id	sid	tid	token	lemma	pos
cana-3406	1	1	communications	communication	NOUN
cana-3406	1	2	on	on	ADP
cana-3406	1	3	applied	apply	VERB
cana-3406	1	4	nonlinear	nonlinear	ADJ
cana-3406	1	5	analysis	analysis	NOUN
cana-3406	1	6	issn	issn	NOUN
cana-3406	1	7	:	:	PUNCT
cana-3406	1	8	1074	1074	NUM
cana-3406	1	9	-	-	PUNCT
cana-3406	1	10	133x	133x	NUM
cana-3406	1	11	vol	vol	NOUN
cana-3406	1	12	32	32	NUM
cana-3406	1	13	no	no	NOUN
cana-3406	1	14	.	.	PUNCT
cana-3406	2	1	7s	7	NOUN
cana-3406	2	2	(	(	PUNCT
cana-3406	2	3	2025	2025	NUM
cana-3406	2	4	)	)	PUNCT
cana-3406	2	5	305	305	NUM
cana-3406	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3406	2	7	early	early	ADJ
cana-3406	2	8	2024	2024	NUM
cana-3406	2	9	research	research	NOUN
cana-3406	2	10	on	on	ADP
cana-3406	2	11	recent	recent	ADJ
cana-3406	2	12	advances	advance	NOUN
cana-3406	2	13	in	in	ADP
cana-3406	2	14	the	the	DET
cana-3406	2	15	diagnosis	diagnosis	NOUN
cana-3406	2	16	of	of	ADP
cana-3406	2	17	breast	breast	NOUN
cana-3406	2	18	cancer	cancer	NOUN
cana-3406	2	19	leveraging	leverage	VERB
cana-3406	2	20	deep	deep	ADJ
cana-3406	2	21	learning	learning	NOUN
cana-3406	2	22	techniques	technique	NOUN
cana-3406	2	23	ishita	ishita	VERB
cana-3406	2	24	rana1	rana1	PROPN
cana-3406	2	25	,	,	PUNCT
cana-3406	2	26	dr	dr	PROPN
cana-3406	2	27	.	.	PROPN
cana-3406	2	28	jaimeel	jaimeel	PROPN
cana-3406	3	1	shah2	shah2	PROPN
cana-3406	3	2	,	,	PUNCT
cana-3406	3	3	dr	dr	PROPN
cana-3406	3	4	.	.	PROPN
cana-3406	3	5	amit	amit	PROPN
cana-3406	3	6	ganatra3	ganatra3	PROPN
cana-3406	3	7	,	,	PUNCT
cana-3406	3	8	dr	dr	PROPN
cana-3406	3	9	.	.	PROPN
cana-3406	3	10	hardik	hardik	PROPN
cana-3406	3	11	variya4	variya4	PROPN
cana-3406	3	12	1phd	1phd	NUM
cana-3406	3	13	scholar	scholar	NOUN
cana-3406	3	14	,	,	PUNCT
cana-3406	3	15	computer	computer	NOUN
cana-3406	3	16	science	science	NOUN
cana-3406	3	17	and	and	CCONJ
cana-3406	3	18	engineering	engineering	NOUN
cana-3406	3	19	,	,	PUNCT
cana-3406	3	20	parul	parul	PROPN
cana-3406	3	21	university	university	PROPN
cana-3406	3	22	,	,	PUNCT
cana-3406	3	23	vadodara	vadodara	PROPN
cana-3406	3	24	,	,	PUNCT
cana-3406	3	25	india	india	PROPN
cana-3406	3	26	2associate	2associate	PROPN
cana-3406	3	27	professor	professor	NOUN
cana-3406	3	28	,	,	PUNCT
cana-3406	3	29	computer	computer	NOUN
cana-3406	3	30	science	science	NOUN
cana-3406	3	31	and	and	CCONJ
cana-3406	3	32	engineering	engineering	NOUN
cana-3406	3	33	,	,	PUNCT
cana-3406	3	34	parul	parul	PROPN
cana-3406	3	35	university	university	PROPN
cana-3406	3	36	,	,	PUNCT
cana-3406	3	37	vadodara	vadodara	PROPN
cana-3406	3	38	,	,	PUNCT
cana-3406	3	39	india	india	PROPN
cana-3406	3	40	3provost	3provost	NUM
cana-3406	3	41	,	,	PUNCT
cana-3406	3	42	parul	parul	PROPN
cana-3406	3	43	university	university	PROPN
cana-3406	3	44	,	,	PUNCT
cana-3406	3	45	vadodara	vadodara	PROPN
cana-3406	3	46	,	,	PUNCT
cana-3406	3	47	india	india	PROPN
cana-3406	3	48	4associate	4associate	PROPN
cana-3406	3	49	professor	professor	NOUN
cana-3406	3	50	,	,	PUNCT
cana-3406	3	51	shalya	shalya	NOUN
cana-3406	3	52	tantra	tantra	PROPN
cana-3406	3	53	,	,	PUNCT
cana-3406	3	54	kpgu	kpgu	PROPN
cana-3406	3	55	university	university	PROPN
cana-3406	3	56	,	,	PUNCT
cana-3406	3	57	vadodara	vadodara	PROPN
cana-3406	3	58	,	,	PUNCT
cana-3406	3	59	india	india	PROPN
cana-3406	3	60	article	article	NOUN
cana-3406	3	61	history	history	NOUN
cana-3406	3	62	:	:	PUNCT
cana-3406	3	63	received	receive	VERB
cana-3406	3	64	:	:	PUNCT
cana-3406	3	65	23	23	NUM
cana-3406	3	66	-	-	SYM
cana-3406	3	67	10	10	NUM
cana-3406	3	68	-	-	PUNCT
cana-3406	3	69	2024	2024	NUM
cana-3406	3	70	revised	revise	VERB
cana-3406	3	71	:	:	PUNCT
cana-3406	3	72	09	09	NUM
cana-3406	3	73	-	-	SYM
cana-3406	3	74	11	11	NUM
cana-3406	3	75	-	-	PUNCT
cana-3406	3	76	2024	2024	NUM
cana-3406	3	77	accepted:17	accepted:17	VERB
cana-3406	3	78	-	-	PUNCT
cana-3406	3	79	12	12	NUM
cana-3406	3	80	-	-	PUNCT
cana-3406	3	81	2024	2024	NUM
cana-3406	3	82	abstract	abstract	NOUN
cana-3406	3	83	:	:	PUNCT
cana-3406	3	84	breast	breast	NOUN
cana-3406	3	85	cancer	cancer	NOUN
cana-3406	3	86	(	(	PUNCT
cana-3406	3	87	brc	brc	NOUN
cana-3406	3	88	)	)	PUNCT
cana-3406	3	89	is	be	AUX
cana-3406	3	90	still	still	ADV
cana-3406	3	91	a	a	DET
cana-3406	3	92	serious	serious	ADJ
cana-3406	3	93	worldwide	worldwide	ADJ
cana-3406	3	94	health	health	NOUN
cana-3406	3	95	issue	issue	NOUN
cana-3406	3	96	,	,	PUNCT
cana-3406	3	97	requiring	require	VERB
cana-3406	3	98	innovative	innovative	ADJ
cana-3406	3	99	methods	method	NOUN
cana-3406	3	100	of	of	ADP
cana-3406	3	101	early	early	ADJ
cana-3406	3	102	detection	detection	NOUN
cana-3406	3	103	to	to	PART
cana-3406	3	104	enhance	enhance	VERB
cana-3406	3	105	patient	patient	ADJ
cana-3406	3	106	outcomes	outcome	NOUN
cana-3406	3	107	.	.	PUNCT
cana-3406	4	1	if	if	SCONJ
cana-3406	4	2	brc	brc	PROPN
cana-3406	4	3	is	be	AUX
cana-3406	4	4	detected	detect	VERB
cana-3406	4	5	and	and	CCONJ
cana-3406	4	6	treated	treat	VERB
cana-3406	4	7	early	early	ADV
cana-3406	4	8	,	,	PUNCT
cana-3406	4	9	there	there	PRON
cana-3406	4	10	is	be	VERB
cana-3406	4	11	a	a	DET
cana-3406	4	12	strong	strong	ADJ
cana-3406	4	13	chance	chance	NOUN
cana-3406	4	14	that	that	SCONJ
cana-3406	4	15	the	the	DET
cana-3406	4	16	patient	patient	NOUN
cana-3406	4	17	will	will	AUX
cana-3406	4	18	recover	recover	VERB
cana-3406	4	19	.	.	PUNCT
cana-3406	5	1	in	in	ADP
cana-3406	5	2	order	order	NOUN
cana-3406	5	3	to	to	PART
cana-3406	5	4	predict	predict	VERB
cana-3406	5	5	the	the	DET
cana-3406	5	6	growing	growing	NOUN
cana-3406	5	7	of	of	ADP
cana-3406	5	8	cancer	cancer	NOUN
cana-3406	5	9	cells	cell	NOUN
cana-3406	5	10	using	use	VERB
cana-3406	5	11	medical	medical	ADJ
cana-3406	5	12	imaging	imaging	NOUN
cana-3406	5	13	modalities	modality	NOUN
cana-3406	5	14	,	,	PUNCT
cana-3406	5	15	a	a	DET
cana-3406	5	16	number	number	NOUN
cana-3406	5	17	of	of	ADP
cana-3406	5	18	researchers	researcher	NOUN
cana-3406	5	19	have	have	AUX
cana-3406	5	20	developed	develop	VERB
cana-3406	5	21	automated	automate	VERB
cana-3406	5	22	dl	dl	NOUN
cana-3406	5	23	-	-	PUNCT
cana-3406	5	24	based	base	VERB
cana-3406	5	25	approaches	approach	NOUN
cana-3406	5	26	that	that	PRON
cana-3406	5	27	are	be	AUX
cana-3406	5	28	effective	effective	ADJ
cana-3406	5	29	and	and	CCONJ
cana-3406	5	30	accurate	accurate	ADJ
cana-3406	5	31	.	.	PUNCT
cana-3406	6	1	there	there	PRON
cana-3406	6	2	are	be	VERB
cana-3406	6	3	currently	currently	ADV
cana-3406	6	4	very	very	ADV
cana-3406	6	5	few	few	ADJ
cana-3406	6	6	review	review	NOUN
cana-3406	6	7	studies	study	NOUN
cana-3406	6	8	that	that	PRON
cana-3406	6	9	provide	provide	VERB
cana-3406	6	10	an	an	DET
cana-3406	6	11	overview	overview	NOUN
cana-3406	6	12	of	of	ADP
cana-3406	6	13	some	some	PRON
cana-3406	6	14	of	of	ADP
cana-3406	6	15	the	the	DET
cana-3406	6	16	existing	exist	VERB
cana-3406	6	17	research	research	NOUN
cana-3406	6	18	on	on	ADP
cana-3406	6	19	brc	brc	NOUN
cana-3406	6	20	diagnosis	diagnosis	NOUN
cana-3406	6	21	.	.	PUNCT
cana-3406	7	1	emerging	emerge	VERB
cana-3406	7	2	architectures	architecture	NOUN
cana-3406	7	3	and	and	CCONJ
cana-3406	7	4	modalities	modality	NOUN
cana-3406	7	5	in	in	ADP
cana-3406	7	6	the	the	DET
cana-3406	7	7	diagnosis	diagnosis	NOUN
cana-3406	7	8	of	of	ADP
cana-3406	7	9	brc	brc	NOUN
cana-3406	7	10	,	,	PUNCT
cana-3406	7	11	however	however	ADV
cana-3406	7	12	,	,	PUNCT
cana-3406	7	13	were	be	AUX
cana-3406	7	14	not	not	PART
cana-3406	7	15	covered	cover	VERB
cana-3406	7	16	by	by	ADP
cana-3406	7	17	this	this	DET
cana-3406	7	18	research	research	NOUN
cana-3406	7	19	.	.	PUNCT
cana-3406	8	1	this	this	DET
cana-3406	8	2	review	review	NOUN
cana-3406	8	3	canters	canter	VERB
cana-3406	8	4	on	on	ADP
cana-3406	8	5	the	the	DET
cana-3406	8	6	developing	develop	VERB
cana-3406	8	7	deep	deep	ADJ
cana-3406	8	8	learning	learning	NOUN
cana-3406	8	9	(	(	PUNCT
cana-3406	8	10	dl	dl	NOUN
cana-3406	8	11	)	)	PUNCT
cana-3406	8	12	architectures	architecture	NOUN
cana-3406	8	13	for	for	ADP
cana-3406	8	14	the	the	DET
cana-3406	8	15	detection	detection	NOUN
cana-3406	8	16	of	of	ADP
cana-3406	8	17	brc	brc	PROPN
cana-3406	8	18	.	.	PUNCT
cana-3406	9	1	however	however	ADV
cana-3406	9	2	,	,	PUNCT
cana-3406	9	3	were	be	AUX
cana-3406	9	4	unable	unable	ADJ
cana-3406	9	5	to	to	PART
cana-3406	9	6	address	address	VERB
cana-3406	9	7	new	new	ADJ
cana-3406	9	8	modalities	modality	NOUN
cana-3406	9	9	and	and	CCONJ
cana-3406	9	10	architectures	architecture	NOUN
cana-3406	9	11	in	in	ADP
cana-3406	9	12	the	the	DET
cana-3406	9	13	diagnosis	diagnosis	NOUN
cana-3406	9	14	of	of	ADP
cana-3406	9	15	brc	brc	NOUN
cana-3406	9	16	.	.	PUNCT
cana-3406	10	1	the	the	DET
cana-3406	10	2	developing	develop	VERB
cana-3406	10	3	dl	dl	PROPN
cana-3406	10	4	architectures	architecture	NOUN
cana-3406	10	5	for	for	ADP
cana-3406	10	6	brc	brc	NOUN
cana-3406	10	7	detection	detection	NOUN
cana-3406	10	8	are	be	AUX
cana-3406	10	9	the	the	DET
cana-3406	10	10	main	main	ADJ
cana-3406	10	11	topic	topic	NOUN
cana-3406	10	12	of	of	ADP
cana-3406	10	13	this	this	DET
cana-3406	10	14	review	review	NOUN
cana-3406	10	15	.	.	PUNCT
cana-3406	11	1	the	the	DET
cana-3406	11	2	survey	survey	NOUN
cana-3406	11	3	that	that	PRON
cana-3406	11	4	follows	follow	VERB
cana-3406	11	5	outlines	outline	VERB
cana-3406	11	6	current	current	ADJ
cana-3406	11	7	dl	dl	PROPN
cana-3406	11	8	based	base	VERB
cana-3406	11	9	architectures	architecture	NOUN
cana-3406	11	10	,	,	PUNCT
cana-3406	11	11	evaluates	evaluate	VERB
cana-3406	11	12	the	the	DET
cana-3406	11	13	advantages	advantage	NOUN
cana-3406	11	14	and	and	CCONJ
cana-3406	11	15	disadvantages	disadvantage	NOUN
cana-3406	11	16	of	of	ADP
cana-3406	11	17	previous	previous	ADJ
cana-3406	11	18	research	research	NOUN
cana-3406	11	19	,	,	PUNCT
cana-3406	11	20	looks	look	VERB
cana-3406	11	21	at	at	ADP
cana-3406	11	22	the	the	DET
cana-3406	11	23	datasets	dataset	NOUN
cana-3406	11	24	that	that	PRON
cana-3406	11	25	have	have	AUX
cana-3406	11	26	been	be	AUX
cana-3406	11	27	used	use	VERB
cana-3406	11	28	,	,	PUNCT
cana-3406	11	29	and	and	CCONJ
cana-3406	11	30	goes	go	VERB
cana-3406	11	31	over	over	ADP
cana-3406	11	32	image	image	NOUN
cana-3406	11	33	preprocessing	preprocessing	NOUN
cana-3406	11	34	methods	method	NOUN
cana-3406	11	35	.	.	PUNCT
cana-3406	12	1	this	this	DET
cana-3406	12	2	study	study	NOUN
cana-3406	12	3	supports	support	VERB
cana-3406	12	4	ongoing	ongoing	ADJ
cana-3406	12	5	efforts	effort	NOUN
cana-3406	12	6	by	by	ADP
cana-3406	12	7	the	the	DET
cana-3406	12	8	global	global	PROPN
cana-3406	12	9	healthcare	healthcare	PROPN
cana-3406	12	10	community	community	NOUN
cana-3406	12	11	to	to	PART
cana-3406	12	12	improve	improve	VERB
cana-3406	12	13	brc	brc	NOUN
cana-3406	12	14	outcomes	outcome	NOUN
cana-3406	12	15	by	by	ADP
cana-3406	12	16	utilizing	utilize	VERB
cana-3406	12	17	state	state	NOUN
cana-3406	12	18	-	-	PUNCT
cana-3406	12	19	of	of	ADP
cana-3406	12	20	-	-	PUNCT
cana-3406	12	21	the	the	DET
cana-3406	12	22	-	-	PUNCT
cana-3406	12	23	art	art	NOUN
cana-3406	12	24	technology	technology	NOUN
cana-3406	12	25	to	to	PART
cana-3406	12	26	enable	enable	VERB
cana-3406	12	27	timely	timely	ADJ
cana-3406	12	28	and	and	CCONJ
cana-3406	12	29	effective	effective	ADJ
cana-3406	12	30	detection	detection	NOUN
cana-3406	12	31	.	.	PUNCT
cana-3406	13	1	it	it	PRON
cana-3406	13	2	also	also	ADV
cana-3406	13	3	presents	present	VERB
cana-3406	13	4	research	research	NOUN
cana-3406	13	5	directions	direction	NOUN
cana-3406	13	6	for	for	ADP
cana-3406	13	7	future	future	ADJ
cana-3406	13	8	researchers	researcher	NOUN
cana-3406	13	9	,	,	PUNCT
cana-3406	13	10	challenges	challenge	NOUN
cana-3406	13	11	,	,	PUNCT
cana-3406	13	12	and	and	CCONJ
cana-3406	13	13	performance	performance	NOUN
cana-3406	13	14	metrics	metric	NOUN
cana-3406	13	15	and	and	CCONJ
cana-3406	13	16	results	result	NOUN
cana-3406	13	17	.	.	PUNCT
cana-3406	14	1	keywords	keyword	NOUN
cana-3406	14	2	:	:	PUNCT
cana-3406	14	3	deep	deep	ADJ
cana-3406	14	4	learning	learning	NOUN
cana-3406	14	5	methodologies	methodology	NOUN
cana-3406	14	6	,	,	PUNCT
cana-3406	14	7	image	image	NOUN
cana-3406	14	8	data	datum	NOUN
cana-3406	14	9	processing	processing	NOUN
cana-3406	14	10	methods	method	NOUN
cana-3406	14	11	,	,	PUNCT
cana-3406	14	12	breast	breast	NOUN
cana-3406	14	13	cancer	cancer	NOUN
cana-3406	14	14	diagnosis	diagnosis	NOUN
cana-3406	14	15	,	,	PUNCT
cana-3406	14	16	classification	classification	NOUN
cana-3406	14	17	algorithms	algorithm	NOUN
cana-3406	14	18	.	.	PUNCT
cana-3406	15	1	introduction	introduction	NOUN
cana-3406	15	2	globally	globally	ADV
cana-3406	15	3	,	,	PUNCT
cana-3406	15	4	brc	brc	PROPN
cana-3406	15	5	is	be	AUX
cana-3406	15	6	the	the	DET
cana-3406	15	7	most	most	ADV
cana-3406	15	8	frequently	frequently	ADV
cana-3406	15	9	diagnosed	diagnose	VERB
cana-3406	15	10	cancer	cancer	NOUN
cana-3406	15	11	.	.	PUNCT
cana-3406	16	1	more	more	ADJ
cana-3406	16	2	than	than	ADP
cana-3406	16	3	2.26	2.26	NUM
cana-3406	16	4	million	million	NUM
cana-3406	16	5	new	new	ADJ
cana-3406	16	6	cases	case	NOUN
cana-3406	16	7	of	of	ADP
cana-3406	16	8	brc	brc	NOUN
cana-3406	16	9	were	be	AUX
cana-3406	16	10	predicted	predict	VERB
cana-3406	16	11	for	for	ADP
cana-3406	16	12	2020	2020	NUM
cana-3406	16	13	by	by	ADP
cana-3406	16	14	the	the	DET
cana-3406	16	15	world	world	PROPN
cana-3406	16	16	health	health	PROPN
cana-3406	16	17	organization	organization	NOUN
cana-3406	16	18	's	's	PART
cana-3406	16	19	(	(	PUNCT
cana-3406	16	20	who	who	PRON
cana-3406	16	21	)	)	PUNCT
cana-3406	16	22	study	study	NOUN
cana-3406	16	23	on	on	ADP
cana-3406	16	24	the	the	DET
cana-3406	16	25	disease	disease	NOUN
cana-3406	16	26	's	's	PART
cana-3406	16	27	present	present	ADJ
cana-3406	16	28	and	and	CCONJ
cana-3406	16	29	future	future	ADJ
cana-3406	16	30	problem	problem	NOUN
cana-3406	16	31	.	.	PUNCT
cana-3406	17	1	according	accord	VERB
cana-3406	17	2	to	to	ADP
cana-3406	17	3	a	a	DET
cana-3406	17	4	more	more	ADV
cana-3406	17	5	recent	recent	ADJ
cana-3406	17	6	study	study	NOUN
cana-3406	17	7	,	,	PUNCT
cana-3406	17	8	31	31	NUM
cana-3406	17	9	%	%	NOUN
cana-3406	17	10	of	of	ADP
cana-3406	17	11	female	female	ADJ
cana-3406	17	12	cancers	cancer	NOUN
cana-3406	17	13	in	in	ADP
cana-3406	17	14	2023	2023	NUM
cana-3406	17	15	will	will	AUX
cana-3406	17	16	be	be	AUX
cana-3406	17	17	brc	brc	NOUN
cana-3406	17	18	,	,	PUNCT
cana-3406	17	19	making	make	VERB
cana-3406	17	20	it	it	PRON
cana-3406	17	21	the	the	DET
cana-3406	17	22	most	most	ADV
cana-3406	17	23	common	common	ADJ
cana-3406	17	24	cancer	cancer	NOUN
cana-3406	17	25	diagnosed	diagnose	VERB
cana-3406	17	26	in	in	ADP
cana-3406	17	27	women	woman	NOUN
cana-3406	17	28	.	.	PUNCT
cana-3406	18	1	since	since	SCONJ
cana-3406	18	2	mid-2000s	mid-2000s	NUM
cana-3406	18	3	,	,	PUNCT
cana-3406	18	4	female	female	ADJ
cana-3406	18	5	brc	brc	NOUN
cana-3406	18	6	incidence	incidence	NOUN
cana-3406	18	7	rates	rate	NOUN
cana-3406	18	8	have	have	AUX
cana-3406	18	9	risen	rise	VERB
cana-3406	18	10	by	by	ADP
cana-3406	18	11	about	about	ADV
cana-3406	18	12	0.5	0.5	NUM
cana-3406	18	13	%	%	NOUN
cana-3406	18	14	annually	annually	ADV
cana-3406	18	15	,	,	PUNCT
cana-3406	18	16	a	a	DET
cana-3406	18	17	tendency	tendency	NOUN
cana-3406	18	18	that	that	PRON
cana-3406	18	19	has	have	AUX
cana-3406	18	20	been	be	AUX
cana-3406	18	21	at	at	ADP
cana-3406	18	22	least	least	ADJ
cana-3406	18	23	partially	partially	ADV
cana-3406	18	24	ascribed	ascribe	VERB
cana-3406	18	25	to	to	ADP
cana-3406	18	26	increases	increase	NOUN
cana-3406	18	27	in	in	ADP
cana-3406	18	28	excess	excess	ADJ
cana-3406	18	29	body	body	NOUN
cana-3406	18	30	weight	weight	NOUN
cana-3406	18	31	[	[	X
cana-3406	18	32	2	2	NUM
cana-3406	18	33	]	]	PUNCT
cana-3406	18	34	and	and	CCONJ
cana-3406	18	35	also	also	ADV
cana-3406	18	36	in	in	ADP
cana-3406	18	37	2022	2022	NUM
cana-3406	18	38	,	,	PUNCT
cana-3406	18	39	brc	brc	PROPN
cana-3406	18	40	was	be	AUX
cana-3406	18	41	the	the	DET
cana-3406	18	42	most	most	ADV
cana-3406	18	43	prevalent	prevalent	ADJ
cana-3406	18	44	cancer	cancer	NOUN
cana-3406	18	45	among	among	ADP
cana-3406	18	46	women	woman	NOUN
cana-3406	18	47	in	in	ADP
cana-3406	18	48	157	157	NUM
cana-3406	18	49	out	out	ADP
cana-3406	18	50	of	of	ADP
cana-3406	18	51	185	185	NUM
cana-3406	18	52	countries	country	NOUN
cana-3406	18	53	[	[	X
cana-3406	18	54	1	1	NUM
cana-3406	18	55	]	]	PUNCT
cana-3406	18	56	.	.	PUNCT
cana-3406	19	1	in	in	ADP
cana-3406	19	2	developed	develop	VERB
cana-3406	19	3	nations	nation	NOUN
cana-3406	19	4	,	,	PUNCT
cana-3406	19	5	ml	ml	PROPN
cana-3406	19	6	and	and	CCONJ
cana-3406	19	7	dl	dl	PROPN
cana-3406	19	8	algorithms	algorithm	NOUN
cana-3406	19	9	are	be	AUX
cana-3406	19	10	commonly	commonly	ADV
cana-3406	19	11	used	use	VERB
cana-3406	19	12	for	for	ADP
cana-3406	19	13	brc	brc	NOUN
cana-3406	19	14	screening	screening	NOUN
cana-3406	19	15	.	.	PUNCT
cana-3406	20	1	these	these	DET
cana-3406	20	2	algorithms	algorithm	NOUN
cana-3406	20	3	are	be	AUX
cana-3406	20	4	used	use	VERB
cana-3406	20	5	to	to	PART
cana-3406	20	6	predict	predict	VERB
cana-3406	20	7	whether	whether	SCONJ
cana-3406	20	8	digitalized	digitalize	VERB
cana-3406	20	9	images	image	NOUN
cana-3406	20	10	[	[	X
cana-3406	20	11	3	3	NUM
cana-3406	20	12	-	-	SYM
cana-3406	20	13	6	6	NUM
cana-3406	20	14	]	]	PUNCT
cana-3406	20	15	from	from	ADP
cana-3406	20	16	magnetic	magnetic	ADJ
cana-3406	20	17	resonance	resonance	NOUN
cana-3406	20	18	imaging	imaging	NOUN
cana-3406	20	19	will	will	AUX
cana-3406	20	20	have	have	VERB
cana-3406	20	21	anomalies	anomaly	NOUN
cana-3406	20	22	associated	associate	VERB
cana-3406	20	23	with	with	ADP
cana-3406	20	24	brc	brc	NOUN
cana-3406	20	25	.	.	PUNCT
cana-3406	21	1	this	this	DET
cana-3406	21	2	study	study	NOUN
cana-3406	21	3	demonstrates	demonstrate	VERB
cana-3406	21	4	that	that	SCONJ
cana-3406	21	5	dl	dl	PROPN
cana-3406	21	6	algorithms	algorithm	NOUN
cana-3406	21	7	can	can	AUX
cana-3406	21	8	be	be	AUX
cana-3406	21	9	applied	apply	VERB
cana-3406	21	10	to	to	ADP
cana-3406	21	11	the	the	DET
cana-3406	21	12	prognosis	prognosis	NOUN
cana-3406	21	13	of	of	ADP
cana-3406	21	14	brc	brc	NOUN
cana-3406	21	15	by	by	ADP
cana-3406	21	16	applying	apply	VERB
cana-3406	21	17	dl	dl	PROPN
cana-3406	21	18	to	to	ADP
cana-3406	21	19	heterogeneous	heterogeneous	ADJ
cana-3406	21	20	data	datum	NOUN
cana-3406	21	21	from	from	ADP
cana-3406	21	22	medical	medical	ADJ
cana-3406	21	23	records	record	NOUN
cana-3406	21	24	(	(	PUNCT
cana-3406	21	25	demographic	demographic	ADJ
cana-3406	21	26	and	and	CCONJ
cana-3406	21	27	anthropometric	anthropometric	ADJ
cana-3406	21	28	information	information	NOUN
cana-3406	21	29	)	)	PUNCT
cana-3406	21	30	,	,	PUNCT
cana-3406	21	31	biological	biological	ADJ
cana-3406	21	32	indicators	indicator	NOUN
cana-3406	21	33	from	from	ADP
cana-3406	21	34	routine	routine	ADJ
cana-3406	21	35	blood	blood	NOUN
cana-3406	21	36	samples	sample	NOUN
cana-3406	21	37	,	,	PUNCT
cana-3406	21	38	and	and	CCONJ
cana-3406	21	39	relative	relative	ADJ
cana-3406	21	40	risks	risk	NOUN
cana-3406	21	41	from	from	ADP
cana-3406	21	42	meta	meta	NOUN
cana-3406	21	43	-	-	PUNCT
cana-3406	21	44	analyses	analysis	NOUN
cana-3406	21	45	and	and	CCONJ
cana-3406	21	46	publicly	publicly	ADV
cana-3406	21	47	available	available	ADJ
cana-3406	21	48	databases	database	NOUN
cana-3406	21	49	.	.	PUNCT
cana-3406	22	1	communications	communication	NOUN
cana-3406	22	2	on	on	ADP
cana-3406	22	3	applied	apply	VERB
cana-3406	22	4	nonlinear	nonlinear	ADJ
cana-3406	22	5	analysis	analysis	NOUN
cana-3406	22	6	issn	issn	NOUN
cana-3406	22	7	:	:	PUNCT
cana-3406	22	8	1074	1074	NUM
cana-3406	22	9	-	-	PUNCT
cana-3406	22	10	133x	133x	NUM
cana-3406	22	11	vol	vol	NOUN
cana-3406	22	12	32	32	NUM
cana-3406	22	13	no	no	NOUN
cana-3406	22	14	.	.	PUNCT
cana-3406	23	1	7s	7	NOUN
cana-3406	23	2	(	(	PUNCT
cana-3406	23	3	2025	2025	NUM
cana-3406	23	4	)	)	PUNCT
cana-3406	23	5	306	306	NUM
cana-3406	23	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3406	23	7	simple	simple	ADJ
cana-3406	23	8	summary	summary	NOUN
cana-3406	23	9	:	:	PUNCT
cana-3406	23	10	brc	brc	PROPN
cana-3406	23	11	is	be	AUX
cana-3406	23	12	the	the	DET
cana-3406	23	13	most	most	ADV
cana-3406	23	14	common	common	ADJ
cana-3406	23	15	cancer	cancer	NOUN
cana-3406	23	16	,	,	PUNCT
cana-3406	23	17	with	with	ADP
cana-3406	23	18	2.3	2.3	NUM
cana-3406	23	19	million	million	NUM
cana-3406	23	20	women	woman	NOUN
cana-3406	23	21	receiving	receive	VERB
cana-3406	23	22	a	a	DET
cana-3406	23	23	diagnosis	diagnosis	NOUN
cana-3406	23	24	and	and	CCONJ
cana-3406	23	25	approximately	approximately	ADV
cana-3406	23	26	685,000	685,000	NUM
cana-3406	23	27	deaths	death	NOUN
cana-3406	23	28	from	from	ADP
cana-3406	23	29	the	the	DET
cana-3406	23	30	disease	disease	NOUN
cana-3406	23	31	reported	report	VERB
cana-3406	23	32	worldwide	worldwide	ADV
cana-3406	23	33	in	in	ADP
cana-3406	23	34	2020	2020	NUM
cana-3406	23	35	.	.	PUNCT
cana-3406	24	1	improving	improve	VERB
cana-3406	24	2	the	the	DET
cana-3406	24	3	prediction	prediction	NOUN
cana-3406	24	4	and	and	CCONJ
cana-3406	24	5	raising	raise	VERB
cana-3406	24	6	the	the	DET
cana-3406	24	7	percentage	percentage	NOUN
cana-3406	24	8	of	of	ADP
cana-3406	24	9	patients	patient	NOUN
cana-3406	24	10	who	who	PRON
cana-3406	24	11	survive	survive	VERB
cana-3406	24	12	to	to	ADP
cana-3406	24	13	50	50	NUM
cana-3406	24	14	%	%	NOUN
cana-3406	24	15	depends	depend	VERB
cana-3406	24	16	on	on	ADP
cana-3406	24	17	early	early	ADJ
cana-3406	24	18	and	and	CCONJ
cana-3406	24	19	precise	precise	ADJ
cana-3406	24	20	detection	detection	NOUN
cana-3406	24	21	of	of	ADP
cana-3406	24	22	brc	brc	NOUN
cana-3406	24	23	.	.	PUNCT
cana-3406	25	1	in	in	ADP
cana-3406	25	2	the	the	DET
cana-3406	25	3	early	early	ADJ
cana-3406	25	4	detection	detection	NOUN
cana-3406	25	5	of	of	ADP
cana-3406	25	6	brc	brc	NOUN
cana-3406	25	7	,	,	PUNCT
cana-3406	25	8	dl	dl	PROPN
cana-3406	25	9	based	base	VERB
cana-3406	25	10	computer	computer	NOUN
cana-3406	25	11	aided	aid	VERB
cana-3406	25	12	diagnosis	diagnosis	NOUN
cana-3406	25	13	(	(	PUNCT
cana-3406	25	14	cad	cad	NOUN
cana-3406	25	15	)	)	PUNCT
cana-3406	25	16	has	have	AUX
cana-3406	25	17	demonstrated	demonstrate	VERB
cana-3406	25	18	impressive	impressive	ADJ
cana-3406	25	19	results	result	NOUN
cana-3406	25	20	.	.	PUNCT
cana-3406	26	1	the	the	DET
cana-3406	26	2	literature	literature	NOUN
cana-3406	26	3	examining	examine	VERB
cana-3406	26	4	dl	dl	PROPN
cana-3406	26	5	architecture	architecture	NOUN
cana-3406	26	6	for	for	ADP
cana-3406	26	7	brc	brc	NOUN
cana-3406	26	8	diagnosis	diagnosis	NOUN
cana-3406	26	9	is	be	AUX
cana-3406	26	10	the	the	DET
cana-3406	26	11	main	main	ADJ
cana-3406	26	12	focus	focus	NOUN
cana-3406	26	13	of	of	ADP
cana-3406	26	14	this	this	DET
cana-3406	26	15	review	review	NOUN
cana-3406	26	16	.	.	PUNCT
cana-3406	27	1	the	the	DET
cana-3406	27	2	comprehensive	comprehensive	ADJ
cana-3406	27	3	,	,	PUNCT
cana-3406	27	4	analytical	analytical	ADJ
cana-3406	27	5	review	review	NOUN
cana-3406	27	6	of	of	ADP
cana-3406	27	7	this	this	DET
cana-3406	27	8	study	study	NOUN
cana-3406	27	9	is	be	AUX
cana-3406	27	10	based	base	VERB
cana-3406	27	11	on	on	ADP
cana-3406	27	12	model	model	NOUN
cana-3406	27	13	architecture	architecture	NOUN
cana-3406	27	14	of	of	ADP
cana-3406	27	15	brc	brc	NOUN
cana-3406	27	16	diagnosis	diagnosis	NOUN
cana-3406	27	17	,	,	PUNCT
cana-3406	27	18	datasets	dataset	NOUN
cana-3406	27	19	and	and	CCONJ
cana-3406	27	20	image	image	NOUN
cana-3406	27	21	data	datum	NOUN
cana-3406	27	22	preprocessing	preprocessing	NOUN
cana-3406	27	23	,	,	PUNCT
cana-3406	27	24	brc	brc	NOUN
cana-3406	27	25	imaging	imaging	NOUN
cana-3406	27	26	approach	approach	NOUN
cana-3406	27	27	and	and	CCONJ
cana-3406	27	28	performance	performance	NOUN
cana-3406	27	29	measures	measure	NOUN
cana-3406	27	30	.	.	PUNCT
cana-3406	28	1	when	when	SCONJ
cana-3406	28	2	certain	certain	ADJ
cana-3406	28	3	cells	cell	NOUN
cana-3406	28	4	in	in	ADP
cana-3406	28	5	the	the	DET
cana-3406	28	6	breast	breast	NOUN
cana-3406	28	7	begin	begin	VERB
cana-3406	28	8	to	to	PART
cana-3406	28	9	grow	grow	VERB
cana-3406	28	10	out	out	ADP
cana-3406	28	11	of	of	ADP
cana-3406	28	12	control	control	NOUN
cana-3406	28	13	and	and	CCONJ
cana-3406	28	14	form	form	VERB
cana-3406	28	15	a	a	DET
cana-3406	28	16	mass	mass	NOUN
cana-3406	28	17	known	know	VERB
cana-3406	28	18	as	as	ADP
cana-3406	28	19	a	a	DET
cana-3406	28	20	tumor	tumor	NOUN
cana-3406	28	21	,	,	PUNCT
cana-3406	28	22	brc	brc	NOUN
cana-3406	28	23	starts	start	VERB
cana-3406	28	24	.	.	PUNCT
cana-3406	29	1	usually	usually	ADV
cana-3406	29	2	,	,	PUNCT
cana-3406	29	3	a	a	DET
cana-3406	29	4	brc	brc	NOUN
cana-3406	29	5	diagnosis	diagnosis	NOUN
cana-3406	29	6	is	be	AUX
cana-3406	29	7	classified	classify	VERB
cana-3406	29	8	as	as	ADP
cana-3406	29	9	either	either	CCONJ
cana-3406	29	10	malignant	malignant	ADJ
cana-3406	29	11	or	or	CCONJ
cana-3406	29	12	benign	benign	ADJ
cana-3406	29	13	.	.	PUNCT
cana-3406	30	1	malignant	malignant	ADJ
cana-3406	30	2	tumors	tumor	NOUN
cana-3406	30	3	are	be	AUX
cana-3406	30	4	dangerous	dangerous	ADJ
cana-3406	30	5	because	because	SCONJ
cana-3406	30	6	they	they	PRON
cana-3406	30	7	have	have	VERB
cana-3406	30	8	the	the	DET
cana-3406	30	9	ability	ability	NOUN
cana-3406	30	10	to	to	PART
cana-3406	30	11	metastasize	metastasize	VERB
cana-3406	30	12	or	or	CCONJ
cana-3406	30	13	spread	spread	VERB
cana-3406	30	14	to	to	ADP
cana-3406	30	15	other	other	ADJ
cana-3406	30	16	body	body	NOUN
cana-3406	30	17	parts	part	NOUN
cana-3406	30	18	through	through	ADP
cana-3406	30	19	the	the	DET
cana-3406	30	20	bloodstream	bloodstream	NOUN
cana-3406	30	21	or	or	CCONJ
cana-3406	30	22	circulatory	circulatory	ADJ
cana-3406	30	23	systems	system	NOUN
cana-3406	30	24	.	.	PUNCT
cana-3406	31	1	here	here	ADV
cana-3406	31	2	figure	figure	NOUN
cana-3406	31	3	1	1	NUM
cana-3406	31	4	illustrates	illustrate	VERB
cana-3406	31	5	the	the	DET
cana-3406	31	6	distinction	distinction	NOUN
cana-3406	31	7	between	between	ADP
cana-3406	31	8	benign	benign	ADJ
cana-3406	31	9	and	and	CCONJ
cana-3406	31	10	malignant	malignant	ADJ
cana-3406	31	11	tumors	tumor	NOUN
cana-3406	31	12	by	by	ADP
cana-3406	31	13	comparing	compare	VERB
cana-3406	31	14	the	the	DET
cana-3406	31	15	normal	normal	ADJ
cana-3406	31	16	and	and	CCONJ
cana-3406	31	17	tumor	tumor	NOUN
cana-3406	31	18	cells	cell	NOUN
cana-3406	31	19	,	,	PUNCT
cana-3406	31	20	and	and	CCONJ
cana-3406	31	21	both	both	CCONJ
cana-3406	31	22	benign	benign	ADJ
cana-3406	31	23	and	and	CCONJ
cana-3406	31	24	malignant	malignant	ADJ
cana-3406	31	25	tumors	tumor	NOUN
cana-3406	31	26	are	be	AUX
cana-3406	31	27	shown	show	VERB
cana-3406	31	28	in	in	ADP
cana-3406	31	29	figure	figure	NOUN
cana-3406	31	30	1(b	1(b	NUM
cana-3406	31	31	)	)	PUNCT
cana-3406	31	32	.	.	PUNCT
cana-3406	32	1	generally	generally	ADV
cana-3406	32	2	speaking	speak	VERB
cana-3406	32	3	,	,	PUNCT
cana-3406	32	4	benign	benign	ADJ
cana-3406	32	5	tumors	tumor	NOUN
cana-3406	32	6	stay	stay	VERB
cana-3406	32	7	localized	localized	ADJ
cana-3406	32	8	and	and	CCONJ
cana-3406	32	9	do	do	AUX
cana-3406	32	10	not	not	PART
cana-3406	32	11	spread	spread	VERB
cana-3406	32	12	.	.	PUNCT
cana-3406	33	1	a	a	DET
cana-3406	33	2	newly	newly	ADV
cana-3406	33	3	inverted	inverted	ADJ
cana-3406	33	4	nipple	nipple	NOUN
cana-3406	33	5	,	,	PUNCT
cana-3406	33	6	changes	change	NOUN
cana-3406	33	7	in	in	ADP
cana-3406	33	8	skin	skin	NOUN
cana-3406	33	9	covering	cover	VERB
cana-3406	33	10	the	the	DET
cana-3406	33	11	breast	breast	NOUN
cana-3406	33	12	,	,	PUNCT
cana-3406	33	13	such	such	ADJ
cana-3406	33	14	as	as	ADP
cana-3406	33	15	puckering	pucker	VERB
cana-3406	33	16	or	or	CCONJ
cana-3406	33	17	dimpling	dimple	VERB
cana-3406	33	18	,	,	PUNCT
cana-3406	33	19	a	a	DET
cana-3406	33	20	noticeable	noticeable	ADJ
cana-3406	33	21	lump	lump	NOUN
cana-3406	33	22	or	or	CCONJ
cana-3406	33	23	mass	mass	NOUN
cana-3406	33	24	in	in	ADP
cana-3406	33	25	the	the	DET
cana-3406	33	26	breast	breast	NOUN
cana-3406	33	27	,	,	PUNCT
cana-3406	33	28	breast	breast	NOUN
cana-3406	33	29	pain	pain	NOUN
cana-3406	33	30	,	,	PUNCT
cana-3406	33	31	and	and	CCONJ
cana-3406	33	32	release	release	NOUN
cana-3406	33	33	from	from	ADP
cana-3406	33	34	the	the	DET
cana-3406	33	35	nipples	nipple	NOUN
cana-3406	33	36	other	other	ADJ
cana-3406	33	37	than	than	ADP
cana-3406	33	38	breast	breast	NOUN
cana-3406	33	39	milk	milk	NOUN
cana-3406	33	40	are	be	AUX
cana-3406	33	41	some	some	PRON
cana-3406	33	42	of	of	ADP
cana-3406	33	43	the	the	DET
cana-3406	33	44	symptoms	symptom	NOUN
cana-3406	33	45	that	that	PRON
cana-3406	33	46	indicate	indicate	VERB
cana-3406	33	47	breast	breast	NOUN
cana-3406	33	48	cancer	cancer	NOUN
cana-3406	33	49	.	.	PUNCT
cana-3406	34	1	brc	brc	PROPN
cana-3406	34	2	is	be	AUX
cana-3406	34	3	the	the	DET
cana-3406	34	4	second	second	ADJ
cana-3406	34	5	most	most	ADV
cana-3406	34	6	common	common	ADJ
cana-3406	34	7	cause	cause	NOUN
cana-3406	34	8	of	of	ADP
cana-3406	34	9	death	death	NOUN
cana-3406	34	10	for	for	ADP
cana-3406	34	11	women	woman	NOUN
cana-3406	34	12	,	,	PUNCT
cana-3406	34	13	after	after	ADP
cana-3406	34	14	heart	heart	NOUN
cana-3406	34	15	disease	disease	NOUN
cana-3406	34	16	.	.	PUNCT
cana-3406	35	1	additionally	additionally	ADV
cana-3406	35	2	,	,	PUNCT
cana-3406	35	3	about	about	ADV
cana-3406	35	4	8	8	NUM
cana-3406	35	5	%	%	NOUN
cana-3406	35	6	of	of	ADP
cana-3406	35	7	women	woman	NOUN
cana-3406	35	8	will	will	AUX
cana-3406	35	9	encounter	encounter	VERB
cana-3406	35	10	it	it	PRON
cana-3406	35	11	.	.	PUNCT
cana-3406	36	1	according	accord	VERB
cana-3406	36	2	to	to	ADP
cana-3406	36	3	the	the	DET
cana-3406	36	4	who	who	PRON
cana-3406	36	5	annual	annual	ADJ
cana-3406	36	6	report	report	NOUN
cana-3406	36	7	,	,	PUNCT
cana-3406	36	8	over	over	ADP
cana-3406	36	9	500,000	500,000	NUM
cana-3406	36	10	women	woman	NOUN
cana-3406	36	11	receive	receive	VERB
cana-3406	36	12	a	a	DET
cana-3406	36	13	brc	brc	NOUN
cana-3406	36	14	diagnosis	diagnosis	NOUN
cana-3406	36	15	each	each	DET
cana-3406	36	16	year	year	NOUN
cana-3406	36	17	.	.	PUNCT
cana-3406	37	1	in	in	ADP
cana-3406	37	2	impoverished	impoverished	ADJ
cana-3406	37	3	countries	country	NOUN
cana-3406	37	4	,	,	PUNCT
cana-3406	37	5	women	woman	NOUN
cana-3406	37	6	often	often	ADV
cana-3406	37	7	arrive	arrive	VERB
cana-3406	37	8	at	at	ADP
cana-3406	37	9	early	early	ADJ
cana-3406	37	10	stage	stage	NOUN
cana-3406	37	11	with	with	ADP
cana-3406	37	12	limited	limited	ADJ
cana-3406	37	13	treatment	treatment	NOUN
cana-3406	37	14	possibilities	possibility	NOUN
cana-3406	37	15	due	due	ADJ
cana-3406	37	16	to	to	ADP
cana-3406	37	17	a	a	DET
cana-3406	37	18	lack	lack	NOUN
cana-3406	37	19	of	of	ADP
cana-3406	37	20	screening	screen	VERB
cana-3406	37	21	facilities	facility	NOUN
cana-3406	37	22	and	and	CCONJ
cana-3406	37	23	knowledge	knowledge	NOUN
cana-3406	37	24	.	.	PUNCT
cana-3406	38	1	genetic	genetic	ADJ
cana-3406	38	2	mutations	mutation	NOUN
cana-3406	38	3	,	,	PUNCT
cana-3406	38	4	hormones	hormone	NOUN
cana-3406	38	5	,	,	PUNCT
cana-3406	38	6	obesity	obesity	NOUN
cana-3406	38	7	,	,	PUNCT
cana-3406	38	8	early	early	ADJ
cana-3406	38	9	-	-	PUNCT
cana-3406	38	10	life	life	NOUN
cana-3406	38	11	radiation	radiation	NOUN
cana-3406	38	12	exposure	exposure	NOUN
cana-3406	38	13	,	,	PUNCT
cana-3406	38	14	and	and	CCONJ
cana-3406	38	15	family	family	NOUN
cana-3406	38	16	history	history	NOUN
cana-3406	38	17	are	be	AUX
cana-3406	38	18	all	all	PRON
cana-3406	38	19	recognized	recognize	VERB
cana-3406	38	20	risk	risk	NOUN
cana-3406	38	21	factors	factor	NOUN
cana-3406	38	22	for	for	ADP
cana-3406	38	23	brc	brc	PROPN
cana-3406	38	24	.	.	PUNCT
cana-3406	39	1	figure	figure	NOUN
cana-3406	39	2	1	1	NUM
cana-3406	39	3	.	.	PUNCT
cana-3406	40	1	shown	show	VERB
cana-3406	40	2	in	in	ADP
cana-3406	40	3	the	the	DET
cana-3406	40	4	brc	brc	NOUN
cana-3406	40	5	visualization	visualization	NOUN
cana-3406	40	6	.	.	PUNCT
cana-3406	41	1	(	(	PUNCT
cana-3406	41	2	a	a	X
cana-3406	41	3	)	)	PUNCT
cana-3406	41	4	benign	benign	ADJ
cana-3406	41	5	and	and	CCONJ
cana-3406	41	6	malignant	malignant	ADJ
cana-3406	41	7	tumour	tumour	ADJ
cana-3406	41	8	cells	cell	NOUN
cana-3406	41	9	,	,	PUNCT
cana-3406	41	10	(	(	PUNCT
cana-3406	41	11	b	b	NOUN
cana-3406	41	12	)	)	PUNCT
cana-3406	41	13	benign	benign	ADJ
cana-3406	41	14	and	and	CCONJ
cana-3406	41	15	malignant	malignant	ADJ
cana-3406	41	16	masses	masse	NOUN
cana-3406	41	17	.	.	PUNCT
cana-3406	42	1	in	in	ADP
cana-3406	42	2	the	the	DET
cana-3406	42	3	battle	battle	NOUN
cana-3406	42	4	against	against	ADP
cana-3406	42	5	maternal	maternal	ADJ
cana-3406	42	6	cancer	cancer	NOUN
cana-3406	42	7	-	-	PUNCT
cana-3406	42	8	related	relate	VERB
cana-3406	42	9	mortality	mortality	NOUN
cana-3406	42	10	,	,	PUNCT
cana-3406	42	11	early	early	ADJ
cana-3406	42	12	detection	detection	NOUN
cana-3406	42	13	and	and	CCONJ
cana-3406	42	14	timely	timely	ADJ
cana-3406	42	15	treatment	treatment	NOUN
cana-3406	42	16	have	have	AUX
cana-3406	42	17	become	become	VERB
cana-3406	42	18	crucial	crucial	ADJ
cana-3406	42	19	components	component	NOUN
cana-3406	42	20	.	.	PUNCT
cana-3406	43	1	the	the	DET
cana-3406	43	2	use	use	NOUN
cana-3406	43	3	of	of	ADP
cana-3406	43	4	routine	routine	ADJ
cana-3406	43	5	mammography	mammography	NOUN
cana-3406	43	6	exams	exam	NOUN
cana-3406	43	7	has	have	AUX
cana-3406	43	8	helped	help	VERB
cana-3406	43	9	achieve	achieve	VERB
cana-3406	43	10	these	these	DET
cana-3406	43	11	objectives	objective	NOUN
cana-3406	43	12	.	.	PUNCT
cana-3406	44	1	on	on	ADP
cana-3406	44	2	the	the	DET
cana-3406	44	3	other	other	ADJ
cana-3406	44	4	hand	hand	NOUN
cana-3406	44	5	,	,	PUNCT
cana-3406	44	6	because	because	SCONJ
cana-3406	44	7	mammography	mammography	NOUN
cana-3406	44	8	screenings	screening	NOUN
cana-3406	44	9	depend	depend	VERB
cana-3406	44	10	on	on	ADP
cana-3406	44	11	the	the	DET
cana-3406	44	12	knowledge	knowledge	NOUN
cana-3406	44	13	of	of	ADP
cana-3406	44	14	human	human	ADJ
cana-3406	44	15	specialists	specialist	NOUN
cana-3406	44	16	,	,	PUNCT
cana-3406	44	17	they	they	PRON
cana-3406	44	18	are	be	AUX
cana-3406	44	19	highly	highly	ADV
cana-3406	44	20	costly	costly	ADJ
cana-3406	44	21	and	and	CCONJ
cana-3406	44	22	resource	resource	NOUN
cana-3406	44	23	-	-	PUNCT
cana-3406	44	24	intensive	intensive	ADJ
cana-3406	44	25	.	.	PUNCT
cana-3406	45	1	several	several	ADJ
cana-3406	45	2	nations	nation	NOUN
cana-3406	45	3	are	be	AUX
cana-3406	45	4	on	on	ADP
cana-3406	45	5	the	the	DET
cana-3406	45	6	verge	verge	NOUN
cana-3406	45	7	of	of	ADP
cana-3406	45	8	putting	put	VERB
cana-3406	45	9	radiologists	radiologist	NOUN
cana-3406	45	10	to	to	ADP
cana-3406	45	11	death	death	NOUN
cana-3406	45	12	,	,	PUNCT
cana-3406	45	13	which	which	PRON
cana-3406	45	14	would	would	AUX
cana-3406	45	15	make	make	VERB
cana-3406	45	16	matters	matter	NOUN
cana-3406	45	17	worse	bad	ADJ
cana-3406	45	18	.	.	PUNCT
cana-3406	46	1	the	the	DET
cana-3406	46	2	high	high	ADJ
cana-3406	46	3	rate	rate	NOUN
cana-3406	46	4	of	of	ADP
cana-3406	46	5	incorrect	incorrect	ADJ
cana-3406	46	6	results	result	NOUN
cana-3406	46	7	from	from	ADP
cana-3406	46	8	mammography	mammography	NOUN
cana-3406	46	9	tests	test	NOUN
cana-3406	46	10	is	be	AUX
cana-3406	46	11	a	a	DET
cana-3406	46	12	minor	minor	ADJ
cana-3406	46	13	but	but	CCONJ
cana-3406	46	14	important	important	ADJ
cana-3406	46	15	adverse	adverse	ADJ
cana-3406	46	16	effect	effect	NOUN
cana-3406	46	17	.	.	PUNCT
cana-3406	47	1	this	this	DET
cana-3406	47	2	situation	situation	NOUN
cana-3406	47	3	leads	lead	VERB
cana-3406	47	4	to	to	ADP
cana-3406	47	5	a	a	DET
cana-3406	47	6	number	number	NOUN
cana-3406	47	7	of	of	ADP
cana-3406	47	8	problems	problem	NOUN
cana-3406	47	9	,	,	PUNCT
cana-3406	47	10	such	such	ADJ
cana-3406	47	11	as	as	ADP
cana-3406	47	12	the	the	DET
cana-3406	47	13	patient	patient	NOUN
cana-3406	47	14	’s	’s	PART
cana-3406	47	15	unwarranted	unwarranted	ADJ
cana-3406	47	16	mental	mental	ADJ
cana-3406	47	17	distress	distress	NOUN
cana-3406	47	18	,	,	PUNCT
cana-3406	47	19	the	the	DET
cana-3406	47	20	requirement	requirement	NOUN
cana-3406	47	21	for	for	ADP
cana-3406	47	22	unwanted	unwanted	ADJ
cana-3406	47	23	help	help	NOUN
cana-3406	47	24	with	with	ADP
cana-3406	47	25	communications	communication	NOUN
cana-3406	47	26	on	on	ADP
cana-3406	47	27	applied	apply	VERB
cana-3406	47	28	nonlinear	nonlinear	ADJ
cana-3406	47	29	analysis	analysis	NOUN
cana-3406	47	30	issn	issn	NOUN
cana-3406	47	31	:	:	PUNCT
cana-3406	47	32	1074	1074	NUM
cana-3406	47	33	-	-	PUNCT
cana-3406	47	34	133x	133x	NUM
cana-3406	47	35	vol	vol	NOUN
cana-3406	47	36	32	32	NUM
cana-3406	47	37	no	no	NOUN
cana-3406	47	38	.	.	PUNCT
cana-3406	48	1	7s	7	NOUN
cana-3406	48	2	(	(	PUNCT
cana-3406	48	3	2025	2025	NUM
cana-3406	48	4	)	)	PUNCT
cana-3406	48	5	307	307	NUM
cana-3406	48	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3406	48	7	follow	follow	VERB
cana-3406	48	8	-	-	PUNCT
cana-3406	48	9	up	up	ADP
cana-3406	48	10	care	care	NOUN
cana-3406	48	11	,	,	PUNCT
cana-3406	48	12	further	further	ADJ
cana-3406	48	13	imaging	imaging	NOUN
cana-3406	48	14	tests	test	NOUN
cana-3406	48	15	,	,	PUNCT
cana-3406	48	16	and	and	CCONJ
cana-3406	48	17	occasionally	occasionally	ADV
cana-3406	48	18	the	the	DET
cana-3406	48	19	utilization	utilization	NOUN
cana-3406	48	20	of	of	ADP
cana-3406	48	21	invasive	invasive	ADJ
cana-3406	48	22	tissue	tissue	NOUN
cana-3406	48	23	collection	collection	NOUN
cana-3406	48	24	methods	method	NOUN
cana-3406	48	25	like	like	ADP
cana-3406	48	26	needle	needle	NOUN
cana-3406	48	27	biopsies	biopsy	NOUN
cana-3406	48	28	.	.	PUNCT
cana-3406	49	1	the	the	DET
cana-3406	49	2	medical	medical	ADJ
cana-3406	49	3	imagination	imagination	NOUN
cana-3406	49	4	sector	sector	NOUN
cana-3406	49	5	is	be	AUX
cana-3406	49	6	willing	willing	ADJ
cana-3406	49	7	to	to	PART
cana-3406	49	8	use	use	VERB
cana-3406	49	9	these	these	DET
cana-3406	49	10	methods	method	NOUN
cana-3406	49	11	to	to	PART
cana-3406	49	12	increase	increase	VERB
cana-3406	49	13	the	the	DET
cana-3406	49	14	precision	precision	NOUN
cana-3406	49	15	of	of	ADP
cana-3406	49	16	brc	brc	NOUN
cana-3406	49	17	detection	detection	NOUN
cana-3406	49	18	because	because	SCONJ
cana-3406	49	19	of	of	ADP
cana-3406	49	20	the	the	DET
cana-3406	49	21	continuous	continuous	ADJ
cana-3406	49	22	development	development	NOUN
cana-3406	49	23	of	of	ADP
cana-3406	49	24	dl	dl	PROPN
cana-3406	49	25	in	in	ADP
cana-3406	49	26	particular	particular	ADJ
cana-3406	49	27	.	.	PUNCT
cana-3406	50	1	among	among	ADP
cana-3406	50	2	cancers	cancer	NOUN
cana-3406	50	3	that	that	PRON
cana-3406	50	4	affect	affect	VERB
cana-3406	50	5	women	woman	NOUN
cana-3406	50	6	in	in	ADP
cana-3406	50	7	the	the	DET
cana-3406	50	8	us	us	PROPN
cana-3406	50	9	,	,	PUNCT
cana-3406	50	10	brc	brc	NOUN
cana-3406	50	11	ranks	rank	VERB
cana-3406	50	12	as	as	ADP
cana-3406	50	13	the	the	DET
cana-3406	50	14	second	second	ADJ
cana-3406	50	15	important	important	ADJ
cana-3406	50	16	origin	origin	NOUN
cana-3406	50	17	of	of	ADP
cana-3406	50	18	death	death	NOUN
cana-3406	50	19	.	.	PUNCT
cana-3406	51	1	screening	screen	VERB
cana-3406	51	2	mammography	mammography	NOUN
cana-3406	51	3	is	be	AUX
cana-3406	51	4	an	an	DET
cana-3406	51	5	important	important	ADJ
cana-3406	51	6	strategy	strategy	NOUN
cana-3406	51	7	for	for	ADP
cana-3406	51	8	reducing	reduce	VERB
cana-3406	51	9	mortality	mortality	NOUN
cana-3406	51	10	rates	rate	NOUN
cana-3406	51	11	.	.	PUNCT
cana-3406	52	1	however	however	ADV
cana-3406	52	2	,	,	PUNCT
cana-3406	52	3	screening	screen	VERB
cana-3406	52	4	mammography	mammography	NOUN
cana-3406	52	5	has	have	VERB
cana-3406	52	6	a	a	DET
cana-3406	52	7	high	high	ADJ
cana-3406	52	8	rate	rate	NOUN
cana-3406	52	9	of	of	ADP
cana-3406	52	10	false	false	ADJ
cana-3406	52	11	positives	positive	NOUN
cana-3406	52	12	and	and	CCONJ
cana-3406	52	13	false	false	ADJ
cana-3406	52	14	negatives	negative	NOUN
cana-3406	52	15	in	in	ADP
cana-3406	52	16	spite	spite	NOUN
cana-3406	52	17	of	of	ADP
cana-3406	52	18	these	these	DET
cana-3406	52	19	advantages	advantage	NOUN
cana-3406	52	20	.	.	PUNCT
cana-3406	53	1	figure	figure	NOUN
cana-3406	53	2	2	2	NUM
cana-3406	53	3	depicts	depict	VERB
cana-3406	53	4	the	the	DET
cana-3406	53	5	system	system	NOUN
cana-3406	53	6	architecture	architecture	NOUN
cana-3406	53	7	intended	intend	VERB
cana-3406	53	8	for	for	ADP
cana-3406	53	9	early	early	ADJ
cana-3406	53	10	cancer	cancer	NOUN
cana-3406	53	11	diagnosis	diagnosis	NOUN
cana-3406	53	12	.	.	PUNCT
cana-3406	54	1	it	it	PRON
cana-3406	54	2	uses	use	VERB
cana-3406	54	3	state	state	NOUN
cana-3406	54	4	-	-	PUNCT
cana-3406	54	5	of	of	ADP
cana-3406	54	6	-	-	PUNCT
cana-3406	54	7	the	the	DET
cana-3406	54	8	-	-	PUNCT
cana-3406	54	9	art	art	NOUN
cana-3406	54	10	technologies	technology	NOUN
cana-3406	54	11	like	like	ADP
cana-3406	54	12	dl	dl	PROPN
cana-3406	54	13	and	and	CCONJ
cana-3406	54	14	medical	medical	ADJ
cana-3406	54	15	imaging	imaging	NOUN
cana-3406	54	16	to	to	PART
cana-3406	54	17	increase	increase	VERB
cana-3406	54	18	the	the	DET
cana-3406	54	19	accuracy	accuracy	NOUN
cana-3406	54	20	of	of	ADP
cana-3406	54	21	the	the	DET
cana-3406	54	22	diagnosis	diagnosis	NOUN
cana-3406	54	23	.	.	PUNCT
cana-3406	55	1	the	the	DET
cana-3406	55	2	architecture	architecture	NOUN
cana-3406	55	3	emphasizes	emphasize	VERB
cana-3406	55	4	smooth	smooth	ADJ
cana-3406	55	5	data	datum	NOUN
cana-3406	55	6	flow	flow	NOUN
cana-3406	55	7	from	from	ADP
cana-3406	55	8	medical	medical	ADJ
cana-3406	55	9	image	image	NOUN
cana-3406	55	10	collecting	collect	VERB
cana-3406	55	11	to	to	ADP
cana-3406	55	12	automated	automate	VERB
cana-3406	55	13	analysis	analysis	NOUN
cana-3406	55	14	with	with	ADP
cana-3406	55	15	state	state	NOUN
cana-3406	55	16	-	-	PUNCT
cana-3406	55	17	of	of	ADP
cana-3406	55	18	-	-	PUNCT
cana-3406	55	19	the	the	DET
cana-3406	55	20	-	-	PUNCT
cana-3406	55	21	art	art	NOUN
cana-3406	55	22	algorithms	algorithm	NOUN
cana-3406	55	23	.	.	PUNCT
cana-3406	56	1	by	by	ADP
cana-3406	56	2	detecting	detect	VERB
cana-3406	56	3	any	any	DET
cana-3406	56	4	abnormalities	abnormality	NOUN
cana-3406	56	5	as	as	ADV
cana-3406	56	6	soon	soon	ADV
cana-3406	56	7	as	as	ADP
cana-3406	56	8	possible	possible	ADJ
cana-3406	56	9	,	,	PUNCT
cana-3406	56	10	this	this	DET
cana-3406	56	11	abbreviated	abbreviate	VERB
cana-3406	56	12	process	process	NOUN
cana-3406	56	13	aims	aim	VERB
cana-3406	56	14	to	to	PART
cana-3406	56	15	improve	improve	VERB
cana-3406	56	16	early	early	ADJ
cana-3406	56	17	diagnosis	diagnosis	NOUN
cana-3406	56	18	.	.	PUNCT
cana-3406	57	1	by	by	ADP
cana-3406	57	2	facilitating	facilitate	VERB
cana-3406	57	3	quick	quick	ADJ
cana-3406	57	4	intervention	intervention	NOUN
cana-3406	57	5	and	and	CCONJ
cana-3406	57	6	treatment	treatment	NOUN
cana-3406	57	7	options	option	NOUN
cana-3406	57	8	through	through	ADP
cana-3406	57	9	the	the	DET
cana-3406	57	10	combination	combination	NOUN
cana-3406	57	11	of	of	ADP
cana-3406	57	12	innovative	innovative	ADJ
cana-3406	57	13	approaches	approach	NOUN
cana-3406	57	14	,	,	PUNCT
cana-3406	57	15	the	the	DET
cana-3406	57	16	proposed	propose	VERB
cana-3406	57	17	system	system	NOUN
cana-3406	57	18	aims	aim	VERB
cana-3406	57	19	to	to	PART
cana-3406	57	20	enhance	enhance	VERB
cana-3406	57	21	the	the	DET
cana-3406	57	22	results	result	NOUN
cana-3406	57	23	for	for	ADP
cana-3406	57	24	patients	patient	NOUN
cana-3406	57	25	.	.	PUNCT
cana-3406	58	1	figure	figure	VERB
cana-3406	58	2	2	2	NUM
cana-3406	58	3	:	:	PUNCT
cana-3406	58	4	early	early	ADJ
cana-3406	58	5	-	-	PUNCT
cana-3406	58	6	stage	stage	NOUN
cana-3406	58	7	cancer	cancer	NOUN
cana-3406	58	8	detection	detection	NOUN
cana-3406	58	9	basic	basic	ADJ
cana-3406	58	10	procedural	procedural	ADJ
cana-3406	58	11	architecture	architecture	NOUN
cana-3406	58	12	the	the	DET
cana-3406	58	13	typical	typical	ADJ
cana-3406	58	14	digital	digital	ADJ
cana-3406	58	15	screening	screening	NOUN
cana-3406	58	16	mammography	mammography	NOUN
cana-3406	58	17	sensitivity	sensitivity	NOUN
cana-3406	58	18	and	and	CCONJ
cana-3406	58	19	specificity	specificity	NOUN
cana-3406	59	1	[	[	X
cana-3406	59	2	7	7	X
cana-3406	59	3	]	]	PUNCT
cana-3406	59	4	in	in	ADP
cana-3406	59	5	us	we	PRON
cana-3406	59	6	are	be	AUX
cana-3406	59	7	86.9	86.9	NUM
cana-3406	59	8	%	%	NOUN
cana-3406	59	9	and	and	CCONJ
cana-3406	59	10	88.9	88.9	NUM
cana-3406	59	11	%	%	NOUN
cana-3406	59	12	,	,	PUNCT
cana-3406	59	13	respectively	respectively	ADV
cana-3406	59	14	.	.	PUNCT
cana-3406	60	1	radiologists	radiologist	NOUN
cana-3406	60	2	have	have	AUX
cana-3406	60	3	been	be	AUX
cana-3406	60	4	using	use	VERB
cana-3406	60	5	cad	cad	PROPN
cana-3406	60	6	software	software	NOUN
cana-3406	60	7	to	to	PART
cana-3406	60	8	increase	increase	VERB
cana-3406	60	9	the	the	DET
cana-3406	60	10	prediction	prediction	NOUN
cana-3406	60	11	accuracy	accuracy	NOUN
cana-3406	60	12	of	of	ADP
cana-3406	60	13	screening	screen	VERB
cana-3406	60	14	mammograms	mammogram	NOUN
cana-3406	60	15	since	since	SCONJ
cana-3406	60	16	the	the	DET
cana-3406	60	17	1990s	1990s	NUM
cana-3406	60	18	.	.	PUNCT
cana-3406	61	1	unfortunately	unfortunately	ADV
cana-3406	61	2	,	,	PUNCT
cana-3406	61	3	performance	performance	NOUN
cana-3406	61	4	was	be	AUX
cana-3406	61	5	not	not	PART
cana-3406	61	6	greatly	greatly	ADV
cana-3406	61	7	improved	improve	VERB
cana-3406	61	8	by	by	ADP
cana-3406	61	9	the	the	DET
cana-3406	61	10	first	first	ADJ
cana-3406	61	11	generation	generation	NOUN
cana-3406	61	12	of	of	ADP
cana-3406	61	13	commercial	commercial	ADJ
cana-3406	61	14	cad	cad	PROPN
cana-3406	61	15	systems	system	NOUN
cana-3406	61	16	,	,	PUNCT
cana-3406	61	17	which	which	PRON
cana-3406	61	18	caused	cause	VERB
cana-3406	61	19	research	research	NOUN
cana-3406	61	20	to	to	PART
cana-3406	61	21	stall	stall	VERB
cana-3406	61	22	for	for	ADP
cana-3406	61	23	ten	ten	NUM
cana-3406	61	24	years	year	NOUN
cana-3406	61	25	.	.	PUNCT
cana-3406	62	1	however	however	ADV
cana-3406	62	2	,	,	PUNCT
cana-3406	62	3	because	because	SCONJ
cana-3406	62	4	of	of	ADP
cana-3406	62	5	its	its	PRON
cana-3406	62	6	remarkable	remarkable	ADJ
cana-3406	62	7	performance	performance	NOUN
cana-3406	62	8	in	in	ADP
cana-3406	62	9	object	object	NOUN
cana-3406	62	10	identification	identification	NOUN
cana-3406	62	11	and	and	CCONJ
cana-3406	62	12	other	other	ADJ
cana-3406	62	13	domains	domain	NOUN
cana-3406	62	14	,	,	PUNCT
cana-3406	62	15	dl	dl	PROPN
cana-3406	62	16	has	have	AUX
cana-3406	62	17	rekindled	rekindle	VERB
cana-3406	62	18	interest	interest	NOUN
cana-3406	62	19	in	in	ADP
cana-3406	62	20	developing	develop	VERB
cana-3406	62	21	dl	dl	NOUN
cana-3406	62	22	tools	tool	NOUN
cana-3406	62	23	for	for	ADP
cana-3406	62	24	radiologists	radiologist	NOUN
cana-3406	62	25	.	.	PUNCT
cana-3406	63	1	according	accord	VERB
cana-3406	63	2	to	to	ADP
cana-3406	63	3	recent	recent	ADJ
cana-3406	63	4	studies	study	NOUN
cana-3406	63	5	,	,	PUNCT
cana-3406	63	6	dl	dl	NOUN
cana-3406	63	7	-	-	PUNCT
cana-3406	63	8	based	base	VERB
cana-3406	63	9	cad	cad	PROPN
cana-3406	63	10	systems	system	NOUN
cana-3406	63	11	can	can	AUX
cana-3406	63	12	even	even	ADV
cana-3406	63	13	perform	perform	VERB
cana-3406	63	14	better	well	ADV
cana-3406	63	15	than	than	ADP
cana-3406	63	16	radiologists	radiologist	NOUN
cana-3406	63	17	when	when	SCONJ
cana-3406	63	18	used	use	VERB
cana-3406	63	19	in	in	ADP
cana-3406	63	20	support	support	NOUN
cana-3406	63	21	mode	mode	NOUN
cana-3406	63	22	than	than	ADP
cana-3406	63	23	when	when	SCONJ
cana-3406	63	24	used	use	VERB
cana-3406	63	25	independently	independently	ADV
cana-3406	63	26	.	.	PUNCT
cana-3406	64	1	literature	literature	NOUN
cana-3406	64	2	survey	survey	PROPN
cana-3406	64	3	background	background	NOUN
cana-3406	64	4	&	&	CCONJ
cana-3406	64	5	objective	objective	NOUN
cana-3406	64	6	:	:	PUNCT
cana-3406	64	7	one	one	NUM
cana-3406	64	8	of	of	ADP
cana-3406	64	9	the	the	DET
cana-3406	64	10	main	main	ADJ
cana-3406	64	11	causes	cause	NOUN
cana-3406	64	12	of	of	ADP
cana-3406	64	13	death	death	NOUN
cana-3406	64	14	for	for	ADP
cana-3406	64	15	women	woman	NOUN
cana-3406	64	16	,	,	PUNCT
cana-3406	64	17	particularly	particularly	ADV
cana-3406	64	18	in	in	ADP
cana-3406	64	19	poorer	poor	ADJ
cana-3406	64	20	nations	nation	NOUN
cana-3406	64	21	,	,	PUNCT
cana-3406	64	22	is	be	AUX
cana-3406	64	23	brc	brc	NOUN
cana-3406	64	24	.	.	PUNCT
cana-3406	65	1	in	in	ADP
cana-3406	65	2	order	order	NOUN
cana-3406	65	3	to	to	PART
cana-3406	65	4	lower	lower	VERB
cana-3406	65	5	death	death	NOUN
cana-3406	65	6	rates	rate	NOUN
cana-3406	65	7	,	,	PUNCT
cana-3406	65	8	timely	timely	ADJ
cana-3406	65	9	diagnosis	diagnosis	NOUN
cana-3406	65	10	,	,	PUNCT
cana-3406	65	11	detection	detection	NOUN
cana-3406	65	12	,	,	PUNCT
cana-3406	65	13	prediction	prediction	NOUN
cana-3406	65	14	,	,	PUNCT
cana-3406	65	15	and	and	CCONJ
cana-3406	65	16	effective	effective	ADJ
cana-3406	65	17	treatment	treatment	NOUN
cana-3406	65	18	are	be	AUX
cana-3406	65	19	now	now	ADV
cana-3406	65	20	essential	essential	ADJ
cana-3406	65	21	.	.	PUNCT
cana-3406	66	1	models	model	NOUN
cana-3406	66	2	for	for	ADP
cana-3406	66	3	predicting	predict	VERB
cana-3406	66	4	and	and	CCONJ
cana-3406	66	5	diagnosing	diagnose	VERB
cana-3406	66	6	brc	brc	NOUN
cana-3406	66	7	become	become	VERB
cana-3406	66	8	more	more	ADV
cana-3406	66	9	reliable	reliable	ADJ
cana-3406	66	10	and	and	CCONJ
cana-3406	66	11	accurate	accurate	ADJ
cana-3406	66	12	as	as	ADP
cana-3406	66	13	artificial	artificial	ADJ
cana-3406	66	14	intelligence	intelligence	NOUN
cana-3406	66	15	(	(	PUNCT
cana-3406	66	16	ai	ai	NOUN
cana-3406	66	17	)	)	PUNCT
cana-3406	66	18	,	,	PUNCT
cana-3406	66	19	communications	communication	NOUN
cana-3406	66	20	on	on	ADP
cana-3406	66	21	applied	apply	VERB
cana-3406	66	22	nonlinear	nonlinear	ADJ
cana-3406	66	23	analysis	analysis	NOUN
cana-3406	66	24	issn	issn	NOUN
cana-3406	66	25	:	:	PUNCT
cana-3406	66	26	1074	1074	NUM
cana-3406	66	27	-	-	PUNCT
cana-3406	66	28	133x	133x	NUM
cana-3406	66	29	vol	vol	NOUN
cana-3406	66	30	32	32	NUM
cana-3406	66	31	no	no	NOUN
cana-3406	66	32	.	.	PUNCT
cana-3406	67	1	7s	7	NOUN
cana-3406	67	2	(	(	PUNCT
cana-3406	67	3	2025	2025	NUM
cana-3406	67	4	)	)	PUNCT
cana-3406	67	5	308	308	NUM
cana-3406	67	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3406	67	7	machine	machine	NOUN
cana-3406	67	8	learning	learning	NOUN
cana-3406	67	9	(	(	PUNCT
cana-3406	67	10	ml	ml	NOUN
cana-3406	67	11	)	)	PUNCT
cana-3406	67	12	,	,	PUNCT
cana-3406	67	13	and	and	CCONJ
cana-3406	67	14	dl	dl	PROPN
cana-3406	67	15	approaches	approach	NOUN
cana-3406	67	16	are	be	AUX
cana-3406	67	17	used	use	VERB
cana-3406	67	18	more	more	ADV
cana-3406	67	19	frequently	frequently	ADV
cana-3406	67	20	.	.	PUNCT
cana-3406	68	1	examining	examine	VERB
cana-3406	68	2	the	the	DET
cana-3406	68	3	efficacy	efficacy	NOUN
cana-3406	68	4	of	of	ADP
cana-3406	68	5	various	various	ADJ
cana-3406	68	6	ml	ml	NOUN
cana-3406	68	7	and	and	CCONJ
cana-3406	68	8	contemporary	contemporary	ADJ
cana-3406	68	9	dl	dl	PROPN
cana-3406	68	10	models	model	NOUN
cana-3406	68	11	for	for	ADP
cana-3406	68	12	brc	brc	NOUN
cana-3406	68	13	diagnosis	diagnosis	NOUN
cana-3406	68	14	and	and	CCONJ
cana-3406	68	15	prediction	prediction	NOUN
cana-3406	68	16	is	be	AUX
cana-3406	68	17	the	the	DET
cana-3406	68	18	goal	goal	NOUN
cana-3406	68	19	of	of	ADP
cana-3406	68	20	this	this	DET
cana-3406	68	21	study	study	NOUN
cana-3406	68	22	.	.	PUNCT
cana-3406	69	1	breast	breast	NOUN
cana-3406	69	2	-	-	PUNCT
cana-3406	69	3	cancer	cancer	NOUN
cana-3406	69	4	-	-	PUNCT
cana-3406	69	5	diagnosis	diagnosis	NOUN
cana-3406	69	6	methods	method	NOUN
cana-3406	69	7	based	base	VERB
cana-3406	69	8	on	on	ADP
cana-3406	69	9	dl	dl	PROPN
cana-3406	69	10	:	:	PUNCT
cana-3406	69	11	recent	recent	ADJ
cana-3406	69	12	advances	advance	NOUN
cana-3406	69	13	in	in	ADP
cana-3406	69	14	dl	dl	PROPN
cana-3406	69	15	algorithms	algorithm	NOUN
cana-3406	69	16	and	and	CCONJ
cana-3406	69	17	their	their	PRON
cana-3406	69	18	exceptional	exceptional	ADJ
cana-3406	69	19	performance	performance	NOUN
cana-3406	69	20	have	have	AUX
cana-3406	69	21	encouraged	encourage	VERB
cana-3406	69	22	several	several	ADJ
cana-3406	69	23	researchers	researcher	NOUN
cana-3406	69	24	to	to	PART
cana-3406	69	25	use	use	VERB
cana-3406	69	26	dl	dl	PROPN
cana-3406	69	27	to	to	ADP
cana-3406	69	28	the	the	DET
cana-3406	69	29	diagnosis	diagnosis	NOUN
cana-3406	69	30	of	of	ADP
cana-3406	69	31	brc	brc	NOUN
cana-3406	69	32	.	.	PUNCT
cana-3406	70	1	the	the	DET
cana-3406	70	2	ability	ability	NOUN
cana-3406	70	3	to	to	PART
cana-3406	70	4	categorize	categorize	VERB
cana-3406	70	5	breast	breast	NOUN
cana-3406	70	6	masses	masse	NOUN
cana-3406	70	7	as	as	ADP
cana-3406	70	8	benign	benign	ADJ
cana-3406	70	9	or	or	CCONJ
cana-3406	70	10	malignant	malignant	ADJ
cana-3406	70	11	without	without	ADP
cana-3406	70	12	the	the	DET
cana-3406	70	13	requirement	requirement	NOUN
cana-3406	70	14	for	for	ADP
cana-3406	70	15	a	a	DET
cana-3406	70	16	selection	selection	NOUN
cana-3406	70	17	procedure	procedure	NOUN
cana-3406	70	18	,	,	PUNCT
cana-3406	70	19	lesion	lesion	NOUN
cana-3406	70	20	segmentation	segmentation	NOUN
cana-3406	70	21	,	,	PUNCT
cana-3406	70	22	or	or	CCONJ
cana-3406	70	23	image	image	NOUN
cana-3406	70	24	feature	feature	NOUN
cana-3406	70	25	calculation	calculation	NOUN
cana-3406	70	26	is	be	AUX
cana-3406	70	27	one	one	NUM
cana-3406	70	28	of	of	ADP
cana-3406	70	29	the	the	DET
cana-3406	70	30	benefits	benefit	NOUN
cana-3406	70	31	of	of	ADP
cana-3406	70	32	the	the	DET
cana-3406	70	33	dl	dl	PROPN
cana-3406	70	34	-	-	PUNCT
cana-3406	70	35	based	base	VERB
cana-3406	70	36	cad	cad	NOUN
cana-3406	70	37	technique	technique	NOUN
cana-3406	70	38	[	[	X
cana-3406	70	39	11	11	NUM
cana-3406	70	40	-	-	SYM
cana-3406	70	41	19	19	NUM
cana-3406	70	42	]	]	PUNCT
cana-3406	70	43	.	.	PUNCT
cana-3406	71	1	this	this	DET
cana-3406	71	2	section	section	NOUN
cana-3406	71	3	discusses	discuss	VERB
cana-3406	71	4	the	the	DET
cana-3406	71	5	main	main	ADJ
cana-3406	71	6	categories	category	NOUN
cana-3406	71	7	of	of	ADP
cana-3406	71	8	dl	dl	NOUN
cana-3406	71	9	-	-	PUNCT
cana-3406	71	10	based	base	VERB
cana-3406	71	11	brc	brc	NOUN
cana-3406	71	12	diagnosis	diagnosis	NOUN
cana-3406	71	13	methods	method	NOUN
cana-3406	71	14	currently	currently	ADV
cana-3406	71	15	in	in	ADP
cana-3406	71	16	use	use	NOUN
cana-3406	71	17	.	.	PUNCT
cana-3406	72	1	these	these	PRON
cana-3406	72	2	include	include	VERB
cana-3406	72	3	generative	generative	ADJ
cana-3406	72	4	adversarial	adversarial	ADJ
cana-3406	72	5	networks	network	NOUN
cana-3406	72	6	(	(	PUNCT
cana-3406	72	7	gan	gan	PROPN
cana-3406	72	8	)	)	PUNCT
cana-3406	72	9	,	,	PUNCT
cana-3406	72	10	autoencoders	autoencoder	NOUN
cana-3406	72	11	,	,	PUNCT
cana-3406	72	12	dl	dl	PROPN
cana-3406	72	13	networks	networks	PROPN
cana-3406	72	14	,	,	PUNCT
cana-3406	72	15	cnn	cnn	PROPN
cana-3406	72	16	,	,	PUNCT
cana-3406	72	17	elm	elm	PROPN
cana-3406	72	18	,	,	PUNCT
cana-3406	72	19	and	and	CCONJ
cana-3406	72	20	ann	ann	PROPN
cana-3406	72	21	.	.	PUNCT
cana-3406	73	1	the	the	DET
cana-3406	73	2	number	number	NOUN
cana-3406	73	3	of	of	ADP
cana-3406	73	4	research	research	NOUN
cana-3406	73	5	on	on	ADP
cana-3406	73	6	brc	brc	NOUN
cana-3406	73	7	diagnosis	diagnosis	NOUN
cana-3406	73	8	that	that	PRON
cana-3406	73	9	are	be	AUX
cana-3406	73	10	published	publish	VERB
cana-3406	73	11	annually	annually	ADV
cana-3406	73	12	employing	employ	VERB
cana-3406	73	13	various	various	ADJ
cana-3406	73	14	architectures	architecture	NOUN
cana-3406	73	15	is	be	AUX
cana-3406	73	16	shown	show	VERB
cana-3406	73	17	in	in	ADP
cana-3406	73	18	figure	figure	NOUN
cana-3406	73	19	3	3	NUM
cana-3406	73	20	.	.	PUNCT
cana-3406	73	21	figure	figure	NOUN
cana-3406	73	22	3	3	NUM
cana-3406	73	23	.	.	PUNCT
cana-3406	74	1	the	the	DET
cana-3406	74	2	number	number	NOUN
cana-3406	74	3	of	of	ADP
cana-3406	74	4	dl	dl	NOUN
cana-3406	74	5	-	-	PUNCT
cana-3406	74	6	based	base	VERB
cana-3406	74	7	brc	brc	NOUN
cana-3406	74	8	studies	study	NOUN
cana-3406	74	9	that	that	PRON
cana-3406	74	10	have	have	AUX
cana-3406	74	11	been	be	AUX
cana-3406	74	12	published	publish	VERB
cana-3406	74	13	during	during	ADP
cana-3406	74	14	the	the	DET
cana-3406	74	15	last	last	ADJ
cana-3406	74	16	six	six	NUM
cana-3406	74	17	years	year	NOUN
cana-3406	74	18	is	be	AUX
cana-3406	74	19	displayed	display	VERB
cana-3406	74	20	in	in	ADP
cana-3406	74	21	this	this	DET
cana-3406	74	22	image	image	NOUN
cana-3406	74	23	.	.	PUNCT
cana-3406	75	1	artificial	artificial	ADJ
cana-3406	75	2	neural	neural	ADJ
cana-3406	75	3	network	network	NOUN
cana-3406	75	4	(	(	PUNCT
cana-3406	75	5	ann	ann	PROPN
cana-3406	75	6	)	)	PUNCT
cana-3406	75	7	ann	ann	PROPN
cana-3406	75	8	is	be	AUX
cana-3406	75	9	a	a	DET
cana-3406	75	10	scientific	scientific	ADJ
cana-3406	75	11	model	model	NOUN
cana-3406	75	12	that	that	PRON
cana-3406	75	13	is	be	AUX
cana-3406	75	14	in	in	ADP
cana-3406	75	15	line	line	NOUN
cana-3406	75	16	with	with	ADP
cana-3406	75	17	the	the	DET
cana-3406	75	18	capabilities	capability	NOUN
cana-3406	75	19	and	and	CCONJ
cana-3406	75	20	structure	structure	NOUN
cana-3406	75	21	of	of	ADP
cana-3406	75	22	a	a	DET
cana-3406	75	23	biological	biological	ADJ
cana-3406	75	24	neural	neural	ADJ
cana-3406	75	25	network	network	NOUN
cana-3406	75	26	.	.	PUNCT
cana-3406	76	1	from	from	ADP
cana-3406	76	2	a	a	DET
cana-3406	76	3	computer	computer	NOUN
cana-3406	76	4	science	science	NOUN
cana-3406	76	5	perspective	perspective	NOUN
cana-3406	76	6	,	,	PUNCT
cana-3406	76	7	it	it	PRON
cana-3406	76	8	receives	receive	VERB
cana-3406	76	9	,	,	PUNCT
cana-3406	76	10	processes	process	NOUN
cana-3406	76	11	,	,	PUNCT
cana-3406	76	12	and	and	CCONJ
cana-3406	76	13	transmits	transmit	VERB
cana-3406	76	14	information	information	NOUN
cana-3406	76	15	in	in	ADP
cana-3406	76	16	a	a	DET
cana-3406	76	17	manner	manner	NOUN
cana-3406	76	18	akin	akin	ADJ
cana-3406	76	19	to	to	ADP
cana-3406	76	20	that	that	PRON
cana-3406	76	21	of	of	ADP
cana-3406	76	22	a	a	DET
cana-3406	76	23	real	real	ADJ
cana-3406	76	24	human	human	ADJ
cana-3406	76	25	brain	brain	NOUN
cana-3406	76	26	.	.	PUNCT
cana-3406	77	1	the	the	DET
cana-3406	77	2	diagnosis	diagnosis	NOUN
cana-3406	77	3	of	of	ADP
cana-3406	77	4	brc	brc	PROPN
cana-3406	77	5	relies	rely	VERB
cana-3406	77	6	heavily	heavily	ADV
cana-3406	77	7	on	on	ADP
cana-3406	77	8	anns	ann	NOUN
cana-3406	77	9	.	.	PUNCT
cana-3406	78	1	it	it	PRON
cana-3406	78	2	is	be	AUX
cana-3406	78	3	crucial	crucial	ADJ
cana-3406	78	4	to	to	PART
cana-3406	78	5	make	make	VERB
cana-3406	78	6	clear	clear	ADJ
cana-3406	78	7	that	that	SCONJ
cana-3406	78	8	anns	ann	NOUN
cana-3406	78	9	are	be	AUX
cana-3406	78	10	meant	mean	VERB
cana-3406	78	11	to	to	PART
cana-3406	78	12	assist	assist	VERB
cana-3406	78	13	radiologists	radiologist	NOUN
cana-3406	78	14	in	in	ADP
cana-3406	78	15	maintaining	maintain	VERB
cana-3406	78	16	their	their	PRON
cana-3406	78	17	accuracy	accuracy	NOUN
cana-3406	78	18	and	and	CCONJ
cana-3406	78	19	dependability	dependability	NOUN
cana-3406	78	20	,	,	PUNCT
cana-3406	78	21	not	not	PART
cana-3406	78	22	to	to	PART
cana-3406	78	23	take	take	VERB
cana-3406	78	24	their	their	PRON
cana-3406	78	25	position	position	NOUN
cana-3406	78	26	.	.	PUNCT
cana-3406	79	1	ann	ann	PROPN
cana-3406	79	2	-	-	PUNCT
cana-3406	79	3	using	use	VERB
cana-3406	79	4	radiologists	radiologist	NOUN
cana-3406	79	5	will	will	AUX
cana-3406	79	6	eventually	eventually	ADV
cana-3406	79	7	displace	displace	VERB
cana-3406	79	8	their	their	PRON
cana-3406	79	9	nonann	nonann	NOUN
cana-3406	79	10	-	-	PUNCT
cana-3406	79	11	using	use	VERB
cana-3406	79	12	counterparts	counterpart	NOUN
cana-3406	79	13	.	.	PUNCT
cana-3406	80	1	radiologists	radiologist	NOUN
cana-3406	80	2	are	be	AUX
cana-3406	80	3	receiving	receive	VERB
cana-3406	80	4	training	training	NOUN
cana-3406	80	5	on	on	ADP
cana-3406	80	6	how	how	SCONJ
cana-3406	80	7	to	to	PART
cana-3406	80	8	identify	identify	VERB
cana-3406	80	9	the	the	DET
cana-3406	80	10	weaknesses	weakness	NOUN
cana-3406	80	11	of	of	ADP
cana-3406	80	12	anns	anns	NOUN
cana-3406	80	13	and	and	CCONJ
cana-3406	80	14	take	take	VERB
cana-3406	80	15	use	use	NOUN
cana-3406	80	16	of	of	ADP
cana-3406	80	17	their	their	PRON
cana-3406	80	18	benefits	benefit	NOUN
cana-3406	80	19	.	.	PUNCT
cana-3406	81	1	radiologists	radiologist	NOUN
cana-3406	81	2	shield	shield	VERB
cana-3406	81	3	patients	patient	NOUN
cana-3406	81	4	from	from	ADP
cana-3406	81	5	false	false	ADJ
cana-3406	81	6	-	-	PUNCT
cana-3406	81	7	positive	positive	ADJ
cana-3406	81	8	results	result	NOUN
cana-3406	81	9	from	from	ADP
cana-3406	81	10	artificial	artificial	ADJ
cana-3406	81	11	neural	neural	ADJ
cana-3406	81	12	networks	network	NOUN
cana-3406	81	13	[	[	X
cana-3406	81	14	21	21	NUM
cana-3406	81	15	]	]	PUNCT
cana-3406	81	16	.	.	PUNCT
cana-3406	82	1	although	although	SCONJ
cana-3406	82	2	it	it	PRON
cana-3406	82	3	requires	require	VERB
cana-3406	82	4	more	more	ADJ
cana-3406	82	5	time	time	NOUN
cana-3406	82	6	to	to	PART
cana-3406	82	7	train	train	VERB
cana-3406	82	8	for	for	ADP
cana-3406	82	9	complex	complex	ADJ
cana-3406	82	10	tasks	task	NOUN
cana-3406	82	11	,	,	PUNCT
cana-3406	82	12	anns	anns	NOUN
cana-3406	82	13	with	with	ADP
cana-3406	82	14	several	several	ADJ
cana-3406	82	15	hidden	hidden	ADJ
cana-3406	82	16	layers	layer	NOUN
cana-3406	82	17	perform	perform	VERB
cana-3406	82	18	well	well	ADV
cana-3406	82	19	.	.	PUNCT
cana-3406	83	1	figure	figure	VERB
cana-3406	83	2	4	4	NUM
cana-3406	83	3	.	.	PUNCT
cana-3406	84	1	an	an	DET
cana-3406	84	2	example	example	NOUN
cana-3406	84	3	of	of	ADP
cana-3406	84	4	a	a	DET
cana-3406	84	5	multi	multi	ADJ
cana-3406	84	6	-	-	ADJ
cana-3406	84	7	layered	layered	ADJ
cana-3406	84	8	ann	ann	PROPN
cana-3406	84	9	used	use	VERB
cana-3406	84	10	to	to	PART
cana-3406	84	11	diagnose	diagnose	VERB
cana-3406	84	12	brc	brc	NOUN
cana-3406	84	13	communications	communication	NOUN
cana-3406	84	14	on	on	ADP
cana-3406	84	15	applied	apply	VERB
cana-3406	84	16	nonlinear	nonlinear	ADJ
cana-3406	84	17	analysis	analysis	NOUN
cana-3406	84	18	issn	issn	NOUN
cana-3406	84	19	:	:	PUNCT
cana-3406	84	20	1074	1074	NUM
cana-3406	84	21	-	-	PUNCT
cana-3406	84	22	133x	133x	NUM
cana-3406	84	23	vol	vol	NOUN
cana-3406	84	24	32	32	NUM
cana-3406	84	25	no	no	NOUN
cana-3406	84	26	.	.	PUNCT
cana-3406	85	1	7s	7	NOUN
cana-3406	85	2	(	(	PUNCT
cana-3406	85	3	2025	2025	NUM
cana-3406	85	4	)	)	PUNCT
cana-3406	85	5	309	309	NUM
cana-3406	85	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3406	85	7	figure	figure	NOUN
cana-3406	85	8	4	4	NUM
cana-3406	85	9	shows	show	VERB
cana-3406	85	10	the	the	DET
cana-3406	85	11	fundamental	fundamental	ADJ
cana-3406	85	12	design	design	NOUN
cana-3406	85	13	of	of	ADP
cana-3406	85	14	an	an	DET
cana-3406	85	15	ann	ann	PROPN
cana-3406	86	1	[	[	X
cana-3406	86	2	22	22	NUM
cana-3406	86	3	-	-	SYM
cana-3406	86	4	23	23	NUM
cana-3406	86	5	]	]	PUNCT
cana-3406	86	6	with	with	ADP
cana-3406	86	7	several	several	ADJ
cana-3406	86	8	hidden	hidden	ADJ
cana-3406	86	9	layers	layer	NOUN
cana-3406	86	10	.	.	PUNCT
cana-3406	87	1	a	a	DET
cana-3406	87	2	few	few	ADJ
cana-3406	87	3	-	-	PUNCT
cana-3406	87	4	layer	layer	NOUN
cana-3406	87	5	ann	ann	PROPN
cana-3406	87	6	,	,	PUNCT
cana-3406	87	7	on	on	ADP
cana-3406	87	8	the	the	DET
cana-3406	87	9	other	other	ADJ
cana-3406	87	10	hand	hand	NOUN
cana-3406	87	11	,	,	PUNCT
cana-3406	87	12	is	be	AUX
cana-3406	87	13	easy	easy	ADJ
cana-3406	87	14	to	to	PART
cana-3406	87	15	design	design	VERB
cana-3406	87	16	and	and	CCONJ
cana-3406	87	17	train	train	NOUN
cana-3406	87	18	,	,	PUNCT
cana-3406	87	19	optimize	optimize	VERB
cana-3406	87	20	the	the	DET
cana-3406	87	21	training	training	NOUN
cana-3406	87	22	parameters	parameter	NOUN
cana-3406	87	23	.	.	PUNCT
cana-3406	88	1	moreover	moreover	ADV
cana-3406	88	2	,	,	PUNCT
cana-3406	88	3	greater	great	ADJ
cana-3406	88	4	generalization	generalization	NOUN
cana-3406	88	5	efficiency	efficiency	NOUN
cana-3406	88	6	is	be	AUX
cana-3406	88	7	achieved	achieve	VERB
cana-3406	88	8	with	with	ADP
cana-3406	88	9	a	a	DET
cana-3406	88	10	smaller	small	ADJ
cana-3406	88	11	amount	amount	NOUN
cana-3406	88	12	of	of	ADP
cana-3406	88	13	data	datum	NOUN
cana-3406	88	14	.	.	PUNCT
cana-3406	89	1	however	however	ADV
cana-3406	89	2	,	,	PUNCT
cana-3406	89	3	function	function	VERB
cana-3406	89	4	well	well	ADV
cana-3406	89	5	with	with	ADP
cana-3406	89	6	high	high	ADJ
cana-3406	89	7	-	-	PUNCT
cana-3406	89	8	dimensional	dimensional	ADJ
cana-3406	89	9	statistics	statistic	NOUN
cana-3406	89	10	.	.	PUNCT
cana-3406	90	1	table	table	NOUN
cana-3406	90	2	1	1	NUM
cana-3406	90	3	.	.	PUNCT
cana-3406	90	4	cutting	cut	VERB
cana-3406	90	5	-	-	PUNCT
cana-3406	90	6	edge	edge	NOUN
cana-3406	90	7	research	research	NOUN
cana-3406	90	8	using	use	VERB
cana-3406	90	9	ann	ann	PROPN
cana-3406	90	10	architecture	architecture	NOUN
cana-3406	90	11	author	author	NOUN
cana-3406	90	12	datasets	dataset	VERB
cana-3406	90	13	design	design	NOUN
cana-3406	90	14	study	study	NOUN
cana-3406	90	15	strong	strong	ADJ
cana-3406	90	16	point	point	NOUN
cana-3406	90	17	limitation	limitation	NOUN
cana-3406	90	18	jafari	jafari	ADJ
cana-3406	90	19	marandi	marandi	VERB
cana-3406	90	20	et	et	PROPN
cana-3406	90	21	al	al	PROPN
cana-3406	90	22	.	.	PUNCT
cana-3406	91	1	[	[	X
cana-3406	91	2	21	21	NUM
cana-3406	91	3	]	]	PUNCT
cana-3406	91	4	wdbc	wdbc	X
cana-3406	91	5	lssoed	lssoe	VERB
cana-3406	91	6	motivated	motivated	ADJ
cana-3406	91	7	to	to	PART
cana-3406	91	8	make	make	VERB
cana-3406	91	9	better	well	ADJ
cana-3406	91	10	choices	choice	NOUN
cana-3406	91	11	including	include	VERB
cana-3406	91	12	the	the	DET
cana-3406	91	13	missing	miss	VERB
cana-3406	91	14	values	value	NOUN
cana-3406	91	15	from	from	ADP
cana-3406	91	16	the	the	DET
cana-3406	91	17	dataset	dataset	NOUN
cana-3406	91	18	becker	becker	PROPN
cana-3406	91	19	et	et	PROPN
cana-3406	91	20	al	al	PROPN
cana-3406	91	21	.	.	PUNCT
cana-3406	92	1	[	[	X
cana-3406	92	2	22	22	NUM
cana-3406	92	3	]	]	X
cana-3406	92	4	bcdr	bcdr	X
cana-3406	92	5	ann	ann	PROPN
cana-3406	92	6	accurately	accurately	ADV
cana-3406	92	7	detect	detect	VERB
cana-3406	92	8	a	a	DET
cana-3406	92	9	tiny	tiny	ADJ
cana-3406	92	10	mass	mass	NOUN
cana-3406	92	11	lesion	lesion	NOUN
cana-3406	92	12	not	not	PART
cana-3406	92	13	enough	enough	ADJ
cana-3406	92	14	pictures	picture	NOUN
cana-3406	92	15	rouhi	rouhi	VERB
cana-3406	92	16	et	et	PROPN
cana-3406	92	17	al	al	PROPN
cana-3406	92	18	.	.	PUNCT
cana-3406	93	1	[	[	X
cana-3406	93	2	23	23	NUM
cana-3406	93	3	]	]	X
cana-3406	93	4	ddsm	ddsm	PROPN
cana-3406	93	5	,	,	PUNCT
cana-3406	93	6	mias	mias	PROPN
cana-3406	93	7	ann	ann	PROPN
cana-3406	93	8	recognize	recognize	VERB
cana-3406	93	9	tiny	tiny	ADJ
cana-3406	93	10	masses	masse	NOUN
cana-3406	93	11	correctly	correctly	ADV
cana-3406	93	12	not	not	PART
cana-3406	93	13	enough	enough	ADJ
cana-3406	93	14	pictures	picture	NOUN
cana-3406	93	15	convolutional	convolutional	ADJ
cana-3406	93	16	neural	neural	ADJ
cana-3406	93	17	network	network	NOUN
cana-3406	93	18	(	(	PUNCT
cana-3406	93	19	convnet	convnet	PROPN
cana-3406	93	20	)	)	PUNCT
cana-3406	93	21	a	a	DET
cana-3406	93	22	cnn	cnn	PROPN
cana-3406	93	23	often	often	ADV
cana-3406	93	24	known	know	VERB
cana-3406	93	25	as	as	ADP
cana-3406	93	26	convnet	convnet	NOUN
cana-3406	93	27	or	or	CCONJ
cana-3406	93	28	cnn	cnn	PROPN
cana-3406	93	29	is	be	AUX
cana-3406	93	30	a	a	DET
cana-3406	93	31	dl	dl	PROPN
cana-3406	93	32	framework	framework	NOUN
cana-3406	93	33	that	that	PRON
cana-3406	93	34	design	design	NOUN
cana-3406	93	35	ideas	idea	NOUN
cana-3406	93	36	form	form	VERB
cana-3406	93	37	the	the	DET
cana-3406	93	38	foundation	foundation	NOUN
cana-3406	93	39	of	of	ADP
cana-3406	93	40	cnn	cnn	PROPN
cana-3406	93	41	architecture	architecture	NOUN
cana-3406	93	42	:	:	PUNCT
cana-3406	93	43	sub	sub	ADJ
cana-3406	93	44	-	-	ADJ
cana-3406	93	45	sampling	sampling	ADJ
cana-3406	93	46	,	,	PUNCT
cana-3406	93	47	weight	weight	NOUN
cana-3406	93	48	sharing	sharing	NOUN
cana-3406	93	49	.	.	PUNCT
cana-3406	94	1	the	the	DET
cana-3406	94	2	original	original	ADJ
cana-3406	94	3	purpose	purpose	NOUN
cana-3406	94	4	of	of	ADP
cana-3406	94	5	the	the	DET
cana-3406	94	6	convnet	convnet	NOUN
cana-3406	94	7	was	be	AUX
cana-3406	94	8	to	to	PART
cana-3406	94	9	recognize	recognize	VERB
cana-3406	94	10	patterns	pattern	NOUN
cana-3406	94	11	in	in	ADP
cana-3406	94	12	two	two	NUM
cana-3406	94	13	-	-	PUNCT
cana-3406	94	14	dimensional	dimensional	ADJ
cana-3406	94	15	images	image	NOUN
cana-3406	94	16	.	.	PUNCT
cana-3406	95	1	three	three	NUM
cana-3406	95	2	layers	layer	NOUN
cana-3406	95	3	comprise	comprise	VERB
cana-3406	95	4	a	a	DET
cana-3406	95	5	convnet	convnet	NOUN
cana-3406	95	6	an	an	DET
cana-3406	95	7	output	output	NOUN
cana-3406	95	8	layer	layer	NOUN
cana-3406	95	9	,	,	PUNCT
cana-3406	95	10	maxpooling	maxpoole	VERB
cana-3406	95	11	layers	layer	NOUN
cana-3406	95	12	,	,	PUNCT
cana-3406	95	13	and	and	CCONJ
cana-3406	95	14	convolution	convolution	NOUN
cana-3406	95	15	layers	layer	NOUN
cana-3406	95	16	.	.	PUNCT
cana-3406	96	1	since	since	SCONJ
cana-3406	96	2	the	the	DET
cana-3406	96	3	convnet	convnet	NOUN
cana-3406	96	4	is	be	AUX
cana-3406	96	5	a	a	DET
cana-3406	96	6	key	key	ADJ
cana-3406	96	7	tool	tool	NOUN
cana-3406	96	8	in	in	ADP
cana-3406	96	9	brc	brc	NOUN
cana-3406	96	10	classification	classification	NOUN
cana-3406	96	11	.	.	PUNCT
cana-3406	97	1	in	in	ADP
cana-3406	97	2	earlier	early	ADJ
cana-3406	97	3	research	research	NOUN
cana-3406	97	4	,	,	PUNCT
cana-3406	97	5	convnets	convnet	NOUN
cana-3406	97	6	are	be	AUX
cana-3406	97	7	more	more	ADV
cana-3406	97	8	frequently	frequently	ADV
cana-3406	97	9	used	use	VERB
cana-3406	97	10	to	to	PART
cana-3406	97	11	create	create	VERB
cana-3406	97	12	a	a	DET
cana-3406	97	13	trustworthy	trustworthy	ADJ
cana-3406	97	14	brc	brc	NOUN
cana-3406	97	15	classification	classification	NOUN
cana-3406	97	16	model	model	NOUN
cana-3406	97	17	[	[	X
cana-3406	97	18	18	18	NUM
cana-3406	97	19	-	-	SYM
cana-3406	97	20	19	19	NUM
cana-3406	97	21	]	]	PUNCT
cana-3406	97	22	,	,	PUNCT
cana-3406	97	23	convnet	convnet	PROPN
cana-3406	97	24	s	s	VERB
cana-3406	97	25	are	be	AUX
cana-3406	97	26	utilized	utilize	VERB
cana-3406	97	27	with	with	ADP
cana-3406	97	28	a	a	DET
cana-3406	97	29	range	range	NOUN
cana-3406	97	30	of	of	ADP
cana-3406	97	31	imaging	imaging	NOUN
cana-3406	97	32	modalities	modality	NOUN
cana-3406	97	33	due	due	ADP
cana-3406	97	34	to	to	ADP
cana-3406	97	35	their	their	PRON
cana-3406	97	36	strong	strong	ADJ
cana-3406	97	37	picture	picture	NOUN
cana-3406	97	38	performance	performance	NOUN
cana-3406	97	39	.	.	PUNCT
cana-3406	98	1	however	however	ADV
cana-3406	98	2	,	,	PUNCT
cana-3406	98	3	training	train	VERB
cana-3406	98	4	a	a	DET
cana-3406	98	5	convnet	convnet	NOUN
cana-3406	98	6	requires	require	VERB
cana-3406	98	7	a	a	DET
cana-3406	98	8	lot	lot	NOUN
cana-3406	98	9	of	of	ADP
cana-3406	98	10	images	image	NOUN
cana-3406	98	11	.	.	PUNCT
cana-3406	99	1	achieving	achieve	VERB
cana-3406	99	2	decent	decent	ADJ
cana-3406	99	3	performance	performance	NOUN
cana-3406	99	4	with	with	ADP
cana-3406	99	5	a	a	DET
cana-3406	99	6	small	small	ADJ
cana-3406	99	7	number	number	NOUN
cana-3406	99	8	of	of	ADP
cana-3406	99	9	photos	photo	NOUN
cana-3406	99	10	is	be	AUX
cana-3406	99	11	challenging	challenge	VERB
cana-3406	99	12	.	.	PUNCT
cana-3406	100	1	furthermore	furthermore	ADV
cana-3406	100	2	,	,	PUNCT
cana-3406	100	3	the	the	DET
cana-3406	100	4	cost	cost	NOUN
cana-3406	100	5	of	of	ADP
cana-3406	100	6	acquiring	acquire	VERB
cana-3406	100	7	labelled	label	VERB
cana-3406	100	8	datasets	dataset	NOUN
cana-3406	100	9	in	in	ADP
cana-3406	100	10	medical	medical	ADJ
cana-3406	100	11	imaging	imaging	NOUN
cana-3406	100	12	makes	make	VERB
cana-3406	100	13	it	it	PRON
cana-3406	100	14	challenging	challenge	VERB
cana-3406	100	15	to	to	PART
cana-3406	100	16	acquire	acquire	VERB
cana-3406	100	17	sufficient	sufficient	ADJ
cana-3406	100	18	training	training	NOUN
cana-3406	100	19	data	datum	NOUN
cana-3406	100	20	.	.	PUNCT
cana-3406	101	1	convnet	convnet	PROPN
cana-3406	101	2	has	have	VERB
cana-3406	101	3	a	a	DET
cana-3406	101	4	lot	lot	NOUN
cana-3406	101	5	of	of	ADP
cana-3406	101	6	benefits	benefit	NOUN
cana-3406	101	7	.	.	PUNCT
cana-3406	102	1	a	a	DET
cana-3406	102	2	convnet	convnet	NOUN
cana-3406	102	3	requires	require	VERB
cana-3406	102	4	far	far	ADV
cana-3406	102	5	less	less	ADJ
cana-3406	102	6	pre	pre	ADJ
cana-3406	102	7	-	-	ADJ
cana-3406	102	8	processing	processing	NOUN
cana-3406	102	9	than	than	ADP
cana-3406	102	10	other	other	ADJ
cana-3406	102	11	classification	classification	NOUN
cana-3406	102	12	techniques	technique	NOUN
cana-3406	102	13	.	.	PUNCT
cana-3406	103	1	a	a	DET
cana-3406	103	2	single	single	ADJ
cana-3406	103	3	convnet	convnet	NOUN
cana-3406	103	4	design	design	NOUN
cana-3406	103	5	completely	completely	ADV
cana-3406	103	6	combines	combine	VERB
cana-3406	103	7	feature	feature	NOUN
cana-3406	103	8	extraction	extraction	NOUN
cana-3406	103	9	and	and	CCONJ
cana-3406	103	10	classification	classification	NOUN
cana-3406	103	11	.	.	PUNCT
cana-3406	104	1	finally	finally	ADV
cana-3406	104	2	,	,	PUNCT
cana-3406	104	3	it	it	PRON
cana-3406	104	4	can	can	AUX
cana-3406	104	5	withstand	withstand	VERB
cana-3406	104	6	local	local	ADJ
cana-3406	104	7	geometric	geometric	ADJ
cana-3406	104	8	aberrations	aberration	NOUN
cana-3406	104	9	and	and	CCONJ
cana-3406	104	10	image	image	NOUN
cana-3406	104	11	noise	noise	NOUN
cana-3406	104	12	.	.	PUNCT
cana-3406	105	1	as	as	ADP
cana-3406	105	2	a	a	DET
cana-3406	105	3	result	result	NOUN
cana-3406	105	4	,	,	PUNCT
cana-3406	105	5	research	research	NOUN
cana-3406	105	6	has	have	AUX
cana-3406	105	7	employed	employ	VERB
cana-3406	105	8	convnet	convnet	NOUN
cana-3406	105	9	s	s	NOUN
cana-3406	105	10	to	to	PART
cana-3406	105	11	perform	perform	VERB
cana-3406	105	12	brc	brc	NOUN
cana-3406	105	13	classification	classification	NOUN
cana-3406	105	14	and	and	CCONJ
cana-3406	105	15	extract	extract	VERB
cana-3406	105	16	valuable	valuable	ADJ
cana-3406	105	17	features	feature	NOUN
cana-3406	105	18	from	from	ADP
cana-3406	105	19	medical	medical	ADJ
cana-3406	105	20	images	image	NOUN
cana-3406	105	21	[	[	X
cana-3406	105	22	21	21	NUM
cana-3406	105	23	]	]	PUNCT
cana-3406	105	24	.	.	PUNCT
cana-3406	106	1	brc	brc	NOUN
cana-3406	106	2	classification	classification	NOUN
cana-3406	106	3	mostly	mostly	ADV
cana-3406	106	4	uses	use	VERB
cana-3406	106	5	tl	tl	PROPN
cana-3406	106	6	-	-	PUNCT
cana-3406	106	7	based	base	VERB
cana-3406	106	8	convnets	convnet	NOUN
cana-3406	106	9	(	(	PUNCT
cana-3406	106	10	pre	pre	ADJ
cana-3406	106	11	-	-	ADJ
cana-3406	106	12	trained	train	VERB
cana-3406	106	13	cnns	cnn	NOUN
cana-3406	106	14	)	)	PUNCT
cana-3406	106	15	and	and	CCONJ
cana-3406	106	16	de	de	ADJ
cana-3406	106	17	-	-	ADJ
cana-3406	106	18	novo	novo	ADJ
cana-3406	106	19	convnet	convnet	PROPN
cana-3406	106	20	s	s	PART
cana-3406	106	21	(	(	PUNCT
cana-3406	106	22	convnets	convnet	NOUN
cana-3406	106	23	trained	train	VERB
cana-3406	106	24	from	from	ADP
cana-3406	106	25	the	the	DET
cana-3406	106	26	beginning	beginning	NOUN
cana-3406	106	27	)	)	PUNCT
cana-3406	106	28	.	.	PUNCT
cana-3406	107	1	figure	figure	NOUN
cana-3406	107	2	5	5	NUM
cana-3406	107	3	.	.	PUNCT
cana-3406	108	1	an	an	DET
cana-3406	108	2	example	example	NOUN
cana-3406	108	3	of	of	ADP
cana-3406	108	4	a	a	DET
cana-3406	108	5	cnn	cnn	PROPN
cana-3406	108	6	-	-	PUNCT
cana-3406	108	7	based	base	VERB
cana-3406	108	8	model	model	NOUN
cana-3406	108	9	for	for	ADP
cana-3406	108	10	diagnosing	diagnose	VERB
cana-3406	108	11	brc	brc	NOUN
cana-3406	108	12	.	.	PUNCT
cana-3406	109	1	communications	communication	NOUN
cana-3406	109	2	on	on	ADP
cana-3406	109	3	applied	apply	VERB
cana-3406	109	4	nonlinear	nonlinear	ADJ
cana-3406	109	5	analysis	analysis	NOUN
cana-3406	109	6	issn	issn	NOUN
cana-3406	109	7	:	:	PUNCT
cana-3406	109	8	1074	1074	NUM
cana-3406	109	9	-	-	PUNCT
cana-3406	109	10	133x	133x	NUM
cana-3406	109	11	vol	vol	NOUN
cana-3406	109	12	32	32	NUM
cana-3406	109	13	no	no	NOUN
cana-3406	109	14	.	.	PUNCT
cana-3406	110	1	7s	7	NOUN
cana-3406	110	2	(	(	PUNCT
cana-3406	110	3	2025	2025	NUM
cana-3406	110	4	)	)	PUNCT
cana-3406	110	5	310	310	NUM
cana-3406	110	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3406	110	7	autoencoder	autoencoder	NOUN
cana-3406	110	8	an	an	DET
cana-3406	110	9	approach	approach	NOUN
cana-3406	110	10	to	to	ADP
cana-3406	110	11	unsupervised	unsupervised	ADJ
cana-3406	110	12	learning	learning	NOUN
cana-3406	110	13	by	by	ADP
cana-3406	110	14	using	use	VERB
cana-3406	110	15	back	back	ADJ
cana-3406	110	16	-	-	PUNCT
cana-3406	110	17	propagation	propagation	NOUN
cana-3406	110	18	,	,	PUNCT
cana-3406	110	19	the	the	DET
cana-3406	110	20	autoencoder	autoencoder	NOUN
cana-3406	110	21	modifies	modify	VERB
cana-3406	110	22	the	the	DET
cana-3406	110	23	desired	desire	VERB
cana-3406	110	24	values	value	NOUN
cana-3406	110	25	to	to	PART
cana-3406	110	26	correspond	correspond	VERB
cana-3406	110	27	with	with	ADP
cana-3406	110	28	the	the	DET
cana-3406	110	29	inputs	input	NOUN
cana-3406	110	30	.	.	PUNCT
cana-3406	111	1	input	input	NOUN
cana-3406	111	2	layer	layer	NOUN
cana-3406	111	3	,	,	PUNCT
cana-3406	111	4	hidden	hide	VERB
cana-3406	111	5	layer	layer	NOUN
cana-3406	111	6	and	and	CCONJ
cana-3406	111	7	decoding	decode	VERB
cana-3406	111	8	layer	layer	NOUN
cana-3406	111	9	are	be	AUX
cana-3406	111	10	the	the	DET
cana-3406	111	11	three	three	NUM
cana-3406	111	12	layers	layer	NOUN
cana-3406	111	13	that	that	PRON
cana-3406	111	14	make	make	VERB
cana-3406	111	15	up	up	ADP
cana-3406	111	16	this	this	DET
cana-3406	111	17	neural	neural	ADJ
cana-3406	111	18	network	network	NOUN
cana-3406	111	19	.	.	PUNCT
cana-3406	112	1	an	an	DET
cana-3406	112	2	input	input	NOUN
cana-3406	112	3	is	be	AUX
cana-3406	112	4	transformed	transform	VERB
cana-3406	112	5	into	into	ADP
cana-3406	112	6	a	a	DET
cana-3406	112	7	hidden	hide	VERB
cana-3406	112	8	layer	layer	NOUN
cana-3406	112	9	by	by	ADP
cana-3406	112	10	an	an	DET
cana-3406	112	11	autoencoder	autoencoder	NOUN
cana-3406	112	12	and	and	CCONJ
cana-3406	112	13	input	input	NOUN
cana-3406	112	14	from	from	ADP
cana-3406	112	15	the	the	DET
cana-3406	112	16	hidden	hide	VERB
cana-3406	112	17	layer	layer	NOUN
cana-3406	112	18	is	be	AUX
cana-3406	112	19	then	then	ADV
cana-3406	112	20	reconstructed	reconstruct	VERB
cana-3406	112	21	by	by	ADP
cana-3406	112	22	the	the	DET
cana-3406	112	23	decoder	decoder	NOUN
cana-3406	112	24	.	.	PUNCT
cana-3406	113	1	autoencoders	autoencoder	NOUN
cana-3406	113	2	come	come	VERB
cana-3406	113	3	in	in	ADP
cana-3406	113	4	four	four	NUM
cana-3406	113	5	varieties	variety	NOUN
cana-3406	113	6	:	:	PUNCT
cana-3406	113	7	contractive	contractive	ADJ
cana-3406	113	8	autoencoders	autoencoder	NOUN
cana-3406	113	9	(	(	PUNCT
cana-3406	113	10	cae	cae	NOUN
cana-3406	113	11	)	)	PUNCT
cana-3406	113	12	,	,	PUNCT
cana-3406	113	13	variational	variational	ADJ
cana-3406	113	14	autoencoders	autoencoder	NOUN
cana-3406	113	15	(	(	PUNCT
cana-3406	113	16	vae	vae	PROPN
cana-3406	113	17	)	)	PUNCT
cana-3406	113	18	,	,	PUNCT
cana-3406	113	19	sparse	sparse	ADJ
cana-3406	113	20	autoencoders	autoencoder	NOUN
cana-3406	113	21	(	(	PUNCT
cana-3406	113	22	sae	sae	PROPN
cana-3406	113	23	)	)	PUNCT
cana-3406	113	24	,	,	PUNCT
cana-3406	113	25	and	and	CCONJ
cana-3406	113	26	denoising	denoise	VERB
cana-3406	113	27	autoencoders	autoencoder	NOUN
cana-3406	113	28	(	(	PUNCT
cana-3406	113	29	dae	dae	NOUN
cana-3406	113	30	)	)	PUNCT
cana-3406	113	31	.	.	PUNCT
cana-3406	114	1	a	a	DET
cana-3406	114	2	denoising	denoise	VERB
cana-3406	114	3	variant	variant	NOUN
cana-3406	114	4	of	of	ADP
cana-3406	114	5	the	the	DET
cana-3406	114	6	stacked	stack	VERB
cana-3406	114	7	autoencoder	autoencoder	NOUN
cana-3406	114	8	is	be	AUX
cana-3406	114	9	the	the	DET
cana-3406	114	10	stacked	stacked	ADJ
cana-3406	114	11	denoising	denoise	VERB
cana-3406	114	12	autoencoder	autoencoder	NOUN
cana-3406	114	13	(	(	PUNCT
cana-3406	114	14	sdae	sdae	NOUN
cana-3406	114	15	)	)	PUNCT
cana-3406	114	16	.	.	PUNCT
cana-3406	115	1	we	we	PRON
cana-3406	115	2	benefit	benefit	VERB
cana-3406	115	3	from	from	ADP
cana-3406	115	4	auto	auto	NOUN
cana-3406	115	5	-	-	PUNCT
cana-3406	115	6	encoders	encoder	NOUN
cana-3406	115	7	since	since	SCONJ
cana-3406	115	8	they	they	PRON
cana-3406	115	9	lower	lower	VERB
cana-3406	115	10	the	the	DET
cana-3406	115	11	data	datum	NOUN
cana-3406	115	12	's	's	PART
cana-3406	115	13	dimensionality	dimensionality	NOUN
cana-3406	115	14	.	.	PUNCT
cana-3406	116	1	training	train	VERB
cana-3406	116	2	an	an	DET
cana-3406	116	3	autoencoder	autoencoder	NOUN
cana-3406	116	4	requires	require	VERB
cana-3406	116	5	a	a	DET
cana-3406	116	6	lot	lot	NOUN
cana-3406	116	7	of	of	ADP
cana-3406	116	8	data	datum	NOUN
cana-3406	116	9	,	,	PUNCT
cana-3406	116	10	processing	processing	NOUN
cana-3406	116	11	time	time	NOUN
cana-3406	116	12	,	,	PUNCT
cana-3406	116	13	model	model	NOUN
cana-3406	116	14	validation	validation	NOUN
cana-3406	116	15	,	,	PUNCT
cana-3406	116	16	and	and	CCONJ
cana-3406	116	17	hyperparameter	hyperparameter	NOUN
cana-3406	116	18	tweaking	tweaking	NOUN
cana-3406	116	19	.	.	PUNCT
cana-3406	117	1	despite	despite	SCONJ
cana-3406	117	2	their	their	PRON
cana-3406	117	3	similarities	similarity	NOUN
cana-3406	117	4	,	,	PUNCT
cana-3406	117	5	autoencoders	autoencoder	NOUN
cana-3406	117	6	are	be	AUX
cana-3406	117	7	more	more	ADV
cana-3406	117	8	adaptable	adaptable	ADJ
cana-3406	117	9	than	than	ADP
cana-3406	117	10	principal	principal	ADJ
cana-3406	117	11	component	component	NOUN
cana-3406	117	12	analysis	analysis	NOUN
cana-3406	117	13	(	(	PUNCT
cana-3406	117	14	pca	pca	PROPN
cana-3406	117	15	)	)	PUNCT
cana-3406	117	16	.	.	PUNCT
cana-3406	118	1	an	an	DET
cana-3406	118	2	autoencoder	autoencoder	NOUN
cana-3406	118	3	is	be	AUX
cana-3406	118	4	capable	capable	ADJ
cana-3406	118	5	of	of	ADP
cana-3406	118	6	both	both	CCONJ
cana-3406	118	7	linear	linear	ADJ
cana-3406	118	8	and	and	CCONJ
cana-3406	118	9	non	non	ADJ
cana-3406	118	10	-	-	ADJ
cana-3406	118	11	linear	linear	ADJ
cana-3406	118	12	transformation	transformation	NOUN
cana-3406	118	13	,	,	PUNCT
cana-3406	118	14	whereas	whereas	SCONJ
cana-3406	118	15	pca	pca	PROPN
cana-3406	118	16	is	be	AUX
cana-3406	118	17	limited	limit	VERB
cana-3406	118	18	to	to	ADP
cana-3406	118	19	linear	linear	ADJ
cana-3406	118	20	transformation	transformation	NOUN
cana-3406	118	21	.	.	PUNCT
cana-3406	119	1	figure	figure	NOUN
cana-3406	119	2	6	6	NUM
cana-3406	119	3	depicts	depict	VERB
cana-3406	119	4	an	an	DET
cana-3406	119	5	autoencoder	autoencoder	NOUN
cana-3406	119	6	's	's	PART
cana-3406	119	7	construction	construction	NOUN
cana-3406	119	8	.	.	PUNCT
cana-3406	120	1	figure	figure	VERB
cana-3406	120	2	6	6	NUM
cana-3406	120	3	:	:	PUNCT
cana-3406	120	4	a	a	DET
cana-3406	120	5	sample	sample	NOUN
cana-3406	120	6	of	of	ADP
cana-3406	120	7	the	the	DET
cana-3406	120	8	autoencoder	autoencoder	NOUN
cana-3406	120	9	model	model	NOUN
cana-3406	120	10	used	use	VERB
cana-3406	120	11	to	to	PART
cana-3406	120	12	diagnose	diagnose	VERB
cana-3406	120	13	brc	brc	NOUN
cana-3406	120	14	.	.	PUNCT
cana-3406	121	1	in	in	ADP
cana-3406	121	2	order	order	NOUN
cana-3406	121	3	to	to	PART
cana-3406	121	4	classify	classify	VERB
cana-3406	121	5	nucleus	nucleus	ADJ
cana-3406	121	6	patches	patch	NOUN
cana-3406	121	7	on	on	ADP
cana-3406	121	8	breast	breast	NOUN
cana-3406	121	9	cancer	cancer	NOUN
cana-3406	121	10	histopathology	histopathology	NOUN
cana-3406	121	11	pictures	picture	NOUN
cana-3406	121	12	,	,	PUNCT
cana-3406	121	13	xu	xu	PROPN
cana-3406	121	14	et	et	PROPN
cana-3406	121	15	al	al	PROPN
cana-3406	121	16	.	.	PUNCT
cana-3406	122	1	[	[	X
cana-3406	122	2	24	24	NUM
cana-3406	122	3	]	]	PUNCT
cana-3406	122	4	proposed	propose	VERB
cana-3406	122	5	a	a	DET
cana-3406	122	6	stacked	stack	VERB
cana-3406	122	7	sparse	sparse	ADJ
cana-3406	122	8	autoencoder	autoencoder	NOUN
cana-3406	122	9	(	(	PUNCT
cana-3406	122	10	ssae	ssae	NOUN
cana-3406	122	11	)	)	PUNCT
cana-3406	122	12	framework	framework	NOUN
cana-3406	122	13	made	make	VERB
cana-3406	122	14	up	up	ADP
cana-3406	122	15	of	of	ADP
cana-3406	122	16	two	two	NUM
cana-3406	122	17	sae	sae	NOUN
cana-3406	122	18	.	.	PUNCT
cana-3406	123	1	the	the	DET
cana-3406	123	2	ssae	ssae	NOUN
cana-3406	123	3	framework	framework	NOUN
cana-3406	123	4	learns	learn	VERB
cana-3406	123	5	high	high	ADJ
cana-3406	123	6	-	-	PUNCT
cana-3406	123	7	level	level	NOUN
cana-3406	123	8	features	feature	NOUN
cana-3406	123	9	for	for	ADP
cana-3406	123	10	better	well	ADJ
cana-3406	123	11	raw	raw	ADJ
cana-3406	123	12	input	input	NOUN
cana-3406	123	13	data	datum	NOUN
cana-3406	123	14	representation	representation	NOUN
cana-3406	123	15	in	in	ADP
cana-3406	123	16	an	an	DET
cana-3406	123	17	unsupervised	unsupervised	ADJ
cana-3406	123	18	way	way	NOUN
cana-3406	123	19	.	.	PUNCT
cana-3406	124	1	in	in	ADP
cana-3406	124	2	comparison	comparison	NOUN
cana-3406	124	3	to	to	ADP
cana-3406	124	4	pca+softmax	pca+softmax	PROPN
cana-3406	124	5	,	,	PUNCT
cana-3406	124	6	sae+softmax	sae+softmax	PROPN
cana-3406	124	7	,	,	PUNCT
cana-3406	124	8	and	and	CCONJ
cana-3406	124	9	the	the	DET
cana-3406	124	10	traditional	traditional	ADJ
cana-3406	124	11	softmax	softmax	NOUN
cana-3406	124	12	classifier	classifier	NOUN
cana-3406	124	13	,	,	PUNCT
cana-3406	124	14	the	the	DET
cana-3406	124	15	assessment	assessment	NOUN
cana-3406	124	16	result	result	VERB
cana-3406	124	17	using	use	VERB
cana-3406	124	18	ssae+softmax	ssae+softmax	PROPN
cana-3406	124	19	for	for	ADP
cana-3406	124	20	classifying	classify	VERB
cana-3406	124	21	nuclei	nucleus	NOUN
cana-3406	124	22	patches	patch	NOUN
cana-3406	124	23	was	be	AUX
cana-3406	124	24	superior	superior	ADJ
cana-3406	124	25	.	.	PUNCT
cana-3406	125	1	however	however	ADV
cana-3406	125	2	,	,	PUNCT
cana-3406	125	3	only	only	ADV
cana-3406	125	4	17	17	NUM
cana-3406	125	5	patients	patient	NOUN
cana-3406	125	6	were	be	AUX
cana-3406	125	7	included	include	VERB
cana-3406	125	8	in	in	ADP
cana-3406	125	9	the	the	DET
cana-3406	125	10	cohort	cohort	NOUN
cana-3406	125	11	from	from	ADP
cana-3406	125	12	which	which	PRON
cana-3406	125	13	the	the	DET
cana-3406	125	14	breast	breast	NOUN
cana-3406	125	15	histopathology	histopathology	NOUN
cana-3406	125	16	pictures	picture	NOUN
cana-3406	125	17	were	be	AUX
cana-3406	125	18	gathered	gather	VERB
cana-3406	125	19	.	.	PUNCT
cana-3406	126	1	follow	follow	VERB
cana-3406	126	2	-	-	PUNCT
cana-3406	126	3	up	up	ADP
cana-3406	126	4	research	research	NOUN
cana-3406	126	5	comprising	comprise	VERB
cana-3406	126	6	537	537	NUM
cana-3406	126	7	h&e	h&e	NOUN
cana-3406	126	8	-	-	PUNCT
cana-3406	126	9	stained	stain	VERB
cana-3406	126	10	histopathology	histopathology	NOUN
cana-3406	126	11	pictures	picture	NOUN
cana-3406	126	12	was	be	AUX
cana-3406	126	13	then	then	ADV
cana-3406	126	14	reported	report	VERB
cana-3406	126	15	by	by	ADP
cana-3406	126	16	cheng	cheng	PROPN
cana-3406	126	17	et	et	PROPN
cana-3406	126	18	al	al	PROPN
cana-3406	126	19	.	.	PUNCT
cana-3406	127	1	[	[	X
cana-3406	127	2	27	27	NUM
cana-3406	127	3	]	]	PUNCT
cana-3406	127	4	.	.	PUNCT
cana-3406	128	1	they	they	PRON
cana-3406	128	2	suggested	suggest	VERB
cana-3406	128	3	using	use	VERB
cana-3406	128	4	the	the	DET
cana-3406	128	5	ssae	ssae	NOUN
cana-3406	128	6	framework	framework	NOUN
cana-3406	128	7	to	to	PART
cana-3406	128	8	detect	detect	VERB
cana-3406	128	9	brc	brc	NOUN
cana-3406	128	10	nuclei	nucleus	NOUN
cana-3406	128	11	.	.	PUNCT
cana-3406	129	1	they	they	PRON
cana-3406	129	2	did	do	AUX
cana-3406	129	3	not	not	PART
cana-3406	129	4	,	,	PUNCT
cana-3406	129	5	however	however	ADV
cana-3406	129	6	,	,	PUNCT
cana-3406	129	7	take	take	VERB
cana-3406	129	8	into	into	ADP
cana-3406	129	9	account	account	NOUN
cana-3406	129	10	any	any	DET
cana-3406	129	11	pre	pre	ADJ
cana-3406	129	12	-	-	ADJ
cana-3406	129	13	processing	processing	ADJ
cana-3406	129	14	methods	method	NOUN
cana-3406	129	15	.	.	PUNCT
cana-3406	130	1	kadam	kadam	PROPN
cana-3406	130	2	et	et	PROPN
cana-3406	130	3	al	al	PROPN
cana-3406	130	4	.	.	PUNCT
cana-3406	131	1	[	[	X
cana-3406	131	2	25	25	NUM
cana-3406	131	3	]	]	PUNCT
cana-3406	131	4	shown	show	VERB
cana-3406	131	5	that	that	SCONJ
cana-3406	131	6	feature	feature	NOUN
cana-3406	131	7	ensemble	ensemble	ADJ
cana-3406	131	8	learning	learning	NOUN
cana-3406	131	9	with	with	ADP
cana-3406	131	10	ssae	ssae	NOUN
cana-3406	131	11	outperforms	outperform	VERB
cana-3406	131	12	the	the	DET
cana-3406	131	13	ssae+softmax	ssae+softmax	PROPN
cana-3406	131	14	architecture	architecture	NOUN
cana-3406	131	15	in	in	ADP
cana-3406	131	16	another	another	DET
cana-3406	131	17	investigation	investigation	NOUN
cana-3406	131	18	.	.	PUNCT
cana-3406	132	1	table	table	NOUN
cana-3406	132	2	2	2	NUM
cana-3406	132	3	:	:	PUNCT
cana-3406	132	4	cutting	cut	VERB
cana-3406	132	5	-	-	PUNCT
cana-3406	132	6	edge	edge	NOUN
cana-3406	132	7	research	research	NOUN
cana-3406	132	8	using	use	VERB
cana-3406	132	9	autoencoder	autoencoder	NOUN
cana-3406	132	10	architecture	architecture	NOUN
cana-3406	132	11	author	author	NOUN
cana-3406	132	12	dataset	dataset	VERB
cana-3406	132	13	design	design	NOUN
cana-3406	132	14	study	study	NOUN
cana-3406	132	15	strong	strong	ADJ
cana-3406	132	16	point	point	NOUN
cana-3406	132	17	limitation	limitation	NOUN
cana-3406	132	18	xu	xu	INTJ
cana-3406	132	19	et	et	PROPN
cana-3406	132	20	al	al	PROPN
cana-3406	132	21	.	.	PUNCT
cana-3406	133	1	[	[	X
cana-3406	133	2	24	24	NUM
cana-3406	133	3	]	]	SYM
cana-3406	133	4	pd	pd	NOUN
cana-3406	133	5	ssae	ssae	PROPN
cana-3406	133	6	+	+	CCONJ
cana-3406	133	7	softmax	softmax	ADJ
cana-3406	133	8	advanced	advanced	ADJ
cana-3406	133	9	feature	feature	NOUN
cana-3406	133	10	learning	learn	VERB
cana-3406	133	11	not	not	PART
cana-3406	133	12	enough	enough	ADJ
cana-3406	133	13	pictures	picture	NOUN
cana-3406	133	14	kadam	kadam	PROPN
cana-3406	133	15	et	et	PROPN
cana-3406	133	16	al	al	PROPN
cana-3406	133	17	.	.	PUNCT
cana-3406	134	1	[	[	X
cana-3406	134	2	25	25	NUM
cana-3406	134	3	]	]	PUNCT
cana-3406	134	4	wdbc	wdbc	PRON
cana-3406	134	5	fe	fe	X
cana-3406	134	6	-	-	ADJ
cana-3406	134	7	ssaesm	ssaesm	ADJ
cana-3406	134	8	sufficient	sufficient	ADJ
cana-3406	134	9	assessment	assessment	NOUN
cana-3406	134	10	lack	lack	NOUN
cana-3406	134	11	of	of	ADP
cana-3406	134	12	methods	method	NOUN
cana-3406	134	13	for	for	ADP
cana-3406	134	14	data	datum	NOUN
cana-3406	134	15	preprocessing	preprocesse	VERB
cana-3406	134	16	communications	communication	NOUN
cana-3406	134	17	on	on	ADP
cana-3406	134	18	applied	apply	VERB
cana-3406	134	19	nonlinear	nonlinear	ADJ
cana-3406	134	20	analysis	analysis	NOUN
cana-3406	134	21	issn	issn	NOUN
cana-3406	134	22	:	:	PUNCT
cana-3406	134	23	1074	1074	NUM
cana-3406	134	24	-	-	PUNCT
cana-3406	134	25	133x	133x	NUM
cana-3406	134	26	vol	vol	NOUN
cana-3406	134	27	32	32	NUM
cana-3406	134	28	no	no	NOUN
cana-3406	134	29	.	.	PUNCT
cana-3406	135	1	7s	7	NOUN
cana-3406	135	2	(	(	PUNCT
cana-3406	135	3	2025	2025	NUM
cana-3406	135	4	)	)	PUNCT
cana-3406	135	5	311	311	NUM
cana-3406	135	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3406	135	7	feng	feng	PROPN
cana-3406	135	8	et	et	PROPN
cana-3406	135	9	al	al	PROPN
cana-3406	135	10	.	.	PUNCT
cana-3406	136	1	[	[	X
cana-3406	136	2	26	26	NUM
cana-3406	136	3	]	]	PUNCT
cana-3406	136	4	bcc	bcc	PROPN
cana-3406	136	5	ssae	ssae	VERB
cana-3406	136	6	+	+	CCONJ
cana-3406	136	7	softmax	softmax	NOUN
cana-3406	136	8	making	make	VERB
cana-3406	136	9	use	use	NOUN
cana-3406	136	10	of	of	ADP
cana-3406	136	11	strong	strong	ADJ
cana-3406	136	12	breast	breast	NOUN
cana-3406	136	13	cancer	cancer	NOUN
cana-3406	136	14	nuclei	nucleus	NOUN
cana-3406	136	15	characteristics	characteristic	VERB
cana-3406	136	16	not	not	PART
cana-3406	136	17	enough	enough	ADJ
cana-3406	136	18	pictures	picture	NOUN
cana-3406	136	19	cheng	cheng	PROPN
cana-3406	136	20	et	et	PROPN
cana-3406	136	21	al	al	PROPN
cana-3406	136	22	.	.	PUNCT
cana-3406	137	1	[	[	X
cana-3406	137	2	27	27	NUM
cana-3406	137	3	]	]	SYM
cana-3406	137	4	pd	pd	PROPN
cana-3406	137	5	sdae	sdae	NOUN
cana-3406	137	6	sufficient	sufficient	ADJ
cana-3406	137	7	model	model	NOUN
cana-3406	137	8	assessment	assessment	NOUN
cana-3406	137	9	lack	lack	NOUN
cana-3406	137	10	of	of	ADP
cana-3406	137	11	a	a	DET
cana-3406	137	12	model	model	ADJ
cana-3406	137	13	comparison	comparison	NOUN
cana-3406	137	14	de	de	PROPN
cana-3406	137	15	-	-	ADJ
cana-3406	137	16	novo	novo	NOUN
cana-3406	137	17	convnet	convnet	NOUN
cana-3406	137	18	a	a	DET
cana-3406	137	19	convnet	convnet	NOUN
cana-3406	137	20	with	with	ADP
cana-3406	137	21	a	a	DET
cana-3406	137	22	limited	limited	ADJ
cana-3406	137	23	layers	layer	NOUN
cana-3406	137	24	or	or	CCONJ
cana-3406	137	25	several	several	ADJ
cana-3406	137	26	layers	layer	NOUN
cana-3406	137	27	that	that	PRON
cana-3406	137	28	was	be	AUX
cana-3406	137	29	trained	train	VERB
cana-3406	137	30	from	from	ADP
cana-3406	137	31	the	the	DET
cana-3406	137	32	beginning	beginning	NOUN
cana-3406	137	33	was	be	AUX
cana-3406	137	34	used	use	VERB
cana-3406	137	35	in	in	ADP
cana-3406	137	36	a	a	DET
cana-3406	137	37	number	number	NOUN
cana-3406	137	38	of	of	ADP
cana-3406	137	39	research	research	NOUN
cana-3406	137	40	.	.	PUNCT
cana-3406	138	1	we	we	PRON
cana-3406	138	2	call	call	VERB
cana-3406	138	3	these	these	DET
cana-3406	138	4	de	de	ADJ
cana-3406	138	5	-	-	ADJ
cana-3406	138	6	novo	novo	ADJ
cana-3406	138	7	cnn	cnn	PROPN
cana-3406	138	8	.	.	PUNCT
cana-3406	139	1	deep	deep	ADJ
cana-3406	139	2	cnns	cnn	NOUN
cana-3406	139	3	with	with	ADP
cana-3406	139	4	multiple	multiple	ADJ
cana-3406	139	5	layers	layer	NOUN
cana-3406	139	6	and	and	CCONJ
cana-3406	139	7	a	a	DET
cana-3406	139	8	lot	lot	NOUN
cana-3406	139	9	of	of	ADP
cana-3406	139	10	data	datum	NOUN
cana-3406	139	11	can	can	AUX
cana-3406	139	12	produce	produce	VERB
cana-3406	139	13	superior	superior	ADJ
cana-3406	139	14	picture	picture	NOUN
cana-3406	139	15	classification	classification	NOUN
cana-3406	139	16	results	result	NOUN
cana-3406	139	17	.	.	PUNCT
cana-3406	140	1	compared	compare	VERB
cana-3406	140	2	to	to	ADP
cana-3406	140	3	standard	standard	ADJ
cana-3406	140	4	imagenet	imagenet	NOUN
cana-3406	140	5	-	-	PUNCT
cana-3406	140	6	transferred	transfer	VERB
cana-3406	140	7	models	model	NOUN
cana-3406	140	8	(	(	PUNCT
cana-3406	140	9	pre	pre	ADJ
cana-3406	140	10	-	-	ADJ
cana-3406	140	11	trained	train	VERB
cana-3406	140	12	models	model	NOUN
cana-3406	140	13	)	)	PUNCT
cana-3406	140	14	,	,	PUNCT
cana-3406	140	15	the	the	DET
cana-3406	140	16	lightweight	lightweight	ADJ
cana-3406	140	17	cnns	cnn	NOUN
cana-3406	140	18	that	that	PRON
cana-3406	140	19	were	be	AUX
cana-3406	140	20	built	build	VERB
cana-3406	140	21	from	from	ADP
cana-3406	140	22	scratch	scratch	NOUN
cana-3406	140	23	perform	perform	VERB
cana-3406	140	24	better	well	ADV
cana-3406	140	25	.	.	PUNCT
cana-3406	141	1	according	accord	VERB
cana-3406	141	2	to	to	ADP
cana-3406	141	3	research	research	NOUN
cana-3406	141	4	by	by	ADP
cana-3406	141	5	arevalo	arevalo	PROPN
cana-3406	141	6	et	et	PROPN
cana-3406	141	7	al	al	PROPN
cana-3406	141	8	.	.	PUNCT
cana-3406	142	1	[	[	X
cana-3406	142	2	30	30	NUM
cana-3406	142	3	]	]	PUNCT
cana-3406	142	4	,	,	PUNCT
cana-3406	142	5	the	the	DET
cana-3406	142	6	pre	pre	ADJ
cana-3406	142	7	-	-	ADJ
cana-3406	142	8	trained	train	VERB
cana-3406	142	9	model	model	NOUN
cana-3406	142	10	was	be	AUX
cana-3406	142	11	outperformed	outperform	VERB
cana-3406	142	12	by	by	ADP
cana-3406	142	13	the	the	DET
cana-3406	142	14	smaller	small	ADJ
cana-3406	142	15	cnn	cnn	NOUN
cana-3406	142	16	that	that	PRON
cana-3406	142	17	was	be	AUX
cana-3406	142	18	constructed	construct	VERB
cana-3406	142	19	from	from	ADP
cana-3406	142	20	scratch	scratch	NOUN
cana-3406	142	21	.	.	PUNCT
cana-3406	143	1	figure	figure	NOUN
cana-3406	143	2	6	6	NUM
cana-3406	143	3	shows	show	VERB
cana-3406	143	4	a	a	DET
cana-3406	143	5	basic	basic	ADJ
cana-3406	143	6	cnn	cnn	NOUN
cana-3406	143	7	method	method	NOUN
cana-3406	143	8	for	for	ADP
cana-3406	143	9	diagnosing	diagnose	VERB
cana-3406	143	10	brc	brc	NOUN
cana-3406	143	11	.	.	PUNCT
cana-3406	144	1	table	table	NOUN
cana-3406	144	2	2	2	NUM
cana-3406	144	3	.	.	X
cana-3406	144	4	cutting	cut	VERB
cana-3406	144	5	edge	edge	NOUN
cana-3406	144	6	research	research	NOUN
cana-3406	144	7	created	create	VERB
cana-3406	144	8	on	on	ADP
cana-3406	144	9	de	de	ADJ
cana-3406	144	10	-	-	NOUN
cana-3406	144	11	novo	novo	ADJ
cana-3406	144	12	cnn	cnn	PROPN
cana-3406	144	13	.	.	PUNCT
cana-3406	145	1	author	author	PROPN
cana-3406	145	2	dataset	dataset	PROPN
cana-3406	145	3	design	design	NOUN
cana-3406	145	4	study	study	NOUN
cana-3406	145	5	strong	strong	ADJ
cana-3406	145	6	point	point	NOUN
cana-3406	145	7	limitation	limitation	NOUN
cana-3406	145	8	albarqouni	albarqouni	NOUN
cana-3406	145	9	et	et	PROPN
cana-3406	145	10	al	al	PROPN
cana-3406	145	11	.	.	PUNCT
cana-3406	146	1	[	[	X
cana-3406	146	2	28	28	NUM
cana-3406	146	3	]	]	X
cana-3406	146	4	breakhis	breakhis	PROPN
cana-3406	146	5	aggnet	aggnet	NOUN
cana-3406	146	6	evaluated	evaluate	VERB
cana-3406	146	7	using	use	VERB
cana-3406	146	8	a	a	DET
cana-3406	146	9	standard	standard	ADJ
cana-3406	146	10	dataset	dataset	VERB
cana-3406	146	11	untrustworthy	untrustworthy	ADJ
cana-3406	146	12	annotations	annotation	NOUN
cana-3406	146	13	kooi	kooi	VERB
cana-3406	146	14	et	et	NOUN
cana-3406	146	15	al	al	PROPN
cana-3406	146	16	.	.	PUNCT
cana-3406	147	1	[	[	X
cana-3406	147	2	29	29	NUM
cana-3406	147	3	]	]	X
cana-3406	147	4	pd	pd	PROPN
cana-3406	147	5	cnn	cnn	PROPN
cana-3406	147	6	centered	center	VERB
cana-3406	147	7	on	on	ADP
cana-3406	147	8	identifying	identify	VERB
cana-3406	147	9	solid	solid	ADJ
cana-3406	147	10	,	,	PUNCT
cana-3406	147	11	cancerous	cancerous	ADJ
cana-3406	147	12	lesions	lesion	NOUN
cana-3406	147	13	,	,	PUNCT
cana-3406	147	14	such	such	ADJ
cana-3406	147	15	as	as	ADP
cana-3406	147	16	architectural	architectural	ADJ
cana-3406	147	17	abnormalities	abnormality	NOUN
cana-3406	147	18	no	no	DET
cana-3406	147	19	benign	benign	ADJ
cana-3406	147	20	tumours	tumour	NOUN
cana-3406	147	21	were	be	AUX
cana-3406	147	22	seen	see	VERB
cana-3406	147	23	in	in	ADP
cana-3406	147	24	the	the	DET
cana-3406	147	25	training	training	NOUN
cana-3406	147	26	set	set	VERB
cana-3406	147	27	arevalo	arevalo	PROPN
cana-3406	147	28	et	et	PROPN
cana-3406	147	29	al	al	PROPN
cana-3406	147	30	.	.	PUNCT
cana-3406	148	1	[	[	X
cana-3406	148	2	30	30	NUM
cana-3406	148	3	]	]	X
cana-3406	148	4	bicbh	bicbh	NOUN
cana-3406	148	5	cnn(udm	cnn(udm	NOUN
cana-3406	148	6	)	)	PUNCT
cana-3406	148	7	classification	classification	NOUN
cana-3406	148	8	into	into	ADP
cana-3406	148	9	multiple	multiple	ADJ
cana-3406	148	10	classes	class	NOUN
cana-3406	148	11	not	not	PART
cana-3406	148	12	enough	enough	ADJ
cana-3406	148	13	pictures	picture	NOUN
cana-3406	148	14	ting	ting	PROPN
cana-3406	148	15	al	al	PROPN
cana-3406	148	16	.	.	PUNCT
cana-3406	149	1	[	[	X
cana-3406	149	2	31	31	NUM
cana-3406	149	3	]	]	PUNCT
cana-3406	149	4	mias	mias	PROPN
cana-3406	149	5	cnn	cnn	PROPN
cana-3406	149	6	-	-	PUNCT
cana-3406	149	7	bcc	bcc	PROPN
cana-3406	149	8	(	(	PUNCT
cana-3406	149	9	udm	udm	PROPN
cana-3406	149	10	)	)	PUNCT
cana-3406	149	11	feature	feature	NOUN
cana-3406	149	12	-	-	PUNCT
cana-3406	149	13	based	base	VERB
cana-3406	149	14	data	data	NOUN
cana-3406	149	15	enhancement	enhancement	NOUN
cana-3406	149	16	not	not	PART
cana-3406	149	17	enough	enough	ADJ
cana-3406	149	18	pictures	picture	NOUN
cana-3406	149	19	yan	yan	PROPN
cana-3406	149	20	et	et	PROPN
cana-3406	149	21	al	al	PROPN
cana-3406	149	22	.	.	PUNCT
cana-3406	150	1	[	[	X
cana-3406	150	2	32	32	NUM
cana-3406	150	3	]	]	PUNCT
cana-3406	150	4	pd	pd	PROPN
cana-3406	150	5	cnn+rnn	cnn+rnn	PROPN
cana-3406	150	6	published	publish	VERB
cana-3406	150	7	a	a	DET
cana-3406	150	8	more	more	ADV
cana-3406	150	9	extensive	extensive	ADJ
cana-3406	150	10	and	and	CCONJ
cana-3406	150	11	varied	varied	ADJ
cana-3406	150	12	dataset	dataset	VERB
cana-3406	150	13	insufficient	insufficient	ADJ
cana-3406	150	14	pre	pre	ADJ
cana-3406	150	15	-	-	ADJ
cana-3406	150	16	processing	processing	NOUN
cana-3406	150	17	of	of	ADP
cana-3406	150	18	data	datum	NOUN
cana-3406	150	19	wang	wang	PROPN
cana-3406	150	20	et	et	PROPN
cana-3406	150	21	al	al	PROPN
cana-3406	150	22	.	.	PUNCT
cana-3406	151	1	[	[	X
cana-3406	151	2	33	33	NUM
cana-3406	151	3	]	]	X
cana-3406	151	4	breakhis	breakhis	PROPN
cana-3406	151	5	cnn	cnn	PROPN
cana-3406	151	6	(	(	PUNCT
cana-3406	151	7	udm	udm	PROPN
cana-3406	151	8	)	)	PUNCT
cana-3406	151	9	there	there	PRON
cana-3406	151	10	is	be	VERB
cana-3406	151	11	classification	classification	NOUN
cana-3406	151	12	for	for	ADP
cana-3406	151	13	various	various	ADJ
cana-3406	151	14	magnification	magnification	NOUN
cana-3406	151	15	factors	factor	NOUN
cana-3406	151	16	insufficient	insufficient	ADJ
cana-3406	151	17	preprocessing	preprocessing	NOUN
cana-3406	151	18	of	of	ADP
cana-3406	151	19	images	image	NOUN
cana-3406	151	20	previous	previous	ADJ
cana-3406	151	21	studies	study	NOUN
cana-3406	151	22	employed	employ	VERB
cana-3406	151	23	benchmark	benchmark	NOUN
cana-3406	151	24	datasets	dataset	NOUN
cana-3406	151	25	with	with	ADP
cana-3406	151	26	convnets	convnet	NOUN
cana-3406	151	27	for	for	ADP
cana-3406	151	28	image	image	NOUN
cana-3406	151	29	classification	classification	NOUN
cana-3406	151	30	;	;	PUNCT
cana-3406	151	31	however	however	ADV
cana-3406	151	32	,	,	PUNCT
cana-3406	151	33	some	some	DET
cana-3406	151	34	studies	study	NOUN
cana-3406	151	35	used	use	VERB
cana-3406	151	36	their	their	PRON
cana-3406	151	37	own	own	ADJ
cana-3406	151	38	dataset	dataset	NOUN
cana-3406	151	39	,	,	PUNCT
cana-3406	151	40	which	which	PRON
cana-3406	151	41	prevented	prevent	VERB
cana-3406	151	42	other	other	ADJ
cana-3406	151	43	researchers	researcher	NOUN
cana-3406	151	44	from	from	ADP
cana-3406	151	45	conducting	conduct	VERB
cana-3406	151	46	comparisons	comparison	NOUN
cana-3406	151	47	[	[	X
cana-3406	151	48	28	28	NUM
cana-3406	151	49	,	,	PUNCT
cana-3406	151	50	29	29	NUM
cana-3406	151	51	]	]	PUNCT
cana-3406	151	52	.	.	PUNCT
cana-3406	152	1	image	image	NOUN
cana-3406	152	2	segmentation	segmentation	NOUN
cana-3406	152	3	and	and	CCONJ
cana-3406	152	4	feature	feature	NOUN
cana-3406	152	5	extraction	extraction	NOUN
cana-3406	152	6	are	be	AUX
cana-3406	152	7	further	further	ADJ
cana-3406	152	8	applications	application	NOUN
cana-3406	152	9	for	for	ADP
cana-3406	152	10	cnns	cnn	NOUN
cana-3406	152	11	[	[	X
cana-3406	152	12	31–33	31–33	NUM
cana-3406	152	13	]	]	PUNCT
cana-3406	152	14	.	.	PUNCT
cana-3406	153	1	using	use	VERB
cana-3406	153	2	convnet	convnet	NOUN
cana-3406	153	3	’s	’s	PART
cana-3406	153	4	extracted	extract	VERB
cana-3406	153	5	features	feature	NOUN
cana-3406	153	6	to	to	PART
cana-3406	153	7	train	train	VERB
cana-3406	153	8	an	an	DET
cana-3406	153	9	svm	svm	ADJ
cana-3406	153	10	classifier	classifier	NOUN
cana-3406	153	11	,	,	PUNCT
cana-3406	153	12	arevalo	arevalo	PROPN
cana-3406	153	13	et	et	PROPN
cana-3406	153	14	al	al	PROPN
cana-3406	153	15	.	.	PUNCT
cana-3406	154	1	[	[	X
cana-3406	154	2	30	30	NUM
cana-3406	154	3	]	]	PUNCT
cana-3406	154	4	demonstrated	demonstrate	VERB
cana-3406	154	5	how	how	SCONJ
cana-3406	154	6	well	well	ADV
cana-3406	154	7	a	a	DET
cana-3406	154	8	convnet	convnet	NOUN
cana-3406	154	9	can	can	AUX
cana-3406	154	10	extract	extract	VERB
cana-3406	154	11	important	important	ADJ
cana-3406	154	12	features	feature	NOUN
cana-3406	154	13	.	.	PUNCT
cana-3406	155	1	communications	communication	NOUN
cana-3406	155	2	on	on	ADP
cana-3406	155	3	applied	apply	VERB
cana-3406	155	4	nonlinear	nonlinear	ADJ
cana-3406	155	5	analysis	analysis	NOUN
cana-3406	155	6	issn	issn	NOUN
cana-3406	155	7	:	:	PUNCT
cana-3406	155	8	1074	1074	NUM
cana-3406	155	9	-	-	PUNCT
cana-3406	155	10	133x	133x	NUM
cana-3406	155	11	vol	vol	NOUN
cana-3406	155	12	32	32	NUM
cana-3406	155	13	no	no	NOUN
cana-3406	155	14	.	.	PUNCT
cana-3406	156	1	7s	7	NOUN
cana-3406	156	2	(	(	PUNCT
cana-3406	156	3	2025	2025	NUM
cana-3406	156	4	)	)	PUNCT
cana-3406	156	5	312	312	NUM
cana-3406	156	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3406	156	7	transfer	transfer	NOUN
cana-3406	156	8	learning	learning	NOUN
cana-3406	156	9	(	(	PUNCT
cana-3406	156	10	tl)-based	tl)-base	VERB
cana-3406	156	11	convnet	convnet	NOUN
cana-3406	156	12	tl	tl	PROPN
cana-3406	156	13	works	work	VERB
cana-3406	156	14	well	well	ADV
cana-3406	156	15	with	with	ADP
cana-3406	156	16	small	small	ADJ
cana-3406	156	17	datasets	dataset	NOUN
cana-3406	156	18	because	because	SCONJ
cana-3406	156	19	it	it	PRON
cana-3406	156	20	allows	allow	VERB
cana-3406	156	21	pre	pre	ADJ
cana-3406	156	22	-	-	ADJ
cana-3406	156	23	trained	train	VERB
cana-3406	156	24	networks	network	NOUN
cana-3406	156	25	to	to	PART
cana-3406	156	26	be	be	AUX
cana-3406	156	27	adjusted	adjust	VERB
cana-3406	156	28	and	and	CCONJ
cana-3406	156	29	changed	change	VERB
cana-3406	156	30	to	to	PART
cana-3406	156	31	handle	handle	VERB
cana-3406	156	32	problems	problem	NOUN
cana-3406	156	33	from	from	ADP
cana-3406	156	34	a	a	DET
cana-3406	156	35	particular	particular	ADJ
cana-3406	156	36	domain	domain	NOUN
cana-3406	156	37	or	or	CCONJ
cana-3406	156	38	imaging	imaging	NOUN
cana-3406	156	39	modality	modality	NOUN
cana-3406	156	40	.	.	PUNCT
cana-3406	157	1	using	use	VERB
cana-3406	157	2	a	a	DET
cana-3406	157	3	pre	pre	ADJ
cana-3406	157	4	-	-	ADJ
cana-3406	157	5	trained	train	VERB
cana-3406	157	6	version	version	NOUN
cana-3406	157	7	preinitializes	preinitialize	VERB
cana-3406	157	8	the	the	DET
cana-3406	157	9	model	model	NOUN
cana-3406	157	10	weights	weight	NOUN
cana-3406	157	11	rather	rather	ADV
cana-3406	157	12	than	than	ADP
cana-3406	157	13	initializing	initialize	VERB
cana-3406	157	14	them	they	PRON
cana-3406	157	15	randomly	randomly	ADV
cana-3406	157	16	during	during	ADP
cana-3406	157	17	training	training	NOUN
cana-3406	157	18	from	from	ADP
cana-3406	157	19	scratch	scratch	NOUN
cana-3406	157	20	.	.	PUNCT
cana-3406	158	1	but	but	CCONJ
cana-3406	158	2	because	because	SCONJ
cana-3406	158	3	of	of	ADP
cana-3406	158	4	its	its	PRON
cana-3406	158	5	tendency	tendency	NOUN
cana-3406	158	6	to	to	PART
cana-3406	158	7	overfit	overfit	VERB
cana-3406	158	8	,	,	PUNCT
cana-3406	158	9	tl	tl	PROPN
cana-3406	158	10	could	could	AUX
cana-3406	158	11	be	be	AUX
cana-3406	158	12	troublesome	troublesome	ADJ
cana-3406	158	13	.	.	PUNCT
cana-3406	159	1	most	most	ADV
cana-3406	159	2	commonly	commonly	ADV
cana-3406	159	3	used	use	VERB
cana-3406	159	4	are	be	AUX
cana-3406	159	5	alexnet	alexnet	ADJ
cana-3406	159	6	,	,	PUNCT
cana-3406	159	7	vggnet	vggnet	NOUN
cana-3406	159	8	,	,	PUNCT
cana-3406	159	9	googlenet	googlenet	NOUN
cana-3406	159	10	,	,	PUNCT
cana-3406	159	11	and	and	CCONJ
cana-3406	159	12	resnet	resnet	VERB
cana-3406	159	13	as	as	ADP
cana-3406	159	14	tl	tl	PROPN
cana-3406	159	15	-	-	PUNCT
cana-3406	159	16	based	base	VERB
cana-3406	159	17	models	model	NOUN
cana-3406	159	18	.	.	PUNCT
cana-3406	160	1	natural	natural	ADJ
cana-3406	160	2	images	image	NOUN
cana-3406	160	3	are	be	AUX
cana-3406	160	4	used	use	VERB
cana-3406	160	5	to	to	PART
cana-3406	160	6	train	train	VERB
cana-3406	160	7	the	the	DET
cana-3406	160	8	pre	pre	ADJ
cana-3406	160	9	-	-	ADJ
cana-3406	160	10	trained	train	VERB
cana-3406	160	11	models	model	NOUN
cana-3406	160	12	,	,	PUNCT
cana-3406	160	13	which	which	PRON
cana-3406	160	14	frequently	frequently	ADV
cana-3406	160	15	have	have	VERB
cana-3406	160	16	deep	deep	ADJ
cana-3406	160	17	architectures	architecture	NOUN
cana-3406	160	18	to	to	PART
cana-3406	160	19	learn	learn	VERB
cana-3406	160	20	a	a	DET
cana-3406	160	21	lot	lot	NOUN
cana-3406	160	22	of	of	ADP
cana-3406	160	23	class	class	NOUN
cana-3406	160	24	labels	label	NOUN
cana-3406	160	25	.	.	PUNCT
cana-3406	161	1	for	for	ADP
cana-3406	161	2	instance	instance	NOUN
cana-3406	161	3	,	,	PUNCT
cana-3406	161	4	alexnet	alexnet	PROPN
cana-3406	161	5	had	have	VERB
cana-3406	161	6	three	three	NUM
cana-3406	161	7	fully	fully	ADV
cana-3406	161	8	connected	connect	VERB
cana-3406	161	9	layers	layer	NOUN
cana-3406	161	10	and	and	CCONJ
cana-3406	161	11	five	five	NUM
cana-3406	161	12	convolution	convolution	NOUN
cana-3406	161	13	layers	layer	NOUN
cana-3406	161	14	after	after	ADP
cana-3406	161	15	being	be	AUX
cana-3406	161	16	trained	train	VERB
cana-3406	161	17	for	for	ADP
cana-3406	161	18	1000	1000	NUM
cana-3406	161	19	class	class	NOUN
cana-3406	161	20	labels	label	NOUN
cana-3406	161	21	.	.	PUNCT
cana-3406	162	1	for	for	ADP
cana-3406	162	2	the	the	DET
cana-3406	162	3	classification	classification	NOUN
cana-3406	162	4	of	of	ADP
cana-3406	162	5	breast	breast	NOUN
cana-3406	162	6	masses	masse	NOUN
cana-3406	162	7	,	,	PUNCT
cana-3406	162	8	a	a	DET
cana-3406	162	9	multi	multi	NOUN
cana-3406	162	10	-	-	NOUN
cana-3406	162	11	task	task	ADJ
cana-3406	162	12	tl	tl	PROPN
cana-3406	162	13	dcnn	dcnn	PROPN
cana-3406	162	14	was	be	AUX
cana-3406	162	15	proposed	propose	VERB
cana-3406	162	16	by	by	ADP
cana-3406	162	17	samala	samala	PROPN
cana-3406	162	18	et	et	PROPN
cana-3406	162	19	al	al	PROPN
cana-3406	162	20	.	.	PUNCT
cana-3406	163	1	[	[	X
cana-3406	163	2	35	35	NUM
cana-3406	163	3	]	]	PUNCT
cana-3406	163	4	.	.	PUNCT
cana-3406	164	1	this	this	DET
cana-3406	164	2	work	work	NOUN
cana-3406	164	3	shown	show	VERB
cana-3406	164	4	that	that	SCONJ
cana-3406	164	5	when	when	SCONJ
cana-3406	164	6	the	the	DET
cana-3406	164	7	number	number	NOUN
cana-3406	164	8	of	of	ADP
cana-3406	164	9	images	image	NOUN
cana-3406	164	10	is	be	AUX
cana-3406	164	11	restricted	restrict	VERB
cana-3406	164	12	,	,	PUNCT
cana-3406	164	13	multi	multi	ADJ
cana-3406	164	14	-	-	ADJ
cana-3406	164	15	task	task	ADJ
cana-3406	164	16	dcnn	dcnn	PROPN
cana-3406	164	17	may	may	AUX
cana-3406	164	18	still	still	ADV
cana-3406	164	19	be	be	AUX
cana-3406	164	20	useful	useful	ADJ
cana-3406	164	21	.	.	PUNCT
cana-3406	165	1	a	a	DET
cana-3406	165	2	pre	pre	ADJ
cana-3406	165	3	-	-	ADJ
cana-3406	165	4	trained	train	VERB
cana-3406	165	5	convnet	convnet	NOUN
cana-3406	165	6	was	be	AUX
cana-3406	165	7	used	use	VERB
cana-3406	165	8	in	in	ADP
cana-3406	165	9	a	a	DET
cana-3406	165	10	reviewed	review	VERB
cana-3406	165	11	by	by	ADP
cana-3406	165	12	chougrad	chougrad	NOUN
cana-3406	165	13	et	et	PROPN
cana-3406	165	14	al	al	PROPN
cana-3406	165	15	.	.	PUNCT
cana-3406	166	1	[	[	X
cana-3406	166	2	36	36	NUM
cana-3406	166	3	]	]	PUNCT
cana-3406	166	4	to	to	PART
cana-3406	166	5	extract	extract	VERB
cana-3406	166	6	valuable	valuable	ADJ
cana-3406	166	7	characteristics	characteristic	NOUN
cana-3406	166	8	from	from	ADP
cana-3406	166	9	a	a	DET
cana-3406	166	10	small	small	ADJ
cana-3406	166	11	amount	amount	NOUN
cana-3406	166	12	of	of	ADP
cana-3406	166	13	data	datum	NOUN
cana-3406	166	14	(	(	PUNCT
cana-3406	166	15	78	78	NUM
cana-3406	166	16	photos	photo	NOUN
cana-3406	166	17	)	)	PUNCT
cana-3406	166	18	.	.	PUNCT
cana-3406	167	1	[	[	X
cana-3406	167	2	37,38	37,38	X
cana-3406	167	3	]	]	PUNCT
cana-3406	167	4	evaluated	evaluate	VERB
cana-3406	167	5	de	de	NOUN
cana-3406	167	6	-	-	NOUN
cana-3406	167	7	novo	novo	NOUN
cana-3406	167	8	and	and	CCONJ
cana-3406	167	9	tuning	tuning	NOUN
cana-3406	167	10	models	model	NOUN
cana-3406	167	11	on	on	ADP
cana-3406	167	12	four	four	NUM
cana-3406	167	13	medical	medical	ADJ
cana-3406	167	14	imaging	imaging	NOUN
cana-3406	167	15	applications	application	NOUN
cana-3406	167	16	.	.	PUNCT
cana-3406	168	1	in	in	ADP
cana-3406	168	2	addition	addition	NOUN
cana-3406	168	3	to	to	ADP
cana-3406	168	4	being	be	AUX
cana-3406	168	5	more	more	ADV
cana-3406	168	6	resilient	resilient	ADJ
cana-3406	168	7	to	to	ADP
cana-3406	168	8	the	the	DET
cana-3406	168	9	training	training	NOUN
cana-3406	168	10	set	set	NOUN
cana-3406	168	11	scale	scale	NOUN
cana-3406	168	12	,	,	PUNCT
cana-3406	168	13	the	the	DET
cana-3406	168	14	authors	author	NOUN
cana-3406	168	15	demonstrated	demonstrate	VERB
cana-3406	168	16	that	that	SCONJ
cana-3406	168	17	convnets	convnet	NOUN
cana-3406	168	18	that	that	PRON
cana-3406	168	19	were	be	AUX
cana-3406	168	20	tuned	tune	VERB
cana-3406	168	21	(	(	PUNCT
cana-3406	168	22	tl	tl	PROPN
cana-3406	168	23	-	-	PUNCT
cana-3406	168	24	based	base	VERB
cana-3406	168	25	)	)	PUNCT
cana-3406	168	26	outperformed	outperform	VERB
cana-3406	168	27	convnets	convnet	NOUN
cana-3406	168	28	that	that	PRON
cana-3406	168	29	were	be	AUX
cana-3406	168	30	learnt	learn	VERB
cana-3406	168	31	from	from	ADP
cana-3406	168	32	beginning	begin	VERB
cana-3406	168	33	(	(	PUNCT
cana-3406	168	34	de	de	NOUN
cana-3406	168	35	-	-	NOUN
cana-3406	168	36	novo	novo	NOUN
cana-3406	168	37	)	)	PUNCT
cana-3406	168	38	.	.	PUNCT
cana-3406	169	1	table	table	NOUN
cana-3406	169	2	3	3	NUM
cana-3406	169	3	.	.	PUNCT
cana-3406	169	4	cutting	cut	VERB
cana-3406	169	5	-	-	PUNCT
cana-3406	169	6	edge	edge	NOUN
cana-3406	169	7	research	research	NOUN
cana-3406	169	8	using	use	VERB
cana-3406	169	9	a	a	DET
cana-3406	169	10	tl	tl	PROPN
cana-3406	169	11	-	-	PUNCT
cana-3406	169	12	oriented	orient	VERB
cana-3406	169	13	convnet	convnet	NOUN
cana-3406	169	14	.	.	PUNCT
cana-3406	170	1	author	author	NOUN
cana-3406	170	2	dataset	dataset	PROPN
cana-3406	170	3	design	design	NOUN
cana-3406	170	4	study	study	NOUN
cana-3406	170	5	strong	strong	ADJ
cana-3406	170	6	point	point	NOUN
cana-3406	170	7	limitation	limitation	NOUN
cana-3406	170	8	huynh	huynh	PROPN
cana-3406	170	9	et	et	PROPN
cana-3406	170	10	al	al	PROPN
cana-3406	170	11	.	.	PUNCT
cana-3406	171	1	[	[	X
cana-3406	171	2	34	34	NUM
cana-3406	171	3	]	]	X
cana-3406	171	4	pd	pd	PROPN
cana-3406	171	5	alexnet	alexnet	ADJ
cana-3406	171	6	segmenting	segment	VERB
cana-3406	171	7	lesions	lesion	NOUN
cana-3406	171	8	automatically	automatically	ADV
cana-3406	171	9	insufficient	insufficient	ADJ
cana-3406	171	10	assessment	assessment	NOUN
cana-3406	171	11	of	of	ADP
cana-3406	171	12	the	the	DET
cana-3406	171	13	model	model	NOUN
cana-3406	171	14	samala	samala	PROPN
cana-3406	171	15	et	et	PROPN
cana-3406	171	16	al	al	PROPN
cana-3406	171	17	.	.	PUNCT
cana-3406	172	1	[	[	X
cana-3406	172	2	35	35	NUM
cana-3406	172	3	]	]	X
cana-3406	172	4	ddsm	ddsm	PROPN
cana-3406	172	5	cnn	cnn	PROPN
cana-3406	172	6	(	(	PUNCT
cana-3406	172	7	ftm	ftm	NOUN
cana-3406	172	8	-	-	PUNCT
cana-3406	172	9	ml	ml	NOUN
cana-3406	172	10	)	)	PUNCT
cana-3406	172	11	transfer	transfer	NOUN
cana-3406	172	12	learning	learning	NOUN
cana-3406	172	13	across	across	ADP
cana-3406	172	14	many	many	ADJ
cana-3406	172	15	tasks	task	NOUN
cana-3406	172	16	there	there	PRON
cana-3406	172	17	is	be	VERB
cana-3406	172	18	no	no	DET
cana-3406	172	19	model	model	NOUN
cana-3406	172	20	comparison	comparison	NOUN
cana-3406	172	21	chougrad	chougrad	PROPN
cana-3406	172	22	et	et	PROPN
cana-3406	172	23	al	al	PROPN
cana-3406	172	24	.	.	PUNCT
cana-3406	173	1	[	[	X
cana-3406	173	2	36	36	NUM
cana-3406	173	3	]	]	X
cana-3406	173	4	ddsm	ddsm	PROPN
cana-3406	173	5	,	,	PUNCT
cana-3406	173	6	bcdr	bcdr	PROPN
cana-3406	173	7	vgg16	vgg16	PROPN
cana-3406	173	8	,	,	PUNCT
cana-3406	173	9	resnet50	resnet50	NOUN
cana-3406	173	10	,	,	PUNCT
cana-3406	173	11	inception	inception	PROPN
cana-3406	173	12	v3	v3	PROPN
cana-3406	173	13	(	(	PUNCT
cana-3406	173	14	ftm	ftm	NOUN
cana-3406	173	15	-	-	PUNCT
cana-3406	173	16	ml	ml	VERB
cana-3406	173	17	)	)	PUNCT
cana-3406	173	18	merged	merge	VERB
cana-3406	173	19	three	three	NUM
cana-3406	173	20	datasets	dataset	NOUN
cana-3406	173	21	insufficient	insufficient	ADJ
cana-3406	173	22	assessment	assessment	NOUN
cana-3406	173	23	of	of	ADP
cana-3406	173	24	the	the	DET
cana-3406	173	25	model	model	NOUN
cana-3406	173	26	xie	xie	PROPN
cana-3406	173	27	et	et	PROPN
cana-3406	173	28	al	al	PROPN
cana-3406	173	29	.	.	PUNCT
cana-3406	174	1	[	[	X
cana-3406	174	2	37	37	NUM
cana-3406	174	3	]	]	X
cana-3406	174	4	breakhis	breakhis	PROPN
cana-3406	174	5	cnn	cnn	PROPN
cana-3406	174	6	(	(	PUNCT
cana-3406	174	7	ftm	ftm	NOUN
cana-3406	174	8	-	-	PUNCT
cana-3406	174	9	ll	ll	NOUN
cana-3406	174	10	)	)	PUNCT
cana-3406	174	11	resolved	resolve	VERB
cana-3406	174	12	the	the	DET
cana-3406	174	13	imbalance	imbalance	NOUN
cana-3406	174	14	in	in	ADP
cana-3406	174	15	the	the	DET
cana-3406	174	16	sample	sample	NOUN
cana-3406	174	17	distribution	distribution	NOUN
cana-3406	174	18	absence	absence	NOUN
cana-3406	174	19	of	of	ADP
cana-3406	174	20	preprocessing	preprocesse	VERB
cana-3406	174	21	for	for	ADP
cana-3406	174	22	pictures	picture	NOUN
cana-3406	174	23	kumar	kumar	PROPN
cana-3406	174	24	et	et	PROPN
cana-3406	174	25	al	al	PROPN
cana-3406	174	26	.	.	PUNCT
cana-3406	175	1	[	[	X
cana-3406	175	2	38	38	NUM
cana-3406	175	3	]	]	PUNCT
cana-3406	175	4	breakhis	breakhis	PROPN
cana-3406	175	5	vggnet-16	vggnet-16	PROPN
cana-3406	175	6	(	(	PUNCT
cana-3406	175	7	ftm	ftm	NOUN
cana-3406	175	8	-	-	PUNCT
cana-3406	175	9	ml	ml	NOUN
cana-3406	175	10	)	)	PUNCT
cana-3406	175	11	examination	examination	NOUN
cana-3406	175	12	of	of	ADP
cana-3406	175	13	the	the	DET
cana-3406	175	14	impacts	impact	NOUN
cana-3406	175	15	of	of	ADP
cana-3406	175	16	image	image	NOUN
cana-3406	175	17	preprocessing	preprocesse	VERB
cana-3406	175	18	magnification	magnification	NOUN
cana-3406	175	19	affects	affect	VERB
cana-3406	175	20	the	the	DET
cana-3406	175	21	accuracy	accuracy	NOUN
cana-3406	175	22	yu	yu	PROPN
cana-3406	175	23	et	et	PROPN
cana-3406	175	24	al	al	PROPN
cana-3406	175	25	.	.	PUNCT
cana-3406	176	1	[	[	X
cana-3406	176	2	39	39	NUM
cana-3406	176	3	]	]	PUNCT
cana-3406	176	4	pd	pd	X
cana-3406	176	5	cnn	cnn	PROPN
cana-3406	176	6	(	(	PUNCT
cana-3406	176	7	ftm	ftm	NOUN
cana-3406	176	8	-	-	PUNCT
cana-3406	176	9	ml	ml	NOUN
cana-3406	176	10	)	)	PUNCT
cana-3406	176	11	pictures	picture	NOUN
cana-3406	176	12	are	be	AUX
cana-3406	176	13	gathered	gather	VERB
cana-3406	176	14	online	online	ADV
cana-3406	176	15	the	the	DET
cana-3406	176	16	images	image	NOUN
cana-3406	176	17	may	may	AUX
cana-3406	176	18	not	not	PART
cana-3406	176	19	be	be	AUX
cana-3406	176	20	of	of	ADP
cana-3406	176	21	sufficient	sufficient	ADJ
cana-3406	176	22	quality	quality	NOUN
cana-3406	176	23	.	.	PUNCT
cana-3406	177	1	hu	hu	PROPN
cana-3406	177	2	et	et	PROPN
cana-3406	177	3	al	al	PROPN
cana-3406	177	4	.	.	PUNCT
cana-3406	178	1	[	[	X
cana-3406	178	2	40	40	NUM
cana-3406	178	3	]	]	PUNCT
cana-3406	178	4	pd	pd	PROPN
cana-3406	178	5	cnn	cnn	PROPN
cana-3406	178	6	(	(	PUNCT
cana-3406	178	7	ftm	ftm	NOUN
cana-3406	178	8	-	-	PUNCT
cana-3406	178	9	ml	ml	NOUN
cana-3406	178	10	)	)	PUNCT
cana-3406	178	11	large	large	ADJ
cana-3406	178	12	datasets	dataset	NOUN
cana-3406	178	13	,	,	PUNCT
cana-3406	178	14	lengthy	lengthy	ADJ
cana-3406	178	15	training	training	NOUN
cana-3406	178	16	periods	period	NOUN
cana-3406	178	17	,	,	PUNCT
cana-3406	178	18	and	and	CCONJ
cana-3406	178	19	preprocessing	preprocessing	NOUN
cana-3406	178	20	are	be	AUX
cana-3406	178	21	not	not	PART
cana-3406	178	22	necessary	necessary	ADJ
cana-3406	178	23	class	class	NOUN
cana-3406	178	24	inequality	inequality	NOUN
cana-3406	178	25	is	be	AUX
cana-3406	178	26	a	a	DET
cana-3406	178	27	problem	problem	NOUN
cana-3406	178	28	communications	communication	NOUN
cana-3406	178	29	on	on	ADP
cana-3406	178	30	applied	apply	VERB
cana-3406	178	31	nonlinear	nonlinear	ADJ
cana-3406	178	32	analysis	analysis	NOUN
cana-3406	178	33	issn	issn	NOUN
cana-3406	178	34	:	:	PUNCT
cana-3406	178	35	1074	1074	NUM
cana-3406	178	36	-	-	PUNCT
cana-3406	178	37	133x	133x	NUM
cana-3406	178	38	vol	vol	NOUN
cana-3406	178	39	32	32	NUM
cana-3406	178	40	no	no	NOUN
cana-3406	178	41	.	.	PUNCT
cana-3406	179	1	7s	7	NOUN
cana-3406	179	2	(	(	PUNCT
cana-3406	179	3	2025	2025	NUM
cana-3406	179	4	)	)	PUNCT
cana-3406	179	5	313	313	NUM
cana-3406	179	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3406	179	7	extreme	extreme	ADJ
cana-3406	179	8	-	-	PUNCT
cana-3406	179	9	learning	learning	NOUN
cana-3406	179	10	-	-	PUNCT
cana-3406	179	11	machine	machine	NOUN
cana-3406	179	12	(	(	PUNCT
cana-3406	179	13	elm	elm	PROPN
cana-3406	179	14	)	)	PUNCT
cana-3406	179	15	elm	elm	NOUN
cana-3406	179	16	is	be	AUX
cana-3406	179	17	an	an	DET
cana-3406	179	18	ann	ann	PROPN
cana-3406	179	19	variant	variant	NOUN
cana-3406	179	20	that	that	PRON
cana-3406	179	21	has	have	VERB
cana-3406	179	22	a	a	DET
cana-3406	179	23	lot	lot	NOUN
cana-3406	179	24	of	of	ADP
cana-3406	179	25	promise	promise	NOUN
cana-3406	179	26	for	for	ADP
cana-3406	179	27	managing	manage	VERB
cana-3406	179	28	brc	brc	NOUN
cana-3406	179	29	classification	classification	NOUN
cana-3406	179	30	.	.	PUNCT
cana-3406	180	1	classification	classification	NOUN
cana-3406	180	2	,	,	PUNCT
cana-3406	180	3	pattern	pattern	NOUN
cana-3406	180	4	recognition	recognition	NOUN
cana-3406	180	5	,	,	PUNCT
cana-3406	180	6	grouping	grouping	NOUN
cana-3406	180	7	,	,	PUNCT
cana-3406	180	8	and	and	CCONJ
cana-3406	180	9	regression	regression	NOUN
cana-3406	180	10	are	be	AUX
cana-3406	180	11	common	common	ADJ
cana-3406	180	12	applications	application	NOUN
cana-3406	180	13	for	for	ADP
cana-3406	180	14	elm	elm	NOUN
cana-3406	181	1	[	[	X
cana-3406	181	2	42	42	NUM
cana-3406	181	3	]	]	PUNCT
cana-3406	181	4	,	,	PUNCT
cana-3406	181	5	a	a	DET
cana-3406	181	6	feed	feed	NOUN
cana-3406	181	7	-	-	PUNCT
cana-3406	181	8	forward	forward	NOUN
cana-3406	181	9	neural	neural	ADJ
cana-3406	181	10	network	network	NOUN
cana-3406	181	11	having	have	VERB
cana-3406	181	12	one	one	NUM
cana-3406	181	13	or	or	CCONJ
cana-3406	181	14	more	more	ADV
cana-3406	181	15	hidden	hidden	ADJ
cana-3406	181	16	layers	layer	NOUN
cana-3406	181	17	.	.	PUNCT
cana-3406	182	1	the	the	DET
cana-3406	182	2	analytic	analytic	ADJ
cana-3406	182	3	calculation	calculation	NOUN
cana-3406	182	4	of	of	ADP
cana-3406	182	5	the	the	DET
cana-3406	182	6	final	final	ADJ
cana-3406	182	7	weights	weight	NOUN
cana-3406	182	8	and	and	CCONJ
cana-3406	182	9	the	the	DET
cana-3406	182	10	random	random	ADJ
cana-3406	182	11	initialization	initialization	NOUN
cana-3406	182	12	of	of	ADP
cana-3406	182	13	the	the	DET
cana-3406	182	14	input	input	NOUN
cana-3406	182	15	weights	weight	NOUN
cana-3406	182	16	and	and	CCONJ
cana-3406	182	17	biases	bias	NOUN
cana-3406	182	18	form	form	VERB
cana-3406	182	19	the	the	DET
cana-3406	182	20	basis	basis	NOUN
cana-3406	182	21	of	of	ADP
cana-3406	182	22	this	this	DET
cana-3406	182	23	methodology	methodology	NOUN
cana-3406	182	24	.	.	PUNCT
cana-3406	183	1	as	as	ADP
cana-3406	183	2	a	a	DET
cana-3406	183	3	result	result	NOUN
cana-3406	183	4	,	,	PUNCT
cana-3406	183	5	the	the	DET
cana-3406	183	6	elm	elm	NOUN
cana-3406	183	7	is	be	AUX
cana-3406	183	8	not	not	PART
cana-3406	183	9	affected	affect	VERB
cana-3406	183	10	by	by	ADP
cana-3406	183	11	manually	manually	ADV
cana-3406	183	12	setting	set	VERB
cana-3406	183	13	parameters	parameter	NOUN
cana-3406	183	14	.	.	PUNCT
cana-3406	184	1	elm	elm	NOUN
cana-3406	184	2	’s	’s	PART
cana-3406	184	3	advantages	advantage	NOUN
cana-3406	184	4	of	of	ADP
cana-3406	184	5	rapid	rapid	ADJ
cana-3406	184	6	learning	learning	NOUN
cana-3406	184	7	and	and	CCONJ
cana-3406	184	8	low	low	ADJ
cana-3406	184	9	computational	computational	ADJ
cana-3406	184	10	costs	cost	NOUN
cana-3406	184	11	have	have	AUX
cana-3406	184	12	made	make	VERB
cana-3406	184	13	them	they	PRON
cana-3406	184	14	famous	famous	ADJ
cana-3406	184	15	for	for	ADP
cana-3406	184	16	solving	solve	VERB
cana-3406	184	17	a	a	DET
cana-3406	184	18	different	different	ADJ
cana-3406	184	19	range	range	NOUN
cana-3406	184	20	of	of	ADP
cana-3406	184	21	challenging	challenge	VERB
cana-3406	184	22	problems	problem	NOUN
cana-3406	184	23	[	[	X
cana-3406	184	24	4346	4346	NUM
cana-3406	184	25	]	]	PUNCT
cana-3406	184	26	.	.	PUNCT
cana-3406	185	1	elms	elm	NOUN
cana-3406	185	2	can	can	AUX
cana-3406	185	3	be	be	AUX
cana-3406	185	4	useful	useful	ADJ
cana-3406	185	5	in	in	ADP
cana-3406	185	6	situations	situation	NOUN
cana-3406	185	7	requiring	require	VERB
cana-3406	185	8	real	real	ADJ
cana-3406	185	9	-	-	PUNCT
cana-3406	185	10	time	time	NOUN
cana-3406	185	11	network	network	NOUN
cana-3406	185	12	retraining	retraining	NOUN
cana-3406	185	13	,	,	PUNCT
cana-3406	185	14	despite	despite	SCONJ
cana-3406	185	15	their	their	PRON
cana-3406	185	16	lower	low	ADJ
cana-3406	185	17	accuracy	accuracy	NOUN
cana-3406	185	18	compared	compare	VERB
cana-3406	185	19	to	to	ADP
cana-3406	185	20	normal	normal	ADJ
cana-3406	185	21	neural	neural	ADJ
cana-3406	185	22	networks	network	NOUN
cana-3406	185	23	.	.	PUNCT
cana-3406	186	1	additionally	additionally	ADV
cana-3406	186	2	,	,	PUNCT
cana-3406	186	3	the	the	DET
cana-3406	186	4	elm	elm	NOUN
cana-3406	186	5	training	training	NOUN
cana-3406	186	6	process	process	NOUN
cana-3406	186	7	takes	take	VERB
cana-3406	186	8	a	a	DET
cana-3406	186	9	long	long	ADJ
cana-3406	186	10	period	period	NOUN
cana-3406	186	11	.	.	PUNCT
cana-3406	187	1	figure	figure	NOUN
cana-3406	187	2	6	6	NUM
cana-3406	187	3	displays	display	NOUN
cana-3406	187	4	the	the	DET
cana-3406	187	5	elm	elm	NOUN
cana-3406	187	6	's	's	PART
cana-3406	187	7	architecture	architecture	NOUN
cana-3406	187	8	.	.	PUNCT
cana-3406	188	1	figure	figure	NOUN
cana-3406	188	2	6	6	NUM
cana-3406	188	3	.	.	PUNCT
cana-3406	189	1	a	a	DET
cana-3406	189	2	simple	simple	ADJ
cana-3406	189	3	machine	machine	NOUN
cana-3406	189	4	architecture	architecture	NOUN
cana-3406	189	5	for	for	ADP
cana-3406	189	6	extreme	extreme	ADJ
cana-3406	189	7	learning	learning	NOUN
cana-3406	189	8	.	.	PUNCT
cana-3406	190	1	table	table	NOUN
cana-3406	190	2	4	4	NUM
cana-3406	190	3	.	.	PUNCT
cana-3406	190	4	cutting	cut	VERB
cana-3406	190	5	-	-	PUNCT
cana-3406	190	6	edge	edge	NOUN
cana-3406	190	7	research	research	NOUN
cana-3406	190	8	using	use	VERB
cana-3406	190	9	the	the	DET
cana-3406	190	10	elm	elm	NOUN
cana-3406	190	11	design	design	NOUN
cana-3406	190	12	.	.	PUNCT
cana-3406	191	1	author	author	NOUN
cana-3406	191	2	dataset	dataset	PROPN
cana-3406	191	3	design	design	NOUN
cana-3406	191	4	study	study	NOUN
cana-3406	191	5	strong	strong	ADJ
cana-3406	191	6	point	point	NOUN
cana-3406	191	7	limitation	limitation	NOUN
cana-3406	191	8	lahoura	lahoura	NOUN
cana-3406	191	9	et	et	PROPN
cana-3406	191	10	al	al	PROPN
cana-3406	191	11	.	.	PUNCT
cana-3406	192	1	[	[	X
cana-3406	192	2	42	42	NUM
cana-3406	192	3	]	]	PUNCT
cana-3406	192	4	wbcd	wbcd	ADP
cana-3406	192	5	elm	elm	NOUN
cana-3406	192	6	taking	take	VERB
cana-3406	192	7	feature	feature	NOUN
cana-3406	192	8	engineering	engineering	NOUN
cana-3406	192	9	into	into	ADP
cana-3406	192	10	consideration	consideration	NOUN
cana-3406	192	11	lack	lack	NOUN
cana-3406	192	12	of	of	ADP
cana-3406	192	13	an	an	DET
cana-3406	192	14	image	image	NOUN
cana-3406	192	15	preprocessing	preprocessing	NOUN
cana-3406	192	16	method	method	NOUN
cana-3406	192	17	wang	wang	PROPN
cana-3406	192	18	et	et	PROPN
cana-3406	192	19	al	al	PROPN
cana-3406	192	20	.	.	PUNCT
cana-3406	193	1	[	[	X
cana-3406	193	2	43	43	NUM
cana-3406	193	3	]	]	X
cana-3406	193	4	pd(mammograms	pd(mammograms	PROPN
cana-3406	193	5	)	)	PUNCT
cana-3406	193	6	elm	elm	NOUN
cana-3406	193	7	fusing	fusing	NOUN
cana-3406	193	8	features	feature	NOUN
cana-3406	193	9	too	too	ADV
cana-3406	193	10	small	small	ADJ
cana-3406	193	11	data	datum	NOUN
cana-3406	193	12	nemissi	nemissi	PROPN
cana-3406	193	13	et	et	PROPN
cana-3406	193	14	al	al	PROPN
cana-3406	193	15	.	.	PUNCT
cana-3406	194	1	[	[	X
cana-3406	194	2	44	44	NUM
cana-3406	194	3	]	]	PUNCT
cana-3406	194	4	wbcd	wbcd	ADP
cana-3406	194	5	elm	elm	NOUN
cana-3406	194	6	better	well	ADJ
cana-3406	194	7	success	success	NOUN
cana-3406	194	8	in	in	ADP
cana-3406	194	9	generalization	generalization	NOUN
cana-3406	194	10	poor	poor	ADJ
cana-3406	194	11	assessment	assessment	NOUN
cana-3406	194	12	wang	wang	PROPN
cana-3406	194	13	et	et	PROPN
cana-3406	194	14	al	al	PROPN
cana-3406	194	15	.	.	PUNCT
cana-3406	195	1	[	[	X
cana-3406	195	2	45	45	NUM
cana-3406	195	3	]	]	SYM
cana-3406	195	4	breakhis	breakhis	ADJ
cana-3406	195	5	,	,	PUNCT
cana-3406	195	6	imagenet	imagenet	NOUN
cana-3406	195	7	elm(icelm	elm(icelm	PROPN
cana-3406	195	8	)	)	PUNCT
cana-3406	195	9	a	a	DET
cana-3406	195	10	new	new	ADJ
cana-3406	195	11	approach	approach	NOUN
cana-3406	195	12	an	an	DET
cana-3406	195	13	end	end	NOUN
cana-3406	195	14	-	-	PUNCT
cana-3406	195	15	to	to	ADP
cana-3406	195	16	-	-	PUNCT
cana-3406	195	17	end	end	NOUN
cana-3406	195	18	design	design	NOUN
cana-3406	195	19	is	be	AUX
cana-3406	195	20	not	not	PART
cana-3406	195	21	used	use	VERB
cana-3406	195	22	muduli	muduli	PROPN
cana-3406	195	23	et	et	PROPN
cana-3406	195	24	al	al	PROPN
cana-3406	195	25	.	.	PUNCT
cana-3406	196	1	[	[	X
cana-3406	196	2	46	46	NUM
cana-3406	196	3	]	]	PUNCT
cana-3406	196	4	wbcd	wbcd	ADP
cana-3406	196	5	elm	elm	NOUN
cana-3406	196	6	in	in	ADP
cana-3406	196	7	terms	term	NOUN
cana-3406	196	8	of	of	ADP
cana-3406	196	9	speed	speed	NOUN
cana-3406	196	10	and	and	CCONJ
cana-3406	196	11	performance	performance	NOUN
cana-3406	196	12	,	,	PUNCT
cana-3406	196	13	elm	elm	NOUN
cana-3406	196	14	outperforms	outperform	VERB
cana-3406	196	15	alternative	alternative	ADJ
cana-3406	196	16	techniques	technique	NOUN
cana-3406	196	17	unbalanced	unbalanced	ADJ
cana-3406	196	18	classes	class	NOUN
cana-3406	196	19	latest	late	ADJ
cana-3406	196	20	and	and	CCONJ
cana-3406	196	21	novel	novel	ADJ
cana-3406	196	22	techniques	technique	NOUN
cana-3406	196	23	summarization	summarization	NOUN
cana-3406	196	24	communications	communication	NOUN
cana-3406	196	25	on	on	ADP
cana-3406	196	26	applied	apply	VERB
cana-3406	196	27	nonlinear	nonlinear	ADJ
cana-3406	196	28	analysis	analysis	NOUN
cana-3406	196	29	issn	issn	NOUN
cana-3406	196	30	:	:	PUNCT
cana-3406	196	31	1074	1074	NUM
cana-3406	196	32	-	-	PUNCT
cana-3406	196	33	133x	133x	NUM
cana-3406	196	34	vol	vol	NOUN
cana-3406	196	35	32	32	NUM
cana-3406	196	36	no	no	NOUN
cana-3406	196	37	.	.	PUNCT
cana-3406	197	1	7s	7	NOUN
cana-3406	197	2	(	(	PUNCT
cana-3406	197	3	2025	2025	NUM
cana-3406	197	4	)	)	PUNCT
cana-3406	197	5	314	314	NUM
cana-3406	197	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3406	197	7	table	table	NOUN
cana-3406	197	8	5	5	NUM
cana-3406	197	9	:	:	PUNCT
cana-3406	197	10	recently	recently	ADV
cana-3406	197	11	proposed	propose	VERB
cana-3406	197	12	techniques	technique	NOUN
cana-3406	197	13	are	be	AUX
cana-3406	197	14	summarization	summarization	NOUN
cana-3406	197	15	author	author	NOUN
cana-3406	197	16	methodology	methodology	NOUN
cana-3406	197	17	challenges	challenge	VERB
cana-3406	197	18	challenges	challenge	NOUN
cana-3406	197	19	and	and	CCONJ
cana-3406	197	20	limitations	limitation	NOUN
cana-3406	197	21	ghuge	ghuge	VERB
cana-3406	197	22	and	and	CCONJ
cana-3406	197	23	saravanan	saravanan	PROPN
cana-3406	197	24	(	(	PUNCT
cana-3406	197	25	2024	2024	NUM
cana-3406	197	26	)	)	PUNCT
cana-3406	197	27	swin	swin	PROPN
cana-3406	197	28	resunet3	resunet3	PROPN
cana-3406	198	1	+	+	CCONJ
cana-3406	198	2	it	it	PRON
cana-3406	198	3	effectively	effectively	ADV
cana-3406	198	4	segments	segment	VERB
cana-3406	198	5	the	the	DET
cana-3406	198	6	abnormal	abnormal	ADJ
cana-3406	198	7	regions	region	NOUN
cana-3406	198	8	.	.	PUNCT
cana-3406	199	1	it	it	PRON
cana-3406	199	2	performs	perform	VERB
cana-3406	199	3	better	well	ADV
cana-3406	199	4	in	in	ADP
cana-3406	199	5	image	image	NOUN
cana-3406	199	6	restoration	restoration	NOUN
cana-3406	199	7	and	and	CCONJ
cana-3406	199	8	edge	edge	NOUN
cana-3406	199	9	detection	detection	NOUN
cana-3406	199	10	tasks	task	NOUN
cana-3406	199	11	.	.	PUNCT
cana-3406	200	1	training	train	VERB
cana-3406	200	2	the	the	DET
cana-3406	200	3	model	model	NOUN
cana-3406	200	4	consumes	consume	VERB
cana-3406	200	5	more	more	ADJ
cana-3406	200	6	time	time	NOUN
cana-3406	200	7	.	.	PUNCT
cana-3406	201	1	chakravarthy	chakravarthy	ADJ
cana-3406	201	2	et	et	PROPN
cana-3406	201	3	al	al	PROPN
cana-3406	201	4	.	.	PROPN
cana-3406	202	1	(	(	PUNCT
cana-3406	202	2	2023	2023	NUM
cana-3406	202	3	)	)	PUNCT
cana-3406	202	4	elm	elm	NOUN
cana-3406	202	5	it	it	PRON
cana-3406	202	6	learns	learn	VERB
cana-3406	202	7	the	the	DET
cana-3406	202	8	data	datum	NOUN
cana-3406	202	9	very	very	ADV
cana-3406	202	10	faster	fast	ADV
cana-3406	202	11	.	.	PUNCT
cana-3406	203	1	the	the	DET
cana-3406	203	2	generalization	generalization	NOUN
cana-3406	203	3	performance	performance	NOUN
cana-3406	203	4	and	and	CCONJ
cana-3406	203	5	the	the	DET
cana-3406	203	6	robustness	robustness	NOUN
cana-3406	203	7	of	of	ADP
cana-3406	203	8	the	the	DET
cana-3406	203	9	model	model	NOUN
cana-3406	203	10	are	be	AUX
cana-3406	203	11	high	high	ADJ
cana-3406	203	12	.	.	PUNCT
cana-3406	204	1	due	due	ADP
cana-3406	204	2	to	to	ADP
cana-3406	204	3	the	the	DET
cana-3406	204	4	presence	presence	NOUN
cana-3406	204	5	of	of	ADP
cana-3406	204	6	hidden	hide	VERB
cana-3406	204	7	layer	layer	NOUN
cana-3406	204	8	,	,	PUNCT
cana-3406	204	9	the	the	DET
cana-3406	204	10	complexity	complexity	NOUN
cana-3406	204	11	of	of	ADP
cana-3406	204	12	the	the	DET
cana-3406	204	13	model	model	NOUN
cana-3406	204	14	is	be	AUX
cana-3406	204	15	high	high	ADJ
cana-3406	204	16	.	.	PUNCT
cana-3406	205	1	kavitha	kavitha	PROPN
cana-3406	205	2	et	et	PROPN
cana-3406	205	3	al	al	PROPN
cana-3406	205	4	.	.	PROPN
cana-3406	206	1	(	(	PUNCT
cana-3406	206	2	2022	2022	NUM
cana-3406	206	3	)	)	PUNCT
cana-3406	206	4	capsule	capsule	NOUN
cana-3406	206	5	neural	neural	ADJ
cana-3406	206	6	network	network	NOUN
cana-3406	206	7	it	it	PRON
cana-3406	206	8	has	have	VERB
cana-3406	206	9	the	the	DET
cana-3406	206	10	ability	ability	NOUN
cana-3406	206	11	to	to	PART
cana-3406	206	12	remove	remove	VERB
cana-3406	206	13	noise	noise	NOUN
cana-3406	206	14	in	in	ADP
cana-3406	206	15	the	the	DET
cana-3406	206	16	images	image	NOUN
cana-3406	206	17	.	.	PUNCT
cana-3406	207	1	the	the	DET
cana-3406	207	2	infected	infected	ADJ
cana-3406	207	3	breast	breast	NOUN
cana-3406	207	4	region	region	NOUN
cana-3406	207	5	is	be	AUX
cana-3406	207	6	segmented	segment	VERB
cana-3406	207	7	effectively	effectively	ADV
cana-3406	207	8	.	.	PUNCT
cana-3406	208	1	the	the	DET
cana-3406	208	2	complexity	complexity	NOUN
cana-3406	208	3	of	of	ADP
cana-3406	208	4	the	the	DET
cana-3406	208	5	model	model	NOUN
cana-3406	208	6	is	be	AUX
cana-3406	208	7	high	high	ADJ
cana-3406	208	8	.	.	PUNCT
cana-3406	209	1	it	it	PRON
cana-3406	209	2	is	be	AUX
cana-3406	209	3	not	not	PART
cana-3406	209	4	suitable	suitable	ADJ
cana-3406	209	5	for	for	ADP
cana-3406	209	6	large	large	ADJ
cana-3406	209	7	datasets	dataset	NOUN
cana-3406	209	8	.	.	PUNCT
cana-3406	210	1	sarrawe	sarrawe	VERB
cana-3406	210	2	et	et	PROPN
cana-3406	210	3	al	al	PROPN
cana-3406	210	4	.	.	PROPN
cana-3406	211	1	(	(	PUNCT
cana-3406	211	2	2023	2023	NUM
cana-3406	211	3	)	)	PUNCT
cana-3406	211	4	cnn	cnn	PROPN
cana-3406	211	5	the	the	DET
cana-3406	211	6	features	feature	NOUN
cana-3406	211	7	from	from	ADP
cana-3406	211	8	mammogram	mammogram	NOUN
cana-3406	211	9	images	image	NOUN
cana-3406	211	10	are	be	AUX
cana-3406	211	11	retrieved	retrieve	VERB
cana-3406	211	12	automatically	automatically	ADV
cana-3406	211	13	.	.	PUNCT
cana-3406	212	1	overfitting	overfitte	VERB
cana-3406	212	2	is	be	AUX
cana-3406	212	3	eliminated	eliminate	VERB
cana-3406	212	4	by	by	ADP
cana-3406	212	5	employing	employ	VERB
cana-3406	212	6	global	global	ADJ
cana-3406	212	7	pooling	pooling	NOUN
cana-3406	212	8	method	method	NOUN
cana-3406	212	9	.	.	PUNCT
cana-3406	213	1	need	need	NOUN
cana-3406	213	2	of	of	ADP
cana-3406	213	3	labelled	label	VERB
cana-3406	213	4	data	datum	NOUN
cana-3406	213	5	is	be	AUX
cana-3406	213	6	high	high	ADJ
cana-3406	213	7	.	.	PUNCT
cana-3406	214	1	time	time	NOUN
cana-3406	214	2	taken	take	VERB
cana-3406	214	3	for	for	ADP
cana-3406	214	4	training	train	VERB
cana-3406	214	5	the	the	DET
cana-3406	214	6	model	model	NOUN
cana-3406	214	7	is	be	AUX
cana-3406	214	8	high	high	ADJ
cana-3406	214	9	.	.	PUNCT
cana-3406	215	1	kumari	kumari	PROPN
cana-3406	215	2	and	and	CCONJ
cana-3406	215	3	jagadesh	jagadesh	PROPN
cana-3406	215	4	(	(	PUNCT
cana-3406	215	5	2022	2022	NUM
cana-3406	215	6	)	)	PUNCT
cana-3406	215	7	xgboost	xgboost	ADP
cana-3406	215	8	the	the	DET
cana-3406	215	9	intensity	intensity	NOUN
cana-3406	215	10	,	,	PUNCT
cana-3406	215	11	shape	shape	NOUN
cana-3406	215	12	and	and	CCONJ
cana-3406	215	13	texturebased	texturebase	VERB
cana-3406	215	14	features	feature	NOUN
cana-3406	215	15	are	be	AUX
cana-3406	215	16	retrieved	retrieve	VERB
cana-3406	215	17	for	for	ADP
cana-3406	215	18	effective	effective	ADJ
cana-3406	215	19	classification	classification	NOUN
cana-3406	215	20	process	process	NOUN
cana-3406	215	21	overfitting	overfitte	VERB
cana-3406	215	22	issues	issue	NOUN
cana-3406	215	23	occur	occur	VERB
cana-3406	215	24	while	while	SCONJ
cana-3406	215	25	training	train	VERB
cana-3406	215	26	small	small	ADJ
cana-3406	215	27	datasets	dataset	NOUN
cana-3406	215	28	.	.	PUNCT
cana-3406	216	1	tuning	tune	VERB
cana-3406	216	2	hyperparameters	hyperparameter	NOUN
cana-3406	216	3	is	be	AUX
cana-3406	216	4	difficult	difficult	ADJ
cana-3406	216	5	kaur	kaur	NOUN
cana-3406	216	6	et	et	PROPN
cana-3406	216	7	al	al	PROPN
cana-3406	216	8	.	.	PROPN
cana-3406	217	1	(	(	PUNCT
cana-3406	217	2	2019	2019	NUM
cana-3406	217	3	)	)	PUNCT
cana-3406	217	4	multi	multi	ADJ
cana-3406	217	5	-	-	ADJ
cana-3406	217	6	class	class	ADJ
cana-3406	217	7	svm	svm	NOUN
cana-3406	217	8	it	it	PRON
cana-3406	217	9	is	be	AUX
cana-3406	217	10	suitable	suitable	ADJ
cana-3406	217	11	for	for	ADP
cana-3406	217	12	resizing	resizing	NOUN
cana-3406	217	13	and	and	CCONJ
cana-3406	217	14	noise	noise	NOUN
cana-3406	217	15	handling	handling	NOUN
cana-3406	217	16	operations	operation	NOUN
cana-3406	217	17	.	.	PUNCT
cana-3406	218	1	even	even	ADV
cana-3406	218	2	in	in	ADP
cana-3406	218	3	high	high	ADJ
cana-3406	218	4	dimensional	dimensional	ADJ
cana-3406	218	5	spaces	space	NOUN
cana-3406	218	6	,	,	PUNCT
cana-3406	218	7	it	it	PRON
cana-3406	218	8	performs	perform	VERB
cana-3406	218	9	effectively	effectively	ADV
cana-3406	218	10	.	.	PUNCT
cana-3406	219	1	it	it	PRON
cana-3406	219	2	does	do	AUX
cana-3406	219	3	not	not	PART
cana-3406	219	4	rectify	rectify	VERB
cana-3406	219	5	the	the	DET
cana-3406	219	6	overlapping	overlap	VERB
cana-3406	219	7	issues	issue	NOUN
cana-3406	219	8	.	.	PUNCT
cana-3406	220	1	it	it	PRON
cana-3406	220	2	does	do	AUX
cana-3406	220	3	not	not	PART
cana-3406	220	4	provide	provide	VERB
cana-3406	220	5	stable	stable	ADJ
cana-3406	220	6	results	result	NOUN
cana-3406	220	7	if	if	SCONJ
cana-3406	220	8	the	the	DET
cana-3406	220	9	training	training	NOUN
cana-3406	220	10	samples	sample	NOUN
cana-3406	220	11	are	be	AUX
cana-3406	220	12	large	large	ADJ
cana-3406	220	13	.	.	PUNCT
cana-3406	221	1	altameem	altameem	PROPN
cana-3406	221	2	et	et	PROPN
cana-3406	221	3	al	al	PROPN
cana-3406	221	4	.	.	PROPN
cana-3406	222	1	(	(	PUNCT
cana-3406	222	2	2022	2022	NUM
cana-3406	222	3	)	)	PUNCT
cana-3406	222	4	cnn	cnn	PROPN
cana-3406	222	5	and	and	CCONJ
cana-3406	222	6	fuzzy	fuzzy	ADJ
cana-3406	222	7	it	it	PRON
cana-3406	222	8	provides	provide	VERB
cana-3406	222	9	correct	correct	ADJ
cana-3406	222	10	decision	decision	NOUN
cana-3406	222	11	scores	score	NOUN
cana-3406	222	12	from	from	ADP
cana-3406	222	13	the	the	DET
cana-3406	222	14	input	input	NOUN
cana-3406	222	15	images	image	NOUN
cana-3406	222	16	it	it	PRON
cana-3406	222	17	is	be	AUX
cana-3406	222	18	not	not	PART
cana-3406	222	19	useful	useful	ADJ
cana-3406	222	20	for	for	ADP
cana-3406	222	21	localization	localization	NOUN
cana-3406	222	22	of	of	ADP
cana-3406	222	23	brain	brain	NOUN
cana-3406	222	24	tissues	tissue	NOUN
cana-3406	222	25	.	.	PUNCT
cana-3406	223	1	omonigho	omonigho	PROPN
cana-3406	223	2	et	et	PROPN
cana-3406	223	3	al	al	PROPN
cana-3406	223	4	.	.	PROPN
cana-3406	224	1	(	(	PUNCT
cana-3406	224	2	2020	2020	NUM
cana-3406	224	3	)	)	PUNCT
cana-3406	224	4	dcnn	dcnn	NOUN
cana-3406	224	5	it	it	PRON
cana-3406	224	6	helps	help	VERB
cana-3406	224	7	to	to	PART
cana-3406	224	8	learn	learn	VERB
cana-3406	224	9	and	and	CCONJ
cana-3406	224	10	retrieve	retrieve	VERB
cana-3406	224	11	features	feature	NOUN
cana-3406	224	12	automatically	automatically	ADV
cana-3406	224	13	.	.	PUNCT
cana-3406	225	1	it	it	PRON
cana-3406	225	2	attains	attain	VERB
cana-3406	225	3	high	high	ADJ
cana-3406	225	4	classification	classification	NOUN
cana-3406	225	5	accuracy	accuracy	NOUN
cana-3406	225	6	.	.	PUNCT
cana-3406	226	1	it	it	PRON
cana-3406	226	2	needs	need	VERB
cana-3406	226	3	a	a	DET
cana-3406	226	4	greater	great	ADJ
cana-3406	226	5	number	number	NOUN
cana-3406	226	6	of	of	ADP
cana-3406	226	7	parameters	parameter	NOUN
cana-3406	226	8	.	.	PUNCT
cana-3406	227	1	time	time	NOUN
cana-3406	227	2	consumption	consumption	NOUN
cana-3406	227	3	is	be	AUX
cana-3406	227	4	high	high	ADJ
cana-3406	227	5	datasets	dataset	NOUN
cana-3406	227	6	and	and	CCONJ
cana-3406	227	7	utilizations	utilization	NOUN
cana-3406	227	8	in	in	ADP
cana-3406	227	9	recent	recent	ADJ
cana-3406	227	10	trends	trend	NOUN
cana-3406	227	11	communications	communication	NOUN
cana-3406	227	12	on	on	ADP
cana-3406	227	13	applied	apply	VERB
cana-3406	227	14	nonlinear	nonlinear	ADJ
cana-3406	227	15	analysis	analysis	NOUN
cana-3406	227	16	issn	issn	NOUN
cana-3406	227	17	:	:	PUNCT
cana-3406	227	18	1074	1074	NUM
cana-3406	227	19	-	-	PUNCT
cana-3406	227	20	133x	133x	NUM
cana-3406	227	21	vol	vol	NOUN
cana-3406	227	22	32	32	NUM
cana-3406	227	23	no	no	NOUN
cana-3406	227	24	.	.	PUNCT
cana-3406	228	1	7s	7	NOUN
cana-3406	228	2	(	(	PUNCT
cana-3406	228	3	2025	2025	NUM
cana-3406	228	4	)	)	PUNCT
cana-3406	228	5	315	315	NUM
cana-3406	228	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3406	228	7	the	the	DET
cana-3406	228	8	wisconsin	wisconsin	PROPN
cana-3406	228	9	brc	brc	PROPN
cana-3406	228	10	dataset	dataset	NOUN
cana-3406	228	11	is	be	AUX
cana-3406	228	12	established	establish	VERB
cana-3406	228	13	by	by	ADP
cana-3406	228	14	the	the	DET
cana-3406	228	15	university	university	PROPN
cana-3406	228	16	of	of	ADP
cana-3406	228	17	wisconsin	wisconsin	PROPN
cana-3406	228	18	hospitals	hospital	NOUN
cana-3406	228	19	'	'	PART
cana-3406	228	20	wisconsin	wisconsin	PROPN
cana-3406	228	21	brc	brc	PROPN
cana-3406	228	22	database	database	NOUN
cana-3406	228	23	(	(	PUNCT
cana-3406	228	24	wbcd	wbcd	ADV
cana-3406	228	25	)	)	PUNCT
cana-3406	229	1	[	[	X
cana-3406	229	2	42,44,46	42,44,46	X
cana-3406	229	3	]	]	PUNCT
cana-3406	229	4	and	and	CCONJ
cana-3406	229	5	it	it	PRON
cana-3406	229	6	is	be	AUX
cana-3406	229	7	extensively	extensively	ADV
cana-3406	229	8	utilized	utilize	VERB
cana-3406	229	9	clinical	clinical	ADJ
cana-3406	229	10	data	datum	NOUN
cana-3406	229	11	set	set	VERB
cana-3406	229	12	.	.	PUNCT
cana-3406	230	1	there	there	PRON
cana-3406	230	2	are	be	VERB
cana-3406	230	3	699	699	NUM
cana-3406	230	4	cases	case	NOUN
cana-3406	230	5	in	in	ADP
cana-3406	230	6	this	this	DET
cana-3406	230	7	collection	collection	NOUN
cana-3406	230	8	,	,	PUNCT
cana-3406	230	9	and	and	CCONJ
cana-3406	230	10	each	each	DET
cana-3406	230	11	case	case	NOUN
cana-3406	230	12	has	have	VERB
cana-3406	230	13	11	11	NUM
cana-3406	230	14	attributes	attribute	NOUN
cana-3406	230	15	.	.	PUNCT
cana-3406	231	1	the	the	DET
cana-3406	231	2	independent	independent	ADJ
cana-3406	231	3	features	feature	NOUN
cana-3406	231	4	include	include	VERB
cana-3406	231	5	mitoses	mitose	NOUN
cana-3406	231	6	,	,	PUNCT
cana-3406	231	7	naked	naked	ADJ
cana-3406	231	8	nuclei	nucleus	NOUN
cana-3406	231	9	,	,	PUNCT
cana-3406	231	10	bland	bland	ADJ
cana-3406	231	11	chromatin	chromatin	NOUN
cana-3406	231	12	,	,	PUNCT
cana-3406	231	13	normal	normal	ADJ
cana-3406	231	14	nucleoli	nucleolus	NOUN
cana-3406	231	15	,	,	PUNCT
cana-3406	231	16	single	single	ADJ
cana-3406	231	17	epithelial	epithelial	ADJ
cana-3406	231	18	cell	cell	NOUN
cana-3406	231	19	size	size	NOUN
cana-3406	231	20	,	,	PUNCT
cana-3406	231	21	cell	cell	NOUN
cana-3406	231	22	size	size	NOUN
cana-3406	231	23	and	and	CCONJ
cana-3406	231	24	shape	shape	NOUN
cana-3406	231	25	uniformity	uniformity	NOUN
cana-3406	231	26	,	,	PUNCT
cana-3406	231	27	lump	lump	NOUN
cana-3406	231	28	thickness	thickness	NOUN
cana-3406	231	29	,	,	PUNCT
cana-3406	231	30	and	and	CCONJ
cana-3406	231	31	marginal	marginal	ADJ
cana-3406	231	32	adhesion	adhesion	NOUN
cana-3406	231	33	.	.	PUNCT
cana-3406	232	1	for	for	ADP
cana-3406	232	2	training	training	NOUN
cana-3406	232	3	,	,	PUNCT
cana-3406	232	4	dl	dl	PROPN
cana-3406	232	5	algorithms	algorithm	NOUN
cana-3406	232	6	require	require	VERB
cana-3406	232	7	a	a	DET
cana-3406	232	8	large	large	ADJ
cana-3406	232	9	dataset	dataset	NOUN
cana-3406	232	10	.	.	PUNCT
cana-3406	233	1	one	one	NUM
cana-3406	233	2	of	of	ADP
cana-3406	233	3	the	the	DET
cana-3406	233	4	biggest	big	ADJ
cana-3406	233	5	challenges	challenge	NOUN
cana-3406	233	6	in	in	ADP
cana-3406	233	7	using	use	VERB
cana-3406	233	8	dl	dl	PROPN
cana-3406	233	9	algorithms	algorithm	NOUN
cana-3406	233	10	for	for	ADP
cana-3406	233	11	medical	medical	ADJ
cana-3406	233	12	diagnostics	diagnostic	NOUN
cana-3406	233	13	is	be	AUX
cana-3406	233	14	the	the	DET
cana-3406	233	15	absence	absence	NOUN
cana-3406	233	16	of	of	ADP
cana-3406	233	17	data	datum	NOUN
cana-3406	233	18	.	.	PUNCT
cana-3406	234	1	many	many	ADJ
cana-3406	234	2	researchers	researcher	NOUN
cana-3406	234	3	classified	classify	VERB
cana-3406	234	4	brc	brc	PROPN
cana-3406	234	5	using	use	VERB
cana-3406	234	6	data	datum	NOUN
cana-3406	234	7	they	they	PRON
cana-3406	234	8	individually	individually	ADV
cana-3406	234	9	acquired	acquire	VERB
cana-3406	234	10	;	;	PUNCT
cana-3406	234	11	these	these	PRON
cana-3406	234	12	are	be	AUX
cana-3406	234	13	known	know	VERB
cana-3406	234	14	as	as	ADP
cana-3406	234	15	private	private	ADJ
cana-3406	234	16	datasets	dataset	NOUN
cana-3406	234	17	(	(	PUNCT
cana-3406	234	18	pd	pd	X
cana-3406	234	19	)	)	PUNCT
cana-3406	235	1	[	[	X
cana-3406	235	2	43	43	NUM
cana-3406	235	3	]	]	PUNCT
cana-3406	235	4	.	.	PUNCT
cana-3406	236	1	our	our	PRON
cana-3406	236	2	study	study	NOUN
cana-3406	236	3	's	's	PART
cana-3406	236	4	most	most	ADV
cana-3406	236	5	significant	significant	ADJ
cana-3406	236	6	criticism	criticism	NOUN
cana-3406	236	7	is	be	AUX
cana-3406	236	8	that	that	SCONJ
cana-3406	236	9	academics	academic	NOUN
cana-3406	236	10	train	train	VERB
cana-3406	236	11	and	and	CCONJ
cana-3406	236	12	validate	validate	VERB
cana-3406	236	13	the	the	DET
cana-3406	236	14	proposed	propose	VERB
cana-3406	236	15	approaches	approach	NOUN
cana-3406	236	16	using	use	VERB
cana-3406	236	17	such	such	DET
cana-3406	236	18	a	a	DET
cana-3406	236	19	limited	limited	ADJ
cana-3406	236	20	dataset	dataset	NOUN
cana-3406	236	21	.	.	PUNCT
cana-3406	237	1	in	in	ADP
cana-3406	237	2	order	order	NOUN
cana-3406	237	3	to	to	PART
cana-3406	237	4	tackle	tackle	VERB
cana-3406	237	5	this	this	DET
cana-3406	237	6	issue	issue	NOUN
cana-3406	237	7	,	,	PUNCT
cana-3406	237	8	most	most	ADJ
cana-3406	237	9	researchers	researcher	NOUN
cana-3406	237	10	used	use	VERB
cana-3406	237	11	tl	tl	PROPN
cana-3406	237	12	.	.	PUNCT
cana-3406	238	1	nonetheless	nonetheless	ADV
cana-3406	238	2	,	,	PUNCT
cana-3406	238	3	a	a	DET
cana-3406	238	4	number	number	NOUN
cana-3406	238	5	of	of	ADP
cana-3406	238	6	studies	study	NOUN
cana-3406	238	7	made	make	VERB
cana-3406	238	8	use	use	NOUN
cana-3406	238	9	of	of	ADP
cana-3406	238	10	publicly	publicly	ADV
cana-3406	238	11	available	available	ADJ
cana-3406	238	12	databases	database	NOUN
cana-3406	238	13	.	.	PUNCT
cana-3406	239	1	to	to	PART
cana-3406	239	2	ascertain	ascertain	VERB
cana-3406	239	3	the	the	DET
cana-3406	239	4	patient	patient	NOUN
cana-3406	239	5	's	's	PART
cana-3406	239	6	current	current	ADJ
cana-3406	239	7	state	state	NOUN
cana-3406	239	8	,	,	PUNCT
cana-3406	239	9	professionals	professional	NOUN
cana-3406	239	10	carefully	carefully	ADV
cana-3406	239	11	examine	examine	VERB
cana-3406	239	12	histopathological	histopathological	ADJ
cana-3406	239	13	pictures	picture	NOUN
cana-3406	239	14	,	,	PUNCT
cana-3406	239	15	which	which	PRON
cana-3406	239	16	offer	offer	VERB
cana-3406	239	17	important	important	ADJ
cana-3406	239	18	information	information	NOUN
cana-3406	239	19	.	.	PUNCT
cana-3406	240	1	the	the	DET
cana-3406	240	2	breakhis	breakhis	ADJ
cana-3406	240	3	and	and	CCONJ
cana-3406	240	4	tupac16	tupac16	NOUN
cana-3406	240	5	databases	database	NOUN
cana-3406	240	6	provide	provide	VERB
cana-3406	240	7	histopathological	histopathological	ADJ
cana-3406	240	8	pictures	picture	NOUN
cana-3406	240	9	.	.	PUNCT
cana-3406	241	1	cbis	cbis	ADJ
cana-3406	241	2	-	-	PUNCT
cana-3406	241	3	ddsm	ddsm	PROPN
cana-3406	241	4	,	,	PUNCT
cana-3406	241	5	mini	mini	NOUN
cana-3406	241	6	-	-	NOUN
cana-3406	241	7	mias	mias	PROPN
cana-3406	241	8	,	,	PUNCT
cana-3406	241	9	and	and	CCONJ
cana-3406	241	10	mias	mias	PROPN
cana-3406	241	11	are	be	AUX
cana-3406	241	12	common	common	ADJ
cana-3406	241	13	mammography	mammography	NOUN
cana-3406	241	14	datasets	dataset	NOUN
cana-3406	241	15	.	.	PUNCT
cana-3406	242	1	table	table	NOUN
cana-3406	242	2	6	6	NUM
cana-3406	242	3	.	.	PUNCT
cana-3406	243	1	comprehensive	comprehensive	ADJ
cana-3406	243	2	details	detail	NOUN
cana-3406	243	3	of	of	ADP
cana-3406	243	4	datasets	dataset	NOUN
cana-3406	243	5	that	that	PRON
cana-3406	243	6	are	be	AUX
cana-3406	243	7	accessible	accessible	ADJ
cana-3406	243	8	to	to	ADP
cana-3406	243	9	the	the	DET
cana-3406	243	10	public	public	ADJ
cana-3406	243	11	dataset	dataset	NOUN
cana-3406	243	12	category	category	NOUN
cana-3406	243	13	no	no	INTJ
cana-3406	243	14	.	.	PUNCT
cana-3406	243	15	of	of	ADP
cana-3406	243	16	images	image	NOUN
cana-3406	243	17	clasess	clasess	NOUN
cana-3406	243	18	image	image	NOUN
cana-3406	243	19	format	format	NOUN
cana-3406	243	20	ddsm	ddsm	PROPN
cana-3406	243	21	[	[	X
cana-3406	243	22	48	48	NUM
cana-3406	243	23	]	]	PUNCT
cana-3406	243	24	mammograms	mammogram	VERB
cana-3406	243	25	10,480	10,480	NUM
cana-3406	243	26	benign	benign	ADJ
cana-3406	243	27	,	,	PUNCT
cana-3406	243	28	cancer	cancer	NOUN
cana-3406	243	29	,	,	PUNCT
cana-3406	243	30	normal	normal	ADJ
cana-3406	243	31	,	,	PUNCT
cana-3406	243	32	benign	benign	ADJ
cana-3406	243	33	without	without	ADP
cana-3406	243	34	callback	callback	NOUN
cana-3406	243	35	(	(	PUNCT
cana-3406	243	36	bwc	bwc	NOUN
cana-3406	243	37	)	)	PUNCT
cana-3406	243	38	jpeg	jpeg	NOUN
cana-3406	243	39	mias	mias	PROPN
cana-3406	244	1	[	[	X
cana-3406	244	2	49	49	NUM
cana-3406	244	3	]	]	PUNCT
cana-3406	244	4	mammograms	mammogram	VERB
cana-3406	244	5	322	322	NUM
cana-3406	244	6	benign	benign	ADJ
cana-3406	244	7	,	,	PUNCT
cana-3406	244	8	malignant	malignant	ADJ
cana-3406	244	9	,	,	PUNCT
cana-3406	244	10	normal	normal	ADJ
cana-3406	244	11	pgm	pgm	PROPN
cana-3406	244	12	cbis	cbis	PROPN
cana-3406	244	13	-	-	PUNCT
cana-3406	244	14	ddsm	ddsm	PROPN
cana-3406	245	1	[	[	X
cana-3406	245	2	50	50	NUM
cana-3406	245	3	]	]	PUNCT
cana-3406	245	4	mammograms	mammogram	VERB
cana-3406	245	5	1644	1644	NUM
cana-3406	245	6	normal	normal	ADJ
cana-3406	245	7	,	,	PUNCT
cana-3406	245	8	benign	benign	ADJ
cana-3406	245	9	,	,	PUNCT
cana-3406	245	10	and	and	CCONJ
cana-3406	245	11	malignant	malignant	ADJ
cana-3406	245	12	dicom	dicom	NOUN
cana-3406	245	13	breakhis[51	breakhis[51	PROPN
cana-3406	245	14	]	]	PUNCT
cana-3406	245	15	histology	histology	NOUN
cana-3406	245	16	images	image	VERB
cana-3406	245	17	7909	7909	NUM
cana-3406	245	18	benign	benign	ADJ
cana-3406	245	19	and	and	CCONJ
cana-3406	245	20	malignant	malignant	ADJ
cana-3406	245	21	png	png	NOUN
cana-3406	245	22	wbcd	wbcd	NOUN
cana-3406	245	23	or	or	CCONJ
cana-3406	245	24	wbco	wbco	NOUN
cana-3406	246	1	[	[	X
cana-3406	246	2	52	52	NUM
cana-3406	246	3	]	]	PUNCT
cana-3406	246	4	multivariate	multivariate	NOUN
cana-3406	246	5	699	699	NUM
cana-3406	246	6	malignant	malignant	ADJ
cana-3406	246	7	,	,	PUNCT
cana-3406	246	8	benign	benign	ADJ
cana-3406	246	9	..	..	PUNCT
cana-3406	246	10	wdbc	wdbc	VERB
cana-3406	247	1	[	[	X
cana-3406	247	2	53	53	NUM
cana-3406	247	3	]	]	PUNCT
cana-3406	247	4	multivariate	multivariate	NOUN
cana-3406	247	5	569	569	NUM
cana-3406	247	6	benign	benign	ADJ
cana-3406	247	7	,	,	PUNCT
cana-3406	247	8	malignant	malignant	ADJ
cana-3406	247	9	..	..	PUNCT
cana-3406	248	1	problem	problem	NOUN
cana-3406	248	2	identification	identification	NOUN
cana-3406	248	3	study	study	NOUN
cana-3406	248	4	the	the	DET
cana-3406	248	5	current	current	ADJ
cana-3406	248	6	techniques	technique	NOUN
cana-3406	248	7	for	for	ADP
cana-3406	248	8	detecting	detect	VERB
cana-3406	248	9	brc	brc	NOUN
cana-3406	248	10	are	be	AUX
cana-3406	248	11	ineffective	ineffective	ADJ
cana-3406	248	12	when	when	SCONJ
cana-3406	248	13	lumps	lump	NOUN
cana-3406	248	14	and	and	CCONJ
cana-3406	248	15	abnormalities	abnormality	NOUN
cana-3406	248	16	are	be	AUX
cana-3406	248	17	visually	visually	ADV
cana-3406	248	18	examined	examine	VERB
cana-3406	248	19	.	.	PUNCT
cana-3406	249	1	to	to	PART
cana-3406	249	2	identify	identify	VERB
cana-3406	249	3	structural	structural	ADJ
cana-3406	249	4	deformation	deformation	NOUN
cana-3406	249	5	and	and	CCONJ
cana-3406	249	6	bi	bi	ADJ
cana-3406	249	7	-	-	ADJ
cana-3406	249	8	lateral	lateral	ADJ
cana-3406	249	9	asymmetry	asymmetry	NOUN
cana-3406	249	10	,	,	PUNCT
cana-3406	249	11	better	well	ADJ
cana-3406	249	12	imaging	imaging	NOUN
cana-3406	249	13	methods	method	NOUN
cana-3406	249	14	should	should	AUX
cana-3406	249	15	be	be	AUX
cana-3406	249	16	employed	employ	VERB
cana-3406	249	17	.	.	PUNCT
cana-3406	250	1	the	the	DET
cana-3406	250	2	methods	method	NOUN
cana-3406	250	3	used	use	VERB
cana-3406	250	4	to	to	PART
cana-3406	250	5	detect	detect	VERB
cana-3406	250	6	brc	brc	NOUN
cana-3406	250	7	should	should	AUX
cana-3406	250	8	be	be	AUX
cana-3406	250	9	reliable	reliable	ADJ
cana-3406	250	10	in	in	ADP
cana-3406	250	11	order	order	NOUN
cana-3406	250	12	to	to	PART
cana-3406	250	13	identify	identify	VERB
cana-3406	250	14	if	if	SCONJ
cana-3406	250	15	malignant	malignant	ADJ
cana-3406	250	16	tissues	tissue	NOUN
cana-3406	250	17	are	be	AUX
cana-3406	250	18	present	present	ADJ
cana-3406	250	19	or	or	CCONJ
cana-3406	250	20	not	not	PART
cana-3406	250	21	.	.	PUNCT
cana-3406	251	1	table	table	NOUN
cana-3406	251	2	5	5	NUM
cana-3406	251	3	lists	list	NOUN
cana-3406	251	4	some	some	PRON
cana-3406	251	5	of	of	ADP
cana-3406	251	6	the	the	DET
cana-3406	251	7	characteristics	characteristic	NOUN
cana-3406	251	8	and	and	CCONJ
cana-3406	251	9	difficulties	difficulty	NOUN
cana-3406	251	10	of	of	ADP
cana-3406	251	11	the	the	DET
cana-3406	251	12	current	current	ADJ
cana-3406	251	13	brc	brc	NOUN
cana-3406	251	14	detection	detection	NOUN
cana-3406	251	15	technique	technique	NOUN
cana-3406	251	16	.	.	PUNCT
cana-3406	252	1	in	in	ADP
cana-3406	252	2	addition	addition	NOUN
cana-3406	252	3	to	to	ADP
cana-3406	252	4	performing	perform	VERB
cana-3406	252	5	better	well	ADV
cana-3406	252	6	in	in	ADP
cana-3406	252	7	image	image	NOUN
cana-3406	252	8	restoration	restoration	NOUN
cana-3406	252	9	and	and	CCONJ
cana-3406	252	10	edge	edge	NOUN
cana-3406	252	11	detection	detection	NOUN
cana-3406	252	12	tasks	task	NOUN
cana-3406	252	13	,	,	PUNCT
cana-3406	252	14	swin	swin	PROPN
cana-3406	252	15	resunet3	resunet3	PROPN
cana-3406	252	16	+	+	CCONJ
cana-3406	252	17	efficiently	efficiently	ADV
cana-3406	252	18	segments	segment	VERB
cana-3406	252	19	the	the	DET
cana-3406	252	20	aberrant	aberrant	ADJ
cana-3406	252	21	regions	region	NOUN
cana-3406	252	22	.	.	PUNCT
cana-3406	253	1	however	however	ADV
cana-3406	253	2	,	,	PUNCT
cana-3406	253	3	it	it	PRON
cana-3406	253	4	takes	take	VERB
cana-3406	253	5	more	more	ADJ
cana-3406	253	6	time	time	NOUN
cana-3406	253	7	to	to	PART
cana-3406	253	8	train	train	VERB
cana-3406	253	9	the	the	DET
cana-3406	253	10	model	model	NOUN
cana-3406	253	11	.	.	PUNCT
cana-3406	254	1	elm	elm	NOUN
cana-3406	254	2	picks	pick	VERB
cana-3406	254	3	up	up	ADP
cana-3406	254	4	information	information	NOUN
cana-3406	254	5	far	far	ADV
cana-3406	254	6	more	more	ADV
cana-3406	254	7	quickly	quickly	ADV
cana-3406	254	8	.	.	PUNCT
cana-3406	255	1	additionally	additionally	ADV
cana-3406	255	2	,	,	PUNCT
cana-3406	255	3	the	the	DET
cana-3406	255	4	model	model	NOUN
cana-3406	255	5	's	's	PART
cana-3406	255	6	resilience	resilience	NOUN
cana-3406	255	7	and	and	CCONJ
cana-3406	255	8	generalization	generalization	NOUN
cana-3406	255	9	performance	performance	NOUN
cana-3406	255	10	are	be	AUX
cana-3406	255	11	excellent	excellent	ADJ
cana-3406	255	12	.	.	PUNCT
cana-3406	256	1	however	however	ADV
cana-3406	256	2	,	,	PUNCT
cana-3406	256	3	the	the	DET
cana-3406	256	4	model	model	NOUN
cana-3406	256	5	's	's	PART
cana-3406	256	6	complexity	complexity	NOUN
cana-3406	256	7	is	be	AUX
cana-3406	256	8	large	large	ADJ
cana-3406	256	9	because	because	SCONJ
cana-3406	256	10	of	of	ADP
cana-3406	256	11	the	the	DET
cana-3406	256	12	hidden	hide	VERB
cana-3406	256	13	layer	layer	NOUN
cana-3406	256	14	.	.	PUNCT
cana-3406	257	1	the	the	DET
cana-3406	257	2	capsule	capsule	PROPN
cana-3406	257	3	neural	neural	ADJ
cana-3406	257	4	network	network	NOUN
cana-3406	257	5	[	[	X
cana-3406	257	6	53	53	NUM
cana-3406	257	7	]	]	PUNCT
cana-3406	257	8	can	can	AUX
cana-3406	257	9	eliminate	eliminate	VERB
cana-3406	257	10	noise	noise	NOUN
cana-3406	257	11	from	from	ADP
cana-3406	257	12	pictures	picture	NOUN
cana-3406	257	13	.	.	PUNCT
cana-3406	258	1	the	the	DET
cana-3406	258	2	area	area	NOUN
cana-3406	258	3	of	of	ADP
cana-3406	258	4	the	the	DET
cana-3406	258	5	diseased	diseased	ADJ
cana-3406	258	6	breast	breast	NOUN
cana-3406	258	7	is	be	AUX
cana-3406	258	8	successfully	successfully	ADV
cana-3406	258	9	segmented	segment	VERB
cana-3406	258	10	.	.	PUNCT
cana-3406	259	1	the	the	DET
cana-3406	259	2	model	model	NOUN
cana-3406	259	3	is	be	AUX
cana-3406	259	4	not	not	PART
cana-3406	259	5	appropriate	appropriate	ADJ
cana-3406	259	6	for	for	ADP
cana-3406	259	7	huge	huge	ADJ
cana-3406	259	8	datasets	dataset	NOUN
cana-3406	259	9	due	due	ADP
cana-3406	259	10	to	to	ADP
cana-3406	259	11	its	its	PRON
cana-3406	259	12	high	high	ADJ
cana-3406	259	13	level	level	NOUN
cana-3406	259	14	of	of	ADP
cana-3406	259	15	communications	communication	NOUN
cana-3406	259	16	on	on	ADP
cana-3406	259	17	applied	apply	VERB
cana-3406	259	18	nonlinear	nonlinear	ADJ
cana-3406	259	19	analysis	analysis	NOUN
cana-3406	259	20	issn	issn	NOUN
cana-3406	259	21	:	:	PUNCT
cana-3406	259	22	1074	1074	NUM
cana-3406	259	23	-	-	PUNCT
cana-3406	259	24	133x	133x	NUM
cana-3406	259	25	vol	vol	NOUN
cana-3406	259	26	32	32	NUM
cana-3406	259	27	no	no	NOUN
cana-3406	259	28	.	.	PUNCT
cana-3406	260	1	7s	7	NOUN
cana-3406	260	2	(	(	PUNCT
cana-3406	260	3	2025	2025	NUM
cana-3406	260	4	)	)	PUNCT
cana-3406	260	5	316	316	NUM
cana-3406	260	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3406	260	7	complexity	complexity	NOUN
cana-3406	260	8	.	.	PUNCT
cana-3406	261	1	cnn	cnn	PROPN
cana-3406	262	1	[	[	X
cana-3406	262	2	54	54	NUM
cana-3406	262	3	]	]	PUNCT
cana-3406	262	4	mechanically	mechanically	ADV
cana-3406	262	5	extracted	extract	VERB
cana-3406	262	6	features	feature	NOUN
cana-3406	262	7	from	from	ADP
cana-3406	262	8	mammography	mammography	NOUN
cana-3406	262	9	pictures	picture	NOUN
cana-3406	262	10	.	.	PUNCT
cana-3406	263	1	the	the	DET
cana-3406	263	2	global	global	ADJ
cana-3406	263	3	pooling	pooling	NOUN
cana-3406	263	4	method	method	NOUN
cana-3406	263	5	eliminates	eliminate	VERB
cana-3406	263	6	overfitting	overfitte	VERB
cana-3406	263	7	.	.	PUNCT
cana-3406	264	1	on	on	ADP
cana-3406	264	2	the	the	DET
cana-3406	264	3	other	other	ADJ
cana-3406	264	4	hand	hand	NOUN
cana-3406	264	5	,	,	PUNCT
cana-3406	264	6	training	train	VERB
cana-3406	264	7	the	the	DET
cana-3406	264	8	model	model	NOUN
cana-3406	264	9	takes	take	VERB
cana-3406	264	10	a	a	DET
cana-3406	264	11	lot	lot	NOUN
cana-3406	264	12	of	of	ADP
cana-3406	264	13	time	time	NOUN
cana-3406	264	14	and	and	CCONJ
cana-3406	264	15	requires	require	VERB
cana-3406	264	16	a	a	DET
cana-3406	264	17	lot	lot	NOUN
cana-3406	264	18	of	of	ADP
cana-3406	264	19	labeled	label	VERB
cana-3406	264	20	data	datum	NOUN
cana-3406	264	21	.	.	PUNCT
cana-3406	265	1	for	for	ADP
cana-3406	265	2	an	an	DET
cana-3406	265	3	efficient	efficient	ADJ
cana-3406	265	4	classification	classification	NOUN
cana-3406	265	5	method	method	NOUN
cana-3406	265	6	,	,	PUNCT
cana-3406	265	7	xgboost	xgboost	PUNCT
cana-3406	266	1	[	[	X
cana-3406	266	2	55	55	NUM
cana-3406	266	3	]	]	PUNCT
cana-3406	266	4	recovers	recover	VERB
cana-3406	266	5	features	feature	NOUN
cana-3406	266	6	based	base	VERB
cana-3406	266	7	on	on	ADP
cana-3406	266	8	texture	texture	NOUN
cana-3406	266	9	,	,	PUNCT
cana-3406	266	10	shape	shape	NOUN
cana-3406	266	11	,	,	PUNCT
cana-3406	266	12	and	and	CCONJ
cana-3406	266	13	intensity	intensity	NOUN
cana-3406	266	14	.	.	PUNCT
cana-3406	267	1	however	however	ADV
cana-3406	267	2	,	,	PUNCT
cana-3406	267	3	it	it	PRON
cana-3406	267	4	is	be	AUX
cana-3406	267	5	challenging	challenge	VERB
cana-3406	267	6	to	to	PART
cana-3406	267	7	adjust	adjust	VERB
cana-3406	267	8	the	the	DET
cana-3406	267	9	hyperparameters	hyperparameter	NOUN
cana-3406	267	10	and	and	CCONJ
cana-3406	267	11	overfitting	overfitte	VERB
cana-3406	267	12	problems	problem	NOUN
cana-3406	267	13	arise	arise	VERB
cana-3406	267	14	while	while	SCONJ
cana-3406	267	15	training	train	VERB
cana-3406	267	16	tiny	tiny	ADJ
cana-3406	267	17	datasets	dataset	NOUN
cana-3406	267	18	.	.	PUNCT
cana-3406	268	1	multi	multi	ADJ
cana-3406	268	2	-	-	ADJ
cana-3406	268	3	class	class	ADJ
cana-3406	268	4	svm	svm	NOUN
cana-3406	268	5	[	[	X
cana-3406	268	6	56	56	NUM
cana-3406	268	7	]	]	PUNCT
cana-3406	268	8	is	be	AUX
cana-3406	268	9	appropriate	appropriate	ADJ
cana-3406	268	10	for	for	ADP
cana-3406	268	11	noise	noise	NOUN
cana-3406	268	12	handling	handling	NOUN
cana-3406	268	13	and	and	CCONJ
cana-3406	268	14	resizing	resizing	NOUN
cana-3406	268	15	tasks	task	NOUN
cana-3406	268	16	.	.	PUNCT
cana-3406	269	1	it	it	PRON
cana-3406	269	2	works	work	VERB
cana-3406	269	3	well	well	ADV
cana-3406	269	4	even	even	ADV
cana-3406	269	5	in	in	ADP
cana-3406	269	6	high	high	ADJ
cana-3406	269	7	dimensional	dimensional	ADJ
cana-3406	269	8	spaces	space	NOUN
cana-3406	269	9	.	.	PUNCT
cana-3406	270	1	however	however	ADV
cana-3406	270	2	,	,	PUNCT
cana-3406	270	3	if	if	SCONJ
cana-3406	270	4	the	the	DET
cana-3406	270	5	training	training	NOUN
cana-3406	270	6	samples	sample	NOUN
cana-3406	270	7	are	be	AUX
cana-3406	270	8	extensive	extensive	ADJ
cana-3406	270	9	,	,	PUNCT
cana-3406	270	10	it	it	PRON
cana-3406	270	11	does	do	AUX
cana-3406	270	12	not	not	PART
cana-3406	270	13	produce	produce	VERB
cana-3406	270	14	steady	steady	ADJ
cana-3406	270	15	findings	finding	NOUN
cana-3406	270	16	and	and	CCONJ
cana-3406	270	17	does	do	AUX
cana-3406	270	18	not	not	PART
cana-3406	270	19	address	address	VERB
cana-3406	270	20	the	the	DET
cana-3406	270	21	overlapping	overlap	VERB
cana-3406	270	22	difficulties	difficulty	NOUN
cana-3406	270	23	.	.	PUNCT
cana-3406	271	1	based	base	VERB
cana-3406	271	2	on	on	ADP
cana-3406	271	3	the	the	DET
cana-3406	271	4	input	input	NOUN
cana-3406	271	5	photos	photo	NOUN
cana-3406	271	6	,	,	PUNCT
cana-3406	271	7	cnn	cnn	PROPN
cana-3406	271	8	and	and	CCONJ
cana-3406	271	9	fuzzy	fuzzy	ADJ
cana-3406	271	10	[	[	X
cana-3406	271	11	58	58	NUM
cana-3406	271	12	]	]	PUNCT
cana-3406	271	13	produce	produce	VERB
cana-3406	271	14	accurate	accurate	ADJ
cana-3406	271	15	decision	decision	NOUN
cana-3406	271	16	scores	score	NOUN
cana-3406	271	17	.	.	PUNCT
cana-3406	272	1	however	however	ADV
cana-3406	272	2	,	,	PUNCT
cana-3406	272	3	it	it	PRON
cana-3406	272	4	is	be	AUX
cana-3406	272	5	useless	useless	ADJ
cana-3406	272	6	for	for	ADP
cana-3406	272	7	locating	locate	VERB
cana-3406	272	8	brain	brain	NOUN
cana-3406	272	9	tissues	tissue	NOUN
cana-3406	272	10	.	.	PUNCT
cana-3406	273	1	dcnn	dcnn	PROPN
cana-3406	274	1	[	[	X
cana-3406	274	2	59	59	NUM
cana-3406	274	3	]	]	PUNCT
cana-3406	274	4	achieves	achieve	VERB
cana-3406	274	5	high	high	ADJ
cana-3406	274	6	classification	classification	NOUN
cana-3406	274	7	accuracy	accuracy	NOUN
cana-3406	274	8	and	and	CCONJ
cana-3406	274	9	aids	aid	NOUN
cana-3406	274	10	in	in	ADP
cana-3406	274	11	automatically	automatically	ADV
cana-3406	274	12	learning	learn	VERB
cana-3406	274	13	and	and	CCONJ
cana-3406	274	14	retrieving	retrieve	VERB
cana-3406	274	15	information	information	NOUN
cana-3406	274	16	.	.	PUNCT
cana-3406	275	1	however	however	ADV
cana-3406	275	2	,	,	PUNCT
cana-3406	275	3	it	it	PRON
cana-3406	275	4	requires	require	VERB
cana-3406	275	5	more	more	ADJ
cana-3406	275	6	settings	setting	NOUN
cana-3406	275	7	and	and	CCONJ
cana-3406	275	8	takes	take	VERB
cana-3406	275	9	a	a	DET
cana-3406	275	10	lot	lot	NOUN
cana-3406	275	11	of	of	ADP
cana-3406	275	12	time	time	NOUN
cana-3406	275	13	.	.	PUNCT
cana-3406	276	1	therefore	therefore	ADV
cana-3406	276	2	,	,	PUNCT
cana-3406	276	3	a	a	DET
cana-3406	276	4	sophisticated	sophisticated	ADJ
cana-3406	276	5	method	method	NOUN
cana-3406	276	6	for	for	ADP
cana-3406	276	7	segmenting	segment	VERB
cana-3406	276	8	and	and	CCONJ
cana-3406	276	9	classifying	classify	VERB
cana-3406	276	10	brc	brc	NOUN
cana-3406	276	11	is	be	AUX
cana-3406	276	12	suggested	suggest	VERB
cana-3406	276	13	.	.	PUNCT
cana-3406	277	1	technical	technical	ADJ
cana-3406	277	2	discussion	discussion	NOUN
cana-3406	277	3	the	the	DET
cana-3406	277	4	aforementioned	aforementioned	ADJ
cana-3406	277	5	research	research	NOUN
cana-3406	277	6	compares	compare	VERB
cana-3406	277	7	recent	recent	ADJ
cana-3406	277	8	advancements	advancement	NOUN
cana-3406	277	9	in	in	ADP
cana-3406	277	10	segmentation	segmentation	NOUN
cana-3406	277	11	,	,	PUNCT
cana-3406	277	12	feature	feature	NOUN
cana-3406	277	13	extraction	extraction	NOUN
cana-3406	277	14	,	,	PUNCT
cana-3406	277	15	and	and	CCONJ
cana-3406	277	16	classification	classification	NOUN
cana-3406	277	17	techniques	technique	NOUN
cana-3406	277	18	based	base	VERB
cana-3406	277	19	on	on	ADP
cana-3406	277	20	ml	ml	NOUN
cana-3406	277	21	and	and	CCONJ
cana-3406	277	22	dl	dl	X
cana-3406	277	23	to	to	PART
cana-3406	277	24	detect	detect	VERB
cana-3406	277	25	brc	brc	NOUN
cana-3406	277	26	from	from	ADP
cana-3406	277	27	mammograms	mammogram	NOUN
cana-3406	277	28	.	.	PUNCT
cana-3406	278	1	table	table	NOUN
cana-3406	278	2	5	5	NUM
cana-3406	278	3	summarizes	summarize	NOUN
cana-3406	278	4	a	a	DET
cana-3406	278	5	few	few	ADJ
cana-3406	278	6	newly	newly	ADV
cana-3406	278	7	suggested	suggest	VERB
cana-3406	278	8	methods	method	NOUN
cana-3406	278	9	.	.	PUNCT
cana-3406	279	1	fair	fair	ADJ
cana-3406	279	2	performance	performance	NOUN
cana-3406	279	3	analysis	analysis	NOUN
cana-3406	279	4	is	be	AUX
cana-3406	279	5	a	a	DET
cana-3406	279	6	highly	highly	ADV
cana-3406	279	7	difficult	difficult	ADJ
cana-3406	279	8	undertaking	undertaking	NOUN
cana-3406	279	9	because	because	SCONJ
cana-3406	279	10	multiple	multiple	ADJ
cana-3406	279	11	researchers	researcher	NOUN
cana-3406	279	12	utilize	utilize	VERB
cana-3406	279	13	different	different	ADJ
cana-3406	279	14	datasets	dataset	NOUN
cana-3406	279	15	and	and	CCONJ
cana-3406	279	16	validation	validation	NOUN
cana-3406	279	17	standards	standard	NOUN
cana-3406	279	18	.	.	PUNCT
cana-3406	280	1	the	the	DET
cana-3406	280	2	database	database	ADJ
cana-3406	280	3	-	-	ADJ
cana-3406	280	4	wise	wise	ADJ
cana-3406	280	5	quantitative	quantitative	ADJ
cana-3406	280	6	performance	performance	NOUN
cana-3406	280	7	analysis	analysis	NOUN
cana-3406	280	8	of	of	ADP
cana-3406	280	9	a	a	DET
cana-3406	280	10	few	few	ADJ
cana-3406	280	11	widely	widely	ADV
cana-3406	280	12	used	use	VERB
cana-3406	280	13	mammography	mammography	NOUN
cana-3406	280	14	-	-	PUNCT
cana-3406	280	15	based	base	VERB
cana-3406	280	16	brc	brc	NOUN
cana-3406	280	17	screening	screening	NOUN
cana-3406	280	18	methods	method	NOUN
cana-3406	280	19	is	be	AUX
cana-3406	280	20	another	another	DET
cana-3406	280	21	main	main	ADJ
cana-3406	280	22	emphasis	emphasis	NOUN
cana-3406	280	23	of	of	ADP
cana-3406	280	24	this	this	DET
cana-3406	280	25	part	part	NOUN
cana-3406	280	26	.	.	PUNCT
cana-3406	281	1	key	key	ADJ
cana-3406	281	2	challenges	challenge	NOUN
cana-3406	281	3	and	and	CCONJ
cana-3406	281	4	issues	issue	NOUN
cana-3406	281	5	even	even	ADV
cana-3406	281	6	if	if	SCONJ
cana-3406	281	7	ml	ml	NOUN
cana-3406	281	8	and	and	CCONJ
cana-3406	281	9	dl	dl	PROPN
cana-3406	281	10	approaches	approach	NOUN
cana-3406	281	11	yield	yield	VERB
cana-3406	281	12	positive	positive	ADJ
cana-3406	281	13	outcomes	outcome	NOUN
cana-3406	281	14	,	,	PUNCT
cana-3406	281	15	there	there	PRON
cana-3406	281	16	are	be	VERB
cana-3406	281	17	still	still	ADV
cana-3406	281	18	some	some	DET
cana-3406	281	19	problems	problem	NOUN
cana-3406	281	20	and	and	CCONJ
cana-3406	281	21	obstacles	obstacle	NOUN
cana-3406	281	22	that	that	PRON
cana-3406	281	23	must	must	AUX
cana-3406	281	24	be	be	AUX
cana-3406	281	25	resolved	resolve	VERB
cana-3406	281	26	.	.	PUNCT
cana-3406	282	1	here	here	ADV
cana-3406	282	2	,	,	PUNCT
cana-3406	282	3	we	we	PRON
cana-3406	282	4	've	have	AUX
cana-3406	282	5	highlighted	highlight	VERB
cana-3406	282	6	some	some	PRON
cana-3406	282	7	of	of	ADP
cana-3406	282	8	the	the	DET
cana-3406	282	9	main	main	ADJ
cana-3406	282	10	issues	issue	NOUN
cana-3406	282	11	raised	raise	VERB
cana-3406	282	12	in	in	ADP
cana-3406	282	13	this	this	DET
cana-3406	282	14	section	section	NOUN
cana-3406	282	15	.	.	PUNCT
cana-3406	283	1	➢	➢	VERB
cana-3406	283	2	there	there	PRON
cana-3406	283	3	are	be	VERB
cana-3406	283	4	n't	not	PART
cana-3406	283	5	many	many	ADJ
cana-3406	283	6	standard	standard	ADJ
cana-3406	283	7	mammography	mammography	NOUN
cana-3406	283	8	databases	database	NOUN
cana-3406	283	9	that	that	PRON
cana-3406	283	10	are	be	AUX
cana-3406	283	11	openly	openly	ADV
cana-3406	283	12	accessible	accessible	ADJ
cana-3406	283	13	.	.	PUNCT
cana-3406	284	1	as	as	ADP
cana-3406	284	2	a	a	DET
cana-3406	284	3	result	result	NOUN
cana-3406	284	4	,	,	PUNCT
cana-3406	284	5	established	establish	VERB
cana-3406	284	6	methods	method	NOUN
cana-3406	284	7	are	be	AUX
cana-3406	284	8	struggling	struggle	VERB
cana-3406	284	9	to	to	PART
cana-3406	284	10	produce	produce	VERB
cana-3406	284	11	high	high	ADJ
cana-3406	284	12	-	-	PUNCT
cana-3406	284	13	quality	quality	NOUN
cana-3406	284	14	results	result	NOUN
cana-3406	284	15	.	.	PUNCT
cana-3406	285	1	combining	combine	VERB
cana-3406	285	2	different	different	ADJ
cana-3406	285	3	methods	method	NOUN
cana-3406	285	4	,	,	PUNCT
cana-3406	285	5	such	such	ADJ
cana-3406	285	6	as	as	ADP
cana-3406	285	7	data	data	NOUN
cana-3406	285	8	augmentation	augmentation	NOUN
cana-3406	285	9	,	,	PUNCT
cana-3406	285	10	tl	tl	PROPN
cana-3406	285	11	,	,	PUNCT
cana-3406	285	12	active	active	ADJ
cana-3406	285	13	learning	learning	NOUN
cana-3406	285	14	,	,	PUNCT
cana-3406	285	15	and	and	CCONJ
cana-3406	285	16	cooperation	cooperation	NOUN
cana-3406	285	17	,	,	PUNCT
cana-3406	285	18	can	can	AUX
cana-3406	285	19	produce	produce	VERB
cana-3406	285	20	a	a	DET
cana-3406	285	21	comprehensive	comprehensive	ADJ
cana-3406	285	22	plan	plan	NOUN
cana-3406	285	23	to	to	PART
cana-3406	285	24	get	get	VERB
cana-3406	285	25	over	over	ADP
cana-3406	285	26	the	the	DET
cana-3406	285	27	limitations	limitation	NOUN
cana-3406	285	28	of	of	ADP
cana-3406	285	29	tiny	tiny	ADJ
cana-3406	285	30	,	,	PUNCT
cana-3406	285	31	publicly	publicly	ADV
cana-3406	285	32	available	available	ADJ
cana-3406	285	33	mammography	mammography	NOUN
cana-3406	285	34	databases	database	NOUN
cana-3406	285	35	.	.	PUNCT
cana-3406	286	1	these	these	DET
cana-3406	286	2	approaches	approach	NOUN
cana-3406	286	3	should	should	AUX
cana-3406	286	4	improve	improve	VERB
cana-3406	286	5	the	the	DET
cana-3406	286	6	performance	performance	NOUN
cana-3406	286	7	of	of	ADP
cana-3406	286	8	traditional	traditional	ADJ
cana-3406	286	9	brc	brc	NOUN
cana-3406	286	10	detection	detection	NOUN
cana-3406	286	11	techniques	technique	NOUN
cana-3406	286	12	while	while	SCONJ
cana-3406	286	13	also	also	ADV
cana-3406	286	14	boosting	boost	VERB
cana-3406	286	15	the	the	DET
cana-3406	286	16	system	system	NOUN
cana-3406	286	17	's	's	PART
cana-3406	286	18	overall	overall	ADJ
cana-3406	286	19	accuracy	accuracy	NOUN
cana-3406	286	20	and	and	CCONJ
cana-3406	286	21	dependability	dependability	NOUN
cana-3406	286	22	.	.	PUNCT
cana-3406	287	1	➢	➢	PROPN
cana-3406	287	2	rather	rather	ADV
cana-3406	287	3	than	than	ADP
cana-3406	287	4	three	three	NUM
cana-3406	287	5	classes	class	NOUN
cana-3406	287	6	(	(	PUNCT
cana-3406	287	7	normal	normal	ADJ
cana-3406	287	8	,	,	PUNCT
cana-3406	287	9	benign	benign	ADJ
cana-3406	287	10	,	,	PUNCT
cana-3406	287	11	and	and	CCONJ
cana-3406	287	12	malignant	malignant	ADJ
cana-3406	287	13	)	)	PUNCT
cana-3406	287	14	,	,	PUNCT
cana-3406	287	15	some	some	DET
cana-3406	287	16	datasets	dataset	NOUN
cana-3406	287	17	only	only	ADV
cana-3406	287	18	offer	offer	VERB
cana-3406	287	19	two	two	NUM
cana-3406	287	20	classes	class	NOUN
cana-3406	287	21	(	(	PUNCT
cana-3406	287	22	benign	benign	ADJ
cana-3406	287	23	and	and	CCONJ
cana-3406	287	24	malignant	malignant	ADJ
cana-3406	287	25	)	)	PUNCT
cana-3406	287	26	.	.	PUNCT
cana-3406	288	1	these	these	DET
cana-3406	288	2	class	class	NOUN
cana-3406	288	3	databases	database	NOUN
cana-3406	288	4	use	use	VERB
cana-3406	288	5	a	a	DET
cana-3406	288	6	three	three	NUM
cana-3406	288	7	-	-	PUNCT
cana-3406	288	8	class	class	NOUN
cana-3406	288	9	classification	classification	NOUN
cana-3406	288	10	approach	approach	NOUN
cana-3406	288	11	to	to	PART
cana-3406	288	12	give	give	VERB
cana-3406	288	13	a	a	DET
cana-3406	288	14	more	more	ADV
cana-3406	288	15	complete	complete	ADJ
cana-3406	288	16	view	view	NOUN
cana-3406	288	17	of	of	ADP
cana-3406	288	18	brc	brc	NOUN
cana-3406	288	19	cases	case	NOUN
cana-3406	288	20	.	.	PUNCT
cana-3406	289	1	this	this	PRON
cana-3406	289	2	makes	make	VERB
cana-3406	289	3	it	it	PRON
cana-3406	289	4	possible	possible	ADJ
cana-3406	289	5	for	for	SCONJ
cana-3406	289	6	researchers	researcher	NOUN
cana-3406	289	7	and	and	CCONJ
cana-3406	289	8	medical	medical	ADJ
cana-3406	289	9	professionals	professional	NOUN
cana-3406	289	10	to	to	PART
cana-3406	289	11	evaluate	evaluate	VERB
cana-3406	289	12	and	and	CCONJ
cana-3406	289	13	develop	develop	VERB
cana-3406	289	14	classification	classification	NOUN
cana-3406	289	15	models	model	NOUN
cana-3406	289	16	that	that	PRON
cana-3406	289	17	accurately	accurately	ADV
cana-3406	289	18	distinguish	distinguish	VERB
cana-3406	289	19	between	between	ADP
cana-3406	289	20	benign	benign	ADJ
cana-3406	289	21	abnormalities	abnormality	NOUN
cana-3406	289	22	,	,	PUNCT
cana-3406	289	23	healthy	healthy	ADJ
cana-3406	289	24	breast	breast	NOUN
cana-3406	289	25	tissue	tissue	NOUN
cana-3406	289	26	,	,	PUNCT
cana-3406	289	27	and	and	CCONJ
cana-3406	289	28	cancerous	cancerous	ADJ
cana-3406	289	29	tumors	tumor	NOUN
cana-3406	289	30	.	.	PUNCT
cana-3406	290	1	the	the	DET
cana-3406	290	2	additional	additional	ADJ
cana-3406	290	3	"	"	PUNCT
cana-3406	290	4	normal	normal	ADJ
cana-3406	290	5	"	"	PUNCT
cana-3406	290	6	category	category	NOUN
cana-3406	290	7	makes	make	VERB
cana-3406	290	8	it	it	PRON
cana-3406	290	9	easier	easy	ADJ
cana-3406	290	10	to	to	PART
cana-3406	290	11	distinguish	distinguish	VERB
cana-3406	290	12	between	between	ADP
cana-3406	290	13	benign	benign	ADJ
cana-3406	290	14	and	and	CCONJ
cana-3406	290	15	malignant	malignant	ADJ
cana-3406	290	16	breast	breast	NOUN
cana-3406	290	17	tissue	tissue	NOUN
cana-3406	290	18	abnormalities	abnormality	NOUN
cana-3406	290	19	.	.	PUNCT
cana-3406	291	1	the	the	DET
cana-3406	291	2	three	three	NUM
cana-3406	291	3	-	-	PUNCT
cana-3406	291	4	class	class	NOUN
cana-3406	291	5	categorization	categorization	NOUN
cana-3406	291	6	simultaneously	simultaneously	ADV
cana-3406	291	7	detects	detect	VERB
cana-3406	291	8	cancer	cancer	NOUN
cana-3406	291	9	,	,	PUNCT
cana-3406	291	10	benign	benign	ADJ
cana-3406	291	11	,	,	PUNCT
cana-3406	291	12	and	and	CCONJ
cana-3406	291	13	normal	normal	ADJ
cana-3406	291	14	,	,	PUNCT
cana-3406	291	15	despite	despite	SCONJ
cana-3406	291	16	the	the	DET
cana-3406	291	17	fact	fact	NOUN
cana-3406	291	18	that	that	SCONJ
cana-3406	291	19	it	it	PRON
cana-3406	291	20	is	be	AUX
cana-3406	291	21	quite	quite	ADV
cana-3406	291	22	difficult	difficult	ADJ
cana-3406	291	23	.	.	PUNCT
cana-3406	292	1	thus	thus	ADV
cana-3406	292	2	,	,	PUNCT
cana-3406	292	3	this	this	PRON
cana-3406	292	4	could	could	AUX
cana-3406	292	5	be	be	AUX
cana-3406	292	6	a	a	DET
cana-3406	292	7	worthwhile	worthwhile	ADJ
cana-3406	292	8	line	line	NOUN
cana-3406	292	9	of	of	ADP
cana-3406	292	10	inquiry	inquiry	NOUN
cana-3406	292	11	.	.	PUNCT
cana-3406	293	1	➢	➢	VERB
cana-3406	293	2	the	the	DET
cana-3406	293	3	noise	noise	NOUN
cana-3406	293	4	,	,	PUNCT
cana-3406	293	5	outliers	outlier	NOUN
cana-3406	293	6	,	,	PUNCT
cana-3406	293	7	weak	weak	ADJ
cana-3406	293	8	edges	edge	NOUN
cana-3406	293	9	,	,	PUNCT
cana-3406	293	10	and	and	CCONJ
cana-3406	293	11	intensity	intensity	NOUN
cana-3406	293	12	variation	variation	NOUN
cana-3406	293	13	make	make	VERB
cana-3406	293	14	it	it	PRON
cana-3406	293	15	harder	hard	ADJ
cana-3406	293	16	to	to	PART
cana-3406	293	17	detect	detect	VERB
cana-3406	293	18	and	and	CCONJ
cana-3406	293	19	classify	classify	VERB
cana-3406	293	20	brc	brc	NOUN
cana-3406	293	21	.	.	PUNCT
cana-3406	294	1	the	the	DET
cana-3406	294	2	solution	solution	NOUN
cana-3406	294	3	includes	include	VERB
cana-3406	294	4	picture	picture	NOUN
cana-3406	294	5	enhancement	enhancement	NOUN
cana-3406	294	6	preprocessing	preprocessing	NOUN
cana-3406	294	7	,	,	PUNCT
cana-3406	294	8	robust	robust	ADJ
cana-3406	294	9	feature	feature	NOUN
cana-3406	294	10	extraction	extraction	NOUN
cana-3406	294	11	and	and	CCONJ
cana-3406	294	12	selection	selection	NOUN
cana-3406	294	13	,	,	PUNCT
cana-3406	294	14	robust	robust	ADJ
cana-3406	294	15	classification	classification	NOUN
cana-3406	294	16	algorithm	algorithm	NOUN
cana-3406	294	17	implementation	implementation	NOUN
cana-3406	294	18	,	,	PUNCT
cana-3406	294	19	ensemble	ensemble	ADJ
cana-3406	294	20	methods	method	NOUN
cana-3406	294	21	,	,	PUNCT
cana-3406	294	22	data	datum	NOUN
cana-3406	294	23	enhancement	enhancement	NOUN
cana-3406	294	24	,	,	PUNCT
cana-3406	294	25	local	local	ADJ
cana-3406	294	26	characteristic	characteristic	ADJ
cana-3406	294	27	adjustment	adjustment	NOUN
cana-3406	294	28	,	,	PUNCT
cana-3406	294	29	quality	quality	NOUN
cana-3406	294	30	control	control	NOUN
cana-3406	294	31	,	,	PUNCT
cana-3406	294	32	and	and	CCONJ
cana-3406	294	33	error	error	NOUN
cana-3406	294	34	analysis	analysis	NOUN
cana-3406	294	35	.	.	PUNCT
cana-3406	295	1	these	these	DET
cana-3406	295	2	methods	method	NOUN
cana-3406	295	3	aim	aim	VERB
cana-3406	295	4	to	to	PART
cana-3406	295	5	improve	improve	VERB
cana-3406	295	6	image	image	NOUN
cana-3406	295	7	communications	communication	NOUN
cana-3406	295	8	on	on	ADP
cana-3406	295	9	applied	apply	VERB
cana-3406	295	10	nonlinear	nonlinear	ADJ
cana-3406	295	11	analysis	analysis	NOUN
cana-3406	295	12	issn	issn	NOUN
cana-3406	295	13	:	:	PUNCT
cana-3406	295	14	1074	1074	NUM
cana-3406	295	15	-	-	PUNCT
cana-3406	295	16	133x	133x	NUM
cana-3406	295	17	vol	vol	NOUN
cana-3406	295	18	32	32	NUM
cana-3406	295	19	no	no	NOUN
cana-3406	295	20	.	.	PUNCT
cana-3406	296	1	7s	7	NOUN
cana-3406	296	2	(	(	PUNCT
cana-3406	296	3	2025	2025	NUM
cana-3406	296	4	)	)	PUNCT
cana-3406	296	5	317	317	NUM
cana-3406	296	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3406	296	7	quality	quality	NOUN
cana-3406	296	8	,	,	PUNCT
cana-3406	296	9	manage	manage	VERB
cana-3406	296	10	variations	variation	NOUN
cana-3406	296	11	,	,	PUNCT
cana-3406	296	12	enhance	enhance	VERB
cana-3406	296	13	feature	feature	NOUN
cana-3406	296	14	representation	representation	NOUN
cana-3406	296	15	,	,	PUNCT
cana-3406	296	16	strengthen	strengthen	VERB
cana-3406	296	17	resilience	resilience	NOUN
cana-3406	296	18	,	,	PUNCT
cana-3406	296	19	and	and	CCONJ
cana-3406	296	20	optimize	optimize	VERB
cana-3406	296	21	algorithms	algorithm	NOUN
cana-3406	296	22	for	for	ADP
cana-3406	296	23	precise	precise	ADJ
cana-3406	296	24	brc	brc	NOUN
cana-3406	296	25	diagnosis	diagnosis	NOUN
cana-3406	296	26	and	and	CCONJ
cana-3406	296	27	classification	classification	NOUN
cana-3406	296	28	.	.	PUNCT
cana-3406	297	1	further	further	ADJ
cana-3406	297	2	implementation	implementation	NOUN
cana-3406	297	3	scopes	scope	NOUN
cana-3406	297	4	from	from	ADP
cana-3406	297	5	the	the	DET
cana-3406	297	6	above	above	ADJ
cana-3406	297	7	analysis	analysis	NOUN
cana-3406	297	8	adequate	adequate	ADJ
cana-3406	297	9	scope	scope	NOUN
cana-3406	297	10	for	for	ADP
cana-3406	297	11	more	more	ADJ
cana-3406	297	12	research	research	NOUN
cana-3406	297	13	to	to	PART
cana-3406	297	14	be	be	AUX
cana-3406	297	15	done	do	VERB
cana-3406	297	16	.	.	PUNCT
cana-3406	298	1	this	this	DET
cana-3406	298	2	section	section	NOUN
cana-3406	298	3	presents	present	VERB
cana-3406	298	4	some	some	PRON
cana-3406	298	5	of	of	ADP
cana-3406	298	6	the	the	DET
cana-3406	298	7	future	future	ADJ
cana-3406	298	8	scopes	scope	NOUN
cana-3406	298	9	.	.	PUNCT
cana-3406	299	1	➢	➢	VERB
cana-3406	299	2	a	a	DET
cana-3406	299	3	standard	standard	ADJ
cana-3406	299	4	public	public	ADJ
cana-3406	299	5	database	database	NOUN
cana-3406	299	6	that	that	PRON
cana-3406	299	7	includes	include	VERB
cana-3406	299	8	multiple	multiple	ADJ
cana-3406	299	9	image	image	NOUN
cana-3406	299	10	modalities	modality	NOUN
cana-3406	299	11	of	of	ADP
cana-3406	299	12	the	the	DET
cana-3406	299	13	same	same	ADJ
cana-3406	299	14	individual	individual	NOUN
cana-3406	299	15	can	can	AUX
cana-3406	299	16	be	be	AUX
cana-3406	299	17	created	create	VERB
cana-3406	299	18	.	.	PUNCT
cana-3406	300	1	adding	add	VERB
cana-3406	300	2	images	image	NOUN
cana-3406	300	3	from	from	ADP
cana-3406	300	4	various	various	ADJ
cana-3406	300	5	light	light	ADJ
cana-3406	300	6	conditions	condition	NOUN
cana-3406	300	7	,	,	PUNCT
cana-3406	300	8	resolutions	resolution	NOUN
cana-3406	300	9	,	,	PUNCT
cana-3406	300	10	and	and	CCONJ
cana-3406	300	11	mammography	mammography	NOUN
cana-3406	300	12	views	view	NOUN
cana-3406	300	13	can	can	AUX
cana-3406	300	14	create	create	VERB
cana-3406	300	15	a	a	DET
cana-3406	300	16	new	new	ADJ
cana-3406	300	17	,	,	PUNCT
cana-3406	300	18	larger	large	ADJ
cana-3406	300	19	database	database	NOUN
cana-3406	300	20	that	that	PRON
cana-3406	300	21	offers	offer	VERB
cana-3406	300	22	a	a	DET
cana-3406	300	23	platform	platform	NOUN
cana-3406	300	24	for	for	ADP
cana-3406	300	25	reliable	reliable	ADJ
cana-3406	300	26	brc	brc	NOUN
cana-3406	300	27	detection	detection	NOUN
cana-3406	300	28	and	and	CCONJ
cana-3406	300	29	classification	classification	NOUN
cana-3406	300	30	.	.	PUNCT
cana-3406	301	1	therefore	therefore	ADV
cana-3406	301	2	,	,	PUNCT
cana-3406	301	3	by	by	ADP
cana-3406	301	4	combining	combine	VERB
cana-3406	301	5	the	the	DET
cana-3406	301	6	capabilities	capability	NOUN
cana-3406	301	7	of	of	ADP
cana-3406	301	8	each	each	PRON
cana-3406	301	9	of	of	ADP
cana-3406	301	10	these	these	DET
cana-3406	301	11	modalities	modality	NOUN
cana-3406	301	12	,	,	PUNCT
cana-3406	301	13	a	a	DET
cana-3406	301	14	reliable	reliable	ADJ
cana-3406	301	15	and	and	CCONJ
cana-3406	301	16	precise	precise	ADJ
cana-3406	301	17	system	system	NOUN
cana-3406	301	18	can	can	AUX
cana-3406	301	19	be	be	AUX
cana-3406	301	20	created	create	VERB
cana-3406	301	21	.	.	PUNCT
cana-3406	302	1	➢	➢	VERB
cana-3406	302	2	the	the	DET
cana-3406	302	3	development	development	NOUN
cana-3406	302	4	of	of	ADP
cana-3406	302	5	more	more	ADV
cana-3406	302	6	reliable	reliable	ADJ
cana-3406	302	7	and	and	CCONJ
cana-3406	302	8	accurate	accurate	ADJ
cana-3406	302	9	ml	ml	NOUN
cana-3406	302	10	,	,	PUNCT
cana-3406	302	11	tl	tl	PROPN
cana-3406	302	12	,	,	PUNCT
cana-3406	302	13	and	and	CCONJ
cana-3406	302	14	dl	dl	NOUN
cana-3406	302	15	-	-	PUNCT
cana-3406	302	16	based	base	VERB
cana-3406	302	17	methods	method	NOUN
cana-3406	302	18	may	may	AUX
cana-3406	302	19	improve	improve	VERB
cana-3406	302	20	the	the	DET
cana-3406	302	21	segmentation	segmentation	NOUN
cana-3406	302	22	and	and	CCONJ
cana-3406	302	23	classification	classification	NOUN
cana-3406	302	24	performance	performance	NOUN
cana-3406	302	25	.	.	PUNCT
cana-3406	303	1	by	by	ADP
cana-3406	303	2	using	use	VERB
cana-3406	303	3	an	an	DET
cana-3406	303	4	ensemble	ensemble	ADJ
cana-3406	303	5	or	or	CCONJ
cana-3406	303	6	hybrid	hybrid	ADJ
cana-3406	303	7	classifier	classifier	NOUN
cana-3406	303	8	,	,	PUNCT
cana-3406	303	9	the	the	DET
cana-3406	303	10	performance	performance	NOUN
cana-3406	303	11	can	can	AUX
cana-3406	303	12	be	be	AUX
cana-3406	303	13	further	far	ADV
cana-3406	303	14	improvised	improvise	VERB
cana-3406	303	15	.	.	PUNCT
cana-3406	304	1	an	an	DET
cana-3406	304	2	ensemble	ensemble	ADJ
cana-3406	304	3	classifier	classifier	NOUN
cana-3406	304	4	typically	typically	ADV
cana-3406	304	5	has	have	VERB
cana-3406	304	6	a	a	DET
cana-3406	304	7	higher	high	ADJ
cana-3406	304	8	overall	overall	ADJ
cana-3406	304	9	accuracy	accuracy	NOUN
cana-3406	304	10	than	than	ADP
cana-3406	304	11	any	any	DET
cana-3406	304	12	single	single	ADJ
cana-3406	304	13	classifier	classifier	NOUN
cana-3406	304	14	because	because	SCONJ
cana-3406	304	15	it	it	PRON
cana-3406	304	16	combines	combine	VERB
cana-3406	304	17	the	the	DET
cana-3406	304	18	predictions	prediction	NOUN
cana-3406	304	19	of	of	ADP
cana-3406	304	20	many	many	ADJ
cana-3406	304	21	different	different	ADJ
cana-3406	304	22	classifiers	classifier	NOUN
cana-3406	304	23	.	.	PUNCT
cana-3406	305	1	they	they	PRON
cana-3406	305	2	use	use	VERB
cana-3406	305	3	the	the	DET
cana-3406	305	4	combined	combined	ADJ
cana-3406	305	5	knowledge	knowledge	NOUN
cana-3406	305	6	of	of	ADP
cana-3406	305	7	multiple	multiple	ADJ
cana-3406	305	8	base	base	NOUN
cana-3406	305	9	models	model	NOUN
cana-3406	305	10	to	to	PART
cana-3406	305	11	offset	offset	VERB
cana-3406	305	12	the	the	DET
cana-3406	305	13	shortcomings	shortcoming	NOUN
cana-3406	305	14	and	and	CCONJ
cana-3406	305	15	biases	bias	NOUN
cana-3406	305	16	of	of	ADP
cana-3406	305	17	individual	individual	ADJ
cana-3406	305	18	classifiers	classifier	NOUN
cana-3406	305	19	.	.	PUNCT
cana-3406	306	1	in	in	ADP
cana-3406	306	2	a	a	DET
cana-3406	306	3	similar	similar	ADJ
cana-3406	306	4	vein	vein	NOUN
cana-3406	306	5	,	,	PUNCT
cana-3406	306	6	a	a	DET
cana-3406	306	7	hybrid	hybrid	NOUN
cana-3406	306	8	classifier	classifier	NOUN
cana-3406	306	9	combines	combine	VERB
cana-3406	306	10	multiple	multiple	ADJ
cana-3406	306	11	classifier	classifier	NOUN
cana-3406	306	12	types	type	NOUN
cana-3406	306	13	to	to	PART
cana-3406	306	14	capitalize	capitalize	VERB
cana-3406	306	15	on	on	ADP
cana-3406	306	16	their	their	PRON
cana-3406	306	17	complementary	complementary	ADJ
cana-3406	306	18	advantages	advantage	NOUN
cana-3406	306	19	and	and	CCONJ
cana-3406	306	20	get	get	VERB
cana-3406	306	21	around	around	ADP
cana-3406	306	22	their	their	PRON
cana-3406	306	23	distinct	distinct	ADJ
cana-3406	306	24	drawbacks	drawback	NOUN
cana-3406	306	25	,	,	PUNCT
cana-3406	306	26	thus	thus	ADV
cana-3406	306	27	enhancing	enhance	VERB
cana-3406	306	28	the	the	DET
cana-3406	306	29	system	system	NOUN
cana-3406	306	30	's	's	PART
cana-3406	306	31	overall	overall	ADJ
cana-3406	306	32	performance	performance	NOUN
cana-3406	306	33	.	.	PUNCT
cana-3406	307	1	conclusion	conclusion	NOUN
cana-3406	307	2	outlines	outline	NOUN
cana-3406	307	3	of	of	ADP
cana-3406	307	4	this	this	DET
cana-3406	307	5	study	study	NOUN
cana-3406	307	6	to	to	PART
cana-3406	307	7	improve	improve	VERB
cana-3406	307	8	the	the	DET
cana-3406	307	9	brc	brc	NOUN
cana-3406	307	10	categorization	categorization	NOUN
cana-3406	307	11	outcomes	outcome	NOUN
cana-3406	307	12	.	.	PUNCT
cana-3406	308	1	the	the	DET
cana-3406	308	2	possible	possible	ADJ
cana-3406	308	3	future	future	ADJ
cana-3406	308	4	research	research	NOUN
cana-3406	308	5	directions	direction	NOUN
cana-3406	308	6	are	be	AUX
cana-3406	308	7	indicated	indicate	VERB
cana-3406	308	8	below	below	ADP
cana-3406	308	9	based	base	VERB
cana-3406	308	10	on	on	ADP
cana-3406	308	11	a	a	DET
cana-3406	308	12	thorough	thorough	ADJ
cana-3406	308	13	investigation	investigation	NOUN
cana-3406	308	14	of	of	ADP
cana-3406	308	15	this	this	DET
cana-3406	308	16	subject	subject	NOUN
cana-3406	308	17	.	.	PUNCT
cana-3406	309	1	currently	currently	ADV
cana-3406	309	2	,	,	PUNCT
cana-3406	309	3	brc	brc	PROPN
cana-3406	309	4	is	be	AUX
cana-3406	309	5	diagnosed	diagnose	VERB
cana-3406	309	6	using	use	VERB
cana-3406	309	7	cnns	cnn	NOUN
cana-3406	309	8	and	and	CCONJ
cana-3406	309	9	anns	ann	NOUN
cana-3406	309	10	.	.	PUNCT
cana-3406	310	1	other	other	ADJ
cana-3406	310	2	types	type	NOUN
cana-3406	310	3	of	of	ADP
cana-3406	310	4	dl	dl	PROPN
cana-3406	310	5	networks	network	NOUN
cana-3406	310	6	,	,	PUNCT
cana-3406	310	7	including	include	VERB
cana-3406	310	8	clustering	clustering	NOUN
cana-3406	310	9	,	,	PUNCT
cana-3406	310	10	rnns	rnn	NOUN
cana-3406	310	11	,	,	PUNCT
cana-3406	310	12	and	and	CCONJ
cana-3406	310	13	gans	gan	NOUN
cana-3406	310	14	,	,	PUNCT
cana-3406	310	15	should	should	AUX
cana-3406	310	16	be	be	AUX
cana-3406	310	17	investigated	investigate	VERB
cana-3406	310	18	in	in	ADP
cana-3406	310	19	this	this	DET
cana-3406	310	20	area	area	NOUN
cana-3406	310	21	.	.	PUNCT
cana-3406	311	1	cnn	cnn	PROPN
cana-3406	311	2	's	's	PART
cana-3406	311	3	capacity	capacity	NOUN
cana-3406	311	4	to	to	PART
cana-3406	311	5	extract	extract	VERB
cana-3406	311	6	valuable	valuable	ADJ
cana-3406	311	7	information	information	NOUN
cana-3406	311	8	from	from	ADP
cana-3406	311	9	images	image	NOUN
cana-3406	311	10	makes	make	VERB
cana-3406	311	11	it	it	PRON
cana-3406	311	12	a	a	DET
cana-3406	311	13	popular	popular	ADJ
cana-3406	311	14	choice	choice	NOUN
cana-3406	311	15	for	for	ADP
cana-3406	311	16	brc	brc	NOUN
cana-3406	311	17	classification	classification	NOUN
cana-3406	311	18	.	.	PUNCT
cana-3406	312	1	we	we	PRON
cana-3406	312	2	recommend	recommend	VERB
cana-3406	312	3	that	that	SCONJ
cana-3406	312	4	different	different	ADJ
cana-3406	312	5	cnn	cnn	NOUN
cana-3406	312	6	architecture	architecture	NOUN
cana-3406	312	7	-	-	PUNCT
cana-3406	312	8	based	base	VERB
cana-3406	312	9	methodologies	methodology	NOUN
cana-3406	312	10	and	and	CCONJ
cana-3406	312	11	hyperparameter	hyperparameter	NOUN
cana-3406	312	12	tuning	tuning	NOUN
cana-3406	312	13	be	be	AUX
cana-3406	312	14	studied	study	VERB
cana-3406	312	15	.	.	PUNCT
cana-3406	313	1	the	the	DET
cana-3406	313	2	choice	choice	NOUN
cana-3406	313	3	of	of	ADP
cana-3406	313	4	features	feature	NOUN
cana-3406	313	5	and	and	CCONJ
cana-3406	313	6	classifiers	classifier	NOUN
cana-3406	313	7	has	have	VERB
cana-3406	313	8	a	a	DET
cana-3406	313	9	significant	significant	ADJ
cana-3406	313	10	impact	impact	NOUN
cana-3406	313	11	on	on	ADP
cana-3406	313	12	model	model	NOUN
cana-3406	313	13	efficiency	efficiency	NOUN
cana-3406	313	14	.	.	PUNCT
cana-3406	314	1	performance	performance	NOUN
cana-3406	314	2	could	could	AUX
cana-3406	314	3	potentially	potentially	ADV
cana-3406	314	4	be	be	AUX
cana-3406	314	5	improved	improve	VERB
cana-3406	314	6	by	by	ADP
cana-3406	314	7	taking	take	VERB
cana-3406	314	8	into	into	ADP
cana-3406	314	9	account	account	NOUN
cana-3406	314	10	the	the	DET
cana-3406	314	11	features	feature	NOUN
cana-3406	314	12	and	and	CCONJ
cana-3406	314	13	classifiers	classifier	NOUN
cana-3406	314	14	chosen	choose	VERB
cana-3406	314	15	.	.	PUNCT
cana-3406	315	1	according	accord	VERB
cana-3406	315	2	to	to	ADP
cana-3406	315	3	a	a	DET
cana-3406	315	4	study	study	NOUN
cana-3406	315	5	,	,	PUNCT
cana-3406	315	6	more	more	ADV
cana-3406	315	7	clinical	clinical	ADJ
cana-3406	315	8	data	datum	NOUN
cana-3406	315	9	could	could	AUX
cana-3406	315	10	improve	improve	VERB
cana-3406	315	11	the	the	DET
cana-3406	315	12	classifier	classifier	NOUN
cana-3406	315	13	's	's	PART
cana-3406	315	14	effectiveness	effectiveness	NOUN
cana-3406	315	15	.	.	PUNCT
cana-3406	316	1	in	in	ADP
cana-3406	316	2	contrast	contrast	NOUN
cana-3406	316	3	to	to	ADP
cana-3406	316	4	managing	manage	VERB
cana-3406	316	5	data	datum	NOUN
cana-3406	316	6	scarcity	scarcity	NOUN
cana-3406	316	7	,	,	PUNCT
cana-3406	316	8	expanding	expand	VERB
cana-3406	316	9	data	datum	NOUN
cana-3406	316	10	would	would	AUX
cana-3406	316	11	enhance	enhance	VERB
cana-3406	316	12	model	model	NOUN
cana-3406	316	13	performance	performance	NOUN
cana-3406	316	14	and	and	CCONJ
cana-3406	316	15	facilitate	facilitate	NOUN
cana-3406	316	16	experimentation	experimentation	NOUN
cana-3406	316	17	with	with	ADP
cana-3406	316	18	core	core	ADJ
cana-3406	316	19	model	model	NOUN
cana-3406	316	20	performance	performance	NOUN
cana-3406	316	21	.	.	PUNCT
cana-3406	317	1	the	the	DET
cana-3406	317	2	training	training	NOUN
cana-3406	317	3	technique	technique	NOUN
cana-3406	317	4	known	know	VERB
cana-3406	317	5	as	as	ADP
cana-3406	317	6	"	"	PUNCT
cana-3406	317	7	same	same	ADJ
cana-3406	317	8	-	-	PUNCT
cana-3406	317	9	domain	domain	NOUN
cana-3406	317	10	tl	tl	PROPN
cana-3406	317	11	"	"	PUNCT
cana-3406	317	12	makes	make	VERB
cana-3406	317	13	use	use	NOUN
cana-3406	317	14	of	of	ADP
cana-3406	317	15	pictures	picture	NOUN
cana-3406	317	16	that	that	PRON
cana-3406	317	17	are	be	AUX
cana-3406	317	18	similar	similar	ADJ
cana-3406	317	19	to	to	ADP
cana-3406	317	20	the	the	DET
cana-3406	317	21	target	target	NOUN
cana-3406	317	22	dataset	dataset	VERB
cana-3406	317	23	.	.	PUNCT
cana-3406	318	1	for	for	ADP
cana-3406	318	2	instance	instance	NOUN
cana-3406	318	3	,	,	PUNCT
cana-3406	318	4	the	the	DET
cana-3406	318	5	model	model	NOUN
cana-3406	318	6	is	be	AUX
cana-3406	318	7	trained	train	VERB
cana-3406	318	8	on	on	ADP
cana-3406	318	9	x	x	NOUN
cana-3406	318	10	-	-	NOUN
cana-3406	318	11	ray	ray	NOUN
cana-3406	318	12	images	image	NOUN
cana-3406	318	13	of	of	ADP
cana-3406	318	14	different	different	ADJ
cana-3406	318	15	breast	breast	NOUN
cana-3406	318	16	disorders	disorder	NOUN
cana-3406	318	17	before	before	ADP
cana-3406	318	18	being	be	AUX
cana-3406	318	19	refined	refine	VERB
cana-3406	318	20	and	and	CCONJ
cana-3406	318	21	trained	train	VERB
cana-3406	318	22	on	on	ADP
cana-3406	318	23	x	x	ADJ
cana-3406	318	24	-	-	NOUN
cana-3406	318	25	ray	ray	NOUN
cana-3406	318	26	images	image	NOUN
cana-3406	318	27	of	of	ADP
cana-3406	318	28	brc	brc	NOUN
cana-3406	318	29	to	to	PART
cana-3406	318	30	diagnose	diagnose	VERB
cana-3406	318	31	brc	brc	NOUN
cana-3406	318	32	.	.	PUNCT
cana-3406	319	1	since	since	SCONJ
cana-3406	319	2	same	same	ADJ
cana-3406	319	3	domain	domain	NOUN
cana-3406	319	4	tl	tl	PROPN
cana-3406	319	5	has	have	AUX
cana-3406	319	6	lately	lately	ADV
cana-3406	319	7	shown	show	VERB
cana-3406	319	8	encouraging	encouraging	ADJ
cana-3406	319	9	results	result	NOUN
cana-3406	319	10	,	,	PUNCT
cana-3406	319	11	it	it	PRON
cana-3406	319	12	should	should	AUX
cana-3406	319	13	be	be	AUX
cana-3406	319	14	investigated	investigate	VERB
cana-3406	319	15	.	.	PUNCT
cana-3406	320	1	studies	study	NOUN
cana-3406	320	2	that	that	PRON
cana-3406	320	3	use	use	VERB
cana-3406	320	4	these	these	DET
cana-3406	320	5	imaging	imaging	NOUN
cana-3406	320	6	modularity	modularity	NOUN
cana-3406	320	7	’s	’s	PART
cana-3406	320	8	also	also	ADV
cana-3406	320	9	examine	examine	VERB
cana-3406	320	10	unpublished	unpublished	ADJ
cana-3406	320	11	datasets	dataset	NOUN
cana-3406	320	12	.	.	PUNCT
cana-3406	321	1	for	for	ADP
cana-3406	321	2	the	the	DET
cana-3406	321	3	sake	sake	NOUN
cana-3406	321	4	of	of	ADP
cana-3406	321	5	future	future	ADJ
cana-3406	321	6	knowledge	knowledge	NOUN
cana-3406	321	7	discovery	discovery	NOUN
cana-3406	321	8	and	and	CCONJ
cana-3406	321	9	application	application	NOUN
cana-3406	321	10	,	,	PUNCT
cana-3406	321	11	the	the	DET
cana-3406	321	12	study	study	NOUN
cana-3406	321	13	datasets	dataset	NOUN
cana-3406	321	14	ought	ought	AUX
cana-3406	321	15	to	to	PART
cana-3406	321	16	be	be	AUX
cana-3406	321	17	disclosed	disclose	VERB
cana-3406	321	18	.	.	PUNCT
cana-3406	322	1	references	reference	NOUN
cana-3406	322	2	[	[	X
cana-3406	322	3	1	1	NUM
cana-3406	322	4	]	]	PUNCT
cana-3406	322	5	breast	breast	NOUN
cana-3406	322	6	cancer	cancer	NOUN
cana-3406	322	7	.	.	PUNCT
cana-3406	323	1	2024	2024	NUM
cana-3406	323	2	.	.	PUNCT
cana-3406	324	1	available	available	ADJ
cana-3406	324	2	online	online	ADV
cana-3406	324	3	:	:	PUNCT
cana-3406	324	4	https://www.who.int/news-room/fact-sheets/detail/breast-cancer	https://www.who.int/news-room/fact-sheets/detail/breast-cancer	NOUN
cana-3406	324	5	(	(	PUNCT
cana-3406	324	6	accessed	access	VERB
cana-3406	324	7	on	on	ADP
cana-3406	324	8	29	29	NUM
cana-3406	324	9	december	december	PROPN
cana-3406	324	10	2024	2024	NUM
cana-3406	324	11	)	)	PUNCT
cana-3406	324	12	.	.	PUNCT
cana-3406	325	1	[	[	X
cana-3406	325	2	2	2	NUM
cana-3406	325	3	]	]	PUNCT
cana-3406	325	4	journal	journal	NOUN
cana-3406	325	5	the	the	DET
cana-3406	325	6	breast	breast	NOUN
cana-3406	325	7	,	,	PUNCT
cana-3406	325	8	title	title	NOUN
cana-3406	325	9	:	:	PUNCT
cana-3406	325	10	current	current	ADJ
cana-3406	325	11	and	and	CCONJ
cana-3406	325	12	future	future	ADJ
cana-3406	325	13	burden	burden	NOUN
cana-3406	325	14	of	of	ADP
cana-3406	325	15	brc	brc	NOUN
cana-3406	325	16	:	:	PUNCT
cana-3406	325	17	global	global	ADJ
cana-3406	325	18	statistics	statistic	NOUN
cana-3406	325	19	for	for	ADP
cana-3406	325	20	2020	2020	NUM
cana-3406	325	21	and	and	CCONJ
cana-3406	325	22	2040	2040	NUM
cana-3406	325	23	,	,	PUNCT
cana-3406	325	24	authors	author	NOUN
cana-3406	325	25	:	:	PUNCT
cana-3406	325	26	melina	melina	PROPN
cana-3406	325	27	arnold	arnold	PROPN
cana-3406	325	28	,	,	PUNCT
cana-3406	325	29	eileen	eileen	PROPN
cana-3406	325	30	morgan	morgan	PROPN
cana-3406	325	31	,	,	PUNCT
cana-3406	325	32	harriet	harriet	PROPN
cana-3406	325	33	rumgay	rumgay	NOUN
cana-3406	325	34	,	,	PUNCT
cana-3406	325	35	allini	allini	NOUN
cana-3406	325	36	mafra	mafra	NOUN
cana-3406	325	37	,	,	PUNCT
cana-3406	325	38	deependra	deependra	NOUN
cana-3406	325	39	singh	singh	PROPN
cana-3406	325	40	,	,	PUNCT
cana-3406	325	41	mathieu	mathieu	PROPN
cana-3406	325	42	laversanne	laversanne	PROPN
cana-3406	325	43	,	,	PUNCT
cana-3406	325	44	jerome	jerome	PROPN
cana-3406	325	45	vignat	vignat	PROPN
cana-3406	325	46	,	,	PUNCT
cana-3406	325	47	julie	julie	PROPN
cana-3406	325	48	r.	r.	PROPN
cana-3406	325	49	gralow	gralow	PROPN
cana-3406	325	50	,	,	PUNCT
cana-3406	325	51	fatima	fatima	PROPN
cana-3406	325	52	cardoso	cardoso	PROPN
cana-3406	325	53	,	,	PUNCT
cana-3406	325	54	sabine	sabine	PROPN
cana-3406	325	55	siesling	siesling	PROPN
cana-3406	325	56	,	,	PUNCT
cana-3406	325	57	isabelle	isabelle	PROPN
cana-3406	325	58	soerjomataram	soerjomataram	PROPN
cana-3406	325	59	,	,	PUNCT
cana-3406	325	60	elsevier	elsevier	NOUN
cana-3406	325	61	2022	2022	NUM
cana-3406	325	62	.	.	PUNCT
cana-3406	326	1	communications	communication	NOUN
cana-3406	326	2	on	on	ADP
cana-3406	326	3	applied	apply	VERB
cana-3406	326	4	nonlinear	nonlinear	ADJ
cana-3406	326	5	analysis	analysis	NOUN
cana-3406	326	6	issn	issn	NOUN
cana-3406	326	7	:	:	PUNCT
cana-3406	326	8	1074	1074	NUM
cana-3406	326	9	-	-	PUNCT
cana-3406	326	10	133x	133x	NUM
cana-3406	326	11	vol	vol	NOUN
cana-3406	326	12	32	32	NUM
cana-3406	326	13	no	no	NOUN
cana-3406	326	14	.	.	PUNCT
cana-3406	327	1	7s	7	NOUN
cana-3406	327	2	(	(	PUNCT
cana-3406	327	3	2025	2025	NUM
cana-3406	327	4	)	)	PUNCT
cana-3406	327	5	318	318	NUM
cana-3406	327	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3406	328	1	[	[	X
cana-3406	328	2	3	3	NUM
cana-3406	328	3	]	]	PUNCT
cana-3406	328	4	oyelade	oyelade	NOUN
cana-3406	328	5	,	,	PUNCT
cana-3406	328	6	o.n	o.n	PROPN
cana-3406	328	7	.	.	PROPN
cana-3406	328	8	;	;	PUNCT
cana-3406	328	9	ezugwu	ezugwu	PROPN
cana-3406	328	10	,	,	PUNCT
cana-3406	328	11	a.e	a.e	PROPN
cana-3406	328	12	.	.	PROPN
cana-3406	328	13	a	a	DET
cana-3406	328	14	dl	dl	PROPN
cana-3406	328	15	model	model	NOUN
cana-3406	328	16	using	use	VERB
cana-3406	328	17	data	datum	NOUN
cana-3406	328	18	augmentation	augmentation	NOUN
cana-3406	328	19	for	for	ADP
cana-3406	328	20	detection	detection	NOUN
cana-3406	328	21	of	of	ADP
cana-3406	328	22	architectural	architectural	ADJ
cana-3406	328	23	distortion	distortion	NOUN
cana-3406	328	24	in	in	ADP
cana-3406	328	25	whole	whole	ADJ
cana-3406	328	26	and	and	CCONJ
cana-3406	328	27	patches	patch	NOUN
cana-3406	328	28	of	of	ADP
cana-3406	328	29	images	image	NOUN
cana-3406	328	30	.	.	PUNCT
cana-3406	328	31	biomed	biome	VERB
cana-3406	328	32	.	.	PUNCT
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cana-3406	329	2	process	process	NOUN
cana-3406	329	3	.	.	PUNCT
cana-3406	330	1	control	control	NOUN
cana-3406	330	2	2021	2021	NUM
cana-3406	330	3	,	,	PUNCT
cana-3406	330	4	65	65	NUM
cana-3406	330	5	,	,	PUNCT
cana-3406	330	6	102366	102366	NUM
cana-3406	330	7	.	.	PUNCT
cana-3406	331	1	[	[	X
cana-3406	331	2	4	4	NUM
cana-3406	331	3	]	]	X
cana-3406	331	4	huynh	huynh	PROPN
cana-3406	331	5	,	,	PUNCT
cana-3406	331	6	b.q	b.q	PROPN
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cana-3406	331	10	,	,	PUNCT
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cana-3406	331	12	;	;	PUNCT
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cana-3406	331	14	,	,	PUNCT
cana-3406	331	15	m.l	m.l	PROPN
cana-3406	331	16	.	.	PROPN
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cana-3406	331	18	mammographic	mammographic	ADJ
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cana-3406	331	20	classification	classification	NOUN
cana-3406	331	21	using	use	VERB
cana-3406	331	22	tl	tl	PROPN
cana-3406	331	23	from	from	ADP
cana-3406	331	24	deep	deep	ADJ
cana-3406	331	25	convolutional	convolutional	ADJ
cana-3406	331	26	neural	neural	ADJ
cana-3406	331	27	networks	network	NOUN
cana-3406	331	28	.	.	PUNCT
cana-3406	332	1	j.	j.	PROPN
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cana-3406	332	3	.	.	PUNCT
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cana-3406	333	5	,	,	PUNCT
cana-3406	333	6	034501	034501	NUM
cana-3406	333	7	.	.	PUNCT
cana-3406	334	1	[	[	X
cana-3406	334	2	5	5	NUM
cana-3406	334	3	]	]	SYM
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cana-3406	334	5	,	,	PUNCT
cana-3406	334	6	k.	k.	PROPN
cana-3406	334	7	;	;	PUNCT
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cana-3406	334	9	,	,	PUNCT
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cana-3406	334	16	cheng	cheng	PROPN
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cana-3406	334	19	;	;	PUNCT
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cana-3406	334	21	,	,	PUNCT
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cana-3406	334	23	;	;	PUNCT
cana-3406	334	24	sato	sato	PROPN
cana-3406	334	25	,	,	PUNCT
cana-3406	334	26	t.	t.	PROPN
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cana-3406	334	28	-	-	PUNCT
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cana-3406	334	30	-	-	PUNCT
cana-3406	334	31	empowered	empower	VERB
cana-3406	334	32	brc	brc	NOUN
cana-3406	334	33	auxiliary	auxiliary	ADJ
cana-3406	334	34	diagnosis	diagnosis	NOUN
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cana-3406	334	36	5	5	NUM
cana-3406	334	37	gb	gb	NOUN
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cana-3406	334	39	e	e	NOUN
cana-3406	334	40	-	-	NOUN
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cana-3406	334	42	.	.	PUNCT
cana-3406	334	43	ieee	ieee	PROPN
cana-3406	334	44	wirel	wirel	PROPN
cana-3406	334	45	.	.	PUNCT
cana-3406	335	1	commun	commun	PROPN
cana-3406	335	2	.	.	PROPN
cana-3406	335	3	2021	2021	NUM
cana-3406	335	4	,	,	PUNCT
cana-3406	335	5	28	28	NUM
cana-3406	335	6	,	,	PUNCT
cana-3406	335	7	54–61	54–61	NUM
cana-3406	335	8	.	.	PUNCT
cana-3406	336	1	[	[	X
cana-3406	336	2	6	6	NUM
cana-3406	336	3	]	]	SYM
cana-3406	336	4	xu	xu	PROPN
cana-3406	336	5	,	,	PUNCT
cana-3406	336	6	j.	j.	PROPN
cana-3406	336	7	;	;	PUNCT
cana-3406	336	8	luo	luo	PROPN
cana-3406	336	9	,	,	PUNCT
cana-3406	336	10	x.	x.	PROPN
cana-3406	336	11	;	;	PUNCT
cana-3406	336	12	wang	wang	PROPN
cana-3406	336	13	,	,	PUNCT
cana-3406	336	14	g.	g.	PROPN
cana-3406	336	15	;	;	PUNCT
cana-3406	336	16	gilmore	gilmore	PROPN
cana-3406	336	17	,	,	PUNCT
cana-3406	336	18	h.	h.	PROPN
cana-3406	336	19	;	;	PUNCT
cana-3406	336	20	madabhushi	madabhushi	PROPN
cana-3406	336	21	,	,	PUNCT
cana-3406	336	22	a.	a.	NOUN
cana-3406	336	23	a	a	DET
cana-3406	336	24	deep	deep	ADJ
cana-3406	336	25	convolutional	convolutional	ADJ
cana-3406	336	26	neural	neural	ADJ
cana-3406	336	27	network	network	NOUN
cana-3406	336	28	for	for	ADP
cana-3406	336	29	segmenting	segment	VERB
cana-3406	336	30	and	and	CCONJ
cana-3406	336	31	classifying	classify	VERB
cana-3406	336	32	epithelial	epithelial	ADJ
cana-3406	336	33	and	and	CCONJ
cana-3406	336	34	stromal	stromal	ADJ
cana-3406	336	35	regions	region	NOUN
cana-3406	336	36	in	in	ADP
cana-3406	336	37	histopathological	histopathological	ADJ
cana-3406	336	38	images	image	NOUN
cana-3406	336	39	.	.	PUNCT
cana-3406	337	1	neurocomputing	neurocompute	VERB
cana-3406	337	2	2016	2016	NUM
cana-3406	337	3	,	,	PUNCT
cana-3406	337	4	191	191	NUM
cana-3406	337	5	,	,	PUNCT
cana-3406	337	6	214–223	214–223	NUM
cana-3406	337	7	.	.	PUNCT
cana-3406	338	1	[	[	X
cana-3406	338	2	7	7	NUM
cana-3406	338	3	]	]	X
cana-3406	338	4	samala	samala	NOUN
cana-3406	338	5	,	,	PUNCT
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cana-3406	338	11	h.p	h.p	PROPN
cana-3406	338	12	.	.	PROPN
cana-3406	338	13	;	;	PUNCT
cana-3406	338	14	hadjiiski	hadjiiski	PROPN
cana-3406	338	15	,	,	PUNCT
cana-3406	338	16	l.m	l.m	PROPN
cana-3406	338	17	.	.	PROPN
cana-3406	338	18	;	;	PUNCT
cana-3406	338	19	cha	cha	PROPN
cana-3406	338	20	,	,	PUNCT
cana-3406	338	21	k.	k.	PROPN
cana-3406	338	22	;	;	PUNCT
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cana-3406	338	24	,	,	PUNCT
cana-3406	338	25	m.a	m.a	PROPN
cana-3406	338	26	.	.	PROPN
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cana-3406	338	28	-	-	PUNCT
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cana-3406	338	31	neural	neural	ADJ
cana-3406	338	32	network	network	NOUN
cana-3406	338	33	for	for	ADP
cana-3406	338	34	computer	computer	NOUN
cana-3406	338	35	-	-	PUNCT
cana-3406	338	36	aided	aid	VERB
cana-3406	338	37	detection	detection	NOUN
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cana-3406	338	39	microcalcifications	microcalcification	NOUN
cana-3406	338	40	in	in	ADP
cana-3406	338	41	digital	digital	ADJ
cana-3406	338	42	breast	breast	NOUN
cana-3406	338	43	tomosynthesis	tomosynthesis	NOUN
cana-3406	338	44	.	.	PUNCT
cana-3406	339	1	in	in	ADP
cana-3406	339	2	medical	medical	ADJ
cana-3406	339	3	imaging	imaging	NOUN
cana-3406	339	4	2016	2016	NUM
cana-3406	339	5	:	:	PUNCT
cana-3406	339	6	computeraided	computeraide	VERB
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cana-3406	339	8	;	;	PUNCT
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cana-3406	339	10	society	society	NOUN
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cana-3406	339	12	optics	optic	NOUN
cana-3406	339	13	and	and	CCONJ
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cana-3406	339	15	:	:	PUNCT
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cana-3406	339	18	wa	wa	PROPN
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cana-3406	339	23	;	;	PUNCT
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cana-3406	339	26	,	,	PUNCT
cana-3406	339	27	p.	p.	NOUN
cana-3406	339	28	97850y	97850y	NUM
cana-3406	339	29	.	.	PUNCT
cana-3406	340	1	[	[	X
cana-3406	340	2	8	8	NUM
cana-3406	340	3	]	]	SYM
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cana-3406	340	5	,	,	PUNCT
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cana-3406	340	7	;	;	PUNCT
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cana-3406	340	9	,	,	PUNCT
cana-3406	340	10	s.	s.	PROPN
cana-3406	340	11	;	;	PUNCT
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cana-3406	340	13	kumar	kumar	PROPN
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cana-3406	340	15	t.	t.	PROPN
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cana-3406	340	17	learning	learning	NOUN
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cana-3406	340	20	for	for	ADP
cana-3406	340	21	brc	brc	PROPN
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cana-3406	340	24	classification	classification	NOUN
cana-3406	340	25	.	.	PUNCT
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cana-3406	341	2	.	.	PUNCT
cana-3406	342	1	j.	j.	PROPN
cana-3406	342	2	imaging	imaging	PROPN
cana-3406	342	3	syst	syst	PROPN
cana-3406	342	4	.	.	PUNCT
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cana-3406	343	2	.	.	PUNCT
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cana-3406	343	8	.	.	PUNCT
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cana-3406	344	3	]	]	SYM
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cana-3406	349	2	–	–	PUNCT
cana-3406	349	3	696	696	NUM
cana-3406	349	4	,	,	PUNCT
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cana-3406	349	14	-	-	PUNCT
cana-3406	349	15	00306	00306	NUM
cana-3406	349	16	-	-	PUNCT
cana-3406	349	17	z.	z.	NOUN
cana-3406	350	1	[	[	X
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cana-3406	350	11	;	;	PUNCT
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cana-3406	350	14	,	,	PUNCT
cana-3406	350	15	b.	b.	PROPN
cana-3406	350	16	;	;	PUNCT
cana-3406	350	17	gubern	gubern	PROPN
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cana-3406	350	44	computer	computer	NOUN
cana-3406	350	45	aided	aid	VERB
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cana-3406	353	8	ren	ren	PROPN
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cana-3406	353	14	z.	z.	PROPN
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cana-3406	353	16	wang	wang	PROPN
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cana-3406	353	18	l.	l.	PROPN
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cana-3406	353	20	zhang	zhang	PROPN
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cana-3406	353	30	x.	x.	PROPN
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cana-3406	354	7	.	.	PUNCT
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cana-3406	355	2	13	13	NUM
cana-3406	355	3	]	]	X
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cana-3406	355	5	,	,	PUNCT
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cana-3406	355	7	;	;	PUNCT
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cana-3406	355	13	,	,	PUNCT
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cana-3406	355	41	.	.	PUNCT
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cana-3406	358	5	,	,	PUNCT
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cana-3406	358	7	.	.	PUNCT
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cana-3406	359	25	.	.	PUNCT
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cana-3406	362	2	,	,	PUNCT
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cana-3406	362	4	,	,	PUNCT
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cana-3406	362	6	.	.	PUNCT
cana-3406	363	1	[	[	X
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cana-3406	378	25	c.b	c.b	PROPN
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cana-3406	378	27	;	;	PUNCT
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cana-3406	378	33	liang	liang	PROPN
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cana-3406	378	36	convolutional	convolutional	ADJ
cana-3406	378	37	neural	neural	ADJ
cana-3406	378	38	networks	network	NOUN
cana-3406	378	39	for	for	ADP
cana-3406	378	40	medical	medical	ADJ
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cana-3406	378	42	analysis	analysis	NOUN
cana-3406	378	43	:	:	PUNCT
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cana-3406	378	48	tuning	tuning	NOUN
cana-3406	378	49	?	?	PUNCT
cana-3406	379	1	ieee	ieee	PROPN
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cana-3406	379	3	.	.	PROPN
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cana-3406	380	1	imaging	image	VERB
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cana-3406	380	3	,	,	PUNCT
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cana-3406	380	5	,	,	PUNCT
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cana-3406	380	7	.	.	PUNCT
cana-3406	381	1	[	[	X
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cana-3406	381	3	]	]	X
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cana-3406	381	16	m.s	m.s	PROPN
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cana-3406	381	19	smith	smith	PROPN
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cana-3406	381	30	diagnosis	diagnosis	NOUN
cana-3406	381	31	:	:	PUNCT
cana-3406	381	32	bridging	bridge	VERB
cana-3406	381	33	gaps	gap	NOUN
cana-3406	381	34	between	between	ADP
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cana-3406	381	38	decision	decision	NOUN
cana-3406	381	39	-	-	PUNCT
cana-3406	381	40	making	make	VERB
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cana-3406	382	1	appl	appl	PROPN
cana-3406	382	2	.	.	PUNCT
cana-3406	382	3	soft	soft	ADJ
cana-3406	382	4	comput	comput	NOUN
cana-3406	382	5	.	.	PUNCT
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cana-3406	383	2	,	,	PUNCT
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cana-3406	383	4	,	,	PUNCT
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cana-3406	383	6	–	–	SYM
cana-3406	383	7	120	120	NUM
cana-3406	383	8	.	.	PUNCT
cana-3406	384	1	[	[	X
cana-3406	384	2	22	22	NUM
cana-3406	384	3	]	]	X
cana-3406	384	4	becker	becker	NOUN
cana-3406	384	5	,	,	PUNCT
cana-3406	384	6	a.s	a.s	PROPN
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cana-3406	384	8	;	;	PUNCT
cana-3406	384	9	marcon	marcon	PROPN
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cana-3406	384	12	;	;	PUNCT
cana-3406	384	13	ghafoor	ghafoor	PROPN
cana-3406	384	14	,	,	PUNCT
cana-3406	384	15	s.	s.	PROPN
cana-3406	384	16	;	;	PUNCT
cana-3406	384	17	wurnig	wurnig	PROPN
cana-3406	384	18	,	,	PUNCT
cana-3406	384	19	m.c	m.c	PROPN
cana-3406	384	20	.	.	PROPN
cana-3406	384	21	;	;	PUNCT
cana-3406	384	22	frauenfelder	frauenfelder	NOUN
cana-3406	384	23	,	,	PUNCT
cana-3406	384	24	t.	t.	PROPN
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cana-3406	384	26	boss	boss	NOUN
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cana-3406	384	29	deep	deep	ADJ
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cana-3406	384	31	in	in	ADP
cana-3406	384	32	mammography	mammography	NOUN
cana-3406	384	33	:	:	PUNCT
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cana-3406	384	35	accuracy	accuracy	NOUN
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cana-3406	384	42	in	in	ADP
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cana-3406	384	48	.	.	PUNCT
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cana-3406	384	50	.	.	PUNCT
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cana-3406	385	2	,	,	PUNCT
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cana-3406	385	4	,	,	PUNCT
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cana-3406	385	6	.	.	PUNCT
cana-3406	386	1	[	[	X
cana-3406	386	2	23	23	NUM
cana-3406	386	3	]	]	PUNCT
cana-3406	386	4	rouhi	rouhi	NOUN
cana-3406	386	5	,	,	PUNCT
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cana-3406	386	17	,	,	PUNCT
cana-3406	386	18	p.	p.	NOUN
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cana-3406	386	20	and	and	CCONJ
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cana-3406	386	30	cnn	cnn	PROPN
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cana-3406	386	32	.	.	PUNCT
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cana-3406	388	1	appl	appl	PROPN
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cana-3406	389	2	,	,	PUNCT
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cana-3406	389	4	,	,	PUNCT
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cana-3406	389	6	.	.	PUNCT
cana-3406	390	1	[	[	X
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cana-3406	390	3	]	]	SYM
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cana-3406	390	7	;	;	PUNCT
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cana-3406	390	14	q.	q.	PROPN
cana-3406	390	15	;	;	PUNCT
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cana-3406	390	17	,	,	PUNCT
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cana-3406	390	19	;	;	PUNCT
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cana-3406	390	27	;	;	PUNCT
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cana-3406	390	34	(	(	PUNCT
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cana-3406	390	36	)	)	PUNCT
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cana-3406	390	43	histopathology	histopathology	NOUN
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cana-3406	390	45	.	.	PUNCT
cana-3406	391	1	ieee	ieee	PROPN
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cana-3406	392	8	.	.	PUNCT
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cana-3406	393	3	]	]	X
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cana-3406	393	13	;	;	PUNCT
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cana-3406	396	2	,	,	PUNCT
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cana-3406	396	6	.	.	PUNCT
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cana-3406	397	7	:	:	PUNCT
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cana-3406	399	21	histopathology	histopathology	NOUN
cana-3406	399	22	images	image	NOUN
cana-3406	399	23	using	use	VERB
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cana-3406	403	2	.	.	PUNCT
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cana-3406	406	1	[	[	X
cana-3406	406	2	27	27	NUM
cana-3406	406	3	]	]	X
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cana-3406	406	5	,	,	PUNCT
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cana-3406	406	8	;	;	PUNCT
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cana-3406	406	17	;	;	PUNCT
cana-3406	406	18	qin	qin	PROPN
cana-3406	406	19	,	,	PUNCT
cana-3406	406	20	j.	j.	PROPN
cana-3406	406	21	;	;	PUNCT
cana-3406	406	22	tiu	tiu	PROPN
cana-3406	406	23	,	,	PUNCT
cana-3406	406	24	c.m	c.m	PROPN
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cana-3406	406	26	;	;	PUNCT
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cana-3406	406	29	y.c	y.c	PROPN
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cana-3406	406	31	;	;	PUNCT
cana-3406	406	32	huang	huang	PROPN
cana-3406	406	33	,	,	PUNCT
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cana-3406	406	36	;	;	PUNCT
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cana-3406	406	40	;	;	PUNCT
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cana-3406	407	7	6	6	NUM
cana-3406	407	8	,	,	PUNCT
cana-3406	407	9	24454	24454	NUM
cana-3406	407	10	.	.	PUNCT
cana-3406	408	1	[	[	X
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cana-3406	408	3	]	]	X
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cana-3406	408	5	,	,	PUNCT
cana-3406	408	6	s.	s.	PROPN
cana-3406	408	7	;	;	PUNCT
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cana-3406	411	3	]	]	X
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cana-3406	411	6	t.	t.	PROPN
cana-3406	411	7	;	;	PUNCT
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cana-3406	411	9	,	,	PUNCT
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cana-3406	411	11	;	;	PUNCT
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cana-3406	411	13	ginneken	ginneken	PROPN
cana-3406	411	14	,	,	PUNCT
cana-3406	411	15	b.	b.	PROPN
cana-3406	411	16	;	;	PUNCT
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cana-3406	411	20	,	,	PUNCT
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cana-3406	411	22	;	;	PUNCT
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cana-3406	411	31	;	;	PUNCT
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cana-3406	411	36	;	;	PUNCT
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cana-3406	411	45	computer	computer	NOUN
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cana-3406	413	2	,	,	PUNCT
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cana-3406	413	4	,	,	PUNCT
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cana-3406	413	6	.	.	PUNCT
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cana-3406	414	3	]	]	X
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cana-3406	414	5	,	,	PUNCT
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cana-3406	414	7	;	;	PUNCT
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cana-3406	414	9	,	,	PUNCT
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cana-3406	414	11	;	;	PUNCT
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cana-3406	414	13	,	,	PUNCT
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cana-3406	414	15	;	;	PUNCT
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cana-3406	414	27	;	;	PUNCT
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cana-3406	414	31	;	;	PUNCT
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cana-3406	414	40	images	image	NOUN
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cana-3406	414	45	.	.	PUNCT
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cana-3406	415	4	,	,	PUNCT
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cana-3406	416	13	;	;	PUNCT
cana-3406	416	14	sim	sim	PROPN
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cana-3406	416	26	.	.	PUNCT
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cana-3406	419	2	,	,	PUNCT
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cana-3406	419	6	.	.	PUNCT
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cana-3406	420	23	;	;	PUNCT
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cana-3406	428	7	.	.	PUNCT
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cana-3406	433	2	,	,	PUNCT
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cana-3406	434	3	]	]	PUNCT
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cana-3406	437	2	,	,	PUNCT
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cana-3406	441	2	,	,	PUNCT
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cana-3406	442	16	;	;	PUNCT
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cana-3406	442	20	;	;	PUNCT
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cana-3406	442	22	,	,	PUNCT
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cana-3406	442	25	;	;	PUNCT
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cana-3406	442	29	;	;	PUNCT
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cana-3406	444	8	.	.	PUNCT
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cana-3406	445	3	]	]	SYM
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cana-3406	445	7	;	;	PUNCT
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cana-3406	445	43	.	.	PUNCT
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cana-3406	457	7	conference	conference	NOUN
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cana-3406	457	9	signal	signal	NOUN
cana-3406	457	10	,	,	PUNCT
cana-3406	457	11	image	image	NOUN
cana-3406	457	12	,	,	PUNCT
cana-3406	457	13	vision	vision	NOUN
cana-3406	457	14	and	and	CCONJ
cana-3406	457	15	their	their	PRON
cana-3406	457	16	applications	application	NOUN
cana-3406	457	17	(	(	PUNCT
cana-3406	457	18	siva	siva	NOUN
cana-3406	457	19	)	)	PUNCT
cana-3406	457	20	,	,	PUNCT
cana-3406	457	21	guelma	guelma	PROPN
cana-3406	457	22	,	,	PUNCT
cana-3406	457	23	algeria	algeria	PROPN
cana-3406	457	24	,	,	PUNCT
cana-3406	457	25	26–27	26–27	PROPN
cana-3406	457	26	november	november	PROPN
cana-3406	457	27	,	,	PUNCT
cana-3406	457	28	2018	2018	NUM
cana-3406	457	29	;	;	PUNCT
cana-3406	457	30	pp	pp	ADP
cana-3406	457	31	.	.	PUNCT
cana-3406	458	1	1–4	1–4	PROPN
cana-3406	458	2	.	.	PROPN
cana-3406	458	3	88	88	NUM
cana-3406	458	4	.	.	PUNCT
cana-3406	459	1	[	[	X
cana-3406	459	2	45	45	NUM
cana-3406	459	3	]	]	X
cana-3406	459	4	wang	wang	PROPN
cana-3406	459	5	,	,	PUNCT
cana-3406	459	6	p.	p.	PROPN
cana-3406	459	7	;	;	PUNCT
cana-3406	459	8	song	song	PROPN
cana-3406	459	9	,	,	PUNCT
cana-3406	459	10	q.	q.	PROPN
cana-3406	459	11	;	;	PUNCT
cana-3406	459	12	li	li	PROPN
cana-3406	459	13	,	,	PUNCT
cana-3406	459	14	y.	y.	PROPN
cana-3406	459	15	;	;	PUNCT
cana-3406	459	16	lv	lv	PROPN
cana-3406	459	17	,	,	PUNCT
cana-3406	459	18	s.	s.	PROPN
cana-3406	459	19	;	;	PUNCT
cana-3406	459	20	wang	wang	PROPN
cana-3406	459	21	,	,	PUNCT
cana-3406	459	22	j.	j.	PROPN
cana-3406	459	23	;	;	PUNCT
cana-3406	459	24	li	li	PROPN
cana-3406	459	25	,	,	PUNCT
cana-3406	459	26	l.	l.	PROPN
cana-3406	459	27	;	;	PUNCT
cana-3406	459	28	zhang	zhang	PROPN
cana-3406	459	29	,	,	PUNCT
cana-3406	459	30	h.	h.	PROPN
cana-3406	459	31	cross	cross	PROPN
cana-3406	459	32	-	-	PROPN
cana-3406	459	33	task	task	ADJ
cana-3406	459	34	extreme	extreme	ADJ
cana-3406	459	35	learning	learning	NOUN
cana-3406	459	36	machine	machine	NOUN
cana-3406	459	37	for	for	ADP
cana-3406	459	38	breast	breast	NOUN
cana-3406	459	39	cancer	cancer	NOUN
cana-3406	459	40	image	image	NOUN
cana-3406	459	41	classification	classification	NOUN
cana-3406	459	42	with	with	ADP
cana-3406	459	43	deep	deep	ADJ
cana-3406	459	44	convolutional	convolutional	ADJ
cana-3406	459	45	features	feature	NOUN
cana-3406	459	46	.	.	PUNCT
cana-3406	459	47	biomed	biome	VERB
cana-3406	459	48	.	.	PUNCT
cana-3406	460	1	signal	signal	ADJ
cana-3406	460	2	process	process	NOUN
cana-3406	460	3	.	.	PUNCT
cana-3406	461	1	control	control	NOUN
cana-3406	461	2	2020	2020	NUM
cana-3406	461	3	,	,	PUNCT
cana-3406	461	4	57	57	NUM
cana-3406	461	5	,	,	PUNCT
cana-3406	461	6	101789	101789	NUM
cana-3406	461	7	.	.	PUNCT
cana-3406	462	1	[	[	X
cana-3406	462	2	46	46	NUM
cana-3406	462	3	]	]	X
cana-3406	462	4	muduli	muduli	PROPN
cana-3406	462	5	,	,	PUNCT
cana-3406	462	6	d.	d.	PROPN
cana-3406	462	7	;	;	PUNCT
cana-3406	462	8	dash	dash	NOUN
cana-3406	462	9	,	,	PUNCT
cana-3406	462	10	r.	r.	PROPN
cana-3406	462	11	;	;	PUNCT
cana-3406	462	12	majhi	majhi	PROPN
cana-3406	462	13	,	,	PUNCT
cana-3406	462	14	b.	b.	PROPN
cana-3406	462	15	automated	automate	VERB
cana-3406	462	16	breast	breast	NOUN
cana-3406	462	17	cancer	cancer	NOUN
cana-3406	462	18	detection	detection	NOUN
cana-3406	462	19	in	in	ADP
cana-3406	462	20	digital	digital	ADJ
cana-3406	462	21	mammograms	mammogram	NOUN
cana-3406	462	22	:	:	PUNCT
cana-3406	462	23	a	a	DET
cana-3406	462	24	moth	moth	NOUN
cana-3406	462	25	flame	flame	NOUN
cana-3406	462	26	optimization	optimization	NOUN
cana-3406	462	27	-	-	PUNCT
cana-3406	462	28	based	base	VERB
cana-3406	462	29	elm	elm	NOUN
cana-3406	462	30	approach	approach	NOUN
cana-3406	462	31	.	.	PUNCT
cana-3406	463	1	biomed	biome	VERB
cana-3406	463	2	.	.	PUNCT
cana-3406	464	1	signal	signal	ADJ
cana-3406	464	2	process	process	NOUN
cana-3406	464	3	.	.	PUNCT
cana-3406	465	1	control	control	NOUN
cana-3406	465	2	2020	2020	NUM
cana-3406	465	3	,	,	PUNCT
cana-3406	465	4	59	59	NUM
cana-3406	465	5	,	,	PUNCT
cana-3406	465	6	101912	101912	NUM
cana-3406	465	7	.	.	PUNCT
cana-3406	466	1	[	[	X
cana-3406	466	2	47	47	NUM
cana-3406	466	3	]	]	X
cana-3406	466	4	chougrad	chougrad	NOUN
cana-3406	466	5	,	,	PUNCT
cana-3406	466	6	h.	h.	PROPN
cana-3406	466	7	;	;	PUNCT
cana-3406	466	8	zouaki	zouaki	X
cana-3406	466	9	,	,	PUNCT
cana-3406	466	10	h.	h.	PROPN
cana-3406	466	11	;	;	PUNCT
cana-3406	466	12	alheyane	alheyane	ADJ
cana-3406	466	13	,	,	PUNCT
cana-3406	466	14	o.	o.	NOUN
cana-3406	466	15	deep	deep	ADJ
cana-3406	466	16	convolutional	convolutional	ADJ
cana-3406	466	17	neural	neural	ADJ
cana-3406	466	18	networks	network	NOUN
cana-3406	466	19	for	for	ADP
cana-3406	466	20	brc	brc	NOUN
cana-3406	466	21	screening	screening	NOUN
cana-3406	466	22	.	.	PUNCT
cana-3406	467	1	comput	comput	NOUN
cana-3406	467	2	.	.	PUNCT
cana-3406	468	1	methods	method	NOUN
cana-3406	468	2	programs	program	NOUN
cana-3406	468	3	biomed	biome	VERB
cana-3406	468	4	.	.	PUNCT
cana-3406	469	1	2018	2018	NUM
cana-3406	469	2	,	,	PUNCT
cana-3406	469	3	157	157	NUM
cana-3406	469	4	,	,	PUNCT
cana-3406	469	5	19–30	19–30	NUM
cana-3406	469	6	.	.	PUNCT
cana-3406	470	1	communications	communication	NOUN
cana-3406	470	2	on	on	ADP
cana-3406	470	3	applied	apply	VERB
cana-3406	470	4	nonlinear	nonlinear	ADJ
cana-3406	470	5	analysis	analysis	NOUN
cana-3406	470	6	issn	issn	NOUN
cana-3406	470	7	:	:	PUNCT
cana-3406	470	8	1074	1074	NUM
cana-3406	470	9	-	-	PUNCT
cana-3406	470	10	133x	133x	NUM
cana-3406	470	11	vol	vol	NOUN
cana-3406	470	12	32	32	NUM
cana-3406	470	13	no	no	NOUN
cana-3406	470	14	.	.	PUNCT
cana-3406	471	1	7s	7	NOUN
cana-3406	471	2	(	(	PUNCT
cana-3406	471	3	2025	2025	NUM
cana-3406	471	4	)	)	PUNCT
cana-3406	471	5	320	320	NUM
cana-3406	471	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3406	472	1	[	[	X
cana-3406	472	2	48	48	NUM
cana-3406	472	3	]	]	X
cana-3406	472	4	lee	lee	PROPN
cana-3406	472	5	,	,	PUNCT
cana-3406	472	6	r.s	r.s	PROPN
cana-3406	472	7	.	.	PROPN
cana-3406	472	8	;	;	PUNCT
cana-3406	472	9	gimenez	gimenez	PROPN
cana-3406	472	10	,	,	PUNCT
cana-3406	472	11	f.	f.	PROPN
cana-3406	472	12	;	;	PUNCT
cana-3406	472	13	hoogi	hoogi	PROPN
cana-3406	472	14	,	,	PUNCT
cana-3406	472	15	a.	a.	PROPN
cana-3406	472	16	;	;	PUNCT
cana-3406	472	17	miyake	miyake	PROPN
cana-3406	472	18	,	,	PUNCT
cana-3406	472	19	k.k	k.k	PROPN
cana-3406	472	20	.	.	PROPN
cana-3406	472	21	;	;	PUNCT
cana-3406	472	22	gorovoy	gorovoy	NOUN
cana-3406	472	23	,	,	PUNCT
cana-3406	472	24	m.	m.	NOUN
cana-3406	472	25	;	;	PUNCT
cana-3406	472	26	rubin	rubin	PROPN
cana-3406	472	27	,	,	PUNCT
cana-3406	472	28	d.l	d.l	PROPN
cana-3406	472	29	.	.	PROPN
cana-3406	472	30	a	a	DET
cana-3406	472	31	curated	curate	VERB
cana-3406	472	32	mammography	mammography	NOUN
cana-3406	472	33	data	datum	NOUN
cana-3406	472	34	set	set	VERB
cana-3406	472	35	for	for	ADP
cana-3406	472	36	use	use	NOUN
cana-3406	472	37	in	in	ADP
cana-3406	472	38	computer	computer	NOUN
cana-3406	472	39	-	-	PUNCT
cana-3406	472	40	aided	aid	VERB
cana-3406	472	41	detection	detection	NOUN
cana-3406	472	42	and	and	CCONJ
cana-3406	472	43	diagnosis	diagnosis	NOUN
cana-3406	472	44	research	research	NOUN
cana-3406	472	45	.	.	PUNCT
cana-3406	473	1	sci	sci	PROPN
cana-3406	473	2	.	.	PROPN
cana-3406	473	3	data	data	PROPN
cana-3406	473	4	2017	2017	NUM
cana-3406	473	5	,	,	PUNCT
cana-3406	473	6	4	4	NUM
cana-3406	473	7	,	,	PUNCT
cana-3406	473	8	170177	170177	NUM
cana-3406	473	9	.	.	PUNCT
cana-3406	474	1	[	[	X
cana-3406	474	2	49	49	NUM
cana-3406	474	3	]	]	PUNCT
cana-3406	474	4	suckling	suckling	NOUN
cana-3406	474	5	,	,	PUNCT
cana-3406	474	6	j.	j.	PROPN
cana-3406	474	7	;	;	PUNCT
cana-3406	474	8	parker	parker	PROPN
cana-3406	474	9	,	,	PUNCT
cana-3406	474	10	j.	j.	PROPN
cana-3406	474	11	;	;	PUNCT
cana-3406	474	12	dance	dance	PROPN
cana-3406	474	13	,	,	PUNCT
cana-3406	474	14	d.	d.	PROPN
cana-3406	474	15	;	;	PUNCT
cana-3406	474	16	astley	astley	PROPN
cana-3406	474	17	,	,	PUNCT
cana-3406	474	18	s.	s.	PROPN
cana-3406	474	19	;	;	PUNCT
cana-3406	474	20	hutt	hutt	PROPN
cana-3406	474	21	,	,	PUNCT
cana-3406	474	22	i.	i.	PROPN
cana-3406	474	23	;	;	PUNCT
cana-3406	474	24	boggis	boggis	ADJ
cana-3406	474	25	,	,	PUNCT
cana-3406	474	26	c.	c.	PROPN
cana-3406	474	27	;	;	PUNCT
cana-3406	474	28	ricketts	rickett	NOUN
cana-3406	474	29	,	,	PUNCT
cana-3406	474	30	i.	i.	PROPN
cana-3406	474	31	;	;	PUNCT
cana-3406	474	32	stamatakis	stamatakis	PROPN
cana-3406	474	33	,	,	PUNCT
cana-3406	474	34	e.	e.	PROPN
cana-3406	474	35	;	;	PUNCT
cana-3406	474	36	cerneaz	cerneaz	PROPN
cana-3406	474	37	,	,	PUNCT
cana-3406	474	38	n.	n.	PROPN
cana-3406	474	39	;	;	PUNCT
cana-3406	474	40	kok	kok	PROPN
cana-3406	474	41	,	,	PUNCT
cana-3406	474	42	s.	s.	PROPN
cana-3406	474	43	;	;	PUNCT
cana-3406	474	44	et	et	PROPN
cana-3406	474	45	al	al	PROPN
cana-3406	474	46	.	.	PROPN
cana-3406	474	47	mammographic	mammographic	ADJ
cana-3406	474	48	image	image	NOUN
cana-3406	474	49	analysis	analysis	NOUN
cana-3406	474	50	society	society	NOUN
cana-3406	474	51	(	(	PUNCT
cana-3406	474	52	mias	mias	PROPN
cana-3406	474	53	)	)	PUNCT
cana-3406	474	54	database	database	PROPN
cana-3406	474	55	v1.21	v1.21	PROPN
cana-3406	474	56	.	.	PROPN
cana-3406	474	57	2015	2015	NUM
cana-3406	474	58	.	.	PUNCT
cana-3406	475	1	available	available	ADJ
cana-3406	475	2	online	online	ADV
cana-3406	475	3	:	:	PUNCT
cana-3406	475	4	https://www.repository.cam.ac.uk/	https://www.repository.cam.ac.uk/	VERB
cana-3406	475	5	handle/1810/250394	handle/1810/250394	NOUN
cana-3406	475	6	.	.	PUNCT
cana-3406	476	1	[	[	X
cana-3406	476	2	50	50	NUM
cana-3406	476	3	]	]	SYM
cana-3406	476	4	clark	clark	NOUN
cana-3406	476	5	,	,	PUNCT
cana-3406	476	6	k.	k.	PROPN
cana-3406	476	7	;	;	PUNCT
cana-3406	476	8	vendt	vendt	PROPN
cana-3406	476	9	,	,	PUNCT
cana-3406	476	10	b.	b.	PROPN
cana-3406	476	11	;	;	PUNCT
cana-3406	476	12	smith	smith	PROPN
cana-3406	476	13	,	,	PUNCT
cana-3406	476	14	k.	k.	PROPN
cana-3406	476	15	;	;	PUNCT
cana-3406	476	16	freymann	freymann	PROPN
cana-3406	476	17	,	,	PUNCT
cana-3406	476	18	j.	j.	PROPN
cana-3406	476	19	;	;	PUNCT
cana-3406	476	20	kirby	kirby	PROPN
cana-3406	476	21	,	,	PUNCT
cana-3406	476	22	j.	j.	PROPN
cana-3406	476	23	;	;	PUNCT
cana-3406	476	24	koppel	koppel	PROPN
cana-3406	476	25	,	,	PUNCT
cana-3406	476	26	p.	p.	PROPN
cana-3406	476	27	;	;	PUNCT
cana-3406	476	28	moore	moore	PROPN
cana-3406	476	29	,	,	PUNCT
cana-3406	476	30	s.	s.	PROPN
cana-3406	476	31	;	;	PUNCT
cana-3406	476	32	phillips	phillips	PROPN
cana-3406	476	33	,	,	PUNCT
cana-3406	476	34	s.	s.	PROPN
cana-3406	476	35	;	;	PUNCT
cana-3406	476	36	maffitt	maffitt	VERB
cana-3406	476	37	,	,	PUNCT
cana-3406	476	38	d.	d.	PROPN
cana-3406	476	39	;	;	PUNCT
cana-3406	476	40	pringle	pringle	PROPN
cana-3406	476	41	,	,	PUNCT
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cana-3406	476	43	;	;	PUNCT
cana-3406	476	44	et	et	PROPN
cana-3406	476	45	al	al	PROPN
cana-3406	476	46	.	.	PUNCT
cana-3406	477	1	the	the	DET
cana-3406	477	2	cancer	cancer	NOUN
cana-3406	477	3	imaging	imaging	NOUN
cana-3406	477	4	archive	archive	NOUN
cana-3406	477	5	(	(	PUNCT
cana-3406	477	6	tcia	tcia	NOUN
cana-3406	477	7	):	):	PUNCT
cana-3406	477	8	maintaining	maintain	VERB
cana-3406	477	9	and	and	CCONJ
cana-3406	477	10	operating	operate	VERB
cana-3406	477	11	a	a	DET
cana-3406	477	12	public	public	ADJ
cana-3406	477	13	information	information	NOUN
cana-3406	477	14	repository	repository	NOUN
cana-3406	477	15	.	.	PUNCT
cana-3406	478	1	j.	j.	PROPN
cana-3406	478	2	digit	digit	PROPN
cana-3406	478	3	.	.	PUNCT
cana-3406	479	1	imaging	imaging	NOUN
cana-3406	479	2	2013	2013	NUM
cana-3406	479	3	,	,	PUNCT
cana-3406	479	4	26	26	NUM
cana-3406	479	5	,	,	PUNCT
cana-3406	479	6	1045–1057	1045–1057	NUM
cana-3406	479	7	.	.	PUNCT
cana-3406	480	1	[	[	X
cana-3406	480	2	51	51	NUM
cana-3406	480	3	]	]	X
cana-3406	480	4	spanhol	spanhol	ADJ
cana-3406	480	5	,	,	PUNCT
cana-3406	480	6	f.a	f.a	PROPN
cana-3406	480	7	.	.	PROPN
cana-3406	480	8	;	;	PUNCT
cana-3406	480	9	oliveira	oliveira	PROPN
cana-3406	480	10	,	,	PUNCT
cana-3406	480	11	l.s	l.s	PROPN
cana-3406	480	12	.	.	PROPN
cana-3406	480	13	;	;	PUNCT
cana-3406	480	14	petitjean	petitjean	PROPN
cana-3406	480	15	,	,	PUNCT
cana-3406	480	16	c.	c.	NOUN
cana-3406	480	17	;	;	PUNCT
cana-3406	480	18	heutte	heutte	PROPN
cana-3406	480	19	,	,	PUNCT
cana-3406	480	20	l.	l.	PROPN
cana-3406	480	21	a	a	DET
cana-3406	480	22	dataset	dataset	NOUN
cana-3406	480	23	for	for	ADP
cana-3406	480	24	breast	breast	NOUN
cana-3406	480	25	cancer	cancer	NOUN
cana-3406	480	26	histopathological	histopathological	ADJ
cana-3406	480	27	image	image	NOUN
cana-3406	480	28	classification	classification	NOUN
cana-3406	480	29	.	.	PUNCT
cana-3406	481	1	ieee	ieee	PROPN
cana-3406	481	2	trans	trans	PROPN
cana-3406	481	3	.	.	PROPN
cana-3406	481	4	biomed	biome	VERB
cana-3406	481	5	.	.	PUNCT
cana-3406	482	1	eng	eng	PROPN
cana-3406	482	2	.	.	PROPN
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cana-3406	482	4	,	,	PUNCT
cana-3406	482	5	63	63	NUM
cana-3406	482	6	,	,	PUNCT
cana-3406	482	7	1455–1462	1455–1462	NUM
cana-3406	482	8	.	.	PUNCT
cana-3406	483	1	[	[	X
cana-3406	483	2	crossref	crossref	X
cana-3406	483	3	]	]	X
cana-3406	483	4	[	[	X
cana-3406	483	5	52	52	NUM
cana-3406	483	6	]	]	X
cana-3406	483	7	wolberg	wolberg	PROPN
cana-3406	483	8	,	,	PUNCT
cana-3406	483	9	w.h	w.h	PROPN
cana-3406	483	10	.	.	PROPN
cana-3406	483	11	;	;	PUNCT
cana-3406	483	12	street	street	PROPN
cana-3406	483	13	,	,	PUNCT
cana-3406	483	14	w.n	w.n	PROPN
cana-3406	483	15	.	.	PROPN
cana-3406	483	16	;	;	PUNCT
cana-3406	483	17	mangasarian	mangasarian	PROPN
cana-3406	483	18	,	,	PUNCT
cana-3406	483	19	o.l	o.l	PROPN
cana-3406	483	20	.	.	PROPN
cana-3406	483	21	breast	breast	PROPN
cana-3406	483	22	cytology	cytology	NOUN
cana-3406	483	23	diagnosis	diagnosis	NOUN
cana-3406	483	24	via	via	ADP
cana-3406	483	25	digital	digital	ADJ
cana-3406	483	26	image	image	NOUN
cana-3406	483	27	analysis	analysis	NOUN
cana-3406	483	28	.	.	PUNCT
cana-3406	484	1	anal	anal	ADJ
cana-3406	484	2	.	.	PUNCT
cana-3406	484	3	quant	quant	PROPN
cana-3406	484	4	.	.	PUNCT
cana-3406	485	1	cytol	cytol	NOUN
cana-3406	485	2	.	.	PUNCT
cana-3406	486	1	histol	histol	PROPN
cana-3406	486	2	.	.	PUNCT
cana-3406	487	1	1993	1993	NUM
cana-3406	487	2	,	,	PUNCT
cana-3406	487	3	15	15	NUM
cana-3406	487	4	,	,	PUNCT
cana-3406	487	5	396–404	396–404	NUM
cana-3406	487	6	.	.	PUNCT
cana-3406	488	1	[	[	X
cana-3406	488	2	pubmed	pubmed	X
cana-3406	488	3	]	]	X
cana-3406	489	1	[	[	X
cana-3406	489	2	53	53	NUM
cana-3406	489	3	]	]	X
cana-3406	489	4	dua	dua	PROPN
cana-3406	489	5	,	,	PUNCT
cana-3406	489	6	d.	d.	PROPN
cana-3406	489	7	;	;	PUNCT
cana-3406	489	8	graff	graff	PROPN
cana-3406	489	9	,	,	PUNCT
cana-3406	489	10	c.	c.	PROPN
cana-3406	489	11	uci	uci	PROPN
cana-3406	489	12	machine	machine	NOUN
cana-3406	489	13	learning	learn	VERB
cana-3406	489	14	repository	repository	NOUN
cana-3406	489	15	;	;	PUNCT
cana-3406	489	16	university	university	NOUN
cana-3406	489	17	of	of	ADP
cana-3406	489	18	california	california	PROPN
cana-3406	489	19	:	:	PUNCT
cana-3406	489	20	irvine	irvine	PROPN
cana-3406	489	21	,	,	PUNCT
cana-3406	489	22	ca	ca	PROPN
cana-3406	489	23	,	,	PUNCT
cana-3406	489	24	usa	usa	PROPN
cana-3406	489	25	,	,	PUNCT
cana-3406	489	26	2017	2017	NUM
cana-3406	489	27	.	.	PUNCT
cana-3406	490	1	[	[	X
cana-3406	490	2	54	54	NUM
cana-3406	490	3	]	]	SYM
cana-3406	490	4	kumar	kumar	PROPN
cana-3406	490	5	,	,	PUNCT
cana-3406	490	6	a.	a.	PROPN
cana-3406	490	7	;	;	PUNCT
cana-3406	490	8	singh	singh	PROPN
cana-3406	490	9	,	,	PUNCT
cana-3406	490	10	s.k	s.k	PROPN
cana-3406	490	11	.	.	PROPN
cana-3406	490	12	;	;	PUNCT
cana-3406	490	13	saxena	saxena	PROPN
cana-3406	490	14	,	,	PUNCT
cana-3406	490	15	s.	s.	PROPN
cana-3406	490	16	;	;	PUNCT
cana-3406	490	17	lakshmanan	lakshmanan	PROPN
cana-3406	490	18	,	,	PUNCT
cana-3406	490	19	k.	k.	PROPN
cana-3406	490	20	;	;	PUNCT
cana-3406	490	21	sangaiah	sangaiah	PROPN
cana-3406	490	22	,	,	PUNCT
cana-3406	490	23	a.k	a.k	PROPN
cana-3406	490	24	.	.	PROPN
cana-3406	490	25	;	;	PUNCT
cana-3406	490	26	chauhan	chauhan	PROPN
cana-3406	490	27	,	,	PUNCT
cana-3406	490	28	h.	h.	PROPN
cana-3406	490	29	;	;	PUNCT
cana-3406	490	30	shrivastava	shrivastava	PROPN
cana-3406	490	31	,	,	PUNCT
cana-3406	490	32	s.	s.	PROPN
cana-3406	490	33	;	;	PUNCT
cana-3406	490	34	singh	singh	PROPN
cana-3406	490	35	,	,	PUNCT
cana-3406	490	36	r.k	r.k	PROPN
cana-3406	490	37	.	.	PROPN
cana-3406	490	38	deep	deep	ADJ
cana-3406	490	39	feature	feature	NOUN
cana-3406	490	40	learning	learn	VERB
cana-3406	490	41	for	for	ADP
cana-3406	490	42	histopathological	histopathological	ADJ
cana-3406	490	43	image	image	NOUN
cana-3406	490	44	classification	classification	NOUN
cana-3406	490	45	of	of	ADP
cana-3406	490	46	canine	canine	ADJ
cana-3406	490	47	mammary	mammary	ADJ
cana-3406	490	48	tumors	tumor	NOUN
cana-3406	490	49	and	and	CCONJ
cana-3406	490	50	human	human	PROPN
cana-3406	490	51	brc	brc	PROPN
cana-3406	490	52	.	.	PUNCT
cana-3406	491	1	inf	inf	PROPN
cana-3406	491	2	.	.	PUNCT
cana-3406	492	1	sci	sci	PROPN
cana-3406	492	2	.	.	PROPN
cana-3406	492	3	2020	2020	NUM
cana-3406	492	4	,	,	PUNCT
cana-3406	492	5	508	508	NUM
cana-3406	492	6	,	,	PUNCT
cana-3406	492	7	405–421	405–421	NUM
cana-3406	492	8	.	.	PUNCT
cana-3406	493	1	[	[	X
cana-3406	493	2	55	55	NUM
cana-3406	493	3	]	]	PUNCT
cana-3406	493	4	.	.	PUNCT
cana-3406	494	1	to	to	PART
cana-3406	494	2	˘gaçar	˘gaçar	VERB
cana-3406	494	3	,	,	PUNCT
cana-3406	494	4	m.	m.	NOUN
cana-3406	494	5	;	;	PUNCT
cana-3406	494	6	özkurt	özkurt	PROPN
cana-3406	494	7	,	,	PUNCT
cana-3406	494	8	k.b	k.b	PROPN
cana-3406	494	9	.	.	PROPN
cana-3406	494	10	;	;	PUNCT
cana-3406	494	11	ergen	ergen	PROPN
cana-3406	494	12	,	,	PUNCT
cana-3406	494	13	b.	b.	PROPN
cana-3406	494	14	;	;	PUNCT
cana-3406	494	15	cömert	cömert	PROPN
cana-3406	494	16	,	,	PUNCT
cana-3406	494	17	z.	z.	PROPN
cana-3406	494	18	breastnet	breastnet	PROPN
cana-3406	494	19	:	:	PUNCT
cana-3406	494	20	a	a	DET
cana-3406	494	21	novel	novel	ADJ
cana-3406	494	22	convolutional	convolutional	ADJ
cana-3406	494	23	neural	neural	ADJ
cana-3406	494	24	network	network	NOUN
cana-3406	494	25	model	model	NOUN
cana-3406	494	26	through	through	ADP
cana-3406	494	27	histopathological	histopathological	ADJ
cana-3406	494	28	images	image	NOUN
cana-3406	494	29	for	for	ADP
cana-3406	494	30	the	the	DET
cana-3406	494	31	diagnosis	diagnosis	NOUN
cana-3406	494	32	of	of	ADP
cana-3406	494	33	brc	brc	NOUN
cana-3406	494	34	.	.	PUNCT
cana-3406	495	1	phys	phy	NOUN
cana-3406	495	2	.	.	PUNCT
cana-3406	496	1	stat	stat	PROPN
cana-3406	496	2	.	.	PUNCT
cana-3406	497	1	mech	mech	PROPN
cana-3406	497	2	.	.	PUNCT
cana-3406	498	1	appl	appl	PROPN
cana-3406	498	2	.	.	PUNCT
cana-3406	499	1	2020	2020	NUM
cana-3406	499	2	,	,	PUNCT
cana-3406	499	3	545	545	NUM
cana-3406	499	4	,	,	PUNCT
cana-3406	499	5	123592	123592	NUM
cana-3406	499	6	.	.	PUNCT
cana-3406	500	1	[	[	X
cana-3406	500	2	56	56	NUM
cana-3406	500	3	]	]	PUNCT
cana-3406	500	4	.	.	PUNCT
cana-3406	501	1	b.	b.	PROPN
cana-3406	501	2	harrison	harrison	PROPN
cana-3406	501	3	,	,	PUNCT
cana-3406	501	4	“	"	PUNCT
cana-3406	501	5	update	update	NOUN
cana-3406	501	6	on	on	ADP
cana-3406	501	7	sentinel	sentinel	ADJ
cana-3406	501	8	node	node	ADJ
cana-3406	501	9	pathology	pathology	NOUN
cana-3406	501	10	in	in	ADP
cana-3406	501	11	brc	brc	PROPN
cana-3406	501	12	,	,	PUNCT
cana-3406	501	13	”	"	PUNCT
cana-3406	501	14	semin	semin	PROPN
cana-3406	501	15	diagn	diagn	PROPN
cana-3406	501	16	pathol	pathol	PROPN
cana-3406	501	17	,	,	PUNCT
cana-3406	501	18	vol	vol	NOUN
cana-3406	501	19	.	.	PROPN
cana-3406	501	20	39	39	NUM
cana-3406	501	21	,	,	PUNCT
cana-3406	501	22	no	no	INTJ
cana-3406	501	23	.	.	NOUN
cana-3406	501	24	5	5	NUM
cana-3406	501	25	,	,	PUNCT
cana-3406	501	26	pp	pp	ADJ
cana-3406	501	27	.	.	PUNCT
cana-3406	502	1	355–366	355–366	NUM
cana-3406	502	2	,	,	PUNCT
cana-3406	502	3	2022	2022	NUM
cana-3406	502	4	.	.	PUNCT
cana-3406	503	1	[	[	X
cana-3406	503	2	57	57	NUM
cana-3406	503	3	]	]	PUNCT
cana-3406	503	4	.	.	PUNCT
cana-3406	504	1	j.	j.	PROPN
cana-3406	504	2	sun	sun	PROPN
cana-3406	504	3	et	et	PROPN
cana-3406	504	4	al	al	PROPN
cana-3406	504	5	.	.	PROPN
cana-3406	504	6	,	,	PUNCT
cana-3406	504	7	“	"	PUNCT
cana-3406	504	8	artificial	artificial	ADJ
cana-3406	504	9	intelligence	intelligence	NOUN
cana-3406	504	10	in	in	ADP
cana-3406	504	11	psychiatry	psychiatry	NOUN
cana-3406	504	12	research	research	NOUN
cana-3406	504	13	,	,	PUNCT
cana-3406	504	14	diagnosis	diagnosis	NOUN
cana-3406	504	15	,	,	PUNCT
cana-3406	504	16	and	and	CCONJ
cana-3406	504	17	therapy	therapy	NOUN
cana-3406	504	18	,	,	PUNCT
cana-3406	504	19	”	"	PUNCT
cana-3406	504	20	asian	asian	PROPN
cana-3406	504	21	j	j	PROPN
cana-3406	504	22	psychiatr	psychiatr	PROPN
cana-3406	504	23	,	,	PUNCT
cana-3406	504	24	vol	vol	NOUN
cana-3406	504	25	.	.	PROPN
cana-3406	504	26	87	87	NUM
cana-3406	504	27	,	,	PUNCT
cana-3406	504	28	p.	p.	NOUN
cana-3406	504	29	103705	103705	NUM
cana-3406	504	30	,	,	PUNCT
cana-3406	504	31	2023	2023	NUM
cana-3406	504	32	.	.	PUNCT
cana-3406	505	1	[	[	X
cana-3406	505	2	58	58	NUM
cana-3406	505	3	]	]	PUNCT
cana-3406	505	4	.	.	PUNCT
cana-3406	506	1	j.	j.	PROPN
cana-3406	506	2	zhang	zhang	PROPN
cana-3406	506	3	,	,	PUNCT
cana-3406	506	4	j.	j.	PROPN
cana-3406	506	5	wu	wu	PROPN
cana-3406	506	6	,	,	PUNCT
cana-3406	506	7	x.	x.	PROPN
cana-3406	506	8	s.	s.	PROPN
cana-3406	506	9	zhou	zhou	PROPN
cana-3406	506	10	,	,	PUNCT
cana-3406	506	11	f.	f.	PROPN
cana-3406	506	12	shi	shi	PROPN
cana-3406	506	13	,	,	PUNCT
cana-3406	506	14	and	and	CCONJ
cana-3406	506	15	d.	d.	PROPN
cana-3406	506	16	shen	shen	PROPN
cana-3406	506	17	,	,	PUNCT
cana-3406	506	18	“	"	PUNCT
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cana-3406	506	21	in	in	ADP
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cana-3406	506	23	intelligence	intelligence	NOUN
cana-3406	506	24	for	for	ADP
cana-3406	506	25	brc	brc	NOUN
cana-3406	506	26	:	:	PUNCT
cana-3406	506	27	image	image	NOUN
cana-3406	506	28	augmentation	augmentation	NOUN
cana-3406	506	29	,	,	PUNCT
cana-3406	506	30	segmentation	segmentation	NOUN
cana-3406	506	31	,	,	PUNCT
cana-3406	506	32	diagnosis	diagnosis	NOUN
cana-3406	506	33	,	,	PUNCT
cana-3406	506	34	and	and	CCONJ
cana-3406	506	35	prognosis	prognosis	NOUN
cana-3406	506	36	approaches	approach	NOUN
cana-3406	506	37	,	,	PUNCT
cana-3406	506	38	”	"	PUNCT
cana-3406	506	39	semin	semin	PROPN
cana-3406	506	40	cancer	cancer	PROPN
cana-3406	506	41	biol	biol	PROPN
cana-3406	506	42	,	,	PUNCT
cana-3406	506	43	2023	2023	NUM
cana-3406	506	44	.	.	PUNCT
cana-3406	507	1	[	[	X
cana-3406	507	2	59	59	NUM
cana-3406	507	3	]	]	PUNCT
cana-3406	507	4	.	.	PUNCT
cana-3406	507	5	a.	a.	PROPN
cana-3406	507	6	b.	b.	PROPN
cana-3406	507	7	bagheri	bagheri	PROPN
cana-3406	507	8	et	et	PROPN
cana-3406	507	9	al	al	PROPN
cana-3406	507	10	.	.	PROPN
cana-3406	507	11	,	,	PUNCT
cana-3406	507	12	“	"	PUNCT
cana-3406	507	13	potential	potential	ADJ
cana-3406	507	14	applications	application	NOUN
cana-3406	507	15	of	of	ADP
cana-3406	507	16	artificial	artificial	ADJ
cana-3406	507	17	intelligence	intelligence	NOUN
cana-3406	507	18	and	and	CCONJ
cana-3406	507	19	ml	ml	X
cana-3406	507	20	on	on	ADP
cana-3406	507	21	diagnosis	diagnosis	NOUN
cana-3406	507	22	,	,	PUNCT
cana-3406	507	23	treatment	treatment	NOUN
cana-3406	507	24	,	,	PUNCT
cana-3406	507	25	and	and	CCONJ
cana-3406	507	26	outcome	outcome	NOUN
cana-3406	507	27	prediction	prediction	NOUN
cana-3406	507	28	to	to	PART
cana-3406	507	29	address	address	VERB
cana-3406	507	30	health	health	NOUN
cana-3406	507	31	care	care	NOUN
cana-3406	507	32	disparities	disparity	NOUN
cana-3406	507	33	of	of	ADP
cana-3406	507	34	chronic	chronic	ADJ
cana-3406	507	35	limb	limb	NOUN
cana-3406	507	36	-	-	PUNCT
cana-3406	507	37	threatening	threaten	VERB
cana-3406	507	38	ischemia	ischemia	NOUN
cana-3406	507	39	,	,	PUNCT
cana-3406	507	40	”	"	PUNCT
cana-3406	507	41	semin	semin	PROPN
cana-3406	507	42	vasc	vasc	PROPN
cana-3406	507	43	surg	surg	PROPN
cana-3406	507	44	,	,	PUNCT
cana-3406	507	45	2023	2023	NUM
cana-3406	507	46	.	.	PUNCT
cana-3406	508	1	[	[	X
cana-3406	508	2	60	60	NUM
cana-3406	508	3	]	]	PUNCT
cana-3406	508	4	.	.	PUNCT
cana-3406	509	1	m.	m.	NOUN
cana-3406	509	2	fathima	fathima	PROPN
cana-3406	509	3	and	and	CCONJ
cana-3406	509	4	m.	m.	PROPN
cana-3406	509	5	mohammed	mohammed	PROPN
cana-3406	509	6	,	,	PUNCT
cana-3406	509	7	“	"	PUNCT
cana-3406	509	8	a	a	DET
cana-3406	509	9	survey	survey	NOUN
cana-3406	509	10	on	on	ADP
cana-3406	509	11	automating	automate	VERB
cana-3406	509	12	the	the	DET
cana-3406	509	13	process	process	NOUN
cana-3406	509	14	of	of	ADP
cana-3406	509	15	medical	medical	ADJ
cana-3406	509	16	history	history	NOUN
cana-3406	509	17	in	in	ADP
cana-3406	509	18	health	health	NOUN
cana-3406	509	19	-	-	PUNCT
cana-3406	509	20	care	care	NOUN
cana-3406	509	21	systems	system	NOUN
cana-3406	509	22	,	,	PUNCT
cana-3406	509	23	”	"	PUNCT
cana-3406	509	24	vol	vol	NOUN
cana-3406	509	25	.	.	PROPN
cana-3406	509	26	71	71	NUM
cana-3406	509	27	,	,	PUNCT
cana-3406	509	28	no	no	INTJ
cana-3406	509	29	.	.	NOUN
cana-3406	509	30	3	3	NUM
cana-3406	509	31	,	,	PUNCT
cana-3406	509	32	2022	2022	NUM
cana-3406	509	33	.	.	PUNCT
cana-3406	510	1	[	[	X
cana-3406	510	2	61	61	NUM
cana-3406	510	3	]	]	PUNCT
cana-3406	510	4	.	.	PUNCT
cana-3406	511	1	g.	g.	PROPN
cana-3406	511	2	dimauro	dimauro	PROPN
cana-3406	511	3	,	,	PUNCT
cana-3406	511	4	m.	m.	PROPN
cana-3406	511	5	e.	e.	PROPN
cana-3406	511	6	griseta	griseta	PROPN
cana-3406	511	7	,	,	PUNCT
cana-3406	511	8	m.	m.	NOUN
cana-3406	511	9	g.	g.	PROPN
cana-3406	511	10	camporeale	camporeale	PROPN
cana-3406	511	11	,	,	PUNCT
cana-3406	511	12	f.	f.	PROPN
cana-3406	511	13	clemente	clemente	PROPN
cana-3406	511	14	,	,	PUNCT
cana-3406	511	15	a.	a.	NOUN
cana-3406	511	16	guarini	guarini	PROPN
cana-3406	511	17	,	,	PUNCT
cana-3406	511	18	and	and	CCONJ
cana-3406	511	19	r.	r.	PROPN
cana-3406	511	20	maglietta	maglietta	PROPN
cana-3406	511	21	,	,	PUNCT
cana-3406	511	22	“	"	PUNCT
cana-3406	511	23	an	an	DET
cana-3406	511	24	intelligent	intelligent	ADJ
cana-3406	511	25	non	non	ADJ
cana-3406	511	26	-	-	ADJ
cana-3406	511	27	invasive	invasive	ADJ
cana-3406	511	28	system	system	NOUN
cana-3406	511	29	for	for	ADP
cana-3406	511	30	automated	automate	VERB
cana-3406	511	31	diagnosis	diagnosis	NOUN
cana-3406	511	32	of	of	ADP
cana-3406	511	33	anemia	anemia	NOUN
cana-3406	511	34	exploiting	exploit	VERB
cana-3406	511	35	a	a	DET
cana-3406	511	36	novel	novel	ADJ
cana-3406	511	37	dataset	dataset	NOUN
cana-3406	511	38	,	,	PUNCT
cana-3406	511	39	”	"	PUNCT
cana-3406	511	40	artif	artif	NOUN
cana-3406	511	41	intell	intell	PROPN
cana-3406	511	42	med	me	VERB
cana-3406	511	43	,	,	PUNCT
cana-3406	511	44	vol	vol	NOUN
cana-3406	511	45	.	.	PROPN
cana-3406	511	46	136	136	NUM
cana-3406	511	47	,	,	PUNCT
cana-3406	511	48	p.	p.	NOUN
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cana-3406	511	51	2023	2023	NUM
cana-3406	511	52	.	.	PUNCT
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cana-3406	512	3	]	]	PUNCT
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cana-3406	513	12	-	-	PUNCT
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cana-3406	513	14	system	system	NOUN
cana-3406	513	15	for	for	ADP
cana-3406	513	16	rapid	rapid	ADJ
cana-3406	513	17	and	and	CCONJ
cana-3406	513	18	accurate	accurate	ADJ
cana-3406	513	19	diagnosis	diagnosis	NOUN
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cana-3406	513	21	emerging	emerge	VERB
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cana-3406	513	25	”	"	PUNCT
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cana-3406	514	1	[	[	X
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cana-3406	514	3	]	]	PUNCT
cana-3406	514	4	.	.	PUNCT
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cana-3406	515	8	h.	h.	PROPN
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cana-3406	515	14	r.	r.	PROPN
cana-3406	515	15	yuvaraj	yuvaraj	PROPN
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cana-3406	515	17	and	and	CCONJ
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cana-3406	515	21	“	"	PUNCT
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cana-3406	515	30	parkinson	parkinson	NOUN
cana-3406	515	31	’s	’s	PART
cana-3406	515	32	disease	disease	NOUN
cana-3406	515	33	from	from	ADP
cana-3406	515	34	eeg	eeg	NOUN
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cana-3406	515	36	fawt	fawt	NOUN
cana-3406	515	37	and	and	CCONJ
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cana-3406	515	41	”	"	PUNCT
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cana-3406	515	53	,	,	PUNCT
cana-3406	515	54	2023	2023	NUM
cana-3406	515	55	.	.	PUNCT
cana-3406	516	1	[	[	X
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cana-3406	516	3	]	]	PUNCT
cana-3406	516	4	.	.	PUNCT
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cana-3406	517	7	and	and	CCONJ
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cana-3406	517	9	x.	x.	PROPN
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cana-3406	517	11	,	,	PUNCT
cana-3406	517	12	“	"	PUNCT
cana-3406	517	13	an	an	DET
cana-3406	517	14	automated	automate	VERB
cana-3406	517	15	and	and	CCONJ
cana-3406	517	16	mobile	mobile	ADJ
cana-3406	517	17	magnetoresistive	magnetoresistive	ADJ
cana-3406	517	18	biosensor	biosensor	NOUN
cana-3406	517	19	system	system	NOUN
cana-3406	517	20	for	for	ADP
cana-3406	517	21	early	early	ADJ
cana-3406	517	22	hepatocellular	hepatocellular	ADJ
cana-3406	517	23	carcinoma	carcinoma	NOUN
cana-3406	517	24	diagnosis	diagnosis	NOUN
cana-3406	517	25	,	,	PUNCT
cana-3406	517	26	”	"	PUNCT
cana-3406	517	27	biosens	biosen	NOUN
cana-3406	517	28	bioelectron	bioelectron	NOUN
cana-3406	517	29	,	,	PUNCT
cana-3406	517	30	vol	vol	NOUN
cana-3406	517	31	.	.	PROPN
cana-3406	518	1	202	202	NUM
cana-3406	518	2	,	,	PUNCT
cana-3406	518	3	p.	p.	NOUN
cana-3406	518	4	113982	113982	NUM
cana-3406	518	5	,	,	PUNCT
cana-3406	518	6	2022	2022	NUM
cana-3406	518	7	.	.	PUNCT
cana-3406	519	1	[	[	X
cana-3406	519	2	65	65	NUM
cana-3406	519	3	]	]	PUNCT
cana-3406	519	4	.	.	PUNCT
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cana-3406	520	2	marschal	marschal	PROPN
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cana-3406	520	4	m.	m.	NOUN
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cana-3406	520	6	,	,	PUNCT
cana-3406	520	7	s.	s.	PROPN
cana-3406	520	8	hoering	hoering	PROPN
cana-3406	520	9	,	,	PUNCT
cana-3406	520	10	i.	i.	PROPN
cana-3406	520	11	b.	b.	PROPN
cana-3406	520	12	autenrieth	autenrieth	PROPN
cana-3406	520	13	,	,	PUNCT
cana-3406	520	14	and	and	CCONJ
cana-3406	520	15	j.-s	j.-	NOUN
cana-3406	520	16	.	.	PUNCT
cana-3406	521	1	frick	frick	ADJ
cana-3406	521	2	,	,	PUNCT
cana-3406	521	3	“	"	PUNCT
cana-3406	521	4	evaluation	evaluation	NOUN
cana-3406	521	5	of	of	ADP
cana-3406	521	6	3	3	NUM
cana-3406	521	7	different	different	ADJ
cana-3406	521	8	rapid	rapid	ADJ
cana-3406	521	9	automated	automate	VERB
cana-3406	521	10	systems	system	NOUN
cana-3406	521	11	for	for	ADP
cana-3406	521	12	diagnosis	diagnosis	NOUN
cana-3406	521	13	of	of	ADP
cana-3406	521	14	urinary	urinary	ADJ
cana-3406	521	15	tract	tract	NOUN
cana-3406	521	16	infections	infection	NOUN
cana-3406	521	17	,	,	PUNCT
cana-3406	521	18	”	"	PUNCT
cana-3406	521	19	diagn	diagn	PROPN
cana-3406	521	20	microbiol	microbiol	PROPN
cana-3406	521	21	infect	infect	VERB
cana-3406	521	22	dis	dis	PROPN
cana-3406	521	23	,	,	PUNCT
cana-3406	521	24	vol	vol	NOUN
cana-3406	521	25	.	.	PROPN
cana-3406	521	26	72	72	NUM
cana-3406	521	27	,	,	PUNCT
cana-3406	521	28	no	no	INTJ
cana-3406	521	29	.	.	NOUN
cana-3406	521	30	2	2	NUM
cana-3406	521	31	,	,	PUNCT
cana-3406	521	32	pp	pp	ADJ
cana-3406	521	33	.	.	PUNCT
cana-3406	522	1	125–130	125–130	NUM
cana-3406	522	2	,	,	PUNCT
cana-3406	522	3	2012	2012	NUM
cana-3406	522	4	.	.	PUNCT