id	sid	tid	token	lemma	pos
easat-10138	1	1	edelweiss	edelweiss	PROPN
easat-10138	1	2	applied	apply	VERB
easat-10138	1	3	science	science	NOUN
easat-10138	1	4	and	and	CCONJ
easat-10138	1	5	technology	technology	NOUN
easat-10138	1	6	issn	issn	PROPN
easat-10138	1	7	:	:	PUNCT
easat-10138	1	8	2576	2576	NUM
easat-10138	1	9	-	-	SYM
easat-10138	1	10	8484	8484	NUM
easat-10138	1	11	vol	vol	NOUN
easat-10138	1	12	.	.	PROPN
easat-10138	2	1	9	9	NUM
easat-10138	2	2	,	,	PUNCT
easat-10138	2	3	no	no	INTJ
easat-10138	2	4	.	.	NOUN
easat-10138	2	5	9	9	NUM
easat-10138	2	6	,	,	PUNCT
easat-10138	2	7	1398	1398	NUM
easat-10138	2	8	-	-	SYM
easat-10138	2	9	1415	1415	NUM
easat-10138	2	10	2025	2025	NUM
easat-10138	2	11	publisher	publisher	NOUN
easat-10138	2	12	:	:	PUNCT
easat-10138	2	13	learning	learn	VERB
easat-10138	2	14	gate	gate	NOUN
easat-10138	2	15	doi	doi	PROPN
easat-10138	2	16	:	:	PUNCT
easat-10138	2	17	10.55214/2576	10.55214/2576	NUM
easat-10138	2	18	-	-	PUNCT
easat-10138	2	19	8484.v9i9.10138	8484.v9i9.10138	NOUN
easat-10138	3	1	©	©	PROPN
easat-10138	3	2	2025	2025	NUM
easat-10138	3	3	by	by	ADP
easat-10138	3	4	the	the	DET
easat-10138	3	5	authors	author	NOUN
easat-10138	3	6	;	;	PUNCT
easat-10138	3	7	licensee	licensee	PROPN
easat-10138	3	8	learning	learning	NOUN
easat-10138	3	9	gate	gate	NOUN
easat-10138	3	10	©	©	PROPN
easat-10138	3	11	2025	2025	NUM
easat-10138	3	12	by	by	ADP
easat-10138	3	13	the	the	DET
easat-10138	3	14	authors	author	NOUN
easat-10138	3	15	;	;	PUNCT
easat-10138	3	16	licensee	licensee	PROPN
easat-10138	3	17	learning	learning	NOUN
easat-10138	3	18	gate	gate	NOUN
easat-10138	3	19	history	history	NOUN
easat-10138	3	20	:	:	PUNCT
easat-10138	3	21	received	receive	VERB
easat-10138	3	22	:	:	PUNCT
easat-10138	3	23	25	25	NUM
easat-10138	3	24	july	july	PROPN
easat-10138	3	25	2025	2025	NUM
easat-10138	3	26	;	;	PUNCT
easat-10138	3	27	revised	revise	VERB
easat-10138	3	28	:	:	PUNCT
easat-10138	3	29	12	12	NUM
easat-10138	3	30	august	august	PROPN
easat-10138	3	31	2025	2025	NUM
easat-10138	3	32	;	;	PUNCT
easat-10138	3	33	accepted	accept	VERB
easat-10138	3	34	:	:	PUNCT
easat-10138	3	35	15	15	NUM
easat-10138	3	36	august	august	PROPN
easat-10138	3	37	2025	2025	NUM
easat-10138	3	38	;	;	PUNCT
easat-10138	3	39	published	publish	VERB
easat-10138	3	40	:	:	PUNCT
easat-10138	4	1	22	22	NUM
easat-10138	4	2	september	september	PROPN
easat-10138	4	3	2025	2025	NUM
easat-10138	4	4	*	*	PUNCT
easat-10138	4	5	correspondence	correspondence	NOUN
easat-10138	4	6	:	:	PUNCT
easat-10138	4	7	aimoize@unilag.edu.ng	aimoize@unilag.edu.ng	ADV
easat-10138	4	8	breast	breast	NOUN
easat-10138	4	9	cancer	cancer	NOUN
easat-10138	4	10	prediction	prediction	NOUN
easat-10138	4	11	using	use	VERB
easat-10138	4	12	a	a	DET
easat-10138	4	13	pretrained	pretraine	VERB
easat-10138	4	14	cnn	cnn	PROPN
easat-10138	4	15	model	model	PROPN
easat-10138	4	16	resnet-50	resnet-50	PROPN
easat-10138	4	17	akinbowale	akinbowale	PROPN
easat-10138	4	18	nathaniel	nathaniel	PROPN
easat-10138	4	19	babatunde1	babatunde1	PROPN
easat-10138	4	20	,	,	PUNCT
easat-10138	4	21	bukola	bukola	PROPN
easat-10138	4	22	fatimah	fatimah	PROPN
easat-10138	4	23	balogun2	balogun2	PROPN
easat-10138	4	24	,	,	PUNCT
easat-10138	4	25	omosola	omosola	PROPN
easat-10138	4	26	jacob	jacob	PROPN
easat-10138	4	27	olabode3	olabode3	PROPN
easat-10138	4	28	,	,	PUNCT
easat-10138	4	29	joseph	joseph	PROPN
easat-10138	4	30	bamidele	bamidele	PROPN
easat-10138	4	31	awotunde4	awotunde4	PROPN
easat-10138	4	32	,	,	PUNCT
easat-10138	5	1	agbotiname	agbotiname	PROPN
easat-10138	5	2	lucky	lucky	ADJ
easat-10138	5	3	imoize5	imoize5	NOUN
easat-10138	5	4	*	*	VERB
easat-10138	6	1	1department	1department	NUM
easat-10138	6	2	of	of	ADP
easat-10138	6	3	computer	computer	NOUN
easat-10138	6	4	science	science	NOUN
easat-10138	6	5	,	,	PUNCT
easat-10138	6	6	faculty	faculty	NOUN
easat-10138	6	7	of	of	ADP
easat-10138	6	8	information	information	NOUN
easat-10138	6	9	and	and	CCONJ
easat-10138	6	10	communication	communication	NOUN
easat-10138	6	11	technology	technology	NOUN
easat-10138	6	12	,	,	PUNCT
easat-10138	6	13	kwara	kwara	PROPN
easat-10138	6	14	state	state	PROPN
easat-10138	6	15	university	university	PROPN
easat-10138	6	16	,	,	PUNCT
easat-10138	6	17	malete	malete	NOUN
easat-10138	6	18	,	,	PUNCT
easat-10138	6	19	nigeria	nigeria	PROPN
easat-10138	6	20	;	;	PUNCT
easat-10138	6	21	akinbowale.babatunde@kwasu.edu.ng	akinbowale.babatunde@kwasu.edu.ng	PROPN
easat-10138	6	22	(	(	PUNCT
easat-10138	6	23	a.n.b	a.n.b	NOUN
easat-10138	6	24	.	.	PUNCT
easat-10138	6	25	)	)	PUNCT
easat-10138	6	26	.	.	PUNCT
easat-10138	7	1	2school	2school	NUM
easat-10138	7	2	of	of	ADP
easat-10138	7	3	computer	computer	NOUN
easat-10138	7	4	science	science	NOUN
easat-10138	7	5	and	and	CCONJ
easat-10138	7	6	informatics	informatic	NOUN
easat-10138	7	7	,	,	PUNCT
easat-10138	7	8	de	de	PROPN
easat-10138	7	9	montfort	montfort	PROPN
easat-10138	7	10	university	university	PROPN
easat-10138	7	11	,	,	PUNCT
easat-10138	7	12	leicester	leicester	NOUN
easat-10138	7	13	,	,	PUNCT
easat-10138	7	14	united	united	ADJ
easat-10138	7	15	kingdom	kingdom	NOUN
easat-10138	7	16	;	;	PUNCT
easat-10138	7	17	bukola.balogun@dmu.ac.uk	bukola.balogun@dmu.ac.uk	NOUN
easat-10138	7	18	(	(	PUNCT
easat-10138	7	19	b.f.b	b.f.b	PROPN
easat-10138	7	20	.	.	PUNCT
easat-10138	7	21	)	)	PUNCT
easat-10138	8	1	3faculty	3faculty	NUM
easat-10138	8	2	of	of	ADP
easat-10138	8	3	computing	computing	NOUN
easat-10138	8	4	and	and	CCONJ
easat-10138	8	5	applied	apply	VERB
easat-10138	8	6	sciences	science	NOUN
easat-10138	8	7	,	,	PUNCT
easat-10138	8	8	department	department	NOUN
easat-10138	8	9	of	of	ADP
easat-10138	8	10	mathematical	mathematical	ADJ
easat-10138	8	11	and	and	CCONJ
easat-10138	8	12	computing	compute	VERB
easat-10138	8	13	science	science	NOUN
easat-10138	8	14	,	,	PUNCT
easat-10138	8	15	thomas	thomas	PROPN
easat-10138	8	16	adewumi	adewumi	PROPN
easat-10138	8	17	university	university	PROPN
easat-10138	8	18	,	,	PUNCT
easat-10138	8	19	oko	oko	PROPN
easat-10138	8	20	-	-	PUNCT
easat-10138	8	21	irese	irese	PROPN
easat-10138	8	22	,	,	PUNCT
easat-10138	8	23	nigeria	nigeria	PROPN
easat-10138	8	24	;	;	PUNCT
easat-10138	8	25	omosola.olabode@tau.edu.ng	omosola.olabode@tau.edu.ng	PROPN
easat-10138	8	26	(	(	PUNCT
easat-10138	8	27	o.j.o	o.j.o	PROPN
easat-10138	8	28	.	.	PUNCT
easat-10138	8	29	)	)	PUNCT
easat-10138	8	30	.	.	PUNCT
easat-10138	9	1	4department	4department	NUM
easat-10138	9	2	of	of	ADP
easat-10138	9	3	computer	computer	NOUN
easat-10138	9	4	science	science	NOUN
easat-10138	9	5	,	,	PUNCT
easat-10138	9	6	faculty	faculty	NOUN
easat-10138	9	7	of	of	ADP
easat-10138	9	8	communication	communication	NOUN
easat-10138	9	9	and	and	CCONJ
easat-10138	9	10	information	information	NOUN
easat-10138	9	11	sciences	science	NOUN
easat-10138	9	12	,	,	PUNCT
easat-10138	9	13	university	university	NOUN
easat-10138	9	14	of	of	ADP
easat-10138	9	15	ilorin	ilorin	NOUN
easat-10138	9	16	,	,	PUNCT
easat-10138	9	17	ilorin	ilorin	NOUN
easat-10138	9	18	240003	240003	NUM
easat-10138	9	19	,	,	PUNCT
easat-10138	9	20	nigeria	nigeria	PRON
easat-10138	9	21	;	;	PUNCT
easat-10138	9	22	awotunde.jb@unilorin.edu.ng	awotunde.jb@unilorin.edu.ng	PUNCT
easat-10138	9	23	(	(	PUNCT
easat-10138	9	24	j.b.a	j.b.a	NOUN
easat-10138	9	25	.	.	PUNCT
easat-10138	9	26	)	)	PUNCT
easat-10138	9	27	.	.	PUNCT
easat-10138	10	1	5department	5department	NUM
easat-10138	10	2	of	of	ADP
easat-10138	10	3	electrical	electrical	ADJ
easat-10138	10	4	and	and	CCONJ
easat-10138	10	5	electronics	electronic	NOUN
easat-10138	10	6	engineering	engineering	NOUN
easat-10138	10	7	,	,	PUNCT
easat-10138	10	8	faculty	faculty	NOUN
easat-10138	10	9	of	of	ADP
easat-10138	10	10	engineering	engineering	NOUN
easat-10138	10	11	,	,	PUNCT
easat-10138	10	12	university	university	NOUN
easat-10138	10	13	of	of	ADP
easat-10138	10	14	lagos	lagos	PROPN
easat-10138	10	15	,	,	PUNCT
easat-10138	10	16	akoka	akoka	NOUN
easat-10138	10	17	,	,	PUNCT
easat-10138	10	18	lagos	lagos	NOUN
easat-10138	10	19	100213	100213	NUM
easat-10138	10	20	,	,	PUNCT
easat-10138	10	21	nigeria	nigeria	PRON
easat-10138	10	22	;	;	PUNCT
easat-10138	10	23	aimoize@unilag.edu.ng	aimoize@unilag.edu.ng	INTJ
easat-10138	10	24	(	(	PUNCT
easat-10138	10	25	a.l.i	a.l.i	PROPN
easat-10138	10	26	.	.	PUNCT
easat-10138	10	27	)	)	PUNCT
easat-10138	10	28	.	.	PUNCT
easat-10138	11	1	abstract	abstract	ADJ
easat-10138	11	2	:	:	PUNCT
easat-10138	11	3	early	early	ADJ
easat-10138	11	4	diagnosis	diagnosis	NOUN
easat-10138	11	5	and	and	CCONJ
easat-10138	11	6	administration	administration	NOUN
easat-10138	11	7	of	of	ADP
easat-10138	11	8	suitable	suitable	ADJ
easat-10138	11	9	treatment	treatment	NOUN
easat-10138	11	10	can	can	AUX
easat-10138	11	11	substantially	substantially	ADV
easat-10138	11	12	enhance	enhance	VERB
easat-10138	11	13	the	the	DET
easat-10138	11	14	probability	probability	NOUN
easat-10138	11	15	of	of	ADP
easat-10138	11	16	human	human	ADJ
easat-10138	11	17	survival	survival	NOUN
easat-10138	11	18	from	from	ADP
easat-10138	11	19	breast	breast	NOUN
easat-10138	11	20	cancer	cancer	NOUN
easat-10138	11	21	.	.	PUNCT
easat-10138	12	1	this	this	DET
easat-10138	12	2	study	study	NOUN
easat-10138	12	3	utilized	utilize	VERB
easat-10138	12	4	a	a	DET
easat-10138	12	5	large	large	ADJ
easat-10138	12	6	dataset	dataset	NOUN
easat-10138	12	7	comprising	comprising	NOUN
easat-10138	12	8	thousands	thousand	NOUN
easat-10138	12	9	of	of	ADP
easat-10138	12	10	labeled	label	VERB
easat-10138	12	11	breast	breast	NOUN
easat-10138	12	12	images	image	NOUN
easat-10138	12	13	representing	represent	VERB
easat-10138	12	14	various	various	ADJ
easat-10138	12	15	types	type	NOUN
easat-10138	12	16	of	of	ADP
easat-10138	12	17	breast	breast	NOUN
easat-10138	12	18	cancer	cancer	NOUN
easat-10138	12	19	to	to	PART
easat-10138	12	20	train	train	VERB
easat-10138	12	21	and	and	CCONJ
easat-10138	12	22	validate	validate	VERB
easat-10138	12	23	the	the	DET
easat-10138	12	24	resnet-50	resnet-50	PROPN
easat-10138	12	25	model	model	NOUN
easat-10138	12	26	.	.	PUNCT
easat-10138	13	1	important	important	ADJ
easat-10138	13	2	features	feature	NOUN
easat-10138	13	3	were	be	AUX
easat-10138	13	4	extracted	extract	VERB
easat-10138	13	5	from	from	ADP
easat-10138	13	6	the	the	DET
easat-10138	13	7	images	image	NOUN
easat-10138	13	8	using	use	VERB
easat-10138	13	9	the	the	DET
easat-10138	13	10	residual	residual	ADJ
easat-10138	13	11	blocks	block	NOUN
easat-10138	13	12	of	of	ADP
easat-10138	13	13	the	the	DET
easat-10138	13	14	network	network	NOUN
easat-10138	13	15	and	and	CCONJ
easat-10138	13	16	then	then	ADV
easat-10138	13	17	fine	fine	ADV
easat-10138	13	18	-	-	PUNCT
easat-10138	13	19	tuned	tune	VERB
easat-10138	13	20	for	for	ADP
easat-10138	13	21	optimal	optimal	ADJ
easat-10138	13	22	performance	performance	NOUN
easat-10138	13	23	.	.	PUNCT
easat-10138	14	1	the	the	DET
easat-10138	14	2	experiments	experiment	NOUN
easat-10138	14	3	demonstrated	demonstrate	VERB
easat-10138	14	4	that	that	SCONJ
easat-10138	14	5	the	the	DET
easat-10138	14	6	resnet50	resnet50	NOUN
easat-10138	14	7	model	model	NOUN
easat-10138	14	8	achieved	achieve	VERB
easat-10138	14	9	a	a	DET
easat-10138	14	10	fair	fair	ADJ
easat-10138	14	11	level	level	NOUN
easat-10138	14	12	of	of	ADP
easat-10138	14	13	accuracy	accuracy	NOUN
easat-10138	14	14	in	in	ADP
easat-10138	14	15	differentiating	differentiate	VERB
easat-10138	14	16	various	various	ADJ
easat-10138	14	17	forms	form	NOUN
easat-10138	14	18	of	of	ADP
easat-10138	14	19	breast	breast	NOUN
easat-10138	14	20	cancer	cancer	NOUN
easat-10138	14	21	,	,	PUNCT
easat-10138	14	22	such	such	ADJ
easat-10138	14	23	as	as	ADP
easat-10138	14	24	benign	benign	ADJ
easat-10138	14	25	,	,	PUNCT
easat-10138	14	26	malignant	malignant	ADJ
easat-10138	14	27	,	,	PUNCT
easat-10138	14	28	and	and	CCONJ
easat-10138	14	29	others	other	NOUN
easat-10138	14	30	.	.	PUNCT
easat-10138	15	1	the	the	DET
easat-10138	15	2	resnet-50	resnet-50	PROPN
easat-10138	15	3	performed	perform	VERB
easat-10138	15	4	reasonably	reasonably	ADV
easat-10138	15	5	well	well	ADV
easat-10138	15	6	,	,	PUNCT
easat-10138	15	7	identifying	identify	VERB
easat-10138	15	8	benign	benign	ADJ
easat-10138	15	9	,	,	PUNCT
easat-10138	15	10	malignant	malignant	ADJ
easat-10138	15	11	,	,	PUNCT
easat-10138	15	12	and	and	CCONJ
easat-10138	15	13	normal	normal	ADJ
easat-10138	15	14	cases	case	NOUN
easat-10138	15	15	with	with	ADP
easat-10138	15	16	98	98	NUM
easat-10138	15	17	%	%	NOUN
easat-10138	15	18	accuracy	accuracy	NOUN
easat-10138	15	19	when	when	SCONJ
easat-10138	15	20	using	use	VERB
easat-10138	15	21	accuracy	accuracy	NOUN
easat-10138	15	22	as	as	ADP
easat-10138	15	23	the	the	DET
easat-10138	15	24	metric	metric	NOUN
easat-10138	15	25	,	,	PUNCT
easat-10138	15	26	97	97	NUM
easat-10138	15	27	%	%	NOUN
easat-10138	15	28	when	when	SCONJ
easat-10138	15	29	using	use	VERB
easat-10138	15	30	precision	precision	NOUN
easat-10138	15	31	,	,	PUNCT
easat-10138	15	32	and	and	CCONJ
easat-10138	15	33	100	100	NUM
easat-10138	15	34	%	%	NOUN
easat-10138	15	35	when	when	SCONJ
easat-10138	15	36	using	use	VERB
easat-10138	15	37	recall	recall	NOUN
easat-10138	15	38	.	.	PUNCT
easat-10138	16	1	consequently	consequently	ADV
easat-10138	16	2	,	,	PUNCT
easat-10138	16	3	the	the	DET
easat-10138	16	4	trained	train	VERB
easat-10138	16	5	resnet-50	resnet-50	PROPN
easat-10138	16	6	model	model	NOUN
easat-10138	16	7	was	be	AUX
easat-10138	16	8	combined	combine	VERB
easat-10138	16	9	with	with	ADP
easat-10138	16	10	the	the	DET
easat-10138	16	11	flask	flask	NOUN
easat-10138	16	12	framework	framework	NOUN
easat-10138	16	13	to	to	PART
easat-10138	16	14	generate	generate	VERB
easat-10138	16	15	a	a	DET
easat-10138	16	16	simple	simple	ADJ
easat-10138	16	17	user	user	NOUN
easat-10138	16	18	interface	interface	NOUN
easat-10138	16	19	.	.	PUNCT
easat-10138	17	1	these	these	DET
easat-10138	17	2	results	result	NOUN
easat-10138	17	3	suggest	suggest	VERB
easat-10138	17	4	that	that	SCONJ
easat-10138	17	5	employing	employ	VERB
easat-10138	17	6	residual	residual	ADJ
easat-10138	17	7	networks	network	NOUN
easat-10138	17	8	in	in	ADP
easat-10138	17	9	detecting	detect	VERB
easat-10138	17	10	breast	breast	NOUN
easat-10138	17	11	cancer	cancer	NOUN
easat-10138	17	12	can	can	AUX
easat-10138	17	13	significantly	significantly	ADV
easat-10138	17	14	aid	aid	VERB
easat-10138	17	15	in	in	ADP
easat-10138	17	16	early	early	ADJ
easat-10138	17	17	diagnosis	diagnosis	NOUN
easat-10138	17	18	and	and	CCONJ
easat-10138	17	19	treatment	treatment	NOUN
easat-10138	17	20	.	.	PUNCT
easat-10138	18	1	this	this	DET
easat-10138	18	2	study	study	NOUN
easat-10138	18	3	has	have	VERB
easat-10138	18	4	important	important	ADJ
easat-10138	18	5	implications	implication	NOUN
easat-10138	18	6	for	for	ADP
easat-10138	18	7	public	public	ADJ
easat-10138	18	8	health	health	NOUN
easat-10138	18	9	and	and	CCONJ
easat-10138	18	10	medical	medical	ADJ
easat-10138	18	11	practice	practice	NOUN
easat-10138	18	12	,	,	PUNCT
easat-10138	18	13	providing	provide	VERB
easat-10138	18	14	physicians	physician	NOUN
easat-10138	18	15	with	with	ADP
easat-10138	18	16	a	a	DET
easat-10138	18	17	valuable	valuable	ADJ
easat-10138	18	18	resource	resource	NOUN
easat-10138	18	19	in	in	ADP
easat-10138	18	20	their	their	PRON
easat-10138	18	21	fight	fight	NOUN
easat-10138	18	22	against	against	ADP
easat-10138	18	23	breast	breast	NOUN
easat-10138	18	24	tumors	tumor	NOUN
easat-10138	18	25	.	.	PUNCT
easat-10138	19	1	keywords	keyword	NOUN
easat-10138	19	2	:	:	PUNCT
easat-10138	19	3	breast	breast	NOUN
easat-10138	19	4	cancer	cancer	NOUN
easat-10138	19	5	;	;	PUNCT
easat-10138	19	6	deep	deep	ADJ
easat-10138	19	7	convolutional	convolutional	ADJ
easat-10138	19	8	neural	neural	ADJ
easat-10138	19	9	network	network	NOUN
easat-10138	19	10	,	,	PUNCT
easat-10138	19	11	resnet-50	resnet-50	PROPN
easat-10138	19	12	;	;	PUNCT
easat-10138	19	13	deep	deep	ADJ
easat-10138	19	14	learning	learning	NOUN
easat-10138	19	15	,	,	PUNCT
easat-10138	19	16	transfer	transfer	NOUN
easat-10138	19	17	learning	learning	NOUN
easat-10138	19	18	.	.	PUNCT
easat-10138	20	1	1	1	X
easat-10138	20	2	.	.	X
easat-10138	20	3	introduction	introduction	NOUN
easat-10138	20	4	the	the	DET
easat-10138	20	5	human	human	ADJ
easat-10138	20	6	body	body	NOUN
easat-10138	20	7	comprises	comprise	VERB
easat-10138	20	8	approximately	approximately	ADV
easat-10138	20	9	30	30	NUM
easat-10138	20	10	trillion	trillion	NUM
easat-10138	20	11	cells	cell	NOUN
easat-10138	20	12	.	.	PUNCT
easat-10138	21	1	a	a	DET
easat-10138	21	2	primary	primary	ADJ
easat-10138	21	3	tumor	tumor	NOUN
easat-10138	21	4	arises	arise	VERB
easat-10138	21	5	from	from	ADP
easat-10138	21	6	abnormal	abnormal	ADJ
easat-10138	21	7	cell	cell	NOUN
easat-10138	21	8	proliferation	proliferation	NOUN
easat-10138	21	9	,	,	PUNCT
easat-10138	21	10	which	which	PRON
easat-10138	21	11	is	be	AUX
easat-10138	21	12	the	the	DET
easat-10138	21	13	fundamental	fundamental	ADJ
easat-10138	21	14	cause	cause	NOUN
easat-10138	21	15	of	of	ADP
easat-10138	21	16	cancer	cancer	NOUN
easat-10138	21	17	.	.	PUNCT
easat-10138	22	1	women	woman	NOUN
easat-10138	22	2	are	be	AUX
easat-10138	22	3	predominantly	predominantly	ADV
easat-10138	22	4	afflicted	afflict	VERB
easat-10138	22	5	by	by	ADP
easat-10138	22	6	breast	breast	NOUN
easat-10138	22	7	cancer	cancer	NOUN
easat-10138	22	8	due	due	ADP
easat-10138	22	9	to	to	ADP
easat-10138	22	10	excessive	excessive	ADJ
easat-10138	22	11	proliferation	proliferation	NOUN
easat-10138	22	12	of	of	ADP
easat-10138	22	13	breast	breast	NOUN
easat-10138	22	14	cells	cell	NOUN
easat-10138	22	15	[	[	X
easat-10138	22	16	1	1	NUM
easat-10138	22	17	]	]	PUNCT
easat-10138	22	18	.	.	PUNCT
easat-10138	23	1	it	it	PRON
easat-10138	23	2	is	be	AUX
easat-10138	23	3	a	a	DET
easat-10138	23	4	highly	highly	ADV
easat-10138	23	5	aggressive	aggressive	ADJ
easat-10138	23	6	tumor	tumor	NOUN
easat-10138	23	7	,	,	PUNCT
easat-10138	23	8	which	which	PRON
easat-10138	23	9	is	be	AUX
easat-10138	23	10	the	the	DET
easat-10138	23	11	primary	primary	ADJ
easat-10138	23	12	reason	reason	NOUN
easat-10138	23	13	for	for	ADP
easat-10138	23	14	mortality	mortality	NOUN
easat-10138	23	15	among	among	ADP
easat-10138	23	16	women	woman	NOUN
easat-10138	23	17	affected	affect	VERB
easat-10138	23	18	by	by	ADP
easat-10138	23	19	it	it	PRON
easat-10138	23	20	olanloye	olanloye	VERB
easat-10138	23	21	,	,	PUNCT
easat-10138	23	22	et	et	PROPN
easat-10138	23	23	al	al	PROPN
easat-10138	23	24	.	.	PUNCT
easat-10138	24	1	[	[	X
easat-10138	24	2	2	2	NUM
easat-10138	24	3	]	]	PUNCT
easat-10138	24	4	.	.	PUNCT
easat-10138	25	1	the	the	DET
easat-10138	25	2	disease	disease	NOUN
easat-10138	25	3	is	be	AUX
easat-10138	25	4	characterized	characterize	VERB
easat-10138	25	5	by	by	ADP
easat-10138	25	6	abnormal	abnormal	ADJ
easat-10138	25	7	cell	cell	NOUN
easat-10138	25	8	growth	growth	NOUN
easat-10138	25	9	in	in	ADP
easat-10138	25	10	breast	breast	NOUN
easat-10138	25	11	tissue	tissue	NOUN
easat-10138	25	12	,	,	PUNCT
easat-10138	25	13	leading	lead	VERB
easat-10138	25	14	to	to	ADP
easat-10138	25	15	the	the	DET
easat-10138	25	16	establishment	establishment	NOUN
easat-10138	25	17	of	of	ADP
easat-10138	25	18	primary	primary	ADJ
easat-10138	25	19	tumors	tumor	NOUN
easat-10138	25	20	,	,	PUNCT
easat-10138	25	21	which	which	PRON
easat-10138	25	22	may	may	AUX
easat-10138	25	23	be	be	AUX
easat-10138	25	24	benign	benign	ADJ
easat-10138	25	25	or	or	CCONJ
easat-10138	25	26	malignant	malignant	ADJ
easat-10138	25	27	.	.	PUNCT
easat-10138	26	1	malignant	malignant	ADJ
easat-10138	26	2	tumors	tumor	NOUN
easat-10138	26	3	can	can	AUX
easat-10138	26	4	invade	invade	VERB
easat-10138	26	5	and	and	CCONJ
easat-10138	26	6	influence	influence	VERB
easat-10138	26	7	other	other	ADJ
easat-10138	26	8	regions	region	NOUN
easat-10138	26	9	of	of	ADP
easat-10138	26	10	the	the	DET
easat-10138	26	11	body	body	NOUN
easat-10138	26	12	,	,	PUNCT
easat-10138	26	13	while	while	SCONJ
easat-10138	26	14	benign	benign	ADJ
easat-10138	26	15	tumors	tumor	NOUN
easat-10138	26	16	remain	remain	VERB
easat-10138	26	17	localized	localized	ADJ
easat-10138	26	18	and	and	CCONJ
easat-10138	26	19	do	do	AUX
easat-10138	26	20	not	not	PART
easat-10138	26	21	metastasize	metastasize	VERB
easat-10138	26	22	.	.	PUNCT
easat-10138	27	1	breast	breast	NOUN
easat-10138	27	2	cancer	cancer	NOUN
easat-10138	27	3	is	be	AUX
easat-10138	27	4	classified	classify	VERB
easat-10138	27	5	into	into	ADP
easat-10138	27	6	two	two	NUM
easat-10138	27	7	categories	category	NOUN
easat-10138	27	8	:	:	PUNCT
easat-10138	27	9	invasive	invasive	ADJ
easat-10138	27	10	and	and	CCONJ
easat-10138	27	11	noninvasive	noninvasive	ADJ
easat-10138	27	12	.	.	PUNCT
easat-10138	28	1	non	non	ADJ
easat-10138	28	2	-	-	ADJ
easat-10138	28	3	invasive	invasive	ADJ
easat-10138	28	4	breast	breast	NOUN
easat-10138	28	5	cancer	cancer	NOUN
easat-10138	28	6	is	be	AUX
easat-10138	28	7	limited	limit	VERB
easat-10138	28	8	to	to	ADP
easat-10138	28	9	the	the	DET
easat-10138	28	10	lobules	lobule	NOUN
easat-10138	28	11	or	or	CCONJ
easat-10138	28	12	milk	milk	NOUN
easat-10138	28	13	ducts	duct	NOUN
easat-10138	28	14	of	of	ADP
easat-10138	28	15	the	the	DET
easat-10138	28	16	breast	breast	NOUN
easat-10138	28	17	,	,	PUNCT
easat-10138	28	18	whereas	whereas	SCONJ
easat-10138	28	19	invasive	invasive	ADJ
easat-10138	28	20	breast	breast	NOUN
easat-10138	28	21	cancer	cancer	NOUN
easat-10138	28	22	can	can	AUX
easat-10138	28	23	disseminate	disseminate	VERB
easat-10138	28	24	to	to	ADP
easat-10138	28	25	adjacent	adjacent	ADJ
easat-10138	28	26	regions	region	NOUN
easat-10138	29	1	[	[	X
easat-10138	29	2	3	3	NUM
easat-10138	29	3	]	]	PUNCT
easat-10138	29	4	.	.	PUNCT
easat-10138	30	1	breast	breast	NOUN
easat-10138	30	2	cancer	cancer	NOUN
easat-10138	30	3	is	be	AUX
easat-10138	30	4	a	a	DET
easat-10138	30	5	severe	severe	ADJ
easat-10138	30	6	illness	illness	NOUN
easat-10138	30	7	that	that	PRON
easat-10138	30	8	affects	affect	VERB
easat-10138	30	9	women	woman	NOUN
easat-10138	30	10	throughout	throughout	ADP
easat-10138	30	11	the	the	DET
easat-10138	30	12	globe	globe	NOUN
easat-10138	30	13	.	.	PUNCT
easat-10138	31	1	the	the	DET
easat-10138	31	2	principal	principal	ADJ
easat-10138	31	3	cause	cause	NOUN
easat-10138	31	4	of	of	ADP
easat-10138	31	5	breast	breast	NOUN
easat-10138	31	6	cancer	cancer	NOUN
easat-10138	31	7	is	be	AUX
easat-10138	31	8	the	the	DET
easat-10138	31	9	proliferation	proliferation	NOUN
easat-10138	31	10	of	of	ADP
easat-10138	31	11	masses	masse	NOUN
easat-10138	31	12	in	in	ADP
easat-10138	31	13	the	the	DET
easat-10138	31	14	breast	breast	NOUN
easat-10138	31	15	area	area	NOUN
easat-10138	31	16	.	.	PUNCT
easat-10138	32	1	timely	timely	ADJ
easat-10138	32	2	identification	identification	NOUN
easat-10138	32	3	of	of	ADP
easat-10138	32	4	breast	breast	NOUN
easat-10138	32	5	cancer	cancer	NOUN
easat-10138	32	6	is	be	AUX
easat-10138	32	7	crucial	crucial	ADJ
easat-10138	32	8	because	because	SCONJ
easat-10138	32	9	it	it	PRON
easat-10138	32	10	can	can	AUX
easat-10138	32	11	improve	improve	VERB
easat-10138	32	12	the	the	DET
easat-10138	32	13	prognosis	prognosis	NOUN
easat-10138	32	14	.	.	PUNCT
easat-10138	33	1	the	the	DET
easat-10138	33	2	existing	exist	VERB
easat-10138	33	3	study	study	NOUN
easat-10138	33	4	methodologies	methodology	NOUN
easat-10138	33	5	exhibit	exhibit	VERB
easat-10138	33	6	inadequate	inadequate	ADJ
easat-10138	33	7	detection	detection	NOUN
easat-10138	33	8	accuracy	accuracy	NOUN
easat-10138	33	9	and	and	CCONJ
easat-10138	33	10	elevated	elevated	ADJ
easat-10138	33	11	computing	computing	NOUN
easat-10138	33	12	complexity	complexity	NOUN
easat-10138	34	1	[	[	X
easat-10138	34	2	4	4	NUM
easat-10138	34	3	]	]	PUNCT
easat-10138	34	4	.	.	PUNCT
easat-10138	35	1	early	early	ADJ
easat-10138	35	2	detection	detection	NOUN
easat-10138	35	3	significantly	significantly	ADV
easat-10138	35	4	improves	improve	VERB
easat-10138	35	5	the	the	DET
easat-10138	35	6	https://orcid.org/0000-0001-5168-6071	https://orcid.org/0000-0001-5168-6071	NOUN
easat-10138	35	7	mailto:bukola.balogun@dmu.ac.uk	mailto:bukola.balogun@dmu.ac.uk	PROPN
easat-10138	35	8	https://orcid.org/0009-0009-7069-4208	https://orcid.org/0009-0009-7069-4208	ADJ
easat-10138	35	9	https://orcid.org/0000-0002-8622-056x	https://orcid.org/0000-0002-8622-056x	NOUN
easat-10138	35	10	https://orcid.org/0000-0002-1020-4432	https://orcid.org/0000-0002-1020-4432	NOUN
easat-10138	35	11	https://orcid.org/0000-0001-8921-8353	https://orcid.org/0000-0001-8921-8353	PROPN
easat-10138	35	12	1399	1399	NUM
easat-10138	35	13	edelweiss	edelweiss	PROPN
easat-10138	35	14	applied	apply	VERB
easat-10138	35	15	science	science	NOUN
easat-10138	35	16	and	and	CCONJ
easat-10138	35	17	technology	technology	NOUN
easat-10138	35	18	issn	issn	PROPN
easat-10138	35	19	:	:	PUNCT
easat-10138	35	20	2576	2576	NUM
easat-10138	35	21	-	-	SYM
easat-10138	35	22	8484	8484	NUM
easat-10138	35	23	vol	vol	NOUN
easat-10138	35	24	.	.	PROPN
easat-10138	36	1	9	9	NUM
easat-10138	36	2	,	,	PUNCT
easat-10138	36	3	no	no	INTJ
easat-10138	36	4	.	.	NOUN
easat-10138	36	5	9	9	NUM
easat-10138	36	6	:	:	SYM
easat-10138	36	7	1398	1398	NUM
easat-10138	36	8	-	-	SYM
easat-10138	36	9	1415	1415	NUM
easat-10138	36	10	,	,	PUNCT
easat-10138	36	11	2025	2025	NUM
easat-10138	36	12	doi	doi	NOUN
easat-10138	36	13	:	:	PUNCT
easat-10138	36	14	10.55214/2576	10.55214/2576	NUM
easat-10138	36	15	-	-	PUNCT
easat-10138	36	16	8484.v9i9.10138	8484.v9i9.10138	NOUN
easat-10138	37	1	©	©	PROPN
easat-10138	37	2	2025	2025	NUM
easat-10138	37	3	by	by	ADP
easat-10138	37	4	the	the	DET
easat-10138	37	5	authors	author	NOUN
easat-10138	37	6	;	;	PUNCT
easat-10138	37	7	licensee	licensee	PROPN
easat-10138	37	8	learning	learning	PROPN
easat-10138	37	9	gate	gate	PROPN
easat-10138	37	10	survival	survival	NOUN
easat-10138	37	11	prospects	prospect	NOUN
easat-10138	37	12	of	of	ADP
easat-10138	37	13	this	this	DET
easat-10138	37	14	malignancy	malignancy	NOUN
easat-10138	37	15	and	and	CCONJ
easat-10138	37	16	concurrently	concurrently	ADV
easat-10138	37	17	reduces	reduce	VERB
easat-10138	37	18	treatment	treatment	NOUN
easat-10138	37	19	expenses	expense	NOUN
easat-10138	37	20	.	.	PUNCT
easat-10138	38	1	significant	significant	ADJ
easat-10138	38	2	progress	progress	NOUN
easat-10138	38	3	has	have	AUX
easat-10138	38	4	been	be	AUX
easat-10138	38	5	made	make	VERB
easat-10138	38	6	in	in	ADP
easat-10138	38	7	radiographic	radiographic	ADJ
easat-10138	38	8	imaging	imaging	NOUN
easat-10138	38	9	,	,	PUNCT
easat-10138	38	10	including	include	VERB
easat-10138	38	11	advancements	advancement	NOUN
easat-10138	38	12	in	in	ADP
easat-10138	38	13	three	three	NUM
easat-10138	38	14	-	-	PUNCT
easat-10138	38	15	dimensional	dimensional	ADJ
easat-10138	38	16	mammography	mammography	NOUN
easat-10138	38	17	,	,	PUNCT
easat-10138	38	18	computed	compute	VERB
easat-10138	38	19	tomography	tomography	NOUN
easat-10138	38	20	(	(	PUNCT
easat-10138	38	21	ct	ct	NOUN
easat-10138	38	22	)	)	PUNCT
easat-10138	38	23	scans	scan	NOUN
easat-10138	38	24	,	,	PUNCT
easat-10138	38	25	histopathological	histopathological	ADJ
easat-10138	38	26	imaging	imaging	NOUN
easat-10138	38	27	,	,	PUNCT
easat-10138	38	28	and	and	CCONJ
easat-10138	38	29	magnetic	magnetic	ADJ
easat-10138	38	30	resonance	resonance	NOUN
easat-10138	38	31	imaging	imaging	NOUN
easat-10138	38	32	(	(	PUNCT
easat-10138	38	33	mri	mri	NOUN
easat-10138	38	34	)	)	PUNCT
easat-10138	38	35	.	.	PUNCT
easat-10138	39	1	utilizing	utilize	VERB
easat-10138	39	2	any	any	PRON
easat-10138	39	3	of	of	ADP
easat-10138	39	4	these	these	DET
easat-10138	39	5	imaging	imaging	NOUN
easat-10138	39	6	modalities	modality	NOUN
easat-10138	39	7	,	,	PUNCT
easat-10138	39	8	radiologists	radiologist	NOUN
easat-10138	39	9	and	and	CCONJ
easat-10138	39	10	pathologists	pathologist	NOUN
easat-10138	39	11	can	can	AUX
easat-10138	39	12	potentially	potentially	ADV
easat-10138	39	13	identify	identify	VERB
easat-10138	39	14	breast	breast	NOUN
easat-10138	39	15	cancer	cancer	NOUN
easat-10138	39	16	at	at	ADP
easat-10138	39	17	an	an	DET
easat-10138	39	18	initial	initial	ADJ
easat-10138	39	19	stage	stage	NOUN
easat-10138	39	20	.	.	PUNCT
easat-10138	40	1	this	this	DET
easat-10138	40	2	method	method	NOUN
easat-10138	40	3	has	have	VERB
easat-10138	40	4	a	a	DET
easat-10138	40	5	considerable	considerable	ADJ
easat-10138	40	6	mistake	mistake	NOUN
easat-10138	40	7	rate	rate	NOUN
easat-10138	40	8	and	and	CCONJ
easat-10138	40	9	incurs	incur	VERB
easat-10138	40	10	high	high	ADJ
easat-10138	40	11	costs	cost	NOUN
easat-10138	40	12	[	[	X
easat-10138	40	13	5	5	NUM
easat-10138	40	14	]	]	PUNCT
easat-10138	40	15	.	.	PUNCT
easat-10138	41	1	breast	breast	NOUN
easat-10138	41	2	cancer	cancer	NOUN
easat-10138	41	3	is	be	AUX
easat-10138	41	4	the	the	DET
easat-10138	41	5	second	second	ADJ
easat-10138	41	6	leading	leading	ADJ
easat-10138	41	7	cause	cause	NOUN
easat-10138	41	8	of	of	ADP
easat-10138	41	9	cancer	cancer	NOUN
easat-10138	41	10	-	-	PUNCT
easat-10138	41	11	related	relate	VERB
easat-10138	41	12	mortality	mortality	NOUN
easat-10138	41	13	among	among	ADP
easat-10138	41	14	women	woman	NOUN
easat-10138	41	15	.	.	PUNCT
easat-10138	42	1	precise	precise	ADJ
easat-10138	42	2	survival	survival	NOUN
easat-10138	42	3	prognosis	prognosis	NOUN
easat-10138	42	4	constitutes	constitute	VERB
easat-10138	42	5	an	an	DET
easat-10138	42	6	essential	essential	ADJ
easat-10138	42	7	objective	objective	NOUN
easat-10138	42	8	in	in	ADP
easat-10138	42	9	the	the	DET
easat-10138	42	10	prognosis	prognosis	NOUN
easat-10138	42	11	of	of	ADP
easat-10138	42	12	individuals	individual	NOUN
easat-10138	42	13	with	with	ADP
easat-10138	42	14	breast	breast	NOUN
easat-10138	42	15	cancer	cancer	NOUN
easat-10138	42	16	,	,	PUNCT
easat-10138	42	17	as	as	SCONJ
easat-10138	42	18	it	it	PRON
easat-10138	42	19	assists	assist	VERB
easat-10138	42	20	medical	medical	ADJ
easat-10138	42	21	practitioners	practitioner	NOUN
easat-10138	42	22	in	in	ADP
easat-10138	42	23	making	make	VERB
easat-10138	42	24	prudent	prudent	ADJ
easat-10138	42	25	choices	choice	NOUN
easat-10138	42	26	and	and	CCONJ
easat-10138	42	27	directing	direct	VERB
easat-10138	42	28	suitable	suitable	ADJ
easat-10138	42	29	treatments	treatment	NOUN
easat-10138	42	30	[	[	X
easat-10138	42	31	6	6	NUM
easat-10138	42	32	]	]	PUNCT
easat-10138	42	33	.	.	PUNCT
easat-10138	43	1	radiologists	radiologist	NOUN
easat-10138	43	2	evaluate	evaluate	VERB
easat-10138	43	3	mammograms	mammogram	NOUN
easat-10138	43	4	to	to	PART
easat-10138	43	5	help	help	VERB
easat-10138	43	6	discover	discover	VERB
easat-10138	43	7	worrisome	worrisome	ADJ
easat-10138	43	8	breast	breast	NOUN
easat-10138	43	9	lesions	lesion	NOUN
easat-10138	43	10	and	and	CCONJ
easat-10138	43	11	detect	detect	VERB
easat-10138	43	12	large	large	ADJ
easat-10138	43	13	tumors	tumor	NOUN
easat-10138	43	14	in	in	ADP
easat-10138	43	15	the	the	DET
easat-10138	43	16	context	context	NOUN
easat-10138	43	17	of	of	ADP
easat-10138	43	18	the	the	DET
easat-10138	43	19	assessment	assessment	NOUN
easat-10138	43	20	of	of	ADP
easat-10138	43	21	breast	breast	NOUN
easat-10138	43	22	cancer	cancer	NOUN
easat-10138	43	23	.	.	PUNCT
easat-10138	44	1	artificial	artificial	ADJ
easat-10138	44	2	intelligence	intelligence	NOUN
easat-10138	44	3	(	(	PUNCT
easat-10138	44	4	ai	ai	NOUN
easat-10138	44	5	)	)	PUNCT
easat-10138	44	6	techniques	technique	NOUN
easat-10138	44	7	offer	offer	VERB
easat-10138	44	8	automated	automate	VERB
easat-10138	44	9	methods	method	NOUN
easat-10138	44	10	for	for	ADP
easat-10138	44	11	segmenting	segment	VERB
easat-10138	44	12	breast	breast	NOUN
easat-10138	44	13	masses	masse	NOUN
easat-10138	44	14	,	,	PUNCT
easat-10138	44	15	aiding	aid	VERB
easat-10138	44	16	radiologists	radiologist	NOUN
easat-10138	44	17	in	in	ADP
easat-10138	44	18	their	their	PRON
easat-10138	44	19	diagnostic	diagnostic	ADJ
easat-10138	44	20	processes	process	NOUN
easat-10138	44	21	.	.	PUNCT
easat-10138	45	1	sophisticated	sophisticated	ADJ
easat-10138	45	2	prototypes	prototype	NOUN
easat-10138	45	3	for	for	ADP
easat-10138	45	4	segmenting	segment	VERB
easat-10138	45	5	medical	medical	ADJ
easat-10138	45	6	images	image	NOUN
easat-10138	45	7	demonstrated	demonstrate	VERB
easat-10138	45	8	promising	promise	VERB
easat-10138	45	9	outcomes	outcome	NOUN
easat-10138	45	10	in	in	ADP
easat-10138	45	11	mammography	mammography	NOUN
easat-10138	45	12	.	.	PUNCT
easat-10138	46	1	cardiovascular	cardiovascular	ADJ
easat-10138	46	2	disease	disease	NOUN
easat-10138	46	3	is	be	AUX
easat-10138	46	4	the	the	DET
easat-10138	46	5	primary	primary	ADJ
easat-10138	46	6	cause	cause	NOUN
easat-10138	46	7	of	of	ADP
easat-10138	46	8	death	death	NOUN
easat-10138	46	9	among	among	ADP
easat-10138	46	10	women	woman	NOUN
easat-10138	46	11	,	,	PUNCT
easat-10138	46	12	followed	follow	VERB
easat-10138	46	13	by	by	ADP
easat-10138	46	14	breast	breast	NOUN
easat-10138	46	15	cancer	cancer	NOUN
easat-10138	46	16	.	.	PUNCT
easat-10138	47	1	nonetheless	nonetheless	ADV
easat-10138	47	2	,	,	PUNCT
easat-10138	47	3	the	the	DET
easat-10138	47	4	etiology	etiology	NOUN
easat-10138	47	5	of	of	ADP
easat-10138	47	6	breast	breast	NOUN
easat-10138	47	7	cancer	cancer	NOUN
easat-10138	47	8	proliferation	proliferation	NOUN
easat-10138	47	9	remains	remain	VERB
easat-10138	47	10	elusive	elusive	ADJ
easat-10138	47	11	despite	despite	SCONJ
easat-10138	47	12	the	the	DET
easat-10138	47	13	disease	disease	NOUN
easat-10138	47	14	's	's	PART
easat-10138	47	15	significant	significant	ADJ
easat-10138	47	16	frequency	frequency	NOUN
easat-10138	47	17	and	and	CCONJ
easat-10138	47	18	mortality	mortality	NOUN
easat-10138	47	19	rates	rate	NOUN
easat-10138	47	20	.	.	PUNCT
easat-10138	48	1	existing	exist	VERB
easat-10138	48	2	methods	method	NOUN
easat-10138	48	3	do	do	AUX
easat-10138	48	4	not	not	PART
easat-10138	48	5	facilitate	facilitate	VERB
easat-10138	48	6	the	the	DET
easat-10138	48	7	prevention	prevention	NOUN
easat-10138	48	8	of	of	ADP
easat-10138	48	9	breast	breast	NOUN
easat-10138	48	10	cancer	cancer	NOUN
easat-10138	48	11	.	.	PUNCT
easat-10138	49	1	patients	patient	NOUN
easat-10138	49	2	with	with	ADP
easat-10138	49	3	breast	breast	NOUN
easat-10138	49	4	cancer	cancer	NOUN
easat-10138	49	5	who	who	PRON
easat-10138	49	6	undergo	undergo	VERB
easat-10138	49	7	early	early	ADJ
easat-10138	49	8	diagnosis	diagnosis	NOUN
easat-10138	49	9	and	and	CCONJ
easat-10138	49	10	treatment	treatment	NOUN
easat-10138	49	11	are	be	AUX
easat-10138	49	12	more	more	ADV
easat-10138	49	13	likely	likely	ADJ
easat-10138	49	14	to	to	PART
easat-10138	49	15	respond	respond	VERB
easat-10138	49	16	positively	positively	ADV
easat-10138	49	17	to	to	ADP
easat-10138	49	18	therapy	therapy	NOUN
easat-10138	49	19	and	and	CCONJ
easat-10138	49	20	achieve	achieve	VERB
easat-10138	49	21	complete	complete	ADJ
easat-10138	49	22	recovery	recovery	NOUN
easat-10138	50	1	[	[	X
easat-10138	50	2	7	7	NUM
easat-10138	50	3	]	]	PUNCT
easat-10138	50	4	.	.	PUNCT
easat-10138	51	1	manual	manual	ADJ
easat-10138	51	2	detection	detection	NOUN
easat-10138	51	3	necessitates	necessitate	VERB
easat-10138	51	4	considerable	considerable	ADJ
easat-10138	51	5	time	time	NOUN
easat-10138	51	6	and	and	CCONJ
easat-10138	51	7	effort	effort	NOUN
easat-10138	51	8	,	,	PUNCT
easat-10138	51	9	and	and	CCONJ
easat-10138	51	10	there	there	PRON
easat-10138	51	11	exists	exist	VERB
easat-10138	51	12	a	a	DET
easat-10138	51	13	possibility	possibility	NOUN
easat-10138	51	14	that	that	SCONJ
easat-10138	51	15	pathologists	pathologist	NOUN
easat-10138	51	16	may	may	AUX
easat-10138	51	17	err	err	VERB
easat-10138	51	18	and	and	CCONJ
easat-10138	51	19	misclassify	misclassify	VERB
easat-10138	51	20	entities	entity	NOUN
easat-10138	51	21	[	[	X
easat-10138	51	22	8	8	NUM
easat-10138	51	23	]	]	PUNCT
easat-10138	51	24	.	.	PUNCT
easat-10138	52	1	in	in	ADP
easat-10138	52	2	this	this	DET
easat-10138	52	3	paper	paper	NOUN
easat-10138	52	4	,	,	PUNCT
easat-10138	52	5	a	a	DET
easat-10138	52	6	system	system	NOUN
easat-10138	52	7	for	for	ADP
easat-10138	52	8	classifying	classify	VERB
easat-10138	52	9	and	and	CCONJ
easat-10138	52	10	predicting	predict	VERB
easat-10138	52	11	the	the	DET
easat-10138	52	12	nature	nature	NOUN
easat-10138	52	13	of	of	ADP
easat-10138	52	14	breast	breast	NOUN
easat-10138	52	15	cancer	cancer	NOUN
easat-10138	52	16	will	will	AUX
easat-10138	52	17	be	be	AUX
easat-10138	52	18	developed	develop	VERB
easat-10138	52	19	using	use	VERB
easat-10138	52	20	a	a	DET
easat-10138	52	21	convolutional	convolutional	ADJ
easat-10138	52	22	neural	neural	ADJ
easat-10138	52	23	network	network	NOUN
easat-10138	52	24	(	(	PUNCT
easat-10138	52	25	cnn	cnn	PROPN
easat-10138	52	26	)	)	PUNCT
easat-10138	52	27	integrated	integrate	VERB
easat-10138	52	28	with	with	ADP
easat-10138	52	29	a	a	DET
easat-10138	52	30	pre	pre	ADJ
easat-10138	52	31	-	-	ADJ
easat-10138	52	32	trained	train	VERB
easat-10138	52	33	cnn	cnn	PROPN
easat-10138	52	34	,	,	PUNCT
easat-10138	52	35	specifically	specifically	ADV
easat-10138	52	36	resnet50	resnet50	NOUN
easat-10138	52	37	.	.	PUNCT
easat-10138	53	1	this	this	DET
easat-10138	53	2	system	system	NOUN
easat-10138	53	3	will	will	AUX
easat-10138	53	4	help	help	VERB
easat-10138	53	5	automatically	automatically	ADV
easat-10138	53	6	discover	discover	VERB
easat-10138	53	7	early	early	ADJ
easat-10138	53	8	breast	breast	NOUN
easat-10138	53	9	cancer	cancer	NOUN
easat-10138	53	10	and	and	CCONJ
easat-10138	53	11	categorize	categorize	VERB
easat-10138	53	12	it	it	PRON
easat-10138	53	13	appropriately	appropriately	ADV
easat-10138	53	14	.	.	PUNCT
easat-10138	54	1	this	this	DET
easat-10138	54	2	experiment	experiment	NOUN
easat-10138	54	3	aims	aim	VERB
easat-10138	54	4	to	to	PART
easat-10138	54	5	develop	develop	VERB
easat-10138	54	6	a	a	DET
easat-10138	54	7	breast	breast	NOUN
easat-10138	54	8	cancer	cancer	NOUN
easat-10138	54	9	prognostication	prognostication	NOUN
easat-10138	54	10	method	method	NOUN
easat-10138	54	11	utilizing	utilize	VERB
easat-10138	54	12	a	a	DET
easat-10138	54	13	pre	pre	ADJ
easat-10138	54	14	-	-	ADJ
easat-10138	54	15	trained	train	VERB
easat-10138	54	16	resnet50	resnet50	NOUN
easat-10138	54	17	model	model	NOUN
easat-10138	54	18	.	.	PUNCT
easat-10138	55	1	the	the	DET
easat-10138	55	2	primary	primary	ADJ
easat-10138	55	3	contributions	contribution	NOUN
easat-10138	55	4	of	of	ADP
easat-10138	55	5	this	this	DET
easat-10138	55	6	study	study	NOUN
easat-10138	55	7	are	be	AUX
easat-10138	55	8	as	as	SCONJ
easat-10138	55	9	follows	follow	VERB
easat-10138	55	10	:	:	PUNCT
easat-10138	55	11	•	•	NUM
easat-10138	55	12	developing	develop	VERB
easat-10138	55	13	an	an	DET
easat-10138	55	14	innovative	innovative	ADJ
easat-10138	55	15	system	system	NOUN
easat-10138	55	16	that	that	PRON
easat-10138	55	17	automatically	automatically	ADV
easat-10138	55	18	predicts	predict	VERB
easat-10138	55	19	the	the	DET
easat-10138	55	20	nature	nature	NOUN
easat-10138	55	21	of	of	ADP
easat-10138	55	22	breast	breast	NOUN
easat-10138	55	23	tumors	tumor	NOUN
easat-10138	55	24	from	from	ADP
easat-10138	55	25	ultrasound	ultrasound	ADJ
easat-10138	55	26	photos	photo	NOUN
easat-10138	55	27	,	,	PUNCT
easat-10138	55	28	enhancing	enhance	VERB
easat-10138	55	29	and	and	CCONJ
easat-10138	55	30	streamlining	streamline	VERB
easat-10138	55	31	the	the	DET
easat-10138	55	32	diagnostic	diagnostic	ADJ
easat-10138	55	33	process	process	NOUN
easat-10138	55	34	.	.	PUNCT
easat-10138	56	1	•	•	ADP
easat-10138	56	2	to	to	PART
easat-10138	56	3	enhance	enhance	VERB
easat-10138	56	4	the	the	DET
easat-10138	56	5	accuracy	accuracy	NOUN
easat-10138	56	6	and	and	CCONJ
easat-10138	56	7	robustness	robustness	NOUN
easat-10138	56	8	of	of	ADP
easat-10138	56	9	breast	breast	NOUN
easat-10138	56	10	tumor	tumor	NOUN
easat-10138	56	11	detection	detection	NOUN
easat-10138	56	12	,	,	PUNCT
easat-10138	56	13	ensuring	ensure	VERB
easat-10138	56	14	reliable	reliable	ADJ
easat-10138	56	15	and	and	CCONJ
easat-10138	56	16	precise	precise	ADJ
easat-10138	56	17	classification	classification	NOUN
easat-10138	56	18	across	across	ADP
easat-10138	56	19	diverse	diverse	ADJ
easat-10138	56	20	datasets	dataset	NOUN
easat-10138	56	21	.	.	PUNCT
easat-10138	57	1	•	•	NUM
easat-10138	57	2	to	to	PART
easat-10138	57	3	create	create	VERB
easat-10138	57	4	a	a	DET
easat-10138	57	5	more	more	ADV
easat-10138	57	6	effective	effective	ADJ
easat-10138	57	7	model	model	NOUN
easat-10138	57	8	that	that	PRON
easat-10138	57	9	can	can	AUX
easat-10138	57	10	detect	detect	VERB
easat-10138	57	11	breast	breast	NOUN
easat-10138	57	12	tumors	tumor	NOUN
easat-10138	57	13	at	at	ADP
easat-10138	57	14	both	both	CCONJ
easat-10138	57	15	early	early	ADJ
easat-10138	57	16	and	and	CCONJ
easat-10138	57	17	advanced	advanced	ADJ
easat-10138	57	18	stages	stage	NOUN
easat-10138	57	19	,	,	PUNCT
easat-10138	57	20	improving	improve	VERB
easat-10138	57	21	quick	quick	ADJ
easat-10138	57	22	action	action	NOUN
easat-10138	57	23	and	and	CCONJ
easat-10138	57	24	treatment	treatment	NOUN
easat-10138	57	25	outcomes	outcome	NOUN
easat-10138	57	26	.	.	PUNCT
easat-10138	58	1	the	the	DET
easat-10138	58	2	structure	structure	NOUN
easat-10138	58	3	of	of	ADP
easat-10138	58	4	this	this	DET
easat-10138	58	5	document	document	NOUN
easat-10138	58	6	is	be	AUX
easat-10138	58	7	as	as	SCONJ
easat-10138	58	8	follows	follow	VERB
easat-10138	58	9	:	:	PUNCT
easat-10138	58	10	section	section	NOUN
easat-10138	58	11	2	2	NUM
easat-10138	58	12	examines	examine	NOUN
easat-10138	58	13	pertinent	pertinent	ADJ
easat-10138	58	14	literature	literature	NOUN
easat-10138	58	15	associated	associate	VERB
easat-10138	58	16	with	with	ADP
easat-10138	58	17	this	this	DET
easat-10138	58	18	research	research	NOUN
easat-10138	58	19	and	and	CCONJ
easat-10138	58	20	the	the	DET
easat-10138	58	21	methodology	methodology	NOUN
easat-10138	58	22	employed	employ	VERB
easat-10138	58	23	in	in	ADP
easat-10138	58	24	this	this	DET
easat-10138	58	25	investigation	investigation	NOUN
easat-10138	58	26	.	.	PUNCT
easat-10138	59	1	section	section	NOUN
easat-10138	59	2	3	3	NUM
easat-10138	59	3	delineates	delineate	VERB
easat-10138	59	4	the	the	DET
easat-10138	59	5	findings	finding	NOUN
easat-10138	59	6	and	and	CCONJ
easat-10138	59	7	assessment	assessment	NOUN
easat-10138	59	8	criteria	criterion	NOUN
easat-10138	59	9	.	.	PUNCT
easat-10138	60	1	section	section	NOUN
easat-10138	60	2	4	4	NUM
easat-10138	60	3	encompasses	encompass	VERB
easat-10138	60	4	the	the	DET
easat-10138	60	5	results	result	NOUN
easat-10138	60	6	and	and	CCONJ
easat-10138	60	7	discussion	discussion	NOUN
easat-10138	60	8	.	.	PUNCT
easat-10138	61	1	section	section	NOUN
easat-10138	61	2	5	5	NUM
easat-10138	61	3	presents	present	VERB
easat-10138	61	4	key	key	ADJ
easat-10138	61	5	observations	observation	NOUN
easat-10138	61	6	,	,	PUNCT
easat-10138	61	7	conclusions	conclusion	NOUN
easat-10138	61	8	,	,	PUNCT
easat-10138	61	9	and	and	CCONJ
easat-10138	61	10	recommendations	recommendation	NOUN
easat-10138	61	11	for	for	ADP
easat-10138	61	12	future	future	ADJ
easat-10138	61	13	research	research	NOUN
easat-10138	61	14	.	.	PUNCT
easat-10138	62	1	2	2	X
easat-10138	62	2	.	.	X
easat-10138	62	3	related	relate	VERB
easat-10138	62	4	works	work	VERB
easat-10138	62	5	the	the	DET
easat-10138	62	6	insufficient	insufficient	ADJ
easat-10138	62	7	representation	representation	NOUN
easat-10138	62	8	of	of	ADP
easat-10138	62	9	individuals	individual	NOUN
easat-10138	62	10	from	from	ADP
easat-10138	62	11	minority	minority	NOUN
easat-10138	62	12	and	and	CCONJ
easat-10138	62	13	underprivileged	underprivileged	ADJ
easat-10138	62	14	groups	group	NOUN
easat-10138	62	15	has	have	AUX
easat-10138	62	16	constrained	constrain	VERB
easat-10138	62	17	the	the	DET
easat-10138	62	18	application	application	NOUN
easat-10138	62	19	of	of	ADP
easat-10138	62	20	biobank	biobank	ADJ
easat-10138	62	21	data	datum	NOUN
easat-10138	62	22	in	in	ADP
easat-10138	62	23	formulating	formulate	VERB
easat-10138	62	24	disease	disease	NOUN
easat-10138	62	25	risk	risk	NOUN
easat-10138	62	26	detection	detection	NOUN
easat-10138	62	27	models	model	NOUN
easat-10138	62	28	applicable	applicable	ADJ
easat-10138	62	29	to	to	ADP
easat-10138	62	30	diverse	diverse	ADJ
easat-10138	62	31	populations	population	NOUN
easat-10138	62	32	,	,	PUNCT
easat-10138	62	33	potentially	potentially	ADV
easat-10138	62	34	worsening	worsen	VERB
easat-10138	62	35	existing	exist	VERB
easat-10138	62	36	health	health	NOUN
easat-10138	62	37	disparities	disparity	NOUN
easat-10138	62	38	,	,	PUNCT
easat-10138	62	39	as	as	SCONJ
easat-10138	62	40	noted	note	VERB
easat-10138	62	41	in	in	ADP
easat-10138	62	42	gu	gu	PROPN
easat-10138	62	43	,	,	PUNCT
easat-10138	62	44	et	et	PROPN
easat-10138	62	45	al	al	PROPN
easat-10138	62	46	.	.	PUNCT
easat-10138	63	1	[	[	X
easat-10138	63	2	9	9	NUM
easat-10138	63	3	]	]	PUNCT
easat-10138	63	4	despite	despite	SCONJ
easat-10138	63	5	the	the	DET
easat-10138	63	6	superior	superior	ADJ
easat-10138	63	7	quality	quality	NOUN
easat-10138	63	8	and	and	CCONJ
easat-10138	63	9	data	datum	NOUN
easat-10138	63	10	-	-	PUNCT
easat-10138	63	11	intensive	intensive	ADJ
easat-10138	63	12	samples	sample	NOUN
easat-10138	63	13	amassed	amass	VERB
easat-10138	63	14	through	through	ADP
easat-10138	63	15	recent	recent	ADJ
easat-10138	63	16	extensive	extensive	ADJ
easat-10138	63	17	biobanks	biobank	NOUN
easat-10138	63	18	.	.	PUNCT
easat-10138	64	1	their	their	PRON
easat-10138	64	2	research	research	NOUN
easat-10138	64	3	introduces	introduce	VERB
easat-10138	64	4	a	a	DET
easat-10138	64	5	transfer	transfer	NOUN
easat-10138	64	6	learning	learn	VERB
easat-10138	64	7	architecture	architecture	NOUN
easat-10138	64	8	utilizing	utilize	VERB
easat-10138	64	9	a	a	DET
easat-10138	64	10	random	random	ADJ
easat-10138	64	11	forest	forest	NOUN
easat-10138	64	12	model	model	NOUN
easat-10138	64	13	(	(	PUNCT
easat-10138	64	14	transrf	transrf	PROPN
easat-10138	64	15	)	)	PUNCT
easat-10138	64	16	to	to	PART
easat-10138	64	17	tackle	tackle	VERB
easat-10138	64	18	this	this	DET
easat-10138	64	19	significant	significant	ADJ
easat-10138	64	20	issue	issue	NOUN
easat-10138	64	21	[	[	X
easat-10138	64	22	10	10	NUM
easat-10138	64	23	,	,	PUNCT
easat-10138	64	24	11	11	NUM
easat-10138	64	25	]	]	PUNCT
easat-10138	64	26	.	.	PUNCT
easat-10138	65	1	to	to	PART
easat-10138	65	2	improve	improve	VERB
easat-10138	65	3	predictive	predictive	ADJ
easat-10138	65	4	accuracy	accuracy	NOUN
easat-10138	65	5	in	in	ADP
easat-10138	65	6	an	an	DET
easat-10138	65	7	underrepresented	underrepresented	ADJ
easat-10138	65	8	target	target	NOUN
easat-10138	65	9	demographic	demographic	ADJ
easat-10138	65	10	with	with	ADP
easat-10138	65	11	a	a	DET
easat-10138	65	12	limited	limited	ADJ
easat-10138	65	13	sample	sample	NOUN
easat-10138	65	14	size	size	NOUN
easat-10138	65	15	,	,	PUNCT
easat-10138	65	16	transrf	transrf	NOUN
easat-10138	65	17	can	can	AUX
easat-10138	65	18	integrate	integrate	VERB
easat-10138	65	19	risk	risk	NOUN
easat-10138	65	20	prediction	prediction	NOUN
easat-10138	65	21	models	model	NOUN
easat-10138	65	22	developed	develop	VERB
easat-10138	65	23	within	within	ADP
easat-10138	65	24	a	a	DET
easat-10138	65	25	source	source	NOUN
easat-10138	65	26	population	population	NOUN
easat-10138	65	27	.	.	PUNCT
easat-10138	66	1	transrf	transrf	PROPN
easat-10138	66	2	is	be	AUX
easat-10138	66	3	based	base	VERB
easat-10138	66	4	on	on	ADP
easat-10138	66	5	a	a	DET
easat-10138	66	6	compilation	compilation	NOUN
easat-10138	66	7	of	of	ADP
easat-10138	66	8	various	various	ADJ
easat-10138	66	9	transfer	transfer	NOUN
easat-10138	66	10	learning	learning	NOUN
easat-10138	66	11	methodologies	methodology	NOUN
easat-10138	66	12	,	,	PUNCT
easat-10138	66	13	each	each	PRON
easat-10138	66	14	targeting	target	VERB
easat-10138	66	15	a	a	DET
easat-10138	66	16	distinct	distinct	ADJ
easat-10138	66	17	type	type	NOUN
easat-10138	66	18	of	of	ADP
easat-10138	66	19	resemblance	resemblance	NOUN
easat-10138	66	20	between	between	ADP
easat-10138	66	21	the	the	DET
easat-10138	66	22	origin	origin	NOUN
easat-10138	66	23	and	and	CCONJ
easat-10138	66	24	destination	destination	NOUN
easat-10138	66	25	group	group	NOUN
easat-10138	66	26	.	.	PUNCT
easat-10138	67	1	the	the	DET
easat-10138	67	2	authors	author	NOUN
easat-10138	67	3	in	in	ADP
easat-10138	67	4	[	[	X
easat-10138	67	5	12	12	NUM
easat-10138	67	6	]	]	PUNCT
easat-10138	67	7	used	use	VERB
easat-10138	67	8	strategies	strategy	NOUN
easat-10138	67	9	proven	prove	VERB
easat-10138	67	10	to	to	PART
easat-10138	67	11	be	be	AUX
easat-10138	67	12	dependable	dependable	ADJ
easat-10138	67	13	and	and	CCONJ
easat-10138	67	14	beneficial	beneficial	ADJ
easat-10138	67	15	across	across	ADP
easat-10138	67	16	various	various	ADJ
easat-10138	67	17	circumstances	circumstance	NOUN
easat-10138	67	18	.	.	PUNCT
easat-10138	68	1	through	through	ADP
easat-10138	68	2	comprehensive	comprehensive	ADJ
easat-10138	68	3	simulations	simulation	NOUN
easat-10138	68	4	,	,	PUNCT
easat-10138	68	5	they	they	PRON
easat-10138	68	6	demonstrated	demonstrate	VERB
easat-10138	68	7	transrf	transrf	PROPN
easat-10138	68	8	's	's	PART
easat-10138	68	9	superior	superior	ADJ
easat-10138	68	10	performance	performance	NOUN
easat-10138	68	11	compared	compare	VERB
easat-10138	68	12	to	to	ADP
easat-10138	68	13	other	other	ADJ
easat-10138	68	14	benchmark	benchmark	NOUN
easat-10138	68	15	approaches	approach	NOUN
easat-10138	68	16	across	across	ADP
easat-10138	68	17	diverse	diverse	ADJ
easat-10138	68	18	data	data	NOUN
easat-10138	68	19	generation	generation	NOUN
easat-10138	68	20	processes	process	NOUN
easat-10138	68	21	.	.	PUNCT
easat-10138	69	1	1400	1400	NUM
easat-10138	69	2	edelweiss	edelweiss	PROPN
easat-10138	69	3	applied	apply	VERB
easat-10138	69	4	science	science	NOUN
easat-10138	69	5	and	and	CCONJ
easat-10138	69	6	technology	technology	NOUN
easat-10138	69	7	issn	issn	PROPN
easat-10138	69	8	:	:	PUNCT
easat-10138	69	9	2576	2576	NUM
easat-10138	69	10	-	-	SYM
easat-10138	69	11	8484	8484	NUM
easat-10138	69	12	vol	vol	NOUN
easat-10138	69	13	.	.	PROPN
easat-10138	70	1	9	9	NUM
easat-10138	70	2	,	,	PUNCT
easat-10138	70	3	no	no	INTJ
easat-10138	70	4	.	.	NOUN
easat-10138	70	5	9	9	NUM
easat-10138	70	6	:	:	SYM
easat-10138	70	7	1398	1398	NUM
easat-10138	70	8	-	-	SYM
easat-10138	70	9	1415	1415	NUM
easat-10138	70	10	,	,	PUNCT
easat-10138	70	11	2025	2025	NUM
easat-10138	70	12	doi	doi	NOUN
easat-10138	70	13	:	:	PUNCT
easat-10138	70	14	10.55214/2576	10.55214/2576	NUM
easat-10138	70	15	-	-	PUNCT
easat-10138	70	16	8484.v9i9.10138	8484.v9i9.10138	NOUN
easat-10138	71	1	©	©	PROPN
easat-10138	71	2	2025	2025	NUM
easat-10138	71	3	by	by	ADP
easat-10138	71	4	the	the	DET
easat-10138	71	5	authors	author	NOUN
easat-10138	71	6	;	;	PUNCT
easat-10138	71	7	licensee	licensee	PROPN
easat-10138	71	8	learning	learning	NOUN
easat-10138	71	9	gate	gate	NOUN
easat-10138	71	10	as	as	SCONJ
easat-10138	71	11	stated	state	VERB
easat-10138	71	12	in	in	ADP
easat-10138	71	13	tan	tan	PROPN
easat-10138	71	14	,	,	PUNCT
easat-10138	71	15	et	et	PROPN
easat-10138	71	16	al	al	PROPN
easat-10138	71	17	.	.	PUNCT
easat-10138	72	1	[	[	X
easat-10138	72	2	13	13	NUM
easat-10138	72	3	]	]	SYM
easat-10138	72	4	ai	ai	NOUN
easat-10138	72	5	-	-	PUNCT
easat-10138	72	6	based	base	VERB
easat-10138	72	7	models	model	NOUN
easat-10138	72	8	are	be	AUX
easat-10138	72	9	extensively	extensively	ADV
easat-10138	72	10	utilized	utilize	VERB
easat-10138	72	11	in	in	ADP
easat-10138	72	12	applications	application	NOUN
easat-10138	72	13	for	for	ADP
easat-10138	72	14	breast	breast	NOUN
easat-10138	72	15	cancer	cancer	NOUN
easat-10138	72	16	diagnostics	diagnostic	NOUN
easat-10138	72	17	.	.	PUNCT
easat-10138	73	1	nonetheless	nonetheless	ADV
easat-10138	73	2	,	,	PUNCT
easat-10138	73	3	most	most	ADJ
easat-10138	73	4	recent	recent	ADJ
easat-10138	73	5	studies	study	NOUN
easat-10138	73	6	have	have	AUX
easat-10138	73	7	predominantly	predominantly	ADV
easat-10138	73	8	been	be	AUX
easat-10138	73	9	conducted	conduct	VERB
easat-10138	73	10	in	in	ADP
easat-10138	73	11	centralized	centralized	ADJ
easat-10138	73	12	learning	learning	NOUN
easat-10138	73	13	(	(	PUNCT
easat-10138	73	14	cl	cl	NOUN
easat-10138	73	15	)	)	PUNCT
easat-10138	73	16	environments	environment	NOUN
easat-10138	73	17	,	,	PUNCT
easat-10138	73	18	heightening	heighten	VERB
easat-10138	73	19	the	the	DET
easat-10138	73	20	threat	threat	NOUN
easat-10138	73	21	to	to	ADP
easat-10138	73	22	privacy	privacy	NOUN
easat-10138	73	23	infringements	infringement	NOUN
easat-10138	73	24	.	.	PUNCT
easat-10138	74	1	furthermore	furthermore	ADV
easat-10138	74	2	,	,	PUNCT
easat-10138	74	3	patients	patient	NOUN
easat-10138	74	4	are	be	AUX
easat-10138	74	5	expected	expect	VERB
easat-10138	74	6	to	to	PART
easat-10138	74	7	have	have	VERB
easat-10138	74	8	an	an	DET
easat-10138	74	9	increased	increase	VERB
easat-10138	74	10	likelihood	likelihood	NOUN
easat-10138	74	11	of	of	ADP
easat-10138	74	12	survival	survival	NOUN
easat-10138	74	13	due	due	ADP
easat-10138	74	14	to	to	ADP
easat-10138	74	15	ai	ai	VERB
easat-10138	74	16	technologies	technology	NOUN
easat-10138	74	17	that	that	SCONJ
easat-10138	74	18	precisely	precisely	ADV
easat-10138	74	19	detect	detect	VERB
easat-10138	74	20	and	and	CCONJ
easat-10138	74	21	pinpoint	pinpoint	NOUN
easat-10138	74	22	lesions	lesion	NOUN
easat-10138	74	23	,	,	PUNCT
easat-10138	74	24	as	as	ADV
easat-10138	74	25	well	well	ADV
easat-10138	74	26	as	as	ADP
easat-10138	74	27	forecast	forecast	NOUN
easat-10138	74	28	cancers	cancer	NOUN
easat-10138	74	29	.	.	PUNCT
easat-10138	75	1	instead	instead	ADV
easat-10138	75	2	of	of	ADP
easat-10138	75	3	creating	create	VERB
easat-10138	75	4	a	a	DET
easat-10138	75	5	centralized	centralized	ADJ
easat-10138	75	6	learning	learning	NOUN
easat-10138	75	7	(	(	PUNCT
easat-10138	75	8	cl	cl	NOUN
easat-10138	75	9	)	)	PUNCT
easat-10138	75	10	facility	facility	NOUN
easat-10138	75	11	,	,	PUNCT
easat-10138	75	12	they	they	PRON
easat-10138	75	13	developed	develop	VERB
easat-10138	75	14	a	a	DET
easat-10138	75	15	federated	federated	ADJ
easat-10138	75	16	learning	learning	NOUN
easat-10138	75	17	(	(	PUNCT
easat-10138	75	18	fl	fl	NOUN
easat-10138	75	19	)	)	PUNCT
easat-10138	75	20	infrastructure	infrastructure	NOUN
easat-10138	75	21	that	that	PRON
easat-10138	75	22	collects	collect	VERB
easat-10138	75	23	attributes	attribute	NOUN
easat-10138	75	24	from	from	ADP
easat-10138	75	25	various	various	ADJ
easat-10138	75	26	contexts	context	NOUN
easat-10138	75	27	to	to	PART
easat-10138	75	28	address	address	VERB
easat-10138	75	29	these	these	DET
easat-10138	75	30	obstacles	obstacle	NOUN
easat-10138	75	31	.	.	PUNCT
easat-10138	76	1	histopathological	histopathological	ADJ
easat-10138	76	2	imaging	imaging	NOUN
easat-10138	76	3	is	be	AUX
easat-10138	76	4	utilized	utilize	VERB
easat-10138	76	5	to	to	PART
easat-10138	76	6	detect	detect	VERB
easat-10138	76	7	breast	breast	NOUN
easat-10138	76	8	tumors	tumor	NOUN
easat-10138	76	9	,	,	PUNCT
easat-10138	76	10	as	as	SCONJ
easat-10138	76	11	stated	state	VERB
easat-10138	76	12	in	in	ADP
easat-10138	76	13	yusoff	yusoff	NOUN
easat-10138	76	14	,	,	PUNCT
easat-10138	76	15	et	et	PROPN
easat-10138	76	16	al	al	PROPN
easat-10138	76	17	.	.	PUNCT
easat-10138	77	1	[	[	X
easat-10138	77	2	14	14	NUM
easat-10138	77	3	]	]	PUNCT
easat-10138	77	4	.	.	PUNCT
easat-10138	78	1	the	the	DET
easat-10138	78	2	vast	vast	ADJ
easat-10138	78	3	number	number	NOUN
easat-10138	78	4	and	and	CCONJ
easat-10138	78	5	complexity	complexity	NOUN
easat-10138	78	6	of	of	ADP
easat-10138	78	7	the	the	DET
easat-10138	78	8	photographs	photograph	NOUN
easat-10138	78	9	render	render	VERB
easat-10138	78	10	this	this	DET
easat-10138	78	11	operation	operation	NOUN
easat-10138	78	12	exceedingly	exceedingly	ADV
easat-10138	78	13	time	time	NOUN
easat-10138	78	14	-	-	PUNCT
easat-10138	78	15	consuming	consume	VERB
easat-10138	78	16	.	.	PUNCT
easat-10138	79	1	timely	timely	ADJ
easat-10138	79	2	detection	detection	NOUN
easat-10138	79	3	of	of	ADP
easat-10138	79	4	breast	breast	NOUN
easat-10138	79	5	cancer	cancer	NOUN
easat-10138	79	6	is	be	AUX
easat-10138	79	7	essential	essential	ADJ
easat-10138	79	8	for	for	ADP
easat-10138	79	9	adequate	adequate	ADJ
easat-10138	79	10	medical	medical	ADJ
easat-10138	79	11	care	care	NOUN
easat-10138	79	12	.	.	PUNCT
easat-10138	80	1	deep	deep	ADJ
easat-10138	80	2	learning	learning	NOUN
easat-10138	80	3	(	(	PUNCT
easat-10138	80	4	dl	dl	INTJ
easat-10138	80	5	)	)	PUNCT
easat-10138	80	6	has	have	AUX
easat-10138	80	7	become	become	VERB
easat-10138	80	8	increasingly	increasingly	ADV
easat-10138	80	9	prominent	prominent	ADJ
easat-10138	80	10	in	in	ADP
easat-10138	80	11	medical	medical	ADJ
easat-10138	80	12	imaging	imaging	NOUN
easat-10138	80	13	solutions	solution	NOUN
easat-10138	80	14	,	,	PUNCT
easat-10138	80	15	exhibiting	exhibit	VERB
easat-10138	80	16	multiple	multiple	ADJ
easat-10138	80	17	degrees	degree	NOUN
easat-10138	80	18	of	of	ADP
easat-10138	80	19	effectiveness	effectiveness	NOUN
easat-10138	80	20	in	in	ADP
easat-10138	80	21	detecting	detect	VERB
easat-10138	80	22	malignant	malignant	ADJ
easat-10138	80	23	images	image	NOUN
easat-10138	80	24	[	[	X
easat-10138	80	25	15	15	NUM
easat-10138	80	26	]	]	PUNCT
easat-10138	80	27	.	.	PUNCT
easat-10138	81	1	nevertheless	nevertheless	ADV
easat-10138	81	2	,	,	PUNCT
easat-10138	81	3	mitigating	mitigate	VERB
easat-10138	81	4	overfitting	overfitting	NOUN
easat-10138	81	5	while	while	SCONJ
easat-10138	81	6	achieving	achieve	VERB
easat-10138	81	7	high	high	ADJ
easat-10138	81	8	precision	precision	NOUN
easat-10138	81	9	remains	remain	VERB
easat-10138	81	10	a	a	DET
easat-10138	81	11	considerable	considerable	ADJ
easat-10138	81	12	challenge	challenge	NOUN
easat-10138	81	13	for	for	ADP
easat-10138	81	14	classification	classification	NOUN
easat-10138	81	15	.	.	PUNCT
easat-10138	82	1	techniques	technique	NOUN
easat-10138	82	2	.	.	PUNCT
easat-10138	83	1	a	a	DET
easat-10138	83	2	further	further	ADJ
easat-10138	83	3	concern	concern	NOUN
easat-10138	83	4	is	be	AUX
easat-10138	83	5	managing	manage	VERB
easat-10138	83	6	uneven	uneven	ADJ
easat-10138	83	7	data	datum	NOUN
easat-10138	83	8	and	and	CCONJ
easat-10138	83	9	inaccurate	inaccurate	ADJ
easat-10138	83	10	labels	label	NOUN
easat-10138	83	11	[	[	X
easat-10138	83	12	16	16	NUM
easat-10138	83	13	]	]	PUNCT
easat-10138	83	14	.	.	PUNCT
easat-10138	84	1	their	their	PRON
easat-10138	84	2	investigation	investigation	NOUN
easat-10138	84	3	assessed	assess	VERB
easat-10138	84	4	existing	exist	VERB
easat-10138	84	5	techniques	technique	NOUN
easat-10138	84	6	for	for	ADP
easat-10138	84	7	categorizing	categorize	VERB
easat-10138	84	8	histological	histological	ADJ
easat-10138	84	9	breast	breast	NOUN
easat-10138	84	10	cancer	cancer	NOUN
easat-10138	84	11	images	image	NOUN
easat-10138	84	12	in	in	ADP
easat-10138	84	13	deep	deep	ADJ
easat-10138	84	14	learning	learning	NOUN
easat-10138	84	15	applications	application	NOUN
easat-10138	84	16	,	,	PUNCT
easat-10138	84	17	as	as	SCONJ
easat-10138	84	18	published	publish	VERB
easat-10138	84	19	in	in	ADP
easat-10138	84	20	research	research	NOUN
easat-10138	84	21	up	up	ADP
easat-10138	84	22	to	to	ADP
easat-10138	84	23	november	november	PROPN
easat-10138	84	24	2022	2022	NUM
easat-10138	84	25	.	.	PUNCT
easat-10138	85	1	the	the	DET
easat-10138	85	2	study	study	NOUN
easat-10138	85	3	results	result	NOUN
easat-10138	85	4	indicate	indicate	VERB
easat-10138	85	5	that	that	SCONJ
easat-10138	85	6	the	the	DET
easat-10138	85	7	most	most	ADV
easat-10138	85	8	sophisticated	sophisticated	ADJ
easat-10138	85	9	approaches	approach	NOUN
easat-10138	85	10	now	now	ADV
easat-10138	85	11	employed	employ	VERB
easat-10138	85	12	are	be	AUX
easat-10138	85	13	deep	deep	ADJ
easat-10138	85	14	learning	learning	NOUN
easat-10138	85	15	methods	method	NOUN
easat-10138	85	16	,	,	PUNCT
easat-10138	85	17	specifically	specifically	ADV
easat-10138	85	18	convolutional	convolutional	ADJ
easat-10138	85	19	neural	neural	ADJ
easat-10138	85	20	networks	network	NOUN
easat-10138	85	21	and	and	CCONJ
easat-10138	85	22	their	their	PRON
easat-10138	85	23	hybrids	hybrid	NOUN
easat-10138	85	24	.	.	PUNCT
easat-10138	86	1	to	to	PART
easat-10138	86	2	identify	identify	VERB
easat-10138	86	3	a	a	DET
easat-10138	86	4	novel	novel	ADJ
easat-10138	86	5	methodology	methodology	NOUN
easat-10138	86	6	,	,	PUNCT
easat-10138	86	7	it	it	PRON
easat-10138	86	8	is	be	AUX
easat-10138	86	9	essential	essential	ADJ
easat-10138	86	10	to	to	PART
easat-10138	86	11	examine	examine	VERB
easat-10138	86	12	the	the	DET
easat-10138	86	13	current	current	ADJ
easat-10138	86	14	deep	deep	ADJ
easat-10138	86	15	learning	learning	NOUN
easat-10138	86	16	techniques	technique	NOUN
easat-10138	86	17	and	and	CCONJ
easat-10138	86	18	their	their	PRON
easat-10138	86	19	hybrid	hybrid	ADJ
easat-10138	86	20	applications	application	NOUN
easat-10138	86	21	through	through	ADP
easat-10138	86	22	case	case	NOUN
easat-10138	86	23	studies	study	NOUN
easat-10138	86	24	and	and	CCONJ
easat-10138	86	25	comparative	comparative	ADJ
easat-10138	86	26	analyses	analysis	NOUN
easat-10138	86	27	.	.	PUNCT
easat-10138	87	1	the	the	DET
easat-10138	87	2	authors	author	NOUN
easat-10138	87	3	in	in	ADP
easat-10138	87	4	awotunde	awotunde	ADJ
easat-10138	87	5	,	,	PUNCT
easat-10138	87	6	et	et	PROPN
easat-10138	87	7	al	al	PROPN
easat-10138	87	8	.	.	PUNCT
easat-10138	88	1	[	[	X
easat-10138	88	2	17	17	NUM
easat-10138	88	3	]	]	PUNCT
easat-10138	88	4	presented	present	VERB
easat-10138	88	5	a	a	DET
easat-10138	88	6	method	method	NOUN
easat-10138	88	7	for	for	ADP
easat-10138	88	8	categorizing	categorize	VERB
easat-10138	88	9	and	and	CCONJ
easat-10138	88	10	utilizing	utilize	VERB
easat-10138	88	11	regions	region	NOUN
easat-10138	88	12	of	of	ADP
easat-10138	88	13	significance	significance	NOUN
easat-10138	88	14	to	to	ADP
easat-10138	88	15	segment	segment	NOUN
easat-10138	88	16	populations	population	NOUN
easat-10138	88	17	identified	identify	VERB
easat-10138	88	18	in	in	ADP
easat-10138	88	19	mammographic	mammographic	ADJ
easat-10138	88	20	images	image	NOUN
easat-10138	88	21	.	.	PUNCT
easat-10138	89	1	an	an	DET
easat-10138	89	2	imprecise	imprecise	ADV
easat-10138	89	3	active	active	ADJ
easat-10138	89	4	contour	contour	NOUN
easat-10138	89	5	model	model	NOUN
easat-10138	89	6	,	,	PUNCT
easat-10138	89	7	developed	develop	VERB
easat-10138	89	8	by	by	ADP
easat-10138	89	9	integrating	integrate	VERB
easat-10138	89	10	the	the	DET
easat-10138	89	11	chan	chan	PROPN
easat-10138	89	12	-	-	PUNCT
easat-10138	89	13	vese	vese	PROPN
easat-10138	89	14	and	and	CCONJ
easat-10138	89	15	fuzzy	fuzzy	ADJ
easat-10138	89	16	c	c	NOUN
easat-10138	89	17	-	-	PUNCT
easat-10138	89	18	means	mean	NOUN
easat-10138	89	19	models	model	NOUN
easat-10138	89	20	,	,	PUNCT
easat-10138	89	21	is	be	AUX
easat-10138	89	22	employed	employ	VERB
easat-10138	89	23	for	for	ADP
easat-10138	89	24	mass	mass	ADJ
easat-10138	89	25	segmentation	segmentation	NOUN
easat-10138	89	26	.	.	PUNCT
easat-10138	90	1	once	once	SCONJ
easat-10138	90	2	the	the	DET
easat-10138	90	3	masses	masse	NOUN
easat-10138	90	4	are	be	AUX
easat-10138	90	5	segmented	segment	VERB
easat-10138	90	6	,	,	PUNCT
easat-10138	90	7	their	their	PRON
easat-10138	90	8	shape	shape	NOUN
easat-10138	90	9	and	and	CCONJ
easat-10138	90	10	margin	margin	NOUN
easat-10138	90	11	characteristics	characteristic	NOUN
easat-10138	90	12	are	be	AUX
easat-10138	90	13	extracted	extract	VERB
easat-10138	90	14	to	to	PART
easat-10138	90	15	determine	determine	VERB
easat-10138	90	16	whether	whether	SCONJ
easat-10138	90	17	they	they	PRON
easat-10138	90	18	are	be	AUX
easat-10138	90	19	benign	benign	ADJ
easat-10138	90	20	or	or	CCONJ
easat-10138	90	21	malignant	malignant	ADJ
easat-10138	90	22	.	.	PUNCT
easat-10138	91	1	the	the	DET
easat-10138	91	2	resulting	result	VERB
easat-10138	91	3	attributes	attribute	NOUN
easat-10138	91	4	typically	typically	ADV
easat-10138	91	5	display	display	VERB
easat-10138	91	6	imprecision	imprecision	NOUN
easat-10138	91	7	and	and	CCONJ
easat-10138	91	8	convey	convey	VERB
easat-10138	91	9	a	a	DET
easat-10138	91	10	confusing	confusing	ADJ
easat-10138	91	11	image	image	NOUN
easat-10138	91	12	.	.	PUNCT
easat-10138	92	1	consequently	consequently	ADV
easat-10138	92	2	,	,	PUNCT
easat-10138	92	3	they	they	PRON
easat-10138	92	4	propose	propose	VERB
easat-10138	92	5	employing	employ	VERB
easat-10138	92	6	possibility	possibility	NOUN
easat-10138	92	7	theory	theory	NOUN
easat-10138	92	8	for	for	ADP
easat-10138	92	9	analysis	analysis	NOUN
easat-10138	92	10	to	to	PART
easat-10138	92	11	tackle	tackle	VERB
easat-10138	92	12	the	the	DET
easat-10138	92	13	imprecise	imprecise	ADJ
easat-10138	92	14	and	and	CCONJ
easat-10138	92	15	unclear	unclear	ADJ
easat-10138	92	16	characteristics	characteristic	NOUN
easat-10138	92	17	.	.	PUNCT
easat-10138	93	1	the	the	DET
easat-10138	93	2	experimental	experimental	ADJ
easat-10138	93	3	findings	finding	NOUN
easat-10138	93	4	from	from	ADP
easat-10138	93	5	regions	region	NOUN
easat-10138	93	6	of	of	ADP
easat-10138	93	7	interest	interest	NOUN
easat-10138	93	8	(	(	PUNCT
easat-10138	93	9	rois	rois	PROPN
easat-10138	93	10	)	)	PUNCT
easat-10138	93	11	obtained	obtain	VERB
easat-10138	93	12	from	from	ADP
easat-10138	93	13	the	the	DET
easat-10138	93	14	mias	mias	PROPN
easat-10138	93	15	database	database	PROPN
easat-10138	93	16	demonstrate	demonstrate	VERB
easat-10138	93	17	that	that	SCONJ
easat-10138	93	18	their	their	PRON
easat-10138	93	19	proposed	propose	VERB
easat-10138	93	20	strategy	strategy	NOUN
easat-10138	93	21	produces	produce	VERB
easat-10138	93	22	accurate	accurate	ADJ
easat-10138	93	23	mass	mass	NOUN
easat-10138	93	24	sorting	sort	VERB
easat-10138	93	25	and	and	CCONJ
easat-10138	93	26	segmenting	segment	VERB
easat-10138	93	27	outcomes	outcome	NOUN
easat-10138	93	28	.	.	PUNCT
easat-10138	94	1	to	to	PART
easat-10138	94	2	classify	classify	VERB
easat-10138	94	3	breast	breast	NOUN
easat-10138	94	4	cancer	cancer	NOUN
easat-10138	94	5	,	,	PUNCT
easat-10138	94	6	authors	author	NOUN
easat-10138	94	7	in	in	ADP
easat-10138	94	8	gupta	gupta	PROPN
easat-10138	94	9	,	,	PUNCT
easat-10138	94	10	et	et	PROPN
easat-10138	94	11	al	al	PROPN
easat-10138	94	12	.	.	PUNCT
easat-10138	95	1	[	[	X
easat-10138	95	2	18	18	NUM
easat-10138	95	3	]	]	PUNCT
easat-10138	95	4	traced	trace	VERB
easat-10138	95	5	the	the	DET
easat-10138	95	6	history	history	NOUN
easat-10138	95	7	of	of	ADP
easat-10138	95	8	feature	feature	NOUN
easat-10138	95	9	generation	generation	NOUN
easat-10138	95	10	techniques	technique	NOUN
easat-10138	95	11	that	that	PRON
easat-10138	95	12	select	select	VERB
easat-10138	95	13	relevant	relevant	ADJ
easat-10138	95	14	attributes	attribute	NOUN
easat-10138	95	15	from	from	ADP
easat-10138	95	16	retrieved	retrieve	VERB
easat-10138	95	17	information	information	NOUN
easat-10138	95	18	.	.	PUNCT
easat-10138	96	1	the	the	DET
easat-10138	96	2	breast	breast	NOUN
easat-10138	96	3	images	image	NOUN
easat-10138	96	4	employed	employ	VERB
easat-10138	96	5	in	in	ADP
easat-10138	96	6	creating	create	VERB
easat-10138	96	7	their	their	PRON
easat-10138	96	8	system	system	NOUN
easat-10138	96	9	were	be	AUX
easat-10138	96	10	sourced	source	VERB
easat-10138	96	11	from	from	ADP
easat-10138	96	12	a	a	DET
easat-10138	96	13	segmented	segment	VERB
easat-10138	96	14	database	database	NOUN
easat-10138	96	15	.	.	PUNCT
easat-10138	97	1	authors	author	NOUN
easat-10138	97	2	in	in	ADP
easat-10138	97	3	shravya	shravya	PROPN
easat-10138	97	4	,	,	PUNCT
easat-10138	97	5	et	et	PROPN
easat-10138	97	6	al	al	PROPN
easat-10138	97	7	.	.	PUNCT
easat-10138	98	1	[	[	X
easat-10138	98	2	19	19	NUM
easat-10138	98	3	]	]	PUNCT
easat-10138	98	4	used	use	VERB
easat-10138	98	5	the	the	DET
easat-10138	98	6	gray	gray	ADJ
easat-10138	98	7	level	level	NOUN
easat-10138	98	8	co	co	NOUN
easat-10138	98	9	-	-	NOUN
easat-10138	98	10	occurrence	occurrence	ADJ
easat-10138	98	11	matrix	matrix	NOUN
easat-10138	98	12	to	to	PART
easat-10138	98	13	extract	extract	VERB
easat-10138	98	14	distinguishing	distinguish	VERB
easat-10138	98	15	patterns	pattern	NOUN
easat-10138	98	16	from	from	ADP
easat-10138	98	17	the	the	DET
easat-10138	98	18	segmented	segment	VERB
easat-10138	98	19	breast	breast	NOUN
easat-10138	98	20	images	image	NOUN
easat-10138	98	21	.	.	PUNCT
easat-10138	99	1	the	the	DET
easat-10138	99	2	randomized	randomized	ADJ
easat-10138	99	3	feature	feature	NOUN
easat-10138	99	4	selection	selection	NOUN
easat-10138	99	5	method	method	NOUN
easat-10138	99	6	was	be	AUX
easat-10138	99	7	employed	employ	VERB
easat-10138	99	8	to	to	PART
easat-10138	99	9	choose	choose	VERB
easat-10138	99	10	attributes	attribute	NOUN
easat-10138	99	11	from	from	ADP
easat-10138	99	12	the	the	DET
easat-10138	99	13	obtained	obtain	VERB
easat-10138	99	14	features	feature	NOUN
easat-10138	99	15	.	.	PUNCT
easat-10138	100	1	breast	breast	NOUN
easat-10138	100	2	photos	photo	NOUN
easat-10138	100	3	were	be	AUX
easat-10138	100	4	categorized	categorize	VERB
easat-10138	100	5	as	as	ADP
easat-10138	100	6	benign	benign	ADJ
easat-10138	100	7	,	,	PUNCT
easat-10138	100	8	malignant	malignant	ADJ
easat-10138	100	9	,	,	PUNCT
easat-10138	100	10	or	or	CCONJ
easat-10138	100	11	normal	normal	ADJ
easat-10138	100	12	using	use	VERB
easat-10138	100	13	the	the	DET
easat-10138	100	14	k	k	NOUN
easat-10138	100	15	-	-	PUNCT
easat-10138	100	16	nearest	near	ADJ
easat-10138	100	17	neighbor	neighbor	NOUN
easat-10138	100	18	(	(	PUNCT
easat-10138	100	19	knn	knn	PROPN
easat-10138	100	20	)	)	PUNCT
easat-10138	100	21	algorithm	algorithm	NOUN
easat-10138	100	22	,	,	PUNCT
easat-10138	100	23	depending	depend	VERB
easat-10138	100	24	on	on	ADP
easat-10138	100	25	selected	select	VERB
easat-10138	100	26	criteria	criterion	NOUN
easat-10138	100	27	[	[	X
easat-10138	100	28	1	1	NUM
easat-10138	100	29	,	,	PUNCT
easat-10138	100	30	20	20	NUM
easat-10138	100	31	]	]	PUNCT
easat-10138	100	32	.	.	PUNCT
easat-10138	101	1	the	the	DET
easat-10138	101	2	overall	overall	ADJ
easat-10138	101	3	accuracy	accuracy	NOUN
easat-10138	101	4	,	,	PUNCT
easat-10138	101	5	sensitivity	sensitivity	NOUN
easat-10138	101	6	,	,	PUNCT
easat-10138	101	7	and	and	CCONJ
easat-10138	101	8	specificity	specificity	NOUN
easat-10138	101	9	of	of	ADP
easat-10138	101	10	their	their	PRON
easat-10138	101	11	system	system	NOUN
easat-10138	101	12	were	be	AUX
easat-10138	101	13	evaluated	evaluate	VERB
easat-10138	101	14	.	.	PUNCT
easat-10138	102	1	the	the	DET
easat-10138	102	2	allocated	allocate	VERB
easat-10138	102	3	feature	feature	NOUN
easat-10138	102	4	acquisition	acquisition	NOUN
easat-10138	102	5	technique	technique	NOUN
easat-10138	102	6	,	,	PUNCT
easat-10138	102	7	combined	combine	VERB
easat-10138	102	8	with	with	ADP
easat-10138	102	9	the	the	DET
easat-10138	102	10	knn	knn	PROPN
easat-10138	102	11	classifier	classifier	PROPN
easat-10138	102	12	,	,	PUNCT
easat-10138	102	13	yielded	yield	VERB
easat-10138	102	14	a	a	DET
easat-10138	102	15	precision	precision	NOUN
easat-10138	102	16	of	of	ADP
easat-10138	102	17	87.04	87.04	NUM
easat-10138	102	18	%	%	NOUN
easat-10138	102	19	,	,	PUNCT
easat-10138	102	20	a	a	DET
easat-10138	102	21	specificity	specificity	NOUN
easat-10138	102	22	of	of	ADP
easat-10138	102	23	87.65	87.65	NUM
easat-10138	102	24	%	%	NOUN
easat-10138	102	25	,	,	PUNCT
easat-10138	102	26	and	and	CCONJ
easat-10138	102	27	a	a	DET
easat-10138	102	28	total	total	ADJ
easat-10138	102	29	accuracy	accuracy	NOUN
easat-10138	102	30	of	of	ADP
easat-10138	102	31	87.41	87.41	NUM
easat-10138	102	32	%	%	NOUN
easat-10138	102	33	.	.	PUNCT
easat-10138	103	1	in	in	ADP
easat-10138	103	2	pei	pei	PROPN
easat-10138	103	3	,	,	PUNCT
easat-10138	103	4	et	et	PROPN
easat-10138	103	5	al	al	PROPN
easat-10138	103	6	.	.	PUNCT
easat-10138	104	1	[	[	X
easat-10138	104	2	12	12	NUM
easat-10138	104	3	]	]	PUNCT
easat-10138	104	4	the	the	DET
easat-10138	104	5	authors	author	NOUN
easat-10138	104	6	circumvented	circumvent	VERB
easat-10138	104	7	the	the	DET
easat-10138	104	8	division	division	NOUN
easat-10138	104	9	and	and	CCONJ
easat-10138	104	10	classification	classification	NOUN
easat-10138	104	11	of	of	ADP
easat-10138	104	12	nuclei	nucleus	NOUN
easat-10138	104	13	by	by	ADP
easat-10138	104	14	developing	develop	VERB
easat-10138	104	15	an	an	DET
easat-10138	104	16	automated	automate	VERB
easat-10138	104	17	and	and	CCONJ
easat-10138	104	18	efficient	efficient	ADJ
easat-10138	104	19	technique	technique	NOUN
easat-10138	104	20	for	for	ADP
easat-10138	104	21	evaluating	evaluate	VERB
easat-10138	104	22	cellularity	cellularity	NOUN
easat-10138	104	23	from	from	ADP
easat-10138	104	24	histopathological	histopathological	ADJ
easat-10138	104	25	image	image	NOUN
easat-10138	104	26	segments	segment	NOUN
easat-10138	104	27	,	,	PUNCT
easat-10138	104	28	utilizing	utilize	VERB
easat-10138	104	29	deep	deep	ADJ
easat-10138	104	30	feature	feature	NOUN
easat-10138	104	31	representation	representation	NOUN
easat-10138	104	32	,	,	PUNCT
easat-10138	104	33	tree	tree	NOUN
easat-10138	104	34	boosting	boosting	NOUN
easat-10138	104	35	,	,	PUNCT
easat-10138	104	36	and	and	CCONJ
easat-10138	104	37	support	support	VERB
easat-10138	104	38	vector	vector	NOUN
easat-10138	104	39	machines	machine	NOUN
easat-10138	104	40	(	(	PUNCT
easat-10138	104	41	svm	svm	PROPN
easat-10138	104	42	)	)	PUNCT
easat-10138	104	43	.	.	PUNCT
easat-10138	105	1	compared	compare	VERB
easat-10138	105	2	to	to	ADP
easat-10138	105	3	two	two	NUM
easat-10138	105	4	alternative	alternative	ADJ
easat-10138	105	5	methods	method	NOUN
easat-10138	105	6	(	(	PUNCT
easat-10138	105	7	icc	icc	NOUN
easat-10138	105	8	of	of	ADP
easat-10138	105	9	0.74	0.74	NUM
easat-10138	105	10	with	with	ADP
easat-10138	105	11	a	a	DET
easat-10138	105	12	95	95	NUM
easat-10138	105	13	%	%	NOUN
easat-10138	105	14	ci	ci	NOUN
easat-10138	105	15	of	of	ADP
easat-10138	105	16	(	(	PUNCT
easat-10138	105	17	0.70	0.70	NUM
easat-10138	105	18	,	,	PUNCT
easat-10138	105	19	0.77	0.77	NUM
easat-10138	105	20	)	)	PUNCT
easat-10138	105	21	and	and	CCONJ
easat-10138	105	22	0.83	0.83	NUM
easat-10138	105	23	with	with	ADP
easat-10138	105	24	a	a	DET
easat-10138	105	25	95	95	NUM
easat-10138	105	26	%	%	NOUN
easat-10138	105	27	ci	ci	NOUN
easat-10138	105	28	of	of	ADP
easat-10138	105	29	(	(	PUNCT
easat-10138	105	30	0.79	0.79	NUM
easat-10138	105	31	,	,	PUNCT
easat-10138	105	32	0.86	0.86	NUM
easat-10138	105	33	)	)	PUNCT
easat-10138	105	34	)	)	PUNCT
easat-10138	105	35	,	,	PUNCT
easat-10138	105	36	the	the	DET
easat-10138	105	37	estimations	estimation	NOUN
easat-10138	105	38	produced	produce	VERB
easat-10138	105	39	by	by	ADP
easat-10138	105	40	their	their	PRON
easat-10138	105	41	method	method	NOUN
easat-10138	105	42	exhibit	exhibit	VERB
easat-10138	105	43	a	a	DET
easat-10138	105	44	robust	robust	ADJ
easat-10138	105	45	correlation	correlation	NOUN
easat-10138	105	46	with	with	ADP
easat-10138	105	47	those	those	PRON
easat-10138	105	48	of	of	ADP
easat-10138	105	49	human	human	ADJ
easat-10138	105	50	pathologists	pathologist	NOUN
easat-10138	105	51	,	,	PUNCT
easat-10138	105	52	as	as	SCONJ
easat-10138	105	53	indicated	indicate	VERB
easat-10138	105	54	by	by	ADP
easat-10138	105	55	intraclass	intraclass	NOUN
easat-10138	105	56	correlation	correlation	NOUN
easat-10138	105	57	(	(	PUNCT
easat-10138	105	58	icc	icc	PROPN
easat-10138	105	59	)	)	PUNCT
easat-10138	105	60	of	of	ADP
easat-10138	105	61	0.94	0.94	NUM
easat-10138	105	62	with	with	ADP
easat-10138	105	63	a	a	DET
easat-10138	105	64	95	95	NUM
easat-10138	105	65	%	%	NOUN
easat-10138	105	66	ci	ci	NOUN
easat-10138	105	67	of	of	ADP
easat-10138	105	68	(	(	PUNCT
easat-10138	105	69	0.93	0.93	NUM
easat-10138	105	70	,	,	PUNCT
easat-10138	105	71	0.96	0.96	NUM
easat-10138	105	72	)	)	PUNCT
easat-10138	105	73	,	,	PUNCT
easat-10138	105	74	kendall	kendall	PROPN
easat-10138	105	75	's	's	PART
easat-10138	105	76	tau	tau	PROPN
easat-10138	105	77	of	of	ADP
easat-10138	105	78	0.83	0.83	NUM
easat-10138	105	79	with	with	ADP
easat-10138	105	80	a	a	DET
easat-10138	105	81	95	95	NUM
easat-10138	105	82	%	%	NOUN
easat-10138	105	83	ci	ci	NOUN
easat-10138	105	84	of	of	ADP
easat-10138	105	85	(	(	PUNCT
easat-10138	105	86	0.79	0.79	NUM
easat-10138	105	87	,	,	PUNCT
easat-10138	105	88	0.86	0.86	NUM
easat-10138	105	89	)	)	PUNCT
easat-10138	105	90	,	,	PUNCT
easat-10138	105	91	and	and	CCONJ
easat-10138	105	92	prediction	prediction	NOUN
easat-10138	105	93	probability	probability	NOUN
easat-10138	105	94	of	of	ADP
easat-10138	105	95	0.93	0.93	NUM
easat-10138	105	96	with	with	ADP
easat-10138	105	97	a	a	DET
easat-10138	105	98	95	95	NUM
easat-10138	105	99	%	%	NOUN
easat-10138	105	100	ci	ci	NOUN
easat-10138	105	101	of	of	ADP
easat-10138	105	102	(	(	PUNCT
easat-10138	105	103	0.91	0.91	NUM
easat-10138	105	104	,	,	PUNCT
easat-10138	105	105	0.94	0.94	NUM
easat-10138	105	106	)	)	PUNCT
easat-10138	105	107	.	.	PUNCT
easat-10138	106	1	tumors	tumor	NOUN
easat-10138	106	2	of	of	ADP
easat-10138	106	3	the	the	DET
easat-10138	106	4	breast	breast	NOUN
easat-10138	106	5	are	be	AUX
easat-10138	106	6	the	the	DET
easat-10138	106	7	most	most	ADV
easat-10138	106	8	prevalent	prevalent	ADJ
easat-10138	106	9	malignancy	malignancy	NOUN
easat-10138	106	10	among	among	ADP
easat-10138	106	11	women	woman	NOUN
easat-10138	106	12	and	and	CCONJ
easat-10138	106	13	a	a	DET
easat-10138	106	14	significant	significant	ADJ
easat-10138	106	15	cause	cause	NOUN
easat-10138	106	16	of	of	ADP
easat-10138	106	17	female	female	ADJ
easat-10138	106	18	mortality	mortality	NOUN
easat-10138	106	19	.	.	PUNCT
easat-10138	107	1	advancements	advancement	NOUN
easat-10138	107	2	in	in	ADP
easat-10138	107	3	ai	ai	NOUN
easat-10138	107	4	for	for	ADP
easat-10138	107	5	breast	breast	NOUN
easat-10138	107	6	cancer	cancer	NOUN
easat-10138	107	7	detection	detection	NOUN
easat-10138	107	8	can	can	AUX
easat-10138	107	9	facilitate	facilitate	VERB
easat-10138	107	10	early	early	ADJ
easat-10138	107	11	identification	identification	NOUN
easat-10138	107	12	and	and	CCONJ
easat-10138	107	13	suitable	suitable	ADJ
easat-10138	107	14	treatment	treatment	NOUN
easat-10138	107	15	for	for	ADP
easat-10138	107	16	affected	affected	ADJ
easat-10138	107	17	individuals	individual	NOUN
easat-10138	107	18	,	,	PUNCT
easat-10138	107	19	therefore	therefore	ADV
easat-10138	107	20	reducing	reduce	VERB
easat-10138	107	21	the	the	DET
easat-10138	107	22	mortality	mortality	NOUN
easat-10138	107	23	rate	rate	NOUN
easat-10138	107	24	among	among	ADP
easat-10138	107	25	women	woman	NOUN
easat-10138	107	26	.	.	PUNCT
easat-10138	108	1	current	current	ADJ
easat-10138	108	2	clinical	clinical	ADJ
easat-10138	108	3	detection	detection	NOUN
easat-10138	108	4	technologies	technology	NOUN
easat-10138	108	5	,	,	PUNCT
easat-10138	108	6	such	such	ADJ
easat-10138	108	7	as	as	ADP
easat-10138	108	8	ultrasound	ultrasound	NOUN
easat-10138	108	9	,	,	PUNCT
easat-10138	108	10	mammography	mammography	NOUN
easat-10138	108	11	,	,	PUNCT
easat-10138	108	12	and	and	CCONJ
easat-10138	108	13	mri	mri	NOUN
easat-10138	108	14	,	,	PUNCT
easat-10138	108	15	are	be	AUX
easat-10138	108	16	constrained	constrain	VERB
easat-10138	108	17	in	in	ADP
easat-10138	108	18	their	their	PRON
easat-10138	108	19	capacity	capacity	NOUN
easat-10138	108	20	to	to	PART
easat-10138	108	21	interpret	interpret	VERB
easat-10138	108	22	images	image	NOUN
easat-10138	108	23	accurately	accurately	ADV
easat-10138	108	24	due	due	ADJ
easat-10138	108	25	to	to	ADP
easat-10138	108	26	reliability	reliability	NOUN
easat-10138	108	27	issues	issue	NOUN
easat-10138	108	28	.	.	PUNCT
easat-10138	109	1	the	the	DET
easat-10138	109	2	ability	ability	NOUN
easat-10138	109	3	to	to	PART
easat-10138	109	4	identify	identify	VERB
easat-10138	109	5	early	early	ADJ
easat-10138	109	6	tumors	tumor	NOUN
easat-10138	109	7	,	,	PUNCT
easat-10138	109	8	1401	1401	NUM
easat-10138	109	9	edelweiss	edelweiss	PROPN
easat-10138	109	10	applied	apply	VERB
easat-10138	109	11	science	science	NOUN
easat-10138	109	12	and	and	CCONJ
easat-10138	109	13	technology	technology	NOUN
easat-10138	109	14	issn	issn	PROPN
easat-10138	109	15	:	:	PUNCT
easat-10138	109	16	2576	2576	NUM
easat-10138	109	17	-	-	SYM
easat-10138	109	18	8484	8484	NUM
easat-10138	109	19	vol	vol	NOUN
easat-10138	109	20	.	.	PROPN
easat-10138	110	1	9	9	NUM
easat-10138	110	2	,	,	PUNCT
easat-10138	110	3	no	no	INTJ
easat-10138	110	4	.	.	NOUN
easat-10138	110	5	9	9	NUM
easat-10138	110	6	:	:	SYM
easat-10138	110	7	1398	1398	NUM
easat-10138	110	8	-	-	SYM
easat-10138	110	9	1415	1415	NUM
easat-10138	110	10	,	,	PUNCT
easat-10138	110	11	2025	2025	NUM
easat-10138	110	12	doi	doi	NOUN
easat-10138	110	13	:	:	PUNCT
easat-10138	110	14	10.55214/2576	10.55214/2576	NUM
easat-10138	110	15	-	-	PUNCT
easat-10138	110	16	8484.v9i9.10138	8484.v9i9.10138	NOUN
easat-10138	111	1	©	©	PROPN
easat-10138	111	2	2025	2025	NUM
easat-10138	111	3	by	by	ADP
easat-10138	111	4	the	the	DET
easat-10138	111	5	authors	author	NOUN
easat-10138	111	6	;	;	PUNCT
easat-10138	111	7	licensee	licensee	PROPN
easat-10138	111	8	learning	learning	NOUN
easat-10138	111	9	gate	gate	NOUN
easat-10138	111	10	which	which	PRON
easat-10138	111	11	entails	entail	VERB
easat-10138	111	12	significant	significant	ADJ
easat-10138	111	13	expense	expense	NOUN
easat-10138	111	14	,	,	PUNCT
easat-10138	111	15	is	be	AUX
easat-10138	111	16	hindered	hinder	VERB
easat-10138	111	17	by	by	ADP
easat-10138	111	18	the	the	DET
easat-10138	111	19	pandemic	pandemic	NOUN
easat-10138	111	20	,	,	PUNCT
easat-10138	111	21	necessitating	necessitate	VERB
easat-10138	111	22	an	an	DET
easat-10138	111	23	extended	extended	ADJ
easat-10138	111	24	waiting	waiting	NOUN
easat-10138	111	25	period	period	NOUN
easat-10138	111	26	and	and	CCONJ
easat-10138	111	27	a	a	DET
easat-10138	111	28	complex	complex	ADJ
easat-10138	111	29	procedure	procedure	NOUN
easat-10138	111	30	for	for	ADP
easat-10138	111	31	the	the	DET
easat-10138	111	32	patient	patient	NOUN
easat-10138	111	33	.	.	PUNCT
easat-10138	112	1	the	the	DET
easat-10138	112	2	authors	author	NOUN
easat-10138	112	3	in	in	ADP
easat-10138	112	4	kanber	kanber	PROPN
easat-10138	112	5	,	,	PUNCT
easat-10138	112	6	et	et	PROPN
easat-10138	112	7	al	al	PROPN
easat-10138	112	8	.	.	PUNCT
easat-10138	113	1	[	[	X
easat-10138	113	2	21	21	NUM
easat-10138	113	3	]	]	X
easat-10138	113	4	systematically	systematically	ADV
easat-10138	113	5	studied	study	VERB
easat-10138	113	6	current	current	ADJ
easat-10138	113	7	technological	technological	ADJ
easat-10138	113	8	advancements	advancement	NOUN
easat-10138	113	9	and	and	CCONJ
easat-10138	113	10	diagnostic	diagnostic	ADJ
easat-10138	113	11	methods	method	NOUN
easat-10138	113	12	for	for	ADP
easat-10138	113	13	breast	breast	NOUN
easat-10138	113	14	tumors	tumor	NOUN
easat-10138	113	15	.	.	PUNCT
easat-10138	114	1	they	they	PRON
easat-10138	114	2	also	also	ADV
easat-10138	114	3	examine	examine	VERB
easat-10138	114	4	the	the	DET
easat-10138	114	5	advancements	advancement	NOUN
easat-10138	114	6	and	and	CCONJ
easat-10138	114	7	setbacks	setback	NOUN
easat-10138	114	8	of	of	ADP
easat-10138	114	9	employing	employ	VERB
easat-10138	114	10	ai	ai	VERB
easat-10138	114	11	for	for	ADP
easat-10138	114	12	breast	breast	NOUN
easat-10138	114	13	tumor	tumor	NOUN
easat-10138	114	14	diagnosis	diagnosis	NOUN
easat-10138	114	15	.	.	PUNCT
easat-10138	115	1	advanced	advanced	ADJ
easat-10138	115	2	diagnostic	diagnostic	ADJ
easat-10138	115	3	instruments	instrument	NOUN
easat-10138	115	4	are	be	AUX
easat-10138	115	5	essential	essential	ADJ
easat-10138	115	6	for	for	ADP
easat-10138	115	7	the	the	DET
easat-10138	115	8	quick	quick	ADJ
easat-10138	115	9	detection	detection	NOUN
easat-10138	115	10	of	of	ADP
easat-10138	115	11	breast	breast	NOUN
easat-10138	115	12	carcinoma	carcinoma	NOUN
easat-10138	115	13	(	(	PUNCT
easat-10138	115	14	bc	bc	PROPN
easat-10138	115	15	)	)	PUNCT
easat-10138	115	16	,	,	PUNCT
easat-10138	115	17	a	a	DET
easat-10138	115	18	predominant	predominant	ADJ
easat-10138	115	19	cause	cause	NOUN
easat-10138	115	20	of	of	ADP
easat-10138	115	21	death	death	NOUN
easat-10138	115	22	globally	globally	ADV
easat-10138	115	23	.	.	PUNCT
easat-10138	116	1	in	in	ADP
easat-10138	116	2	yusoff	yusoff	NOUN
easat-10138	116	3	,	,	PUNCT
easat-10138	116	4	et	et	PROPN
easat-10138	116	5	al	al	PROPN
easat-10138	116	6	.	.	PUNCT
easat-10138	117	1	[	[	X
easat-10138	117	2	14	14	NUM
easat-10138	117	3	]	]	PUNCT
easat-10138	117	4	the	the	DET
easat-10138	117	5	authors	author	NOUN
easat-10138	117	6	enhanced	enhance	VERB
easat-10138	117	7	the	the	DET
easat-10138	117	8	capability	capability	NOUN
easat-10138	117	9	for	for	ADP
easat-10138	117	10	breast	breast	NOUN
easat-10138	117	11	cancer	cancer	NOUN
easat-10138	117	12	diagnosis	diagnosis	NOUN
easat-10138	117	13	by	by	ADP
easat-10138	117	14	examining	examine	VERB
easat-10138	117	15	histopathology	histopathology	NOUN
easat-10138	117	16	pictures	picture	NOUN
easat-10138	117	17	with	with	ADP
easat-10138	117	18	advanced	advanced	ADJ
easat-10138	117	19	image	image	NOUN
easat-10138	117	20	processing	processing	NOUN
easat-10138	117	21	methodologies	methodology	NOUN
easat-10138	117	22	and	and	CCONJ
easat-10138	117	23	machine	machine	NOUN
easat-10138	117	24	learning	learning	NOUN
easat-10138	117	25	(	(	PUNCT
easat-10138	117	26	ml	ml	NOUN
easat-10138	117	27	)	)	PUNCT
easat-10138	117	28	.	.	PUNCT
easat-10138	118	1	a	a	DET
easat-10138	118	2	comprehensive	comprehensive	ADJ
easat-10138	118	3	feature	feature	NOUN
easat-10138	118	4	extraction	extraction	NOUN
easat-10138	118	5	(	(	PUNCT
easat-10138	118	6	fe	fe	NOUN
easat-10138	118	7	)	)	PUNCT
easat-10138	118	8	pipeline	pipeline	NOUN
easat-10138	118	9	is	be	AUX
easat-10138	118	10	developed	develop	VERB
easat-10138	118	11	using	use	VERB
easat-10138	118	12	methods	method	NOUN
easat-10138	118	13	such	such	ADJ
easat-10138	118	14	as	as	ADP
easat-10138	118	15	contour	contour	NOUN
easat-10138	118	16	-	-	PUNCT
easat-10138	118	17	based	base	VERB
easat-10138	118	18	feature	feature	NOUN
easat-10138	118	19	extraction	extraction	NOUN
easat-10138	118	20	and	and	CCONJ
easat-10138	118	21	haralick	haralick	NOUN
easat-10138	118	22	texture	texture	NOUN
easat-10138	118	23	features	feature	NOUN
easat-10138	118	24	,	,	PUNCT
easat-10138	118	25	color	color	NOUN
easat-10138	118	26	histogram	histogram	NOUN
easat-10138	118	27	analysis	analysis	NOUN
easat-10138	118	28	,	,	PUNCT
easat-10138	118	29	and	and	CCONJ
easat-10138	118	30	hu	hu	PROPN
easat-10138	118	31	moments	moment	NOUN
easat-10138	118	32	.	.	PUNCT
easat-10138	119	1	the	the	DET
easat-10138	119	2	diagnostic	diagnostic	ADJ
easat-10138	119	3	performance	performance	NOUN
easat-10138	119	4	of	of	ADP
easat-10138	119	5	ten	ten	NUM
easat-10138	119	6	machine	machine	NOUN
easat-10138	119	7	learning	learning	NOUN
easat-10138	119	8	algorithms	algorithm	NOUN
easat-10138	119	9	will	will	AUX
easat-10138	119	10	be	be	AUX
easat-10138	119	11	analyzed	analyze	VERB
easat-10138	119	12	,	,	PUNCT
easat-10138	119	13	including	include	VERB
easat-10138	119	14	lightgbm	lightgbm	X
easat-10138	119	15	(	(	PUNCT
easat-10138	119	16	lgbm	lgbm	NOUN
easat-10138	119	17	)	)	PUNCT
easat-10138	119	18	,	,	PUNCT
easat-10138	119	19	catboost	catboost	NOUN
easat-10138	119	20	,	,	PUNCT
easat-10138	119	21	and	and	CCONJ
easat-10138	119	22	xgboost	xgboost	X
easat-10138	119	23	.	.	PUNCT
easat-10138	120	1	the	the	DET
easat-10138	120	2	assessment	assessment	NOUN
easat-10138	120	3	is	be	AUX
easat-10138	120	4	conducted	conduct	VERB
easat-10138	120	5	systematically	systematically	ADV
easat-10138	120	6	utilizing	utilize	VERB
easat-10138	120	7	the	the	DET
easat-10138	120	8	breakhis	breakhis	ADJ
easat-10138	120	9	dataset	dataset	NOUN
easat-10138	120	10	at	at	ADP
easat-10138	120	11	various	various	ADJ
easat-10138	120	12	magnifications	magnification	NOUN
easat-10138	120	13	.	.	PUNCT
easat-10138	121	1	similarly	similarly	ADV
easat-10138	121	2	,	,	PUNCT
easat-10138	121	3	the	the	DET
easat-10138	121	4	authors	author	NOUN
easat-10138	121	5	in	in	ADP
easat-10138	121	6	hao	hao	PROPN
easat-10138	121	7	,	,	PUNCT
easat-10138	121	8	et	et	PROPN
easat-10138	121	9	al	al	PROPN
easat-10138	121	10	.	.	PUNCT
easat-10138	122	1	[	[	X
easat-10138	122	2	20	20	NUM
easat-10138	122	3	]	]	PUNCT
easat-10138	122	4	conducted	conduct	VERB
easat-10138	122	5	a	a	DET
easat-10138	122	6	pertinent	pertinent	ADJ
easat-10138	122	7	study	study	NOUN
easat-10138	122	8	employing	employing	NOUN
easat-10138	122	9	models	model	NOUN
easat-10138	122	10	such	such	ADJ
easat-10138	122	11	as	as	ADP
easat-10138	122	12	knn	knn	PROPN
easat-10138	122	13	,	,	PUNCT
easat-10138	122	14	svm	svm	ADJ
easat-10138	122	15	,	,	PUNCT
easat-10138	122	16	and	and	CCONJ
easat-10138	122	17	logistic	logistic	ADJ
easat-10138	122	18	regression	regression	NOUN
easat-10138	122	19	on	on	ADP
easat-10138	122	20	breast	breast	NOUN
easat-10138	122	21	tumor	tumor	NOUN
easat-10138	122	22	data	datum	NOUN
easat-10138	122	23	obtained	obtain	VERB
easat-10138	122	24	from	from	ADP
easat-10138	122	25	the	the	DET
easat-10138	122	26	uci	uci	PROPN
easat-10138	122	27	repository	repository	NOUN
easat-10138	122	28	.	.	PUNCT
easat-10138	123	1	each	each	DET
easat-10138	123	2	model	model	NOUN
easat-10138	123	3	is	be	AUX
easat-10138	123	4	assessed	assess	VERB
easat-10138	123	5	and	and	CCONJ
easat-10138	123	6	contrasted	contrast	VERB
easat-10138	123	7	according	accord	VERB
easat-10138	123	8	to	to	ADP
easat-10138	123	9	its	its	PRON
easat-10138	123	10	performance	performance	NOUN
easat-10138	123	11	metrics	metric	NOUN
easat-10138	123	12	,	,	PUNCT
easat-10138	123	13	including	include	VERB
easat-10138	123	14	accuracy	accuracy	NOUN
easat-10138	123	15	,	,	PUNCT
easat-10138	123	16	precision	precision	NOUN
easat-10138	123	17	,	,	PUNCT
easat-10138	123	18	sensitivity	sensitivity	NOUN
easat-10138	123	19	,	,	PUNCT
easat-10138	123	20	specificity	specificity	NOUN
easat-10138	123	21	,	,	PUNCT
easat-10138	123	22	and	and	CCONJ
easat-10138	123	23	false	false	ADJ
easat-10138	123	24	positive	positive	ADJ
easat-10138	123	25	rate	rate	NOUN
easat-10138	123	26	.	.	PUNCT
easat-10138	124	1	the	the	DET
easat-10138	124	2	scientific	scientific	ADJ
easat-10138	124	3	python	python	PROPN
easat-10138	124	4	development	development	NOUN
easat-10138	124	5	environment	environment	PROPN
easat-10138	124	6	,	,	PUNCT
easat-10138	124	7	spyder	spyder	NOUN
easat-10138	124	8	,	,	PUNCT
easat-10138	124	9	enables	enable	VERB
easat-10138	124	10	the	the	DET
easat-10138	124	11	coding	coding	NOUN
easat-10138	124	12	and	and	CCONJ
easat-10138	124	13	execution	execution	NOUN
easat-10138	124	14	of	of	ADP
easat-10138	124	15	python	python	NOUN
easat-10138	124	16	-	-	PUNCT
easat-10138	124	17	based	base	VERB
easat-10138	124	18	operations	operation	NOUN
easat-10138	124	19	.	.	PUNCT
easat-10138	125	1	their	their	PRON
easat-10138	125	2	experiments	experiment	NOUN
easat-10138	125	3	indicate	indicate	VERB
easat-10138	125	4	that	that	SCONJ
easat-10138	125	5	svm	svm	PROPN
easat-10138	125	6	is	be	AUX
easat-10138	125	7	the	the	DET
easat-10138	125	8	most	most	ADV
easat-10138	125	9	effective	effective	ADJ
easat-10138	125	10	at	at	ADP
easat-10138	125	11	predictive	predictive	ADJ
easat-10138	125	12	analysis	analysis	NOUN
easat-10138	125	13	,	,	PUNCT
easat-10138	125	14	with	with	ADP
easat-10138	125	15	a	a	DET
easat-10138	125	16	success	success	NOUN
easat-10138	125	17	rate	rate	NOUN
easat-10138	125	18	of	of	ADP
easat-10138	125	19	92.7	92.7	NUM
easat-10138	125	20	%	%	NOUN
easat-10138	125	21	.	.	PUNCT
easat-10138	126	1	as	as	SCONJ
easat-10138	126	2	stated	state	VERB
easat-10138	126	3	in	in	ADP
easat-10138	126	4	yan	yan	PROPN
easat-10138	126	5	,	,	PUNCT
easat-10138	126	6	et	et	PROPN
easat-10138	126	7	al	al	PROPN
easat-10138	126	8	.	.	PUNCT
easat-10138	127	1	[	[	X
easat-10138	127	2	22	22	NUM
easat-10138	127	3	]	]	PUNCT
easat-10138	127	4	various	various	ADJ
easat-10138	127	5	facets	facet	NOUN
easat-10138	127	6	of	of	ADP
easat-10138	127	7	healthcare	healthcare	NOUN
easat-10138	127	8	,	,	PUNCT
easat-10138	127	9	including	include	VERB
easat-10138	127	10	digital	digital	ADJ
easat-10138	127	11	pathology	pathology	NOUN
easat-10138	127	12	,	,	PUNCT
easat-10138	127	13	imaging	imaging	NOUN
easat-10138	127	14	diagnostics	diagnostic	NOUN
easat-10138	127	15	,	,	PUNCT
easat-10138	127	16	drug	drug	NOUN
easat-10138	127	17	development	development	NOUN
easat-10138	127	18	,	,	PUNCT
easat-10138	127	19	hospital	hospital	NOUN
easat-10138	127	20	admission	admission	NOUN
easat-10138	127	21	forecasting	forecasting	NOUN
easat-10138	127	22	,	,	PUNCT
easat-10138	127	23	cancer	cancer	NOUN
easat-10138	127	24	and	and	CCONJ
easat-10138	127	25	stromal	stromal	ADJ
easat-10138	127	26	cell	cell	NOUN
easat-10138	127	27	classification	classification	NOUN
easat-10138	127	28	,	,	PUNCT
easat-10138	127	29	and	and	CCONJ
easat-10138	127	30	physician	physician	NOUN
easat-10138	127	31	assistance	assistance	NOUN
easat-10138	127	32	,	,	PUNCT
easat-10138	127	33	have	have	AUX
easat-10138	127	34	benefited	benefit	VERB
easat-10138	127	35	from	from	ADP
easat-10138	127	36	the	the	DET
easat-10138	127	37	implementation	implementation	NOUN
easat-10138	127	38	of	of	ADP
easat-10138	127	39	deep	deep	ADJ
easat-10138	127	40	learning	learning	NOUN
easat-10138	127	41	.	.	PUNCT
easat-10138	128	1	a	a	DET
easat-10138	128	2	cancer	cancer	NOUN
easat-10138	128	3	prognosis	prognosis	NOUN
easat-10138	128	4	assesses	assess	VERB
easat-10138	128	5	the	the	DET
easat-10138	128	6	probability	probability	NOUN
easat-10138	128	7	of	of	ADP
easat-10138	128	8	cancer	cancer	NOUN
easat-10138	128	9	development	development	NOUN
easat-10138	128	10	and	and	CCONJ
easat-10138	128	11	recurrence	recurrence	NOUN
easat-10138	128	12	while	while	SCONJ
easat-10138	128	13	providing	provide	VERB
easat-10138	128	14	patients	patient	NOUN
easat-10138	128	15	with	with	ADP
easat-10138	128	16	an	an	DET
easat-10138	128	17	estimation	estimation	NOUN
easat-10138	128	18	of	of	ADP
easat-10138	128	19	their	their	PRON
easat-10138	128	20	survival	survival	NOUN
easat-10138	128	21	possibilities	possibility	NOUN
easat-10138	128	22	[	[	X
easat-10138	128	23	22	22	NUM
easat-10138	128	24	]	]	PUNCT
easat-10138	128	25	.	.	PUNCT
easat-10138	129	1	the	the	DET
easat-10138	129	2	accuracy	accuracy	NOUN
easat-10138	129	3	of	of	ADP
easat-10138	129	4	cancer	cancer	NOUN
easat-10138	129	5	prognosis	prognosis	NOUN
easat-10138	129	6	prediction	prediction	NOUN
easat-10138	129	7	will	will	AUX
easat-10138	129	8	significantly	significantly	ADV
easat-10138	129	9	improve	improve	VERB
easat-10138	129	10	the	the	DET
easat-10138	129	11	clinical	clinical	ADJ
easat-10138	129	12	management	management	NOUN
easat-10138	129	13	of	of	ADP
easat-10138	129	14	cancer	cancer	NOUN
easat-10138	129	15	patients	patient	NOUN
easat-10138	129	16	.	.	PUNCT
easat-10138	130	1	advancements	advancement	NOUN
easat-10138	130	2	in	in	ADP
easat-10138	130	3	biological	biological	ADJ
easat-10138	130	4	translational	translational	ADJ
easat-10138	130	5	research	research	NOUN
easat-10138	130	6	,	,	PUNCT
easat-10138	130	7	improved	improve	VERB
easat-10138	130	8	statistical	statistical	ADJ
easat-10138	130	9	analysis	analysis	NOUN
easat-10138	130	10	,	,	PUNCT
easat-10138	130	11	and	and	CCONJ
easat-10138	130	12	machine	machine	NOUN
easat-10138	130	13	learning	learn	VERB
easat-10138	130	14	approaches	approach	NOUN
easat-10138	130	15	propel	propel	VERB
easat-10138	130	16	cancer	cancer	NOUN
easat-10138	130	17	prognostic	prognostic	ADJ
easat-10138	130	18	prediction	prediction	NOUN
easat-10138	130	19	.	.	PUNCT
easat-10138	131	1	they	they	PRON
easat-10138	131	2	reviewed	review	VERB
easat-10138	131	3	the	the	DET
easat-10138	131	4	latest	late	ADJ
easat-10138	131	5	published	publish	VERB
easat-10138	131	6	research	research	NOUN
easat-10138	131	7	and	and	CCONJ
easat-10138	131	8	built	build	VERB
easat-10138	131	9	deep	deep	ADJ
easat-10138	131	10	learning	learning	NOUN
easat-10138	131	11	models	model	NOUN
easat-10138	131	12	for	for	ADP
easat-10138	131	13	predicting	predict	VERB
easat-10138	131	14	tumor	tumor	NOUN
easat-10138	131	15	prognosis	prognosis	NOUN
easat-10138	131	16	.	.	PUNCT
easat-10138	132	1	to	to	PART
easat-10138	132	2	facilitate	facilitate	VERB
easat-10138	132	3	automatic	automatic	ADJ
easat-10138	132	4	breast	breast	NOUN
easat-10138	132	5	mass	mass	NOUN
easat-10138	132	6	diagnosis	diagnosis	NOUN
easat-10138	132	7	,	,	PUNCT
easat-10138	132	8	authors	author	NOUN
easat-10138	132	9	in	in	ADP
easat-10138	132	10	ghorbian	ghorbian	ADJ
easat-10138	132	11	and	and	CCONJ
easat-10138	132	12	ghorbian	ghorbian	ADJ
easat-10138	133	1	[	[	X
easat-10138	133	2	23	23	NUM
easat-10138	133	3	]	]	PUNCT
easat-10138	133	4	introduced	introduce	VERB
easat-10138	133	5	a	a	DET
easat-10138	133	6	novel	novel	ADJ
easat-10138	133	7	multitasking	multitaske	VERB
easat-10138	133	8	architecture	architecture	NOUN
easat-10138	133	9	that	that	PRON
easat-10138	133	10	combines	combine	VERB
easat-10138	133	11	mediolateral	mediolateral	ADJ
easat-10138	133	12	-	-	PUNCT
easat-10138	133	13	oblique	oblique	NOUN
easat-10138	133	14	(	(	PUNCT
easat-10138	133	15	mlo	mlo	NOUN
easat-10138	133	16	)	)	PUNCT
easat-10138	133	17	and	and	CCONJ
easat-10138	133	18	craniocaudal	craniocaudal	PROPN
easat-10138	133	19	(	(	PUNCT
easat-10138	133	20	cc	cc	NOUN
easat-10138	133	21	)	)	PUNCT
easat-10138	133	22	mammography	mammography	NOUN
easat-10138	133	23	.	.	PUNCT
easat-10138	134	1	instead	instead	ADV
easat-10138	134	2	of	of	ADP
easat-10138	134	3	concentrating	concentrate	VERB
easat-10138	134	4	exclusively	exclusively	ADV
easat-10138	134	5	on	on	ADP
easat-10138	134	6	widespread	widespread	ADJ
easat-10138	134	7	recognition	recognition	NOUN
easat-10138	134	8	,	,	PUNCT
easat-10138	134	9	they	they	PRON
easat-10138	134	10	leveraged	leverage	VERB
easat-10138	134	11	the	the	DET
easat-10138	134	12	multitasking	multitaske	VERB
easat-10138	134	13	characteristics	characteristic	NOUN
easat-10138	134	14	of	of	ADP
easat-10138	134	15	deep	deep	ADJ
easat-10138	134	16	networks	network	NOUN
easat-10138	134	17	to	to	PART
easat-10138	134	18	concurrently	concurrently	ADV
easat-10138	134	19	acquire	acquire	VERB
easat-10138	134	20	mass	mass	ADJ
easat-10138	134	21	correspondence	correspondence	NOUN
easat-10138	134	22	and	and	CCONJ
easat-10138	134	23	categorization	categorization	NOUN
easat-10138	134	24	,	,	PUNCT
easat-10138	134	25	resulting	result	VERB
easat-10138	134	26	in	in	ADP
easat-10138	134	27	enhanced	enhanced	ADJ
easat-10138	134	28	detection	detection	NOUN
easat-10138	134	29	efficacy	efficacy	NOUN
easat-10138	134	30	.	.	PUNCT
easat-10138	135	1	to	to	PART
easat-10138	135	2	optimize	optimize	VERB
easat-10138	135	3	the	the	DET
easat-10138	135	4	use	use	NOUN
easat-10138	135	5	of	of	ADP
easat-10138	135	6	multi	multi	ADJ
easat-10138	135	7	-	-	ADJ
easat-10138	135	8	view	view	ADJ
easat-10138	135	9	data	datum	NOUN
easat-10138	135	10	,	,	PUNCT
easat-10138	135	11	they	they	PRON
easat-10138	135	12	proposed	propose	VERB
easat-10138	135	13	a	a	DET
easat-10138	135	14	cohesive	cohesive	ADJ
easat-10138	135	15	siamese	siamese	ADJ
easat-10138	135	16	network	network	NOUN
easat-10138	135	17	that	that	PRON
easat-10138	135	18	combines	combine	VERB
easat-10138	135	19	dual	dual	ADJ
easat-10138	135	20	-	-	PUNCT
easat-10138	135	21	view	view	NOUN
easat-10138	135	22	mass	mass	NOUN
easat-10138	135	23	matching	matching	NOUN
easat-10138	135	24	,	,	PUNCT
easat-10138	135	25	involving	involve	VERB
easat-10138	135	26	both	both	CCONJ
easat-10138	135	27	patch	patch	ADJ
easat-10138	135	28	-	-	PUNCT
easat-10138	135	29	level	level	NOUN
easat-10138	135	30	mass	mass	NOUN
easat-10138	135	31	and	and	CCONJ
easat-10138	135	32	non	non	ADJ
easat-10138	135	33	-	-	ADJ
easat-10138	135	34	mass	mass	ADJ
easat-10138	135	35	classification	classification	NOUN
easat-10138	135	36	.	.	PUNCT
easat-10138	136	1	a	a	DET
easat-10138	136	2	thorough	thorough	ADJ
easat-10138	136	3	image	image	NOUN
easat-10138	136	4	detection	detection	NOUN
easat-10138	136	5	pipeline	pipeline	NOUN
easat-10138	136	6	employs	employ	VERB
easat-10138	136	7	the	the	DET
easat-10138	136	8	youonly	youonly	ADJ
easat-10138	136	9	-	-	PUNCT
easat-10138	136	10	look	look	NOUN
easat-10138	136	11	-	-	PUNCT
easat-10138	136	12	once	once	ADV
easat-10138	136	13	(	(	PUNCT
easat-10138	136	14	yolo	yolo	ADJ
easat-10138	136	15	)	)	PUNCT
easat-10138	136	16	model	model	NOUN
easat-10138	136	17	for	for	ADP
easat-10138	136	18	regional	regional	ADJ
easat-10138	136	19	suggestions	suggestion	NOUN
easat-10138	136	20	.	.	PUNCT
easat-10138	137	1	they	they	PRON
easat-10138	137	2	performed	perform	VERB
easat-10138	137	3	comprehensive	comprehensive	ADJ
easat-10138	137	4	research	research	NOUN
easat-10138	137	5	to	to	PART
easat-10138	137	6	demonstrate	demonstrate	VERB
easat-10138	137	7	the	the	DET
easat-10138	137	8	significance	significance	NOUN
easat-10138	137	9	of	of	ADP
easat-10138	137	10	dual	dual	ADJ
easat-10138	137	11	-	-	PUNCT
easat-10138	137	12	view	view	NOUN
easat-10138	137	13	matching	matching	NOUN
easat-10138	137	14	in	in	ADP
easat-10138	137	15	patch	patch	ADJ
easat-10138	137	16	-	-	PUNCT
easat-10138	137	17	level	level	NOUN
easat-10138	137	18	categorization	categorization	NOUN
easat-10138	137	19	and	and	CCONJ
easat-10138	137	20	examination	examination	NOUN
easat-10138	137	21	-	-	PUNCT
easat-10138	137	22	level	level	NOUN
easat-10138	137	23	detection	detection	NOUN
easat-10138	137	24	contexts	contexts	NOUN
easat-10138	137	25	.	.	PUNCT
easat-10138	138	1	the	the	DET
easat-10138	138	2	comprehensive	comprehensive	ADJ
easat-10138	138	3	detection	detection	NOUN
easat-10138	138	4	performance	performance	NOUN
easat-10138	138	5	is	be	AUX
easat-10138	138	6	significantly	significantly	ADV
easat-10138	138	7	improved	improve	VERB
easat-10138	138	8	by	by	ADP
easat-10138	138	9	their	their	PRON
easat-10138	138	10	study	study	NOUN
easat-10138	138	11	's	's	PART
easat-10138	138	12	findings	finding	NOUN
easat-10138	138	13	,	,	PUNCT
easat-10138	138	14	which	which	PRON
easat-10138	138	15	indicate	indicate	VERB
easat-10138	138	16	that	that	SCONJ
easat-10138	138	17	mass	mass	ADJ
easat-10138	138	18	matching	matching	NOUN
easat-10138	138	19	surpasses	surpasse	NOUN
easat-10138	138	20	conventional	conventional	ADJ
easat-10138	138	21	single	single	ADJ
easat-10138	138	22	-	-	PUNCT
easat-10138	138	23	task	task	NOUN
easat-10138	138	24	systems	system	NOUN
easat-10138	138	25	,	,	PUNCT
easat-10138	138	26	achieving	achieve	VERB
easat-10138	138	27	an	an	DET
easat-10138	138	28	area	area	NOUN
easat-10138	138	29	under	under	ADP
easat-10138	138	30	the	the	DET
easat-10138	138	31	curve	curve	NOUN
easat-10138	138	32	(	(	PUNCT
easat-10138	138	33	auc	auc	NOUN
easat-10138	138	34	)	)	PUNCT
easat-10138	138	35	score	score	NOUN
easat-10138	138	36	of	of	ADP
easat-10138	138	37	94.78	94.78	NUM
easat-10138	138	38	%	%	NOUN
easat-10138	138	39	and	and	CCONJ
easat-10138	138	40	a	a	DET
easat-10138	138	41	classification	classification	NOUN
easat-10138	138	42	accuracy	accuracy	NOUN
easat-10138	138	43	of	of	ADP
easat-10138	138	44	0.8791	0.8791	NUM
easat-10138	138	45	.	.	PUNCT
easat-10138	139	1	authors	author	NOUN
easat-10138	139	2	in	in	ADP
easat-10138	139	3	zarif	zarif	PROPN
easat-10138	139	4	,	,	PUNCT
easat-10138	139	5	et	et	PROPN
easat-10138	139	6	al	al	PROPN
easat-10138	139	7	.	.	PUNCT
easat-10138	140	1	[	[	X
easat-10138	140	2	24	24	NUM
easat-10138	140	3	]	]	PUNCT
easat-10138	140	4	conducted	conduct	VERB
easat-10138	140	5	a	a	DET
easat-10138	140	6	systematic	systematic	ADJ
easat-10138	140	7	and	and	CCONJ
easat-10138	140	8	comprehensive	comprehensive	ADJ
easat-10138	140	9	analysis	analysis	NOUN
easat-10138	140	10	of	of	ADP
easat-10138	140	11	the	the	DET
easat-10138	140	12	various	various	ADJ
easat-10138	140	13	machine	machine	NOUN
easat-10138	140	14	learning	learn	VERB
easat-10138	140	15	algorithms	algorithm	NOUN
easat-10138	140	16	and	and	CCONJ
easat-10138	140	17	mechanisms	mechanism	NOUN
easat-10138	140	18	employed	employ	VERB
easat-10138	140	19	in	in	ADP
easat-10138	140	20	breast	breast	NOUN
easat-10138	140	21	cancer	cancer	NOUN
easat-10138	140	22	diagnosis	diagnosis	NOUN
easat-10138	140	23	.	.	PUNCT
easat-10138	141	1	to	to	PART
easat-10138	141	2	enhance	enhance	VERB
easat-10138	141	3	healthcare	healthcare	PROPN
easat-10138	141	4	professionals	professional	NOUN
easat-10138	141	5	'	'	PART
easat-10138	141	6	and	and	CCONJ
easat-10138	141	7	technologists	technologist	NOUN
easat-10138	141	8	'	'	PART
easat-10138	141	9	comprehension	comprehension	NOUN
easat-10138	141	10	of	of	ADP
easat-10138	141	11	novel	novel	NOUN
easat-10138	141	12	screening	screening	NOUN
easat-10138	141	13	and	and	CCONJ
easat-10138	141	14	diagnostic	diagnostic	ADJ
easat-10138	141	15	tools	tool	NOUN
easat-10138	141	16	and	and	CCONJ
easat-10138	141	17	methodologies	methodology	NOUN
easat-10138	141	18	,	,	PUNCT
easat-10138	141	19	a	a	DET
easat-10138	141	20	comprehensive	comprehensive	ADJ
easat-10138	141	21	and	and	CCONJ
easat-10138	141	22	precise	precise	ADJ
easat-10138	141	23	overview	overview	NOUN
easat-10138	141	24	of	of	ADP
easat-10138	141	25	techniques	technique	NOUN
easat-10138	141	26	,	,	PUNCT
easat-10138	141	27	methodologies	methodology	NOUN
easat-10138	141	28	,	,	PUNCT
easat-10138	141	29	challenges	challenge	NOUN
easat-10138	141	30	,	,	PUNCT
easat-10138	141	31	solutions	solution	NOUN
easat-10138	141	32	,	,	PUNCT
easat-10138	141	33	and	and	CCONJ
easat-10138	141	34	fundamental	fundamental	ADJ
easat-10138	141	35	concepts	concept	NOUN
easat-10138	141	36	pertinent	pertinent	VERB
easat-10138	141	37	to	to	ADP
easat-10138	141	38	this	this	DET
easat-10138	141	39	process	process	NOUN
easat-10138	141	40	was	be	AUX
easat-10138	141	41	provided	provide	VERB
easat-10138	141	42	.	.	PUNCT
easat-10138	142	1	as	as	ADP
easat-10138	142	2	a	a	DET
easat-10138	142	3	result	result	NOUN
easat-10138	142	4	,	,	PUNCT
easat-10138	142	5	their	their	PRON
easat-10138	142	6	research	research	NOUN
easat-10138	142	7	has	have	AUX
easat-10138	142	8	focused	focus	VERB
easat-10138	142	9	on	on	ADP
easat-10138	142	10	the	the	DET
easat-10138	142	11	information	information	NOUN
easat-10138	142	12	gathered	gather	VERB
easat-10138	142	13	from	from	ADP
easat-10138	142	14	clinical	clinical	ADJ
easat-10138	142	15	methods	method	NOUN
easat-10138	142	16	of	of	ADP
easat-10138	142	17	diagnosis	diagnosis	NOUN
easat-10138	142	18	to	to	PART
easat-10138	142	19	provide	provide	VERB
easat-10138	142	20	an	an	DET
easat-10138	142	21	extensive	extensive	ADJ
easat-10138	142	22	taxonomy	taxonomy	NOUN
easat-10138	142	23	for	for	ADP
easat-10138	142	24	employing	employ	VERB
easat-10138	142	25	machine	machine	NOUN
easat-10138	142	26	learning	learning	NOUN
easat-10138	142	27	(	(	PUNCT
easat-10138	142	28	ml	ml	NOUN
easat-10138	142	29	)	)	PUNCT
easat-10138	142	30	techniques	technique	NOUN
easat-10138	142	31	in	in	ADP
easat-10138	142	32	breast	breast	NOUN
easat-10138	142	33	cancer	cancer	NOUN
easat-10138	142	34	(	(	PUNCT
easat-10138	142	35	bc	bc	PROPN
easat-10138	142	36	)	)	PUNCT
easat-10138	142	37	diagnosis	diagnosis	NOUN
easat-10138	142	38	.	.	PUNCT
easat-10138	143	1	the	the	DET
easat-10138	143	2	authors	author	NOUN
easat-10138	143	3	in	in	ADP
easat-10138	143	4	fu	fu	PROPN
easat-10138	143	5	,	,	PUNCT
easat-10138	143	6	et	et	PROPN
easat-10138	143	7	al	al	PROPN
easat-10138	143	8	.	.	PUNCT
easat-10138	144	1	[	[	X
easat-10138	144	2	25	25	NUM
easat-10138	144	3	]	]	PUNCT
easat-10138	144	4	proposed	propose	VERB
easat-10138	144	5	a	a	DET
easat-10138	144	6	hybrid	hybrid	ADJ
easat-10138	144	7	deep	deep	ADJ
easat-10138	144	8	learning	learning	NOUN
easat-10138	144	9	model	model	NOUN
easat-10138	144	10	that	that	PRON
easat-10138	144	11	combines	combine	VERB
easat-10138	144	12	cnn	cnn	PROPN
easat-10138	144	13	and	and	CCONJ
easat-10138	144	14	efficientnetv2b3	efficientnetv2b3	NOUN
easat-10138	144	15	.	.	PUNCT
easat-10138	145	1	their	their	PRON
easat-10138	145	2	proposed	propose	VERB
easat-10138	145	3	approach	approach	NOUN
easat-10138	145	4	utilizes	utilize	VERB
easat-10138	145	5	whole	whole	ADJ
easat-10138	145	6	-	-	PUNCT
easat-10138	145	7	slide	slide	NOUN
easat-10138	145	8	images	image	NOUN
easat-10138	145	9	(	(	PUNCT
easat-10138	145	10	wsis	wsis	NOUN
easat-10138	145	11	)	)	PUNCT
easat-10138	145	12	that	that	PRON
easat-10138	145	13	leverage	leverage	NOUN
easat-10138	145	14	pretrained	pretraine	VERB
easat-10138	145	15	models	model	NOUN
easat-10138	145	16	to	to	PART
easat-10138	145	17	classify	classify	VERB
easat-10138	145	18	breast	breast	NOUN
easat-10138	145	19	cancer	cancer	NOUN
easat-10138	145	20	in	in	ADP
easat-10138	145	21	images	image	NOUN
easat-10138	145	22	,	,	PUNCT
easat-10138	145	23	distinguishing	distinguish	VERB
easat-10138	145	24	between	between	ADP
easat-10138	145	25	positive	positive	ADJ
easat-10138	145	26	invasive	invasive	ADJ
easat-10138	145	27	ductal	ductal	ADJ
easat-10138	145	28	1402	1402	NUM
easat-10138	145	29	edelweiss	edelweiss	PROPN
easat-10138	145	30	applied	apply	VERB
easat-10138	145	31	science	science	NOUN
easat-10138	145	32	and	and	CCONJ
easat-10138	145	33	technology	technology	NOUN
easat-10138	145	34	issn	issn	PROPN
easat-10138	145	35	:	:	PUNCT
easat-10138	145	36	2576	2576	NUM
easat-10138	145	37	-	-	SYM
easat-10138	145	38	8484	8484	NUM
easat-10138	145	39	vol	vol	NOUN
easat-10138	145	40	.	.	PROPN
easat-10138	146	1	9	9	NUM
easat-10138	146	2	,	,	PUNCT
easat-10138	146	3	no	no	INTJ
easat-10138	146	4	.	.	NOUN
easat-10138	146	5	9	9	NUM
easat-10138	146	6	:	:	SYM
easat-10138	146	7	1398	1398	NUM
easat-10138	146	8	-	-	SYM
easat-10138	146	9	1415	1415	NUM
easat-10138	146	10	,	,	PUNCT
easat-10138	146	11	2025	2025	NUM
easat-10138	146	12	doi	doi	NOUN
easat-10138	146	13	:	:	PUNCT
easat-10138	146	14	10.55214/2576	10.55214/2576	NUM
easat-10138	146	15	-	-	PUNCT
easat-10138	146	16	8484.v9i9.10138	8484.v9i9.10138	NOUN
easat-10138	147	1	©	©	PROPN
easat-10138	147	2	2025	2025	NUM
easat-10138	147	3	by	by	ADP
easat-10138	147	4	the	the	DET
easat-10138	147	5	authors	author	NOUN
easat-10138	147	6	;	;	PUNCT
easat-10138	147	7	licensee	licensee	PROPN
easat-10138	147	8	learning	learning	NOUN
easat-10138	147	9	gate	gate	NOUN
easat-10138	147	10	carcinoma	carcinoma	NOUN
easat-10138	147	11	(	(	PUNCT
easat-10138	147	12	idc	idc	NOUN
easat-10138	147	13	)	)	PUNCT
easat-10138	147	14	and	and	CCONJ
easat-10138	147	15	negative	negative	ADJ
easat-10138	147	16	(	(	PUNCT
easat-10138	147	17	non	non	ADJ
easat-10138	147	18	-	-	ADJ
easat-10138	147	19	idc	idc	ADJ
easat-10138	147	20	)	)	PUNCT
easat-10138	147	21	tissue	tissue	NOUN
easat-10138	147	22	through	through	ADP
easat-10138	147	23	convolutional	convolutional	ADJ
easat-10138	147	24	neural	neural	ADJ
easat-10138	147	25	networks	network	NOUN
easat-10138	147	26	(	(	PUNCT
easat-10138	147	27	cnns	cnns	PROPN
easat-10138	147	28	)	)	PUNCT
easat-10138	147	29	.	.	PUNCT
easat-10138	148	1	this	this	PRON
easat-10138	148	2	helps	help	VERB
easat-10138	148	3	pathologists	pathologist	NOUN
easat-10138	148	4	make	make	VERB
easat-10138	148	5	more	more	ADV
easat-10138	148	6	precise	precise	ADJ
easat-10138	148	7	diagnoses	diagnosis	NOUN
easat-10138	148	8	.	.	PUNCT
easat-10138	149	1	their	their	PRON
easat-10138	149	2	proposed	propose	VERB
easat-10138	149	3	model	model	NOUN
easat-10138	149	4	performs	perform	VERB
easat-10138	149	5	exceptionally	exceptionally	ADV
easat-10138	149	6	well	well	ADV
easat-10138	149	7	,	,	PUNCT
easat-10138	149	8	outperforming	outperform	VERB
easat-10138	149	9	the	the	DET
easat-10138	149	10	accuracy	accuracy	NOUN
easat-10138	149	11	of	of	ADP
easat-10138	149	12	other	other	ADJ
easat-10138	149	13	models	model	NOUN
easat-10138	149	14	with	with	ADP
easat-10138	149	15	scores	score	NOUN
easat-10138	149	16	of	of	ADP
easat-10138	149	17	96.3	96.3	NUM
easat-10138	149	18	%	%	NOUN
easat-10138	149	19	,	,	PUNCT
easat-10138	149	20	93.4	93.4	NUM
easat-10138	149	21	%	%	NOUN
easat-10138	149	22	,	,	PUNCT
easat-10138	149	23	recall	recall	NOUN
easat-10138	149	24	,	,	PUNCT
easat-10138	149	25	86.4	86.4	NUM
easat-10138	149	26	%	%	NOUN
easat-10138	149	27	,	,	PUNCT
easat-10138	149	28	f1	f1	NOUN
easat-10138	149	29	-	-	PUNCT
easat-10138	149	30	score	score	NOUN
easat-10138	149	31	,	,	PUNCT
easat-10138	149	32	87.6	87.6	NUM
easat-10138	149	33	%	%	NOUN
easat-10138	149	34	,	,	PUNCT
easat-10138	149	35	87.6	87.6	NUM
easat-10138	149	36	%	%	NOUN
easat-10138	149	37	,	,	PUNCT
easat-10138	149	38	and	and	CCONJ
easat-10138	149	39	97.5	97.5	NUM
easat-10138	149	40	%	%	NOUN
easat-10138	149	41	for	for	ADP
easat-10138	149	42	the	the	DET
easat-10138	149	43	area	area	NOUN
easat-10138	149	44	under	under	ADP
easat-10138	149	45	the	the	DET
easat-10138	149	46	curve	curve	NOUN
easat-10138	149	47	(	(	PUNCT
easat-10138	149	48	auc	auc	NOUN
easat-10138	149	49	)	)	PUNCT
easat-10138	149	50	of	of	ADP
easat-10138	149	51	a	a	DET
easat-10138	149	52	receiver	receiver	NOUN
easat-10138	149	53	operating	operate	VERB
easat-10138	149	54	characteristic	characteristic	NOUN
easat-10138	149	55	(	(	PUNCT
easat-10138	149	56	roc	roc	PROPN
easat-10138	149	57	)	)	PUNCT
easat-10138	149	58	curve	curve	NOUN
easat-10138	149	59	and	and	CCONJ
easat-10138	149	60	96.8	96.8	NUM
easat-10138	149	61	%	%	NOUN
easat-10138	149	62	for	for	ADP
easat-10138	149	63	the	the	DET
easat-10138	149	64	area	area	NOUN
easat-10138	149	65	under	under	ADP
easat-10138	149	66	the	the	DET
easat-10138	149	67	curve	curve	NOUN
easat-10138	149	68	of	of	ADP
easat-10138	149	69	the	the	DET
easat-10138	149	70	precision	precision	NOUN
easat-10138	149	71	-	-	PUNCT
easat-10138	149	72	recall	recall	NOUN
easat-10138	149	73	curve	curve	NOUN
easat-10138	149	74	(	(	PUNCT
easat-10138	149	75	auprc	auprc	ADJ
easat-10138	149	76	)	)	PUNCT
easat-10138	149	77	.	.	PUNCT
easat-10138	150	1	the	the	DET
easat-10138	150	2	recall	recall	PROPN
easat-10138	150	3	curve	curve	NOUN
easat-10138	150	4	(	(	PUNCT
easat-10138	150	5	auprc	auprc	PROPN
easat-10138	150	6	)	)	PUNCT
easat-10138	150	7	of	of	ADP
easat-10138	150	8	96.8	96.8	NUM
easat-10138	150	9	%	%	NOUN
easat-10138	150	10	surpasses	surpass	VERB
easat-10138	150	11	the	the	DET
easat-10138	150	12	accuracy	accuracy	NOUN
easat-10138	150	13	levels	level	NOUN
easat-10138	150	14	of	of	ADP
easat-10138	150	15	other	other	ADJ
easat-10138	150	16	models	model	NOUN
easat-10138	150	17	.	.	PUNCT
easat-10138	151	1	after	after	ADP
easat-10138	151	2	examining	examine	VERB
easat-10138	151	3	related	related	ADJ
easat-10138	151	4	works	work	NOUN
easat-10138	151	5	,	,	PUNCT
easat-10138	151	6	several	several	ADJ
easat-10138	151	7	gaps	gap	NOUN
easat-10138	151	8	in	in	ADP
easat-10138	151	9	the	the	DET
easat-10138	151	10	existing	exist	VERB
easat-10138	151	11	breast	breast	NOUN
easat-10138	151	12	cancer	cancer	NOUN
easat-10138	151	13	detection	detection	NOUN
easat-10138	151	14	models	model	NOUN
easat-10138	151	15	were	be	AUX
easat-10138	151	16	identified	identify	VERB
easat-10138	151	17	.	.	PUNCT
easat-10138	152	1	many	many	ADJ
easat-10138	152	2	studies	study	NOUN
easat-10138	152	3	,	,	PUNCT
easat-10138	152	4	such	such	ADJ
easat-10138	152	5	as	as	ADP
easat-10138	152	6	those	those	PRON
easat-10138	152	7	by	by	ADP
easat-10138	152	8	authors	author	NOUN
easat-10138	152	9	in	in	ADP
easat-10138	152	10	gu	gu	PROPN
easat-10138	152	11	,	,	PUNCT
easat-10138	152	12	et	et	PROPN
easat-10138	152	13	al	al	PROPN
easat-10138	152	14	.	.	PUNCT
easat-10138	153	1	[	[	X
easat-10138	153	2	9	9	NUM
easat-10138	153	3	]	]	PUNCT
easat-10138	153	4	and	and	CCONJ
easat-10138	153	5	tan	tan	PROPN
easat-10138	153	6	,	,	PUNCT
easat-10138	153	7	et	et	PROPN
easat-10138	153	8	al	al	PROPN
easat-10138	153	9	.	.	PUNCT
easat-10138	154	1	[	[	X
easat-10138	154	2	13	13	NUM
easat-10138	154	3	]	]	PUNCT
easat-10138	154	4	have	have	AUX
easat-10138	154	5	focused	focus	VERB
easat-10138	154	6	on	on	ADP
easat-10138	154	7	specific	specific	ADJ
easat-10138	154	8	groups	group	NOUN
easat-10138	154	9	,	,	PUNCT
easat-10138	154	10	making	make	VERB
easat-10138	154	11	it	it	PRON
easat-10138	154	12	difficult	difficult	ADJ
easat-10138	154	13	to	to	PART
easat-10138	154	14	generalize	generalize	VERB
easat-10138	154	15	results	result	NOUN
easat-10138	154	16	to	to	ADP
easat-10138	154	17	diverse	diverse	ADJ
easat-10138	154	18	populations	population	NOUN
easat-10138	154	19	,	,	PUNCT
easat-10138	154	20	which	which	PRON
easat-10138	154	21	could	could	AUX
easat-10138	154	22	exacerbate	exacerbate	VERB
easat-10138	154	23	health	health	NOUN
easat-10138	154	24	disparities	disparity	NOUN
easat-10138	154	25	.	.	PUNCT
easat-10138	155	1	additionally	additionally	ADV
easat-10138	155	2	,	,	PUNCT
easat-10138	155	3	privacy	privacy	NOUN
easat-10138	155	4	concerns	concern	NOUN
easat-10138	155	5	in	in	ADP
easat-10138	155	6	centralized	centralized	ADJ
easat-10138	155	7	learning	learning	NOUN
easat-10138	155	8	models	model	NOUN
easat-10138	155	9	remain	remain	VERB
easat-10138	155	10	a	a	DET
easat-10138	155	11	significant	significant	ADJ
easat-10138	155	12	challenge	challenge	NOUN
easat-10138	155	13	,	,	PUNCT
easat-10138	155	14	as	as	SCONJ
easat-10138	155	15	noted	note	VERB
easat-10138	155	16	by	by	ADP
easat-10138	155	17	the	the	DET
easat-10138	155	18	authors	author	NOUN
easat-10138	155	19	in	in	ADP
easat-10138	155	20	tan	tan	PROPN
easat-10138	155	21	,	,	PUNCT
easat-10138	155	22	et	et	PROPN
easat-10138	155	23	al	al	PROPN
easat-10138	155	24	.	.	PUNCT
easat-10138	156	1	[	[	X
easat-10138	156	2	13	13	NUM
easat-10138	156	3	]	]	PUNCT
easat-10138	156	4	.	.	PUNCT
easat-10138	157	1	overfitting	overfitte	VERB
easat-10138	157	2	,	,	PUNCT
easat-10138	157	3	unbalanced	unbalanced	ADJ
easat-10138	157	4	data	datum	NOUN
easat-10138	157	5	,	,	PUNCT
easat-10138	157	6	and	and	CCONJ
easat-10138	157	7	difficulties	difficulty	NOUN
easat-10138	157	8	in	in	ADP
easat-10138	157	9	accurately	accurately	ADV
easat-10138	157	10	detecting	detect	VERB
easat-10138	157	11	both	both	CCONJ
easat-10138	157	12	early	early	ADJ
easat-10138	157	13	and	and	CCONJ
easat-10138	157	14	advanced	advanced	ADJ
easat-10138	157	15	stages	stage	NOUN
easat-10138	157	16	of	of	ADP
easat-10138	157	17	cancer	cancer	NOUN
easat-10138	157	18	,	,	PUNCT
easat-10138	157	19	as	as	SCONJ
easat-10138	157	20	highlighted	highlight	VERB
easat-10138	157	21	by	by	ADP
easat-10138	157	22	authors	author	NOUN
easat-10138	157	23	in	in	ADP
easat-10138	157	24	yusoff	yusoff	NOUN
easat-10138	157	25	,	,	PUNCT
easat-10138	157	26	et	et	PROPN
easat-10138	157	27	al	al	PROPN
easat-10138	157	28	.	.	PUNCT
easat-10138	158	1	[	[	X
easat-10138	158	2	14	14	NUM
easat-10138	158	3	]	]	PUNCT
easat-10138	158	4	and	and	CCONJ
easat-10138	158	5	awotunde	awotunde	ADJ
easat-10138	158	6	,	,	PUNCT
easat-10138	158	7	et	et	PROPN
easat-10138	158	8	al	al	PROPN
easat-10138	158	9	.	.	PUNCT
easat-10138	159	1	[	[	X
easat-10138	159	2	11	11	NUM
easat-10138	159	3	]	]	PUNCT
easat-10138	159	4	are	be	AUX
easat-10138	159	5	also	also	ADV
easat-10138	159	6	persistent	persistent	ADJ
easat-10138	159	7	issues	issue	NOUN
easat-10138	159	8	.	.	PUNCT
easat-10138	160	1	furthermore	furthermore	ADV
easat-10138	160	2	,	,	PUNCT
easat-10138	160	3	imprecision	imprecision	NOUN
easat-10138	160	4	in	in	ADP
easat-10138	160	5	mass	mass	ADJ
easat-10138	160	6	detection	detection	NOUN
easat-10138	160	7	,	,	PUNCT
easat-10138	160	8	as	as	SCONJ
easat-10138	160	9	seen	see	VERB
easat-10138	160	10	in	in	ADP
easat-10138	160	11	the	the	DET
easat-10138	160	12	work	work	NOUN
easat-10138	160	13	of	of	ADP
easat-10138	160	14	hmida	hmida	PROPN
easat-10138	160	15	,	,	PUNCT
easat-10138	160	16	et	et	PROPN
easat-10138	160	17	al	al	PROPN
easat-10138	160	18	.	.	PUNCT
easat-10138	161	1	[	[	X
easat-10138	161	2	10	10	NUM
easat-10138	161	3	]	]	PUNCT
easat-10138	161	4	limits	limit	VERB
easat-10138	161	5	the	the	DET
easat-10138	161	6	effectiveness	effectiveness	NOUN
easat-10138	161	7	of	of	ADP
easat-10138	161	8	some	some	DET
easat-10138	161	9	current	current	ADJ
easat-10138	161	10	approaches	approach	NOUN
easat-10138	161	11	.	.	PUNCT
easat-10138	162	1	this	this	DET
easat-10138	162	2	paper	paper	NOUN
easat-10138	162	3	aims	aim	VERB
easat-10138	162	4	to	to	PART
easat-10138	162	5	address	address	VERB
easat-10138	162	6	model	model	NOUN
easat-10138	162	7	generalization	generalization	NOUN
easat-10138	162	8	issues	issue	NOUN
easat-10138	162	9	and	and	CCONJ
easat-10138	162	10	enhance	enhance	VERB
easat-10138	162	11	the	the	DET
easat-10138	162	12	identification	identification	NOUN
easat-10138	162	13	of	of	ADP
easat-10138	162	14	breast	breast	NOUN
easat-10138	162	15	carcinoma	carcinoma	NOUN
easat-10138	162	16	at	at	ADP
easat-10138	162	17	both	both	CCONJ
easat-10138	162	18	early	early	ADJ
easat-10138	162	19	and	and	CCONJ
easat-10138	162	20	advanced	advanced	ADJ
easat-10138	162	21	stages	stage	NOUN
easat-10138	162	22	,	,	PUNCT
easat-10138	162	23	ensuring	ensure	VERB
easat-10138	162	24	reliable	reliable	ADJ
easat-10138	162	25	results	result	NOUN
easat-10138	162	26	that	that	PRON
easat-10138	162	27	can	can	AUX
easat-10138	162	28	be	be	AUX
easat-10138	162	29	applied	apply	VERB
easat-10138	162	30	across	across	ADP
easat-10138	162	31	diverse	diverse	ADJ
easat-10138	162	32	populations	population	NOUN
easat-10138	162	33	.	.	PUNCT
easat-10138	163	1	3	3	X
easat-10138	163	2	.	.	X
easat-10138	163	3	materials	material	NOUN
easat-10138	163	4	and	and	CCONJ
easat-10138	163	5	methods	method	NOUN
easat-10138	163	6	3.1	3.1	NUM
easat-10138	163	7	.	.	PUNCT
easat-10138	163	8	methodology	methodology	NOUN
easat-10138	163	9	the	the	DET
easat-10138	163	10	general	general	ADJ
easat-10138	163	11	methodology	methodology	NOUN
easat-10138	163	12	for	for	ADP
easat-10138	163	13	creating	create	VERB
easat-10138	163	14	a	a	DET
easat-10138	163	15	system	system	NOUN
easat-10138	163	16	that	that	PRON
easat-10138	163	17	can	can	AUX
easat-10138	163	18	identify	identify	VERB
easat-10138	163	19	breast	breast	NOUN
easat-10138	163	20	cancer	cancer	NOUN
easat-10138	163	21	and	and	CCONJ
easat-10138	163	22	categorize	categorize	VERB
easat-10138	163	23	cases	case	NOUN
easat-10138	163	24	as	as	ADP
easat-10138	163	25	benign	benign	ADJ
easat-10138	163	26	,	,	PUNCT
easat-10138	163	27	malignant	malignant	ADJ
easat-10138	163	28	,	,	PUNCT
easat-10138	163	29	or	or	CCONJ
easat-10138	163	30	normal	normal	ADJ
easat-10138	163	31	is	be	AUX
easat-10138	163	32	covered	cover	VERB
easat-10138	163	33	in	in	ADP
easat-10138	163	34	this	this	DET
easat-10138	163	35	section	section	NOUN
easat-10138	163	36	.	.	PUNCT
easat-10138	164	1	a	a	DET
easat-10138	164	2	compilation	compilation	NOUN
easat-10138	164	3	of	of	ADP
easat-10138	164	4	the	the	DET
easat-10138	164	5	procedures	procedure	NOUN
easat-10138	164	6	is	be	AUX
easat-10138	164	7	highlighted	highlight	VERB
easat-10138	164	8	as	as	SCONJ
easat-10138	164	9	follows	follow	VERB
easat-10138	164	10	:	:	PUNCT
easat-10138	164	11	▪	▪	ADJ
easat-10138	164	12	acquisition	acquisition	NOUN
easat-10138	164	13	of	of	ADP
easat-10138	164	14	breast	breast	NOUN
easat-10138	164	15	ultrasound	ultrasound	NOUN
easat-10138	164	16	image	image	NOUN
easat-10138	164	17	dataset	dataset	VERB
easat-10138	164	18	from	from	ADP
easat-10138	164	19	kaggle	kaggle	ADJ
easat-10138	164	20	data	datum	NOUN
easat-10138	164	21	repository	repository	NOUN
easat-10138	164	22	.	.	PUNCT
easat-10138	165	1	▪	▪	X
easat-10138	165	2	preprocessing	preprocesse	VERB
easat-10138	165	3	the	the	DET
easat-10138	165	4	obtained	obtain	VERB
easat-10138	165	5	dataset	dataset	NOUN
easat-10138	165	6	in	in	ADP
easat-10138	165	7	(	(	PUNCT
easat-10138	165	8	i	i	NOUN
easat-10138	165	9	)	)	PUNCT
easat-10138	165	10	.	.	PUNCT
easat-10138	166	1	▪	▪	NOUN
easat-10138	166	2	divide	divide	VERB
easat-10138	166	3	the	the	DET
easat-10138	166	4	processed	process	VERB
easat-10138	166	5	data	datum	NOUN
easat-10138	166	6	from	from	ADP
easat-10138	166	7	(	(	PUNCT
easat-10138	166	8	ii	ii	NOUN
easat-10138	166	9	)	)	PUNCT
easat-10138	166	10	into	into	ADP
easat-10138	166	11	training	training	NOUN
easat-10138	166	12	and	and	CCONJ
easat-10138	166	13	testing	testing	NOUN
easat-10138	166	14	data	datum	NOUN
easat-10138	166	15	.	.	PUNCT
easat-10138	167	1	▪	▪	ADJ
easat-10138	167	2	training	training	NOUN
easat-10138	167	3	and	and	CCONJ
easat-10138	167	4	evaluation	evaluation	NOUN
easat-10138	167	5	of	of	ADP
easat-10138	167	6	pre	pre	ADJ
easat-10138	167	7	-	-	ADJ
easat-10138	167	8	trained	train	VERB
easat-10138	167	9	cnn	cnn	PROPN
easat-10138	167	10	model	model	NOUN
easat-10138	167	11	resnet-50	resnet-50	PROPN
easat-10138	167	12	with	with	ADP
easat-10138	167	13	the	the	DET
easat-10138	167	14	training	training	NOUN
easat-10138	167	15	and	and	CCONJ
easat-10138	167	16	testing	testing	NOUN
easat-10138	167	17	data	datum	NOUN
easat-10138	167	18	from	from	ADP
easat-10138	167	19	(	(	PUNCT
easat-10138	167	20	iii	iii	NOUN
easat-10138	167	21	)	)	PUNCT
easat-10138	167	22	.	.	PUNCT
easat-10138	168	1	3.1.1	3.1.1	X
easat-10138	168	2	.	.	PUNCT
easat-10138	168	3	data	datum	NOUN
easat-10138	168	4	acquisition	acquisition	NOUN
easat-10138	168	5	we	we	PRON
easat-10138	168	6	utilized	utilize	VERB
easat-10138	168	7	a	a	DET
easat-10138	168	8	publicly	publicly	ADV
easat-10138	168	9	available	available	ADJ
easat-10138	168	10	breast	breast	NOUN
easat-10138	168	11	cancer	cancer	NOUN
easat-10138	168	12	(	(	PUNCT
easat-10138	168	13	bc	bc	PROPN
easat-10138	168	14	)	)	PUNCT
easat-10138	168	15	dataset	dataset	NOUN
easat-10138	168	16	.	.	PUNCT
easat-10138	169	1	the	the	DET
easat-10138	169	2	data	datum	NOUN
easat-10138	169	3	was	be	AUX
easat-10138	169	4	assessed	assess	VERB
easat-10138	169	5	for	for	ADP
easat-10138	169	6	the	the	DET
easat-10138	169	7	following	follow	VERB
easat-10138	169	8	purposes	purpose	NOUN
easat-10138	169	9	:	:	PUNCT
easat-10138	169	10	(	(	PUNCT
easat-10138	169	11	1	1	X
easat-10138	169	12	)	)	PUNCT
easat-10138	169	13	to	to	PART
easat-10138	169	14	broaden	broaden	VERB
easat-10138	169	15	the	the	DET
easat-10138	169	16	dataset	dataset	NOUN
easat-10138	169	17	's	's	PART
easat-10138	169	18	scope	scope	NOUN
easat-10138	169	19	for	for	ADP
easat-10138	169	20	training	training	NOUN
easat-10138	169	21	purposes	purpose	NOUN
easat-10138	169	22	,	,	PUNCT
easat-10138	169	23	(	(	PUNCT
easat-10138	169	24	2	2	X
easat-10138	169	25	)	)	PUNCT
easat-10138	169	26	to	to	PART
easat-10138	169	27	prevent	prevent	VERB
easat-10138	169	28	excessive	excessive	ADJ
easat-10138	169	29	fitting	fitting	ADJ
easat-10138	169	30	and	and	CCONJ
easat-10138	169	31	bias	bias	NOUN
easat-10138	169	32	,	,	PUNCT
easat-10138	169	33	and	and	CCONJ
easat-10138	169	34	(	(	PUNCT
easat-10138	169	35	3	3	X
easat-10138	169	36	)	)	PUNCT
easat-10138	169	37	to	to	PART
easat-10138	169	38	incorporate	incorporate	VERB
easat-10138	169	39	two	two	NUM
easat-10138	169	40	classifications	classification	NOUN
easat-10138	169	41	(	(	PUNCT
easat-10138	169	42	cancer	cancer	NOUN
easat-10138	169	43	and	and	CCONJ
easat-10138	169	44	non	non	ADJ
easat-10138	169	45	-	-	NOUN
easat-10138	169	46	cancer	cancer	NOUN
easat-10138	169	47	)	)	PUNCT
easat-10138	169	48	.	.	PUNCT
easat-10138	170	1	the	the	DET
easat-10138	170	2	integration	integration	NOUN
easat-10138	170	3	of	of	ADP
easat-10138	170	4	the	the	DET
easat-10138	170	5	datasets	dataset	NOUN
easat-10138	170	6	was	be	AUX
easat-10138	170	7	an	an	DET
easat-10138	170	8	additional	additional	ADJ
easat-10138	170	9	factor	factor	NOUN
easat-10138	170	10	that	that	PRON
easat-10138	170	11	improved	improve	VERB
easat-10138	170	12	the	the	DET
easat-10138	170	13	model	model	NOUN
easat-10138	170	14	's	's	PART
easat-10138	170	15	performance	performance	NOUN
easat-10138	170	16	.	.	PUNCT
easat-10138	171	1	the	the	DET
easat-10138	171	2	collection	collection	NOUN
easat-10138	171	3	comprises	comprise	VERB
easat-10138	171	4	1,260	1,260	NUM
easat-10138	171	5	photographs	photograph	NOUN
easat-10138	171	6	,	,	PUNCT
easat-10138	171	7	including	include	VERB
easat-10138	171	8	840	840	NUM
easat-10138	171	9	that	that	PRON
easat-10138	171	10	are	be	AUX
easat-10138	171	11	malignant	malignant	ADJ
easat-10138	171	12	and	and	CCONJ
easat-10138	171	13	420	420	NUM
easat-10138	171	14	that	that	PRON
easat-10138	171	15	are	be	AUX
easat-10138	171	16	non	non	ADJ
easat-10138	171	17	-	-	ADJ
easat-10138	171	18	cancerous	cancerous	ADJ
easat-10138	171	19	.	.	PUNCT
easat-10138	172	1	the	the	DET
easat-10138	172	2	images	image	NOUN
easat-10138	172	3	are	be	AUX
easat-10138	172	4	stored	store	VERB
easat-10138	172	5	in	in	ADP
easat-10138	172	6	jpg	jpg	NOUN
easat-10138	172	7	format	format	NOUN
easat-10138	172	8	and	and	CCONJ
easat-10138	172	9	differ	differ	VERB
easat-10138	172	10	in	in	ADP
easat-10138	172	11	pixel	pixel	PROPN
easat-10138	172	12	count	count	NOUN
easat-10138	172	13	.	.	PUNCT
easat-10138	173	1	data	datum	NOUN
easat-10138	173	2	acquisition	acquisition	NOUN
easat-10138	173	3	refers	refer	VERB
easat-10138	173	4	to	to	ADP
easat-10138	173	5	getting	get	VERB
easat-10138	173	6	a	a	DET
easat-10138	173	7	dataset	dataset	NOUN
easat-10138	173	8	from	from	ADP
easat-10138	173	9	an	an	DET
easat-10138	173	10	external	external	ADJ
easat-10138	173	11	source	source	NOUN
easat-10138	173	12	for	for	ADP
easat-10138	173	13	further	further	ADJ
easat-10138	173	14	processing	processing	NOUN
easat-10138	173	15	.	.	PUNCT
easat-10138	174	1	as	as	SCONJ
easat-10138	174	2	no	no	DET
easat-10138	174	3	action	action	NOUN
easat-10138	174	4	can	can	AUX
easat-10138	174	5	commence	commence	VERB
easat-10138	174	6	without	without	ADP
easat-10138	174	7	the	the	DET
easat-10138	174	8	dataset	dataset	NOUN
easat-10138	174	9	,	,	PUNCT
easat-10138	174	10	its	its	PRON
easat-10138	174	11	acquisition	acquisition	NOUN
easat-10138	174	12	is	be	AUX
easat-10138	174	13	invariably	invariably	ADV
easat-10138	174	14	the	the	DET
easat-10138	174	15	initial	initial	ADJ
easat-10138	174	16	stage	stage	NOUN
easat-10138	174	17	in	in	ADP
easat-10138	174	18	the	the	DET
easat-10138	174	19	workflow	workflow	NOUN
easat-10138	174	20	.	.	PUNCT
easat-10138	175	1	to	to	PART
easat-10138	175	2	train	train	VERB
easat-10138	175	3	the	the	DET
easat-10138	175	4	pre	pre	ADJ
easat-10138	175	5	-	-	ADJ
easat-10138	175	6	trained	train	VERB
easat-10138	175	7	cnn	cnn	PROPN
easat-10138	175	8	model	model	PROPN
easat-10138	175	9	resnet-50	resnet-50	PROPN
easat-10138	175	10	,	,	PUNCT
easat-10138	175	11	a	a	DET
easat-10138	175	12	dataset	dataset	NOUN
easat-10138	175	13	of	of	ADP
easat-10138	175	14	photos	photo	NOUN
easat-10138	175	15	depicting	depict	VERB
easat-10138	175	16	benign	benign	ADJ
easat-10138	175	17	,	,	PUNCT
easat-10138	175	18	malignant	malignant	ADJ
easat-10138	175	19	,	,	PUNCT
easat-10138	175	20	and	and	CCONJ
easat-10138	175	21	normal	normal	ADJ
easat-10138	175	22	breast	breast	NOUN
easat-10138	175	23	cancer	cancer	NOUN
easat-10138	175	24	occurrences	occurrence	NOUN
easat-10138	175	25	was	be	AUX
easat-10138	175	26	obtained	obtain	VERB
easat-10138	175	27	for	for	ADP
easat-10138	175	28	this	this	DET
easat-10138	175	29	study	study	NOUN
easat-10138	175	30	.	.	PUNCT
easat-10138	176	1	this	this	PRON
easat-10138	176	2	led	lead	VERB
easat-10138	176	3	to	to	ADP
easat-10138	176	4	the	the	DET
easat-10138	176	5	development	development	NOUN
easat-10138	176	6	of	of	ADP
easat-10138	176	7	a	a	DET
easat-10138	176	8	trained	train	VERB
easat-10138	176	9	model	model	NOUN
easat-10138	176	10	,	,	PUNCT
easat-10138	176	11	subsequently	subsequently	ADV
easat-10138	176	12	utilized	utilize	VERB
easat-10138	176	13	to	to	PART
easat-10138	176	14	create	create	VERB
easat-10138	176	15	a	a	DET
easat-10138	176	16	classification	classification	NOUN
easat-10138	176	17	method	method	NOUN
easat-10138	176	18	to	to	PART
easat-10138	176	19	ascertain	ascertain	VERB
easat-10138	176	20	whether	whether	SCONJ
easat-10138	176	21	the	the	DET
easat-10138	176	22	presence	presence	NOUN
easat-10138	176	23	of	of	ADP
easat-10138	176	24	a	a	DET
easat-10138	176	25	breast	breast	NOUN
easat-10138	176	26	cancer	cancer	NOUN
easat-10138	176	27	scan	scan	NOUN
easat-10138	176	28	is	be	AUX
easat-10138	176	29	benign	benign	ADJ
easat-10138	176	30	or	or	CCONJ
easat-10138	176	31	malignant	malignant	ADJ
easat-10138	176	32	.	.	PUNCT
easat-10138	177	1	figures	figure	NOUN
easat-10138	177	2	1	1	NUM
easat-10138	177	3	,	,	PUNCT
easat-10138	177	4	(	(	PUNCT
easat-10138	177	5	a	a	X
easat-10138	177	6	)	)	PUNCT
easat-10138	177	7	,	,	PUNCT
easat-10138	177	8	(	(	PUNCT
easat-10138	177	9	b	b	NOUN
easat-10138	177	10	)	)	PUNCT
easat-10138	177	11	,	,	PUNCT
easat-10138	177	12	and	and	CCONJ
easat-10138	177	13	(	(	PUNCT
easat-10138	177	14	c	c	X
easat-10138	177	15	)	)	PUNCT
easat-10138	177	16	below	below	ADP
easat-10138	177	17	represent	represent	VERB
easat-10138	177	18	a	a	DET
easat-10138	177	19	benign	benign	ADJ
easat-10138	177	20	case	case	NOUN
easat-10138	177	21	,	,	PUNCT
easat-10138	177	22	a	a	DET
easat-10138	177	23	malignant	malignant	ADJ
easat-10138	177	24	case	case	NOUN
easat-10138	177	25	,	,	PUNCT
easat-10138	177	26	and	and	CCONJ
easat-10138	177	27	a	a	DET
easat-10138	177	28	normal	normal	ADJ
easat-10138	177	29	case	case	NOUN
easat-10138	177	30	of	of	ADP
easat-10138	177	31	breast	breast	NOUN
easat-10138	177	32	cancer	cancer	NOUN
easat-10138	177	33	scans	scan	NOUN
easat-10138	177	34	,	,	PUNCT
easat-10138	177	35	respectively	respectively	ADV
easat-10138	177	36	.	.	PUNCT
easat-10138	178	1	1403	1403	NUM
easat-10138	178	2	edelweiss	edelweiss	PROPN
easat-10138	178	3	applied	apply	VERB
easat-10138	178	4	science	science	NOUN
easat-10138	178	5	and	and	CCONJ
easat-10138	178	6	technology	technology	NOUN
easat-10138	178	7	issn	issn	PROPN
easat-10138	178	8	:	:	PUNCT
easat-10138	178	9	2576	2576	NUM
easat-10138	178	10	-	-	SYM
easat-10138	178	11	8484	8484	NUM
easat-10138	178	12	vol	vol	NOUN
easat-10138	178	13	.	.	PROPN
easat-10138	179	1	9	9	NUM
easat-10138	179	2	,	,	PUNCT
easat-10138	179	3	no	no	INTJ
easat-10138	179	4	.	.	NOUN
easat-10138	179	5	9	9	NUM
easat-10138	179	6	:	:	SYM
easat-10138	179	7	1398	1398	NUM
easat-10138	179	8	-	-	SYM
easat-10138	179	9	1415	1415	NUM
easat-10138	179	10	,	,	PUNCT
easat-10138	179	11	2025	2025	NUM
easat-10138	179	12	doi	doi	NOUN
easat-10138	179	13	:	:	PUNCT
easat-10138	179	14	10.55214/2576	10.55214/2576	NUM
easat-10138	179	15	-	-	PUNCT
easat-10138	179	16	8484.v9i9.10138	8484.v9i9.10138	NOUN
easat-10138	180	1	©	©	PROPN
easat-10138	180	2	2025	2025	NUM
easat-10138	180	3	by	by	ADP
easat-10138	180	4	the	the	DET
easat-10138	180	5	authors	author	NOUN
easat-10138	180	6	;	;	PUNCT
easat-10138	180	7	licensee	licensee	PROPN
easat-10138	180	8	learning	learn	VERB
easat-10138	180	9	gate	gate	NOUN
easat-10138	180	10	figure	figure	NOUN
easat-10138	180	11	1	1	NUM
easat-10138	180	12	.	.	PUNCT
easat-10138	181	1	(	(	PUNCT
easat-10138	181	2	a	a	X
easat-10138	181	3	)	)	PUNCT
easat-10138	181	4	benign	benign	ADJ
easat-10138	181	5	case	case	NOUN
easat-10138	181	6	of	of	ADP
easat-10138	181	7	breast	breast	NOUN
easat-10138	181	8	tumor	tumor	NOUN
easat-10138	181	9	,	,	PUNCT
easat-10138	181	10	(	(	PUNCT
easat-10138	181	11	b	b	X
easat-10138	181	12	)	)	PUNCT
easat-10138	181	13	malignant	malignant	ADJ
easat-10138	181	14	case	case	NOUN
easat-10138	181	15	of	of	ADP
easat-10138	181	16	breast	breast	NOUN
easat-10138	181	17	tumor	tumor	NOUN
easat-10138	181	18	,	,	PUNCT
easat-10138	181	19	(	(	PUNCT
easat-10138	181	20	c	c	X
easat-10138	181	21	)	)	PUNCT
easat-10138	181	22	normal	normal	ADJ
easat-10138	181	23	case	case	NOUN
easat-10138	181	24	of	of	ADP
easat-10138	181	25	breast	breast	NOUN
easat-10138	181	26	tumor	tumor	NOUN
easat-10138	181	27	3.1.2	3.1.2	NUM
easat-10138	181	28	.	.	PUNCT
easat-10138	182	1	data	datum	NOUN
easat-10138	182	2	preprocessing	preprocesse	VERB
easat-10138	182	3	image	image	NOUN
easat-10138	182	4	preprocessing	preprocessing	NOUN
easat-10138	182	5	is	be	AUX
easat-10138	182	6	necessary	necessary	ADJ
easat-10138	182	7	before	before	ADP
easat-10138	182	8	utilizing	utilize	VERB
easat-10138	182	9	image	image	NOUN
easat-10138	182	10	data	datum	NOUN
easat-10138	182	11	for	for	ADP
easat-10138	182	12	model	model	NOUN
easat-10138	182	13	training	training	NOUN
easat-10138	182	14	and	and	CCONJ
easat-10138	182	15	inference	inference	NOUN
easat-10138	182	16	.	.	PUNCT
easat-10138	183	1	this	this	PRON
easat-10138	183	2	encompasses	encompass	VERB
easat-10138	183	3	,	,	PUNCT
easat-10138	183	4	among	among	ADP
easat-10138	183	5	other	other	ADJ
easat-10138	183	6	aspects	aspect	NOUN
easat-10138	183	7	,	,	PUNCT
easat-10138	183	8	altering	alter	VERB
easat-10138	183	9	the	the	DET
easat-10138	183	10	color	color	NOUN
easat-10138	183	11	,	,	PUNCT
easat-10138	183	12	dimensions	dimension	NOUN
easat-10138	183	13	,	,	PUNCT
easat-10138	183	14	and	and	CCONJ
easat-10138	183	15	orientation	orientation	NOUN
easat-10138	183	16	.	.	PUNCT
easat-10138	184	1	furthermore	furthermore	ADV
easat-10138	184	2	,	,	PUNCT
easat-10138	184	3	image	image	NOUN
easat-10138	184	4	preparation	preparation	NOUN
easat-10138	184	5	may	may	AUX
easat-10138	184	6	accelerate	accelerate	VERB
easat-10138	184	7	a	a	DET
easat-10138	184	8	model	model	NOUN
easat-10138	184	9	's	's	PART
easat-10138	184	10	learning	learning	NOUN
easat-10138	184	11	and	and	CCONJ
easat-10138	184	12	training	training	NOUN
easat-10138	184	13	process	process	NOUN
easat-10138	184	14	.	.	PUNCT
easat-10138	185	1	minimizing	minimize	VERB
easat-10138	185	2	the	the	DET
easat-10138	185	3	dimensions	dimension	NOUN
easat-10138	185	4	of	of	ADP
easat-10138	185	5	the	the	DET
easat-10138	185	6	input	input	NOUN
easat-10138	185	7	images	image	NOUN
easat-10138	185	8	will	will	AUX
easat-10138	185	9	considerably	considerably	ADV
easat-10138	185	10	decrease	decrease	VERB
easat-10138	185	11	the	the	DET
easat-10138	185	12	model	model	NOUN
easat-10138	185	13	's	's	PART
easat-10138	185	14	training	training	NOUN
easat-10138	185	15	duration	duration	NOUN
easat-10138	185	16	without	without	ADP
easat-10138	185	17	compromising	compromise	VERB
easat-10138	185	18	its	its	PRON
easat-10138	185	19	performance	performance	NOUN
easat-10138	185	20	,	,	PUNCT
easat-10138	185	21	especially	especially	ADV
easat-10138	185	22	if	if	SCONJ
easat-10138	185	23	the	the	DET
easat-10138	185	24	images	image	NOUN
easat-10138	185	25	are	be	AUX
easat-10138	185	26	huge	huge	ADJ
easat-10138	185	27	.	.	PUNCT
easat-10138	186	1	the	the	DET
easat-10138	186	2	image	image	NOUN
easat-10138	186	3	was	be	AUX
easat-10138	186	4	scaled	scale	VERB
easat-10138	186	5	to	to	ADP
easat-10138	186	6	250	250	NUM
easat-10138	186	7	by	by	ADP
easat-10138	186	8	250	250	NUM
easat-10138	186	9	pixels	pixel	NOUN
easat-10138	186	10	for	for	ADP
easat-10138	186	11	this	this	DET
easat-10138	186	12	project	project	NOUN
easat-10138	186	13	.	.	PUNCT
easat-10138	187	1	subsequently	subsequently	ADV
easat-10138	187	2	,	,	PUNCT
easat-10138	187	3	it	it	PRON
easat-10138	187	4	was	be	AUX
easat-10138	187	5	transformed	transform	VERB
easat-10138	187	6	into	into	ADP
easat-10138	187	7	rgb	rgb	PROPN
easat-10138	187	8	(	(	PUNCT
easat-10138	187	9	red	red	ADJ
easat-10138	187	10	,	,	PUNCT
easat-10138	187	11	green	green	ADJ
easat-10138	187	12	,	,	PUNCT
easat-10138	187	13	and	and	CCONJ
easat-10138	187	14	blue	blue	ADJ
easat-10138	187	15	)	)	PUNCT
easat-10138	187	16	and	and	CCONJ
easat-10138	187	17	ultimately	ultimately	ADV
easat-10138	187	18	converted	convert	VERB
easat-10138	187	19	into	into	ADP
easat-10138	187	20	a	a	DET
easat-10138	187	21	numpy	numpy	NOUN
easat-10138	187	22	array	array	NOUN
easat-10138	187	23	for	for	ADP
easat-10138	187	24	further	further	ADJ
easat-10138	187	25	processing	processing	NOUN
easat-10138	187	26	.	.	PUNCT
easat-10138	188	1	this	this	DET
easat-10138	188	2	study	study	NOUN
easat-10138	188	3	outlines	outline	VERB
easat-10138	188	4	the	the	DET
easat-10138	188	5	data	datum	NOUN
easat-10138	188	6	preprocessing	preprocessing	NOUN
easat-10138	188	7	methods	method	NOUN
easat-10138	188	8	used	use	VERB
easat-10138	188	9	to	to	PART
easat-10138	188	10	prepare	prepare	VERB
easat-10138	188	11	breast	breast	NOUN
easat-10138	188	12	cancer	cancer	NOUN
easat-10138	188	13	images	image	NOUN
easat-10138	188	14	for	for	ADP
easat-10138	188	15	analysis	analysis	NOUN
easat-10138	188	16	with	with	ADP
easat-10138	188	17	the	the	DET
easat-10138	188	18	pre	pre	ADJ
easat-10138	188	19	-	-	ADJ
easat-10138	188	20	trained	train	VERB
easat-10138	188	21	resnet-50	resnet-50	PROPN
easat-10138	188	22	model	model	NOUN
easat-10138	188	23	.	.	PUNCT
easat-10138	189	1	to	to	PART
easat-10138	189	2	ensure	ensure	VERB
easat-10138	189	3	uniformity	uniformity	NOUN
easat-10138	189	4	,	,	PUNCT
easat-10138	189	5	the	the	DET
easat-10138	189	6	photos	photo	NOUN
easat-10138	189	7	are	be	AUX
easat-10138	189	8	initially	initially	ADV
easat-10138	189	9	loaded	load	VERB
easat-10138	189	10	and	and	CCONJ
easat-10138	189	11	scaled	scale	VERB
easat-10138	189	12	to	to	ADP
easat-10138	189	13	a	a	DET
easat-10138	189	14	standard	standard	ADJ
easat-10138	189	15	dimension	dimension	NOUN
easat-10138	189	16	,	,	PUNCT
easat-10138	189	17	usually	usually	ADV
easat-10138	189	18	250x250	250x250	NUM
easat-10138	189	19	pixels	pixel	NOUN
easat-10138	189	20	.	.	PUNCT
easat-10138	190	1	subsequently	subsequently	ADV
easat-10138	190	2	,	,	PUNCT
easat-10138	190	3	the	the	DET
easat-10138	190	4	pixel	pixel	PROPN
easat-10138	190	5	values	value	NOUN
easat-10138	190	6	are	be	AUX
easat-10138	190	7	normalized	normalize	VERB
easat-10138	190	8	by	by	ADP
easat-10138	190	9	scaling	scale	VERB
easat-10138	190	10	them	they	PRON
easat-10138	190	11	from	from	ADP
easat-10138	190	12	0	0	NUM
easat-10138	190	13	-	-	SYM
easat-10138	190	14	255	255	NUM
easat-10138	190	15	to	to	ADP
easat-10138	190	16	0	0	NUM
easat-10138	190	17	-	-	SYM
easat-10138	190	18	1	1	NUM
easat-10138	190	19	to	to	PART
easat-10138	190	20	enhance	enhance	VERB
easat-10138	190	21	the	the	DET
easat-10138	190	22	model	model	NOUN
easat-10138	190	23	's	's	PART
easat-10138	190	24	learnability	learnability	NOUN
easat-10138	190	25	.	.	PUNCT
easat-10138	191	1	the	the	DET
easat-10138	191	2	enhancement	enhancement	NOUN
easat-10138	191	3	of	of	ADP
easat-10138	191	4	data	datum	NOUN
easat-10138	191	5	methods	method	NOUN
easat-10138	191	6	,	,	PUNCT
easat-10138	191	7	comprising	comprise	VERB
easat-10138	191	8	flipping	flipping	NOUN
easat-10138	191	9	,	,	PUNCT
easat-10138	191	10	rotation	rotation	NOUN
easat-10138	191	11	,	,	PUNCT
easat-10138	191	12	and	and	CCONJ
easat-10138	191	13	zooming	zooming	NOUN
easat-10138	191	14	,	,	PUNCT
easat-10138	191	15	enhances	enhance	VERB
easat-10138	191	16	image	image	NOUN
easat-10138	191	17	diversity	diversity	NOUN
easat-10138	191	18	and	and	CCONJ
easat-10138	191	19	mitigates	mitigate	VERB
easat-10138	191	20	the	the	DET
easat-10138	191	21	danger	danger	NOUN
easat-10138	191	22	of	of	ADP
easat-10138	191	23	overfitting	overfitte	VERB
easat-10138	191	24	.	.	PUNCT
easat-10138	192	1	the	the	DET
easat-10138	192	2	training	training	NOUN
easat-10138	192	3	and	and	CCONJ
easat-10138	192	4	test	test	NOUN
easat-10138	192	5	sets	set	NOUN
easat-10138	192	6	are	be	AUX
easat-10138	192	7	separated	separate	VERB
easat-10138	192	8	within	within	ADP
easat-10138	192	9	the	the	DET
easat-10138	192	10	dataset	dataset	NOUN
easat-10138	192	11	,	,	PUNCT
easat-10138	192	12	with	with	ADP
easat-10138	192	13	80	80	NUM
easat-10138	192	14	%	%	NOUN
easat-10138	192	15	allocated	allocate	VERB
easat-10138	192	16	for	for	ADP
easat-10138	192	17	training	training	NOUN
easat-10138	192	18	and	and	CCONJ
easat-10138	192	19	20	20	NUM
easat-10138	192	20	%	%	NOUN
easat-10138	192	21	for	for	ADP
easat-10138	192	22	testing	testing	NOUN
easat-10138	192	23	.	.	PUNCT
easat-10138	193	1	the	the	DET
easat-10138	193	2	photos	photo	NOUN
easat-10138	193	3	are	be	AUX
easat-10138	193	4	ultimately	ultimately	ADV
easat-10138	193	5	processed	process	VERB
easat-10138	193	6	by	by	ADP
easat-10138	193	7	the	the	DET
easat-10138	193	8	already	already	ADV
easat-10138	193	9	learned	learn	VERB
easat-10138	193	10	resnet-50	resnet-50	PROPN
easat-10138	193	11	model	model	NOUN
easat-10138	193	12	,	,	PUNCT
easat-10138	193	13	which	which	PRON
easat-10138	193	14	has	have	AUX
easat-10138	193	15	been	be	AUX
easat-10138	193	16	trained	train	VERB
easat-10138	193	17	on	on	ADP
easat-10138	193	18	extensive	extensive	ADJ
easat-10138	193	19	data	datum	NOUN
easat-10138	193	20	and	and	CCONJ
easat-10138	193	21	can	can	AUX
easat-10138	193	22	identify	identify	VERB
easat-10138	193	23	critical	critical	ADJ
easat-10138	193	24	features	feature	NOUN
easat-10138	193	25	in	in	ADP
easat-10138	193	26	breast	breast	NOUN
easat-10138	193	27	cancer	cancer	NOUN
easat-10138	193	28	images	image	NOUN
easat-10138	193	29	.	.	PUNCT
easat-10138	194	1	these	these	DET
easat-10138	194	2	procedures	procedure	NOUN
easat-10138	194	3	guarantee	guarantee	VERB
easat-10138	194	4	that	that	SCONJ
easat-10138	194	5	the	the	DET
easat-10138	194	6	dataset	dataset	NOUN
easat-10138	194	7	is	be	AUX
easat-10138	194	8	prepared	prepare	VERB
easat-10138	194	9	for	for	ADP
easat-10138	194	10	precise	precise	ADJ
easat-10138	194	11	model	model	NOUN
easat-10138	194	12	training	training	NOUN
easat-10138	194	13	and	and	CCONJ
easat-10138	194	14	evaluation	evaluation	NOUN
easat-10138	194	15	.	.	PUNCT
easat-10138	195	1	3.1.3	3.1.3	NUM
easat-10138	195	2	.	.	PUNCT
easat-10138	195	3	data	data	PROPN
easat-10138	195	4	partition	partition	PROPN
easat-10138	195	5	data	datum	NOUN
easat-10138	195	6	partitioning	partitioning	NOUN
easat-10138	195	7	encompasses	encompass	VERB
easat-10138	195	8	splitting	split	VERB
easat-10138	195	9	the	the	DET
easat-10138	195	10	image	image	NOUN
easat-10138	195	11	data	datum	NOUN
easat-10138	195	12	into	into	ADP
easat-10138	195	13	two	two	NUM
easat-10138	195	14	segments	segment	NOUN
easat-10138	195	15	:	:	PUNCT
easat-10138	195	16	the	the	DET
easat-10138	195	17	independent	independent	ADJ
easat-10138	195	18	and	and	CCONJ
easat-10138	195	19	dependent	dependent	ADJ
easat-10138	195	20	numpy	numpy	NOUN
easat-10138	195	21	arrays	array	VERB
easat-10138	195	22	.	.	PUNCT
easat-10138	196	1	the	the	DET
easat-10138	196	2	autonomous	autonomous	ADJ
easat-10138	196	3	numpy	numpy	NOUN
easat-10138	196	4	array	array	NOUN
easat-10138	196	5	comprises	comprise	VERB
easat-10138	196	6	photographs	photograph	NOUN
easat-10138	196	7	classified	classify	VERB
easat-10138	196	8	as	as	ADP
easat-10138	196	9	benign	benign	ADJ
easat-10138	196	10	,	,	PUNCT
easat-10138	196	11	malignant	malignant	ADJ
easat-10138	196	12	,	,	PUNCT
easat-10138	196	13	or	or	CCONJ
easat-10138	196	14	normal	normal	ADJ
easat-10138	196	15	cases	case	NOUN
easat-10138	196	16	.	.	PUNCT
easat-10138	197	1	these	these	PRON
easat-10138	197	2	are	be	AUX
easat-10138	197	3	the	the	DET
easat-10138	197	4	specific	specific	ADJ
easat-10138	197	5	attributes	attribute	NOUN
easat-10138	197	6	that	that	PRON
easat-10138	197	7	the	the	DET
easat-10138	197	8	model	model	NOUN
easat-10138	197	9	will	will	AUX
easat-10138	197	10	evaluate	evaluate	VERB
easat-10138	197	11	to	to	PART
easat-10138	197	12	provide	provide	VERB
easat-10138	197	13	predictions	prediction	NOUN
easat-10138	197	14	.	.	PUNCT
easat-10138	198	1	the	the	DET
easat-10138	198	2	dependent	dependent	ADJ
easat-10138	198	3	numpy	numpy	NOUN
easat-10138	198	4	array	array	NOUN
easat-10138	198	5	contains	contain	VERB
easat-10138	198	6	the	the	DET
easat-10138	198	7	labels	label	NOUN
easat-10138	198	8	for	for	ADP
easat-10138	198	9	each	each	DET
easat-10138	198	10	image	image	NOUN
easat-10138	198	11	in	in	ADP
easat-10138	198	12	the	the	DET
easat-10138	198	13	independent	independent	ADJ
easat-10138	198	14	variety	variety	NOUN
easat-10138	198	15	,	,	PUNCT
easat-10138	198	16	including	include	VERB
easat-10138	198	17	'	'	PUNCT
easat-10138	198	18	benign	benign	ADJ
easat-10138	198	19	,	,	PUNCT
easat-10138	198	20	'	'	PUNCT
easat-10138	198	21	'	'	PUNCT
easat-10138	198	22	malignant	malignant	ADJ
easat-10138	198	23	,	,	PUNCT
easat-10138	198	24	'	'	PUNCT
easat-10138	198	25	or	or	CCONJ
easat-10138	198	26	'	'	PUNCT
easat-10138	198	27	normal	normal	ADJ
easat-10138	198	28	.	.	PUNCT
easat-10138	198	29	'	'	PUNCT
easat-10138	199	1	these	these	DET
easat-10138	199	2	labels	label	NOUN
easat-10138	199	3	inform	inform	VERB
easat-10138	199	4	the	the	DET
easat-10138	199	5	model	model	NOUN
easat-10138	199	6	of	of	ADP
easat-10138	199	7	the	the	DET
easat-10138	199	8	representation	representation	NOUN
easat-10138	199	9	of	of	ADP
easat-10138	199	10	each	each	DET
easat-10138	199	11	image	image	NOUN
easat-10138	199	12	and	and	CCONJ
easat-10138	199	13	are	be	AUX
easat-10138	199	14	utilized	utilize	VERB
easat-10138	199	15	throughout	throughout	ADP
easat-10138	199	16	the	the	DET
easat-10138	199	17	training	training	NOUN
easat-10138	199	18	process	process	NOUN
easat-10138	199	19	to	to	PART
easat-10138	199	20	facilitate	facilitate	VERB
easat-10138	199	21	the	the	DET
easat-10138	199	22	model	model	NOUN
easat-10138	199	23	's	's	PART
easat-10138	199	24	learning	learning	NOUN
easat-10138	199	25	.	.	PUNCT
easat-10138	200	1	scaling	scale	VERB
easat-10138	200	2	is	be	AUX
easat-10138	200	3	done	do	VERB
easat-10138	200	4	to	to	ADP
easat-10138	200	5	the	the	DET
easat-10138	200	6	independent	independent	ADJ
easat-10138	200	7	numpy	numpy	NOUN
easat-10138	200	8	array	array	NOUN
easat-10138	200	9	to	to	PART
easat-10138	200	10	enable	enable	VERB
easat-10138	200	11	the	the	DET
easat-10138	200	12	model	model	NOUN
easat-10138	200	13	's	's	PART
easat-10138	200	14	data	datum	NOUN
easat-10138	200	15	processing	processing	NOUN
easat-10138	200	16	.	.	PUNCT
easat-10138	201	1	scaling	scaling	NOUN
easat-10138	201	2	reduces	reduce	VERB
easat-10138	201	3	the	the	DET
easat-10138	201	4	disparity	disparity	NOUN
easat-10138	201	5	in	in	ADP
easat-10138	201	6	size	size	NOUN
easat-10138	201	7	among	among	ADP
easat-10138	201	8	pixels	pixel	NOUN
easat-10138	201	9	in	in	ADP
easat-10138	201	10	an	an	DET
easat-10138	201	11	image	image	NOUN
easat-10138	201	12	,	,	PUNCT
easat-10138	201	13	thereby	thereby	ADV
easat-10138	201	14	enhancing	enhance	VERB
easat-10138	201	15	their	their	PRON
easat-10138	201	16	uniformity	uniformity	NOUN
easat-10138	201	17	.	.	PUNCT
easat-10138	202	1	this	this	DET
easat-10138	202	2	stage	stage	NOUN
easat-10138	202	3	guarantees	guarantee	VERB
easat-10138	202	4	that	that	SCONJ
easat-10138	202	5	the	the	DET
easat-10138	202	6	model	model	NOUN
easat-10138	202	7	regards	regard	VERB
easat-10138	202	8	each	each	DET
easat-10138	202	9	pixel	pixel	NOUN
easat-10138	202	10	uniformly	uniformly	ADV
easat-10138	202	11	and	and	CCONJ
easat-10138	202	12	acquires	acquire	VERB
easat-10138	202	13	knowledge	knowledge	NOUN
easat-10138	202	14	effectively	effectively	ADV
easat-10138	202	15	from	from	ADP
easat-10138	202	16	the	the	DET
easat-10138	202	17	images	image	NOUN
easat-10138	202	18	.	.	PUNCT
easat-10138	203	1	3.1.4	3.1.4	NUM
easat-10138	203	2	.	.	PUNCT
easat-10138	203	3	data	datum	NOUN
easat-10138	203	4	splitting	split	VERB
easat-10138	203	5	processing	processing	NOUN
easat-10138	203	6	data	datum	NOUN
easat-10138	203	7	was	be	AUX
easat-10138	203	8	separated	separate	VERB
easat-10138	203	9	into	into	ADP
easat-10138	203	10	training	training	NOUN
easat-10138	203	11	and	and	CCONJ
easat-10138	203	12	testing	testing	NOUN
easat-10138	203	13	sets	set	NOUN
easat-10138	203	14	using	use	VERB
easat-10138	203	15	the	the	DET
easat-10138	203	16	scikit	scikit	NOUN
easat-10138	203	17	-	-	PUNCT
easat-10138	203	18	learn	learn	NOUN
easat-10138	203	19	module	module	NOUN
easat-10138	203	20	's	's	PART
easat-10138	203	21	"	"	PUNCT
easat-10138	203	22	train_test_split	train_test_split	ADJ
easat-10138	203	23	"	"	PUNCT
easat-10138	203	24	method	method	NOUN
easat-10138	203	25	.	.	PUNCT
easat-10138	204	1	this	this	DET
easat-10138	204	2	feature	feature	NOUN
easat-10138	204	3	splits	split	VERB
easat-10138	204	4	the	the	DET
easat-10138	204	5	data	datum	NOUN
easat-10138	204	6	arbitrarily	arbitrarily	ADV
easat-10138	204	7	into	into	ADP
easat-10138	204	8	two	two	NUM
easat-10138	204	9	sections	section	NOUN
easat-10138	204	10	:	:	PUNCT
easat-10138	204	11	one	one	NUM
easat-10138	204	12	for	for	ADP
easat-10138	204	13	performance	performance	NOUN
easat-10138	204	14	assessment	assessment	NOUN
easat-10138	204	15	and	and	CCONJ
easat-10138	204	16	the	the	DET
easat-10138	204	17	other	other	ADJ
easat-10138	204	18	for	for	ADP
easat-10138	204	19	model	model	NOUN
easat-10138	204	20	training	training	NOUN
easat-10138	204	21	.	.	PUNCT
easat-10138	205	1	the	the	DET
easat-10138	205	2	training	training	NOUN
easat-10138	205	3	set	set	NOUN
easat-10138	205	4	instructs	instruct	VERB
easat-10138	205	5	the	the	DET
easat-10138	205	6	pre	pre	ADJ
easat-10138	205	7	-	-	ADJ
easat-10138	205	8	trained	train	VERB
easat-10138	205	9	cnn	cnn	PROPN
easat-10138	205	10	model	model	NOUN
easat-10138	205	11	,	,	PUNCT
easat-10138	205	12	resnet-50	resnet-50	PROPN
easat-10138	205	13	,	,	PUNCT
easat-10138	205	14	by	by	ADP
easat-10138	205	15	providing	provide	VERB
easat-10138	205	16	images	image	NOUN
easat-10138	205	17	and	and	CCONJ
easat-10138	205	18	their	their	PRON
easat-10138	205	19	labels	label	NOUN
easat-10138	205	20	.	.	PUNCT
easat-10138	206	1	the	the	DET
easat-10138	206	2	model	model	NOUN
easat-10138	206	3	acquires	acquire	VERB
easat-10138	206	4	patterns	pattern	NOUN
easat-10138	206	5	and	and	CCONJ
easat-10138	206	6	characteristics	characteristic	NOUN
easat-10138	206	7	that	that	PRON
easat-10138	206	8	facilitate	facilitate	VERB
easat-10138	206	9	its	its	PRON
easat-10138	206	10	predictive	predictive	ADJ
easat-10138	206	11	capabilities	capability	NOUN
easat-10138	206	12	in	in	ADP
easat-10138	206	13	this	this	DET
easat-10138	206	14	phase	phase	NOUN
easat-10138	206	15	.	.	PUNCT
easat-10138	207	1	the	the	DET
easat-10138	207	2	trained	train	VERB
easat-10138	207	3	model	model	NOUN
easat-10138	207	4	is	be	AUX
easat-10138	207	5	subsequently	subsequently	ADV
easat-10138	207	6	assessed	assess	VERB
easat-10138	207	7	utilizing	utilize	VERB
easat-10138	207	8	the	the	DET
easat-10138	207	9	testing	testing	NOUN
easat-10138	207	10	set	set	NOUN
easat-10138	207	11	,	,	PUNCT
easat-10138	207	12	which	which	PRON
easat-10138	207	13	the	the	DET
easat-10138	207	14	model	model	NOUN
easat-10138	207	15	has	have	AUX
easat-10138	207	16	not	not	PART
easat-10138	207	17	encountered	encounter	VERB
easat-10138	207	18	during	during	ADP
easat-10138	207	19	training	training	NOUN
easat-10138	207	20	.	.	PUNCT
easat-10138	208	1	this	this	DET
easat-10138	208	2	assessment	assessment	NOUN
easat-10138	208	3	ascertains	ascertain	VERB
easat-10138	208	4	the	the	DET
easat-10138	208	5	1404	1404	NUM
easat-10138	208	6	edelweiss	edelweiss	PROPN
easat-10138	208	7	applied	apply	VERB
easat-10138	208	8	science	science	NOUN
easat-10138	208	9	and	and	CCONJ
easat-10138	208	10	technology	technology	NOUN
easat-10138	208	11	issn	issn	PROPN
easat-10138	208	12	:	:	PUNCT
easat-10138	208	13	2576	2576	NUM
easat-10138	208	14	-	-	SYM
easat-10138	208	15	8484	8484	NUM
easat-10138	208	16	vol	vol	NOUN
easat-10138	208	17	.	.	PROPN
easat-10138	209	1	9	9	NUM
easat-10138	209	2	,	,	PUNCT
easat-10138	209	3	no	no	INTJ
easat-10138	209	4	.	.	NOUN
easat-10138	209	5	9	9	NUM
easat-10138	209	6	:	:	SYM
easat-10138	209	7	1398	1398	NUM
easat-10138	209	8	-	-	SYM
easat-10138	209	9	1415	1415	NUM
easat-10138	209	10	,	,	PUNCT
easat-10138	209	11	2025	2025	NUM
easat-10138	209	12	doi	doi	NOUN
easat-10138	209	13	:	:	PUNCT
easat-10138	209	14	10.55214/2576	10.55214/2576	NUM
easat-10138	209	15	-	-	PUNCT
easat-10138	209	16	8484.v9i9.10138	8484.v9i9.10138	NOUN
easat-10138	210	1	©	©	PROPN
easat-10138	210	2	2025	2025	NUM
easat-10138	210	3	by	by	ADP
easat-10138	210	4	the	the	DET
easat-10138	210	5	authors	author	NOUN
easat-10138	210	6	;	;	PUNCT
easat-10138	210	7	licensee	licensee	PROPN
easat-10138	210	8	learning	learning	PROPN
easat-10138	210	9	gate	gate	PROPN
easat-10138	210	10	model	model	PROPN
easat-10138	210	11	's	's	PART
easat-10138	210	12	efficacy	efficacy	NOUN
easat-10138	210	13	in	in	ADP
easat-10138	210	14	handling	handle	VERB
easat-10138	210	15	novel	novel	NOUN
easat-10138	210	16	,	,	PUNCT
easat-10138	210	17	unobserved	unobserved	ADJ
easat-10138	210	18	data	datum	NOUN
easat-10138	210	19	.	.	PUNCT
easat-10138	211	1	using	use	VERB
easat-10138	211	2	an	an	DET
easat-10138	211	3	80/20	80/20	NUM
easat-10138	211	4	split	split	NOUN
easat-10138	211	5	ratio	ratio	NOUN
easat-10138	211	6	,	,	PUNCT
easat-10138	211	7	this	this	DET
easat-10138	211	8	work	work	NOUN
easat-10138	211	9	designated	designate	VERB
easat-10138	211	10	80	80	NUM
easat-10138	211	11	%	%	NOUN
easat-10138	211	12	of	of	ADP
easat-10138	211	13	the	the	DET
easat-10138	211	14	data	datum	NOUN
easat-10138	211	15	for	for	ADP
easat-10138	211	16	training	training	NOUN
easat-10138	211	17	and	and	CCONJ
easat-10138	211	18	20	20	NUM
easat-10138	211	19	%	%	NOUN
easat-10138	211	20	for	for	ADP
easat-10138	211	21	testing	testing	NOUN
easat-10138	211	22	.	.	PUNCT
easat-10138	212	1	this	this	PRON
easat-10138	212	2	ensures	ensure	VERB
easat-10138	212	3	that	that	SCONJ
easat-10138	212	4	the	the	DET
easat-10138	212	5	model	model	NOUN
easat-10138	212	6	has	have	VERB
easat-10138	212	7	sufficient	sufficient	ADJ
easat-10138	212	8	data	datum	NOUN
easat-10138	212	9	for	for	ADP
easat-10138	212	10	learning	learn	VERB
easat-10138	212	11	while	while	SCONJ
easat-10138	212	12	also	also	ADV
easat-10138	212	13	being	be	AUX
easat-10138	212	14	evaluated	evaluate	VERB
easat-10138	212	15	on	on	ADP
easat-10138	212	16	a	a	DET
easat-10138	212	17	separate	separate	ADJ
easat-10138	212	18	set	set	NOUN
easat-10138	212	19	of	of	ADP
easat-10138	212	20	images	image	NOUN
easat-10138	212	21	to	to	PART
easat-10138	212	22	assess	assess	VERB
easat-10138	212	23	its	its	PRON
easat-10138	212	24	performance	performance	NOUN
easat-10138	212	25	and	and	CCONJ
easat-10138	212	26	accuracy	accuracy	NOUN
easat-10138	212	27	.	.	PUNCT
easat-10138	213	1	once	once	SCONJ
easat-10138	213	2	the	the	DET
easat-10138	213	3	model	model	NOUN
easat-10138	213	4	is	be	AUX
easat-10138	213	5	identified	identify	VERB
easat-10138	213	6	,	,	PUNCT
easat-10138	213	7	it	it	PRON
easat-10138	213	8	will	will	AUX
easat-10138	213	9	be	be	AUX
easat-10138	213	10	used	use	VERB
easat-10138	213	11	to	to	PART
easat-10138	213	12	build	build	VERB
easat-10138	213	13	a	a	DET
easat-10138	213	14	basic	basic	ADJ
easat-10138	213	15	user	user	NOUN
easat-10138	213	16	interface	interface	NOUN
easat-10138	213	17	for	for	ADP
easat-10138	213	18	end	end	NOUN
easat-10138	213	19	-	-	PUNCT
easat-10138	213	20	user	user	NOUN
easat-10138	213	21	interaction	interaction	NOUN
easat-10138	213	22	using	use	VERB
easat-10138	213	23	the	the	DET
easat-10138	213	24	flask	flask	NOUN
easat-10138	213	25	framework	framework	NOUN
easat-10138	213	26	.	.	PUNCT
easat-10138	214	1	table	table	NOUN
easat-10138	214	2	1	1	NUM
easat-10138	214	3	shows	show	VERB
easat-10138	214	4	the	the	DET
easat-10138	214	5	split	split	ADJ
easat-10138	214	6	ratio	ratio	NOUN
easat-10138	214	7	for	for	ADP
easat-10138	214	8	the	the	DET
easat-10138	214	9	dataset	dataset	NOUN
easat-10138	214	10	.	.	PUNCT
easat-10138	215	1	table	table	NOUN
easat-10138	215	2	1	1	NUM
easat-10138	215	3	.	.	PUNCT
easat-10138	215	4	dataset	dataset	VERB
easat-10138	215	5	splitting	splitting	NOUN
easat-10138	215	6	ratio	ratio	NOUN
easat-10138	215	7	.	.	PUNCT
easat-10138	216	1	data	datum	NOUN
easat-10138	216	2	type	type	NOUN
easat-10138	216	3	percentage	percentage	NOUN
easat-10138	216	4	ratio	ratio	NOUN
easat-10138	216	5	training	training	NOUN
easat-10138	216	6	set	set	VERB
easat-10138	216	7	80	80	NUM
easat-10138	216	8	%	%	NOUN
easat-10138	216	9	80/100	80/100	NUM
easat-10138	216	10	test	test	NOUN
easat-10138	216	11	set	set	VERB
easat-10138	216	12	20	20	NUM
easat-10138	216	13	%	%	NOUN
easat-10138	216	14	20/100	20/100	NUM
easat-10138	216	15	3.1.5	3.1.5	NOUN
easat-10138	216	16	.	.	PUNCT
easat-10138	217	1	deep	deep	ADJ
easat-10138	217	2	learning	learn	VERB
easat-10138	217	3	deep	deep	ADJ
easat-10138	217	4	learning	learning	NOUN
easat-10138	217	5	and	and	CCONJ
easat-10138	217	6	advanced	advanced	ADJ
easat-10138	217	7	artificial	artificial	ADJ
easat-10138	217	8	intelligence	intelligence	NOUN
easat-10138	217	9	have	have	AUX
easat-10138	217	10	significantly	significantly	ADV
easat-10138	217	11	enhanced	enhance	VERB
easat-10138	217	12	machine	machine	NOUN
easat-10138	217	13	learning	learning	NOUN
easat-10138	217	14	by	by	ADP
easat-10138	217	15	enabling	enable	VERB
easat-10138	217	16	computers	computer	NOUN
easat-10138	217	17	to	to	PART
easat-10138	217	18	perform	perform	VERB
easat-10138	217	19	tasks	task	NOUN
easat-10138	217	20	that	that	PRON
easat-10138	217	21	were	be	AUX
easat-10138	217	22	previously	previously	ADV
easat-10138	217	23	unattainable	unattainable	ADJ
easat-10138	217	24	.	.	PUNCT
easat-10138	218	1	it	it	PRON
easat-10138	218	2	entails	entail	VERB
easat-10138	218	3	training	training	NOUN
easat-10138	218	4	deep	deep	ADJ
easat-10138	218	5	,	,	PUNCT
easat-10138	218	6	multilayered	multilayere	VERB
easat-10138	218	7	artificial	artificial	ADJ
easat-10138	218	8	neural	neural	ADJ
easat-10138	218	9	networks	network	NOUN
easat-10138	218	10	to	to	PART
easat-10138	218	11	identify	identify	VERB
easat-10138	218	12	intricate	intricate	ADJ
easat-10138	218	13	patterns	pattern	NOUN
easat-10138	218	14	in	in	ADP
easat-10138	218	15	data	datum	NOUN
easat-10138	218	16	,	,	PUNCT
easat-10138	218	17	rendering	render	VERB
easat-10138	218	18	it	it	PRON
easat-10138	218	19	more	more	ADV
easat-10138	218	20	efficacious	efficacious	ADJ
easat-10138	218	21	than	than	ADP
easat-10138	218	22	conventional	conventional	ADJ
easat-10138	218	23	machine	machine	NOUN
easat-10138	218	24	learning	learning	NOUN
easat-10138	218	25	or	or	CCONJ
easat-10138	218	26	data	datum	NOUN
easat-10138	218	27	analysis	analysis	NOUN
easat-10138	218	28	techniques	technique	NOUN
easat-10138	218	29	across	across	ADP
easat-10138	218	30	diverse	diverse	ADJ
easat-10138	218	31	applications	application	NOUN
easat-10138	218	32	.	.	PUNCT
easat-10138	219	1	deep	deep	ADJ
easat-10138	219	2	learning	learning	NOUN
easat-10138	219	3	(	(	PUNCT
easat-10138	219	4	dl	dl	NOUN
easat-10138	219	5	)	)	PUNCT
easat-10138	219	6	architectures	architecture	NOUN
easat-10138	219	7	encompass	encompass	VERB
easat-10138	219	8	artificial	artificial	ADJ
easat-10138	219	9	neural	neural	ADJ
easat-10138	219	10	networks	network	NOUN
easat-10138	219	11	(	(	PUNCT
easat-10138	219	12	anns	anns	NOUN
easat-10138	219	13	)	)	PUNCT
easat-10138	219	14	and	and	CCONJ
easat-10138	219	15	convolutional	convolutional	ADJ
easat-10138	219	16	neural	neural	ADJ
easat-10138	219	17	networks	network	NOUN
easat-10138	219	18	(	(	PUNCT
easat-10138	219	19	cnns	cnns	PROPN
easat-10138	219	20	)	)	PUNCT
easat-10138	219	21	.	.	PUNCT
easat-10138	220	1	fl	fl	PROPN
easat-10138	220	2	,	,	PUNCT
easat-10138	220	3	a	a	DET
easat-10138	220	4	potent	potent	ADJ
easat-10138	220	5	methodology	methodology	NOUN
easat-10138	220	6	,	,	PUNCT
easat-10138	220	7	utilizes	utilizes	ADJ
easat-10138	220	8	knowledge	knowledge	NOUN
easat-10138	220	9	acquired	acquire	VERB
easat-10138	220	10	from	from	ADP
easat-10138	220	11	one	one	NUM
easat-10138	220	12	activity	activity	NOUN
easat-10138	220	13	to	to	PART
easat-10138	220	14	enhance	enhance	VERB
easat-10138	220	15	performance	performance	NOUN
easat-10138	220	16	in	in	ADP
easat-10138	220	17	a	a	DET
easat-10138	220	18	distinct	distinct	ADJ
easat-10138	220	19	yet	yet	ADV
easat-10138	220	20	related	relate	VERB
easat-10138	220	21	task	task	NOUN
easat-10138	220	22	.	.	PUNCT
easat-10138	221	1	comprehending	comprehending	ADJ
easat-10138	221	2	automobiles	automobile	NOUN
easat-10138	221	3	broadly	broadly	ADV
easat-10138	221	4	helps	help	VERB
easat-10138	221	5	facilitate	facilitate	VERB
easat-10138	221	6	the	the	DET
easat-10138	221	7	categorization	categorization	NOUN
easat-10138	221	8	of	of	ADP
easat-10138	221	9	trucks	truck	NOUN
easat-10138	221	10	within	within	ADP
easat-10138	221	11	photos	photo	NOUN
easat-10138	221	12	.	.	PUNCT
easat-10138	222	1	this	this	DET
easat-10138	222	2	approach	approach	NOUN
easat-10138	222	3	diminishes	diminish	VERB
easat-10138	222	4	the	the	DET
easat-10138	222	5	requirement	requirement	NOUN
easat-10138	222	6	for	for	ADP
easat-10138	222	7	extensive	extensive	ADJ
easat-10138	222	8	data	datum	NOUN
easat-10138	222	9	in	in	ADP
easat-10138	222	10	new	new	ADJ
easat-10138	222	11	tasks	task	NOUN
easat-10138	222	12	,	,	PUNCT
easat-10138	222	13	as	as	SCONJ
easat-10138	222	14	demonstrated	demonstrate	VERB
easat-10138	222	15	by	by	ADP
easat-10138	222	16	vgg-16	vgg-16	NOUN
easat-10138	222	17	,	,	PUNCT
easat-10138	222	18	mobilenet	mobilenet	NOUN
easat-10138	222	19	,	,	PUNCT
easat-10138	222	20	and	and	CCONJ
easat-10138	222	21	resnet-50	resnet-50	NOUN
easat-10138	222	22	models	model	NOUN
easat-10138	222	23	.	.	PUNCT
easat-10138	223	1	this	this	DET
easat-10138	223	2	paper	paper	NOUN
easat-10138	223	3	employs	employ	VERB
easat-10138	223	4	deep	deep	ADJ
easat-10138	223	5	learning	learning	NOUN
easat-10138	223	6	to	to	PART
easat-10138	223	7	develop	develop	VERB
easat-10138	223	8	a	a	DET
easat-10138	223	9	system	system	NOUN
easat-10138	223	10	that	that	PRON
easat-10138	223	11	accurately	accurately	ADV
easat-10138	223	12	predicts	predict	VERB
easat-10138	223	13	breast	breast	NOUN
easat-10138	223	14	cancer	cancer	NOUN
easat-10138	223	15	.	.	PUNCT
easat-10138	224	1	this	this	DET
easat-10138	224	2	study	study	NOUN
easat-10138	224	3	focuses	focus	VERB
easat-10138	224	4	on	on	ADP
easat-10138	224	5	cnns	cnn	NOUN
easat-10138	224	6	,	,	PUNCT
easat-10138	224	7	specifically	specifically	ADV
easat-10138	224	8	the	the	DET
easat-10138	224	9	resnet-50	resnet-50	PROPN
easat-10138	224	10	model	model	NOUN
easat-10138	224	11	,	,	PUNCT
easat-10138	224	12	which	which	PRON
easat-10138	224	13	excels	excel	VERB
easat-10138	224	14	at	at	ADP
easat-10138	224	15	identifying	identify	VERB
easat-10138	224	16	significant	significant	ADJ
easat-10138	224	17	patterns	pattern	NOUN
easat-10138	224	18	in	in	ADP
easat-10138	224	19	medical	medical	ADJ
easat-10138	224	20	imaging	imaging	NOUN
easat-10138	224	21	.	.	PUNCT
easat-10138	225	1	to	to	PART
easat-10138	225	2	enhance	enhance	VERB
easat-10138	225	3	system	system	NOUN
easat-10138	225	4	performance	performance	NOUN
easat-10138	225	5	with	with	ADP
easat-10138	225	6	minimal	minimal	ADJ
easat-10138	225	7	data	datum	NOUN
easat-10138	225	8	,	,	PUNCT
easat-10138	225	9	transfer	transfer	NOUN
easat-10138	225	10	learning	learning	NOUN
easat-10138	225	11	is	be	AUX
easat-10138	225	12	employed	employ	VERB
easat-10138	225	13	by	by	ADP
easat-10138	225	14	using	use	VERB
easat-10138	225	15	the	the	DET
easat-10138	225	16	information	information	NOUN
easat-10138	225	17	from	from	ADP
easat-10138	225	18	the	the	DET
easat-10138	225	19	pre	pre	ADJ
easat-10138	225	20	-	-	ADJ
easat-10138	225	21	trained	train	VERB
easat-10138	225	22	resnet-50	resnet-50	PROPN
easat-10138	225	23	model	model	NOUN
easat-10138	225	24	.	.	PUNCT
easat-10138	226	1	this	this	DET
easat-10138	226	2	method	method	NOUN
easat-10138	226	3	improves	improve	VERB
easat-10138	226	4	the	the	DET
easat-10138	226	5	system	system	NOUN
easat-10138	226	6	's	's	PART
easat-10138	226	7	ability	ability	NOUN
easat-10138	226	8	to	to	PART
easat-10138	226	9	forecast	forecast	VERB
easat-10138	226	10	breast	breast	NOUN
easat-10138	226	11	cancer	cancer	NOUN
easat-10138	226	12	with	with	ADP
easat-10138	226	13	greater	great	ADJ
easat-10138	226	14	accuracy	accuracy	NOUN
easat-10138	226	15	,	,	PUNCT
easat-10138	226	16	demonstrating	demonstrate	VERB
easat-10138	226	17	the	the	DET
easat-10138	226	18	utility	utility	NOUN
easat-10138	226	19	of	of	ADP
easat-10138	226	20	machine	machine	NOUN
easat-10138	226	21	learning	learning	NOUN
easat-10138	226	22	in	in	ADP
easat-10138	226	23	medical	medical	ADJ
easat-10138	226	24	diagnostics	diagnostic	NOUN
easat-10138	226	25	.	.	PUNCT
easat-10138	227	1	3.2	3.2	NUM
easat-10138	227	2	.	.	PUNCT
easat-10138	228	1	resnet-50	resnet-50	ADJ
easat-10138	228	2	architecture	architecture	NOUN
easat-10138	228	3	known	know	VERB
easat-10138	228	4	for	for	ADP
easat-10138	228	5	its	its	PRON
easat-10138	228	6	50	50	NUM
easat-10138	228	7	layers	layer	NOUN
easat-10138	228	8	,	,	PUNCT
easat-10138	228	9	resnet50	resnet50	NOUN
easat-10138	228	10	is	be	AUX
easat-10138	228	11	one	one	NUM
easat-10138	228	12	of	of	ADP
easat-10138	228	13	the	the	DET
easat-10138	228	14	most	most	ADV
easat-10138	228	15	popular	popular	ADJ
easat-10138	228	16	resnet	resnet	NOUN
easat-10138	228	17	architectures	architecture	NOUN
easat-10138	228	18	.	.	PUNCT
easat-10138	229	1	the	the	DET
easat-10138	229	2	model	model	NOUN
easat-10138	229	3	attained	attain	VERB
easat-10138	229	4	its	its	PRON
easat-10138	229	5	best	good	ADJ
easat-10138	229	6	performance	performance	NOUN
easat-10138	229	7	on	on	ADP
easat-10138	229	8	the	the	DET
easat-10138	229	9	imagenet	imagenet	NOUN
easat-10138	229	10	collection	collection	NOUN
easat-10138	229	11	in	in	ADP
easat-10138	229	12	2025	2025	NUM
easat-10138	229	13	.	.	PUNCT
easat-10138	230	1	resnet50	resnet50	NOUN
easat-10138	230	2	is	be	AUX
easat-10138	230	3	composed	compose	VERB
easat-10138	230	4	of	of	ADP
easat-10138	230	5	sixteen	sixteen	NUM
easat-10138	230	6	residual	residual	ADJ
easat-10138	230	7	blocks	block	NOUN
easat-10138	230	8	,	,	PUNCT
easat-10138	230	9	each	each	PRON
easat-10138	230	10	of	of	ADP
easat-10138	230	11	which	which	PRON
easat-10138	230	12	is	be	AUX
easat-10138	230	13	connected	connect	VERB
easat-10138	230	14	by	by	ADP
easat-10138	230	15	residual	residual	ADJ
easat-10138	230	16	connections	connection	NOUN
easat-10138	230	17	to	to	ADP
easat-10138	230	18	multiple	multiple	ADJ
easat-10138	230	19	convolutional	convolutional	ADJ
easat-10138	230	20	layers	layer	NOUN
easat-10138	230	21	.	.	PUNCT
easat-10138	231	1	furthermore	furthermore	ADV
easat-10138	231	2	,	,	PUNCT
easat-10138	231	3	the	the	DET
easat-10138	231	4	design	design	NOUN
easat-10138	231	5	includes	include	VERB
easat-10138	231	6	entirely	entirely	ADV
easat-10138	231	7	linked	link	VERB
easat-10138	231	8	layers	layer	NOUN
easat-10138	231	9	,	,	PUNCT
easat-10138	231	10	a	a	DET
easat-10138	231	11	softmax	softmax	ADJ
easat-10138	231	12	output	output	NOUN
easat-10138	231	13	layer	layer	NOUN
easat-10138	231	14	for	for	ADP
easat-10138	231	15	categorizing	categorize	VERB
easat-10138	231	16	,	,	PUNCT
easat-10138	231	17	and	and	CCONJ
easat-10138	231	18	pooling	pool	VERB
easat-10138	231	19	layers	layer	NOUN
easat-10138	231	20	.	.	PUNCT
easat-10138	232	1	as	as	ADP
easat-10138	232	2	a	a	DET
easat-10138	232	3	member	member	NOUN
easat-10138	232	4	of	of	ADP
easat-10138	232	5	the	the	DET
easat-10138	232	6	resnet	resnet	NOUN
easat-10138	232	7	(	(	PUNCT
easat-10138	232	8	residual	residual	ADJ
easat-10138	232	9	networks	network	NOUN
easat-10138	232	10	)	)	PUNCT
easat-10138	232	11	family	family	NOUN
easat-10138	232	12	,	,	PUNCT
easat-10138	232	13	the	the	DET
easat-10138	232	14	cnn	cnn	PROPN
easat-10138	232	15	design	design	NOUN
easat-10138	232	16	known	know	VERB
easat-10138	232	17	as	as	ADP
easat-10138	232	18	resnet-50	resnet-50	PROPN
easat-10138	232	19	was	be	AUX
easat-10138	232	20	developed	develop	VERB
easat-10138	232	21	to	to	PART
easat-10138	232	22	address	address	VERB
easat-10138	232	23	the	the	DET
easat-10138	232	24	challenges	challenge	NOUN
easat-10138	232	25	of	of	ADP
easat-10138	232	26	training	train	VERB
easat-10138	232	27	deep	deep	ADJ
easat-10138	232	28	neural	neural	ADJ
easat-10138	232	29	networks	network	NOUN
easat-10138	232	30	.	.	PUNCT
easat-10138	233	1	resnet	resnet	NOUN
easat-10138	233	2	is	be	AUX
easat-10138	233	3	constructed	construct	VERB
easat-10138	233	4	by	by	ADP
easat-10138	233	5	learning	learn	VERB
easat-10138	233	6	residual	residual	ADJ
easat-10138	233	7	functions	function	NOUN
easat-10138	233	8	rather	rather	ADV
easat-10138	233	9	than	than	ADP
easat-10138	233	10	explicitly	explicitly	ADV
easat-10138	233	11	learning	learn	VERB
easat-10138	233	12	the	the	DET
easat-10138	233	13	intended	intend	VERB
easat-10138	233	14	underlying	underlie	VERB
easat-10138	233	15	mapping	mapping	NOUN
easat-10138	233	16	between	between	ADP
easat-10138	233	17	the	the	DET
easat-10138	233	18	input	input	NOUN
easat-10138	233	19	and	and	CCONJ
easat-10138	233	20	output	output	NOUN
easat-10138	233	21	.	.	PUNCT
easat-10138	234	1	this	this	PRON
easat-10138	234	2	is	be	AUX
easat-10138	234	3	achieved	achieve	VERB
easat-10138	234	4	by	by	ADP
easat-10138	234	5	utilizing	utilize	VERB
easat-10138	234	6	skip	skip	ADJ
easat-10138	234	7	connections	connection	NOUN
easat-10138	234	8	,	,	PUNCT
easat-10138	234	9	which	which	PRON
easat-10138	234	10	enable	enable	VERB
easat-10138	234	11	the	the	DET
easat-10138	234	12	direct	direct	ADJ
easat-10138	234	13	addition	addition	NOUN
easat-10138	234	14	of	of	ADP
easat-10138	234	15	the	the	DET
easat-10138	234	16	input	input	NOUN
easat-10138	234	17	to	to	ADP
easat-10138	234	18	the	the	DET
easat-10138	234	19	output	output	NOUN
easat-10138	234	20	of	of	ADP
easat-10138	234	21	a	a	DET
easat-10138	234	22	subsequent	subsequent	ADJ
easat-10138	234	23	layer	layer	NOUN
easat-10138	234	24	in	in	ADP
easat-10138	234	25	the	the	DET
easat-10138	234	26	network	network	NOUN
easat-10138	234	27	by	by	ADP
easat-10138	234	28	circumventing	circumvent	VERB
easat-10138	234	29	one	one	NUM
easat-10138	234	30	or	or	CCONJ
easat-10138	234	31	more	more	ADJ
easat-10138	234	32	network	network	NOUN
easat-10138	234	33	layers	layer	NOUN
easat-10138	234	34	.	.	PUNCT
easat-10138	235	1	the	the	DET
easat-10138	235	2	residual	residual	ADJ
easat-10138	235	3	function	function	NOUN
easat-10138	235	4	is	be	AUX
easat-10138	235	5	the	the	DET
easat-10138	235	6	discrepancy	discrepancy	NOUN
easat-10138	235	7	between	between	ADP
easat-10138	235	8	the	the	DET
easat-10138	235	9	layer	layer	NOUN
easat-10138	235	10	's	's	PART
easat-10138	235	11	input	input	NOUN
easat-10138	235	12	and	and	CCONJ
easat-10138	235	13	output	output	NOUN
easat-10138	235	14	.	.	PUNCT
easat-10138	236	1	the	the	DET
easat-10138	236	2	suffix	suffix	ADJ
easat-10138	236	3	number	number	NOUN
easat-10138	236	4	denotes	denote	VERB
easat-10138	236	5	the	the	DET
easat-10138	236	6	number	number	NOUN
easat-10138	236	7	of	of	ADP
easat-10138	236	8	layers	layer	NOUN
easat-10138	236	9	utilized	utilize	VERB
easat-10138	236	10	in	in	ADP
easat-10138	236	11	their	their	PRON
easat-10138	236	12	network	network	NOUN
easat-10138	236	13	architecture	architecture	NOUN
easat-10138	236	14	.	.	PUNCT
easat-10138	237	1	consequently	consequently	ADV
easat-10138	237	2	,	,	PUNCT
easat-10138	237	3	resent-50	resent-50	PROPN
easat-10138	237	4	is	be	AUX
easat-10138	237	5	composed	compose	VERB
easat-10138	237	6	of	of	ADP
easat-10138	237	7	50	50	NUM
easat-10138	237	8	layers	layer	NOUN
easat-10138	237	9	.	.	PUNCT
easat-10138	238	1	the	the	DET
easat-10138	238	2	parameters	parameter	NOUN
easat-10138	238	3	of	of	ADP
easat-10138	238	4	the	the	DET
easat-10138	238	5	resnet-50	resnet-50	PROPN
easat-10138	238	6	model	model	NOUN
easat-10138	238	7	are	be	AUX
easat-10138	238	8	illustrated	illustrate	VERB
easat-10138	238	9	in	in	ADP
easat-10138	238	10	table	table	NOUN
easat-10138	238	11	2	2	NUM
easat-10138	238	12	.	.	X
easat-10138	238	13	1405	1405	NUM
easat-10138	239	1	edelweiss	edelweiss	PROPN
easat-10138	239	2	applied	apply	VERB
easat-10138	239	3	science	science	NOUN
easat-10138	239	4	and	and	CCONJ
easat-10138	239	5	technology	technology	NOUN
easat-10138	239	6	issn	issn	PROPN
easat-10138	239	7	:	:	PUNCT
easat-10138	239	8	2576	2576	NUM
easat-10138	239	9	-	-	SYM
easat-10138	239	10	8484	8484	NUM
easat-10138	239	11	vol	vol	NOUN
easat-10138	239	12	.	.	PROPN
easat-10138	240	1	9	9	NUM
easat-10138	240	2	,	,	PUNCT
easat-10138	240	3	no	no	INTJ
easat-10138	240	4	.	.	NOUN
easat-10138	240	5	9	9	NUM
easat-10138	240	6	:	:	SYM
easat-10138	240	7	1398	1398	NUM
easat-10138	240	8	-	-	SYM
easat-10138	240	9	1415	1415	NUM
easat-10138	240	10	,	,	PUNCT
easat-10138	240	11	2025	2025	NUM
easat-10138	240	12	doi	doi	NOUN
easat-10138	240	13	:	:	PUNCT
easat-10138	240	14	10.55214/2576	10.55214/2576	NUM
easat-10138	240	15	-	-	PUNCT
easat-10138	240	16	8484.v9i9.10138	8484.v9i9.10138	NOUN
easat-10138	241	1	©	©	PROPN
easat-10138	241	2	2025	2025	NUM
easat-10138	241	3	by	by	ADP
easat-10138	241	4	the	the	DET
easat-10138	241	5	authors	author	NOUN
easat-10138	241	6	;	;	PUNCT
easat-10138	241	7	licensee	licensee	PROPN
easat-10138	241	8	learning	learn	VERB
easat-10138	241	9	gate	gate	NOUN
easat-10138	241	10	table	table	NOUN
easat-10138	241	11	2	2	NUM
easat-10138	241	12	.	.	PUNCT
easat-10138	241	13	resnet50	resnet50	NOUN
easat-10138	241	14	model	model	NOUN
easat-10138	241	15	parameters	parameter	NOUN
easat-10138	241	16	.	.	PUNCT
easat-10138	242	1	parameter	parameter	NOUN
easat-10138	242	2	descriptions	description	NOUN
easat-10138	242	3	number	number	NOUN
easat-10138	242	4	of	of	ADP
easat-10138	242	5	layers	layer	NOUN
easat-10138	242	6	50	50	NUM
easat-10138	242	7	layers	layer	NOUN
easat-10138	242	8	(	(	PUNCT
easat-10138	242	9	including	include	VERB
easat-10138	242	10	convolutional	convolutional	ADJ
easat-10138	242	11	,	,	PUNCT
easat-10138	242	12	pooling	pooling	NOUN
easat-10138	242	13	,	,	PUNCT
easat-10138	242	14	and	and	CCONJ
easat-10138	242	15	fully	fully	ADV
easat-10138	242	16	connected	connected	ADJ
easat-10138	242	17	layers	layer	NOUN
easat-10138	242	18	)	)	PUNCT
easat-10138	242	19	.	.	PUNCT
easat-10138	243	1	input	input	NOUN
easat-10138	243	2	shape	shape	NOUN
easat-10138	243	3	typically	typically	ADV
easat-10138	243	4	,	,	PUNCT
easat-10138	243	5	(	(	PUNCT
easat-10138	243	6	224	224	NUM
easat-10138	243	7	,	,	PUNCT
easat-10138	243	8	224	224	NUM
easat-10138	243	9	,	,	PUNCT
easat-10138	243	10	3	3	NUM
easat-10138	243	11	)	)	PUNCT
easat-10138	243	12	is	be	AUX
easat-10138	243	13	used	use	VERB
easat-10138	243	14	for	for	ADP
easat-10138	243	15	images	image	NOUN
easat-10138	243	16	of	of	ADP
easat-10138	243	17	size	size	NOUN
easat-10138	243	18	224x224	224x224	NUM
easat-10138	243	19	with	with	ADP
easat-10138	243	20	3	3	NUM
easat-10138	243	21	color	color	NOUN
easat-10138	243	22	channels	channel	NOUN
easat-10138	243	23	(	(	PUNCT
easat-10138	243	24	rgb	rgb	PROPN
easat-10138	243	25	)	)	PUNCT
easat-10138	243	26	.	.	PUNCT
easat-10138	244	1	kernel	kernel	PROPN
easat-10138	244	2	size	size	NOUN
easat-10138	244	3	3x3	3x3	NUM
easat-10138	244	4	number	number	NOUN
easat-10138	244	5	of	of	ADP
easat-10138	244	6	parameters	parameter	NOUN
easat-10138	244	7	approximately	approximately	ADV
easat-10138	244	8	25.6	25.6	NUM
easat-10138	244	9	million	million	NUM
easat-10138	244	10	.	.	PUNCT
easat-10138	245	1	activation	activation	NOUN
easat-10138	245	2	function	function	NOUN
easat-10138	245	3	relu	relu	NOUN
easat-10138	245	4	pooling	pool	VERB
easat-10138	245	5	layers	layer	NOUN
easat-10138	245	6	maxpooling	maxpoole	VERB
easat-10138	245	7	and	and	CCONJ
easat-10138	245	8	averagepooling	averagepooling	NOUN
easat-10138	245	9	layers	layer	NOUN
easat-10138	245	10	are	be	AUX
easat-10138	245	11	used	use	VERB
easat-10138	245	12	.	.	PUNCT
easat-10138	246	1	shortcut	shortcut	NOUN
easat-10138	246	2	connections	connection	NOUN
easat-10138	246	3	identity	identity	NOUN
easat-10138	246	4	mappings	mapping	NOUN
easat-10138	246	5	(	(	PUNCT
easat-10138	246	6	skip	skip	ADJ
easat-10138	246	7	connections	connection	NOUN
easat-10138	246	8	)	)	PUNCT
easat-10138	246	9	to	to	PART
easat-10138	246	10	address	address	VERB
easat-10138	246	11	vanishing	vanish	VERB
easat-10138	246	12	gradients	gradient	NOUN
easat-10138	246	13	output	output	NOUN
easat-10138	246	14	size	size	NOUN
easat-10138	246	15	depends	depend	VERB
easat-10138	246	16	on	on	ADP
easat-10138	246	17	the	the	DET
easat-10138	246	18	classification	classification	NOUN
easat-10138	246	19	task	task	NOUN
easat-10138	246	20	batch	batch	NOUN
easat-10138	246	21	normalization	normalization	NOUN
easat-10138	246	22	applied	apply	VERB
easat-10138	246	23	after	after	ADP
easat-10138	246	24	each	each	DET
easat-10138	246	25	convolutional	convolutional	ADJ
easat-10138	246	26	layer	layer	NOUN
easat-10138	246	27	to	to	PART
easat-10138	246	28	stabilize	stabilize	VERB
easat-10138	246	29	learning	learn	VERB
easat-10138	246	30	optimizer	optimizer	NOUN
easat-10138	246	31	typically	typically	ADV
easat-10138	246	32	used	use	VERB
easat-10138	246	33	with	with	ADP
easat-10138	246	34	optimizers	optimizer	NOUN
easat-10138	246	35	like	like	ADP
easat-10138	246	36	adam	adam	PROPN
easat-10138	246	37	or	or	CCONJ
easat-10138	246	38	sgd	sgd	VERB
easat-10138	246	39	during	during	ADP
easat-10138	246	40	training	training	NOUN
easat-10138	246	41	.	.	PUNCT
easat-10138	247	1	pretraining	pretraine	VERB
easat-10138	247	2	often	often	ADV
easat-10138	247	3	pre	pre	VERB
easat-10138	247	4	-	-	VERB
easat-10138	247	5	trained	train	VERB
easat-10138	247	6	on	on	ADP
easat-10138	247	7	imagenet	imagenet	NOUN
easat-10138	247	8	for	for	ADP
easat-10138	247	9	transfer	transfer	NOUN
easat-10138	247	10	learning	learning	NOUN
easat-10138	247	11	purposes	purpose	NOUN
easat-10138	247	12	.	.	PUNCT
easat-10138	248	1	table	table	NOUN
easat-10138	248	2	2	2	NUM
easat-10138	248	3	delineates	delineate	VERB
easat-10138	248	4	the	the	DET
easat-10138	248	5	primary	primary	ADJ
easat-10138	248	6	characteristics	characteristic	NOUN
easat-10138	248	7	of	of	ADP
easat-10138	248	8	the	the	DET
easat-10138	248	9	resnet-50	resnet-50	PROPN
easat-10138	248	10	model	model	NOUN
easat-10138	248	11	.	.	PUNCT
easat-10138	249	1	the	the	DET
easat-10138	249	2	architecture	architecture	NOUN
easat-10138	249	3	comprises	comprise	VERB
easat-10138	249	4	50	50	NUM
easat-10138	249	5	layers	layer	NOUN
easat-10138	249	6	,	,	PUNCT
easat-10138	249	7	encompassing	encompass	VERB
easat-10138	249	8	convolutional	convolutional	ADJ
easat-10138	249	9	,	,	PUNCT
easat-10138	249	10	pooling	pooling	NOUN
easat-10138	249	11	,	,	PUNCT
easat-10138	249	12	and	and	CCONJ
easat-10138	249	13	fully	fully	ADV
easat-10138	249	14	connected	connected	ADJ
easat-10138	249	15	layers	layer	NOUN
easat-10138	249	16	,	,	PUNCT
easat-10138	249	17	and	and	CCONJ
easat-10138	249	18	it	it	PRON
easat-10138	249	19	processes	process	VERB
easat-10138	249	20	images	image	NOUN
easat-10138	249	21	of	of	ADP
easat-10138	249	22	224x224	224x224	NUM
easat-10138	249	23	pixels	pixel	NOUN
easat-10138	249	24	with	with	ADP
easat-10138	249	25	three	three	NUM
easat-10138	249	26	color	color	NOUN
easat-10138	249	27	channels	channel	NOUN
easat-10138	249	28	(	(	PUNCT
easat-10138	249	29	rgb	rgb	PROPN
easat-10138	249	30	)	)	PUNCT
easat-10138	249	31	.	.	PUNCT
easat-10138	250	1	the	the	DET
easat-10138	250	2	model	model	NOUN
easat-10138	250	3	employs	employ	VERB
easat-10138	250	4	diminutive	diminutive	ADJ
easat-10138	250	5	filters	filter	NOUN
easat-10138	250	6	,	,	PUNCT
easat-10138	250	7	primarily	primarily	ADV
easat-10138	250	8	3x3	3x3	NUM
easat-10138	250	9	,	,	PUNCT
easat-10138	250	10	with	with	ADP
easat-10138	250	11	around	around	ADP
easat-10138	250	12	25.6	25.6	NUM
easat-10138	250	13	million	million	NUM
easat-10138	250	14	parameters	parameter	NOUN
easat-10138	250	15	.	.	PUNCT
easat-10138	251	1	the	the	DET
easat-10138	251	2	model	model	NOUN
easat-10138	251	3	employs	employ	VERB
easat-10138	251	4	the	the	DET
easat-10138	251	5	relu	relu	NOUN
easat-10138	251	6	activation	activation	NOUN
easat-10138	251	7	function	function	VERB
easat-10138	251	8	to	to	PART
easat-10138	251	9	enhance	enhance	VERB
easat-10138	251	10	learning	learn	VERB
easat-10138	251	11	and	and	CCONJ
easat-10138	251	12	utilizes	utilize	VERB
easat-10138	251	13	maxpooling	maxpoole	VERB
easat-10138	251	14	and	and	CCONJ
easat-10138	251	15	averagepooling	averagepoole	VERB
easat-10138	251	16	to	to	PART
easat-10138	251	17	reduce	reduce	VERB
easat-10138	251	18	image	image	NOUN
easat-10138	251	19	dimensions	dimension	NOUN
easat-10138	251	20	progressively	progressively	ADV
easat-10138	251	21	.	.	PUNCT
easat-10138	252	1	skip	skip	ADJ
easat-10138	252	2	connections	connection	NOUN
easat-10138	252	3	facilitate	facilitate	VERB
easat-10138	252	4	the	the	DET
easat-10138	252	5	model	model	NOUN
easat-10138	252	6	in	in	ADP
easat-10138	252	7	circumventing	circumvent	VERB
easat-10138	252	8	issues	issue	NOUN
easat-10138	252	9	such	such	ADJ
easat-10138	252	10	as	as	ADP
easat-10138	252	11	disappearing	disappear	VERB
easat-10138	252	12	gradients	gradient	NOUN
easat-10138	252	13	.	.	PUNCT
easat-10138	253	1	it	it	PRON
easat-10138	253	2	is	be	AUX
easat-10138	253	3	frequently	frequently	ADV
easat-10138	253	4	trained	train	VERB
easat-10138	253	5	on	on	ADP
easat-10138	253	6	datasets	dataset	NOUN
easat-10138	253	7	like	like	ADP
easat-10138	253	8	imagenet	imagenet	NOUN
easat-10138	253	9	,	,	PUNCT
easat-10138	253	10	promoting	promote	VERB
easat-10138	253	11	the	the	DET
easat-10138	253	12	development	development	NOUN
easat-10138	253	13	of	of	ADP
easat-10138	253	14	expedited	expedite	VERB
easat-10138	253	15	and	and	CCONJ
easat-10138	253	16	simplified	simplified	ADJ
easat-10138	253	17	applications	application	NOUN
easat-10138	253	18	for	for	ADP
easat-10138	253	19	novel	novel	ADJ
easat-10138	253	20	tasks	task	NOUN
easat-10138	253	21	.	.	PUNCT
easat-10138	254	1	the	the	DET
easat-10138	254	2	proposed	propose	VERB
easat-10138	254	3	model	model	NOUN
easat-10138	254	4	design	design	NOUN
easat-10138	254	5	architecture	architecture	NOUN
easat-10138	254	6	is	be	AUX
easat-10138	254	7	given	give	VERB
easat-10138	254	8	in	in	ADP
easat-10138	254	9	figure	figure	NOUN
easat-10138	254	10	2	2	NUM
easat-10138	254	11	.	.	PUNCT
easat-10138	254	12	figure	figure	NOUN
easat-10138	254	13	2	2	NUM
easat-10138	254	14	.	.	PUNCT
easat-10138	254	15	proposed	propose	VERB
easat-10138	254	16	model	model	NOUN
easat-10138	254	17	design	design	NOUN
easat-10138	254	18	architecture	architecture	NOUN
easat-10138	254	19	.	.	PUNCT
easat-10138	255	1	1406	1406	NUM
easat-10138	255	2	edelweiss	edelweiss	PROPN
easat-10138	255	3	applied	apply	VERB
easat-10138	255	4	science	science	NOUN
easat-10138	255	5	and	and	CCONJ
easat-10138	255	6	technology	technology	NOUN
easat-10138	255	7	issn	issn	PROPN
easat-10138	255	8	:	:	PUNCT
easat-10138	255	9	2576	2576	NUM
easat-10138	255	10	-	-	SYM
easat-10138	255	11	8484	8484	NUM
easat-10138	255	12	vol	vol	NOUN
easat-10138	255	13	.	.	PROPN
easat-10138	256	1	9	9	NUM
easat-10138	256	2	,	,	PUNCT
easat-10138	256	3	no	no	INTJ
easat-10138	256	4	.	.	NOUN
easat-10138	256	5	9	9	NUM
easat-10138	256	6	:	:	SYM
easat-10138	256	7	1398	1398	NUM
easat-10138	256	8	-	-	SYM
easat-10138	256	9	1415	1415	NUM
easat-10138	256	10	,	,	PUNCT
easat-10138	256	11	2025	2025	NUM
easat-10138	256	12	doi	doi	NOUN
easat-10138	256	13	:	:	PUNCT
easat-10138	256	14	10.55214/2576	10.55214/2576	NUM
easat-10138	256	15	-	-	PUNCT
easat-10138	256	16	8484.v9i9.10138	8484.v9i9.10138	NOUN
easat-10138	257	1	©	©	PROPN
easat-10138	257	2	2025	2025	NUM
easat-10138	257	3	by	by	ADP
easat-10138	257	4	the	the	DET
easat-10138	257	5	authors	author	NOUN
easat-10138	257	6	;	;	PUNCT
easat-10138	257	7	licensee	licensee	PROPN
easat-10138	257	8	learning	learning	NOUN
easat-10138	257	9	gate	gate	NOUN
easat-10138	257	10	3.3	3.3	NUM
easat-10138	257	11	.	.	PUNCT
easat-10138	258	1	model	model	NOUN
easat-10138	258	2	training	training	NOUN
easat-10138	258	3	this	this	DET
easat-10138	258	4	experiment	experiment	NOUN
easat-10138	258	5	involves	involve	VERB
easat-10138	258	6	training	train	VERB
easat-10138	258	7	the	the	DET
easat-10138	258	8	suggested	suggest	VERB
easat-10138	258	9	resnet-50	resnet-50	PROPN
easat-10138	258	10	model	model	NOUN
easat-10138	258	11	through	through	ADP
easat-10138	258	12	a	a	DET
easat-10138	258	13	methodical	methodical	ADJ
easat-10138	258	14	procedure	procedure	NOUN
easat-10138	258	15	to	to	PART
easat-10138	258	16	ensure	ensure	VERB
easat-10138	258	17	precise	precise	ADJ
easat-10138	258	18	and	and	CCONJ
easat-10138	258	19	dependable	dependable	ADJ
easat-10138	258	20	outcomes	outcome	NOUN
easat-10138	258	21	.	.	PUNCT
easat-10138	259	1	we	we	PRON
easat-10138	259	2	commence	commence	VERB
easat-10138	259	3	by	by	ADP
easat-10138	259	4	gathering	gather	VERB
easat-10138	259	5	and	and	CCONJ
easat-10138	259	6	preparing	prepare	VERB
easat-10138	259	7	the	the	DET
easat-10138	259	8	dataset	dataset	NOUN
easat-10138	259	9	.	.	PUNCT
easat-10138	260	1	images	image	NOUN
easat-10138	260	2	are	be	AUX
easat-10138	260	3	scaled	scale	VERB
easat-10138	260	4	to	to	ADP
easat-10138	260	5	224x224	224x224	NUM
easat-10138	260	6	pixels	pixel	NOUN
easat-10138	260	7	,	,	PUNCT
easat-10138	260	8	normalized	normalize	VERB
easat-10138	260	9	for	for	ADP
easat-10138	260	10	uniform	uniform	ADJ
easat-10138	260	11	scale	scale	NOUN
easat-10138	260	12	,	,	PUNCT
easat-10138	260	13	and	and	CCONJ
easat-10138	260	14	then	then	ADV
easat-10138	260	15	partitioned	partition	VERB
easat-10138	260	16	into	into	ADP
easat-10138	260	17	training	training	NOUN
easat-10138	260	18	and	and	CCONJ
easat-10138	260	19	testing	testing	NOUN
easat-10138	260	20	sets	set	NOUN
easat-10138	260	21	,	,	PUNCT
easat-10138	260	22	adhering	adhere	VERB
easat-10138	260	23	to	to	ADP
easat-10138	260	24	an	an	DET
easat-10138	260	25	80/20	80/20	NUM
easat-10138	260	26	division	division	NOUN
easat-10138	260	27	.	.	PUNCT
easat-10138	261	1	subsequently	subsequently	ADV
easat-10138	261	2	,	,	PUNCT
easat-10138	261	3	we	we	PRON
easat-10138	261	4	initialize	initialize	VERB
easat-10138	261	5	the	the	DET
easat-10138	261	6	resnet-50	resnet-50	NOUN
easat-10138	261	7	architecture	architecture	NOUN
easat-10138	261	8	.	.	PUNCT
easat-10138	262	1	to	to	PART
easat-10138	262	2	enhance	enhance	VERB
easat-10138	262	3	efficiency	efficiency	NOUN
easat-10138	262	4	and	and	CCONJ
easat-10138	262	5	performance	performance	NOUN
easat-10138	262	6	,	,	PUNCT
easat-10138	262	7	we	we	PRON
easat-10138	262	8	utilize	utilize	VERB
easat-10138	262	9	a	a	DET
easat-10138	262	10	pre	pre	ADJ
easat-10138	262	11	-	-	ADJ
easat-10138	262	12	trained	train	VERB
easat-10138	262	13	resnet-50	resnet-50	PROPN
easat-10138	262	14	model	model	NOUN
easat-10138	262	15	that	that	PRON
easat-10138	262	16	has	have	AUX
easat-10138	262	17	acquired	acquire	VERB
easat-10138	262	18	generic	generic	ADJ
easat-10138	262	19	features	feature	NOUN
easat-10138	262	20	from	from	ADP
easat-10138	262	21	an	an	DET
easat-10138	262	22	extensive	extensive	ADJ
easat-10138	262	23	dataset	dataset	NOUN
easat-10138	262	24	such	such	ADJ
easat-10138	262	25	as	as	ADP
easat-10138	262	26	imagenet	imagenet	NOUN
easat-10138	262	27	.	.	PUNCT
easat-10138	263	1	the	the	DET
easat-10138	263	2	dataset	dataset	NOUN
easat-10138	263	3	is	be	AUX
easat-10138	263	4	subsequently	subsequently	ADV
easat-10138	263	5	added	add	VERB
easat-10138	263	6	in	in	ADP
easat-10138	263	7	batches	batch	NOUN
easat-10138	263	8	to	to	PART
easat-10138	263	9	provide	provide	VERB
easat-10138	263	10	a	a	DET
easat-10138	263	11	more	more	ADV
easat-10138	263	12	manageable	manageable	ADJ
easat-10138	263	13	training	training	NOUN
easat-10138	263	14	procedure	procedure	NOUN
easat-10138	263	15	.	.	PUNCT
easat-10138	264	1	this	this	DET
easat-10138	264	2	phase	phase	NOUN
easat-10138	264	3	guarantees	guarantee	VERB
easat-10138	264	4	the	the	DET
easat-10138	264	5	model	model	NOUN
easat-10138	264	6	handles	handle	VERB
easat-10138	264	7	limited	limited	ADJ
easat-10138	264	8	data	datum	NOUN
easat-10138	264	9	segments	segment	NOUN
easat-10138	264	10	sequentially	sequentially	ADV
easat-10138	264	11	,	,	PUNCT
easat-10138	264	12	minimizing	minimize	VERB
easat-10138	264	13	memory	memory	NOUN
easat-10138	264	14	consumption	consumption	NOUN
easat-10138	264	15	and	and	CCONJ
easat-10138	264	16	accelerating	accelerate	VERB
easat-10138	264	17	training	training	NOUN
easat-10138	264	18	.	.	PUNCT
easat-10138	265	1	in	in	ADP
easat-10138	265	2	each	each	DET
easat-10138	265	3	training	training	NOUN
easat-10138	265	4	batch	batch	NOUN
easat-10138	265	5	,	,	PUNCT
easat-10138	265	6	the	the	DET
easat-10138	265	7	photos	photo	NOUN
easat-10138	265	8	are	be	AUX
easat-10138	265	9	processed	process	VERB
easat-10138	265	10	via	via	ADP
easat-10138	265	11	the	the	DET
easat-10138	265	12	resnet-50	resnet-50	ADJ
easat-10138	265	13	layers	layer	NOUN
easat-10138	265	14	.	.	PUNCT
easat-10138	266	1	the	the	DET
easat-10138	266	2	model	model	NOUN
easat-10138	266	3	identifies	identify	VERB
easat-10138	266	4	features	feature	NOUN
easat-10138	266	5	and	and	CCONJ
easat-10138	266	6	produces	produce	VERB
easat-10138	266	7	predictions	prediction	NOUN
easat-10138	266	8	for	for	ADP
easat-10138	266	9	each	each	DET
easat-10138	266	10	image	image	NOUN
easat-10138	266	11	.	.	PUNCT
easat-10138	267	1	the	the	DET
easat-10138	267	2	predictions	prediction	NOUN
easat-10138	267	3	are	be	AUX
easat-10138	267	4	evaluated	evaluate	VERB
easat-10138	267	5	against	against	ADP
easat-10138	267	6	the	the	DET
easat-10138	267	7	true	true	ADJ
easat-10138	267	8	labels	label	NOUN
easat-10138	267	9	using	use	VERB
easat-10138	267	10	a	a	DET
easat-10138	267	11	loss	loss	NOUN
easat-10138	267	12	function	function	NOUN
easat-10138	267	13	that	that	PRON
easat-10138	267	14	quantifies	quantify	VERB
easat-10138	267	15	the	the	DET
easat-10138	267	16	disparity	disparity	NOUN
easat-10138	267	17	between	between	ADP
easat-10138	267	18	the	the	DET
easat-10138	267	19	anticipated	anticipate	VERB
easat-10138	267	20	and	and	CCONJ
easat-10138	267	21	observed	observed	ADJ
easat-10138	267	22	values	value	NOUN
easat-10138	267	23	.	.	PUNCT
easat-10138	268	1	the	the	DET
easat-10138	268	2	loss	loss	NOUN
easat-10138	268	3	value	value	NOUN
easat-10138	268	4	signifies	signify	VERB
easat-10138	268	5	the	the	DET
easat-10138	268	6	degree	degree	NOUN
easat-10138	268	7	of	of	ADP
easat-10138	268	8	adjustment	adjustment	NOUN
easat-10138	268	9	needed	need	VERB
easat-10138	268	10	by	by	ADP
easat-10138	268	11	the	the	DET
easat-10138	268	12	model	model	NOUN
easat-10138	268	13	.	.	PUNCT
easat-10138	269	1	the	the	DET
easat-10138	269	2	optimizer	optimizer	NOUN
easat-10138	269	3	,	,	PUNCT
easat-10138	269	4	adam	adam	PROPN
easat-10138	269	5	,	,	PUNCT
easat-10138	269	6	uses	use	VERB
easat-10138	269	7	the	the	DET
easat-10138	269	8	loss	loss	NOUN
easat-10138	269	9	value	value	NOUN
easat-10138	269	10	to	to	PART
easat-10138	269	11	adjust	adjust	VERB
easat-10138	269	12	the	the	DET
easat-10138	269	13	model	model	NOUN
easat-10138	269	14	's	's	PART
easat-10138	269	15	settings	setting	NOUN
easat-10138	269	16	(	(	PUNCT
easat-10138	269	17	weights	weight	NOUN
easat-10138	269	18	and	and	CCONJ
easat-10138	269	19	biases	bias	NOUN
easat-10138	269	20	)	)	PUNCT
easat-10138	269	21	to	to	PART
easat-10138	269	22	minimize	minimize	VERB
easat-10138	269	23	the	the	DET
easat-10138	269	24	loss	loss	NOUN
easat-10138	269	25	.	.	PUNCT
easat-10138	270	1	this	this	DET
easat-10138	270	2	phase	phase	NOUN
easat-10138	270	3	enables	enable	VERB
easat-10138	270	4	the	the	DET
easat-10138	270	5	model	model	NOUN
easat-10138	270	6	to	to	PART
easat-10138	270	7	acquire	acquire	VERB
easat-10138	270	8	knowledge	knowledge	NOUN
easat-10138	270	9	from	from	ADP
easat-10138	270	10	its	its	PRON
easat-10138	270	11	mistakes	mistake	NOUN
easat-10138	270	12	.	.	PUNCT
easat-10138	271	1	the	the	DET
easat-10138	271	2	forward	forward	ADJ
easat-10138	271	3	propagation	propagation	NOUN
easat-10138	271	4	,	,	PUNCT
easat-10138	271	5	loss	loss	NOUN
easat-10138	271	6	computation	computation	NOUN
easat-10138	271	7	,	,	PUNCT
easat-10138	271	8	and	and	CCONJ
easat-10138	271	9	backward	backward	ADJ
easat-10138	271	10	propagation	propagation	NOUN
easat-10138	271	11	processes	process	NOUN
easat-10138	271	12	are	be	AUX
easat-10138	271	13	iterated	iterate	VERB
easat-10138	271	14	for	for	ADP
easat-10138	271	15	15	15	NUM
easat-10138	271	16	epochs	epoch	NOUN
easat-10138	271	17	,	,	PUNCT
easat-10138	271	18	each	each	PRON
easat-10138	271	19	signifying	signify	VERB
easat-10138	271	20	a	a	DET
easat-10138	271	21	complete	complete	ADJ
easat-10138	271	22	traversal	traversal	NOUN
easat-10138	271	23	of	of	ADP
easat-10138	271	24	the	the	DET
easat-10138	271	25	training	training	NOUN
easat-10138	271	26	dataset	dataset	NOUN
easat-10138	271	27	.	.	PUNCT
easat-10138	272	1	3.4	3.4	NUM
easat-10138	272	2	.	.	PUNCT
easat-10138	272	3	model	model	NOUN
easat-10138	272	4	evaluation	evaluation	NOUN
easat-10138	272	5	model	model	NOUN
easat-10138	272	6	evaluation	evaluation	NOUN
easat-10138	272	7	involves	involve	VERB
easat-10138	272	8	employing	employ	VERB
easat-10138	272	9	several	several	ADJ
easat-10138	272	10	assessment	assessment	NOUN
easat-10138	272	11	criteria	criterion	NOUN
easat-10138	272	12	to	to	PART
easat-10138	272	13	comprehend	comprehend	VERB
easat-10138	272	14	the	the	DET
easat-10138	272	15	efficacy	efficacy	NOUN
easat-10138	272	16	,	,	PUNCT
easat-10138	272	17	benefits	benefit	NOUN
easat-10138	272	18	,	,	PUNCT
easat-10138	272	19	and	and	CCONJ
easat-10138	272	20	drawbacks	drawback	NOUN
easat-10138	272	21	of	of	ADP
easat-10138	272	22	a	a	DET
easat-10138	272	23	transfer	transfer	NOUN
easat-10138	272	24	learning	learning	NOUN
easat-10138	272	25	model	model	NOUN
easat-10138	272	26	.	.	PUNCT
easat-10138	273	1	the	the	DET
easat-10138	273	2	effectiveness	effectiveness	NOUN
easat-10138	273	3	of	of	ADP
easat-10138	273	4	a	a	DET
easat-10138	273	5	model	model	NOUN
easat-10138	273	6	should	should	AUX
easat-10138	273	7	be	be	AUX
easat-10138	273	8	assessed	assess	VERB
easat-10138	273	9	early	early	ADV
easat-10138	273	10	in	in	ADP
easat-10138	273	11	the	the	DET
easat-10138	273	12	research	research	NOUN
easat-10138	273	13	phase	phase	NOUN
easat-10138	273	14	,	,	PUNCT
easat-10138	273	15	which	which	PRON
easat-10138	273	16	also	also	ADV
easat-10138	273	17	facilitates	facilitate	VERB
easat-10138	273	18	model	model	NOUN
easat-10138	273	19	monitoring	monitoring	NOUN
easat-10138	273	20	.	.	PUNCT
easat-10138	274	1	this	this	DET
easat-10138	274	2	experiment	experiment	NOUN
easat-10138	274	3	examined	examine	VERB
easat-10138	274	4	the	the	DET
easat-10138	274	5	resnet-50	resnet-50	PROPN
easat-10138	274	6	model	model	NOUN
easat-10138	274	7	using	use	VERB
easat-10138	274	8	measures	measure	NOUN
easat-10138	274	9	such	such	ADJ
easat-10138	274	10	as	as	ADP
easat-10138	274	11	the	the	DET
easat-10138	274	12	confusion	confusion	NOUN
easat-10138	274	13	matrix	matrix	NOUN
easat-10138	274	14	,	,	PUNCT
easat-10138	274	15	accuracy	accuracy	NOUN
easat-10138	274	16	score	score	NOUN
easat-10138	274	17	,	,	PUNCT
easat-10138	274	18	f1	f1	NOUN
easat-10138	274	19	score	score	NOUN
easat-10138	274	20	,	,	PUNCT
easat-10138	274	21	and	and	CCONJ
easat-10138	274	22	precision	precision	NOUN
easat-10138	274	23	.	.	PUNCT
easat-10138	275	1	accuracy	accuracy	NOUN
easat-10138	275	2	:	:	PUNCT
easat-10138	275	3	this	this	PRON
easat-10138	275	4	denotes	denote	VERB
easat-10138	275	5	the	the	DET
easat-10138	275	6	proportion	proportion	NOUN
easat-10138	275	7	of	of	ADP
easat-10138	275	8	instances	instance	NOUN
easat-10138	275	9	that	that	PRON
easat-10138	275	10	achieved	achieve	VERB
easat-10138	275	11	successful	successful	ADJ
easat-10138	275	12	classification	classification	NOUN
easat-10138	275	13	.	.	PUNCT
easat-10138	276	1	it	it	PRON
easat-10138	276	2	can	can	AUX
easat-10138	276	3	be	be	AUX
easat-10138	276	4	defined	define	VERB
easat-10138	276	5	as	as	ADP
easat-10138	276	6	the	the	DET
easat-10138	276	7	ratio	ratio	NOUN
easat-10138	276	8	of	of	ADP
easat-10138	276	9	all	all	DET
easat-10138	276	10	precisely	precisely	ADV
easat-10138	276	11	predicted	predict	VERB
easat-10138	276	12	occurrences	occurrence	NOUN
easat-10138	276	13	validated	validate	VERB
easat-10138	276	14	as	as	ADP
easat-10138	276	15	correct	correct	ADJ
easat-10138	276	16	.	.	PUNCT
easat-10138	277	1	𝐴𝑐𝑐𝑢𝑟𝑎𝑐𝑦	𝐴𝑐𝑐𝑢𝑟𝑎𝑐𝑦	PROPN
easat-10138	277	2	=	=	SYM
easat-10138	277	3	𝑇𝑁	𝑇𝑁	PROPN
easat-10138	277	4	+	+	CCONJ
easat-10138	277	5	𝑇𝑃/𝑇𝑁	𝑇𝑃/𝑇𝑁	SYM
easat-10138	277	6	+	+	CCONJ
easat-10138	277	7	𝑇𝑃	𝑇𝑃	NOUN
easat-10138	277	8	+	+	CCONJ
easat-10138	277	9	𝐹𝑁	𝐹𝑁	PROPN
easat-10138	277	10	+	+	CCONJ
easat-10138	277	11	𝐹𝑃	𝐹𝑃	PROPN
easat-10138	277	12	(	(	PUNCT
easat-10138	277	13	1	1	NUM
easat-10138	277	14	)	)	PUNCT
easat-10138	277	15	where	where	SCONJ
easat-10138	277	16	tn	tn	NOUN
easat-10138	277	17	is	be	AUX
easat-10138	277	18	true	true	ADJ
easat-10138	277	19	negative	negative	ADJ
easat-10138	277	20	,	,	PUNCT
easat-10138	277	21	tp	tp	PART
easat-10138	277	22	is	be	AUX
easat-10138	277	23	true	true	ADJ
easat-10138	277	24	positive	positive	ADJ
easat-10138	277	25	,	,	PUNCT
easat-10138	277	26	and	and	CCONJ
easat-10138	277	27	fn	fn	NOUN
easat-10138	277	28	and	and	CCONJ
easat-10138	277	29	fp	fp	PROPN
easat-10138	277	30	are	be	AUX
easat-10138	277	31	false	false	ADJ
easat-10138	277	32	negative	negative	ADJ
easat-10138	277	33	and	and	CCONJ
easat-10138	277	34	false	false	ADJ
easat-10138	277	35	positive	positive	ADJ
easat-10138	277	36	,	,	PUNCT
easat-10138	277	37	respectively	respectively	ADV
easat-10138	277	38	.	.	PUNCT
easat-10138	278	1	precision	precision	NOUN
easat-10138	278	2	:	:	PUNCT
easat-10138	278	3	this	this	PRON
easat-10138	278	4	refers	refer	VERB
easat-10138	278	5	to	to	ADP
easat-10138	278	6	the	the	DET
easat-10138	278	7	model	model	NOUN
easat-10138	278	8	's	's	PART
easat-10138	278	9	ability	ability	NOUN
easat-10138	278	10	to	to	PART
easat-10138	278	11	identify	identify	VERB
easat-10138	278	12	anomalies	anomaly	NOUN
easat-10138	278	13	in	in	ADP
easat-10138	278	14	data	datum	NOUN
easat-10138	278	15	derived	derive	VERB
easat-10138	278	16	from	from	ADP
easat-10138	278	17	garment	garment	NOUN
easat-10138	278	18	assessments	assessment	NOUN
easat-10138	278	19	.	.	PUNCT
easat-10138	279	1	it	it	PRON
easat-10138	279	2	illustrates	illustrate	VERB
easat-10138	279	3	the	the	DET
easat-10138	279	4	precision	precision	NOUN
easat-10138	279	5	of	of	ADP
easat-10138	279	6	the	the	DET
easat-10138	279	7	true	true	ADJ
easat-10138	279	8	positives	positive	NOUN
easat-10138	279	9	predicted	predict	VERB
easat-10138	279	10	by	by	ADP
easat-10138	279	11	the	the	DET
easat-10138	279	12	model	model	NOUN
easat-10138	279	13	.	.	PUNCT
easat-10138	280	1	the	the	DET
easat-10138	280	2	calculation	calculation	NOUN
easat-10138	280	3	is	be	AUX
easat-10138	280	4	derived	derive	VERB
easat-10138	280	5	from	from	ADP
easat-10138	280	6	the	the	DET
easat-10138	280	7	ratio	ratio	NOUN
easat-10138	280	8	of	of	ADP
easat-10138	280	9	true	true	ADJ
easat-10138	280	10	positive	positive	ADJ
easat-10138	280	11	findings	finding	NOUN
easat-10138	280	12	to	to	ADP
easat-10138	280	13	the	the	DET
easat-10138	280	14	total	total	ADJ
easat-10138	280	15	occurrences	occurrence	NOUN
easat-10138	280	16	the	the	DET
easat-10138	280	17	classifier	classifier	NOUN
easat-10138	280	18	identified	identify	VERB
easat-10138	280	19	as	as	ADP
easat-10138	280	20	positive	positive	ADJ
easat-10138	280	21	.	.	PUNCT
easat-10138	281	1	the	the	DET
easat-10138	281	2	range	range	NOUN
easat-10138	281	3	spans	span	VERB
easat-10138	281	4	from	from	ADP
easat-10138	281	5	0	0	NUM
easat-10138	281	6	to	to	ADP
easat-10138	281	7	1	1	NUM
easat-10138	281	8	,	,	PUNCT
easat-10138	281	9	with	with	ADP
easat-10138	281	10	1	1	NUM
easat-10138	281	11	representing	represent	VERB
easat-10138	281	12	the	the	DET
easat-10138	281	13	most	most	ADV
easat-10138	281	14	superior	superior	ADJ
easat-10138	281	15	outcome	outcome	NOUN
easat-10138	281	16	.	.	PUNCT
easat-10138	282	1	consequently	consequently	ADV
easat-10138	282	2	,	,	PUNCT
easat-10138	282	3	a	a	DET
easat-10138	282	4	more	more	ADV
easat-10138	282	5	excellent	excellent	ADJ
easat-10138	282	6	value	value	NOUN
easat-10138	282	7	is	be	AUX
easat-10138	282	8	preferable	preferable	ADJ
easat-10138	282	9	.	.	PUNCT
easat-10138	283	1	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	PROPN
easat-10138	283	2	=	=	PUNCT
easat-10138	283	3	𝑇𝑃/𝑇𝑃	𝑇𝑃/𝑇𝑃	PROPN
easat-10138	284	1	+	+	NUM
easat-10138	284	2	𝐹𝑃	𝐹𝑃	PROPN
easat-10138	284	3	(	(	PUNCT
easat-10138	284	4	2	2	NUM
easat-10138	284	5	)	)	PUNCT
easat-10138	284	6	where	where	SCONJ
easat-10138	284	7	tp	tp	NOUN
easat-10138	284	8	is	be	AUX
easat-10138	284	9	true	true	ADJ
easat-10138	284	10	positive	positive	ADJ
easat-10138	284	11	and	and	CCONJ
easat-10138	284	12	fp	fp	PROPN
easat-10138	284	13	is	be	AUX
easat-10138	284	14	false	false	ADV
easat-10138	284	15	positive	positive	ADJ
easat-10138	284	16	,	,	PUNCT
easat-10138	284	17	respectively	respectively	ADV
easat-10138	284	18	.	.	PUNCT
easat-10138	285	1	f	f	X
easat-10138	285	2	-	-	PUNCT
easat-10138	285	3	measure	measure	NOUN
easat-10138	285	4	:	:	PUNCT
easat-10138	285	5	the	the	DET
easat-10138	285	6	system	system	NOUN
easat-10138	285	7	's	's	PART
easat-10138	285	8	precision	precision	NOUN
easat-10138	285	9	and	and	CCONJ
easat-10138	285	10	recall	recall	NOUN
easat-10138	285	11	,	,	PUNCT
easat-10138	285	12	weighted	weight	VERB
easat-10138	285	13	as	as	ADP
easat-10138	285	14	a	a	DET
easat-10138	285	15	harmonic	harmonic	ADJ
easat-10138	285	16	mean	mean	NOUN
easat-10138	285	17	,	,	PUNCT
easat-10138	285	18	is	be	AUX
easat-10138	285	19	known	know	VERB
easat-10138	285	20	as	as	ADP
easat-10138	285	21	the	the	DET
easat-10138	285	22	fmeasure	fmeasure	NOUN
easat-10138	285	23	.	.	PUNCT
easat-10138	286	1	thanks	thank	NOUN
easat-10138	286	2	to	to	ADP
easat-10138	286	3	this	this	DET
easat-10138	286	4	metric	metric	ADJ
easat-10138	286	5	,	,	PUNCT
easat-10138	286	6	precision	precision	NOUN
easat-10138	286	7	and	and	CCONJ
easat-10138	286	8	recall	recall	NOUN
easat-10138	286	9	can	can	AUX
easat-10138	286	10	be	be	AUX
easat-10138	286	11	combined	combine	VERB
easat-10138	286	12	into	into	ADP
easat-10138	286	13	a	a	DET
easat-10138	286	14	single	single	ADJ
easat-10138	286	15	value	value	NOUN
easat-10138	286	16	that	that	PRON
easat-10138	286	17	considers	consider	VERB
easat-10138	286	18	both	both	DET
easat-10138	286	19	characteristics	characteristic	NOUN
easat-10138	286	20	.	.	PUNCT
easat-10138	287	1	a	a	DET
easat-10138	287	2	model	model	NOUN
easat-10138	287	3	with	with	ADP
easat-10138	287	4	an	an	DET
easat-10138	287	5	accurate	accurate	ADJ
easat-10138	287	6	classification	classification	NOUN
easat-10138	287	7	is	be	AUX
easat-10138	287	8	represented	represent	VERB
easat-10138	287	9	by	by	ADP
easat-10138	287	10	an	an	DET
easat-10138	287	11	f1	f1	ADJ
easat-10138	287	12	score	score	NOUN
easat-10138	287	13	of	of	ADP
easat-10138	287	14	1	1	NUM
easat-10138	287	15	,	,	PUNCT
easat-10138	287	16	while	while	SCONJ
easat-10138	287	17	a	a	DET
easat-10138	287	18	model	model	NOUN
easat-10138	287	19	with	with	ADP
easat-10138	287	20	an	an	DET
easat-10138	287	21	inaccurate	inaccurate	ADJ
easat-10138	287	22	classification	classification	NOUN
easat-10138	287	23	is	be	AUX
easat-10138	287	24	represented	represent	VERB
easat-10138	287	25	by	by	ADP
easat-10138	287	26	a	a	DET
easat-10138	287	27	score	score	NOUN
easat-10138	287	28	of	of	ADP
easat-10138	287	29	0	0	NUM
easat-10138	287	30	.	.	PUNCT
easat-10138	288	1	𝐹1	𝐹1	PROPN
easat-10138	288	2	𝑠𝑐𝑜𝑟𝑒	𝑠𝑐𝑜𝑟𝑒	PROPN
easat-10138	288	3	=	=	PROPN
easat-10138	288	4	𝑃𝑟𝑒𝑐𝑖𝑠𝑜𝑛	𝑃𝑟𝑒𝑐𝑖𝑠𝑜𝑛	PROPN
easat-10138	288	5	∗	∗	VERB
easat-10138	288	6	𝑅𝑒𝑐𝑎𝑙𝑙/𝑃𝑟𝑒𝑐𝑖𝑠𝑜𝑛	𝑅𝑒𝑐𝑎𝑙𝑙/𝑃𝑟𝑒𝑐𝑖𝑠𝑜𝑛	ADP
easat-10138	288	7	+	+	X
easat-10138	288	8	𝑅𝑒𝑐𝑎𝑙𝑙	𝑅𝑒𝑐𝑎𝑙𝑙	PROPN
easat-10138	288	9	(	(	PUNCT
easat-10138	288	10	3	3	NUM
easat-10138	288	11	)	)	PUNCT
easat-10138	288	12	1407	1407	NUM
easat-10138	288	13	edelweiss	edelweiss	PROPN
easat-10138	288	14	applied	apply	VERB
easat-10138	288	15	science	science	NOUN
easat-10138	288	16	and	and	CCONJ
easat-10138	288	17	technology	technology	NOUN
easat-10138	288	18	issn	issn	PROPN
easat-10138	288	19	:	:	PUNCT
easat-10138	288	20	2576	2576	NUM
easat-10138	288	21	-	-	SYM
easat-10138	288	22	8484	8484	NUM
easat-10138	288	23	vol	vol	NOUN
easat-10138	288	24	.	.	PROPN
easat-10138	289	1	9	9	NUM
easat-10138	289	2	,	,	PUNCT
easat-10138	289	3	no	no	INTJ
easat-10138	289	4	.	.	NOUN
easat-10138	289	5	9	9	NUM
easat-10138	289	6	:	:	SYM
easat-10138	289	7	1398	1398	NUM
easat-10138	289	8	-	-	SYM
easat-10138	289	9	1415	1415	NUM
easat-10138	289	10	,	,	PUNCT
easat-10138	289	11	2025	2025	NUM
easat-10138	289	12	doi	doi	NOUN
easat-10138	289	13	:	:	PUNCT
easat-10138	289	14	10.55214/2576	10.55214/2576	NUM
easat-10138	289	15	-	-	PUNCT
easat-10138	289	16	8484.v9i9.10138	8484.v9i9.10138	NOUN
easat-10138	290	1	©	©	PROPN
easat-10138	290	2	2025	2025	NUM
easat-10138	290	3	by	by	ADP
easat-10138	290	4	the	the	DET
easat-10138	290	5	authors	author	NOUN
easat-10138	290	6	;	;	PUNCT
easat-10138	290	7	licensee	licensee	PROPN
easat-10138	290	8	learning	learn	VERB
easat-10138	290	9	gate	gate	NOUN
easat-10138	290	10	table	table	NOUN
easat-10138	290	11	3	3	NUM
easat-10138	290	12	.	.	PUNCT
easat-10138	290	13	confusion	confusion	NOUN
easat-10138	290	14	matric	matric	NOUN
easat-10138	290	15	.	.	PUNCT
easat-10138	291	1	predicted	predict	VERB
easat-10138	291	2	result	result	NOUN
easat-10138	291	3	actual	actual	ADJ
easat-10138	291	4	result	result	NOUN
easat-10138	291	5	negative	negative	ADJ
easat-10138	291	6	positive	positive	ADJ
easat-10138	291	7	negative	negative	ADJ
easat-10138	291	8	tn	tn	PROPN
easat-10138	291	9	fp	fp	PROPN
easat-10138	291	10	positive	positive	PROPN
easat-10138	291	11	fn	fn	NOUN
easat-10138	291	12	tp	tp	ADP
easat-10138	291	13	the	the	DET
easat-10138	291	14	frequencies	frequency	NOUN
easat-10138	291	15	of	of	ADP
easat-10138	291	16	the	the	DET
easat-10138	291	17	expected	expect	VERB
easat-10138	291	18	and	and	CCONJ
easat-10138	291	19	actual	actual	ADJ
easat-10138	291	20	values	value	NOUN
easat-10138	291	21	are	be	AUX
easat-10138	291	22	shown	show	VERB
easat-10138	291	23	in	in	ADP
easat-10138	291	24	table	table	NOUN
easat-10138	291	25	3	3	NUM
easat-10138	291	26	.	.	PUNCT
easat-10138	292	1	the	the	DET
easat-10138	292	2	number	number	NOUN
easat-10138	292	3	of	of	ADP
easat-10138	292	4	correctly	correctly	ADV
easat-10138	292	5	classified	classified	ADJ
easat-10138	292	6	negative	negative	ADJ
easat-10138	292	7	cases	case	NOUN
easat-10138	292	8	is	be	AUX
easat-10138	292	9	indicated	indicate	VERB
easat-10138	292	10	by	by	ADP
easat-10138	292	11	the	the	DET
easat-10138	292	12	true	true	ADJ
easat-10138	292	13	negative	negative	ADJ
easat-10138	292	14	(	(	PUNCT
easat-10138	292	15	tn	tn	NOUN
easat-10138	292	16	)	)	PUNCT
easat-10138	292	17	output	output	NOUN
easat-10138	292	18	.	.	PUNCT
easat-10138	293	1	similarly	similarly	ADV
easat-10138	293	2	,	,	PUNCT
easat-10138	293	3	the	the	DET
easat-10138	293	4	true	true	ADJ
easat-10138	293	5	positive	positive	ADJ
easat-10138	293	6	(	(	PUNCT
easat-10138	293	7	tp	tp	NOUN
easat-10138	293	8	)	)	PUNCT
easat-10138	293	9	result	result	NOUN
easat-10138	293	10	represents	represent	VERB
easat-10138	293	11	the	the	DET
easat-10138	293	12	proportion	proportion	NOUN
easat-10138	293	13	of	of	ADP
easat-10138	293	14	correctly	correctly	ADV
easat-10138	293	15	detected	detect	VERB
easat-10138	293	16	positive	positive	ADJ
easat-10138	293	17	cases	case	NOUN
easat-10138	293	18	.	.	PUNCT
easat-10138	294	1	"	"	PUNCT
easat-10138	294	2	fp	fp	INTJ
easat-10138	294	3	,	,	PUNCT
easat-10138	294	4	"	"	PUNCT
easat-10138	294	5	or	or	CCONJ
easat-10138	294	6	the	the	DET
easat-10138	294	7	false	false	ADJ
easat-10138	294	8	positive	positive	ADJ
easat-10138	294	9	value	value	NOUN
easat-10138	294	10	,	,	PUNCT
easat-10138	294	11	indicates	indicate	VERB
easat-10138	294	12	the	the	DET
easat-10138	294	13	number	number	NOUN
easat-10138	294	14	of	of	ADP
easat-10138	294	15	true	true	ADJ
easat-10138	294	16	negative	negative	ADJ
easat-10138	294	17	cases	case	NOUN
easat-10138	294	18	mistakenly	mistakenly	ADV
easat-10138	294	19	categorized	categorize	VERB
easat-10138	294	20	as	as	ADP
easat-10138	294	21	positive	positive	ADJ
easat-10138	294	22	.	.	PUNCT
easat-10138	295	1	the	the	DET
easat-10138	295	2	false	false	ADJ
easat-10138	295	3	negative	negative	ADJ
easat-10138	295	4	value	value	NOUN
easat-10138	295	5	,	,	PUNCT
easat-10138	295	6	or	or	CCONJ
easat-10138	295	7	"	"	PUNCT
easat-10138	295	8	fn	fn	NOUN
easat-10138	295	9	,	,	PUNCT
easat-10138	295	10	"	"	PUNCT
easat-10138	295	11	on	on	ADP
easat-10138	295	12	the	the	DET
easat-10138	295	13	other	other	ADJ
easat-10138	295	14	hand	hand	NOUN
easat-10138	295	15	,	,	PUNCT
easat-10138	295	16	shows	show	VERB
easat-10138	295	17	how	how	SCONJ
easat-10138	295	18	many	many	ADJ
easat-10138	295	19	actual	actual	ADJ
easat-10138	295	20	positive	positive	ADJ
easat-10138	295	21	situations	situation	NOUN
easat-10138	295	22	were	be	AUX
easat-10138	295	23	mistakenly	mistakenly	ADV
easat-10138	295	24	labeled	label	VERB
easat-10138	295	25	as	as	ADP
easat-10138	295	26	negative	negative	ADJ
easat-10138	295	27	.	.	PUNCT
easat-10138	296	1	4	4	X
easat-10138	296	2	.	.	NOUN
easat-10138	296	3	results	result	NOUN
easat-10138	296	4	and	and	CCONJ
easat-10138	296	5	discussion	discussion	VERB
easat-10138	296	6	the	the	DET
easat-10138	296	7	experimental	experimental	ADJ
easat-10138	296	8	configuration	configuration	NOUN
easat-10138	296	9	for	for	ADP
easat-10138	296	10	the	the	DET
easat-10138	296	11	proposed	propose	VERB
easat-10138	296	12	model	model	NOUN
easat-10138	296	13	commences	commence	VERB
easat-10138	296	14	with	with	ADP
easat-10138	296	15	initializing	initialize	VERB
easat-10138	296	16	the	the	DET
easat-10138	296	17	parameters	parameter	NOUN
easat-10138	296	18	of	of	ADP
easat-10138	296	19	the	the	DET
easat-10138	296	20	resnet-50	resnet-50	PROPN
easat-10138	296	21	architecture	architecture	NOUN
easat-10138	296	22	.	.	PUNCT
easat-10138	297	1	we	we	PRON
easat-10138	297	2	employed	employ	VERB
easat-10138	297	3	the	the	DET
easat-10138	297	4	jupiter	jupiter	PROPN
easat-10138	297	5	notebook	notebook	PROPN
easat-10138	297	6	environment	environment	PROPN
easat-10138	297	7	,	,	PUNCT
easat-10138	297	8	importing	import	VERB
easat-10138	297	9	all	all	DET
easat-10138	297	10	necessary	necessary	ADJ
easat-10138	297	11	python	python	NOUN
easat-10138	297	12	dependencies	dependency	NOUN
easat-10138	297	13	,	,	PUNCT
easat-10138	297	14	and	and	CCONJ
easat-10138	297	15	subsequently	subsequently	ADV
easat-10138	297	16	trained	train	VERB
easat-10138	297	17	the	the	DET
easat-10138	297	18	model	model	NOUN
easat-10138	297	19	following	follow	VERB
easat-10138	297	20	extensive	extensive	ADJ
easat-10138	297	21	data	datum	NOUN
easat-10138	297	22	preprocessing	preprocessing	NOUN
easat-10138	297	23	and	and	CCONJ
easat-10138	297	24	hyperparameter	hyperparameter	NOUN
easat-10138	297	25	optimization	optimization	NOUN
easat-10138	297	26	.	.	PUNCT
easat-10138	298	1	table	table	NOUN
easat-10138	298	2	4	4	NUM
easat-10138	298	3	presents	present	VERB
easat-10138	298	4	the	the	DET
easat-10138	298	5	evaluation	evaluation	NOUN
easat-10138	298	6	findings	finding	NOUN
easat-10138	298	7	of	of	ADP
easat-10138	298	8	model	model	NOUN
easat-10138	298	9	performance	performance	NOUN
easat-10138	298	10	across	across	ADP
easat-10138	298	11	all	all	DET
easat-10138	298	12	applied	apply	VERB
easat-10138	298	13	measures	measure	NOUN
easat-10138	298	14	following	follow	VERB
easat-10138	298	15	the	the	DET
easat-10138	298	16	iterative	iterative	NOUN
easat-10138	298	17	training	training	NOUN
easat-10138	298	18	of	of	ADP
easat-10138	298	19	resnet-50	resnet-50	PROPN
easat-10138	298	20	for	for	ADP
easat-10138	298	21	15	15	NUM
easat-10138	298	22	epochs	epoch	NOUN
easat-10138	298	23	.	.	PUNCT
easat-10138	299	1	in	in	ADP
easat-10138	299	2	the	the	DET
easat-10138	299	3	final	final	ADJ
easat-10138	299	4	epoch	epoch	NOUN
easat-10138	299	5	,	,	PUNCT
easat-10138	299	6	the	the	DET
easat-10138	299	7	suggested	suggest	VERB
easat-10138	299	8	model	model	NOUN
easat-10138	299	9	attains	attain	VERB
easat-10138	299	10	an	an	DET
easat-10138	299	11	enhanced	enhanced	ADJ
easat-10138	299	12	accuracy	accuracy	NOUN
easat-10138	299	13	of	of	ADP
easat-10138	299	14	98	98	NUM
easat-10138	299	15	%	%	NOUN
easat-10138	299	16	,	,	PUNCT
easat-10138	299	17	a	a	DET
easat-10138	299	18	precision	precision	NOUN
easat-10138	299	19	of	of	ADP
easat-10138	299	20	97	97	NUM
easat-10138	299	21	%	%	NOUN
easat-10138	299	22	,	,	PUNCT
easat-10138	299	23	a	a	DET
easat-10138	299	24	recall	recall	NOUN
easat-10138	299	25	score	score	NOUN
easat-10138	299	26	of	of	ADP
easat-10138	299	27	100	100	NUM
easat-10138	299	28	%	%	NOUN
easat-10138	299	29	,	,	PUNCT
easat-10138	299	30	an	an	DET
easat-10138	299	31	f1	f1	ADJ
easat-10138	299	32	score	score	NOUN
easat-10138	299	33	of	of	ADP
easat-10138	299	34	96	96	NUM
easat-10138	299	35	%	%	NOUN
easat-10138	299	36	,	,	PUNCT
easat-10138	299	37	and	and	CCONJ
easat-10138	299	38	an	an	DET
easat-10138	299	39	auc	auc	NOUN
easat-10138	299	40	(	(	PUNCT
easat-10138	299	41	area	area	NOUN
easat-10138	299	42	under	under	ADP
easat-10138	299	43	the	the	DET
easat-10138	299	44	curve	curve	NOUN
easat-10138	299	45	)	)	PUNCT
easat-10138	299	46	of	of	ADP
easat-10138	299	47	95	95	NUM
easat-10138	299	48	%	%	NOUN
easat-10138	299	49	.	.	PUNCT
easat-10138	300	1	table	table	NOUN
easat-10138	300	2	4	4	NUM
easat-10138	300	3	.	.	NOUN
easat-10138	300	4	resnet50	resnet50	NOUN
easat-10138	300	5	performance	performance	NOUN
easat-10138	300	6	evaluation	evaluation	NOUN
easat-10138	300	7	comparison	comparison	NOUN
easat-10138	300	8	on	on	ADP
easat-10138	300	9	all	all	DET
easat-10138	300	10	applied	applied	ADJ
easat-10138	300	11	metrics	metric	NOUN
easat-10138	300	12	.	.	PUNCT
easat-10138	301	1	epoch	epoch	PROPN
easat-10138	301	2	accuracy	accuracy	PROPN
easat-10138	301	3	precision	precision	NOUN
easat-10138	301	4	recall	recall	NOUN
easat-10138	301	5	f1	f1	PROPN
easat-10138	301	6	score	score	NOUN
easat-10138	301	7	auc	auc	NOUN
easat-10138	301	8	1	1	NUM
easat-10138	301	9	0.85	0.85	NUM
easat-10138	301	10	0.87	0.87	NUM
easat-10138	301	11	0.88	0.88	NUM
easat-10138	301	12	0.88	0.88	NUM
easat-10138	301	13	0.88	0.88	NUM
easat-10138	301	14	2	2	NUM
easat-10138	301	15	0.88	0.88	NUM
easat-10138	301	16	0.89	0.89	NUM
easat-10138	301	17	0.90	0.90	NUM
easat-10138	301	18	0.90	0.90	NUM
easat-10138	301	19	0.86	0.86	NUM
easat-10138	301	20	3	3	NUM
easat-10138	301	21	0.90	0.90	NUM
easat-10138	301	22	0.87	0.87	NUM
easat-10138	301	23	0.92	0.92	NUM
easat-10138	301	24	0.91	0.91	NUM
easat-10138	301	25	0.86	0.86	NUM
easat-10138	301	26	4	4	NUM
easat-10138	301	27	0.91	0.91	NUM
easat-10138	301	28	0.90	0.90	NUM
easat-10138	301	29	0.93	0.93	NUM
easat-10138	301	30	0.92	0.92	NUM
easat-10138	301	31	0.88	0.88	NUM
easat-10138	301	32	5	5	NUM
easat-10138	301	33	0.92	0.92	NUM
easat-10138	301	34	0.91	0.91	NUM
easat-10138	301	35	0.94	0.94	NUM
easat-10138	301	36	0.93	0.93	NUM
easat-10138	301	37	0.87	0.87	NUM
easat-10138	301	38	6	6	NUM
easat-10138	301	39	0.93	0.93	NUM
easat-10138	301	40	0.92	0.92	NUM
easat-10138	301	41	0.95	0.95	NUM
easat-10138	301	42	0.94	0.94	NUM
easat-10138	301	43	0.87	0.87	NUM
easat-10138	301	44	7	7	NUM
easat-10138	301	45	0.94	0.94	NUM
easat-10138	301	46	0.93	0.93	NUM
easat-10138	301	47	0.96	0.96	NUM
easat-10138	301	48	0.94	0.94	NUM
easat-10138	301	49	0.88	0.88	NUM
easat-10138	301	50	8	8	NUM
easat-10138	301	51	0.94	0.94	NUM
easat-10138	301	52	0.93	0.93	NUM
easat-10138	301	53	0.97	0.97	NUM
easat-10138	301	54	0.95	0.95	NUM
easat-10138	301	55	0.90	0.90	NUM
easat-10138	301	56	9	9	NUM
easat-10138	301	57	0.95	0.95	NUM
easat-10138	301	58	0.92	0.92	NUM
easat-10138	301	59	0.97	0.97	NUM
easat-10138	301	60	0.96	0.96	NUM
easat-10138	301	61	0.91	0.91	NUM
easat-10138	301	62	10	10	NUM
easat-10138	301	63	0.95	0.95	NUM
easat-10138	301	64	0.95	0.95	NUM
easat-10138	301	65	0.97	0.97	NUM
easat-10138	301	66	0.96	0.96	NUM
easat-10138	301	67	0.91	0.91	NUM
easat-10138	301	68	11	11	NUM
easat-10138	301	69	0.96	0.96	NUM
easat-10138	301	70	0.95	0.95	NUM
easat-10138	301	71	0.98	0.98	NUM
easat-10138	301	72	0.95	0.95	NUM
easat-10138	301	73	0.92	0.92	NUM
easat-10138	301	74	12	12	NUM
easat-10138	301	75	0.96	0.96	NUM
easat-10138	301	76	0.96	0.96	NUM
easat-10138	301	77	0.98	0.98	NUM
easat-10138	301	78	0.95	0.95	NUM
easat-10138	301	79	0.93	0.93	NUM
easat-10138	301	80	13	13	NUM
easat-10138	301	81	0.97	0.97	NUM
easat-10138	301	82	0.96	0.96	NUM
easat-10138	301	83	0.99	0.99	NUM
easat-10138	301	84	0.95	0.95	NUM
easat-10138	301	85	0.93	0.93	NUM
easat-10138	301	86	14	14	NUM
easat-10138	301	87	0.97	0.97	NUM
easat-10138	301	88	0.97	0.97	NUM
easat-10138	301	89	0.99	0.99	NUM
easat-10138	301	90	0.96	0.96	NUM
easat-10138	301	91	0.94	0.94	NUM
easat-10138	301	92	15	15	NUM
easat-10138	301	93	0.98	0.98	NUM
easat-10138	301	94	0.97	0.97	NUM
easat-10138	301	95	1	1	NUM
easat-10138	301	96	0.96	0.96	NUM
easat-10138	301	97	0.95	0.95	NUM
easat-10138	301	98	1408	1408	NUM
easat-10138	301	99	edelweiss	edelweiss	PROPN
easat-10138	301	100	applied	apply	VERB
easat-10138	301	101	science	science	NOUN
easat-10138	301	102	and	and	CCONJ
easat-10138	301	103	technology	technology	NOUN
easat-10138	301	104	issn	issn	PROPN
easat-10138	301	105	:	:	PUNCT
easat-10138	301	106	2576	2576	NUM
easat-10138	301	107	-	-	SYM
easat-10138	301	108	8484	8484	NUM
easat-10138	301	109	vol	vol	NOUN
easat-10138	301	110	.	.	PROPN
easat-10138	302	1	9	9	NUM
easat-10138	302	2	,	,	PUNCT
easat-10138	302	3	no	no	INTJ
easat-10138	302	4	.	.	NOUN
easat-10138	302	5	9	9	NUM
easat-10138	302	6	:	:	SYM
easat-10138	302	7	1398	1398	NUM
easat-10138	302	8	-	-	SYM
easat-10138	302	9	1415	1415	NUM
easat-10138	302	10	,	,	PUNCT
easat-10138	302	11	2025	2025	NUM
easat-10138	302	12	doi	doi	NOUN
easat-10138	302	13	:	:	PUNCT
easat-10138	302	14	10.55214/2576	10.55214/2576	NUM
easat-10138	302	15	-	-	PUNCT
easat-10138	302	16	8484.v9i9.10138	8484.v9i9.10138	NOUN
easat-10138	303	1	©	©	PROPN
easat-10138	303	2	2025	2025	NUM
easat-10138	303	3	by	by	ADP
easat-10138	303	4	the	the	DET
easat-10138	303	5	authors	author	NOUN
easat-10138	303	6	;	;	PUNCT
easat-10138	303	7	licensee	licensee	PROPN
easat-10138	303	8	learning	learning	NOUN
easat-10138	303	9	gate	gate	NOUN
easat-10138	303	10	(	(	PUNCT
easat-10138	303	11	a	a	NOUN
easat-10138	303	12	)	)	PUNCT
easat-10138	303	13	(	(	PUNCT
easat-10138	303	14	b	b	X
easat-10138	303	15	)	)	PUNCT
easat-10138	303	16	figure	figure	NOUN
easat-10138	303	17	3	3	NUM
easat-10138	303	18	.	.	PUNCT
easat-10138	303	19	(	(	PUNCT
easat-10138	303	20	a	a	X
easat-10138	303	21	)	)	PUNCT
easat-10138	303	22	confusion	confusion	NOUN
easat-10138	303	23	matrix	matrix	NOUN
easat-10138	303	24	for	for	ADP
easat-10138	303	25	resnet50	resnet50	NOUN
easat-10138	303	26	training	training	NOUN
easat-10138	303	27	,	,	PUNCT
easat-10138	303	28	(	(	PUNCT
easat-10138	303	29	b	b	NOUN
easat-10138	303	30	)	)	PUNCT
easat-10138	303	31	confusion	confusion	NOUN
easat-10138	303	32	matrix	matrix	NOUN
easat-10138	303	33	for	for	ADP
easat-10138	303	34	resnet50	resnet50	NOUN
easat-10138	303	35	test	test	NOUN
easat-10138	303	36	sets	set	NOUN
easat-10138	303	37	.	.	PUNCT
easat-10138	304	1	figure	figure	NOUN
easat-10138	304	2	3	3	NUM
easat-10138	304	3	(	(	PUNCT
easat-10138	304	4	a	a	PRON
easat-10138	304	5	)	)	PUNCT
easat-10138	304	6	illustrates	illustrate	VERB
easat-10138	304	7	the	the	DET
easat-10138	304	8	model	model	NOUN
easat-10138	304	9	's	's	PART
easat-10138	304	10	performance	performance	NOUN
easat-10138	304	11	throughout	throughout	ADP
easat-10138	304	12	training	training	NOUN
easat-10138	304	13	.	.	PUNCT
easat-10138	305	1	the	the	DET
easat-10138	305	2	chart	chart	NOUN
easat-10138	305	3	is	be	AUX
easat-10138	305	4	divided	divide	VERB
easat-10138	305	5	into	into	ADP
easat-10138	305	6	two	two	NUM
easat-10138	305	7	categories	category	NOUN
easat-10138	305	8	:	:	PUNCT
easat-10138	305	9	"	"	PUNCT
easat-10138	305	10	cancer	cancer	NOUN
easat-10138	305	11	"	"	PUNCT
easat-10138	305	12	and	and	CCONJ
easat-10138	305	13	"	"	PUNCT
easat-10138	305	14	non	non	ADJ
easat-10138	305	15	-	-	NOUN
easat-10138	305	16	cancer	cancer	NOUN
easat-10138	305	17	.	.	PUNCT
easat-10138	305	18	"	"	PUNCT
easat-10138	306	1	most	most	ADJ
easat-10138	306	2	cases	case	NOUN
easat-10138	306	3	labeled	label	VERB
easat-10138	306	4	as	as	ADP
easat-10138	306	5	"	"	PUNCT
easat-10138	306	6	cancer	cancer	NOUN
easat-10138	306	7	"	"	PUNCT
easat-10138	306	8	or	or	CCONJ
easat-10138	306	9	"	"	PUNCT
easat-10138	306	10	non	non	ADJ
easat-10138	306	11	-	-	NOUN
easat-10138	306	12	cancer	cancer	NOUN
easat-10138	306	13	"	"	PUNCT
easat-10138	306	14	were	be	AUX
easat-10138	306	15	correctly	correctly	ADV
easat-10138	306	16	identified	identify	VERB
easat-10138	306	17	,	,	PUNCT
easat-10138	306	18	as	as	SCONJ
easat-10138	306	19	seen	see	VERB
easat-10138	306	20	by	by	ADP
easat-10138	306	21	the	the	DET
easat-10138	306	22	substantial	substantial	ADJ
easat-10138	306	23	figures	figure	NOUN
easat-10138	306	24	along	along	ADP
easat-10138	306	25	the	the	DET
easat-10138	306	26	diagonal	diagonal	NOUN
easat-10138	306	27	.	.	PUNCT
easat-10138	307	1	these	these	DET
easat-10138	307	2	figures	figure	NOUN
easat-10138	307	3	indicate	indicate	VERB
easat-10138	307	4	that	that	SCONJ
easat-10138	307	5	the	the	DET
easat-10138	307	6	model	model	NOUN
easat-10138	307	7	accurately	accurately	ADV
easat-10138	307	8	made	make	VERB
easat-10138	307	9	those	those	DET
easat-10138	307	10	predictions	prediction	NOUN
easat-10138	307	11	.	.	PUNCT
easat-10138	308	1	several	several	ADJ
easat-10138	308	2	situations	situation	NOUN
easat-10138	308	3	were	be	AUX
easat-10138	308	4	inaccurately	inaccurately	ADV
easat-10138	308	5	anticipated	anticipate	VERB
easat-10138	308	6	,	,	PUNCT
easat-10138	308	7	as	as	SCONJ
easat-10138	308	8	indicated	indicate	VERB
easat-10138	308	9	by	by	ADP
easat-10138	308	10	the	the	DET
easat-10138	308	11	lower	low	ADJ
easat-10138	308	12	values	value	NOUN
easat-10138	308	13	of	of	ADP
easat-10138	308	14	the	the	DET
easat-10138	308	15	diagonal	diagonal	ADJ
easat-10138	308	16	(	(	PUNCT
easat-10138	308	17	50	50	NUM
easat-10138	308	18	,	,	PUNCT
easat-10138	308	19	53	53	NUM
easat-10138	308	20	)	)	PUNCT
easat-10138	308	21	.	.	PUNCT
easat-10138	309	1	this	this	PRON
easat-10138	309	2	suggests	suggest	VERB
easat-10138	309	3	that	that	SCONJ
easat-10138	309	4	the	the	DET
easat-10138	309	5	model	model	NOUN
easat-10138	309	6	successfully	successfully	ADV
easat-10138	309	7	absorbed	absorb	VERB
easat-10138	309	8	the	the	DET
easat-10138	309	9	training	training	NOUN
easat-10138	309	10	data	datum	NOUN
easat-10138	309	11	despite	despite	SCONJ
easat-10138	309	12	minor	minor	ADJ
easat-10138	309	13	errors	error	NOUN
easat-10138	309	14	.	.	PUNCT
easat-10138	310	1	figure	figure	NOUN
easat-10138	310	2	3(b	3(b	NUM
easat-10138	310	3	)	)	PUNCT
easat-10138	310	4	illustrates	illustrate	VERB
easat-10138	310	5	the	the	DET
easat-10138	310	6	model	model	NOUN
easat-10138	310	7	's	's	PART
easat-10138	310	8	efficacy	efficacy	NOUN
easat-10138	310	9	on	on	ADP
easat-10138	310	10	novel	novel	ADJ
easat-10138	310	11	test	test	NOUN
easat-10138	310	12	data	datum	NOUN
easat-10138	310	13	.	.	PUNCT
easat-10138	311	1	similar	similar	ADJ
easat-10138	311	2	to	to	ADP
easat-10138	311	3	the	the	DET
easat-10138	311	4	training	training	NOUN
easat-10138	311	5	phase	phase	NOUN
easat-10138	311	6	,	,	PUNCT
easat-10138	311	7	the	the	DET
easat-10138	311	8	majority	majority	NOUN
easat-10138	311	9	of	of	ADP
easat-10138	311	10	"	"	PUNCT
easat-10138	311	11	cancer	cancer	NOUN
easat-10138	311	12	"	"	PUNCT
easat-10138	311	13	and	and	CCONJ
easat-10138	311	14	"	"	PUNCT
easat-10138	311	15	non	non	ADJ
easat-10138	311	16	-	-	ADJ
easat-10138	311	17	cancer	cancer	ADJ
easat-10138	311	18	"	"	PUNCT
easat-10138	311	19	instances	instance	NOUN
easat-10138	311	20	were	be	AUX
easat-10138	311	21	accurately	accurately	ADV
easat-10138	311	22	predicted	predict	VERB
easat-10138	311	23	,	,	PUNCT
easat-10138	311	24	as	as	SCONJ
easat-10138	311	25	seen	see	VERB
easat-10138	311	26	by	by	ADP
easat-10138	311	27	the	the	DET
easat-10138	311	28	substantial	substantial	ADJ
easat-10138	311	29	figures	figure	NOUN
easat-10138	311	30	along	along	ADP
easat-10138	311	31	the	the	DET
easat-10138	311	32	diagonal	diagonal	NOUN
easat-10138	311	33	.	.	PUNCT
easat-10138	312	1	a	a	DET
easat-10138	312	2	limited	limited	ADJ
easat-10138	312	3	number	number	NOUN
easat-10138	312	4	of	of	ADP
easat-10138	312	5	errors	error	NOUN
easat-10138	312	6	were	be	AUX
easat-10138	312	7	indicated	indicate	VERB
easat-10138	312	8	as	as	ADP
easat-10138	312	9	small	small	ADJ
easat-10138	312	10	numerals	numeral	NOUN
easat-10138	312	11	off	off	ADP
easat-10138	312	12	the	the	DET
easat-10138	312	13	diagonal	diagonal	NOUN
easat-10138	312	14	.	.	PUNCT
easat-10138	313	1	this	this	PRON
easat-10138	313	2	suggests	suggest	VERB
easat-10138	313	3	that	that	SCONJ
easat-10138	313	4	the	the	DET
easat-10138	313	5	model	model	NOUN
easat-10138	313	6	performs	perform	VERB
easat-10138	313	7	effectively	effectively	ADV
easat-10138	313	8	on	on	ADP
easat-10138	313	9	both	both	PRON
easat-10138	313	10	training	training	NOUN
easat-10138	313	11	and	and	CCONJ
easat-10138	313	12	novel	novel	ADJ
easat-10138	313	13	data	datum	NOUN
easat-10138	313	14	,	,	PUNCT
easat-10138	313	15	demonstrating	demonstrate	VERB
easat-10138	313	16	its	its	PRON
easat-10138	313	17	accurate	accurate	ADJ
easat-10138	313	18	predictive	predictive	ADJ
easat-10138	313	19	capacity	capacity	NOUN
easat-10138	313	20	.	.	PUNCT
easat-10138	314	1	the	the	DET
easat-10138	314	2	algorithm	algorithm	NOUN
easat-10138	314	3	misclassified	misclassifie	VERB
easat-10138	314	4	12	12	NUM
easat-10138	314	5	instances	instance	NOUN
easat-10138	314	6	as	as	ADP
easat-10138	314	7	non	non	ADJ
easat-10138	314	8	-	-	NOUN
easat-10138	314	9	cancer	cancer	ADJ
easat-10138	314	10	and	and	CCONJ
easat-10138	314	11	15	15	NUM
easat-10138	314	12	cases	case	NOUN
easat-10138	314	13	as	as	ADP
easat-10138	314	14	cancer	cancer	NOUN
easat-10138	314	15	in	in	ADP
easat-10138	314	16	the	the	DET
easat-10138	314	17	test	test	NOUN
easat-10138	314	18	data	datum	NOUN
easat-10138	314	19	.	.	PUNCT
easat-10138	315	1	the	the	DET
easat-10138	315	2	test	test	NOUN
easat-10138	315	3	data	datum	NOUN
easat-10138	315	4	results	result	NOUN
easat-10138	315	5	demonstrate	demonstrate	VERB
easat-10138	315	6	superior	superior	ADJ
easat-10138	315	7	outcomes	outcome	NOUN
easat-10138	315	8	compared	compare	VERB
easat-10138	315	9	to	to	ADP
easat-10138	315	10	the	the	DET
easat-10138	315	11	training	training	NOUN
easat-10138	315	12	data	datum	NOUN
easat-10138	315	13	(	(	PUNCT
easat-10138	315	14	see	see	VERB
easat-10138	315	15	figures	figure	NOUN
easat-10138	315	16	3(a	3(a	NUM
easat-10138	315	17	)	)	PUNCT
easat-10138	315	18	and	and	CCONJ
easat-10138	315	19	3	3	NUM
easat-10138	315	20	(	(	PUNCT
easat-10138	315	21	b	b	NOUN
easat-10138	315	22	)	)	PUNCT
easat-10138	315	23	for	for	ADP
easat-10138	315	24	illustrations	illustration	NOUN
easat-10138	315	25	)	)	PUNCT
easat-10138	315	26	.	.	PUNCT
easat-10138	316	1	1409	1409	NUM
easat-10138	316	2	edelweiss	edelweiss	PROPN
easat-10138	316	3	applied	apply	VERB
easat-10138	316	4	science	science	NOUN
easat-10138	316	5	and	and	CCONJ
easat-10138	316	6	technology	technology	NOUN
easat-10138	316	7	issn	issn	PROPN
easat-10138	316	8	:	:	PUNCT
easat-10138	316	9	2576	2576	NUM
easat-10138	316	10	-	-	SYM
easat-10138	316	11	8484	8484	NUM
easat-10138	316	12	vol	vol	NOUN
easat-10138	316	13	.	.	PROPN
easat-10138	317	1	9	9	NUM
easat-10138	317	2	,	,	PUNCT
easat-10138	317	3	no	no	INTJ
easat-10138	317	4	.	.	NOUN
easat-10138	317	5	9	9	NUM
easat-10138	317	6	:	:	SYM
easat-10138	317	7	1398	1398	NUM
easat-10138	317	8	-	-	SYM
easat-10138	317	9	1415	1415	NUM
easat-10138	317	10	,	,	PUNCT
easat-10138	317	11	2025	2025	NUM
easat-10138	317	12	doi	doi	NOUN
easat-10138	317	13	:	:	PUNCT
easat-10138	317	14	10.55214/2576	10.55214/2576	NUM
easat-10138	317	15	-	-	PUNCT
easat-10138	317	16	8484.v9i9.10138	8484.v9i9.10138	NOUN
easat-10138	318	1	©	©	PROPN
easat-10138	318	2	2025	2025	NUM
easat-10138	318	3	by	by	ADP
easat-10138	318	4	the	the	DET
easat-10138	318	5	authors	author	NOUN
easat-10138	318	6	;	;	PUNCT
easat-10138	318	7	licensee	licensee	PROPN
easat-10138	318	8	learning	learning	NOUN
easat-10138	318	9	gate	gate	NOUN
easat-10138	318	10	(	(	PUNCT
easat-10138	318	11	a	a	NOUN
easat-10138	318	12	)	)	PUNCT
easat-10138	318	13	(	(	PUNCT
easat-10138	318	14	b	b	X
easat-10138	318	15	)	)	PUNCT
easat-10138	318	16	(	(	PUNCT
easat-10138	318	17	c	c	X
easat-10138	318	18	)	)	PUNCT
easat-10138	318	19	(	(	PUNCT
easat-10138	318	20	d	d	X
easat-10138	318	21	)	)	PUNCT
easat-10138	318	22	figure	figure	NOUN
easat-10138	318	23	4	4	NUM
easat-10138	318	24	.	.	PUNCT
easat-10138	319	1	(	(	PUNCT
easat-10138	319	2	a	a	X
easat-10138	319	3	)	)	PUNCT
easat-10138	319	4	demonstrates	demonstrate	VERB
easat-10138	319	5	training	training	NOUN
easat-10138	319	6	accuracy	accuracy	NOUN
easat-10138	319	7	across	across	ADP
easat-10138	319	8	the	the	DET
easat-10138	319	9	epochs	epoch	NOUN
easat-10138	319	10	;	;	PUNCT
easat-10138	319	11	(	(	PUNCT
easat-10138	319	12	b	b	X
easat-10138	319	13	)	)	PUNCT
easat-10138	319	14	illustrates	illustrate	VERB
easat-10138	319	15	the	the	DET
easat-10138	319	16	training	training	NOUN
easat-10138	319	17	loss	loss	NOUN
easat-10138	319	18	across	across	ADP
easat-10138	319	19	the	the	DET
easat-10138	319	20	epochs	epoch	NOUN
easat-10138	319	21	;	;	PUNCT
easat-10138	319	22	(	(	PUNCT
easat-10138	319	23	c	c	X
easat-10138	319	24	)	)	PUNCT
easat-10138	319	25	depicts	depict	VERB
easat-10138	319	26	the	the	DET
easat-10138	319	27	model	model	NOUN
easat-10138	319	28	's	's	PART
easat-10138	319	29	test	test	NOUN
easat-10138	319	30	accuracy	accuracy	NOUN
easat-10138	319	31	;	;	PUNCT
easat-10138	319	32	figure	figure	NOUN
easat-10138	319	33	4	4	NUM
easat-10138	319	34	(	(	PUNCT
easat-10138	319	35	d	d	NOUN
easat-10138	319	36	)	)	PUNCT
easat-10138	319	37	illustrates	illustrate	VERB
easat-10138	319	38	the	the	DET
easat-10138	319	39	test	test	NOUN
easat-10138	319	40	loss	loss	NOUN
easat-10138	319	41	,	,	PUNCT
easat-10138	319	42	commencing	commence	VERB
easat-10138	319	43	at	at	ADP
easat-10138	319	44	0.1	0.1	NUM
easat-10138	319	45	and	and	CCONJ
easat-10138	319	46	diminishing	diminish	VERB
easat-10138	319	47	to	to	ADP
easat-10138	319	48	approximately	approximately	ADV
easat-10138	319	49	0.05	0.05	NUM
easat-10138	319	50	.	.	PUNCT
easat-10138	320	1	this	this	DET
easat-10138	320	2	experiment	experiment	NOUN
easat-10138	320	3	presents	present	VERB
easat-10138	320	4	four	four	NUM
easat-10138	320	5	charts	chart	NOUN
easat-10138	320	6	,	,	PUNCT
easat-10138	320	7	designated	designate	VERB
easat-10138	320	8	as	as	ADP
easat-10138	320	9	figures	figure	NOUN
easat-10138	320	10	4(a	4(a	NUM
easat-10138	320	11	)	)	PUNCT
easat-10138	320	12	,	,	PUNCT
easat-10138	320	13	(	(	PUNCT
easat-10138	320	14	b	b	NOUN
easat-10138	320	15	)	)	PUNCT
easat-10138	320	16	,	,	PUNCT
easat-10138	320	17	(	(	PUNCT
easat-10138	320	18	c	c	NOUN
easat-10138	320	19	)	)	PUNCT
easat-10138	320	20	,	,	PUNCT
easat-10138	320	21	and	and	CCONJ
easat-10138	320	22	(	(	PUNCT
easat-10138	320	23	d	d	NOUN
easat-10138	320	24	)	)	PUNCT
easat-10138	320	25	,	,	PUNCT
easat-10138	320	26	illustrating	illustrate	VERB
easat-10138	320	27	the	the	DET
easat-10138	320	28	performance	performance	NOUN
easat-10138	320	29	assessment	assessment	NOUN
easat-10138	320	30	of	of	ADP
easat-10138	320	31	the	the	DET
easat-10138	320	32	proposed	propose	VERB
easat-10138	320	33	model	model	NOUN
easat-10138	320	34	throughout	throughout	ADP
easat-10138	320	35	training	training	NOUN
easat-10138	320	36	,	,	PUNCT
easat-10138	320	37	testing	testing	NOUN
easat-10138	320	38	,	,	PUNCT
easat-10138	320	39	and	and	CCONJ
easat-10138	320	40	validation	validation	NOUN
easat-10138	320	41	over	over	ADP
easat-10138	320	42	15	15	NUM
easat-10138	320	43	epochs	epoch	NOUN
easat-10138	320	44	.	.	PUNCT
easat-10138	321	1	figure	figure	NOUN
easat-10138	321	2	4(a	4(a	NUM
easat-10138	321	3	)	)	PUNCT
easat-10138	321	4	demonstrates	demonstrate	VERB
easat-10138	321	5	the	the	DET
easat-10138	321	6	training	training	NOUN
easat-10138	321	7	accuracy	accuracy	NOUN
easat-10138	321	8	over	over	ADP
easat-10138	321	9	the	the	DET
easat-10138	321	10	epochs	epoch	NOUN
easat-10138	321	11	.	.	PUNCT
easat-10138	322	1	the	the	DET
easat-10138	322	2	accuracy	accuracy	NOUN
easat-10138	322	3	commences	commence	VERB
easat-10138	322	4	at	at	ADP
easat-10138	322	5	96	96	NUM
easat-10138	322	6	%	%	NOUN
easat-10138	322	7	and	and	CCONJ
easat-10138	322	8	progressively	progressively	ADV
easat-10138	322	9	enhances	enhance	VERB
easat-10138	322	10	to	to	ADP
easat-10138	322	11	approximately	approximately	ADV
easat-10138	322	12	98	98	NUM
easat-10138	322	13	%	%	NOUN
easat-10138	322	14	.	.	PUNCT
easat-10138	323	1	this	this	PRON
easat-10138	323	2	indicates	indicate	VERB
easat-10138	323	3	that	that	SCONJ
easat-10138	323	4	the	the	DET
easat-10138	323	5	model	model	NOUN
easat-10138	323	6	improves	improve	VERB
easat-10138	323	7	its	its	PRON
easat-10138	323	8	data	data	NOUN
easat-10138	323	9	classification	classification	NOUN
easat-10138	323	10	capabilities	capability	NOUN
easat-10138	323	11	as	as	ADP
easat-10138	323	12	training	training	NOUN
easat-10138	323	13	advances	advance	NOUN
easat-10138	323	14	.	.	PUNCT
easat-10138	324	1	the	the	DET
easat-10138	324	2	blue	blue	ADJ
easat-10138	324	3	hue	hue	NOUN
easat-10138	324	4	signifies	signify	VERB
easat-10138	324	5	the	the	DET
easat-10138	324	6	training	training	NOUN
easat-10138	324	7	accuracy	accuracy	NOUN
easat-10138	324	8	trajectory	trajectory	NOUN
easat-10138	324	9	.	.	PUNCT
easat-10138	325	1	figure	figure	NOUN
easat-10138	325	2	4(b	4(b	NUM
easat-10138	325	3	)	)	PUNCT
easat-10138	325	4	illustrates	illustrate	VERB
easat-10138	325	5	the	the	DET
easat-10138	325	6	training	training	NOUN
easat-10138	325	7	loss	loss	NOUN
easat-10138	325	8	across	across	ADP
easat-10138	325	9	epochs	epoch	NOUN
easat-10138	325	10	.	.	PUNCT
easat-10138	326	1	the	the	DET
easat-10138	326	2	loss	loss	NOUN
easat-10138	326	3	commences	commence	VERB
easat-10138	326	4	at	at	ADP
easat-10138	326	5	approximately	approximately	ADV
easat-10138	326	6	0.4	0.4	NUM
easat-10138	326	7	and	and	CCONJ
easat-10138	326	8	progressively	progressively	ADV
easat-10138	326	9	diminishes	diminish	VERB
easat-10138	326	10	to	to	ADP
easat-10138	326	11	roughly	roughly	ADV
easat-10138	326	12	0.1	0.1	NUM
easat-10138	326	13	.	.	PUNCT
easat-10138	327	1	a	a	DET
easat-10138	327	2	loss	loss	NOUN
easat-10138	327	3	reduction	reduction	NOUN
easat-10138	327	4	signifies	signifie	NOUN
easat-10138	327	5	that	that	SCONJ
easat-10138	327	6	the	the	DET
easat-10138	327	7	model	model	NOUN
easat-10138	327	8	enhances	enhance	VERB
easat-10138	327	9	predictive	predictive	ADJ
easat-10138	327	10	accuracy	accuracy	NOUN
easat-10138	327	11	,	,	PUNCT
easat-10138	327	12	as	as	SCONJ
easat-10138	327	13	diminished	diminish	VERB
easat-10138	327	14	loss	loss	NOUN
easat-10138	327	15	reflects	reflect	VERB
easat-10138	327	16	superior	superior	ADJ
easat-10138	327	17	performance	performance	NOUN
easat-10138	327	18	.	.	PUNCT
easat-10138	328	1	the	the	DET
easat-10138	328	2	orange	orange	PROPN
easat-10138	328	3	hue	hue	NOUN
easat-10138	328	4	signifies	signify	VERB
easat-10138	328	5	the	the	DET
easat-10138	328	6	training	training	NOUN
easat-10138	328	7	loss	loss	NOUN
easat-10138	328	8	trajectory	trajectory	NOUN
easat-10138	328	9	.	.	PUNCT
easat-10138	329	1	figure	figure	NOUN
easat-10138	329	2	4	4	NUM
easat-10138	329	3	(	(	PUNCT
easat-10138	329	4	c	c	NOUN
easat-10138	329	5	)	)	PUNCT
easat-10138	329	6	depicts	depict	VERB
easat-10138	329	7	the	the	DET
easat-10138	329	8	model	model	NOUN
easat-10138	329	9	's	's	PART
easat-10138	329	10	test	test	NOUN
easat-10138	329	11	accuracy	accuracy	NOUN
easat-10138	329	12	.	.	PUNCT
easat-10138	330	1	the	the	DET
easat-10138	330	2	test	test	NOUN
easat-10138	330	3	accuracy	accuracy	NOUN
easat-10138	330	4	commences	commence	VERB
easat-10138	330	5	around	around	ADP
easat-10138	330	6	99	99	NUM
easat-10138	330	7	%	%	NOUN
easat-10138	330	8	and	and	CCONJ
easat-10138	330	9	experiences	experience	VERB
easat-10138	330	10	a	a	DET
easat-10138	330	11	marginal	marginal	ADJ
easat-10138	330	12	improvement	improvement	NOUN
easat-10138	330	13	,	,	PUNCT
easat-10138	330	14	culminating	culminate	VERB
easat-10138	330	15	at	at	ADP
easat-10138	330	16	approximately	approximately	ADV
easat-10138	330	17	99.5	99.5	NUM
easat-10138	330	18	%	%	NOUN
easat-10138	330	19	.	.	PUNCT
easat-10138	331	1	this	this	PRON
easat-10138	331	2	indicates	indicate	VERB
easat-10138	331	3	that	that	SCONJ
easat-10138	331	4	the	the	DET
easat-10138	331	5	1410	1410	NUM
easat-10138	331	6	edelweiss	edelweiss	PROPN
easat-10138	331	7	applied	apply	VERB
easat-10138	331	8	science	science	NOUN
easat-10138	331	9	and	and	CCONJ
easat-10138	331	10	technology	technology	NOUN
easat-10138	331	11	issn	issn	PROPN
easat-10138	331	12	:	:	PUNCT
easat-10138	331	13	2576	2576	NUM
easat-10138	331	14	-	-	SYM
easat-10138	331	15	8484	8484	NUM
easat-10138	331	16	vol	vol	NOUN
easat-10138	331	17	.	.	PROPN
easat-10138	332	1	9	9	NUM
easat-10138	332	2	,	,	PUNCT
easat-10138	332	3	no	no	INTJ
easat-10138	332	4	.	.	NOUN
easat-10138	332	5	9	9	NUM
easat-10138	332	6	:	:	SYM
easat-10138	332	7	1398	1398	NUM
easat-10138	332	8	-	-	SYM
easat-10138	332	9	1415	1415	NUM
easat-10138	332	10	,	,	PUNCT
easat-10138	332	11	2025	2025	NUM
easat-10138	332	12	doi	doi	NOUN
easat-10138	332	13	:	:	PUNCT
easat-10138	332	14	10.55214/2576	10.55214/2576	NUM
easat-10138	332	15	-	-	PUNCT
easat-10138	332	16	8484.v9i9.10138	8484.v9i9.10138	NOUN
easat-10138	333	1	©	©	PROPN
easat-10138	333	2	2025	2025	NUM
easat-10138	333	3	by	by	ADP
easat-10138	333	4	the	the	DET
easat-10138	333	5	authors	author	NOUN
easat-10138	333	6	;	;	PUNCT
easat-10138	333	7	licensee	licensee	PROPN
easat-10138	333	8	learning	learning	PROPN
easat-10138	333	9	gate	gate	PROPN
easat-10138	333	10	model	model	PROPN
easat-10138	333	11	exhibits	exhibit	VERB
easat-10138	333	12	exceptional	exceptional	ADJ
easat-10138	333	13	proficiency	proficiency	NOUN
easat-10138	333	14	with	with	ADP
easat-10138	333	15	both	both	CCONJ
easat-10138	333	16	the	the	DET
easat-10138	333	17	training	training	NOUN
easat-10138	333	18	dataset	dataset	NOUN
easat-10138	333	19	and	and	CCONJ
easat-10138	333	20	novel	novel	NOUN
easat-10138	333	21	,	,	PUNCT
easat-10138	333	22	unobserved	unobserved	ADJ
easat-10138	333	23	test	test	NOUN
easat-10138	333	24	data	datum	NOUN
easat-10138	333	25	.	.	PUNCT
easat-10138	334	1	the	the	DET
easat-10138	334	2	blue	blue	ADJ
easat-10138	334	3	hue	hue	NOUN
easat-10138	334	4	is	be	AUX
easat-10138	334	5	utilized	utilize	VERB
easat-10138	334	6	for	for	ADP
easat-10138	334	7	the	the	DET
easat-10138	334	8	test	test	NOUN
easat-10138	334	9	accuracy	accuracy	NOUN
easat-10138	334	10	curve	curve	NOUN
easat-10138	334	11	.	.	PUNCT
easat-10138	335	1	figure	figure	NOUN
easat-10138	335	2	4(d	4(d	NUM
easat-10138	335	3	)	)	PUNCT
easat-10138	335	4	illustrates	illustrate	VERB
easat-10138	335	5	the	the	DET
easat-10138	335	6	test	test	NOUN
easat-10138	335	7	loss	loss	NOUN
easat-10138	335	8	,	,	PUNCT
easat-10138	335	9	which	which	PRON
easat-10138	335	10	commences	commence	VERB
easat-10138	335	11	at	at	ADP
easat-10138	335	12	0.1	0.1	NUM
easat-10138	335	13	and	and	CCONJ
easat-10138	335	14	decreases	decrease	VERB
easat-10138	335	15	to	to	ADP
easat-10138	335	16	approximately	approximately	ADV
easat-10138	335	17	0.05	0.05	NUM
easat-10138	335	18	.	.	PUNCT
easat-10138	336	1	a	a	DET
easat-10138	336	2	low	low	ADJ
easat-10138	336	3	-	-	PUNCT
easat-10138	336	4	test	test	NOUN
easat-10138	336	5	loss	loss	NOUN
easat-10138	336	6	indicates	indicate	VERB
easat-10138	336	7	that	that	SCONJ
easat-10138	336	8	the	the	DET
easat-10138	336	9	model	model	NOUN
easat-10138	336	10	accurately	accurately	ADV
easat-10138	336	11	predicts	predict	VERB
easat-10138	336	12	the	the	DET
easat-10138	336	13	test	test	NOUN
easat-10138	336	14	data	datum	NOUN
easat-10138	336	15	with	with	ADP
easat-10138	336	16	minimal	minimal	ADJ
easat-10138	336	17	error	error	NOUN
easat-10138	336	18	,	,	PUNCT
easat-10138	336	19	demonstrating	demonstrate	VERB
easat-10138	336	20	its	its	PRON
easat-10138	336	21	strong	strong	ADJ
easat-10138	336	22	generalization	generalization	NOUN
easat-10138	336	23	capability	capability	NOUN
easat-10138	336	24	.	.	PUNCT
easat-10138	337	1	the	the	DET
easat-10138	337	2	test	test	NOUN
easat-10138	337	3	loss	loss	NOUN
easat-10138	337	4	curve	curve	NOUN
easat-10138	337	5	is	be	AUX
easat-10138	337	6	represented	represent	VERB
easat-10138	337	7	in	in	ADP
easat-10138	337	8	orange	orange	PROPN
easat-10138	337	9	.	.	PUNCT
easat-10138	338	1	the	the	DET
easat-10138	338	2	four	four	NUM
easat-10138	338	3	charts	chart	NOUN
easat-10138	338	4	comprehensively	comprehensively	ADV
easat-10138	338	5	analyze	analyze	VERB
easat-10138	338	6	the	the	DET
easat-10138	338	7	performance	performance	NOUN
easat-10138	338	8	of	of	ADP
easat-10138	338	9	the	the	DET
easat-10138	338	10	proposed	propose	VERB
easat-10138	338	11	resnet50	resnet50	NOUN
easat-10138	338	12	model	model	NOUN
easat-10138	338	13	during	during	ADP
easat-10138	338	14	training	training	NOUN
easat-10138	338	15	.	.	PUNCT
easat-10138	339	1	the	the	DET
easat-10138	339	2	accuracy	accuracy	NOUN
easat-10138	339	3	increases	increase	VERB
easat-10138	339	4	while	while	SCONJ
easat-10138	339	5	the	the	DET
easat-10138	339	6	loss	loss	NOUN
easat-10138	339	7	decreases	decrease	VERB
easat-10138	339	8	,	,	PUNCT
easat-10138	339	9	indicating	indicate	VERB
easat-10138	339	10	that	that	SCONJ
easat-10138	339	11	the	the	DET
easat-10138	339	12	model	model	NOUN
easat-10138	339	13	is	be	AUX
easat-10138	339	14	learning	learn	VERB
easat-10138	339	15	effectively	effectively	ADV
easat-10138	339	16	and	and	CCONJ
easat-10138	339	17	making	make	VERB
easat-10138	339	18	more	more	ADV
easat-10138	339	19	accurate	accurate	ADJ
easat-10138	339	20	predictions	prediction	NOUN
easat-10138	339	21	over	over	ADP
easat-10138	339	22	time	time	NOUN
easat-10138	339	23	.	.	PUNCT
easat-10138	340	1	figure	figure	NOUN
easat-10138	340	2	5	5	NUM
easat-10138	340	3	shows	show	VERB
easat-10138	340	4	the	the	DET
easat-10138	340	5	model	model	NOUN
easat-10138	340	6	's	's	PART
easat-10138	340	7	precision	precision	NOUN
easat-10138	340	8	score	score	NOUN
easat-10138	340	9	over	over	ADP
easat-10138	340	10	15	15	NUM
easat-10138	340	11	epochs	epoch	NOUN
easat-10138	340	12	.	.	PUNCT
easat-10138	341	1	the	the	DET
easat-10138	341	2	precision	precision	NOUN
easat-10138	341	3	score	score	NOUN
easat-10138	341	4	starts	start	VERB
easat-10138	341	5	at	at	ADP
easat-10138	341	6	96	96	NUM
easat-10138	341	7	%	%	NOUN
easat-10138	341	8	and	and	CCONJ
easat-10138	341	9	gradually	gradually	ADV
easat-10138	341	10	increases	increase	VERB
easat-10138	341	11	to	to	ADP
easat-10138	341	12	around	around	ADP
easat-10138	341	13	97	97	NUM
easat-10138	341	14	%	%	NOUN
easat-10138	341	15	.	.	PUNCT
easat-10138	342	1	precision	precision	NOUN
easat-10138	342	2	quantifies	quantifie	NOUN
easat-10138	342	3	the	the	DET
easat-10138	342	4	accuracy	accuracy	NOUN
easat-10138	342	5	of	of	ADP
easat-10138	342	6	the	the	DET
easat-10138	342	7	model	model	NOUN
easat-10138	342	8	's	's	PART
easat-10138	342	9	positive	positive	ADJ
easat-10138	342	10	predictions	prediction	NOUN
easat-10138	342	11	.	.	PUNCT
easat-10138	343	1	as	as	SCONJ
easat-10138	343	2	the	the	DET
easat-10138	343	3	epochs	epoch	NOUN
easat-10138	343	4	increase	increase	VERB
easat-10138	343	5	,	,	PUNCT
easat-10138	343	6	the	the	DET
easat-10138	343	7	model	model	NOUN
easat-10138	343	8	improves	improve	VERB
easat-10138	343	9	at	at	ADP
easat-10138	343	10	making	make	VERB
easat-10138	343	11	correct	correct	ADJ
easat-10138	343	12	positive	positive	ADJ
easat-10138	343	13	predictions	prediction	NOUN
easat-10138	343	14	,	,	PUNCT
easat-10138	343	15	which	which	PRON
easat-10138	343	16	is	be	AUX
easat-10138	343	17	reflected	reflect	VERB
easat-10138	343	18	in	in	ADP
easat-10138	343	19	the	the	DET
easat-10138	343	20	improvement	improvement	NOUN
easat-10138	343	21	of	of	ADP
easat-10138	343	22	the	the	DET
easat-10138	343	23	precision	precision	NOUN
easat-10138	343	24	score	score	NOUN
easat-10138	343	25	.	.	PUNCT
easat-10138	344	1	this	this	DET
easat-10138	344	2	chart	chart	NOUN
easat-10138	344	3	illustrates	illustrate	VERB
easat-10138	344	4	that	that	SCONJ
easat-10138	344	5	the	the	DET
easat-10138	344	6	model	model	NOUN
easat-10138	344	7	becomes	become	VERB
easat-10138	344	8	increasingly	increasingly	ADV
easat-10138	344	9	accurate	accurate	ADJ
easat-10138	344	10	in	in	ADP
easat-10138	344	11	identifying	identify	VERB
easat-10138	344	12	true	true	ADJ
easat-10138	344	13	positives	positive	NOUN
easat-10138	344	14	over	over	ADP
easat-10138	344	15	time	time	NOUN
easat-10138	344	16	.	.	PUNCT
easat-10138	345	1	figure	figure	NOUN
easat-10138	345	2	6	6	NUM
easat-10138	345	3	gives	give	VERB
easat-10138	345	4	the	the	DET
easat-10138	345	5	proposed	propose	VERB
easat-10138	345	6	resnet50	resnet50	NOUN
easat-10138	345	7	recall	recall	PROPN
easat-10138	345	8	graph	graph	NOUN
easat-10138	345	9	.	.	PUNCT
easat-10138	346	1	figure	figure	NOUN
easat-10138	346	2	5	5	NUM
easat-10138	346	3	.	.	PUNCT
easat-10138	346	4	proposed	propose	VERB
easat-10138	346	5	resnet50	resnet50	NOUN
easat-10138	346	6	precision	precision	NOUN
easat-10138	346	7	graph	graph	NOUN
easat-10138	346	8	.	.	PUNCT
easat-10138	347	1	figure	figure	NOUN
easat-10138	347	2	6	6	NUM
easat-10138	347	3	.	.	PUNCT
easat-10138	347	4	proposed	propose	VERB
easat-10138	347	5	resnet50	resnet50	PROPN
easat-10138	347	6	recall	recall	PROPN
easat-10138	347	7	chart	chart	PROPN
easat-10138	347	8	.	.	PUNCT
easat-10138	348	1	after	after	ADP
easat-10138	348	2	the	the	DET
easat-10138	348	3	experiment	experiment	NOUN
easat-10138	348	4	,	,	PUNCT
easat-10138	348	5	we	we	PRON
easat-10138	348	6	evaluated	evaluate	VERB
easat-10138	348	7	the	the	DET
easat-10138	348	8	model	model	NOUN
easat-10138	348	9	using	use	VERB
easat-10138	348	10	the	the	DET
easat-10138	348	11	recall	recall	NOUN
easat-10138	348	12	metric	metric	NOUN
easat-10138	348	13	,	,	PUNCT
easat-10138	348	14	which	which	PRON
easat-10138	348	15	measures	measure	VERB
easat-10138	348	16	the	the	DET
easat-10138	348	17	model	model	NOUN
easat-10138	348	18	's	's	PART
easat-10138	348	19	ability	ability	NOUN
easat-10138	348	20	to	to	PART
easat-10138	348	21	identify	identify	VERB
easat-10138	348	22	true	true	ADJ
easat-10138	348	23	positive	positive	ADJ
easat-10138	348	24	cases	case	NOUN
easat-10138	348	25	.	.	PUNCT
easat-10138	349	1	the	the	DET
easat-10138	349	2	recall	recall	NOUN
easat-10138	349	3	score	score	NOUN
easat-10138	349	4	began	begin	VERB
easat-10138	349	5	at	at	ADP
easat-10138	349	6	98	98	NUM
easat-10138	349	7	%	%	NOUN
easat-10138	349	8	and	and	CCONJ
easat-10138	349	9	gradually	gradually	ADV
easat-10138	349	10	increased	increase	VERB
easat-10138	349	11	to	to	ADP
easat-10138	349	12	100	100	NUM
easat-10138	349	13	%	%	NOUN
easat-10138	349	14	(	(	PUNCT
easat-10138	349	15	as	as	SCONJ
easat-10138	349	16	1411	1411	NUM
easat-10138	349	17	edelweiss	edelweiss	PROPN
easat-10138	349	18	applied	apply	VERB
easat-10138	349	19	science	science	NOUN
easat-10138	349	20	and	and	CCONJ
easat-10138	349	21	technology	technology	NOUN
easat-10138	349	22	issn	issn	PROPN
easat-10138	349	23	:	:	PUNCT
easat-10138	349	24	2576	2576	NUM
easat-10138	349	25	-	-	SYM
easat-10138	349	26	8484	8484	NUM
easat-10138	349	27	vol	vol	NOUN
easat-10138	349	28	.	.	PROPN
easat-10138	350	1	9	9	NUM
easat-10138	350	2	,	,	PUNCT
easat-10138	350	3	no	no	INTJ
easat-10138	350	4	.	.	NOUN
easat-10138	350	5	9	9	NUM
easat-10138	350	6	:	:	SYM
easat-10138	350	7	1398	1398	NUM
easat-10138	350	8	-	-	SYM
easat-10138	350	9	1415	1415	NUM
easat-10138	350	10	,	,	PUNCT
easat-10138	350	11	2025	2025	NUM
easat-10138	350	12	doi	doi	NOUN
easat-10138	350	13	:	:	PUNCT
easat-10138	350	14	10.55214/2576	10.55214/2576	NUM
easat-10138	350	15	-	-	PUNCT
easat-10138	350	16	8484.v9i9.10138	8484.v9i9.10138	NOUN
easat-10138	351	1	©	©	PROPN
easat-10138	351	2	2025	2025	NUM
easat-10138	351	3	by	by	ADP
easat-10138	351	4	the	the	DET
easat-10138	351	5	authors	author	NOUN
easat-10138	351	6	;	;	PUNCT
easat-10138	351	7	licensee	licensee	PROPN
easat-10138	351	8	learning	learn	VERB
easat-10138	351	9	gate	gate	PROPN
easat-10138	351	10	illustrated	illustrate	VERB
easat-10138	351	11	in	in	ADP
easat-10138	351	12	figure	figure	NOUN
easat-10138	351	13	6	6	NUM
easat-10138	351	14	)	)	PUNCT
easat-10138	351	15	,	,	PUNCT
easat-10138	351	16	indicating	indicate	VERB
easat-10138	351	17	that	that	SCONJ
easat-10138	351	18	the	the	DET
easat-10138	351	19	model	model	NOUN
easat-10138	351	20	enhanced	enhance	VERB
easat-10138	351	21	its	its	PRON
easat-10138	351	22	ability	ability	NOUN
easat-10138	351	23	to	to	PART
easat-10138	351	24	identify	identify	VERB
easat-10138	351	25	all	all	DET
easat-10138	351	26	true	true	ADJ
easat-10138	351	27	positives	positive	NOUN
easat-10138	351	28	as	as	SCONJ
easat-10138	351	29	training	training	NOUN
easat-10138	351	30	progressed	progress	VERB
easat-10138	351	31	.	.	PUNCT
easat-10138	352	1	this	this	DET
easat-10138	352	2	assessment	assessment	NOUN
easat-10138	352	3	confirms	confirm	VERB
easat-10138	352	4	that	that	SCONJ
easat-10138	352	5	the	the	DET
easat-10138	352	6	model	model	NOUN
easat-10138	352	7	's	's	PART
easat-10138	352	8	efficacy	efficacy	NOUN
easat-10138	352	9	in	in	ADP
easat-10138	352	10	detecting	detect	VERB
easat-10138	352	11	positive	positive	ADJ
easat-10138	352	12	cases	case	NOUN
easat-10138	352	13	has	have	AUX
easat-10138	352	14	improved	improve	VERB
easat-10138	352	15	over	over	ADP
easat-10138	352	16	time	time	NOUN
easat-10138	352	17	.	.	PUNCT
easat-10138	353	1	the	the	DET
easat-10138	353	2	graphic	graphic	NOUN
easat-10138	353	3	,	,	PUNCT
easat-10138	353	4	including	include	VERB
easat-10138	353	5	an	an	DET
easat-10138	353	6	orange	orange	ADJ
easat-10138	353	7	line	line	NOUN
easat-10138	353	8	and	and	CCONJ
easat-10138	353	9	blue	blue	ADJ
easat-10138	353	10	marks	mark	NOUN
easat-10138	353	11	,	,	PUNCT
easat-10138	353	12	visually	visually	ADV
easat-10138	353	13	illustrates	illustrate	VERB
easat-10138	353	14	this	this	DET
easat-10138	353	15	enhancement	enhancement	NOUN
easat-10138	353	16	.	.	PUNCT
easat-10138	354	1	the	the	DET
easat-10138	354	2	fine	fine	ADV
easat-10138	354	3	-	-	PUNCT
easat-10138	354	4	tuned	tune	VERB
easat-10138	354	5	resnet50	resnet50	NOUN
easat-10138	354	6	model	model	NOUN
easat-10138	354	7	performs	perform	VERB
easat-10138	354	8	exceptionally	exceptionally	ADV
easat-10138	354	9	in	in	ADP
easat-10138	354	10	classifying	classify	VERB
easat-10138	354	11	this	this	DET
easat-10138	354	12	ailment	ailment	NOUN
easat-10138	354	13	,	,	PUNCT
easat-10138	354	14	with	with	ADP
easat-10138	354	15	a	a	DET
easat-10138	354	16	recall	recall	NOUN
easat-10138	354	17	score	score	NOUN
easat-10138	354	18	of	of	ADP
easat-10138	354	19	100	100	NUM
easat-10138	354	20	%	%	NOUN
easat-10138	354	21	.	.	PUNCT
easat-10138	355	1	(	(	PUNCT
easat-10138	355	2	a	a	X
easat-10138	355	3	)	)	PUNCT
easat-10138	355	4	(	(	PUNCT
easat-10138	355	5	b	b	X
easat-10138	355	6	)	)	PUNCT
easat-10138	355	7	figure	figure	NOUN
easat-10138	355	8	7	7	NUM
easat-10138	355	9	.	.	PUNCT
easat-10138	356	1	(	(	PUNCT
easat-10138	356	2	a	a	X
easat-10138	356	3	)	)	PUNCT
easat-10138	356	4	proposed	propose	VERB
easat-10138	356	5	model	model	NOUN
easat-10138	356	6	auc	auc	NOUN
easat-10138	356	7	(	(	PUNCT
easat-10138	356	8	b	b	NOUN
easat-10138	356	9	)	)	PUNCT
easat-10138	356	10	proposed	propose	VERB
easat-10138	356	11	model	model	NOUN
easat-10138	356	12	f1	f1	PROPN
easat-10138	356	13	score	score	NOUN
easat-10138	356	14	.	.	PUNCT
easat-10138	357	1	figure	figure	NOUN
easat-10138	357	2	7	7	NUM
easat-10138	357	3	illustrates	illustrate	VERB
easat-10138	357	4	two	two	NUM
easat-10138	357	5	principal	principal	ADJ
easat-10138	357	6	evaluation	evaluation	NOUN
easat-10138	357	7	measures	measure	NOUN
easat-10138	357	8	for	for	ADP
easat-10138	357	9	the	the	DET
easat-10138	357	10	proposed	propose	VERB
easat-10138	357	11	model	model	NOUN
easat-10138	357	12	:	:	PUNCT
easat-10138	357	13	the	the	DET
easat-10138	357	14	auc	auc	NOUN
easat-10138	357	15	(	(	PUNCT
easat-10138	357	16	area	area	NOUN
easat-10138	357	17	under	under	ADP
easat-10138	357	18	the	the	DET
easat-10138	357	19	curve	curve	NOUN
easat-10138	357	20	)	)	PUNCT
easat-10138	357	21	and	and	CCONJ
easat-10138	357	22	the	the	DET
easat-10138	357	23	f1	f1	PROPN
easat-10138	357	24	score	score	NOUN
easat-10138	357	25	.	.	PUNCT
easat-10138	358	1	figure	figure	NOUN
easat-10138	358	2	7(a	7(a	NUM
easat-10138	358	3	)	)	PUNCT
easat-10138	358	4	illustrates	illustrate	VERB
easat-10138	358	5	the	the	DET
easat-10138	358	6	roc	roc	PROPN
easat-10138	358	7	curve	curve	NOUN
easat-10138	358	8	,	,	PUNCT
easat-10138	358	9	demonstrating	demonstrate	VERB
easat-10138	358	10	the	the	DET
easat-10138	358	11	model	model	NOUN
easat-10138	358	12	's	's	PART
easat-10138	358	13	proficiency	proficiency	NOUN
easat-10138	358	14	in	in	ADP
easat-10138	358	15	accurately	accurately	ADV
easat-10138	358	16	distinguishing	distinguish	VERB
easat-10138	358	17	between	between	ADP
easat-10138	358	18	cancerous	cancerous	ADJ
easat-10138	358	19	and	and	CCONJ
easat-10138	358	20	non	non	ADJ
easat-10138	358	21	-	-	ADJ
easat-10138	358	22	cancerous	cancerous	ADJ
easat-10138	358	23	cases	case	NOUN
easat-10138	358	24	,	,	PUNCT
easat-10138	358	25	with	with	ADP
easat-10138	358	26	an	an	DET
easat-10138	358	27	auc	auc	NOUN
easat-10138	358	28	of	of	ADP
easat-10138	358	29	0.95	0.95	NUM
easat-10138	358	30	,	,	PUNCT
easat-10138	358	31	signifying	signify	VERB
easat-10138	358	32	robust	robust	ADJ
easat-10138	358	33	performance	performance	NOUN
easat-10138	358	34	.	.	PUNCT
easat-10138	359	1	figure	figure	NOUN
easat-10138	359	2	7(b	7(b	NOUN
easat-10138	359	3	)	)	PUNCT
easat-10138	359	4	illustrates	illustrate	VERB
easat-10138	359	5	the	the	DET
easat-10138	359	6	f1	f1	PROPN
easat-10138	359	7	score	score	NOUN
easat-10138	359	8	,	,	PUNCT
easat-10138	359	9	which	which	PRON
easat-10138	359	10	integrates	integrate	VERB
easat-10138	359	11	precision	precision	NOUN
easat-10138	359	12	and	and	CCONJ
easat-10138	359	13	recall	recall	NOUN
easat-10138	359	14	at	at	ADP
easat-10138	359	15	96	96	NUM
easat-10138	359	16	%	%	NOUN
easat-10138	359	17	,	,	PUNCT
easat-10138	359	18	indicating	indicate	VERB
easat-10138	359	19	an	an	DET
easat-10138	359	20	effective	effective	ADJ
easat-10138	359	21	balance	balance	NOUN
easat-10138	359	22	between	between	ADP
easat-10138	359	23	recognizing	recognize	VERB
easat-10138	359	24	true	true	ADJ
easat-10138	359	25	positives	positive	NOUN
easat-10138	359	26	and	and	CCONJ
easat-10138	359	27	reducing	reduce	VERB
easat-10138	359	28	erroneous	erroneous	ADJ
easat-10138	359	29	predictions	prediction	NOUN
easat-10138	359	30	.	.	PUNCT
easat-10138	360	1	these	these	DET
easat-10138	360	2	data	datum	NOUN
easat-10138	360	3	demonstrate	demonstrate	VERB
easat-10138	360	4	that	that	SCONJ
easat-10138	360	5	the	the	DET
easat-10138	360	6	suggested	suggest	VERB
easat-10138	360	7	model	model	NOUN
easat-10138	360	8	excels	excel	NOUN
easat-10138	360	9	in	in	ADP
easat-10138	360	10	class	class	NOUN
easat-10138	360	11	differentiation	differentiation	NOUN
easat-10138	360	12	and	and	CCONJ
easat-10138	360	13	sustains	sustain	VERB
easat-10138	360	14	high	high	ADJ
easat-10138	360	15	predictive	predictive	ADJ
easat-10138	360	16	accuracy	accuracy	NOUN
easat-10138	360	17	.	.	PUNCT
easat-10138	361	1	(	(	PUNCT
easat-10138	361	2	a	a	X
easat-10138	361	3	)	)	PUNCT
easat-10138	361	4	(	(	PUNCT
easat-10138	361	5	b	b	X
easat-10138	361	6	)	)	PUNCT
easat-10138	361	7	figure	figure	NOUN
easat-10138	361	8	8	8	NUM
easat-10138	361	9	.	.	PUNCT
easat-10138	362	1	(	(	PUNCT
easat-10138	362	2	a	a	X
easat-10138	362	3	)	)	PUNCT
easat-10138	362	4	and	and	CCONJ
easat-10138	362	5	(	(	PUNCT
easat-10138	362	6	b	b	NOUN
easat-10138	362	7	):	):	PUNCT
easat-10138	362	8	proposed	propose	VERB
easat-10138	362	9	resnet50	resnet50	NOUN
easat-10138	362	10	performance	performance	NOUN
easat-10138	362	11	evaluation	evaluation	NOUN
easat-10138	362	12	comparison	comparison	NOUN
easat-10138	362	13	on	on	ADP
easat-10138	362	14	all	all	DET
easat-10138	362	15	applied	applied	ADJ
easat-10138	362	16	metrics	metric	NOUN
easat-10138	362	17	.	.	PUNCT
easat-10138	363	1	figure	figure	NOUN
easat-10138	363	2	8(a	8(a	NUM
easat-10138	363	3	)	)	PUNCT
easat-10138	363	4	displays	display	VERB
easat-10138	363	5	a	a	DET
easat-10138	363	6	bar	bar	NOUN
easat-10138	363	7	chart	chart	NOUN
easat-10138	363	8	that	that	PRON
easat-10138	363	9	compares	compare	VERB
easat-10138	363	10	the	the	DET
easat-10138	363	11	efficacy	efficacy	NOUN
easat-10138	363	12	of	of	ADP
easat-10138	363	13	the	the	DET
easat-10138	363	14	proposed	propose	VERB
easat-10138	363	15	resnet50	resnet50	NOUN
easat-10138	363	16	model	model	NOUN
easat-10138	363	17	across	across	ADP
easat-10138	363	18	five	five	NUM
easat-10138	363	19	key	key	ADJ
easat-10138	363	20	metrics	metric	NOUN
easat-10138	363	21	:	:	PUNCT
easat-10138	363	22	accuracy	accuracy	NOUN
easat-10138	363	23	,	,	PUNCT
easat-10138	363	24	precision	precision	NOUN
easat-10138	363	25	,	,	PUNCT
easat-10138	363	26	recall	recall	NOUN
easat-10138	363	27	,	,	PUNCT
easat-10138	363	28	f1	f1	NOUN
easat-10138	363	29	score	score	NOUN
easat-10138	363	30	,	,	PUNCT
easat-10138	363	31	and	and	CCONJ
easat-10138	363	32	auc	auc	NOUN
easat-10138	363	33	.	.	PUNCT
easat-10138	364	1	the	the	DET
easat-10138	364	2	height	height	NOUN
easat-10138	364	3	of	of	ADP
easat-10138	364	4	each	each	DET
easat-10138	364	5	bar	bar	NOUN
easat-10138	364	6	corresponds	correspond	VERB
easat-10138	364	7	to	to	ADP
easat-10138	364	8	the	the	DET
easat-10138	364	9	value	value	NOUN
easat-10138	364	10	of	of	ADP
easat-10138	364	11	the	the	DET
easat-10138	364	12	associated	associated	ADJ
easat-10138	364	13	statistic	statistic	NOUN
easat-10138	364	14	,	,	PUNCT
easat-10138	364	15	providing	provide	VERB
easat-10138	364	16	a	a	DET
easat-10138	364	17	clear	clear	ADJ
easat-10138	364	18	visual	visual	ADJ
easat-10138	364	19	representation	representation	NOUN
easat-10138	364	20	of	of	ADP
easat-10138	364	21	the	the	DET
easat-10138	364	22	model	model	NOUN
easat-10138	364	23	's	's	PART
easat-10138	364	24	outcomes	outcome	NOUN
easat-10138	364	25	across	across	ADP
easat-10138	364	26	categories	category	NOUN
easat-10138	364	27	.	.	PUNCT
easat-10138	365	1	the	the	DET
easat-10138	365	2	chart	chart	NOUN
easat-10138	365	3	indicates	indicate	VERB
easat-10138	365	4	that	that	SCONJ
easat-10138	365	5	the	the	DET
easat-10138	365	6	model	model	NOUN
easat-10138	365	7	attains	attain	VERB
easat-10138	365	8	an	an	DET
easat-10138	365	9	accuracy	accuracy	NOUN
easat-10138	365	10	score	score	NOUN
easat-10138	365	11	of	of	ADP
easat-10138	365	12	98	98	NUM
easat-10138	365	13	%	%	NOUN
easat-10138	365	14	,	,	PUNCT
easat-10138	365	15	a	a	DET
easat-10138	365	16	precision	precision	NOUN
easat-10138	365	17	score	score	NOUN
easat-10138	365	18	of	of	ADP
easat-10138	365	19	97	97	NUM
easat-10138	365	20	%	%	NOUN
easat-10138	365	21	,	,	PUNCT
easat-10138	365	22	and	and	CCONJ
easat-10138	365	23	an	an	DET
easat-10138	365	24	f1	f1	ADJ
easat-10138	365	25	score	score	NOUN
easat-10138	365	26	of	of	ADP
easat-10138	365	27	96	96	NUM
easat-10138	365	28	%	%	NOUN
easat-10138	365	29	.	.	PUNCT
easat-10138	366	1	the	the	DET
easat-10138	366	2	recall	recall	PROPN
easat-10138	366	3	metric	metric	NOUN
easat-10138	366	4	is	be	AUX
easat-10138	366	5	flawless	flawless	ADJ
easat-10138	366	6	at	at	ADP
easat-10138	366	7	100	100	NUM
easat-10138	366	8	%	%	NOUN
easat-10138	366	9	,	,	PUNCT
easat-10138	366	10	while	while	SCONJ
easat-10138	366	11	the	the	DET
easat-10138	366	12	auc	auc	NOUN
easat-10138	366	13	score	score	NOUN
easat-10138	366	14	is	be	AUX
easat-10138	366	15	95	95	NUM
easat-10138	366	16	%	%	NOUN
easat-10138	366	17	.	.	PUNCT
easat-10138	367	1	the	the	DET
easat-10138	367	2	1412	1412	NUM
easat-10138	367	3	edelweiss	edelweiss	PROPN
easat-10138	367	4	applied	apply	VERB
easat-10138	367	5	science	science	NOUN
easat-10138	367	6	and	and	CCONJ
easat-10138	367	7	technology	technology	NOUN
easat-10138	367	8	issn	issn	PROPN
easat-10138	367	9	:	:	PUNCT
easat-10138	367	10	2576	2576	NUM
easat-10138	367	11	-	-	SYM
easat-10138	367	12	8484	8484	NUM
easat-10138	367	13	vol	vol	NOUN
easat-10138	367	14	.	.	PROPN
easat-10138	368	1	9	9	NUM
easat-10138	368	2	,	,	PUNCT
easat-10138	368	3	no	no	INTJ
easat-10138	368	4	.	.	NOUN
easat-10138	368	5	9	9	NUM
easat-10138	368	6	:	:	SYM
easat-10138	368	7	1398	1398	NUM
easat-10138	368	8	-	-	SYM
easat-10138	368	9	1415	1415	NUM
easat-10138	368	10	,	,	PUNCT
easat-10138	368	11	2025	2025	NUM
easat-10138	368	12	doi	doi	NOUN
easat-10138	368	13	:	:	PUNCT
easat-10138	368	14	10.55214/2576	10.55214/2576	NUM
easat-10138	368	15	-	-	PUNCT
easat-10138	368	16	8484.v9i9.10138	8484.v9i9.10138	NOUN
easat-10138	369	1	©	©	PROPN
easat-10138	369	2	2025	2025	NUM
easat-10138	369	3	by	by	ADP
easat-10138	369	4	the	the	DET
easat-10138	369	5	authors	author	NOUN
easat-10138	369	6	;	;	PUNCT
easat-10138	369	7	licensee	licensee	PROPN
easat-10138	369	8	learning	learn	VERB
easat-10138	369	9	gate	gate	NOUN
easat-10138	369	10	bars	bar	NOUN
easat-10138	369	11	are	be	AUX
easat-10138	369	12	color	color	NOUN
easat-10138	369	13	-	-	PUNCT
easat-10138	369	14	coded	code	VERB
easat-10138	369	15	with	with	ADP
easat-10138	369	16	alternating	alternate	VERB
easat-10138	369	17	shades	shade	NOUN
easat-10138	369	18	of	of	ADP
easat-10138	369	19	dark	dark	ADJ
easat-10138	369	20	blue	blue	NOUN
easat-10138	369	21	and	and	CCONJ
easat-10138	369	22	orange	orange	NOUN
easat-10138	369	23	to	to	PART
easat-10138	369	24	improve	improve	VERB
easat-10138	369	25	visual	visual	ADJ
easat-10138	369	26	clarity	clarity	NOUN
easat-10138	369	27	.	.	PUNCT
easat-10138	370	1	this	this	DET
easat-10138	370	2	image	image	NOUN
easat-10138	370	3	enables	enable	VERB
easat-10138	370	4	straightforward	straightforward	ADJ
easat-10138	370	5	comparison	comparison	NOUN
easat-10138	370	6	and	and	CCONJ
easat-10138	370	7	highlights	highlight	NOUN
easat-10138	370	8	the	the	DET
easat-10138	370	9	model	model	NOUN
easat-10138	370	10	's	's	PART
easat-10138	370	11	robust	robust	ADJ
easat-10138	370	12	performance	performance	NOUN
easat-10138	370	13	across	across	ADP
easat-10138	370	14	several	several	ADJ
easat-10138	370	15	domains	domain	NOUN
easat-10138	370	16	.	.	PUNCT
easat-10138	371	1	figure	figure	NOUN
easat-10138	371	2	8(b	8(b	NUM
easat-10138	371	3	)	)	PUNCT
easat-10138	371	4	presents	present	VERB
easat-10138	371	5	a	a	DET
easat-10138	371	6	comparative	comparative	ADJ
easat-10138	371	7	performance	performance	NOUN
easat-10138	371	8	evaluation	evaluation	NOUN
easat-10138	371	9	using	use	VERB
easat-10138	371	10	a	a	DET
easat-10138	371	11	pie	pie	NOUN
easat-10138	371	12	chart	chart	NOUN
easat-10138	371	13	for	for	ADP
easat-10138	371	14	the	the	DET
easat-10138	371	15	same	same	ADJ
easat-10138	371	16	five	five	NUM
easat-10138	371	17	measures	measure	NOUN
easat-10138	371	18	.	.	PUNCT
easat-10138	372	1	each	each	DET
easat-10138	372	2	pie	pie	NOUN
easat-10138	372	3	segment	segment	NOUN
easat-10138	372	4	represents	represent	VERB
easat-10138	372	5	a	a	DET
easat-10138	372	6	specific	specific	ADJ
easat-10138	372	7	measure	measure	NOUN
easat-10138	372	8	,	,	PUNCT
easat-10138	372	9	with	with	SCONJ
easat-10138	372	10	the	the	DET
easat-10138	372	11	percentage	percentage	NOUN
easat-10138	372	12	values	value	NOUN
easat-10138	372	13	indicated	indicate	VERB
easat-10138	372	14	within	within	ADP
easat-10138	372	15	each	each	DET
easat-10138	372	16	slice	slice	NOUN
easat-10138	372	17	.	.	PUNCT
easat-10138	373	1	the	the	DET
easat-10138	373	2	chart	chart	NOUN
easat-10138	373	3	presents	present	VERB
easat-10138	373	4	an	an	DET
easat-10138	373	5	alternative	alternative	ADJ
easat-10138	373	6	perspective	perspective	NOUN
easat-10138	373	7	,	,	PUNCT
easat-10138	373	8	emphasizing	emphasize	VERB
easat-10138	373	9	the	the	DET
easat-10138	373	10	relative	relative	ADJ
easat-10138	373	11	impact	impact	NOUN
easat-10138	373	12	of	of	ADP
easat-10138	373	13	each	each	DET
easat-10138	373	14	statistic	statistic	NOUN
easat-10138	373	15	on	on	ADP
easat-10138	373	16	total	total	ADJ
easat-10138	373	17	success	success	NOUN
easat-10138	373	18	.	.	PUNCT
easat-10138	374	1	the	the	DET
easat-10138	374	2	recall	recall	PROPN
easat-10138	374	3	metric	metric	PROPN
easat-10138	374	4	achieves	achieve	VERB
easat-10138	374	5	its	its	PRON
easat-10138	374	6	highest	high	ADJ
easat-10138	374	7	value	value	NOUN
easat-10138	374	8	at	at	ADP
easat-10138	374	9	100	100	NUM
easat-10138	374	10	%	%	NOUN
easat-10138	374	11	,	,	PUNCT
easat-10138	374	12	followed	follow	VERB
easat-10138	374	13	by	by	ADP
easat-10138	374	14	accuracy	accuracy	NOUN
easat-10138	374	15	at	at	ADP
easat-10138	374	16	98	98	NUM
easat-10138	374	17	%	%	NOUN
easat-10138	374	18	,	,	PUNCT
easat-10138	374	19	precision	precision	NOUN
easat-10138	374	20	at	at	ADP
easat-10138	374	21	97	97	NUM
easat-10138	374	22	%	%	NOUN
easat-10138	374	23	,	,	PUNCT
easat-10138	374	24	the	the	DET
easat-10138	374	25	f1	f1	PROPN
easat-10138	374	26	score	score	NOUN
easat-10138	374	27	at	at	ADP
easat-10138	374	28	96	96	NUM
easat-10138	374	29	%	%	NOUN
easat-10138	374	30	,	,	PUNCT
easat-10138	374	31	and	and	CCONJ
easat-10138	374	32	the	the	DET
easat-10138	374	33	auc	auc	NOUN
easat-10138	374	34	at	at	ADP
easat-10138	374	35	95	95	NUM
easat-10138	374	36	%	%	NOUN
easat-10138	374	37	.	.	PUNCT
easat-10138	375	1	4.1	4.1	NUM
easat-10138	375	2	.	.	PUNCT
easat-10138	375	3	discussion	discussion	NOUN
easat-10138	375	4	of	of	ADP
easat-10138	375	5	results	result	NOUN
easat-10138	375	6	this	this	DET
easat-10138	375	7	study	study	NOUN
easat-10138	375	8	focuses	focus	VERB
easat-10138	375	9	on	on	ADP
easat-10138	375	10	utilizing	utilize	VERB
easat-10138	375	11	a	a	DET
easat-10138	375	12	resnet50	resnet50	NOUN
easat-10138	375	13	model	model	NOUN
easat-10138	375	14	for	for	ADP
easat-10138	375	15	the	the	DET
easat-10138	375	16	precise	precise	ADJ
easat-10138	375	17	classification	classification	NOUN
easat-10138	375	18	of	of	ADP
easat-10138	375	19	breast	breast	NOUN
easat-10138	375	20	tumors	tumor	NOUN
easat-10138	375	21	.	.	PUNCT
easat-10138	376	1	the	the	DET
easat-10138	376	2	primary	primary	ADJ
easat-10138	376	3	objective	objective	NOUN
easat-10138	376	4	of	of	ADP
easat-10138	376	5	this	this	DET
easat-10138	376	6	project	project	NOUN
easat-10138	376	7	is	be	AUX
easat-10138	376	8	to	to	PART
easat-10138	376	9	enhance	enhance	VERB
easat-10138	376	10	the	the	DET
easat-10138	376	11	identification	identification	NOUN
easat-10138	376	12	and	and	CCONJ
easat-10138	376	13	diagnosis	diagnosis	NOUN
easat-10138	376	14	of	of	ADP
easat-10138	376	15	breast	breast	NOUN
easat-10138	376	16	tumors	tumor	NOUN
easat-10138	376	17	.	.	PUNCT
easat-10138	377	1	it	it	PRON
easat-10138	377	2	tackles	tackle	VERB
easat-10138	377	3	critical	critical	ADJ
easat-10138	377	4	issues	issue	NOUN
easat-10138	377	5	in	in	ADP
easat-10138	377	6	medical	medical	ADJ
easat-10138	377	7	imaging	imaging	NOUN
easat-10138	377	8	,	,	PUNCT
easat-10138	377	9	including	include	VERB
easat-10138	377	10	precision	precision	NOUN
easat-10138	377	11	,	,	PUNCT
easat-10138	377	12	reliability	reliability	NOUN
easat-10138	377	13	,	,	PUNCT
easat-10138	377	14	and	and	CCONJ
easat-10138	377	15	the	the	DET
easat-10138	377	16	ability	ability	NOUN
easat-10138	377	17	to	to	PART
easat-10138	377	18	detect	detect	VERB
easat-10138	377	19	cancer	cancer	NOUN
easat-10138	377	20	at	at	ADP
easat-10138	377	21	both	both	CCONJ
easat-10138	377	22	initial	initial	ADJ
easat-10138	377	23	and	and	CCONJ
easat-10138	377	24	advanced	advanced	ADJ
easat-10138	377	25	stages	stage	NOUN
easat-10138	377	26	.	.	PUNCT
easat-10138	378	1	the	the	DET
easat-10138	378	2	findings	finding	NOUN
easat-10138	378	3	in	in	ADP
easat-10138	378	4	this	this	DET
easat-10138	378	5	study	study	NOUN
easat-10138	378	6	demonstrate	demonstrate	VERB
easat-10138	378	7	that	that	SCONJ
easat-10138	378	8	the	the	DET
easat-10138	378	9	model	model	NOUN
easat-10138	378	10	achieves	achieve	VERB
easat-10138	378	11	better	well	ADJ
easat-10138	378	12	results	result	NOUN
easat-10138	378	13	,	,	PUNCT
easat-10138	378	14	showing	show	VERB
easat-10138	378	15	that	that	SCONJ
easat-10138	378	16	the	the	DET
easat-10138	378	17	study	study	NOUN
easat-10138	378	18	's	's	PART
easat-10138	378	19	objectives	objective	NOUN
easat-10138	378	20	have	have	AUX
easat-10138	378	21	been	be	AUX
easat-10138	378	22	successfully	successfully	ADV
easat-10138	378	23	achieved	achieve	VERB
easat-10138	378	24	.	.	PUNCT
easat-10138	379	1	this	this	DET
easat-10138	379	2	paper	paper	NOUN
easat-10138	379	3	's	's	PART
easat-10138	379	4	primary	primary	ADJ
easat-10138	379	5	contribution	contribution	NOUN
easat-10138	379	6	is	be	AUX
easat-10138	379	7	the	the	DET
easat-10138	379	8	development	development	NOUN
easat-10138	379	9	of	of	ADP
easat-10138	379	10	an	an	DET
easat-10138	379	11	advanced	advanced	ADJ
easat-10138	379	12	system	system	NOUN
easat-10138	379	13	capable	capable	ADJ
easat-10138	379	14	of	of	ADP
easat-10138	379	15	autonomously	autonomously	ADV
easat-10138	379	16	predicting	predict	VERB
easat-10138	379	17	the	the	DET
easat-10138	379	18	malignancy	malignancy	NOUN
easat-10138	379	19	of	of	ADP
easat-10138	379	20	breast	breast	NOUN
easat-10138	379	21	tumors	tumor	NOUN
easat-10138	379	22	through	through	ADP
easat-10138	379	23	ultrasound	ultrasound	ADJ
easat-10138	379	24	imaging	imaging	PROPN
easat-10138	379	25	.	.	PUNCT
easat-10138	380	1	ultrasound	ultrasound	PROPN
easat-10138	380	2	imaging	imaging	NOUN
easat-10138	380	3	is	be	AUX
easat-10138	380	4	frequently	frequently	ADV
easat-10138	380	5	used	use	VERB
easat-10138	380	6	in	in	ADP
easat-10138	380	7	hospitals	hospital	NOUN
easat-10138	380	8	due	due	ADP
easat-10138	380	9	to	to	ADP
easat-10138	380	10	its	its	PRON
easat-10138	380	11	non	non	ADJ
easat-10138	380	12	-	-	ADJ
easat-10138	380	13	invasive	invasive	ADJ
easat-10138	380	14	nature	nature	NOUN
easat-10138	380	15	,	,	PUNCT
easat-10138	380	16	cost	cost	NOUN
easat-10138	380	17	-	-	PUNCT
easat-10138	380	18	effectiveness	effectiveness	NOUN
easat-10138	380	19	,	,	PUNCT
easat-10138	380	20	and	and	CCONJ
easat-10138	380	21	widespread	widespread	ADJ
easat-10138	380	22	accessibility	accessibility	NOUN
easat-10138	380	23	.	.	PUNCT
easat-10138	381	1	nonetheless	nonetheless	ADV
easat-10138	381	2	,	,	PUNCT
easat-10138	381	3	manual	manual	ADJ
easat-10138	381	4	examination	examination	NOUN
easat-10138	381	5	of	of	ADP
easat-10138	381	6	these	these	DET
easat-10138	381	7	photos	photo	NOUN
easat-10138	381	8	can	can	AUX
easat-10138	381	9	be	be	AUX
easat-10138	381	10	labor	labor	NOUN
easat-10138	381	11	-	-	PUNCT
easat-10138	381	12	intensive	intensive	ADJ
easat-10138	381	13	and	and	CCONJ
easat-10138	381	14	susceptible	susceptible	ADJ
easat-10138	381	15	to	to	ADP
easat-10138	381	16	human	human	ADJ
easat-10138	381	17	mistakes	mistake	NOUN
easat-10138	381	18	.	.	PUNCT
easat-10138	382	1	this	this	DET
easat-10138	382	2	approach	approach	NOUN
easat-10138	382	3	eliminates	eliminate	VERB
easat-10138	382	4	the	the	DET
easat-10138	382	5	need	need	NOUN
easat-10138	382	6	for	for	ADP
easat-10138	382	7	human	human	ADJ
easat-10138	382	8	labor	labor	NOUN
easat-10138	382	9	by	by	ADP
easat-10138	382	10	utilizing	utilize	VERB
easat-10138	382	11	artificial	artificial	ADJ
easat-10138	382	12	intelligence	intelligence	NOUN
easat-10138	382	13	to	to	PART
easat-10138	382	14	rapidly	rapidly	ADV
easat-10138	382	15	and	and	CCONJ
easat-10138	382	16	accurately	accurately	ADV
easat-10138	382	17	evaluate	evaluate	VERB
easat-10138	382	18	images	image	NOUN
easat-10138	382	19	.	.	PUNCT
easat-10138	383	1	this	this	PRON
easat-10138	383	2	facilitates	facilitate	VERB
easat-10138	383	3	educated	educate	VERB
easat-10138	383	4	decision	decision	NOUN
easat-10138	383	5	-	-	PUNCT
easat-10138	383	6	making	making	NOUN
easat-10138	383	7	for	for	ADP
easat-10138	383	8	healthcare	healthcare	NOUN
easat-10138	383	9	providers	provider	NOUN
easat-10138	383	10	and	and	CCONJ
easat-10138	383	11	enhances	enhance	VERB
easat-10138	383	12	the	the	DET
easat-10138	383	13	whole	whole	ADJ
easat-10138	383	14	diagnostic	diagnostic	ADJ
easat-10138	383	15	process	process	NOUN
easat-10138	383	16	.	.	PUNCT
easat-10138	384	1	the	the	DET
easat-10138	384	2	second	second	ADJ
easat-10138	384	3	significant	significant	ADJ
easat-10138	384	4	contribution	contribution	NOUN
easat-10138	384	5	is	be	AUX
easat-10138	384	6	the	the	DET
easat-10138	384	7	enhanced	enhanced	ADJ
easat-10138	384	8	precision	precision	NOUN
easat-10138	384	9	and	and	CCONJ
easat-10138	384	10	resilience	resilience	NOUN
easat-10138	384	11	of	of	ADP
easat-10138	384	12	breast	breast	NOUN
easat-10138	384	13	cancer	cancer	NOUN
easat-10138	384	14	detection	detection	NOUN
easat-10138	384	15	.	.	PUNCT
easat-10138	385	1	the	the	DET
easat-10138	385	2	model	model	NOUN
easat-10138	385	3	underwent	underwent	NOUN
easat-10138	385	4	training	training	NOUN
easat-10138	385	5	and	and	CCONJ
easat-10138	385	6	testing	testing	NOUN
easat-10138	385	7	on	on	ADP
easat-10138	385	8	a	a	DET
easat-10138	385	9	refined	refined	ADJ
easat-10138	385	10	and	and	CCONJ
easat-10138	385	11	preprocessed	preprocesse	VERB
easat-10138	385	12	dataset	dataset	NOUN
easat-10138	385	13	comprising	comprise	VERB
easat-10138	385	14	1,260	1,260	NUM
easat-10138	385	15	ultrasound	ultrasound	NOUN
easat-10138	385	16	images	image	NOUN
easat-10138	385	17	.	.	PUNCT
easat-10138	386	1	the	the	DET
easat-10138	386	2	dataset	dataset	NOUN
easat-10138	386	3	comprised	comprise	VERB
easat-10138	386	4	840	840	NUM
easat-10138	386	5	malignant	malignant	ADJ
easat-10138	386	6	photos	photo	NOUN
easat-10138	386	7	and	and	CCONJ
easat-10138	386	8	420	420	NUM
easat-10138	386	9	non	non	ADJ
easat-10138	386	10	-	-	ADJ
easat-10138	386	11	cancerous	cancerous	ADJ
easat-10138	386	12	images	image	NOUN
easat-10138	386	13	,	,	PUNCT
easat-10138	386	14	ensuring	ensure	VERB
easat-10138	386	15	a	a	DET
easat-10138	386	16	balanced	balanced	ADJ
easat-10138	386	17	and	and	CCONJ
easat-10138	386	18	equitable	equitable	ADJ
easat-10138	386	19	representation	representation	NOUN
easat-10138	386	20	for	for	ADP
easat-10138	386	21	training	training	NOUN
easat-10138	386	22	.	.	PUNCT
easat-10138	387	1	upon	upon	SCONJ
easat-10138	387	2	completion	completion	NOUN
easat-10138	387	3	of	of	ADP
easat-10138	387	4	the	the	DET
easat-10138	387	5	model	model	NOUN
easat-10138	387	6	training	training	NOUN
easat-10138	387	7	,	,	PUNCT
easat-10138	387	8	a	a	DET
easat-10138	387	9	high	high	ADJ
easat-10138	387	10	accuracy	accuracy	NOUN
easat-10138	387	11	rate	rate	NOUN
easat-10138	387	12	was	be	AUX
easat-10138	387	13	attained	attain	VERB
easat-10138	387	14	.	.	PUNCT
easat-10138	388	1	the	the	DET
easat-10138	388	2	training	training	NOUN
easat-10138	388	3	accuracy	accuracy	NOUN
easat-10138	388	4	was	be	AUX
easat-10138	388	5	96	96	NUM
easat-10138	388	6	%	%	NOUN
easat-10138	388	7	,	,	PUNCT
easat-10138	388	8	while	while	SCONJ
easat-10138	388	9	the	the	DET
easat-10138	388	10	testing	testing	NOUN
easat-10138	388	11	accuracy	accuracy	NOUN
easat-10138	388	12	was	be	AUX
easat-10138	388	13	98	98	NUM
easat-10138	388	14	%	%	NOUN
easat-10138	388	15	,	,	PUNCT
easat-10138	388	16	indicating	indicate	VERB
easat-10138	388	17	that	that	SCONJ
easat-10138	388	18	the	the	DET
easat-10138	388	19	model	model	NOUN
easat-10138	388	20	effectively	effectively	ADV
easat-10138	388	21	learned	learn	VERB
easat-10138	388	22	from	from	ADP
easat-10138	388	23	the	the	DET
easat-10138	388	24	training	training	NOUN
easat-10138	388	25	data	datum	NOUN
easat-10138	388	26	and	and	CCONJ
easat-10138	388	27	accurately	accurately	ADV
easat-10138	388	28	predicted	predict	VERB
easat-10138	388	29	new	new	ADJ
easat-10138	388	30	,	,	PUNCT
easat-10138	388	31	unseen	unseen	ADJ
easat-10138	388	32	data	datum	NOUN
easat-10138	388	33	.	.	PUNCT
easat-10138	389	1	this	this	DET
easat-10138	389	2	exceptional	exceptional	ADJ
easat-10138	389	3	precision	precision	NOUN
easat-10138	389	4	demonstrates	demonstrate	VERB
easat-10138	389	5	that	that	SCONJ
easat-10138	389	6	the	the	DET
easat-10138	389	7	model	model	NOUN
easat-10138	389	8	is	be	AUX
easat-10138	389	9	dependable	dependable	ADJ
easat-10138	389	10	and	and	CCONJ
easat-10138	389	11	efficient	efficient	ADJ
easat-10138	389	12	for	for	ADP
easat-10138	389	13	practical	practical	ADJ
easat-10138	389	14	application	application	NOUN
easat-10138	389	15	.	.	PUNCT
easat-10138	390	1	a	a	DET
easat-10138	390	2	notable	notable	ADJ
easat-10138	390	3	finding	finding	NOUN
easat-10138	390	4	is	be	AUX
easat-10138	390	5	the	the	DET
easat-10138	390	6	model	model	NOUN
easat-10138	390	7	's	's	PART
easat-10138	390	8	ability	ability	NOUN
easat-10138	390	9	to	to	PART
easat-10138	390	10	detect	detect	VERB
easat-10138	390	11	breast	breast	NOUN
easat-10138	390	12	cancer	cancer	NOUN
easat-10138	390	13	in	in	ADP
easat-10138	390	14	both	both	CCONJ
easat-10138	390	15	early	early	ADJ
easat-10138	390	16	and	and	CCONJ
easat-10138	390	17	advanced	advanced	ADJ
easat-10138	390	18	stages	stage	NOUN
easat-10138	390	19	,	,	PUNCT
easat-10138	390	20	which	which	PRON
easat-10138	390	21	is	be	AUX
easat-10138	390	22	crucial	crucial	ADJ
easat-10138	390	23	for	for	ADP
easat-10138	390	24	improving	improve	VERB
easat-10138	390	25	patient	patient	ADJ
easat-10138	390	26	outcomes	outcome	NOUN
easat-10138	390	27	.	.	PUNCT
easat-10138	391	1	early	early	ADJ
easat-10138	391	2	detection	detection	NOUN
easat-10138	391	3	can	can	AUX
easat-10138	391	4	preserve	preserve	VERB
easat-10138	391	5	lives	life	NOUN
easat-10138	391	6	by	by	ADP
easat-10138	391	7	facilitating	facilitate	VERB
easat-10138	391	8	prompt	prompt	ADJ
easat-10138	391	9	treatment	treatment	NOUN
easat-10138	391	10	,	,	PUNCT
easat-10138	391	11	whereas	whereas	SCONJ
easat-10138	391	12	late	late	ADJ
easat-10138	391	13	-	-	PUNCT
easat-10138	391	14	stage	stage	NOUN
easat-10138	391	15	detection	detection	NOUN
easat-10138	391	16	is	be	AUX
easat-10138	391	17	essential	essential	ADJ
easat-10138	391	18	for	for	ADP
easat-10138	391	19	monitoring	monitoring	NOUN
easat-10138	391	20	and	and	CCONJ
easat-10138	391	21	strategizing	strategize	VERB
easat-10138	391	22	appropriate	appropriate	ADJ
easat-10138	391	23	therapy	therapy	NOUN
easat-10138	391	24	.	.	PUNCT
easat-10138	392	1	the	the	DET
easat-10138	392	2	model	model	NOUN
easat-10138	392	3	achieved	achieve	VERB
easat-10138	392	4	a	a	DET
easat-10138	392	5	recall	recall	NOUN
easat-10138	392	6	score	score	NOUN
easat-10138	392	7	of	of	ADP
easat-10138	392	8	100	100	NUM
easat-10138	392	9	%	%	NOUN
easat-10138	392	10	,	,	PUNCT
easat-10138	392	11	indicating	indicate	VERB
easat-10138	392	12	its	its	PRON
easat-10138	392	13	exceptional	exceptional	ADJ
easat-10138	392	14	ability	ability	NOUN
easat-10138	392	15	to	to	PART
easat-10138	392	16	identify	identify	VERB
easat-10138	392	17	cancer	cancer	NOUN
easat-10138	392	18	cases	case	NOUN
easat-10138	392	19	.	.	PUNCT
easat-10138	393	1	this	this	PRON
easat-10138	393	2	is	be	AUX
easat-10138	393	3	crucial	crucial	ADJ
easat-10138	393	4	as	as	SCONJ
easat-10138	393	5	it	it	PRON
easat-10138	393	6	guarantees	guarantee	VERB
easat-10138	393	7	that	that	SCONJ
easat-10138	393	8	no	no	DET
easat-10138	393	9	cancer	cancer	NOUN
easat-10138	393	10	cases	case	NOUN
easat-10138	393	11	are	be	AUX
easat-10138	393	12	overlooked	overlook	VERB
easat-10138	393	13	.	.	PUNCT
easat-10138	394	1	furthermore	furthermore	ADV
easat-10138	394	2	,	,	PUNCT
easat-10138	394	3	the	the	DET
easat-10138	394	4	precision	precision	NOUN
easat-10138	394	5	score	score	NOUN
easat-10138	394	6	of	of	ADP
easat-10138	394	7	96	96	NUM
easat-10138	394	8	%	%	NOUN
easat-10138	394	9	indicates	indicate	VERB
easat-10138	394	10	that	that	SCONJ
easat-10138	394	11	the	the	DET
easat-10138	394	12	model	model	NOUN
easat-10138	394	13	effectively	effectively	ADV
easat-10138	394	14	minimizes	minimize	VERB
easat-10138	394	15	false	false	ADJ
easat-10138	394	16	positives	positive	NOUN
easat-10138	394	17	,	,	PUNCT
easat-10138	394	18	preventing	prevent	VERB
easat-10138	394	19	the	the	DET
easat-10138	394	20	erroneous	erroneous	ADJ
easat-10138	394	21	classification	classification	NOUN
easat-10138	394	22	of	of	ADP
easat-10138	394	23	healthy	healthy	ADJ
easat-10138	394	24	cases	case	NOUN
easat-10138	394	25	as	as	ADP
easat-10138	394	26	malignant	malignant	ADJ
easat-10138	394	27	.	.	PUNCT
easat-10138	395	1	these	these	DET
easat-10138	395	2	indicators	indicator	NOUN
easat-10138	395	3	demonstrate	demonstrate	VERB
easat-10138	395	4	that	that	SCONJ
easat-10138	395	5	the	the	DET
easat-10138	395	6	methodology	methodology	NOUN
easat-10138	395	7	is	be	AUX
easat-10138	395	8	precise	precise	ADJ
easat-10138	395	9	and	and	CCONJ
easat-10138	395	10	equitable	equitable	ADJ
easat-10138	395	11	in	in	ADP
easat-10138	395	12	detecting	detect	VERB
easat-10138	395	13	cancer	cancer	NOUN
easat-10138	395	14	patients	patient	NOUN
easat-10138	395	15	while	while	SCONJ
easat-10138	395	16	reducing	reduce	VERB
easat-10138	395	17	errors	error	NOUN
easat-10138	395	18	.	.	PUNCT
easat-10138	396	1	the	the	DET
easat-10138	396	2	research	research	NOUN
easat-10138	396	3	additionally	additionally	ADV
easat-10138	396	4	examined	examine	VERB
easat-10138	396	5	various	various	ADJ
easat-10138	396	6	performance	performance	NOUN
easat-10138	396	7	criteria	criterion	NOUN
easat-10138	396	8	to	to	PART
easat-10138	396	9	ascertain	ascertain	VERB
easat-10138	396	10	the	the	DET
easat-10138	396	11	model	model	NOUN
easat-10138	396	12	's	's	PART
easat-10138	396	13	reliability	reliability	NOUN
easat-10138	396	14	.	.	PUNCT
easat-10138	397	1	the	the	DET
easat-10138	397	2	f1	f1	PROPN
easat-10138	397	3	score	score	NOUN
easat-10138	397	4	,	,	PUNCT
easat-10138	397	5	integrating	integrate	VERB
easat-10138	397	6	precision	precision	NOUN
easat-10138	397	7	and	and	CCONJ
easat-10138	397	8	recall	recall	NOUN
easat-10138	397	9	,	,	PUNCT
easat-10138	397	10	was	be	AUX
easat-10138	397	11	96	96	NUM
easat-10138	397	12	%	%	NOUN
easat-10138	397	13	,	,	PUNCT
easat-10138	397	14	indicating	indicate	VERB
easat-10138	397	15	that	that	SCONJ
easat-10138	397	16	the	the	DET
easat-10138	397	17	model	model	NOUN
easat-10138	397	18	effectively	effectively	ADV
easat-10138	397	19	balances	balance	VERB
easat-10138	397	20	identifying	identify	VERB
easat-10138	397	21	real	real	ADJ
easat-10138	397	22	cancer	cancer	NOUN
easat-10138	397	23	cases	case	NOUN
easat-10138	397	24	with	with	ADP
easat-10138	397	25	minimizing	minimize	VERB
easat-10138	397	26	false	false	ADJ
easat-10138	397	27	positives	positive	NOUN
easat-10138	397	28	.	.	PUNCT
easat-10138	398	1	the	the	DET
easat-10138	398	2	roc	roc	PROPN
easat-10138	398	3	curve	curve	NOUN
easat-10138	398	4	exhibited	exhibit	VERB
easat-10138	398	5	an	an	DET
easat-10138	398	6	area	area	NOUN
easat-10138	398	7	under	under	ADP
easat-10138	398	8	the	the	DET
easat-10138	398	9	curve	curve	NOUN
easat-10138	398	10	(	(	PUNCT
easat-10138	398	11	auc	auc	NOUN
easat-10138	398	12	)	)	PUNCT
easat-10138	398	13	of	of	ADP
easat-10138	398	14	95	95	NUM
easat-10138	398	15	%	%	NOUN
easat-10138	398	16	,	,	PUNCT
easat-10138	398	17	signifying	signify	VERB
easat-10138	398	18	a	a	DET
easat-10138	398	19	robust	robust	ADJ
easat-10138	398	20	capacity	capacity	NOUN
easat-10138	398	21	to	to	PART
easat-10138	398	22	distinguish	distinguish	VERB
easat-10138	398	23	between	between	ADP
easat-10138	398	24	malignant	malignant	ADJ
easat-10138	398	25	and	and	CCONJ
easat-10138	398	26	benign	benign	ADJ
easat-10138	398	27	instances	instance	NOUN
easat-10138	398	28	.	.	PUNCT
easat-10138	399	1	these	these	DET
easat-10138	399	2	metrics	metric	NOUN
easat-10138	399	3	demonstrate	demonstrate	VERB
easat-10138	399	4	that	that	SCONJ
easat-10138	399	5	the	the	DET
easat-10138	399	6	model	model	NOUN
easat-10138	399	7	is	be	AUX
easat-10138	399	8	exceptionally	exceptionally	ADV
easat-10138	399	9	successful	successful	ADJ
easat-10138	399	10	and	and	CCONJ
easat-10138	399	11	maintains	maintain	VERB
easat-10138	399	12	constant	constant	ADJ
easat-10138	399	13	performance	performance	NOUN
easat-10138	399	14	across	across	ADP
easat-10138	399	15	many	many	ADJ
easat-10138	399	16	evaluations	evaluation	NOUN
easat-10138	399	17	.	.	PUNCT
easat-10138	400	1	the	the	DET
easat-10138	400	2	training	training	NOUN
easat-10138	400	3	and	and	CCONJ
easat-10138	400	4	validation	validation	NOUN
easat-10138	400	5	losses	loss	NOUN
easat-10138	400	6	were	be	AUX
easat-10138	400	7	examined	examine	VERB
easat-10138	400	8	and	and	CCONJ
easat-10138	400	9	consistently	consistently	ADV
easat-10138	400	10	diminished	diminish	VERB
easat-10138	400	11	throughout	throughout	ADP
easat-10138	400	12	the	the	DET
easat-10138	400	13	training	training	NOUN
easat-10138	400	14	process	process	NOUN
easat-10138	400	15	.	.	PUNCT
easat-10138	401	1	this	this	PRON
easat-10138	401	2	signifies	signify	VERB
easat-10138	401	3	that	that	SCONJ
easat-10138	401	4	the	the	DET
easat-10138	401	5	model	model	NOUN
easat-10138	401	6	was	be	AUX
easat-10138	401	7	acquiring	acquire	VERB
easat-10138	401	8	knowledge	knowledge	NOUN
easat-10138	401	9	effectively	effectively	ADV
easat-10138	401	10	without	without	ADP
easat-10138	401	11	overfitting	overfitte	VERB
easat-10138	401	12	the	the	DET
easat-10138	401	13	data	datum	NOUN
easat-10138	401	14	.	.	PUNCT
easat-10138	402	1	overfitting	overfitte	VERB
easat-10138	402	2	is	be	AUX
easat-10138	402	3	a	a	DET
easat-10138	402	4	prevalent	prevalent	ADJ
easat-10138	402	5	problem	problem	NOUN
easat-10138	402	6	in	in	ADP
easat-10138	402	7	machine	machine	NOUN
easat-10138	402	8	learning	learning	NOUN
easat-10138	402	9	,	,	PUNCT
easat-10138	402	10	characterized	characterize	VERB
easat-10138	402	11	by	by	ADP
easat-10138	402	12	a	a	DET
easat-10138	402	13	model	model	NOUN
easat-10138	402	14	that	that	PRON
easat-10138	402	15	performs	perform	VERB
easat-10138	402	16	well	well	ADV
easat-10138	402	17	on	on	ADP
easat-10138	402	18	training	training	NOUN
easat-10138	402	19	data	datum	NOUN
easat-10138	402	20	but	but	CCONJ
easat-10138	402	21	struggles	struggle	VERB
easat-10138	402	22	to	to	PART
easat-10138	402	23	generalize	generalize	VERB
easat-10138	402	24	to	to	ADP
easat-10138	402	25	unseen	unseen	ADJ
easat-10138	402	26	data	datum	NOUN
easat-10138	402	27	.	.	PUNCT
easat-10138	403	1	the	the	DET
easat-10138	403	2	few	few	ADJ
easat-10138	403	3	consistent	consistent	ADJ
easat-10138	403	4	losses	loss	NOUN
easat-10138	403	5	in	in	ADP
easat-10138	403	6	this	this	DET
easat-10138	403	7	investigation	investigation	NOUN
easat-10138	403	8	indicate	indicate	VERB
easat-10138	403	9	that	that	SCONJ
easat-10138	403	10	the	the	DET
easat-10138	403	11	model	model	NOUN
easat-10138	403	12	successfully	successfully	ADV
easat-10138	403	13	circumvented	circumvent	VERB
easat-10138	403	14	overfitting	overfitting	NOUN
easat-10138	403	15	and	and	CCONJ
easat-10138	403	16	preserved	preserve	VERB
easat-10138	403	17	its	its	PRON
easat-10138	403	18	efficacy	efficacy	NOUN
easat-10138	403	19	on	on	ADP
easat-10138	403	20	the	the	DET
easat-10138	403	21	testing	testing	NOUN
easat-10138	403	22	data	datum	NOUN
easat-10138	403	23	.	.	PUNCT
easat-10138	404	1	1413	1413	NUM
easat-10138	404	2	edelweiss	edelweiss	PROPN
easat-10138	404	3	applied	apply	VERB
easat-10138	404	4	science	science	NOUN
easat-10138	404	5	and	and	CCONJ
easat-10138	404	6	technology	technology	NOUN
easat-10138	404	7	issn	issn	PROPN
easat-10138	404	8	:	:	PUNCT
easat-10138	404	9	2576	2576	NUM
easat-10138	404	10	-	-	SYM
easat-10138	404	11	8484	8484	NUM
easat-10138	404	12	vol	vol	NOUN
easat-10138	404	13	.	.	PROPN
easat-10138	405	1	9	9	NUM
easat-10138	405	2	,	,	PUNCT
easat-10138	405	3	no	no	INTJ
easat-10138	405	4	.	.	NOUN
easat-10138	405	5	9	9	NUM
easat-10138	405	6	:	:	SYM
easat-10138	405	7	1398	1398	NUM
easat-10138	405	8	-	-	SYM
easat-10138	405	9	1415	1415	NUM
easat-10138	405	10	,	,	PUNCT
easat-10138	405	11	2025	2025	NUM
easat-10138	405	12	doi	doi	NOUN
easat-10138	405	13	:	:	PUNCT
easat-10138	405	14	10.55214/2576	10.55214/2576	NUM
easat-10138	405	15	-	-	PUNCT
easat-10138	405	16	8484.v9i9.10138	8484.v9i9.10138	NOUN
easat-10138	406	1	©	©	PROPN
easat-10138	406	2	2025	2025	NUM
easat-10138	406	3	by	by	ADP
easat-10138	406	4	the	the	DET
easat-10138	406	5	authors	author	NOUN
easat-10138	406	6	;	;	PUNCT
easat-10138	406	7	licensee	licensee	PROPN
easat-10138	406	8	learning	learning	NOUN
easat-10138	406	9	gate	gate	VERB
easat-10138	406	10	the	the	DET
easat-10138	406	11	objectives	objective	NOUN
easat-10138	406	12	of	of	ADP
easat-10138	406	13	this	this	DET
easat-10138	406	14	study	study	NOUN
easat-10138	406	15	have	have	AUX
easat-10138	406	16	been	be	AUX
easat-10138	406	17	effectively	effectively	ADV
easat-10138	406	18	accomplished	accomplish	VERB
easat-10138	406	19	through	through	ADP
easat-10138	406	20	the	the	DET
easat-10138	406	21	construction	construction	NOUN
easat-10138	406	22	and	and	CCONJ
easat-10138	406	23	assessment	assessment	NOUN
easat-10138	406	24	of	of	ADP
easat-10138	406	25	the	the	DET
easat-10138	406	26	resnet50	resnet50	NOUN
easat-10138	406	27	model	model	NOUN
easat-10138	406	28	.	.	PUNCT
easat-10138	407	1	technology	technology	NOUN
easat-10138	407	2	offers	offer	VERB
easat-10138	407	3	a	a	DET
easat-10138	407	4	rapid	rapid	ADJ
easat-10138	407	5	,	,	PUNCT
easat-10138	407	6	precise	precise	ADJ
easat-10138	407	7	,	,	PUNCT
easat-10138	407	8	and	and	CCONJ
easat-10138	407	9	dependable	dependable	ADJ
easat-10138	407	10	method	method	NOUN
easat-10138	407	11	for	for	ADP
easat-10138	407	12	classifying	classify	VERB
easat-10138	407	13	breast	breast	NOUN
easat-10138	407	14	cancer	cancer	NOUN
easat-10138	407	15	through	through	ADP
easat-10138	407	16	ultrasound	ultrasound	NOUN
easat-10138	407	17	pictures	picture	NOUN
easat-10138	407	18	,	,	PUNCT
easat-10138	407	19	enhancing	enhance	VERB
easat-10138	407	20	diagnostic	diagnostic	ADJ
easat-10138	407	21	accuracy	accuracy	NOUN
easat-10138	407	22	and	and	CCONJ
easat-10138	407	23	minimizing	minimize	VERB
easat-10138	407	24	manual	manual	ADJ
easat-10138	407	25	errors	error	NOUN
easat-10138	407	26	.	.	PUNCT
easat-10138	408	1	the	the	DET
easat-10138	408	2	elevated	elevated	ADJ
easat-10138	408	3	training	training	NOUN
easat-10138	408	4	and	and	CCONJ
easat-10138	408	5	testing	testing	NOUN
easat-10138	408	6	accuracy	accuracy	NOUN
easat-10138	408	7	,	,	PUNCT
easat-10138	408	8	along	along	ADP
easat-10138	408	9	with	with	ADP
easat-10138	408	10	robust	robust	ADJ
easat-10138	408	11	metrics	metric	NOUN
easat-10138	408	12	such	such	ADJ
easat-10138	408	13	as	as	ADP
easat-10138	408	14	recall	recall	NOUN
easat-10138	408	15	,	,	PUNCT
easat-10138	408	16	precision	precision	NOUN
easat-10138	408	17	,	,	PUNCT
easat-10138	408	18	and	and	CCONJ
easat-10138	408	19	f1	f1	PROPN
easat-10138	408	20	score	score	NOUN
easat-10138	408	21	,	,	PUNCT
easat-10138	408	22	illustrate	illustrate	VERB
easat-10138	408	23	the	the	DET
easat-10138	408	24	model	model	NOUN
easat-10138	408	25	's	's	PART
easat-10138	408	26	efficacy	efficacy	NOUN
easat-10138	408	27	in	in	ADP
easat-10138	408	28	detecting	detect	VERB
easat-10138	408	29	cancer	cancer	NOUN
easat-10138	408	30	across	across	ADP
easat-10138	408	31	all	all	DET
easat-10138	408	32	stages	stage	NOUN
easat-10138	408	33	.	.	PUNCT
easat-10138	409	1	this	this	DET
easat-10138	409	2	study	study	NOUN
easat-10138	409	3	makes	make	VERB
easat-10138	409	4	a	a	DET
easat-10138	409	5	significant	significant	ADJ
easat-10138	409	6	contribution	contribution	NOUN
easat-10138	409	7	to	to	ADP
easat-10138	409	8	medical	medical	ADJ
easat-10138	409	9	imaging	imaging	NOUN
easat-10138	409	10	and	and	CCONJ
easat-10138	409	11	breast	breast	NOUN
easat-10138	409	12	cancer	cancer	NOUN
easat-10138	409	13	diagnosis	diagnosis	NOUN
easat-10138	409	14	,	,	PUNCT
easat-10138	409	15	enabling	enable	VERB
easat-10138	409	16	physicians	physician	NOUN
easat-10138	409	17	to	to	PART
easat-10138	409	18	make	make	VERB
easat-10138	409	19	informed	informed	ADJ
easat-10138	409	20	decisions	decision	NOUN
easat-10138	409	21	and	and	CCONJ
easat-10138	409	22	improve	improve	VERB
easat-10138	409	23	patient	patient	ADJ
easat-10138	409	24	outcomes	outcome	NOUN
easat-10138	409	25	.	.	PUNCT
easat-10138	410	1	5	5	X
easat-10138	410	2	.	.	X
easat-10138	410	3	conclusions	conclusion	NOUN
easat-10138	410	4	this	this	DET
easat-10138	410	5	research	research	NOUN
easat-10138	410	6	presents	present	VERB
easat-10138	410	7	a	a	DET
easat-10138	410	8	resnet50	resnet50	NOUN
easat-10138	410	9	-	-	PUNCT
easat-10138	410	10	based	base	VERB
easat-10138	410	11	model	model	NOUN
easat-10138	410	12	for	for	ADP
easat-10138	410	13	classifying	classify	VERB
easat-10138	410	14	breast	breast	NOUN
easat-10138	410	15	cancer	cancer	NOUN
easat-10138	410	16	utilizing	utilize	VERB
easat-10138	410	17	ultrasound	ultrasound	NOUN
easat-10138	410	18	data	datum	NOUN
easat-10138	410	19	.	.	PUNCT
easat-10138	411	1	the	the	DET
easat-10138	411	2	study	study	NOUN
easat-10138	411	3	sought	seek	VERB
easat-10138	411	4	to	to	PART
easat-10138	411	5	tackle	tackle	VERB
easat-10138	411	6	significant	significant	ADJ
easat-10138	411	7	issues	issue	NOUN
easat-10138	411	8	in	in	ADP
easat-10138	411	9	medical	medical	ADJ
easat-10138	411	10	diagnostics	diagnostic	NOUN
easat-10138	411	11	,	,	PUNCT
easat-10138	411	12	including	include	VERB
easat-10138	411	13	the	the	DET
easat-10138	411	14	necessity	necessity	NOUN
easat-10138	411	15	for	for	ADP
easat-10138	411	16	precise	precise	ADJ
easat-10138	411	17	,	,	PUNCT
easat-10138	411	18	dependable	dependable	ADJ
easat-10138	411	19	,	,	PUNCT
easat-10138	411	20	and	and	CCONJ
easat-10138	411	21	efficient	efficient	ADJ
easat-10138	411	22	identification	identification	NOUN
easat-10138	411	23	of	of	ADP
easat-10138	411	24	breast	breast	NOUN
easat-10138	411	25	cancer	cancer	NOUN
easat-10138	411	26	in	in	ADP
easat-10138	411	27	both	both	CCONJ
easat-10138	411	28	early	early	ADJ
easat-10138	411	29	and	and	CCONJ
easat-10138	411	30	advanced	advanced	ADJ
easat-10138	411	31	stages	stage	NOUN
easat-10138	411	32	.	.	PUNCT
easat-10138	412	1	utilizing	utilize	VERB
easat-10138	412	2	a	a	DET
easat-10138	412	3	refined	refined	ADJ
easat-10138	412	4	and	and	CCONJ
easat-10138	412	5	preprocessed	preprocesse	VERB
easat-10138	412	6	dataset	dataset	NOUN
easat-10138	412	7	,	,	PUNCT
easat-10138	412	8	the	the	DET
easat-10138	412	9	model	model	NOUN
easat-10138	412	10	attained	attain	VERB
easat-10138	412	11	remarkable	remarkable	ADJ
easat-10138	412	12	performance	performance	NOUN
easat-10138	412	13	,	,	PUNCT
easat-10138	412	14	with	with	ADP
easat-10138	412	15	a	a	DET
easat-10138	412	16	training	training	NOUN
easat-10138	412	17	accuracy	accuracy	NOUN
easat-10138	412	18	of	of	ADP
easat-10138	412	19	96	96	NUM
easat-10138	412	20	%	%	NOUN
easat-10138	412	21	and	and	CCONJ
easat-10138	412	22	a	a	DET
easat-10138	412	23	testing	testing	NOUN
easat-10138	412	24	accuracy	accuracy	NOUN
easat-10138	412	25	of	of	ADP
easat-10138	412	26	98	98	NUM
easat-10138	412	27	%	%	NOUN
easat-10138	412	28	.	.	PUNCT
easat-10138	413	1	the	the	DET
easat-10138	413	2	model	model	NOUN
easat-10138	413	3	's	's	PART
easat-10138	413	4	recall	recall	NOUN
easat-10138	413	5	score	score	NOUN
easat-10138	413	6	of	of	ADP
easat-10138	413	7	100	100	NUM
easat-10138	413	8	%	%	NOUN
easat-10138	413	9	and	and	CCONJ
easat-10138	413	10	precision	precision	NOUN
easat-10138	413	11	score	score	NOUN
easat-10138	413	12	of	of	ADP
easat-10138	413	13	96	96	NUM
easat-10138	413	14	%	%	NOUN
easat-10138	413	15	underscore	underscore	VERB
easat-10138	413	16	its	its	PRON
easat-10138	413	17	proficiency	proficiency	NOUN
easat-10138	413	18	in	in	ADP
easat-10138	413	19	reliably	reliably	ADV
easat-10138	413	20	identifying	identify	VERB
easat-10138	413	21	cancer	cancer	NOUN
easat-10138	413	22	cases	case	NOUN
easat-10138	413	23	while	while	SCONJ
easat-10138	413	24	reducing	reduce	VERB
easat-10138	413	25	false	false	ADJ
easat-10138	413	26	positives	positive	NOUN
easat-10138	413	27	.	.	PUNCT
easat-10138	414	1	this	this	DET
easat-10138	414	2	research	research	NOUN
easat-10138	414	3	demonstrates	demonstrate	VERB
easat-10138	414	4	the	the	DET
easat-10138	414	5	potential	potential	NOUN
easat-10138	414	6	of	of	ADP
easat-10138	414	7	artificial	artificial	ADJ
easat-10138	414	8	intelligence	intelligence	NOUN
easat-10138	414	9	to	to	PART
easat-10138	414	10	transform	transform	VERB
easat-10138	414	11	medical	medical	ADJ
easat-10138	414	12	imaging	imaging	NOUN
easat-10138	414	13	and	and	CCONJ
easat-10138	414	14	diagnostics	diagnostic	NOUN
easat-10138	414	15	by	by	ADP
easat-10138	414	16	enhancing	enhance	VERB
easat-10138	414	17	accuracy	accuracy	NOUN
easat-10138	414	18	,	,	PUNCT
easat-10138	414	19	optimizing	optimize	VERB
easat-10138	414	20	workflows	workflow	NOUN
easat-10138	414	21	,	,	PUNCT
easat-10138	414	22	and	and	CCONJ
easat-10138	414	23	reducing	reduce	VERB
easat-10138	414	24	manual	manual	ADJ
easat-10138	414	25	errors	error	NOUN
easat-10138	414	26	.	.	PUNCT
easat-10138	415	1	the	the	DET
easat-10138	415	2	approach	approach	NOUN
easat-10138	415	3	established	establish	VERB
easat-10138	415	4	in	in	ADP
easat-10138	415	5	this	this	DET
easat-10138	415	6	study	study	NOUN
easat-10138	415	7	provides	provide	VERB
easat-10138	415	8	dependable	dependable	ADJ
easat-10138	415	9	classifications	classification	NOUN
easat-10138	415	10	and	and	CCONJ
easat-10138	415	11	enhances	enhance	VERB
easat-10138	415	12	early	early	ADJ
easat-10138	415	13	identification	identification	NOUN
easat-10138	415	14	,	,	PUNCT
easat-10138	415	15	which	which	PRON
easat-10138	415	16	is	be	AUX
easat-10138	415	17	crucial	crucial	ADJ
easat-10138	415	18	for	for	ADP
easat-10138	415	19	prompt	prompt	ADJ
easat-10138	415	20	interventions	intervention	NOUN
easat-10138	415	21	and	and	CCONJ
easat-10138	415	22	improved	improve	VERB
easat-10138	415	23	patient	patient	ADJ
easat-10138	415	24	outcomes	outcome	NOUN
easat-10138	415	25	.	.	PUNCT
easat-10138	416	1	this	this	DET
easat-10138	416	2	study	study	NOUN
easat-10138	416	3	dramatically	dramatically	ADV
easat-10138	416	4	advances	advance	VERB
easat-10138	416	5	the	the	DET
easat-10138	416	6	field	field	NOUN
easat-10138	416	7	of	of	ADP
easat-10138	416	8	medical	medical	ADJ
easat-10138	416	9	diagnostics	diagnostic	NOUN
easat-10138	416	10	by	by	ADP
easat-10138	416	11	demonstrating	demonstrate	VERB
easat-10138	416	12	the	the	DET
easat-10138	416	13	practical	practical	ADJ
easat-10138	416	14	application	application	NOUN
easat-10138	416	15	of	of	ADP
easat-10138	416	16	powerful	powerful	ADJ
easat-10138	416	17	machine	machine	NOUN
easat-10138	416	18	learning	learn	VERB
easat-10138	416	19	techniques	technique	NOUN
easat-10138	416	20	,	,	PUNCT
easat-10138	416	21	such	such	ADJ
easat-10138	416	22	as	as	ADP
easat-10138	416	23	resnet50	resnet50	NOUN
easat-10138	416	24	,	,	PUNCT
easat-10138	416	25	to	to	ADP
easat-10138	416	26	complex	complex	ADJ
easat-10138	416	27	problems	problem	NOUN
easat-10138	416	28	like	like	ADP
easat-10138	416	29	breast	breast	NOUN
easat-10138	416	30	cancer	cancer	NOUN
easat-10138	416	31	diagnosis	diagnosis	NOUN
easat-10138	416	32	.	.	PUNCT
easat-10138	417	1	future	future	ADJ
easat-10138	417	2	endeavors	endeavor	NOUN
easat-10138	417	3	may	may	AUX
easat-10138	417	4	focus	focus	VERB
easat-10138	417	5	on	on	ADP
easat-10138	417	6	augmenting	augment	VERB
easat-10138	417	7	the	the	DET
easat-10138	417	8	dataset	dataset	NOUN
easat-10138	417	9	,	,	PUNCT
easat-10138	417	10	evaluating	evaluate	VERB
easat-10138	417	11	the	the	DET
easat-10138	417	12	model	model	NOUN
easat-10138	417	13	using	use	VERB
easat-10138	417	14	authentic	authentic	ADJ
easat-10138	417	15	clinical	clinical	ADJ
easat-10138	417	16	data	datum	NOUN
easat-10138	417	17	,	,	PUNCT
easat-10138	417	18	and	and	CCONJ
easat-10138	417	19	exploring	explore	VERB
easat-10138	417	20	methods	method	NOUN
easat-10138	417	21	to	to	PART
easat-10138	417	22	integrate	integrate	VERB
easat-10138	417	23	this	this	DET
easat-10138	417	24	system	system	NOUN
easat-10138	417	25	into	into	ADP
easat-10138	417	26	hospital	hospital	NOUN
easat-10138	417	27	operations	operation	NOUN
easat-10138	417	28	to	to	PART
easat-10138	417	29	enhance	enhance	VERB
easat-10138	417	30	its	its	PRON
easat-10138	417	31	practical	practical	ADJ
easat-10138	417	32	utility	utility	NOUN
easat-10138	417	33	.	.	PUNCT
easat-10138	418	1	list	list	NOUN
easat-10138	418	2	of	of	ADP
easat-10138	418	3	abbreviations	abbreviation	NOUN
easat-10138	418	4	:	:	PUNCT
easat-10138	418	5	artificial	artificial	ADJ
easat-10138	418	6	intelligence	intelligence	NOUN
easat-10138	418	7	(	(	PUNCT
easat-10138	418	8	ai	ai	NOUN
easat-10138	418	9	)	)	PUNCT
easat-10138	418	10	artificial	artificial	ADJ
easat-10138	418	11	neural	neural	ADJ
easat-10138	418	12	networks	network	NOUN
easat-10138	418	13	(	(	PUNCT
easat-10138	418	14	anns	anns	NOUN
easat-10138	418	15	)	)	PUNCT
easat-10138	418	16	breast	breast	NOUN
easat-10138	418	17	cancer	cancer	NOUN
easat-10138	418	18	(	(	PUNCT
easat-10138	418	19	bc	bc	PROPN
easat-10138	418	20	)	)	PUNCT
easat-10138	418	21	centralized	centralized	ADJ
easat-10138	418	22	learning	learning	NOUN
easat-10138	418	23	(	(	PUNCT
easat-10138	418	24	cl	cl	NOUN
easat-10138	418	25	)	)	PUNCT
easat-10138	418	26	computerized	computerized	ADJ
easat-10138	418	27	tomography	tomography	NOUN
easat-10138	418	28	(	(	PUNCT
easat-10138	418	29	ct	ct	NOUN
easat-10138	418	30	)	)	PUNCT
easat-10138	418	31	convolutional	convolutional	ADJ
easat-10138	418	32	neural	neural	ADJ
easat-10138	418	33	network	network	NOUN
easat-10138	418	34	(	(	PUNCT
easat-10138	418	35	cnn	cnn	PROPN
easat-10138	418	36	)	)	PUNCT
easat-10138	418	37	deep	deep	ADJ
easat-10138	418	38	learning	learning	NOUN
easat-10138	418	39	(	(	PUNCT
easat-10138	418	40	dl	dl	NOUN
easat-10138	418	41	)	)	PUNCT
easat-10138	418	42	feature	feature	NOUN
easat-10138	418	43	extraction	extraction	NOUN
easat-10138	418	44	(	(	PUNCT
easat-10138	418	45	fe	fe	NOUN
easat-10138	418	46	)	)	PUNCT
easat-10138	418	47	federated	federated	ADJ
easat-10138	418	48	learning	learning	NOUN
easat-10138	418	49	(	(	PUNCT
easat-10138	418	50	fl	fl	NOUN
easat-10138	418	51	)	)	PUNCT
easat-10138	418	52	intraclass	intraclass	NOUN
easat-10138	418	53	correlation	correlation	NOUN
easat-10138	418	54	(	(	PUNCT
easat-10138	418	55	icc	icc	NOUN
easat-10138	418	56	)	)	PUNCT
easat-10138	418	57	invasive	invasive	ADJ
easat-10138	418	58	ductal	ductal	ADJ
easat-10138	418	59	carcinoma	carcinoma	NOUN
easat-10138	418	60	(	(	PUNCT
easat-10138	418	61	idc	idc	PROPN
easat-10138	418	62	)	)	PUNCT
easat-10138	418	63	k	k	PROPN
easat-10138	418	64	-	-	PUNCT
easat-10138	418	65	nearest	near	ADJ
easat-10138	418	66	neighbor	neighbor	NOUN
easat-10138	418	67	(	(	PUNCT
easat-10138	418	68	knn	knn	PROPN
easat-10138	418	69	)	)	PUNCT
easat-10138	418	70	light	light	ADJ
easat-10138	418	71	gradient	gradient	NOUN
easat-10138	418	72	-	-	PUNCT
easat-10138	418	73	boosting	boost	VERB
easat-10138	418	74	machine	machine	NOUN
easat-10138	418	75	(	(	PUNCT
easat-10138	418	76	lgbm	lgbm	ADJ
easat-10138	418	77	)	)	PUNCT
easat-10138	418	78	logistic	logistic	ADJ
easat-10138	418	79	regression	regression	NOUN
easat-10138	418	80	(	(	PUNCT
easat-10138	418	81	lr	lr	NOUN
easat-10138	418	82	)	)	PUNCT
easat-10138	418	83	magnetic	magnetic	ADJ
easat-10138	418	84	resonance	resonance	NOUN
easat-10138	418	85	imaging	imaging	NOUN
easat-10138	418	86	(	(	PUNCT
easat-10138	418	87	mri	mri	NOUN
easat-10138	418	88	)	)	PUNCT
easat-10138	418	89	machine	machine	NOUN
easat-10138	418	90	learning	learning	NOUN
easat-10138	418	91	(	(	PUNCT
easat-10138	418	92	ml	ml	NOUN
easat-10138	418	93	)	)	PUNCT
easat-10138	418	94	mediolateral	mediolateral	ADJ
easat-10138	418	95	-	-	PUNCT
easat-10138	418	96	oblique	oblique	NOUN
easat-10138	418	97	(	(	PUNCT
easat-10138	418	98	mlo	mlo	NOUN
easat-10138	418	99	)	)	PUNCT
easat-10138	418	100	precision	precision	NOUN
easat-10138	418	101	-	-	PUNCT
easat-10138	418	102	recall	recall	NOUN
easat-10138	418	103	curve	curve	NOUN
easat-10138	418	104	(	(	PUNCT
easat-10138	418	105	auprc	auprc	ADJ
easat-10138	418	106	)	)	PUNCT
easat-10138	418	107	regions	region	NOUN
easat-10138	418	108	of	of	ADP
easat-10138	418	109	interest	interest	NOUN
easat-10138	418	110	(	(	PUNCT
easat-10138	418	111	rois	rois	PROPN
easat-10138	418	112	)	)	PUNCT
easat-10138	418	113	residual	residual	ADJ
easat-10138	418	114	networks	network	NOUN
easat-10138	418	115	(	(	PUNCT
easat-10138	418	116	resnet	resnet	NOUN
easat-10138	418	117	)	)	PUNCT
easat-10138	418	118	support	support	NOUN
easat-10138	418	119	vector	vector	NOUN
easat-10138	418	120	machines	machine	NOUN
easat-10138	418	121	(	(	PUNCT
easat-10138	418	122	svm	svm	ADJ
easat-10138	418	123	)	)	PUNCT
easat-10138	418	124	transfer	transfer	NOUN
easat-10138	418	125	learning	learn	VERB
easat-10138	418	126	random	random	ADJ
easat-10138	418	127	forest	forest	NOUN
easat-10138	418	128	model	model	NOUN
easat-10138	418	129	(	(	PUNCT
easat-10138	418	130	transrf	transrf	NOUN
easat-10138	418	131	)	)	PUNCT
easat-10138	418	132	whole	whole	ADJ
easat-10138	418	133	slide	slide	NOUN
easat-10138	418	134	images	image	NOUN
easat-10138	418	135	(	(	PUNCT
easat-10138	418	136	wsis	wsis	NOUN
easat-10138	418	137	)	)	PUNCT
easat-10138	418	138	you	you	PRON
easat-10138	418	139	-	-	PUNCT
easat-10138	418	140	only	only	ADV
easat-10138	418	141	-	-	PUNCT
easat-10138	418	142	look	look	NOUN
easat-10138	418	143	-	-	PUNCT
easat-10138	418	144	once	once	ADV
easat-10138	418	145	(	(	PUNCT
easat-10138	418	146	yolo	yolo	ADJ
easat-10138	418	147	)	)	PUNCT
easat-10138	418	148	1414	1414	NUM
easat-10138	418	149	edelweiss	edelweiss	PROPN
easat-10138	418	150	applied	apply	VERB
easat-10138	418	151	science	science	NOUN
easat-10138	418	152	and	and	CCONJ
easat-10138	418	153	technology	technology	NOUN
easat-10138	418	154	issn	issn	PROPN
easat-10138	418	155	:	:	PUNCT
easat-10138	418	156	2576	2576	NUM
easat-10138	418	157	-	-	SYM
easat-10138	418	158	8484	8484	NUM
easat-10138	418	159	vol	vol	NOUN
easat-10138	418	160	.	.	PROPN
easat-10138	419	1	9	9	NUM
easat-10138	419	2	,	,	PUNCT
easat-10138	419	3	no	no	INTJ
easat-10138	419	4	.	.	NOUN
easat-10138	419	5	9	9	NUM
easat-10138	419	6	:	:	SYM
easat-10138	419	7	1398	1398	NUM
easat-10138	419	8	-	-	SYM
easat-10138	419	9	1415	1415	NUM
easat-10138	419	10	,	,	PUNCT
easat-10138	419	11	2025	2025	NUM
easat-10138	419	12	doi	doi	NOUN
easat-10138	419	13	:	:	PUNCT
easat-10138	419	14	10.55214/2576	10.55214/2576	NUM
easat-10138	419	15	-	-	PUNCT
easat-10138	419	16	8484.v9i9.10138	8484.v9i9.10138	NOUN
easat-10138	420	1	©	©	PROPN
easat-10138	420	2	2025	2025	NUM
easat-10138	420	3	by	by	ADP
easat-10138	420	4	the	the	DET
easat-10138	420	5	authors	author	NOUN
easat-10138	420	6	;	;	PUNCT
easat-10138	420	7	licensee	licensee	PROPN
easat-10138	420	8	learning	learn	VERB
easat-10138	420	9	gate	gate	NOUN
easat-10138	420	10	transparency	transparency	NOUN
easat-10138	420	11	:	:	PUNCT
easat-10138	420	12	the	the	DET
easat-10138	420	13	authors	author	NOUN
easat-10138	420	14	confirm	confirm	VERB
easat-10138	420	15	that	that	SCONJ
easat-10138	420	16	the	the	DET
easat-10138	420	17	manuscript	manuscript	NOUN
easat-10138	420	18	is	be	AUX
easat-10138	420	19	an	an	DET
easat-10138	420	20	honest	honest	ADJ
easat-10138	420	21	,	,	PUNCT
easat-10138	420	22	accurate	accurate	ADJ
easat-10138	420	23	,	,	PUNCT
easat-10138	420	24	and	and	CCONJ
easat-10138	420	25	transparent	transparent	ADJ
easat-10138	420	26	account	account	NOUN
easat-10138	420	27	of	of	ADP
easat-10138	420	28	the	the	DET
easat-10138	420	29	study	study	NOUN
easat-10138	420	30	;	;	PUNCT
easat-10138	420	31	that	that	SCONJ
easat-10138	420	32	no	no	DET
easat-10138	420	33	vital	vital	ADJ
easat-10138	420	34	features	feature	NOUN
easat-10138	420	35	of	of	ADP
easat-10138	420	36	the	the	DET
easat-10138	420	37	study	study	NOUN
easat-10138	420	38	have	have	AUX
easat-10138	420	39	been	be	AUX
easat-10138	420	40	omitted	omit	VERB
easat-10138	420	41	;	;	PUNCT
easat-10138	420	42	and	and	CCONJ
easat-10138	420	43	that	that	SCONJ
easat-10138	420	44	any	any	DET
easat-10138	420	45	discrepancies	discrepancy	NOUN
easat-10138	420	46	from	from	ADP
easat-10138	420	47	the	the	DET
easat-10138	420	48	study	study	NOUN
easat-10138	420	49	as	as	SCONJ
easat-10138	420	50	planned	plan	VERB
easat-10138	420	51	have	have	AUX
easat-10138	420	52	been	be	AUX
easat-10138	420	53	explained	explain	VERB
easat-10138	420	54	.	.	PUNCT
easat-10138	421	1	this	this	DET
easat-10138	421	2	study	study	NOUN
easat-10138	421	3	followed	follow	VERB
easat-10138	421	4	all	all	DET
easat-10138	421	5	ethical	ethical	ADJ
easat-10138	421	6	practices	practice	NOUN
easat-10138	421	7	during	during	ADP
easat-10138	421	8	writing	writing	NOUN
easat-10138	421	9	.	.	PUNCT
easat-10138	422	1	acknowledgement	acknowledgement	NOUN
easat-10138	422	2	:	:	PUNCT
easat-10138	422	3	the	the	DET
easat-10138	422	4	authors	author	NOUN
easat-10138	422	5	sincerely	sincerely	ADV
easat-10138	422	6	appreciate	appreciate	VERB
easat-10138	422	7	the	the	DET
easat-10138	422	8	anonymous	anonymous	ADJ
easat-10138	422	9	reviewers	reviewer	NOUN
easat-10138	422	10	whose	whose	DET
easat-10138	422	11	feedback	feedback	NOUN
easat-10138	422	12	enhanced	enhance	VERB
easat-10138	422	13	the	the	DET
easat-10138	422	14	quality	quality	NOUN
easat-10138	422	15	of	of	ADP
easat-10138	422	16	the	the	DET
easat-10138	422	17	manuscript	manuscript	NOUN
easat-10138	422	18	.	.	PUNCT
easat-10138	423	1	copyright	copyright	NOUN
easat-10138	423	2	:	:	PUNCT
easat-10138	423	3	©	©	PROPN
easat-10138	423	4	2025	2025	NUM
easat-10138	423	5	by	by	ADP
easat-10138	423	6	the	the	DET
easat-10138	423	7	authors	author	NOUN
easat-10138	423	8	.	.	PUNCT
easat-10138	424	1	this	this	DET
easat-10138	424	2	open	open	ADJ
easat-10138	424	3	-	-	PUNCT
easat-10138	424	4	access	access	NOUN
easat-10138	424	5	article	article	NOUN
easat-10138	424	6	is	be	AUX
easat-10138	424	7	distributed	distribute	VERB
easat-10138	424	8	under	under	ADP
easat-10138	424	9	the	the	DET
easat-10138	424	10	terms	term	NOUN
easat-10138	424	11	and	and	CCONJ
easat-10138	424	12	conditions	condition	NOUN
easat-10138	424	13	of	of	ADP
easat-10138	424	14	the	the	DET
easat-10138	424	15	creative	creative	ADJ
easat-10138	424	16	commons	common	NOUN
easat-10138	424	17	attribution	attribution	NOUN
easat-10138	424	18	(	(	PUNCT
easat-10138	424	19	cc	cc	NOUN
easat-10138	424	20	by	by	ADP
easat-10138	424	21	)	)	PUNCT
easat-10138	424	22	license	license	NOUN
easat-10138	424	23	(	(	PUNCT
easat-10138	424	24	https://creativecommons.org/licenses/by/4.0/	https://creativecommons.org/licenses/by/4.0/	PROPN
easat-10138	424	25	)	)	PUNCT
easat-10138	424	26	.	.	PUNCT
easat-10138	425	1	references	reference	NOUN
easat-10138	425	2	[	[	X
easat-10138	425	3	1	1	NUM
easat-10138	425	4	]	]	PUNCT
easat-10138	426	1	a.	a.	NOUN
easat-10138	426	2	a.	a.	PROPN
easat-10138	426	3	abdul	abdul	PROPN
easat-10138	426	4	halim	halim	PROPN
easat-10138	426	5	et	et	PROPN
easat-10138	426	6	al	al	PROPN
easat-10138	426	7	.	.	PROPN
easat-10138	426	8	,	,	PUNCT
easat-10138	426	9	"	"	PUNCT
easat-10138	426	10	existing	exist	VERB
easat-10138	426	11	and	and	CCONJ
easat-10138	426	12	emerging	emerge	VERB
easat-10138	426	13	breast	breast	NOUN
easat-10138	426	14	cancer	cancer	NOUN
easat-10138	426	15	detection	detection	NOUN
easat-10138	426	16	technologies	technology	NOUN
easat-10138	426	17	and	and	CCONJ
easat-10138	426	18	its	its	PRON
easat-10138	426	19	challenges	challenge	NOUN
easat-10138	426	20	:	:	PUNCT
easat-10138	426	21	a	a	DET
easat-10138	426	22	review	review	NOUN
easat-10138	426	23	,	,	PUNCT
easat-10138	426	24	"	"	PUNCT
easat-10138	426	25	applied	apply	VERB
easat-10138	426	26	sciences	science	NOUN
easat-10138	426	27	,	,	PUNCT
easat-10138	426	28	vol	vol	NOUN
easat-10138	426	29	.	.	PROPN
easat-10138	426	30	11	11	NUM
easat-10138	426	31	,	,	PUNCT
easat-10138	426	32	no	no	INTJ
easat-10138	426	33	.	.	NOUN
easat-10138	426	34	22	22	NUM
easat-10138	426	35	,	,	PUNCT
easat-10138	426	36	p.	p.	NOUN
easat-10138	426	37	10753	10753	NUM
easat-10138	426	38	,	,	PUNCT
easat-10138	426	39	2021	2021	NUM
easat-10138	426	40	.	.	PUNCT
easat-10138	426	41	https://doi.org/10.3390/app112210753	https://doi.org/10.3390/app112210753	PROPN
easat-10138	427	1	[	[	X
easat-10138	427	2	2	2	NUM
easat-10138	427	3	]	]	X
easat-10138	427	4	o.	o.	PROPN
easat-10138	427	5	d.	d.	PROPN
easat-10138	427	6	olanloye	olanloye	PROPN
easat-10138	427	7	,	,	PUNCT
easat-10138	427	8	a.	a.	PROPN
easat-10138	427	9	e.	e.	PROPN
easat-10138	427	10	adeniyi	adeniyi	PROPN
easat-10138	427	11	,	,	PUNCT
easat-10138	427	12	h.	h.	PROPN
easat-10138	427	13	o.	o.	PROPN
easat-10138	427	14	aworinde	aworinde	PROPN
easat-10138	427	15	,	,	PUNCT
easat-10138	427	16	j.	j.	PROPN
easat-10138	427	17	b.	b.	PROPN
easat-10138	427	18	awotunde	awotunde	PROPN
easat-10138	427	19	,	,	PUNCT
easat-10138	427	20	a.	a.	PROPN
easat-10138	427	21	l.	l.	PROPN
easat-10138	427	22	imoize	imoize	PROPN
easat-10138	427	23	,	,	PUNCT
easat-10138	427	24	and	and	CCONJ
easat-10138	427	25	y.	y.	PROPN
easat-10138	427	26	mejdoub	mejdoub	NOUN
easat-10138	427	27	,	,	PUNCT
easat-10138	427	28	"	"	PUNCT
easat-10138	427	29	breast	breast	NOUN
easat-10138	427	30	cancer	cancer	NOUN
easat-10138	427	31	detection	detection	NOUN
easat-10138	427	32	and	and	CCONJ
easat-10138	427	33	classification	classification	NOUN
easat-10138	427	34	from	from	ADP
easat-10138	427	35	mammogram	mammogram	NOUN
easat-10138	427	36	images	image	NOUN
easat-10138	427	37	using	use	VERB
easat-10138	427	38	improved	improved	ADJ
easat-10138	427	39	convolutional	convolutional	ADJ
easat-10138	427	40	neural	neural	ADJ
easat-10138	427	41	network	network	NOUN
easat-10138	427	42	model	model	NOUN
easat-10138	427	43	,	,	PUNCT
easat-10138	427	44	"	"	PUNCT
easat-10138	427	45	presented	present	VERB
easat-10138	427	46	at	at	ADP
easat-10138	427	47	the	the	DET
easat-10138	427	48	international	international	ADJ
easat-10138	427	49	conference	conference	NOUN
easat-10138	427	50	on	on	ADP
easat-10138	427	51	connected	connected	ADJ
easat-10138	427	52	objects	object	NOUN
easat-10138	427	53	and	and	CCONJ
easat-10138	427	54	artificial	artificial	ADJ
easat-10138	427	55	intelligence	intelligence	NOUN
easat-10138	427	56	,	,	PUNCT
easat-10138	427	57	2024	2024	NUM
easat-10138	427	58	.	.	PUNCT
easat-10138	428	1	[	[	X
easat-10138	428	2	3	3	X
easat-10138	428	3	]	]	X
easat-10138	428	4	e.	e.	PROPN
easat-10138	428	5	k.	k.	PROPN
easat-10138	428	6	jadoon	jadoon	PROPN
easat-10138	428	7	,	,	PUNCT
easat-10138	428	8	f.	f.	PROPN
easat-10138	428	9	g.	g.	PROPN
easat-10138	428	10	khan	khan	PROPN
easat-10138	428	11	,	,	PUNCT
easat-10138	428	12	s.	s.	PROPN
easat-10138	428	13	shah	shah	PROPN
easat-10138	428	14	,	,	PUNCT
easat-10138	428	15	a.	a.	PROPN
easat-10138	428	16	khan	khan	PROPN
easat-10138	428	17	,	,	PUNCT
easat-10138	428	18	and	and	CCONJ
easat-10138	428	19	m.	m.	NOUN
easat-10138	428	20	elaffendi	elaffendi	PROPN
easat-10138	428	21	,	,	PUNCT
easat-10138	428	22	"	"	PUNCT
easat-10138	428	23	deep	deep	ADJ
easat-10138	428	24	learning	learning	NOUN
easat-10138	428	25	-	-	PUNCT
easat-10138	428	26	based	base	VERB
easat-10138	428	27	multi	multi	ADJ
easat-10138	428	28	-	-	ADJ
easat-10138	428	29	modal	modal	ADJ
easat-10138	428	30	ensemble	ensemble	ADJ
easat-10138	428	31	classification	classification	NOUN
easat-10138	428	32	approach	approach	NOUN
easat-10138	428	33	for	for	ADP
easat-10138	428	34	human	human	ADJ
easat-10138	428	35	breast	breast	NOUN
easat-10138	428	36	cancer	cancer	NOUN
easat-10138	428	37	prognosis	prognosis	NOUN
easat-10138	428	38	,	,	PUNCT
easat-10138	428	39	"	"	PUNCT
easat-10138	428	40	ieee	ieee	NOUN
easat-10138	428	41	access	access	NOUN
easat-10138	428	42	,	,	PUNCT
easat-10138	428	43	vol	vol	NOUN
easat-10138	428	44	.	.	PROPN
easat-10138	428	45	11	11	NUM
easat-10138	428	46	,	,	PUNCT
easat-10138	428	47	pp	pp	ADJ
easat-10138	428	48	.	.	PUNCT
easat-10138	428	49	85760	85760	NUM
easat-10138	428	50	-	-	SYM
easat-10138	428	51	85769	85769	NUM
easat-10138	428	52	,	,	PUNCT
easat-10138	428	53	2023	2023	NUM
easat-10138	428	54	.	.	PUNCT
easat-10138	429	1	https://doi.org/10.1109/access.2023.3304242	https://doi.org/10.1109/access.2023.3304242	NOUN
easat-10138	430	1	[	[	X
easat-10138	430	2	4	4	X
easat-10138	430	3	]	]	X
easat-10138	430	4	n.	n.	PROPN
easat-10138	430	5	behar	behar	PROPN
easat-10138	430	6	and	and	CCONJ
easat-10138	430	7	m.	m.	PROPN
easat-10138	430	8	shrivastava	shrivastava	PROPN
easat-10138	430	9	,	,	PUNCT
easat-10138	430	10	"	"	PUNCT
easat-10138	430	11	a	a	DET
easat-10138	430	12	novel	novel	ADJ
easat-10138	430	13	model	model	NOUN
easat-10138	430	14	for	for	ADP
easat-10138	430	15	breast	breast	NOUN
easat-10138	430	16	cancer	cancer	NOUN
easat-10138	430	17	detection	detection	NOUN
easat-10138	430	18	and	and	CCONJ
easat-10138	430	19	classification	classification	NOUN
easat-10138	430	20	,	,	PUNCT
easat-10138	430	21	"	"	PUNCT
easat-10138	430	22	engineering	engineering	NOUN
easat-10138	430	23	,	,	PUNCT
easat-10138	430	24	technology	technology	NOUN
easat-10138	430	25	&	&	CCONJ
easat-10138	430	26	applied	apply	VERB
easat-10138	430	27	science	science	NOUN
easat-10138	430	28	research	research	NOUN
easat-10138	430	29	,	,	PUNCT
easat-10138	430	30	vol	vol	NOUN
easat-10138	430	31	.	.	PROPN
easat-10138	430	32	12	12	NUM
easat-10138	430	33	,	,	PUNCT
easat-10138	430	34	no	no	INTJ
easat-10138	430	35	.	.	NOUN
easat-10138	430	36	6	6	NUM
easat-10138	430	37	,	,	PUNCT
easat-10138	430	38	pp	pp	ADJ
easat-10138	430	39	.	.	PUNCT
easat-10138	431	1	9496	9496	NUM
easat-10138	431	2	-	-	SYM
easat-10138	431	3	9502	9502	NUM
easat-10138	431	4	,	,	PUNCT
easat-10138	431	5	2022	2022	NUM
easat-10138	431	6	.	.	PUNCT
easat-10138	431	7	https://doi.org/10.48084/etasr.5115	https://doi.org/10.48084/etasr.5115	PROPN
easat-10138	432	1	[	[	X
easat-10138	432	2	5	5	NUM
easat-10138	432	3	]	]	PUNCT
easat-10138	432	4	s.	s.	PROPN
easat-10138	432	5	m.	m.	PROPN
easat-10138	432	6	shaaban	shaaban	PROPN
easat-10138	432	7	,	,	PUNCT
easat-10138	432	8	m.	m.	NOUN
easat-10138	432	9	nawaz	nawaz	NOUN
easat-10138	432	10	,	,	PUNCT
easat-10138	432	11	y.	y.	PROPN
easat-10138	432	12	said	say	VERB
easat-10138	432	13	,	,	PUNCT
easat-10138	432	14	and	and	CCONJ
easat-10138	432	15	m.	m.	PROPN
easat-10138	432	16	barr	barr	PROPN
easat-10138	432	17	,	,	PUNCT
easat-10138	432	18	"	"	PUNCT
easat-10138	432	19	an	an	DET
easat-10138	432	20	efficient	efficient	ADJ
easat-10138	432	21	breast	breast	NOUN
easat-10138	432	22	cancer	cancer	NOUN
easat-10138	432	23	segmentation	segmentation	NOUN
easat-10138	432	24	system	system	NOUN
easat-10138	432	25	based	base	VERB
easat-10138	432	26	on	on	ADP
easat-10138	432	27	deep	deep	ADJ
easat-10138	432	28	learning	learning	NOUN
easat-10138	432	29	techniques	technique	NOUN
easat-10138	432	30	,	,	PUNCT
easat-10138	432	31	"	"	PUNCT
easat-10138	432	32	engineering	engineering	NOUN
easat-10138	432	33	,	,	PUNCT
easat-10138	432	34	technology	technology	NOUN
easat-10138	432	35	&	&	CCONJ
easat-10138	432	36	applied	apply	VERB
easat-10138	432	37	science	science	NOUN
easat-10138	432	38	research	research	NOUN
easat-10138	432	39	,	,	PUNCT
easat-10138	432	40	vol	vol	NOUN
easat-10138	432	41	.	.	PROPN
easat-10138	432	42	13	13	NUM
easat-10138	432	43	,	,	PUNCT
easat-10138	432	44	no	no	INTJ
easat-10138	432	45	.	.	NOUN
easat-10138	432	46	6	6	NUM
easat-10138	432	47	,	,	PUNCT
easat-10138	432	48	pp	pp	ADJ
easat-10138	432	49	.	.	PUNCT
easat-10138	433	1	12415	12415	NUM
easat-10138	433	2	-	-	SYM
easat-10138	433	3	12422	12422	NUM
easat-10138	433	4	,	,	PUNCT
easat-10138	433	5	2023	2023	NUM
easat-10138	433	6	.	.	PUNCT
easat-10138	434	1	https://doi.org/10.48084/etasr.6518	https://doi.org/10.48084/etasr.6518	NOUN
easat-10138	434	2	[	[	X
easat-10138	434	3	6	6	NUM
easat-10138	434	4	]	]	X
easat-10138	434	5	y.	y.	PROPN
easat-10138	434	6	alaca	alaca	PROPN
easat-10138	434	7	and	and	CCONJ
easat-10138	434	8	ö.	ö.	PROPN
easat-10138	434	9	f.	f.	PROPN
easat-10138	434	10	akmeşe	akmeşe	PROPN
easat-10138	434	11	,	,	PUNCT
easat-10138	434	12	"	"	PUNCT
easat-10138	434	13	pancreatic	pancreatic	ADJ
easat-10138	434	14	tumor	tumor	NOUN
easat-10138	434	15	detection	detection	NOUN
easat-10138	434	16	from	from	ADP
easat-10138	434	17	ct	ct	NUM
easat-10138	434	18	images	image	NOUN
easat-10138	434	19	converted	convert	VERB
easat-10138	434	20	to	to	ADP
easat-10138	434	21	graphs	graph	NOUN
easat-10138	434	22	using	use	VERB
easat-10138	434	23	whale	whale	NOUN
easat-10138	434	24	optimization	optimization	NOUN
easat-10138	434	25	and	and	CCONJ
easat-10138	434	26	classification	classification	NOUN
easat-10138	434	27	algorithms	algorithm	NOUN
easat-10138	434	28	with	with	ADP
easat-10138	434	29	transfer	transfer	NOUN
easat-10138	434	30	learning	learning	NOUN
easat-10138	434	31	,	,	PUNCT
easat-10138	434	32	"	"	PUNCT
easat-10138	434	33	international	international	ADJ
easat-10138	434	34	journal	journal	NOUN
easat-10138	434	35	of	of	ADP
easat-10138	434	36	imaging	imaging	NOUN
easat-10138	434	37	systems	system	NOUN
easat-10138	434	38	and	and	CCONJ
easat-10138	434	39	technology	technology	NOUN
easat-10138	434	40	,	,	PUNCT
easat-10138	434	41	vol	vol	NOUN
easat-10138	434	42	.	.	PROPN
easat-10138	434	43	35	35	NUM
easat-10138	434	44	,	,	PUNCT
easat-10138	434	45	no	no	INTJ
easat-10138	434	46	.	.	NOUN
easat-10138	434	47	2	2	NUM
easat-10138	434	48	,	,	PUNCT
easat-10138	434	49	p.	p.	NOUN
easat-10138	434	50	e70040	e70040	NOUN
easat-10138	434	51	,	,	PUNCT
easat-10138	434	52	2025	2025	NUM
easat-10138	434	53	.	.	PUNCT
easat-10138	435	1	[	[	X
easat-10138	435	2	7	7	X
easat-10138	435	3	]	]	X
easat-10138	435	4	s.	s.	PROPN
easat-10138	435	5	chaudhury	chaudhury	PROPN
easat-10138	435	6	et	et	PROPN
easat-10138	435	7	al	al	PROPN
easat-10138	435	8	.	.	PROPN
easat-10138	435	9	,	,	PUNCT
easat-10138	435	10	"	"	PUNCT
easat-10138	435	11	effective	effective	ADJ
easat-10138	435	12	image	image	NOUN
easat-10138	435	13	processing	processing	NOUN
easat-10138	435	14	and	and	CCONJ
easat-10138	435	15	segmentation‐based	segmentation‐based	ADJ
easat-10138	435	16	machine	machine	NOUN
easat-10138	435	17	learning	learn	VERB
easat-10138	435	18	techniques	technique	NOUN
easat-10138	435	19	for	for	ADP
easat-10138	435	20	diagnosis	diagnosis	NOUN
easat-10138	435	21	of	of	ADP
easat-10138	435	22	breast	breast	NOUN
easat-10138	435	23	cancer	cancer	NOUN
easat-10138	435	24	,	,	PUNCT
easat-10138	435	25	"	"	PUNCT
easat-10138	435	26	computational	computational	ADJ
easat-10138	435	27	and	and	CCONJ
easat-10138	435	28	mathematical	mathematical	ADJ
easat-10138	435	29	methods	method	NOUN
easat-10138	435	30	in	in	ADP
easat-10138	435	31	medicine	medicine	NOUN
easat-10138	435	32	,	,	PUNCT
easat-10138	435	33	vol	vol	NOUN
easat-10138	435	34	.	.	NOUN
easat-10138	435	35	2022	2022	NUM
easat-10138	435	36	,	,	PUNCT
easat-10138	435	37	no	no	INTJ
easat-10138	435	38	.	.	NOUN
easat-10138	435	39	1	1	NUM
easat-10138	435	40	,	,	PUNCT
easat-10138	435	41	p.	p.	NOUN
easat-10138	435	42	6841334	6841334	NUM
easat-10138	435	43	,	,	PUNCT
easat-10138	435	44	2022	2022	NUM
easat-10138	435	45	.	.	PUNCT
easat-10138	436	1	https://doi.org/10.1155/2022/6841334	https://doi.org/10.1155/2022/6841334	PROPN
easat-10138	437	1	[	[	X
easat-10138	437	2	8	8	NUM
easat-10138	437	3	]	]	X
easat-10138	437	4	n.	n.	PROPN
easat-10138	437	5	jain	jain	PROPN
easat-10138	437	6	and	and	CCONJ
easat-10138	437	7	r.	r.	PROPN
easat-10138	437	8	kumar	kumar	PROPN
easat-10138	437	9	,	,	PUNCT
easat-10138	437	10	"	"	PUNCT
easat-10138	437	11	a	a	DET
easat-10138	437	12	review	review	NOUN
easat-10138	437	13	on	on	ADP
easat-10138	437	14	machine	machine	NOUN
easat-10138	437	15	learning	learning	NOUN
easat-10138	437	16	&	&	CCONJ
easat-10138	437	17	it	it	PRON
easat-10138	437	18	’s	’	VERB
easat-10138	437	19	algorithms	algorithm	NOUN
easat-10138	437	20	,	,	PUNCT
easat-10138	437	21	"	"	PUNCT
easat-10138	437	22	international	international	ADJ
easat-10138	437	23	journal	journal	NOUN
easat-10138	437	24	of	of	ADP
easat-10138	437	25	soft	soft	ADJ
easat-10138	437	26	computing	computing	NOUN
easat-10138	437	27	and	and	CCONJ
easat-10138	437	28	engineering	engineering	NOUN
easat-10138	437	29	,	,	PUNCT
easat-10138	437	30	vol	vol	NOUN
easat-10138	437	31	.	.	PROPN
easat-10138	437	32	12	12	NUM
easat-10138	437	33	,	,	PUNCT
easat-10138	437	34	no	no	INTJ
easat-10138	437	35	.	.	NOUN
easat-10138	437	36	5	5	NUM
easat-10138	437	37	,	,	PUNCT
easat-10138	437	38	pp	pp	ADJ
easat-10138	437	39	.	.	PUNCT
easat-10138	438	1	1	1	NUM
easat-10138	438	2	-	-	SYM
easat-10138	438	3	5	5	NUM
easat-10138	438	4	,	,	PUNCT
easat-10138	438	5	2022	2022	NUM
easat-10138	438	6	.	.	PUNCT
easat-10138	439	1	[	[	X
easat-10138	439	2	9	9	NUM
easat-10138	439	3	]	]	X
easat-10138	439	4	t.	t.	PROPN
easat-10138	439	5	gu	gu	PROPN
easat-10138	439	6	,	,	PUNCT
easat-10138	439	7	y.	y.	PROPN
easat-10138	439	8	han	han	PROPN
easat-10138	439	9	,	,	PUNCT
easat-10138	439	10	and	and	CCONJ
easat-10138	439	11	r.	r.	PROPN
easat-10138	439	12	duan	duan	PROPN
easat-10138	439	13	,	,	PUNCT
easat-10138	439	14	"	"	PUNCT
easat-10138	439	15	a	a	DET
easat-10138	439	16	transfer	transfer	NOUN
easat-10138	439	17	learning	learn	VERB
easat-10138	439	18	approach	approach	NOUN
easat-10138	439	19	based	base	VERB
easat-10138	439	20	on	on	ADP
easat-10138	439	21	random	random	ADJ
easat-10138	439	22	forest	forest	NOUN
easat-10138	439	23	with	with	ADP
easat-10138	439	24	application	application	NOUN
easat-10138	439	25	to	to	ADP
easat-10138	439	26	breast	breast	NOUN
easat-10138	439	27	cancer	cancer	NOUN
easat-10138	439	28	prediction	prediction	NOUN
easat-10138	439	29	in	in	ADP
easat-10138	439	30	underrepresented	underrepresented	ADJ
easat-10138	439	31	populations	population	NOUN
easat-10138	439	32	,	,	PUNCT
easat-10138	439	33	"	"	PUNCT
easat-10138	439	34	biocomputing	biocomputing	NOUN
easat-10138	439	35	,	,	PUNCT
easat-10138	439	36	pp	pp	ADJ
easat-10138	439	37	.	.	PUNCT
easat-10138	440	1	186–197	186–197	NUM
easat-10138	440	2	,	,	PUNCT
easat-10138	440	3	2022	2022	NUM
easat-10138	440	4	.	.	PUNCT
easat-10138	441	1	https://doi.org/10.1142/9789811270611_0018	https://doi.org/10.1142/9789811270611_0018	NOUN
easat-10138	442	1	[	[	X
easat-10138	442	2	10	10	NUM
easat-10138	442	3	]	]	PUNCT
easat-10138	442	4	m.	m.	PROPN
easat-10138	442	5	hmida	hmida	PROPN
easat-10138	442	6	,	,	PUNCT
easat-10138	442	7	k.	k.	PROPN
easat-10138	442	8	hamrouni	hamrouni	PROPN
easat-10138	442	9	,	,	PUNCT
easat-10138	442	10	b.	b.	PROPN
easat-10138	442	11	solaiman	solaiman	NOUN
easat-10138	442	12	,	,	PUNCT
easat-10138	442	13	and	and	CCONJ
easat-10138	442	14	s.	s.	PROPN
easat-10138	442	15	boussetta	boussetta	PROPN
easat-10138	442	16	,	,	PUNCT
easat-10138	442	17	"	"	PUNCT
easat-10138	442	18	an	an	DET
easat-10138	442	19	efficient	efficient	ADJ
easat-10138	442	20	method	method	NOUN
easat-10138	442	21	for	for	ADP
easat-10138	442	22	breast	breast	NOUN
easat-10138	442	23	mass	mass	NOUN
easat-10138	442	24	segmentation	segmentation	NOUN
easat-10138	442	25	and	and	CCONJ
easat-10138	442	26	classification	classification	NOUN
easat-10138	442	27	in	in	ADP
easat-10138	442	28	mammographic	mammographic	ADJ
easat-10138	442	29	images	image	NOUN
easat-10138	442	30	,	,	PUNCT
easat-10138	442	31	"	"	PUNCT
easat-10138	442	32	international	international	ADJ
easat-10138	442	33	journal	journal	NOUN
easat-10138	442	34	of	of	ADP
easat-10138	442	35	advanced	advanced	ADJ
easat-10138	442	36	computer	computer	NOUN
easat-10138	442	37	science	science	NOUN
easat-10138	442	38	and	and	CCONJ
easat-10138	442	39	applications	application	NOUN
easat-10138	442	40	,	,	PUNCT
easat-10138	442	41	vol	vol	NOUN
easat-10138	442	42	.	.	PROPN
easat-10138	442	43	8	8	NUM
easat-10138	442	44	,	,	PUNCT
easat-10138	442	45	no	no	INTJ
easat-10138	442	46	.	.	NOUN
easat-10138	442	47	11	11	NUM
easat-10138	442	48	,	,	PUNCT
easat-10138	442	49	2017	2017	NUM
easat-10138	442	50	.	.	PUNCT
easat-10138	443	1	https://doi.org/10.14569/ijacsa.2017.081134	https://doi.org/10.14569/ijacsa.2017.081134	PROPN
easat-10138	444	1	[	[	X
easat-10138	444	2	11	11	NUM
easat-10138	444	3	]	]	PUNCT
easat-10138	444	4	j.	j.	PROPN
easat-10138	444	5	b.	b.	PROPN
easat-10138	444	6	awotunde	awotunde	PROPN
easat-10138	444	7	et	et	PROPN
easat-10138	444	8	al	al	PROPN
easat-10138	444	9	.	.	PROPN
easat-10138	444	10	,	,	PUNCT
easat-10138	444	11	"	"	PUNCT
easat-10138	444	12	an	an	DET
easat-10138	444	13	enhanced	enhanced	ADJ
easat-10138	444	14	hyper	hyper	ADJ
easat-10138	444	15	-	-	ADJ
easat-10138	444	16	parameter	parameter	ADJ
easat-10138	444	17	optimization	optimization	NOUN
easat-10138	444	18	of	of	ADP
easat-10138	444	19	a	a	DET
easat-10138	444	20	convolutional	convolutional	ADJ
easat-10138	444	21	neural	neural	ADJ
easat-10138	444	22	network	network	NOUN
easat-10138	444	23	model	model	NOUN
easat-10138	444	24	for	for	ADP
easat-10138	444	25	leukemia	leukemia	NOUN
easat-10138	444	26	cancer	cancer	NOUN
easat-10138	444	27	diagnosis	diagnosis	NOUN
easat-10138	444	28	in	in	ADP
easat-10138	444	29	a	a	DET
easat-10138	444	30	smart	smart	ADJ
easat-10138	444	31	healthcare	healthcare	NOUN
easat-10138	444	32	system	system	NOUN
easat-10138	444	33	,	,	PUNCT
easat-10138	444	34	"	"	PUNCT
easat-10138	444	35	sensors	sensor	NOUN
easat-10138	444	36	,	,	PUNCT
easat-10138	444	37	vol	vol	NOUN
easat-10138	444	38	.	.	PROPN
easat-10138	445	1	22	22	NUM
easat-10138	445	2	,	,	PUNCT
easat-10138	445	3	no	no	INTJ
easat-10138	445	4	.	.	NOUN
easat-10138	445	5	24	24	NUM
easat-10138	445	6	,	,	PUNCT
easat-10138	445	7	p.	p.	NOUN
easat-10138	445	8	9689	9689	NUM
easat-10138	445	9	,	,	PUNCT
easat-10138	445	10	2022	2022	NUM
easat-10138	445	11	.	.	PUNCT
easat-10138	446	1	https://doi.org/10.3390/s22249689	https://doi.org/10.3390/s22249689	ADJ
easat-10138	447	1	[	[	X
easat-10138	447	2	12	12	NUM
easat-10138	447	3	]	]	PUNCT
easat-10138	447	4	z.	z.	PROPN
easat-10138	447	5	pei	pei	PROPN
easat-10138	447	6	,	,	PUNCT
easat-10138	447	7	s.	s.	PROPN
easat-10138	447	8	cao	cao	PROPN
easat-10138	447	9	,	,	PUNCT
easat-10138	447	10	l.	l.	PROPN
easat-10138	447	11	lu	lu	PROPN
easat-10138	447	12	,	,	PUNCT
easat-10138	447	13	and	and	CCONJ
easat-10138	447	14	w.	w.	PROPN
easat-10138	447	15	chen	chen	PROPN
easat-10138	447	16	,	,	PUNCT
easat-10138	447	17	"	"	PUNCT
easat-10138	447	18	direct	direct	ADJ
easat-10138	447	19	cellularity	cellularity	NOUN
easat-10138	447	20	estimation	estimation	NOUN
easat-10138	447	21	on	on	ADP
easat-10138	447	22	breast	breast	NOUN
easat-10138	447	23	cancer	cancer	NOUN
easat-10138	447	24	histopathology	histopathology	NOUN
easat-10138	447	25	images	image	NOUN
easat-10138	447	26	using	use	VERB
easat-10138	447	27	transfer	transfer	NOUN
easat-10138	447	28	learning	learning	NOUN
easat-10138	447	29	,	,	PUNCT
easat-10138	447	30	"	"	PUNCT
easat-10138	447	31	computational	computational	ADJ
easat-10138	447	32	and	and	CCONJ
easat-10138	447	33	mathematical	mathematical	ADJ
easat-10138	447	34	methods	method	NOUN
easat-10138	447	35	in	in	ADP
easat-10138	447	36	medicine	medicine	NOUN
easat-10138	447	37	,	,	PUNCT
easat-10138	447	38	vol	vol	NOUN
easat-10138	447	39	.	.	PROPN
easat-10138	447	40	2019	2019	NUM
easat-10138	447	41	,	,	PUNCT
easat-10138	447	42	no	no	INTJ
easat-10138	447	43	.	.	NOUN
easat-10138	447	44	1	1	NUM
easat-10138	447	45	,	,	PUNCT
easat-10138	447	46	p.	p.	NOUN
easat-10138	447	47	3041250	3041250	NUM
easat-10138	447	48	,	,	PUNCT
easat-10138	447	49	2019	2019	NUM
easat-10138	447	50	.	.	PUNCT
easat-10138	448	1	https://doi.org/10.1155/2019/3041250	https://doi.org/10.1155/2019/3041250	PROPN
easat-10138	449	1	[	[	X
easat-10138	449	2	13	13	NUM
easat-10138	449	3	]	]	X
easat-10138	449	4	y.	y.	PROPN
easat-10138	449	5	n.	n.	PROPN
easat-10138	449	6	tan	tan	PROPN
easat-10138	449	7	,	,	PUNCT
easat-10138	449	8	v.	v.	PUNCT
easat-10138	450	1	p.	p.	PROPN
easat-10138	450	2	tinh	tinh	PROPN
easat-10138	450	3	,	,	PUNCT
easat-10138	451	1	p.	p.	PROPN
easat-10138	451	2	d.	d.	PROPN
easat-10138	451	3	lam	lam	PROPN
easat-10138	451	4	,	,	PUNCT
easat-10138	451	5	n.	n.	PROPN
easat-10138	451	6	h.	h.	PROPN
easat-10138	451	7	nam	nam	PROPN
easat-10138	451	8	,	,	PUNCT
easat-10138	451	9	and	and	CCONJ
easat-10138	451	10	t.	t.	PROPN
easat-10138	451	11	a.	a.	NOUN
easat-10138	451	12	khoa	khoa	PROPN
easat-10138	451	13	,	,	PUNCT
easat-10138	451	14	"	"	PUNCT
easat-10138	451	15	a	a	DET
easat-10138	451	16	transfer	transfer	NOUN
easat-10138	451	17	learning	learn	VERB
easat-10138	451	18	approach	approach	NOUN
easat-10138	451	19	to	to	ADP
easat-10138	451	20	breast	breast	NOUN
easat-10138	451	21	cancer	cancer	NOUN
easat-10138	451	22	classification	classification	NOUN
easat-10138	451	23	in	in	ADP
easat-10138	451	24	a	a	DET
easat-10138	451	25	federated	federated	ADJ
easat-10138	451	26	learning	learning	NOUN
easat-10138	451	27	framework	framework	NOUN
easat-10138	451	28	,	,	PUNCT
easat-10138	451	29	"	"	PUNCT
easat-10138	451	30	ieee	ieee	NOUN
easat-10138	451	31	access	access	NOUN
easat-10138	451	32	,	,	PUNCT
easat-10138	451	33	vol	vol	NOUN
easat-10138	451	34	.	.	PROPN
easat-10138	451	35	11	11	NUM
easat-10138	451	36	,	,	PUNCT
easat-10138	451	37	pp	pp	ADJ
easat-10138	451	38	.	.	PUNCT
easat-10138	451	39	27462	27462	NUM
easat-10138	451	40	-	-	SYM
easat-10138	451	41	27476	27476	NUM
easat-10138	451	42	,	,	PUNCT
easat-10138	451	43	2023	2023	NUM
easat-10138	451	44	.	.	PUNCT
easat-10138	452	1	https://doi.org/10.1109/access.2023.3257562	https://doi.org/10.1109/access.2023.3257562	PROPN
easat-10138	452	2	[	[	X
easat-10138	452	3	14	14	NUM
easat-10138	452	4	]	]	PUNCT
easat-10138	452	5	m.	m.	NOUN
easat-10138	452	6	yusoff	yusoff	NOUN
easat-10138	452	7	,	,	PUNCT
easat-10138	452	8	t.	t.	PROPN
easat-10138	452	9	haryanto	haryanto	PROPN
easat-10138	452	10	,	,	PUNCT
easat-10138	452	11	h.	h.	PROPN
easat-10138	452	12	suhartanto	suhartanto	PROPN
easat-10138	452	13	,	,	PUNCT
easat-10138	452	14	w.	w.	PROPN
easat-10138	452	15	a.	a.	PROPN
easat-10138	452	16	mustafa	mustafa	PROPN
easat-10138	452	17	,	,	PUNCT
easat-10138	452	18	j.	j.	PROPN
easat-10138	452	19	m.	m.	PROPN
easat-10138	452	20	zain	zain	PROPN
easat-10138	452	21	,	,	PUNCT
easat-10138	452	22	and	and	CCONJ
easat-10138	452	23	k.	k.	PROPN
easat-10138	452	24	kusmardi	kusmardi	PROPN
easat-10138	452	25	,	,	PUNCT
easat-10138	452	26	"	"	PUNCT
easat-10138	452	27	accuracy	accuracy	NOUN
easat-10138	452	28	analysis	analysis	NOUN
easat-10138	452	29	of	of	ADP
easat-10138	452	30	deep	deep	ADJ
easat-10138	452	31	learning	learning	NOUN
easat-10138	452	32	methods	method	NOUN
easat-10138	452	33	in	in	ADP
easat-10138	452	34	breast	breast	NOUN
easat-10138	452	35	cancer	cancer	NOUN
easat-10138	452	36	classification	classification	NOUN
easat-10138	452	37	:	:	PUNCT
easat-10138	452	38	a	a	DET
easat-10138	452	39	structured	structured	ADJ
easat-10138	452	40	review	review	NOUN
easat-10138	452	41	,	,	PUNCT
easat-10138	452	42	"	"	PUNCT
easat-10138	452	43	diagnostics	diagnostic	NOUN
easat-10138	452	44	,	,	PUNCT
easat-10138	452	45	vol	vol	NOUN
easat-10138	452	46	.	.	PROPN
easat-10138	452	47	13	13	NUM
easat-10138	452	48	,	,	PUNCT
easat-10138	452	49	no	no	INTJ
easat-10138	452	50	.	.	NOUN
easat-10138	452	51	4	4	NUM
easat-10138	452	52	,	,	PUNCT
easat-10138	452	53	p.	p.	NOUN
easat-10138	452	54	683	683	NUM
easat-10138	452	55	,	,	PUNCT
easat-10138	452	56	2023	2023	NUM
easat-10138	452	57	.	.	PUNCT
easat-10138	453	1	https://doi.org/10.3390/diagnostics13040683	https://doi.org/10.3390/diagnostics13040683	VERB
easat-10138	454	1	[	[	X
easat-10138	454	2	15	15	NUM
easat-10138	454	3	]	]	X
easat-10138	454	4	j.	j.	PROPN
easat-10138	454	5	verbraeken	verbraeken	PROPN
easat-10138	454	6	,	,	PUNCT
easat-10138	454	7	m.	m.	NOUN
easat-10138	454	8	wolting	wolting	NOUN
easat-10138	454	9	,	,	PUNCT
easat-10138	454	10	j.	j.	PROPN
easat-10138	454	11	katzy	katzy	PROPN
easat-10138	454	12	,	,	PUNCT
easat-10138	454	13	j.	j.	PROPN
easat-10138	454	14	kloppenburg	kloppenburg	PROPN
easat-10138	454	15	,	,	PUNCT
easat-10138	454	16	t.	t.	PROPN
easat-10138	454	17	verbelen	verbelen	ADJ
easat-10138	454	18	,	,	PUNCT
easat-10138	454	19	and	and	CCONJ
easat-10138	454	20	j.	j.	PROPN
easat-10138	454	21	s.	s.	PROPN
easat-10138	454	22	rellermeyer	rellermeyer	PROPN
easat-10138	454	23	,	,	PUNCT
easat-10138	454	24	"	"	PUNCT
easat-10138	454	25	a	a	DET
easat-10138	454	26	survey	survey	NOUN
easat-10138	454	27	on	on	ADP
easat-10138	454	28	distributed	distribute	VERB
easat-10138	454	29	machine	machine	NOUN
easat-10138	454	30	learning	learning	NOUN
easat-10138	454	31	,	,	PUNCT
easat-10138	454	32	"	"	PUNCT
easat-10138	454	33	acm	acm	PROPN
easat-10138	454	34	computing	computing	NOUN
easat-10138	454	35	surveys	survey	NOUN
easat-10138	454	36	,	,	PUNCT
easat-10138	454	37	vol	vol	NOUN
easat-10138	454	38	.	.	PROPN
easat-10138	455	1	53	53	NUM
easat-10138	455	2	,	,	PUNCT
easat-10138	455	3	no	no	INTJ
easat-10138	455	4	.	.	NOUN
easat-10138	455	5	2	2	NUM
easat-10138	455	6	,	,	PUNCT
easat-10138	455	7	pp	pp	ADJ
easat-10138	455	8	.	.	PUNCT
easat-10138	456	1	1	1	NUM
easat-10138	456	2	-	-	SYM
easat-10138	456	3	33	33	NUM
easat-10138	456	4	,	,	PUNCT
easat-10138	456	5	2020	2020	NUM
easat-10138	456	6	.	.	PUNCT
easat-10138	456	7	https://doi.org/10.1145/3377454	https://doi.org/10.1145/3377454	PUNCT
easat-10138	457	1	[	[	X
easat-10138	457	2	16	16	NUM
easat-10138	457	3	]	]	PUNCT
easat-10138	457	4	x.	x.	NOUN
easat-10138	457	5	wang	wang	PROPN
easat-10138	457	6	et	et	PROPN
easat-10138	457	7	al	al	PROPN
easat-10138	457	8	.	.	PROPN
easat-10138	457	9	,	,	PUNCT
easat-10138	457	10	"	"	PUNCT
easat-10138	457	11	intelligent	intelligent	ADJ
easat-10138	457	12	hybrid	hybrid	ADJ
easat-10138	457	13	deep	deep	ADJ
easat-10138	457	14	learning	learning	NOUN
easat-10138	457	15	model	model	NOUN
easat-10138	457	16	for	for	ADP
easat-10138	457	17	breast	breast	NOUN
easat-10138	457	18	cancer	cancer	NOUN
easat-10138	457	19	detection	detection	NOUN
easat-10138	457	20	,	,	PUNCT
easat-10138	457	21	"	"	PUNCT
easat-10138	457	22	electronics	electronic	NOUN
easat-10138	457	23	,	,	PUNCT
easat-10138	457	24	vol	vol	NOUN
easat-10138	457	25	.	.	PROPN
easat-10138	457	26	11	11	NUM
easat-10138	457	27	,	,	PUNCT
easat-10138	457	28	no	no	INTJ
easat-10138	457	29	.	.	NOUN
easat-10138	457	30	17	17	NUM
easat-10138	457	31	,	,	PUNCT
easat-10138	457	32	p.	p.	NOUN
easat-10138	457	33	2767	2767	NUM
easat-10138	457	34	,	,	PUNCT
easat-10138	457	35	2022	2022	NUM
easat-10138	457	36	.	.	PUNCT
easat-10138	458	1	https://doi.org/10.3390/electronics11172767	https://doi.org/10.3390/electronics11172767	PROPN
easat-10138	458	2	https://creativecommons.org/licenses/by/4.0/	https://creativecommons.org/licenses/by/4.0/	PROPN
easat-10138	458	3	https://doi.org/10.3390/app112210753	https://doi.org/10.3390/app112210753	PROPN
easat-10138	458	4	https://doi.org/10.1109/access.2023.3304242	https://doi.org/10.1109/access.2023.3304242	PROPN
easat-10138	458	5	https://doi.org/10.48084/etasr.5115	https://doi.org/10.48084/etasr.5115	PROPN
easat-10138	458	6	https://doi.org/10.48084/etasr.6518	https://doi.org/10.48084/etasr.6518	NOUN
easat-10138	458	7	https://doi.org/10.1155/2022/6841334	https://doi.org/10.1155/2022/6841334	PROPN
easat-10138	458	8	https://doi.org/10.1142/9789811270611_0018	https://doi.org/10.1142/9789811270611_0018	VERB
easat-10138	459	1	https://doi.org/10.14569/ijacsa.2017.081134	https://doi.org/10.14569/ijacsa.2017.081134	PROPN
easat-10138	459	2	https://doi.org/10.3390/s22249689	https://doi.org/10.3390/s22249689	NUM
easat-10138	459	3	https://doi.org/10.1155/2019/3041250	https://doi.org/10.1155/2019/3041250	PROPN
easat-10138	459	4	https://doi.org/10.1109/access.2023.3257562	https://doi.org/10.1109/access.2023.3257562	PROPN
easat-10138	459	5	https://doi.org/10.3390/diagnostics13040683	https://doi.org/10.3390/diagnostics13040683	VERB
easat-10138	459	6	https://doi.org/10.1145/3377454	https://doi.org/10.1145/3377454	VERB
easat-10138	459	7	https://doi.org/10.3390/electronics11172767	https://doi.org/10.3390/electronics11172767	PROPN
easat-10138	459	8	1415	1415	NUM
easat-10138	459	9	edelweiss	edelweiss	PROPN
easat-10138	459	10	applied	apply	VERB
easat-10138	459	11	science	science	NOUN
easat-10138	459	12	and	and	CCONJ
easat-10138	459	13	technology	technology	NOUN
easat-10138	459	14	issn	issn	PROPN
easat-10138	459	15	:	:	PUNCT
easat-10138	459	16	2576	2576	NUM
easat-10138	459	17	-	-	SYM
easat-10138	459	18	8484	8484	NUM
easat-10138	459	19	vol	vol	NOUN
easat-10138	459	20	.	.	PROPN
easat-10138	460	1	9	9	NUM
easat-10138	460	2	,	,	PUNCT
easat-10138	460	3	no	no	INTJ
easat-10138	460	4	.	.	NOUN
easat-10138	460	5	9	9	NUM
easat-10138	460	6	:	:	SYM
easat-10138	460	7	1398	1398	NUM
easat-10138	460	8	-	-	SYM
easat-10138	460	9	1415	1415	NUM
easat-10138	460	10	,	,	PUNCT
easat-10138	460	11	2025	2025	NUM
easat-10138	460	12	doi	doi	NOUN
easat-10138	460	13	:	:	PUNCT
easat-10138	460	14	10.55214/2576	10.55214/2576	NUM
easat-10138	460	15	-	-	PUNCT
easat-10138	460	16	8484.v9i9.10138	8484.v9i9.10138	NOUN
easat-10138	461	1	©	©	PROPN
easat-10138	461	2	2025	2025	NUM
easat-10138	461	3	by	by	ADP
easat-10138	461	4	the	the	DET
easat-10138	461	5	authors	author	NOUN
easat-10138	461	6	;	;	PUNCT
easat-10138	461	7	licensee	licensee	PROPN
easat-10138	461	8	learning	learning	NOUN
easat-10138	461	9	gate	gate	NOUN
easat-10138	461	10	[	[	X
easat-10138	461	11	17	17	NUM
easat-10138	461	12	]	]	PUNCT
easat-10138	461	13	j.	j.	PROPN
easat-10138	461	14	b.	b.	PROPN
easat-10138	461	15	awotunde	awotunde	PROPN
easat-10138	461	16	,	,	PUNCT
easat-10138	461	17	r.	r.	NOUN
easat-10138	461	18	panigrahi	panigrahi	PROPN
easat-10138	461	19	,	,	PUNCT
easat-10138	461	20	s.	s.	PROPN
easat-10138	461	21	shukla	shukla	PROPN
easat-10138	461	22	,	,	PUNCT
easat-10138	461	23	b.	b.	PROPN
easat-10138	461	24	panda	panda	NOUN
easat-10138	461	25	,	,	PUNCT
easat-10138	461	26	and	and	CCONJ
easat-10138	461	27	a.	a.	PROPN
easat-10138	461	28	k.	k.	PROPN
easat-10138	461	29	bhoi	bhoi	PROPN
easat-10138	461	30	,	,	PUNCT
easat-10138	461	31	"	"	PUNCT
easat-10138	461	32	big	big	ADJ
easat-10138	461	33	data	datum	NOUN
easat-10138	461	34	analytics	analytic	NOUN
easat-10138	461	35	enabled	enable	VERB
easat-10138	461	36	deep	deep	ADJ
easat-10138	461	37	convolutional	convolutional	ADJ
easat-10138	461	38	neural	neural	ADJ
easat-10138	461	39	network	network	NOUN
easat-10138	461	40	for	for	ADP
easat-10138	461	41	the	the	DET
easat-10138	461	42	diagnosis	diagnosis	NOUN
easat-10138	461	43	of	of	ADP
easat-10138	461	44	cancer	cancer	NOUN
easat-10138	461	45	,	,	PUNCT
easat-10138	461	46	"	"	PUNCT
easat-10138	461	47	knowledge	knowledge	NOUN
easat-10138	461	48	and	and	CCONJ
easat-10138	461	49	information	information	NOUN
easat-10138	461	50	systems	system	NOUN
easat-10138	461	51	,	,	PUNCT
easat-10138	461	52	vol	vol	NOUN
easat-10138	461	53	.	.	PROPN
easat-10138	462	1	66	66	NUM
easat-10138	462	2	,	,	PUNCT
easat-10138	462	3	no	no	INTJ
easat-10138	462	4	.	.	NOUN
easat-10138	462	5	2	2	NUM
easat-10138	462	6	,	,	PUNCT
easat-10138	462	7	pp	pp	ADJ
easat-10138	462	8	.	.	PUNCT
easat-10138	463	1	905	905	NUM
easat-10138	463	2	-	-	SYM
easat-10138	463	3	931	931	NUM
easat-10138	463	4	,	,	PUNCT
easat-10138	463	5	2024	2024	NUM
easat-10138	463	6	.	.	PUNCT
easat-10138	464	1	https://doi.org/10.1007/s10115-023-01971-x	https://doi.org/10.1007/s10115-023-01971-x	PROPN
easat-10138	464	2	[	[	X
easat-10138	464	3	18	18	NUM
easat-10138	464	4	]	]	PUNCT
easat-10138	464	5	m.	m.	NOUN
easat-10138	464	6	gupta	gupta	PROPN
easat-10138	464	7	,	,	PUNCT
easat-10138	464	8	n.	n.	PROPN
easat-10138	464	9	verma	verma	PROPN
easat-10138	464	10	,	,	PUNCT
easat-10138	464	11	n.	n.	PROPN
easat-10138	464	12	sharma	sharma	PROPN
easat-10138	464	13	,	,	PUNCT
easat-10138	464	14	s.	s.	PROPN
easat-10138	464	15	n.	n.	PROPN
easat-10138	464	16	singh	singh	PROPN
easat-10138	464	17	,	,	PUNCT
easat-10138	464	18	r.	r.	PROPN
easat-10138	464	19	brojen	brojen	PROPN
easat-10138	464	20	singh	singh	PROPN
easat-10138	464	21	,	,	PUNCT
easat-10138	464	22	and	and	CCONJ
easat-10138	464	23	s.	s.	PROPN
easat-10138	464	24	k.	k.	PROPN
easat-10138	464	25	sharma	sharma	PROPN
easat-10138	464	26	,	,	PUNCT
easat-10138	464	27	"	"	PUNCT
easat-10138	464	28	deep	deep	ADJ
easat-10138	464	29	transfer	transfer	NOUN
easat-10138	464	30	learning	learn	VERB
easat-10138	464	31	hybrid	hybrid	ADJ
easat-10138	464	32	techniques	technique	NOUN
easat-10138	464	33	for	for	ADP
easat-10138	464	34	precision	precision	NOUN
easat-10138	464	35	in	in	ADP
easat-10138	464	36	breast	breast	NOUN
easat-10138	464	37	cancer	cancer	NOUN
easat-10138	464	38	tumor	tumor	NOUN
easat-10138	464	39	histopathology	histopathology	NOUN
easat-10138	464	40	classification	classification	NOUN
easat-10138	464	41	,	,	PUNCT
easat-10138	464	42	"	"	PUNCT
easat-10138	464	43	health	health	NOUN
easat-10138	464	44	information	information	NOUN
easat-10138	464	45	science	science	NOUN
easat-10138	464	46	and	and	CCONJ
easat-10138	464	47	systems	system	NOUN
easat-10138	464	48	,	,	PUNCT
easat-10138	464	49	vol	vol	NOUN
easat-10138	464	50	.	.	PROPN
easat-10138	464	51	13	13	NUM
easat-10138	464	52	,	,	PUNCT
easat-10138	464	53	no	no	INTJ
easat-10138	464	54	.	.	NOUN
easat-10138	464	55	1	1	NUM
easat-10138	464	56	,	,	PUNCT
easat-10138	464	57	p.	p.	NOUN
easat-10138	464	58	20	20	NUM
easat-10138	464	59	,	,	PUNCT
easat-10138	464	60	2025	2025	NUM
easat-10138	464	61	.	.	PUNCT
easat-10138	465	1	https://doi.org/10.1007/s13755-025-00337-7	https://doi.org/10.1007/s13755-025-00337-7	NUM
easat-10138	466	1	[	[	X
easat-10138	466	2	19	19	NUM
easat-10138	466	3	]	]	X
easat-10138	466	4	c.	c.	PROPN
easat-10138	466	5	shravya	shravya	PROPN
easat-10138	466	6	,	,	PUNCT
easat-10138	466	7	k.	k.	PROPN
easat-10138	466	8	pravalika	pravalika	PROPN
easat-10138	466	9	,	,	PUNCT
easat-10138	466	10	and	and	CCONJ
easat-10138	466	11	s.	s.	PROPN
easat-10138	466	12	subhani	subhani	PROPN
easat-10138	466	13	,	,	PUNCT
easat-10138	466	14	"	"	PUNCT
easat-10138	466	15	prediction	prediction	NOUN
easat-10138	466	16	of	of	ADP
easat-10138	466	17	breast	breast	NOUN
easat-10138	466	18	cancer	cancer	NOUN
easat-10138	466	19	using	use	VERB
easat-10138	466	20	supervised	supervised	ADJ
easat-10138	466	21	machine	machine	NOUN
easat-10138	466	22	learning	learning	NOUN
easat-10138	466	23	techniques	technique	NOUN
easat-10138	466	24	,	,	PUNCT
easat-10138	466	25	"	"	PUNCT
easat-10138	466	26	international	international	ADJ
easat-10138	466	27	journal	journal	NOUN
easat-10138	466	28	of	of	ADP
easat-10138	466	29	innovative	innovative	ADJ
easat-10138	466	30	technology	technology	NOUN
easat-10138	466	31	and	and	CCONJ
easat-10138	466	32	exploring	explore	VERB
easat-10138	466	33	engineering	engineering	NOUN
easat-10138	466	34	,	,	PUNCT
easat-10138	466	35	vol	vol	NOUN
easat-10138	466	36	.	.	PROPN
easat-10138	466	37	8	8	NUM
easat-10138	466	38	,	,	PUNCT
easat-10138	466	39	no	no	INTJ
easat-10138	466	40	.	.	NOUN
easat-10138	466	41	6	6	NUM
easat-10138	466	42	,	,	PUNCT
easat-10138	466	43	pp	pp	ADJ
easat-10138	466	44	.	.	PUNCT
easat-10138	467	1	1106	1106	NUM
easat-10138	467	2	-	-	SYM
easat-10138	467	3	1110	1110	NUM
easat-10138	467	4	,	,	PUNCT
easat-10138	467	5	2019	2019	NUM
easat-10138	467	6	.	.	PUNCT
easat-10138	468	1	[	[	X
easat-10138	468	2	20	20	NUM
easat-10138	468	3	]	]	PUNCT
easat-10138	468	4	l.	l.	PROPN
easat-10138	468	5	hao	hao	PROPN
easat-10138	468	6	,	,	PUNCT
easat-10138	468	7	y.	y.	PROPN
easat-10138	468	8	chen	chen	PROPN
easat-10138	468	9	,	,	PUNCT
easat-10138	468	10	x.	x.	PROPN
easat-10138	468	11	su	su	PROPN
easat-10138	468	12	,	,	PUNCT
easat-10138	468	13	and	and	CCONJ
easat-10138	468	14	b.	b.	PROPN
easat-10138	468	15	ma	ma	PROPN
easat-10138	468	16	,	,	PUNCT
easat-10138	468	17	"	"	PUNCT
easat-10138	468	18	application	application	NOUN
easat-10138	468	19	of	of	ADP
easat-10138	468	20	ultrasound	ultrasound	ADJ
easat-10138	468	21	radiomics	radiomic	NOUN
easat-10138	468	22	in	in	ADP
easat-10138	468	23	differentiating	differentiate	VERB
easat-10138	468	24	benign	benign	NOUN
easat-10138	468	25	from	from	ADP
easat-10138	468	26	malignant	malignant	ADJ
easat-10138	468	27	breast	breast	NOUN
easat-10138	468	28	nodules	nodule	NOUN
easat-10138	468	29	in	in	ADP
easat-10138	468	30	women	woman	NOUN
easat-10138	468	31	with	with	ADP
easat-10138	468	32	post	post	ADJ
easat-10138	468	33	-	-	ADJ
easat-10138	468	34	silicone	silicone	ADJ
easat-10138	468	35	breast	breast	NOUN
easat-10138	468	36	augmentation	augmentation	NOUN
easat-10138	468	37	,	,	PUNCT
easat-10138	468	38	"	"	PUNCT
easat-10138	468	39	current	current	ADJ
easat-10138	468	40	oncology	oncology	NOUN
easat-10138	468	41	,	,	PUNCT
easat-10138	468	42	vol	vol	NOUN
easat-10138	468	43	.	.	PROPN
easat-10138	468	44	32	32	NUM
easat-10138	468	45	,	,	PUNCT
easat-10138	468	46	no	no	INTJ
easat-10138	468	47	.	.	NOUN
easat-10138	468	48	1	1	NUM
easat-10138	468	49	,	,	PUNCT
easat-10138	468	50	p.	p.	NOUN
easat-10138	468	51	29	29	NUM
easat-10138	468	52	,	,	PUNCT
easat-10138	468	53	2025	2025	NUM
easat-10138	468	54	.	.	PUNCT
easat-10138	469	1	https://doi.org/10.3390/curroncol32010029	https://doi.org/10.3390/curroncol32010029	PROPN
easat-10138	469	2	[	[	X
easat-10138	469	3	21	21	NUM
easat-10138	469	4	]	]	X
easat-10138	469	5	b.	b.	PROPN
easat-10138	469	6	m.	m.	PROPN
easat-10138	469	7	kanber	kanber	PROPN
easat-10138	469	8	,	,	PUNCT
easat-10138	469	9	a.	a.	PROPN
easat-10138	469	10	al	al	PROPN
easat-10138	469	11	smadi	smadi	PROPN
easat-10138	469	12	,	,	PUNCT
easat-10138	469	13	n.	n.	PROPN
easat-10138	469	14	f.	f.	PROPN
easat-10138	469	15	noaman	noaman	PROPN
easat-10138	469	16	,	,	PUNCT
easat-10138	469	17	b.	b.	PROPN
easat-10138	469	18	liu	liu	PROPN
easat-10138	469	19	,	,	PUNCT
easat-10138	469	20	s.	s.	PROPN
easat-10138	469	21	gou	gou	PROPN
easat-10138	469	22	,	,	PUNCT
easat-10138	469	23	and	and	CCONJ
easat-10138	469	24	m.	m.	PROPN
easat-10138	469	25	k.	k.	PROPN
easat-10138	469	26	alsmadi	alsmadi	PROPN
easat-10138	469	27	,	,	PUNCT
easat-10138	469	28	"	"	PUNCT
easat-10138	469	29	lightgbm	lightgbm	ADJ
easat-10138	469	30	:	:	PUNCT
easat-10138	469	31	a	a	DET
easat-10138	469	32	leading	lead	VERB
easat-10138	469	33	force	force	NOUN
easat-10138	469	34	in	in	ADP
easat-10138	469	35	breast	breast	NOUN
easat-10138	469	36	cancer	cancer	NOUN
easat-10138	469	37	diagnosis	diagnosis	NOUN
easat-10138	469	38	through	through	ADP
easat-10138	469	39	machine	machine	NOUN
easat-10138	469	40	learning	learning	NOUN
easat-10138	469	41	and	and	CCONJ
easat-10138	469	42	image	image	NOUN
easat-10138	469	43	processing	processing	NOUN
easat-10138	469	44	,	,	PUNCT
easat-10138	469	45	"	"	PUNCT
easat-10138	469	46	ieee	ieee	NOUN
easat-10138	469	47	access	access	NOUN
easat-10138	469	48	,	,	PUNCT
easat-10138	469	49	vol	vol	NOUN
easat-10138	469	50	.	.	PROPN
easat-10138	470	1	12	12	NUM
easat-10138	470	2	,	,	PUNCT
easat-10138	470	3	pp	pp	ADJ
easat-10138	470	4	.	.	PUNCT
easat-10138	471	1	39811	39811	NUM
easat-10138	471	2	-	-	SYM
easat-10138	471	3	39832	39832	NUM
easat-10138	471	4	,	,	PUNCT
easat-10138	471	5	2024	2024	NUM
easat-10138	471	6	.	.	PUNCT
easat-10138	472	1	https://doi.org/10.1109/access.2024.3375755	https://doi.org/10.1109/access.2024.3375755	PROPN
easat-10138	472	2	[	[	X
easat-10138	472	3	22	22	NUM
easat-10138	472	4	]	]	X
easat-10138	472	5	y.	y.	PROPN
easat-10138	472	6	yan	yan	PROPN
easat-10138	472	7	,	,	PUNCT
easat-10138	472	8	p.-h	p.-h	NOUN
easat-10138	472	9	.	.	PUNCT
easat-10138	473	1	conze	conze	NOUN
easat-10138	473	2	,	,	PUNCT
easat-10138	473	3	m.	m.	NOUN
easat-10138	473	4	lamard	lamard	NOUN
easat-10138	473	5	,	,	PUNCT
easat-10138	473	6	g.	g.	PROPN
easat-10138	473	7	quellec	quellec	PROPN
easat-10138	473	8	,	,	PUNCT
easat-10138	473	9	b.	b.	PROPN
easat-10138	473	10	cochener	cochener	NOUN
easat-10138	473	11	,	,	PUNCT
easat-10138	473	12	and	and	CCONJ
easat-10138	473	13	g.	g.	PROPN
easat-10138	473	14	coatrieux	coatrieux	PROPN
easat-10138	473	15	,	,	PUNCT
easat-10138	473	16	"	"	PUNCT
easat-10138	473	17	towards	towards	ADP
easat-10138	473	18	improved	improve	VERB
easat-10138	473	19	breast	breast	NOUN
easat-10138	473	20	mass	mass	NOUN
easat-10138	473	21	detection	detection	NOUN
easat-10138	473	22	using	use	VERB
easat-10138	473	23	dual	dual	ADJ
easat-10138	473	24	-	-	PUNCT
easat-10138	473	25	view	view	NOUN
easat-10138	473	26	mammogram	mammogram	NOUN
easat-10138	473	27	matching	matching	NOUN
easat-10138	473	28	,	,	PUNCT
easat-10138	473	29	"	"	PUNCT
easat-10138	473	30	medical	medical	ADJ
easat-10138	473	31	image	image	NOUN
easat-10138	473	32	analysis	analysis	NOUN
easat-10138	473	33	,	,	PUNCT
easat-10138	473	34	vol	vol	NOUN
easat-10138	473	35	.	.	PROPN
easat-10138	473	36	71	71	NUM
easat-10138	473	37	,	,	PUNCT
easat-10138	473	38	p.	p.	NOUN
easat-10138	473	39	102083	102083	NUM
easat-10138	473	40	,	,	PUNCT
easat-10138	473	41	2021	2021	NUM
easat-10138	473	42	.	.	PUNCT
easat-10138	474	1	https://doi.org/10.1016/j.media.2021.102083	https://doi.org/10.1016/j.media.2021.102083	NOUN
easat-10138	474	2	[	[	X
easat-10138	474	3	23	23	NUM
easat-10138	474	4	]	]	PUNCT
easat-10138	474	5	m.	m.	NOUN
easat-10138	474	6	ghorbian	ghorbian	PROPN
easat-10138	474	7	and	and	CCONJ
easat-10138	474	8	s.	s.	PROPN
easat-10138	474	9	ghorbian	ghorbian	PROPN
easat-10138	474	10	,	,	PUNCT
easat-10138	474	11	"	"	PUNCT
easat-10138	474	12	usefulness	usefulness	NOUN
easat-10138	474	13	of	of	ADP
easat-10138	474	14	machine	machine	NOUN
easat-10138	474	15	learning	learning	NOUN
easat-10138	474	16	and	and	CCONJ
easat-10138	474	17	deep	deep	ADJ
easat-10138	474	18	learning	learning	NOUN
easat-10138	474	19	approaches	approach	NOUN
easat-10138	474	20	in	in	ADP
easat-10138	474	21	screening	screening	NOUN
easat-10138	474	22	and	and	CCONJ
easat-10138	474	23	early	early	ADJ
easat-10138	474	24	detection	detection	NOUN
easat-10138	474	25	of	of	ADP
easat-10138	474	26	breast	breast	NOUN
easat-10138	474	27	cancer	cancer	NOUN
easat-10138	474	28	,	,	PUNCT
easat-10138	474	29	"	"	PUNCT
easat-10138	474	30	heliyon	heliyon	NOUN
easat-10138	474	31	,	,	PUNCT
easat-10138	474	32	vol	vol	NOUN
easat-10138	474	33	.	.	PROPN
easat-10138	474	34	9	9	NUM
easat-10138	474	35	,	,	PUNCT
easat-10138	474	36	no	no	INTJ
easat-10138	474	37	.	.	NOUN
easat-10138	474	38	12	12	NUM
easat-10138	474	39	,	,	PUNCT
easat-10138	474	40	p.	p.	NOUN
easat-10138	474	41	e22427	e22427	NOUN
easat-10138	474	42	,	,	PUNCT
easat-10138	474	43	2023	2023	NUM
easat-10138	474	44	.	.	PUNCT
easat-10138	475	1	https://doi.org/10.1016/j.heliyon.2023.e22427	https://doi.org/10.1016/j.heliyon.2023.e22427	PRON
easat-10138	476	1	[	[	X
easat-10138	476	2	24	24	NUM
easat-10138	476	3	]	]	PUNCT
easat-10138	476	4	s.	s.	PROPN
easat-10138	476	5	zarif	zarif	PROPN
easat-10138	476	6	,	,	PUNCT
easat-10138	476	7	h.	h.	PROPN
easat-10138	476	8	abdulkader	abdulkader	PROPN
easat-10138	476	9	,	,	PUNCT
easat-10138	476	10	i.	i.	PROPN
easat-10138	476	11	elaraby	elaraby	PROPN
easat-10138	476	12	,	,	PUNCT
easat-10138	476	13	a.	a.	NOUN
easat-10138	476	14	alharbi	alharbi	PROPN
easat-10138	476	15	,	,	PUNCT
easat-10138	476	16	w.	w.	PROPN
easat-10138	476	17	s.	s.	PROPN
easat-10138	476	18	elkilani	elkilani	PROPN
easat-10138	476	19	,	,	PUNCT
easat-10138	476	20	and	and	CCONJ
easat-10138	476	21	p.	p.	PROPN
easat-10138	476	22	pławiak	pławiak	PROPN
easat-10138	476	23	,	,	PUNCT
easat-10138	476	24	"	"	PUNCT
easat-10138	476	25	using	use	VERB
easat-10138	476	26	hybrid	hybrid	ADJ
easat-10138	476	27	pre	pre	ADJ
easat-10138	476	28	-	-	ADJ
easat-10138	476	29	trained	train	VERB
easat-10138	476	30	models	model	NOUN
easat-10138	476	31	for	for	ADP
easat-10138	476	32	breast	breast	NOUN
easat-10138	476	33	cancer	cancer	NOUN
easat-10138	476	34	detection	detection	NOUN
easat-10138	476	35	,	,	PUNCT
easat-10138	476	36	"	"	PUNCT
easat-10138	476	37	plos	plos	PROPN
easat-10138	476	38	one	one	NUM
easat-10138	476	39	,	,	PUNCT
easat-10138	476	40	vol	vol	NOUN
easat-10138	476	41	.	.	PROPN
easat-10138	476	42	19	19	NUM
easat-10138	476	43	,	,	PUNCT
easat-10138	476	44	no	no	INTJ
easat-10138	476	45	.	.	NOUN
easat-10138	476	46	1	1	NUM
easat-10138	476	47	,	,	PUNCT
easat-10138	476	48	p.	p.	NOUN
easat-10138	476	49	e0296912	e0296912	PROPN
easat-10138	476	50	,	,	PUNCT
easat-10138	476	51	2024	2024	NUM
easat-10138	476	52	.	.	PUNCT
easat-10138	477	1	https://doi.org/10.1371/journal.pone.0296912	https://doi.org/10.1371/journal.pone.0296912	PROPN
easat-10138	478	1	[	[	X
easat-10138	478	2	25	25	NUM
easat-10138	478	3	]	]	PUNCT
easat-10138	478	4	q.	q.	PROPN
easat-10138	478	5	fu	fu	PROPN
easat-10138	478	6	,	,	PUNCT
easat-10138	478	7	w.	w.	PROPN
easat-10138	478	8	xu	xu	PROPN
easat-10138	478	9	,	,	PUNCT
easat-10138	478	10	x.	x.	PROPN
easat-10138	478	11	zhao	zhao	PROPN
easat-10138	478	12	,	,	PUNCT
easat-10138	478	13	m.	m.	NOUN
easat-10138	478	14	bu	bu	PROPN
easat-10138	478	15	,	,	PUNCT
easat-10138	478	16	q.	q.	PROPN
easat-10138	478	17	yuan	yuan	PROPN
easat-10138	478	18	,	,	PUNCT
easat-10138	478	19	and	and	CCONJ
easat-10138	478	20	d.	d.	PROPN
easat-10138	478	21	niu	niu	PROPN
easat-10138	478	22	,	,	PUNCT
easat-10138	478	23	"	"	PUNCT
easat-10138	478	24	the	the	DET
easat-10138	478	25	microstructure	microstructure	NOUN
easat-10138	478	26	and	and	CCONJ
easat-10138	478	27	durability	durability	NOUN
easat-10138	478	28	of	of	ADP
easat-10138	478	29	fly	fly	NOUN
easat-10138	478	30	ash‐based	ash‐base	VERB
easat-10138	478	31	geopolymer	geopolymer	ADJ
easat-10138	478	32	concrete	concrete	NOUN
easat-10138	478	33	:	:	PUNCT
easat-10138	478	34	a	a	DET
easat-10138	478	35	review	review	NOUN
easat-10138	478	36	,	,	PUNCT
easat-10138	478	37	"	"	PUNCT
easat-10138	478	38	ceramics	ceramic	NOUN
easat-10138	478	39	international	international	ADJ
easat-10138	478	40	,	,	PUNCT
easat-10138	478	41	vol	vol	NOUN
easat-10138	478	42	.	.	PROPN
easat-10138	479	1	47	47	NUM
easat-10138	479	2	,	,	PUNCT
easat-10138	479	3	pp	pp	ADJ
easat-10138	479	4	.	.	PUNCT
easat-10138	480	1	29550–29566	29550–29566	NUM
easat-10138	480	2	,	,	PUNCT
easat-10138	480	3	2021	2021	NUM
easat-10138	480	4	.	.	PUNCT
easat-10138	481	1	https://doi.org/10.1007/s10115-023-01971-x	https://doi.org/10.1007/s10115-023-01971-x	PROPN
easat-10138	481	2	https://doi.org/10.1007/s13755-025-00337-7	https://doi.org/10.1007/s13755-025-00337-7	NUM
easat-10138	481	3	https://doi.org/10.3390/curroncol32010029	https://doi.org/10.3390/curroncol32010029	PROPN
easat-10138	481	4	https://doi.org/10.1109/access.2024.3375755	https://doi.org/10.1109/access.2024.3375755	PROPN
easat-10138	481	5	https://doi.org/10.1016/j.media.2021.102083	https://doi.org/10.1016/j.media.2021.102083	PROPN
easat-10138	481	6	https://doi.org/10.1016/j.heliyon.2023.e22427	https://doi.org/10.1016/j.heliyon.2023.e22427	INTJ
easat-10138	481	7	https://doi.org/10.1371/journal.pone.0296912	https://doi.org/10.1371/journal.pone.0296912	INTJ