id	sid	tid	token	lemma	pos
fcis-14856	1	1	frontiers	frontier	NOUN
fcis-14856	1	2	in	in	ADP
fcis-14856	1	3	computing	computing	NOUN
fcis-14856	1	4	and	and	CCONJ
fcis-14856	1	5	intelligent	intelligent	ADJ
fcis-14856	1	6	systems	system	NOUN
fcis-14856	1	7	issn	issn	VERB
fcis-14856	1	8	:	:	PUNCT
fcis-14856	1	9	2832	2832	NUM
fcis-14856	1	10	-	-	SYM
fcis-14856	1	11	6024	6024	NUM
fcis-14856	1	12	|	|	NOUN
fcis-14856	1	13	vol	vol	NOUN
fcis-14856	1	14	.	.	PROPN
fcis-14856	2	1	6	6	NUM
fcis-14856	2	2	,	,	PUNCT
fcis-14856	2	3	no	no	INTJ
fcis-14856	2	4	.	.	NOUN
fcis-14856	2	5	1	1	NUM
fcis-14856	2	6	,	,	PUNCT
fcis-14856	2	7	2023	2023	NUM
fcis-14856	2	8	99	99	NUM
fcis-14856	2	9	deep	deep	ADJ
fcis-14856	2	10	learning	learning	NOUN
fcis-14856	2	11	model	model	PROPN
fcis-14856	2	12	aids	aids	PROPN
fcis-14856	2	13	breast	breast	PROPN
fcis-14856	2	14	cancer	cancer	NOUN
fcis-14856	2	15	detection	detection	PROPN
fcis-14856	2	16	quan	quan	PROPN
fcis-14856	2	17	zhang	zhang	PROPN
fcis-14856	2	18	1	1	NUM
fcis-14856	2	19	,	,	PUNCT
fcis-14856	2	20	*	*	PUNCT
fcis-14856	2	21	,	,	PUNCT
fcis-14856	2	22	guoqing	guoqe	VERB
fcis-14856	2	23	cai	cai	X
fcis-14856	2	24	1	1	NUM
fcis-14856	2	25	,	,	PUNCT
fcis-14856	2	26	meiqing	meiqe	VERB
fcis-14856	2	27	cai	cai	X
fcis-14856	2	28	2	2	NUM
fcis-14856	2	29	,	,	PUNCT
fcis-14856	2	30	jili	jili	NOUN
fcis-14856	2	31	qian	qian	PROPN
fcis-14856	2	32	1	1	NUM
fcis-14856	2	33	,	,	PUNCT
fcis-14856	2	34	tianbo	tianbo	PRON
fcis-14856	2	35	song	song	NOUN
fcis-14856	2	36	3	3	NUM
fcis-14856	2	37	1	1	NUM
fcis-14856	2	38	information	information	NOUN
fcis-14856	2	39	studies	study	NOUN
fcis-14856	2	40	,	,	PUNCT
fcis-14856	2	41	trine	trine	PROPN
fcis-14856	2	42	university	university	NOUN
fcis-14856	2	43	,	,	PUNCT
fcis-14856	2	44	phoenix	phoenix	PROPN
fcis-14856	2	45	az	az	PROPN
fcis-14856	2	46	,	,	PUNCT
fcis-14856	2	47	usa	usa	PROPN
fcis-14856	2	48	2	2	NUM
fcis-14856	2	49	computer	computer	NOUN
fcis-14856	2	50	science	science	NOUN
fcis-14856	2	51	,	,	PUNCT
fcis-14856	2	52	independent	independent	ADJ
fcis-14856	2	53	researcher	researcher	NOUN
fcis-14856	2	54	,	,	PUNCT
fcis-14856	2	55	nanchang	nanchang	PROPN
fcis-14856	2	56	,	,	PUNCT
fcis-14856	2	57	china	china	PROPN
fcis-14856	2	58	3	3	NUM
fcis-14856	2	59	computer	computer	NOUN
fcis-14856	2	60	engineering	engineering	NOUN
fcis-14856	2	61	,	,	PUNCT
fcis-14856	2	62	arizona	arizona	PROPN
fcis-14856	2	63	state	state	PROPN
fcis-14856	2	64	university	university	PROPN
fcis-14856	2	65	,	,	PUNCT
fcis-14856	2	66	tempe	tempe	PROPN
fcis-14856	2	67	,	,	PUNCT
fcis-14856	2	68	az	az	PROPN
fcis-14856	2	69	,	,	PUNCT
fcis-14856	2	70	usa	usa	PROPN
fcis-14856	2	71	*	*	PUNCT
fcis-14856	2	72	corresponding	correspond	VERB
fcis-14856	2	73	author	author	NOUN
fcis-14856	2	74	:	:	PUNCT
fcis-14856	2	75	quan	quan	PROPN
fcis-14856	2	76	zhang	zhang	PROPN
fcis-14856	2	77	(	(	PUNCT
fcis-14856	2	78	email	email	NOUN
fcis-14856	2	79	:	:	PUNCT
fcis-14856	2	80	wayne168zhang@gmail.com	wayne168zhang@gmail.com	PROPN
fcis-14856	2	81	)	)	PUNCT
fcis-14856	2	82	abstract	abstract	NOUN
fcis-14856	2	83	:	:	PUNCT
fcis-14856	2	84	breast	breast	NOUN
fcis-14856	2	85	cancer	cancer	NOUN
fcis-14856	2	86	,	,	PUNCT
fcis-14856	2	87	a	a	DET
fcis-14856	2	88	lumpy	lumpy	ADJ
fcis-14856	2	89	nodule	nodule	NOUN
fcis-14856	2	90	or	or	CCONJ
fcis-14856	2	91	granular	granular	ADJ
fcis-14856	2	92	calcified	calcified	ADJ
fcis-14856	2	93	tissue	tissue	NOUN
fcis-14856	2	94	caused	cause	VERB
fcis-14856	2	95	by	by	ADP
fcis-14856	2	96	cancerous	cancerous	ADJ
fcis-14856	2	97	changes	change	NOUN
fcis-14856	2	98	in	in	ADP
fcis-14856	2	99	chest	chest	NOUN
fcis-14856	2	100	tissue	tissue	NOUN
fcis-14856	2	101	,	,	PUNCT
fcis-14856	2	102	has	have	AUX
fcis-14856	2	103	become	become	VERB
fcis-14856	2	104	one	one	NUM
fcis-14856	2	105	of	of	ADP
fcis-14856	2	106	the	the	DET
fcis-14856	2	107	most	most	ADV
fcis-14856	2	108	prevalent	prevalent	ADJ
fcis-14856	2	109	cancers	cancer	NOUN
fcis-14856	2	110	.	.	PUNCT
fcis-14856	3	1	due	due	ADP
fcis-14856	3	2	to	to	ADP
fcis-14856	3	3	the	the	DET
fcis-14856	3	4	location	location	NOUN
fcis-14856	3	5	and	and	CCONJ
fcis-14856	3	6	structure	structure	NOUN
fcis-14856	3	7	of	of	ADP
fcis-14856	3	8	the	the	DET
fcis-14856	3	9	tumor	tumor	NOUN
fcis-14856	3	10	,	,	PUNCT
fcis-14856	3	11	it	it	PRON
fcis-14856	3	12	can	can	AUX
fcis-14856	3	13	be	be	AUX
fcis-14856	3	14	detected	detect	VERB
fcis-14856	3	15	directly	directly	ADV
fcis-14856	3	16	by	by	ADP
fcis-14856	3	17	ultrasound	ultrasound	NOUN
fcis-14856	3	18	or	or	CCONJ
fcis-14856	3	19	xray	xray	VERB
fcis-14856	3	20	and	and	CCONJ
fcis-14856	3	21	is	be	AUX
fcis-14856	3	22	less	less	ADV
fcis-14856	3	23	likely	likely	ADJ
fcis-14856	3	24	to	to	PART
fcis-14856	3	25	spread	spread	VERB
fcis-14856	3	26	to	to	ADP
fcis-14856	3	27	other	other	ADJ
fcis-14856	3	28	parts	part	NOUN
fcis-14856	3	29	of	of	ADP
fcis-14856	3	30	the	the	DET
fcis-14856	3	31	body	body	NOUN
fcis-14856	3	32	than	than	ADP
fcis-14856	3	33	tumors	tumor	NOUN
fcis-14856	3	34	in	in	ADP
fcis-14856	3	35	other	other	ADJ
fcis-14856	3	36	parts	part	NOUN
fcis-14856	3	37	of	of	ADP
fcis-14856	3	38	the	the	DET
fcis-14856	3	39	body	body	NOUN
fcis-14856	3	40	.	.	PUNCT
fcis-14856	4	1	considering	consider	VERB
fcis-14856	4	2	the	the	DET
fcis-14856	4	3	huge	huge	ADJ
fcis-14856	4	4	number	number	NOUN
fcis-14856	4	5	of	of	ADP
fcis-14856	4	6	sick	sick	ADJ
fcis-14856	4	7	people	people	NOUN
fcis-14856	4	8	,	,	PUNCT
fcis-14856	4	9	the	the	DET
fcis-14856	4	10	resources	resource	NOUN
fcis-14856	4	11	required	require	VERB
fcis-14856	4	12	for	for	ADP
fcis-14856	4	13	a	a	DET
fcis-14856	4	14	full	full	ADJ
fcis-14856	4	15	census	census	NOUN
fcis-14856	4	16	would	would	AUX
fcis-14856	4	17	be	be	AUX
fcis-14856	4	18	enormous	enormous	ADJ
fcis-14856	4	19	,	,	PUNCT
fcis-14856	4	20	but	but	CCONJ
fcis-14856	4	21	thanks	thank	NOUN
fcis-14856	4	22	to	to	ADP
fcis-14856	4	23	the	the	DET
fcis-14856	4	24	rapid	rapid	ADJ
fcis-14856	4	25	development	development	NOUN
fcis-14856	4	26	of	of	ADP
fcis-14856	4	27	medical	medical	ADJ
fcis-14856	4	28	image	image	NOUN
fcis-14856	4	29	processing	processing	NOUN
fcis-14856	4	30	technology	technology	NOUN
fcis-14856	4	31	in	in	ADP
fcis-14856	4	32	recent	recent	ADJ
fcis-14856	4	33	years	year	NOUN
fcis-14856	4	34	,	,	PUNCT
fcis-14856	4	35	assisted	assist	VERB
fcis-14856	4	36	diagnosis	diagnosis	NOUN
fcis-14856	4	37	through	through	ADP
fcis-14856	4	38	deep	deep	ADJ
fcis-14856	4	39	learning	learning	NOUN
fcis-14856	4	40	models	model	NOUN
fcis-14856	4	41	has	have	AUX
fcis-14856	4	42	gradually	gradually	ADV
fcis-14856	4	43	become	become	VERB
fcis-14856	4	44	more	more	ADV
fcis-14856	4	45	widely	widely	ADV
fcis-14856	4	46	accepted	accept	VERB
fcis-14856	4	47	.	.	PUNCT
fcis-14856	5	1	for	for	ADP
fcis-14856	5	2	detection	detection	NOUN
fcis-14856	5	3	models	model	NOUN
fcis-14856	5	4	,	,	PUNCT
fcis-14856	5	5	higher	high	ADJ
fcis-14856	5	6	accuracy	accuracy	NOUN
fcis-14856	5	7	means	mean	VERB
fcis-14856	5	8	lower	low	ADJ
fcis-14856	5	9	misdiagnosis	misdiagnosis	NOUN
fcis-14856	5	10	rates	rate	NOUN
fcis-14856	5	11	and	and	CCONJ
fcis-14856	5	12	timely	timely	ADJ
fcis-14856	5	13	treatment	treatment	NOUN
fcis-14856	5	14	for	for	ADP
fcis-14856	5	15	patients	patient	NOUN
fcis-14856	5	16	.	.	PUNCT
fcis-14856	6	1	therefore	therefore	ADV
fcis-14856	6	2	,	,	PUNCT
fcis-14856	6	3	in	in	ADP
fcis-14856	6	4	this	this	DET
fcis-14856	6	5	paper	paper	NOUN
fcis-14856	6	6	,	,	PUNCT
fcis-14856	6	7	we	we	PRON
fcis-14856	6	8	first	first	ADV
fcis-14856	6	9	specify	specify	VERB
fcis-14856	6	10	the	the	DET
fcis-14856	6	11	diagnose	diagnose	NOUN
fcis-14856	6	12	as	as	ADP
fcis-14856	6	13	a	a	DET
fcis-14856	6	14	binary	binary	ADJ
fcis-14856	6	15	classification	classification	NOUN
fcis-14856	6	16	problem	problem	NOUN
fcis-14856	6	17	and	and	CCONJ
fcis-14856	6	18	then	then	ADV
fcis-14856	6	19	introduce	introduce	VERB
fcis-14856	6	20	a	a	DET
fcis-14856	6	21	new	new	ADJ
fcis-14856	6	22	pooling	pool	VERB
fcis-14856	6	23	scheme	scheme	NOUN
fcis-14856	6	24	and	and	CCONJ
fcis-14856	6	25	training	training	NOUN
fcis-14856	6	26	method	method	NOUN
fcis-14856	6	27	to	to	PART
fcis-14856	6	28	achieve	achieve	VERB
fcis-14856	6	29	better	well	ADJ
fcis-14856	6	30	results	result	NOUN
fcis-14856	6	31	compared	compare	VERB
fcis-14856	6	32	to	to	ADP
fcis-14856	6	33	the	the	DET
fcis-14856	6	34	traditional	traditional	ADJ
fcis-14856	6	35	network	network	NOUN
fcis-14856	6	36	backbone	backbone	NOUN
fcis-14856	6	37	in	in	ADP
fcis-14856	6	38	the	the	DET
fcis-14856	6	39	past	past	NOUN
fcis-14856	6	40	.	.	PUNCT
fcis-14856	7	1	keywords	keyword	NOUN
fcis-14856	7	2	:	:	PUNCT
fcis-14856	7	3	breast	breast	NOUN
fcis-14856	7	4	cancer	cancer	NOUN
fcis-14856	7	5	detection	detection	NOUN
fcis-14856	7	6	;	;	PUNCT
fcis-14856	7	7	medical	medical	ADJ
fcis-14856	7	8	image	image	NOUN
fcis-14856	7	9	analyze	analyze	NOUN
fcis-14856	7	10	;	;	PUNCT
fcis-14856	7	11	vision	vision	NOUN
fcis-14856	7	12	model	model	NOUN
fcis-14856	7	13	;	;	PUNCT
fcis-14856	7	14	deep	deep	ADJ
fcis-14856	7	15	learning	learning	NOUN
fcis-14856	7	16	.	.	PUNCT
fcis-14856	8	1	1	1	X
fcis-14856	8	2	.	.	X
fcis-14856	8	3	introduction	introduction	NOUN
fcis-14856	8	4	breast	breast	NOUN
fcis-14856	8	5	cancer	cancer	NOUN
fcis-14856	8	6	stands	stand	VERB
fcis-14856	8	7	out	out	ADP
fcis-14856	8	8	as	as	ADP
fcis-14856	8	9	one	one	NUM
fcis-14856	8	10	of	of	ADP
fcis-14856	8	11	the	the	DET
fcis-14856	8	12	most	most	ADV
fcis-14856	8	13	prevalent	prevalent	ADJ
fcis-14856	8	14	cancers	cancer	NOUN
fcis-14856	8	15	globally	globally	ADV
fcis-14856	8	16	,	,	PUNCT
fcis-14856	8	17	constituting	constitute	VERB
fcis-14856	8	18	11.7	11.7	NUM
fcis-14856	8	19	%	%	NOUN
fcis-14856	8	20	of	of	ADP
fcis-14856	8	21	all	all	DET
fcis-14856	8	22	new	new	ADJ
fcis-14856	8	23	cancer	cancer	NOUN
fcis-14856	8	24	cases	case	NOUN
fcis-14856	8	25	worldwide	worldwide	ADV
fcis-14856	8	26	.	.	PUNCT
fcis-14856	9	1	characterized	characterize	VERB
fcis-14856	9	2	by	by	ADP
fcis-14856	9	3	clinical	clinical	ADJ
fcis-14856	9	4	manifestations	manifestation	NOUN
fcis-14856	9	5	such	such	ADJ
fcis-14856	9	6	as	as	ADP
fcis-14856	9	7	discernible	discernible	ADJ
fcis-14856	9	8	breast	breast	NOUN
fcis-14856	9	9	lumps	lump	NOUN
fcis-14856	9	10	or	or	CCONJ
fcis-14856	9	11	anomalous	anomalous	ADJ
fcis-14856	9	12	thickening	thickening	NOUN
fcis-14856	9	13	distinct	distinct	NOUN
fcis-14856	9	14	from	from	ADP
fcis-14856	9	15	surrounding	surround	VERB
fcis-14856	9	16	tissues	tissue	NOUN
fcis-14856	9	17	,	,	PUNCT
fcis-14856	9	18	coupled	couple	VERB
fcis-14856	9	19	with	with	ADP
fcis-14856	9	20	alterations	alteration	NOUN
fcis-14856	9	21	in	in	ADP
fcis-14856	9	22	breast	breast	NOUN
fcis-14856	9	23	size	size	NOUN
fcis-14856	9	24	,	,	PUNCT
fcis-14856	9	25	shape	shape	NOUN
fcis-14856	9	26	,	,	PUNCT
fcis-14856	9	27	or	or	CCONJ
fcis-14856	9	28	appearance	appearance	NOUN
fcis-14856	9	29	,	,	PUNCT
fcis-14856	9	30	breast	breast	NOUN
fcis-14856	9	31	cancer	cancer	NOUN
fcis-14856	9	32	remains	remain	VERB
fcis-14856	9	33	a	a	DET
fcis-14856	9	34	critical	critical	ADJ
fcis-14856	9	35	health	health	NOUN
fcis-14856	9	36	concern	concern	NOUN
fcis-14856	9	37	.	.	PUNCT
fcis-14856	10	1	the	the	DET
fcis-14856	10	2	disease	disease	NOUN
fcis-14856	10	3	is	be	AUX
fcis-14856	10	4	amenable	amenable	ADJ
fcis-14856	10	5	to	to	ADP
fcis-14856	10	6	early	early	ADV
fcis-14856	10	7	to	to	ADP
fcis-14856	10	8	mid	mid	ADJ
fcis-14856	10	9	-	-	NOUN
fcis-14856	10	10	stage	stage	NOUN
fcis-14856	10	11	diagnosis	diagnosis	NOUN
fcis-14856	10	12	,	,	PUNCT
fcis-14856	10	13	primarily	primarily	ADV
fcis-14856	10	14	involving	involve	VERB
fcis-14856	10	15	the	the	DET
fcis-14856	10	16	scrutiny	scrutiny	NOUN
fcis-14856	10	17	of	of	ADP
fcis-14856	10	18	burr	burr	NOUN
fcis-14856	10	19	masses	masse	NOUN
fcis-14856	10	20	and	and	CCONJ
fcis-14856	10	21	clusters	cluster	NOUN
fcis-14856	10	22	of	of	ADP
fcis-14856	10	23	minute	minute	ADJ
fcis-14856	10	24	calcified	calcified	ADJ
fcis-14856	10	25	material	material	NOUN
fcis-14856	10	26	through	through	ADP
fcis-14856	10	27	x	x	ADJ
fcis-14856	10	28	-	-	NOUN
fcis-14856	10	29	ray	ray	NOUN
fcis-14856	10	30	diffraction	diffraction	NOUN
fcis-14856	10	31	analysis	analysis	NOUN
fcis-14856	10	32	and	and	CCONJ
fcis-14856	10	33	multispectral	multispectral	ADJ
fcis-14856	10	34	ultrasound	ultrasound	NOUN
fcis-14856	10	35	analysis	analysis	NOUN
fcis-14856	10	36	.	.	PUNCT
fcis-14856	11	1	in	in	ADP
fcis-14856	11	2	recent	recent	ADJ
fcis-14856	11	3	years	year	NOUN
fcis-14856	11	4	,	,	PUNCT
fcis-14856	11	5	the	the	DET
fcis-14856	11	6	paradigm	paradigm	NOUN
fcis-14856	11	7	of	of	ADP
fcis-14856	11	8	breast	breast	NOUN
fcis-14856	11	9	cancer	cancer	NOUN
fcis-14856	11	10	detection	detection	NOUN
fcis-14856	11	11	has	have	AUX
fcis-14856	11	12	witnessed	witness	VERB
fcis-14856	11	13	a	a	DET
fcis-14856	11	14	notable	notable	ADJ
fcis-14856	11	15	shift	shift	NOUN
fcis-14856	11	16	towards	towards	ADP
fcis-14856	11	17	visual	visual	ADJ
fcis-14856	11	18	models	model	NOUN
fcis-14856	11	19	.	.	PUNCT
fcis-14856	12	1	this	this	DET
fcis-14856	12	2	transition	transition	NOUN
fcis-14856	12	3	can	can	AUX
fcis-14856	12	4	be	be	AUX
fcis-14856	12	5	attributed	attribute	VERB
fcis-14856	12	6	to	to	ADP
fcis-14856	12	7	the	the	DET
fcis-14856	12	8	distinctive	distinctive	ADJ
fcis-14856	12	9	characteristics	characteristic	NOUN
fcis-14856	12	10	of	of	ADP
fcis-14856	12	11	breast	breast	NOUN
fcis-14856	12	12	lesions	lesion	NOUN
fcis-14856	12	13	,	,	PUNCT
fcis-14856	12	14	including	include	VERB
fcis-14856	12	15	high	high	ADJ
fcis-14856	12	16	contrast	contrast	NOUN
fcis-14856	12	17	and	and	CCONJ
fcis-14856	12	18	integrity	integrity	NOUN
fcis-14856	12	19	,	,	PUNCT
fcis-14856	12	20	infrequent	infrequent	ADJ
fcis-14856	12	21	occurrence	occurrence	NOUN
fcis-14856	12	22	of	of	ADP
fcis-14856	12	23	fatty	fatty	NOUN
fcis-14856	12	24	breast	breast	NOUN
fcis-14856	12	25	glands	gland	NOUN
fcis-14856	12	26	,	,	PUNCT
fcis-14856	12	27	and	and	CCONJ
fcis-14856	12	28	the	the	DET
fcis-14856	12	29	potential	potential	NOUN
fcis-14856	12	30	for	for	ADP
fcis-14856	12	31	visualizing	visualize	VERB
fcis-14856	12	32	lesion	lesion	NOUN
fcis-14856	12	33	locations	location	NOUN
fcis-14856	12	34	from	from	ADP
fcis-14856	12	35	multiple	multiple	ADJ
fcis-14856	12	36	perspectives	perspective	NOUN
fcis-14856	12	37	in	in	ADP
fcis-14856	12	38	x	x	NOUN
fcis-14856	12	39	-	-	NOUN
fcis-14856	12	40	ray	ray	NOUN
fcis-14856	12	41	radiography	radiography	NOUN
fcis-14856	12	42	.	.	PUNCT
fcis-14856	13	1	the	the	DET
fcis-14856	13	2	efficacy	efficacy	NOUN
fcis-14856	13	3	of	of	ADP
fcis-14856	13	4	visual	visual	ADJ
fcis-14856	13	5	models	model	NOUN
fcis-14856	13	6	hinges	hinge	VERB
fcis-14856	13	7	on	on	ADP
fcis-14856	13	8	the	the	DET
fcis-14856	13	9	precision	precision	NOUN
fcis-14856	13	10	of	of	ADP
fcis-14856	13	11	lesion	lesion	NOUN
fcis-14856	13	12	segmentation	segmentation	NOUN
fcis-14856	13	13	and	and	CCONJ
fcis-14856	13	14	classification	classification	NOUN
fcis-14856	13	15	,	,	PUNCT
fcis-14856	13	16	a	a	DET
fcis-14856	13	17	fact	fact	NOUN
fcis-14856	13	18	that	that	SCONJ
fcis-14856	13	19	substantially	substantially	ADV
fcis-14856	13	20	improves	improve	VERB
fcis-14856	13	21	with	with	ADP
fcis-14856	13	22	the	the	DET
fcis-14856	13	23	increasing	increase	VERB
fcis-14856	13	24	capability	capability	NOUN
fcis-14856	13	25	of	of	ADP
fcis-14856	13	26	the	the	DET
fcis-14856	13	27	model	model	NOUN
fcis-14856	13	28	to	to	PART
fcis-14856	13	29	extract	extract	VERB
fcis-14856	13	30	features	feature	NOUN
fcis-14856	13	31	from	from	ADP
fcis-14856	13	32	input	input	NOUN
fcis-14856	13	33	images	image	NOUN
fcis-14856	13	34	.	.	PUNCT
fcis-14856	14	1	neural	neural	ADJ
fcis-14856	14	2	network	network	NOUN
fcis-14856	14	3	models	model	NOUN
fcis-14856	14	4	,	,	PUNCT
fcis-14856	14	5	particularly	particularly	ADV
fcis-14856	14	6	those	those	PRON
fcis-14856	14	7	deployed	deploy	VERB
fcis-14856	14	8	for	for	ADP
fcis-14856	14	9	breast	breast	NOUN
fcis-14856	14	10	cancer	cancer	NOUN
fcis-14856	14	11	detection	detection	NOUN
fcis-14856	14	12	,	,	PUNCT
fcis-14856	14	13	play	play	VERB
fcis-14856	14	14	a	a	DET
fcis-14856	14	15	pivotal	pivotal	ADJ
fcis-14856	14	16	role	role	NOUN
fcis-14856	14	17	in	in	ADP
fcis-14856	14	18	enhancing	enhance	VERB
fcis-14856	14	19	clinical	clinical	ADJ
fcis-14856	14	20	diagnosis	diagnosis	NOUN
fcis-14856	14	21	on	on	ADP
fcis-14856	14	22	two	two	NUM
fcis-14856	14	23	fronts	front	NOUN
fcis-14856	14	24	.	.	PUNCT
fcis-14856	15	1	firstly	firstly	ADV
fcis-14856	15	2	,	,	PUNCT
fcis-14856	15	3	in	in	ADP
fcis-14856	15	4	the	the	DET
fcis-14856	15	5	realm	realm	NOUN
fcis-14856	15	6	of	of	ADP
fcis-14856	15	7	initial	initial	ADJ
fcis-14856	15	8	diagnosis	diagnosis	NOUN
fcis-14856	15	9	,	,	PUNCT
fcis-14856	15	10	machine	machine	NOUN
fcis-14856	15	11	-	-	PUNCT
fcis-14856	15	12	led	lead	VERB
fcis-14856	15	13	screenings	screening	NOUN
fcis-14856	15	14	outshine	outshine	VERB
fcis-14856	15	15	traditional	traditional	ADJ
fcis-14856	15	16	methods	method	NOUN
fcis-14856	15	17	where	where	SCONJ
fcis-14856	15	18	doctors	doctor	NOUN
fcis-14856	15	19	individually	individually	ADV
fcis-14856	15	20	evaluate	evaluate	VERB
fcis-14856	15	21	x	x	NOUN
fcis-14856	15	22	-	-	NOUN
fcis-14856	15	23	ray	ray	NOUN
fcis-14856	15	24	results	result	NOUN
fcis-14856	15	25	.	.	PUNCT
fcis-14856	16	1	furthermore	furthermore	ADV
fcis-14856	16	2	,	,	PUNCT
fcis-14856	16	3	the	the	DET
fcis-14856	16	4	accurate	accurate	ADJ
fcis-14856	16	5	determination	determination	NOUN
fcis-14856	16	6	and	and	CCONJ
fcis-14856	16	7	segmentation	segmentation	NOUN
fcis-14856	16	8	of	of	ADP
fcis-14856	16	9	lesion	lesion	NOUN
fcis-14856	16	10	locations	location	NOUN
fcis-14856	16	11	furnish	furnish	VERB
fcis-14856	16	12	doctors	doctor	NOUN
fcis-14856	16	13	with	with	ADP
fcis-14856	16	14	valuable	valuable	ADJ
fcis-14856	16	15	references	reference	NOUN
fcis-14856	16	16	,	,	PUNCT
fcis-14856	16	17	expediting	expedite	VERB
fcis-14856	16	18	the	the	DET
fcis-14856	16	19	diagnostic	diagnostic	ADJ
fcis-14856	16	20	process	process	NOUN
fcis-14856	16	21	.	.	PUNCT
fcis-14856	17	1	this	this	DET
fcis-14856	17	2	paper	paper	NOUN
fcis-14856	17	3	centers	center	VERB
fcis-14856	17	4	its	its	PRON
fcis-14856	17	5	focus	focus	NOUN
fcis-14856	17	6	on	on	ADP
fcis-14856	17	7	the	the	DET
fcis-14856	17	8	latter	latter	ADJ
fcis-14856	17	9	aspect	aspect	NOUN
fcis-14856	17	10	,	,	PUNCT
fcis-14856	17	11	delving	delve	VERB
fcis-14856	17	12	into	into	ADP
fcis-14856	17	13	an	an	DET
fcis-14856	17	14	in	in	ADP
fcis-14856	17	15	-	-	PUNCT
fcis-14856	17	16	depth	depth	NOUN
fcis-14856	17	17	analysis	analysis	NOUN
fcis-14856	17	18	by	by	ADP
fcis-14856	17	19	refining	refine	VERB
fcis-14856	17	20	the	the	DET
fcis-14856	17	21	pooling	pooling	NOUN
fcis-14856	17	22	layer	layer	NOUN
fcis-14856	17	23	and	and	CCONJ
fcis-14856	17	24	associated	associated	ADJ
fcis-14856	17	25	training	training	NOUN
fcis-14856	17	26	scheme	scheme	NOUN
fcis-14856	17	27	to	to	PART
fcis-14856	17	28	enhance	enhance	VERB
fcis-14856	17	29	the	the	DET
fcis-14856	17	30	classification	classification	NOUN
fcis-14856	17	31	performance	performance	NOUN
fcis-14856	17	32	of	of	ADP
fcis-14856	17	33	a	a	DET
fcis-14856	17	34	conventional	conventional	ADJ
fcis-14856	17	35	deep	deep	ADJ
fcis-14856	17	36	convolutional	convolutional	ADJ
fcis-14856	17	37	network	network	NOUN
fcis-14856	17	38	-	-	PUNCT
fcis-14856	17	39	based	base	VERB
fcis-14856	17	40	model	model	NOUN
fcis-14856	17	41	.	.	PUNCT
fcis-14856	18	1	anticipating	anticipate	VERB
fcis-14856	18	2	a	a	DET
fcis-14856	18	3	positive	positive	ADJ
fcis-14856	18	4	contribution	contribution	NOUN
fcis-14856	18	5	to	to	ADP
fcis-14856	18	6	medical	medical	ADJ
fcis-14856	18	7	assistive	assistive	ADJ
fcis-14856	18	8	systems	system	NOUN
fcis-14856	18	9	,	,	PUNCT
fcis-14856	18	10	we	we	PRON
fcis-14856	18	11	posit	posit	VERB
fcis-14856	18	12	that	that	SCONJ
fcis-14856	18	13	our	our	PRON
fcis-14856	18	14	work	work	NOUN
fcis-14856	18	15	will	will	AUX
fcis-14856	18	16	propel	propel	VERB
fcis-14856	18	17	the	the	DET
fcis-14856	18	18	evolution	evolution	NOUN
fcis-14856	18	19	of	of	ADP
fcis-14856	18	20	deep	deep	ADJ
fcis-14856	18	21	learning	learning	NOUN
fcis-14856	18	22	-	-	PUNCT
fcis-14856	18	23	based	base	VERB
fcis-14856	18	24	models	model	NOUN
fcis-14856	18	25	,	,	PUNCT
fcis-14856	18	26	enabling	enable	VERB
fcis-14856	18	27	swifter	swifter	NOUN
fcis-14856	18	28	and	and	CCONJ
fcis-14856	18	29	more	more	ADV
fcis-14856	18	30	precise	precise	ADJ
fcis-14856	18	31	initial	initial	ADJ
fcis-14856	18	32	clinical	clinical	ADJ
fcis-14856	18	33	examinations	examination	NOUN
fcis-14856	18	34	.	.	PUNCT
fcis-14856	19	1	this	this	PRON
fcis-14856	19	2	,	,	PUNCT
fcis-14856	19	3	in	in	ADP
fcis-14856	19	4	turn	turn	NOUN
fcis-14856	19	5	,	,	PUNCT
fcis-14856	19	6	holds	hold	VERB
fcis-14856	19	7	promise	promise	NOUN
fcis-14856	19	8	for	for	ADP
fcis-14856	19	9	advancing	advance	VERB
fcis-14856	19	10	the	the	DET
fcis-14856	19	11	landscape	landscape	NOUN
fcis-14856	19	12	of	of	ADP
fcis-14856	19	13	breast	breast	NOUN
fcis-14856	19	14	cancer	cancer	NOUN
fcis-14856	19	15	diagnosis	diagnosis	NOUN
fcis-14856	19	16	,	,	PUNCT
fcis-14856	19	17	fostering	foster	VERB
fcis-14856	19	18	a	a	DET
fcis-14856	19	19	future	future	NOUN
fcis-14856	19	20	where	where	SCONJ
fcis-14856	19	21	cutting	cutting	NOUN
fcis-14856	19	22	-	-	PUNCT
fcis-14856	19	23	edge	edge	NOUN
fcis-14856	19	24	technology	technology	NOUN
fcis-14856	19	25	collaborates	collaborate	VERB
fcis-14856	19	26	seamlessly	seamlessly	ADV
fcis-14856	19	27	with	with	ADP
fcis-14856	19	28	medical	medical	ADJ
fcis-14856	19	29	expertise	expertise	NOUN
fcis-14856	19	30	for	for	ADP
fcis-14856	19	31	improved	improved	ADJ
fcis-14856	19	32	patient	patient	ADJ
fcis-14856	19	33	outcomes	outcome	NOUN
fcis-14856	19	34	.	.	PUNCT
fcis-14856	20	1	2	2	X
fcis-14856	20	2	.	.	X
fcis-14856	20	3	related	relate	VERB
fcis-14856	20	4	work	work	NOUN
fcis-14856	20	5	even	even	ADV
fcis-14856	20	6	before	before	ADP
fcis-14856	20	7	the	the	DET
fcis-14856	20	8	deep	deep	ADJ
fcis-14856	20	9	learning	learning	NOUN
fcis-14856	20	10	revolution	revolution	NOUN
fcis-14856	20	11	,	,	PUNCT
fcis-14856	20	12	early	early	ADJ
fcis-14856	20	13	researchers	researcher	NOUN
fcis-14856	20	14	were	be	AUX
fcis-14856	20	15	already	already	ADV
fcis-14856	20	16	working	work	VERB
fcis-14856	20	17	through	through	ADP
fcis-14856	20	18	methods	method	NOUN
fcis-14856	20	19	like	like	ADP
fcis-14856	20	20	spectral	spectral	ADJ
fcis-14856	20	21	analysis	analysis	NOUN
fcis-14856	20	22	or	or	CCONJ
fcis-14856	20	23	traditional	traditional	ADJ
fcis-14856	20	24	machine	machine	NOUN
fcis-14856	20	25	learning	learning	NOUN
fcis-14856	20	26	methods	method	NOUN
fcis-14856	20	27	[	[	X
fcis-14856	20	28	1	1	NUM
fcis-14856	20	29	-	-	SYM
fcis-14856	20	30	2	2	NUM
fcis-14856	20	31	]	]	PUNCT
fcis-14856	20	32	.	.	PUNCT
fcis-14856	21	1	given	give	VERB
fcis-14856	21	2	a	a	DET
fcis-14856	21	3	classification	classification	NOUN
fcis-14856	21	4	task	task	NOUN
fcis-14856	21	5	,	,	PUNCT
fcis-14856	21	6	in	in	ADP
fcis-14856	21	7	[	[	PUNCT
fcis-14856	21	8	3	3	NUM
fcis-14856	21	9	]	]	PUNCT
fcis-14856	21	10	,	,	PUNCT
fcis-14856	21	11	as	as	SCONJ
fcis-14856	21	12	compared	compare	VERB
fcis-14856	21	13	to	to	ADP
fcis-14856	21	14	the	the	DET
fcis-14856	21	15	new	new	ADJ
fcis-14856	21	16	model	model	NOUN
fcis-14856	21	17	,	,	PUNCT
fcis-14856	21	18	the	the	DET
fcis-14856	21	19	authors	author	NOUN
fcis-14856	21	20	compare	compare	VERB
fcis-14856	21	21	in	in	ADP
fcis-14856	21	22	detail	detail	NOUN
fcis-14856	21	23	the	the	DET
fcis-14856	21	24	classification	classification	NOUN
fcis-14856	21	25	results	result	NOUN
fcis-14856	21	26	based	base	VERB
fcis-14856	21	27	on	on	ADP
fcis-14856	21	28	svm	svm	PROPN
fcis-14856	21	29	,	,	PUNCT
fcis-14856	21	30	knn	knn	PROPN
fcis-14856	21	31	,	,	PUNCT
fcis-14856	21	32	etc	etc	X
fcis-14856	21	33	.	.	X
fcis-14856	21	34	,	,	PUNCT
fcis-14856	21	35	and	and	CCONJ
fcis-14856	21	36	likewise	likewise	ADV
fcis-14856	21	37	give	give	VERB
fcis-14856	21	38	some	some	DET
fcis-14856	21	39	analysis	analysis	NOUN
fcis-14856	21	40	for	for	ADP
fcis-14856	21	41	the	the	DET
fcis-14856	21	42	preprocessing	preprocessing	NOUN
fcis-14856	21	43	of	of	ADP
fcis-14856	21	44	this	this	DET
fcis-14856	21	45	class	class	NOUN
fcis-14856	21	46	of	of	ADP
fcis-14856	21	47	images	image	NOUN
fcis-14856	21	48	.	.	PUNCT
fcis-14856	22	1	different	different	ADJ
fcis-14856	22	2	from	from	ADP
fcis-14856	22	3	innovation	innovation	NOUN
fcis-14856	22	4	from	from	ADP
fcis-14856	22	5	model	model	NOUN
fcis-14856	22	6	itself	itself	PRON
fcis-14856	22	7	,	,	PUNCT
fcis-14856	22	8	lots	lot	NOUN
fcis-14856	22	9	of	of	ADP
fcis-14856	22	10	works	work	NOUN
fcis-14856	22	11	proves	prove	VERB
fcis-14856	22	12	a	a	DET
fcis-14856	22	13	better	well	ADJ
fcis-14856	22	14	feature	feature	NOUN
fcis-14856	22	15	selection	selection	NOUN
fcis-14856	22	16	will	will	AUX
fcis-14856	22	17	boost	boost	VERB
fcis-14856	22	18	performance	performance	NOUN
fcis-14856	22	19	compare	compare	VERB
fcis-14856	22	20	with	with	ADP
fcis-14856	22	21	the	the	DET
fcis-14856	22	22	classic	classic	ADJ
fcis-14856	22	23	approach	approach	NOUN
fcis-14856	22	24	[	[	X
fcis-14856	22	25	4	4	NUM
fcis-14856	22	26	]	]	PUNCT
fcis-14856	22	27	:	:	PUNCT
fcis-14856	23	1	[	[	X
fcis-14856	23	2	7	7	X
fcis-14856	23	3	]	]	PUNCT
fcis-14856	23	4	proposed	propose	VERB
fcis-14856	23	5	a	a	DET
fcis-14856	23	6	method	method	NOUN
fcis-14856	23	7	which	which	PRON
fcis-14856	23	8	use	use	VERB
fcis-14856	23	9	multiresolution	multiresolution	NOUN
fcis-14856	23	10	wavelets	wavelet	NOUN
fcis-14856	23	11	and	and	CCONJ
fcis-14856	23	12	zernike	zernike	VERB
fcis-14856	23	13	moments	moment	NOUN
fcis-14856	23	14	to	to	PART
fcis-14856	23	15	get	get	VERB
fcis-14856	23	16	a	a	DET
fcis-14856	23	17	better	well	ADJ
fcis-14856	23	18	representation	representation	NOUN
fcis-14856	23	19	;	;	PUNCT
fcis-14856	23	20	[	[	X
fcis-14856	23	21	8	8	X
fcis-14856	23	22	]	]	PUNCT
fcis-14856	23	23	utilize	utilize	VERB
fcis-14856	23	24	gabor	gabor	PROPN
fcis-14856	23	25	wavelet	wavelet	NOUN
fcis-14856	23	26	and	and	CCONJ
fcis-14856	23	27	locality	locality	NOUN
fcis-14856	23	28	sensitive	sensitive	ADJ
fcis-14856	23	29	discriminant	discriminant	ADJ
fcis-14856	23	30	analysis	analysis	NOUN
fcis-14856	23	31	in	in	ADP
fcis-14856	23	32	feature	feature	NOUN
fcis-14856	23	33	selection	selection	NOUN
fcis-14856	23	34	process	process	NOUN
fcis-14856	23	35	.	.	PUNCT
fcis-14856	24	1	[	[	X
fcis-14856	24	2	9	9	NUM
fcis-14856	24	3	]	]	PUNCT
fcis-14856	24	4	introduce	introduce	VERB
fcis-14856	24	5	a	a	DET
fcis-14856	24	6	crosscorrelation	crosscorrelation	NOUN
fcis-14856	24	7	analysis	analysis	NOUN
fcis-14856	24	8	in	in	ADP
fcis-14856	24	9	both	both	CCONJ
fcis-14856	24	10	spatial	spatial	ADJ
fcis-14856	24	11	and	and	CCONJ
fcis-14856	24	12	wavelet	wavelet	NOUN
fcis-14856	24	13	domains	domain	NOUN
fcis-14856	24	14	before	before	ADP
fcis-14856	24	15	using	use	VERB
fcis-14856	24	16	pca	pca	PROPN
fcis-14856	24	17	as	as	ADP
fcis-14856	24	18	feature	feature	NOUN
fcis-14856	24	19	selection	selection	NOUN
fcis-14856	24	20	method	method	NOUN
fcis-14856	24	21	.	.	PUNCT
fcis-14856	25	1	since	since	SCONJ
fcis-14856	25	2	2017	2017	NUM
fcis-14856	25	3	,	,	PUNCT
fcis-14856	25	4	as	as	SCONJ
fcis-14856	25	5	various	various	ADJ
fcis-14856	25	6	types	type	NOUN
fcis-14856	25	7	of	of	ADP
fcis-14856	25	8	novel	novel	ADJ
fcis-14856	25	9	network	network	NOUN
fcis-14856	25	10	architectures	architecture	NOUN
fcis-14856	25	11	have	have	AUX
fcis-14856	25	12	achieved	achieve	VERB
fcis-14856	25	13	good	good	ADJ
fcis-14856	25	14	results	result	NOUN
fcis-14856	25	15	in	in	ADP
fcis-14856	25	16	their	their	PRON
fcis-14856	25	17	respective	respective	ADJ
fcis-14856	25	18	fields	field	NOUN
fcis-14856	25	19	[	[	X
fcis-14856	25	20	10	10	NUM
fcis-14856	25	21	]	]	PUNCT
fcis-14856	25	22	,	,	PUNCT
fcis-14856	25	23	more	more	ADJ
fcis-14856	25	24	and	and	CCONJ
fcis-14856	25	25	more	more	ADJ
fcis-14856	25	26	work	work	NOUN
fcis-14856	25	27	has	have	AUX
fcis-14856	25	28	utilized	utilize	VERB
fcis-14856	25	29	them	they	PRON
fcis-14856	25	30	for	for	ADP
fcis-14856	25	31	feature	feature	NOUN
fcis-14856	25	32	extraction	extraction	NOUN
fcis-14856	25	33	of	of	ADP
fcis-14856	25	34	breast	breast	NOUN
fcis-14856	25	35	cancer	cancer	NOUN
fcis-14856	25	36	images	image	NOUN
fcis-14856	25	37	:	:	PUNCT
fcis-14856	25	38	by	by	ADP
fcis-14856	25	39	combine	combine	PROPN
fcis-14856	25	40	fcm	fcm	X
fcis-14856	25	41	(	(	PUNCT
fcis-14856	25	42	fuzzy	fuzzy	ADJ
fcis-14856	25	43	c	c	NOUN
fcis-14856	25	44	-	-	PUNCT
fcis-14856	25	45	means	mean	NOUN
fcis-14856	25	46	)	)	PUNCT
fcis-14856	25	47	and	and	CCONJ
fcis-14856	25	48	nn	nn	NUM
fcis-14856	25	49	structure	structure	NOUN
fcis-14856	25	50	,	,	PUNCT
fcis-14856	25	51	[	[	X
fcis-14856	25	52	5	5	NUM
fcis-14856	25	53	]	]	PUNCT
fcis-14856	25	54	illustrates	illustrate	VERB
fcis-14856	25	55	a	a	DET
fcis-14856	25	56	better	well	ADV
fcis-14856	25	57	starting	start	VERB
fcis-14856	25	58	feature	feature	NOUN
fcis-14856	25	59	representation	representation	NOUN
fcis-14856	25	60	is	be	AUX
fcis-14856	25	61	equally	equally	ADV
fcis-14856	25	62	important	important	ADJ
fcis-14856	25	63	for	for	ADP
fcis-14856	25	64	the	the	DET
fcis-14856	25	65	final	final	ADJ
fcis-14856	25	66	performance	performance	NOUN
fcis-14856	25	67	of	of	ADP
fcis-14856	25	68	the	the	DET
fcis-14856	25	69	model	model	NOUN
fcis-14856	25	70	.	.	PUNCT
fcis-14856	26	1	[	[	X
fcis-14856	26	2	6	6	NUM
fcis-14856	26	3	]	]	PUNCT
fcis-14856	26	4	fuse	fuse	NOUN
fcis-14856	26	5	an	an	DET
fcis-14856	26	6	attention	attention	NOUN
fcis-14856	26	7	module	module	NOUN
fcis-14856	26	8	right	right	ADV
fcis-14856	26	9	after	after	ADP
fcis-14856	26	10	the	the	DET
fcis-14856	26	11	feature	feature	NOUN
fcis-14856	26	12	selection	selection	NOUN
fcis-14856	26	13	.	.	PUNCT
fcis-14856	27	1	[	[	X
fcis-14856	27	2	8	8	NUM
fcis-14856	27	3	]	]	PUNCT
fcis-14856	27	4	introduce	introduce	NOUN
fcis-14856	27	5	organize	organize	VERB
fcis-14856	27	6	the	the	DET
fcis-14856	27	7	data	datum	NOUN
fcis-14856	27	8	as	as	ADP
fcis-14856	27	9	a	a	DET
fcis-14856	27	10	graph	graph	NOUN
fcis-14856	27	11	structure	structure	NOUN
fcis-14856	27	12	to	to	PART
fcis-14856	27	13	apply	apply	VERB
fcis-14856	27	14	graph	graph	NOUN
fcis-14856	27	15	convolution	convolution	NOUN
fcis-14856	27	16	.	.	PUNCT
fcis-14856	28	1	considering	consider	VERB
fcis-14856	28	2	that	that	SCONJ
fcis-14856	28	3	healthcare	healthcare	NOUN
fcis-14856	28	4	datasets	dataset	NOUN
fcis-14856	28	5	are	be	AUX
fcis-14856	28	6	generally	generally	ADV
fcis-14856	28	7	less	less	ADV
fcis-14856	28	8	public	public	ADJ
fcis-14856	28	9	and	and	CCONJ
fcis-14856	28	10	smaller	small	ADJ
fcis-14856	28	11	in	in	ADP
fcis-14856	28	12	size	size	NOUN
fcis-14856	28	13	,	,	PUNCT
fcis-14856	28	14	[	[	X
fcis-14856	28	15	9	9	NUM
fcis-14856	28	16	]	]	PUNCT
fcis-14856	28	17	proposes	propose	VERB
fcis-14856	28	18	new	new	ADJ
fcis-14856	28	19	data	datum	NOUN
fcis-14856	28	20	enhancement	enhancement	NOUN
fcis-14856	28	21	schemes	scheme	NOUN
fcis-14856	28	22	to	to	PART
fcis-14856	28	23	improve	improve	VERB
fcis-14856	28	24	data	datum	NOUN
fcis-14856	28	25	quality	quality	NOUN
fcis-14856	28	26	.	.	PUNCT
fcis-14856	29	1	3	3	X
fcis-14856	29	2	.	.	X
fcis-14856	29	3	methodology	methodology	NOUN
fcis-14856	29	4	in	in	ADP
fcis-14856	29	5	this	this	DET
fcis-14856	29	6	section	section	NOUN
fcis-14856	29	7	,	,	PUNCT
fcis-14856	29	8	we	we	PRON
fcis-14856	29	9	initiate	initiate	VERB
fcis-14856	29	10	our	our	PRON
fcis-14856	29	11	methodology	methodology	NOUN
fcis-14856	29	12	by	by	ADP
fcis-14856	29	13	analyzing	analyze	VERB
fcis-14856	29	14	the	the	DET
fcis-14856	29	15	average	average	ADJ
fcis-14856	29	16	age	age	NOUN
fcis-14856	29	17	of	of	ADP
fcis-14856	29	18	onset	onset	NOUN
fcis-14856	29	19	and	and	CCONJ
fcis-14856	29	20	the	the	DET
fcis-14856	29	21	spatial	spatial	ADJ
fcis-14856	29	22	localization	localization	NOUN
fcis-14856	29	23	of	of	ADP
fcis-14856	29	24	breast	breast	NOUN
fcis-14856	29	25	lesions	lesion	NOUN
fcis-14856	29	26	within	within	ADP
fcis-14856	29	27	the	the	DET
fcis-14856	29	28	dataset	dataset	NOUN
fcis-14856	29	29	.	.	PUNCT
fcis-14856	30	1	this	this	PRON
fcis-14856	30	2	involves	involve	VERB
fcis-14856	30	3	a	a	DET
fcis-14856	30	4	detailed	detailed	ADJ
fcis-14856	30	5	examination	examination	NOUN
fcis-14856	30	6	of	of	ADP
fcis-14856	30	7	age	age	NOUN
fcis-14856	30	8	distribution	distribution	NOUN
fcis-14856	30	9	trends	trend	NOUN
fcis-14856	30	10	and	and	CCONJ
fcis-14856	30	11	the	the	DET
fcis-14856	30	12	prevalence	prevalence	NOUN
fcis-14856	30	13	of	of	ADP
fcis-14856	30	14	lesions	lesion	NOUN
fcis-14856	30	15	following	follow	VERB
fcis-14856	30	16	breast	breast	NOUN
fcis-14856	30	17	visualization	visualization	NOUN
fcis-14856	30	18	.	.	PUNCT
fcis-14856	31	1	subsequently	subsequently	ADV
fcis-14856	31	2	,	,	PUNCT
fcis-14856	31	3	we	we	PRON
fcis-14856	31	4	100	100	NUM
fcis-14856	31	5	provide	provide	VERB
fcis-14856	31	6	specifics	specific	NOUN
fcis-14856	31	7	about	about	ADP
fcis-14856	31	8	the	the	DET
fcis-14856	31	9	model	model	NOUN
fcis-14856	31	10	employed	employ	VERB
fcis-14856	31	11	in	in	ADP
fcis-14856	31	12	our	our	PRON
fcis-14856	31	13	study	study	NOUN
fcis-14856	31	14	,	,	PUNCT
fcis-14856	31	15	detailing	detail	VERB
fcis-14856	31	16	its	its	PRON
fcis-14856	31	17	architecture	architecture	NOUN
fcis-14856	31	18	,	,	PUNCT
fcis-14856	31	19	key	key	ADJ
fcis-14856	31	20	components	component	NOUN
fcis-14856	31	21	,	,	PUNCT
fcis-14856	31	22	and	and	CCONJ
fcis-14856	31	23	any	any	DET
fcis-14856	31	24	customized	customize	VERB
fcis-14856	31	25	modifications	modification	NOUN
fcis-14856	31	26	made	make	VERB
fcis-14856	31	27	.	.	PUNCT
fcis-14856	32	1	this	this	DET
fcis-14856	32	2	concise	concise	ADJ
fcis-14856	32	3	overview	overview	NOUN
fcis-14856	32	4	ensures	ensure	VERB
fcis-14856	32	5	transparency	transparency	NOUN
fcis-14856	32	6	in	in	ADP
fcis-14856	32	7	our	our	PRON
fcis-14856	32	8	analytical	analytical	ADJ
fcis-14856	32	9	framework	framework	NOUN
fcis-14856	32	10	,	,	PUNCT
fcis-14856	32	11	laying	lay	VERB
fcis-14856	32	12	the	the	DET
fcis-14856	32	13	groundwork	groundwork	NOUN
fcis-14856	32	14	for	for	ADP
fcis-14856	32	15	the	the	DET
fcis-14856	32	16	application	application	NOUN
fcis-14856	32	17	of	of	ADP
fcis-14856	32	18	the	the	DET
fcis-14856	32	19	chosen	choose	VERB
fcis-14856	32	20	model	model	NOUN
fcis-14856	32	21	.	.	PUNCT
fcis-14856	33	1	3.1	3.1	NUM
fcis-14856	33	2	.	.	PUNCT
fcis-14856	33	3	data	datum	NOUN
fcis-14856	33	4	analyze	analyze	VERB
fcis-14856	33	5	in	in	ADP
fcis-14856	33	6	figure	figure	NOUN
fcis-14856	33	7	1	1	NUM
fcis-14856	33	8	,	,	PUNCT
fcis-14856	33	9	a	a	DET
fcis-14856	33	10	comprehensive	comprehensive	ADJ
fcis-14856	33	11	analysis	analysis	NOUN
fcis-14856	33	12	of	of	ADP
fcis-14856	33	13	patient	patient	ADJ
fcis-14856	33	14	age	age	NOUN
fcis-14856	33	15	and	and	CCONJ
fcis-14856	33	16	the	the	DET
fcis-14856	33	17	corresponding	corresponding	ADJ
fcis-14856	33	18	number	number	NOUN
fcis-14856	33	19	of	of	ADP
fcis-14856	33	20	positive	positive	ADJ
fcis-14856	33	21	cases	case	NOUN
fcis-14856	33	22	reveals	reveal	VERB
fcis-14856	33	23	that	that	SCONJ
fcis-14856	33	24	the	the	DET
fcis-14856	33	25	average	average	ADJ
fcis-14856	33	26	age	age	NOUN
fcis-14856	33	27	of	of	ADP
fcis-14856	33	28	disease	disease	NOUN
fcis-14856	33	29	onset	onset	NOUN
fcis-14856	33	30	is	be	AUX
fcis-14856	33	31	approximately	approximately	ADV
fcis-14856	33	32	67	67	NUM
fcis-14856	33	33	years	year	NOUN
fcis-14856	33	34	old	old	ADJ
fcis-14856	33	35	.	.	PUNCT
fcis-14856	34	1	notably	notably	ADV
fcis-14856	34	2	,	,	PUNCT
fcis-14856	34	3	the	the	DET
fcis-14856	34	4	overall	overall	ADJ
fcis-14856	34	5	dataset	dataset	NOUN
fcis-14856	34	6	's	's	PART
fcis-14856	34	7	average	average	ADJ
fcis-14856	34	8	age	age	NOUN
fcis-14856	34	9	is	be	AUX
fcis-14856	34	10	approximately	approximately	ADV
fcis-14856	34	11	60	60	NUM
fcis-14856	34	12	years	year	NOUN
fcis-14856	34	13	old	old	ADJ
fcis-14856	34	14	.	.	PUNCT
fcis-14856	35	1	this	this	DET
fcis-14856	35	2	detailed	detailed	ADJ
fcis-14856	35	3	breakdown	breakdown	NOUN
fcis-14856	35	4	provides	provide	VERB
fcis-14856	35	5	insights	insight	NOUN
fcis-14856	35	6	into	into	ADP
fcis-14856	35	7	the	the	DET
fcis-14856	35	8	demographic	demographic	ADJ
fcis-14856	35	9	characteristics	characteristic	NOUN
fcis-14856	35	10	of	of	ADP
fcis-14856	35	11	the	the	DET
fcis-14856	35	12	study	study	NOUN
fcis-14856	35	13	population	population	NOUN
fcis-14856	35	14	.	.	PUNCT
fcis-14856	36	1	examining	examine	VERB
fcis-14856	36	2	the	the	DET
fcis-14856	36	3	positive	positive	ADJ
fcis-14856	36	4	samples	sample	NOUN
fcis-14856	36	5	in	in	ADP
fcis-14856	36	6	figure	figure	NOUN
fcis-14856	36	7	2	2	NUM
fcis-14856	36	8	,	,	PUNCT
fcis-14856	36	9	our	our	PRON
fcis-14856	36	10	analysis	analysis	NOUN
fcis-14856	36	11	indicates	indicate	VERB
fcis-14856	36	12	an	an	DET
fcis-14856	36	13	incidence	incidence	NOUN
fcis-14856	36	14	rate	rate	NOUN
fcis-14856	36	15	of	of	ADP
fcis-14856	36	16	roughly	roughly	ADV
fcis-14856	36	17	1	1	NUM
fcis-14856	36	18	in	in	ADP
fcis-14856	36	19	15	15	NUM
fcis-14856	36	20	within	within	ADP
fcis-14856	36	21	the	the	DET
fcis-14856	36	22	total	total	ADJ
fcis-14856	36	23	population	population	NOUN
fcis-14856	36	24	.	.	PUNCT
fcis-14856	37	1	this	this	DET
fcis-14856	37	2	finding	finding	NOUN
fcis-14856	37	3	aligns	align	VERB
fcis-14856	37	4	with	with	ADP
fcis-14856	37	5	the	the	DET
fcis-14856	37	6	broader	broad	ADJ
fcis-14856	37	7	disease	disease	NOUN
fcis-14856	37	8	incidence	incidence	NOUN
fcis-14856	37	9	reported	report	VERB
fcis-14856	37	10	by	by	ADP
fcis-14856	37	11	the	the	DET
fcis-14856	37	12	world	world	PROPN
fcis-14856	37	13	health	health	PROPN
fcis-14856	37	14	organization	organization	NOUN
fcis-14856	37	15	(	(	PUNCT
fcis-14856	37	16	who	who	PRON
fcis-14856	37	17	)	)	PUNCT
fcis-14856	37	18	,	,	PUNCT
fcis-14856	37	19	bolstering	bolster	VERB
fcis-14856	37	20	the	the	DET
fcis-14856	37	21	representativeness	representativeness	NOUN
fcis-14856	37	22	of	of	ADP
fcis-14856	37	23	our	our	PRON
fcis-14856	37	24	dataset	dataset	NOUN
fcis-14856	37	25	.	.	PUNCT
fcis-14856	38	1	given	give	VERB
fcis-14856	38	2	the	the	DET
fcis-14856	38	3	inherent	inherent	ADJ
fcis-14856	38	4	class	class	NOUN
fcis-14856	38	5	imbalance	imbalance	NOUN
fcis-14856	38	6	in	in	ADP
fcis-14856	38	7	this	this	DET
fcis-14856	38	8	binary	binary	ADJ
fcis-14856	38	9	classification	classification	NOUN
fcis-14856	38	10	problem	problem	NOUN
fcis-14856	38	11	,	,	PUNCT
fcis-14856	38	12	we	we	PRON
fcis-14856	38	13	employ	employ	VERB
fcis-14856	38	14	strategies	strategy	NOUN
fcis-14856	38	15	during	during	ADP
fcis-14856	38	16	the	the	DET
fcis-14856	38	17	training	training	NOUN
fcis-14856	38	18	phase	phase	NOUN
fcis-14856	38	19	to	to	PART
fcis-14856	38	20	balance	balance	VERB
fcis-14856	38	21	positive	positive	ADJ
fcis-14856	38	22	and	and	CCONJ
fcis-14856	38	23	negative	negative	ADJ
fcis-14856	38	24	samples	sample	NOUN
fcis-14856	38	25	.	.	PUNCT
fcis-14856	39	1	techniques	technique	NOUN
fcis-14856	39	2	such	such	ADJ
fcis-14856	39	3	as	as	ADP
fcis-14856	39	4	rotation	rotation	NOUN
fcis-14856	39	5	,	,	PUNCT
fcis-14856	39	6	clipping	clipping	NOUN
fcis-14856	39	7	,	,	PUNCT
fcis-14856	39	8	and	and	CCONJ
fcis-14856	39	9	other	other	ADJ
fcis-14856	39	10	augmentation	augmentation	NOUN
fcis-14856	39	11	schemes	scheme	NOUN
fcis-14856	39	12	are	be	AUX
fcis-14856	39	13	applied	apply	VERB
fcis-14856	39	14	to	to	PART
fcis-14856	39	15	address	address	VERB
fcis-14856	39	16	this	this	DET
fcis-14856	39	17	imbalance	imbalance	NOUN
fcis-14856	39	18	,	,	PUNCT
fcis-14856	39	19	ensuring	ensure	VERB
fcis-14856	39	20	robust	robust	ADJ
fcis-14856	39	21	model	model	NOUN
fcis-14856	39	22	training	training	NOUN
fcis-14856	39	23	and	and	CCONJ
fcis-14856	39	24	performance	performance	NOUN
fcis-14856	39	25	across	across	ADP
fcis-14856	39	26	both	both	DET
fcis-14856	39	27	classes	class	NOUN
fcis-14856	39	28	.	.	PUNCT
fcis-14856	40	1	figure	figure	NOUN
fcis-14856	40	2	1	1	NUM
fcis-14856	40	3	.	.	PUNCT
fcis-14856	41	1	the	the	DET
fcis-14856	41	2	age	age	NOUN
fcis-14856	41	3	distribution	distribution	NOUN
fcis-14856	41	4	of	of	ADP
fcis-14856	41	5	patients	patient	NOUN
fcis-14856	41	6	figure	figure	VERB
fcis-14856	41	7	2	2	NUM
fcis-14856	41	8	.	.	PUNCT
fcis-14856	42	1	the	the	DET
fcis-14856	42	2	cancer	cancer	NOUN
fcis-14856	42	3	distribution	distribution	NOUN
fcis-14856	42	4	of	of	ADP
fcis-14856	42	5	patients	patient	NOUN
fcis-14856	42	6	figure	figure	VERB
fcis-14856	42	7	3	3	NUM
fcis-14856	42	8	.	.	PUNCT
fcis-14856	43	1	the	the	DET
fcis-14856	43	2	images	image	NOUN
fcis-14856	43	3	of	of	ADP
fcis-14856	43	4	breast	breast	NOUN
fcis-14856	43	5	cancer	cancer	NOUN
fcis-14856	43	6	the	the	DET
fcis-14856	43	7	figure	figure	NOUN
fcis-14856	43	8	3	3	NUM
fcis-14856	43	9	give	give	VERB
fcis-14856	43	10	the	the	DET
fcis-14856	43	11	heatmap	heatmap	NOUN
fcis-14856	43	12	of	of	ADP
fcis-14856	43	13	the	the	DET
fcis-14856	43	14	breast	breast	NOUN
fcis-14856	43	15	cancer	cancer	NOUN
fcis-14856	43	16	images	image	NOUN
fcis-14856	43	17	of	of	ADP
fcis-14856	43	18	the	the	DET
fcis-14856	43	19	patients	patient	NOUN
fcis-14856	43	20	from	from	ADP
fcis-14856	43	21	different	different	ADJ
fcis-14856	43	22	ages	age	NOUN
fcis-14856	43	23	which	which	PRON
fcis-14856	43	24	are	be	AUX
fcis-14856	43	25	preprocessed	preprocesse	VERB
fcis-14856	43	26	from	from	ADP
fcis-14856	43	27	the	the	DET
fcis-14856	43	28	x	x	NOUN
fcis-14856	43	29	-	-	NOUN
fcis-14856	43	30	ray	ray	NOUN
fcis-14856	43	31	images	image	NOUN
fcis-14856	43	32	.	.	PUNCT
fcis-14856	44	1	3.2	3.2	NUM
fcis-14856	44	2	.	.	PUNCT
fcis-14856	44	3	model	model	PROPN
fcis-14856	44	4	architectures	architecture	NOUN
fcis-14856	44	5	figure	figure	VERB
fcis-14856	44	6	4	4	NUM
fcis-14856	44	7	.	.	PUNCT
fcis-14856	45	1	the	the	DET
fcis-14856	45	2	architecture	architecture	NOUN
fcis-14856	45	3	of	of	ADP
fcis-14856	45	4	se	se	ADJ
fcis-14856	45	5	-	-	NOUN
fcis-14856	45	6	resnet-50	resnet-50	ADJ
fcis-14856	45	7	the	the	DET
fcis-14856	45	8	base	base	NOUN
fcis-14856	45	9	model	model	NOUN
fcis-14856	45	10	we	we	PRON
fcis-14856	45	11	adopted	adopt	VERB
fcis-14856	45	12	here	here	ADV
fcis-14856	45	13	is	be	AUX
fcis-14856	45	14	se	se	NOUN
fcis-14856	45	15	-	-	NOUN
fcis-14856	45	16	resnet-50	resnet-50	NOUN
fcis-14856	46	1	[	[	X
fcis-14856	47	1	11	11	NUM
fcis-14856	47	2	]	]	PUNCT
fcis-14856	47	3	.	.	PUNCT
fcis-14856	48	1	different	different	ADJ
fcis-14856	48	2	from	from	ADP
fcis-14856	48	3	the	the	DET
fcis-14856	48	4	previous	previous	ADJ
fcis-14856	48	5	resnet	resnet	NOUN
fcis-14856	48	6	or	or	CCONJ
fcis-14856	48	7	vgg16	vgg16	PROPN
fcis-14856	48	8	,	,	PUNCT
fcis-14856	48	9	the	the	DET
fcis-14856	48	10	core	core	NOUN
fcis-14856	48	11	idea	idea	NOUN
fcis-14856	48	12	in	in	ADP
fcis-14856	48	13	se	se	PROPN
fcis-14856	48	14	(	(	PUNCT
fcis-14856	48	15	squeeze	squeeze	NOUN
fcis-14856	48	16	and	and	CCONJ
fcis-14856	48	17	excitation	excitation	NOUN
fcis-14856	48	18	)	)	PUNCT
fcis-14856	48	19	method	method	NOUN
fcis-14856	48	20	is	be	AUX
fcis-14856	48	21	take	take	VERB
fcis-14856	48	22	the	the	DET
fcis-14856	48	23	relationship	relationship	NOUN
fcis-14856	48	24	between	between	ADP
fcis-14856	48	25	different	different	ADJ
fcis-14856	48	26	channel	channel	NOUN
fcis-14856	48	27	into	into	ADP
fcis-14856	48	28	consideration	consideration	NOUN
fcis-14856	48	29	.	.	PUNCT
fcis-14856	49	1	to	to	PART
fcis-14856	49	2	explicitly	explicitly	ADV
fcis-14856	49	3	model	model	VERB
fcis-14856	49	4	the	the	DET
fcis-14856	49	5	interdependencies	interdependency	NOUN
fcis-14856	49	6	between	between	ADP
fcis-14856	49	7	feature	feature	NOUN
fcis-14856	49	8	channels	channel	NOUN
fcis-14856	49	9	,	,	PUNCT
fcis-14856	49	10	a	a	DET
fcis-14856	49	11	learning	learning	NOUN
fcis-14856	49	12	-	-	PUNCT
fcis-14856	49	13	based	base	VERB
fcis-14856	49	14	method	method	NOUN
fcis-14856	49	15	was	be	AUX
fcis-14856	49	16	adopted	adopt	VERB
fcis-14856	49	17	here	here	ADV
fcis-14856	49	18	to	to	PART
fcis-14856	49	19	get	get	VERB
fcis-14856	49	20	the	the	DET
fcis-14856	49	21	importance	importance	NOUN
fcis-14856	49	22	of	of	ADP
fcis-14856	49	23	different	different	ADJ
fcis-14856	49	24	channel	channel	NOUN
fcis-14856	49	25	automatically	automatically	ADV
fcis-14856	49	26	,	,	PUNCT
fcis-14856	49	27	and	and	CCONJ
fcis-14856	49	28	then	then	ADV
fcis-14856	49	29	enhance	enhance	VERB
fcis-14856	49	30	the	the	DET
fcis-14856	49	31	useful	useful	ADJ
fcis-14856	49	32	features	feature	NOUN
fcis-14856	49	33	according	accord	VERB
fcis-14856	49	34	to	to	ADP
fcis-14856	49	35	this	this	DET
fcis-14856	49	36	importance	importance	NOUN
fcis-14856	49	37	and	and	CCONJ
fcis-14856	49	38	suppress	suppress	VERB
fcis-14856	49	39	the	the	DET
fcis-14856	49	40	features	feature	NOUN
fcis-14856	49	41	that	that	PRON
fcis-14856	49	42	are	be	AUX
fcis-14856	49	43	not	not	PART
fcis-14856	49	44	useful	useful	ADJ
fcis-14856	49	45	for	for	ADP
fcis-14856	49	46	the	the	DET
fcis-14856	49	47	current	current	ADJ
fcis-14856	49	48	task	task	NOUN
fcis-14856	49	49	.	.	PUNCT
fcis-14856	50	1	the	the	DET
fcis-14856	50	2	architecture	architecture	NOUN
fcis-14856	50	3	of	of	ADP
fcis-14856	50	4	se	se	PROPN
fcis-14856	50	5	-	-	NOUN
fcis-14856	50	6	resnet-50	resnet-50	PROPN
fcis-14856	50	7	is	be	AUX
fcis-14856	50	8	shown	show	VERB
fcis-14856	50	9	in	in	ADP
fcis-14856	50	10	the	the	DET
fcis-14856	50	11	figure	figure	NOUN
fcis-14856	50	12	4	4	NUM
fcis-14856	50	13	.	.	PUNCT
fcis-14856	50	14	specifically	specifically	ADV
fcis-14856	50	15	,	,	PUNCT
fcis-14856	50	16	given	give	VERB
fcis-14856	50	17	a	a	DET
fcis-14856	50	18	feature	feature	NOUN
fcis-14856	50	19	which	which	PRON
fcis-14856	50	20	has	have	VERB
fcis-14856	50	21	c0	c0	NOUN
fcis-14856	50	22	in	in	ADP
fcis-14856	50	23	channel	channel	NOUN
fcis-14856	50	24	,	,	PUNCT
fcis-14856	50	25	we	we	PRON
fcis-14856	50	26	compress	compress	VERB
fcis-14856	50	27	the	the	DET
fcis-14856	50	28	feature	feature	NOUN
fcis-14856	50	29	along	along	ADP
fcis-14856	50	30	spatial	spatial	ADJ
fcis-14856	50	31	dimension	dimension	NOUN
fcis-14856	50	32	turning	turn	VERB
fcis-14856	50	33	each	each	DET
fcis-14856	50	34	two	two	NUM
fcis-14856	50	35	-	-	PUNCT
fcis-14856	50	36	dimensional	dimensional	ADJ
fcis-14856	50	37	feature	feature	NOUN
fcis-14856	50	38	channel	channel	NOUN
fcis-14856	50	39	into	into	ADP
fcis-14856	50	40	a	a	DET
fcis-14856	50	41	real	real	ADJ
fcis-14856	50	42	number	number	NOUN
fcis-14856	50	43	.	.	PUNCT
fcis-14856	51	1	this	this	DET
fcis-14856	51	2	number	number	NOUN
fcis-14856	51	3	will	will	AUX
fcis-14856	51	4	somehow	somehow	ADV
fcis-14856	51	5	have	have	VERB
fcis-14856	51	6	a	a	DET
fcis-14856	51	7	global	global	ADJ
fcis-14856	51	8	receptive	receptive	ADJ
fcis-14856	51	9	field	field	NOUN
fcis-14856	51	10	and	and	CCONJ
fcis-14856	51	11	an	an	DET
fcis-14856	51	12	output	output	NOUN
fcis-14856	51	13	whose	whose	DET
fcis-14856	51	14	dimensionality	dimensionality	NOUN
fcis-14856	51	15	matches	match	VERB
fcis-14856	51	16	the	the	DET
fcis-14856	51	17	number	number	NOUN
fcis-14856	51	18	of	of	ADP
fcis-14856	51	19	input	input	NOUN
fcis-14856	51	20	feature	feature	NOUN
fcis-14856	51	21	channels	channel	NOUN
fcis-14856	51	22	.	.	PUNCT
fcis-14856	52	1	it	it	PRON
fcis-14856	52	2	characterizes	characterize	VERB
fcis-14856	52	3	the	the	DET
fcis-14856	52	4	global	global	ADJ
fcis-14856	52	5	distribution	distribution	NOUN
fcis-14856	52	6	of	of	ADP
fcis-14856	52	7	the	the	DET
fcis-14856	52	8	response	response	NOUN
fcis-14856	52	9	over	over	ADP
fcis-14856	52	10	the	the	DET
fcis-14856	52	11	feature	feature	NOUN
fcis-14856	52	12	channels	channel	NOUN
fcis-14856	52	13	,	,	PUNCT
fcis-14856	52	14	and	and	CCONJ
fcis-14856	52	15	it	it	PRON
fcis-14856	52	16	makes	make	VERB
fcis-14856	52	17	the	the	DET
fcis-14856	52	18	global	global	ADJ
fcis-14856	52	19	receptive	receptive	ADJ
fcis-14856	52	20	field	field	NOUN
fcis-14856	52	21	available	available	ADJ
fcis-14856	52	22	to	to	ADP
fcis-14856	52	23	layers	layer	NOUN
fcis-14856	52	24	close	close	ADV
fcis-14856	52	25	to	to	ADP
fcis-14856	52	26	the	the	DET
fcis-14856	52	27	input	input	NOUN
fcis-14856	52	28	as	as	ADV
fcis-14856	52	29	well	well	ADV
fcis-14856	52	30	.	.	PUNCT
fcis-14856	53	1	the	the	DET
fcis-14856	53	2	excitation	excitation	NOUN
fcis-14856	53	3	is	be	AUX
fcis-14856	53	4	a	a	DET
fcis-14856	53	5	mechanism	mechanism	NOUN
fcis-14856	53	6	like	like	ADP
fcis-14856	53	7	gates	gate	NOUN
fcis-14856	53	8	in	in	ADP
fcis-14856	53	9	recurrent	recurrent	ADJ
fcis-14856	53	10	neural	neural	ADJ
fcis-14856	53	11	networks	network	NOUN
fcis-14856	53	12	.	.	PUNCT
fcis-14856	54	1	weights	weight	NOUN
fcis-14856	54	2	are	be	AUX
fcis-14856	54	3	generated	generate	VERB
fcis-14856	54	4	for	for	ADP
fcis-14856	54	5	each	each	DET
fcis-14856	54	6	feature	feature	NOUN
fcis-14856	54	7	channel	channel	NOUN
fcis-14856	54	8	by	by	ADP
fcis-14856	54	9	means	mean	NOUN
fcis-14856	54	10	of	of	ADP
fcis-14856	54	11	parameters	parameter	NOUN
fcis-14856	54	12	,	,	PUNCT
fcis-14856	54	13	which	which	PRON
fcis-14856	54	14	are	be	AUX
fcis-14856	54	15	learned	learn	VERB
fcis-14856	54	16	to	to	PART
fcis-14856	54	17	explicitly	explicitly	ADV
fcis-14856	54	18	model	model	VERB
fcis-14856	54	19	the	the	DET
fcis-14856	54	20	correlation	correlation	NOUN
fcis-14856	54	21	between	between	ADP
fcis-14856	54	22	features	feature	NOUN
fcis-14856	54	23	channels	channel	NOUN
fcis-14856	54	24	.	.	PUNCT
fcis-14856	55	1	considering	consider	VERB
fcis-14856	55	2	the	the	DET
fcis-14856	55	3	flexibility	flexibility	NOUN
fcis-14856	55	4	of	of	ADP
fcis-14856	55	5	the	the	DET
fcis-14856	55	6	number	number	NOUN
fcis-14856	55	7	of	of	ADP
fcis-14856	55	8	layers	layer	NOUN
fcis-14856	55	9	of	of	ADP
fcis-14856	55	10	the	the	DET
fcis-14856	55	11	network	network	NOUN
fcis-14856	55	12	,	,	PUNCT
fcis-14856	55	13	we	we	PRON
fcis-14856	55	14	here	here	ADV
fcis-14856	55	15	incorporate	incorporate	VERB
fcis-14856	55	16	this	this	DET
fcis-14856	55	17	design	design	NOUN
fcis-14856	55	18	into	into	ADP
fcis-14856	55	19	resnet	resnet	NOUN
fcis-14856	55	20	,	,	PUNCT
fcis-14856	55	21	obtaining	obtain	VERB
fcis-14856	55	22	the	the	DET
fcis-14856	55	23	structure	structure	NOUN
fcis-14856	55	24	shown	show	VERB
fcis-14856	55	25	above	above	ADV
fcis-14856	55	26	.	.	PUNCT
fcis-14856	56	1	the	the	DET
fcis-14856	56	2	kernel	kernel	NOUN
fcis-14856	56	3	of	of	ADP
fcis-14856	56	4	input	input	NOUN
fcis-14856	56	5	layer	layer	NOUN
fcis-14856	56	6	is	be	AUX
fcis-14856	56	7	the	the	DET
fcis-14856	56	8	largest	large	ADJ
fcis-14856	56	9	:	:	PUNCT
fcis-14856	56	10	7x7	7x7	NUM
fcis-14856	56	11	,	,	PUNCT
fcis-14856	56	12	which	which	PRON
fcis-14856	56	13	will	will	AUX
fcis-14856	56	14	give	give	VERB
fcis-14856	56	15	the	the	DET
fcis-14856	56	16	following	follow	VERB
fcis-14856	56	17	layer	layer	NOUN
fcis-14856	56	18	a	a	DET
fcis-14856	56	19	bigger	big	ADJ
fcis-14856	56	20	reception	reception	NOUN
fcis-14856	56	21	field	field	NOUN
fcis-14856	56	22	.	.	PUNCT
fcis-14856	57	1	the	the	DET
fcis-14856	57	2	design	design	NOUN
fcis-14856	57	3	in	in	ADP
fcis-14856	57	4	next	next	ADJ
fcis-14856	57	5	3	3	NUM
fcis-14856	57	6	blocks	block	NOUN
fcis-14856	57	7	are	be	AUX
fcis-14856	57	8	kept	keep	VERB
fcis-14856	57	9	the	the	DET
fcis-14856	57	10	same	same	ADJ
fcis-14856	57	11	as	as	ADP
fcis-14856	57	12	original	original	ADJ
fcis-14856	57	13	resnext	resnext	NOUN
fcis-14856	57	14	[	[	X
fcis-14856	57	15	15	15	NUM
fcis-14856	57	16	]	]	PUNCT
fcis-14856	57	17	.	.	PUNCT
fcis-14856	58	1	after	after	ADP
fcis-14856	58	2	that	that	PRON
fcis-14856	58	3	,	,	PUNCT
fcis-14856	58	4	we	we	PRON
fcis-14856	58	5	change	change	VERB
fcis-14856	58	6	the	the	DET
fcis-14856	58	7	average	average	ADJ
fcis-14856	58	8	pooling	pooling	NOUN
fcis-14856	58	9	mentioned	mention	VERB
fcis-14856	58	10	to	to	ADP
fcis-14856	58	11	gem	gem	NOUN
fcis-14856	58	12	(	(	PUNCT
fcis-14856	58	13	generalized	generalized	ADJ
fcis-14856	58	14	mean	mean	NOUN
fcis-14856	58	15	pooling	pooling	NOUN
fcis-14856	58	16	)	)	PUNCT
fcis-14856	58	17	pooling	pooling	NOUN
fcis-14856	58	18	,	,	PUNCT
fcis-14856	58	19	which	which	PRON
fcis-14856	58	20	can	can	AUX
fcis-14856	58	21	be	be	AUX
fcis-14856	58	22	described	describe	VERB
fcis-14856	58	23	as	as	ADP
fcis-14856	58	24	the	the	DET
fcis-14856	58	25	follows	follow	NOUN
fcis-14856	58	26	:	:	PUNCT
fcis-14856	58	27	here	here	ADV
fcis-14856	58	28	x	x	PUNCT
fcis-14856	58	29	is	be	AUX
fcis-14856	58	30	the	the	DET
fcis-14856	58	31	input	input	NOUN
fcis-14856	58	32	of	of	ADP
fcis-14856	58	33	layer	layer	NOUN
fcis-14856	58	34	,	,	PUNCT
fcis-14856	58	35	p	p	PROPN
fcis-14856	58	36	is	be	AUX
fcis-14856	58	37	a	a	DET
fcis-14856	58	38	hyper	hyper	NOUN
fcis-14856	58	39	-	-	NOUN
fcis-14856	58	40	parameter	parameter	NOUN
fcis-14856	58	41	given	give	VERB
fcis-14856	58	42	by	by	ADP
fcis-14856	58	43	users	user	NOUN
fcis-14856	58	44	,	,	PUNCT
fcis-14856	58	45	when	when	SCONJ
fcis-14856	58	46	p	p	NOUN
fcis-14856	58	47	=	=	NOUN
fcis-14856	58	48	1	1	NUM
fcis-14856	58	49	the	the	DET
fcis-14856	58	50	gem	gem	NOUN
fcis-14856	58	51	will	will	AUX
fcis-14856	58	52	degrade	degrade	VERB
fcis-14856	58	53	to	to	ADP
fcis-14856	58	54	average	average	ADJ
fcis-14856	58	55	pooling	pooling	NOUN
fcis-14856	58	56	,	,	PUNCT
fcis-14856	58	57	and	and	CCONJ
fcis-14856	58	58	when	when	SCONJ
fcis-14856	58	59	p	p	NOUN
fcis-14856	58	60	is	be	AUX
fcis-14856	58	61	infinity	infinity	NOUN
fcis-14856	58	62	,	,	PUNCT
fcis-14856	58	63	gem	gem	NOUN
fcis-14856	58	64	will	will	AUX
fcis-14856	58	65	degrade	degrade	VERB
fcis-14856	58	66	to	to	ADP
fcis-14856	58	67	max	max	PROPN
fcis-14856	58	68	pooling	pooling	NOUN
fcis-14856	58	69	.	.	PUNCT
fcis-14856	59	1	in	in	ADP
fcis-14856	59	2	general	general	ADJ
fcis-14856	59	3	,	,	PUNCT
fcis-14856	59	4	compared	compare	VERB
fcis-14856	59	5	to	to	ADP
fcis-14856	59	6	maximum	maximum	ADJ
fcis-14856	59	7	pooling	pooling	NOUN
fcis-14856	59	8	,	,	PUNCT
fcis-14856	59	9	which	which	PRON
fcis-14856	59	10	wants	want	VERB
fcis-14856	59	11	to	to	PART
fcis-14856	59	12	capture	capture	VERB
fcis-14856	59	13	local	local	ADJ
fcis-14856	59	14	high	high	ADJ
fcis-14856	59	15	-	-	PUNCT
fcis-14856	59	16	frequency	frequency	NOUN
fcis-14856	59	17	features	feature	NOUN
fcis-14856	59	18	of	of	ADP
fcis-14856	59	19	an	an	DET
fcis-14856	59	20	image	image	NOUN
fcis-14856	59	21	,	,	PUNCT
fcis-14856	59	22	and	and	CCONJ
fcis-14856	59	23	average	average	ADJ
fcis-14856	59	24	pooling	pooling	NOUN
fcis-14856	59	25	,	,	PUNCT
fcis-14856	59	26	which	which	PRON
fcis-14856	59	27	is	be	AUX
fcis-14856	59	28	a	a	DET
fcis-14856	59	29	global	global	ADJ
fcis-14856	59	30	blur	blur	NOUN
fcis-14856	59	31	,	,	PUNCT
fcis-14856	59	32	gem	gem	NOUN
fcis-14856	59	33	is	be	AUX
fcis-14856	59	34	a	a	DET
fcis-14856	59	35	more	more	ADV
fcis-14856	59	36	eclectic	eclectic	ADJ
fcis-14856	59	37	scheme	scheme	NOUN
fcis-14856	59	38	.	.	PUNCT
fcis-14856	60	1	then	then	ADV
fcis-14856	60	2	we	we	PRON
fcis-14856	60	3	choose	choose	VERB
fcis-14856	60	4	to	to	PART
fcis-14856	60	5	adopt	adopt	VERB
fcis-14856	60	6	adam	adam	PROPN
fcis-14856	60	7	instead	instead	ADV
fcis-14856	60	8	of	of	ADP
fcis-14856	60	9	classic	classic	ADJ
fcis-14856	60	10	sgd	sgd	NOUN
fcis-14856	60	11	optimizer	optimizer	NOUN
fcis-14856	60	12	here	here	ADV
fcis-14856	60	13	to	to	PART
fcis-14856	60	14	accelerate	accelerate	VERB
fcis-14856	60	15	the	the	DET
fcis-14856	60	16	speed	speed	NOUN
fcis-14856	60	17	of	of	ADP
fcis-14856	60	18	convergence	convergence	NOUN
fcis-14856	60	19	.	.	PUNCT
fcis-14856	61	1	the	the	DET
fcis-14856	61	2	adam	adam	PROPN
fcis-14856	61	3	makes	make	VERB
fcis-14856	61	4	the	the	DET
fcis-14856	61	5	step	step	NOUN
fcis-14856	61	6	size	size	NOUN
fcis-14856	61	7	can	can	AUX
fcis-14856	61	8	be	be	AUX
fcis-14856	61	9	adaptively	adaptively	ADV
fcis-14856	61	10	adjusted	adjust	VERB
fcis-14856	61	11	from	from	ADP
fcis-14856	61	12	both	both	CCONJ
fcis-14856	61	13	the	the	DET
fcis-14856	61	14	gradient	gradient	ADJ
fcis-14856	61	15	mean	mean	NOUN
fcis-14856	61	16	and	and	CCONJ
fcis-14856	61	17	gradient	gradient	ADJ
fcis-14856	61	18	squared	square	VERB
fcis-14856	61	19	perspectives	perspective	NOUN
fcis-14856	61	20	,	,	PUNCT
fcis-14856	61	21	rather	rather	ADV
fcis-14856	61	22	than	than	ADP
fcis-14856	61	23	being	be	AUX
fcis-14856	61	24	directly	directly	ADV
fcis-14856	61	25	determined	determine	VERB
fcis-14856	61	26	by	by	ADP
fcis-14856	61	27	the	the	DET
fcis-14856	61	28	current	current	ADJ
fcis-14856	61	29	gradient	gradient	NOUN
fcis-14856	61	30	.	.	PUNCT
fcis-14856	62	1	101	101	NUM
fcis-14856	62	2	4	4	NUM
fcis-14856	62	3	.	.	PUNCT
fcis-14856	62	4	experiments	experiment	NOUN
fcis-14856	62	5	4.1	4.1	NUM
fcis-14856	62	6	.	.	PUNCT
fcis-14856	63	1	experiments	experiment	NOUN
fcis-14856	63	2	setting	set	VERB
fcis-14856	63	3	and	and	CCONJ
fcis-14856	63	4	evaluation	evaluation	NOUN
fcis-14856	63	5	indexes	index	NOUN
fcis-14856	63	6	we	we	PRON
fcis-14856	63	7	obtain	obtain	VERB
fcis-14856	63	8	the	the	DET
fcis-14856	63	9	data	datum	NOUN
fcis-14856	63	10	from	from	ADP
fcis-14856	63	11	rsna	rsna	PROPN
fcis-14856	63	12	screening	screen	VERB
fcis-14856	63	13	mammography	mammography	NOUN
fcis-14856	63	14	breast	breast	NOUN
fcis-14856	63	15	cancer	cancer	NOUN
fcis-14856	63	16	detection	detection	NOUN
fcis-14856	63	17	open	open	ADJ
fcis-14856	63	18	challenge	challenge	NOUN
fcis-14856	63	19	.	.	PUNCT
fcis-14856	64	1	during	during	ADP
fcis-14856	64	2	training	training	NOUN
fcis-14856	64	3	process	process	NOUN
fcis-14856	64	4	,	,	PUNCT
fcis-14856	64	5	we	we	PRON
fcis-14856	64	6	set	set	VERB
fcis-14856	64	7	learning	learn	VERB
fcis-14856	64	8	rate	rate	NOUN
fcis-14856	64	9	to	to	ADP
fcis-14856	64	10	1e-5	1e-5	NUM
fcis-14856	64	11	,	,	PUNCT
fcis-14856	64	12	batch	batch	NOUN
fcis-14856	64	13	size	size	NOUN
fcis-14856	64	14	to	to	ADP
fcis-14856	64	15	8	8	NUM
fcis-14856	64	16	for	for	ADP
fcis-14856	64	17	20	20	NUM
fcis-14856	64	18	epochs	epoch	NOUN
fcis-14856	64	19	.	.	PUNCT
fcis-14856	65	1	considering	consider	VERB
fcis-14856	65	2	that	that	SCONJ
fcis-14856	65	3	this	this	PRON
fcis-14856	65	4	is	be	AUX
fcis-14856	65	5	a	a	DET
fcis-14856	65	6	binary	binary	ADJ
fcis-14856	65	7	categorization	categorization	NOUN
fcis-14856	65	8	problem	problem	NOUN
fcis-14856	65	9	,	,	PUNCT
fcis-14856	65	10	we	we	PRON
fcis-14856	65	11	have	have	AUX
fcis-14856	65	12	directly	directly	ADV
fcis-14856	65	13	adopted	adopt	VERB
fcis-14856	65	14	the	the	DET
fcis-14856	65	15	weighted	weight	VERB
fcis-14856	65	16	f1	f1	NOUN
fcis-14856	65	17	score	score	NOUN
fcis-14856	65	18	as	as	ADP
fcis-14856	65	19	the	the	DET
fcis-14856	65	20	evaluation	evaluation	NOUN
fcis-14856	65	21	criterion	criterion	NOUN
fcis-14856	65	22	here	here	ADV
fcis-14856	65	23	.	.	PUNCT
fcis-14856	66	1	the	the	DET
fcis-14856	66	2	p	p	NOUN
fcis-14856	66	3	here	here	ADV
fcis-14856	66	4	is	be	AUX
fcis-14856	66	5	used	use	VERB
fcis-14856	66	6	to	to	PART
fcis-14856	66	7	control	control	VERB
fcis-14856	66	8	different	different	ADJ
fcis-14856	66	9	importance	importance	NOUN
fcis-14856	66	10	of	of	ADP
fcis-14856	66	11	precision	precision	NOUN
fcis-14856	66	12	and	and	CCONJ
fcis-14856	66	13	recall	recall	NOUN
fcis-14856	66	14	,	,	PUNCT
fcis-14856	66	15	as	as	SCONJ
fcis-14856	66	16	in	in	ADP
fcis-14856	66	17	different	different	ADJ
fcis-14856	66	18	tasks	task	NOUN
fcis-14856	66	19	we	we	PRON
fcis-14856	66	20	may	may	AUX
fcis-14856	66	21	want	want	VERB
fcis-14856	66	22	to	to	PART
fcis-14856	66	23	avoid	avoid	VERB
fcis-14856	66	24	misdiagnosis	misdiagnosis	NOUN
fcis-14856	66	25	as	as	ADV
fcis-14856	66	26	much	much	ADV
fcis-14856	66	27	as	as	ADP
fcis-14856	66	28	possible	possible	ADJ
fcis-14856	66	29	and	and	CCONJ
fcis-14856	66	30	vice	vice	ADV
fcis-14856	66	31	versa	versa	ADV
fcis-14856	66	32	.	.	PUNCT
fcis-14856	67	1	2	2	NUM
fcis-14856	67	2	pprecision	pprecision	NOUN
fcis-14856	67	3	∙	∙	PROPN
fcis-14856	67	4	precall	precall	NOUN
fcis-14856	67	5	pprecision	pprecision	NOUN
fcis-14856	67	6	precall	precall	NOUN
fcis-14856	67	7	where	where	SCONJ
fcis-14856	67	8	4.2	4.2	NUM
fcis-14856	67	9	.	.	PUNCT
fcis-14856	67	10	result	result	VERB
fcis-14856	67	11	in	in	ADP
fcis-14856	67	12	our	our	PRON
fcis-14856	67	13	experimentation	experimentation	NOUN
fcis-14856	67	14	,	,	PUNCT
fcis-14856	67	15	we	we	PRON
fcis-14856	67	16	systematically	systematically	ADV
fcis-14856	67	17	evaluated	evaluate	VERB
fcis-14856	67	18	various	various	ADJ
fcis-14856	67	19	backbone	backbone	NOUN
fcis-14856	67	20	architectures	architecture	NOUN
fcis-14856	67	21	as	as	ADP
fcis-14856	67	22	feature	feature	NOUN
fcis-14856	67	23	extraction	extraction	NOUN
fcis-14856	67	24	schemes	scheme	NOUN
fcis-14856	67	25	.	.	PUNCT
fcis-14856	68	1	beyond	beyond	ADP
fcis-14856	68	2	the	the	DET
fcis-14856	68	3	conventional	conventional	ADJ
fcis-14856	68	4	resnet	resnet	NOUN
fcis-14856	68	5	,	,	PUNCT
fcis-14856	68	6	we	we	PRON
fcis-14856	68	7	explored	explore	VERB
fcis-14856	68	8	the	the	DET
fcis-14856	68	9	efficacy	efficacy	NOUN
fcis-14856	68	10	of	of	ADP
fcis-14856	68	11	its	its	PRON
fcis-14856	68	12	contemporary	contemporary	ADJ
fcis-14856	68	13	counterparts	counterpart	NOUN
fcis-14856	68	14	,	,	PUNCT
fcis-14856	68	15	specifically	specifically	ADV
fcis-14856	68	16	googlenet	googlenet	VERB
fcis-14856	68	17	[	[	X
fcis-14856	68	18	14	14	NUM
fcis-14856	68	19	]	]	PUNCT
fcis-14856	68	20	and	and	CCONJ
fcis-14856	68	21	the	the	DET
fcis-14856	68	22	subsequently	subsequently	ADV
fcis-14856	68	23	introduced	introduce	VERB
fcis-14856	68	24	efficientnet	efficientnet	NOUN
fcis-14856	69	1	[	[	X
fcis-14856	69	2	13	13	NUM
fcis-14856	69	3	]	]	PUNCT
fcis-14856	69	4	.	.	PUNCT
fcis-14856	70	1	the	the	DET
fcis-14856	70	2	results	result	NOUN
fcis-14856	70	3	,	,	PUNCT
fcis-14856	70	4	detailed	detail	VERB
fcis-14856	70	5	in	in	ADP
fcis-14856	70	6	the	the	DET
fcis-14856	70	7	ensuing	ensue	VERB
fcis-14856	70	8	table	table	NOUN
fcis-14856	70	9	,	,	PUNCT
fcis-14856	70	10	underscore	underscore	VERB
fcis-14856	70	11	the	the	DET
fcis-14856	70	12	impact	impact	NOUN
fcis-14856	70	13	of	of	ADP
fcis-14856	70	14	the	the	DET
fcis-14856	70	15	implemented	implement	VERB
fcis-14856	70	16	enhancements	enhancement	NOUN
fcis-14856	70	17	,	,	PUNCT
fcis-14856	70	18	revealing	reveal	VERB
fcis-14856	70	19	that	that	SCONJ
fcis-14856	70	20	our	our	PRON
fcis-14856	70	21	approach	approach	NOUN
fcis-14856	70	22	yielded	yield	VERB
fcis-14856	70	23	superior	superior	ADJ
fcis-14856	70	24	performance	performance	NOUN
fcis-14856	70	25	compared	compare	VERB
fcis-14856	70	26	to	to	ADP
fcis-14856	70	27	individual	individual	ADJ
fcis-14856	70	28	models	model	NOUN
fcis-14856	70	29	.	.	PUNCT
fcis-14856	71	1	notably	notably	ADV
fcis-14856	71	2	,	,	PUNCT
fcis-14856	71	3	our	our	PRON
fcis-14856	71	4	model	model	NOUN
fcis-14856	71	5	outperformed	outperform	VERB
fcis-14856	71	6	them	they	PRON
fcis-14856	71	7	by	by	ADP
fcis-14856	71	8	a	a	DET
fcis-14856	71	9	margin	margin	NOUN
fcis-14856	71	10	ranging	range	VERB
fcis-14856	71	11	from	from	ADP
fcis-14856	71	12	0.5	0.5	NUM
fcis-14856	71	13	%	%	NOUN
fcis-14856	71	14	to	to	ADP
fcis-14856	71	15	2.8	2.8	NUM
fcis-14856	71	16	%	%	NOUN
fcis-14856	71	17	,	,	PUNCT
fcis-14856	71	18	signifying	signify	VERB
fcis-14856	71	19	a	a	DET
fcis-14856	71	20	noteworthy	noteworthy	ADJ
fcis-14856	71	21	advancement	advancement	NOUN
fcis-14856	71	22	in	in	ADP
fcis-14856	71	23	accuracy	accuracy	NOUN
fcis-14856	71	24	and	and	CCONJ
fcis-14856	71	25	effectiveness	effectiveness	NOUN
fcis-14856	71	26	.	.	PUNCT
fcis-14856	72	1	this	this	DET
fcis-14856	72	2	nuanced	nuanced	ADJ
fcis-14856	72	3	exploration	exploration	NOUN
fcis-14856	72	4	of	of	ADP
fcis-14856	72	5	diverse	diverse	ADJ
fcis-14856	72	6	backbone	backbone	NOUN
fcis-14856	72	7	architectures	architecture	NOUN
fcis-14856	72	8	highlights	highlight	VERB
fcis-14856	72	9	the	the	DET
fcis-14856	72	10	pivotal	pivotal	ADJ
fcis-14856	72	11	role	role	NOUN
fcis-14856	72	12	of	of	ADP
fcis-14856	72	13	feature	feature	NOUN
fcis-14856	72	14	extraction	extraction	NOUN
fcis-14856	72	15	in	in	ADP
fcis-14856	72	16	enhancing	enhance	VERB
fcis-14856	72	17	the	the	DET
fcis-14856	72	18	overall	overall	ADJ
fcis-14856	72	19	performance	performance	NOUN
fcis-14856	72	20	of	of	ADP
fcis-14856	72	21	breast	breast	NOUN
fcis-14856	72	22	cancer	cancer	NOUN
fcis-14856	72	23	detection	detection	NOUN
fcis-14856	72	24	models	model	NOUN
fcis-14856	72	25	.	.	PUNCT
fcis-14856	73	1	table	table	NOUN
fcis-14856	73	2	1	1	NUM
fcis-14856	73	3	.	.	PUNCT
fcis-14856	74	1	cancer	cancer	NOUN
fcis-14856	74	2	detection	detection	NOUN
fcis-14856	74	3	models	model	NOUN
fcis-14856	74	4	models	model	VERB
fcis-14856	74	5	pf1	pf1	PROPN
fcis-14856	74	6	score	score	NOUN
fcis-14856	74	7	resnet50	resnet50	NOUN
fcis-14856	74	8	0.501	0.501	NUM
fcis-14856	74	9	googlenet50	googlenet50	NOUN
fcis-14856	74	10	0.492	0.492	NUM
fcis-14856	74	11	efficientnet	efficientnet	NOUN
fcis-14856	74	12	b2	b2	NOUN
fcis-14856	74	13	0.515	0.515	NUM
fcis-14856	74	14	se	se	NOUN
fcis-14856	74	15	-	-	NOUN
fcis-14856	74	16	resnext50	resnext50	NOUN
fcis-14856	74	17	0.520	0.520	NUM
fcis-14856	74	18	5	5	NUM
fcis-14856	74	19	.	.	PUNCT
fcis-14856	74	20	conclusion	conclusion	NOUN
fcis-14856	74	21	in	in	ADP
fcis-14856	74	22	light	light	NOUN
fcis-14856	74	23	of	of	ADP
fcis-14856	74	24	recent	recent	ADJ
fcis-14856	74	25	strides	stride	NOUN
fcis-14856	74	26	in	in	ADP
fcis-14856	74	27	deep	deep	ADJ
fcis-14856	74	28	learning	learning	NOUN
fcis-14856	74	29	model	model	NOUN
fcis-14856	74	30	architectures	architecture	NOUN
fcis-14856	74	31	,	,	PUNCT
fcis-14856	74	32	the	the	DET
fcis-14856	74	33	widespread	widespread	ADJ
fcis-14856	74	34	application	application	NOUN
fcis-14856	74	35	of	of	ADP
fcis-14856	74	36	medical	medical	ADJ
fcis-14856	74	37	-	-	PUNCT
fcis-14856	74	38	assisted	assist	VERB
fcis-14856	74	39	ai	ai	NOUN
fcis-14856	74	40	has	have	AUX
fcis-14856	74	41	significantly	significantly	ADV
fcis-14856	74	42	expanded	expand	VERB
fcis-14856	74	43	.	.	PUNCT
fcis-14856	75	1	acknowledging	acknowledge	VERB
fcis-14856	75	2	the	the	DET
fcis-14856	75	3	existing	exist	VERB
fcis-14856	75	4	limitations	limitation	NOUN
fcis-14856	75	5	in	in	ADP
fcis-14856	75	6	accuracy	accuracy	NOUN
fcis-14856	75	7	within	within	ADP
fcis-14856	75	8	current	current	ADJ
fcis-14856	75	9	models	model	NOUN
fcis-14856	75	10	,	,	PUNCT
fcis-14856	75	11	the	the	DET
fcis-14856	75	12	imperative	imperative	NOUN
fcis-14856	75	13	for	for	ADP
fcis-14856	75	14	high	high	ADJ
fcis-14856	75	15	-	-	PUNCT
fcis-14856	75	16	quality	quality	NOUN
fcis-14856	75	17	models	model	NOUN
fcis-14856	75	18	in	in	ADP
fcis-14856	75	19	subsequent	subsequent	ADJ
fcis-14856	75	20	applications	application	NOUN
fcis-14856	75	21	remains	remain	VERB
fcis-14856	75	22	paramount	paramount	ADJ
fcis-14856	75	23	.	.	PUNCT
fcis-14856	76	1	in	in	ADP
fcis-14856	76	2	this	this	DET
fcis-14856	76	3	study	study	NOUN
fcis-14856	76	4	,	,	PUNCT
fcis-14856	76	5	we	we	PRON
fcis-14856	76	6	conducted	conduct	VERB
fcis-14856	76	7	a	a	DET
fcis-14856	76	8	meticulous	meticulous	ADJ
fcis-14856	76	9	analysis	analysis	NOUN
fcis-14856	76	10	of	of	ADP
fcis-14856	76	11	mammogram	mammogram	NOUN
fcis-14856	76	12	data	datum	NOUN
fcis-14856	76	13	distribution	distribution	NOUN
fcis-14856	76	14	,	,	PUNCT
fcis-14856	76	15	coupled	couple	VERB
fcis-14856	76	16	with	with	ADP
fcis-14856	76	17	insightful	insightful	ADJ
fcis-14856	76	18	data	datum	NOUN
fcis-14856	76	19	visualization	visualization	NOUN
fcis-14856	76	20	.	.	PUNCT
fcis-14856	77	1	subsequently	subsequently	ADV
fcis-14856	77	2	,	,	PUNCT
fcis-14856	77	3	our	our	PRON
fcis-14856	77	4	exploration	exploration	NOUN
fcis-14856	77	5	extended	extend	VERB
fcis-14856	77	6	to	to	ADP
fcis-14856	77	7	assessing	assess	VERB
fcis-14856	77	8	the	the	DET
fcis-14856	77	9	detection	detection	NOUN
fcis-14856	77	10	performance	performance	NOUN
fcis-14856	77	11	using	use	VERB
fcis-14856	77	12	diverse	diverse	ADJ
fcis-14856	77	13	deep	deep	ADJ
fcis-14856	77	14	learning	learning	NOUN
fcis-14856	77	15	models	model	NOUN
fcis-14856	77	16	.	.	PUNCT
fcis-14856	78	1	notably	notably	ADV
fcis-14856	78	2	,	,	PUNCT
fcis-14856	78	3	through	through	ADP
fcis-14856	78	4	innovative	innovative	ADJ
fcis-14856	78	5	enhancements	enhancement	NOUN
fcis-14856	78	6	such	such	ADJ
fcis-14856	78	7	as	as	ADP
fcis-14856	78	8	the	the	DET
fcis-14856	78	9	reevaluation	reevaluation	NOUN
fcis-14856	78	10	of	of	ADP
fcis-14856	78	11	mean	mean	PROPN
fcis-14856	78	12	pooling	pool	VERB
fcis-14856	78	13	and	and	CCONJ
fcis-14856	78	14	the	the	DET
fcis-14856	78	15	adoption	adoption	NOUN
fcis-14856	78	16	of	of	ADP
fcis-14856	78	17	a	a	DET
fcis-14856	78	18	new	new	ADJ
fcis-14856	78	19	optimizer	optimizer	NOUN
fcis-14856	78	20	,	,	PUNCT
fcis-14856	78	21	our	our	PRON
fcis-14856	78	22	model	model	NOUN
fcis-14856	78	23	surpassed	surpass	VERB
fcis-14856	78	24	the	the	DET
fcis-14856	78	25	performance	performance	NOUN
fcis-14856	78	26	of	of	ADP
fcis-14856	78	27	other	other	ADJ
fcis-14856	78	28	existing	exist	VERB
fcis-14856	78	29	models	model	NOUN
fcis-14856	78	30	.	.	PUNCT
fcis-14856	79	1	this	this	DET
fcis-14856	79	2	achievement	achievement	NOUN
fcis-14856	79	3	is	be	AUX
fcis-14856	79	4	underscored	underscore	VERB
fcis-14856	79	5	by	by	ADP
fcis-14856	79	6	a	a	DET
fcis-14856	79	7	weighted	weight	VERB
fcis-14856	79	8	f1	f1	NOUN
fcis-14856	79	9	score	score	NOUN
fcis-14856	79	10	reaching	reach	VERB
fcis-14856	79	11	0.52	0.52	NUM
fcis-14856	79	12	,	,	PUNCT
fcis-14856	79	13	indicative	indicative	ADJ
fcis-14856	79	14	of	of	ADP
fcis-14856	79	15	the	the	DET
fcis-14856	79	16	model	model	NOUN
fcis-14856	79	17	's	's	PART
fcis-14856	79	18	efficacy	efficacy	NOUN
fcis-14856	79	19	in	in	ADP
fcis-14856	79	20	balancing	balance	VERB
fcis-14856	79	21	precision	precision	NOUN
fcis-14856	79	22	and	and	CCONJ
fcis-14856	79	23	recall	recall	NOUN
fcis-14856	79	24	.	.	PUNCT
fcis-14856	80	1	as	as	SCONJ
fcis-14856	80	2	our	our	PRON
fcis-14856	80	3	ongoing	ongoing	ADJ
fcis-14856	80	4	optimization	optimization	NOUN
fcis-14856	80	5	endeavors	endeavor	NOUN
fcis-14856	80	6	unfold	unfold	VERB
fcis-14856	80	7	,	,	PUNCT
fcis-14856	80	8	we	we	PRON
fcis-14856	80	9	posit	posit	VERB
fcis-14856	80	10	that	that	SCONJ
fcis-14856	80	11	the	the	DET
fcis-14856	80	12	landscape	landscape	NOUN
fcis-14856	80	13	of	of	ADP
fcis-14856	80	14	breast	breast	NOUN
fcis-14856	80	15	cancer	cancer	NOUN
fcis-14856	80	16	detection	detection	NOUN
fcis-14856	80	17	holds	hold	VERB
fcis-14856	80	18	great	great	ADJ
fcis-14856	80	19	promise	promise	NOUN
fcis-14856	80	20	for	for	ADP
fcis-14856	80	21	the	the	DET
fcis-14856	80	22	future	future	NOUN
fcis-14856	80	23	.	.	PUNCT
fcis-14856	81	1	the	the	DET
fcis-14856	81	2	continual	continual	ADJ
fcis-14856	81	3	refinement	refinement	NOUN
fcis-14856	81	4	of	of	ADP
fcis-14856	81	5	our	our	PRON
fcis-14856	81	6	model	model	NOUN
fcis-14856	81	7	stands	stand	VERB
fcis-14856	81	8	as	as	ADP
fcis-14856	81	9	a	a	DET
fcis-14856	81	10	testament	testament	NOUN
fcis-14856	81	11	to	to	ADP
fcis-14856	81	12	the	the	DET
fcis-14856	81	13	potential	potential	NOUN
fcis-14856	81	14	for	for	ADP
fcis-14856	81	15	further	further	ADJ
fcis-14856	81	16	advancements	advancement	NOUN
fcis-14856	81	17	in	in	ADP
fcis-14856	81	18	accuracy	accuracy	NOUN
fcis-14856	81	19	and	and	CCONJ
fcis-14856	81	20	robustness	robustness	NOUN
fcis-14856	81	21	,	,	PUNCT
fcis-14856	81	22	paving	pave	VERB
fcis-14856	81	23	the	the	DET
fcis-14856	81	24	way	way	NOUN
fcis-14856	81	25	for	for	ADP
fcis-14856	81	26	increasingly	increasingly	ADV
fcis-14856	81	27	effective	effective	ADJ
fcis-14856	81	28	medical	medical	ADJ
fcis-14856	81	29	ai	ai	PROPN
fcis-14856	81	30	applications	application	NOUN
fcis-14856	81	31	in	in	ADP
fcis-14856	81	32	the	the	DET
fcis-14856	81	33	imminent	imminent	ADJ
fcis-14856	81	34	future	future	NOUN
fcis-14856	81	35	.	.	PUNCT
fcis-14856	82	1	references	reference	NOUN
fcis-14856	82	2	[	[	X
fcis-14856	82	3	1	1	NUM
fcis-14856	82	4	]	]	PUNCT
fcis-14856	82	5	fear	fear	NOUN
fcis-14856	82	6	,	,	PUNCT
fcis-14856	82	7	elise	elise	PROPN
fcis-14856	82	8	c.	c.	PROPN
fcis-14856	82	9	,	,	PUNCT
fcis-14856	82	10	paul	paul	PROPN
fcis-14856	82	11	m.	m.	PROPN
fcis-14856	82	12	meaney	meaney	PROPN
fcis-14856	82	13	,	,	PUNCT
fcis-14856	82	14	and	and	CCONJ
fcis-14856	82	15	maria	maria	PROPN
fcis-14856	82	16	a.	a.	PROPN
fcis-14856	82	17	stuchly	stuchly	ADV
fcis-14856	82	18	.	.	PUNCT
fcis-14856	83	1	"	"	PUNCT
fcis-14856	83	2	microwaves	microwave	NOUN
fcis-14856	83	3	for	for	ADP
fcis-14856	83	4	breast	breast	NOUN
fcis-14856	83	5	cancer	cancer	NOUN
fcis-14856	83	6	detection	detection	NOUN
fcis-14856	83	7	?	?	PUNCT
fcis-14856	83	8	.	.	PUNCT
fcis-14856	83	9	"	"	PUNCT
fcis-14856	84	1	ieee	ieee	NOUN
fcis-14856	84	2	potentials	potential	VERB
fcis-14856	84	3	22.1	22.1	NUM
fcis-14856	84	4	(	(	PUNCT
fcis-14856	84	5	2003	2003	NUM
fcis-14856	84	6	):	):	PUNCT
fcis-14856	84	7	12	12	NUM
fcis-14856	84	8	-	-	SYM
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fcis-14856	84	10	.	.	PUNCT
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fcis-14856	85	11	.	.	PUNCT
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fcis-14856	87	5	)	)	PUNCT
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fcis-14856	91	12	.	.	PUNCT
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fcis-14856	92	29	.	.	PUNCT
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fcis-14856	93	5	.	.	PUNCT
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fcis-14856	93	7	..	..	PUNCT
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fcis-14856	110	8	in	in	ADP
fcis-14856	110	9	logistics[j	logistics[j	PROPN
fcis-14856	110	10	]	]	PUNCT
fcis-14856	110	11	.	.	PUNCT
fcis-14856	111	1	journal	journal	PROPN
fcis-14856	111	2	of	of	ADP
fcis-14856	111	3	theory	theory	NOUN
fcis-14856	111	4	and	and	CCONJ
fcis-14856	111	5	practice	practice	NOUN
fcis-14856	111	6	of	of	ADP
fcis-14856	111	7	engineering	engineering	NOUN
fcis-14856	111	8	science	science	NOUN
fcis-14856	111	9	,	,	PUNCT
fcis-14856	111	10	2023	2023	NUM
fcis-14856	111	11	,	,	PUNCT
fcis-14856	111	12	3(10	3(10	NUM
fcis-14856	111	13	):	):	PUNCT
fcis-14856	111	14	36	36	NUM
fcis-14856	111	15	-	-	SYM
fcis-14856	111	16	41	41	NUM
fcis-14856	111	17	.	.	PUNCT
fcis-14856	112	1	[	[	X
fcis-14856	112	2	12	12	NUM
fcis-14856	112	3	]	]	SYM
fcis-14856	112	4	hu	hu	PROPN
fcis-14856	112	5	,	,	PUNCT
fcis-14856	112	6	j.	j.	PROPN
fcis-14856	112	7	,	,	PUNCT
fcis-14856	112	8	shen	shen	PROPN
fcis-14856	112	9	,	,	PUNCT
fcis-14856	112	10	l.	l.	PROPN
fcis-14856	112	11	,	,	PUNCT
fcis-14856	112	12	&	&	CCONJ
fcis-14856	112	13	sun	sun	PROPN
fcis-14856	112	14	,	,	PUNCT
fcis-14856	112	15	g.	g.	PROPN
fcis-14856	112	16	(	(	PUNCT
fcis-14856	112	17	2018	2018	NUM
fcis-14856	112	18	)	)	PUNCT
fcis-14856	112	19	.	.	PUNCT
fcis-14856	113	1	squeeze	squeeze	NOUN
fcis-14856	113	2	-	-	PUNCT
fcis-14856	113	3	and	and	CCONJ
fcis-14856	113	4	-	-	PUNCT
fcis-14856	113	5	excitation	excitation	NOUN
fcis-14856	113	6	networks	network	NOUN
fcis-14856	113	7	.	.	PUNCT
fcis-14856	114	1	in	in	ADP
fcis-14856	114	2	proceedings	proceeding	NOUN
fcis-14856	114	3	of	of	ADP
fcis-14856	114	4	the	the	DET
fcis-14856	114	5	ieee	ieee	NOUN
fcis-14856	114	6	conference	conference	NOUN
fcis-14856	114	7	on	on	ADP
fcis-14856	114	8	computer	computer	NOUN
fcis-14856	114	9	vision	vision	NOUN
fcis-14856	114	10	and	and	CCONJ
fcis-14856	114	11	pattern	pattern	NOUN
fcis-14856	114	12	recognition	recognition	NOUN
fcis-14856	114	13	(	(	PUNCT
fcis-14856	114	14	pp	pp	ADJ
fcis-14856	114	15	.	.	PUNCT
fcis-14856	114	16	7132	7132	NUM
fcis-14856	114	17	-	-	SYM
fcis-14856	114	18	7141	7141	NUM
fcis-14856	114	19	)	)	PUNCT
fcis-14856	114	20	.	.	PUNCT
fcis-14856	115	1	[	[	X
fcis-14856	115	2	13	13	NUM
fcis-14856	115	3	]	]	SYM
fcis-14856	115	4	tianbo	tianbo	NOUN
fcis-14856	115	5	,	,	PUNCT
fcis-14856	115	6	song	song	NOUN
fcis-14856	115	7	,	,	PUNCT
fcis-14856	115	8	hu	hu	PROPN
fcis-14856	115	9	weijun	weijun	PROPN
fcis-14856	115	10	,	,	PUNCT
fcis-14856	115	11	cai	cai	PROPN
fcis-14856	115	12	jiangfeng	jiangfeng	PROPN
fcis-14856	115	13	,	,	PUNCT
fcis-14856	115	14	liu	liu	PROPN
fcis-14856	115	15	weijia	weijia	PROPN
fcis-14856	115	16	,	,	PUNCT
fcis-14856	115	17	yuan	yuan	PROPN
fcis-14856	115	18	quan	quan	PROPN
fcis-14856	115	19	,	,	PUNCT
fcis-14856	115	20	and	and	CCONJ
fcis-14856	115	21	he	he	PRON
fcis-14856	115	22	kun	kun	NOUN
fcis-14856	115	23	.	.	PUNCT
fcis-14856	116	1	"	"	PUNCT
fcis-14856	116	2	bio	bio	ADJ
fcis-14856	116	3	-	-	PUNCT
fcis-14856	116	4	inspired	inspired	ADJ
fcis-14856	116	5	swarm	swarm	NOUN
fcis-14856	116	6	intelligence	intelligence	NOUN
fcis-14856	116	7	:	:	PUNCT
fcis-14856	116	8	a	a	DET
fcis-14856	116	9	flocking	flock	VERB
fcis-14856	116	10	project	project	NOUN
fcis-14856	116	11	with	with	ADP
fcis-14856	116	12	group	group	NOUN
fcis-14856	116	13	object	object	NOUN
fcis-14856	116	14	recognition	recognition	NOUN
fcis-14856	116	15	.	.	PUNCT
fcis-14856	116	16	"	"	PUNCT
fcis-14856	117	1	in	in	ADP
fcis-14856	117	2	2023	2023	NUM
fcis-14856	117	3	3rd	3rd	ADJ
fcis-14856	117	4	international	international	ADJ
fcis-14856	117	5	conference	conference	NOUN
fcis-14856	117	6	on	on	ADP
fcis-14856	117	7	consumer	consumer	NOUN
fcis-14856	117	8	electronics	electronic	NOUN
fcis-14856	117	9	and	and	CCONJ
fcis-14856	117	10	computer	computer	NOUN
fcis-14856	117	11	engineering	engineering	NOUN
fcis-14856	117	12	(	(	PUNCT
fcis-14856	117	13	iccece	iccece	PROPN
fcis-14856	117	14	)	)	PUNCT
fcis-14856	117	15	,	,	PUNCT
fcis-14856	117	16	pp	pp	PROPN
fcis-14856	117	17	.	.	PUNCT
fcis-14856	118	1	834	834	NUM
fcis-14856	118	2	-	-	SYM
fcis-14856	118	3	837	837	NUM
fcis-14856	118	4	.	.	PUNCT
fcis-14856	119	1	ieee	ieee	NOUN
fcis-14856	119	2	,	,	PUNCT
fcis-14856	119	3	2023	2023	NUM
fcis-14856	119	4	.	.	PUNCT
fcis-14856	120	1	[	[	X
fcis-14856	120	2	14	14	NUM
fcis-14856	120	3	]	]	X
fcis-14856	120	4	chang	chang	PROPN
fcis-14856	120	5	che	che	PROPN
fcis-14856	120	6	,	,	PUNCT
fcis-14856	120	7	bo	bo	PROPN
fcis-14856	120	8	liu	liu	PROPN
fcis-14856	120	9	,	,	PUNCT
fcis-14856	120	10	shulin	shulin	PROPN
fcis-14856	120	11	li	li	PROPN
fcis-14856	120	12	,	,	PUNCT
fcis-14856	120	13	jiaxin	jiaxin	PROPN
fcis-14856	120	14	huang	huang	PROPN
fcis-14856	120	15	,	,	PUNCT
fcis-14856	120	16	and	and	CCONJ
fcis-14856	120	17	hao	hao	PROPN
fcis-14856	120	18	hu	hu	PROPN
fcis-14856	120	19	.	.	PUNCT
fcis-14856	121	1	deep	deep	ADJ
fcis-14856	121	2	learning	learning	NOUN
fcis-14856	121	3	for	for	ADP
fcis-14856	121	4	precise	precise	ADJ
fcis-14856	121	5	robot	robot	NOUN
fcis-14856	121	6	position	position	NOUN
fcis-14856	121	7	prediction	prediction	NOUN
fcis-14856	121	8	in	in	ADP
fcis-14856	121	9	logistics	logistic	NOUN
fcis-14856	121	10	.	.	PUNCT
fcis-14856	122	1	journal	journal	PROPN
fcis-14856	122	2	of	of	ADP
fcis-14856	122	3	theory	theory	NOUN
fcis-14856	122	4	and	and	CCONJ
fcis-14856	122	5	practice	practice	NOUN
fcis-14856	122	6	of	of	ADP
fcis-14856	122	7	engineering	engineering	NOUN
fcis-14856	122	8	science	science	NOUN
fcis-14856	122	9	,	,	PUNCT
fcis-14856	122	10	3(10):36–41	3(10):36–41	NUM
fcis-14856	122	11	,	,	PUNCT
fcis-14856	122	12	2023	2023	NUM
fcis-14856	122	13	.	.	PUNCT
fcis-14856	123	1	[	[	X
fcis-14856	123	2	15	15	NUM
fcis-14856	123	3	]	]	X
fcis-14856	123	4	kingma	kingma	PROPN
fcis-14856	123	5	,	,	PUNCT
fcis-14856	123	6	d.	d.	PROPN
fcis-14856	123	7	p.	p.	PROPN
fcis-14856	123	8	,	,	PUNCT
fcis-14856	123	9	&	&	CCONJ
fcis-14856	123	10	ba	ba	PROPN
fcis-14856	123	11	,	,	PUNCT
fcis-14856	123	12	j.	j.	PROPN
fcis-14856	123	13	(	(	PUNCT
fcis-14856	123	14	2014	2014	NUM
fcis-14856	123	15	)	)	PUNCT
fcis-14856	123	16	.	.	PUNCT
fcis-14856	124	1	adam	adam	PROPN
fcis-14856	124	2	:	:	PUNCT
fcis-14856	124	3	a	a	DET
fcis-14856	124	4	method	method	NOUN
fcis-14856	124	5	for	for	ADP
fcis-14856	124	6	stochastic	stochastic	ADJ
fcis-14856	124	7	optimization	optimization	NOUN
fcis-14856	124	8	.	.	PUNCT
fcis-14856	125	1	arxiv	arxiv	PROPN
fcis-14856	125	2	preprint	preprint	VERB
fcis-14856	125	3	arxiv:1412.6980	arxiv:1412.6980	NOUN
fcis-14856	125	4	.	.	PUNCT
fcis-14856	126	1	102	102	NUM
fcis-14856	127	1	[	[	X
fcis-14856	127	2	16	16	NUM
fcis-14856	127	3	]	]	X
fcis-14856	127	4	tan	tan	PROPN
fcis-14856	127	5	,	,	PUNCT
fcis-14856	127	6	m.	m.	NOUN
fcis-14856	127	7	,	,	PUNCT
fcis-14856	127	8	&	&	CCONJ
fcis-14856	127	9	le	le	PROPN
fcis-14856	127	10	,	,	PUNCT
fcis-14856	127	11	q.	q.	PROPN
fcis-14856	127	12	(	(	PUNCT
fcis-14856	127	13	2019	2019	NUM
fcis-14856	127	14	,	,	PUNCT
fcis-14856	127	15	may	may	AUX
fcis-14856	127	16	)	)	PUNCT
fcis-14856	127	17	.	.	PUNCT
fcis-14856	128	1	efficientnet	efficientnet	PROPN
fcis-14856	128	2	:	:	PUNCT
fcis-14856	128	3	rethinking	rethink	VERB
fcis-14856	128	4	model	model	NOUN
fcis-14856	128	5	scaling	scale	VERB
fcis-14856	128	6	for	for	ADP
fcis-14856	128	7	convolutional	convolutional	ADJ
fcis-14856	128	8	neural	neural	ADJ
fcis-14856	128	9	networks	network	NOUN
fcis-14856	128	10	.	.	PUNCT
fcis-14856	129	1	in	in	ADP
fcis-14856	129	2	international	international	ADJ
fcis-14856	129	3	conference	conference	NOUN
fcis-14856	129	4	on	on	ADP
fcis-14856	129	5	machine	machine	NOUN
fcis-14856	129	6	learning	learning	NOUN
fcis-14856	129	7	(	(	PUNCT
fcis-14856	129	8	pp	pp	ADJ
fcis-14856	129	9	.	.	PUNCT
fcis-14856	130	1	6105	6105	NUM
fcis-14856	130	2	-	-	PUNCT
fcis-14856	130	3	6114	6114	NUM
fcis-14856	130	4	)	)	PUNCT
fcis-14856	130	5	.	.	PUNCT
fcis-14856	131	1	pmlr	pmlr	NOUN
fcis-14856	131	2	.	.	PUNCT
fcis-14856	132	1	[	[	X
fcis-14856	132	2	17	17	NUM
fcis-14856	132	3	]	]	X
fcis-14856	132	4	szegedy	szegedy	PROPN
fcis-14856	132	5	,	,	PUNCT
fcis-14856	132	6	c.	c.	PROPN
fcis-14856	132	7	,	,	PUNCT
fcis-14856	132	8	liu	liu	PROPN
fcis-14856	132	9	,	,	PUNCT
fcis-14856	132	10	w.	w.	PROPN
fcis-14856	132	11	,	,	PUNCT
fcis-14856	132	12	jia	jia	PROPN
fcis-14856	132	13	,	,	PUNCT
fcis-14856	132	14	y.	y.	PROPN
fcis-14856	132	15	,	,	PUNCT
fcis-14856	132	16	sermanet	sermanet	NOUN
fcis-14856	132	17	,	,	PUNCT
fcis-14856	132	18	p.	p.	PROPN
fcis-14856	132	19	,	,	PUNCT
fcis-14856	132	20	reed	reed	PROPN
fcis-14856	132	21	,	,	PUNCT
fcis-14856	132	22	s.	s.	PROPN
fcis-14856	132	23	,	,	PUNCT
fcis-14856	132	24	anguelov	anguelov	PROPN
fcis-14856	132	25	,	,	PUNCT
fcis-14856	132	26	d.	d.	PROPN
fcis-14856	132	27	,	,	PUNCT
fcis-14856	132	28	...	...	PUNCT
fcis-14856	132	29	&	&	CCONJ
fcis-14856	132	30	rabinovich	rabinovich	PROPN
fcis-14856	132	31	,	,	PUNCT
fcis-14856	132	32	a.	a.	PROPN
fcis-14856	132	33	(	(	PUNCT
fcis-14856	132	34	2015	2015	NUM
fcis-14856	132	35	)	)	PUNCT
fcis-14856	132	36	.	.	PUNCT
fcis-14856	133	1	going	go	VERB
fcis-14856	133	2	deeper	deeply	ADV
fcis-14856	133	3	with	with	ADP
fcis-14856	133	4	convolutions	convolution	NOUN
fcis-14856	133	5	.	.	PUNCT
fcis-14856	134	1	in	in	ADP
fcis-14856	134	2	proceedings	proceeding	NOUN
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fcis-14856	134	4	the	the	DET
fcis-14856	134	5	ieee	ieee	NOUN
fcis-14856	134	6	conference	conference	NOUN
fcis-14856	134	7	on	on	ADP
fcis-14856	134	8	computer	computer	NOUN
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fcis-14856	134	13	(	(	PUNCT
fcis-14856	134	14	pp	pp	ADJ
fcis-14856	134	15	.	.	PUNCT
fcis-14856	135	1	1	1	NUM
fcis-14856	135	2	-	-	SYM
fcis-14856	135	3	9	9	NUM
fcis-14856	135	4	)	)	PUNCT
fcis-14856	135	5	.	.	PUNCT
fcis-14856	136	1	[	[	X
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fcis-14856	136	3	]	]	X
fcis-14856	136	4	lin	lin	PROPN
fcis-14856	136	5	,	,	PUNCT
fcis-14856	136	6	q.	q.	PROPN
fcis-14856	136	7	,	,	PUNCT
fcis-14856	136	8	che	che	PROPN
fcis-14856	136	9	,	,	PUNCT
fcis-14856	136	10	c.	c.	PROPN
fcis-14856	136	11	,	,	PUNCT
fcis-14856	136	12	hu	hu	PROPN
fcis-14856	136	13	,	,	PUNCT
fcis-14856	136	14	h.	h.	PROPN
fcis-14856	136	15	,	,	PUNCT
fcis-14856	136	16	zhao	zhao	PROPN
fcis-14856	136	17	,	,	PUNCT
fcis-14856	136	18	x.	x.	PROPN
fcis-14856	136	19	,	,	PUNCT
fcis-14856	136	20	&	&	CCONJ
fcis-14856	136	21	li	li	PROPN
fcis-14856	136	22	,	,	PUNCT
fcis-14856	136	23	s.	s.	PROPN
fcis-14856	136	24	(	(	PUNCT
fcis-14856	136	25	2023	2023	NUM
fcis-14856	136	26	)	)	PUNCT
fcis-14856	136	27	.	.	PUNCT
fcis-14856	137	1	a	a	DET
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fcis-14856	137	4	on	on	ADP
fcis-14856	137	5	early	early	PROPN
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fcis-14856	137	7	’s	’s	PART
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fcis-14856	137	9	detection	detection	NOUN
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fcis-14856	137	11	advanced	advanced	ADJ
fcis-14856	137	12	machine	machine	NOUN
fcis-14856	137	13	learning	learn	VERB
fcis-14856	137	14	techniques	technique	NOUN
fcis-14856	137	15	on	on	ADP
fcis-14856	137	16	mri	mri	NOUN
fcis-14856	137	17	data	datum	NOUN
fcis-14856	137	18	.	.	PUNCT
fcis-14856	138	1	academic	academic	ADJ
fcis-14856	138	2	journal	journal	NOUN
fcis-14856	138	3	of	of	ADP
fcis-14856	138	4	science	science	NOUN
fcis-14856	138	5	and	and	CCONJ
fcis-14856	138	6	technology	technology	NOUN
fcis-14856	138	7	,	,	PUNCT
fcis-14856	138	8	8(1	8(1	NOUN
fcis-14856	138	9	)	)	PUNCT
fcis-14856	138	10	,	,	PUNCT
fcis-14856	138	11	281–285	281–285	NUM
fcis-14856	138	12	.	.	PUNCT
fcis-14856	139	1	[	[	X
fcis-14856	139	2	19	19	NUM
fcis-14856	139	3	]	]	PUNCT
fcis-14856	139	4	s.	s.	PROPN
fcis-14856	139	5	tianbo	tianbo	PROPN
fcis-14856	139	6	,	,	PUNCT
fcis-14856	139	7	h.	h.	PROPN
fcis-14856	139	8	weijun	weijun	PROPN
fcis-14856	139	9	,	,	PUNCT
fcis-14856	139	10	c.	c.	PROPN
fcis-14856	139	11	jiangfeng	jiangfeng	PROPN
fcis-14856	139	12	,	,	PUNCT
fcis-14856	139	13	l.	l.	PROPN
fcis-14856	139	14	weijia	weijia	PROPN
fcis-14856	139	15	,	,	PUNCT
fcis-14856	139	16	y.	y.	PROPN
fcis-14856	139	17	quan	quan	PROPN
fcis-14856	139	18	and	and	CCONJ
fcis-14856	139	19	h.	h.	PROPN
fcis-14856	139	20	kun	kun	PROPN
fcis-14856	139	21	,	,	PUNCT
fcis-14856	139	22	"	"	PUNCT
fcis-14856	139	23	bio	bio	ADJ
fcis-14856	139	24	-	-	PUNCT
fcis-14856	139	25	inspired	inspired	ADJ
fcis-14856	139	26	swarm	swarm	NOUN
fcis-14856	139	27	intelligence	intelligence	NOUN
fcis-14856	139	28	:	:	PUNCT
fcis-14856	139	29	a	a	DET
fcis-14856	139	30	flocking	flock	VERB
fcis-14856	139	31	project	project	NOUN
fcis-14856	139	32	with	with	ADP
fcis-14856	139	33	group	group	NOUN
fcis-14856	139	34	object	object	NOUN
fcis-14856	139	35	recognition	recognition	NOUN
fcis-14856	139	36	,	,	PUNCT
fcis-14856	139	37	"	"	PUNCT
fcis-14856	139	38	2023	2023	NUM
fcis-14856	139	39	3rd	3rd	ADJ
fcis-14856	139	40	international	international	ADJ
fcis-14856	139	41	conference	conference	NOUN
fcis-14856	139	42	on	on	ADP
fcis-14856	139	43	consumer	consumer	NOUN
fcis-14856	139	44	electronics	electronic	NOUN
fcis-14856	139	45	and	and	CCONJ
fcis-14856	139	46	computer	computer	NOUN
fcis-14856	139	47	engineering	engineering	NOUN
fcis-14856	139	48	(	(	PUNCT
fcis-14856	139	49	iccece	iccece	PROPN
fcis-14856	139	50	)	)	PUNCT
fcis-14856	139	51	,	,	PUNCT
fcis-14856	139	52	guangzhou	guangzhou	PROPN
fcis-14856	139	53	,	,	PUNCT
fcis-14856	139	54	china	china	PROPN
fcis-14856	139	55	,	,	PUNCT
fcis-14856	139	56	2023	2023	NUM
fcis-14856	139	57	,	,	PUNCT
fcis-14856	139	58	pp	pp	ADJ
fcis-14856	139	59	.	.	PUNCT
fcis-14856	139	60	834	834	NUM
fcis-14856	139	61	-	-	SYM
fcis-14856	139	62	837	837	NUM
fcis-14856	139	63	,	,	PUNCT
fcis-14856	139	64	doi	doi	NOUN
fcis-14856	139	65	:	:	PUNCT
fcis-14856	139	66	10.1109	10.1109	NUM
fcis-14856	139	67	/	/	SYM
fcis-14856	139	68	iccece58074.2023.10135464	iccece58074.2023.10135464	PROPN
fcis-14856	139	69	.	.	PUNCT