id	sid	tid	token	lemma	pos
easat-4570	1	1	edelweiss	edelweiss	PROPN
easat-4570	1	2	applied	apply	VERB
easat-4570	1	3	science	science	NOUN
easat-4570	1	4	and	and	CCONJ
easat-4570	1	5	technology	technology	NOUN
easat-4570	1	6	issn	issn	PROPN
easat-4570	1	7	:	:	PUNCT
easat-4570	1	8	2576	2576	NUM
easat-4570	1	9	-	-	SYM
easat-4570	1	10	8484	8484	NUM
easat-4570	1	11	vol	vol	NOUN
easat-4570	1	12	.	.	PROPN
easat-4570	2	1	9	9	NUM
easat-4570	2	2	,	,	PUNCT
easat-4570	2	3	no	no	INTJ
easat-4570	2	4	.	.	NOUN
easat-4570	2	5	2	2	NUM
easat-4570	2	6	,	,	PUNCT
easat-4570	2	7	682	682	NUM
easat-4570	2	8	-	-	SYM
easat-4570	2	9	707	707	NUM
easat-4570	2	10	2025	2025	NUM
easat-4570	2	11	publisher	publisher	NOUN
easat-4570	2	12	:	:	PUNCT
easat-4570	2	13	learning	learn	VERB
easat-4570	2	14	gate	gate	NOUN
easat-4570	2	15	doi	doi	PROPN
easat-4570	2	16	:	:	PUNCT
easat-4570	2	17	10.55214/25768484.v9i2.4570	10.55214/25768484.v9i2.4570	NUM
easat-4570	2	18	©	©	PROPN
easat-4570	2	19	2024	2024	NUM
easat-4570	2	20	by	by	ADP
easat-4570	2	21	the	the	DET
easat-4570	2	22	authors	author	NOUN
easat-4570	2	23	;	;	PUNCT
easat-4570	2	24	licensee	licensee	PROPN
easat-4570	2	25	learning	learning	NOUN
easat-4570	2	26	gate	gate	NOUN
easat-4570	2	27	©	©	PROPN
easat-4570	2	28	2025	2025	NUM
easat-4570	2	29	by	by	ADP
easat-4570	2	30	the	the	DET
easat-4570	2	31	authors	author	NOUN
easat-4570	2	32	;	;	PUNCT
easat-4570	2	33	licensee	licensee	PROPN
easat-4570	2	34	learning	learning	NOUN
easat-4570	2	35	gate	gate	NOUN
easat-4570	2	36	history	history	NOUN
easat-4570	2	37	:	:	PUNCT
easat-4570	2	38	received	receive	VERB
easat-4570	2	39	:	:	PUNCT
easat-4570	2	40	9	9	NUM
easat-4570	2	41	december	december	PROPN
easat-4570	2	42	2024	2024	NUM
easat-4570	2	43	;	;	PUNCT
easat-4570	2	44	revised	revise	VERB
easat-4570	2	45	:	:	PUNCT
easat-4570	2	46	28	28	NUM
easat-4570	2	47	january	january	NOUN
easat-4570	2	48	2025	2025	NUM
easat-4570	2	49	;	;	PUNCT
easat-4570	2	50	accepted	accept	VERB
easat-4570	2	51	:	:	PUNCT
easat-4570	2	52	28	28	NUM
easat-4570	2	53	january	january	NOUN
easat-4570	2	54	2025	2025	NUM
easat-4570	2	55	;	;	PUNCT
easat-4570	2	56	published	publish	VERB
easat-4570	2	57	:	:	PUNCT
easat-4570	2	58	3	3	NUM
easat-4570	2	59	february	february	NOUN
easat-4570	2	60	2025	2025	NUM
easat-4570	2	61	*	*	PUNCT
easat-4570	2	62	correspondence	correspondence	NOUN
easat-4570	2	63	:	:	PUNCT
easat-4570	3	1	xpolisi@epoka.edu.al	xpolisi@epoka.edu.al	NOUN
easat-4570	3	2	optimizing	optimize	VERB
easat-4570	3	3	the	the	DET
easat-4570	3	4	combination	combination	NOUN
easat-4570	3	5	of	of	ADP
easat-4570	3	6	feature	feature	NOUN
easat-4570	3	7	extraction	extraction	NOUN
easat-4570	3	8	and	and	CCONJ
easat-4570	3	9	classifiers	classifier	NOUN
easat-4570	3	10	in	in	ADP
easat-4570	3	11	supervised	supervised	ADJ
easat-4570	3	12	classification	classification	NOUN
easat-4570	3	13	of	of	ADP
easat-4570	3	14	cells	cell	NOUN
easat-4570	3	15	images	image	NOUN
easat-4570	3	16	xhoena	xhoena	PUNCT
easat-4570	3	17	polisi	polisi	PROPN
easat-4570	3	18	duro1,2	duro1,2	PROPN
easat-4570	3	19	*	*	PROPN
easat-4570	3	20	,	,	PUNCT
easat-4570	3	21	arban	arban	ADJ
easat-4570	3	22	uka2	uka2	PROPN
easat-4570	3	23	,	,	PUNCT
easat-4570	3	24	griselda	griselda	PROPN
easat-4570	3	25	alushllari2	alushllari2	PROPN
easat-4570	3	26	,	,	PUNCT
easat-4570	3	27	albana	albana	PROPN
easat-4570	3	28	ndreu	ndreu	PROPN
easat-4570	3	29	halili3	halili3	PROPN
easat-4570	3	30	,	,	PUNCT
easat-4570	3	31	dimitrios	dimitrio	VERB
easat-4570	3	32	a.	a.	NOUN
easat-4570	3	33	karras2	karras2	PROPN
easat-4570	3	34	,	,	PUNCT
easat-4570	3	35	nihal	nihal	PROPN
easat-4570	3	36	engin	engin	PROPN
easat-4570	3	37	vrana4	vrana4	PROPN
easat-4570	3	38	1department	1department	NUM
easat-4570	3	39	of	of	ADP
easat-4570	3	40	informatics	informatic	NOUN
easat-4570	3	41	,	,	PUNCT
easat-4570	3	42	“	"	PUNCT
easat-4570	3	43	fan	fan	PROPN
easat-4570	3	44	s.	s.	PROPN
easat-4570	3	45	noli	noli	PROPN
easat-4570	3	46	”	"	PUNCT
easat-4570	3	47	university	university	PROPN
easat-4570	3	48	,	,	PUNCT
easat-4570	3	49	korça	korça	PROPN
easat-4570	3	50	,	,	PUNCT
easat-4570	3	51	albania	albania	PROPN
easat-4570	3	52	;	;	PUNCT
easat-4570	3	53	xpolisi@epoka.edu.al	xpolisi@epoka.edu.al	PROPN
easat-4570	3	54	(	(	PUNCT
easat-4570	3	55	x.p.d	x.p.d	NOUN
easat-4570	3	56	.	.	PUNCT
easat-4570	3	57	)	)	PUNCT
easat-4570	3	58	.	.	PUNCT
easat-4570	4	1	2department	2department	NUM
easat-4570	4	2	of	of	ADP
easat-4570	4	3	computer	computer	NOUN
easat-4570	4	4	engineering	engineering	NOUN
easat-4570	4	5	,	,	PUNCT
easat-4570	4	6	epoka	epoka	PROPN
easat-4570	4	7	university	university	NOUN
easat-4570	4	8	,	,	PUNCT
easat-4570	4	9	tirana	tirana	PROPN
easat-4570	4	10	,	,	PUNCT
easat-4570	4	11	albania	albania	PROPN
easat-4570	4	12	;	;	PUNCT
easat-4570	4	13	auka@epoka.edu.al	auka@epoka.edu.al	PROPN
easat-4570	4	14	(	(	PUNCT
easat-4570	4	15	a.u	a.u	PROPN
easat-4570	4	16	.	.	PROPN
easat-4570	4	17	)	)	PUNCT
easat-4570	5	1	galushllari@epoka.edu.al	galushllari@epoka.edu.al	NOUN
easat-4570	5	2	(	(	PUNCT
easat-4570	5	3	g.a	g.a	PROPN
easat-4570	5	4	.	.	PUNCT
easat-4570	5	5	)	)	PUNCT
easat-4570	6	1	dkarras@epoka.edu.al	dkarras@epoka.edu.al	ADJ
easat-4570	6	2	(	(	PUNCT
easat-4570	6	3	d.a.k	d.a.k	NOUN
easat-4570	6	4	.	.	PUNCT
easat-4570	6	5	)	)	PUNCT
easat-4570	7	1	3department	3department	NUM
easat-4570	7	2	of	of	ADP
easat-4570	7	3	medicine	medicine	NOUN
easat-4570	7	4	,	,	PUNCT
easat-4570	7	5	western	western	ADJ
easat-4570	7	6	balkans	balkans	PROPN
easat-4570	7	7	university	university	NOUN
easat-4570	7	8	,	,	PUNCT
easat-4570	7	9	tirana	tirana	PROPN
easat-4570	7	10	,	,	PUNCT
easat-4570	7	11	albania	albania	PROPN
easat-4570	7	12	;	;	PUNCT
easat-4570	7	13	albana.halili@wbu.edu.al	albana.halili@wbu.edu.al	PROPN
easat-4570	7	14	(	(	PUNCT
easat-4570	7	15	a.n.h	a.n.h	NOUN
easat-4570	7	16	.	.	PUNCT
easat-4570	7	17	)	)	PUNCT
easat-4570	8	1	4spartha	4spartha	NUM
easat-4570	8	2	medical	medical	ADJ
easat-4570	8	3	,	,	PUNCT
easat-4570	8	4	strasbourg	strasbourg	NOUN
easat-4570	8	5	,	,	PUNCT
easat-4570	8	6	france	france	PROPN
easat-4570	8	7	;	;	PUNCT
easat-4570	8	8	evrana@sparthamedical.eu	evrana@sparthamedical.eu	X
easat-4570	8	9	(	(	PUNCT
easat-4570	8	10	n.e.v	n.e.v	ADJ
easat-4570	8	11	.	.	PUNCT
easat-4570	8	12	)	)	PUNCT
easat-4570	9	1	abstract	abstract	NOUN
easat-4570	9	2	:	:	PUNCT
easat-4570	9	3	developments	development	NOUN
easat-4570	9	4	in	in	ADP
easat-4570	9	5	the	the	DET
easat-4570	9	6	medical	medical	ADJ
easat-4570	9	7	field	field	NOUN
easat-4570	9	8	have	have	AUX
easat-4570	9	9	opened	open	VERB
easat-4570	9	10	the	the	DET
easat-4570	9	11	opportunity	opportunity	NOUN
easat-4570	9	12	to	to	PART
easat-4570	9	13	conduct	conduct	VERB
easat-4570	9	14	analyses	analysis	NOUN
easat-4570	9	15	on	on	ADP
easat-4570	9	16	a	a	DET
easat-4570	9	17	personalized	personalized	ADJ
easat-4570	9	18	patient	patient	ADJ
easat-4570	9	19	level	level	NOUN
easat-4570	9	20	.	.	PUNCT
easat-4570	10	1	one	one	NUM
easat-4570	10	2	of	of	ADP
easat-4570	10	3	the	the	DET
easat-4570	10	4	important	important	ADJ
easat-4570	10	5	analyses	analysis	NOUN
easat-4570	10	6	that	that	PRON
easat-4570	10	7	can	can	AUX
easat-4570	10	8	be	be	AUX
easat-4570	10	9	conducted	conduct	VERB
easat-4570	10	10	is	be	AUX
easat-4570	10	11	the	the	DET
easat-4570	10	12	cellular	cellular	ADJ
easat-4570	10	13	response	response	NOUN
easat-4570	10	14	to	to	ADP
easat-4570	10	15	engineered	engineer	VERB
easat-4570	10	16	materials	material	NOUN
easat-4570	10	17	,	,	PUNCT
easat-4570	10	18	and	and	CCONJ
easat-4570	10	19	the	the	DET
easat-4570	10	20	most	most	ADV
easat-4570	10	21	appropriate	appropriate	ADJ
easat-4570	10	22	non	non	ADJ
easat-4570	10	23	-	-	ADJ
easat-4570	10	24	invasive	invasive	ADJ
easat-4570	10	25	methods	method	NOUN
easat-4570	10	26	are	be	AUX
easat-4570	10	27	imaging	image	VERB
easat-4570	10	28	.	.	PUNCT
easat-4570	11	1	these	these	DET
easat-4570	11	2	images	image	NOUN
easat-4570	11	3	of	of	ADP
easat-4570	11	4	the	the	DET
easat-4570	11	5	cells	cell	NOUN
easat-4570	11	6	are	be	AUX
easat-4570	11	7	unstained	unstained	ADJ
easat-4570	11	8	brightfield	brightfield	NOUN
easat-4570	11	9	images	image	NOUN
easat-4570	11	10	,	,	PUNCT
easat-4570	11	11	as	as	SCONJ
easat-4570	11	12	they	they	PRON
easat-4570	11	13	are	be	AUX
easat-4570	11	14	acquired	acquire	VERB
easat-4570	11	15	from	from	ADP
easat-4570	11	16	multiparametric	multiparametric	ADJ
easat-4570	11	17	microfluidic	microfluidic	ADJ
easat-4570	11	18	chambers	chamber	NOUN
easat-4570	11	19	in	in	ADP
easat-4570	11	20	the	the	DET
easat-4570	11	21	presence	presence	NOUN
easat-4570	11	22	of	of	ADP
easat-4570	11	23	biomaterials	biomaterial	NOUN
easat-4570	11	24	and	and	CCONJ
easat-4570	11	25	fluids	fluid	NOUN
easat-4570	11	26	that	that	PRON
easat-4570	11	27	can	can	AUX
easat-4570	11	28	change	change	VERB
easat-4570	11	29	the	the	DET
easat-4570	11	30	optical	optical	ADJ
easat-4570	11	31	path	path	NOUN
easat-4570	11	32	length	length	NOUN
easat-4570	11	33	over	over	ADP
easat-4570	11	34	time	time	NOUN
easat-4570	11	35	as	as	SCONJ
easat-4570	11	36	the	the	DET
easat-4570	11	37	cells	cell	NOUN
easat-4570	11	38	’	’	PART
easat-4570	11	39	health	health	NOUN
easat-4570	11	40	state	state	NOUN
easat-4570	11	41	is	be	AUX
easat-4570	11	42	monitored	monitor	VERB
easat-4570	11	43	.	.	PUNCT
easat-4570	12	1	these	these	DET
easat-4570	12	2	experimental	experimental	ADJ
easat-4570	12	3	conditions	condition	NOUN
easat-4570	12	4	lead	lead	VERB
easat-4570	12	5	to	to	ADP
easat-4570	12	6	an	an	DET
easat-4570	12	7	image	image	NOUN
easat-4570	12	8	dataset	dataset	VERB
easat-4570	12	9	with	with	ADP
easat-4570	12	10	unique	unique	ADJ
easat-4570	12	11	illumination	illumination	NOUN
easat-4570	12	12	,	,	PUNCT
easat-4570	12	13	texture	texture	NOUN
easat-4570	12	14	,	,	PUNCT
easat-4570	12	15	and	and	CCONJ
easat-4570	12	16	noise	noise	NOUN
easat-4570	12	17	spectrum	spectrum	NOUN
easat-4570	12	18	.	.	PUNCT
easat-4570	13	1	this	this	DET
easat-4570	13	2	study	study	NOUN
easat-4570	13	3	explores	explore	VERB
easat-4570	13	4	the	the	DET
easat-4570	13	5	optimization	optimization	NOUN
easat-4570	13	6	of	of	ADP
easat-4570	13	7	supervised	supervised	ADJ
easat-4570	13	8	cell	cell	NOUN
easat-4570	13	9	classification	classification	NOUN
easat-4570	13	10	by	by	ADP
easat-4570	13	11	combining	combine	VERB
easat-4570	13	12	feature	feature	NOUN
easat-4570	13	13	extraction	extraction	NOUN
easat-4570	13	14	architectures	architecture	NOUN
easat-4570	13	15	and	and	CCONJ
easat-4570	13	16	machine	machine	NOUN
easat-4570	13	17	learning	learn	VERB
easat-4570	13	18	classifiers	classifier	NOUN
easat-4570	13	19	,	,	PUNCT
easat-4570	13	20	with	with	ADP
easat-4570	13	21	a	a	DET
easat-4570	13	22	focus	focus	NOUN
easat-4570	13	23	on	on	ADP
easat-4570	13	24	applications	application	NOUN
easat-4570	13	25	in	in	ADP
easat-4570	13	26	biomaterial	biomaterial	ADJ
easat-4570	13	27	risk	risk	NOUN
easat-4570	13	28	assessment	assessment	NOUN
easat-4570	13	29	.	.	PUNCT
easat-4570	14	1	brightfield	brightfield	NOUN
easat-4570	14	2	microscopy	microscopy	NOUN
easat-4570	14	3	images	image	NOUN
easat-4570	14	4	of	of	ADP
easat-4570	14	5	three	three	NUM
easat-4570	14	6	cell	cell	NOUN
easat-4570	14	7	types	type	NOUN
easat-4570	14	8	(	(	PUNCT
easat-4570	14	9	a549	a549	PROPN
easat-4570	14	10	,	,	PUNCT
easat-4570	14	11	balb	balb	VERB
easat-4570	14	12	3t3	3t3	NUM
easat-4570	14	13	,	,	PUNCT
easat-4570	14	14	and	and	CCONJ
easat-4570	14	15	thp1	thp1	NOUN
easat-4570	14	16	)	)	PUNCT
easat-4570	14	17	were	be	AUX
easat-4570	14	18	analyzed	analyze	VERB
easat-4570	14	19	to	to	PART
easat-4570	14	20	evaluate	evaluate	VERB
easat-4570	14	21	the	the	DET
easat-4570	14	22	impact	impact	NOUN
easat-4570	14	23	of	of	ADP
easat-4570	14	24	inception	inception	PROPN
easat-4570	14	25	v3	v3	PROPN
easat-4570	14	26	,	,	PUNCT
easat-4570	14	27	squeeze	squeeze	VERB
easat-4570	14	28	net	net	NOUN
easat-4570	14	29	,	,	PUNCT
easat-4570	14	30	and	and	CCONJ
easat-4570	14	31	vgg16	vgg16	NOUN
easat-4570	14	32	architectures	architecture	NOUN
easat-4570	14	33	paired	pair	VERB
easat-4570	14	34	with	with	ADP
easat-4570	14	35	classifiers	classifier	NOUN
easat-4570	14	36	including	include	VERB
easat-4570	14	37	knn	knn	PROPN
easat-4570	14	38	,	,	PUNCT
easat-4570	14	39	decision	decision	NOUN
easat-4570	14	40	tree	tree	NOUN
easat-4570	14	41	,	,	PUNCT
easat-4570	14	42	random	random	ADJ
easat-4570	14	43	forest	forest	NOUN
easat-4570	14	44	,	,	PUNCT
easat-4570	14	45	adaboost	adaboost	ADV
easat-4570	14	46	,	,	PUNCT
easat-4570	14	47	neural	neural	ADJ
easat-4570	14	48	networks	network	NOUN
easat-4570	14	49	,	,	PUNCT
easat-4570	14	50	and	and	CCONJ
easat-4570	14	51	naïve	naïve	ADJ
easat-4570	14	52	bayes	bayes	NOUN
easat-4570	14	53	.	.	PUNCT
easat-4570	15	1	dimensionality	dimensionality	NOUN
easat-4570	15	2	reduction	reduction	NOUN
easat-4570	15	3	using	use	VERB
easat-4570	15	4	information	information	NOUN
easat-4570	15	5	gain	gain	NOUN
easat-4570	15	6	was	be	AUX
easat-4570	15	7	applied	apply	VERB
easat-4570	15	8	to	to	PART
easat-4570	15	9	improve	improve	VERB
easat-4570	15	10	computational	computational	ADJ
easat-4570	15	11	efficiency	efficiency	NOUN
easat-4570	15	12	and	and	CCONJ
easat-4570	15	13	accuracy	accuracy	NOUN
easat-4570	15	14	.	.	PUNCT
easat-4570	16	1	butterworth	butterworth	NOUN
easat-4570	16	2	filters	filter	NOUN
easat-4570	16	3	with	with	ADP
easat-4570	16	4	varying	vary	VERB
easat-4570	16	5	parameters	parameter	NOUN
easat-4570	16	6	were	be	AUX
easat-4570	16	7	used	use	VERB
easat-4570	16	8	to	to	PART
easat-4570	16	9	balance	balance	VERB
easat-4570	16	10	the	the	DET
easat-4570	16	11	enhancement	enhancement	NOUN
easat-4570	16	12	of	of	ADP
easat-4570	16	13	image	image	NOUN
easat-4570	16	14	features	feature	NOUN
easat-4570	16	15	and	and	CCONJ
easat-4570	16	16	noise	noise	NOUN
easat-4570	16	17	removal	removal	NOUN
easat-4570	16	18	,	,	PUNCT
easat-4570	16	19	improving	improve	VERB
easat-4570	16	20	classification	classification	NOUN
easat-4570	16	21	performance	performance	NOUN
easat-4570	16	22	in	in	ADP
easat-4570	16	23	certain	certain	ADJ
easat-4570	16	24	cases	case	NOUN
easat-4570	16	25	.	.	PUNCT
easat-4570	17	1	experimental	experimental	ADJ
easat-4570	17	2	results	result	NOUN
easat-4570	17	3	demonstrate	demonstrate	VERB
easat-4570	17	4	that	that	SCONJ
easat-4570	17	5	the	the	DET
easat-4570	17	6	vgg16	vgg16	NOUN
easat-4570	17	7	architecture	architecture	NOUN
easat-4570	17	8	,	,	PUNCT
easat-4570	17	9	when	when	SCONJ
easat-4570	17	10	paired	pair	VERB
easat-4570	17	11	with	with	ADP
easat-4570	17	12	neural	neural	ADJ
easat-4570	17	13	networks	network	NOUN
easat-4570	17	14	,	,	PUNCT
easat-4570	17	15	achieves	achieve	VERB
easat-4570	17	16	higher	high	ADJ
easat-4570	17	17	classification	classification	NOUN
easat-4570	17	18	accuracy	accuracy	NOUN
easat-4570	17	19	as	as	SCONJ
easat-4570	17	20	measured	measure	VERB
easat-4570	17	21	by	by	ADP
easat-4570	17	22	different	different	ADJ
easat-4570	17	23	metrics	metric	NOUN
easat-4570	17	24	.	.	PUNCT
easat-4570	18	1	the	the	DET
easat-4570	18	2	improved	improved	ADJ
easat-4570	18	3	accuracy	accuracy	NOUN
easat-4570	18	4	when	when	SCONJ
easat-4570	18	5	using	use	VERB
easat-4570	18	6	butterworth	butterworth	ADJ
easat-4570	18	7	filters	filter	NOUN
easat-4570	18	8	compared	compare	VERB
easat-4570	18	9	to	to	ADP
easat-4570	18	10	the	the	DET
easat-4570	18	11	unfiltered	unfiltered	ADJ
easat-4570	18	12	dataset	dataset	NOUN
easat-4570	18	13	and	and	CCONJ
easat-4570	18	14	the	the	DET
easat-4570	18	15	differences	difference	NOUN
easat-4570	18	16	between	between	ADP
easat-4570	18	17	various	various	ADJ
easat-4570	18	18	butterworth	butterworth	NOUN
easat-4570	18	19	filters	filter	NOUN
easat-4570	18	20	indicate	indicate	VERB
easat-4570	18	21	the	the	DET
easat-4570	18	22	importance	importance	NOUN
easat-4570	18	23	of	of	ADP
easat-4570	18	24	optimizing	optimize	VERB
easat-4570	18	25	filter	filter	NOUN
easat-4570	18	26	parameters	parameter	NOUN
easat-4570	18	27	for	for	ADP
easat-4570	18	28	these	these	DET
easat-4570	18	29	types	type	NOUN
easat-4570	18	30	of	of	ADP
easat-4570	18	31	images	image	NOUN
easat-4570	18	32	.	.	PUNCT
easat-4570	19	1	keywords	keyword	NOUN
easat-4570	19	2	:	:	PUNCT
easat-4570	19	3	biomaterial	biomaterial	ADJ
easat-4570	19	4	risk	risk	NOUN
easat-4570	19	5	assessment	assessment	NOUN
easat-4570	19	6	,	,	PUNCT
easat-4570	19	7	cell	cell	NOUN
easat-4570	19	8	image	image	NOUN
easat-4570	19	9	classification	classification	NOUN
easat-4570	19	10	,	,	PUNCT
easat-4570	19	11	classifier	classifier	NOUN
easat-4570	19	12	,	,	PUNCT
easat-4570	19	13	feature	feature	NOUN
easat-4570	19	14	extraction	extraction	NOUN
easat-4570	19	15	,	,	PUNCT
easat-4570	19	16	personalized	personalized	ADJ
easat-4570	19	17	medicine	medicine	NOUN
easat-4570	19	18	,	,	PUNCT
easat-4570	19	19	supervised	supervise	VERB
easat-4570	19	20	classification	classification	NOUN
easat-4570	19	21	.	.	PUNCT
easat-4570	20	1	1	1	X
easat-4570	20	2	.	.	X
easat-4570	20	3	introduction	introduction	NOUN
easat-4570	20	4	biomedical	biomedical	ADJ
easat-4570	20	5	research	research	NOUN
easat-4570	20	6	covers	cover	VERB
easat-4570	20	7	a	a	DET
easat-4570	20	8	broad	broad	ADJ
easat-4570	20	9	spectrum	spectrum	NOUN
easat-4570	20	10	of	of	ADP
easat-4570	20	11	areas	area	NOUN
easat-4570	20	12	that	that	PRON
easat-4570	20	13	often	often	ADV
easat-4570	20	14	are	be	AUX
easat-4570	20	15	highly	highly	ADV
easat-4570	20	16	interdisciplinary	interdisciplinary	ADJ
easat-4570	20	17	by	by	ADP
easat-4570	20	18	integrating	integrate	VERB
easat-4570	20	19	molecular	molecular	ADJ
easat-4570	20	20	biology	biology	NOUN
easat-4570	20	21	[	[	X
easat-4570	20	22	1	1	NUM
easat-4570	20	23	]	]	PUNCT
easat-4570	20	24	bioelectronics	bioelectronic	NOUN
easat-4570	20	25	engineering	engineering	NOUN
easat-4570	20	26	[	[	X
easat-4570	20	27	2	2	NUM
easat-4570	20	28	]	]	X
easat-4570	20	29	genetics	genetic	NOUN
easat-4570	20	30	[	[	X
easat-4570	20	31	3	3	NUM
easat-4570	20	32	]	]	ADJ
easat-4570	20	33	biomaterials	biomaterial	NOUN
easat-4570	20	34	[	[	X
easat-4570	20	35	4	4	NUM
easat-4570	20	36	,	,	PUNCT
easat-4570	20	37	5	5	NUM
easat-4570	20	38	]	]	SYM
easat-4570	20	39	clinical	clinical	ADJ
easat-4570	20	40	medicine	medicine	NOUN
easat-4570	21	1	[	[	X
easat-4570	21	2	6	6	NUM
easat-4570	21	3	]	]	PUNCT
easat-4570	21	4	and	and	CCONJ
easat-4570	21	5	data	datum	NOUN
easat-4570	21	6	science	science	NOUN
easat-4570	21	7	[	[	X
easat-4570	21	8	7	7	NUM
easat-4570	21	9	]	]	PUNCT
easat-4570	21	10	.	.	PUNCT
easat-4570	22	1	the	the	DET
easat-4570	22	2	major	major	ADJ
easat-4570	22	3	objective	objective	NOUN
easat-4570	22	4	is	be	AUX
easat-4570	22	5	to	to	PART
easat-4570	22	6	understand	understand	VERB
easat-4570	22	7	biological	biological	ADJ
easat-4570	22	8	processes	process	NOUN
easat-4570	22	9	and	and	CCONJ
easat-4570	22	10	disease	disease	NOUN
easat-4570	22	11	mechanisms	mechanism	NOUN
easat-4570	22	12	,	,	PUNCT
easat-4570	22	13	to	to	PART
easat-4570	22	14	improve	improve	VERB
easat-4570	22	15	diagnostics	diagnostic	NOUN
easat-4570	22	16	and	and	CCONJ
easat-4570	22	17	intervention	intervention	NOUN
easat-4570	22	18	,	,	PUNCT
easat-4570	22	19	to	to	PART
easat-4570	22	20	develop	develop	VERB
easat-4570	22	21	effective	effective	ADJ
easat-4570	22	22	treatments	treatment	NOUN
easat-4570	22	23	,	,	PUNCT
easat-4570	22	24	to	to	PART
easat-4570	22	25	design	design	VERB
easat-4570	22	26	and	and	CCONJ
easat-4570	22	27	synthesize	synthesize	VERB
easat-4570	22	28	materials	material	NOUN
easat-4570	22	29	that	that	PRON
easat-4570	22	30	interact	interact	VERB
easat-4570	22	31	safely	safely	ADV
easat-4570	22	32	with	with	ADP
easat-4570	22	33	the	the	DET
easat-4570	22	34	biological	biological	ADJ
easat-4570	22	35	systems	system	NOUN
easat-4570	22	36	.	.	PUNCT
easat-4570	23	1	over	over	ADP
easat-4570	23	2	the	the	DET
easat-4570	23	3	last	last	ADJ
easat-4570	23	4	two	two	NUM
easat-4570	23	5	decades	decade	NOUN
easat-4570	23	6	,	,	PUNCT
easat-4570	23	7	a	a	DET
easat-4570	23	8	range	range	NOUN
easat-4570	23	9	of	of	ADP
easat-4570	23	10	advancements	advancement	NOUN
easat-4570	23	11	in	in	ADP
easat-4570	23	12	biomaterial	biomaterial	ADJ
easat-4570	23	13	engineering	engineering	NOUN
easat-4570	23	14	have	have	AUX
easat-4570	23	15	significantly	significantly	ADV
easat-4570	23	16	enhanced	enhance	VERB
easat-4570	23	17	the	the	DET
easat-4570	23	18	field	field	NOUN
easat-4570	23	19	,	,	PUNCT
easat-4570	23	20	making	make	VERB
easat-4570	23	21	it	it	PRON
easat-4570	23	22	possible	possible	ADJ
easat-4570	23	23	to	to	PART
easat-4570	23	24	conduct	conduct	VERB
easat-4570	23	25	patient	patient	ADJ
easat-4570	23	26	evaluations	evaluation	NOUN
easat-4570	23	27	and	and	CCONJ
easat-4570	23	28	treatments	treatment	NOUN
easat-4570	23	29	at	at	ADP
easat-4570	23	30	a	a	DET
easat-4570	23	31	more	more	ADV
easat-4570	23	32	personalized	personalized	ADJ
easat-4570	23	33	level	level	NOUN
easat-4570	23	34	.	.	PUNCT
easat-4570	24	1	major	major	ADJ
easat-4570	24	2	drives	drive	NOUN
easat-4570	24	3	include	include	VERB
easat-4570	24	4	:	:	PUNCT
easat-4570	24	5	i	i	NOUN
easat-4570	24	6	)	)	PUNCT
easat-4570	24	7	high	high	ADJ
easat-4570	24	8	-	-	PUNCT
easat-4570	24	9	resolution	resolution	NOUN
easat-4570	24	10	3d	3d	NUM
easat-4570	24	11	bioprinting	bioprinting	NOUN
easat-4570	24	12	,	,	PUNCT
easat-4570	24	13	ii	ii	NOUN
easat-4570	24	14	)	)	PUNCT
easat-4570	24	15	novel	novel	ADJ
easat-4570	24	16	nanofabrication	nanofabrication	NOUN
easat-4570	24	17	techniques	technique	NOUN
easat-4570	24	18	,	,	PUNCT
easat-4570	24	19	iii	iii	X
easat-4570	24	20	)	)	PUNCT
easat-4570	24	21	development	development	NOUN
easat-4570	24	22	683	683	NUM
easat-4570	24	23	edelweiss	edelweiss	PROPN
easat-4570	24	24	applied	apply	VERB
easat-4570	24	25	science	science	NOUN
easat-4570	24	26	and	and	CCONJ
easat-4570	24	27	technology	technology	NOUN
easat-4570	24	28	issn	issn	PROPN
easat-4570	24	29	:	:	PUNCT
easat-4570	24	30	2576	2576	NUM
easat-4570	24	31	-	-	SYM
easat-4570	24	32	8484	8484	NUM
easat-4570	24	33	vol	vol	NOUN
easat-4570	24	34	.	.	PROPN
easat-4570	25	1	9	9	NUM
easat-4570	25	2	,	,	PUNCT
easat-4570	25	3	no	no	INTJ
easat-4570	25	4	.	.	NOUN
easat-4570	25	5	2	2	NUM
easat-4570	25	6	:	:	PUNCT
easat-4570	25	7	682	682	NUM
easat-4570	25	8	-	-	SYM
easat-4570	25	9	707	707	NUM
easat-4570	25	10	,	,	PUNCT
easat-4570	25	11	2025	2025	NUM
easat-4570	25	12	doi	doi	NOUN
easat-4570	25	13	:	:	PUNCT
easat-4570	25	14	10.55214/25768484.v9i2.4570	10.55214/25768484.v9i2.4570	NUM
easat-4570	25	15	©	©	PROPN
easat-4570	25	16	2025	2025	NUM
easat-4570	25	17	by	by	ADP
easat-4570	25	18	the	the	DET
easat-4570	25	19	authors	author	NOUN
easat-4570	25	20	;	;	PUNCT
easat-4570	25	21	licensee	licensee	PROPN
easat-4570	25	22	learning	learn	VERB
easat-4570	25	23	gate	gate	NOUN
easat-4570	25	24	of	of	ADP
easat-4570	25	25	functionalized	functionalize	VERB
easat-4570	25	26	bioactive	bioactive	ADJ
easat-4570	25	27	coatings	coating	NOUN
easat-4570	25	28	,	,	PUNCT
easat-4570	25	29	iv	iv	X
easat-4570	25	30	)	)	PUNCT
easat-4570	25	31	stimuli	stimuli	VERB
easat-4570	25	32	responsive	responsive	ADJ
easat-4570	25	33	hydrogels	hydrogel	NOUN
easat-4570	25	34	,	,	PUNCT
easat-4570	25	35	v	v	NOUN
easat-4570	25	36	)	)	PUNCT
easat-4570	25	37	advanced	advanced	ADJ
easat-4570	25	38	imaging	imaging	NOUN
easat-4570	25	39	[	[	X
easat-4570	25	40	8	8	NUM
easat-4570	25	41	]	]	PUNCT
easat-4570	25	42	.	.	PUNCT
easat-4570	26	1	the	the	DET
easat-4570	26	2	control	control	NOUN
easat-4570	26	3	of	of	ADP
easat-4570	26	4	the	the	DET
easat-4570	26	5	porosity	porosity	NOUN
easat-4570	26	6	and	and	CCONJ
easat-4570	26	7	the	the	DET
easat-4570	26	8	pore	pore	ADJ
easat-4570	26	9	size	size	NOUN
easat-4570	26	10	on	on	ADP
easat-4570	26	11	the	the	DET
easat-4570	26	12	nanofibers	nanofiber	NOUN
easat-4570	26	13	are	be	AUX
easat-4570	26	14	important	important	ADJ
easat-4570	26	15	parameters	parameter	NOUN
easat-4570	26	16	in	in	ADP
easat-4570	26	17	biomaterial	biomaterial	ADJ
easat-4570	26	18	-	-	PUNCT
easat-4570	26	19	cell	cell	NOUN
easat-4570	26	20	interaction	interaction	NOUN
easat-4570	26	21	and	and	CCONJ
easat-4570	26	22	these	these	PRON
easat-4570	26	23	can	can	AUX
easat-4570	26	24	both	both	PRON
easat-4570	26	25	be	be	AUX
easat-4570	26	26	fabricated	fabricate	VERB
easat-4570	26	27	with	with	ADP
easat-4570	26	28	high	high	ADJ
easat-4570	26	29	control	control	NOUN
easat-4570	26	30	aiming	aim	VERB
easat-4570	26	31	to	to	PART
easat-4570	26	32	mimic	mimic	VERB
easat-4570	26	33	biological	biological	ADJ
easat-4570	26	34	systems	system	NOUN
easat-4570	26	35	[	[	X
easat-4570	26	36	9	9	NUM
easat-4570	26	37	,	,	PUNCT
easat-4570	26	38	10	10	NUM
easat-4570	26	39	]	]	PUNCT
easat-4570	26	40	.	.	PUNCT
easat-4570	27	1	these	these	DET
easat-4570	27	2	three	three	NUM
easat-4570	27	3	-	-	PUNCT
easat-4570	27	4	dimensional	dimensional	ADJ
easat-4570	27	5	structures	structure	NOUN
easat-4570	27	6	can	can	AUX
easat-4570	27	7	be	be	AUX
easat-4570	27	8	constructed	construct	VERB
easat-4570	27	9	using	use	VERB
easat-4570	27	10	nanofibers	nanofiber	NOUN
easat-4570	27	11	produced	produce	VERB
easat-4570	27	12	by	by	ADP
easat-4570	27	13	electrospinning	electrospinne	VERB
easat-4570	27	14	and	and	CCONJ
easat-4570	27	15	the	the	DET
easat-4570	27	16	whole	whole	NOUN
easat-4570	27	17	serves	serve	VERB
easat-4570	27	18	as	as	ADP
easat-4570	27	19	an	an	DET
easat-4570	27	20	extracellular	extracellular	ADJ
easat-4570	27	21	matrix	matrix	NOUN
easat-4570	27	22	that	that	PRON
easat-4570	27	23	provides	provide	VERB
easat-4570	27	24	mechanical	mechanical	ADJ
easat-4570	27	25	support	support	NOUN
easat-4570	27	26	for	for	ADP
easat-4570	27	27	the	the	DET
easat-4570	27	28	biological	biological	ADJ
easat-4570	27	29	samples	sample	NOUN
easat-4570	27	30	that	that	PRON
easat-4570	27	31	can	can	AUX
easat-4570	27	32	be	be	AUX
easat-4570	27	33	studied	study	VERB
easat-4570	27	34	[	[	PUNCT
easat-4570	27	35	11	11	NUM
easat-4570	27	36	]	]	PUNCT
easat-4570	27	37	.	.	PUNCT
easat-4570	28	1	these	these	DET
easat-4570	28	2	structures	structure	NOUN
easat-4570	28	3	facilitate	facilitate	VERB
easat-4570	28	4	the	the	DET
easat-4570	28	5	evaluation	evaluation	NOUN
easat-4570	28	6	of	of	ADP
easat-4570	28	7	the	the	DET
easat-4570	28	8	cell	cell	NOUN
easat-4570	28	9	interaction	interaction	NOUN
easat-4570	28	10	with	with	ADP
easat-4570	28	11	nano	nano	NOUN
easat-4570	28	12	-	-	PUNCT
easat-4570	28	13	structured	structure	VERB
easat-4570	28	14	and	and	CCONJ
easat-4570	28	15	micro	micro	ADJ
easat-4570	28	16	-	-	ADJ
easat-4570	28	17	structured	structured	ADJ
easat-4570	28	18	surfaces	surface	NOUN
easat-4570	28	19	to	to	PART
easat-4570	28	20	further	far	ADV
easat-4570	28	21	study	study	VERB
easat-4570	28	22	the	the	DET
easat-4570	28	23	cellular	cellular	ADJ
easat-4570	28	24	response	response	NOUN
easat-4570	28	25	to	to	ADP
easat-4570	28	26	engineered	engineer	VERB
easat-4570	28	27	materials	material	NOUN
easat-4570	28	28	[	[	X
easat-4570	28	29	12	12	NUM
easat-4570	28	30	]	]	PUNCT
easat-4570	28	31	.	.	PUNCT
easat-4570	29	1	the	the	DET
easat-4570	29	2	development	development	NOUN
easat-4570	29	3	of	of	ADP
easat-4570	29	4	bioactive	bioactive	ADJ
easat-4570	29	5	coatings	coating	NOUN
easat-4570	29	6	that	that	PRON
easat-4570	29	7	are	be	AUX
easat-4570	29	8	patient	patient	ADJ
easat-4570	29	9	-	-	PUNCT
easat-4570	29	10	specific	specific	ADJ
easat-4570	29	11	[	[	X
easat-4570	29	12	13	13	NUM
easat-4570	29	13	,	,	PUNCT
easat-4570	29	14	14	14	NUM
easat-4570	29	15	]	]	PUNCT
easat-4570	29	16	the	the	DET
easat-4570	29	17	novel	novel	ADJ
easat-4570	29	18	use	use	NOUN
easat-4570	29	19	of	of	ADP
easat-4570	29	20	stimuli	stimulus	NOUN
easat-4570	29	21	-	-	PUNCT
easat-4570	29	22	responsive	responsive	ADJ
easat-4570	29	23	hydrogels	hydrogel	NOUN
easat-4570	29	24	and	and	CCONJ
easat-4570	29	25	the	the	DET
easat-4570	29	26	development	development	NOUN
easat-4570	29	27	of	of	ADP
easat-4570	29	28	high	high	ADJ
easat-4570	29	29	-	-	PUNCT
easat-4570	29	30	resolution	resolution	NOUN
easat-4570	29	31	microct	microct	NOUN
easat-4570	29	32	imaging	imaging	NOUN
easat-4570	29	33	help	help	AUX
easat-4570	29	34	understand	understand	VERB
easat-4570	29	35	better	well	ADJ
easat-4570	29	36	the	the	DET
easat-4570	29	37	cell	cell	NOUN
easat-4570	29	38	-	-	PUNCT
easat-4570	29	39	material	material	NOUN
easat-4570	29	40	interaction	interaction	NOUN
easat-4570	29	41	at	at	ADP
easat-4570	29	42	the	the	DET
easat-4570	29	43	cellular	cellular	ADJ
easat-4570	29	44	level	level	NOUN
easat-4570	29	45	.	.	PUNCT
easat-4570	30	1	often	often	ADV
easat-4570	30	2	the	the	DET
easat-4570	30	3	material	material	NOUN
easat-4570	30	4	that	that	PRON
easat-4570	30	5	needs	need	VERB
easat-4570	30	6	to	to	PART
easat-4570	30	7	be	be	AUX
easat-4570	30	8	studied	study	VERB
easat-4570	30	9	is	be	AUX
easat-4570	30	10	a	a	DET
easat-4570	30	11	biomaterial	biomaterial	NOUN
easat-4570	30	12	whose	whose	DET
easat-4570	30	13	toxicity	toxicity	NOUN
easat-4570	30	14	information	information	NOUN
easat-4570	30	15	at	at	ADP
easat-4570	30	16	the	the	DET
easat-4570	30	17	personalized	personalized	ADJ
easat-4570	30	18	level	level	NOUN
easat-4570	30	19	is	be	AUX
easat-4570	30	20	essential	essential	ADJ
easat-4570	30	21	[	[	X
easat-4570	30	22	15	15	NUM
easat-4570	30	23	]	]	PUNCT
easat-4570	30	24	.	.	PUNCT
easat-4570	31	1	having	have	VERB
easat-4570	31	2	the	the	DET
easat-4570	31	3	most	most	ADV
easat-4570	31	4	biocompatible	biocompatible	ADJ
easat-4570	31	5	biomaterial	biomaterial	NOUN
easat-4570	31	6	evaluated	evaluate	VERB
easat-4570	31	7	in	in	ADP
easat-4570	31	8	this	this	DET
easat-4570	31	9	form	form	NOUN
easat-4570	31	10	is	be	AUX
easat-4570	31	11	a	a	DET
easat-4570	31	12	new	new	ADJ
easat-4570	31	13	possibility	possibility	NOUN
easat-4570	31	14	for	for	ADP
easat-4570	31	15	all	all	DET
easat-4570	31	16	patients	patient	NOUN
easat-4570	31	17	in	in	ADP
easat-4570	31	18	need	need	NOUN
easat-4570	31	19	of	of	ADP
easat-4570	31	20	implants	implant	NOUN
easat-4570	31	21	.	.	PUNCT
easat-4570	32	1	to	to	PART
easat-4570	32	2	determine	determine	VERB
easat-4570	32	3	this	this	PRON
easat-4570	32	4	,	,	PUNCT
easat-4570	32	5	microscopy	microscopy	NOUN
easat-4570	32	6	has	have	VERB
easat-4570	32	7	to	to	PART
easat-4570	32	8	be	be	AUX
easat-4570	32	9	used	use	VERB
easat-4570	32	10	for	for	ADP
easat-4570	32	11	a	a	DET
easat-4570	32	12	large	large	ADJ
easat-4570	32	13	number	number	NOUN
easat-4570	32	14	of	of	ADP
easat-4570	32	15	images	image	NOUN
easat-4570	32	16	for	for	ADP
easat-4570	32	17	experiments	experiment	NOUN
easat-4570	32	18	conducted	conduct	VERB
easat-4570	32	19	mostly	mostly	ADV
easat-4570	32	20	on	on	ADP
easat-4570	32	21	multiparametric	multiparametric	ADJ
easat-4570	32	22	microfluidic	microfluidic	ADJ
easat-4570	32	23	chips	chip	NOUN
easat-4570	32	24	over	over	ADP
easat-4570	32	25	the	the	DET
easat-4570	32	26	course	course	NOUN
easat-4570	32	27	of	of	ADP
easat-4570	32	28	a	a	DET
easat-4570	32	29	few	few	ADJ
easat-4570	32	30	weeks	week	NOUN
easat-4570	33	1	[	[	X
easat-4570	33	2	16	16	NUM
easat-4570	33	3	]	]	PUNCT
easat-4570	33	4	.	.	PUNCT
easat-4570	34	1	the	the	DET
easat-4570	34	2	cellular	cellular	ADJ
easat-4570	34	3	response	response	NOUN
easat-4570	34	4	to	to	ADP
easat-4570	34	5	engineered	engineer	VERB
easat-4570	34	6	surfaces	surface	NOUN
easat-4570	34	7	and	and	CCONJ
easat-4570	34	8	biomaterials	biomaterial	NOUN
easat-4570	34	9	at	at	ADP
easat-4570	34	10	different	different	ADJ
easat-4570	34	11	concentrations	concentration	NOUN
easat-4570	34	12	is	be	AUX
easat-4570	34	13	often	often	ADV
easat-4570	34	14	exhibited	exhibit	VERB
easat-4570	34	15	in	in	ADP
easat-4570	34	16	electrochemistry	electrochemistry	NOUN
easat-4570	34	17	-	-	PUNCT
easat-4570	34	18	based	base	VERB
easat-4570	34	19	measurements	measurement	NOUN
easat-4570	34	20	such	such	ADJ
easat-4570	34	21	as	as	ADP
easat-4570	34	22	impedance	impedance	NOUN
easat-4570	34	23	and	and	CCONJ
easat-4570	34	24	chronoamperometric	chronoamperometric	ADJ
easat-4570	34	25	measurements	measurement	NOUN
easat-4570	34	26	[	[	X
easat-4570	34	27	17	17	NUM
easat-4570	34	28	]	]	PUNCT
easat-4570	34	29	.	.	PUNCT
easat-4570	35	1	the	the	DET
easat-4570	35	2	need	need	NOUN
easat-4570	35	3	to	to	PART
easat-4570	35	4	conduct	conduct	VERB
easat-4570	35	5	measurements	measurement	NOUN
easat-4570	35	6	that	that	PRON
easat-4570	35	7	are	be	AUX
easat-4570	35	8	affected	affect	VERB
easat-4570	35	9	by	by	ADP
easat-4570	35	10	free	free	ADJ
easat-4570	35	11	charges	charge	NOUN
easat-4570	35	12	or	or	CCONJ
easat-4570	35	13	ions	ion	NOUN
easat-4570	35	14	means	mean	VERB
easat-4570	35	15	that	that	SCONJ
easat-4570	35	16	one	one	PRON
easat-4570	35	17	can	can	AUX
easat-4570	35	18	not	not	PART
easat-4570	35	19	use	use	VERB
easat-4570	35	20	staining	stain	VERB
easat-4570	35	21	for	for	ADP
easat-4570	35	22	contrast	contrast	NOUN
easat-4570	35	23	enhancement	enhancement	NOUN
easat-4570	35	24	thus	thus	ADV
easat-4570	35	25	limiting	limit	VERB
easat-4570	35	26	the	the	DET
easat-4570	35	27	contrast	contrast	NOUN
easat-4570	35	28	.	.	PUNCT
easat-4570	36	1	at	at	ADP
easat-4570	36	2	the	the	DET
easat-4570	36	3	same	same	ADJ
easat-4570	36	4	time	time	NOUN
easat-4570	36	5	the	the	DET
easat-4570	36	6	cells	cell	NOUN
easat-4570	36	7	reside	reside	VERB
easat-4570	36	8	in	in	ADP
easat-4570	36	9	hydrogels	hydrogel	NOUN
easat-4570	36	10	that	that	PRON
easat-4570	36	11	mimic	mimic	ADJ
easat-4570	36	12	tissue	tissue	NOUN
easat-4570	36	13	behaviour	behaviour	NOUN
easat-4570	36	14	and	and	CCONJ
easat-4570	36	15	whose	whose	DET
easat-4570	36	16	index	index	NOUN
easat-4570	36	17	of	of	ADP
easat-4570	36	18	refraction	refraction	NOUN
easat-4570	36	19	varies	vary	VERB
easat-4570	36	20	depending	depend	VERB
easat-4570	36	21	on	on	ADP
easat-4570	36	22	their	their	PRON
easat-4570	36	23	relative	relative	ADJ
easat-4570	36	24	hydration	hydration	NOUN
easat-4570	36	25	level	level	NOUN
easat-4570	36	26	.	.	PUNCT
easat-4570	37	1	the	the	DET
easat-4570	37	2	spatial	spatial	ADJ
easat-4570	37	3	variation	variation	NOUN
easat-4570	37	4	of	of	ADP
easat-4570	37	5	the	the	DET
easat-4570	37	6	index	index	NOUN
easat-4570	37	7	of	of	ADP
easat-4570	37	8	refraction	refraction	NOUN
easat-4570	37	9	often	often	ADV
easat-4570	37	10	results	result	VERB
easat-4570	37	11	in	in	ADP
easat-4570	37	12	images	image	NOUN
easat-4570	37	13	that	that	PRON
easat-4570	37	14	mimic	mimic	ADJ
easat-4570	37	15	speckle	speckle	NOUN
easat-4570	37	16	patterns	pattern	NOUN
easat-4570	37	17	.	.	PUNCT
easat-4570	38	1	further	further	ADJ
easat-4570	38	2	details	detail	NOUN
easat-4570	38	3	on	on	ADP
easat-4570	38	4	the	the	DET
easat-4570	38	5	challenges	challenge	NOUN
easat-4570	38	6	of	of	ADP
easat-4570	38	7	microscopy	microscopy	NOUN
easat-4570	38	8	in	in	ADP
easat-4570	38	9	these	these	DET
easat-4570	38	10	settings	setting	NOUN
easat-4570	38	11	are	be	AUX
easat-4570	38	12	provided	provide	VERB
easat-4570	38	13	in	in	ADP
easat-4570	38	14	uka	uka	PROPN
easat-4570	38	15	,	,	PUNCT
easat-4570	38	16	et	et	PROPN
easat-4570	38	17	al	al	PROPN
easat-4570	38	18	.	.	PUNCT
easat-4570	39	1	[	[	X
easat-4570	39	2	18	18	NUM
easat-4570	39	3	]	]	PUNCT
easat-4570	39	4	.	.	PUNCT
easat-4570	40	1	these	these	DET
easat-4570	40	2	limitations	limitation	NOUN
easat-4570	40	3	in	in	ADP
easat-4570	40	4	microscopy	microscopy	NOUN
easat-4570	40	5	can	can	AUX
easat-4570	40	6	be	be	AUX
easat-4570	40	7	overcome	overcome	VERB
easat-4570	40	8	by	by	ADP
easat-4570	40	9	employing	employ	VERB
easat-4570	40	10	:	:	PUNCT
easat-4570	40	11	i	i	NOUN
easat-4570	40	12	)	)	PUNCT
easat-4570	40	13	hardware	hardware	NOUN
easat-4570	40	14	-	-	PUNCT
easat-4570	40	15	based	base	VERB
easat-4570	40	16	methods	method	NOUN
easat-4570	40	17	such	such	ADJ
easat-4570	40	18	as	as	ADP
easat-4570	40	19	using	use	VERB
easat-4570	40	20	incoherent	incoherent	ADJ
easat-4570	40	21	light	light	NOUN
easat-4570	40	22	,	,	PUNCT
easat-4570	40	23	rotating	rotate	VERB
easat-4570	40	24	diffusers	diffuser	NOUN
easat-4570	40	25	[	[	X
easat-4570	40	26	19	19	NUM
easat-4570	40	27	]	]	PUNCT
easat-4570	40	28	;	;	PUNCT
easat-4570	40	29	ii	ii	X
easat-4570	40	30	)	)	PUNCT
easat-4570	40	31	software	software	NOUN
easat-4570	40	32	-	-	PUNCT
easat-4570	40	33	based	base	VERB
easat-4570	40	34	methods	method	NOUN
easat-4570	40	35	including	include	VERB
easat-4570	40	36	wavelet	wavelet	NOUN
easat-4570	40	37	transform	transform	NOUN
easat-4570	40	38	denoising	denoise	VERB
easat-4570	40	39	[	[	X
easat-4570	40	40	20	20	NUM
easat-4570	40	41	]	]	X
easat-4570	40	42	gaussian	gaussian	ADJ
easat-4570	40	43	filters	filter	NOUN
easat-4570	40	44	;	;	PUNCT
easat-4570	40	45	iii	iii	X
easat-4570	40	46	)	)	PUNCT
easat-4570	40	47	hybrid	hybrid	ADJ
easat-4570	40	48	methods	method	NOUN
easat-4570	40	49	by	by	ADP
easat-4570	40	50	combining	combine	VERB
easat-4570	40	51	hardware	hardware	NOUN
easat-4570	40	52	and	and	CCONJ
easat-4570	40	53	software	software	NOUN
easat-4570	40	54	methods	method	NOUN
easat-4570	40	55	and	and	CCONJ
easat-4570	40	56	iv	iv	X
easat-4570	40	57	)	)	PUNCT
easat-4570	40	58	image	image	NOUN
easat-4570	40	59	reconstruction	reconstruction	NOUN
easat-4570	40	60	algorithms	algorithm	NOUN
easat-4570	40	61	[	[	X
easat-4570	40	62	21	21	NUM
easat-4570	40	63	]	]	PUNCT
easat-4570	40	64	.	.	PUNCT
easat-4570	41	1	in	in	ADP
easat-4570	41	2	the	the	DET
easat-4570	41	3	case	case	NOUN
easat-4570	41	4	of	of	ADP
easat-4570	41	5	selecting	select	VERB
easat-4570	41	6	a	a	DET
easat-4570	41	7	biomaterial	biomaterial	NOUN
easat-4570	41	8	for	for	ADP
easat-4570	41	9	an	an	DET
easat-4570	41	10	implant	implant	NOUN
easat-4570	41	11	,	,	PUNCT
easat-4570	41	12	medical	medical	ADJ
easat-4570	41	13	practitioners	practitioner	NOUN
easat-4570	41	14	need	need	VERB
easat-4570	41	15	to	to	PART
easat-4570	41	16	test	test	VERB
easat-4570	41	17	a	a	DET
easat-4570	41	18	few	few	ADJ
easat-4570	41	19	samples	sample	NOUN
easat-4570	41	20	(	(	PUNCT
easat-4570	41	21	blood	blood	NOUN
easat-4570	41	22	,	,	PUNCT
easat-4570	41	23	saliva	saliva	NOUN
easat-4570	41	24	,	,	PUNCT
easat-4570	41	25	different	different	ADJ
easat-4570	41	26	cell	cell	NOUN
easat-4570	41	27	types	type	NOUN
easat-4570	41	28	etc	etc	X
easat-4570	41	29	)	)	PUNCT
easat-4570	41	30	from	from	ADP
easat-4570	41	31	a	a	DET
easat-4570	41	32	patient	patient	NOUN
easat-4570	41	33	in	in	ADP
easat-4570	41	34	contact	contact	NOUN
easat-4570	41	35	with	with	ADP
easat-4570	41	36	different	different	ADJ
easat-4570	41	37	biomaterials	biomaterial	NOUN
easat-4570	41	38	at	at	ADP
easat-4570	41	39	different	different	ADJ
easat-4570	41	40	concentrations	concentration	NOUN
easat-4570	41	41	.	.	PUNCT
easat-4570	42	1	the	the	DET
easat-4570	42	2	microscope	microscope	NOUN
easat-4570	42	3	images	image	NOUN
easat-4570	42	4	need	need	VERB
easat-4570	42	5	to	to	PART
easat-4570	42	6	undergo	undergo	VERB
easat-4570	42	7	both	both	DET
easat-4570	42	8	qualitative	qualitative	ADJ
easat-4570	42	9	(	(	PUNCT
easat-4570	42	10	classification	classification	NOUN
easat-4570	42	11	)	)	PUNCT
easat-4570	42	12	and	and	CCONJ
easat-4570	42	13	quantitative	quantitative	ADJ
easat-4570	42	14	(	(	PUNCT
easat-4570	42	15	area	area	NOUN
easat-4570	42	16	of	of	ADP
easat-4570	42	17	cells	cell	NOUN
easat-4570	42	18	,	,	PUNCT
easat-4570	42	19	perimeter	perimeter	NOUN
easat-4570	42	20	of	of	ADP
easat-4570	42	21	cells	cell	NOUN
easat-4570	42	22	,	,	PUNCT
easat-4570	42	23	cell	cell	NOUN
easat-4570	42	24	counting	counting	NOUN
easat-4570	42	25	etc	etc	X
easat-4570	42	26	)	)	PUNCT
easat-4570	42	27	evaluation	evaluation	NOUN
easat-4570	42	28	[	[	X
easat-4570	42	29	8	8	NUM
easat-4570	42	30	,	,	PUNCT
easat-4570	42	31	22	22	NUM
easat-4570	42	32	-	-	SYM
easat-4570	42	33	24	24	NUM
easat-4570	42	34	]	]	PUNCT
easat-4570	42	35	and	and	CCONJ
easat-4570	42	36	these	these	DET
easat-4570	42	37	results	result	NOUN
easat-4570	42	38	help	help	VERB
easat-4570	42	39	deduce	deduce	VERB
easat-4570	42	40	the	the	DET
easat-4570	42	41	toxicity	toxicity	NOUN
easat-4570	42	42	of	of	ADP
easat-4570	42	43	a	a	DET
easat-4570	42	44	biomaterial	biomaterial	NOUN
easat-4570	42	45	[	[	X
easat-4570	42	46	18	18	NUM
easat-4570	42	47	]	]	PUNCT
easat-4570	42	48	.	.	PUNCT
easat-4570	43	1	all	all	DET
easat-4570	43	2	the	the	DET
easat-4570	43	3	insights	insight	NOUN
easat-4570	43	4	that	that	PRON
easat-4570	43	5	we	we	PRON
easat-4570	43	6	learn	learn	VERB
easat-4570	43	7	are	be	AUX
easat-4570	43	8	focused	focus	VERB
easat-4570	43	9	particularly	particularly	ADV
easat-4570	43	10	in	in	ADP
easat-4570	43	11	assessing	assess	VERB
easat-4570	43	12	biomaterial	biomaterial	ADJ
easat-4570	43	13	toxicity	toxicity	NOUN
easat-4570	43	14	level	level	NOUN
easat-4570	43	15	by	by	ADP
easat-4570	43	16	studying	study	VERB
easat-4570	43	17	changes	change	NOUN
easat-4570	43	18	in	in	ADP
easat-4570	43	19	the	the	DET
easat-4570	43	20	morphological	morphological	ADJ
easat-4570	43	21	features	feature	NOUN
easat-4570	43	22	of	of	ADP
easat-4570	43	23	different	different	ADJ
easat-4570	43	24	immune	immune	ADJ
easat-4570	43	25	cells	cell	NOUN
easat-4570	43	26	.	.	PUNCT
easat-4570	44	1	analyzing	analyze	VERB
easat-4570	44	2	the	the	DET
easat-4570	44	3	changes	change	NOUN
easat-4570	44	4	in	in	ADP
easat-4570	44	5	the	the	DET
easat-4570	44	6	morphological	morphological	ADJ
easat-4570	44	7	features	feature	NOUN
easat-4570	44	8	of	of	ADP
easat-4570	44	9	same	same	ADJ
easat-4570	44	10	cells	cell	NOUN
easat-4570	44	11	constitutes	constitute	VERB
easat-4570	44	12	an	an	DET
easat-4570	44	13	intraclass	intraclass	NOUN
easat-4570	44	14	cell	cell	NOUN
easat-4570	44	15	classification	classification	NOUN
easat-4570	44	16	task	task	NOUN
easat-4570	44	17	,	,	PUNCT
easat-4570	44	18	i.e.	i.e.	X
easat-4570	44	19	evaluating	evaluate	VERB
easat-4570	44	20	fine	fine	NOUN
easat-4570	44	21	grained	grain	VERB
easat-4570	44	22	to	to	ADP
easat-4570	44	23	extreme	extreme	ADJ
easat-4570	44	24	differences	difference	NOUN
easat-4570	44	25	on	on	ADP
easat-4570	44	26	the	the	DET
easat-4570	44	27	components	component	NOUN
easat-4570	44	28	of	of	ADP
easat-4570	44	29	a	a	DET
easat-4570	44	30	cell	cell	NOUN
easat-4570	44	31	such	such	ADJ
easat-4570	44	32	as	as	ADP
easat-4570	44	33	the	the	DET
easat-4570	44	34	cytoplasm	cytoplasm	NOUN
easat-4570	44	35	.	.	PUNCT
easat-4570	45	1	all	all	DET
easat-4570	45	2	the	the	DET
easat-4570	45	3	images	image	NOUN
easat-4570	45	4	that	that	PRON
easat-4570	45	5	are	be	AUX
easat-4570	45	6	acquired	acquire	VERB
easat-4570	45	7	using	use	VERB
easat-4570	45	8	brightfield	brightfield	NOUN
easat-4570	45	9	microscopy	microscopy	NOUN
easat-4570	45	10	in	in	ADP
easat-4570	45	11	the	the	DET
easat-4570	45	12	microfluidic	microfluidic	ADJ
easat-4570	45	13	chamber	chamber	NOUN
easat-4570	45	14	settings	setting	NOUN
easat-4570	45	15	including	include	VERB
easat-4570	45	16	different	different	ADJ
easat-4570	45	17	cell	cell	NOUN
easat-4570	45	18	types	type	NOUN
easat-4570	45	19	have	have	VERB
easat-4570	45	20	common	common	ADJ
easat-4570	45	21	features	feature	NOUN
easat-4570	45	22	including	include	VERB
easat-4570	45	23	illumination	illumination	NOUN
easat-4570	45	24	,	,	PUNCT
easat-4570	45	25	texture	texture	NOUN
easat-4570	45	26	,	,	PUNCT
easat-4570	45	27	dimensionality	dimensionality	NOUN
easat-4570	45	28	,	,	PUNCT
easat-4570	45	29	and	and	CCONJ
easat-4570	45	30	noise	noise	NOUN
easat-4570	45	31	spectrum	spectrum	NOUN
easat-4570	45	32	.	.	PUNCT
easat-4570	46	1	interclass	interclass	NOUN
easat-4570	46	2	cell	cell	NOUN
easat-4570	46	3	image	image	NOUN
easat-4570	46	4	classification	classification	NOUN
easat-4570	46	5	would	would	AUX
easat-4570	46	6	require	require	VERB
easat-4570	46	7	the	the	DET
easat-4570	46	8	identification	identification	NOUN
easat-4570	46	9	of	of	ADP
easat-4570	46	10	slightly	slightly	ADV
easat-4570	46	11	high	high	ADJ
easat-4570	46	12	differences	difference	NOUN
easat-4570	46	13	in	in	ADP
easat-4570	46	14	the	the	DET
easat-4570	46	15	images	image	NOUN
easat-4570	46	16	[	[	X
easat-4570	46	17	25	25	NUM
easat-4570	46	18	,	,	PUNCT
easat-4570	46	19	26	26	NUM
easat-4570	46	20	]	]	PUNCT
easat-4570	46	21	.	.	PUNCT
easat-4570	47	1	overall	overall	ADV
easat-4570	47	2	,	,	PUNCT
easat-4570	47	3	the	the	DET
easat-4570	47	4	intraclass	intraclass	NOUN
easat-4570	47	5	and	and	CCONJ
easat-4570	47	6	interclass	interclass	VERB
easat-4570	47	7	brightfield	brightfield	NOUN
easat-4570	47	8	cell	cell	NOUN
easat-4570	47	9	image	image	NOUN
easat-4570	47	10	classification	classification	NOUN
easat-4570	47	11	constitutes	constitute	VERB
easat-4570	47	12	an	an	DET
easat-4570	47	13	excellent	excellent	ADJ
easat-4570	47	14	and	and	CCONJ
easat-4570	47	15	robust	robust	ADJ
easat-4570	47	16	platform	platform	NOUN
easat-4570	47	17	for	for	ADP
easat-4570	47	18	benchmarking	benchmarke	VERB
easat-4570	47	19	the	the	DET
easat-4570	47	20	performance	performance	NOUN
easat-4570	47	21	of	of	ADP
easat-4570	47	22	deep	deep	ADJ
easat-4570	47	23	learning	learning	NOUN
easat-4570	47	24	models	model	NOUN
easat-4570	47	25	.	.	PUNCT
easat-4570	48	1	the	the	DET
easat-4570	48	2	techniques	technique	NOUN
easat-4570	48	3	may	may	AUX
easat-4570	48	4	include	include	VERB
easat-4570	48	5	both	both	PRON
easat-4570	48	6	supervised	supervise	VERB
easat-4570	48	7	[	[	X
easat-4570	48	8	15	15	NUM
easat-4570	48	9	,	,	PUNCT
easat-4570	48	10	27	27	NUM
easat-4570	48	11	]	]	PUNCT
easat-4570	48	12	and	and	CCONJ
easat-4570	48	13	unsupervised	unsupervised	ADJ
easat-4570	48	14	methods	method	NOUN
easat-4570	48	15	[	[	X
easat-4570	48	16	28	28	NUM
easat-4570	48	17	,	,	PUNCT
easat-4570	48	18	29	29	NUM
easat-4570	48	19	]	]	PUNCT
easat-4570	48	20	.	.	PUNCT
easat-4570	49	1	this	this	DET
easat-4570	49	2	study	study	NOUN
easat-4570	49	3	focuses	focus	VERB
easat-4570	49	4	on	on	ADP
easat-4570	49	5	classification	classification	NOUN
easat-4570	49	6	of	of	ADP
easat-4570	49	7	unstained	unstained	ADJ
easat-4570	49	8	images	image	NOUN
easat-4570	49	9	of	of	ADP
easat-4570	49	10	three	three	NUM
easat-4570	49	11	distinct	distinct	ADJ
easat-4570	49	12	cell	cell	NOUN
easat-4570	49	13	lines	line	NOUN
easat-4570	49	14	:	:	PUNCT
easat-4570	49	15	a549	a549	PROPN
easat-4570	49	16	(	(	PUNCT
easat-4570	49	17	human	human	ADJ
easat-4570	49	18	lung	lung	NOUN
easat-4570	49	19	carcinoma	carcinoma	NOUN
easat-4570	49	20	)	)	PUNCT
easat-4570	49	21	,	,	PUNCT
easat-4570	49	22	balb	balb	VERB
easat-4570	49	23	3t3	3t3	NUM
easat-4570	49	24	(	(	PUNCT
easat-4570	49	25	fibroblast	fibroblast	ADJ
easat-4570	49	26	)	)	PUNCT
easat-4570	49	27	and	and	CCONJ
easat-4570	49	28	thp1	thp1	NOUN
easat-4570	49	29	(	(	PUNCT
easat-4570	49	30	monocyte	monocyte	NOUN
easat-4570	49	31	)	)	PUNCT
easat-4570	49	32	prior	prior	ADV
easat-4570	49	33	to	to	ADP
easat-4570	49	34	their	their	PRON
easat-4570	49	35	exposure	exposure	NOUN
easat-4570	49	36	to	to	ADP
easat-4570	49	37	the	the	DET
easat-4570	49	38	biomaterials	biomaterial	NOUN
easat-4570	49	39	.	.	PUNCT
easat-4570	50	1	the	the	DET
easat-4570	50	2	cell	cell	NOUN
easat-4570	50	3	images	image	NOUN
easat-4570	50	4	are	be	AUX
easat-4570	50	5	acquired	acquire	VERB
easat-4570	50	6	by	by	ADP
easat-4570	50	7	dr	dr	PROPN
easat-4570	50	8	.	.	PROPN
easat-4570	50	9	vrana	vrana	PROPN
easat-4570	50	10	’s	’s	PART
easat-4570	50	11	group	group	NOUN
easat-4570	50	12	(	(	PUNCT
easat-4570	50	13	a	a	DET
easat-4570	50	14	co	co	NOUN
easat-4570	50	15	-	-	NOUN
easat-4570	50	16	author	author	NOUN
easat-4570	50	17	of	of	ADP
easat-4570	50	18	this	this	DET
easat-4570	50	19	study	study	NOUN
easat-4570	50	20	)	)	PUNCT
easat-4570	50	21	using	use	VERB
easat-4570	50	22	a	a	DET
easat-4570	50	23	brightfield	brightfield	NOUN
easat-4570	50	24	microscope	microscope	NOUN
easat-4570	50	25	,	,	PUNCT
easat-4570	50	26	which	which	PRON
easat-4570	50	27	has	have	VERB
easat-4570	50	28	a	a	DET
easat-4570	50	29	lower	low	ADJ
easat-4570	50	30	resolution	resolution	NOUN
easat-4570	50	31	and	and	CCONJ
easat-4570	50	32	contrast	contrast	NOUN
easat-4570	50	33	compared	compare	VERB
easat-4570	50	34	to	to	ADP
easat-4570	50	35	advanced	advanced	ADJ
easat-4570	50	36	imaging	imaging	NOUN
easat-4570	50	37	systems	system	NOUN
easat-4570	50	38	.	.	PUNCT
easat-4570	51	1	inception	inception	PROPN
easat-4570	51	2	v3	v3	PROPN
easat-4570	51	3	,	,	PUNCT
easat-4570	51	4	squeezenet	squeezenet	NOUN
easat-4570	51	5	and	and	CCONJ
easat-4570	51	6	vgg	vgg	NOUN
easat-4570	51	7	16	16	NUM
easat-4570	51	8	,	,	PUNCT
easat-4570	51	9	all	all	PRON
easat-4570	51	10	pre	pre	ADJ
easat-4570	51	11	-	-	VERB
easat-4570	51	12	trained	train	VERB
easat-4570	51	13	using	use	VERB
easat-4570	51	14	the	the	DET
easat-4570	51	15	imagenet	imagenet	NOUN
easat-4570	51	16	dataset	dataset	VERB
easat-4570	51	17	for	for	ADP
easat-4570	51	18	object	object	NOUN
easat-4570	51	19	detectetion	detectetion	NOUN
easat-4570	51	20	,	,	PUNCT
easat-4570	51	21	are	be	AUX
easat-4570	51	22	the	the	DET
easat-4570	51	23	selected	select	VERB
easat-4570	51	24	architectures	architecture	NOUN
easat-4570	51	25	to	to	PART
easat-4570	51	26	extract	extract	VERB
easat-4570	51	27	the	the	DET
easat-4570	51	28	image	image	NOUN
easat-4570	51	29	features	feature	VERB
easat-4570	51	30	.	.	PUNCT
easat-4570	52	1	these	these	DET
easat-4570	52	2	three	three	NUM
easat-4570	52	3	architectures	architecture	NOUN
easat-4570	52	4	have	have	AUX
easat-4570	52	5	been	be	AUX
easat-4570	52	6	commonly	commonly	ADV
easat-4570	52	7	reported	report	VERB
easat-4570	52	8	in	in	ADP
easat-4570	52	9	the	the	DET
easat-4570	52	10	literature	literature	NOUN
easat-4570	52	11	and	and	CCONJ
easat-4570	52	12	their	their	PRON
easat-4570	52	13	selection	selection	NOUN
easat-4570	52	14	was	be	AUX
easat-4570	52	15	done	do	VERB
easat-4570	52	16	based	base	VERB
easat-4570	52	17	on	on	ADP
easat-4570	52	18	their	their	PRON
easat-4570	52	19	fast	fast	ADJ
easat-4570	52	20	and	and	CCONJ
easat-4570	52	21	accurate	accurate	ADJ
easat-4570	52	22	performance	performance	NOUN
easat-4570	52	23	in	in	ADP
easat-4570	52	24	this	this	DET
easat-4570	52	25	specific	specific	ADJ
easat-4570	52	26	dataset	dataset	NOUN
easat-4570	52	27	.	.	PUNCT
easat-4570	53	1	inception	inception	ADJ
easat-4570	53	2	v3	v3	PROPN
easat-4570	53	3	architecture	architecture	NOUN
easat-4570	53	4	extracts	extract	VERB
easat-4570	53	5	higher	high	ADJ
easat-4570	53	6	dimensional	dimensional	ADJ
easat-4570	53	7	features	feature	NOUN
easat-4570	53	8	by	by	ADP
easat-4570	53	9	684	684	NUM
easat-4570	53	10	edelweiss	edelweiss	PROPN
easat-4570	53	11	applied	apply	VERB
easat-4570	53	12	science	science	NOUN
easat-4570	53	13	and	and	CCONJ
easat-4570	53	14	technology	technology	NOUN
easat-4570	53	15	issn	issn	PROPN
easat-4570	53	16	:	:	PUNCT
easat-4570	53	17	2576	2576	NUM
easat-4570	53	18	-	-	SYM
easat-4570	53	19	8484	8484	NUM
easat-4570	53	20	vol	vol	NOUN
easat-4570	53	21	.	.	PROPN
easat-4570	54	1	9	9	NUM
easat-4570	54	2	,	,	PUNCT
easat-4570	54	3	no	no	INTJ
easat-4570	54	4	.	.	NOUN
easat-4570	54	5	2	2	NUM
easat-4570	54	6	:	:	PUNCT
easat-4570	54	7	682	682	NUM
easat-4570	54	8	-	-	SYM
easat-4570	54	9	707	707	NUM
easat-4570	54	10	,	,	PUNCT
easat-4570	54	11	2025	2025	NUM
easat-4570	54	12	doi	doi	NOUN
easat-4570	54	13	:	:	PUNCT
easat-4570	54	14	10.55214/25768484.v9i2.4570	10.55214/25768484.v9i2.4570	NUM
easat-4570	54	15	©	©	PROPN
easat-4570	54	16	2025	2025	NUM
easat-4570	54	17	by	by	ADP
easat-4570	54	18	the	the	DET
easat-4570	54	19	authors	author	NOUN
easat-4570	54	20	;	;	PUNCT
easat-4570	54	21	licensee	licensee	NOUN
easat-4570	54	22	learning	learn	VERB
easat-4570	54	23	gate	gate	NOUN
easat-4570	54	24	balancing	balancing	NOUN
easat-4570	54	25	depth	depth	NOUN
easat-4570	54	26	and	and	CCONJ
easat-4570	54	27	computational	computational	ADJ
easat-4570	54	28	cost	cost	NOUN
easat-4570	54	29	of	of	ADP
easat-4570	54	30	different	different	ADJ
easat-4570	54	31	size	size	NOUN
easat-4570	54	32	filter	filter	NOUN
easat-4570	54	33	used	use	VERB
easat-4570	54	34	at	at	ADP
easat-4570	54	35	the	the	DET
easat-4570	54	36	same	same	ADJ
easat-4570	54	37	layer	layer	NOUN
easat-4570	54	38	szegedy	szegedy	NOUN
easat-4570	54	39	,	,	PUNCT
easat-4570	54	40	et	et	PROPN
easat-4570	54	41	al	al	PROPN
easat-4570	54	42	.	.	PUNCT
easat-4570	55	1	[	[	X
easat-4570	55	2	30	30	NUM
easat-4570	55	3	]	]	PUNCT
easat-4570	55	4	and	and	CCONJ
easat-4570	55	5	tamilarasi	tamilarasi	NOUN
easat-4570	55	6	and	and	CCONJ
easat-4570	55	7	gopinathan	gopinathan	PRON
easat-4570	56	1	[	[	X
easat-4570	56	2	31	31	NUM
easat-4570	56	3	]	]	PUNCT
easat-4570	56	4	.	.	PUNCT
easat-4570	57	1	wang	wang	PROPN
easat-4570	57	2	,	,	PUNCT
easat-4570	57	3	et	et	PROPN
easat-4570	57	4	al	al	PROPN
easat-4570	57	5	.	.	PUNCT
easat-4570	58	1	[	[	X
easat-4570	58	2	32	32	NUM
easat-4570	58	3	]	]	PUNCT
easat-4570	58	4	reported	report	VERB
easat-4570	58	5	a	a	DET
easat-4570	58	6	sensitivity	sensitivity	NOUN
easat-4570	58	7	of	of	ADP
easat-4570	58	8	95.41	95.41	NUM
easat-4570	58	9	%	%	NOUN
easat-4570	58	10	when	when	SCONJ
easat-4570	58	11	classifying	classify	VERB
easat-4570	58	12	pulmonary	pulmonary	ADJ
easat-4570	58	13	chest	chest	NOUN
easat-4570	58	14	x	x	NOUN
easat-4570	58	15	-	-	NOUN
easat-4570	58	16	ray	ray	NOUN
easat-4570	58	17	images	image	NOUN
easat-4570	58	18	.	.	PUNCT
easat-4570	59	1	squeezenet	squeezenet	NOUN
easat-4570	59	2	architecture	architecture	NOUN
easat-4570	59	3	can	can	AUX
easat-4570	59	4	achieve	achieve	VERB
easat-4570	59	5	a	a	DET
easat-4570	59	6	high	high	ADJ
easat-4570	59	7	image	image	NOUN
easat-4570	59	8	classification	classification	NOUN
easat-4570	59	9	accuracy	accuracy	NOUN
easat-4570	59	10	even	even	ADV
easat-4570	59	11	though	though	SCONJ
easat-4570	59	12	it	it	PRON
easat-4570	59	13	is	be	AUX
easat-4570	59	14	strongly	strongly	ADV
easat-4570	59	15	compressed	compressed	ADJ
easat-4570	59	16	and	and	CCONJ
easat-4570	59	17	uses	use	VERB
easat-4570	59	18	few	few	ADJ
easat-4570	59	19	parameters	parameter	NOUN
easat-4570	59	20	compared	compare	VERB
easat-4570	59	21	to	to	ADP
easat-4570	59	22	other	other	ADJ
easat-4570	59	23	architectures	architecture	NOUN
easat-4570	59	24	[	[	X
easat-4570	59	25	33	33	NUM
easat-4570	59	26	]	]	PUNCT
easat-4570	59	27	.	.	PUNCT
easat-4570	60	1	this	this	DET
easat-4570	60	2	architecture	architecture	NOUN
easat-4570	60	3	and	and	CCONJ
easat-4570	60	4	its	its	PRON
easat-4570	60	5	improved	improved	ADJ
easat-4570	60	6	versions	version	NOUN
easat-4570	60	7	have	have	AUX
easat-4570	60	8	achieved	achieve	VERB
easat-4570	60	9	ct	ct	NUM
easat-4570	60	10	scan	scan	ADJ
easat-4570	60	11	classification	classification	NOUN
easat-4570	60	12	accuracy	accuracy	NOUN
easat-4570	60	13	from	from	ADP
easat-4570	60	14	93.2%-95.8	93.2%-95.8	NUM
easat-4570	60	15	%	%	NOUN
easat-4570	60	16	[	[	X
easat-4570	60	17	34	34	NUM
easat-4570	60	18	]	]	PUNCT
easat-4570	60	19	.	.	PUNCT
easat-4570	61	1	vgg16	vgg16	NOUN
easat-4570	61	2	architecture	architecture	NOUN
easat-4570	61	3	is	be	AUX
easat-4570	61	4	a	a	DET
easat-4570	61	5	simple	simple	ADJ
easat-4570	61	6	16	16	NUM
easat-4570	61	7	layered	layered	ADJ
easat-4570	61	8	architectures	architecture	NOUN
easat-4570	61	9	that	that	PRON
easat-4570	61	10	uses	use	VERB
easat-4570	61	11	3x3	3x3	NUM
easat-4570	61	12	convolution	convolution	NOUN
easat-4570	61	13	kernels	kernel	NOUN
easat-4570	61	14	and	and	CCONJ
easat-4570	61	15	can	can	AUX
easat-4570	61	16	be	be	AUX
easat-4570	61	17	further	far	ADV
easat-4570	61	18	changed	change	VERB
easat-4570	61	19	to	to	PART
easat-4570	61	20	increase	increase	VERB
easat-4570	61	21	its	its	PRON
easat-4570	61	22	accuracy	accuracy	NOUN
easat-4570	61	23	[	[	X
easat-4570	61	24	35	35	NUM
easat-4570	61	25	]	]	PUNCT
easat-4570	61	26	.	.	PUNCT
easat-4570	62	1	then	then	ADV
easat-4570	62	2	,	,	PUNCT
easat-4570	62	3	the	the	DET
easat-4570	62	4	extracted	extract	VERB
easat-4570	62	5	features	feature	NOUN
easat-4570	62	6	are	be	AUX
easat-4570	62	7	classified	classify	VERB
easat-4570	62	8	using	use	VERB
easat-4570	62	9	various	various	ADJ
easat-4570	62	10	machine	machine	NOUN
easat-4570	62	11	learning	learn	VERB
easat-4570	62	12	algorithms	algorithm	NOUN
easat-4570	62	13	such	such	ADJ
easat-4570	62	14	as	as	ADP
easat-4570	62	15	:	:	PUNCT
easat-4570	62	16	k	k	PROPN
easat-4570	62	17	nearest	near	ADJ
easat-4570	62	18	neighbors	neighbor	NOUN
easat-4570	62	19	(	(	PUNCT
easat-4570	62	20	knn	knn	PROPN
easat-4570	62	21	)	)	PUNCT
easat-4570	62	22	,	,	PUNCT
easat-4570	62	23	decision	decision	NOUN
easat-4570	62	24	tree	tree	NOUN
easat-4570	62	25	,	,	PUNCT
easat-4570	62	26	random	random	ADJ
easat-4570	62	27	forest	forest	NOUN
easat-4570	62	28	,	,	PUNCT
easat-4570	62	29	adaboost	adaboost	ADV
easat-4570	62	30	,	,	PUNCT
easat-4570	62	31	simple	simple	ADJ
easat-4570	62	32	neural	neural	ADJ
easat-4570	62	33	network	network	NOUN
easat-4570	62	34	and	and	CCONJ
easat-4570	62	35	naïve	naïve	ADJ
easat-4570	62	36	bayes	baye	NOUN
easat-4570	62	37	.	.	PUNCT
easat-4570	63	1	research	research	NOUN
easat-4570	63	2	shows	show	VERB
easat-4570	63	3	that	that	SCONJ
easat-4570	63	4	the	the	DET
easat-4570	63	5	neural	neural	ADJ
easat-4570	63	6	networks	network	NOUN
easat-4570	63	7	classifiers	classifier	NOUN
easat-4570	63	8	have	have	VERB
easat-4570	63	9	a	a	DET
easat-4570	63	10	better	well	ADJ
easat-4570	63	11	performance	performance	NOUN
easat-4570	63	12	compared	compare	VERB
easat-4570	63	13	to	to	ADP
easat-4570	63	14	other	other	ADJ
easat-4570	63	15	models	model	NOUN
easat-4570	63	16	[	[	X
easat-4570	63	17	36	36	NUM
easat-4570	63	18	]	]	PUNCT
easat-4570	63	19	.	.	PUNCT
easat-4570	64	1	in	in	ADP
easat-4570	64	2	order	order	NOUN
easat-4570	64	3	to	to	PART
easat-4570	64	4	reduce	reduce	VERB
easat-4570	64	5	the	the	DET
easat-4570	64	6	complexity	complexity	NOUN
easat-4570	64	7	and	and	CCONJ
easat-4570	64	8	lower	low	ADJ
easat-4570	64	9	the	the	DET
easat-4570	64	10	number	number	NOUN
easat-4570	64	11	of	of	ADP
easat-4570	64	12	features	feature	NOUN
easat-4570	64	13	,	,	PUNCT
easat-4570	64	14	several	several	ADJ
easat-4570	64	15	methods	method	NOUN
easat-4570	64	16	can	can	AUX
easat-4570	64	17	be	be	AUX
easat-4570	64	18	used	use	VERB
easat-4570	64	19	such	such	ADJ
easat-4570	64	20	as	as	ADP
easat-4570	64	21	principal	principal	ADJ
easat-4570	64	22	components	component	NOUN
easat-4570	64	23	analysis	analysis	NOUN
easat-4570	64	24	(	(	PUNCT
easat-4570	64	25	pca	pca	NOUN
easat-4570	64	26	)	)	PUNCT
easat-4570	64	27	,	,	PUNCT
easat-4570	64	28	information	information	NOUN
easat-4570	64	29	gain	gain	NOUN
easat-4570	64	30	,	,	PUNCT
easat-4570	64	31	combination	combination	NOUN
easat-4570	64	32	of	of	ADP
easat-4570	64	33	botha	botha	PROPN
easat-4570	64	34	hybrid	hybrid	ADJ
easat-4570	64	35	form	form	NOUN
easat-4570	64	36	[	[	X
easat-4570	64	37	37	37	NUM
easat-4570	64	38	-	-	SYM
easat-4570	64	39	39	39	NUM
easat-4570	64	40	]	]	PUNCT
easat-4570	64	41	.	.	PUNCT
easat-4570	65	1	the	the	DET
easat-4570	65	2	efficiency	efficiency	NOUN
easat-4570	65	3	and	and	CCONJ
easat-4570	65	4	the	the	DET
easat-4570	65	5	performance	performance	NOUN
easat-4570	65	6	of	of	ADP
easat-4570	65	7	the	the	DET
easat-4570	65	8	model	model	NOUN
easat-4570	65	9	is	be	AUX
easat-4570	65	10	evaluated	evaluate	VERB
easat-4570	65	11	when	when	SCONJ
easat-4570	65	12	:	:	PUNCT
easat-4570	65	13	a	a	X
easat-4570	65	14	)	)	PUNCT
easat-4570	65	15	all	all	PRON
easat-4570	65	16	extracted	extract	VERB
easat-4570	65	17	features	feature	NOUN
easat-4570	65	18	are	be	AUX
easat-4570	65	19	and	and	CCONJ
easat-4570	65	20	b	b	X
easat-4570	65	21	)	)	PUNCT
easat-4570	65	22	10	10	NUM
easat-4570	65	23	most	most	ADV
easat-4570	65	24	important	important	ADJ
easat-4570	65	25	features	feature	NOUN
easat-4570	65	26	are	be	AUX
easat-4570	65	27	selected	select	VERB
easat-4570	65	28	through	through	ADP
easat-4570	65	29	information	information	NOUN
easat-4570	65	30	gain	gain	NOUN
easat-4570	65	31	.	.	PUNCT
easat-4570	66	1	[	[	X
easat-4570	66	2	40	40	NUM
easat-4570	66	3	]	]	PUNCT
easat-4570	66	4	.	.	PUNCT
easat-4570	67	1	during	during	ADP
easat-4570	67	2	the	the	DET
easat-4570	67	3	evaluation	evaluation	NOUN
easat-4570	67	4	process	process	NOUN
easat-4570	67	5	different	different	ADJ
easat-4570	67	6	metrics	metric	NOUN
easat-4570	67	7	such	such	ADJ
easat-4570	67	8	precision	precision	NOUN
easat-4570	67	9	,	,	PUNCT
easat-4570	67	10	recall	recall	NOUN
easat-4570	67	11	,	,	PUNCT
easat-4570	67	12	f1	f1	NOUN
easat-4570	67	13	score	score	NOUN
easat-4570	67	14	,	,	PUNCT
easat-4570	67	15	accuracy	accuracy	NOUN
easat-4570	67	16	etc	etc	X
easat-4570	67	17	.	.	X
easat-4570	67	18	are	be	AUX
easat-4570	67	19	used	use	VERB
easat-4570	67	20	.	.	PUNCT
easat-4570	68	1	in	in	ADP
easat-4570	68	2	evaluating	evaluate	VERB
easat-4570	68	3	for	for	ADP
easat-4570	68	4	a	a	DET
easat-4570	68	5	robust	robust	ADJ
easat-4570	68	6	framework	framework	NOUN
easat-4570	68	7	for	for	ADP
easat-4570	68	8	cell	cell	NOUN
easat-4570	68	9	image	image	NOUN
easat-4570	68	10	classification	classification	NOUN
easat-4570	68	11	several	several	ADJ
easat-4570	68	12	filters	filter	NOUN
easat-4570	68	13	can	can	AUX
easat-4570	68	14	also	also	ADV
easat-4570	68	15	be	be	AUX
easat-4570	68	16	used	use	VERB
easat-4570	68	17	[	[	PUNCT
easat-4570	68	18	41	41	NUM
easat-4570	68	19	]	]	PUNCT
easat-4570	68	20	as	as	SCONJ
easat-4570	68	21	they	they	PRON
easat-4570	68	22	can	can	AUX
easat-4570	68	23	significantly	significantly	ADV
easat-4570	68	24	improve	improve	VERB
easat-4570	68	25	the	the	DET
easat-4570	68	26	quality	quality	NOUN
easat-4570	68	27	of	of	ADP
easat-4570	68	28	the	the	DET
easat-4570	68	29	features	feature	NOUN
easat-4570	68	30	by	by	ADP
easat-4570	68	31	providing	provide	VERB
easat-4570	68	32	a	a	DET
easat-4570	68	33	balance	balance	NOUN
easat-4570	68	34	between	between	ADP
easat-4570	68	35	noise	noise	NOUN
easat-4570	68	36	reduction	reduction	NOUN
easat-4570	68	37	and	and	CCONJ
easat-4570	68	38	feature	feature	NOUN
easat-4570	68	39	preservation	preservation	NOUN
easat-4570	68	40	.	.	PUNCT
easat-4570	69	1	the	the	DET
easat-4570	69	2	use	use	NOUN
easat-4570	69	3	of	of	ADP
easat-4570	69	4	the	the	DET
easat-4570	69	5	butterworth	butterworth	NOUN
easat-4570	69	6	filters	filter	VERB
easat-4570	69	7	with	with	ADP
easat-4570	69	8	the	the	DET
easat-4570	69	9	objective	objective	NOUN
easat-4570	69	10	of	of	ADP
easat-4570	69	11	improving	improve	VERB
easat-4570	69	12	classification	classification	NOUN
easat-4570	69	13	may	may	AUX
easat-4570	69	14	strongly	strongly	ADV
easat-4570	69	15	depend	depend	VERB
easat-4570	69	16	on	on	ADP
easat-4570	69	17	the	the	DET
easat-4570	69	18	dataset	dataset	NOUN
easat-4570	69	19	,	,	PUNCT
easat-4570	69	20	its	its	PRON
easat-4570	69	21	quality	quality	NOUN
easat-4570	69	22	,	,	PUNCT
easat-4570	69	23	texture	texture	NOUN
easat-4570	69	24	and	and	CCONJ
easat-4570	69	25	noise	noise	NOUN
easat-4570	69	26	spectrum	spectrum	NOUN
easat-4570	69	27	and	and	CCONJ
easat-4570	69	28	careful	careful	ADJ
easat-4570	69	29	analysis	analysis	NOUN
easat-4570	69	30	would	would	AUX
easat-4570	69	31	be	be	AUX
easat-4570	69	32	needed	need	VERB
easat-4570	69	33	in	in	ADP
easat-4570	69	34	our	our	PRON
easat-4570	69	35	cell	cell	NOUN
easat-4570	69	36	image	image	NOUN
easat-4570	69	37	dataset	dataset	NOUN
easat-4570	69	38	.	.	PUNCT
easat-4570	70	1	minoshima	minoshima	PROPN
easat-4570	70	2	,	,	PUNCT
easat-4570	70	3	et	et	PROPN
easat-4570	70	4	al	al	PROPN
easat-4570	70	5	.	.	PUNCT
easat-4570	71	1	[	[	X
easat-4570	71	2	42	42	NUM
easat-4570	71	3	]	]	PUNCT
easat-4570	71	4	have	have	AUX
easat-4570	71	5	optimized	optimize	VERB
easat-4570	71	6	the	the	DET
easat-4570	71	7	cut	cut	NOUN
easat-4570	71	8	off	off	ADP
easat-4570	71	9	frequencies	frequency	NOUN
easat-4570	71	10	of	of	ADP
easat-4570	71	11	the	the	DET
easat-4570	71	12	butterworth	butterworth	NOUN
easat-4570	71	13	filters	filter	NOUN
easat-4570	71	14	for	for	ADP
easat-4570	71	15	brain	brain	NOUN
easat-4570	71	16	images	image	NOUN
easat-4570	71	17	,	,	PUNCT
easat-4570	71	18	and	and	CCONJ
easat-4570	71	19	in	in	ADP
easat-4570	71	20	other	other	ADJ
easat-4570	71	21	works	work	NOUN
easat-4570	71	22	where	where	SCONJ
easat-4570	71	23	optimal	optimal	ADJ
easat-4570	71	24	combination	combination	NOUN
easat-4570	71	25	of	of	ADP
easat-4570	71	26	filters	filter	NOUN
easat-4570	71	27	including	include	VERB
easat-4570	71	28	butterworth	butterworth	NOUN
easat-4570	71	29	is	be	AUX
easat-4570	71	30	reported	report	VERB
easat-4570	71	31	[	[	X
easat-4570	71	32	43	43	NUM
easat-4570	71	33	]	]	PUNCT
easat-4570	71	34	.	.	PUNCT
easat-4570	72	1	this	this	DET
easat-4570	72	2	work	work	NOUN
easat-4570	72	3	aims	aim	VERB
easat-4570	72	4	to	to	PART
easat-4570	72	5	find	find	VERB
easat-4570	72	6	a	a	DET
easat-4570	72	7	robust	robust	ADJ
easat-4570	72	8	method	method	NOUN
easat-4570	72	9	that	that	PRON
easat-4570	72	10	is	be	AUX
easat-4570	72	11	fast	fast	ADJ
easat-4570	72	12	and	and	CCONJ
easat-4570	72	13	accurate	accurate	ADJ
easat-4570	72	14	that	that	PRON
easat-4570	72	15	can	can	AUX
easat-4570	72	16	be	be	AUX
easat-4570	72	17	easily	easily	ADV
easat-4570	72	18	implemented	implement	VERB
easat-4570	72	19	in	in	ADP
easat-4570	72	20	the	the	DET
easat-4570	72	21	future	future	NOUN
easat-4570	72	22	in	in	ADP
easat-4570	72	23	a	a	DET
easat-4570	72	24	low	low	ADJ
easat-4570	72	25	-	-	PUNCT
easat-4570	72	26	cost	cost	NOUN
easat-4570	72	27	,	,	PUNCT
easat-4570	72	28	portable	portable	ADJ
easat-4570	72	29	biomaterial	biomaterial	ADJ
easat-4570	72	30	personalized	personalized	ADJ
easat-4570	72	31	testing	testing	NOUN
easat-4570	72	32	device	device	NOUN
easat-4570	72	33	.	.	PUNCT
easat-4570	73	1	after	after	ADP
easat-4570	73	2	analyzing	analyze	VERB
easat-4570	73	3	the	the	DET
easat-4570	73	4	optimal	optimal	ADJ
easat-4570	73	5	architecture	architecture	NOUN
easat-4570	73	6	-	-	PUNCT
easat-4570	73	7	classifier	classifier	NOUN
easat-4570	73	8	combination	combination	NOUN
easat-4570	73	9	we	we	PRON
easat-4570	73	10	evaluate	evaluate	VERB
easat-4570	73	11	the	the	DET
easat-4570	73	12	effect	effect	NOUN
easat-4570	73	13	of	of	ADP
easat-4570	73	14	the	the	DET
easat-4570	73	15	butterworth	butterworth	NOUN
easat-4570	73	16	filters	filter	VERB
easat-4570	73	17	with	with	ADP
easat-4570	73	18	different	different	ADJ
easat-4570	73	19	parameters	parameter	NOUN
easat-4570	73	20	in	in	ADP
easat-4570	73	21	the	the	DET
easat-4570	73	22	image	image	NOUN
easat-4570	73	23	classification	classification	NOUN
easat-4570	73	24	.	.	PUNCT
easat-4570	74	1	2	2	X
easat-4570	74	2	.	.	X
easat-4570	74	3	materials	material	NOUN
easat-4570	74	4	2.1	2.1	NUM
easat-4570	74	5	.	.	PUNCT
easat-4570	75	1	image	image	NOUN
easat-4570	75	2	features	feature	VERB
easat-4570	75	3	the	the	DET
easat-4570	75	4	classification	classification	NOUN
easat-4570	75	5	is	be	AUX
easat-4570	75	6	done	do	VERB
easat-4570	75	7	on	on	ADP
easat-4570	75	8	three	three	NUM
easat-4570	75	9	different	different	ADJ
easat-4570	75	10	cell	cell	NOUN
easat-4570	75	11	image	image	NOUN
easat-4570	75	12	datasets	dataset	NOUN
easat-4570	75	13	.	.	PUNCT
easat-4570	76	1	a549	a549	PROPN
easat-4570	76	2	,	,	PUNCT
easat-4570	76	3	balb	balb	VERB
easat-4570	76	4	3t3	3t3	NUM
easat-4570	76	5	,	,	PUNCT
easat-4570	76	6	and	and	CCONJ
easat-4570	76	7	thp-1	thp-1	ADP
easat-4570	76	8	cells	cell	NOUN
easat-4570	76	9	,	,	PUNCT
easat-4570	76	10	each	each	PRON
easat-4570	76	11	representing	represent	VERB
easat-4570	76	12	a	a	DET
easat-4570	76	13	distinct	distinct	ADJ
easat-4570	76	14	tissue	tissue	NOUN
easat-4570	76	15	or	or	CCONJ
easat-4570	76	16	immune	immune	ADJ
easat-4570	76	17	function	function	NOUN
easat-4570	76	18	,	,	PUNCT
easat-4570	76	19	exhibit	exhibit	VERB
easat-4570	76	20	different	different	ADJ
easat-4570	76	21	baseline	baseline	NOUN
easat-4570	76	22	morphologies	morphology	NOUN
easat-4570	76	23	that	that	PRON
easat-4570	76	24	can	can	AUX
easat-4570	76	25	be	be	AUX
easat-4570	76	26	used	use	VERB
easat-4570	76	27	to	to	PART
easat-4570	76	28	accurately	accurately	ADV
easat-4570	76	29	distinguish	distinguish	VERB
easat-4570	76	30	them	they	PRON
easat-4570	76	31	from	from	ADP
easat-4570	76	32	each	each	DET
easat-4570	76	33	other	other	ADJ
easat-4570	76	34	prior	prior	ADV
easat-4570	76	35	to	to	ADP
easat-4570	76	36	biomaterial	biomaterial	ADJ
easat-4570	76	37	exposure	exposure	NOUN
easat-4570	76	38	.	.	PUNCT
easat-4570	77	1	a549	a549	PROPN
easat-4570	77	2	cells	cell	NOUN
easat-4570	77	3	,	,	PUNCT
easat-4570	77	4	derived	derive	VERB
easat-4570	77	5	from	from	ADP
easat-4570	77	6	human	human	ADJ
easat-4570	77	7	lung	lung	NOUN
easat-4570	77	8	epithelial	epithelial	ADJ
easat-4570	77	9	carcinoma	carcinoma	NOUN
easat-4570	77	10	,	,	PUNCT
easat-4570	77	11	display	display	VERB
easat-4570	77	12	a	a	DET
easat-4570	77	13	polygonal	polygonal	ADJ
easat-4570	77	14	,	,	PUNCT
easat-4570	77	15	cobblestone	cobblestone	NOUN
easat-4570	77	16	-	-	PUNCT
easat-4570	77	17	like	like	ADJ
easat-4570	77	18	morphology	morphology	NOUN
easat-4570	77	19	,	,	PUNCT
easat-4570	77	20	typical	typical	ADJ
easat-4570	77	21	of	of	ADP
easat-4570	77	22	epithelial	epithelial	ADJ
easat-4570	77	23	cells	cell	NOUN
easat-4570	77	24	.	.	PUNCT
easat-4570	78	1	these	these	DET
easat-4570	78	2	cells	cell	NOUN
easat-4570	78	3	tend	tend	VERB
easat-4570	78	4	to	to	PART
easat-4570	78	5	grow	grow	VERB
easat-4570	78	6	in	in	ADP
easat-4570	78	7	a	a	DET
easat-4570	78	8	sheet	sheet	NOUN
easat-4570	78	9	-	-	PUNCT
easat-4570	78	10	like	like	ADJ
easat-4570	78	11	manner	manner	NOUN
easat-4570	78	12	,	,	PUNCT
easat-4570	78	13	with	with	ADP
easat-4570	78	14	tight	tight	ADJ
easat-4570	78	15	cellto	cellto	NOUN
easat-4570	78	16	-	-	PUNCT
easat-4570	78	17	cell	cell	NOUN
easat-4570	78	18	junctions	junction	NOUN
easat-4570	78	19	,	,	PUNCT
easat-4570	78	20	making	make	VERB
easat-4570	78	21	them	they	PRON
easat-4570	78	22	appear	appear	VERB
easat-4570	78	23	compact	compact	ADJ
easat-4570	78	24	and	and	CCONJ
easat-4570	78	25	well	well	ADV
easat-4570	78	26	-	-	PUNCT
easat-4570	78	27	ordered	order	VERB
easat-4570	78	28	under	under	ADP
easat-4570	78	29	high	high	ADJ
easat-4570	78	30	-	-	PUNCT
easat-4570	78	31	resolution	resolution	NOUN
easat-4570	78	32	microscopy	microscopy	NOUN
easat-4570	78	33	[	[	X
easat-4570	78	34	44	44	NUM
easat-4570	78	35	]	]	PUNCT
easat-4570	78	36	.	.	PUNCT
easat-4570	79	1	balb	balb	VERB
easat-4570	79	2	3t3	3t3	NUM
easat-4570	79	3	cells	cell	NOUN
easat-4570	79	4	,	,	PUNCT
easat-4570	79	5	a	a	DET
easat-4570	79	6	fibroblast	fibroblast	ADJ
easat-4570	79	7	cell	cell	NOUN
easat-4570	79	8	line	line	NOUN
easat-4570	79	9	,	,	PUNCT
easat-4570	79	10	show	show	VERB
easat-4570	79	11	an	an	DET
easat-4570	79	12	elongated	elongate	VERB
easat-4570	79	13	,	,	PUNCT
easat-4570	79	14	spindle	spindle	NOUN
easat-4570	79	15	-	-	PUNCT
easat-4570	79	16	like	like	ADJ
easat-4570	79	17	shape	shape	NOUN
easat-4570	79	18	,	,	PUNCT
easat-4570	79	19	characteristic	characteristic	ADJ
easat-4570	79	20	of	of	ADP
easat-4570	79	21	fibroblasts	fibroblast	NOUN
easat-4570	79	22	.	.	PUNCT
easat-4570	80	1	these	these	DET
easat-4570	80	2	cells	cell	NOUN
easat-4570	80	3	exhibit	exhibit	VERB
easat-4570	80	4	a	a	DET
easat-4570	80	5	scattered	scatter	VERB
easat-4570	80	6	growth	growth	NOUN
easat-4570	80	7	pattern	pattern	NOUN
easat-4570	80	8	with	with	ADP
easat-4570	80	9	elongated	elongate	VERB
easat-4570	80	10	processes	process	NOUN
easat-4570	80	11	extending	extend	VERB
easat-4570	80	12	from	from	ADP
easat-4570	80	13	the	the	DET
easat-4570	80	14	cell	cell	NOUN
easat-4570	80	15	body	body	NOUN
easat-4570	80	16	.	.	PUNCT
easat-4570	81	1	their	their	PRON
easat-4570	81	2	morphology	morphology	NOUN
easat-4570	81	3	is	be	AUX
easat-4570	81	4	key	key	ADJ
easat-4570	81	5	in	in	ADP
easat-4570	81	6	distinguishing	distinguish	VERB
easat-4570	81	7	them	they	PRON
easat-4570	81	8	as	as	ADP
easat-4570	81	9	fibroblast	fibroblast	ADJ
easat-4570	81	10	-	-	PUNCT
easat-4570	81	11	like	like	ADJ
easat-4570	81	12	cells	cell	NOUN
easat-4570	81	13	that	that	PRON
easat-4570	81	14	contribute	contribute	VERB
easat-4570	81	15	to	to	ADP
easat-4570	81	16	connective	connective	ADJ
easat-4570	81	17	tissue	tissue	NOUN
easat-4570	81	18	formation	formation	NOUN
easat-4570	82	1	[	[	X
easat-4570	82	2	45	45	NUM
easat-4570	82	3	]	]	PUNCT
easat-4570	82	4	.	.	PUNCT
easat-4570	83	1	thp1	thp1	NOUN
easat-4570	83	2	cells	cell	NOUN
easat-4570	83	3	,	,	PUNCT
easat-4570	83	4	a	a	DET
easat-4570	83	5	monocyte	monocyte	NOUN
easat-4570	83	6	cell	cell	NOUN
easat-4570	83	7	line	line	NOUN
easat-4570	83	8	,	,	PUNCT
easat-4570	83	9	exhibit	exhibit	VERB
easat-4570	83	10	a	a	DET
easat-4570	83	11	round	round	ADJ
easat-4570	83	12	,	,	PUNCT
easat-4570	83	13	non	non	ADJ
easat-4570	83	14	-	-	ADJ
easat-4570	83	15	adherent	adherent	ADJ
easat-4570	83	16	morphology	morphology	NOUN
easat-4570	83	17	when	when	SCONJ
easat-4570	83	18	in	in	ADP
easat-4570	83	19	their	their	PRON
easat-4570	83	20	undifferentiated	undifferentiated	ADJ
easat-4570	83	21	state	state	NOUN
easat-4570	83	22	.	.	PUNCT
easat-4570	84	1	thp-1	thp-1	ADP
easat-4570	84	2	cells	cell	NOUN
easat-4570	84	3	float	float	VERB
easat-4570	84	4	in	in	ADP
easat-4570	84	5	suspension	suspension	NOUN
easat-4570	84	6	,	,	PUNCT
easat-4570	84	7	unlike	unlike	ADP
easat-4570	84	8	a549	a549	PRON
easat-4570	84	9	and	and	CCONJ
easat-4570	84	10	balb	balb	ADJ
easat-4570	84	11	3t3	3t3	NUM
easat-4570	84	12	,	,	PUNCT
easat-4570	84	13	and	and	CCONJ
easat-4570	84	14	do	do	AUX
easat-4570	84	15	not	not	PART
easat-4570	84	16	adhere	adhere	VERB
easat-4570	84	17	to	to	ADP
easat-4570	84	18	culture	culture	NOUN
easat-4570	84	19	surfaces	surface	NOUN
easat-4570	84	20	.	.	PUNCT
easat-4570	85	1	upon	upon	SCONJ
easat-4570	85	2	differentiation	differentiation	NOUN
easat-4570	85	3	into	into	ADP
easat-4570	85	4	macrophages	macrophage	NOUN
easat-4570	85	5	,	,	PUNCT
easat-4570	85	6	they	they	PRON
easat-4570	85	7	become	become	VERB
easat-4570	85	8	adherent	adherent	ADJ
easat-4570	85	9	and	and	CCONJ
easat-4570	85	10	take	take	VERB
easat-4570	85	11	on	on	ADP
easat-4570	85	12	an	an	DET
easat-4570	85	13	irregular	irregular	ADJ
easat-4570	85	14	,	,	PUNCT
easat-4570	85	15	spread	spread	VERB
easat-4570	85	16	-	-	PUNCT
easat-4570	85	17	out	out	ADP
easat-4570	85	18	shape	shape	NOUN
easat-4570	85	19	,	,	PUNCT
easat-4570	85	20	which	which	PRON
easat-4570	85	21	is	be	AUX
easat-4570	85	22	often	often	ADV
easat-4570	85	23	used	use	VERB
easat-4570	85	24	as	as	ADP
easat-4570	85	25	a	a	DET
easat-4570	85	26	marker	marker	NOUN
easat-4570	85	27	of	of	ADP
easat-4570	85	28	macrophage	macrophage	ADJ
easat-4570	85	29	activation	activation	NOUN
easat-4570	85	30	[	[	X
easat-4570	85	31	46	46	NUM
easat-4570	85	32	]	]	PUNCT
easat-4570	85	33	.	.	PUNCT
easat-4570	86	1	these	these	DET
easat-4570	86	2	three	three	NUM
easat-4570	86	3	different	different	ADJ
easat-4570	86	4	cells	cell	NOUN
easat-4570	86	5	all	all	PRON
easat-4570	86	6	have	have	VERB
easat-4570	86	7	different	different	ADJ
easat-4570	86	8	cell	cell	NOUN
easat-4570	86	9	features	feature	NOUN
easat-4570	86	10	,	,	PUNCT
easat-4570	86	11	and	and	CCONJ
easat-4570	86	12	it	it	PRON
easat-4570	86	13	is	be	AUX
easat-4570	86	14	easier	easy	ADJ
easat-4570	86	15	to	to	PART
easat-4570	86	16	distinguish	distinguish	VERB
easat-4570	86	17	thp1	thp1	NOUN
easat-4570	86	18	from	from	ADP
easat-4570	86	19	the	the	DET
easat-4570	86	20	others	other	NOUN
easat-4570	86	21	when	when	SCONJ
easat-4570	86	22	they	they	PRON
easat-4570	86	23	are	be	AUX
easat-4570	86	24	not	not	PART
easat-4570	86	25	living	live	VERB
easat-4570	86	26	in	in	ADP
easat-4570	86	27	clusters	cluster	NOUN
easat-4570	86	28	due	due	ADP
easat-4570	86	29	to	to	ADP
easat-4570	86	30	their	their	PRON
easat-4570	86	31	round	round	ADJ
easat-4570	86	32	shape	shape	NOUN
easat-4570	86	33	(	(	PUNCT
easat-4570	86	34	see	see	VERB
easat-4570	86	35	figure	figure	NOUN
easat-4570	86	36	1	1	NUM
easat-4570	86	37	)	)	PUNCT
easat-4570	86	38	.	.	PUNCT
easat-4570	87	1	however	however	ADV
easat-4570	87	2	,	,	PUNCT
easat-4570	87	3	balb	balb	VERB
easat-4570	87	4	3t3	3t3	NUM
easat-4570	87	5	and	and	CCONJ
easat-4570	87	6	a549	a549	PROPN
easat-4570	87	7	can	can	AUX
easat-4570	87	8	be	be	AUX
easat-4570	87	9	easily	easily	ADV
easat-4570	87	10	confused	confuse	VERB
easat-4570	87	11	,	,	PUNCT
easat-4570	87	12	especially	especially	ADV
easat-4570	87	13	when	when	SCONJ
easat-4570	87	14	the	the	DET
easat-4570	87	15	number	number	NOUN
easat-4570	87	16	of	of	ADP
easat-4570	87	17	cells	cell	NOUN
easat-4570	87	18	in	in	ADP
easat-4570	87	19	an	an	DET
easat-4570	87	20	image	image	NOUN
easat-4570	87	21	is	be	AUX
easat-4570	87	22	very	very	ADV
easat-4570	87	23	high	high	ADJ
easat-4570	87	24	.	.	PUNCT
easat-4570	88	1	the	the	DET
easat-4570	88	2	images	image	NOUN
easat-4570	88	3	are	be	AUX
easat-4570	88	4	taken	take	VERB
easat-4570	88	5	using	use	VERB
easat-4570	88	6	a	a	DET
easat-4570	88	7	brightfield	brightfield	NOUN
easat-4570	88	8	microscope	microscope	NOUN
easat-4570	88	9	,	,	PUNCT
easat-4570	88	10	having	have	VERB
easat-4570	88	11	low	low	ADJ
easat-4570	88	12	contrast	contrast	NOUN
easat-4570	88	13	,	,	PUNCT
easat-4570	88	14	different	different	ADJ
easat-4570	88	15	brightness	brightness	NOUN
easat-4570	88	16	,	,	PUNCT
easat-4570	88	17	and	and	CCONJ
easat-4570	88	18	nonuniform	nonuniform	ADJ
easat-4570	88	19	background	background	NOUN
easat-4570	88	20	illumination	illumination	NOUN
easat-4570	88	21	.	.	PUNCT
easat-4570	89	1	all	all	DET
easat-4570	89	2	these	these	DET
easat-4570	89	3	factors	factor	NOUN
easat-4570	89	4	may	may	AUX
easat-4570	89	5	affect	affect	VERB
easat-4570	89	6	the	the	DET
easat-4570	89	7	identification	identification	NOUN
easat-4570	89	8	of	of	ADP
easat-4570	89	9	cell	cell	NOUN
easat-4570	89	10	features	feature	NOUN
easat-4570	89	11	,	,	PUNCT
easat-4570	89	12	especially	especially	ADV
easat-4570	89	13	at	at	ADP
easat-4570	89	14	images	image	NOUN
easat-4570	89	15	where	where	SCONJ
easat-4570	89	16	the	the	DET
easat-4570	89	17	edges	edge	NOUN
easat-4570	89	18	of	of	ADP
easat-4570	89	19	the	the	DET
easat-4570	89	20	cells	cell	NOUN
easat-4570	89	21	are	be	AUX
easat-4570	89	22	very	very	ADV
easat-4570	89	23	difficult	difficult	ADJ
easat-4570	89	24	to	to	PART
easat-4570	89	25	distinguish	distinguish	VERB
easat-4570	89	26	from	from	ADP
easat-4570	89	27	the	the	DET
easat-4570	89	28	background	background	NOUN
easat-4570	89	29	.	.	PUNCT
easat-4570	90	1	685	685	NUM
easat-4570	90	2	edelweiss	edelweiss	PROPN
easat-4570	90	3	applied	apply	VERB
easat-4570	90	4	science	science	NOUN
easat-4570	90	5	and	and	CCONJ
easat-4570	90	6	technology	technology	NOUN
easat-4570	90	7	issn	issn	PROPN
easat-4570	90	8	:	:	PUNCT
easat-4570	90	9	2576	2576	NUM
easat-4570	90	10	-	-	SYM
easat-4570	90	11	8484	8484	NUM
easat-4570	90	12	vol	vol	NOUN
easat-4570	90	13	.	.	PROPN
easat-4570	91	1	9	9	NUM
easat-4570	91	2	,	,	PUNCT
easat-4570	91	3	no	no	INTJ
easat-4570	91	4	.	.	NOUN
easat-4570	91	5	2	2	NUM
easat-4570	91	6	:	:	PUNCT
easat-4570	91	7	682	682	NUM
easat-4570	91	8	-	-	SYM
easat-4570	91	9	707	707	NUM
easat-4570	91	10	,	,	PUNCT
easat-4570	91	11	2025	2025	NUM
easat-4570	91	12	doi	doi	NOUN
easat-4570	91	13	:	:	PUNCT
easat-4570	91	14	10.55214/25768484.v9i2.4570	10.55214/25768484.v9i2.4570	NUM
easat-4570	91	15	©	©	PROPN
easat-4570	91	16	2025	2025	NUM
easat-4570	91	17	by	by	ADP
easat-4570	91	18	the	the	DET
easat-4570	91	19	authors	author	NOUN
easat-4570	91	20	;	;	PUNCT
easat-4570	91	21	licensee	licensee	PROPN
easat-4570	91	22	learning	learning	NOUN
easat-4570	91	23	gate	gate	NOUN
easat-4570	91	24	this	this	PRON
easat-4570	91	25	would	would	AUX
easat-4570	91	26	significantly	significantly	ADV
easat-4570	91	27	decrease	decrease	VERB
easat-4570	91	28	the	the	DET
easat-4570	91	29	accuracy	accuracy	NOUN
easat-4570	91	30	of	of	ADP
easat-4570	91	31	the	the	DET
easat-4570	91	32	cell	cell	NOUN
easat-4570	91	33	identification	identification	NOUN
easat-4570	91	34	and	and	CCONJ
easat-4570	91	35	classification	classification	NOUN
easat-4570	91	36	.	.	PUNCT
easat-4570	92	1	figure	figure	NOUN
easat-4570	92	2	1	1	NUM
easat-4570	92	3	.	.	PUNCT
easat-4570	93	1	different	different	ADJ
easat-4570	93	2	cell	cell	NOUN
easat-4570	93	3	image	image	NOUN
easat-4570	93	4	features	feature	VERB
easat-4570	93	5	for	for	ADP
easat-4570	93	6	a549	a549	PROPN
easat-4570	93	7	,	,	PUNCT
easat-4570	93	8	balb	balb	VERB
easat-4570	93	9	3t3	3t3	NUM
easat-4570	93	10	and	and	CCONJ
easat-4570	93	11	thp1	thp1	NOUN
easat-4570	93	12	.	.	PUNCT
easat-4570	94	1	2.2	2.2	NUM
easat-4570	94	2	.	.	PUNCT
easat-4570	95	1	dataset	dataset	VERB
easat-4570	95	2	1	1	NUM
easat-4570	95	3	details	detail	NOUN
easat-4570	95	4	the	the	DET
easat-4570	95	5	dataset	dataset	NOUN
easat-4570	95	6	consists	consist	VERB
easat-4570	95	7	of	of	ADP
easat-4570	95	8	252	252	NUM
easat-4570	95	9	images	image	NOUN
easat-4570	95	10	in	in	ADP
easat-4570	95	11	total	total	NOUN
easat-4570	95	12	,	,	PUNCT
easat-4570	95	13	of	of	ADP
easat-4570	95	14	size	size	NOUN
easat-4570	95	15	1024	1024	NUM
easat-4570	95	16	x	x	SYM
easat-4570	95	17	1280	1280	NUM
easat-4570	95	18	pixels	pixel	NOUN
easat-4570	95	19	,	,	PUNCT
easat-4570	95	20	taken	take	VERB
easat-4570	95	21	at	at	ADP
easat-4570	95	22	day	day	NOUN
easat-4570	95	23	one	one	NUM
easat-4570	95	24	at	at	ADP
easat-4570	95	25	three	three	NUM
easat-4570	95	26	different	different	ADJ
easat-4570	95	27	types	type	NOUN
easat-4570	95	28	of	of	ADP
easat-4570	95	29	cells	cell	NOUN
easat-4570	95	30	:	:	PUNCT
easat-4570	95	31	a549	a549	PROPN
easat-4570	95	32	,	,	PUNCT
easat-4570	95	33	balb	balb	VERB
easat-4570	95	34	3t3	3t3	NUM
easat-4570	95	35	and	and	CCONJ
easat-4570	95	36	thp1	thp1	NOUN
easat-4570	95	37	.	.	PUNCT
easat-4570	96	1	there	there	PRON
easat-4570	96	2	are	be	VERB
easat-4570	96	3	84	84	NUM
easat-4570	96	4	images	image	NOUN
easat-4570	96	5	per	per	ADP
easat-4570	96	6	each	each	DET
easat-4570	96	7	type	type	NOUN
easat-4570	96	8	of	of	ADP
easat-4570	96	9	cell	cell	NOUN
easat-4570	96	10	,	,	PUNCT
easat-4570	96	11	divided	divide	VERB
easat-4570	96	12	into	into	ADP
easat-4570	96	13	56	56	NUM
easat-4570	96	14	images	image	NOUN
easat-4570	96	15	for	for	ADP
easat-4570	96	16	training	training	NOUN
easat-4570	96	17	and	and	CCONJ
easat-4570	96	18	28	28	NUM
easat-4570	96	19	images	image	NOUN
easat-4570	96	20	for	for	ADP
easat-4570	96	21	testing	testing	NOUN
easat-4570	96	22	,	,	PUNCT
easat-4570	96	23	66	66	NUM
easat-4570	96	24	%	%	NOUN
easat-4570	96	25	and	and	CCONJ
easat-4570	96	26	34	34	NUM
easat-4570	96	27	%	%	NOUN
easat-4570	96	28	respectively	respectively	ADV
easat-4570	96	29	.	.	PUNCT
easat-4570	97	1	so	so	ADV
easat-4570	97	2	,	,	PUNCT
easat-4570	97	3	the	the	DET
easat-4570	97	4	training	training	NOUN
easat-4570	97	5	dataset	dataset	NOUN
easat-4570	97	6	consists	consist	VERB
easat-4570	97	7	of	of	ADP
easat-4570	97	8	168	168	NUM
easat-4570	97	9	images	image	NOUN
easat-4570	97	10	in	in	ADP
easat-4570	97	11	total	total	NOUN
easat-4570	97	12	,	,	PUNCT
easat-4570	97	13	and	and	CCONJ
easat-4570	97	14	the	the	DET
easat-4570	97	15	testing	testing	NOUN
easat-4570	97	16	dataset	dataset	NOUN
easat-4570	97	17	has	have	VERB
easat-4570	97	18	84	84	NUM
easat-4570	97	19	images	image	NOUN
easat-4570	97	20	.	.	PUNCT
easat-4570	98	1	2.3	2.3	NUM
easat-4570	98	2	.	.	PUNCT
easat-4570	99	1	dataset	dataset	VERB
easat-4570	99	2	2	2	NUM
easat-4570	99	3	details	detail	NOUN
easat-4570	99	4	the	the	DET
easat-4570	99	5	number	number	NOUN
easat-4570	99	6	of	of	ADP
easat-4570	99	7	original	original	ADJ
easat-4570	99	8	images	image	NOUN
easat-4570	99	9	is	be	AUX
easat-4570	99	10	low	low	ADJ
easat-4570	99	11	and	and	CCONJ
easat-4570	99	12	the	the	DET
easat-4570	99	13	image	image	NOUN
easat-4570	99	14	size	size	NOUN
easat-4570	99	15	is	be	AUX
easat-4570	99	16	very	very	ADV
easat-4570	99	17	large	large	ADJ
easat-4570	99	18	compared	compare	VERB
easat-4570	99	19	to	to	ADP
easat-4570	99	20	cell	cell	NOUN
easat-4570	99	21	size	size	NOUN
easat-4570	99	22	.	.	PUNCT
easat-4570	100	1	the	the	DET
easat-4570	100	2	original	original	ADJ
easat-4570	100	3	images	image	NOUN
easat-4570	100	4	are	be	AUX
easat-4570	100	5	cropped	crop	VERB
easat-4570	100	6	to	to	ADP
easat-4570	100	7	smaller	small	ADJ
easat-4570	100	8	ones	one	NOUN
easat-4570	100	9	down	down	ADV
easat-4570	100	10	to	to	ADP
easat-4570	100	11	256x256	256x256	PROPN
easat-4570	100	12	pixels	pixel	NOUN
easat-4570	100	13	.	.	PUNCT
easat-4570	101	1	the	the	DET
easat-4570	101	2	newly	newly	ADV
easat-4570	101	3	formed	form	VERB
easat-4570	101	4	dataset	dataset	NOUN
easat-4570	101	5	is	be	AUX
easat-4570	101	6	cleaned	clean	VERB
easat-4570	101	7	by	by	ADP
easat-4570	101	8	removing	remove	VERB
easat-4570	101	9	empty	empty	ADJ
easat-4570	101	10	crops	crop	NOUN
easat-4570	101	11	(	(	PUNCT
easat-4570	101	12	only	only	ADV
easat-4570	101	13	background	background	NOUN
easat-4570	101	14	)	)	PUNCT
easat-4570	101	15	.	.	PUNCT
easat-4570	102	1	after	after	ADP
easat-4570	102	2	cleaning	clean	VERB
easat-4570	102	3	,	,	PUNCT
easat-4570	102	4	there	there	PRON
easat-4570	102	5	are	be	VERB
easat-4570	102	6	1580	1580	NUM
easat-4570	102	7	images	image	NOUN
easat-4570	102	8	per	per	ADP
easat-4570	102	9	each	each	DET
easat-4570	102	10	type	type	NOUN
easat-4570	102	11	of	of	ADP
easat-4570	102	12	cell	cell	NOUN
easat-4570	102	13	,	,	PUNCT
easat-4570	102	14	divided	divide	VERB
easat-4570	102	15	into	into	ADP
easat-4570	102	16	1052	1052	NUM
easat-4570	102	17	(	(	PUNCT
easat-4570	102	18	66	66	NUM
easat-4570	102	19	%	%	NOUN
easat-4570	102	20	)	)	PUNCT
easat-4570	102	21	and	and	CCONJ
easat-4570	102	22	528	528	NUM
easat-4570	102	23	(	(	PUNCT
easat-4570	102	24	34	34	NUM
easat-4570	102	25	%	%	NOUN
easat-4570	102	26	)	)	PUNCT
easat-4570	102	27	images	image	NOUN
easat-4570	102	28	into	into	ADP
easat-4570	102	29	training	training	NOUN
easat-4570	102	30	and	and	CCONJ
easat-4570	102	31	testing	testing	NOUN
easat-4570	102	32	dataset	dataset	VERB
easat-4570	102	33	respectively	respectively	ADV
easat-4570	102	34	.	.	PUNCT
easat-4570	103	1	so	so	ADV
easat-4570	103	2	,	,	PUNCT
easat-4570	103	3	in	in	ADP
easat-4570	103	4	total	total	NOUN
easat-4570	103	5	the	the	DET
easat-4570	103	6	training	training	NOUN
easat-4570	103	7	dataset	dataset	NOUN
easat-4570	103	8	consists	consist	NOUN
easat-4570	103	9	of	of	ADP
easat-4570	103	10	3156	3156	NUM
easat-4570	103	11	images	image	NOUN
easat-4570	103	12	and	and	CCONJ
easat-4570	103	13	the	the	DET
easat-4570	103	14	testing	testing	NOUN
easat-4570	103	15	dataset	dataset	NOUN
easat-4570	103	16	consists	consist	NOUN
easat-4570	103	17	of	of	ADP
easat-4570	103	18	1584	1584	NUM
easat-4570	103	19	images	image	NOUN
easat-4570	103	20	.	.	PUNCT
easat-4570	104	1	some	some	DET
easat-4570	104	2	balb	balb	ADJ
easat-4570	104	3	3t3	3t3	NUM
easat-4570	104	4	cells	cell	NOUN
easat-4570	104	5	have	have	VERB
easat-4570	104	6	a	a	DET
easat-4570	104	7	large	large	ADJ
easat-4570	104	8	cytoplasm	cytoplasm	NOUN
easat-4570	104	9	(	(	PUNCT
easat-4570	104	10	when	when	SCONJ
easat-4570	104	11	the	the	DET
easat-4570	104	12	confluency	confluency	NOUN
easat-4570	104	13	is	be	AUX
easat-4570	104	14	low	low	ADJ
easat-4570	104	15	)	)	PUNCT
easat-4570	104	16	that	that	PRON
easat-4570	104	17	can	can	AUX
easat-4570	104	18	be	be	AUX
easat-4570	104	19	represented	represent	VERB
easat-4570	104	20	by	by	ADP
easat-4570	104	21	image	image	NOUN
easat-4570	104	22	sections	section	NOUN
easat-4570	104	23	larger	large	ADJ
easat-4570	104	24	than	than	ADP
easat-4570	104	25	128x128	128x128	NUM
easat-4570	104	26	pixels	pixel	NOUN
easat-4570	104	27	and	and	CCONJ
easat-4570	104	28	this	this	PRON
easat-4570	104	29	the	the	DET
easat-4570	104	30	reason	reason	NOUN
easat-4570	104	31	why	why	SCONJ
easat-4570	104	32	the	the	DET
easat-4570	104	33	smallest	small	ADJ
easat-4570	104	34	cropped	cropped	ADJ
easat-4570	104	35	image	image	NOUN
easat-4570	104	36	used	use	VERB
easat-4570	104	37	is	be	AUX
easat-4570	104	38	256x256	256x256	PROPN
easat-4570	104	39	.	.	PUNCT
easat-4570	105	1	686	686	NUM
easat-4570	105	2	edelweiss	edelweiss	PROPN
easat-4570	105	3	applied	apply	VERB
easat-4570	105	4	science	science	NOUN
easat-4570	105	5	and	and	CCONJ
easat-4570	105	6	technology	technology	NOUN
easat-4570	105	7	issn	issn	PROPN
easat-4570	105	8	:	:	PUNCT
easat-4570	105	9	2576	2576	NUM
easat-4570	105	10	-	-	SYM
easat-4570	105	11	8484	8484	NUM
easat-4570	105	12	vol	vol	NOUN
easat-4570	105	13	.	.	PROPN
easat-4570	106	1	9	9	NUM
easat-4570	106	2	,	,	PUNCT
easat-4570	106	3	no	no	INTJ
easat-4570	106	4	.	.	NOUN
easat-4570	106	5	2	2	NUM
easat-4570	106	6	:	:	PUNCT
easat-4570	106	7	682	682	NUM
easat-4570	106	8	-	-	SYM
easat-4570	106	9	707	707	NUM
easat-4570	106	10	,	,	PUNCT
easat-4570	106	11	2025	2025	NUM
easat-4570	106	12	doi	doi	NOUN
easat-4570	106	13	:	:	PUNCT
easat-4570	106	14	10.55214/25768484.v9i2.4570	10.55214/25768484.v9i2.4570	NUM
easat-4570	106	15	©	©	PROPN
easat-4570	106	16	2025	2025	NUM
easat-4570	106	17	by	by	ADP
easat-4570	106	18	the	the	DET
easat-4570	106	19	authors	author	NOUN
easat-4570	106	20	;	;	PUNCT
easat-4570	106	21	licensee	licensee	PROPN
easat-4570	106	22	learning	learning	NOUN
easat-4570	106	23	gate	gate	VERB
easat-4570	106	24	2.4	2.4	NUM
easat-4570	106	25	.	.	PUNCT
easat-4570	107	1	butterworth	butterworth	PROPN
easat-4570	107	2	filter	filter	PROPN
easat-4570	107	3	butterworth	butterworth	PROPN
easat-4570	107	4	filters	filter	NOUN
easat-4570	107	5	are	be	AUX
easat-4570	107	6	both	both	CCONJ
easat-4570	107	7	low	low	ADJ
easat-4570	107	8	-	-	PUNCT
easat-4570	107	9	pass	pass	NOUN
easat-4570	107	10	and	and	CCONJ
easat-4570	107	11	high	high	ADJ
easat-4570	107	12	pass	pass	NOUN
easat-4570	107	13	filters	filter	NOUN
easat-4570	107	14	that	that	PRON
easat-4570	107	15	are	be	AUX
easat-4570	107	16	widely	widely	ADV
easat-4570	107	17	used	use	VERB
easat-4570	107	18	for	for	ADP
easat-4570	107	19	image	image	NOUN
easat-4570	107	20	enhancement	enhancement	NOUN
easat-4570	107	21	[	[	X
easat-4570	107	22	47	47	NUM
easat-4570	107	23	,	,	PUNCT
easat-4570	107	24	48	48	NUM
easat-4570	107	25	]	]	PUNCT
easat-4570	107	26	.	.	PUNCT
easat-4570	108	1	these	these	DET
easat-4570	108	2	filters	filter	NOUN
easat-4570	108	3	are	be	AUX
easat-4570	108	4	applied	apply	VERB
easat-4570	108	5	in	in	ADP
easat-4570	108	6	frequency	frequency	NOUN
easat-4570	108	7	domain	domain	NOUN
easat-4570	108	8	and	and	CCONJ
easat-4570	108	9	are	be	AUX
easat-4570	108	10	known	know	VERB
easat-4570	108	11	to	to	PART
easat-4570	108	12	effectively	effectively	ADV
easat-4570	108	13	reduce	reduce	VERB
easat-4570	108	14	noise	noise	NOUN
easat-4570	108	15	while	while	SCONJ
easat-4570	108	16	preserving	preserve	VERB
easat-4570	108	17	important	important	ADJ
easat-4570	108	18	information	information	NOUN
easat-4570	108	19	.	.	PUNCT
easat-4570	109	1	their	their	PRON
easat-4570	109	2	usage	usage	NOUN
easat-4570	109	3	in	in	ADP
easat-4570	109	4	these	these	DET
easat-4570	109	5	types	type	NOUN
easat-4570	109	6	of	of	ADP
easat-4570	109	7	cell	cell	NOUN
easat-4570	109	8	images	image	NOUN
easat-4570	109	9	,	,	PUNCT
easat-4570	109	10	are	be	AUX
easat-4570	109	11	very	very	ADV
easat-4570	109	12	useful	useful	ADJ
easat-4570	109	13	since	since	SCONJ
easat-4570	109	14	they	they	PRON
easat-4570	109	15	can	can	AUX
easat-4570	109	16	enhance	enhance	VERB
easat-4570	109	17	cytoplasm	cytoplasm	ADJ
easat-4570	109	18	features	feature	NOUN
easat-4570	109	19	,	,	PUNCT
easat-4570	109	20	sharpen	sharpen	VERB
easat-4570	109	21	the	the	DET
easat-4570	109	22	image	image	NOUN
easat-4570	109	23	without	without	ADP
easat-4570	109	24	the	the	DET
easat-4570	109	25	blurring	blur	VERB
easat-4570	109	26	effect	effect	NOUN
easat-4570	109	27	,	,	PUNCT
easat-4570	109	28	making	make	VERB
easat-4570	109	29	it	it	PRON
easat-4570	109	30	easier	easy	ADJ
easat-4570	109	31	for	for	SCONJ
easat-4570	109	32	the	the	DET
easat-4570	109	33	cells	cell	NOUN
easat-4570	109	34	to	to	PART
easat-4570	109	35	be	be	AUX
easat-4570	109	36	detected	detect	VERB
easat-4570	109	37	,	,	PUNCT
easat-4570	109	38	especially	especially	ADV
easat-4570	109	39	on	on	ADP
easat-4570	109	40	the	the	DET
easat-4570	109	41	images	image	NOUN
easat-4570	109	42	that	that	PRON
easat-4570	109	43	have	have	VERB
easat-4570	109	44	a	a	DET
easat-4570	109	45	low	low	ADJ
easat-4570	109	46	contrast	contrast	NOUN
easat-4570	109	47	compared	compare	VERB
easat-4570	109	48	to	to	ADP
easat-4570	109	49	the	the	DET
easat-4570	109	50	background	background	NOUN
easat-4570	109	51	(	(	PUNCT
easat-4570	109	52	see	see	VERB
easat-4570	109	53	figure	figure	NOUN
easat-4570	109	54	2,3	2,3	NUM
easat-4570	109	55	)	)	PUNCT
easat-4570	109	56	.	.	PUNCT
easat-4570	110	1	the	the	DET
easat-4570	110	2	passband	passband	NOUN
easat-4570	110	3	and	and	CCONJ
easat-4570	110	4	the	the	DET
easat-4570	110	5	stopband	stopband	NOUN
easat-4570	110	6	frequencies	frequency	NOUN
easat-4570	110	7	can	can	AUX
easat-4570	110	8	be	be	AUX
easat-4570	110	9	changed	change	VERB
easat-4570	110	10	to	to	PART
easat-4570	110	11	find	find	VERB
easat-4570	110	12	the	the	DET
easat-4570	110	13	optimal	optimal	ADJ
easat-4570	110	14	filter	filter	NOUN
easat-4570	110	15	values	value	NOUN
easat-4570	110	16	.	.	PUNCT
easat-4570	111	1	figure	figure	NOUN
easat-4570	111	2	2	2	NUM
easat-4570	111	3	.	.	PUNCT
easat-4570	111	4	filter	filter	NOUN
easat-4570	111	5	spectrum	spectrum	NOUN
easat-4570	111	6	for	for	ADP
easat-4570	111	7	the	the	DET
easat-4570	111	8	bandpass	bandpass	NOUN
easat-4570	111	9	filter	filter	NOUN
easat-4570	111	10	(	(	PUNCT
easat-4570	111	11	up	up	ADP
easat-4570	111	12	)	)	PUNCT
easat-4570	111	13	and	and	CCONJ
easat-4570	111	14	an	an	DET
easat-4570	111	15	example	example	NOUN
easat-4570	111	16	of	of	ADP
easat-4570	111	17	the	the	DET
easat-4570	111	18	usage	usage	NOUN
easat-4570	111	19	of	of	ADP
easat-4570	111	20	butterworth	butterworth	ADJ
easat-4570	111	21	filter	filter	NOUN
easat-4570	111	22	in	in	ADP
easat-4570	111	23	d1	d1	PROPN
easat-4570	111	24	.	.	PUNCT
easat-4570	112	1	the	the	DET
easat-4570	112	2	order	order	NOUN
easat-4570	112	3	of	of	ADP
easat-4570	112	4	the	the	DET
easat-4570	112	5	filter	filter	NOUN
easat-4570	112	6	is	be	AUX
easat-4570	112	7	another	another	DET
easat-4570	112	8	parameter	parameter	NOUN
easat-4570	112	9	that	that	PRON
easat-4570	112	10	affects	affect	VERB
easat-4570	112	11	how	how	SCONJ
easat-4570	112	12	much	much	ADJ
easat-4570	112	13	we	we	PRON
easat-4570	112	14	want	want	VERB
easat-4570	112	15	to	to	PART
easat-4570	112	16	smooth	smooth	VERB
easat-4570	112	17	out	out	ADP
easat-4570	112	18	fine	fine	ADJ
easat-4570	112	19	-	-	PUNCT
easat-4570	112	20	grain	grain	NOUN
easat-4570	112	21	details	detail	NOUN
easat-4570	112	22	or	or	CCONJ
easat-4570	112	23	enhance	enhance	VERB
easat-4570	112	24	the	the	DET
easat-4570	112	25	edges	edge	NOUN
easat-4570	112	26	and	and	CCONJ
easat-4570	112	27	cell	cell	NOUN
easat-4570	112	28	contours	contours	NOUN
easat-4570	112	29	.	.	PUNCT
easat-4570	113	1	in	in	ADP
easat-4570	113	2	this	this	DET
easat-4570	113	3	work	work	NOUN
easat-4570	113	4	,	,	PUNCT
easat-4570	113	5	three	three	NUM
easat-4570	113	6	types	type	NOUN
easat-4570	113	7	of	of	ADP
easat-4570	113	8	filters	filter	NOUN
easat-4570	113	9	bw1(lowpass=30	bw1(lowpass=30	PROPN
easat-4570	113	10	,	,	PUNCT
easat-4570	113	11	highpass=120	highpass=120	ADV
easat-4570	113	12	,	,	PUNCT
easat-4570	113	13	order=4	order=4	PROPN
easat-4570	113	14	)	)	PUNCT
easat-4570	113	15	,	,	PUNCT
easat-4570	113	16	bw2	bw2	PROPN
easat-4570	113	17	(	(	PUNCT
easat-4570	113	18	lowpass=30	lowpass=30	PROPN
easat-4570	113	19	,	,	PUNCT
easat-4570	113	20	highpass=150	highpass=150	PROPN
easat-4570	113	21	,	,	PUNCT
easat-4570	113	22	order=4	order=4	PROPN
easat-4570	113	23	)	)	PUNCT
easat-4570	113	24	,	,	PUNCT
easat-4570	113	25	bw3	bw3	PROPN
easat-4570	113	26	(	(	PUNCT
easat-4570	113	27	lowpass=50	lowpass=50	PROPN
easat-4570	113	28	,	,	PUNCT
easat-4570	113	29	highpass=150	highpass=150	PROPN
easat-4570	113	30	,	,	PUNCT
easat-4570	113	31	order=4	order=4	NUM
easat-4570	113	32	)	)	PUNCT
easat-4570	113	33	will	will	AUX
easat-4570	113	34	be	be	AUX
easat-4570	113	35	used	use	VERB
easat-4570	113	36	to	to	PART
easat-4570	113	37	check	check	VERB
easat-4570	113	38	how	how	SCONJ
easat-4570	113	39	the	the	DET
easat-4570	113	40	accuracy	accuracy	NOUN
easat-4570	113	41	changes	change	VERB
easat-4570	113	42	when	when	SCONJ
easat-4570	113	43	a	a	DET
easat-4570	113	44	preprocessing	preprocessing	NOUN
easat-4570	113	45	step	step	NOUN
easat-4570	113	46	is	be	AUX
easat-4570	113	47	applied	apply	VERB
easat-4570	113	48	to	to	ADP
easat-4570	113	49	the	the	DET
easat-4570	113	50	original	original	ADJ
easat-4570	113	51	images	image	NOUN
easat-4570	113	52	(	(	PUNCT
easat-4570	113	53	dataset	dataset	NOUN
easat-4570	113	54	1	1	NUM
easat-4570	113	55	)	)	PUNCT
easat-4570	113	56	.	.	PUNCT
easat-4570	114	1	687	687	NUM
easat-4570	114	2	edelweiss	edelweiss	PROPN
easat-4570	114	3	applied	apply	VERB
easat-4570	114	4	science	science	NOUN
easat-4570	114	5	and	and	CCONJ
easat-4570	114	6	technology	technology	NOUN
easat-4570	114	7	issn	issn	PROPN
easat-4570	114	8	:	:	PUNCT
easat-4570	114	9	2576	2576	NUM
easat-4570	114	10	-	-	SYM
easat-4570	114	11	8484	8484	NUM
easat-4570	114	12	vol	vol	NOUN
easat-4570	114	13	.	.	PROPN
easat-4570	115	1	9	9	NUM
easat-4570	115	2	,	,	PUNCT
easat-4570	115	3	no	no	INTJ
easat-4570	115	4	.	.	NOUN
easat-4570	115	5	2	2	NUM
easat-4570	115	6	:	:	PUNCT
easat-4570	115	7	682	682	NUM
easat-4570	115	8	-	-	SYM
easat-4570	115	9	707	707	NUM
easat-4570	115	10	,	,	PUNCT
easat-4570	115	11	2025	2025	NUM
easat-4570	115	12	doi	doi	NOUN
easat-4570	115	13	:	:	PUNCT
easat-4570	115	14	10.55214/25768484.v9i2.4570	10.55214/25768484.v9i2.4570	NUM
easat-4570	115	15	©	©	PROPN
easat-4570	115	16	2025	2025	NUM
easat-4570	115	17	by	by	ADP
easat-4570	115	18	the	the	DET
easat-4570	115	19	authors	author	NOUN
easat-4570	115	20	;	;	PUNCT
easat-4570	115	21	licensee	licensee	PROPN
easat-4570	115	22	learning	learn	VERB
easat-4570	115	23	gate	gate	PROPN
easat-4570	115	24	figure	figure	NOUN
easat-4570	115	25	3	3	NUM
easat-4570	115	26	.	.	PUNCT
easat-4570	115	27	cell	cell	NOUN
easat-4570	115	28	images	image	NOUN
easat-4570	115	29	for	for	ADP
easat-4570	115	30	a549	a549	PROPN
easat-4570	115	31	,	,	PUNCT
easat-4570	115	32	balb	balb	VERB
easat-4570	115	33	3t3	3t3	NUM
easat-4570	115	34	and	and	CCONJ
easat-4570	115	35	thp1	thp1	NOUN
easat-4570	115	36	after	after	ADP
easat-4570	115	37	applying	apply	VERB
easat-4570	115	38	butterworth	butterworth	NOUN
easat-4570	115	39	filters	filter	NOUN
easat-4570	115	40	.	.	PUNCT
easat-4570	116	1	3	3	X
easat-4570	116	2	.	.	X
easat-4570	116	3	methods	method	NOUN
easat-4570	116	4	3.1	3.1	NUM
easat-4570	116	5	.	.	PUNCT
easat-4570	117	1	feature	feature	NOUN
easat-4570	117	2	extraction	extraction	NOUN
easat-4570	117	3	the	the	DET
easat-4570	117	4	key	key	ADJ
easat-4570	117	5	cell	cell	NOUN
easat-4570	117	6	differences	difference	NOUN
easat-4570	117	7	between	between	ADP
easat-4570	117	8	these	these	DET
easat-4570	117	9	cell	cell	NOUN
easat-4570	117	10	types	type	NOUN
easat-4570	117	11	can	can	AUX
easat-4570	117	12	be	be	AUX
easat-4570	117	13	summarized	summarize	VERB
easat-4570	117	14	as	as	ADP
easat-4570	117	15	:	:	PUNCT
easat-4570	117	16	a	a	X
easat-4570	117	17	)	)	PUNCT
easat-4570	117	18	a549	a549	PROPN
easat-4570	117	19	cells	cell	NOUN
easat-4570	117	20	have	have	VERB
easat-4570	117	21	a	a	DET
easat-4570	117	22	polygonal	polygonal	ADJ
easat-4570	117	23	shape	shape	NOUN
easat-4570	117	24	,	,	PUNCT
easat-4570	117	25	tight	tight	ADJ
easat-4570	117	26	cell	cell	NOUN
easat-4570	117	27	junctions	junction	NOUN
easat-4570	117	28	,	,	PUNCT
easat-4570	117	29	cobblestone	cobblestone	NOUN
easat-4570	117	30	appearance	appearance	NOUN
easat-4570	117	31	;	;	PUNCT
easat-4570	117	32	b	b	X
easat-4570	117	33	)	)	PUNCT
easat-4570	117	34	balb	balb	NOUN
easat-4570	117	35	3t3	3t3	NUM
easat-4570	117	36	cells	cell	NOUN
easat-4570	117	37	have	have	VERB
easat-4570	117	38	a	a	DET
easat-4570	117	39	spindle	spindle	NOUN
easat-4570	117	40	-	-	PUNCT
easat-4570	117	41	like	like	ADJ
easat-4570	117	42	,	,	PUNCT
easat-4570	117	43	elongated	elongate	VERB
easat-4570	117	44	shape	shape	NOUN
easat-4570	117	45	,	,	PUNCT
easat-4570	117	46	scattered	scatter	VERB
easat-4570	117	47	growth	growth	NOUN
easat-4570	117	48	with	with	ADP
easat-4570	117	49	extended	extended	ADJ
easat-4570	117	50	processes	process	NOUN
easat-4570	117	51	;	;	PUNCT
easat-4570	117	52	c	c	X
easat-4570	117	53	)	)	PUNCT
easat-4570	117	54	thp1	thp1	NOUN
easat-4570	117	55	cells	cell	NOUN
easat-4570	117	56	are	be	AUX
easat-4570	117	57	round	round	ADJ
easat-4570	117	58	,	,	PUNCT
easat-4570	117	59	non	non	ADJ
easat-4570	117	60	-	-	ADJ
easat-4570	117	61	adherent	adherent	ADJ
easat-4570	117	62	(	(	PUNCT
easat-4570	117	63	in	in	ADP
easat-4570	117	64	monocytic	monocytic	ADJ
easat-4570	117	65	form	form	NOUN
easat-4570	117	66	)	)	PUNCT
easat-4570	117	67	.	.	PUNCT
easat-4570	118	1	a	a	DET
easat-4570	118	2	higher	high	ADJ
easat-4570	118	3	classification	classification	NOUN
easat-4570	118	4	performance	performance	NOUN
easat-4570	118	5	means	mean	VERB
easat-4570	118	6	that	that	SCONJ
easat-4570	118	7	the	the	DET
easat-4570	118	8	algorithm	algorithm	NOUN
easat-4570	118	9	can	can	AUX
easat-4570	118	10	detect	detect	VERB
easat-4570	118	11	these	these	PRON
easat-4570	118	12	on	on	ADP
easat-4570	118	13	the	the	DET
easat-4570	118	14	extracted	extract	VERB
easat-4570	118	15	image	image	NOUN
easat-4570	118	16	features	feature	NOUN
easat-4570	118	17	.	.	PUNCT
easat-4570	119	1	dhal	dhal	NOUN
easat-4570	119	2	and	and	CCONJ
easat-4570	119	3	azad	azad	NOUN
easat-4570	120	1	[	[	X
easat-4570	120	2	49	49	NUM
easat-4570	120	3	]	]	PUNCT
easat-4570	120	4	provide	provide	VERB
easat-4570	120	5	a	a	DET
easat-4570	120	6	deep	deep	ADJ
easat-4570	120	7	analysis	analysis	NOUN
easat-4570	120	8	regarding	regard	VERB
easat-4570	120	9	feature	feature	NOUN
easat-4570	120	10	selection	selection	NOUN
easat-4570	120	11	and	and	CCONJ
easat-4570	120	12	feature	feature	NOUN
easat-4570	120	13	extraction	extraction	NOUN
easat-4570	120	14	methods	method	NOUN
easat-4570	120	15	,	,	PUNCT
easat-4570	120	16	based	base	VERB
easat-4570	120	17	on	on	ADP
easat-4570	120	18	related	related	ADJ
easat-4570	120	19	research	research	NOUN
easat-4570	120	20	.	.	PUNCT
easat-4570	121	1	the	the	DET
easat-4570	121	2	extraction	extraction	NOUN
easat-4570	121	3	of	of	ADP
easat-4570	121	4	image	image	NOUN
easat-4570	121	5	features	feature	NOUN
easat-4570	121	6	is	be	AUX
easat-4570	121	7	done	do	VERB
easat-4570	121	8	by	by	ADP
easat-4570	121	9	using	use	VERB
easat-4570	121	10	three	three	NUM
easat-4570	121	11	different	different	ADJ
easat-4570	121	12	architectures	architecture	NOUN
easat-4570	121	13	:	:	PUNCT
easat-4570	121	14	inception	inception	PROPN
easat-4570	121	15	v3	v3	PROPN
easat-4570	121	16	,	,	PUNCT
easat-4570	121	17	squeezenet	squeezenet	NOUN
easat-4570	121	18	and	and	CCONJ
easat-4570	121	19	vgg	vgg	NOUN
easat-4570	121	20	16	16	NUM
easat-4570	121	21	.	.	PUNCT
easat-4570	122	1	they	they	PRON
easat-4570	122	2	are	be	AUX
easat-4570	122	3	all	all	ADV
easat-4570	122	4	pre	pre	ADJ
easat-4570	122	5	trained	train	VERB
easat-4570	122	6	on	on	ADP
easat-4570	122	7	imagenet	imagenet	NOUN
easat-4570	122	8	,	,	PUNCT
easat-4570	122	9	a	a	DET
easat-4570	122	10	very	very	ADV
easat-4570	122	11	large	large	ADJ
easat-4570	122	12	dataset	dataset	NOUN
easat-4570	122	13	consisting	consist	VERB
easat-4570	122	14	of	of	ADP
easat-4570	122	15	more	more	ADJ
easat-4570	122	16	than	than	ADP
easat-4570	122	17	14	14	NUM
easat-4570	122	18	million	million	NUM
easat-4570	122	19	images	image	NOUN
easat-4570	122	20	,	,	PUNCT
easat-4570	122	21	20.000	20.000	NUM
easat-4570	122	22	categories	category	NOUN
easat-4570	122	23	that	that	PRON
easat-4570	122	24	is	be	AUX
easat-4570	122	25	used	use	VERB
easat-4570	122	26	in	in	ADP
easat-4570	122	27	object	object	NOUN
easat-4570	122	28	recognition	recognition	NOUN
easat-4570	122	29	research	research	NOUN
easat-4570	122	30	.	.	PUNCT
easat-4570	123	1	inception	inception	PROPN
easat-4570	123	2	v3	v3	PROPN
easat-4570	123	3	[	[	X
easat-4570	123	4	30	30	NUM
easat-4570	123	5	]	]	PUNCT
easat-4570	123	6	utilizes	utilize	VERB
easat-4570	123	7	inception	inception	ADJ
easat-4570	123	8	modules	module	NOUN
easat-4570	123	9	to	to	PART
easat-4570	123	10	extract	extract	VERB
easat-4570	123	11	image	image	NOUN
easat-4570	123	12	features	feature	NOUN
easat-4570	123	13	at	at	ADP
easat-4570	123	14	different	different	ADJ
easat-4570	123	15	scales	scale	NOUN
easat-4570	123	16	.	.	PUNCT
easat-4570	124	1	these	these	DET
easat-4570	124	2	modules	module	NOUN
easat-4570	124	3	apply	apply	VERB
easat-4570	124	4	convolutions	convolution	NOUN
easat-4570	124	5	of	of	ADP
easat-4570	124	6	different	different	ADJ
easat-4570	124	7	sizes	size	NOUN
easat-4570	124	8	(	(	PUNCT
easat-4570	124	9	1x1	1x1	NUM
easat-4570	124	10	,	,	PUNCT
easat-4570	124	11	3x3	3x3	NUM
easat-4570	124	12	,	,	PUNCT
easat-4570	124	13	5x5	5x5	NUM
easat-4570	124	14	)	)	PUNCT
easat-4570	124	15	simultaneously	simultaneously	ADV
easat-4570	124	16	,	,	PUNCT
easat-4570	124	17	rather	rather	ADV
easat-4570	124	18	than	than	ADP
easat-4570	124	19	sequentially	sequentially	ADV
easat-4570	124	20	,	,	PUNCT
easat-4570	124	21	in	in	ADP
easat-4570	124	22	order	order	NOUN
easat-4570	124	23	to	to	PART
easat-4570	124	24	extract	extract	VERB
easat-4570	124	25	the	the	DET
easat-4570	124	26	features	feature	NOUN
easat-4570	124	27	.	.	PUNCT
easat-4570	125	1	this	this	DET
easat-4570	125	2	aspect	aspect	NOUN
easat-4570	125	3	is	be	AUX
easat-4570	125	4	very	very	ADV
easat-4570	125	5	effective	effective	ADJ
easat-4570	125	6	when	when	SCONJ
easat-4570	125	7	analyzing	analyze	VERB
easat-4570	125	8	images	image	NOUN
easat-4570	125	9	of	of	ADP
easat-4570	125	10	varying	vary	VERB
easat-4570	125	11	features	feature	NOUN
easat-4570	125	12	scales	scale	NOUN
easat-4570	125	13	,	,	PUNCT
easat-4570	125	14	and	and	CCONJ
easat-4570	125	15	this	this	PRON
easat-4570	125	16	is	be	AUX
easat-4570	125	17	why	why	SCONJ
easat-4570	125	18	inception	inception	ADJ
easat-4570	125	19	v3	v3	NOUN
easat-4570	125	20	architecture	architecture	NOUN
easat-4570	125	21	performs	perform	VERB
easat-4570	125	22	well	well	ADV
easat-4570	125	23	on	on	ADP
easat-4570	125	24	cell	cell	NOUN
easat-4570	125	25	images	image	NOUN
easat-4570	125	26	analysis	analysis	NOUN
easat-4570	125	27	.	.	PUNCT
easat-4570	126	1	inception	inception	PROPN
easat-4570	126	2	v3	v3	PROPN
easat-4570	126	3	has	have	AUX
easat-4570	126	4	been	be	AUX
easat-4570	126	5	successfully	successfully	ADV
easat-4570	126	6	used	use	VERB
easat-4570	126	7	in	in	ADP
easat-4570	126	8	medical	medical	ADJ
easat-4570	126	9	image	image	NOUN
easat-4570	126	10	analysis	analysis	NOUN
easat-4570	126	11	,	,	PUNCT
easat-4570	126	12	including	include	VERB
easat-4570	126	13	cancer	cancer	NOUN
easat-4570	126	14	cell	cell	NOUN
easat-4570	126	15	classification	classification	NOUN
easat-4570	126	16	[	[	X
easat-4570	126	17	50	50	NUM
easat-4570	126	18	,	,	PUNCT
easat-4570	126	19	51	51	NUM
easat-4570	126	20	]	]	PUNCT
easat-4570	126	21	and	and	CCONJ
easat-4570	126	22	pathology	pathology	NOUN
easat-4570	126	23	image	image	NOUN
easat-4570	126	24	recognition	recognition	NOUN
easat-4570	127	1	[	[	X
easat-4570	127	2	52	52	NUM
easat-4570	127	3	-	-	SYM
easat-4570	127	4	55	55	NUM
easat-4570	127	5	]	]	PUNCT
easat-4570	127	6	due	due	ADP
easat-4570	127	7	to	to	ADP
easat-4570	127	8	its	its	PRON
easat-4570	127	9	efficiency	efficiency	NOUN
easat-4570	127	10	in	in	ADP
easat-4570	127	11	feature	feature	NOUN
easat-4570	127	12	extraction	extraction	NOUN
easat-4570	127	13	and	and	CCONJ
easat-4570	127	14	classification	classification	NOUN
easat-4570	127	15	accuracy	accuracy	NOUN
easat-4570	127	16	.	.	PUNCT
easat-4570	128	1	the	the	DET
easat-4570	128	2	total	total	ADJ
easat-4570	128	3	number	number	NOUN
easat-4570	128	4	of	of	ADP
easat-4570	128	5	extracted	extract	VERB
easat-4570	128	6	feature	feature	NOUN
easat-4570	128	7	vector	vector	NOUN
easat-4570	128	8	sizes	size	NOUN
easat-4570	128	9	per	per	ADP
easat-4570	128	10	image	image	NOUN
easat-4570	128	11	is	be	AUX
easat-4570	128	12	2048	2048	NUM
easat-4570	128	13	.	.	PUNCT
easat-4570	129	1	688	688	NUM
easat-4570	129	2	edelweiss	edelweiss	PROPN
easat-4570	129	3	applied	apply	VERB
easat-4570	129	4	science	science	NOUN
easat-4570	129	5	and	and	CCONJ
easat-4570	129	6	technology	technology	NOUN
easat-4570	129	7	issn	issn	PROPN
easat-4570	129	8	:	:	PUNCT
easat-4570	129	9	2576	2576	NUM
easat-4570	129	10	-	-	SYM
easat-4570	129	11	8484	8484	NUM
easat-4570	129	12	vol	vol	NOUN
easat-4570	129	13	.	.	PROPN
easat-4570	130	1	9	9	NUM
easat-4570	130	2	,	,	PUNCT
easat-4570	130	3	no	no	INTJ
easat-4570	130	4	.	.	NOUN
easat-4570	130	5	2	2	NUM
easat-4570	130	6	:	:	PUNCT
easat-4570	130	7	682	682	NUM
easat-4570	130	8	-	-	SYM
easat-4570	130	9	707	707	NUM
easat-4570	130	10	,	,	PUNCT
easat-4570	130	11	2025	2025	NUM
easat-4570	130	12	doi	doi	NOUN
easat-4570	130	13	:	:	PUNCT
easat-4570	130	14	10.55214/25768484.v9i2.4570	10.55214/25768484.v9i2.4570	NUM
easat-4570	130	15	©	©	PROPN
easat-4570	130	16	2025	2025	NUM
easat-4570	130	17	by	by	ADP
easat-4570	130	18	the	the	DET
easat-4570	130	19	authors	author	NOUN
easat-4570	130	20	;	;	PUNCT
easat-4570	130	21	licensee	licensee	PROPN
easat-4570	130	22	learning	learn	VERB
easat-4570	130	23	gate	gate	PROPN
easat-4570	130	24	squeezenet	squeezenet	NOUN
easat-4570	130	25	[	[	X
easat-4570	130	26	33	33	NUM
easat-4570	130	27	]	]	PUNCT
easat-4570	130	28	is	be	AUX
easat-4570	130	29	a	a	DET
easat-4570	130	30	very	very	ADV
easat-4570	130	31	efficient	efficient	ADJ
easat-4570	130	32	architecture	architecture	NOUN
easat-4570	130	33	with	with	ADP
easat-4570	130	34	a	a	DET
easat-4570	130	35	compact	compact	ADJ
easat-4570	130	36	design	design	NOUN
easat-4570	130	37	,	,	PUNCT
easat-4570	130	38	that	that	PRON
easat-4570	130	39	reaches	reach	VERB
easat-4570	130	40	high	high	ADJ
easat-4570	130	41	accuracy	accuracy	NOUN
easat-4570	130	42	with	with	ADP
easat-4570	130	43	way	way	NOUN
easat-4570	130	44	less	less	ADJ
easat-4570	130	45	parameters	parameter	NOUN
easat-4570	130	46	compared	compare	VERB
easat-4570	130	47	to	to	ADP
easat-4570	130	48	other	other	ADJ
easat-4570	130	49	architectures	architecture	NOUN
easat-4570	130	50	.	.	PUNCT
easat-4570	131	1	it	it	PRON
easat-4570	131	2	uses	use	VERB
easat-4570	131	3	fire	fire	NOUN
easat-4570	131	4	modules	module	NOUN
easat-4570	131	5	to	to	PART
easat-4570	131	6	balance	balance	NOUN
easat-4570	131	7	accuracy	accuracy	NOUN
easat-4570	131	8	with	with	ADP
easat-4570	131	9	computational	computational	ADJ
easat-4570	131	10	efficiency	efficiency	NOUN
easat-4570	131	11	.	.	PUNCT
easat-4570	132	1	the	the	DET
easat-4570	132	2	fire	fire	NOUN
easat-4570	132	3	modules	module	NOUN
easat-4570	132	4	provide	provide	VERB
easat-4570	132	5	two	two	NUM
easat-4570	132	6	different	different	ADJ
easat-4570	132	7	processes	process	NOUN
easat-4570	132	8	“	"	PUNCT
easat-4570	132	9	squeezing	squeeze	VERB
easat-4570	132	10	”	"	PUNCT
easat-4570	132	11	and	and	CCONJ
easat-4570	132	12	“	"	PUNCT
easat-4570	132	13	expanding	expand	VERB
easat-4570	132	14	.	.	PUNCT
easat-4570	133	1	the	the	DET
easat-4570	133	2	first	first	ADJ
easat-4570	133	3	one	one	NUM
easat-4570	133	4	compresses	compress	VERB
easat-4570	133	5	the	the	DET
easat-4570	133	6	input	input	NOUN
easat-4570	133	7	channels	channel	NOUN
easat-4570	133	8	with	with	ADP
easat-4570	133	9	1x1	1x1	NUM
easat-4570	133	10	convolutions	convolution	NOUN
easat-4570	133	11	,	,	PUNCT
easat-4570	133	12	while	while	SCONJ
easat-4570	133	13	the	the	DET
easat-4570	133	14	second	second	ADJ
easat-4570	133	15	one	one	NOUN
easat-4570	133	16	increases	increase	VERB
easat-4570	133	17	the	the	DET
easat-4570	133	18	input	input	NOUN
easat-4570	133	19	channels	channel	NOUN
easat-4570	133	20	by	by	ADP
easat-4570	133	21	combining	combine	VERB
easat-4570	133	22	1x1	1x1	NUM
easat-4570	133	23	and	and	CCONJ
easat-4570	133	24	3x3	3x3	NUM
easat-4570	133	25	filters	filter	NOUN
easat-4570	133	26	.	.	PUNCT
easat-4570	134	1	its	its	PRON
easat-4570	134	2	compressed	compressed	ADJ
easat-4570	134	3	nature	nature	NOUN
easat-4570	134	4	,	,	PUNCT
easat-4570	134	5	mixed	mix	VERB
easat-4570	134	6	with	with	ADP
easat-4570	134	7	the	the	DET
easat-4570	134	8	ability	ability	NOUN
easat-4570	134	9	to	to	PART
easat-4570	134	10	extract	extract	VERB
easat-4570	134	11	important	important	ADJ
easat-4570	134	12	features	feature	NOUN
easat-4570	134	13	and	and	CCONJ
easat-4570	134	14	produce	produce	VERB
easat-4570	134	15	high	high	ADJ
easat-4570	134	16	results	result	NOUN
easat-4570	134	17	from	from	ADP
easat-4570	134	18	them	they	PRON
easat-4570	134	19	,	,	PUNCT
easat-4570	134	20	makes	make	VERB
easat-4570	134	21	it	it	PRON
easat-4570	134	22	ideal	ideal	ADJ
easat-4570	134	23	for	for	ADP
easat-4570	134	24	usage	usage	NOUN
easat-4570	134	25	in	in	ADP
easat-4570	134	26	a	a	DET
easat-4570	134	27	portable	portable	ADJ
easat-4570	134	28	,	,	PUNCT
easat-4570	134	29	low	low	ADJ
easat-4570	134	30	-	-	PUNCT
easat-4570	134	31	cost	cost	NOUN
easat-4570	134	32	device	device	NOUN
easat-4570	134	33	.	.	PUNCT
easat-4570	135	1	this	this	DET
easat-4570	135	2	architecture	architecture	NOUN
easat-4570	135	3	has	have	AUX
easat-4570	135	4	been	be	AUX
easat-4570	135	5	used	use	VERB
easat-4570	135	6	for	for	ADP
easat-4570	135	7	tumor	tumor	NOUN
easat-4570	135	8	cell	cell	NOUN
easat-4570	135	9	image	image	NOUN
easat-4570	135	10	classification	classification	NOUN
easat-4570	135	11	[	[	X
easat-4570	135	12	56	56	NUM
easat-4570	135	13	-	-	SYM
easat-4570	135	14	58	58	NUM
easat-4570	135	15	]	]	PUNCT
easat-4570	135	16	and	and	CCONJ
easat-4570	135	17	other	other	ADJ
easat-4570	135	18	object	object	NOUN
easat-4570	135	19	classification	classification	NOUN
easat-4570	135	20	[	[	X
easat-4570	135	21	59	59	NUM
easat-4570	135	22	]	]	PUNCT
easat-4570	135	23	.	.	PUNCT
easat-4570	136	1	the	the	DET
easat-4570	136	2	total	total	ADJ
easat-4570	136	3	number	number	NOUN
easat-4570	136	4	of	of	ADP
easat-4570	136	5	extracted	extract	VERB
easat-4570	136	6	features	feature	NOUN
easat-4570	136	7	per	per	ADP
easat-4570	136	8	image	image	NOUN
easat-4570	136	9	is	be	AUX
easat-4570	136	10	1000	1000	NUM
easat-4570	136	11	.	.	PUNCT
easat-4570	137	1	vgg-16	vgg-16	X
easat-4570	138	1	[	[	X
easat-4570	138	2	60	60	NUM
easat-4570	138	3	]	]	PUNCT
easat-4570	138	4	architecture	architecture	NOUN
easat-4570	138	5	is	be	AUX
easat-4570	138	6	deeper	deep	ADJ
easat-4570	138	7	than	than	ADP
easat-4570	138	8	the	the	DET
easat-4570	138	9	other	other	ADJ
easat-4570	138	10	mentioned	mention	VERB
easat-4570	138	11	ones	one	NOUN
easat-4570	138	12	,	,	PUNCT
easat-4570	138	13	and	and	CCONJ
easat-4570	138	14	requires	require	VERB
easat-4570	138	15	more	more	ADJ
easat-4570	138	16	time	time	NOUN
easat-4570	138	17	during	during	ADP
easat-4570	138	18	the	the	DET
easat-4570	138	19	training	training	NOUN
easat-4570	138	20	and	and	CCONJ
easat-4570	138	21	testing	testing	NOUN
easat-4570	138	22	process	process	NOUN
easat-4570	138	23	.	.	PUNCT
easat-4570	139	1	this	this	PRON
easat-4570	139	2	is	be	AUX
easat-4570	139	3	due	due	ADJ
easat-4570	139	4	to	to	ADP
easat-4570	139	5	the	the	DET
easat-4570	139	6	fact	fact	NOUN
easat-4570	139	7	that	that	SCONJ
easat-4570	139	8	it	it	PRON
easat-4570	139	9	has	have	AUX
easat-4570	139	10	16	16	NUM
easat-4570	139	11	layers	layer	NOUN
easat-4570	139	12	,	,	PUNCT
easat-4570	139	13	primarily	primarily	ADV
easat-4570	139	14	composed	compose	VERB
easat-4570	139	15	of	of	ADP
easat-4570	139	16	3x3	3x3	NUM
easat-4570	139	17	convolutional	convolutional	ADJ
easat-4570	139	18	filters	filter	NOUN
easat-4570	139	19	,	,	PUNCT
easat-4570	139	20	but	but	CCONJ
easat-4570	139	21	the	the	DET
easat-4570	139	22	number	number	NOUN
easat-4570	139	23	can	can	AUX
easat-4570	139	24	be	be	AUX
easat-4570	139	25	adjusted	adjust	VERB
easat-4570	139	26	to	to	PART
easat-4570	139	27	reach	reach	VERB
easat-4570	139	28	higher	high	ADJ
easat-4570	139	29	accuracy	accuracy	NOUN
easat-4570	139	30	.	.	PUNCT
easat-4570	140	1	because	because	SCONJ
easat-4570	140	2	of	of	ADP
easat-4570	140	3	its	its	PRON
easat-4570	140	4	nature	nature	NOUN
easat-4570	140	5	,	,	PUNCT
easat-4570	140	6	it	it	PRON
easat-4570	140	7	is	be	AUX
easat-4570	140	8	able	able	ADJ
easat-4570	140	9	to	to	PART
easat-4570	140	10	extract	extract	VERB
easat-4570	140	11	hierarchical	hierarchical	ADJ
easat-4570	140	12	features	feature	NOUN
easat-4570	140	13	from	from	ADP
easat-4570	140	14	images	image	NOUN
easat-4570	140	15	and	and	CCONJ
easat-4570	140	16	recognize	recognize	VERB
easat-4570	140	17	complex	complex	ADJ
easat-4570	140	18	patterns	pattern	NOUN
easat-4570	140	19	,	,	PUNCT
easat-4570	140	20	which	which	PRON
easat-4570	140	21	is	be	AUX
easat-4570	140	22	why	why	SCONJ
easat-4570	140	23	vgg16	vgg16	NOUN
easat-4570	140	24	has	have	AUX
easat-4570	140	25	been	be	AUX
easat-4570	140	26	extensively	extensively	ADV
easat-4570	140	27	used	use	VERB
easat-4570	140	28	in	in	ADP
easat-4570	140	29	medical	medical	ADJ
easat-4570	140	30	imaging	imaging	NOUN
easat-4570	140	31	tasks	task	NOUN
easat-4570	140	32	[	[	X
easat-4570	140	33	61	61	NUM
easat-4570	140	34	]	]	PUNCT
easat-4570	140	35	including	include	VERB
easat-4570	140	36	cell	cell	NOUN
easat-4570	140	37	classification	classification	NOUN
easat-4570	140	38	[	[	X
easat-4570	140	39	62	62	NUM
easat-4570	140	40	]	]	PUNCT
easat-4570	140	41	tumor	tumor	NOUN
easat-4570	140	42	detection	detection	NOUN
easat-4570	140	43	[	[	PUNCT
easat-4570	140	44	63	63	NUM
easat-4570	140	45	]	]	PUNCT
easat-4570	140	46	and	and	CCONJ
easat-4570	140	47	other	other	ADJ
easat-4570	140	48	diagnostic	diagnostic	ADJ
easat-4570	140	49	tasks	task	NOUN
easat-4570	140	50	[	[	X
easat-4570	140	51	64	64	NUM
easat-4570	140	52	]	]	PUNCT
easat-4570	140	53	.	.	PUNCT
easat-4570	141	1	while	while	SCONJ
easat-4570	141	2	vgg-16	vgg-16	NOUN
easat-4570	141	3	is	be	AUX
easat-4570	141	4	very	very	ADV
easat-4570	141	5	powerful	powerful	ADJ
easat-4570	141	6	in	in	ADP
easat-4570	141	7	feature	feature	NOUN
easat-4570	141	8	extraction	extraction	NOUN
easat-4570	141	9	,	,	PUNCT
easat-4570	141	10	the	the	DET
easat-4570	141	11	number	number	NOUN
easat-4570	141	12	of	of	ADP
easat-4570	141	13	features	feature	NOUN
easat-4570	141	14	extracted	extract	VERB
easat-4570	141	15	per	per	ADP
easat-4570	141	16	image	image	NOUN
easat-4570	141	17	is	be	AUX
easat-4570	141	18	high	high	ADJ
easat-4570	141	19	,	,	PUNCT
easat-4570	141	20	4096	4096	NUM
easat-4570	141	21	to	to	PART
easat-4570	141	22	be	be	AUX
easat-4570	141	23	precise	precise	ADJ
easat-4570	141	24	,	,	PUNCT
easat-4570	141	25	which	which	PRON
easat-4570	141	26	may	may	AUX
easat-4570	141	27	not	not	PART
easat-4570	141	28	be	be	AUX
easat-4570	141	29	ideal	ideal	ADJ
easat-4570	141	30	in	in	ADP
easat-4570	141	31	terms	term	NOUN
easat-4570	141	32	of	of	ADP
easat-4570	141	33	computational	computational	ADJ
easat-4570	141	34	power	power	NOUN
easat-4570	141	35	.	.	PUNCT
easat-4570	142	1	as	as	SCONJ
easat-4570	142	2	the	the	DET
easat-4570	142	3	number	number	NOUN
easat-4570	142	4	of	of	ADP
easat-4570	142	5	features	feature	NOUN
easat-4570	142	6	extracted	extract	VERB
easat-4570	142	7	from	from	ADP
easat-4570	142	8	these	these	DET
easat-4570	142	9	three	three	NUM
easat-4570	142	10	models	model	NOUN
easat-4570	142	11	is	be	AUX
easat-4570	142	12	high	high	ADJ
easat-4570	142	13	,	,	PUNCT
easat-4570	142	14	dimensionality	dimensionality	NOUN
easat-4570	142	15	reduction	reduction	NOUN
easat-4570	142	16	using	use	VERB
easat-4570	142	17	information	information	NOUN
easat-4570	142	18	gain	gain	NOUN
easat-4570	142	19	is	be	AUX
easat-4570	142	20	applied	apply	VERB
easat-4570	142	21	to	to	PART
easat-4570	142	22	select	select	VERB
easat-4570	142	23	top	top	ADJ
easat-4570	142	24	10	10	NUM
easat-4570	142	25	relevant	relevant	ADJ
easat-4570	142	26	features	feature	NOUN
easat-4570	142	27	per	per	ADP
easat-4570	142	28	each	each	DET
easat-4570	142	29	model	model	NOUN
easat-4570	142	30	.	.	PUNCT
easat-4570	143	1	information	information	NOUN
easat-4570	143	2	gain	gain	NOUN
easat-4570	143	3	finds	find	VERB
easat-4570	143	4	these	these	DET
easat-4570	143	5	features	feature	NOUN
easat-4570	143	6	by	by	ADP
easat-4570	143	7	evaluating	evaluate	VERB
easat-4570	143	8	each	each	DET
easat-4570	143	9	feature	feature	NOUN
easat-4570	143	10	contribution	contribution	NOUN
easat-4570	143	11	to	to	ADP
easat-4570	143	12	the	the	DET
easat-4570	143	13	classification	classification	NOUN
easat-4570	143	14	,	,	PUNCT
easat-4570	143	15	and	and	CCONJ
easat-4570	143	16	then	then	ADV
easat-4570	143	17	selects	select	VERB
easat-4570	143	18	those	those	PRON
easat-4570	143	19	that	that	PRON
easat-4570	143	20	can	can	AUX
easat-4570	143	21	distinguish	distinguish	VERB
easat-4570	143	22	each	each	DET
easat-4570	143	23	class	class	NOUN
easat-4570	143	24	better	well	ADV
easat-4570	143	25	[	[	X
easat-4570	143	26	40	40	NUM
easat-4570	143	27	,	,	PUNCT
easat-4570	143	28	65	65	NUM
easat-4570	143	29	]	]	PUNCT
easat-4570	143	30	.	.	PUNCT
easat-4570	144	1	applying	apply	VERB
easat-4570	144	2	dimensionality	dimensionality	NOUN
easat-4570	144	3	reduction	reduction	NOUN
easat-4570	144	4	to	to	ADP
easat-4570	144	5	10	10	NUM
easat-4570	144	6	most	most	ADV
easat-4570	144	7	relevant	relevant	ADJ
easat-4570	144	8	features	feature	NOUN
easat-4570	144	9	is	be	AUX
easat-4570	144	10	important	important	ADJ
easat-4570	144	11	for	for	ADP
easat-4570	144	12	several	several	ADJ
easat-4570	144	13	reasons	reason	NOUN
easat-4570	144	14	such	such	ADJ
easat-4570	144	15	as	as	ADP
easat-4570	144	16	:	:	PUNCT
easat-4570	144	17	i	i	NOUN
easat-4570	144	18	)	)	PUNCT
easat-4570	144	19	computational	computational	ADJ
easat-4570	144	20	efficiency	efficiency	NOUN
easat-4570	144	21	,	,	PUNCT
easat-4570	144	22	since	since	SCONJ
easat-4570	144	23	a	a	DET
easat-4570	144	24	smaller	small	ADJ
easat-4570	144	25	feature	feature	NOUN
easat-4570	144	26	dataset	dataset	NOUN
easat-4570	144	27	reduces	reduce	VERB
easat-4570	144	28	the	the	DET
easat-4570	144	29	computational	computational	ADJ
easat-4570	144	30	power	power	NOUN
easat-4570	144	31	,	,	PUNCT
easat-4570	144	32	making	make	VERB
easat-4570	144	33	it	it	PRON
easat-4570	144	34	feasible	feasible	ADJ
easat-4570	144	35	for	for	ADP
easat-4570	144	36	implementation	implementation	NOUN
easat-4570	144	37	in	in	ADP
easat-4570	144	38	a	a	DET
easat-4570	144	39	portable	portable	NOUN
easat-4570	144	40	,	,	PUNCT
easat-4570	144	41	lowcost	lowcost	X
easat-4570	144	42	device	device	NOUN
easat-4570	144	43	;	;	PUNCT
easat-4570	144	44	ii	ii	X
easat-4570	144	45	)	)	PUNCT
easat-4570	144	46	reduced	reduce	VERB
easat-4570	144	47	risk	risk	NOUN
easat-4570	144	48	of	of	ADP
easat-4570	144	49	overfitting	overfitting	NOUN
easat-4570	144	50	and	and	CCONJ
easat-4570	144	51	iii	iii	NOUN
easat-4570	144	52	)	)	PUNCT
easat-4570	144	53	faster	fast	ADJ
easat-4570	144	54	processing	processing	NOUN
easat-4570	144	55	and	and	CCONJ
easat-4570	144	56	real	real	ADJ
easat-4570	144	57	time	time	NOUN
easat-4570	144	58	evaluation	evaluation	NOUN
easat-4570	144	59	,	,	PUNCT
easat-4570	144	60	which	which	PRON
easat-4570	144	61	is	be	AUX
easat-4570	144	62	essential	essential	ADJ
easat-4570	144	63	in	in	ADP
easat-4570	144	64	these	these	DET
easat-4570	144	65	types	type	NOUN
easat-4570	144	66	of	of	ADP
easat-4570	144	67	devices	device	NOUN
easat-4570	144	68	.	.	PUNCT
easat-4570	145	1	3.2	3.2	NUM
easat-4570	145	2	.	.	PUNCT
easat-4570	145	3	classifiers	classifier	NOUN
easat-4570	145	4	the	the	DET
easat-4570	145	5	classifiers	classifier	NOUN
easat-4570	145	6	selected	select	VERB
easat-4570	145	7	in	in	ADP
easat-4570	145	8	this	this	DET
easat-4570	145	9	work	work	NOUN
easat-4570	145	10	are	be	AUX
easat-4570	145	11	knn	knn	PROPN
easat-4570	145	12	,	,	PUNCT
easat-4570	145	13	decision	decision	NOUN
easat-4570	145	14	tree	tree	NOUN
easat-4570	145	15	,	,	PUNCT
easat-4570	145	16	random	random	ADJ
easat-4570	145	17	forests	forest	NOUN
easat-4570	145	18	,	,	PUNCT
easat-4570	145	19	adaboost	adaboost	ADV
easat-4570	145	20	,	,	PUNCT
easat-4570	145	21	neural	neural	ADJ
easat-4570	145	22	network	network	NOUN
easat-4570	145	23	and	and	CCONJ
easat-4570	145	24	naïve	naïve	ADJ
easat-4570	145	25	bayes	baye	NOUN
easat-4570	145	26	.	.	PUNCT
easat-4570	146	1	k	k	X
easat-4570	146	2	-	-	PUNCT
easat-4570	146	3	nearest	near	ADJ
easat-4570	146	4	neighbours	neighbour	NOUN
easat-4570	146	5	[	[	X
easat-4570	146	6	66	66	NUM
easat-4570	146	7	]	]	PUNCT
easat-4570	146	8	is	be	AUX
easat-4570	146	9	a	a	DET
easat-4570	146	10	simple	simple	ADJ
easat-4570	146	11	yet	yet	CCONJ
easat-4570	146	12	effective	effective	ADJ
easat-4570	146	13	classification	classification	NOUN
easat-4570	146	14	algorithm	algorithm	NOUN
easat-4570	146	15	that	that	PRON
easat-4570	146	16	classifies	classify	VERB
easat-4570	146	17	instances	instance	NOUN
easat-4570	146	18	based	base	VERB
easat-4570	146	19	on	on	ADP
easat-4570	146	20	the	the	DET
easat-4570	146	21	closest	close	ADJ
easat-4570	146	22	training	training	NOUN
easat-4570	146	23	examples	example	NOUN
easat-4570	146	24	in	in	ADP
easat-4570	146	25	the	the	DET
easat-4570	146	26	feature	feature	NOUN
easat-4570	146	27	space	space	NOUN
easat-4570	146	28	.	.	PUNCT
easat-4570	147	1	for	for	ADP
easat-4570	147	2	each	each	DET
easat-4570	147	3	new	new	ADJ
easat-4570	147	4	cell	cell	NOUN
easat-4570	147	5	image	image	NOUN
easat-4570	147	6	,	,	PUNCT
easat-4570	147	7	the	the	DET
easat-4570	147	8	algorithm	algorithm	NOUN
easat-4570	147	9	identifies	identify	VERB
easat-4570	147	10	the	the	DET
easat-4570	147	11	“	"	PUNCT
easat-4570	147	12	k	k	NOUN
easat-4570	147	13	”	"	PUNCT
easat-4570	147	14	nearest	near	ADJ
easat-4570	147	15	neighbours	neighbour	NOUN
easat-4570	147	16	in	in	ADP
easat-4570	147	17	the	the	DET
easat-4570	147	18	training	training	NOUN
easat-4570	147	19	data	datum	NOUN
easat-4570	147	20	and	and	CCONJ
easat-4570	147	21	assigns	assign	VERB
easat-4570	147	22	the	the	DET
easat-4570	147	23	majority	majority	NOUN
easat-4570	147	24	class	class	NOUN
easat-4570	147	25	among	among	ADP
easat-4570	147	26	those	those	DET
easat-4570	147	27	neighbours	neighbour	NOUN
easat-4570	147	28	as	as	ADP
easat-4570	147	29	the	the	DET
easat-4570	147	30	predicted	predict	VERB
easat-4570	147	31	class	class	NOUN
easat-4570	147	32	.	.	PUNCT
easat-4570	148	1	the	the	DET
easat-4570	148	2	choice	choice	NOUN
easat-4570	148	3	of	of	ADP
easat-4570	148	4	“	"	PUNCT
easat-4570	148	5	k	k	NOUN
easat-4570	148	6	”	"	PUNCT
easat-4570	148	7	can	can	AUX
easat-4570	148	8	affect	affect	VERB
easat-4570	148	9	the	the	DET
easat-4570	148	10	algorithm	algorithm	NOUN
easat-4570	148	11	’s	’s	PART
easat-4570	148	12	performance	performance	NOUN
easat-4570	148	13	,	,	PUNCT
easat-4570	148	14	small	small	ADJ
easat-4570	148	15	values	value	NOUN
easat-4570	148	16	of	of	ADP
easat-4570	148	17	“	"	PUNCT
easat-4570	148	18	k	k	NOUN
easat-4570	148	19	”	"	PUNCT
easat-4570	148	20	can	can	AUX
easat-4570	148	21	lead	lead	VERB
easat-4570	148	22	to	to	ADP
easat-4570	148	23	sensitivity	sensitivity	NOUN
easat-4570	148	24	to	to	PART
easat-4570	148	25	noise	noise	VERB
easat-4570	148	26	,	,	PUNCT
easat-4570	148	27	while	while	SCONJ
easat-4570	148	28	larger	large	ADJ
easat-4570	148	29	values	value	NOUN
easat-4570	148	30	can	can	AUX
easat-4570	148	31	result	result	VERB
easat-4570	148	32	in	in	ADP
easat-4570	148	33	smoother	smooth	ADJ
easat-4570	148	34	boundaries	boundary	NOUN
easat-4570	148	35	between	between	ADP
easat-4570	148	36	classes	class	NOUN
easat-4570	148	37	.	.	PUNCT
easat-4570	149	1	it	it	PRON
easat-4570	149	2	can	can	AUX
easat-4570	149	3	be	be	AUX
easat-4570	149	4	very	very	ADV
easat-4570	149	5	effective	effective	ADJ
easat-4570	149	6	for	for	ADP
easat-4570	149	7	real	real	ADJ
easat-4570	149	8	time	time	NOUN
easat-4570	149	9	applications	application	NOUN
easat-4570	149	10	,	,	PUNCT
easat-4570	149	11	but	but	CCONJ
easat-4570	149	12	often	often	ADV
easat-4570	149	13	struggles	struggle	VERB
easat-4570	149	14	in	in	ADP
easat-4570	149	15	high	high	ADJ
easat-4570	149	16	dimensionality	dimensionality	NOUN
easat-4570	149	17	data	datum	NOUN
easat-4570	149	18	.	.	PUNCT
easat-4570	150	1	decision	decision	NOUN
easat-4570	150	2	tree	tree	NOUN
easat-4570	151	1	[	[	X
easat-4570	151	2	67	67	NUM
easat-4570	151	3	]	]	PUNCT
easat-4570	151	4	is	be	AUX
easat-4570	151	5	a	a	DET
easat-4570	151	6	conditional	conditional	ADJ
easat-4570	151	7	classifier	classifier	NOUN
easat-4570	151	8	,	,	PUNCT
easat-4570	151	9	where	where	SCONJ
easat-4570	151	10	features	feature	NOUN
easat-4570	151	11	are	be	AUX
easat-4570	151	12	shown	show	VERB
easat-4570	151	13	as	as	ADP
easat-4570	151	14	nodes	node	NOUN
easat-4570	151	15	,	,	PUNCT
easat-4570	151	16	and	and	CCONJ
easat-4570	151	17	the	the	DET
easat-4570	151	18	conditional	conditional	ADJ
easat-4570	151	19	rules	rule	NOUN
easat-4570	151	20	,	,	PUNCT
easat-4570	151	21	shown	show	VERB
easat-4570	151	22	as	as	ADP
easat-4570	151	23	edges	edge	NOUN
easat-4570	151	24	,	,	PUNCT
easat-4570	151	25	connect	connect	VERB
easat-4570	151	26	the	the	DET
easat-4570	151	27	nodes	node	NOUN
easat-4570	151	28	until	until	ADP
easat-4570	151	29	the	the	DET
easat-4570	151	30	predicted	predict	VERB
easat-4570	151	31	class	class	NOUN
easat-4570	151	32	label	label	NOUN
easat-4570	151	33	,	,	PUNCT
easat-4570	151	34	and	and	CCONJ
easat-4570	151	35	they	they	PRON
easat-4570	151	36	also	also	ADV
easat-4570	151	37	decide	decide	VERB
easat-4570	151	38	the	the	DET
easat-4570	151	39	flow	flow	NOUN
easat-4570	151	40	of	of	ADP
easat-4570	151	41	the	the	DET
easat-4570	151	42	algorithm	algorithm	NOUN
easat-4570	151	43	until	until	ADP
easat-4570	151	44	the	the	DET
easat-4570	151	45	final	final	ADJ
easat-4570	151	46	decision	decision	NOUN
easat-4570	151	47	.	.	PUNCT
easat-4570	152	1	they	they	PRON
easat-4570	152	2	offer	offer	VERB
easat-4570	152	3	a	a	DET
easat-4570	152	4	visual	visual	ADJ
easat-4570	152	5	representation	representation	NOUN
easat-4570	152	6	of	of	ADP
easat-4570	152	7	the	the	DET
easat-4570	152	8	combination	combination	NOUN
easat-4570	152	9	of	of	ADP
easat-4570	152	10	features	feature	NOUN
easat-4570	152	11	per	per	ADP
easat-4570	152	12	each	each	DET
easat-4570	152	13	final	final	ADJ
easat-4570	152	14	class	class	NOUN
easat-4570	152	15	decision	decision	NOUN
easat-4570	152	16	.	.	PUNCT
easat-4570	153	1	due	due	ADP
easat-4570	153	2	to	to	ADP
easat-4570	153	3	their	their	PRON
easat-4570	153	4	conditional	conditional	ADJ
easat-4570	153	5	rules	rule	NOUN
easat-4570	153	6	,	,	PUNCT
easat-4570	153	7	they	they	PRON
easat-4570	153	8	are	be	AUX
easat-4570	153	9	a	a	DET
easat-4570	153	10	good	good	ADJ
easat-4570	153	11	choice	choice	NOUN
easat-4570	153	12	for	for	ADP
easat-4570	153	13	problems	problem	NOUN
easat-4570	153	14	with	with	ADP
easat-4570	153	15	non	non	ADJ
easat-4570	153	16	-	-	ADJ
easat-4570	153	17	linear	linear	ADJ
easat-4570	153	18	features	feature	NOUN
easat-4570	153	19	,	,	PUNCT
easat-4570	153	20	but	but	CCONJ
easat-4570	153	21	may	may	AUX
easat-4570	153	22	suffer	suffer	VERB
easat-4570	153	23	from	from	ADP
easat-4570	153	24	overfitting	overfitte	VERB
easat-4570	153	25	.	.	PUNCT
easat-4570	154	1	random	random	ADJ
easat-4570	154	2	forest	forest	NOUN
easat-4570	155	1	[	[	X
easat-4570	155	2	68	68	NUM
easat-4570	155	3	]	]	PUNCT
easat-4570	155	4	uses	use	VERB
easat-4570	155	5	multiple	multiple	ADJ
easat-4570	155	6	decision	decision	NOUN
easat-4570	155	7	trees	tree	NOUN
easat-4570	155	8	on	on	ADP
easat-4570	155	9	its	its	PRON
easat-4570	155	10	core	core	NOUN
easat-4570	155	11	,	,	PUNCT
easat-4570	155	12	in	in	ADP
easat-4570	155	13	order	order	NOUN
easat-4570	155	14	to	to	PART
easat-4570	155	15	improve	improve	VERB
easat-4570	155	16	the	the	DET
easat-4570	155	17	performance	performance	NOUN
easat-4570	155	18	.	.	PUNCT
easat-4570	156	1	it	it	PRON
easat-4570	156	2	tries	try	VERB
easat-4570	156	3	to	to	PART
easat-4570	156	4	overcome	overcome	VERB
easat-4570	156	5	the	the	DET
easat-4570	156	6	problem	problem	NOUN
easat-4570	156	7	of	of	ADP
easat-4570	156	8	overfitting	overfitte	VERB
easat-4570	156	9	in	in	ADP
easat-4570	156	10	decision	decision	NOUN
easat-4570	156	11	trees	tree	NOUN
easat-4570	156	12	,	,	PUNCT
easat-4570	156	13	by	by	ADP
easat-4570	156	14	calculating	calculate	VERB
easat-4570	156	15	the	the	DET
easat-4570	156	16	average	average	NOUN
easat-4570	156	17	of	of	ADP
easat-4570	156	18	predictions	prediction	NOUN
easat-4570	156	19	of	of	ADP
easat-4570	156	20	the	the	DET
easat-4570	156	21	trees	tree	NOUN
easat-4570	156	22	,	,	PUNCT
easat-4570	156	23	making	make	VERB
easat-4570	156	24	it	it	PRON
easat-4570	156	25	more	more	ADV
easat-4570	156	26	robust	robust	ADJ
easat-4570	156	27	to	to	ADP
easat-4570	156	28	noisy	noisy	ADJ
easat-4570	156	29	data	datum	NOUN
easat-4570	156	30	or	or	CCONJ
easat-4570	156	31	small	small	ADJ
easat-4570	156	32	datasets	dataset	NOUN
easat-4570	156	33	.	.	PUNCT
easat-4570	157	1	during	during	ADP
easat-4570	157	2	the	the	DET
easat-4570	157	3	training	training	NOUN
easat-4570	157	4	process	process	NOUN
easat-4570	157	5	,	,	PUNCT
easat-4570	157	6	it	it	PRON
easat-4570	157	7	selects	select	VERB
easat-4570	157	8	a	a	DET
easat-4570	157	9	random	random	ADJ
easat-4570	157	10	subset	subset	NOUN
easat-4570	157	11	from	from	ADP
easat-4570	157	12	the	the	DET
easat-4570	157	13	training	training	NOUN
easat-4570	157	14	data	datum	NOUN
easat-4570	157	15	and	and	CCONJ
easat-4570	157	16	uses	use	VERB
easat-4570	157	17	it	it	PRON
easat-4570	157	18	to	to	PART
easat-4570	157	19	train	train	VERB
easat-4570	157	20	each	each	DET
easat-4570	157	21	tree	tree	NOUN
easat-4570	157	22	in	in	ADP
easat-4570	157	23	the	the	DET
easat-4570	157	24	forest	forest	NOUN
easat-4570	157	25	.	.	PUNCT
easat-4570	158	1	every	every	DET
easat-4570	158	2	tree	tree	NOUN
easat-4570	158	3	generates	generate	VERB
easat-4570	158	4	a	a	DET
easat-4570	158	5	random	random	ADJ
easat-4570	158	6	subset	subset	NOUN
easat-4570	158	7	of	of	ADP
easat-4570	158	8	features	feature	NOUN
easat-4570	158	9	,	,	PUNCT
easat-4570	158	10	and	and	CCONJ
easat-4570	158	11	the	the	DET
easat-4570	158	12	results	result	NOUN
easat-4570	158	13	are	be	AUX
easat-4570	158	14	aggregated	aggregate	VERB
easat-4570	158	15	in	in	ADP
easat-4570	158	16	the	the	DET
easat-4570	158	17	end	end	NOUN
easat-4570	158	18	.	.	PUNCT
easat-4570	159	1	by	by	ADP
easat-4570	159	2	doing	do	VERB
easat-4570	159	3	so	so	ADV
easat-4570	159	4	,	,	PUNCT
easat-4570	159	5	the	the	DET
easat-4570	159	6	model	model	NOUN
easat-4570	159	7	is	be	AUX
easat-4570	159	8	able	able	ADJ
easat-4570	159	9	to	to	PART
easat-4570	159	10	train	train	VERB
easat-4570	159	11	on	on	ADP
easat-4570	159	12	each	each	DET
easat-4570	159	13	features	feature	NOUN
easat-4570	159	14	of	of	ADP
easat-4570	159	15	the	the	DET
easat-4570	159	16	dataset	dataset	NOUN
easat-4570	159	17	,	,	PUNCT
easat-4570	159	18	proving	prove	VERB
easat-4570	159	19	to	to	PART
easat-4570	159	20	be	be	AUX
easat-4570	159	21	very	very	ADV
easat-4570	159	22	effective	effective	ADJ
easat-4570	159	23	when	when	SCONJ
easat-4570	159	24	classifying	classify	VERB
easat-4570	159	25	noisy	noisy	ADJ
easat-4570	159	26	and	and	CCONJ
easat-4570	159	27	high	high	ADJ
easat-4570	159	28	dimensionality	dimensionality	NOUN
easat-4570	159	29	data	datum	NOUN
easat-4570	159	30	.	.	PUNCT
easat-4570	160	1	adaboost	adaboost	ADV
easat-4570	160	2	[	[	X
easat-4570	160	3	69	69	NUM
easat-4570	160	4	]	]	X
easat-4570	160	5	adaptive	adaptive	ADJ
easat-4570	160	6	boosting	boost	VERB
easat-4570	160	7	is	be	AUX
easat-4570	160	8	an	an	DET
easat-4570	160	9	ensemble	ensemble	ADJ
easat-4570	160	10	learning	learning	NOUN
easat-4570	160	11	method	method	NOUN
easat-4570	160	12	that	that	PRON
easat-4570	160	13	tries	try	VERB
easat-4570	160	14	to	to	PART
easat-4570	160	15	increase	increase	VERB
easat-4570	160	16	the	the	DET
easat-4570	160	17	accuracy	accuracy	NOUN
easat-4570	160	18	of	of	ADP
easat-4570	160	19	the	the	DET
easat-4570	160	20	weak	weak	ADJ
easat-4570	160	21	classifiers	classifier	NOUN
easat-4570	160	22	by	by	ADP
easat-4570	160	23	putting	put	VERB
easat-4570	160	24	more	more	ADJ
easat-4570	160	25	emphasis	emphasis	NOUN
easat-4570	160	26	on	on	ADP
easat-4570	160	27	the	the	DET
easat-4570	160	28	hard	hard	ADJ
easat-4570	160	29	to	to	PART
easat-4570	160	30	classify	classify	VERB
easat-4570	160	31	objects	object	NOUN
easat-4570	160	32	or	or	CCONJ
easat-4570	160	33	instances	instance	NOUN
easat-4570	160	34	.	.	PUNCT
easat-4570	161	1	689	689	NUM
easat-4570	161	2	edelweiss	edelweiss	PROPN
easat-4570	161	3	applied	apply	VERB
easat-4570	161	4	science	science	NOUN
easat-4570	161	5	and	and	CCONJ
easat-4570	161	6	technology	technology	NOUN
easat-4570	161	7	issn	issn	PROPN
easat-4570	161	8	:	:	PUNCT
easat-4570	161	9	2576	2576	NUM
easat-4570	161	10	-	-	SYM
easat-4570	161	11	8484	8484	NUM
easat-4570	161	12	vol	vol	NOUN
easat-4570	161	13	.	.	PROPN
easat-4570	162	1	9	9	NUM
easat-4570	162	2	,	,	PUNCT
easat-4570	162	3	no	no	INTJ
easat-4570	162	4	.	.	NOUN
easat-4570	162	5	2	2	NUM
easat-4570	162	6	:	:	PUNCT
easat-4570	162	7	682	682	NUM
easat-4570	162	8	-	-	SYM
easat-4570	162	9	707	707	NUM
easat-4570	162	10	,	,	PUNCT
easat-4570	162	11	2025	2025	NUM
easat-4570	162	12	doi	doi	NOUN
easat-4570	162	13	:	:	PUNCT
easat-4570	162	14	10.55214/25768484.v9i2.4570	10.55214/25768484.v9i2.4570	NUM
easat-4570	162	15	©	©	PROPN
easat-4570	162	16	2025	2025	NUM
easat-4570	162	17	by	by	ADP
easat-4570	162	18	the	the	DET
easat-4570	162	19	authors	author	NOUN
easat-4570	162	20	;	;	PUNCT
easat-4570	162	21	licensee	licensee	PROPN
easat-4570	162	22	learning	learning	NOUN
easat-4570	162	23	gate	gate	VERB
easat-4570	162	24	the	the	DET
easat-4570	162	25	training	training	NOUN
easat-4570	162	26	process	process	NOUN
easat-4570	162	27	is	be	AUX
easat-4570	162	28	done	do	VERB
easat-4570	162	29	in	in	ADP
easat-4570	162	30	a	a	DET
easat-4570	162	31	group	group	NOUN
easat-4570	162	32	of	of	ADP
easat-4570	162	33	classifiers	classifier	NOUN
easat-4570	162	34	sequentially	sequentially	ADV
easat-4570	162	35	and	and	CCONJ
easat-4570	162	36	for	for	ADP
easat-4570	162	37	each	each	DET
easat-4570	162	38	iteration	iteration	NOUN
easat-4570	162	39	,	,	PUNCT
easat-4570	162	40	it	it	PRON
easat-4570	162	41	gives	give	VERB
easat-4570	162	42	more	more	ADJ
easat-4570	162	43	weight	weight	NOUN
easat-4570	162	44	to	to	ADP
easat-4570	162	45	the	the	DET
easat-4570	162	46	wrongly	wrongly	ADV
easat-4570	162	47	classified	classify	VERB
easat-4570	162	48	objects	object	NOUN
easat-4570	162	49	or	or	CCONJ
easat-4570	162	50	instances	instance	NOUN
easat-4570	162	51	from	from	ADP
easat-4570	162	52	the	the	DET
easat-4570	162	53	previous	previous	ADJ
easat-4570	162	54	step	step	NOUN
easat-4570	162	55	.	.	PUNCT
easat-4570	163	1	the	the	DET
easat-4570	163	2	final	final	ADJ
easat-4570	163	3	result	result	NOUN
easat-4570	163	4	is	be	AUX
easat-4570	163	5	a	a	DET
easat-4570	163	6	combination	combination	NOUN
easat-4570	163	7	of	of	ADP
easat-4570	163	8	all	all	DET
easat-4570	163	9	the	the	DET
easat-4570	163	10	classifiers	classifier	NOUN
easat-4570	163	11	,	,	PUNCT
easat-4570	163	12	giving	give	VERB
easat-4570	163	13	more	more	ADJ
easat-4570	163	14	weight	weight	NOUN
easat-4570	163	15	to	to	ADP
easat-4570	163	16	the	the	DET
easat-4570	163	17	ones	one	NOUN
easat-4570	163	18	that	that	PRON
easat-4570	163	19	had	have	VERB
easat-4570	163	20	higher	high	ADJ
easat-4570	163	21	accuracy	accuracy	NOUN
easat-4570	163	22	on	on	ADP
easat-4570	163	23	the	the	DET
easat-4570	163	24	hard	hard	ADJ
easat-4570	163	25	to	to	PART
easat-4570	163	26	classify	classify	VERB
easat-4570	163	27	instances	instance	NOUN
easat-4570	163	28	.	.	PUNCT
easat-4570	164	1	neural	neural	ADJ
easat-4570	164	2	network	network	NOUN
easat-4570	164	3	[	[	X
easat-4570	164	4	70	70	NUM
easat-4570	164	5	]	]	X
easat-4570	164	6	uses	use	VERB
easat-4570	164	7	multiple	multiple	ADJ
easat-4570	164	8	layers	layer	NOUN
easat-4570	164	9	of	of	ADP
easat-4570	164	10	neurons	neuron	NOUN
easat-4570	164	11	in	in	ADP
easat-4570	164	12	order	order	NOUN
easat-4570	164	13	to	to	PART
easat-4570	164	14	extract	extract	VERB
easat-4570	164	15	complex	complex	NOUN
easat-4570	164	16	.	.	PUNCT
easat-4570	165	1	the	the	DET
easat-4570	165	2	neurons	neuron	NOUN
easat-4570	165	3	are	be	AUX
easat-4570	165	4	connected	connect	VERB
easat-4570	165	5	together	together	ADV
easat-4570	165	6	in	in	ADP
easat-4570	165	7	every	every	DET
easat-4570	165	8	successive	successive	ADJ
easat-4570	165	9	layer	layer	NOUN
easat-4570	165	10	,	,	PUNCT
easat-4570	165	11	where	where	SCONJ
easat-4570	165	12	each	each	DET
easat-4570	165	13	neuron	neuron	NOUN
easat-4570	165	14	-	-	PUNCT
easat-4570	165	15	connection	connection	NOUN
easat-4570	165	16	represents	represent	VERB
easat-4570	165	17	a	a	DET
easat-4570	165	18	feature	feature	NOUN
easat-4570	165	19	transformation	transformation	NOUN
easat-4570	165	20	.	.	PUNCT
easat-4570	166	1	the	the	DET
easat-4570	166	2	training	training	NOUN
easat-4570	166	3	process	process	NOUN
easat-4570	166	4	is	be	AUX
easat-4570	166	5	done	do	VERB
easat-4570	166	6	in	in	ADP
easat-4570	166	7	a	a	DET
easat-4570	166	8	hierarchical	hierarchical	ADJ
easat-4570	166	9	model	model	NOUN
easat-4570	166	10	,	,	PUNCT
easat-4570	166	11	which	which	PRON
easat-4570	166	12	often	often	ADV
easat-4570	166	13	gives	give	VERB
easat-4570	166	14	a	a	DET
easat-4570	166	15	high	high	ADJ
easat-4570	166	16	accuracy	accuracy	NOUN
easat-4570	166	17	,	,	PUNCT
easat-4570	166	18	to	to	ADP
easat-4570	166	19	the	the	DET
easat-4570	166	20	cost	cost	NOUN
easat-4570	166	21	of	of	ADP
easat-4570	166	22	computational	computational	ADJ
easat-4570	166	23	power	power	NOUN
easat-4570	166	24	.	.	PUNCT
easat-4570	167	1	they	they	PRON
easat-4570	167	2	are	be	AUX
easat-4570	167	3	used	use	VERB
easat-4570	167	4	for	for	ADP
easat-4570	167	5	various	various	ADJ
easat-4570	167	6	tasks	task	NOUN
easat-4570	167	7	in	in	ADP
easat-4570	167	8	image	image	NOUN
easat-4570	167	9	analysis	analysis	NOUN
easat-4570	167	10	.	.	PUNCT
easat-4570	168	1	naïve	naïve	ADJ
easat-4570	168	2	bayes	baye	NOUN
easat-4570	169	1	[	[	X
easat-4570	169	2	71	71	NUM
easat-4570	169	3	]	]	PUNCT
easat-4570	169	4	classifiers	classifier	NOUN
easat-4570	169	5	is	be	AUX
easat-4570	169	6	based	base	VERB
easat-4570	169	7	on	on	ADP
easat-4570	169	8	the	the	DET
easat-4570	169	9	bayes	bayes	PROPN
easat-4570	169	10	theorem	theorem	VERB
easat-4570	169	11	and	and	CCONJ
easat-4570	169	12	on	on	ADP
easat-4570	169	13	the	the	DET
easat-4570	169	14	estimation	estimation	NOUN
easat-4570	169	15	that	that	SCONJ
easat-4570	169	16	the	the	DET
easat-4570	169	17	features	feature	NOUN
easat-4570	169	18	extracted	extract	VERB
easat-4570	169	19	are	be	AUX
easat-4570	169	20	conditionally	conditionally	ADV
easat-4570	169	21	independent	independent	ADJ
easat-4570	169	22	from	from	ADP
easat-4570	169	23	the	the	DET
easat-4570	169	24	class	class	NOUN
easat-4570	169	25	label	label	NOUN
easat-4570	169	26	.	.	PUNCT
easat-4570	170	1	certainly	certainly	ADV
easat-4570	170	2	,	,	PUNCT
easat-4570	170	3	this	this	DET
easat-4570	170	4	assumption	assumption	NOUN
easat-4570	170	5	may	may	AUX
easat-4570	170	6	not	not	PART
easat-4570	170	7	be	be	AUX
easat-4570	170	8	true	true	ADJ
easat-4570	170	9	,	,	PUNCT
easat-4570	170	10	however	however	ADV
easat-4570	170	11	,	,	PUNCT
easat-4570	170	12	its	its	PRON
easat-4570	170	13	performance	performance	NOUN
easat-4570	170	14	is	be	AUX
easat-4570	170	15	quite	quite	ADV
easat-4570	170	16	effective	effective	ADJ
easat-4570	170	17	in	in	ADP
easat-4570	170	18	different	different	ADJ
easat-4570	170	19	applications	application	NOUN
easat-4570	170	20	.	.	PUNCT
easat-4570	171	1	the	the	DET
easat-4570	171	2	algorithm	algorithm	NOUN
easat-4570	171	3	calculates	calculate	VERB
easat-4570	171	4	the	the	DET
easat-4570	171	5	posterior	posterior	ADJ
easat-4570	171	6	probability	probability	NOUN
easat-4570	171	7	for	for	ADP
easat-4570	171	8	each	each	DET
easat-4570	171	9	class	class	NOUN
easat-4570	171	10	.	.	PUNCT
easat-4570	172	1	the	the	DET
easat-4570	172	2	class	class	NOUN
easat-4570	172	3	that	that	PRON
easat-4570	172	4	has	have	VERB
easat-4570	172	5	the	the	DET
easat-4570	172	6	highest	high	ADJ
easat-4570	172	7	value	value	NOUN
easat-4570	172	8	is	be	AUX
easat-4570	172	9	chosen	choose	VERB
easat-4570	172	10	to	to	PART
easat-4570	172	11	be	be	AUX
easat-4570	172	12	the	the	DET
easat-4570	172	13	final	final	ADJ
easat-4570	172	14	predicted	predict	VERB
easat-4570	172	15	class	class	NOUN
easat-4570	172	16	label	label	NOUN
easat-4570	172	17	.	.	PUNCT
easat-4570	173	1	this	this	DET
easat-4570	173	2	simple	simple	ADJ
easat-4570	173	3	,	,	PUNCT
easat-4570	173	4	yet	yet	CCONJ
easat-4570	173	5	effective	effective	ADJ
easat-4570	173	6	classifier	classifier	NOUN
easat-4570	173	7	has	have	AUX
easat-4570	173	8	proven	prove	VERB
easat-4570	173	9	to	to	PART
easat-4570	173	10	be	be	AUX
easat-4570	173	11	a	a	DET
easat-4570	173	12	good	good	ADJ
easat-4570	173	13	selection	selection	NOUN
easat-4570	173	14	for	for	ADP
easat-4570	173	15	datasets	dataset	NOUN
easat-4570	173	16	containing	contain	VERB
easat-4570	173	17	high	high	ADJ
easat-4570	173	18	number	number	NOUN
easat-4570	173	19	of	of	ADP
easat-4570	173	20	features	feature	NOUN
easat-4570	173	21	.	.	PUNCT
easat-4570	174	1	3.3	3.3	NUM
easat-4570	174	2	.	.	PUNCT
easat-4570	174	3	evaluation	evaluation	NOUN
easat-4570	174	4	metrics	metric	NOUN
easat-4570	174	5	the	the	DET
easat-4570	174	6	performance	performance	NOUN
easat-4570	174	7	of	of	ADP
easat-4570	174	8	each	each	DET
easat-4570	174	9	classifier	classifier	NOUN
easat-4570	174	10	during	during	ADP
easat-4570	174	11	the	the	DET
easat-4570	174	12	training	training	NOUN
easat-4570	174	13	process	process	NOUN
easat-4570	174	14	is	be	AUX
easat-4570	174	15	evaluated	evaluate	VERB
easat-4570	174	16	through	through	ADP
easat-4570	174	17	a	a	DET
easat-4570	174	18	5	5	NUM
easat-4570	174	19	-	-	ADJ
easat-4570	174	20	fold	fold	ADJ
easat-4570	174	21	and	and	CCONJ
easat-4570	174	22	10	10	NUM
easat-4570	174	23	fold	fold	PROPN
easat-4570	174	24	cross	cross	NOUN
easat-4570	174	25	validation	validation	NOUN
easat-4570	174	26	method	method	NOUN
easat-4570	174	27	.	.	PUNCT
easat-4570	175	1	this	this	DET
easat-4570	175	2	method	method	NOUN
easat-4570	175	3	divides	divide	VERB
easat-4570	175	4	the	the	DET
easat-4570	175	5	training	training	NOUN
easat-4570	175	6	dataset	dataset	VERB
easat-4570	175	7	into	into	ADP
easat-4570	175	8	5	5	NUM
easat-4570	175	9	or	or	CCONJ
easat-4570	175	10	10	10	NUM
easat-4570	175	11	subsets	subset	NOUN
easat-4570	175	12	.	.	PUNCT
easat-4570	176	1	then	then	ADV
easat-4570	176	2	,	,	PUNCT
easat-4570	176	3	it	it	PRON
easat-4570	176	4	randomly	randomly	ADV
easat-4570	176	5	selects	select	VERB
easat-4570	176	6	a	a	DET
easat-4570	176	7	subset	subset	NOUN
easat-4570	176	8	to	to	PART
easat-4570	176	9	be	be	AUX
easat-4570	176	10	the	the	DET
easat-4570	176	11	testing	testing	NOUN
easat-4570	176	12	set	set	NOUN
easat-4570	176	13	,	,	PUNCT
easat-4570	176	14	while	while	SCONJ
easat-4570	176	15	the	the	DET
easat-4570	176	16	rest	rest	NOUN
easat-4570	176	17	are	be	AUX
easat-4570	176	18	used	use	VERB
easat-4570	176	19	for	for	ADP
easat-4570	176	20	training	training	NOUN
easat-4570	176	21	.	.	PUNCT
easat-4570	177	1	several	several	ADJ
easat-4570	177	2	studies	study	NOUN
easat-4570	177	3	have	have	AUX
easat-4570	177	4	studied	study	VERB
easat-4570	177	5	the	the	DET
easat-4570	177	6	effect	effect	NOUN
easat-4570	177	7	of	of	ADP
easat-4570	177	8	the	the	DET
easat-4570	177	9	cross	cross	NOUN
easat-4570	177	10	validation	validation	NOUN
easat-4570	177	11	[	[	X
easat-4570	177	12	72	72	NUM
easat-4570	177	13	]	]	PUNCT
easat-4570	177	14	and	and	CCONJ
easat-4570	177	15	there	there	PRON
easat-4570	177	16	are	be	VERB
easat-4570	177	17	reports	report	NOUN
easat-4570	177	18	that	that	SCONJ
easat-4570	177	19	there	there	PRON
easat-4570	177	20	are	be	VERB
easat-4570	177	21	optimal	optimal	ADJ
easat-4570	177	22	values	value	NOUN
easat-4570	177	23	for	for	ADP
easat-4570	177	24	k	k	PROPN
easat-4570	177	25	in	in	ADP
easat-4570	177	26	the	the	DET
easat-4570	177	27	k	k	ADJ
easat-4570	177	28	-	-	ADJ
easat-4570	177	29	fold	fold	ADJ
easat-4570	177	30	cross	cross	NOUN
easat-4570	177	31	validation	validation	NOUN
easat-4570	177	32	that	that	PRON
easat-4570	177	33	directly	directly	ADV
easat-4570	177	34	affect	affect	VERB
easat-4570	177	35	the	the	DET
easat-4570	177	36	accuracy	accuracy	NOUN
easat-4570	178	1	[	[	X
easat-4570	178	2	73	73	NUM
easat-4570	178	3	]	]	PUNCT
easat-4570	178	4	.	.	PUNCT
easat-4570	179	1	nevertheless	nevertheless	ADV
easat-4570	179	2	,	,	PUNCT
easat-4570	179	3	cross	cross	VERB
easat-4570	179	4	validation	validation	NOUN
easat-4570	179	5	method	method	NOUN
easat-4570	179	6	ensures	ensure	VERB
easat-4570	179	7	that	that	SCONJ
easat-4570	179	8	each	each	DET
easat-4570	179	9	subset	subset	NOUN
easat-4570	179	10	of	of	ADP
easat-4570	179	11	the	the	DET
easat-4570	179	12	data	datum	NOUN
easat-4570	179	13	is	be	AUX
easat-4570	179	14	used	use	VERB
easat-4570	179	15	both	both	PRON
easat-4570	179	16	as	as	ADP
easat-4570	179	17	a	a	DET
easat-4570	179	18	training	training	NOUN
easat-4570	179	19	/	/	SYM
easat-4570	179	20	testing	testing	NOUN
easat-4570	179	21	set	set	NOUN
easat-4570	179	22	,	,	PUNCT
easat-4570	179	23	making	make	VERB
easat-4570	179	24	it	it	PRON
easat-4570	179	25	very	very	ADV
easat-4570	179	26	robust	robust	ADJ
easat-4570	179	27	and	and	CCONJ
easat-4570	179	28	providing	provide	VERB
easat-4570	179	29	more	more	ADV
easat-4570	179	30	reliable	reliable	ADJ
easat-4570	179	31	information	information	NOUN
easat-4570	179	32	.	.	PUNCT
easat-4570	180	1	during	during	ADP
easat-4570	180	2	the	the	DET
easat-4570	180	3	testing	testing	NOUN
easat-4570	180	4	process	process	NOUN
easat-4570	180	5	,	,	PUNCT
easat-4570	180	6	a	a	DET
easat-4570	180	7	blind	blind	ADJ
easat-4570	180	8	dataset	dataset	NOUN
easat-4570	180	9	is	be	AUX
easat-4570	180	10	used	use	VERB
easat-4570	180	11	to	to	PART
easat-4570	180	12	make	make	VERB
easat-4570	180	13	sure	sure	ADJ
easat-4570	180	14	to	to	PART
easat-4570	180	15	check	check	VERB
easat-4570	180	16	how	how	SCONJ
easat-4570	180	17	the	the	DET
easat-4570	180	18	classifiers	classifier	NOUN
easat-4570	180	19	perform	perform	VERB
easat-4570	180	20	in	in	ADP
easat-4570	180	21	unseen	unseen	ADJ
easat-4570	180	22	data	datum	NOUN
easat-4570	180	23	.	.	PUNCT
easat-4570	181	1	the	the	DET
easat-4570	181	2	performance	performance	NOUN
easat-4570	181	3	evaluation	evaluation	NOUN
easat-4570	181	4	metrics	metric	NOUN
easat-4570	181	5	that	that	PRON
easat-4570	181	6	are	be	AUX
easat-4570	181	7	used	use	VERB
easat-4570	181	8	are	be	AUX
easat-4570	181	9	accuracy	accuracy	NOUN
easat-4570	181	10	,	,	PUNCT
easat-4570	181	11	precision	precision	NOUN
easat-4570	181	12	,	,	PUNCT
easat-4570	181	13	recall	recall	NOUN
easat-4570	181	14	(	(	PUNCT
easat-4570	181	15	sensitivity	sensitivity	NOUN
easat-4570	181	16	)	)	PUNCT
easat-4570	181	17	,	,	PUNCT
easat-4570	181	18	f1	f1	NOUN
easat-4570	181	19	score	score	NOUN
easat-4570	181	20	,	,	PUNCT
easat-4570	181	21	area	area	NOUN
easat-4570	181	22	under	under	ADP
easat-4570	181	23	the	the	DET
easat-4570	181	24	curve	curve	NOUN
easat-4570	181	25	(	(	PUNCT
easat-4570	181	26	auc	auc	NOUN
easat-4570	181	27	)	)	PUNCT
easat-4570	181	28	,	,	PUNCT
easat-4570	181	29	and	and	CCONJ
easat-4570	182	1	mcc	mcc	PROPN
easat-4570	182	2	.	.	PROPN
easat-4570	182	3	accuracy	accuracy	NOUN
easat-4570	182	4	(	(	PUNCT
easat-4570	182	5	1	1	X
easat-4570	182	6	)	)	PUNCT
easat-4570	182	7	is	be	AUX
easat-4570	182	8	calculated	calculate	VERB
easat-4570	182	9	as	as	ADP
easat-4570	182	10	the	the	DET
easat-4570	182	11	ratio	ratio	NOUN
easat-4570	182	12	of	of	ADP
easat-4570	182	13	the	the	DET
easat-4570	182	14	correctly	correctly	ADV
easat-4570	182	15	classified	classified	ADJ
easat-4570	182	16	instances	instance	NOUN
easat-4570	182	17	or	or	CCONJ
easat-4570	182	18	object	object	VERB
easat-4570	182	19	over	over	ADP
easat-4570	182	20	the	the	DET
easat-4570	182	21	whole	whole	ADJ
easat-4570	182	22	dataset	dataset	NOUN
easat-4570	182	23	.	.	PUNCT
easat-4570	183	1	although	although	SCONJ
easat-4570	183	2	it	it	PRON
easat-4570	183	3	is	be	AUX
easat-4570	183	4	a	a	DET
easat-4570	183	5	fundamental	fundamental	ADJ
easat-4570	183	6	metric	metric	NOUN
easat-4570	183	7	,	,	PUNCT
easat-4570	183	8	it	it	PRON
easat-4570	183	9	may	may	AUX
easat-4570	183	10	not	not	PART
easat-4570	183	11	be	be	AUX
easat-4570	183	12	the	the	DET
easat-4570	183	13	best	good	ADJ
easat-4570	183	14	indicator	indicator	NOUN
easat-4570	183	15	for	for	ADP
easat-4570	183	16	imbalanced	imbalanced	ADJ
easat-4570	183	17	datasets	dataset	NOUN
easat-4570	183	18	,	,	PUNCT
easat-4570	183	19	where	where	SCONJ
easat-4570	183	20	a	a	DET
easat-4570	183	21	dominant	dominant	ADJ
easat-4570	183	22	class	class	NOUN
easat-4570	183	23	can	can	AUX
easat-4570	183	24	disproportionately	disproportionately	ADV
easat-4570	183	25	influence	influence	VERB
easat-4570	183	26	the	the	DET
easat-4570	183	27	results	result	NOUN
easat-4570	183	28	.	.	PUNCT
easat-4570	184	1	𝐴𝑐𝑐𝑢𝑟𝑎𝑐𝑦	𝐴𝑐𝑐𝑢𝑟𝑎𝑐𝑦	PROPN
easat-4570	184	2	=	=	PROPN
easat-4570	184	3	𝑇𝑟𝑢𝑒	𝑇𝑟𝑢𝑒	PROPN
easat-4570	184	4	𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠	𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠	PROPN
easat-4570	184	5	+	+	CCONJ
easat-4570	184	6	𝑇𝑟𝑢𝑒	𝑇𝑟𝑢𝑒	PROPN
easat-4570	184	7	𝑁𝑒𝑔𝑎𝑡𝑖𝑣𝑒𝑠	𝑁𝑒𝑔𝑎𝑡𝑖𝑣𝑒𝑠	PROPN
easat-4570	184	8	𝑇𝑜𝑡𝑎𝑙	𝑇𝑜𝑡𝑎𝑙	PROPN
easat-4570	184	9	𝑁𝑢𝑚𝑏𝑒𝑟	𝑁𝑢𝑚𝑏𝑒𝑟	PROPN
easat-4570	184	10	𝑜𝑓	𝑜𝑓	ADP
easat-4570	184	11	𝑆𝑎𝑚𝑝𝑙𝑒𝑠	𝑆𝑎𝑚𝑝𝑙𝑒𝑠	PROPN
easat-4570	184	12	(	(	PUNCT
easat-4570	184	13	1	1	NUM
easat-4570	184	14	)	)	PUNCT
easat-4570	184	15	precision	precision	NOUN
easat-4570	184	16	(	(	PUNCT
easat-4570	184	17	2	2	X
easat-4570	184	18	)	)	PUNCT
easat-4570	184	19	evaluates	evaluate	VERB
easat-4570	184	20	the	the	DET
easat-4570	184	21	classifier	classifier	NOUN
easat-4570	184	22	’s	’s	PART
easat-4570	184	23	ability	ability	NOUN
easat-4570	184	24	to	to	PART
easat-4570	184	25	avoid	avoid	VERB
easat-4570	184	26	false	false	ADJ
easat-4570	184	27	positives	positive	NOUN
easat-4570	184	28	.	.	PUNCT
easat-4570	185	1	it	it	PRON
easat-4570	185	2	focuses	focus	VERB
easat-4570	185	3	on	on	ADP
easat-4570	185	4	the	the	DET
easat-4570	185	5	proportion	proportion	NOUN
easat-4570	185	6	of	of	ADP
easat-4570	185	7	the	the	DET
easat-4570	185	8	true	true	ADJ
easat-4570	185	9	positive	positive	ADJ
easat-4570	185	10	predictions	prediction	NOUN
easat-4570	185	11	relative	relative	ADJ
easat-4570	185	12	to	to	ADP
easat-4570	185	13	all	all	DET
easat-4570	185	14	positive	positive	ADJ
easat-4570	185	15	predictions	prediction	NOUN
easat-4570	185	16	made	make	VERB
easat-4570	185	17	by	by	ADP
easat-4570	185	18	the	the	DET
easat-4570	185	19	model	model	NOUN
easat-4570	185	20	.	.	PUNCT
easat-4570	186	1	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	PROPN
easat-4570	186	2	=	=	SYM
easat-4570	186	3	𝑇𝑟𝑢𝑒	𝑇𝑟𝑢𝑒	PROPN
easat-4570	186	4	𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠	𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠	PROPN
easat-4570	186	5	𝑇𝑟𝑢𝑒	𝑇𝑟𝑢𝑒	PROPN
easat-4570	186	6	𝑝𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠	𝑝𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠	VERB
easat-4570	186	7	+	+	PUNCT
easat-4570	186	8	𝐹𝑎𝑙𝑠𝑒	𝐹𝑎𝑙𝑠𝑒	PROPN
easat-4570	186	9	𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠	𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠	PROPN
easat-4570	186	10	(	(	PUNCT
easat-4570	186	11	2	2	NUM
easat-4570	186	12	)	)	PUNCT
easat-4570	186	13	recall	recall	NOUN
easat-4570	186	14	(	(	PUNCT
easat-4570	186	15	sensitivity	sensitivity	NOUN
easat-4570	186	16	)	)	PUNCT
easat-4570	186	17	(	(	PUNCT
easat-4570	186	18	3	3	X
easat-4570	186	19	)	)	PUNCT
easat-4570	186	20	assesses	assess	VERB
easat-4570	186	21	the	the	DET
easat-4570	186	22	classifier	classifier	NOUN
easat-4570	186	23	’s	’s	PART
easat-4570	186	24	ability	ability	NOUN
easat-4570	186	25	to	to	PART
easat-4570	186	26	identify	identify	VERB
easat-4570	186	27	true	true	ADJ
easat-4570	186	28	positives	positive	NOUN
easat-4570	186	29	.	.	PUNCT
easat-4570	187	1	it	it	PRON
easat-4570	187	2	is	be	AUX
easat-4570	187	3	the	the	DET
easat-4570	187	4	proportion	proportion	NOUN
easat-4570	187	5	of	of	ADP
easat-4570	187	6	true	true	ADJ
easat-4570	187	7	positive	positive	ADJ
easat-4570	187	8	predictions	prediction	NOUN
easat-4570	187	9	relative	relative	ADJ
easat-4570	187	10	to	to	ADP
easat-4570	187	11	all	all	DET
easat-4570	187	12	actual	actual	ADJ
easat-4570	187	13	positives	positive	NOUN
easat-4570	187	14	in	in	ADP
easat-4570	187	15	the	the	DET
easat-4570	187	16	dataset	dataset	NOUN
easat-4570	187	17	.	.	PUNCT
easat-4570	188	1	𝑅𝑒𝑐𝑎𝑙𝑙	𝑅𝑒𝑐𝑎𝑙𝑙	PROPN
easat-4570	188	2	=	=	SYM
easat-4570	188	3	𝑇𝑟𝑢𝑒	𝑇𝑟𝑢𝑒	PROPN
easat-4570	188	4	𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠	𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠	PROPN
easat-4570	188	5	𝑇𝑟𝑢𝑒	𝑇𝑟𝑢𝑒	PROPN
easat-4570	188	6	𝑝𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠	𝑝𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠	VERB
easat-4570	188	7	+	+	PUNCT
easat-4570	188	8	𝐹𝑎𝑙𝑠𝑒	𝐹𝑎𝑙𝑠𝑒	PROPN
easat-4570	188	9	𝑁𝑒𝑔𝑎𝑡𝑖𝑣𝑒𝑠	𝑁𝑒𝑔𝑎𝑡𝑖𝑣𝑒𝑠	PROPN
easat-4570	188	10	(	(	PUNCT
easat-4570	188	11	3	3	X
easat-4570	188	12	)	)	PUNCT
easat-4570	188	13	f1	f1	NOUN
easat-4570	188	14	score	score	NOUN
easat-4570	188	15	(	(	PUNCT
easat-4570	188	16	4	4	X
easat-4570	188	17	)	)	PUNCT
easat-4570	188	18	balances	balance	VERB
easat-4570	188	19	precision	precision	NOUN
easat-4570	188	20	and	and	CCONJ
easat-4570	188	21	recall	recall	NOUN
easat-4570	188	22	,	,	PUNCT
easat-4570	188	23	since	since	SCONJ
easat-4570	188	24	it	it	PRON
easat-4570	188	25	is	be	AUX
easat-4570	188	26	the	the	DET
easat-4570	188	27	harmonic	harmonic	ADJ
easat-4570	188	28	mean	mean	NOUN
easat-4570	188	29	of	of	ADP
easat-4570	188	30	precision	precision	NOUN
easat-4570	188	31	and	and	CCONJ
easat-4570	188	32	recall	recall	NOUN
easat-4570	188	33	.	.	PUNCT
easat-4570	189	1	it	it	PRON
easat-4570	189	2	is	be	AUX
easat-4570	189	3	particularly	particularly	ADV
easat-4570	189	4	useful	useful	ADJ
easat-4570	189	5	when	when	SCONJ
easat-4570	189	6	there	there	PRON
easat-4570	189	7	is	be	VERB
easat-4570	189	8	an	an	DET
easat-4570	189	9	imbalance	imbalance	NOUN
easat-4570	189	10	between	between	ADP
easat-4570	189	11	precision	precision	NOUN
easat-4570	189	12	and	and	CCONJ
easat-4570	189	13	recall	recall	NOUN
easat-4570	189	14	,	,	PUNCT
easat-4570	189	15	as	as	SCONJ
easat-4570	189	16	it	it	PRON
easat-4570	189	17	provides	provide	VERB
easat-4570	189	18	a	a	DET
easat-4570	189	19	single	single	ADJ
easat-4570	189	20	measure	measure	NOUN
easat-4570	189	21	of	of	ADP
easat-4570	189	22	performance	performance	NOUN
easat-4570	189	23	that	that	PRON
easat-4570	189	24	considers	consider	VERB
easat-4570	189	25	both	both	DET
easat-4570	189	26	false	false	ADJ
easat-4570	189	27	positives	positive	NOUN
easat-4570	189	28	and	and	CCONJ
easat-4570	189	29	false	false	ADJ
easat-4570	189	30	negatives	negative	NOUN
easat-4570	189	31	.	.	PUNCT
easat-4570	190	1	690	690	NUM
easat-4570	190	2	edelweiss	edelweiss	PROPN
easat-4570	190	3	applied	apply	VERB
easat-4570	190	4	science	science	NOUN
easat-4570	190	5	and	and	CCONJ
easat-4570	190	6	technology	technology	NOUN
easat-4570	190	7	issn	issn	PROPN
easat-4570	190	8	:	:	PUNCT
easat-4570	190	9	2576	2576	NUM
easat-4570	190	10	-	-	SYM
easat-4570	190	11	8484	8484	NUM
easat-4570	190	12	vol	vol	NOUN
easat-4570	190	13	.	.	PROPN
easat-4570	191	1	9	9	NUM
easat-4570	191	2	,	,	PUNCT
easat-4570	191	3	no	no	INTJ
easat-4570	191	4	.	.	NOUN
easat-4570	191	5	2	2	NUM
easat-4570	191	6	:	:	PUNCT
easat-4570	191	7	682	682	NUM
easat-4570	191	8	-	-	SYM
easat-4570	191	9	707	707	NUM
easat-4570	191	10	,	,	PUNCT
easat-4570	191	11	2025	2025	NUM
easat-4570	191	12	doi	doi	NOUN
easat-4570	191	13	:	:	PUNCT
easat-4570	191	14	10.55214/25768484.v9i2.4570	10.55214/25768484.v9i2.4570	NUM
easat-4570	191	15	©	©	PROPN
easat-4570	191	16	2025	2025	NUM
easat-4570	191	17	by	by	ADP
easat-4570	191	18	the	the	DET
easat-4570	191	19	authors	author	NOUN
easat-4570	191	20	;	;	PUNCT
easat-4570	191	21	licensee	licensee	PROPN
easat-4570	191	22	learning	learning	PROPN
easat-4570	191	23	gate	gate	PROPN
easat-4570	191	24	𝐹1	𝐹1	PROPN
easat-4570	191	25	𝑠𝑐𝑜𝑟𝑒	𝑠𝑐𝑜𝑟𝑒	PROPN
easat-4570	191	26	=	=	SYM
easat-4570	191	27	2	2	NUM
easat-4570	191	28	∗	∗	NOUN
easat-4570	191	29	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	PROPN
easat-4570	191	30	∗	∗	NOUN
easat-4570	191	31	𝑅𝑒𝑐𝑎𝑙𝑙	𝑅𝑒𝑐𝑎𝑙𝑙	PROPN
easat-4570	191	32	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	PROPN
easat-4570	191	33	+	+	CCONJ
easat-4570	191	34	𝑅𝑒𝑐𝑎𝑙𝑙	𝑅𝑒𝑐𝑎𝑙𝑙	PROPN
easat-4570	191	35	(	(	PUNCT
easat-4570	191	36	4	4	NUM
easat-4570	191	37	)	)	PUNCT
easat-4570	191	38	the	the	DET
easat-4570	191	39	matthews	matthews	PROPN
easat-4570	191	40	correlation	correlation	NOUN
easat-4570	191	41	coefficient	coefficient	NOUN
easat-4570	191	42	(	(	PUNCT
easat-4570	191	43	mcc	mcc	NOUN
easat-4570	191	44	)	)	PUNCT
easat-4570	191	45	(	(	PUNCT
easat-4570	191	46	5	5	X
easat-4570	191	47	)	)	PUNCT
easat-4570	191	48	is	be	AUX
easat-4570	191	49	a	a	DET
easat-4570	191	50	robust	robust	ADJ
easat-4570	191	51	metric	metric	NOUN
easat-4570	191	52	that	that	PRON
easat-4570	191	53	can	can	AUX
easat-4570	191	54	handle	handle	VERB
easat-4570	191	55	imbalanced	imbalanced	ADJ
easat-4570	191	56	datasets	dataset	NOUN
easat-4570	191	57	,	,	PUNCT
easat-4570	191	58	with	with	ADP
easat-4570	191	59	values	value	NOUN
easat-4570	191	60	ranging	range	VERB
easat-4570	191	61	from	from	ADP
easat-4570	191	62	-1	-1	ADV
easat-4570	191	63	to	to	ADP
easat-4570	191	64	+1	+1	PROPN
easat-4570	191	65	,	,	PUNCT
easat-4570	191	66	where	where	SCONJ
easat-4570	191	67	+1	+1	PROPN
easat-4570	191	68	indicates	indicate	VERB
easat-4570	191	69	perfect	perfect	ADJ
easat-4570	191	70	predictions	prediction	NOUN
easat-4570	191	71	and	and	CCONJ
easat-4570	191	72	-1	-1	ADP
easat-4570	191	73	shows	show	VERB
easat-4570	191	74	total	total	ADJ
easat-4570	191	75	disagreement	disagreement	NOUN
easat-4570	191	76	.	.	PUNCT
easat-4570	192	1	the	the	DET
easat-4570	192	2	value	value	NOUN
easat-4570	192	3	0	0	NUM
easat-4570	192	4	signifies	signify	VERB
easat-4570	192	5	a	a	DET
easat-4570	192	6	random	random	ADJ
easat-4570	192	7	prediction	prediction	NOUN
easat-4570	192	8	.	.	PUNCT
easat-4570	193	1	due	due	ADP
easat-4570	193	2	to	to	ADP
easat-4570	193	3	its	its	PRON
easat-4570	193	4	robustness	robustness	NOUN
easat-4570	193	5	and	and	CCONJ
easat-4570	193	6	interpretability	interpretability	NOUN
easat-4570	193	7	,	,	PUNCT
easat-4570	193	8	it	it	PRON
easat-4570	193	9	can	can	AUX
easat-4570	193	10	be	be	AUX
easat-4570	193	11	applied	apply	VERB
easat-4570	193	12	in	in	ADP
easat-4570	193	13	different	different	ADJ
easat-4570	193	14	classification	classification	NOUN
easat-4570	193	15	problems	problem	NOUN
easat-4570	193	16	.	.	PUNCT
easat-4570	194	1	𝑀𝐶𝐶	𝑀𝐶𝐶	PROPN
easat-4570	195	1	=	=	SYM
easat-4570	195	2	𝑇𝑟𝑢𝑒	𝑇𝑟𝑢𝑒	PROPN
easat-4570	195	3	𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠	𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠	PROPN
easat-4570	195	4	∗	∗	VERB
easat-4570	195	5	𝑇𝑟𝑢𝑒	𝑇𝑟𝑢𝑒	PROPN
easat-4570	195	6	𝑁𝑒𝑔𝑎𝑡𝑖𝑣𝑒𝑠	𝑁𝑒𝑔𝑎𝑡𝑖𝑣𝑒𝑠	PROPN
easat-4570	195	7	−	−	PROPN
easat-4570	195	8	𝐹𝑎𝑙𝑠𝑒	𝐹𝑎𝑙𝑠𝑒	PROPN
easat-4570	195	9	𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠	𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠	PROPN
easat-4570	195	10	∗	∗	VERB
easat-4570	195	11	𝐹𝑎𝑙𝑠𝑒	𝐹𝑎𝑙𝑠𝑒	PROPN
easat-4570	195	12	𝑁𝑒𝑔𝑎𝑡𝑖𝑣𝑒𝑠	𝑁𝑒𝑔𝑎𝑡𝑖𝑣𝑒𝑠	PROPN
easat-4570	195	13	√𝐴	√𝐴	NOUN
easat-4570	195	14	∗	∗	NOUN
easat-4570	195	15	𝐵	𝐵	PROPN
easat-4570	195	16	∗	∗	NOUN
easat-4570	195	17	𝐶	𝐶	PROPN
easat-4570	195	18	∗	∗	NOUN
easat-4570	195	19	𝐷	𝐷	PROPN
easat-4570	195	20	(	(	PUNCT
easat-4570	195	21	5	5	NUM
easat-4570	195	22	)	)	PUNCT
easat-4570	195	23	𝐴	𝐴	NOUN
easat-4570	195	24	=	=	SYM
easat-4570	195	25	𝑇𝑟𝑢𝑒	𝑇𝑟𝑢𝑒	PROPN
easat-4570	195	26	𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠	𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠	PROPN
easat-4570	195	27	+	+	PROPN
easat-4570	195	28	𝐹𝑎𝑙𝑠𝑒	𝐹𝑎𝑙𝑠𝑒	PROPN
easat-4570	195	29	𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠	𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠	PROPN
easat-4570	195	30	𝐵	𝐵	NOUN
easat-4570	195	31	=	=	PUNCT
easat-4570	195	32	𝑇𝑟𝑢𝑒	𝑇𝑟𝑢𝑒	PROPN
easat-4570	195	33	𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠	𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠	PROPN
easat-4570	195	34	+	+	PROPN
easat-4570	195	35	𝐹𝑎𝑙𝑠𝑒	𝐹𝑎𝑙𝑠𝑒	PROPN
easat-4570	195	36	𝑁𝑒𝑔𝑎𝑡𝑖𝑣𝑒𝑠	𝑁𝑒𝑔𝑎𝑡𝑖𝑣𝑒𝑠	PROPN
easat-4570	195	37	𝐶	𝐶	PROPN
easat-4570	195	38	=	=	SYM
easat-4570	195	39	𝑇𝑟𝑢𝑒	𝑇𝑟𝑢𝑒	PROPN
easat-4570	195	40	𝑁𝑒𝑔𝑎𝑡𝑖𝑣𝑒𝑠	𝑁𝑒𝑔𝑎𝑡𝑖𝑣𝑒𝑠	PROPN
easat-4570	195	41	+	+	CCONJ
easat-4570	195	42	𝐹𝑎𝑙𝑠𝑒	𝐹𝑎𝑙𝑠𝑒	PROPN
easat-4570	195	43	𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠	𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠	PROPN
easat-4570	195	44	𝐷	𝐷	PROPN
easat-4570	195	45	=	=	SYM
easat-4570	195	46	𝑇𝑟𝑢𝑒	𝑇𝑟𝑢𝑒	PROPN
easat-4570	195	47	𝑁𝑒𝑔𝑎𝑡𝑖𝑣𝑒𝑠	𝑁𝑒𝑔𝑎𝑡𝑖𝑣𝑒𝑠	PROPN
easat-4570	195	48	+	+	CCONJ
easat-4570	195	49	𝐹𝑎𝑙𝑠𝑒	𝐹𝑎𝑙𝑠𝑒	PROPN
easat-4570	195	50	𝑁𝑒𝑔𝑎𝑡𝑖𝑣𝑒𝑠	𝑁𝑒𝑔𝑎𝑡𝑖𝑣𝑒𝑠	PROPN
easat-4570	195	51	area	area	NOUN
easat-4570	195	52	under	under	ADP
easat-4570	195	53	the	the	DET
easat-4570	195	54	curve	curve	NOUN
easat-4570	195	55	(	(	PUNCT
easat-4570	195	56	auc	auc	NOUN
easat-4570	195	57	)	)	PUNCT
easat-4570	195	58	measures	measure	VERB
easat-4570	195	59	the	the	DET
easat-4570	195	60	classifier	classifier	NOUN
easat-4570	195	61	’s	’s	PART
easat-4570	195	62	ability	ability	NOUN
easat-4570	195	63	to	to	PART
easat-4570	195	64	distinguish	distinguish	VERB
easat-4570	195	65	between	between	ADP
easat-4570	195	66	classes	class	NOUN
easat-4570	195	67	across	across	ADP
easat-4570	195	68	different	different	ADJ
easat-4570	195	69	thresholds	threshold	NOUN
easat-4570	195	70	.	.	PUNCT
easat-4570	196	1	auc	auc	VERB
easat-4570	196	2	ranges	range	NOUN
easat-4570	196	3	from	from	ADP
easat-4570	196	4	0.5	0.5	NUM
easat-4570	196	5	(	(	PUNCT
easat-4570	196	6	random	random	ADJ
easat-4570	196	7	guessing	guessing	NOUN
easat-4570	196	8	)	)	PUNCT
easat-4570	196	9	to	to	ADP
easat-4570	196	10	1.0	1.0	NUM
easat-4570	196	11	(	(	PUNCT
easat-4570	196	12	perfect	perfect	ADJ
easat-4570	196	13	classification	classification	NOUN
easat-4570	196	14	)	)	PUNCT
easat-4570	196	15	.	.	PUNCT
easat-4570	197	1	a	a	DET
easat-4570	197	2	summary	summary	NOUN
easat-4570	197	3	of	of	ADP
easat-4570	197	4	all	all	DET
easat-4570	197	5	parameters	parameter	NOUN
easat-4570	197	6	involved	involve	VERB
easat-4570	197	7	in	in	ADP
easat-4570	197	8	this	this	DET
easat-4570	197	9	study	study	NOUN
easat-4570	197	10	is	be	AUX
easat-4570	197	11	shown	show	VERB
easat-4570	197	12	in	in	ADP
easat-4570	197	13	table	table	NOUN
easat-4570	197	14	1	1	NUM
easat-4570	197	15	,	,	PUNCT
easat-4570	197	16	together	together	ADV
easat-4570	197	17	with	with	ADP
easat-4570	197	18	their	their	PRON
easat-4570	197	19	corresponding	correspond	VERB
easat-4570	197	20	abbreviations	abbreviation	NOUN
easat-4570	197	21	691	691	NUM
easat-4570	197	22	edelweiss	edelweiss	PROPN
easat-4570	197	23	applied	apply	VERB
easat-4570	197	24	science	science	NOUN
easat-4570	197	25	and	and	CCONJ
easat-4570	197	26	technology	technology	NOUN
easat-4570	197	27	issn	issn	PROPN
easat-4570	197	28	:	:	PUNCT
easat-4570	197	29	2576	2576	NUM
easat-4570	197	30	-	-	SYM
easat-4570	197	31	8484	8484	NUM
easat-4570	197	32	vol	vol	NOUN
easat-4570	197	33	.	.	PROPN
easat-4570	198	1	9	9	NUM
easat-4570	198	2	,	,	PUNCT
easat-4570	198	3	no	no	INTJ
easat-4570	198	4	.	.	NOUN
easat-4570	198	5	2	2	NUM
easat-4570	198	6	:	:	PUNCT
easat-4570	198	7	682	682	NUM
easat-4570	198	8	-	-	SYM
easat-4570	198	9	707	707	NUM
easat-4570	198	10	,	,	PUNCT
easat-4570	198	11	2025	2025	NUM
easat-4570	198	12	doi	doi	NOUN
easat-4570	198	13	:	:	PUNCT
easat-4570	198	14	10.55214/25768484.v9i2.4570	10.55214/25768484.v9i2.4570	NUM
easat-4570	198	15	©	©	PROPN
easat-4570	198	16	2025	2025	NUM
easat-4570	198	17	by	by	ADP
easat-4570	198	18	the	the	DET
easat-4570	198	19	authors	author	NOUN
easat-4570	198	20	;	;	PUNCT
easat-4570	198	21	licensee	licensee	PROPN
easat-4570	198	22	learning	learn	VERB
easat-4570	198	23	gate	gate	NOUN
easat-4570	198	24	table	table	NOUN
easat-4570	198	25	1	1	NUM
easat-4570	198	26	.	.	PUNCT
easat-4570	199	1	summary	summary	NOUN
easat-4570	199	2	of	of	ADP
easat-4570	199	3	all	all	DET
easat-4570	199	4	the	the	DET
easat-4570	199	5	parameters	parameter	NOUN
easat-4570	199	6	of	of	ADP
easat-4570	199	7	this	this	DET
easat-4570	199	8	study	study	NOUN
easat-4570	199	9	with	with	ADP
easat-4570	199	10	their	their	PRON
easat-4570	199	11	abbreviations	abbreviation	NOUN
easat-4570	199	12	.	.	PUNCT
easat-4570	200	1	datasets	dataset	NOUN
easat-4570	200	2	name	name	NOUN
easat-4570	200	3	abbreviation	abbreviation	NOUN
easat-4570	200	4	dataset	dataset	VERB
easat-4570	200	5	1	1	NUM
easat-4570	200	6	d1	d1	NOUN
easat-4570	200	7	•	•	NOUN
easat-4570	200	8	total	total	ADJ
easat-4570	200	9	252	252	NUM
easat-4570	200	10	images	image	NOUN
easat-4570	200	11	•	•	ADP
easat-4570	200	12	84	84	NUM
easat-4570	200	13	per	per	ADP
easat-4570	200	14	cell	cell	NOUN
easat-4570	200	15	•	•	NOUN
easat-4570	200	16	size	size	NOUN
easat-4570	200	17	1024	1024	NUM
easat-4570	200	18	*	*	SYM
easat-4570	200	19	1280	1280	NUM
easat-4570	200	20	•	•	NOUN
easat-4570	200	21	training	train	VERB
easat-4570	200	22	168	168	NUM
easat-4570	200	23	images	image	NOUN
easat-4570	200	24	•	•	NOUN
easat-4570	200	25	testing	test	VERB
easat-4570	200	26	84	84	NUM
easat-4570	200	27	images	image	NOUN
easat-4570	200	28	dataset	dataset	VERB
easat-4570	200	29	2	2	NUM
easat-4570	200	30	d2	d2	NOUN
easat-4570	200	31	•	•	ADP
easat-4570	200	32	total	total	ADJ
easat-4570	200	33	4740	4740	NUM
easat-4570	200	34	images	image	NOUN
easat-4570	200	35	•	•	ADP
easat-4570	200	36	1580	1580	NUM
easat-4570	200	37	per	per	ADP
easat-4570	200	38	cell	cell	NOUN
easat-4570	200	39	•	•	NOUN
easat-4570	200	40	size	size	NOUN
easat-4570	200	41	256	256	NUM
easat-4570	200	42	x	x	SYM
easat-4570	200	43	256	256	NUM
easat-4570	200	44	•	•	NOUN
easat-4570	200	45	training	training	NOUN
easat-4570	200	46	:	:	PUNCT
easat-4570	200	47	3156	3156	NUM
easat-4570	200	48	images	image	NOUN
easat-4570	200	49	•	•	PRON
easat-4570	200	50	testing	testing	NOUN
easat-4570	200	51	:	:	PUNCT
easat-4570	200	52	1584	1584	NUM
easat-4570	200	53	images	image	NOUN
easat-4570	200	54	butterworth	butterworth	NOUN
easat-4570	200	55	filters	filter	NOUN
easat-4570	200	56	butterworth	butterworth	PROPN
easat-4570	200	57	filter	filter	NOUN
easat-4570	200	58	1	1	NUM
easat-4570	200	59	bw1	bw1	NOUN
easat-4570	200	60	•	•	NUM
easat-4570	200	61	lowpass	lowpass	NOUN
easat-4570	200	62	:	:	PUNCT
easat-4570	200	63	30	30	NUM
easat-4570	200	64	•	•	NUM
easat-4570	200	65	highpass:120	highpass:120	NOUN
easat-4570	200	66	•	•	NUM
easat-4570	200	67	order	order	NOUN
easat-4570	200	68	:	:	PUNCT
easat-4570	200	69	4	4	NUM
easat-4570	200	70	butterworth	butterworth	NOUN
easat-4570	200	71	filter	filter	NOUN
easat-4570	200	72	2	2	NUM
easat-4570	200	73	bw2	bw2	PROPN
easat-4570	200	74	•	•	NUM
easat-4570	200	75	lowpass	lowpass	NOUN
easat-4570	200	76	:	:	PUNCT
easat-4570	200	77	30	30	NUM
easat-4570	200	78	•	•	NUM
easat-4570	200	79	highpass:150	highpass:150	NOUN
easat-4570	200	80	•	•	NOUN
easat-4570	200	81	order	order	NOUN
easat-4570	200	82	:	:	PUNCT
easat-4570	200	83	4	4	NUM
easat-4570	200	84	butterworth	butterworth	NOUN
easat-4570	200	85	filter	filter	NOUN
easat-4570	200	86	3	3	NUM
easat-4570	200	87	bw3	bw3	PROPN
easat-4570	200	88	•	•	NOUN
easat-4570	200	89	lowpass	lowpass	NOUN
easat-4570	200	90	:	:	PUNCT
easat-4570	200	91	50	50	NUM
easat-4570	200	92	•	•	NUM
easat-4570	200	93	highpass:150	highpass:150	NOUN
easat-4570	200	94	•	•	NOUN
easat-4570	200	95	order	order	NOUN
easat-4570	200	96	:	:	PUNCT
easat-4570	200	97	4	4	NUM
easat-4570	200	98	feature	feature	NOUN
easat-4570	200	99	extraction	extraction	NOUN
easat-4570	200	100	name	name	NOUN
easat-4570	200	101	abbreviation	abbreviation	NOUN
easat-4570	200	102	inception	inception	PROPN
easat-4570	200	103	v3	v3	PROPN
easat-4570	200	104	iv3	iv3	PROPN
easat-4570	200	105	nr	nr	PROPN
easat-4570	200	106	of	of	ADP
easat-4570	200	107	features	feature	NOUN
easat-4570	200	108	:	:	PUNCT
easat-4570	200	109	2048	2048	NUM
easat-4570	200	110	squeezenet	squeezenet	NOUN
easat-4570	200	111	sn	sn	PROPN
easat-4570	200	112	nr	nr	PROPN
easat-4570	200	113	of	of	ADP
easat-4570	200	114	features	feature	NOUN
easat-4570	200	115	:	:	PUNCT
easat-4570	200	116	1000	1000	NUM
easat-4570	200	117	vgg-16	vgg-16	NUM
easat-4570	200	118	vgg	vgg	NOUN
easat-4570	200	119	nr	nr	PROPN
easat-4570	200	120	of	of	ADP
easat-4570	200	121	features	feature	NOUN
easat-4570	200	122	:	:	PUNCT
easat-4570	200	123	4096	4096	NUM
easat-4570	200	124	classifiers	classifier	NOUN
easat-4570	200	125	k	k	NOUN
easat-4570	200	126	-	-	PUNCT
easat-4570	200	127	nearest	near	ADJ
easat-4570	200	128	neighbor	neighbor	NOUN
easat-4570	200	129	knn	knn	PROPN
easat-4570	200	130	decision	decision	NOUN
easat-4570	200	131	tree	tree	NOUN
easat-4570	200	132	dt	dt	X
easat-4570	200	133	random	random	ADJ
easat-4570	200	134	forest	forest	NOUN
easat-4570	200	135	rf	rf	VERB
easat-4570	200	136	adaboost	adaboost	ADJ
easat-4570	200	137	ab	ab	PROPN
easat-4570	200	138	neural	neural	ADJ
easat-4570	200	139	network	network	PROPN
easat-4570	200	140	nn	nn	PROPN
easat-4570	200	141	naïve	naïve	PROPN
easat-4570	200	142	bayes	bayes	PROPN
easat-4570	200	143	nb	nb	PROPN
easat-4570	201	1	evaluation	evaluation	NOUN
easat-4570	201	2	metrics	metric	NOUN
easat-4570	201	3	precision	precision	NOUN
easat-4570	201	4	prec	prec	NOUN
easat-4570	201	5	classification	classification	NOUN
easat-4570	201	6	accuracy	accuracy	NOUN
easat-4570	201	7	ca	can	AUX
easat-4570	201	8	recall	recall	VERB
easat-4570	201	9	rec	rec	PROPN
easat-4570	201	10	area	area	NOUN
easat-4570	201	11	under	under	ADP
easat-4570	201	12	curve	curve	NOUN
easat-4570	201	13	auc	auc	NOUN
easat-4570	201	14	f1	f1	PROPN
easat-4570	201	15	score	score	NOUN
easat-4570	201	16	f1	f1	PROPN
easat-4570	201	17	mathew	mathew	PROPN
easat-4570	201	18	correlation	correlation	NOUN
easat-4570	201	19	coefficient	coefficient	NOUN
easat-4570	201	20	mcc	mcc	PROPN
easat-4570	201	21	4	4	PROPN
easat-4570	201	22	.	.	PUNCT
easat-4570	201	23	results	result	VERB
easat-4570	201	24	4.1	4.1	NUM
easat-4570	201	25	.	.	PUNCT
easat-4570	202	1	dataset	dataset	NOUN
easat-4570	202	2	1	1	NUM
easat-4570	202	3	results	result	NOUN
easat-4570	202	4	below	below	ADV
easat-4570	202	5	are	be	AUX
easat-4570	202	6	shown	show	VERB
easat-4570	202	7	the	the	DET
easat-4570	202	8	overall	overall	ADJ
easat-4570	202	9	performance	performance	NOUN
easat-4570	202	10	comparison	comparison	NOUN
easat-4570	202	11	of	of	ADP
easat-4570	202	12	three	three	NUM
easat-4570	202	13	feature	feature	NOUN
easat-4570	202	14	extraction	extraction	NOUN
easat-4570	202	15	architectures	architecture	NOUN
easat-4570	202	16	—	—	PUNCT
easat-4570	202	17	inception	inception	PROPN
easat-4570	202	18	v3	v3	PROPN
easat-4570	202	19	(	(	PUNCT
easat-4570	202	20	iv3	iv3	PROPN
easat-4570	202	21	)	)	PUNCT
easat-4570	202	22	,	,	PUNCT
easat-4570	202	23	squeezenet	squeezenet	NOUN
easat-4570	202	24	(	(	PUNCT
easat-4570	202	25	sn	sn	PROPN
easat-4570	202	26	)	)	PUNCT
easat-4570	202	27	,	,	PUNCT
easat-4570	202	28	and	and	CCONJ
easat-4570	202	29	vgg-16	vgg-16	NOUN
easat-4570	202	30	—	—	PUNCT
easat-4570	202	31	combined	combine	VERB
easat-4570	202	32	with	with	ADP
easat-4570	202	33	six	six	NUM
easat-4570	202	34	classifiers	classifier	NOUN
easat-4570	202	35	(	(	PUNCT
easat-4570	202	36	knn	knn	PROPN
easat-4570	202	37	,	,	PUNCT
easat-4570	202	38	decision	decision	NOUN
easat-4570	202	39	tree	tree	NOUN
easat-4570	202	40	,	,	PUNCT
easat-4570	202	41	random	random	ADJ
easat-4570	202	42	forest	forest	NOUN
easat-4570	202	43	,	,	PUNCT
easat-4570	202	44	adaboost	adaboost	ADV
easat-4570	202	45	,	,	PUNCT
easat-4570	202	46	neural	neural	ADJ
easat-4570	202	47	network	network	NOUN
easat-4570	202	48	,	,	PUNCT
easat-4570	202	49	and	and	CCONJ
easat-4570	202	50	naïve	naïve	ADJ
easat-4570	202	51	bayes	baye	NOUN
easat-4570	202	52	)	)	PUNCT
easat-4570	202	53	for	for	ADP
easat-4570	202	54	the	the	DET
easat-4570	202	55	classification	classification	NOUN
easat-4570	202	56	of	of	ADP
easat-4570	202	57	three	three	NUM
easat-4570	202	58	different	different	ADJ
easat-4570	202	59	cell	cell	NOUN
easat-4570	202	60	types	type	NOUN
easat-4570	202	61	(	(	PUNCT
easat-4570	202	62	a549	a549	PROPN
easat-4570	202	63	,	,	PUNCT
easat-4570	202	64	balb	balb	VERB
easat-4570	202	65	3t3	3t3	NUM
easat-4570	202	66	,	,	PUNCT
easat-4570	202	67	thp1	thp1	PROPN
easat-4570	202	68	)	)	PUNCT
easat-4570	202	69	.	.	PUNCT
easat-4570	203	1	the	the	DET
easat-4570	203	2	results	result	NOUN
easat-4570	203	3	reported	report	VERB
easat-4570	203	4	in	in	ADP
easat-4570	203	5	table	table	NOUN
easat-4570	203	6	2	2	NUM
easat-4570	203	7	are	be	AUX
easat-4570	203	8	obtained	obtain	VERB
easat-4570	203	9	when	when	SCONJ
easat-4570	203	10	all	all	DET
easat-4570	203	11	features	feature	NOUN
easat-4570	203	12	are	be	AUX
easat-4570	203	13	used	use	VERB
easat-4570	203	14	in	in	ADP
easat-4570	203	15	the	the	DET
easat-4570	203	16	training	training	NOUN
easat-4570	203	17	and	and	CCONJ
easat-4570	203	18	testing	testing	NOUN
easat-4570	203	19	.	.	PUNCT
easat-4570	204	1	each	each	DET
easat-4570	204	2	classifier	classifier	NOUN
easat-4570	204	3	-	-	PUNCT
easat-4570	204	4	architecture	architecture	NOUN
easat-4570	204	5	pair	pair	NOUN
easat-4570	204	6	is	be	AUX
easat-4570	204	7	evaluated	evaluate	VERB
easat-4570	204	8	using	use	VERB
easat-4570	204	9	multiple	multiple	ADJ
easat-4570	204	10	performance	performance	NOUN
easat-4570	204	11	metrics	metric	NOUN
easat-4570	204	12	,	,	PUNCT
easat-4570	204	13	including	include	VERB
easat-4570	204	14	auc	auc	NOUN
easat-4570	204	15	,	,	PUNCT
easat-4570	204	16	ca	ca	NOUN
easat-4570	204	17	,	,	PUNCT
easat-4570	204	18	f1	f1	NOUN
easat-4570	204	19	score	score	NOUN
easat-4570	204	20	,	,	PUNCT
easat-4570	204	21	precision	precision	NOUN
easat-4570	204	22	(	(	PUNCT
easat-4570	204	23	prec	prec	PROPN
easat-4570	204	24	)	)	PUNCT
easat-4570	204	25	,	,	PUNCT
easat-4570	204	26	recall	recall	NOUN
easat-4570	204	27	(	(	PUNCT
easat-4570	204	28	rec	rec	NOUN
easat-4570	204	29	)	)	PUNCT
easat-4570	204	30	,	,	PUNCT
easat-4570	204	31	and	and	CCONJ
easat-4570	204	32	mcc	mcc	NOUN
easat-4570	204	33	,	,	PUNCT
easat-4570	204	34	under	under	ADP
easat-4570	204	35	three	three	NUM
easat-4570	204	36	validation	validation	NOUN
easat-4570	204	37	schemes	scheme	NOUN
easat-4570	204	38	(	(	PUNCT
easat-4570	204	39	5	5	NUM
easat-4570	204	40	-	-	NUM
easat-4570	204	41	fold	fold	ADJ
easat-4570	204	42	,	,	PUNCT
easat-4570	204	43	10	10	NUM
easat-4570	204	44	-	-	ADJ
easat-4570	204	45	fold	fold	ADJ
easat-4570	204	46	cross	cross	NOUN
easat-4570	204	47	-	-	NOUN
easat-4570	204	48	validation	validation	NOUN
easat-4570	204	49	)	)	PUNCT
easat-4570	204	50	and	and	CCONJ
easat-4570	204	51	an	an	DET
easat-4570	204	52	independent	independent	ADJ
easat-4570	204	53	test	test	NOUN
easat-4570	204	54	set	set	NOUN
easat-4570	204	55	.	.	PUNCT
easat-4570	205	1	this	this	DET
easat-4570	205	2	detailed	detailed	ADJ
easat-4570	205	3	evaluation	evaluation	NOUN
easat-4570	205	4	enables	enable	VERB
easat-4570	205	5	a	a	DET
easat-4570	205	6	robust	robust	ADJ
easat-4570	205	7	assessment	assessment	NOUN
easat-4570	205	8	of	of	ADP
easat-4570	205	9	both	both	CCONJ
easat-4570	205	10	the	the	DET
easat-4570	205	11	discriminative	discriminative	NOUN
easat-4570	205	12	power	power	NOUN
easat-4570	205	13	of	of	ADP
easat-4570	205	14	extracted	extract	VERB
easat-4570	205	15	features	feature	NOUN
easat-4570	205	16	and	and	CCONJ
easat-4570	205	17	the	the	DET
easat-4570	205	18	generalization	generalization	NOUN
easat-4570	205	19	ability	ability	NOUN
easat-4570	205	20	of	of	ADP
easat-4570	205	21	the	the	DET
easat-4570	205	22	employed	employ	VERB
easat-4570	205	23	classifiers	classifier	NOUN
easat-4570	205	24	.	.	PUNCT
easat-4570	206	1	high	high	ADJ
easat-4570	206	2	auc	auc	NOUN
easat-4570	206	3	values	value	NOUN
easat-4570	206	4	—	—	PUNCT
easat-4570	206	5	often	often	ADV
easat-4570	206	6	converging	converge	VERB
easat-4570	206	7	to	to	ADP
easat-4570	206	8	or	or	CCONJ
easat-4570	206	9	exceeding	exceed	VERB
easat-4570	206	10	692	692	NUM
easat-4570	206	11	edelweiss	edelweiss	PROPN
easat-4570	206	12	applied	apply	VERB
easat-4570	206	13	science	science	NOUN
easat-4570	206	14	and	and	CCONJ
easat-4570	206	15	technology	technology	NOUN
easat-4570	206	16	issn	issn	PROPN
easat-4570	206	17	:	:	PUNCT
easat-4570	206	18	2576	2576	NUM
easat-4570	206	19	-	-	SYM
easat-4570	206	20	8484	8484	NUM
easat-4570	206	21	vol	vol	NOUN
easat-4570	206	22	.	.	PROPN
easat-4570	207	1	9	9	NUM
easat-4570	207	2	,	,	PUNCT
easat-4570	207	3	no	no	INTJ
easat-4570	207	4	.	.	NOUN
easat-4570	207	5	2	2	NUM
easat-4570	207	6	:	:	PUNCT
easat-4570	207	7	682	682	NUM
easat-4570	207	8	-	-	SYM
easat-4570	207	9	707	707	NUM
easat-4570	207	10	,	,	PUNCT
easat-4570	207	11	2025	2025	NUM
easat-4570	207	12	doi	doi	NOUN
easat-4570	207	13	:	:	PUNCT
easat-4570	207	14	10.55214/25768484.v9i2.4570	10.55214/25768484.v9i2.4570	NUM
easat-4570	207	15	©	©	PROPN
easat-4570	207	16	2025	2025	NUM
easat-4570	207	17	by	by	ADP
easat-4570	207	18	the	the	DET
easat-4570	207	19	authors	author	NOUN
easat-4570	207	20	;	;	PUNCT
easat-4570	207	21	licensee	licensee	PROPN
easat-4570	207	22	learning	learning	NOUN
easat-4570	207	23	gate	gate	NOUN
easat-4570	207	24	0.99	0.99	NUM
easat-4570	207	25	—	—	PUNCT
easat-4570	207	26	suggest	suggest	VERB
easat-4570	207	27	excellent	excellent	ADJ
easat-4570	207	28	discrimination	discrimination	NOUN
easat-4570	207	29	capabilities	capability	NOUN
easat-4570	207	30	,	,	PUNCT
easat-4570	207	31	while	while	SCONJ
easat-4570	207	32	consistently	consistently	ADV
easat-4570	207	33	high	high	ADJ
easat-4570	207	34	ca	ca	NOUN
easat-4570	207	35	,	,	PUNCT
easat-4570	207	36	f1	f1	NOUN
easat-4570	207	37	,	,	PUNCT
easat-4570	207	38	prec	prec	PROPN
easat-4570	207	39	,	,	PUNCT
easat-4570	207	40	rec	rec	NOUN
easat-4570	207	41	,	,	PUNCT
easat-4570	207	42	and	and	CCONJ
easat-4570	207	43	mcc	mcc	PROPN
easat-4570	207	44	scores	score	NOUN
easat-4570	207	45	across	across	ADP
easat-4570	207	46	training	training	NOUN
easat-4570	207	47	and	and	CCONJ
easat-4570	207	48	test	test	NOUN
easat-4570	207	49	conditions	condition	NOUN
easat-4570	207	50	indicate	indicate	VERB
easat-4570	207	51	stable	stable	ADJ
easat-4570	207	52	and	and	CCONJ
easat-4570	207	53	reliable	reliable	ADJ
easat-4570	207	54	predictive	predictive	ADJ
easat-4570	207	55	performance	performance	NOUN
easat-4570	207	56	.	.	PUNCT
easat-4570	208	1	table	table	NOUN
easat-4570	208	2	2	2	NUM
easat-4570	208	3	.	.	PUNCT
easat-4570	208	4	comparative	comparative	ADJ
easat-4570	208	5	performance	performance	NOUN
easat-4570	208	6	of	of	ADP
easat-4570	208	7	six	six	NUM
easat-4570	208	8	classifiers	classifier	NOUN
easat-4570	208	9	using	use	VERB
easat-4570	208	10	three	three	NUM
easat-4570	208	11	feature	feature	NOUN
easat-4570	208	12	extraction	extraction	NOUN
easat-4570	208	13	architectures	architecture	NOUN
easat-4570	208	14	for	for	ADP
easat-4570	208	15	three	three	NUM
easat-4570	208	16	cell	cell	NOUN
easat-4570	208	17	type	type	NOUN
easat-4570	208	18	classification	classification	NOUN
easat-4570	208	19	for	for	ADP
easat-4570	208	20	d1	d1	NOUN
easat-4570	208	21	.	.	PUNCT
easat-4570	209	1	training	training	NOUN
easat-4570	209	2	process	process	NOUN
easat-4570	209	3	classifier	classifier	NOUN
easat-4570	209	4	/model	/model	NOUN
easat-4570	209	5	auc	auc	NOUN
easat-4570	209	6	ca	can	AUX
easat-4570	209	7	f1	f1	PROPN
easat-4570	209	8	prec	prec	PROPN
easat-4570	209	9	rec	rec	PROPN
easat-4570	209	10	mcc	mcc	PROPN
easat-4570	209	11	5f	5f	PROPN
easat-4570	209	12	10f	10f	PROPN
easat-4570	209	13	5f	5f	PROPN
easat-4570	209	14	10f	10f	PROPN
easat-4570	209	15	5f	5f	PROPN
easat-4570	209	16	10f	10f	PROPN
easat-4570	209	17	5f	5f	PROPN
easat-4570	209	18	10f	10f	PROPN
easat-4570	209	19	5f	5f	PROPN
easat-4570	209	20	10f	10f	PROPN
easat-4570	210	1	5f	5f	PROPN
easat-4570	210	2	10f	10f	PROPN
easat-4570	210	3	knn	knn	PROPN
easat-4570	210	4	iv3	iv3	VERB
easat-4570	210	5	0.994	0.994	NUM
easat-4570	210	6	0.999	0.999	NUM
easat-4570	210	7	0.97	0.97	NUM
easat-4570	210	8	0.976	0.976	NUM
easat-4570	210	9	0.97	0.97	NUM
easat-4570	210	10	0.976	0.976	NUM
easat-4570	210	11	0.97	0.97	NUM
easat-4570	210	12	0.977	0.977	NUM
easat-4570	210	13	0.97	0.97	NUM
easat-4570	210	14	0.976	0.976	NUM
easat-4570	210	15	0.955	0.955	NUM
easat-4570	210	16	0.964	0.964	NUM
easat-4570	210	17	sn	sn	PROPN
easat-4570	210	18	0.999	0.999	NUM
easat-4570	210	19	0.999	0.999	NUM
easat-4570	210	20	0.964	0.964	NUM
easat-4570	210	21	0.976	0.976	NUM
easat-4570	210	22	0.964	0.964	NUM
easat-4570	210	23	0.976	0.976	NUM
easat-4570	210	24	0.965	0.965	NUM
easat-4570	210	25	0.977	0.977	NUM
easat-4570	210	26	0.964	0.964	NUM
easat-4570	210	27	0.976	0.976	NUM
easat-4570	210	28	0.947	0.947	NUM
easat-4570	210	29	0.965	0.965	NUM
easat-4570	210	30	vgg	vgg	NOUN
easat-4570	210	31	0.999	0.999	NUM
easat-4570	210	32	0.999	0.999	NUM
easat-4570	210	33	0.976	0.976	NUM
easat-4570	210	34	0.976	0.976	NUM
easat-4570	210	35	0.976	0.976	NUM
easat-4570	210	36	0.976	0.976	NUM
easat-4570	210	37	0.977	0.977	NUM
easat-4570	210	38	0.977	0.977	NUM
easat-4570	210	39	0.976	0.976	NUM
easat-4570	210	40	0.976	0.976	NUM
easat-4570	210	41	0.964	0.964	NUM
easat-4570	210	42	0.964	0.964	NUM
easat-4570	210	43	dt	dt	PART
easat-4570	210	44	iv3	iv3	PROPN
easat-4570	210	45	0.928	0.928	NUM
easat-4570	210	46	0.908	0.908	NUM
easat-4570	210	47	0.881	0.881	NUM
easat-4570	210	48	0.863	0.863	NUM
easat-4570	210	49	0.881	0.881	NUM
easat-4570	210	50	0.863	0.863	NUM
easat-4570	210	51	0.883	0.883	NUM
easat-4570	210	52	0.864	0.864	NUM
easat-4570	210	53	0.881	0.881	NUM
easat-4570	210	54	0.863	0.863	NUM
easat-4570	210	55	0.822	0.822	NUM
easat-4570	210	56	0.795	0.795	NUM
easat-4570	210	57	sn	sn	NOUN
easat-4570	210	58	0.94	0.94	NUM
easat-4570	210	59	0.93	0.93	NUM
easat-4570	210	60	0.905	0.905	NUM
easat-4570	210	61	0.887	0.887	NUM
easat-4570	210	62	0.905	0.905	NUM
easat-4570	210	63	0.887	0.887	NUM
easat-4570	210	64	0.907	0.907	NUM
easat-4570	210	65	0.888	0.888	NUM
easat-4570	210	66	0.905	0.905	NUM
easat-4570	210	67	0.887	0.887	NUM
easat-4570	210	68	0.858	0.858	NUM
easat-4570	210	69	0.83	0.83	NUM
easat-4570	210	70	vgg	vgg	NOUN
easat-4570	210	71	0.928	0.928	NUM
easat-4570	210	72	0.934	0.934	NUM
easat-4570	210	73	0.887	0.887	NUM
easat-4570	210	74	0.893	0.893	NUM
easat-4570	210	75	0.887	0.887	NUM
easat-4570	210	76	0.893	0.893	NUM
easat-4570	210	77	0.888	0.888	NUM
easat-4570	210	78	0.894	0.894	NUM
easat-4570	210	79	0.887	0.887	NUM
easat-4570	210	80	0.893	0.893	NUM
easat-4570	210	81	0.831	0.831	NUM
easat-4570	210	82	0.84	0.84	NUM
easat-4570	210	83	rf	rf	NOUN
easat-4570	210	84	iv3	iv3	NOUN
easat-4570	210	85	0.992	0.992	NUM
easat-4570	210	86	0.997	0.997	NUM
easat-4570	210	87	0.946	0.946	NUM
easat-4570	210	88	0.964	0.964	NUM
easat-4570	210	89	0.947	0.947	NUM
easat-4570	210	90	0.964	0.964	NUM
easat-4570	210	91	0.952	0.952	NUM
easat-4570	210	92	0.965	0.965	NUM
easat-4570	210	93	0.946	0.946	NUM
easat-4570	210	94	0.964	0.964	NUM
easat-4570	210	95	0.922	0.922	NUM
easat-4570	210	96	0.947	0.947	NUM
easat-4570	210	97	sn	sn	PROPN
easat-4570	210	98	0.998	0.998	NUM
easat-4570	210	99	0.997	0.997	NUM
easat-4570	210	100	0.964	0.964	NUM
easat-4570	210	101	0.964	0.964	NUM
easat-4570	210	102	0.964	0.964	NUM
easat-4570	210	103	0.964	0.964	NUM
easat-4570	210	104	0.965	0.965	NUM
easat-4570	210	105	0.964	0.964	NUM
easat-4570	210	106	0.964	0.964	NUM
easat-4570	210	107	0.965	0.965	NUM
easat-4570	210	108	0.947	0.947	NUM
easat-4570	210	109	0.947	0.947	NUM
easat-4570	210	110	vgg	vgg	NOUN
easat-4570	210	111	0.994	0.994	NUM
easat-4570	210	112	0.996	0.996	NUM
easat-4570	210	113	0.946	0.946	NUM
easat-4570	210	114	0.958	0.958	NUM
easat-4570	210	115	0.946	0.946	NUM
easat-4570	210	116	0.958	0.958	NUM
easat-4570	210	117	0.946	0.946	NUM
easat-4570	210	118	0.958	0.958	NUM
easat-4570	210	119	0.946	0.946	NUM
easat-4570	210	120	0.958	0.958	NUM
easat-4570	210	121	0.92	0.92	NUM
easat-4570	210	122	0.938	0.938	NUM
easat-4570	210	123	ab	ab	PROPN
easat-4570	210	124	iv3	iv3	PROPN
easat-4570	210	125	0.924	0.924	NUM
easat-4570	210	126	0.902	0.902	NUM
easat-4570	210	127	0.899	0.899	NUM
easat-4570	210	128	0.869	0.869	NUM
easat-4570	210	129	0.899	0.899	NUM
easat-4570	210	130	0.869	0.869	NUM
easat-4570	210	131	0.9	0.9	NUM
easat-4570	210	132	0.871	0.871	NUM
easat-4570	210	133	0.899	0.899	NUM
easat-4570	210	134	0.869	0.869	NUM
easat-4570	210	135	0.848	0.848	NUM
easat-4570	210	136	0.804	0.804	NUM
easat-4570	210	137	sn	sn	NOUN
easat-4570	210	138	0.933	0.933	NUM
easat-4570	210	139	0.906	0.906	NUM
easat-4570	210	140	0.911	0.911	NUM
easat-4570	210	141	0.875	0.875	NUM
easat-4570	210	142	0.911	0.911	NUM
easat-4570	210	143	0.876	0.876	NUM
easat-4570	210	144	0.911	0.911	NUM
easat-4570	210	145	0.878	0.878	NUM
easat-4570	210	146	0.911	0.911	NUM
easat-4570	210	147	0.875	0.875	NUM
easat-4570	210	148	0.866	0.866	NUM
easat-4570	210	149	0.813	0.813	NUM
easat-4570	210	150	vgg	vgg	NOUN
easat-4570	210	151	0.906	0.906	NUM
easat-4570	210	152	0.915	0.915	NUM
easat-4570	210	153	0.875	0.875	NUM
easat-4570	210	154	0.887	0.887	NUM
easat-4570	210	155	0.876	0.876	NUM
easat-4570	210	156	0.887	0.887	NUM
easat-4570	210	157	0.878	0.878	NUM
easat-4570	210	158	0.889	0.889	NUM
easat-4570	210	159	0.875	0.875	NUM
easat-4570	210	160	0.887	0.887	NUM
easat-4570	210	161	0.813	0.813	NUM
easat-4570	210	162	0.831	0.831	NUM
easat-4570	210	163	nn	nn	SYM
easat-4570	210	164	iv3	iv3	PROPN
easat-4570	210	165	0.997	0.997	NUM
easat-4570	210	166	0.996	0.996	NUM
easat-4570	210	167	0.958	0.958	NUM
easat-4570	210	168	0.964	0.964	NUM
easat-4570	210	169	0.958	0.958	NUM
easat-4570	210	170	0.964	0.964	NUM
easat-4570	210	171	0.958	0.958	NUM
easat-4570	210	172	0.965	0.965	NUM
easat-4570	210	173	0.958	0.958	NUM
easat-4570	210	174	0.964	0.964	NUM
easat-4570	210	175	0.938	0.938	NUM
easat-4570	210	176	0.947	0.947	NUM
easat-4570	210	177	sn	sn	NOUN
easat-4570	210	178	1	1	NUM
easat-4570	210	179	1	1	NUM
easat-4570	210	180	0.982	0.982	NUM
easat-4570	210	181	0.994	0.994	NUM
easat-4570	210	182	0.982	0.982	NUM
easat-4570	210	183	0.994	0.994	NUM
easat-4570	210	184	0.982	0.982	NUM
easat-4570	210	185	0.994	0.994	NUM
easat-4570	210	186	0.982	0.982	NUM
easat-4570	210	187	0.994	0.994	NUM
easat-4570	210	188	0.973	0.973	NUM
easat-4570	210	189	0.991	0.991	NUM
easat-4570	210	190	vgg	vgg	NOUN
easat-4570	210	191	0.996	0.996	NUM
easat-4570	210	192	0.996	0.996	NUM
easat-4570	210	193	0.964	0.964	NUM
easat-4570	210	194	0.964	0.964	NUM
easat-4570	210	195	0.964	0.964	NUM
easat-4570	210	196	0.964	0.964	NUM
easat-4570	210	197	0.965	0.965	NUM
easat-4570	210	198	0.965	0.965	NUM
easat-4570	210	199	0.964	0.964	NUM
easat-4570	210	200	0.964	0.964	NUM
easat-4570	210	201	0.947	0.947	NUM
easat-4570	210	202	0.947	0.947	NUM
easat-4570	210	203	nb	nb	PART
easat-4570	210	204	iv3	iv3	PROPN
easat-4570	210	205	0.992	0.992	NUM
easat-4570	210	206	0.994	0.994	NUM
easat-4570	210	207	0.964	0.964	NUM
easat-4570	210	208	0.964	0.964	NUM
easat-4570	210	209	0.964	0.964	NUM
easat-4570	210	210	0.964	0.964	NUM
easat-4570	210	211	0.964	0.964	NUM
easat-4570	210	212	0.964	0.964	NUM
easat-4570	210	213	0.964	0.964	NUM
easat-4570	210	214	0.964	0.964	NUM
easat-4570	210	215	0.946	0.946	NUM
easat-4570	210	216	0.946	0.946	NUM
easat-4570	210	217	sn	sn	NOUN
easat-4570	210	218	0.989	0.989	NUM
easat-4570	210	219	0.992	0.992	NUM
easat-4570	210	220	0.952	0.952	NUM
easat-4570	210	221	0.964	0.964	NUM
easat-4570	210	222	0.953	0.953	NUM
easat-4570	210	223	0.965	0.965	NUM
easat-4570	210	224	0.956	0.956	NUM
easat-4570	210	225	0.968	0.968	NUM
easat-4570	210	226	0.952	0.952	NUM
easat-4570	210	227	0.964	0.964	NUM
easat-4570	210	228	0.93	0.93	NUM
easat-4570	210	229	0.948	0.948	NUM
easat-4570	210	230	vgg	vgg	NOUN
easat-4570	210	231	0.905	0.905	NUM
easat-4570	210	232	0.917	0.917	NUM
easat-4570	210	233	0.906	0.906	NUM
easat-4570	210	234	0.917	0.917	NUM
easat-4570	210	235	0.912	0.912	NUM
easat-4570	210	236	0.921	0.921	NUM
easat-4570	210	237	0.905	0.905	NUM
easat-4570	210	238	0.917	0.917	NUM
easat-4570	210	239	0.86	0.86	NUM
easat-4570	210	240	0.877	0.877	NUM
easat-4570	210	241	testing	testing	NOUN
easat-4570	210	242	process	process	NOUN
easat-4570	210	243	classifier	classifier	NOUN
easat-4570	210	244	/model	/model	NOUN
easat-4570	211	1	auc	auc	NOUN
easat-4570	212	1	ca	can	AUX
easat-4570	212	2	f1	f1	PROPN
easat-4570	212	3	prec	prec	PROPN
easat-4570	212	4	rec	rec	PROPN
easat-4570	212	5	mcc	mcc	PROPN
easat-4570	212	6	knn	knn	PROPN
easat-4570	212	7	iv3	iv3	PROPN
easat-4570	212	8	0.99	0.99	NUM
easat-4570	212	9	0.94	0.94	NUM
easat-4570	212	10	0.94	0.94	NUM
easat-4570	212	11	0.949	0.949	NUM
easat-4570	212	12	0.94	0.94	NUM
easat-4570	212	13	0.916	0.916	NUM
easat-4570	212	14	sn	sn	PROPN
easat-4570	212	15	0.989	0.989	NUM
easat-4570	212	16	0.964	0.964	NUM
easat-4570	212	17	0.965	0.965	NUM
easat-4570	212	18	0.968	0.968	NUM
easat-4570	212	19	0.964	0.964	NUM
easat-4570	212	20	0.948	0.948	NUM
easat-4570	212	21	vgg	vgg	NOUN
easat-4570	212	22	0.991	0.991	NUM
easat-4570	212	23	0.976	0.976	NUM
easat-4570	212	24	0.976	0.976	NUM
easat-4570	212	25	0.978	0.978	NUM
easat-4570	212	26	0.976	0.976	NUM
easat-4570	212	27	0.965	0.965	NUM
easat-4570	212	28	dt	dt	PART
easat-4570	212	29	iv3	iv3	PROPN
easat-4570	212	30	0.866	0.866	NUM
easat-4570	212	31	0.821	0.821	NUM
easat-4570	212	32	0.821	0.821	NUM
easat-4570	212	33	0.835	0.835	NUM
easat-4570	212	34	0.821	0.821	NUM
easat-4570	212	35	0.739	0.739	NUM
easat-4570	212	36	sn	sn	NOUN
easat-4570	212	37	0.918	0.918	NUM
easat-4570	212	38	0.881	0.881	NUM
easat-4570	212	39	0.878	0.878	NUM
easat-4570	212	40	0.905	0.905	NUM
easat-4570	212	41	0.881	0.881	NUM
easat-4570	212	42	0.834	0.834	NUM
easat-4570	212	43	vgg	vgg	NOUN
easat-4570	212	44	0.962	0.962	NUM
easat-4570	212	45	0.929	0.929	NUM
easat-4570	212	46	0.93	0.93	NUM
easat-4570	212	47	0.935	0.935	NUM
easat-4570	212	48	0.929	0.929	NUM
easat-4570	212	49	0.895	0.895	NUM
easat-4570	212	50	rf	rf	NOUN
easat-4570	212	51	iv3	iv3	NOUN
easat-4570	212	52	0.997	0.997	NUM
easat-4570	212	53	0.893	0.893	NUM
easat-4570	212	54	0.89	0.89	NUM
easat-4570	212	55	0.919	0.919	NUM
easat-4570	212	56	0.893	0.893	NUM
easat-4570	212	57	0.854	0.854	NUM
easat-4570	212	58	sn	sn	NOUN
easat-4570	212	59	0.98	0.98	NUM
easat-4570	212	60	0.845	0.845	NUM
easat-4570	212	61	0.848	0.848	NUM
easat-4570	212	62	0.894	0.894	NUM
easat-4570	212	63	0.845	0.845	NUM
easat-4570	212	64	0.791	0.791	NUM
easat-4570	212	65	vgg	vgg	NOUN
easat-4570	212	66	0.999	0.999	NUM
easat-4570	212	67	0.976	0.976	NUM
easat-4570	212	68	0.976	0.976	NUM
easat-4570	212	69	0.978	0.978	NUM
easat-4570	212	70	0.976	0.976	NUM
easat-4570	212	71	0.965	0.965	NUM
easat-4570	212	72	ab	ab	PROPN
easat-4570	212	73	iv3	iv3	PROPN
easat-4570	212	74	0.875	0.875	NUM
easat-4570	212	75	0.833	0.833	NUM
easat-4570	212	76	0.833	0.833	NUM
easat-4570	212	77	0.843	0.843	NUM
easat-4570	212	78	0.833	0.833	NUM
easat-4570	212	79	0.755	0.755	NUM
easat-4570	212	80	sn	sn	NOUN
easat-4570	212	81	0.955	0.955	NUM
easat-4570	212	82	0.94	0.94	NUM
easat-4570	212	83	0.94	0.94	NUM
easat-4570	212	84	0.943	0.943	NUM
easat-4570	212	85	0.94	0.94	NUM
easat-4570	212	86	0.912	0.912	NUM
easat-4570	212	87	vgg	vgg	NOUN
easat-4570	212	88	0.973	0.973	NUM
easat-4570	212	89	0.964	0.964	NUM
easat-4570	213	1	0.964	0.964	NUM
easat-4570	213	2	0.966	0.966	NUM
easat-4570	213	3	0.964	0.964	NUM
easat-4570	213	4	0.947	0.947	NUM
easat-4570	213	5	nn	nn	PART
easat-4570	213	6	iv3	iv3	PROPN
easat-4570	213	7	0.999	0.999	NUM
easat-4570	213	8	0.988	0.988	NUM
easat-4570	213	9	0.988	0.988	NUM
easat-4570	213	10	0.989	0.989	NUM
easat-4570	213	11	0.988	0.988	NUM
easat-4570	213	12	0.982	0.982	NUM
easat-4570	213	13	sn	sn	PROPN
easat-4570	213	14	1	1	NUM
easat-4570	213	15	1	1	NUM
easat-4570	213	16	1	1	NUM
easat-4570	213	17	1	1	NUM
easat-4570	213	18	1	1	NUM
easat-4570	213	19	1	1	NUM
easat-4570	213	20	vgg	vgg	NOUN
easat-4570	213	21	1	1	NUM
easat-4570	213	22	0.988	0.988	NUM
easat-4570	213	23	0	0	NUM
easat-4570	213	24	0.989988	0.989988	NUM
easat-4570	213	25	0.988	0.988	NUM
easat-4570	213	26	0.982	0.982	NUM
easat-4570	213	27	nb	nb	NOUN
easat-4570	213	28	iv3	iv3	PROPN
easat-4570	214	1	0.989	0.989	NUM
easat-4570	214	2	0.964	0.964	NUM
easat-4570	214	3	0.964	0.964	NUM
easat-4570	214	4	0.968	0.968	NUM
easat-4570	214	5	0.964	0.964	NUM
easat-4570	214	6	0.948	0.948	NUM
easat-4570	214	7	sn	sn	NOUN
easat-4570	214	8	0.983	0.983	NUM
easat-4570	214	9	0.929	0.929	NUM
easat-4570	214	10	0.929	0.929	NUM
easat-4570	214	11	0.936	0.936	NUM
easat-4570	214	12	0.929	0.929	NUM
easat-4570	214	13	0.896	0.896	NUM
easat-4570	214	14	vgg	vgg	NOUN
easat-4570	214	15	0.976	0.976	NUM
easat-4570	214	16	0.976	0.976	NUM
easat-4570	214	17	0.978	0.978	NUM
easat-4570	214	18	0.976	0.976	NUM
easat-4570	214	19	0.965	0.965	NUM
easat-4570	214	20	comparing	compare	VERB
easat-4570	214	21	the	the	DET
easat-4570	214	22	fivefold	fivefold	NOUN
easat-4570	214	23	and	and	CCONJ
easat-4570	214	24	ten	ten	NUM
easat-4570	214	25	fold	fold	NOUN
easat-4570	214	26	cross	cross	NOUN
easat-4570	214	27	validation	validation	NOUN
easat-4570	214	28	splitting	splitting	NOUN
easat-4570	214	29	shows	show	VERB
easat-4570	214	30	the	the	DET
easat-4570	214	31	stability	stability	NOUN
easat-4570	214	32	of	of	ADP
easat-4570	214	33	the	the	DET
easat-4570	214	34	classifier	classifier	NOUN
easat-4570	214	35	when	when	SCONJ
easat-4570	214	36	trained	train	VERB
easat-4570	214	37	and	and	CCONJ
easat-4570	214	38	tested	test	VERB
easat-4570	214	39	.	.	PUNCT
easat-4570	215	1	generally	generally	ADV
easat-4570	215	2	,	,	PUNCT
easat-4570	215	3	similar	similar	ADJ
easat-4570	215	4	values	value	NOUN
easat-4570	215	5	in	in	ADP
easat-4570	215	6	5f	5f	PROPN
easat-4570	215	7	and	and	CCONJ
easat-4570	215	8	10f	10f	PROPN
easat-4570	215	9	suggest	suggest	VERB
easat-4570	215	10	that	that	SCONJ
easat-4570	215	11	the	the	DET
easat-4570	215	12	model	model	NOUN
easat-4570	215	13	is	be	AUX
easat-4570	215	14	robust	robust	ADJ
easat-4570	215	15	to	to	ADP
easat-4570	215	16	how	how	SCONJ
easat-4570	215	17	the	the	DET
easat-4570	215	18	training	training	NOUN
easat-4570	215	19	data	data	NOUN
easat-4570	215	20	is	be	AUX
easat-4570	215	21	partitioned	partition	VERB
easat-4570	215	22	.	.	PUNCT
easat-4570	216	1	analysis	analysis	NOUN
easat-4570	216	2	of	of	ADP
easat-4570	216	3	the	the	DET
easat-4570	216	4	results	result	NOUN
easat-4570	216	5	reveals	reveal	VERB
easat-4570	216	6	that	that	SCONJ
easat-4570	216	7	certain	certain	ADJ
easat-4570	216	8	classifier	classifier	NOUN
easat-4570	216	9	and	and	CCONJ
easat-4570	216	10	feature	feature	NOUN
easat-4570	216	11	extraction	extraction	NOUN
easat-4570	216	12	combinations	combination	NOUN
easat-4570	216	13	outperform	outperform	VERB
easat-4570	216	14	others	other	NOUN
easat-4570	216	15	.	.	PUNCT
easat-4570	217	1	neural	neural	ADJ
easat-4570	217	2	networks	network	NOUN
easat-4570	217	3	demonstrate	demonstrate	VERB
easat-4570	217	4	near	near	ADP
easat-4570	217	5	-	-	PUNCT
easat-4570	217	6	perfect	perfect	ADJ
easat-4570	217	7	classification	classification	NOUN
easat-4570	217	8	performance	performance	NOUN
easat-4570	217	9	when	when	SCONJ
easat-4570	217	10	paired	pair	VERB
easat-4570	217	11	with	with	ADP
easat-4570	217	12	squeezenet	squeezenet	NOUN
easat-4570	217	13	or	or	CCONJ
easat-4570	217	14	vgg	vgg	NOUN
easat-4570	217	15	features	feature	NOUN
easat-4570	217	16	,	,	PUNCT
easat-4570	217	17	consistently	consistently	ADV
easat-4570	217	18	achieving	achieve	VERB
easat-4570	217	19	high	high	ADJ
easat-4570	217	20	auc	auc	NOUN
easat-4570	217	21	,	,	PUNCT
easat-4570	217	22	ca	ca	NOUN
easat-4570	217	23	,	,	PUNCT
easat-4570	217	24	and	and	CCONJ
easat-4570	217	25	f1	f1	NOUN
easat-4570	217	26	scores	score	NOUN
easat-4570	217	27	and	and	CCONJ
easat-4570	217	28	mcc	mcc	NOUN
easat-4570	217	29	values	value	NOUN
easat-4570	217	30	reflecting	reflect	VERB
easat-4570	217	31	nearly	nearly	ADV
easat-4570	217	32	flawless	flawless	ADJ
easat-4570	217	33	predictions	prediction	NOUN
easat-4570	217	34	(	(	PUNCT
easat-4570	217	35	see	see	VERB
easat-4570	217	36	figure	figure	NOUN
easat-4570	217	37	4	4	NUM
easat-4570	217	38	)	)	PUNCT
easat-4570	217	39	.	.	PUNCT
easat-4570	218	1	similarly	similarly	ADV
easat-4570	218	2	,	,	PUNCT
easat-4570	218	3	random	random	ADJ
easat-4570	218	4	forest	forest	NOUN
easat-4570	218	5	and	and	CCONJ
easat-4570	218	6	knn	knn	PROPN
easat-4570	218	7	models	model	NOUN
easat-4570	218	8	,	,	PUNCT
easat-4570	218	9	when	when	SCONJ
easat-4570	218	10	trained	train	VERB
easat-4570	218	11	on	on	ADP
easat-4570	218	12	either	either	DET
easat-4570	218	13	iv3	iv3	PROPN
easat-4570	218	14	(	(	PUNCT
easat-4570	218	15	see	see	VERB
easat-4570	218	16	figure	figure	NOUN
easat-4570	218	17	,	,	PUNCT
easat-4570	218	18	5,6	5,6	NUM
easat-4570	218	19	)	)	PUNCT
easat-4570	218	20	or	or	CCONJ
easat-4570	218	21	vgg	vgg	NOUN
easat-4570	218	22	-	-	PUNCT
easat-4570	218	23	derived	derive	VERB
easat-4570	218	24	features	feature	NOUN
easat-4570	218	25	,	,	PUNCT
easat-4570	218	26	exhibit	exhibit	VERB
easat-4570	218	27	693	693	NUM
easat-4570	218	28	edelweiss	edelweiss	PROPN
easat-4570	218	29	applied	apply	VERB
easat-4570	218	30	science	science	NOUN
easat-4570	218	31	and	and	CCONJ
easat-4570	218	32	technology	technology	NOUN
easat-4570	218	33	issn	issn	PROPN
easat-4570	218	34	:	:	PUNCT
easat-4570	218	35	2576	2576	NUM
easat-4570	218	36	-	-	SYM
easat-4570	218	37	8484	8484	NUM
easat-4570	218	38	vol	vol	NOUN
easat-4570	218	39	.	.	PROPN
easat-4570	219	1	9	9	NUM
easat-4570	219	2	,	,	PUNCT
easat-4570	219	3	no	no	INTJ
easat-4570	219	4	.	.	NOUN
easat-4570	219	5	2	2	NUM
easat-4570	219	6	:	:	PUNCT
easat-4570	219	7	682	682	NUM
easat-4570	219	8	-	-	SYM
easat-4570	219	9	707	707	NUM
easat-4570	219	10	,	,	PUNCT
easat-4570	219	11	2025	2025	NUM
easat-4570	219	12	doi	doi	NOUN
easat-4570	219	13	:	:	PUNCT
easat-4570	219	14	10.55214/25768484.v9i2.4570	10.55214/25768484.v9i2.4570	NUM
easat-4570	219	15	©	©	PROPN
easat-4570	219	16	2025	2025	NUM
easat-4570	219	17	by	by	ADP
easat-4570	219	18	the	the	DET
easat-4570	219	19	authors	author	NOUN
easat-4570	219	20	;	;	PUNCT
easat-4570	219	21	licensee	licensee	PROPN
easat-4570	219	22	learning	learning	NOUN
easat-4570	219	23	gate	gate	VERB
easat-4570	219	24	notably	notably	ADV
easat-4570	219	25	high	high	ADJ
easat-4570	219	26	overall	overall	ADJ
easat-4570	219	27	performance	performance	NOUN
easat-4570	219	28	metrics	metric	NOUN
easat-4570	219	29	,	,	PUNCT
easat-4570	219	30	indicating	indicate	VERB
easat-4570	219	31	that	that	SCONJ
easat-4570	219	32	well	well	ADV
easat-4570	219	33	-	-	PUNCT
easat-4570	219	34	engineered	engineer	VERB
easat-4570	219	35	deep	deep	ADJ
easat-4570	219	36	representations	representation	NOUN
easat-4570	219	37	can	can	AUX
easat-4570	219	38	effectively	effectively	ADV
easat-4570	219	39	separate	separate	VERB
easat-4570	219	40	cell	cell	NOUN
easat-4570	219	41	type	type	NOUN
easat-4570	219	42	classes	class	NOUN
easat-4570	219	43	.	.	PUNCT
easat-4570	220	1	figure	figure	VERB
easat-4570	220	2	4	4	NUM
easat-4570	220	3	.	.	PUNCT
easat-4570	220	4	accuracy	accuracy	NOUN
easat-4570	220	5	metrics	metric	NOUN
easat-4570	220	6	of	of	ADP
easat-4570	220	7	5	5	NUM
easat-4570	220	8	-	-	NOUN
easat-4570	220	9	fold	fold	ADJ
easat-4570	220	10	,	,	PUNCT
easat-4570	220	11	10	10	ADJ
easat-4570	220	12	-	-	ADJ
easat-4570	220	13	fold	fold	ADJ
easat-4570	220	14	splitting	splitting	NOUN
easat-4570	220	15	and	and	CCONJ
easat-4570	220	16	testing	testing	NOUN
easat-4570	220	17	for	for	ADP
easat-4570	220	18	all	all	DET
easat-4570	220	19	classifiers	classifier	NOUN
easat-4570	220	20	when	when	SCONJ
easat-4570	220	21	vgg	vgg	PROPN
easat-4570	220	22	16	16	NUM
easat-4570	220	23	architecture	architecture	NOUN
easat-4570	220	24	is	be	AUX
easat-4570	220	25	used	use	VERB
easat-4570	220	26	.	.	PUNCT
easat-4570	221	1	in	in	ADP
easat-4570	221	2	contrast	contrast	NOUN
easat-4570	221	3	,	,	PUNCT
easat-4570	221	4	decision	decision	NOUN
easat-4570	221	5	trees	tree	NOUN
easat-4570	221	6	and	and	CCONJ
easat-4570	221	7	adaboost	adaboost	ADV
easat-4570	221	8	,	,	PUNCT
easat-4570	221	9	while	while	SCONJ
easat-4570	221	10	still	still	ADV
easat-4570	221	11	producing	produce	VERB
easat-4570	221	12	good	good	ADJ
easat-4570	221	13	results	result	NOUN
easat-4570	221	14	,	,	PUNCT
easat-4570	221	15	generally	generally	ADV
easat-4570	221	16	lag	lag	VERB
easat-4570	221	17	behind	behind	ADP
easat-4570	221	18	the	the	DET
easat-4570	221	19	top	top	ADV
easat-4570	221	20	-	-	PUNCT
easat-4570	221	21	performing	perform	VERB
easat-4570	221	22	models	model	NOUN
easat-4570	221	23	,	,	PUNCT
easat-4570	221	24	suggesting	suggest	VERB
easat-4570	221	25	a	a	DET
easat-4570	221	26	lesser	less	ADJ
easat-4570	221	27	capacity	capacity	NOUN
easat-4570	221	28	to	to	PART
easat-4570	221	29	fully	fully	ADV
easat-4570	221	30	leverage	leverage	VERB
easat-4570	221	31	the	the	DET
easat-4570	221	32	richness	richness	NOUN
easat-4570	221	33	of	of	ADP
easat-4570	221	34	deep	deep	ADJ
easat-4570	221	35	features	feature	NOUN
easat-4570	221	36	or	or	CCONJ
easat-4570	221	37	to	to	PART
easat-4570	221	38	establish	establish	VERB
easat-4570	221	39	complex	complex	ADJ
easat-4570	221	40	decision	decision	NOUN
easat-4570	221	41	boundaries	boundary	NOUN
easat-4570	221	42	required	require	VERB
easat-4570	221	43	for	for	ADP
easat-4570	221	44	optimal	optimal	ADJ
easat-4570	221	45	differentiation	differentiation	NOUN
easat-4570	221	46	among	among	ADP
easat-4570	221	47	cell	cell	NOUN
easat-4570	221	48	types	type	NOUN
easat-4570	221	49	.	.	PUNCT
easat-4570	222	1	figure	figure	NOUN
easat-4570	222	2	5	5	NUM
easat-4570	222	3	.	.	PUNCT
easat-4570	222	4	accuracy	accuracy	NOUN
easat-4570	222	5	metrics	metric	NOUN
easat-4570	222	6	of	of	ADP
easat-4570	222	7	5	5	NUM
easat-4570	222	8	-	-	NOUN
easat-4570	222	9	fold	fold	ADJ
easat-4570	222	10	,	,	PUNCT
easat-4570	222	11	10	10	ADJ
easat-4570	222	12	-	-	ADJ
easat-4570	222	13	fold	fold	ADJ
easat-4570	222	14	splitting	splitting	NOUN
easat-4570	222	15	and	and	CCONJ
easat-4570	222	16	testing	testing	NOUN
easat-4570	222	17	for	for	ADP
easat-4570	222	18	all	all	DET
easat-4570	222	19	classifiers	classifier	NOUN
easat-4570	222	20	when	when	SCONJ
easat-4570	222	21	inception	inception	ADJ
easat-4570	222	22	v3	v3	PROPN
easat-4570	222	23	architecture	architecture	NOUN
easat-4570	222	24	is	be	AUX
easat-4570	222	25	used	use	VERB
easat-4570	222	26	694	694	NUM
easat-4570	222	27	edelweiss	edelweiss	PROPN
easat-4570	222	28	applied	apply	VERB
easat-4570	222	29	science	science	NOUN
easat-4570	222	30	and	and	CCONJ
easat-4570	222	31	technology	technology	NOUN
easat-4570	222	32	issn	issn	PROPN
easat-4570	222	33	:	:	PUNCT
easat-4570	222	34	2576	2576	NUM
easat-4570	222	35	-	-	SYM
easat-4570	222	36	8484	8484	NUM
easat-4570	222	37	vol	vol	NOUN
easat-4570	222	38	.	.	PROPN
easat-4570	223	1	9	9	NUM
easat-4570	223	2	,	,	PUNCT
easat-4570	223	3	no	no	INTJ
easat-4570	223	4	.	.	NOUN
easat-4570	223	5	2	2	NUM
easat-4570	223	6	:	:	PUNCT
easat-4570	223	7	682	682	NUM
easat-4570	223	8	-	-	SYM
easat-4570	223	9	707	707	NUM
easat-4570	223	10	,	,	PUNCT
easat-4570	223	11	2025	2025	NUM
easat-4570	223	12	doi	doi	NOUN
easat-4570	223	13	:	:	PUNCT
easat-4570	223	14	10.55214/25768484.v9i2.4570	10.55214/25768484.v9i2.4570	NUM
easat-4570	223	15	©	©	PROPN
easat-4570	223	16	2025	2025	NUM
easat-4570	223	17	by	by	ADP
easat-4570	223	18	the	the	DET
easat-4570	223	19	authors	author	NOUN
easat-4570	223	20	;	;	PUNCT
easat-4570	223	21	licensee	licensee	PROPN
easat-4570	223	22	learning	learning	NOUN
easat-4570	223	23	gate	gate	NOUN
easat-4570	223	24	these	these	DET
easat-4570	223	25	findings	finding	NOUN
easat-4570	223	26	suggest	suggest	VERB
easat-4570	223	27	that	that	SCONJ
easat-4570	223	28	the	the	DET
easat-4570	223	29	most	most	ADV
easat-4570	223	30	optimal	optimal	ADJ
easat-4570	223	31	configurations	configuration	NOUN
easat-4570	223	32	are	be	AUX
easat-4570	223	33	those	those	PRON
easat-4570	223	34	that	that	PRON
easat-4570	223	35	pair	pair	VERB
easat-4570	223	36	robust	robust	ADJ
easat-4570	223	37	feature	feature	NOUN
easat-4570	223	38	extraction	extraction	NOUN
easat-4570	223	39	architectures	architecture	NOUN
easat-4570	223	40	with	with	ADP
easat-4570	223	41	more	more	ADV
easat-4570	223	42	sophisticated	sophisticated	ADJ
easat-4570	223	43	classification	classification	NOUN
easat-4570	223	44	algorithms	algorithm	NOUN
easat-4570	223	45	.	.	PUNCT
easat-4570	224	1	in	in	ADP
easat-4570	224	2	particular	particular	ADJ
easat-4570	224	3	,	,	PUNCT
easat-4570	224	4	squeezenet	squeezenet	NOUN
easat-4570	224	5	and	and	CCONJ
easat-4570	224	6	vgg	vgg	NOUN
easat-4570	224	7	-	-	PUNCT
easat-4570	224	8	based	base	VERB
easat-4570	224	9	feature	feature	NOUN
easat-4570	224	10	vectors	vector	NOUN
easat-4570	224	11	combined	combine	VERB
easat-4570	224	12	with	with	ADP
easat-4570	224	13	neural	neural	ADJ
easat-4570	224	14	networks	network	NOUN
easat-4570	224	15	emerged	emerge	VERB
easat-4570	224	16	as	as	ADP
easat-4570	224	17	the	the	DET
easat-4570	224	18	top	top	ADJ
easat-4570	224	19	-	-	PUNCT
easat-4570	224	20	tier	tier	NOUN
easat-4570	224	21	solutions	solution	NOUN
easat-4570	224	22	,	,	PUNCT
easat-4570	224	23	delivering	deliver	VERB
easat-4570	224	24	superior	superior	ADJ
easat-4570	224	25	auc	auc	NOUN
easat-4570	224	26	,	,	PUNCT
easat-4570	224	27	ca	ca	NOUN
easat-4570	224	28	,	,	PUNCT
easat-4570	224	29	and	and	CCONJ
easat-4570	224	30	f1	f1	PROPN
easat-4570	224	31	metrics	metric	NOUN
easat-4570	224	32	,	,	PUNCT
easat-4570	224	33	as	as	ADV
easat-4570	224	34	well	well	ADV
easat-4570	224	35	as	as	ADP
easat-4570	224	36	stable	stable	ADJ
easat-4570	224	37	mcc	mcc	NOUN
easat-4570	224	38	values	value	NOUN
easat-4570	224	39	across	across	ADP
easat-4570	224	40	cross	cross	ADJ
easat-4570	224	41	-	-	ADJ
easat-4570	224	42	validation	validation	ADJ
easat-4570	224	43	and	and	CCONJ
easat-4570	224	44	independent	independent	ADJ
easat-4570	224	45	testing	testing	NOUN
easat-4570	224	46	.	.	PUNCT
easat-4570	225	1	such	such	ADJ
easat-4570	225	2	combinations	combination	NOUN
easat-4570	225	3	not	not	PART
easat-4570	225	4	only	only	ADV
easat-4570	225	5	highlight	highlight	VERB
easat-4570	225	6	the	the	DET
easat-4570	225	7	importance	importance	NOUN
easat-4570	225	8	of	of	ADP
easat-4570	225	9	selecting	select	VERB
easat-4570	225	10	advanced	advanced	ADJ
easat-4570	225	11	,	,	PUNCT
easat-4570	225	12	highquality	highquality	NOUN
easat-4570	225	13	feature	feature	NOUN
easat-4570	225	14	representations	representation	NOUN
easat-4570	225	15	but	but	CCONJ
easat-4570	225	16	also	also	ADV
easat-4570	225	17	underscore	underscore	VERB
easat-4570	225	18	the	the	DET
easat-4570	225	19	value	value	NOUN
easat-4570	225	20	of	of	ADP
easat-4570	225	21	choosing	choose	VERB
easat-4570	225	22	classifiers	classifier	NOUN
easat-4570	225	23	capable	capable	ADJ
easat-4570	225	24	of	of	ADP
easat-4570	225	25	capitalizing	capitalize	VERB
easat-4570	225	26	on	on	ADP
easat-4570	225	27	these	these	DET
easat-4570	225	28	complex	complex	ADJ
easat-4570	225	29	feature	feature	NOUN
easat-4570	225	30	sets	set	NOUN
easat-4570	225	31	.	.	PUNCT
easat-4570	226	1	in	in	ADP
easat-4570	226	2	practice	practice	NOUN
easat-4570	226	3	,	,	PUNCT
easat-4570	226	4	these	these	DET
easat-4570	226	5	insights	insight	NOUN
easat-4570	226	6	would	would	AUX
easat-4570	226	7	guide	guide	VERB
easat-4570	226	8	researchers	researcher	NOUN
easat-4570	226	9	toward	toward	ADP
easat-4570	226	10	leveraging	leverage	VERB
easat-4570	226	11	deep	deep	ADJ
easat-4570	226	12	-	-	PUNCT
easat-4570	226	13	learning	learning	NOUN
easat-4570	226	14	-	-	PUNCT
easat-4570	226	15	derived	derive	VERB
easat-4570	226	16	features	feature	NOUN
easat-4570	226	17	in	in	ADP
easat-4570	226	18	conjunction	conjunction	NOUN
easat-4570	226	19	with	with	ADP
easat-4570	226	20	neural	neural	ADJ
easat-4570	226	21	network	network	NOUN
easat-4570	226	22	models	model	NOUN
easat-4570	226	23	to	to	PART
easat-4570	226	24	achieve	achieve	VERB
easat-4570	226	25	maximal	maximal	ADJ
easat-4570	226	26	accuracy	accuracy	NOUN
easat-4570	226	27	,	,	PUNCT
easat-4570	226	28	reliability	reliability	NOUN
easat-4570	226	29	,	,	PUNCT
easat-4570	226	30	and	and	CCONJ
easat-4570	226	31	scalability	scalability	NOUN
easat-4570	226	32	in	in	ADP
easat-4570	226	33	high	high	ADJ
easat-4570	226	34	-	-	PUNCT
easat-4570	226	35	throughput	throughput	NOUN
easat-4570	226	36	cellular	cellular	ADJ
easat-4570	226	37	classification	classification	NOUN
easat-4570	226	38	tasks	task	NOUN
easat-4570	226	39	.	.	PUNCT
easat-4570	227	1	figure	figure	NOUN
easat-4570	227	2	6	6	NUM
easat-4570	227	3	.	.	PUNCT
easat-4570	228	1	accuracy	accuracy	NOUN
easat-4570	228	2	metrics	metric	NOUN
easat-4570	228	3	of	of	ADP
easat-4570	228	4	5	5	NUM
easat-4570	228	5	-	-	NOUN
easat-4570	228	6	fold	fold	ADJ
easat-4570	228	7	,	,	PUNCT
easat-4570	228	8	10	10	ADJ
easat-4570	228	9	-	-	ADJ
easat-4570	228	10	fold	fold	ADJ
easat-4570	228	11	splitting	splitting	NOUN
easat-4570	228	12	and	and	CCONJ
easat-4570	228	13	testing	testing	NOUN
easat-4570	228	14	for	for	ADP
easat-4570	228	15	all	all	DET
easat-4570	228	16	classifiers	classifier	NOUN
easat-4570	228	17	when	when	SCONJ
easat-4570	228	18	squeezenet	squeezenet	NOUN
easat-4570	228	19	architecture	architecture	NOUN
easat-4570	228	20	is	be	AUX
easat-4570	228	21	used	use	VERB
easat-4570	228	22	similar	similar	ADJ
easat-4570	228	23	to	to	ADP
easat-4570	228	24	the	the	DET
easat-4570	228	25	previous	previous	ADJ
easat-4570	228	26	one	one	NOUN
easat-4570	228	27	,	,	PUNCT
easat-4570	228	28	the	the	DET
easat-4570	228	29	same	same	ADJ
easat-4570	228	30	experiment	experiment	NOUN
easat-4570	228	31	is	be	AUX
easat-4570	228	32	repeated	repeat	VERB
easat-4570	228	33	by	by	ADP
easat-4570	228	34	changing	change	VERB
easat-4570	228	35	the	the	DET
easat-4570	228	36	number	number	NOUN
easat-4570	228	37	of	of	ADP
easat-4570	228	38	features	feature	NOUN
easat-4570	228	39	in	in	ADP
easat-4570	228	40	the	the	DET
easat-4570	228	41	training	training	NOUN
easat-4570	228	42	and	and	CCONJ
easat-4570	228	43	testing	testing	NOUN
easat-4570	228	44	process	process	NOUN
easat-4570	228	45	.	.	PUNCT
easat-4570	229	1	only	only	ADV
easat-4570	229	2	10	10	NUM
easat-4570	229	3	most	most	ADV
easat-4570	229	4	relevant	relevant	ADJ
easat-4570	229	5	features	feature	NOUN
easat-4570	229	6	are	be	AUX
easat-4570	229	7	selected	select	VERB
easat-4570	229	8	using	use	VERB
easat-4570	229	9	information	information	NOUN
easat-4570	229	10	gain	gain	NOUN
easat-4570	229	11	,	,	PUNCT
easat-4570	229	12	and	and	CCONJ
easat-4570	229	13	the	the	DET
easat-4570	229	14	evaluation	evaluation	NOUN
easat-4570	229	15	metrics	metric	NOUN
easat-4570	229	16	are	be	AUX
easat-4570	229	17	shown	show	VERB
easat-4570	229	18	in	in	ADP
easat-4570	229	19	table	table	NOUN
easat-4570	229	20	3	3	NUM
easat-4570	229	21	.	.	NOUN
easat-4570	229	22	695	695	NUM
easat-4570	229	23	edelweiss	edelweiss	PROPN
easat-4570	229	24	applied	apply	VERB
easat-4570	229	25	science	science	NOUN
easat-4570	229	26	and	and	CCONJ
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easat-4570	229	28	issn	issn	PROPN
easat-4570	229	29	:	:	PUNCT
easat-4570	229	30	2576	2576	NUM
easat-4570	229	31	-	-	SYM
easat-4570	229	32	8484	8484	NUM
easat-4570	229	33	vol	vol	NOUN
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easat-4570	230	2	,	,	PUNCT
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easat-4570	230	4	.	.	NOUN
easat-4570	230	5	2	2	NUM
easat-4570	230	6	:	:	PUNCT
easat-4570	230	7	682	682	NUM
easat-4570	230	8	-	-	SYM
easat-4570	230	9	707	707	NUM
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easat-4570	230	11	2025	2025	NUM
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easat-4570	230	13	:	:	PUNCT
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easat-4570	230	16	2025	2025	NUM
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easat-4570	230	20	;	;	PUNCT
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easat-4570	230	40	from	from	ADP
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easat-4570	230	44	d1	d1	NOUN
easat-4570	230	45	.	.	PUNCT
easat-4570	231	1	training	training	NOUN
easat-4570	231	2	process	process	NOUN
easat-4570	231	3	classifier	classifier	NOUN
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easat-4570	231	5	auc	auc	NOUN
easat-4570	231	6	ca	can	AUX
easat-4570	231	7	f1	f1	PROPN
easat-4570	231	8	prec	prec	PROPN
easat-4570	231	9	rec	rec	PROPN
easat-4570	231	10	mcc	mcc	PROPN
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easat-4570	231	13	5f	5f	PROPN
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easat-4570	231	15	5f	5f	PROPN
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easat-4570	231	17	5f	5f	PROPN
easat-4570	231	18	10f	10f	PROPN
easat-4570	231	19	5f	5f	PROPN
easat-4570	231	20	10f	10f	PROPN
easat-4570	232	1	5f	5f	PROPN
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easat-4570	232	4	iv3	iv3	VERB
easat-4570	232	5	0.994	0.994	NUM
easat-4570	232	6	0.994	0.994	NUM
easat-4570	232	7	0.97	0.97	NUM
easat-4570	232	8	0.958	0.958	NUM
easat-4570	232	9	0.97	0.97	NUM
easat-4570	232	10	0.959	0.959	NUM
easat-4570	232	11	0.971	0.971	NUM
easat-4570	232	12	0.96	0.96	NUM
easat-4570	232	13	0.97	0.97	NUM
easat-4570	232	14	0.958	0.958	NUM
easat-4570	232	15	0.956	0.956	NUM
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easat-4570	232	17	sn	sn	PROPN
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easat-4570	232	19	0.99	0.99	NUM
easat-4570	232	20	0.97	0.97	NUM
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easat-4570	232	22	0.97	0.97	NUM
easat-4570	232	23	0.964	0.964	NUM
easat-4570	232	24	0.971	0.971	NUM
easat-4570	232	25	0.964	0.964	NUM
easat-4570	232	26	0.97	0.97	NUM
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easat-4570	232	28	0.955	0.955	NUM
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easat-4570	232	30	vgg	vgg	NOUN
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easat-4570	232	35	0.946	0.946	NUM
easat-4570	232	36	0.964	0.964	NUM
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easat-4570	232	39	0.946	0.946	NUM
easat-4570	232	40	0.964	0.964	NUM
easat-4570	232	41	0.92	0.92	NUM
easat-4570	232	42	0.946	0.946	NUM
easat-4570	232	43	dt	dt	NOUN
easat-4570	232	44	iv3	iv3	PROPN
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easat-4570	232	46	0.934	0.934	NUM
easat-4570	232	47	0.911	0.911	NUM
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easat-4570	232	52	0.923	0.923	NUM
easat-4570	232	53	0.911	0.911	NUM
easat-4570	232	54	0.923	0.923	NUM
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easat-4570	232	57	sn	sn	NOUN
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easat-4570	232	59	0.955	0.955	NUM
easat-4570	232	60	0.911	0.911	NUM
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easat-4570	232	62	0.911	0.911	NUM
easat-4570	232	63	0.935	0.935	NUM
easat-4570	232	64	0.911	0.911	NUM
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easat-4570	232	68	0.866	0.866	NUM
easat-4570	232	69	0.902	0.902	NUM
easat-4570	232	70	vgg	vgg	NOUN
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easat-4570	232	79	0.893	0.893	NUM
easat-4570	232	80	0.869	0.869	NUM
easat-4570	232	81	0.839	0.839	NUM
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easat-4570	232	83	rf	rf	NOUN
easat-4570	232	84	iv3	iv3	NOUN
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easat-4570	232	87	0.911	0.911	NUM
easat-4570	232	88	0.958	0.958	NUM
easat-4570	232	89	0.91	0.91	NUM
easat-4570	232	90	0.959	0.959	NUM
easat-4570	232	91	0.91	0.91	NUM
easat-4570	232	92	0.961	0.961	NUM
easat-4570	232	93	0.911	0.911	NUM
easat-4570	232	94	0.958	0.958	NUM
easat-4570	232	95	0.866	0.866	NUM
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easat-4570	232	97	sn	sn	PROPN
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easat-4570	232	108	0.893	0.893	NUM
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easat-4570	232	110	vgg	vgg	NOUN
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easat-4570	232	112	0.99	0.99	NUM
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easat-4570	232	114	0.935	0.935	NUM
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easat-4570	232	117	0.947	0.947	NUM
easat-4570	232	118	0.934	0.934	NUM
easat-4570	232	119	0.946	0.946	NUM
easat-4570	232	120	0.935	0.935	NUM
easat-4570	232	121	0.92	0.92	NUM
easat-4570	232	122	0.902	0.902	NUM
easat-4570	232	123	ab	ab	PROPN
easat-4570	232	124	iv3	iv3	PROPN
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easat-4570	232	129	0.935	0.935	NUM
easat-4570	232	130	0.929	0.929	NUM
easat-4570	232	131	0.935	0.935	NUM
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easat-4570	232	133	0.935	0.935	NUM
easat-4570	232	134	0.929	0.929	NUM
easat-4570	232	135	0.902	0.902	NUM
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easat-4570	232	137	sn	sn	PROPN
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easat-4570	232	139	0.951	0.951	NUM
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easat-4570	232	144	0.905	0.905	NUM
easat-4570	232	145	0.936	0.936	NUM
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easat-4570	232	147	0.935	0.935	NUM
easat-4570	232	148	0.857	0.857	NUM
easat-4570	232	149	0.902	0.902	NUM
easat-4570	232	150	vgg	vgg	NOUN
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easat-4570	232	152	0.92	0.92	NUM
easat-4570	232	153	0.899	0.899	NUM
easat-4570	232	154	0.893	0.893	NUM
easat-4570	232	155	0.898	0.898	NUM
easat-4570	232	156	0.893	0.893	NUM
easat-4570	232	157	0.898	0.898	NUM
easat-4570	232	158	0.893	0.893	NUM
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easat-4570	232	160	0.893	0.893	NUM
easat-4570	232	161	0.849	0.849	NUM
easat-4570	232	162	0.84	0.84	NUM
easat-4570	232	163	nn	nn	PROPN
easat-4570	232	164	iv3	iv3	PROPN
easat-4570	232	165	0.998	0.998	NUM
easat-4570	232	166	0.998	0.998	NUM
easat-4570	232	167	0.958	0.958	NUM
easat-4570	232	168	0.958	0.958	NUM
easat-4570	232	169	0.958	0.958	NUM
easat-4570	232	170	0.958	0.958	NUM
easat-4570	232	171	0.959	0.959	NUM
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easat-4570	232	177	sn	sn	PROPN
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easat-4570	232	179	0.998	0.998	NUM
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easat-4570	232	190	vgg	vgg	NOUN
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easat-4570	233	1	0.998	0.998	NUM
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easat-4570	233	12	nb	nb	NOUN
easat-4570	233	13	iv3	iv3	PROPN
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easat-4570	234	7	0.947	0.947	NUM
easat-4570	234	8	0.94	0.94	NUM
easat-4570	234	9	0.946	0.946	NUM
easat-4570	234	10	0.911	0.911	NUM
easat-4570	234	11	0.92	0.92	NUM
easat-4570	234	12	sn	sn	NOUN
easat-4570	234	13	0.997	0.997	NUM
easat-4570	234	14	0.997	0.997	NUM
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easat-4570	234	17	0.97	0.97	NUM
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easat-4570	234	21	0.97	0.97	NUM
easat-4570	234	22	0.97	0.97	NUM
easat-4570	234	23	0.955	0.955	NUM
easat-4570	234	24	0.956	0.956	NUM
easat-4570	234	25	vgg	vgg	NOUN
easat-4570	234	26	0.996	0.996	NUM
easat-4570	234	27	0.996	0.996	NUM
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easat-4570	234	33	0.956	0.956	NUM
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easat-4570	234	35	0.952	0.952	NUM
easat-4570	234	36	0.912	0.912	NUM
easat-4570	234	37	0.93	0.93	NUM
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easat-4570	235	1	auc	auc	NOUN
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easat-4570	235	3	f1	f1	PROPN
easat-4570	235	4	prec	prec	PROPN
easat-4570	235	5	rec	rec	PROPN
easat-4570	235	6	mcc	mcc	PROPN
easat-4570	235	7	knn	knn	PROPN
easat-4570	235	8	iv3	iv3	PROPN
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easat-4570	235	10	0.952	0.952	NUM
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easat-4570	235	12	0.958	0.958	NUM
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easat-4570	235	15	sn	sn	PROPN
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easat-4570	235	19	0.978	0.978	NUM
easat-4570	235	20	0.976	0.976	NUM
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easat-4570	235	22	vgg	vgg	NOUN
easat-4570	235	23	1	1	NUM
easat-4570	235	24	0.976	0.976	NUM
easat-4570	235	25	0.976	0.976	NUM
easat-4570	235	26	0.978	0.978	NUM
easat-4570	235	27	0.976	0.976	NUM
easat-4570	235	28	0.965	0.965	NUM
easat-4570	235	29	dt	dt	PART
easat-4570	235	30	iv3	iv3	PROPN
easat-4570	235	31	0.962	0.962	NUM
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easat-4570	235	37	sn	sn	NOUN
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easat-4570	235	42	0.869	0.869	NUM
easat-4570	235	43	0.805	0.805	NUM
easat-4570	235	44	vgg	vgg	VERB
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easat-4570	235	52	iv3	iv3	NOUN
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easat-4570	235	59	sn	sn	PROPN
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easat-4570	235	63	0.978	0.978	NUM
easat-4570	235	64	0.976	0.976	NUM
easat-4570	235	65	0.965	0.965	NUM
easat-4570	235	66	vgg	vgg	NOUN
easat-4570	235	67	0.999	0.999	NUM
easat-4570	235	68	0.952	0.952	NUM
easat-4570	235	69	0.953	0.953	NUM
easat-4570	235	70	0.958	0.958	NUM
easat-4570	235	71	0.952	0.952	NUM
easat-4570	235	72	0.931	0.931	NUM
easat-4570	235	73	ab	ab	PART
easat-4570	235	74	iv3	iv3	PROPN
easat-4570	235	75	0.955	0.955	NUM
easat-4570	235	76	0.94	0.94	NUM
easat-4570	235	77	0.94	0.94	NUM
easat-4570	235	78	0.949	0.949	NUM
easat-4570	235	79	0.94	0.94	NUM
easat-4570	235	80	0.916	0.916	NUM
easat-4570	235	81	sn	sn	NOUN
easat-4570	235	82	0.902	0.902	NUM
easat-4570	235	83	0.869	0.869	NUM
easat-4570	235	84	0.87	0.87	NUM
easat-4570	235	85	0.877	0.877	NUM
easat-4570	235	86	0.869	0.869	NUM
easat-4570	235	87	0.806	0.806	NUM
easat-4570	235	88	vgg	vgg	NOUN
easat-4570	235	89	0.955	0.955	NUM
easat-4570	235	90	0.94	0.94	NUM
easat-4570	235	91	0.941	0.941	NUM
easat-4570	235	92	0.949	0.949	NUM
easat-4570	235	93	0.94	0.94	NUM
easat-4570	235	94	0.914	0.914	NUM
easat-4570	235	95	nn	nn	ADP
easat-4570	235	96	iv3	iv3	PROPN
easat-4570	235	97	0.999	0.999	NUM
easat-4570	235	98	0.964	0.964	NUM
easat-4570	235	99	0.964	0.964	NUM
easat-4570	235	100	0.966	0.966	NUM
easat-4570	235	101	0.964	0.964	NUM
easat-4570	235	102	0.947	0.947	NUM
easat-4570	235	103	sn	sn	PROPN
easat-4570	235	104	0.998	0.998	NUM
easat-4570	235	105	0.976	0.976	NUM
easat-4570	235	106	0.976	0.976	NUM
easat-4570	235	107	0.976	0.976	NUM
easat-4570	235	108	0.976	0.976	NUM
easat-4570	235	109	0.964	0.964	NUM
easat-4570	235	110	vgg	vgg	NOUN
easat-4570	235	111	1	1	NUM
easat-4570	235	112	1	1	NUM
easat-4570	235	113	1	1	NUM
easat-4570	235	114	1	1	NUM
easat-4570	235	115	1	1	NUM
easat-4570	235	116	1	1	NUM
easat-4570	235	117	nb	nb	NOUN
easat-4570	235	118	iv3	iv3	NOUN
easat-4570	235	119	0.994	0.994	NUM
easat-4570	235	120	0.917	0.917	NUM
easat-4570	235	121	0.915	0.915	NUM
easat-4570	235	122	0.922	0.922	NUM
easat-4570	235	123	0.917	0.917	NUM
easat-4570	235	124	0.879	0.879	NUM
easat-4570	235	125	sn	sn	PROPN
easat-4570	235	126	0.995	0.995	NUM
easat-4570	235	127	0.976	0.976	NUM
easat-4570	235	128	0.976	0.976	NUM
easat-4570	235	129	0.978	0.978	NUM
easat-4570	235	130	0.976	0.976	NUM
easat-4570	235	131	0.965	0.965	NUM
easat-4570	235	132	vgg	vgg	NOUN
easat-4570	235	133	1	1	NUM
easat-4570	235	134	1	1	NUM
easat-4570	235	135	1	1	NUM
easat-4570	235	136	1	1	NUM
easat-4570	235	137	1	1	NUM
easat-4570	235	138	1	1	NUM
easat-4570	235	139	there	there	PRON
easat-4570	235	140	is	be	VERB
easat-4570	235	141	a	a	DET
easat-4570	235	142	constant	constant	ADJ
easat-4570	235	143	superiority	superiority	NOUN
easat-4570	235	144	of	of	ADP
easat-4570	235	145	10	10	NUM
easat-4570	235	146	-	-	NOUN
easat-4570	235	147	fold	fold	VERB
easat-4570	235	148	over	over	ADV
easat-4570	235	149	5	5	NUM
easat-4570	235	150	-	-	ADJ
easat-4570	235	151	fold	fold	ADJ
easat-4570	235	152	cross	cross	ADJ
easat-4570	235	153	validation	validation	NOUN
easat-4570	235	154	splitting	splitting	NOUN
easat-4570	235	155	schemes	scheme	NOUN
easat-4570	235	156	for	for	ADP
easat-4570	235	157	all	all	DET
easat-4570	235	158	the	the	DET
easat-4570	235	159	classification	classification	NOUN
easat-4570	235	160	accuracy	accuracy	NOUN
easat-4570	235	161	metrics	metric	NOUN
easat-4570	235	162	,	,	PUNCT
easat-4570	235	163	i.e.	i.e.	X
easat-4570	235	164	for	for	ADP
easat-4570	235	165	a	a	DET
easat-4570	235	166	total	total	NOUN
easat-4570	235	167	of	of	ADP
easat-4570	235	168	18	18	NUM
easat-4570	235	169	different	different	ADJ
easat-4570	235	170	combinations	combination	NOUN
easat-4570	235	171	of	of	ADP
easat-4570	235	172	three	three	NUM
easat-4570	235	173	architectures	architecture	NOUN
easat-4570	235	174	and	and	CCONJ
easat-4570	235	175	six	six	NUM
easat-4570	235	176	classifiers	classifier	NOUN
easat-4570	235	177	.	.	PUNCT
easat-4570	236	1	the	the	DET
easat-4570	236	2	highest	high	ADJ
easat-4570	236	3	difference	difference	NOUN
easat-4570	236	4	between	between	ADP
easat-4570	236	5	the	the	DET
easat-4570	236	6	two	two	NUM
easat-4570	236	7	splitting	splitting	NOUN
easat-4570	236	8	schemes	scheme	NOUN
easat-4570	236	9	is	be	AUX
easat-4570	236	10	observed	observe	VERB
easat-4570	236	11	for	for	ADP
easat-4570	236	12	the	the	DET
easat-4570	236	13	mcc	mcc	NOUN
easat-4570	236	14	metrics	metric	NOUN
easat-4570	236	15	with	with	ADP
easat-4570	236	16	an	an	DET
easat-4570	236	17	average	average	NOUN
easat-4570	236	18	of	of	ADP
easat-4570	236	19	1	1	NUM
easat-4570	236	20	%	%	NOUN
easat-4570	236	21	higher	high	ADJ
easat-4570	236	22	.	.	PUNCT
easat-4570	237	1	a	a	DET
easat-4570	237	2	distinct	distinct	ADJ
easat-4570	237	3	higher	high	ADJ
easat-4570	237	4	classification	classification	NOUN
easat-4570	237	5	accuracy	accuracy	NOUN
easat-4570	237	6	is	be	AUX
easat-4570	237	7	observed	observe	VERB
easat-4570	237	8	for	for	ADP
easat-4570	237	9	squeezenet	squeezenet	NOUN
easat-4570	237	10	696	696	NUM
easat-4570	237	11	edelweiss	edelweiss	PROPN
easat-4570	237	12	applied	apply	VERB
easat-4570	237	13	science	science	NOUN
easat-4570	237	14	and	and	CCONJ
easat-4570	237	15	technology	technology	NOUN
easat-4570	237	16	issn	issn	PROPN
easat-4570	237	17	:	:	PUNCT
easat-4570	237	18	2576	2576	NUM
easat-4570	237	19	-	-	SYM
easat-4570	237	20	8484	8484	NUM
easat-4570	237	21	vol	vol	NOUN
easat-4570	237	22	.	.	PROPN
easat-4570	238	1	9	9	NUM
easat-4570	238	2	,	,	PUNCT
easat-4570	238	3	no	no	INTJ
easat-4570	238	4	.	.	NOUN
easat-4570	238	5	2	2	NUM
easat-4570	238	6	:	:	PUNCT
easat-4570	238	7	682	682	NUM
easat-4570	238	8	-	-	SYM
easat-4570	238	9	707	707	NUM
easat-4570	238	10	,	,	PUNCT
easat-4570	238	11	2025	2025	NUM
easat-4570	238	12	doi	doi	NOUN
easat-4570	238	13	:	:	PUNCT
easat-4570	238	14	10.55214/25768484.v9i2.4570	10.55214/25768484.v9i2.4570	NUM
easat-4570	238	15	©	©	PROPN
easat-4570	238	16	2025	2025	NUM
easat-4570	238	17	by	by	ADP
easat-4570	238	18	the	the	DET
easat-4570	238	19	authors	author	NOUN
easat-4570	238	20	;	;	PUNCT
easat-4570	238	21	licensee	licensee	NOUN
easat-4570	238	22	learning	learn	VERB
easat-4570	238	23	gate	gate	NOUN
easat-4570	238	24	architecture	architecture	NOUN
easat-4570	238	25	for	for	ADP
easat-4570	238	26	most	most	ADJ
easat-4570	238	27	of	of	ADP
easat-4570	238	28	the	the	DET
easat-4570	238	29	accuracy	accuracy	NOUN
easat-4570	238	30	metrics	metric	NOUN
easat-4570	238	31	and	and	CCONJ
easat-4570	238	32	the	the	DET
easat-4570	238	33	highest	high	ADJ
easat-4570	238	34	values	value	NOUN
easat-4570	238	35	are	be	AUX
easat-4570	238	36	observed	observe	VERB
easat-4570	238	37	when	when	SCONJ
easat-4570	238	38	squeezenet	squeezenet	NOUN
easat-4570	238	39	is	be	AUX
easat-4570	238	40	paired	pair	VERB
easat-4570	238	41	with	with	ADP
easat-4570	238	42	random	random	ADJ
easat-4570	238	43	forest	forest	NOUN
easat-4570	238	44	and	and	CCONJ
easat-4570	238	45	adaboost	adaboost	ADJ
easat-4570	238	46	classifiers	classifier	NOUN
easat-4570	238	47	.	.	PUNCT
easat-4570	239	1	auc	auc	NOUN
easat-4570	239	2	,	,	PUNCT
easat-4570	239	3	ca	ca	NOUN
easat-4570	239	4	and	and	CCONJ
easat-4570	239	5	f1	f1	PROPN
easat-4570	239	6	scores	score	NOUN
easat-4570	239	7	are	be	AUX
easat-4570	239	8	generally	generally	ADV
easat-4570	239	9	high	high	ADJ
easat-4570	239	10	with	with	ADP
easat-4570	239	11	small	small	ADJ
easat-4570	239	12	variations	variation	NOUN
easat-4570	239	13	among	among	ADP
easat-4570	239	14	all	all	DET
easat-4570	239	15	the	the	DET
easat-4570	239	16	architecture	architecture	NOUN
easat-4570	239	17	-	-	PUNCT
easat-4570	239	18	classifier	classifier	NOUN
easat-4570	239	19	pairs	pair	NOUN
easat-4570	239	20	.	.	PUNCT
easat-4570	240	1	precision	precision	NOUN
easat-4570	240	2	exhibits	exhibit	VERB
easat-4570	240	3	some	some	DET
easat-4570	240	4	occasional	occasional	ADJ
easat-4570	240	5	dips	dip	NOUN
easat-4570	240	6	from	from	ADP
easat-4570	240	7	generally	generally	ADV
easat-4570	240	8	high	high	ADJ
easat-4570	240	9	values	value	NOUN
easat-4570	240	10	,	,	PUNCT
easat-4570	240	11	and	and	CCONJ
easat-4570	240	12	this	this	PRON
easat-4570	240	13	could	could	AUX
easat-4570	240	14	be	be	AUX
easat-4570	240	15	attributed	attribute	VERB
easat-4570	240	16	to	to	ADP
easat-4570	240	17	the	the	DET
easat-4570	240	18	prioritization	prioritization	NOUN
easat-4570	240	19	of	of	ADP
easat-4570	240	20	recall	recall	NOUN
easat-4570	240	21	over	over	ADP
easat-4570	240	22	precision	precision	NOUN
easat-4570	240	23	by	by	ADP
easat-4570	240	24	some	some	DET
easat-4570	240	25	models	model	NOUN
easat-4570	240	26	.	.	PUNCT
easat-4570	241	1	the	the	DET
easat-4570	241	2	relative	relative	ADJ
easat-4570	241	3	dependence	dependence	NOUN
easat-4570	241	4	of	of	ADP
easat-4570	241	5	recall	recall	NOUN
easat-4570	241	6	over	over	ADP
easat-4570	241	7	the	the	DET
easat-4570	241	8	precision	precision	NOUN
easat-4570	241	9	dependence	dependence	NOUN
easat-4570	241	10	on	on	ADP
easat-4570	241	11	the	the	DET
easat-4570	241	12	chosen	choose	VERB
easat-4570	241	13	architecture	architecture	NOUN
easat-4570	241	14	has	have	AUX
easat-4570	241	15	been	be	AUX
easat-4570	241	16	reported	report	VERB
easat-4570	241	17	earlier	early	ADV
easat-4570	241	18	in	in	ADP
easat-4570	241	19	the	the	DET
easat-4570	241	20	literature	literature	NOUN
easat-4570	241	21	[	[	X
easat-4570	241	22	74	74	NUM
easat-4570	241	23	]	]	PUNCT
easat-4570	241	24	and	and	CCONJ
easat-4570	241	25	our	our	PRON
easat-4570	241	26	results	result	NOUN
easat-4570	241	27	here	here	ADV
easat-4570	241	28	indicate	indicate	VERB
easat-4570	241	29	a	a	DET
easat-4570	241	30	similar	similar	ADJ
easat-4570	241	31	pattern	pattern	NOUN
easat-4570	241	32	.	.	PUNCT
easat-4570	242	1	mcc	mcc	PROPN
easat-4570	242	2	shows	show	VERB
easat-4570	242	3	a	a	DET
easat-4570	242	4	higher	high	ADJ
easat-4570	242	5	variation	variation	NOUN
easat-4570	242	6	among	among	ADP
easat-4570	242	7	the	the	DET
easat-4570	242	8	used	use	VERB
easat-4570	242	9	metrics	metric	NOUN
easat-4570	242	10	and	and	CCONJ
easat-4570	242	11	this	this	PRON
easat-4570	242	12	is	be	AUX
easat-4570	242	13	an	an	DET
easat-4570	242	14	example	example	NOUN
easat-4570	242	15	of	of	ADP
easat-4570	242	16	a	a	DET
easat-4570	242	17	metric	metric	NOUN
easat-4570	242	18	that	that	PRON
easat-4570	242	19	is	be	AUX
easat-4570	242	20	more	more	ADV
easat-4570	242	21	sensitive	sensitive	ADJ
easat-4570	242	22	to	to	ADP
easat-4570	242	23	the	the	DET
easat-4570	242	24	choice	choice	NOUN
easat-4570	242	25	of	of	ADP
easat-4570	242	26	the	the	DET
easat-4570	242	27	feature	feature	NOUN
easat-4570	242	28	extractor	extractor	NOUN
easat-4570	242	29	.	.	PUNCT
easat-4570	243	1	neural	neural	ADJ
easat-4570	243	2	network	network	NOUN
easat-4570	243	3	is	be	AUX
easat-4570	243	4	observed	observe	VERB
easat-4570	243	5	to	to	PART
easat-4570	243	6	be	be	AUX
easat-4570	243	7	the	the	DET
easat-4570	243	8	best	good	ADJ
easat-4570	243	9	classifier	classifier	NOUN
easat-4570	243	10	across	across	ADP
easat-4570	243	11	all	all	DET
easat-4570	243	12	the	the	DET
easat-4570	243	13	feature	feature	NOUN
easat-4570	243	14	extraction	extraction	NOUN
easat-4570	243	15	architectures	architecture	NOUN
easat-4570	243	16	used	use	VERB
easat-4570	243	17	,	,	PUNCT
easat-4570	243	18	indicating	indicate	VERB
easat-4570	243	19	as	as	ADP
easat-4570	243	20	an	an	DET
easat-4570	243	21	appropriate	appropriate	ADJ
easat-4570	243	22	choice	choice	NOUN
easat-4570	243	23	for	for	ADP
easat-4570	243	24	this	this	DET
easat-4570	243	25	dataset	dataset	NOUN
easat-4570	243	26	and	and	CCONJ
easat-4570	243	27	possibly	possibly	ADV
easat-4570	243	28	for	for	ADP
easat-4570	243	29	other	other	ADJ
easat-4570	243	30	datasets	dataset	NOUN
easat-4570	243	31	too	too	ADV
easat-4570	243	32	.	.	PUNCT
easat-4570	244	1	4.2	4.2	NUM
easat-4570	244	2	.	.	PUNCT
easat-4570	244	3	dataset	dataset	VERB
easat-4570	244	4	2	2	NUM
easat-4570	244	5	results	result	NOUN
easat-4570	244	6	in	in	ADP
easat-4570	244	7	the	the	DET
easat-4570	244	8	table	table	NOUN
easat-4570	244	9	4	4	NUM
easat-4570	244	10	below	below	ADV
easat-4570	244	11	are	be	AUX
easat-4570	244	12	reported	report	VERB
easat-4570	244	13	the	the	DET
easat-4570	244	14	classification	classification	NOUN
easat-4570	244	15	performance	performance	NOUN
easat-4570	244	16	based	base	VERB
easat-4570	244	17	on	on	ADP
easat-4570	244	18	six	six	NUM
easat-4570	244	19	evaluation	evaluation	NOUN
easat-4570	244	20	metrics	metric	NOUN
easat-4570	244	21	as	as	SCONJ
easat-4570	244	22	all	all	DET
easat-4570	244	23	features	feature	NOUN
easat-4570	244	24	extracted	extract	VERB
easat-4570	244	25	from	from	ADP
easat-4570	244	26	the	the	DET
easat-4570	244	27	three	three	NUM
easat-4570	244	28	architectures	architecture	NOUN
easat-4570	244	29	were	be	AUX
easat-4570	244	30	used	use	VERB
easat-4570	244	31	when	when	SCONJ
easat-4570	244	32	d2	d2	PROPN
easat-4570	244	33	is	be	AUX
easat-4570	244	34	used	use	VERB
easat-4570	244	35	instead	instead	ADV
easat-4570	244	36	of	of	ADP
easat-4570	244	37	d1	d1	NOUN
easat-4570	244	38	.	.	PUNCT
easat-4570	245	1	here	here	ADV
easat-4570	245	2	the	the	DET
easat-4570	245	3	size	size	NOUN
easat-4570	245	4	of	of	ADP
easat-4570	245	5	the	the	DET
easat-4570	245	6	images	image	NOUN
easat-4570	245	7	is	be	AUX
easat-4570	245	8	256	256	NUM
easat-4570	245	9	x	x	SYM
easat-4570	245	10	256	256	NUM
easat-4570	245	11	pixels	pixel	NOUN
easat-4570	245	12	and	and	CCONJ
easat-4570	245	13	the	the	DET
easat-4570	245	14	total	total	ADJ
easat-4570	245	15	number	number	NOUN
easat-4570	245	16	of	of	ADP
easat-4570	245	17	the	the	DET
easat-4570	245	18	images	image	NOUN
easat-4570	245	19	that	that	PRON
easat-4570	245	20	are	be	AUX
easat-4570	245	21	used	use	VERB
easat-4570	245	22	is	be	AUX
easat-4570	245	23	3156	3156	NUM
easat-4570	245	24	images	image	NOUN
easat-4570	245	25	with	with	ADP
easat-4570	245	26	66	66	NUM
easat-4570	245	27	%	%	NOUN
easat-4570	245	28	of	of	ADP
easat-4570	245	29	the	the	DET
easat-4570	245	30	images	image	NOUN
easat-4570	245	31	used	use	VERB
easat-4570	245	32	for	for	ADP
easat-4570	245	33	training	training	NOUN
easat-4570	245	34	and	and	CCONJ
easat-4570	245	35	34	34	NUM
easat-4570	245	36	%	%	NOUN
easat-4570	245	37	used	use	VERB
easat-4570	245	38	for	for	ADP
easat-4570	245	39	testing	testing	NOUN
easat-4570	245	40	.	.	PUNCT
easat-4570	246	1	in	in	ADP
easat-4570	246	2	terms	term	NOUN
easat-4570	246	3	,	,	PUNCT
easat-4570	246	4	the	the	DET
easat-4570	246	5	average	average	NOUN
easat-4570	246	6	of	of	ADP
easat-4570	246	7	all	all	DET
easat-4570	246	8	the	the	DET
easat-4570	246	9	metrics	metric	NOUN
easat-4570	246	10	,	,	PUNCT
easat-4570	246	11	vgg16	vgg16	NOUN
easat-4570	246	12	performs	perform	VERB
easat-4570	246	13	better	well	ADV
easat-4570	246	14	(	(	PUNCT
easat-4570	246	15	0.8969	0.8969	NUM
easat-4570	246	16	)	)	PUNCT
easat-4570	246	17	than	than	ADP
easat-4570	246	18	inception	inception	PROPN
easat-4570	246	19	v3	v3	PROPN
easat-4570	246	20	(	(	PUNCT
easat-4570	246	21	0.8675	0.8675	NUM
easat-4570	246	22	)	)	PUNCT
easat-4570	246	23	and	and	CCONJ
easat-4570	246	24	squeezenet	squeezenet	NOUN
easat-4570	246	25	(	(	PUNCT
easat-4570	246	26	0.8618	0.8618	NUM
easat-4570	246	27	)	)	PUNCT
easat-4570	246	28	architectures	architecture	NOUN
easat-4570	246	29	and	and	CCONJ
easat-4570	246	30	this	this	PRON
easat-4570	246	31	could	could	AUX
easat-4570	246	32	be	be	AUX
easat-4570	246	33	because	because	SCONJ
easat-4570	246	34	of	of	ADP
easat-4570	246	35	its	its	PRON
easat-4570	246	36	deeper	deep	ADJ
easat-4570	246	37	architecture	architecture	NOUN
easat-4570	246	38	that	that	PRON
easat-4570	246	39	can	can	AUX
easat-4570	246	40	facilitate	facilitate	VERB
easat-4570	246	41	identification	identification	NOUN
easat-4570	246	42	of	of	ADP
easat-4570	246	43	key	key	ADJ
easat-4570	246	44	features	feature	NOUN
easat-4570	246	45	that	that	PRON
easat-4570	246	46	can	can	AUX
easat-4570	246	47	provide	provide	VERB
easat-4570	246	48	higher	high	ADJ
easat-4570	246	49	classification	classification	NOUN
easat-4570	246	50	accuracy	accuracy	NOUN
easat-4570	246	51	.	.	PUNCT
easat-4570	247	1	its	its	PRON
easat-4570	247	2	superiority	superiority	NOUN
easat-4570	247	3	is	be	AUX
easat-4570	247	4	obvious	obvious	ADJ
easat-4570	247	5	particularly	particularly	ADV
easat-4570	247	6	in	in	ADP
easat-4570	247	7	the	the	DET
easat-4570	247	8	testing	testing	NOUN
easat-4570	247	9	phase	phase	NOUN
easat-4570	247	10	.	.	PUNCT
easat-4570	248	1	comparing	compare	VERB
easat-4570	248	2	the	the	DET
easat-4570	248	3	classifiers	classifier	NOUN
easat-4570	248	4	,	,	PUNCT
easat-4570	248	5	a	a	DET
easat-4570	248	6	superiority	superiority	NOUN
easat-4570	248	7	of	of	ADP
easat-4570	248	8	neural	neural	ADJ
easat-4570	248	9	networks	network	NOUN
easat-4570	248	10	is	be	AUX
easat-4570	248	11	observed	observe	VERB
easat-4570	248	12	(	(	PUNCT
easat-4570	248	13	average	average	NOUN
easat-4570	248	14	of	of	ADP
easat-4570	248	15	0.9421	0.9421	NUM
easat-4570	248	16	across	across	ADP
easat-4570	248	17	all	all	DET
easat-4570	248	18	metrics	metric	NOUN
easat-4570	248	19	)	)	PUNCT
easat-4570	248	20	and	and	CCONJ
easat-4570	248	21	this	this	PRON
easat-4570	248	22	could	could	AUX
easat-4570	248	23	be	be	AUX
easat-4570	248	24	due	due	ADJ
easat-4570	248	25	to	to	ADP
easat-4570	248	26	its	its	PRON
easat-4570	248	27	characteristic	characteristic	NOUN
easat-4570	248	28	of	of	ADP
easat-4570	248	29	identifying	identify	VERB
easat-4570	248	30	complex	complex	ADJ
easat-4570	248	31	patterns	pattern	NOUN
easat-4570	248	32	.	.	PUNCT
easat-4570	249	1	neural	neural	ADJ
easat-4570	249	2	network	network	NOUN
easat-4570	249	3	classifier	classifier	NOUN
easat-4570	249	4	is	be	AUX
easat-4570	249	5	followed	follow	VERB
easat-4570	249	6	by	by	ADP
easat-4570	249	7	knn	knn	PROPN
easat-4570	249	8	(	(	PUNCT
easat-4570	249	9	0.9148	0.9148	NUM
easat-4570	249	10	)	)	PUNCT
easat-4570	249	11	,	,	PUNCT
easat-4570	249	12	random	random	ADJ
easat-4570	249	13	forest	forest	NOUN
easat-4570	249	14	(	(	PUNCT
easat-4570	249	15	0.8936	0.8936	PROPN
easat-4570	249	16	)	)	PUNCT
easat-4570	249	17	,	,	PUNCT
easat-4570	249	18	adaboost	adaboost	ADV
easat-4570	249	19	(	(	PUNCT
easat-4570	249	20	0.9107	0.9107	NUM
easat-4570	249	21	)	)	PUNCT
easat-4570	249	22	,	,	PUNCT
easat-4570	249	23	naïve	naïve	ADJ
easat-4570	249	24	bayes	bayes	NOUN
easat-4570	249	25	(	(	PUNCT
easat-4570	249	26	0.8326	0.8326	NUM
easat-4570	249	27	)	)	PUNCT
easat-4570	249	28	and	and	CCONJ
easat-4570	249	29	adaboost	adaboost	ADV
easat-4570	249	30	(	(	PUNCT
easat-4570	249	31	0.8260	0.8260	NUM
easat-4570	249	32	)	)	PUNCT
easat-4570	249	33	.	.	PUNCT
easat-4570	250	1	the	the	DET
easat-4570	250	2	observation	observation	NOUN
easat-4570	250	3	on	on	ADP
easat-4570	250	4	the	the	DET
easat-4570	250	5	underperformance	underperformance	NOUN
easat-4570	250	6	of	of	ADP
easat-4570	250	7	decision	decision	NOUN
easat-4570	250	8	tree	tree	NOUN
easat-4570	250	9	classifiers	classifier	NOUN
easat-4570	250	10	is	be	AUX
easat-4570	250	11	a	a	DET
easat-4570	250	12	confirmation	confirmation	NOUN
easat-4570	250	13	of	of	ADP
easat-4570	250	14	prior	prior	ADJ
easat-4570	250	15	results	result	NOUN
easat-4570	250	16	that	that	PRON
easat-4570	250	17	are	be	AUX
easat-4570	250	18	related	relate	VERB
easat-4570	250	19	with	with	ADP
easat-4570	250	20	its	its	PRON
easat-4570	250	21	difficulty	difficulty	NOUN
easat-4570	250	22	in	in	ADP
easat-4570	250	23	high	high	ADJ
easat-4570	250	24	dimensional	dimensional	ADJ
easat-4570	250	25	data	datum	NOUN
easat-4570	250	26	[	[	X
easat-4570	250	27	75	75	NUM
easat-4570	250	28	]	]	PUNCT
easat-4570	250	29	.	.	PUNCT
easat-4570	251	1	vgg16	vgg16	NOUN
easat-4570	251	2	architecture	architecture	NOUN
easat-4570	251	3	performs	perform	VERB
easat-4570	251	4	best	good	ADJ
easat-4570	251	5	when	when	SCONJ
easat-4570	251	6	neural	neural	ADJ
easat-4570	251	7	networks	network	NOUN
easat-4570	251	8	,	,	PUNCT
easat-4570	251	9	knn	knn	PROPN
easat-4570	251	10	,	,	PUNCT
easat-4570	251	11	and	and	CCONJ
easat-4570	251	12	random	random	ADJ
easat-4570	251	13	forest	forest	NOUN
easat-4570	251	14	classifiers	classifier	NOUN
easat-4570	251	15	are	be	AUX
easat-4570	251	16	used	use	VERB
easat-4570	251	17	with	with	ADP
easat-4570	251	18	the	the	DET
easat-4570	251	19	cell	cell	NOUN
easat-4570	251	20	images	image	NOUN
easat-4570	251	21	dataset	dataset	NOUN
easat-4570	251	22	.	.	PUNCT
easat-4570	252	1	the	the	DET
easat-4570	252	2	metrics	metric	NOUN
easat-4570	252	3	with	with	ADP
easat-4570	252	4	higher	high	ADJ
easat-4570	252	5	reported	report	VERB
easat-4570	252	6	values	value	NOUN
easat-4570	252	7	are	be	AUX
easat-4570	252	8	auc	auc	ADJ
easat-4570	252	9	,	,	PUNCT
easat-4570	252	10	ca	ca	NOUN
easat-4570	252	11	and	and	CCONJ
easat-4570	252	12	f1	f1	PROPN
easat-4570	252	13	scores	score	NOUN
easat-4570	252	14	.	.	PUNCT
easat-4570	253	1	inception	inception	PROPN
easat-4570	253	2	v3	v3	PROPN
easat-4570	253	3	performs	perform	VERB
easat-4570	253	4	well	well	ADV
easat-4570	253	5	when	when	SCONJ
easat-4570	253	6	neural	neural	ADJ
easat-4570	253	7	networks	network	NOUN
easat-4570	253	8	and	and	CCONJ
easat-4570	253	9	knn	knn	PROPN
easat-4570	253	10	are	be	AUX
easat-4570	253	11	used	use	VERB
easat-4570	253	12	as	as	ADP
easat-4570	253	13	classifiers	classifier	NOUN
easat-4570	253	14	.	.	PUNCT
easat-4570	254	1	ca	can	AUX
easat-4570	254	2	and	and	CCONJ
easat-4570	254	3	rec	rec	NOUN
easat-4570	254	4	for	for	ADP
easat-4570	254	5	inception	inception	NOUN
easat-4570	254	6	v3	v3	PROPN
easat-4570	254	7	results	result	NOUN
easat-4570	254	8	are	be	AUX
easat-4570	254	9	slightly	slightly	ADV
easat-4570	254	10	lower	low	ADJ
easat-4570	254	11	than	than	ADP
easat-4570	254	12	vgg16	vgg16	NOUN
easat-4570	254	13	.	.	PUNCT
easat-4570	255	1	squeezenet	squeezenet	NOUN
easat-4570	255	2	underperforms	underperform	NOUN
easat-4570	255	3	when	when	SCONJ
easat-4570	255	4	compared	compare	VERB
easat-4570	255	5	to	to	ADP
easat-4570	255	6	the	the	DET
easat-4570	255	7	other	other	ADJ
easat-4570	255	8	two	two	NUM
easat-4570	255	9	architectures	architecture	NOUN
easat-4570	255	10	,	,	PUNCT
easat-4570	255	11	particularly	particularly	ADV
easat-4570	255	12	with	with	ADP
easat-4570	255	13	naïve	naïve	ADJ
easat-4570	255	14	bayes	bayes	NOUN
easat-4570	255	15	and	and	CCONJ
easat-4570	255	16	decision	decision	NOUN
easat-4570	255	17	trees	tree	NOUN
easat-4570	255	18	.	.	PUNCT
easat-4570	256	1	classifiers	classifier	NOUN
easat-4570	256	2	compare	compare	VERB
easat-4570	256	3	differently	differently	ADV
easat-4570	256	4	when	when	SCONJ
easat-4570	256	5	combined	combine	VERB
easat-4570	256	6	with	with	ADP
easat-4570	256	7	different	different	ADJ
easat-4570	256	8	architectures	architecture	NOUN
easat-4570	256	9	across	across	ADP
easat-4570	256	10	different	different	ADJ
easat-4570	256	11	performance	performance	NOUN
easat-4570	256	12	evaluation	evaluation	NOUN
easat-4570	256	13	metrics	metric	NOUN
easat-4570	256	14	.	.	PUNCT
easat-4570	257	1	in	in	ADP
easat-4570	257	2	terms	term	NOUN
easat-4570	257	3	of	of	ADP
easat-4570	257	4	auc	auc	NOUN
easat-4570	257	5	,	,	PUNCT
easat-4570	257	6	ca	ca	NOUN
easat-4570	257	7	and	and	CCONJ
easat-4570	257	8	f1	f1	PROPN
easat-4570	257	9	score	score	NOUN
easat-4570	257	10	,	,	PUNCT
easat-4570	257	11	neural	neural	ADJ
easat-4570	257	12	networks	network	NOUN
easat-4570	257	13	paired	pair	VERB
easat-4570	257	14	with	with	ADP
easat-4570	257	15	the	the	DET
easat-4570	257	16	vgg16	vgg16	NOUN
easat-4570	257	17	constitute	constitute	VERB
easat-4570	257	18	a	a	DET
easat-4570	257	19	good	good	ADJ
easat-4570	257	20	combination	combination	NOUN
easat-4570	257	21	.	.	PUNCT
easat-4570	258	1	considering	consider	VERB
easat-4570	258	2	that	that	SCONJ
easat-4570	258	3	knn	knn	PROPN
easat-4570	258	4	is	be	AUX
easat-4570	258	5	a	a	DET
easat-4570	258	6	very	very	ADV
easat-4570	258	7	simple	simple	ADJ
easat-4570	258	8	classifier	classifier	NOUN
easat-4570	258	9	it	it	PRON
easat-4570	258	10	still	still	ADV
easat-4570	258	11	performs	perform	VERB
easat-4570	258	12	well	well	ADV
easat-4570	258	13	when	when	SCONJ
easat-4570	258	14	feature	feature	NOUN
easat-4570	258	15	vectors	vector	NOUN
easat-4570	258	16	extracted	extract	VERB
easat-4570	258	17	from	from	ADP
easat-4570	258	18	vgg16	vgg16	PROPN
easat-4570	258	19	are	be	AUX
easat-4570	258	20	used	use	VERB
easat-4570	258	21	for	for	ADP
easat-4570	258	22	classification	classification	NOUN
easat-4570	258	23	.	.	PUNCT
easat-4570	259	1	adaboost	adaboost	ADJ
easat-4570	259	2	and	and	CCONJ
easat-4570	259	3	naïve	naïve	ADJ
easat-4570	259	4	bayes	baye	NOUN
easat-4570	259	5	perform	perform	VERB
easat-4570	259	6	poorly	poorly	ADV
easat-4570	259	7	especially	especially	ADV
easat-4570	259	8	when	when	SCONJ
easat-4570	259	9	combined	combine	VERB
easat-4570	259	10	with	with	ADP
easat-4570	259	11	squeezenet	squeezenet	NOUN
easat-4570	259	12	.	.	PUNCT
easat-4570	260	1	697	697	NUM
easat-4570	260	2	edelweiss	edelweiss	PROPN
easat-4570	260	3	applied	apply	VERB
easat-4570	260	4	science	science	NOUN
easat-4570	260	5	and	and	CCONJ
easat-4570	260	6	technology	technology	NOUN
easat-4570	260	7	issn	issn	PROPN
easat-4570	260	8	:	:	PUNCT
easat-4570	260	9	2576	2576	NUM
easat-4570	260	10	-	-	SYM
easat-4570	260	11	8484	8484	NUM
easat-4570	260	12	vol	vol	NOUN
easat-4570	260	13	.	.	PROPN
easat-4570	261	1	9	9	NUM
easat-4570	261	2	,	,	PUNCT
easat-4570	261	3	no	no	INTJ
easat-4570	261	4	.	.	NOUN
easat-4570	261	5	2	2	NUM
easat-4570	261	6	:	:	PUNCT
easat-4570	261	7	682	682	NUM
easat-4570	261	8	-	-	SYM
easat-4570	261	9	707	707	NUM
easat-4570	261	10	,	,	PUNCT
easat-4570	261	11	2025	2025	NUM
easat-4570	261	12	doi	doi	NOUN
easat-4570	261	13	:	:	PUNCT
easat-4570	261	14	10.55214/25768484.v9i2.4570	10.55214/25768484.v9i2.4570	NUM
easat-4570	261	15	©	©	PROPN
easat-4570	261	16	2025	2025	NUM
easat-4570	261	17	by	by	ADP
easat-4570	261	18	the	the	DET
easat-4570	261	19	authors	author	NOUN
easat-4570	261	20	;	;	PUNCT
easat-4570	261	21	licensee	licensee	PROPN
easat-4570	261	22	learning	learn	VERB
easat-4570	261	23	gate	gate	NOUN
easat-4570	261	24	table	table	NOUN
easat-4570	261	25	4	4	NUM
easat-4570	261	26	.	.	PUNCT
easat-4570	261	27	comparative	comparative	ADJ
easat-4570	261	28	performance	performance	NOUN
easat-4570	261	29	of	of	ADP
easat-4570	261	30	six	six	NUM
easat-4570	261	31	classifiers	classifier	NOUN
easat-4570	261	32	using	use	VERB
easat-4570	261	33	three	three	NUM
easat-4570	261	34	feature	feature	NOUN
easat-4570	261	35	extraction	extraction	NOUN
easat-4570	261	36	architectures	architecture	NOUN
easat-4570	261	37	for	for	ADP
easat-4570	261	38	three	three	NUM
easat-4570	261	39	cell	cell	NOUN
easat-4570	261	40	type	type	NOUN
easat-4570	261	41	classification	classification	NOUN
easat-4570	261	42	for	for	ADP
easat-4570	261	43	d2	d2	PROPN
easat-4570	261	44	.	.	PUNCT
easat-4570	262	1	training	training	NOUN
easat-4570	262	2	process	process	NOUN
easat-4570	262	3	classifier	classifier	NOUN
easat-4570	262	4	/model	/model	NOUN
easat-4570	262	5	auc	auc	NOUN
easat-4570	262	6	ca	can	AUX
easat-4570	262	7	f1	f1	PROPN
easat-4570	262	8	prec	prec	PROPN
easat-4570	262	9	rec	rec	PROPN
easat-4570	262	10	mcc	mcc	PROPN
easat-4570	262	11	5f	5f	PROPN
easat-4570	262	12	10f	10f	PROPN
easat-4570	262	13	5f	5f	PROPN
easat-4570	262	14	10f	10f	PROPN
easat-4570	262	15	5f	5f	PROPN
easat-4570	262	16	10f	10f	PROPN
easat-4570	262	17	5f	5f	PROPN
easat-4570	262	18	10f	10f	PROPN
easat-4570	262	19	5f	5f	PROPN
easat-4570	262	20	10f	10f	PROPN
easat-4570	263	1	5f	5f	PROPN
easat-4570	263	2	10f	10f	PROPN
easat-4570	263	3	knn	knn	PROPN
easat-4570	263	4	iv3	iv3	PROPN
easat-4570	263	5	0.99	0.99	NUM
easat-4570	263	6	0.991	0.991	NUM
easat-4570	263	7	0.943	0.943	NUM
easat-4570	263	8	0.946	0.946	NUM
easat-4570	263	9	0.942	0.942	NUM
easat-4570	263	10	0.946	0.946	NUM
easat-4570	263	11	0.943	0.943	NUM
easat-4570	263	12	0.947	0.947	NUM
easat-4570	263	13	0.943	0.943	NUM
easat-4570	263	14	0.946	0.946	NUM
easat-4570	263	15	0.914	0.914	NUM
easat-4570	263	16	0.92	0.92	NUM
easat-4570	263	17	sn	sn	NOUN
easat-4570	263	18	0.982	0.982	NUM
easat-4570	263	19	0.981	0.981	NUM
easat-4570	263	20	0.916	0.916	NUM
easat-4570	263	21	0.92	0.92	NUM
easat-4570	263	22	0.915	0.915	NUM
easat-4570	263	23	0.92	0.92	NUM
easat-4570	263	24	0.915	0.915	NUM
easat-4570	263	25	0.92	0.92	NUM
easat-4570	263	26	0.916	0.916	NUM
easat-4570	263	27	0.92	0.92	NUM
easat-4570	263	28	0.874	0.874	NUM
easat-4570	263	29	0.881	0.881	NUM
easat-4570	263	30	vgg	vgg	NOUN
easat-4570	263	31	0.989	0.989	NUM
easat-4570	263	32	0.99	0.99	NUM
easat-4570	263	33	0.947	0.947	NUM
easat-4570	263	34	0.948	0.948	NUM
easat-4570	263	35	0.947	0.947	NUM
easat-4570	263	36	0.948	0.948	NUM
easat-4570	263	37	0.948	0.948	NUM
easat-4570	263	38	0.948	0.948	NUM
easat-4570	263	39	0.947	0.947	NUM
easat-4570	263	40	0.948	0.948	NUM
easat-4570	263	41	0.921	0.921	NUM
easat-4570	263	42	0.922	0.922	NUM
easat-4570	263	43	dt	dt	NOUN
easat-4570	263	44	iv3	iv3	PROPN
easat-4570	263	45	0.899	0.899	NUM
easat-4570	263	46	0.906	0.906	NUM
easat-4570	263	47	0.879	0.879	NUM
easat-4570	263	48	0.89	0.89	NUM
easat-4570	263	49	0.879	0.879	NUM
easat-4570	263	50	0.89	0.89	NUM
easat-4570	263	51	0.879	0.879	NUM
easat-4570	263	52	0.89	0.89	NUM
easat-4570	263	53	0.879	0.879	NUM
easat-4570	263	54	0.89	0.89	NUM
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easat-4570	263	57	sn	sn	PROPN
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easat-4570	263	79	0.905	0.905	NUM
easat-4570	263	80	0.907	0.907	NUM
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easat-4570	263	82	0.861	0.861	NUM
easat-4570	263	83	rf	rf	NOUN
easat-4570	263	84	iv3	iv3	NOUN
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easat-4570	263	88	0.92	0.92	NUM
easat-4570	263	89	0.915	0.915	NUM
easat-4570	263	90	0.92	0.92	NUM
easat-4570	263	91	0.915	0.915	NUM
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easat-4570	263	94	0.92	0.92	NUM
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easat-4570	263	97	sn	sn	NOUN
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easat-4570	263	112	0.987	0.987	NUM
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easat-4570	263	121	0.902	0.902	NUM
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easat-4570	263	123	ab	ab	PROPN
easat-4570	263	124	iv3	iv3	PROPN
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easat-4570	263	126	0.901	0.901	NUM
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easat-4570	263	129	0.862	0.862	NUM
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easat-4570	263	137	sn	sn	PROPN
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easat-4570	263	139	0.879	0.879	NUM
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easat-4570	263	141	0.838	0.838	NUM
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easat-4570	263	145	0.839	0.839	NUM
easat-4570	263	146	0.831	0.831	NUM
easat-4570	263	147	0.838	0.838	NUM
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easat-4570	263	154	0.897	0.897	NUM
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easat-4570	263	160	0.897	0.897	NUM
easat-4570	263	161	0.855	0.855	NUM
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easat-4570	263	163	nn	nn	X
easat-4570	263	164	iv3	iv3	PROPN
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easat-4570	263	166	0.997	0.997	NUM
easat-4570	263	167	0.974	0.974	NUM
easat-4570	263	168	0.978	0.978	NUM
easat-4570	263	169	0.974	0.974	NUM
easat-4570	263	170	0.978	0.978	NUM
easat-4570	263	171	0.974	0.974	NUM
easat-4570	263	172	0.978	0.978	NUM
easat-4570	263	173	0.974	0.974	NUM
easat-4570	263	174	0.978	0.978	NUM
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easat-4570	263	177	sn	sn	PROPN
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easat-4570	263	192	0.998	0.998	NUM
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easat-4570	263	203	nb	nb	NOUN
easat-4570	263	204	iv3	iv3	PROPN
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easat-4570	263	217	sn	sn	NOUN
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easat-4570	263	219	0.918	0.918	NUM
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easat-4570	263	222	0.795	0.795	NUM
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easat-4570	263	225	0.794	0.794	NUM
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easat-4570	263	230	vgg	vgg	NOUN
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easat-4570	263	259	sn	sn	NOUN
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easat-4570	263	266	vgg	vgg	VERB
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easat-4570	264	50	ab	ab	PROPN
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easat-4570	264	58	sn	sn	PROPN
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easat-4570	264	65	vgg	vgg	ADJ
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easat-4570	264	80	sn	sn	PROPN
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easat-4570	264	87	vgg	vgg	NOUN
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easat-4570	264	94	nb	nb	NOUN
easat-4570	264	95	iv3	iv3	PROPN
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easat-4570	265	6	5	5	NUM
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easat-4570	270	164	iv3	iv3	ADP
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easat-4570	273	28	0.627	0.627	NUM
easat-4570	273	29	sn	sn	PROPN
easat-4570	273	30	0.77	0.77	NUM
easat-4570	273	31	0.693	0.693	NUM
easat-4570	273	32	0.695	0.695	NUM
easat-4570	273	33	0.706	0.706	NUM
easat-4570	273	34	0.693	0.693	NUM
easat-4570	273	35	0.544	0.544	NUM
easat-4570	273	36	vgg	vgg	NOUN
easat-4570	273	37	0.86	0.86	NUM
easat-4570	273	38	0.813	0.813	NUM
easat-4570	274	1	0.815	0.815	NUM
easat-4570	274	2	0.818	0.818	NUM
easat-4570	274	3	0.813	0.813	NUM
easat-4570	274	4	0.72	0.72	NUM
easat-4570	274	5	nn	nn	X
easat-4570	274	6	iv3	iv3	PROPN
easat-4570	274	7	0.926	0.926	NUM
easat-4570	274	8	0.769	0.769	NUM
easat-4570	274	9	0.776	0.776	NUM
easat-4570	274	10	0.817	0.817	NUM
easat-4570	274	11	0.769	0.769	NUM
easat-4570	274	12	0.67	0.67	NUM
easat-4570	274	13	sn	sn	PROPN
easat-4570	274	14	0.921	0.921	NUM
easat-4570	274	15	0.77	0.77	NUM
easat-4570	274	16	0.77	0.77	NUM
easat-4570	274	17	0.788	0.788	NUM
easat-4570	274	18	0.77	0.77	NUM
easat-4570	274	19	0.664	0.664	NUM
easat-4570	274	20	vgg	vgg	NOUN
easat-4570	274	21	0.946	0.946	NUM
easat-4570	274	22	0.839	0.839	NUM
easat-4570	274	23	0.841	0.841	NUM
easat-4570	274	24	0.847	0.847	NUM
easat-4570	274	25	0.839	0.839	NUM
easat-4570	274	26	0.76	0.76	NUM
easat-4570	274	27	nb	nb	NOUN
easat-4570	274	28	iv3	iv3	PROPN
easat-4570	274	29	0.91	0.91	NUM
easat-4570	274	30	0.755	0.755	NUM
easat-4570	274	31	0.761	0.761	NUM
easat-4570	274	32	0.777	0.777	NUM
easat-4570	274	33	0.755	0.755	NUM
easat-4570	274	34	0.637	0.637	NUM
easat-4570	274	35	sn	sn	NOUN
easat-4570	274	36	0.902	0.902	NUM
easat-4570	274	37	0.752	0.752	NUM
easat-4570	274	38	0.753	0.753	NUM
easat-4570	274	39	0.764	0.764	NUM
easat-4570	274	40	0.752	0.752	NUM
easat-4570	274	41	0.632	0.632	NUM
easat-4570	274	42	vgg	vgg	NOUN
easat-4570	274	43	0.942	0.942	NUM
easat-4570	274	44	0.83	0.83	NUM
easat-4570	274	45	0.829	0.829	NUM
easat-4570	274	46	0.83	0.83	NUM
easat-4570	274	47	0.83	0.83	NUM
easat-4570	274	48	0.745	0.745	NUM
easat-4570	274	49	when	when	SCONJ
easat-4570	274	50	a	a	DET
easat-4570	274	51	limited	limited	ADJ
easat-4570	274	52	number	number	NOUN
easat-4570	274	53	of	of	ADP
easat-4570	274	54	features	feature	NOUN
easat-4570	274	55	are	be	AUX
easat-4570	274	56	used	use	VERB
easat-4570	274	57	for	for	ADP
easat-4570	274	58	classification	classification	NOUN
easat-4570	275	1	,	,	PUNCT
easat-4570	275	2	a	a	DET
easat-4570	275	3	decrease	decrease	NOUN
easat-4570	275	4	in	in	ADP
easat-4570	275	5	the	the	DET
easat-4570	275	6	accuracy	accuracy	NOUN
easat-4570	275	7	is	be	AUX
easat-4570	275	8	observed	observe	VERB
easat-4570	275	9	as	as	SCONJ
easat-4570	275	10	reported	report	VERB
easat-4570	275	11	by	by	ADP
easat-4570	275	12	all	all	DET
easat-4570	275	13	the	the	DET
easat-4570	275	14	metrics	metric	NOUN
easat-4570	275	15	and	and	CCONJ
easat-4570	275	16	this	this	PRON
easat-4570	275	17	is	be	AUX
easat-4570	275	18	expected	expect	VERB
easat-4570	275	19	.	.	PUNCT
easat-4570	276	1	there	there	PRON
easat-4570	276	2	is	be	VERB
easat-4570	276	3	no	no	DET
easat-4570	276	4	significant	significant	ADJ
easat-4570	276	5	difference	difference	NOUN
easat-4570	276	6	in	in	ADP
easat-4570	276	7	the	the	DET
easat-4570	276	8	training	training	NOUN
easat-4570	276	9	between	between	ADP
easat-4570	276	10	the	the	DET
easat-4570	276	11	5	5	NUM
easat-4570	276	12	-	-	NOUN
easat-4570	276	13	fold	fold	ADJ
easat-4570	276	14	and	and	CCONJ
easat-4570	276	15	the	the	DET
easat-4570	276	16	10	10	NUM
easat-4570	276	17	-	-	ADJ
easat-4570	276	18	fold	fold	ADJ
easat-4570	276	19	splitting	splitting	NOUN
easat-4570	276	20	schemes	scheme	NOUN
easat-4570	276	21	with	with	ADP
easat-4570	276	22	the	the	DET
easat-4570	276	23	latter	latter	ADJ
easat-4570	276	24	exhibiting	exhibit	VERB
easat-4570	276	25	slightly	slightly	ADV
easat-4570	276	26	higher	high	ADJ
easat-4570	276	27	accuracy	accuracy	NOUN
easat-4570	276	28	for	for	SCONJ
easat-4570	276	29	all	all	DET
easat-4570	276	30	six	six	NUM
easat-4570	276	31	metrics	metric	NOUN
easat-4570	276	32	thus	thus	ADV
easat-4570	276	33	indicating	indicate	VERB
easat-4570	276	34	a	a	DET
easat-4570	276	35	more	more	ADV
easat-4570	276	36	favourable	favourable	ADJ
easat-4570	276	37	setting	setting	NOUN
easat-4570	276	38	.	.	PUNCT
easat-4570	277	1	but	but	CCONJ
easat-4570	277	2	the	the	DET
easat-4570	277	3	5	5	NUM
easat-4570	277	4	-	-	ADJ
easat-4570	277	5	fold	fold	ADJ
easat-4570	277	6	splitting	splitting	NOUN
easat-4570	277	7	scheme	scheme	NOUN
easat-4570	277	8	exhibits	exhibit	VERB
easat-4570	277	9	a	a	DET
easat-4570	277	10	smaller	small	ADJ
easat-4570	277	11	variation	variation	NOUN
easat-4570	277	12	across	across	ADP
easat-4570	277	13	all	all	DET
easat-4570	277	14	18	18	NUM
easat-4570	277	15	combinations	combination	NOUN
easat-4570	277	16	of	of	ADP
easat-4570	277	17	architectures	architecture	NOUN
easat-4570	277	18	and	and	CCONJ
easat-4570	277	19	classifiers	classifier	NOUN
easat-4570	277	20	and	and	CCONJ
easat-4570	277	21	also	also	ADV
easat-4570	277	22	a	a	DET
easat-4570	277	23	lower	low	ADJ
easat-4570	277	24	cov	cov	NOUN
easat-4570	277	25	(	(	PUNCT
easat-4570	277	26	0.20.3	0.20.3	NUM
easat-4570	277	27	)	)	PUNCT
easat-4570	277	28	thus	thus	ADV
easat-4570	277	29	indicating	indicate	VERB
easat-4570	277	30	a	a	DET
easat-4570	277	31	more	more	ADV
easat-4570	277	32	favourable	favourable	ADJ
easat-4570	277	33	scheme	scheme	NOUN
easat-4570	277	34	in	in	ADP
easat-4570	277	35	terms	term	NOUN
easat-4570	277	36	of	of	ADP
easat-4570	277	37	robustness	robustness	NOUN
easat-4570	277	38	.	.	PUNCT
easat-4570	278	1	the	the	DET
easat-4570	278	2	training	training	NOUN
easat-4570	278	3	accuracies	accuracy	NOUN
easat-4570	278	4	vary	vary	VERB
easat-4570	278	5	from	from	ADP
easat-4570	278	6	97.5	97.5	NUM
easat-4570	278	7	%	%	NOUN
easat-4570	278	8	(	(	PUNCT
easat-4570	278	9	auc	auc	NOUN
easat-4570	278	10	)	)	PUNCT
easat-4570	278	11	,	,	PUNCT
easat-4570	278	12	to	to	ADP
easat-4570	278	13	~90	~90	VERB
easat-4570	278	14	%	%	NOUN
easat-4570	278	15	(	(	PUNCT
easat-4570	278	16	ca	ca	NOUN
easat-4570	278	17	,	,	PUNCT
easat-4570	278	18	f1	f1	NOUN
easat-4570	278	19	score	score	NOUN
easat-4570	278	20	,	,	PUNCT
easat-4570	278	21	prec	prec	NOUN
easat-4570	278	22	and	and	CCONJ
easat-4570	278	23	rec	rec	NOUN
easat-4570	278	24	)	)	PUNCT
easat-4570	278	25	,	,	PUNCT
easat-4570	278	26	and	and	CCONJ
easat-4570	278	27	to	to	ADP
easat-4570	278	28	the	the	DET
easat-4570	278	29	lowest	low	ADJ
easat-4570	278	30	value	value	NOUN
easat-4570	278	31	of	of	ADP
easat-4570	278	32	85.1	85.1	NUM
easat-4570	278	33	%	%	NOUN
easat-4570	278	34	(	(	PUNCT
easat-4570	278	35	mcc	mcc	NOUN
easat-4570	278	36	)	)	PUNCT
easat-4570	278	37	.	.	PUNCT
easat-4570	279	1	the	the	DET
easat-4570	279	2	accuracy	accuracy	NOUN
easat-4570	279	3	deteriorates	deteriorate	VERB
easat-4570	279	4	by	by	ADP
easat-4570	279	5	7	7	NUM
easat-4570	279	6	%	%	NOUN
easat-4570	279	7	to	to	PART
easat-4570	279	8	19	19	NUM
easat-4570	279	9	%	%	NOUN
easat-4570	279	10	when	when	SCONJ
easat-4570	279	11	classification	classification	NOUN
easat-4570	279	12	based	base	VERB
easat-4570	279	13	on	on	ADP
easat-4570	279	14	the	the	DET
easat-4570	279	15	use	use	NOUN
easat-4570	279	16	of	of	ADP
easat-4570	279	17	all	all	DET
easat-4570	279	18	features	feature	NOUN
easat-4570	279	19	compared	compare	VERB
easat-4570	279	20	to	to	ADP
easat-4570	279	21	the	the	DET
easat-4570	279	22	699	699	NUM
easat-4570	279	23	edelweiss	edelweiss	PROPN
easat-4570	279	24	applied	apply	VERB
easat-4570	279	25	science	science	NOUN
easat-4570	279	26	and	and	CCONJ
easat-4570	279	27	technology	technology	NOUN
easat-4570	279	28	issn	issn	PROPN
easat-4570	279	29	:	:	PUNCT
easat-4570	279	30	2576	2576	NUM
easat-4570	279	31	-	-	SYM
easat-4570	279	32	8484	8484	NUM
easat-4570	279	33	vol	vol	NOUN
easat-4570	279	34	.	.	PROPN
easat-4570	280	1	9	9	NUM
easat-4570	280	2	,	,	PUNCT
easat-4570	280	3	no	no	INTJ
easat-4570	280	4	.	.	NOUN
easat-4570	280	5	2	2	NUM
easat-4570	280	6	:	:	PUNCT
easat-4570	280	7	682	682	NUM
easat-4570	280	8	-	-	SYM
easat-4570	280	9	707	707	NUM
easat-4570	280	10	,	,	PUNCT
easat-4570	280	11	2025	2025	NUM
easat-4570	280	12	doi	doi	NOUN
easat-4570	280	13	:	:	PUNCT
easat-4570	280	14	10.55214/25768484.v9i2.4570	10.55214/25768484.v9i2.4570	NUM
easat-4570	280	15	©	©	PROPN
easat-4570	280	16	2025	2025	NUM
easat-4570	280	17	by	by	ADP
easat-4570	280	18	the	the	DET
easat-4570	280	19	authors	author	NOUN
easat-4570	280	20	;	;	PUNCT
easat-4570	280	21	licensee	licensee	NOUN
easat-4570	280	22	learning	learn	VERB
easat-4570	280	23	gate	gate	NOUN
easat-4570	280	24	use	use	NOUN
easat-4570	280	25	of	of	ADP
easat-4570	280	26	only	only	ADV
easat-4570	280	27	10	10	NUM
easat-4570	280	28	features	feature	NOUN
easat-4570	280	29	.	.	PUNCT
easat-4570	281	1	the	the	DET
easat-4570	281	2	largest	large	ADJ
easat-4570	281	3	decrease	decrease	NOUN
easat-4570	281	4	is	be	AUX
easat-4570	281	5	observed	observe	VERB
easat-4570	281	6	for	for	ADP
easat-4570	281	7	the	the	DET
easat-4570	281	8	mcc	mcc	NOUN
easat-4570	281	9	and	and	CCONJ
easat-4570	281	10	the	the	DET
easat-4570	281	11	lowest	low	ADJ
easat-4570	281	12	is	be	AUX
easat-4570	281	13	observed	observe	VERB
easat-4570	281	14	for	for	ADP
easat-4570	281	15	the	the	DET
easat-4570	281	16	auc	auc	NOUN
easat-4570	281	17	metric	metric	NOUN
easat-4570	281	18	.	.	PUNCT
easat-4570	282	1	vgg16	vgg16	PROPN
easat-4570	282	2	achieves	achieve	VERB
easat-4570	282	3	a	a	DET
easat-4570	282	4	higher	high	ADJ
easat-4570	282	5	accuracy	accuracy	NOUN
easat-4570	282	6	when	when	SCONJ
easat-4570	282	7	compared	compare	VERB
easat-4570	282	8	to	to	ADP
easat-4570	282	9	the	the	DET
easat-4570	282	10	other	other	ADJ
easat-4570	282	11	two	two	NUM
easat-4570	282	12	architectures	architecture	NOUN
easat-4570	282	13	for	for	ADP
easat-4570	282	14	all	all	DET
easat-4570	282	15	the	the	DET
easat-4570	282	16	six	six	NUM
easat-4570	282	17	classifiers	classifier	NOUN
easat-4570	282	18	used	use	VERB
easat-4570	282	19	.	.	PUNCT
easat-4570	283	1	the	the	DET
easat-4570	283	2	highest	high	ADJ
easat-4570	283	3	classification	classification	NOUN
easat-4570	283	4	accuracies	accuracy	NOUN
easat-4570	283	5	are	be	AUX
easat-4570	283	6	found	find	VERB
easat-4570	283	7	when	when	SCONJ
easat-4570	283	8	vgg16	vgg16	NOUN
easat-4570	283	9	is	be	AUX
easat-4570	283	10	paired	pair	VERB
easat-4570	283	11	with	with	ADP
easat-4570	283	12	neural	neural	ADJ
easat-4570	283	13	network	network	NOUN
easat-4570	283	14	classifier	classifier	NOUN
easat-4570	283	15	(	(	PUNCT
easat-4570	283	16	auc=94.60	auc=94.60	NUM
easat-4570	283	17	%	%	NOUN
easat-4570	283	18	)	)	PUNCT
easat-4570	283	19	,	,	PUNCT
easat-4570	283	20	with	with	ADP
easat-4570	283	21	random	random	ADJ
easat-4570	283	22	forest	forest	NOUN
easat-4570	283	23	(	(	PUNCT
easat-4570	283	24	auc=94.3	auc=94.3	NOUN
easat-4570	283	25	%	%	NOUN
easat-4570	283	26	)	)	PUNCT
easat-4570	283	27	and	and	CCONJ
easat-4570	283	28	with	with	ADP
easat-4570	283	29	naïve	naïve	ADJ
easat-4570	283	30	bayes	bayes	NOUN
easat-4570	283	31	(	(	PUNCT
easat-4570	283	32	auc=94.2	auc=94.2	NOUN
easat-4570	283	33	%	%	NOUN
easat-4570	283	34	)	)	PUNCT
easat-4570	283	35	.	.	PUNCT
easat-4570	284	1	the	the	DET
easat-4570	284	2	average	average	ADJ
easat-4570	284	3	evaluation	evaluation	NOUN
easat-4570	284	4	metrics	metric	NOUN
easat-4570	284	5	for	for	ADP
easat-4570	284	6	18	18	NUM
easat-4570	284	7	architecture	architecture	NOUN
easat-4570	284	8	-	-	PUNCT
easat-4570	284	9	classifier	classifier	NOUN
easat-4570	284	10	pairs	pair	NOUN
easat-4570	284	11	for	for	ADP
easat-4570	284	12	the	the	DET
easat-4570	284	13	testing	testing	NOUN
easat-4570	284	14	phase	phase	NOUN
easat-4570	284	15	are	be	AUX
easat-4570	284	16	:	:	PUNCT
easat-4570	284	17	auc=87.42	auc=87.42	NUM
easat-4570	284	18	%	%	NOUN
easat-4570	284	19	,	,	PUNCT
easat-4570	284	20	ca=76.51	ca=76.51	NOUN
easat-4570	284	21	%	%	NOUN
easat-4570	284	22	,	,	PUNCT
easat-4570	284	23	f1=76.83	f1=76.83	NUM
easat-4570	284	24	%	%	NOUN
easat-4570	284	25	,	,	PUNCT
easat-4570	284	26	prec=78.66	prec=78.66	NUM
easat-4570	284	27	%	%	NOUN
easat-4570	284	28	,	,	PUNCT
easat-4570	284	29	rec=76.51	rec=76.51	NOUN
easat-4570	284	30	%	%	NOUN
easat-4570	284	31	and	and	CCONJ
easat-4570	284	32	mcc=65.76	mcc=65.76	NUM
easat-4570	284	33	%	%	NOUN
easat-4570	284	34	.	.	PUNCT
easat-4570	285	1	the	the	DET
easat-4570	285	2	order	order	NOUN
easat-4570	285	3	of	of	ADP
easat-4570	285	4	the	the	DET
easat-4570	285	5	evaluation	evaluation	NOUN
easat-4570	285	6	metrics	metric	NOUN
easat-4570	285	7	for	for	ADP
easat-4570	285	8	the	the	DET
easat-4570	285	9	testing	testing	NOUN
easat-4570	285	10	phase	phase	NOUN
easat-4570	285	11	are	be	AUX
easat-4570	285	12	ranked	rank	VERB
easat-4570	285	13	from	from	ADP
easat-4570	285	14	the	the	DET
easat-4570	285	15	highest	high	ADJ
easat-4570	285	16	to	to	ADP
easat-4570	285	17	the	the	DET
easat-4570	285	18	lowest	low	ADJ
easat-4570	285	19	as	as	ADP
easat-4570	285	20	auc	auc	NOUN
easat-4570	285	21	(	(	PUNCT
easat-4570	285	22	95.6	95.6	NUM
easat-4570	285	23	%	%	NOUN
easat-4570	285	24	)	)	PUNCT
easat-4570	285	25	,	,	PUNCT
easat-4570	285	26	prec	prec	X
easat-4570	285	27	(	(	PUNCT
easat-4570	285	28	84.7	84.7	NUM
easat-4570	285	29	%	%	NOUN
easat-4570	285	30	)	)	PUNCT
easat-4570	285	31	,	,	PUNCT
easat-4570	285	32	f1	f1	NOUN
easat-4570	285	33	score	score	NOUN
easat-4570	285	34	(	(	PUNCT
easat-4570	285	35	84.1	84.1	NUM
easat-4570	285	36	%	%	NOUN
easat-4570	285	37	)	)	PUNCT
easat-4570	285	38	,	,	PUNCT
easat-4570	285	39	recl	recl	NOUN
easat-4570	285	40	and	and	CCONJ
easat-4570	285	41	ca	can	AUX
easat-4570	285	42	(	(	PUNCT
easat-4570	285	43	83.9	83.9	NUM
easat-4570	285	44	%	%	NOUN
easat-4570	285	45	)	)	PUNCT
easat-4570	285	46	and	and	CCONJ
easat-4570	285	47	mcc	mcc	PROPN
easat-4570	285	48	(	(	PUNCT
easat-4570	285	49	76	76	NUM
easat-4570	285	50	%	%	NOUN
easat-4570	285	51	)	)	PUNCT
easat-4570	285	52	.	.	PUNCT
easat-4570	286	1	5	5	X
easat-4570	286	2	.	.	X
easat-4570	286	3	discussion	discussion	NOUN
easat-4570	286	4	to	to	PART
easat-4570	286	5	compare	compare	VERB
easat-4570	286	6	the	the	DET
easat-4570	286	7	accuracy	accuracy	NOUN
easat-4570	286	8	metrics	metric	NOUN
easat-4570	286	9	results	result	VERB
easat-4570	286	10	and	and	CCONJ
easat-4570	286	11	to	to	PART
easat-4570	286	12	evaluate	evaluate	VERB
easat-4570	286	13	their	their	PRON
easat-4570	286	14	robustness	robustness	NOUN
easat-4570	286	15	,	,	PUNCT
easat-4570	286	16	coefficient	coefficient	NOUN
easat-4570	286	17	of	of	ADP
easat-4570	286	18	variation	variation	NOUN
easat-4570	286	19	(	(	PUNCT
easat-4570	286	20	cov	cov	NOUN
easat-4570	286	21	)	)	PUNCT
easat-4570	286	22	is	be	AUX
easat-4570	286	23	also	also	ADV
easat-4570	286	24	reported	report	VERB
easat-4570	286	25	as	as	ADP
easat-4570	286	26	a	a	DET
easat-4570	286	27	percentage	percentage	NOUN
easat-4570	286	28	of	of	ADP
easat-4570	286	29	the	the	DET
easat-4570	286	30	ratio	ratio	NOUN
easat-4570	286	31	of	of	ADP
easat-4570	286	32	standard	standard	ADJ
easat-4570	286	33	deviation	deviation	NOUN
easat-4570	286	34	over	over	ADP
easat-4570	286	35	the	the	DET
easat-4570	286	36	mean	mean	NOUN
easat-4570	286	37	of	of	ADP
easat-4570	286	38	the	the	DET
easat-4570	286	39	metrics	metric	NOUN
easat-4570	286	40	(	(	PUNCT
easat-4570	286	41	6	6	NUM
easat-4570	286	42	)	)	PUNCT
easat-4570	286	43	.	.	PUNCT
easat-4570	287	1	this	this	PRON
easat-4570	287	2	is	be	AUX
easat-4570	287	3	a	a	DET
easat-4570	287	4	coefficient	coefficient	NOUN
easat-4570	287	5	that	that	PRON
easat-4570	287	6	is	be	AUX
easat-4570	287	7	reported	report	VERB
easat-4570	287	8	in	in	ADP
easat-4570	287	9	the	the	DET
easat-4570	287	10	literature	literature	NOUN
easat-4570	287	11	as	as	ADP
easat-4570	287	12	an	an	DET
easat-4570	287	13	important	important	ADJ
easat-4570	287	14	metric	metric	NOUN
easat-4570	287	15	to	to	PART
easat-4570	287	16	quantitatively	quantitatively	ADV
easat-4570	287	17	compare	compare	VERB
easat-4570	287	18	different	different	ADJ
easat-4570	287	19	experiments	experiment	NOUN
easat-4570	287	20	[	[	X
easat-4570	287	21	76	76	NUM
easat-4570	287	22	,	,	PUNCT
easat-4570	287	23	77	77	NUM
easat-4570	287	24	]	]	PUNCT
easat-4570	287	25	.	.	PUNCT
easat-4570	288	1	𝐶𝑜𝑉	𝐶𝑜𝑉	PROPN
easat-4570	288	2	=	=	PUNCT
easat-4570	288	3	(	(	PUNCT
easat-4570	288	4	𝜎/µ	𝜎/µ	NOUN
easat-4570	288	5	)	)	PUNCT
easat-4570	288	6	∗	∗	NOUN
easat-4570	288	7	100	100	NUM
easat-4570	288	8	(	(	PUNCT
easat-4570	288	9	6	6	NUM
easat-4570	288	10	)	)	PUNCT
easat-4570	289	1	the	the	DET
easat-4570	289	2	analysis	analysis	NOUN
easat-4570	289	3	is	be	AUX
easat-4570	289	4	performed	perform	VERB
easat-4570	289	5	in	in	ADP
easat-4570	289	6	table	table	NOUN
easat-4570	289	7	4	4	NUM
easat-4570	289	8	,	,	PUNCT
easat-4570	289	9	due	due	ADP
easat-4570	289	10	to	to	ADP
easat-4570	289	11	the	the	DET
easat-4570	289	12	high	high	ADJ
easat-4570	289	13	amount	amount	NOUN
easat-4570	289	14	of	of	ADP
easat-4570	289	15	training	training	NOUN
easat-4570	289	16	and	and	CCONJ
easat-4570	289	17	testing	testing	NOUN
easat-4570	289	18	sets	set	NOUN
easat-4570	289	19	present	present	ADJ
easat-4570	289	20	in	in	ADP
easat-4570	289	21	d2	d2	PROPN
easat-4570	289	22	compared	compare	VERB
easat-4570	289	23	to	to	ADP
easat-4570	289	24	d1	d1	PROPN
easat-4570	289	25	.	.	PUNCT
easat-4570	290	1	all	all	DET
easat-4570	290	2	features	feature	NOUN
easat-4570	290	3	extracted	extract	VERB
easat-4570	290	4	by	by	ADP
easat-4570	290	5	the	the	DET
easat-4570	290	6	architectures	architecture	NOUN
easat-4570	290	7	are	be	AUX
easat-4570	290	8	used	use	VERB
easat-4570	290	9	in	in	ADP
easat-4570	290	10	order	order	NOUN
easat-4570	290	11	to	to	PART
easat-4570	290	12	have	have	AUX
easat-4570	290	13	a	a	DET
easat-4570	290	14	better	well	ADJ
easat-4570	290	15	view	view	NOUN
easat-4570	290	16	of	of	ADP
easat-4570	290	17	the	the	DET
easat-4570	290	18	architecture	architecture	NOUN
easat-4570	290	19	-	-	PUNCT
easat-4570	290	20	classifier	classifier	NOUN
easat-4570	290	21	relation	relation	NOUN
easat-4570	290	22	.	.	PUNCT
easat-4570	291	1	cov	cov	PROPN
easat-4570	291	2	is	be	AUX
easat-4570	291	3	minimal	minimal	ADJ
easat-4570	291	4	for	for	ADP
easat-4570	291	5	each	each	DET
easat-4570	291	6	classifier	classifier	NOUN
easat-4570	291	7	when	when	SCONJ
easat-4570	291	8	that	that	DET
easat-4570	291	9	classifier	classifier	NOUN
easat-4570	291	10	is	be	AUX
easat-4570	291	11	paired	pair	VERB
easat-4570	291	12	with	with	ADP
easat-4570	291	13	vgg16	vgg16	NOUN
easat-4570	291	14	,	,	PUNCT
easat-4570	291	15	and	and	CCONJ
easat-4570	291	16	the	the	DET
easat-4570	291	17	lowest	low	ADJ
easat-4570	291	18	cov	cov	NOUN
easat-4570	291	19	is	be	AUX
easat-4570	291	20	when	when	SCONJ
easat-4570	291	21	neural	neural	ADJ
easat-4570	291	22	network	network	NOUN
easat-4570	291	23	is	be	AUX
easat-4570	291	24	paired	pair	VERB
easat-4570	291	25	with	with	ADP
easat-4570	291	26	vgg16	vgg16	PROPN
easat-4570	291	27	(	(	PUNCT
easat-4570	291	28	4.54	4.54	NUM
easat-4570	291	29	%	%	NOUN
easat-4570	291	30	)	)	PUNCT
easat-4570	291	31	.	.	PUNCT
easat-4570	292	1	vgg16	vgg16	PROPN
easat-4570	292	2	has	have	VERB
easat-4570	292	3	the	the	DET
easat-4570	292	4	lowest	low	ADJ
easat-4570	292	5	cov	cov	NOUN
easat-4570	292	6	(	(	PUNCT
easat-4570	292	7	4.44	4.44	NUM
easat-4570	292	8	%	%	NOUN
easat-4570	292	9	)	)	PUNCT
easat-4570	292	10	,	,	PUNCT
easat-4570	292	11	followed	follow	VERB
easat-4570	292	12	by	by	ADP
easat-4570	292	13	inception	inception	PROPN
easat-4570	292	14	v3	v3	PROPN
easat-4570	292	15	(	(	PUNCT
easat-4570	292	16	6.04	6.04	NUM
easat-4570	292	17	%	%	NOUN
easat-4570	292	18	)	)	PUNCT
easat-4570	292	19	,	,	PUNCT
easat-4570	292	20	and	and	CCONJ
easat-4570	292	21	then	then	ADV
easat-4570	292	22	squeezenet	squeezenet	NOUN
easat-4570	292	23	architecture	architecture	NOUN
easat-4570	292	24	(	(	PUNCT
easat-4570	292	25	6.35	6.35	NUM
easat-4570	292	26	%	%	NOUN
easat-4570	292	27	)	)	PUNCT
easat-4570	292	28	.	.	PUNCT
easat-4570	293	1	when	when	SCONJ
easat-4570	293	2	evaluating	evaluate	VERB
easat-4570	293	3	the	the	DET
easat-4570	293	4	performance	performance	NOUN
easat-4570	293	5	of	of	ADP
easat-4570	293	6	the	the	DET
easat-4570	293	7	testing	testing	NOUN
easat-4570	293	8	of	of	ADP
easat-4570	293	9	the	the	DET
easat-4570	293	10	classification	classification	NOUN
easat-4570	293	11	for	for	ADP
easat-4570	293	12	all	all	DET
easat-4570	293	13	the	the	DET
easat-4570	293	14	six	six	NUM
easat-4570	293	15	accuracy	accuracy	NOUN
easat-4570	293	16	evaluation	evaluation	NOUN
easat-4570	293	17	metrics	metric	NOUN
easat-4570	293	18	for	for	ADP
easat-4570	293	19	18	18	NUM
easat-4570	293	20	architecture	architecture	NOUN
easat-4570	293	21	-	-	PUNCT
easat-4570	293	22	classifier	classifier	NOUN
easat-4570	293	23	pairs	pair	NOUN
easat-4570	293	24	,	,	PUNCT
easat-4570	293	25	generally	generally	ADV
easat-4570	293	26	the	the	DET
easat-4570	293	27	same	same	ADJ
easat-4570	293	28	patterns	pattern	NOUN
easat-4570	293	29	are	be	AUX
easat-4570	293	30	observed	observe	VERB
easat-4570	293	31	.	.	PUNCT
easat-4570	294	1	the	the	DET
easat-4570	294	2	highest	high	ADJ
easat-4570	294	3	testing	testing	NOUN
easat-4570	294	4	accuracy	accuracy	NOUN
easat-4570	294	5	is	be	AUX
easat-4570	294	6	observed	observe	VERB
easat-4570	294	7	for	for	ADP
easat-4570	294	8	the	the	DET
easat-4570	294	9	auc	auc	NOUN
easat-4570	294	10	metrics	metric	NOUN
easat-4570	294	11	corresponding	correspond	VERB
easat-4570	294	12	to	to	PART
easat-4570	294	13	vgg16	vgg16	VERB
easat-4570	294	14	neural	neural	ADJ
easat-4570	294	15	network	network	NOUN
easat-4570	294	16	pair	pair	NOUN
easat-4570	294	17	(	(	PUNCT
easat-4570	294	18	auc=98.10	auc=98.10	VERB
easat-4570	294	19	%	%	NOUN
easat-4570	294	20	)	)	PUNCT
easat-4570	294	21	and	and	CCONJ
easat-4570	294	22	the	the	DET
easat-4570	294	23	lowest	low	ADJ
easat-4570	294	24	testing	testing	NOUN
easat-4570	294	25	accuracy	accuracy	NOUN
easat-4570	294	26	is	be	AUX
easat-4570	294	27	observed	observe	VERB
easat-4570	294	28	for	for	ADP
easat-4570	294	29	the	the	DET
easat-4570	294	30	inception	inception	ADJ
easat-4570	294	31	v3	v3	PROPN
easat-4570	294	32	adaboost	adaboost	ADJ
easat-4570	294	33	pair	pair	NOUN
easat-4570	294	34	(	(	PUNCT
easat-4570	294	35	auc=78.90	auc=78.90	NUM
easat-4570	294	36	%	%	NOUN
easat-4570	294	37	)	)	PUNCT
easat-4570	294	38	.	.	PUNCT
easat-4570	295	1	for	for	ADP
easat-4570	295	2	each	each	DET
easat-4570	295	3	classifier	classifier	NOUN
easat-4570	295	4	,	,	PUNCT
easat-4570	295	5	its	its	PRON
easat-4570	295	6	testing	testing	NOUN
easat-4570	295	7	accuracy	accuracy	NOUN
easat-4570	295	8	is	be	AUX
easat-4570	295	9	highest	high	ADJ
easat-4570	295	10	when	when	SCONJ
easat-4570	295	11	combined	combine	VERB
easat-4570	295	12	with	with	ADP
easat-4570	295	13	vgg16	vgg16	NOUN
easat-4570	295	14	followed	follow	VERB
easat-4570	295	15	by	by	ADP
easat-4570	295	16	its	its	PRON
easat-4570	295	17	combination	combination	NOUN
easat-4570	295	18	with	with	ADP
easat-4570	295	19	squeezenet	squeezenet	NOUN
easat-4570	295	20	and	and	CCONJ
easat-4570	295	21	it	it	PRON
easat-4570	295	22	is	be	AUX
easat-4570	295	23	lowest	low	ADJ
easat-4570	295	24	when	when	SCONJ
easat-4570	295	25	combined	combine	VERB
easat-4570	295	26	with	with	ADP
easat-4570	295	27	inception	inception	PROPN
easat-4570	295	28	v3	v3	PROPN
easat-4570	295	29	,	,	PUNCT
easat-4570	295	30	except	except	SCONJ
easat-4570	295	31	when	when	SCONJ
easat-4570	295	32	paired	pair	VERB
easat-4570	295	33	with	with	ADP
easat-4570	295	34	neural	neural	ADJ
easat-4570	295	35	network	network	NOUN
easat-4570	295	36	.	.	PUNCT
easat-4570	296	1	the	the	DET
easat-4570	296	2	order	order	NOUN
easat-4570	296	3	of	of	ADP
easat-4570	296	4	the	the	DET
easat-4570	296	5	testing	testing	NOUN
easat-4570	296	6	accuracy	accuracy	NOUN
easat-4570	296	7	for	for	ADP
easat-4570	296	8	neural	neural	ADJ
easat-4570	296	9	network	network	NOUN
easat-4570	296	10	as	as	ADP
easat-4570	296	11	a	a	DET
easat-4570	296	12	classifier	classifier	NOUN
easat-4570	296	13	is	be	AUX
easat-4570	296	14	in	in	ADP
easat-4570	296	15	the	the	DET
easat-4570	296	16	decreasing	decrease	VERB
easat-4570	296	17	order	order	NOUN
easat-4570	296	18	from	from	ADP
easat-4570	296	19	90.23	90.23	NUM
easat-4570	296	20	%	%	NOUN
easat-4570	296	21	when	when	SCONJ
easat-4570	296	22	combined	combine	VERB
easat-4570	296	23	with	with	ADP
easat-4570	296	24	vgg16	vgg16	PROPN
easat-4570	296	25	,	,	PUNCT
easat-4570	296	26	88.07	88.07	NUM
easat-4570	296	27	%	%	NOUN
easat-4570	296	28	when	when	SCONJ
easat-4570	296	29	combined	combine	VERB
easat-4570	296	30	with	with	ADP
easat-4570	296	31	inception	inception	PROPN
easat-4570	296	32	v3	v3	PROPN
easat-4570	296	33	and	and	CCONJ
easat-4570	296	34	86.07	86.07	NUM
easat-4570	296	35	%	%	NOUN
easat-4570	296	36	when	when	SCONJ
easat-4570	296	37	combined	combine	VERB
easat-4570	296	38	with	with	ADP
easat-4570	296	39	squeezenet	squeezenet	NOUN
easat-4570	296	40	.	.	PUNCT
easat-4570	297	1	the	the	DET
easat-4570	297	2	careful	careful	ADJ
easat-4570	297	3	analysis	analysis	NOUN
easat-4570	297	4	of	of	ADP
easat-4570	297	5	the	the	DET
easat-4570	297	6	testing	testing	NOUN
easat-4570	297	7	accuracy	accuracy	NOUN
easat-4570	297	8	is	be	AUX
easat-4570	297	9	very	very	ADV
easat-4570	297	10	important	important	ADJ
easat-4570	297	11	as	as	SCONJ
easat-4570	297	12	this	this	PRON
easat-4570	297	13	really	really	ADV
easat-4570	297	14	indicates	indicate	VERB
easat-4570	297	15	whether	whether	SCONJ
easat-4570	297	16	the	the	DET
easat-4570	297	17	trained	train	VERB
easat-4570	297	18	model	model	NOUN
easat-4570	297	19	can	can	AUX
easat-4570	297	20	generalize	generalize	VERB
easat-4570	297	21	on	on	ADP
easat-4570	297	22	unseen	unseen	ADJ
easat-4570	297	23	data	datum	NOUN
easat-4570	297	24	and	and	CCONJ
easat-4570	297	25	whether	whether	SCONJ
easat-4570	297	26	it	it	PRON
easat-4570	297	27	is	be	AUX
easat-4570	297	28	useful	useful	ADJ
easat-4570	297	29	in	in	ADP
easat-4570	297	30	practical	practical	ADJ
easat-4570	297	31	deployment	deployment	NOUN
easat-4570	297	32	(	(	PUNCT
easat-4570	297	33	see	see	VERB
easat-4570	297	34	figure	figure	NOUN
easat-4570	297	35	7	7	NUM
easat-4570	297	36	)	)	PUNCT
easat-4570	297	37	.	.	PUNCT
easat-4570	298	1	700	700	NUM
easat-4570	298	2	edelweiss	edelweiss	PROPN
easat-4570	298	3	applied	apply	VERB
easat-4570	298	4	science	science	NOUN
easat-4570	298	5	and	and	CCONJ
easat-4570	298	6	technology	technology	NOUN
easat-4570	298	7	issn	issn	PROPN
easat-4570	298	8	:	:	PUNCT
easat-4570	298	9	2576	2576	NUM
easat-4570	298	10	-	-	SYM
easat-4570	298	11	8484	8484	NUM
easat-4570	298	12	vol	vol	NOUN
easat-4570	298	13	.	.	PROPN
easat-4570	299	1	9	9	NUM
easat-4570	299	2	,	,	PUNCT
easat-4570	299	3	no	no	INTJ
easat-4570	299	4	.	.	NOUN
easat-4570	299	5	2	2	NUM
easat-4570	299	6	:	:	PUNCT
easat-4570	299	7	682	682	NUM
easat-4570	299	8	-	-	SYM
easat-4570	299	9	707	707	NUM
easat-4570	299	10	,	,	PUNCT
easat-4570	299	11	2025	2025	NUM
easat-4570	299	12	doi	doi	NOUN
easat-4570	299	13	:	:	PUNCT
easat-4570	299	14	10.55214/25768484.v9i2.4570	10.55214/25768484.v9i2.4570	NUM
easat-4570	299	15	©	©	PROPN
easat-4570	299	16	2025	2025	NUM
easat-4570	299	17	by	by	ADP
easat-4570	299	18	the	the	DET
easat-4570	299	19	authors	author	NOUN
easat-4570	299	20	;	;	PUNCT
easat-4570	299	21	licensee	licensee	PROPN
easat-4570	299	22	learning	learn	VERB
easat-4570	299	23	gate	gate	NOUN
easat-4570	299	24	figure	figure	NOUN
easat-4570	299	25	7	7	NUM
easat-4570	299	26	.	.	PUNCT
easat-4570	299	27	auc	auc	NOUN
easat-4570	299	28	metric	metric	ADJ
easat-4570	299	29	for	for	ADP
easat-4570	299	30	5	5	NUM
easat-4570	299	31	-	-	NOUN
easat-4570	299	32	fold	fold	ADJ
easat-4570	299	33	,	,	PUNCT
easat-4570	299	34	10	10	NUM
easat-4570	299	35	-	-	ADJ
easat-4570	299	36	fold	fold	ADJ
easat-4570	299	37	and	and	CCONJ
easat-4570	299	38	testing	testing	NOUN
easat-4570	299	39	for	for	ADP
easat-4570	299	40	all	all	DET
easat-4570	299	41	the	the	DET
easat-4570	299	42	combinations	combination	NOUN
easat-4570	299	43	of	of	ADP
easat-4570	299	44	architecture	architecture	NOUN
easat-4570	299	45	and	and	CCONJ
easat-4570	299	46	classifiers	classifier	NOUN
easat-4570	299	47	.	.	PUNCT
easat-4570	300	1	the	the	DET
easat-4570	300	2	testing	testing	NOUN
easat-4570	300	3	accuracy	accuracy	NOUN
easat-4570	300	4	as	as	SCONJ
easat-4570	300	5	evaluated	evaluate	VERB
easat-4570	300	6	by	by	ADP
easat-4570	300	7	six	six	NUM
easat-4570	300	8	metrics	metric	NOUN
easat-4570	300	9	exhibits	exhibit	VERB
easat-4570	300	10	its	its	PRON
easat-4570	300	11	lowest	low	ADJ
easat-4570	300	12	cov	cov	NOUN
easat-4570	300	13	(	(	PUNCT
easat-4570	300	14	4.47	4.47	NUM
easat-4570	300	15	%	%	NOUN
easat-4570	300	16	)	)	PUNCT
easat-4570	300	17	when	when	SCONJ
easat-4570	300	18	decision	decision	NOUN
easat-4570	300	19	tree	tree	NOUN
easat-4570	300	20	classifier	classifier	NOUN
easat-4570	300	21	is	be	AUX
easat-4570	300	22	used	use	VERB
easat-4570	300	23	and	and	CCONJ
easat-4570	300	24	this	this	PRON
easat-4570	300	25	indicates	indicate	VERB
easat-4570	300	26	the	the	DET
easat-4570	300	27	most	most	ADV
easat-4570	300	28	robust	robust	ADJ
easat-4570	300	29	classifier	classifier	NOUN
easat-4570	300	30	for	for	ADP
easat-4570	300	31	different	different	ADJ
easat-4570	300	32	splitting	splitting	NOUN
easat-4570	300	33	schemes	scheme	NOUN
easat-4570	300	34	(	(	PUNCT
easat-4570	300	35	5	5	NUM
easat-4570	300	36	fold	fold	ADJ
easat-4570	300	37	and	and	CCONJ
easat-4570	300	38	10	10	NUM
easat-4570	300	39	fold	fold	ADJ
easat-4570	300	40	)	)	PUNCT
easat-4570	300	41	,	,	PUNCT
easat-4570	300	42	and	and	CCONJ
easat-4570	300	43	also	also	ADV
easat-4570	300	44	for	for	ADP
easat-4570	300	45	testing	testing	NOUN
easat-4570	300	46	over	over	ADP
easat-4570	300	47	all	all	DET
easat-4570	300	48	metrics	metric	NOUN
easat-4570	300	49	.	.	PUNCT
easat-4570	301	1	the	the	DET
easat-4570	301	2	next	next	ADJ
easat-4570	301	3	lowest	low	ADJ
easat-4570	301	4	(	(	PUNCT
easat-4570	301	5	best	good	ADJ
easat-4570	301	6	)	)	PUNCT
easat-4570	301	7	cov	cov	NOUN
easat-4570	301	8	(	(	PUNCT
easat-4570	301	9	4.54	4.54	NUM
easat-4570	301	10	%	%	NOUN
easat-4570	301	11	)	)	PUNCT
easat-4570	301	12	corresponds	correspond	VERB
easat-4570	301	13	to	to	ADP
easat-4570	301	14	the	the	DET
easat-4570	301	15	vgg16	vgg16	NOUN
easat-4570	301	16	architecture	architecture	NOUN
easat-4570	301	17	with	with	ADP
easat-4570	301	18	neural	neural	ADJ
easat-4570	301	19	network	network	NOUN
easat-4570	301	20	classifier	classifier	NOUN
easat-4570	301	21	.	.	PUNCT
easat-4570	302	1	the	the	DET
easat-4570	302	2	constant	constant	ADJ
easat-4570	302	3	superiority	superiority	NOUN
easat-4570	302	4	of	of	ADP
easat-4570	302	5	one	one	NUM
easat-4570	302	6	filter	filter	NOUN
easat-4570	302	7	over	over	ADP
easat-4570	302	8	the	the	DET
easat-4570	302	9	other	other	ADJ
easat-4570	302	10	for	for	ADP
easat-4570	302	11	all	all	DET
easat-4570	302	12	six	six	NUM
easat-4570	302	13	classifiers	classifier	NOUN
easat-4570	302	14	while	while	SCONJ
easat-4570	302	15	using	use	VERB
easat-4570	302	16	iv3	iv3	PROPN
easat-4570	302	17	was	be	AUX
easat-4570	302	18	an	an	DET
easat-4570	302	19	interesting	interesting	ADJ
easat-4570	302	20	observation	observation	NOUN
easat-4570	302	21	that	that	PRON
easat-4570	302	22	needs	need	VERB
easat-4570	302	23	further	further	ADJ
easat-4570	302	24	analysis	analysis	NOUN
easat-4570	302	25	.	.	PUNCT
easat-4570	303	1	this	this	PRON
easat-4570	303	2	indicates	indicate	VERB
easat-4570	303	3	a	a	DET
easat-4570	303	4	dependence	dependence	NOUN
easat-4570	303	5	of	of	ADP
easat-4570	303	6	the	the	DET
easat-4570	303	7	classification	classification	NOUN
easat-4570	303	8	on	on	ADP
easat-4570	303	9	the	the	DET
easat-4570	303	10	cut	cut	NOUN
easat-4570	303	11	off	off	ADP
easat-4570	303	12	frequency	frequency	NOUN
easat-4570	303	13	of	of	ADP
easat-4570	303	14	the	the	DET
easat-4570	303	15	filter	filter	NOUN
easat-4570	303	16	that	that	PRON
easat-4570	303	17	would	would	AUX
easat-4570	303	18	be	be	AUX
easat-4570	303	19	related	relate	VERB
easat-4570	303	20	to	to	ADP
easat-4570	303	21	the	the	DET
easat-4570	303	22	features	feature	NOUN
easat-4570	303	23	that	that	PRON
easat-4570	303	24	can	can	AUX
easat-4570	303	25	be	be	AUX
easat-4570	303	26	preserved	preserve	VERB
easat-4570	303	27	when	when	SCONJ
easat-4570	303	28	a	a	DET
easat-4570	303	29	higher	high	ADJ
easat-4570	303	30	cut	cut	NOUN
easat-4570	303	31	off	off	ADP
easat-4570	303	32	frequency	frequency	NOUN
easat-4570	303	33	is	be	AUX
easat-4570	303	34	used	use	VERB
easat-4570	303	35	.	.	PUNCT
easat-4570	304	1	701	701	NUM
easat-4570	304	2	edelweiss	edelweiss	PROPN
easat-4570	304	3	applied	apply	VERB
easat-4570	304	4	science	science	NOUN
easat-4570	304	5	and	and	CCONJ
easat-4570	304	6	technology	technology	NOUN
easat-4570	304	7	issn	issn	PROPN
easat-4570	304	8	:	:	PUNCT
easat-4570	304	9	2576	2576	NUM
easat-4570	304	10	-	-	SYM
easat-4570	304	11	8484	8484	NUM
easat-4570	304	12	vol	vol	NOUN
easat-4570	304	13	.	.	PROPN
easat-4570	305	1	9	9	NUM
easat-4570	305	2	,	,	PUNCT
easat-4570	305	3	no	no	INTJ
easat-4570	305	4	.	.	NOUN
easat-4570	305	5	2	2	NUM
easat-4570	305	6	:	:	PUNCT
easat-4570	305	7	682	682	NUM
easat-4570	305	8	-	-	SYM
easat-4570	305	9	707	707	NUM
easat-4570	305	10	,	,	PUNCT
easat-4570	305	11	2025	2025	NUM
easat-4570	305	12	doi	doi	NOUN
easat-4570	305	13	:	:	PUNCT
easat-4570	305	14	10.55214/25768484.v9i2.4570	10.55214/25768484.v9i2.4570	NUM
easat-4570	305	15	©	©	PROPN
easat-4570	305	16	2025	2025	NUM
easat-4570	305	17	by	by	ADP
easat-4570	305	18	the	the	DET
easat-4570	305	19	authors	author	NOUN
easat-4570	305	20	;	;	PUNCT
easat-4570	305	21	licensee	licensee	PROPN
easat-4570	305	22	learning	learn	VERB
easat-4570	305	23	gate	gate	PROPN
easat-4570	305	24	figure	figure	NOUN
easat-4570	305	25	8	8	NUM
easat-4570	305	26	.	.	PUNCT
easat-4570	306	1	representation	representation	NOUN
easat-4570	306	2	of	of	ADP
easat-4570	306	3	the	the	DET
easat-4570	306	4	effect	effect	NOUN
easat-4570	306	5	of	of	ADP
easat-4570	306	6	the	the	DET
easat-4570	306	7	butterworth	butterworth	NOUN
easat-4570	306	8	filters	filter	NOUN
easat-4570	306	9	on	on	ADP
easat-4570	306	10	three	three	NUM
easat-4570	306	11	cell	cell	NOUN
easat-4570	306	12	types	type	NOUN
easat-4570	306	13	.	.	PUNCT
easat-4570	307	1	subsequently	subsequently	ADV
easat-4570	307	2	,	,	PUNCT
easat-4570	307	3	butterworth	butterworth	NOUN
easat-4570	307	4	filters	filter	NOUN
easat-4570	307	5	(	(	PUNCT
easat-4570	307	6	bw1	bw1	PROPN
easat-4570	307	7	,	,	PUNCT
easat-4570	307	8	bw2	bw2	PROPN
easat-4570	307	9	,	,	PUNCT
easat-4570	307	10	bw3	bw3	PROPN
easat-4570	307	11	)	)	PUNCT
easat-4570	307	12	with	with	ADP
easat-4570	307	13	different	different	ADJ
easat-4570	307	14	parameters	parameter	NOUN
easat-4570	307	15	(	(	PUNCT
easat-4570	307	16	30/120/4	30/120/4	NUM
easat-4570	307	17	,	,	PUNCT
easat-4570	307	18	30/150/4	30/150/4	PROPN
easat-4570	307	19	,	,	PUNCT
easat-4570	307	20	50/150/4	50/150/4	NUM
easat-4570	307	21	)	)	PUNCT
easat-4570	307	22	were	be	AUX
easat-4570	307	23	applied	apply	VERB
easat-4570	307	24	to	to	ADP
easat-4570	307	25	the	the	DET
easat-4570	307	26	image	image	NOUN
easat-4570	307	27	dataset	dataset	NOUN
easat-4570	307	28	,	,	PUNCT
easat-4570	307	29	and	and	CCONJ
easat-4570	307	30	the	the	DET
easat-4570	307	31	filtered	filter	VERB
easat-4570	307	32	images	image	NOUN
easat-4570	307	33	were	be	AUX
easat-4570	307	34	used	use	VERB
easat-4570	307	35	for	for	ADP
easat-4570	307	36	training	training	NOUN
easat-4570	307	37	following	follow	VERB
easat-4570	307	38	the	the	DET
easat-4570	307	39	same	same	ADJ
easat-4570	307	40	procedure	procedure	NOUN
easat-4570	307	41	as	as	ADP
easat-4570	307	42	for	for	ADP
easat-4570	307	43	the	the	DET
easat-4570	307	44	unfiltered	unfiltered	ADJ
easat-4570	307	45	images	image	NOUN
easat-4570	307	46	(	(	PUNCT
easat-4570	307	47	see	see	VERB
easat-4570	307	48	figure	figure	NOUN
easat-4570	307	49	8)	8)	NUM
easat-4570	307	50	.	.	PUNCT
easat-4570	308	1	the	the	DET
easat-4570	308	2	maximum	maximum	ADJ
easat-4570	308	3	accuracy	accuracy	NOUN
easat-4570	308	4	metric	metric	ADJ
easat-4570	308	5	(	(	PUNCT
easat-4570	308	6	max	max	PROPN
easat-4570	308	7	)	)	PUNCT
easat-4570	308	8	,	,	PUNCT
easat-4570	308	9	its	its	PRON
easat-4570	308	10	average	average	ADJ
easat-4570	308	11	,	,	PUNCT
easat-4570	308	12	standard	standard	ADJ
easat-4570	308	13	deviation	deviation	NOUN
easat-4570	308	14	(	(	PUNCT
easat-4570	308	15	stdev	stdev	NOUN
easat-4570	308	16	)	)	PUNCT
easat-4570	308	17	and	and	CCONJ
easat-4570	308	18	cov	cov	PROPN
easat-4570	308	19	are	be	AUX
easat-4570	308	20	shown	show	VERB
easat-4570	308	21	in	in	ADP
easat-4570	308	22	table	table	NOUN
easat-4570	308	23	6	6	NUM
easat-4570	308	24	below	below	ADV
easat-4570	308	25	(	(	PUNCT
easat-4570	308	26	shown	show	VERB
easat-4570	308	27	for	for	ADP
easat-4570	308	28	auc	auc	NOUN
easat-4570	308	29	)	)	PUNCT
easat-4570	308	30	corresponding	correspond	VERB
easat-4570	308	31	to	to	ADP
easat-4570	308	32	all	all	DET
easat-4570	308	33	18	18	NUM
easat-4570	308	34	different	different	ADJ
easat-4570	308	35	combinations	combination	NOUN
easat-4570	308	36	of	of	ADP
easat-4570	308	37	architectures	architecture	NOUN
easat-4570	308	38	and	and	CCONJ
easat-4570	308	39	classifiers	classifier	NOUN
easat-4570	308	40	.	.	PUNCT
easat-4570	309	1	table	table	NOUN
easat-4570	309	2	6	6	NUM
easat-4570	309	3	.	.	PUNCT
easat-4570	310	1	comparison	comparison	NOUN
easat-4570	310	2	of	of	ADP
easat-4570	310	3	statistical	statistical	ADJ
easat-4570	310	4	measurements	measurement	NOUN
easat-4570	310	5	for	for	ADP
easat-4570	310	6	auc	auc	NOUN
easat-4570	310	7	of	of	ADP
easat-4570	310	8	18	18	NUM
easat-4570	310	9	different	different	ADJ
easat-4570	310	10	classifier	classifier	NOUN
easat-4570	310	11	/	/	SYM
easat-4570	310	12	architecture	architecture	NOUN
easat-4570	310	13	combination	combination	NOUN
easat-4570	310	14	for	for	ADP
easat-4570	310	15	filtered	filter	VERB
easat-4570	310	16	and	and	CCONJ
easat-4570	310	17	unfiltered	unfiltered	ADJ
easat-4570	310	18	data	datum	NOUN
easat-4570	310	19	.	.	PUNCT
easat-4570	311	1	bw1	bw1	PROPN
easat-4570	311	2	bw2	bw2	PROPN
easat-4570	311	3	bw3	bw3	PROPN
easat-4570	311	4	unfiltered	unfiltered	PROPN
easat-4570	311	5	max	max	PROPN
easat-4570	311	6	.	.	PROPN
easat-4570	312	1	98.00	98.00	NUM
easat-4570	312	2	97.80	97.80	NUM
easat-4570	312	3	97.20	97.20	NUM
easat-4570	312	4	98.10	98.10	NUM
easat-4570	312	5	average	average	NOUN
easat-4570	312	6	90.91	90.91	NUM
easat-4570	312	7	91.16	91.16	NUM
easat-4570	312	8	90.89	90.89	NUM
easat-4570	312	9	90.45	90.45	NUM
easat-4570	312	10	st	st	PROPN
easat-4570	312	11	.	.	PROPN
easat-4570	312	12	dev	dev	PROPN
easat-4570	312	13	.	.	PROPN
easat-4570	313	1	6.56	6.56	NUM
easat-4570	313	2	6.25	6.25	NUM
easat-4570	313	3	6.55	6.55	NUM
easat-4570	313	4	6.58	6.58	NUM
easat-4570	313	5	cov	cov	NOUN
easat-4570	313	6	.	.	PUNCT
easat-4570	314	1	7.21	7.21	NUM
easat-4570	314	2	6.85	6.85	NUM
easat-4570	314	3	7.20	7.20	NUM
easat-4570	314	4	7.28	7.28	NUM
easat-4570	314	5	a	a	DET
easat-4570	314	6	higher	high	ADJ
easat-4570	314	7	accuracy	accuracy	NOUN
easat-4570	314	8	is	be	AUX
easat-4570	314	9	observed	observe	VERB
easat-4570	314	10	for	for	ADP
easat-4570	314	11	images	image	NOUN
easat-4570	314	12	that	that	PRON
easat-4570	314	13	are	be	AUX
easat-4570	314	14	filtered	filter	VERB
easat-4570	314	15	with	with	ADP
easat-4570	314	16	all	all	DET
easat-4570	314	17	three	three	NUM
easat-4570	314	18	filters	filter	NOUN
easat-4570	314	19	when	when	SCONJ
easat-4570	314	20	compared	compare	VERB
easat-4570	314	21	to	to	ADP
easat-4570	314	22	the	the	DET
easat-4570	314	23	unfiltered	unfiltered	ADJ
easat-4570	314	24	dataset	dataset	NOUN
easat-4570	314	25	.	.	PUNCT
easat-4570	315	1	bw2	bw2	PROPN
easat-4570	315	2	exhibits	exhibit	VERB
easat-4570	315	3	a	a	DET
easat-4570	315	4	smaller	small	ADJ
easat-4570	315	5	variance	variance	NOUN
easat-4570	315	6	across	across	ADP
easat-4570	315	7	all	all	DET
easat-4570	315	8	18	18	NUM
easat-4570	315	9	combinations	combination	NOUN
easat-4570	315	10	and	and	CCONJ
easat-4570	315	11	therefore	therefore	ADV
easat-4570	315	12	a	a	DET
easat-4570	315	13	smaller	small	ADJ
easat-4570	315	14	cov	cov	NOUN
easat-4570	315	15	.	.	PUNCT
easat-4570	316	1	702	702	NUM
easat-4570	316	2	edelweiss	edelweiss	PROPN
easat-4570	316	3	applied	apply	VERB
easat-4570	316	4	science	science	NOUN
easat-4570	316	5	and	and	CCONJ
easat-4570	316	6	technology	technology	NOUN
easat-4570	316	7	issn	issn	PROPN
easat-4570	316	8	:	:	PUNCT
easat-4570	316	9	2576	2576	NUM
easat-4570	316	10	-	-	SYM
easat-4570	316	11	8484	8484	NUM
easat-4570	316	12	vol	vol	NOUN
easat-4570	316	13	.	.	PROPN
easat-4570	317	1	9	9	NUM
easat-4570	317	2	,	,	PUNCT
easat-4570	317	3	no	no	INTJ
easat-4570	317	4	.	.	NOUN
easat-4570	317	5	2	2	NUM
easat-4570	317	6	:	:	PUNCT
easat-4570	317	7	682	682	NUM
easat-4570	317	8	-	-	SYM
easat-4570	317	9	707	707	NUM
easat-4570	317	10	,	,	PUNCT
easat-4570	317	11	2025	2025	NUM
easat-4570	317	12	doi	doi	NOUN
easat-4570	317	13	:	:	PUNCT
easat-4570	317	14	10.55214/25768484.v9i2.4570	10.55214/25768484.v9i2.4570	NUM
easat-4570	317	15	©	©	PROPN
easat-4570	317	16	2025	2025	NUM
easat-4570	317	17	by	by	ADP
easat-4570	317	18	the	the	DET
easat-4570	317	19	authors	author	NOUN
easat-4570	317	20	;	;	PUNCT
easat-4570	317	21	licensee	licensee	PROPN
easat-4570	317	22	learning	learn	VERB
easat-4570	317	23	gate	gate	NOUN
easat-4570	317	24	figure	figure	NOUN
easat-4570	317	25	9	9	NUM
easat-4570	317	26	.	.	PUNCT
easat-4570	317	27	auc	auc	NOUN
easat-4570	317	28	metric	metric	ADJ
easat-4570	317	29	for	for	ADP
easat-4570	317	30	three	three	NUM
easat-4570	317	31	butterworth	butterworth	ADJ
easat-4570	317	32	filter	filter	NOUN
easat-4570	317	33	and	and	CCONJ
easat-4570	317	34	unfiltered	unfiltered	ADJ
easat-4570	317	35	dataset	dataset	NOUN
easat-4570	317	36	for	for	ADP
easat-4570	317	37	all	all	DET
easat-4570	317	38	architecture	architecture	NOUN
easat-4570	317	39	-	-	PUNCT
easat-4570	317	40	classifier	classifier	NOUN
easat-4570	317	41	pairs	pair	NOUN
easat-4570	317	42	.	.	PUNCT
easat-4570	318	1	significant	significant	ADJ
easat-4570	318	2	differences	difference	NOUN
easat-4570	318	3	in	in	ADP
easat-4570	318	4	accuracy	accuracy	NOUN
easat-4570	318	5	were	be	AUX
easat-4570	318	6	observed	observe	VERB
easat-4570	318	7	among	among	ADP
easat-4570	318	8	the	the	DET
easat-4570	318	9	filtered	filter	VERB
easat-4570	318	10	images	image	NOUN
easat-4570	318	11	,	,	PUNCT
easat-4570	318	12	when	when	SCONJ
easat-4570	318	13	comparing	compare	VERB
easat-4570	318	14	the	the	DET
easat-4570	318	15	results	result	NOUN
easat-4570	318	16	of	of	ADP
easat-4570	318	17	18	18	NUM
easat-4570	318	18	different	different	ADJ
easat-4570	318	19	classifier	classifier	NOUN
easat-4570	318	20	-	-	PUNCT
easat-4570	318	21	architecture	architecture	NOUN
easat-4570	318	22	combination	combination	NOUN
easat-4570	318	23	,	,	PUNCT
easat-4570	318	24	given	give	VERB
easat-4570	318	25	in	in	ADP
easat-4570	318	26	table	table	NOUN
easat-4570	318	27	7	7	NUM
easat-4570	318	28	.	.	PUNCT
easat-4570	319	1	a	a	DET
easat-4570	319	2	graphical	graphical	ADJ
easat-4570	319	3	representation	representation	NOUN
easat-4570	319	4	is	be	AUX
easat-4570	319	5	also	also	ADV
easat-4570	319	6	shown	show	VERB
easat-4570	319	7	in	in	ADP
easat-4570	319	8	figure	figure	NOUN
easat-4570	319	9	9	9	NUM
easat-4570	319	10	.	.	PUNCT
easat-4570	320	1	specifically	specifically	ADV
easat-4570	320	2	,	,	PUNCT
easat-4570	320	3	the	the	DET
easat-4570	320	4	accuracy	accuracy	NOUN
easat-4570	320	5	obtained	obtain	VERB
easat-4570	320	6	with	with	ADP
easat-4570	320	7	filter	filter	NOUN
easat-4570	320	8	bw1	bw1	NOUN
easat-4570	320	9	was	be	AUX
easat-4570	320	10	significantly	significantly	ADV
easat-4570	320	11	higher	high	ADJ
easat-4570	320	12	than	than	ADP
easat-4570	320	13	with	with	ADP
easat-4570	320	14	filter	filter	NOUN
easat-4570	320	15	bw3	bw3	PROPN
easat-4570	320	16	(	(	PUNCT
easat-4570	320	17	p	p	X
easat-4570	320	18	=	=	NOUN
easat-4570	320	19	0.04	0.04	NUM
easat-4570	320	20	)	)	PUNCT
easat-4570	320	21	when	when	SCONJ
easat-4570	320	22	decision	decision	NOUN
easat-4570	320	23	tree	tree	NOUN
easat-4570	320	24	classifiers	classifier	NOUN
easat-4570	320	25	were	be	AUX
easat-4570	320	26	combined	combine	VERB
easat-4570	320	27	with	with	ADP
easat-4570	320	28	all	all	DET
easat-4570	320	29	three	three	NUM
easat-4570	320	30	architectures	architecture	NOUN
easat-4570	320	31	.	.	PUNCT
easat-4570	321	1	furthermore	furthermore	ADV
easat-4570	321	2	,	,	PUNCT
easat-4570	321	3	when	when	SCONJ
easat-4570	321	4	the	the	DET
easat-4570	321	5	decision	decision	NOUN
easat-4570	321	6	tree	tree	NOUN
easat-4570	321	7	classifier	classifier	NOUN
easat-4570	321	8	was	be	AUX
easat-4570	321	9	paired	pair	VERB
easat-4570	321	10	with	with	ADP
easat-4570	321	11	vgg16	vgg16	PROPN
easat-4570	321	12	,	,	PUNCT
easat-4570	321	13	the	the	DET
easat-4570	321	14	accuracies	accuracy	NOUN
easat-4570	321	15	for	for	ADP
easat-4570	321	16	all	all	DET
easat-4570	321	17	three	three	NUM
easat-4570	321	18	filters	filter	NOUN
easat-4570	321	19	exceeded	exceed	VERB
easat-4570	321	20	those	those	PRON
easat-4570	321	21	of	of	ADP
easat-4570	321	22	the	the	DET
easat-4570	321	23	unfiltered	unfiltered	ADJ
easat-4570	321	24	dataset	dataset	NOUN
easat-4570	321	25	.	.	PUNCT
easat-4570	322	1	this	this	PRON
easat-4570	322	2	indicates	indicate	VERB
easat-4570	322	3	not	not	PART
easat-4570	322	4	only	only	ADV
easat-4570	322	5	a	a	DET
easat-4570	322	6	significant	significant	ADJ
easat-4570	322	7	difference	difference	NOUN
easat-4570	322	8	between	between	ADP
easat-4570	322	9	the	the	DET
easat-4570	322	10	same	same	ADJ
easat-4570	322	11	filter	filter	NOUN
easat-4570	322	12	class	class	NOUN
easat-4570	322	13	but	but	CCONJ
easat-4570	322	14	also	also	ADV
easat-4570	322	15	a	a	DET
easat-4570	322	16	complete	complete	ADJ
easat-4570	322	17	superiority	superiority	NOUN
easat-4570	322	18	of	of	ADP
easat-4570	322	19	this	this	DET
easat-4570	322	20	filter	filter	NOUN
easat-4570	322	21	class	class	NOUN
easat-4570	322	22	when	when	SCONJ
easat-4570	322	23	compared	compare	VERB
easat-4570	322	24	to	to	ADP
easat-4570	322	25	the	the	DET
easat-4570	322	26	unfiltered	unfiltered	ADJ
easat-4570	322	27	dataset	dataset	NOUN
easat-4570	322	28	.	.	PUNCT
easat-4570	323	1	table	table	NOUN
easat-4570	323	2	7	7	NUM
easat-4570	323	3	.	.	PUNCT
easat-4570	324	1	statistical	statistical	ADJ
easat-4570	324	2	measurements	measurement	NOUN
easat-4570	324	3	of	of	ADP
easat-4570	324	4	18	18	NUM
easat-4570	324	5	different	different	ADJ
easat-4570	324	6	classifier	classifier	NOUN
easat-4570	324	7	/	/	SYM
easat-4570	324	8	architecture	architecture	NOUN
easat-4570	324	9	combination	combination	NOUN
easat-4570	324	10	.	.	PUNCT
easat-4570	325	1	bw1	bw1	VERB
easat-4570	325	2	bw2	bw2	PROPN
easat-4570	325	3	bw3	bw3	PROPN
easat-4570	325	4	unfiltered	unfiltered	PROPN
easat-4570	325	5	knn_iv3	knn_iv3	NOUN
easat-4570	325	6	0.932	0.932	NUM
easat-4570	325	7	0.94	0.94	NUM
easat-4570	325	8	0.935	0.935	NUM
easat-4570	325	9	0.936	0.936	NUM
easat-4570	325	10	knn_sn	knn_sn	NOUN
easat-4570	326	1	0.951	0.951	NUM
easat-4570	326	2	0.95	0.95	NUM
easat-4570	326	3	0.957	0.957	NUM
easat-4570	326	4	0.954	0.954	NUM
easat-4570	326	5	knn_vgg16	knn_vgg16	NOUN
easat-4570	326	6	0.957	0.957	NUM
easat-4570	326	7	0.956	0.956	NUM
easat-4570	326	8	0.956	0.956	NUM
easat-4570	326	9	0.957	0.957	NUM
easat-4570	326	10	dt_iv3	dt_iv3	ADP
easat-4570	326	11	0.793	0.793	NUM
easat-4570	326	12	0.794	0.794	NUM
easat-4570	326	13	0.784	0.784	NUM
easat-4570	326	14	0.808	0.808	NUM
easat-4570	326	15	dt_sn	dt_sn	VERB
easat-4570	326	16	0.825	0.825	NUM
easat-4570	326	17	0.841	0.841	NUM
easat-4570	326	18	0.811	0.811	NUM
easat-4570	326	19	0.825	0.825	NUM
easat-4570	326	20	dt_vgg16	dt_vgg16	VERB
easat-4570	326	21	0.899	0.899	NUM
easat-4570	326	22	0.885	0.885	NUM
easat-4570	326	23	0.88	0.88	NUM
easat-4570	326	24	0.856	0.856	NUM
easat-4570	326	25	rf_iv3	rf_iv3	NOUN
easat-4570	326	26	0.92	0.92	NUM
easat-4570	326	27	0.919	0.919	NUM
easat-4570	326	28	0.924	0.924	NUM
easat-4570	326	29	0.923	0.923	NUM
easat-4570	326	30	rf_sn	rf_sn	PROPN
easat-4570	326	31	0.951	0.951	NUM
easat-4570	326	32	0.951	0.951	NUM
easat-4570	326	33	0.95	0.95	NUM
easat-4570	326	34	0.96	0.96	NUM
easat-4570	326	35	rf_vgg16	rf_vgg16	NOUN
easat-4570	326	36	0.967	0.967	NUM
easat-4570	326	37	0.967	0.967	NUM
easat-4570	326	38	0.967	0.967	NUM
easat-4570	326	39	0.965	0.965	NUM
easat-4570	326	40	ab_iv3	ab_iv3	NOUN
easat-4570	326	41	0.778	0.778	NUM
easat-4570	326	42	0.786	0.786	NUM
easat-4570	326	43	0.785	0.785	NUM
easat-4570	326	44	0.789	0.789	NUM
easat-4570	326	45	ab_sn	ab_sn	NOUN
easat-4570	326	46	0.84	0.84	NUM
easat-4570	326	47	0.834	0.834	NUM
easat-4570	326	48	0.835	0.835	NUM
easat-4570	326	49	0.818	0.818	NUM
easat-4570	326	50	ab_vgg16	ab_vgg16	ADP
easat-4570	326	51	0.841	0.841	NUM
easat-4570	326	52	0.874	0.874	NUM
easat-4570	326	53	0.87	0.87	NUM
easat-4570	326	54	0.849	0.849	NUM
easat-4570	326	55	nn_iv3	nn_iv3	ADP
easat-4570	326	56	0.973	0.973	NUM
easat-4570	326	57	0.978	0.978	NUM
easat-4570	326	58	0.965	0.965	NUM
easat-4570	326	59	0.981	0.981	NUM
easat-4570	326	60	nn_sn	nn_sn	ADP
easat-4570	326	61	0.976	0.976	NUM
easat-4570	326	62	0.975	0.975	NUM
easat-4570	326	63	0.972	0.972	NUM
easat-4570	326	64	0.975	0.975	NUM
easat-4570	326	65	nn_vgg16	nn_vgg16	NOUN
easat-4570	326	66	0.98	0.98	NUM
easat-4570	326	67	0.977	0.977	NUM
easat-4570	326	68	0.968	0.968	NUM
easat-4570	326	69	0.981	0.981	NUM
easat-4570	326	70	nb_iv3	nb_iv3	ADP
easat-4570	326	71	0.896	0.896	NUM
easat-4570	326	72	0.899	0.899	NUM
easat-4570	326	73	0.903	0.903	NUM
easat-4570	326	74	0.888	0.888	NUM
easat-4570	326	75	nb_sn	nb_sn	PROPN
easat-4570	326	76	0.94	0.94	NUM
easat-4570	326	77	0.938	0.938	NUM
easat-4570	326	78	0.944	0.944	NUM
easat-4570	326	79	0.936	0.936	NUM
easat-4570	326	80	nb_vgg16	nb_vgg16	NOUN
easat-4570	326	81	0.945	0.945	NUM
easat-4570	326	82	0.945	0.945	NUM
easat-4570	326	83	0.955	0.955	NUM
easat-4570	326	84	0.88	0.88	NUM
easat-4570	326	85	703	703	NUM
easat-4570	326	86	edelweiss	edelweiss	PROPN
easat-4570	326	87	applied	apply	VERB
easat-4570	326	88	science	science	NOUN
easat-4570	326	89	and	and	CCONJ
easat-4570	326	90	technology	technology	NOUN
easat-4570	326	91	issn	issn	PROPN
easat-4570	326	92	:	:	PUNCT
easat-4570	326	93	2576	2576	NUM
easat-4570	326	94	-	-	SYM
easat-4570	326	95	8484	8484	NUM
easat-4570	326	96	vol	vol	NOUN
easat-4570	326	97	.	.	PROPN
easat-4570	327	1	9	9	NUM
easat-4570	327	2	,	,	PUNCT
easat-4570	327	3	no	no	INTJ
easat-4570	327	4	.	.	NOUN
easat-4570	327	5	2	2	NUM
easat-4570	327	6	:	:	PUNCT
easat-4570	327	7	682	682	NUM
easat-4570	327	8	-	-	SYM
easat-4570	327	9	707	707	NUM
easat-4570	327	10	,	,	PUNCT
easat-4570	327	11	2025	2025	NUM
easat-4570	327	12	doi	doi	NOUN
easat-4570	327	13	:	:	PUNCT
easat-4570	327	14	10.55214/25768484.v9i2.4570	10.55214/25768484.v9i2.4570	NUM
easat-4570	327	15	©	©	PROPN
easat-4570	327	16	2025	2025	NUM
easat-4570	327	17	by	by	ADP
easat-4570	327	18	the	the	DET
easat-4570	327	19	authors	author	NOUN
easat-4570	327	20	;	;	PUNCT
easat-4570	327	21	licensee	licensee	PROPN
easat-4570	327	22	learning	learning	NOUN
easat-4570	327	23	gate	gate	VERB
easat-4570	327	24	a	a	DET
easat-4570	327	25	significant	significant	ADJ
easat-4570	327	26	difference	difference	NOUN
easat-4570	327	27	is	be	AUX
easat-4570	327	28	observed	observe	VERB
easat-4570	327	29	for	for	ADP
easat-4570	327	30	the	the	DET
easat-4570	327	31	accuracies	accuracy	NOUN
easat-4570	327	32	when	when	SCONJ
easat-4570	327	33	bw1	bw1	NOUN
easat-4570	327	34	and	and	CCONJ
easat-4570	327	35	bw2	bw2	PROPN
easat-4570	327	36	is	be	AUX
easat-4570	327	37	compared	compare	VERB
easat-4570	327	38	(	(	PUNCT
easat-4570	327	39	p=0.045	p=0.045	X
easat-4570	327	40	)	)	PUNCT
easat-4570	327	41	when	when	SCONJ
easat-4570	327	42	iv3	iv3	PROPN
easat-4570	327	43	is	be	AUX
easat-4570	327	44	used	use	VERB
easat-4570	327	45	with	with	ADP
easat-4570	327	46	all	all	DET
easat-4570	327	47	six	six	NUM
easat-4570	327	48	classifiers	classifier	NOUN
easat-4570	327	49	.	.	PUNCT
easat-4570	328	1	no	no	DET
easat-4570	328	2	statistically	statistically	ADV
easat-4570	328	3	significant	significant	ADJ
easat-4570	328	4	differences	difference	NOUN
easat-4570	328	5	were	be	AUX
easat-4570	328	6	observed	observe	VERB
easat-4570	328	7	between	between	ADP
easat-4570	328	8	the	the	DET
easat-4570	328	9	three	three	NUM
easat-4570	328	10	butterworth	butterworth	ADJ
easat-4570	328	11	filters	filter	NOUN
easat-4570	328	12	and	and	CCONJ
easat-4570	328	13	the	the	DET
easat-4570	328	14	unfiltered	unfiltered	ADJ
easat-4570	328	15	dataset	dataset	NOUN
easat-4570	328	16	when	when	SCONJ
easat-4570	328	17	squeezenet	squeezenet	NOUN
easat-4570	328	18	and	and	CCONJ
easat-4570	328	19	vgg16	vgg16	NOUN
easat-4570	328	20	architectures	architecture	NOUN
easat-4570	328	21	are	be	AUX
easat-4570	328	22	used	use	VERB
easat-4570	328	23	.	.	PUNCT
easat-4570	329	1	6	6	X
easat-4570	329	2	.	.	X
easat-4570	329	3	conclusions	conclusion	NOUN
easat-4570	329	4	cell	cell	NOUN
easat-4570	329	5	imaging	imaging	NOUN
easat-4570	329	6	is	be	AUX
easat-4570	329	7	inherently	inherently	ADV
easat-4570	329	8	a	a	DET
easat-4570	329	9	challenging	challenging	ADJ
easat-4570	329	10	problem	problem	NOUN
easat-4570	329	11	,	,	PUNCT
easat-4570	329	12	and	and	CCONJ
easat-4570	329	13	this	this	PRON
easat-4570	329	14	becomes	become	VERB
easat-4570	329	15	more	more	ADV
easat-4570	329	16	obvious	obvious	ADJ
easat-4570	329	17	in	in	ADP
easat-4570	329	18	the	the	DET
easat-4570	329	19	case	case	NOUN
easat-4570	329	20	of	of	ADP
easat-4570	329	21	microfluidics	microfluidics	NOUN
easat-4570	329	22	settings	setting	NOUN
easat-4570	329	23	.	.	PUNCT
easat-4570	330	1	one	one	NUM
easat-4570	330	2	of	of	ADP
easat-4570	330	3	the	the	DET
easat-4570	330	4	important	important	ADJ
easat-4570	330	5	experiments	experiment	NOUN
easat-4570	330	6	is	be	AUX
easat-4570	330	7	both	both	PRON
easat-4570	330	8	intraclass	intraclass	ADJ
easat-4570	330	9	and	and	CCONJ
easat-4570	330	10	interclass	interclass	VERB
easat-4570	330	11	cell	cell	NOUN
easat-4570	330	12	image	image	NOUN
easat-4570	330	13	classification	classification	NOUN
easat-4570	330	14	.	.	PUNCT
easat-4570	331	1	here	here	ADV
easat-4570	331	2	we	we	PRON
easat-4570	331	3	systematically	systematically	ADV
easat-4570	331	4	investigated	investigate	VERB
easat-4570	331	5	the	the	DET
easat-4570	331	6	most	most	ADV
easat-4570	331	7	optimal	optimal	ADJ
easat-4570	331	8	combination	combination	NOUN
easat-4570	331	9	of	of	ADP
easat-4570	331	10	architecture	architecture	NOUN
easat-4570	331	11	(	(	PUNCT
easat-4570	331	12	among	among	ADP
easat-4570	331	13	inception	inception	PROPN
easat-4570	331	14	v3	v3	PROPN
easat-4570	331	15	,	,	PUNCT
easat-4570	331	16	squeezenet	squeezenet	NOUN
easat-4570	331	17	,	,	PUNCT
easat-4570	331	18	and	and	CCONJ
easat-4570	331	19	vgg16	vgg16	PROPN
easat-4570	331	20	)	)	PUNCT
easat-4570	331	21	and	and	CCONJ
easat-4570	331	22	classifier	classifier	NOUN
easat-4570	331	23	(	(	PUNCT
easat-4570	331	24	from	from	ADP
easat-4570	331	25	knn	knn	PROPN
easat-4570	331	26	,	,	PUNCT
easat-4570	331	27	decision	decision	NOUN
easat-4570	331	28	tree	tree	NOUN
easat-4570	331	29	,	,	PUNCT
easat-4570	331	30	random	random	ADJ
easat-4570	331	31	forest	forest	NOUN
easat-4570	331	32	,	,	PUNCT
easat-4570	331	33	adaboost	adaboost	ADV
easat-4570	331	34	,	,	PUNCT
easat-4570	331	35	neural	neural	ADJ
easat-4570	331	36	network	network	NOUN
easat-4570	331	37	,	,	PUNCT
easat-4570	331	38	and	and	CCONJ
easat-4570	331	39	naïve	naïve	ADJ
easat-4570	331	40	bayes	bayes	NOUN
easat-4570	331	41	)	)	PUNCT
easat-4570	331	42	that	that	PRON
easat-4570	331	43	can	can	AUX
easat-4570	331	44	be	be	AUX
easat-4570	331	45	used	use	VERB
easat-4570	331	46	for	for	ADP
easat-4570	331	47	robust	robust	ADJ
easat-4570	331	48	supervised	supervised	ADJ
easat-4570	331	49	classification	classification	NOUN
easat-4570	331	50	of	of	ADP
easat-4570	331	51	different	different	ADJ
easat-4570	331	52	cells	cell	NOUN
easat-4570	331	53	from	from	ADP
easat-4570	331	54	unstained	unstained	ADJ
easat-4570	331	55	brightfield	brightfield	NOUN
easat-4570	331	56	images	image	NOUN
easat-4570	331	57	.	.	PUNCT
easat-4570	332	1	we	we	PRON
easat-4570	332	2	observe	observe	VERB
easat-4570	332	3	a	a	DET
easat-4570	332	4	common	common	ADJ
easat-4570	332	5	superiority	superiority	NOUN
easat-4570	332	6	of	of	ADP
easat-4570	332	7	the	the	DET
easat-4570	332	8	vgg16	vgg16	NOUN
easat-4570	332	9	architecture	architecture	NOUN
easat-4570	332	10	over	over	ADP
easat-4570	332	11	the	the	DET
easat-4570	332	12	other	other	ADJ
easat-4570	332	13	two	two	NUM
easat-4570	332	14	in	in	ADP
easat-4570	332	15	the	the	DET
easat-4570	332	16	classification	classification	NOUN
easat-4570	332	17	of	of	ADP
easat-4570	332	18	the	the	DET
easat-4570	332	19	cell	cell	NOUN
easat-4570	332	20	images	image	NOUN
easat-4570	332	21	and	and	CCONJ
easat-4570	332	22	this	this	PRON
easat-4570	332	23	indicates	indicate	VERB
easat-4570	332	24	the	the	DET
easat-4570	332	25	benefit	benefit	NOUN
easat-4570	332	26	of	of	ADP
easat-4570	332	27	a	a	DET
easat-4570	332	28	deeper	deep	ADJ
easat-4570	332	29	architecture	architecture	NOUN
easat-4570	332	30	that	that	PRON
easat-4570	332	31	would	would	AUX
easat-4570	332	32	allow	allow	VERB
easat-4570	332	33	the	the	DET
easat-4570	332	34	extraction	extraction	NOUN
easat-4570	332	35	of	of	ADP
easat-4570	332	36	more	more	ADJ
easat-4570	332	37	complex	complex	ADJ
easat-4570	332	38	features	feature	NOUN
easat-4570	332	39	from	from	ADP
easat-4570	332	40	challenging	challenge	VERB
easat-4570	332	41	texture	texture	ADJ
easat-4570	332	42	and	and	CCONJ
easat-4570	332	43	morphological	morphological	ADJ
easat-4570	332	44	structures	structure	NOUN
easat-4570	332	45	.	.	PUNCT
easat-4570	333	1	among	among	ADP
easat-4570	333	2	the	the	DET
easat-4570	333	3	classifiers	classifier	NOUN
easat-4570	333	4	,	,	PUNCT
easat-4570	333	5	the	the	DET
easat-4570	333	6	neural	neural	ADJ
easat-4570	333	7	network	network	NOUN
easat-4570	333	8	consistently	consistently	ADV
easat-4570	333	9	achieved	achieve	VERB
easat-4570	333	10	the	the	DET
easat-4570	333	11	highest	high	ADJ
easat-4570	333	12	classification	classification	NOUN
easat-4570	333	13	metrics	metric	NOUN
easat-4570	333	14	when	when	SCONJ
easat-4570	333	15	paired	pair	VERB
easat-4570	333	16	with	with	ADP
easat-4570	333	17	vgg16	vgg16	NOUN
easat-4570	333	18	,	,	PUNCT
easat-4570	333	19	demonstrating	demonstrate	VERB
easat-4570	333	20	its	its	PRON
easat-4570	333	21	ability	ability	NOUN
easat-4570	333	22	to	to	PART
easat-4570	333	23	effectively	effectively	ADV
easat-4570	333	24	utilize	utilize	VERB
easat-4570	333	25	the	the	DET
easat-4570	333	26	rich	rich	ADJ
easat-4570	333	27	feature	feature	NOUN
easat-4570	333	28	representations	representation	NOUN
easat-4570	333	29	extracted	extract	VERB
easat-4570	333	30	by	by	ADP
easat-4570	333	31	the	the	DET
easat-4570	333	32	architecture	architecture	NOUN
easat-4570	333	33	.	.	PUNCT
easat-4570	334	1	while	while	SCONJ
easat-4570	334	2	other	other	ADJ
easat-4570	334	3	classifiers	classifier	NOUN
easat-4570	334	4	such	such	ADJ
easat-4570	334	5	as	as	ADP
easat-4570	334	6	random	random	ADJ
easat-4570	334	7	forest	forest	NOUN
easat-4570	334	8	and	and	CCONJ
easat-4570	334	9	knn	knn	PROPN
easat-4570	334	10	performed	perform	VERB
easat-4570	334	11	well	well	ADV
easat-4570	334	12	in	in	ADP
easat-4570	334	13	specific	specific	ADJ
easat-4570	334	14	scenarios	scenario	NOUN
easat-4570	334	15	,	,	PUNCT
easat-4570	334	16	they	they	PRON
easat-4570	334	17	were	be	AUX
easat-4570	334	18	unable	unable	ADJ
easat-4570	334	19	to	to	PART
easat-4570	334	20	match	match	VERB
easat-4570	334	21	the	the	DET
easat-4570	334	22	flexibility	flexibility	NOUN
easat-4570	334	23	and	and	CCONJ
easat-4570	334	24	accuracy	accuracy	NOUN
easat-4570	334	25	of	of	ADP
easat-4570	334	26	neural	neural	ADJ
easat-4570	334	27	networks	network	NOUN
easat-4570	334	28	across	across	ADP
easat-4570	334	29	the	the	DET
easat-4570	334	30	different	different	ADJ
easat-4570	334	31	experimental	experimental	ADJ
easat-4570	334	32	conditions	condition	NOUN
easat-4570	334	33	.	.	PUNCT
easat-4570	335	1	the	the	DET
easat-4570	335	2	use	use	NOUN
easat-4570	335	3	of	of	ADP
easat-4570	335	4	butterworth	butterworth	NOUN
easat-4570	335	5	filters	filter	NOUN
easat-4570	335	6	with	with	ADP
easat-4570	335	7	several	several	ADJ
easat-4570	335	8	parameters	parameter	NOUN
easat-4570	335	9	as	as	ADP
easat-4570	335	10	a	a	DET
easat-4570	335	11	preprocessing	preprocessing	NOUN
easat-4570	335	12	step	step	NOUN
easat-4570	335	13	proved	prove	VERB
easat-4570	335	14	to	to	PART
easat-4570	335	15	be	be	AUX
easat-4570	335	16	useful	useful	ADJ
easat-4570	335	17	in	in	ADP
easat-4570	335	18	improving	improve	VERB
easat-4570	335	19	the	the	DET
easat-4570	335	20	classification	classification	NOUN
easat-4570	335	21	accuracy	accuracy	NOUN
easat-4570	335	22	and	and	CCONJ
easat-4570	335	23	in	in	ADP
easat-4570	335	24	indicating	indicate	VERB
easat-4570	335	25	the	the	DET
easat-4570	335	26	importance	importance	NOUN
easat-4570	335	27	of	of	ADP
easat-4570	335	28	the	the	DET
easat-4570	335	29	parameters	parameter	NOUN
easat-4570	335	30	in	in	ADP
easat-4570	335	31	differentiating	differentiate	VERB
easat-4570	335	32	the	the	DET
easat-4570	335	33	filters	filter	NOUN
easat-4570	335	34	of	of	ADP
easat-4570	335	35	the	the	DET
easat-4570	335	36	same	same	ADJ
easat-4570	335	37	family	family	NOUN
easat-4570	335	38	.	.	PUNCT
easat-4570	336	1	the	the	DET
easat-4570	336	2	significant	significant	ADJ
easat-4570	336	3	improvement	improvement	NOUN
easat-4570	336	4	in	in	ADP
easat-4570	336	5	the	the	DET
easat-4570	336	6	accuracy	accuracy	NOUN
easat-4570	336	7	as	as	ADP
easat-4570	336	8	a	a	DET
easat-4570	336	9	function	function	NOUN
easat-4570	336	10	of	of	ADP
easat-4570	336	11	the	the	DET
easat-4570	336	12	filter	filter	NOUN
easat-4570	336	13	parameters	parameter	NOUN
easat-4570	336	14	indicates	indicate	VERB
easat-4570	336	15	the	the	DET
easat-4570	336	16	importance	importance	NOUN
easat-4570	336	17	of	of	ADP
easat-4570	336	18	the	the	DET
easat-4570	336	19	cut	cut	NOUN
easat-4570	336	20	off	off	ADP
easat-4570	336	21	values	value	NOUN
easat-4570	336	22	and	and	CCONJ
easat-4570	336	23	the	the	DET
easat-4570	336	24	order	order	NOUN
easat-4570	336	25	of	of	ADP
easat-4570	336	26	the	the	DET
easat-4570	336	27	filter	filter	NOUN
easat-4570	336	28	.	.	PUNCT
easat-4570	337	1	optimization	optimization	NOUN
easat-4570	337	2	of	of	ADP
easat-4570	337	3	these	these	DET
easat-4570	337	4	two	two	NUM
easat-4570	337	5	parameters	parameter	NOUN
easat-4570	337	6	critically	critically	ADV
easat-4570	337	7	balances	balance	VERB
easat-4570	337	8	the	the	DET
easat-4570	337	9	preservation	preservation	NOUN
easat-4570	337	10	of	of	ADP
easat-4570	337	11	the	the	DET
easat-4570	337	12	features	feature	NOUN
easat-4570	337	13	and	and	CCONJ
easat-4570	337	14	the	the	DET
easat-4570	337	15	noise	noise	NOUN
easat-4570	337	16	reduction	reduction	NOUN
easat-4570	337	17	.	.	PUNCT
easat-4570	338	1	this	this	PRON
easat-4570	338	2	underscores	underscore	VERB
easat-4570	338	3	the	the	DET
easat-4570	338	4	importance	importance	NOUN
easat-4570	338	5	of	of	ADP
easat-4570	338	6	optimizing	optimize	VERB
easat-4570	338	7	preprocessing	preprocesse	VERB
easat-4570	338	8	techniques	technique	NOUN
easat-4570	338	9	to	to	ADP
easat-4570	338	10	the	the	DET
easat-4570	338	11	specific	specific	ADJ
easat-4570	338	12	characteristics	characteristic	NOUN
easat-4570	338	13	of	of	ADP
easat-4570	338	14	the	the	DET
easat-4570	338	15	dataset	dataset	NOUN
easat-4570	338	16	to	to	PART
easat-4570	338	17	maximize	maximize	VERB
easat-4570	338	18	model	model	NOUN
easat-4570	338	19	performance	performance	NOUN
easat-4570	338	20	.	.	PUNCT
easat-4570	339	1	the	the	DET
easat-4570	339	2	results	result	NOUN
easat-4570	339	3	presented	present	VERB
easat-4570	339	4	here	here	ADV
easat-4570	339	5	are	be	AUX
easat-4570	339	6	important	important	ADJ
easat-4570	339	7	for	for	ADP
easat-4570	339	8	microscopy	microscopy	NOUN
easat-4570	339	9	image	image	NOUN
easat-4570	339	10	analysis	analysis	NOUN
easat-4570	339	11	and	and	CCONJ
easat-4570	339	12	particularly	particularly	ADV
easat-4570	339	13	cell	cell	NOUN
easat-4570	339	14	imaging	imaging	NOUN
easat-4570	339	15	.	.	PUNCT
easat-4570	340	1	fields	field	NOUN
easat-4570	340	2	including	include	VERB
easat-4570	340	3	biomaterial	biomaterial	ADJ
easat-4570	340	4	risk	risk	NOUN
easat-4570	340	5	assessment	assessment	NOUN
easat-4570	340	6	and	and	CCONJ
easat-4570	340	7	drug	drug	NOUN
easat-4570	340	8	delivery	delivery	NOUN
easat-4570	340	9	are	be	AUX
easat-4570	340	10	distinct	distinct	ADJ
easat-4570	340	11	areas	area	NOUN
easat-4570	340	12	that	that	PRON
easat-4570	340	13	require	require	VERB
easat-4570	340	14	this	this	DET
easat-4570	340	15	type	type	NOUN
easat-4570	340	16	of	of	ADP
easat-4570	340	17	analysis	analysis	NOUN
easat-4570	340	18	.	.	PUNCT
easat-4570	341	1	the	the	DET
easat-4570	341	2	ability	ability	NOUN
easat-4570	341	3	to	to	PART
easat-4570	341	4	accurately	accurately	ADV
easat-4570	341	5	classify	classify	VERB
easat-4570	341	6	cellular	cellular	ADJ
easat-4570	341	7	responses	response	NOUN
easat-4570	341	8	to	to	ADP
easat-4570	341	9	external	external	ADJ
easat-4570	341	10	stimuli	stimulus	NOUN
easat-4570	341	11	,	,	PUNCT
easat-4570	341	12	such	such	ADJ
easat-4570	341	13	as	as	ADP
easat-4570	341	14	nanoand	nanoand	NOUN
easat-4570	341	15	microstructured	microstructured	ADJ
easat-4570	341	16	surfaces	surface	NOUN
easat-4570	341	17	,	,	PUNCT
easat-4570	341	18	is	be	AUX
easat-4570	341	19	critical	critical	ADJ
easat-4570	341	20	for	for	ADP
easat-4570	341	21	evaluating	evaluate	VERB
easat-4570	341	22	cytotoxicity	cytotoxicity	NOUN
easat-4570	341	23	and	and	CCONJ
easat-4570	341	24	understanding	understand	VERB
easat-4570	341	25	the	the	DET
easat-4570	341	26	interactions	interaction	NOUN
easat-4570	341	27	between	between	ADP
easat-4570	341	28	cells	cell	NOUN
easat-4570	341	29	and	and	CCONJ
easat-4570	341	30	engineered	engineer	VERB
easat-4570	341	31	materials	material	NOUN
easat-4570	341	32	.	.	PUNCT
easat-4570	342	1	future	future	ADJ
easat-4570	342	2	work	work	NOUN
easat-4570	342	3	could	could	AUX
easat-4570	342	4	extend	extend	VERB
easat-4570	342	5	by	by	ADP
easat-4570	342	6	evaluating	evaluate	VERB
easat-4570	342	7	modification	modification	NOUN
easat-4570	342	8	in	in	ADP
easat-4570	342	9	parameters	parameter	NOUN
easat-4570	342	10	of	of	ADP
easat-4570	342	11	the	the	DET
easat-4570	342	12	architectures	architecture	NOUN
easat-4570	342	13	(	(	PUNCT
easat-4570	342	14	for	for	ADP
easat-4570	342	15	example	example	NOUN
easat-4570	342	16	pooling	pool	VERB
easat-4570	342	17	functions	function	NOUN
easat-4570	342	18	etc	etc	X
easat-4570	342	19	)	)	PUNCT
easat-4570	342	20	and	and	CCONJ
easat-4570	342	21	classifiers	classifier	NOUN
easat-4570	342	22	,	,	PUNCT
easat-4570	342	23	including	include	VERB
easat-4570	342	24	the	the	DET
easat-4570	342	25	analysis	analysis	NOUN
easat-4570	342	26	of	of	ADP
easat-4570	342	27	broader	broad	ADJ
easat-4570	342	28	set	set	NOUN
easat-4570	342	29	of	of	ADP
easat-4570	342	30	filter	filter	NOUN
easat-4570	342	31	parameters	parameter	NOUN
easat-4570	342	32	.	.	PUNCT
easat-4570	343	1	funding	funding	NOUN
easat-4570	343	2	:	:	PUNCT
easat-4570	343	3	this	this	DET
easat-4570	343	4	project	project	NOUN
easat-4570	343	5	received	receive	VERB
easat-4570	343	6	funding	funding	NOUN
easat-4570	343	7	from	from	ADP
easat-4570	343	8	the	the	DET
easat-4570	343	9	european	european	PROPN
easat-4570	343	10	union	union	PROPN
easat-4570	343	11	’s	’s	PART
easat-4570	343	12	horizon	horizon	NOUN
easat-4570	343	13	2020	2020	NUM
easat-4570	343	14	research	research	NOUN
easat-4570	343	15	and	and	CCONJ
easat-4570	343	16	innovation	innovation	NOUN
easat-4570	343	17	program	program	NOUN
easat-4570	343	18	under	under	ADP
easat-4570	343	19	grant	grant	NOUN
easat-4570	343	20	agreement	agreement	NOUN
easat-4570	343	21	no	no	INTJ
easat-4570	343	22	.	.	PROPN
easat-4570	343	23	760921	760921	NUM
easat-4570	343	24	(	(	PUNCT
easat-4570	343	25	panbiora	panbiora	PROPN
easat-4570	343	26	)	)	PUNCT
easat-4570	343	27	.	.	PUNCT
easat-4570	344	1	transparency	transparency	NOUN
easat-4570	344	2	:	:	PUNCT
easat-4570	344	3	the	the	DET
easat-4570	344	4	authors	author	NOUN
easat-4570	344	5	confirm	confirm	VERB
easat-4570	344	6	that	that	SCONJ
easat-4570	344	7	the	the	DET
easat-4570	344	8	manuscript	manuscript	NOUN
easat-4570	344	9	is	be	AUX
easat-4570	344	10	an	an	DET
easat-4570	344	11	honest	honest	ADJ
easat-4570	344	12	,	,	PUNCT
easat-4570	344	13	accurate	accurate	ADJ
easat-4570	344	14	,	,	PUNCT
easat-4570	344	15	and	and	CCONJ
easat-4570	344	16	transparent	transparent	ADJ
easat-4570	344	17	account	account	NOUN
easat-4570	344	18	of	of	ADP
easat-4570	344	19	the	the	DET
easat-4570	344	20	study	study	NOUN
easat-4570	344	21	;	;	PUNCT
easat-4570	344	22	that	that	SCONJ
easat-4570	344	23	no	no	DET
easat-4570	344	24	vital	vital	ADJ
easat-4570	344	25	features	feature	NOUN
easat-4570	344	26	of	of	ADP
easat-4570	344	27	the	the	DET
easat-4570	344	28	study	study	NOUN
easat-4570	344	29	have	have	AUX
easat-4570	344	30	been	be	AUX
easat-4570	344	31	omitted	omit	VERB
easat-4570	344	32	;	;	PUNCT
easat-4570	344	33	and	and	CCONJ
easat-4570	344	34	that	that	SCONJ
easat-4570	344	35	any	any	DET
easat-4570	344	36	discrepancies	discrepancy	NOUN
easat-4570	344	37	from	from	ADP
easat-4570	344	38	the	the	DET
easat-4570	344	39	study	study	NOUN
easat-4570	344	40	as	as	SCONJ
easat-4570	344	41	planned	plan	VERB
easat-4570	344	42	have	have	AUX
easat-4570	344	43	been	be	AUX
easat-4570	344	44	explained	explain	VERB
easat-4570	344	45	.	.	PUNCT
easat-4570	345	1	this	this	DET
easat-4570	345	2	study	study	NOUN
easat-4570	345	3	followed	follow	VERB
easat-4570	345	4	all	all	DET
easat-4570	345	5	ethical	ethical	ADJ
easat-4570	345	6	practices	practice	NOUN
easat-4570	345	7	during	during	ADP
easat-4570	345	8	writing	writing	NOUN
easat-4570	345	9	.	.	PUNCT
easat-4570	346	1	copyright	copyright	NOUN
easat-4570	346	2	:	:	PUNCT
easat-4570	346	3	©	©	PROPN
easat-4570	346	4	2025	2025	NUM
easat-4570	346	5	by	by	ADP
easat-4570	346	6	the	the	DET
easat-4570	346	7	authors	author	NOUN
easat-4570	346	8	.	.	PUNCT
easat-4570	347	1	this	this	DET
easat-4570	347	2	open	open	ADJ
easat-4570	347	3	-	-	PUNCT
easat-4570	347	4	access	access	NOUN
easat-4570	347	5	article	article	NOUN
easat-4570	347	6	is	be	AUX
easat-4570	347	7	distributed	distribute	VERB
easat-4570	347	8	under	under	ADP
easat-4570	347	9	the	the	DET
easat-4570	347	10	terms	term	NOUN
easat-4570	347	11	and	and	CCONJ
easat-4570	347	12	conditions	condition	NOUN
easat-4570	347	13	of	of	ADP
easat-4570	347	14	the	the	DET
easat-4570	347	15	creative	creative	ADJ
easat-4570	347	16	commons	common	NOUN
easat-4570	347	17	attribution	attribution	NOUN
easat-4570	347	18	(	(	PUNCT
easat-4570	347	19	cc	cc	NOUN
easat-4570	347	20	by	by	ADP
easat-4570	347	21	)	)	PUNCT
easat-4570	347	22	license	license	NOUN
easat-4570	347	23	(	(	PUNCT
easat-4570	347	24	https://creativecommons.org/licenses/by/4.0/	https://creativecommons.org/licenses/by/4.0/	PROPN
easat-4570	347	25	)	)	PUNCT
easat-4570	347	26	.	.	PUNCT
easat-4570	348	1	https://creativecommons.org/licenses/by/4.0/	https://creativecommons.org/licenses/by/4.0/	PROPN
easat-4570	348	2	704	704	NUM
easat-4570	348	3	edelweiss	edelweiss	PROPN
easat-4570	348	4	applied	apply	VERB
easat-4570	348	5	science	science	NOUN
easat-4570	348	6	and	and	CCONJ
easat-4570	348	7	technology	technology	NOUN
easat-4570	348	8	issn	issn	PROPN
easat-4570	348	9	:	:	PUNCT
easat-4570	348	10	2576	2576	NUM
easat-4570	348	11	-	-	SYM
easat-4570	348	12	8484	8484	NUM
easat-4570	348	13	vol	vol	NOUN
easat-4570	348	14	.	.	PROPN
easat-4570	349	1	9	9	NUM
easat-4570	349	2	,	,	PUNCT
easat-4570	349	3	no	no	INTJ
easat-4570	349	4	.	.	NOUN
easat-4570	349	5	2	2	NUM
easat-4570	349	6	:	:	PUNCT
easat-4570	349	7	682	682	NUM
easat-4570	349	8	-	-	SYM
easat-4570	349	9	707	707	NUM
easat-4570	349	10	,	,	PUNCT
easat-4570	349	11	2025	2025	NUM
easat-4570	349	12	doi	doi	NOUN
easat-4570	349	13	:	:	PUNCT
easat-4570	349	14	10.55214/25768484.v9i2.4570	10.55214/25768484.v9i2.4570	NUM
easat-4570	349	15	©	©	PROPN
easat-4570	349	16	2025	2025	NUM
easat-4570	349	17	by	by	ADP
easat-4570	349	18	the	the	DET
easat-4570	349	19	authors	author	NOUN
easat-4570	349	20	;	;	PUNCT
easat-4570	349	21	licensee	licensee	PROPN
easat-4570	349	22	learning	learn	VERB
easat-4570	349	23	gate	gate	NOUN
easat-4570	349	24	references	reference	NOUN
easat-4570	349	25	[	[	X
easat-4570	349	26	1	1	NUM
easat-4570	349	27	]	]	PUNCT
easat-4570	349	28	b.	b.	PROPN
easat-4570	349	29	j.	j.	PROPN
easat-4570	349	30	druker	druker	PROPN
easat-4570	349	31	et	et	PROPN
easat-4570	349	32	al	al	PROPN
easat-4570	349	33	.	.	PROPN
easat-4570	349	34	,	,	PUNCT
easat-4570	349	35	"	"	PUNCT
easat-4570	349	36	efficacy	efficacy	NOUN
easat-4570	349	37	and	and	CCONJ
easat-4570	349	38	safety	safety	NOUN
easat-4570	349	39	of	of	ADP
easat-4570	349	40	a	a	DET
easat-4570	349	41	specific	specific	ADJ
easat-4570	349	42	inhibitor	inhibitor	NOUN
easat-4570	349	43	of	of	ADP
easat-4570	349	44	the	the	DET
easat-4570	349	45	bcr	bcr	PROPN
easat-4570	349	46	-	-	PUNCT
easat-4570	349	47	abl	abl	PROPN
easat-4570	349	48	tyrosine	tyrosine	PROPN
easat-4570	349	49	kinase	kinase	PROPN
easat-4570	349	50	in	in	ADP
easat-4570	349	51	chronic	chronic	ADJ
easat-4570	349	52	myeloid	myeloid	NOUN
easat-4570	349	53	leukemia	leukemia	NOUN
easat-4570	349	54	,	,	PUNCT
easat-4570	349	55	"	"	PUNCT
easat-4570	349	56	new	new	PROPN
easat-4570	349	57	england	england	PROPN
easat-4570	349	58	journal	journal	PROPN
easat-4570	349	59	of	of	ADP
easat-4570	349	60	medicine	medicine	NOUN
easat-4570	349	61	,	,	PUNCT
easat-4570	349	62	vol	vol	NOUN
easat-4570	349	63	.	.	PROPN
easat-4570	349	64	344	344	NUM
easat-4570	349	65	,	,	PUNCT
easat-4570	349	66	no	no	INTJ
easat-4570	349	67	.	.	NOUN
easat-4570	349	68	14	14	NUM
easat-4570	349	69	,	,	PUNCT
easat-4570	349	70	pp	pp	ADJ
easat-4570	349	71	.	.	PUNCT
easat-4570	350	1	1031	1031	NUM
easat-4570	350	2	-	-	SYM
easat-4570	350	3	1037	1037	NUM
easat-4570	350	4	,	,	PUNCT
easat-4570	350	5	2001	2001	NUM
easat-4570	350	6	.	.	PUNCT
easat-4570	351	1	https://doi.org/10.1056/nejm200104053441401	https://doi.org/10.1056/nejm200104053441401	NOUN
easat-4570	352	1	[	[	X
easat-4570	352	2	2	2	NUM
easat-4570	352	3	]	]	X
easat-4570	352	4	g.	g.	PROPN
easat-4570	352	5	topalli	topalli	PROPN
easat-4570	352	6	,	,	PUNCT
easat-4570	352	7	c.	c.	PROPN
easat-4570	352	8	xie	xie	PROPN
easat-4570	352	9	,	,	PUNCT
easat-4570	352	10	y.	y.	PROPN
easat-4570	352	11	fan	fan	PROPN
easat-4570	352	12	,	,	PUNCT
easat-4570	352	13	l.	l.	PROPN
easat-4570	352	14	luan	luan	PROPN
easat-4570	352	15	,	,	PUNCT
easat-4570	352	16	r.	r.	PROPN
easat-4570	352	17	yin	yin	PROPN
easat-4570	352	18	,	,	PUNCT
easat-4570	352	19	and	and	CCONJ
easat-4570	352	20	t.	t.	PROPN
easat-4570	352	21	chi	chi	PROPN
easat-4570	352	22	,	,	PUNCT
easat-4570	352	23	"	"	PUNCT
easat-4570	352	24	a	a	DET
easat-4570	352	25	complementary	complementary	ADJ
easat-4570	352	26	pseudo	pseudo	NOUN
easat-4570	352	27	-	-	NOUN
easat-4570	352	28	resistor	resistor	NOUN
easat-4570	352	29	with	with	ADP
easat-4570	352	30	leakage	leakage	NOUN
easat-4570	352	31	current	current	ADJ
easat-4570	352	32	selfcompensation	selfcompensation	NOUN
easat-4570	352	33	for	for	ADP
easat-4570	352	34	biopotential	biopotential	NOUN
easat-4570	352	35	amplifiers	amplifier	NOUN
easat-4570	352	36	.	.	PUNCT
easat-4570	352	37	,	,	PUNCT
easat-4570	352	38	"	"	PUNCT
easat-4570	352	39	presented	present	VERB
easat-4570	352	40	at	at	ADP
easat-4570	352	41	the	the	DET
easat-4570	352	42	2023	2023	NUM
easat-4570	352	43	ieee	ieee	NOUN
easat-4570	352	44	biomedical	biomedical	ADJ
easat-4570	352	45	circuits	circuit	NOUN
easat-4570	352	46	and	and	CCONJ
easat-4570	352	47	systems	system	NOUN
easat-4570	352	48	conference	conference	NOUN
easat-4570	352	49	(	(	PUNCT
easat-4570	352	50	biocas	biocas	NOUN
easat-4570	352	51	)	)	PUNCT
easat-4570	352	52	,	,	PUNCT
easat-4570	352	53	ieee	ieee	PROPN
easat-4570	352	54	.	.	PROPN
easat-4570	352	55	,	,	PUNCT
easat-4570	352	56	2023	2023	NUM
easat-4570	352	57	.	.	PUNCT
easat-4570	353	1	[	[	X
easat-4570	353	2	3	3	X
easat-4570	353	3	]	]	PUNCT
easat-4570	353	4	m.	m.	NOUN
easat-4570	353	5	jinek	jinek	NOUN
easat-4570	353	6	,	,	PUNCT
easat-4570	353	7	k.	k.	PROPN
easat-4570	353	8	chylinski	chylinski	PROPN
easat-4570	353	9	,	,	PUNCT
easat-4570	353	10	i.	i.	PROPN
easat-4570	353	11	fonfara	fonfara	PROPN
easat-4570	353	12	,	,	PUNCT
easat-4570	353	13	m.	m.	PROPN
easat-4570	353	14	hauer	hauer	PROPN
easat-4570	353	15	,	,	PUNCT
easat-4570	353	16	j.	j.	PROPN
easat-4570	353	17	a.	a.	PROPN
easat-4570	353	18	doudna	doudna	PROPN
easat-4570	353	19	,	,	PUNCT
easat-4570	353	20	and	and	CCONJ
easat-4570	353	21	e.	e.	PROPN
easat-4570	353	22	charpentier	charpentier	PROPN
easat-4570	353	23	,	,	PUNCT
easat-4570	353	24	"	"	PUNCT
easat-4570	353	25	a	a	DET
easat-4570	353	26	programmable	programmable	ADJ
easat-4570	353	27	dual	dual	ADJ
easat-4570	353	28	-	-	PUNCT
easat-4570	353	29	rna	rna	NOUN
easat-4570	353	30	–	–	PUNCT
easat-4570	353	31	guided	guide	VERB
easat-4570	353	32	dna	dna	NOUN
easat-4570	353	33	endonuclease	endonuclease	NOUN
easat-4570	353	34	in	in	ADP
easat-4570	353	35	adaptive	adaptive	ADJ
easat-4570	353	36	bacterial	bacterial	ADJ
easat-4570	353	37	immunity	immunity	NOUN
easat-4570	353	38	,	,	PUNCT
easat-4570	353	39	"	"	PUNCT
easat-4570	353	40	science	science	NOUN
easat-4570	353	41	,	,	PUNCT
easat-4570	353	42	vol	vol	NOUN
easat-4570	353	43	.	.	PROPN
easat-4570	353	44	337	337	NUM
easat-4570	353	45	,	,	PUNCT
easat-4570	353	46	no	no	INTJ
easat-4570	353	47	.	.	NOUN
easat-4570	353	48	6096	6096	NUM
easat-4570	353	49	,	,	PUNCT
easat-4570	353	50	pp	pp	PROPN
easat-4570	353	51	.	.	PUNCT
easat-4570	353	52	816	816	NUM
easat-4570	353	53	-	-	SYM
easat-4570	353	54	821	821	NUM
easat-4570	353	55	,	,	PUNCT
easat-4570	353	56	2012	2012	NUM
easat-4570	353	57	.	.	PUNCT
easat-4570	354	1	https://doi.org/10.1126/science.1225829	https://doi.org/10.1126/science.1225829	PROPN
easat-4570	355	1	[	[	X
easat-4570	355	2	4	4	NUM
easat-4570	355	3	]	]	X
easat-4570	355	4	n.	n.	PROPN
easat-4570	355	5	e.	e.	PROPN
easat-4570	355	6	vrana	vrana	PROPN
easat-4570	355	7	,	,	PUNCT
easat-4570	355	8	introduction	introduction	NOUN
easat-4570	355	9	to	to	ADP
easat-4570	355	10	biomaterials	biomaterial	NOUN
easat-4570	355	11	for	for	ADP
easat-4570	355	12	tissue	tissue	NOUN
easat-4570	355	13	/	/	SYM
easat-4570	355	14	organ	organ	NOUN
easat-4570	355	15	regeneration	regeneration	NOUN
easat-4570	355	16	.	.	PUNCT
easat-4570	356	1	in	in	ADP
easat-4570	356	2	biomaterials	biomaterial	NOUN
easat-4570	356	3	for	for	ADP
easat-4570	356	4	organ	organ	NOUN
easat-4570	356	5	and	and	CCONJ
easat-4570	356	6	tissue	tissue	NOUN
easat-4570	356	7	regeneration	regeneration	NOUN
easat-4570	356	8	.	.	PUNCT
easat-4570	357	1	woodhead	woodhead	NOUN
easat-4570	357	2	publishing	publishing	NOUN
easat-4570	357	3	.	.	PUNCT
easat-4570	358	1	https://doi.org/10.1016/b978-0-08-102906-0.00001-2	https://doi.org/10.1016/b978-0-08-102906-0.00001-2	NOUN
easat-4570	358	2	,	,	PUNCT
easat-4570	358	3	2020	2020	NUM
easat-4570	358	4	.	.	PUNCT
easat-4570	359	1	[	[	X
easat-4570	359	2	5	5	NUM
easat-4570	359	3	]	]	PUNCT
easat-4570	359	4	a.	a.	NOUN
easat-4570	359	5	n.	n.	PROPN
easat-4570	359	6	halili	halili	PROPN
easat-4570	359	7	,	,	PUNCT
easat-4570	359	8	n.	n.	PROPN
easat-4570	359	9	hasirci	hasirci	PROPN
easat-4570	359	10	,	,	PUNCT
easat-4570	359	11	and	and	CCONJ
easat-4570	359	12	v.	v.	ADP
easat-4570	359	13	hasirci	hasirci	NOUN
easat-4570	359	14	,	,	PUNCT
easat-4570	359	15	"	"	PUNCT
easat-4570	359	16	a	a	DET
easat-4570	359	17	multilayer	multilayer	ADJ
easat-4570	359	18	tissue	tissue	NOUN
easat-4570	359	19	engineered	engineer	VERB
easat-4570	359	20	meniscus	meniscus	NOUN
easat-4570	359	21	substitute	substitute	NOUN
easat-4570	359	22	,	,	PUNCT
easat-4570	359	23	"	"	PUNCT
easat-4570	359	24	journal	journal	NOUN
easat-4570	359	25	of	of	ADP
easat-4570	359	26	materials	material	NOUN
easat-4570	359	27	science	science	NOUN
easat-4570	359	28	:	:	PUNCT
easat-4570	359	29	materials	material	NOUN
easat-4570	359	30	in	in	ADP
easat-4570	359	31	medicine	medicine	NOUN
easat-4570	359	32	,	,	PUNCT
easat-4570	359	33	vol	vol	NOUN
easat-4570	359	34	.	.	PROPN
easat-4570	359	35	25	25	NUM
easat-4570	359	36	,	,	PUNCT
easat-4570	359	37	pp	pp	ADJ
easat-4570	359	38	.	.	PUNCT
easat-4570	359	39	1195	1195	NUM
easat-4570	359	40	-	-	SYM
easat-4570	359	41	1209	1209	NUM
easat-4570	359	42	,	,	PUNCT
easat-4570	359	43	2014	2014	NUM
easat-4570	359	44	.	.	PUNCT
easat-4570	359	45	https://doi.org/10.1007/s10856-014-5164-5	https://doi.org/10.1007/s10856-014-5164-5	X
easat-4570	360	1	[	[	X
easat-4570	360	2	6	6	NUM
easat-4570	360	3	]	]	PUNCT
easat-4570	360	4	p.	p.	NOUN
easat-4570	360	5	sharma	sharma	PROPN
easat-4570	360	6	and	and	CCONJ
easat-4570	360	7	j.	j.	PROPN
easat-4570	360	8	p.	p.	PROPN
easat-4570	360	9	allison	allison	PROPN
easat-4570	360	10	,	,	PUNCT
easat-4570	360	11	"	"	PUNCT
easat-4570	360	12	the	the	DET
easat-4570	360	13	future	future	NOUN
easat-4570	360	14	of	of	ADP
easat-4570	360	15	immune	immune	ADJ
easat-4570	360	16	checkpoint	checkpoint	NOUN
easat-4570	360	17	therapy	therapy	NOUN
easat-4570	360	18	,	,	PUNCT
easat-4570	360	19	"	"	PUNCT
easat-4570	360	20	science	science	NOUN
easat-4570	360	21	,	,	PUNCT
easat-4570	360	22	vol	vol	NOUN
easat-4570	360	23	.	.	PROPN
easat-4570	361	1	348	348	NUM
easat-4570	361	2	,	,	PUNCT
easat-4570	361	3	no	no	INTJ
easat-4570	361	4	.	.	NOUN
easat-4570	361	5	6230	6230	NUM
easat-4570	361	6	,	,	PUNCT
easat-4570	361	7	pp	pp	ADJ
easat-4570	361	8	.	.	PUNCT
easat-4570	362	1	56	56	NUM
easat-4570	362	2	-	-	SYM
easat-4570	362	3	61	61	NUM
easat-4570	362	4	,	,	PUNCT
easat-4570	362	5	2015	2015	NUM
easat-4570	362	6	.	.	PUNCT
easat-4570	363	1	https://doi.org/10.1126/science.aaa8172	https://doi.org/10.1126/science.aaa8172	PRON
easat-4570	363	2	[	[	PUNCT
easat-4570	363	3	7	7	X
easat-4570	363	4	]	]	X
easat-4570	363	5	p.	p.	NOUN
easat-4570	363	6	baldi	baldi	PROPN
easat-4570	363	7	,	,	PUNCT
easat-4570	363	8	"	"	PUNCT
easat-4570	363	9	deep	deep	ADJ
easat-4570	363	10	learning	learning	NOUN
easat-4570	363	11	in	in	ADP
easat-4570	363	12	biomedical	biomedical	ADJ
easat-4570	363	13	data	datum	NOUN
easat-4570	363	14	science	science	NOUN
easat-4570	363	15	,	,	PUNCT
easat-4570	363	16	"	"	PUNCT
easat-4570	363	17	annual	annual	ADJ
easat-4570	363	18	review	review	NOUN
easat-4570	363	19	of	of	ADP
easat-4570	363	20	biomedical	biomedical	ADJ
easat-4570	363	21	data	datum	NOUN
easat-4570	363	22	science	science	NOUN
easat-4570	363	23	,	,	PUNCT
easat-4570	363	24	vol	vol	NOUN
easat-4570	363	25	.	.	PROPN
easat-4570	363	26	1	1	NUM
easat-4570	363	27	,	,	PUNCT
easat-4570	363	28	no	no	INTJ
easat-4570	363	29	.	.	NOUN
easat-4570	363	30	1	1	NUM
easat-4570	363	31	,	,	PUNCT
easat-4570	363	32	pp	pp	ADJ
easat-4570	363	33	.	.	PUNCT
easat-4570	363	34	181205	181205	NUM
easat-4570	363	35	,	,	PUNCT
easat-4570	363	36	2018	2018	NUM
easat-4570	363	37	.	.	PUNCT
easat-4570	364	1	https://doi.org/10.1146/annurev-biodatasci-080917-013343	https://doi.org/10.1146/annurev-biodatasci-080917-013343	PROPN
easat-4570	365	1	[	[	X
easat-4570	365	2	8	8	NUM
easat-4570	365	3	]	]	PUNCT
easat-4570	365	4	x.	x.	NOUN
easat-4570	365	5	polisi	polisi	PROPN
easat-4570	365	6	,	,	PUNCT
easat-4570	365	7	a.	a.	PROPN
easat-4570	365	8	halili	halili	PROPN
easat-4570	365	9	,	,	PUNCT
easat-4570	365	10	c.	c.	PROPN
easat-4570	365	11	e.	e.	PROPN
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easat-4570	365	13	,	,	PUNCT
easat-4570	365	14	a.	a.	PROPN
easat-4570	365	15	uka	uka	PROPN
easat-4570	365	16	,	,	PUNCT
easat-4570	365	17	n.	n.	PROPN
easat-4570	365	18	e.	e.	PROPN
easat-4570	365	19	vrana	vrana	PROPN
easat-4570	365	20	,	,	PUNCT
easat-4570	365	21	and	and	CCONJ
easat-4570	365	22	a.	a.	NOUN
easat-4570	365	23	ghaemmaghami	ghaemmaghami	NOUN
easat-4570	365	24	,	,	PUNCT
easat-4570	365	25	computer	computer	NOUN
easat-4570	365	26	assisted	assist	VERB
easat-4570	365	27	analysis	analysis	NOUN
easat-4570	365	28	of	of	ADP
easat-4570	365	29	the	the	DET
easat-4570	365	30	hepatic	hepatic	ADJ
easat-4570	365	31	spheroid	spheroid	NOUN
easat-4570	365	32	formation	formation	NOUN
easat-4570	365	33	.	.	PUNCT
easat-4570	366	1	in	in	ADP
easat-4570	366	2	computational	computational	ADJ
easat-4570	366	3	bioengineering	bioengineering	NOUN
easat-4570	366	4	and	and	CCONJ
easat-4570	366	5	bioinformatics	bioinformatics	NOUN
easat-4570	366	6	:	:	PUNCT
easat-4570	366	7	computer	computer	NOUN
easat-4570	366	8	modelling	modelling	NOUN
easat-4570	366	9	in	in	ADP
easat-4570	366	10	bioengineering	bioengineering	NOUN
easat-4570	366	11	.	.	PUNCT
easat-4570	367	1	springer	springer	NOUN
easat-4570	367	2	international	international	ADJ
easat-4570	367	3	publishing	publishing	NOUN
easat-4570	367	4	.	.	PUNCT
easat-4570	368	1	https://doi.org/10.1007/978-3-030-40115-5_10	https://doi.org/10.1007/978-3-030-40115-5_10	NOUN
easat-4570	368	2	,	,	PUNCT
easat-4570	368	3	2020	2020	NUM
easat-4570	368	4	.	.	PUNCT
easat-4570	369	1	[	[	X
easat-4570	369	2	9	9	NUM
easat-4570	369	3	]	]	PUNCT
easat-4570	369	4	s.	s.	PROPN
easat-4570	369	5	wu	wu	PROPN
easat-4570	369	6	,	,	PUNCT
easat-4570	369	7	x.	x.	PROPN
easat-4570	369	8	liu	liu	PROPN
easat-4570	369	9	,	,	PUNCT
easat-4570	369	10	k.	k.	PROPN
easat-4570	369	11	w.	w.	PROPN
easat-4570	369	12	yeung	yeung	PROPN
easat-4570	369	13	,	,	PUNCT
easat-4570	369	14	c.	c.	PROPN
easat-4570	369	15	liu	liu	PROPN
easat-4570	369	16	,	,	PUNCT
easat-4570	369	17	and	and	CCONJ
easat-4570	369	18	x.	x.	PROPN
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easat-4570	369	20	,	,	PUNCT
easat-4570	369	21	"	"	PUNCT
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easat-4570	369	25	for	for	ADP
easat-4570	369	26	bone	bone	NOUN
easat-4570	369	27	tissue	tissue	NOUN
easat-4570	369	28	engineering	engineering	NOUN
easat-4570	369	29	,	,	PUNCT
easat-4570	369	30	"	"	PUNCT
easat-4570	369	31	materials	material	NOUN
easat-4570	369	32	science	science	NOUN
easat-4570	369	33	and	and	CCONJ
easat-4570	369	34	engineering	engineering	NOUN
easat-4570	369	35	:	:	PUNCT
easat-4570	369	36	r	r	NOUN
easat-4570	369	37	:	:	PUNCT
easat-4570	369	38	reports	report	NOUN
easat-4570	369	39	,	,	PUNCT
easat-4570	369	40	vol	vol	NOUN
easat-4570	369	41	.	.	PROPN
easat-4570	369	42	80	80	NUM
easat-4570	369	43	,	,	PUNCT
easat-4570	369	44	pp	pp	ADJ
easat-4570	369	45	.	.	PUNCT
easat-4570	370	1	1	1	NUM
easat-4570	370	2	-	-	SYM
easat-4570	370	3	36	36	NUM
easat-4570	370	4	,	,	PUNCT
easat-4570	370	5	2014	2014	NUM
easat-4570	370	6	.	.	PUNCT
easat-4570	371	1	https://doi.org/10.1016/j.mser.2014.04.001	https://doi.org/10.1016/j.mser.2014.04.001	NOUN
easat-4570	372	1	[	[	X
easat-4570	372	2	10	10	NUM
easat-4570	372	3	]	]	X
easat-4570	372	4	q.	q.	PROPN
easat-4570	372	5	l.	l.	PROPN
easat-4570	372	6	loh	loh	PROPN
easat-4570	372	7	and	and	CCONJ
easat-4570	372	8	c.	c.	PROPN
easat-4570	372	9	choong	choong	PROPN
easat-4570	372	10	,	,	PUNCT
easat-4570	372	11	"	"	PUNCT
easat-4570	372	12	three	three	NUM
easat-4570	372	13	-	-	PUNCT
easat-4570	372	14	dimensional	dimensional	ADJ
easat-4570	372	15	scaffolds	scaffold	NOUN
easat-4570	372	16	for	for	ADP
easat-4570	372	17	tissue	tissue	NOUN
easat-4570	372	18	engineering	engineering	NOUN
easat-4570	372	19	applications	application	NOUN
easat-4570	372	20	:	:	PUNCT
easat-4570	372	21	role	role	NOUN
easat-4570	372	22	of	of	ADP
easat-4570	372	23	porosity	porosity	NOUN
easat-4570	372	24	and	and	CCONJ
easat-4570	372	25	pore	pore	ADJ
easat-4570	372	26	size	size	NOUN
easat-4570	372	27	,	,	PUNCT
easat-4570	372	28	"	"	PUNCT
easat-4570	372	29	tissue	tissue	NOUN
easat-4570	372	30	engineering	engineering	NOUN
easat-4570	372	31	part	part	NOUN
easat-4570	372	32	b	b	NOUN
easat-4570	372	33	:	:	PUNCT
easat-4570	372	34	reviews	review	NOUN
easat-4570	372	35	,	,	PUNCT
easat-4570	372	36	vol	vol	NOUN
easat-4570	372	37	.	.	PROPN
easat-4570	372	38	19	19	NUM
easat-4570	372	39	,	,	PUNCT
easat-4570	372	40	no	no	INTJ
easat-4570	372	41	.	.	NOUN
easat-4570	372	42	6	6	NUM
easat-4570	372	43	,	,	PUNCT
easat-4570	372	44	pp	pp	ADJ
easat-4570	372	45	.	.	PUNCT
easat-4570	373	1	485–502	485–502	NUM
easat-4570	373	2	,	,	PUNCT
easat-4570	373	3	2013	2013	NUM
easat-4570	373	4	.	.	PUNCT
easat-4570	374	1	https://doi.org/10.1089/ten.teb.2012.0437	https://doi.org/10.1089/ten.teb.2012.0437	PROPN
easat-4570	375	1	[	[	X
easat-4570	375	2	11	11	NUM
easat-4570	375	3	]	]	PUNCT
easat-4570	375	4	s.	s.	PROPN
easat-4570	375	5	a.	a.	PROPN
easat-4570	375	6	sell	sell	PROPN
easat-4570	375	7	,	,	PUNCT
easat-4570	375	8	p.	p.	PROPN
easat-4570	375	9	s.	s.	PROPN
easat-4570	375	10	wolfe	wolfe	PROPN
easat-4570	375	11	,	,	PUNCT
easat-4570	375	12	k.	k.	PROPN
easat-4570	375	13	garg	garg	PROPN
easat-4570	375	14	,	,	PUNCT
easat-4570	375	15	j.	j.	PROPN
easat-4570	375	16	m.	m.	PROPN
easat-4570	375	17	mccool	mccool	PROPN
easat-4570	375	18	,	,	PUNCT
easat-4570	375	19	i.	i.	PROPN
easat-4570	375	20	a.	a.	PROPN
easat-4570	375	21	rodriguez	rodriguez	PROPN
easat-4570	375	22	,	,	PUNCT
easat-4570	375	23	and	and	CCONJ
easat-4570	375	24	g.	g.	PROPN
easat-4570	375	25	l.	l.	PROPN
easat-4570	375	26	bowlin	bowlin	PROPN
easat-4570	375	27	,	,	PUNCT
easat-4570	375	28	"	"	PUNCT
easat-4570	375	29	the	the	DET
easat-4570	375	30	use	use	NOUN
easat-4570	375	31	of	of	ADP
easat-4570	375	32	natural	natural	ADJ
easat-4570	375	33	polymers	polymer	NOUN
easat-4570	375	34	in	in	ADP
easat-4570	375	35	tissue	tissue	NOUN
easat-4570	375	36	engineering	engineering	NOUN
easat-4570	375	37	:	:	PUNCT
easat-4570	375	38	a	a	DET
easat-4570	375	39	focus	focus	NOUN
easat-4570	375	40	on	on	ADP
easat-4570	375	41	electrospun	electrospun	NOUN
easat-4570	375	42	extracellular	extracellular	ADJ
easat-4570	375	43	matrix	matrix	NOUN
easat-4570	375	44	analogues	analogue	NOUN
easat-4570	375	45	,	,	PUNCT
easat-4570	375	46	"	"	PUNCT
easat-4570	375	47	polymers	polymer	NOUN
easat-4570	375	48	,	,	PUNCT
easat-4570	375	49	vol	vol	NOUN
easat-4570	375	50	.	.	PROPN
easat-4570	375	51	2	2	NUM
easat-4570	375	52	,	,	PUNCT
easat-4570	375	53	no	no	INTJ
easat-4570	375	54	.	.	NOUN
easat-4570	375	55	4	4	NUM
easat-4570	375	56	,	,	PUNCT
easat-4570	375	57	pp	pp	ADJ
easat-4570	375	58	.	.	PUNCT
easat-4570	376	1	522	522	NUM
easat-4570	376	2	-	-	SYM
easat-4570	376	3	553	553	NUM
easat-4570	376	4	,	,	PUNCT
easat-4570	376	5	2010	2010	NUM
easat-4570	376	6	.	.	PUNCT
easat-4570	377	1	https://doi.org/10.3390/polym2040522	https://doi.org/10.3390/polym2040522	PROPN
easat-4570	378	1	[	[	X
easat-4570	378	2	12	12	NUM
easat-4570	378	3	]	]	PUNCT
easat-4570	378	4	a.	a.	PROPN
easat-4570	378	5	n.	n.	PROPN
easat-4570	378	6	halili	halili	PROPN
easat-4570	378	7	,	,	PUNCT
easat-4570	378	8	v.	v.	ADP
easat-4570	378	9	bashari	bashari	X
easat-4570	378	10	,	,	PUNCT
easat-4570	378	11	i.	i.	PROPN
easat-4570	378	12	kazani	kazani	PROPN
easat-4570	378	13	,	,	PUNCT
easat-4570	378	14	a.	a.	PROPN
easat-4570	378	15	uka	uka	PROPN
easat-4570	378	16	,	,	PUNCT
easat-4570	378	17	g.	g.	PROPN
easat-4570	378	18	alushllari	alushllari	PROPN
easat-4570	378	19	,	,	PUNCT
easat-4570	378	20	and	and	CCONJ
easat-4570	378	21	f.	f.	PROPN
easat-4570	378	22	skuka	skuka	PROPN
easat-4570	378	23	,	,	PUNCT
easat-4570	378	24	"	"	PUNCT
easat-4570	378	25	evaluating	evaluate	VERB
easat-4570	378	26	deep	deep	ADJ
easat-4570	378	27	learning	learning	NOUN
easat-4570	378	28	for	for	ADP
easat-4570	378	29	segmenting	segment	VERB
easat-4570	378	30	nanobeads	nanobead	NOUN
easat-4570	378	31	on	on	ADP
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easat-4570	378	33	in	in	ADP
easat-4570	378	34	electron	electron	NOUN
easat-4570	378	35	microscopy	microscopy	NOUN
easat-4570	378	36	images	image	NOUN
easat-4570	378	37	,	,	PUNCT
easat-4570	378	38	"	"	PUNCT
easat-4570	378	39	presented	present	VERB
easat-4570	378	40	at	at	ADP
easat-4570	378	41	the	the	DET
easat-4570	378	42	nanobalkan	nanobalkan	PROPN
easat-4570	378	43	conference	conference	NOUN
easat-4570	378	44	2024	2024	NUM
easat-4570	378	45	,	,	PUNCT
easat-4570	378	46	tirana	tirana	PROPN
easat-4570	378	47	,	,	PUNCT
easat-4570	378	48	albania	albania	PROPN
easat-4570	378	49	,	,	PUNCT
easat-4570	378	50	2024	2024	NUM
easat-4570	378	51	.	.	PUNCT
easat-4570	379	1	[	[	X
easat-4570	379	2	13	13	NUM
easat-4570	379	3	]	]	X
easat-4570	379	4	n.	n.	PROPN
easat-4570	379	5	e.	e.	PROPN
easat-4570	379	6	vrana	vrana	PROPN
easat-4570	379	7	,	,	PUNCT
easat-4570	379	8	k.	k.	PROPN
easat-4570	379	9	palm	palm	PROPN
easat-4570	379	10	,	,	PUNCT
easat-4570	379	11	and	and	CCONJ
easat-4570	379	12	p.	p.	PROPN
easat-4570	379	13	lavalle	lavalle	PROPN
easat-4570	379	14	,	,	PUNCT
easat-4570	379	15	"	"	PUNCT
easat-4570	379	16	personalization	personalization	NOUN
easat-4570	379	17	of	of	ADP
easat-4570	379	18	medical	medical	ADJ
easat-4570	379	19	device	device	NOUN
easat-4570	379	20	interfaces	interface	NOUN
easat-4570	379	21	:	:	PUNCT
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easat-4570	379	23	implant	implant	ADJ
easat-4570	379	24	-	-	PUNCT
easat-4570	379	25	related	relate	VERB
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easat-4570	379	28	modular	modular	ADJ
easat-4570	379	29	coatings	coating	NOUN
easat-4570	379	30	and	and	CCONJ
easat-4570	379	31	immunoprofiling	immunoprofiling	NOUN
easat-4570	379	32	,	,	PUNCT
easat-4570	379	33	"	"	PUNCT
easat-4570	379	34	future	future	ADJ
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easat-4570	379	36	oa	oa	INTJ
easat-4570	379	37	,	,	PUNCT
easat-4570	379	38	vol	vol	NOUN
easat-4570	379	39	.	.	PROPN
easat-4570	379	40	6	6	NUM
easat-4570	379	41	,	,	PUNCT
easat-4570	379	42	no	no	INTJ
easat-4570	379	43	.	.	NOUN
easat-4570	379	44	8	8	NUM
easat-4570	379	45	,	,	PUNCT
easat-4570	379	46	p.	p.	NOUN
easat-4570	379	47	fso607	fso607	PROPN
easat-4570	379	48	,	,	PUNCT
easat-4570	379	49	2020	2020	NUM
easat-4570	379	50	.	.	PUNCT
easat-4570	380	1	https://doi.org/10.2144/fsoa-2020-0070	https://doi.org/10.2144/fsoa-2020-0070	NOUN
easat-4570	381	1	[	[	X
easat-4570	381	2	14	14	NUM
easat-4570	381	3	]	]	X
easat-4570	381	4	h.	h.	PROPN
easat-4570	381	5	knopf	knopf	PROPN
easat-4570	381	6	-	-	PUNCT
easat-4570	381	7	marques	marques	PROPN
easat-4570	381	8	et	et	PROPN
easat-4570	381	9	al	al	PROPN
easat-4570	381	10	.	.	PROPN
easat-4570	381	11	,	,	PUNCT
easat-4570	381	12	"	"	PUNCT
easat-4570	381	13	multifunctional	multifunctional	ADJ
easat-4570	381	14	polymeric	polymeric	ADJ
easat-4570	381	15	implant	implant	ADJ
easat-4570	381	16	coatings	coating	NOUN
easat-4570	381	17	based	base	VERB
easat-4570	381	18	on	on	ADP
easat-4570	381	19	gelatin	gelatin	NOUN
easat-4570	381	20	,	,	PUNCT
easat-4570	381	21	hyaluronic	hyaluronic	ADJ
easat-4570	381	22	acid	acid	NOUN
easat-4570	381	23	derivative	derivative	NOUN
easat-4570	381	24	and	and	CCONJ
easat-4570	381	25	chain	chain	NOUN
easat-4570	381	26	length	length	NOUN
easat-4570	381	27	-	-	PUNCT
easat-4570	381	28	controlled	control	VERB
easat-4570	381	29	poly	poly	ADJ
easat-4570	381	30	(	(	PUNCT
easat-4570	381	31	arginine	arginine	NOUN
easat-4570	381	32	)	)	PUNCT
easat-4570	381	33	,	,	PUNCT
easat-4570	381	34	"	"	PUNCT
easat-4570	381	35	materials	material	NOUN
easat-4570	381	36	science	science	NOUN
easat-4570	381	37	and	and	CCONJ
easat-4570	381	38	engineering	engineering	NOUN
easat-4570	381	39	:	:	PUNCT
easat-4570	381	40	c	c	X
easat-4570	381	41	,	,	PUNCT
easat-4570	381	42	vol	vol	NOUN
easat-4570	381	43	.	.	PROPN
easat-4570	381	44	104	104	NUM
easat-4570	381	45	,	,	PUNCT
easat-4570	381	46	p.	p.	NOUN
easat-4570	381	47	109898	109898	NUM
easat-4570	381	48	,	,	PUNCT
easat-4570	381	49	2019	2019	NUM
easat-4570	381	50	.	.	PUNCT
easat-4570	382	1	https://doi.org/10.1016/j.msec.2019.109898	https://doi.org/10.1016/j.msec.2019.109898	PROPN
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easat-4570	382	3	15	15	NUM
easat-4570	382	4	]	]	X
easat-4570	382	5	x.	x.	NOUN
easat-4570	382	6	polisi	polisi	PROPN
easat-4570	382	7	,	,	PUNCT
easat-4570	382	8	e.	e.	PROPN
easat-4570	382	9	dollani	dollani	PROPN
easat-4570	382	10	,	,	PUNCT
easat-4570	382	11	and	and	CCONJ
easat-4570	382	12	a.	a.	PROPN
easat-4570	382	13	uka	uka	PROPN
easat-4570	382	14	,	,	PUNCT
easat-4570	382	15	"	"	PUNCT
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easat-4570	382	17	of	of	ADP
easat-4570	382	18	cell	cell	NOUN
easat-4570	382	19	biomaterial	biomaterial	ADJ
easat-4570	382	20	interaction	interaction	NOUN
easat-4570	382	21	toxicity	toxicity	NOUN
easat-4570	382	22	level	level	NOUN
easat-4570	382	23	using	use	VERB
easat-4570	382	24	convolutional	convolutional	ADJ
easat-4570	382	25	neural	neural	ADJ
easat-4570	382	26	networks	network	NOUN
easat-4570	382	27	,	,	PUNCT
easat-4570	382	28	"	"	PUNCT
easat-4570	382	29	presented	present	VERB
easat-4570	382	30	at	at	ADP
easat-4570	382	31	the	the	DET
easat-4570	382	32	ninth	ninth	ADJ
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easat-4570	382	34	conference	conference	NOUN
easat-4570	382	35	on	on	ADP
easat-4570	382	36	computational	computational	ADJ
easat-4570	382	37	bioengineering	bioengineering	NOUN
easat-4570	382	38	(	(	PUNCT
easat-4570	382	39	iccb	iccb	NOUN
easat-4570	382	40	2022	2022	NUM
easat-4570	382	41	)	)	PUNCT
easat-4570	382	42	,	,	PUNCT
easat-4570	382	43	lisbon	lisbon	PROPN
easat-4570	382	44	,	,	PUNCT
easat-4570	382	45	portugal	portugal	PROPN
easat-4570	382	46	,	,	PUNCT
easat-4570	382	47	2022	2022	NUM
easat-4570	382	48	.	.	PUNCT
easat-4570	383	1	[	[	X
easat-4570	383	2	16	16	NUM
easat-4570	383	3	]	]	PUNCT
easat-4570	383	4	a.	a.	NOUN
easat-4570	383	5	chmayssem	chmayssem	PROPN
easat-4570	383	6	et	et	PROPN
easat-4570	383	7	al	al	PROPN
easat-4570	383	8	.	.	PROPN
easat-4570	383	9	,	,	PUNCT
easat-4570	383	10	"	"	PUNCT
easat-4570	383	11	integrated	integrate	VERB
easat-4570	383	12	on	on	ADP
easat-4570	383	13	chip	chip	NOUN
easat-4570	383	14	cytotoxicity	cytotoxicity	NOUN
easat-4570	383	15	test	test	NOUN
easat-4570	383	16	with	with	ADP
easat-4570	383	17	real	real	ADJ
easat-4570	383	18	-	-	PUNCT
easat-4570	383	19	time	time	NOUN
easat-4570	383	20	image	image	NOUN
easat-4570	383	21	analysis	analysis	NOUN
easat-4570	383	22	and	and	CCONJ
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easat-4570	383	24	sensorsbased	sensorsbase	VERB
easat-4570	383	25	monitoring	monitoring	NOUN
easat-4570	383	26	,	,	PUNCT
easat-4570	383	27	"	"	PUNCT
easat-4570	383	28	organ	organ	NOUN
easat-4570	383	29	-	-	PUNCT
easat-4570	383	30	on	on	ADP
easat-4570	383	31	-	-	PUNCT
easat-4570	383	32	chip	chip	NOUN
easat-4570	383	33	(	(	PUNCT
easat-4570	383	34	euroocs	euroocs	PROPN
easat-4570	383	35	2021	2021	NUM
easat-4570	383	36	)	)	PUNCT
easat-4570	383	37	,	,	PUNCT
easat-4570	383	38	vol	vol	NOUN
easat-4570	383	39	.	.	PROPN
easat-4570	383	40	1	1	NUM
easat-4570	383	41	,	,	PUNCT
easat-4570	383	42	no	no	INTJ
easat-4570	383	43	.	.	NOUN
easat-4570	383	44	1	1	NUM
easat-4570	383	45	,	,	PUNCT
easat-4570	383	46	2021	2021	NUM
easat-4570	383	47	.	.	PUNCT
easat-4570	384	1	[	[	X
easat-4570	384	2	17	17	NUM
easat-4570	384	3	]	]	PUNCT
easat-4570	384	4	a.	a.	NOUN
easat-4570	384	5	chmayssem	chmayssem	PROPN
easat-4570	384	6	et	et	PROPN
easat-4570	384	7	al	al	PROPN
easat-4570	384	8	.	.	PROPN
easat-4570	384	9	,	,	PUNCT
easat-4570	384	10	"	"	PUNCT
easat-4570	384	11	new	new	ADJ
easat-4570	384	12	microfluidic	microfluidic	ADJ
easat-4570	384	13	system	system	NOUN
easat-4570	384	14	for	for	ADP
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easat-4570	384	16	impedance	impedance	NOUN
easat-4570	384	17	spectroscopy	spectroscopy	NOUN
easat-4570	384	18	assessment	assessment	NOUN
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easat-4570	384	20	cell	cell	NOUN
easat-4570	384	21	culture	culture	NOUN
easat-4570	384	22	performance	performance	NOUN
easat-4570	384	23	:	:	PUNCT
easat-4570	384	24	design	design	NOUN
easat-4570	384	25	and	and	CCONJ
easat-4570	384	26	development	development	NOUN
easat-4570	384	27	of	of	ADP
easat-4570	384	28	new	new	ADJ
easat-4570	384	29	electrode	electrode	NOUN
easat-4570	384	30	material	material	NOUN
easat-4570	384	31	,	,	PUNCT
easat-4570	384	32	"	"	PUNCT
easat-4570	384	33	biosensors	biosensor	NOUN
easat-4570	384	34	,	,	PUNCT
easat-4570	384	35	vol	vol	NOUN
easat-4570	384	36	.	.	PROPN
easat-4570	384	37	12	12	NUM
easat-4570	384	38	,	,	PUNCT
easat-4570	384	39	no	no	INTJ
easat-4570	384	40	.	.	NOUN
easat-4570	384	41	7	7	NUM
easat-4570	384	42	,	,	PUNCT
easat-4570	384	43	p.	p.	NOUN
easat-4570	384	44	452	452	NUM
easat-4570	384	45	,	,	PUNCT
easat-4570	384	46	2022	2022	NUM
easat-4570	384	47	.	.	PUNCT
easat-4570	385	1	https://doi.org/10.3390/bios12070452	https://doi.org/10.3390/bios12070452	NOUN
easat-4570	385	2	[	[	X
easat-4570	385	3	18	18	NUM
easat-4570	385	4	]	]	PUNCT
easat-4570	385	5	a.	a.	NOUN
easat-4570	385	6	uka	uka	PROPN
easat-4570	385	7	,	,	PUNCT
easat-4570	385	8	a.	a.	PROPN
easat-4570	385	9	ndreu	ndreu	PROPN
easat-4570	385	10	halili	halili	PROPN
easat-4570	385	11	,	,	PUNCT
easat-4570	385	12	x.	x.	PROPN
easat-4570	385	13	polisi	polisi	PROPN
easat-4570	385	14	,	,	PUNCT
easat-4570	385	15	a.	a.	NOUN
easat-4570	385	16	o.	o.	PROPN
easat-4570	385	17	topal	topal	PROPN
easat-4570	385	18	,	,	PUNCT
easat-4570	385	19	g.	g.	PROPN
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easat-4570	385	21	,	,	PUNCT
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easat-4570	385	36	interaction	interaction	NOUN
easat-4570	385	37	using	use	VERB
easat-4570	385	38	brightfield	brightfield	NOUN
easat-4570	385	39	microscopy	microscopy	NOUN
easat-4570	385	40	,	,	PUNCT
easat-4570	385	41	"	"	PUNCT
easat-4570	385	42	cells	cell	NOUN
easat-4570	385	43	tissues	tissue	NOUN
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easat-4570	385	49	,	,	PUNCT
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easat-4570	385	51	.	.	NOUN
easat-4570	385	52	2	2	NUM
easat-4570	385	53	,	,	PUNCT
easat-4570	385	54	pp	pp	ADJ
easat-4570	385	55	.	.	PUNCT
easat-4570	386	1	77–104	77–104	NOUN
easat-4570	386	2	,	,	PUNCT
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easat-4570	386	4	.	.	PUNCT
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easat-4570	387	3	]	]	X
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easat-4570	387	6	,	,	PUNCT
easat-4570	387	7	x.	x.	PROPN
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easat-4570	387	9	,	,	PUNCT
easat-4570	387	10	s.	s.	PROPN
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easat-4570	387	16	y.	y.	PROPN
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easat-4570	387	18	,	,	PUNCT
easat-4570	387	19	and	and	CCONJ
easat-4570	387	20	h.	h.	PROPN
easat-4570	387	21	p.	p.	PROPN
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easat-4570	387	25	spatial	spatial	ADJ
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easat-4570	387	30	coherent	coherent	ADJ
easat-4570	387	31	diffractive	diffractive	ADJ
easat-4570	387	32	imaging	imaging	NOUN
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easat-4570	387	34	self	self	NOUN
easat-4570	387	35	-	-	PUNCT
easat-4570	387	36	referencing	reference	VERB
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easat-4570	387	38	,	,	PUNCT
easat-4570	387	39	"	"	PUNCT
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easat-4570	387	42	,	,	PUNCT
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easat-4570	387	46	,	,	PUNCT
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easat-4570	387	49	4	4	NUM
easat-4570	387	50	,	,	PUNCT
easat-4570	387	51	pp	pp	ADJ
easat-4570	387	52	.	.	PUNCT
easat-4570	387	53	4479	4479	NUM
easat-4570	387	54	-	-	SYM
easat-4570	387	55	4490	4490	NUM
easat-4570	387	56	,	,	PUNCT
easat-4570	387	57	2018	2018	NUM
easat-4570	387	58	.	.	PUNCT
easat-4570	388	1	https://doi.org/10.1364/oe.26.004479	https://doi.org/10.1364/oe.26.004479	X
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easat-4570	389	2	20	20	NUM
easat-4570	389	3	]	]	X
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easat-4570	389	8	dual	dual	ADJ
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easat-4570	389	17	microscopy	microscopy	NOUN
easat-4570	389	18	images	image	NOUN
easat-4570	389	19	,	,	PUNCT
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easat-4570	389	24	,	,	PUNCT
easat-4570	389	25	vol	vol	NOUN
easat-4570	389	26	.	.	PROPN
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easat-4570	390	2	,	,	PUNCT
easat-4570	390	3	no	no	INTJ
easat-4570	390	4	.	.	NOUN
easat-4570	390	5	12	12	NUM
easat-4570	390	6	,	,	PUNCT
easat-4570	390	7	pp	pp	ADJ
easat-4570	390	8	.	.	PUNCT
easat-4570	391	1	3231	3231	NUM
easat-4570	391	2	-	-	SYM
easat-4570	391	3	3239	3239	NUM
easat-4570	391	4	,	,	PUNCT
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easat-4570	391	6	.	.	PUNCT
easat-4570	392	1	https://doi.org/10.1364/boe.3.003231	https://doi.org/10.1364/boe.3.003231	PROPN
easat-4570	393	1	[	[	X
easat-4570	393	2	21	21	NUM
easat-4570	393	3	]	]	PUNCT
easat-4570	393	4	a.	a.	NOUN
easat-4570	393	5	uka	uka	PROPN
easat-4570	393	6	,	,	PUNCT
easat-4570	393	7	g.	g.	PROPN
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easat-4570	393	10	b.	b.	PROPN
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easat-4570	393	12	,	,	PUNCT
easat-4570	393	13	and	and	CCONJ
easat-4570	393	14	b.	b.	PROPN
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easat-4570	393	24	.	.	PUNCT
easat-4570	394	1	biodevices	biodevice	NOUN
easat-4570	394	2	.	.	PUNCT
easat-4570	395	1	https://doi.org/10.5220/0010770000003125	https://doi.org/10.5220/0010770000003125	PROPN
easat-4570	395	2	,	,	PUNCT
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easat-4570	395	4	.	.	PUNCT
easat-4570	396	1	[	[	X
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easat-4570	396	4	a.	a.	NOUN
easat-4570	396	5	uka	uka	PROPN
easat-4570	396	6	,	,	PUNCT
easat-4570	396	7	a.	a.	PROPN
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easat-4570	396	29	images	image	NOUN
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easat-4570	396	40	,	,	PUNCT
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easat-4570	396	45	engineering	engineering	PROPN
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easat-4570	396	48	(	(	PUNCT
easat-4570	396	49	contesa	contesa	NOUN
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easat-4570	396	51	,	,	PUNCT
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easat-4570	396	53	,	,	PUNCT
easat-4570	396	54	2020	2020	NUM
easat-4570	396	55	.	.	PUNCT
easat-4570	397	1	https://doi.org/10.1056/nejm200104053441401	https://doi.org/10.1056/nejm200104053441401	PROPN
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easat-4570	397	4	https://doi.org/10.1007/s10856-014-5164-5	https://doi.org/10.1007/s10856-014-5164-5	NUM
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easat-4570	398	1	https://doi.org/10.1364/boe.3.003231	https://doi.org/10.1364/boe.3.003231	ADJ
easat-4570	398	2	https://doi.org/10.5220/0010770000003125	https://doi.org/10.5220/0010770000003125	X
easat-4570	398	3	705	705	NUM
easat-4570	398	4	edelweiss	edelweiss	PROPN
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easat-4570	398	8	technology	technology	NOUN
easat-4570	398	9	issn	issn	PROPN
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easat-4570	398	11	2576	2576	NUM
easat-4570	398	12	-	-	SYM
easat-4570	398	13	8484	8484	NUM
easat-4570	398	14	vol	vol	NOUN
easat-4570	398	15	.	.	PROPN
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easat-4570	399	2	,	,	PUNCT
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easat-4570	399	4	.	.	NOUN
easat-4570	399	5	2	2	NUM
easat-4570	399	6	:	:	PUNCT
easat-4570	399	7	682	682	NUM
easat-4570	399	8	-	-	SYM
easat-4570	399	9	707	707	NUM
easat-4570	399	10	,	,	PUNCT
easat-4570	399	11	2025	2025	NUM
easat-4570	399	12	doi	doi	NOUN
easat-4570	399	13	:	:	PUNCT
easat-4570	399	14	10.55214/25768484.v9i2.4570	10.55214/25768484.v9i2.4570	NUM
easat-4570	399	15	©	©	PROPN
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easat-4570	399	18	the	the	DET
easat-4570	399	19	authors	author	NOUN
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easat-4570	399	21	licensee	licensee	PROPN
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easat-4570	399	23	gate	gate	NOUN
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easat-4570	400	2	23	23	NUM
easat-4570	400	3	]	]	PUNCT
easat-4570	400	4	a.	a.	NOUN
easat-4570	400	5	uka	uka	PROPN
easat-4570	400	6	,	,	PUNCT
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easat-4570	400	9	,	,	PUNCT
easat-4570	400	10	a.	a.	PROPN
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easat-4570	400	28	surfaces	surface	NOUN
easat-4570	400	29	by	by	ADP
easat-4570	400	30	image	image	NOUN
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easat-4570	400	33	,	,	PUNCT
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easat-4570	400	36	at	at	ADP
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easat-4570	400	39	eurocon	eurocon	NOUN
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easat-4570	400	41	-	-	PUNCT
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easat-4570	401	2	24	24	NUM
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easat-4570	401	42	(	(	PUNCT
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easat-4570	402	12	k.	k.	PROPN
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easat-4570	402	14	,	,	PUNCT
easat-4570	402	15	and	and	CCONJ
easat-4570	402	16	h.	h.	PROPN
easat-4570	402	17	k.-h	k.-h	PROPN
easat-4570	402	18	.	.	PUNCT
easat-4570	403	1	so	so	ADV
easat-4570	403	2	,	,	PUNCT
easat-4570	403	3	"	"	PUNCT
easat-4570	403	4	large	large	ADJ
easat-4570	403	5	-	-	PUNCT
easat-4570	403	6	scale	scale	NOUN
easat-4570	403	7	multi	multi	ADJ
easat-4570	403	8	-	-	ADJ
easat-4570	403	9	class	class	ADJ
easat-4570	403	10	image	image	NOUN
easat-4570	403	11	-	-	PUNCT
easat-4570	403	12	based	base	VERB
easat-4570	403	13	cell	cell	NOUN
easat-4570	403	14	classification	classification	NOUN
easat-4570	403	15	with	with	ADP
easat-4570	403	16	deep	deep	ADJ
easat-4570	403	17	learning	learning	NOUN
easat-4570	403	18	,	,	PUNCT
easat-4570	403	19	"	"	PUNCT
easat-4570	403	20	ieee	ieee	NOUN
easat-4570	403	21	journal	journal	NOUN
easat-4570	403	22	of	of	ADP
easat-4570	403	23	biomedical	biomedical	ADJ
easat-4570	403	24	and	and	CCONJ
easat-4570	403	25	health	health	NOUN
easat-4570	403	26	informatics	informatic	NOUN
easat-4570	403	27	,	,	PUNCT
easat-4570	403	28	vol	vol	NOUN
easat-4570	403	29	.	.	PROPN
easat-4570	403	30	23	23	NUM
easat-4570	403	31	,	,	PUNCT
easat-4570	403	32	no	no	INTJ
easat-4570	403	33	.	.	NOUN
easat-4570	403	34	5	5	NUM
easat-4570	403	35	,	,	PUNCT
easat-4570	403	36	pp	pp	ADJ
easat-4570	403	37	.	.	PUNCT
easat-4570	404	1	2091	2091	NUM
easat-4570	404	2	-	-	SYM
easat-4570	404	3	2098	2098	NUM
easat-4570	404	4	,	,	PUNCT
easat-4570	404	5	2018	2018	NUM
easat-4570	404	6	.	.	PUNCT
easat-4570	405	1	https://doi.org/10.1109/jbhi.2018.2871665	https://doi.org/10.1109/jbhi.2018.2871665	PROPN
easat-4570	405	2	[	[	X
easat-4570	405	3	26	26	NUM
easat-4570	405	4	]	]	PUNCT
easat-4570	405	5	x.	x.	PROPN
easat-4570	405	6	polisi	polisi	PROPN
easat-4570	405	7	duro	duro	PROPN
easat-4570	405	8	,	,	PUNCT
easat-4570	405	9	v.	v.	PROPN
easat-4570	405	10	sharka	sharka	PROPN
easat-4570	405	11	,	,	PUNCT
easat-4570	405	12	a.	a.	PROPN
easat-4570	405	13	uka	uka	PROPN
easat-4570	405	14	,	,	PUNCT
easat-4570	405	15	d.	d.	PROPN
easat-4570	405	16	a.	a.	PROPN
easat-4570	405	17	karras	karras	PROPN
easat-4570	405	18	,	,	PUNCT
easat-4570	405	19	and	and	CCONJ
easat-4570	405	20	a.	a.	PROPN
easat-4570	405	21	n.	n.	PROPN
easat-4570	405	22	halili	halili	PROPN
easat-4570	405	23	,	,	PUNCT
easat-4570	405	24	"	"	PUNCT
easat-4570	405	25	deep	deep	ADJ
easat-4570	405	26	learning	learning	NOUN
easat-4570	405	27	-	-	PUNCT
easat-4570	405	28	based	base	VERB
easat-4570	405	29	detection	detection	NOUN
easat-4570	405	30	,	,	PUNCT
easat-4570	405	31	segmentation	segmentation	NOUN
easat-4570	405	32	and	and	CCONJ
easat-4570	405	33	average	average	ADJ
easat-4570	405	34	area	area	NOUN
easat-4570	405	35	estimation	estimation	NOUN
easat-4570	405	36	of	of	ADP
easat-4570	405	37	cells	cell	NOUN
easat-4570	405	38	,	,	PUNCT
easat-4570	405	39	"	"	PUNCT
easat-4570	405	40	journal	journal	NOUN
easat-4570	405	41	of	of	ADP
easat-4570	405	42	natural	natural	ADJ
easat-4570	405	43	and	and	CCONJ
easat-4570	405	44	technical	technical	ADJ
easat-4570	405	45	sciences	science	NOUN
easat-4570	405	46	,	,	PUNCT
easat-4570	405	47	vol	vol	NOUN
easat-4570	405	48	.	.	PROPN
easat-4570	405	49	29	29	NUM
easat-4570	405	50	,	,	PUNCT
easat-4570	405	51	no	no	INTJ
easat-4570	405	52	.	.	NOUN
easat-4570	405	53	1	1	NUM
easat-4570	405	54	,	,	PUNCT
easat-4570	405	55	2024	2024	NUM
easat-4570	405	56	.	.	PUNCT
easat-4570	406	1	[	[	X
easat-4570	406	2	27	27	NUM
easat-4570	406	3	]	]	X
easat-4570	406	4	n.	n.	PROPN
easat-4570	406	5	meng	meng	PROPN
easat-4570	406	6	,	,	PUNCT
easat-4570	406	7	h.	h.	PROPN
easat-4570	406	8	k.	k.	PROPN
easat-4570	406	9	h.	h.	PROPN
easat-4570	407	1	so	so	ADV
easat-4570	407	2	,	,	PUNCT
easat-4570	407	3	and	and	CCONJ
easat-4570	407	4	e.	e.	PROPN
easat-4570	407	5	y.	y.	PROPN
easat-4570	407	6	lam	lam	PROPN
easat-4570	407	7	,	,	PUNCT
easat-4570	407	8	"	"	PUNCT
easat-4570	407	9	computational	computational	ADJ
easat-4570	407	10	single	single	ADJ
easat-4570	407	11	-	-	PUNCT
easat-4570	407	12	cell	cell	NOUN
easat-4570	407	13	classification	classification	NOUN
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easat-4570	407	15	deep	deep	ADJ
easat-4570	407	16	learning	learning	NOUN
easat-4570	407	17	on	on	ADP
easat-4570	407	18	bright	bright	ADJ
easat-4570	407	19	-	-	PUNCT
easat-4570	407	20	field	field	NOUN
easat-4570	407	21	and	and	CCONJ
easat-4570	407	22	phase	phase	NOUN
easat-4570	407	23	images	image	NOUN
easat-4570	407	24	,	,	PUNCT
easat-4570	407	25	"	"	PUNCT
easat-4570	407	26	presented	present	VERB
easat-4570	407	27	at	at	ADP
easat-4570	407	28	the	the	DET
easat-4570	407	29	2017	2017	NUM
easat-4570	407	30	fifteenth	fifteenth	NOUN
easat-4570	407	31	iapr	iapr	VERB
easat-4570	407	32	international	international	ADJ
easat-4570	407	33	conference	conference	NOUN
easat-4570	407	34	on	on	ADP
easat-4570	407	35	machine	machine	NOUN
easat-4570	407	36	vision	vision	NOUN
easat-4570	407	37	applications	application	NOUN
easat-4570	407	38	(	(	PUNCT
easat-4570	407	39	mva	mva	NOUN
easat-4570	407	40	)	)	PUNCT
easat-4570	407	41	,	,	PUNCT
easat-4570	407	42	ieee	ieee	NOUN
easat-4570	407	43	,	,	PUNCT
easat-4570	407	44	2017	2017	NUM
easat-4570	407	45	.	.	PUNCT
easat-4570	408	1	[	[	X
easat-4570	408	2	28	28	NUM
easat-4570	408	3	]	]	X
easat-4570	408	4	x.	x.	NOUN
easat-4570	408	5	polisi	polisi	PROPN
easat-4570	408	6	,	,	PUNCT
easat-4570	408	7	d.	d.	PROPN
easat-4570	408	8	avdiu	avdiu	PROPN
easat-4570	408	9	,	,	PUNCT
easat-4570	408	10	a.	a.	PROPN
easat-4570	408	11	uka	uka	PROPN
easat-4570	408	12	,	,	PUNCT
easat-4570	408	13	a.	a.	PROPN
easat-4570	408	14	n.	n.	PROPN
easat-4570	408	15	halili	halili	PROPN
easat-4570	408	16	,	,	PUNCT
easat-4570	408	17	k.	k.	PROPN
easat-4570	408	18	kollcaku	kollcaku	PROPN
easat-4570	408	19	,	,	PUNCT
easat-4570	408	20	and	and	CCONJ
easat-4570	408	21	c.	c.	PROPN
easat-4570	408	22	ciulla	ciulla	PROPN
easat-4570	408	23	,	,	PUNCT
easat-4570	408	24	"	"	PUNCT
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easat-4570	408	27	cell	cell	NOUN
easat-4570	408	28	segmentation	segmentation	NOUN
easat-4570	408	29	using	use	VERB
easat-4570	408	30	pruning	prune	VERB
easat-4570	408	31	and	and	CCONJ
easat-4570	408	32	quantization	quantization	NOUN
easat-4570	408	33	,	,	PUNCT
easat-4570	408	34	"	"	PUNCT
easat-4570	408	35	presented	present	VERB
easat-4570	408	36	at	at	ADP
easat-4570	408	37	the	the	DET
easat-4570	408	38	2023	2023	NUM
easat-4570	408	39	international	international	ADJ
easat-4570	408	40	conference	conference	NOUN
easat-4570	408	41	on	on	ADP
easat-4570	408	42	computing	computing	NOUN
easat-4570	408	43	,	,	PUNCT
easat-4570	408	44	electronics	electronics	PROPN
easat-4570	408	45	&	&	CCONJ
easat-4570	408	46	communications	communications	PROPN
easat-4570	408	47	engineering	engineering	NOUN
easat-4570	408	48	(	(	PUNCT
easat-4570	408	49	iccece	iccece	PROPN
easat-4570	408	50	)	)	PUNCT
easat-4570	408	51	,	,	PUNCT
easat-4570	408	52	ieee	ieee	PROPN
easat-4570	408	53	.	.	PROPN
easat-4570	408	54	,	,	PUNCT
easat-4570	408	55	2023	2023	NUM
easat-4570	408	56	.	.	PUNCT
easat-4570	409	1	[	[	X
easat-4570	409	2	29	29	NUM
easat-4570	409	3	]	]	PUNCT
easat-4570	409	4	z.	z.	PROPN
easat-4570	409	5	zheng	zheng	PROPN
easat-4570	409	6	,	,	PUNCT
easat-4570	409	7	b.	b.	PROPN
easat-4570	409	8	sun	sun	PROPN
easat-4570	409	9	,	,	PUNCT
easat-4570	409	10	s.	s.	PROPN
easat-4570	409	11	he	he	PRON
easat-4570	409	12	,	,	PUNCT
easat-4570	409	13	g.	g.	PROPN
easat-4570	409	14	wang	wang	PROPN
easat-4570	409	15	,	,	PUNCT
easat-4570	409	16	c.	c.	PROPN
easat-4570	409	17	bi	bi	PROPN
easat-4570	409	18	,	,	PUNCT
easat-4570	409	19	and	and	CCONJ
easat-4570	409	20	t.	t.	PROPN
easat-4570	409	21	chen	chen	PROPN
easat-4570	409	22	,	,	PUNCT
easat-4570	409	23	"	"	PUNCT
easat-4570	409	24	unsupervised	unsupervised	ADJ
easat-4570	409	25	deep	deep	ADJ
easat-4570	409	26	learning	learning	NOUN
easat-4570	409	27	of	of	ADP
easat-4570	409	28	bright	bright	ADJ
easat-4570	409	29	-	-	PUNCT
easat-4570	409	30	field	field	NOUN
easat-4570	409	31	images	image	NOUN
easat-4570	409	32	for	for	ADP
easat-4570	409	33	apoptotic	apoptotic	ADJ
easat-4570	409	34	cell	cell	NOUN
easat-4570	409	35	classification	classification	NOUN
easat-4570	409	36	,	,	PUNCT
easat-4570	409	37	"	"	PUNCT
easat-4570	409	38	signal	signal	NOUN
easat-4570	409	39	,	,	PUNCT
easat-4570	409	40	image	image	NOUN
easat-4570	409	41	and	and	CCONJ
easat-4570	409	42	video	video	NOUN
easat-4570	409	43	processing	processing	NOUN
easat-4570	409	44	,	,	PUNCT
easat-4570	409	45	vol	vol	NOUN
easat-4570	409	46	.	.	PROPN
easat-4570	409	47	17	17	NUM
easat-4570	409	48	,	,	PUNCT
easat-4570	409	49	no	no	INTJ
easat-4570	409	50	.	.	NOUN
easat-4570	409	51	7	7	NUM
easat-4570	409	52	,	,	PUNCT
easat-4570	409	53	pp	pp	ADJ
easat-4570	409	54	.	.	PUNCT
easat-4570	409	55	3657	3657	NUM
easat-4570	409	56	-	-	SYM
easat-4570	409	57	3664	3664	NUM
easat-4570	409	58	,	,	PUNCT
easat-4570	409	59	2023	2023	NUM
easat-4570	409	60	.	.	PUNCT
easat-4570	409	61	https://doi.org/10.1007/s11760-023-02592-1	https://doi.org/10.1007/s11760-023-02592-1	PUNCT
easat-4570	410	1	[	[	X
easat-4570	410	2	30	30	NUM
easat-4570	410	3	]	]	X
easat-4570	410	4	c.	c.	NOUN
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easat-4570	410	6	,	,	PUNCT
easat-4570	410	7	v.	v.	PROPN
easat-4570	410	8	vanhoucke	vanhoucke	PROPN
easat-4570	410	9	,	,	PUNCT
easat-4570	410	10	s.	s.	PROPN
easat-4570	410	11	ioffe	ioffe	PROPN
easat-4570	410	12	,	,	PUNCT
easat-4570	410	13	j.	j.	PROPN
easat-4570	410	14	shlens	shlens	PROPN
easat-4570	410	15	,	,	PUNCT
easat-4570	410	16	and	and	CCONJ
easat-4570	410	17	z.	z.	PROPN
easat-4570	410	18	wojna	wojna	PROPN
easat-4570	410	19	,	,	PUNCT
easat-4570	410	20	"	"	PUNCT
easat-4570	410	21	rethinking	rethink	VERB
easat-4570	410	22	the	the	DET
easat-4570	410	23	inception	inception	ADJ
easat-4570	410	24	architecture	architecture	NOUN
easat-4570	410	25	for	for	ADP
easat-4570	410	26	computer	computer	NOUN
easat-4570	410	27	vision	vision	NOUN
easat-4570	410	28	,	,	PUNCT
easat-4570	410	29	"	"	PUNCT
easat-4570	410	30	in	in	ADP
easat-4570	410	31	proceedings	proceeding	NOUN
easat-4570	410	32	of	of	ADP
easat-4570	410	33	the	the	DET
easat-4570	410	34	ieee	ieee	NOUN
easat-4570	410	35	conference	conference	NOUN
easat-4570	410	36	on	on	ADP
easat-4570	410	37	computer	computer	NOUN
easat-4570	410	38	vision	vision	NOUN
easat-4570	410	39	and	and	CCONJ
easat-4570	410	40	pattern	pattern	NOUN
easat-4570	410	41	recognition	recognition	NOUN
easat-4570	410	42	,	,	PUNCT
easat-4570	410	43	2016	2016	NUM
easat-4570	410	44	,	,	PUNCT
easat-4570	410	45	pp	pp	ADJ
easat-4570	410	46	.	.	PUNCT
easat-4570	411	1	2818–2826	2818–2826	NUM
easat-4570	411	2	,	,	PUNCT
easat-4570	411	3	doi	doi	NOUN
easat-4570	411	4	:	:	PUNCT
easat-4570	411	5	https://doi.org/10.1109/cvpr.2016.308	https://doi.org/10.1109/cvpr.2016.308	NOUN
easat-4570	411	6	.	.	PUNCT
easat-4570	412	1	[	[	X
easat-4570	412	2	31	31	NUM
easat-4570	412	3	]	]	X
easat-4570	412	4	r.	r.	PROPN
easat-4570	412	5	tamilarasi	tamilarasi	PROPN
easat-4570	412	6	and	and	CCONJ
easat-4570	412	7	s.	s.	PROPN
easat-4570	412	8	gopinathan	gopinathan	PROPN
easat-4570	412	9	,	,	PUNCT
easat-4570	412	10	"	"	PUNCT
easat-4570	412	11	inception	inception	ADJ
easat-4570	412	12	architecture	architecture	NOUN
easat-4570	412	13	for	for	ADP
easat-4570	412	14	brain	brain	NOUN
easat-4570	412	15	image	image	NOUN
easat-4570	412	16	classification	classification	NOUN
easat-4570	412	17	,	,	PUNCT
easat-4570	412	18	"	"	PUNCT
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easat-4570	412	20	of	of	ADP
easat-4570	412	21	physics	physics	PROPN
easat-4570	412	22	:	:	PUNCT
easat-4570	412	23	conference	conference	NOUN
easat-4570	412	24	series	series	NOUN
easat-4570	412	25	,	,	PUNCT
easat-4570	412	26	iop	iop	NOUN
easat-4570	412	27	publishing	publishing	NOUN
easat-4570	412	28	,	,	PUNCT
easat-4570	412	29	vol	vol	NOUN
easat-4570	412	30	.	.	PROPN
easat-4570	412	31	1964	1964	NUM
easat-4570	412	32	,	,	PUNCT
easat-4570	412	33	no	no	INTJ
easat-4570	412	34	.	.	NOUN
easat-4570	412	35	7	7	NUM
easat-4570	412	36	,	,	PUNCT
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easat-4570	412	39	,	,	PUNCT
easat-4570	412	40	2021	2021	NUM
easat-4570	412	41	.	.	PUNCT
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easat-4570	413	1	[	[	X
easat-4570	413	2	32	32	NUM
easat-4570	413	3	]	]	PUNCT
easat-4570	413	4	c.	c.	PROPN
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easat-4570	413	8	.	.	PROPN
easat-4570	413	9	,	,	PUNCT
easat-4570	413	10	"	"	PUNCT
easat-4570	413	11	pulmonary	pulmonary	ADJ
easat-4570	413	12	image	image	NOUN
easat-4570	413	13	classification	classification	NOUN
easat-4570	413	14	based	base	VERB
easat-4570	413	15	on	on	ADP
easat-4570	413	16	inception	inception	PROPN
easat-4570	413	17	-	-	PUNCT
easat-4570	413	18	v3	v3	NOUN
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easat-4570	413	20	learning	learning	NOUN
easat-4570	413	21	model	model	NOUN
easat-4570	413	22	,	,	PUNCT
easat-4570	413	23	"	"	PUNCT
easat-4570	413	24	ieee	ieee	NOUN
easat-4570	413	25	access	access	NOUN
easat-4570	413	26	,	,	PUNCT
easat-4570	413	27	vol	vol	NOUN
easat-4570	413	28	.	.	PROPN
easat-4570	413	29	7	7	NUM
easat-4570	413	30	,	,	PUNCT
easat-4570	413	31	pp	pp	ADJ
easat-4570	413	32	.	.	PUNCT
easat-4570	414	1	146533	146533	NUM
easat-4570	414	2	-	-	SYM
easat-4570	414	3	146541	146541	NUM
easat-4570	414	4	,	,	PUNCT
easat-4570	414	5	2019	2019	NUM
easat-4570	414	6	.	.	PUNCT
easat-4570	415	1	https://doi.org/10.1109/access.2019.2946000	https://doi.org/10.1109/access.2019.2946000	PROPN
easat-4570	416	1	[	[	X
easat-4570	416	2	33	33	NUM
easat-4570	416	3	]	]	PUNCT
easat-4570	416	4	f.	f.	PROPN
easat-4570	416	5	n.	n.	PROPN
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easat-4570	416	7	,	,	PUNCT
easat-4570	416	8	"	"	PUNCT
easat-4570	416	9	squeezenet	squeezenet	NOUN
easat-4570	416	10	:	:	PUNCT
easat-4570	416	11	alexnet	alexnet	ADJ
easat-4570	416	12	-	-	PUNCT
easat-4570	416	13	level	level	NOUN
easat-4570	416	14	accuracy	accuracy	NOUN
easat-4570	416	15	with	with	ADP
easat-4570	416	16	50x	50x	NUM
easat-4570	416	17	fewer	few	ADJ
easat-4570	416	18	parameters	parameter	NOUN
easat-4570	416	19	and	and	CCONJ
easat-4570	416	20	<	<	X
easat-4570	416	21	0.5	0.5	NUM
easat-4570	416	22	mb	mb	NOUN
easat-4570	416	23	model	model	NOUN
easat-4570	416	24	size	size	NOUN
easat-4570	416	25	,	,	PUNCT
easat-4570	416	26	"	"	PUNCT
easat-4570	416	27	arxiv	arxiv	PROPN
easat-4570	416	28	preprint	preprint	NOUN
easat-4570	416	29	arxiv:1602.07360	arxiv:1602.07360	NOUN
easat-4570	416	30	,	,	PUNCT
easat-4570	416	31	2016	2016	NUM
easat-4570	416	32	.	.	PUNCT
easat-4570	417	1	[	[	X
easat-4570	417	2	34	34	NUM
easat-4570	417	3	]	]	X
easat-4570	417	4	m.	m.	NOUN
easat-4570	417	5	tsivgoulis	tsivgoulis	PROPN
easat-4570	417	6	,	,	PUNCT
easat-4570	417	7	t.	t.	NOUN
easat-4570	417	8	papastergiou	papastergiou	NOUN
easat-4570	417	9	,	,	PUNCT
easat-4570	417	10	and	and	CCONJ
easat-4570	417	11	v.	v.	ADP
easat-4570	417	12	megalooikonomou	megalooikonomou	NOUN
easat-4570	417	13	,	,	PUNCT
easat-4570	417	14	"	"	PUNCT
easat-4570	417	15	an	an	DET
easat-4570	417	16	improved	improved	ADJ
easat-4570	417	17	squeezenet	squeezenet	NOUN
easat-4570	417	18	model	model	NOUN
easat-4570	417	19	for	for	ADP
easat-4570	417	20	the	the	DET
easat-4570	417	21	diagnosis	diagnosis	NOUN
easat-4570	417	22	of	of	ADP
easat-4570	417	23	lung	lung	NOUN
easat-4570	417	24	cancer	cancer	NOUN
easat-4570	417	25	in	in	ADP
easat-4570	417	26	ct	ct	PROPN
easat-4570	417	27	scans	scan	NOUN
easat-4570	417	28	,	,	PUNCT
easat-4570	417	29	"	"	PUNCT
easat-4570	417	30	machine	machine	NOUN
easat-4570	417	31	learning	learn	VERB
easat-4570	417	32	with	with	ADP
easat-4570	417	33	applications	application	NOUN
easat-4570	417	34	,	,	PUNCT
easat-4570	417	35	vol	vol	NOUN
easat-4570	417	36	.	.	PROPN
easat-4570	417	37	10	10	NUM
easat-4570	417	38	,	,	PUNCT
easat-4570	417	39	p.	p.	NOUN
easat-4570	417	40	100399	100399	NUM
easat-4570	417	41	,	,	PUNCT
easat-4570	417	42	2022	2022	NUM
easat-4570	417	43	.	.	PUNCT
easat-4570	418	1	https://doi.org/10.1016/j.mlwa.2022.100399	https://doi.org/10.1016/j.mlwa.2022.100399	NOUN
easat-4570	418	2	[	[	X
easat-4570	418	3	35	35	NUM
easat-4570	418	4	]	]	X
easat-4570	418	5	z.-p	z.-p	PROPN
easat-4570	418	6	.	.	PUNCT
easat-4570	419	1	jiang	jiang	PROPN
easat-4570	419	2	,	,	PUNCT
easat-4570	419	3	y.-y	y.-y	VERB
easat-4570	419	4	.	.	PUNCT
easat-4570	420	1	liu	liu	PROPN
easat-4570	420	2	,	,	PUNCT
easat-4570	420	3	z.-e	z.-e	NOUN
easat-4570	420	4	.	.	PUNCT
easat-4570	421	1	shao	shao	PROPN
easat-4570	421	2	,	,	PUNCT
easat-4570	421	3	and	and	CCONJ
easat-4570	421	4	k.-w	k.-w	PROPN
easat-4570	421	5	.	.	PUNCT
easat-4570	422	1	huang	huang	PROPN
easat-4570	422	2	,	,	PUNCT
easat-4570	422	3	"	"	PUNCT
easat-4570	422	4	an	an	DET
easat-4570	422	5	improved	improved	ADJ
easat-4570	422	6	vgg16	vgg16	NOUN
easat-4570	422	7	model	model	NOUN
easat-4570	422	8	for	for	ADP
easat-4570	422	9	pneumonia	pneumonia	NOUN
easat-4570	422	10	image	image	NOUN
easat-4570	422	11	classification	classification	NOUN
easat-4570	422	12	,	,	PUNCT
easat-4570	422	13	"	"	PUNCT
easat-4570	422	14	applied	apply	VERB
easat-4570	422	15	sciences	science	NOUN
easat-4570	422	16	,	,	PUNCT
easat-4570	422	17	vol	vol	NOUN
easat-4570	422	18	.	.	PROPN
easat-4570	422	19	11	11	NUM
easat-4570	422	20	,	,	PUNCT
easat-4570	422	21	no	no	INTJ
easat-4570	422	22	.	.	NOUN
easat-4570	422	23	23	23	NUM
easat-4570	422	24	,	,	PUNCT
easat-4570	422	25	p.	p.	NOUN
easat-4570	422	26	11185	11185	NUM
easat-4570	422	27	,	,	PUNCT
easat-4570	422	28	2021	2021	NUM
easat-4570	422	29	.	.	PUNCT
easat-4570	423	1	https://doi.org/10.3390/app112311185	https://doi.org/10.3390/app112311185	PRON
easat-4570	424	1	[	[	X
easat-4570	424	2	36	36	NUM
easat-4570	424	3	]	]	PUNCT
easat-4570	424	4	r.	r.	PROPN
easat-4570	424	5	s.	s.	PROPN
easat-4570	424	6	chugh	chugh	PROPN
easat-4570	424	7	,	,	PUNCT
easat-4570	424	8	v.	v.	PROPN
easat-4570	424	9	bhatia	bhatia	PROPN
easat-4570	424	10	,	,	PUNCT
easat-4570	424	11	k.	k.	PROPN
easat-4570	424	12	khanna	khanna	PROPN
easat-4570	424	13	,	,	PUNCT
easat-4570	424	14	and	and	CCONJ
easat-4570	424	15	v.	v.	PROPN
easat-4570	424	16	bhatia	bhatia	PROPN
easat-4570	424	17	,	,	PUNCT
easat-4570	424	18	"	"	PUNCT
easat-4570	424	19	a	a	DET
easat-4570	424	20	comparative	comparative	ADJ
easat-4570	424	21	analysis	analysis	NOUN
easat-4570	424	22	of	of	ADP
easat-4570	424	23	classifiers	classifier	NOUN
easat-4570	424	24	for	for	ADP
easat-4570	424	25	image	image	NOUN
easat-4570	424	26	classification	classification	NOUN
easat-4570	424	27	,	,	PUNCT
easat-4570	424	28	"	"	PUNCT
easat-4570	424	29	presented	present	VERB
easat-4570	424	30	at	at	ADP
easat-4570	424	31	the	the	DET
easat-4570	424	32	2020	2020	NUM
easat-4570	424	33	10th	10th	ADJ
easat-4570	424	34	international	international	ADJ
easat-4570	424	35	conference	conference	NOUN
easat-4570	424	36	on	on	ADP
easat-4570	424	37	cloud	cloud	NOUN
easat-4570	424	38	computing	computing	NOUN
easat-4570	424	39	,	,	PUNCT
easat-4570	424	40	data	data	NOUN
easat-4570	424	41	science	science	PROPN
easat-4570	424	42	&	&	CCONJ
easat-4570	424	43	engineering	engineering	PROPN
easat-4570	424	44	(	(	PUNCT
easat-4570	424	45	confluence	confluence	NOUN
easat-4570	424	46	)	)	PUNCT
easat-4570	424	47	,	,	PUNCT
easat-4570	424	48	ieee	ieee	NOUN
easat-4570	424	49	,	,	PUNCT
easat-4570	424	50	2020	2020	NUM
easat-4570	424	51	.	.	PUNCT
easat-4570	425	1	[	[	X
easat-4570	425	2	37	37	NUM
easat-4570	425	3	]	]	X
easat-4570	425	4	e.	e.	PROPN
easat-4570	425	5	o.	o.	PROPN
easat-4570	425	6	omuya	omuya	PROPN
easat-4570	425	7	,	,	PUNCT
easat-4570	425	8	g.	g.	PROPN
easat-4570	425	9	o.	o.	PROPN
easat-4570	425	10	okeyo	okeyo	PROPN
easat-4570	425	11	,	,	PUNCT
easat-4570	425	12	and	and	CCONJ
easat-4570	425	13	m.	m.	PROPN
easat-4570	425	14	w.	w.	PROPN
easat-4570	425	15	kimwele	kimwele	PROPN
easat-4570	425	16	,	,	PUNCT
easat-4570	425	17	"	"	PUNCT
easat-4570	425	18	feature	feature	NOUN
easat-4570	425	19	selection	selection	NOUN
easat-4570	425	20	for	for	ADP
easat-4570	425	21	classification	classification	NOUN
easat-4570	425	22	using	use	VERB
easat-4570	425	23	principal	principal	ADJ
easat-4570	425	24	component	component	NOUN
easat-4570	425	25	analysis	analysis	NOUN
easat-4570	425	26	and	and	CCONJ
easat-4570	425	27	information	information	NOUN
easat-4570	425	28	gain	gain	NOUN
easat-4570	425	29	,	,	PUNCT
easat-4570	425	30	"	"	PUNCT
easat-4570	425	31	expert	expert	NOUN
easat-4570	425	32	systems	system	NOUN
easat-4570	425	33	with	with	ADP
easat-4570	425	34	applications	application	NOUN
easat-4570	425	35	,	,	PUNCT
easat-4570	425	36	vol	vol	NOUN
easat-4570	425	37	.	.	PROPN
easat-4570	425	38	174	174	NUM
easat-4570	425	39	,	,	PUNCT
easat-4570	425	40	p.	p.	NOUN
easat-4570	425	41	114765	114765	NUM
easat-4570	425	42	,	,	PUNCT
easat-4570	425	43	2021	2021	NUM
easat-4570	425	44	.	.	PUNCT
easat-4570	426	1	https://doi.org/10.1016/j.eswa.2021.114765	https://doi.org/10.1016/j.eswa.2021.114765	PROPN
easat-4570	427	1	[	[	X
easat-4570	427	2	38	38	NUM
easat-4570	427	3	]	]	PUNCT
easat-4570	427	4	s.	s.	PROPN
easat-4570	427	5	raghavendra	raghavendra	PROPN
easat-4570	427	6	and	and	CCONJ
easat-4570	427	7	m.	m.	PROPN
easat-4570	427	8	indiramma	indiramma	PROPN
easat-4570	427	9	,	,	PUNCT
easat-4570	427	10	"	"	PUNCT
easat-4570	427	11	hybrid	hybrid	ADJ
easat-4570	427	12	data	data	NOUN
easat-4570	427	13	mining	mining	NOUN
easat-4570	427	14	model	model	NOUN
easat-4570	427	15	for	for	ADP
easat-4570	427	16	the	the	DET
easat-4570	427	17	classification	classification	NOUN
easat-4570	427	18	and	and	CCONJ
easat-4570	427	19	prediction	prediction	NOUN
easat-4570	427	20	of	of	ADP
easat-4570	427	21	medical	medical	ADJ
easat-4570	427	22	datasets	dataset	NOUN
easat-4570	427	23	,	,	PUNCT
easat-4570	427	24	"	"	PUNCT
easat-4570	427	25	international	international	ADJ
easat-4570	427	26	journal	journal	NOUN
easat-4570	427	27	of	of	ADP
easat-4570	427	28	knowledge	knowledge	NOUN
easat-4570	427	29	engineering	engineering	NOUN
easat-4570	427	30	and	and	CCONJ
easat-4570	427	31	soft	soft	ADJ
easat-4570	427	32	data	datum	NOUN
easat-4570	427	33	paradigms	paradigm	NOUN
easat-4570	427	34	,	,	PUNCT
easat-4570	427	35	vol	vol	NOUN
easat-4570	427	36	.	.	PROPN
easat-4570	427	37	5	5	NUM
easat-4570	427	38	,	,	PUNCT
easat-4570	427	39	no	no	INTJ
easat-4570	427	40	.	.	NOUN
easat-4570	428	1	3	3	NUM
easat-4570	428	2	-	-	SYM
easat-4570	428	3	4	4	NUM
easat-4570	428	4	,	,	PUNCT
easat-4570	428	5	pp	pp	ADJ
easat-4570	428	6	.	.	PUNCT
easat-4570	429	1	262	262	NUM
easat-4570	429	2	-	-	SYM
easat-4570	429	3	284	284	NUM
easat-4570	429	4	,	,	PUNCT
easat-4570	429	5	2016	2016	NUM
easat-4570	429	6	.	.	PUNCT
easat-4570	430	1	https://doi.org/10.1504/ijkesdp.2016.10001566	https://doi.org/10.1504/ijkesdp.2016.10001566	PROPN
easat-4570	431	1	[	[	X
easat-4570	431	2	39	39	NUM
easat-4570	431	3	]	]	PUNCT
easat-4570	431	4	j.	j.	PROPN
easat-4570	431	5	tang	tang	PROPN
easat-4570	431	6	,	,	PUNCT
easat-4570	431	7	s.	s.	PROPN
easat-4570	431	8	alelyani	alelyani	PROPN
easat-4570	431	9	,	,	PUNCT
easat-4570	431	10	and	and	CCONJ
easat-4570	431	11	h.	h.	PROPN
easat-4570	431	12	liu	liu	PROPN
easat-4570	431	13	,	,	PUNCT
easat-4570	431	14	"	"	PUNCT
easat-4570	431	15	feature	feature	NOUN
easat-4570	431	16	selection	selection	NOUN
easat-4570	431	17	for	for	ADP
easat-4570	431	18	classification	classification	NOUN
easat-4570	431	19	:	:	PUNCT
easat-4570	431	20	a	a	DET
easat-4570	431	21	review	review	NOUN
easat-4570	431	22	,	,	PUNCT
easat-4570	431	23	"	"	PUNCT
easat-4570	431	24	data	datum	NOUN
easat-4570	431	25	classification	classification	NOUN
easat-4570	431	26	:	:	PUNCT
easat-4570	431	27	algorithms	algorithm	NOUN
easat-4570	431	28	and	and	CCONJ
easat-4570	431	29	applications	application	NOUN
easat-4570	431	30	,	,	PUNCT
easat-4570	431	31	p.	p.	NOUN
easat-4570	431	32	37	37	NUM
easat-4570	431	33	,	,	PUNCT
easat-4570	431	34	2014	2014	NUM
easat-4570	431	35	.	.	PUNCT
easat-4570	432	1	https://doi.org/10.1201/b17320-3	https://doi.org/10.1201/b17320-3	NUM
easat-4570	433	1	[	[	X
easat-4570	433	2	40	40	NUM
easat-4570	433	3	]	]	PUNCT
easat-4570	433	4	r.	r.	PROPN
easat-4570	433	5	mehta	mehta	PROPN
easat-4570	433	6	,	,	PUNCT
easat-4570	433	7	c.	c.	PROPN
easat-4570	433	8	shui	shui	PROPN
easat-4570	433	9	,	,	PUNCT
easat-4570	433	10	b.	b.	PROPN
easat-4570	433	11	nichyporuk	nichyporuk	PROPN
easat-4570	433	12	,	,	PUNCT
easat-4570	433	13	and	and	CCONJ
easat-4570	433	14	t.	t.	NOUN
easat-4570	433	15	arbel	arbel	NOUN
easat-4570	433	16	,	,	PUNCT
easat-4570	433	17	"	"	PUNCT
easat-4570	433	18	information	information	NOUN
easat-4570	433	19	gain	gain	NOUN
easat-4570	433	20	sampling	sample	VERB
easat-4570	433	21	for	for	ADP
easat-4570	433	22	active	active	ADJ
easat-4570	433	23	learning	learning	NOUN
easat-4570	433	24	in	in	ADP
easat-4570	433	25	medical	medical	ADJ
easat-4570	433	26	image	image	NOUN
easat-4570	433	27	classification	classification	NOUN
easat-4570	433	28	.	.	PUNCT
easat-4570	434	1	in	in	ADP
easat-4570	434	2	international	international	ADJ
easat-4570	434	3	workshop	workshop	NOUN
easat-4570	434	4	on	on	ADP
easat-4570	434	5	uncertainty	uncertainty	NOUN
easat-4570	434	6	for	for	ADP
easat-4570	434	7	safe	safe	ADJ
easat-4570	434	8	utilization	utilization	NOUN
easat-4570	434	9	of	of	ADP
easat-4570	434	10	machine	machine	NOUN
easat-4570	434	11	learning	learning	NOUN
easat-4570	434	12	in	in	ADP
easat-4570	434	13	medical	medical	ADJ
easat-4570	434	14	imaging	imaging	NOUN
easat-4570	434	15	,	,	PUNCT
easat-4570	434	16	"	"	PUNCT
easat-4570	434	17	presented	present	VERB
easat-4570	434	18	at	at	ADP
easat-4570	434	19	the	the	DET
easat-4570	434	20	springer	springer	NOUN
easat-4570	434	21	nature	nature	PROPN
easat-4570	434	22	switzerland	switzerland	PROPN
easat-4570	434	23	.	.	PUNCT
easat-4570	435	1	https://doi.org/10.1007/978-3-031-16749-2_13	https://doi.org/10.1007/978-3-031-16749-2_13	NOUN
easat-4570	435	2	,	,	PUNCT
easat-4570	435	3	2022	2022	NUM
easat-4570	435	4	.	.	PUNCT
easat-4570	436	1	[	[	X
easat-4570	436	2	41	41	NUM
easat-4570	436	3	]	]	PUNCT
easat-4570	436	4	a.	a.	NOUN
easat-4570	436	5	uka	uka	PROPN
easat-4570	436	6	,	,	PUNCT
easat-4570	436	7	x.	x.	PROPN
easat-4570	436	8	polisi	polisi	PROPN
easat-4570	436	9	,	,	PUNCT
easat-4570	436	10	j.	j.	PROPN
easat-4570	436	11	barthes	barthes	PROPN
easat-4570	436	12	,	,	PUNCT
easat-4570	436	13	a.	a.	PROPN
easat-4570	436	14	n.	n.	PROPN
easat-4570	436	15	halili	halili	PROPN
easat-4570	436	16	,	,	PUNCT
easat-4570	436	17	f.	f.	PROPN
easat-4570	436	18	skuka	skuka	PROPN
easat-4570	436	19	,	,	PUNCT
easat-4570	436	20	and	and	CCONJ
easat-4570	436	21	n.	n.	PROPN
easat-4570	436	22	e.	e.	PROPN
easat-4570	436	23	vrana	vrana	PROPN
easat-4570	436	24	,	,	PUNCT
easat-4570	436	25	"	"	PUNCT
easat-4570	436	26	effect	effect	NOUN
easat-4570	436	27	of	of	ADP
easat-4570	436	28	preprocessing	preprocesse	VERB
easat-4570	436	29	on	on	ADP
easat-4570	436	30	performance	performance	NOUN
easat-4570	436	31	of	of	ADP
easat-4570	436	32	neural	neural	ADJ
easat-4570	436	33	networks	network	NOUN
easat-4570	436	34	for	for	ADP
easat-4570	436	35	microscopy	microscopy	NOUN
easat-4570	436	36	image	image	NOUN
easat-4570	436	37	classification	classification	NOUN
easat-4570	436	38	,	,	PUNCT
easat-4570	436	39	"	"	PUNCT
easat-4570	436	40	presented	present	VERB
easat-4570	436	41	at	at	ADP
easat-4570	436	42	the	the	DET
easat-4570	436	43	2020	2020	NUM
easat-4570	436	44	international	international	ADJ
easat-4570	436	45	conference	conference	NOUN
easat-4570	436	46	on	on	ADP
easat-4570	436	47	computing	computing	NOUN
easat-4570	436	48	,	,	PUNCT
easat-4570	436	49	electronics	electronics	PROPN
easat-4570	436	50	&	&	CCONJ
easat-4570	436	51	communications	communications	PROPN
easat-4570	436	52	engineering	engineering	NOUN
easat-4570	436	53	(	(	PUNCT
easat-4570	436	54	iccece	iccece	PROPN
easat-4570	436	55	)	)	PUNCT
easat-4570	436	56	,	,	PUNCT
easat-4570	436	57	ieee	ieee	NOUN
easat-4570	436	58	,	,	PUNCT
easat-4570	436	59	2020	2020	NUM
easat-4570	436	60	.	.	PUNCT
easat-4570	437	1	[	[	X
easat-4570	437	2	42	42	NUM
easat-4570	437	3	]	]	PUNCT
easat-4570	437	4	s.	s.	PROPN
easat-4570	437	5	minoshima	minoshima	PROPN
easat-4570	437	6	et	et	PROPN
easat-4570	437	7	al	al	PROPN
easat-4570	437	8	.	.	PROPN
easat-4570	437	9	,	,	PUNCT
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easat-4570	437	14	filter	filter	NOUN
easat-4570	437	15	for	for	ADP
easat-4570	437	16	brain	brain	NOUN
easat-4570	437	17	spect	spect	PROPN
easat-4570	437	18	imaging	imaging	NOUN
easat-4570	437	19	,	,	PUNCT
easat-4570	437	20	"	"	PUNCT
easat-4570	437	21	annals	annals	NOUN
easat-4570	437	22	of	of	ADP
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easat-4570	437	25	,	,	PUNCT
easat-4570	437	26	vol	vol	NOUN
easat-4570	437	27	.	.	PROPN
easat-4570	437	28	7	7	NUM
easat-4570	437	29	,	,	PUNCT
easat-4570	437	30	pp	pp	ADJ
easat-4570	437	31	.	.	PUNCT
easat-4570	438	1	71	71	NUM
easat-4570	438	2	-	-	SYM
easat-4570	438	3	77	77	NUM
easat-4570	438	4	,	,	PUNCT
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easat-4570	438	6	.	.	PUNCT
easat-4570	439	1	https://doi.org/10.1007/bf03164571	https://doi.org/10.1007/bf03164571	PROPN
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easat-4570	440	2	43	43	NUM
easat-4570	440	3	]	]	PUNCT
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easat-4570	440	8	ploussi	ploussi	PROPN
easat-4570	440	9	,	,	PUNCT
easat-4570	440	10	"	"	PUNCT
easat-4570	440	11	filtering	filter	VERB
easat-4570	440	12	in	in	ADP
easat-4570	440	13	spect	spect	ADJ
easat-4570	440	14	image	image	NOUN
easat-4570	440	15	reconstruction	reconstruction	NOUN
easat-4570	440	16	,	,	PUNCT
easat-4570	440	17	"	"	PUNCT
easat-4570	440	18	international	international	ADJ
easat-4570	440	19	journal	journal	NOUN
easat-4570	440	20	of	of	ADP
easat-4570	440	21	biomedical	biomedical	ADJ
easat-4570	440	22	imaging	imaging	NOUN
easat-4570	440	23	,	,	PUNCT
easat-4570	440	24	vol	vol	NOUN
easat-4570	440	25	.	.	PROPN
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easat-4570	440	27	,	,	PUNCT
easat-4570	440	28	no	no	INTJ
easat-4570	440	29	.	.	NOUN
easat-4570	440	30	1	1	NUM
easat-4570	440	31	,	,	PUNCT
easat-4570	440	32	p.	p.	NOUN
easat-4570	440	33	693795	693795	NUM
easat-4570	440	34	,	,	PUNCT
easat-4570	440	35	2011	2011	NUM
easat-4570	440	36	.	.	PUNCT
easat-4570	441	1	https://doi.org/10.1155/2011/693795	https://doi.org/10.1155/2011/693795	PROPN
easat-4570	442	1	[	[	X
easat-4570	442	2	44	44	NUM
easat-4570	442	3	]	]	PUNCT
easat-4570	442	4	i.	i.	PROPN
easat-4570	442	5	mendieta	mendieta	PROPN
easat-4570	442	6	,	,	PUNCT
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easat-4570	442	16	anita	anita	PROPN
easat-4570	442	17	,	,	PUNCT
easat-4570	442	18	j.	j.	PROPN
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easat-4570	442	21	-	-	PROPN
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easat-4570	442	23	,	,	PUNCT
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easat-4570	442	27	alcocer	alcocer	NOUN
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easat-4570	442	29	and	and	CCONJ
easat-4570	442	30	l.	l.	PROPN
easat-4570	442	31	c.	c.	PROPN
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easat-4570	442	35	ultrastructural	ultrastructural	ADJ
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easat-4570	442	39	the	the	DET
easat-4570	442	40	neuroendocrine	neuroendocrine	ADJ
easat-4570	442	41	transdifferentiation	transdifferentiation	NOUN
easat-4570	442	42	of	of	ADP
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easat-4570	442	45	adenocarcinoma	adenocarcinoma	PROPN
easat-4570	442	46	cell	cell	NOUN
easat-4570	442	47	line	line	NOUN
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easat-4570	442	50	"	"	PUNCT
easat-4570	442	51	acta	acta	PROPN
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easat-4570	442	54	vol	vol	NOUN
easat-4570	442	55	.	.	PROPN
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easat-4570	442	57	,	,	PUNCT
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easat-4570	442	59	.	.	NOUN
easat-4570	442	60	8	8	NUM
easat-4570	442	61	,	,	PUNCT
easat-4570	442	62	p.	p.	NOUN
easat-4570	442	63	151797	151797	NUM
easat-4570	442	64	,	,	PUNCT
easat-4570	442	65	2021	2021	NUM
easat-4570	442	66	.	.	PUNCT
easat-4570	443	1	https://doi.org/10.1016/j.acthis.2021.151797	https://doi.org/10.1016/j.acthis.2021.151797	PROPN
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easat-4570	443	5	https://doi.org/10.1088/1742-6596/1964/7/072022	https://doi.org/10.1088/1742-6596/1964/7/072022	PROPN
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easat-4570	443	13	https://doi.org/10.1007/bf03164571	https://doi.org/10.1007/bf03164571	PROPN
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easat-4570	443	15	https://doi.org/10.1016/j.acthis.2021.151797	https://doi.org/10.1016/j.acthis.2021.151797	PROPN
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easat-4570	443	17	edelweiss	edelweiss	PROPN
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easat-4570	443	25	-	-	SYM
easat-4570	443	26	8484	8484	NUM
easat-4570	443	27	vol	vol	NOUN
easat-4570	443	28	.	.	PROPN
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easat-4570	444	2	,	,	PUNCT
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easat-4570	444	4	.	.	NOUN
easat-4570	444	5	2	2	NUM
easat-4570	444	6	:	:	PUNCT
easat-4570	444	7	682	682	NUM
easat-4570	444	8	-	-	SYM
easat-4570	444	9	707	707	NUM
easat-4570	444	10	,	,	PUNCT
easat-4570	444	11	2025	2025	NUM
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easat-4570	444	13	:	:	PUNCT
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easat-4570	444	16	2025	2025	NUM
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easat-4570	444	18	the	the	DET
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easat-4570	444	23	gate	gate	NOUN
easat-4570	445	1	[	[	X
easat-4570	445	2	45	45	NUM
easat-4570	445	3	]	]	PUNCT
easat-4570	445	4	i.	i.	PROPN
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easat-4570	445	6	et	et	PROPN
easat-4570	445	7	al	al	PROPN
easat-4570	445	8	.	.	PROPN
easat-4570	445	9	,	,	PUNCT
easat-4570	445	10	"	"	PUNCT
easat-4570	445	11	cytocompatibility	cytocompatibility	NOUN
easat-4570	445	12	of	of	ADP
easat-4570	445	13	graphene	graphene	NOUN
easat-4570	445	14	monolayer	monolayer	NOUN
easat-4570	445	15	and	and	CCONJ
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easat-4570	445	17	impact	impact	NOUN
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easat-4570	445	19	focal	focal	ADJ
easat-4570	445	20	cell	cell	NOUN
easat-4570	445	21	adhesion	adhesion	NOUN
easat-4570	445	22	,	,	PUNCT
easat-4570	445	23	mitochondrial	mitochondrial	ADJ
easat-4570	445	24	morphology	morphology	NOUN
easat-4570	445	25	and	and	CCONJ
easat-4570	445	26	activity	activity	NOUN
easat-4570	445	27	in	in	ADP
easat-4570	445	28	balb/3t3	balb/3t3	NOUN
easat-4570	445	29	fibroblasts	fibroblast	NOUN
easat-4570	445	30	,	,	PUNCT
easat-4570	445	31	"	"	PUNCT
easat-4570	445	32	materials	material	NOUN
easat-4570	445	33	,	,	PUNCT
easat-4570	445	34	vol	vol	NOUN
easat-4570	445	35	.	.	PROPN
easat-4570	446	1	14	14	NUM
easat-4570	446	2	,	,	PUNCT
easat-4570	446	3	no	no	INTJ
easat-4570	446	4	.	.	NOUN
easat-4570	446	5	3	3	NUM
easat-4570	446	6	,	,	PUNCT
easat-4570	446	7	p.	p.	NOUN
easat-4570	446	8	643	643	NUM
easat-4570	446	9	,	,	PUNCT
easat-4570	446	10	2021	2021	NUM
easat-4570	446	11	.	.	PUNCT
easat-4570	447	1	https://doi.org/10.3390/ma14030643	https://doi.org/10.3390/ma14030643	X
easat-4570	448	1	[	[	X
easat-4570	448	2	46	46	NUM
easat-4570	448	3	]	]	X
easat-4570	448	4	c.	c.	PROPN
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easat-4570	448	8	.	.	PROPN
easat-4570	448	9	,	,	PUNCT
easat-4570	448	10	"	"	PUNCT
easat-4570	448	11	controlling	control	VERB
easat-4570	448	12	incoming	incoming	ADJ
easat-4570	448	13	macrophages	macrophage	NOUN
easat-4570	448	14	to	to	ADP
easat-4570	448	15	implants	implant	NOUN
easat-4570	448	16	:	:	PUNCT
easat-4570	448	17	responsiveness	responsiveness	NOUN
easat-4570	448	18	of	of	ADP
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easat-4570	448	21	gelatin	gelatin	VERB
easat-4570	448	22	micropatterns	micropattern	NOUN
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easat-4570	448	24	m1	m1	PROPN
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easat-4570	448	26	m2	m2	PROPN
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easat-4570	448	30	stimulations	stimulation	NOUN
easat-4570	448	31	,	,	PUNCT
easat-4570	448	32	"	"	PUNCT
easat-4570	448	33	advanced	advanced	ADJ
easat-4570	448	34	biosystems	biosystem	NOUN
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easat-4570	448	39	,	,	PUNCT
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easat-4570	448	41	.	.	NOUN
easat-4570	448	42	6	6	NUM
easat-4570	448	43	,	,	PUNCT
easat-4570	448	44	p.	p.	NOUN
easat-4570	448	45	1700041	1700041	NUM
easat-4570	448	46	,	,	PUNCT
easat-4570	448	47	2017	2017	NUM
easat-4570	448	48	.	.	PUNCT
easat-4570	449	1	https://doi.org/10.1002/adbi.201700041	https://doi.org/10.1002/adbi.201700041	NOUN
easat-4570	450	1	[	[	X
easat-4570	450	2	47	47	NUM
easat-4570	450	3	]	]	PUNCT
easat-4570	450	4	a.	a.	NOUN
easat-4570	450	5	dogra	dogra	PROPN
easat-4570	450	6	and	and	CCONJ
easat-4570	450	7	p.	p.	PROPN
easat-4570	450	8	bhalla	bhalla	PROPN
easat-4570	450	9	,	,	PUNCT
easat-4570	450	10	"	"	PUNCT
easat-4570	450	11	image	image	NOUN
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easat-4570	450	17	high	high	ADJ
easat-4570	450	18	pass	pass	NOUN
easat-4570	450	19	filter	filter	NOUN
easat-4570	450	20	,	,	PUNCT
easat-4570	450	21	"	"	PUNCT
easat-4570	450	22	biomedical	biomedical	ADJ
easat-4570	450	23	and	and	CCONJ
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easat-4570	450	25	journal	journal	NOUN
easat-4570	450	26	,	,	PUNCT
easat-4570	450	27	vol	vol	NOUN
easat-4570	450	28	.	.	PROPN
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easat-4570	450	30	,	,	PUNCT
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easat-4570	450	33	2	2	NUM
easat-4570	450	34	,	,	PUNCT
easat-4570	450	35	pp	pp	ADJ
easat-4570	450	36	.	.	PUNCT
easat-4570	451	1	707	707	NUM
easat-4570	451	2	-	-	SYM
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easat-4570	451	4	,	,	PUNCT
easat-4570	451	5	2014	2014	NUM
easat-4570	451	6	.	.	PUNCT
easat-4570	452	1	https://doi.org/10.13005/bpj/545	https://doi.org/10.13005/bpj/545	X
easat-4570	453	1	[	[	X
easat-4570	453	2	48	48	NUM
easat-4570	453	3	]	]	PUNCT
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easat-4570	453	5	p.	p.	PROPN
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easat-4570	453	7	,	,	PUNCT
easat-4570	453	8	q.	q.	PROPN
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easat-4570	453	10	,	,	PUNCT
easat-4570	453	11	and	and	CCONJ
easat-4570	453	12	k.	k.	PROPN
easat-4570	453	13	r.	r.	PROPN
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easat-4570	453	15	,	,	PUNCT
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easat-4570	453	18	.	.	PUNCT
easat-4570	454	1	in	in	ADP
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easat-4570	455	1	academic	academic	ADJ
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easat-4570	456	1	https://doi.org/10.1016/b978-0-12-821048-9.00004-5	https://doi.org/10.1016/b978-0-12-821048-9.00004-5	PROPN
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easat-4570	457	10	"	"	PUNCT
easat-4570	457	11	a	a	DET
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easat-4570	457	17	in	in	ADP
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easat-4570	457	25	"	"	PUNCT
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easat-4570	457	30	.	.	PROPN
easat-4570	458	1	52	52	NUM
easat-4570	458	2	,	,	PUNCT
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easat-4570	458	6	,	,	PUNCT
easat-4570	458	7	pp	pp	ADJ
easat-4570	458	8	.	.	PUNCT
easat-4570	459	1	4543	4543	NUM
easat-4570	459	2	-	-	SYM
easat-4570	459	3	4581	4581	NUM
easat-4570	459	4	,	,	PUNCT
easat-4570	459	5	2022	2022	NUM
easat-4570	459	6	.	.	PUNCT
easat-4570	460	1	https://doi.org/10.1007/s10489-021-02680-3	https://doi.org/10.1007/s10489-021-02680-3	NUM
easat-4570	461	1	[	[	X
easat-4570	461	2	50	50	NUM
easat-4570	461	3	]	]	PUNCT
easat-4570	461	4	q.	q.	PROPN
easat-4570	461	5	guan	guan	PROPN
easat-4570	461	6	et	et	PROPN
easat-4570	461	7	al	al	PROPN
easat-4570	461	8	.	.	PROPN
easat-4570	461	9	,	,	PUNCT
easat-4570	461	10	"	"	PUNCT
easat-4570	461	11	deep	deep	ADJ
easat-4570	461	12	convolutional	convolutional	ADJ
easat-4570	461	13	neural	neural	ADJ
easat-4570	461	14	network	network	NOUN
easat-4570	461	15	inception	inception	PROPN
easat-4570	461	16	-	-	PUNCT
easat-4570	461	17	v3	v3	NOUN
easat-4570	461	18	model	model	NOUN
easat-4570	461	19	for	for	ADP
easat-4570	461	20	differential	differential	ADJ
easat-4570	461	21	diagnosing	diagnosing	NOUN
easat-4570	461	22	of	of	ADP
easat-4570	461	23	lymph	lymph	NOUN
easat-4570	461	24	node	node	NOUN
easat-4570	461	25	in	in	ADP
easat-4570	461	26	cytological	cytological	ADJ
easat-4570	461	27	images	image	NOUN
easat-4570	461	28	:	:	PUNCT
easat-4570	461	29	a	a	DET
easat-4570	461	30	pilot	pilot	NOUN
easat-4570	461	31	study	study	NOUN
easat-4570	461	32	,	,	PUNCT
easat-4570	461	33	"	"	PUNCT
easat-4570	461	34	annals	annals	NOUN
easat-4570	461	35	of	of	ADP
easat-4570	461	36	translational	translational	ADJ
easat-4570	461	37	medicine	medicine	NOUN
easat-4570	461	38	,	,	PUNCT
easat-4570	461	39	vol	vol	NOUN
easat-4570	461	40	.	.	PROPN
easat-4570	462	1	7	7	NUM
easat-4570	462	2	,	,	PUNCT
easat-4570	462	3	no	no	INTJ
easat-4570	462	4	.	.	NOUN
easat-4570	462	5	14	14	NUM
easat-4570	462	6	,	,	PUNCT
easat-4570	462	7	pp	pp	ADJ
easat-4570	462	8	.	.	PUNCT
easat-4570	463	1	1	1	NUM
easat-4570	463	2	-	-	SYM
easat-4570	463	3	9	9	NUM
easat-4570	463	4	,	,	PUNCT
easat-4570	463	5	2019	2019	NUM
easat-4570	463	6	.	.	PUNCT
easat-4570	464	1	https://doi.org/10.21037/atm.2019.06.29	https://doi.org/10.21037/atm.2019.06.29	NOUN
easat-4570	465	1	[	[	X
easat-4570	465	2	51	51	NUM
easat-4570	465	3	]	]	X
easat-4570	465	4	n.	n.	PROPN
easat-4570	465	5	dong	dong	PROPN
easat-4570	465	6	,	,	PUNCT
easat-4570	465	7	l.	l.	PROPN
easat-4570	465	8	zhao	zhao	PROPN
easat-4570	465	9	,	,	PUNCT
easat-4570	465	10	c.-h	c.-h	PROPN
easat-4570	465	11	.	.	PUNCT
easat-4570	466	1	wu	wu	PROPN
easat-4570	466	2	,	,	PUNCT
easat-4570	466	3	and	and	CCONJ
easat-4570	466	4	j.-f	j.-f	PROPN
easat-4570	466	5	.	.	PUNCT
easat-4570	467	1	chang	chang	PROPN
easat-4570	467	2	,	,	PUNCT
easat-4570	467	3	"	"	PUNCT
easat-4570	467	4	inception	inception	PROPN
easat-4570	467	5	v3	v3	PROPN
easat-4570	467	6	based	base	VERB
easat-4570	467	7	cervical	cervical	ADJ
easat-4570	467	8	cell	cell	NOUN
easat-4570	467	9	classification	classification	NOUN
easat-4570	467	10	combined	combine	VERB
easat-4570	467	11	with	with	ADP
easat-4570	467	12	artificially	artificially	ADV
easat-4570	467	13	extracted	extract	VERB
easat-4570	467	14	features	feature	NOUN
easat-4570	467	15	,	,	PUNCT
easat-4570	467	16	"	"	PUNCT
easat-4570	467	17	applied	apply	VERB
easat-4570	467	18	soft	soft	ADJ
easat-4570	467	19	computing	computing	NOUN
easat-4570	467	20	,	,	PUNCT
easat-4570	467	21	vol	vol	NOUN
easat-4570	467	22	.	.	PROPN
easat-4570	467	23	93	93	NUM
easat-4570	467	24	,	,	PUNCT
easat-4570	467	25	p.	p.	NOUN
easat-4570	467	26	106311	106311	NUM
easat-4570	467	27	,	,	PUNCT
easat-4570	467	28	2020	2020	NUM
easat-4570	467	29	.	.	PUNCT
easat-4570	468	1	https://doi.org/10.1016/j.asoc.2020.106311	https://doi.org/10.1016/j.asoc.2020.106311	NOUN
easat-4570	468	2	[	[	X
easat-4570	468	3	52	52	NUM
easat-4570	468	4	]	]	PUNCT
easat-4570	468	5	m.	m.	NOUN
easat-4570	468	6	z.	z.	PROPN
easat-4570	468	7	alom	alom	PROPN
easat-4570	468	8	,	,	PUNCT
easat-4570	468	9	c.	c.	PROPN
easat-4570	468	10	yakopcic	yakopcic	PROPN
easat-4570	468	11	,	,	PUNCT
easat-4570	468	12	m.	m.	NOUN
easat-4570	468	13	s.	s.	PROPN
easat-4570	468	14	nasrin	nasrin	PROPN
easat-4570	468	15	,	,	PUNCT
easat-4570	468	16	t.	t.	PROPN
easat-4570	468	17	m.	m.	PROPN
easat-4570	468	18	taha	taha	PROPN
easat-4570	468	19	,	,	PUNCT
easat-4570	468	20	and	and	CCONJ
easat-4570	468	21	v.	v.	PROPN
easat-4570	468	22	k.	k.	PROPN
easat-4570	468	23	asari	asari	PROPN
easat-4570	468	24	,	,	PUNCT
easat-4570	468	25	"	"	PUNCT
easat-4570	468	26	breast	breast	NOUN
easat-4570	468	27	cancer	cancer	NOUN
easat-4570	468	28	classification	classification	NOUN
easat-4570	468	29	from	from	ADP
easat-4570	468	30	histopathological	histopathological	ADJ
easat-4570	468	31	images	image	NOUN
easat-4570	468	32	with	with	ADP
easat-4570	468	33	inception	inception	ADJ
easat-4570	468	34	recurrent	recurrent	ADJ
easat-4570	468	35	residual	residual	ADJ
easat-4570	468	36	convolutional	convolutional	ADJ
easat-4570	468	37	neural	neural	ADJ
easat-4570	468	38	network	network	NOUN
easat-4570	468	39	,	,	PUNCT
easat-4570	468	40	"	"	PUNCT
easat-4570	468	41	journal	journal	NOUN
easat-4570	468	42	of	of	ADP
easat-4570	468	43	digital	digital	ADJ
easat-4570	468	44	imaging	imaging	NOUN
easat-4570	468	45	,	,	PUNCT
easat-4570	468	46	vol	vol	NOUN
easat-4570	468	47	.	.	PROPN
easat-4570	468	48	32	32	NUM
easat-4570	468	49	,	,	PUNCT
easat-4570	468	50	pp	pp	ADJ
easat-4570	468	51	.	.	PUNCT
easat-4570	469	1	605	605	NUM
easat-4570	469	2	-	-	SYM
easat-4570	469	3	617	617	NUM
easat-4570	469	4	,	,	PUNCT
easat-4570	469	5	2019	2019	NUM
easat-4570	469	6	.	.	PUNCT
easat-4570	470	1	https://doi.org/10.1007/s10278-019-00182-9	https://doi.org/10.1007/s10278-019-00182-9	NOUN
easat-4570	470	2	[	[	X
easat-4570	470	3	53	53	NUM
easat-4570	470	4	]	]	PUNCT
easat-4570	470	5	p.	p.	NOUN
easat-4570	470	6	khosravi	khosravi	PROPN
easat-4570	470	7	,	,	PUNCT
easat-4570	470	8	e.	e.	PROPN
easat-4570	470	9	kazemi	kazemi	PROPN
easat-4570	470	10	,	,	PUNCT
easat-4570	470	11	m.	m.	NOUN
easat-4570	470	12	imielinski	imielinski	PROPN
easat-4570	470	13	,	,	PUNCT
easat-4570	470	14	o.	o.	PROPN
easat-4570	470	15	elemento	elemento	PROPN
easat-4570	470	16	,	,	PUNCT
easat-4570	470	17	and	and	CCONJ
easat-4570	470	18	i.	i.	NOUN
easat-4570	470	19	hajirasouliha	hajirasouliha	PROPN
easat-4570	470	20	,	,	PUNCT
easat-4570	470	21	"	"	PUNCT
easat-4570	470	22	deep	deep	ADJ
easat-4570	470	23	convolutional	convolutional	ADJ
easat-4570	470	24	neural	neural	ADJ
easat-4570	470	25	networks	network	NOUN
easat-4570	470	26	enable	enable	VERB
easat-4570	470	27	discrimination	discrimination	NOUN
easat-4570	470	28	of	of	ADP
easat-4570	470	29	heterogeneous	heterogeneous	ADJ
easat-4570	470	30	digital	digital	ADJ
easat-4570	470	31	pathology	pathology	NOUN
easat-4570	470	32	images	image	NOUN
easat-4570	470	33	,	,	PUNCT
easat-4570	470	34	"	"	PUNCT
easat-4570	470	35	ebiomedicine	ebiomedicine	ADJ
easat-4570	470	36	,	,	PUNCT
easat-4570	470	37	vol	vol	NOUN
easat-4570	470	38	.	.	PROPN
easat-4570	471	1	27	27	NUM
easat-4570	471	2	,	,	PUNCT
easat-4570	471	3	pp	pp	ADJ
easat-4570	471	4	.	.	PUNCT
easat-4570	472	1	317	317	NUM
easat-4570	472	2	-	-	SYM
easat-4570	472	3	328	328	NUM
easat-4570	472	4	,	,	PUNCT
easat-4570	472	5	2018	2018	NUM
easat-4570	472	6	.	.	PUNCT
easat-4570	473	1	https://doi.org/10.1016/j.ebiom.2017.12.026	https://doi.org/10.1016/j.ebiom.2017.12.026	PROPN
easat-4570	474	1	[	[	X
easat-4570	474	2	54	54	NUM
easat-4570	474	3	]	]	PUNCT
easat-4570	474	4	b.	b.	PROPN
easat-4570	474	5	kieffer	kieffer	PROPN
easat-4570	474	6	,	,	PUNCT
easat-4570	474	7	m.	m.	PROPN
easat-4570	474	8	babaie	babaie	PROPN
easat-4570	474	9	,	,	PUNCT
easat-4570	474	10	s.	s.	PROPN
easat-4570	474	11	kalra	kalra	PROPN
easat-4570	474	12	,	,	PUNCT
easat-4570	474	13	and	and	CCONJ
easat-4570	474	14	h.	h.	PROPN
easat-4570	474	15	r.	r.	PROPN
easat-4570	474	16	tizhoosh	tizhoosh	PROPN
easat-4570	474	17	,	,	PUNCT
easat-4570	474	18	"	"	PUNCT
easat-4570	474	19	convolutional	convolutional	ADJ
easat-4570	474	20	neural	neural	ADJ
easat-4570	474	21	networks	network	NOUN
easat-4570	474	22	for	for	ADP
easat-4570	474	23	histopathology	histopathology	NOUN
easat-4570	474	24	image	image	NOUN
easat-4570	474	25	classification	classification	NOUN
easat-4570	474	26	:	:	PUNCT
easat-4570	474	27	training	training	NOUN
easat-4570	474	28	vs.	vs.	ADP
easat-4570	474	29	using	use	VERB
easat-4570	474	30	pre	pre	ADJ
easat-4570	474	31	-	-	ADJ
easat-4570	474	32	trained	train	VERB
easat-4570	474	33	networks	network	NOUN
easat-4570	474	34	,	,	PUNCT
easat-4570	474	35	"	"	PUNCT
easat-4570	474	36	presented	present	VERB
easat-4570	474	37	at	at	ADP
easat-4570	474	38	the	the	DET
easat-4570	474	39	2017	2017	NUM
easat-4570	474	40	seventh	seventh	ADJ
easat-4570	474	41	international	international	ADJ
easat-4570	474	42	conference	conference	NOUN
easat-4570	474	43	on	on	ADP
easat-4570	474	44	image	image	NOUN
easat-4570	474	45	processing	processing	NOUN
easat-4570	474	46	theory	theory	NOUN
easat-4570	474	47	,	,	PUNCT
easat-4570	474	48	tools	tool	NOUN
easat-4570	474	49	and	and	CCONJ
easat-4570	474	50	applications	application	NOUN
easat-4570	474	51	(	(	PUNCT
easat-4570	474	52	ipta	ipta	NOUN
easat-4570	474	53	)	)	PUNCT
easat-4570	474	54	,	,	PUNCT
easat-4570	474	55	2017	2017	NUM
easat-4570	474	56	.	.	PUNCT
easat-4570	475	1	[	[	X
easat-4570	475	2	55	55	NUM
easat-4570	475	3	]	]	X
easat-4570	475	4	c.	c.	PROPN
easat-4570	475	5	a.	a.	PROPN
easat-4570	475	6	ferreira	ferreira	PROPN
easat-4570	475	7	et	et	PROPN
easat-4570	475	8	al	al	PROPN
easat-4570	475	9	.	.	PROPN
easat-4570	475	10	,	,	PUNCT
easat-4570	475	11	"	"	PUNCT
easat-4570	475	12	classification	classification	NOUN
easat-4570	475	13	of	of	ADP
easat-4570	475	14	breast	breast	NOUN
easat-4570	475	15	cancer	cancer	NOUN
easat-4570	475	16	histology	histology	NOUN
easat-4570	475	17	images	image	VERB
easat-4570	475	18	through	through	ADP
easat-4570	475	19	transfer	transfer	NOUN
easat-4570	475	20	learning	learning	NOUN
easat-4570	475	21	using	use	VERB
easat-4570	475	22	a	a	DET
easat-4570	475	23	pre	pre	ADJ
easat-4570	475	24	-	-	ADJ
easat-4570	475	25	trained	train	VERB
easat-4570	475	26	inception	inception	NOUN
easat-4570	475	27	resnet	resnet	NOUN
easat-4570	475	28	v2	v2	PROPN
easat-4570	475	29	,	,	PUNCT
easat-4570	475	30	"	"	PUNCT
easat-4570	475	31	presented	present	VERB
easat-4570	475	32	at	at	ADP
easat-4570	475	33	the	the	DET
easat-4570	475	34	international	international	ADJ
easat-4570	475	35	conference	conference	NOUN
easat-4570	475	36	image	image	NOUN
easat-4570	475	37	analysis	analysis	NOUN
easat-4570	475	38	and	and	CCONJ
easat-4570	475	39	recognition	recognition	NOUN
easat-4570	475	40	,	,	PUNCT
easat-4570	475	41	springer	springer	NOUN
easat-4570	475	42	international	international	ADJ
easat-4570	475	43	publishing	publishing	NOUN
easat-4570	475	44	,	,	PUNCT
easat-4570	475	45	2018	2018	NUM
easat-4570	475	46	.	.	PUNCT
easat-4570	476	1	[	[	X
easat-4570	476	2	56	56	NUM
easat-4570	476	3	]	]	X
easat-4570	476	4	d.	d.	PROPN
easat-4570	476	5	arifianto	arifianto	PROPN
easat-4570	476	6	and	and	CCONJ
easat-4570	476	7	a.	a.	PROPN
easat-4570	476	8	s.	s.	PROPN
easat-4570	476	9	agoes	agoes	PROPN
easat-4570	476	10	,	,	PUNCT
easat-4570	476	11	"	"	PUNCT
easat-4570	476	12	cervical	cervical	ADJ
easat-4570	476	13	cancer	cancer	NOUN
easat-4570	476	14	image	image	NOUN
easat-4570	476	15	classification	classification	NOUN
easat-4570	476	16	using	use	VERB
easat-4570	476	17	cnn	cnn	PROPN
easat-4570	476	18	transfer	transfer	NOUN
easat-4570	476	19	learning	learning	NOUN
easat-4570	476	20	,	,	PUNCT
easat-4570	476	21	"	"	PUNCT
easat-4570	476	22	presented	present	VERB
easat-4570	476	23	at	at	ADP
easat-4570	476	24	the	the	DET
easat-4570	476	25	2nd	2nd	ADJ
easat-4570	476	26	international	international	ADJ
easat-4570	476	27	seminar	seminar	NOUN
easat-4570	476	28	of	of	ADP
easat-4570	476	29	science	science	NOUN
easat-4570	476	30	and	and	CCONJ
easat-4570	476	31	applied	apply	VERB
easat-4570	476	32	technology	technology	NOUN
easat-4570	476	33	(	(	PUNCT
easat-4570	476	34	issat	issat	NOUN
easat-4570	476	35	2021	2021	NUM
easat-4570	476	36	)	)	PUNCT
easat-4570	476	37	,	,	PUNCT
easat-4570	476	38	atlantis	atlantis	PROPN
easat-4570	476	39	press	press	NOUN
easat-4570	476	40	,	,	PUNCT
easat-4570	476	41	2021	2021	NUM
easat-4570	476	42	.	.	PUNCT
easat-4570	477	1	[	[	X
easat-4570	477	2	57	57	NUM
easat-4570	477	3	]	]	PUNCT
easat-4570	477	4	k.	k.	PROPN
easat-4570	477	5	nakamichi	nakamichi	PROPN
easat-4570	477	6	,	,	PUNCT
easat-4570	477	7	h.	h.	PROPN
easat-4570	477	8	lu	lu	PROPN
easat-4570	477	9	,	,	PUNCT
easat-4570	477	10	h.	h.	PROPN
easat-4570	477	11	kim	kim	PROPN
easat-4570	477	12	,	,	PUNCT
easat-4570	477	13	k.	k.	PROPN
easat-4570	477	14	yoneda	yoneda	PROPN
easat-4570	477	15	,	,	PUNCT
easat-4570	477	16	and	and	CCONJ
easat-4570	477	17	f.	f.	PROPN
easat-4570	477	18	tanaka	tanaka	PROPN
easat-4570	477	19	,	,	PUNCT
easat-4570	477	20	"	"	PUNCT
easat-4570	477	21	classification	classification	NOUN
easat-4570	477	22	of	of	ADP
easat-4570	477	23	circulating	circulate	VERB
easat-4570	477	24	tumor	tumor	NOUN
easat-4570	477	25	cells	cell	NOUN
easat-4570	477	26	in	in	ADP
easat-4570	477	27	fluorescence	fluorescence	NOUN
easat-4570	477	28	microscopy	microscopy	NOUN
easat-4570	477	29	images	image	NOUN
easat-4570	477	30	based	base	VERB
easat-4570	477	31	on	on	ADP
easat-4570	477	32	squeezenet	squeezenet	NOUN
easat-4570	477	33	,	,	PUNCT
easat-4570	477	34	"	"	PUNCT
easat-4570	477	35	presented	present	VERB
easat-4570	477	36	at	at	ADP
easat-4570	477	37	the	the	DET
easat-4570	477	38	2019	2019	NUM
easat-4570	477	39	19th	19th	ADJ
easat-4570	477	40	international	international	ADJ
easat-4570	477	41	conference	conference	NOUN
easat-4570	477	42	on	on	ADP
easat-4570	477	43	control	control	NOUN
easat-4570	477	44	,	,	PUNCT
easat-4570	477	45	automation	automation	NOUN
easat-4570	477	46	and	and	CCONJ
easat-4570	477	47	systems	system	NOUN
easat-4570	477	48	(	(	PUNCT
easat-4570	477	49	iccas	iccas	PROPN
easat-4570	477	50	)	)	PUNCT
easat-4570	477	51	,	,	PUNCT
easat-4570	477	52	ieee	ieee	NOUN
easat-4570	477	53	,	,	PUNCT
easat-4570	477	54	2019	2019	NUM
easat-4570	477	55	.	.	PUNCT
easat-4570	478	1	[	[	X
easat-4570	478	2	58	58	NUM
easat-4570	478	3	]	]	X
easat-4570	478	4	e.	e.	PROPN
easat-4570	478	5	başaran	başaran	PROPN
easat-4570	478	6	,	,	PUNCT
easat-4570	478	7	"	"	PUNCT
easat-4570	478	8	classification	classification	NOUN
easat-4570	478	9	of	of	ADP
easat-4570	478	10	white	white	ADJ
easat-4570	478	11	blood	blood	NOUN
easat-4570	478	12	cells	cell	NOUN
easat-4570	478	13	with	with	ADP
easat-4570	478	14	svm	svm	NOUN
easat-4570	478	15	by	by	ADP
easat-4570	478	16	selecting	select	VERB
easat-4570	478	17	squeezenet	squeezenet	NOUN
easat-4570	478	18	and	and	CCONJ
easat-4570	478	19	lime	lime	NOUN
easat-4570	478	20	properties	property	NOUN
easat-4570	478	21	by	by	ADP
easat-4570	478	22	mrmr	mrmr	PROPN
easat-4570	478	23	method	method	NOUN
easat-4570	478	24	,	,	PUNCT
easat-4570	478	25	"	"	PUNCT
easat-4570	478	26	signal	signal	NOUN
easat-4570	478	27	,	,	PUNCT
easat-4570	478	28	image	image	NOUN
easat-4570	478	29	and	and	CCONJ
easat-4570	478	30	video	video	NOUN
easat-4570	478	31	processing	processing	NOUN
easat-4570	478	32	,	,	PUNCT
easat-4570	478	33	vol	vol	NOUN
easat-4570	478	34	.	.	PROPN
easat-4570	478	35	16	16	NUM
easat-4570	478	36	,	,	PUNCT
easat-4570	478	37	no	no	INTJ
easat-4570	478	38	.	.	NOUN
easat-4570	478	39	7	7	NUM
easat-4570	478	40	,	,	PUNCT
easat-4570	478	41	pp	pp	ADJ
easat-4570	478	42	.	.	PUNCT
easat-4570	479	1	1821	1821	NUM
easat-4570	479	2	-	-	SYM
easat-4570	479	3	1829	1829	NUM
easat-4570	479	4	,	,	PUNCT
easat-4570	479	5	2022	2022	NUM
easat-4570	479	6	.	.	PUNCT
easat-4570	480	1	https://doi.org/10.1007/s11760022-02141-2	https://doi.org/10.1007/s11760022-02141-2	PROPN
easat-4570	480	2	[	[	X
easat-4570	480	3	59	59	NUM
easat-4570	480	4	]	]	PUNCT
easat-4570	480	5	a.	a.	PROPN
easat-4570	480	6	s.	s.	PROPN
easat-4570	480	7	agoes	agoes	PROPN
easat-4570	480	8	,	,	PUNCT
easat-4570	480	9	z.	z.	PROPN
easat-4570	480	10	hu	hu	PROPN
easat-4570	480	11	,	,	PUNCT
easat-4570	480	12	and	and	CCONJ
easat-4570	480	13	n.	n.	PROPN
easat-4570	480	14	matsunaga	matsunaga	NOUN
easat-4570	480	15	,	,	PUNCT
easat-4570	480	16	"	"	PUNCT
easat-4570	480	17	fine	fine	ADJ
easat-4570	480	18	tuning	tuning	NOUN
easat-4570	480	19	based	base	VERB
easat-4570	480	20	squeezenet	squeezenet	NOUN
easat-4570	480	21	for	for	ADP
easat-4570	480	22	vehicle	vehicle	NOUN
easat-4570	480	23	classification	classification	NOUN
easat-4570	480	24	,	,	PUNCT
easat-4570	480	25	"	"	PUNCT
easat-4570	480	26	in	in	ADP
easat-4570	480	27	proceedings	proceeding	NOUN
easat-4570	480	28	of	of	ADP
easat-4570	480	29	the	the	DET
easat-4570	480	30	international	international	ADJ
easat-4570	480	31	conference	conference	NOUN
easat-4570	480	32	on	on	ADP
easat-4570	480	33	advances	advance	NOUN
easat-4570	480	34	in	in	ADP
easat-4570	480	35	image	image	NOUN
easat-4570	480	36	processing	processing	NOUN
easat-4570	480	37	,	,	PUNCT
easat-4570	480	38	2017	2017	NUM
easat-4570	480	39	,	,	PUNCT
easat-4570	480	40	pp	pp	ADJ
easat-4570	480	41	.	.	PUNCT
easat-4570	481	1	14	14	NUM
easat-4570	481	2	-	-	SYM
easat-4570	481	3	18	18	NUM
easat-4570	481	4	,	,	PUNCT
easat-4570	481	5	doi	doi	NOUN
easat-4570	481	6	:	:	PUNCT
easat-4570	481	7	https://doi.org/10.1145/3133264.3133270	https://doi.org/10.1145/3133264.3133270	NOUN
easat-4570	481	8	.	.	PUNCT
easat-4570	482	1	[	[	X
easat-4570	482	2	60	60	NUM
easat-4570	482	3	]	]	PUNCT
easat-4570	482	4	k.	k.	PROPN
easat-4570	482	5	simonyan	simonyan	PROPN
easat-4570	482	6	and	and	CCONJ
easat-4570	482	7	a.	a.	NOUN
easat-4570	482	8	zisserman	zisserman	PROPN
easat-4570	482	9	,	,	PUNCT
easat-4570	482	10	"	"	PUNCT
easat-4570	482	11	very	very	ADV
easat-4570	482	12	deep	deep	ADJ
easat-4570	482	13	convolutional	convolutional	ADJ
easat-4570	482	14	networks	network	NOUN
easat-4570	482	15	for	for	ADP
easat-4570	482	16	large	large	ADJ
easat-4570	482	17	-	-	PUNCT
easat-4570	482	18	scale	scale	NOUN
easat-4570	482	19	image	image	NOUN
easat-4570	482	20	recognition	recognition	NOUN
easat-4570	482	21	,	,	PUNCT
easat-4570	482	22	"	"	PUNCT
easat-4570	482	23	arxiv	arxiv	PROPN
easat-4570	482	24	preprint	preprint	NOUN
easat-4570	482	25	arxiv:1409.1556	arxiv:1409.1556	NOUN
easat-4570	482	26	,	,	PUNCT
easat-4570	482	27	2014	2014	NUM
easat-4570	482	28	.	.	PUNCT
easat-4570	483	1	[	[	X
easat-4570	483	2	61	61	NUM
easat-4570	483	3	]	]	X
easat-4570	483	4	c.	c.	PROPN
easat-4570	483	5	sitaula	sitaula	PROPN
easat-4570	483	6	and	and	CCONJ
easat-4570	483	7	m.	m.	PROPN
easat-4570	483	8	b.	b.	PROPN
easat-4570	483	9	hossain	hossain	PROPN
easat-4570	483	10	,	,	PUNCT
easat-4570	483	11	"	"	PUNCT
easat-4570	483	12	attention	attention	NOUN
easat-4570	483	13	-	-	PUNCT
easat-4570	483	14	based	base	VERB
easat-4570	483	15	vgg-16	vgg-16	NOUN
easat-4570	483	16	model	model	NOUN
easat-4570	483	17	for	for	ADP
easat-4570	483	18	covid-19	covid-19	PROPN
easat-4570	483	19	chest	chest	NOUN
easat-4570	483	20	x	x	NOUN
easat-4570	483	21	-	-	NOUN
easat-4570	483	22	ray	ray	NOUN
easat-4570	483	23	image	image	NOUN
easat-4570	483	24	classification	classification	NOUN
easat-4570	483	25	,	,	PUNCT
easat-4570	483	26	"	"	PUNCT
easat-4570	483	27	applied	apply	VERB
easat-4570	483	28	intelligence	intelligence	NOUN
easat-4570	483	29	,	,	PUNCT
easat-4570	483	30	vol	vol	NOUN
easat-4570	483	31	.	.	PROPN
easat-4570	484	1	51	51	NUM
easat-4570	484	2	,	,	PUNCT
easat-4570	484	3	no	no	INTJ
easat-4570	484	4	.	.	NOUN
easat-4570	484	5	5	5	NUM
easat-4570	484	6	,	,	PUNCT
easat-4570	484	7	pp	pp	ADJ
easat-4570	484	8	.	.	PUNCT
easat-4570	485	1	2850	2850	NUM
easat-4570	485	2	-	-	SYM
easat-4570	485	3	2863	2863	NUM
easat-4570	485	4	,	,	PUNCT
easat-4570	485	5	2021	2021	NUM
easat-4570	485	6	.	.	PUNCT
easat-4570	486	1	https://doi.org/10.1007/s10489-020-02055-x	https://doi.org/10.1007/s10489-020-02055-x	VERB
easat-4570	487	1	[	[	X
easat-4570	487	2	62	62	NUM
easat-4570	487	3	]	]	PUNCT
easat-4570	487	4	e.	e.	PROPN
easat-4570	487	5	gavas	gavas	PROPN
easat-4570	487	6	and	and	CCONJ
easat-4570	487	7	k.	k.	PROPN
easat-4570	487	8	olpadkar	olpadkar	PROPN
easat-4570	487	9	,	,	PUNCT
easat-4570	487	10	"	"	PUNCT
easat-4570	487	11	deep	deep	ADJ
easat-4570	487	12	cnns	cnn	NOUN
easat-4570	487	13	for	for	ADP
easat-4570	487	14	peripheral	peripheral	ADJ
easat-4570	487	15	blood	blood	NOUN
easat-4570	487	16	cell	cell	NOUN
easat-4570	487	17	classification	classification	NOUN
easat-4570	487	18	,	,	PUNCT
easat-4570	487	19	"	"	PUNCT
easat-4570	487	20	arxiv	arxiv	PROPN
easat-4570	487	21	preprint	preprint	VERB
easat-4570	487	22	arxiv:2110.09508	arxiv:2110.09508	NOUN
easat-4570	487	23	,	,	PUNCT
easat-4570	487	24	2021	2021	NUM
easat-4570	487	25	.	.	PUNCT
easat-4570	488	1	https://doi.org/10.48550/arxiv.2110.09508	https://doi.org/10.48550/arxiv.2110.09508	PROPN
easat-4570	488	2	[	[	PUNCT
easat-4570	488	3	63	63	NUM
easat-4570	488	4	]	]	PUNCT
easat-4570	488	5	d.	d.	PROPN
easat-4570	488	6	albashish	albashish	PROPN
easat-4570	488	7	,	,	PUNCT
easat-4570	488	8	r.	r.	PROPN
easat-4570	488	9	al	al	PROPN
easat-4570	488	10	-	-	PUNCT
easat-4570	488	11	sayyed	sayyed	PROPN
easat-4570	488	12	,	,	PUNCT
easat-4570	488	13	a.	a.	PROPN
easat-4570	488	14	abdullah	abdullah	PROPN
easat-4570	488	15	,	,	PUNCT
easat-4570	488	16	m.	m.	NOUN
easat-4570	488	17	h.	h.	PROPN
easat-4570	488	18	ryalat	ryalat	PROPN
easat-4570	488	19	,	,	PUNCT
easat-4570	488	20	and	and	CCONJ
easat-4570	488	21	n.	n.	PROPN
easat-4570	488	22	a.	a.	NOUN
easat-4570	488	23	almansour	almansour	PROPN
easat-4570	488	24	,	,	PUNCT
easat-4570	488	25	"	"	PUNCT
easat-4570	488	26	deep	deep	ADJ
easat-4570	488	27	cnn	cnn	PROPN
easat-4570	488	28	model	model	NOUN
easat-4570	488	29	based	base	VERB
easat-4570	488	30	on	on	ADP
easat-4570	488	31	vgg16	vgg16	PROPN
easat-4570	488	32	for	for	ADP
easat-4570	488	33	breast	breast	NOUN
easat-4570	488	34	cancer	cancer	NOUN
easat-4570	488	35	classification	classification	NOUN
easat-4570	488	36	,	,	PUNCT
easat-4570	488	37	"	"	PUNCT
easat-4570	488	38	presented	present	VERB
easat-4570	488	39	at	at	ADP
easat-4570	488	40	the	the	DET
easat-4570	488	41	2021	2021	NUM
easat-4570	488	42	international	international	ADJ
easat-4570	488	43	conference	conference	NOUN
easat-4570	488	44	on	on	ADP
easat-4570	488	45	information	information	NOUN
easat-4570	488	46	technology	technology	NOUN
easat-4570	488	47	(	(	PUNCT
easat-4570	488	48	icit	icit	PROPN
easat-4570	488	49	)	)	PUNCT
easat-4570	488	50	,	,	PUNCT
easat-4570	488	51	ieee	ieee	PROPN
easat-4570	488	52	.	.	PROPN
easat-4570	488	53	,	,	PUNCT
easat-4570	488	54	2021	2021	NUM
easat-4570	488	55	.	.	PUNCT
easat-4570	489	1	[	[	X
easat-4570	489	2	64	64	NUM
easat-4570	489	3	]	]	PUNCT
easat-4570	489	4	t.	t.	PROPN
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easat-4570	489	6	and	and	CCONJ
easat-4570	489	7	t.	t.	PROPN
easat-4570	489	8	k.	k.	PROPN
easat-4570	489	9	gandhi	gandhi	PROPN
easat-4570	489	10	,	,	PUNCT
easat-4570	489	11	"	"	PUNCT
easat-4570	489	12	automated	automate	VERB
easat-4570	489	13	brain	brain	NOUN
easat-4570	489	14	image	image	NOUN
easat-4570	489	15	classification	classification	NOUN
easat-4570	489	16	based	base	VERB
easat-4570	489	17	on	on	ADP
easat-4570	489	18	vgg-16	vgg-16	NOUN
easat-4570	489	19	and	and	CCONJ
easat-4570	489	20	transfer	transfer	NOUN
easat-4570	489	21	learning	learning	NOUN
easat-4570	489	22	,	,	PUNCT
easat-4570	489	23	"	"	PUNCT
easat-4570	489	24	presented	present	VERB
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easat-4570	489	26	the	the	DET
easat-4570	489	27	2019	2019	NUM
easat-4570	489	28	international	international	ADJ
easat-4570	489	29	conference	conference	NOUN
easat-4570	489	30	on	on	ADP
easat-4570	489	31	information	information	NOUN
easat-4570	489	32	technology	technology	NOUN
easat-4570	489	33	(	(	PUNCT
easat-4570	489	34	icit	icit	PROPN
easat-4570	489	35	)	)	PUNCT
easat-4570	489	36	,	,	PUNCT
easat-4570	489	37	ieee	ieee	NOUN
easat-4570	489	38	,	,	PUNCT
easat-4570	489	39	2019	2019	NUM
easat-4570	489	40	.	.	PUNCT
easat-4570	490	1	[	[	X
easat-4570	490	2	65	65	NUM
easat-4570	490	3	]	]	X
easat-4570	490	4	r.	r.	PROPN
easat-4570	490	5	b.	b.	PROPN
easat-4570	490	6	pereira	pereira	PROPN
easat-4570	490	7	,	,	PUNCT
easat-4570	490	8	a.	a.	PROPN
easat-4570	490	9	p.	p.	PROPN
easat-4570	490	10	d.	d.	PROPN
easat-4570	490	11	carvalho	carvalho	PROPN
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easat-4570	490	13	b.	b.	PROPN
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easat-4570	490	15	,	,	PUNCT
easat-4570	490	16	and	and	CCONJ
easat-4570	490	17	l.	l.	PROPN
easat-4570	490	18	h.	h.	PROPN
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easat-4570	490	21	,	,	PUNCT
easat-4570	490	22	"	"	PUNCT
easat-4570	490	23	information	information	NOUN
easat-4570	490	24	gain	gain	VERB
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easat-4570	490	26	selection	selection	NOUN
easat-4570	490	27	for	for	ADP
easat-4570	490	28	multi	multi	ADJ
easat-4570	490	29	-	-	ADJ
easat-4570	490	30	label	label	ADJ
easat-4570	490	31	classification	classification	NOUN
easat-4570	490	32	,	,	PUNCT
easat-4570	490	33	"	"	PUNCT
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easat-4570	490	35	of	of	ADP
easat-4570	490	36	information	information	NOUN
easat-4570	490	37	and	and	CCONJ
easat-4570	490	38	data	datum	NOUN
easat-4570	490	39	management	management	NOUN
easat-4570	490	40	,	,	PUNCT
easat-4570	490	41	vol	vol	NOUN
easat-4570	490	42	.	.	PROPN
easat-4570	491	1	6	6	NUM
easat-4570	491	2	,	,	PUNCT
easat-4570	491	3	no	no	INTJ
easat-4570	491	4	.	.	NOUN
easat-4570	491	5	1	1	NUM
easat-4570	491	6	,	,	PUNCT
easat-4570	491	7	2015	2015	NUM
easat-4570	491	8	.	.	PUNCT
easat-4570	492	1	https://doi.org/10.5753/jidm.2015.294	https://doi.org/10.5753/jidm.2015.294	NOUN
easat-4570	492	2	[	[	X
easat-4570	492	3	66	66	NUM
easat-4570	492	4	]	]	PUNCT
easat-4570	492	5	g.	g.	PROPN
easat-4570	492	6	guo	guo	PROPN
easat-4570	492	7	,	,	PUNCT
easat-4570	492	8	h.	h.	PROPN
easat-4570	492	9	wang	wang	PROPN
easat-4570	492	10	,	,	PUNCT
easat-4570	492	11	d.	d.	PROPN
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easat-4570	492	13	,	,	PUNCT
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easat-4570	492	15	bi	bi	PROPN
easat-4570	492	16	,	,	PUNCT
easat-4570	492	17	and	and	CCONJ
easat-4570	492	18	k.	k.	PROPN
easat-4570	492	19	greer	greer	PROPN
easat-4570	492	20	,	,	PUNCT
easat-4570	492	21	"	"	PUNCT
easat-4570	492	22	knn	knn	PROPN
easat-4570	492	23	model	model	NOUN
easat-4570	492	24	-	-	PUNCT
easat-4570	492	25	based	base	VERB
easat-4570	492	26	approach	approach	NOUN
easat-4570	492	27	in	in	ADP
easat-4570	492	28	classification	classification	NOUN
easat-4570	492	29	,	,	PUNCT
easat-4570	492	30	"	"	PUNCT
easat-4570	492	31	in	in	ADP
easat-4570	492	32	on	on	ADP
easat-4570	492	33	the	the	DET
easat-4570	492	34	move	move	NOUN
easat-4570	492	35	to	to	ADP
easat-4570	492	36	meaningful	meaningful	ADJ
easat-4570	492	37	internet	internet	NOUN
easat-4570	492	38	systems	system	NOUN
easat-4570	492	39	2003	2003	NUM
easat-4570	492	40	:	:	PUNCT
easat-4570	492	41	coopis	coopis	PROPN
easat-4570	492	42	,	,	PUNCT
easat-4570	492	43	doa	doa	NOUN
easat-4570	492	44	,	,	PUNCT
easat-4570	492	45	and	and	CCONJ
easat-4570	492	46	odbase	odbase	NOUN
easat-4570	492	47	:	:	PUNCT
easat-4570	492	48	otm	otm	NOUN
easat-4570	492	49	confederated	confederate	VERB
easat-4570	492	50	international	international	ADJ
easat-4570	492	51	conferences	conference	NOUN
easat-4570	492	52	,	,	PUNCT
easat-4570	492	53	coopis	coopis	NOUN
easat-4570	492	54	,	,	PUNCT
easat-4570	492	55	doa	doa	NOUN
easat-4570	492	56	,	,	PUNCT
easat-4570	492	57	and	and	CCONJ
easat-4570	492	58	odbase	odbase	NOUN
easat-4570	492	59	2003	2003	NUM
easat-4570	492	60	,	,	PUNCT
easat-4570	492	61	catania	catania	PROPN
easat-4570	492	62	,	,	PUNCT
easat-4570	492	63	sicily	sicily	ADV
easat-4570	492	64	,	,	PUNCT
easat-4570	492	65	italy	italy	PROPN
easat-4570	492	66	,	,	PUNCT
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easat-4570	492	68	3	3	NUM
easat-4570	492	69	-	-	SYM
easat-4570	492	70	7	7	NUM
easat-4570	492	71	,	,	PUNCT
easat-4570	492	72	2003	2003	NUM
easat-4570	492	73	.	.	PUNCT
easat-4570	493	1	proceedings	proceeding	NOUN
easat-4570	493	2	,	,	PUNCT
easat-4570	493	3	springer	springer	NOUN
easat-4570	493	4	berlin	berlin	PROPN
easat-4570	493	5	heidelberg	heidelberg	PROPN
easat-4570	493	6	,	,	PUNCT
easat-4570	493	7	2003	2003	NUM
easat-4570	493	8	,	,	PUNCT
easat-4570	493	9	pp	pp	ADP
easat-4570	493	10	.	.	PUNCT
easat-4570	494	1	986	986	NUM
easat-4570	494	2	-	-	SYM
easat-4570	494	3	996	996	NUM
easat-4570	494	4	,	,	PUNCT
easat-4570	494	5	doi	doi	NOUN
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easat-4570	495	25	-	-	SYM
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easat-4570	496	6	:	:	PUNCT
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easat-4570	496	8	-	-	SYM
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easat-4570	496	10	,	,	PUNCT
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easat-4570	496	13	:	:	PUNCT
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easat-4570	497	2	67	67	NUM
easat-4570	497	3	]	]	PUNCT
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easat-4570	497	5	.	.	PUNCT
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easat-4570	497	29	.	.	PROPN
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easat-4570	497	34	2	2	NUM
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easat-4570	497	38	,	,	PUNCT
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easat-4570	497	40	.	.	PUNCT
easat-4570	498	1	https://doi.org/10.11919/j.issn.1002-0829.215044	https://doi.org/10.11919/j.issn.1002-0829.215044	PROPN
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easat-4570	499	2	68	68	NUM
easat-4570	499	3	]	]	PUNCT
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easat-4570	499	19	.	.	PROPN
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easat-4570	500	6	,	,	PUNCT
easat-4570	500	7	pp	pp	ADJ
easat-4570	500	8	.	.	PUNCT
easat-4570	501	1	31	31	NUM
easat-4570	501	2	-	-	SYM
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easat-4570	501	4	,	,	PUNCT
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easat-4570	501	6	.	.	PUNCT
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easat-4570	503	1	[	[	X
easat-4570	503	2	69	69	NUM
easat-4570	503	3	]	]	PUNCT
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easat-4570	504	4	:	:	PUNCT
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easat-4570	505	8	.	.	PUNCT
easat-4570	506	1	https://doi.org/10.1007/978-3-642-41136-6_5	https://doi.org/10.1007/978-3-642-41136-6_5	PROPN
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easat-4570	507	3	]	]	X
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easat-4570	508	1	crc	crc	PROPN
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easat-4570	509	1	https://doi.org/10.1201/9781315271646	https://doi.org/10.1201/9781315271646	NOUN
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easat-4570	513	1	https://doi.org/10.1007/978-0-387-30164-8_5	https://doi.org/10.1007/978-0-387-30164-8_5	X
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easat-4570	523	18	alzheimer	alzheimer	PROPN
easat-4570	523	19	's	's	PART
easat-4570	523	20	magnetic	magnetic	ADJ
easat-4570	523	21	resonance	resonance	NOUN
easat-4570	523	22	imaging	image	VERB
easat-4570	523	23	classification	classification	NOUN
easat-4570	523	24	using	use	VERB
easat-4570	523	25	deep	deep	ADJ
easat-4570	523	26	and	and	CCONJ
easat-4570	523	27	meta	meta	ADJ
easat-4570	523	28	-	-	PUNCT
easat-4570	523	29	learning	learn	VERB
easat-4570	523	30	models	model	NOUN
easat-4570	523	31	,	,	PUNCT
easat-4570	523	32	"	"	PUNCT
easat-4570	523	33	arxiv	arxiv	PROPN
easat-4570	523	34	preprint	preprint	NOUN
easat-4570	523	35	arxiv:2405.12126	arxiv:2405.12126	NOUN
easat-4570	523	36	,	,	PUNCT
easat-4570	523	37	2024	2024	NUM
easat-4570	523	38	.	.	PUNCT
easat-4570	524	1	[	[	X
easat-4570	524	2	75	75	NUM
easat-4570	524	3	]	]	PUNCT
easat-4570	524	4	w.	w.	PROPN
easat-4570	524	5	liu	liu	PROPN
easat-4570	524	6	and	and	CCONJ
easat-4570	524	7	i.	i.	PROPN
easat-4570	524	8	w.	w.	PROPN
easat-4570	524	9	tsang	tsang	PROPN
easat-4570	524	10	,	,	PUNCT
easat-4570	524	11	"	"	PUNCT
easat-4570	524	12	making	make	VERB
easat-4570	524	13	decision	decision	NOUN
easat-4570	524	14	trees	tree	NOUN
easat-4570	524	15	feasible	feasible	ADJ
easat-4570	524	16	in	in	ADP
easat-4570	524	17	ultrahigh	ultrahigh	ADJ
easat-4570	524	18	feature	feature	NOUN
easat-4570	524	19	and	and	CCONJ
easat-4570	524	20	label	label	NOUN
easat-4570	524	21	dimensions	dimension	NOUN
easat-4570	524	22	,	,	PUNCT
easat-4570	524	23	"	"	PUNCT
easat-4570	524	24	journal	journal	NOUN
easat-4570	524	25	of	of	ADP
easat-4570	524	26	machine	machine	NOUN
easat-4570	524	27	learning	learn	VERB
easat-4570	524	28	research	research	NOUN
easat-4570	524	29	,	,	PUNCT
easat-4570	524	30	vol	vol	NOUN
easat-4570	524	31	.	.	PROPN
easat-4570	524	32	18	18	NUM
easat-4570	524	33	,	,	PUNCT
easat-4570	524	34	no	no	INTJ
easat-4570	524	35	.	.	NOUN
easat-4570	524	36	81	81	NUM
easat-4570	524	37	,	,	PUNCT
easat-4570	524	38	pp	pp	ADJ
easat-4570	524	39	.	.	PUNCT
easat-4570	524	40	1	1	NUM
easat-4570	524	41	-	-	SYM
easat-4570	524	42	36	36	NUM
easat-4570	524	43	,	,	PUNCT
easat-4570	524	44	2017	2017	NUM
easat-4570	524	45	.	.	PUNCT
easat-4570	525	1	[	[	X
easat-4570	525	2	76	76	NUM
easat-4570	525	3	]	]	X
easat-4570	525	4	d.	d.	PROPN
easat-4570	525	5	a.	a.	PROPN
easat-4570	525	6	powell	powell	PROPN
easat-4570	525	7	,	,	PUNCT
easat-4570	525	8	l.	l.	PROPN
easat-4570	525	9	m.	m.	PROPN
easat-4570	525	10	anderson	anderson	PROPN
easat-4570	525	11	,	,	PUNCT
easat-4570	525	12	r.	r.	PROPN
easat-4570	525	13	y.	y.	PROPN
easat-4570	525	14	cheng	cheng	PROPN
easat-4570	525	15	,	,	PUNCT
easat-4570	525	16	and	and	CCONJ
easat-4570	525	17	w.	w.	PROPN
easat-4570	525	18	g.	g.	PROPN
easat-4570	525	19	alvord	alvord	PROPN
easat-4570	525	20	,	,	PUNCT
easat-4570	525	21	"	"	PUNCT
easat-4570	525	22	robustness	robustness	NOUN
easat-4570	525	23	of	of	ADP
easat-4570	525	24	the	the	DET
easat-4570	525	25	chen	chen	PROPN
easat-4570	525	26	–	–	PUNCT
easat-4570	525	27	dougherty	dougherty	PROPN
easat-4570	525	28	–	–	PUNCT
easat-4570	525	29	bittner	bittner	NOUN
easat-4570	525	30	procedure	procedure	NOUN
easat-4570	525	31	against	against	ADP
easat-4570	525	32	non	non	ADJ
easat-4570	525	33	-	-	ADJ
easat-4570	525	34	normality	normality	ADJ
easat-4570	525	35	and	and	CCONJ
easat-4570	525	36	heterogeneity	heterogeneity	NOUN
easat-4570	525	37	in	in	ADP
easat-4570	525	38	the	the	DET
easat-4570	525	39	coefficient	coefficient	NOUN
easat-4570	525	40	of	of	ADP
easat-4570	525	41	variation	variation	NOUN
easat-4570	525	42	,	,	PUNCT
easat-4570	525	43	"	"	PUNCT
easat-4570	525	44	journal	journal	NOUN
easat-4570	525	45	of	of	ADP
easat-4570	525	46	biomedical	biomedical	ADJ
easat-4570	525	47	optics	optic	NOUN
easat-4570	525	48	,	,	PUNCT
easat-4570	525	49	vol	vol	NOUN
easat-4570	525	50	.	.	PROPN
easat-4570	525	51	7	7	NUM
easat-4570	525	52	,	,	PUNCT
easat-4570	525	53	no	no	INTJ
easat-4570	525	54	.	.	NOUN
easat-4570	525	55	4	4	NUM
easat-4570	525	56	,	,	PUNCT
easat-4570	525	57	pp	pp	ADJ
easat-4570	525	58	.	.	PUNCT
easat-4570	526	1	650	650	NUM
easat-4570	526	2	-	-	SYM
easat-4570	526	3	660	660	NUM
easat-4570	526	4	,	,	PUNCT
easat-4570	526	5	2002	2002	NUM
easat-4570	526	6	.	.	PUNCT
easat-4570	527	1	https://doi.org/10.1117/1.1501561	https://doi.org/10.1117/1.1501561	PROPN
easat-4570	528	1	[	[	X
easat-4570	528	2	77	77	X
easat-4570	528	3	]	]	X
easat-4570	528	4	y.	y.	PROPN
easat-4570	528	5	yu	yu	PROPN
easat-4570	528	6	,	,	PUNCT
easat-4570	528	7	a.	a.	PROPN
easat-4570	528	8	r.	r.	PROPN
easat-4570	528	9	khan	khan	PROPN
easat-4570	528	10	,	,	PUNCT
easat-4570	528	11	and	and	CCONJ
easat-4570	528	12	j.	j.	PROPN
easat-4570	528	13	xu	xu	PROPN
easat-4570	528	14	,	,	PUNCT
easat-4570	528	15	"	"	PUNCT
easat-4570	528	16	measuring	measure	VERB
easat-4570	528	17	robustness	robustness	NOUN
easat-4570	528	18	for	for	ADP
easat-4570	528	19	nlp	nlp	NOUN
easat-4570	528	20	,	,	PUNCT
easat-4570	528	21	"	"	PUNCT
easat-4570	528	22	in	in	ADP
easat-4570	528	23	proceedings	proceeding	NOUN
easat-4570	528	24	of	of	ADP
easat-4570	528	25	the	the	DET
easat-4570	528	26	29th	29th	ADJ
easat-4570	528	27	international	international	ADJ
easat-4570	528	28	conference	conference	NOUN
easat-4570	528	29	on	on	ADP
easat-4570	528	30	computational	computational	ADJ
easat-4570	528	31	linguistics	linguistic	NOUN
easat-4570	528	32	,	,	PUNCT
easat-4570	528	33	2022	2022	NUM
easat-4570	528	34	,	,	PUNCT
easat-4570	528	35	pp	pp	ADJ
easat-4570	528	36	.	.	PUNCT
easat-4570	529	1	3908	3908	NUM
easat-4570	529	2	-	-	SYM
easat-4570	529	3	3916	3916	NUM
easat-4570	529	4	.	.	PUNCT
easat-4570	530	1	https://doi.org/10.11919/j.issn.1002-0829.215044	https://doi.org/10.11919/j.issn.1002-0829.215044	PROPN
easat-4570	530	2	https://doi.org/10.17849/insm-47-1-31-39.1	https://doi.org/10.17849/insm-47-1-31-39.1	ADJ
easat-4570	530	3	https://doi.org/10.1007/978-3-642-41136-6_5	https://doi.org/10.1007/978-3-642-41136-6_5	PROPN
easat-4570	530	4	https://doi.org/10.1201/9781315271646	https://doi.org/10.1201/9781315271646	NOUN
easat-4570	530	5	https://doi.org/10.1007/978-0-387-30164-8_5	https://doi.org/10.1007/978-0-387-30164-8_5	VERB
easat-4570	530	6	https://doi.org/10.1007/978-3-031-56700-1_30	https://doi.org/10.1007/978-3-031-56700-1_30	NUM
easat-4570	530	7	https://doi.org/10.5815/ijitcs.2021.06.05	https://doi.org/10.5815/ijitcs.2021.06.05	DET
easat-4570	530	8	https://doi.org/10.1117/1.1501561	https://doi.org/10.1117/1.1501561	NOUN