id	sid	tid	token	lemma	pos
cana-5765	1	1	communications	communication	NOUN
cana-5765	1	2	on	on	ADP
cana-5765	1	3	applied	apply	VERB
cana-5765	1	4	nonlinear	nonlinear	ADJ
cana-5765	1	5	analysis	analysis	NOUN
cana-5765	1	6	issn	issn	NOUN
cana-5765	1	7	:	:	PUNCT
cana-5765	1	8	1074	1074	NUM
cana-5765	1	9	-	-	PUNCT
cana-5765	1	10	133x	133x	NUM
cana-5765	1	11	vol	vol	NOUN
cana-5765	1	12	32	32	NUM
cana-5765	1	13	no	no	NOUN
cana-5765	1	14	.	.	PUNCT
cana-5765	2	1	3s	3s	NUM
cana-5765	2	2	(	(	PUNCT
cana-5765	2	3	2025	2025	NUM
cana-5765	2	4	)	)	PUNCT
cana-5765	2	5	879	879	NUM
cana-5765	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5765	2	7	revolutionizing	revolutionize	VERB
cana-5765	2	8	stroke	stroke	NOUN
cana-5765	2	9	detection	detection	NOUN
cana-5765	2	10	machine	machine	NOUN
cana-5765	2	11	learning	learn	VERB
cana-5765	2	12	diagnostic	diagnostic	ADJ
cana-5765	2	13	models	model	NOUN
cana-5765	2	14	leveraging	leverage	VERB
cana-5765	2	15	neuroimages	neuroimage	NOUN
cana-5765	2	16	swetha	swetha	PROPN
cana-5765	2	17	bikkumalla1	bikkumalla1	PROPN
cana-5765	3	1	dr	dr	PROPN
cana-5765	3	2	.	.	PROPN
cana-5765	3	3	d.	d.	PROPN
cana-5765	3	4	radha2	radha2	PROPN
cana-5765	3	5	dr.m.sambasivudu3	dr.m.sambasivudu3	PROPN
cana-5765	3	6	1research	1research	NUM
cana-5765	3	7	scholar	scholar	NOUN
cana-5765	3	8	,	,	PUNCT
cana-5765	3	9	dept	dept	NOUN
cana-5765	3	10	.	.	PROPN
cana-5765	3	11	of	of	ADP
cana-5765	3	12	computer	computer	NOUN
cana-5765	3	13	science	science	NOUN
cana-5765	3	14	and	and	CCONJ
cana-5765	3	15	engineering	engineering	NOUN
cana-5765	3	16	,	,	PUNCT
cana-5765	3	17	mallareddy	mallareddy	ADJ
cana-5765	3	18	college	college	NOUN
cana-5765	3	19	of	of	ADP
cana-5765	3	20	engineering	engineering	NOUN
cana-5765	3	21	&	&	CCONJ
cana-5765	3	22	technology	technology	PROPN
cana-5765	3	23	,	,	PUNCT
cana-5765	3	24	hyderabad	hyderabad	PROPN
cana-5765	3	25	,	,	PUNCT
cana-5765	3	26	telangana	telangana	PROPN
cana-5765	3	27	2associate	2associate	NUM
cana-5765	3	28	professor	professor	NOUN
cana-5765	3	29	,	,	PUNCT
cana-5765	3	30	dept.of	dept.of	NOUN
cana-5765	3	31	computer	computer	NOUN
cana-5765	3	32	science	science	NOUN
cana-5765	3	33	and	and	CCONJ
cana-5765	3	34	engineering	engineering	NOUN
cana-5765	3	35	,	,	PUNCT
cana-5765	3	36	mallareddy	mallareddy	ADJ
cana-5765	3	37	college	college	NOUN
cana-5765	3	38	of	of	ADP
cana-5765	3	39	engineering	engineering	NOUN
cana-5765	3	40	&	&	CCONJ
cana-5765	3	41	technology	technology	PROPN
cana-5765	3	42	,	,	PUNCT
cana-5765	3	43	hyderabad	hyderabad	PROPN
cana-5765	3	44	,	,	PUNCT
cana-5765	3	45	telangana	telangana	PROPN
cana-5765	3	46	3associate	3associate	NUM
cana-5765	3	47	professor	professor	NOUN
cana-5765	3	48	,	,	PUNCT
cana-5765	3	49	dept.of	dept.of	NOUN
cana-5765	3	50	computer	computer	NOUN
cana-5765	3	51	science	science	NOUN
cana-5765	3	52	and	and	CCONJ
cana-5765	3	53	engineering	engineering	NOUN
cana-5765	3	54	,	,	PUNCT
cana-5765	3	55	mallareddy	mallareddy	ADJ
cana-5765	3	56	college	college	NOUN
cana-5765	3	57	of	of	ADP
cana-5765	3	58	engineering	engineering	NOUN
cana-5765	3	59	&	&	CCONJ
cana-5765	3	60	technology	technology	PROPN
cana-5765	3	61	,	,	PUNCT
cana-5765	3	62	hyderabad	hyderabad	PROPN
cana-5765	3	63	,	,	PUNCT
cana-5765	3	64	telangana	telangana	PROPN
cana-5765	3	65	article	article	PROPN
cana-5765	3	66	history	history	NOUN
cana-5765	3	67	:	:	PUNCT
cana-5765	3	68	received	receive	VERB
cana-5765	3	69	:	:	PUNCT
cana-5765	3	70	12	12	NUM
cana-5765	3	71	-	-	SYM
cana-5765	3	72	01	01	NUM
cana-5765	3	73	-	-	PUNCT
cana-5765	3	74	2025	2025	NUM
cana-5765	3	75	revised	revise	VERB
cana-5765	3	76	:	:	PUNCT
cana-5765	3	77	15	15	NUM
cana-5765	3	78	-	-	NUM
cana-5765	3	79	02	02	NUM
cana-5765	3	80	-	-	PUNCT
cana-5765	3	81	2025	2025	NUM
cana-5765	3	82	accepted	accept	VERB
cana-5765	3	83	:	:	PUNCT
cana-5765	3	84	01	01	NUM
cana-5765	3	85	-	-	SYM
cana-5765	3	86	03	03	NUM
cana-5765	3	87	-	-	PUNCT
cana-5765	3	88	2025	2025	NUM
cana-5765	3	89	abstract	abstract	NOUN
cana-5765	3	90	this	this	DET
cana-5765	3	91	brain	brain	NOUN
cana-5765	3	92	stroke	stroke	NOUN
cana-5765	3	93	detection	detection	NOUN
cana-5765	3	94	system	system	NOUN
cana-5765	3	95	streamlines	streamline	NOUN
cana-5765	3	96	and	and	CCONJ
cana-5765	3	97	improves	improve	VERB
cana-5765	3	98	stroke	stroke	NOUN
cana-5765	3	99	diagnosis	diagnosis	NOUN
cana-5765	3	100	by	by	ADP
cana-5765	3	101	utilizing	utilize	VERB
cana-5765	3	102	a	a	DET
cana-5765	3	103	three	three	NUM
cana-5765	3	104	-	-	PUNCT
cana-5765	3	105	layer	layer	NOUN
cana-5765	3	106	convolutional	convolutional	ADJ
cana-5765	3	107	neural	neural	ADJ
cana-5765	3	108	network	network	NOUN
cana-5765	3	109	(	(	PUNCT
cana-5765	3	110	cnn	cnn	PROPN
cana-5765	3	111	)	)	PUNCT
cana-5765	3	112	to	to	PART
cana-5765	3	113	process	process	VERB
cana-5765	3	114	non	non	ADJ
cana-5765	3	115	-	-	ADJ
cana-5765	3	116	contrast	contrast	ADJ
cana-5765	3	117	ct	ct	NUM
cana-5765	3	118	scans	scan	NOUN
cana-5765	3	119	.	.	PUNCT
cana-5765	4	1	the	the	DET
cana-5765	4	2	system	system	NOUN
cana-5765	4	3	is	be	AUX
cana-5765	4	4	developed	develop	VERB
cana-5765	4	5	with	with	ADP
cana-5765	4	6	a	a	DET
cana-5765	4	7	python	python	NOUN
cana-5765	4	8	backend	backend	NOUN
cana-5765	4	9	using	use	VERB
cana-5765	4	10	flask	flask	NOUN
cana-5765	4	11	,	,	PUNCT
cana-5765	4	12	paired	pair	VERB
cana-5765	4	13	with	with	ADP
cana-5765	4	14	a	a	DET
cana-5765	4	15	responsive	responsive	ADJ
cana-5765	4	16	frontend	frontend	NOUN
cana-5765	4	17	built	build	VERB
cana-5765	4	18	on	on	ADP
cana-5765	4	19	html	html	NOUN
cana-5765	4	20	,	,	PUNCT
cana-5765	4	21	css	css	PROPN
cana-5765	4	22	,	,	PUNCT
cana-5765	4	23	and	and	CCONJ
cana-5765	4	24	javascript	javascript	NOUN
cana-5765	4	25	,	,	PUNCT
cana-5765	4	26	providing	provide	VERB
cana-5765	4	27	an	an	DET
cana-5765	4	28	easy	easy	ADJ
cana-5765	4	29	-	-	PUNCT
cana-5765	4	30	to	to	ADP
cana-5765	4	31	-	-	PUNCT
cana-5765	4	32	use	use	NOUN
cana-5765	4	33	interface	interface	NOUN
cana-5765	4	34	for	for	ADP
cana-5765	4	35	clinical	clinical	ADJ
cana-5765	4	36	settings	setting	NOUN
cana-5765	4	37	.	.	PUNCT
cana-5765	5	1	regarding	regard	VERB
cana-5765	5	2	model	model	NOUN
cana-5765	5	3	architecture	architecture	NOUN
cana-5765	5	4	&	&	CCONJ
cana-5765	5	5	performance	performance	NOUN
cana-5765	5	6	,	,	PUNCT
cana-5765	5	7	the	the	DET
cana-5765	5	8	custom	custom	NOUN
cana-5765	5	9	cnn	cnn	PROPN
cana-5765	5	10	model	model	NOUN
cana-5765	5	11	exhibits	exhibit	VERB
cana-5765	5	12	strong	strong	ADJ
cana-5765	5	13	diagnostic	diagnostic	ADJ
cana-5765	5	14	capability	capability	NOUN
cana-5765	5	15	,	,	PUNCT
cana-5765	5	16	achieving	achieve	VERB
cana-5765	5	17	98	98	NUM
cana-5765	5	18	%	%	NOUN
cana-5765	5	19	accuracy	accuracy	NOUN
cana-5765	5	20	on	on	ADP
cana-5765	5	21	training	training	NOUN
cana-5765	5	22	data	datum	NOUN
cana-5765	5	23	and	and	CCONJ
cana-5765	5	24	97	97	NUM
cana-5765	5	25	%	%	NOUN
cana-5765	5	26	on	on	ADP
cana-5765	5	27	validation	validation	NOUN
cana-5765	5	28	,	,	PUNCT
cana-5765	5	29	indicating	indicate	VERB
cana-5765	5	30	high	high	ADJ
cana-5765	5	31	precision	precision	NOUN
cana-5765	5	32	in	in	ADP
cana-5765	5	33	detecting	detect	VERB
cana-5765	5	34	strokerelated	strokerelated	ADJ
cana-5765	5	35	anomalies	anomaly	NOUN
cana-5765	5	36	.	.	PUNCT
cana-5765	6	1	comparable	comparable	ADJ
cana-5765	6	2	studies	study	NOUN
cana-5765	6	3	using	use	VERB
cana-5765	6	4	ensemble	ensemble	ADJ
cana-5765	6	5	cnn	cnn	PROPN
cana-5765	6	6	models	model	NOUN
cana-5765	6	7	—	—	PUNCT
cana-5765	6	8	such	such	ADJ
cana-5765	6	9	as	as	ADP
cana-5765	6	10	combinations	combination	NOUN
cana-5765	6	11	of	of	ADP
cana-5765	6	12	inceptionv3	inceptionv3	NOUN
cana-5765	6	13	,	,	PUNCT
cana-5765	6	14	xception	xception	NOUN
cana-5765	6	15	,	,	PUNCT
cana-5765	6	16	and	and	CCONJ
cana-5765	6	17	mobilenetv2	mobilenetv2	PROPN
cana-5765	6	18	—	—	PUNCT
cana-5765	6	19	have	have	AUX
cana-5765	6	20	shown	show	VERB
cana-5765	6	21	similar	similar	ADJ
cana-5765	6	22	effectiveness	effectiveness	NOUN
cana-5765	6	23	,	,	PUNCT
cana-5765	6	24	reaching	reach	VERB
cana-5765	6	25	98.9	98.9	NUM
cana-5765	6	26	%	%	NOUN
cana-5765	6	27	accuracy	accuracy	NOUN
cana-5765	6	28	,	,	PUNCT
cana-5765	6	29	98.5	98.5	NUM
cana-5765	6	30	%	%	NOUN
cana-5765	6	31	recall	recall	NOUN
cana-5765	6	32	,	,	PUNCT
cana-5765	6	33	and	and	CCONJ
cana-5765	6	34	an	an	DET
cana-5765	6	35	auc	auc	NOUN
cana-5765	6	36	of	of	ADP
cana-5765	6	37	98.7	98.7	NUM
cana-5765	6	38	%	%	NOUN
cana-5765	6	39	on	on	ADP
cana-5765	6	40	related	relate	VERB
cana-5765	6	41	ct	ct	NUM
cana-5765	6	42	datasets	dataset	NOUN
cana-5765	6	43	.	.	PUNCT
cana-5765	7	1	regarding	regard	VERB
cana-5765	7	2	dataset	dataset	NOUN
cana-5765	7	3	&	&	CCONJ
cana-5765	7	4	generalization	generalization	NOUN
cana-5765	7	5	,	,	PUNCT
cana-5765	7	6	training	training	NOUN
cana-5765	7	7	was	be	AUX
cana-5765	7	8	conducted	conduct	VERB
cana-5765	7	9	on	on	ADP
cana-5765	7	10	a	a	DET
cana-5765	7	11	wellbalanced	wellbalanced	ADJ
cana-5765	7	12	dataset	dataset	NOUN
cana-5765	7	13	of	of	ADP
cana-5765	7	14	2,501	2,501	NUM
cana-5765	7	15	ct	ct	NUM
cana-5765	7	16	images	image	NOUN
cana-5765	7	17	,	,	PUNCT
cana-5765	7	18	comprising	comprise	VERB
cana-5765	7	19	1,551	1,551	NUM
cana-5765	7	20	normal	normal	ADJ
cana-5765	7	21	and	and	CCONJ
cana-5765	7	22	950	950	NUM
cana-5765	7	23	stroke	stroke	NOUN
cana-5765	7	24	-	-	PUNCT
cana-5765	7	25	positive	positive	ADJ
cana-5765	7	26	scans	scan	NOUN
cana-5765	7	27	.	.	PUNCT
cana-5765	8	1	this	this	DET
cana-5765	8	2	balanced	balanced	ADJ
cana-5765	8	3	distribution	distribution	NOUN
cana-5765	8	4	supports	support	VERB
cana-5765	8	5	better	well	ADJ
cana-5765	8	6	generalization	generalization	NOUN
cana-5765	8	7	and	and	CCONJ
cana-5765	8	8	reduces	reduce	VERB
cana-5765	8	9	the	the	DET
cana-5765	8	10	risk	risk	NOUN
cana-5765	8	11	of	of	ADP
cana-5765	8	12	overfitting	overfitte	VERB
cana-5765	8	13	,	,	PUNCT
cana-5765	8	14	adhering	adhere	VERB
cana-5765	8	15	to	to	PART
cana-5765	8	16	best	good	ADJ
cana-5765	8	17	practices	practice	NOUN
cana-5765	8	18	in	in	ADP
cana-5765	8	19	ai	ai	NOUN
cana-5765	8	20	for	for	ADP
cana-5765	8	21	medical	medical	ADJ
cana-5765	8	22	imaging	imaging	NOUN
cana-5765	8	23	.	.	PUNCT
cana-5765	9	1	regarding	regard	VERB
cana-5765	9	2	clinical	clinical	ADJ
cana-5765	9	3	relevance	relevance	NOUN
cana-5765	9	4	,	,	PUNCT
cana-5765	9	5	by	by	ADP
cana-5765	9	6	combining	combine	VERB
cana-5765	9	7	a	a	DET
cana-5765	9	8	high	high	ADV
cana-5765	9	9	-	-	PUNCT
cana-5765	9	10	performing	perform	VERB
cana-5765	9	11	cnn	cnn	NOUN
cana-5765	9	12	with	with	ADP
cana-5765	9	13	a	a	DET
cana-5765	9	14	user	user	NOUN
cana-5765	9	15	-	-	PUNCT
cana-5765	9	16	friendly	friendly	ADJ
cana-5765	9	17	web	web	NOUN
cana-5765	9	18	interface	interface	NOUN
cana-5765	9	19	,	,	PUNCT
cana-5765	9	20	this	this	DET
cana-5765	9	21	system	system	NOUN
cana-5765	9	22	presents	present	VERB
cana-5765	9	23	a	a	DET
cana-5765	9	24	scalable	scalable	ADJ
cana-5765	9	25	and	and	CCONJ
cana-5765	9	26	dependable	dependable	ADJ
cana-5765	9	27	tool	tool	NOUN
cana-5765	9	28	for	for	ADP
cana-5765	9	29	clinical	clinical	ADJ
cana-5765	9	30	stroke	stroke	NOUN
cana-5765	9	31	detection	detection	NOUN
cana-5765	9	32	.	.	PUNCT
cana-5765	10	1	its	its	PRON
cana-5765	10	2	accuracy	accuracy	NOUN
cana-5765	10	3	is	be	AUX
cana-5765	10	4	on	on	ADP
cana-5765	10	5	par	par	NOUN
cana-5765	10	6	with	with	ADP
cana-5765	10	7	leading	lead	VERB
cana-5765	10	8	deep	deep	ADJ
cana-5765	10	9	learning	learning	NOUN
cana-5765	10	10	solutions	solution	NOUN
cana-5765	10	11	,	,	PUNCT
cana-5765	10	12	underlining	underline	VERB
cana-5765	10	13	the	the	DET
cana-5765	10	14	growing	grow	VERB
cana-5765	10	15	role	role	NOUN
cana-5765	10	16	of	of	ADP
cana-5765	10	17	ai	ai	VERB
cana-5765	10	18	in	in	ADP
cana-5765	10	19	advancing	advance	VERB
cana-5765	10	20	medical	medical	ADJ
cana-5765	10	21	imaging	imaging	NOUN
cana-5765	10	22	technologies	technology	NOUN
cana-5765	10	23	.	.	PUNCT
cana-5765	11	1	keywords	keyword	NOUN
cana-5765	11	2	:	:	PUNCT
cana-5765	11	3	stroke	stroke	NOUN
cana-5765	11	4	identification	identification	NOUN
cana-5765	11	5	,	,	PUNCT
cana-5765	11	6	machine	machine	NOUN
cana-5765	11	7	learning	learning	NOUN
cana-5765	11	8	,	,	PUNCT
cana-5765	11	9	neuroimages	neuroimage	NOUN
cana-5765	11	10	,	,	PUNCT
cana-5765	11	11	diagnostic	diagnostic	ADJ
cana-5765	11	12	model	model	NOUN
cana-5765	11	13	,	,	PUNCT
cana-5765	11	14	inceptionv3	inceptionv3	NOUN
cana-5765	11	15	,	,	PUNCT
cana-5765	11	16	mobilenet	mobilenet	NOUN
cana-5765	11	17	,	,	PUNCT
cana-5765	11	18	convolutional	convolutional	ADJ
cana-5765	11	19	neural	neural	ADJ
cana-5765	11	20	network	network	NOUN
cana-5765	11	21	(	(	PUNCT
cana-5765	11	22	cnn	cnn	PROPN
cana-5765	11	23	)	)	PUNCT
cana-5765	11	24	1	1	NUM
cana-5765	11	25	.	.	X
cana-5765	11	26	introduction	introduction	NOUN
cana-5765	11	27	a	a	DET
cana-5765	11	28	stroke	stroke	NOUN
cana-5765	11	29	arises	arise	VERB
cana-5765	11	30	when	when	SCONJ
cana-5765	11	31	the	the	DET
cana-5765	11	32	brain	brain	NOUN
cana-5765	11	33	’s	’s	PART
cana-5765	11	34	blood	blood	NOUN
cana-5765	11	35	supply	supply	NOUN
cana-5765	11	36	is	be	AUX
cana-5765	11	37	disrupted	disrupt	VERB
cana-5765	11	38	—	—	PUNCT
cana-5765	11	39	either	either	CCONJ
cana-5765	11	40	blocked	block	VERB
cana-5765	11	41	(	(	PUNCT
cana-5765	11	42	ischemic	ischemic	ADJ
cana-5765	11	43	stroke	stroke	NOUN
cana-5765	11	44	,	,	PUNCT
cana-5765	11	45	which	which	PRON
cana-5765	11	46	accounts	account	VERB
cana-5765	11	47	for	for	ADP
cana-5765	11	48	about	about	ADV
cana-5765	11	49	87	87	NUM
cana-5765	11	50	%	%	NOUN
cana-5765	11	51	of	of	ADP
cana-5765	11	52	cases	case	NOUN
cana-5765	11	53	)	)	PUNCT
cana-5765	11	54	or	or	CCONJ
cana-5765	11	55	when	when	SCONJ
cana-5765	11	56	a	a	DET
cana-5765	11	57	vessel	vessel	NOUN
cana-5765	11	58	ruptures	rupture	NOUN
cana-5765	11	59	(	(	PUNCT
cana-5765	11	60	hemorrhagic	hemorrhagic	NOUN
cana-5765	11	61	stroke	stroke	NOUN
cana-5765	11	62	,	,	PUNCT
cana-5765	11	63	typically	typically	ADV
cana-5765	11	64	more	more	ADV
cana-5765	11	65	severe	severe	ADJ
cana-5765	11	66	)	)	PUNCT
cana-5765	11	67	.	.	PUNCT
cana-5765	12	1	globally	globally	ADV
cana-5765	12	2	,	,	PUNCT
cana-5765	12	3	strokes	stroke	VERB
cana-5765	12	4	claim	claim	NOUN
cana-5765	12	5	over	over	ADP
cana-5765	12	6	6.2	6.2	NUM
cana-5765	12	7	million	million	NUM
cana-5765	12	8	lives	life	NOUN
cana-5765	12	9	annually	annually	ADV
cana-5765	12	10	,	,	PUNCT
cana-5765	12	11	and	and	CCONJ
cana-5765	12	12	survivors	survivor	NOUN
cana-5765	12	13	often	often	ADV
cana-5765	12	14	face	face	VERB
cana-5765	12	15	lasting	last	VERB
cana-5765	12	16	disabilities	disability	NOUN
cana-5765	12	17	that	that	PRON
cana-5765	12	18	severely	severely	ADV
cana-5765	12	19	affect	affect	VERB
cana-5765	12	20	daily	daily	ADJ
cana-5765	12	21	life[1	life[1	PROPN
cana-5765	12	22	]	]	PUNCT
cana-5765	12	23	.	.	PUNCT
cana-5765	13	1	early	early	ADJ
cana-5765	13	2	identification	identification	NOUN
cana-5765	13	3	of	of	ADP
cana-5765	13	4	those	those	PRON
cana-5765	13	5	at	at	ADP
cana-5765	13	6	risk	risk	NOUN
cana-5765	13	7	is	be	AUX
cana-5765	13	8	vital	vital	ADJ
cana-5765	13	9	:	:	PUNCT
cana-5765	13	10	this	this	DET
cana-5765	13	11	study	study	NOUN
cana-5765	13	12	applies	apply	VERB
cana-5765	13	13	machine	machine	NOUN
cana-5765	13	14	learning	learn	VERB
cana-5765	13	15	to	to	PART
cana-5765	13	16	data	datum	NOUN
cana-5765	13	17	such	such	ADJ
cana-5765	13	18	as	as	ADP
cana-5765	13	19	electronic	electronic	ADJ
cana-5765	13	20	health	health	NOUN
cana-5765	13	21	records	record	NOUN
cana-5765	13	22	,	,	PUNCT
cana-5765	13	23	genetic	genetic	ADJ
cana-5765	13	24	markers	marker	NOUN
cana-5765	13	25	,	,	PUNCT
cana-5765	13	26	and	and	CCONJ
cana-5765	13	27	lifestyle	lifestyle	NOUN
cana-5765	13	28	factors	factor	NOUN
cana-5765	13	29	,	,	PUNCT
cana-5765	13	30	using	use	VERB
cana-5765	13	31	feature	feature	NOUN
cana-5765	13	32	-	-	PUNCT
cana-5765	13	33	selection	selection	NOUN
cana-5765	13	34	algorithms	algorithm	NOUN
cana-5765	13	35	to	to	PART
cana-5765	13	36	build	build	VERB
cana-5765	13	37	accurate	accurate	ADJ
cana-5765	13	38	,	,	PUNCT
cana-5765	13	39	interpretable	interpretable	ADJ
cana-5765	13	40	predictive	predictive	ADJ
cana-5765	13	41	models	model	NOUN
cana-5765	13	42	.	.	PUNCT
cana-5765	14	1	these	these	DET
cana-5765	14	2	models	model	NOUN
cana-5765	14	3	are	be	AUX
cana-5765	14	4	evaluated	evaluate	VERB
cana-5765	14	5	for	for	ADP
cana-5765	14	6	effectiveness	effectiveness	NOUN
cana-5765	14	7	,	,	PUNCT
cana-5765	14	8	clarity	clarity	NOUN
cana-5765	14	9	,	,	PUNCT
cana-5765	14	10	communications	communication	NOUN
cana-5765	14	11	on	on	ADP
cana-5765	14	12	applied	apply	VERB
cana-5765	14	13	nonlinear	nonlinear	ADJ
cana-5765	14	14	analysis	analysis	NOUN
cana-5765	14	15	issn	issn	NOUN
cana-5765	14	16	:	:	PUNCT
cana-5765	14	17	1074	1074	NUM
cana-5765	14	18	-	-	PUNCT
cana-5765	14	19	133x	133x	NUM
cana-5765	14	20	vol	vol	NOUN
cana-5765	14	21	32	32	NUM
cana-5765	15	1	no	no	NOUN
cana-5765	15	2	.	.	PUNCT
cana-5765	16	1	3s	3s	NUM
cana-5765	16	2	(	(	PUNCT
cana-5765	16	3	2025	2025	NUM
cana-5765	16	4	)	)	PUNCT
cana-5765	16	5	880	880	NUM
cana-5765	16	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5765	16	7	adaptability	adaptability	NOUN
cana-5765	16	8	,	,	PUNCT
cana-5765	16	9	and	and	CCONJ
cana-5765	16	10	scalability	scalability	NOUN
cana-5765	16	11	,	,	PUNCT
cana-5765	16	12	and	and	CCONJ
cana-5765	16	13	benchmarked	benchmarke	VERB
cana-5765	16	14	against	against	ADP
cana-5765	16	15	traditional	traditional	ADJ
cana-5765	16	16	clinical	clinical	ADJ
cana-5765	16	17	risk	risk	NOUN
cana-5765	16	18	scores	score	NOUN
cana-5765	16	19	across	across	ADP
cana-5765	16	20	real	real	ADJ
cana-5765	16	21	-	-	PUNCT
cana-5765	16	22	world	world	NOUN
cana-5765	16	23	datasets[2	datasets[2	NOUN
cana-5765	16	24	]	]	PUNCT
cana-5765	16	25	.	.	PUNCT
cana-5765	17	1	by	by	ADP
cana-5765	17	2	enabling	enable	VERB
cana-5765	17	3	precise	precise	ADJ
cana-5765	17	4	,	,	PUNCT
cana-5765	17	5	data	data	NOUN
cana-5765	17	6	-	-	PUNCT
cana-5765	17	7	driven	drive	VERB
cana-5765	17	8	interventions	intervention	NOUN
cana-5765	17	9	,	,	PUNCT
cana-5765	17	10	this	this	DET
cana-5765	17	11	work	work	NOUN
cana-5765	17	12	aims	aim	VERB
cana-5765	17	13	to	to	PART
cana-5765	17	14	revolutionize	revolutionize	VERB
cana-5765	17	15	stroke	stroke	NOUN
cana-5765	17	16	prevention	prevention	PROPN
cana-5765	17	17	,	,	PUNCT
cana-5765	17	18	reduce	reduce	VERB
cana-5765	17	19	its	its	PRON
cana-5765	17	20	burden	burden	NOUN
cana-5765	17	21	on	on	ADP
cana-5765	17	22	individuals	individual	NOUN
cana-5765	17	23	and	and	CCONJ
cana-5765	17	24	healthcare	healthcare	NOUN
cana-5765	17	25	systems	system	NOUN
cana-5765	17	26	,	,	PUNCT
cana-5765	17	27	and	and	CCONJ
cana-5765	17	28	ultimately	ultimately	ADV
cana-5765	17	29	improve	improve	VERB
cana-5765	17	30	patient	patient	ADJ
cana-5765	17	31	outcomes	outcome	NOUN
cana-5765	17	32	through	through	ADP
cana-5765	17	33	timely	timely	ADV
cana-5765	17	34	and	and	CCONJ
cana-5765	17	35	personalized	personalized	ADJ
cana-5765	17	36	care	care	NOUN
cana-5765	17	37	.	.	PUNCT
cana-5765	18	1	stroke	stroke	NOUN
cana-5765	18	2	is	be	AUX
cana-5765	18	3	a	a	DET
cana-5765	18	4	leading	lead	VERB
cana-5765	18	5	cause	cause	NOUN
cana-5765	18	6	of	of	ADP
cana-5765	18	7	death	death	NOUN
cana-5765	18	8	and	and	CCONJ
cana-5765	18	9	disability	disability	NOUN
cana-5765	18	10	worldwide	worldwide	ADV
cana-5765	18	11	,	,	PUNCT
cana-5765	18	12	resulting	result	VERB
cana-5765	18	13	in	in	ADP
cana-5765	18	14	over	over	ADP
cana-5765	18	15	7.3	7.3	NUM
cana-5765	18	16	million	million	NUM
cana-5765	18	17	deaths	death	NOUN
cana-5765	18	18	annually.[3	annually.[3	PROPN
cana-5765	18	19	]	]	PUNCT
cana-5765	18	20	it	it	PRON
cana-5765	18	21	occurs	occur	VERB
cana-5765	18	22	when	when	SCONJ
cana-5765	18	23	blood	blood	NOUN
cana-5765	18	24	flow	flow	NOUN
cana-5765	18	25	to	to	ADP
cana-5765	18	26	the	the	DET
cana-5765	18	27	brain	brain	NOUN
cana-5765	18	28	is	be	AUX
cana-5765	18	29	interrupted	interrupt	VERB
cana-5765	18	30	,	,	PUNCT
cana-5765	18	31	either	either	CCONJ
cana-5765	18	32	due	due	ADP
cana-5765	18	33	to	to	ADP
cana-5765	18	34	a	a	DET
cana-5765	18	35	blockage	blockage	NOUN
cana-5765	18	36	(	(	PUNCT
cana-5765	18	37	ischemic	ischemic	ADJ
cana-5765	18	38	stroke	stroke	NOUN
cana-5765	18	39	)	)	PUNCT
cana-5765	18	40	or	or	CCONJ
cana-5765	18	41	a	a	DET
cana-5765	18	42	ruptured	ruptured	ADJ
cana-5765	18	43	blood	blood	NOUN
cana-5765	18	44	vessel	vessel	NOUN
cana-5765	18	45	(	(	PUNCT
cana-5765	18	46	hemorrhagic	hemorrhagic	NOUN
cana-5765	18	47	stroke	stroke	NOUN
cana-5765	18	48	)	)	PUNCT
cana-5765	18	49	.	.	PUNCT
cana-5765	19	1	early	early	ADJ
cana-5765	19	2	identification	identification	NOUN
cana-5765	19	3	of	of	ADP
cana-5765	19	4	individuals	individual	NOUN
cana-5765	19	5	at	at	ADP
cana-5765	19	6	risk	risk	NOUN
cana-5765	19	7	is	be	AUX
cana-5765	19	8	crucial	crucial	ADJ
cana-5765	19	9	for	for	ADP
cana-5765	19	10	effective	effective	ADJ
cana-5765	19	11	prevention	prevention	NOUN
cana-5765	19	12	and	and	CCONJ
cana-5765	19	13	timely	timely	ADJ
cana-5765	19	14	intervention	intervention	NOUN
cana-5765	19	15	.	.	PUNCT
cana-5765	20	1	machine	machine	NOUN
cana-5765	20	2	learning	learn	VERB
cana-5765	20	3	techniques	technique	NOUN
cana-5765	20	4	have	have	AUX
cana-5765	20	5	shown	show	VERB
cana-5765	20	6	promise	promise	NOUN
cana-5765	20	7	in	in	ADP
cana-5765	20	8	developing	develop	VERB
cana-5765	20	9	predictive	predictive	ADJ
cana-5765	20	10	models	model	NOUN
cana-5765	20	11	for	for	ADP
cana-5765	20	12	stroke	stroke	NOUN
cana-5765	20	13	detection	detection	NOUN
cana-5765	20	14	.	.	PUNCT
cana-5765	21	1	studies	study	NOUN
cana-5765	21	2	have	have	AUX
cana-5765	21	3	demonstrated	demonstrate	VERB
cana-5765	21	4	that	that	SCONJ
cana-5765	21	5	models	model	NOUN
cana-5765	21	6	such	such	ADJ
cana-5765	21	7	as	as	ADP
cana-5765	21	8	support	support	NOUN
cana-5765	21	9	vector	vector	NOUN
cana-5765	21	10	machine	machine	NOUN
cana-5765	21	11	(	(	PUNCT
cana-5765	21	12	svm	svm	PROPN
cana-5765	21	13	)	)	PUNCT
cana-5765	21	14	and	and	CCONJ
cana-5765	21	15	xgboost	xgboost	X
cana-5765	21	16	achieve	achieve	VERB
cana-5765	21	17	high	high	ADJ
cana-5765	21	18	performance[4	performance[4	NOUN
cana-5765	21	19	]	]	PUNCT
cana-5765	21	20	,	,	PUNCT
cana-5765	21	21	with	with	ADP
cana-5765	21	22	area	area	NOUN
cana-5765	21	23	under	under	ADP
cana-5765	21	24	the	the	DET
cana-5765	21	25	curve	curve	NOUN
cana-5765	21	26	(	(	PUNCT
cana-5765	21	27	auc	auc	NOUN
cana-5765	21	28	)	)	PUNCT
cana-5765	21	29	values	value	NOUN
cana-5765	21	30	ranging	range	VERB
cana-5765	21	31	from	from	ADP
cana-5765	21	32	0.88	0.88	NUM
cana-5765	21	33	to	to	ADP
cana-5765	21	34	0.91	0.91	NUM
cana-5765	21	35	,	,	PUNCT
cana-5765	21	36	indicating	indicate	VERB
cana-5765	21	37	strong	strong	ADJ
cana-5765	21	38	predictive	predictive	ADJ
cana-5765	21	39	accuracy	accuracy	NOUN
cana-5765	21	40	.	.	PUNCT
cana-5765	22	1	these	these	DET
cana-5765	22	2	models	model	NOUN
cana-5765	22	3	utilize	utilize	VERB
cana-5765	22	4	various	various	ADJ
cana-5765	22	5	features	feature	NOUN
cana-5765	22	6	,	,	PUNCT
cana-5765	22	7	including	include	VERB
cana-5765	22	8	clinical	clinical	ADJ
cana-5765	22	9	data	datum	NOUN
cana-5765	22	10	and	and	CCONJ
cana-5765	22	11	imaging	imaging	NOUN
cana-5765	22	12	information	information	NOUN
cana-5765	22	13	,	,	PUNCT
cana-5765	22	14	to	to	PART
cana-5765	22	15	assess	assess	VERB
cana-5765	22	16	stroke	stroke	NOUN
cana-5765	22	17	risk	risk	NOUN
cana-5765	22	18	and	and	CCONJ
cana-5765	22	19	predict	predict	VERB
cana-5765	22	20	outcomes	outcome	NOUN
cana-5765	22	21	.	.	PUNCT
cana-5765	23	1	by	by	ADP
cana-5765	23	2	leveraging	leverage	VERB
cana-5765	23	3	machine	machine	NOUN
cana-5765	23	4	learning	learning	NOUN
cana-5765	23	5	algorithms	algorithm	NOUN
cana-5765	23	6	,	,	PUNCT
cana-5765	23	7	healthcare	healthcare	NOUN
cana-5765	23	8	professionals	professional	NOUN
cana-5765	23	9	can	can	AUX
cana-5765	23	10	enhance	enhance	VERB
cana-5765	23	11	early	early	ADJ
cana-5765	23	12	detection	detection	NOUN
cana-5765	23	13	,	,	PUNCT
cana-5765	23	14	improve	improve	VERB
cana-5765	23	15	prognostic	prognostic	ADJ
cana-5765	23	16	assessments	assessment	NOUN
cana-5765	23	17	,	,	PUNCT
cana-5765	23	18	and	and	CCONJ
cana-5765	23	19	ultimately	ultimately	ADV
cana-5765	23	20	reduce	reduce	VERB
cana-5765	23	21	the	the	DET
cana-5765	23	22	burden	burden	NOUN
cana-5765	23	23	of	of	ADP
cana-5765	23	24	stroke	stroke	NOUN
cana-5765	23	25	on	on	ADP
cana-5765	23	26	individuals	individual	NOUN
cana-5765	23	27	and	and	CCONJ
cana-5765	23	28	healthcare	healthcare	NOUN
cana-5765	23	29	systems	system	NOUN
cana-5765	23	30	.	.	PUNCT
cana-5765	24	1	2	2	X
cana-5765	24	2	.	.	X
cana-5765	24	3	existing	exist	VERB
cana-5765	24	4	system	system	NOUN
cana-5765	24	5	imaging	imaging	NOUN
cana-5765	24	6	tests	test	NOUN
cana-5765	24	7	:	:	PUNCT
cana-5765	24	8	ct	ct	PROPN
cana-5765	24	9	scan	scan	NOUN
cana-5765	24	10	(	(	PUNCT
cana-5765	24	11	computed	compute	VERB
cana-5765	24	12	tomography	tomography	NOUN
cana-5765	24	13	):	):	PUNCT
cana-5765	24	14	a	a	DET
cana-5765	24	15	ct	ct	NOUN
cana-5765	24	16	scan	scan	NOUN
cana-5765	24	17	provides	provide	VERB
cana-5765	24	18	detailed	detailed	ADJ
cana-5765	24	19	images	image	NOUN
cana-5765	24	20	of	of	ADP
cana-5765	24	21	the	the	DET
cana-5765	24	22	brain	brain	NOUN
cana-5765	24	23	and	and	CCONJ
cana-5765	24	24	is	be	AUX
cana-5765	24	25	commonly	commonly	ADV
cana-5765	24	26	used	use	VERB
cana-5765	24	27	in	in	ADP
cana-5765	24	28	emergency	emergency	NOUN
cana-5765	24	29	settings	setting	NOUN
cana-5765	24	30	to	to	PART
cana-5765	24	31	detect	detect	VERB
cana-5765	24	32	bleeding	bleeding	NOUN
cana-5765	24	33	or	or	CCONJ
cana-5765	24	34	blockages	blockage	NOUN
cana-5765	24	35	.	.	PUNCT
cana-5765	25	1	it	it	PRON
cana-5765	25	2	is	be	AUX
cana-5765	25	3	widely	widely	ADV
cana-5765	25	4	available	available	ADJ
cana-5765	25	5	,	,	PUNCT
cana-5765	25	6	quick	quick	ADJ
cana-5765	25	7	to	to	PART
cana-5765	25	8	perform	perform	VERB
cana-5765	25	9	,	,	PUNCT
cana-5765	25	10	and	and	CCONJ
cana-5765	25	11	can	can	AUX
cana-5765	25	12	be	be	AUX
cana-5765	25	13	done	do	VERB
cana-5765	25	14	on	on	ADP
cana-5765	25	15	patients	patient	NOUN
cana-5765	25	16	with	with	ADP
cana-5765	25	17	pacemakers	pacemaker	NOUN
cana-5765	25	18	or	or	CCONJ
cana-5765	25	19	on	on	ADP
cana-5765	25	20	ventilators	ventilator	NOUN
cana-5765	25	21	.	.	PUNCT
cana-5765	26	1	however	however	ADV
cana-5765	26	2	,	,	PUNCT
cana-5765	26	3	ct	ct	PROPN
cana-5765	26	4	scans	scan	NOUN
cana-5765	26	5	may	may	AUX
cana-5765	26	6	not	not	PART
cana-5765	26	7	detect	detect	VERB
cana-5765	26	8	small	small	ADJ
cana-5765	26	9	or	or	CCONJ
cana-5765	26	10	early	early	ADJ
cana-5765	26	11	ischemic	ischemic	ADJ
cana-5765	26	12	strokes	stroke	NOUN
cana-5765	26	13	,	,	PUNCT
cana-5765	26	14	especially	especially	ADV
cana-5765	26	15	in	in	ADP
cana-5765	26	16	areas	area	NOUN
cana-5765	26	17	like	like	ADP
cana-5765	26	18	the	the	DET
cana-5765	26	19	brainstem	brainstem	NOUN
cana-5765	26	20	,	,	PUNCT
cana-5765	26	21	and	and	CCONJ
cana-5765	26	22	involve	involve	VERB
cana-5765	26	23	exposure	exposure	NOUN
cana-5765	26	24	to	to	ADP
cana-5765	26	25	radiation	radiation	NOUN
cana-5765	26	26	.	.	PUNCT
cana-5765	27	1	1	1	X
cana-5765	27	2	.	.	X
cana-5765	27	3	mri	mri	NOUN
cana-5765	27	4	(	(	PUNCT
cana-5765	27	5	magnetic	magnetic	ADJ
cana-5765	27	6	resonance	resonance	NOUN
cana-5765	27	7	imaging	imaging	NOUN
cana-5765	27	8	):	):	PUNCT
cana-5765	27	9	mri	mri	NOUN
cana-5765	27	10	offers	offer	VERB
cana-5765	27	11	high	high	ADJ
cana-5765	27	12	-	-	PUNCT
cana-5765	27	13	resolution	resolution	NOUN
cana-5765	27	14	images	image	NOUN
cana-5765	27	15	and	and	CCONJ
cana-5765	27	16	is	be	AUX
cana-5765	27	17	more	more	ADV
cana-5765	27	18	sensitive	sensitive	ADJ
cana-5765	27	19	than	than	ADP
cana-5765	27	20	ct	ct	NUM
cana-5765	27	21	in	in	ADP
cana-5765	27	22	detecting	detect	VERB
cana-5765	27	23	ischemic	ischemic	ADJ
cana-5765	27	24	strokes	stroke	NOUN
cana-5765	27	25	,	,	PUNCT
cana-5765	27	26	particularly	particularly	ADV
cana-5765	27	27	in	in	ADP
cana-5765	27	28	the	the	DET
cana-5765	27	29	posterior	posterior	ADJ
cana-5765	27	30	circulation	circulation	NOUN
cana-5765	27	31	.	.	PUNCT
cana-5765	28	1	it	it	PRON
cana-5765	28	2	does	do	AUX
cana-5765	28	3	not	not	PART
cana-5765	28	4	involve	involve	VERB
cana-5765	28	5	radiation	radiation	NOUN
cana-5765	28	6	and	and	CCONJ
cana-5765	28	7	can	can	AUX
cana-5765	28	8	detect	detect	VERB
cana-5765	28	9	strokes	stroke	NOUN
cana-5765	28	10	within	within	ADP
cana-5765	28	11	minutes	minute	NOUN
cana-5765	28	12	of	of	ADP
cana-5765	28	13	onset	onset	NOUN
cana-5765	28	14	.	.	PUNCT
cana-5765	29	1	however	however	ADV
cana-5765	29	2	,	,	PUNCT
cana-5765	29	3	mri	mri	NOUN
cana-5765	29	4	is	be	AUX
cana-5765	29	5	more	more	ADV
cana-5765	29	6	expensive	expensive	ADJ
cana-5765	29	7	,	,	PUNCT
cana-5765	29	8	less	less	ADV
cana-5765	29	9	accessible	accessible	ADJ
cana-5765	29	10	in	in	ADP
cana-5765	29	11	some	some	DET
cana-5765	29	12	regions	region	NOUN
cana-5765	29	13	,	,	PUNCT
cana-5765	29	14	and	and	CCONJ
cana-5765	29	15	timeconsuming	timeconsuming	NOUN
cana-5765	29	16	compared	compare	VERB
cana-5765	29	17	to	to	ADP
cana-5765	29	18	ct	ct	NUM
cana-5765	29	19	scans	scan	NOUN
cana-5765	29	20	,	,	PUNCT
cana-5765	29	21	which	which	PRON
cana-5765	29	22	can	can	AUX
cana-5765	29	23	delay	delay	VERB
cana-5765	29	24	treatment	treatment	NOUN
cana-5765	29	25	.	.	PUNCT
cana-5765	30	1	2	2	X
cana-5765	30	2	.	.	X
cana-5765	30	3	blood	blood	NOUN
cana-5765	30	4	flow	flow	NOUN
cana-5765	30	5	tests	test	NOUN
cana-5765	30	6	:	:	PUNCT
cana-5765	30	7	i.	i.	PROPN
cana-5765	30	8	carotid	carotid	PROPN
cana-5765	30	9	ultrasound	ultrasound	PROPN
cana-5765	30	10	:	:	PUNCT
cana-5765	30	11	this	this	DET
cana-5765	30	12	non	non	ADJ
cana-5765	30	13	-	-	ADJ
cana-5765	30	14	invasive	invasive	ADJ
cana-5765	30	15	test	test	NOUN
cana-5765	30	16	examines	examine	VERB
cana-5765	30	17	blood	blood	NOUN
cana-5765	30	18	flow	flow	NOUN
cana-5765	30	19	in	in	ADP
cana-5765	30	20	the	the	DET
cana-5765	30	21	carotid	carotid	NOUN
cana-5765	30	22	arteries	artery	NOUN
cana-5765	30	23	to	to	PART
cana-5765	30	24	detect	detect	VERB
cana-5765	30	25	blockages	blockage	NOUN
cana-5765	30	26	.	.	PUNCT
cana-5765	31	1	it	it	PRON
cana-5765	31	2	is	be	AUX
cana-5765	31	3	safe	safe	ADJ
cana-5765	31	4	,	,	PUNCT
cana-5765	31	5	does	do	AUX
cana-5765	31	6	not	not	PART
cana-5765	31	7	involve	involve	VERB
cana-5765	31	8	radiation	radiation	NOUN
cana-5765	31	9	,	,	PUNCT
cana-5765	31	10	and	and	CCONJ
cana-5765	31	11	can	can	AUX
cana-5765	31	12	be	be	AUX
cana-5765	31	13	performed	perform	VERB
cana-5765	31	14	at	at	ADP
cana-5765	31	15	the	the	DET
cana-5765	31	16	patient	patient	NOUN
cana-5765	31	17	's	's	PART
cana-5765	31	18	bedside	bedside	NOUN
cana-5765	31	19	.	.	PUNCT
cana-5765	32	1	however	however	ADV
cana-5765	32	2	,	,	PUNCT
cana-5765	32	3	it	it	PRON
cana-5765	32	4	is	be	AUX
cana-5765	32	5	highly	highly	ADV
cana-5765	32	6	operator	operator	NOUN
cana-5765	32	7	-	-	PUNCT
cana-5765	32	8	dependent	dependent	ADJ
cana-5765	32	9	and	and	CCONJ
cana-5765	32	10	may	may	AUX
cana-5765	32	11	be	be	AUX
cana-5765	32	12	challenging	challenge	VERB
cana-5765	32	13	to	to	PART
cana-5765	32	14	obtain	obtain	VERB
cana-5765	32	15	the	the	DET
cana-5765	32	16	appropriate	appropriate	ADJ
cana-5765	32	17	acoustic	acoustic	ADJ
cana-5765	32	18	window	window	NOUN
cana-5765	32	19	of	of	ADP
cana-5765	32	20	visualization	visualization	NOUN
cana-5765	32	21	on	on	ADP
cana-5765	32	22	the	the	DET
cana-5765	32	23	area	area	NOUN
cana-5765	32	24	of	of	ADP
cana-5765	32	25	interest	interest	NOUN
cana-5765	32	26	.	.	PUNCT
cana-5765	33	1	ii	ii	PROPN
cana-5765	33	2	.	.	PROPN
cana-5765	34	1	cerebral	cerebral	ADJ
cana-5765	34	2	angiography	angiography	NOUN
cana-5765	34	3	uses	use	VERB
cana-5765	34	4	dye	dye	NOUN
cana-5765	34	5	and	and	CCONJ
cana-5765	34	6	x	x	NOUN
cana-5765	34	7	-	-	NOUN
cana-5765	34	8	rays	ray	NOUN
cana-5765	34	9	to	to	PART
cana-5765	34	10	visualize	visualize	VERB
cana-5765	34	11	blood	blood	NOUN
cana-5765	34	12	vessels	vessel	NOUN
cana-5765	34	13	in	in	ADP
cana-5765	34	14	the	the	DET
cana-5765	34	15	brain	brain	NOUN
cana-5765	34	16	,	,	PUNCT
cana-5765	34	17	helping	help	VERB
cana-5765	34	18	to	to	PART
cana-5765	34	19	identify	identify	VERB
cana-5765	34	20	blockages	blockage	NOUN
cana-5765	34	21	or	or	CCONJ
cana-5765	34	22	abnormalities	abnormality	NOUN
cana-5765	34	23	.	.	PUNCT
cana-5765	35	1	it	it	PRON
cana-5765	35	2	is	be	AUX
cana-5765	35	3	considered	consider	VERB
cana-5765	35	4	the	the	DET
cana-5765	35	5	gold	gold	ADJ
cana-5765	35	6	standard	standard	NOUN
cana-5765	35	7	for	for	ADP
cana-5765	35	8	evaluating	evaluate	VERB
cana-5765	35	9	vascular	vascular	ADJ
cana-5765	35	10	conditions	condition	NOUN
cana-5765	35	11	.	.	PUNCT
cana-5765	36	1	however	however	ADV
cana-5765	36	2	,	,	PUNCT
cana-5765	36	3	it	it	PRON
cana-5765	36	4	is	be	AUX
cana-5765	36	5	invasive	invasive	ADJ
cana-5765	36	6	and	and	CCONJ
cana-5765	36	7	carries	carry	VERB
cana-5765	36	8	risks	risk	NOUN
cana-5765	36	9	such	such	ADJ
cana-5765	36	10	as	as	ADP
cana-5765	36	11	bleeding	bleeding	NOUN
cana-5765	36	12	,	,	PUNCT
cana-5765	36	13	infection	infection	NOUN
cana-5765	36	14	,	,	PUNCT
cana-5765	36	15	and	and	CCONJ
cana-5765	36	16	allergic	allergic	ADJ
cana-5765	36	17	reactions	reaction	NOUN
cana-5765	36	18	to	to	ADP
cana-5765	36	19	the	the	DET
cana-5765	36	20	contrast	contrast	NOUN
cana-5765	36	21	dye	dye	NOUN
cana-5765	36	22	.	.	PUNCT
cana-5765	37	1	communications	communication	NOUN
cana-5765	37	2	on	on	ADP
cana-5765	37	3	applied	apply	VERB
cana-5765	37	4	nonlinear	nonlinear	ADJ
cana-5765	37	5	analysis	analysis	NOUN
cana-5765	37	6	issn	issn	NOUN
cana-5765	37	7	:	:	PUNCT
cana-5765	37	8	1074	1074	NUM
cana-5765	37	9	-	-	PUNCT
cana-5765	37	10	133x	133x	NUM
cana-5765	37	11	vol	vol	NOUN
cana-5765	37	12	32	32	NUM
cana-5765	37	13	no	no	NOUN
cana-5765	37	14	.	.	PUNCT
cana-5765	38	1	3s	3s	NUM
cana-5765	38	2	(	(	PUNCT
cana-5765	38	3	2025	2025	NUM
cana-5765	38	4	)	)	PUNCT
cana-5765	38	5	881	881	NUM
cana-5765	38	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5765	38	7	3	3	X
cana-5765	38	8	.	.	PUNCT
cana-5765	38	9	electrical	electrical	ADJ
cana-5765	38	10	tests	test	NOUN
cana-5765	38	11	:	:	PUNCT
cana-5765	38	12	eeg	eeg	X
cana-5765	38	13	(	(	PUNCT
cana-5765	38	14	electroencephalogram	electroencephalogram	PROPN
cana-5765	38	15	):	):	PUNCT
cana-5765	38	16	eeg	eeg	PROPN
cana-5765	38	17	records	record	NOUN
cana-5765	38	18	electrical	electrical	ADJ
cana-5765	38	19	activity	activity	NOUN
cana-5765	38	20	in	in	ADP
cana-5765	38	21	the	the	DET
cana-5765	38	22	brain	brain	NOUN
cana-5765	38	23	and	and	CCONJ
cana-5765	38	24	can	can	AUX
cana-5765	38	25	detect	detect	VERB
cana-5765	38	26	abnormalities	abnormality	NOUN
cana-5765	38	27	associated	associate	VERB
cana-5765	38	28	with	with	ADP
cana-5765	38	29	strokes	stroke	NOUN
cana-5765	38	30	.	.	PUNCT
cana-5765	39	1	it	it	PRON
cana-5765	39	2	is	be	AUX
cana-5765	39	3	non	non	ADJ
cana-5765	39	4	-	-	ADJ
cana-5765	39	5	invasive	invasive	ADJ
cana-5765	39	6	and	and	CCONJ
cana-5765	39	7	can	can	AUX
cana-5765	39	8	be	be	AUX
cana-5765	39	9	performed	perform	VERB
cana-5765	39	10	at	at	ADP
cana-5765	39	11	the	the	DET
cana-5765	39	12	patient	patient	NOUN
cana-5765	39	13	's	's	PART
cana-5765	39	14	bedside	bedside	NOUN
cana-5765	39	15	.	.	PUNCT
cana-5765	40	1	however	however	ADV
cana-5765	40	2	,	,	PUNCT
cana-5765	40	3	it	it	PRON
cana-5765	40	4	is	be	AUX
cana-5765	40	5	not	not	PART
cana-5765	40	6	specific	specific	ADJ
cana-5765	40	7	for	for	ADP
cana-5765	40	8	stroke	stroke	NOUN
cana-5765	40	9	detection	detection	NOUN
cana-5765	40	10	,	,	PUNCT
cana-5765	40	11	as	as	SCONJ
cana-5765	40	12	abnormalities	abnormality	NOUN
cana-5765	40	13	may	may	AUX
cana-5765	40	14	be	be	AUX
cana-5765	40	15	caused	cause	VERB
cana-5765	40	16	by	by	ADP
cana-5765	40	17	other	other	ADJ
cana-5765	40	18	conditions	condition	NOUN
cana-5765	40	19	,	,	PUNCT
cana-5765	40	20	and	and	CCONJ
cana-5765	40	21	it	it	PRON
cana-5765	40	22	has	have	AUX
cana-5765	40	23	limited	limit	VERB
cana-5765	40	24	ability	ability	NOUN
cana-5765	40	25	to	to	PART
cana-5765	40	26	detect	detect	VERB
cana-5765	40	27	structural	structural	ADJ
cana-5765	40	28	brain	brain	NOUN
cana-5765	40	29	changes	change	NOUN
cana-5765	40	30	.	.	PUNCT
cana-5765	41	1	3	3	X
cana-5765	41	2	.	.	NUM
cana-5765	41	3	proposed	propose	VERB
cana-5765	41	4	system	system	NOUN
cana-5765	41	5	the	the	DET
cana-5765	41	6	proposed	propose	VERB
cana-5765	41	7	system	system	NOUN
cana-5765	41	8	aims	aim	VERB
cana-5765	41	9	to	to	PART
cana-5765	41	10	develop	develop	VERB
cana-5765	41	11	a	a	DET
cana-5765	41	12	sophisticated	sophisticated	ADJ
cana-5765	41	13	brain	brain	NOUN
cana-5765	41	14	stroke	stroke	NOUN
cana-5765	41	15	detection	detection	NOUN
cana-5765	41	16	framework	framework	NOUN
cana-5765	41	17	by	by	ADP
cana-5765	41	18	leveraging	leverage	VERB
cana-5765	41	19	machine	machine	NOUN
cana-5765	41	20	learning	learning	NOUN
cana-5765	41	21	and	and	CCONJ
cana-5765	41	22	image	image	NOUN
cana-5765	41	23	processing	processing	NOUN
cana-5765	41	24	techniques	technique	NOUN
cana-5765	41	25	.	.	PUNCT
cana-5765	42	1	designed	design	VERB
cana-5765	42	2	modularly	modularly	ADV
cana-5765	42	3	,	,	PUNCT
cana-5765	42	4	it	it	PRON
cana-5765	42	5	facilitates	facilitate	VERB
cana-5765	42	6	a	a	DET
cana-5765	42	7	comprehensive	comprehensive	ADJ
cana-5765	42	8	and	and	CCONJ
cana-5765	42	9	efficient	efficient	ADJ
cana-5765	42	10	analysis	analysis	NOUN
cana-5765	42	11	of	of	ADP
cana-5765	42	12	brain	brain	NOUN
cana-5765	42	13	images	image	NOUN
cana-5765	42	14	,	,	PUNCT
cana-5765	42	15	enabling	enable	VERB
cana-5765	42	16	early	early	ADJ
cana-5765	42	17	and	and	CCONJ
cana-5765	42	18	accurate	accurate	ADJ
cana-5765	42	19	stroke	stroke	NOUN
cana-5765	42	20	diagnosis	diagnosis	NOUN
cana-5765	42	21	.	.	PUNCT
cana-5765	43	1	the	the	DET
cana-5765	43	2	process	process	NOUN
cana-5765	43	3	begins	begin	VERB
cana-5765	43	4	with	with	ADP
cana-5765	43	5	data	datum	NOUN
cana-5765	43	6	acquisition	acquisition	NOUN
cana-5765	43	7	,	,	PUNCT
cana-5765	43	8	where	where	SCONJ
cana-5765	43	9	a	a	DET
cana-5765	43	10	diverse	diverse	ADJ
cana-5765	43	11	collection	collection	NOUN
cana-5765	43	12	of	of	ADP
cana-5765	43	13	ct	ct	PROPN
cana-5765	43	14	scans	scan	NOUN
cana-5765	43	15	and	and	CCONJ
cana-5765	43	16	mri	mri	NOUN
cana-5765	43	17	slices	slice	NOUN
cana-5765	43	18	is	be	AUX
cana-5765	43	19	gathered	gather	VERB
cana-5765	43	20	.	.	PUNCT
cana-5765	44	1	these	these	DET
cana-5765	44	2	images	image	NOUN
cana-5765	44	3	are	be	AUX
cana-5765	44	4	carefully	carefully	ADV
cana-5765	44	5	labeled	label	VERB
cana-5765	44	6	to	to	PART
cana-5765	44	7	indicate	indicate	VERB
cana-5765	44	8	the	the	DET
cana-5765	44	9	presence	presence	NOUN
cana-5765	44	10	or	or	CCONJ
cana-5765	44	11	absence	absence	NOUN
cana-5765	44	12	of	of	ADP
cana-5765	44	13	stroke	stroke	NOUN
cana-5765	44	14	,	,	PUNCT
cana-5765	44	15	including	include	VERB
cana-5765	44	16	details	detail	NOUN
cana-5765	44	17	on	on	ADP
cana-5765	44	18	stroke	stroke	NOUN
cana-5765	44	19	type	type	NOUN
cana-5765	44	20	and	and	CCONJ
cana-5765	44	21	severity	severity	NOUN
cana-5765	44	22	.	.	PUNCT
cana-5765	45	1	next	next	ADV
cana-5765	45	2	,	,	PUNCT
cana-5765	45	3	data	datum	NOUN
cana-5765	45	4	preprocessing	preprocessing	NOUN
cana-5765	45	5	is	be	AUX
cana-5765	45	6	performed	perform	VERB
cana-5765	45	7	to	to	PART
cana-5765	45	8	enhance	enhance	VERB
cana-5765	45	9	model	model	NOUN
cana-5765	45	10	performance	performance	NOUN
cana-5765	45	11	and	and	CCONJ
cana-5765	45	12	consistency	consistency	NOUN
cana-5765	45	13	.	.	PUNCT
cana-5765	46	1	this	this	PRON
cana-5765	46	2	involves	involve	VERB
cana-5765	46	3	normalizing	normalize	VERB
cana-5765	46	4	pixel	pixel	ADJ
cana-5765	46	5	values	value	NOUN
cana-5765	46	6	,	,	PUNCT
cana-5765	46	7	resizing	resize	VERB
cana-5765	46	8	images	image	NOUN
cana-5765	46	9	to	to	ADP
cana-5765	46	10	a	a	DET
cana-5765	46	11	uniform	uniform	ADJ
cana-5765	46	12	resolution	resolution	NOUN
cana-5765	46	13	,	,	PUNCT
cana-5765	46	14	and	and	CCONJ
cana-5765	46	15	applying	apply	VERB
cana-5765	46	16	noise	noise	NOUN
cana-5765	46	17	reduction	reduction	NOUN
cana-5765	46	18	filters	filter	NOUN
cana-5765	46	19	to	to	PART
cana-5765	46	20	improve	improve	VERB
cana-5765	46	21	image	image	NOUN
cana-5765	46	22	clarity	clarity	NOUN
cana-5765	46	23	.	.	PUNCT
cana-5765	47	1	feature	feature	NOUN
cana-5765	47	2	extraction	extraction	NOUN
cana-5765	47	3	follows	follow	VERB
cana-5765	47	4	,	,	PUNCT
cana-5765	47	5	focusing	focus	VERB
cana-5765	47	6	on	on	ADP
cana-5765	47	7	identifying	identify	VERB
cana-5765	47	8	the	the	DET
cana-5765	47	9	region	region	NOUN
cana-5765	47	10	of	of	ADP
cana-5765	47	11	interest	interest	NOUN
cana-5765	47	12	within	within	ADP
cana-5765	47	13	the	the	DET
cana-5765	47	14	brain	brain	NOUN
cana-5765	47	15	images	image	NOUN
cana-5765	47	16	that	that	PRON
cana-5765	47	17	are	be	AUX
cana-5765	47	18	relevant	relevant	ADJ
cana-5765	47	19	for	for	ADP
cana-5765	47	20	stroke	stroke	NOUN
cana-5765	47	21	detection	detection	NOUN
cana-5765	47	22	.	.	PUNCT
cana-5765	48	1	techniques	technique	NOUN
cana-5765	48	2	such	such	ADJ
cana-5765	48	3	as	as	ADP
cana-5765	48	4	edge	edge	NOUN
cana-5765	48	5	detection	detection	NOUN
cana-5765	48	6	using	use	VERB
cana-5765	48	7	algorithms	algorithm	NOUN
cana-5765	48	8	like	like	ADP
cana-5765	48	9	the	the	DET
cana-5765	48	10	canny	canny	ADJ
cana-5765	48	11	detector	detector	NOUN
cana-5765	48	12	and	and	CCONJ
cana-5765	48	13	texture	texture	ADJ
cana-5765	48	14	analysis	analysis	NOUN
cana-5765	48	15	via	via	ADP
cana-5765	48	16	gray	gray	ADJ
cana-5765	48	17	-	-	PUNCT
cana-5765	48	18	level	level	NOUN
cana-5765	48	19	co	co	NOUN
cana-5765	48	20	-	-	NOUN
cana-5765	48	21	occurrence	occurrence	ADJ
cana-5765	48	22	matrix	matrix	NOUN
cana-5765	48	23	(	(	PUNCT
cana-5765	48	24	glcm	glcm	PROPN
cana-5765	48	25	)	)	PUNCT
cana-5765	48	26	are	be	AUX
cana-5765	48	27	applied	apply	VERB
cana-5765	48	28	to	to	PART
cana-5765	48	29	highlight	highlight	VERB
cana-5765	48	30	important	important	ADJ
cana-5765	48	31	boundaries	boundary	NOUN
cana-5765	48	32	and	and	CCONJ
cana-5765	48	33	textural	textural	ADJ
cana-5765	48	34	patterns	pattern	NOUN
cana-5765	48	35	indicative	indicative	ADJ
cana-5765	48	36	of	of	ADP
cana-5765	48	37	stroke	stroke	NOUN
cana-5765	48	38	.	.	PUNCT
cana-5765	49	1	for	for	ADP
cana-5765	49	2	algorithm	algorithm	NOUN
cana-5765	49	3	selection	selection	NOUN
cana-5765	49	4	,	,	PUNCT
cana-5765	49	5	the	the	DET
cana-5765	49	6	system	system	NOUN
cana-5765	49	7	utilizes	utilize	VERB
cana-5765	49	8	opencv	opencv	PROPN
cana-5765	49	9	’s	’s	PART
cana-5765	49	10	image	image	NOUN
cana-5765	49	11	processing	processing	NOUN
cana-5765	49	12	capabilities	capability	NOUN
cana-5765	49	13	for	for	ADP
cana-5765	49	14	contour	contour	NOUN
cana-5765	49	15	analysis	analysis	NOUN
cana-5765	49	16	,	,	PUNCT
cana-5765	49	17	morphology	morphology	NOUN
cana-5765	49	18	,	,	PUNCT
cana-5765	49	19	and	and	CCONJ
cana-5765	49	20	filtering	filter	VERB
cana-5765	49	21	,	,	PUNCT
cana-5765	49	22	while	while	SCONJ
cana-5765	49	23	implementing	implement	VERB
cana-5765	49	24	machine	machine	NOUN
cana-5765	49	25	learning	learning	NOUN
cana-5765	49	26	models	model	NOUN
cana-5765	49	27	through	through	ADP
cana-5765	49	28	opencv	opencv	PROPN
cana-5765	49	29	’s	’s	PART
cana-5765	49	30	module	module	NOUN
cana-5765	49	31	or	or	CCONJ
cana-5765	49	32	integrating	integrate	VERB
cana-5765	49	33	with	with	ADP
cana-5765	49	34	frameworks	framework	NOUN
cana-5765	49	35	such	such	ADJ
cana-5765	49	36	as	as	ADP
cana-5765	49	37	tensorflow	tensorflow	NOUN
cana-5765	49	38	or	or	CCONJ
cana-5765	49	39	pytorch	pytorch	NOUN
cana-5765	49	40	.	.	PUNCT
cana-5765	50	1	the	the	DET
cana-5765	50	2	dataset	dataset	NOUN
cana-5765	50	3	is	be	AUX
cana-5765	50	4	divided	divide	VERB
cana-5765	50	5	into	into	ADP
cana-5765	50	6	training	training	NOUN
cana-5765	50	7	and	and	CCONJ
cana-5765	50	8	testing	testing	NOUN
cana-5765	50	9	subsets	subset	NOUN
cana-5765	50	10	to	to	PART
cana-5765	50	11	facilitate	facilitate	VERB
cana-5765	50	12	model	model	NOUN
cana-5765	50	13	evaluation	evaluation	NOUN
cana-5765	50	14	.	.	PUNCT
cana-5765	51	1	extracted	extract	VERB
cana-5765	51	2	features	feature	NOUN
cana-5765	51	3	are	be	AUX
cana-5765	51	4	transformed	transform	VERB
cana-5765	51	5	into	into	ADP
cana-5765	51	6	feature	feature	NOUN
cana-5765	51	7	vectors	vector	NOUN
cana-5765	51	8	to	to	PART
cana-5765	51	9	serve	serve	VERB
cana-5765	51	10	as	as	ADP
cana-5765	51	11	input	input	NOUN
cana-5765	51	12	for	for	ADP
cana-5765	51	13	the	the	DET
cana-5765	51	14	model	model	NOUN
cana-5765	51	15	.	.	PUNCT
cana-5765	52	1	the	the	DET
cana-5765	52	2	system	system	NOUN
cana-5765	52	3	trains	train	VERB
cana-5765	52	4	machine	machine	NOUN
cana-5765	52	5	learning	learn	VERB
cana-5765	52	6	algorithms	algorithm	NOUN
cana-5765	52	7	such	such	ADJ
cana-5765	52	8	as	as	ADP
cana-5765	52	9	support	support	NOUN
cana-5765	52	10	vector	vector	NOUN
cana-5765	52	11	machines	machine	NOUN
cana-5765	52	12	or	or	CCONJ
cana-5765	52	13	random	random	ADJ
cana-5765	52	14	forests	forest	NOUN
cana-5765	52	15	,	,	PUNCT
cana-5765	52	16	employing	employ	VERB
cana-5765	52	17	cross	cross	NOUN
cana-5765	52	18	-	-	NOUN
cana-5765	52	19	validation	validation	NOUN
cana-5765	52	20	to	to	PART
cana-5765	52	21	ensure	ensure	VERB
cana-5765	52	22	robustness.model	robustness.model	PRON
cana-5765	52	23	evaluation	evaluation	NOUN
cana-5765	52	24	is	be	AUX
cana-5765	52	25	conducted	conduct	VERB
cana-5765	52	26	using	use	VERB
cana-5765	52	27	the	the	DET
cana-5765	52	28	testing	testing	NOUN
cana-5765	52	29	set	set	NOUN
cana-5765	52	30	,	,	PUNCT
cana-5765	52	31	with	with	ADP
cana-5765	52	32	performance	performance	NOUN
cana-5765	52	33	assessed	assess	VERB
cana-5765	52	34	through	through	ADP
cana-5765	52	35	metrics	metric	NOUN
cana-5765	52	36	including	include	VERB
cana-5765	52	37	accuracy	accuracy	NOUN
cana-5765	52	38	,	,	PUNCT
cana-5765	52	39	precision	precision	NOUN
cana-5765	52	40	,	,	PUNCT
cana-5765	52	41	recall	recall	NOUN
cana-5765	52	42	,	,	PUNCT
cana-5765	52	43	and	and	CCONJ
cana-5765	52	44	f1	f1	NOUN
cana-5765	52	45	-	-	PUNCT
cana-5765	52	46	score	score	NOUN
cana-5765	52	47	.	.	PUNCT
cana-5765	53	1	once	once	ADV
cana-5765	53	2	validated	validate	VERB
cana-5765	53	3	,	,	PUNCT
cana-5765	53	4	the	the	DET
cana-5765	53	5	trained	train	VERB
cana-5765	53	6	model	model	NOUN
cana-5765	53	7	is	be	AUX
cana-5765	53	8	integrated	integrate	VERB
cana-5765	53	9	with	with	ADP
cana-5765	53	10	opencv	opencv	PROPN
cana-5765	53	11	for	for	ADP
cana-5765	53	12	real	real	ADJ
cana-5765	53	13	-	-	PUNCT
cana-5765	53	14	time	time	NOUN
cana-5765	53	15	image	image	NOUN
cana-5765	53	16	recognition	recognition	NOUN
cana-5765	53	17	and	and	CCONJ
cana-5765	53	18	deployed	deploy	VERB
cana-5765	53	19	in	in	ADP
cana-5765	53	20	healthcare	healthcare	PROPN
cana-5765	53	21	environments	environment	NOUN
cana-5765	53	22	,	,	PUNCT
cana-5765	53	23	ensuring	ensure	VERB
cana-5765	53	24	smooth	smooth	ADJ
cana-5765	53	25	integration	integration	NOUN
cana-5765	53	26	with	with	ADP
cana-5765	53	27	existing	exist	VERB
cana-5765	53	28	infrastructure.what	infrastructure.what	PRON
cana-5765	53	29	distinguishes	distinguish	VERB
cana-5765	53	30	this	this	DET
cana-5765	53	31	system	system	NOUN
cana-5765	53	32	is	be	AUX
cana-5765	53	33	its	its	PRON
cana-5765	53	34	integration	integration	NOUN
cana-5765	53	35	of	of	ADP
cana-5765	53	36	multi	multi	ADJ
cana-5765	53	37	-	-	ADJ
cana-5765	53	38	source	source	NOUN
cana-5765	53	39	data	datum	NOUN
cana-5765	53	40	—	—	PUNCT
cana-5765	53	41	including	include	VERB
cana-5765	53	42	electronic	electronic	ADJ
cana-5765	53	43	health	health	NOUN
cana-5765	53	44	records	record	NOUN
cana-5765	53	45	,	,	PUNCT
cana-5765	53	46	genetic	genetic	ADJ
cana-5765	53	47	information	information	NOUN
cana-5765	53	48	,	,	PUNCT
cana-5765	53	49	and	and	CCONJ
cana-5765	53	50	lifestyle	lifestyle	NOUN
cana-5765	53	51	factors	factor	NOUN
cana-5765	53	52	—	—	PUNCT
cana-5765	53	53	offering	offer	VERB
cana-5765	53	54	a	a	DET
cana-5765	53	55	comprehensive	comprehensive	ADJ
cana-5765	53	56	and	and	CCONJ
cana-5765	53	57	personalized	personalized	ADJ
cana-5765	53	58	stroke	stroke	NOUN
cana-5765	53	59	risk	risk	NOUN
cana-5765	53	60	analysis	analysis	NOUN
cana-5765	53	61	.	.	PUNCT
cana-5765	54	1	it	it	PRON
cana-5765	54	2	employs	employ	VERB
cana-5765	54	3	advanced	advanced	ADJ
cana-5765	54	4	machine	machine	NOUN
cana-5765	54	5	learning	learn	VERB
cana-5765	54	6	techniques	technique	NOUN
cana-5765	54	7	that	that	PRON
cana-5765	54	8	balance	balance	VERB
cana-5765	54	9	high	high	ADJ
cana-5765	54	10	accuracy	accuracy	NOUN
cana-5765	54	11	with	with	ADP
cana-5765	54	12	interpretability	interpretability	NOUN
cana-5765	54	13	.	.	PUNCT
cana-5765	55	1	feature	feature	NOUN
cana-5765	55	2	selection	selection	NOUN
cana-5765	55	3	methods	method	NOUN
cana-5765	55	4	enhance	enhance	VERB
cana-5765	55	5	model	model	NOUN
cana-5765	55	6	clarity	clarity	NOUN
cana-5765	55	7	by	by	ADP
cana-5765	55	8	highlighting	highlight	VERB
cana-5765	55	9	the	the	DET
cana-5765	55	10	most	most	ADV
cana-5765	55	11	influential	influential	ADJ
cana-5765	55	12	risk	risk	NOUN
cana-5765	55	13	factors	factor	NOUN
cana-5765	55	14	.	.	PUNCT
cana-5765	56	1	real	real	ADJ
cana-5765	56	2	-	-	PUNCT
cana-5765	56	3	world	world	NOUN
cana-5765	56	4	datasets	dataset	NOUN
cana-5765	56	5	validate	validate	VERB
cana-5765	56	6	the	the	DET
cana-5765	56	7	system	system	NOUN
cana-5765	56	8	’s	’s	PART
cana-5765	56	9	reliability	reliability	NOUN
cana-5765	56	10	and	and	CCONJ
cana-5765	56	11	practical	practical	ADJ
cana-5765	56	12	utility	utility	NOUN
cana-5765	56	13	.	.	PUNCT
cana-5765	57	1	compared	compare	VERB
cana-5765	57	2	to	to	ADP
cana-5765	57	3	traditional	traditional	ADJ
cana-5765	57	4	clinical	clinical	ADJ
cana-5765	57	5	methods	method	NOUN
cana-5765	57	6	,	,	PUNCT
cana-5765	57	7	this	this	DET
cana-5765	57	8	approach	approach	NOUN
cana-5765	57	9	demonstrates	demonstrate	VERB
cana-5765	57	10	superior	superior	ADJ
cana-5765	57	11	prediction	prediction	NOUN
cana-5765	57	12	accuracy	accuracy	NOUN
cana-5765	57	13	and	and	CCONJ
cana-5765	57	14	earlier	early	ADJ
cana-5765	57	15	stroke	stroke	NOUN
cana-5765	57	16	detection	detection	NOUN
cana-5765	57	17	.	.	PUNCT
cana-5765	58	1	furthermore	furthermore	ADV
cana-5765	58	2	,	,	PUNCT
cana-5765	58	3	it	it	PRON
cana-5765	58	4	supports	support	VERB
cana-5765	58	5	clinicians	clinician	NOUN
cana-5765	58	6	with	with	ADP
cana-5765	58	7	actionable	actionable	ADJ
cana-5765	58	8	insights	insight	NOUN
cana-5765	58	9	for	for	ADP
cana-5765	58	10	informed	informed	ADJ
cana-5765	58	11	decision	decision	NOUN
cana-5765	58	12	-	-	PUNCT
cana-5765	58	13	making	make	VERB
cana-5765	58	14	and	and	CCONJ
cana-5765	58	15	personalized	personalized	ADJ
cana-5765	58	16	interventions	intervention	NOUN
cana-5765	58	17	.	.	PUNCT
cana-5765	59	1	designed	design	VERB
cana-5765	59	2	for	for	ADP
cana-5765	59	3	scalability	scalability	NOUN
cana-5765	59	4	and	and	CCONJ
cana-5765	59	5	adaptability	adaptability	NOUN
cana-5765	59	6	,	,	PUNCT
cana-5765	59	7	the	the	DET
cana-5765	59	8	system	system	NOUN
cana-5765	59	9	can	can	AUX
cana-5765	59	10	be	be	AUX
cana-5765	59	11	deployed	deploy	VERB
cana-5765	59	12	across	across	ADP
cana-5765	59	13	various	various	ADJ
cana-5765	59	14	healthcare	healthcare	NOUN
cana-5765	59	15	settings	setting	NOUN
cana-5765	59	16	and	and	CCONJ
cana-5765	59	17	populations	population	NOUN
cana-5765	59	18	,	,	PUNCT
cana-5765	59	19	with	with	ADP
cana-5765	59	20	a	a	DET
cana-5765	59	21	user	user	NOUN
cana-5765	59	22	-	-	PUNCT
cana-5765	59	23	friendly	friendly	ADJ
cana-5765	59	24	interface	interface	NOUN
cana-5765	59	25	that	that	PRON
cana-5765	59	26	ensures	ensure	VERB
cana-5765	59	27	medical	medical	ADJ
cana-5765	59	28	professionals	professional	NOUN
cana-5765	59	29	can	can	AUX
cana-5765	59	30	easily	easily	ADV
cana-5765	59	31	interpret	interpret	VERB
cana-5765	59	32	the	the	DET
cana-5765	59	33	results	result	NOUN
cana-5765	59	34	.	.	PUNCT
cana-5765	60	1	4	4	X
cana-5765	60	2	.	.	X
cana-5765	60	3	methodology	methodology	NOUN
cana-5765	60	4	communications	communication	NOUN
cana-5765	60	5	on	on	ADP
cana-5765	60	6	applied	apply	VERB
cana-5765	60	7	nonlinear	nonlinear	ADJ
cana-5765	60	8	analysis	analysis	NOUN
cana-5765	60	9	issn	issn	NOUN
cana-5765	60	10	:	:	PUNCT
cana-5765	60	11	1074	1074	NUM
cana-5765	60	12	-	-	PUNCT
cana-5765	60	13	133x	133x	NUM
cana-5765	60	14	vol	vol	NOUN
cana-5765	60	15	32	32	NUM
cana-5765	60	16	no	no	NOUN
cana-5765	60	17	.	.	PUNCT
cana-5765	61	1	3s	3s	NUM
cana-5765	61	2	(	(	PUNCT
cana-5765	61	3	2025	2025	NUM
cana-5765	61	4	)	)	PUNCT
cana-5765	61	5	882	882	NUM
cana-5765	61	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5765	61	7	this	this	DET
cana-5765	61	8	section	section	NOUN
cana-5765	61	9	will	will	AUX
cana-5765	61	10	go	go	VERB
cana-5765	61	11	over	over	ADP
cana-5765	61	12	the	the	DET
cana-5765	61	13	research	research	NOUN
cana-5765	61	14	strategy	strategy	NOUN
cana-5765	61	15	and	and	CCONJ
cana-5765	61	16	technique	technique	NOUN
cana-5765	61	17	that	that	PRON
cana-5765	61	18	we	we	PRON
cana-5765	61	19	used	use	VERB
cana-5765	61	20	for	for	ADP
cana-5765	61	21	this	this	DET
cana-5765	61	22	investigation	investigation	NOUN
cana-5765	61	23	.	.	PUNCT
cana-5765	62	1	in	in	ADP
cana-5765	62	2	figure	figure	NOUN
cana-5765	62	3	5.1	5.1	NUM
cana-5765	62	4	,	,	PUNCT
cana-5765	62	5	the	the	DET
cana-5765	62	6	suggested	suggest	VERB
cana-5765	62	7	framework	framework	NOUN
cana-5765	62	8	is	be	AUX
cana-5765	62	9	displayed	display	VERB
cana-5765	62	10	.	.	PUNCT
cana-5765	63	1	the	the	DET
cana-5765	63	2	architecture	architecture	NOUN
cana-5765	63	3	of	of	ADP
cana-5765	63	4	the	the	DET
cana-5765	63	5	suggested	suggest	VERB
cana-5765	63	6	computer	computer	NOUN
cana-5765	63	7	-	-	PUNCT
cana-5765	63	8	aided	aid	VERB
cana-5765	63	9	stroke	stroke	NOUN
cana-5765	63	10	diagnostic	diagnostic	ADJ
cana-5765	63	11	system	system	NOUN
cana-5765	63	12	is	be	AUX
cana-5765	63	13	described	describe	VERB
cana-5765	63	14	in	in	ADP
cana-5765	63	15	the	the	DET
cana-5765	63	16	framework	framework	NOUN
cana-5765	63	17	.	.	PUNCT
cana-5765	64	1	after	after	ADP
cana-5765	64	2	being	be	AUX
cana-5765	64	3	put	put	VERB
cana-5765	64	4	into	into	ADP
cana-5765	64	5	the	the	DET
cana-5765	64	6	system	system	NOUN
cana-5765	64	7	,	,	PUNCT
cana-5765	64	8	this	this	DET
cana-5765	64	9	benchmark	benchmark	NOUN
cana-5765	64	10	dataset	dataset	NOUN
cana-5765	64	11	is	be	AUX
cana-5765	64	12	separated	separate	VERB
cana-5765	64	13	into	into	ADP
cana-5765	64	14	two	two	NUM
cana-5765	64	15	smaller	small	ADJ
cana-5765	64	16	datasets	dataset	NOUN
cana-5765	64	17	:	:	PUNCT
cana-5765	64	18	the	the	DET
cana-5765	64	19	training	training	NOUN
cana-5765	64	20	dataset	dataset	NOUN
cana-5765	64	21	and	and	CCONJ
cana-5765	64	22	the	the	DET
cana-5765	64	23	validation	validation	NOUN
cana-5765	64	24	dataset	dataset	NOUN
cana-5765	64	25	.	.	PUNCT
cana-5765	65	1	we	we	PRON
cana-5765	65	2	employ	employ	VERB
cana-5765	65	3	holdout	holdout	NOUN
cana-5765	65	4	cross	cross	NOUN
cana-5765	65	5	-	-	NOUN
cana-5765	65	6	validation	validation	NOUN
cana-5765	65	7	to	to	PART
cana-5765	65	8	divide	divide	VERB
cana-5765	65	9	the	the	DET
cana-5765	65	10	dataset	dataset	NOUN
cana-5765	65	11	.	.	PUNCT
cana-5765	66	1	70	70	NUM
cana-5765	66	2	%	%	NOUN
cana-5765	66	3	of	of	ADP
cana-5765	66	4	the	the	DET
cana-5765	66	5	photos	photo	NOUN
cana-5765	66	6	from	from	ADP
cana-5765	66	7	the	the	DET
cana-5765	66	8	five	five	NUM
cana-5765	66	9	classes	class	NOUN
cana-5765	66	10	are	be	AUX
cana-5765	66	11	chosen	choose	VERB
cana-5765	66	12	at	at	ADP
cana-5765	66	13	random	random	ADJ
cana-5765	66	14	to	to	PART
cana-5765	66	15	train	train	VERB
cana-5765	66	16	the	the	DET
cana-5765	66	17	model	model	NOUN
cana-5765	66	18	,	,	PUNCT
cana-5765	66	19	and	and	CCONJ
cana-5765	66	20	the	the	DET
cana-5765	66	21	remaining	remain	VERB
cana-5765	66	22	data	datum	NOUN
cana-5765	66	23	is	be	AUX
cana-5765	66	24	divided	divide	VERB
cana-5765	66	25	.	.	PUNCT
cana-5765	67	1	thirty	thirty	NUM
cana-5765	67	2	percent	percent	NOUN
cana-5765	67	3	of	of	ADP
cana-5765	67	4	the	the	DET
cana-5765	67	5	photos	photo	NOUN
cana-5765	67	6	with	with	ADP
cana-5765	67	7	the	the	DET
cana-5765	67	8	appropriate	appropriate	ADJ
cana-5765	67	9	labels	label	NOUN
cana-5765	67	10	are	be	AUX
cana-5765	67	11	utilized	utilize	VERB
cana-5765	67	12	as	as	ADP
cana-5765	67	13	validation	validation	NOUN
cana-5765	67	14	sets	set	NOUN
cana-5765	67	15	to	to	PART
cana-5765	67	16	assess	assess	VERB
cana-5765	67	17	the	the	DET
cana-5765	67	18	performance	performance	NOUN
cana-5765	67	19	of	of	ADP
cana-5765	67	20	the	the	DET
cana-5765	67	21	suggested	suggest	VERB
cana-5765	67	22	model	model	NOUN
cana-5765	67	23	.	.	PUNCT
cana-5765	68	1	this	this	DET
cana-5765	68	2	study	study	NOUN
cana-5765	68	3	uses	use	VERB
cana-5765	68	4	five	five	NUM
cana-5765	68	5	sophisticated	sophisticated	ADJ
cana-5765	68	6	convolutional	convolutional	ADJ
cana-5765	68	7	network	network	NOUN
cana-5765	68	8	architectures	architecture	NOUN
cana-5765	68	9	to	to	PART
cana-5765	68	10	extract	extract	VERB
cana-5765	68	11	resilient	resilient	ADJ
cana-5765	68	12	and	and	CCONJ
cana-5765	68	13	non	non	ADJ
cana-5765	68	14	-	-	ADJ
cana-5765	68	15	invariant	invariant	ADJ
cana-5765	68	16	characteristics	characteristic	NOUN
cana-5765	68	17	from	from	ADP
cana-5765	68	18	rgb	rgb	PROPN
cana-5765	68	19	photos.this	photos.this	DET
cana-5765	68	20	study	study	NOUN
cana-5765	68	21	evaluates	evaluate	VERB
cana-5765	68	22	the	the	DET
cana-5765	68	23	effectiveness	effectiveness	NOUN
cana-5765	68	24	of	of	ADP
cana-5765	68	25	various	various	ADJ
cana-5765	68	26	deep	deep	ADJ
cana-5765	68	27	learning	learning	NOUN
cana-5765	68	28	algorithms	algorithm	NOUN
cana-5765	68	29	for	for	ADP
cana-5765	68	30	detecting	detect	VERB
cana-5765	68	31	brain	brain	NOUN
cana-5765	68	32	strokes	stroke	NOUN
cana-5765	68	33	using	use	VERB
cana-5765	68	34	medical	medical	ADJ
cana-5765	68	35	imaging	imaging	NOUN
cana-5765	68	36	data	datum	NOUN
cana-5765	68	37	.	.	PUNCT
cana-5765	69	1	the	the	DET
cana-5765	69	2	methodology	methodology	NOUN
cana-5765	69	3	involves	involve	VERB
cana-5765	69	4	preprocessing	preprocesse	VERB
cana-5765	69	5	mri	mri	NOUN
cana-5765	69	6	or	or	CCONJ
cana-5765	69	7	ct	ct	NOUN
cana-5765	69	8	scan	scan	ADJ
cana-5765	69	9	images	image	NOUN
cana-5765	69	10	to	to	PART
cana-5765	69	11	remove	remove	VERB
cana-5765	69	12	noise	noise	NOUN
cana-5765	69	13	and	and	CCONJ
cana-5765	69	14	normalize	normalize	VERB
cana-5765	69	15	them	they	PRON
cana-5765	69	16	for	for	ADP
cana-5765	69	17	input	input	NOUN
cana-5765	69	18	into	into	ADP
cana-5765	69	19	deep	deep	ADJ
cana-5765	69	20	learning	learning	NOUN
cana-5765	69	21	models	model	NOUN
cana-5765	69	22	.	.	PUNCT
cana-5765	70	1	feature	feature	NOUN
cana-5765	70	2	extraction	extraction	NOUN
cana-5765	70	3	is	be	AUX
cana-5765	70	4	performed	perform	VERB
cana-5765	70	5	using	use	VERB
cana-5765	70	6	these	these	DET
cana-5765	70	7	algorithms	algorithm	NOUN
cana-5765	70	8	to	to	PART
cana-5765	70	9	detect	detect	VERB
cana-5765	70	10	patterns	pattern	NOUN
cana-5765	70	11	indicative	indicative	ADJ
cana-5765	70	12	of	of	ADP
cana-5765	70	13	stroke	stroke	NOUN
cana-5765	70	14	.	.	PUNCT
cana-5765	71	1	the	the	DET
cana-5765	71	2	performance	performance	NOUN
cana-5765	71	3	of	of	ADP
cana-5765	71	4	each	each	DET
cana-5765	71	5	model	model	NOUN
cana-5765	71	6	is	be	AUX
cana-5765	71	7	assessed	assess	VERB
cana-5765	71	8	using	use	VERB
cana-5765	71	9	metrics	metric	NOUN
cana-5765	71	10	such	such	ADJ
cana-5765	71	11	as	as	ADP
cana-5765	71	12	accuracy	accuracy	NOUN
cana-5765	71	13	,	,	PUNCT
cana-5765	71	14	precision	precision	NOUN
cana-5765	71	15	,	,	PUNCT
cana-5765	71	16	recall	recall	NOUN
cana-5765	71	17	,	,	PUNCT
cana-5765	71	18	and	and	CCONJ
cana-5765	71	19	computational	computational	ADJ
cana-5765	71	20	efficiency	efficiency	NOUN
cana-5765	71	21	.	.	PUNCT
cana-5765	72	1	1	1	X
cana-5765	72	2	.	.	X
cana-5765	72	3	convolutional	convolutional	ADJ
cana-5765	72	4	neural	neural	ADJ
cana-5765	72	5	networks	network	NOUN
cana-5765	72	6	(	(	PUNCT
cana-5765	72	7	cnn	cnn	PROPN
cana-5765	72	8	):	):	PUNCT
cana-5765	72	9	cnns	cnns	PROPN
cana-5765	72	10	are	be	AUX
cana-5765	72	11	the	the	DET
cana-5765	72	12	backbone	backbone	NOUN
cana-5765	72	13	of	of	ADP
cana-5765	72	14	image	image	NOUN
cana-5765	72	15	recognition	recognition	NOUN
cana-5765	72	16	tasks	task	NOUN
cana-5765	72	17	.	.	PUNCT
cana-5765	73	1	their	their	PRON
cana-5765	73	2	ability	ability	NOUN
cana-5765	73	3	to	to	PART
cana-5765	73	4	automatically	automatically	ADV
cana-5765	73	5	extract	extract	VERB
cana-5765	73	6	hierarchical	hierarchical	ADJ
cana-5765	73	7	features	feature	NOUN
cana-5765	73	8	from	from	ADP
cana-5765	73	9	medical	medical	ADJ
cana-5765	73	10	images	image	NOUN
cana-5765	73	11	makes	make	VERB
cana-5765	73	12	them	they	PRON
cana-5765	73	13	ideal	ideal	ADJ
cana-5765	73	14	for	for	ADP
cana-5765	73	15	stroke	stroke	NOUN
cana-5765	73	16	detection	detection	NOUN
cana-5765	73	17	.	.	PUNCT
cana-5765	74	1	cnns	cnns	PROPN
cana-5765	74	2	utilize	utilize	VERB
cana-5765	74	3	layers	layer	NOUN
cana-5765	74	4	like	like	ADP
cana-5765	74	5	convolution	convolution	NOUN
cana-5765	74	6	,	,	PUNCT
cana-5765	74	7	pooling	pooling	NOUN
cana-5765	74	8	,	,	PUNCT
cana-5765	74	9	and	and	CCONJ
cana-5765	74	10	activation	activation	NOUN
cana-5765	74	11	to	to	PART
cana-5765	74	12	capture	capture	VERB
cana-5765	74	13	spatial	spatial	ADJ
cana-5765	74	14	relationships	relationship	NOUN
cana-5765	74	15	and	and	CCONJ
cana-5765	74	16	patterns	pattern	NOUN
cana-5765	74	17	,	,	PUNCT
cana-5765	74	18	optimizing	optimize	VERB
cana-5765	74	19	detection	detection	NOUN
cana-5765	74	20	accuracy	accuracy	NOUN
cana-5765	74	21	.	.	PUNCT
cana-5765	75	1	2	2	X
cana-5765	75	2	.	.	X
cana-5765	75	3	inceptionv3	inceptionv3	NOUN
cana-5765	75	4	:	:	PUNCT
cana-5765	76	1	inceptionv3	inceptionv3	NOUN
cana-5765	76	2	is	be	AUX
cana-5765	76	3	known	know	VERB
cana-5765	76	4	for	for	ADP
cana-5765	76	5	its	its	PRON
cana-5765	76	6	efficiency	efficiency	NOUN
cana-5765	76	7	in	in	ADP
cana-5765	76	8	handling	handle	VERB
cana-5765	76	9	complex	complex	ADJ
cana-5765	76	10	datasets	dataset	NOUN
cana-5765	76	11	through	through	ADP
cana-5765	76	12	its	its	PRON
cana-5765	76	13	unique	unique	ADJ
cana-5765	76	14	architecture	architecture	NOUN
cana-5765	76	15	,	,	PUNCT
cana-5765	76	16	which	which	PRON
cana-5765	76	17	includes	include	VERB
cana-5765	76	18	inception	inception	ADJ
cana-5765	76	19	modules	module	NOUN
cana-5765	76	20	.	.	PUNCT
cana-5765	77	1	these	these	DET
cana-5765	77	2	modules	module	NOUN
cana-5765	77	3	use	use	VERB
cana-5765	77	4	multiple	multiple	ADJ
cana-5765	77	5	kernel	kernel	NOUN
cana-5765	77	6	sizes	size	NOUN
cana-5765	77	7	to	to	PART
cana-5765	77	8	extract	extract	VERB
cana-5765	77	9	diverse	diverse	ADJ
cana-5765	77	10	features	feature	NOUN
cana-5765	77	11	,	,	PUNCT
cana-5765	77	12	enhancing	enhance	VERB
cana-5765	77	13	the	the	DET
cana-5765	77	14	model	model	NOUN
cana-5765	77	15	's	's	PART
cana-5765	77	16	ability	ability	NOUN
cana-5765	77	17	to	to	PART
cana-5765	77	18	analyze	analyze	VERB
cana-5765	77	19	intricate	intricate	ADJ
cana-5765	77	20	details	detail	NOUN
cana-5765	77	21	in	in	ADP
cana-5765	77	22	brain	brain	NOUN
cana-5765	77	23	scans	scan	NOUN
cana-5765	77	24	while	while	SCONJ
cana-5765	77	25	keeping	keep	VERB
cana-5765	77	26	computational	computational	ADJ
cana-5765	77	27	requirements	requirement	NOUN
cana-5765	77	28	low	low	ADJ
cana-5765	77	29	.	.	PUNCT
cana-5765	78	1	3	3	X
cana-5765	78	2	.	.	X
cana-5765	78	3	mobilenet	mobilenet	NOUN
cana-5765	78	4	:	:	PUNCT
cana-5765	79	1	mobilenet	mobilenet	PROPN
cana-5765	79	2	is	be	AUX
cana-5765	79	3	a	a	DET
cana-5765	79	4	lightweight	lightweight	ADJ
cana-5765	79	5	model	model	NOUN
cana-5765	79	6	designed	design	VERB
cana-5765	79	7	for	for	ADP
cana-5765	79	8	devices	device	NOUN
cana-5765	79	9	with	with	ADP
cana-5765	79	10	limited	limited	ADJ
cana-5765	79	11	computational	computational	ADJ
cana-5765	79	12	power	power	NOUN
cana-5765	79	13	.	.	PUNCT
cana-5765	80	1	it	it	PRON
cana-5765	80	2	employs	employ	VERB
cana-5765	80	3	depthwise	depthwise	NOUN
cana-5765	80	4	separable	separable	ADJ
cana-5765	80	5	convolutions	convolution	NOUN
cana-5765	80	6	to	to	PART
cana-5765	80	7	reduce	reduce	VERB
cana-5765	80	8	the	the	DET
cana-5765	80	9	number	number	NOUN
cana-5765	80	10	of	of	ADP
cana-5765	80	11	parameters	parameter	NOUN
cana-5765	80	12	and	and	CCONJ
cana-5765	80	13	computations	computation	NOUN
cana-5765	80	14	,	,	PUNCT
cana-5765	80	15	making	make	VERB
cana-5765	80	16	it	it	PRON
cana-5765	80	17	a	a	DET
cana-5765	80	18	suitable	suitable	ADJ
cana-5765	80	19	option	option	NOUN
cana-5765	80	20	for	for	ADP
cana-5765	80	21	real	real	ADJ
cana-5765	80	22	-	-	PUNCT
cana-5765	80	23	time	time	NOUN
cana-5765	80	24	stroke	stroke	NOUN
cana-5765	80	25	detection	detection	NOUN
cana-5765	80	26	in	in	ADP
cana-5765	80	27	portable	portable	ADJ
cana-5765	80	28	medical	medical	ADJ
cana-5765	80	29	applications	application	NOUN
cana-5765	80	30	.	.	PUNCT
cana-5765	81	1	4	4	X
cana-5765	81	2	.	.	X
cana-5765	81	3	resnet	resnet	NOUN
cana-5765	81	4	:	:	PUNCT
cana-5765	81	5	resnet	resnet	PROPN
cana-5765	81	6	's	's	PART
cana-5765	81	7	distinguishing	distinguish	VERB
cana-5765	81	8	feature	feature	NOUN
cana-5765	81	9	is	be	AUX
cana-5765	81	10	its	its	PRON
cana-5765	81	11	use	use	NOUN
cana-5765	81	12	of	of	ADP
cana-5765	81	13	residual	residual	ADJ
cana-5765	81	14	blocks	block	NOUN
cana-5765	81	15	,	,	PUNCT
cana-5765	81	16	which	which	PRON
cana-5765	81	17	address	address	VERB
cana-5765	81	18	the	the	DET
cana-5765	81	19	vanishing	vanish	VERB
cana-5765	81	20	gradient	gradient	ADJ
cana-5765	81	21	problem	problem	NOUN
cana-5765	81	22	in	in	ADP
cana-5765	81	23	deep	deep	ADJ
cana-5765	81	24	networks	network	NOUN
cana-5765	81	25	.	.	PUNCT
cana-5765	82	1	this	this	PRON
cana-5765	82	2	enables	enable	VERB
cana-5765	82	3	the	the	DET
cana-5765	82	4	model	model	NOUN
cana-5765	82	5	to	to	PART
cana-5765	82	6	maintain	maintain	VERB
cana-5765	82	7	high	high	ADJ
cana-5765	82	8	accuracy	accuracy	NOUN
cana-5765	82	9	when	when	SCONJ
cana-5765	82	10	analyzing	analyze	VERB
cana-5765	82	11	complex	complex	ADJ
cana-5765	82	12	brain	brain	NOUN
cana-5765	82	13	images	image	NOUN
cana-5765	82	14	,	,	PUNCT
cana-5765	82	15	ensuring	ensure	VERB
cana-5765	82	16	that	that	SCONJ
cana-5765	82	17	subtle	subtle	ADJ
cana-5765	82	18	features	feature	NOUN
cana-5765	82	19	indicative	indicative	ADJ
cana-5765	82	20	of	of	ADP
cana-5765	82	21	stroke	stroke	NOUN
cana-5765	82	22	are	be	AUX
cana-5765	82	23	effectively	effectively	ADV
cana-5765	82	24	captured	capture	VERB
cana-5765	82	25	.	.	PUNCT
cana-5765	83	1	each	each	DET
cana-5765	83	2	algorithm	algorithm	NOUN
cana-5765	83	3	is	be	AUX
cana-5765	83	4	benchmarked	benchmarke	VERB
cana-5765	83	5	to	to	PART
cana-5765	83	6	compare	compare	VERB
cana-5765	83	7	their	their	PRON
cana-5765	83	8	strengths	strength	NOUN
cana-5765	83	9	and	and	CCONJ
cana-5765	83	10	weaknesses	weakness	NOUN
cana-5765	83	11	,	,	PUNCT
cana-5765	83	12	ensuring	ensure	VERB
cana-5765	83	13	that	that	SCONJ
cana-5765	83	14	the	the	DET
cana-5765	83	15	most	most	ADV
cana-5765	83	16	suitable	suitable	ADJ
cana-5765	83	17	model	model	NOUN
cana-5765	83	18	for	for	ADP
cana-5765	83	19	stroke	stroke	NOUN
cana-5765	83	20	detection	detection	NOUN
cana-5765	83	21	is	be	AUX
cana-5765	83	22	identified	identify	VERB
cana-5765	83	23	based	base	VERB
cana-5765	83	24	on	on	ADP
cana-5765	83	25	clinical	clinical	ADJ
cana-5765	83	26	and	and	CCONJ
cana-5765	83	27	computational	computational	ADJ
cana-5765	83	28	requirements	requirement	NOUN
cana-5765	83	29	.	.	PUNCT
cana-5765	84	1	communications	communication	NOUN
cana-5765	84	2	on	on	ADP
cana-5765	84	3	applied	apply	VERB
cana-5765	84	4	nonlinear	nonlinear	ADJ
cana-5765	84	5	analysis	analysis	NOUN
cana-5765	84	6	issn	issn	NOUN
cana-5765	84	7	:	:	PUNCT
cana-5765	84	8	1074	1074	NUM
cana-5765	84	9	-	-	PUNCT
cana-5765	84	10	133x	133x	NUM
cana-5765	84	11	vol	vol	NOUN
cana-5765	84	12	32	32	NUM
cana-5765	84	13	no	no	NOUN
cana-5765	84	14	.	.	PUNCT
cana-5765	85	1	3s	3s	NUM
cana-5765	85	2	(	(	PUNCT
cana-5765	85	3	2025	2025	NUM
cana-5765	85	4	)	)	PUNCT
cana-5765	85	5	883	883	NUM
cana-5765	85	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5765	85	7	5	5	NUM
cana-5765	85	8	.	.	PUNCT
cana-5765	85	9	system	system	NOUN
cana-5765	85	10	architecture	architecture	NOUN
cana-5765	85	11	:	:	PUNCT
cana-5765	85	12	fig	fig	NOUN
cana-5765	85	13	5.1	5.1	NUM
cana-5765	85	14	proposed	propose	VERB
cana-5765	85	15	cnn	cnn	PROPN
cana-5765	85	16	model	model	PROPN
cana-5765	85	17	model	model	PROPN
cana-5765	85	18	summary	summary	NOUN
cana-5765	85	19	:	:	PUNCT
cana-5765	85	20	fig	fig	NOUN
cana-5765	85	21	5.1	5.1	NUM
cana-5765	85	22	describes	describe	VERB
cana-5765	85	23	the	the	DET
cana-5765	85	24	proposed	propose	VERB
cana-5765	85	25	system	system	NOUN
cana-5765	85	26	architecture	architecture	NOUN
cana-5765	85	27	which	which	PRON
cana-5765	85	28	is	be	AUX
cana-5765	85	29	defined	define	VERB
cana-5765	85	30	as	as	ADP
cana-5765	85	31	below	below	ADP
cana-5765	85	32	•	•	NOUN
cana-5765	85	33	a	a	DET
cana-5765	85	34	deep	deep	ADJ
cana-5765	85	35	cnn	cnn	NOUN
cana-5765	85	36	with	with	ADP
cana-5765	85	37	4	4	NUM
cana-5765	85	38	convolutional	convolutional	ADJ
cana-5765	85	39	layers	layer	NOUN
cana-5765	85	40	,	,	PUNCT
cana-5765	85	41	each	each	PRON
cana-5765	85	42	followed	follow	VERB
cana-5765	85	43	by	by	ADP
cana-5765	85	44	max	max	PROPN
cana-5765	85	45	pooling	pooling	NOUN
cana-5765	86	1	•	•	NOUN
cana-5765	86	2	ends	end	VERB
cana-5765	86	3	with	with	ADP
cana-5765	86	4	two	two	NUM
cana-5765	86	5	dense	dense	ADJ
cana-5765	86	6	layers	layer	NOUN
cana-5765	86	7	(	(	PUNCT
cana-5765	86	8	500	500	NUM
cana-5765	86	9	units	unit	NOUN
cana-5765	86	10	each	each	PRON
cana-5765	86	11	)	)	PUNCT
cana-5765	86	12	and	and	CCONJ
cana-5765	86	13	dropout	dropout	NOUN
cana-5765	86	14	•	•	ADP
cana-5765	86	15	final	final	ADJ
cana-5765	86	16	dense	dense	ADJ
cana-5765	86	17	layer	layer	NOUN
cana-5765	86	18	with	with	ADP
cana-5765	86	19	1	1	NUM
cana-5765	86	20	output	output	NOUN
cana-5765	86	21	,	,	PUNCT
cana-5765	86	22	indicating	indicate	VERB
cana-5765	86	23	a	a	DET
cana-5765	86	24	binary	binary	ADJ
cana-5765	86	25	classification	classification	NOUN
cana-5765	86	26	task	task	NOUN
cana-5765	86	27	6	6	NUM
cana-5765	86	28	.	.	PUNCT
cana-5765	86	29	data	datum	NOUN
cana-5765	86	30	analysis	analysis	NOUN
cana-5765	86	31	&	&	CCONJ
cana-5765	86	32	results	result	NOUN
cana-5765	86	33	cnn	cnn	PROPN
cana-5765	86	34	model	model	NOUN
cana-5765	86	35	performance	performance	NOUN
cana-5765	86	36	:	:	PUNCT
cana-5765	86	37	below	below	ADV
cana-5765	86	38	is	be	AUX
cana-5765	86	39	the	the	DET
cana-5765	86	40	performance	performance	NOUN
cana-5765	86	41	of	of	ADP
cana-5765	86	42	cnn	cnn	PROPN
cana-5765	86	43	model	model	NOUN
cana-5765	86	44	which	which	PRON
cana-5765	86	45	has	have	AUX
cana-5765	86	46	achieved	achieve	VERB
cana-5765	86	47	the	the	DET
cana-5765	86	48	highest	high	ADJ
cana-5765	86	49	accuracy	accuracy	NOUN
cana-5765	86	50	figure	figure	NOUN
cana-5765	86	51	6.1	6.1	NUM
cana-5765	86	52	:	:	PUNCT
cana-5765	86	53	training	training	NOUN
cana-5765	86	54	and	and	CCONJ
cana-5765	86	55	validation	validation	NOUN
cana-5765	86	56	accuracy	accuracy	NOUN
cana-5765	86	57	figure	figure	NOUN
cana-5765	86	58	6.2	6.2	NUM
cana-5765	86	59	:	:	PUNCT
cana-5765	86	60	training	training	NOUN
cana-5765	86	61	and	and	CCONJ
cana-5765	86	62	validation	validation	NOUN
cana-5765	86	63	loss	loss	NOUN
cana-5765	86	64	communications	communication	NOUN
cana-5765	86	65	on	on	ADP
cana-5765	86	66	applied	apply	VERB
cana-5765	86	67	nonlinear	nonlinear	ADJ
cana-5765	86	68	analysis	analysis	NOUN
cana-5765	86	69	issn	issn	NOUN
cana-5765	86	70	:	:	PUNCT
cana-5765	86	71	1074	1074	NUM
cana-5765	86	72	-	-	PUNCT
cana-5765	86	73	133x	133x	NUM
cana-5765	86	74	vol	vol	NOUN
cana-5765	86	75	32	32	NUM
cana-5765	86	76	no	no	NOUN
cana-5765	86	77	.	.	PUNCT
cana-5765	87	1	3s	3s	NUM
cana-5765	87	2	(	(	PUNCT
cana-5765	87	3	2025	2025	NUM
cana-5765	87	4	)	)	PUNCT
cana-5765	87	5	884	884	NUM
cana-5765	88	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-5765	88	2	figure	figure	NOUN
cana-5765	88	3	6.3	6.3	NUM
cana-5765	88	4	:	:	PUNCT
cana-5765	88	5	roc	roc	PROPN
cana-5765	88	6	curve	curve	NOUN
cana-5765	88	7	figure	figure	NOUN
cana-5765	88	8	6.4	6.4	NUM
cana-5765	88	9	:	:	PUNCT
cana-5765	88	10	precision	precision	NOUN
cana-5765	88	11	recall	recall	NOUN
cana-5765	88	12	curve	curve	PROPN
cana-5765	88	13	figure	figure	NOUN
cana-5765	88	14	6.5	6.5	NUM
cana-5765	88	15	:	:	PUNCT
cana-5765	88	16	confusion	confusion	NOUN
cana-5765	88	17	matrix	matrix	NOUN
cana-5765	88	18	figure	figure	NOUN
cana-5765	88	19	6.6	6.6	NUM
cana-5765	88	20	:	:	PUNCT
cana-5765	88	21	classification	classification	NOUN
cana-5765	88	22	report	report	NOUN
cana-5765	88	23	below	below	ADV
cana-5765	88	24	is	be	AUX
cana-5765	88	25	the	the	DET
cana-5765	88	26	comparison	comparison	NOUN
cana-5765	88	27	of	of	ADP
cana-5765	88	28	the	the	DET
cana-5765	88	29	evaluation	evaluation	NOUN
cana-5765	88	30	metrics	metric	NOUN
cana-5765	88	31	for	for	ADP
cana-5765	88	32	the	the	DET
cana-5765	88	33	tested	test	VERB
cana-5765	88	34	algorithms	algorithms	NOUN
cana-5765	88	35	model	model	NOUN
cana-5765	88	36	accuracy	accuracy	NOUN
cana-5765	88	37	precision	precision	NOUN
cana-5765	88	38	recall	recall	VERB
cana-5765	88	39	f1	f1	NOUN
cana-5765	88	40	-	-	PUNCT
cana-5765	88	41	score	score	NOUN
cana-5765	88	42	resnet	resnet	NOUN
cana-5765	88	43	65	65	NUM
cana-5765	88	44	68	68	NUM
cana-5765	88	45	68	68	NUM
cana-5765	88	46	65	65	NUM
cana-5765	88	47	inception	inception	PROPN
cana-5765	88	48	v3	v3	PROPN
cana-5765	88	49	73	73	NUM
cana-5765	88	50	70	70	NUM
cana-5765	88	51	72	72	NUM
cana-5765	88	52	71	71	NUM
cana-5765	88	53	mobilenet	mobilenet	NOUN
cana-5765	88	54	85	85	NUM
cana-5765	88	55	85	85	NUM
cana-5765	88	56	84	84	NUM
cana-5765	88	57	85	85	NUM
cana-5765	88	58	cnn	cnn	PROPN
cana-5765	88	59	98	98	NUM
cana-5765	88	60	97	97	NUM
cana-5765	88	61	97	97	NUM
cana-5765	88	62	97	97	NUM
cana-5765	88	63	table	table	NOUN
cana-5765	88	64	6.1	6.1	NUM
cana-5765	88	65	.	.	PUNCT
cana-5765	88	66	model	model	NOUN
cana-5765	88	67	comparision	comparision	NOUN
cana-5765	88	68	communications	communication	NOUN
cana-5765	88	69	on	on	ADP
cana-5765	88	70	applied	apply	VERB
cana-5765	88	71	nonlinear	nonlinear	ADJ
cana-5765	88	72	analysis	analysis	NOUN
cana-5765	88	73	issn	issn	NOUN
cana-5765	88	74	:	:	PUNCT
cana-5765	88	75	1074	1074	NUM
cana-5765	88	76	-	-	PUNCT
cana-5765	88	77	133x	133x	NUM
cana-5765	88	78	vol	vol	NOUN
cana-5765	88	79	32	32	NUM
cana-5765	88	80	no	no	NOUN
cana-5765	88	81	.	.	PUNCT
cana-5765	89	1	3s	3s	NUM
cana-5765	89	2	(	(	PUNCT
cana-5765	89	3	2025	2025	NUM
cana-5765	89	4	)	)	PUNCT
cana-5765	89	5	885	885	NUM
cana-5765	89	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5765	89	7	fig	fig	NOUN
cana-5765	89	8	6.7	6.7	NUM
cana-5765	89	9	accuracy	accuracy	NOUN
cana-5765	89	10	comparision	comparision	NOUN
cana-5765	89	11	it	it	PRON
cana-5765	89	12	can	can	AUX
cana-5765	89	13	be	be	AUX
cana-5765	89	14	observed	observe	VERB
cana-5765	89	15	that	that	SCONJ
cana-5765	89	16	the	the	DET
cana-5765	89	17	cnn	cnn	PROPN
cana-5765	89	18	algorithm	algorithm	PROPN
cana-5765	89	19	achieves	achieve	VERB
cana-5765	89	20	the	the	DET
cana-5765	89	21	highest	high	ADJ
cana-5765	89	22	with	with	ADP
cana-5765	89	23	respect	respect	NOUN
cana-5765	89	24	to	to	ADP
cana-5765	89	25	all	all	DET
cana-5765	89	26	evaluation	evaluation	NOUN
cana-5765	89	27	metrics	metric	NOUN
cana-5765	89	28	.	.	PUNCT
cana-5765	90	1	the	the	DET
cana-5765	90	2	above	above	ADJ
cana-5765	90	3	bar	bar	NOUN
cana-5765	90	4	graph	graph	NOUN
cana-5765	90	5	in	in	ADP
cana-5765	90	6	fig	fig	NOUN
cana-5765	90	7	6.7	6.7	NUM
cana-5765	90	8	compares	compare	VERB
cana-5765	90	9	the	the	DET
cana-5765	90	10	performance	performance	NOUN
cana-5765	90	11	of	of	ADP
cana-5765	90	12	four	four	NUM
cana-5765	90	13	deep	deep	ADJ
cana-5765	90	14	learning	learning	NOUN
cana-5765	90	15	models	model	NOUN
cana-5765	90	16	—	—	PUNCT
cana-5765	90	17	resnet	resnet	NOUN
cana-5765	90	18	,	,	PUNCT
cana-5765	90	19	inception	inception	PROPN
cana-5765	90	20	v3	v3	PROPN
cana-5765	90	21	,	,	PUNCT
cana-5765	90	22	mobilenet	mobilenet	NOUN
cana-5765	90	23	,	,	PUNCT
cana-5765	90	24	and	and	CCONJ
cana-5765	90	25	a	a	DET
cana-5765	90	26	custom	custom	NOUN
cana-5765	90	27	cnn	cnn	PROPN
cana-5765	90	28	—	—	PUNCT
cana-5765	90	29	across	across	ADP
cana-5765	90	30	four	four	NUM
cana-5765	90	31	evaluation	evaluation	NOUN
cana-5765	90	32	metrics	metric	NOUN
cana-5765	90	33	:	:	PUNCT
cana-5765	90	34	accuracy	accuracy	NOUN
cana-5765	90	35	,	,	PUNCT
cana-5765	90	36	precision	precision	NOUN
cana-5765	90	37	,	,	PUNCT
cana-5765	90	38	recall	recall	NOUN
cana-5765	90	39	,	,	PUNCT
cana-5765	90	40	and	and	CCONJ
cana-5765	90	41	f1	f1	NOUN
cana-5765	90	42	-	-	PUNCT
cana-5765	90	43	score	score	NOUN
cana-5765	90	44	.	.	PUNCT
cana-5765	91	1	•	•	NUM
cana-5765	91	2	custom	custom	NOUN
cana-5765	91	3	cnn	cnn	PROPN
cana-5765	91	4	outperforms	outperform	VERB
cana-5765	91	5	all	all	DET
cana-5765	91	6	other	other	ADJ
cana-5765	91	7	models	model	NOUN
cana-5765	91	8	significantly	significantly	ADV
cana-5765	91	9	,	,	PUNCT
cana-5765	91	10	achieving	achieve	VERB
cana-5765	91	11	98	98	NUM
cana-5765	91	12	%	%	NOUN
cana-5765	91	13	accuracy	accuracy	NOUN
cana-5765	91	14	,	,	PUNCT
cana-5765	91	15	97	97	NUM
cana-5765	91	16	%	%	NOUN
cana-5765	91	17	precision	precision	NOUN
cana-5765	91	18	,	,	PUNCT
cana-5765	91	19	98	98	NUM
cana-5765	91	20	%	%	NOUN
cana-5765	91	21	recall	recall	NOUN
cana-5765	91	22	,	,	PUNCT
cana-5765	91	23	and	and	CCONJ
cana-5765	91	24	98	98	NUM
cana-5765	91	25	%	%	NOUN
cana-5765	91	26	f1	f1	NOUN
cana-5765	91	27	-	-	PUNCT
cana-5765	91	28	score	score	NOUN
cana-5765	91	29	.	.	PUNCT
cana-5765	92	1	•	•	NUM
cana-5765	92	2	mobilenet	mobilenet	NOUN
cana-5765	92	3	performs	perform	VERB
cana-5765	92	4	reasonably	reasonably	ADV
cana-5765	92	5	well	well	ADV
cana-5765	92	6	with	with	ADP
cana-5765	92	7	all	all	DET
cana-5765	92	8	metrics	metric	NOUN
cana-5765	92	9	around	around	ADP
cana-5765	92	10	84–85	84–85	NUM
cana-5765	92	11	%	%	NOUN
cana-5765	92	12	,	,	PUNCT
cana-5765	92	13	showing	show	VERB
cana-5765	92	14	a	a	DET
cana-5765	92	15	balanced	balanced	ADJ
cana-5765	92	16	performance	performance	NOUN
cana-5765	92	17	.	.	PUNCT
cana-5765	93	1	•	•	NUM
cana-5765	93	2	inception	inception	PROPN
cana-5765	93	3	v3	v3	PROPN
cana-5765	93	4	achieves	achieve	VERB
cana-5765	93	5	moderate	moderate	ADJ
cana-5765	93	6	results	result	NOUN
cana-5765	93	7	with	with	ADP
cana-5765	93	8	accuracy	accuracy	NOUN
cana-5765	93	9	around	around	ADP
cana-5765	93	10	73	73	NUM
cana-5765	93	11	%	%	NOUN
cana-5765	93	12	,	,	PUNCT
cana-5765	93	13	while	while	SCONJ
cana-5765	93	14	resnet	resnet	NOUN
cana-5765	93	15	performs	perform	VERB
cana-5765	93	16	the	the	DET
cana-5765	93	17	lowest	low	ADJ
cana-5765	93	18	across	across	ADP
cana-5765	93	19	all	all	DET
cana-5765	93	20	metrics	metric	NOUN
cana-5765	93	21	,	,	PUNCT
cana-5765	93	22	especially	especially	ADV
cana-5765	93	23	in	in	ADP
cana-5765	93	24	accuracy	accuracy	NOUN
cana-5765	93	25	(	(	PUNCT
cana-5765	93	26	65	65	NUM
cana-5765	93	27	%	%	NOUN
cana-5765	93	28	)	)	PUNCT
cana-5765	93	29	.	.	PUNCT
cana-5765	94	1	7	7	X
cana-5765	94	2	.	.	X
cana-5765	94	3	conclusion	conclusion	NOUN
cana-5765	94	4	and	and	CCONJ
cana-5765	94	5	future	future	ADJ
cana-5765	94	6	scope	scope	NOUN
cana-5765	94	7	the	the	DET
cana-5765	94	8	“	"	PUNCT
cana-5765	94	9	brain	brain	NOUN
cana-5765	94	10	stroke	stroke	NOUN
cana-5765	94	11	detection	detection	NOUN
cana-5765	94	12	system	system	NOUN
cana-5765	94	13	based	base	VERB
cana-5765	94	14	on	on	ADP
cana-5765	94	15	ct	ct	NUM
cana-5765	94	16	images	image	NOUN
cana-5765	94	17	using	use	VERB
cana-5765	94	18	deep	deep	ADJ
cana-5765	94	19	learning	learning	NOUN
cana-5765	94	20	”	"	PUNCT
cana-5765	94	21	highlights	highlight	NOUN
cana-5765	94	22	the	the	DET
cana-5765	94	23	powerful	powerful	ADJ
cana-5765	94	24	role	role	NOUN
cana-5765	94	25	of	of	ADP
cana-5765	94	26	artificial	artificial	ADJ
cana-5765	94	27	intelligence	intelligence	NOUN
cana-5765	94	28	—	—	PUNCT
cana-5765	94	29	especially	especially	ADV
cana-5765	94	30	convolutional	convolutional	ADJ
cana-5765	94	31	neural	neural	ADJ
cana-5765	94	32	networks	network	NOUN
cana-5765	94	33	(	(	PUNCT
cana-5765	94	34	cnns)—in	cnns)—in	X
cana-5765	94	35	enhancing	enhance	VERB
cana-5765	94	36	both	both	CCONJ
cana-5765	94	37	the	the	DET
cana-5765	94	38	speed	speed	NOUN
cana-5765	94	39	and	and	CCONJ
cana-5765	94	40	accuracy	accuracy	NOUN
cana-5765	94	41	of	of	ADP
cana-5765	94	42	stroke	stroke	NOUN
cana-5765	94	43	diagnosis	diagnosis	NOUN
cana-5765	94	44	.	.	PUNCT
cana-5765	95	1	trained	train	VERB
cana-5765	95	2	on	on	ADP
cana-5765	95	3	a	a	DET
cana-5765	95	4	diverse	diverse	ADJ
cana-5765	95	5	dataset	dataset	NOUN
cana-5765	95	6	,	,	PUNCT
cana-5765	95	7	the	the	DET
cana-5765	95	8	system	system	NOUN
cana-5765	95	9	achieved	achieve	VERB
cana-5765	95	10	high	high	ADJ
cana-5765	95	11	performance	performance	NOUN
cana-5765	95	12	with	with	ADP
cana-5765	95	13	a	a	DET
cana-5765	95	14	training	training	NOUN
cana-5765	95	15	accuracy	accuracy	NOUN
cana-5765	95	16	of	of	ADP
cana-5765	95	17	98.00	98.00	NUM
cana-5765	95	18	%	%	NOUN
cana-5765	95	19	and	and	CCONJ
cana-5765	95	20	a	a	DET
cana-5765	95	21	validation	validation	NOUN
cana-5765	95	22	accuracy	accuracy	NOUN
cana-5765	95	23	of	of	ADP
cana-5765	95	24	97.00	97.00	NUM
cana-5765	95	25	%	%	NOUN
cana-5765	95	26	,	,	PUNCT
cana-5765	95	27	demonstrating	demonstrate	VERB
cana-5765	95	28	its	its	PRON
cana-5765	95	29	effectiveness	effectiveness	NOUN
cana-5765	95	30	in	in	ADP
cana-5765	95	31	accurately	accurately	ADV
cana-5765	95	32	identifying	identify	VERB
cana-5765	95	33	stroke	stroke	NOUN
cana-5765	95	34	from	from	ADP
cana-5765	95	35	ct	ct	NUM
cana-5765	95	36	images	image	NOUN
cana-5765	95	37	.	.	PUNCT
cana-5765	96	1	the	the	DET
cana-5765	96	2	user	user	NOUN
cana-5765	96	3	-	-	PUNCT
cana-5765	96	4	friendly	friendly	ADJ
cana-5765	96	5	web	web	NOUN
cana-5765	96	6	interface	interface	NOUN
cana-5765	96	7	,	,	PUNCT
cana-5765	96	8	built	build	VERB
cana-5765	96	9	with	with	ADP
cana-5765	96	10	flask	flask	NOUN
cana-5765	96	11	and	and	CCONJ
cana-5765	96	12	designed	design	VERB
cana-5765	96	13	using	use	VERB
cana-5765	96	14	html	html	NOUN
cana-5765	96	15	,	,	PUNCT
cana-5765	96	16	css	css	PROPN
cana-5765	96	17	,	,	PUNCT
cana-5765	96	18	and	and	CCONJ
cana-5765	96	19	javascript	javascript	NOUN
cana-5765	96	20	,	,	PUNCT
cana-5765	96	21	offers	offer	VERB
cana-5765	96	22	healthcare	healthcare	NOUN
cana-5765	96	23	professionals	professional	NOUN
cana-5765	96	24	a	a	DET
cana-5765	96	25	seamless	seamless	ADJ
cana-5765	96	26	way	way	NOUN
cana-5765	96	27	to	to	PART
cana-5765	96	28	upload	upload	VERB
cana-5765	96	29	images	image	NOUN
cana-5765	96	30	and	and	CCONJ
cana-5765	96	31	receive	receive	VERB
cana-5765	96	32	rapid	rapid	ADJ
cana-5765	96	33	diagnostic	diagnostic	ADJ
cana-5765	96	34	results.this	results.this	NOUN
cana-5765	96	35	project	project	NOUN
cana-5765	96	36	offers	offer	VERB
cana-5765	96	37	a	a	DET
cana-5765	96	38	practical	practical	ADJ
cana-5765	96	39	and	and	CCONJ
cana-5765	96	40	scalable	scalable	ADJ
cana-5765	96	41	solution	solution	NOUN
cana-5765	96	42	for	for	ADP
cana-5765	96	43	early	early	ADJ
cana-5765	96	44	stroke	stroke	NOUN
cana-5765	96	45	detection	detection	NOUN
cana-5765	96	46	,	,	PUNCT
cana-5765	96	47	which	which	PRON
cana-5765	96	48	is	be	AUX
cana-5765	96	49	crucial	crucial	ADJ
cana-5765	96	50	in	in	ADP
cana-5765	96	51	urgent	urgent	ADJ
cana-5765	96	52	,	,	PUNCT
cana-5765	96	53	resource	resource	NOUN
cana-5765	96	54	-	-	PUNCT
cana-5765	96	55	limited	limit	VERB
cana-5765	96	56	healthcare	healthcare	NOUN
cana-5765	96	57	settings	setting	NOUN
cana-5765	96	58	.	.	PUNCT
cana-5765	97	1	by	by	ADP
cana-5765	97	2	reducing	reduce	VERB
cana-5765	97	3	dependency	dependency	NOUN
cana-5765	97	4	on	on	ADP
cana-5765	97	5	manual	manual	ADJ
cana-5765	97	6	interpretation	interpretation	NOUN
cana-5765	97	7	,	,	PUNCT
cana-5765	97	8	minimizing	minimize	VERB
cana-5765	97	9	diagnostic	diagnostic	ADJ
cana-5765	97	10	errors	error	NOUN
cana-5765	97	11	,	,	PUNCT
cana-5765	97	12	and	and	CCONJ
cana-5765	97	13	communications	communication	NOUN
cana-5765	97	14	on	on	ADP
cana-5765	97	15	applied	apply	VERB
cana-5765	97	16	nonlinear	nonlinear	ADJ
cana-5765	97	17	analysis	analysis	NOUN
cana-5765	97	18	issn	issn	NOUN
cana-5765	97	19	:	:	PUNCT
cana-5765	97	20	1074	1074	NUM
cana-5765	97	21	-	-	PUNCT
cana-5765	97	22	133x	133x	NUM
cana-5765	97	23	vol	vol	NOUN
cana-5765	97	24	32	32	NUM
cana-5765	97	25	no	no	NOUN
cana-5765	97	26	.	.	PUNCT
cana-5765	98	1	3s	3s	NUM
cana-5765	98	2	(	(	PUNCT
cana-5765	98	3	2025	2025	NUM
cana-5765	98	4	)	)	PUNCT
cana-5765	98	5	886	886	NUM
cana-5765	98	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5765	98	7	delivering	deliver	VERB
cana-5765	98	8	quick	quick	ADJ
cana-5765	98	9	and	and	CCONJ
cana-5765	98	10	consistent	consistent	ADJ
cana-5765	98	11	results	result	NOUN
cana-5765	98	12	,	,	PUNCT
cana-5765	98	13	the	the	DET
cana-5765	98	14	system	system	NOUN
cana-5765	98	15	serves	serve	VERB
cana-5765	98	16	as	as	ADP
cana-5765	98	17	an	an	DET
cana-5765	98	18	efficient	efficient	ADJ
cana-5765	98	19	tool	tool	NOUN
cana-5765	98	20	for	for	ADP
cana-5765	98	21	preliminary	preliminary	ADJ
cana-5765	98	22	stroke	stroke	NOUN
cana-5765	98	23	screening	screen	VERB
cana-5765	98	24	.	.	PUNCT
cana-5765	99	1	future	future	ADJ
cana-5765	99	2	scope	scope	NOUN
cana-5765	99	3	although	although	SCONJ
cana-5765	99	4	the	the	DET
cana-5765	99	5	current	current	ADJ
cana-5765	99	6	system	system	NOUN
cana-5765	99	7	performs	perform	VERB
cana-5765	99	8	robustly	robustly	ADV
cana-5765	99	9	,	,	PUNCT
cana-5765	99	10	several	several	ADJ
cana-5765	99	11	opportunities	opportunity	NOUN
cana-5765	99	12	exist	exist	VERB
cana-5765	99	13	for	for	ADP
cana-5765	99	14	further	further	ADJ
cana-5765	99	15	development	development	NOUN
cana-5765	99	16	:	:	PUNCT
cana-5765	99	17	model	model	NOUN
cana-5765	99	18	refinement	refinement	NOUN
cana-5765	99	19	and	and	CCONJ
cana-5765	99	20	dataset	dataset	ADJ
cana-5765	99	21	growth	growth	NOUN
cana-5765	99	22	:	:	PUNCT
cana-5765	99	23	utilizing	utilize	VERB
cana-5765	99	24	more	more	ADV
cana-5765	99	25	advanced	advanced	ADJ
cana-5765	99	26	cnn	cnn	PROPN
cana-5765	99	27	architectures	architecture	NOUN
cana-5765	99	28	like	like	ADP
cana-5765	99	29	resnet	resnet	NOUN
cana-5765	99	30	or	or	CCONJ
cana-5765	99	31	efficientnet	efficientnet	NOUN
cana-5765	99	32	could	could	AUX
cana-5765	99	33	further	far	ADV
cana-5765	99	34	improve	improve	VERB
cana-5765	99	35	accuracy	accuracy	NOUN
cana-5765	99	36	.	.	PUNCT
cana-5765	100	1	expanding	expand	VERB
cana-5765	100	2	the	the	DET
cana-5765	100	3	dataset	dataset	NOUN
cana-5765	100	4	to	to	PART
cana-5765	100	5	cover	cover	VERB
cana-5765	100	6	a	a	DET
cana-5765	100	7	broader	broad	ADJ
cana-5765	100	8	range	range	NOUN
cana-5765	100	9	of	of	ADP
cana-5765	100	10	stroke	stroke	NOUN
cana-5765	100	11	types	type	NOUN
cana-5765	100	12	,	,	PUNCT
cana-5765	100	13	including	include	VERB
cana-5765	100	14	ischemic	ischemic	ADJ
cana-5765	100	15	and	and	CCONJ
cana-5765	100	16	hemorrhagic	hemorrhagic	NOUN
cana-5765	100	17	strokes	stroke	NOUN
cana-5765	100	18	,	,	PUNCT
cana-5765	100	19	will	will	AUX
cana-5765	100	20	enhance	enhance	VERB
cana-5765	100	21	the	the	DET
cana-5765	100	22	model	model	NOUN
cana-5765	100	23	’s	’s	PART
cana-5765	100	24	applicability.integration	applicability.integration	NOUN
cana-5765	100	25	of	of	ADP
cana-5765	100	26	multi	multi	ADJ
cana-5765	100	27	-	-	ADJ
cana-5765	100	28	modal	modal	ADJ
cana-5765	100	29	data	datum	NOUN
cana-5765	100	30	:	:	PUNCT
cana-5765	100	31	incorporating	incorporate	VERB
cana-5765	100	32	additional	additional	ADJ
cana-5765	100	33	imaging	imaging	NOUN
cana-5765	100	34	methods	method	NOUN
cana-5765	100	35	such	such	ADJ
cana-5765	100	36	as	as	ADP
cana-5765	100	37	mri	mri	NOUN
cana-5765	100	38	,	,	PUNCT
cana-5765	100	39	along	along	ADP
cana-5765	100	40	with	with	ADP
cana-5765	100	41	clinical	clinical	ADJ
cana-5765	100	42	data	datum	NOUN
cana-5765	100	43	like	like	ADP
cana-5765	100	44	symptoms	symptom	NOUN
cana-5765	100	45	,	,	PUNCT
cana-5765	100	46	patient	patient	ADJ
cana-5765	100	47	age	age	NOUN
cana-5765	100	48	,	,	PUNCT
cana-5765	100	49	and	and	CCONJ
cana-5765	100	50	medical	medical	ADJ
cana-5765	100	51	history	history	NOUN
cana-5765	100	52	,	,	PUNCT
cana-5765	100	53	could	could	AUX
cana-5765	100	54	boost	boost	VERB
cana-5765	100	55	diagnostic	diagnostic	ADJ
cana-5765	100	56	accuracy	accuracy	NOUN
cana-5765	100	57	and	and	CCONJ
cana-5765	100	58	clinical	clinical	ADJ
cana-5765	100	59	usefulness.mobile	usefulness.mobile	ADJ
cana-5765	100	60	application	application	NOUN
cana-5765	100	61	development	development	NOUN
cana-5765	100	62	:	:	PUNCT
cana-5765	100	63	developing	develop	VERB
cana-5765	100	64	a	a	DET
cana-5765	100	65	mobile	mobile	ADJ
cana-5765	100	66	app	app	NOUN
cana-5765	100	67	version	version	NOUN
cana-5765	100	68	of	of	ADP
cana-5765	100	69	the	the	DET
cana-5765	100	70	system	system	NOUN
cana-5765	100	71	would	would	AUX
cana-5765	100	72	increase	increase	VERB
cana-5765	100	73	accessibility	accessibility	NOUN
cana-5765	100	74	,	,	PUNCT
cana-5765	100	75	especially	especially	ADV
cana-5765	100	76	in	in	ADP
cana-5765	100	77	rural	rural	ADJ
cana-5765	100	78	or	or	CCONJ
cana-5765	100	79	under	under	ADV
cana-5765	100	80	-	-	PUNCT
cana-5765	100	81	resourced	resource	VERB
cana-5765	100	82	areas	area	NOUN
cana-5765	100	83	with	with	ADP
cana-5765	100	84	limited	limited	ADJ
cana-5765	100	85	medical	medical	ADJ
cana-5765	100	86	infrastructure.seamless	infrastructure.seamless	PROPN
cana-5765	100	87	hospital	hospital	NOUN
cana-5765	100	88	integration	integration	NOUN
cana-5765	100	89	:	:	PUNCT
cana-5765	100	90	connecting	connect	VERB
cana-5765	100	91	the	the	DET
cana-5765	100	92	system	system	NOUN
cana-5765	100	93	to	to	ADP
cana-5765	100	94	hospital	hospital	NOUN
cana-5765	100	95	databases	database	NOUN
cana-5765	100	96	and	and	CCONJ
cana-5765	100	97	electronic	electronic	ADJ
cana-5765	100	98	health	health	NOUN
cana-5765	100	99	record	record	NOUN
cana-5765	100	100	(	(	PUNCT
cana-5765	100	101	ehr	ehr	NOUN
cana-5765	100	102	)	)	PUNCT
cana-5765	100	103	systems	system	NOUN
cana-5765	100	104	would	would	AUX
cana-5765	100	105	optimize	optimize	VERB
cana-5765	100	106	workflow	workflow	NOUN
cana-5765	100	107	and	and	CCONJ
cana-5765	100	108	enable	enable	VERB
cana-5765	100	109	comprehensive	comprehensive	ADJ
cana-5765	100	110	patient	patient	NOUN
cana-5765	100	111	care	care	NOUN
cana-5765	100	112	management.explainable	management.explainable	PROPN
cana-5765	100	113	ai	ai	VERB
cana-5765	100	114	features	feature	NOUN
cana-5765	100	115	:	:	PUNCT
cana-5765	100	116	incorporating	incorporate	VERB
cana-5765	100	117	interpretability	interpretability	NOUN
cana-5765	100	118	tools	tool	NOUN
cana-5765	100	119	such	such	ADJ
cana-5765	100	120	as	as	ADP
cana-5765	100	121	heatmaps	heatmap	NOUN
cana-5765	100	122	or	or	CCONJ
cana-5765	100	123	grad	grad	NOUN
cana-5765	100	124	-	-	PUNCT
cana-5765	100	125	cam	cam	NOUN
cana-5765	100	126	would	would	AUX
cana-5765	100	127	help	help	VERB
cana-5765	100	128	clinicians	clinician	NOUN
cana-5765	100	129	understand	understand	VERB
cana-5765	100	130	the	the	DET
cana-5765	100	131	model	model	NOUN
cana-5765	100	132	’s	’s	PART
cana-5765	100	133	decision	decision	NOUN
cana-5765	100	134	-	-	PUNCT
cana-5765	100	135	making	make	VERB
cana-5765	100	136	process	process	NOUN
cana-5765	100	137	,	,	PUNCT
cana-5765	100	138	building	build	VERB
cana-5765	100	139	trust	trust	NOUN
cana-5765	100	140	and	and	CCONJ
cana-5765	100	141	transparency.real	transparency.real	ADJ
cana-5765	100	142	-	-	PUNCT
cana-5765	100	143	time	time	NOUN
cana-5765	100	144	detection	detection	NOUN
cana-5765	100	145	and	and	CCONJ
cana-5765	100	146	alert	alert	NOUN
cana-5765	100	147	systems	system	NOUN
cana-5765	100	148	:	:	PUNCT
cana-5765	100	149	future	future	ADJ
cana-5765	100	150	versions	version	NOUN
cana-5765	100	151	could	could	AUX
cana-5765	100	152	enable	enable	VERB
cana-5765	100	153	real	real	ADJ
cana-5765	100	154	-	-	PUNCT
cana-5765	100	155	time	time	NOUN
cana-5765	100	156	image	image	NOUN
cana-5765	100	157	analysis	analysis	NOUN
cana-5765	100	158	and	and	CCONJ
cana-5765	100	159	be	be	AUX
cana-5765	100	160	integrated	integrate	VERB
cana-5765	100	161	with	with	ADP
cana-5765	100	162	emergency	emergency	NOUN
cana-5765	100	163	response	response	NOUN
cana-5765	100	164	workflows	workflow	VERB
cana-5765	100	165	to	to	PART
cana-5765	100	166	automatically	automatically	ADV
cana-5765	100	167	alert	alert	VERB
cana-5765	100	168	healthcare	healthcare	NOUN
cana-5765	100	169	providers	provider	NOUN
cana-5765	100	170	of	of	ADP
cana-5765	100	171	potential	potential	ADJ
cana-5765	100	172	stroke	stroke	NOUN
cana-5765	100	173	cases	case	NOUN
cana-5765	100	174	needing	need	VERB
cana-5765	100	175	immediate	immediate	ADJ
cana-5765	100	176	attention	attention	NOUN
cana-5765	100	177	.	.	PUNCT
cana-5765	101	1	references	reference	NOUN
cana-5765	101	2	1	1	NUM
cana-5765	101	3	)	)	PUNCT
cana-5765	101	4	agrawal	agrawal	PROPN
cana-5765	101	5	,	,	PUNCT
cana-5765	101	6	d.	d.	PROPN
cana-5765	101	7	,	,	PUNCT
cana-5765	101	8	poonamallee	poonamallee	PROPN
cana-5765	101	9	,	,	PUNCT
cana-5765	101	10	l.	l.	PROPN
cana-5765	101	11	,	,	PUNCT
cana-5765	101	12	&	&	CCONJ
cana-5765	101	13	joshi	joshi	PROPN
cana-5765	101	14	,	,	PUNCT
cana-5765	101	15	s.	s.	PROPN
cana-5765	101	16	(	(	PUNCT
cana-5765	101	17	2023	2023	NUM
cana-5765	101	18	)	)	PUNCT
cana-5765	101	19	.	.	PUNCT
cana-5765	102	1	automated	automate	VERB
cana-5765	102	2	detection	detection	NOUN
cana-5765	102	3	of	of	ADP
cana-5765	102	4	intracranial	intracranial	ADJ
cana-5765	102	5	hemorrhage	hemorrhage	NOUN
cana-5765	102	6	from	from	ADP
cana-5765	102	7	head	head	NOUN
cana-5765	102	8	ct	ct	PROPN
cana-5765	102	9	scans	scan	NOUN
cana-5765	102	10	applying	apply	VERB
cana-5765	102	11	deep	deep	ADJ
cana-5765	102	12	learning	learning	NOUN
cana-5765	102	13	techniques	technique	NOUN
cana-5765	102	14	in	in	ADP
cana-5765	102	15	traumatic	traumatic	ADJ
cana-5765	102	16	brain	brain	NOUN
cana-5765	102	17	injuries	injury	NOUN
cana-5765	102	18	:	:	PUNCT
cana-5765	102	19	a	a	DET
cana-5765	102	20	comparative	comparative	ADJ
cana-5765	102	21	review	review	NOUN
cana-5765	102	22	.	.	PUNCT
cana-5765	103	1	indian	indian	PROPN
cana-5765	103	2	journal	journal	PROPN
cana-5765	103	3	of	of	ADP
cana-5765	103	4	neurotrauma	neurotrauma	PROPN
cana-5765	103	5	,	,	PUNCT
cana-5765	103	6	20(2	20(2	NUM
cana-5765	103	7	)	)	PUNCT
cana-5765	103	8	,	,	PUNCT
cana-5765	103	9	81–88	81–88	NUM
cana-5765	103	10	.	.	PUNCT
cana-5765	104	1	https://doi.org/10.1055/s-0043-1770770	https://doi.org/10.1055/s-0043-1770770	NOUN
cana-5765	104	2	.	.	NOUN
cana-5765	105	1	2	2	X
cana-5765	105	2	)	)	PUNCT
cana-5765	105	3	t.	t.	PROPN
cana-5765	105	4	d.	d.	PROPN
cana-5765	105	5	phong	phong	PROPN
cana-5765	105	6	,	,	PUNCT
cana-5765	105	7	n.	n.	PROPN
cana-5765	105	8	t.	t.	PROPN
cana-5765	105	9	trong	trong	PROPN
cana-5765	105	10	,	,	PUNCT
cana-5765	105	11	h.	h.	PROPN
cana-5765	105	12	n.	n.	PROPN
cana-5765	105	13	duong	duong	PROPN
cana-5765	105	14	,	,	PUNCT
cana-5765	105	15	v.	v.	PROPN
cana-5765	105	16	h.	h.	PROPN
cana-5765	105	17	nguyen	nguyen	PROPN
cana-5765	105	18	,	,	PUNCT
cana-5765	105	19	v.	v.	PROPN
cana-5765	105	20	snasel	snasel	NOUN
cana-5765	105	21	,	,	PUNCT
cana-5765	105	22	h.	h.	PROPN
cana-5765	105	23	t.	t.	PROPN
cana-5765	105	24	nguyen	nguyen	PROPN
cana-5765	105	25	,	,	PUNCT
cana-5765	105	26	and	and	CCONJ
cana-5765	105	27	3	3	X
cana-5765	105	28	)	)	PUNCT
cana-5765	105	29	v.	v.	ADP
cana-5765	105	30	h.	h.	PROPN
cana-5765	105	31	tran	tran	PROPN
cana-5765	105	32	,	,	PUNCT
cana-5765	105	33	“	"	PUNCT
cana-5765	105	34	brain	brain	NOUN
cana-5765	105	35	hemorrhage	hemorrhage	NOUN
cana-5765	105	36	diagnosis	diagnosis	NOUN
cana-5765	105	37	by	by	ADP
cana-5765	105	38	using	use	VERB
cana-5765	105	39	deep	deep	ADJ
cana-5765	105	40	learning	learning	NOUN
cana-5765	105	41	,	,	PUNCT
cana-5765	105	42	”	"	PUNCT
cana-5765	105	43	in	in	ADP
cana-5765	105	44	proceedings	proceeding	NOUN
cana-5765	105	45	of	of	ADP
cana-5765	105	46	the	the	DET
cana-5765	105	47	2017	2017	NUM
cana-5765	105	48	9th	9th	ADJ
cana-5765	105	49	international	international	ADJ
cana-5765	105	50	conference	conference	NOUN
cana-5765	105	51	on	on	ADP
cana-5765	105	52	knowledge	knowledge	NOUN
cana-5765	105	53	and	and	CCONJ
cana-5765	105	54	systems	system	NOUN
cana-5765	105	55	engineering	engineering	NOUN
cana-5765	105	56	(	(	PUNCT
cana-5765	105	57	kse	kse	PROPN
cana-5765	105	58	)	)	PUNCT
cana-5765	105	59	,	,	PUNCT
cana-5765	105	60	jan	jan	PROPN
cana-5765	105	61	.	.	PROPN
cana-5765	105	62	2017	2017	NUM
cana-5765	105	63	,	,	PUNCT
cana-5765	105	64	pp	pp	ADJ
cana-5765	105	65	.	.	PUNCT
cana-5765	106	1	256–261	256–261	NUM
cana-5765	106	2	.	.	PUNCT
cana-5765	106	3	doi	doi	NOUN
cana-5765	106	4	:	:	PUNCT
cana-5765	106	5	10.1145/3036290.3036326	10.1145/3036290.3036326	NUM
cana-5765	106	6	4	4	NUM
cana-5765	106	7	)	)	PUNCT
cana-5765	106	8	j.	j.	PROPN
cana-5765	106	9	s.	s.	PROPN
cana-5765	106	10	castro	castro	PROPN
cana-5765	106	11	,	,	PUNCT
cana-5765	106	12	s.	s.	PROPN
cana-5765	106	13	chabert	chabert	PROPN
cana-5765	106	14	,	,	PUNCT
cana-5765	106	15	c.	c.	PROPN
cana-5765	106	16	saavedra	saavedra	PROPN
cana-5765	106	17	,	,	PUNCT
cana-5765	106	18	and	and	CCONJ
cana-5765	106	19	r.	r.	PROPN
cana-5765	106	20	salas	salas	PROPN
cana-5765	106	21	,	,	PUNCT
cana-5765	106	22	"	"	PUNCT
cana-5765	106	23	convolutional	convolutional	ADJ
cana-5765	106	24	neural	neural	ADJ
cana-5765	106	25	networks	network	NOUN
cana-5765	106	26	for	for	ADP
cana-5765	106	27	detection	detection	NOUN
cana-5765	106	28	intracranial	intracranial	ADJ
cana-5765	106	29	hemorrhage	hemorrhage	NOUN
cana-5765	106	30	in	in	ADP
cana-5765	106	31	ct	ct	NUM
cana-5765	106	32	images	image	NOUN
cana-5765	106	33	,	,	PUNCT
cana-5765	106	34	"	"	PUNCT
cana-5765	106	35	proceedings	proceeding	NOUN
cana-5765	106	36	of	of	ADP
cana-5765	106	37	the	the	DET
cana-5765	106	38	4th	4th	ADJ
cana-5765	106	39	congress	congress	PROPN
cana-5765	106	40	on	on	ADP
cana-5765	106	41	robotics	robotic	NOUN
cana-5765	106	42	and	and	CCONJ
cana-5765	106	43	neuroscience	neuroscience	NOUN
cana-5765	106	44	,	,	PUNCT
cana-5765	106	45	mar	mar	PROPN
cana-5765	106	46	.	.	PROPN
cana-5765	106	47	2020	2020	NUM
cana-5765	106	48	.	.	PUNCT
cana-5765	107	1	[	[	X
cana-5765	107	2	online	online	X
cana-5765	107	3	]	]	X
cana-5765	107	4	.	.	PUNCT
cana-5765	108	1	available	available	ADJ
cana-5765	108	2	:	:	PUNCT
cana-5765	108	3	https://www.researchgate.net/publication/339795647	https://www.researchgate.net/publication/339795647	PROPN
cana-5765	108	4	5	5	NUM
cana-5765	108	5	)	)	PUNCT
cana-5765	108	6	s.	s.	PROPN
cana-5765	108	7	ahmed	ahmed	PROPN
cana-5765	108	8	,	,	PUNCT
cana-5765	108	9	j.	j.	PROPN
cana-5765	108	10	f.	f.	PROPN
cana-5765	108	11	esha	esha	PROPN
cana-5765	108	12	,	,	PUNCT
cana-5765	108	13	m.	m.	PROPN
cana-5765	108	14	s.	s.	PROPN
cana-5765	108	15	rahman	rahman	PROPN
cana-5765	108	16	,	,	PUNCT
cana-5765	108	17	m.	m.	PROPN
cana-5765	108	18	s.	s.	PROPN
cana-5765	108	19	kaiser	kaiser	PROPN
cana-5765	108	20	,	,	PUNCT
cana-5765	108	21	a.	a.	PROPN
cana-5765	108	22	s.	s.	PROPN
cana-5765	108	23	m.	m.	PROPN
cana-5765	108	24	s.	s.	PROPN
cana-5765	108	25	hosen	hosen	PROPN
cana-5765	108	26	,	,	PUNCT
cana-5765	108	27	d.	d.	PROPN
cana-5765	108	28	ghimire	ghimire	PROPN
cana-5765	108	29	,	,	PUNCT
cana-5765	108	30	and	and	CCONJ
cana-5765	108	31	m.	m.	PROPN
cana-5765	108	32	j.	j.	PROPN
cana-5765	108	33	park	park	PROPN
cana-5765	108	34	,	,	PUNCT
cana-5765	108	35	“	"	PUNCT
cana-5765	108	36	exploring	explore	VERB
cana-5765	108	37	deep	deep	ADJ
cana-5765	108	38	learning	learning	NOUN
cana-5765	108	39	and	and	CCONJ
cana-5765	108	40	machine	machine	NOUN
cana-5765	108	41	learning	learning	NOUN
cana-5765	108	42	approaches	approach	NOUN
cana-5765	108	43	for	for	ADP
cana-5765	108	44	brain	brain	NOUN
cana-5765	108	45	hemorrhage	hemorrhage	NOUN
cana-5765	108	46	detection	detection	NOUN
cana-5765	108	47	,	,	PUNCT
cana-5765	108	48	”	"	PUNCT
cana-5765	108	49	ieee	ieee	NOUN
cana-5765	108	50	access	access	NOUN
cana-5765	108	51	,	,	PUNCT
cana-5765	108	52	vol	vol	NOUN
cana-5765	108	53	.	.	PROPN
cana-5765	108	54	12	12	NUM
cana-5765	108	55	,	,	PUNCT
cana-5765	108	56	pp	pp	ADJ
cana-5765	108	57	.	.	PUNCT
cana-5765	109	1	45060–45081	45060–45081	NUM
cana-5765	109	2	,	,	PUNCT
cana-5765	109	3	2024	2024	NUM
cana-5765	109	4	,	,	PUNCT
cana-5765	109	5	doi	doi	NOUN
cana-5765	109	6	:	:	PUNCT
cana-5765	109	7	10.1109	10.1109	NUM
cana-5765	109	8	/	/	SYM
cana-5765	109	9	access.2024.3376438	access.2024.3376438	NOUN
cana-5765	109	10	.	.	NOUN
cana-5765	109	11	6	6	NUM
cana-5765	109	12	)	)	PUNCT
cana-5765	109	13	.yeo	.yeo	NOUN
cana-5765	109	14	,	,	PUNCT
cana-5765	109	15	m.	m.	NOUN
cana-5765	109	16	,	,	PUNCT
cana-5765	109	17	tahayori	tahayori	PROPN
cana-5765	109	18	,	,	PUNCT
cana-5765	109	19	b.	b.	PROPN
cana-5765	109	20	,	,	PUNCT
cana-5765	109	21	kok	kok	PROPN
cana-5765	109	22	,	,	PUNCT
cana-5765	109	23	h.	h.	PROPN
cana-5765	109	24	k.	k.	PROPN
cana-5765	109	25	,	,	PUNCT
cana-5765	109	26	et	et	PROPN
cana-5765	109	27	al	al	PROPN
cana-5765	109	28	.	.	PROPN
cana-5765	109	29	(	(	PUNCT
cana-5765	109	30	2023	2023	NUM
cana-5765	109	31	)	)	PUNCT
cana-5765	109	32	.	.	PUNCT
cana-5765	110	1	evaluation	evaluation	NOUN
cana-5765	110	2	of	of	ADP
cana-5765	110	3	techniques	technique	NOUN
cana-5765	110	4	to	to	PART
cana-5765	110	5	improve	improve	VERB
cana-5765	110	6	a	a	DET
cana-5765	110	7	deep	deep	ADJ
cana-5765	110	8	learning	learning	NOUN
cana-5765	110	9	algorithm	algorithm	NOUN
cana-5765	110	10	for	for	ADP
cana-5765	110	11	the	the	DET
cana-5765	110	12	automatic	automatic	ADJ
cana-5765	110	13	detection	detection	NOUN
cana-5765	110	14	of	of	ADP
cana-5765	110	15	intracranial	intracranial	ADJ
cana-5765	110	16	haemorrhage	haemorrhage	NOUN
cana-5765	110	17	on	on	ADP
cana-5765	110	18	ct	ct	NUM
cana-5765	110	19	https://doi.org/10.1055/s-0043-1770770	https://doi.org/10.1055/s-0043-1770770	NOUN
cana-5765	110	20	https://www.researchgate.net/publication/339795647	https://www.researchgate.net/publication/339795647	NOUN
cana-5765	110	21	communications	communication	NOUN
cana-5765	110	22	on	on	ADP
cana-5765	110	23	applied	apply	VERB
cana-5765	110	24	nonlinear	nonlinear	ADJ
cana-5765	110	25	analysis	analysis	NOUN
cana-5765	110	26	issn	issn	NOUN
cana-5765	110	27	:	:	PUNCT
cana-5765	110	28	1074	1074	NUM
cana-5765	110	29	-	-	PUNCT
cana-5765	110	30	133x	133x	NUM
cana-5765	110	31	vol	vol	NOUN
cana-5765	110	32	32	32	NUM
cana-5765	110	33	no	no	NOUN
cana-5765	110	34	.	.	PUNCT
cana-5765	111	1	3s	3s	NUM
cana-5765	111	2	(	(	PUNCT
cana-5765	111	3	2025	2025	NUM
cana-5765	111	4	)	)	PUNCT
cana-5765	111	5	887	887	NUM
cana-5765	111	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5765	111	7	head	head	NOUN
cana-5765	111	8	imaging.european	imaging.european	ADJ
cana-5765	111	9	radiology	radiology	NOUN
cana-5765	111	10	experimental	experimental	NOUN
cana-5765	111	11	,	,	PUNCT
cana-5765	111	12	7(1	7(1	NUM
cana-5765	111	13	)	)	PUNCT
cana-5765	111	14	,	,	PUNCT
cana-5765	111	15	17	17	NUM
cana-5765	111	16	.	.	PUNCT
cana-5765	112	1	https://doi.org/10.1186/s41747-023-00330-3	https://doi.org/10.1186/s41747-023-00330-3	NUM
cana-5765	112	2	7	7	X
cana-5765	112	3	)	)	PUNCT
cana-5765	112	4	zhang	zhang	PROPN
cana-5765	112	5	,	,	PUNCT
cana-5765	112	6	y.	y.	PROPN
cana-5765	112	7	,	,	PUNCT
cana-5765	112	8	liu	liu	PROPN
cana-5765	112	9	,	,	PUNCT
cana-5765	112	10	y.	y.	PROPN
cana-5765	112	11	,	,	PUNCT
cana-5765	112	12	wang	wang	PROPN
cana-5765	112	13	,	,	PUNCT
cana-5765	112	14	y.	y.	PROPN
cana-5765	112	15	,	,	PUNCT
cana-5765	112	16	et	et	PROPN
cana-5765	112	17	al	al	PROPN
cana-5765	112	18	.	.	PROPN
cana-5765	112	19	(	(	PUNCT
cana-5765	112	20	2020	2020	NUM
cana-5765	112	21	)	)	PUNCT
cana-5765	112	22	.	.	PUNCT
cana-5765	113	1	deep	deep	ADJ
cana-5765	113	2	learning	learning	NOUN
cana-5765	113	3	for	for	ADP
cana-5765	113	4	hemorrhagic	hemorrhagic	NOUN
cana-5765	113	5	lesion	lesion	NOUN
cana-5765	113	6	detection	detection	NOUN
cana-5765	113	7	and	and	CCONJ
cana-5765	113	8	segmentation	segmentation	NOUN
cana-5765	113	9	on	on	ADP
cana-5765	113	10	brain	brain	NOUN
cana-5765	113	11	ct	ct	NUM
cana-5765	113	12	images	image	NOUN
cana-5765	113	13	.	.	PUNCT
cana-5765	114	1	computers	computer	NOUN
cana-5765	114	2	in	in	ADP
cana-5765	114	3	biology	biology	NOUN
cana-5765	114	4	and	and	CCONJ
cana-5765	114	5	medicine	medicine	NOUN
cana-5765	114	6	,	,	PUNCT
cana-5765	114	7	124	124	NUM
cana-5765	114	8	,	,	PUNCT
cana-5765	114	9	103956	103956	NUM
cana-5765	114	10	.	.	PUNCT
cana-5765	115	1	8)	8)	NUM
cana-5765	115	2	yang	yang	PROPN
cana-5765	115	3	,	,	PUNCT
cana-5765	115	4	y.	y.	PROPN
cana-5765	115	5	,	,	PUNCT
cana-5765	115	6	zheng	zheng	PROPN
cana-5765	115	7	,	,	PUNCT
cana-5765	115	8	j.	j.	PROPN
cana-5765	115	9	,	,	PUNCT
cana-5765	115	10	du	du	PROPN
cana-5765	115	11	,	,	PUNCT
cana-5765	115	12	z.	z.	PROPN
cana-5765	115	13	,	,	PUNCT
cana-5765	115	14	li	li	PROPN
cana-5765	115	15	,	,	PUNCT
cana-5765	115	16	y.	y.	PROPN
cana-5765	115	17	,	,	PUNCT
cana-5765	115	18	&	&	CCONJ
cana-5765	115	19	cai	cai	PROPN
cana-5765	115	20	,	,	PUNCT
cana-5765	115	21	y.	y.	PROPN
cana-5765	115	22	(	(	PUNCT
cana-5765	115	23	2021	2021	NUM
cana-5765	115	24	)	)	PUNCT
cana-5765	115	25	.	.	PUNCT
cana-5765	116	1	accurate	accurate	ADJ
cana-5765	116	2	prediction	prediction	NOUN
cana-5765	116	3	of	of	ADP
cana-5765	116	4	stroke	stroke	NOUN
cana-5765	116	5	for	for	ADP
cana-5765	116	6	hypertensive	hypertensive	ADJ
cana-5765	116	7	patients	patient	NOUN
cana-5765	116	8	based	base	VERB
cana-5765	116	9	on	on	ADP
cana-5765	116	10	medical	medical	ADJ
cana-5765	116	11	big	big	ADJ
cana-5765	116	12	data	datum	NOUN
cana-5765	116	13	and	and	CCONJ
cana-5765	116	14	machine	machine	NOUN
cana-5765	116	15	learning	learning	NOUN
cana-5765	116	16	algorithms	algorithm	NOUN
cana-5765	116	17	:	:	PUNCT
cana-5765	116	18	retrospective	retrospective	ADJ
cana-5765	116	19	study	study	NOUN
cana-5765	116	20	.	.	PUNCT
cana-5765	117	1	jmir	jmir	PROPN
cana-5765	117	2	medical	medical	PROPN
cana-5765	117	3	informatics	informatics	PROPN
cana-5765	117	4	,	,	PUNCT
cana-5765	117	5	9(11	9(11	NUM
cana-5765	117	6	)	)	PUNCT
cana-5765	117	7	,	,	PUNCT
cana-5765	117	8	e30277	e30277	NOUN
cana-5765	117	9	.	.	PUNCT
cana-5765	118	1	https://doi.org/10.2196/30277&#8203	https://doi.org/10.2196/30277&#8203	PROPN
cana-5765	118	2	https://doi.org/10.1016/j.compbiomed.2020.103956	https://doi.org/10.1016/j.compbiomed.2020.103956	NOUN
cana-5765	118	3	https://doi.org/10.2196/30277%26#8203	https://doi.org/10.2196/30277%26#8203	NOUN