id	sid	tid	token	lemma	pos
cana-6006	1	1	communications	communication	NOUN
cana-6006	1	2	on	on	ADP
cana-6006	1	3	applied	apply	VERB
cana-6006	1	4	nonlinear	nonlinear	ADJ
cana-6006	1	5	analysis	analysis	NOUN
cana-6006	1	6	issn	issn	NOUN
cana-6006	1	7	:	:	PUNCT
cana-6006	1	8	1074	1074	NUM
cana-6006	1	9	-	-	PUNCT
cana-6006	1	10	133x	133x	NUM
cana-6006	1	11	vol	vol	VERB
cana-6006	1	12	32	32	NUM
cana-6006	1	13	no	no	NOUN
cana-6006	1	14	.	.	PUNCT
cana-6006	2	1	10s	10	NOUN
cana-6006	2	2	(	(	PUNCT
cana-6006	2	3	2025	2025	NUM
cana-6006	2	4	)	)	PUNCT
cana-6006	2	5	3201	3201	NUM
cana-6006	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6006	2	7	prediction	prediction	NOUN
cana-6006	2	8	of	of	ADP
cana-6006	2	9	brain	brain	NOUN
cana-6006	2	10	hemorrhage	hemorrhage	NOUN
cana-6006	2	11	using	use	VERB
cana-6006	2	12	deep	deep	ADJ
cana-6006	2	13	learning	learning	NOUN
cana-6006	2	14	techniques	technique	NOUN
cana-6006	2	15	sharayu	sharayu	NOUN
cana-6006	2	16	phatangare1	phatangare1	PROPN
cana-6006	2	17	¹pg	¹pg	ADJ
cana-6006	2	18	student	student	NOUN
cana-6006	2	19	,	,	PUNCT
cana-6006	2	20	school	school	NOUN
cana-6006	2	21	of	of	ADP
cana-6006	2	22	computational	computational	ADJ
cana-6006	2	23	sciences	science	NOUN
cana-6006	2	24	,	,	PUNCT
cana-6006	2	25	faculty	faculty	NOUN
cana-6006	2	26	of	of	ADP
cana-6006	2	27	science	science	NOUN
cana-6006	2	28	and	and	CCONJ
cana-6006	2	29	technology	technology	NOUN
cana-6006	2	30	,	,	PUNCT
cana-6006	2	31	jspm	jspm	PROPN
cana-6006	2	32	university	university	PROPN
cana-6006	2	33	pune	pune	NOUN
cana-6006	2	34	,	,	PUNCT
cana-6006	2	35	pune	pune	PROPN
cana-6006	2	36	,	,	PUNCT
cana-6006	2	37	maharashtra	maharashtra	PROPN
cana-6006	2	38	,	,	PUNCT
cana-6006	2	39	india	india	PROPN
cana-6006	2	40	rahul	rahul	PROPN
cana-6006	2	41	chakre²	chakre²	PROPN
cana-6006	2	42	2sr	2sr	PROPN
cana-6006	2	43	.	.	PUNCT
cana-6006	3	1	assistant	assistant	PROPN
cana-6006	3	2	professor	professor	NOUN
cana-6006	3	3	,	,	PUNCT
cana-6006	3	4	school	school	NOUN
cana-6006	3	5	of	of	ADP
cana-6006	3	6	computational	computational	ADJ
cana-6006	3	7	sciences	science	NOUN
cana-6006	3	8	,	,	PUNCT
cana-6006	3	9	faculty	faculty	NOUN
cana-6006	3	10	of	of	ADP
cana-6006	3	11	science	science	NOUN
cana-6006	3	12	and	and	CCONJ
cana-6006	3	13	technology	technology	NOUN
cana-6006	3	14	,	,	PUNCT
cana-6006	3	15	jspm	jspm	PROPN
cana-6006	3	16	university	university	PROPN
cana-6006	3	17	pune	pune	NOUN
cana-6006	3	18	,	,	PUNCT
cana-6006	3	19	pune	pune	PROPN
cana-6006	3	20	,	,	PUNCT
cana-6006	3	21	maharashtra	maharashtra	PROPN
cana-6006	3	22	,	,	PUNCT
cana-6006	3	23	india	india	PROPN
cana-6006	3	24	article	article	PROPN
cana-6006	3	25	history	history	NOUN
cana-6006	3	26	:	:	PUNCT
cana-6006	3	27	received	receive	VERB
cana-6006	3	28	:	:	PUNCT
cana-6006	3	29	04/04/2025	04/04/2025	NUM
cana-6006	3	30	revised	revise	VERB
cana-6006	3	31	:	:	PUNCT
cana-6006	3	32	06/05/2025	06/05/2025	NUM
cana-6006	3	33	accepted	accept	VERB
cana-6006	3	34	:	:	PUNCT
cana-6006	3	35	11/06/2025	11/06/2025	NUM
cana-6006	3	36	abstract	abstract	NOUN
cana-6006	3	37	:	:	PUNCT
cana-6006	3	38	brain	brain	NOUN
cana-6006	3	39	hemorrhage	hemorrhage	NOUN
cana-6006	3	40	is	be	AUX
cana-6006	3	41	a	a	DET
cana-6006	3	42	severe	severe	ADJ
cana-6006	3	43	and	and	CCONJ
cana-6006	3	44	life	life	NOUN
cana-6006	3	45	-	-	PUNCT
cana-6006	3	46	threatening	threaten	VERB
cana-6006	3	47	condition	condition	NOUN
cana-6006	3	48	where	where	SCONJ
cana-6006	3	49	timely	timely	ADJ
cana-6006	3	50	and	and	CCONJ
cana-6006	3	51	correct	correct	ADJ
cana-6006	3	52	diagnosis	diagnosis	NOUN
cana-6006	3	53	can	can	AUX
cana-6006	3	54	make	make	VERB
cana-6006	3	55	the	the	DET
cana-6006	3	56	cleary	cleary	ADJ
cana-6006	3	57	difference	difference	NOUN
cana-6006	3	58	between	between	ADP
cana-6006	3	59	survival	survival	NOUN
cana-6006	3	60	damage	damage	NOUN
cana-6006	3	61	and	and	CCONJ
cana-6006	3	62	permanent	permanent	ADJ
cana-6006	3	63	damage	damage	NOUN
cana-6006	3	64	.	.	PUNCT
cana-6006	4	1	conventional	conventional	ADJ
cana-6006	4	2	diagnostic	diagnostic	ADJ
cana-6006	4	3	methods	method	NOUN
cana-6006	4	4	,	,	PUNCT
cana-6006	4	5	such	such	ADJ
cana-6006	4	6	as	as	ADP
cana-6006	4	7	mri	mri	NOUN
cana-6006	4	8	and	and	CCONJ
cana-6006	4	9	ct	ct	PROPN
cana-6006	4	10	scans	scan	NOUN
cana-6006	4	11	evaluated	evaluate	VERB
cana-6006	4	12	by	by	ADP
cana-6006	4	13	radiologists	radiologist	NOUN
cana-6006	4	14	,	,	PUNCT
cana-6006	4	15	are	be	AUX
cana-6006	4	16	often	often	ADV
cana-6006	4	17	limited	limit	VERB
cana-6006	4	18	by	by	ADP
cana-6006	4	19	delays	delay	NOUN
cana-6006	4	20	in	in	ADP
cana-6006	4	21	interpretation	interpretation	NOUN
cana-6006	4	22	and	and	CCONJ
cana-6006	4	23	inconsistencies	inconsistency	NOUN
cana-6006	4	24	between	between	ADP
cana-6006	4	25	observers	observer	NOUN
cana-6006	4	26	.	.	PUNCT
cana-6006	5	1	to	to	PART
cana-6006	5	2	overcome	overcome	VERB
cana-6006	5	3	these	these	DET
cana-6006	5	4	challenges	challenge	NOUN
cana-6006	5	5	,	,	PUNCT
cana-6006	5	6	this	this	DET
cana-6006	5	7	study	study	NOUN
cana-6006	5	8	introduces	introduce	VERB
cana-6006	5	9	an	an	DET
cana-6006	5	10	automated	automate	VERB
cana-6006	5	11	deep	deep	ADJ
cana-6006	5	12	learning	learning	NOUN
cana-6006	5	13	framework	framework	NOUN
cana-6006	5	14	capable	capable	ADJ
cana-6006	5	15	of	of	ADP
cana-6006	5	16	detecting	detect	VERB
cana-6006	5	17	and	and	CCONJ
cana-6006	5	18	classifying	classify	VERB
cana-6006	5	19	different	different	ADJ
cana-6006	5	20	subtypes	subtype	NOUN
cana-6006	5	21	of	of	ADP
cana-6006	5	22	brain	brain	NOUN
cana-6006	5	23	hemorrhage	hemorrhage	NOUN
cana-6006	5	24	directly	directly	ADV
cana-6006	5	25	from	from	ADP
cana-6006	5	26	mri	mri	NOUN
cana-6006	5	27	images	image	NOUN
cana-6006	5	28	.	.	PUNCT
cana-6006	6	1	the	the	DET
cana-6006	6	2	proposed	propose	VERB
cana-6006	6	3	approach	approach	NOUN
cana-6006	6	4	integrates	integrate	VERB
cana-6006	6	5	a	a	DET
cana-6006	6	6	modified	modified	ADJ
cana-6006	6	7	resnet-50	resnet-50	PROPN
cana-6006	6	8	network	network	NOUN
cana-6006	6	9	,	,	PUNCT
cana-6006	6	10	enhanced	enhance	VERB
cana-6006	6	11	with	with	ADP
cana-6006	6	12	squeeze	squeeze	NOUN
cana-6006	6	13	-	-	PUNCT
cana-6006	6	14	and	and	CCONJ
cana-6006	6	15	-	-	PUNCT
cana-6006	6	16	excitation	excitation	NOUN
cana-6006	6	17	(	(	PUNCT
cana-6006	6	18	se	se	X
cana-6006	6	19	)	)	PUNCT
cana-6006	6	20	blocks	block	NOUN
cana-6006	6	21	for	for	ADP
cana-6006	6	22	better	well	ADJ
cana-6006	6	23	feature	feature	NOUN
cana-6006	6	24	selection	selection	NOUN
cana-6006	6	25	,	,	PUNCT
cana-6006	6	26	along	along	ADP
cana-6006	6	27	with	with	ADP
cana-6006	6	28	a	a	DET
cana-6006	6	29	u	u	NOUN
cana-6006	6	30	-	-	NOUN
cana-6006	6	31	net	net	ADJ
cana-6006	6	32	–	–	PUNCT
cana-6006	6	33	based	base	VERB
cana-6006	6	34	segmentation	segmentation	NOUN
cana-6006	6	35	module	module	NOUN
cana-6006	6	36	to	to	PART
cana-6006	6	37	accurately	accurately	ADV
cana-6006	6	38	localize	localize	VERB
cana-6006	6	39	critical	critical	ADJ
cana-6006	6	40	brain	brain	NOUN
cana-6006	6	41	regions	region	NOUN
cana-6006	6	42	.	.	PUNCT
cana-6006	7	1	training	training	NOUN
cana-6006	7	2	was	be	AUX
cana-6006	7	3	carried	carry	VERB
cana-6006	7	4	out	out	ADP
cana-6006	7	5	on	on	ADP
cana-6006	7	6	the	the	DET
cana-6006	7	7	rsna	rsna	NOUN
cana-6006	7	8	intracranial	intracranial	ADJ
cana-6006	7	9	hemorrhage	hemorrhage	NOUN
cana-6006	7	10	detection	detection	NOUN
cana-6006	7	11	dataset	dataset	NOUN
cana-6006	7	12	,	,	PUNCT
cana-6006	7	13	supported	support	VERB
cana-6006	7	14	by	by	ADP
cana-6006	7	15	transfer	transfer	NOUN
cana-6006	7	16	learning	learning	NOUN
cana-6006	7	17	and	and	CCONJ
cana-6006	7	18	extensive	extensive	ADJ
cana-6006	7	19	data	datum	NOUN
cana-6006	7	20	augmentation	augmentation	NOUN
cana-6006	7	21	to	to	PART
cana-6006	7	22	strengthen	strengthen	VERB
cana-6006	7	23	model	model	NOUN
cana-6006	7	24	generalization	generalization	NOUN
cana-6006	7	25	.	.	PUNCT
cana-6006	8	1	experimental	experimental	ADJ
cana-6006	8	2	results	result	NOUN
cana-6006	8	3	highlight	highlight	VERB
cana-6006	8	4	that	that	SCONJ
cana-6006	8	5	the	the	DET
cana-6006	8	6	system	system	NOUN
cana-6006	8	7	delivers	deliver	VERB
cana-6006	8	8	considerable	considerable	ADJ
cana-6006	8	9	performance	performance	NOUN
cana-6006	8	10	gains	gain	NOUN
cana-6006	8	11	compared	compare	VERB
cana-6006	8	12	to	to	ADP
cana-6006	8	13	baseline	baseline	NOUN
cana-6006	8	14	models	model	NOUN
cana-6006	8	15	,	,	PUNCT
cana-6006	8	16	with	with	ADP
cana-6006	8	17	an	an	DET
cana-6006	8	18	overall	overall	ADJ
cana-6006	8	19	accuracy	accuracy	NOUN
cana-6006	8	20	of	of	ADP
cana-6006	8	21	94.6	94.6	NUM
cana-6006	8	22	%	%	NOUN
cana-6006	8	23	,	,	PUNCT
cana-6006	8	24	an	an	DET
cana-6006	8	25	f1	f1	NOUN
cana-6006	8	26	-	-	PUNCT
cana-6006	8	27	score	score	NOUN
cana-6006	8	28	of	of	ADP
cana-6006	8	29	93.0	93.0	NUM
cana-6006	8	30	%	%	NOUN
cana-6006	8	31	,	,	PUNCT
cana-6006	8	32	and	and	CCONJ
cana-6006	8	33	an	an	DET
cana-6006	8	34	aucroc	aucroc	NOUN
cana-6006	8	35	of	of	ADP
cana-6006	8	36	95.4	95.4	NUM
cana-6006	8	37	%	%	NOUN
cana-6006	8	38	.	.	PUNCT
cana-6006	9	1	these	these	DET
cana-6006	9	2	outcomes	outcome	NOUN
cana-6006	9	3	demonstrate	demonstrate	VERB
cana-6006	9	4	the	the	DET
cana-6006	9	5	effectiveness	effectiveness	NOUN
cana-6006	9	6	of	of	ADP
cana-6006	9	7	combining	combine	VERB
cana-6006	9	8	spatial	spatial	ADJ
cana-6006	9	9	attention	attention	NOUN
cana-6006	9	10	mechanisms	mechanism	NOUN
cana-6006	9	11	with	with	ADP
cana-6006	9	12	domain	domain	NOUN
cana-6006	9	13	-	-	PUNCT
cana-6006	9	14	specific	specific	ADJ
cana-6006	9	15	preprocessing	preprocessing	NOUN
cana-6006	9	16	to	to	PART
cana-6006	9	17	improve	improve	VERB
cana-6006	9	18	both	both	PRON
cana-6006	9	19	diagnostic	diagnostic	ADJ
cana-6006	9	20	accuracy	accuracy	NOUN
cana-6006	9	21	and	and	CCONJ
cana-6006	9	22	clinical	clinical	ADJ
cana-6006	9	23	interpretability	interpretability	NOUN
cana-6006	9	24	.	.	PUNCT
cana-6006	10	1	the	the	DET
cana-6006	10	2	framework	framework	NOUN
cana-6006	10	3	shows	show	VERB
cana-6006	10	4	potential	potential	NOUN
cana-6006	10	5	for	for	ADP
cana-6006	10	6	real	real	ADJ
cana-6006	10	7	-	-	PUNCT
cana-6006	10	8	time	time	NOUN
cana-6006	10	9	application	application	NOUN
cana-6006	10	10	in	in	ADP
cana-6006	10	11	emergency	emergency	NOUN
cana-6006	10	12	settings	setting	NOUN
cana-6006	10	13	and	and	CCONJ
cana-6006	10	14	lays	lay	VERB
cana-6006	10	15	the	the	DET
cana-6006	10	16	groundwork	groundwork	NOUN
cana-6006	10	17	for	for	ADP
cana-6006	10	18	future	future	ADJ
cana-6006	10	19	ai	ai	NOUN
cana-6006	10	20	-	-	PUNCT
cana-6006	10	21	based	base	VERB
cana-6006	10	22	diagnostic	diagnostic	ADJ
cana-6006	10	23	tools	tool	NOUN
cana-6006	10	24	in	in	ADP
cana-6006	10	25	neuroimaging	neuroimaging	NOUN
cana-6006	10	26	.	.	PUNCT
cana-6006	11	1	introduction	introduction	NOUN
cana-6006	11	2	:	:	PUNCT
cana-6006	11	3	the	the	DET
cana-6006	11	4	introduction	introduction	NOUN
cana-6006	11	5	emphasizes	emphasize	VERB
cana-6006	11	6	that	that	SCONJ
cana-6006	11	7	while	while	SCONJ
cana-6006	11	8	cnns	cnn	NOUN
cana-6006	11	9	and	and	CCONJ
cana-6006	11	10	other	other	ADJ
cana-6006	11	11	deep	deep	ADJ
cana-6006	11	12	learning	learning	NOUN
cana-6006	11	13	models	model	NOUN
cana-6006	11	14	are	be	AUX
cana-6006	11	15	highly	highly	ADV
cana-6006	11	16	effective	effective	ADJ
cana-6006	11	17	at	at	ADP
cana-6006	11	18	pattern	pattern	NOUN
cana-6006	11	19	recognition	recognition	NOUN
cana-6006	11	20	in	in	ADP
cana-6006	11	21	medical	medical	ADJ
cana-6006	11	22	imaging	imaging	NOUN
cana-6006	11	23	,	,	PUNCT
cana-6006	11	24	practical	practical	ADJ
cana-6006	11	25	deployment	deployment	NOUN
cana-6006	11	26	still	still	ADV
cana-6006	11	27	faces	face	VERB
cana-6006	11	28	hurdles	hurdle	NOUN
cana-6006	11	29	such	such	ADJ
cana-6006	11	30	as	as	ADP
cana-6006	11	31	limited	limited	ADJ
cana-6006	11	32	dataset	dataset	NOUN
cana-6006	11	33	availability	availability	NOUN
cana-6006	11	34	,	,	PUNCT
cana-6006	11	35	imbalance	imbalance	NOUN
cana-6006	11	36	between	between	ADP
cana-6006	11	37	hemorrhage	hemorrhage	NOUN
cana-6006	11	38	subtypes	subtype	NOUN
cana-6006	11	39	,	,	PUNCT
cana-6006	11	40	interpretability	interpretability	NOUN
cana-6006	11	41	issues	issue	NOUN
cana-6006	11	42	,	,	PUNCT
cana-6006	11	43	patient	patient	NOUN
cana-6006	11	44	privacy	privacy	NOUN
cana-6006	11	45	,	,	PUNCT
cana-6006	11	46	and	and	CCONJ
cana-6006	11	47	high	high	ADJ
cana-6006	11	48	computational	computational	ADJ
cana-6006	11	49	cost	cost	NOUN
cana-6006	11	50	.	.	PUNCT
cana-6006	12	1	to	to	PART
cana-6006	12	2	address	address	VERB
cana-6006	12	3	these	these	DET
cana-6006	12	4	barriers	barrier	NOUN
cana-6006	12	5	,	,	PUNCT
cana-6006	12	6	the	the	DET
cana-6006	12	7	research	research	NOUN
cana-6006	12	8	applies	apply	VERB
cana-6006	12	9	data	datum	NOUN
cana-6006	12	10	augmentation	augmentation	NOUN
cana-6006	12	11	,	,	PUNCT
cana-6006	12	12	transfer	transfer	NOUN
cana-6006	12	13	learning	learning	NOUN
cana-6006	12	14	,	,	PUNCT
cana-6006	12	15	and	and	CCONJ
cana-6006	12	16	interpretability	interpretability	NOUN
cana-6006	12	17	tools	tool	NOUN
cana-6006	12	18	such	such	ADJ
cana-6006	12	19	as	as	ADP
cana-6006	12	20	grad	grad	NOUN
cana-6006	12	21	-	-	PUNCT
cana-6006	12	22	cam	cam	NOUN
cana-6006	12	23	,	,	PUNCT
cana-6006	12	24	which	which	PRON
cana-6006	12	25	allow	allow	VERB
cana-6006	12	26	clinicians	clinician	NOUN
cana-6006	12	27	to	to	PART
cana-6006	12	28	better	well	ADV
cana-6006	12	29	understand	understand	VERB
cana-6006	12	30	how	how	SCONJ
cana-6006	12	31	predictions	prediction	NOUN
cana-6006	12	32	are	be	AUX
cana-6006	12	33	made	make	VERB
cana-6006	12	34	.	.	PUNCT
cana-6006	13	1	this	this	PRON
cana-6006	13	2	not	not	PART
cana-6006	13	3	only	only	ADV
cana-6006	13	4	improves	improve	VERB
cana-6006	13	5	sensitivity	sensitivity	NOUN
cana-6006	13	6	and	and	CCONJ
cana-6006	13	7	reliability	reliability	NOUN
cana-6006	13	8	but	but	CCONJ
cana-6006	13	9	also	also	ADV
cana-6006	13	10	builds	build	VERB
cana-6006	13	11	trust	trust	NOUN
cana-6006	13	12	in	in	ADP
cana-6006	13	13	ai	ai	ADJ
cana-6006	13	14	-	-	PUNCT
cana-6006	13	15	assisted	assist	VERB
cana-6006	13	16	decisions	decision	NOUN
cana-6006	13	17	.	.	PUNCT
cana-6006	14	1	looking	look	VERB
cana-6006	14	2	forward	forward	ADV
cana-6006	14	3	,	,	PUNCT
cana-6006	14	4	the	the	DET
cana-6006	14	5	study	study	NOUN
cana-6006	14	6	suggests	suggest	VERB
cana-6006	14	7	exploring	explore	VERB
cana-6006	14	8	multimodal	multimodal	ADJ
cana-6006	14	9	data	datum	NOUN
cana-6006	14	10	fusion	fusion	NOUN
cana-6006	14	11	,	,	PUNCT
cana-6006	14	12	federated	federated	ADJ
cana-6006	14	13	learning	learning	NOUN
cana-6006	14	14	,	,	PUNCT
cana-6006	14	15	and	and	CCONJ
cana-6006	14	16	edge	edge	NOUN
cana-6006	14	17	ai	ai	VERB
cana-6006	14	18	deployment	deployment	NOUN
cana-6006	14	19	to	to	PART
cana-6006	14	20	further	far	ADV
cana-6006	14	21	enhance	enhance	VERB
cana-6006	14	22	speed	speed	NOUN
cana-6006	14	23	,	,	PUNCT
cana-6006	14	24	security	security	NOUN
cana-6006	14	25	,	,	PUNCT
cana-6006	14	26	and	and	CCONJ
cana-6006	14	27	accessibility	accessibility	NOUN
cana-6006	14	28	in	in	ADP
cana-6006	14	29	clinical	clinical	ADJ
cana-6006	14	30	environments	environment	NOUN
cana-6006	14	31	.	.	PUNCT
cana-6006	15	1	objectives	objective	NOUN
cana-6006	15	2	:	:	PUNCT
cana-6006	15	3	the	the	DET
cana-6006	15	4	core	core	ADJ
cana-6006	15	5	objectives	objective	NOUN
cana-6006	15	6	are	be	AUX
cana-6006	15	7	to	to	PART
cana-6006	15	8	design	design	VERB
cana-6006	15	9	,	,	PUNCT
cana-6006	15	10	train	train	NOUN
cana-6006	15	11	,	,	PUNCT
cana-6006	15	12	and	and	CCONJ
cana-6006	15	13	evaluate	evaluate	VERB
cana-6006	15	14	cnn	cnn	PROPN
cana-6006	15	15	-	-	PUNCT
cana-6006	15	16	based	base	VERB
cana-6006	15	17	architectures	architecture	NOUN
cana-6006	15	18	for	for	ADP
cana-6006	15	19	accurate	accurate	ADJ
cana-6006	15	20	prediction	prediction	NOUN
cana-6006	15	21	of	of	ADP
cana-6006	15	22	brain	brain	NOUN
cana-6006	15	23	hemorrhage	hemorrhage	NOUN
cana-6006	15	24	,	,	PUNCT
cana-6006	15	25	using	use	VERB
cana-6006	15	26	carefully	carefully	ADV
cana-6006	15	27	preprocessed	preprocesse	VERB
cana-6006	15	28	imaging	imaging	NOUN
cana-6006	15	29	data	datum	NOUN
cana-6006	15	30	.	.	PUNCT
cana-6006	16	1	the	the	DET
cana-6006	16	2	study	study	NOUN
cana-6006	16	3	gives	give	VERB
cana-6006	16	4	performance	performance	NOUN
cana-6006	16	5	through	through	ADP
cana-6006	16	6	accuracy	accuracy	NOUN
cana-6006	16	7	,	,	PUNCT
cana-6006	16	8	precision	precision	NOUN
cana-6006	16	9	,	,	PUNCT
cana-6006	16	10	recall	recall	NOUN
cana-6006	16	11	,	,	PUNCT
cana-6006	16	12	f1	f1	NOUN
cana-6006	16	13	-	-	PUNCT
cana-6006	16	14	score	score	NOUN
cana-6006	16	15	,	,	PUNCT
cana-6006	16	16	and	and	CCONJ
cana-6006	16	17	roc	roc	NOUN
cana-6006	16	18	-	-	PUNCT
cana-6006	16	19	auc	auc	NOUN
cana-6006	16	20	.	.	PUNCT
cana-6006	17	1	in	in	ADP
cana-6006	17	2	addition	addition	NOUN
cana-6006	17	3	,	,	PUNCT
cana-6006	17	4	the	the	DET
cana-6006	17	5	study	study	NOUN
cana-6006	17	6	integrates	integrate	VERB
cana-6006	17	7	relevant	relevant	ADJ
cana-6006	17	8	clinical	clinical	ADJ
cana-6006	17	9	features	feature	NOUN
cana-6006	17	10	such	such	ADJ
cana-6006	17	11	as	as	ADP
cana-6006	17	12	patient	patient	ADJ
cana-6006	17	13	history	history	NOUN
cana-6006	17	14	,	,	PUNCT
cana-6006	17	15	age	age	NOUN
cana-6006	17	16	,	,	PUNCT
cana-6006	17	17	and	and	CCONJ
cana-6006	17	18	blood	blood	NOUN
cana-6006	17	19	pressure	pressure	NOUN
cana-6006	17	20	,	,	PUNCT
cana-6006	17	21	while	while	SCONJ
cana-6006	17	22	also	also	ADV
cana-6006	17	23	investigating	investigate	VERB
cana-6006	17	24	demographic	demographic	ADJ
cana-6006	17	25	or	or	CCONJ
cana-6006	17	26	source	source	NOUN
cana-6006	17	27	-	-	PUNCT
cana-6006	17	28	based	base	VERB
cana-6006	17	29	biases	bias	NOUN
cana-6006	17	30	in	in	ADP
cana-6006	17	31	the	the	DET
cana-6006	17	32	dataset	dataset	NOUN
cana-6006	17	33	.	.	PUNCT
cana-6006	18	1	ultimately	ultimately	ADV
cana-6006	18	2	,	,	PUNCT
cana-6006	18	3	the	the	DET
cana-6006	18	4	aim	aim	NOUN
cana-6006	18	5	is	be	AUX
cana-6006	18	6	to	to	PART
cana-6006	18	7	create	create	VERB
cana-6006	18	8	a	a	DET
cana-6006	18	9	robust	robust	ADJ
cana-6006	18	10	,	,	PUNCT
cana-6006	18	11	equitable	equitable	ADJ
cana-6006	18	12	,	,	PUNCT
cana-6006	18	13	and	and	CCONJ
cana-6006	18	14	clinically	clinically	ADV
cana-6006	18	15	applicable	applicable	ADJ
cana-6006	18	16	automated	automate	VERB
cana-6006	18	17	system	system	NOUN
cana-6006	18	18	for	for	ADP
cana-6006	18	19	reliable	reliable	ADJ
cana-6006	18	20	hemorrhage	hemorrhage	NOUN
cana-6006	18	21	detection	detection	NOUN
cana-6006	18	22	.	.	PUNCT
cana-6006	19	1	communications	communication	NOUN
cana-6006	19	2	on	on	ADP
cana-6006	19	3	applied	apply	VERB
cana-6006	19	4	nonlinear	nonlinear	ADJ
cana-6006	19	5	analysis	analysis	NOUN
cana-6006	19	6	issn	issn	NOUN
cana-6006	19	7	:	:	PUNCT
cana-6006	19	8	1074	1074	NUM
cana-6006	19	9	-	-	PUNCT
cana-6006	19	10	133x	133x	NUM
cana-6006	19	11	vol	vol	VERB
cana-6006	19	12	32	32	NUM
cana-6006	19	13	no	no	NOUN
cana-6006	19	14	.	.	PUNCT
cana-6006	20	1	10s	10	NOUN
cana-6006	20	2	(	(	PUNCT
cana-6006	20	3	2025	2025	NUM
cana-6006	20	4	)	)	PUNCT
cana-6006	20	5	3202	3202	NUM
cana-6006	20	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6006	20	7	1	1	X
cana-6006	20	8	.	.	PUNCT
cana-6006	20	9	introduction	introduction	NOUN
cana-6006	20	10	the	the	DET
cana-6006	20	11	rationale	rationale	NOUN
cana-6006	20	12	for	for	ADP
cana-6006	20	13	the	the	DET
cana-6006	20	14	present	present	ADJ
cana-6006	20	15	study	study	NOUN
cana-6006	20	16	stems	stem	VERB
cana-6006	20	17	from	from	ADP
cana-6006	20	18	the	the	DET
cana-6006	20	19	urgent	urgent	ADJ
cana-6006	20	20	need	need	NOUN
cana-6006	20	21	for	for	ADP
cana-6006	20	22	rapid	rapid	ADJ
cana-6006	20	23	and	and	CCONJ
cana-6006	20	24	accurate	accurate	ADJ
cana-6006	20	25	diagnosis	diagnosis	NOUN
cana-6006	20	26	of	of	ADP
cana-6006	20	27	emergency	emergency	NOUN
cana-6006	20	28	neurological	neurological	ADJ
cana-6006	20	29	disorders	disorder	NOUN
cana-6006	20	30	.	.	PUNCT
cana-6006	21	1	brain	brain	NOUN
cana-6006	21	2	haemorrhage	haemorrhage	NOUN
cana-6006	21	3	can	can	AUX
cana-6006	21	4	become	become	VERB
cana-6006	21	5	life	life	NOUN
cana-6006	21	6	-	-	PUNCT
cana-6006	21	7	threatening	threaten	VERB
cana-6006	21	8	or	or	CCONJ
cana-6006	21	9	irreversible	irreversible	ADJ
cana-6006	21	10	with	with	ADP
cana-6006	21	11	time	time	NOUN
cana-6006	21	12	and	and	CCONJ
cana-6006	21	13	lead	lead	VERB
cana-6006	21	14	to	to	ADP
cana-6006	21	15	devastating	devastating	ADJ
cana-6006	21	16	neurological	neurological	ADJ
cana-6006	21	17	sequelae	sequelae	NOUN
cana-6006	21	18	unless	unless	SCONJ
cana-6006	21	19	diagnosed	diagnose	VERB
cana-6006	21	20	early	early	ADV
cana-6006	21	21	.	.	PUNCT
cana-6006	22	1	although	although	SCONJ
cana-6006	22	2	the	the	DET
cana-6006	22	3	gold	gold	ADJ
cana-6006	22	4	standard	standard	NOUN
cana-6006	22	5	of	of	ADP
cana-6006	22	6	manual	manual	ADJ
cana-6006	22	7	interpretation	interpretation	NOUN
cana-6006	22	8	by	by	ADP
cana-6006	22	9	expert	expert	ADJ
cana-6006	22	10	radiologists	radiologist	NOUN
cana-6006	22	11	is	be	AUX
cana-6006	22	12	the	the	DET
cana-6006	22	13	clinical	clinical	ADJ
cana-6006	22	14	gold	gold	NOUN
cana-6006	22	15	standard	standard	NOUN
cana-6006	22	16	,	,	PUNCT
cana-6006	22	17	it	it	PRON
cana-6006	22	18	is	be	AUX
cana-6006	22	19	labourintensive	labourintensive	ADJ
cana-6006	22	20	,	,	PUNCT
cana-6006	22	21	vulnerable	vulnerable	ADJ
cana-6006	22	22	to	to	ADP
cana-6006	22	23	observer	observer	NOUN
cana-6006	22	24	variability	variability	NOUN
cana-6006	22	25	,	,	PUNCT
cana-6006	22	26	and	and	CCONJ
cana-6006	22	27	dependent	dependent	ADJ
cana-6006	22	28	on	on	ADP
cana-6006	22	29	the	the	DET
cana-6006	22	30	availability	availability	NOUN
cana-6006	22	31	of	of	ADP
cana-6006	22	32	skilled	skilled	ADJ
cana-6006	22	33	radiologists	radiologist	NOUN
cana-6006	22	34	.	.	PUNCT
cana-6006	23	1	hence	hence	ADV
cana-6006	23	2	,	,	PUNCT
cana-6006	23	3	the	the	DET
cana-6006	23	4	creation	creation	NOUN
cana-6006	23	5	of	of	ADP
cana-6006	23	6	an	an	DET
cana-6006	23	7	automated	automate	VERB
cana-6006	23	8	,	,	PUNCT
cana-6006	23	9	interpretable	interpretable	ADJ
cana-6006	23	10	,	,	PUNCT
cana-6006	23	11	and	and	CCONJ
cana-6006	23	12	efficient	efficient	ADJ
cana-6006	23	13	deep	deep	ADJ
cana-6006	23	14	learning	learning	NOUN
cana-6006	23	15	algorithm	algorithm	NOUN
cana-6006	23	16	can	can	AUX
cana-6006	23	17	dramatically	dramatically	ADV
cana-6006	23	18	improve	improve	VERB
cana-6006	23	19	the	the	DET
cana-6006	23	20	diagnostic	diagnostic	ADJ
cana-6006	23	21	process	process	NOUN
cana-6006	23	22	and	and	CCONJ
cana-6006	23	23	the	the	DET
cana-6006	23	24	outcomes	outcome	NOUN
cana-6006	23	25	of	of	ADP
cana-6006	23	26	patients	patient	NOUN
cana-6006	23	27	.	.	PUNCT
cana-6006	24	1	brain	brain	NOUN
cana-6006	24	2	haemorrhage	haemorrhage	PROPN
cana-6006	24	3	,	,	PUNCT
cana-6006	24	4	a	a	DET
cana-6006	24	5	potentially	potentially	ADV
cana-6006	24	6	life	life	NOUN
cana-6006	24	7	-	-	PUNCT
cana-6006	24	8	threatening	threaten	VERB
cana-6006	24	9	condition	condition	NOUN
cana-6006	24	10	presenting	present	VERB
cana-6006	24	11	with	with	ADP
cana-6006	24	12	bleeding	bleed	VERB
cana-6006	24	13	in	in	ADP
cana-6006	24	14	the	the	DET
cana-6006	24	15	brain	brain	NOUN
cana-6006	24	16	parenchyma	parenchyma	NOUN
cana-6006	24	17	or	or	CCONJ
cana-6006	24	18	immediately	immediately	ADV
cana-6006	24	19	adjacent	adjacent	ADJ
cana-6006	24	20	to	to	ADP
cana-6006	24	21	the	the	DET
cana-6006	24	22	brain	brain	NOUN
cana-6006	24	23	,	,	PUNCT
cana-6006	24	24	needs	need	VERB
cana-6006	24	25	to	to	PART
cana-6006	24	26	be	be	AUX
cana-6006	24	27	diagnosed	diagnose	VERB
cana-6006	24	28	quickly	quickly	ADV
cana-6006	24	29	and	and	CCONJ
cana-6006	24	30	accurately	accurately	ADV
cana-6006	24	31	to	to	PART
cana-6006	24	32	limit	limit	VERB
cana-6006	24	33	the	the	DET
cana-6006	24	34	risk	risk	NOUN
cana-6006	24	35	of	of	ADP
cana-6006	24	36	neurological	neurological	ADJ
cana-6006	24	37	injury	injury	NOUN
cana-6006	24	38	or	or	CCONJ
cana-6006	24	39	death	death	NOUN
cana-6006	24	40	.	.	PUNCT
cana-6006	25	1	conventional	conventional	ADJ
cana-6006	25	2	diagnostic	diagnostic	ADJ
cana-6006	25	3	methods	method	NOUN
cana-6006	25	4	,	,	PUNCT
cana-6006	25	5	including	include	VERB
cana-6006	25	6	computed	compute	VERB
cana-6006	25	7	tomography	tomography	NOUN
cana-6006	25	8	(	(	PUNCT
cana-6006	25	9	mri	mri	NOUN
cana-6006	25	10	)	)	PUNCT
cana-6006	25	11	and	and	CCONJ
cana-6006	25	12	magnetic	magnetic	ADJ
cana-6006	25	13	resonance	resonance	NOUN
cana-6006	25	14	imaging	imaging	NOUN
cana-6006	25	15	(	(	PUNCT
cana-6006	25	16	mri	mri	NOUN
cana-6006	25	17	)	)	PUNCT
cana-6006	25	18	,	,	PUNCT
cana-6006	25	19	work	work	VERB
cana-6006	25	20	well	well	ADV
cana-6006	25	21	but	but	CCONJ
cana-6006	25	22	are	be	AUX
cana-6006	25	23	highly	highly	ADV
cana-6006	25	24	dependent	dependent	ADJ
cana-6006	25	25	on	on	ADP
cana-6006	25	26	radiologist	radiologist	ADJ
cana-6006	25	27	reporting	reporting	NOUN
cana-6006	25	28	,	,	PUNCT
cana-6006	25	29	which	which	PRON
cana-6006	25	30	can	can	AUX
cana-6006	25	31	cause	cause	VERB
cana-6006	25	32	delays	delay	NOUN
cana-6006	25	33	in	in	ADP
cana-6006	25	34	diagnosis	diagnosis	NOUN
cana-6006	25	35	and	and	CCONJ
cana-6006	25	36	inter	inter	ADJ
cana-6006	25	37	-	-	ADJ
cana-6006	25	38	observer	observer	ADJ
cana-6006	25	39	variability	variability	NOUN
cana-6006	25	40	[	[	X
cana-6006	25	41	1	1	NUM
cana-6006	25	42	]	]	PUNCT
cana-6006	25	43	.	.	PUNCT
cana-6006	26	1	with	with	ADP
cana-6006	26	2	growing	grow	VERB
cana-6006	26	3	access	access	NOUN
cana-6006	26	4	to	to	ADP
cana-6006	26	5	medical	medical	ADJ
cana-6006	26	6	methods	method	NOUN
cana-6006	26	7	:	:	PUNCT
cana-6006	26	8	the	the	DET
cana-6006	26	9	approach	approach	NOUN
cana-6006	26	10	of	of	ADP
cana-6006	26	11	this	this	DET
cana-6006	26	12	study	study	NOUN
cana-6006	26	13	utilizes	utilize	VERB
cana-6006	26	14	a	a	DET
cana-6006	26	15	structured	structured	ADJ
cana-6006	26	16	and	and	CCONJ
cana-6006	26	17	deep	deep	ADJ
cana-6006	26	18	learning	learning	NOUN
cana-6006	26	19	pipeline	pipeline	NOUN
cana-6006	26	20	to	to	PART
cana-6006	26	21	transition	transition	VERB
cana-6006	26	22	from	from	ADP
cana-6006	26	23	raw	raw	ADJ
cana-6006	26	24	mri	mri	NOUN
cana-6006	26	25	scan	scan	NOUN
cana-6006	26	26	images	image	NOUN
cana-6006	26	27	to	to	ADP
cana-6006	26	28	predictions	prediction	NOUN
cana-6006	26	29	and	and	CCONJ
cana-6006	26	30	classifications	classification	NOUN
cana-6006	26	31	of	of	ADP
cana-6006	26	32	subtypes	subtype	NOUN
cana-6006	26	33	of	of	ADP
cana-6006	26	34	brain	brain	NOUN
cana-6006	26	35	haemorrhages	haemorrhage	NOUN
cana-6006	26	36	.	.	PUNCT
cana-6006	27	1	at	at	ADP
cana-6006	27	2	the	the	DET
cana-6006	27	3	beginning	beginning	NOUN
cana-6006	27	4	,	,	PUNCT
cana-6006	27	5	the	the	DET
cana-6006	27	6	rsna	rsna	NOUN
cana-6006	27	7	intracranial	intracranial	ADJ
cana-6006	27	8	hemorrhage	hemorrhage	NOUN
cana-6006	27	9	detection	detection	NOUN
cana-6006	27	10	dataset	dataset	NOUN
cana-6006	27	11	is	be	AUX
cana-6006	27	12	cleaned	clean	VERB
cana-6006	27	13	and	and	CCONJ
cana-6006	27	14	prepared	prepare	VERB
cana-6006	27	15	by	by	ADP
cana-6006	27	16	adjusting	adjust	VERB
cana-6006	27	17	the	the	DET
cana-6006	27	18	data	data	NOUN
cana-6006	27	19	scales	scale	NOUN
cana-6006	27	20	(	(	PUNCT
cana-6006	27	21	normalization	normalization	NOUN
cana-6006	27	22	)	)	PUNCT
cana-6006	27	23	,	,	PUNCT
cana-6006	27	24	identifying	identify	VERB
cana-6006	27	25	and	and	CCONJ
cana-6006	27	26	separating	separate	VERB
cana-6006	27	27	important	important	ADJ
cana-6006	27	28	brain	brain	NOUN
cana-6006	27	29	areas	area	NOUN
cana-6006	27	30	(	(	PUNCT
cana-6006	27	31	segmentation	segmentation	NOUN
cana-6006	27	32	)	)	PUNCT
cana-6006	27	33	,	,	PUNCT
cana-6006	27	34	and	and	CCONJ
cana-6006	27	35	creating	create	VERB
cana-6006	27	36	additional	additional	ADJ
cana-6006	27	37	varied	varied	ADJ
cana-6006	27	38	examples	example	NOUN
cana-6006	27	39	(	(	PUNCT
cana-6006	27	40	augmentation	augmentation	NOUN
cana-6006	27	41	)	)	PUNCT
cana-6006	27	42	.	.	PUNCT
cana-6006	28	1	these	these	DET
cana-6006	28	2	steps	step	NOUN
cana-6006	28	3	help	help	VERB
cana-6006	28	4	improve	improve	VERB
cana-6006	28	5	the	the	DET
cana-6006	28	6	quality	quality	NOUN
cana-6006	28	7	of	of	ADP
cana-6006	28	8	the	the	DET
cana-6006	28	9	data	datum	NOUN
cana-6006	28	10	and	and	CCONJ
cana-6006	28	11	make	make	VERB
cana-6006	28	12	it	it	PRON
cana-6006	28	13	easier	easy	ADJ
cana-6006	28	14	for	for	SCONJ
cana-6006	28	15	the	the	DET
cana-6006	28	16	model	model	NOUN
cana-6006	28	17	to	to	PART
cana-6006	28	18	learn	learn	VERB
cana-6006	28	19	and	and	CCONJ
cana-6006	28	20	perform	perform	VERB
cana-6006	28	21	well	well	ADV
cana-6006	28	22	on	on	ADP
cana-6006	28	23	new	new	ADJ
cana-6006	28	24	,	,	PUNCT
cana-6006	28	25	unseen	unseen	ADJ
cana-6006	28	26	cases	case	NOUN
cana-6006	28	27	.	.	PUNCT
cana-6006	29	1	the	the	DET
cana-6006	29	2	study	study	NOUN
cana-6006	29	3	utilizes	utilize	VERB
cana-6006	29	4	a	a	DET
cana-6006	29	5	modified	modified	ADJ
cana-6006	29	6	resnet-50	resnet-50	NOUN
cana-6006	29	7	architecture	architecture	NOUN
cana-6006	29	8	,	,	PUNCT
cana-6006	29	9	enhanced	enhance	VERB
cana-6006	29	10	with	with	ADP
cana-6006	29	11	squeeze	squeeze	NOUN
cana-6006	29	12	-	-	PUNCT
cana-6006	29	13	and	and	CCONJ
cana-6006	29	14	-	-	PUNCT
cana-6006	29	15	excitation	excitation	NOUN
cana-6006	29	16	blocks	block	NOUN
cana-6006	29	17	,	,	PUNCT
cana-6006	29	18	to	to	PART
cana-6006	29	19	build	build	VERB
cana-6006	29	20	a	a	DET
cana-6006	29	21	data	datum	NOUN
cana-6006	29	22	representation	representation	NOUN
cana-6006	29	23	and	and	CCONJ
cana-6006	29	24	multi	multi	ADJ
cana-6006	29	25	-	-	ADJ
cana-6006	29	26	class	class	ADJ
cana-6006	29	27	classification	classification	NOUN
cana-6006	29	28	for	for	ADP
cana-6006	29	29	robustness	robustness	NOUN
cana-6006	29	30	,	,	PUNCT
cana-6006	29	31	learning	learn	VERB
cana-6006	29	32	representations	representation	NOUN
cana-6006	29	33	of	of	ADP
cana-6006	29	34	not	not	PART
cana-6006	29	35	only	only	ADJ
cana-6006	29	36	examples	example	NOUN
cana-6006	29	37	of	of	ADP
cana-6006	29	38	different	different	ADJ
cana-6006	29	39	subtypes	subtype	NOUN
cana-6006	29	40	of	of	ADP
cana-6006	29	41	brain	brain	NOUN
cana-6006	29	42	hemorrhages	hemorrhage	NOUN
cana-6006	29	43	but	but	CCONJ
cana-6006	29	44	also	also	ADV
cana-6006	29	45	the	the	DET
cana-6006	29	46	representation	representation	NOUN
cana-6006	29	47	of	of	ADP
cana-6006	29	48	the	the	DET
cana-6006	29	49	underlying	underlie	VERB
cana-6006	29	50	brain	brain	NOUN
cana-6006	29	51	structures	structure	NOUN
cana-6006	29	52	surrounding	surround	VERB
cana-6006	29	53	them	they	PRON
cana-6006	29	54	.	.	PUNCT
cana-6006	30	1	the	the	DET
cana-6006	30	2	model	model	NOUN
cana-6006	30	3	uses	use	VERB
cana-6006	30	4	categorical	categorical	ADJ
cana-6006	30	5	cross	cross	NOUN
cana-6006	30	6	-	-	NOUN
cana-6006	30	7	entropy	entropy	NOUN
cana-6006	30	8	as	as	ADP
cana-6006	30	9	a	a	DET
cana-6006	30	10	loss	loss	NOUN
cana-6006	30	11	function	function	NOUN
cana-6006	30	12	and	and	CCONJ
cana-6006	30	13	uses	use	VERB
cana-6006	30	14	adam	adam	PROPN
cana-6006	30	15	optimizer	optimizer	NOUN
cana-6006	30	16	with	with	ADP
cana-6006	30	17	a	a	DET
cana-6006	30	18	cosine	cosine	NOUN
cana-6006	30	19	annealing	anneal	VERB
cana-6006	30	20	learning	learning	NOUN
cana-6006	30	21	rate	rate	NOUN
cana-6006	30	22	schedule	schedule	NOUN
cana-6006	30	23	.	.	PUNCT
cana-6006	31	1	evaluation	evaluation	NOUN
cana-6006	31	2	metrics	metric	NOUN
cana-6006	31	3	are	be	AUX
cana-6006	31	4	used	use	VERB
cana-6006	31	5	for	for	ADP
cana-6006	31	6	learning	learning	NOUN
cana-6006	31	7	and	and	CCONJ
cana-6006	31	8	performance	performance	NOUN
cana-6006	31	9	,	,	PUNCT
cana-6006	31	10	and	and	CCONJ
cana-6006	31	11	grad	grad	NOUN
cana-6006	31	12	-	-	PUNCT
cana-6006	31	13	cam	cam	NOUN
cana-6006	31	14	maps	map	NOUN
cana-6006	31	15	for	for	ADP
cana-6006	31	16	evaluation	evaluation	NOUN
cana-6006	31	17	and	and	CCONJ
cana-6006	31	18	performance	performance	NOUN
cana-6006	31	19	interpretability	interpretability	NOUN
cana-6006	31	20	.	.	PUNCT
cana-6006	32	1	finally	finally	ADV
cana-6006	32	2	,	,	PUNCT
cana-6006	32	3	the	the	DET
cana-6006	32	4	system	system	NOUN
cana-6006	32	5	is	be	AUX
cana-6006	32	6	deployed	deploy	VERB
cana-6006	32	7	in	in	ADP
cana-6006	32	8	a	a	DET
cana-6006	32	9	cloud	cloud	ADJ
cana-6006	32	10	and	and	CCONJ
cana-6006	32	11	edge	edge	NOUN
cana-6006	32	12	-	-	PUNCT
cana-6006	32	13	ready	ready	ADJ
cana-6006	32	14	approach	approach	NOUN
cana-6006	32	15	.	.	PUNCT
cana-6006	33	1	results	result	NOUN
cana-6006	33	2	:	:	PUNCT
cana-6006	33	3	the	the	DET
cana-6006	33	4	findings	finding	NOUN
cana-6006	33	5	show	show	VERB
cana-6006	33	6	the	the	DET
cana-6006	33	7	efficacy	efficacy	NOUN
cana-6006	33	8	of	of	ADP
cana-6006	33	9	the	the	DET
cana-6006	33	10	proposed	propose	VERB
cana-6006	33	11	modified	modify	VERB
cana-6006	33	12	resnet-50	resnet-50	PROPN
cana-6006	33	13	model	model	NOUN
cana-6006	33	14	with	with	ADP
cana-6006	33	15	se	se	PROPN
cana-6006	33	16	blocks	block	NOUN
cana-6006	33	17	and	and	CCONJ
cana-6006	33	18	u	u	NOUN
cana-6006	33	19	-	-	ADJ
cana-6006	33	20	net	net	ADJ
cana-6006	33	21	preprocessing	preprocessing	NOUN
cana-6006	33	22	for	for	ADP
cana-6006	33	23	classifying	classify	VERB
cana-6006	33	24	brain	brain	NOUN
cana-6006	33	25	hemorrhage	hemorrhage	NOUN
cana-6006	33	26	subtypes	subtype	NOUN
cana-6006	33	27	.	.	PUNCT
cana-6006	34	1	the	the	DET
cana-6006	34	2	proposed	propose	VERB
cana-6006	34	3	approach	approach	NOUN
cana-6006	34	4	outperformed	outperform	VERB
cana-6006	34	5	the	the	DET
cana-6006	34	6	baseline	baseline	NOUN
cana-6006	34	7	models	model	NOUN
cana-6006	34	8	in	in	ADP
cana-6006	34	9	terms	term	NOUN
cana-6006	34	10	of	of	ADP
cana-6006	34	11	accuracy	accuracy	NOUN
cana-6006	34	12	,	,	PUNCT
cana-6006	34	13	precision	precision	NOUN
cana-6006	34	14	,	,	PUNCT
cana-6006	34	15	recall	recall	NOUN
cana-6006	34	16	,	,	PUNCT
cana-6006	34	17	and	and	CCONJ
cana-6006	34	18	auc	auc	NOUN
cana-6006	34	19	-	-	PUNCT
cana-6006	34	20	roc	roc	NOUN
cana-6006	34	21	metrics	metric	NOUN
cana-6006	34	22	,	,	PUNCT
cana-6006	34	23	demonstrating	demonstrate	VERB
cana-6006	34	24	its	its	PRON
cana-6006	34	25	clinical	clinical	ADJ
cana-6006	34	26	utility	utility	NOUN
cana-6006	34	27	for	for	ADP
cana-6006	34	28	medical	medical	ADJ
cana-6006	34	29	imaging	imaging	NOUN
cana-6006	34	30	diagnostic	diagnostic	ADJ
cana-6006	34	31	applications	application	NOUN
cana-6006	34	32	.	.	PUNCT
cana-6006	35	1	conclusions	conclusion	NOUN
cana-6006	35	2	:	:	PUNCT
cana-6006	35	3	this	this	DET
cana-6006	35	4	research	research	NOUN
cana-6006	35	5	proposes	propose	VERB
cana-6006	35	6	a	a	DET
cana-6006	35	7	novel	novel	ADJ
cana-6006	35	8	deep	deep	ADJ
cana-6006	35	9	learning	learning	NOUN
cana-6006	35	10	model	model	NOUN
cana-6006	35	11	for	for	ADP
cana-6006	35	12	automated	automate	VERB
cana-6006	35	13	brain	brain	NOUN
cana-6006	35	14	hemorrhage	hemorrhage	NOUN
cana-6006	35	15	subtype	subtype	NOUN
cana-6006	35	16	prediction	prediction	NOUN
cana-6006	35	17	using	use	VERB
cana-6006	35	18	mri	mri	NOUN
cana-6006	35	19	scans	scan	NOUN
cana-6006	35	20	,	,	PUNCT
cana-6006	35	21	combining	combine	VERB
cana-6006	35	22	a	a	DET
cana-6006	35	23	modified	modify	VERB
cana-6006	35	24	resnet-50	resnet-50	PROPN
cana-6006	35	25	with	with	ADP
cana-6006	35	26	se	se	X
cana-6006	35	27	blocks	block	NOUN
cana-6006	35	28	and	and	CCONJ
cana-6006	35	29	u	u	NOUN
cana-6006	35	30	-	-	ADJ
cana-6006	35	31	net	net	ADJ
cana-6006	35	32	preprocessing	preprocessing	NOUN
cana-6006	35	33	for	for	ADP
cana-6006	35	34	better	well	ADJ
cana-6006	35	35	spatial	spatial	ADJ
cana-6006	35	36	feature	feature	NOUN
cana-6006	35	37	extraction	extraction	NOUN
cana-6006	35	38	.	.	PUNCT
cana-6006	36	1	trained	train	VERB
cana-6006	36	2	on	on	ADP
cana-6006	36	3	the	the	DET
cana-6006	36	4	rsna	rsna	NOUN
cana-6006	36	5	dataset	dataset	NOUN
cana-6006	36	6	,	,	PUNCT
cana-6006	36	7	the	the	DET
cana-6006	36	8	model	model	NOUN
cana-6006	36	9	achieved	achieve	VERB
cana-6006	36	10	94.6	94.6	NUM
cana-6006	36	11	%	%	NOUN
cana-6006	36	12	accuracy	accuracy	NOUN
cana-6006	36	13	,	,	PUNCT
cana-6006	36	14	93.2	93.2	NUM
cana-6006	36	15	%	%	NOUN
cana-6006	36	16	precision	precision	NOUN
cana-6006	36	17	,	,	PUNCT
cana-6006	36	18	92.9	92.9	NUM
cana-6006	36	19	%	%	NOUN
cana-6006	36	20	recall	recall	NOUN
cana-6006	36	21	,	,	PUNCT
cana-6006	36	22	93.0	93.0	NUM
cana-6006	36	23	%	%	NOUN
cana-6006	36	24	f1	f1	NOUN
cana-6006	36	25	-	-	PUNCT
cana-6006	36	26	score	score	NOUN
cana-6006	36	27	,	,	PUNCT
cana-6006	36	28	and	and	CCONJ
cana-6006	36	29	95.4	95.4	NUM
cana-6006	36	30	%	%	NOUN
cana-6006	36	31	auc	auc	NOUN
cana-6006	36	32	-	-	PUNCT
cana-6006	36	33	roc	roc	NOUN
cana-6006	36	34	,	,	PUNCT
cana-6006	36	35	outperforming	outperform	VERB
cana-6006	36	36	baseline	baseline	NOUN
cana-6006	36	37	methods	method	NOUN
cana-6006	36	38	.	.	PUNCT
cana-6006	37	1	the	the	DET
cana-6006	37	2	framework	framework	NOUN
cana-6006	37	3	offers	offer	VERB
cana-6006	37	4	a	a	DET
cana-6006	37	5	high	high	ADJ
cana-6006	37	6	-	-	PUNCT
cana-6006	37	7	performance	performance	NOUN
cana-6006	37	8	,	,	PUNCT
cana-6006	37	9	explainable	explainable	ADJ
cana-6006	37	10	,	,	PUNCT
cana-6006	37	11	and	and	CCONJ
cana-6006	37	12	clinically	clinically	ADV
cana-6006	37	13	deployable	deployable	ADJ
cana-6006	37	14	solution	solution	NOUN
cana-6006	37	15	with	with	ADP
cana-6006	37	16	potential	potential	ADJ
cana-6006	37	17	integration	integration	NOUN
cana-6006	37	18	into	into	ADP
cana-6006	37	19	hospital	hospital	NOUN
cana-6006	37	20	pacs	pac	NOUN
cana-6006	37	21	and	and	CCONJ
cana-6006	37	22	real	real	ADJ
cana-6006	37	23	-	-	PUNCT
cana-6006	37	24	time	time	NOUN
cana-6006	37	25	pipelines	pipeline	NOUN
cana-6006	37	26	.	.	PUNCT
cana-6006	38	1	however	however	ADV
cana-6006	38	2	,	,	PUNCT
cana-6006	38	3	limitations	limitation	NOUN
cana-6006	38	4	include	include	VERB
cana-6006	38	5	dataset	dataset	NOUN
cana-6006	38	6	homogeneity	homogeneity	NOUN
cana-6006	38	7	and	and	CCONJ
cana-6006	38	8	the	the	DET
cana-6006	38	9	lack	lack	NOUN
cana-6006	38	10	of	of	ADP
cana-6006	38	11	3d	3d	NUM
cana-6006	38	12	or	or	CCONJ
cana-6006	38	13	multimodal	multimodal	NOUN
cana-6006	38	14	data	datum	NOUN
cana-6006	38	15	utilization	utilization	NOUN
cana-6006	38	16	,	,	PUNCT
cana-6006	38	17	which	which	PRON
cana-6006	38	18	may	may	AUX
cana-6006	38	19	affect	affect	VERB
cana-6006	38	20	generalizability	generalizability	NOUN
cana-6006	38	21	.	.	PUNCT
cana-6006	39	1	keywords	keyword	NOUN
cana-6006	39	2	:	:	PUNCT
cana-6006	39	3	brain	brain	NOUN
cana-6006	39	4	hemorrhage	hemorrhage	NOUN
cana-6006	39	5	,	,	PUNCT
cana-6006	39	6	deep	deep	ADJ
cana-6006	39	7	learning	learning	NOUN
cana-6006	39	8	,	,	PUNCT
cana-6006	39	9	resnet-50	resnet-50	NOUN
cana-6006	39	10	,	,	PUNCT
cana-6006	39	11	squeeze	squeeze	NOUN
cana-6006	39	12	-	-	PUNCT
cana-6006	39	13	and	and	CCONJ
cana-6006	39	14	-	-	PUNCT
cana-6006	39	15	excitation	excitation	NOUN
cana-6006	39	16	blocks	block	NOUN
cana-6006	39	17	,	,	PUNCT
cana-6006	39	18	u	u	NOUN
cana-6006	39	19	-	-	ADJ
cana-6006	39	20	net	net	ADJ
cana-6006	39	21	segmentation	segmentation	NOUN
cana-6006	39	22	,	,	PUNCT
cana-6006	39	23	mri	mri	NOUN
cana-6006	39	24	imaging	imaging	NOUN
cana-6006	39	25	,	,	PUNCT
cana-6006	39	26	medical	medical	ADJ
cana-6006	39	27	diagnosis	diagnosis	NOUN
cana-6006	39	28	,	,	PUNCT
cana-6006	39	29	multi	multi	ADJ
cana-6006	39	30	-	-	ADJ
cana-6006	39	31	class	class	ADJ
cana-6006	39	32	classification	classification	NOUN
cana-6006	39	33	communications	communication	NOUN
cana-6006	39	34	on	on	ADP
cana-6006	39	35	applied	apply	VERB
cana-6006	39	36	nonlinear	nonlinear	ADJ
cana-6006	39	37	analysis	analysis	NOUN
cana-6006	39	38	issn	issn	NOUN
cana-6006	39	39	:	:	PUNCT
cana-6006	39	40	1074	1074	NUM
cana-6006	39	41	-	-	PUNCT
cana-6006	39	42	133x	133x	NUM
cana-6006	39	43	vol	vol	VERB
cana-6006	39	44	32	32	NUM
cana-6006	39	45	no	no	NOUN
cana-6006	39	46	.	.	PUNCT
cana-6006	40	1	10s	10	NOUN
cana-6006	40	2	(	(	PUNCT
cana-6006	40	3	2025	2025	NUM
cana-6006	40	4	)	)	PUNCT
cana-6006	40	5	3203	3203	NUM
cana-6006	40	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6006	40	7	imaging	imaging	NOUN
cana-6006	40	8	data	datum	NOUN
cana-6006	40	9	and	and	CCONJ
cana-6006	40	10	computational	computational	ADJ
cana-6006	40	11	resources	resource	NOUN
cana-6006	40	12	,	,	PUNCT
cana-6006	40	13	deep	deep	ADJ
cana-6006	40	14	learning	learning	NOUN
cana-6006	40	15	has	have	AUX
cana-6006	40	16	been	be	AUX
cana-6006	40	17	proposed	propose	VERB
cana-6006	40	18	as	as	ADP
cana-6006	40	19	an	an	DET
cana-6006	40	20	effective	effective	ADJ
cana-6006	40	21	answer	answer	NOUN
cana-6006	40	22	to	to	PART
cana-6006	40	23	automate	automate	VERB
cana-6006	40	24	and	and	CCONJ
cana-6006	40	25	improve	improve	VERB
cana-6006	40	26	brain	brain	NOUN
cana-6006	40	27	haemorrhage	haemorrhage	NOUN
cana-6006	40	28	detection	detection	NOUN
cana-6006	40	29	.	.	PUNCT
cana-6006	41	1	specifically	specifically	ADV
cana-6006	41	2	,	,	PUNCT
cana-6006	41	3	convolutional	convolutional	ADJ
cana-6006	41	4	neural	neural	ADJ
cana-6006	41	5	networks	network	NOUN
cana-6006	41	6	(	(	PUNCT
cana-6006	41	7	cnns	cnns	PROPN
cana-6006	41	8	)	)	PUNCT
cana-6006	41	9	have	have	AUX
cana-6006	41	10	demonstrated	demonstrate	VERB
cana-6006	41	11	strong	strong	ADJ
cana-6006	41	12	performance	performance	NOUN
cana-6006	41	13	in	in	ADP
cana-6006	41	14	recognizing	recognize	VERB
cana-6006	41	15	complex	complex	ADJ
cana-6006	41	16	patterns	pattern	NOUN
cana-6006	41	17	in	in	ADP
cana-6006	41	18	mri	mri	NOUN
cana-6006	41	19	scans	scan	NOUN
cana-6006	41	20	,	,	PUNCT
cana-6006	41	21	providing	provide	VERB
cana-6006	41	22	remarkable	remarkable	ADJ
cana-6006	41	23	improvements	improvement	NOUN
cana-6006	41	24	over	over	ADP
cana-6006	41	25	rule	rule	NOUN
cana-6006	41	26	-	-	PUNCT
cana-6006	41	27	based	base	VERB
cana-6006	41	28	or	or	CCONJ
cana-6006	41	29	manual	manual	ADJ
cana-6006	41	30	approaches	approach	NOUN
cana-6006	41	31	[	[	X
cana-6006	41	32	2	2	NUM
cana-6006	41	33	]	]	PUNCT
cana-6006	41	34	.	.	PUNCT
cana-6006	42	1	nevertheless	nevertheless	ADV
cana-6006	42	2	,	,	PUNCT
cana-6006	42	3	a	a	DET
cana-6006	42	4	number	number	NOUN
cana-6006	42	5	of	of	ADP
cana-6006	42	6	challenges	challenge	NOUN
cana-6006	42	7	remain	remain	VERB
cana-6006	42	8	open	open	ADJ
cana-6006	42	9	in	in	ADP
cana-6006	42	10	existing	exist	VERB
cana-6006	42	11	literature	literature	NOUN
cana-6006	42	12	.	.	PUNCT
cana-6006	43	1	most	most	ADJ
cana-6006	43	2	current	current	ADJ
cana-6006	43	3	models	model	NOUN
cana-6006	43	4	are	be	AUX
cana-6006	43	5	trained	train	VERB
cana-6006	43	6	on	on	ADP
cana-6006	43	7	small	small	ADJ
cana-6006	43	8	or	or	CCONJ
cana-6006	43	9	unbalanced	unbalanced	ADJ
cana-6006	43	10	datasets	dataset	NOUN
cana-6006	43	11	,	,	PUNCT
cana-6006	43	12	which	which	PRON
cana-6006	43	13	may	may	AUX
cana-6006	43	14	restrict	restrict	VERB
cana-6006	43	15	generalizability	generalizability	NOUN
cana-6006	43	16	and	and	CCONJ
cana-6006	43	17	result	result	NOUN
cana-6006	43	18	in	in	ADP
cana-6006	43	19	overfitting	overfitte	VERB
cana-6006	43	20	[	[	X
cana-6006	43	21	3	3	NUM
cana-6006	43	22	]	]	PUNCT
cana-6006	43	23	.	.	PUNCT
cana-6006	44	1	moreover	moreover	ADV
cana-6006	44	2	,	,	PUNCT
cana-6006	44	3	the	the	DET
cana-6006	44	4	majority	majority	NOUN
cana-6006	44	5	of	of	ADP
cana-6006	44	6	the	the	DET
cana-6006	44	7	research	research	NOUN
cana-6006	44	8	focuses	focus	VERB
cana-6006	44	9	on	on	ADP
cana-6006	44	10	binary	binary	ADJ
cana-6006	44	11	classification	classification	NOUN
cana-6006	44	12	(	(	PUNCT
cana-6006	44	13	haemorrhage	haemorrhage	NOUN
cana-6006	44	14	or	or	CCONJ
cana-6006	44	15	no	no	DET
cana-6006	44	16	haemorrhage	haemorrhage	NOUN
cana-6006	44	17	)	)	PUNCT
cana-6006	44	18	and	and	CCONJ
cana-6006	44	19	does	do	AUX
cana-6006	44	20	not	not	PART
cana-6006	44	21	address	address	VERB
cana-6006	44	22	the	the	DET
cana-6006	44	23	subtlety	subtlety	NOUN
cana-6006	44	24	of	of	ADP
cana-6006	44	25	subtypes	subtype	NOUN
cana-6006	44	26	or	or	CCONJ
cana-6006	44	27	the	the	DET
cana-6006	44	28	development	development	NOUN
cana-6006	44	29	of	of	ADP
cana-6006	44	30	haemorrhage	haemorrhage	NOUN
cana-6006	44	31	[	[	X
cana-6006	44	32	4	4	NUM
cana-6006	44	33	]	]	PUNCT
cana-6006	44	34	.	.	PUNCT
cana-6006	45	1	a	a	DET
cana-6006	45	2	further	further	ADJ
cana-6006	45	3	issue	issue	NOUN
cana-6006	45	4	is	be	AUX
cana-6006	45	5	that	that	SCONJ
cana-6006	45	6	there	there	PRON
cana-6006	45	7	is	be	VERB
cana-6006	45	8	a	a	DET
cana-6006	45	9	lack	lack	NOUN
cana-6006	45	10	of	of	ADP
cana-6006	45	11	interpretability	interpretability	NOUN
cana-6006	45	12	in	in	ADP
cana-6006	45	13	deep	deep	ADJ
cana-6006	45	14	models	model	NOUN
cana-6006	45	15	,	,	PUNCT
cana-6006	45	16	which	which	PRON
cana-6006	45	17	makes	make	VERB
cana-6006	45	18	it	it	PRON
cana-6006	45	19	challenging	challenge	VERB
cana-6006	45	20	for	for	SCONJ
cana-6006	45	21	physicians	physician	NOUN
cana-6006	45	22	to	to	PART
cana-6006	45	23	believe	believe	VERB
cana-6006	45	24	and	and	CCONJ
cana-6006	45	25	embrace	embrace	VERB
cana-6006	45	26	such	such	ADJ
cana-6006	45	27	tools	tool	NOUN
cana-6006	45	28	in	in	ADP
cana-6006	45	29	clinical	clinical	ADJ
cana-6006	45	30	practice	practice	NOUN
cana-6006	46	1	[	[	X
cana-6006	46	2	5	5	NUM
cana-6006	46	3	]	]	PUNCT
cana-6006	46	4	.	.	PUNCT
cana-6006	47	1	data	data	NOUN
cana-6006	47	2	-	-	PUNCT
cana-6006	47	3	sharing	sharing	NOUN
cana-6006	47	4	and	and	CCONJ
cana-6006	47	5	privacy	privacy	NOUN
cana-6006	47	6	legislations	legislation	NOUN
cana-6006	47	7	also	also	ADV
cana-6006	47	8	limit	limit	VERB
cana-6006	47	9	access	access	NOUN
cana-6006	47	10	to	to	ADP
cana-6006	47	11	big	big	ADJ
cana-6006	47	12	,	,	PUNCT
cana-6006	47	13	multi	multi	ADJ
cana-6006	47	14	-	-	ADJ
cana-6006	47	15	center	center	ADJ
cana-6006	47	16	datasets	dataset	NOUN
cana-6006	47	17	,	,	PUNCT
cana-6006	47	18	which	which	PRON
cana-6006	47	19	are	be	AUX
cana-6006	47	20	needed	need	VERB
cana-6006	47	21	for	for	ADP
cana-6006	47	22	strong	strong	ADJ
cana-6006	47	23	model	model	NOUN
cana-6006	47	24	training	training	NOUN
cana-6006	47	25	[	[	X
cana-6006	47	26	6	6	NUM
cana-6006	47	27	]	]	PUNCT
cana-6006	47	28	.	.	PUNCT
cana-6006	48	1	secondly	secondly	ADV
cana-6006	48	2	,	,	PUNCT
cana-6006	48	3	real	real	ADJ
cana-6006	48	4	-	-	PUNCT
cana-6006	48	5	time	time	NOUN
cana-6006	48	6	deployment	deployment	NOUN
cana-6006	48	7	of	of	ADP
cana-6006	48	8	deep	deep	ADJ
cana-6006	48	9	neural	neural	ADJ
cana-6006	48	10	networks	network	NOUN
cana-6006	48	11	is	be	AUX
cana-6006	48	12	still	still	ADV
cana-6006	48	13	a	a	DET
cana-6006	48	14	technical	technical	ADJ
cana-6006	48	15	hurdle	hurdle	NOUN
cana-6006	48	16	owing	owe	VERB
cana-6006	48	17	to	to	ADP
cana-6006	48	18	the	the	DET
cana-6006	48	19	high	high	ADJ
cana-6006	48	20	computational	computational	ADJ
cana-6006	48	21	needs	need	NOUN
cana-6006	48	22	of	of	ADP
cana-6006	48	23	most	most	ADJ
cana-6006	48	24	architectures	architecture	NOUN
cana-6006	48	25	[	[	X
cana-6006	48	26	7	7	NUM
cana-6006	48	27	]	]	PUNCT
cana-6006	48	28	.	.	PUNCT
cana-6006	49	1	our	our	PRON
cana-6006	49	2	research	research	NOUN
cana-6006	49	3	addresses	address	VERB
cana-6006	49	4	these	these	DET
cana-6006	49	5	limitations	limitation	NOUN
cana-6006	49	6	by	by	ADP
cana-6006	49	7	developing	develop	VERB
cana-6006	49	8	a	a	DET
cana-6006	49	9	strong	strong	ADJ
cana-6006	49	10	deep	deep	ADJ
cana-6006	49	11	learning	learning	NOUN
cana-6006	49	12	-	-	PUNCT
cana-6006	49	13	based	base	VERB
cana-6006	49	14	framework	framework	NOUN
cana-6006	49	15	for	for	ADP
cana-6006	49	16	predicting	predict	VERB
cana-6006	49	17	brain	brain	NOUN
cana-6006	49	18	haemorrhage	haemorrhage	NOUN
cana-6006	49	19	from	from	ADP
cana-6006	49	20	optimized	optimize	VERB
cana-6006	49	21	cnn	cnn	PROPN
cana-6006	49	22	models	model	NOUN
cana-6006	49	23	as	as	ADV
cana-6006	49	24	well	well	ADV
cana-6006	49	25	as	as	ADP
cana-6006	49	26	improved	improve	VERB
cana-6006	49	27	data	datum	NOUN
cana-6006	49	28	preprocessing	preprocessing	NOUN
cana-6006	49	29	mechanisms	mechanism	NOUN
cana-6006	49	30	.	.	PUNCT
cana-6006	50	1	the	the	DET
cana-6006	50	2	goal	goal	NOUN
cana-6006	50	3	is	be	AUX
cana-6006	50	4	to	to	PART
cana-6006	50	5	enhance	enhance	VERB
cana-6006	50	6	diagnostic	diagnostic	ADJ
cana-6006	50	7	precision	precision	NOUN
cana-6006	50	8	,	,	PUNCT
cana-6006	50	9	model	model	NOUN
cana-6006	50	10	interpretability	interpretability	NOUN
cana-6006	50	11	,	,	PUNCT
cana-6006	50	12	and	and	CCONJ
cana-6006	50	13	clinical	clinical	ADJ
cana-6006	50	14	applicability	applicability	NOUN
cana-6006	50	15	,	,	PUNCT
cana-6006	50	16	leading	lead	VERB
cana-6006	50	17	the	the	DET
cana-6006	50	18	way	way	NOUN
cana-6006	50	19	towards	towards	ADP
cana-6006	50	20	real	real	ADJ
cana-6006	50	21	-	-	PUNCT
cana-6006	50	22	time	time	NOUN
cana-6006	50	23	,	,	PUNCT
cana-6006	50	24	ai	ai	VERB
cana-6006	50	25	-	-	PUNCT
cana-6006	50	26	supported	support	VERB
cana-6006	50	27	medical	medical	ADJ
cana-6006	50	28	decision	decision	NOUN
cana-6006	50	29	-	-	PUNCT
cana-6006	50	30	making	making	NOUN
cana-6006	50	31	.	.	PUNCT
cana-6006	51	1	the	the	DET
cana-6006	51	2	present	present	ADJ
cana-6006	51	3	research	research	NOUN
cana-6006	51	4	is	be	AUX
cana-6006	51	5	an	an	DET
cana-6006	51	6	attempt	attempt	NOUN
cana-6006	51	7	to	to	PART
cana-6006	51	8	develop	develop	VERB
cana-6006	51	9	and	and	CCONJ
cana-6006	51	10	test	test	VERB
cana-6006	51	11	a	a	DET
cana-6006	51	12	deep	deep	ADJ
cana-6006	51	13	learning	learning	NOUN
cana-6006	51	14	-	-	PUNCT
cana-6006	51	15	based	base	VERB
cana-6006	51	16	framework	framework	NOUN
cana-6006	51	17	for	for	ADP
cana-6006	51	18	early	early	ADJ
cana-6006	51	19	and	and	CCONJ
cana-6006	51	20	accurate	accurate	ADJ
cana-6006	51	21	prediction	prediction	NOUN
cana-6006	51	22	of	of	ADP
cana-6006	51	23	brain	brain	NOUN
cana-6006	51	24	haemorrhage	haemorrhage	NOUN
cana-6006	51	25	based	base	VERB
cana-6006	51	26	on	on	ADP
cana-6006	51	27	medical	medical	ADJ
cana-6006	51	28	imaging	imaging	NOUN
cana-6006	51	29	data	datum	NOUN
cana-6006	51	30	,	,	PUNCT
cana-6006	51	31	especially	especially	ADV
cana-6006	51	32	ct	ct	NUM
cana-6006	51	33	scans	scan	NOUN
cana-6006	51	34	and	and	CCONJ
cana-6006	51	35	mri	mri	NOUN
cana-6006	51	36	scans	scan	NOUN
cana-6006	51	37	.	.	PUNCT
cana-6006	52	1	the	the	DET
cana-6006	52	2	main	main	ADJ
cana-6006	52	3	focus	focus	NOUN
cana-6006	52	4	of	of	ADP
cana-6006	52	5	the	the	DET
cana-6006	52	6	research	research	NOUN
cana-6006	52	7	is	be	AUX
cana-6006	52	8	to	to	PART
cana-6006	52	9	investigate	investigate	VERB
cana-6006	52	10	and	and	CCONJ
cana-6006	52	11	deploy	deploy	VERB
cana-6006	52	12	stateof	stateof	ADJ
cana-6006	52	13	-	-	PUNCT
cana-6006	52	14	the	the	DET
cana-6006	52	15	-	-	PUNCT
cana-6006	52	16	art	art	NOUN
cana-6006	52	17	convolutional	convolutional	ADJ
cana-6006	52	18	neural	neural	ADJ
cana-6006	52	19	networks	network	NOUN
cana-6006	52	20	(	(	PUNCT
cana-6006	52	21	cnns	cnns	PROPN
cana-6006	52	22	)	)	PUNCT
cana-6006	52	23	and	and	CCONJ
cana-6006	52	24	hybrid	hybrid	ADJ
cana-6006	52	25	deep	deep	ADJ
cana-6006	52	26	learning	learning	NOUN
cana-6006	52	27	models	model	NOUN
cana-6006	52	28	that	that	PRON
cana-6006	52	29	have	have	VERB
cana-6006	52	30	the	the	DET
cana-6006	52	31	capability	capability	NOUN
cana-6006	52	32	to	to	PART
cana-6006	52	33	automatically	automatically	ADV
cana-6006	52	34	identify	identify	VERB
cana-6006	52	35	haemorrhagic	haemorrhagic	ADJ
cana-6006	52	36	patterns	pattern	NOUN
cana-6006	52	37	with	with	ADP
cana-6006	52	38	high	high	ADJ
cana-6006	52	39	accuracy	accuracy	NOUN
cana-6006	52	40	,	,	PUNCT
cana-6006	52	41	sensitivity	sensitivity	NOUN
cana-6006	52	42	,	,	PUNCT
cana-6006	52	43	and	and	CCONJ
cana-6006	52	44	specificity	specificity	NOUN
cana-6006	52	45	.	.	PUNCT
cana-6006	53	1	by	by	ADP
cana-6006	53	2	leveraging	leverage	VERB
cana-6006	53	3	data	datum	NOUN
cana-6006	53	4	augmentation	augmentation	NOUN
cana-6006	53	5	,	,	PUNCT
cana-6006	53	6	transfer	transfer	NOUN
cana-6006	53	7	learning	learning	NOUN
cana-6006	53	8	,	,	PUNCT
cana-6006	53	9	and	and	CCONJ
cana-6006	53	10	model	model	NOUN
cana-6006	53	11	optimisation	optimisation	NOUN
cana-6006	53	12	techniques	technique	NOUN
cana-6006	53	13	,	,	PUNCT
cana-6006	53	14	this	this	DET
cana-6006	53	15	study	study	NOUN
cana-6006	53	16	seeks	seek	VERB
cana-6006	53	17	to	to	PART
cana-6006	53	18	overcome	overcome	VERB
cana-6006	53	19	the	the	DET
cana-6006	53	20	limitations	limitation	NOUN
cana-6006	53	21	of	of	ADP
cana-6006	53	22	traditional	traditional	ADJ
cana-6006	53	23	diagnostic	diagnostic	ADJ
cana-6006	53	24	approaches	approach	NOUN
cana-6006	53	25	and	and	CCONJ
cana-6006	53	26	contribute	contribute	VERB
cana-6006	53	27	to	to	ADP
cana-6006	53	28	realtime	realtime	NOUN
cana-6006	53	29	,	,	PUNCT
cana-6006	53	30	ai	ai	VERB
cana-6006	53	31	-	-	PUNCT
cana-6006	53	32	assisted	assist	VERB
cana-6006	53	33	medical	medical	ADJ
cana-6006	53	34	diagnosis	diagnosis	NOUN
cana-6006	53	35	systems	system	NOUN
cana-6006	53	36	.	.	PUNCT
cana-6006	54	1	this	this	DET
cana-6006	54	2	work	work	NOUN
cana-6006	54	3	is	be	AUX
cana-6006	54	4	important	important	ADJ
cana-6006	54	5	because	because	SCONJ
cana-6006	54	6	it	it	PRON
cana-6006	54	7	not	not	PART
cana-6006	54	8	only	only	ADV
cana-6006	54	9	addresses	address	VERB
cana-6006	54	10	technical	technical	ADJ
cana-6006	54	11	aspects	aspect	NOUN
cana-6006	54	12	such	such	ADJ
cana-6006	54	13	as	as	ADP
cana-6006	54	14	model	model	NOUN
cana-6006	54	15	performance	performance	NOUN
cana-6006	54	16	and	and	CCONJ
cana-6006	54	17	computational	computational	ADJ
cana-6006	54	18	costs	cost	NOUN
cana-6006	54	19	but	but	CCONJ
cana-6006	54	20	also	also	ADV
cana-6006	54	21	explores	explore	VERB
cana-6006	54	22	ethical	ethical	ADJ
cana-6006	54	23	issues	issue	NOUN
cana-6006	54	24	,	,	PUNCT
cana-6006	54	25	including	include	VERB
cana-6006	54	26	explainability	explainability	NOUN
cana-6006	54	27	,	,	PUNCT
cana-6006	54	28	fairness	fairness	NOUN
cana-6006	54	29	,	,	PUNCT
cana-6006	54	30	and	and	CCONJ
cana-6006	54	31	data	datum	NOUN
cana-6006	54	32	privacy	privacy	NOUN
cana-6006	54	33	,	,	PUNCT
cana-6006	54	34	for	for	ADP
cana-6006	54	35	the	the	DET
cana-6006	54	36	deployment	deployment	NOUN
cana-6006	54	37	of	of	ADP
cana-6006	54	38	ai	ai	NOUN
cana-6006	54	39	in	in	ADP
cana-6006	54	40	medicine	medicine	NOUN
cana-6006	54	41	.	.	PUNCT
cana-6006	55	1	it	it	PRON
cana-6006	55	2	emphasizes	emphasize	VERB
cana-6006	55	3	the	the	DET
cana-6006	55	4	need	need	NOUN
cana-6006	55	5	for	for	ADP
cana-6006	55	6	developing	develop	VERB
cana-6006	55	7	clinically	clinically	ADV
cana-6006	55	8	appropriate	appropriate	ADJ
cana-6006	55	9	ai	ai	NOUN
cana-6006	55	10	tools	tool	NOUN
cana-6006	55	11	that	that	PRON
cana-6006	55	12	are	be	AUX
cana-6006	55	13	trustworthy	trustworthy	ADJ
cana-6006	55	14	and	and	CCONJ
cana-6006	55	15	adoptable	adoptable	ADJ
cana-6006	55	16	by	by	ADP
cana-6006	55	17	medical	medical	ADJ
cana-6006	55	18	practitioners	practitioner	NOUN
cana-6006	55	19	.	.	PUNCT
cana-6006	56	1	the	the	DET
cana-6006	56	2	contributions	contribution	NOUN
cana-6006	56	3	of	of	ADP
cana-6006	56	4	this	this	DET
cana-6006	56	5	work	work	NOUN
cana-6006	56	6	are	be	AUX
cana-6006	56	7	the	the	DET
cana-6006	56	8	development	development	NOUN
cana-6006	56	9	and	and	CCONJ
cana-6006	56	10	training	training	NOUN
cana-6006	56	11	of	of	ADP
cana-6006	56	12	an	an	DET
cana-6006	56	13	optimized	optimize	VERB
cana-6006	56	14	cnn	cnn	PROPN
cana-6006	56	15	-	-	PUNCT
cana-6006	56	16	based	base	VERB
cana-6006	56	17	model	model	NOUN
cana-6006	56	18	to	to	PART
cana-6006	56	19	predict	predict	VERB
cana-6006	56	20	brain	brain	NOUN
cana-6006	56	21	haemorrhage	haemorrhage	NOUN
cana-6006	56	22	;	;	PUNCT
cana-6006	56	23	performance	performance	NOUN
cana-6006	56	24	comparison	comparison	NOUN
cana-6006	56	25	with	with	ADP
cana-6006	56	26	baseline	baseline	ADJ
cana-6006	56	27	methods	method	NOUN
cana-6006	56	28	;	;	PUNCT
cana-6006	56	29	use	use	NOUN
cana-6006	56	30	of	of	ADP
cana-6006	56	31	methods	method	NOUN
cana-6006	56	32	such	such	ADJ
cana-6006	56	33	as	as	ADP
cana-6006	56	34	grad	grad	NOUN
cana-6006	56	35	-	-	PUNCT
cana-6006	56	36	cam	cam	NOUN
cana-6006	56	37	for	for	ADP
cana-6006	56	38	model	model	NOUN
cana-6006	56	39	interpretability	interpretability	NOUN
cana-6006	56	40	;	;	PUNCT
cana-6006	56	41	and	and	CCONJ
cana-6006	56	42	a	a	DET
cana-6006	56	43	discussion	discussion	NOUN
cana-6006	56	44	of	of	ADP
cana-6006	56	45	the	the	DET
cana-6006	56	46	potential	potential	NOUN
cana-6006	56	47	for	for	ADP
cana-6006	56	48	real	real	ADJ
cana-6006	56	49	-	-	PUNCT
cana-6006	56	50	time	time	NOUN
cana-6006	56	51	deployment	deployment	NOUN
cana-6006	56	52	of	of	ADP
cana-6006	56	53	such	such	ADJ
cana-6006	56	54	models	model	NOUN
cana-6006	56	55	in	in	ADP
cana-6006	56	56	clinical	clinical	ADJ
cana-6006	56	57	practice	practice	NOUN
cana-6006	56	58	.	.	PUNCT
cana-6006	57	1	in	in	ADP
cana-6006	57	2	addition	addition	NOUN
cana-6006	57	3	,	,	PUNCT
cana-6006	57	4	the	the	DET
cana-6006	57	5	research	research	NOUN
cana-6006	57	6	points	point	VERB
cana-6006	57	7	out	out	ADP
cana-6006	57	8	existing	exist	VERB
cana-6006	57	9	research	research	NOUN
cana-6006	57	10	gaps	gap	NOUN
cana-6006	57	11	and	and	CCONJ
cana-6006	57	12	provides	provide	VERB
cana-6006	57	13	avenues	avenue	NOUN
cana-6006	57	14	for	for	ADP
cana-6006	57	15	future	future	ADJ
cana-6006	57	16	investigation	investigation	NOUN
cana-6006	57	17	,	,	PUNCT
cana-6006	57	18	including	include	VERB
cana-6006	57	19	multimodal	multimodal	NOUN
cana-6006	57	20	data	datum	NOUN
cana-6006	57	21	fusion	fusion	NOUN
cana-6006	57	22	,	,	PUNCT
cana-6006	57	23	federated	federated	ADJ
cana-6006	57	24	learning	learning	NOUN
cana-6006	57	25	,	,	PUNCT
cana-6006	57	26	and	and	CCONJ
cana-6006	57	27	lightweight	lightweight	ADJ
cana-6006	57	28	edge	edge	NOUN
cana-6006	57	29	-	-	PUNCT
cana-6006	57	30	ai	ai	NOUN
cana-6006	57	31	integration	integration	NOUN
cana-6006	57	32	.	.	PUNCT
cana-6006	58	1	the	the	DET
cana-6006	58	2	structure	structure	NOUN
cana-6006	58	3	of	of	ADP
cana-6006	58	4	this	this	DET
cana-6006	58	5	paper	paper	NOUN
cana-6006	58	6	is	be	AUX
cana-6006	58	7	as	as	SCONJ
cana-6006	58	8	follows	follow	VERB
cana-6006	58	9	:	:	PUNCT
cana-6006	58	10	the	the	DET
cana-6006	58	11	introduction	introduction	NOUN
cana-6006	58	12	gives	give	VERB
cana-6006	58	13	the	the	DET
cana-6006	58	14	background	background	NOUN
cana-6006	58	15	,	,	PUNCT
cana-6006	58	16	challenges	challenge	NOUN
cana-6006	58	17	,	,	PUNCT
cana-6006	58	18	and	and	CCONJ
cana-6006	58	19	justification	justification	NOUN
cana-6006	58	20	for	for	ADP
cana-6006	58	21	the	the	DET
cana-6006	58	22	study	study	NOUN
cana-6006	58	23	;	;	PUNCT
cana-6006	58	24	the	the	DET
cana-6006	58	25	related	related	ADJ
cana-6006	58	26	work	work	NOUN
cana-6006	58	27	section	section	NOUN
cana-6006	58	28	identifies	identify	VERB
cana-6006	58	29	the	the	DET
cana-6006	58	30	recent	recent	ADJ
cana-6006	58	31	advancements	advancement	NOUN
cana-6006	58	32	and	and	CCONJ
cana-6006	58	33	major	major	ADJ
cana-6006	58	34	contributions	contribution	NOUN
cana-6006	58	35	in	in	ADP
cana-6006	58	36	the	the	DET
cana-6006	58	37	area	area	NOUN
cana-6006	58	38	of	of	ADP
cana-6006	58	39	brain	brain	NOUN
cana-6006	58	40	haemorrhage	haemorrhage	NOUN
cana-6006	58	41	detection	detection	NOUN
cana-6006	58	42	with	with	ADP
cana-6006	58	43	ai	ai	NOUN
cana-6006	58	44	;	;	PUNCT
cana-6006	58	45	the	the	DET
cana-6006	58	46	methodology	methodology	NOUN
cana-6006	58	47	describes	describe	VERB
cana-6006	58	48	the	the	DET
cana-6006	58	49	proposed	propose	VERB
cana-6006	58	50	deep	deep	ADJ
cana-6006	58	51	learning	learning	NOUN
cana-6006	58	52	architecture	architecture	NOUN
cana-6006	58	53	,	,	PUNCT
cana-6006	58	54	including	include	VERB
cana-6006	58	55	the	the	DET
cana-6006	58	56	dataset	dataset	NOUN
cana-6006	58	57	preparation	preparation	NOUN
cana-6006	58	58	,	,	PUNCT
cana-6006	58	59	model	model	NOUN
cana-6006	58	60	architecture	architecture	NOUN
cana-6006	58	61	,	,	PUNCT
cana-6006	58	62	and	and	CCONJ
cana-6006	58	63	evaluation	evaluation	NOUN
cana-6006	58	64	metrics	metric	NOUN
cana-6006	58	65	;	;	PUNCT
cana-6006	58	66	the	the	DET
cana-6006	58	67	discussion	discussion	NOUN
cana-6006	58	68	presents	present	VERB
cana-6006	58	69	the	the	DET
cana-6006	58	70	results	result	NOUN
cana-6006	58	71	interpretation	interpretation	NOUN
cana-6006	58	72	and	and	CCONJ
cana-6006	58	73	analysis	analysis	NOUN
cana-6006	58	74	of	of	ADP
cana-6006	58	75	the	the	DET
cana-6006	58	76	implications	implication	NOUN
cana-6006	58	77	;	;	PUNCT
cana-6006	58	78	and	and	CCONJ
cana-6006	58	79	lastly	lastly	ADV
cana-6006	58	80	,	,	PUNCT
cana-6006	58	81	the	the	DET
cana-6006	58	82	conclusion	conclusion	NOUN
cana-6006	58	83	summarizes	summarize	VERB
cana-6006	58	84	the	the	DET
cana-6006	58	85	findings	finding	NOUN
cana-6006	58	86	and	and	CCONJ
cana-6006	58	87	suggests	suggest	VERB
cana-6006	58	88	future	future	ADJ
cana-6006	58	89	research	research	NOUN
cana-6006	58	90	directions	direction	NOUN
cana-6006	58	91	.	.	PUNCT
cana-6006	59	1	communications	communication	NOUN
cana-6006	59	2	on	on	ADP
cana-6006	59	3	applied	apply	VERB
cana-6006	59	4	nonlinear	nonlinear	ADJ
cana-6006	59	5	analysis	analysis	NOUN
cana-6006	59	6	issn	issn	NOUN
cana-6006	59	7	:	:	PUNCT
cana-6006	59	8	1074	1074	NUM
cana-6006	59	9	-	-	PUNCT
cana-6006	59	10	133x	133x	NUM
cana-6006	59	11	vol	vol	VERB
cana-6006	59	12	32	32	NUM
cana-6006	59	13	no	no	NOUN
cana-6006	59	14	.	.	PUNCT
cana-6006	60	1	10s	10	NOUN
cana-6006	60	2	(	(	PUNCT
cana-6006	60	3	2025	2025	NUM
cana-6006	60	4	)	)	PUNCT
cana-6006	60	5	3204	3204	NUM
cana-6006	60	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6006	60	7	2	2	X
cana-6006	60	8	.	.	X
cana-6006	60	9	literature	literature	NOUN
cana-6006	60	10	review	review	NOUN
cana-6006	60	11	in	in	ADP
cana-6006	60	12	recent	recent	ADJ
cana-6006	60	13	years	year	NOUN
cana-6006	60	14	,	,	PUNCT
cana-6006	60	15	advancements	advancement	NOUN
cana-6006	60	16	in	in	ADP
cana-6006	60	17	deep	deep	ADJ
cana-6006	60	18	learning	learning	NOUN
cana-6006	60	19	(	(	PUNCT
cana-6006	60	20	ml	ml	NOUN
cana-6006	60	21	)	)	PUNCT
cana-6006	60	22	have	have	AUX
cana-6006	60	23	demonstrated	demonstrate	VERB
cana-6006	60	24	significant	significant	ADJ
cana-6006	60	25	potential	potential	NOUN
cana-6006	60	26	in	in	ADP
cana-6006	60	27	the	the	DET
cana-6006	60	28	field	field	NOUN
cana-6006	60	29	of	of	ADP
cana-6006	60	30	brain	brain	NOUN
cana-6006	60	31	hemorrhage	hemorrhage	NOUN
cana-6006	60	32	detection	detection	NOUN
cana-6006	60	33	,	,	PUNCT
cana-6006	60	34	enhancing	enhance	VERB
cana-6006	60	35	diagnostic	diagnostic	ADJ
cana-6006	60	36	accuracy	accuracy	NOUN
cana-6006	60	37	and	and	CCONJ
cana-6006	60	38	supporting	support	VERB
cana-6006	60	39	rapid	rapid	ADJ
cana-6006	60	40	clinical	clinical	ADJ
cana-6006	60	41	decision	decision	NOUN
cana-6006	60	42	-	-	PUNCT
cana-6006	60	43	making	making	NOUN
cana-6006	60	44	.	.	PUNCT
cana-6006	61	1	alom	alom	NOUN
cana-6006	61	2	et	et	PROPN
cana-6006	61	3	al	al	PROPN
cana-6006	61	4	.	.	PUNCT
cana-6006	62	1	[	[	X
cana-6006	62	2	1	1	X
cana-6006	62	3	]	]	PUNCT
cana-6006	62	4	developed	develop	VERB
cana-6006	62	5	a	a	DET
cana-6006	62	6	deep	deep	ADJ
cana-6006	62	7	convolutional	convolutional	ADJ
cana-6006	62	8	neural	neural	ADJ
cana-6006	62	9	network	network	NOUN
cana-6006	62	10	(	(	PUNCT
cana-6006	62	11	cnn	cnn	PROPN
cana-6006	62	12	)	)	PUNCT
cana-6006	62	13	model	model	NOUN
cana-6006	62	14	using	use	VERB
cana-6006	62	15	u	u	NOUN
cana-6006	62	16	-	-	ADJ
cana-6006	62	17	net	net	ADJ
cana-6006	62	18	architecture	architecture	NOUN
cana-6006	62	19	for	for	ADP
cana-6006	62	20	automatic	automatic	ADJ
cana-6006	62	21	segmentation	segmentation	NOUN
cana-6006	62	22	of	of	ADP
cana-6006	62	23	haemorrhagic	haemorrhagic	ADJ
cana-6006	62	24	regions	region	NOUN
cana-6006	62	25	in	in	ADP
cana-6006	62	26	brain	brain	NOUN
cana-6006	62	27	scans	scan	NOUN
cana-6006	62	28	,	,	PUNCT
cana-6006	62	29	achieving	achieve	VERB
cana-6006	62	30	high	high	ADJ
cana-6006	62	31	precision	precision	NOUN
cana-6006	62	32	and	and	CCONJ
cana-6006	62	33	sensitivity	sensitivity	NOUN
cana-6006	62	34	.	.	PUNCT
cana-6006	63	1	in	in	ADP
cana-6006	63	2	today	today	NOUN
cana-6006	63	3	’s	’s	PART
cana-6006	63	4	rapidly	rapidly	ADV
cana-6006	63	5	evolving	evolve	VERB
cana-6006	63	6	world	world	NOUN
cana-6006	63	7	,	,	PUNCT
cana-6006	63	8	the	the	DET
cana-6006	63	9	explosion	explosion	NOUN
cana-6006	63	10	in	in	ADP
cana-6006	63	11	both	both	CCONJ
cana-6006	63	12	the	the	DET
cana-6006	63	13	variety	variety	NOUN
cana-6006	63	14	and	and	CCONJ
cana-6006	63	15	quantity	quantity	NOUN
cana-6006	63	16	of	of	ADP
cana-6006	63	17	data	datum	NOUN
cana-6006	63	18	sources	source	NOUN
cana-6006	63	19	has	have	AUX
cana-6006	63	20	made	make	VERB
cana-6006	63	21	advanced	advanced	ADJ
cana-6006	63	22	data	datum	NOUN
cana-6006	63	23	processing	processing	NOUN
cana-6006	63	24	technologies	technology	NOUN
cana-6006	63	25	,	,	PUNCT
cana-6006	63	26	such	such	ADJ
cana-6006	63	27	as	as	ADP
cana-6006	63	28	deep	deep	ADJ
cana-6006	63	29	learning	learning	NOUN
cana-6006	63	30	,	,	PUNCT
cana-6006	63	31	more	more	ADV
cana-6006	63	32	essential	essential	ADJ
cana-6006	63	33	than	than	ADP
cana-6006	63	34	ever	ever	ADV
cana-6006	63	35	.	.	PUNCT
cana-6006	64	1	this	this	DET
cana-6006	64	2	work	work	NOUN
cana-6006	64	3	takes	take	VERB
cana-6006	64	4	a	a	DET
cana-6006	64	5	comprehensive	comprehensive	ADJ
cana-6006	64	6	look	look	NOUN
cana-6006	64	7	at	at	ADP
cana-6006	64	8	how	how	SCONJ
cana-6006	64	9	ct	ct	NOUN
cana-6006	64	10	images	image	NOUN
cana-6006	64	11	can	can	AUX
cana-6006	64	12	be	be	AUX
cana-6006	64	13	processed	process	VERB
cana-6006	64	14	using	use	VERB
cana-6006	64	15	deep	deep	ADJ
cana-6006	64	16	learning	learning	NOUN
cana-6006	64	17	methods	method	NOUN
cana-6006	64	18	,	,	PUNCT
cana-6006	64	19	focusing	focus	VERB
cana-6006	64	20	specifically	specifically	ADV
cana-6006	64	21	on	on	ADP
cana-6006	64	22	their	their	PRON
cana-6006	64	23	application	application	NOUN
cana-6006	64	24	in	in	ADP
cana-6006	64	25	diagnosing	diagnose	VERB
cana-6006	64	26	brain	brain	NOUN
cana-6006	64	27	hemorrhages	hemorrhage	NOUN
cana-6006	64	28	.	.	PUNCT
cana-6006	65	1	the	the	DET
cana-6006	65	2	study	study	NOUN
cana-6006	65	3	introduces	introduce	VERB
cana-6006	65	4	an	an	DET
cana-6006	65	5	innovative	innovative	ADJ
cana-6006	65	6	deep	deep	ADJ
cana-6006	65	7	learning	learning	NOUN
cana-6006	65	8	framework	framework	NOUN
cana-6006	65	9	designed	design	VERB
cana-6006	65	10	to	to	PART
cana-6006	65	11	improve	improve	VERB
cana-6006	65	12	the	the	DET
cana-6006	65	13	accuracy	accuracy	NOUN
cana-6006	65	14	of	of	ADP
cana-6006	65	15	both	both	DET
cana-6006	65	16	detecting	detect	VERB
cana-6006	65	17	and	and	CCONJ
cana-6006	65	18	segmenting	segment	VERB
cana-6006	65	19	brain	brain	NOUN
cana-6006	65	20	hemorrhages	hemorrhage	NOUN
cana-6006	65	21	.	.	PUNCT
cana-6006	66	1	the	the	DET
cana-6006	66	2	proposed	propose	VERB
cana-6006	66	3	model	model	NOUN
cana-6006	66	4	integrates	integrates	PROPN
cana-6006	66	5	mask	mask	VERB
cana-6006	66	6	scoring	score	VERB
cana-6006	66	7	r	r	X
cana-6006	66	8	-	-	PUNCT
cana-6006	66	9	cnn	cnn	PROPN
cana-6006	66	10	with	with	ADP
cana-6006	66	11	efficientnet	efficientnet	ADJ
cana-6006	66	12	-	-	PUNCT
cana-6006	66	13	b2	b2	NOUN
cana-6006	66	14	architectures	architecture	NOUN
cana-6006	66	15	,	,	PUNCT
cana-6006	66	16	creating	create	VERB
cana-6006	66	17	a	a	DET
cana-6006	66	18	robust	robust	ADJ
cana-6006	66	19	system	system	NOUN
cana-6006	66	20	for	for	ADP
cana-6006	66	21	identifying	identify	VERB
cana-6006	66	22	and	and	CCONJ
cana-6006	66	23	categorizing	categorize	VERB
cana-6006	66	24	brain	brain	NOUN
cana-6006	66	25	hemorrhages	hemorrhage	NOUN
cana-6006	66	26	.	.	PUNCT
cana-6006	67	1	in	in	ADP
cana-6006	67	2	this	this	DET
cana-6006	67	3	approach	approach	NOUN
cana-6006	67	4	,	,	PUNCT
cana-6006	67	5	mask	mask	NOUN
cana-6006	67	6	scoring	score	VERB
cana-6006	67	7	r	r	X
cana-6006	67	8	-	-	PUNCT
cana-6006	67	9	cnn	cnn	PROPN
cana-6006	67	10	is	be	AUX
cana-6006	67	11	responsible	responsible	ADJ
cana-6006	67	12	for	for	ADP
cana-6006	67	13	pinpointing	pinpoint	VERB
cana-6006	67	14	potential	potential	ADJ
cana-6006	67	15	hemorrhagic	hemorrhagic	ADJ
cana-6006	67	16	regions	region	NOUN
cana-6006	67	17	within	within	ADP
cana-6006	67	18	ct	ct	PROPN
cana-6006	67	19	scans	scan	NOUN
cana-6006	67	20	,	,	PUNCT
cana-6006	67	21	while	while	SCONJ
cana-6006	67	22	efficientnet	efficientnet	ADJ
cana-6006	67	23	-	-	PUNCT
cana-6006	67	24	b2	b2	NOUN
cana-6006	67	25	acts	act	NOUN
cana-6006	67	26	as	as	ADP
cana-6006	67	27	a	a	DET
cana-6006	67	28	classifier	classifier	NOUN
cana-6006	67	29	to	to	PART
cana-6006	67	30	determine	determine	VERB
cana-6006	67	31	if	if	SCONJ
cana-6006	67	32	these	these	DET
cana-6006	67	33	regions	region	NOUN
cana-6006	67	34	truly	truly	ADV
cana-6006	67	35	contain	contain	VERB
cana-6006	67	36	hemorrhages	hemorrhage	NOUN
cana-6006	67	37	.	.	PUNCT
cana-6006	68	1	by	by	ADP
cana-6006	68	2	combining	combine	VERB
cana-6006	68	3	these	these	DET
cana-6006	68	4	two	two	NUM
cana-6006	68	5	stages	stage	NOUN
cana-6006	68	6	—	—	PUNCT
cana-6006	68	7	detection	detection	NOUN
cana-6006	68	8	and	and	CCONJ
cana-6006	68	9	verification	verification	NOUN
cana-6006	68	10	—	—	PUNCT
cana-6006	68	11	the	the	DET
cana-6006	68	12	model	model	NOUN
cana-6006	68	13	achieves	achieve	VERB
cana-6006	68	14	higher	high	ADJ
cana-6006	68	15	levels	level	NOUN
cana-6006	68	16	of	of	ADP
cana-6006	68	17	accuracy	accuracy	NOUN
cana-6006	68	18	and	and	CCONJ
cana-6006	68	19	reliability	reliability	NOUN
cana-6006	68	20	in	in	ADP
cana-6006	68	21	brain	brain	NOUN
cana-6006	68	22	hemorrhage	hemorrhage	NOUN
cana-6006	68	23	diagnosis	diagnosis	NOUN
cana-6006	68	24	,	,	PUNCT
cana-6006	68	25	providing	provide	VERB
cana-6006	68	26	a	a	DET
cana-6006	68	27	more	more	ADV
cana-6006	68	28	dependable	dependable	ADJ
cana-6006	68	29	solution	solution	NOUN
cana-6006	68	30	for	for	ADP
cana-6006	68	31	medical	medical	ADJ
cana-6006	68	32	image	image	NOUN
cana-6006	68	33	analysis	analysis	NOUN
cana-6006	68	34	..	..	PUNCT
cana-6006	68	35	the	the	DET
cana-6006	68	36	performance	performance	NOUN
cana-6006	68	37	of	of	ADP
cana-6006	68	38	the	the	DET
cana-6006	68	39	model	model	NOUN
cana-6006	68	40	has	have	AUX
cana-6006	68	41	been	be	AUX
cana-6006	68	42	evaluated	evaluate	VERB
cana-6006	68	43	under	under	ADP
cana-6006	68	44	patient	patient	NOUN
cana-6006	68	45	-	-	PUNCT
cana-6006	68	46	based	base	VERB
cana-6006	68	47	and	and	CCONJ
cana-6006	68	48	random	random	ADJ
cana-6006	68	49	partitioning	partitioning	NOUN
cana-6006	68	50	techniques	technique	NOUN
cana-6006	68	51	by	by	ADP
cana-6006	68	52	employing	employ	VERB
cana-6006	68	53	two	two	NUM
cana-6006	68	54	distinct	distinct	ADJ
cana-6006	68	55	datasets	dataset	NOUN
cana-6006	68	56	:	:	PUNCT
cana-6006	68	57	an	an	DET
cana-6006	68	58	open	open	ADJ
cana-6006	68	59	-	-	PUNCT
cana-6006	68	60	access	access	NOUN
cana-6006	68	61	and	and	CCONJ
cana-6006	68	62	a	a	DET
cana-6006	68	63	private	private	ADJ
cana-6006	68	64	.	.	PUNCT
cana-6006	69	1	the	the	DET
cana-6006	69	2	patient	patient	NOUN
cana-6006	69	3	-	-	PUNCT
cana-6006	69	4	based	base	VERB
cana-6006	69	5	evaluation	evaluation	NOUN
cana-6006	69	6	of	of	ADP
cana-6006	69	7	the	the	DET
cana-6006	69	8	proposed	propose	VERB
cana-6006	69	9	model	model	NOUN
cana-6006	69	10	shows	show	VERB
cana-6006	69	11	it	it	PRON
cana-6006	69	12	achieved	achieve	VERB
cana-6006	69	13	an	an	DET
cana-6006	69	14	accuracy	accuracy	NOUN
cana-6006	69	15	of	of	ADP
cana-6006	69	16	91.59	91.59	NUM
cana-6006	69	17	%	%	NOUN
cana-6006	69	18	on	on	ADP
cana-6006	69	19	the	the	DET
cana-6006	69	20	open	open	ADJ
cana-6006	69	21	dataset	dataset	NOUN
cana-6006	69	22	and	and	CCONJ
cana-6006	69	23	90.46	90.46	NUM
cana-6006	69	24	%	%	NOUN
cana-6006	69	25	on	on	ADP
cana-6006	69	26	the	the	DET
cana-6006	69	27	private	private	ADJ
cana-6006	69	28	dataset	dataset	NOUN
cana-6006	69	29	for	for	ADP
cana-6006	69	30	detecting	detect	VERB
cana-6006	69	31	sdh	sdh	NOUN
cana-6006	69	32	hemorrhages	hemorrhage	NOUN
cana-6006	69	33	.	.	PUNCT
cana-6006	70	1	when	when	SCONJ
cana-6006	70	2	using	use	VERB
cana-6006	70	3	the	the	DET
cana-6006	70	4	random	random	ADJ
cana-6006	70	5	partitioning	partitioning	NOUN
cana-6006	70	6	approach	approach	NOUN
cana-6006	70	7	,	,	PUNCT
cana-6006	70	8	the	the	DET
cana-6006	70	9	model	model	NOUN
cana-6006	70	10	's	's	PART
cana-6006	70	11	accuracy	accuracy	NOUN
cana-6006	70	12	improved	improve	VERB
cana-6006	70	13	to	to	ADP
cana-6006	70	14	94.30	94.30	NUM
cana-6006	70	15	%	%	NOUN
cana-6006	70	16	on	on	ADP
cana-6006	70	17	the	the	DET
cana-6006	70	18	open	open	ADJ
cana-6006	70	19	dataset	dataset	NOUN
cana-6006	70	20	and	and	CCONJ
cana-6006	70	21	97.33	97.33	NUM
cana-6006	70	22	%	%	NOUN
cana-6006	70	23	on	on	ADP
cana-6006	70	24	the	the	DET
cana-6006	70	25	private	private	ADJ
cana-6006	70	26	dataset	dataset	NOUN
cana-6006	70	27	.	.	PUNCT
cana-6006	71	1	compared	compare	VERB
cana-6006	71	2	to	to	ADP
cana-6006	71	3	other	other	ADJ
cana-6006	71	4	studies	study	NOUN
cana-6006	71	5	in	in	ADP
cana-6006	71	6	the	the	DET
cana-6006	71	7	field	field	NOUN
cana-6006	71	8	,	,	PUNCT
cana-6006	71	9	these	these	DET
cana-6006	71	10	results	result	NOUN
cana-6006	71	11	indicate	indicate	VERB
cana-6006	71	12	that	that	SCONJ
cana-6006	71	13	the	the	DET
cana-6006	71	14	model	model	NOUN
cana-6006	71	15	is	be	AUX
cana-6006	71	16	both	both	PRON
cana-6006	71	17	highly	highly	ADV
cana-6006	71	18	accurate	accurate	ADJ
cana-6006	71	19	and	and	CCONJ
cana-6006	71	20	reliable	reliable	ADJ
cana-6006	71	21	.	.	PUNCT
cana-6006	72	1	this	this	DET
cana-6006	72	2	research	research	NOUN
cana-6006	72	3	underscores	underscore	VERB
cana-6006	72	4	the	the	DET
cana-6006	72	5	growing	grow	VERB
cana-6006	72	6	significance	significance	NOUN
cana-6006	72	7	of	of	ADP
cana-6006	72	8	ai	ai	VERB
cana-6006	72	9	-	-	PUNCT
cana-6006	72	10	assisted	assist	VERB
cana-6006	72	11	techniques	technique	NOUN
cana-6006	72	12	in	in	ADP
cana-6006	72	13	identifying	identify	VERB
cana-6006	72	14	brain	brain	NOUN
cana-6006	72	15	hemorrhages	hemorrhage	NOUN
cana-6006	72	16	,	,	PUNCT
cana-6006	72	17	and	and	CCONJ
cana-6006	72	18	it	it	PRON
cana-6006	72	19	lays	lay	VERB
cana-6006	72	20	a	a	DET
cana-6006	72	21	strong	strong	ADJ
cana-6006	72	22	groundwork	groundwork	NOUN
cana-6006	72	23	for	for	ADP
cana-6006	72	24	future	future	ADJ
cana-6006	72	25	advancements	advancement	NOUN
cana-6006	72	26	in	in	ADP
cana-6006	72	27	this	this	DET
cana-6006	72	28	area	area	NOUN
cana-6006	72	29	.	.	PUNCT
cana-6006	73	1	moreover	moreover	ADV
cana-6006	73	2	,	,	PUNCT
cana-6006	73	3	the	the	DET
cana-6006	73	4	outcomes	outcome	NOUN
cana-6006	73	5	from	from	ADP
cana-6006	73	6	the	the	DET
cana-6006	73	7	open	open	ADJ
cana-6006	73	8	dataset	dataset	NOUN
cana-6006	73	9	provide	provide	VERB
cana-6006	73	10	a	a	DET
cana-6006	73	11	realistic	realistic	ADJ
cana-6006	73	12	and	and	CCONJ
cana-6006	73	13	meaningful	meaningful	ADJ
cana-6006	73	14	benchmark	benchmark	NOUN
cana-6006	73	15	for	for	ADP
cana-6006	73	16	future	future	ADJ
cana-6006	73	17	studies	study	NOUN
cana-6006	73	18	,	,	PUNCT
cana-6006	73	19	while	while	SCONJ
cana-6006	73	20	the	the	DET
cana-6006	73	21	consistent	consistent	ADJ
cana-6006	73	22	results	result	NOUN
cana-6006	73	23	from	from	ADP
cana-6006	73	24	the	the	DET
cana-6006	73	25	private	private	ADJ
cana-6006	73	26	dataset	dataset	NOUN
cana-6006	73	27	further	far	ADV
cana-6006	73	28	confirm	confirm	VERB
cana-6006	73	29	the	the	DET
cana-6006	73	30	model	model	NOUN
cana-6006	73	31	's	's	PART
cana-6006	73	32	effectiveness	effectiveness	NOUN
cana-6006	73	33	and	and	CCONJ
cana-6006	73	34	reliability	reliability	NOUN
cana-6006	73	35	.	.	PUNCT
cana-6006	74	1	kumar	kumar	PROPN
cana-6006	74	2	et	et	PROPN
cana-6006	74	3	al	al	PROPN
cana-6006	74	4	.	.	PUNCT
cana-6006	75	1	[	[	X
cana-6006	75	2	2	2	X
cana-6006	75	3	]	]	PUNCT
cana-6006	75	4	proposed	propose	VERB
cana-6006	75	5	a	a	DET
cana-6006	75	6	hybrid	hybrid	ADJ
cana-6006	75	7	model	model	NOUN
cana-6006	75	8	combining	combine	VERB
cana-6006	75	9	cnn	cnn	PROPN
cana-6006	75	10	and	and	CCONJ
cana-6006	75	11	lstm	lstm	PROPN
cana-6006	75	12	networks	network	NOUN
cana-6006	75	13	to	to	PART
cana-6006	75	14	analyze	analyze	VERB
cana-6006	75	15	spatial	spatial	ADJ
cana-6006	75	16	and	and	CCONJ
cana-6006	75	17	temporal	temporal	ADJ
cana-6006	75	18	patterns	pattern	NOUN
cana-6006	75	19	in	in	ADP
cana-6006	75	20	brain	brain	NOUN
cana-6006	75	21	imaging	imaging	NOUN
cana-6006	75	22	data	datum	NOUN
cana-6006	75	23	,	,	PUNCT
cana-6006	75	24	achieving	achieve	VERB
cana-6006	75	25	a	a	DET
cana-6006	75	26	93	93	NUM
cana-6006	75	27	%	%	NOUN
cana-6006	75	28	accuracy	accuracy	NOUN
cana-6006	75	29	rate	rate	NOUN
cana-6006	75	30	.	.	PUNCT
cana-6006	76	1	shen	shen	PROPN
cana-6006	76	2	et	et	PROPN
cana-6006	76	3	al	al	PROPN
cana-6006	76	4	.	.	PUNCT
cana-6006	77	1	[	[	X
cana-6006	77	2	3	3	X
cana-6006	77	3	]	]	PUNCT
cana-6006	77	4	designed	design	VERB
cana-6006	77	5	a	a	DET
cana-6006	77	6	deep	deep	ADJ
cana-6006	77	7	learning	learning	NOUN
cana-6006	77	8	model	model	NOUN
cana-6006	77	9	based	base	VERB
cana-6006	77	10	on	on	ADP
cana-6006	77	11	resnet	resnet	NOUN
cana-6006	77	12	for	for	ADP
cana-6006	77	13	multi	multi	ADJ
cana-6006	77	14	-	-	ADJ
cana-6006	77	15	class	class	ADJ
cana-6006	77	16	classification	classification	NOUN
cana-6006	77	17	of	of	ADP
cana-6006	77	18	intracranial	intracranial	ADJ
cana-6006	77	19	hemorrhages	hemorrhage	NOUN
cana-6006	77	20	,	,	PUNCT
cana-6006	77	21	achieving	achieve	VERB
cana-6006	77	22	an	an	DET
cana-6006	77	23	f	f	NOUN
cana-6006	77	24	-	-	PUNCT
cana-6006	77	25	score	score	NOUN
cana-6006	77	26	of	of	ADP
cana-6006	77	27	92	92	NUM
cana-6006	77	28	%	%	NOUN
cana-6006	77	29	.	.	PUNCT
cana-6006	78	1	ahmed	ahmed	PROPN
cana-6006	78	2	et	et	PROPN
cana-6006	78	3	al	al	PROPN
cana-6006	78	4	.	.	PUNCT
cana-6006	79	1	[	[	X
cana-6006	79	2	4	4	NUM
cana-6006	79	3	]	]	X
cana-6006	79	4	utilized	utilize	VERB
cana-6006	79	5	transfer	transfer	NOUN
cana-6006	79	6	learning	learning	NOUN
cana-6006	79	7	by	by	ADP
cana-6006	79	8	adapting	adapt	VERB
cana-6006	79	9	a	a	DET
cana-6006	79	10	pre	pre	ADJ
cana-6006	79	11	-	-	ADJ
cana-6006	79	12	trained	train	VERB
cana-6006	79	13	vgg16	vgg16	NOUN
cana-6006	79	14	network	network	NOUN
cana-6006	79	15	specifically	specifically	ADV
cana-6006	79	16	for	for	ADP
cana-6006	79	17	the	the	DET
cana-6006	79	18	task	task	NOUN
cana-6006	79	19	of	of	ADP
cana-6006	79	20	hemorrhage	hemorrhage	NOUN
cana-6006	79	21	detection	detection	NOUN
cana-6006	79	22	.	.	PUNCT
cana-6006	80	1	by	by	ADP
cana-6006	80	2	fine	fine	ADV
cana-6006	80	3	-	-	PUNCT
cana-6006	80	4	tuning	tuning	VERB
cana-6006	80	5	this	this	DET
cana-6006	80	6	model	model	NOUN
cana-6006	80	7	,	,	PUNCT
cana-6006	80	8	they	they	PRON
cana-6006	80	9	were	be	AUX
cana-6006	80	10	able	able	ADJ
cana-6006	80	11	to	to	PART
cana-6006	80	12	achieve	achieve	VERB
cana-6006	80	13	high	high	ADJ
cana-6006	80	14	levels	level	NOUN
cana-6006	80	15	of	of	ADP
cana-6006	80	16	accuracy	accuracy	NOUN
cana-6006	80	17	even	even	ADV
cana-6006	80	18	when	when	SCONJ
cana-6006	80	19	only	only	ADV
cana-6006	80	20	a	a	DET
cana-6006	80	21	small	small	ADJ
cana-6006	80	22	amount	amount	NOUN
cana-6006	80	23	of	of	ADP
cana-6006	80	24	labeled	label	VERB
cana-6006	80	25	data	datum	NOUN
cana-6006	80	26	was	be	AUX
cana-6006	80	27	available	available	ADJ
cana-6006	80	28	,	,	PUNCT
cana-6006	80	29	highlighting	highlight	VERB
cana-6006	80	30	the	the	DET
cana-6006	80	31	effectiveness	effectiveness	NOUN
cana-6006	80	32	of	of	ADP
cana-6006	80	33	transfer	transfer	NOUN
cana-6006	80	34	learning	learning	NOUN
cana-6006	80	35	in	in	ADP
cana-6006	80	36	medical	medical	ADJ
cana-6006	80	37	image	image	NOUN
cana-6006	80	38	analysis	analysis	NOUN
cana-6006	80	39	under	under	ADP
cana-6006	80	40	data	datum	NOUN
cana-6006	80	41	constraints	constraint	NOUN
cana-6006	80	42	.	.	PUNCT
cana-6006	81	1	zhang	zhang	PROPN
cana-6006	81	2	et	et	PROPN
cana-6006	81	3	al	al	PROPN
cana-6006	81	4	.	.	PUNCT
cana-6006	82	1	[	[	X
cana-6006	82	2	5	5	NUM
cana-6006	82	3	]	]	PUNCT
cana-6006	82	4	employed	employ	VERB
cana-6006	82	5	an	an	DET
cana-6006	82	6	svm	svm	ADJ
cana-6006	82	7	classifier	classifier	NOUN
cana-6006	82	8	on	on	ADP
cana-6006	82	9	cnn	cnn	PROPN
cana-6006	82	10	-	-	PUNCT
cana-6006	82	11	extracted	extract	VERB
cana-6006	82	12	features	feature	NOUN
cana-6006	82	13	,	,	PUNCT
cana-6006	82	14	achieving	achieve	VERB
cana-6006	82	15	90	90	NUM
cana-6006	82	16	%	%	NOUN
cana-6006	82	17	classification	classification	NOUN
cana-6006	82	18	accuracy	accuracy	NOUN
cana-6006	82	19	for	for	ADP
cana-6006	82	20	hemorrhage	hemorrhage	NOUN
cana-6006	82	21	detection	detection	NOUN
cana-6006	82	22	.	.	PUNCT
cana-6006	83	1	patel	patel	PROPN
cana-6006	83	2	et	et	PROPN
cana-6006	83	3	al	al	PROPN
cana-6006	83	4	.	.	PUNCT
cana-6006	84	1	[	[	X
cana-6006	84	2	6	6	NUM
cana-6006	84	3	]	]	PUNCT
cana-6006	84	4	introduced	introduce	VERB
cana-6006	84	5	an	an	DET
cana-6006	84	6	ensemble	ensemble	ADJ
cana-6006	84	7	model	model	NOUN
cana-6006	84	8	combining	combine	VERB
cana-6006	84	9	random	random	ADJ
cana-6006	84	10	forest	forest	NOUN
cana-6006	84	11	and	and	CCONJ
cana-6006	84	12	cnn	cnn	PROPN
cana-6006	84	13	,	,	PUNCT
cana-6006	84	14	which	which	PRON
cana-6006	84	15	significantly	significantly	ADV
cana-6006	84	16	improved	improve	VERB
cana-6006	84	17	the	the	DET
cana-6006	84	18	detection	detection	NOUN
cana-6006	84	19	of	of	ADP
cana-6006	84	20	small	small	ADJ
cana-6006	84	21	hemorrhages	hemorrhage	NOUN
cana-6006	84	22	,	,	PUNCT
cana-6006	84	23	yielding	yield	VERB
cana-6006	84	24	a	a	DET
cana-6006	84	25	94	94	NUM
cana-6006	84	26	%	%	NOUN
cana-6006	84	27	accuracy	accuracy	NOUN
cana-6006	84	28	.	.	PUNCT
cana-6006	85	1	li	li	PROPN
cana-6006	85	2	et	et	PROPN
cana-6006	85	3	al	al	PROPN
cana-6006	85	4	.	.	PUNCT
cana-6006	86	1	[	[	X
cana-6006	86	2	7	7	NUM
cana-6006	86	3	]	]	PUNCT
cana-6006	86	4	developed	develop	VERB
cana-6006	86	5	a	a	DET
cana-6006	86	6	3d	3d	NUM
cana-6006	86	7	cnn	cnn	PROPN
cana-6006	86	8	framework	framework	NOUN
cana-6006	86	9	to	to	PART
cana-6006	86	10	detect	detect	VERB
cana-6006	86	11	hemorrhages	hemorrhage	NOUN
cana-6006	86	12	in	in	ADP
cana-6006	86	13	ct	ct	PROPN
cana-6006	86	14	scans	scan	NOUN
cana-6006	86	15	,	,	PUNCT
cana-6006	86	16	achieving	achieve	VERB
cana-6006	86	17	a	a	DET
cana-6006	86	18	high	high	ADJ
cana-6006	86	19	specificity	specificity	NOUN
cana-6006	86	20	rate	rate	NOUN
cana-6006	86	21	due	due	ADP
cana-6006	86	22	to	to	ADP
cana-6006	86	23	the	the	DET
cana-6006	86	24	model	model	NOUN
cana-6006	86	25	's	's	PART
cana-6006	86	26	ability	ability	NOUN
cana-6006	86	27	to	to	PART
cana-6006	86	28	process	process	VERB
cana-6006	86	29	volumetric	volumetric	NOUN
cana-6006	86	30	data	datum	NOUN
cana-6006	86	31	.	.	PUNCT
cana-6006	87	1	chen	chen	PROPN
cana-6006	87	2	et	et	PROPN
cana-6006	87	3	al	al	PROPN
cana-6006	87	4	.	.	PUNCT
cana-6006	88	1	[	[	X
cana-6006	88	2	8	8	NUM
cana-6006	88	3	]	]	PUNCT
cana-6006	88	4	utilized	utilize	VERB
cana-6006	88	5	a	a	DET
cana-6006	88	6	generative	generative	ADJ
cana-6006	88	7	adversarial	adversarial	ADJ
cana-6006	88	8	network	network	NOUN
cana-6006	88	9	(	(	PUNCT
cana-6006	88	10	gan	gan	PROPN
cana-6006	88	11	)	)	PUNCT
cana-6006	88	12	to	to	PART
cana-6006	88	13	enhance	enhance	VERB
cana-6006	88	14	brain	brain	NOUN
cana-6006	88	15	scan	scan	ADJ
cana-6006	88	16	quality	quality	NOUN
cana-6006	88	17	for	for	ADP
cana-6006	88	18	hemorrhage	hemorrhage	NOUN
cana-6006	88	19	detection	detection	NOUN
cana-6006	88	20	,	,	PUNCT
cana-6006	88	21	improving	improve	VERB
cana-6006	88	22	model	model	NOUN
cana-6006	88	23	accuracy	accuracy	NOUN
cana-6006	88	24	by	by	ADP
cana-6006	88	25	4	4	NUM
cana-6006	88	26	%	%	NOUN
cana-6006	88	27	.	.	PUNCT
cana-6006	89	1	wang	wang	PROPN
cana-6006	89	2	et	et	PROPN
cana-6006	89	3	al	al	PROPN
cana-6006	89	4	.	.	PUNCT
cana-6006	90	1	[	[	X
cana-6006	90	2	9	9	NUM
cana-6006	90	3	]	]	PUNCT
cana-6006	90	4	designed	design	VERB
cana-6006	90	5	a	a	DET
cana-6006	90	6	densenet	densenet	NOUN
cana-6006	90	7	-	-	PUNCT
cana-6006	90	8	based	base	VERB
cana-6006	90	9	model	model	NOUN
cana-6006	90	10	for	for	ADP
cana-6006	90	11	hemorrhage	hemorrhage	NOUN
cana-6006	90	12	detection	detection	NOUN
cana-6006	90	13	,	,	PUNCT
cana-6006	90	14	achieving	achieve	VERB
cana-6006	90	15	high	high	ADJ
cana-6006	90	16	communications	communication	NOUN
cana-6006	90	17	on	on	ADP
cana-6006	90	18	applied	apply	VERB
cana-6006	90	19	nonlinear	nonlinear	ADJ
cana-6006	90	20	analysis	analysis	NOUN
cana-6006	90	21	issn	issn	NOUN
cana-6006	90	22	:	:	PUNCT
cana-6006	90	23	1074	1074	NUM
cana-6006	90	24	-	-	PUNCT
cana-6006	90	25	133x	133x	NUM
cana-6006	90	26	vol	vol	VERB
cana-6006	90	27	32	32	NUM
cana-6006	90	28	no	no	NOUN
cana-6006	90	29	.	.	PUNCT
cana-6006	91	1	10s	10	NOUN
cana-6006	91	2	(	(	PUNCT
cana-6006	91	3	2025	2025	NUM
cana-6006	91	4	)	)	PUNCT
cana-6006	91	5	3205	3205	NUM
cana-6006	91	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6006	91	7	diagnostic	diagnostic	ADJ
cana-6006	91	8	accuracy	accuracy	NOUN
cana-6006	91	9	,	,	PUNCT
cana-6006	91	10	particularly	particularly	ADV
cana-6006	91	11	for	for	ADP
cana-6006	91	12	subarachnoid	subarachnoid	ADJ
cana-6006	91	13	and	and	CCONJ
cana-6006	91	14	intraventricular	intraventricular	ADJ
cana-6006	91	15	hemorrhages	hemorrhage	NOUN
cana-6006	91	16	.	.	PUNCT
cana-6006	92	1	singh	singh	PROPN
cana-6006	92	2	et	et	PROPN
cana-6006	92	3	al	al	PROPN
cana-6006	92	4	.	.	PUNCT
cana-6006	93	1	[	[	X
cana-6006	93	2	10	10	NUM
cana-6006	93	3	]	]	PUNCT
cana-6006	93	4	implemented	implement	VERB
cana-6006	93	5	an	an	DET
cana-6006	93	6	attention	attention	NOUN
cana-6006	93	7	mechanism	mechanism	NOUN
cana-6006	93	8	in	in	ADP
cana-6006	93	9	a	a	DET
cana-6006	93	10	cnn	cnn	NOUN
cana-6006	93	11	,	,	PUNCT
cana-6006	93	12	increasing	increase	VERB
cana-6006	93	13	the	the	DET
cana-6006	93	14	model	model	NOUN
cana-6006	93	15	's	's	PART
cana-6006	93	16	focus	focus	NOUN
cana-6006	93	17	on	on	ADP
cana-6006	93	18	hemorrhagic	hemorrhagic	ADJ
cana-6006	93	19	regions	region	NOUN
cana-6006	93	20	and	and	CCONJ
cana-6006	93	21	achieving	achieve	VERB
cana-6006	93	22	an	an	DET
cana-6006	93	23	f	f	NOUN
cana-6006	93	24	-	-	PUNCT
cana-6006	93	25	score	score	NOUN
cana-6006	93	26	of	of	ADP
cana-6006	93	27	93	93	NUM
cana-6006	93	28	%	%	NOUN
cana-6006	93	29	.	.	PUNCT
cana-6006	94	1	liu	liu	PROPN
cana-6006	94	2	et	et	PROPN
cana-6006	94	3	al	al	PROPN
cana-6006	94	4	.	.	PUNCT
cana-6006	95	1	[	[	X
cana-6006	95	2	11	11	NUM
cana-6006	95	3	]	]	PUNCT
cana-6006	95	4	proposed	propose	VERB
cana-6006	95	5	a	a	DET
cana-6006	95	6	hybrid	hybrid	ADJ
cana-6006	95	7	deep	deep	ADJ
cana-6006	95	8	learning	learning	NOUN
cana-6006	95	9	model	model	NOUN
cana-6006	95	10	combining	combine	VERB
cana-6006	95	11	cnn	cnn	PROPN
cana-6006	95	12	with	with	ADP
cana-6006	95	13	lstm	lstm	NOUN
cana-6006	95	14	for	for	ADP
cana-6006	95	15	detecting	detect	VERB
cana-6006	95	16	intracranial	intracranial	ADJ
cana-6006	95	17	hemorrhage	hemorrhage	NOUN
cana-6006	95	18	,	,	PUNCT
cana-6006	95	19	improving	improve	VERB
cana-6006	95	20	sensitivity	sensitivity	NOUN
cana-6006	95	21	to	to	ADP
cana-6006	95	22	91	91	NUM
cana-6006	95	23	%	%	NOUN
cana-6006	95	24	and	and	CCONJ
cana-6006	95	25	specificity	specificity	NOUN
cana-6006	95	26	to	to	ADP
cana-6006	95	27	94	94	NUM
cana-6006	95	28	%	%	NOUN
cana-6006	95	29	.	.	PUNCT
cana-6006	96	1	zhang	zhang	PROPN
cana-6006	96	2	et	et	PROPN
cana-6006	96	3	al	al	PROPN
cana-6006	96	4	.	.	PUNCT
cana-6006	97	1	[	[	X
cana-6006	97	2	12	12	NUM
cana-6006	97	3	]	]	PUNCT
cana-6006	97	4	explored	explore	VERB
cana-6006	97	5	a	a	DET
cana-6006	97	6	multi	multi	ADJ
cana-6006	97	7	-	-	ADJ
cana-6006	97	8	modal	modal	ADJ
cana-6006	97	9	approach	approach	NOUN
cana-6006	97	10	using	use	VERB
cana-6006	97	11	both	both	PRON
cana-6006	97	12	ct	ct	PROPN
cana-6006	97	13	and	and	CCONJ
cana-6006	97	14	mri	mri	NOUN
cana-6006	97	15	scans	scan	NOUN
cana-6006	97	16	,	,	PUNCT
cana-6006	97	17	developing	develop	VERB
cana-6006	97	18	a	a	DET
cana-6006	97	19	multi	multi	ADJ
cana-6006	97	20	-	-	ADJ
cana-6006	97	21	input	input	ADJ
cana-6006	97	22	deep	deep	ADJ
cana-6006	97	23	learning	learning	NOUN
cana-6006	97	24	model	model	NOUN
cana-6006	97	25	that	that	PRON
cana-6006	97	26	achieved	achieve	VERB
cana-6006	97	27	a	a	DET
cana-6006	97	28	95	95	NUM
cana-6006	97	29	%	%	NOUN
cana-6006	97	30	classification	classification	NOUN
cana-6006	97	31	accuracy	accuracy	NOUN
cana-6006	97	32	.	.	PUNCT
cana-6006	98	1	jiang	jiang	PROPN
cana-6006	98	2	et	et	PROPN
cana-6006	98	3	al	al	PROPN
cana-6006	98	4	.	.	PUNCT
cana-6006	99	1	[	[	X
cana-6006	99	2	13	13	NUM
cana-6006	99	3	]	]	SYM
cana-6006	99	4	addressed	address	VERB
cana-6006	99	5	class	class	NOUN
cana-6006	99	6	imbalance	imbalance	NOUN
cana-6006	99	7	in	in	ADP
cana-6006	99	8	hemorrhage	hemorrhage	NOUN
cana-6006	99	9	datasets	dataset	NOUN
cana-6006	99	10	by	by	ADP
cana-6006	99	11	using	use	VERB
cana-6006	99	12	smote	smote	NOUN
cana-6006	99	13	combined	combine	VERB
cana-6006	99	14	with	with	ADP
cana-6006	99	15	a	a	DET
cana-6006	99	16	cnn	cnn	NOUN
cana-6006	99	17	architecture	architecture	NOUN
cana-6006	99	18	,	,	PUNCT
cana-6006	99	19	achieving	achieve	VERB
cana-6006	99	20	a	a	DET
cana-6006	99	21	recall	recall	NOUN
cana-6006	99	22	rate	rate	NOUN
cana-6006	99	23	of	of	ADP
cana-6006	99	24	92	92	NUM
cana-6006	99	25	%	%	NOUN
cana-6006	99	26	.	.	PUNCT
cana-6006	100	1	gupta	gupta	PROPN
cana-6006	100	2	et	et	PROPN
cana-6006	100	3	al	al	PROPN
cana-6006	100	4	.	.	PUNCT
cana-6006	101	1	[	[	X
cana-6006	101	2	14	14	NUM
cana-6006	101	3	]	]	X
cana-6006	101	4	used	use	VERB
cana-6006	101	5	transfer	transfer	NOUN
cana-6006	101	6	learning	learning	NOUN
cana-6006	101	7	with	with	ADP
cana-6006	101	8	a	a	DET
cana-6006	101	9	resnet	resnet	NOUN
cana-6006	101	10	model	model	NOUN
cana-6006	101	11	fine	fine	ADV
cana-6006	101	12	-	-	PUNCT
cana-6006	101	13	tuned	tune	VERB
cana-6006	101	14	on	on	ADP
cana-6006	101	15	publicly	publicly	ADV
cana-6006	101	16	available	available	ADJ
cana-6006	101	17	datasets	dataset	NOUN
cana-6006	101	18	,	,	PUNCT
cana-6006	101	19	achieving	achieve	VERB
cana-6006	101	20	96	96	NUM
cana-6006	101	21	%	%	NOUN
cana-6006	101	22	accuracy	accuracy	NOUN
cana-6006	101	23	in	in	ADP
cana-6006	101	24	hemorrhage	hemorrhage	NOUN
cana-6006	101	25	classification	classification	NOUN
cana-6006	101	26	.	.	PUNCT
cana-6006	102	1	kim	kim	PROPN
cana-6006	102	2	et	et	PROPN
cana-6006	102	3	al	al	PROPN
cana-6006	102	4	.	.	PUNCT
cana-6006	103	1	[	[	X
cana-6006	103	2	15	15	NUM
cana-6006	103	3	]	]	PUNCT
cana-6006	103	4	developed	develop	VERB
cana-6006	103	5	a	a	DET
cana-6006	103	6	deep	deep	ADJ
cana-6006	103	7	cnn	cnn	PROPN
cana-6006	103	8	model	model	NOUN
cana-6006	103	9	for	for	ADP
cana-6006	103	10	detecting	detect	VERB
cana-6006	103	11	micro	micro	NOUN
cana-6006	103	12	-	-	NOUN
cana-6006	103	13	hemorrhages	hemorrhage	NOUN
cana-6006	103	14	in	in	ADP
cana-6006	103	15	brain	brain	NOUN
cana-6006	103	16	mri	mri	NOUN
cana-6006	103	17	scans	scan	NOUN
cana-6006	103	18	,	,	PUNCT
cana-6006	103	19	achieving	achieve	VERB
cana-6006	103	20	a	a	DET
cana-6006	103	21	sensitivity	sensitivity	NOUN
cana-6006	103	22	of	of	ADP
cana-6006	103	23	88	88	NUM
cana-6006	103	24	%	%	NOUN
cana-6006	103	25	.	.	PUNCT
cana-6006	104	1	lee	lee	PROPN
cana-6006	104	2	et	et	PROPN
cana-6006	104	3	al	al	PROPN
cana-6006	104	4	.	.	PUNCT
cana-6006	105	1	[	[	X
cana-6006	105	2	16	16	NUM
cana-6006	105	3	]	]	PUNCT
cana-6006	105	4	proposed	propose	VERB
cana-6006	105	5	a	a	DET
cana-6006	105	6	hybrid	hybrid	ADJ
cana-6006	105	7	svm	svm	PROPN
cana-6006	105	8	-	-	ADJ
cana-6006	105	9	cnn	cnn	PROPN
cana-6006	105	10	model	model	NOUN
cana-6006	105	11	,	,	PUNCT
cana-6006	105	12	achieving	achieve	VERB
cana-6006	105	13	robust	robust	ADJ
cana-6006	105	14	performance	performance	NOUN
cana-6006	105	15	with	with	ADP
cana-6006	105	16	an	an	DET
cana-6006	105	17	accuracy	accuracy	NOUN
cana-6006	105	18	of	of	ADP
cana-6006	105	19	90	90	NUM
cana-6006	105	20	%	%	NOUN
cana-6006	105	21	for	for	ADP
cana-6006	105	22	hemorrhage	hemorrhage	NOUN
cana-6006	105	23	detection	detection	NOUN
cana-6006	105	24	from	from	ADP
cana-6006	105	25	ct	ct	PROPN
cana-6006	105	26	scans	scan	NOUN
cana-6006	105	27	.	.	PUNCT
cana-6006	106	1	patel	patel	PROPN
cana-6006	106	2	et	et	PROPN
cana-6006	106	3	al	al	PROPN
cana-6006	106	4	.	.	PUNCT
cana-6006	107	1	[	[	X
cana-6006	107	2	17	17	NUM
cana-6006	107	3	]	]	PUNCT
cana-6006	107	4	implemented	implement	VERB
cana-6006	107	5	a	a	DET
cana-6006	107	6	deep	deep	ADJ
cana-6006	107	7	reinforcement	reinforcement	NOUN
cana-6006	107	8	learning	learning	NOUN
cana-6006	107	9	(	(	PUNCT
cana-6006	107	10	drl	drl	PROPN
cana-6006	107	11	)	)	PUNCT
cana-6006	107	12	model	model	NOUN
cana-6006	107	13	for	for	ADP
cana-6006	107	14	automatic	automatic	ADJ
cana-6006	107	15	hemorrhage	hemorrhage	NOUN
cana-6006	107	16	detection	detection	NOUN
cana-6006	107	17	,	,	PUNCT
cana-6006	107	18	with	with	ADP
cana-6006	107	19	a	a	DET
cana-6006	107	20	detection	detection	NOUN
cana-6006	107	21	accuracy	accuracy	NOUN
cana-6006	107	22	of	of	ADP
cana-6006	107	23	89	89	NUM
cana-6006	107	24	%	%	NOUN
cana-6006	107	25	.	.	PUNCT
cana-6006	108	1	zhou	zhou	PROPN
cana-6006	108	2	et	et	PROPN
cana-6006	108	3	al	al	PROPN
cana-6006	108	4	.	.	PUNCT
cana-6006	109	1	[	[	X
cana-6006	109	2	18	18	NUM
cana-6006	109	3	]	]	PUNCT
cana-6006	109	4	the	the	DET
cana-6006	109	5	model	model	NOUN
cana-6006	109	6	integrated	integrate	VERB
cana-6006	109	7	convolutional	convolutional	ADJ
cana-6006	109	8	neural	neural	ADJ
cana-6006	109	9	networks	network	NOUN
cana-6006	109	10	with	with	ADP
cana-6006	109	11	attention	attention	NOUN
cana-6006	109	12	mechanisms	mechanism	NOUN
cana-6006	109	13	,	,	PUNCT
cana-6006	109	14	achieving	achieve	VERB
cana-6006	109	15	a	a	DET
cana-6006	109	16	94	94	NUM
cana-6006	109	17	%	%	NOUN
cana-6006	109	18	sensitivity	sensitivity	NOUN
cana-6006	109	19	in	in	ADP
cana-6006	109	20	detecting	detect	VERB
cana-6006	109	21	subdural	subdural	ADJ
cana-6006	109	22	and	and	CCONJ
cana-6006	109	23	epidural	epidural	ADJ
cana-6006	109	24	hemorrhages	hemorrhage	NOUN
cana-6006	109	25	..	..	PUNCT
cana-6006	110	1	chen	chen	PROPN
cana-6006	110	2	et	et	PROPN
cana-6006	110	3	al	al	PROPN
cana-6006	110	4	.	.	PUNCT
cana-6006	111	1	[	[	X
cana-6006	111	2	19	19	NUM
cana-6006	111	3	]	]	PUNCT
cana-6006	111	4	employed	employ	VERB
cana-6006	111	5	gans	gan	NOUN
cana-6006	111	6	to	to	PART
cana-6006	111	7	augment	augment	VERB
cana-6006	111	8	hemorrhage	hemorrhage	NOUN
cana-6006	111	9	datasets	dataset	NOUN
cana-6006	111	10	,	,	PUNCT
cana-6006	111	11	achieving	achieve	VERB
cana-6006	111	12	93	93	NUM
cana-6006	111	13	%	%	NOUN
cana-6006	111	14	accuracy	accuracy	NOUN
cana-6006	111	15	by	by	ADP
cana-6006	111	16	generating	generate	VERB
cana-6006	111	17	synthetic	synthetic	ADJ
cana-6006	111	18	images	image	NOUN
cana-6006	111	19	for	for	ADP
cana-6006	111	20	training	train	VERB
cana-6006	111	21	cnn	cnn	PROPN
cana-6006	111	22	models	model	NOUN
cana-6006	111	23	.	.	PUNCT
cana-6006	112	1	sharma	sharma	PROPN
cana-6006	112	2	et	et	PROPN
cana-6006	112	3	al	al	PROPN
cana-6006	112	4	.	.	PUNCT
cana-6006	113	1	[	[	X
cana-6006	113	2	20	20	NUM
cana-6006	113	3	]	]	PUNCT
cana-6006	113	4	utilized	utilize	VERB
cana-6006	113	5	a	a	DET
cana-6006	113	6	multi	multi	ADJ
cana-6006	113	7	-	-	ADJ
cana-6006	113	8	scale	scale	ADJ
cana-6006	113	9	cnn	cnn	PROPN
cana-6006	113	10	model	model	NOUN
cana-6006	113	11	for	for	ADP
cana-6006	113	12	hemorrhage	hemorrhage	NOUN
cana-6006	113	13	detection	detection	NOUN
cana-6006	113	14	,	,	PUNCT
cana-6006	113	15	improving	improve	VERB
cana-6006	113	16	the	the	DET
cana-6006	113	17	sensitivity	sensitivity	NOUN
cana-6006	113	18	of	of	ADP
cana-6006	113	19	hemorrhage	hemorrhage	NOUN
cana-6006	113	20	localization	localization	NOUN
cana-6006	113	21	on	on	ADP
cana-6006	113	22	brain	brain	NOUN
cana-6006	113	23	ct	ct	PROPN
cana-6006	113	24	scans	scan	NOUN
cana-6006	113	25	.	.	PUNCT
cana-6006	114	1	zhou	zhou	PROPN
cana-6006	114	2	et	et	PROPN
cana-6006	114	3	al	al	PROPN
cana-6006	114	4	.	.	PUNCT
cana-6006	115	1	[	[	X
cana-6006	115	2	21	21	NUM
cana-6006	115	3	]	]	PUNCT
cana-6006	115	4	presented	present	VERB
cana-6006	115	5	a	a	DET
cana-6006	115	6	novel	novel	ADJ
cana-6006	115	7	3d	3d	NOUN
cana-6006	115	8	convolutional	convolutional	ADJ
cana-6006	115	9	neural	neural	ADJ
cana-6006	115	10	network	network	NOUN
cana-6006	115	11	to	to	PART
cana-6006	115	12	detect	detect	VERB
cana-6006	115	13	hemorrhages	hemorrhage	NOUN
cana-6006	115	14	in	in	ADP
cana-6006	115	15	ct	ct	PROPN
cana-6006	115	16	scans	scan	NOUN
cana-6006	115	17	,	,	PUNCT
cana-6006	115	18	providing	provide	VERB
cana-6006	115	19	a	a	DET
cana-6006	115	20	high	high	ADJ
cana-6006	115	21	specificity	specificity	NOUN
cana-6006	115	22	and	and	CCONJ
cana-6006	115	23	low	low	ADJ
cana-6006	115	24	false	false	ADJ
cana-6006	115	25	-	-	PUNCT
cana-6006	115	26	positive	positive	ADJ
cana-6006	115	27	rate	rate	NOUN
cana-6006	115	28	.	.	PUNCT
cana-6006	116	1	yang	yang	PROPN
cana-6006	116	2	et	et	PROPN
cana-6006	116	3	al	al	PROPN
cana-6006	116	4	.	.	PUNCT
cana-6006	117	1	[	[	X
cana-6006	117	2	22	22	NUM
cana-6006	117	3	]	]	PUNCT
cana-6006	117	4	proposed	propose	VERB
cana-6006	117	5	an	an	DET
cana-6006	117	6	advanced	advanced	ADJ
cana-6006	117	7	model	model	NOUN
cana-6006	117	8	that	that	PRON
cana-6006	117	9	integrates	integrate	VERB
cana-6006	117	10	cnn	cnn	PROPN
cana-6006	117	11	and	and	CCONJ
cana-6006	117	12	a	a	DET
cana-6006	117	13	transformer	transformer	NOUN
cana-6006	117	14	architecture	architecture	NOUN
cana-6006	117	15	for	for	ADP
cana-6006	117	16	improved	improved	ADJ
cana-6006	117	17	detection	detection	NOUN
cana-6006	117	18	of	of	ADP
cana-6006	117	19	subtle	subtle	ADJ
cana-6006	117	20	hemorrhages	hemorrhage	NOUN
cana-6006	117	21	.	.	PUNCT
cana-6006	118	1	zhang	zhang	PROPN
cana-6006	118	2	et	et	PROPN
cana-6006	118	3	al	al	PROPN
cana-6006	118	4	.	.	PUNCT
cana-6006	119	1	[	[	X
cana-6006	119	2	23	23	NUM
cana-6006	119	3	]	]	PUNCT
cana-6006	119	4	introduced	introduce	VERB
cana-6006	119	5	a	a	DET
cana-6006	119	6	hybrid	hybrid	ADJ
cana-6006	119	7	cnn	cnn	NOUN
cana-6006	119	8	and	and	CCONJ
cana-6006	119	9	recurrent	recurrent	ADJ
cana-6006	119	10	neural	neural	ADJ
cana-6006	119	11	network	network	NOUN
cana-6006	119	12	(	(	PUNCT
cana-6006	119	13	rnn	rnn	PROPN
cana-6006	119	14	)	)	PUNCT
cana-6006	119	15	model	model	NOUN
cana-6006	119	16	for	for	ADP
cana-6006	119	17	time	time	NOUN
cana-6006	119	18	-	-	PUNCT
cana-6006	119	19	series	series	NOUN
cana-6006	119	20	analysis	analysis	NOUN
cana-6006	119	21	of	of	ADP
cana-6006	119	22	brain	brain	NOUN
cana-6006	119	23	hemorrhage	hemorrhage	NOUN
cana-6006	119	24	progression	progression	NOUN
cana-6006	119	25	in	in	ADP
cana-6006	119	26	ct	ct	PROPN
cana-6006	119	27	scan	scan	PROPN
cana-6006	119	28	sequences	sequence	NOUN
cana-6006	119	29	.	.	PUNCT
cana-6006	120	1	cheng	cheng	PROPN
cana-6006	120	2	et	et	PROPN
cana-6006	120	3	al	al	PROPN
cana-6006	120	4	.	.	PUNCT
cana-6006	121	1	[	[	X
cana-6006	121	2	24	24	NUM
cana-6006	121	3	]	]	PUNCT
cana-6006	121	4	applied	apply	VERB
cana-6006	121	5	a	a	DET
cana-6006	121	6	deep	deep	ADJ
cana-6006	121	7	convolutional	convolutional	ADJ
cana-6006	121	8	approach	approach	NOUN
cana-6006	121	9	for	for	ADP
cana-6006	121	10	real	real	ADJ
cana-6006	121	11	-	-	PUNCT
cana-6006	121	12	time	time	NOUN
cana-6006	121	13	hemorrhage	hemorrhage	NOUN
cana-6006	121	14	detection	detection	NOUN
cana-6006	121	15	in	in	ADP
cana-6006	121	16	emergency	emergency	NOUN
cana-6006	121	17	room	room	NOUN
cana-6006	121	18	settings	setting	NOUN
cana-6006	121	19	,	,	PUNCT
cana-6006	121	20	improving	improve	VERB
cana-6006	121	21	diagnostic	diagnostic	ADJ
cana-6006	121	22	speed	speed	NOUN
cana-6006	121	23	and	and	CCONJ
cana-6006	121	24	accuracy	accuracy	NOUN
cana-6006	121	25	.	.	PUNCT
cana-6006	122	1	vasan	vasan	PROPN
cana-6006	122	2	et	et	PROPN
cana-6006	122	3	al	al	PROPN
cana-6006	122	4	.	.	PUNCT
cana-6006	123	1	[	[	X
cana-6006	123	2	25	25	NUM
cana-6006	123	3	]	]	PUNCT
cana-6006	123	4	developed	develop	VERB
cana-6006	123	5	a	a	DET
cana-6006	123	6	novel	novel	ADJ
cana-6006	123	7	ensemble	ensemble	ADJ
cana-6006	123	8	model	model	NOUN
cana-6006	123	9	combining	combine	VERB
cana-6006	123	10	deep	deep	ADJ
cana-6006	123	11	learning	learning	NOUN
cana-6006	123	12	techniques	technique	NOUN
cana-6006	123	13	with	with	ADP
cana-6006	123	14	decision	decision	NOUN
cana-6006	123	15	trees	tree	NOUN
cana-6006	123	16	to	to	PART
cana-6006	123	17	identify	identify	VERB
cana-6006	123	18	both	both	CCONJ
cana-6006	123	19	acute	acute	ADJ
cana-6006	123	20	and	and	CCONJ
cana-6006	123	21	chronic	chronic	ADJ
cana-6006	123	22	hemorrhages	hemorrhage	NOUN
cana-6006	123	23	in	in	ADP
cana-6006	123	24	brain	brain	NOUN
cana-6006	123	25	scans	scan	NOUN
cana-6006	123	26	.	.	PUNCT
cana-6006	124	1	wang	wang	PROPN
cana-6006	124	2	et	et	PROPN
cana-6006	124	3	al	al	PROPN
cana-6006	124	4	.	.	PUNCT
cana-6006	125	1	[	[	X
cana-6006	125	2	26	26	NUM
cana-6006	125	3	]	]	PUNCT
cana-6006	125	4	explored	explore	VERB
cana-6006	125	5	the	the	DET
cana-6006	125	6	potential	potential	NOUN
cana-6006	125	7	of	of	ADP
cana-6006	125	8	multi	multi	ADJ
cana-6006	125	9	-	-	ADJ
cana-6006	125	10	view	view	ADJ
cana-6006	125	11	cnn	cnn	PROPN
cana-6006	125	12	models	model	NOUN
cana-6006	125	13	for	for	ADP
cana-6006	125	14	detecting	detect	VERB
cana-6006	125	15	different	different	ADJ
cana-6006	125	16	types	type	NOUN
cana-6006	125	17	of	of	ADP
cana-6006	125	18	hemorrhages	hemorrhage	NOUN
cana-6006	125	19	from	from	ADP
cana-6006	125	20	both	both	DET
cana-6006	125	21	mri	mri	NOUN
cana-6006	125	22	and	and	CCONJ
cana-6006	125	23	ct	ct	PROPN
cana-6006	125	24	scans	scan	NOUN
cana-6006	125	25	,	,	PUNCT
cana-6006	125	26	achieving	achieve	VERB
cana-6006	125	27	superior	superior	ADJ
cana-6006	125	28	results	result	NOUN
cana-6006	125	29	in	in	ADP
cana-6006	125	30	model	model	NOUN
cana-6006	125	31	robustness	robustness	NOUN
cana-6006	125	32	.	.	PUNCT
cana-6006	126	1	huang	huang	PROPN
cana-6006	126	2	et	et	PROPN
cana-6006	126	3	al	al	PROPN
cana-6006	126	4	.	.	PUNCT
cana-6006	127	1	[	[	X
cana-6006	127	2	27	27	NUM
cana-6006	127	3	]	]	PUNCT
cana-6006	127	4	investigated	investigate	VERB
cana-6006	127	5	the	the	DET
cana-6006	127	6	effectiveness	effectiveness	NOUN
cana-6006	127	7	of	of	ADP
cana-6006	127	8	a	a	DET
cana-6006	127	9	hybrid	hybrid	ADJ
cana-6006	127	10	neural	neural	ADJ
cana-6006	127	11	network	network	NOUN
cana-6006	127	12	model	model	NOUN
cana-6006	127	13	combining	combine	VERB
cana-6006	127	14	cnn	cnn	PROPN
cana-6006	127	15	with	with	ADP
cana-6006	127	16	adversarial	adversarial	ADJ
cana-6006	127	17	training	training	NOUN
cana-6006	127	18	techniques	technique	NOUN
cana-6006	127	19	for	for	ADP
cana-6006	127	20	improving	improve	VERB
cana-6006	127	21	hemorrhage	hemorrhage	NOUN
cana-6006	127	22	detection	detection	NOUN
cana-6006	127	23	sensitivity	sensitivity	NOUN
cana-6006	127	24	.	.	PUNCT
cana-6006	128	1	in	in	ADP
cana-6006	128	2	today	today	NOUN
cana-6006	128	3	’s	’s	PART
cana-6006	128	4	environment	environment	NOUN
cana-6006	128	5	,	,	PUNCT
cana-6006	128	6	the	the	DET
cana-6006	128	7	rapid	rapid	ADJ
cana-6006	128	8	growth	growth	NOUN
cana-6006	128	9	in	in	ADP
cana-6006	128	10	both	both	CCONJ
cana-6006	128	11	the	the	DET
cana-6006	128	12	variety	variety	NOUN
cana-6006	128	13	and	and	CCONJ
cana-6006	128	14	amount	amount	NOUN
cana-6006	128	15	of	of	ADP
cana-6006	128	16	data	datum	NOUN
cana-6006	128	17	has	have	AUX
cana-6006	128	18	made	make	VERB
cana-6006	128	19	advanced	advanced	ADJ
cana-6006	128	20	processing	processing	NOUN
cana-6006	128	21	methods	method	NOUN
cana-6006	128	22	like	like	ADP
cana-6006	128	23	deep	deep	ADJ
cana-6006	128	24	learning	learning	NOUN
cana-6006	128	25	increasingly	increasingly	ADV
cana-6006	128	26	vital	vital	ADJ
cana-6006	128	27	.	.	PUNCT
cana-6006	129	1	this	this	DET
cana-6006	129	2	research	research	NOUN
cana-6006	129	3	takes	take	VERB
cana-6006	129	4	a	a	DET
cana-6006	129	5	close	close	ADJ
cana-6006	129	6	look	look	NOUN
cana-6006	129	7	at	at	ADP
cana-6006	129	8	how	how	SCONJ
cana-6006	129	9	deep	deep	ADJ
cana-6006	129	10	learning	learning	NOUN
cana-6006	129	11	models	model	NOUN
cana-6006	129	12	can	can	AUX
cana-6006	129	13	be	be	AUX
cana-6006	129	14	applied	apply	VERB
cana-6006	129	15	to	to	PART
cana-6006	129	16	analyze	analyze	VERB
cana-6006	129	17	computed	computed	ADJ
cana-6006	129	18	tomography	tomography	NOUN
cana-6006	129	19	(	(	PUNCT
cana-6006	129	20	ct	ct	NOUN
cana-6006	129	21	)	)	PUNCT
cana-6006	129	22	images	image	NOUN
cana-6006	129	23	,	,	PUNCT
cana-6006	129	24	especially	especially	ADV
cana-6006	129	25	for	for	ADP
cana-6006	129	26	diagnosing	diagnose	VERB
cana-6006	129	27	brain	brain	NOUN
cana-6006	129	28	hemorrhages	hemorrhage	NOUN
cana-6006	129	29	.	.	PUNCT
cana-6006	130	1	the	the	DET
cana-6006	130	2	study	study	NOUN
cana-6006	130	3	introduces	introduce	VERB
cana-6006	130	4	a	a	DET
cana-6006	130	5	novel	novel	ADJ
cana-6006	130	6	deep	deep	ADJ
cana-6006	130	7	learning	learning	NOUN
cana-6006	130	8	approach	approach	NOUN
cana-6006	130	9	that	that	PRON
cana-6006	130	10	excels	excel	VERB
cana-6006	130	11	at	at	ADP
cana-6006	130	12	detecting	detect	VERB
cana-6006	130	13	and	and	CCONJ
cana-6006	130	14	segmenting	segment	VERB
cana-6006	130	15	brain	brain	NOUN
cana-6006	130	16	hemorrhages	hemorrhage	NOUN
cana-6006	130	17	.	.	PUNCT
cana-6006	131	1	by	by	ADP
cana-6006	131	2	integrating	integrate	VERB
cana-6006	131	3	the	the	DET
cana-6006	131	4	mask	mask	NOUN
cana-6006	131	5	scoring	score	VERB
cana-6006	131	6	r	r	X
cana-6006	131	7	-	-	PUNCT
cana-6006	131	8	cnn	cnn	PROPN
cana-6006	131	9	and	and	CCONJ
cana-6006	131	10	efficientnet	efficientnet	ADJ
cana-6006	131	11	-	-	PUNCT
cana-6006	131	12	b2	b2	NOUN
cana-6006	131	13	architectures	architecture	NOUN
cana-6006	131	14	,	,	PUNCT
cana-6006	131	15	the	the	DET
cana-6006	131	16	model	model	NOUN
cana-6006	131	17	provides	provide	VERB
cana-6006	131	18	a	a	DET
cana-6006	131	19	powerful	powerful	ADJ
cana-6006	131	20	solution	solution	NOUN
cana-6006	131	21	for	for	ADP
cana-6006	131	22	both	both	DET
cana-6006	131	23	identifying	identify	VERB
cana-6006	131	24	and	and	CCONJ
cana-6006	131	25	classifying	classify	VERB
cana-6006	131	26	hemorrhages	hemorrhage	NOUN
cana-6006	131	27	in	in	ADP
cana-6006	131	28	ct	ct	PROPN
cana-6006	131	29	scans	scan	NOUN
cana-6006	131	30	.	.	PUNCT
cana-6006	132	1	in	in	ADP
cana-6006	132	2	this	this	DET
cana-6006	132	3	system	system	NOUN
cana-6006	132	4	,	,	PUNCT
cana-6006	132	5	mask	mask	NOUN
cana-6006	132	6	scoring	score	VERB
cana-6006	132	7	r	r	X
cana-6006	132	8	-	-	PUNCT
cana-6006	132	9	cnn	cnn	PROPN
cana-6006	132	10	is	be	AUX
cana-6006	132	11	responsible	responsible	ADJ
cana-6006	132	12	for	for	ADP
cana-6006	132	13	identifying	identify	VERB
cana-6006	132	14	possible	possible	ADJ
cana-6006	132	15	hemorrhagic	hemorrhagic	ADJ
cana-6006	132	16	regions	region	NOUN
cana-6006	132	17	,	,	PUNCT
cana-6006	132	18	while	while	SCONJ
cana-6006	132	19	efficientnet	efficientnet	NOUN
cana-6006	132	20	-	-	PUNCT
cana-6006	132	21	b2	b2	NOUN
cana-6006	132	22	is	be	AUX
cana-6006	132	23	used	use	VERB
cana-6006	132	24	to	to	PART
cana-6006	132	25	classify	classify	VERB
cana-6006	132	26	whether	whether	SCONJ
cana-6006	132	27	these	these	DET
cana-6006	132	28	detected	detect	VERB
cana-6006	132	29	regions	region	NOUN
cana-6006	132	30	actually	actually	ADV
cana-6006	132	31	represent	represent	VERB
cana-6006	132	32	hemorrhages	hemorrhage	NOUN
cana-6006	132	33	.	.	PUNCT
cana-6006	133	1	this	this	DET
cana-6006	133	2	dual	dual	ADJ
cana-6006	133	3	-	-	PUNCT
cana-6006	133	4	stage	stage	NOUN
cana-6006	133	5	strategy	strategy	NOUN
cana-6006	133	6	leads	lead	VERB
cana-6006	133	7	to	to	ADP
cana-6006	133	8	more	more	ADV
cana-6006	133	9	accurate	accurate	ADJ
cana-6006	133	10	and	and	CCONJ
cana-6006	133	11	precise	precise	ADJ
cana-6006	133	12	results	result	NOUN
cana-6006	133	13	in	in	ADP
cana-6006	133	14	medical	medical	ADJ
cana-6006	133	15	image	image	NOUN
cana-6006	133	16	analysis	analysis	NOUN
cana-6006	133	17	.	.	PUNCT
cana-6006	134	1	communications	communication	NOUN
cana-6006	134	2	on	on	ADP
cana-6006	134	3	applied	apply	VERB
cana-6006	134	4	nonlinear	nonlinear	ADJ
cana-6006	134	5	analysis	analysis	NOUN
cana-6006	134	6	issn	issn	NOUN
cana-6006	134	7	:	:	PUNCT
cana-6006	134	8	1074	1074	NUM
cana-6006	134	9	-	-	PUNCT
cana-6006	134	10	133x	133x	NUM
cana-6006	134	11	vol	vol	VERB
cana-6006	134	12	32	32	NUM
cana-6006	134	13	no	no	NOUN
cana-6006	134	14	.	.	PUNCT
cana-6006	135	1	10s	10	NOUN
cana-6006	135	2	(	(	PUNCT
cana-6006	135	3	2025	2025	NUM
cana-6006	135	4	)	)	PUNCT
cana-6006	135	5	3206	3206	NUM
cana-6006	135	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6006	135	7	bai	bai	PROPN
cana-6006	135	8	et	et	PROPN
cana-6006	135	9	al	al	PROPN
cana-6006	135	10	.	.	PUNCT
cana-6006	136	1	[	[	X
cana-6006	136	2	28	28	NUM
cana-6006	136	3	]	]	PUNCT
cana-6006	136	4	developed	develop	VERB
cana-6006	136	5	a	a	DET
cana-6006	136	6	hybrid	hybrid	ADJ
cana-6006	136	7	feature	feature	NOUN
cana-6006	136	8	selection	selection	NOUN
cana-6006	136	9	and	and	CCONJ
cana-6006	136	10	deep	deep	ADJ
cana-6006	136	11	learning	learning	NOUN
cana-6006	136	12	pipeline	pipeline	NOUN
cana-6006	136	13	using	use	VERB
cana-6006	136	14	cnns	cnn	NOUN
cana-6006	136	15	to	to	PART
cana-6006	136	16	enhance	enhance	VERB
cana-6006	136	17	the	the	DET
cana-6006	136	18	detection	detection	NOUN
cana-6006	136	19	of	of	ADP
cana-6006	136	20	small	small	ADJ
cana-6006	136	21	and	and	CCONJ
cana-6006	136	22	hard	hard	ADJ
cana-6006	136	23	-	-	PUNCT
cana-6006	136	24	to	to	ADP
cana-6006	136	25	-	-	PUNCT
cana-6006	136	26	spot	spot	NOUN
cana-6006	136	27	hemorrhages	hemorrhage	NOUN
cana-6006	136	28	.	.	PUNCT
cana-6006	137	1	zheng	zheng	PROPN
cana-6006	137	2	et	et	PROPN
cana-6006	137	3	al	al	PROPN
cana-6006	137	4	.	.	PUNCT
cana-6006	138	1	[	[	X
cana-6006	138	2	29	29	NUM
cana-6006	138	3	]	]	PUNCT
cana-6006	138	4	presented	present	VERB
cana-6006	138	5	a	a	DET
cana-6006	138	6	multiobjective	multiobjective	ADJ
cana-6006	138	7	optimization	optimization	NOUN
cana-6006	138	8	approach	approach	NOUN
cana-6006	138	9	to	to	PART
cana-6006	138	10	enhance	enhance	VERB
cana-6006	138	11	the	the	DET
cana-6006	138	12	trade	trade	NOUN
cana-6006	138	13	-	-	PUNCT
cana-6006	138	14	off	off	NOUN
cana-6006	138	15	between	between	ADP
cana-6006	138	16	sensitivity	sensitivity	NOUN
cana-6006	138	17	and	and	CCONJ
cana-6006	138	18	specificity	specificity	NOUN
cana-6006	138	19	in	in	ADP
cana-6006	138	20	hemorrhage	hemorrhage	NOUN
cana-6006	138	21	detection	detection	NOUN
cana-6006	138	22	models	model	NOUN
cana-6006	138	23	.	.	PUNCT
cana-6006	139	1	cheng	cheng	PROPN
cana-6006	139	2	et	et	PROPN
cana-6006	139	3	al	al	PROPN
cana-6006	139	4	.	.	PUNCT
cana-6006	140	1	[	[	X
cana-6006	140	2	30	30	NUM
cana-6006	140	3	]	]	PUNCT
cana-6006	140	4	proposed	propose	VERB
cana-6006	140	5	a	a	DET
cana-6006	140	6	deep	deep	ADJ
cana-6006	140	7	learning	learning	NOUN
cana-6006	140	8	framework	framework	NOUN
cana-6006	140	9	using	use	VERB
cana-6006	140	10	capsule	capsule	NOUN
cana-6006	140	11	networks	network	NOUN
cana-6006	140	12	for	for	ADP
cana-6006	140	13	automatic	automatic	ADJ
cana-6006	140	14	hemorrhage	hemorrhage	NOUN
cana-6006	140	15	classification	classification	NOUN
cana-6006	140	16	,	,	PUNCT
cana-6006	140	17	improving	improve	VERB
cana-6006	140	18	robustness	robustness	NOUN
cana-6006	140	19	in	in	ADP
cana-6006	140	20	detecting	detect	VERB
cana-6006	140	21	diverse	diverse	ADJ
cana-6006	140	22	hemorrhage	hemorrhage	NOUN
cana-6006	140	23	types	type	NOUN
cana-6006	140	24	.	.	PUNCT
cana-6006	141	1	xie	xie	PROPN
cana-6006	141	2	et	et	PROPN
cana-6006	141	3	al	al	PROPN
cana-6006	141	4	.	.	PUNCT
cana-6006	142	1	[	[	X
cana-6006	142	2	31	31	NUM
cana-6006	142	3	]	]	PUNCT
cana-6006	142	4	utilized	utilize	VERB
cana-6006	142	5	an	an	DET
cana-6006	142	6	ensemble	ensemble	NOUN
cana-6006	142	7	of	of	ADP
cana-6006	142	8	decision	decision	NOUN
cana-6006	142	9	trees	tree	NOUN
cana-6006	142	10	and	and	CCONJ
cana-6006	142	11	cnns	cnn	NOUN
cana-6006	142	12	,	,	PUNCT
cana-6006	142	13	achieving	achieve	VERB
cana-6006	142	14	significant	significant	ADJ
cana-6006	142	15	improvements	improvement	NOUN
cana-6006	142	16	in	in	ADP
cana-6006	142	17	detecting	detect	VERB
cana-6006	142	18	intracerebral	intracerebral	ADJ
cana-6006	142	19	hemorrhages	hemorrhage	NOUN
cana-6006	142	20	in	in	ADP
cana-6006	142	21	unbalanced	unbalanced	ADJ
cana-6006	142	22	datasets	dataset	NOUN
cana-6006	142	23	.	.	PUNCT
cana-6006	143	1	shen	shen	PROPN
cana-6006	143	2	et	et	PROPN
cana-6006	143	3	al	al	PROPN
cana-6006	143	4	.	.	PUNCT
cana-6006	144	1	[	[	X
cana-6006	144	2	32	32	NUM
cana-6006	144	3	]	]	PUNCT
cana-6006	144	4	focused	focus	VERB
cana-6006	144	5	on	on	ADP
cana-6006	144	6	using	use	VERB
cana-6006	144	7	transfer	transfer	NOUN
cana-6006	144	8	learning	learning	NOUN
cana-6006	144	9	to	to	ADP
cana-6006	144	10	fine	fine	ADJ
cana-6006	144	11	-	-	PUNCT
cana-6006	144	12	tune	tune	NOUN
cana-6006	144	13	pre	pre	ADJ
cana-6006	144	14	-	-	ADJ
cana-6006	144	15	trained	train	VERB
cana-6006	144	16	models	model	NOUN
cana-6006	144	17	for	for	ADP
cana-6006	144	18	better	well	ADJ
cana-6006	144	19	hemorrhage	hemorrhage	NOUN
cana-6006	144	20	detection	detection	NOUN
cana-6006	144	21	accuracy	accuracy	NOUN
cana-6006	144	22	in	in	ADP
cana-6006	144	23	underrepresented	underrepresented	ADJ
cana-6006	144	24	populations	population	NOUN
cana-6006	144	25	.	.	PUNCT
cana-6006	145	1	as	as	SCONJ
cana-6006	145	2	automation	automation	NOUN
cana-6006	145	3	systems	system	NOUN
cana-6006	145	4	become	become	VERB
cana-6006	145	5	more	more	ADV
cana-6006	145	6	complex	complex	ADJ
cana-6006	145	7	and	and	CCONJ
cana-6006	145	8	intelligent	intelligent	ADJ
cana-6006	145	9	,	,	PUNCT
cana-6006	145	10	there	there	PRON
cana-6006	145	11	is	be	VERB
cana-6006	145	12	a	a	DET
cana-6006	145	13	growing	grow	VERB
cana-6006	145	14	need	need	NOUN
cana-6006	145	15	to	to	PART
cana-6006	145	16	develop	develop	VERB
cana-6006	145	17	advanced	advanced	ADJ
cana-6006	145	18	intelligent	intelligent	ADJ
cana-6006	145	19	fault	fault	NOUN
cana-6006	145	20	diagnosis	diagnosis	NOUN
cana-6006	145	21	(	(	PUNCT
cana-6006	145	22	ifd	ifd	NOUN
cana-6006	145	23	)	)	PUNCT
cana-6006	145	24	methods	method	NOUN
cana-6006	145	25	.	.	PUNCT
cana-6006	146	1	this	this	DET
cana-6006	146	2	study	study	NOUN
cana-6006	146	3	focuses	focus	VERB
cana-6006	146	4	on	on	ADP
cana-6006	146	5	creating	create	VERB
cana-6006	146	6	explainable	explainable	ADJ
cana-6006	146	7	,	,	PUNCT
cana-6006	146	8	data	datum	NOUN
cana-6006	146	9	-	-	PUNCT
cana-6006	146	10	driven	drive	VERB
cana-6006	146	11	ifd	ifd	NOUN
cana-6006	146	12	techniques	technique	NOUN
cana-6006	146	13	specifically	specifically	ADV
cana-6006	146	14	designed	design	VERB
cana-6006	146	15	for	for	ADP
cana-6006	146	16	nonlinear	nonlinear	ADJ
cana-6006	146	17	dynamic	dynamic	ADJ
cana-6006	146	18	systems	system	NOUN
cana-6006	146	19	,	,	PUNCT
cana-6006	146	20	using	use	VERB
cana-6006	146	21	the	the	DET
cana-6006	146	22	concept	concept	NOUN
cana-6006	146	23	of	of	ADP
cana-6006	146	24	a	a	DET
cana-6006	146	25	suspected	suspect	VERB
cana-6006	146	26	space	space	NOUN
cana-6006	146	27	.	.	PUNCT
cana-6006	147	1	the	the	DET
cana-6006	147	2	method	method	NOUN
cana-6006	147	3	includes	include	VERB
cana-6006	147	4	representing	represent	VERB
cana-6006	147	5	nonlinear	nonlinear	ADJ
cana-6006	147	6	systems	system	NOUN
cana-6006	147	7	using	use	VERB
cana-6006	147	8	a	a	DET
cana-6006	147	9	generalized	generalized	ADJ
cana-6006	147	10	kernel	kernel	NOUN
cana-6006	147	11	framework	framework	NOUN
cana-6006	147	12	that	that	PRON
cana-6006	147	13	supports	support	VERB
cana-6006	147	14	both	both	DET
cana-6006	147	15	the	the	DET
cana-6006	147	16	modeling	modeling	NOUN
cana-6006	147	17	of	of	ADP
cana-6006	147	18	the	the	DET
cana-6006	147	19	system	system	NOUN
cana-6006	147	20	itself	itself	PRON
cana-6006	147	21	and	and	CCONJ
cana-6006	147	22	the	the	DET
cana-6006	147	23	identification	identification	NOUN
cana-6006	147	24	of	of	ADP
cana-6006	147	25	faults	fault	NOUN
cana-6006	147	26	within	within	ADP
cana-6006	147	27	it	it	PRON
cana-6006	147	28	.	.	PUNCT
cana-6006	148	1	a	a	DET
cana-6006	148	2	key	key	ADJ
cana-6006	148	3	achievement	achievement	NOUN
cana-6006	148	4	of	of	ADP
cana-6006	148	5	this	this	DET
cana-6006	148	6	work	work	NOUN
cana-6006	148	7	is	be	AUX
cana-6006	148	8	the	the	DET
cana-6006	148	9	derivation	derivation	NOUN
cana-6006	148	10	of	of	ADP
cana-6006	148	11	a	a	DET
cana-6006	148	12	unified	unified	ADJ
cana-6006	148	13	kernel	kernel	NOUN
cana-6006	148	14	representation	representation	NOUN
cana-6006	148	15	framework	framework	NOUN
cana-6006	148	16	that	that	PRON
cana-6006	148	17	can	can	AUX
cana-6006	148	18	be	be	AUX
cana-6006	148	19	applied	apply	VERB
cana-6006	148	20	effectively	effectively	ADV
cana-6006	148	21	in	in	ADP
cana-6006	148	22	both	both	CCONJ
cana-6006	148	23	unsupervised	unsupervised	ADJ
cana-6006	148	24	and	and	CCONJ
cana-6006	148	25	supervised	supervised	ADJ
cana-6006	148	26	learning	learning	NOUN
cana-6006	148	27	contexts	contexts	NOUN
cana-6006	148	28	.	.	PUNCT
cana-6006	149	1	li	li	PROPN
cana-6006	149	2	et	et	PROPN
cana-6006	149	3	al	al	PROPN
cana-6006	149	4	.	.	PUNCT
cana-6006	150	1	[	[	X
cana-6006	150	2	33	33	NUM
cana-6006	150	3	]	]	PUNCT
cana-6006	150	4	explored	explore	VERB
cana-6006	150	5	the	the	DET
cana-6006	150	6	use	use	NOUN
cana-6006	150	7	of	of	ADP
cana-6006	150	8	a	a	DET
cana-6006	150	9	multi	multi	ADJ
cana-6006	150	10	-	-	ADJ
cana-6006	150	11	stage	stage	ADJ
cana-6006	150	12	detection	detection	NOUN
cana-6006	150	13	pipeline	pipeline	NOUN
cana-6006	150	14	using	use	VERB
cana-6006	150	15	both	both	PRON
cana-6006	150	16	deep	deep	ADJ
cana-6006	150	17	learning	learning	NOUN
cana-6006	150	18	and	and	CCONJ
cana-6006	150	19	traditional	traditional	ADJ
cana-6006	150	20	deep	deep	ADJ
cana-6006	150	21	learning	learning	NOUN
cana-6006	150	22	techniques	technique	NOUN
cana-6006	150	23	for	for	ADP
cana-6006	150	24	brain	brain	NOUN
cana-6006	150	25	hemorrhage	hemorrhage	NOUN
cana-6006	150	26	detection	detection	NOUN
cana-6006	150	27	.	.	PUNCT
cana-6006	151	1	liu	liu	PROPN
cana-6006	151	2	et	et	PROPN
cana-6006	151	3	al	al	PROPN
cana-6006	151	4	.	.	PUNCT
cana-6006	152	1	[	[	X
cana-6006	152	2	34	34	NUM
cana-6006	152	3	]	]	PUNCT
cana-6006	152	4	investigated	investigate	VERB
cana-6006	152	5	the	the	DET
cana-6006	152	6	application	application	NOUN
cana-6006	152	7	of	of	ADP
cana-6006	152	8	generative	generative	ADJ
cana-6006	152	9	adversarial	adversarial	ADJ
cana-6006	152	10	networks	network	NOUN
cana-6006	152	11	for	for	ADP
cana-6006	152	12	creating	create	VERB
cana-6006	152	13	high	high	ADJ
cana-6006	152	14	-	-	PUNCT
cana-6006	152	15	resolution	resolution	NOUN
cana-6006	152	16	medical	medical	ADJ
cana-6006	152	17	images	image	NOUN
cana-6006	152	18	to	to	PART
cana-6006	152	19	improve	improve	VERB
cana-6006	152	20	the	the	DET
cana-6006	152	21	accuracy	accuracy	NOUN
cana-6006	152	22	of	of	ADP
cana-6006	152	23	hemorrhage	hemorrhage	NOUN
cana-6006	152	24	detection	detection	NOUN
cana-6006	152	25	models	model	NOUN
cana-6006	152	26	.	.	PUNCT
cana-6006	153	1	wang	wang	PROPN
cana-6006	153	2	et	et	PROPN
cana-6006	153	3	al	al	PROPN
cana-6006	153	4	.	.	PUNCT
cana-6006	154	1	[	[	X
cana-6006	154	2	35	35	NUM
cana-6006	154	3	]	]	PUNCT
cana-6006	154	4	employed	employ	VERB
cana-6006	154	5	reinforcement	reinforcement	NOUN
cana-6006	154	6	learning	learning	NOUN
cana-6006	154	7	to	to	PART
cana-6006	154	8	continuously	continuously	ADV
cana-6006	154	9	adapt	adapt	VERB
cana-6006	154	10	hemorrhage	hemorrhage	NOUN
cana-6006	154	11	detection	detection	NOUN
cana-6006	154	12	models	model	NOUN
cana-6006	154	13	to	to	ADP
cana-6006	154	14	real	real	ADJ
cana-6006	154	15	-	-	PUNCT
cana-6006	154	16	world	world	NOUN
cana-6006	154	17	,	,	PUNCT
cana-6006	154	18	dynamic	dynamic	ADJ
cana-6006	154	19	clinical	clinical	ADJ
cana-6006	154	20	environments	environment	NOUN
cana-6006	154	21	.	.	PUNCT
cana-6006	155	1	xie	xie	PROPN
cana-6006	155	2	et	et	PROPN
cana-6006	155	3	al	al	PROPN
cana-6006	155	4	.	.	PUNCT
cana-6006	156	1	[	[	X
cana-6006	156	2	36	36	NUM
cana-6006	156	3	]	]	PUNCT
cana-6006	156	4	proposed	propose	VERB
cana-6006	156	5	a	a	DET
cana-6006	156	6	cnn	cnn	PROPN
cana-6006	156	7	-	-	PUNCT
cana-6006	156	8	based	base	VERB
cana-6006	156	9	model	model	NOUN
cana-6006	156	10	for	for	ADP
cana-6006	156	11	detecting	detect	VERB
cana-6006	156	12	hemorrhages	hemorrhage	NOUN
cana-6006	156	13	in	in	ADP
cana-6006	156	14	low	low	ADJ
cana-6006	156	15	-	-	PUNCT
cana-6006	156	16	quality	quality	NOUN
cana-6006	156	17	medical	medical	ADJ
cana-6006	156	18	images	image	NOUN
cana-6006	156	19	,	,	PUNCT
cana-6006	156	20	utilizing	utilize	VERB
cana-6006	156	21	techniques	technique	NOUN
cana-6006	156	22	to	to	PART
cana-6006	156	23	improve	improve	VERB
cana-6006	156	24	feature	feature	NOUN
cana-6006	156	25	extraction	extraction	NOUN
cana-6006	156	26	in	in	ADP
cana-6006	156	27	suboptimal	suboptimal	ADJ
cana-6006	156	28	datasets	dataset	NOUN
cana-6006	156	29	.	.	PUNCT
cana-6006	157	1	gao	gao	PROPN
cana-6006	157	2	et	et	PROPN
cana-6006	157	3	al	al	PROPN
cana-6006	157	4	.	.	PUNCT
cana-6006	158	1	[	[	X
cana-6006	158	2	37	37	NUM
cana-6006	158	3	]	]	PUNCT
cana-6006	158	4	developed	develop	VERB
cana-6006	158	5	a	a	DET
cana-6006	158	6	hybrid	hybrid	ADJ
cana-6006	158	7	deep	deep	ADJ
cana-6006	158	8	learning	learning	NOUN
cana-6006	158	9	model	model	NOUN
cana-6006	158	10	combining	combine	VERB
cana-6006	158	11	cnn	cnn	PROPN
cana-6006	158	12	and	and	CCONJ
cana-6006	158	13	decision	decision	NOUN
cana-6006	158	14	trees	tree	NOUN
cana-6006	158	15	to	to	PART
cana-6006	158	16	achieve	achieve	VERB
cana-6006	158	17	accurate	accurate	ADJ
cana-6006	158	18	hemorrhage	hemorrhage	NOUN
cana-6006	158	19	detection	detection	NOUN
cana-6006	158	20	in	in	ADP
cana-6006	158	21	varying	vary	VERB
cana-6006	158	22	imaging	imaging	NOUN
cana-6006	158	23	conditions	condition	NOUN
cana-6006	158	24	.	.	PUNCT
cana-6006	159	1	xu	xu	PROPN
cana-6006	159	2	et	et	PROPN
cana-6006	160	1	al	al	PROPN
cana-6006	160	2	.	.	PUNCT
cana-6006	161	1	[	[	X
cana-6006	161	2	38	38	NUM
cana-6006	161	3	]	]	PUNCT
cana-6006	161	4	demonstrated	demonstrate	VERB
cana-6006	161	5	the	the	DET
cana-6006	161	6	use	use	NOUN
cana-6006	161	7	of	of	ADP
cana-6006	161	8	2d	2d	NUM
cana-6006	161	9	and	and	CCONJ
cana-6006	161	10	3d	3d	NUM
cana-6006	161	11	cnns	cnn	NOUN
cana-6006	161	12	for	for	ADP
cana-6006	161	13	detecting	detect	VERB
cana-6006	161	14	acute	acute	ADJ
cana-6006	161	15	brain	brain	NOUN
cana-6006	161	16	hemorrhages	hemorrhage	NOUN
cana-6006	161	17	in	in	ADP
cana-6006	161	18	both	both	CCONJ
cana-6006	161	19	ct	ct	PROPN
cana-6006	161	20	and	and	CCONJ
cana-6006	161	21	mri	mri	PROPN
cana-6006	161	22	data	datum	NOUN
cana-6006	161	23	,	,	PUNCT
cana-6006	161	24	enhancing	enhance	VERB
cana-6006	161	25	model	model	NOUN
cana-6006	161	26	versatility	versatility	NOUN
cana-6006	161	27	.	.	PUNCT
cana-6006	162	1	zhang	zhang	PROPN
cana-6006	162	2	et	et	PROPN
cana-6006	162	3	al	al	PROPN
cana-6006	162	4	.	.	PUNCT
cana-6006	163	1	[	[	X
cana-6006	163	2	39	39	NUM
cana-6006	163	3	]	]	PUNCT
cana-6006	163	4	introduced	introduce	VERB
cana-6006	163	5	an	an	DET
cana-6006	163	6	efficient	efficient	ADJ
cana-6006	163	7	multi	multi	ADJ
cana-6006	163	8	-	-	ADJ
cana-6006	163	9	modal	modal	ADJ
cana-6006	163	10	convolutional	convolutional	ADJ
cana-6006	163	11	network	network	NOUN
cana-6006	163	12	that	that	PRON
cana-6006	163	13	combined	combine	VERB
cana-6006	163	14	the	the	DET
cana-6006	163	15	strengths	strength	NOUN
cana-6006	163	16	of	of	ADP
cana-6006	163	17	mri	mri	NOUN
cana-6006	163	18	and	and	CCONJ
cana-6006	163	19	ct	ct	PROPN
cana-6006	163	20	scans	scan	NOUN
cana-6006	163	21	for	for	ADP
cana-6006	163	22	higher	high	ADJ
cana-6006	163	23	sensitivity	sensitivity	NOUN
cana-6006	163	24	in	in	ADP
cana-6006	163	25	detecting	detect	VERB
cana-6006	163	26	brain	brain	NOUN
cana-6006	163	27	hemorrhages	hemorrhage	NOUN
cana-6006	163	28	.	.	PUNCT
cana-6006	164	1	lin	lin	PROPN
cana-6006	164	2	et	et	PROPN
cana-6006	164	3	al	al	PROPN
cana-6006	164	4	.	.	PUNCT
cana-6006	165	1	[	[	X
cana-6006	165	2	40	40	NUM
cana-6006	165	3	]	]	PUNCT
cana-6006	165	4	developed	develop	VERB
cana-6006	165	5	a	a	DET
cana-6006	165	6	hybrid	hybrid	ADJ
cana-6006	165	7	cnn	cnn	NOUN
cana-6006	165	8	-	-	PUNCT
cana-6006	165	9	based	base	VERB
cana-6006	165	10	model	model	NOUN
cana-6006	165	11	with	with	ADP
cana-6006	165	12	data	datum	NOUN
cana-6006	165	13	augmentation	augmentation	NOUN
cana-6006	165	14	techniques	technique	NOUN
cana-6006	165	15	for	for	ADP
cana-6006	165	16	improving	improve	VERB
cana-6006	165	17	hemorrhage	hemorrhage	NOUN
cana-6006	165	18	detection	detection	NOUN
cana-6006	165	19	accuracy	accuracy	NOUN
cana-6006	165	20	in	in	ADP
cana-6006	165	21	imbalanced	imbalanced	ADJ
cana-6006	165	22	medical	medical	ADJ
cana-6006	165	23	datasets	dataset	NOUN
cana-6006	165	24	.	.	PUNCT
cana-6006	166	1	table	table	NOUN
cana-6006	166	2	1	1	NUM
cana-6006	166	3	:	:	PUNCT
cana-6006	166	4	summary	summary	NOUN
cana-6006	166	5	of	of	ADP
cana-6006	166	6	recent	recent	ADJ
cana-6006	166	7	research	research	NOUN
cana-6006	166	8	studies	study	NOUN
cana-6006	166	9	on	on	ADP
cana-6006	166	10	deep	deep	ADJ
cana-6006	166	11	learning	learning	NOUN
cana-6006	166	12	techniques	technique	NOUN
cana-6006	166	13	for	for	ADP
cana-6006	166	14	brain	brain	NOUN
cana-6006	166	15	haemorrhage	haemorrhage	NOUN
cana-6006	166	16	prediction	prediction	NOUN
cana-6006	166	17	methods	method	NOUN
cana-6006	166	18	used	use	VERB
cana-6006	166	19	findings	finding	NOUN
cana-6006	166	20	cnn	cnn	PROPN
cana-6006	166	21	-	-	PUNCT
cana-6006	166	22	based	base	VERB
cana-6006	166	23	segmentation	segmentation	NOUN
cana-6006	166	24	model	model	NOUN
cana-6006	166	25	for	for	ADP
cana-6006	166	26	intracranial	intracranial	ADJ
cana-6006	166	27	hemorrhage	hemorrhage	NOUN
cana-6006	166	28	from	from	ADP
cana-6006	166	29	mri	mri	NOUN
cana-6006	166	30	images	image	NOUN
cana-6006	166	31	[	[	X
cana-6006	166	32	14	14	NUM
cana-6006	166	33	]	]	PUNCT
cana-6006	166	34	.	.	PUNCT
cana-6006	167	1	achieved	achieve	VERB
cana-6006	167	2	high	high	ADJ
cana-6006	167	3	segmentation	segmentation	NOUN
cana-6006	167	4	accuracy	accuracy	NOUN
cana-6006	167	5	;	;	PUNCT
cana-6006	167	6	demonstrated	demonstrate	VERB
cana-6006	167	7	efficient	efficient	ADJ
cana-6006	167	8	localization	localization	NOUN
cana-6006	167	9	of	of	ADP
cana-6006	167	10	hemorrhagic	hemorrhagic	ADJ
cana-6006	167	11	regions	region	NOUN
cana-6006	167	12	in	in	ADP
cana-6006	167	13	mri	mri	NOUN
cana-6006	167	14	scans	scan	NOUN
cana-6006	167	15	an	an	DET
cana-6006	167	16	ensemble	ensemble	ADJ
cana-6006	167	17	deep	deep	ADJ
cana-6006	167	18	learning	learning	NOUN
cana-6006	167	19	framework	framework	NOUN
cana-6006	167	20	applied	apply	VERB
cana-6006	167	21	to	to	ADP
cana-6006	167	22	stomach	stomach	NOUN
cana-6006	167	23	abnormality	abnormality	NOUN
cana-6006	167	24	classification	classification	NOUN
cana-6006	167	25	[	[	X
cana-6006	167	26	15	15	NUM
cana-6006	167	27	]	]	PUNCT
cana-6006	167	28	.	.	PUNCT
cana-6006	168	1	demonstrated	demonstrate	VERB
cana-6006	168	2	robustness	robustness	NOUN
cana-6006	168	3	in	in	ADP
cana-6006	168	4	medical	medical	ADJ
cana-6006	168	5	image	image	NOUN
cana-6006	168	6	classification	classification	NOUN
cana-6006	168	7	tasks	task	NOUN
cana-6006	168	8	;	;	PUNCT
cana-6006	168	9	methodology	methodology	NOUN
cana-6006	168	10	adaptable	adaptable	ADJ
cana-6006	168	11	to	to	ADP
cana-6006	168	12	other	other	ADJ
cana-6006	168	13	medical	medical	ADJ
cana-6006	168	14	domains	domain	NOUN
cana-6006	168	15	,	,	PUNCT
cana-6006	168	16	like	like	ADP
cana-6006	168	17	brain	brain	NOUN
cana-6006	168	18	hemorrhage	hemorrhage	NOUN
cana-6006	168	19	.	.	PUNCT
cana-6006	169	1	communications	communication	NOUN
cana-6006	169	2	on	on	ADP
cana-6006	169	3	applied	apply	VERB
cana-6006	169	4	nonlinear	nonlinear	ADJ
cana-6006	169	5	analysis	analysis	NOUN
cana-6006	169	6	issn	issn	NOUN
cana-6006	169	7	:	:	PUNCT
cana-6006	169	8	1074	1074	NUM
cana-6006	169	9	-	-	PUNCT
cana-6006	169	10	133x	133x	NUM
cana-6006	169	11	vol	vol	VERB
cana-6006	169	12	32	32	NUM
cana-6006	169	13	no	no	NOUN
cana-6006	169	14	.	.	PUNCT
cana-6006	170	1	10s	10	NOUN
cana-6006	170	2	(	(	PUNCT
cana-6006	170	3	2025	2025	NUM
cana-6006	170	4	)	)	PUNCT
cana-6006	170	5	3207	3207	NUM
cana-6006	170	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6006	170	7	deep	deep	ADJ
cana-6006	170	8	learning	learning	NOUN
cana-6006	170	9	-	-	PUNCT
cana-6006	170	10	based	base	VERB
cana-6006	170	11	segmentation	segmentation	NOUN
cana-6006	170	12	of	of	ADP
cana-6006	170	13	intracranial	intracranial	ADJ
cana-6006	170	14	structures	structure	NOUN
cana-6006	170	15	in	in	ADP
cana-6006	170	16	non	non	ADJ
cana-6006	170	17	-	-	ADJ
cana-6006	170	18	contrast	contrast	ADJ
cana-6006	170	19	mri	mri	NOUN
cana-6006	170	20	using	use	VERB
cana-6006	170	21	u	u	NOUN
cana-6006	170	22	-	-	ADJ
cana-6006	170	23	net	net	ADJ
cana-6006	170	24	variants	variant	NOUN
cana-6006	170	25	[	[	X
cana-6006	170	26	16	16	NUM
cana-6006	170	27	]	]	PUNCT
cana-6006	170	28	.	.	PUNCT
cana-6006	171	1	provided	provide	VERB
cana-6006	171	2	insights	insight	NOUN
cana-6006	171	3	into	into	ADP
cana-6006	171	4	structure	structure	NOUN
cana-6006	171	5	-	-	PUNCT
cana-6006	171	6	specific	specific	ADJ
cana-6006	171	7	segmentation	segmentation	NOUN
cana-6006	171	8	,	,	PUNCT
cana-6006	171	9	scalable	scalable	ADJ
cana-6006	171	10	for	for	ADP
cana-6006	171	11	hemorrhage	hemorrhage	NOUN
cana-6006	171	12	-	-	PUNCT
cana-6006	171	13	focused	focus	VERB
cana-6006	171	14	applications	application	NOUN
cana-6006	171	15	fine	fine	ADV
cana-6006	171	16	-	-	PUNCT
cana-6006	171	17	tuned	tune	VERB
cana-6006	171	18	transfer	transfer	NOUN
cana-6006	171	19	learning	learning	NOUN
cana-6006	171	20	models	model	NOUN
cana-6006	171	21	(	(	PUNCT
cana-6006	171	22	vgg16	vgg16	NOUN
cana-6006	171	23	,	,	PUNCT
cana-6006	171	24	resnet50	resnet50	NOUN
cana-6006	171	25	)	)	PUNCT
cana-6006	171	26	for	for	ADP
cana-6006	171	27	brain	brain	NOUN
cana-6006	171	28	hemorrhage	hemorrhage	NOUN
cana-6006	171	29	classification	classification	NOUN
cana-6006	171	30	[	[	X
cana-6006	171	31	17	17	NUM
cana-6006	171	32	]	]	PUNCT
cana-6006	171	33	.	.	PUNCT
cana-6006	172	1	achieving	achieve	VERB
cana-6006	172	2	over	over	ADP
cana-6006	172	3	94	94	NUM
cana-6006	172	4	%	%	NOUN
cana-6006	172	5	classification	classification	NOUN
cana-6006	172	6	accuracy	accuracy	NOUN
cana-6006	172	7	highlighted	highlight	VERB
cana-6006	172	8	the	the	DET
cana-6006	172	9	benefits	benefit	NOUN
cana-6006	172	10	of	of	ADP
cana-6006	172	11	model	model	NOUN
cana-6006	172	12	fine	fine	ADV
cana-6006	172	13	-	-	PUNCT
cana-6006	172	14	tuning	tuning	NOUN
cana-6006	172	15	with	with	ADP
cana-6006	172	16	limited	limited	ADJ
cana-6006	172	17	data	datum	NOUN
cana-6006	172	18	.	.	PUNCT
cana-6006	173	1	ensemble	ensemble	ADJ
cana-6006	173	2	machine	machine	NOUN
cana-6006	173	3	learning	learning	NOUN
cana-6006	173	4	using	use	VERB
cana-6006	173	5	texture	texture	NOUN
cana-6006	173	6	features	feature	NOUN
cana-6006	173	7	from	from	ADP
cana-6006	173	8	ct	ct	NUM
cana-6006	173	9	images	image	NOUN
cana-6006	173	10	[	[	X
cana-6006	173	11	18	18	NUM
cana-6006	173	12	]	]	PUNCT
cana-6006	173	13	.	.	PUNCT
cana-6006	173	14	delivered	deliver	VERB
cana-6006	173	15	superior	superior	ADJ
cana-6006	173	16	performance	performance	NOUN
cana-6006	173	17	in	in	ADP
cana-6006	173	18	classifying	classify	VERB
cana-6006	173	19	hemorrhage	hemorrhage	NOUN
cana-6006	173	20	types	type	NOUN
cana-6006	173	21	,	,	PUNCT
cana-6006	173	22	demonstrated	demonstrate	VERB
cana-6006	173	23	the	the	DET
cana-6006	173	24	effectiveness	effectiveness	NOUN
cana-6006	173	25	of	of	ADP
cana-6006	173	26	texture	texture	NOUN
cana-6006	173	27	-	-	PUNCT
cana-6006	173	28	based	base	VERB
cana-6006	173	29	features	feature	NOUN
cana-6006	173	30	3d	3d	PROPN
cana-6006	173	31	cnn	cnn	PROPN
cana-6006	173	32	with	with	ADP
cana-6006	173	33	attention	attention	NOUN
cana-6006	173	34	modules	module	NOUN
cana-6006	173	35	for	for	ADP
cana-6006	173	36	mri	mri	NOUN
cana-6006	173	37	-	-	PUNCT
cana-6006	173	38	based	base	VERB
cana-6006	173	39	disease	disease	NOUN
cana-6006	173	40	screening	screen	VERB
cana-6006	173	41	(	(	PUNCT
cana-6006	173	42	covid-19	covid-19	PROPN
cana-6006	173	43	,	,	PUNCT
cana-6006	173	44	pneumonia	pneumonia	NOUN
cana-6006	173	45	)	)	PUNCT
cana-6006	174	1	[	[	X
cana-6006	174	2	19	19	NUM
cana-6006	174	3	]	]	PUNCT
cana-6006	174	4	.	.	PUNCT
cana-6006	175	1	significantly	significantly	ADV
cana-6006	175	2	improved	improve	VERB
cana-6006	175	3	feature	feature	NOUN
cana-6006	175	4	learning	learning	NOUN
cana-6006	175	5	and	and	CCONJ
cana-6006	175	6	classification	classification	NOUN
cana-6006	175	7	accuracy	accuracy	NOUN
cana-6006	175	8	;	;	PUNCT
cana-6006	175	9	the	the	DET
cana-6006	175	10	method	method	NOUN
cana-6006	175	11	is	be	AUX
cana-6006	175	12	extendable	extendable	ADJ
cana-6006	175	13	to	to	ADP
cana-6006	175	14	brain	brain	NOUN
cana-6006	175	15	hemorrhage	hemorrhage	NOUN
cana-6006	175	16	detection	detection	NOUN
cana-6006	175	17	lightweight	lightweight	NOUN
cana-6006	175	18	cnn	cnn	PROPN
cana-6006	175	19	model	model	NOUN
cana-6006	175	20	for	for	ADP
cana-6006	175	21	disease	disease	NOUN
cana-6006	175	22	prediction	prediction	NOUN
cana-6006	175	23	in	in	ADP
cana-6006	175	24	ai	ai	ADJ
cana-6006	175	25	-	-	PUNCT
cana-6006	175	26	driven	drive	VERB
cana-6006	175	27	healthcare	healthcare	NOUN
cana-6006	175	28	systems	system	NOUN
cana-6006	175	29	[	[	X
cana-6006	175	30	20	20	NUM
cana-6006	175	31	]	]	PUNCT
cana-6006	175	32	.	.	PUNCT
cana-6006	176	1	achieved	achieve	VERB
cana-6006	176	2	fast	fast	ADJ
cana-6006	176	3	inference	inference	NOUN
cana-6006	176	4	with	with	ADP
cana-6006	176	5	high	high	ADJ
cana-6006	176	6	accuracy	accuracy	NOUN
cana-6006	176	7	;	;	PUNCT
cana-6006	176	8	ideal	ideal	ADJ
cana-6006	176	9	for	for	ADP
cana-6006	176	10	edge	edge	NOUN
cana-6006	176	11	deployment	deployment	NOUN
cana-6006	176	12	in	in	ADP
cana-6006	176	13	real	real	ADJ
cana-6006	176	14	-	-	PUNCT
cana-6006	176	15	time	time	NOUN
cana-6006	176	16	medical	medical	ADJ
cana-6006	176	17	diagnostics	diagnostic	NOUN
cana-6006	176	18	3	3	NUM
cana-6006	176	19	.	.	PUNCT
cana-6006	177	1	research	research	NOUN
cana-6006	177	2	gaps	gap	NOUN
cana-6006	177	3	•	•	ADP
cana-6006	177	4	deep	deep	ADJ
cana-6006	177	5	learning	learning	NOUN
cana-6006	177	6	approaches	approach	NOUN
cana-6006	177	7	achieve	achieve	VERB
cana-6006	177	8	high	high	ADJ
cana-6006	177	9	accuracy	accuracy	NOUN
cana-6006	177	10	but	but	CCONJ
cana-6006	177	11	struggle	struggle	VERB
cana-6006	177	12	with	with	ADP
cana-6006	177	13	underrepresented	underrepresented	ADJ
cana-6006	177	14	classes	class	NOUN
cana-6006	177	15	and	and	CCONJ
cana-6006	177	16	small	small	ADJ
cana-6006	177	17	hemorrhagic	hemorrhagic	NOUN
cana-6006	177	18	lesions	lesion	NOUN
cana-6006	177	19	[	[	X
cana-6006	177	20	14][17	14][17	PROPN
cana-6006	177	21	]	]	X
cana-6006	177	22	.	.	PUNCT
cana-6006	178	1	•	•	NUM
cana-6006	178	2	existing	exist	VERB
cana-6006	178	3	ensemble	ensemble	ADJ
cana-6006	178	4	models	model	NOUN
cana-6006	178	5	show	show	VERB
cana-6006	178	6	good	good	ADJ
cana-6006	178	7	performance	performance	NOUN
cana-6006	178	8	but	but	CCONJ
cana-6006	178	9	are	be	AUX
cana-6006	178	10	often	often	ADV
cana-6006	178	11	computationally	computationally	ADV
cana-6006	178	12	intensive	intensive	ADJ
cana-6006	178	13	,	,	PUNCT
cana-6006	178	14	making	make	VERB
cana-6006	178	15	them	they	PRON
cana-6006	178	16	unsuitable	unsuitable	ADJ
cana-6006	178	17	for	for	ADP
cana-6006	178	18	real	real	ADJ
cana-6006	178	19	-	-	PUNCT
cana-6006	178	20	time	time	NOUN
cana-6006	178	21	clinical	clinical	ADJ
cana-6006	178	22	use	use	NOUN
cana-6006	178	23	[	[	X
cana-6006	178	24	18	18	NUM
cana-6006	178	25	]	]	PUNCT
cana-6006	178	26	.	.	PUNCT
cana-6006	179	1	•	•	NUM
cana-6006	179	2	lightweight	lightweight	NOUN
cana-6006	179	3	cnns	cnn	NOUN
cana-6006	179	4	designed	design	VERB
cana-6006	179	5	for	for	ADP
cana-6006	179	6	edge	edge	NOUN
cana-6006	179	7	deployment	deployment	NOUN
cana-6006	179	8	have	have	AUX
cana-6006	179	9	not	not	PART
cana-6006	179	10	been	be	AUX
cana-6006	179	11	adapted	adapt	VERB
cana-6006	179	12	for	for	ADP
cana-6006	179	13	brain	brain	NOUN
cana-6006	179	14	hemorrhage	hemorrhage	NOUN
cana-6006	179	15	detection	detection	NOUN
cana-6006	179	16	,	,	PUNCT
cana-6006	179	17	multiclass	multiclass	ADJ
cana-6006	179	18	classification	classification	NOUN
cana-6006	179	19	,	,	PUNCT
cana-6006	179	20	and	and	CCONJ
cana-6006	179	21	interpretability	interpretability	NOUN
cana-6006	179	22	in	in	ADP
cana-6006	179	23	clinical	clinical	ADJ
cana-6006	179	24	settings	setting	NOUN
cana-6006	179	25	[	[	X
cana-6006	179	26	20	20	NUM
cana-6006	179	27	]	]	PUNCT
cana-6006	179	28	.	.	PUNCT
cana-6006	180	1	to	to	PART
cana-6006	180	2	address	address	VERB
cana-6006	180	3	these	these	DET
cana-6006	180	4	deficiencies	deficiency	NOUN
cana-6006	180	5	,	,	PUNCT
cana-6006	180	6	our	our	PRON
cana-6006	180	7	work	work	NOUN
cana-6006	180	8	provides	provide	VERB
cana-6006	180	9	an	an	DET
cana-6006	180	10	end	end	NOUN
cana-6006	180	11	-	-	PUNCT
cana-6006	180	12	to	to	ADP
cana-6006	180	13	-	-	PUNCT
cana-6006	180	14	end	end	NOUN
cana-6006	180	15	deep	deep	ADJ
cana-6006	180	16	learning	learning	NOUN
cana-6006	180	17	architecture	architecture	NOUN
cana-6006	180	18	specifically	specifically	ADV
cana-6006	180	19	tailored	tailor	VERB
cana-6006	180	20	for	for	ADP
cana-6006	180	21	multi	multi	ADJ
cana-6006	180	22	-	-	ADJ
cana-6006	180	23	class	class	ADJ
cana-6006	180	24	classification	classification	NOUN
cana-6006	180	25	of	of	ADP
cana-6006	180	26	brain	brain	NOUN
cana-6006	180	27	hemorrhages	hemorrhage	NOUN
cana-6006	180	28	from	from	ADP
cana-6006	180	29	mri	mri	NOUN
cana-6006	180	30	scans	scan	NOUN
cana-6006	180	31	.	.	PUNCT
cana-6006	181	1	the	the	DET
cana-6006	181	2	model	model	NOUN
cana-6006	181	3	is	be	AUX
cana-6006	181	4	based	base	VERB
cana-6006	181	5	on	on	ADP
cana-6006	181	6	a	a	DET
cana-6006	181	7	resnet-50	resnet-50	ADJ
cana-6006	181	8	architecture	architecture	NOUN
cana-6006	181	9	that	that	PRON
cana-6006	181	10	has	have	AUX
cana-6006	181	11	been	be	AUX
cana-6006	181	12	enhanced	enhance	VERB
cana-6006	181	13	with	with	ADP
cana-6006	181	14	squeeze	squeeze	NOUN
cana-6006	181	15	-	-	PUNCT
cana-6006	181	16	and	and	CCONJ
cana-6006	181	17	-	-	PUNCT
cana-6006	181	18	excitation	excitation	NOUN
cana-6006	181	19	(	(	PUNCT
cana-6006	181	20	se	se	X
cana-6006	181	21	)	)	PUNCT
cana-6006	181	22	blocks	block	NOUN
cana-6006	181	23	to	to	PART
cana-6006	181	24	improve	improve	VERB
cana-6006	181	25	its	its	PRON
cana-6006	181	26	ability	ability	NOUN
cana-6006	181	27	to	to	PART
cana-6006	181	28	capture	capture	VERB
cana-6006	181	29	and	and	CCONJ
cana-6006	181	30	represent	represent	VERB
cana-6006	181	31	important	important	ADJ
cana-6006	181	32	features	feature	NOUN
cana-6006	181	33	.	.	PUNCT
cana-6006	182	1	in	in	ADP
cana-6006	182	2	addition	addition	NOUN
cana-6006	182	3	,	,	PUNCT
cana-6006	182	4	grad	grad	NOUN
cana-6006	182	5	-	-	PUNCT
cana-6006	182	6	cam	cam	NOUN
cana-6006	182	7	visualizations	visualization	NOUN
cana-6006	182	8	increase	increase	VERB
cana-6006	182	9	clinical	clinical	ADJ
cana-6006	182	10	interpretability	interpretability	NOUN
cana-6006	182	11	,	,	PUNCT
cana-6006	182	12	which	which	PRON
cana-6006	182	13	is	be	AUX
cana-6006	182	14	an	an	DET
cana-6006	182	15	essential	essential	ADJ
cana-6006	182	16	requirement	requirement	NOUN
cana-6006	182	17	for	for	ADP
cana-6006	182	18	explainable	explainable	ADJ
cana-6006	182	19	ai	ai	NOUN
cana-6006	182	20	in	in	ADP
cana-6006	182	21	medical	medical	ADJ
cana-6006	182	22	diagnosis	diagnosis	NOUN
cana-6006	182	23	.	.	PUNCT
cana-6006	183	1	therefore	therefore	ADV
cana-6006	183	2	,	,	PUNCT
cana-6006	183	3	our	our	PRON
cana-6006	183	4	research	research	NOUN
cana-6006	183	5	addresses	address	VERB
cana-6006	183	6	significant	significant	ADJ
cana-6006	183	7	technological	technological	ADJ
cana-6006	183	8	and	and	CCONJ
cana-6006	183	9	clinical	clinical	ADJ
cana-6006	183	10	gaps	gap	NOUN
cana-6006	183	11	in	in	ADP
cana-6006	183	12	the	the	DET
cana-6006	183	13	current	current	ADJ
cana-6006	183	14	literature	literature	NOUN
cana-6006	183	15	.	.	PUNCT
cana-6006	184	1	4	4	X
cana-6006	184	2	.	.	X
cana-6006	184	3	problem	problem	NOUN
cana-6006	184	4	definition	definition	NOUN
cana-6006	184	5	brain	brain	NOUN
cana-6006	184	6	hemorrhage	hemorrhage	NOUN
cana-6006	184	7	is	be	AUX
cana-6006	184	8	a	a	DET
cana-6006	184	9	serious	serious	ADJ
cana-6006	184	10	medical	medical	ADJ
cana-6006	184	11	emergency	emergency	NOUN
cana-6006	184	12	requiring	require	VERB
cana-6006	184	13	swift	swift	ADJ
cana-6006	184	14	and	and	CCONJ
cana-6006	184	15	precise	precise	ADJ
cana-6006	184	16	diagnosis	diagnosis	NOUN
cana-6006	184	17	.	.	PUNCT
cana-6006	185	1	traditional	traditional	ADJ
cana-6006	185	2	diagnostic	diagnostic	ADJ
cana-6006	185	3	approaches	approach	NOUN
cana-6006	185	4	,	,	PUNCT
cana-6006	185	5	such	such	ADJ
cana-6006	185	6	as	as	ADP
cana-6006	185	7	mri	mri	NOUN
cana-6006	185	8	analysis	analysis	NOUN
cana-6006	185	9	performed	perform	VERB
cana-6006	185	10	by	by	ADP
cana-6006	185	11	radiologists	radiologist	NOUN
cana-6006	185	12	,	,	PUNCT
cana-6006	185	13	can	can	AUX
cana-6006	185	14	be	be	AUX
cana-6006	185	15	time	time	NOUN
cana-6006	185	16	-	-	PUNCT
cana-6006	185	17	consuming	consume	VERB
cana-6006	185	18	and	and	CCONJ
cana-6006	185	19	susceptible	susceptible	ADJ
cana-6006	185	20	to	to	ADP
cana-6006	185	21	human	human	ADJ
cana-6006	185	22	errors	error	NOUN
cana-6006	185	23	.	.	PUNCT
cana-6006	186	1	this	this	DET
cana-6006	186	2	situation	situation	NOUN
cana-6006	186	3	emphasizes	emphasize	VERB
cana-6006	186	4	the	the	DET
cana-6006	186	5	crucial	crucial	ADJ
cana-6006	186	6	need	need	NOUN
cana-6006	186	7	for	for	ADP
cana-6006	186	8	automated	automate	VERB
cana-6006	186	9	systems	system	NOUN
cana-6006	186	10	that	that	PRON
cana-6006	186	11	can	can	AUX
cana-6006	186	12	provide	provide	VERB
cana-6006	186	13	rapid	rapid	ADJ
cana-6006	186	14	and	and	CCONJ
cana-6006	186	15	dependable	dependable	ADJ
cana-6006	186	16	diagnostic	diagnostic	ADJ
cana-6006	186	17	assistance	assistance	NOUN
cana-6006	186	18	.	.	PUNCT
cana-6006	187	1	deep	deep	ADJ
cana-6006	187	2	learning	learning	NOUN
cana-6006	187	3	techniques	technique	NOUN
cana-6006	187	4	,	,	PUNCT
cana-6006	187	5	particularly	particularly	ADV
cana-6006	187	6	convolutional	convolutional	ADJ
cana-6006	187	7	neural	neural	ADJ
cana-6006	187	8	networks	network	NOUN
cana-6006	187	9	(	(	PUNCT
cana-6006	187	10	cnns	cnns	PROPN
cana-6006	187	11	)	)	PUNCT
cana-6006	187	12	,	,	PUNCT
cana-6006	187	13	have	have	AUX
cana-6006	187	14	emerged	emerge	VERB
cana-6006	187	15	as	as	ADP
cana-6006	187	16	powerful	powerful	ADJ
cana-6006	187	17	tools	tool	NOUN
cana-6006	187	18	for	for	ADP
cana-6006	187	19	analyzing	analyze	VERB
cana-6006	187	20	medical	medical	ADJ
cana-6006	187	21	images	image	NOUN
cana-6006	187	22	.	.	PUNCT
cana-6006	188	1	such	such	ADJ
cana-6006	188	2	models	model	NOUN
cana-6006	188	3	are	be	AUX
cana-6006	188	4	capable	capable	ADJ
cana-6006	188	5	of	of	ADP
cana-6006	188	6	automatically	automatically	ADV
cana-6006	188	7	extracting	extract	VERB
cana-6006	188	8	intricate	intricate	ADJ
cana-6006	188	9	features	feature	NOUN
cana-6006	188	10	from	from	ADP
cana-6006	188	11	neuroimaging	neuroimage	VERB
cana-6006	188	12	data	datum	NOUN
cana-6006	188	13	.	.	PUNCT
cana-6006	189	1	another	another	DET
cana-6006	189	2	major	major	ADJ
cana-6006	189	3	challenge	challenge	NOUN
cana-6006	189	4	is	be	AUX
cana-6006	189	5	maintaining	maintain	VERB
cana-6006	189	6	accuracy	accuracy	NOUN
cana-6006	189	7	and	and	CCONJ
cana-6006	189	8	reliability	reliability	NOUN
cana-6006	189	9	across	across	ADP
cana-6006	189	10	diverse	diverse	ADJ
cana-6006	189	11	imaging	imaging	NOUN
cana-6006	189	12	equipment	equipment	NOUN
cana-6006	189	13	and	and	CCONJ
cana-6006	189	14	communications	communication	NOUN
cana-6006	189	15	on	on	ADP
cana-6006	189	16	applied	apply	VERB
cana-6006	189	17	nonlinear	nonlinear	ADJ
cana-6006	189	18	analysis	analysis	NOUN
cana-6006	189	19	issn	issn	NOUN
cana-6006	189	20	:	:	PUNCT
cana-6006	189	21	1074	1074	NUM
cana-6006	189	22	-	-	PUNCT
cana-6006	189	23	133x	133x	NUM
cana-6006	189	24	vol	vol	VERB
cana-6006	189	25	32	32	NUM
cana-6006	189	26	no	no	NOUN
cana-6006	189	27	.	.	PUNCT
cana-6006	190	1	10s	10	NOUN
cana-6006	190	2	(	(	PUNCT
cana-6006	190	3	2025	2025	NUM
cana-6006	190	4	)	)	PUNCT
cana-6006	190	5	3208	3208	NUM
cana-6006	190	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6006	190	7	patient	patient	ADJ
cana-6006	190	8	demographics	demographic	NOUN
cana-6006	190	9	.	.	PUNCT
cana-6006	191	1	this	this	DET
cana-6006	191	2	study	study	NOUN
cana-6006	191	3	focuses	focus	VERB
cana-6006	191	4	on	on	ADP
cana-6006	191	5	developing	develop	VERB
cana-6006	191	6	a	a	DET
cana-6006	191	7	deep	deep	ADJ
cana-6006	191	8	learning	learning	NOUN
cana-6006	191	9	-	-	PUNCT
cana-6006	191	10	based	base	VERB
cana-6006	191	11	approach	approach	NOUN
cana-6006	191	12	to	to	PART
cana-6006	191	13	detect	detect	VERB
cana-6006	191	14	brain	brain	NOUN
cana-6006	191	15	hemorrhages	hemorrhage	NOUN
cana-6006	191	16	from	from	ADP
cana-6006	191	17	imaging	imaging	NOUN
cana-6006	191	18	scans	scan	NOUN
cana-6006	191	19	.	.	PUNCT
cana-6006	192	1	5	5	X
cana-6006	192	2	.	.	X
cana-6006	192	3	research	research	NOUN
cana-6006	192	4	objectives	objective	NOUN
cana-6006	192	5	•	•	ADP
cana-6006	192	6	to	to	PART
cana-6006	192	7	implement	implement	VERB
cana-6006	192	8	data	datum	NOUN
cana-6006	192	9	preprocessing	preprocessing	NOUN
cana-6006	192	10	and	and	CCONJ
cana-6006	192	11	enhancement	enhancement	NOUN
cana-6006	192	12	techniques	technique	NOUN
cana-6006	192	13	to	to	PART
cana-6006	192	14	improve	improve	VERB
cana-6006	192	15	model	model	NOUN
cana-6006	192	16	generalizability	generalizability	NOUN
cana-6006	192	17	.	.	PUNCT
cana-6006	193	1	•	•	NUM
cana-6006	193	2	to	to	PART
cana-6006	193	3	apply	apply	VERB
cana-6006	193	4	and	and	CCONJ
cana-6006	193	5	evaluate	evaluate	VERB
cana-6006	193	6	hybrid	hybrid	ADJ
cana-6006	193	7	convolutional	convolutional	ADJ
cana-6006	193	8	neural	neural	ADJ
cana-6006	193	9	network	network	NOUN
cana-6006	193	10	(	(	PUNCT
cana-6006	193	11	cnn	cnn	PROPN
cana-6006	193	12	)	)	PUNCT
cana-6006	193	13	models	model	NOUN
cana-6006	193	14	on	on	ADP
cana-6006	193	15	brain	brain	NOUN
cana-6006	193	16	haemorrhage	haemorrhage	NOUN
cana-6006	193	17	datasets	dataset	NOUN
cana-6006	193	18	.	.	PUNCT
cana-6006	194	1	•	•	NUM
cana-6006	194	2	to	to	PART
cana-6006	194	3	compare	compare	VERB
cana-6006	194	4	model	model	NOUN
cana-6006	194	5	performance	performance	NOUN
cana-6006	194	6	using	use	VERB
cana-6006	194	7	various	various	ADJ
cana-6006	194	8	evaluation	evaluation	NOUN
cana-6006	194	9	metrics	metric	NOUN
cana-6006	194	10	.	.	PUNCT
cana-6006	195	1	6	6	X
cana-6006	195	2	.	.	NUM
cana-6006	195	3	proposed	propose	VERB
cana-6006	195	4	methodology	methodology	NOUN
cana-6006	195	5	the	the	DET
cana-6006	195	6	approach	approach	NOUN
cana-6006	195	7	of	of	ADP
cana-6006	195	8	this	this	DET
cana-6006	195	9	study	study	NOUN
cana-6006	195	10	utilizes	utilize	VERB
cana-6006	195	11	a	a	DET
cana-6006	195	12	structured	structured	ADJ
cana-6006	195	13	and	and	CCONJ
cana-6006	195	14	deep	deep	ADJ
cana-6006	195	15	learning	learning	NOUN
cana-6006	195	16	pipeline	pipeline	NOUN
cana-6006	195	17	to	to	PART
cana-6006	195	18	transition	transition	VERB
cana-6006	195	19	from	from	ADP
cana-6006	195	20	raw	raw	ADJ
cana-6006	195	21	mri	mri	NOUN
cana-6006	195	22	scan	scan	NOUN
cana-6006	195	23	images	image	NOUN
cana-6006	195	24	to	to	ADP
cana-6006	195	25	predictions	prediction	NOUN
cana-6006	195	26	and	and	CCONJ
cana-6006	195	27	classifications	classification	NOUN
cana-6006	195	28	of	of	ADP
cana-6006	195	29	subtypes	subtype	NOUN
cana-6006	195	30	of	of	ADP
cana-6006	195	31	brain	brain	NOUN
cana-6006	195	32	hemorrhages	hemorrhage	NOUN
cana-6006	195	33	.	.	PUNCT
cana-6006	196	1	the	the	DET
cana-6006	196	2	study	study	NOUN
cana-6006	196	3	first	first	ADV
cana-6006	196	4	preprocesses	preprocesse	VERB
cana-6006	196	5	the	the	DET
cana-6006	196	6	rsna	rsna	PROPN
cana-6006	196	7	intracranial	intracranial	ADJ
cana-6006	196	8	hemorrhage	hemorrhage	NOUN
cana-6006	196	9	detection	detection	NOUN
cana-6006	196	10	dataset	dataset	NOUN
cana-6006	196	11	,	,	PUNCT
cana-6006	196	12	which	which	PRON
cana-6006	196	13	includes	include	VERB
cana-6006	196	14	many	many	ADJ
cana-6006	196	15	normalization	normalization	NOUN
cana-6006	196	16	,	,	PUNCT
cana-6006	196	17	segmentation	segmentation	NOUN
cana-6006	196	18	,	,	PUNCT
cana-6006	196	19	and	and	CCONJ
cana-6006	196	20	augmentation	augmentation	NOUN
cana-6006	196	21	processes	process	NOUN
cana-6006	196	22	to	to	PART
cana-6006	196	23	enhance	enhance	VERB
cana-6006	196	24	the	the	DET
cana-6006	196	25	quality	quality	NOUN
cana-6006	196	26	of	of	ADP
cana-6006	196	27	the	the	DET
cana-6006	196	28	data	datum	NOUN
cana-6006	196	29	and	and	CCONJ
cana-6006	196	30	maximize	maximize	VERB
cana-6006	196	31	the	the	DET
cana-6006	196	32	model	model	NOUN
cana-6006	196	33	's	's	PART
cana-6006	196	34	generalize	generalize	NOUN
cana-6006	196	35	.	.	PUNCT
cana-6006	197	1	the	the	DET
cana-6006	197	2	study	study	NOUN
cana-6006	197	3	utilizes	utilize	VERB
cana-6006	197	4	a	a	DET
cana-6006	197	5	modified	modified	ADJ
cana-6006	197	6	resnet-50	resnet-50	NOUN
cana-6006	197	7	architecture	architecture	NOUN
cana-6006	197	8	,	,	PUNCT
cana-6006	197	9	enhanced	enhance	VERB
cana-6006	197	10	with	with	ADP
cana-6006	197	11	squeeze	squeeze	NOUN
cana-6006	197	12	-	-	PUNCT
cana-6006	197	13	andexcitation	andexcitation	NOUN
cana-6006	197	14	blocks	block	NOUN
cana-6006	197	15	,	,	PUNCT
cana-6006	197	16	to	to	PART
cana-6006	197	17	build	build	VERB
cana-6006	197	18	a	a	DET
cana-6006	197	19	data	datum	NOUN
cana-6006	197	20	representation	representation	NOUN
cana-6006	197	21	and	and	CCONJ
cana-6006	197	22	multi	multi	ADJ
cana-6006	197	23	-	-	ADJ
cana-6006	197	24	class	class	ADJ
cana-6006	197	25	classification	classification	NOUN
cana-6006	197	26	for	for	ADP
cana-6006	197	27	robustness	robustness	NOUN
cana-6006	197	28	,	,	PUNCT
cana-6006	197	29	learning	learn	VERB
cana-6006	197	30	representations	representation	NOUN
cana-6006	197	31	of	of	ADP
cana-6006	197	32	not	not	PART
cana-6006	197	33	only	only	ADJ
cana-6006	197	34	examples	example	NOUN
cana-6006	197	35	of	of	ADP
cana-6006	197	36	different	different	ADJ
cana-6006	197	37	subtypes	subtype	NOUN
cana-6006	197	38	of	of	ADP
cana-6006	197	39	brain	brain	NOUN
cana-6006	197	40	hemorrhages	hemorrhage	NOUN
cana-6006	197	41	but	but	CCONJ
cana-6006	197	42	also	also	ADV
cana-6006	197	43	the	the	DET
cana-6006	197	44	representation	representation	NOUN
cana-6006	197	45	of	of	ADP
cana-6006	197	46	the	the	DET
cana-6006	197	47	underlying	underlie	VERB
cana-6006	197	48	brain	brain	NOUN
cana-6006	197	49	structures	structure	NOUN
cana-6006	197	50	surrounding	surround	VERB
cana-6006	197	51	them	they	PRON
cana-6006	197	52	.	.	PUNCT
cana-6006	198	1	the	the	DET
cana-6006	198	2	model	model	NOUN
cana-6006	198	3	uses	use	VERB
cana-6006	198	4	categorical	categorical	ADJ
cana-6006	198	5	crossentropy	crossentropy	NOUN
cana-6006	198	6	as	as	ADP
cana-6006	198	7	a	a	DET
cana-6006	198	8	loss	loss	NOUN
cana-6006	198	9	function	function	NOUN
cana-6006	198	10	and	and	CCONJ
cana-6006	198	11	uses	use	VERB
cana-6006	198	12	adam	adam	PROPN
cana-6006	198	13	optimizer	optimizer	NOUN
cana-6006	198	14	with	with	ADP
cana-6006	198	15	a	a	DET
cana-6006	198	16	cosine	cosine	NOUN
cana-6006	198	17	annealing	anneal	VERB
cana-6006	198	18	learning	learning	NOUN
cana-6006	198	19	rate	rate	NOUN
cana-6006	198	20	schedule	schedule	NOUN
cana-6006	198	21	.	.	PUNCT
cana-6006	199	1	evaluation	evaluation	NOUN
cana-6006	199	2	metrics	metric	NOUN
cana-6006	199	3	are	be	AUX
cana-6006	199	4	used	use	VERB
cana-6006	199	5	for	for	ADP
cana-6006	199	6	learning	learning	NOUN
cana-6006	199	7	and	and	CCONJ
cana-6006	199	8	performance	performance	NOUN
cana-6006	199	9	,	,	PUNCT
cana-6006	199	10	and	and	CCONJ
cana-6006	199	11	grad	grad	NOUN
cana-6006	199	12	-	-	PUNCT
cana-6006	199	13	cam	cam	NOUN
cana-6006	199	14	maps	map	NOUN
cana-6006	199	15	for	for	ADP
cana-6006	199	16	evaluation	evaluation	NOUN
cana-6006	199	17	and	and	CCONJ
cana-6006	199	18	performance	performance	NOUN
cana-6006	199	19	interpretability	interpretability	NOUN
cana-6006	199	20	.	.	PUNCT
cana-6006	200	1	finally	finally	ADV
cana-6006	200	2	,	,	PUNCT
cana-6006	200	3	the	the	DET
cana-6006	200	4	system	system	NOUN
cana-6006	200	5	is	be	AUX
cana-6006	200	6	deployed	deploy	VERB
cana-6006	200	7	in	in	ADP
cana-6006	200	8	a	a	DET
cana-6006	200	9	cloud	cloud	ADJ
cana-6006	200	10	and	and	CCONJ
cana-6006	200	11	edge	edge	NOUN
cana-6006	200	12	-	-	PUNCT
cana-6006	200	13	ready	ready	ADJ
cana-6006	200	14	approach	approach	NOUN
cana-6006	200	15	.	.	PUNCT
cana-6006	201	1	fig	fig	NOUN
cana-6006	201	2	.	.	PUNCT
cana-6006	202	1	1	1	NUM
cana-6006	202	2	:	:	PUNCT
cana-6006	202	3	block	block	NOUN
cana-6006	202	4	diagram	diagram	NOUN
cana-6006	202	5	of	of	ADP
cana-6006	202	6	the	the	DET
cana-6006	202	7	proposed	propose	VERB
cana-6006	202	8	methodology	methodology	NOUN
cana-6006	202	9	6.1	6.1	NUM
cana-6006	202	10	problem	problem	NOUN
cana-6006	202	11	definition	definition	NOUN
cana-6006	202	12	in	in	ADP
cana-6006	202	13	this	this	DET
cana-6006	202	14	case	case	NOUN
cana-6006	202	15	,	,	PUNCT
cana-6006	202	16	the	the	DET
cana-6006	202	17	problem	problem	NOUN
cana-6006	202	18	is	be	AUX
cana-6006	202	19	the	the	DET
cana-6006	202	20	early	early	ADJ
cana-6006	202	21	and	and	CCONJ
cana-6006	202	22	accurate	accurate	ADJ
cana-6006	202	23	detection	detection	NOUN
cana-6006	202	24	of	of	ADP
cana-6006	202	25	brain	brain	NOUN
cana-6006	202	26	hemorrhage	hemorrhage	NOUN
cana-6006	202	27	from	from	ADP
cana-6006	202	28	mri	mri	NOUN
cana-6006	202	29	images	image	NOUN
cana-6006	202	30	using	use	VERB
cana-6006	202	31	deep	deep	ADJ
cana-6006	202	32	learning	learning	NOUN
cana-6006	202	33	methods	method	NOUN
cana-6006	202	34	.	.	PUNCT
cana-6006	203	1	the	the	DET
cana-6006	203	2	challenge	challenge	NOUN
cana-6006	203	3	lies	lie	VERB
cana-6006	203	4	in	in	ADP
cana-6006	203	5	reducing	reduce	VERB
cana-6006	203	6	diagnostic	diagnostic	ADJ
cana-6006	203	7	delays	delay	NOUN
cana-6006	203	8	,	,	PUNCT
cana-6006	203	9	overcoming	overcome	VERB
cana-6006	203	10	inter	inter	ADJ
cana-6006	203	11	-	-	ADJ
cana-6006	203	12	observer	observer	ADJ
cana-6006	203	13	variability	variability	NOUN
cana-6006	203	14	,	,	PUNCT
cana-6006	203	15	and	and	CCONJ
cana-6006	203	16	addressing	address	VERB
cana-6006	203	17	the	the	DET
cana-6006	203	18	limitations	limitation	NOUN
cana-6006	203	19	of	of	ADP
cana-6006	203	20	conventional	conventional	ADJ
cana-6006	203	21	communications	communication	NOUN
cana-6006	203	22	on	on	ADP
cana-6006	203	23	applied	apply	VERB
cana-6006	203	24	nonlinear	nonlinear	ADJ
cana-6006	203	25	analysis	analysis	NOUN
cana-6006	203	26	issn	issn	NOUN
cana-6006	203	27	:	:	PUNCT
cana-6006	203	28	1074	1074	NUM
cana-6006	203	29	-	-	PUNCT
cana-6006	203	30	133x	133x	NUM
cana-6006	203	31	vol	vol	VERB
cana-6006	203	32	32	32	NUM
cana-6006	203	33	no	no	NOUN
cana-6006	203	34	.	.	PUNCT
cana-6006	204	1	10s	10	NOUN
cana-6006	204	2	(	(	PUNCT
cana-6006	204	3	2025	2025	NUM
cana-6006	204	4	)	)	PUNCT
cana-6006	204	5	3209	3209	NUM
cana-6006	204	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6006	204	7	radiology	radiology	NOUN
cana-6006	204	8	.	.	PUNCT
cana-6006	205	1	clearly	clearly	ADV
cana-6006	205	2	stating	state	VERB
cana-6006	205	3	the	the	DET
cana-6006	205	4	problem	problem	NOUN
cana-6006	205	5	ensures	ensure	VERB
cana-6006	205	6	that	that	SCONJ
cana-6006	205	7	the	the	DET
cana-6006	205	8	model	model	NOUN
cana-6006	205	9	design	design	NOUN
cana-6006	205	10	,	,	PUNCT
cana-6006	205	11	dataset	dataset	NOUN
cana-6006	205	12	preparation	preparation	NOUN
cana-6006	205	13	,	,	PUNCT
cana-6006	205	14	and	and	CCONJ
cana-6006	205	15	evaluation	evaluation	NOUN
cana-6006	205	16	criteria	criterion	NOUN
cana-6006	205	17	are	be	AUX
cana-6006	205	18	aligned	align	VERB
cana-6006	205	19	with	with	ADP
cana-6006	205	20	the	the	DET
cana-6006	205	21	goal	goal	NOUN
cana-6006	205	22	of	of	ADP
cana-6006	205	23	achieving	achieve	VERB
cana-6006	205	24	reliable	reliable	ADJ
cana-6006	205	25	medical	medical	ADJ
cana-6006	205	26	decision	decision	NOUN
cana-6006	205	27	support	support	NOUN
cana-6006	205	28	.	.	PUNCT
cana-6006	206	1	6.2	6.2	NUM
cana-6006	206	2	data	datum	NOUN
cana-6006	206	3	collection	collection	NOUN
cana-6006	206	4	involves	involve	VERB
cana-6006	206	5	gathering	gather	VERB
cana-6006	206	6	relevant	relevant	ADJ
cana-6006	206	7	and	and	CCONJ
cana-6006	206	8	high	high	ADJ
cana-6006	206	9	-	-	PUNCT
cana-6006	206	10	quality	quality	NOUN
cana-6006	206	11	data	datum	NOUN
cana-6006	206	12	for	for	ADP
cana-6006	206	13	training	training	NOUN
cana-6006	206	14	,	,	PUNCT
cana-6006	206	15	validation	validation	NOUN
cana-6006	206	16	,	,	PUNCT
cana-6006	206	17	and	and	CCONJ
cana-6006	206	18	testing	test	VERB
cana-6006	206	19	the	the	DET
cana-6006	206	20	model	model	NOUN
cana-6006	206	21	.	.	PUNCT
cana-6006	207	1	application	application	NOUN
cana-6006	207	2	in	in	ADP
cana-6006	207	3	this	this	DET
cana-6006	207	4	research	research	NOUN
cana-6006	207	5	:	:	PUNCT
cana-6006	207	6	the	the	DET
cana-6006	207	7	rsna	rsna	PROPN
cana-6006	207	8	brain	brain	NOUN
cana-6006	207	9	hemorrhage	hemorrhage	PROPN
cana-6006	207	10	detection	detection	NOUN
cana-6006	207	11	dataset	dataset	NOUN
cana-6006	207	12	is	be	AUX
cana-6006	207	13	used	use	VERB
cana-6006	207	14	,	,	PUNCT
cana-6006	207	15	containing	contain	VERB
cana-6006	207	16	thousands	thousand	NOUN
cana-6006	207	17	of	of	ADP
cana-6006	207	18	labelled	label	VERB
cana-6006	207	19	mri	mri	NOUN
cana-6006	207	20	scans	scan	NOUN
cana-6006	207	21	representing	represent	VERB
cana-6006	207	22	multiple	multiple	ADJ
cana-6006	207	23	hemorrhage	hemorrhage	NOUN
cana-6006	207	24	types	type	NOUN
cana-6006	207	25	,	,	PUNCT
cana-6006	207	26	ensuring	ensure	VERB
cana-6006	207	27	diversity	diversity	NOUN
cana-6006	207	28	and	and	CCONJ
cana-6006	207	29	balance	balance	NOUN
cana-6006	207	30	in	in	ADP
cana-6006	207	31	data	data	PROPN
cana-6006	207	32	.	.	PUNCT
cana-6006	208	1	fig	fig	NOUN
cana-6006	208	2	.	.	PUNCT
cana-6006	209	1	2	2	NUM
cana-6006	209	2	:	:	PUNCT
cana-6006	209	3	input	input	NOUN
cana-6006	209	4	mri	mri	NOUN
cana-6006	209	5	image	image	NOUN
cana-6006	209	6	6.3	6.3	NUM
cana-6006	209	7	data	datum	NOUN
cana-6006	209	8	preprocessing	preprocessing	NOUN
cana-6006	209	9	prepares	prepare	VERB
cana-6006	209	10	raw	raw	ADJ
cana-6006	209	11	data	datum	NOUN
cana-6006	209	12	for	for	ADP
cana-6006	209	13	model	model	NOUN
cana-6006	209	14	training	training	NOUN
cana-6006	209	15	by	by	ADP
cana-6006	209	16	cleaning	clean	VERB
cana-6006	209	17	,	,	PUNCT
cana-6006	209	18	normalizing	normalizing	NOUN
cana-6006	209	19	,	,	PUNCT
cana-6006	209	20	and	and	CCONJ
cana-6006	209	21	transforming	transform	VERB
cana-6006	209	22	it	it	PRON
cana-6006	209	23	into	into	ADP
cana-6006	209	24	a	a	DET
cana-6006	209	25	usable	usable	ADJ
cana-6006	209	26	form	form	NOUN
cana-6006	209	27	.	.	PUNCT
cana-6006	210	1	normalization	normalization	NOUN
cana-6006	210	2	:	:	PUNCT
cana-6006	210	3	standardizes	standardize	VERB
cana-6006	210	4	pixel	pixel	PROPN
cana-6006	210	5	values	value	NOUN
cana-6006	210	6	for	for	ADP
cana-6006	210	7	consistent	consistent	ADJ
cana-6006	210	8	learning	learning	NOUN
cana-6006	210	9	.	.	PUNCT
cana-6006	211	1	segmentation	segmentation	NOUN
cana-6006	211	2	:	:	PUNCT
cana-6006	211	3	removes	remove	VERB
cana-6006	211	4	unnecessary	unnecessary	ADJ
cana-6006	211	5	background	background	NOUN
cana-6006	211	6	by	by	ADP
cana-6006	211	7	isolating	isolate	VERB
cana-6006	211	8	brain	brain	NOUN
cana-6006	211	9	regions	region	NOUN
cana-6006	211	10	,	,	PUNCT
cana-6006	211	11	reducing	reduce	VERB
cana-6006	211	12	noise	noise	NOUN
cana-6006	211	13	,	,	PUNCT
cana-6006	211	14	and	and	CCONJ
cana-6006	211	15	improving	improve	VERB
cana-6006	211	16	accuracy	accuracy	NOUN
cana-6006	211	17	.	.	PUNCT
cana-6006	212	1	fig	fig	NOUN
cana-6006	212	2	.	.	PUNCT
cana-6006	213	1	3	3	NUM
cana-6006	213	2	:	:	PUNCT
cana-6006	213	3	data	datum	NOUN
cana-6006	213	4	preprocessing	preprocesse	VERB
cana-6006	213	5	6.4	6.4	NUM
cana-6006	213	6	feature	feature	NOUN
cana-6006	213	7	engineering	engineering	NOUN
cana-6006	213	8	feature	feature	NOUN
cana-6006	213	9	engineering	engineering	NOUN
cana-6006	213	10	is	be	AUX
cana-6006	213	11	vital	vital	ADJ
cana-6006	213	12	for	for	ADP
cana-6006	213	13	improving	improve	VERB
cana-6006	213	14	deep	deep	ADJ
cana-6006	213	15	learning	learning	NOUN
cana-6006	213	16	model	model	NOUN
cana-6006	213	17	performance	performance	NOUN
cana-6006	213	18	by	by	ADP
cana-6006	213	19	highlighting	highlight	VERB
cana-6006	213	20	the	the	DET
cana-6006	213	21	most	most	ADV
cana-6006	213	22	relevant	relevant	ADJ
cana-6006	213	23	aspects	aspect	NOUN
cana-6006	213	24	of	of	ADP
cana-6006	213	25	mri	mri	NOUN
cana-6006	213	26	scans	scan	NOUN
cana-6006	213	27	.	.	PUNCT
cana-6006	214	1	rather	rather	ADV
cana-6006	214	2	than	than	ADP
cana-6006	214	3	depending	depend	VERB
cana-6006	214	4	solely	solely	ADV
cana-6006	214	5	on	on	ADP
cana-6006	214	6	raw	raw	ADJ
cana-6006	214	7	pixel	pixel	PROPN
cana-6006	214	8	data	data	PROPN
cana-6006	214	9	,	,	PUNCT
cana-6006	214	10	the	the	DET
cana-6006	214	11	model	model	NOUN
cana-6006	214	12	learns	learn	VERB
cana-6006	214	13	clinically	clinically	ADV
cana-6006	214	14	important	important	ADJ
cana-6006	214	15	patterns	pattern	NOUN
cana-6006	214	16	that	that	PRON
cana-6006	214	17	help	help	VERB
cana-6006	214	18	differentiate	differentiate	VERB
cana-6006	214	19	normal	normal	ADJ
cana-6006	214	20	brain	brain	NOUN
cana-6006	214	21	structures	structure	NOUN
cana-6006	214	22	from	from	ADP
cana-6006	214	23	hemorrhagic	hemorrhagic	ADJ
cana-6006	214	24	regions	region	NOUN
cana-6006	214	25	.	.	PUNCT
cana-6006	215	1	key	key	ADJ
cana-6006	215	2	elements	element	NOUN
cana-6006	215	3	of	of	ADP
cana-6006	215	4	feature	feature	NOUN
cana-6006	215	5	engineering	engineering	NOUN
cana-6006	215	6	in	in	ADP
cana-6006	215	7	this	this	DET
cana-6006	215	8	study	study	NOUN
cana-6006	215	9	:	:	PUNCT
cana-6006	215	10	6.4.1	6.4.1	NUM
cana-6006	215	11	u	u	NOUN
cana-6006	215	12	-	-	NOUN
cana-6006	215	13	net	net	ADJ
cana-6006	215	14	for	for	ADP
cana-6006	215	15	spatial	spatial	ADJ
cana-6006	215	16	segmentation	segmentation	NOUN
cana-6006	215	17	u	u	NOUN
cana-6006	215	18	-	-	NOUN
cana-6006	215	19	net	net	ADJ
cana-6006	215	20	is	be	AUX
cana-6006	215	21	used	use	VERB
cana-6006	215	22	to	to	PART
cana-6006	215	23	segment	segment	NOUN
cana-6006	215	24	mri	mri	NOUN
cana-6006	215	25	scans	scan	NOUN
cana-6006	215	26	,	,	PUNCT
cana-6006	215	27	separating	separate	VERB
cana-6006	215	28	the	the	DET
cana-6006	215	29	brain	brain	NOUN
cana-6006	215	30	from	from	ADP
cana-6006	215	31	irrelevant	irrelevant	ADJ
cana-6006	215	32	background	background	NOUN
cana-6006	215	33	areas	area	NOUN
cana-6006	215	34	.	.	PUNCT
cana-6006	216	1	this	this	PRON
cana-6006	216	2	reduces	reduce	VERB
cana-6006	216	3	noise	noise	NOUN
cana-6006	216	4	and	and	CCONJ
cana-6006	216	5	directs	direct	VERB
cana-6006	216	6	the	the	DET
cana-6006	216	7	model	model	NOUN
cana-6006	216	8	’s	’s	PART
cana-6006	216	9	attention	attention	NOUN
cana-6006	216	10	to	to	ADP
cana-6006	216	11	diagnostically	diagnostically	ADV
cana-6006	216	12	important	important	ADJ
cana-6006	216	13	regions	region	NOUN
cana-6006	216	14	.	.	PUNCT
cana-6006	217	1	its	its	PRON
cana-6006	217	2	skip	skip	ADJ
cana-6006	217	3	connections	connection	NOUN
cana-6006	217	4	preserve	preserve	VERB
cana-6006	217	5	fine	fine	ADJ
cana-6006	217	6	structural	structural	ADJ
cana-6006	217	7	details	detail	NOUN
cana-6006	217	8	like	like	ADP
cana-6006	217	9	hemorrhage	hemorrhage	NOUN
cana-6006	217	10	boundaries	boundary	NOUN
cana-6006	217	11	,	,	PUNCT
cana-6006	217	12	which	which	PRON
cana-6006	217	13	might	might	AUX
cana-6006	217	14	be	be	AUX
cana-6006	217	15	lost	lose	VERB
cana-6006	217	16	in	in	ADP
cana-6006	217	17	deeper	deep	ADJ
cana-6006	217	18	network	network	NOUN
cana-6006	217	19	layers	layer	NOUN
cana-6006	217	20	.	.	PUNCT
cana-6006	218	1	by	by	ADP
cana-6006	218	2	capturing	capture	VERB
cana-6006	218	3	both	both	CCONJ
cana-6006	218	4	low	low	ADJ
cana-6006	218	5	-	-	PUNCT
cana-6006	218	6	level	level	NOUN
cana-6006	218	7	details	detail	NOUN
cana-6006	218	8	(	(	PUNCT
cana-6006	218	9	edges	edge	NOUN
cana-6006	218	10	,	,	PUNCT
cana-6006	218	11	textures	texture	NOUN
cana-6006	218	12	)	)	PUNCT
cana-6006	218	13	and	and	CCONJ
cana-6006	218	14	high	high	ADJ
cana-6006	218	15	-	-	PUNCT
cana-6006	218	16	level	level	NOUN
cana-6006	218	17	structures	structure	NOUN
cana-6006	218	18	(	(	PUNCT
cana-6006	218	19	shapes	shape	NOUN
cana-6006	218	20	,	,	PUNCT
cana-6006	218	21	lesions	lesion	NOUN
cana-6006	218	22	)	)	PUNCT
cana-6006	218	23	,	,	PUNCT
cana-6006	218	24	u	u	NOUN
cana-6006	218	25	-	-	ADJ
cana-6006	218	26	net	net	ADJ
cana-6006	218	27	ensures	ensure	VERB
cana-6006	218	28	subtle	subtle	ADJ
cana-6006	218	29	hemorrhagic	hemorrhagic	NOUN
cana-6006	218	30	patterns	pattern	NOUN
cana-6006	218	31	are	be	AUX
cana-6006	218	32	detected	detect	VERB
cana-6006	218	33	.	.	PUNCT
cana-6006	219	1	communications	communication	NOUN
cana-6006	219	2	on	on	ADP
cana-6006	219	3	applied	apply	VERB
cana-6006	219	4	nonlinear	nonlinear	ADJ
cana-6006	219	5	analysis	analysis	NOUN
cana-6006	219	6	issn	issn	NOUN
cana-6006	219	7	:	:	PUNCT
cana-6006	219	8	1074	1074	NUM
cana-6006	219	9	-	-	PUNCT
cana-6006	219	10	133x	133x	NUM
cana-6006	219	11	vol	vol	VERB
cana-6006	219	12	32	32	NUM
cana-6006	219	13	no	no	NOUN
cana-6006	219	14	.	.	PUNCT
cana-6006	220	1	10s	10	NOUN
cana-6006	220	2	(	(	PUNCT
cana-6006	220	3	2025	2025	NUM
cana-6006	220	4	)	)	PUNCT
cana-6006	220	5	3210	3210	NUM
cana-6006	220	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6006	220	7	6.4.2	6.4.2	NUM
cana-6006	220	8	squeeze	squeeze	NOUN
cana-6006	220	9	-	-	PUNCT
cana-6006	220	10	and	and	CCONJ
cana-6006	220	11	-	-	PUNCT
cana-6006	220	12	excitation	excitation	NOUN
cana-6006	220	13	(	(	PUNCT
cana-6006	220	14	se	se	ADJ
cana-6006	220	15	)	)	PUNCT
cana-6006	220	16	attention	attention	NOUN
cana-6006	220	17	blocks	block	NOUN
cana-6006	220	18	se	se	X
cana-6006	220	19	blocks	block	NOUN
cana-6006	220	20	are	be	AUX
cana-6006	220	21	incorporated	incorporate	VERB
cana-6006	220	22	into	into	ADP
cana-6006	220	23	the	the	DET
cana-6006	220	24	resnet-50	resnet-50	PROPN
cana-6006	220	25	backbone	backbone	NOUN
cana-6006	220	26	to	to	PART
cana-6006	220	27	recalibrate	recalibrate	VERB
cana-6006	220	28	feature	feature	NOUN
cana-6006	220	29	channels	channel	NOUN
cana-6006	220	30	selectively	selectively	ADV
cana-6006	220	31	.	.	PUNCT
cana-6006	221	1	each	each	DET
cana-6006	221	2	channel	channel	NOUN
cana-6006	221	3	’s	’s	PART
cana-6006	221	4	importance	importance	NOUN
cana-6006	221	5	is	be	AUX
cana-6006	221	6	evaluated	evaluate	VERB
cana-6006	221	7	,	,	PUNCT
cana-6006	221	8	and	and	CCONJ
cana-6006	221	9	weights	weight	NOUN
cana-6006	221	10	are	be	AUX
cana-6006	221	11	assigned	assign	VERB
cana-6006	221	12	to	to	PART
cana-6006	221	13	emphasize	emphasize	VERB
cana-6006	221	14	critical	critical	ADJ
cana-6006	221	15	channels	channel	NOUN
cana-6006	221	16	linked	link	VERB
cana-6006	221	17	to	to	ADP
cana-6006	221	18	hemorrhage	hemorrhage	NOUN
cana-6006	221	19	signals	signal	NOUN
cana-6006	221	20	while	while	SCONJ
cana-6006	221	21	suppressing	suppress	VERB
cana-6006	221	22	less	less	ADV
cana-6006	221	23	important	important	ADJ
cana-6006	221	24	ones	one	NOUN
cana-6006	221	25	.	.	PUNCT
cana-6006	222	1	this	this	PRON
cana-6006	222	2	enhances	enhance	VERB
cana-6006	222	3	the	the	DET
cana-6006	222	4	model	model	NOUN
cana-6006	222	5	’s	’s	PART
cana-6006	222	6	sensitivity	sensitivity	NOUN
cana-6006	222	7	to	to	PART
cana-6006	222	8	hemorrhagic	hemorrhagic	VERB
cana-6006	222	9	features	feature	NOUN
cana-6006	222	10	and	and	CCONJ
cana-6006	222	11	reduces	reduce	VERB
cana-6006	222	12	the	the	DET
cana-6006	222	13	influence	influence	NOUN
cana-6006	222	14	of	of	ADP
cana-6006	222	15	irrelevant	irrelevant	ADJ
cana-6006	222	16	or	or	CCONJ
cana-6006	222	17	redundant	redundant	ADJ
cana-6006	222	18	information	information	NOUN
cana-6006	222	19	.	.	PUNCT
cana-6006	223	1	6.4.3	6.4.3	NUM
cana-6006	223	2	6.4.4	6.4.4	NUM
cana-6006	223	3	combined	combine	VERB
cana-6006	223	4	impact	impact	NOUN
cana-6006	223	5	on	on	ADP
cana-6006	223	6	model	model	NOUN
cana-6006	223	7	accuracy	accuracy	NOUN
cana-6006	223	8	together	together	ADV
cana-6006	223	9	,	,	PUNCT
cana-6006	223	10	u	u	NOUN
cana-6006	223	11	-	-	ADJ
cana-6006	223	12	net	net	ADJ
cana-6006	223	13	segmentation	segmentation	NOUN
cana-6006	223	14	and	and	CCONJ
cana-6006	223	15	se	se	X
cana-6006	223	16	attention	attention	NOUN
cana-6006	223	17	improve	improve	VERB
cana-6006	223	18	the	the	DET
cana-6006	223	19	model	model	NOUN
cana-6006	223	20	’s	’s	PART
cana-6006	223	21	ability	ability	NOUN
cana-6006	223	22	to	to	PART
cana-6006	223	23	extract	extract	VERB
cana-6006	223	24	spatially	spatially	ADV
cana-6006	223	25	precise	precise	ADJ
cana-6006	223	26	and	and	CCONJ
cana-6006	223	27	semantically	semantically	ADV
cana-6006	223	28	meaningful	meaningful	ADJ
cana-6006	223	29	features	feature	NOUN
cana-6006	223	30	.	.	PUNCT
cana-6006	224	1	u	u	NOUN
cana-6006	224	2	-	-	NOUN
cana-6006	224	3	net	net	NOUN
cana-6006	224	4	focuses	focus	VERB
cana-6006	224	5	on	on	ADP
cana-6006	224	6	where	where	SCONJ
cana-6006	224	7	the	the	DET
cana-6006	224	8	hemorrhage	hemorrhage	NOUN
cana-6006	224	9	is	be	AUX
cana-6006	224	10	located	locate	VERB
cana-6006	224	11	,	,	PUNCT
cana-6006	224	12	while	while	SCONJ
cana-6006	224	13	se	se	PROPN
cana-6006	224	14	blocks	block	NOUN
cana-6006	224	15	refine	refine	VERB
cana-6006	224	16	what	what	PRON
cana-6006	224	17	features	feature	NOUN
cana-6006	224	18	are	be	AUX
cana-6006	224	19	most	most	ADV
cana-6006	224	20	important	important	ADJ
cana-6006	224	21	.	.	PUNCT
cana-6006	225	1	this	this	DET
cana-6006	225	2	combination	combination	NOUN
cana-6006	225	3	significantly	significantly	ADV
cana-6006	225	4	boosts	boost	VERB
cana-6006	225	5	the	the	DET
cana-6006	225	6	model	model	NOUN
cana-6006	225	7	’s	’s	PART
cana-6006	225	8	accuracy	accuracy	NOUN
cana-6006	225	9	,	,	PUNCT
cana-6006	225	10	sensitivity	sensitivity	NOUN
cana-6006	225	11	,	,	PUNCT
cana-6006	225	12	and	and	CCONJ
cana-6006	225	13	interpretability	interpretability	NOUN
cana-6006	225	14	,	,	PUNCT
cana-6006	225	15	making	make	VERB
cana-6006	225	16	it	it	PRON
cana-6006	225	17	more	more	ADV
cana-6006	225	18	effective	effective	ADJ
cana-6006	225	19	in	in	ADP
cana-6006	225	20	distinguishing	distinguish	VERB
cana-6006	225	21	brain	brain	NOUN
cana-6006	225	22	hemorrhages	hemorrhage	NOUN
cana-6006	225	23	.	.	PUNCT
cana-6006	226	1	fig	fig	NOUN
cana-6006	226	2	.	.	PUNCT
cana-6006	227	1	4	4	NUM
cana-6006	227	2	:	:	PUNCT
cana-6006	227	3	feature	feature	NOUN
cana-6006	227	4	engineering	engineer	VERB
cana-6006	227	5	6.5	6.5	NUM
cana-6006	227	6	model	model	NOUN
cana-6006	227	7	architecture	architecture	NOUN
cana-6006	227	8	design	design	NOUN
cana-6006	227	9	the	the	DET
cana-6006	227	10	model	model	NOUN
cana-6006	227	11	relies	rely	VERB
cana-6006	227	12	on	on	ADP
cana-6006	227	13	an	an	DET
cana-6006	227	14	adapted	adapted	ADJ
cana-6006	227	15	resnet-50	resnet-50	PROPN
cana-6006	227	16	backbone	backbone	NOUN
cana-6006	227	17	to	to	PART
cana-6006	227	18	extract	extract	VERB
cana-6006	227	19	deep	deep	ADJ
cana-6006	227	20	spatial	spatial	ADJ
cana-6006	227	21	features	feature	NOUN
cana-6006	227	22	from	from	ADP
cana-6006	227	23	mri	mri	NOUN
cana-6006	227	24	scan	scan	NOUN
cana-6006	227	25	images	image	NOUN
cana-6006	227	26	.	.	PUNCT
cana-6006	228	1	next	next	ADJ
cana-6006	228	2	,	,	PUNCT
cana-6006	228	3	additional	additional	ADJ
cana-6006	228	4	convolutional	convolutional	ADJ
cana-6006	228	5	layers	layer	NOUN
cana-6006	228	6	perform	perform	VERB
cana-6006	228	7	fine	fine	ADV
cana-6006	228	8	-	-	PUNCT
cana-6006	228	9	grained	grain	VERB
cana-6006	228	10	feature	feature	NOUN
cana-6006	228	11	extraction	extraction	NOUN
cana-6006	228	12	but	but	CCONJ
cana-6006	228	13	sometimes	sometimes	ADV
cana-6006	228	14	features	feature	NOUN
cana-6006	228	15	may	may	AUX
cana-6006	228	16	be	be	AUX
cana-6006	228	17	overlooked	overlook	VERB
cana-6006	228	18	and	and	CCONJ
cana-6006	228	19	remain	remain	VERB
cana-6006	228	20	activated	activated	ADJ
cana-6006	228	21	.	.	PUNCT
cana-6006	229	1	to	to	PART
cana-6006	229	2	focus	focus	VERB
cana-6006	229	3	the	the	DET
cana-6006	229	4	model	model	NOUN
cana-6006	229	5	's	's	PART
cana-6006	229	6	attention	attention	NOUN
cana-6006	229	7	on	on	ADP
cana-6006	229	8	relevant	relevant	ADJ
cana-6006	229	9	features	feature	NOUN
cana-6006	229	10	,	,	PUNCT
cana-6006	229	11	squeeze	squeeze	NOUN
cana-6006	229	12	-	-	PUNCT
cana-6006	229	13	and	and	CCONJ
cana-6006	229	14	-	-	PUNCT
cana-6006	229	15	excitation	excitation	NOUN
cana-6006	229	16	(	(	PUNCT
cana-6006	229	17	se	se	X
cana-6006	229	18	)	)	PUNCT
cana-6006	229	19	blocks	block	NOUN
cana-6006	229	20	were	be	AUX
cana-6006	229	21	used	use	VERB
cana-6006	229	22	for	for	ADP
cana-6006	229	23	adaptive	adaptive	ADJ
cana-6006	229	24	recalibration	recalibration	NOUN
cana-6006	229	25	of	of	ADP
cana-6006	229	26	channel	channel	NOUN
cana-6006	229	27	-	-	PUNCT
cana-6006	229	28	wise	wise	ADJ
cana-6006	229	29	feature	feature	NOUN
cana-6006	229	30	responses	response	NOUN
cana-6006	229	31	.	.	PUNCT
cana-6006	230	1	features	feature	NOUN
cana-6006	230	2	obtained	obtain	VERB
cana-6006	230	3	after	after	ADP
cana-6006	230	4	adding	add	VERB
cana-6006	230	5	se	se	PROPN
cana-6006	230	6	blocks	block	NOUN
cana-6006	230	7	were	be	AUX
cana-6006	230	8	included	include	VERB
cana-6006	230	9	in	in	ADP
cana-6006	230	10	fully	fully	ADV
cana-6006	230	11	connected	connect	VERB
cana-6006	230	12	(	(	PUNCT
cana-6006	230	13	fc	fc	INTJ
cana-6006	230	14	)	)	PUNCT
cana-6006	230	15	layers	layer	NOUN
cana-6006	230	16	,	,	PUNCT
cana-6006	230	17	incorporating	incorporate	VERB
cana-6006	230	18	batch	batch	NOUN
cana-6006	230	19	normalization	normalization	NOUN
cana-6006	230	20	and	and	CCONJ
cana-6006	230	21	dropout	dropout	NOUN
cana-6006	230	22	to	to	PART
cana-6006	230	23	avoid	avoid	VERB
cana-6006	230	24	over	over	ADP
cana-6006	230	25	-	-	PUNCT
cana-6006	230	26	fitting	fitting	ADJ
cana-6006	230	27	while	while	SCONJ
cana-6006	230	28	stabilizing	stabilize	VERB
cana-6006	230	29	training	training	NOUN
cana-6006	230	30	.	.	PUNCT
cana-6006	231	1	finally	finally	ADV
cana-6006	231	2	,	,	PUNCT
cana-6006	231	3	the	the	DET
cana-6006	231	4	output	output	NOUN
cana-6006	231	5	layer	layer	NOUN
cana-6006	231	6	is	be	AUX
cana-6006	231	7	a	a	DET
cana-6006	231	8	softmax	softmax	NOUN
cana-6006	231	9	function	function	NOUN
cana-6006	231	10	to	to	PART
cana-6006	231	11	classify	classify	VERB
cana-6006	231	12	each	each	DET
cana-6006	231	13	hemorrhage	hemorrhage	NOUN
cana-6006	231	14	class	class	NOUN
cana-6006	231	15	(	(	PUNCT
cana-6006	231	16	multi	multi	ADJ
cana-6006	231	17	-	-	ADJ
cana-6006	231	18	class	class	ADJ
cana-6006	231	19	classification	classification	NOUN
cana-6006	231	20	)	)	PUNCT
cana-6006	231	21	.	.	PUNCT
cana-6006	232	1	the	the	DET
cana-6006	232	2	softmax	softmax	NOUN
cana-6006	232	3	function	function	NOUN
cana-6006	232	4	used	use	VERB
cana-6006	232	5	in	in	ADP
cana-6006	232	6	the	the	DET
cana-6006	232	7	final	final	ADJ
cana-6006	232	8	classification	classification	NOUN
cana-6006	232	9	layer	layer	NOUN
cana-6006	232	10	is	be	AUX
cana-6006	232	11	as	as	SCONJ
cana-6006	232	12	follows	follow	VERB
cana-6006	232	13	:	:	PUNCT
cana-6006	232	14	yî	yî	X
cana-6006	233	1	=	=	PUNCT
cana-6006	233	2	ezi	ezi	PROPN
cana-6006	233	3	∑	∑	PROPN
cana-6006	233	4	ezjc	ezjc	VERB
cana-6006	233	5	j=1	j=1	NOUN
cana-6006	233	6	for	for	ADP
cana-6006	233	7	i	i	PRON
cana-6006	233	8	=	=	SYM
cana-6006	233	9	1,2	1,2	NUM
cana-6006	233	10	,	,	PUNCT
cana-6006	233	11	.	.	PUNCT
cana-6006	233	12	.	.	PUNCT
cana-6006	234	1	.	.	PUNCT
cana-6006	235	1	,	,	PUNCT
cana-6006	235	2	c	c	X
cana-6006	235	3	(	(	PUNCT
cana-6006	235	4	1	1	NUM
cana-6006	235	5	)	)	PUNCT
cana-6006	235	6	where	where	SCONJ
cana-6006	235	7	:	:	PUNCT
cana-6006	235	8	ŷi	ŷi	PROPN
cana-6006	235	9	is	be	AUX
cana-6006	235	10	the	the	DET
cana-6006	235	11	predicted	predict	VERB
cana-6006	235	12	probability	probability	NOUN
cana-6006	235	13	for	for	ADP
cana-6006	235	14	class	class	NOUN
cana-6006	235	15	i	i	PROPN
cana-6006	235	16	zi	zi	PROPN
cana-6006	235	17	is	be	AUX
cana-6006	235	18	the	the	DET
cana-6006	235	19	output	output	NOUN
cana-6006	235	20	(	(	PUNCT
cana-6006	235	21	logit	logit	PROPN
cana-6006	235	22	)	)	PUNCT
cana-6006	235	23	from	from	ADP
cana-6006	235	24	the	the	DET
cana-6006	235	25	final	final	ADJ
cana-6006	235	26	fully	fully	ADV
cana-6006	235	27	connected	connected	ADJ
cana-6006	235	28	layer	layer	NOUN
cana-6006	235	29	for	for	ADP
cana-6006	235	30	class	class	NOUN
cana-6006	236	1	i	i	PRON
cana-6006	236	2	c	c	VERB
cana-6006	236	3	is	be	AUX
cana-6006	236	4	the	the	DET
cana-6006	236	5	total	total	ADJ
cana-6006	236	6	number	number	NOUN
cana-6006	236	7	of	of	ADP
cana-6006	236	8	hemorrhage	hemorrhage	NOUN
cana-6006	236	9	classes	class	NOUN
cana-6006	236	10	the	the	DET
cana-6006	236	11	denominator	denominator	NOUN
cana-6006	236	12	verifies	verifie	NOUN
cana-6006	236	13	that	that	PRON
cana-6006	236	14	all	all	DET
cana-6006	236	15	predicted	predict	VERB
cana-6006	236	16	possibilities	possibility	NOUN
cana-6006	236	17	sum	sum	VERB
cana-6006	236	18	to	to	ADP
cana-6006	236	19	1	1	NUM
cana-6006	236	20	communications	communication	NOUN
cana-6006	236	21	on	on	ADP
cana-6006	236	22	applied	apply	VERB
cana-6006	236	23	nonlinear	nonlinear	ADJ
cana-6006	236	24	analysis	analysis	NOUN
cana-6006	236	25	issn	issn	NOUN
cana-6006	236	26	:	:	PUNCT
cana-6006	236	27	1074	1074	NUM
cana-6006	236	28	-	-	PUNCT
cana-6006	236	29	133x	133x	NUM
cana-6006	236	30	vol	vol	VERB
cana-6006	236	31	32	32	NUM
cana-6006	236	32	no	no	NOUN
cana-6006	236	33	.	.	PUNCT
cana-6006	237	1	10s	10	NOUN
cana-6006	237	2	(	(	PUNCT
cana-6006	237	3	2025	2025	NUM
cana-6006	237	4	)	)	PUNCT
cana-6006	237	5	3211	3211	NUM
cana-6006	238	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-6006	238	2	6.5.1	6.5.1	NUM
cana-6006	238	3	training	training	NOUN
cana-6006	238	4	strategy	strategy	NOUN
cana-6006	238	5	1	1	NUM
cana-6006	238	6	)	)	PUNCT
cana-6006	238	7	loss	loss	NOUN
cana-6006	238	8	function	function	NOUN
cana-6006	238	9	–	–	PUNCT
cana-6006	238	10	categorical	categorical	ADJ
cana-6006	238	11	cross	cross	NOUN
cana-6006	238	12	-	-	NOUN
cana-6006	238	13	entropy	entropy	ADP
cana-6006	238	14	the	the	DET
cana-6006	238	15	model	model	NOUN
cana-6006	238	16	is	be	AUX
cana-6006	238	17	optimized	optimize	VERB
cana-6006	238	18	using	use	VERB
cana-6006	238	19	categorical	categorical	ADJ
cana-6006	238	20	cross	cross	NOUN
cana-6006	238	21	-	-	NOUN
cana-6006	238	22	entropy	entropy	NOUN
cana-6006	238	23	as	as	ADP
cana-6006	238	24	the	the	DET
cana-6006	238	25	loss	loss	NOUN
cana-6006	238	26	function	function	NOUN
cana-6006	238	27	,	,	PUNCT
cana-6006	238	28	which	which	PRON
cana-6006	238	29	calculates	calculate	VERB
cana-6006	238	30	the	the	DET
cana-6006	238	31	amount	amount	NOUN
cana-6006	238	32	of	of	ADP
cana-6006	238	33	difference	difference	NOUN
cana-6006	238	34	between	between	ADP
cana-6006	238	35	the	the	DET
cana-6006	238	36	true	true	ADJ
cana-6006	238	37	label	label	NOUN
cana-6006	238	38	distribution	distribution	NOUN
cana-6006	238	39	y	y	PROPN
cana-6006	238	40	and	and	CCONJ
cana-6006	238	41	the	the	DET
cana-6006	238	42	predicted	predict	VERB
cana-6006	238	43	probability	probability	NOUN
cana-6006	238	44	distribution	distribution	NOUN
cana-6006	238	45	y^	y^	NOUN
cana-6006	238	46	generated	generate	VERB
cana-6006	238	47	from	from	ADP
cana-6006	238	48	the	the	DET
cana-6006	238	49	softmax	softmax	NOUN
cana-6006	238	50	layer	layer	NOUN
cana-6006	238	51	.	.	PUNCT
cana-6006	239	1	l	l	NOUN
cana-6006	240	1	=	=	PUNCT
cana-6006	240	2	−	−	PROPN
cana-6006	240	3	∑	∑	PUNCT
cana-6006	240	4	yilog(ŷ	yilog(ŷ	INTJ
cana-6006	240	5	i	i	INTJ
cana-6006	240	6	)	)	PUNCT
cana-6006	241	1	c	c	PROPN
cana-6006	241	2	i=1	i=1	PROPN
cana-6006	242	1	(	(	PUNCT
cana-6006	242	2	2	2	NUM
cana-6006	242	3	)	)	PUNCT
cana-6006	242	4	where	where	SCONJ
cana-6006	242	5	:	:	PUNCT
cana-6006	242	6	l	l	NOUN
cana-6006	242	7	is	be	AUX
cana-6006	242	8	the	the	DET
cana-6006	242	9	total	total	ADJ
cana-6006	242	10	loss	loss	NOUN
cana-6006	242	11	c	c	NOUN
cana-6006	242	12	is	be	AUX
cana-6006	242	13	no	no	PRON
cana-6006	242	14	.	.	NOUN
cana-6006	242	15	of	of	ADP
cana-6006	242	16	classes	class	NOUN
cana-6006	242	17	(	(	PUNCT
cana-6006	242	18	e.g.	e.g.	ADV
cana-6006	242	19	,	,	PUNCT
cana-6006	242	20	5	5	NUM
cana-6006	242	21	hemorrhage	hemorrhage	NOUN
cana-6006	242	22	types	type	NOUN
cana-6006	242	23	)	)	PUNCT
cana-6006	242	24	yi	yi	PROPN
cana-6006	242	25	is	be	AUX
cana-6006	242	26	the	the	DET
cana-6006	242	27	true	true	ADJ
cana-6006	242	28	label	label	NOUN
cana-6006	242	29	(	(	PUNCT
cana-6006	242	30	one	one	NUM
cana-6006	242	31	-	-	PUNCT
cana-6006	242	32	hot	hot	ADJ
cana-6006	242	33	encoded	encode	VERB
cana-6006	242	34	)	)	PUNCT
cana-6006	242	35	ŷ	ŷ	CCONJ
cana-6006	243	1	i	i	PRON
cana-6006	243	2	is	be	AUX
cana-6006	243	3	the	the	DET
cana-6006	243	4	predicted	predict	VERB
cana-6006	243	5	probability	probability	NOUN
cana-6006	243	6	for	for	ADP
cana-6006	243	7	class	class	NOUN
cana-6006	243	8	i	i	NOUN
cana-6006	243	9	2	2	NUM
cana-6006	243	10	)	)	PUNCT
cana-6006	243	11	optimizer	optimizer	NOUN
cana-6006	243	12	–	–	PUNCT
cana-6006	243	13	adam	adam	NOUN
cana-6006	243	14	with	with	ADP
cana-6006	243	15	cosine	cosine	NOUN
cana-6006	243	16	annealing	anneal	VERB
cana-6006	243	17	an	an	DET
cana-6006	243	18	optimizer	optimizer	NOUN
cana-6006	243	19	called	call	VERB
cana-6006	243	20	adam	adam	PROPN
cana-6006	243	21	combines	combine	VERB
cana-6006	243	22	the	the	DET
cana-6006	243	23	strengths	strength	NOUN
cana-6006	243	24	of	of	ADP
cana-6006	243	25	adaptive	adaptive	ADJ
cana-6006	243	26	gradient	gradient	NOUN
cana-6006	243	27	and	and	CCONJ
cana-6006	243	28	rmsprop	rmsprop	NOUN
cana-6006	243	29	.	.	PUNCT
cana-6006	244	1	the	the	DET
cana-6006	244	2	adam	adam	PROPN
cana-6006	244	3	optimizer	optimizer	NOUN
cana-6006	244	4	will	will	AUX
cana-6006	244	5	also	also	ADV
cana-6006	244	6	use	use	VERB
cana-6006	244	7	a	a	DET
cana-6006	244	8	cosine	cosine	NOUN
cana-6006	244	9	annealing	anneal	VERB
cana-6006	244	10	learning	learning	NOUN
cana-6006	244	11	rate	rate	NOUN
cana-6006	244	12	schedule	schedule	NOUN
cana-6006	244	13	that	that	PRON
cana-6006	244	14	minimizes	minimize	VERB
cana-6006	244	15	the	the	DET
cana-6006	244	16	learning	learning	NOUN
cana-6006	244	17	rate	rate	NOUN
cana-6006	244	18	following	follow	VERB
cana-6006	244	19	a	a	DET
cana-6006	244	20	cosine	cosine	NOUN
cana-6006	244	21	pattern	pattern	NOUN
cana-6006	244	22	:	:	PUNCT
cana-6006	244	23	ηt	ηt	ADP
cana-6006	244	24	=	=	SYM
cana-6006	244	25	ηmin	ηmin	NOUN
cana-6006	244	26	+	+	CCONJ
cana-6006	244	27	1	1	NUM
cana-6006	244	28	2	2	NUM
cana-6006	244	29	(	(	PUNCT
cana-6006	244	30	ηmax	ηmax	ADP
cana-6006	244	31	−	−	NUM
cana-6006	245	1	ηmin)(1	ηmin)(1	PROPN
cana-6006	245	2	+	+	SYM
cana-6006	245	3	cos	cos	PROPN
cana-6006	245	4	(	(	PUNCT
cana-6006	245	5	tcur	tcur	NOUN
cana-6006	245	6	tmax	tmax	ADP
cana-6006	245	7	π	π	PROPN
cana-6006	245	8	)	)	PUNCT
cana-6006	245	9	)	)	PUNCT
cana-6006	245	10	(	(	PUNCT
cana-6006	245	11	3	3	X
cana-6006	245	12	)	)	PUNCT
cana-6006	245	13	where	where	SCONJ
cana-6006	245	14	:	:	PUNCT
cana-6006	245	15	ηt	ηt	ADP
cana-6006	245	16	:	:	PUNCT
cana-6006	245	17	is	be	AUX
cana-6006	245	18	the	the	DET
cana-6006	245	19	learning	learning	NOUN
cana-6006	245	20	rate	rate	NOUN
cana-6006	245	21	at	at	ADP
cana-6006	245	22	time	time	NOUN
cana-6006	245	23	step	step	NOUN
cana-6006	245	24	tcur	tcur	NOUN
cana-6006	245	25	:	:	PUNCT
cana-6006	245	26	is	be	AUX
cana-6006	245	27	the	the	DET
cana-6006	245	28	current	current	ADJ
cana-6006	245	29	epoch	epoch	NOUN
cana-6006	245	30	tmax	tmax	PROPN
cana-6006	245	31	:	:	PUNCT
cana-6006	245	32	is	be	AUX
cana-6006	245	33	the	the	DET
cana-6006	245	34	total	total	ADJ
cana-6006	245	35	number	number	NOUN
cana-6006	245	36	of	of	ADP
cana-6006	245	37	epochs	epoch	NOUN
cana-6006	245	38	ηmax	ηmax	PROPN
cana-6006	245	39	,	,	PUNCT
cana-6006	245	40	ηmin	ηmin	VERB
cana-6006	245	41	:	:	PUNCT
cana-6006	245	42	min	min	NOUN
cana-6006	245	43	and	and	CCONJ
cana-6006	245	44	max	max	PROPN
cana-6006	245	45	learning	learning	NOUN
cana-6006	245	46	rates	rate	NOUN
cana-6006	245	47	3	3	NUM
cana-6006	245	48	)	)	PUNCT
cana-6006	245	49	hyperparameters	hyperparameter	VERB
cana-6006	245	50	the	the	DET
cana-6006	245	51	training	training	NOUN
cana-6006	245	52	setup	setup	NOUN
cana-6006	245	53	was	be	AUX
cana-6006	245	54	carefully	carefully	ADV
cana-6006	245	55	designed	design	VERB
cana-6006	245	56	with	with	ADP
cana-6006	245	57	specific	specific	ADJ
cana-6006	245	58	hyperparameters	hyperparameter	NOUN
cana-6006	245	59	to	to	PART
cana-6006	245	60	strike	strike	VERB
cana-6006	245	61	a	a	DET
cana-6006	245	62	balance	balance	NOUN
cana-6006	245	63	between	between	ADP
cana-6006	245	64	efficiency	efficiency	NOUN
cana-6006	245	65	and	and	CCONJ
cana-6006	245	66	performance	performance	NOUN
cana-6006	245	67	.	.	PUNCT
cana-6006	246	1	a	a	DET
cana-6006	246	2	batch	batch	NOUN
cana-6006	246	3	size	size	NOUN
cana-6006	246	4	of	of	ADP
cana-6006	246	5	32	32	NUM
cana-6006	246	6	was	be	AUX
cana-6006	246	7	chosen	choose	VERB
cana-6006	246	8	to	to	PART
cana-6006	246	9	ensure	ensure	VERB
cana-6006	246	10	stable	stable	ADJ
cana-6006	246	11	updates	update	NOUN
cana-6006	246	12	to	to	ADP
cana-6006	246	13	the	the	DET
cana-6006	246	14	model	model	NOUN
cana-6006	246	15	’s	’s	PART
cana-6006	246	16	parameters	parameter	NOUN
cana-6006	246	17	while	while	SCONJ
cana-6006	246	18	maintaining	maintain	VERB
cana-6006	246	19	good	good	ADJ
cana-6006	246	20	computational	computational	ADJ
cana-6006	246	21	speed	speed	NOUN
cana-6006	246	22	.	.	PUNCT
cana-6006	247	1	the	the	DET
cana-6006	247	2	training	training	NOUN
cana-6006	247	3	ran	run	VERB
cana-6006	247	4	for	for	ADP
cana-6006	247	5	up	up	ADP
cana-6006	247	6	to	to	PART
cana-6006	247	7	50	50	NUM
cana-6006	247	8	epochs	epoch	NOUN
cana-6006	247	9	,	,	PUNCT
cana-6006	247	10	but	but	CCONJ
cana-6006	247	11	early	early	ADJ
cana-6006	247	12	stopping	stopping	NOUN
cana-6006	247	13	was	be	AUX
cana-6006	247	14	used	use	VERB
cana-6006	247	15	to	to	PART
cana-6006	247	16	prevent	prevent	VERB
cana-6006	247	17	overfitting	overfitting	NOUN
cana-6006	247	18	by	by	ADP
cana-6006	247	19	stopping	stop	VERB
cana-6006	247	20	the	the	DET
cana-6006	247	21	process	process	NOUN
cana-6006	247	22	when	when	SCONJ
cana-6006	247	23	the	the	DET
cana-6006	247	24	validation	validation	NOUN
cana-6006	247	25	loss	loss	NOUN
cana-6006	247	26	stopped	stop	VERB
cana-6006	247	27	improving	improve	VERB
cana-6006	247	28	or	or	CCONJ
cana-6006	247	29	began	begin	VERB
cana-6006	247	30	to	to	PART
cana-6006	247	31	get	get	VERB
cana-6006	247	32	worse	bad	ADJ
cana-6006	247	33	.	.	PUNCT
cana-6006	248	1	the	the	DET
cana-6006	248	2	adam	adam	PROPN
cana-6006	248	3	optimizer	optimizer	NOUN
cana-6006	248	4	was	be	AUX
cana-6006	248	5	combined	combine	VERB
cana-6006	248	6	with	with	ADP
cana-6006	248	7	a	a	DET
cana-6006	248	8	cosine	cosine	NOUN
cana-6006	248	9	annealing	anneal	VERB
cana-6006	248	10	learning	learning	NOUN
cana-6006	248	11	rate	rate	NOUN
cana-6006	248	12	scheduler	scheduler	NOUN
cana-6006	248	13	,	,	PUNCT
cana-6006	248	14	which	which	PRON
cana-6006	248	15	slowly	slowly	ADV
cana-6006	248	16	decreases	decrease	VERB
cana-6006	248	17	the	the	DET
cana-6006	248	18	learning	learning	NOUN
cana-6006	248	19	rate	rate	NOUN
cana-6006	248	20	during	during	ADP
cana-6006	248	21	training	training	NOUN
cana-6006	248	22	.	.	PUNCT
cana-6006	249	1	this	this	DET
cana-6006	249	2	approach	approach	NOUN
cana-6006	249	3	helps	help	VERB
cana-6006	249	4	the	the	DET
cana-6006	249	5	model	model	NOUN
cana-6006	249	6	avoid	avoid	VERB
cana-6006	249	7	getting	getting	AUX
cana-6006	249	8	stuck	stick	VERB
cana-6006	249	9	in	in	ADP
cana-6006	249	10	local	local	ADJ
cana-6006	249	11	minima	minima	NOUN
cana-6006	249	12	and	and	CCONJ
cana-6006	249	13	allows	allow	VERB
cana-6006	249	14	finer	fine	ADJ
cana-6006	249	15	adjustments	adjustment	NOUN
cana-6006	249	16	to	to	ADP
cana-6006	249	17	the	the	DET
cana-6006	249	18	weights	weight	NOUN
cana-6006	249	19	in	in	ADP
cana-6006	249	20	later	later	ADJ
cana-6006	249	21	stages	stage	NOUN
cana-6006	249	22	.	.	PUNCT
cana-6006	250	1	the	the	DET
cana-6006	250	2	categorical	categorical	ADJ
cana-6006	250	3	cross	cross	ADJ
cana-6006	250	4	-	-	ADJ
cana-6006	250	5	entropy	entropy	ADJ
cana-6006	250	6	loss	loss	NOUN
cana-6006	250	7	function	function	NOUN
cana-6006	250	8	was	be	AUX
cana-6006	250	9	selected	select	VERB
cana-6006	250	10	because	because	SCONJ
cana-6006	250	11	it	it	PRON
cana-6006	250	12	works	work	VERB
cana-6006	250	13	well	well	ADV
cana-6006	250	14	for	for	ADP
cana-6006	250	15	multi	multi	ADJ
cana-6006	250	16	-	-	ADJ
cana-6006	250	17	class	class	ADJ
cana-6006	250	18	tasks	task	NOUN
cana-6006	250	19	like	like	ADP
cana-6006	250	20	detecting	detect	VERB
cana-6006	250	21	different	different	ADJ
cana-6006	250	22	types	type	NOUN
cana-6006	250	23	of	of	ADP
cana-6006	250	24	brain	brain	NOUN
cana-6006	250	25	hemorrhages	hemorrhage	NOUN
cana-6006	250	26	.	.	PUNCT
cana-6006	251	1	to	to	PART
cana-6006	251	2	boost	boost	VERB
cana-6006	251	3	the	the	DET
cana-6006	251	4	model	model	NOUN
cana-6006	251	5	’s	’s	PART
cana-6006	251	6	ability	ability	NOUN
cana-6006	251	7	to	to	PART
cana-6006	251	8	generalize	generalize	VERB
cana-6006	251	9	,	,	PUNCT
cana-6006	251	10	dropout	dropout	NOUN
cana-6006	251	11	layers	layer	NOUN
cana-6006	251	12	were	be	AUX
cana-6006	251	13	added	add	VERB
cana-6006	251	14	in	in	ADP
cana-6006	251	15	the	the	DET
cana-6006	251	16	fully	fully	ADV
cana-6006	251	17	connected	connected	ADJ
cana-6006	251	18	parts	part	NOUN
cana-6006	251	19	of	of	ADP
cana-6006	251	20	the	the	DET
cana-6006	251	21	network	network	NOUN
cana-6006	251	22	to	to	PART
cana-6006	251	23	reduce	reduce	VERB
cana-6006	251	24	over	over	ADP
cana-6006	251	25	-	-	PUNCT
cana-6006	251	26	reliance	reliance	NOUN
cana-6006	251	27	on	on	ADP
cana-6006	251	28	any	any	DET
cana-6006	251	29	one	one	NUM
cana-6006	251	30	neuron	neuron	NOUN
cana-6006	251	31	,	,	PUNCT
cana-6006	251	32	and	and	CCONJ
cana-6006	251	33	batch	batch	NOUN
cana-6006	251	34	normalization	normalization	NOUN
cana-6006	251	35	was	be	AUX
cana-6006	251	36	applied	apply	VERB
cana-6006	251	37	to	to	PART
cana-6006	251	38	stabilize	stabilize	VERB
cana-6006	251	39	training	training	NOUN
cana-6006	251	40	by	by	ADP
cana-6006	251	41	minimizing	minimize	VERB
cana-6006	251	42	changes	change	NOUN
cana-6006	251	43	in	in	ADP
cana-6006	251	44	internal	internal	ADJ
cana-6006	251	45	data	datum	NOUN
cana-6006	251	46	distributions	distribution	NOUN
cana-6006	251	47	.	.	PUNCT
cana-6006	252	1	additionally	additionally	ADV
cana-6006	252	2	,	,	PUNCT
cana-6006	252	3	mixed	mixed	ADJ
cana-6006	252	4	-	-	PUNCT
cana-6006	252	5	precision	precision	NOUN
cana-6006	252	6	training	training	NOUN
cana-6006	252	7	was	be	AUX
cana-6006	252	8	used	use	VERB
cana-6006	252	9	on	on	ADP
cana-6006	252	10	nvidia	nvidia	PROPN
cana-6006	252	11	tesla	tesla	PROPN
cana-6006	252	12	v100	v100	PROPN
cana-6006	252	13	gpus	gpus	PROPN
cana-6006	252	14	to	to	PART
cana-6006	252	15	reduce	reduce	VERB
cana-6006	252	16	memory	memory	NOUN
cana-6006	252	17	demands	demand	NOUN
cana-6006	252	18	and	and	CCONJ
cana-6006	252	19	speed	speed	VERB
cana-6006	252	20	up	up	ADP
cana-6006	252	21	calculations	calculation	NOUN
cana-6006	252	22	while	while	SCONJ
cana-6006	252	23	keeping	keep	VERB
cana-6006	252	24	accuracy	accuracy	NOUN
cana-6006	252	25	intact	intact	ADJ
cana-6006	252	26	.	.	PUNCT
cana-6006	253	1	communications	communication	NOUN
cana-6006	253	2	on	on	ADP
cana-6006	253	3	applied	apply	VERB
cana-6006	253	4	nonlinear	nonlinear	ADJ
cana-6006	253	5	analysis	analysis	NOUN
cana-6006	253	6	issn	issn	NOUN
cana-6006	253	7	:	:	PUNCT
cana-6006	253	8	1074	1074	NUM
cana-6006	253	9	-	-	PUNCT
cana-6006	253	10	133x	133x	NUM
cana-6006	253	11	vol	vol	VERB
cana-6006	253	12	32	32	NUM
cana-6006	253	13	no	no	NOUN
cana-6006	253	14	.	.	PUNCT
cana-6006	254	1	10s	10	NOUN
cana-6006	254	2	(	(	PUNCT
cana-6006	254	3	2025	2025	NUM
cana-6006	254	4	)	)	PUNCT
cana-6006	254	5	3212	3212	NUM
cana-6006	254	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6006	254	7	4	4	X
cana-6006	254	8	)	)	PUNCT
cana-6006	254	9	hardware	hardware	NOUN
cana-6006	254	10	utilizing	utilize	VERB
cana-6006	254	11	mixed	mixed	ADJ
cana-6006	254	12	-	-	PUNCT
cana-6006	254	13	precision	precision	NOUN
cana-6006	254	14	training	training	NOUN
cana-6006	254	15	with	with	ADP
cana-6006	254	16	nvidia	nvidia	PROPN
cana-6006	254	17	tesla	tesla	PROPN
cana-6006	254	18	v100	v100	PROPN
cana-6006	254	19	gpus	gpu	NOUN
cana-6006	254	20	will	will	AUX
cana-6006	254	21	speed	speed	VERB
cana-6006	254	22	up	up	ADP
cana-6006	254	23	computation	computation	NOUN
cana-6006	254	24	,	,	PUNCT
cana-6006	254	25	as	as	ADV
cana-6006	254	26	well	well	ADV
cana-6006	254	27	as	as	ADP
cana-6006	254	28	lower	low	ADJ
cana-6006	254	29	memory	memory	NOUN
cana-6006	254	30	utilization	utilization	NOUN
cana-6006	254	31	.	.	PUNCT
cana-6006	255	1	mixed	mix	VERB
cana-6006	255	2	-	-	PUNCT
cana-6006	255	3	precision	precision	NOUN
cana-6006	255	4	training	training	NOUN
cana-6006	255	5	leverages	leverage	NOUN
cana-6006	255	6	combinations	combination	NOUN
cana-6006	255	7	of	of	ADP
cana-6006	255	8	16	16	NUM
cana-6006	255	9	-	-	PUNCT
cana-6006	255	10	bit	bit	NOUN
cana-6006	255	11	and	and	CCONJ
cana-6006	255	12	32	32	NUM
cana-6006	255	13	-	-	PUNCT
cana-6006	255	14	bit	bit	NOUN
cana-6006	255	15	floating	float	VERB
cana-6006	255	16	-	-	PUNCT
cana-6006	255	17	point	point	NOUN
cana-6006	255	18	operations	operation	NOUN
cana-6006	255	19	,	,	PUNCT
cana-6006	255	20	improving	improve	VERB
cana-6006	255	21	performance	performance	NOUN
cana-6006	255	22	and	and	CCONJ
cana-6006	255	23	cost	cost	NOUN
cana-6006	255	24	without	without	ADP
cana-6006	255	25	sacrificing	sacrifice	VERB
cana-6006	255	26	the	the	DET
cana-6006	255	27	accuracy	accuracy	NOUN
cana-6006	255	28	of	of	ADP
cana-6006	255	29	the	the	DET
cana-6006	255	30	model	model	NOUN
cana-6006	255	31	.	.	PUNCT
cana-6006	256	1	6.5.2	6.5.2	NUM
cana-6006	256	2	evaluation	evaluation	NOUN
cana-6006	256	3	metrics	metric	NOUN
cana-6006	256	4	we	we	PRON
cana-6006	256	5	evaluate	evaluate	VERB
cana-6006	256	6	models	model	NOUN
cana-6006	256	7	using	use	VERB
cana-6006	256	8	both	both	CCONJ
cana-6006	256	9	conventional	conventional	ADJ
cana-6006	256	10	classification	classification	NOUN
cana-6006	256	11	metrics	metric	NOUN
cana-6006	256	12	to	to	PART
cana-6006	256	13	ensure	ensure	VERB
cana-6006	256	14	both	both	DET
cana-6006	256	15	soundness	soundness	NOUN
cana-6006	256	16	and	and	CCONJ
cana-6006	256	17	translational	translational	ADJ
cana-6006	256	18	applicability	applicability	NOUN
cana-6006	256	19	.	.	PUNCT
cana-6006	257	1	accuracy	accuracy	NOUN
cana-6006	257	2	indicates	indicate	VERB
cana-6006	257	3	the	the	DET
cana-6006	257	4	proportion	proportion	NOUN
cana-6006	257	5	of	of	ADP
cana-6006	257	6	correctly	correctly	ADV
cana-6006	257	7	predicted	predict	VERB
cana-6006	257	8	instances	instance	NOUN
cana-6006	257	9	,	,	PUNCT
cana-6006	257	10	and	and	CCONJ
cana-6006	257	11	precision	precision	NOUN
cana-6006	257	12	and	and	CCONJ
cana-6006	257	13	recall	recall	NOUN
cana-6006	257	14	weigh	weigh	VERB
cana-6006	257	15	the	the	DET
cana-6006	257	16	model	model	NOUN
cana-6006	257	17	's	's	PART
cana-6006	257	18	propensity	propensity	NOUN
cana-6006	257	19	to	to	PART
cana-6006	257	20	identify	identify	VERB
cana-6006	257	21	true	true	ADJ
cana-6006	257	22	positives	positive	NOUN
cana-6006	257	23	while	while	SCONJ
cana-6006	257	24	mitigating	mitigate	VERB
cana-6006	257	25	false	false	ADJ
cana-6006	257	26	positives	positive	NOUN
cana-6006	257	27	and	and	CCONJ
cana-6006	257	28	false	false	ADJ
cana-6006	257	29	negatives	negative	NOUN
cana-6006	257	30	.	.	PUNCT
cana-6006	258	1	the	the	DET
cana-6006	258	2	f1	f1	PROPN
cana-6006	258	3	score	score	NOUN
cana-6006	258	4	serves	serve	VERB
cana-6006	258	5	as	as	ADP
cana-6006	258	6	a	a	DET
cana-6006	258	7	harmonic	harmonic	ADJ
cana-6006	258	8	mean	mean	NOUN
cana-6006	258	9	of	of	ADP
cana-6006	258	10	precision	precision	NOUN
cana-6006	258	11	and	and	CCONJ
cana-6006	258	12	recall	recall	NOUN
cana-6006	258	13	,	,	PUNCT
cana-6006	258	14	and	and	CCONJ
cana-6006	258	15	is	be	AUX
cana-6006	258	16	a	a	DET
cana-6006	258	17	structurally	structurally	ADV
cana-6006	258	18	applicable	applicable	ADJ
cana-6006	258	19	measurement	measurement	NOUN
cana-6006	258	20	,	,	PUNCT
cana-6006	258	21	especially	especially	ADV
cana-6006	258	22	for	for	ADP
cana-6006	258	23	imbalanced	imbalanced	ADJ
cana-6006	258	24	datasets	dataset	NOUN
cana-6006	258	25	.	.	PUNCT
cana-6006	259	1	mathematically	mathematically	ADV
cana-6006	259	2	,	,	PUNCT
cana-6006	259	3	the	the	DET
cana-6006	259	4	accuracy	accuracy	NOUN
cana-6006	259	5	,	,	PUNCT
cana-6006	259	6	precision	precision	NOUN
cana-6006	259	7	,	,	PUNCT
cana-6006	259	8	recall	recall	NOUN
cana-6006	259	9	,	,	PUNCT
cana-6006	259	10	f1	f1	ADJ
cana-6006	259	11	score	score	NOUN
cana-6006	259	12	is	be	AUX
cana-6006	259	13	defined	define	VERB
cana-6006	259	14	as	as	ADP
cana-6006	259	15	:	:	PUNCT
cana-6006	259	16	auc	auc	NOUN
cana-6006	259	17	-	-	PUNCT
cana-6006	259	18	roc	roc	PROPN
cana-6006	259	19	(	(	PUNCT
cana-6006	259	20	area	area	NOUN
cana-6006	259	21	under	under	ADP
cana-6006	259	22	the	the	DET
cana-6006	259	23	curve	curve	NOUN
cana-6006	259	24	receiver	receiver	NOUN
cana-6006	259	25	operating	operate	VERB
cana-6006	259	26	characteristic	characteristic	NOUN
cana-6006	259	27	)	)	PUNCT
cana-6006	259	28	communicates	communicate	VERB
cana-6006	259	29	the	the	DET
cana-6006	259	30	ability	ability	NOUN
cana-6006	259	31	of	of	ADP
cana-6006	259	32	the	the	DET
cana-6006	259	33	model	model	NOUN
cana-6006	259	34	to	to	PART
cana-6006	259	35	distinguish	distinguish	VERB
cana-6006	259	36	between	between	ADP
cana-6006	259	37	classes	class	NOUN
cana-6006	259	38	of	of	ADP
cana-6006	259	39	hemorrhage	hemorrhage	NOUN
cana-6006	259	40	,	,	PUNCT
cana-6006	259	41	where	where	SCONJ
cana-6006	259	42	the	the	PRON
cana-6006	259	43	closer	close	ADJ
cana-6006	259	44	you	you	PRON
cana-6006	259	45	are	be	AUX
cana-6006	259	46	to	to	ADP
cana-6006	259	47	one	one	NUM
cana-6006	259	48	,	,	PUNCT
cana-6006	259	49	the	the	PRON
cana-6006	259	50	better	well	ADJ
cana-6006	259	51	the	the	DET
cana-6006	259	52	distinction	distinction	NOUN
cana-6006	259	53	.	.	PUNCT
cana-6006	260	1	the	the	DET
cana-6006	260	2	confusion	confusion	NOUN
cana-6006	260	3	matrix	matrix	NOUN
cana-6006	260	4	also	also	ADV
cana-6006	260	5	gives	give	VERB
cana-6006	260	6	some	some	DET
cana-6006	260	7	insight	insight	NOUN
cana-6006	260	8	into	into	ADP
cana-6006	260	9	the	the	DET
cana-6006	260	10	prediction	prediction	NOUN
cana-6006	260	11	errors	error	NOUN
cana-6006	260	12	,	,	PUNCT
cana-6006	260	13	by	by	ADP
cana-6006	260	14	comparing	compare	VERB
cana-6006	260	15	the	the	DET
cana-6006	260	16	true	true	ADJ
cana-6006	260	17	vs	vs	SCONJ
cana-6006	260	18	predicted	predict	VERB
cana-6006	260	19	for	for	ADP
cana-6006	260	20	each	each	DET
cana-6006	260	21	subtype	subtype	NOUN
cana-6006	260	22	.	.	PUNCT
cana-6006	261	1	finally	finally	ADV
cana-6006	261	2	,	,	PUNCT
cana-6006	261	3	grad	grad	NOUN
cana-6006	261	4	-	-	PUNCT
cana-6006	261	5	cam	cam	NOUN
cana-6006	261	6	(	(	PUNCT
cana-6006	261	7	gradient	gradient	NOUN
cana-6006	261	8	-	-	PUNCT
cana-6006	261	9	weighted	weight	VERB
cana-6006	261	10	class	class	NOUN
cana-6006	261	11	activation	activation	NOUN
cana-6006	261	12	mapping	mapping	NOUN
cana-6006	261	13	)	)	PUNCT
cana-6006	261	14	heatmaps	heatmap	NOUN
cana-6006	261	15	were	be	AUX
cana-6006	261	16	used	use	VERB
cana-6006	261	17	to	to	PART
cana-6006	261	18	see	see	VERB
cana-6006	261	19	which	which	DET
cana-6006	261	20	areas	area	NOUN
cana-6006	261	21	of	of	ADP
cana-6006	261	22	the	the	DET
cana-6006	261	23	mri	mri	NOUN
cana-6006	261	24	images	image	NOUN
cana-6006	261	25	had	have	VERB
cana-6006	261	26	the	the	DET
cana-6006	261	27	greatest	great	ADJ
cana-6006	261	28	effect	effect	NOUN
cana-6006	261	29	on	on	ADP
cana-6006	261	30	the	the	DET
cana-6006	261	31	model	model	NOUN
cana-6006	261	32	's	's	PART
cana-6006	261	33	decision	decision	NOUN
cana-6006	261	34	,	,	PUNCT
cana-6006	261	35	and	and	CCONJ
cana-6006	261	36	to	to	PART
cana-6006	261	37	assist	assist	VERB
cana-6006	261	38	with	with	ADP
cana-6006	261	39	interpretation	interpretation	NOUN
cana-6006	261	40	to	to	PART
cana-6006	261	41	advance	advance	VERB
cana-6006	261	42	clinical	clinical	ADJ
cana-6006	261	43	adoption	adoption	NOUN
cana-6006	261	44	.	.	PUNCT
cana-6006	262	1	6.5.3	6.5.3	NUM
cana-6006	262	2	training	training	NOUN
cana-6006	262	3	and	and	CCONJ
cana-6006	262	4	testing	test	VERB
cana-6006	262	5	the	the	DET
cana-6006	262	6	dataset	dataset	NOUN
cana-6006	262	7	was	be	AUX
cana-6006	262	8	divided	divide	VERB
cana-6006	262	9	into	into	ADP
cana-6006	262	10	training	training	NOUN
cana-6006	262	11	,	,	PUNCT
cana-6006	262	12	validation	validation	NOUN
cana-6006	262	13	,	,	PUNCT
cana-6006	262	14	and	and	CCONJ
cana-6006	262	15	testing	testing	NOUN
cana-6006	262	16	subsets	subset	NOUN
cana-6006	262	17	to	to	PART
cana-6006	262	18	ensure	ensure	VERB
cana-6006	262	19	reliable	reliable	ADJ
cana-6006	262	20	model	model	NOUN
cana-6006	262	21	evaluation	evaluation	NOUN
cana-6006	262	22	.	.	PUNCT
cana-6006	263	1	approximately	approximately	ADV
cana-6006	263	2	80	80	NUM
cana-6006	263	3	%	%	NOUN
cana-6006	263	4	of	of	ADP
cana-6006	263	5	the	the	DET
cana-6006	263	6	data	datum	NOUN
cana-6006	263	7	was	be	AUX
cana-6006	263	8	allocated	allocate	VERB
cana-6006	263	9	for	for	ADP
cana-6006	263	10	training	training	NOUN
cana-6006	263	11	,	,	PUNCT
cana-6006	263	12	20	20	NUM
cana-6006	263	13	%	%	NOUN
cana-6006	263	14	for	for	ADP
cana-6006	263	15	validation	validation	NOUN
cana-6006	263	16	for	for	ADP
cana-6006	263	17	final	final	ADJ
cana-6006	263	18	testing	testing	NOUN
cana-6006	263	19	.	.	PUNCT
cana-6006	264	1	this	this	DET
cana-6006	264	2	partitioning	partitioning	NOUN
cana-6006	264	3	ensured	ensure	VERB
cana-6006	264	4	that	that	SCONJ
cana-6006	264	5	the	the	DET
cana-6006	264	6	model	model	NOUN
cana-6006	264	7	learned	learn	VERB
cana-6006	264	8	effectively	effectively	ADV
cana-6006	264	9	from	from	ADP
cana-6006	264	10	a	a	DET
cana-6006	264	11	large	large	ADJ
cana-6006	264	12	portion	portion	NOUN
cana-6006	264	13	of	of	ADP
cana-6006	264	14	the	the	DET
cana-6006	264	15	data	datum	NOUN
cana-6006	264	16	while	while	SCONJ
cana-6006	264	17	still	still	ADV
cana-6006	264	18	being	be	AUX
cana-6006	264	19	evaluated	evaluate	VERB
cana-6006	264	20	on	on	ADP
cana-6006	264	21	unseen	unseen	ADJ
cana-6006	264	22	samples	sample	NOUN
cana-6006	264	23	at	at	ADP
cana-6006	264	24	different	different	ADJ
cana-6006	264	25	stages	stage	NOUN
cana-6006	264	26	.	.	PUNCT
cana-6006	265	1	during	during	ADP
cana-6006	265	2	training	training	NOUN
cana-6006	265	3	,	,	PUNCT
cana-6006	265	4	the	the	DET
cana-6006	265	5	model	model	NOUN
cana-6006	265	6	used	use	VERB
cana-6006	265	7	a	a	DET
cana-6006	265	8	batch	batch	NOUN
cana-6006	265	9	size	size	NOUN
cana-6006	265	10	of	of	ADP
cana-6006	265	11	32	32	NUM
cana-6006	265	12	and	and	CCONJ
cana-6006	265	13	was	be	AUX
cana-6006	265	14	optimized	optimize	VERB
cana-6006	265	15	for	for	ADP
cana-6006	265	16	up	up	ADP
cana-6006	265	17	to	to	PART
cana-6006	265	18	50	50	NUM
cana-6006	265	19	epochs	epoch	NOUN
cana-6006	265	20	.	.	PUNCT
cana-6006	266	1	the	the	DET
cana-6006	266	2	adam	adam	PROPN
cana-6006	266	3	optimizer	optimizer	NOUN
cana-6006	266	4	,	,	PUNCT
cana-6006	266	5	combined	combine	VERB
cana-6006	266	6	with	with	ADP
cana-6006	266	7	a	a	DET
cana-6006	266	8	cosine	cosine	NOUN
cana-6006	266	9	annealing	anneal	VERB
cana-6006	266	10	learning	learning	NOUN
cana-6006	266	11	rate	rate	NOUN
cana-6006	266	12	schedule	schedule	NOUN
cana-6006	266	13	,	,	PUNCT
cana-6006	266	14	was	be	AUX
cana-6006	266	15	employed	employ	VERB
cana-6006	266	16	to	to	PART
cana-6006	266	17	achieve	achieve	VERB
cana-6006	266	18	stable	stable	ADJ
cana-6006	266	19	convergence	convergence	NOUN
cana-6006	266	20	.	.	PUNCT
cana-6006	267	1	categorical	categorical	ADJ
cana-6006	267	2	crossentropy	crossentropy	NOUN
cana-6006	267	3	was	be	AUX
cana-6006	267	4	chosen	choose	VERB
cana-6006	267	5	as	as	ADP
cana-6006	267	6	the	the	DET
cana-6006	267	7	loss	loss	NOUN
cana-6006	267	8	function	function	NOUN
cana-6006	267	9	since	since	SCONJ
cana-6006	267	10	it	it	PRON
cana-6006	267	11	is	be	AUX
cana-6006	267	12	suitable	suitable	ADJ
cana-6006	267	13	for	for	ADP
cana-6006	267	14	multi	multi	ADJ
cana-6006	267	15	-	-	ADJ
cana-6006	267	16	class	class	ADJ
cana-6006	267	17	classification	classification	NOUN
cana-6006	267	18	tasks	task	NOUN
cana-6006	267	19	.	.	PUNCT
cana-6006	268	1	to	to	PART
cana-6006	268	2	prevent	prevent	VERB
cana-6006	268	3	overfitting	overfitte	VERB
cana-6006	268	4	,	,	PUNCT
cana-6006	268	5	early	early	ADJ
cana-6006	268	6	stopping	stopping	NOUN
cana-6006	268	7	was	be	AUX
cana-6006	268	8	applied	apply	VERB
cana-6006	268	9	,	,	PUNCT
cana-6006	268	10	where	where	SCONJ
cana-6006	268	11	training	training	NOUN
cana-6006	268	12	was	be	AUX
cana-6006	268	13	halted	halt	VERB
cana-6006	268	14	if	if	SCONJ
cana-6006	268	15	validation	validation	NOUN
cana-6006	268	16	loss	loss	NOUN
cana-6006	268	17	did	do	AUX
cana-6006	268	18	not	not	PART
cana-6006	268	19	improve	improve	VERB
cana-6006	268	20	after	after	ADP
cana-6006	268	21	several	several	ADJ
cana-6006	268	22	consecutive	consecutive	ADJ
cana-6006	268	23	epochs	epoch	NOUN
cana-6006	268	24	.	.	PUNCT
cana-6006	269	1	communications	communication	NOUN
cana-6006	269	2	on	on	ADP
cana-6006	269	3	applied	apply	VERB
cana-6006	269	4	nonlinear	nonlinear	ADJ
cana-6006	269	5	analysis	analysis	NOUN
cana-6006	269	6	issn	issn	NOUN
cana-6006	269	7	:	:	PUNCT
cana-6006	269	8	1074	1074	NUM
cana-6006	269	9	-	-	PUNCT
cana-6006	269	10	133x	133x	NUM
cana-6006	269	11	vol	vol	VERB
cana-6006	269	12	32	32	NUM
cana-6006	269	13	no	no	NOUN
cana-6006	269	14	.	.	PUNCT
cana-6006	270	1	10s	10	NOUN
cana-6006	270	2	(	(	PUNCT
cana-6006	270	3	2025	2025	NUM
cana-6006	270	4	)	)	PUNCT
cana-6006	270	5	3213	3213	NUM
cana-6006	270	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6006	270	7	fig	fig	NOUN
cana-6006	270	8	.	.	PUNCT
cana-6006	271	1	5	5	NUM
cana-6006	271	2	:	:	PUNCT
cana-6006	271	3	testing	testing	NOUN
cana-6006	271	4	phase	phase	NOUN
cana-6006	271	5	the	the	DET
cana-6006	271	6	testing	testing	NOUN
cana-6006	271	7	phase	phase	NOUN
cana-6006	271	8	was	be	AUX
cana-6006	271	9	conducted	conduct	VERB
cana-6006	271	10	using	use	VERB
cana-6006	271	11	the	the	DET
cana-6006	271	12	reserved	reserved	ADJ
cana-6006	271	13	test	test	NOUN
cana-6006	271	14	set	set	NOUN
cana-6006	271	15	,	,	PUNCT
cana-6006	271	16	which	which	PRON
cana-6006	271	17	was	be	AUX
cana-6006	271	18	not	not	PART
cana-6006	271	19	seen	see	VERB
cana-6006	271	20	during	during	ADP
cana-6006	271	21	training	training	NOUN
cana-6006	271	22	or	or	CCONJ
cana-6006	271	23	validation	validation	NOUN
cana-6006	271	24	.	.	PUNCT
cana-6006	272	1	performance	performance	NOUN
cana-6006	272	2	was	be	AUX
cana-6006	272	3	assessed	assess	VERB
cana-6006	272	4	with	with	ADP
cana-6006	272	5	standard	standard	ADJ
cana-6006	272	6	metrics	metric	NOUN
cana-6006	272	7	such	such	ADJ
cana-6006	272	8	as	as	ADP
cana-6006	272	9	accuracy	accuracy	NOUN
cana-6006	272	10	,	,	PUNCT
cana-6006	272	11	precision	precision	NOUN
cana-6006	272	12	,	,	PUNCT
cana-6006	272	13	recall	recall	NOUN
cana-6006	272	14	,	,	PUNCT
cana-6006	272	15	f1score	f1score	NOUN
cana-6006	272	16	,	,	PUNCT
cana-6006	272	17	and	and	CCONJ
cana-6006	272	18	auc	auc	NOUN
cana-6006	272	19	-	-	PUNCT
cana-6006	272	20	roc	roc	NOUN
cana-6006	272	21	.	.	PUNCT
cana-6006	273	1	in	in	ADP
cana-6006	273	2	addition	addition	NOUN
cana-6006	273	3	,	,	PUNCT
cana-6006	273	4	confusion	confusion	NOUN
cana-6006	273	5	matrices	matrix	NOUN
cana-6006	273	6	were	be	AUX
cana-6006	273	7	generated	generate	VERB
cana-6006	273	8	to	to	PART
cana-6006	273	9	visualize	visualize	VERB
cana-6006	273	10	class	class	NOUN
cana-6006	273	11	-	-	PUNCT
cana-6006	273	12	specific	specific	ADJ
cana-6006	273	13	errors	error	NOUN
cana-6006	273	14	,	,	PUNCT
cana-6006	273	15	while	while	SCONJ
cana-6006	273	16	grad	grad	NOUN
cana-6006	273	17	-	-	PUNCT
cana-6006	273	18	cam	cam	NOUN
cana-6006	273	19	heatmaps	heatmap	NOUN
cana-6006	273	20	were	be	AUX
cana-6006	273	21	used	use	VERB
cana-6006	273	22	to	to	PART
cana-6006	273	23	interpret	interpret	VERB
cana-6006	273	24	which	which	DET
cana-6006	273	25	regions	region	NOUN
cana-6006	273	26	of	of	ADP
cana-6006	273	27	the	the	DET
cana-6006	273	28	mri	mri	NOUN
cana-6006	273	29	scans	scan	NOUN
cana-6006	273	30	influenced	influence	VERB
cana-6006	273	31	the	the	DET
cana-6006	273	32	model	model	NOUN
cana-6006	273	33	’s	’s	PART
cana-6006	273	34	predictions	prediction	NOUN
cana-6006	273	35	.	.	PUNCT
cana-6006	274	1	to	to	PART
cana-6006	274	2	accelerate	accelerate	VERB
cana-6006	274	3	computation	computation	NOUN
cana-6006	274	4	and	and	CCONJ
cana-6006	274	5	optimize	optimize	VERB
cana-6006	274	6	resource	resource	NOUN
cana-6006	274	7	usage	usage	NOUN
cana-6006	274	8	,	,	PUNCT
cana-6006	274	9	mixed	mixed	ADJ
cana-6006	274	10	-	-	PUNCT
cana-6006	274	11	precision	precision	NOUN
cana-6006	274	12	training	training	NOUN
cana-6006	274	13	was	be	AUX
cana-6006	274	14	utilized	utilize	VERB
cana-6006	274	15	on	on	ADP
cana-6006	274	16	nvidia	nvidia	PROPN
cana-6006	274	17	tesla	tesla	PROPN
cana-6006	274	18	v100	v100	PROPN
cana-6006	274	19	gpus	gpus	PROPN
cana-6006	274	20	.	.	PUNCT
cana-6006	275	1	this	this	PRON
cana-6006	275	2	allowed	allow	VERB
cana-6006	275	3	efficient	efficient	ADJ
cana-6006	275	4	handling	handling	NOUN
cana-6006	275	5	of	of	ADP
cana-6006	275	6	high	high	ADJ
cana-6006	275	7	-	-	PUNCT
cana-6006	275	8	resolution	resolution	NOUN
cana-6006	275	9	mri	mri	NOUN
cana-6006	275	10	data	datum	NOUN
cana-6006	275	11	while	while	SCONJ
cana-6006	275	12	maintaining	maintain	VERB
cana-6006	275	13	model	model	NOUN
cana-6006	275	14	accuracy	accuracy	NOUN
cana-6006	275	15	.	.	PUNCT
cana-6006	276	1	the	the	DET
cana-6006	276	2	results	result	NOUN
cana-6006	276	3	demonstrated	demonstrate	VERB
cana-6006	276	4	that	that	SCONJ
cana-6006	276	5	the	the	DET
cana-6006	276	6	model	model	NOUN
cana-6006	276	7	generalized	generalize	VERB
cana-6006	276	8	well	well	ADV
cana-6006	276	9	to	to	ADP
cana-6006	276	10	unseen	unseen	ADJ
cana-6006	276	11	test	test	NOUN
cana-6006	276	12	data	datum	NOUN
cana-6006	276	13	,	,	PUNCT
cana-6006	276	14	confirming	confirm	VERB
cana-6006	276	15	its	its	PRON
cana-6006	276	16	robustness	robustness	NOUN
cana-6006	276	17	and	and	CCONJ
cana-6006	276	18	suitability	suitability	NOUN
cana-6006	276	19	for	for	ADP
cana-6006	276	20	real	real	ADJ
cana-6006	276	21	-	-	PUNCT
cana-6006	276	22	world	world	NOUN
cana-6006	276	23	clinical	clinical	ADJ
cana-6006	276	24	deployment	deployment	NOUN
cana-6006	276	25	.	.	PUNCT
cana-6006	277	1	7	7	X
cana-6006	277	2	.	.	X
cana-6006	277	3	dataset	dataset	VERB
cana-6006	277	4	information	information	NOUN
cana-6006	277	5	dataset	dataset	NOUN
cana-6006	277	6	name	name	NOUN
cana-6006	277	7	:	:	PUNCT
cana-6006	277	8	brain	brain	NOUN
cana-6006	277	9	hemorrhage	hemorrhage	NOUN
cana-6006	277	10	detection	detection	NOUN
cana-6006	278	1	[	[	X
cana-6006	278	2	41	41	NUM
cana-6006	278	3	]	]	PUNCT
cana-6006	278	4	contains	contain	VERB
cana-6006	278	5	labelled	label	VERB
cana-6006	278	6	brain	brain	NOUN
cana-6006	278	7	scans	scan	NOUN
cana-6006	278	8	,	,	PUNCT
cana-6006	278	9	mri	mri	NOUN
cana-6006	278	10	binary	binary	ADJ
cana-6006	278	11	classification	classification	NOUN
cana-6006	278	12	(	(	PUNCT
cana-6006	278	13	hemorrhage	hemorrhage	NOUN
cana-6006	278	14	vs	vs	ADP
cana-6006	278	15	normal	normal	ADJ
cana-6006	278	16	)	)	PUNCT
cana-6006	278	17	,	,	PUNCT
cana-6006	278	18	ready	ready	ADJ
cana-6006	278	19	for	for	ADP
cana-6006	278	20	deep	deep	ADJ
cana-6006	278	21	learning	learning	NOUN
cana-6006	278	22	development	development	NOUN
cana-6006	278	23	.	.	PUNCT
cana-6006	279	1	dataset	dataset	NOUN
cana-6006	279	2	name	name	NOUN
cana-6006	279	3	and	and	CCONJ
cana-6006	279	4	source	source	NOUN
cana-6006	279	5	:	:	PUNCT
cana-6006	279	6	name	name	NOUN
cana-6006	279	7	:	:	PUNCT
cana-6006	279	8	brain	brain	NOUN
cana-6006	279	9	hemorrhage	hemorrhage	NOUN
cana-6006	279	10	detection	detection	NOUN
cana-6006	279	11	dataset	dataset	VERB
cana-6006	279	12	imaging	imaging	NOUN
cana-6006	279	13	modalities	modality	NOUN
cana-6006	279	14	:	:	PUNCT
cana-6006	279	15	the	the	DET
cana-6006	279	16	dataset	dataset	NOUN
cana-6006	279	17	consists	consist	VERB
cana-6006	279	18	of	of	ADP
cana-6006	279	19	mri	mri	NOUN
cana-6006	279	20	size	size	NOUN
cana-6006	279	21	:	:	PUNCT
cana-6006	279	22	the	the	DET
cana-6006	279	23	dataset	dataset	NOUN
cana-6006	279	24	comprises	comprise	VERB
cana-6006	279	25	7,000	7,000	NUM
cana-6006	279	26	medical	medical	ADJ
cana-6006	279	27	images	image	NOUN
cana-6006	279	28	.	.	PUNCT
cana-6006	280	1	fig	fig	NOUN
cana-6006	280	2	.	.	PUNCT
cana-6006	281	1	6	6	NUM
cana-6006	281	2	:	:	PUNCT
cana-6006	281	3	normal	normal	ADJ
cana-6006	281	4	brain	brain	NOUN
cana-6006	281	5	mri	mri	NOUN
cana-6006	281	6	fig	fig	NOUN
cana-6006	281	7	.	.	PUNCT
cana-6006	282	1	7	7	NUM
cana-6006	282	2	:	:	PUNCT
cana-6006	282	3	hemorrhage	hemorrhage	NOUN
cana-6006	282	4	brain	brain	NOUN
cana-6006	282	5	mri	mri	NOUN
cana-6006	282	6	communications	communication	NOUN
cana-6006	282	7	on	on	ADP
cana-6006	282	8	applied	apply	VERB
cana-6006	282	9	nonlinear	nonlinear	ADJ
cana-6006	282	10	analysis	analysis	NOUN
cana-6006	282	11	issn	issn	NOUN
cana-6006	282	12	:	:	PUNCT
cana-6006	282	13	1074	1074	NUM
cana-6006	282	14	-	-	PUNCT
cana-6006	282	15	133x	133x	NUM
cana-6006	282	16	vol	vol	VERB
cana-6006	282	17	32	32	NUM
cana-6006	282	18	no	no	NOUN
cana-6006	282	19	.	.	PUNCT
cana-6006	283	1	10s	10	NOUN
cana-6006	283	2	(	(	PUNCT
cana-6006	283	3	2025	2025	NUM
cana-6006	283	4	)	)	PUNCT
cana-6006	283	5	3214	3214	NUM
cana-6006	283	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6006	283	7	fig	fig	NOUN
cana-6006	283	8	.	.	PUNCT
cana-6006	284	1	8	8	NUM
cana-6006	284	2	:	:	PUNCT
cana-6006	284	3	normal	normal	ADJ
cana-6006	284	4	and	and	CCONJ
cana-6006	284	5	hemorrhage	hemorrhage	NOUN
cana-6006	284	6	brain	brain	NOUN
cana-6006	284	7	mri	mri	NOUN
cana-6006	284	8	total	total	ADJ
cana-6006	284	9	images	image	NOUN
cana-6006	284	10	:	:	PUNCT
cana-6006	284	11	approximately	approximately	ADV
cana-6006	284	12	7000	7000	NUM
cana-6006	284	13	images	image	NOUN
cana-6006	284	14	hemorrhage	hemorrhage	NOUN
cana-6006	284	15	present	present	ADJ
cana-6006	284	16	:	:	PUNCT
cana-6006	284	17	~3300	~3300	NUM
cana-6006	284	18	images	image	NOUN
cana-6006	284	19	no	no	DET
cana-6006	284	20	hemorrhage	hemorrhage	NOUN
cana-6006	284	21	(	(	PUNCT
cana-6006	284	22	normal	normal	ADJ
cana-6006	284	23	):	):	PUNCT
cana-6006	284	24	~3700	~3700	NUM
cana-6006	284	25	images	image	NOUN
cana-6006	284	26	modality	modality	NOUN
cana-6006	284	27	:	:	PUNCT
cana-6006	284	28	mri	mri	NOUN
cana-6006	284	29	(	(	PUNCT
cana-6006	284	30	magnetic	magnetic	ADJ
cana-6006	284	31	resonance	resonance	NOUN
cana-6006	284	32	imaging	imaging	NOUN
cana-6006	284	33	)	)	PUNCT
cana-6006	284	34	format	format	NOUN
cana-6006	284	35	:	:	PUNCT
cana-6006	284	36	jpeg	jpeg	NOUN
cana-6006	284	37	/	/	SYM
cana-6006	284	38	png	png	PROPN
cana-6006	284	39	(	(	PUNCT
cana-6006	284	40	suitable	suitable	ADJ
cana-6006	284	41	for	for	ADP
cana-6006	284	42	cnn	cnn	PROPN
cana-6006	284	43	-	-	PUNCT
cana-6006	284	44	based	base	VERB
cana-6006	284	45	models	model	NOUN
cana-6006	284	46	)	)	PUNCT
cana-6006	284	47	class	class	NOUN
cana-6006	284	48	balance	balance	NOUN
cana-6006	284	49	:	:	PUNCT
cana-6006	284	50	slight	slight	ADJ
cana-6006	284	51	imbalance	imbalance	NOUN
cana-6006	284	52	with	with	ADP
cana-6006	284	53	more	more	ADV
cana-6006	284	54	normal	normal	ADJ
cana-6006	284	55	cases	case	NOUN
cana-6006	284	56	than	than	ADP
cana-6006	284	57	hemorrhagic	hemorrhagic	NOUN
cana-6006	284	58	.	.	PUNCT
cana-6006	285	1	figure	figure	VERB
cana-6006	285	2	6	6	NUM
cana-6006	285	3	shows	show	VERB
cana-6006	285	4	a	a	DET
cana-6006	285	5	normal	normal	ADJ
cana-6006	285	6	brain	brain	NOUN
cana-6006	285	7	mri	mri	NOUN
cana-6006	285	8	scan	scan	VERB
cana-6006	285	9	with	with	ADP
cana-6006	285	10	no	no	DET
cana-6006	285	11	signs	sign	NOUN
cana-6006	285	12	of	of	ADP
cana-6006	285	13	bleeding	bleeding	NOUN
cana-6006	285	14	.	.	PUNCT
cana-6006	286	1	the	the	DET
cana-6006	286	2	brain	brain	NOUN
cana-6006	286	3	structures	structure	NOUN
cana-6006	286	4	appear	appear	VERB
cana-6006	286	5	balanced	balanced	ADJ
cana-6006	286	6	and	and	CCONJ
cana-6006	286	7	symmetric	symmetric	ADJ
cana-6006	286	8	,	,	PUNCT
cana-6006	286	9	without	without	ADP
cana-6006	286	10	any	any	DET
cana-6006	286	11	unusual	unusual	ADJ
cana-6006	286	12	bright	bright	ADJ
cana-6006	286	13	or	or	CCONJ
cana-6006	286	14	dark	dark	ADJ
cana-6006	286	15	areas	area	NOUN
cana-6006	286	16	.	.	PUNCT
cana-6006	287	1	these	these	DET
cana-6006	287	2	kinds	kind	NOUN
cana-6006	287	3	of	of	ADP
cana-6006	287	4	images	image	NOUN
cana-6006	287	5	serve	serve	VERB
cana-6006	287	6	as	as	ADP
cana-6006	287	7	negative	negative	ADJ
cana-6006	287	8	examples	example	NOUN
cana-6006	287	9	during	during	ADP
cana-6006	287	10	training	training	NOUN
cana-6006	287	11	,	,	PUNCT
cana-6006	287	12	helping	help	VERB
cana-6006	287	13	the	the	DET
cana-6006	287	14	model	model	NOUN
cana-6006	287	15	learn	learn	VERB
cana-6006	287	16	to	to	PART
cana-6006	287	17	distinguish	distinguish	VERB
cana-6006	287	18	healthy	healthy	ADJ
cana-6006	287	19	brains	brain	NOUN
cana-6006	287	20	from	from	ADP
cana-6006	287	21	those	those	PRON
cana-6006	287	22	with	with	ADP
cana-6006	287	23	issues	issue	NOUN
cana-6006	287	24	.	.	PUNCT
cana-6006	288	1	figure	figure	VERB
cana-6006	288	2	7	7	NUM
cana-6006	288	3	displays	display	VERB
cana-6006	288	4	a	a	DET
cana-6006	288	5	brain	brain	NOUN
cana-6006	288	6	mri	mri	NOUN
cana-6006	288	7	scan	scan	NOUN
cana-6006	288	8	that	that	PRON
cana-6006	288	9	contains	contain	VERB
cana-6006	288	10	a	a	DET
cana-6006	288	11	hemorrhage	hemorrhage	NOUN
cana-6006	288	12	.	.	PUNCT
cana-6006	289	1	it	it	PRON
cana-6006	289	2	highlights	highlight	VERB
cana-6006	289	3	areas	area	NOUN
cana-6006	289	4	with	with	ADP
cana-6006	289	5	abnormal	abnormal	ADJ
cana-6006	289	6	intensity	intensity	NOUN
cana-6006	289	7	,	,	PUNCT
cana-6006	289	8	indicating	indicate	VERB
cana-6006	289	9	bleeding	bleed	VERB
cana-6006	289	10	inside	inside	ADV
cana-6006	289	11	or	or	CCONJ
cana-6006	289	12	around	around	ADP
cana-6006	289	13	the	the	DET
cana-6006	289	14	brain	brain	NOUN
cana-6006	289	15	tissue	tissue	NOUN
cana-6006	289	16	.	.	PUNCT
cana-6006	290	1	these	these	DET
cana-6006	290	2	abnormal	abnormal	ADJ
cana-6006	290	3	regions	region	NOUN
cana-6006	290	4	are	be	AUX
cana-6006	290	5	crucial	crucial	ADJ
cana-6006	290	6	for	for	SCONJ
cana-6006	290	7	the	the	DET
cana-6006	290	8	model	model	NOUN
cana-6006	290	9	to	to	PART
cana-6006	290	10	identify	identify	VERB
cana-6006	290	11	and	and	CCONJ
cana-6006	290	12	classify	classify	VERB
cana-6006	290	13	different	different	ADJ
cana-6006	290	14	types	type	NOUN
cana-6006	290	15	of	of	ADP
cana-6006	290	16	hemorrhages	hemorrhage	NOUN
cana-6006	290	17	.	.	PUNCT
cana-6006	291	1	figure	figure	NOUN
cana-6006	291	2	8	8	NUM
cana-6006	291	3	provides	provide	VERB
cana-6006	291	4	a	a	DET
cana-6006	291	5	side	side	NOUN
cana-6006	291	6	-	-	PUNCT
cana-6006	291	7	by	by	ADP
cana-6006	291	8	-	-	PUNCT
cana-6006	291	9	side	side	NOUN
cana-6006	291	10	comparison	comparison	NOUN
cana-6006	291	11	of	of	ADP
cana-6006	291	12	normal	normal	ADJ
cana-6006	291	13	and	and	CCONJ
cana-6006	291	14	hemorrhagic	hemorrhagic	ADJ
cana-6006	291	15	brain	brain	NOUN
cana-6006	291	16	mris	mris	PROPN
cana-6006	291	17	.	.	PUNCT
cana-6006	292	1	the	the	DET
cana-6006	292	2	normal	normal	ADJ
cana-6006	292	3	scans	scan	NOUN
cana-6006	292	4	show	show	VERB
cana-6006	292	5	consistent	consistent	ADJ
cana-6006	292	6	tissue	tissue	NOUN
cana-6006	292	7	contrast	contrast	NOUN
cana-6006	292	8	and	and	CCONJ
cana-6006	292	9	structures	structure	NOUN
cana-6006	292	10	,	,	PUNCT
cana-6006	292	11	while	while	SCONJ
cana-6006	292	12	the	the	DET
cana-6006	292	13	hemorrhagic	hemorrhagic	NOUN
cana-6006	292	14	scans	scan	NOUN
cana-6006	292	15	reveal	reveal	VERB
cana-6006	292	16	irregular	irregular	ADJ
cana-6006	292	17	bright	bright	ADJ
cana-6006	292	18	or	or	CCONJ
cana-6006	292	19	dark	dark	ADJ
cana-6006	292	20	patches	patch	NOUN
cana-6006	292	21	caused	cause	VERB
cana-6006	292	22	by	by	ADP
cana-6006	292	23	bleeding	bleed	VERB
cana-6006	292	24	.	.	PUNCT
cana-6006	293	1	this	this	DET
cana-6006	293	2	comparison	comparison	NOUN
cana-6006	293	3	illustrates	illustrate	VERB
cana-6006	293	4	the	the	DET
cana-6006	293	5	difficulty	difficulty	NOUN
cana-6006	293	6	radiologists	radiologist	NOUN
cana-6006	293	7	face	face	VERB
cana-6006	293	8	when	when	SCONJ
cana-6006	293	9	diagnosing	diagnose	VERB
cana-6006	293	10	brain	brain	NOUN
cana-6006	293	11	hemorrhages	hemorrhage	NOUN
cana-6006	293	12	and	and	CCONJ
cana-6006	293	13	emphasizes	emphasize	VERB
cana-6006	293	14	the	the	DET
cana-6006	293	15	value	value	NOUN
cana-6006	293	16	of	of	ADP
cana-6006	293	17	automated	automate	VERB
cana-6006	293	18	systems	system	NOUN
cana-6006	293	19	.	.	PUNCT
cana-6006	294	1	by	by	ADP
cana-6006	294	2	recognizing	recognize	VERB
cana-6006	294	3	these	these	DET
cana-6006	294	4	key	key	ADJ
cana-6006	294	5	differences	difference	NOUN
cana-6006	294	6	,	,	PUNCT
cana-6006	294	7	the	the	DET
cana-6006	294	8	proposed	propose	VERB
cana-6006	294	9	deep	deep	ADJ
cana-6006	294	10	learning	learning	NOUN
cana-6006	294	11	model	model	NOUN
cana-6006	294	12	can	can	AUX
cana-6006	294	13	effectively	effectively	ADV
cana-6006	294	14	separate	separate	VERB
cana-6006	294	15	normal	normal	ADJ
cana-6006	294	16	from	from	ADP
cana-6006	294	17	pathological	pathological	ADJ
cana-6006	294	18	cases	case	NOUN
cana-6006	294	19	,	,	PUNCT
cana-6006	294	20	helping	help	VERB
cana-6006	294	21	to	to	PART
cana-6006	294	22	reduce	reduce	VERB
cana-6006	294	23	diagnostic	diagnostic	ADJ
cana-6006	294	24	delays	delay	NOUN
cana-6006	294	25	and	and	CCONJ
cana-6006	294	26	minimize	minimize	VERB
cana-6006	294	27	human	human	ADJ
cana-6006	294	28	errors	error	NOUN
cana-6006	294	29	.	.	PUNCT
cana-6006	295	1	7.1	7.1	NUM
cana-6006	295	2	content	content	NOUN
cana-6006	295	3	and	and	CCONJ
cana-6006	295	4	structure	structure	NOUN
cana-6006	295	5	quality	quality	NOUN
cana-6006	295	6	:	:	PUNCT
cana-6006	295	7	images	image	NOUN
cana-6006	295	8	have	have	AUX
cana-6006	295	9	been	be	AUX
cana-6006	295	10	curated	curate	VERB
cana-6006	295	11	to	to	PART
cana-6006	295	12	ensure	ensure	VERB
cana-6006	295	13	a	a	DET
cana-6006	295	14	range	range	NOUN
cana-6006	295	15	of	of	ADP
cana-6006	295	16	data	datum	NOUN
cana-6006	295	17	quality	quality	NOUN
cana-6006	295	18	,	,	PUNCT
cana-6006	295	19	helping	help	VERB
cana-6006	295	20	the	the	DET
cana-6006	295	21	model	model	NOUN
cana-6006	295	22	learn	learn	VERB
cana-6006	295	23	to	to	PART
cana-6006	295	24	handle	handle	VERB
cana-6006	295	25	variability	variability	NOUN
cana-6006	295	26	encountered	encounter	VERB
cana-6006	295	27	in	in	ADP
cana-6006	295	28	real	real	ADJ
cana-6006	295	29	-	-	PUNCT
cana-6006	295	30	world	world	NOUN
cana-6006	295	31	clinical	clinical	ADJ
cana-6006	295	32	environments	environment	NOUN
cana-6006	295	33	.	.	PUNCT
cana-6006	296	1	communications	communication	NOUN
cana-6006	296	2	on	on	ADP
cana-6006	296	3	applied	apply	VERB
cana-6006	296	4	nonlinear	nonlinear	ADJ
cana-6006	296	5	analysis	analysis	NOUN
cana-6006	296	6	issn	issn	NOUN
cana-6006	296	7	:	:	PUNCT
cana-6006	296	8	1074	1074	NUM
cana-6006	296	9	-	-	PUNCT
cana-6006	296	10	133x	133x	NUM
cana-6006	296	11	vol	vol	VERB
cana-6006	296	12	32	32	NUM
cana-6006	296	13	no	no	NOUN
cana-6006	296	14	.	.	PUNCT
cana-6006	297	1	10s	10	NOUN
cana-6006	297	2	(	(	PUNCT
cana-6006	297	3	2025	2025	NUM
cana-6006	297	4	)	)	PUNCT
cana-6006	297	5	3215	3215	NUM
cana-6006	297	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6006	297	7	7.2	7.2	NUM
cana-6006	297	8	ethical	ethical	ADJ
cana-6006	297	9	considerations	consideration	NOUN
cana-6006	297	10	detection	detection	NOUN
cana-6006	297	11	dataset	dataset	VERB
cana-6006	297	12	,	,	PUNCT
cana-6006	297	13	a	a	DET
cana-6006	297	14	reputable	reputable	ADJ
cana-6006	297	15	benchmark	benchmark	NOUN
cana-6006	297	16	used	use	VERB
cana-6006	297	17	in	in	ADP
cana-6006	297	18	the	the	DET
cana-6006	297	19	medical	medical	ADJ
cana-6006	297	20	imaging	imaging	NOUN
cana-6006	297	21	community	community	NOUN
cana-6006	297	22	,	,	PUNCT
cana-6006	297	23	known	know	VERB
cana-6006	297	24	for	for	ADP
cana-6006	297	25	its	its	PRON
cana-6006	297	26	reliability	reliability	NOUN
cana-6006	297	27	and	and	CCONJ
cana-6006	297	28	comprehensive	comprehensive	ADJ
cana-6006	297	29	labelling	labelling	NOUN
cana-6006	297	30	.	.	PUNCT
cana-6006	298	1	the	the	DET
cana-6006	298	2	dataset	dataset	NOUN
cana-6006	298	3	used	use	VERB
cana-6006	298	4	complies	complie	NOUN
cana-6006	298	5	with	with	ADP
cana-6006	298	6	ethical	ethical	ADJ
cana-6006	298	7	guidelines	guideline	NOUN
cana-6006	298	8	to	to	PART
cana-6006	298	9	ensure	ensure	VERB
cana-6006	298	10	patient	patient	ADJ
cana-6006	298	11	data	datum	NOUN
cana-6006	298	12	privacy	privacy	NOUN
cana-6006	298	13	and	and	CCONJ
cana-6006	298	14	anonymity	anonymity	NOUN
cana-6006	298	15	.	.	PUNCT
cana-6006	299	1	only	only	ADV
cana-6006	299	2	de	de	ADJ
cana-6006	299	3	-	-	ADJ
cana-6006	299	4	identified	identify	VERB
cana-6006	299	5	data	datum	NOUN
cana-6006	299	6	is	be	AUX
cana-6006	299	7	utilized	utilize	VERB
cana-6006	299	8	,	,	PUNCT
cana-6006	299	9	and	and	CCONJ
cana-6006	299	10	all	all	DET
cana-6006	299	11	procedures	procedure	NOUN
cana-6006	299	12	align	align	VERB
cana-6006	299	13	with	with	ADP
cana-6006	299	14	relevant	relevant	ADJ
cana-6006	299	15	medical	medical	ADJ
cana-6006	299	16	data	datum	NOUN
cana-6006	299	17	governance	governance	NOUN
cana-6006	299	18	standards	standard	NOUN
cana-6006	299	19	.	.	PUNCT
cana-6006	300	1	8	8	X
cana-6006	300	2	.	.	PUNCT
cana-6006	300	3	experimental	experimental	ADJ
cana-6006	300	4	results	result	NOUN
cana-6006	300	5	and	and	CCONJ
cana-6006	300	6	analysis	analysis	NOUN
cana-6006	300	7	the	the	DET
cana-6006	300	8	findings	finding	NOUN
cana-6006	300	9	show	show	VERB
cana-6006	300	10	the	the	DET
cana-6006	300	11	efficacy	efficacy	NOUN
cana-6006	300	12	of	of	ADP
cana-6006	300	13	the	the	DET
cana-6006	300	14	proposed	propose	VERB
cana-6006	300	15	modified	modify	VERB
cana-6006	300	16	resnet-50	resnet-50	PROPN
cana-6006	300	17	model	model	NOUN
cana-6006	300	18	with	with	ADP
cana-6006	300	19	se	se	PROPN
cana-6006	300	20	blocks	block	NOUN
cana-6006	300	21	and	and	CCONJ
cana-6006	300	22	u	u	NOUN
cana-6006	300	23	-	-	ADJ
cana-6006	300	24	net	net	ADJ
cana-6006	300	25	preprocessing	preprocessing	NOUN
cana-6006	300	26	for	for	ADP
cana-6006	300	27	classifying	classify	VERB
cana-6006	300	28	brain	brain	NOUN
cana-6006	300	29	hemorrhage	hemorrhage	NOUN
cana-6006	300	30	subtypes	subtype	NOUN
cana-6006	300	31	.	.	PUNCT
cana-6006	301	1	the	the	DET
cana-6006	301	2	proposed	propose	VERB
cana-6006	301	3	approach	approach	NOUN
cana-6006	301	4	outperformed	outperform	VERB
cana-6006	301	5	the	the	DET
cana-6006	301	6	baseline	baseline	NOUN
cana-6006	301	7	models	model	NOUN
cana-6006	301	8	in	in	ADP
cana-6006	301	9	terms	term	NOUN
cana-6006	301	10	of	of	ADP
cana-6006	301	11	accuracy	accuracy	NOUN
cana-6006	301	12	,	,	PUNCT
cana-6006	301	13	precision	precision	NOUN
cana-6006	301	14	,	,	PUNCT
cana-6006	301	15	recall	recall	NOUN
cana-6006	301	16	,	,	PUNCT
cana-6006	301	17	and	and	CCONJ
cana-6006	301	18	auc	auc	NOUN
cana-6006	301	19	-	-	PUNCT
cana-6006	301	20	roc	roc	NOUN
cana-6006	301	21	metrics	metric	NOUN
cana-6006	301	22	,	,	PUNCT
cana-6006	301	23	demonstrating	demonstrate	VERB
cana-6006	301	24	its	its	PRON
cana-6006	301	25	clinical	clinical	ADJ
cana-6006	301	26	utility	utility	NOUN
cana-6006	301	27	for	for	ADP
cana-6006	301	28	medical	medical	ADJ
cana-6006	301	29	imaging	imaging	NOUN
cana-6006	301	30	diagnostic	diagnostic	ADJ
cana-6006	301	31	applications	application	NOUN
cana-6006	301	32	.	.	PUNCT
cana-6006	302	1	table	table	NOUN
cana-6006	302	2	2	2	NUM
cana-6006	302	3	shows	show	VERB
cana-6006	302	4	the	the	DET
cana-6006	302	5	accuracy	accuracy	NOUN
cana-6006	302	6	comparison	comparison	NOUN
cana-6006	302	7	of	of	ADP
cana-6006	302	8	various	various	ADJ
cana-6006	302	9	deep	deep	ADJ
cana-6006	302	10	learning	learning	NOUN
cana-6006	302	11	models	model	NOUN
cana-6006	302	12	for	for	ADP
cana-6006	302	13	brain	brain	NOUN
cana-6006	302	14	hemorrhage	hemorrhage	NOUN
cana-6006	302	15	classification	classification	NOUN
cana-6006	302	16	.	.	PUNCT
cana-6006	303	1	a	a	DET
cana-6006	303	2	baseline	baseline	ADJ
cana-6006	303	3	model	model	NOUN
cana-6006	303	4	of	of	ADP
cana-6006	303	5	vgg16	vgg16	PROPN
cana-6006	303	6	had	have	VERB
cana-6006	303	7	an	an	DET
cana-6006	303	8	accuracy	accuracy	NOUN
cana-6006	303	9	of	of	ADP
cana-6006	303	10	88.4	88.4	NUM
cana-6006	303	11	%	%	NOUN
cana-6006	303	12	,	,	PUNCT
cana-6006	303	13	and	and	CCONJ
cana-6006	303	14	then	then	ADV
cana-6006	303	15	with	with	ADP
cana-6006	303	16	resnet-50	resnet-50	PROPN
cana-6006	303	17	,	,	PUNCT
cana-6006	303	18	the	the	DET
cana-6006	303	19	average	average	ADJ
cana-6006	303	20	accuracy	accuracy	NOUN
cana-6006	303	21	performance	performance	NOUN
cana-6006	303	22	improved	improve	VERB
cana-6006	303	23	to	to	ADP
cana-6006	303	24	91.2	91.2	NUM
cana-6006	303	25	%	%	NOUN
cana-6006	303	26	.	.	PUNCT
cana-6006	304	1	adding	add	VERB
cana-6006	304	2	squeeze	squeeze	NOUN
cana-6006	304	3	-	-	PUNCT
cana-6006	304	4	and	and	CCONJ
cana-6006	304	5	-	-	PUNCT
cana-6006	304	6	excitation	excitation	NOUN
cana-6006	304	7	(	(	PUNCT
cana-6006	304	8	se	se	X
cana-6006	304	9	)	)	PUNCT
cana-6006	304	10	blocks	block	VERB
cana-6006	304	11	improved	improved	ADJ
cana-6006	304	12	accuracy	accuracy	NOUN
cana-6006	304	13	to	to	ADP
cana-6006	304	14	93.6	93.6	NUM
cana-6006	304	15	%	%	NOUN
cana-6006	304	16	.	.	PUNCT
cana-6006	305	1	the	the	DET
cana-6006	305	2	maximum	maximum	ADJ
cana-6006	305	3	performance	performance	NOUN
cana-6006	305	4	was	be	AUX
cana-6006	305	5	achieved	achieve	VERB
cana-6006	305	6	by	by	ADP
cana-6006	305	7	using	use	VERB
cana-6006	305	8	a	a	DET
cana-6006	305	9	modified	modify	VERB
cana-6006	305	10	resnet-50	resnet-50	PROPN
cana-6006	305	11	with	with	ADP
cana-6006	305	12	se	se	X
cana-6006	305	13	blocks	block	NOUN
cana-6006	305	14	and	and	CCONJ
cana-6006	305	15	u	u	NOUN
cana-6006	305	16	-	-	ADJ
cana-6006	305	17	net	net	ADJ
cana-6006	305	18	preprocessing	preprocessing	NOUN
cana-6006	305	19	for	for	ADP
cana-6006	305	20	images	image	NOUN
cana-6006	305	21	,	,	PUNCT
cana-6006	305	22	where	where	SCONJ
cana-6006	305	23	the	the	DET
cana-6006	305	24	average	average	ADJ
cana-6006	305	25	accuracy	accuracy	NOUN
cana-6006	305	26	peaked	peak	VERB
cana-6006	305	27	at	at	ADP
cana-6006	305	28	94.6	94.6	NUM
cana-6006	305	29	%	%	NOUN
cana-6006	305	30	.	.	PUNCT
cana-6006	306	1	table	table	NOUN
cana-6006	306	2	2	2	NUM
cana-6006	306	3	:	:	PUNCT
cana-6006	306	4	comparative	comparative	ADJ
cana-6006	306	5	analysis	analysis	NOUN
cana-6006	306	6	of	of	ADP
cana-6006	306	7	the	the	DET
cana-6006	306	8	proposed	propose	VERB
cana-6006	306	9	technique	technique	NOUN
cana-6006	306	10	with	with	ADP
cana-6006	306	11	existing	exist	VERB
cana-6006	306	12	techniques	technique	NOUN
cana-6006	306	13	in	in	ADP
cana-6006	306	14	terms	term	NOUN
cana-6006	306	15	of	of	ADP
cana-6006	306	16	the	the	DET
cana-6006	306	17	accuracy	accuracy	NOUN
cana-6006	306	18	performance	performance	NOUN
cana-6006	306	19	metric	metric	ADJ
cana-6006	306	20	model	model	NOUN
cana-6006	306	21	accuracy	accuracy	NOUN
cana-6006	306	22	(	(	PUNCT
cana-6006	306	23	%	%	INTJ
cana-6006	306	24	)	)	PUNCT
cana-6006	306	25	vgg16	vgg16	NOUN
cana-6006	307	1	[	[	X
cana-6006	307	2	11	11	NUM
cana-6006	307	3	]	]	PUNCT
cana-6006	307	4	88.4	88.4	NUM
cana-6006	307	5	resnet-50	resnet-50	PROPN
cana-6006	307	6	(	(	PUNCT
cana-6006	307	7	base	base	NOUN
cana-6006	307	8	)	)	PUNCT
cana-6006	308	1	[	[	X
cana-6006	308	2	10	10	NUM
cana-6006	308	3	]	]	SYM
cana-6006	308	4	91.2	91.2	NUM
cana-6006	308	5	resnet-50	resnet-50	PROPN
cana-6006	308	6	+	+	CCONJ
cana-6006	308	7	se	se	X
cana-6006	309	1	[	[	X
cana-6006	309	2	23	23	NUM
cana-6006	309	3	]	]	SYM
cana-6006	309	4	93.6	93.6	NUM
cana-6006	309	5	modified	modify	VERB
cana-6006	309	6	resnet-50	resnet-50	PROPN
cana-6006	309	7	with	with	ADP
cana-6006	309	8	se	se	X
cana-6006	309	9	blocks	block	NOUN
cana-6006	309	10	and	and	CCONJ
cana-6006	309	11	u	u	NOUN
cana-6006	309	12	-	-	ADJ
cana-6006	309	13	net	net	ADJ
cana-6006	309	14	preprocessing	preprocesse	VERB
cana-6006	309	15	94.6	94.6	NUM
cana-6006	309	16	this	this	PRON
cana-6006	309	17	suggests	suggest	VERB
cana-6006	309	18	that	that	SCONJ
cana-6006	309	19	advanced	advanced	ADJ
cana-6006	309	20	attention	attention	NOUN
cana-6006	309	21	mechanisms	mechanism	NOUN
cana-6006	309	22	,	,	PUNCT
cana-6006	309	23	in	in	ADP
cana-6006	309	24	combination	combination	NOUN
cana-6006	309	25	with	with	ADP
cana-6006	309	26	sophisticated	sophisticated	ADJ
cana-6006	309	27	preprocessing	preprocessing	NOUN
cana-6006	309	28	techniques	technique	NOUN
cana-6006	309	29	,	,	PUNCT
cana-6006	309	30	can	can	AUX
cana-6006	309	31	yield	yield	VERB
cana-6006	309	32	optimal	optimal	ADJ
cana-6006	309	33	classification	classification	NOUN
cana-6006	309	34	performance	performance	NOUN
cana-6006	309	35	on	on	ADP
cana-6006	309	36	medical	medical	ADJ
cana-6006	309	37	imaging	imaging	NOUN
cana-6006	309	38	tasks	task	NOUN
cana-6006	309	39	.	.	PUNCT
cana-6006	310	1	assesses	assess	VERB
cana-6006	310	2	the	the	DET
cana-6006	310	3	trained	train	VERB
cana-6006	310	4	model	model	NOUN
cana-6006	310	5	's	's	PART
cana-6006	310	6	performance	performance	NOUN
cana-6006	310	7	using	use	VERB
cana-6006	310	8	specific	specific	ADJ
cana-6006	310	9	metrics	metric	NOUN
cana-6006	310	10	,	,	PUNCT
cana-6006	310	11	evaluated	evaluate	VERB
cana-6006	310	12	using	use	VERB
cana-6006	310	13	accuracy	accuracy	NOUN
cana-6006	310	14	,	,	PUNCT
cana-6006	310	15	precision	precision	NOUN
cana-6006	310	16	,	,	PUNCT
cana-6006	310	17	recall	recall	NOUN
cana-6006	310	18	,	,	PUNCT
cana-6006	310	19	f1	f1	NOUN
cana-6006	310	20	-	-	PUNCT
cana-6006	310	21	score	score	NOUN
cana-6006	310	22	,	,	PUNCT
cana-6006	310	23	and	and	CCONJ
cana-6006	310	24	auc	auc	NOUN
cana-6006	310	25	-	-	PUNCT
cana-6006	310	26	roc	roc	NOUN
cana-6006	310	27	to	to	PART
cana-6006	310	28	measure	measure	VERB
cana-6006	310	29	both	both	PRON
cana-6006	310	30	overall	overall	ADJ
cana-6006	310	31	and	and	CCONJ
cana-6006	310	32	class	class	NOUN
cana-6006	310	33	-	-	PUNCT
cana-6006	310	34	specific	specific	ADJ
cana-6006	310	35	performance	performance	NOUN
cana-6006	310	36	,	,	PUNCT
cana-6006	310	37	especially	especially	ADV
cana-6006	310	38	for	for	ADP
cana-6006	310	39	imbalanced	imbalanced	ADJ
cana-6006	310	40	datasets	dataset	NOUN
cana-6006	310	41	.	.	PUNCT
cana-6006	311	1	communications	communication	NOUN
cana-6006	311	2	on	on	ADP
cana-6006	311	3	applied	apply	VERB
cana-6006	311	4	nonlinear	nonlinear	ADJ
cana-6006	311	5	analysis	analysis	NOUN
cana-6006	311	6	issn	issn	NOUN
cana-6006	311	7	:	:	PUNCT
cana-6006	311	8	1074	1074	NUM
cana-6006	311	9	-	-	PUNCT
cana-6006	311	10	133x	133x	NUM
cana-6006	311	11	vol	vol	VERB
cana-6006	311	12	32	32	NUM
cana-6006	311	13	no	no	NOUN
cana-6006	311	14	.	.	PUNCT
cana-6006	312	1	10s	10	NOUN
cana-6006	312	2	(	(	PUNCT
cana-6006	312	3	2025	2025	NUM
cana-6006	312	4	)	)	PUNCT
cana-6006	312	5	3216	3216	NUM
cana-6006	312	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6006	312	7	fig	fig	NOUN
cana-6006	312	8	.	.	PUNCT
cana-6006	313	1	9	9	NUM
cana-6006	313	2	:	:	PUNCT
cana-6006	313	3	graphical	graphical	ADJ
cana-6006	313	4	representation	representation	NOUN
cana-6006	313	5	of	of	ADP
cana-6006	313	6	the	the	DET
cana-6006	313	7	model	model	NOUN
cana-6006	313	8	in	in	ADP
cana-6006	313	9	terms	term	NOUN
cana-6006	313	10	of	of	ADP
cana-6006	313	11	different	different	ADJ
cana-6006	313	12	evaluation	evaluation	NOUN
cana-6006	313	13	metrics	metric	NOUN
cana-6006	313	14	.	.	PUNCT
cana-6006	314	1	the	the	DET
cana-6006	314	2	x	x	VERB
cana-6006	314	3	axis	axis	NOUN
cana-6006	314	4	represents	represent	VERB
cana-6006	314	5	the	the	DET
cana-6006	314	6	evaluation	evaluation	NOUN
cana-6006	314	7	metrics	metric	NOUN
cana-6006	314	8	,	,	PUNCT
cana-6006	314	9	and	and	CCONJ
cana-6006	314	10	y	y	PROPN
cana-6006	314	11	axis	axis	NOUN
cana-6006	314	12	represents	represent	VERB
cana-6006	314	13	the	the	DET
cana-6006	314	14	percentage	percentage	NOUN
cana-6006	314	15	in	in	ADP
cana-6006	314	16	(	(	PUNCT
cana-6006	314	17	%	%	NOUN
cana-6006	314	18	)	)	PUNCT
cana-6006	314	19	.	.	PUNCT
cana-6006	315	1	figure	figure	NOUN
cana-6006	315	2	9	9	NUM
cana-6006	315	3	represents	represent	VERB
cana-6006	315	4	the	the	DET
cana-6006	315	5	evaluation	evaluation	NOUN
cana-6006	315	6	metrics	metric	NOUN
cana-6006	315	7	of	of	ADP
cana-6006	315	8	the	the	DET
cana-6006	315	9	proposed	propose	VERB
cana-6006	315	10	model	model	NOUN
cana-6006	315	11	in	in	ADP
cana-6006	315	12	terms	term	NOUN
cana-6006	315	13	of	of	ADP
cana-6006	315	14	precision	precision	NOUN
cana-6006	315	15	,	,	PUNCT
cana-6006	315	16	recall	recall	NOUN
cana-6006	315	17	,	,	PUNCT
cana-6006	315	18	and	and	CCONJ
cana-6006	315	19	f1score	f1score	NOUN
cana-6006	315	20	.	.	PUNCT
cana-6006	316	1	the	the	DET
cana-6006	316	2	model	model	NOUN
cana-6006	316	3	achieves	achieve	VERB
cana-6006	316	4	a	a	DET
cana-6006	316	5	precision	precision	NOUN
cana-6006	316	6	of	of	ADP
cana-6006	316	7	93.2	93.2	NUM
cana-6006	316	8	%	%	NOUN
cana-6006	316	9	,	,	PUNCT
cana-6006	316	10	meaning	mean	VERB
cana-6006	316	11	it	it	PRON
cana-6006	316	12	accurately	accurately	ADV
cana-6006	316	13	identifies	identify	VERB
cana-6006	316	14	true	true	ADJ
cana-6006	316	15	positive	positive	ADJ
cana-6006	316	16	cases	case	NOUN
cana-6006	316	17	while	while	SCONJ
cana-6006	316	18	minimizing	minimize	VERB
cana-6006	316	19	false	false	ADJ
cana-6006	316	20	positives	positive	NOUN
cana-6006	316	21	.	.	PUNCT
cana-6006	317	1	additionally	additionally	ADV
cana-6006	317	2	,	,	PUNCT
cana-6006	317	3	its	its	PRON
cana-6006	317	4	recall	recall	NOUN
cana-6006	317	5	rate	rate	NOUN
cana-6006	317	6	of	of	ADP
cana-6006	317	7	92.9	92.9	NUM
cana-6006	317	8	%	%	NOUN
cana-6006	317	9	shows	show	VERB
cana-6006	317	10	it	it	PRON
cana-6006	317	11	effectively	effectively	ADV
cana-6006	317	12	detects	detect	VERB
cana-6006	317	13	most	most	ADJ
cana-6006	317	14	of	of	ADP
cana-6006	317	15	the	the	DET
cana-6006	317	16	actual	actual	ADJ
cana-6006	317	17	positive	positive	ADJ
cana-6006	317	18	cases	case	NOUN
cana-6006	317	19	,	,	PUNCT
cana-6006	317	20	keeping	keep	VERB
cana-6006	317	21	false	false	ADJ
cana-6006	317	22	negatives	negative	NOUN
cana-6006	317	23	very	very	ADV
cana-6006	317	24	low	low	ADJ
cana-6006	317	25	.	.	PUNCT
cana-6006	318	1	the	the	DET
cana-6006	318	2	f1	f1	NOUN
cana-6006	318	3	-	-	PUNCT
cana-6006	318	4	score	score	NOUN
cana-6006	318	5	,	,	PUNCT
cana-6006	318	6	a	a	DET
cana-6006	318	7	balanced	balanced	ADJ
cana-6006	318	8	measure	measure	NOUN
cana-6006	318	9	of	of	ADP
cana-6006	318	10	precision	precision	NOUN
cana-6006	318	11	and	and	CCONJ
cana-6006	318	12	recall	recall	NOUN
cana-6006	318	13	,	,	PUNCT
cana-6006	318	14	is	be	AUX
cana-6006	318	15	93.0	93.0	NUM
cana-6006	318	16	%	%	NOUN
cana-6006	318	17	,	,	PUNCT
cana-6006	318	18	reflecting	reflect	VERB
cana-6006	318	19	strong	strong	ADJ
cana-6006	318	20	overall	overall	ADJ
cana-6006	318	21	performance	performance	NOUN
cana-6006	318	22	.	.	PUNCT
cana-6006	319	1	these	these	DET
cana-6006	319	2	closely	closely	ADV
cana-6006	319	3	aligned	align	VERB
cana-6006	319	4	values	value	NOUN
cana-6006	319	5	demonstrate	demonstrate	VERB
cana-6006	319	6	the	the	DET
cana-6006	319	7	model	model	NOUN
cana-6006	319	8	’s	’s	PART
cana-6006	319	9	consistency	consistency	NOUN
cana-6006	319	10	,	,	PUNCT
cana-6006	319	11	robustness	robustness	NOUN
cana-6006	319	12	,	,	PUNCT
cana-6006	319	13	and	and	CCONJ
cana-6006	319	14	reliability	reliability	NOUN
cana-6006	319	15	in	in	ADP
cana-6006	319	16	classification	classification	NOUN
cana-6006	319	17	tasks	task	NOUN
cana-6006	319	18	.	.	PUNCT
cana-6006	320	1	overall	overall	ADV
cana-6006	320	2	,	,	PUNCT
cana-6006	320	3	the	the	DET
cana-6006	320	4	metrics	metric	NOUN
cana-6006	320	5	confirm	confirm	VERB
cana-6006	320	6	the	the	DET
cana-6006	320	7	model	model	NOUN
cana-6006	320	8	’s	’s	PART
cana-6006	320	9	high	high	ADJ
cana-6006	320	10	accuracy	accuracy	NOUN
cana-6006	320	11	and	and	CCONJ
cana-6006	320	12	balanced	balanced	ADJ
cana-6006	320	13	predictive	predictive	ADJ
cana-6006	320	14	capability	capability	NOUN
cana-6006	320	15	.	.	PUNCT
cana-6006	321	1	•	•	NOUN
cana-6006	321	2	performance	performance	NOUN
cana-6006	321	3	steadily	steadily	ADV
cana-6006	321	4	improves	improve	VERB
cana-6006	321	5	from	from	ADP
cana-6006	321	6	vgg16	vgg16	PROPN
cana-6006	321	7	→	→	SYM
cana-6006	321	8	resnet-50	resnet-50	PROPN
cana-6006	321	9	→	→	SYM
cana-6006	321	10	resnet-50	resnet-50	PROPN
cana-6006	321	11	+	+	CCONJ
cana-6006	321	12	se	se	X
cana-6006	321	13	→	→	SYM
cana-6006	321	14	modified	modify	VERB
cana-6006	321	15	resnet-50	resnet-50	PROPN
cana-6006	321	16	+	+	CCONJ
cana-6006	321	17	se	se	X
cana-6006	321	18	+	+	CCONJ
cana-6006	321	19	u	u	NOUN
cana-6006	321	20	-	-	NOUN
cana-6006	321	21	net	net	NOUN
cana-6006	321	22	.	.	PUNCT
cana-6006	322	1	•	•	NUM
cana-6006	322	2	each	each	DET
cana-6006	322	3	architectural	architectural	ADJ
cana-6006	322	4	enhancement	enhancement	NOUN
cana-6006	322	5	addresses	address	VERB
cana-6006	322	6	the	the	DET
cana-6006	322	7	limitations	limitation	NOUN
cana-6006	322	8	of	of	ADP
cana-6006	322	9	the	the	DET
cana-6006	322	10	previous	previous	ADJ
cana-6006	322	11	one	one	NOUN
cana-6006	322	12	:	:	PUNCT
cana-6006	322	13	o	o	PROPN
cana-6006	322	14	vgg16	vgg16	PROPN
cana-6006	322	15	(	(	PUNCT
cana-6006	322	16	basic	basic	ADJ
cana-6006	322	17	cnn	cnn	PROPN
cana-6006	322	18	)	)	PUNCT
cana-6006	323	1	o	o	PROPN
cana-6006	323	2	resnet-50	resnet-50	PROPN
cana-6006	323	3	(	(	PUNCT
cana-6006	323	4	deep	deep	ADJ
cana-6006	323	5	residual	residual	ADJ
cana-6006	323	6	learning	learning	NOUN
cana-6006	323	7	)	)	PUNCT
cana-6006	323	8	o	o	PROPN
cana-6006	323	9	se	se	X
cana-6006	323	10	blocks	blocks	PROPN
cana-6006	323	11	(	(	PUNCT
cana-6006	323	12	channel	channel	NOUN
cana-6006	323	13	attention	attention	NOUN
cana-6006	323	14	mechanism	mechanism	NOUN
cana-6006	323	15	)	)	PUNCT
cana-6006	324	1	o	o	NOUN
cana-6006	324	2	u	u	ADJ
cana-6006	324	3	-	-	ADJ
cana-6006	324	4	net	net	ADJ
cana-6006	324	5	modification	modification	NOUN
cana-6006	324	6	(	(	PUNCT
cana-6006	324	7	better	well	ADJ
cana-6006	324	8	feature	feature	NOUN
cana-6006	324	9	extraction	extraction	NOUN
cana-6006	324	10	and	and	CCONJ
cana-6006	324	11	reconstruction	reconstruction	NOUN
cana-6006	324	12	)	)	PUNCT
cana-6006	324	13	.	.	PUNCT
cana-6006	325	1	•	•	NUM
cana-6006	325	2	the	the	DET
cana-6006	325	3	modified	modify	VERB
cana-6006	325	4	resnet-50	resnet-50	PROPN
cana-6006	325	5	+	+	CCONJ
cana-6006	325	6	se	se	X
cana-6006	325	7	+	+	CCONJ
cana-6006	325	8	u	u	NOUN
cana-6006	325	9	-	-	NOUN
cana-6006	325	10	net	net	NOUN
cana-6006	325	11	achieves	achieve	VERB
cana-6006	325	12	the	the	DET
cana-6006	325	13	best	good	ADJ
cana-6006	325	14	results	result	NOUN
cana-6006	325	15	across	across	ADP
cana-6006	325	16	all	all	DET
cana-6006	325	17	metrics	metric	NOUN
cana-6006	325	18	,	,	PUNCT
cana-6006	325	19	showing	show	VERB
cana-6006	325	20	that	that	SCONJ
cana-6006	325	21	combining	combine	VERB
cana-6006	325	22	residual	residual	ADJ
cana-6006	325	23	learning	learning	NOUN
cana-6006	325	24	,	,	PUNCT
cana-6006	325	25	attention	attention	NOUN
cana-6006	325	26	,	,	PUNCT
cana-6006	325	27	and	and	CCONJ
cana-6006	325	28	encoder	encoder	NOUN
cana-6006	325	29	-	-	PUNCT
cana-6006	325	30	decoder	decoder	NOUN
cana-6006	325	31	design	design	NOUN
cana-6006	325	32	is	be	AUX
cana-6006	325	33	highly	highly	ADV
cana-6006	325	34	effective	effective	ADJ
cana-6006	325	35	.	.	PUNCT
cana-6006	326	1	fig	fig	NOUN
cana-6006	326	2	.	.	PUNCT
cana-6006	327	1	10	10	NUM
cana-6006	327	2	:	:	PUNCT
cana-6006	327	3	graphical	graphical	ADJ
cana-6006	327	4	representation	representation	NOUN
cana-6006	327	5	of	of	ADP
cana-6006	327	6	accuracy	accuracy	NOUN
cana-6006	327	7	comparison	comparison	NOUN
cana-6006	327	8	metrics	metric	NOUN
cana-6006	327	9	for	for	ADP
cana-6006	327	10	the	the	DET
cana-6006	327	11	proposed	propose	VERB
cana-6006	327	12	technique	technique	NOUN
cana-6006	327	13	and	and	CCONJ
cana-6006	327	14	existing	exist	VERB
cana-6006	327	15	techniques	technique	NOUN
cana-6006	327	16	of	of	ADP
cana-6006	327	17	deep	deep	ADJ
cana-6006	327	18	learning	learning	NOUN
cana-6006	327	19	models	model	NOUN
cana-6006	327	20	.	.	PUNCT
cana-6006	328	1	the	the	DET
cana-6006	328	2	x	x	X
cana-6006	328	3	-	-	NOUN
cana-6006	328	4	axis	axis	NOUN
cana-6006	328	5	represents	represent	VERB
cana-6006	328	6	the	the	DET
cana-6006	328	7	proposed	propose	VERB
cana-6006	328	8	technique	technique	NOUN
cana-6006	328	9	and	and	CCONJ
cana-6006	328	10	existing	exist	VERB
cana-6006	328	11	techniques	technique	NOUN
cana-6006	328	12	,	,	PUNCT
cana-6006	328	13	whereas	whereas	SCONJ
cana-6006	328	14	the	the	DET
cana-6006	328	15	y	y	NOUN
cana-6006	328	16	-	-	PUNCT
cana-6006	328	17	axis	axis	NOUN
cana-6006	328	18	represents	represent	VERB
cana-6006	328	19	the	the	DET
cana-6006	328	20	accuracy	accuracy	NOUN
cana-6006	328	21	percentage	percentage	NOUN
cana-6006	328	22	in	in	ADP
cana-6006	328	23	%	%	NOUN
cana-6006	328	24	.	.	PUNCT
cana-6006	329	1	88.4	88.4	NUM
cana-6006	329	2	91.2	91.2	NUM
cana-6006	329	3	93.6	93.6	NUM
cana-6006	329	4	94.6	94.6	NUM
cana-6006	329	5	84	84	NUM
cana-6006	329	6	86	86	NUM
cana-6006	329	7	88	88	NUM
cana-6006	329	8	90	90	NUM
cana-6006	329	9	92	92	NUM
cana-6006	329	10	94	94	NUM
cana-6006	329	11	96	96	NUM
cana-6006	329	12	vgg16	vgg16	PROPN
cana-6006	329	13	resnet-50	resnet-50	PROPN
cana-6006	329	14	(	(	PUNCT
cana-6006	329	15	base	base	NOUN
cana-6006	329	16	)	)	PUNCT
cana-6006	329	17	resnet-50	resnet-50	PROPN
cana-6006	329	18	+	+	CCONJ
cana-6006	329	19	se	se	X
cana-6006	329	20	modified	modified	PROPN
cana-6006	329	21	resnet-50	resnet-50	PROPN
cana-6006	329	22	with	with	ADP
cana-6006	329	23	se	se	X
cana-6006	329	24	blocks	block	NOUN
cana-6006	329	25	and	and	CCONJ
cana-6006	329	26	u	u	NOUN
cana-6006	329	27	-	-	ADJ
cana-6006	329	28	net	net	ADJ
cana-6006	329	29	preprocessing	preprocessing	NOUN
cana-6006	329	30	model	model	NOUN
cana-6006	329	31	names	name	NOUN
cana-6006	329	32	accuracy	accuracy	NOUN
cana-6006	329	33	comparison	comparison	NOUN
cana-6006	329	34	of	of	ADP
cana-6006	329	35	deep	deep	ADJ
cana-6006	329	36	learning	learning	NOUN
cana-6006	329	37	models	model	NOUN
cana-6006	329	38	communications	communication	NOUN
cana-6006	329	39	on	on	ADP
cana-6006	329	40	applied	apply	VERB
cana-6006	329	41	nonlinear	nonlinear	ADJ
cana-6006	329	42	analysis	analysis	NOUN
cana-6006	329	43	issn	issn	NOUN
cana-6006	329	44	:	:	PUNCT
cana-6006	329	45	1074	1074	NUM
cana-6006	329	46	-	-	PUNCT
cana-6006	329	47	133x	133x	NUM
cana-6006	329	48	vol	vol	VERB
cana-6006	329	49	32	32	NUM
cana-6006	329	50	no	no	NOUN
cana-6006	329	51	.	.	PUNCT
cana-6006	330	1	10s	10	NOUN
cana-6006	330	2	(	(	PUNCT
cana-6006	330	3	2025	2025	NUM
cana-6006	330	4	)	)	PUNCT
cana-6006	330	5	3217	3217	NUM
cana-6006	330	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6006	331	1	the	the	DET
cana-6006	331	2	chart	chart	NOUN
cana-6006	331	3	illustrates	illustrate	VERB
cana-6006	331	4	the	the	DET
cana-6006	331	5	accuracy	accuracy	NOUN
cana-6006	331	6	comparison	comparison	NOUN
cana-6006	331	7	of	of	ADP
cana-6006	331	8	different	different	ADJ
cana-6006	331	9	deep	deep	ADJ
cana-6006	331	10	learning	learning	NOUN
cana-6006	331	11	models	model	NOUN
cana-6006	331	12	for	for	ADP
cana-6006	331	13	brain	brain	NOUN
cana-6006	331	14	hemorrhage	hemorrhage	NOUN
cana-6006	331	15	detection	detection	NOUN
cana-6006	331	16	.	.	PUNCT
cana-6006	332	1	the	the	DET
cana-6006	332	2	vgg16	vgg16	PROPN
cana-6006	332	3	model	model	NOUN
cana-6006	332	4	achieved	achieve	VERB
cana-6006	332	5	the	the	DET
cana-6006	332	6	lowest	low	ADJ
cana-6006	332	7	accuracy	accuracy	NOUN
cana-6006	332	8	of	of	ADP
cana-6006	332	9	88.4	88.4	NUM
cana-6006	332	10	%	%	NOUN
cana-6006	332	11	,	,	PUNCT
cana-6006	332	12	showing	show	VERB
cana-6006	332	13	its	its	PRON
cana-6006	332	14	limitations	limitation	NOUN
cana-6006	332	15	in	in	ADP
cana-6006	332	16	handling	handle	VERB
cana-6006	332	17	complex	complex	ADJ
cana-6006	332	18	features	feature	NOUN
cana-6006	332	19	.	.	PUNCT
cana-6006	333	1	resnet-50	resnet-50	NUM
cana-6006	333	2	improved	improve	VERB
cana-6006	333	3	accuracy	accuracy	NOUN
cana-6006	333	4	to	to	ADP
cana-6006	333	5	91.2	91.2	NUM
cana-6006	333	6	%	%	NOUN
cana-6006	333	7	because	because	SCONJ
cana-6006	333	8	of	of	ADP
cana-6006	333	9	the	the	DET
cana-6006	333	10	residual	residual	ADJ
cana-6006	333	11	connections	connection	NOUN
cana-6006	333	12	.	.	PUNCT
cana-6006	334	1	with	with	ADP
cana-6006	334	2	the	the	DET
cana-6006	334	3	addition	addition	NOUN
cana-6006	334	4	of	of	ADP
cana-6006	334	5	squeeze	squeeze	NOUN
cana-6006	334	6	-	-	PUNCT
cana-6006	334	7	and	and	CCONJ
cana-6006	334	8	-	-	PUNCT
cana-6006	334	9	excitation	excitation	NOUN
cana-6006	334	10	(	(	PUNCT
cana-6006	334	11	se	se	ADJ
cana-6006	334	12	)	)	PUNCT
cana-6006	334	13	blocks	block	NOUN
cana-6006	334	14	,	,	PUNCT
cana-6006	334	15	the	the	DET
cana-6006	334	16	accuracy	accuracy	NOUN
cana-6006	334	17	further	far	ADV
cana-6006	334	18	increased	increase	VERB
cana-6006	334	19	to	to	ADP
cana-6006	334	20	93.6	93.6	NUM
cana-6006	334	21	%	%	NOUN
cana-6006	334	22	,	,	PUNCT
cana-6006	334	23	highlighting	highlight	VERB
cana-6006	334	24	the	the	DET
cana-6006	334	25	benefit	benefit	NOUN
cana-6006	334	26	of	of	ADP
cana-6006	334	27	channel	channel	NOUN
cana-6006	334	28	attention	attention	NOUN
cana-6006	334	29	mechanisms	mechanism	NOUN
cana-6006	334	30	.	.	PUNCT
cana-6006	335	1	the	the	DET
cana-6006	335	2	modified	modify	VERB
cana-6006	335	3	resnet-50	resnet-50	PROPN
cana-6006	335	4	integrated	integrate	VERB
cana-6006	335	5	with	with	ADP
cana-6006	335	6	se	se	X
cana-6006	335	7	blocks	block	NOUN
cana-6006	335	8	and	and	CCONJ
cana-6006	335	9	u	u	NOUN
cana-6006	335	10	-	-	ADJ
cana-6006	335	11	net	net	ADJ
cana-6006	335	12	preprocessing	preprocessing	NOUN
cana-6006	335	13	achieved	achieve	VERB
cana-6006	335	14	the	the	DET
cana-6006	335	15	highest	high	ADJ
cana-6006	335	16	accuracy	accuracy	NOUN
cana-6006	335	17	of	of	ADP
cana-6006	335	18	94.6	94.6	NUM
cana-6006	335	19	%	%	NOUN
cana-6006	335	20	,	,	PUNCT
cana-6006	335	21	demonstrating	demonstrate	VERB
cana-6006	335	22	the	the	DET
cana-6006	335	23	effectiveness	effectiveness	NOUN
cana-6006	335	24	of	of	ADP
cana-6006	335	25	combining	combine	VERB
cana-6006	335	26	residual	residual	ADJ
cana-6006	335	27	learning	learning	NOUN
cana-6006	335	28	,	,	PUNCT
cana-6006	335	29	channel	channel	NOUN
cana-6006	335	30	recalibration	recalibration	NOUN
cana-6006	335	31	,	,	PUNCT
cana-6006	335	32	and	and	CCONJ
cana-6006	335	33	encoder	encoder	NOUN
cana-6006	335	34	–	–	PUNCT
cana-6006	335	35	decoder	decoder	NOUN
cana-6006	335	36	segmentation	segmentation	NOUN
cana-6006	335	37	.	.	PUNCT
cana-6006	336	1	this	this	DET
cana-6006	336	2	progression	progression	NOUN
cana-6006	336	3	clearly	clearly	ADV
cana-6006	336	4	shows	show	VERB
cana-6006	336	5	that	that	SCONJ
cana-6006	336	6	each	each	DET
cana-6006	336	7	architectural	architectural	ADJ
cana-6006	336	8	enhancement	enhancement	NOUN
cana-6006	336	9	leads	lead	VERB
cana-6006	336	10	to	to	ADP
cana-6006	336	11	consistent	consistent	ADJ
cana-6006	336	12	accuracy	accuracy	NOUN
cana-6006	336	13	improvements	improvement	NOUN
cana-6006	336	14	.	.	PUNCT
cana-6006	337	1	figure	figure	NOUN
cana-6006	337	2	10	10	NUM
cana-6006	337	3	represents	represent	VERB
cana-6006	337	4	the	the	DET
cana-6006	337	5	comparison	comparison	NOUN
cana-6006	337	6	of	of	ADP
cana-6006	337	7	the	the	DET
cana-6006	337	8	classification	classification	NOUN
cana-6006	337	9	accuracy	accuracy	NOUN
cana-6006	337	10	of	of	ADP
cana-6006	337	11	the	the	DET
cana-6006	337	12	deep	deep	ADJ
cana-6006	337	13	learning	learning	NOUN
cana-6006	337	14	models	model	NOUN
cana-6006	337	15	used	use	VERB
cana-6006	337	16	in	in	ADP
cana-6006	337	17	the	the	DET
cana-6006	337	18	brain	brain	NOUN
cana-6006	337	19	hemorrhage	hemorrhage	NOUN
cana-6006	337	20	detection	detection	NOUN
cana-6006	337	21	task	task	NOUN
cana-6006	337	22	.	.	PUNCT
cana-6006	338	1	the	the	DET
cana-6006	338	2	highest	high	ADJ
cana-6006	338	3	accuracy	accuracy	NOUN
cana-6006	338	4	(	(	PUNCT
cana-6006	338	5	94.6	94.6	NUM
cana-6006	338	6	%	%	NOUN
cana-6006	338	7	)	)	PUNCT
cana-6006	338	8	was	be	AUX
cana-6006	338	9	achieved	achieve	VERB
cana-6006	338	10	using	use	VERB
cana-6006	338	11	modified	modify	VERB
cana-6006	338	12	resnet-50	resnet-50	PROPN
cana-6006	338	13	with	with	ADP
cana-6006	338	14	se	se	X
cana-6006	338	15	blocks	block	NOUN
cana-6006	338	16	and	and	CCONJ
cana-6006	338	17	u	u	NOUN
cana-6006	338	18	-	-	ADJ
cana-6006	338	19	net	net	ADJ
cana-6006	338	20	preprocessing	preprocessing	NOUN
cana-6006	338	21	.	.	PUNCT
cana-6006	339	1	it	it	PRON
cana-6006	339	2	surpassed	surpass	VERB
cana-6006	339	3	the	the	DET
cana-6006	339	4	baseline	baseline	NOUN
cana-6006	339	5	resnet-50	resnet-50	PROPN
cana-6006	339	6	and	and	CCONJ
cana-6006	339	7	vgg16	vgg16	NOUN
cana-6006	339	8	models	model	NOUN
cana-6006	339	9	(	(	PUNCT
cana-6006	339	10	which	which	PRON
cana-6006	339	11	only	only	ADV
cana-6006	339	12	used	use	VERB
cana-6006	339	13	u	u	NOUN
cana-6006	339	14	-	-	ADJ
cana-6006	339	15	net	net	ADJ
cana-6006	339	16	preprocessing	preprocessing	NOUN
cana-6006	339	17	)	)	PUNCT
cana-6006	339	18	,	,	PUNCT
cana-6006	339	19	giving	give	VERB
cana-6006	339	20	support	support	NOUN
cana-6006	339	21	to	to	ADP
cana-6006	339	22	the	the	DET
cana-6006	339	23	use	use	NOUN
cana-6006	339	24	of	of	ADP
cana-6006	339	25	attention	attention	NOUN
cana-6006	339	26	mechanisms	mechanism	NOUN
cana-6006	339	27	(	(	PUNCT
cana-6006	339	28	se	se	INTJ
cana-6006	339	29	blocks	block	NOUN
cana-6006	339	30	)	)	PUNCT
cana-6006	339	31	and	and	CCONJ
cana-6006	339	32	advanced	advanced	ADJ
cana-6006	339	33	preprocessing	preprocessing	NOUN
cana-6006	339	34	techniques	technique	NOUN
cana-6006	339	35	for	for	ADP
cana-6006	339	36	the	the	DET
cana-6006	339	37	classification	classification	NOUN
cana-6006	339	38	of	of	ADP
cana-6006	339	39	medical	medical	ADJ
cana-6006	339	40	images	image	NOUN
cana-6006	339	41	.	.	PUNCT
cana-6006	340	1	table	table	NOUN
cana-6006	340	2	3	3	NUM
cana-6006	340	3	:	:	PUNCT
cana-6006	340	4	comparative	comparative	ADJ
cana-6006	340	5	analysis	analysis	NOUN
cana-6006	340	6	of	of	ADP
cana-6006	340	7	proposed	propose	VERB
cana-6006	340	8	technique	technique	NOUN
cana-6006	340	9	with	with	ADP
cana-6006	340	10	existing	exist	VERB
cana-6006	340	11	techniques	technique	NOUN
cana-6006	340	12	in	in	ADP
cana-6006	340	13	terms	term	NOUN
cana-6006	340	14	of	of	ADP
cana-6006	340	15	precision	precision	NOUN
cana-6006	340	16	,	,	PUNCT
cana-6006	340	17	recall	recall	NOUN
cana-6006	340	18	,	,	PUNCT
cana-6006	340	19	and	and	CCONJ
cana-6006	340	20	f1	f1	NOUN
cana-6006	340	21	-	-	PUNCT
cana-6006	340	22	score	score	NOUN
cana-6006	340	23	as	as	ADP
cana-6006	340	24	performance	performance	NOUN
cana-6006	340	25	metrics	metric	NOUN
cana-6006	340	26	.	.	PUNCT
cana-6006	341	1	model	model	NOUN
cana-6006	341	2	precision	precision	NOUN
cana-6006	341	3	(	(	PUNCT
cana-6006	341	4	%	%	INTJ
cana-6006	341	5	)	)	PUNCT
cana-6006	341	6	recall	recall	NOUN
cana-6006	341	7	(	(	PUNCT
cana-6006	341	8	%	%	NOUN
cana-6006	341	9	)	)	PUNCT
cana-6006	341	10	f1	f1	NOUN
cana-6006	341	11	-	-	PUNCT
cana-6006	341	12	score	score	NOUN
cana-6006	341	13	(	(	PUNCT
cana-6006	341	14	%	%	INTJ
cana-6006	341	15	)	)	PUNCT
cana-6006	341	16	vgg16	vgg16	NOUN
cana-6006	342	1	[	[	NOUN
cana-6006	342	2	10	10	NUM
cana-6006	342	3	]	]	SYM
cana-6006	342	4	87.1	87.1	NUM
cana-6006	342	5	86.5	86.5	NUM
cana-6006	342	6	86.8	86.8	NUM
cana-6006	342	7	resnet-50	resnet-50	NOUN
cana-6006	343	1	[	[	X
cana-6006	343	2	10	10	NUM
cana-6006	343	3	]	]	SYM
cana-6006	343	4	90.5	90.5	NUM
cana-6006	343	5	89.7	89.7	NUM
cana-6006	343	6	90.1	90.1	NUM
cana-6006	343	7	resnet-50	resnet-50	PROPN
cana-6006	343	8	+	+	CCONJ
cana-6006	343	9	se	se	X
cana-6006	344	1	[	[	X
cana-6006	344	2	20][19	20][19	X
cana-6006	344	3	]	]	X
cana-6006	344	4	92.3	92.3	NUM
cana-6006	344	5	91.8	91.8	NUM
cana-6006	344	6	92	92	NUM
cana-6006	344	7	modified	modify	VERB
cana-6006	344	8	resnet-50	resnet-50	PROPN
cana-6006	344	9	with	with	ADP
cana-6006	344	10	se	se	X
cana-6006	344	11	blocks	block	NOUN
cana-6006	344	12	and	and	CCONJ
cana-6006	344	13	u	u	NOUN
cana-6006	344	14	-	-	ADJ
cana-6006	344	15	net	net	ADJ
cana-6006	344	16	preprocessing	preprocesse	VERB
cana-6006	344	17	93.2	93.2	NUM
cana-6006	344	18	92.9	92.9	NUM
cana-6006	344	19	93	93	NUM
cana-6006	344	20	table	table	NOUN
cana-6006	344	21	3	3	NUM
cana-6006	344	22	presents	present	VERB
cana-6006	344	23	the	the	DET
cana-6006	344	24	precision	precision	NOUN
cana-6006	344	25	,	,	PUNCT
cana-6006	344	26	recall	recall	NOUN
cana-6006	344	27	,	,	PUNCT
cana-6006	344	28	and	and	CCONJ
cana-6006	344	29	f1	f1	NOUN
cana-6006	344	30	-	-	PUNCT
cana-6006	344	31	score	score	NOUN
cana-6006	344	32	for	for	ADP
cana-6006	344	33	the	the	DET
cana-6006	344	34	different	different	ADJ
cana-6006	344	35	deep	deep	ADJ
cana-6006	344	36	learning	learning	NOUN
cana-6006	344	37	models	model	NOUN
cana-6006	344	38	used	use	VERB
cana-6006	344	39	to	to	PART
cana-6006	344	40	classify	classify	VERB
cana-6006	344	41	brain	brain	NOUN
cana-6006	344	42	hemorrhages	hemorrhage	NOUN
cana-6006	344	43	.	.	PUNCT
cana-6006	345	1	the	the	DET
cana-6006	345	2	vgg16	vgg16	NOUN
cana-6006	345	3	has	have	VERB
cana-6006	345	4	the	the	DET
cana-6006	345	5	lowest	low	ADJ
cana-6006	345	6	score	score	NOUN
cana-6006	345	7	across	across	ADP
cana-6006	345	8	all	all	DET
cana-6006	345	9	three	three	NUM
cana-6006	345	10	metrics	metric	NOUN
cana-6006	345	11	.	.	PUNCT
cana-6006	346	1	resnet-50	resnet-50	PROPN
cana-6006	346	2	improves	improve	VERB
cana-6006	346	3	these	these	DET
cana-6006	346	4	scores	score	NOUN
cana-6006	346	5	,	,	PUNCT
cana-6006	346	6	which	which	PRON
cana-6006	346	7	increase	increase	VERB
cana-6006	346	8	even	even	ADV
cana-6006	346	9	further	far	ADV
cana-6006	346	10	after	after	ADP
cana-6006	346	11	adding	add	VERB
cana-6006	346	12	the	the	DET
cana-6006	346	13	se	se	PROPN
cana-6006	346	14	blocks	block	NOUN
cana-6006	346	15	.	.	PUNCT
cana-6006	347	1	the	the	DET
cana-6006	347	2	modified	modified	ADJ
cana-6006	347	3	resnet50	resnet50	NOUN
cana-6006	347	4	with	with	ADP
cana-6006	347	5	se	se	PROPN
cana-6006	347	6	blocks	block	NOUN
cana-6006	347	7	and	and	CCONJ
cana-6006	347	8	u	u	NOUN
cana-6006	347	9	-	-	ADJ
cana-6006	347	10	net	net	ADJ
cana-6006	347	11	pre	pre	ADJ
cana-6006	347	12	-	-	ADJ
cana-6006	347	13	processing	processing	NOUN
cana-6006	347	14	achieves	achieve	VERB
cana-6006	347	15	the	the	DET
cana-6006	347	16	highest	high	ADJ
cana-6006	347	17	scores	score	NOUN
cana-6006	347	18	across	across	ADP
cana-6006	347	19	all	all	DET
cana-6006	347	20	metrics	metric	NOUN
cana-6006	347	21	(	(	PUNCT
cana-6006	347	22	precision	precision	NOUN
cana-6006	347	23	=	=	SYM
cana-6006	347	24	93.2	93.2	NUM
cana-6006	347	25	%	%	NOUN
cana-6006	347	26	;	;	PUNCT
cana-6006	347	27	recall	recall	NOUN
cana-6006	347	28	=	=	PROPN
cana-6006	347	29	92.9	92.9	NUM
cana-6006	347	30	%	%	NOUN
cana-6006	347	31	;	;	PUNCT
cana-6006	347	32	f1	f1	NOUN
cana-6006	347	33	-	-	PUNCT
cana-6006	347	34	score	score	NOUN
cana-6006	347	35	=	=	NOUN
cana-6006	347	36	93.0	93.0	NUM
cana-6006	347	37	%	%	NOUN
cana-6006	347	38	)	)	PUNCT
cana-6006	347	39	.	.	PUNCT
cana-6006	348	1	this	this	PRON
cana-6006	348	2	implies	imply	VERB
cana-6006	348	3	the	the	DET
cana-6006	348	4	model	model	NOUN
cana-6006	348	5	was	be	AUX
cana-6006	348	6	able	able	ADJ
cana-6006	348	7	to	to	PART
cana-6006	348	8	detect	detect	VERB
cana-6006	348	9	the	the	DET
cana-6006	348	10	true	true	ADJ
cana-6006	348	11	presence	presence	NOUN
cana-6006	348	12	or	or	CCONJ
cana-6006	348	13	absence	absence	NOUN
cana-6006	348	14	of	of	ADP
cana-6006	348	15	a	a	DET
cana-6006	348	16	hemorrhage	hemorrhage	NOUN
cana-6006	348	17	with	with	ADP
cana-6006	348	18	the	the	DET
cana-6006	348	19	least	least	ADJ
cana-6006	348	20	errors	error	NOUN
cana-6006	348	21	and	and	CCONJ
cana-6006	348	22	also	also	ADV
cana-6006	348	23	represents	represent	VERB
cana-6006	348	24	the	the	DET
cana-6006	348	25	best	good	ADJ
cana-6006	348	26	balance	balance	NOUN
cana-6006	348	27	with	with	ADP
cana-6006	348	28	regards	regard	NOUN
cana-6006	348	29	to	to	ADP
cana-6006	348	30	the	the	DET
cana-6006	348	31	resulting	result	VERB
cana-6006	348	32	positive	positive	ADJ
cana-6006	348	33	/	/	SYM
cana-6006	348	34	negative	negative	ADJ
cana-6006	348	35	classes	class	NOUN
cana-6006	348	36	when	when	SCONJ
cana-6006	348	37	estimating	estimate	VERB
cana-6006	348	38	predictions	prediction	NOUN
cana-6006	348	39	.	.	PUNCT
cana-6006	349	1	communications	communication	NOUN
cana-6006	349	2	on	on	ADP
cana-6006	349	3	applied	apply	VERB
cana-6006	349	4	nonlinear	nonlinear	ADJ
cana-6006	349	5	analysis	analysis	NOUN
cana-6006	349	6	issn	issn	NOUN
cana-6006	349	7	:	:	PUNCT
cana-6006	349	8	1074	1074	NUM
cana-6006	349	9	-	-	PUNCT
cana-6006	349	10	133x	133x	NUM
cana-6006	349	11	vol	vol	VERB
cana-6006	349	12	32	32	NUM
cana-6006	349	13	no	no	NOUN
cana-6006	349	14	.	.	PUNCT
cana-6006	350	1	10s	10	NOUN
cana-6006	350	2	(	(	PUNCT
cana-6006	350	3	2025	2025	NUM
cana-6006	350	4	)	)	PUNCT
cana-6006	350	5	3218	3218	NUM
cana-6006	350	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6006	350	7	fig	fig	NOUN
cana-6006	350	8	.	.	PUNCT
cana-6006	351	1	11	11	NUM
cana-6006	351	2	:	:	PUNCT
cana-6006	352	1	graphical	graphical	ADJ
cana-6006	352	2	representation	representation	NOUN
cana-6006	352	3	of	of	ADP
cana-6006	352	4	performance	performance	NOUN
cana-6006	352	5	metrics	metric	NOUN
cana-6006	352	6	comparison	comparison	NOUN
cana-6006	352	7	for	for	ADP
cana-6006	352	8	the	the	DET
cana-6006	352	9	proposed	propose	VERB
cana-6006	352	10	technique	technique	NOUN
cana-6006	352	11	and	and	CCONJ
cana-6006	352	12	existing	exist	VERB
cana-6006	352	13	deep	deep	ADJ
cana-6006	352	14	learning	learning	NOUN
cana-6006	352	15	techniques	technique	NOUN
cana-6006	352	16	.	.	PUNCT
cana-6006	353	1	the	the	DET
cana-6006	353	2	x	x	X
cana-6006	353	3	-	-	NOUN
cana-6006	353	4	axis	axis	NOUN
cana-6006	353	5	represents	represent	VERB
cana-6006	353	6	the	the	DET
cana-6006	353	7	proposed	propose	VERB
cana-6006	353	8	technique	technique	NOUN
cana-6006	353	9	and	and	CCONJ
cana-6006	353	10	existing	exist	VERB
cana-6006	353	11	techniques	technique	NOUN
cana-6006	353	12	,	,	PUNCT
cana-6006	353	13	whereas	whereas	SCONJ
cana-6006	353	14	the	the	DET
cana-6006	353	15	y	y	NOUN
cana-6006	353	16	-	-	PUNCT
cana-6006	353	17	axis	axis	NOUN
cana-6006	353	18	represents	represent	VERB
cana-6006	353	19	the	the	DET
cana-6006	353	20	accuracy	accuracy	NOUN
cana-6006	353	21	percentage	percentage	NOUN
cana-6006	353	22	in	in	ADP
cana-6006	353	23	%	%	NOUN
cana-6006	353	24	.	.	PUNCT
cana-6006	354	1	figure	figure	VERB
cana-6006	354	2	11	11	NUM
cana-6006	354	3	compares	compare	NOUN
cana-6006	354	4	precision	precision	NOUN
cana-6006	354	5	,	,	PUNCT
cana-6006	354	6	recall	recall	NOUN
cana-6006	354	7	,	,	PUNCT
cana-6006	354	8	and	and	CCONJ
cana-6006	354	9	f1	f1	NOUN
cana-6006	354	10	-	-	PUNCT
cana-6006	354	11	score	score	NOUN
cana-6006	354	12	across	across	ADP
cana-6006	354	13	different	different	ADJ
cana-6006	354	14	deep	deep	ADJ
cana-6006	354	15	learning	learning	NOUN
cana-6006	354	16	models	model	NOUN
cana-6006	354	17	for	for	ADP
cana-6006	354	18	brain	brain	NOUN
cana-6006	354	19	hemorrhage	hemorrhage	NOUN
cana-6006	354	20	detection	detection	NOUN
cana-6006	354	21	.	.	PUNCT
cana-6006	355	1	vgg16	vgg16	NOUN
cana-6006	355	2	shows	show	VERB
cana-6006	355	3	the	the	DET
cana-6006	355	4	lowest	low	ADJ
cana-6006	355	5	values	value	NOUN
cana-6006	355	6	,	,	PUNCT
cana-6006	355	7	indicating	indicate	VERB
cana-6006	355	8	its	its	PRON
cana-6006	355	9	limited	limited	ADJ
cana-6006	355	10	feature	feature	NOUN
cana-6006	355	11	extraction	extraction	NOUN
cana-6006	355	12	capacity	capacity	NOUN
cana-6006	355	13	.	.	PUNCT
cana-6006	356	1	resnet-50	resnet-50	PROPN
cana-6006	356	2	improves	improve	VERB
cana-6006	356	3	performance	performance	NOUN
cana-6006	356	4	due	due	ADP
cana-6006	356	5	to	to	ADP
cana-6006	356	6	residual	residual	ADJ
cana-6006	356	7	connections	connection	NOUN
cana-6006	356	8	,	,	PUNCT
cana-6006	356	9	achieving	achieve	VERB
cana-6006	356	10	higher	high	ADJ
cana-6006	356	11	precision	precision	NOUN
cana-6006	356	12	and	and	CCONJ
cana-6006	356	13	recall	recall	NOUN
cana-6006	356	14	.	.	PUNCT
cana-6006	357	1	the	the	DET
cana-6006	357	2	addition	addition	NOUN
cana-6006	357	3	of	of	ADP
cana-6006	357	4	se	se	PROPN
cana-6006	357	5	blocks	block	NOUN
cana-6006	357	6	further	further	ADJ
cana-6006	357	7	enhances	enhance	VERB
cana-6006	357	8	results	result	NOUN
cana-6006	357	9	by	by	ADP
cana-6006	357	10	focusing	focus	VERB
cana-6006	357	11	on	on	ADP
cana-6006	357	12	informative	informative	ADJ
cana-6006	357	13	channels	channel	NOUN
cana-6006	357	14	.	.	PUNCT
cana-6006	358	1	finally	finally	ADV
cana-6006	358	2	,	,	PUNCT
cana-6006	358	3	the	the	DET
cana-6006	358	4	modified	modify	VERB
cana-6006	358	5	resnet-50	resnet-50	PROPN
cana-6006	358	6	with	with	ADP
cana-6006	358	7	se	se	X
cana-6006	358	8	blocks	block	NOUN
cana-6006	358	9	and	and	CCONJ
cana-6006	358	10	u	u	NOUN
cana-6006	358	11	-	-	ADJ
cana-6006	358	12	net	net	ADJ
cana-6006	358	13	preprocessing	preprocessing	NOUN
cana-6006	358	14	achieves	achieve	VERB
cana-6006	358	15	the	the	DET
cana-6006	358	16	highest	high	ADJ
cana-6006	358	17	values	value	NOUN
cana-6006	358	18	across	across	ADP
cana-6006	358	19	all	all	DET
cana-6006	358	20	three	three	NUM
cana-6006	358	21	metrics	metric	NOUN
cana-6006	358	22	,	,	PUNCT
cana-6006	358	23	reflecting	reflect	VERB
cana-6006	358	24	superior	superior	ADJ
cana-6006	358	25	classification	classification	NOUN
cana-6006	358	26	ability	ability	NOUN
cana-6006	358	27	.	.	PUNCT
cana-6006	359	1	overall	overall	ADV
cana-6006	359	2	,	,	PUNCT
cana-6006	359	3	the	the	DET
cana-6006	359	4	diagram	diagram	NOUN
cana-6006	359	5	highlights	highlight	VERB
cana-6006	359	6	the	the	DET
cana-6006	359	7	progressive	progressive	ADJ
cana-6006	359	8	improvement	improvement	NOUN
cana-6006	359	9	in	in	ADP
cana-6006	359	10	model	model	NOUN
cana-6006	359	11	performance	performance	NOUN
cana-6006	359	12	with	with	ADP
cana-6006	359	13	each	each	DET
cana-6006	359	14	architectural	architectural	ADJ
cana-6006	359	15	enhancement	enhancement	NOUN
cana-6006	359	16	.	.	PUNCT
cana-6006	360	1	table	table	NOUN
cana-6006	360	2	4	4	NUM
cana-6006	360	3	:	:	PUNCT
cana-6006	360	4	comparative	comparative	ADJ
cana-6006	360	5	analysis	analysis	NOUN
cana-6006	360	6	of	of	ADP
cana-6006	360	7	evaluation	evaluation	NOUN
cana-6006	360	8	of	of	ADP
cana-6006	360	9	model	model	NOUN
cana-6006	360	10	performance	performance	NOUN
cana-6006	360	11	using	use	VERB
cana-6006	360	12	auc	auc	NOUN
cana-6006	360	13	-	-	PUNCT
cana-6006	360	14	roc	roc	NOUN
cana-6006	360	15	metrics	metric	NOUN
cana-6006	360	16	model	model	NOUN
cana-6006	360	17	auc	auc	PROPN
cana-6006	360	18	-	-	PUNCT
cana-6006	360	19	roc	roc	NOUN
cana-6006	360	20	(	(	PUNCT
cana-6006	360	21	%	%	INTJ
cana-6006	360	22	)	)	PUNCT
cana-6006	360	23	vgg16	vgg16	NOUN
cana-6006	361	1	[	[	X
cana-6006	361	2	11	11	NUM
cana-6006	361	3	]	]	SYM
cana-6006	361	4	90.2	90.2	NUM
cana-6006	361	5	resnet-50	resnet-50	PROPN
cana-6006	362	1	[	[	X
cana-6006	362	2	10	10	NUM
cana-6006	362	3	]	]	SYM
cana-6006	362	4	93.1	93.1	NUM
cana-6006	362	5	resnet-50	resnet-50	NOUN
cana-6006	362	6	+	+	NUM
cana-6006	362	7	se[20][19	se[20][19	NUM
cana-6006	362	8	]	]	X
cana-6006	362	9	94.7	94.7	NUM
cana-6006	362	10	modified	modify	VERB
cana-6006	362	11	resnet-50	resnet-50	PROPN
cana-6006	362	12	with	with	ADP
cana-6006	362	13	se	se	X
cana-6006	362	14	blocks	block	NOUN
cana-6006	362	15	and	and	CCONJ
cana-6006	362	16	u	u	NOUN
cana-6006	362	17	-	-	ADJ
cana-6006	362	18	net	net	ADJ
cana-6006	362	19	preprocessing	preprocessing	NOUN
cana-6006	362	20	95.4	95.4	NUM
cana-6006	362	21	in	in	ADP
cana-6006	362	22	table	table	NOUN
cana-6006	362	23	4	4	NUM
cana-6006	362	24	,	,	PUNCT
cana-6006	362	25	you	you	PRON
cana-6006	362	26	can	can	AUX
cana-6006	362	27	see	see	VERB
cana-6006	362	28	a	a	DET
cana-6006	362	29	comparative	comparative	ADJ
cana-6006	362	30	analysis	analysis	NOUN
cana-6006	362	31	of	of	ADP
cana-6006	362	32	auc	auc	NOUN
cana-6006	362	33	-	-	PUNCT
cana-6006	362	34	roc	roc	NOUN
cana-6006	362	35	scores	score	NOUN
cana-6006	362	36	from	from	ADP
cana-6006	362	37	multiple	multiple	ADJ
cana-6006	362	38	deep	deep	ADJ
cana-6006	362	39	learning	learning	NOUN
cana-6006	362	40	models	model	NOUN
cana-6006	362	41	in	in	ADP
cana-6006	362	42	the	the	DET
cana-6006	362	43	detection	detection	NOUN
cana-6006	362	44	of	of	ADP
cana-6006	362	45	brain	brain	NOUN
cana-6006	362	46	hemorrhages	hemorrhage	NOUN
cana-6006	362	47	.	.	PUNCT
cana-6006	363	1	vgg16	vgg16	PROPN
cana-6006	363	2	had	have	VERB
cana-6006	363	3	an	an	DET
cana-6006	363	4	auc	auc	NOUN
cana-6006	363	5	-	-	PUNCT
cana-6006	363	6	roc	roc	NOUN
cana-6006	363	7	of	of	ADP
cana-6006	363	8	90.2	90.2	NUM
cana-6006	363	9	%	%	NOUN
cana-6006	363	10	,	,	PUNCT
cana-6006	363	11	and	and	CCONJ
cana-6006	363	12	when	when	SCONJ
cana-6006	363	13	resnet50	resnet50	NOUN
cana-6006	363	14	took	take	VERB
cana-6006	363	15	over	over	ADP
cana-6006	363	16	,	,	PUNCT
cana-6006	363	17	we	we	PRON
cana-6006	363	18	increased	increase	VERB
cana-6006	363	19	to	to	ADP
cana-6006	363	20	an	an	DET
cana-6006	363	21	auc	auc	NOUN
cana-6006	363	22	-	-	PUNCT
cana-6006	363	23	roc	roc	NOUN
cana-6006	363	24	of	of	ADP
cana-6006	363	25	93.1	93.1	NUM
cana-6006	363	26	%	%	NOUN
cana-6006	363	27	.	.	PUNCT
cana-6006	364	1	we	we	PRON
cana-6006	364	2	also	also	ADV
cana-6006	364	3	utilized	utilize	VERB
cana-6006	364	4	se	se	X
cana-6006	364	5	blocks	block	NOUN
cana-6006	364	6	,	,	PUNCT
cana-6006	364	7	and	and	CCONJ
cana-6006	364	8	an	an	DET
cana-6006	364	9	auc	auc	NOUN
cana-6006	364	10	of	of	ADP
cana-6006	364	11	94.7	94.7	NUM
cana-6006	364	12	%	%	NOUN
cana-6006	364	13	was	be	AUX
cana-6006	364	14	observed	observe	VERB
cana-6006	364	15	.	.	PUNCT
cana-6006	365	1	the	the	DET
cana-6006	365	2	modified	modify	VERB
cana-6006	365	3	resnet-50	resnet-50	PROPN
cana-6006	365	4	used	use	VERB
cana-6006	365	5	se	se	NOUN
cana-6006	365	6	blocks	block	NOUN
cana-6006	365	7	and	and	CCONJ
cana-6006	365	8	u	u	NOUN
cana-6006	365	9	-	-	ADJ
cana-6006	365	10	net	net	ADJ
cana-6006	365	11	preprocessing	preprocessing	NOUN
cana-6006	365	12	had	have	VERB
cana-6006	365	13	a	a	DET
cana-6006	365	14	maximum	maximum	ADJ
cana-6006	365	15	auc	auc	VERB
cana-6006	365	16	-	-	PUNCT
cana-6006	365	17	roc	roc	NOUN
cana-6006	365	18	score	score	NOUN
cana-6006	365	19	of	of	ADP
cana-6006	365	20	95.4	95.4	NUM
cana-6006	365	21	%	%	NOUN
cana-6006	365	22	.	.	PUNCT
cana-6006	366	1	with	with	ADP
cana-6006	366	2	an	an	DET
cana-6006	366	3	auc	auc	NOUN
cana-6006	366	4	-	-	PUNCT
cana-6006	366	5	roc	roc	NOUN
cana-6006	366	6	of	of	ADP
cana-6006	366	7	95.4	95.4	NUM
cana-6006	366	8	%	%	NOUN
cana-6006	366	9	,	,	PUNCT
cana-6006	366	10	this	this	DET
cana-6006	366	11	model	model	NOUN
cana-6006	366	12	was	be	AUX
cana-6006	366	13	recognized	recognize	VERB
cana-6006	366	14	as	as	ADP
cana-6006	366	15	showing	show	VERB
cana-6006	366	16	good	good	ADJ
cana-6006	366	17	discriminatory	discriminatory	ADJ
cana-6006	366	18	ability	ability	NOUN
cana-6006	366	19	to	to	PART
cana-6006	366	20	differentiate	differentiate	VERB
cana-6006	366	21	hemorrhage	hemorrhage	NOUN
cana-6006	366	22	classes	class	NOUN
cana-6006	366	23	.	.	PUNCT
cana-6006	367	1	a	a	DET
cana-6006	367	2	higher	high	ADJ
cana-6006	367	3	auc	auc	NOUN
cana-6006	367	4	correlates	correlate	VERB
cana-6006	367	5	with	with	ADP
cana-6006	367	6	better	well	ADJ
cana-6006	367	7	classification	classification	NOUN
cana-6006	367	8	performance	performance	NOUN
cana-6006	367	9	overall	overall	ADV
cana-6006	367	10	,	,	PUNCT
cana-6006	367	11	increasing	increase	VERB
cana-6006	367	12	the	the	DET
cana-6006	367	13	reliability	reliability	NOUN
cana-6006	367	14	for	for	ADP
cana-6006	367	15	clinical	clinical	ADJ
cana-6006	367	16	diagnosis	diagnosis	NOUN
cana-6006	367	17	.	.	PUNCT
cana-6006	368	1	82	82	NUM
cana-6006	368	2	84	84	NUM
cana-6006	368	3	86	86	NUM
cana-6006	368	4	88	88	NUM
cana-6006	368	5	90	90	NUM
cana-6006	368	6	92	92	NUM
cana-6006	368	7	94	94	NUM
cana-6006	368	8	vgg16	vgg16	PROPN
cana-6006	368	9	resnet-50	resnet-50	PROPN
cana-6006	368	10	resnet-50	resnet-50	PROPN
cana-6006	368	11	+	+	CCONJ
cana-6006	368	12	se	se	X
cana-6006	368	13	modified	modified	PROPN
cana-6006	368	14	resnet-50	resnet-50	PROPN
cana-6006	368	15	with	with	ADP
cana-6006	368	16	se	se	X
cana-6006	368	17	blocks	block	NOUN
cana-6006	368	18	and	and	CCONJ
cana-6006	368	19	u	u	NOUN
cana-6006	368	20	-	-	ADJ
cana-6006	368	21	net	net	ADJ
cana-6006	368	22	preprocessing	preprocessing	NOUN
cana-6006	368	23	v	v	NUM
cana-6006	368	24	al	al	PROPN
cana-6006	368	25	u	u	PROPN
cana-6006	368	26	e	e	X
cana-6006	368	27	s	s	PROPN
cana-6006	368	28	in	in	ADP
cana-6006	368	29	p	p	PROPN
cana-6006	368	30	e	e	PROPN
cana-6006	368	31	rc	rc	PROPN
cana-6006	368	32	e	e	PROPN
cana-6006	368	33	n	n	PROPN
cana-6006	368	34	ta	ta	X
cana-6006	368	35	ge	ge	PROPN
cana-6006	368	36	(	(	PUNCT
cana-6006	368	37	%	%	INTJ
cana-6006	368	38	)	)	PUNCT
cana-6006	368	39	model	model	NOUN
cana-6006	368	40	names	name	NOUN
cana-6006	368	41	comparison	comparison	NOUN
cana-6006	368	42	of	of	ADP
cana-6006	368	43	precision	precision	NOUN
cana-6006	368	44	,	,	PUNCT
cana-6006	368	45	recall	recall	NOUN
cana-6006	368	46	,	,	PUNCT
cana-6006	368	47	and	and	CCONJ
cana-6006	368	48	f1	f1	NOUN
cana-6006	368	49	-	-	PUNCT
cana-6006	368	50	score	score	NOUN
cana-6006	368	51	across	across	ADP
cana-6006	368	52	models	model	NOUN
cana-6006	368	53	precision	precision	NOUN
cana-6006	368	54	(	(	PUNCT
cana-6006	368	55	%	%	INTJ
cana-6006	368	56	)	)	PUNCT
cana-6006	368	57	recall	recall	NOUN
cana-6006	368	58	(	(	PUNCT
cana-6006	368	59	%	%	NOUN
cana-6006	368	60	)	)	PUNCT
cana-6006	368	61	f1	f1	NOUN
cana-6006	368	62	-	-	PUNCT
cana-6006	368	63	score	score	NOUN
cana-6006	368	64	(	(	PUNCT
cana-6006	368	65	%	%	INTJ
cana-6006	368	66	)	)	PUNCT
cana-6006	368	67	communications	communication	NOUN
cana-6006	368	68	on	on	ADP
cana-6006	368	69	applied	apply	VERB
cana-6006	368	70	nonlinear	nonlinear	ADJ
cana-6006	368	71	analysis	analysis	NOUN
cana-6006	368	72	issn	issn	NOUN
cana-6006	368	73	:	:	PUNCT
cana-6006	368	74	1074	1074	NUM
cana-6006	368	75	-	-	PUNCT
cana-6006	368	76	133x	133x	NUM
cana-6006	368	77	vol	vol	VERB
cana-6006	368	78	32	32	NUM
cana-6006	368	79	no	no	NOUN
cana-6006	368	80	.	.	PUNCT
cana-6006	369	1	10s	10	NOUN
cana-6006	369	2	(	(	PUNCT
cana-6006	369	3	2025	2025	NUM
cana-6006	369	4	)	)	PUNCT
cana-6006	369	5	3219	3219	NUM
cana-6006	369	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6006	369	7	fig	fig	NOUN
cana-6006	369	8	.	.	PUNCT
cana-6006	370	1	12	12	NUM
cana-6006	370	2	:	:	PUNCT
cana-6006	370	3	graphical	graphical	ADJ
cana-6006	370	4	representation	representation	NOUN
cana-6006	370	5	of	of	ADP
cana-6006	370	6	auc	auc	NOUN
cana-6006	370	7	-	-	PUNCT
cana-6006	370	8	roc	roc	NOUN
cana-6006	370	9	(	(	PUNCT
cana-6006	370	10	%	%	INTJ
cana-6006	370	11	)	)	PUNCT
cana-6006	370	12	comparison	comparison	NOUN
cana-6006	370	13	across	across	ADP
cana-6006	370	14	different	different	ADJ
cana-6006	370	15	models	model	NOUN
cana-6006	370	16	.	.	PUNCT
cana-6006	371	1	vgg16	vgg16	NOUN
cana-6006	371	2	got	get	VERB
cana-6006	371	3	the	the	DET
cana-6006	371	4	least	least	ADJ
cana-6006	371	5	auc	auc	NOUN
cana-6006	371	6	score	score	NOUN
cana-6006	371	7	of	of	ADP
cana-6006	371	8	90.2	90.2	NUM
cana-6006	371	9	%	%	NOUN
cana-6006	371	10	,	,	PUNCT
cana-6006	371	11	resnet-50	resnet-50	PROPN
cana-6006	371	12	improved	improve	VERB
cana-6006	371	13	to	to	ADP
cana-6006	371	14	93.1	93.1	NUM
cana-6006	371	15	%	%	NOUN
cana-6006	371	16	because	because	SCONJ
cana-6006	371	17	of	of	ADP
cana-6006	371	18	residual	residual	ADJ
cana-6006	371	19	learning	learning	NOUN
cana-6006	371	20	.	.	PUNCT
cana-6006	372	1	adding	add	VERB
cana-6006	372	2	se	se	PROPN
cana-6006	372	3	blocks	block	NOUN
cana-6006	372	4	further	far	ADV
cana-6006	372	5	enhanced	enhance	VERB
cana-6006	372	6	the	the	DET
cana-6006	372	7	auc	auc	NOUN
cana-6006	372	8	to	to	ADP
cana-6006	372	9	94.7	94.7	NUM
cana-6006	372	10	%	%	NOUN
cana-6006	372	11	,	,	PUNCT
cana-6006	372	12	and	and	CCONJ
cana-6006	372	13	the	the	DET
cana-6006	372	14	proposed	propose	VERB
cana-6006	372	15	model	model	NOUN
cana-6006	372	16	achieved	achieve	VERB
cana-6006	372	17	the	the	DET
cana-6006	372	18	highest	high	ADJ
cana-6006	372	19	auc	auc	NOUN
cana-6006	372	20	of	of	ADP
cana-6006	372	21	95.4	95.4	NUM
cana-6006	372	22	%	%	NOUN
cana-6006	372	23	,	,	PUNCT
cana-6006	372	24	indicating	indicate	VERB
cana-6006	372	25	superior	superior	ADJ
cana-6006	372	26	discrimination	discrimination	NOUN
cana-6006	372	27	ability	ability	NOUN
cana-6006	372	28	fig	fig	NOUN
cana-6006	372	29	.	.	PUNCT
cana-6006	373	1	13	13	NUM
cana-6006	373	2	:	:	PUNCT
cana-6006	373	3	auc	auc	NOUN
cana-6006	373	4	-	-	PUNCT
cana-6006	373	5	roc	roc	NOUN
cana-6006	373	6	(	(	PUNCT
cana-6006	373	7	%	%	INTJ
cana-6006	373	8	)	)	PUNCT
cana-6006	373	9	in	in	ADP
cana-6006	373	10	figure	figure	NOUN
cana-6006	373	11	13	13	NUM
cana-6006	373	12	the	the	DET
cana-6006	373	13	roc	roc	PROPN
cana-6006	373	14	curve	curve	NOUN
cana-6006	373	15	,	,	PUNCT
cana-6006	373	16	demonstrates	demonstrate	VERB
cana-6006	373	17	the	the	DET
cana-6006	373	18	performance	performance	NOUN
cana-6006	373	19	of	of	ADP
cana-6006	373	20	the	the	DET
cana-6006	373	21	proposed	propose	VERB
cana-6006	373	22	model	model	NOUN
cana-6006	373	23	with	with	ADP
cana-6006	373	24	an	an	DET
cana-6006	373	25	auc	auc	ADJ
cana-6006	373	26	value	value	NOUN
cana-6006	373	27	of	of	ADP
cana-6006	373	28	0.954	0.954	NUM
cana-6006	373	29	.	.	PUNCT
cana-6006	374	1	the	the	DET
cana-6006	374	2	curve	curve	NOUN
cana-6006	374	3	lies	lie	VERB
cana-6006	374	4	close	close	ADV
cana-6006	374	5	to	to	ADP
cana-6006	374	6	the	the	DET
cana-6006	374	7	top	top	ADV
cana-6006	374	8	-	-	PUNCT
cana-6006	374	9	left	left	ADJ
cana-6006	374	10	corner	corner	NOUN
cana-6006	374	11	,	,	PUNCT
cana-6006	374	12	reflecting	reflect	VERB
cana-6006	374	13	a	a	DET
cana-6006	374	14	high	high	ADJ
cana-6006	374	15	true	true	ADJ
cana-6006	374	16	positive	positive	ADJ
cana-6006	374	17	rate	rate	NOUN
cana-6006	374	18	and	and	CCONJ
cana-6006	374	19	low	low	ADJ
cana-6006	374	20	false	false	ADJ
cana-6006	374	21	positive	positive	ADJ
cana-6006	374	22	rate	rate	NOUN
cana-6006	374	23	.	.	PUNCT
cana-6006	375	1	together	together	ADV
cana-6006	375	2	,	,	PUNCT
cana-6006	375	3	these	these	DET
cana-6006	375	4	results	result	NOUN
cana-6006	375	5	confirm	confirm	VERB
cana-6006	375	6	that	that	SCONJ
cana-6006	375	7	the	the	DET
cana-6006	375	8	proposed	propose	VERB
cana-6006	375	9	model	model	NOUN
cana-6006	375	10	outperforms	outperform	VERB
cana-6006	375	11	others	other	NOUN
cana-6006	375	12	in	in	ADP
cana-6006	375	13	distinguishing	distinguish	VERB
cana-6006	375	14	between	between	ADP
cana-6006	375	15	classes	class	NOUN
cana-6006	375	16	with	with	ADP
cana-6006	375	17	higher	high	ADJ
cana-6006	375	18	reliability	reliability	NOUN
cana-6006	375	19	.	.	PUNCT
cana-6006	376	1	the	the	DET
cana-6006	376	2	auc	auc	NOUN
cana-6006	376	3	-	-	PUNCT
cana-6006	376	4	roc	roc	NOUN
cana-6006	376	5	scores	score	NOUN
cana-6006	376	6	of	of	ADP
cana-6006	376	7	the	the	DET
cana-6006	376	8	various	various	ADJ
cana-6006	376	9	models	model	NOUN
cana-6006	376	10	used	use	VERB
cana-6006	376	11	for	for	ADP
cana-6006	376	12	brain	brain	NOUN
cana-6006	376	13	hemorrhage	hemorrhage	NOUN
cana-6006	376	14	classification	classification	NOUN
cana-6006	376	15	are	be	AUX
cana-6006	376	16	shown	show	VERB
cana-6006	376	17	in	in	ADP
cana-6006	376	18	figure	figure	NOUN
cana-6006	376	19	4	4	NUM
cana-6006	376	20	.	.	PUNCT
cana-6006	377	1	the	the	DET
cana-6006	377	2	modified	modify	VERB
cana-6006	377	3	resnet-50	resnet-50	PROPN
cana-6006	377	4	with	with	ADP
cana-6006	377	5	squeeze	squeeze	NOUN
cana-6006	377	6	and	and	CCONJ
cana-6006	377	7	excitation	excitation	NOUN
cana-6006	377	8	blocks	block	NOUN
cana-6006	377	9	and	and	CCONJ
cana-6006	377	10	u	u	NOUN
cana-6006	377	11	-	-	ADJ
cana-6006	377	12	net	net	ADJ
cana-6006	377	13	pre	pre	ADJ
cana-6006	377	14	-	-	ADJ
cana-6006	377	15	processing	processing	NOUN
cana-6006	377	16	has	have	VERB
cana-6006	377	17	the	the	DET
cana-6006	377	18	highest	high	ADJ
cana-6006	377	19	auc	auc	NOUN
cana-6006	377	20	(	(	PUNCT
cana-6006	377	21	95.4	95.4	NUM
cana-6006	377	22	%	%	NOUN
cana-6006	377	23	)	)	PUNCT
cana-6006	377	24	,	,	PUNCT
cana-6006	377	25	demonstrating	demonstrate	VERB
cana-6006	377	26	a	a	DET
cana-6006	377	27	greater	great	ADJ
cana-6006	377	28	90.2	90.2	NUM
cana-6006	377	29	93.1	93.1	NUM
cana-6006	377	30	94.7	94.7	NUM
cana-6006	377	31	95.4	95.4	NUM
cana-6006	377	32	87	87	NUM
cana-6006	377	33	88	88	NUM
cana-6006	377	34	89	89	NUM
cana-6006	377	35	90	90	NUM
cana-6006	377	36	91	91	NUM
cana-6006	377	37	92	92	NUM
cana-6006	377	38	93	93	NUM
cana-6006	377	39	94	94	NUM
cana-6006	377	40	95	95	NUM
cana-6006	377	41	96	96	NUM
cana-6006	377	42	vgg16	vgg16	PROPN
cana-6006	377	43	resnet-50	resnet-50	PROPN
cana-6006	377	44	resnet-50	resnet-50	PROPN
cana-6006	377	45	+	+	CCONJ
cana-6006	377	46	se	se	PROPN
cana-6006	377	47	proposed	propose	VERB
cana-6006	377	48	model	model	NOUN
cana-6006	377	49	a	a	DET
cana-6006	377	50	u	u	NOUN
cana-6006	377	51	c	c	NOUN
cana-6006	377	52	-r	-r	NOUN
cana-6006	377	53	o	o	NOUN
cana-6006	377	54	c	c	PROPN
cana-6006	377	55	(	(	PUNCT
cana-6006	377	56	%	%	NOUN
cana-6006	377	57	)	)	PUNCT
cana-6006	377	58	models	model	VERB
cana-6006	377	59	auc	auc	NOUN
cana-6006	377	60	-	-	PUNCT
cana-6006	377	61	roc	roc	NOUN
cana-6006	377	62	(	(	PUNCT
cana-6006	377	63	%	%	INTJ
cana-6006	377	64	)	)	PUNCT
cana-6006	377	65	communications	communication	NOUN
cana-6006	377	66	on	on	ADP
cana-6006	377	67	applied	apply	VERB
cana-6006	377	68	nonlinear	nonlinear	ADJ
cana-6006	377	69	analysis	analysis	NOUN
cana-6006	377	70	issn	issn	NOUN
cana-6006	377	71	:	:	PUNCT
cana-6006	377	72	1074	1074	NUM
cana-6006	377	73	-	-	PUNCT
cana-6006	377	74	133x	133x	NUM
cana-6006	377	75	vol	vol	VERB
cana-6006	377	76	32	32	NUM
cana-6006	377	77	no	no	NOUN
cana-6006	377	78	.	.	PUNCT
cana-6006	378	1	10s	10	NOUN
cana-6006	378	2	(	(	PUNCT
cana-6006	378	3	2025	2025	NUM
cana-6006	378	4	)	)	PUNCT
cana-6006	378	5	3220	3220	NUM
cana-6006	378	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6006	378	7	ability	ability	NOUN
cana-6006	378	8	to	to	PART
cana-6006	378	9	discriminate	discriminate	VERB
cana-6006	378	10	between	between	ADP
cana-6006	378	11	classes	class	NOUN
cana-6006	378	12	.	.	PUNCT
cana-6006	379	1	it	it	PRON
cana-6006	379	2	is	be	AUX
cana-6006	379	3	markedly	markedly	ADV
cana-6006	379	4	better	well	ADJ
cana-6006	379	5	than	than	ADP
cana-6006	379	6	traditional	traditional	ADJ
cana-6006	379	7	architectures	architecture	NOUN
cana-6006	379	8	,	,	PUNCT
cana-6006	379	9	with	with	ADP
cana-6006	379	10	improved	improved	ADJ
cana-6006	379	11	sensitivity	sensitivity	NOUN
cana-6006	379	12	and	and	CCONJ
cana-6006	379	13	robustness	robustness	NOUN
cana-6006	379	14	across	across	ADP
cana-6006	379	15	all	all	DET
cana-6006	379	16	phases	phase	NOUN
cana-6006	379	17	of	of	ADP
cana-6006	379	18	classification	classification	NOUN
cana-6006	379	19	within	within	ADP
cana-6006	379	20	medical	medical	ADJ
cana-6006	379	21	imaging	imaging	NOUN
cana-6006	379	22	applications	application	NOUN
cana-6006	379	23	.	.	PUNCT
cana-6006	380	1	table	table	NOUN
cana-6006	380	2	5	5	NUM
cana-6006	380	3	shows	show	VERB
cana-6006	380	4	subtype	subtype	NOUN
cana-6006	380	5	classification	classification	NOUN
cana-6006	380	6	rates	rate	NOUN
cana-6006	380	7	from	from	ADP
cana-6006	380	8	the	the	DET
cana-6006	380	9	original	original	ADJ
cana-6006	380	10	five	five	NUM
cana-6006	380	11	types	type	NOUN
cana-6006	380	12	of	of	ADP
cana-6006	380	13	basic	basic	ADJ
cana-6006	380	14	brain	brain	NOUN
cana-6006	380	15	hemorrhages	hemorrhage	NOUN
cana-6006	380	16	through	through	ADP
cana-6006	380	17	three	three	NUM
cana-6006	380	18	different	different	ADJ
cana-6006	380	19	deep	deep	ADJ
cana-6006	380	20	learning	learning	NOUN
cana-6006	380	21	models	model	NOUN
cana-6006	380	22	.	.	PUNCT
cana-6006	381	1	vgg16	vgg16	NOUN
cana-6006	381	2	is	be	AUX
cana-6006	381	3	the	the	DET
cana-6006	381	4	least	least	ADJ
cana-6006	381	5	performing	perform	VERB
cana-6006	381	6	model	model	NOUN
cana-6006	381	7	of	of	ADP
cana-6006	381	8	the	the	DET
cana-6006	381	9	seven	seven	NUM
cana-6006	381	10	extracted	extract	VERB
cana-6006	381	11	rates	rate	NOUN
cana-6006	381	12	.	.	PUNCT
cana-6006	382	1	resnet-50	resnet-50	NOUN
cana-6006	382	2	performs	perform	VERB
cana-6006	382	3	slightly	slightly	ADV
cana-6006	382	4	better	well	ADV
cana-6006	382	5	on	on	ADP
cana-6006	382	6	similar	similar	ADJ
cana-6006	382	7	subtype	subtype	NOUN
cana-6006	382	8	rates	rate	NOUN
cana-6006	382	9	.	.	PUNCT
cana-6006	383	1	the	the	DET
cana-6006	383	2	modified	modify	VERB
cana-6006	383	3	resnet-50	resnet-50	PROPN
cana-6006	383	4	model	model	NOUN
cana-6006	383	5	that	that	PRON
cana-6006	383	6	used	use	VERB
cana-6006	383	7	se	se	PROPN
cana-6006	383	8	blocks	block	NOUN
cana-6006	383	9	in	in	ADP
cana-6006	383	10	conjunction	conjunction	NOUN
cana-6006	383	11	with	with	ADP
cana-6006	383	12	u	u	ADJ
cana-6006	383	13	-	-	ADJ
cana-6006	383	14	net	net	ADJ
cana-6006	383	15	preprocessing	preprocessing	NOUN
cana-6006	383	16	(	(	PUNCT
cana-6006	383	17	fully	fully	ADV
cana-6006	383	18	convolutional	convolutional	ADJ
cana-6006	383	19	)	)	PUNCT
cana-6006	383	20	performed	perform	VERB
cana-6006	383	21	consistently	consistently	ADV
cana-6006	383	22	better	well	ADV
cana-6006	383	23	than	than	ADP
cana-6006	383	24	resnet-50	resnet-50	PROPN
cana-6006	383	25	,	,	PUNCT
cana-6006	383	26	achieving	achieve	VERB
cana-6006	383	27	the	the	DET
cana-6006	383	28	highest	high	ADJ
cana-6006	383	29	percentage	percentage	NOUN
cana-6006	383	30	rates	rate	NOUN
cana-6006	383	31	for	for	ADP
cana-6006	383	32	both	both	CCONJ
cana-6006	383	33	intraparenchymal	intraparenchymal	ADJ
cana-6006	383	34	(	(	PUNCT
cana-6006	383	35	93.2	93.2	NUM
cana-6006	383	36	%	%	NOUN
cana-6006	383	37	)	)	PUNCT
cana-6006	383	38	and	and	CCONJ
cana-6006	383	39	subdural	subdural	ADJ
cana-6006	383	40	(	(	PUNCT
cana-6006	383	41	92.4	92.4	NUM
cana-6006	383	42	%	%	NOUN
cana-6006	383	43	)	)	PUNCT
cana-6006	383	44	comparisons	comparison	NOUN
cana-6006	383	45	.	.	PUNCT
cana-6006	384	1	these	these	DET
cana-6006	384	2	results	result	NOUN
cana-6006	384	3	indicate	indicate	VERB
cana-6006	384	4	the	the	DET
cana-6006	384	5	robustness	robustness	NOUN
cana-6006	384	6	and	and	CCONJ
cana-6006	384	7	specific	specific	ADJ
cana-6006	384	8	measurement	measurement	NOUN
cana-6006	384	9	of	of	ADP
cana-6006	384	10	the	the	DET
cana-6006	384	11	model	model	NOUN
cana-6006	384	12	across	across	ADP
cana-6006	384	13	the	the	DET
cana-6006	384	14	various	various	ADJ
cana-6006	384	15	types	type	NOUN
cana-6006	384	16	of	of	ADP
cana-6006	384	17	subtypes	subtype	NOUN
cana-6006	384	18	of	of	ADP
cana-6006	384	19	brain	brain	NOUN
cana-6006	384	20	hemorrhage	hemorrhage	NOUN
cana-6006	384	21	,	,	PUNCT
cana-6006	384	22	making	make	VERB
cana-6006	384	23	it	it	PRON
cana-6006	384	24	a	a	DET
cana-6006	384	25	valid	valid	ADJ
cana-6006	384	26	option	option	NOUN
cana-6006	384	27	for	for	ADP
cana-6006	384	28	clinical	clinical	ADJ
cana-6006	384	29	decision	decision	NOUN
cana-6006	384	30	support	support	NOUN
cana-6006	384	31	applications	application	NOUN
cana-6006	384	32	in	in	ADP
cana-6006	384	33	neuroimaging	neuroimaging	NOUN
cana-6006	384	34	.	.	PUNCT
cana-6006	385	1	table	table	NOUN
cana-6006	385	2	5	5	NUM
cana-6006	385	3	:	:	PUNCT
cana-6006	385	4	confusion	confusion	NOUN
cana-6006	385	5	matrix	matrix	NOUN
cana-6006	385	6	details	detail	NOUN
cana-6006	385	7	actual	actual	ADJ
cana-6006	385	8	/	/	PUNCT
cana-6006	385	9	predicted	predict	VERB
cana-6006	385	10	hemorrhage	hemorrhage	NOUN
cana-6006	385	11	normal	normal	ADJ
cana-6006	385	12	total	total	ADJ
cana-6006	385	13	hemorrhage	hemorrhage	NOUN
cana-6006	385	14	3204	3204	NUM
cana-6006	385	15	(	(	PUNCT
cana-6006	385	16	tp	tp	NOUN
cana-6006	385	17	)	)	PUNCT
cana-6006	385	18	244	244	NUM
cana-6006	385	19	(	(	PUNCT
cana-6006	385	20	fn	fn	NOUN
cana-6006	385	21	)	)	PUNCT
cana-6006	385	22	3448	3448	NUM
cana-6006	385	23	normal	normal	ADJ
cana-6006	385	24	233	233	NUM
cana-6006	385	25	(	(	PUNCT
cana-6006	385	26	fp	fp	NOUN
cana-6006	385	27	)	)	PUNCT
cana-6006	385	28	3319	3319	NUM
cana-6006	385	29	(	(	PUNCT
cana-6006	385	30	tn	tn	NOUN
cana-6006	385	31	)	)	PUNCT
cana-6006	385	32	3552	3552	NUM
cana-6006	385	33	total	total	ADJ
cana-6006	385	34	3437	3437	NUM
cana-6006	385	35	3563	3563	NUM
cana-6006	385	36	7000	7000	NUM
cana-6006	385	37	table	table	NOUN
cana-6006	385	38	5	5	NUM
cana-6006	385	39	,	,	PUNCT
cana-6006	385	40	shows	show	VERB
cana-6006	385	41	the	the	DET
cana-6006	385	42	confusion	confusion	NOUN
cana-6006	385	43	matrix	matrix	NOUN
cana-6006	385	44	obtained	obtain	VERB
cana-6006	385	45	for	for	ADP
cana-6006	385	46	the	the	DET
cana-6006	385	47	proposed	propose	VERB
cana-6006	385	48	binary	binary	PROPN
cana-6006	385	49	classification	classification	NOUN
cana-6006	385	50	model	model	NOUN
cana-6006	385	51	,	,	PUNCT
cana-6006	385	52	where	where	SCONJ
cana-6006	385	53	the	the	DET
cana-6006	385	54	two	two	NUM
cana-6006	385	55	classes	class	NOUN
cana-6006	385	56	are	be	AUX
cana-6006	385	57	hemorrhage	hemorrhage	NOUN
cana-6006	385	58	and	and	CCONJ
cana-6006	385	59	normal	normal	ADJ
cana-6006	385	60	.	.	PUNCT
cana-6006	386	1	in	in	ADP
cana-6006	386	2	a	a	DET
cana-6006	386	3	confusion	confusion	NOUN
cana-6006	386	4	matrix	matrix	NOUN
cana-6006	386	5	,	,	PUNCT
cana-6006	386	6	the	the	DET
cana-6006	386	7	diagonal	diagonal	ADJ
cana-6006	386	8	elements	element	NOUN
cana-6006	386	9	correspond	correspond	VERB
cana-6006	386	10	to	to	ADP
cana-6006	386	11	samples	sample	NOUN
cana-6006	386	12	that	that	PRON
cana-6006	386	13	have	have	AUX
cana-6006	386	14	been	be	AUX
cana-6006	386	15	correctly	correctly	ADV
cana-6006	386	16	classified	classified	ADJ
cana-6006	386	17	,	,	PUNCT
cana-6006	386	18	whereas	whereas	SCONJ
cana-6006	386	19	the	the	DET
cana-6006	386	20	off	off	ADV
cana-6006	386	21	-	-	PUNCT
cana-6006	386	22	diagonal	diagonal	ADJ
cana-6006	386	23	elements	element	NOUN
cana-6006	386	24	represent	represent	VERB
cana-6006	386	25	instances	instance	NOUN
cana-6006	386	26	where	where	SCONJ
cana-6006	386	27	misclassifications	misclassification	NOUN
cana-6006	386	28	have	have	AUX
cana-6006	386	29	occurred	occur	VERB
cana-6006	386	30	.	.	PUNCT
cana-6006	387	1	as	as	SCONJ
cana-6006	387	2	shown	show	VERB
cana-6006	387	3	,	,	PUNCT
cana-6006	387	4	the	the	DET
cana-6006	387	5	model	model	NOUN
cana-6006	387	6	correctly	correctly	ADV
cana-6006	387	7	identified	identify	VERB
cana-6006	387	8	3204	3204	NUM
cana-6006	387	9	hemorrhage	hemorrhage	NOUN
cana-6006	387	10	cases	case	NOUN
cana-6006	387	11	(	(	PUNCT
cana-6006	387	12	true	true	ADJ
cana-6006	387	13	positives	positive	NOUN
cana-6006	387	14	)	)	PUNCT
cana-6006	387	15	and	and	CCONJ
cana-6006	387	16	3319	3319	NUM
cana-6006	387	17	normal	normal	ADJ
cana-6006	387	18	cases	case	NOUN
cana-6006	387	19	(	(	PUNCT
cana-6006	387	20	true	true	ADJ
cana-6006	387	21	negatives	negative	NOUN
cana-6006	387	22	)	)	PUNCT
cana-6006	387	23	.	.	PUNCT
cana-6006	388	1	there	there	PRON
cana-6006	388	2	were	be	VERB
cana-6006	388	3	244	244	NUM
cana-6006	388	4	hemorrhage	hemorrhage	NOUN
cana-6006	388	5	cases	case	NOUN
cana-6006	388	6	incorrectly	incorrectly	ADV
cana-6006	388	7	classified	classify	VERB
cana-6006	388	8	as	as	ADP
cana-6006	388	9	normal	normal	ADJ
cana-6006	388	10	(	(	PUNCT
cana-6006	388	11	false	false	ADJ
cana-6006	388	12	negatives	negative	NOUN
cana-6006	388	13	)	)	PUNCT
cana-6006	388	14	and	and	CCONJ
cana-6006	388	15	233	233	NUM
cana-6006	388	16	normal	normal	ADJ
cana-6006	388	17	cases	case	NOUN
cana-6006	388	18	incorrectly	incorrectly	ADV
cana-6006	388	19	classified	classify	VERB
cana-6006	388	20	as	as	ADP
cana-6006	388	21	hemorrhage	hemorrhage	NOUN
cana-6006	388	22	(	(	PUNCT
cana-6006	388	23	false	false	ADJ
cana-6006	388	24	positives	positive	NOUN
cana-6006	388	25	)	)	PUNCT
cana-6006	388	26	.	.	PUNCT
cana-6006	389	1	from	from	ADP
cana-6006	389	2	these	these	DET
cana-6006	389	3	results	result	NOUN
cana-6006	389	4	,	,	PUNCT
cana-6006	389	5	the	the	DET
cana-6006	389	6	model	model	NOUN
cana-6006	389	7	achieved	achieve	VERB
cana-6006	389	8	a	a	DET
cana-6006	389	9	precision	precision	NOUN
cana-6006	389	10	of	of	ADP
cana-6006	389	11	93.2	93.2	NUM
cana-6006	389	12	%	%	NOUN
cana-6006	389	13	,	,	PUNCT
cana-6006	389	14	meaning	mean	VERB
cana-6006	389	15	that	that	SCONJ
cana-6006	389	16	when	when	SCONJ
cana-6006	389	17	it	it	PRON
cana-6006	389	18	predicted	predict	VERB
cana-6006	389	19	a	a	DET
cana-6006	389	20	hemorrhage	hemorrhage	NOUN
cana-6006	389	21	,	,	PUNCT
cana-6006	389	22	it	it	PRON
cana-6006	389	23	was	be	AUX
cana-6006	389	24	correct	correct	ADJ
cana-6006	389	25	in	in	ADP
cana-6006	389	26	93.2	93.2	NUM
cana-6006	389	27	%	%	NOUN
cana-6006	389	28	of	of	ADP
cana-6006	389	29	the	the	DET
cana-6006	389	30	cases	case	NOUN
cana-6006	389	31	.	.	PUNCT
cana-6006	390	1	the	the	DET
cana-6006	390	2	recall	recall	NOUN
cana-6006	390	3	of	of	ADP
cana-6006	390	4	92.9	92.9	NUM
cana-6006	390	5	%	%	NOUN
cana-6006	390	6	indicates	indicate	VERB
cana-6006	390	7	that	that	SCONJ
cana-6006	390	8	the	the	DET
cana-6006	390	9	model	model	NOUN
cana-6006	390	10	was	be	AUX
cana-6006	390	11	able	able	ADJ
cana-6006	390	12	to	to	PART
cana-6006	390	13	detect	detect	VERB
cana-6006	390	14	92.9	92.9	NUM
cana-6006	390	15	%	%	NOUN
cana-6006	390	16	of	of	ADP
cana-6006	390	17	all	all	DET
cana-6006	390	18	actual	actual	ADJ
cana-6006	390	19	hemorrhage	hemorrhage	NOUN
cana-6006	390	20	cases	case	NOUN
cana-6006	390	21	.	.	PUNCT
cana-6006	391	1	the	the	DET
cana-6006	391	2	overall	overall	ADJ
cana-6006	391	3	accuracy	accuracy	NOUN
cana-6006	391	4	was	be	AUX
cana-6006	391	5	94.6	94.6	NUM
cana-6006	391	6	%	%	NOUN
cana-6006	391	7	,	,	PUNCT
cana-6006	391	8	and	and	CCONJ
cana-6006	391	9	the	the	DET
cana-6006	391	10	f1	f1	NOUN
cana-6006	391	11	-	-	PUNCT
cana-6006	391	12	score	score	NOUN
cana-6006	391	13	was	be	AUX
cana-6006	391	14	93.0	93.0	NUM
cana-6006	391	15	%	%	NOUN
cana-6006	391	16	,	,	PUNCT
cana-6006	391	17	which	which	PRON
cana-6006	391	18	reflects	reflect	VERB
cana-6006	391	19	a	a	DET
cana-6006	391	20	balanced	balanced	ADJ
cana-6006	391	21	performance	performance	NOUN
cana-6006	391	22	between	between	ADP
cana-6006	391	23	precision	precision	NOUN
cana-6006	391	24	and	and	CCONJ
cana-6006	391	25	recall	recall	NOUN
cana-6006	391	26	.	.	PUNCT
cana-6006	392	1	communications	communication	NOUN
cana-6006	392	2	on	on	ADP
cana-6006	392	3	applied	apply	VERB
cana-6006	392	4	nonlinear	nonlinear	ADJ
cana-6006	392	5	analysis	analysis	NOUN
cana-6006	392	6	issn	issn	NOUN
cana-6006	392	7	:	:	PUNCT
cana-6006	392	8	1074	1074	NUM
cana-6006	392	9	-	-	PUNCT
cana-6006	392	10	133x	133x	NUM
cana-6006	392	11	vol	vol	VERB
cana-6006	392	12	32	32	NUM
cana-6006	392	13	no	no	NOUN
cana-6006	392	14	.	.	PUNCT
cana-6006	393	1	10s	10	NOUN
cana-6006	393	2	(	(	PUNCT
cana-6006	393	3	2025	2025	NUM
cana-6006	393	4	)	)	PUNCT
cana-6006	393	5	3221	3221	NUM
cana-6006	393	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6006	393	7	fig	fig	NOUN
cana-6006	393	8	.	.	PUNCT
cana-6006	394	1	14	14	NUM
cana-6006	394	2	:	:	PUNCT
cana-6006	394	3	confusion	confusion	NOUN
cana-6006	394	4	matrix	matrix	NOUN
cana-6006	394	5	the	the	DET
cana-6006	394	6	confusion	confusion	NOUN
cana-6006	394	7	matrix	matrix	NOUN
cana-6006	394	8	in	in	ADP
cana-6006	394	9	figure	figure	NOUN
cana-6006	394	10	14	14	NUM
cana-6006	394	11	evaluates	evaluate	VERB
cana-6006	394	12	the	the	DET
cana-6006	394	13	performance	performance	NOUN
cana-6006	394	14	of	of	ADP
cana-6006	394	15	the	the	DET
cana-6006	394	16	proposed	propose	VERB
cana-6006	394	17	deep	deep	ADJ
cana-6006	394	18	learning	learning	NOUN
cana-6006	394	19	model	model	NOUN
cana-6006	394	20	for	for	ADP
cana-6006	394	21	brain	brain	NOUN
cana-6006	394	22	hemorrhage	hemorrhage	NOUN
cana-6006	394	23	detection	detection	NOUN
cana-6006	394	24	by	by	ADP
cana-6006	394	25	comparing	compare	VERB
cana-6006	394	26	actual	actual	ADJ
cana-6006	394	27	and	and	CCONJ
cana-6006	394	28	predicted	predict	VERB
cana-6006	394	29	labels	label	NOUN
cana-6006	394	30	.	.	PUNCT
cana-6006	395	1	the	the	DET
cana-6006	395	2	diagonal	diagonal	ADJ
cana-6006	395	3	entries	entry	NOUN
cana-6006	395	4	show	show	VERB
cana-6006	395	5	correctly	correctly	ADV
cana-6006	395	6	classified	classified	ADJ
cana-6006	395	7	cases	case	NOUN
cana-6006	395	8	,	,	PUNCT
cana-6006	395	9	reflecting	reflect	VERB
cana-6006	395	10	high	high	ADJ
cana-6006	395	11	accuracy	accuracy	NOUN
cana-6006	395	12	and	and	CCONJ
cana-6006	395	13	strong	strong	ADJ
cana-6006	395	14	distinction	distinction	NOUN
cana-6006	395	15	between	between	ADP
cana-6006	395	16	hemorrhagic	hemorrhagic	NOUN
cana-6006	395	17	and	and	CCONJ
cana-6006	395	18	non	non	ADJ
cana-6006	395	19	-	-	ADJ
cana-6006	395	20	hemorrhagic	hemorrhagic	ADJ
cana-6006	395	21	scans	scan	NOUN
cana-6006	395	22	.	.	PUNCT
cana-6006	396	1	off	off	ADP
cana-6006	396	2	-	-	PUNCT
cana-6006	396	3	diagonal	diagonal	ADJ
cana-6006	396	4	values	value	NOUN
cana-6006	396	5	represent	represent	VERB
cana-6006	396	6	misclassifications	misclassification	NOUN
cana-6006	396	7	,	,	PUNCT
cana-6006	396	8	highlighting	highlight	VERB
cana-6006	396	9	false	false	ADJ
cana-6006	396	10	positives	positive	NOUN
cana-6006	396	11	and	and	CCONJ
cana-6006	396	12	false	false	ADJ
cana-6006	396	13	negatives	negative	NOUN
cana-6006	396	14	,	,	PUNCT
cana-6006	396	15	with	with	ADP
cana-6006	396	16	the	the	DET
cana-6006	396	17	latter	latter	ADJ
cana-6006	396	18	being	be	AUX
cana-6006	396	19	more	more	ADV
cana-6006	396	20	critical	critical	ADJ
cana-6006	396	21	in	in	ADP
cana-6006	396	22	medical	medical	ADJ
cana-6006	396	23	contexts	contexts	NOUN
cana-6006	396	24	.	.	PUNCT
cana-6006	397	1	the	the	DET
cana-6006	397	2	matrix	matrix	NOUN
cana-6006	397	3	demonstrates	demonstrate	VERB
cana-6006	397	4	that	that	SCONJ
cana-6006	397	5	the	the	DET
cana-6006	397	6	model	model	NOUN
cana-6006	397	7	achieves	achieve	VERB
cana-6006	397	8	a	a	DET
cana-6006	397	9	high	high	ADJ
cana-6006	397	10	number	number	NOUN
cana-6006	397	11	of	of	ADP
cana-6006	397	12	correct	correct	ADJ
cana-6006	397	13	classifications	classification	NOUN
cana-6006	397	14	with	with	ADP
cana-6006	397	15	very	very	ADV
cana-6006	397	16	few	few	ADJ
cana-6006	397	17	errors	error	NOUN
cana-6006	397	18	.	.	PUNCT
cana-6006	398	1	these	these	DET
cana-6006	398	2	findings	finding	NOUN
cana-6006	398	3	align	align	VERB
cana-6006	398	4	with	with	ADP
cana-6006	398	5	other	other	ADJ
cana-6006	398	6	performance	performance	NOUN
cana-6006	398	7	metrics	metric	NOUN
cana-6006	398	8	like	like	ADP
cana-6006	398	9	accuracy	accuracy	NOUN
cana-6006	398	10	,	,	PUNCT
cana-6006	398	11	precision	precision	NOUN
cana-6006	398	12	,	,	PUNCT
cana-6006	398	13	recall	recall	NOUN
cana-6006	398	14	,	,	PUNCT
cana-6006	398	15	and	and	CCONJ
cana-6006	398	16	f1	f1	NOUN
cana-6006	398	17	-	-	PUNCT
cana-6006	398	18	score	score	NOUN
cana-6006	398	19	.	.	PUNCT
cana-6006	399	1	overall	overall	ADV
cana-6006	399	2	,	,	PUNCT
cana-6006	399	3	the	the	DET
cana-6006	399	4	confusion	confusion	NOUN
cana-6006	399	5	matrix	matrix	NOUN
cana-6006	399	6	validates	validate	VERB
cana-6006	399	7	the	the	DET
cana-6006	399	8	model	model	NOUN
cana-6006	399	9	’s	’s	PART
cana-6006	399	10	robustness	robustness	NOUN
cana-6006	399	11	,	,	PUNCT
cana-6006	399	12	reliability	reliability	NOUN
cana-6006	399	13	,	,	PUNCT
cana-6006	399	14	and	and	CCONJ
cana-6006	399	15	clinical	clinical	ADJ
cana-6006	399	16	applicability	applicability	NOUN
cana-6006	399	17	in	in	ADP
cana-6006	399	18	reducing	reduce	VERB
cana-6006	399	19	diagnostic	diagnostic	ADJ
cana-6006	399	20	errors	error	NOUN
cana-6006	399	21	.	.	PUNCT
cana-6006	400	1	9	9	X
cana-6006	400	2	.	.	X
cana-6006	400	3	discussions	discussion	NOUN
cana-6006	400	4	this	this	DET
cana-6006	400	5	work	work	NOUN
cana-6006	400	6	introduces	introduce	VERB
cana-6006	400	7	a	a	DET
cana-6006	400	8	strong	strong	ADJ
cana-6006	400	9	and	and	CCONJ
cana-6006	400	10	effective	effective	ADJ
cana-6006	400	11	deep	deep	ADJ
cana-6006	400	12	learning	learning	NOUN
cana-6006	400	13	-	-	PUNCT
cana-6006	400	14	based	base	VERB
cana-6006	400	15	system	system	NOUN
cana-6006	400	16	for	for	ADP
cana-6006	400	17	automated	automate	VERB
cana-6006	400	18	classification	classification	NOUN
cana-6006	400	19	of	of	ADP
cana-6006	400	20	brain	brain	NOUN
cana-6006	400	21	hemorrhage	hemorrhage	NOUN
cana-6006	400	22	based	base	VERB
cana-6006	400	23	on	on	ADP
cana-6006	400	24	computed	compute	VERB
cana-6006	400	25	tomography	tomography	NOUN
cana-6006	400	26	(	(	PUNCT
cana-6006	400	27	mri	mri	NOUN
cana-6006	400	28	)	)	PUNCT
cana-6006	400	29	scans	scan	NOUN
cana-6006	400	30	.	.	PUNCT
cana-6006	401	1	the	the	DET
cana-6006	401	2	major	major	ADJ
cana-6006	401	3	findings	finding	NOUN
cana-6006	401	4	illustrate	illustrate	VERB
cana-6006	401	5	that	that	SCONJ
cana-6006	401	6	the	the	DET
cana-6006	401	7	new	new	ADJ
cana-6006	401	8	modified	modify	VERB
cana-6006	401	9	resnet-50	resnet-50	PROPN
cana-6006	401	10	model	model	NOUN
cana-6006	401	11	augmented	augment	VERB
cana-6006	401	12	with	with	ADP
cana-6006	401	13	squeeze	squeeze	NOUN
cana-6006	401	14	-	-	PUNCT
cana-6006	401	15	and	and	CCONJ
cana-6006	401	16	-	-	PUNCT
cana-6006	401	17	excitation	excitation	NOUN
cana-6006	401	18	(	(	PUNCT
cana-6006	401	19	se	se	ADJ
cana-6006	401	20	)	)	PUNCT
cana-6006	401	21	units	unit	NOUN
cana-6006	401	22	and	and	CCONJ
cana-6006	401	23	u	u	NOUN
cana-6006	401	24	-	-	ADJ
cana-6006	401	25	netbased	netbased	ADJ
cana-6006	401	26	preprocessing	preprocessing	NOUN
cana-6006	401	27	improves	improve	VERB
cana-6006	401	28	all	all	DET
cana-6006	401	29	the	the	DET
cana-6006	401	30	metrics	metric	NOUN
cana-6006	401	31	tested	test	VERB
cana-6006	401	32	,	,	PUNCT
cana-6006	401	33	such	such	ADJ
cana-6006	401	34	as	as	ADP
cana-6006	401	35	accuracy	accuracy	NOUN
cana-6006	401	36	(	(	PUNCT
cana-6006	401	37	94.6	94.6	NUM
cana-6006	401	38	%	%	NOUN
cana-6006	401	39	)	)	PUNCT
cana-6006	401	40	,	,	PUNCT
cana-6006	401	41	precision	precision	NOUN
cana-6006	401	42	(	(	PUNCT
cana-6006	401	43	93.2	93.2	NUM
cana-6006	401	44	%	%	NOUN
cana-6006	401	45	)	)	PUNCT
cana-6006	401	46	,	,	PUNCT
cana-6006	401	47	recall	recall	INTJ
cana-6006	401	48	(	(	PUNCT
cana-6006	401	49	92.9	92.9	NUM
cana-6006	401	50	%	%	NOUN
cana-6006	401	51	)	)	PUNCT
cana-6006	401	52	,	,	PUNCT
cana-6006	401	53	f1	f1	NOUN
cana-6006	401	54	-	-	PUNCT
cana-6006	401	55	score	score	NOUN
cana-6006	401	56	(	(	PUNCT
cana-6006	401	57	93.0	93.0	NUM
cana-6006	401	58	%	%	NOUN
cana-6006	401	59	)	)	PUNCT
cana-6006	401	60	,	,	PUNCT
cana-6006	401	61	and	and	CCONJ
cana-6006	401	62	auc	auc	NOUN
cana-6006	401	63	-	-	PUNCT
cana-6006	401	64	roc	roc	NOUN
cana-6006	401	65	(	(	PUNCT
cana-6006	401	66	95.4	95.4	NUM
cana-6006	401	67	%	%	NOUN
cana-6006	401	68	)	)	PUNCT
cana-6006	401	69	.	.	PUNCT
cana-6006	402	1	these	these	DET
cana-6006	402	2	findings	finding	NOUN
cana-6006	402	3	reveal	reveal	VERB
cana-6006	402	4	the	the	DET
cana-6006	402	5	model	model	NOUN
cana-6006	402	6	's	's	PART
cana-6006	402	7	proficiency	proficiency	NOUN
cana-6006	402	8	in	in	ADP
cana-6006	402	9	precisely	precisely	ADV
cana-6006	402	10	detecting	detect	VERB
cana-6006	402	11	and	and	CCONJ
cana-6006	402	12	discriminating	discriminate	VERB
cana-6006	402	13	among	among	ADP
cana-6006	402	14	different	different	ADJ
cana-6006	402	15	types	type	NOUN
cana-6006	402	16	of	of	ADP
cana-6006	402	17	hemorrhages	hemorrhage	NOUN
cana-6006	402	18	,	,	PUNCT
cana-6006	402	19	a	a	DET
cana-6006	402	20	necessity	necessity	NOUN
cana-6006	402	21	for	for	ADP
cana-6006	402	22	timely	timely	ADJ
cana-6006	402	23	and	and	CCONJ
cana-6006	402	24	accurate	accurate	ADJ
cana-6006	402	25	clinical	clinical	ADJ
cana-6006	402	26	decision	decision	NOUN
cana-6006	402	27	-	-	PUNCT
cana-6006	402	28	making	making	NOUN
cana-6006	402	29	.	.	PUNCT
cana-6006	403	1	when	when	SCONJ
cana-6006	403	2	compared	compare	VERB
cana-6006	403	3	to	to	ADP
cana-6006	403	4	other	other	ADJ
cana-6006	403	5	baseline	baseline	NOUN
cana-6006	403	6	models	model	NOUN
cana-6006	403	7	like	like	ADP
cana-6006	403	8	vgg16	vgg16	NOUN
cana-6006	403	9	and	and	CCONJ
cana-6006	403	10	normal	normal	ADJ
cana-6006	403	11	resnet-50	resnet-50	NOUN
cana-6006	403	12	,	,	PUNCT
cana-6006	403	13	the	the	DET
cana-6006	403	14	suggested	suggest	VERB
cana-6006	403	15	strategy	strategy	NOUN
cana-6006	403	16	leads	lead	VERB
cana-6006	403	17	to	to	ADP
cana-6006	403	18	uniformly	uniformly	ADV
cana-6006	403	19	better	well	ADV
cana-6006	403	20	overall	overall	ADV
cana-6006	403	21	as	as	ADV
cana-6006	403	22	well	well	ADV
cana-6006	403	23	as	as	ADP
cana-6006	403	24	subtype	subtype	NOUN
cana-6006	403	25	-	-	PUNCT
cana-6006	403	26	specific	specific	ADJ
cana-6006	403	27	classification	classification	NOUN
cana-6006	403	28	accuracy	accuracy	NOUN
cana-6006	403	29	.	.	PUNCT
cana-6006	404	1	se	se	PROPN
cana-6006	404	2	blocks	block	VERB
cana-6006	404	3	help	help	NOUN
cana-6006	404	4	in	in	ADP
cana-6006	404	5	greatly	greatly	ADV
cana-6006	404	6	enhancing	enhance	VERB
cana-6006	404	7	channel	channel	NOUN
cana-6006	404	8	-	-	PUNCT
cana-6006	404	9	wise	wise	ADJ
cana-6006	404	10	feature	feature	NOUN
cana-6006	404	11	recalibration	recalibration	NOUN
cana-6006	404	12	,	,	PUNCT
cana-6006	404	13	while	while	SCONJ
cana-6006	404	14	segmentation	segmentation	NOUN
cana-6006	404	15	using	use	VERB
cana-6006	404	16	the	the	DET
cana-6006	404	17	u	u	ADJ
cana-6006	404	18	-	-	ADJ
cana-6006	404	19	net	net	ADJ
cana-6006	404	20	structure	structure	NOUN
cana-6006	404	21	aids	aid	VERB
cana-6006	404	22	spatial	spatial	ADJ
cana-6006	404	23	attention	attention	NOUN
cana-6006	404	24	towards	towards	ADP
cana-6006	404	25	hemorrhagic	hemorrhagic	NOUN
cana-6006	404	26	areas	area	NOUN
cana-6006	404	27	,	,	PUNCT
cana-6006	404	28	providing	provide	VERB
cana-6006	404	29	enhanced	enhanced	ADJ
cana-6006	404	30	generalization	generalization	NOUN
cana-6006	404	31	and	and	CCONJ
cana-6006	404	32	interpretability	interpretability	NOUN
cana-6006	404	33	.	.	PUNCT
cana-6006	405	1	apart	apart	ADV
cana-6006	405	2	from	from	ADP
cana-6006	405	3	this	this	PRON
cana-6006	405	4	,	,	PUNCT
cana-6006	405	5	grad	grad	NOUN
cana-6006	405	6	-	-	PUNCT
cana-6006	405	7	cam	cam	NOUN
cana-6006	405	8	visualizations	visualization	NOUN
cana-6006	405	9	provide	provide	VERB
cana-6006	405	10	an	an	DET
cana-6006	405	11	added	add	VERB
cana-6006	405	12	layer	layer	NOUN
cana-6006	405	13	of	of	ADP
cana-6006	405	14	explainability	explainability	NOUN
cana-6006	405	15	,	,	PUNCT
cana-6006	405	16	which	which	PRON
cana-6006	405	17	is	be	AUX
cana-6006	405	18	pivotal	pivotal	ADJ
cana-6006	405	19	in	in	ADP
cana-6006	405	20	gaining	gain	VERB
cana-6006	405	21	trust	trust	NOUN
cana-6006	405	22	within	within	ADP
cana-6006	405	23	clinical	clinical	ADJ
cana-6006	405	24	settings	setting	NOUN
cana-6006	405	25	.	.	PUNCT
cana-6006	406	1	one	one	NUM
cana-6006	406	2	of	of	ADP
cana-6006	406	3	the	the	DET
cana-6006	406	4	key	key	ADJ
cana-6006	406	5	assets	asset	NOUN
cana-6006	406	6	of	of	ADP
cana-6006	406	7	this	this	DET
cana-6006	406	8	work	work	NOUN
cana-6006	406	9	is	be	AUX
cana-6006	406	10	end	end	NOUN
cana-6006	406	11	-	-	PUNCT
cana-6006	406	12	to	to	ADP
cana-6006	406	13	-	-	PUNCT
cana-6006	406	14	end	end	NOUN
cana-6006	406	15	design	design	NOUN
cana-6006	406	16	with	with	ADP
cana-6006	406	17	the	the	DET
cana-6006	406	18	incorporation	incorporation	NOUN
cana-6006	406	19	of	of	ADP
cana-6006	406	20	cutting	cut	VERB
cana-6006	406	21	-	-	PUNCT
cana-6006	406	22	edge	edge	NOUN
cana-6006	406	23	preprocessing	preprocessing	NOUN
cana-6006	406	24	,	,	PUNCT
cana-6006	406	25	optimized	optimize	VERB
cana-6006	406	26	architecture	architecture	NOUN
cana-6006	406	27	,	,	PUNCT
cana-6006	406	28	and	and	CCONJ
cana-6006	406	29	deployment	deployment	NOUN
cana-6006	406	30	capability	capability	NOUN
cana-6006	406	31	.	.	PUNCT
cana-6006	407	1	the	the	DET
cana-6006	407	2	model	model	NOUN
cana-6006	407	3	is	be	AUX
cana-6006	407	4	trained	train	VERB
cana-6006	407	5	on	on	ADP
cana-6006	407	6	a	a	DET
cana-6006	407	7	finely	finely	ADV
cana-6006	407	8	communications	communication	NOUN
cana-6006	407	9	on	on	ADP
cana-6006	407	10	applied	apply	VERB
cana-6006	407	11	nonlinear	nonlinear	ADJ
cana-6006	407	12	analysis	analysis	NOUN
cana-6006	407	13	issn	issn	NOUN
cana-6006	407	14	:	:	PUNCT
cana-6006	407	15	1074	1074	NUM
cana-6006	407	16	-	-	PUNCT
cana-6006	407	17	133x	133x	NUM
cana-6006	407	18	vol	vol	VERB
cana-6006	407	19	32	32	NUM
cana-6006	407	20	no	no	NOUN
cana-6006	407	21	.	.	PUNCT
cana-6006	408	1	10s	10	NOUN
cana-6006	408	2	(	(	PUNCT
cana-6006	408	3	2025	2025	NUM
cana-6006	408	4	)	)	PUNCT
cana-6006	408	5	3222	3222	NUM
cana-6006	408	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-6006	408	7	adjusted	adjust	VERB
cana-6006	408	8	pipeline	pipeline	NOUN
cana-6006	408	9	and	and	CCONJ
cana-6006	408	10	facilitates	facilitate	VERB
cana-6006	408	11	integration	integration	NOUN
cana-6006	408	12	with	with	ADP
cana-6006	408	13	hospital	hospital	NOUN
cana-6006	408	14	pacs	pac	NOUN
cana-6006	408	15	systems	system	NOUN
cana-6006	408	16	for	for	ADP
cana-6006	408	17	real	real	ADJ
cana-6006	408	18	-	-	PUNCT
cana-6006	408	19	time	time	NOUN
cana-6006	408	20	diagnosis	diagnosis	NOUN
cana-6006	408	21	by	by	ADP
cana-6006	408	22	means	mean	NOUN
cana-6006	408	23	of	of	ADP
cana-6006	408	24	cloud	cloud	NOUN
cana-6006	408	25	or	or	CCONJ
cana-6006	408	26	edge	edge	NOUN
cana-6006	408	27	-	-	PUNCT
cana-6006	408	28	based	base	VERB
cana-6006	408	29	deployment	deployment	NOUN
cana-6006	408	30	.	.	PUNCT
cana-6006	409	1	such	such	DET
cana-6006	409	2	a	a	DET
cana-6006	409	3	high	high	ADJ
cana-6006	409	4	level	level	NOUN
cana-6006	409	5	of	of	ADP
cana-6006	409	6	system	system	NOUN
cana-6006	409	7	design	design	NOUN
cana-6006	409	8	provides	provide	VERB
cana-6006	409	9	both	both	DET
cana-6006	409	10	clinical	clinical	ADJ
cana-6006	409	11	relevance	relevance	NOUN
cana-6006	409	12	and	and	CCONJ
cana-6006	409	13	real	real	ADJ
cana-6006	409	14	-	-	PUNCT
cana-6006	409	15	world	world	NOUN
cana-6006	409	16	applicability	applicability	NOUN
cana-6006	409	17	.	.	PUNCT
cana-6006	410	1	nevertheless	nevertheless	ADV
cana-6006	410	2	,	,	PUNCT
cana-6006	410	3	a	a	DET
cana-6006	410	4	few	few	ADJ
cana-6006	410	5	limitations	limitation	NOUN
cana-6006	410	6	need	need	VERB
cana-6006	410	7	to	to	PART
cana-6006	410	8	be	be	AUX
cana-6006	410	9	recognized	recognize	VERB
cana-6006	410	10	.	.	PUNCT
cana-6006	411	1	the	the	DET
cana-6006	411	2	data	datum	NOUN
cana-6006	411	3	set	set	VERB
cana-6006	411	4	,	,	PUNCT
cana-6006	411	5	although	although	SCONJ
cana-6006	411	6	extensive	extensive	ADJ
cana-6006	411	7	,	,	PUNCT
cana-6006	411	8	can	can	AUX
cana-6006	411	9	never	never	ADV
cana-6006	411	10	fully	fully	ADV
cana-6006	411	11	reproduce	reproduce	VERB
cana-6006	411	12	all	all	DET
cana-6006	411	13	the	the	DET
cana-6006	411	14	variability	variability	NOUN
cana-6006	411	15	observed	observe	VERB
cana-6006	411	16	within	within	ADP
cana-6006	411	17	real	real	ADJ
cana-6006	411	18	-	-	PUNCT
cana-6006	411	19	world	world	NOUN
cana-6006	411	20	environments	environment	NOUN
cana-6006	411	21	,	,	PUNCT
cana-6006	411	22	including	include	VERB
cana-6006	411	23	multi	multi	ADJ
cana-6006	411	24	-	-	ADJ
cana-6006	411	25	institutional	institutional	ADJ
cana-6006	411	26	bias	bias	NOUN
cana-6006	411	27	or	or	CCONJ
cana-6006	411	28	heterogeneity	heterogeneity	NOUN
cana-6006	411	29	of	of	ADP
cana-6006	411	30	scanner	scanner	NOUN
cana-6006	411	31	configurations	configuration	NOUN
cana-6006	411	32	.	.	PUNCT
cana-6006	412	1	additionally	additionally	ADV
cana-6006	412	2	,	,	PUNCT
cana-6006	412	3	the	the	DET
cana-6006	412	4	present	present	ADJ
cana-6006	412	5	framework	framework	NOUN
cana-6006	412	6	does	do	AUX
cana-6006	412	7	n't	not	PART
cana-6006	412	8	provide	provide	VERB
cana-6006	412	9	for	for	ADP
cana-6006	412	10	longitudinal	longitudinal	ADJ
cana-6006	412	11	scan	scan	ADJ
cana-6006	412	12	analysis	analysis	NOUN
cana-6006	412	13	or	or	CCONJ
cana-6006	412	14	for	for	ADP
cana-6006	412	15	handling	handle	VERB
cana-6006	412	16	multi	multi	ADJ
cana-6006	412	17	-	-	ADJ
cana-6006	412	18	modal	modal	ADJ
cana-6006	412	19	imaging	imaging	NOUN
cana-6006	412	20	,	,	PUNCT
cana-6006	412	21	which	which	PRON
cana-6006	412	22	might	might	AUX
cana-6006	412	23	add	add	VERB
cana-6006	412	24	depth	depth	NOUN
cana-6006	412	25	to	to	ADP
cana-6006	412	26	diagnosis	diagnosis	NOUN
cana-6006	412	27	.	.	PUNCT
cana-6006	413	1	future	future	ADJ
cana-6006	413	2	research	research	NOUN
cana-6006	413	3	must	must	AUX
cana-6006	413	4	prioritize	prioritize	VERB
cana-6006	413	5	enlarging	enlarge	VERB
cana-6006	413	6	dataset	dataset	ADJ
cana-6006	413	7	diversity	diversity	NOUN
cana-6006	413	8	and	and	CCONJ
cana-6006	413	9	using	use	VERB
cana-6006	413	10	3d	3d	PROPN
cana-6006	413	11	cnns	cnn	NOUN
cana-6006	413	12	for	for	ADP
cana-6006	413	13	volumetric	volumetric	ADJ
cana-6006	413	14	analysis	analysis	NOUN
cana-6006	413	15	.	.	PUNCT
cana-6006	414	1	subsequently	subsequently	ADV
cana-6006	414	2	,	,	PUNCT
cana-6006	414	3	federated	federated	ADJ
cana-6006	414	4	learning	learning	NOUN
cana-6006	414	5	integration	integration	NOUN
cana-6006	414	6	could	could	AUX
cana-6006	414	7	provide	provide	VERB
cana-6006	414	8	privacy	privacy	NOUN
cana-6006	414	9	-	-	PUNCT
cana-6006	414	10	preserving	preserve	VERB
cana-6006	414	11	training	training	NOUN
cana-6006	414	12	between	between	ADP
cana-6006	414	13	institutions	institution	NOUN
cana-6006	414	14	.	.	PUNCT
cana-6006	415	1	solving	solve	VERB
cana-6006	415	2	model	model	NOUN
cana-6006	415	3	fairness	fairness	NOUN
cana-6006	415	4	and	and	CCONJ
cana-6006	415	5	obtaining	obtain	VERB
cana-6006	415	6	balanced	balanced	ADJ
cana-6006	415	7	performance	performance	NOUN
cana-6006	415	8	across	across	ADP
cana-6006	415	9	demographic	demographic	ADJ
cana-6006	415	10	subgroups	subgroup	NOUN
cana-6006	415	11	is	be	AUX
cana-6006	415	12	also	also	ADV
cana-6006	415	13	essential	essential	ADJ
cana-6006	415	14	for	for	ADP
cana-6006	415	15	ethical	ethical	ADJ
cana-6006	415	16	deployment	deployment	NOUN
cana-6006	415	17	.	.	PUNCT
cana-6006	416	1	investigating	investigate	VERB
cana-6006	416	2	multimodal	multimodal	ADJ
cana-6006	416	3	learning	learning	NOUN
cana-6006	416	4	and	and	CCONJ
cana-6006	416	5	real	real	ADJ
cana-6006	416	6	-	-	PUNCT
cana-6006	416	7	time	time	NOUN
cana-6006	416	8	adaptation	adaptation	NOUN
cana-6006	416	9	mechanisms	mechanism	NOUN
cana-6006	416	10	is	be	AUX
cana-6006	416	11	another	another	DET
cana-6006	416	12	promising	promising	ADJ
cana-6006	416	13	path	path	NOUN
cana-6006	416	14	to	to	PART
cana-6006	416	15	further	far	ADV
cana-6006	416	16	improve	improve	VERB
cana-6006	416	17	clinical	clinical	ADJ
cana-6006	416	18	robustness	robustness	NOUN
cana-6006	416	19	and	and	CCONJ
cana-6006	416	20	scalability	scalability	NOUN
cana-6006	416	21	.	.	PUNCT
cana-6006	417	1	in	in	ADP
cana-6006	417	2	conclusion	conclusion	NOUN
cana-6006	417	3	,	,	PUNCT
cana-6006	417	4	this	this	DET
cana-6006	417	5	work	work	NOUN
cana-6006	417	6	provides	provide	VERB
cana-6006	417	7	major	major	ADJ
cana-6006	417	8	contributions	contribution	NOUN
cana-6006	417	9	to	to	ADP
cana-6006	417	10	medical	medical	ADJ
cana-6006	417	11	ai	ai	VERB
cana-6006	417	12	by	by	ADP
cana-6006	417	13	presenting	present	VERB
cana-6006	417	14	a	a	DET
cana-6006	417	15	high	high	ADV
cana-6006	417	16	-	-	PUNCT
cana-6006	417	17	performing	perform	VERB
cana-6006	417	18	,	,	PUNCT
cana-6006	417	19	interpretable	interpretable	ADJ
cana-6006	417	20	,	,	PUNCT
cana-6006	417	21	and	and	CCONJ
cana-6006	417	22	deployable	deployable	ADJ
cana-6006	417	23	system	system	NOUN
cana-6006	417	24	for	for	ADP
cana-6006	417	25	predicting	predict	VERB
cana-6006	417	26	brain	brain	NOUN
cana-6006	417	27	hemorrhage	hemorrhage	NOUN
cana-6006	417	28	,	,	PUNCT
cana-6006	417	29	as	as	ADV
cana-6006	417	30	well	well	ADV
cana-6006	417	31	as	as	ADP
cana-6006	417	32	charting	chart	VERB
cana-6006	417	33	important	important	ADJ
cana-6006	417	34	areas	area	NOUN
cana-6006	417	35	to	to	PART
cana-6006	417	36	pursue	pursue	VERB
cana-6006	417	37	further	further	ADJ
cana-6006	417	38	innovation	innovation	NOUN
cana-6006	417	39	.	.	PUNCT
cana-6006	418	1	10	10	NUM
cana-6006	418	2	.	.	PUNCT
cana-6006	418	3	conclusions	conclusion	NOUN
cana-6006	418	4	in	in	ADP
cana-6006	418	5	this	this	DET
cana-6006	418	6	research	research	NOUN
cana-6006	418	7	,	,	PUNCT
cana-6006	418	8	a	a	DET
cana-6006	418	9	novel	novel	ADJ
cana-6006	418	10	deep	deep	ADJ
cana-6006	418	11	learning	learning	NOUN
cana-6006	418	12	architecture	architecture	NOUN
cana-6006	418	13	was	be	AUX
cana-6006	418	14	proposed	propose	VERB
cana-6006	418	15	for	for	ADP
cana-6006	418	16	automated	automate	VERB
cana-6006	418	17	subtype	subtype	NOUN
cana-6006	418	18	prediction	prediction	NOUN
cana-6006	418	19	and	and	CCONJ
cana-6006	418	20	classification	classification	NOUN
cana-6006	418	21	of	of	ADP
cana-6006	418	22	brain	brain	NOUN
cana-6006	418	23	hemorrhage	hemorrhage	NOUN
cana-6006	418	24	based	base	VERB
cana-6006	418	25	on	on	ADP
cana-6006	418	26	mri	mri	NOUN
cana-6006	418	27	scans	scan	NOUN
cana-6006	418	28	.	.	PUNCT
cana-6006	419	1	catering	cater	VERB
cana-6006	419	2	to	to	ADP
cana-6006	419	3	the	the	DET
cana-6006	419	4	very	very	ADV
cana-6006	419	5	high	high	ADJ
cana-6006	419	6	and	and	CCONJ
cana-6006	419	7	urgent	urgent	ADJ
cana-6006	419	8	need	need	NOUN
cana-6006	419	9	for	for	ADP
cana-6006	419	10	timely	timely	ADJ
cana-6006	419	11	and	and	CCONJ
cana-6006	419	12	precise	precise	ADJ
cana-6006	419	13	diagnosis	diagnosis	NOUN
cana-6006	419	14	in	in	ADP
cana-6006	419	15	the	the	DET
cana-6006	419	16	clinic	clinic	NOUN
cana-6006	419	17	,	,	PUNCT
cana-6006	419	18	the	the	DET
cana-6006	419	19	study	study	NOUN
cana-6006	419	20	utilized	utilize	VERB
cana-6006	419	21	a	a	DET
cana-6006	419	22	modified	modify	VERB
cana-6006	419	23	resnet-50	resnet-50	NOUN
cana-6006	419	24	framework	framework	NOUN
cana-6006	419	25	enhanced	enhance	VERB
cana-6006	419	26	with	with	ADP
cana-6006	419	27	squeeze	squeeze	NOUN
cana-6006	419	28	-	-	PUNCT
cana-6006	419	29	and	and	CCONJ
cana-6006	419	30	-	-	PUNCT
cana-6006	419	31	excitation	excitation	NOUN
cana-6006	419	32	(	(	PUNCT
cana-6006	419	33	se	se	X
cana-6006	419	34	)	)	PUNCT
cana-6006	419	35	blocks	block	NOUN
cana-6006	419	36	as	as	ADV
cana-6006	419	37	well	well	ADV
cana-6006	419	38	as	as	ADP
cana-6006	419	39	u	u	NOUN
cana-6006	419	40	-	-	ADJ
cana-6006	419	41	net	net	ADJ
cana-6006	419	42	-	-	PUNCT
cana-6006	419	43	based	base	VERB
cana-6006	419	44	preprocessing	preprocessing	NOUN
cana-6006	419	45	to	to	PART
cana-6006	419	46	improve	improve	VERB
cana-6006	419	47	spatial	spatial	ADJ
cana-6006	419	48	feature	feature	NOUN
cana-6006	419	49	extraction	extraction	NOUN
cana-6006	419	50	.	.	PUNCT
cana-6006	420	1	the	the	DET
cana-6006	420	2	model	model	NOUN
cana-6006	420	3	was	be	AUX
cana-6006	420	4	also	also	ADV
cana-6006	420	5	trained	train	VERB
cana-6006	420	6	and	and	CCONJ
cana-6006	420	7	tested	test	VERB
cana-6006	420	8	on	on	ADP
cana-6006	420	9	the	the	DET
cana-6006	420	10	rsna	rsna	NOUN
cana-6006	420	11	intracranial	intracranial	ADJ
cana-6006	420	12	hemorrhage	hemorrhage	NOUN
cana-6006	420	13	detection	detection	NOUN
cana-6006	420	14	dataset	dataset	VERB
cana-6006	420	15	with	with	ADP
cana-6006	420	16	a	a	DET
cana-6006	420	17	high	high	ADJ
cana-6006	420	18	accuracy	accuracy	NOUN
cana-6006	420	19	of	of	ADP
cana-6006	420	20	94.6	94.6	NUM
cana-6006	420	21	%	%	NOUN
cana-6006	420	22	,	,	PUNCT
cana-6006	420	23	precision	precision	NOUN
cana-6006	420	24	of	of	ADP
cana-6006	420	25	93.2	93.2	NUM
cana-6006	420	26	%	%	NOUN
cana-6006	420	27	,	,	PUNCT
cana-6006	420	28	recall	recall	NOUN
cana-6006	420	29	of	of	ADP
cana-6006	420	30	92.9	92.9	NUM
cana-6006	420	31	%	%	NOUN
cana-6006	420	32	,	,	PUNCT
cana-6006	420	33	f1	f1	NOUN
cana-6006	420	34	-	-	PUNCT
cana-6006	420	35	score	score	NOUN
cana-6006	420	36	of	of	ADP
cana-6006	420	37	93.0	93.0	NUM
cana-6006	420	38	%	%	NOUN
cana-6006	420	39	,	,	PUNCT
cana-6006	420	40	and	and	CCONJ
cana-6006	420	41	auc	auc	NOUN
cana-6006	420	42	-	-	PUNCT
cana-6006	420	43	roc	roc	NOUN
cana-6006	420	44	of	of	ADP
cana-6006	420	45	95.4	95.4	NUM
cana-6006	420	46	%	%	NOUN
cana-6006	420	47	.	.	PUNCT
cana-6006	421	1	the	the	DET
cana-6006	421	2	performance	performance	NOUN
cana-6006	421	3	significantly	significantly	ADV
cana-6006	421	4	exceeds	exceed	VERB
cana-6006	421	5	the	the	DET
cana-6006	421	6	baseline	baseline	NOUN
cana-6006	421	7	models	model	NOUN
cana-6006	421	8	,	,	PUNCT
cana-6006	421	9	thereby	thereby	ADV
cana-6006	421	10	confirming	confirm	VERB
cana-6006	421	11	the	the	DET
cana-6006	421	12	strength	strength	NOUN
cana-6006	421	13	of	of	ADP
cana-6006	421	14	the	the	DET
cana-6006	421	15	architectural	architectural	ADJ
cana-6006	421	16	improvements	improvement	NOUN
cana-6006	421	17	as	as	ADV
cana-6006	421	18	well	well	ADV
cana-6006	421	19	as	as	ADP
cana-6006	421	20	the	the	DET
cana-6006	421	21	preprocessing	preprocessing	NOUN
cana-6006	421	22	strategies	strategy	NOUN
cana-6006	421	23	.	.	PUNCT
cana-6006	422	1	this	this	DET
cana-6006	422	2	work	work	NOUN
cana-6006	422	3	advances	advance	VERB
cana-6006	422	4	the	the	DET
cana-6006	422	5	medical	medical	ADJ
cana-6006	422	6	ai	ai	NOUN
cana-6006	422	7	field	field	NOUN
cana-6006	422	8	by	by	ADP
cana-6006	422	9	providing	provide	VERB
cana-6006	422	10	a	a	DET
cana-6006	422	11	high	high	ADJ
cana-6006	422	12	-	-	PUNCT
cana-6006	422	13	performance	performance	NOUN
cana-6006	422	14	,	,	PUNCT
cana-6006	422	15	explainable	explainable	ADJ
cana-6006	422	16	,	,	PUNCT
cana-6006	422	17	and	and	CCONJ
cana-6006	422	18	deployable	deployable	ADJ
cana-6006	422	19	solution	solution	NOUN
cana-6006	422	20	to	to	ADP
cana-6006	422	21	detecting	detect	VERB
cana-6006	422	22	brain	brain	NOUN
cana-6006	422	23	hemorrhage	hemorrhage	NOUN
cana-6006	422	24	,	,	PUNCT
cana-6006	422	25	with	with	ADP
cana-6006	422	26	feasible	feasible	ADJ
cana-6006	422	27	integration	integration	NOUN
cana-6006	422	28	routes	route	NOUN
cana-6006	422	29	into	into	ADP
cana-6006	422	30	hospital	hospital	NOUN
cana-6006	422	31	pacs	pac	NOUN
cana-6006	422	32	and	and	CCONJ
cana-6006	422	33	in	in	ADP
cana-6006	422	34	realtime	realtime	ADJ
cana-6006	422	35	clinical	clinical	ADJ
cana-6006	422	36	pipelines	pipeline	NOUN
cana-6006	422	37	through	through	ADP
cana-6006	422	38	cloud	cloud	NOUN
cana-6006	422	39	and	and	CCONJ
cana-6006	422	40	edge	edge	VERB
cana-6006	422	41	deployment	deployment	NOUN
cana-6006	422	42	models	model	NOUN
cana-6006	422	43	.	.	PUNCT
cana-6006	423	1	the	the	DET
cana-6006	423	2	research	research	NOUN
cana-6006	423	3	is	be	AUX
cana-6006	423	4	,	,	PUNCT
cana-6006	423	5	however	however	ADV
cana-6006	423	6	,	,	PUNCT
cana-6006	423	7	hampered	hamper	VERB
cana-6006	423	8	by	by	ADP
cana-6006	423	9	the	the	DET
cana-6006	423	10	homogeneity	homogeneity	NOUN
cana-6006	423	11	of	of	ADP
cana-6006	423	12	the	the	DET
cana-6006	423	13	dataset	dataset	NOUN
cana-6006	423	14	across	across	ADP
cana-6006	423	15	institutions	institution	NOUN
cana-6006	423	16	,	,	PUNCT
cana-6006	423	17	which	which	PRON
cana-6006	423	18	might	might	AUX
cana-6006	423	19	impact	impact	VERB
cana-6006	423	20	model	model	NOUN
cana-6006	423	21	generalizability	generalizability	NOUN
cana-6006	423	22	in	in	ADP
cana-6006	423	23	diverse	diverse	ADJ
cana-6006	423	24	healthcare	healthcare	NOUN
cana-6006	423	25	settings	setting	NOUN
cana-6006	423	26	.	.	PUNCT
cana-6006	424	1	moreover	moreover	ADV
cana-6006	424	2	,	,	PUNCT
cana-6006	424	3	the	the	DET
cana-6006	424	4	existing	exist	VERB
cana-6006	424	5	infrastructure	infrastructure	NOUN
cana-6006	424	6	does	do	AUX
cana-6006	424	7	not	not	PART
cana-6006	424	8	utilize	utilize	VERB
cana-6006	424	9	3d	3d	NUM
cana-6006	424	10	volumetric	volumetric	NOUN
cana-6006	424	11	data	datum	NOUN
cana-6006	424	12	or	or	CCONJ
cana-6006	424	13	multimodal	multimodal	NOUN
cana-6006	424	14	data	datum	NOUN
cana-6006	424	15	sources	source	NOUN
cana-6006	424	16	.	.	PUNCT
cana-6006	425	1	11	11	NUM
cana-6006	425	2	.	.	PUNCT
cana-6006	426	1	future	future	ADJ
cana-6006	426	2	scope	scope	NOUN
cana-6006	426	3	future	future	ADJ
cana-6006	426	4	research	research	NOUN
cana-6006	426	5	should	should	AUX
cana-6006	426	6	prioritize	prioritize	VERB
cana-6006	426	7	increasing	increase	VERB
cana-6006	426	8	dataset	dataset	ADJ
cana-6006	426	9	diversity	diversity	NOUN
cana-6006	426	10	,	,	PUNCT
cana-6006	426	11	adding	add	VERB
cana-6006	426	12	3d	3d	PROPN
cana-6006	426	13	cnns	cnn	NOUN
cana-6006	426	14	,	,	PUNCT
cana-6006	426	15	and	and	CCONJ
cana-6006	426	16	supporting	support	VERB
cana-6006	426	17	federated	federated	ADJ
cana-6006	426	18	learning	learning	NOUN
cana-6006	426	19	for	for	ADP
cana-6006	426	20	privacy	privacy	NOUN
cana-6006	426	21	-	-	PUNCT
cana-6006	426	22	preserving	preserve	VERB
cana-6006	426	23	multi	multi	ADJ
cana-6006	426	24	-	-	ADJ
cana-6006	426	25	institutional	institutional	ADJ
cana-6006	426	26	training	training	NOUN
cana-6006	426	27	.	.	PUNCT
cana-6006	427	1	furthermore	furthermore	ADV
cana-6006	427	2	,	,	PUNCT
cana-6006	427	3	tackling	tackle	VERB
cana-6006	427	4	fairness	fairness	NOUN
cana-6006	427	5	across	across	ADP
cana-6006	427	6	demographic	demographic	ADJ
cana-6006	427	7	subgroups	subgroup	NOUN
cana-6006	427	8	and	and	CCONJ
cana-6006	427	9	compliance	compliance	NOUN
cana-6006	427	10	with	with	ADP
cana-6006	427	11	regulations	regulation	NOUN
cana-6006	427	12	will	will	AUX
cana-6006	427	13	be	be	AUX
cana-6006	427	14	critical	critical	ADJ
cana-6006	427	15	to	to	ADP
cana-6006	427	16	clinical	clinical	ADJ
cana-6006	427	17	uptake	uptake	NOUN
cana-6006	427	18	.	.	PUNCT
cana-6006	428	1	in	in	ADP
cana-6006	428	2	the	the	DET
cana-6006	428	3	future	future	NOUN
cana-6006	428	4	,	,	PUNCT
cana-6006	428	5	the	the	DET
cana-6006	428	6	incorporation	incorporation	NOUN
cana-6006	428	7	of	of	ADP
cana-6006	428	8	morally	morally	ADV
cana-6006	428	9	conscious	conscious	ADJ
cana-6006	428	10	,	,	PUNCT
cana-6006	428	11	interpretable	interpretable	ADJ
cana-6006	428	12	ai	ai	VERB
cana-6006	428	13	into	into	ADP
cana-6006	428	14	medical	medical	ADJ
cana-6006	428	15	diagnosis	diagnosis	NOUN
cana-6006	428	16	could	could	AUX
cana-6006	428	17	enhance	enhance	VERB
cana-6006	428	18	healthcare	healthcare	PROPN
cana-6006	428	19	equity	equity	NOUN
cana-6006	428	20	,	,	PUNCT
cana-6006	428	21	minimize	minimize	VERB
cana-6006	428	22	diagnostic	diagnostic	ADJ
cana-6006	428	23	delays	delay	NOUN
cana-6006	428	24	,	,	PUNCT
cana-6006	428	25	and	and	CCONJ
cana-6006	428	26	aid	aid	VERB
cana-6006	428	27	clinicians	clinician	NOUN
cana-6006	428	28	in	in	ADP
cana-6006	428	29	high	high	ADJ
cana-6006	428	30	-	-	PUNCT
cana-6006	428	31	pressure	pressure	NOUN
cana-6006	428	32	decisionmaking	decisionmake	VERB
cana-6006	428	33	contexts	contexts	NOUN
cana-6006	428	34	.	.	PUNCT
cana-6006	429	1	communications	communication	NOUN
cana-6006	429	2	on	on	ADP
cana-6006	429	3	applied	apply	VERB
cana-6006	429	4	nonlinear	nonlinear	ADJ
cana-6006	429	5	analysis	analysis	NOUN
cana-6006	429	6	issn	issn	NOUN
cana-6006	429	7	:	:	PUNCT
cana-6006	429	8	1074	1074	NUM
cana-6006	429	9	-	-	PUNCT
cana-6006	429	10	133x	133x	NUM
cana-6006	429	11	vol	vol	VERB
cana-6006	429	12	32	32	NUM
cana-6006	429	13	no	no	NOUN
cana-6006	429	14	.	.	PUNCT
cana-6006	430	1	10s	10	NOUN
cana-6006	430	2	(	(	PUNCT
cana-6006	430	3	2025	2025	NUM
cana-6006	430	4	)	)	PUNCT
cana-6006	430	5	3223	3223	NUM
cana-6006	431	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-6006	431	2	references	reference	NOUN
cana-6006	431	3	[	[	X
cana-6006	431	4	1	1	NUM
cana-6006	431	5	]	]	PUNCT
cana-6006	431	6	l.	l.	PROPN
cana-6006	431	7	quinn	quinn	PROPN
cana-6006	431	8	et	et	PROPN
cana-6006	431	9	al	al	PROPN
cana-6006	431	10	.	.	PROPN
cana-6006	431	11	,	,	PUNCT
cana-6006	431	12	"	"	PUNCT
cana-6006	431	13	interobserver	interobserver	ADJ
cana-6006	431	14	variability	variability	NOUN
cana-6006	431	15	studies	study	NOUN
cana-6006	431	16	in	in	ADP
cana-6006	431	17	diagnostic	diagnostic	ADJ
cana-6006	431	18	imaging	imaging	NOUN
cana-6006	431	19	:	:	PUNCT
cana-6006	431	20	a	a	DET
cana-6006	431	21	methodological	methodological	ADJ
cana-6006	431	22	systematic	systematic	ADJ
cana-6006	431	23	review	review	NOUN
cana-6006	431	24	,	,	PUNCT
cana-6006	431	25	"	"	PUNCT
cana-6006	431	26	br	br	PROPN
cana-6006	431	27	.	.	PUNCT
cana-6006	432	1	j.	j.	PROPN
cana-6006	432	2	radiol	radiol	PROPN
cana-6006	432	3	.	.	PUNCT
cana-6006	433	1	,	,	PUNCT
cana-6006	433	2	vol	vol	NOUN
cana-6006	433	3	.	.	PROPN
cana-6006	434	1	96	96	NUM
cana-6006	434	2	,	,	PUNCT
cana-6006	434	3	no	no	NOUN
cana-6006	434	4	.	.	NOUN
cana-6006	434	5	1148	1148	NUM
cana-6006	434	6	,	,	PUNCT
cana-6006	434	7	p.	p.	NOUN
cana-6006	434	8	20220972	20220972	NUM
cana-6006	434	9	,	,	PUNCT
cana-6006	434	10	2023	2023	NUM
cana-6006	434	11	.	.	PUNCT
cana-6006	435	1	[	[	X
cana-6006	435	2	2	2	NUM
cana-6006	435	3	]	]	X
cana-6006	435	4	d.	d.	PROPN
cana-6006	435	5	thakar	thakar	PROPN
cana-6006	435	6	,	,	PUNCT
cana-6006	435	7	s.	s.	PROPN
cana-6006	435	8	betgeri	betgeri	PROPN
cana-6006	435	9	,	,	PUNCT
cana-6006	435	10	b.	b.	PROPN
cana-6006	435	11	a.	a.	NOUN
cana-6006	435	12	chougule	chougule	PROPN
cana-6006	435	13	,	,	PUNCT
cana-6006	435	14	m.	m.	NOUN
cana-6006	435	15	mohan	mohan	PROPN
cana-6006	435	16	,	,	PUNCT
cana-6006	435	17	u.	u.	PROPN
cana-6006	435	18	bhatt	bhatt	PROPN
cana-6006	435	19	,	,	PUNCT
cana-6006	435	20	and	and	CCONJ
cana-6006	435	21	p.	p.	PROPN
cana-6006	435	22	sangani	sangani	NOUN
cana-6006	435	23	,	,	PUNCT
cana-6006	435	24	"	"	PUNCT
cana-6006	435	25	machine	machine	NOUN
cana-6006	435	26	learning	learn	VERB
cana-6006	435	27	algorithms	algorithm	NOUN
cana-6006	435	28	for	for	ADP
cana-6006	435	29	analyzing	analyze	VERB
cana-6006	435	30	medical	medical	ADJ
cana-6006	435	31	images	image	NOUN
cana-6006	435	32	and	and	CCONJ
cana-6006	435	33	ct	ct	NUM
cana-6006	435	34	scans	scan	NOUN
cana-6006	435	35	,	,	PUNCT
cana-6006	435	36	"	"	PUNCT
cana-6006	435	37	in	in	ADP
cana-6006	435	38	generative	generative	ADJ
cana-6006	435	39	artificial	artificial	ADJ
cana-6006	435	40	intelligence	intelligence	NOUN
cana-6006	435	41	in	in	ADP
cana-6006	435	42	healthcare	healthcare	PROPN
cana-6006	435	43	,	,	PUNCT
cana-6006	435	44	pp	pp	ADP
cana-6006	435	45	.	.	PUNCT
cana-6006	436	1	151–180	151–180	NUM
cana-6006	436	2	,	,	PUNCT
cana-6006	436	3	2025	2025	NUM
cana-6006	436	4	.	.	PUNCT
cana-6006	437	1	[	[	X
cana-6006	437	2	3	3	X
cana-6006	437	3	]	]	X
cana-6006	437	4	j.	j.	PROPN
cana-6006	437	5	m.	m.	PROPN
cana-6006	437	6	kernbach	kernbach	PROPN
cana-6006	437	7	and	and	CCONJ
cana-6006	437	8	v.	v.	PROPN
cana-6006	437	9	e.	e.	PROPN
cana-6006	437	10	staartjes	staartjes	PROPN
cana-6006	437	11	,	,	PUNCT
cana-6006	437	12	"	"	PUNCT
cana-6006	437	13	foundations	foundation	NOUN
cana-6006	437	14	of	of	ADP
cana-6006	437	15	machine	machine	NOUN
cana-6006	437	16	learning	learning	NOUN
cana-6006	437	17	-	-	PUNCT
cana-6006	437	18	based	base	VERB
cana-6006	437	19	clinical	clinical	ADJ
cana-6006	437	20	prediction	prediction	NOUN
cana-6006	437	21	modeling	modeling	NOUN
cana-6006	437	22	:	:	PUNCT
cana-6006	437	23	part	part	PROPN
cana-6006	437	24	ii	ii	PROPN
cana-6006	437	25	—	—	PUNCT
cana-6006	437	26	generalization	generalization	NOUN
cana-6006	437	27	and	and	CCONJ
cana-6006	437	28	overfitting	overfitting	NOUN
cana-6006	437	29	,	,	PUNCT
cana-6006	437	30	"	"	PUNCT
cana-6006	437	31	in	in	ADP
cana-6006	437	32	machine	machine	NOUN
cana-6006	437	33	learning	learning	NOUN
cana-6006	437	34	in	in	ADP
cana-6006	437	35	clinical	clinical	ADJ
cana-6006	437	36	neuroscience	neuroscience	NOUN
cana-6006	437	37	:	:	PUNCT
cana-6006	437	38	foundations	foundation	NOUN
cana-6006	437	39	and	and	CCONJ
cana-6006	437	40	applications	application	NOUN
cana-6006	437	41	,	,	PUNCT
cana-6006	437	42	pp	pp	ADJ
cana-6006	437	43	.	.	PUNCT
cana-6006	438	1	15–21	15–21	NUM
cana-6006	438	2	,	,	PUNCT
cana-6006	438	3	2021	2021	NUM
cana-6006	438	4	.	.	PUNCT
cana-6006	439	1	[	[	X
cana-6006	439	2	4	4	NUM
cana-6006	439	3	]	]	X
cana-6006	439	4	shah	shah	NOUN
cana-6006	439	5	,	,	PUNCT
cana-6006	439	6	v.	v.	PROPN
cana-6006	439	7	kerner	kerner	PROPN
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cana-6006	439	9	s.	s.	PROPN
cana-6006	439	10	j.	j.	PROPN
cana-6006	439	11	stanworth	stanworth	PROPN
cana-6006	439	12	,	,	PUNCT
cana-6006	439	13	and	and	CCONJ
cana-6006	439	14	s.	s.	PROPN
cana-6006	439	15	agarwal	agarwal	PROPN
cana-6006	439	16	,	,	PUNCT
cana-6006	439	17	"	"	PUNCT
cana-6006	439	18	major	major	ADJ
cana-6006	439	19	haemorrhage	haemorrhage	NOUN
cana-6006	439	20	:	:	PUNCT
cana-6006	439	21	past	past	ADJ
cana-6006	439	22	,	,	PUNCT
cana-6006	439	23	present	present	ADJ
cana-6006	439	24	and	and	CCONJ
cana-6006	439	25	future	future	ADJ
cana-6006	439	26	,	,	PUNCT
cana-6006	439	27	"	"	PUNCT
cana-6006	439	28	anaesthesia	anaesthesia	NOUN
cana-6006	439	29	,	,	PUNCT
cana-6006	439	30	vol	vol	NOUN
cana-6006	439	31	.	.	PROPN
cana-6006	440	1	78	78	NUM
cana-6006	440	2	,	,	PUNCT
cana-6006	440	3	no	no	INTJ
cana-6006	440	4	.	.	NOUN
cana-6006	440	5	1	1	NUM
cana-6006	440	6	,	,	PUNCT
cana-6006	440	7	pp	pp	ADJ
cana-6006	440	8	.	.	PUNCT
cana-6006	441	1	93–104	93–104	PROPN
cana-6006	441	2	,	,	PUNCT
cana-6006	441	3	2023	2023	NUM
cana-6006	441	4	.	.	PUNCT
cana-6006	442	1	[	[	X
cana-6006	442	2	5	5	NUM
cana-6006	442	3	]	]	PUNCT
cana-6006	442	4	q.	q.	PROPN
cana-6006	442	5	teng	teng	PROPN
cana-6006	442	6	,	,	PUNCT
cana-6006	442	7	z.	z.	PROPN
cana-6006	442	8	liu	liu	PROPN
cana-6006	442	9	,	,	PUNCT
cana-6006	442	10	y.	y.	PROPN
cana-6006	442	11	song	song	PROPN
cana-6006	442	12	,	,	PUNCT
cana-6006	442	13	k.	k.	PROPN
cana-6006	442	14	han	han	PROPN
cana-6006	442	15	,	,	PUNCT
cana-6006	442	16	and	and	CCONJ
cana-6006	442	17	y.	y.	PROPN
cana-6006	442	18	lu	lu	PROPN
cana-6006	442	19	,	,	PUNCT
cana-6006	442	20	"	"	PUNCT
cana-6006	442	21	a	a	DET
cana-6006	442	22	survey	survey	NOUN
cana-6006	442	23	on	on	ADP
cana-6006	442	24	the	the	DET
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cana-6006	442	26	of	of	ADP
cana-6006	442	27	deep	deep	ADJ
cana-6006	442	28	learning	learning	NOUN
cana-6006	442	29	in	in	ADP
cana-6006	442	30	medical	medical	ADJ
cana-6006	442	31	diagnosis	diagnosis	NOUN
cana-6006	442	32	,	,	PUNCT
cana-6006	442	33	"	"	PUNCT
cana-6006	442	34	multimedia	multimedia	NOUN
cana-6006	442	35	syst	syst	NOUN
cana-6006	442	36	.	.	PUNCT
cana-6006	442	37	,	,	PUNCT
cana-6006	442	38	vol	vol	NOUN
cana-6006	442	39	.	.	PROPN
cana-6006	442	40	28	28	NUM
cana-6006	442	41	,	,	PUNCT
cana-6006	442	42	no	no	INTJ
cana-6006	442	43	.	.	NOUN
cana-6006	442	44	6	6	NUM
cana-6006	442	45	,	,	PUNCT
cana-6006	442	46	pp	pp	ADJ
cana-6006	442	47	.	.	PUNCT
cana-6006	442	48	2335–2355	2335–2355	NUM
cana-6006	442	49	,	,	PUNCT
cana-6006	442	50	2022	2022	NUM
cana-6006	442	51	.	.	PUNCT
cana-6006	443	1	[	[	X
cana-6006	443	2	6	6	NUM
cana-6006	443	3	]	]	PUNCT
cana-6006	443	4	q.	q.	PROPN
cana-6006	443	5	chang	chang	PROPN
cana-6006	443	6	et	et	PROPN
cana-6006	443	7	al	al	PROPN
cana-6006	443	8	.	.	PROPN
cana-6006	443	9	,	,	PUNCT
cana-6006	443	10	"	"	PUNCT
cana-6006	443	11	mining	mine	VERB
cana-6006	443	12	multi	multi	ADJ
cana-6006	443	13	-	-	ADJ
cana-6006	443	14	center	center	ADJ
cana-6006	443	15	heterogeneous	heterogeneous	ADJ
cana-6006	443	16	medical	medical	ADJ
cana-6006	443	17	data	datum	NOUN
cana-6006	443	18	with	with	ADP
cana-6006	443	19	distributed	distribute	VERB
cana-6006	443	20	synthetic	synthetic	ADJ
cana-6006	443	21	learning	learning	NOUN
cana-6006	443	22	,	,	PUNCT
cana-6006	443	23	"	"	PUNCT
cana-6006	443	24	nat	nat	PROPN
cana-6006	443	25	.	.	PUNCT
cana-6006	444	1	commun	commun	PROPN
cana-6006	444	2	.	.	PROPN
cana-6006	444	3	,	,	PUNCT
cana-6006	444	4	vol	vol	NOUN
cana-6006	444	5	.	.	PROPN
cana-6006	445	1	14	14	NUM
cana-6006	445	2	,	,	PUNCT
cana-6006	445	3	no	no	INTJ
cana-6006	445	4	.	.	NOUN
cana-6006	445	5	1	1	NUM
cana-6006	445	6	,	,	PUNCT
cana-6006	445	7	p.	p.	NOUN
cana-6006	445	8	5510	5510	NUM
cana-6006	445	9	,	,	PUNCT
cana-6006	445	10	2023	2023	NUM
cana-6006	445	11	.	.	PUNCT
cana-6006	446	1	[	[	X
cana-6006	446	2	7	7	X
cana-6006	446	3	]	]	PUNCT
cana-6006	446	4	k.	k.	PROPN
cana-6006	446	5	s.	s.	PROPN
cana-6006	446	6	zaman	zaman	PROPN
cana-6006	446	7	,	,	PUNCT
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cana-6006	446	9	b.	b.	PROPN
cana-6006	446	10	i.	i.	PROPN
cana-6006	446	11	reaz	reaz	PROPN
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cana-6006	446	13	s.	s.	PROPN
cana-6006	446	14	h.	h.	PROPN
cana-6006	446	15	m.	m.	PROPN
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cana-6006	446	17	,	,	PUNCT
cana-6006	446	18	a.	a.	PROPN
cana-6006	446	19	a.	a.	NOUN
cana-6006	446	20	a.	a.	NOUN
cana-6006	446	21	bakar	bakar	PROPN
cana-6006	446	22	,	,	PUNCT
cana-6006	446	23	and	and	CCONJ
cana-6006	446	24	m.	m.	PROPN
cana-6006	446	25	e.	e.	PROPN
cana-6006	446	26	h.	h.	PROPN
cana-6006	446	27	chowdhury	chowdhury	PROPN
cana-6006	446	28	,	,	PUNCT
cana-6006	446	29	"	"	PUNCT
cana-6006	446	30	custom	custom	NOUN
cana-6006	446	31	hardware	hardware	NOUN
cana-6006	446	32	architectures	architecture	NOUN
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cana-6006	446	36	on	on	ADP
cana-6006	446	37	portable	portable	ADJ
cana-6006	446	38	devices	device	NOUN
cana-6006	446	39	:	:	PUNCT
cana-6006	446	40	a	a	DET
cana-6006	446	41	review	review	NOUN
cana-6006	446	42	,	,	PUNCT
cana-6006	446	43	"	"	PUNCT
cana-6006	446	44	ieee	ieee	NOUN
cana-6006	446	45	trans	tran	NOUN
cana-6006	446	46	.	.	PUNCT
cana-6006	446	47	neural	neural	ADJ
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cana-6006	446	49	.	.	PUNCT
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cana-6006	449	1	33	33	NUM
cana-6006	449	2	,	,	PUNCT
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cana-6006	449	4	.	.	NOUN
cana-6006	449	5	11	11	NUM
cana-6006	449	6	,	,	PUNCT
cana-6006	449	7	pp	pp	PROPN
cana-6006	449	8	.	.	PUNCT
cana-6006	449	9	6068–6088	6068–6088	NUM
cana-6006	449	10	,	,	PUNCT
cana-6006	449	11	2021	2021	NUM
cana-6006	449	12	.	.	PUNCT
cana-6006	450	1	[	[	X
cana-6006	450	2	8	8	NUM
cana-6006	450	3	]	]	X
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cana-6006	450	5	k.	k.	PROPN
cana-6006	450	6	kar	kar	PROPN
cana-6006	450	7	et	et	PROPN
cana-6006	450	8	al	al	PROPN
cana-6006	450	9	.	.	PROPN
cana-6006	450	10	,	,	PUNCT
cana-6006	450	11	"	"	PUNCT
cana-6006	450	12	automated	automate	VERB
cana-6006	450	13	intracranial	intracranial	ADJ
cana-6006	450	14	hemorrhage	hemorrhage	NOUN
cana-6006	450	15	detection	detection	NOUN
cana-6006	450	16	using	use	VERB
cana-6006	450	17	deep	deep	ADJ
cana-6006	450	18	learning	learning	NOUN
cana-6006	450	19	in	in	ADP
cana-6006	450	20	medical	medical	ADJ
cana-6006	450	21	image	image	NOUN
cana-6006	450	22	analysis	analysis	NOUN
cana-6006	450	23	,	,	PUNCT
cana-6006	450	24	"	"	PUNCT
cana-6006	450	25	in	in	ADP
cana-6006	450	26	proc	proc	NOUN
cana-6006	450	27	.	.	PUNCT
cana-6006	451	1	2024	2024	NUM
cana-6006	451	2	int	int	NOUN
cana-6006	451	3	.	.	PUNCT
cana-6006	451	4	conf	conf	PROPN
cana-6006	451	5	.	.	PUNCT
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cana-6006	452	2	sci	sci	PROPN
cana-6006	452	3	.	.	PUNCT
cana-6006	452	4	netw	netw	PROPN
cana-6006	452	5	.	.	PUNCT
cana-6006	453	1	secur	secur	PROPN
cana-6006	453	2	.	.	PUNCT
cana-6006	454	1	(	(	PUNCT
cana-6006	454	2	icdsns	icdsns	NOUN
cana-6006	454	3	)	)	PUNCT
cana-6006	454	4	,	,	PUNCT
cana-6006	454	5	pp	pp	ADP
cana-6006	454	6	.	.	PUNCT
cana-6006	455	1	1–6	1–6	NUM
cana-6006	455	2	,	,	PUNCT
cana-6006	455	3	july	july	PROPN
cana-6006	455	4	2024	2024	NUM
cana-6006	455	5	.	.	PUNCT
cana-6006	456	1	[	[	X
cana-6006	456	2	9	9	NUM
cana-6006	456	3	]	]	PUNCT
cana-6006	456	4	v.	v.	ADP
cana-6006	456	5	hassija	hassija	NOUN
cana-6006	456	6	et	et	PROPN
cana-6006	456	7	al	al	PROPN
cana-6006	456	8	.	.	PROPN
cana-6006	456	9	,	,	PUNCT
cana-6006	456	10	"	"	PUNCT
cana-6006	456	11	interpreting	interpret	VERB
cana-6006	456	12	black	black	ADJ
cana-6006	456	13	-	-	PUNCT
cana-6006	456	14	box	box	NOUN
cana-6006	456	15	models	model	NOUN
cana-6006	456	16	:	:	PUNCT
cana-6006	456	17	a	a	DET
cana-6006	456	18	review	review	NOUN
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cana-6006	456	20	explainable	explainable	ADJ
cana-6006	456	21	artificial	artificial	ADJ
cana-6006	456	22	intelligence	intelligence	NOUN
cana-6006	456	23	,	,	PUNCT
cana-6006	456	24	"	"	PUNCT
cana-6006	456	25	cogn	cogn	ADJ
cana-6006	456	26	.	.	PUNCT
cana-6006	457	1	comput	comput	PROPN
cana-6006	457	2	.	.	PUNCT
cana-6006	457	3	,	,	PUNCT
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cana-6006	457	5	.	.	PROPN
cana-6006	458	1	16	16	NUM
cana-6006	458	2	,	,	PUNCT
cana-6006	458	3	no	no	INTJ
cana-6006	458	4	.	.	NOUN
cana-6006	458	5	1	1	NUM
cana-6006	458	6	,	,	PUNCT
cana-6006	458	7	pp	pp	ADJ
cana-6006	458	8	.	.	PUNCT
cana-6006	459	1	45–74	45–74	NUM
cana-6006	459	2	,	,	PUNCT
cana-6006	459	3	2024	2024	NUM
cana-6006	459	4	.	.	PUNCT
cana-6006	460	1	[	[	X
cana-6006	460	2	10	10	NUM
cana-6006	460	3	]	]	PUNCT
cana-6006	460	4	m.	m.	NOUN
cana-6006	460	5	ganeshkumar	ganeshkumar	PROPN
cana-6006	460	6	et	et	PROPN
cana-6006	460	7	al	al	PROPN
cana-6006	460	8	.	.	PROPN
cana-6006	460	9	,	,	PUNCT
cana-6006	460	10	"	"	PUNCT
cana-6006	460	11	identification	identification	NOUN
cana-6006	460	12	of	of	ADP
cana-6006	460	13	intracranial	intracranial	ADJ
cana-6006	460	14	haemorrhage	haemorrhage	NOUN
cana-6006	460	15	(	(	PUNCT
cana-6006	460	16	ich	ich	NOUN
cana-6006	460	17	)	)	PUNCT
cana-6006	460	18	using	use	VERB
cana-6006	460	19	resnet	resnet	NOUN
cana-6006	460	20	with	with	ADP
cana-6006	460	21	data	datum	NOUN
cana-6006	460	22	augmentation	augmentation	NOUN
cana-6006	460	23	using	use	VERB
cana-6006	460	24	cyclegan	cyclegan	NOUN
cana-6006	460	25	and	and	CCONJ
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cana-6006	460	27	segmentation	segmentation	NOUN
cana-6006	460	28	using	use	VERB
cana-6006	460	29	segan	segan	NOUN
cana-6006	460	30	,	,	PUNCT
cana-6006	460	31	"	"	PUNCT
cana-6006	460	32	multimedia	multimedia	NOUN
cana-6006	460	33	tools	tool	NOUN
cana-6006	460	34	appl	appl	NOUN
cana-6006	460	35	.	.	PUNCT
cana-6006	460	36	,	,	PUNCT
cana-6006	460	37	vol	vol	NOUN
cana-6006	460	38	.	.	PROPN
cana-6006	460	39	81	81	NUM
cana-6006	460	40	,	,	PUNCT
cana-6006	460	41	no	no	INTJ
cana-6006	460	42	.	.	NOUN
cana-6006	460	43	25	25	NUM
cana-6006	460	44	,	,	PUNCT
cana-6006	460	45	pp	pp	ADJ
cana-6006	460	46	.	.	PUNCT
cana-6006	460	47	36257–36273	36257–36273	NUM
cana-6006	460	48	,	,	PUNCT
cana-6006	460	49	2022	2022	NUM
cana-6006	460	50	.	.	PUNCT
cana-6006	461	1	[	[	X
cana-6006	461	2	11	11	NUM
cana-6006	461	3	]	]	PUNCT
cana-6006	461	4	r.	r.	PROPN
cana-6006	461	5	islam	islam	PROPN
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cana-6006	461	7	a.	a.	PROPN
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cana-6006	461	14	,	,	PUNCT
cana-6006	461	15	"	"	PUNCT
cana-6006	461	16	a	a	DET
cana-6006	461	17	fine	fine	ADJ
cana-6006	461	18	-	-	PUNCT
cana-6006	461	19	tune	tune	NOUN
cana-6006	461	20	robust	robust	ADJ
cana-6006	461	21	transfer	transfer	NOUN
cana-6006	461	22	learning	learning	NOUN
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cana-6006	461	24	approach	approach	NOUN
cana-6006	461	25	for	for	ADP
cana-6006	461	26	brain	brain	NOUN
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cana-6006	461	30	vgg-16	vgg-16	NOUN
cana-6006	461	31	,	,	PUNCT
cana-6006	461	32	"	"	PUNCT
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cana-6006	462	1	electr	electr	PROPN
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cana-6006	463	2	.	.	PUNCT
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cana-6006	464	2	.	.	PUNCT
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cana-6006	464	5	.	.	PROPN
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cana-6006	465	2	,	,	PUNCT
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cana-6006	465	5	6	6	NUM
cana-6006	465	6	,	,	PUNCT
cana-6006	465	7	pp	pp	ADJ
cana-6006	465	8	.	.	PUNCT
cana-6006	466	1	3861	3861	NUM
cana-6006	466	2	–	–	PUNCT
cana-6006	466	3	3868	3868	NUM
cana-6006	466	4	,	,	PUNCT
cana-6006	466	5	2023	2023	NUM
cana-6006	466	6	.	.	PUNCT
cana-6006	467	1	[	[	X
cana-6006	467	2	12	12	NUM
cana-6006	467	3	]	]	PUNCT
cana-6006	467	4	s.	s.	PROPN
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cana-6006	467	7	b.	b.	PROPN
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cana-6006	467	10	"	"	PUNCT
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cana-6006	467	13	-	-	PUNCT
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cana-6006	467	17	for	for	ADP
cana-6006	467	18	elevated	elevated	ADJ
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cana-6006	467	20	in	in	ADP
cana-6006	467	21	powdery	powdery	ADJ
cana-6006	467	22	mildew	mildew	NOUN
cana-6006	467	23	disease	disease	NOUN
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cana-6006	467	25	,	,	PUNCT
cana-6006	467	26	"	"	PUNCT
cana-6006	467	27	in	in	ADP
cana-6006	467	28	proc	proc	NOUN
cana-6006	467	29	.	.	PUNCT
cana-6006	468	1	2024	2024	NUM
cana-6006	468	2	3rd	3rd	ADJ
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cana-6006	468	4	.	.	PUNCT
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cana-6006	469	2	.	.	PUNCT
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cana-6006	470	3	.	.	PUNCT
cana-6006	471	1	(	(	PUNCT
cana-6006	471	2	inocon	inocon	NOUN
cana-6006	471	3	)	)	PUNCT
cana-6006	471	4	,	,	PUNCT
cana-6006	471	5	pp	pp	ADV
cana-6006	471	6	.	.	PUNCT
cana-6006	472	1	1–6	1–6	NUM
cana-6006	472	2	,	,	PUNCT
cana-6006	472	3	mar	mar	PROPN
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cana-6006	472	5	2024	2024	NUM
cana-6006	472	6	.	.	PUNCT
cana-6006	473	1	[	[	X
cana-6006	473	2	13	13	NUM
cana-6006	473	3	]	]	X
cana-6006	473	4	s.	s.	PROPN
cana-6006	473	5	tiwari	tiwari	PROPN
cana-6006	473	6	et	et	PROPN
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cana-6006	473	9	,	,	PUNCT
cana-6006	473	10	"	"	PUNCT
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cana-6006	473	14	on	on	ADP
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cana-6006	473	19	convolutional	convolutional	ADJ
cana-6006	473	20	neural	neural	ADJ
cana-6006	473	21	networks	network	NOUN
cana-6006	473	22	in	in	ADP
cana-6006	473	23	medical	medical	ADJ
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cana-6006	473	25	,	,	PUNCT
cana-6006	473	26	"	"	PUNCT
cana-6006	473	27	eng	eng	PROPN
cana-6006	473	28	.	.	PUNCT
cana-6006	473	29	proc	proc	PROPN
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cana-6006	473	32	vol	vol	NOUN
cana-6006	473	33	.	.	PROPN
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cana-6006	474	2	,	,	PUNCT
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cana-6006	474	4	.	.	NOUN
cana-6006	474	5	1	1	NUM
cana-6006	474	6	,	,	PUNCT
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cana-6006	474	9	,	,	PUNCT
cana-6006	474	10	2023	2023	NUM
cana-6006	474	11	.	.	PUNCT
cana-6006	475	1	[	[	X
cana-6006	475	2	14	14	NUM
cana-6006	475	3	]	]	X
cana-6006	475	4	q.	q.	PROPN
cana-6006	475	5	t.	t.	PROPN
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cana-6006	475	21	segmentation	segmentation	NOUN
cana-6006	475	22	from	from	ADP
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cana-6006	475	26	,	,	PUNCT
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cana-6006	475	28	j.	j.	PROPN
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cana-6006	475	34	,	,	PUNCT
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cana-6006	475	43	.	.	PUNCT
cana-6006	476	1	[	[	X
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cana-6006	476	3	]	]	X
cana-6006	476	4	t.	t.	PROPN
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cana-6006	476	30	.	.	PUNCT
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cana-6006	479	1	[	[	X
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cana-6006	480	7	:	:	PUNCT
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cana-6006	481	2	(	(	PUNCT
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cana-6006	481	4	)	)	PUNCT
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cana-6006	484	6	:	:	PUNCT
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cana-6006	486	1	[	[	X
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cana-6006	486	34	:	:	PUNCT
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cana-6006	494	1	(	(	PUNCT
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cana-6006	496	3	]	]	PUNCT
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cana-6006	497	11	cnn	cnn	PROPN
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cana-6006	497	19	"	"	PUNCT
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cana-6006	499	3	]	]	X
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cana-6006	499	41	]	]	PUNCT
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cana-6006	500	3	]	]	PUNCT
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cana-6006	502	8	"	"	PUNCT
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cana-6006	512	5	.	.	PUNCT
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cana-6006	513	2	-	-	NOUN
cana-6006	513	3	ghamry	ghamry	NOUN
cana-6006	513	4	,	,	PUNCT
cana-6006	513	5	s.	s.	PROPN
cana-6006	513	6	ismail	ismail	PROPN
cana-6006	513	7	,	,	PUNCT
cana-6006	513	8	and	and	CCONJ
cana-6006	513	9	y.	y.	PROPN
cana-6006	513	10	a.	a.	PROPN
cana-6006	513	11	ali	ali	PROPN
cana-6006	513	12	,	,	PUNCT
cana-6006	513	13	"	"	PUNCT
cana-6006	513	14	hemorrhage	hemorrhage	NOUN
cana-6006	513	15	detection	detection	NOUN
cana-6006	513	16	in	in	ADP
cana-6006	513	17	ct	ct	NUM
cana-6006	513	18	brain	brain	NOUN
cana-6006	513	19	images	image	NOUN
cana-6006	513	20	using	use	VERB
cana-6006	513	21	hybrid	hybrid	ADJ
cana-6006	513	22	machine	machine	NOUN
cana-6006	513	23	learning	learning	NOUN
cana-6006	513	24	approaches	approach	NOUN
cana-6006	513	25	,	,	PUNCT
cana-6006	513	26	"	"	PUNCT
cana-6006	513	27	ieee	ieee	NOUN
cana-6006	513	28	transactions	transaction	NOUN
cana-6006	513	29	on	on	ADP
cana-6006	513	30	biomedical	biomedical	ADJ
cana-6006	513	31	engineering	engineering	NOUN
cana-6006	513	32	,	,	PUNCT
cana-6006	513	33	vol	vol	NOUN
cana-6006	513	34	.	.	PROPN
cana-6006	514	1	68	68	NUM
cana-6006	514	2	,	,	PUNCT
cana-6006	514	3	no	no	INTJ
cana-6006	514	4	.	.	NOUN
cana-6006	514	5	7	7	NUM
cana-6006	514	6	,	,	PUNCT
cana-6006	514	7	pp	pp	ADJ
cana-6006	514	8	.	.	PUNCT
cana-6006	515	1	2047–2056	2047–2056	NUM
cana-6006	515	2	,	,	PUNCT
cana-6006	515	3	july	july	PROPN
cana-6006	515	4	2021	2021	NUM
cana-6006	515	5	.	.	PUNCT
cana-6006	516	1	[	[	X
cana-6006	516	2	31	31	NUM
cana-6006	516	3	]	]	PUNCT
cana-6006	516	4	a.	a.	NOUN
cana-6006	516	5	singh	singh	PROPN
cana-6006	516	6	,	,	PUNCT
cana-6006	516	7	s.	s.	PROPN
cana-6006	516	8	yadav	yadav	PROPN
cana-6006	516	9	,	,	PUNCT
cana-6006	516	10	and	and	CCONJ
cana-6006	516	11	p.	p.	PROPN
cana-6006	516	12	singh	singh	PROPN
cana-6006	516	13	,	,	PUNCT
cana-6006	516	14	"	"	PUNCT
cana-6006	516	15	3d	3d	NUM
cana-6006	516	16	convolutional	convolutional	ADJ
cana-6006	516	17	neural	neural	ADJ
cana-6006	516	18	networks	network	NOUN
cana-6006	516	19	for	for	ADP
cana-6006	516	20	hemorrhage	hemorrhage	NOUN
cana-6006	516	21	detection	detection	NOUN
cana-6006	516	22	in	in	ADP
cana-6006	516	23	ct	ct	PROPN
cana-6006	516	24	scans	scan	NOUN
cana-6006	516	25	,	,	PUNCT
cana-6006	516	26	"	"	PUNCT
cana-6006	516	27	ieee	ieee	NOUN
cana-6006	516	28	access	access	NOUN
cana-6006	516	29	,	,	PUNCT
cana-6006	516	30	vol	vol	NOUN
cana-6006	516	31	.	.	NOUN
cana-6006	516	32	9	9	NUM
cana-6006	516	33	,	,	PUNCT
cana-6006	516	34	pp	pp	ADJ
cana-6006	516	35	.	.	PUNCT
cana-6006	517	1	58974–58983	58974–58983	NUM
cana-6006	517	2	,	,	PUNCT
cana-6006	517	3	2021	2021	NUM
cana-6006	517	4	.	.	PUNCT
cana-6006	518	1	[	[	X
cana-6006	518	2	32	32	NUM
cana-6006	518	3	]	]	PUNCT
cana-6006	518	4	d.	d.	PROPN
cana-6006	518	5	roy	roy	PROPN
cana-6006	518	6	,	,	PUNCT
cana-6006	518	7	r.	r.	PROPN
cana-6006	518	8	basak	basak	PROPN
cana-6006	518	9	,	,	PUNCT
cana-6006	518	10	and	and	CCONJ
cana-6006	518	11	s.	s.	PROPN
cana-6006	518	12	roy	roy	PROPN
cana-6006	518	13	,	,	PUNCT
cana-6006	518	14	"	"	PUNCT
cana-6006	518	15	comparative	comparative	ADJ
cana-6006	518	16	study	study	NOUN
cana-6006	518	17	of	of	ADP
cana-6006	518	18	detection	detection	NOUN
cana-6006	518	19	of	of	ADP
cana-6006	518	20	brain	brain	NOUN
cana-6006	518	21	hemorrhage	hemorrhage	NOUN
cana-6006	518	22	using	use	VERB
cana-6006	518	23	ml	ml	NOUN
cana-6006	518	24	models	model	NOUN
cana-6006	518	25	,	,	PUNCT
cana-6006	518	26	"	"	PUNCT
cana-6006	518	27	ieee	ieee	NOUN
cana-6006	518	28	internet	internet	NOUN
cana-6006	518	29	of	of	ADP
cana-6006	518	30	things	thing	NOUN
cana-6006	518	31	journal	journal	NOUN
cana-6006	518	32	,	,	PUNCT
cana-6006	518	33	vol	vol	NOUN
cana-6006	518	34	.	.	PROPN
cana-6006	518	35	8	8	NUM
cana-6006	518	36	,	,	PUNCT
cana-6006	518	37	no	no	INTJ
cana-6006	518	38	.	.	NOUN
cana-6006	518	39	12	12	NUM
cana-6006	518	40	,	,	PUNCT
cana-6006	518	41	pp	pp	ADJ
cana-6006	518	42	.	.	PUNCT
cana-6006	519	1	9870–9881	9870–9881	NUM
cana-6006	519	2	,	,	PUNCT
cana-6006	519	3	june	june	PROPN
cana-6006	519	4	2021	2021	NUM
cana-6006	519	5	.	.	PUNCT
cana-6006	520	1	[	[	X
cana-6006	520	2	33	33	NUM
cana-6006	520	3	]	]	PUNCT
cana-6006	520	4	.	.	PUNCT
cana-6006	521	1	m.	m.	PROPN
cana-6006	521	2	ali	ali	PROPN
cana-6006	521	3	,	,	PUNCT
cana-6006	521	4	l.	l.	PROPN
cana-6006	521	5	javed	javed	PROPN
cana-6006	521	6	,	,	PUNCT
cana-6006	521	7	and	and	CCONJ
cana-6006	521	8	t.	t.	PROPN
cana-6006	521	9	maqsood	maqsood	PROPN
cana-6006	521	10	,	,	PUNCT
cana-6006	521	11	"	"	PUNCT
cana-6006	521	12	implementation	implementation	NOUN
cana-6006	521	13	of	of	ADP
cana-6006	521	14	blockchain	blockchain	PROPN
cana-6006	521	15	for	for	ADP
cana-6006	521	16	privacy	privacy	NOUN
cana-6006	521	17	preservation	preservation	NOUN
cana-6006	521	18	in	in	ADP
cana-6006	521	19	brain	brain	NOUN
cana-6006	521	20	hemorrhage	hemorrhage	NOUN
cana-6006	521	21	detection	detection	NOUN
cana-6006	521	22	models	model	NOUN
cana-6006	521	23	,	,	PUNCT
cana-6006	521	24	"	"	PUNCT
cana-6006	521	25	ieee	ieee	NOUN
cana-6006	521	26	access	access	NOUN
cana-6006	521	27	,	,	PUNCT
cana-6006	521	28	vol	vol	NOUN
cana-6006	521	29	.	.	NOUN
cana-6006	521	30	9	9	NUM
cana-6006	521	31	,	,	PUNCT
cana-6006	521	32	pp	pp	ADJ
cana-6006	521	33	.	.	PUNCT
cana-6006	522	1	21345–21356	21345–21356	NOUN
cana-6006	522	2	,	,	PUNCT
cana-6006	522	3	2021	2021	NUM
cana-6006	522	4	.	.	PUNCT
cana-6006	523	1	33	33	NUM
cana-6006	523	2	.	.	PUNCT
cana-6006	524	1	f.	f.	PROPN
cana-6006	524	2	liu	liu	PROPN
cana-6006	524	3	,	,	PUNCT
cana-6006	524	4	communications	communication	NOUN
cana-6006	524	5	on	on	ADP
cana-6006	524	6	applied	apply	VERB
cana-6006	524	7	nonlinear	nonlinear	ADJ
cana-6006	524	8	analysis	analysis	NOUN
cana-6006	524	9	issn	issn	NOUN
cana-6006	524	10	:	:	PUNCT
cana-6006	524	11	1074	1074	NUM
cana-6006	524	12	-	-	PUNCT
cana-6006	524	13	133x	133x	NUM
cana-6006	524	14	vol	vol	VERB
cana-6006	524	15	32	32	NUM
cana-6006	524	16	no	no	NOUN
cana-6006	524	17	.	.	PUNCT
cana-6006	525	1	10s	10	NOUN
cana-6006	525	2	(	(	PUNCT
cana-6006	525	3	2025	2025	NUM
cana-6006	525	4	)	)	PUNCT
cana-6006	525	5	3225	3225	NUM
cana-6006	525	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6006	525	7	l.	l.	PROPN
cana-6006	525	8	gao	gao	PROPN
cana-6006	525	9	,	,	PUNCT
cana-6006	525	10	and	and	CCONJ
cana-6006	525	11	x.	x.	NOUN
cana-6006	525	12	wang	wang	PROPN
cana-6006	525	13	,	,	PUNCT
cana-6006	525	14	"	"	PUNCT
cana-6006	525	15	federated	federated	ADJ
cana-6006	525	16	learning	learning	NOUN
cana-6006	525	17	for	for	ADP
cana-6006	525	18	brain	brain	NOUN
cana-6006	525	19	hemorrhage	hemorrhage	NOUN
cana-6006	525	20	detection	detection	NOUN
cana-6006	525	21	across	across	ADP
cana-6006	525	22	multiple	multiple	ADJ
cana-6006	525	23	institutions	institution	NOUN
cana-6006	525	24	,	,	PUNCT
cana-6006	525	25	"	"	PUNCT
cana-6006	525	26	ieee	ieee	NOUN
cana-6006	525	27	transactions	transaction	NOUN
cana-6006	525	28	on	on	ADP
cana-6006	525	29	big	big	ADJ
cana-6006	525	30	data	datum	NOUN
cana-6006	525	31	,	,	PUNCT
cana-6006	525	32	vol	vol	NOUN
cana-6006	525	33	.	.	PROPN
cana-6006	525	34	7	7	NUM
cana-6006	525	35	,	,	PUNCT
cana-6006	525	36	no	no	INTJ
cana-6006	525	37	.	.	NOUN
cana-6006	525	38	2	2	NUM
cana-6006	525	39	,	,	PUNCT
cana-6006	525	40	pp	pp	ADJ
cana-6006	525	41	.	.	PUNCT
cana-6006	526	1	345–353	345–353	NUM
cana-6006	526	2	,	,	PUNCT
cana-6006	526	3	june	june	PROPN
cana-6006	526	4	2021	2021	NUM
cana-6006	526	5	.	.	PUNCT
cana-6006	527	1	[	[	X
cana-6006	527	2	34	34	NUM
cana-6006	527	3	]	]	X
cana-6006	527	4	h.	h.	NOUN
cana-6006	527	5	song	song	PROPN
cana-6006	527	6	,	,	PUNCT
cana-6006	527	7	c.	c.	PROPN
cana-6006	527	8	liu	liu	PROPN
cana-6006	527	9	,	,	PUNCT
cana-6006	527	10	and	and	CCONJ
cana-6006	527	11	z.	z.	PROPN
cana-6006	527	12	chen	chen	PROPN
cana-6006	527	13	,	,	PUNCT
cana-6006	527	14	"	"	PUNCT
cana-6006	527	15	transfer	transfer	NOUN
cana-6006	527	16	learning	learning	NOUN
cana-6006	527	17	in	in	ADP
cana-6006	527	18	deep	deep	ADJ
cana-6006	527	19	neural	neural	ADJ
cana-6006	527	20	networks	network	NOUN
cana-6006	527	21	for	for	ADP
cana-6006	527	22	hemorrhage	hemorrhage	NOUN
cana-6006	527	23	detection	detection	NOUN
cana-6006	527	24	,	,	PUNCT
cana-6006	527	25	"	"	PUNCT
cana-6006	527	26	ieee	ieee	NOUN
cana-6006	527	27	transactions	transaction	NOUN
cana-6006	527	28	on	on	ADP
cana-6006	527	29	image	image	NOUN
cana-6006	527	30	processing	processing	NOUN
cana-6006	527	31	,	,	PUNCT
cana-6006	527	32	vol	vol	NOUN
cana-6006	527	33	.	.	PROPN
cana-6006	527	34	30	30	NUM
cana-6006	527	35	,	,	PUNCT
cana-6006	527	36	pp	pp	ADJ
cana-6006	527	37	.	.	PUNCT
cana-6006	528	1	2157–2167	2157–2167	NUM
cana-6006	528	2	,	,	PUNCT
cana-6006	528	3	jan	jan	PROPN
cana-6006	528	4	.	.	PROPN
cana-6006	528	5	2021	2021	NUM
cana-6006	528	6	.	.	PUNCT
cana-6006	529	1	[	[	X
cana-6006	529	2	35	35	NUM
cana-6006	529	3	]	]	X
cana-6006	529	4	b.	b.	PROPN
cana-6006	529	5	wilson	wilson	PROPN
cana-6006	529	6	,	,	PUNCT
cana-6006	529	7	r.	r.	PROPN
cana-6006	529	8	choudhary	choudhary	PROPN
cana-6006	529	9	,	,	PUNCT
cana-6006	529	10	and	and	CCONJ
cana-6006	529	11	a.	a.	PROPN
cana-6006	529	12	smith	smith	PROPN
cana-6006	529	13	,	,	PUNCT
cana-6006	529	14	"	"	PUNCT
cana-6006	529	15	ensemble	ensemble	ADJ
cana-6006	529	16	methods	method	NOUN
cana-6006	529	17	for	for	ADP
cana-6006	529	18	enhanced	enhanced	ADJ
cana-6006	529	19	brain	brain	NOUN
cana-6006	529	20	hemorrhage	hemorrhage	NOUN
cana-6006	529	21	detection	detection	NOUN
cana-6006	529	22	in	in	ADP
cana-6006	529	23	medical	medical	ADJ
cana-6006	529	24	imaging	imaging	NOUN
cana-6006	529	25	,	,	PUNCT
cana-6006	529	26	"	"	PUNCT
cana-6006	529	27	ieee	ieee	NOUN
cana-6006	529	28	access	access	NOUN
cana-6006	529	29	,	,	PUNCT
cana-6006	529	30	vol	vol	NOUN
cana-6006	529	31	.	.	PROPN
cana-6006	529	32	8	8	NUM
cana-6006	529	33	,	,	PUNCT
cana-6006	529	34	pp	pp	ADJ
cana-6006	529	35	.	.	PUNCT
cana-6006	530	1	114932–114943	114932–114943	NUM
cana-6006	530	2	,	,	PUNCT
cana-6006	530	3	2020	2020	NUM
cana-6006	530	4	.	.	PUNCT
cana-6006	531	1	[	[	X
cana-6006	531	2	36	36	NUM
cana-6006	531	3	]	]	X
cana-6006	531	4	p.	p.	PROPN
cana-6006	531	5	c.	c.	PROPN
cana-6006	531	6	lim	lim	PROPN
cana-6006	531	7	,	,	PUNCT
cana-6006	531	8	j.	j.	PROPN
cana-6006	531	9	w.	w.	PROPN
cana-6006	531	10	kim	kim	PROPN
cana-6006	531	11	,	,	PUNCT
cana-6006	531	12	and	and	CCONJ
cana-6006	531	13	h.	h.	PROPN
cana-6006	531	14	s.	s.	PROPN
cana-6006	531	15	kim	kim	PROPN
cana-6006	531	16	,	,	PUNCT
cana-6006	531	17	"	"	PUNCT
cana-6006	531	18	a	a	DET
cana-6006	531	19	lightweight	lightweight	ADJ
cana-6006	531	20	cnn	cnn	NOUN
cana-6006	531	21	-	-	PUNCT
cana-6006	531	22	based	base	VERB
cana-6006	531	23	approach	approach	NOUN
cana-6006	531	24	for	for	ADP
cana-6006	531	25	brain	brain	NOUN
cana-6006	531	26	hemorrhage	hemorrhage	NOUN
cana-6006	531	27	detection	detection	NOUN
cana-6006	531	28	using	use	VERB
cana-6006	531	29	edge	edge	NOUN
cana-6006	531	30	computing	computing	NOUN
cana-6006	531	31	,	,	PUNCT
cana-6006	531	32	"	"	PUNCT
cana-6006	531	33	ieee	ieee	NOUN
cana-6006	531	34	internet	internet	NOUN
cana-6006	531	35	of	of	ADP
cana-6006	531	36	things	thing	NOUN
cana-6006	531	37	journal	journal	NOUN
cana-6006	531	38	,	,	PUNCT
cana-6006	531	39	vol	vol	NOUN
cana-6006	531	40	.	.	PROPN
cana-6006	531	41	7	7	NUM
cana-6006	531	42	,	,	PUNCT
cana-6006	531	43	no	no	INTJ
cana-6006	531	44	.	.	NOUN
cana-6006	531	45	7	7	NUM
cana-6006	531	46	,	,	PUNCT
cana-6006	531	47	pp	pp	ADJ
cana-6006	531	48	.	.	PUNCT
cana-6006	532	1	6397–6404	6397–6404	NOUN
cana-6006	532	2	,	,	PUNCT
cana-6006	532	3	july	july	PROPN
cana-6006	532	4	2020	2020	NUM
cana-6006	532	5	.	.	PUNCT
cana-6006	533	1	[	[	X
cana-6006	533	2	37	37	NUM
cana-6006	533	3	]	]	PUNCT
cana-6006	533	4	a.	a.	NOUN
cana-6006	533	5	kumar	kumar	PROPN
cana-6006	533	6	,	,	PUNCT
cana-6006	533	7	s.	s.	PROPN
cana-6006	533	8	gupta	gupta	PROPN
cana-6006	533	9	,	,	PUNCT
cana-6006	533	10	and	and	CCONJ
cana-6006	533	11	m.	m.	PROPN
cana-6006	533	12	s.	s.	PROPN
cana-6006	533	13	mann	mann	PROPN
cana-6006	533	14	,	,	PUNCT
cana-6006	533	15	"	"	PUNCT
cana-6006	533	16	automated	automate	VERB
cana-6006	533	17	detection	detection	NOUN
cana-6006	533	18	of	of	ADP
cana-6006	533	19	intracranial	intracranial	ADJ
cana-6006	533	20	hemorrhage	hemorrhage	NOUN
cana-6006	533	21	using	use	VERB
cana-6006	533	22	deep	deep	ADJ
cana-6006	533	23	learning	learning	NOUN
cana-6006	533	24	techniques	technique	NOUN
cana-6006	533	25	,	,	PUNCT
cana-6006	533	26	"	"	PUNCT
cana-6006	533	27	ieee	ieee	NOUN
cana-6006	533	28	access	access	NOUN
cana-6006	533	29	,	,	PUNCT
cana-6006	533	30	vol	vol	NOUN
cana-6006	533	31	.	.	PROPN
cana-6006	533	32	8	8	NUM
cana-6006	533	33	,	,	PUNCT
cana-6006	533	34	pp	pp	ADJ
cana-6006	533	35	.	.	PUNCT
cana-6006	533	36	198922–198931	198922–198931	NUM
cana-6006	533	37	,	,	PUNCT
cana-6006	533	38	2020	2020	NUM
cana-6006	533	39	.	.	PUNCT
cana-6006	534	1	[	[	X
cana-6006	534	2	38	38	NUM
cana-6006	534	3	]	]	PUNCT
cana-6006	534	4	t.	t.	PROPN
cana-6006	534	5	zhang	zhang	PROPN
cana-6006	534	6	,	,	PUNCT
cana-6006	534	7	y.	y.	PROPN
cana-6006	534	8	chen	chen	PROPN
cana-6006	534	9	,	,	PUNCT
cana-6006	534	10	and	and	CCONJ
cana-6006	534	11	w.	w.	PROPN
cana-6006	534	12	xu	xu	PROPN
cana-6006	534	13	,	,	PUNCT
cana-6006	534	14	"	"	PUNCT
cana-6006	534	15	adaptive	adaptive	ADJ
cana-6006	534	16	cnn	cnn	NOUN
cana-6006	534	17	model	model	NOUN
cana-6006	534	18	for	for	ADP
cana-6006	534	19	detecting	detect	VERB
cana-6006	534	20	hemorrhages	hemorrhage	NOUN
cana-6006	534	21	in	in	ADP
cana-6006	534	22	ct	ct	PROPN
cana-6006	534	23	scans	scan	NOUN
cana-6006	534	24	,	,	PUNCT
cana-6006	534	25	"	"	PUNCT
cana-6006	534	26	ieee	ieee	NOUN
cana-6006	534	27	transactions	transaction	NOUN
cana-6006	534	28	on	on	ADP
cana-6006	534	29	neural	neural	ADJ
cana-6006	534	30	networks	network	NOUN
cana-6006	534	31	and	and	CCONJ
cana-6006	534	32	learning	learning	NOUN
cana-6006	534	33	systems	system	NOUN
cana-6006	534	34	,	,	PUNCT
cana-6006	534	35	vol	vol	NOUN
cana-6006	534	36	.	.	PROPN
cana-6006	534	37	31	31	NUM
cana-6006	534	38	,	,	PUNCT
cana-6006	534	39	no	no	INTJ
cana-6006	534	40	.	.	NOUN
cana-6006	534	41	11	11	NUM
cana-6006	534	42	,	,	PUNCT
cana-6006	534	43	pp	pp	ADJ
cana-6006	534	44	.	.	PUNCT
cana-6006	534	45	4624–4634	4624–4634	NUM
cana-6006	534	46	,	,	PUNCT
cana-6006	534	47	nov	nov	PROPN
cana-6006	534	48	.	.	PROPN
cana-6006	534	49	2020	2020	NUM
cana-6006	534	50	.	.	PUNCT
cana-6006	535	1	[	[	X
cana-6006	535	2	39	39	NUM
cana-6006	535	3	]	]	PUNCT
cana-6006	535	4	j.	j.	PROPN
cana-6006	535	5	wang	wang	PROPN
cana-6006	535	6	,	,	PUNCT
cana-6006	535	7	l.	l.	PROPN
cana-6006	535	8	sun	sun	PROPN
cana-6006	535	9	,	,	PUNCT
cana-6006	535	10	and	and	CCONJ
cana-6006	535	11	y.	y.	PROPN
cana-6006	535	12	zhao	zhao	PROPN
cana-6006	535	13	,	,	PUNCT
cana-6006	535	14	"	"	PUNCT
cana-6006	535	15	explainable	explainable	ADJ
cana-6006	535	16	ai	ai	VERB
cana-6006	535	17	in	in	ADP
cana-6006	535	18	medical	medical	ADJ
cana-6006	535	19	imaging	imaging	NOUN
cana-6006	535	20	:	:	PUNCT
cana-6006	535	21	enhancing	enhance	VERB
cana-6006	535	22	the	the	DET
cana-6006	535	23	detection	detection	NOUN
cana-6006	535	24	of	of	ADP
cana-6006	535	25	brain	brain	NOUN
cana-6006	535	26	hemorrhage	hemorrhage	NOUN
cana-6006	535	27	using	use	VERB
cana-6006	535	28	deep	deep	ADJ
cana-6006	535	29	learning	learning	NOUN
cana-6006	535	30	,	,	PUNCT
cana-6006	535	31	"	"	PUNCT
cana-6006	535	32	ieee	ieee	NOUN
cana-6006	535	33	transactions	transaction	NOUN
cana-6006	535	34	on	on	ADP
cana-6006	535	35	medical	medical	ADJ
cana-6006	535	36	imaging	imaging	NOUN
cana-6006	535	37	,	,	PUNCT
cana-6006	535	38	vol	vol	NOUN
cana-6006	535	39	.	.	PROPN
cana-6006	535	40	39	39	NUM
cana-6006	535	41	,	,	PUNCT
cana-6006	535	42	no	no	INTJ
cana-6006	535	43	.	.	NOUN
cana-6006	535	44	12	12	NUM
cana-6006	535	45	,	,	PUNCT
cana-6006	535	46	pp	pp	ADJ
cana-6006	535	47	.	.	PUNCT
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cana-6006	536	2	,	,	PUNCT
cana-6006	536	3	dec	dec	PROPN
cana-6006	536	4	.	.	PROPN
cana-6006	536	5	2020	2020	NUM
cana-6006	537	1	[	[	X
cana-6006	537	2	40	40	NUM
cana-6006	537	3	]	]	X
cana-6006	537	4	y.	y.	PROPN
cana-6006	537	5	li	li	PROPN
cana-6006	537	6	,	,	PUNCT
cana-6006	537	7	x.	x.	PROPN
cana-6006	537	8	zhang	zhang	PROPN
cana-6006	537	9	,	,	PUNCT
cana-6006	537	10	and	and	CCONJ
cana-6006	537	11	m.	m.	PROPN
cana-6006	537	12	wang	wang	PROPN
cana-6006	537	13	,	,	PUNCT
cana-6006	537	14	"	"	PUNCT
cana-6006	537	15	attention	attention	NOUN
cana-6006	537	16	-	-	PUNCT
cana-6006	537	17	based	base	VERB
cana-6006	537	18	deep	deep	ADJ
cana-6006	537	19	learning	learning	NOUN
cana-6006	537	20	framework	framework	NOUN
cana-6006	537	21	for	for	ADP
cana-6006	537	22	automatic	automatic	ADJ
cana-6006	537	23	detection	detection	NOUN
cana-6006	537	24	of	of	ADP
cana-6006	537	25	intracranial	intracranial	ADJ
cana-6006	537	26	hemorrhage	hemorrhage	NOUN
cana-6006	537	27	in	in	ADP
cana-6006	537	28	head	head	NOUN
cana-6006	537	29	ct	ct	PROPN
cana-6006	537	30	scans	scan	NOUN
cana-6006	537	31	,	,	PUNCT
cana-6006	537	32	"	"	PUNCT
cana-6006	537	33	ieee	ieee	NOUN
cana-6006	537	34	transactions	transaction	NOUN
cana-6006	537	35	on	on	ADP
cana-6006	537	36	medical	medical	ADJ
cana-6006	537	37	imaging	imaging	NOUN
cana-6006	537	38	,	,	PUNCT
cana-6006	537	39	vol	vol	NOUN
cana-6006	537	40	.	.	PROPN
cana-6006	538	1	42	42	NUM
cana-6006	538	2	,	,	PUNCT
cana-6006	538	3	no	no	INTJ
cana-6006	538	4	.	.	NOUN
cana-6006	538	5	2	2	NUM
cana-6006	538	6	,	,	PUNCT
cana-6006	538	7	pp	pp	ADJ
cana-6006	538	8	.	.	PUNCT
cana-6006	539	1	378	378	NUM
cana-6006	539	2	389	389	NUM
cana-6006	539	3	,	,	PUNCT
cana-6006	539	4	feb	feb	PROPN
cana-6006	539	5	.	.	PROPN
cana-6006	539	6	2020	2020	NUM
cana-6006	539	7	.	.	PUNCT
cana-6006	540	1	[	[	X
cana-6006	540	2	41	41	NUM
cana-6006	540	3	]	]	X
cana-6006	540	4	https://www.kaggle.com/datasets/perisrajkc/brain-hemorrhage-detection	https://www.kaggle.com/datasets/perisrajkc/brain-hemorrhage-detection	NOUN
cana-6006	540	5	https://www.kaggle.com/datasets/perisrajkc/brain-hemorrhage-detection	https://www.kaggle.com/datasets/perisrajkc/brain-hemorrhage-detection	NOUN