id	sid	tid	token	lemma	pos
cana-4293	1	1	communications	communication	NOUN
cana-4293	1	2	on	on	ADP
cana-4293	1	3	applied	apply	VERB
cana-4293	1	4	nonlinear	nonlinear	ADJ
cana-4293	1	5	analysis	analysis	NOUN
cana-4293	1	6	issn	issn	NOUN
cana-4293	1	7	:	:	PUNCT
cana-4293	1	8	1074	1074	NUM
cana-4293	1	9	-	-	PUNCT
cana-4293	1	10	133x	133x	NUM
cana-4293	1	11	vol	vol	NOUN
cana-4293	1	12	32	32	NUM
cana-4293	1	13	no	no	NOUN
cana-4293	1	14	.	.	PUNCT
cana-4293	2	1	9s	9s	NUM
cana-4293	2	2	(	(	PUNCT
cana-4293	2	3	2025	2025	NUM
cana-4293	2	4	)	)	PUNCT
cana-4293	2	5	1741	1741	NUM
cana-4293	2	6	https://internationalpubls.co	https://internationalpubls.co	PROPN
cana-4293	2	7	m	m	PROPN
cana-4293	2	8	cvbn	cvbn	NOUN
cana-4293	2	9	:	:	PUNCT
cana-4293	2	10	early	early	ADJ
cana-4293	2	11	diagnosis	diagnosis	NOUN
cana-4293	2	12	of	of	ADP
cana-4293	2	13	breast	breast	NOUN
cana-4293	2	14	cancer	cancer	NOUN
cana-4293	2	15	detection	detection	NOUN
cana-4293	2	16	using	use	VERB
cana-4293	2	17	transfer	transfer	NOUN
cana-4293	2	18	learning	learn	VERB
cana-4293	2	19	1	1	NUM
cana-4293	2	20	m.	m.	NOUN
cana-4293	2	21	subha	subha	NOUN
cana-4293	2	22	,	,	PUNCT
cana-4293	2	23	2dr.p	2dr.p	NUM
cana-4293	2	24	.	.	PUNCT
cana-4293	3	1	srimanchari	srimanchari	PROPN
cana-4293	3	2	,	,	PUNCT
cana-4293	3	3	1ph.d	1ph.d	NUM
cana-4293	3	4	research	research	NOUN
cana-4293	3	5	scholar	scholar	NOUN
cana-4293	3	6	,	,	PUNCT
cana-4293	3	7	department	department	NOUN
cana-4293	3	8	of	of	ADP
cana-4293	3	9	computer	computer	NOUN
cana-4293	3	10	science	science	NOUN
cana-4293	3	11	,	,	PUNCT
cana-4293	3	12	erode	erode	NOUN
cana-4293	3	13	arts	art	NOUN
cana-4293	3	14	and	and	CCONJ
cana-4293	3	15	science	science	NOUN
cana-4293	3	16	college(autonomous	college(autonomous	PROPN
cana-4293	3	17	)	)	PUNCT
cana-4293	3	18	,	,	PUNCT
cana-4293	3	19	erode-09	erode-09	PROPN
cana-4293	3	20	.	.	PROPN
cana-4293	3	21	tamil	tamil	PROPN
cana-4293	3	22	nadu	nadu	PROPN
cana-4293	3	23	,	,	PUNCT
cana-4293	3	24	india	india	PROPN
cana-4293	3	25	.	.	PUNCT
cana-4293	4	1	2assistant	2assistant	NUM
cana-4293	4	2	professor	professor	NOUN
cana-4293	4	3	,	,	PUNCT
cana-4293	4	4	department	department	NOUN
cana-4293	4	5	of	of	ADP
cana-4293	4	6	computer	computer	NOUN
cana-4293	4	7	science	science	NOUN
cana-4293	4	8	,	,	PUNCT
cana-4293	4	9	erode	erode	NOUN
cana-4293	4	10	arts	art	NOUN
cana-4293	4	11	and	and	CCONJ
cana-4293	4	12	science	science	PROPN
cana-4293	4	13	college	college	PROPN
cana-4293	4	14	(	(	PUNCT
cana-4293	4	15	autonomous	autonomous	ADJ
cana-4293	4	16	)	)	PUNCT
cana-4293	4	17	,	,	PUNCT
cana-4293	4	18	erode-09	erode-09	PROPN
cana-4293	4	19	,	,	PUNCT
cana-4293	4	20	tamil	tamil	PROPN
cana-4293	4	21	nadu	nadu	NOUN
cana-4293	4	22	,	,	PUNCT
cana-4293	4	23	india	india	PROPN
cana-4293	4	24	article	article	PROPN
cana-4293	4	25	history	history	NOUN
cana-4293	4	26	:	:	PUNCT
cana-4293	4	27	received	receive	VERB
cana-4293	4	28	:	:	PUNCT
cana-4293	4	29	12	12	NUM
cana-4293	4	30	-	-	SYM
cana-4293	4	31	01	01	NUM
cana-4293	4	32	-	-	PUNCT
cana-4293	4	33	2025	2025	NUM
cana-4293	4	34	revised	revise	VERB
cana-4293	4	35	:	:	PUNCT
cana-4293	4	36	15	15	NUM
cana-4293	4	37	-	-	NUM
cana-4293	4	38	02	02	NUM
cana-4293	4	39	-	-	PUNCT
cana-4293	4	40	2025	2025	NUM
cana-4293	4	41	accepted	accept	VERB
cana-4293	4	42	:	:	PUNCT
cana-4293	4	43	01	01	NUM
cana-4293	4	44	-	-	SYM
cana-4293	4	45	03	03	NUM
cana-4293	4	46	-	-	PUNCT
cana-4293	4	47	2025	2025	NUM
cana-4293	4	48	abstract	abstract	NOUN
cana-4293	4	49	:	:	PUNCT
cana-4293	4	50	one	one	NUM
cana-4293	4	51	of	of	ADP
cana-4293	4	52	the	the	DET
cana-4293	4	53	most	most	ADV
cana-4293	4	54	common	common	ADJ
cana-4293	4	55	cancers	cancer	NOUN
cana-4293	4	56	afflicting	afflict	VERB
cana-4293	4	57	women	woman	NOUN
cana-4293	4	58	worldwide	worldwide	ADV
cana-4293	4	59	,	,	PUNCT
cana-4293	4	60	breast	breast	NOUN
cana-4293	4	61	cancer	cancer	NOUN
cana-4293	4	62	is	be	AUX
cana-4293	4	63	characterized	characterize	VERB
cana-4293	4	64	by	by	ADP
cana-4293	4	65	uncontrolled	uncontrolled	ADJ
cana-4293	4	66	cell	cell	NOUN
cana-4293	4	67	growth	growth	NOUN
cana-4293	4	68	in	in	ADP
cana-4293	4	69	the	the	DET
cana-4293	4	70	breast	breast	NOUN
cana-4293	4	71	tissue	tissue	NOUN
cana-4293	4	72	.	.	PUNCT
cana-4293	5	1	early	early	ADJ
cana-4293	5	2	detection	detection	NOUN
cana-4293	5	3	and	and	CCONJ
cana-4293	5	4	diagnosis	diagnosis	NOUN
cana-4293	5	5	are	be	AUX
cana-4293	5	6	crucial	crucial	ADJ
cana-4293	5	7	for	for	ADP
cana-4293	5	8	effective	effective	ADJ
cana-4293	5	9	treatment	treatment	NOUN
cana-4293	5	10	and	and	CCONJ
cana-4293	5	11	increased	increase	VERB
cana-4293	5	12	patient	patient	ADJ
cana-4293	5	13	survival	survival	NOUN
cana-4293	5	14	rates	rate	NOUN
cana-4293	5	15	.	.	PUNCT
cana-4293	6	1	treatment	treatment	NOUN
cana-4293	6	2	results	result	NOUN
cana-4293	6	3	and	and	CCONJ
cana-4293	6	4	patient	patient	ADJ
cana-4293	6	5	survival	survival	NOUN
cana-4293	6	6	rates	rate	NOUN
cana-4293	6	7	are	be	AUX
cana-4293	6	8	greatly	greatly	ADV
cana-4293	6	9	improved	improve	VERB
cana-4293	6	10	by	by	ADP
cana-4293	6	11	detecting	detect	VERB
cana-4293	6	12	breast	breast	NOUN
cana-4293	6	13	cancer	cancer	NOUN
cana-4293	6	14	early	early	ADV
cana-4293	6	15	.	.	PUNCT
cana-4293	7	1	the	the	DET
cana-4293	7	2	optimal	optimal	ADJ
cana-4293	7	3	architecture	architecture	NOUN
cana-4293	7	4	for	for	ADP
cana-4293	7	5	cancer	cancer	NOUN
cana-4293	7	6	prediction	prediction	NOUN
cana-4293	7	7	was	be	AUX
cana-4293	7	8	suggested	suggest	VERB
cana-4293	7	9	by	by	ADP
cana-4293	7	10	this	this	DET
cana-4293	7	11	study	study	NOUN
cana-4293	7	12	as	as	SCONJ
cana-4293	7	13	cascaded	cascade	VERB
cana-4293	7	14	vgg19	vgg19	NOUN
cana-4293	7	15	with	with	ADP
cana-4293	7	16	bidirectional	bidirectional	ADJ
cana-4293	7	17	long	long	ADJ
cana-4293	7	18	short	short	ADJ
cana-4293	7	19	-	-	PUNCT
cana-4293	7	20	term	term	NOUN
cana-4293	7	21	memory	memory	NOUN
cana-4293	7	22	(	(	PUNCT
cana-4293	7	23	cvbn	cvbn	NOUN
cana-4293	7	24	)	)	PUNCT
cana-4293	7	25	.	.	PUNCT
cana-4293	8	1	the	the	DET
cana-4293	8	2	vgg19	vgg19	PROPN
cana-4293	8	3	model	model	NOUN
cana-4293	8	4	is	be	AUX
cana-4293	8	5	used	use	VERB
cana-4293	8	6	to	to	PART
cana-4293	8	7	extract	extract	VERB
cana-4293	8	8	high	high	ADJ
cana-4293	8	9	-	-	PUNCT
cana-4293	8	10	level	level	NOUN
cana-4293	8	11	characteristics	characteristic	NOUN
cana-4293	8	12	from	from	ADP
cana-4293	8	13	mammography	mammography	NOUN
cana-4293	8	14	pictures	picture	NOUN
cana-4293	8	15	;	;	PUNCT
cana-4293	8	16	it	it	PRON
cana-4293	8	17	has	have	AUX
cana-4293	8	18	been	be	AUX
cana-4293	8	19	pre	pre	VERB
cana-4293	8	20	-	-	VERB
cana-4293	8	21	trained	train	VERB
cana-4293	8	22	on	on	ADP
cana-4293	8	23	large	large	ADJ
cana-4293	8	24	image	image	NOUN
cana-4293	8	25	datasets	dataset	NOUN
cana-4293	8	26	.	.	PUNCT
cana-4293	9	1	the	the	DET
cana-4293	9	2	bi	bi	ADJ
cana-4293	9	3	-	-	ADJ
cana-4293	9	4	lstm	lstm	ADJ
cana-4293	9	5	network	network	NOUN
cana-4293	9	6	takes	take	VERB
cana-4293	9	7	these	these	DET
cana-4293	9	8	characteristics	characteristic	NOUN
cana-4293	9	9	and	and	CCONJ
cana-4293	9	10	processes	process	VERB
cana-4293	9	11	them	they	PRON
cana-4293	9	12	,	,	PUNCT
cana-4293	9	13	improving	improve	VERB
cana-4293	9	14	the	the	DET
cana-4293	9	15	model	model	NOUN
cana-4293	9	16	's	's	PART
cana-4293	9	17	prediction	prediction	NOUN
cana-4293	9	18	accuracy	accuracy	NOUN
cana-4293	9	19	by	by	ADP
cana-4293	9	20	capturing	capture	VERB
cana-4293	9	21	complex	complex	ADJ
cana-4293	9	22	patterns	pattern	NOUN
cana-4293	9	23	and	and	CCONJ
cana-4293	9	24	temporal	temporal	ADJ
cana-4293	9	25	correlations	correlation	NOUN
cana-4293	9	26	.	.	PUNCT
cana-4293	10	1	the	the	DET
cana-4293	10	2	cvbn	cvbn	NOUN
cana-4293	10	3	design	design	NOUN
cana-4293	10	4	outperforms	outperform	VERB
cana-4293	10	5	conventional	conventional	ADJ
cana-4293	10	6	approaches	approach	NOUN
cana-4293	10	7	on	on	ADP
cana-4293	10	8	a	a	DET
cana-4293	10	9	large	large	ADJ
cana-4293	10	10	breast	breast	NOUN
cana-4293	10	11	cancer	cancer	NOUN
cana-4293	10	12	dataset	dataset	NOUN
cana-4293	10	13	,	,	PUNCT
cana-4293	10	14	proving	prove	VERB
cana-4293	10	15	its	its	PRON
cana-4293	10	16	higher	high	ADJ
cana-4293	10	17	accuracy	accuracy	NOUN
cana-4293	10	18	,	,	PUNCT
cana-4293	10	19	sensitivity	sensitivity	NOUN
cana-4293	10	20	,	,	PUNCT
cana-4293	10	21	and	and	CCONJ
cana-4293	10	22	specificity	specificity	NOUN
cana-4293	10	23	.	.	PUNCT
cana-4293	11	1	by	by	ADP
cana-4293	11	2	enhancing	enhance	VERB
cana-4293	11	3	feature	feature	NOUN
cana-4293	11	4	extraction	extraction	NOUN
cana-4293	11	5	and	and	CCONJ
cana-4293	11	6	segmentation	segmentation	NOUN
cana-4293	11	7	,	,	PUNCT
cana-4293	11	8	this	this	DET
cana-4293	11	9	integrated	integrate	VERB
cana-4293	11	10	strategy	strategy	NOUN
cana-4293	11	11	successfully	successfully	ADV
cana-4293	11	12	tackles	tackle	VERB
cana-4293	11	13	the	the	DET
cana-4293	11	14	complexity	complexity	NOUN
cana-4293	11	15	and	and	CCONJ
cana-4293	11	16	unpredictability	unpredictability	NOUN
cana-4293	11	17	of	of	ADP
cana-4293	11	18	mammographic	mammographic	ADJ
cana-4293	11	19	pictures	picture	NOUN
cana-4293	11	20	,	,	PUNCT
cana-4293	11	21	providing	provide	VERB
cana-4293	11	22	a	a	DET
cana-4293	11	23	potential	potential	ADJ
cana-4293	11	24	tool	tool	NOUN
cana-4293	11	25	for	for	ADP
cana-4293	11	26	accurate	accurate	ADJ
cana-4293	11	27	and	and	CCONJ
cana-4293	11	28	early	early	ADJ
cana-4293	11	29	identification	identification	NOUN
cana-4293	11	30	of	of	ADP
cana-4293	11	31	breast	breast	NOUN
cana-4293	11	32	cancer	cancer	NOUN
cana-4293	11	33	.	.	PUNCT
cana-4293	12	1	keywords	keyword	NOUN
cana-4293	12	2	:	:	PUNCT
cana-4293	12	3	breast	breast	NOUN
cana-4293	12	4	cancer	cancer	NOUN
cana-4293	12	5	,	,	PUNCT
cana-4293	12	6	bi	bi	NOUN
cana-4293	12	7	-	-	ADJ
cana-4293	12	8	lstm	lstm	ADJ
cana-4293	12	9	,	,	PUNCT
cana-4293	12	10	early	early	ADJ
cana-4293	12	11	detection	detection	NOUN
cana-4293	12	12	,	,	PUNCT
cana-4293	12	13	vgg19	vgg19	NOUN
cana-4293	12	14	,	,	PUNCT
cana-4293	12	15	transfer	transfer	VERB
cana-4293	12	16	learning	learning	NOUN
cana-4293	12	17	i.	i.	NOUN
cana-4293	12	18	introduction	introduction	NOUN
cana-4293	12	19	there	there	PRON
cana-4293	12	20	are	be	VERB
cana-4293	12	21	a	a	DET
cana-4293	12	22	number	number	NOUN
cana-4293	12	23	of	of	ADP
cana-4293	12	24	subtypes	subtype	NOUN
cana-4293	12	25	and	and	CCONJ
cana-4293	12	26	characteristics	characteristic	NOUN
cana-4293	12	27	associated	associate	VERB
cana-4293	12	28	with	with	ADP
cana-4293	12	29	each	each	PRON
cana-4293	12	30	of	of	ADP
cana-4293	12	31	the	the	DET
cana-4293	12	32	two	two	NUM
cana-4293	12	33	main	main	ADJ
cana-4293	12	34	forms	form	NOUN
cana-4293	12	35	of	of	ADP
cana-4293	12	36	breast	breast	NOUN
cana-4293	12	37	cancer	cancer	NOUN
cana-4293	12	38	,	,	PUNCT
cana-4293	12	39	carcinoma	carcinoma	NOUN
cana-4293	12	40	and	and	CCONJ
cana-4293	12	41	non	non	ADJ
cana-4293	12	42	-	-	NOUN
cana-4293	12	43	carcinoma	carcinoma	ADJ
cana-4293	12	44	.	.	PUNCT
cana-4293	13	1	there	there	PRON
cana-4293	13	2	are	be	VERB
cana-4293	13	3	two	two	NUM
cana-4293	13	4	main	main	ADJ
cana-4293	13	5	categories	category	NOUN
cana-4293	13	6	of	of	ADP
cana-4293	13	7	carcinoma	carcinoma	NOUN
cana-4293	13	8	:	:	PUNCT
cana-4293	13	9	benign	benign	ADJ
cana-4293	13	10	and	and	CCONJ
cana-4293	13	11	normal	normal	ADJ
cana-4293	13	12	[	[	X
cana-4293	13	13	1	1	NUM
cana-4293	13	14	]	]	PUNCT
cana-4293	13	15	.	.	PUNCT
cana-4293	14	1	the	the	DET
cana-4293	14	2	term	term	NOUN
cana-4293	14	3	"	"	PUNCT
cana-4293	14	4	beneign	beneign	NOUN
cana-4293	14	5	"	"	PUNCT
cana-4293	14	6	describes	describe	VERB
cana-4293	14	7	a	a	DET
cana-4293	14	8	little	little	ADJ
cana-4293	14	9	alteration	alteration	NOUN
cana-4293	14	10	in	in	ADP
cana-4293	14	11	the	the	DET
cana-4293	14	12	structure	structure	NOUN
cana-4293	14	13	of	of	ADP
cana-4293	14	14	the	the	DET
cana-4293	14	15	breast	breast	NOUN
cana-4293	14	16	that	that	PRON
cana-4293	14	17	does	do	AUX
cana-4293	14	18	not	not	PART
cana-4293	14	19	meet	meet	VERB
cana-4293	14	20	the	the	DET
cana-4293	14	21	criteria	criterion	NOUN
cana-4293	14	22	for	for	ADP
cana-4293	14	23	cancer	cancer	NOUN
cana-4293	14	24	and	and	CCONJ
cana-4293	14	25	,	,	PUNCT
cana-4293	14	26	in	in	ADP
cana-4293	14	27	the	the	DET
cana-4293	14	28	majority	majority	NOUN
cana-4293	14	29	of	of	ADP
cana-4293	14	30	instances	instance	NOUN
cana-4293	14	31	,	,	PUNCT
cana-4293	14	32	does	do	AUX
cana-4293	14	33	not	not	PART
cana-4293	14	34	pose	pose	VERB
cana-4293	14	35	any	any	DET
cana-4293	14	36	health	health	NOUN
cana-4293	14	37	risks	risk	NOUN
cana-4293	14	38	[	[	X
cana-4293	14	39	2	2	NUM
cana-4293	14	40	]	]	PUNCT
cana-4293	14	41	.	.	PUNCT
cana-4293	15	1	additional	additional	ADJ
cana-4293	15	2	carcinoma	carcinoma	NOUN
cana-4293	15	3	kinds	kind	NOUN
cana-4293	15	4	include	include	VERB
cana-4293	15	5	in	in	ADP
cana-4293	15	6	-	-	PUNCT
cana-4293	15	7	situ	situ	ADJ
cana-4293	15	8	and	and	CCONJ
cana-4293	15	9	invasive	invasive	ADJ
cana-4293	15	10	varieties	variety	NOUN
cana-4293	15	11	[	[	X
cana-4293	15	12	3	3	NUM
cana-4293	15	13	]	]	PUNCT
cana-4293	15	14	.	.	PUNCT
cana-4293	16	1	while	while	SCONJ
cana-4293	16	2	certain	certain	ADJ
cana-4293	16	3	types	type	NOUN
cana-4293	16	4	of	of	ADP
cana-4293	16	5	breast	breast	NOUN
cana-4293	16	6	cancer	cancer	NOUN
cana-4293	16	7	,	,	PUNCT
cana-4293	16	8	known	know	VERB
cana-4293	16	9	as	as	ADP
cana-4293	16	10	invasive	invasive	ADJ
cana-4293	16	11	carcinoma	carcinoma	NOUN
cana-4293	16	12	,	,	PUNCT
cana-4293	16	13	spread	spread	VERB
cana-4293	16	14	to	to	ADP
cana-4293	16	15	other	other	ADJ
cana-4293	16	16	organs	organ	NOUN
cana-4293	16	17	,	,	PUNCT
cana-4293	16	18	others	other	NOUN
cana-4293	16	19	,	,	PUNCT
cana-4293	16	20	called	call	VERB
cana-4293	16	21	in	in	ADP
cana-4293	16	22	-	-	PUNCT
cana-4293	16	23	situ	situ	ADJ
cana-4293	16	24	or	or	CCONJ
cana-4293	16	25	non	non	ADJ
cana-4293	16	26	-	-	ADJ
cana-4293	16	27	invasive	invasive	ADJ
cana-4293	16	28	,	,	PUNCT
cana-4293	16	29	stay	stay	VERB
cana-4293	16	30	within	within	ADP
cana-4293	16	31	the	the	DET
cana-4293	16	32	mammary	mammary	ADJ
cana-4293	16	33	ductal	ductal	ADJ
cana-4293	16	34	-	-	PUNCT
cana-4293	16	35	lobular	lobular	ADJ
cana-4293	16	36	system	system	NOUN
cana-4293	16	37	and	and	CCONJ
cana-4293	16	38	do	do	AUX
cana-4293	16	39	n't	not	PART
cana-4293	16	40	spread	spread	VERB
cana-4293	16	41	.	.	PUNCT
cana-4293	17	1	with	with	ADP
cana-4293	17	2	prompt	prompt	ADJ
cana-4293	17	3	diagnosis	diagnosis	NOUN
cana-4293	17	4	,	,	PUNCT
cana-4293	17	5	in	in	ADP
cana-4293	17	6	-	-	PUNCT
cana-4293	17	7	situ	situ	ADJ
cana-4293	17	8	carcinomas	carcinoma	NOUN
cana-4293	17	9	can	can	AUX
cana-4293	17	10	be	be	AUX
cana-4293	17	11	resected	resect	VERB
cana-4293	17	12	and	and	CCONJ
cana-4293	17	13	even	even	ADV
cana-4293	17	14	cured	cure	VERB
cana-4293	17	15	[	[	PUNCT
cana-4293	17	16	4	4	NUM
cana-4293	17	17	]	]	PUNCT
cana-4293	17	18	.	.	PUNCT
cana-4293	18	1	the	the	DET
cana-4293	18	2	first	first	ADJ
cana-4293	18	3	step	step	NOUN
cana-4293	18	4	in	in	ADP
cana-4293	18	5	diagnosing	diagnose	VERB
cana-4293	18	6	breast	breast	NOUN
cana-4293	18	7	cancer	cancer	NOUN
cana-4293	18	8	is	be	AUX
cana-4293	18	9	palpation	palpation	NOUN
cana-4293	18	10	,	,	PUNCT
cana-4293	18	11	which	which	PRON
cana-4293	18	12	is	be	AUX
cana-4293	18	13	a	a	DET
cana-4293	18	14	self	self	NOUN
cana-4293	18	15	-	-	PUNCT
cana-4293	18	16	assessment	assessment	NOUN
cana-4293	18	17	.	.	PUNCT
cana-4293	19	1	subsequently	subsequently	ADV
cana-4293	19	2	,	,	PUNCT
cana-4293	19	3	during	during	ADP
cana-4293	19	4	routine	routine	ADJ
cana-4293	19	5	checks	check	NOUN
cana-4293	19	6	,	,	PUNCT
cana-4293	19	7	ultrasound	ultrasound	ADJ
cana-4293	19	8	imaging	imaging	NOUN
cana-4293	19	9	and	and	CCONJ
cana-4293	19	10	mammography	mammography	NOUN
cana-4293	19	11	can	can	AUX
cana-4293	19	12	be	be	AUX
cana-4293	19	13	used	use	VERB
cana-4293	19	14	[	[	PUNCT
cana-4293	19	15	5	5	NUM
cana-4293	19	16	]	]	PUNCT
cana-4293	19	17	.	.	PUNCT
cana-4293	20	1	one	one	NUM
cana-4293	20	2	of	of	ADP
cana-4293	20	3	the	the	DET
cana-4293	20	4	most	most	ADV
cana-4293	20	5	dependable	dependable	ADJ
cana-4293	20	6	ways	way	NOUN
cana-4293	20	7	to	to	PART
cana-4293	20	8	diagnose	diagnose	VERB
cana-4293	20	9	breast	breast	NOUN
cana-4293	20	10	cancer	cancer	NOUN
cana-4293	20	11	is	be	AUX
cana-4293	20	12	with	with	ADP
cana-4293	20	13	a	a	DET
cana-4293	20	14	needle	needle	NOUN
cana-4293	20	15	biopsy	biopsy	NOUN
cana-4293	20	16	,	,	PUNCT
cana-4293	20	17	which	which	PRON
cana-4293	20	18	is	be	AUX
cana-4293	20	19	performed	perform	VERB
cana-4293	20	20	when	when	SCONJ
cana-4293	20	21	there	there	PRON
cana-4293	20	22	is	be	VERB
cana-4293	20	23	a	a	DET
cana-4293	20	24	chance	chance	NOUN
cana-4293	20	25	of	of	ADP
cana-4293	20	26	malignant	malignant	ADJ
cana-4293	20	27	tissue	tissue	NOUN
cana-4293	20	28	growth	growth	NOUN
cana-4293	20	29	[	[	X
cana-4293	20	30	6	6	NUM
cana-4293	20	31	]	]	PUNCT
cana-4293	20	32	.	.	PUNCT
cana-4293	21	1	histologists	histologist	NOUN
cana-4293	21	2	examine	examine	VERB
cana-4293	21	3	tissues	tissue	NOUN
cana-4293	21	4	under	under	ADP
cana-4293	21	5	a	a	DET
cana-4293	21	6	microscope	microscope	NOUN
cana-4293	21	7	to	to	PART
cana-4293	21	8	determine	determine	VERB
cana-4293	21	9	their	their	PRON
cana-4293	21	10	microscopic	microscopic	ADJ
cana-4293	21	11	structure	structure	NOUN
cana-4293	21	12	and	and	CCONJ
cana-4293	21	13	components	component	NOUN
cana-4293	21	14	[	[	X
cana-4293	21	15	7	7	NUM
cana-4293	21	16	]	]	PUNCT
cana-4293	21	17	.	.	PUNCT
cana-4293	22	1	histological	histological	ADJ
cana-4293	22	2	examination	examination	NOUN
cana-4293	22	3	of	of	ADP
cana-4293	22	4	breast	breast	NOUN
cana-4293	22	5	tissue	tissue	NOUN
cana-4293	22	6	helps	helps	AUX
cana-4293	22	7	distinguish	distinguish	VERB
cana-4293	22	8	between	between	ADP
cana-4293	22	9	the	the	DET
cana-4293	22	10	aforementioned	aforementioned	ADJ
cana-4293	22	11	cancers	cancer	NOUN
cana-4293	22	12	[	[	X
cana-4293	22	13	8	8	NUM
cana-4293	22	14	]	]	PUNCT
cana-4293	22	15	.	.	PUNCT
cana-4293	23	1	hematoxylin	hematoxylin	PROPN
cana-4293	23	2	and	and	CCONJ
cana-4293	23	3	eosin	eosin	PROPN
cana-4293	23	4	(	(	PUNCT
cana-4293	23	5	h&e	h&e	PROPN
cana-4293	23	6	)	)	PUNCT
cana-4293	23	7	staining	stain	VERB
cana-4293	23	8	is	be	AUX
cana-4293	23	9	done	do	VERB
cana-4293	23	10	on	on	ADP
cana-4293	23	11	tissues	tissue	NOUN
cana-4293	23	12	before	before	SCONJ
cana-4293	23	13	they	they	PRON
cana-4293	23	14	communications	communication	VERB
cana-4293	23	15	on	on	ADP
cana-4293	23	16	applied	apply	VERB
cana-4293	23	17	nonlinear	nonlinear	ADJ
cana-4293	23	18	analysis	analysis	NOUN
cana-4293	23	19	issn	issn	NOUN
cana-4293	23	20	:	:	PUNCT
cana-4293	23	21	1074	1074	NUM
cana-4293	23	22	-	-	PUNCT
cana-4293	23	23	133x	133x	NUM
cana-4293	23	24	vol	vol	NOUN
cana-4293	23	25	32	32	NUM
cana-4293	24	1	no	no	NOUN
cana-4293	24	2	.	.	PUNCT
cana-4293	25	1	9s	9s	NUM
cana-4293	25	2	(	(	PUNCT
cana-4293	25	3	2025	2025	NUM
cana-4293	25	4	)	)	PUNCT
cana-4293	25	5	1742	1742	NUM
cana-4293	26	1	https://internationalpubls.co	https://internationalpubls.co	X
cana-4293	26	2	m	m	NOUN
cana-4293	26	3	are	be	AUX
cana-4293	26	4	examined	examine	VERB
cana-4293	26	5	visually	visually	ADV
cana-4293	26	6	[	[	X
cana-4293	26	7	9	9	NUM
cana-4293	26	8	]	]	PUNCT
cana-4293	26	9	.	.	PUNCT
cana-4293	27	1	the	the	DET
cana-4293	27	2	nuclei	nucleus	NOUN
cana-4293	27	3	(	(	PUNCT
cana-4293	27	4	purple	purple	ADJ
cana-4293	27	5	)	)	PUNCT
cana-4293	27	6	and	and	CCONJ
cana-4293	27	7	cytoplasm	cytoplasm	ADJ
cana-4293	27	8	structure	structure	NOUN
cana-4293	27	9	are	be	AUX
cana-4293	27	10	more	more	ADV
cana-4293	27	11	prominently	prominently	ADV
cana-4293	27	12	seen	see	VERB
cana-4293	27	13	on	on	ADP
cana-4293	27	14	the	the	DET
cana-4293	27	15	tissue	tissue	NOUN
cana-4293	27	16	slide	slide	NOUN
cana-4293	27	17	after	after	ADP
cana-4293	27	18	staining	stain	VERB
cana-4293	27	19	[	[	X
cana-4293	27	20	10	10	NUM
cana-4293	27	21	]	]	PUNCT
cana-4293	27	22	.	.	PUNCT
cana-4293	28	1	tragically	tragically	ADV
cana-4293	28	2	,	,	PUNCT
cana-4293	28	3	a	a	DET
cana-4293	28	4	large	large	ADJ
cana-4293	28	5	number	number	NOUN
cana-4293	28	6	of	of	ADP
cana-4293	28	7	women	woman	NOUN
cana-4293	28	8	who	who	PRON
cana-4293	28	9	are	be	AUX
cana-4293	28	10	diagnosed	diagnose	VERB
cana-4293	28	11	with	with	ADP
cana-4293	28	12	breast	breast	NOUN
cana-4293	28	13	cancer	cancer	NOUN
cana-4293	28	14	lose	lose	VERB
cana-4293	28	15	their	their	PRON
cana-4293	28	16	battles	battle	NOUN
cana-4293	28	17	against	against	ADP
cana-4293	28	18	the	the	DET
cana-4293	28	19	illness	illness	NOUN
cana-4293	28	20	year	year	NOUN
cana-4293	29	1	[	[	X
cana-4293	29	2	11	11	NUM
cana-4293	29	3	]	]	PUNCT
cana-4293	29	4	.	.	PUNCT
cana-4293	30	1	early	early	ADJ
cana-4293	30	2	detection	detection	NOUN
cana-4293	30	3	can	can	AUX
cana-4293	30	4	reduce	reduce	VERB
cana-4293	30	5	breast	breast	NOUN
cana-4293	30	6	cancer	cancer	NOUN
cana-4293	30	7	death	death	NOUN
cana-4293	30	8	rates	rate	NOUN
cana-4293	30	9	and	and	CCONJ
cana-4293	30	10	enhance	enhance	VERB
cana-4293	30	11	therapeutic	therapeutic	ADJ
cana-4293	30	12	effectiveness	effectiveness	NOUN
cana-4293	30	13	[	[	X
cana-4293	30	14	12	12	NUM
cana-4293	30	15	]	]	PUNCT
cana-4293	30	16	.	.	PUNCT
cana-4293	31	1	research	research	NOUN
cana-4293	31	2	into	into	ADP
cana-4293	31	3	digital	digital	ADJ
cana-4293	31	4	pathology	pathology	NOUN
cana-4293	31	5	's	's	PART
cana-4293	31	6	potential	potential	NOUN
cana-4293	31	7	as	as	ADP
cana-4293	31	8	a	a	DET
cana-4293	31	9	fast	fast	ADJ
cana-4293	31	10	and	and	CCONJ
cana-4293	31	11	accurate	accurate	ADJ
cana-4293	31	12	means	mean	NOUN
cana-4293	31	13	of	of	ADP
cana-4293	31	14	breast	breast	NOUN
cana-4293	31	15	cancer	cancer	NOUN
cana-4293	31	16	diagnosis	diagnosis	NOUN
cana-4293	31	17	is	be	AUX
cana-4293	31	18	an	an	DET
cana-4293	31	19	encouraging	encouraging	ADJ
cana-4293	31	20	field	field	NOUN
cana-4293	31	21	of	of	ADP
cana-4293	31	22	study	study	NOUN
cana-4293	31	23	[	[	X
cana-4293	31	24	13	13	NUM
cana-4293	31	25	]	]	PUNCT
cana-4293	31	26	.	.	PUNCT
cana-4293	32	1	it	it	PRON
cana-4293	32	2	has	have	AUX
cana-4293	32	3	recently	recently	ADV
cana-4293	32	4	become	become	VERB
cana-4293	32	5	possible	possible	ADJ
cana-4293	32	6	to	to	PART
cana-4293	32	7	automate	automate	VERB
cana-4293	32	8	the	the	DET
cana-4293	32	9	diagnosis	diagnosis	NOUN
cana-4293	32	10	of	of	ADP
cana-4293	32	11	breast	breast	NOUN
cana-4293	32	12	cancer	cancer	NOUN
cana-4293	32	13	using	use	VERB
cana-4293	32	14	deep	deep	ADJ
cana-4293	32	15	learning	learning	NOUN
cana-4293	32	16	.	.	PUNCT
cana-4293	33	1	deep	deep	ADJ
cana-4293	33	2	learning	learning	NOUN
cana-4293	33	3	is	be	AUX
cana-4293	33	4	able	able	ADJ
cana-4293	33	5	to	to	PART
cana-4293	33	6	take	take	VERB
cana-4293	33	7	on	on	ADP
cana-4293	33	8	new	new	ADJ
cana-4293	33	9	problems	problem	NOUN
cana-4293	33	10	with	with	ADP
cana-4293	33	11	less	less	ADJ
cana-4293	33	12	specialised	specialised	ADJ
cana-4293	33	13	hardware	hardware	NOUN
cana-4293	33	14	and	and	CCONJ
cana-4293	33	15	a	a	DET
cana-4293	33	16	smaller	small	ADJ
cana-4293	33	17	data	datum	NOUN
cana-4293	33	18	set	set	VERB
cana-4293	33	19	than	than	ADP
cana-4293	33	20	normal	normal	ADJ
cana-4293	33	21	because	because	SCONJ
cana-4293	33	22	to	to	PART
cana-4293	33	23	transfer	transfer	VERB
cana-4293	33	24	learning	learn	VERB
cana-4293	33	25	[	[	X
cana-4293	33	26	14	14	NUM
cana-4293	33	27	]	]	PUNCT
cana-4293	33	28	.	.	PUNCT
cana-4293	34	1	this	this	PRON
cana-4293	34	2	is	be	AUX
cana-4293	34	3	why	why	SCONJ
cana-4293	34	4	deep	deep	ADJ
cana-4293	34	5	transfer	transfer	NOUN
cana-4293	34	6	learning	learning	NOUN
cana-4293	34	7	is	be	AUX
cana-4293	34	8	being	be	AUX
cana-4293	34	9	touted	tout	VERB
cana-4293	34	10	as	as	ADP
cana-4293	34	11	a	a	DET
cana-4293	34	12	way	way	NOUN
cana-4293	34	13	to	to	PART
cana-4293	34	14	make	make	VERB
cana-4293	34	15	breast	breast	NOUN
cana-4293	34	16	cancer	cancer	NOUN
cana-4293	34	17	prediction	prediction	NOUN
cana-4293	34	18	models	model	VERB
cana-4293	34	19	more	more	ADV
cana-4293	34	20	accurate	accurate	ADJ
cana-4293	34	21	and	and	CCONJ
cana-4293	34	22	precise	precise	ADJ
cana-4293	34	23	[	[	X
cana-4293	34	24	15	15	NUM
cana-4293	34	25	]	]	PUNCT
cana-4293	34	26	.	.	PUNCT
cana-4293	35	1	the	the	DET
cana-4293	35	2	ease	ease	NOUN
cana-4293	35	3	with	with	ADP
cana-4293	35	4	which	which	PRON
cana-4293	35	5	fast	fast	ADJ
cana-4293	35	6	ai	ai	VERB
cana-4293	35	7	can	can	AUX
cana-4293	35	8	include	include	VERB
cana-4293	35	9	transfer	transfer	NOUN
cana-4293	35	10	learning	learning	NOUN
cana-4293	35	11	models	model	NOUN
cana-4293	35	12	makes	make	VERB
cana-4293	35	13	it	it	PRON
cana-4293	35	14	a	a	DET
cana-4293	35	15	popular	popular	ADJ
cana-4293	35	16	deep	deep	ADJ
cana-4293	35	17	learning	learning	NOUN
cana-4293	35	18	tool	tool	NOUN
cana-4293	36	1	[	[	X
cana-4293	36	2	16	16	NUM
cana-4293	36	3	]	]	PUNCT
cana-4293	36	4	.	.	PUNCT
cana-4293	37	1	feature	feature	NOUN
cana-4293	37	2	extraction	extraction	NOUN
cana-4293	37	3	from	from	ADP
cana-4293	37	4	high	high	ADJ
cana-4293	37	5	-	-	PUNCT
cana-4293	37	6	dimensional	dimensional	ADJ
cana-4293	37	7	image	image	NOUN
cana-4293	37	8	data	datum	NOUN
cana-4293	37	9	is	be	AUX
cana-4293	37	10	a	a	DET
cana-4293	37	11	breeze	breeze	NOUN
cana-4293	37	12	using	use	VERB
cana-4293	37	13	sqeezenet	sqeezenet	NOUN
cana-4293	37	14	's	's	PART
cana-4293	37	15	deep	deep	ADJ
cana-4293	37	16	neural	neural	ADJ
cana-4293	37	17	network	network	NOUN
cana-4293	37	18	due	due	ADP
cana-4293	37	19	to	to	ADP
cana-4293	37	20	its	its	PRON
cana-4293	37	21	tiny	tiny	ADJ
cana-4293	37	22	size	size	NOUN
cana-4293	37	23	and	and	CCONJ
cana-4293	37	24	great	great	ADJ
cana-4293	37	25	efficacy	efficacy	NOUN
cana-4293	37	26	[	[	X
cana-4293	37	27	17	17	NUM
cana-4293	37	28	-	-	SYM
cana-4293	37	29	20	20	NUM
cana-4293	37	30	]	]	PUNCT
cana-4293	37	31	.	.	PUNCT
cana-4293	38	1	the	the	DET
cana-4293	38	2	main	main	ADJ
cana-4293	38	3	contribution	contribution	NOUN
cana-4293	38	4	of	of	ADP
cana-4293	38	5	the	the	DET
cana-4293	38	6	paper	paper	NOUN
cana-4293	38	7	is	be	AUX
cana-4293	38	8	➢	➢	NOUN
cana-4293	38	9	prediction	prediction	NOUN
cana-4293	38	10	using	use	VERB
cana-4293	38	11	cvbn	cvbn	NOUN
cana-4293	38	12	the	the	DET
cana-4293	38	13	rest	rest	NOUN
cana-4293	38	14	of	of	ADP
cana-4293	38	15	the	the	DET
cana-4293	38	16	article	article	NOUN
cana-4293	38	17	as	as	SCONJ
cana-4293	38	18	follows	follow	VERB
cana-4293	38	19	in	in	ADP
cana-4293	38	20	section	section	NOUN
cana-4293	38	21	2	2	NUM
cana-4293	38	22	,	,	PUNCT
cana-4293	38	23	a	a	DET
cana-4293	38	24	number	number	NOUN
cana-4293	38	25	of	of	ADP
cana-4293	38	26	writers	writer	NOUN
cana-4293	38	27	discuss	discuss	VERB
cana-4293	38	28	different	different	ADJ
cana-4293	38	29	approaches	approach	NOUN
cana-4293	38	30	of	of	ADP
cana-4293	38	31	detecting	detect	VERB
cana-4293	38	32	breast	breast	NOUN
cana-4293	38	33	cancer	cancer	NOUN
cana-4293	38	34	.	.	PUNCT
cana-4293	39	1	on	on	ADP
cana-4293	39	2	display	display	NOUN
cana-4293	39	3	in	in	ADP
cana-4293	39	4	section	section	NOUN
cana-4293	39	5	3	3	NUM
cana-4293	39	6	is	be	AUX
cana-4293	39	7	the	the	DET
cana-4293	39	8	cvbn	cvbn	NOUN
cana-4293	39	9	method	method	NOUN
cana-4293	39	10	.	.	PUNCT
cana-4293	40	1	the	the	DET
cana-4293	40	2	investigation	investigation	NOUN
cana-4293	40	3	's	's	PART
cana-4293	40	4	findings	finding	NOUN
cana-4293	40	5	are	be	AUX
cana-4293	40	6	summarised	summarise	VERB
cana-4293	40	7	in	in	ADP
cana-4293	40	8	section	section	NOUN
cana-4293	40	9	4	4	NUM
cana-4293	40	10	.	.	PUNCT
cana-4293	41	1	a	a	DET
cana-4293	41	2	discussion	discussion	NOUN
cana-4293	41	3	of	of	ADP
cana-4293	41	4	the	the	DET
cana-4293	41	5	outcome	outcome	NOUN
cana-4293	41	6	and	and	CCONJ
cana-4293	41	7	potential	potential	ADJ
cana-4293	41	8	future	future	ADJ
cana-4293	41	9	research	research	NOUN
cana-4293	41	10	discussed	discuss	VERB
cana-4293	41	11	with	with	ADP
cana-4293	41	12	section	section	NOUN
cana-4293	41	13	5	5	NUM
cana-4293	41	14	.	.	NOUN
cana-4293	41	15	1.1	1.1	NUM
cana-4293	41	16	motivation	motivation	NOUN
cana-4293	41	17	of	of	ADP
cana-4293	41	18	the	the	DET
cana-4293	41	19	paper	paper	NOUN
cana-4293	41	20	our	our	PRON
cana-4293	41	21	research	research	NOUN
cana-4293	41	22	is	be	AUX
cana-4293	41	23	to	to	PART
cana-4293	41	24	tackle	tackle	VERB
cana-4293	41	25	the	the	DET
cana-4293	41	26	pressing	press	VERB
cana-4293	41	27	need	need	NOUN
cana-4293	41	28	for	for	ADP
cana-4293	41	29	early	early	ADJ
cana-4293	41	30	detection	detection	NOUN
cana-4293	41	31	of	of	ADP
cana-4293	41	32	breast	breast	NOUN
cana-4293	41	33	cancer	cancer	NOUN
cana-4293	41	34	,	,	PUNCT
cana-4293	41	35	a	a	DET
cana-4293	41	36	prevalent	prevalent	NOUN
cana-4293	41	37	and	and	CCONJ
cana-4293	41	38	sometimes	sometimes	ADV
cana-4293	41	39	deadly	deadly	ADJ
cana-4293	41	40	illness	illness	NOUN
cana-4293	41	41	affecting	affect	VERB
cana-4293	41	42	women	woman	NOUN
cana-4293	41	43	worldwide	worldwide	ADV
cana-4293	41	44	.	.	PUNCT
cana-4293	42	1	this	this	DET
cana-4293	42	2	study	study	NOUN
cana-4293	42	3	employs	employ	VERB
cana-4293	42	4	deep	deep	ADJ
cana-4293	42	5	learning	learning	NOUN
cana-4293	42	6	and	and	CCONJ
cana-4293	42	7	transfer	transfer	NOUN
cana-4293	42	8	learning	learning	NOUN
cana-4293	42	9	,	,	PUNCT
cana-4293	42	10	specifically	specifically	ADV
cana-4293	42	11	via	via	ADP
cana-4293	42	12	the	the	DET
cana-4293	42	13	novel	novel	ADJ
cana-4293	42	14	cvbn	cvbn	NOUN
cana-4293	42	15	architecture	architecture	NOUN
cana-4293	42	16	,	,	PUNCT
cana-4293	42	17	to	to	PART
cana-4293	42	18	enhance	enhance	VERB
cana-4293	42	19	the	the	DET
cana-4293	42	20	precision	precision	NOUN
cana-4293	42	21	of	of	ADP
cana-4293	42	22	breast	breast	NOUN
cana-4293	42	23	cancer	cancer	NOUN
cana-4293	42	24	prediction	prediction	NOUN
cana-4293	42	25	.	.	PUNCT
cana-4293	43	1	compared	compare	VERB
cana-4293	43	2	to	to	ADP
cana-4293	43	3	previous	previous	ADJ
cana-4293	43	4	methods	method	NOUN
cana-4293	43	5	,	,	PUNCT
cana-4293	43	6	the	the	DET
cana-4293	43	7	cvbn	cvbn	NOUN
cana-4293	43	8	architecture	architecture	NOUN
cana-4293	43	9	achieves	achieve	VERB
cana-4293	43	10	better	well	ADJ
cana-4293	43	11	sensitivity	sensitivity	NOUN
cana-4293	43	12	,	,	PUNCT
cana-4293	43	13	specificity	specificity	NOUN
cana-4293	43	14	,	,	PUNCT
cana-4293	43	15	and	and	CCONJ
cana-4293	43	16	accuracy	accuracy	NOUN
cana-4293	43	17	thanks	thank	NOUN
cana-4293	43	18	to	to	ADP
cana-4293	43	19	its	its	PRON
cana-4293	43	20	use	use	NOUN
cana-4293	43	21	of	of	ADP
cana-4293	43	22	bi	bi	NOUN
cana-4293	43	23	-	-	NOUN
cana-4293	43	24	lstm	lstm	NOUN
cana-4293	43	25	for	for	ADP
cana-4293	43	26	temporal	temporal	ADJ
cana-4293	43	27	dependency	dependency	NOUN
cana-4293	43	28	capture	capture	NOUN
cana-4293	43	29	and	and	CCONJ
cana-4293	43	30	vgg19	vgg19	VERB
cana-4293	43	31	for	for	ADP
cana-4293	43	32	robust	robust	ADJ
cana-4293	43	33	feature	feature	NOUN
cana-4293	43	34	extraction	extraction	NOUN
cana-4293	43	35	from	from	ADP
cana-4293	43	36	mammography	mammography	NOUN
cana-4293	43	37	images	image	NOUN
cana-4293	43	38	.	.	PUNCT
cana-4293	44	1	ii	ii	PROPN
cana-4293	44	2	.	.	PUNCT
cana-4293	44	3	background	background	PROPN
cana-4293	44	4	study	study	PROPN
cana-4293	44	5	ahmad	ahmad	PROPN
cana-4293	44	6	,	,	PUNCT
cana-4293	44	7	h.	h.	PROPN
cana-4293	44	8	m.	m.	PROPN
cana-4293	44	9	et	et	PROPN
cana-4293	44	10	al	al	PROPN
cana-4293	44	11	.	.	PUNCT
cana-4293	45	1	[	[	X
cana-4293	45	2	1]these	1]these	ADJ
cana-4293	45	3	authors	author	NOUN
cana-4293	45	4	research	research	VERB
cana-4293	45	5	details	detail	NOUN
cana-4293	45	6	the	the	DET
cana-4293	45	7	implementation	implementation	NOUN
cana-4293	45	8	of	of	ADP
cana-4293	45	9	a	a	DET
cana-4293	45	10	transfer	transfer	NOUN
cana-4293	45	11	learning	learn	VERB
cana-4293	45	12	system	system	NOUN
cana-4293	45	13	for	for	ADP
cana-4293	45	14	the	the	DET
cana-4293	45	15	purpose	purpose	NOUN
cana-4293	45	16	of	of	ADP
cana-4293	45	17	breast	breast	NOUN
cana-4293	45	18	cancer	cancer	NOUN
cana-4293	45	19	histopathology	histopathology	NOUN
cana-4293	45	20	picture	picture	NOUN
cana-4293	45	21	type	type	NOUN
cana-4293	45	22	categorization	categorization	NOUN
cana-4293	45	23	.	.	PUNCT
cana-4293	46	1	we	we	PRON
cana-4293	46	2	improved	improve	VERB
cana-4293	46	3	upon	upon	SCONJ
cana-4293	46	4	the	the	DET
cana-4293	46	5	authors	author	NOUN
cana-4293	46	6	'	'	PART
cana-4293	46	7	66.7	66.7	NUM
cana-4293	46	8	percent	percent	NOUN
cana-4293	46	9	classification	classification	NOUN
cana-4293	46	10	accuracy	accuracy	NOUN
cana-4293	46	11	by	by	ADP
cana-4293	46	12	modifying	modify	VERB
cana-4293	46	13	three	three	NUM
cana-4293	46	14	pre	pre	ADJ
cana-4293	46	15	-	-	ADJ
cana-4293	46	16	trained	train	VERB
cana-4293	46	17	networks	network	NOUN
cana-4293	46	18	:	:	PUNCT
cana-4293	46	19	alexnet	alexnet	ADJ
cana-4293	46	20	,	,	PUNCT
cana-4293	46	21	googlenet	googlenet	NOUN
cana-4293	46	22	,	,	PUNCT
cana-4293	46	23	and	and	CCONJ
cana-4293	46	24	resnet	resnet	NOUN
cana-4293	46	25	.	.	PUNCT
cana-4293	47	1	the	the	DET
cana-4293	47	2	updated	update	VERB
cana-4293	47	3	networks	network	NOUN
cana-4293	47	4	now	now	ADV
cana-4293	47	5	reach	reach	VERB
cana-4293	47	6	an	an	DET
cana-4293	47	7	impressive	impressive	ADJ
cana-4293	47	8	85	85	NUM
cana-4293	47	9	percent	percent	NOUN
cana-4293	47	10	accuracy	accuracy	NOUN
cana-4293	47	11	.	.	PUNCT
cana-4293	48	1	computing	compute	VERB
cana-4293	48	2	time	time	NOUN
cana-4293	48	3	and	and	CCONJ
cana-4293	48	4	a	a	DET
cana-4293	48	5	short	short	ADJ
cana-4293	48	6	training	training	NOUN
cana-4293	48	7	set	set	NOUN
cana-4293	48	8	are	be	AUX
cana-4293	48	9	no	no	ADV
cana-4293	48	10	longer	long	ADV
cana-4293	48	11	problems	problem	NOUN
cana-4293	48	12	thanks	thank	NOUN
cana-4293	48	13	to	to	ADP
cana-4293	48	14	this	this	DET
cana-4293	48	15	method	method	NOUN
cana-4293	48	16	.	.	PUNCT
cana-4293	49	1	alhussan	alhussan	PROPN
cana-4293	49	2	,	,	PUNCT
cana-4293	49	3	a.	a.	PROPN
cana-4293	49	4	et	et	PROPN
cana-4293	49	5	al	al	PROPN
cana-4293	49	6	.	.	PUNCT
cana-4293	50	1	[	[	X
cana-4293	50	2	3	3	X
cana-4293	50	3	]	]	PUNCT
cana-4293	50	4	these	these	DET
cana-4293	50	5	authors	author	NOUN
cana-4293	50	6	introduced	introduce	VERB
cana-4293	50	7	a	a	DET
cana-4293	50	8	system	system	NOUN
cana-4293	50	9	that	that	PRON
cana-4293	50	10	can	can	AUX
cana-4293	50	11	automatically	automatically	ADV
cana-4293	50	12	categorise	categorise	VERB
cana-4293	50	13	breast	breast	NOUN
cana-4293	50	14	cancer	cancer	NOUN
cana-4293	50	15	patients	patient	NOUN
cana-4293	50	16	.	.	PUNCT
cana-4293	51	1	an	an	DET
cana-4293	51	2	innovative	innovative	ADJ
cana-4293	51	3	optimisation	optimisation	NOUN
cana-4293	51	4	strategy	strategy	NOUN
cana-4293	51	5	for	for	ADP
cana-4293	51	6	better	well	ADJ
cana-4293	51	7	breast	breast	NOUN
cana-4293	51	8	cancer	cancer	NOUN
cana-4293	51	9	case	case	NOUN
cana-4293	51	10	categorization	categorization	NOUN
cana-4293	51	11	has	have	AUX
cana-4293	51	12	been	be	AUX
cana-4293	51	13	devised	devise	VERB
cana-4293	51	14	by	by	ADP
cana-4293	51	15	researchers	researcher	NOUN
cana-4293	51	16	using	use	VERB
cana-4293	51	17	the	the	DET
cana-4293	51	18	aber	aber	PROPN
cana-4293	51	19	optimisation	optimisation	NOUN
cana-4293	51	20	algorithm	algorithm	NOUN
cana-4293	51	21	.	.	PUNCT
cana-4293	52	1	data	datum	NOUN
cana-4293	52	2	augmentation	augmentation	PROPN
cana-4293	52	3	,	,	PUNCT
cana-4293	52	4	alexnetbased	alexnetbase	VERB
cana-4293	52	5	feature	feature	NOUN
cana-4293	52	6	extraction	extraction	NOUN
cana-4293	52	7	via	via	ADP
cana-4293	52	8	transfer	transfer	NOUN
cana-4293	52	9	learning	learning	NOUN
cana-4293	52	10	,	,	PUNCT
cana-4293	52	11	and	and	CCONJ
cana-4293	52	12	cnn	cnn	PROPN
cana-4293	52	13	optimisation	optimisation	NOUN
cana-4293	52	14	for	for	ADP
cana-4293	52	15	classification	classification	NOUN
cana-4293	52	16	make	make	VERB
cana-4293	52	17	up	up	ADP
cana-4293	52	18	the	the	DET
cana-4293	52	19	three	three	NUM
cana-4293	52	20	stages	stage	NOUN
cana-4293	52	21	of	of	ADP
cana-4293	52	22	the	the	DET
cana-4293	52	23	suggested	suggest	VERB
cana-4293	52	24	method	method	NOUN
cana-4293	52	25	.	.	PUNCT
cana-4293	53	1	alzubaidi	alzubaidi	PROPN
cana-4293	53	2	,	,	PUNCT
cana-4293	53	3	l.	l.	PROPN
cana-4293	53	4	et	et	PROPN
cana-4293	53	5	al	al	PROPN
cana-4293	53	6	.	.	PUNCT
cana-4293	54	1	[	[	X
cana-4293	54	2	5	5	X
cana-4293	54	3	]	]	PUNCT
cana-4293	54	4	these	these	DET
cana-4293	54	5	authors	author	NOUN
cana-4293	54	6	research	research	NOUN
cana-4293	54	7	model	model	NOUN
cana-4293	54	8	is	be	AUX
cana-4293	54	9	a	a	DET
cana-4293	54	10	hybrid	hybrid	NOUN
cana-4293	54	11	of	of	ADP
cana-4293	54	12	two	two	NUM
cana-4293	54	13	ideas	idea	NOUN
cana-4293	54	14	:	:	PUNCT
cana-4293	54	15	residual	residual	ADJ
cana-4293	54	16	connections	connection	NOUN
cana-4293	54	17	and	and	CCONJ
cana-4293	54	18	parallel	parallel	ADJ
cana-4293	54	19	convolutions	convolution	NOUN
cana-4293	54	20	with	with	ADP
cana-4293	54	21	varying	vary	VERB
cana-4293	54	22	filter	filter	NOUN
cana-4293	54	23	sizes	size	NOUN
cana-4293	54	24	.	.	PUNCT
cana-4293	55	1	improved	improve	VERB
cana-4293	55	2	feature	feature	NOUN
cana-4293	55	3	representation	representation	NOUN
cana-4293	55	4	and	and	CCONJ
cana-4293	55	5	feature	feature	NOUN
cana-4293	55	6	combination	combination	NOUN
cana-4293	55	7	at	at	ADP
cana-4293	55	8	different	different	ADJ
cana-4293	55	9	levels	level	NOUN
cana-4293	55	10	are	be	AUX
cana-4293	55	11	significant	significant	ADJ
cana-4293	55	12	properties	property	NOUN
cana-4293	55	13	of	of	ADP
cana-4293	55	14	our	our	PRON
cana-4293	55	15	model	model	NOUN
cana-4293	55	16	's	's	PART
cana-4293	55	17	structural	structural	ADJ
cana-4293	55	18	architecture	architecture	NOUN
cana-4293	55	19	.	.	PUNCT
cana-4293	56	1	using	use	VERB
cana-4293	56	2	communications	communication	NOUN
cana-4293	56	3	on	on	ADP
cana-4293	56	4	applied	apply	VERB
cana-4293	56	5	nonlinear	nonlinear	ADJ
cana-4293	56	6	analysis	analysis	NOUN
cana-4293	56	7	issn	issn	NOUN
cana-4293	56	8	:	:	PUNCT
cana-4293	56	9	1074	1074	NUM
cana-4293	56	10	-	-	PUNCT
cana-4293	56	11	133x	133x	NUM
cana-4293	56	12	vol	vol	NOUN
cana-4293	56	13	32	32	NUM
cana-4293	56	14	no	no	NOUN
cana-4293	56	15	.	.	PUNCT
cana-4293	57	1	9s	9s	NUM
cana-4293	57	2	(	(	PUNCT
cana-4293	57	3	2025	2025	NUM
cana-4293	57	4	)	)	PUNCT
cana-4293	57	5	1743	1743	NUM
cana-4293	57	6	https://internationalpubls.co	https://internationalpubls.co	PROPN
cana-4293	57	7	m	m	PROPN
cana-4293	57	8	transfer	transfer	NOUN
cana-4293	57	9	learning	learning	NOUN
cana-4293	57	10	within	within	ADP
cana-4293	57	11	the	the	DET
cana-4293	57	12	same	same	ADJ
cana-4293	57	13	domain	domain	NOUN
cana-4293	57	14	,	,	PUNCT
cana-4293	57	15	we	we	PRON
cana-4293	57	16	have	have	AUX
cana-4293	57	17	proposed	propose	VERB
cana-4293	57	18	a	a	DET
cana-4293	57	19	technique	technique	NOUN
cana-4293	57	20	to	to	PART
cana-4293	57	21	address	address	VERB
cana-4293	57	22	the	the	DET
cana-4293	57	23	problem	problem	NOUN
cana-4293	57	24	of	of	ADP
cana-4293	57	25	insufficient	insufficient	ADJ
cana-4293	57	26	training	training	NOUN
cana-4293	57	27	pictures	picture	NOUN
cana-4293	57	28	.	.	PUNCT
cana-4293	58	1	chaudhury	chaudhury	PROPN
cana-4293	58	2	,	,	PUNCT
cana-4293	58	3	s.	s.	PROPN
cana-4293	58	4	et	et	PROPN
cana-4293	58	5	al	al	PROPN
cana-4293	58	6	.	.	PUNCT
cana-4293	59	1	[	[	X
cana-4293	59	2	7	7	X
cana-4293	59	3	]	]	PUNCT
cana-4293	59	4	these	these	DET
cana-4293	59	5	authors	author	NOUN
cana-4293	59	6	research	research	VERB
cana-4293	59	7	provide	provide	VERB
cana-4293	59	8	the	the	DET
cana-4293	59	9	most	most	ADV
cana-4293	59	10	recent	recent	ADJ
cana-4293	59	11	results	result	NOUN
cana-4293	59	12	from	from	ADP
cana-4293	59	13	idc	idc	PROPN
cana-4293	59	14	's	's	PART
cana-4293	59	15	texture	texture	ADJ
cana-4293	59	16	classification	classification	NOUN
cana-4293	59	17	experiments	experiment	NOUN
cana-4293	59	18	,	,	PUNCT
cana-4293	59	19	which	which	PRON
cana-4293	59	20	employed	employ	VERB
cana-4293	59	21	transfer	transfer	NOUN
cana-4293	59	22	learning	learn	VERB
cana-4293	59	23	with	with	ADP
cana-4293	59	24	super	super	ADJ
cana-4293	59	25	convergence	convergence	NOUN
cana-4293	59	26	.	.	PUNCT
cana-4293	60	1	in	in	ADP
cana-4293	60	2	order	order	NOUN
cana-4293	60	3	to	to	PART
cana-4293	60	4	better	well	ADV
cana-4293	60	5	explain	explain	VERB
cana-4293	60	6	and	and	CCONJ
cana-4293	60	7	demonstrate	demonstrate	VERB
cana-4293	60	8	how	how	SCONJ
cana-4293	60	9	neural	neural	ADJ
cana-4293	60	10	networks	network	NOUN
cana-4293	60	11	generate	generate	VERB
cana-4293	60	12	choices	choice	NOUN
cana-4293	60	13	,	,	PUNCT
cana-4293	60	14	the	the	DET
cana-4293	60	15	study	study	NOUN
cana-4293	60	16	also	also	ADV
cana-4293	60	17	takes	take	VERB
cana-4293	60	18	into	into	ADP
cana-4293	60	19	account	account	NOUN
cana-4293	60	20	an	an	DET
cana-4293	60	21	easily	easily	ADV
cana-4293	60	22	deployable	deployable	ADJ
cana-4293	60	23	dl	dl	NOUN
cana-4293	60	24	model	model	NOUN
cana-4293	60	25	and	and	CCONJ
cana-4293	60	26	network	network	NOUN
cana-4293	60	27	graphics	graphic	NOUN
cana-4293	60	28	.	.	PUNCT
cana-4293	61	1	squeeze	squeeze	NOUN
cana-4293	61	2	net	net	NOUN
cana-4293	61	3	,	,	PUNCT
cana-4293	61	4	a	a	DET
cana-4293	61	5	little	little	ADJ
cana-4293	61	6	model	model	NOUN
cana-4293	61	7	(	(	PUNCT
cana-4293	61	8	4.8	4.8	NUM
cana-4293	61	9	mb	mb	NOUN
cana-4293	61	10	)	)	PUNCT
cana-4293	61	11	,	,	PUNCT
cana-4293	61	12	is	be	AUX
cana-4293	61	13	used	use	VERB
cana-4293	61	14	to	to	PART
cana-4293	61	15	demonstrate	demonstrate	VERB
cana-4293	61	16	the	the	DET
cana-4293	61	17	outcomes	outcome	NOUN
cana-4293	61	18	.	.	PUNCT
cana-4293	62	1	several	several	ADJ
cana-4293	62	2	data	datum	NOUN
cana-4293	62	3	augmentation	augmentation	NOUN
cana-4293	62	4	methods	method	NOUN
cana-4293	62	5	,	,	PUNCT
cana-4293	62	6	such	such	ADJ
cana-4293	62	7	as	as	ADP
cana-4293	62	8	structurepreserving	structurepreserve	VERB
cana-4293	62	9	colour	colour	NOUN
cana-4293	62	10	normalisation	normalisation	NOUN
cana-4293	62	11	,	,	PUNCT
cana-4293	62	12	were	be	AUX
cana-4293	62	13	used	use	VERB
cana-4293	62	14	to	to	PART
cana-4293	62	15	enhance	enhance	VERB
cana-4293	62	16	the	the	DET
cana-4293	62	17	results	result	NOUN
cana-4293	62	18	.	.	PUNCT
cana-4293	63	1	dutta	dutta	PROPN
cana-4293	63	2	,	,	PUNCT
cana-4293	63	3	s.	s.	PROPN
cana-4293	63	4	et	et	PROPN
cana-4293	63	5	al	al	PROPN
cana-4293	63	6	.	.	PUNCT
cana-4293	64	1	[	[	X
cana-4293	64	2	9	9	NUM
cana-4293	64	3	]	]	PUNCT
cana-4293	64	4	care	care	NOUN
cana-4293	64	5	must	must	AUX
cana-4293	64	6	be	be	AUX
cana-4293	64	7	used	use	VERB
cana-4293	64	8	while	while	SCONJ
cana-4293	64	9	dealing	deal	VERB
cana-4293	64	10	with	with	ADP
cana-4293	64	11	breast	breast	NOUN
cana-4293	64	12	cancer	cancer	NOUN
cana-4293	64	13	since	since	SCONJ
cana-4293	64	14	it	it	PRON
cana-4293	64	15	is	be	AUX
cana-4293	64	16	a	a	DET
cana-4293	64	17	serious	serious	ADJ
cana-4293	64	18	condition	condition	NOUN
cana-4293	64	19	.	.	PUNCT
cana-4293	65	1	patients	patient	NOUN
cana-4293	65	2	'	'	PART
cana-4293	65	3	lives	life	NOUN
cana-4293	65	4	can	can	AUX
cana-4293	65	5	be	be	AUX
cana-4293	65	6	greatly	greatly	ADV
cana-4293	65	7	improved	improve	VERB
cana-4293	65	8	by	by	ADP
cana-4293	65	9	detecting	detect	VERB
cana-4293	65	10	this	this	DET
cana-4293	65	11	condition	condition	NOUN
cana-4293	65	12	at	at	ADP
cana-4293	65	13	an	an	DET
cana-4293	65	14	early	early	ADJ
cana-4293	65	15	stage	stage	NOUN
cana-4293	65	16	.	.	PUNCT
cana-4293	66	1	the	the	DET
cana-4293	66	2	study	study	NOUN
cana-4293	66	3	's	's	PART
cana-4293	66	4	overarching	overarching	ADJ
cana-4293	66	5	goal	goal	NOUN
cana-4293	66	6	is	be	AUX
cana-4293	66	7	to	to	PART
cana-4293	66	8	ascertain	ascertain	VERB
cana-4293	66	9	the	the	DET
cana-4293	66	10	likelihood	likelihood	NOUN
cana-4293	66	11	of	of	ADP
cana-4293	66	12	being	be	AUX
cana-4293	66	13	impacted	impact	VERB
cana-4293	66	14	by	by	ADP
cana-4293	66	15	breast	breast	NOUN
cana-4293	66	16	cancer	cancer	NOUN
cana-4293	66	17	illness	illness	NOUN
cana-4293	66	18	and	and	CCONJ
cana-4293	66	19	to	to	PART
cana-4293	66	20	identify	identify	VERB
cana-4293	66	21	the	the	DET
cana-4293	66	22	practicability	practicability	NOUN
cana-4293	66	23	of	of	ADP
cana-4293	66	24	using	use	VERB
cana-4293	66	25	past	past	ADJ
cana-4293	66	26	medical	medical	ADJ
cana-4293	66	27	information	information	NOUN
cana-4293	66	28	.	.	PUNCT
cana-4293	67	1	guan	guan	PROPN
cana-4293	67	2	,	,	PUNCT
cana-4293	67	3	s.	s.	PROPN
cana-4293	67	4	,	,	PUNCT
cana-4293	67	5	&	&	CCONJ
cana-4293	67	6	loew	loew	PROPN
cana-4293	67	7	,	,	PUNCT
cana-4293	67	8	m.[11	m.[11	PROPN
cana-4293	67	9	]	]	X
cana-4293	67	10	a	a	DET
cana-4293	67	11	delicate	delicate	ADJ
cana-4293	67	12	approach	approach	NOUN
cana-4293	67	13	is	be	AUX
cana-4293	67	14	required	require	VERB
cana-4293	67	15	when	when	SCONJ
cana-4293	67	16	dealing	deal	VERB
cana-4293	67	17	with	with	ADP
cana-4293	67	18	the	the	DET
cana-4293	67	19	serious	serious	ADJ
cana-4293	67	20	illness	illness	NOUN
cana-4293	67	21	that	that	PRON
cana-4293	67	22	is	be	AUX
cana-4293	67	23	breast	breast	NOUN
cana-4293	67	24	cancer	cancer	NOUN
cana-4293	67	25	.	.	PUNCT
cana-4293	68	1	early	early	ADJ
cana-4293	68	2	diagnosis	diagnosis	NOUN
cana-4293	68	3	of	of	ADP
cana-4293	68	4	this	this	DET
cana-4293	68	5	condition	condition	NOUN
cana-4293	68	6	is	be	AUX
cana-4293	68	7	crucial	crucial	ADJ
cana-4293	68	8	for	for	ADP
cana-4293	68	9	patient	patient	ADJ
cana-4293	68	10	survival	survival	NOUN
cana-4293	68	11	.	.	PUNCT
cana-4293	69	1	finding	find	VERB
cana-4293	69	2	out	out	ADP
cana-4293	69	3	how	how	SCONJ
cana-4293	69	4	likely	likely	ADJ
cana-4293	69	5	it	it	PRON
cana-4293	69	6	is	be	AUX
cana-4293	69	7	that	that	SCONJ
cana-4293	69	8	you	you	PRON
cana-4293	69	9	would	would	AUX
cana-4293	69	10	be	be	AUX
cana-4293	69	11	impacted	impact	VERB
cana-4293	69	12	by	by	ADP
cana-4293	69	13	breast	breast	NOUN
cana-4293	69	14	cancer	cancer	NOUN
cana-4293	69	15	illness	illness	NOUN
cana-4293	69	16	and	and	CCONJ
cana-4293	69	17	if	if	SCONJ
cana-4293	69	18	it	it	PRON
cana-4293	69	19	is	be	AUX
cana-4293	69	20	feasible	feasible	ADJ
cana-4293	69	21	to	to	PART
cana-4293	69	22	use	use	VERB
cana-4293	69	23	prior	prior	ADJ
cana-4293	69	24	medical	medical	ADJ
cana-4293	69	25	information	information	NOUN
cana-4293	69	26	are	be	AUX
cana-4293	69	27	the	the	DET
cana-4293	69	28	two	two	NUM
cana-4293	69	29	main	main	ADJ
cana-4293	69	30	goals	goal	NOUN
cana-4293	69	31	of	of	ADP
cana-4293	69	32	this	this	DET
cana-4293	69	33	research	research	NOUN
cana-4293	69	34	.	.	PUNCT
cana-4293	70	1	a	a	DET
cana-4293	70	2	model	model	NOUN
cana-4293	70	3	based	base	VERB
cana-4293	70	4	on	on	ADP
cana-4293	70	5	stacked	stacked	PROPN
cana-4293	70	6	gru	gru	PROPN
cana-4293	70	7	-	-	ADJ
cana-4293	70	8	lstm	lstm	ADJ
cana-4293	70	9	layers	layer	NOUN
cana-4293	70	10	was	be	AUX
cana-4293	70	11	designed	design	VERB
cana-4293	70	12	and	and	CCONJ
cana-4293	70	13	built	build	VERB
cana-4293	70	14	in	in	ADP
cana-4293	70	15	this	this	DET
cana-4293	70	16	research	research	NOUN
cana-4293	70	17	using	use	VERB
cana-4293	70	18	deep	deep	ADJ
cana-4293	70	19	learning	learning	NOUN
cana-4293	70	20	techniques	technique	NOUN
cana-4293	70	21	.	.	PUNCT
cana-4293	71	1	tan	tan	PROPN
cana-4293	71	2	,	,	PUNCT
cana-4293	71	3	y.	y.	PROPN
cana-4293	71	4	et	et	PROPN
cana-4293	71	5	al	al	PROPN
cana-4293	71	6	.	.	PUNCT
cana-4293	72	1	[	[	X
cana-4293	72	2	17	17	NUM
cana-4293	72	3	]	]	PUNCT
cana-4293	72	4	feature	feature	NOUN
cana-4293	72	5	extraction	extraction	NOUN
cana-4293	72	6	from	from	ADP
cana-4293	72	7	several	several	ADJ
cana-4293	72	8	participant	participant	ADJ
cana-4293	72	9	settings	setting	NOUN
cana-4293	72	10	,	,	PUNCT
cana-4293	72	11	rather	rather	ADV
cana-4293	72	12	than	than	ADP
cana-4293	72	13	a	a	DET
cana-4293	72	14	centralised	centralised	ADJ
cana-4293	72	15	learning	learning	NOUN
cana-4293	72	16	facility	facility	NOUN
cana-4293	72	17	,	,	PUNCT
cana-4293	72	18	was	be	AUX
cana-4293	72	19	proposed	propose	VERB
cana-4293	72	20	as	as	ADP
cana-4293	72	21	a	a	DET
cana-4293	72	22	method	method	NOUN
cana-4293	72	23	for	for	ADP
cana-4293	72	24	breast	breast	NOUN
cana-4293	72	25	cancer	cancer	NOUN
cana-4293	72	26	picture	picture	NOUN
cana-4293	72	27	classification	classification	NOUN
cana-4293	72	28	in	in	ADP
cana-4293	72	29	this	this	DET
cana-4293	72	30	research	research	NOUN
cana-4293	72	31	.	.	PUNCT
cana-4293	73	1	to	to	PART
cana-4293	73	2	train	train	VERB
cana-4293	73	3	the	the	DET
cana-4293	73	4	model	model	NOUN
cana-4293	73	5	to	to	PART
cana-4293	73	6	be	be	AUX
cana-4293	73	7	fully	fully	ADV
cana-4293	73	8	data	datum	NOUN
cana-4293	73	9	decentralised	decentralise	VERB
cana-4293	73	10	,	,	PUNCT
cana-4293	73	11	without	without	ADP
cana-4293	73	12	sharing	share	VERB
cana-4293	73	13	any	any	DET
cana-4293	73	14	data	datum	NOUN
cana-4293	73	15	across	across	ADP
cana-4293	73	16	hospitals	hospital	NOUN
cana-4293	73	17	,	,	PUNCT
cana-4293	73	18	a	a	DET
cana-4293	73	19	collection	collection	NOUN
cana-4293	73	20	of	of	ADP
cana-4293	73	21	international	international	ADJ
cana-4293	73	22	medical	medical	ADJ
cana-4293	73	23	imaging	imaging	NOUN
cana-4293	73	24	centres	centre	NOUN
cana-4293	73	25	and	and	CCONJ
cana-4293	73	26	hospitals	hospital	NOUN
cana-4293	73	27	worked	work	VERB
cana-4293	73	28	together	together	ADV
cana-4293	73	29	in	in	ADP
cana-4293	73	30	the	the	DET
cana-4293	73	31	centralised	centralised	ADJ
cana-4293	73	32	environment	environment	NOUN
cana-4293	73	33	.	.	PUNCT
cana-4293	74	1	2.1	2.1	NUM
cana-4293	74	2	problem	problem	NOUN
cana-4293	74	3	definition	definition	NOUN
cana-4293	74	4	breast	breast	NOUN
cana-4293	74	5	cancer	cancer	NOUN
cana-4293	74	6	,	,	PUNCT
cana-4293	74	7	which	which	PRON
cana-4293	74	8	affects	affect	VERB
cana-4293	74	9	many	many	ADJ
cana-4293	74	10	women	woman	NOUN
cana-4293	74	11	throughout	throughout	ADP
cana-4293	74	12	the	the	DET
cana-4293	74	13	globe	globe	NOUN
cana-4293	74	14	,	,	PUNCT
cana-4293	74	15	begins	begin	VERB
cana-4293	74	16	with	with	ADP
cana-4293	74	17	the	the	DET
cana-4293	74	18	uncontrolled	uncontrolled	ADJ
cana-4293	74	19	growth	growth	NOUN
cana-4293	74	20	of	of	ADP
cana-4293	74	21	cells	cell	NOUN
cana-4293	74	22	in	in	ADP
cana-4293	74	23	the	the	DET
cana-4293	74	24	breast	breast	NOUN
cana-4293	74	25	tissue	tissue	NOUN
cana-4293	74	26	.	.	PUNCT
cana-4293	75	1	discovery	discovery	NOUN
cana-4293	75	2	must	must	AUX
cana-4293	75	3	occur	occur	VERB
cana-4293	75	4	quickly	quickly	ADV
cana-4293	75	5	if	if	SCONJ
cana-4293	75	6	we	we	PRON
cana-4293	75	7	are	be	AUX
cana-4293	75	8	to	to	PART
cana-4293	75	9	improve	improve	VERB
cana-4293	75	10	patient	patient	ADJ
cana-4293	75	11	survival	survival	NOUN
cana-4293	75	12	rates	rate	NOUN
cana-4293	75	13	and	and	CCONJ
cana-4293	75	14	guarantee	guarantee	VERB
cana-4293	75	15	successful	successful	ADJ
cana-4293	75	16	therapy	therapy	NOUN
cana-4293	75	17	.	.	PUNCT
cana-4293	76	1	using	use	VERB
cana-4293	76	2	the	the	DET
cana-4293	76	3	cvbn	cvbn	NOUN
cana-4293	76	4	architecture	architecture	NOUN
cana-4293	76	5	,	,	PUNCT
cana-4293	76	6	which	which	PRON
cana-4293	76	7	stands	stand	VERB
cana-4293	76	8	for	for	ADP
cana-4293	76	9	cascaded	cascade	VERB
cana-4293	76	10	vgg19	vgg19	NOUN
cana-4293	76	11	with	with	ADP
cana-4293	76	12	bidirectional	bidirectional	ADJ
cana-4293	76	13	long	long	ADJ
cana-4293	76	14	short	short	ADJ
cana-4293	76	15	-	-	PUNCT
cana-4293	76	16	term	term	NOUN
cana-4293	76	17	memory	memory	NOUN
cana-4293	76	18	,	,	PUNCT
cana-4293	76	19	this	this	DET
cana-4293	76	20	work	work	NOUN
cana-4293	76	21	aims	aim	VERB
cana-4293	76	22	to	to	PART
cana-4293	76	23	address	address	VERB
cana-4293	76	24	the	the	DET
cana-4293	76	25	issue	issue	NOUN
cana-4293	76	26	of	of	ADP
cana-4293	76	27	early	early	ADJ
cana-4293	76	28	breast	breast	NOUN
cana-4293	76	29	cancer	cancer	NOUN
cana-4293	76	30	detection	detection	NOUN
cana-4293	76	31	.	.	PUNCT
cana-4293	77	1	this	this	DET
cana-4293	77	2	novel	novel	ADJ
cana-4293	77	3	approach	approach	NOUN
cana-4293	77	4	employs	employ	VERB
cana-4293	77	5	pre	pre	ADJ
cana-4293	77	6	-	-	ADJ
cana-4293	77	7	trained	train	VERB
cana-4293	77	8	vgg19	vgg19	NOUN
cana-4293	77	9	to	to	PART
cana-4293	77	10	extract	extract	VERB
cana-4293	77	11	intricate	intricate	ADJ
cana-4293	77	12	information	information	NOUN
cana-4293	77	13	from	from	ADP
cana-4293	77	14	mammography	mammography	NOUN
cana-4293	77	15	images	image	NOUN
cana-4293	77	16	.	.	PUNCT
cana-4293	78	1	next	next	ADV
cana-4293	78	2	,	,	PUNCT
cana-4293	78	3	we	we	PRON
cana-4293	78	4	use	use	VERB
cana-4293	78	5	bi	bi	NOUN
cana-4293	78	6	-	-	NOUN
cana-4293	78	7	lstm	lstm	ADJ
cana-4293	78	8	to	to	PART
cana-4293	78	9	pick	pick	VERB
cana-4293	78	10	up	up	ADP
cana-4293	78	11	on	on	ADP
cana-4293	78	12	recurring	recur	VERB
cana-4293	78	13	patterns	pattern	NOUN
cana-4293	78	14	and	and	CCONJ
cana-4293	78	15	correlations	correlation	NOUN
cana-4293	78	16	throughout	throughout	ADP
cana-4293	78	17	time	time	NOUN
cana-4293	78	18	.	.	PUNCT
cana-4293	79	1	results	result	NOUN
cana-4293	79	2	from	from	ADP
cana-4293	79	3	tests	test	NOUN
cana-4293	79	4	on	on	ADP
cana-4293	79	5	many	many	ADJ
cana-4293	79	6	breast	breast	NOUN
cana-4293	79	7	cancer	cancer	NOUN
cana-4293	79	8	datasets	dataset	NOUN
cana-4293	79	9	show	show	VERB
cana-4293	79	10	that	that	SCONJ
cana-4293	79	11	the	the	DET
cana-4293	79	12	cvbn	cvbn	NOUN
cana-4293	79	13	architecture	architecture	NOUN
cana-4293	79	14	is	be	AUX
cana-4293	79	15	more	more	ADV
cana-4293	79	16	accurate	accurate	ADJ
cana-4293	79	17	,	,	PUNCT
cana-4293	79	18	sensitive	sensitive	ADJ
cana-4293	79	19	,	,	PUNCT
cana-4293	79	20	and	and	CCONJ
cana-4293	79	21	specific	specific	ADJ
cana-4293	79	22	than	than	ADP
cana-4293	79	23	conventional	conventional	ADJ
cana-4293	79	24	methods	method	NOUN
cana-4293	79	25	.	.	PUNCT
cana-4293	80	1	iii	iii	X
cana-4293	80	2	.	.	PUNCT
cana-4293	80	3	materials	material	NOUN
cana-4293	80	4	and	and	CCONJ
cana-4293	80	5	methods	method	NOUN
cana-4293	80	6	in	in	ADP
cana-4293	80	7	this	this	DET
cana-4293	80	8	section	section	NOUN
cana-4293	80	9	,	,	PUNCT
cana-4293	80	10	the	the	DET
cana-4293	80	11	proposed	propose	VERB
cana-4293	80	12	method	method	NOUN
cana-4293	80	13	focuses	focus	VERB
cana-4293	80	14	on	on	ADP
cana-4293	80	15	utilizing	utilize	VERB
cana-4293	80	16	a	a	DET
cana-4293	80	17	cascaded	cascade	VERB
cana-4293	80	18	vgg19	vgg19	NOUN
cana-4293	80	19	with	with	ADP
cana-4293	80	20	bi	bi	ADJ
cana-4293	80	21	-	-	ADJ
cana-4293	80	22	lstm	lstm	ADJ
cana-4293	80	23	architecture	architecture	NOUN
cana-4293	80	24	,	,	PUNCT
cana-4293	80	25	termed	term	VERB
cana-4293	80	26	cvbn	cvbn	NOUN
cana-4293	80	27	,	,	PUNCT
cana-4293	80	28	for	for	ADP
cana-4293	80	29	enhancing	enhance	VERB
cana-4293	80	30	the	the	DET
cana-4293	80	31	accuracy	accuracy	NOUN
cana-4293	80	32	of	of	ADP
cana-4293	80	33	image	image	NOUN
cana-4293	80	34	processing	processing	NOUN
cana-4293	80	35	tasks	task	NOUN
cana-4293	80	36	.	.	PUNCT
cana-4293	81	1	the	the	DET
cana-4293	81	2	vgg19	vgg19	PROPN
cana-4293	81	3	model	model	NOUN
cana-4293	81	4	is	be	AUX
cana-4293	81	5	employed	employ	VERB
cana-4293	81	6	initially	initially	ADV
cana-4293	81	7	to	to	PART
cana-4293	81	8	extract	extract	VERB
cana-4293	81	9	high	high	ADJ
cana-4293	81	10	-	-	PUNCT
cana-4293	81	11	level	level	NOUN
cana-4293	81	12	features	feature	NOUN
cana-4293	81	13	from	from	ADP
cana-4293	81	14	input	input	NOUN
cana-4293	81	15	images	image	NOUN
cana-4293	81	16	,	,	PUNCT
cana-4293	81	17	capturing	capture	VERB
cana-4293	81	18	intricate	intricate	ADJ
cana-4293	81	19	details	detail	NOUN
cana-4293	81	20	effectively	effectively	ADV
cana-4293	81	21	.	.	PUNCT
cana-4293	82	1	communications	communication	NOUN
cana-4293	82	2	on	on	ADP
cana-4293	82	3	applied	apply	VERB
cana-4293	82	4	nonlinear	nonlinear	ADJ
cana-4293	82	5	analysis	analysis	NOUN
cana-4293	82	6	issn	issn	NOUN
cana-4293	82	7	:	:	PUNCT
cana-4293	82	8	1074	1074	NUM
cana-4293	82	9	-	-	PUNCT
cana-4293	82	10	133x	133x	NUM
cana-4293	82	11	vol	vol	NOUN
cana-4293	82	12	32	32	NUM
cana-4293	82	13	no	no	NOUN
cana-4293	82	14	.	.	PUNCT
cana-4293	83	1	9s	9s	NUM
cana-4293	83	2	(	(	PUNCT
cana-4293	83	3	2025	2025	NUM
cana-4293	83	4	)	)	PUNCT
cana-4293	83	5	1744	1744	NUM
cana-4293	83	6	https://internationalpubls.co	https://internationalpubls.co	X
cana-4293	83	7	m	m	PROPN
cana-4293	83	8	3.1	3.1	NUM
cana-4293	83	9	dataset	dataset	NOUN
cana-4293	83	10	collection	collection	NOUN
cana-4293	83	11	the	the	DET
cana-4293	83	12	dataset	dataset	NOUN
cana-4293	83	13	collected	collect	VERB
cana-4293	83	14	from	from	ADP
cana-4293	83	15	mendeley	mendeley	NOUN
cana-4293	83	16	repository	repository	NOUN
cana-4293	83	17	https://data.mendeley.com/datasets/ywsbh3ndr8/2	https://data.mendeley.com/datasets/ywsbh3ndr8/2	PROPN
cana-4293	83	18	is	be	AUX
cana-4293	83	19	a	a	DET
cana-4293	83	20	substantial	substantial	ADJ
cana-4293	83	21	resource	resource	NOUN
cana-4293	83	22	for	for	ADP
cana-4293	83	23	the	the	DET
cana-4293	83	24	early	early	ADJ
cana-4293	83	25	diagnosis	diagnosis	NOUN
cana-4293	83	26	of	of	ADP
cana-4293	83	27	breast	breast	NOUN
cana-4293	83	28	cancer	cancer	NOUN
cana-4293	83	29	.	.	PUNCT
cana-4293	84	1	with	with	ADP
cana-4293	84	2	a	a	DET
cana-4293	84	3	size	size	NOUN
cana-4293	84	4	of	of	ADP
cana-4293	84	5	786	786	NUM
cana-4293	84	6	mb	mb	NOUN
cana-4293	84	7	,	,	PUNCT
cana-4293	84	8	it	it	PRON
cana-4293	84	9	comprises	comprise	VERB
cana-4293	84	10	a	a	DET
cana-4293	84	11	collection	collection	NOUN
cana-4293	84	12	of	of	ADP
cana-4293	84	13	image	image	NOUN
cana-4293	84	14	files	file	NOUN
cana-4293	84	15	in	in	ADP
cana-4293	84	16	png	png	NOUN
cana-4293	84	17	format	format	NOUN
cana-4293	84	18	and	and	CCONJ
cana-4293	84	19	is	be	AUX
cana-4293	84	20	organized	organize	VERB
cana-4293	84	21	as	as	ADP
cana-4293	84	22	a	a	DET
cana-4293	84	23	semi	semi	ADJ
cana-4293	84	24	-	-	ADJ
cana-4293	84	25	supervised	supervised	ADJ
cana-4293	84	26	dataset	dataset	NOUN
cana-4293	84	27	.	.	PUNCT
cana-4293	85	1	this	this	DET
cana-4293	85	2	dataset	dataset	NOUN
cana-4293	85	3	is	be	AUX
cana-4293	85	4	specifically	specifically	ADV
cana-4293	85	5	categorized	categorize	VERB
cana-4293	85	6	into	into	ADP
cana-4293	85	7	two	two	NUM
cana-4293	85	8	types	type	NOUN
cana-4293	85	9	of	of	ADP
cana-4293	85	10	classes	class	NOUN
cana-4293	85	11	:	:	PUNCT
cana-4293	85	12	benign	benign	ADJ
cana-4293	85	13	masses	masse	NOUN
cana-4293	85	14	and	and	CCONJ
cana-4293	85	15	malignant	malignant	ADJ
cana-4293	85	16	masses	masse	NOUN
cana-4293	85	17	.	.	PUNCT
cana-4293	86	1	figure	figure	VERB
cana-4293	86	2	1	1	NUM
cana-4293	86	3	:	:	PUNCT
cana-4293	86	4	cvbn	cvbn	NOUN
cana-4293	86	5	workflow	workflow	NOUN
cana-4293	86	6	architecture	architecture	NOUN
cana-4293	86	7	3.2	3.2	NUM
cana-4293	86	8	breast	breast	NOUN
cana-4293	86	9	cancer	cancer	NOUN
cana-4293	86	10	prediction	prediction	NOUN
cana-4293	86	11	using	use	VERB
cana-4293	86	12	cascaded	cascade	VERB
cana-4293	86	13	vgg19	vgg19	NOUN
cana-4293	86	14	with	with	ADP
cana-4293	86	15	bi	bi	NOUN
cana-4293	86	16	-	-	ADJ
cana-4293	86	17	lstm	lstm	ADJ
cana-4293	86	18	3.2.1	3.2.1	NUM
cana-4293	86	19	cascadedvgg19	cascadedvgg19	NOUN
cana-4293	86	20	the	the	DET
cana-4293	86	21	cascaded	cascade	VERB
cana-4293	86	22	vgg19	vgg19	NOUN
cana-4293	86	23	convolutional	convolutional	ADJ
cana-4293	86	24	neural	neural	ADJ
cana-4293	86	25	network	network	NOUN
cana-4293	86	26	(	(	PUNCT
cana-4293	86	27	cnn	cnn	PROPN
cana-4293	86	28	)	)	PUNCT
cana-4293	86	29	is	be	AUX
cana-4293	86	30	used	use	VERB
cana-4293	86	31	as	as	ADP
cana-4293	86	32	a	a	DET
cana-4293	86	33	strong	strong	ADJ
cana-4293	86	34	feature	feature	NOUN
cana-4293	86	35	extractor	extractor	NOUN
cana-4293	86	36	in	in	ADP
cana-4293	86	37	the	the	DET
cana-4293	86	38	cascaded	cascade	VERB
cana-4293	86	39	vgg19	vgg19	NOUN
cana-4293	86	40	method	method	NOUN
cana-4293	86	41	.	.	PUNCT
cana-4293	87	1	its	its	PRON
cana-4293	87	2	19	19	NUM
cana-4293	87	3	-	-	PUNCT
cana-4293	87	4	layer	layer	NOUN
cana-4293	87	5	deep	deep	ADJ
cana-4293	87	6	design	design	NOUN
cana-4293	87	7	allows	allow	VERB
cana-4293	87	8	it	it	PRON
cana-4293	87	9	to	to	PART
cana-4293	87	10	collect	collect	VERB
cana-4293	87	11	complex	complex	ADJ
cana-4293	87	12	visual	visual	ADJ
cana-4293	87	13	information	information	NOUN
cana-4293	87	14	from	from	ADP
cana-4293	87	15	pictures	picture	NOUN
cana-4293	87	16	referred	refer	VERB
cana-4293	87	17	by	by	ADP
cana-4293	87	18	alhussan	alhussan	PROPN
cana-4293	87	19	,	,	PUNCT
cana-4293	87	20	a.	a.	PROPN
cana-4293	87	21	et	et	PROPN
cana-4293	87	22	al	al	PROPN
cana-4293	87	23	.	.	PROPN
cana-4293	88	1	(	(	PUNCT
cana-4293	88	2	2023	2023	NUM
cana-4293	88	3	)	)	PUNCT
cana-4293	88	4	.	.	PUNCT
cana-4293	89	1	the	the	DET
cana-4293	89	2	learnt	learnt	ADJ
cana-4293	89	3	weights	weight	NOUN
cana-4293	89	4	of	of	ADP
cana-4293	89	5	vgg19	vgg19	NOUN
cana-4293	89	6	,	,	PUNCT
cana-4293	89	7	which	which	PRON
cana-4293	89	8	were	be	AUX
cana-4293	89	9	pre	pre	VERB
cana-4293	89	10	-	-	VERB
cana-4293	89	11	trained	train	VERB
cana-4293	89	12	on	on	ADP
cana-4293	89	13	big	big	ADJ
cana-4293	89	14	datasets	dataset	NOUN
cana-4293	89	15	like	like	ADP
cana-4293	89	16	imagenet	imagenet	NOUN
cana-4293	89	17	,	,	PUNCT
cana-4293	89	18	provide	provide	VERB
cana-4293	89	19	a	a	DET
cana-4293	89	20	strong	strong	ADJ
cana-4293	89	21	basis	basis	NOUN
cana-4293	89	22	for	for	ADP
cana-4293	89	23	identifying	identify	VERB
cana-4293	89	24	typical	typical	ADJ
cana-4293	89	25	patterns	pattern	NOUN
cana-4293	89	26	.	.	PUNCT
cana-4293	90	1	layers	layer	NOUN
cana-4293	90	2	like	like	ADP
cana-4293	90	3	bi	bi	ADJ
cana-4293	90	4	-	-	ADJ
cana-4293	90	5	lstm	lstm	ADJ
cana-4293	90	6	networks	network	NOUN
cana-4293	90	7	or	or	CCONJ
cana-4293	90	8	fully	fully	ADV
cana-4293	90	9	connected	connected	ADJ
cana-4293	90	10	layers	layer	NOUN
cana-4293	90	11	are	be	AUX
cana-4293	90	12	used	use	VERB
cana-4293	90	13	to	to	PART
cana-4293	90	14	further	far	ADV
cana-4293	90	15	refine	refine	VERB
cana-4293	90	16	and	and	CCONJ
cana-4293	90	17	improve	improve	VERB
cana-4293	90	18	the	the	DET
cana-4293	90	19	extracted	extract	VERB
cana-4293	90	20	features	feature	NOUN
cana-4293	90	21	in	in	ADP
cana-4293	90	22	the	the	DET
cana-4293	90	23	cascaded	cascade	VERB
cana-4293	90	24	configuration	configuration	NOUN
cana-4293	90	25	,	,	PUNCT
cana-4293	90	26	which	which	PRON
cana-4293	90	27	uses	use	VERB
cana-4293	90	28	the	the	DET
cana-4293	90	29	output	output	NOUN
cana-4293	90	30	from	from	ADP
cana-4293	90	31	vgg19	vgg19	PROPN
cana-4293	90	32	's	's	PART
cana-4293	90	33	final	final	ADJ
cana-4293	90	34	convolutional	convolutional	ADJ
cana-4293	90	35	layer	layer	NOUN
cana-4293	90	36	.	.	PUNCT
cana-4293	91	1	in	in	ADP
cana-4293	91	2	medical	medical	ADJ
cana-4293	91	3	imaging	imaging	NOUN
cana-4293	91	4	applications	application	NOUN
cana-4293	91	5	,	,	PUNCT
cana-4293	91	6	such	such	ADJ
cana-4293	91	7	as	as	ADP
cana-4293	91	8	identifying	identify	VERB
cana-4293	91	9	benign	benign	NOUN
cana-4293	91	10	from	from	ADP
cana-4293	91	11	malignant	malignant	ADJ
cana-4293	91	12	breast	breast	NOUN
cana-4293	91	13	lumps	lump	NOUN
cana-4293	91	14	,	,	PUNCT
cana-4293	91	15	the	the	DET
cana-4293	91	16	model	model	NOUN
cana-4293	91	17	's	's	PART
cana-4293	91	18	capacity	capacity	NOUN
cana-4293	91	19	to	to	PART
cana-4293	91	20	correctly	correctly	ADV
cana-4293	91	21	categorise	categorise	VERB
cana-4293	91	22	complicated	complicated	ADJ
cana-4293	91	23	image	image	NOUN
cana-4293	91	24	data	datum	NOUN
cana-4293	91	25	is	be	AUX
cana-4293	91	26	enhanced	enhance	VERB
cana-4293	91	27	by	by	ADP
cana-4293	91	28	capturing	capture	VERB
cana-4293	91	29	both	both	CCONJ
cana-4293	91	30	spatial	spatial	ADJ
cana-4293	91	31	and	and	CCONJ
cana-4293	91	32	temporal	temporal	ADJ
cana-4293	91	33	correlations	correlation	NOUN
cana-4293	91	34	.	.	PUNCT
cana-4293	92	1	figure	figure	NOUN
cana-4293	92	2	2	2	NUM
cana-4293	92	3	shows	show	VERB
cana-4293	92	4	that	that	PRON
cana-4293	92	5	thecascaded	thecascade	VERB
cana-4293	92	6	vgg19	vgg19	NOUN
cana-4293	92	7	architecture	architecture	NOUN
cana-4293	92	8	,	,	PUNCT
cana-4293	92	9	which	which	PRON
cana-4293	92	10	is	be	AUX
cana-4293	92	11	composed	compose	VERB
cana-4293	92	12	of	of	ADP
cana-4293	92	13	19	19	NUM
cana-4293	92	14	layers	layer	NOUN
cana-4293	92	15	of	of	ADP
cana-4293	92	16	cnns	cnn	NOUN
cana-4293	92	17	,	,	PUNCT
cana-4293	92	18	is	be	AUX
cana-4293	92	19	an	an	DET
cana-4293	92	20	effective	effective	ADJ
cana-4293	92	21	tool	tool	NOUN
cana-4293	92	22	for	for	ADP
cana-4293	92	23	insect	insect	NOUN
cana-4293	92	24	classification	classification	NOUN
cana-4293	92	25	because	because	SCONJ
cana-4293	92	26	it	it	PRON
cana-4293	92	27	can	can	AUX
cana-4293	92	28	extract	extract	VERB
cana-4293	92	29	complicated	complicated	ADJ
cana-4293	92	30	information	information	NOUN
cana-4293	92	31	from	from	ADP
cana-4293	92	32	insect	insect	NOUN
cana-4293	92	33	photos	photo	NOUN
cana-4293	92	34	.	.	PUNCT
cana-4293	93	1	cascadedvgg19	cascadedvgg19	PROPN
cana-4293	93	2	stands	stand	VERB
cana-4293	93	3	out	out	ADP
cana-4293	93	4	in	in	ADP
cana-4293	93	5	the	the	DET
cana-4293	93	6	detection	detection	NOUN
cana-4293	93	7	and	and	CCONJ
cana-4293	93	8	identification	identification	NOUN
cana-4293	93	9	of	of	ADP
cana-4293	93	10	different	different	ADJ
cana-4293	93	11	insect	insect	NOUN
cana-4293	93	12	species	specie	NOUN
cana-4293	93	13	by	by	ADP
cana-4293	93	14	gradually	gradually	ADV
cana-4293	93	15	producing	produce	VERB
cana-4293	93	16	abstract	abstract	ADJ
cana-4293	93	17	representations	representation	NOUN
cana-4293	93	18	via	via	ADP
cana-4293	93	19	pooling	pool	VERB
cana-4293	93	20	and	and	CCONJ
cana-4293	93	21	convolutional	convolutional	ADJ
cana-4293	93	22	layers	layer	NOUN
cana-4293	93	23	.	.	PUNCT
cana-4293	94	1	the	the	DET
cana-4293	94	2	power	power	NOUN
cana-4293	94	3	of	of	ADP
cana-4293	94	4	the	the	DET
cana-4293	94	5	https://data.mendeley.com/datasets/ywsbh3ndr8/2	https://data.mendeley.com/datasets/ywsbh3ndr8/2	PROPN
cana-4293	94	6	communications	communication	NOUN
cana-4293	94	7	on	on	ADP
cana-4293	94	8	applied	apply	VERB
cana-4293	94	9	nonlinear	nonlinear	ADJ
cana-4293	94	10	analysis	analysis	NOUN
cana-4293	94	11	issn	issn	NOUN
cana-4293	94	12	:	:	PUNCT
cana-4293	94	13	1074	1074	NUM
cana-4293	94	14	-	-	PUNCT
cana-4293	94	15	133x	133x	NUM
cana-4293	94	16	vol	vol	NOUN
cana-4293	94	17	32	32	NUM
cana-4293	94	18	no	no	NOUN
cana-4293	94	19	.	.	PUNCT
cana-4293	95	1	9s	9s	NUM
cana-4293	95	2	(	(	PUNCT
cana-4293	95	3	2025	2025	NUM
cana-4293	95	4	)	)	PUNCT
cana-4293	95	5	1745	1745	NUM
cana-4293	95	6	https://internationalpubls.co	https://internationalpubls.co	PROPN
cana-4293	95	7	m	m	PROPN
cana-4293	95	8	model	model	NOUN
cana-4293	95	9	to	to	PART
cana-4293	95	10	account	account	VERB
cana-4293	95	11	for	for	ADP
cana-4293	95	12	differences	difference	NOUN
cana-4293	95	13	in	in	ADP
cana-4293	95	14	insect	insect	NOUN
cana-4293	95	15	size	size	NOUN
cana-4293	95	16	,	,	PUNCT
cana-4293	95	17	orientation	orientation	NOUN
cana-4293	95	18	,	,	PUNCT
cana-4293	95	19	and	and	CCONJ
cana-4293	95	20	contextual	contextual	ADJ
cana-4293	95	21	surroundings	surrounding	NOUN
cana-4293	95	22	is	be	AUX
cana-4293	95	23	enhanced	enhance	VERB
cana-4293	95	24	by	by	ADP
cana-4293	95	25	its	its	PRON
cana-4293	95	26	depth	depth	NOUN
cana-4293	95	27	,	,	PUNCT
cana-4293	95	28	leading	lead	VERB
cana-4293	95	29	to	to	ADP
cana-4293	95	30	improved	improve	VERB
cana-4293	95	31	classification	classification	NOUN
cana-4293	95	32	accuracy	accuracy	NOUN
cana-4293	95	33	.	.	PUNCT
cana-4293	96	1	to	to	PART
cana-4293	96	2	enhance	enhance	VERB
cana-4293	96	3	computing	computing	NOUN
cana-4293	96	4	performance	performance	NOUN
cana-4293	96	5	,	,	PUNCT
cana-4293	96	6	decrease	decrease	VERB
cana-4293	96	7	data	datum	NOUN
cana-4293	96	8	dimensionality	dimensionality	NOUN
cana-4293	96	9	,	,	PUNCT
cana-4293	96	10	and	and	CCONJ
cana-4293	96	11	add	add	VERB
cana-4293	96	12	non	non	ADJ
cana-4293	96	13	-	-	ADJ
cana-4293	96	14	linearity	linearity	ADJ
cana-4293	96	15	,	,	PUNCT
cana-4293	96	16	the	the	DET
cana-4293	96	17	design	design	NOUN
cana-4293	96	18	incorporates	incorporate	VERB
cana-4293	96	19	max	max	PROPN
cana-4293	96	20	pooling	pooling	NOUN
cana-4293	96	21	and	and	CCONJ
cana-4293	96	22	relu	relu	NOUN
cana-4293	96	23	activation	activation	NOUN
cana-4293	96	24	layers	layer	NOUN
cana-4293	96	25	.	.	PUNCT
cana-4293	97	1	the	the	DET
cana-4293	97	2	last	last	ADJ
cana-4293	97	3	set	set	NOUN
cana-4293	97	4	of	of	ADP
cana-4293	97	5	fully	fully	ADV
cana-4293	97	6	connected	connected	ADJ
cana-4293	97	7	layers	layer	NOUN
cana-4293	97	8	uses	use	VERB
cana-4293	97	9	a	a	DET
cana-4293	97	10	softmax	softmax	ADJ
cana-4293	97	11	activation	activation	NOUN
cana-4293	97	12	function	function	VERB
cana-4293	97	13	to	to	PART
cana-4293	97	14	produce	produce	VERB
cana-4293	97	15	output	output	NOUN
cana-4293	97	16	layers	layer	NOUN
cana-4293	97	17	that	that	PRON
cana-4293	97	18	calculate	calculate	VERB
cana-4293	97	19	probability	probability	NOUN
cana-4293	97	20	for	for	ADP
cana-4293	97	21	different	different	ADJ
cana-4293	97	22	groups	group	NOUN
cana-4293	97	23	of	of	ADP
cana-4293	97	24	insects	insect	NOUN
cana-4293	97	25	.	.	PUNCT
cana-4293	98	1	because	because	SCONJ
cana-4293	98	2	of	of	ADP
cana-4293	98	3	its	its	PRON
cana-4293	98	4	processing	processing	NOUN
cana-4293	98	5	power	power	NOUN
cana-4293	98	6	and	and	CCONJ
cana-4293	98	7	suitability	suitability	NOUN
cana-4293	98	8	for	for	ADP
cana-4293	98	9	complicated	complicated	ADJ
cana-4293	98	10	picture	picture	NOUN
cana-4293	98	11	recognition	recognition	NOUN
cana-4293	98	12	tasks	task	NOUN
cana-4293	98	13	,	,	PUNCT
cana-4293	98	14	cascadedvgg19	cascadedvgg19	NOUN
cana-4293	98	15	is	be	AUX
cana-4293	98	16	a	a	DET
cana-4293	98	17	popular	popular	ADJ
cana-4293	98	18	choice	choice	NOUN
cana-4293	98	19	in	in	ADP
cana-4293	98	20	entomology	entomology	NOUN
cana-4293	98	21	and	and	CCONJ
cana-4293	98	22	agriculture	agriculture	NOUN
cana-4293	98	23	.	.	PUNCT
cana-4293	99	1	it	it	PRON
cana-4293	99	2	has	have	VERB
cana-4293	99	3	a	a	DET
cana-4293	99	4	significant	significant	ADJ
cana-4293	99	5	impact	impact	NOUN
cana-4293	99	6	on	on	ADP
cana-4293	99	7	the	the	DET
cana-4293	99	8	precision	precision	NOUN
cana-4293	99	9	of	of	ADP
cana-4293	99	10	insect	insect	NOUN
cana-4293	99	11	identification	identification	NOUN
cana-4293	99	12	,	,	PUNCT
cana-4293	99	13	the	the	DET
cana-4293	99	14	efficacy	efficacy	NOUN
cana-4293	99	15	of	of	ADP
cana-4293	99	16	pest	pest	NOUN
cana-4293	99	17	management	management	NOUN
cana-4293	99	18	,	,	PUNCT
cana-4293	99	19	and	and	CCONJ
cana-4293	99	20	our	our	PRON
cana-4293	99	21	understanding	understanding	NOUN
cana-4293	99	22	of	of	ADP
cana-4293	99	23	the	the	DET
cana-4293	99	24	environment	environment	NOUN
cana-4293	99	25	.	.	PUNCT
cana-4293	100	1	the	the	DET
cana-4293	100	2	importance	importance	NOUN
cana-4293	100	3	of	of	ADP
cana-4293	100	4	the	the	DET
cana-4293	100	5	first	first	ADJ
cana-4293	100	6	convolutional	convolutional	ADJ
cana-4293	100	7	layers	layer	NOUN
cana-4293	100	8	in	in	ADP
cana-4293	100	9	collecting	collect	VERB
cana-4293	100	10	basic	basic	ADJ
cana-4293	100	11	features	feature	NOUN
cana-4293	100	12	like	like	ADP
cana-4293	100	13	forms	form	NOUN
cana-4293	100	14	and	and	CCONJ
cana-4293	100	15	edges	edge	NOUN
cana-4293	100	16	is	be	AUX
cana-4293	100	17	seen	see	VERB
cana-4293	100	18	in	in	ADP
cana-4293	100	19	the	the	DET
cana-4293	100	20	detailed	detailed	ADJ
cana-4293	100	21	cascadedvgg19	cascadedvgg19	NOUN
cana-4293	100	22	architecture	architecture	NOUN
cana-4293	100	23	illustration	illustration	NOUN
cana-4293	100	24	.	.	PUNCT
cana-4293	101	1	with	with	ADP
cana-4293	101	2	this	this	DET
cana-4293	101	3	understanding	understanding	NOUN
cana-4293	101	4	,	,	PUNCT
cana-4293	101	5	we	we	PRON
cana-4293	101	6	can	can	AUX
cana-4293	101	7	trace	trace	VERB
cana-4293	101	8	the	the	DET
cana-4293	101	9	model	model	NOUN
cana-4293	101	10	's	's	PART
cana-4293	101	11	inputoutput	inputoutput	ADJ
cana-4293	101	12	data	datum	NOUN
cana-4293	101	13	flow	flow	NOUN
cana-4293	101	14	from	from	ADP
cana-4293	101	15	the	the	DET
cana-4293	101	16	beginning	beginning	NOUN
cana-4293	101	17	.	.	PUNCT
cana-4293	102	1	with	with	ADP
cana-4293	102	2	its	its	PRON
cana-4293	102	3	hierarchical	hierarchical	ADJ
cana-4293	102	4	structure	structure	NOUN
cana-4293	102	5	,	,	PUNCT
cana-4293	102	6	cascadedvgg19	cascadedvgg19	NOUN
cana-4293	102	7	is	be	AUX
cana-4293	102	8	able	able	ADJ
cana-4293	102	9	to	to	PART
cana-4293	102	10	distinguish	distinguish	VERB
cana-4293	102	11	intricate	intricate	ADJ
cana-4293	102	12	insect	insect	NOUN
cana-4293	102	13	traits	trait	NOUN
cana-4293	102	14	,	,	PUNCT
cana-4293	102	15	highlighting	highlight	VERB
cana-4293	102	16	its	its	PRON
cana-4293	102	17	crucial	crucial	ADJ
cana-4293	102	18	role	role	NOUN
cana-4293	102	19	in	in	ADP
cana-4293	102	20	insect	insect	NOUN
cana-4293	102	21	taxonomy	taxonomy	NOUN
cana-4293	102	22	.	.	PUNCT
cana-4293	103	1	figure	figure	NOUN
cana-4293	103	2	2	2	NUM
cana-4293	103	3	:	:	PUNCT
cana-4293	103	4	cascaded	cascade	VERB
cana-4293	103	5	vgg19	vgg19	PROPN
cana-4293	103	6	3.2.2	3.2.2	NUM
cana-4293	103	7	bi	bi	NOUN
cana-4293	103	8	-	-	NOUN
cana-4293	103	9	lstm	lstm	ADJ
cana-4293	103	10	an	an	DET
cana-4293	103	11	enhanced	enhanced	ADJ
cana-4293	103	12	kind	kind	NOUN
cana-4293	103	13	of	of	ADP
cana-4293	103	14	recurrent	recurrent	ADJ
cana-4293	103	15	neural	neural	ADJ
cana-4293	103	16	network	network	NOUN
cana-4293	103	17	(	(	PUNCT
cana-4293	103	18	rnn	rnn	PROPN
cana-4293	103	19	)	)	PUNCT
cana-4293	103	20	called	call	VERB
cana-4293	103	21	the	the	DET
cana-4293	103	22	bidirectional	bidirectional	ADJ
cana-4293	103	23	long	long	ADJ
cana-4293	103	24	short	short	ADJ
cana-4293	103	25	-	-	PUNCT
cana-4293	103	26	term	term	NOUN
cana-4293	103	27	memory	memory	NOUN
cana-4293	103	28	(	(	PUNCT
cana-4293	103	29	bi	bi	NOUN
cana-4293	103	30	-	-	ADJ
cana-4293	103	31	lstm	lstm	ADJ
cana-4293	103	32	)	)	PUNCT
cana-4293	103	33	network	network	NOUN
cana-4293	103	34	is	be	AUX
cana-4293	103	35	intended	intend	VERB
cana-4293	103	36	to	to	PART
cana-4293	103	37	extract	extract	VERB
cana-4293	103	38	context	context	NOUN
cana-4293	103	39	and	and	CCONJ
cana-4293	103	40	long	long	ADJ
cana-4293	103	41	-	-	PUNCT
cana-4293	103	42	range	range	NOUN
cana-4293	103	43	relationships	relationship	NOUN
cana-4293	103	44	from	from	ADP
cana-4293	103	45	sequential	sequential	ADJ
cana-4293	103	46	input	input	NOUN
cana-4293	103	47	.	.	PUNCT
cana-4293	104	1	bi	bi	ADJ
cana-4293	104	2	-	-	ADJ
cana-4293	104	3	lstm	lstm	ADJ
cana-4293	104	4	networks	network	NOUN
cana-4293	104	5	,	,	PUNCT
cana-4293	104	6	as	as	SCONJ
cana-4293	104	7	described	describe	VERB
cana-4293	104	8	by	by	ADP
cana-4293	104	9	dutta	dutta	PROPN
cana-4293	104	10	,	,	PUNCT
cana-4293	104	11	s.	s.	PROPN
cana-4293	104	12	et	et	PROPN
cana-4293	104	13	al	al	PROPN
cana-4293	104	14	.	.	PROPN
cana-4293	104	15	(	(	PUNCT
cana-4293	104	16	2020	2020	NUM
cana-4293	104	17	)	)	PUNCT
cana-4293	104	18	,	,	PUNCT
cana-4293	104	19	process	process	NOUN
cana-4293	104	20	data	datum	NOUN
cana-4293	104	21	in	in	ADP
cana-4293	104	22	both	both	CCONJ
cana-4293	104	23	forward	forward	ADJ
cana-4293	104	24	and	and	CCONJ
cana-4293	104	25	backward	backward	ADJ
cana-4293	104	26	directions	direction	NOUN
cana-4293	104	27	,	,	PUNCT
cana-4293	104	28	in	in	ADP
cana-4293	104	29	contrast	contrast	NOUN
cana-4293	104	30	to	to	ADP
cana-4293	104	31	typical	typical	ADJ
cana-4293	104	32	lstms	lstms	NOUN
cana-4293	104	33	,	,	PUNCT
cana-4293	104	34	which	which	PRON
cana-4293	104	35	only	only	ADV
cana-4293	104	36	process	process	VERB
cana-4293	104	37	input	input	NOUN
cana-4293	104	38	data	datum	NOUN
cana-4293	104	39	in	in	ADP
cana-4293	104	40	one	one	NUM
cana-4293	104	41	way	way	NOUN
cana-4293	104	42	.	.	PUNCT
cana-4293	105	1	by	by	ADP
cana-4293	105	2	using	use	VERB
cana-4293	105	3	both	both	PRON
cana-4293	105	4	past	past	NOUN
cana-4293	105	5	and	and	CCONJ
cana-4293	105	6	future	future	ADJ
cana-4293	105	7	context	context	NOUN
cana-4293	105	8	,	,	PUNCT
cana-4293	105	9	this	this	DET
cana-4293	105	10	bidirectional	bidirectional	ADJ
cana-4293	105	11	method	method	NOUN
cana-4293	105	12	helps	help	VERB
cana-4293	105	13	the	the	DET
cana-4293	105	14	model	model	NOUN
cana-4293	105	15	identify	identify	VERB
cana-4293	105	16	patterns	pattern	NOUN
cana-4293	105	17	and	and	CCONJ
cana-4293	105	18	relationships	relationship	NOUN
cana-4293	105	19	in	in	ADP
cana-4293	105	20	the	the	DET
cana-4293	105	21	data	datum	NOUN
cana-4293	105	22	.	.	PUNCT
cana-4293	106	1	we	we	PRON
cana-4293	106	2	have	have	AUX
cana-4293	106	3	taken	take	VERB
cana-4293	106	4	into	into	ADP
cana-4293	106	5	account	account	NOUN
cana-4293	106	6	a	a	DET
cana-4293	106	7	standard	standard	ADJ
cana-4293	106	8	siso	siso	NOUN
cana-4293	106	9	wireless	wireless	ADJ
cana-4293	106	10	communication	communication	NOUN
cana-4293	106	11	system	system	NOUN
cana-4293	106	12	.	.	PUNCT
cana-4293	107	1	at	at	ADP
cana-4293	107	2	the	the	DET
cana-4293	107	3	input	input	NOUN
cana-4293	107	4	of	of	ADP
cana-4293	107	5	the	the	DET
cana-4293	107	6	receiver	receiver	NOUN
cana-4293	107	7	,	,	PUNCT
cana-4293	107	8	the	the	DET
cana-4293	107	9	distorted	distort	VERB
cana-4293	107	10	signal	signal	NOUN
cana-4293	107	11	is	be	AUX
cana-4293	107	12	shown	show	VERB
cana-4293	107	13	as	as	ADP
cana-4293	107	14	𝑦	𝑦	NOUN
cana-4293	107	15	=	=	SYM
cana-4293	107	16	𝐻𝑥	𝐻𝑥	PROPN
cana-4293	107	17	+	+	CCONJ
cana-4293	107	18	𝑛	𝑛	PROPN
cana-4293	107	19	------------(1	------------(1	NOUN
cana-4293	107	20	)	)	PUNCT
cana-4293	107	21	in	in	ADP
cana-4293	107	22	where	where	SCONJ
cana-4293	107	23	h	h	NOUN
cana-4293	107	24	is	be	AUX
cana-4293	107	25	the	the	DET
cana-4293	107	26	channel	channel	NOUN
cana-4293	107	27	's	's	PART
cana-4293	107	28	impulse	impulse	ADJ
cana-4293	107	29	response	response	NOUN
cana-4293	107	30	and	and	CCONJ
cana-4293	107	31	n	n	NOUN
cana-4293	107	32	is	be	AUX
cana-4293	107	33	the	the	DET
cana-4293	107	34	quantity	quantity	NOUN
cana-4293	107	35	of	of	ADP
cana-4293	107	36	additive	additive	ADJ
cana-4293	107	37	white	white	ADJ
cana-4293	107	38	gaussian	gaussian	PROPN
cana-4293	107	39	noise	noise	NOUN
cana-4293	107	40	(	(	PUNCT
cana-4293	107	41	awgn	awgn	NOUN
cana-4293	107	42	)	)	PUNCT
cana-4293	107	43	.	.	PUNCT
cana-4293	108	1	for	for	ADP
cana-4293	108	2	channel	channel	NOUN
cana-4293	108	3	computation	computation	NOUN
cana-4293	108	4	,	,	PUNCT
cana-4293	108	5	we	we	PRON
cana-4293	108	6	suggested	suggest	VERB
cana-4293	108	7	a	a	DET
cana-4293	108	8	bi	bi	ADJ
cana-4293	108	9	lstm	lstm	NOUN
cana-4293	108	10	-	-	PUNCT
cana-4293	108	11	based	base	VERB
cana-4293	108	12	design	design	NOUN
cana-4293	108	13	.	.	PUNCT
cana-4293	109	1	𝐻𝑥	𝐻𝑥	NOUN
cana-4293	109	2	is	be	AUX
cana-4293	109	3	the	the	DET
cana-4293	109	4	output	output	NOUN
cana-4293	109	5	notation	notation	NOUN
cana-4293	109	6	for	for	ADP
cana-4293	109	7	the	the	DET
cana-4293	109	8	simplest	simple	ADJ
cana-4293	109	9	linear	linear	ADJ
cana-4293	109	10	deep	deep	ADJ
cana-4293	109	11	learning	learning	NOUN
cana-4293	109	12	model	model	NOUN
cana-4293	109	13	.	.	PUNCT
cana-4293	110	1	the	the	DET
cana-4293	110	2	letters	letter	NOUN
cana-4293	110	3	w	w	AUX
cana-4293	110	4	stand	stand	VERB
cana-4293	110	5	for	for	ADP
cana-4293	110	6	the	the	DET
cana-4293	110	7	weights	weight	NOUN
cana-4293	110	8	.	.	PUNCT
cana-4293	111	1	the	the	DET
cana-4293	111	2	inputs	input	NOUN
cana-4293	111	3	with	with	ADP
cana-4293	111	4	the	the	DET
cana-4293	111	5	format	format	NOUN
cana-4293	111	6	are	be	AUX
cana-4293	111	7	used	use	VERB
cana-4293	111	8	to	to	PART
cana-4293	111	9	configure	configure	VERB
cana-4293	111	10	the	the	DET
cana-4293	111	11	model	model	NOUN
cana-4293	111	12	.	.	PUNCT
cana-4293	112	1	the	the	DET
cana-4293	112	2	lstm	lstm	ADJ
cana-4293	112	3	architecture	architecture	NOUN
cana-4293	112	4	can	can	AUX
cana-4293	112	5	be	be	AUX
cana-4293	112	6	shown	show	VERB
cana-4293	112	7	in	in	ADP
cana-4293	112	8	figure	figure	NOUN
cana-4293	112	9	1	1	NUM
cana-4293	112	10	.	.	PUNCT
cana-4293	113	1	many	many	ADJ
cana-4293	113	2	think𝑛	think𝑛	VERB
cana-4293	113	3	the	the	DET
cana-4293	113	4	gate	gate	NOUN
cana-4293	113	5	structure	structure	NOUN
cana-4293	113	6	can	can	AUX
cana-4293	113	7	alter	alter	VERB
cana-4293	113	8	the	the	DET
cana-4293	113	9	cell	cell	NOUN
cana-4293	113	10	state	state	NOUN
cana-4293	113	11	by	by	ADP
cana-4293	113	12	adding	add	VERB
cana-4293	113	13	or	or	CCONJ
cana-4293	113	14	removing	remove	VERB
cana-4293	113	15	data	datum	NOUN
cana-4293	113	16	.	.	PUNCT
cana-4293	114	1	each	each	PRON
cana-4293	114	2	of	of	ADP
cana-4293	114	3	its	its	PRON
cana-4293	114	4	three	three	NUM
cana-4293	114	5	gates	gate	NOUN
cana-4293	114	6	—	—	PUNCT
cana-4293	114	7	an	an	DET
cana-4293	114	8	input	input	NOUN
cana-4293	114	9	,	,	PUNCT
cana-4293	114	10	a	a	DET
cana-4293	114	11	forget	forget	NOUN
cana-4293	114	12	,	,	PUNCT
cana-4293	114	13	and	and	CCONJ
cana-4293	114	14	an	an	DET
cana-4293	114	15	output	output	NOUN
cana-4293	114	16	—	—	PUNCT
cana-4293	114	17	are	be	AUX
cana-4293	114	18	essential	essential	ADJ
cana-4293	114	19	to	to	ADP
cana-4293	114	20	it	it	PRON
cana-4293	114	21	.	.	PUNCT
cana-4293	115	1	communications	communication	NOUN
cana-4293	115	2	on	on	ADP
cana-4293	115	3	applied	apply	VERB
cana-4293	115	4	nonlinear	nonlinear	ADJ
cana-4293	115	5	analysis	analysis	NOUN
cana-4293	115	6	issn	issn	NOUN
cana-4293	115	7	:	:	PUNCT
cana-4293	115	8	1074	1074	NUM
cana-4293	115	9	-	-	PUNCT
cana-4293	115	10	133x	133x	NUM
cana-4293	115	11	vol	vol	NOUN
cana-4293	115	12	32	32	NUM
cana-4293	115	13	no	no	NOUN
cana-4293	115	14	.	.	PUNCT
cana-4293	116	1	9s	9s	NUM
cana-4293	116	2	(	(	PUNCT
cana-4293	116	3	2025	2025	NUM
cana-4293	116	4	)	)	PUNCT
cana-4293	116	5	1746	1746	NUM
cana-4293	116	6	https://internationalpubls.co	https://internationalpubls.co	PROPN
cana-4293	116	7	m	m	PROPN
cana-4293	116	8	figure	figure	NOUN
cana-4293	116	9	3	3	NUM
cana-4293	116	10	:	:	PUNCT
cana-4293	116	11	bidirectional	bidirectional	ADJ
cana-4293	116	12	lstm	lstm	NOUN
cana-4293	116	13	architecture	architecture	NOUN
cana-4293	116	14	.	.	PUNCT
cana-4293	117	1	two	two	NUM
cana-4293	117	2	long	long	ADJ
cana-4293	117	3	short	short	ADJ
cana-4293	117	4	-	-	PUNCT
cana-4293	117	5	term	term	NOUN
cana-4293	117	6	memory	memory	NOUN
cana-4293	117	7	(	(	PUNCT
cana-4293	117	8	lstm	lstm	NOUN
cana-4293	117	9	)	)	PUNCT
cana-4293	117	10	layers	layer	NOUN
cana-4293	117	11	placed	place	VERB
cana-4293	117	12	side	side	NOUN
cana-4293	117	13	by	by	ADP
cana-4293	117	14	side	side	NOUN
cana-4293	117	15	form	form	NOUN
cana-4293	117	16	a	a	DET
cana-4293	117	17	bidirectional	bidirectional	ADJ
cana-4293	117	18	lstm	lstm	NOUN
cana-4293	117	19	design	design	NOUN
cana-4293	117	20	,	,	PUNCT
cana-4293	117	21	as	as	SCONJ
cana-4293	117	22	seen	see	VERB
cana-4293	117	23	in	in	ADP
cana-4293	117	24	figure	figure	NOUN
cana-4293	117	25	3	3	NUM
cana-4293	117	26	.	.	PUNCT
cana-4293	118	1	in	in	ADP
cana-4293	118	2	order	order	NOUN
cana-4293	118	3	to	to	PART
cana-4293	118	4	train	train	VERB
cana-4293	118	5	one	one	NUM
cana-4293	118	6	layer	layer	NOUN
cana-4293	118	7	of	of	ADP
cana-4293	118	8	an	an	DET
cana-4293	118	9	lstm	lstm	NOUN
cana-4293	118	10	,	,	PUNCT
cana-4293	118	11	the	the	DET
cana-4293	118	12	input	input	NOUN
cana-4293	118	13	sequence	sequence	NOUN
cana-4293	118	14	is	be	AUX
cana-4293	118	15	fed	feed	VERB
cana-4293	118	16	forward	forward	ADV
cana-4293	118	17	.	.	PUNCT
cana-4293	119	1	training	train	VERB
cana-4293	119	2	a	a	DET
cana-4293	119	3	second	second	ADJ
cana-4293	119	4	lstm	lstm	NOUN
cana-4293	119	5	layer	layer	NOUN
cana-4293	119	6	in	in	ADP
cana-4293	119	7	the	the	DET
cana-4293	119	8	opposite	opposite	ADJ
cana-4293	119	9	way	way	NOUN
cana-4293	119	10	requires	require	VERB
cana-4293	119	11	the	the	DET
cana-4293	119	12	input	input	NOUN
cana-4293	119	13	sequence	sequence	NOUN
cana-4293	119	14	to	to	PART
cana-4293	119	15	be	be	AUX
cana-4293	119	16	supplied	supply	VERB
cana-4293	119	17	in	in	ADP
cana-4293	119	18	the	the	DET
cana-4293	119	19	opposite	opposite	ADJ
cana-4293	119	20	order	order	NOUN
cana-4293	119	21	.	.	PUNCT
cana-4293	120	1	both	both	DET
cana-4293	120	2	directions	direction	NOUN
cana-4293	120	3	of	of	ADP
cana-4293	120	4	the	the	DET
cana-4293	120	5	model	model	NOUN
cana-4293	120	6	's	's	PART
cana-4293	120	7	training	training	NOUN
cana-4293	120	8	employ	employ	VERB
cana-4293	120	9	the	the	DET
cana-4293	120	10	input	input	NOUN
cana-4293	120	11	sequence	sequence	NOUN
cana-4293	120	12	of	of	ADP
cana-4293	120	13	size	size	NOUN
cana-4293	120	14	256	256	NUM
cana-4293	120	15	.	.	PUNCT
cana-4293	121	1	the	the	DET
cana-4293	121	2	simulated	simulated	ADJ
cana-4293	121	3	training	training	NOUN
cana-4293	121	4	data	datum	NOUN
cana-4293	121	5	's	's	PART
cana-4293	121	6	actual	actual	ADJ
cana-4293	121	7	and	and	CCONJ
cana-4293	121	8	imaginary	imaginary	ADJ
cana-4293	121	9	components	component	NOUN
cana-4293	121	10	are	be	AUX
cana-4293	121	11	included	include	VERB
cana-4293	121	12	in	in	ADP
cana-4293	121	13	these	these	DET
cana-4293	121	14	input	input	NOUN
cana-4293	121	15	sequences	sequence	NOUN
cana-4293	121	16	.	.	PUNCT
cana-4293	122	1	we	we	PRON
cana-4293	122	2	fed	feed	VERB
cana-4293	122	3	the	the	DET
cana-4293	122	4	first	first	ADJ
cana-4293	122	5	layer	layer	NOUN
cana-4293	122	6	the	the	DET
cana-4293	122	7	original	original	ADJ
cana-4293	122	8	,	,	PUNCT
cana-4293	122	9	unaltered	unaltered	ADJ
cana-4293	122	10	sequence	sequence	NOUN
cana-4293	122	11	of	of	ADP
cana-4293	122	12	256	256	NUM
cana-4293	122	13	elements	element	NOUN
cana-4293	122	14	,	,	PUNCT
cana-4293	122	15	and	and	CCONJ
cana-4293	122	16	the	the	DET
cana-4293	122	17	second	second	ADJ
cana-4293	122	18	layer	layer	NOUN
cana-4293	122	19	a	a	DET
cana-4293	122	20	duplicate	duplicate	NOUN
cana-4293	122	21	of	of	ADP
cana-4293	122	22	the	the	DET
cana-4293	122	23	original	original	NOUN
cana-4293	122	24	,	,	PUNCT
cana-4293	122	25	but	but	CCONJ
cana-4293	122	26	in	in	ADP
cana-4293	122	27	reversed	reversed	ADJ
cana-4293	122	28	form	form	NOUN
cana-4293	122	29	.	.	PUNCT
cana-4293	123	1	it	it	PRON
cana-4293	123	2	is	be	AUX
cana-4293	123	3	believed	believe	VERB
cana-4293	123	4	that	that	SCONJ
cana-4293	123	5	the	the	DET
cana-4293	123	6	lstm	lstm	PROPN
cana-4293	123	7	neural	neural	ADJ
cana-4293	123	8	network	network	NOUN
cana-4293	123	9	can	can	AUX
cana-4293	123	10	fix	fix	VERB
cana-4293	123	11	rnns	rnns	NOUN
cana-4293	123	12	'	'	PART
cana-4293	123	13	vanishing	vanish	VERB
cana-4293	123	14	gradient	gradient	NOUN
cana-4293	123	15	problem	problem	NOUN
cana-4293	123	16	when	when	SCONJ
cana-4293	123	17	dealing	deal	VERB
cana-4293	123	18	with	with	ADP
cana-4293	123	19	lengthy	lengthy	ADJ
cana-4293	123	20	sequence	sequence	NOUN
cana-4293	123	21	data	datum	NOUN
cana-4293	123	22	.	.	PUNCT
cana-4293	124	1	one	one	NUM
cana-4293	124	2	way	way	NOUN
cana-4293	124	3	to	to	PART
cana-4293	124	4	depict	depict	VERB
cana-4293	124	5	the	the	DET
cana-4293	124	6	lstm	lstm	NOUN
cana-4293	124	7	four	four	NUM
cana-4293	124	8	gates	gate	NOUN
cana-4293	124	9	is	be	AUX
cana-4293	124	10	as	as	ADP
cana-4293	124	11	𝑓𝑡	𝑓𝑡	PROPN
cana-4293	124	12	=	=	SYM
cana-4293	124	13	𝜎(𝑤𝑓𝑥𝑡	𝜎(𝑤𝑓𝑥𝑡	NOUN
cana-4293	124	14	+	+	CCONJ
cana-4293	124	15	𝑅𝑓ℎ𝑡−1	𝑅𝑓ℎ𝑡−1	X
cana-4293	124	16	+	+	NUM
cana-4293	124	17	𝑏𝑓----------(2	𝑏𝑓----------(2	NOUN
cana-4293	124	18	)	)	PUNCT
cana-4293	124	19	𝑔𝑡	𝑔𝑡	ADP
cana-4293	125	1	=	=	PUNCT
cana-4293	125	2	𝑡𝑎𝑛ℎ(𝑊𝑔𝑥𝑡	𝑡𝑎𝑛ℎ(𝑊𝑔𝑥𝑡	VERB
cana-4293	125	3	+	+	CCONJ
cana-4293	125	4	𝑅𝑜ℎ𝑡−1	𝑅𝑜ℎ𝑡−1	VERB
cana-4293	125	5	+	+	CCONJ
cana-4293	125	6	𝑏𝑔)-----------(3	𝑏𝑔)-----------(3	NOUN
cana-4293	125	7	)	)	PUNCT
cana-4293	125	8	𝑖𝑡	𝑖𝑡	NOUN
cana-4293	126	1	=	=	SYM
cana-4293	126	2	𝜎(𝑊𝑜𝑥𝑡	𝜎(𝑊𝑜𝑥𝑡	PROPN
cana-4293	127	1	+	+	CCONJ
cana-4293	127	2	𝑅𝑜ℎ𝑡−1	𝑅𝑜ℎ𝑡−1	VERB
cana-4293	127	3	+	+	CCONJ
cana-4293	127	4	𝑏𝑖)----------(4	𝑏𝑖)----------(4	ADJ
cana-4293	127	5	)	)	PUNCT
cana-4293	127	6	𝑜𝑡	𝑜𝑡	PROPN
cana-4293	127	7	=	=	SYM
cana-4293	127	8	𝜎(𝑊𝑜𝑥𝑡	𝜎(𝑊𝑜𝑥𝑡	PROPN
cana-4293	127	9	+	+	CCONJ
cana-4293	127	10	𝑅𝑜ℎ𝑡−1	𝑅𝑜ℎ𝑡−1	VERB
cana-4293	127	11	+	+	NUM
cana-4293	127	12	𝑏𝑜)-----------(5	𝑏𝑜)-----------(5	NOUN
cana-4293	127	13	)	)	PUNCT
cana-4293	127	14	in	in	ADP
cana-4293	127	15	the	the	DET
cana-4293	127	16	present	present	ADJ
cana-4293	127	17	input	input	NOUN
cana-4293	127	18	state	state	PROPN
cana-4293	127	19	xt	xt	PROPN
cana-4293	127	20	,	,	PUNCT
cana-4293	127	21	the	the	DET
cana-4293	127	22	weight	weight	NOUN
cana-4293	127	23	matrices	matrice	VERB
cana-4293	127	24	are𝑊𝑜	are𝑊𝑜	PROPN
cana-4293	127	25	,	,	PUNCT
cana-4293	127	26	and	and	CCONJ
cana-4293	127	27	the	the	DET
cana-4293	127	28	bias	bias	NOUN
cana-4293	127	29	terms	term	NOUN
cana-4293	127	30	are	be	AUX
cana-4293	127	31	𝑏𝑓	𝑏𝑓	PRON
cana-4293	127	32	,	,	PUNCT
cana-4293	127	33	𝑏𝑔	𝑏𝑔	PROPN
cana-4293	127	34	,	,	PUNCT
cana-4293	127	35	𝑏𝑖	𝑏𝑖	ADP
cana-4293	127	36	,	,	PUNCT
cana-4293	127	37	and	and	CCONJ
cana-4293	127	38	𝑏𝑜.to	𝑏𝑜.to	PROPN
cana-4293	127	39	determine	determine	VERB
cana-4293	127	40	the	the	DET
cana-4293	127	41	network	network	NOUN
cana-4293	127	42	's	's	PART
cana-4293	127	43	present	present	ADJ
cana-4293	127	44	and	and	CCONJ
cana-4293	127	45	future	future	ADJ
cana-4293	127	46	state	state	NOUN
cana-4293	127	47	,	,	PUNCT
cana-4293	127	48	𝑐𝑡	𝑐𝑡	ADP
cana-4293	127	49	,	,	PUNCT
cana-4293	127	50	one	one	PRON
cana-4293	127	51	can	can	AUX
cana-4293	127	52	use	use	VERB
cana-4293	127	53	𝑐𝑡	𝑐𝑡	ADP
cana-4293	127	54	=	=	PUNCT
cana-4293	127	55	𝑓𝑡	𝑓𝑡	PROPN
cana-4293	127	56	×	×	NOUN
cana-4293	127	57	𝑐𝑡−1	𝑐𝑡−1	NOUN
cana-4293	128	1	+	+	CCONJ
cana-4293	128	2	𝑖𝑡	𝑖𝑡	PROPN
cana-4293	128	3	×	×	PROPN
cana-4293	128	4	𝑔𝑡------------(6	𝑔𝑡------------(6	PROPN
cana-4293	128	5	)	)	PUNCT
cana-4293	128	6	and	and	CCONJ
cana-4293	128	7	the	the	DET
cana-4293	128	8	output	output	NOUN
cana-4293	128	9	yt	yt	NOUN
cana-4293	128	10	of	of	ADP
cana-4293	128	11	the	the	DET
cana-4293	128	12	network	network	NOUN
cana-4293	128	13	is	be	AUX
cana-4293	128	14	𝑦𝑡	𝑦𝑡	NOUN
cana-4293	128	15	=	=	PUNCT
cana-4293	128	16	ℎ𝑡	ℎ𝑡	NOUN
cana-4293	128	17	=	=	PUNCT
cana-4293	128	18	𝑜𝑡	𝑜𝑡	PROPN
cana-4293	128	19	×	×	PROPN
cana-4293	128	20	𝑡𝑎𝑛ℎ(𝑐𝑡)-----------(7	𝑡𝑎𝑛ℎ(𝑐𝑡)-----------(7	PROPN
cana-4293	128	21	)	)	PUNCT
cana-4293	128	22	where	where	SCONJ
cana-4293	128	23	,	,	PUNCT
cana-4293	128	24	ct-1	ct-1	PUNCT
cana-4293	128	25	represents	represent	VERB
cana-4293	128	26	the	the	DET
cana-4293	128	27	previous	previous	ADJ
cana-4293	128	28	long	long	ADJ
cana-4293	128	29	-	-	PUNCT
cana-4293	128	30	term	term	NOUN
cana-4293	128	31	state	state	NOUN
cana-4293	128	32	.	.	PUNCT
cana-4293	129	1	3.2.3	3.2.3	NUM
cana-4293	129	2	cvbn	cvbn	NOUN
cana-4293	129	3	by	by	ADP
cana-4293	129	4	combining	combine	VERB
cana-4293	129	5	the	the	DET
cana-4293	129	6	strengths	strength	NOUN
cana-4293	129	7	of	of	ADP
cana-4293	129	8	vgg19	vgg19	PROPN
cana-4293	129	9	's	's	PART
cana-4293	129	10	cnn	cnn	PROPN
cana-4293	129	11	for	for	ADP
cana-4293	129	12	feature	feature	NOUN
cana-4293	129	13	extraction	extraction	NOUN
cana-4293	129	14	with	with	ADP
cana-4293	129	15	bi	bi	ADJ
cana-4293	129	16	-	-	ADJ
cana-4293	129	17	lstm	lstm	ADJ
cana-4293	129	18	's	's	PART
cana-4293	129	19	sophisticated	sophisticated	ADJ
cana-4293	129	20	temporal	temporal	ADJ
cana-4293	129	21	pattern	pattern	NOUN
cana-4293	129	22	recognition	recognition	NOUN
cana-4293	129	23	,	,	PUNCT
cana-4293	129	24	the	the	DET
cana-4293	129	25	cascaded	cascade	VERB
cana-4293	129	26	vgg19	vgg19	NOUN
cana-4293	129	27	with	with	ADP
cana-4293	129	28	bi	bi	ADJ
cana-4293	129	29	-	-	ADJ
cana-4293	129	30	lstm	lstm	ADJ
cana-4293	129	31	model	model	NOUN
cana-4293	129	32	achieves	achieve	VERB
cana-4293	129	33	exceptional	exceptional	ADJ
cana-4293	129	34	communications	communication	NOUN
cana-4293	129	35	on	on	ADP
cana-4293	129	36	applied	apply	VERB
cana-4293	129	37	nonlinear	nonlinear	ADJ
cana-4293	129	38	analysis	analysis	NOUN
cana-4293	129	39	issn	issn	NOUN
cana-4293	129	40	:	:	PUNCT
cana-4293	129	41	1074	1074	NUM
cana-4293	129	42	-	-	PUNCT
cana-4293	129	43	133x	133x	NUM
cana-4293	129	44	vol	vol	NOUN
cana-4293	129	45	32	32	NUM
cana-4293	129	46	no	no	NOUN
cana-4293	129	47	.	.	PUNCT
cana-4293	130	1	9s	9s	NUM
cana-4293	130	2	(	(	PUNCT
cana-4293	130	3	2025	2025	NUM
cana-4293	130	4	)	)	PUNCT
cana-4293	130	5	1747	1747	NUM
cana-4293	131	1	https://internationalpubls.co	https://internationalpubls.co	PROPN
cana-4293	131	2	m	m	PROPN
cana-4293	131	3	results	result	NOUN
cana-4293	131	4	.	.	PUNCT
cana-4293	132	1	at	at	ADP
cana-4293	132	2	first	first	ADV
cana-4293	132	3	,	,	PUNCT
cana-4293	132	4	the	the	DET
cana-4293	132	5	19	19	NUM
cana-4293	132	6	-	-	PUNCT
cana-4293	132	7	layer	layer	NOUN
cana-4293	132	8	deep	deep	ADJ
cana-4293	132	9	architecture	architecture	NOUN
cana-4293	132	10	of	of	ADP
cana-4293	132	11	the	the	DET
cana-4293	132	12	vgg19	vgg19	PROPN
cana-4293	132	13	model	model	NOUN
cana-4293	132	14	captures	capture	VERB
cana-4293	132	15	complex	complex	ADJ
cana-4293	132	16	visual	visual	ADJ
cana-4293	132	17	details	detail	NOUN
cana-4293	132	18	and	and	CCONJ
cana-4293	132	19	patterns	pattern	NOUN
cana-4293	132	20	in	in	ADP
cana-4293	132	21	input	input	NOUN
cana-4293	132	22	pictures	picture	NOUN
cana-4293	132	23	by	by	ADP
cana-4293	132	24	extracting	extract	VERB
cana-4293	132	25	high	high	ADJ
cana-4293	132	26	-	-	PUNCT
cana-4293	132	27	level	level	NOUN
cana-4293	132	28	spatial	spatial	ADJ
cana-4293	132	29	data	datum	NOUN
cana-4293	132	30	.	.	PUNCT
cana-4293	133	1	the	the	DET
cana-4293	133	2	bi	bi	ADJ
cana-4293	133	3	-	-	ADJ
cana-4293	133	4	lstm	lstm	ADJ
cana-4293	133	5	network	network	NOUN
cana-4293	133	6	takes	take	VERB
cana-4293	133	7	in	in	ADP
cana-4293	133	8	the	the	DET
cana-4293	133	9	extracted	extract	VERB
cana-4293	133	10	features	feature	NOUN
cana-4293	133	11	and	and	CCONJ
cana-4293	133	12	uses	use	VERB
cana-4293	133	13	them	they	PRON
cana-4293	133	14	to	to	PART
cana-4293	133	15	analyse	analyse	VERB
cana-4293	133	16	the	the	DET
cana-4293	133	17	data	datum	NOUN
cana-4293	133	18	in	in	ADP
cana-4293	133	19	both	both	DET
cana-4293	133	20	directions	direction	NOUN
cana-4293	133	21	,	,	PUNCT
cana-4293	133	22	identifying	identify	VERB
cana-4293	133	23	linkages	linkage	NOUN
cana-4293	133	24	and	and	CCONJ
cana-4293	133	25	temporal	temporal	ADJ
cana-4293	133	26	correlations	correlation	NOUN
cana-4293	133	27	in	in	ADP
cana-4293	133	28	the	the	DET
cana-4293	133	29	feature	feature	NOUN
cana-4293	133	30	sequence	sequence	NOUN
cana-4293	133	31	.	.	PUNCT
cana-4293	134	1	the	the	DET
cana-4293	134	2	model	model	NOUN
cana-4293	134	3	's	's	PART
cana-4293	134	4	capacity	capacity	NOUN
cana-4293	134	5	to	to	PART
cana-4293	134	6	detect	detect	VERB
cana-4293	134	7	nuanced	nuanced	ADJ
cana-4293	134	8	data	datum	NOUN
cana-4293	134	9	changes	change	NOUN
cana-4293	134	10	is	be	AUX
cana-4293	134	11	improved	improve	VERB
cana-4293	134	12	by	by	ADP
cana-4293	134	13	this	this	DET
cana-4293	134	14	bidirectional	bidirectional	ADJ
cana-4293	134	15	processing	processing	NOUN
cana-4293	134	16	,	,	PUNCT
cana-4293	134	17	which	which	PRON
cana-4293	134	18	allows	allow	VERB
cana-4293	134	19	it	it	PRON
cana-4293	134	20	to	to	PART
cana-4293	134	21	remember	remember	VERB
cana-4293	134	22	context	context	NOUN
cana-4293	134	23	from	from	ADP
cana-4293	134	24	both	both	CCONJ
cana-4293	134	25	previous	previous	ADJ
cana-4293	134	26	and	and	CCONJ
cana-4293	134	27	future	future	ADJ
cana-4293	134	28	states	state	NOUN
cana-4293	134	29	.	.	PUNCT
cana-4293	135	1	by	by	ADP
cana-4293	135	2	combining	combine	VERB
cana-4293	135	3	vgg19	vgg19	PROPN
cana-4293	135	4	with	with	ADP
cana-4293	135	5	bi	bi	NOUN
cana-4293	135	6	-	-	ADJ
cana-4293	135	7	lstm	lstm	ADJ
cana-4293	135	8	,	,	PUNCT
cana-4293	135	9	a	a	DET
cana-4293	135	10	strong	strong	ADJ
cana-4293	135	11	framework	framework	NOUN
cana-4293	135	12	is	be	AUX
cana-4293	135	13	created	create	VERB
cana-4293	135	14	.	.	PUNCT
cana-4293	136	1	this	this	DET
cana-4293	136	2	framework	framework	NOUN
cana-4293	136	3	is	be	AUX
cana-4293	136	4	capable	capable	ADJ
cana-4293	136	5	of	of	ADP
cana-4293	136	6	accurately	accurately	ADV
cana-4293	136	7	classifying	classify	VERB
cana-4293	136	8	complicated	complicated	ADJ
cana-4293	136	9	pictures	picture	NOUN
cana-4293	136	10	,	,	PUNCT
cana-4293	136	11	such	such	ADJ
cana-4293	136	12	as	as	ADP
cana-4293	136	13	those	those	PRON
cana-4293	136	14	showing	show	VERB
cana-4293	136	15	breast	breast	NOUN
cana-4293	136	16	lumps	lump	NOUN
cana-4293	136	17	that	that	PRON
cana-4293	136	18	are	be	AUX
cana-4293	136	19	either	either	CCONJ
cana-4293	136	20	benign	benign	ADJ
cana-4293	136	21	or	or	CCONJ
cana-4293	136	22	malignant	malignant	ADJ
cana-4293	136	23	.	.	PUNCT
cana-4293	137	1	as	as	ADP
cana-4293	137	2	a	a	DET
cana-4293	137	3	consequence	consequence	NOUN
cana-4293	137	4	,	,	PUNCT
cana-4293	137	5	diagnostic	diagnostic	ADJ
cana-4293	137	6	accuracy	accuracy	NOUN
cana-4293	137	7	and	and	CCONJ
cana-4293	137	8	reliability	reliability	NOUN
cana-4293	137	9	are	be	AUX
cana-4293	137	10	enhanced	enhance	VERB
cana-4293	137	11	for	for	ADP
cana-4293	137	12	the	the	DET
cana-4293	137	13	early	early	ADJ
cana-4293	137	14	diagnosis	diagnosis	NOUN
cana-4293	137	15	of	of	ADP
cana-4293	137	16	breast	breast	NOUN
cana-4293	137	17	cancer	cancer	NOUN
cana-4293	137	18	.	.	PUNCT
cana-4293	138	1	when	when	SCONJ
cana-4293	138	2	compared	compare	VERB
cana-4293	138	3	to	to	ADP
cana-4293	138	4	more	more	ADJ
cana-4293	138	5	conventional	conventional	ADJ
cana-4293	138	6	rnns	rnn	NOUN
cana-4293	138	7	and	and	CCONJ
cana-4293	138	8	feedforward	feedforward	ADJ
cana-4293	138	9	neural	neural	ADJ
cana-4293	138	10	networks	network	NOUN
cana-4293	138	11	,	,	PUNCT
cana-4293	138	12	recurrent	recurrent	ADJ
cana-4293	138	13	hidden	hide	VERB
cana-4293	138	14	layers	layer	NOUN
cana-4293	138	15	with	with	ADP
cana-4293	138	16	their	their	PRON
cana-4293	138	17	recurrent	recurrent	ADJ
cana-4293	138	18	connections	connection	NOUN
cana-4293	138	19	and	and	CCONJ
cana-4293	138	20	dedicated	dedicated	ADJ
cana-4293	138	21	memory	memory	NOUN
cana-4293	138	22	blocks	block	NOUN
cana-4293	138	23	provide	provide	VERB
cana-4293	138	24	superior	superior	ADJ
cana-4293	138	25	performance	performance	NOUN
cana-4293	138	26	when	when	SCONJ
cana-4293	138	27	modelling	model	VERB
cana-4293	138	28	sequence	sequence	NOUN
cana-4293	138	29	data	datum	NOUN
cana-4293	138	30	.	.	PUNCT
cana-4293	139	1	the	the	DET
cana-4293	139	2	network	network	NOUN
cana-4293	139	3	's	's	PART
cana-4293	139	4	temporal	temporal	ADJ
cana-4293	139	5	state	state	NOUN
cana-4293	139	6	is	be	AUX
cana-4293	139	7	stored	store	VERB
cana-4293	139	8	at	at	ADP
cana-4293	139	9	each	each	DET
cana-4293	139	10	time	time	NOUN
cana-4293	139	11	step	step	NOUN
cana-4293	139	12	by	by	ADP
cana-4293	139	13	memory	memory	NOUN
cana-4293	139	14	cells	cell	NOUN
cana-4293	139	15	with	with	ADP
cana-4293	139	16	self	self	NOUN
cana-4293	139	17	-	-	PUNCT
cana-4293	139	18	connections	connection	NOUN
cana-4293	139	19	in	in	ADP
cana-4293	139	20	memory	memory	NOUN
cana-4293	139	21	structures	structure	NOUN
cana-4293	139	22	.	.	PUNCT
cana-4293	140	1	further	far	ADV
cana-4293	140	2	,	,	PUNCT
cana-4293	140	3	the	the	DET
cana-4293	140	4	gates	gate	NOUN
cana-4293	140	5	,	,	PUNCT
cana-4293	140	6	which	which	PRON
cana-4293	140	7	are	be	AUX
cana-4293	140	8	multiplication	multiplication	NOUN
cana-4293	140	9	units	unit	NOUN
cana-4293	140	10	,	,	PUNCT
cana-4293	140	11	allow	allow	VERB
cana-4293	140	12	information	information	NOUN
cana-4293	140	13	to	to	PART
cana-4293	140	14	flow	flow	VERB
cana-4293	140	15	into	into	ADP
cana-4293	140	16	the	the	DET
cana-4293	140	17	memory	memory	NOUN
cana-4293	140	18	cell	cell	NOUN
cana-4293	140	19	(	(	PUNCT
cana-4293	140	20	via	via	ADP
cana-4293	140	21	the	the	DET
cana-4293	140	22	input	input	NOUN
cana-4293	140	23	gate	gate	NOUN
cana-4293	140	24	)	)	PUNCT
cana-4293	140	25	and	and	CCONJ
cana-4293	140	26	out	out	ADP
cana-4293	140	27	of	of	ADP
cana-4293	140	28	the	the	DET
cana-4293	140	29	cell	cell	NOUN
cana-4293	140	30	(	(	PUNCT
cana-4293	140	31	through	through	ADP
cana-4293	140	32	the	the	DET
cana-4293	140	33	output	output	NOUN
cana-4293	140	34	gate	gate	NOUN
cana-4293	140	35	)	)	PUNCT
cana-4293	140	36	.	.	PUNCT
cana-4293	141	1	in	in	ADP
cana-4293	141	2	order	order	NOUN
cana-4293	141	3	to	to	PART
cana-4293	141	4	understand	understand	VERB
cana-4293	141	5	the	the	DET
cana-4293	141	6	precise	precise	ADJ
cana-4293	141	7	timing	timing	NOUN
cana-4293	141	8	of	of	ADP
cana-4293	141	9	the	the	DET
cana-4293	141	10	outputs	output	NOUN
cana-4293	141	11	,	,	PUNCT
cana-4293	141	12	the	the	DET
cana-4293	141	13	lstm	lstm	NOUN
cana-4293	141	14	design	design	NOUN
cana-4293	141	15	makes	make	VERB
cana-4293	141	16	use	use	NOUN
cana-4293	141	17	of	of	ADP
cana-4293	141	18	"	"	PUNCT
cana-4293	141	19	peephole	peephole	ADJ
cana-4293	141	20	"	"	PUNCT
cana-4293	141	21	connections	connection	NOUN
cana-4293	141	22	.	.	PUNCT
cana-4293	142	1	figure	figure	NOUN
cana-4293	142	2	1	1	NUM
cana-4293	142	3	depicts	depict	VERB
cana-4293	142	4	the	the	DET
cana-4293	142	5	layout	layout	NOUN
cana-4293	142	6	of	of	ADP
cana-4293	142	7	the	the	DET
cana-4293	142	8	lstm	lstm	PROPN
cana-4293	142	9	network	network	NOUN
cana-4293	142	10	.	.	PUNCT
cana-4293	143	1	from	from	ADP
cana-4293	143	2	repeatedly	repeatedly	ADV
cana-4293	143	3	calculating	calculate	VERB
cana-4293	143	4	the	the	DET
cana-4293	143	5	output	output	NOUN
cana-4293	143	6	sequence	sequence	NOUN
cana-4293	143	7	from	from	ADP
cana-4293	143	8	time	time	NOUN
cana-4293	143	9	step	step	NOUN
cana-4293	143	10	t=	t=	NOUN
cana-4293	143	11	1	1	NUM
cana-4293	143	12	to	to	ADP
cana-4293	143	13	t	t	PROPN
cana-4293	143	14	,	,	PUNCT
cana-4293	143	15	the	the	DET
cana-4293	143	16	following	following	ADJ
cana-4293	143	17	mathematical	mathematical	ADJ
cana-4293	143	18	phrases	phrase	NOUN
cana-4293	143	19	are	be	AUX
cana-4293	143	20	used	use	VERB
cana-4293	143	21	:	:	PUNCT
cana-4293	143	22	𝑖𝑡	𝑖𝑡	PART
cana-4293	143	23	=	=	PRON
cana-4293	143	24	𝜎[(𝑊𝑖𝑥	𝜎[(𝑊𝑖𝑥	VERB
cana-4293	143	25	×	×	NOUN
cana-4293	143	26	𝑥𝑡	𝑥𝑡	ADV
cana-4293	143	27	)	)	PUNCT
cana-4293	144	1	+	+	CCONJ
cana-4293	144	2	(	(	PUNCT
cana-4293	144	3	𝑊𝑖𝑟	𝑊𝑖𝑟	PROPN
cana-4293	144	4	×	×	NOUN
cana-4293	144	5	𝑟𝑡−1	𝑟𝑡−1	ADJ
cana-4293	144	6	)	)	PUNCT
cana-4293	145	1	+	+	CCONJ
cana-4293	145	2	(	(	PUNCT
cana-4293	145	3	𝑊𝑖𝑐	𝑊𝑖𝑐	ADJ
cana-4293	145	4	×	×	NOUN
cana-4293	145	5	𝑐𝑡−1	𝑐𝑡−1	NOUN
cana-4293	145	6	)	)	PUNCT
cana-4293	146	1	+	+	CCONJ
cana-4293	146	2	𝑏𝑖	𝑏𝑖	ADP
cana-4293	146	3	]	]	X
cana-4293	146	4	-------(8	-------(8	ADJ
cana-4293	146	5	)	)	PUNCT
cana-4293	146	6	𝑓𝑡	𝑓𝑡	PROPN
cana-4293	146	7	=	=	PUNCT
cana-4293	146	8	𝜎[(𝑊𝑓𝑥	𝜎[(𝑊𝑓𝑥	NOUN
cana-4293	146	9	×	×	NOUN
cana-4293	146	10	𝑥𝑡	𝑥𝑡	ADV
cana-4293	146	11	)	)	PUNCT
cana-4293	147	1	+	+	CCONJ
cana-4293	147	2	(	(	PUNCT
cana-4293	147	3	𝑊𝑓𝑟	𝑊𝑓𝑟	ADJ
cana-4293	147	4	×	×	NOUN
cana-4293	147	5	𝑟𝑡−1	𝑟𝑡−1	ADJ
cana-4293	147	6	)	)	PUNCT
cana-4293	148	1	+	+	CCONJ
cana-4293	148	2	(	(	PUNCT
cana-4293	148	3	𝑊𝑐𝑟	𝑊𝑐𝑟	PROPN
cana-4293	148	4	×	×	PROPN
cana-4293	148	5	𝑐𝑡−1	𝑐𝑡−1	NOUN
cana-4293	148	6	)	)	PUNCT
cana-4293	149	1	+	+	CCONJ
cana-4293	149	2	𝑏𝑖	𝑏𝑖	ADP
cana-4293	149	3	]	]	X
cana-4293	149	4	----------(9	----------(9	NOUN
cana-4293	149	5	)	)	PUNCT
cana-4293	149	6	those	those	PRON
cana-4293	149	7	are	be	AUX
cana-4293	149	8	the	the	DET
cana-4293	149	9	weight	weight	NOUN
cana-4293	149	10	matrices	matrix	NOUN
cana-4293	149	11	denoted	denote	VERB
cana-4293	149	12	by	by	ADP
cana-4293	149	13	w.	w.	PROPN
cana-4293	149	14	for	for	ADP
cana-4293	149	15	instance	instance	NOUN
cana-4293	149	16	,	,	PUNCT
cana-4293	149	17	the	the	DET
cana-4293	149	18	input	input	NOUN
cana-4293	149	19	gate	gate	NOUN
cana-4293	149	20	to	to	PART
cana-4293	149	21	input	input	VERB
cana-4293	149	22	weight	weight	NOUN
cana-4293	149	23	matrix	matrix	NOUN
cana-4293	149	24	is	be	AUX
cana-4293	149	25	represented	represent	VERB
cana-4293	149	26	as	as	ADP
cana-4293	149	27	𝑊𝑖𝑥.	𝑊𝑖𝑥.	PROPN
cana-4293	149	28	in	in	ADP
cana-4293	149	29	the	the	DET
cana-4293	149	30	present	present	ADJ
cana-4293	149	31	input	input	NOUN
cana-4293	149	32	state𝑥𝑡	state𝑥𝑡	PROPN
cana-4293	149	33	,	,	PUNCT
cana-4293	149	34	the	the	DET
cana-4293	149	35	weight	weight	NOUN
cana-4293	149	36	matrices	matrix	NOUN
cana-4293	149	37	are	be	AUX
cana-4293	149	38	𝑊𝑜	𝑊𝑜	PROPN
cana-4293	149	39	,	,	PUNCT
cana-4293	149	40	and	and	CCONJ
cana-4293	149	41	the	the	DET
cana-4293	149	42	bias	bias	NOUN
cana-4293	149	43	terms	term	NOUN
cana-4293	149	44	are	be	AUX
cana-4293	149	45	𝑏𝑓	𝑏𝑓	PRON
cana-4293	149	46	,	,	PUNCT
cana-4293	149	47	𝑏𝑔	𝑏𝑔	PROPN
cana-4293	149	48	,	,	PUNCT
cana-4293	149	49	𝑏𝑖	𝑏𝑖	ADP
cana-4293	149	50	,	,	PUNCT
cana-4293	149	51	and	and	CCONJ
cana-4293	149	52	𝑏𝑜.to	𝑏𝑜.to	PROPN
cana-4293	149	53	determine	determine	VERB
cana-4293	149	54	the	the	DET
cana-4293	149	55	network	network	NOUN
cana-4293	149	56	's	's	PART
cana-4293	149	57	present	present	ADJ
cana-4293	149	58	and	and	CCONJ
cana-4293	149	59	future	future	ADJ
cana-4293	149	60	state	state	NOUN
cana-4293	149	61	,	,	PUNCT
cana-4293	149	62	𝑐𝑡	𝑐𝑡	ADP
cana-4293	149	63	,	,	PUNCT
cana-4293	149	64	one	one	PRON
cana-4293	149	65	can	can	AUX
cana-4293	149	66	use	use	VERB
cana-4293	149	67	𝑟𝑡	𝑟𝑡	NOUN
cana-4293	149	68	=	=	PUNCT
cana-4293	149	69	𝑜𝑡.	𝑜𝑡.	VERB
cana-4293	149	70	tanh(𝑐𝑡	tanh(𝑐𝑡	ADV
cana-4293	149	71	)	)	PUNCT
cana-4293	149	72	------------(10	------------(10	NOUN
cana-4293	149	73	)	)	PUNCT
cana-4293	149	74	𝑦𝑡	𝑦𝑡	NOUN
cana-4293	150	1	=	=	PRON
cana-4293	150	2	∅(𝑊𝑦𝑟	∅(𝑊𝑦𝑟	VERB
cana-4293	150	3	×	×	PROPN
cana-4293	150	4	𝑟𝑡	𝑟𝑡	PROPN
cana-4293	151	1	+	+	CCONJ
cana-4293	151	2	𝑏𝑦	𝑏𝑦	NOUN
cana-4293	151	3	)	)	PUNCT
cana-4293	151	4	---------------(11	---------------(11	NOUN
cana-4293	151	5	)	)	PUNCT
cana-4293	151	6	figure	figure	NOUN
cana-4293	151	7	4	4	NUM
cana-4293	151	8	:	:	PUNCT
cana-4293	151	9	cvbn	cvbn	NOUN
cana-4293	151	10	architecture	architecture	NOUN
cana-4293	151	11	communications	communication	NOUN
cana-4293	151	12	on	on	ADP
cana-4293	151	13	applied	apply	VERB
cana-4293	151	14	nonlinear	nonlinear	ADJ
cana-4293	151	15	analysis	analysis	NOUN
cana-4293	151	16	issn	issn	NOUN
cana-4293	151	17	:	:	PUNCT
cana-4293	151	18	1074	1074	NUM
cana-4293	151	19	-	-	PUNCT
cana-4293	151	20	133x	133x	NUM
cana-4293	151	21	vol	vol	NOUN
cana-4293	151	22	32	32	NUM
cana-4293	151	23	no	no	NOUN
cana-4293	151	24	.	.	PUNCT
cana-4293	152	1	9s	9s	NUM
cana-4293	152	2	(	(	PUNCT
cana-4293	152	3	2025	2025	NUM
cana-4293	152	4	)	)	PUNCT
cana-4293	152	5	1748	1748	NUM
cana-4293	153	1	https://internationalpubls.co	https://internationalpubls.co	X
cana-4293	153	2	m	m	PROPN
cana-4293	153	3	despite	despite	SCONJ
cana-4293	153	4	rnns	rnns	NOUN
cana-4293	153	5	'	'	PART
cana-4293	153	6	benefit	benefit	NOUN
cana-4293	153	7	of	of	ADP
cana-4293	153	8	encoding	encode	VERB
cana-4293	153	9	input	input	NOUN
cana-4293	153	10	dependencies	dependency	NOUN
cana-4293	153	11	,	,	PUNCT
cana-4293	153	12	they	they	PRON
cana-4293	153	13	experience	experience	VERB
cana-4293	153	14	a	a	DET
cana-4293	153	15	condition	condition	NOUN
cana-4293	153	16	of	of	ADP
cana-4293	153	17	inflating	inflate	VERB
cana-4293	153	18	and	and	CCONJ
cana-4293	153	19	disappearing	disappear	VERB
cana-4293	153	20	against	against	ADP
cana-4293	153	21	their	their	PRON
cana-4293	153	22	gradient	gradient	NOUN
cana-4293	153	23	when	when	SCONJ
cana-4293	153	24	dealing	deal	VERB
cana-4293	153	25	with	with	ADP
cana-4293	153	26	lengthy	lengthy	ADJ
cana-4293	153	27	data	datum	NOUN
cana-4293	153	28	sequences	sequence	NOUN
cana-4293	153	29	.	.	PUNCT
cana-4293	154	1	utilizing	utilize	VERB
cana-4293	154	2	bi	bi	NOUN
cana-4293	154	3	-	-	ADJ
cana-4293	154	4	rnn	rnn	NOUN
cana-4293	154	5	allows	allow	VERB
cana-4293	154	6	for	for	ADP
cana-4293	154	7	even	even	ADV
cana-4293	154	8	more	more	ADJ
cana-4293	154	9	gains	gain	NOUN
cana-4293	154	10	than	than	ADP
cana-4293	154	11	lstm	lstm	NOUN
cana-4293	154	12	and	and	CCONJ
cana-4293	154	13	rnn	rnn	PROPN
cana-4293	154	14	,	,	PUNCT
cana-4293	154	15	which	which	PRON
cana-4293	154	16	are	be	AUX
cana-4293	154	17	limited	limit	VERB
cana-4293	154	18	to	to	ADP
cana-4293	154	19	utilizing	utilize	VERB
cana-4293	154	20	data	datum	NOUN
cana-4293	154	21	from	from	ADP
cana-4293	154	22	the	the	DET
cana-4293	154	23	preceding	precede	VERB
cana-4293	154	24	context	context	NOUN
cana-4293	154	25	.	.	PUNCT
cana-4293	155	1	figure	figure	NOUN
cana-4293	155	2	1	1	NUM
cana-4293	155	3	shows	show	VERB
cana-4293	155	4	that	that	SCONJ
cana-4293	155	5	the	the	DET
cana-4293	155	6	bi	bi	NOUN
cana-4293	155	7	-	-	NOUN
cana-4293	155	8	lstm	lstm	NOUN
cana-4293	155	9	,	,	PUNCT
cana-4293	155	10	which	which	PRON
cana-4293	155	11	can	can	AUX
cana-4293	155	12	handle	handle	VERB
cana-4293	155	13	data	datum	NOUN
cana-4293	155	14	from	from	ADP
cana-4293	155	15	two	two	NUM
cana-4293	155	16	sources	source	NOUN
cana-4293	155	17	concurrently	concurrently	ADV
cana-4293	155	18	,	,	PUNCT
cana-4293	155	19	is	be	AUX
cana-4293	155	20	the	the	DET
cana-4293	155	21	product	product	NOUN
cana-4293	155	22	of	of	ADP
cana-4293	155	23	merging	merge	VERB
cana-4293	155	24	the	the	DET
cana-4293	155	25	bi	bi	NOUN
cana-4293	155	26	-	-	NOUN
cana-4293	155	27	rnn	rnn	NOUN
cana-4293	155	28	and	and	CCONJ
cana-4293	155	29	the	the	DET
cana-4293	155	30	lstm	lstm	NOUN
cana-4293	155	31	.	.	PUNCT
cana-4293	156	1	in	in	ADP
cana-4293	156	2	addition	addition	NOUN
cana-4293	156	3	to	to	ADP
cana-4293	156	4	lstm	lstm	PROPN
cana-4293	156	5	's	's	PART
cana-4293	156	6	feedback	feedback	NOUN
cana-4293	156	7	features	feature	NOUN
cana-4293	156	8	for	for	ADP
cana-4293	156	9	the	the	DET
cana-4293	156	10	layer	layer	NOUN
cana-4293	156	11	below	below	ADV
cana-4293	156	12	,	,	PUNCT
cana-4293	156	13	the	the	DET
cana-4293	156	14	bi	bi	NOUN
cana-4293	156	15	-	-	NOUN
cana-4293	156	16	lstm	lstm	ADJ
cana-4293	156	17	can	can	AUX
cana-4293	156	18	handle	handle	VERB
cana-4293	156	19	data	datum	NOUN
cana-4293	156	20	that	that	PRON
cana-4293	156	21	relies	rely	VERB
cana-4293	156	22	on	on	ADP
cana-4293	156	23	long	long	ADJ
cana-4293	156	24	-	-	PUNCT
cana-4293	156	25	range	range	NOUN
cana-4293	156	26	connections	connection	NOUN
cana-4293	156	27	.	.	PUNCT
cana-4293	157	1	algorithm	algorithm	NOUN
cana-4293	157	2	1	1	NUM
cana-4293	157	3	:	:	PUNCT
cana-4293	157	4	cvbn	cvbn	NOUN
cana-4293	157	5	input	input	NOUN
cana-4293	157	6	:	:	PUNCT
cana-4293	157	7	mammogram	mammogram	NOUN
cana-4293	157	8	images	image	NOUN
cana-4293	157	9	or	or	CCONJ
cana-4293	157	10	other	other	ADJ
cana-4293	157	11	breast	breast	NOUN
cana-4293	157	12	cancer	cancer	NOUN
cana-4293	157	13	diagnostic	diagnostic	ADJ
cana-4293	157	14	images	image	NOUN
cana-4293	157	15	.	.	PUNCT
cana-4293	158	1	typically	typically	ADV
cana-4293	158	2	,	,	PUNCT
cana-4293	158	3	these	these	PRON
cana-4293	158	4	are	be	AUX
cana-4293	158	5	grayscale	grayscale	NOUN
cana-4293	158	6	or	or	CCONJ
cana-4293	158	7	rgb	rgb	PROPN
cana-4293	158	8	images	image	NOUN
cana-4293	158	9	with	with	ADP
cana-4293	158	10	specific	specific	ADJ
cana-4293	158	11	dimensions	dimension	NOUN
cana-4293	158	12	.	.	PUNCT
cana-4293	159	1	steps	step	NOUN
cana-4293	159	2	:	:	PUNCT
cana-4293	159	3	feature	feature	NOUN
cana-4293	159	4	extraction	extraction	NOUN
cana-4293	159	5	using	use	VERB
cana-4293	159	6	vgg19	vgg19	NOUN
cana-4293	159	7	:	:	PUNCT
cana-4293	159	8	•	•	PUNCT
cana-4293	159	9	utilize	utilize	VERB
cana-4293	159	10	the	the	DET
cana-4293	159	11	pre	pre	ADJ
cana-4293	159	12	-	-	ADJ
cana-4293	159	13	trained	train	VERB
cana-4293	159	14	vgg19	vgg19	NOUN
cana-4293	159	15	model	model	NOUN
cana-4293	159	16	to	to	PART
cana-4293	159	17	extract	extract	VERB
cana-4293	159	18	high	high	ADJ
cana-4293	159	19	-	-	PUNCT
cana-4293	159	20	level	level	NOUN
cana-4293	159	21	spatial	spatial	ADJ
cana-4293	159	22	features	feature	NOUN
cana-4293	159	23	from	from	ADP
cana-4293	159	24	input	input	NOUN
cana-4293	159	25	images	image	NOUN
cana-4293	159	26	.	.	PUNCT
cana-4293	160	1	•	•	NUM
cana-4293	160	2	vgg19	vgg19	PROPN
cana-4293	160	3	captures	capture	VERB
cana-4293	160	4	intricate	intricate	ADJ
cana-4293	160	5	visual	visual	ADJ
cana-4293	160	6	details	detail	NOUN
cana-4293	160	7	and	and	CCONJ
cana-4293	160	8	patterns	pattern	NOUN
cana-4293	160	9	through	through	ADP
cana-4293	160	10	its	its	PRON
cana-4293	160	11	deep	deep	ADJ
cana-4293	160	12	convolutional	convolutional	ADJ
cana-4293	160	13	layers	layer	NOUN
cana-4293	160	14	.	.	PUNCT
cana-4293	161	1	feature	feature	NOUN
cana-4293	161	2	representation	representation	NOUN
cana-4293	161	3	:	:	PUNCT
cana-4293	161	4	•	•	ADP
cana-4293	161	5	the	the	DET
cana-4293	161	6	output	output	NOUN
cana-4293	161	7	features	feature	VERB
cana-4293	161	8	from	from	ADP
cana-4293	161	9	vgg19	vgg19	PROPN
cana-4293	161	10	represent	represent	VERB
cana-4293	161	11	a	a	DET
cana-4293	161	12	high	high	ADJ
cana-4293	161	13	-	-	PUNCT
cana-4293	161	14	dimensional	dimensional	ADJ
cana-4293	161	15	representation	representation	NOUN
cana-4293	161	16	of	of	ADP
cana-4293	161	17	the	the	DET
cana-4293	161	18	input	input	NOUN
cana-4293	161	19	images	image	NOUN
cana-4293	161	20	.	.	PUNCT
cana-4293	162	1	bidirectional	bidirectional	ADJ
cana-4293	162	2	long	long	ADJ
cana-4293	162	3	short	short	ADJ
cana-4293	162	4	-	-	PUNCT
cana-4293	162	5	term	term	NOUN
cana-4293	162	6	memory	memory	NOUN
cana-4293	162	7	(	(	PUNCT
cana-4293	162	8	bi	bi	NOUN
cana-4293	162	9	-	-	ADJ
cana-4293	162	10	lstm	lstm	ADJ
cana-4293	162	11	)	)	PUNCT
cana-4293	162	12	processing	processing	NOUN
cana-4293	162	13	:	:	PUNCT
cana-4293	162	14	•	•	NUM
cana-4293	162	15	input	input	NOUN
cana-4293	162	16	the	the	DET
cana-4293	162	17	extracted	extract	VERB
cana-4293	162	18	features	feature	NOUN
cana-4293	162	19	into	into	ADP
cana-4293	162	20	the	the	DET
cana-4293	162	21	bi	bi	ADJ
cana-4293	162	22	-	-	ADJ
cana-4293	162	23	lstm	lstm	ADJ
cana-4293	162	24	network	network	NOUN
cana-4293	162	25	.	.	PUNCT
cana-4293	163	1	•	•	NUM
cana-4293	163	2	bi	bi	ADJ
cana-4293	163	3	-	-	ADJ
cana-4293	163	4	lstm	lstm	ADJ
cana-4293	163	5	processes	process	NOUN
cana-4293	163	6	these	these	DET
cana-4293	163	7	features	feature	NOUN
cana-4293	163	8	bidirectionally	bidirectionally	ADV
cana-4293	163	9	,	,	PUNCT
cana-4293	163	10	capturing	capture	VERB
cana-4293	163	11	temporal	temporal	ADJ
cana-4293	163	12	dependencies	dependency	NOUN
cana-4293	163	13	within	within	ADP
cana-4293	163	14	the	the	DET
cana-4293	163	15	sequence	sequence	NOUN
cana-4293	163	16	of	of	ADP
cana-4293	163	17	features	feature	NOUN
cana-4293	163	18	.	.	PUNCT
cana-4293	164	1	•	•	NUM
cana-4293	164	2	the	the	DET
cana-4293	164	3	lstm	lstm	PROPN
cana-4293	164	4	cells	cell	NOUN
cana-4293	164	5	in	in	ADP
cana-4293	164	6	bi	bi	ADJ
cana-4293	164	7	-	-	ADJ
cana-4293	164	8	lstm	lstm	NOUN
cana-4293	164	9	maintain	maintain	VERB
cana-4293	164	10	memory	memory	NOUN
cana-4293	164	11	over	over	ADP
cana-4293	164	12	long	long	ADJ
cana-4293	164	13	sequences	sequence	NOUN
cana-4293	164	14	,	,	PUNCT
cana-4293	164	15	enhancing	enhance	VERB
cana-4293	164	16	the	the	DET
cana-4293	164	17	model	model	NOUN
cana-4293	164	18	's	's	PART
cana-4293	164	19	ability	ability	NOUN
cana-4293	164	20	to	to	PART
cana-4293	164	21	understand	understand	VERB
cana-4293	164	22	and	and	CCONJ
cana-4293	164	23	utilize	utilize	VERB
cana-4293	164	24	sequential	sequential	ADJ
cana-4293	164	25	information	information	NOUN
cana-4293	164	26	effectively	effectively	ADV
cana-4293	164	27	.	.	PUNCT
cana-4293	165	1	temporal	temporal	ADJ
cana-4293	165	2	context	context	NOUN
cana-4293	165	3	integration	integration	NOUN
cana-4293	165	4	:	:	PUNCT
cana-4293	165	5	•	•	ADP
cana-4293	165	6	the	the	DET
cana-4293	165	7	integration	integration	NOUN
cana-4293	165	8	of	of	ADP
cana-4293	165	9	bi	bi	NOUN
cana-4293	165	10	-	-	NOUN
cana-4293	165	11	lstm	lstm	ADJ
cana-4293	165	12	allows	allow	VERB
cana-4293	165	13	the	the	DET
cana-4293	165	14	model	model	NOUN
cana-4293	165	15	to	to	PART
cana-4293	165	16	retain	retain	VERB
cana-4293	165	17	context	context	NOUN
cana-4293	165	18	from	from	ADP
cana-4293	165	19	both	both	PRON
cana-4293	165	20	past	past	ADJ
cana-4293	165	21	and	and	CCONJ
cana-4293	165	22	future	future	ADJ
cana-4293	165	23	states	state	NOUN
cana-4293	165	24	,	,	PUNCT
cana-4293	165	25	enhancing	enhance	VERB
cana-4293	165	26	its	its	PRON
cana-4293	165	27	capability	capability	NOUN
cana-4293	165	28	to	to	PART
cana-4293	165	29	discern	discern	VERB
cana-4293	165	30	subtle	subtle	ADJ
cana-4293	165	31	differences	difference	NOUN
cana-4293	165	32	and	and	CCONJ
cana-4293	165	33	patterns	pattern	NOUN
cana-4293	165	34	within	within	ADP
cana-4293	165	35	the	the	DET
cana-4293	165	36	data	datum	NOUN
cana-4293	165	37	.	.	PUNCT
cana-4293	166	1	output	output	NOUN
cana-4293	166	2	:	:	PUNCT
cana-4293	166	3	output	output	NOUN
cana-4293	166	4	predictions	prediction	NOUN
cana-4293	166	5	based	base	VERB
cana-4293	166	6	on	on	ADP
cana-4293	166	7	the	the	DET
cana-4293	166	8	processed	process	VERB
cana-4293	166	9	features	feature	NOUN
cana-4293	166	10	and	and	CCONJ
cana-4293	166	11	temporal	temporal	ADJ
cana-4293	166	12	dependencies	dependency	NOUN
cana-4293	166	13	captured	capture	VERB
cana-4293	166	14	by	by	ADP
cana-4293	166	15	the	the	DET
cana-4293	166	16	bi	bi	ADJ
cana-4293	166	17	-	-	ADJ
cana-4293	166	18	lstm	lstm	ADJ
cana-4293	166	19	network	network	NOUN
cana-4293	166	20	.	.	PUNCT
cana-4293	167	1	communications	communication	NOUN
cana-4293	167	2	on	on	ADP
cana-4293	167	3	applied	apply	VERB
cana-4293	167	4	nonlinear	nonlinear	ADJ
cana-4293	167	5	analysis	analysis	NOUN
cana-4293	167	6	issn	issn	NOUN
cana-4293	167	7	:	:	PUNCT
cana-4293	167	8	1074	1074	NUM
cana-4293	167	9	-	-	PUNCT
cana-4293	167	10	133x	133x	NUM
cana-4293	167	11	vol	vol	NOUN
cana-4293	167	12	32	32	NUM
cana-4293	167	13	no	no	NOUN
cana-4293	167	14	.	.	PUNCT
cana-4293	168	1	9s	9s	NUM
cana-4293	168	2	(	(	PUNCT
cana-4293	168	3	2025	2025	NUM
cana-4293	168	4	)	)	PUNCT
cana-4293	168	5	1749	1749	NUM
cana-4293	168	6	https://internationalpubls.co	https://internationalpubls.co	PROPN
cana-4293	168	7	m	m	NOUN
cana-4293	168	8	iv	iv	NUM
cana-4293	168	9	.	.	PUNCT
cana-4293	168	10	results	result	NOUN
cana-4293	168	11	and	and	CCONJ
cana-4293	168	12	discussion	discussion	NOUN
cana-4293	168	13	in	in	ADP
cana-4293	168	14	this	this	DET
cana-4293	168	15	section	section	NOUN
cana-4293	168	16	,	,	PUNCT
cana-4293	168	17	the	the	DET
cana-4293	168	18	results	result	NOUN
cana-4293	168	19	and	and	CCONJ
cana-4293	168	20	discussion	discussion	NOUN
cana-4293	168	21	highlight	highlight	VERB
cana-4293	168	22	the	the	DET
cana-4293	168	23	performance	performance	NOUN
cana-4293	168	24	outcomes	outcome	NOUN
cana-4293	168	25	and	and	CCONJ
cana-4293	168	26	insights	insight	NOUN
cana-4293	168	27	derived	derive	VERB
cana-4293	168	28	from	from	ADP
cana-4293	168	29	applying	apply	VERB
cana-4293	168	30	the	the	DET
cana-4293	168	31	proposed	propose	VERB
cana-4293	168	32	cvbn	cvbn	NOUN
cana-4293	168	33	method	method	NOUN
cana-4293	168	34	.	.	PUNCT
cana-4293	169	1	the	the	DET
cana-4293	169	2	section	section	NOUN
cana-4293	169	3	begins	begin	VERB
cana-4293	169	4	with	with	ADP
cana-4293	169	5	an	an	DET
cana-4293	169	6	analysis	analysis	NOUN
cana-4293	169	7	of	of	ADP
cana-4293	169	8	key	key	ADJ
cana-4293	169	9	metrics	metric	NOUN
cana-4293	169	10	such	such	ADJ
cana-4293	169	11	as	as	ADP
cana-4293	169	12	accuracy	accuracy	NOUN
cana-4293	169	13	,	,	PUNCT
cana-4293	169	14	precision	precision	NOUN
cana-4293	169	15	,	,	PUNCT
cana-4293	169	16	recall	recall	NOUN
cana-4293	169	17	,	,	PUNCT
cana-4293	169	18	f	f	X
cana-4293	169	19	-	-	PUNCT
cana-4293	169	20	measure	measure	NOUN
cana-4293	169	21	,	,	PUNCT
cana-4293	169	22	mean	mean	VERB
cana-4293	169	23	squared	square	VERB
cana-4293	169	24	error	error	NOUN
cana-4293	169	25	(	(	PUNCT
cana-4293	169	26	mse	mse	NOUN
cana-4293	169	27	)	)	PUNCT
cana-4293	169	28	,	,	PUNCT
cana-4293	169	29	and	and	CCONJ
cana-4293	169	30	psnr	psnr	NOUN
cana-4293	169	31	.	.	PUNCT
cana-4293	170	1	figure	figure	NOUN
cana-4293	170	2	5	5	NUM
cana-4293	170	3	:	:	PUNCT
cana-4293	170	4	training	training	NOUN
cana-4293	170	5	accuracy	accuracy	NOUN
cana-4293	170	6	value	value	NOUN
cana-4293	170	7	comparison	comparison	NOUN
cana-4293	170	8	chart	chart	VERB
cana-4293	170	9	a	a	DET
cana-4293	170	10	comparison	comparison	NOUN
cana-4293	170	11	chart	chart	NOUN
cana-4293	170	12	of	of	ADP
cana-4293	170	13	training	training	NOUN
cana-4293	170	14	accuracy	accuracy	NOUN
cana-4293	170	15	values	value	NOUN
cana-4293	170	16	is	be	AUX
cana-4293	170	17	shown	show	VERB
cana-4293	170	18	in	in	ADP
cana-4293	170	19	figure	figure	NOUN
cana-4293	170	20	5	5	NUM
cana-4293	170	21	.	.	PUNCT
cana-4293	171	1	values	value	NOUN
cana-4293	171	2	for	for	ADP
cana-4293	171	3	precision	precision	NOUN
cana-4293	171	4	are	be	AUX
cana-4293	171	5	shown	show	VERB
cana-4293	171	6	on	on	ADP
cana-4293	171	7	the	the	DET
cana-4293	171	8	y	y	NOUN
cana-4293	171	9	-	-	PUNCT
cana-4293	171	10	axis	axis	NOUN
cana-4293	171	11	and	and	CCONJ
cana-4293	171	12	epochs	epoch	NOUN
cana-4293	171	13	are	be	AUX
cana-4293	171	14	shown	show	VERB
cana-4293	171	15	on	on	ADP
cana-4293	171	16	the	the	DET
cana-4293	171	17	x	x	NOUN
cana-4293	171	18	-	-	NOUN
cana-4293	171	19	axis	axis	ADJ
cana-4293	171	20	.	.	PUNCT
cana-4293	172	1	figure	figure	NOUN
cana-4293	172	2	6	6	NUM
cana-4293	172	3	:	:	PUNCT
cana-4293	172	4	training	train	VERB
cana-4293	172	5	loss	loss	NOUN
cana-4293	172	6	value	value	NOUN
cana-4293	172	7	comparison	comparison	NOUN
cana-4293	172	8	chart	chart	NOUN
cana-4293	172	9	figure	figure	VERB
cana-4293	172	10	6	6	NUM
cana-4293	172	11	displays	display	VERB
cana-4293	172	12	a	a	DET
cana-4293	172	13	chart	chart	NOUN
cana-4293	172	14	comparing	compare	VERB
cana-4293	172	15	training	training	NOUN
cana-4293	172	16	loss	loss	NOUN
cana-4293	172	17	values	value	NOUN
cana-4293	172	18	.	.	PUNCT
cana-4293	173	1	loss	loss	NOUN
cana-4293	173	2	values	value	NOUN
cana-4293	173	3	are	be	AUX
cana-4293	173	4	shown	show	VERB
cana-4293	173	5	on	on	ADP
cana-4293	173	6	the	the	DET
cana-4293	173	7	y	y	NOUN
cana-4293	173	8	-	-	PUNCT
cana-4293	173	9	axis	axis	NOUN
cana-4293	173	10	and	and	CCONJ
cana-4293	173	11	epochs	epoch	NOUN
cana-4293	173	12	are	be	AUX
cana-4293	173	13	shown	show	VERB
cana-4293	173	14	on	on	ADP
cana-4293	173	15	the	the	DET
cana-4293	173	16	x	x	NOUN
cana-4293	173	17	-	-	NOUN
cana-4293	173	18	axis	axis	ADJ
cana-4293	173	19	.	.	PUNCT
cana-4293	174	1	communications	communication	NOUN
cana-4293	174	2	on	on	ADP
cana-4293	174	3	applied	apply	VERB
cana-4293	174	4	nonlinear	nonlinear	ADJ
cana-4293	174	5	analysis	analysis	NOUN
cana-4293	174	6	issn	issn	NOUN
cana-4293	174	7	:	:	PUNCT
cana-4293	174	8	1074	1074	NUM
cana-4293	174	9	-	-	PUNCT
cana-4293	174	10	133x	133x	NUM
cana-4293	174	11	vol	vol	NOUN
cana-4293	174	12	32	32	NUM
cana-4293	174	13	no	no	NOUN
cana-4293	174	14	.	.	PUNCT
cana-4293	175	1	9s	9s	NUM
cana-4293	175	2	(	(	PUNCT
cana-4293	175	3	2025	2025	NUM
cana-4293	175	4	)	)	PUNCT
cana-4293	175	5	1750	1750	NUM
cana-4293	175	6	https://internationalpubls.co	https://internationalpubls.co	PROPN
cana-4293	175	7	m	m	PROPN
cana-4293	175	8	figure	figure	NOUN
cana-4293	175	9	7	7	NUM
cana-4293	175	10	:	:	PUNCT
cana-4293	175	11	roc	roc	PROPN
cana-4293	175	12	curve	curve	VERB
cana-4293	175	13	the	the	DET
cana-4293	175	14	roc	roc	PROPN
cana-4293	175	15	curve	curve	NOUN
cana-4293	175	16	is	be	AUX
cana-4293	175	17	shown	show	VERB
cana-4293	175	18	in	in	ADP
cana-4293	175	19	figure	figure	NOUN
cana-4293	175	20	7	7	NUM
cana-4293	175	21	.	.	PUNCT
cana-4293	176	1	the	the	DET
cana-4293	176	2	false	false	ADJ
cana-4293	176	3	positive	positive	ADJ
cana-4293	176	4	rate	rate	NOUN
cana-4293	176	5	is	be	AUX
cana-4293	176	6	shown	show	VERB
cana-4293	176	7	on	on	ADP
cana-4293	176	8	the	the	DET
cana-4293	176	9	x	x	NOUN
cana-4293	176	10	-	-	NOUN
cana-4293	176	11	axis	axis	ADJ
cana-4293	176	12	,	,	PUNCT
cana-4293	176	13	while	while	SCONJ
cana-4293	176	14	the	the	DET
cana-4293	176	15	actual	actual	ADJ
cana-4293	176	16	positive	positive	ADJ
cana-4293	176	17	rate	rate	NOUN
cana-4293	176	18	is	be	AUX
cana-4293	176	19	shown	show	VERB
cana-4293	176	20	on	on	ADP
cana-4293	176	21	the	the	DET
cana-4293	176	22	y	y	NOUN
cana-4293	176	23	-	-	PUNCT
cana-4293	176	24	axis	axis	NOUN
cana-4293	176	25	.	.	PUNCT
cana-4293	176	26	table	table	NOUN
cana-4293	177	1	1	1	NUM
cana-4293	177	2	:	:	PUNCT
cana-4293	177	3	classification	classification	NOUN
cana-4293	177	4	performance	performance	NOUN
cana-4293	177	5	metrics	metric	NOUN
cana-4293	177	6	comparison	comparison	NOUN
cana-4293	177	7	table	table	NOUN
cana-4293	177	8	mias	mias	PROPN
cana-4293	177	9	inbreast	inbreast	VERB
cana-4293	177	10	ddsm	ddsm	PROPN
cana-4293	177	11	methods	method	NOUN
cana-4293	177	12	vgg19	vgg19	VERB
cana-4293	177	13	bilstm	bilstm	NOUN
cana-4293	177	14	cvbn	cvbn	PROPN
cana-4293	177	15	vgg19	vgg19	PROPN
cana-4293	177	16	bilstm	bilstm	NOUN
cana-4293	177	17	cvbn	cvbn	PROPN
cana-4293	177	18	vgg19	vgg19	PROPN
cana-4293	177	19	bilstm	bilstm	NOUN
cana-4293	177	20	cvbn	cvbn	NOUN
cana-4293	177	21	accuracy	accuracy	NOUN
cana-4293	177	22	96.42	96.42	NUM
cana-4293	177	23	96.57	96.57	NUM
cana-4293	177	24	96.89	96.89	NUM
cana-4293	177	25	97.00	97.00	NUM
cana-4293	177	26	97.11	97.11	NUM
cana-4293	177	27	97.65	97.65	NUM
cana-4293	177	28	97.89	97.89	NUM
cana-4293	177	29	98.01	98.01	NUM
cana-4293	177	30	98.79	98.79	NUM
cana-4293	177	31	precision	precision	NOUN
cana-4293	177	32	96.32	96.32	NUM
cana-4293	177	33	96.55	96.55	NUM
cana-4293	177	34	96.95	96.95	NUM
cana-4293	177	35	97.01	97.01	NUM
cana-4293	177	36	97.31	97.31	NUM
cana-4293	177	37	97.52	97.52	NUM
cana-4293	177	38	97.95	97.95	NUM
cana-4293	177	39	98.21	98.21	NUM
cana-4293	177	40	98.79	98.79	NUM
cana-4293	177	41	recall	recall	NOUN
cana-4293	177	42	95.33	95.33	NUM
cana-4293	177	43	96.50	96.50	NUM
cana-4293	177	44	96.99	96.99	NUM
cana-4293	177	45	97.11	97.11	NUM
cana-4293	177	46	97.25	97.25	NUM
cana-4293	177	47	97.89	97.89	NUM
cana-4293	177	48	98.85	98.85	NUM
cana-4293	177	49	99.61	99.61	NUM
cana-4293	177	50	100	100	NUM
cana-4293	177	51	fmeasure	fmeasure	NOUN
cana-4293	177	52	95.02	95.02	NUM
cana-4293	177	53	95.31	95.31	NUM
cana-4293	177	54	96.36	96.36	NUM
cana-4293	177	55	98.36	98.36	NUM
cana-4293	177	56	99.01	99.01	NUM
cana-4293	177	57	99.24	99.24	NUM
cana-4293	177	58	99.02	99.02	NUM
cana-4293	177	59	99.21	99.21	NUM
cana-4293	177	60	99.39	99.39	NUM
cana-4293	177	61	communications	communication	NOUN
cana-4293	177	62	on	on	ADP
cana-4293	177	63	applied	apply	VERB
cana-4293	177	64	nonlinear	nonlinear	ADJ
cana-4293	177	65	analysis	analysis	NOUN
cana-4293	177	66	issn	issn	NOUN
cana-4293	177	67	:	:	PUNCT
cana-4293	177	68	1074	1074	NUM
cana-4293	177	69	-	-	PUNCT
cana-4293	177	70	133x	133x	NUM
cana-4293	177	71	vol	vol	NOUN
cana-4293	177	72	32	32	NUM
cana-4293	177	73	no	no	NOUN
cana-4293	177	74	.	.	PUNCT
cana-4293	178	1	9s	9s	NUM
cana-4293	178	2	(	(	PUNCT
cana-4293	178	3	2025	2025	NUM
cana-4293	178	4	)	)	PUNCT
cana-4293	178	5	1751	1751	NUM
cana-4293	178	6	https://internationalpubls.co	https://internationalpubls.co	PROPN
cana-4293	178	7	m	m	PROPN
cana-4293	178	8	figure	figure	NOUN
cana-4293	178	9	8	8	NUM
cana-4293	178	10	:	:	PUNCT
cana-4293	178	11	classification	classification	NOUN
cana-4293	178	12	performance	performance	NOUN
cana-4293	178	13	metrics	metric	NOUN
cana-4293	178	14	comparison	comparison	NOUN
cana-4293	178	15	chart	chart	VERB
cana-4293	178	16	the	the	DET
cana-4293	178	17	table	table	NOUN
cana-4293	178	18	1	1	NUM
cana-4293	178	19	and	and	CCONJ
cana-4293	178	20	figure	figure	VERB
cana-4293	178	21	8	8	NUM
cana-4293	178	22	shows	show	VERB
cana-4293	178	23	performance	performance	NOUN
cana-4293	178	24	metrics	metric	NOUN
cana-4293	178	25	for	for	ADP
cana-4293	178	26	vgg19	vgg19	PROPN
cana-4293	178	27	,	,	PUNCT
cana-4293	178	28	bi	bi	NOUN
cana-4293	178	29	-	-	ADJ
cana-4293	178	30	lstm	lstm	ADJ
cana-4293	178	31	,	,	PUNCT
cana-4293	178	32	and	and	CCONJ
cana-4293	178	33	cvbn	cvbn	NOUN
cana-4293	178	34	models	model	NOUN
cana-4293	178	35	across	across	ADP
cana-4293	178	36	mias	mias	PROPN
cana-4293	178	37	,	,	PUNCT
cana-4293	178	38	inbreast	inbreast	NOUN
cana-4293	178	39	,	,	PUNCT
cana-4293	178	40	and	and	CCONJ
cana-4293	178	41	ddsm	ddsm	ADJ
cana-4293	178	42	datasets	dataset	NOUN
cana-4293	178	43	demonstrate	demonstrate	VERB
cana-4293	178	44	notable	notable	ADJ
cana-4293	178	45	differences	difference	NOUN
cana-4293	178	46	in	in	ADP
cana-4293	178	47	their	their	PRON
cana-4293	178	48	accuracy	accuracy	NOUN
cana-4293	178	49	,	,	PUNCT
cana-4293	178	50	precision	precision	NOUN
cana-4293	178	51	,	,	PUNCT
cana-4293	178	52	recall	recall	NOUN
cana-4293	178	53	,	,	PUNCT
cana-4293	178	54	and	and	CCONJ
cana-4293	178	55	f	f	X
cana-4293	178	56	-	-	PUNCT
cana-4293	178	57	measure	measure	NOUN
cana-4293	178	58	values	value	NOUN
cana-4293	178	59	.	.	PUNCT
cana-4293	179	1	in	in	ADP
cana-4293	179	2	terms	term	NOUN
cana-4293	179	3	of	of	ADP
cana-4293	179	4	accuracy	accuracy	NOUN
cana-4293	179	5	,	,	PUNCT
cana-4293	179	6	cvbn	cvbn	NOUN
cana-4293	179	7	consistently	consistently	ADV
cana-4293	179	8	outperforms	outperform	VERB
cana-4293	179	9	the	the	DET
cana-4293	179	10	other	other	ADJ
cana-4293	179	11	models	model	NOUN
cana-4293	179	12	,	,	PUNCT
cana-4293	179	13	achieving	achieve	VERB
cana-4293	179	14	96.89	96.89	NUM
cana-4293	179	15	%	%	NOUN
cana-4293	179	16	on	on	ADP
cana-4293	179	17	mias	mias	PROPN
cana-4293	179	18	,	,	PUNCT
cana-4293	179	19	97.65	97.65	NUM
cana-4293	179	20	%	%	NOUN
cana-4293	179	21	on	on	ADP
cana-4293	179	22	inbreast	inbreast	NOUN
cana-4293	179	23	,	,	PUNCT
cana-4293	179	24	and	and	CCONJ
cana-4293	179	25	98.79	98.79	NUM
cana-4293	179	26	%	%	NOUN
cana-4293	179	27	on	on	ADP
cana-4293	179	28	ddsm	ddsm	PROPN
cana-4293	179	29	.	.	PUNCT
cana-4293	180	1	precision	precision	NOUN
cana-4293	180	2	values	value	NOUN
cana-4293	180	3	for	for	ADP
cana-4293	180	4	cvbn	cvbn	NOUN
cana-4293	180	5	are	be	AUX
cana-4293	180	6	similarly	similarly	ADV
cana-4293	180	7	high	high	ADJ
cana-4293	180	8	,	,	PUNCT
cana-4293	180	9	with	with	ADP
cana-4293	180	10	96.95	96.95	NUM
cana-4293	180	11	%	%	NOUN
cana-4293	180	12	,	,	PUNCT
cana-4293	180	13	97.52	97.52	NUM
cana-4293	180	14	%	%	NOUN
cana-4293	180	15	,	,	PUNCT
cana-4293	180	16	and	and	CCONJ
cana-4293	180	17	98.79	98.79	NUM
cana-4293	180	18	%	%	NOUN
cana-4293	180	19	for	for	ADP
cana-4293	180	20	the	the	DET
cana-4293	180	21	respective	respective	ADJ
cana-4293	180	22	datasets	dataset	NOUN
cana-4293	180	23	.	.	PUNCT
cana-4293	181	1	recall	recall	NOUN
cana-4293	181	2	values	value	NOUN
cana-4293	181	3	also	also	ADV
cana-4293	181	4	show	show	VERB
cana-4293	181	5	cvbn	cvbn	NOUN
cana-4293	181	6	's	's	PART
cana-4293	181	7	superiority	superiority	NOUN
cana-4293	181	8	,	,	PUNCT
cana-4293	181	9	with	with	ADP
cana-4293	181	10	perfect	perfect	ADJ
cana-4293	181	11	recall	recall	NOUN
cana-4293	181	12	of	of	ADP
cana-4293	181	13	100	100	NUM
cana-4293	181	14	%	%	NOUN
cana-4293	181	15	on	on	ADP
cana-4293	181	16	ddsm	ddsm	PROPN
cana-4293	181	17	,	,	PUNCT
cana-4293	181	18	97.89	97.89	NUM
cana-4293	181	19	%	%	NOUN
cana-4293	181	20	on	on	ADP
cana-4293	181	21	inbreast	inbreast	NOUN
cana-4293	181	22	,	,	PUNCT
cana-4293	181	23	and	and	CCONJ
cana-4293	181	24	96.99	96.99	NUM
cana-4293	181	25	%	%	NOUN
cana-4293	181	26	on	on	ADP
cana-4293	181	27	mias	mias	PROPN
cana-4293	181	28	.	.	PUNCT
cana-4293	182	1	the	the	DET
cana-4293	182	2	f	f	NOUN
cana-4293	182	3	-	-	PUNCT
cana-4293	182	4	measure	measure	NOUN
cana-4293	182	5	scores	score	NOUN
cana-4293	182	6	highlight	highlight	VERB
cana-4293	182	7	cvbn	cvbn	NOUN
cana-4293	182	8	's	's	PART
cana-4293	182	9	balanced	balanced	ADJ
cana-4293	182	10	performance	performance	NOUN
cana-4293	182	11	,	,	PUNCT
cana-4293	182	12	scoring	score	VERB
cana-4293	182	13	96.36	96.36	NUM
cana-4293	182	14	%	%	NOUN
cana-4293	182	15	on	on	ADP
cana-4293	182	16	mias	mias	PROPN
cana-4293	182	17	,	,	PUNCT
cana-4293	182	18	99.24	99.24	NUM
cana-4293	182	19	%	%	NOUN
cana-4293	182	20	on	on	ADP
cana-4293	182	21	inbreast	inbreast	NOUN
cana-4293	182	22	,	,	PUNCT
cana-4293	182	23	and	and	CCONJ
cana-4293	182	24	99.39	99.39	NUM
cana-4293	182	25	%	%	NOUN
cana-4293	182	26	on	on	ADP
cana-4293	182	27	ddsm	ddsm	PROPN
cana-4293	182	28	.	.	PUNCT
cana-4293	183	1	bi	bi	NOUN
cana-4293	183	2	-	-	NOUN
cana-4293	183	3	lstm	lstm	NOUN
cana-4293	183	4	also	also	ADV
cana-4293	183	5	performs	perform	VERB
cana-4293	183	6	well	well	ADV
cana-4293	183	7	,	,	PUNCT
cana-4293	183	8	especially	especially	ADV
cana-4293	183	9	on	on	ADP
cana-4293	183	10	the	the	DET
cana-4293	183	11	ddsm	ddsm	PROPN
cana-4293	183	12	dataset	dataset	NOUN
cana-4293	183	13	,	,	PUNCT
cana-4293	183	14	with	with	ADP
cana-4293	183	15	an	an	DET
cana-4293	183	16	accuracy	accuracy	NOUN
cana-4293	183	17	of	of	ADP
cana-4293	183	18	98.01	98.01	NUM
cana-4293	183	19	%	%	NOUN
cana-4293	183	20	,	,	PUNCT
cana-4293	183	21	precision	precision	NOUN
cana-4293	183	22	of	of	ADP
cana-4293	183	23	98.21	98.21	NUM
cana-4293	183	24	%	%	NOUN
cana-4293	183	25	,	,	PUNCT
cana-4293	183	26	recall	recall	NOUN
cana-4293	183	27	of	of	ADP
cana-4293	183	28	99.61	99.61	NUM
cana-4293	183	29	%	%	NOUN
cana-4293	183	30	,	,	PUNCT
cana-4293	183	31	and	and	CCONJ
cana-4293	183	32	an	an	DET
cana-4293	183	33	f	f	NOUN
cana-4293	183	34	-	-	PUNCT
cana-4293	183	35	measure	measure	NOUN
cana-4293	183	36	of	of	ADP
cana-4293	183	37	99.21	99.21	NUM
cana-4293	183	38	%	%	NOUN
cana-4293	183	39	.	.	PUNCT
cana-4293	184	1	vgg19	vgg19	PROPN
cana-4293	184	2	,	,	PUNCT
cana-4293	184	3	while	while	SCONJ
cana-4293	184	4	slightly	slightly	ADV
cana-4293	184	5	lower	low	ADJ
cana-4293	184	6	,	,	PUNCT
cana-4293	184	7	still	still	ADV
cana-4293	184	8	shows	show	VERB
cana-4293	184	9	strong	strong	ADJ
cana-4293	184	10	performance	performance	NOUN
cana-4293	184	11	,	,	PUNCT
cana-4293	184	12	particularly	particularly	ADV
cana-4293	184	13	on	on	ADP
cana-4293	184	14	the	the	DET
cana-4293	184	15	ddsm	ddsm	NOUN
cana-4293	184	16	dataset	dataset	NOUN
cana-4293	184	17	,	,	PUNCT
cana-4293	184	18	with	with	ADP
cana-4293	184	19	an	an	DET
cana-4293	184	20	accuracy	accuracy	NOUN
cana-4293	184	21	of	of	ADP
cana-4293	184	22	97.89	97.89	NUM
cana-4293	184	23	%	%	NOUN
cana-4293	184	24	,	,	PUNCT
cana-4293	184	25	precision	precision	NOUN
cana-4293	184	26	of	of	ADP
cana-4293	184	27	97.95	97.95	NUM
cana-4293	184	28	%	%	NOUN
cana-4293	184	29	,	,	PUNCT
cana-4293	184	30	recall	recall	NOUN
cana-4293	184	31	of	of	ADP
cana-4293	184	32	98.85	98.85	NUM
cana-4293	184	33	%	%	NOUN
cana-4293	184	34	,	,	PUNCT
cana-4293	184	35	and	and	CCONJ
cana-4293	184	36	an	an	DET
cana-4293	184	37	f	f	NOUN
cana-4293	184	38	-	-	PUNCT
cana-4293	184	39	measure	measure	NOUN
cana-4293	184	40	of	of	ADP
cana-4293	184	41	99.02	99.02	NUM
cana-4293	184	42	%	%	NOUN
cana-4293	184	43	.	.	PUNCT
cana-4293	185	1	these	these	DET
cana-4293	185	2	results	result	NOUN
cana-4293	185	3	clearly	clearly	ADV
cana-4293	185	4	indicate	indicate	VERB
cana-4293	185	5	that	that	DET
cana-4293	185	6	cvbn	cvbn	NOUN
cana-4293	185	7	is	be	AUX
cana-4293	185	8	the	the	DET
cana-4293	185	9	most	most	ADV
cana-4293	185	10	effective	effective	ADJ
cana-4293	185	11	model	model	NOUN
cana-4293	185	12	across	across	ADP
cana-4293	185	13	all	all	DET
cana-4293	185	14	datasets	dataset	NOUN
cana-4293	185	15	,	,	PUNCT
cana-4293	185	16	excelling	excel	VERB
cana-4293	185	17	in	in	ADP
cana-4293	185	18	all	all	DET
cana-4293	185	19	evaluated	evaluated	ADJ
cana-4293	185	20	metrics	metric	NOUN
cana-4293	185	21	and	and	CCONJ
cana-4293	185	22	demonstrating	demonstrate	VERB
cana-4293	185	23	its	its	PRON
cana-4293	185	24	robustness	robustness	NOUN
cana-4293	185	25	in	in	ADP
cana-4293	185	26	accurately	accurately	ADV
cana-4293	185	27	detecting	detect	VERB
cana-4293	185	28	and	and	CCONJ
cana-4293	185	29	classifying	classify	VERB
cana-4293	185	30	breast	breast	NOUN
cana-4293	185	31	cancer	cancer	NOUN
cana-4293	185	32	images	image	NOUN
cana-4293	185	33	.	.	PUNCT
cana-4293	186	1	table	table	NOUN
cana-4293	186	2	2	2	NUM
cana-4293	186	3	:	:	PUNCT
cana-4293	186	4	mse	mse	NOUN
cana-4293	186	5	and	and	CCONJ
cana-4293	186	6	psnr	psnr	PROPN
cana-4293	186	7	value	value	NOUN
cana-4293	186	8	comparison	comparison	NOUN
cana-4293	186	9	table	table	NOUN
cana-4293	186	10	methods	method	NOUN
cana-4293	186	11	mse	mse	PROPN
cana-4293	186	12	psnr	psnr	PROPN
cana-4293	186	13	vgg19	vgg19	PROPN
cana-4293	186	14	0.017	0.017	NUM
cana-4293	186	15	17.32	17.32	NUM
cana-4293	186	16	bi	bi	NOUN
cana-4293	186	17	-	-	ADJ
cana-4293	186	18	lstm	lstm	ADJ
cana-4293	186	19	0.014	0.014	NUM
cana-4293	186	20	18.01	18.01	NUM
cana-4293	186	21	cvbn	cvbn	NOUN
cana-4293	186	22	0.012	0.012	NUM
cana-4293	186	23	19.13	19.13	NUM
cana-4293	186	24	communications	communication	NOUN
cana-4293	186	25	on	on	ADP
cana-4293	186	26	applied	apply	VERB
cana-4293	186	27	nonlinear	nonlinear	ADJ
cana-4293	186	28	analysis	analysis	NOUN
cana-4293	186	29	issn	issn	NOUN
cana-4293	186	30	:	:	PUNCT
cana-4293	186	31	1074	1074	NUM
cana-4293	186	32	-	-	PUNCT
cana-4293	186	33	133x	133x	NUM
cana-4293	186	34	vol	vol	NOUN
cana-4293	186	35	32	32	NUM
cana-4293	186	36	no	no	NOUN
cana-4293	186	37	.	.	PUNCT
cana-4293	187	1	9s	9s	NUM
cana-4293	187	2	(	(	PUNCT
cana-4293	187	3	2025	2025	NUM
cana-4293	187	4	)	)	PUNCT
cana-4293	187	5	1752	1752	NUM
cana-4293	187	6	https://internationalpubls.co	https://internationalpubls.co	PROPN
cana-4293	187	7	m	m	NOUN
cana-4293	187	8	figure	figure	NOUN
cana-4293	187	9	9	9	NUM
cana-4293	187	10	:	:	PUNCT
cana-4293	187	11	mse	mse	NOUN
cana-4293	187	12	value	value	PROPN
cana-4293	187	13	comparison	comparison	NOUN
cana-4293	187	14	chart	chart	NOUN
cana-4293	187	15	figure	figure	NOUN
cana-4293	187	16	10	10	NUM
cana-4293	187	17	:	:	PUNCT
cana-4293	187	18	psnr	psnr	NOUN
cana-4293	187	19	value	value	NOUN
cana-4293	187	20	comparison	comparison	NOUN
cana-4293	187	21	chart	chart	VERB
cana-4293	187	22	the	the	DET
cana-4293	187	23	table	table	NOUN
cana-4293	187	24	2	2	NUM
cana-4293	187	25	and	and	CCONJ
cana-4293	187	26	figure	figure	VERB
cana-4293	187	27	9	9	NUM
cana-4293	187	28	,	,	PUNCT
cana-4293	187	29	10	10	NUM
cana-4293	187	30	shows	show	NOUN
cana-4293	187	31	mean	mean	VERB
cana-4293	187	32	squared	square	VERB
cana-4293	187	33	error	error	NOUN
cana-4293	187	34	(	(	PUNCT
cana-4293	187	35	mse	mse	NOUN
cana-4293	187	36	)	)	PUNCT
cana-4293	187	37	and	and	CCONJ
cana-4293	187	38	peak	peak	NOUN
cana-4293	187	39	signal	signal	NOUN
cana-4293	187	40	-	-	PUNCT
cana-4293	187	41	to	to	ADP
cana-4293	187	42	-	-	PUNCT
cana-4293	187	43	noise	noise	NOUN
cana-4293	187	44	ratio	ratio	NOUN
cana-4293	187	45	(	(	PUNCT
cana-4293	187	46	psnr	psnr	NOUN
cana-4293	187	47	)	)	PUNCT
cana-4293	187	48	metrics	metric	NOUN
cana-4293	187	49	provide	provide	VERB
cana-4293	187	50	insights	insight	NOUN
cana-4293	187	51	into	into	ADP
cana-4293	187	52	the	the	DET
cana-4293	187	53	image	image	NOUN
cana-4293	187	54	processing	processing	NOUN
cana-4293	187	55	capabilities	capability	NOUN
cana-4293	187	56	of	of	ADP
cana-4293	187	57	vgg19	vgg19	PROPN
cana-4293	187	58	,	,	PUNCT
cana-4293	187	59	bi	bi	NOUN
cana-4293	187	60	-	-	ADJ
cana-4293	187	61	lstm	lstm	ADJ
cana-4293	187	62	,	,	PUNCT
cana-4293	187	63	and	and	CCONJ
cana-4293	187	64	cvbn	cvbn	NOUN
cana-4293	187	65	models	model	NOUN
cana-4293	187	66	.	.	PUNCT
cana-4293	188	1	vgg19	vgg19	VERB
cana-4293	188	2	exhibits	exhibit	VERB
cana-4293	188	3	the	the	DET
cana-4293	188	4	highest	high	ADJ
cana-4293	188	5	mse	mse	NOUN
cana-4293	188	6	of	of	ADP
cana-4293	188	7	0.017	0.017	NUM
cana-4293	188	8	and	and	CCONJ
cana-4293	188	9	the	the	DET
cana-4293	188	10	lowest	low	ADJ
cana-4293	188	11	psnr	psnr	NOUN
cana-4293	188	12	of	of	ADP
cana-4293	188	13	17.32	17.32	NUM
cana-4293	188	14	db	db	PROPN
cana-4293	188	15	,	,	PUNCT
cana-4293	188	16	indicating	indicate	VERB
cana-4293	188	17	relatively	relatively	ADV
cana-4293	188	18	higher	high	ADJ
cana-4293	188	19	image	image	NOUN
cana-4293	188	20	reconstruction	reconstruction	NOUN
cana-4293	188	21	errors	error	NOUN
cana-4293	188	22	and	and	CCONJ
cana-4293	188	23	lower	low	ADJ
cana-4293	188	24	quality	quality	NOUN
cana-4293	188	25	in	in	ADP
cana-4293	188	26	image	image	NOUN
cana-4293	188	27	representation	representation	NOUN
cana-4293	188	28	communications	communication	NOUN
cana-4293	188	29	on	on	ADP
cana-4293	188	30	applied	apply	VERB
cana-4293	188	31	nonlinear	nonlinear	ADJ
cana-4293	188	32	analysis	analysis	NOUN
cana-4293	188	33	issn	issn	NOUN
cana-4293	188	34	:	:	PUNCT
cana-4293	188	35	1074	1074	NUM
cana-4293	188	36	-	-	PUNCT
cana-4293	188	37	133x	133x	NUM
cana-4293	188	38	vol	vol	NOUN
cana-4293	188	39	32	32	NUM
cana-4293	188	40	no	no	NOUN
cana-4293	188	41	.	.	PUNCT
cana-4293	189	1	9s	9s	NUM
cana-4293	189	2	(	(	PUNCT
cana-4293	189	3	2025	2025	NUM
cana-4293	189	4	)	)	PUNCT
cana-4293	189	5	1753	1753	NUM
cana-4293	190	1	https://internationalpubls.co	https://internationalpubls.co	X
cana-4293	190	2	m	m	VERB
cana-4293	190	3	compared	compare	VERB
cana-4293	190	4	to	to	ADP
cana-4293	190	5	the	the	DET
cana-4293	190	6	other	other	ADJ
cana-4293	190	7	models	model	NOUN
cana-4293	190	8	.	.	PUNCT
cana-4293	191	1	bi	bi	ADJ
cana-4293	191	2	-	-	NOUN
cana-4293	191	3	lstm	lstm	NOUN
cana-4293	191	4	shows	show	VERB
cana-4293	191	5	a	a	DET
cana-4293	191	6	notable	notable	ADJ
cana-4293	191	7	improvement	improvement	NOUN
cana-4293	191	8	with	with	ADP
cana-4293	191	9	reduced	reduced	ADJ
cana-4293	191	10	mse	mse	NOUN
cana-4293	191	11	of	of	ADP
cana-4293	191	12	0.014	0.014	NUM
cana-4293	191	13	and	and	CCONJ
cana-4293	191	14	enhanced	enhance	VERB
cana-4293	191	15	psnr	psnr	NOUN
cana-4293	191	16	of	of	ADP
cana-4293	191	17	18.01	18.01	NUM
cana-4293	191	18	db	db	PROPN
cana-4293	191	19	,	,	PUNCT
cana-4293	191	20	suggesting	suggest	VERB
cana-4293	191	21	better	well	ADJ
cana-4293	191	22	image	image	NOUN
cana-4293	191	23	fidelity	fidelity	NOUN
cana-4293	191	24	and	and	CCONJ
cana-4293	191	25	lower	low	ADJ
cana-4293	191	26	reconstruction	reconstruction	NOUN
cana-4293	191	27	errors	error	NOUN
cana-4293	191	28	than	than	ADP
cana-4293	191	29	vgg19	vgg19	PROPN
cana-4293	191	30	.	.	PUNCT
cana-4293	192	1	cvbn	cvbn	NOUN
cana-4293	192	2	outperforms	outperform	NOUN
cana-4293	192	3	both	both	DET
cana-4293	192	4	models	model	NOUN
cana-4293	192	5	with	with	ADP
cana-4293	192	6	the	the	DET
cana-4293	192	7	lowest	low	ADJ
cana-4293	192	8	mse	mse	NOUN
cana-4293	192	9	of	of	ADP
cana-4293	192	10	0.012	0.012	NUM
cana-4293	192	11	and	and	CCONJ
cana-4293	192	12	the	the	DET
cana-4293	192	13	highest	high	ADJ
cana-4293	192	14	psnr	psnr	NOUN
cana-4293	192	15	of	of	ADP
cana-4293	192	16	19.13	19.13	NUM
cana-4293	192	17	db	db	NOUN
cana-4293	192	18	,	,	PUNCT
cana-4293	192	19	indicating	indicate	VERB
cana-4293	192	20	superior	superior	ADJ
cana-4293	192	21	image	image	NOUN
cana-4293	192	22	reconstruction	reconstruction	NOUN
cana-4293	192	23	quality	quality	NOUN
cana-4293	192	24	and	and	CCONJ
cana-4293	192	25	minimal	minimal	ADJ
cana-4293	192	26	distortion	distortion	NOUN
cana-4293	192	27	,	,	PUNCT
cana-4293	192	28	highlighting	highlight	VERB
cana-4293	192	29	its	its	PRON
cana-4293	192	30	effectiveness	effectiveness	NOUN
cana-4293	192	31	in	in	ADP
cana-4293	192	32	maintaining	maintain	VERB
cana-4293	192	33	image	image	NOUN
cana-4293	192	34	fidelity	fidelity	NOUN
cana-4293	192	35	.	.	PUNCT
cana-4293	193	1	these	these	DET
cana-4293	193	2	results	result	NOUN
cana-4293	193	3	underscore	underscore	VERB
cana-4293	193	4	cvbn	cvbn	NOUN
cana-4293	193	5	's	's	PART
cana-4293	193	6	superiority	superiority	NOUN
cana-4293	193	7	in	in	ADP
cana-4293	193	8	image	image	NOUN
cana-4293	193	9	processing	processing	NOUN
cana-4293	193	10	tasks	task	NOUN
cana-4293	193	11	,	,	PUNCT
cana-4293	193	12	demonstrating	demonstrate	VERB
cana-4293	193	13	its	its	PRON
cana-4293	193	14	capability	capability	NOUN
cana-4293	193	15	to	to	PART
cana-4293	193	16	achieve	achieve	VERB
cana-4293	193	17	higher	high	ADJ
cana-4293	193	18	image	image	NOUN
cana-4293	193	19	quality	quality	NOUN
cana-4293	193	20	and	and	CCONJ
cana-4293	193	21	accuracy	accuracy	NOUN
cana-4293	193	22	compared	compare	VERB
cana-4293	193	23	to	to	ADP
cana-4293	193	24	traditional	traditional	ADJ
cana-4293	193	25	cnn	cnn	PROPN
cana-4293	193	26	and	and	CCONJ
cana-4293	193	27	lstm	lstm	NOUN
cana-4293	193	28	-	-	PUNCT
cana-4293	193	29	based	base	VERB
cana-4293	193	30	approaches	approach	NOUN
cana-4293	193	31	.	.	PUNCT
cana-4293	194	1	v.	v.	ADP
cana-4293	194	2	conclusion	conclusion	NOUN
cana-4293	194	3	the	the	DET
cana-4293	194	4	cvbn	cvbn	NOUN
cana-4293	194	5	architecture	architecture	NOUN
cana-4293	194	6	represents	represent	VERB
cana-4293	194	7	a	a	DET
cana-4293	194	8	significant	significant	ADJ
cana-4293	194	9	advancement	advancement	NOUN
cana-4293	194	10	in	in	ADP
cana-4293	194	11	the	the	DET
cana-4293	194	12	early	early	ADJ
cana-4293	194	13	detection	detection	NOUN
cana-4293	194	14	of	of	ADP
cana-4293	194	15	breast	breast	NOUN
cana-4293	194	16	cancer	cancer	NOUN
cana-4293	194	17	,	,	PUNCT
cana-4293	194	18	utilizing	utilize	VERB
cana-4293	194	19	state	state	NOUN
cana-4293	194	20	-	-	PUNCT
cana-4293	194	21	of	of	ADP
cana-4293	194	22	-	-	PUNCT
cana-4293	194	23	the	the	DET
cana-4293	194	24	-	-	PUNCT
cana-4293	194	25	art	art	NOUN
cana-4293	194	26	techniques	technique	NOUN
cana-4293	194	27	in	in	ADP
cana-4293	194	28	deep	deep	ADJ
cana-4293	194	29	learning	learning	NOUN
cana-4293	194	30	and	and	CCONJ
cana-4293	194	31	image	image	NOUN
cana-4293	194	32	segmentation	segmentation	NOUN
cana-4293	194	33	.	.	PUNCT
cana-4293	195	1	by	by	ADP
cana-4293	195	2	integrating	integrate	VERB
cana-4293	195	3	the	the	DET
cana-4293	195	4	cascaded	cascade	VERB
cana-4293	195	5	vgg19	vgg19	NOUN
cana-4293	195	6	model	model	NOUN
cana-4293	195	7	with	with	ADP
cana-4293	195	8	bidirectional	bidirectional	ADJ
cana-4293	195	9	long	long	ADJ
cana-4293	195	10	short	short	ADJ
cana-4293	195	11	-	-	PUNCT
cana-4293	195	12	term	term	NOUN
cana-4293	195	13	memory	memory	NOUN
cana-4293	195	14	(	(	PUNCT
cana-4293	195	15	bi	bi	NOUN
cana-4293	195	16	-	-	ADJ
cana-4293	195	17	lstm	lstm	ADJ
cana-4293	195	18	)	)	PUNCT
cana-4293	195	19	networks	network	NOUN
cana-4293	195	20	and	and	CCONJ
cana-4293	195	21	unet	unet	NOUN
cana-4293	195	22	segmentation	segmentation	NOUN
cana-4293	195	23	,	,	PUNCT
cana-4293	195	24	this	this	DET
cana-4293	195	25	research	research	NOUN
cana-4293	195	26	demonstrates	demonstrate	VERB
cana-4293	195	27	substantial	substantial	ADJ
cana-4293	195	28	improvements	improvement	NOUN
cana-4293	195	29	in	in	ADP
cana-4293	195	30	predictive	predictive	ADJ
cana-4293	195	31	accuracy	accuracy	NOUN
cana-4293	195	32	,	,	PUNCT
cana-4293	195	33	sensitivity	sensitivity	NOUN
cana-4293	195	34	,	,	PUNCT
cana-4293	195	35	and	and	CCONJ
cana-4293	195	36	specificity	specificity	NOUN
cana-4293	195	37	on	on	ADP
cana-4293	195	38	breast	breast	NOUN
cana-4293	195	39	cancer	cancer	NOUN
cana-4293	195	40	datasets	dataset	NOUN
cana-4293	195	41	.	.	PUNCT
cana-4293	196	1	the	the	DET
cana-4293	196	2	enhanced	enhance	VERB
cana-4293	196	3	feature	feature	NOUN
cana-4293	196	4	extraction	extraction	NOUN
cana-4293	196	5	and	and	CCONJ
cana-4293	196	6	precise	precise	ADJ
cana-4293	196	7	tumor	tumor	NOUN
cana-4293	196	8	localization	localization	NOUN
cana-4293	196	9	capabilities	capability	NOUN
cana-4293	196	10	of	of	ADP
cana-4293	196	11	cvbn	cvbn	NOUN
cana-4293	196	12	underscore	underscore	VERB
cana-4293	196	13	its	its	PRON
cana-4293	196	14	potential	potential	NOUN
cana-4293	196	15	as	as	ADP
cana-4293	196	16	a	a	DET
cana-4293	196	17	robust	robust	ADJ
cana-4293	196	18	tool	tool	NOUN
cana-4293	196	19	for	for	ADP
cana-4293	196	20	improving	improve	VERB
cana-4293	196	21	diagnostic	diagnostic	ADJ
cana-4293	196	22	outcomes	outcome	NOUN
cana-4293	196	23	and	and	CCONJ
cana-4293	196	24	patient	patient	ADJ
cana-4293	196	25	care	care	NOUN
cana-4293	196	26	.	.	PUNCT
cana-4293	197	1	future	future	ADJ
cana-4293	197	2	studies	study	NOUN
cana-4293	197	3	should	should	AUX
cana-4293	197	4	continue	continue	VERB
cana-4293	197	5	to	to	PART
cana-4293	197	6	refine	refine	VERB
cana-4293	197	7	and	and	CCONJ
cana-4293	197	8	validate	validate	VERB
cana-4293	197	9	this	this	DET
cana-4293	197	10	approach	approach	NOUN
cana-4293	197	11	across	across	ADP
cana-4293	197	12	diverse	diverse	ADJ
cana-4293	197	13	datasets	dataset	NOUN
cana-4293	197	14	,	,	PUNCT
cana-4293	197	15	aiming	aim	VERB
cana-4293	197	16	to	to	PART
cana-4293	197	17	further	far	ADV
cana-4293	197	18	optimize	optimize	VERB
cana-4293	197	19	its	its	PRON
cana-4293	197	20	performance	performance	NOUN
cana-4293	197	21	and	and	CCONJ
cana-4293	197	22	clinical	clinical	ADJ
cana-4293	197	23	applicability	applicability	NOUN
cana-4293	197	24	in	in	ADP
cana-4293	197	25	early	early	ADJ
cana-4293	197	26	breast	breast	NOUN
cana-4293	197	27	cancer	cancer	NOUN
cana-4293	197	28	detection	detection	NOUN
cana-4293	197	29	.	.	PUNCT
cana-4293	198	1	reference	reference	NOUN
cana-4293	198	2	1	1	NUM
cana-4293	198	3	.	.	PUNCT
cana-4293	199	1	ahmad	ahmad	PROPN
cana-4293	199	2	,	,	PUNCT
cana-4293	199	3	h.	h.	PROPN
cana-4293	199	4	m.	m.	PROPN
cana-4293	199	5	,	,	PUNCT
cana-4293	199	6	ghuffar	ghuffar	ADV
cana-4293	199	7	,	,	PUNCT
cana-4293	199	8	s.	s.	PROPN
cana-4293	199	9	,	,	PUNCT
cana-4293	199	10	&	&	CCONJ
cana-4293	199	11	khurshid	khurshid	PROPN
cana-4293	199	12	,	,	PUNCT
cana-4293	199	13	k.	k.	PROPN
cana-4293	199	14	(	(	PUNCT
cana-4293	199	15	2019	2019	NUM
cana-4293	199	16	,	,	PUNCT
cana-4293	199	17	january	january	PROPN
cana-4293	199	18	)	)	PUNCT
cana-4293	199	19	.	.	PUNCT
cana-4293	200	1	classification	classification	NOUN
cana-4293	200	2	of	of	ADP
cana-4293	200	3	breast	breast	NOUN
cana-4293	200	4	cancer	cancer	NOUN
cana-4293	200	5	histology	histology	NOUN
cana-4293	200	6	images	image	NOUN
cana-4293	200	7	using	use	VERB
cana-4293	200	8	transfer	transfer	NOUN
cana-4293	200	9	learning	learning	NOUN
cana-4293	200	10	.	.	PUNCT
cana-4293	201	1	in	in	ADP
cana-4293	201	2	2019	2019	NUM
cana-4293	201	3	16th	16th	ADJ
cana-4293	201	4	international	international	ADJ
cana-4293	201	5	bhurban	bhurban	ADJ
cana-4293	201	6	conference	conference	NOUN
cana-4293	201	7	on	on	ADP
cana-4293	201	8	applied	apply	VERB
cana-4293	201	9	sciences	science	NOUN
cana-4293	201	10	and	and	CCONJ
cana-4293	201	11	technology	technology	NOUN
cana-4293	201	12	(	(	PUNCT
cana-4293	201	13	ibcast	ibcast	NOUN
cana-4293	201	14	)	)	PUNCT
cana-4293	201	15	(	(	PUNCT
cana-4293	201	16	pp	pp	ADJ
cana-4293	201	17	.	.	PUNCT
cana-4293	202	1	328	328	NUM
cana-4293	202	2	-	-	SYM
cana-4293	202	3	332	332	NUM
cana-4293	202	4	)	)	PUNCT
cana-4293	202	5	.	.	PUNCT
cana-4293	203	1	ieee	ieee	NOUN
cana-4293	203	2	.	.	PUNCT
cana-4293	204	1	2	2	NUM
cana-4293	204	2	.	.	X
cana-4293	204	3	albashish	albashish	PROPN
cana-4293	204	4	,	,	PUNCT
cana-4293	204	5	d.	d.	PROPN
cana-4293	204	6	,	,	PUNCT
cana-4293	204	7	al	al	PROPN
cana-4293	204	8	-	-	PUNCT
cana-4293	204	9	sayyed	sayyed	PROPN
cana-4293	204	10	,	,	PUNCT
cana-4293	204	11	r.	r.	PROPN
cana-4293	204	12	,	,	PUNCT
cana-4293	204	13	abdullah	abdullah	PROPN
cana-4293	204	14	,	,	PUNCT
cana-4293	204	15	a.	a.	NOUN
cana-4293	204	16	,	,	PUNCT
cana-4293	204	17	ryalat	ryalat	NOUN
cana-4293	204	18	,	,	PUNCT
cana-4293	204	19	m.	m.	NOUN
cana-4293	204	20	h.	h.	PROPN
cana-4293	204	21	,	,	PUNCT
cana-4293	204	22	&	&	CCONJ
cana-4293	204	23	almansour	almansour	NOUN
cana-4293	204	24	,	,	PUNCT
cana-4293	204	25	n.	n.	NOUN
cana-4293	204	26	a.	a.	NOUN
cana-4293	204	27	(	(	PUNCT
cana-4293	204	28	2021	2021	NUM
cana-4293	204	29	,	,	PUNCT
cana-4293	204	30	july	july	PROPN
cana-4293	204	31	)	)	PUNCT
cana-4293	204	32	.	.	PUNCT
cana-4293	205	1	deep	deep	ADJ
cana-4293	205	2	cnn	cnn	PROPN
cana-4293	205	3	model	model	NOUN
cana-4293	205	4	based	base	VERB
cana-4293	205	5	on	on	ADP
cana-4293	205	6	vgg16	vgg16	PROPN
cana-4293	205	7	for	for	ADP
cana-4293	205	8	breast	breast	NOUN
cana-4293	205	9	cancer	cancer	NOUN
cana-4293	205	10	classification	classification	NOUN
cana-4293	205	11	.	.	PUNCT
cana-4293	206	1	in	in	ADP
cana-4293	206	2	2021	2021	NUM
cana-4293	206	3	international	international	ADJ
cana-4293	206	4	conference	conference	NOUN
cana-4293	206	5	on	on	ADP
cana-4293	206	6	information	information	NOUN
cana-4293	206	7	technology	technology	NOUN
cana-4293	206	8	(	(	PUNCT
cana-4293	206	9	icit	icit	PROPN
cana-4293	206	10	)	)	PUNCT
cana-4293	206	11	(	(	PUNCT
cana-4293	206	12	pp	pp	ADJ
cana-4293	206	13	.	.	PUNCT
cana-4293	207	1	805	805	NUM
cana-4293	207	2	-	-	SYM
cana-4293	207	3	810	810	NUM
cana-4293	207	4	)	)	PUNCT
cana-4293	207	5	.	.	PUNCT
cana-4293	208	1	ieee	ieee	PROPN
cana-4293	208	2	.	.	PUNCT
cana-4293	209	1	3	3	X
cana-4293	209	2	.	.	X
cana-4293	209	3	alhussan	alhussan	PROPN
cana-4293	209	4	,	,	PUNCT
cana-4293	209	5	a.	a.	NOUN
cana-4293	209	6	a.	a.	PROPN
cana-4293	209	7	,	,	PUNCT
cana-4293	209	8	abdelhamid	abdelhamid	PROPN
cana-4293	209	9	,	,	PUNCT
cana-4293	209	10	a.	a.	NOUN
cana-4293	209	11	a.	a.	PROPN
cana-4293	209	12	,	,	PUNCT
cana-4293	209	13	towfek	towfek	PROPN
cana-4293	209	14	,	,	PUNCT
cana-4293	209	15	s.	s.	PROPN
cana-4293	209	16	k.	k.	PROPN
cana-4293	209	17	,	,	PUNCT
cana-4293	209	18	ibrahim	ibrahim	PROPN
cana-4293	209	19	,	,	PUNCT
cana-4293	209	20	a.	a.	PROPN
cana-4293	209	21	,	,	PUNCT
cana-4293	209	22	abualigah	abualigah	PROPN
cana-4293	209	23	,	,	PUNCT
cana-4293	209	24	l.	l.	PROPN
cana-4293	209	25	,	,	PUNCT
cana-4293	209	26	khodadadi	khodadadi	PROPN
cana-4293	209	27	,	,	PUNCT
cana-4293	209	28	n.	n.	NOUN
cana-4293	209	29	,	,	PUNCT
cana-4293	209	30	&	&	CCONJ
cana-4293	209	31	ahmed	ahmed	PROPN
cana-4293	209	32	,	,	PUNCT
cana-4293	209	33	a.	a.	PROPN
cana-4293	209	34	e.	e.	PROPN
cana-4293	209	35	(	(	PUNCT
cana-4293	209	36	2023	2023	NUM
cana-4293	209	37	)	)	PUNCT
cana-4293	209	38	.	.	PUNCT
cana-4293	210	1	classification	classification	NOUN
cana-4293	210	2	of	of	ADP
cana-4293	210	3	breast	breast	NOUN
cana-4293	210	4	cancer	cancer	NOUN
cana-4293	210	5	using	use	VERB
cana-4293	210	6	transfer	transfer	NOUN
cana-4293	210	7	learning	learning	NOUN
cana-4293	210	8	and	and	CCONJ
cana-4293	210	9	advanced	advanced	ADJ
cana-4293	210	10	albiruni	albiruni	NOUN
cana-4293	210	11	earth	earth	NOUN
cana-4293	210	12	radius	radius	NOUN
cana-4293	210	13	optimization	optimization	NOUN
cana-4293	210	14	.	.	PUNCT
cana-4293	211	1	biomimetics	biomimetic	NOUN
cana-4293	211	2	,	,	PUNCT
cana-4293	211	3	8(3	8(3	NUM
cana-4293	211	4	)	)	PUNCT
cana-4293	211	5	,	,	PUNCT
cana-4293	211	6	270	270	NUM
cana-4293	211	7	.	.	NOUN
cana-4293	211	8	4	4	NUM
cana-4293	211	9	.	.	NOUN
cana-4293	211	10	aljuaid	aljuaid	PROPN
cana-4293	211	11	,	,	PUNCT
cana-4293	211	12	h.	h.	PROPN
cana-4293	211	13	,	,	PUNCT
cana-4293	211	14	alturki	alturki	PROPN
cana-4293	211	15	,	,	PUNCT
cana-4293	211	16	n.	n.	NOUN
cana-4293	211	17	,	,	PUNCT
cana-4293	211	18	alsubaie	alsubaie	PROPN
cana-4293	211	19	,	,	PUNCT
cana-4293	211	20	n.	n.	NOUN
cana-4293	211	21	,	,	PUNCT
cana-4293	211	22	cavallaro	cavallaro	PROPN
cana-4293	211	23	,	,	PUNCT
cana-4293	211	24	l.	l.	PROPN
cana-4293	211	25	,	,	PUNCT
cana-4293	211	26	&	&	CCONJ
cana-4293	211	27	liotta	liotta	PROPN
cana-4293	211	28	,	,	PUNCT
cana-4293	211	29	a.	a.	NOUN
cana-4293	211	30	(	(	PUNCT
cana-4293	211	31	2022	2022	NUM
cana-4293	211	32	)	)	PUNCT
cana-4293	211	33	.	.	PUNCT
cana-4293	212	1	computer	computer	NOUN
cana-4293	212	2	-	-	PUNCT
cana-4293	212	3	aided	aid	VERB
cana-4293	212	4	diagnosis	diagnosis	NOUN
cana-4293	212	5	for	for	ADP
cana-4293	212	6	breast	breast	NOUN
cana-4293	212	7	cancer	cancer	NOUN
cana-4293	212	8	classification	classification	NOUN
cana-4293	212	9	using	use	VERB
cana-4293	212	10	deep	deep	ADJ
cana-4293	212	11	neural	neural	ADJ
cana-4293	212	12	networks	network	NOUN
cana-4293	212	13	and	and	CCONJ
cana-4293	212	14	transfer	transfer	NOUN
cana-4293	212	15	learning	learning	NOUN
cana-4293	212	16	.	.	PUNCT
cana-4293	213	1	computer	computer	NOUN
cana-4293	213	2	methods	method	NOUN
cana-4293	213	3	and	and	CCONJ
cana-4293	213	4	programs	program	NOUN
cana-4293	213	5	in	in	ADP
cana-4293	213	6	biomedicine	biomedicine	NOUN
cana-4293	213	7	,	,	PUNCT
cana-4293	213	8	223	223	NUM
cana-4293	213	9	,	,	PUNCT
cana-4293	213	10	106951	106951	NUM
cana-4293	213	11	.	.	PUNCT
cana-4293	214	1	5	5	NUM
cana-4293	214	2	.	.	X
cana-4293	214	3	alzubaidi	alzubaidi	PROPN
cana-4293	214	4	,	,	PUNCT
cana-4293	214	5	l.	l.	PROPN
cana-4293	214	6	,	,	PUNCT
cana-4293	214	7	al	al	PROPN
cana-4293	214	8	-	-	PUNCT
cana-4293	214	9	shamma	shamma	PROPN
cana-4293	214	10	,	,	PUNCT
cana-4293	214	11	o.	o.	PROPN
cana-4293	214	12	,	,	PUNCT
cana-4293	214	13	fadhel	fadhel	PROPN
cana-4293	214	14	,	,	PUNCT
cana-4293	214	15	m.	m.	NOUN
cana-4293	214	16	a.	a.	PROPN
cana-4293	214	17	,	,	PUNCT
cana-4293	214	18	farhan	farhan	PROPN
cana-4293	214	19	,	,	PUNCT
cana-4293	214	20	l.	l.	PROPN
cana-4293	214	21	,	,	PUNCT
cana-4293	214	22	zhang	zhang	PROPN
cana-4293	214	23	,	,	PUNCT
cana-4293	214	24	j.	j.	PROPN
cana-4293	214	25	,	,	PUNCT
cana-4293	214	26	&	&	CCONJ
cana-4293	214	27	duan	duan	PROPN
cana-4293	214	28	,	,	PUNCT
cana-4293	214	29	y.	y.	PROPN
cana-4293	214	30	(	(	PUNCT
cana-4293	214	31	2020	2020	NUM
cana-4293	214	32	)	)	PUNCT
cana-4293	214	33	.	.	PUNCT
cana-4293	215	1	optimizing	optimize	VERB
cana-4293	215	2	the	the	DET
cana-4293	215	3	performance	performance	NOUN
cana-4293	215	4	of	of	ADP
cana-4293	215	5	breast	breast	NOUN
cana-4293	215	6	cancer	cancer	NOUN
cana-4293	215	7	classification	classification	NOUN
cana-4293	215	8	by	by	ADP
cana-4293	215	9	employing	employ	VERB
cana-4293	215	10	the	the	DET
cana-4293	215	11	same	same	ADJ
cana-4293	215	12	domain	domain	NOUN
cana-4293	215	13	transfer	transfer	NOUN
cana-4293	215	14	learning	learn	VERB
cana-4293	215	15	from	from	ADP
cana-4293	215	16	hybrid	hybrid	ADJ
cana-4293	215	17	deep	deep	ADJ
cana-4293	215	18	convolutional	convolutional	ADJ
cana-4293	215	19	neural	neural	ADJ
cana-4293	215	20	network	network	NOUN
cana-4293	215	21	model	model	NOUN
cana-4293	215	22	.	.	PUNCT
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cana-4293	216	2	,	,	PUNCT
cana-4293	216	3	9(3	9(3	NUM
cana-4293	216	4	)	)	PUNCT
cana-4293	216	5	,	,	PUNCT
cana-4293	216	6	445	445	NUM
cana-4293	216	7	.	.	PUNCT
cana-4293	217	1	6	6	NUM
cana-4293	217	2	.	.	X
cana-4293	217	3	azevedo	azevedo	PROPN
cana-4293	217	4	,	,	PUNCT
cana-4293	217	5	v.	v.	PROPN
cana-4293	217	6	,	,	PUNCT
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cana-4293	217	8	,	,	PUNCT
cana-4293	217	9	c.	c.	PROPN
cana-4293	217	10	,	,	PUNCT
cana-4293	217	11	&	&	CCONJ
cana-4293	217	12	dutra	dutra	PROPN
cana-4293	217	13	,	,	PUNCT
cana-4293	217	14	i.	i.	PROPN
cana-4293	217	15	(	(	PUNCT
cana-4293	217	16	2022	2022	NUM
cana-4293	217	17	)	)	PUNCT
cana-4293	217	18	.	.	PUNCT
cana-4293	218	1	quantum	quantum	NOUN
cana-4293	218	2	transfer	transfer	NOUN
cana-4293	218	3	learning	learning	NOUN
cana-4293	218	4	for	for	ADP
cana-4293	218	5	breast	breast	NOUN
cana-4293	218	6	cancer	cancer	NOUN
cana-4293	218	7	detection	detection	NOUN
cana-4293	218	8	.	.	PUNCT
cana-4293	219	1	quantum	quantum	ADJ
cana-4293	219	2	machine	machine	NOUN
cana-4293	219	3	intelligence	intelligence	NOUN
cana-4293	219	4	,	,	PUNCT
cana-4293	219	5	4(1	4(1	NOUN
cana-4293	219	6	)	)	PUNCT
cana-4293	219	7	,	,	PUNCT
cana-4293	219	8	5	5	NUM
cana-4293	219	9	.	.	SYM
cana-4293	219	10	7	7	NUM
cana-4293	219	11	.	.	X
cana-4293	219	12	chaudhury	chaudhury	PROPN
cana-4293	219	13	,	,	PUNCT
cana-4293	219	14	s.	s.	PROPN
cana-4293	219	15	,	,	PUNCT
cana-4293	219	16	sau	sau	PROPN
cana-4293	219	17	,	,	PUNCT
cana-4293	219	18	k.	k.	PROPN
cana-4293	219	19	,	,	PUNCT
cana-4293	219	20	khan	khan	PROPN
cana-4293	219	21	,	,	PUNCT
cana-4293	219	22	m.	m.	NOUN
cana-4293	219	23	a.	a.	PROPN
cana-4293	219	24	,	,	PUNCT
cana-4293	219	25	&	&	CCONJ
cana-4293	219	26	shabaz	shabaz	PROPN
cana-4293	219	27	,	,	PUNCT
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cana-4293	219	29	(	(	PUNCT
cana-4293	219	30	2023	2023	NUM
cana-4293	219	31	)	)	PUNCT
cana-4293	219	32	.	.	PUNCT
cana-4293	220	1	deep	deep	ADJ
cana-4293	220	2	transfer	transfer	NOUN
cana-4293	220	3	learning	learning	NOUN
cana-4293	220	4	for	for	ADP
cana-4293	220	5	idc	idc	PROPN
cana-4293	220	6	breast	breast	PROPN
cana-4293	220	7	cancer	cancer	NOUN
cana-4293	220	8	detection	detection	NOUN
cana-4293	220	9	using	use	VERB
cana-4293	220	10	fast	fast	ADJ
cana-4293	220	11	ai	ai	NOUN
cana-4293	220	12	technique	technique	NOUN
cana-4293	220	13	and	and	CCONJ
cana-4293	220	14	sqeezenet	sqeezenet	NOUN
cana-4293	220	15	architecture	architecture	NOUN
cana-4293	220	16	.	.	PUNCT
cana-4293	221	1	math	math	PROPN
cana-4293	221	2	bioscieng	bioscieng	PROPN
cana-4293	221	3	,	,	PUNCT
cana-4293	221	4	20(6	20(6	NOUN
cana-4293	221	5	)	)	PUNCT
cana-4293	221	6	,	,	PUNCT
cana-4293	221	7	10404	10404	NUM
cana-4293	221	8	-	-	SYM
cana-4293	221	9	10427	10427	NUM
cana-4293	221	10	.	.	PUNCT
cana-4293	222	1	8	8	NUM
cana-4293	222	2	.	.	X
cana-4293	222	3	de	de	X
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cana-4293	222	5	,	,	PUNCT
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cana-4293	222	7	,	,	PUNCT
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cana-4293	222	9	,	,	PUNCT
cana-4293	222	10	a.	a.	PROPN
cana-4293	222	11	d.	d.	PROPN
cana-4293	222	12	s.	s.	PROPN
cana-4293	222	13	,	,	PUNCT
cana-4293	222	14	oliveira	oliveira	PROPN
cana-4293	222	15	,	,	PUNCT
cana-4293	222	16	l.	l.	PROPN
cana-4293	222	17	e.	e.	PROPN
cana-4293	222	18	,	,	PUNCT
cana-4293	222	19	&	&	CCONJ
cana-4293	222	20	koerich	koerich	PROPN
cana-4293	222	21	,	,	PUNCT
cana-4293	222	22	a.	a.	PROPN
cana-4293	222	23	l.	l.	PROPN
cana-4293	222	24	(	(	PUNCT
cana-4293	222	25	2019	2019	NUM
cana-4293	222	26	,	,	PUNCT
cana-4293	222	27	july	july	PROPN
cana-4293	222	28	)	)	PUNCT
cana-4293	222	29	.	.	PUNCT
cana-4293	223	1	double	double	ADJ
cana-4293	223	2	transfer	transfer	NOUN
cana-4293	223	3	learning	learning	NOUN
cana-4293	223	4	for	for	ADP
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cana-4293	223	6	cancer	cancer	NOUN
cana-4293	223	7	histopathologic	histopathologic	NOUN
cana-4293	223	8	image	image	NOUN
cana-4293	223	9	classification	classification	NOUN
cana-4293	223	10	.	.	PUNCT
cana-4293	224	1	in	in	ADP
cana-4293	224	2	2019	2019	NUM
cana-4293	224	3	international	international	ADJ
cana-4293	224	4	joint	joint	ADJ
cana-4293	224	5	conference	conference	NOUN
cana-4293	224	6	on	on	ADP
cana-4293	224	7	neural	neural	ADJ
cana-4293	224	8	networks	network	NOUN
cana-4293	224	9	(	(	PUNCT
cana-4293	224	10	ijcnn	ijcnn	PROPN
cana-4293	224	11	)	)	PUNCT
cana-4293	224	12	(	(	PUNCT
cana-4293	224	13	pp	pp	X
cana-4293	224	14	.	.	PUNCT
cana-4293	225	1	1	1	NUM
cana-4293	225	2	-	-	SYM
cana-4293	225	3	8)	8)	NUM
cana-4293	225	4	.	.	PUNCT
cana-4293	225	5	ieee	ieee	NOUN
cana-4293	225	6	.	.	PUNCT
cana-4293	226	1	communications	communication	NOUN
cana-4293	226	2	on	on	ADP
cana-4293	226	3	applied	apply	VERB
cana-4293	226	4	nonlinear	nonlinear	ADJ
cana-4293	226	5	analysis	analysis	NOUN
cana-4293	226	6	issn	issn	NOUN
cana-4293	226	7	:	:	PUNCT
cana-4293	226	8	1074	1074	NUM
cana-4293	226	9	-	-	PUNCT
cana-4293	226	10	133x	133x	NUM
cana-4293	226	11	vol	vol	NOUN
cana-4293	226	12	32	32	NUM
cana-4293	226	13	no	no	NOUN
cana-4293	226	14	.	.	PUNCT
cana-4293	227	1	9s	9s	NUM
cana-4293	227	2	(	(	PUNCT
cana-4293	227	3	2025	2025	NUM
cana-4293	227	4	)	)	PUNCT
cana-4293	227	5	1754	1754	NUM
cana-4293	227	6	https://internationalpubls.co	https://internationalpubls.co	X
cana-4293	227	7	m	m	PROPN
cana-4293	227	8	9	9	NUM
cana-4293	227	9	.	.	PUNCT
cana-4293	228	1	dutta	dutta	PROPN
cana-4293	228	2	,	,	PUNCT
cana-4293	228	3	s.	s.	PROPN
cana-4293	228	4	,	,	PUNCT
cana-4293	228	5	mandal	mandal	PROPN
cana-4293	228	6	,	,	PUNCT
cana-4293	228	7	j.	j.	PROPN
cana-4293	228	8	k.	k.	PROPN
cana-4293	228	9	,	,	PUNCT
cana-4293	228	10	kim	kim	PROPN
cana-4293	228	11	,	,	PUNCT
cana-4293	228	12	t.	t.	PROPN
cana-4293	228	13	h.	h.	PROPN
cana-4293	228	14	,	,	PUNCT
cana-4293	228	15	&	&	CCONJ
cana-4293	228	16	bandyopadhyay	bandyopadhyay	PROPN
cana-4293	228	17	,	,	PUNCT
cana-4293	228	18	s.	s.	PROPN
cana-4293	228	19	k.	k.	PROPN
cana-4293	228	20	(	(	PUNCT
cana-4293	228	21	2020	2020	NUM
cana-4293	228	22	)	)	PUNCT
cana-4293	228	23	.	.	PUNCT
cana-4293	229	1	breast	breast	NOUN
cana-4293	229	2	cancer	cancer	NOUN
cana-4293	229	3	prediction	prediction	NOUN
cana-4293	229	4	using	use	VERB
cana-4293	229	5	stacked	stack	VERB
cana-4293	229	6	gru	gru	PROPN
cana-4293	229	7	-	-	ADJ
cana-4293	229	8	lstm	lstm	ADJ
cana-4293	229	9	-	-	PUNCT
cana-4293	229	10	brnn	brnn	NOUN
cana-4293	229	11	.	.	PUNCT
cana-4293	230	1	applied	apply	VERB
cana-4293	230	2	computer	computer	NOUN
cana-4293	230	3	systems	system	NOUN
cana-4293	230	4	,	,	PUNCT
cana-4293	230	5	25(2	25(2	NUM
cana-4293	230	6	)	)	PUNCT
cana-4293	230	7	,	,	PUNCT
cana-4293	230	8	163	163	NUM
cana-4293	230	9	-	-	SYM
cana-4293	230	10	171	171	NUM
cana-4293	230	11	.	.	PUNCT
cana-4293	231	1	10	10	NUM
cana-4293	231	2	.	.	PUNCT
cana-4293	232	1	ghosh	ghosh	PROPN
cana-4293	232	2	,	,	PUNCT
cana-4293	232	3	p.	p.	PROPN
cana-4293	232	4	,	,	PUNCT
cana-4293	232	5	azam	azam	PROPN
cana-4293	232	6	,	,	PUNCT
cana-4293	232	7	s.	s.	PROPN
cana-4293	232	8	,	,	PUNCT
cana-4293	232	9	hasib	hasib	PROPN
cana-4293	232	10	,	,	PUNCT
cana-4293	232	11	k.	k.	PROPN
cana-4293	232	12	m.	m.	PROPN
cana-4293	232	13	,	,	PUNCT
cana-4293	232	14	karim	karim	PROPN
cana-4293	232	15	,	,	PUNCT
cana-4293	232	16	a.	a.	NOUN
cana-4293	232	17	,	,	PUNCT
cana-4293	232	18	jonkman	jonkman	NOUN
cana-4293	232	19	,	,	PUNCT
cana-4293	232	20	m.	m.	NOUN
cana-4293	232	21	,	,	PUNCT
cana-4293	232	22	&	&	CCONJ
cana-4293	232	23	anwar	anwar	PROPN
cana-4293	232	24	,	,	PUNCT
cana-4293	232	25	a.	a.	NOUN
cana-4293	232	26	(	(	PUNCT
cana-4293	232	27	2021	2021	NUM
cana-4293	232	28	,	,	PUNCT
cana-4293	232	29	july	july	PROPN
cana-4293	232	30	)	)	PUNCT
cana-4293	232	31	.	.	PUNCT
cana-4293	233	1	a	a	DET
cana-4293	233	2	performance	performance	NOUN
cana-4293	233	3	based	base	VERB
cana-4293	233	4	study	study	NOUN
cana-4293	233	5	on	on	ADP
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cana-4293	233	16	.	.	PUNCT
cana-4293	234	1	in	in	ADP
cana-4293	234	2	2021	2021	NUM
cana-4293	234	3	international	international	ADJ
cana-4293	234	4	joint	joint	ADJ
cana-4293	234	5	conference	conference	NOUN
cana-4293	234	6	on	on	ADP
cana-4293	234	7	neural	neural	ADJ
cana-4293	234	8	networks	network	NOUN
cana-4293	234	9	(	(	PUNCT
cana-4293	234	10	ijcnn	ijcnn	PROPN
cana-4293	234	11	)	)	PUNCT
cana-4293	234	12	(	(	PUNCT
cana-4293	234	13	pp	pp	X
cana-4293	234	14	.	.	PUNCT
cana-4293	235	1	1	1	NUM
cana-4293	235	2	-	-	SYM
cana-4293	235	3	8)	8)	NUM
cana-4293	235	4	.	.	PUNCT
cana-4293	235	5	ieee	ieee	NOUN
cana-4293	235	6	.	.	PUNCT
cana-4293	236	1	11	11	NUM
cana-4293	236	2	.	.	X
cana-4293	237	1	guan	guan	PROPN
cana-4293	237	2	,	,	PUNCT
cana-4293	237	3	s.	s.	PROPN
cana-4293	237	4	,	,	PUNCT
cana-4293	237	5	&	&	CCONJ
cana-4293	237	6	loew	loew	PROPN
cana-4293	237	7	,	,	PUNCT
cana-4293	237	8	m.	m.	NOUN
cana-4293	237	9	(	(	PUNCT
cana-4293	237	10	2017	2017	NUM
cana-4293	237	11	,	,	PUNCT
cana-4293	237	12	october	october	PROPN
cana-4293	237	13	)	)	PUNCT
cana-4293	237	14	.	.	PUNCT
cana-4293	238	1	breast	breast	NOUN
cana-4293	238	2	cancer	cancer	NOUN
cana-4293	238	3	detection	detection	NOUN
cana-4293	238	4	using	use	VERB
cana-4293	238	5	transfer	transfer	NOUN
cana-4293	238	6	learning	learning	NOUN
cana-4293	238	7	in	in	ADP
cana-4293	238	8	convolutional	convolutional	ADJ
cana-4293	238	9	neural	neural	ADJ
cana-4293	238	10	networks	network	NOUN
cana-4293	238	11	.	.	PUNCT
cana-4293	239	1	in	in	ADP
cana-4293	239	2	2017	2017	NUM
cana-4293	239	3	ieee	ieee	NOUN
cana-4293	239	4	applied	apply	VERB
cana-4293	239	5	imagery	imagery	NOUN
cana-4293	239	6	pattern	pattern	NOUN
cana-4293	239	7	recognition	recognition	NOUN
cana-4293	239	8	workshop	workshop	NOUN
cana-4293	239	9	(	(	PUNCT
cana-4293	239	10	aipr	aipr	PROPN
cana-4293	239	11	)	)	PUNCT
cana-4293	239	12	(	(	PUNCT
cana-4293	239	13	pp	pp	X
cana-4293	239	14	.	.	PUNCT
cana-4293	239	15	1	1	NUM
cana-4293	239	16	-	-	SYM
cana-4293	239	17	8)	8)	NUM
cana-4293	239	18	.	.	PUNCT
cana-4293	239	19	ieee	ieee	NOUN
cana-4293	239	20	.	.	PUNCT
cana-4293	240	1	12	12	NUM
cana-4293	240	2	.	.	PUNCT
cana-4293	241	1	kassani	kassani	PROPN
cana-4293	241	2	,	,	PUNCT
cana-4293	241	3	s.	s.	PROPN
cana-4293	241	4	h.	h.	PROPN
cana-4293	241	5	,	,	PUNCT
cana-4293	241	6	kassani	kassani	PROPN
cana-4293	241	7	,	,	PUNCT
cana-4293	241	8	p.	p.	PROPN
cana-4293	241	9	h.	h.	PROPN
cana-4293	241	10	,	,	PUNCT
cana-4293	241	11	wesolowski	wesolowski	PROPN
cana-4293	241	12	,	,	PUNCT
cana-4293	241	13	m.	m.	NOUN
cana-4293	241	14	j.	j.	PROPN
cana-4293	241	15	,	,	PUNCT
cana-4293	241	16	schneider	schneider	PROPN
cana-4293	241	17	,	,	PUNCT
cana-4293	241	18	k.	k.	PROPN
cana-4293	241	19	a.	a.	PROPN
cana-4293	241	20	,	,	PUNCT
cana-4293	241	21	&	&	CCONJ
cana-4293	241	22	deters	deter	NOUN
cana-4293	241	23	,	,	PUNCT
cana-4293	241	24	r.	r.	PROPN
cana-4293	241	25	(	(	PUNCT
cana-4293	241	26	2019	2019	NUM
cana-4293	241	27	,	,	PUNCT
cana-4293	241	28	october	october	PROPN
cana-4293	241	29	)	)	PUNCT
cana-4293	241	30	.	.	PUNCT
cana-4293	242	1	breast	breast	NOUN
cana-4293	242	2	cancer	cancer	NOUN
cana-4293	242	3	diagnosis	diagnosis	NOUN
cana-4293	242	4	with	with	ADP
cana-4293	242	5	transfer	transfer	NOUN
cana-4293	242	6	learning	learning	NOUN
cana-4293	242	7	and	and	CCONJ
cana-4293	242	8	global	global	ADJ
cana-4293	242	9	pooling	pooling	NOUN
cana-4293	242	10	.	.	PUNCT
cana-4293	243	1	in	in	ADP
cana-4293	243	2	2019	2019	NUM
cana-4293	243	3	international	international	ADJ
cana-4293	243	4	conference	conference	NOUN
cana-4293	243	5	on	on	ADP
cana-4293	243	6	information	information	NOUN
cana-4293	243	7	and	and	CCONJ
cana-4293	243	8	communication	communication	NOUN
cana-4293	243	9	technology	technology	NOUN
cana-4293	243	10	convergence	convergence	NOUN
cana-4293	243	11	(	(	PUNCT
cana-4293	243	12	ictc	ictc	NOUN
cana-4293	243	13	)	)	PUNCT
cana-4293	243	14	(	(	PUNCT
cana-4293	243	15	pp	pp	X
cana-4293	243	16	.	.	PUNCT
cana-4293	244	1	519	519	NUM
cana-4293	244	2	-	-	NUM
cana-4293	244	3	524	524	NUM
cana-4293	244	4	)	)	PUNCT
cana-4293	244	5	.	.	PUNCT
cana-4293	245	1	ieee	ieee	PROPN
cana-4293	245	2	.	.	PUNCT
cana-4293	246	1	13	13	NUM
cana-4293	246	2	.	.	PUNCT
cana-4293	247	1	khan	khan	PROPN
cana-4293	247	2	,	,	PUNCT
cana-4293	247	3	s.	s.	PROPN
cana-4293	247	4	,	,	PUNCT
cana-4293	247	5	islam	islam	PROPN
cana-4293	247	6	,	,	PUNCT
cana-4293	247	7	n.	n.	PROPN
cana-4293	247	8	,	,	PUNCT
cana-4293	247	9	jan	jan	PROPN
cana-4293	247	10	,	,	PUNCT
cana-4293	247	11	z.	z.	PROPN
cana-4293	247	12	,	,	PUNCT
cana-4293	247	13	din	din	PROPN
cana-4293	247	14	,	,	PUNCT
cana-4293	247	15	i.	i.	PROPN
cana-4293	247	16	u.	u.	PROPN
cana-4293	247	17	,	,	PUNCT
cana-4293	247	18	&	&	CCONJ
cana-4293	247	19	rodrigues	rodrigues	PROPN
cana-4293	247	20	,	,	PUNCT
cana-4293	247	21	j.	j.	PROPN
cana-4293	247	22	j.	j.	PROPN
cana-4293	247	23	c.	c.	PROPN
cana-4293	247	24	(	(	PUNCT
cana-4293	247	25	2019	2019	NUM
cana-4293	247	26	)	)	PUNCT
cana-4293	247	27	.	.	PUNCT
cana-4293	248	1	a	a	DET
cana-4293	248	2	novel	novel	ADJ
cana-4293	248	3	deep	deep	ADJ
cana-4293	248	4	learning	learning	NOUN
cana-4293	248	5	based	base	VERB
cana-4293	248	6	framework	framework	NOUN
cana-4293	248	7	for	for	ADP
cana-4293	248	8	the	the	DET
cana-4293	248	9	detection	detection	NOUN
cana-4293	248	10	and	and	CCONJ
cana-4293	248	11	classification	classification	NOUN
cana-4293	248	12	of	of	ADP
cana-4293	248	13	breast	breast	NOUN
cana-4293	248	14	cancer	cancer	NOUN
cana-4293	248	15	using	use	VERB
cana-4293	248	16	transfer	transfer	NOUN
cana-4293	248	17	learning	learning	NOUN
cana-4293	248	18	.	.	PUNCT
cana-4293	249	1	pattern	pattern	NOUN
cana-4293	249	2	recognition	recognition	NOUN
cana-4293	249	3	letters	letter	NOUN
cana-4293	249	4	,	,	PUNCT
cana-4293	249	5	125	125	NUM
cana-4293	249	6	,	,	PUNCT
cana-4293	249	7	1	1	NUM
cana-4293	249	8	-	-	SYM
cana-4293	249	9	6	6	NUM
cana-4293	249	10	.	.	NOUN
cana-4293	249	11	14	14	NUM
cana-4293	249	12	.	.	PUNCT
cana-4293	250	1	mohapatra	mohapatra	PROPN
cana-4293	250	2	,	,	PUNCT
cana-4293	250	3	s.	s.	PROPN
cana-4293	250	4	,	,	PUNCT
cana-4293	250	5	muduly	muduly	ADV
cana-4293	250	6	,	,	PUNCT
cana-4293	250	7	s.	s.	PROPN
cana-4293	250	8	,	,	PUNCT
cana-4293	250	9	mohanty	mohanty	PROPN
cana-4293	250	10	,	,	PUNCT
cana-4293	250	11	s.	s.	PROPN
cana-4293	250	12	,	,	PUNCT
cana-4293	250	13	ravindra	ravindra	PROPN
cana-4293	250	14	,	,	PUNCT
cana-4293	250	15	j.	j.	PROPN
cana-4293	250	16	v.	v.	PROPN
cana-4293	250	17	r.	r.	PROPN
cana-4293	250	18	,	,	PUNCT
cana-4293	250	19	&	&	CCONJ
cana-4293	250	20	mohanty	mohanty	PROPN
cana-4293	250	21	,	,	PUNCT
cana-4293	250	22	s.	s.	PROPN
cana-4293	250	23	n.	n.	PROPN
cana-4293	250	24	(	(	PUNCT
cana-4293	250	25	2022	2022	NUM
cana-4293	250	26	)	)	PUNCT
cana-4293	250	27	.	.	PUNCT
cana-4293	251	1	evaluation	evaluation	NOUN
cana-4293	251	2	of	of	ADP
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cana-4293	251	4	learning	learning	NOUN
cana-4293	251	5	models	model	NOUN
cana-4293	251	6	for	for	ADP
cana-4293	251	7	detecting	detect	VERB
cana-4293	251	8	breast	breast	NOUN
cana-4293	251	9	cancer	cancer	NOUN
cana-4293	251	10	using	use	VERB
cana-4293	251	11	histopathological	histopathological	ADJ
cana-4293	251	12	mammograms	mammogram	NOUN
cana-4293	251	13	images	image	NOUN
cana-4293	251	14	.	.	PUNCT
cana-4293	252	1	sustainable	sustainable	ADJ
cana-4293	252	2	operations	operation	NOUN
cana-4293	252	3	and	and	CCONJ
cana-4293	252	4	computers	computer	NOUN
cana-4293	252	5	,	,	PUNCT
cana-4293	252	6	3	3	NUM
cana-4293	252	7	,	,	PUNCT
cana-4293	252	8	296	296	NUM
cana-4293	252	9	-	-	SYM
cana-4293	252	10	302	302	NUM
cana-4293	252	11	.	.	NOUN
cana-4293	252	12	15	15	NUM
cana-4293	252	13	.	.	PUNCT
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cana-4293	252	15	,	,	PUNCT
cana-4293	252	16	s.	s.	PROPN
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cana-4293	252	19	,	,	PUNCT
cana-4293	252	20	s.	s.	PROPN
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cana-4293	252	22	,	,	PUNCT
cana-4293	252	23	&	&	CCONJ
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cana-4293	252	25	,	,	PUNCT
cana-4293	252	26	s.	s.	PROPN
cana-4293	252	27	(	(	PUNCT
cana-4293	252	28	2022	2022	NUM
cana-4293	252	29	)	)	PUNCT
cana-4293	252	30	.	.	PUNCT
cana-4293	253	1	a	a	DET
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cana-4293	253	4	learning	learning	NOUN
cana-4293	253	5	technique	technique	NOUN
cana-4293	253	6	for	for	ADP
cana-4293	253	7	detecting	detect	VERB
cana-4293	253	8	breast	breast	NOUN
cana-4293	253	9	cancer	cancer	NOUN
cana-4293	253	10	mammograms	mammogram	NOUN
cana-4293	253	11	using	use	VERB
cana-4293	253	12	vgg16	vgg16	NOUN
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cana-4293	253	14	feature	feature	NOUN
cana-4293	253	15	.	.	PUNCT
cana-4293	254	1	ecs	ec	NOUN
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cana-4293	254	3	,	,	PUNCT
cana-4293	254	4	107(1	107(1	NUM
cana-4293	254	5	)	)	PUNCT
cana-4293	254	6	,	,	PUNCT
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cana-4293	254	8	.	.	X
cana-4293	255	1	16	16	NUM
cana-4293	255	2	.	.	PUNCT
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cana-4293	255	8	,	,	PUNCT
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cana-4293	255	10	,	,	PUNCT
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cana-4293	255	12	-	-	PUNCT
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cana-4293	255	14	,	,	PUNCT
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cana-4293	255	20	a.	a.	PROPN
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cana-4293	255	22	&	&	CCONJ
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cana-4293	255	27	2021	2021	NUM
cana-4293	255	28	)	)	PUNCT
cana-4293	255	29	.	.	PUNCT
cana-4293	256	1	a	a	DET
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cana-4293	256	18	-	-	PUNCT
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cana-4293	256	21	.	.	PUNCT
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cana-4293	257	7	-	-	SYM
cana-4293	257	8	71209	71209	NUM
cana-4293	257	9	.	.	PUNCT
cana-4293	258	1	17	17	NUM
cana-4293	258	2	.	.	X
cana-4293	259	1	tan	tan	PROPN
cana-4293	259	2	,	,	PUNCT
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cana-4293	260	2	,	,	PUNCT
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cana-4293	260	4	,	,	PUNCT
cana-4293	260	5	p.	p.	PROPN
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cana-4293	260	13	&	&	CCONJ
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cana-4293	260	18	(	(	PUNCT
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cana-4293	260	20	)	)	PUNCT
cana-4293	260	21	.	.	PUNCT
cana-4293	261	1	a	a	DET
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cana-4293	261	8	classification	classification	NOUN
cana-4293	261	9	in	in	ADP
cana-4293	261	10	a	a	DET
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cana-4293	261	13	framework	framework	NOUN
cana-4293	261	14	.	.	PUNCT
cana-4293	262	1	ieee	ieee	NOUN
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cana-4293	262	3	,	,	PUNCT
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cana-4293	262	5	,	,	PUNCT
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cana-4293	262	7	-	-	SYM
cana-4293	262	8	27476	27476	NUM
cana-4293	262	9	.	.	PUNCT
cana-4293	263	1	18	18	NUM
cana-4293	263	2	.	.	X
cana-4293	263	3	vesal	vesal	PROPN
cana-4293	263	4	,	,	PUNCT
cana-4293	263	5	s.	s.	PROPN
cana-4293	263	6	,	,	PUNCT
cana-4293	263	7	ravikumar	ravikumar	PROPN
cana-4293	263	8	,	,	PUNCT
cana-4293	263	9	n.	n.	NOUN
cana-4293	263	10	,	,	PUNCT
cana-4293	263	11	davari	davari	PROPN
cana-4293	263	12	,	,	PUNCT
cana-4293	263	13	a.	a.	NOUN
cana-4293	263	14	,	,	PUNCT
cana-4293	263	15	ellmann	ellmann	PROPN
cana-4293	263	16	,	,	PUNCT
cana-4293	263	17	s.	s.	PROPN
cana-4293	263	18	,	,	PUNCT
cana-4293	263	19	&	&	CCONJ
cana-4293	263	20	maier	maier	PROPN
cana-4293	263	21	,	,	PUNCT
cana-4293	263	22	a.	a.	NOUN
cana-4293	263	23	(	(	PUNCT
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cana-4293	263	25	)	)	PUNCT
cana-4293	263	26	.	.	PUNCT
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cana-4293	264	6	images	image	NOUN
cana-4293	264	7	using	use	VERB
cana-4293	264	8	transfer	transfer	NOUN
cana-4293	264	9	learning	learning	NOUN
cana-4293	264	10	.	.	PUNCT
cana-4293	265	1	in	in	ADP
cana-4293	265	2	image	image	NOUN
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cana-4293	265	6	:	:	PUNCT
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cana-4293	265	10	,	,	PUNCT
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cana-4293	265	12	2018	2018	NUM
cana-4293	265	13	,	,	PUNCT
cana-4293	265	14	póvoa	póvoa	X
cana-4293	265	15	de	de	ADP
cana-4293	265	16	varzim	varzim	PROPN
cana-4293	265	17	,	,	PUNCT
cana-4293	265	18	portugal	portugal	PROPN
cana-4293	265	19	,	,	PUNCT
cana-4293	265	20	june	june	PROPN
cana-4293	265	21	27–29	27–29	NUM
cana-4293	265	22	,	,	PUNCT
cana-4293	265	23	2018	2018	NUM
cana-4293	265	24	,	,	PUNCT
cana-4293	265	25	proceedings	proceeding	NOUN
cana-4293	265	26	15	15	NUM
cana-4293	265	27	(	(	PUNCT
cana-4293	265	28	pp	pp	ADJ
cana-4293	265	29	.	.	PUNCT
cana-4293	265	30	812	812	NUM
cana-4293	265	31	-	-	PUNCT
cana-4293	265	32	819	819	NUM
cana-4293	265	33	)	)	PUNCT
cana-4293	265	34	.	.	PUNCT
cana-4293	266	1	springer	springer	NOUN
cana-4293	266	2	international	international	ADJ
cana-4293	266	3	publishing	publishing	NOUN
cana-4293	266	4	.	.	PUNCT
cana-4293	267	1	19	19	NUM
cana-4293	267	2	.	.	X
cana-4293	267	3	wang	wang	PROPN
cana-4293	267	4	,	,	PUNCT
cana-4293	267	5	x.	x.	PROPN
cana-4293	267	6	,	,	PUNCT
cana-4293	267	7	ahmad	ahmad	PROPN
cana-4293	267	8	,	,	PUNCT
cana-4293	267	9	i.	i.	PROPN
cana-4293	267	10	,	,	PUNCT
cana-4293	267	11	javeed	javeed	NOUN
cana-4293	267	12	,	,	PUNCT
cana-4293	267	13	d.	d.	PROPN
cana-4293	267	14	,	,	PUNCT
cana-4293	267	15	zaidi	zaidi	PROPN
cana-4293	267	16	,	,	PUNCT
cana-4293	267	17	s.	s.	PROPN
cana-4293	267	18	a.	a.	PROPN
cana-4293	267	19	,	,	PUNCT
cana-4293	267	20	alotaibi	alotaibi	PROPN
cana-4293	267	21	,	,	PUNCT
cana-4293	267	22	f.	f.	PROPN
cana-4293	267	23	m.	m.	PROPN
cana-4293	267	24	,	,	PUNCT
cana-4293	267	25	ghoneim	ghoneim	PROPN
cana-4293	267	26	,	,	PUNCT
cana-4293	267	27	m.	m.	PROPN
cana-4293	267	28	e.	e.	PROPN
cana-4293	267	29	,	,	PUNCT
cana-4293	267	30	...	...	PUNCT
cana-4293	267	31	&	&	CCONJ
cana-4293	267	32	eldin	eldin	PROPN
cana-4293	267	33	,	,	PUNCT
cana-4293	267	34	e.	e.	PROPN
cana-4293	267	35	t.	t.	PROPN
cana-4293	267	36	(	(	PUNCT
cana-4293	267	37	2022	2022	NUM
cana-4293	267	38	)	)	PUNCT
cana-4293	267	39	.	.	PUNCT
cana-4293	268	1	intelligent	intelligent	ADJ
cana-4293	268	2	hybrid	hybrid	ADJ
cana-4293	268	3	deep	deep	ADJ
cana-4293	268	4	learning	learning	NOUN
cana-4293	268	5	model	model	NOUN
cana-4293	268	6	for	for	ADP
cana-4293	268	7	breast	breast	NOUN
cana-4293	268	8	cancer	cancer	NOUN
cana-4293	268	9	detection	detection	NOUN
cana-4293	268	10	.	.	PUNCT
cana-4293	269	1	electronics	electronic	NOUN
cana-4293	269	2	,	,	PUNCT
cana-4293	269	3	11(17	11(17	NUM
cana-4293	269	4	)	)	PUNCT
cana-4293	269	5	,	,	PUNCT
cana-4293	269	6	2767	2767	NUM
cana-4293	269	7	.	.	PUNCT
cana-4293	270	1	20	20	NUM
cana-4293	270	2	.	.	X
cana-4293	270	3	yao	yao	PROPN
cana-4293	270	4	,	,	PUNCT
cana-4293	270	5	h.	h.	PROPN
cana-4293	270	6	,	,	PUNCT
cana-4293	270	7	zhang	zhang	PROPN
cana-4293	270	8	,	,	PUNCT
cana-4293	270	9	x.	x.	PROPN
cana-4293	270	10	,	,	PUNCT
cana-4293	270	11	zhou	zhou	PROPN
cana-4293	270	12	,	,	PUNCT
cana-4293	270	13	x.	x.	PROPN
cana-4293	270	14	,	,	PUNCT
cana-4293	270	15	&	&	CCONJ
cana-4293	270	16	liu	liu	PROPN
cana-4293	270	17	,	,	PUNCT
cana-4293	270	18	s.	s.	PROPN
cana-4293	270	19	(	(	PUNCT
cana-4293	270	20	2019	2019	NUM
cana-4293	270	21	)	)	PUNCT
cana-4293	270	22	.	.	PUNCT
cana-4293	271	1	parallel	parallel	ADJ
cana-4293	271	2	structure	structure	NOUN
cana-4293	271	3	deep	deep	ADJ
cana-4293	271	4	neural	neural	ADJ
cana-4293	271	5	network	network	NOUN
cana-4293	271	6	using	use	VERB
cana-4293	271	7	cnn	cnn	PROPN
cana-4293	271	8	and	and	CCONJ
cana-4293	271	9	rnn	rnn	VERB
cana-4293	271	10	with	with	ADP
cana-4293	271	11	an	an	DET
cana-4293	271	12	attention	attention	NOUN
cana-4293	271	13	mechanism	mechanism	NOUN
cana-4293	271	14	for	for	ADP
cana-4293	271	15	breast	breast	NOUN
cana-4293	271	16	cancer	cancer	NOUN
cana-4293	271	17	histology	histology	NOUN
cana-4293	271	18	image	image	NOUN
cana-4293	271	19	classification	classification	NOUN
cana-4293	271	20	.	.	PUNCT
cana-4293	272	1	cancers	cancer	NOUN
cana-4293	272	2	,	,	PUNCT
cana-4293	272	3	11(12	11(12	NUM
cana-4293	272	4	)	)	PUNCT
cana-4293	272	5	,	,	PUNCT
cana-4293	272	6	1901	1901	NUM
cana-4293	272	7	.	.	PUNCT