id	sid	tid	token	lemma	pos
cana-4848	1	1	communications	communication	NOUN
cana-4848	1	2	on	on	ADP
cana-4848	1	3	applied	apply	VERB
cana-4848	1	4	nonlinear	nonlinear	ADJ
cana-4848	1	5	analysis	analysis	NOUN
cana-4848	1	6	issn	issn	NOUN
cana-4848	1	7	:	:	PUNCT
cana-4848	1	8	1074	1074	NUM
cana-4848	1	9	-	-	PUNCT
cana-4848	1	10	133x	133x	NUM
cana-4848	1	11	vol	vol	VERB
cana-4848	1	12	32	32	NUM
cana-4848	1	13	no	no	NOUN
cana-4848	1	14	.	.	PUNCT
cana-4848	2	1	10s	10	NOUN
cana-4848	2	2	(	(	PUNCT
cana-4848	2	3	2025	2025	NUM
cana-4848	2	4	)	)	PUNCT
cana-4848	2	5	582	582	NUM
cana-4848	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4848	2	7	evaluation	evaluation	NOUN
cana-4848	2	8	effectiveness	effectiveness	NOUN
cana-4848	2	9	of	of	ADP
cana-4848	2	10	brain	brain	NOUN
cana-4848	2	11	tumors	tumor	NOUN
cana-4848	2	12	detection	detection	NOUN
cana-4848	2	13	using	use	VERB
cana-4848	2	14	deep	deep	ADJ
cana-4848	2	15	learning	learning	NOUN
cana-4848	2	16	:	:	PUNCT
cana-4848	2	17	a	a	DET
cana-4848	2	18	comparative	comparative	ADJ
cana-4848	2	19	analysis	analysis	NOUN
cana-4848	2	20	1asha	1asha	NUM
cana-4848	2	21	p.	p.	NOUN
cana-4848	2	22	chaudhari	chaudhari	PROPN
cana-4848	2	23	,	,	PUNCT
cana-4848	2	24	2dr	2dr	ADJ
cana-4848	2	25	.	.	PUNCT
cana-4848	3	1	dinesh	dinesh	PROPN
cana-4848	3	2	jain	jain	PROPN
cana-4848	3	3	1sage	1sage	PROPN
cana-4848	3	4	university	university	PROPN
cana-4848	3	5	indore	indore	PROPN
cana-4848	3	6	mp	mp	PROPN
cana-4848	3	7	india	india	PROPN
cana-4848	3	8	2sage	2sage	PROPN
cana-4848	3	9	university	university	NOUN
cana-4848	3	10	indore	indore	PROPN
cana-4848	3	11	mp	mp	PROPN
cana-4848	3	12	india	india	PROPN
cana-4848	3	13	article	article	PROPN
cana-4848	3	14	history	history	NOUN
cana-4848	3	15	:	:	PUNCT
cana-4848	3	16	received	receive	VERB
cana-4848	3	17	:	:	PUNCT
cana-4848	3	18	12	12	NUM
cana-4848	3	19	-	-	SYM
cana-4848	3	20	01	01	NUM
cana-4848	3	21	-	-	PUNCT
cana-4848	3	22	2025	2025	NUM
cana-4848	3	23	revised	revise	VERB
cana-4848	3	24	:	:	PUNCT
cana-4848	3	25	15	15	NUM
cana-4848	3	26	-	-	NUM
cana-4848	3	27	02	02	NUM
cana-4848	3	28	-	-	PUNCT
cana-4848	3	29	2025	2025	NUM
cana-4848	3	30	accepted	accept	VERB
cana-4848	3	31	:	:	PUNCT
cana-4848	3	32	01	01	NUM
cana-4848	3	33	-	-	SYM
cana-4848	3	34	03	03	NUM
cana-4848	3	35	-	-	PUNCT
cana-4848	3	36	2025	2025	NUM
cana-4848	3	37	abstract	abstract	NOUN
cana-4848	3	38	:	:	PUNCT
cana-4848	3	39	an	an	DET
cana-4848	3	40	important	important	ADJ
cana-4848	3	41	health	health	NOUN
cana-4848	3	42	issue	issue	NOUN
cana-4848	3	43	in	in	ADP
cana-4848	3	44	india	india	PROPN
cana-4848	3	45	is	be	AUX
cana-4848	3	46	brain	brain	NOUN
cana-4848	3	47	tumor	tumor	NOUN
cana-4848	3	48	,	,	PUNCT
cana-4848	3	49	which	which	PRON
cana-4848	3	50	add	add	VERB
cana-4848	3	51	to	to	ADP
cana-4848	3	52	the	the	DET
cana-4848	3	53	nation	nation	NOUN
cana-4848	3	54	's	's	PART
cana-4848	3	55	overall	overall	ADJ
cana-4848	3	56	cancer	cancer	NOUN
cana-4848	3	57	burden	burden	NOUN
cana-4848	3	58	.	.	PUNCT
cana-4848	4	1	the	the	DET
cana-4848	4	2	number	number	NOUN
cana-4848	4	3	of	of	ADP
cana-4848	4	4	cases	case	NOUN
cana-4848	4	5	of	of	ADP
cana-4848	4	6	brain	brain	NOUN
cana-4848	4	7	tumors	tumor	NOUN
cana-4848	4	8	rising	rise	VERB
cana-4848	4	9	from	from	ADP
cana-4848	4	10	last	last	ADJ
cana-4848	4	11	decades	decade	NOUN
cana-4848	4	12	so	so	SCONJ
cana-4848	4	13	research	research	NOUN
cana-4848	4	14	on	on	ADP
cana-4848	4	15	this	this	DET
cana-4848	4	16	issue	issue	NOUN
cana-4848	4	17	is	be	AUX
cana-4848	4	18	important	important	ADJ
cana-4848	4	19	for	for	ADP
cana-4848	4	20	improving	improve	VERB
cana-4848	4	21	timely	timely	ADJ
cana-4848	4	22	diagnosis	diagnosis	NOUN
cana-4848	4	23	,	,	PUNCT
cana-4848	4	24	treatment	treatment	NOUN
cana-4848	4	25	and	and	CCONJ
cana-4848	4	26	patient	patient	ADJ
cana-4848	4	27	health	health	NOUN
cana-4848	4	28	.	.	PUNCT
cana-4848	5	1	latest	late	ADJ
cana-4848	5	2	technologies	technology	NOUN
cana-4848	5	3	such	such	ADJ
cana-4848	5	4	as	as	ADP
cana-4848	5	5	deep	deep	ADJ
cana-4848	5	6	learning	learning	NOUN
cana-4848	5	7	(	(	PUNCT
cana-4848	5	8	dl	dl	INTJ
cana-4848	5	9	)	)	PUNCT
cana-4848	5	10	shows	show	VERB
cana-4848	5	11	significant	significant	ADJ
cana-4848	5	12	potential	potential	NOUN
cana-4848	5	13	for	for	ADP
cana-4848	5	14	detecting	detect	VERB
cana-4848	5	15	brain	brain	NOUN
cana-4848	5	16	tumors	tumor	NOUN
cana-4848	5	17	at	at	ADP
cana-4848	5	18	early	early	ADJ
cana-4848	5	19	stage	stage	NOUN
cana-4848	5	20	.	.	PUNCT
cana-4848	6	1	this	this	PRON
cana-4848	6	2	surpassing	surpass	VERB
cana-4848	6	3	traditional	traditional	ADJ
cana-4848	6	4	diagnostic	diagnostic	ADJ
cana-4848	6	5	methods	method	NOUN
cana-4848	6	6	and	and	CCONJ
cana-4848	6	7	helps	help	VERB
cana-4848	6	8	healthcare	healthcare	NOUN
cana-4848	6	9	professionals	professional	NOUN
cana-4848	6	10	for	for	ADP
cana-4848	6	11	detection	detection	NOUN
cana-4848	6	12	of	of	ADP
cana-4848	6	13	brain	brain	NOUN
cana-4848	6	14	tumors	tumor	NOUN
cana-4848	6	15	at	at	ADP
cana-4848	6	16	early	early	ADJ
cana-4848	6	17	stages	stage	NOUN
cana-4848	6	18	.	.	PUNCT
cana-4848	7	1	in	in	ADP
cana-4848	7	2	this	this	DET
cana-4848	7	3	paper	paper	NOUN
cana-4848	7	4	we	we	PRON
cana-4848	7	5	perform	perform	VERB
cana-4848	7	6	comparative	comparative	ADJ
cana-4848	7	7	analysis	analysis	NOUN
cana-4848	7	8	of	of	ADP
cana-4848	7	9	brain	brain	NOUN
cana-4848	7	10	tumors	tumor	NOUN
cana-4848	7	11	detection	detection	NOUN
cana-4848	7	12	using	use	VERB
cana-4848	7	13	machine	machine	NOUN
cana-4848	7	14	learning	learning	NOUN
cana-4848	7	15	(	(	PUNCT
cana-4848	7	16	ml	ml	NOUN
cana-4848	7	17	)	)	PUNCT
cana-4848	7	18	and	and	CCONJ
cana-4848	7	19	deep	deep	ADJ
cana-4848	7	20	learning	learning	NOUN
cana-4848	7	21	.	.	PUNCT
cana-4848	8	1	dl	dl	PROPN
cana-4848	8	2	model	model	PROPN
cana-4848	8	3	such	such	ADJ
cana-4848	8	4	as	as	ADP
cana-4848	8	5	convolutional	convolutional	ADJ
cana-4848	8	6	neural	neural	ADJ
cana-4848	8	7	network	network	NOUN
cana-4848	8	8	(	(	PUNCT
cana-4848	8	9	cnn	cnn	PROPN
cana-4848	8	10	)	)	PUNCT
cana-4848	8	11	,	,	PUNCT
cana-4848	8	12	vgg19	vgg19	PROPN
cana-4848	8	13	,	,	PUNCT
cana-4848	8	14	resnetv2	resnetv2	NOUN
cana-4848	8	15	,	,	PUNCT
cana-4848	8	16	densenet121	densenet121	PROPN
cana-4848	8	17	were	be	AUX
cana-4848	8	18	used	use	VERB
cana-4848	8	19	to	to	PART
cana-4848	8	20	train	train	VERB
cana-4848	8	21	the	the	DET
cana-4848	8	22	model	model	NOUN
cana-4848	8	23	.	.	PUNCT
cana-4848	9	1	introduction	introduction	NOUN
cana-4848	9	2	:	:	PUNCT
cana-4848	9	3	unusual	unusual	ADJ
cana-4848	9	4	cell	cell	NOUN
cana-4848	9	5	growth	growth	NOUN
cana-4848	9	6	in	in	ADP
cana-4848	9	7	the	the	DET
cana-4848	9	8	brain	brain	NOUN
cana-4848	9	9	or	or	CCONJ
cana-4848	9	10	central	central	ADJ
cana-4848	9	11	spinal	spinal	ADJ
cana-4848	9	12	canal	canal	NOUN
cana-4848	9	13	is	be	AUX
cana-4848	9	14	called	call	VERB
cana-4848	9	15	a	a	DET
cana-4848	9	16	brain	brain	NOUN
cana-4848	9	17	tumors	tumor	NOUN
cana-4848	9	18	.	.	PUNCT
cana-4848	10	1	the	the	DET
cana-4848	10	2	two	two	NUM
cana-4848	10	3	main	main	ADJ
cana-4848	10	4	categories	category	NOUN
cana-4848	10	5	of	of	ADP
cana-4848	10	6	these	these	DET
cana-4848	10	7	tumors	tumor	NOUN
cana-4848	10	8	are	be	AUX
cana-4848	10	9	benign	benign	ADJ
cana-4848	10	10	and	and	CCONJ
cana-4848	10	11	malignant	malignant	ADJ
cana-4848	10	12	.	.	PUNCT
cana-4848	11	1	malignant	malignant	ADJ
cana-4848	11	2	cells	cell	NOUN
cana-4848	11	3	are	be	AUX
cana-4848	11	4	cancerous	cancerous	ADJ
cana-4848	11	5	,	,	PUNCT
cana-4848	11	6	however	however	ADV
cana-4848	11	7	benign	benign	ADJ
cana-4848	11	8	ones	one	NOUN
cana-4848	11	9	are	be	AUX
cana-4848	11	10	not	not	PART
cana-4848	11	11	.	.	PUNCT
cana-4848	12	1	malignant	malignant	ADJ
cana-4848	12	2	tumors	tumor	NOUN
cana-4848	12	3	can	can	AUX
cana-4848	12	4	be	be	AUX
cana-4848	12	5	aggressive	aggressive	ADJ
cana-4848	12	6	,	,	PUNCT
cana-4848	12	7	spreading	spread	VERB
cana-4848	12	8	to	to	ADP
cana-4848	12	9	other	other	ADJ
cana-4848	12	10	sections	section	NOUN
cana-4848	12	11	of	of	ADP
cana-4848	12	12	the	the	DET
cana-4848	12	13	brain	brain	NOUN
cana-4848	12	14	and	and	CCONJ
cana-4848	12	15	possibly	possibly	ADV
cana-4848	12	16	compromising	compromise	VERB
cana-4848	12	17	general	general	ADJ
cana-4848	12	18	health	health	NOUN
cana-4848	12	19	,	,	PUNCT
cana-4848	12	20	whereas	whereas	SCONJ
cana-4848	12	21	benign	benign	ADJ
cana-4848	12	22	tumors	tumor	NOUN
cana-4848	12	23	typically	typically	ADV
cana-4848	12	24	develop	develop	VERB
cana-4848	12	25	slowly	slowly	ADV
cana-4848	12	26	and	and	CCONJ
cana-4848	12	27	do	do	AUX
cana-4848	12	28	not	not	PART
cana-4848	12	29	infect	infect	VERB
cana-4848	12	30	neighbouring	neighbouring	ADJ
cana-4848	12	31	tissues	tissue	NOUN
cana-4848	12	32	.	.	PUNCT
cana-4848	13	1	a	a	DET
cana-4848	13	2	primary	primary	ADJ
cana-4848	13	3	brain	brain	NOUN
cana-4848	13	4	tumor	tumor	NOUN
cana-4848	13	5	is	be	AUX
cana-4848	13	6	a	a	DET
cana-4848	13	7	kind	kind	NOUN
cana-4848	13	8	of	of	ADP
cana-4848	13	9	tumor	tumor	NOUN
cana-4848	13	10	that	that	PRON
cana-4848	13	11	does	do	AUX
cana-4848	13	12	n't	not	PART
cana-4848	13	13	spread	spread	VERB
cana-4848	13	14	from	from	ADP
cana-4848	13	15	other	other	ADJ
cana-4848	13	16	regions	region	NOUN
cana-4848	13	17	of	of	ADP
cana-4848	13	18	the	the	DET
cana-4848	13	19	body	body	NOUN
cana-4848	13	20	;	;	PUNCT
cana-4848	13	21	instead	instead	ADV
cana-4848	13	22	,	,	PUNCT
cana-4848	13	23	it	it	PRON
cana-4848	13	24	starts	start	VERB
cana-4848	13	25	in	in	ADP
cana-4848	13	26	the	the	DET
cana-4848	13	27	brain	brain	NOUN
cana-4848	13	28	or	or	CCONJ
cana-4848	13	29	adjacent	adjacent	ADJ
cana-4848	13	30	tissues	tissue	NOUN
cana-4848	13	31	.	.	PUNCT
cana-4848	14	1	different	different	ADJ
cana-4848	14	2	brain	brain	NOUN
cana-4848	14	3	cell	cell	NOUN
cana-4848	14	4	types	type	NOUN
cana-4848	14	5	can	can	AUX
cana-4848	14	6	give	give	VERB
cana-4848	14	7	rise	rise	NOUN
cana-4848	14	8	to	to	ADP
cana-4848	14	9	secondary	secondary	ADJ
cana-4848	14	10	brain	brain	NOUN
cana-4848	14	11	tumors	tumor	NOUN
cana-4848	14	12	,	,	PUNCT
cana-4848	14	13	which	which	PRON
cana-4848	14	14	can	can	AUX
cana-4848	14	15	then	then	ADV
cana-4848	14	16	be	be	AUX
cana-4848	14	17	categorized	categorize	VERB
cana-4848	14	18	according	accord	VERB
cana-4848	14	19	to	to	ADP
cana-4848	14	20	the	the	DET
cana-4848	14	21	cell	cell	NOUN
cana-4848	14	22	of	of	ADP
cana-4848	14	23	origin	origin	NOUN
cana-4848	14	24	.	.	PUNCT
cana-4848	15	1	brain	brain	NOUN
cana-4848	15	2	tumors	tumor	NOUN
cana-4848	15	3	,	,	PUNCT
cana-4848	15	4	which	which	PRON
cana-4848	15	5	impact	impact	VERB
cana-4848	15	6	millions	million	NOUN
cana-4848	15	7	of	of	ADP
cana-4848	15	8	people	people	NOUN
cana-4848	15	9	annually	annually	ADV
cana-4848	15	10	worldwide	worldwide	ADV
cana-4848	15	11	,	,	PUNCT
cana-4848	15	12	pose	pose	VERB
cana-4848	15	13	a	a	DET
cana-4848	15	14	serious	serious	ADJ
cana-4848	15	15	problem	problem	NOUN
cana-4848	15	16	in	in	ADP
cana-4848	15	17	the	the	DET
cana-4848	15	18	fields	field	NOUN
cana-4848	15	19	of	of	ADP
cana-4848	15	20	neurology	neurology	NOUN
cana-4848	15	21	and	and	CCONJ
cana-4848	15	22	oncology	oncology	NOUN
cana-4848	15	23	.	.	PUNCT
cana-4848	16	1	effective	effective	ADJ
cana-4848	16	2	treatment	treatment	NOUN
cana-4848	16	3	and	and	CCONJ
cana-4848	16	4	better	well	ADJ
cana-4848	16	5	patient	patient	ADJ
cana-4848	16	6	outcomes	outcome	NOUN
cana-4848	16	7	depend	depend	VERB
cana-4848	16	8	on	on	ADP
cana-4848	16	9	their	their	PRON
cana-4848	16	10	early	early	ADJ
cana-4848	16	11	discovery	discovery	NOUN
cana-4848	16	12	and	and	CCONJ
cana-4848	16	13	precise	precise	ADJ
cana-4848	16	14	diagnosis	diagnosis	NOUN
cana-4848	16	15	.	.	PUNCT
cana-4848	17	1	the	the	DET
cana-4848	17	2	diagnosis	diagnosis	NOUN
cana-4848	17	3	of	of	ADP
cana-4848	17	4	brain	brain	NOUN
cana-4848	17	5	tumors	tumor	NOUN
cana-4848	17	6	has	have	AUX
cana-4848	17	7	historically	historically	ADV
cana-4848	17	8	mostly	mostly	ADV
cana-4848	17	9	depended	depend	VERB
cana-4848	17	10	on	on	ADP
cana-4848	17	11	invasive	invasive	ADJ
cana-4848	17	12	techniques	technique	NOUN
cana-4848	17	13	and	and	CCONJ
cana-4848	17	14	expert	expert	NOUN
cana-4848	17	15	interpretations	interpretation	NOUN
cana-4848	17	16	of	of	ADP
cana-4848	17	17	medical	medical	ADJ
cana-4848	17	18	imaging	imaging	NOUN
cana-4848	17	19	.	.	PUNCT
cana-4848	18	1	but	but	CCONJ
cana-4848	18	2	new	new	ADJ
cana-4848	18	3	developments	development	NOUN
cana-4848	18	4	in	in	ADP
cana-4848	18	5	machine	machine	NOUN
cana-4848	18	6	learning	learning	NOUN
cana-4848	18	7	(	(	PUNCT
cana-4848	18	8	ml	ml	NOUN
cana-4848	18	9	)	)	PUNCT
cana-4848	18	10	have	have	AUX
cana-4848	18	11	brought	bring	VERB
cana-4848	18	12	forward	forward	ADV
cana-4848	18	13	creative	creative	ADJ
cana-4848	18	14	strategies	strategy	NOUN
cana-4848	18	15	that	that	PRON
cana-4848	18	16	could	could	AUX
cana-4848	18	17	change	change	VERB
cana-4848	18	18	this	this	DET
cana-4848	18	19	environment	environment	NOUN
cana-4848	18	20	.	.	PUNCT
cana-4848	19	1	objectives	objective	NOUN
cana-4848	19	2	:	:	PUNCT
cana-4848	19	3	to	to	PART
cana-4848	19	4	study	study	VERB
cana-4848	19	5	and	and	CCONJ
cana-4848	19	6	analyze	analyze	VERB
cana-4848	19	7	the	the	DET
cana-4848	19	8	various	various	ADJ
cana-4848	19	9	techniques	technique	NOUN
cana-4848	19	10	for	for	ADP
cana-4848	19	11	the	the	DET
cana-4848	19	12	brain	brain	NOUN
cana-4848	19	13	tumor	tumor	NOUN
cana-4848	19	14	disease	disease	NOUN
cana-4848	19	15	prediction	prediction	NOUN
cana-4848	19	16	using	use	VERB
cana-4848	19	17	neural	neural	ADJ
cana-4848	19	18	network	network	NOUN
cana-4848	19	19	.	.	PUNCT
cana-4848	20	1	data	datum	NOUN
cana-4848	20	2	preprocessing	preprocessing	NOUN
cana-4848	20	3	of	of	ADP
cana-4848	20	4	selected	select	VERB
cana-4848	20	5	dataset	dataset	NOUN
cana-4848	20	6	.	.	PUNCT
cana-4848	21	1	(	(	PUNCT
cana-4848	21	2	normalization	normalization	NOUN
cana-4848	21	3	and	and	CCONJ
cana-4848	21	4	gray	gray	ADJ
cana-4848	21	5	scaling	scaling	NOUN
cana-4848	21	6	)	)	PUNCT
cana-4848	21	7	.	.	PUNCT
cana-4848	22	1	comparative	comparative	ADJ
cana-4848	22	2	analysis	analysis	NOUN
cana-4848	22	3	of	of	ADP
cana-4848	22	4	the	the	DET
cana-4848	22	5	existing	exist	VERB
cana-4848	22	6	system	system	NOUN
cana-4848	22	7	to	to	PART
cana-4848	22	8	access	access	VERB
cana-4848	22	9	effectiveness	effectiveness	NOUN
cana-4848	22	10	and	and	CCONJ
cana-4848	22	11	efficiency	efficiency	NOUN
cana-4848	22	12	of	of	ADP
cana-4848	22	13	proposed	propose	VERB
cana-4848	22	14	model	model	NOUN
cana-4848	22	15	.	.	PUNCT
cana-4848	23	1	use	use	VERB
cana-4848	23	2	classification	classification	NOUN
cana-4848	23	3	techniques	technique	NOUN
cana-4848	23	4	using	use	VERB
cana-4848	23	5	deep	deep	ADJ
cana-4848	23	6	learning	learning	NOUN
cana-4848	23	7	algorithm	algorithm	NOUN
cana-4848	23	8	and	and	CCONJ
cana-4848	23	9	develop	develop	VERB
cana-4848	23	10	a	a	DET
cana-4848	23	11	model	model	NOUN
cana-4848	23	12	.	.	PUNCT
cana-4848	24	1	performance	performance	NOUN
cana-4848	24	2	analysis	analysis	NOUN
cana-4848	24	3	using	use	VERB
cana-4848	24	4	evaluation	evaluation	NOUN
cana-4848	24	5	metric	metric	NOUN
cana-4848	24	6	.	.	PUNCT
cana-4848	25	1	methods	method	NOUN
cana-4848	25	2	:	:	PUNCT
cana-4848	25	3	in	in	ADP
cana-4848	25	4	the	the	DET
cana-4848	25	5	realm	realm	NOUN
cana-4848	25	6	of	of	ADP
cana-4848	25	7	medical	medical	ADJ
cana-4848	25	8	imaging	imaging	NOUN
cana-4848	25	9	,	,	PUNCT
cana-4848	25	10	deep	deep	ADJ
cana-4848	25	11	learning	learning	NOUN
cana-4848	25	12	has	have	AUX
cana-4848	25	13	emerged	emerge	VERB
cana-4848	25	14	as	as	ADP
cana-4848	25	15	a	a	DET
cana-4848	25	16	powerful	powerful	ADJ
cana-4848	25	17	instrument	instrument	NOUN
cana-4848	25	18	,	,	PUNCT
cana-4848	25	19	particularly	particularly	ADV
cana-4848	25	20	for	for	ADP
cana-4848	25	21	detecting	detect	VERB
cana-4848	25	22	and	and	CCONJ
cana-4848	25	23	classifying	classify	VERB
cana-4848	25	24	brain	brain	NOUN
cana-4848	25	25	cancers	cancer	NOUN
cana-4848	25	26	.	.	PUNCT
cana-4848	26	1	dl	dl	PROPN
cana-4848	26	2	models	model	NOUN
cana-4848	26	3	have	have	AUX
cana-4848	26	4	demonstrated	demonstrate	VERB
cana-4848	26	5	greater	great	ADJ
cana-4848	26	6	accuracy	accuracy	NOUN
cana-4848	26	7	in	in	ADP
cana-4848	26	8	diagnosing	diagnose	VERB
cana-4848	26	9	brain	brain	NOUN
cana-4848	26	10	tumors	tumor	NOUN
cana-4848	26	11	through	through	ADP
cana-4848	26	12	mri	mri	NOUN
cana-4848	26	13	scans	scan	NOUN
cana-4848	26	14	.	.	PUNCT
cana-4848	27	1	various	various	ADJ
cana-4848	27	2	types	type	NOUN
cana-4848	27	3	of	of	ADP
cana-4848	27	4	brain	brain	NOUN
cana-4848	27	5	tumors	tumor	NOUN
cana-4848	27	6	,	,	PUNCT
cana-4848	27	7	including	include	VERB
cana-4848	27	8	gliomas	glioma	NOUN
cana-4848	27	9	,	,	PUNCT
cana-4848	27	10	meningiomas	meningioma	NOUN
cana-4848	27	11	,	,	PUNCT
cana-4848	27	12	and	and	CCONJ
cana-4848	27	13	pituitary	pituitary	ADJ
cana-4848	27	14	tumors	tumor	NOUN
cana-4848	27	15	,	,	PUNCT
cana-4848	27	16	can	can	AUX
cana-4848	27	17	also	also	ADV
cana-4848	27	18	be	be	AUX
cana-4848	27	19	diagnosed	diagnose	VERB
cana-4848	27	20	using	use	VERB
cana-4848	27	21	deep	deep	ADJ
cana-4848	27	22	learning	learning	NOUN
cana-4848	27	23	models	model	NOUN
cana-4848	27	24	.	.	PUNCT
cana-4848	28	1	in	in	ADP
cana-4848	28	2	the	the	DET
cana-4848	28	3	first	first	ADJ
cana-4848	28	4	phase	phase	NOUN
cana-4848	28	5	of	of	ADP
cana-4848	28	6	model	model	NOUN
cana-4848	28	7	building	building	NOUN
cana-4848	28	8	we	we	PRON
cana-4848	28	9	collect	collect	VERB
cana-4848	28	10	the	the	DET
cana-4848	28	11	dataset	dataset	NOUN
cana-4848	28	12	from	from	ADP
cana-4848	28	13	different	different	ADJ
cana-4848	28	14	sources	source	NOUN
cana-4848	28	15	.	.	PUNCT
cana-4848	29	1	this	this	DET
cana-4848	29	2	dataset	dataset	NOUN
cana-4848	29	3	include	include	VERB
cana-4848	29	4	mri	mri	NOUN
cana-4848	29	5	scan	scan	NOUN
cana-4848	29	6	images	image	NOUN
cana-4848	29	7	from	from	ADP
cana-4848	29	8	different	different	ADJ
cana-4848	29	9	radiologist	radiologist	NOUN
cana-4848	29	10	.	.	PUNCT
cana-4848	30	1	after	after	SCONJ
cana-4848	30	2	that	that	PRON
cana-4848	30	3	we	we	PRON
cana-4848	30	4	pre	pre	VERB
cana-4848	30	5	-	-	NOUN
cana-4848	30	6	process	process	VERB
cana-4848	30	7	the	the	DET
cana-4848	30	8	dataset	dataset	NOUN
cana-4848	30	9	such	such	ADJ
cana-4848	30	10	as	as	ADP
cana-4848	30	11	resize	resize	VERB
cana-4848	30	12	the	the	DET
cana-4848	30	13	images	image	NOUN
cana-4848	30	14	,	,	PUNCT
cana-4848	30	15	rotate	rotate	VERB
cana-4848	30	16	the	the	DET
cana-4848	30	17	images	image	NOUN
cana-4848	30	18	and	and	CCONJ
cana-4848	30	19	convert	convert	VERB
cana-4848	30	20	the	the	DET
cana-4848	30	21	images	image	NOUN
cana-4848	30	22	into	into	ADP
cana-4848	30	23	grayscale	grayscale	NOUN
cana-4848	30	24	image	image	NOUN
cana-4848	30	25	.	.	PUNCT
cana-4848	31	1	we	we	PRON
cana-4848	31	2	should	should	AUX
cana-4848	31	3	remove	remove	VERB
cana-4848	31	4	the	the	DET
cana-4848	31	5	noise	noise	NOUN
cana-4848	31	6	from	from	ADP
cana-4848	31	7	the	the	DET
cana-4848	31	8	images	image	NOUN
cana-4848	31	9	to	to	PART
cana-4848	31	10	extract	extract	VERB
cana-4848	31	11	the	the	DET
cana-4848	31	12	features	feature	NOUN
cana-4848	31	13	.	.	PUNCT
cana-4848	32	1	we	we	PRON
cana-4848	32	2	use	use	VERB
cana-4848	32	3	high	high	ADJ
cana-4848	32	4	pass	pass	NOUN
cana-4848	32	5	filtering	filter	VERB
cana-4848	32	6	,	,	PUNCT
cana-4848	32	7	low	low	ADJ
cana-4848	32	8	pass	pass	NOUN
cana-4848	32	9	filtering	filter	VERB
cana-4848	32	10	,	,	PUNCT
cana-4848	32	11	gaussian	gaussian	ADJ
cana-4848	32	12	filters	filter	NOUN
cana-4848	32	13	communications	communication	NOUN
cana-4848	32	14	on	on	ADP
cana-4848	32	15	applied	apply	VERB
cana-4848	32	16	nonlinear	nonlinear	ADJ
cana-4848	32	17	analysis	analysis	NOUN
cana-4848	32	18	issn	issn	NOUN
cana-4848	32	19	:	:	PUNCT
cana-4848	32	20	1074	1074	NUM
cana-4848	32	21	-	-	PUNCT
cana-4848	32	22	133x	133x	NUM
cana-4848	32	23	vol	vol	VERB
cana-4848	32	24	32	32	NUM
cana-4848	32	25	no	no	NOUN
cana-4848	32	26	.	.	PUNCT
cana-4848	33	1	10s	10	NOUN
cana-4848	33	2	(	(	PUNCT
cana-4848	33	3	2025	2025	NUM
cana-4848	33	4	)	)	PUNCT
cana-4848	33	5	583	583	NUM
cana-4848	33	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4848	33	7	to	to	PART
cana-4848	33	8	remove	remove	VERB
cana-4848	33	9	the	the	DET
cana-4848	33	10	noise	noise	NOUN
cana-4848	33	11	from	from	ADP
cana-4848	33	12	the	the	DET
cana-4848	33	13	images	image	NOUN
cana-4848	33	14	.	.	PUNCT
cana-4848	34	1	different	different	ADJ
cana-4848	34	2	types	type	NOUN
cana-4848	34	3	of	of	ADP
cana-4848	34	4	features	feature	NOUN
cana-4848	34	5	we	we	PRON
cana-4848	34	6	can	can	AUX
cana-4848	34	7	extract	extract	VERB
cana-4848	34	8	from	from	ADP
cana-4848	34	9	the	the	DET
cana-4848	34	10	dataset	dataset	NOUN
cana-4848	34	11	such	such	ADJ
cana-4848	34	12	as	as	ADP
cana-4848	34	13	shape	shape	NOUN
cana-4848	34	14	based	base	VERB
cana-4848	34	15	features	feature	NOUN
cana-4848	34	16	,	,	PUNCT
cana-4848	34	17	intensity	intensity	NOUN
cana-4848	34	18	based	base	VERB
cana-4848	34	19	features	feature	NOUN
cana-4848	34	20	and	and	CCONJ
cana-4848	34	21	model	model	NOUN
cana-4848	34	22	based	base	VERB
cana-4848	34	23	features	feature	NOUN
cana-4848	34	24	.	.	PUNCT
cana-4848	35	1	in	in	ADP
cana-4848	35	2	the	the	DET
cana-4848	35	3	next	next	ADJ
cana-4848	35	4	phase	phase	NOUN
cana-4848	35	5	we	we	PRON
cana-4848	35	6	perform	perform	VERB
cana-4848	35	7	classification	classification	NOUN
cana-4848	35	8	of	of	ADP
cana-4848	35	9	the	the	DET
cana-4848	35	10	images	image	NOUN
cana-4848	35	11	using	use	VERB
cana-4848	35	12	cnn	cnn	PROPN
cana-4848	35	13	,	,	PUNCT
cana-4848	35	14	ann	ann	PROPN
cana-4848	35	15	,	,	PUNCT
cana-4848	35	16	autoendoder	autoendoder	NOUN
cana-4848	35	17	models	model	NOUN
cana-4848	35	18	.	.	PUNCT
cana-4848	36	1	in	in	ADP
cana-4848	36	2	this	this	DET
cana-4848	36	3	phase	phase	NOUN
cana-4848	36	4	we	we	PRON
cana-4848	36	5	can	can	AUX
cana-4848	36	6	classify	classify	VERB
cana-4848	36	7	the	the	DET
cana-4848	36	8	images	image	NOUN
cana-4848	36	9	into	into	ADP
cana-4848	36	10	healthy	healthy	ADJ
cana-4848	36	11	image	image	NOUN
cana-4848	36	12	and	and	CCONJ
cana-4848	36	13	tumour	tumour	NOUN
cana-4848	36	14	image	image	NOUN
cana-4848	36	15	.	.	PUNCT
cana-4848	37	1	results	result	NOUN
cana-4848	37	2	:	:	PUNCT
cana-4848	37	3	a	a	DET
cana-4848	37	4	comparative	comparative	ADJ
cana-4848	37	5	study	study	NOUN
cana-4848	37	6	of	of	ADP
cana-4848	37	7	the	the	DET
cana-4848	37	8	literature	literature	NOUN
cana-4848	37	9	review	review	NOUN
cana-4848	37	10	conducted	conduct	VERB
cana-4848	37	11	by	by	ADP
cana-4848	37	12	several	several	ADJ
cana-4848	37	13	writers	writer	NOUN
cana-4848	37	14	is	be	AUX
cana-4848	37	15	presented	present	VERB
cana-4848	37	16	conclusions	conclusion	NOUN
cana-4848	37	17	:	:	PUNCT
cana-4848	37	18	dl	dl	PROPN
cana-4848	37	19	has	have	AUX
cana-4848	37	20	emerged	emerge	VERB
cana-4848	37	21	as	as	ADP
cana-4848	37	22	a	a	DET
cana-4848	37	23	powerful	powerful	ADJ
cana-4848	37	24	model	model	NOUN
cana-4848	37	25	,	,	PUNCT
cana-4848	37	26	particularly	particularly	ADV
cana-4848	37	27	for	for	ADP
cana-4848	37	28	the	the	DET
cana-4848	37	29	detection	detection	NOUN
cana-4848	37	30	and	and	CCONJ
cana-4848	37	31	classification	classification	NOUN
cana-4848	37	32	of	of	ADP
cana-4848	37	33	brain	brain	NOUN
cana-4848	37	34	tumors	tumor	NOUN
cana-4848	37	35	.	.	PUNCT
cana-4848	38	1	in	in	ADP
cana-4848	38	2	this	this	DET
cana-4848	38	3	paper	paper	NOUN
cana-4848	38	4	we	we	PRON
cana-4848	38	5	discuss	discuss	VERB
cana-4848	38	6	about	about	ADP
cana-4848	38	7	detail	detail	NOUN
cana-4848	38	8	comparative	comparative	ADJ
cana-4848	38	9	analysis	analysis	NOUN
cana-4848	38	10	of	of	ADP
cana-4848	38	11	dl	dl	PROPN
cana-4848	38	12	model	model	NOUN
cana-4848	38	13	used	use	VERB
cana-4848	38	14	for	for	ADP
cana-4848	38	15	brain	brain	NOUN
cana-4848	38	16	tumors	tumor	NOUN
cana-4848	38	17	detection	detection	NOUN
cana-4848	38	18	.	.	PUNCT
cana-4848	39	1	keywords	keyword	NOUN
cana-4848	39	2	:	:	PUNCT
cana-4848	39	3	machine	machine	NOUN
cana-4848	39	4	learning	learning	NOUN
cana-4848	39	5	(	(	PUNCT
cana-4848	39	6	ml	ml	NOUN
cana-4848	39	7	)	)	PUNCT
cana-4848	39	8	,	,	PUNCT
cana-4848	39	9	deep	deep	ADJ
cana-4848	39	10	learning	learning	NOUN
cana-4848	39	11	(	(	PUNCT
cana-4848	39	12	dl	dl	PROPN
cana-4848	39	13	)	)	PUNCT
cana-4848	39	14	,	,	PUNCT
cana-4848	39	15	convolutional	convolutional	ADJ
cana-4848	39	16	neural	neural	ADJ
cana-4848	39	17	network	network	NOUN
cana-4848	39	18	(	(	PUNCT
cana-4848	39	19	cnn	cnn	PROPN
cana-4848	39	20	)	)	PUNCT
cana-4848	39	21	,	,	PUNCT
cana-4848	39	22	magnetic	magnetic	ADJ
cana-4848	39	23	resonance	resonance	NOUN
cana-4848	39	24	imaging(mri	imaging(mri	NOUN
cana-4848	39	25	)	)	PUNCT
cana-4848	39	26	.	.	PUNCT
cana-4848	40	1	1	1	X
cana-4848	40	2	.	.	X
cana-4848	40	3	introduction	introduction	NOUN
cana-4848	40	4	unusual	unusual	ADJ
cana-4848	40	5	cell	cell	NOUN
cana-4848	40	6	growth	growth	NOUN
cana-4848	40	7	in	in	ADP
cana-4848	40	8	the	the	DET
cana-4848	40	9	brain	brain	NOUN
cana-4848	40	10	or	or	CCONJ
cana-4848	40	11	central	central	ADJ
cana-4848	40	12	spinal	spinal	ADJ
cana-4848	40	13	canal	canal	NOUN
cana-4848	40	14	is	be	AUX
cana-4848	40	15	called	call	VERB
cana-4848	40	16	a	a	DET
cana-4848	40	17	brain	brain	NOUN
cana-4848	40	18	tumors	tumor	NOUN
cana-4848	40	19	.	.	PUNCT
cana-4848	41	1	the	the	DET
cana-4848	41	2	two	two	NUM
cana-4848	41	3	main	main	ADJ
cana-4848	41	4	categories	category	NOUN
cana-4848	41	5	of	of	ADP
cana-4848	41	6	these	these	DET
cana-4848	41	7	tumors	tumor	NOUN
cana-4848	41	8	are	be	AUX
cana-4848	41	9	benign	benign	ADJ
cana-4848	41	10	and	and	CCONJ
cana-4848	41	11	malignant	malignant	ADJ
cana-4848	41	12	.	.	PUNCT
cana-4848	42	1	malignant	malignant	ADJ
cana-4848	42	2	cells	cell	NOUN
cana-4848	42	3	are	be	AUX
cana-4848	42	4	cancerous	cancerous	ADJ
cana-4848	42	5	,	,	PUNCT
cana-4848	42	6	however	however	ADV
cana-4848	42	7	benign	benign	ADJ
cana-4848	42	8	ones	one	NOUN
cana-4848	42	9	are	be	AUX
cana-4848	42	10	not	not	PART
cana-4848	42	11	.	.	PUNCT
cana-4848	43	1	malignant	malignant	ADJ
cana-4848	43	2	tumors	tumor	NOUN
cana-4848	43	3	can	can	AUX
cana-4848	43	4	be	be	AUX
cana-4848	43	5	aggressive	aggressive	ADJ
cana-4848	43	6	,	,	PUNCT
cana-4848	43	7	spreading	spread	VERB
cana-4848	43	8	to	to	ADP
cana-4848	43	9	other	other	ADJ
cana-4848	43	10	sections	section	NOUN
cana-4848	43	11	of	of	ADP
cana-4848	43	12	the	the	DET
cana-4848	43	13	brain	brain	NOUN
cana-4848	43	14	and	and	CCONJ
cana-4848	43	15	possibly	possibly	ADV
cana-4848	43	16	compromising	compromise	VERB
cana-4848	43	17	general	general	ADJ
cana-4848	43	18	health	health	NOUN
cana-4848	43	19	,	,	PUNCT
cana-4848	43	20	whereas	whereas	SCONJ
cana-4848	43	21	benign	benign	ADJ
cana-4848	43	22	tumors	tumor	NOUN
cana-4848	43	23	typically	typically	ADV
cana-4848	43	24	develop	develop	VERB
cana-4848	43	25	slowly	slowly	ADV
cana-4848	43	26	and	and	CCONJ
cana-4848	43	27	do	do	AUX
cana-4848	43	28	not	not	PART
cana-4848	43	29	infect	infect	VERB
cana-4848	43	30	neighbouring	neighbouring	ADJ
cana-4848	43	31	tissues	tissue	NOUN
cana-4848	43	32	.	.	PUNCT
cana-4848	44	1	a	a	DET
cana-4848	44	2	primary	primary	ADJ
cana-4848	44	3	brain	brain	NOUN
cana-4848	44	4	tumor	tumor	NOUN
cana-4848	44	5	is	be	AUX
cana-4848	44	6	a	a	DET
cana-4848	44	7	kind	kind	NOUN
cana-4848	44	8	of	of	ADP
cana-4848	44	9	tumor	tumor	NOUN
cana-4848	44	10	that	that	PRON
cana-4848	44	11	does	do	AUX
cana-4848	44	12	n't	not	PART
cana-4848	44	13	spread	spread	VERB
cana-4848	44	14	from	from	ADP
cana-4848	44	15	other	other	ADJ
cana-4848	44	16	regions	region	NOUN
cana-4848	44	17	of	of	ADP
cana-4848	44	18	the	the	DET
cana-4848	44	19	body	body	NOUN
cana-4848	44	20	;	;	PUNCT
cana-4848	44	21	instead	instead	ADV
cana-4848	44	22	,	,	PUNCT
cana-4848	44	23	it	it	PRON
cana-4848	44	24	starts	start	VERB
cana-4848	44	25	in	in	ADP
cana-4848	44	26	the	the	DET
cana-4848	44	27	brain	brain	NOUN
cana-4848	44	28	or	or	CCONJ
cana-4848	44	29	adjacent	adjacent	ADJ
cana-4848	44	30	tissues	tissue	NOUN
cana-4848	44	31	.	.	PUNCT
cana-4848	45	1	different	different	ADJ
cana-4848	45	2	brain	brain	NOUN
cana-4848	45	3	cell	cell	NOUN
cana-4848	45	4	types	type	NOUN
cana-4848	45	5	can	can	AUX
cana-4848	45	6	give	give	VERB
cana-4848	45	7	rise	rise	NOUN
cana-4848	45	8	to	to	ADP
cana-4848	45	9	secondary	secondary	ADJ
cana-4848	45	10	brain	brain	NOUN
cana-4848	45	11	tumors	tumor	NOUN
cana-4848	45	12	,	,	PUNCT
cana-4848	45	13	which	which	PRON
cana-4848	45	14	can	can	AUX
cana-4848	45	15	then	then	ADV
cana-4848	45	16	be	be	AUX
cana-4848	45	17	categorized	categorize	VERB
cana-4848	45	18	according	accord	VERB
cana-4848	45	19	to	to	ADP
cana-4848	45	20	the	the	DET
cana-4848	45	21	cell	cell	NOUN
cana-4848	45	22	of	of	ADP
cana-4848	45	23	origin	origin	NOUN
cana-4848	45	24	.	.	PUNCT
cana-4848	46	1	brain	brain	NOUN
cana-4848	46	2	tumors	tumor	NOUN
cana-4848	46	3	,	,	PUNCT
cana-4848	46	4	which	which	PRON
cana-4848	46	5	impact	impact	VERB
cana-4848	46	6	millions	million	NOUN
cana-4848	46	7	of	of	ADP
cana-4848	46	8	people	people	NOUN
cana-4848	46	9	annually	annually	ADV
cana-4848	46	10	worldwide	worldwide	ADV
cana-4848	46	11	,	,	PUNCT
cana-4848	46	12	pose	pose	VERB
cana-4848	46	13	a	a	DET
cana-4848	46	14	serious	serious	ADJ
cana-4848	46	15	problem	problem	NOUN
cana-4848	46	16	in	in	ADP
cana-4848	46	17	the	the	DET
cana-4848	46	18	fields	field	NOUN
cana-4848	46	19	of	of	ADP
cana-4848	46	20	neurology	neurology	NOUN
cana-4848	46	21	and	and	CCONJ
cana-4848	46	22	oncology	oncology	NOUN
cana-4848	46	23	.	.	PUNCT
cana-4848	47	1	effective	effective	ADJ
cana-4848	47	2	treatment	treatment	NOUN
cana-4848	47	3	and	and	CCONJ
cana-4848	47	4	better	well	ADJ
cana-4848	47	5	patient	patient	ADJ
cana-4848	47	6	outcomes	outcome	NOUN
cana-4848	47	7	depend	depend	VERB
cana-4848	47	8	on	on	ADP
cana-4848	47	9	their	their	PRON
cana-4848	47	10	early	early	ADJ
cana-4848	47	11	discovery	discovery	NOUN
cana-4848	47	12	and	and	CCONJ
cana-4848	47	13	precise	precise	ADJ
cana-4848	47	14	diagnosis	diagnosis	NOUN
cana-4848	47	15	.	.	PUNCT
cana-4848	48	1	the	the	DET
cana-4848	48	2	diagnosis	diagnosis	NOUN
cana-4848	48	3	of	of	ADP
cana-4848	48	4	brain	brain	NOUN
cana-4848	48	5	tumors	tumor	NOUN
cana-4848	48	6	has	have	AUX
cana-4848	48	7	historically	historically	ADV
cana-4848	48	8	mostly	mostly	ADV
cana-4848	48	9	depended	depend	VERB
cana-4848	48	10	on	on	ADP
cana-4848	48	11	invasive	invasive	ADJ
cana-4848	48	12	techniques	technique	NOUN
cana-4848	48	13	and	and	CCONJ
cana-4848	48	14	expert	expert	NOUN
cana-4848	48	15	interpretations	interpretation	NOUN
cana-4848	48	16	of	of	ADP
cana-4848	48	17	medical	medical	ADJ
cana-4848	48	18	imaging	imaging	NOUN
cana-4848	48	19	.	.	PUNCT
cana-4848	49	1	but	but	CCONJ
cana-4848	49	2	new	new	ADJ
cana-4848	49	3	developments	development	NOUN
cana-4848	49	4	in	in	ADP
cana-4848	49	5	machine	machine	NOUN
cana-4848	49	6	learning	learning	NOUN
cana-4848	49	7	(	(	PUNCT
cana-4848	49	8	ml	ml	NOUN
cana-4848	49	9	)	)	PUNCT
cana-4848	49	10	have	have	AUX
cana-4848	49	11	brought	bring	VERB
cana-4848	49	12	forward	forward	ADV
cana-4848	49	13	creative	creative	ADJ
cana-4848	49	14	strategies	strategy	NOUN
cana-4848	49	15	that	that	PRON
cana-4848	49	16	could	could	AUX
cana-4848	49	17	change	change	VERB
cana-4848	49	18	this	this	DET
cana-4848	49	19	environment	environment	NOUN
cana-4848	49	20	.	.	PUNCT
cana-4848	50	1	algorithms	algorithm	NOUN
cana-4848	50	2	are	be	AUX
cana-4848	50	3	used	use	VERB
cana-4848	50	4	in	in	ADP
cana-4848	50	5	machine	machine	NOUN
cana-4848	50	6	learning	learning	NOUN
cana-4848	50	7	,	,	PUNCT
cana-4848	50	8	a	a	DET
cana-4848	50	9	branch	branch	NOUN
cana-4848	50	10	of	of	ADP
cana-4848	50	11	artificial	artificial	ADJ
cana-4848	50	12	intelligence	intelligence	NOUN
cana-4848	50	13	,	,	PUNCT
cana-4848	50	14	to	to	PART
cana-4848	50	15	evaluate	evaluate	VERB
cana-4848	50	16	enormous	enormous	ADJ
cana-4848	50	17	volumes	volume	NOUN
cana-4848	50	18	of	of	ADP
cana-4848	50	19	data	datum	NOUN
cana-4848	50	20	,	,	PUNCT
cana-4848	50	21	spot	spot	NOUN
cana-4848	50	22	trends	trend	NOUN
cana-4848	50	23	,	,	PUNCT
cana-4848	50	24	and	and	CCONJ
cana-4848	50	25	provide	provide	VERB
cana-4848	50	26	predictions	prediction	NOUN
cana-4848	50	27	.	.	PUNCT
cana-4848	51	1	researchers	researcher	NOUN
cana-4848	51	2	and	and	CCONJ
cana-4848	51	3	medical	medical	ADJ
cana-4848	51	4	professionals	professional	NOUN
cana-4848	51	5	can	can	AUX
cana-4848	51	6	create	create	VERB
cana-4848	51	7	models	model	NOUN
cana-4848	51	8	that	that	PRON
cana-4848	51	9	improve	improve	VERB
cana-4848	51	10	the	the	DET
cana-4848	51	11	accuracy	accuracy	NOUN
cana-4848	51	12	and	and	CCONJ
cana-4848	51	13	speed	speed	NOUN
cana-4848	51	14	of	of	ADP
cana-4848	51	15	brain	brain	NOUN
cana-4848	51	16	tumor	tumor	NOUN
cana-4848	51	17	diagnosis	diagnosis	NOUN
cana-4848	51	18	by	by	ADP
cana-4848	51	19	utilizing	utilize	VERB
cana-4848	51	20	machine	machine	NOUN
cana-4848	51	21	learning	learning	NOUN
cana-4848	51	22	.	.	PUNCT
cana-4848	52	1	these	these	DET
cana-4848	52	2	models	model	NOUN
cana-4848	52	3	are	be	AUX
cana-4848	52	4	capable	capable	ADJ
cana-4848	52	5	of	of	ADP
cana-4848	52	6	processing	process	VERB
cana-4848	52	7	intricate	intricate	ADJ
cana-4848	52	8	imaging	imaging	NOUN
cana-4848	52	9	data	datum	NOUN
cana-4848	52	10	,	,	PUNCT
cana-4848	52	11	including	include	VERB
cana-4848	52	12	ct	ct	NUM
cana-4848	52	13	and	and	CCONJ
cana-4848	52	14	mri	mri	NOUN
cana-4848	52	15	images	image	NOUN
cana-4848	52	16	,	,	PUNCT
cana-4848	52	17	to	to	PART
cana-4848	52	18	predict	predict	VERB
cana-4848	52	19	tumor	tumor	NOUN
cana-4848	52	20	growth	growth	NOUN
cana-4848	52	21	,	,	PUNCT
cana-4848	52	22	distinguish	distinguish	VERB
cana-4848	52	23	between	between	ADP
cana-4848	52	24	benign	benign	ADJ
cana-4848	52	25	and	and	CCONJ
cana-4848	52	26	malignant	malignant	ADJ
cana-4848	52	27	tumors	tumor	NOUN
cana-4848	52	28	,	,	PUNCT
cana-4848	52	29	and	and	CCONJ
cana-4848	52	30	even	even	ADV
cana-4848	52	31	help	help	VERB
cana-4848	52	32	with	with	ADP
cana-4848	52	33	treatment	treatment	NOUN
cana-4848	52	34	planning	planning	NOUN
cana-4848	52	35	.	.	PUNCT
cana-4848	53	1	brain	brain	NOUN
cana-4848	53	2	tumors	tumor	NOUN
cana-4848	53	3	pose	pose	VERB
cana-4848	53	4	significant	significant	ADJ
cana-4848	53	5	problems	problem	NOUN
cana-4848	53	6	since	since	SCONJ
cana-4848	53	7	they	they	PRON
cana-4848	53	8	can	can	AUX
cana-4848	53	9	differ	differ	VERB
cana-4848	53	10	in	in	ADP
cana-4848	53	11	size	size	NOUN
cana-4848	53	12	,	,	PUNCT
cana-4848	53	13	location	location	NOUN
cana-4848	53	14	,	,	PUNCT
cana-4848	53	15	and	and	CCONJ
cana-4848	53	16	shape	shape	NOUN
cana-4848	53	17	within	within	ADP
cana-4848	53	18	the	the	DET
cana-4848	53	19	brain	brain	NOUN
cana-4848	53	20	.	.	PUNCT
cana-4848	54	1	radiologists	radiologist	NOUN
cana-4848	54	2	have	have	VERB
cana-4848	54	3	to	to	PART
cana-4848	54	4	carefully	carefully	ADV
cana-4848	54	5	review	review	VERB
cana-4848	54	6	the	the	DET
cana-4848	54	7	massive	massive	ADJ
cana-4848	54	8	amounts	amount	NOUN
cana-4848	54	9	of	of	ADP
cana-4848	54	10	imaging	imaging	NOUN
cana-4848	54	11	data	datum	NOUN
cana-4848	54	12	provided	provide	VERB
cana-4848	54	13	by	by	ADP
cana-4848	54	14	traditional	traditional	ADJ
cana-4848	54	15	detection	detection	NOUN
cana-4848	54	16	methods	method	NOUN
cana-4848	54	17	,	,	PUNCT
cana-4848	54	18	such	such	ADJ
cana-4848	54	19	as	as	ADP
cana-4848	54	20	mri	mri	NOUN
cana-4848	54	21	and	and	CCONJ
cana-4848	54	22	ct	ct	PROPN
cana-4848	54	23	scans	scan	NOUN
cana-4848	54	24	.	.	PUNCT
cana-4848	55	1	nevertheless	nevertheless	ADV
cana-4848	55	2	,	,	PUNCT
cana-4848	55	3	this	this	DET
cana-4848	55	4	procedure	procedure	NOUN
cana-4848	55	5	can	can	AUX
cana-4848	55	6	be	be	AUX
cana-4848	55	7	lengthy	lengthy	ADJ
cana-4848	55	8	and	and	CCONJ
cana-4848	55	9	susceptible	susceptible	ADJ
cana-4848	55	10	to	to	ADP
cana-4848	55	11	human	human	ADJ
cana-4848	55	12	mistakes	mistake	NOUN
cana-4848	55	13	,	,	PUNCT
cana-4848	55	14	potentially	potentially	ADV
cana-4848	55	15	hindering	hinder	VERB
cana-4848	55	16	timely	timely	ADJ
cana-4848	55	17	treatment	treatment	NOUN
cana-4848	55	18	choices	choice	NOUN
cana-4848	55	19	.	.	PUNCT
cana-4848	56	1	conversely	conversely	ADV
cana-4848	56	2	,	,	PUNCT
cana-4848	56	3	deep	deep	ADJ
cana-4848	56	4	learning	learning	NOUN
cana-4848	56	5	employs	employ	VERB
cana-4848	56	6	artificial	artificial	ADJ
cana-4848	56	7	neural	neural	ADJ
cana-4848	56	8	networks	network	NOUN
cana-4848	56	9	to	to	PART
cana-4848	56	10	autonomously	autonomously	ADV
cana-4848	56	11	recognize	recognize	VERB
cana-4848	56	12	and	and	CCONJ
cana-4848	56	13	extract	extract	VERB
cana-4848	56	14	complex	complex	ADJ
cana-4848	56	15	patterns	pattern	NOUN
cana-4848	56	16	from	from	ADP
cana-4848	56	17	medical	medical	ADJ
cana-4848	56	18	imaging	imaging	NOUN
cana-4848	56	19	.	.	PUNCT
cana-4848	57	1	this	this	DET
cana-4848	57	2	technology	technology	NOUN
cana-4848	57	3	has	have	AUX
cana-4848	57	4	made	make	VERB
cana-4848	57	5	it	it	PRON
cana-4848	57	6	possible	possible	ADJ
cana-4848	57	7	for	for	SCONJ
cana-4848	57	8	computers	computer	NOUN
cana-4848	57	9	to	to	PART
cana-4848	57	10	rapidly	rapidly	ADV
cana-4848	57	11	and	and	CCONJ
cana-4848	57	12	precisely	precisely	ADV
cana-4848	57	13	interpret	interpret	VERB
cana-4848	57	14	mri	mri	NOUN
cana-4848	57	15	and	and	CCONJ
cana-4848	57	16	ct	ct	PROPN
cana-4848	57	17	scans	scan	NOUN
cana-4848	57	18	,	,	PUNCT
cana-4848	57	19	assisting	assist	VERB
cana-4848	57	20	radiologists	radiologist	NOUN
cana-4848	57	21	in	in	ADP
cana-4848	57	22	identifying	identify	VERB
cana-4848	57	23	even	even	ADV
cana-4848	57	24	the	the	DET
cana-4848	57	25	smallest	small	ADJ
cana-4848	57	26	anomalies	anomaly	NOUN
cana-4848	57	27	that	that	PRON
cana-4848	57	28	might	might	AUX
cana-4848	57	29	indicate	indicate	VERB
cana-4848	57	30	the	the	DET
cana-4848	57	31	existence	existence	NOUN
cana-4848	57	32	of	of	ADP
cana-4848	57	33	a	a	DET
cana-4848	57	34	brain	brain	NOUN
cana-4848	57	35	tumor	tumor	NOUN
cana-4848	57	36	.	.	PUNCT
cana-4848	58	1	brain	brain	NOUN
cana-4848	58	2	tumor	tumor	NOUN
cana-4848	58	3	prediction	prediction	NOUN
cana-4848	58	4	and	and	CCONJ
cana-4848	58	5	treatment	treatment	NOUN
cana-4848	58	6	are	be	AUX
cana-4848	58	7	greatly	greatly	ADV
cana-4848	58	8	improved	improve	VERB
cana-4848	58	9	when	when	SCONJ
cana-4848	58	10	genetic	genetic	ADJ
cana-4848	58	11	information	information	NOUN
cana-4848	58	12	and	and	CCONJ
cana-4848	58	13	patient	patient	ADJ
cana-4848	58	14	history	history	NOUN
cana-4848	58	15	are	be	AUX
cana-4848	58	16	incorporated	incorporate	VERB
cana-4848	58	17	into	into	ADP
cana-4848	58	18	dl	dl	PROPN
cana-4848	58	19	models	model	NOUN
cana-4848	58	20	.	.	PUNCT
cana-4848	59	1	a	a	DET
cana-4848	59	2	more	more	ADV
cana-4848	59	3	thorough	thorough	ADJ
cana-4848	59	4	understanding	understanding	NOUN
cana-4848	59	5	of	of	ADP
cana-4848	59	6	tumor	tumor	NOUN
cana-4848	59	7	features	feature	NOUN
cana-4848	59	8	and	and	CCONJ
cana-4848	59	9	patient	patient	ADJ
cana-4848	59	10	outcomes	outcome	NOUN
cana-4848	59	11	is	be	AUX
cana-4848	59	12	made	make	VERB
cana-4848	59	13	possible	possible	ADJ
cana-4848	59	14	by	by	ADP
cana-4848	59	15	this	this	DET
cana-4848	59	16	multimodal	multimodal	NOUN
cana-4848	59	17	approach	approach	NOUN
cana-4848	59	18	.	.	PUNCT
cana-4848	60	1	genetic	genetic	ADJ
cana-4848	60	2	information	information	NOUN
cana-4848	60	3	sheds	shed	VERB
cana-4848	60	4	light	light	NOUN
cana-4848	60	5	on	on	ADP
cana-4848	60	6	the	the	DET
cana-4848	60	7	communications	communication	NOUN
cana-4848	60	8	on	on	ADP
cana-4848	60	9	applied	apply	VERB
cana-4848	60	10	nonlinear	nonlinear	ADJ
cana-4848	60	11	analysis	analysis	NOUN
cana-4848	60	12	issn	issn	NOUN
cana-4848	60	13	:	:	PUNCT
cana-4848	60	14	1074	1074	NUM
cana-4848	60	15	-	-	PUNCT
cana-4848	60	16	133x	133x	NUM
cana-4848	60	17	vol	vol	VERB
cana-4848	60	18	32	32	NUM
cana-4848	60	19	no	no	NOUN
cana-4848	60	20	.	.	PUNCT
cana-4848	61	1	10s	10	NOUN
cana-4848	61	2	(	(	PUNCT
cana-4848	61	3	2025	2025	NUM
cana-4848	61	4	)	)	PUNCT
cana-4848	61	5	584	584	NUM
cana-4848	61	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4848	61	7	chemical	chemical	ADJ
cana-4848	61	8	and	and	CCONJ
cana-4848	61	9	genetic	genetic	ADJ
cana-4848	61	10	changes	change	NOUN
cana-4848	61	11	linked	link	VERB
cana-4848	61	12	to	to	ADP
cana-4848	61	13	brain	brain	NOUN
cana-4848	61	14	cancers	cancer	NOUN
cana-4848	61	15	.	.	PUNCT
cana-4848	62	1	dl	dl	PROPN
cana-4848	62	2	algorithms	algorithms	PROPN
cana-4848	62	3	can	can	AUX
cana-4848	62	4	find	find	VERB
cana-4848	62	5	patterns	pattern	NOUN
cana-4848	62	6	associated	associate	VERB
cana-4848	62	7	with	with	ADP
cana-4848	62	8	tumor	tumor	NOUN
cana-4848	62	9	behaviour	behaviour	NOUN
cana-4848	62	10	,	,	PUNCT
cana-4848	62	11	aggressiveness	aggressiveness	NOUN
cana-4848	62	12	,	,	PUNCT
cana-4848	62	13	and	and	CCONJ
cana-4848	62	14	responsiveness	responsiveness	NOUN
cana-4848	62	15	to	to	ADP
cana-4848	62	16	treatment	treatment	NOUN
cana-4848	62	17	by	by	ADP
cana-4848	62	18	examining	examine	VERB
cana-4848	62	19	particular	particular	ADJ
cana-4848	62	20	genetic	genetic	ADJ
cana-4848	62	21	markers	marker	NOUN
cana-4848	62	22	and	and	CCONJ
cana-4848	62	23	mutations	mutation	NOUN
cana-4848	62	24	.	.	PUNCT
cana-4848	63	1	the	the	DET
cana-4848	63	2	combination	combination	NOUN
cana-4848	63	3	of	of	ADP
cana-4848	63	4	genetic	genetic	ADJ
cana-4848	63	5	data	datum	NOUN
cana-4848	63	6	and	and	CCONJ
cana-4848	63	7	patient	patient	ADJ
cana-4848	63	8	history	history	NOUN
cana-4848	63	9	with	with	ADP
cana-4848	63	10	imaging	imaging	NOUN
cana-4848	63	11	data	datum	NOUN
cana-4848	63	12	,	,	PUNCT
cana-4848	63	13	such	such	ADJ
cana-4848	63	14	as	as	ADP
cana-4848	63	15	mri	mri	NOUN
cana-4848	63	16	scans	scan	NOUN
cana-4848	63	17	,	,	PUNCT
cana-4848	63	18	represents	represent	VERB
cana-4848	63	19	a	a	DET
cana-4848	63	20	multimodal	multimodal	ADJ
cana-4848	63	21	approach	approach	NOUN
cana-4848	63	22	to	to	ADP
cana-4848	63	23	brain	brain	NOUN
cana-4848	63	24	tumor	tumor	NOUN
cana-4848	63	25	prediction	prediction	NOUN
cana-4848	63	26	.	.	PUNCT
cana-4848	64	1	this	this	DET
cana-4848	64	2	integration	integration	NOUN
cana-4848	64	3	allows	allow	VERB
cana-4848	64	4	dl	dl	PROPN
cana-4848	64	5	models	model	NOUN
cana-4848	64	6	to	to	PART
cana-4848	64	7	analyse	analyse	VERB
cana-4848	64	8	diverse	diverse	ADJ
cana-4848	64	9	data	datum	NOUN
cana-4848	64	10	types	type	NOUN
cana-4848	64	11	simultaneously	simultaneously	ADV
cana-4848	64	12	,	,	PUNCT
cana-4848	64	13	enhancing	enhance	VERB
cana-4848	64	14	their	their	PRON
cana-4848	64	15	ability	ability	NOUN
cana-4848	64	16	to	to	PART
cana-4848	64	17	detect	detect	VERB
cana-4848	64	18	tumors	tumor	NOUN
cana-4848	64	19	,	,	PUNCT
cana-4848	64	20	classify	classify	VERB
cana-4848	64	21	subtypes	subtype	NOUN
cana-4848	64	22	,	,	PUNCT
cana-4848	64	23	and	and	CCONJ
cana-4848	64	24	predict	predict	VERB
cana-4848	64	25	patient	patient	ADJ
cana-4848	64	26	outcomes	outcome	NOUN
cana-4848	64	27	.	.	PUNCT
cana-4848	65	1	such	such	ADJ
cana-4848	65	2	comprehensive	comprehensive	ADJ
cana-4848	65	3	models	model	NOUN
cana-4848	65	4	can	can	AUX
cana-4848	65	5	lead	lead	VERB
cana-4848	65	6	to	to	ADP
cana-4848	65	7	better	well	ADV
cana-4848	65	8	-	-	PUNCT
cana-4848	65	9	informed	inform	VERB
cana-4848	65	10	clinical	clinical	ADJ
cana-4848	65	11	decisions	decision	NOUN
cana-4848	65	12	,	,	PUNCT
cana-4848	65	13	ultimately	ultimately	ADV
cana-4848	65	14	improving	improve	VERB
cana-4848	65	15	patient	patient	ADJ
cana-4848	65	16	care	care	NOUN
cana-4848	65	17	and	and	CCONJ
cana-4848	65	18	treatment	treatment	NOUN
cana-4848	65	19	efficacy	efficacy	NOUN
cana-4848	65	20	.	.	PUNCT
cana-4848	66	1	there	there	PRON
cana-4848	66	2	are	be	VERB
cana-4848	66	3	some	some	DET
cana-4848	66	4	challenges	challenge	NOUN
cana-4848	66	5	for	for	ADP
cana-4848	66	6	brain	brain	NOUN
cana-4848	66	7	tumer	tumer	NOUN
cana-4848	66	8	prediction	prediction	NOUN
cana-4848	66	9	using	use	VERB
cana-4848	66	10	dl	dl	PRON
cana-4848	66	11	such	such	ADJ
cana-4848	66	12	as	as	ADP
cana-4848	66	13	limited	limited	ADJ
cana-4848	66	14	dataset	dataset	NOUN
cana-4848	66	15	and	and	CCONJ
cana-4848	66	16	imbalanced	imbalanced	ADJ
cana-4848	66	17	data	datum	NOUN
cana-4848	66	18	.	.	PUNCT
cana-4848	67	1	there	there	PRON
cana-4848	67	2	are	be	VERB
cana-4848	67	3	frequently	frequently	ADV
cana-4848	67	4	few	few	ADJ
cana-4848	67	5	high	high	ADJ
cana-4848	67	6	-	-	PUNCT
cana-4848	67	7	quality	quality	NOUN
cana-4848	67	8	,	,	PUNCT
cana-4848	67	9	annotated	annotate	VERB
cana-4848	67	10	datasets	dataset	NOUN
cana-4848	67	11	available	available	ADJ
cana-4848	67	12	for	for	ADP
cana-4848	67	13	dl	dl	PROPN
cana-4848	67	14	model	model	PROPN
cana-4848	67	15	training	training	NOUN
cana-4848	67	16	.	.	PUNCT
cana-4848	68	1	the	the	DET
cana-4848	68	2	variety	variety	NOUN
cana-4848	68	3	of	of	ADP
cana-4848	68	4	tumor	tumor	NOUN
cana-4848	68	5	forms	form	NOUN
cana-4848	68	6	and	and	CCONJ
cana-4848	68	7	patient	patient	ADJ
cana-4848	68	8	demographics	demographic	NOUN
cana-4848	68	9	may	may	AUX
cana-4848	68	10	not	not	PART
cana-4848	68	11	be	be	AUX
cana-4848	68	12	adequately	adequately	ADV
cana-4848	68	13	represented	represent	VERB
cana-4848	68	14	in	in	ADP
cana-4848	68	15	many	many	ADJ
cana-4848	68	16	of	of	ADP
cana-4848	68	17	the	the	DET
cana-4848	68	18	datasets	dataset	NOUN
cana-4848	68	19	that	that	PRON
cana-4848	68	20	are	be	AUX
cana-4848	68	21	currently	currently	ADV
cana-4848	68	22	available	available	ADJ
cana-4848	68	23	.	.	PUNCT
cana-4848	69	1	tumor	tumor	NOUN
cana-4848	69	2	characteristics	characteristic	NOUN
cana-4848	69	3	may	may	AUX
cana-4848	69	4	be	be	AUX
cana-4848	69	5	obscured	obscure	VERB
cana-4848	69	6	by	by	ADP
cana-4848	69	7	noise	noise	NOUN
cana-4848	69	8	and	and	CCONJ
cana-4848	69	9	abnormalities	abnormality	NOUN
cana-4848	69	10	in	in	ADP
cana-4848	69	11	medical	medical	ADJ
cana-4848	69	12	pictures	picture	NOUN
cana-4848	69	13	.	.	PUNCT
cana-4848	70	1	these	these	DET
cana-4848	70	2	noises	noise	NOUN
cana-4848	70	3	may	may	AUX
cana-4848	70	4	be	be	AUX
cana-4848	70	5	difficult	difficult	ADJ
cana-4848	70	6	for	for	SCONJ
cana-4848	70	7	dl	dl	PROPN
cana-4848	70	8	models	model	NOUN
cana-4848	70	9	to	to	PART
cana-4848	70	10	distinguish	distinguish	VERB
cana-4848	70	11	from	from	ADP
cana-4848	70	12	real	real	ADJ
cana-4848	70	13	tumor	tumor	NOUN
cana-4848	70	14	features	feature	NOUN
cana-4848	70	15	.	.	PUNCT
cana-4848	71	1	the	the	DET
cana-4848	71	2	primary	primary	ADJ
cana-4848	71	3	goal	goal	NOUN
cana-4848	71	4	of	of	ADP
cana-4848	71	5	this	this	DET
cana-4848	71	6	paper	paper	NOUN
cana-4848	71	7	is	be	AUX
cana-4848	71	8	to	to	PART
cana-4848	71	9	conduct	conduct	VERB
cana-4848	71	10	an	an	DET
cana-4848	71	11	in	in	ADP
cana-4848	71	12	-	-	PUNCT
cana-4848	71	13	depth	depth	NOUN
cana-4848	71	14	review	review	NOUN
cana-4848	71	15	of	of	ADP
cana-4848	71	16	research	research	NOUN
cana-4848	71	17	studies	study	NOUN
cana-4848	71	18	focused	focus	VERB
cana-4848	71	19	on	on	ADP
cana-4848	71	20	brain	brain	NOUN
cana-4848	71	21	tumor	tumor	NOUN
cana-4848	71	22	detection	detection	NOUN
cana-4848	71	23	employing	employ	VERB
cana-4848	71	24	deep	deep	ADJ
cana-4848	71	25	learning	learning	NOUN
cana-4848	71	26	techniques	technique	NOUN
cana-4848	71	27	.	.	PUNCT
cana-4848	72	1	the	the	DET
cana-4848	72	2	opening	opening	NOUN
cana-4848	72	3	section	section	NOUN
cana-4848	72	4	presents	present	VERB
cana-4848	72	5	the	the	DET
cana-4848	72	6	introduction	introduction	NOUN
cana-4848	72	7	.	.	PUNCT
cana-4848	73	1	the	the	DET
cana-4848	73	2	subsequent	subsequent	ADJ
cana-4848	73	3	section	section	NOUN
cana-4848	73	4	discusses	discuss	VERB
cana-4848	73	5	the	the	DET
cana-4848	73	6	application	application	NOUN
cana-4848	73	7	of	of	ADP
cana-4848	73	8	deep	deep	ADJ
cana-4848	73	9	learning	learning	NOUN
cana-4848	73	10	models	model	NOUN
cana-4848	73	11	for	for	ADP
cana-4848	73	12	identifying	identify	VERB
cana-4848	73	13	brain	brain	NOUN
cana-4848	73	14	tumors	tumor	NOUN
cana-4848	73	15	.	.	PUNCT
cana-4848	74	1	2	2	X
cana-4848	74	2	.	.	NUM
cana-4848	74	3	objectives	objective	NOUN
cana-4848	74	4	to	to	PART
cana-4848	74	5	study	study	VERB
cana-4848	74	6	and	and	CCONJ
cana-4848	74	7	analyze	analyze	VERB
cana-4848	74	8	the	the	DET
cana-4848	74	9	various	various	ADJ
cana-4848	74	10	techniques	technique	NOUN
cana-4848	74	11	for	for	ADP
cana-4848	74	12	the	the	DET
cana-4848	74	13	brain	brain	NOUN
cana-4848	74	14	tumer	tumer	NOUN
cana-4848	74	15	disease	disease	NOUN
cana-4848	74	16	prediction	prediction	NOUN
cana-4848	74	17	using	use	VERB
cana-4848	74	18	neural	neural	ADJ
cana-4848	74	19	network	network	NOUN
cana-4848	74	20	.	.	PUNCT
cana-4848	75	1	data	datum	NOUN
cana-4848	75	2	preprocessing	preprocessing	NOUN
cana-4848	75	3	of	of	ADP
cana-4848	75	4	selected	select	VERB
cana-4848	75	5	dataset	dataset	NOUN
cana-4848	75	6	.	.	PUNCT
cana-4848	76	1	(	(	PUNCT
cana-4848	76	2	normalization	normalization	NOUN
cana-4848	76	3	and	and	CCONJ
cana-4848	76	4	gray	gray	ADJ
cana-4848	76	5	scaling	scaling	NOUN
cana-4848	76	6	)	)	PUNCT
cana-4848	76	7	.	.	PUNCT
cana-4848	77	1	comparative	comparative	ADJ
cana-4848	77	2	analysis	analysis	NOUN
cana-4848	77	3	of	of	ADP
cana-4848	77	4	the	the	DET
cana-4848	77	5	existing	exist	VERB
cana-4848	77	6	system	system	NOUN
cana-4848	77	7	to	to	PART
cana-4848	77	8	access	access	VERB
cana-4848	77	9	effectiveness	effectiveness	NOUN
cana-4848	77	10	and	and	CCONJ
cana-4848	77	11	efficiency	efficiency	NOUN
cana-4848	77	12	of	of	ADP
cana-4848	77	13	proposed	propose	VERB
cana-4848	77	14	model	model	NOUN
cana-4848	77	15	.	.	PUNCT
cana-4848	78	1	use	use	VERB
cana-4848	78	2	classification	classification	NOUN
cana-4848	78	3	techniques	technique	NOUN
cana-4848	78	4	using	use	VERB
cana-4848	78	5	deep	deep	ADJ
cana-4848	78	6	learning	learning	NOUN
cana-4848	78	7	algorithm	algorithm	NOUN
cana-4848	78	8	and	and	CCONJ
cana-4848	78	9	develop	develop	VERB
cana-4848	78	10	a	a	DET
cana-4848	78	11	model	model	NOUN
cana-4848	78	12	.	.	PUNCT
cana-4848	79	1	performance	performance	NOUN
cana-4848	79	2	analysis	analysis	NOUN
cana-4848	79	3	using	use	VERB
cana-4848	79	4	evaluation	evaluation	NOUN
cana-4848	79	5	metric	metric	NOUN
cana-4848	79	6	.	.	PUNCT
cana-4848	80	1	3	3	X
cana-4848	80	2	.	.	X
cana-4848	80	3	methods	method	NOUN
cana-4848	80	4	in	in	ADP
cana-4848	80	5	the	the	DET
cana-4848	80	6	realm	realm	NOUN
cana-4848	80	7	of	of	ADP
cana-4848	80	8	medical	medical	ADJ
cana-4848	80	9	imaging	imaging	NOUN
cana-4848	80	10	,	,	PUNCT
cana-4848	80	11	deep	deep	ADJ
cana-4848	80	12	learning	learning	NOUN
cana-4848	80	13	has	have	AUX
cana-4848	80	14	emerged	emerge	VERB
cana-4848	80	15	as	as	ADP
cana-4848	80	16	a	a	DET
cana-4848	80	17	powerful	powerful	ADJ
cana-4848	80	18	instrument	instrument	NOUN
cana-4848	80	19	,	,	PUNCT
cana-4848	80	20	particularly	particularly	ADV
cana-4848	80	21	for	for	ADP
cana-4848	80	22	detecting	detect	VERB
cana-4848	80	23	and	and	CCONJ
cana-4848	80	24	classifying	classify	VERB
cana-4848	80	25	brain	brain	NOUN
cana-4848	80	26	cancers	cancer	NOUN
cana-4848	80	27	.	.	PUNCT
cana-4848	81	1	dl	dl	PROPN
cana-4848	81	2	models	model	NOUN
cana-4848	81	3	have	have	AUX
cana-4848	81	4	demonstrated	demonstrate	VERB
cana-4848	81	5	greater	great	ADJ
cana-4848	81	6	accuracy	accuracy	NOUN
cana-4848	81	7	in	in	ADP
cana-4848	81	8	diagnosing	diagnose	VERB
cana-4848	81	9	brain	brain	NOUN
cana-4848	81	10	tumors	tumor	NOUN
cana-4848	81	11	through	through	ADP
cana-4848	81	12	mri	mri	NOUN
cana-4848	81	13	scans	scan	NOUN
cana-4848	81	14	.	.	PUNCT
cana-4848	82	1	various	various	ADJ
cana-4848	82	2	types	type	NOUN
cana-4848	82	3	of	of	ADP
cana-4848	82	4	brain	brain	NOUN
cana-4848	82	5	tumors	tumor	NOUN
cana-4848	82	6	,	,	PUNCT
cana-4848	82	7	including	include	VERB
cana-4848	82	8	gliomas	glioma	NOUN
cana-4848	82	9	,	,	PUNCT
cana-4848	82	10	meningiomas	meningioma	NOUN
cana-4848	82	11	,	,	PUNCT
cana-4848	82	12	and	and	CCONJ
cana-4848	82	13	pituitary	pituitary	ADJ
cana-4848	82	14	tumors	tumor	NOUN
cana-4848	82	15	,	,	PUNCT
cana-4848	82	16	can	can	AUX
cana-4848	82	17	also	also	ADV
cana-4848	82	18	be	be	AUX
cana-4848	82	19	diagnosed	diagnose	VERB
cana-4848	82	20	using	use	VERB
cana-4848	82	21	deep	deep	ADJ
cana-4848	82	22	learning	learning	NOUN
cana-4848	82	23	models	model	NOUN
cana-4848	82	24	.	.	PUNCT
cana-4848	83	1	in	in	ADP
cana-4848	83	2	the	the	DET
cana-4848	83	3	first	first	ADJ
cana-4848	83	4	phase	phase	NOUN
cana-4848	83	5	of	of	ADP
cana-4848	83	6	model	model	NOUN
cana-4848	83	7	building	building	NOUN
cana-4848	83	8	we	we	PRON
cana-4848	83	9	collect	collect	VERB
cana-4848	83	10	the	the	DET
cana-4848	83	11	dataset	dataset	NOUN
cana-4848	83	12	from	from	ADP
cana-4848	83	13	different	different	ADJ
cana-4848	83	14	sources	source	NOUN
cana-4848	83	15	.	.	PUNCT
cana-4848	84	1	this	this	DET
cana-4848	84	2	dataset	dataset	NOUN
cana-4848	84	3	include	include	VERB
cana-4848	84	4	mri	mri	NOUN
cana-4848	84	5	scan	scan	NOUN
cana-4848	84	6	images	image	NOUN
cana-4848	84	7	from	from	ADP
cana-4848	84	8	different	different	ADJ
cana-4848	84	9	radiologist	radiologist	NOUN
cana-4848	84	10	.	.	PUNCT
cana-4848	85	1	after	after	SCONJ
cana-4848	85	2	that	that	PRON
cana-4848	85	3	we	we	PRON
cana-4848	85	4	pre	pre	VERB
cana-4848	85	5	-	-	NOUN
cana-4848	85	6	process	process	VERB
cana-4848	85	7	the	the	DET
cana-4848	85	8	dataset	dataset	NOUN
cana-4848	85	9	such	such	ADJ
cana-4848	85	10	as	as	ADP
cana-4848	85	11	resize	resize	VERB
cana-4848	85	12	the	the	DET
cana-4848	85	13	images	image	NOUN
cana-4848	85	14	,	,	PUNCT
cana-4848	85	15	rotate	rotate	VERB
cana-4848	85	16	the	the	DET
cana-4848	85	17	images	image	NOUN
cana-4848	85	18	and	and	CCONJ
cana-4848	85	19	convert	convert	VERB
cana-4848	85	20	the	the	DET
cana-4848	85	21	images	image	NOUN
cana-4848	85	22	into	into	ADP
cana-4848	85	23	grayscale	grayscale	NOUN
cana-4848	85	24	image	image	NOUN
cana-4848	85	25	.	.	PUNCT
cana-4848	86	1	we	we	PRON
cana-4848	86	2	should	should	AUX
cana-4848	86	3	remove	remove	VERB
cana-4848	86	4	the	the	DET
cana-4848	86	5	noise	noise	NOUN
cana-4848	86	6	from	from	ADP
cana-4848	86	7	the	the	DET
cana-4848	86	8	images	image	NOUN
cana-4848	86	9	to	to	PART
cana-4848	86	10	extract	extract	VERB
cana-4848	86	11	the	the	DET
cana-4848	86	12	features	feature	NOUN
cana-4848	86	13	.	.	PUNCT
cana-4848	87	1	we	we	PRON
cana-4848	87	2	use	use	VERB
cana-4848	87	3	high	high	ADJ
cana-4848	87	4	pass	pass	NOUN
cana-4848	87	5	filtering	filter	VERB
cana-4848	87	6	,	,	PUNCT
cana-4848	87	7	low	low	ADJ
cana-4848	87	8	pass	pass	NOUN
cana-4848	87	9	filtering	filter	VERB
cana-4848	87	10	,	,	PUNCT
cana-4848	87	11	gaussian	gaussian	ADJ
cana-4848	87	12	filters	filter	NOUN
cana-4848	87	13	to	to	PART
cana-4848	87	14	remove	remove	VERB
cana-4848	87	15	the	the	DET
cana-4848	87	16	noise	noise	NOUN
cana-4848	87	17	from	from	ADP
cana-4848	87	18	the	the	DET
cana-4848	87	19	images	image	NOUN
cana-4848	87	20	.	.	PUNCT
cana-4848	88	1	different	different	ADJ
cana-4848	88	2	types	type	NOUN
cana-4848	88	3	of	of	ADP
cana-4848	88	4	features	feature	NOUN
cana-4848	88	5	we	we	PRON
cana-4848	88	6	can	can	AUX
cana-4848	88	7	extract	extract	VERB
cana-4848	88	8	from	from	ADP
cana-4848	88	9	the	the	DET
cana-4848	88	10	dataset	dataset	NOUN
cana-4848	88	11	such	such	ADJ
cana-4848	88	12	as	as	ADP
cana-4848	88	13	shape	shape	NOUN
cana-4848	88	14	based	base	VERB
cana-4848	88	15	features	feature	NOUN
cana-4848	88	16	,	,	PUNCT
cana-4848	88	17	intensity	intensity	NOUN
cana-4848	88	18	based	base	VERB
cana-4848	88	19	features	feature	NOUN
cana-4848	88	20	and	and	CCONJ
cana-4848	88	21	model	model	NOUN
cana-4848	88	22	based	base	VERB
cana-4848	88	23	features	feature	NOUN
cana-4848	88	24	.	.	PUNCT
cana-4848	89	1	in	in	ADP
cana-4848	89	2	the	the	DET
cana-4848	89	3	next	next	ADJ
cana-4848	89	4	phase	phase	NOUN
cana-4848	89	5	we	we	PRON
cana-4848	89	6	perform	perform	VERB
cana-4848	89	7	classification	classification	NOUN
cana-4848	89	8	of	of	ADP
cana-4848	89	9	the	the	DET
cana-4848	89	10	images	image	NOUN
cana-4848	89	11	using	use	VERB
cana-4848	89	12	cnn	cnn	PROPN
cana-4848	89	13	,	,	PUNCT
cana-4848	89	14	ann	ann	PROPN
cana-4848	89	15	,	,	PUNCT
cana-4848	89	16	autoendoder	autoendoder	NOUN
cana-4848	89	17	models	model	NOUN
cana-4848	89	18	.	.	PUNCT
cana-4848	90	1	in	in	ADP
cana-4848	90	2	this	this	DET
cana-4848	90	3	phase	phase	NOUN
cana-4848	90	4	we	we	PRON
cana-4848	90	5	can	can	AUX
cana-4848	90	6	classify	classify	VERB
cana-4848	90	7	the	the	DET
cana-4848	90	8	images	image	NOUN
cana-4848	90	9	into	into	ADP
cana-4848	90	10	healthy	healthy	ADJ
cana-4848	90	11	image	image	NOUN
cana-4848	90	12	and	and	CCONJ
cana-4848	90	13	tumour	tumour	NOUN
cana-4848	90	14	image	image	NOUN
cana-4848	90	15	.	.	PUNCT
cana-4848	91	1	data	datum	NOUN
cana-4848	91	2	preprocessing	preprocesse	VERB
cana-4848	91	3	mri	mri	NOUN
cana-4848	91	4	dataset	dataset	NOUN
cana-4848	91	5	remove	remove	NOUN
cana-4848	91	6	noise	noise	NOUN
cana-4848	91	7	from	from	ADP
cana-4848	91	8	images	image	NOUN
cana-4848	91	9	communications	communication	NOUN
cana-4848	91	10	on	on	ADP
cana-4848	91	11	applied	apply	VERB
cana-4848	91	12	nonlinear	nonlinear	ADJ
cana-4848	91	13	analysis	analysis	NOUN
cana-4848	91	14	issn	issn	NOUN
cana-4848	91	15	:	:	PUNCT
cana-4848	91	16	1074	1074	NUM
cana-4848	91	17	-	-	PUNCT
cana-4848	91	18	133x	133x	NUM
cana-4848	91	19	vol	vol	VERB
cana-4848	91	20	32	32	NUM
cana-4848	91	21	no	no	NOUN
cana-4848	91	22	.	.	PUNCT
cana-4848	92	1	10s	10	NOUN
cana-4848	92	2	(	(	PUNCT
cana-4848	92	3	2025	2025	NUM
cana-4848	92	4	)	)	PUNCT
cana-4848	92	5	585	585	NUM
cana-4848	92	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4848	92	7	figure	figure	NOUN
cana-4848	92	8	01	01	NUM
cana-4848	92	9	:	:	PUNCT
cana-4848	92	10	flow	flow	NOUN
cana-4848	92	11	of	of	ADP
cana-4848	92	12	dl	dl	PROPN
cana-4848	92	13	model	model	NOUN
cana-4848	92	14	building	build	VERB
cana-4848	92	15	4	4	NUM
cana-4848	92	16	.	.	PUNCT
cana-4848	93	1	literature	literature	NOUN
cana-4848	93	2	survey	survey	VERB
cana-4848	93	3	a	a	DET
cana-4848	93	4	research	research	NOUN
cana-4848	93	5	paper	paper	NOUN
cana-4848	93	6	by	by	ADP
cana-4848	93	7	arvanitis	arvanitis	PROPN
cana-4848	93	8	et	et	PROPN
cana-4848	93	9	al	al	PROPN
cana-4848	93	10	.	.	PROPN
cana-4848	93	11	highlighted	highlight	VERB
cana-4848	93	12	the	the	DET
cana-4848	93	13	intricate	intricate	ADJ
cana-4848	93	14	interactions	interaction	NOUN
cana-4848	93	15	within	within	ADP
cana-4848	93	16	brain	brain	NOUN
cana-4848	93	17	tumors	tumor	NOUN
cana-4848	93	18	and	and	CCONJ
cana-4848	93	19	underscored	underscore	VERB
cana-4848	93	20	the	the	DET
cana-4848	93	21	significance	significance	NOUN
cana-4848	93	22	of	of	ADP
cana-4848	93	23	the	the	DET
cana-4848	93	24	blood	blood	NOUN
cana-4848	93	25	-	-	PUNCT
cana-4848	93	26	brain	brain	NOUN
cana-4848	93	27	and	and	CCONJ
cana-4848	93	28	blood	blood	NOUN
cana-4848	93	29	-	-	PUNCT
cana-4848	93	30	tumor	tumor	NOUN
cana-4848	93	31	barriers	barrier	NOUN
cana-4848	93	32	regarding	regard	VERB
cana-4848	93	33	brain	brain	NOUN
cana-4848	93	34	tumors	tumor	NOUN
cana-4848	93	35	and	and	CCONJ
cana-4848	93	36	metastasis	metastasis	NOUN
cana-4848	93	37	.	.	PUNCT
cana-4848	94	1	deeksha	deeksha	AUX
cana-4848	94	2	et	et	PROPN
cana-4848	94	3	al	al	PROPN
cana-4848	94	4	.	.	PROPN
cana-4848	94	5	employed	employ	VERB
cana-4848	94	6	cnn	cnn	PROPN
cana-4848	94	7	to	to	PART
cana-4848	94	8	classify	classify	VERB
cana-4848	94	9	brain	brain	NOUN
cana-4848	94	10	tumors	tumor	NOUN
cana-4848	94	11	and	and	CCONJ
cana-4848	94	12	their	their	PRON
cana-4848	94	13	various	various	ADJ
cana-4848	94	14	types	type	NOUN
cana-4848	94	15	,	,	PUNCT
cana-4848	94	16	showcasing	showcase	VERB
cana-4848	94	17	the	the	DET
cana-4848	94	18	promising	promising	ADJ
cana-4848	94	19	use	use	NOUN
cana-4848	94	20	of	of	ADP
cana-4848	94	21	deep	deep	ADJ
cana-4848	94	22	learning	learning	NOUN
cana-4848	94	23	in	in	ADP
cana-4848	94	24	the	the	DET
cana-4848	94	25	precise	precise	ADJ
cana-4848	94	26	classification	classification	NOUN
cana-4848	94	27	of	of	ADP
cana-4848	94	28	brain	brain	NOUN
cana-4848	94	29	cancers	cancer	NOUN
cana-4848	94	30	[	[	X
cana-4848	94	31	1	1	NUM
cana-4848	94	32	]	]	PUNCT
cana-4848	94	33	.	.	PUNCT
cana-4848	95	1	nazir	nazir	PROPN
cana-4848	95	2	et	et	PROPN
cana-4848	95	3	al	al	PROPN
cana-4848	95	4	.	.	PROPN
cana-4848	95	5	conducted	conduct	VERB
cana-4848	95	6	a	a	DET
cana-4848	95	7	comprehensive	comprehensive	ADJ
cana-4848	95	8	analysis	analysis	NOUN
cana-4848	95	9	of	of	ADP
cana-4848	95	10	deep	deep	ADJ
cana-4848	95	11	learning	learning	NOUN
cana-4848	95	12	's	's	PART
cana-4848	95	13	application	application	NOUN
cana-4848	95	14	in	in	ADP
cana-4848	95	15	brain	brain	NOUN
cana-4848	95	16	tumor	tumor	NOUN
cana-4848	95	17	detection	detection	NOUN
cana-4848	95	18	and	and	CCONJ
cana-4848	95	19	classification	classification	NOUN
cana-4848	95	20	between	between	ADP
cana-4848	95	21	2015	2015	NUM
cana-4848	95	22	and	and	CCONJ
cana-4848	95	23	2020	2020	NUM
cana-4848	95	24	,	,	PUNCT
cana-4848	95	25	highlighting	highlight	VERB
cana-4848	95	26	the	the	DET
cana-4848	95	27	significant	significant	ADJ
cana-4848	95	28	advancements	advancement	NOUN
cana-4848	95	29	in	in	ADP
cana-4848	95	30	this	this	DET
cana-4848	95	31	field	field	NOUN
cana-4848	96	1	[	[	X
cana-4848	96	2	1	1	NUM
cana-4848	96	3	]	]	PUNCT
cana-4848	96	4	.	.	PUNCT
cana-4848	97	1	amin	amin	PROPN
cana-4848	97	2	et	et	PROPN
cana-4848	97	3	al	al	PROPN
cana-4848	97	4	.	.	PROPN
cana-4848	97	5	also	also	ADV
cana-4848	97	6	contributed	contribute	VERB
cana-4848	97	7	to	to	ADP
cana-4848	97	8	the	the	DET
cana-4848	97	9	literature	literature	NOUN
cana-4848	97	10	by	by	ADP
cana-4848	97	11	surveying	survey	VERB
cana-4848	97	12	machine	machine	NOUN
cana-4848	97	13	learning	learn	VERB
cana-4848	97	14	algorithms	algorithm	NOUN
cana-4848	97	15	for	for	ADP
cana-4848	97	16	brain	brain	NOUN
cana-4848	97	17	tumor	tumor	NOUN
cana-4848	97	18	classification	classification	NOUN
cana-4848	97	19	and	and	CCONJ
cana-4848	97	20	detection	detection	NOUN
cana-4848	97	21	,	,	PUNCT
cana-4848	97	22	providing	provide	VERB
cana-4848	97	23	insights	insight	NOUN
cana-4848	97	24	into	into	ADP
cana-4848	97	25	the	the	DET
cana-4848	97	26	many	many	ADJ
cana-4848	97	27	methods	method	NOUN
cana-4848	97	28	employed	employ	VERB
cana-4848	97	29	in	in	ADP
cana-4848	97	30	this	this	DET
cana-4848	97	31	field	field	NOUN
cana-4848	98	1	[	[	X
cana-4848	98	2	1	1	NUM
cana-4848	98	3	]	]	PUNCT
cana-4848	98	4	.	.	PUNCT
cana-4848	99	1	the	the	DET
cana-4848	99	2	application	application	NOUN
cana-4848	99	3	of	of	ADP
cana-4848	99	4	transfer	transfer	NOUN
cana-4848	99	5	learning	learning	NOUN
cana-4848	99	6	,	,	PUNCT
cana-4848	99	7	a	a	DET
cana-4848	99	8	machine	machine	NOUN
cana-4848	99	9	learning	learning	NOUN
cana-4848	99	10	technique	technique	NOUN
cana-4848	99	11	that	that	PRON
cana-4848	99	12	repurposes	repurpose	VERB
cana-4848	99	13	models	model	NOUN
cana-4848	99	14	trained	train	VERB
cana-4848	99	15	for	for	ADP
cana-4848	99	16	one	one	NUM
cana-4848	99	17	task	task	NOUN
cana-4848	99	18	to	to	PART
cana-4848	99	19	address	address	VERB
cana-4848	99	20	related	related	ADJ
cana-4848	99	21	issues	issue	NOUN
cana-4848	99	22	,	,	PUNCT
cana-4848	99	23	has	have	AUX
cana-4848	99	24	significantly	significantly	ADV
cana-4848	99	25	improved	improve	VERB
cana-4848	99	26	medical	medical	ADJ
cana-4848	99	27	picture	picture	NOUN
cana-4848	99	28	analysis	analysis	NOUN
cana-4848	99	29	.	.	PUNCT
cana-4848	100	1	by	by	ADP
cana-4848	100	2	refining	refine	VERB
cana-4848	100	3	current	current	ADJ
cana-4848	100	4	models	model	NOUN
cana-4848	100	5	such	such	ADJ
cana-4848	100	6	as	as	ADP
cana-4848	100	7	resnet152	resnet152	PROPN
cana-4848	100	8	,	,	PUNCT
cana-4848	100	9	vgg19	vgg19	PROPN
cana-4848	100	10	,	,	PUNCT
cana-4848	100	11	densenet169	densenet169	PROPN
cana-4848	100	12	,	,	PUNCT
cana-4848	100	13	and	and	CCONJ
cana-4848	100	14	mobilenetv3	mobilenetv3	PROPN
cana-4848	100	15	,	,	PUNCT
cana-4848	100	16	researchers	researcher	NOUN
cana-4848	100	17	can	can	AUX
cana-4848	100	18	achieve	achieve	VERB
cana-4848	100	19	remarkable	remarkable	ADJ
cana-4848	100	20	precision	precision	NOUN
cana-4848	100	21	levels	level	NOUN
cana-4848	100	22	and	and	CCONJ
cana-4848	100	23	optimize	optimize	VERB
cana-4848	100	24	performance	performance	NOUN
cana-4848	100	25	in	in	ADP
cana-4848	100	26	applications	application	NOUN
cana-4848	100	27	such	such	ADJ
cana-4848	100	28	as	as	ADP
cana-4848	100	29	brain	brain	NOUN
cana-4848	100	30	tumor	tumor	NOUN
cana-4848	100	31	classification	classification	NOUN
cana-4848	100	32	[	[	X
cana-4848	100	33	2	2	NUM
cana-4848	100	34	]	]	PUNCT
cana-4848	100	35	.	.	PUNCT
cana-4848	101	1	according	accord	VERB
cana-4848	101	2	to	to	ADP
cana-4848	101	3	praveen	praveen	PROPN
cana-4848	101	4	kumar	kumar	PROPN
cana-4848	101	5	ramtekkar	ramtekkar	PROPN
cana-4848	101	6	,	,	PUNCT
cana-4848	101	7	anjana	anjana	PROPN
cana-4848	101	8	pandey	pandey	PROPN
cana-4848	101	9	,	,	PUNCT
cana-4848	101	10	and	and	CCONJ
cana-4848	101	11	others	other	NOUN
cana-4848	101	12	,	,	PUNCT
cana-4848	101	13	the	the	DET
cana-4848	101	14	technique	technique	NOUN
cana-4848	101	15	identifies	identify	VERB
cana-4848	101	16	cerebral	cerebral	ADJ
cana-4848	101	17	neoplasms	neoplasm	NOUN
cana-4848	101	18	from	from	ADP
cana-4848	101	19	mri	mri	NOUN
cana-4848	101	20	scans	scan	NOUN
cana-4848	101	21	with	with	ADP
cana-4848	101	22	an	an	DET
cana-4848	101	23	astounding	astounding	ADJ
cana-4848	101	24	98.9	98.9	NUM
cana-4848	101	25	%	%	NOUN
cana-4848	101	26	accuracy	accuracy	NOUN
cana-4848	101	27	rate	rate	NOUN
cana-4848	101	28	.	.	PUNCT
cana-4848	102	1	this	this	DET
cana-4848	102	2	high	high	ADJ
cana-4848	102	3	level	level	NOUN
cana-4848	102	4	of	of	ADP
cana-4848	102	5	accuracy	accuracy	NOUN
cana-4848	102	6	is	be	AUX
cana-4848	102	7	a	a	DET
cana-4848	102	8	major	major	ADJ
cana-4848	102	9	advancement	advancement	NOUN
cana-4848	102	10	in	in	ADP
cana-4848	102	11	the	the	DET
cana-4848	102	12	early	early	ADJ
cana-4848	102	13	detection	detection	NOUN
cana-4848	102	14	of	of	ADP
cana-4848	102	15	brain	brain	NOUN
cana-4848	102	16	tumors	tumor	NOUN
cana-4848	102	17	,	,	PUNCT
cana-4848	102	18	which	which	PRON
cana-4848	102	19	can	can	AUX
cana-4848	102	20	have	have	VERB
cana-4848	102	21	a	a	DET
cana-4848	102	22	substantial	substantial	ADJ
cana-4848	102	23	impact	impact	NOUN
cana-4848	102	24	on	on	ADP
cana-4848	102	25	treatment	treatment	NOUN
cana-4848	102	26	outcomes	outcome	NOUN
cana-4848	102	27	[	[	X
cana-4848	102	28	3	3	NUM
cana-4848	102	29	]	]	PUNCT
cana-4848	102	30	.	.	PUNCT
cana-4848	103	1	following	follow	VERB
cana-4848	103	2	picture	picture	NOUN
cana-4848	103	3	segmentation	segmentation	NOUN
cana-4848	103	4	,	,	PUNCT
cana-4848	103	5	the	the	DET
cana-4848	103	6	glcm	glcm	NOUN
cana-4848	103	7	(	(	PUNCT
cana-4848	103	8	grey	grey	ADJ
cana-4848	103	9	level	level	NOUN
cana-4848	103	10	cooccurrence	cooccurrence	NOUN
cana-4848	103	11	matrix	matrix	NOUN
cana-4848	103	12	)	)	PUNCT
cana-4848	103	13	is	be	AUX
cana-4848	103	14	used	use	VERB
cana-4848	103	15	in	in	ADP
cana-4848	103	16	this	this	DET
cana-4848	103	17	research	research	NOUN
cana-4848	103	18	to	to	PART
cana-4848	103	19	extract	extract	VERB
cana-4848	103	20	features	feature	NOUN
cana-4848	103	21	.	.	PUNCT
cana-4848	104	1	the	the	DET
cana-4848	104	2	study	study	NOUN
cana-4848	104	3	of	of	ADP
cana-4848	104	4	soheila	soheila	PROPN
cana-4848	104	5	saeedi	saeedi	PROPN
cana-4848	104	6	,	,	PUNCT
cana-4848	104	7	sorayya	sorayya	PROPN
cana-4848	104	8	rezayi	rezayi	VERB
cana-4848	104	9	,	,	PUNCT
cana-4848	104	10	and	and	CCONJ
cana-4848	104	11	others	other	NOUN
cana-4848	104	12	on	on	ADP
cana-4848	104	13	mri	mri	NOUN
cana-4848	104	14	-	-	PUNCT
cana-4848	104	15	based	base	VERB
cana-4848	104	16	brain	brain	NOUN
cana-4848	104	17	tumor	tumor	NOUN
cana-4848	104	18	identification	identification	NOUN
cana-4848	104	19	using	use	VERB
cana-4848	104	20	convolutional	convolutional	ADJ
cana-4848	104	21	dl	dl	NOUN
cana-4848	104	22	methods	method	NOUN
cana-4848	104	23	and	and	CCONJ
cana-4848	104	24	machine	machine	NOUN
cana-4848	104	25	learning	learn	VERB
cana-4848	104	26	techniques	technique	NOUN
cana-4848	104	27	presents	present	VERB
cana-4848	104	28	several	several	ADJ
cana-4848	104	29	practical	practical	ADJ
cana-4848	104	30	implications	implication	NOUN
cana-4848	104	31	for	for	ADP
cana-4848	104	32	the	the	DET
cana-4848	104	33	medical	medical	ADJ
cana-4848	104	34	business	business	NOUN
cana-4848	104	35	,	,	PUNCT
cana-4848	104	36	particularly	particularly	ADV
cana-4848	104	37	in	in	ADP
cana-4848	104	38	radiology	radiology	NOUN
cana-4848	104	39	and	and	CCONJ
cana-4848	104	40	oncology	oncology	NOUN
cana-4848	104	41	.	.	PUNCT
cana-4848	105	1	the	the	DET
cana-4848	105	2	study	study	NOUN
cana-4848	105	3	achieved	achieve	VERB
cana-4848	105	4	high	high	ADJ
cana-4848	105	5	training	training	NOUN
cana-4848	105	6	accuracies	accuracy	NOUN
cana-4848	105	7	of	of	ADP
cana-4848	105	8	95.63	95.63	NUM
cana-4848	105	9	%	%	NOUN
cana-4848	105	10	for	for	ADP
cana-4848	105	11	the	the	DET
cana-4848	105	12	auto	auto	NOUN
cana-4848	105	13	-	-	PUNCT
cana-4848	105	14	encoder	encoder	NOUN
cana-4848	105	15	network	network	NOUN
cana-4848	105	16	and	and	CCONJ
cana-4848	105	17	96.47	96.47	NUM
cana-4848	105	18	%	%	NOUN
cana-4848	105	19	for	for	ADP
cana-4848	105	20	the	the	DET
cana-4848	105	21	proposed	propose	VERB
cana-4848	105	22	2d	2d	NUM
cana-4848	105	23	cnn	cnn	PROPN
cana-4848	105	24	.	.	PUNCT
cana-4848	106	1	this	this	DET
cana-4848	106	2	level	level	NOUN
cana-4848	106	3	of	of	ADP
cana-4848	106	4	accuracy	accuracy	NOUN
cana-4848	106	5	can	can	AUX
cana-4848	106	6	significantly	significantly	ADV
cana-4848	106	7	improve	improve	VERB
cana-4848	106	8	the	the	DET
cana-4848	106	9	diagnosis	diagnosis	NOUN
cana-4848	106	10	of	of	ADP
cana-4848	106	11	brain	brain	NOUN
cana-4848	106	12	tumors	tumor	NOUN
cana-4848	106	13	,	,	PUNCT
cana-4848	106	14	allowing	allow	VERB
cana-4848	106	15	for	for	ADP
cana-4848	106	16	earlier	early	ADJ
cana-4848	106	17	and	and	CCONJ
cana-4848	106	18	more	more	ADV
cana-4848	106	19	accurate	accurate	ADJ
cana-4848	106	20	tumor	tumor	NOUN
cana-4848	106	21	detection	detection	NOUN
cana-4848	106	22	,	,	PUNCT
cana-4848	106	23	which	which	PRON
cana-4848	106	24	is	be	AUX
cana-4848	106	25	essential	essential	ADJ
cana-4848	106	26	for	for	ADP
cana-4848	106	27	effective	effective	ADJ
cana-4848	106	28	treatment	treatment	NOUN
cana-4848	106	29	[	[	X
cana-4848	106	30	4	4	NUM
cana-4848	106	31	]	]	PUNCT
cana-4848	106	32	.	.	PUNCT
cana-4848	107	1	novsheena	novsheena	PROPN
cana-4848	107	2	rasool	rasool	PROPN
cana-4848	107	3	,	,	PUNCT
cana-4848	107	4	javaid	javaid	PROPN
cana-4848	107	5	iqbal	iqbal	PROPN
cana-4848	107	6	bhat	bhat	PROPN
cana-4848	107	7	uses	use	VERB
cana-4848	107	8	mri	mri	NOUN
cana-4848	107	9	images	image	NOUN
cana-4848	107	10	from	from	ADP
cana-4848	107	11	the	the	DET
cana-4848	107	12	various	various	ADJ
cana-4848	107	13	sources	source	NOUN
cana-4848	107	14	.	.	PUNCT
cana-4848	108	1	they	they	PRON
cana-4848	108	2	study	study	VERB
cana-4848	108	3	and	and	CCONJ
cana-4848	108	4	apply	apply	VERB
cana-4848	108	5	machine	machine	NOUN
cana-4848	108	6	learning	learning	NOUN
cana-4848	108	7	and	and	CCONJ
cana-4848	108	8	dl	dl	PROPN
cana-4848	108	9	algorithms	algorithm	NOUN
cana-4848	108	10	on	on	ADP
cana-4848	108	11	mri	mri	NOUN
cana-4848	108	12	dataset	dataset	NOUN
cana-4848	108	13	.	.	PUNCT
cana-4848	109	1	they	they	PRON
cana-4848	109	2	were	be	AUX
cana-4848	109	3	gradually	gradually	ADV
cana-4848	109	4	investigating	investigate	VERB
cana-4848	109	5	other	other	ADJ
cana-4848	109	6	cnn	cnn	PROPN
cana-4848	109	7	-	-	PUNCT
cana-4848	109	8	based	base	VERB
cana-4848	109	9	architectures	architecture	NOUN
cana-4848	109	10	,	,	PUNCT
cana-4848	109	11	such	such	ADJ
cana-4848	109	12	as	as	ADP
cana-4848	109	13	encoder	encoder	NOUN
cana-4848	109	14	-	-	PUNCT
cana-4848	109	15	decoder	decoder	NOUN
cana-4848	109	16	,	,	PUNCT
cana-4848	109	17	cascaded	cascade	VERB
cana-4848	109	18	,	,	PUNCT
cana-4848	109	19	ensemble	ensemble	ADJ
cana-4848	109	20	,	,	PUNCT
cana-4848	109	21	and	and	CCONJ
cana-4848	109	22	hybrid	hybrid	ADJ
cana-4848	109	23	models	model	NOUN
cana-4848	109	24	,	,	PUNCT
cana-4848	109	25	to	to	PART
cana-4848	109	26	address	address	VERB
cana-4848	109	27	the	the	DET
cana-4848	109	28	complicated	complicated	ADJ
cana-4848	109	29	issues	issue	NOUN
cana-4848	109	30	related	relate	VERB
cana-4848	109	31	to	to	ADP
cana-4848	109	32	brain	brain	NOUN
cana-4848	109	33	malignancies	malignancy	NOUN
cana-4848	109	34	[	[	X
cana-4848	109	35	5	5	NUM
cana-4848	109	36	]	]	PUNCT
cana-4848	109	37	.	.	PUNCT
cana-4848	110	1	k.	k.	PROPN
cana-4848	110	2	bhagyalaxmi	bhagyalaxmi	PROPN
cana-4848	110	3	,	,	PUNCT
cana-4848	110	4	b.	b.	PROPN
cana-4848	110	5	dwarakanath	dwarakanath	NOUN
cana-4848	110	6	,	,	PUNCT
cana-4848	110	7	and	and	CCONJ
cana-4848	110	8	others	other	NOUN
cana-4848	110	9	analyze	analyze	VERB
cana-4848	110	10	existing	exist	VERB
cana-4848	110	11	techniques	technique	NOUN
cana-4848	110	12	,	,	PUNCT
cana-4848	110	13	such	such	ADJ
cana-4848	110	14	as	as	ADP
cana-4848	110	15	feature	feature	NOUN
cana-4848	110	16	extraction	extraction	NOUN
cana-4848	110	17	with	with	ADP
cana-4848	110	18	and	and	CCONJ
cana-4848	110	19	without	without	ADP
cana-4848	110	20	optimization	optimization	NOUN
cana-4848	110	21	procedures	procedure	NOUN
cana-4848	110	22	.	.	PUNCT
cana-4848	111	1	furthermore	furthermore	ADV
cana-4848	111	2	reviewed	review	VERB
cana-4848	111	3	were	be	AUX
cana-4848	111	4	the	the	DET
cana-4848	111	5	classification	classification	NOUN
cana-4848	111	6	of	of	ADP
cana-4848	111	7	brain	brain	NOUN
cana-4848	111	8	cancers	cancer	NOUN
cana-4848	111	9	utilizing	utilize	VERB
cana-4848	111	10	correntropy	correntropy	NOUN
cana-4848	111	11	-	-	PUNCT
cana-4848	111	12	based	base	VERB
cana-4848	111	13	joint	joint	ADJ
cana-4848	111	14	learning	learning	NOUN
cana-4848	111	15	,	,	PUNCT
cana-4848	111	16	deep	deep	ADJ
cana-4848	111	17	transfer	transfer	NOUN
cana-4848	111	18	learning	learn	VERB
cana-4848	111	19	with	with	ADP
cana-4848	111	20	google	google	PROPN
cana-4848	111	21	-	-	PUNCT
cana-4848	111	22	lenet	lenet	NOUN
cana-4848	111	23	,	,	PUNCT
cana-4848	111	24	mask	mask	NOUN
cana-4848	111	25	-	-	PUNCT
cana-4848	111	26	rcnn	rcnn	PROPN
cana-4848	111	27	with	with	ADP
cana-4848	111	28	densenet-41	densenet-41	PROPN
cana-4848	111	29	,	,	PUNCT
cana-4848	111	30	ensemble	ensemble	ADJ
cana-4848	111	31	learning	learning	NOUN
cana-4848	111	32	,	,	PUNCT
cana-4848	111	33	extreme	extreme	ADJ
cana-4848	111	34	machine	machine	NOUN
cana-4848	111	35	learning	learning	NOUN
cana-4848	111	36	,	,	PUNCT
cana-4848	111	37	hybrid	hybrid	ADJ
cana-4848	111	38	cnn	cnn	PROPN
cana-4848	111	39	features	feature	VERB
cana-4848	111	40	with	with	ADP
cana-4848	111	41	svm	svm	PROPN
cana-4848	111	42	,	,	PUNCT
cana-4848	111	43	and	and	CCONJ
cana-4848	111	44	other	other	ADJ
cana-4848	111	45	dl	dl	PROPN
cana-4848	111	46	approaches	approach	NOUN
cana-4848	111	47	currently	currently	ADV
cana-4848	111	48	in	in	ADP
cana-4848	111	49	use	use	NOUN
cana-4848	111	50	[	[	X
cana-4848	111	51	6	6	NUM
cana-4848	111	52	]	]	PUNCT
cana-4848	111	53	.	.	PUNCT
cana-4848	112	1	praveen	praveen	PROPN
cana-4848	112	2	kumar	kumar	PROPN
cana-4848	112	3	ramtekkar	ramtekkar	PROPN
cana-4848	112	4	,	,	PUNCT
cana-4848	112	5	anjana	anjana	PROPN
cana-4848	112	6	pandey	pandey	PROPN
cana-4848	112	7	,	,	PUNCT
cana-4848	112	8	and	and	CCONJ
cana-4848	112	9	others	other	NOUN
cana-4848	112	10	preprocess	preprocess	VERB
cana-4848	112	11	the	the	DET
cana-4848	112	12	mri	mri	NOUN
cana-4848	112	13	scans	scan	NOUN
cana-4848	112	14	feature	feature	NOUN
cana-4848	112	15	extraction	extraction	NOUN
cana-4848	112	16	classification	classification	NOUN
cana-4848	112	17	result	result	NOUN
cana-4848	112	18	communications	communication	NOUN
cana-4848	112	19	on	on	ADP
cana-4848	112	20	applied	apply	VERB
cana-4848	112	21	nonlinear	nonlinear	ADJ
cana-4848	112	22	analysis	analysis	NOUN
cana-4848	112	23	issn	issn	NOUN
cana-4848	112	24	:	:	PUNCT
cana-4848	112	25	1074	1074	NUM
cana-4848	112	26	-	-	PUNCT
cana-4848	112	27	133x	133x	NUM
cana-4848	112	28	vol	vol	VERB
cana-4848	112	29	32	32	NUM
cana-4848	112	30	no	no	NOUN
cana-4848	112	31	.	.	PUNCT
cana-4848	112	32	10s	10	NOUN
cana-4848	112	33	(	(	PUNCT
cana-4848	112	34	2025	2025	NUM
cana-4848	112	35	)	)	PUNCT
cana-4848	112	36	586	586	NUM
cana-4848	112	37	https://internationalpubls.com	https://internationalpubls.com	X
cana-4848	112	38	using	use	VERB
cana-4848	112	39	a	a	DET
cana-4848	112	40	composite	composite	ADJ
cana-4848	112	41	filter	filter	NOUN
cana-4848	112	42	that	that	PRON
cana-4848	112	43	comprises	comprise	VERB
cana-4848	112	44	mean	mean	VERB
cana-4848	112	45	,	,	PUNCT
cana-4848	112	46	median	median	ADJ
cana-4848	112	47	,	,	PUNCT
cana-4848	112	48	and	and	CCONJ
cana-4848	112	49	gaussian	gaussian	ADJ
cana-4848	112	50	filters	filter	NOUN
cana-4848	112	51	.	.	PUNCT
cana-4848	113	1	images	image	NOUN
cana-4848	113	2	are	be	AUX
cana-4848	113	3	segmented	segment	VERB
cana-4848	113	4	using	use	VERB
cana-4848	113	5	threshold	threshold	NOUN
cana-4848	113	6	and	and	CCONJ
cana-4848	113	7	histogram	histogram	NOUN
cana-4848	113	8	techniques	technique	NOUN
cana-4848	113	9	.	.	PUNCT
cana-4848	114	1	the	the	DET
cana-4848	114	2	glcm	glcm	PROPN
cana-4848	114	3	is	be	AUX
cana-4848	114	4	used	use	VERB
cana-4848	114	5	to	to	PART
cana-4848	114	6	extract	extract	VERB
cana-4848	114	7	features	feature	NOUN
cana-4848	114	8	.	.	PUNCT
cana-4848	115	1	to	to	PART
cana-4848	115	2	select	select	VERB
cana-4848	115	3	the	the	DET
cana-4848	115	4	best	good	ADJ
cana-4848	115	5	features	feature	NOUN
cana-4848	115	6	,	,	PUNCT
cana-4848	115	7	the	the	DET
cana-4848	115	8	optimized	optimize	VERB
cana-4848	115	9	convolution	convolution	NOUN
cana-4848	115	10	neural	neural	ADJ
cana-4848	115	11	network	network	NOUN
cana-4848	115	12	(	(	PUNCT
cana-4848	115	13	cnn	cnn	PROPN
cana-4848	115	14	)	)	PUNCT
cana-4848	115	15	approach	approach	NOUN
cana-4848	115	16	employs	employ	VERB
cana-4848	115	17	whale	whale	NOUN
cana-4848	115	18	optimization	optimization	NOUN
cana-4848	115	19	and	and	CCONJ
cana-4848	115	20	grey	grey	ADJ
cana-4848	115	21	wolf	wolf	PROPN
cana-4848	115	22	optimization	optimization	NOUN
cana-4848	115	23	.	.	PUNCT
cana-4848	116	1	brain	brain	NOUN
cana-4848	116	2	cancer	cancer	NOUN
cana-4848	116	3	is	be	AUX
cana-4848	116	4	detected	detect	VERB
cana-4848	116	5	using	use	VERB
cana-4848	116	6	the	the	DET
cana-4848	116	7	cnn	cnn	PROPN
cana-4848	116	8	classifier	classifier	NOUN
cana-4848	116	9	.	.	PUNCT
cana-4848	117	1	the	the	DET
cana-4848	117	2	accuracy	accuracy	NOUN
cana-4848	117	3	of	of	ADP
cana-4848	117	4	this	this	DET
cana-4848	117	5	improved	improve	VERB
cana-4848	117	6	approach	approach	NOUN
cana-4848	117	7	in	in	ADP
cana-4848	117	8	identifying	identify	VERB
cana-4848	117	9	brain	brain	NOUN
cana-4848	117	10	tumors	tumor	NOUN
cana-4848	117	11	has	have	AUX
cana-4848	117	12	been	be	AUX
cana-4848	117	13	evaluated	evaluate	VERB
cana-4848	117	14	at	at	ADP
cana-4848	117	15	98.9	98.9	NUM
cana-4848	117	16	%	%	NOUN
cana-4848	117	17	[	[	X
cana-4848	117	18	7	7	NUM
cana-4848	117	19	]	]	PUNCT
cana-4848	117	20	.	.	PUNCT
cana-4848	118	1	studies	study	NOUN
cana-4848	118	2	on	on	ADP
cana-4848	118	3	the	the	DET
cana-4848	118	4	classification	classification	NOUN
cana-4848	118	5	of	of	ADP
cana-4848	118	6	three	three	NUM
cana-4848	118	7	and	and	CCONJ
cana-4848	118	8	four	four	NUM
cana-4848	118	9	distinct	distinct	ADJ
cana-4848	118	10	types	type	NOUN
cana-4848	118	11	of	of	ADP
cana-4848	118	12	patients	patient	NOUN
cana-4848	118	13	with	with	ADP
cana-4848	118	14	brain	brain	NOUN
cana-4848	118	15	tumors	tumor	NOUN
cana-4848	118	16	are	be	AUX
cana-4848	118	17	conducted	conduct	VERB
cana-4848	118	18	by	by	ADP
cana-4848	118	19	sohaib	sohaib	PROPN
cana-4848	118	20	asif	asif	PROPN
cana-4848	118	21	,	,	PUNCT
cana-4848	118	22	ming	ming	PROPN
cana-4848	118	23	zhao	zhao	PROPN
cana-4848	118	24	,	,	PUNCT
cana-4848	118	25	and	and	CCONJ
cana-4848	118	26	others	other	NOUN
cana-4848	118	27	;	;	PUNCT
cana-4848	118	28	all	all	DET
cana-4848	118	29	images	image	NOUN
cana-4848	118	30	were	be	AUX
cana-4848	118	31	enhanced	enhance	VERB
cana-4848	118	32	during	during	ADP
cana-4848	118	33	the	the	DET
cana-4848	118	34	pre	pre	ADJ
cana-4848	118	35	-	-	ADJ
cana-4848	118	36	processing	processing	ADJ
cana-4848	118	37	stage	stage	NOUN
cana-4848	118	38	using	use	VERB
cana-4848	118	39	image	image	NOUN
cana-4848	118	40	processing	processing	NOUN
cana-4848	118	41	techniques	technique	NOUN
cana-4848	118	42	.	.	PUNCT
cana-4848	119	1	to	to	PART
cana-4848	119	2	enhance	enhance	VERB
cana-4848	119	3	classification	classification	NOUN
cana-4848	119	4	performance	performance	NOUN
cana-4848	119	5	,	,	PUNCT
cana-4848	119	6	our	our	PRON
cana-4848	119	7	deep	deep	ADJ
cana-4848	119	8	dense	dense	ADJ
cana-4848	119	9	block	block	NOUN
cana-4848	119	10	and	and	CCONJ
cana-4848	119	11	softmax	softmax	NOUN
cana-4848	119	12	layer	layer	NOUN
cana-4848	119	13	were	be	AUX
cana-4848	119	14	added	add	VERB
cana-4848	119	15	to	to	ADP
cana-4848	119	16	the	the	DET
cana-4848	119	17	previous	previous	ADJ
cana-4848	119	18	designs	design	NOUN
cana-4848	119	19	.	.	PUNCT
cana-4848	120	1	on	on	ADP
cana-4848	120	2	the	the	DET
cana-4848	120	3	3	3	NUM
cana-4848	120	4	-	-	PUNCT
cana-4848	120	5	class	class	NOUN
cana-4848	120	6	and	and	CCONJ
cana-4848	120	7	4	4	NUM
cana-4848	120	8	-	-	PUNCT
cana-4848	120	9	class	class	NOUN
cana-4848	120	10	datasets	dataset	NOUN
cana-4848	120	11	,	,	PUNCT
cana-4848	120	12	the	the	DET
cana-4848	120	13	suggested	suggest	VERB
cana-4848	120	14	model	model	NOUN
cana-4848	120	15	's	's	PART
cana-4848	120	16	overall	overall	ADJ
cana-4848	120	17	classification	classification	NOUN
cana-4848	120	18	accuracy	accuracy	NOUN
cana-4848	120	19	is	be	AUX
cana-4848	120	20	99.67	99.67	NUM
cana-4848	120	21	%	%	NOUN
cana-4848	120	22	and	and	CCONJ
cana-4848	120	23	95.87	95.87	NUM
cana-4848	120	24	%	%	NOUN
cana-4848	120	25	,	,	PUNCT
cana-4848	120	26	respectively	respectively	ADV
cana-4848	120	27	[	[	X
cana-4848	120	28	8	8	NUM
cana-4848	120	29	]	]	PUNCT
cana-4848	120	30	.	.	PUNCT
cana-4848	121	1	cnn	cnn	PROPN
cana-4848	121	2	and	and	CCONJ
cana-4848	121	3	other	other	ADJ
cana-4848	121	4	dl	dl	PROPN
cana-4848	121	5	models	model	NOUN
cana-4848	121	6	are	be	AUX
cana-4848	121	7	used	use	VERB
cana-4848	121	8	by	by	ADP
cana-4848	121	9	mohammed	mohammed	PROPN
cana-4848	121	10	h.	h.	PROPN
cana-4848	121	11	and	and	CCONJ
cana-4848	121	12	others	other	NOUN
cana-4848	121	13	to	to	PART
cana-4848	121	14	obtain	obtain	VERB
cana-4848	121	15	precise	precise	ADJ
cana-4848	121	16	results	result	NOUN
cana-4848	121	17	.	.	PUNCT
cana-4848	122	1	the	the	DET
cana-4848	122	2	model	model	NOUN
cana-4848	122	3	performs	perform	VERB
cana-4848	122	4	better	well	ADV
cana-4848	122	5	overall	overall	ADV
cana-4848	122	6	as	as	SCONJ
cana-4848	122	7	the	the	DET
cana-4848	122	8	dataset	dataset	NOUN
cana-4848	122	9	size	size	NOUN
cana-4848	122	10	is	be	AUX
cana-4848	122	11	increased	increase	VERB
cana-4848	122	12	since	since	SCONJ
cana-4848	122	13	it	it	PRON
cana-4848	122	14	increases	increase	VERB
cana-4848	122	15	accuracy	accuracy	NOUN
cana-4848	122	16	and	and	CCONJ
cana-4848	122	17	generalizes	generalize	VERB
cana-4848	122	18	the	the	DET
cana-4848	122	19	model	model	NOUN
cana-4848	122	20	.	.	PUNCT
cana-4848	123	1	higher	high	ADJ
cana-4848	123	2	accuracy	accuracy	NOUN
cana-4848	123	3	is	be	AUX
cana-4848	123	4	achieved	achieve	VERB
cana-4848	123	5	by	by	ADP
cana-4848	123	6	increasing	increase	VERB
cana-4848	123	7	the	the	DET
cana-4848	123	8	number	number	NOUN
cana-4848	123	9	of	of	ADP
cana-4848	123	10	training	training	NOUN
cana-4848	123	11	epochs	epoch	NOUN
cana-4848	123	12	.	.	PUNCT
cana-4848	124	1	along	along	ADP
cana-4848	124	2	with	with	ADP
cana-4848	124	3	high	high	ADJ
cana-4848	124	4	values	value	NOUN
cana-4848	124	5	in	in	ADP
cana-4848	124	6	other	other	ADJ
cana-4848	124	7	metrics	metric	NOUN
cana-4848	124	8	,	,	PUNCT
cana-4848	124	9	a	a	DET
cana-4848	124	10	high	high	ADJ
cana-4848	124	11	accuracy	accuracy	NOUN
cana-4848	124	12	was	be	AUX
cana-4848	124	13	achieved	achieve	VERB
cana-4848	124	14	by	by	ADP
cana-4848	124	15	using	use	VERB
cana-4848	124	16	60	60	NUM
cana-4848	124	17	epochs	epoch	NOUN
cana-4848	124	18	.	.	PUNCT
cana-4848	125	1	the	the	DET
cana-4848	125	2	results	result	NOUN
cana-4848	125	3	of	of	ADP
cana-4848	125	4	the	the	DET
cana-4848	125	5	experiment	experiment	NOUN
cana-4848	125	6	showed	show	VERB
cana-4848	125	7	that	that	SCONJ
cana-4848	125	8	4976	4976	NUM
cana-4848	125	9	samples	sample	NOUN
cana-4848	125	10	were	be	AUX
cana-4848	125	11	used	use	VERB
cana-4848	125	12	to	to	PART
cana-4848	125	13	reach	reach	VERB
cana-4848	125	14	an	an	DET
cana-4848	125	15	accuracy	accuracy	NOUN
cana-4848	125	16	of	of	ADP
cana-4848	125	17	97.4	97.4	NUM
cana-4848	125	18	%	%	NOUN
cana-4848	126	1	[	[	X
cana-4848	126	2	9	9	NUM
cana-4848	126	3	]	]	PUNCT
cana-4848	126	4	.	.	PUNCT
cana-4848	127	1	kamini	kamini	PROPN
cana-4848	127	2	lamba	lamba	PROPN
cana-4848	127	3	,	,	PUNCT
cana-4848	127	4	shalli	shalli	NOUN
cana-4848	127	5	rani	rani	NOUN
cana-4848	127	6	,	,	PUNCT
cana-4848	127	7	and	and	CCONJ
cana-4848	127	8	colleagues	colleague	NOUN
cana-4848	127	9	create	create	VERB
cana-4848	127	10	an	an	DET
cana-4848	127	11	automated	automate	VERB
cana-4848	127	12	method	method	NOUN
cana-4848	127	13	to	to	PART
cana-4848	127	14	detect	detect	VERB
cana-4848	127	15	brain	brain	NOUN
cana-4848	127	16	tumors	tumor	NOUN
cana-4848	127	17	using	use	VERB
cana-4848	127	18	publicly	publicly	ADV
cana-4848	127	19	accessible	accessible	ADJ
cana-4848	127	20	brain	brain	NOUN
cana-4848	127	21	mri	mri	NOUN
cana-4848	127	22	datasets	dataset	NOUN
cana-4848	127	23	.	.	PUNCT
cana-4848	128	1	the	the	DET
cana-4848	128	2	suggested	suggest	VERB
cana-4848	128	3	technique	technique	NOUN
cana-4848	128	4	increases	increase	VERB
cana-4848	128	5	the	the	DET
cana-4848	128	6	image	image	NOUN
cana-4848	128	7	sizes	size	NOUN
cana-4848	128	8	while	while	SCONJ
cana-4848	128	9	preserving	preserve	VERB
cana-4848	128	10	uniformity	uniformity	NOUN
cana-4848	128	11	by	by	ADP
cana-4848	128	12	using	use	VERB
cana-4848	128	13	data	datum	NOUN
cana-4848	128	14	augmentation	augmentation	NOUN
cana-4848	128	15	.	.	PUNCT
cana-4848	129	1	after	after	ADP
cana-4848	129	2	transfer	transfer	NOUN
cana-4848	129	3	learning	learning	NOUN
cana-4848	129	4	,	,	PUNCT
cana-4848	129	5	they	they	PRON
cana-4848	129	6	employ	employ	VERB
cana-4848	129	7	a	a	DET
cana-4848	129	8	16	16	NUM
cana-4848	129	9	-	-	PUNCT
cana-4848	129	10	layer	layer	NOUN
cana-4848	129	11	visual	visual	ADJ
cana-4848	129	12	geometry	geometry	NOUN
cana-4848	129	13	group	group	NOUN
cana-4848	129	14	to	to	PART
cana-4848	129	15	reduce	reduce	VERB
cana-4848	129	16	the	the	DET
cana-4848	129	17	amount	amount	NOUN
cana-4848	129	18	of	of	ADP
cana-4848	129	19	work	work	NOUN
cana-4848	129	20	needed	need	VERB
cana-4848	129	21	by	by	ADP
cana-4848	129	22	medical	medical	ADJ
cana-4848	129	23	professionals	professional	NOUN
cana-4848	129	24	to	to	PART
cana-4848	129	25	obtain	obtain	VERB
cana-4848	129	26	precise	precise	ADJ
cana-4848	129	27	results	result	NOUN
cana-4848	129	28	.	.	PUNCT
cana-4848	130	1	they	they	PRON
cana-4848	130	2	use	use	VERB
cana-4848	130	3	supervised	supervised	ADJ
cana-4848	130	4	learning	learning	NOUN
cana-4848	130	5	and	and	CCONJ
cana-4848	130	6	linear	linear	VERB
cana-4848	130	7	support	support	NOUN
cana-4848	130	8	vector	vector	NOUN
cana-4848	130	9	machines	machine	NOUN
cana-4848	130	10	(	(	PUNCT
cana-4848	130	11	svm	svm	PROPN
cana-4848	130	12	)	)	PUNCT
cana-4848	130	13	to	to	PART
cana-4848	130	14	extract	extract	VERB
cana-4848	130	15	the	the	DET
cana-4848	130	16	most	most	ADV
cana-4848	130	17	important	important	ADJ
cana-4848	130	18	information	information	NOUN
cana-4848	130	19	and	and	CCONJ
cana-4848	130	20	increase	increase	VERB
cana-4848	130	21	the	the	DET
cana-4848	130	22	speed	speed	NOUN
cana-4848	130	23	and	and	CCONJ
cana-4848	130	24	accuracy	accuracy	NOUN
cana-4848	130	25	of	of	ADP
cana-4848	130	26	diagnosis	diagnosis	NOUN
cana-4848	130	27	.	.	PUNCT
cana-4848	131	1	with	with	ADP
cana-4848	131	2	98.87	98.87	NUM
cana-4848	131	3	%	%	NOUN
cana-4848	131	4	accuracy	accuracy	NOUN
cana-4848	131	5	,	,	PUNCT
cana-4848	131	6	99.09	99.09	NUM
cana-4848	131	7	%	%	NOUN
cana-4848	131	8	precision	precision	NOUN
cana-4848	131	9	,	,	PUNCT
cana-4848	131	10	98.73	98.73	NUM
cana-4848	131	11	%	%	NOUN
cana-4848	131	12	recall	recall	NOUN
cana-4848	131	13	,	,	PUNCT
cana-4848	131	14	99.02	99.02	NUM
cana-4848	131	15	%	%	NOUN
cana-4848	131	16	specificity	specificity	NOUN
cana-4848	131	17	,	,	PUNCT
cana-4848	131	18	and	and	CCONJ
cana-4848	131	19	98.91	98.91	NUM
cana-4848	131	20	%	%	NOUN
cana-4848	131	21	f1	f1	NOUN
cana-4848	131	22	-	-	PUNCT
cana-4848	131	23	score	score	NOUN
cana-4848	131	24	,	,	PUNCT
cana-4848	131	25	the	the	DET
cana-4848	131	26	suggested	suggest	VERB
cana-4848	131	27	model	model	NOUN
cana-4848	131	28	performs	perform	VERB
cana-4848	131	29	better	well	ADJ
cana-4848	131	30	than	than	ADP
cana-4848	131	31	the	the	DET
cana-4848	131	32	competition	competition	NOUN
cana-4848	131	33	[	[	X
cana-4848	131	34	10	10	NUM
cana-4848	131	35	]	]	PUNCT
cana-4848	131	36	.	.	PUNCT
cana-4848	132	1	brainnet	brainnet	NOUN
cana-4848	132	2	is	be	AUX
cana-4848	132	3	introduced	introduce	VERB
cana-4848	132	4	by	by	ADP
cana-4848	132	5	tripty	tripty	ADJ
cana-4848	132	6	singh	singh	PROPN
cana-4848	132	7	,	,	PUNCT
cana-4848	132	8	rekha	rekha	PROPN
cana-4848	132	9	r.	r.	PROPN
cana-4848	132	10	nair	nair	PROPN
cana-4848	132	11	,	,	PUNCT
cana-4848	132	12	and	and	CCONJ
cana-4848	132	13	others	other	NOUN
cana-4848	132	14	.	.	PUNCT
cana-4848	133	1	the	the	DET
cana-4848	133	2	cnn	cnn	PROPN
cana-4848	133	3	architecture	architecture	NOUN
cana-4848	133	4	was	be	AUX
cana-4848	133	5	created	create	VERB
cana-4848	133	6	to	to	PART
cana-4848	133	7	classify	classify	VERB
cana-4848	133	8	brain	brain	NOUN
cana-4848	133	9	tumors	tumor	NOUN
cana-4848	133	10	into	into	ADP
cana-4848	133	11	different	different	ADJ
cana-4848	133	12	groups	group	NOUN
cana-4848	133	13	.	.	PUNCT
cana-4848	134	1	outstanding	outstanding	ADJ
cana-4848	134	2	results	result	NOUN
cana-4848	134	3	were	be	AUX
cana-4848	134	4	obtained	obtain	VERB
cana-4848	134	5	in	in	ADP
cana-4848	134	6	the	the	DET
cana-4848	134	7	classification	classification	NOUN
cana-4848	134	8	of	of	ADP
cana-4848	134	9	brain	brain	NOUN
cana-4848	134	10	cancers	cancer	NOUN
cana-4848	134	11	using	use	VERB
cana-4848	134	12	the	the	DET
cana-4848	134	13	brainnet	brainnet	NOUN
cana-4848	134	14	cnn	cnn	PROPN
cana-4848	134	15	architecture	architecture	NOUN
cana-4848	134	16	.	.	PUNCT
cana-4848	135	1	its	its	PRON
cana-4848	135	2	testing	testing	NOUN
cana-4848	135	3	accuracy	accuracy	NOUN
cana-4848	135	4	was	be	AUX
cana-4848	135	5	97.71	97.71	NUM
cana-4848	135	6	%	%	NOUN
cana-4848	135	7	and	and	CCONJ
cana-4848	135	8	its	its	PRON
cana-4848	135	9	training	training	NOUN
cana-4848	135	10	accuracy	accuracy	NOUN
cana-4848	135	11	was	be	AUX
cana-4848	135	12	an	an	DET
cana-4848	135	13	impressive	impressive	ADJ
cana-4848	135	14	99.96	99.96	NUM
cana-4848	135	15	%	%	NOUN
cana-4848	135	16	.	.	PUNCT
cana-4848	136	1	the	the	DET
cana-4848	136	2	usefulness	usefulness	NOUN
cana-4848	136	3	of	of	ADP
cana-4848	136	4	the	the	DET
cana-4848	136	5	suggested	suggest	VERB
cana-4848	136	6	architecture	architecture	NOUN
cana-4848	136	7	in	in	ADP
cana-4848	136	8	this	this	DET
cana-4848	136	9	field	field	NOUN
cana-4848	136	10	is	be	AUX
cana-4848	136	11	demonstrated	demonstrate	VERB
cana-4848	136	12	by	by	ADP
cana-4848	136	13	the	the	DET
cana-4848	136	14	fact	fact	NOUN
cana-4848	136	15	that	that	SCONJ
cana-4848	136	16	this	this	DET
cana-4848	136	17	performance	performance	NOUN
cana-4848	136	18	is	be	AUX
cana-4848	136	19	noticeably	noticeably	ADV
cana-4848	136	20	better	well	ADJ
cana-4848	136	21	than	than	ADP
cana-4848	136	22	that	that	PRON
cana-4848	136	23	of	of	ADP
cana-4848	136	24	well	well	ADV
cana-4848	136	25	-	-	PUNCT
cana-4848	136	26	known	know	VERB
cana-4848	136	27	pre	pre	ADJ
cana-4848	136	28	-	-	ADJ
cana-4848	136	29	trained	train	VERB
cana-4848	136	30	models	model	NOUN
cana-4848	136	31	.	.	PUNCT
cana-4848	137	1	five	five	NUM
cana-4848	137	2	popular	popular	ADJ
cana-4848	137	3	pre	pre	ADJ
cana-4848	137	4	-	-	ADJ
cana-4848	137	5	trained	train	VERB
cana-4848	137	6	architectures	architecture	NOUN
cana-4848	137	7	—	—	PUNCT
cana-4848	137	8	vgg19	vgg19	PROPN
cana-4848	137	9	,	,	PUNCT
cana-4848	137	10	vgg16	vgg16	PROPN
cana-4848	137	11	,	,	PUNCT
cana-4848	137	12	vgg13	vgg13	PROPN
cana-4848	137	13	,	,	PUNCT
cana-4848	137	14	resnetv2	resnetv2	NOUN
cana-4848	137	15	,	,	PUNCT
cana-4848	137	16	and	and	CCONJ
cana-4848	137	17	inception	inception	NOUN
cana-4848	137	18	—	—	PUNCT
cana-4848	137	19	were	be	AUX
cana-4848	137	20	used	use	VERB
cana-4848	137	21	to	to	PART
cana-4848	137	22	compare	compare	VERB
cana-4848	137	23	brainnet	brainnet	NOUN
cana-4848	137	24	.	.	PUNCT
cana-4848	138	1	the	the	DET
cana-4848	138	2	outcomes	outcome	NOUN
cana-4848	138	3	demonstrated	demonstrate	VERB
cana-4848	138	4	that	that	SCONJ
cana-4848	138	5	brainnet	brainnet	NOUN
cana-4848	138	6	performed	perform	VERB
cana-4848	138	7	better	well	ADV
cana-4848	138	8	than	than	ADP
cana-4848	138	9	these	these	DET
cana-4848	138	10	models	model	NOUN
cana-4848	138	11	,	,	PUNCT
cana-4848	138	12	confirming	confirm	VERB
cana-4848	138	13	its	its	PRON
cana-4848	138	14	architecture	architecture	NOUN
cana-4848	138	15	and	and	CCONJ
cana-4848	138	16	efficacy	efficacy	NOUN
cana-4848	138	17	in	in	ADP
cana-4848	138	18	tasks	task	NOUN
cana-4848	138	19	involving	involve	VERB
cana-4848	138	20	the	the	DET
cana-4848	138	21	categorization	categorization	NOUN
cana-4848	138	22	of	of	ADP
cana-4848	138	23	brain	brain	NOUN
cana-4848	138	24	tumors	tumor	NOUN
cana-4848	138	25	[	[	X
cana-4848	138	26	14	14	NUM
cana-4848	138	27	]	]	PUNCT
cana-4848	138	28	.	.	PUNCT
cana-4848	139	1	using	use	VERB
cana-4848	139	2	mri	mri	NOUN
cana-4848	139	3	data	datum	NOUN
cana-4848	139	4	,	,	PUNCT
cana-4848	139	5	t.	t.	PROPN
cana-4848	139	6	lakshmi	lakshmi	PROPN
cana-4848	139	7	prasanthi	prasanthi	VERB
cana-4848	139	8	and	and	CCONJ
cana-4848	139	9	n.	n.	PROPN
cana-4848	139	10	neelima	neelima	PROPN
cana-4848	139	11	report	report	VERB
cana-4848	139	12	a	a	DET
cana-4848	139	13	number	number	NOUN
cana-4848	139	14	of	of	ADP
cana-4848	139	15	important	important	ADJ
cana-4848	139	16	findings	finding	NOUN
cana-4848	139	17	about	about	ADP
cana-4848	139	18	how	how	SCONJ
cana-4848	139	19	well	well	ADV
cana-4848	139	20	various	various	ADJ
cana-4848	139	21	dlmodels	dlmodel	NOUN
cana-4848	139	22	perform	perform	VERB
cana-4848	139	23	in	in	ADP
cana-4848	139	24	the	the	DET
cana-4848	139	25	classification	classification	NOUN
cana-4848	139	26	of	of	ADP
cana-4848	139	27	brain	brain	NOUN
cana-4848	139	28	cancers	cancer	NOUN
cana-4848	139	29	.	.	PUNCT
cana-4848	140	1	a	a	DET
cana-4848	140	2	precision	precision	NOUN
cana-4848	140	3	of	of	ADP
cana-4848	140	4	96.63	96.63	NUM
cana-4848	140	5	%	%	NOUN
cana-4848	140	6	was	be	AUX
cana-4848	140	7	attained	attain	VERB
cana-4848	140	8	using	use	VERB
cana-4848	140	9	the	the	DET
cana-4848	140	10	novel	novel	ADJ
cana-4848	140	11	cnn	cnn	PROPN
cana-4848	140	12	method	method	NOUN
cana-4848	140	13	created	create	VERB
cana-4848	140	14	in	in	ADP
cana-4848	140	15	the	the	DET
cana-4848	140	16	study	study	NOUN
cana-4848	140	17	.	.	PUNCT
cana-4848	141	1	this	this	PRON
cana-4848	141	2	suggests	suggest	VERB
cana-4848	141	3	that	that	SCONJ
cana-4848	141	4	brain	brain	NOUN
cana-4848	141	5	cancers	cancer	NOUN
cana-4848	141	6	can	can	AUX
cana-4848	141	7	be	be	AUX
cana-4848	141	8	diagnosed	diagnose	VERB
cana-4848	141	9	with	with	ADP
cana-4848	141	10	great	great	ADJ
cana-4848	141	11	accuracy	accuracy	NOUN
cana-4848	141	12	.	.	PUNCT
cana-4848	142	1	glioma	glioma	NOUN
cana-4848	142	2	tumor	tumor	NOUN
cana-4848	142	3	detection	detection	NOUN
cana-4848	142	4	was	be	AUX
cana-4848	142	5	a	a	DET
cana-4848	142	6	strong	strong	ADJ
cana-4848	142	7	suit	suit	NOUN
cana-4848	142	8	for	for	ADP
cana-4848	142	9	vgg19	vgg19	PROPN
cana-4848	142	10	and	and	CCONJ
cana-4848	142	11	inceptionresnetv2	inceptionresnetv2	PROPN
cana-4848	142	12	.	.	PUNCT
cana-4848	143	1	other	other	ADJ
cana-4848	143	2	models	model	NOUN
cana-4848	143	3	,	,	PUNCT
cana-4848	143	4	such	such	ADJ
cana-4848	143	5	as	as	ADP
cana-4848	143	6	densenet121	densenet121	PROPN
cana-4848	143	7	and	and	CCONJ
cana-4848	143	8	efficientnet	efficientnet	PROPN
cana-4848	143	9	b7	b7	PROPN
cana-4848	143	10	,	,	PUNCT
cana-4848	143	11	also	also	ADV
cana-4848	143	12	shown	show	VERB
cana-4848	143	13	encouraging	encouraging	ADJ
cana-4848	143	14	precision	precision	NOUN
cana-4848	143	15	rates	rate	NOUN
cana-4848	143	16	,	,	PUNCT
cana-4848	143	17	which	which	PRON
cana-4848	143	18	made	make	VERB
cana-4848	143	19	them	they	PRON
cana-4848	143	20	suitable	suitable	ADJ
cana-4848	143	21	choices	choice	NOUN
cana-4848	143	22	for	for	ADP
cana-4848	143	23	the	the	DET
cana-4848	143	24	classification	classification	NOUN
cana-4848	143	25	of	of	ADP
cana-4848	143	26	brain	brain	NOUN
cana-4848	143	27	tumors	tumor	NOUN
cana-4848	144	1	[	[	X
cana-4848	144	2	15	15	NUM
cana-4848	144	3	]	]	PUNCT
cana-4848	144	4	.	.	PUNCT
cana-4848	145	1	monika	monika	PROPN
cana-4848	145	2	sachdeva	sachdeva	PROPN
cana-4848	145	3	,	,	PUNCT
cana-4848	145	4	chandni	chandni	PROPN
cana-4848	145	5	,	,	PUNCT
cana-4848	145	6	and	and	CCONJ
cana-4848	145	7	others	other	NOUN
cana-4848	145	8	in	in	ADP
cana-4848	145	9	contrast	contrast	NOUN
cana-4848	145	10	to	to	ADP
cana-4848	145	11	conventional	conventional	ADJ
cana-4848	145	12	techniques	technique	NOUN
cana-4848	145	13	,	,	PUNCT
cana-4848	145	14	the	the	DET
cana-4848	145	15	study	study	NOUN
cana-4848	145	16	suggests	suggest	VERB
cana-4848	145	17	a	a	DET
cana-4848	145	18	fully	fully	ADV
cana-4848	145	19	automated	automate	VERB
cana-4848	145	20	dlmodel	dlmodel	NOUN
cana-4848	145	21	created	create	VERB
cana-4848	145	22	especially	especially	ADV
cana-4848	145	23	for	for	ADP
cana-4848	145	24	the	the	DET
cana-4848	145	25	diagnosis	diagnosis	NOUN
cana-4848	145	26	of	of	ADP
cana-4848	145	27	brain	brain	NOUN
cana-4848	145	28	tumors	tumor	NOUN
cana-4848	145	29	,	,	PUNCT
cana-4848	145	30	which	which	PRON
cana-4848	145	31	improves	improve	VERB
cana-4848	145	32	tumor	tumor	NOUN
cana-4848	145	33	detection	detection	NOUN
cana-4848	145	34	efficiency	efficiency	NOUN
cana-4848	145	35	and	and	CCONJ
cana-4848	145	36	accuracy	accuracy	NOUN
cana-4848	145	37	.	.	PUNCT
cana-4848	146	1	the	the	DET
cana-4848	146	2	suggested	suggest	VERB
cana-4848	146	3	model	model	NOUN
cana-4848	146	4	effectively	effectively	ADV
cana-4848	146	5	extracts	extract	VERB
cana-4848	146	6	features	feature	NOUN
cana-4848	146	7	and	and	CCONJ
cana-4848	146	8	classifies	classify	VERB
cana-4848	146	9	medical	medical	ADJ
cana-4848	146	10	images	image	NOUN
cana-4848	146	11	by	by	ADP
cana-4848	146	12	combining	combine	VERB
cana-4848	146	13	the	the	DET
cana-4848	146	14	benefits	benefit	NOUN
cana-4848	146	15	of	of	ADP
cana-4848	146	16	residual	residual	ADJ
cana-4848	146	17	connections	connection	NOUN
cana-4848	146	18	and	and	CCONJ
cana-4848	146	19	inception	inception	NOUN
cana-4848	146	20	modules	module	NOUN
cana-4848	146	21	.	.	PUNCT
cana-4848	147	1	using	use	VERB
cana-4848	147	2	two	two	NUM
cana-4848	147	3	communications	communication	NOUN
cana-4848	147	4	on	on	ADP
cana-4848	147	5	applied	apply	VERB
cana-4848	147	6	nonlinear	nonlinear	ADJ
cana-4848	147	7	analysis	analysis	NOUN
cana-4848	147	8	issn	issn	NOUN
cana-4848	147	9	:	:	PUNCT
cana-4848	147	10	1074	1074	NUM
cana-4848	147	11	-	-	PUNCT
cana-4848	147	12	133x	133x	NUM
cana-4848	147	13	vol	vol	VERB
cana-4848	147	14	32	32	NUM
cana-4848	147	15	no	no	NOUN
cana-4848	147	16	.	.	PUNCT
cana-4848	148	1	10s	10	NOUN
cana-4848	148	2	(	(	PUNCT
cana-4848	148	3	2025	2025	NUM
cana-4848	148	4	)	)	PUNCT
cana-4848	148	5	587	587	NUM
cana-4848	148	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4848	148	7	publicly	publicly	ADV
cana-4848	148	8	available	available	ADJ
cana-4848	148	9	datasets	dataset	NOUN
cana-4848	148	10	with	with	ADP
cana-4848	148	11	4600	4600	NUM
cana-4848	148	12	and	and	CCONJ
cana-4848	148	13	253	253	NUM
cana-4848	148	14	brain	brain	NOUN
cana-4848	148	15	pictures	picture	NOUN
cana-4848	148	16	,	,	PUNCT
cana-4848	148	17	the	the	DET
cana-4848	148	18	experimental	experimental	ADJ
cana-4848	148	19	evaluations	evaluation	NOUN
cana-4848	148	20	show	show	VERB
cana-4848	148	21	that	that	SCONJ
cana-4848	148	22	the	the	DET
cana-4848	148	23	suggested	suggest	VERB
cana-4848	148	24	architecture	architecture	NOUN
cana-4848	148	25	achieves	achieve	VERB
cana-4848	148	26	an	an	DET
cana-4848	148	27	overall	overall	ADJ
cana-4848	148	28	classification	classification	NOUN
cana-4848	148	29	accuracy	accuracy	NOUN
cana-4848	148	30	of	of	ADP
cana-4848	148	31	above	above	ADP
cana-4848	148	32	99	99	NUM
cana-4848	148	33	%	%	NOUN
cana-4848	148	34	.	.	PUNCT
cana-4848	149	1	this	this	DET
cana-4848	149	2	performance	performance	NOUN
cana-4848	149	3	shows	show	VERB
cana-4848	149	4	a	a	DET
cana-4848	149	5	significant	significant	ADJ
cana-4848	149	6	advance	advance	NOUN
cana-4848	149	7	in	in	ADP
cana-4848	149	8	diagnostic	diagnostic	ADJ
cana-4848	149	9	capabilities	capability	NOUN
cana-4848	149	10	,	,	PUNCT
cana-4848	149	11	surpassing	surpass	VERB
cana-4848	149	12	that	that	PRON
cana-4848	149	13	of	of	ADP
cana-4848	149	14	earlier	early	ADJ
cana-4848	149	15	investigations	investigation	NOUN
cana-4848	149	16	[	[	X
cana-4848	149	17	17	17	NUM
cana-4848	149	18	]	]	PUNCT
cana-4848	149	19	.	.	PUNCT
cana-4848	150	1	amita	amita	PROPN
cana-4848	150	2	nandal	nandal	PROPN
cana-4848	150	3	,	,	PUNCT
cana-4848	150	4	shyo	shyo	PROPN
cana-4848	150	5	prakash	prakash	PROPN
cana-4848	150	6	jakhar	jakhar	PROPN
cana-4848	150	7	,	,	PUNCT
cana-4848	150	8	and	and	CCONJ
cana-4848	150	9	others	other	NOUN
cana-4848	150	10	this	this	DET
cana-4848	150	11	research	research	NOUN
cana-4848	150	12	proposes	propose	VERB
cana-4848	150	13	a	a	DET
cana-4848	150	14	novel	novel	ADJ
cana-4848	150	15	network	network	NOUN
cana-4848	150	16	topology	topology	NOUN
cana-4848	150	17	called	call	VERB
cana-4848	150	18	the	the	DET
cana-4848	150	19	multi	multi	ADJ
cana-4848	150	20	-	-	ADJ
cana-4848	150	21	scale	scale	ADJ
cana-4848	150	22	fractal	fractal	ADJ
cana-4848	150	23	feature	feature	NOUN
cana-4848	150	24	network	network	NOUN
cana-4848	150	25	(	(	PUNCT
cana-4848	150	26	mffn	mffn	NOUN
cana-4848	150	27	)	)	PUNCT
cana-4848	150	28	,	,	PUNCT
cana-4848	150	29	which	which	PRON
cana-4848	150	30	increases	increase	VERB
cana-4848	150	31	the	the	DET
cana-4848	150	32	sensitivity	sensitivity	NOUN
cana-4848	150	33	and	and	CCONJ
cana-4848	150	34	accuracy	accuracy	NOUN
cana-4848	150	35	of	of	ADP
cana-4848	150	36	brain	brain	NOUN
cana-4848	150	37	tumor	tumor	NOUN
cana-4848	150	38	segmentation	segmentation	NOUN
cana-4848	150	39	.	.	PUNCT
cana-4848	151	1	this	this	DET
cana-4848	151	2	method	method	NOUN
cana-4848	151	3	makes	make	VERB
cana-4848	151	4	advantage	advantage	NOUN
cana-4848	151	5	of	of	ADP
cana-4848	151	6	multi	multi	ADJ
cana-4848	151	7	-	-	ADJ
cana-4848	151	8	scale	scale	ADJ
cana-4848	151	9	pixel	pixel	NOUN
cana-4848	151	10	segmentation	segmentation	NOUN
cana-4848	151	11	and	and	CCONJ
cana-4848	151	12	classification	classification	NOUN
cana-4848	151	13	,	,	PUNCT
cana-4848	151	14	which	which	PRON
cana-4848	151	15	is	be	AUX
cana-4848	151	16	well	well	ADV
cana-4848	151	17	known	known	ADJ
cana-4848	151	18	for	for	ADP
cana-4848	151	19	its	its	PRON
cana-4848	151	20	precision	precision	NOUN
cana-4848	151	21	and	and	CCONJ
cana-4848	151	22	potency	potency	NOUN
cana-4848	151	23	in	in	ADP
cana-4848	151	24	tumor	tumor	NOUN
cana-4848	151	25	detection	detection	NOUN
cana-4848	151	26	.	.	PUNCT
cana-4848	152	1	using	use	VERB
cana-4848	152	2	the	the	DET
cana-4848	152	3	ideas	idea	NOUN
cana-4848	152	4	of	of	ADP
cana-4848	152	5	fractal	fractal	ADJ
cana-4848	152	6	geometry	geometry	NOUN
cana-4848	152	7	,	,	PUNCT
cana-4848	152	8	the	the	DET
cana-4848	152	9	authors	author	NOUN
cana-4848	152	10	construct	construct	VERB
cana-4848	152	11	a	a	DET
cana-4848	152	12	fractal	fractal	ADJ
cana-4848	152	13	residual	residual	ADJ
cana-4848	152	14	structure	structure	NOUN
cana-4848	152	15	inside	inside	ADP
cana-4848	152	16	the	the	DET
cana-4848	152	17	mffn	mffn	NOUN
cana-4848	152	18	.	.	PUNCT
cana-4848	153	1	this	this	DET
cana-4848	153	2	new	new	ADJ
cana-4848	153	3	technique	technique	NOUN
cana-4848	153	4	improves	improve	VERB
cana-4848	153	5	the	the	DET
cana-4848	153	6	network	network	NOUN
cana-4848	153	7	's	's	PART
cana-4848	153	8	performance	performance	NOUN
cana-4848	153	9	by	by	ADP
cana-4848	153	10	utilizing	utilize	VERB
cana-4848	153	11	the	the	DET
cana-4848	153	12	unique	unique	ADJ
cana-4848	153	13	properties	property	NOUN
cana-4848	153	14	of	of	ADP
cana-4848	153	15	fractals	fractal	NOUN
cana-4848	153	16	,	,	PUNCT
cana-4848	153	17	which	which	PRON
cana-4848	153	18	can	can	AUX
cana-4848	153	19	spot	spot	VERB
cana-4848	153	20	complex	complex	ADJ
cana-4848	153	21	patterns	pattern	NOUN
cana-4848	153	22	in	in	ADP
cana-4848	153	23	the	the	DET
cana-4848	153	24	data	datum	NOUN
cana-4848	153	25	[	[	X
cana-4848	153	26	18	18	NUM
cana-4848	153	27	]	]	PUNCT
cana-4848	153	28	.	.	PUNCT
cana-4848	154	1	kavita	kavita	PROPN
cana-4848	154	2	a.	a.	PROPN
cana-4848	154	3	sultanpure	sultanpure	PROPN
cana-4848	154	4	,	,	PUNCT
cana-4848	154	5	jayashri	jayashri	NOUN
cana-4848	154	6	bagade	bagade	NOUN
cana-4848	154	7	,	,	PUNCT
cana-4848	154	8	and	and	CCONJ
cana-4848	154	9	others	other	NOUN
cana-4848	154	10	input	input	NOUN
cana-4848	154	11	photos	photo	NOUN
cana-4848	154	12	are	be	AUX
cana-4848	154	13	extracted	extract	VERB
cana-4848	154	14	from	from	ADP
cana-4848	154	15	cloud	cloud	ADJ
cana-4848	154	16	storage	storage	NOUN
cana-4848	154	17	for	for	ADP
cana-4848	154	18	analysis	analysis	NOUN
cana-4848	154	19	.	.	PUNCT
cana-4848	155	1	the	the	DET
cana-4848	155	2	pso	pso	NOUN
cana-4848	155	3	algorithm	algorithm	NOUN
cana-4848	155	4	selects	select	VERB
cana-4848	155	5	features	feature	NOUN
cana-4848	155	6	to	to	PART
cana-4848	155	7	categorize	categorize	VERB
cana-4848	155	8	brain	brain	NOUN
cana-4848	155	9	tumors	tumor	NOUN
cana-4848	155	10	.	.	PUNCT
cana-4848	156	1	images	image	NOUN
cana-4848	156	2	of	of	ADP
cana-4848	156	3	brain	brain	NOUN
cana-4848	156	4	tumors	tumor	NOUN
cana-4848	156	5	were	be	AUX
cana-4848	156	6	correctly	correctly	ADV
cana-4848	156	7	classified	classified	ADJ
cana-4848	156	8	using	use	VERB
cana-4848	156	9	cnn	cnn	PROPN
cana-4848	156	10	and	and	CCONJ
cana-4848	156	11	svm	svm	PROPN
cana-4848	156	12	.	.	PROPN
cana-4848	157	1	svm	svm	PROPN
cana-4848	157	2	maximizes	maximize	VERB
cana-4848	157	3	data	datum	NOUN
cana-4848	157	4	margins	margin	NOUN
cana-4848	157	5	between	between	ADP
cana-4848	157	6	datasets	dataset	NOUN
cana-4848	157	7	.	.	PUNCT
cana-4848	158	1	using	use	VERB
cana-4848	158	2	machine	machine	NOUN
cana-4848	158	3	and	and	CCONJ
cana-4848	158	4	dl	dl	PROPN
cana-4848	158	5	approaches	approach	NOUN
cana-4848	158	6	,	,	PUNCT
cana-4848	158	7	md	md	PROPN
cana-4848	158	8	.	.	PROPN
cana-4848	158	9	shafiul	shafiul	PROPN
cana-4848	158	10	azam	azam	PROPN
cana-4848	158	11	,	,	PUNCT
cana-4848	158	12	md	md	PROPN
cana-4848	158	13	.	.	PUNCT
cana-4848	159	1	naim	naim	PROPN
cana-4848	159	2	islam	islam	PROPN
cana-4848	159	3	,	,	PUNCT
cana-4848	159	4	and	and	CCONJ
cana-4848	159	5	others	other	NOUN
cana-4848	159	6	are	be	AUX
cana-4848	159	7	working	work	VERB
cana-4848	159	8	to	to	PART
cana-4848	159	9	develop	develop	VERB
cana-4848	159	10	an	an	DET
cana-4848	159	11	enhanced	enhance	VERB
cana-4848	159	12	system	system	NOUN
cana-4848	159	13	for	for	ADP
cana-4848	159	14	the	the	DET
cana-4848	159	15	detection	detection	NOUN
cana-4848	159	16	and	and	CCONJ
cana-4848	159	17	categorization	categorization	NOUN
cana-4848	159	18	of	of	ADP
cana-4848	159	19	brain	brain	NOUN
cana-4848	159	20	tumors	tumor	NOUN
cana-4848	159	21	(	(	PUNCT
cana-4848	159	22	bt	bt	NOUN
cana-4848	159	23	)	)	PUNCT
cana-4848	159	24	.	.	PUNCT
cana-4848	160	1	dl	dl	PROPN
cana-4848	160	2	techniques	technique	NOUN
cana-4848	160	3	were	be	AUX
cana-4848	160	4	used	use	VERB
cana-4848	160	5	,	,	PUNCT
cana-4848	160	6	such	such	ADJ
cana-4848	160	7	as	as	ADP
cana-4848	160	8	the	the	DET
cana-4848	160	9	cnn	cnn	PROPN
cana-4848	160	10	long	long	ADJ
cana-4848	160	11	short	short	ADJ
cana-4848	160	12	-	-	PUNCT
cana-4848	160	13	term	term	NOUN
cana-4848	160	14	memory	memory	NOUN
cana-4848	160	15	(	(	PUNCT
cana-4848	160	16	lstm	lstm	NOUN
cana-4848	160	17	)	)	PUNCT
cana-4848	160	18	model	model	NOUN
cana-4848	160	19	,	,	PUNCT
cana-4848	160	20	the	the	DET
cana-4848	160	21	cnn	cnn	PROPN
cana-4848	160	22	2d	2d	PROPN
cana-4848	160	23	cnn	cnn	PROPN
cana-4848	160	24	with	with	ADP
cana-4848	160	25	13	13	NUM
cana-4848	160	26	layers	layer	NOUN
cana-4848	160	27	,	,	PUNCT
cana-4848	160	28	and	and	CCONJ
cana-4848	160	29	another	another	DET
cana-4848	160	30	cnn	cnn	NOUN
cana-4848	160	31	with	with	ADP
cana-4848	160	32	9	9	NUM
cana-4848	160	33	levels	level	NOUN
cana-4848	160	34	.	.	PUNCT
cana-4848	161	1	impressive	impressive	ADJ
cana-4848	161	2	accuracy	accuracy	NOUN
cana-4848	161	3	rates	rate	NOUN
cana-4848	161	4	were	be	AUX
cana-4848	161	5	attained	attain	VERB
cana-4848	161	6	by	by	ADP
cana-4848	161	7	the	the	DET
cana-4848	161	8	models	model	NOUN
cana-4848	161	9	.	.	PUNCT
cana-4848	162	1	98.47	98.47	NUM
cana-4848	162	2	%	%	NOUN
cana-4848	162	3	for	for	ADP
cana-4848	162	4	2d	2d	PROPN
cana-4848	162	5	cnn	cnn	PROPN
cana-4848	162	6	lstm	lstm	PROPN
cana-4848	162	7	,	,	PUNCT
cana-4848	162	8	97.71	97.71	NUM
cana-4848	162	9	%	%	NOUN
cana-4848	162	10	for	for	ADP
cana-4848	162	11	2d	2d	PROPN
cana-4848	162	12	cnn	cnn	PROPN
cana-4848	162	13	(	(	PUNCT
cana-4848	162	14	9	9	NUM
cana-4848	162	15	layers	layer	NOUN
cana-4848	162	16	)	)	PUNCT
cana-4848	162	17	,	,	PUNCT
cana-4848	162	18	and	and	CCONJ
cana-4848	162	19	92.36	92.36	NUM
cana-4848	162	20	%	%	NOUN
cana-4848	162	21	for	for	ADP
cana-4848	162	22	2d	2d	PROPN
cana-4848	162	23	cnn	cnn	PROPN
cana-4848	162	24	(	(	PUNCT
cana-4848	162	25	13	13	NUM
cana-4848	162	26	layers	layer	NOUN
cana-4848	162	27	)	)	PUNCT
cana-4848	162	28	.	.	PUNCT
cana-4848	163	1	these	these	DET
cana-4848	163	2	dl	dl	PROPN
cana-4848	163	3	methods	method	NOUN
cana-4848	163	4	were	be	AUX
cana-4848	163	5	combined	combine	VERB
cana-4848	163	6	to	to	PART
cana-4848	163	7	create	create	VERB
cana-4848	163	8	the	the	DET
cana-4848	163	9	ensemble	ensemble	ADJ
cana-4848	163	10	model	model	NOUN
cana-4848	163	11	.	.	PUNCT
cana-4848	164	1	they	they	PRON
cana-4848	164	2	receive	receive	VERB
cana-4848	164	3	precision	precision	NOUN
cana-4848	164	4	of	of	ADP
cana-4848	164	5	99	99	NUM
cana-4848	164	6	%	%	NOUN
cana-4848	164	7	and	and	CCONJ
cana-4848	164	8	overall	overall	ADJ
cana-4848	164	9	accuracy	accuracy	NOUN
cana-4848	164	10	of	of	ADP
cana-4848	164	11	98.82	98.82	NUM
cana-4848	164	12	%	%	NOUN
cana-4848	164	13	.	.	PUNCT
cana-4848	165	1	presented	present	VERB
cana-4848	165	2	a	a	DET
cana-4848	165	3	new	new	ADJ
cana-4848	165	4	ensemble	ensemble	ADJ
cana-4848	165	5	model	model	NOUN
cana-4848	165	6	that	that	PRON
cana-4848	165	7	adds	add	VERB
cana-4848	165	8	fully	fully	ADV
cana-4848	165	9	connected	connected	ADJ
cana-4848	165	10	layers	layer	NOUN
cana-4848	165	11	to	to	ADP
cana-4848	165	12	the	the	DET
cana-4848	165	13	cnn	cnn	PROPN
cana-4848	165	14	and	and	CCONJ
cana-4848	165	15	cnn	cnn	PROPN
cana-4848	165	16	lstm	lstm	PROPN
cana-4848	165	17	models	model	NOUN
cana-4848	165	18	,	,	PUNCT
cana-4848	165	19	improving	improve	VERB
cana-4848	165	20	the	the	DET
cana-4848	165	21	default	default	NOUN
cana-4848	165	22	architecture	architecture	NOUN
cana-4848	165	23	.	.	PUNCT
cana-4848	166	1	showed	show	VERB
cana-4848	166	2	how	how	SCONJ
cana-4848	166	3	important	important	ADJ
cana-4848	166	4	ensemble	ensemble	ADJ
cana-4848	166	5	learning	learning	NOUN
cana-4848	166	6	is	be	AUX
cana-4848	166	7	for	for	ADP
cana-4848	166	8	enhancing	enhance	VERB
cana-4848	166	9	the	the	DET
cana-4848	166	10	classification	classification	NOUN
cana-4848	166	11	performance	performance	NOUN
cana-4848	166	12	of	of	ADP
cana-4848	166	13	medical	medical	ADJ
cana-4848	166	14	images	image	NOUN
cana-4848	166	15	[	[	X
cana-4848	166	16	20	20	NUM
cana-4848	166	17	]	]	PUNCT
cana-4848	166	18	.	.	PUNCT
cana-4848	167	1	venkatesh	venkatesh	PROPN
cana-4848	167	2	pulletikurthi	pulletikurthi	PROPN
cana-4848	167	3	,	,	PUNCT
cana-4848	167	4	rita	rita	PROPN
cana-4848	167	5	appiah	appiah	PROPN
cana-4848	167	6	,	,	PUNCT
cana-4848	167	7	and	and	CCONJ
cana-4848	167	8	others	other	NOUN
cana-4848	167	9	first	first	ADV
cana-4848	167	10	used	use	VERB
cana-4848	167	11	cnn	cnn	PROPN
cana-4848	167	12	in	in	ADP
cana-4848	167	13	conjunction	conjunction	NOUN
cana-4848	167	14	with	with	ADP
cana-4848	167	15	proper	proper	ADJ
cana-4848	167	16	orthogonal	orthogonal	ADJ
cana-4848	167	17	decomposition	decomposition	NOUN
cana-4848	167	18	(	(	PUNCT
cana-4848	167	19	pod	pod	NOUN
cana-4848	167	20	)	)	PUNCT
cana-4848	167	21	to	to	PART
cana-4848	167	22	detect	detect	VERB
cana-4848	167	23	brain	brain	NOUN
cana-4848	167	24	tumors.the	tumors.the	DET
cana-4848	167	25	goal	goal	NOUN
cana-4848	167	26	of	of	ADP
cana-4848	167	27	this	this	DET
cana-4848	167	28	integration	integration	NOUN
cana-4848	167	29	is	be	AUX
cana-4848	167	30	to	to	PART
cana-4848	167	31	improve	improve	VERB
cana-4848	167	32	tumor	tumor	NOUN
cana-4848	167	33	detection	detection	NOUN
cana-4848	167	34	's	's	PART
cana-4848	167	35	accuracy	accuracy	NOUN
cana-4848	167	36	and	and	CCONJ
cana-4848	167	37	dependability	dependability	NOUN
cana-4848	167	38	,	,	PUNCT
cana-4848	167	39	particularly	particularly	ADV
cana-4848	167	40	when	when	SCONJ
cana-4848	167	41	using	use	VERB
cana-4848	167	42	sparse	sparse	ADJ
cana-4848	167	43	mri	mri	NOUN
cana-4848	167	44	scan	scan	PROPN
cana-4848	167	45	data	data	PROPN
cana-4848	167	46	.	.	PUNCT
cana-4848	168	1	achieved	achieve	VERB
cana-4848	168	2	a	a	DET
cana-4848	168	3	remarkable	remarkable	ADJ
cana-4848	168	4	99.21	99.21	NUM
cana-4848	168	5	%	%	NOUN
cana-4848	168	6	tumor	tumor	NOUN
cana-4848	168	7	identification	identification	NOUN
cana-4848	168	8	accuracy	accuracy	NOUN
cana-4848	168	9	using	use	VERB
cana-4848	168	10	cnn	cnn	PROPN
cana-4848	168	11	[	[	X
cana-4848	168	12	21	21	NUM
cana-4848	168	13	]	]	PUNCT
cana-4848	168	14	.	.	PUNCT
cana-4848	169	1	5	5	X
cana-4848	169	2	.	.	X
cana-4848	169	3	discussion	discussion	NOUN
cana-4848	169	4	–	–	PUNCT
cana-4848	169	5	a	a	DET
cana-4848	169	6	comparative	comparative	ADJ
cana-4848	169	7	analysis	analysis	NOUN
cana-4848	169	8	a	a	DET
cana-4848	169	9	comparative	comparative	ADJ
cana-4848	169	10	study	study	NOUN
cana-4848	169	11	of	of	ADP
cana-4848	169	12	the	the	DET
cana-4848	169	13	literature	literature	NOUN
cana-4848	169	14	review	review	NOUN
cana-4848	169	15	conducted	conduct	VERB
cana-4848	169	16	by	by	ADP
cana-4848	169	17	several	several	ADJ
cana-4848	169	18	writers	writer	NOUN
cana-4848	169	19	is	be	AUX
cana-4848	169	20	presented	present	VERB
cana-4848	169	21	in	in	ADP
cana-4848	169	22	this	this	DET
cana-4848	169	23	section	section	NOUN
cana-4848	169	24	.	.	PUNCT
cana-4848	170	1	the	the	DET
cana-4848	170	2	detailed	detailed	ADJ
cana-4848	170	3	analysis	analysis	NOUN
cana-4848	170	4	and	and	CCONJ
cana-4848	170	5	methods	method	NOUN
cana-4848	170	6	the	the	DET
cana-4848	170	7	researchers	researcher	NOUN
cana-4848	170	8	used	use	VERB
cana-4848	170	9	to	to	PART
cana-4848	170	10	train	train	VERB
cana-4848	170	11	the	the	DET
cana-4848	170	12	models	model	NOUN
cana-4848	170	13	are	be	AUX
cana-4848	170	14	shown	show	VERB
cana-4848	170	15	in	in	ADP
cana-4848	170	16	the	the	DET
cana-4848	170	17	following	follow	VERB
cana-4848	170	18	table	table	NOUN
cana-4848	170	19	.	.	PUNCT
cana-4848	171	1	table	table	NOUN
cana-4848	171	2	5.1	5.1	NUM
cana-4848	171	3	comparative	comparative	ADJ
cana-4848	171	4	analysis	analysis	NOUN
cana-4848	171	5	authors	author	NOUN
cana-4848	171	6	and	and	CCONJ
cana-4848	171	7	their	their	PRON
cana-4848	171	8	work	work	NOUN
cana-4848	171	9	methodology	methodology	NOUN
cana-4848	171	10	and	and	CCONJ
cana-4848	171	11	dataset	dataset	NOUN
cana-4848	171	12	used	use	VERB
cana-4848	171	13	analysis	analysis	NOUN
cana-4848	171	14	limitations	limitation	NOUN
cana-4848	171	15	praveen	praveen	PROPN
cana-4848	171	16	kumar	kumar	PROPN
cana-4848	171	17	ramtekkar	ramtekkar	PROPN
cana-4848	171	18	,	,	PUNCT
cana-4848	171	19	anjana	anjana	PROPN
cana-4848	171	20	pandey	pandey	PROPN
cana-4848	171	21	,	,	PUNCT
cana-4848	171	22	and	and	CCONJ
cana-4848	171	23	others	other	NOUN
cana-4848	171	24	utilized	utilize	VERB
cana-4848	171	25	mri	mri	NOUN
cana-4848	171	26	imaging	imaging	NOUN
cana-4848	171	27	for	for	ADP
cana-4848	171	28	tumor	tumor	NOUN
cana-4848	171	29	analysis	analysis	NOUN
cana-4848	171	30	[	[	X
cana-4848	171	31	3	3	NUM
cana-4848	171	32	]	]	PUNCT
cana-4848	171	33	.	.	PUNCT
cana-4848	172	1	use	use	VERB
cana-4848	172	2	glcm	glcm	NOUN
cana-4848	172	3	for	for	ADP
cana-4848	172	4	texture	texture	NOUN
cana-4848	172	5	-	-	PUNCT
cana-4848	172	6	based	base	VERB
cana-4848	172	7	feature	feature	NOUN
cana-4848	172	8	extraction	extraction	NOUN
cana-4848	172	9	.	.	PUNCT
cana-4848	173	1	achieved	achieve	VERB
cana-4848	173	2	98.9	98.9	NUM
cana-4848	173	3	%	%	NOUN
cana-4848	173	4	precision	precision	NOUN
cana-4848	173	5	in	in	ADP
cana-4848	173	6	identifying	identify	VERB
cana-4848	173	7	cerebral	cerebral	ADJ
cana-4848	173	8	neoplasms	neoplasm	NOUN
cana-4848	173	9	from	from	ADP
cana-4848	173	10	mri	mri	NOUN
cana-4848	173	11	scans	scan	NOUN
cana-4848	173	12	.	.	PUNCT
cana-4848	174	1	facilitates	facilitate	VERB
cana-4848	174	2	early	early	ADJ
cana-4848	174	3	detection	detection	NOUN
cana-4848	174	4	,	,	PUNCT
cana-4848	174	5	significantly	significantly	ADV
cana-4848	174	6	improving	improve	VERB
cana-4848	174	7	therapeutic	therapeutic	ADJ
cana-4848	174	8	outcomes	outcome	NOUN
cana-4848	174	9	glcm	glcm	NOUN
cana-4848	174	10	is	be	AUX
cana-4848	174	11	sensitive	sensitive	ADJ
cana-4848	174	12	to	to	ADP
cana-4848	174	13	noise	noise	NOUN
cana-4848	174	14	reduction	reduction	NOUN
cana-4848	174	15	.	.	PUNCT
cana-4848	175	1	these	these	PRON
cana-4848	175	2	can	can	AUX
cana-4848	175	3	be	be	AUX
cana-4848	175	4	affect	affect	VERB
cana-4848	175	5	to	to	PART
cana-4848	175	6	feature	feature	VERB
cana-4848	175	7	extraction	extraction	NOUN
cana-4848	175	8	.	.	PUNCT
cana-4848	176	1	communications	communication	NOUN
cana-4848	176	2	on	on	ADP
cana-4848	176	3	applied	apply	VERB
cana-4848	176	4	nonlinear	nonlinear	ADJ
cana-4848	176	5	analysis	analysis	NOUN
cana-4848	176	6	issn	issn	NOUN
cana-4848	176	7	:	:	PUNCT
cana-4848	176	8	1074	1074	NUM
cana-4848	176	9	-	-	PUNCT
cana-4848	176	10	133x	133x	NUM
cana-4848	176	11	vol	vol	VERB
cana-4848	176	12	32	32	NUM
cana-4848	176	13	no	no	NOUN
cana-4848	176	14	.	.	PUNCT
cana-4848	177	1	10s	10	NOUN
cana-4848	177	2	(	(	PUNCT
cana-4848	177	3	2025	2025	NUM
cana-4848	177	4	)	)	PUNCT
cana-4848	177	5	588	588	NUM
cana-4848	177	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4848	177	7	soheila	soheila	PROPN
cana-4848	177	8	saeedi	saeedi	PROPN
cana-4848	177	9	,	,	PUNCT
cana-4848	177	10	sorayya	sorayya	PROPN
cana-4848	177	11	rezayi	rezayi	VERB
cana-4848	177	12	and	and	CCONJ
cana-4848	177	13	others	other	NOUN
cana-4848	177	14	utilized	utilize	VERB
cana-4848	177	15	mri	mri	NOUN
cana-4848	177	16	imaging	imaging	NOUN
cana-4848	177	17	as	as	ADP
cana-4848	177	18	the	the	DET
cana-4848	177	19	primary	primary	ADJ
cana-4848	177	20	data	datum	NOUN
cana-4848	177	21	source	source	NOUN
cana-4848	177	22	[	[	X
cana-4848	177	23	4	4	NUM
cana-4848	177	24	]	]	PUNCT
cana-4848	177	25	.	.	PUNCT
cana-4848	178	1	implemented	implement	VERB
cana-4848	178	2	2d	2d	NUM
cana-4848	178	3	cnn	cnn	PROPN
cana-4848	178	4	and	and	CCONJ
cana-4848	178	5	autoencoder	autoencoder	NOUN
cana-4848	178	6	network	network	NOUN
cana-4848	178	7	.	.	PUNCT
cana-4848	179	1	the	the	DET
cana-4848	179	2	accuracy	accuracy	NOUN
cana-4848	179	3	of	of	ADP
cana-4848	179	4	the	the	DET
cana-4848	179	5	auto	auto	NOUN
cana-4848	179	6	-	-	PUNCT
cana-4848	179	7	encoder	encoder	NOUN
cana-4848	179	8	network	network	NOUN
cana-4848	179	9	was	be	AUX
cana-4848	179	10	95.63	95.63	NUM
cana-4848	179	11	%	%	NOUN
cana-4848	179	12	,	,	PUNCT
cana-4848	179	13	whereas	whereas	SCONJ
cana-4848	179	14	that	that	PRON
cana-4848	179	15	of	of	ADP
cana-4848	179	16	the	the	DET
cana-4848	179	17	suggested	suggest	VERB
cana-4848	179	18	2d	2d	PROPN
cana-4848	179	19	cnn	cnn	PROPN
cana-4848	179	20	was	be	AUX
cana-4848	179	21	96.47	96.47	NUM
cana-4848	179	22	%	%	NOUN
cana-4848	179	23	.	.	PUNCT
cana-4848	180	1	use	use	VERB
cana-4848	180	2	a	a	DET
cana-4848	180	3	small	small	ADJ
cana-4848	180	4	dataset	dataset	NOUN
cana-4848	180	5	only	only	ADV
cana-4848	180	6	.	.	PUNCT
cana-4848	181	1	the	the	DET
cana-4848	181	2	model	model	NOUN
cana-4848	181	3	must	must	AUX
cana-4848	181	4	be	be	AUX
cana-4848	181	5	trained	train	VERB
cana-4848	181	6	using	use	VERB
cana-4848	181	7	a	a	DET
cana-4848	181	8	variety	variety	NOUN
cana-4848	181	9	of	of	ADP
cana-4848	181	10	datasets	dataset	NOUN
cana-4848	181	11	.	.	PUNCT
cana-4848	182	1	novsheena	novsheena	ADJ
cana-4848	182	2	rasool	rasool	PROPN
cana-4848	182	3	,	,	PUNCT
cana-4848	182	4	javaid	javaid	PROPN
cana-4848	182	5	iqbal	iqbal	PROPN
cana-4848	182	6	bhat	bhat	PROPN
cana-4848	182	7	utilized	utilize	VERB
cana-4848	182	8	mri	mri	NOUN
cana-4848	182	9	images	image	NOUN
cana-4848	182	10	from	from	ADP
cana-4848	182	11	diverse	diverse	ADJ
cana-4848	182	12	sources	source	NOUN
cana-4848	182	13	for	for	ADP
cana-4848	182	14	analysis	analysis	NOUN
cana-4848	182	15	[	[	X
cana-4848	182	16	5	5	NUM
cana-4848	182	17	]	]	PUNCT
cana-4848	182	18	.	.	PUNCT
cana-4848	183	1	use	use	VERB
cana-4848	183	2	encoderdecoder	encoderdecoder	NOUN
cana-4848	183	3	models	model	NOUN
cana-4848	183	4	for	for	ADP
cana-4848	183	5	image	image	NOUN
cana-4848	183	6	segmentation	segmentation	NOUN
cana-4848	183	7	and	and	CCONJ
cana-4848	183	8	feature	feature	NOUN
cana-4848	183	9	extraction	extraction	NOUN
cana-4848	183	10	.	.	PUNCT
cana-4848	184	1	cascaded	cascade	VERB
cana-4848	184	2	models	model	NOUN
cana-4848	184	3	use	use	VERB
cana-4848	184	4	for	for	ADP
cana-4848	184	5	layered	layered	ADJ
cana-4848	184	6	approaches	approach	NOUN
cana-4848	184	7	to	to	PART
cana-4848	184	8	refine	refine	VERB
cana-4848	184	9	predictions	prediction	NOUN
cana-4848	184	10	step	step	NOUN
cana-4848	184	11	-	-	PUNCT
cana-4848	184	12	by	by	ADP
cana-4848	184	13	-	-	PUNCT
cana-4848	184	14	step	step	NOUN
cana-4848	184	15	.	.	PUNCT
cana-4848	185	1	combining	combine	VERB
cana-4848	185	2	multiple	multiple	ADJ
cana-4848	185	3	models	model	NOUN
cana-4848	185	4	for	for	ADP
cana-4848	185	5	improved	improved	ADJ
cana-4848	185	6	robustness	robustness	NOUN
cana-4848	185	7	and	and	CCONJ
cana-4848	185	8	accuracy	accuracy	NOUN
cana-4848	185	9	using	use	VERB
cana-4848	185	10	ensemble	ensemble	ADJ
cana-4848	185	11	model	model	NOUN
cana-4848	185	12	focused	focus	VERB
cana-4848	185	13	on	on	ADP
cana-4848	185	14	addressing	address	VERB
cana-4848	185	15	the	the	DET
cana-4848	185	16	complex	complex	ADJ
cana-4848	185	17	challenges	challenge	NOUN
cana-4848	185	18	in	in	ADP
cana-4848	185	19	brain	brain	NOUN
cana-4848	185	20	tumor	tumor	NOUN
cana-4848	185	21	detection	detection	NOUN
cana-4848	185	22	.	.	PUNCT
cana-4848	186	1	the	the	DET
cana-4848	186	2	encoder	encoder	NOUN
cana-4848	186	3	-	-	PUNCT
cana-4848	186	4	decoder	decoder	NOUN
cana-4848	186	5	requires	require	VERB
cana-4848	186	6	a	a	DET
cana-4848	186	7	lot	lot	NOUN
cana-4848	186	8	of	of	ADP
cana-4848	186	9	processing	processing	NOUN
cana-4848	186	10	power	power	NOUN
cana-4848	186	11	.	.	PUNCT
cana-4848	187	1	cascaded	cascade	VERB
cana-4848	187	2	models	model	NOUN
cana-4848	187	3	are	be	AUX
cana-4848	187	4	quite	quite	ADV
cana-4848	187	5	complicated	complicated	ADJ
cana-4848	187	6	and	and	CCONJ
cana-4848	187	7	take	take	VERB
cana-4848	187	8	longer	long	ADV
cana-4848	187	9	to	to	PART
cana-4848	187	10	train	train	VERB
cana-4848	187	11	.	.	PUNCT
cana-4848	188	1	k.	k.	PROPN
cana-4848	188	2	bhagyalaxmi	bhagyalaxmi	PROPN
cana-4848	188	3	and	and	CCONJ
cana-4848	188	4	others	other	NOUN
cana-4848	188	5	perform	perform	VERB
cana-4848	188	6	comprehensive	comprehensive	ADJ
cana-4848	188	7	review	review	NOUN
cana-4848	188	8	of	of	ADP
cana-4848	188	9	existing	exist	VERB
cana-4848	188	10	techniques	technique	NOUN
cana-4848	188	11	for	for	ADP
cana-4848	188	12	brain	brain	NOUN
cana-4848	188	13	tumor	tumor	NOUN
cana-4848	188	14	detection	detection	NOUN
cana-4848	188	15	and	and	CCONJ
cana-4848	188	16	classification	classification	NOUN
cana-4848	188	17	[	[	X
cana-4848	188	18	6	6	NUM
cana-4848	188	19	]	]	PUNCT
cana-4848	188	20	.	.	PUNCT
cana-4848	189	1	perform	perform	VERB
cana-4848	189	2	hybrid	hybrid	ADJ
cana-4848	189	3	cnn	cnn	PROPN
cana-4848	189	4	features	feature	VERB
cana-4848	189	5	with	with	ADP
cana-4848	189	6	svm	svm	NOUN
cana-4848	189	7	for	for	ADP
cana-4848	189	8	combining	combine	VERB
cana-4848	189	9	dl	dl	PROPN
cana-4848	189	10	features	feature	NOUN
cana-4848	189	11	with	with	ADP
cana-4848	189	12	classical	classical	ADJ
cana-4848	189	13	machine	machine	NOUN
cana-4848	189	14	learning	learning	NOUN
cana-4848	189	15	for	for	ADP
cana-4848	189	16	robust	robust	ADJ
cana-4848	189	17	classification	classification	NOUN
cana-4848	189	18	uses	use	VERB
cana-4848	189	19	advance	advance	NOUN
cana-4848	189	20	model	model	NOUN
cana-4848	189	21	like	like	ADP
cana-4848	189	22	google	google	NOUN
cana-4848	189	23	-	-	PUNCT
cana-4848	189	24	lenet	lenet	NOUN
cana-4848	189	25	encodings	encoding	NOUN
cana-4848	189	26	via	via	ADP
cana-4848	189	27	transfer	transfer	NOUN
cana-4848	189	28	learning	learning	NOUN
cana-4848	189	29	,	,	PUNCT
cana-4848	189	30	mask	mask	NOUN
cana-4848	189	31	-	-	PUNCT
cana-4848	189	32	rcnn	rcnn	PROPN
cana-4848	189	33	with	with	ADP
cana-4848	189	34	densenet-41	densenet-41	PROPN
cana-4848	189	35	.	.	PUNCT
cana-4848	190	1	the	the	DET
cana-4848	190	2	pipeline	pipeline	NOUN
cana-4848	190	3	becomes	become	VERB
cana-4848	190	4	more	more	ADV
cana-4848	190	5	complex	complex	ADJ
cana-4848	190	6	when	when	SCONJ
cana-4848	190	7	dl	dl	PROPN
cana-4848	190	8	and	and	CCONJ
cana-4848	190	9	traditional	traditional	ADJ
cana-4848	190	10	machine	machine	NOUN
cana-4848	190	11	learning	learning	NOUN
cana-4848	190	12	are	be	AUX
cana-4848	190	13	combined	combine	VERB
cana-4848	190	14	,	,	PUNCT
cana-4848	190	15	necessitating	necessitate	VERB
cana-4848	190	16	extra	extra	ADJ
cana-4848	190	17	processes	process	NOUN
cana-4848	190	18	for	for	ADP
cana-4848	190	19	feature	feature	NOUN
cana-4848	190	20	extraction	extraction	NOUN
cana-4848	190	21	,	,	PUNCT
cana-4848	190	22	preprocessing	preprocessing	NOUN
cana-4848	190	23	,	,	PUNCT
cana-4848	190	24	and	and	CCONJ
cana-4848	190	25	integration	integration	NOUN
cana-4848	190	26	.	.	PUNCT
cana-4848	191	1	praveen	praveen	PROPN
cana-4848	191	2	kumar	kumar	PROPN
cana-4848	191	3	and	and	CCONJ
cana-4848	191	4	others	other	NOUN
cana-4848	191	5	focus	focus	VERB
cana-4848	191	6	on	on	ADP
cana-4848	191	7	developing	develop	VERB
cana-4848	191	8	an	an	DET
cana-4848	191	9	optimized	optimize	VERB
cana-4848	191	10	cnn	cnn	PROPN
cana-4848	191	11	-	-	PUNCT
cana-4848	191	12	based	base	VERB
cana-4848	191	13	system	system	NOUN
cana-4848	191	14	for	for	ADP
cana-4848	191	15	brain	brain	NOUN
cana-4848	191	16	tumor	tumor	NOUN
cana-4848	191	17	detection	detection	NOUN
cana-4848	191	18	[	[	X
cana-4848	191	19	7	7	X
cana-4848	191	20	]	]	X
cana-4848	191	21	mri	mri	NOUN
cana-4848	191	22	images	image	NOUN
cana-4848	191	23	preprocessed	preprocesse	VERB
cana-4848	191	24	using	use	VERB
cana-4848	191	25	gaussian	gaussian	ADJ
cana-4848	191	26	filter	filter	NOUN
cana-4848	191	27	,	,	PUNCT
cana-4848	191	28	mean	mean	ADJ
cana-4848	191	29	filter	filter	NOUN
cana-4848	191	30	and	and	CCONJ
cana-4848	191	31	median	median	ADJ
cana-4848	191	32	filter	filter	NOUN
cana-4848	191	33	.	.	PUNCT
cana-4848	192	1	applied	apply	VERB
cana-4848	192	2	thresholding	thresholding	NOUN
cana-4848	192	3	and	and	CCONJ
cana-4848	192	4	histogram	histogram	NOUN
cana-4848	192	5	techniques	technique	NOUN
cana-4848	192	6	for	for	ADP
cana-4848	192	7	effective	effective	ADJ
cana-4848	192	8	image	image	NOUN
cana-4848	192	9	segmentation	segmentation	NOUN
cana-4848	192	10	achieved	achieve	VERB
cana-4848	192	11	accuracy	accuracy	NOUN
cana-4848	192	12	of	of	ADP
cana-4848	192	13	98.9	98.9	NUM
cana-4848	192	14	%	%	NOUN
cana-4848	192	15	.	.	PUNCT
cana-4848	193	1	of	of	ADP
cana-4848	193	2	optimizes	optimize	VERB
cana-4848	193	3	cnn	cnn	PROPN
cana-4848	193	4	.	.	PUNCT
cana-4848	194	1	uses	use	VERB
cana-4848	194	2	woa	woa	PROPN
cana-4848	194	3	and	and	CCONJ
cana-4848	194	4	gwo	gwo	VERB
cana-4848	194	5	for	for	ADP
cana-4848	194	6	optimization	optimization	NOUN
cana-4848	194	7	.	.	PUNCT
cana-4848	195	1	gaussian	gaussian	ADJ
cana-4848	195	2	filtering	filtering	NOUN
cana-4848	195	3	works	work	VERB
cana-4848	195	4	well	well	ADV
cana-4848	195	5	to	to	PART
cana-4848	195	6	reduce	reduce	VERB
cana-4848	195	7	noise	noise	NOUN
cana-4848	195	8	,	,	PUNCT
cana-4848	195	9	but	but	CCONJ
cana-4848	195	10	it	it	PRON
cana-4848	195	11	might	might	AUX
cana-4848	195	12	obscure	obscure	VERB
cana-4848	195	13	small	small	ADJ
cana-4848	195	14	details	detail	NOUN
cana-4848	195	15	in	in	ADP
cana-4848	195	16	images	image	NOUN
cana-4848	195	17	,	,	PUNCT
cana-4848	195	18	which	which	PRON
cana-4848	195	19	could	could	AUX
cana-4848	195	20	be	be	AUX
cana-4848	195	21	important	important	ADJ
cana-4848	195	22	for	for	ADP
cana-4848	195	23	medical	medical	ADJ
cana-4848	195	24	research	research	NOUN
cana-4848	195	25	.	.	PUNCT
cana-4848	196	1	sohaib	sohaib	PROPN
cana-4848	196	2	asif	asif	NOUN
cana-4848	196	3	and	and	CCONJ
cana-4848	196	4	others	other	NOUN
cana-4848	196	5	focused	focus	VERB
cana-4848	196	6	on	on	ADP
cana-4848	196	7	categorizing	categorize	VERB
cana-4848	196	8	brain	brain	NOUN
cana-4848	196	9	tumors	tumor	NOUN
cana-4848	196	10	into	into	ADP
cana-4848	196	11	three	three	NUM
cana-4848	196	12	and	and	CCONJ
cana-4848	196	13	to	to	PART
cana-4848	196	14	improve	improve	VERB
cana-4848	196	15	feature	feature	NOUN
cana-4848	196	16	extraction	extraction	NOUN
cana-4848	196	17	,	,	PUNCT
cana-4848	196	18	a	a	DET
cana-4848	196	19	deep	deep	ADJ
cana-4848	196	20	dense	dense	ADJ
cana-4848	196	21	block	block	NOUN
cana-4848	196	22	was	be	AUX
cana-4848	196	23	added	add	VERB
cana-4848	196	24	to	to	ADP
cana-4848	196	25	the	the	DET
cana-4848	196	26	base	base	ADJ
cana-4848	196	27	accuracy	accuracy	NOUN
cana-4848	196	28	of	of	ADP
cana-4848	196	29	99.67	99.67	NUM
cana-4848	196	30	%	%	NOUN
cana-4848	196	31	for	for	ADP
cana-4848	196	32	three	three	NUM
cana-4848	196	33	-	-	PUNCT
cana-4848	196	34	class	class	NOUN
cana-4848	196	35	classification	classification	NOUN
cana-4848	196	36	and	and	CCONJ
cana-4848	196	37	95.87	95.87	NUM
cana-4848	196	38	%	%	NOUN
cana-4848	196	39	for	for	ADP
cana-4848	196	40	fourperformance	fourperformance	NOUN
cana-4848	196	41	and	and	CCONJ
cana-4848	196	42	efficiency	efficiency	NOUN
cana-4848	196	43	may	may	AUX
cana-4848	196	44	suffer	suffer	VERB
cana-4848	196	45	if	if	SCONJ
cana-4848	196	46	redundant	redundant	ADJ
cana-4848	196	47	or	or	CCONJ
cana-4848	196	48	unnecessary	unnecessary	ADJ
cana-4848	196	49	features	feature	NOUN
cana-4848	196	50	are	be	AUX
cana-4848	196	51	communications	communication	NOUN
cana-4848	196	52	on	on	ADP
cana-4848	196	53	applied	apply	VERB
cana-4848	196	54	nonlinear	nonlinear	ADJ
cana-4848	196	55	analysis	analysis	NOUN
cana-4848	196	56	issn	issn	NOUN
cana-4848	196	57	:	:	PUNCT
cana-4848	196	58	1074	1074	NUM
cana-4848	196	59	-	-	PUNCT
cana-4848	196	60	133x	133x	NUM
cana-4848	196	61	vol	vol	VERB
cana-4848	196	62	32	32	NUM
cana-4848	196	63	no	no	NOUN
cana-4848	196	64	.	.	PUNCT
cana-4848	197	1	10s	10	NOUN
cana-4848	197	2	(	(	PUNCT
cana-4848	197	3	2025	2025	NUM
cana-4848	197	4	)	)	PUNCT
cana-4848	197	5	589	589	NUM
cana-4848	197	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4848	197	7	four	four	NUM
cana-4848	197	8	different	different	ADJ
cana-4848	197	9	classes	class	NOUN
cana-4848	197	10	[	[	X
cana-4848	197	11	8	8	NUM
cana-4848	197	12	]	]	PUNCT
cana-4848	197	13	.	.	PUNCT
cana-4848	198	1	designs	design	NOUN
cana-4848	198	2	.	.	PUNCT
cana-4848	199	1	a	a	DET
cana-4848	199	2	softmax	softmax	NOUN
cana-4848	199	3	layer	layer	NOUN
cana-4848	199	4	was	be	AUX
cana-4848	199	5	added	add	VERB
cana-4848	199	6	for	for	ADP
cana-4848	199	7	efficient	efficient	ADJ
cana-4848	199	8	multi	multi	ADJ
cana-4848	199	9	-	-	ADJ
cana-4848	199	10	class	class	ADJ
cana-4848	199	11	categorization	categorization	NOUN
cana-4848	199	12	.	.	PUNCT
cana-4848	200	1	class	class	NOUN
cana-4848	200	2	classification	classification	NOUN
cana-4848	200	3	were	be	AUX
cana-4848	200	4	attained	attain	VERB
cana-4848	200	5	.	.	PUNCT
cana-4848	201	1	introduced	introduce	VERB
cana-4848	201	2	by	by	ADP
cana-4848	201	3	combining	combine	VERB
cana-4848	201	4	the	the	DET
cana-4848	201	5	outputs	output	NOUN
cana-4848	201	6	from	from	ADP
cana-4848	201	7	all	all	DET
cana-4848	201	8	earlier	early	ADJ
cana-4848	201	9	stages	stage	NOUN
cana-4848	201	10	.	.	PUNCT
cana-4848	202	1	mohammed	mohammed	PROPN
cana-4848	202	2	h.	h.	PROPN
cana-4848	202	3	aljammas	aljammas	PROPN
cana-4848	202	4	and	and	CCONJ
cana-4848	202	5	others	other	NOUN
cana-4848	202	6	utilized	utilize	VERB
cana-4848	202	7	a	a	DET
cana-4848	202	8	dataset	dataset	NOUN
cana-4848	202	9	of	of	ADP
cana-4848	202	10	4,976	4,976	NUM
cana-4848	202	11	samples	sample	NOUN
cana-4848	202	12	for	for	ADP
cana-4848	202	13	robust	robust	ADJ
cana-4848	202	14	training	training	NOUN
cana-4848	202	15	and	and	CCONJ
cana-4848	202	16	evaluation	evaluation	NOUN
cana-4848	203	1	[	[	X
cana-4848	203	2	9	9	NUM
cana-4848	203	3	]	]	PUNCT
cana-4848	203	4	focused	focus	VERB
cana-4848	203	5	on	on	ADP
cana-4848	203	6	achieving	achieve	VERB
cana-4848	203	7	accurate	accurate	ADJ
cana-4848	203	8	results	result	NOUN
cana-4848	203	9	in	in	ADP
cana-4848	203	10	brain	brain	NOUN
cana-4848	203	11	tumor	tumor	NOUN
cana-4848	203	12	detection	detection	NOUN
cana-4848	203	13	using	use	VERB
cana-4848	203	14	cnn	cnn	PROPN
cana-4848	203	15	.	.	PUNCT
cana-4848	204	1	achieved	achieve	VERB
cana-4848	204	2	a	a	DET
cana-4848	204	3	high	high	ADJ
cana-4848	204	4	accuracy	accuracy	NOUN
cana-4848	204	5	of	of	ADP
cana-4848	204	6	97.4	97.4	NUM
cana-4848	204	7	%	%	NOUN
cana-4848	204	8	.	.	PUNCT
cana-4848	205	1	use	use	VERB
cana-4848	205	2	a	a	DET
cana-4848	205	3	small	small	ADJ
cana-4848	205	4	dataset	dataset	NOUN
cana-4848	205	5	.	.	PUNCT
cana-4848	206	1	the	the	DET
cana-4848	206	2	model	model	NOUN
cana-4848	206	3	must	must	AUX
cana-4848	206	4	be	be	AUX
cana-4848	206	5	trained	train	VERB
cana-4848	206	6	using	use	VERB
cana-4848	206	7	a	a	DET
cana-4848	206	8	variety	variety	NOUN
cana-4848	206	9	of	of	ADP
cana-4848	206	10	datasets	dataset	NOUN
cana-4848	206	11	.	.	PUNCT
cana-4848	207	1	kamini	kamini	PROPN
cana-4848	207	2	lamba	lamba	PROPN
cana-4848	207	3	and	and	CCONJ
cana-4848	207	4	others	other	NOUN
cana-4848	207	5	focused	focus	VERB
cana-4848	207	6	on	on	ADP
cana-4848	207	7	developing	develop	VERB
cana-4848	207	8	an	an	DET
cana-4848	207	9	automated	automate	VERB
cana-4848	207	10	system	system	NOUN
cana-4848	207	11	for	for	ADP
cana-4848	207	12	diagnosing	diagnose	VERB
cana-4848	207	13	brain	brain	NOUN
cana-4848	207	14	malignancies	malignancy	NOUN
cana-4848	207	15	using	use	VERB
cana-4848	207	16	publicly	publicly	ADV
cana-4848	207	17	available	available	ADJ
cana-4848	207	18	mri	mri	NOUN
cana-4848	207	19	datasets	dataset	NOUN
cana-4848	207	20	[	[	X
cana-4848	207	21	10	10	NUM
cana-4848	207	22	]	]	PUNCT
cana-4848	207	23	.	.	PUNCT
cana-4848	208	1	to	to	PART
cana-4848	208	2	increase	increase	VERB
cana-4848	208	3	image	image	NOUN
cana-4848	208	4	size	size	NOUN
cana-4848	208	5	and	and	CCONJ
cana-4848	208	6	preserve	preserve	VERB
cana-4848	208	7	consistency	consistency	NOUN
cana-4848	208	8	throughout	throughout	ADP
cana-4848	208	9	the	the	DET
cana-4848	208	10	collection	collection	NOUN
cana-4848	208	11	,	,	PUNCT
cana-4848	208	12	data	datum	NOUN
cana-4848	208	13	augmentation	augmentation	NOUN
cana-4848	208	14	was	be	AUX
cana-4848	208	15	used	use	VERB
cana-4848	208	16	.	.	PUNCT
cana-4848	209	1	used	use	VERB
cana-4848	209	2	a	a	DET
cana-4848	209	3	16	16	NUM
cana-4848	209	4	-	-	PUNCT
cana-4848	209	5	layer	layer	NOUN
cana-4848	209	6	visual	visual	ADJ
cana-4848	209	7	geometry	geometry	NOUN
cana-4848	209	8	group	group	NOUN
cana-4848	209	9	(	(	PUNCT
cana-4848	209	10	vgg-16	vgg-16	NOUN
cana-4848	209	11	)	)	PUNCT
cana-4848	209	12	architecture	architecture	NOUN
cana-4848	209	13	for	for	ADP
cana-4848	209	14	transfer	transfer	NOUN
cana-4848	209	15	learning	learning	NOUN
cana-4848	209	16	.	.	PUNCT
cana-4848	210	1	98.87	98.87	NUM
cana-4848	210	2	%	%	NOUN
cana-4848	210	3	accuracy	accuracy	NOUN
cana-4848	210	4	was	be	AUX
cana-4848	210	5	attained	attain	VERB
cana-4848	210	6	.	.	PUNCT
cana-4848	211	1	recall	recall	PROPN
cana-4848	211	2	receives	receive	VERB
cana-4848	211	3	98.73	98.73	NUM
cana-4848	211	4	%	%	NOUN
cana-4848	211	5	and	and	CCONJ
cana-4848	211	6	precision	precision	NOUN
cana-4848	211	7	receives	receive	VERB
cana-4848	211	8	99.09	99.09	NUM
cana-4848	211	9	%	%	NOUN
cana-4848	211	10	accuracy	accuracy	NOUN
cana-4848	211	11	.	.	PUNCT
cana-4848	212	1	improper	improper	ADJ
cana-4848	212	2	augmentation	augmentation	NOUN
cana-4848	212	3	methods	method	NOUN
cana-4848	212	4	might	might	AUX
cana-4848	212	5	generate	generate	VERB
cana-4848	212	6	biases	bias	NOUN
cana-4848	212	7	or	or	CCONJ
cana-4848	212	8	artifacts	artifact	NOUN
cana-4848	212	9	that	that	PRON
cana-4848	212	10	are	be	AUX
cana-4848	212	11	absent	absent	ADJ
cana-4848	212	12	from	from	ADP
cana-4848	212	13	realworld	realworld	PROPN
cana-4848	212	14	data	data	PROPN
cana-4848	212	15	.	.	PUNCT
cana-4848	213	1	shenbagarajan	shenbagarajan	PROPN
cana-4848	213	2	anantharajan	anantharajan	NOUN
cana-4848	213	3	and	and	CCONJ
cana-4848	213	4	others	other	NOUN
cana-4848	213	5	developed	develop	VERB
cana-4848	213	6	a	a	DET
cana-4848	213	7	system	system	NOUN
cana-4848	213	8	to	to	PART
cana-4848	213	9	classify	classify	VERB
cana-4848	213	10	normal	normal	ADJ
cana-4848	213	11	and	and	CCONJ
cana-4848	213	12	abnormal	abnormal	ADJ
cana-4848	213	13	brain	brain	NOUN
cana-4848	213	14	tissues	tissue	NOUN
cana-4848	213	15	from	from	ADP
cana-4848	213	16	mri	mri	NOUN
cana-4848	213	17	images	image	NOUN
cana-4848	213	18	[	[	X
cana-4848	213	19	11	11	NUM
cana-4848	213	20	]	]	PUNCT
cana-4848	213	21	.	.	PUNCT
cana-4848	214	1	preprocessed	preprocesse	VERB
cana-4848	214	2	mri	mri	NOUN
cana-4848	214	3	images	image	NOUN
cana-4848	214	4	were	be	AUX
cana-4848	214	5	segmented	segment	VERB
cana-4848	214	6	using	use	VERB
cana-4848	214	7	fuzzy	fuzzy	ADJ
cana-4848	214	8	c	c	NOUN
cana-4848	214	9	-	-	PUNCT
cana-4848	214	10	means	means	NOUN
cana-4848	214	11	(	(	PUNCT
cana-4848	214	12	fcm	fcm	PROPN
cana-4848	214	13	)	)	PUNCT
cana-4848	214	14	.	.	PUNCT
cana-4848	215	1	proposed	propose	VERB
cana-4848	215	2	the	the	DET
cana-4848	215	3	classifier	classifier	NOUN
cana-4848	215	4	ednsvm	ednsvm	PROPN
cana-4848	215	5	.	.	PUNCT
cana-4848	216	1	achieved	achieve	VERB
cana-4848	216	2	accuracy	accuracy	NOUN
cana-4848	216	3	of	of	ADP
cana-4848	216	4	97.93	97.93	NUM
cana-4848	216	5	%	%	NOUN
cana-4848	216	6	.	.	PUNCT
cana-4848	217	1	extracted	extract	VERB
cana-4848	217	2	features	feature	NOUN
cana-4848	217	3	using	use	VERB
cana-4848	217	4	glcm	glcm	NOUN
cana-4848	217	5	,	,	PUNCT
cana-4848	217	6	fcm	fcm	X
cana-4848	217	7	is	be	AUX
cana-4848	217	8	highly	highly	ADV
cana-4848	217	9	sensitive	sensitive	ADJ
cana-4848	217	10	to	to	PART
cana-4848	217	11	noise	noise	VERB
cana-4848	217	12	such	such	ADJ
cana-4848	217	13	as	as	ADP
cana-4848	217	14	motion	motion	NOUN
cana-4848	217	15	blur	blur	NOUN
cana-4848	217	16	and	and	CCONJ
cana-4848	217	17	intensity	intensity	NOUN
cana-4848	217	18	inhomogeneity	inhomogeneity	PROPN
cana-4848	217	19	monika	monika	PROPN
cana-4848	217	20	agarwal	agarwal	PROPN
cana-4848	217	21	and	and	CCONJ
cana-4848	217	22	others	other	NOUN
cana-4848	217	23	tested	test	VERB
cana-4848	217	24	on	on	ADP
cana-4848	217	25	the	the	DET
cana-4848	217	26	openly	openly	ADV
cana-4848	217	27	accessible	accessible	ADJ
cana-4848	217	28	figshare	figshare	NOUN
cana-4848	217	29	database	database	NOUN
cana-4848	217	30	for	for	ADP
cana-4848	217	31	validation	validation	NOUN
cana-4848	217	32	[	[	X
cana-4848	217	33	12	12	NUM
cana-4848	217	34	]	]	PUNCT
cana-4848	217	35	.	.	PUNCT
cana-4848	218	1	low	low	ADJ
cana-4848	218	2	-	-	PUNCT
cana-4848	218	3	contrast	contrast	NOUN
cana-4848	218	4	mri	mri	NOUN
cana-4848	218	5	images	image	NOUN
cana-4848	218	6	were	be	AUX
cana-4848	218	7	improved	improve	VERB
cana-4848	218	8	using	use	VERB
cana-4848	218	9	odtwche	odtwche	NOUN
cana-4848	218	10	used	use	VERB
cana-4848	218	11	the	the	DET
cana-4848	218	12	pre	pre	ADJ
cana-4848	218	13	-	-	ADJ
cana-4848	218	14	trained	train	VERB
cana-4848	218	15	model	model	NOUN
cana-4848	218	16	from	from	ADP
cana-4848	218	17	inception	inception	PROPN
cana-4848	218	18	v3	v3	PROPN
cana-4848	218	19	to	to	PART
cana-4848	218	20	automatically	automatically	ADV
cana-4848	218	21	extract	extract	VERB
cana-4848	218	22	both	both	DET
cana-4848	218	23	low	low	ADJ
cana-4848	218	24	-	-	PUNCT
cana-4848	218	25	level	level	NOUN
cana-4848	218	26	and	and	CCONJ
cana-4848	218	27	high	high	ADJ
cana-4848	218	28	-	-	PUNCT
cana-4848	218	29	level	level	NOUN
cana-4848	218	30	features	feature	NOUN
cana-4848	218	31	.	.	PUNCT
cana-4848	219	1	efficiently	efficiently	ADV
cana-4848	219	2	handles	handle	VERB
cana-4848	219	3	lowcontrast	lowcontrast	NOUN
cana-4848	219	4	mri	mri	NOUN
cana-4848	219	5	images	image	NOUN
cana-4848	219	6	,	,	PUNCT
cana-4848	219	7	improving	improve	VERB
cana-4848	219	8	diagnostic	diagnostic	ADJ
cana-4848	219	9	accuracy	accuracy	NOUN
cana-4848	219	10	and	and	CCONJ
cana-4848	219	11	reliability	reliability	NOUN
cana-4848	219	12	.	.	PUNCT
cana-4848	220	1	odtwche	odtwche	NOUN
cana-4848	220	2	does	do	AUX
cana-4848	220	3	n't	not	PART
cana-4848	220	4	specifically	specifically	ADV
cana-4848	220	5	address	address	VERB
cana-4848	220	6	noise	noise	NOUN
cana-4848	220	7	reduction	reduction	NOUN
cana-4848	220	8	,	,	PUNCT
cana-4848	220	9	it	it	PRON
cana-4848	220	10	performs	perform	VERB
cana-4848	220	11	less	less	ADV
cana-4848	220	12	well	well	ADV
cana-4848	220	13	on	on	ADP
cana-4848	220	14	images	image	NOUN
cana-4848	220	15	with	with	ADP
cana-4848	220	16	a	a	DET
cana-4848	220	17	lot	lot	NOUN
cana-4848	220	18	of	of	ADP
cana-4848	220	19	noise	noise	NOUN
cana-4848	220	20	.	.	PUNCT
cana-4848	221	1	communications	communication	NOUN
cana-4848	221	2	on	on	ADP
cana-4848	221	3	applied	apply	VERB
cana-4848	221	4	nonlinear	nonlinear	ADJ
cana-4848	221	5	analysis	analysis	NOUN
cana-4848	221	6	issn	issn	NOUN
cana-4848	221	7	:	:	PUNCT
cana-4848	221	8	1074	1074	NUM
cana-4848	221	9	-	-	PUNCT
cana-4848	221	10	133x	133x	NUM
cana-4848	221	11	vol	vol	VERB
cana-4848	221	12	32	32	NUM
cana-4848	221	13	no	no	NOUN
cana-4848	221	14	.	.	PUNCT
cana-4848	222	1	10s	10	NOUN
cana-4848	222	2	(	(	PUNCT
cana-4848	222	3	2025	2025	NUM
cana-4848	222	4	)	)	PUNCT
cana-4848	222	5	590	590	NUM
cana-4848	222	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4848	222	7	tripty	tripty	ADJ
cana-4848	222	8	singh	singh	NOUN
cana-4848	222	9	and	and	CCONJ
cana-4848	222	10	others	other	NOUN
cana-4848	222	11	proposed	propose	VERB
cana-4848	222	12	brainnet	brainnet	PROPN
cana-4848	222	13	,	,	PUNCT
cana-4848	222	14	a	a	DET
cana-4848	222	15	cnn	cnn	NOUN
cana-4848	222	16	architecture	architecture	NOUN
cana-4848	222	17	tailored	tailor	VERB
cana-4848	222	18	for	for	ADP
cana-4848	222	19	classifying	classify	VERB
cana-4848	222	20	brain	brain	NOUN
cana-4848	222	21	tumors	tumor	NOUN
cana-4848	222	22	into	into	ADP
cana-4848	222	23	distinct	distinct	ADJ
cana-4848	222	24	categories	category	NOUN
cana-4848	223	1	[	[	X
cana-4848	223	2	14	14	NUM
cana-4848	223	3	]	]	X
cana-4848	223	4	a	a	DET
cana-4848	223	5	custom	custom	NOUN
cana-4848	223	6	cnn	cnn	PROPN
cana-4848	223	7	architecture	architecture	NOUN
cana-4848	223	8	designed	design	VERB
cana-4848	223	9	specifically	specifically	ADV
cana-4848	223	10	for	for	ADP
cana-4848	223	11	brain	brain	NOUN
cana-4848	223	12	tumor	tumor	NOUN
cana-4848	223	13	classification	classification	NOUN
cana-4848	223	14	into	into	ADP
cana-4848	223	15	distinct	distinct	ADJ
cana-4848	223	16	categories	category	NOUN
cana-4848	223	17	.	.	PUNCT
cana-4848	224	1	achieved	achieve	VERB
cana-4848	224	2	99.96	99.96	NUM
cana-4848	224	3	%	%	NOUN
cana-4848	224	4	training	training	NOUN
cana-4848	224	5	accuracy	accuracy	NOUN
cana-4848	224	6	and	and	CCONJ
cana-4848	224	7	97.71	97.71	NUM
cana-4848	224	8	%	%	NOUN
cana-4848	224	9	testing	testing	NOUN
cana-4848	224	10	accuracy	accuracy	NOUN
cana-4848	224	11	make	make	VERB
cana-4848	224	12	use	use	NOUN
cana-4848	224	13	of	of	ADP
cana-4848	224	14	a	a	DET
cana-4848	224	15	limited	limited	ADJ
cana-4848	224	16	dataset	dataset	NOUN
cana-4848	224	17	.	.	PUNCT
cana-4848	225	1	a	a	DET
cana-4848	225	2	range	range	NOUN
cana-4848	225	3	of	of	ADP
cana-4848	225	4	datasets	dataset	NOUN
cana-4848	225	5	must	must	AUX
cana-4848	225	6	be	be	AUX
cana-4848	225	7	used	use	VERB
cana-4848	225	8	to	to	PART
cana-4848	225	9	train	train	VERB
cana-4848	225	10	the	the	DET
cana-4848	225	11	model	model	NOUN
cana-4848	225	12	.	.	PUNCT
cana-4848	226	1	among	among	ADP
cana-4848	226	2	others	other	NOUN
cana-4848	226	3	,	,	PUNCT
cana-4848	226	4	t.	t.	PROPN
cana-4848	226	5	lakshmi	lakshmi	PROPN
cana-4848	226	6	prasanthi	prasanthi	VERB
cana-4848	226	7	concentrate	concentrate	NOUN
cana-4848	226	8	on	on	ADP
cana-4848	226	9	assessing	assess	VERB
cana-4848	226	10	how	how	SCONJ
cana-4848	226	11	well	well	ADV
cana-4848	226	12	various	various	ADJ
cana-4848	226	13	dlmodels	dlmodel	NOUN
cana-4848	226	14	perform	perform	VERB
cana-4848	226	15	in	in	ADP
cana-4848	226	16	identifying	identify	VERB
cana-4848	226	17	brain	brain	NOUN
cana-4848	226	18	cancers	cancer	NOUN
cana-4848	226	19	using	use	VERB
cana-4848	226	20	mri	mri	NOUN
cana-4848	226	21	data	datum	NOUN
cana-4848	226	22	.	.	PUNCT
cana-4848	227	1	[	[	X
cana-4848	227	2	15	15	NUM
cana-4848	227	3	]	]	PUNCT
cana-4848	227	4	.	.	PUNCT
cana-4848	228	1	comparing	compare	VERB
cana-4848	228	2	precision	precision	NOUN
cana-4848	228	3	rates	rate	NOUN
cana-4848	228	4	across	across	ADP
cana-4848	228	5	cnn	cnn	PROPN
cana-4848	228	6	,	,	PUNCT
cana-4848	228	7	vgg19	vgg19	PROPN
cana-4848	228	8	,	,	PUNCT
cana-4848	228	9	inceptionresnetv2	inceptionresnetv2	PROPN
cana-4848	228	10	,	,	PUNCT
cana-4848	228	11	densenet121	densenet121	PROPN
cana-4848	228	12	,	,	PUNCT
cana-4848	228	13	and	and	CCONJ
cana-4848	228	14	efficient	efficient	ADJ
cana-4848	228	15	net	net	ADJ
cana-4848	228	16	b7	b7	PROPN
cana-4848	228	17	.	.	PUNCT
cana-4848	229	1	the	the	DET
cana-4848	229	2	innovative	innovative	ADJ
cana-4848	229	3	cnnbased	cnnbase	VERB
cana-4848	229	4	model	model	NOUN
cana-4848	229	5	developed	develop	VERB
cana-4848	229	6	in	in	ADP
cana-4848	229	7	the	the	DET
cana-4848	229	8	study	study	NOUN
cana-4848	229	9	achieved	achieve	VERB
cana-4848	229	10	96.63	96.63	NUM
cana-4848	229	11	%	%	NOUN
cana-4848	229	12	precision	precision	NOUN
cana-4848	229	13	,	,	PUNCT
cana-4848	229	14	indicating	indicate	VERB
cana-4848	229	15	a	a	DET
cana-4848	229	16	high	high	ADJ
cana-4848	229	17	level	level	NOUN
cana-4848	229	18	of	of	ADP
cana-4848	229	19	accuracy	accuracy	NOUN
cana-4848	229	20	in	in	ADP
cana-4848	229	21	diagnosing	diagnose	VERB
cana-4848	229	22	brain	brain	NOUN
cana-4848	229	23	tumors	tumor	NOUN
cana-4848	229	24	.	.	PUNCT
cana-4848	230	1	the	the	DET
cana-4848	230	2	model	model	NOUN
cana-4848	230	3	's	's	PART
cana-4848	230	4	accuracy	accuracy	NOUN
cana-4848	230	5	has	have	VERB
cana-4848	230	6	to	to	PART
cana-4848	230	7	be	be	AUX
cana-4848	230	8	increased	increase	VERB
cana-4848	230	9	.	.	PUNCT
cana-4848	231	1	two	two	NUM
cana-4848	231	2	public	public	ADJ
cana-4848	231	3	datasets	dataset	NOUN
cana-4848	231	4	of	of	ADP
cana-4848	231	5	4600	4600	NUM
cana-4848	231	6	and	and	CCONJ
cana-4848	231	7	253	253	NUM
cana-4848	231	8	brain	brain	NOUN
cana-4848	231	9	pictures	picture	NOUN
cana-4848	231	10	were	be	AUX
cana-4848	231	11	used	use	VERB
cana-4848	231	12	for	for	ADP
cana-4848	231	13	testing	testing	NOUN
cana-4848	231	14	by	by	ADP
cana-4848	231	15	chandni	chandni	PROPN
cana-4848	231	16	,	,	PUNCT
cana-4848	231	17	monika	monika	PROPN
cana-4848	231	18	sachdeva	sachdeva	PROPN
cana-4848	231	19	,	,	PUNCT
cana-4848	231	20	and	and	CCONJ
cana-4848	231	21	others	other	NOUN
cana-4848	232	1	[	[	X
cana-4848	232	2	17	17	NUM
cana-4848	232	3	]	]	PUNCT
cana-4848	232	4	.	.	PUNCT
cana-4848	233	1	the	the	DET
cana-4848	233	2	suggested	suggest	VERB
cana-4848	233	3	approach	approach	NOUN
cana-4848	233	4	incorporates	incorporate	VERB
cana-4848	233	5	the	the	DET
cana-4848	233	6	advantages	advantage	NOUN
cana-4848	233	7	of	of	ADP
cana-4848	233	8	residual	residual	ADJ
cana-4848	233	9	connections	connection	NOUN
cana-4848	233	10	and	and	CCONJ
cana-4848	233	11	inception	inception	NOUN
cana-4848	233	12	modules	module	NOUN
cana-4848	233	13	,	,	PUNCT
cana-4848	233	14	which	which	PRON
cana-4848	233	15	enable	enable	VERB
cana-4848	233	16	efficient	efficient	ADJ
cana-4848	233	17	feature	feature	NOUN
cana-4848	233	18	extraction	extraction	NOUN
cana-4848	233	19	and	and	CCONJ
cana-4848	233	20	categorization	categorization	NOUN
cana-4848	233	21	of	of	ADP
cana-4848	233	22	medical	medical	ADJ
cana-4848	233	23	images	image	NOUN
cana-4848	233	24	.	.	PUNCT
cana-4848	234	1	obtaining	obtain	VERB
cana-4848	234	2	a	a	DET
cana-4848	234	3	classification	classification	NOUN
cana-4848	234	4	accuracy	accuracy	NOUN
cana-4848	234	5	of	of	ADP
cana-4848	234	6	more	more	ADJ
cana-4848	234	7	than	than	ADP
cana-4848	234	8	99	99	NUM
cana-4848	234	9	%	%	NOUN
cana-4848	234	10	overall	overall	ADJ
cana-4848	234	11	.	.	PUNCT
cana-4848	235	1	it	it	PRON
cana-4848	235	2	requires	require	VERB
cana-4848	235	3	highly	highly	ADV
cana-4848	235	4	computational	computational	ADJ
cana-4848	235	5	powers	power	NOUN
cana-4848	235	6	and	and	CCONJ
cana-4848	235	7	difficult	difficult	ADJ
cana-4848	235	8	to	to	PART
cana-4848	235	9	integrate	integrate	VERB
cana-4848	235	10	with	with	ADP
cana-4848	235	11	images	image	NOUN
cana-4848	235	12	.	.	PUNCT
cana-4848	236	1	sultanpure	sultanpure	PROPN
cana-4848	236	2	,	,	PUNCT
cana-4848	236	3	kavita	kavita	PROPN
cana-4848	236	4	a.	a.	PROPN
cana-4848	236	5	,	,	PUNCT
cana-4848	236	6	and	and	CCONJ
cana-4848	236	7	others	other	NOUN
cana-4848	236	8	centered	center	VERB
cana-4848	236	9	on	on	ADP
cana-4848	236	10	comparing	compare	VERB
cana-4848	236	11	various	various	ADJ
cana-4848	236	12	machine	machine	NOUN
cana-4848	236	13	learning	learning	NOUN
cana-4848	236	14	models	model	NOUN
cana-4848	236	15	for	for	ADP
cana-4848	236	16	classifying	classify	VERB
cana-4848	236	17	brain	brain	NOUN
cana-4848	236	18	tumors	tumor	NOUN
cana-4848	236	19	and	and	CCONJ
cana-4848	236	20	using	use	VERB
cana-4848	236	21	cloud	cloud	NOUN
cana-4848	236	22	storage	storage	NOUN
cana-4848	236	23	for	for	ADP
cana-4848	236	24	image	image	NOUN
cana-4848	236	25	processing	processing	NOUN
cana-4848	236	26	[	[	X
cana-4848	236	27	19	19	NUM
cana-4848	236	28	]	]	PUNCT
cana-4848	236	29	.	.	PUNCT
cana-4848	237	1	pso	pso	NOUN
cana-4848	237	2	algorithm	algorithm	NOUN
cana-4848	237	3	was	be	AUX
cana-4848	237	4	employed	employ	VERB
cana-4848	237	5	for	for	ADP
cana-4848	237	6	feature	feature	NOUN
cana-4848	237	7	selection	selection	NOUN
cana-4848	237	8	.	.	PUNCT
cana-4848	238	1	employs	employ	VERB
cana-4848	238	2	extreme	extreme	ADJ
cana-4848	238	3	learning	learning	NOUN
cana-4848	238	4	machines	machine	NOUN
cana-4848	238	5	(	(	PUNCT
cana-4848	238	6	elm	elm	PROPN
cana-4848	238	7	)	)	PUNCT
cana-4848	238	8	,	,	PUNCT
cana-4848	238	9	svm	svm	PROPN
cana-4848	238	10	,	,	PUNCT
cana-4848	238	11	and	and	CCONJ
cana-4848	238	12	cnns	cnn	NOUN
cana-4848	238	13	for	for	ADP
cana-4848	238	14	classification	classification	NOUN
cana-4848	238	15	.	.	PUNCT
cana-4848	239	1	cnns	cnns	PROPN
cana-4848	239	2	were	be	AUX
cana-4848	239	3	more	more	ADV
cana-4848	239	4	accurate	accurate	ADJ
cana-4848	239	5	at	at	ADP
cana-4848	239	6	detecting	detect	VERB
cana-4848	239	7	brain	brain	NOUN
cana-4848	239	8	cancers	cancer	NOUN
cana-4848	239	9	.	.	PUNCT
cana-4848	240	1	pso	pso	NOUN
cana-4848	240	2	is	be	AUX
cana-4848	240	3	sensitive	sensitive	ADJ
cana-4848	240	4	to	to	ADP
cana-4848	240	5	hyper	hyper	ADJ
cana-4848	240	6	parameters	parameter	NOUN
cana-4848	240	7	and	and	CCONJ
cana-4848	240	8	it	it	PRON
cana-4848	240	9	is	be	AUX
cana-4848	240	10	difficult	difficult	ADJ
cana-4848	240	11	to	to	PART
cana-4848	240	12	handle	handle	VERB
cana-4848	240	13	large	large	ADJ
cana-4848	240	14	dataset	dataset	NOUN
cana-4848	240	15	.	.	PUNCT
cana-4848	241	1	islam	islam	PROPN
cana-4848	241	2	,	,	PUNCT
cana-4848	241	3	md	md	PROPN
cana-4848	241	4	.	.	PUNCT
cana-4848	241	5	naim	naim	PROPN
cana-4848	241	6	,	,	PUNCT
cana-4848	241	7	and	and	CCONJ
cana-4848	241	8	others	other	NOUN
cana-4848	241	9	centered	center	VERB
cana-4848	241	10	on	on	ADP
cana-4848	241	11	sophisticated	sophisticated	ADJ
cana-4848	241	12	machine	machine	NOUN
cana-4848	241	13	learning	learning	NOUN
cana-4848	241	14	and	and	CCONJ
cana-4848	241	15	deep	deep	ADJ
cana-4848	241	16	learning	learning	NOUN
cana-4848	241	17	methods	method	NOUN
cana-4848	241	18	for	for	ADP
cana-4848	241	19	brain	brain	NOUN
cana-4848	241	20	tumor	tumor	NOUN
cana-4848	241	21	detection	detection	NOUN
cana-4848	241	22	and	and	CCONJ
cana-4848	241	23	classification	classification	NOUN
cana-4848	241	24	[	[	X
cana-4848	241	25	20	20	NUM
cana-4848	241	26	]	]	PUNCT
cana-4848	241	27	.	.	PUNCT
cana-4848	242	1	to	to	PART
cana-4848	242	2	enhance	enhance	VERB
cana-4848	242	3	performance	performance	NOUN
cana-4848	242	4	,	,	PUNCT
cana-4848	242	5	fully	fully	ADV
cana-4848	242	6	connected	connected	ADJ
cana-4848	242	7	layers	layer	NOUN
cana-4848	242	8	were	be	AUX
cana-4848	242	9	added	add	VERB
cana-4848	242	10	to	to	ADP
cana-4848	242	11	the	the	DET
cana-4848	242	12	cnn	cnn	PROPN
cana-4848	242	13	and	and	CCONJ
cana-4848	242	14	cnnlstm	cnnlstm	NOUN
cana-4848	242	15	models	model	NOUN
cana-4848	242	16	.	.	PUNCT
cana-4848	243	1	the	the	DET
cana-4848	243	2	ensemble	ensemble	ADJ
cana-4848	243	3	model	model	NOUN
cana-4848	243	4	achieved	achieve	VERB
cana-4848	243	5	overall	overall	ADJ
cana-4848	243	6	accuracy	accuracy	NOUN
cana-4848	243	7	98.82	98.82	NUM
cana-4848	243	8	%	%	NOUN
cana-4848	243	9	and	and	CCONJ
cana-4848	243	10	precision	precision	NOUN
cana-4848	243	11	:	:	PUNCT
cana-4848	243	12	99	99	NUM
cana-4848	243	13	%	%	NOUN
cana-4848	243	14	.	.	PUNCT
cana-4848	244	1	this	this	DET
cana-4848	244	2	model	model	NOUN
cana-4848	244	3	is	be	AUX
cana-4848	244	4	difficult	difficult	ADJ
cana-4848	244	5	in	in	ADP
cana-4848	244	6	the	the	DET
cana-4848	244	7	optimization	optimization	NOUN
cana-4848	244	8	and	and	CCONJ
cana-4848	244	9	reduces	reduce	VERB
cana-4848	244	10	interpretability	interpretability	NOUN
cana-4848	244	11	.	.	PUNCT
cana-4848	245	1	communications	communication	NOUN
cana-4848	245	2	on	on	ADP
cana-4848	245	3	applied	apply	VERB
cana-4848	245	4	nonlinear	nonlinear	ADJ
cana-4848	245	5	analysis	analysis	NOUN
cana-4848	245	6	issn	issn	NOUN
cana-4848	245	7	:	:	PUNCT
cana-4848	245	8	1074	1074	NUM
cana-4848	245	9	-	-	PUNCT
cana-4848	245	10	133x	133x	NUM
cana-4848	245	11	vol	vol	VERB
cana-4848	245	12	32	32	NUM
cana-4848	245	13	no	no	NOUN
cana-4848	245	14	.	.	PUNCT
cana-4848	246	1	10s	10	NOUN
cana-4848	246	2	(	(	PUNCT
cana-4848	246	3	2025	2025	NUM
cana-4848	246	4	)	)	PUNCT
cana-4848	246	5	591	591	NUM
cana-4848	246	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4848	246	7	rita	rita	PROPN
cana-4848	246	8	appiah	appiah	PROPN
cana-4848	246	9	as	as	ADV
cana-4848	246	10	well	well	ADV
cana-4848	246	11	as	as	ADP
cana-4848	246	12	other	other	ADJ
cana-4848	246	13	originally	originally	ADV
cana-4848	246	14	presented	present	VERB
cana-4848	246	15	the	the	DET
cana-4848	246	16	use	use	NOUN
cana-4848	246	17	of	of	ADP
cana-4848	246	18	pod	pod	NOUN
cana-4848	246	19	and	and	CCONJ
cana-4848	246	20	cnn	cnn	NOUN
cana-4848	246	21	together	together	ADV
cana-4848	246	22	to	to	PART
cana-4848	246	23	detect	detect	VERB
cana-4848	246	24	brain	brain	NOUN
cana-4848	246	25	tumors	tumor	NOUN
cana-4848	246	26	[	[	X
cana-4848	246	27	21	21	NUM
cana-4848	246	28	]	]	PUNCT
cana-4848	246	29	.	.	PUNCT
cana-4848	247	1	pod	pod	PROPN
cana-4848	247	2	-	-	ADJ
cana-4848	247	3	cnn	cnn	PROPN
cana-4848	247	4	model	model	NOUN
cana-4848	247	5	was	be	AUX
cana-4848	247	6	designed	design	VERB
cana-4848	247	7	to	to	PART
cana-4848	247	8	improve	improve	VERB
cana-4848	247	9	the	the	DET
cana-4848	247	10	reliability	reliability	NOUN
cana-4848	247	11	and	and	CCONJ
cana-4848	247	12	accuracy	accuracy	NOUN
cana-4848	247	13	of	of	ADP
cana-4848	247	14	tumor	tumor	NOUN
cana-4848	247	15	detection	detection	NOUN
cana-4848	247	16	,	,	PUNCT
cana-4848	247	17	especially	especially	ADV
cana-4848	247	18	with	with	ADP
cana-4848	247	19	minimal	minimal	ADJ
cana-4848	247	20	mri	mri	NOUN
cana-4848	247	21	scan	scan	PROPN
cana-4848	247	22	data	data	PROPN
cana-4848	247	23	.	.	PUNCT
cana-4848	248	1	conducted	conduct	VERB
cana-4848	248	2	a	a	DET
cana-4848	248	3	comparative	comparative	ADJ
cana-4848	248	4	analysis	analysis	NOUN
cana-4848	248	5	of	of	ADP
cana-4848	248	6	mobilenetv2	mobilenetv2	PROPN
cana-4848	248	7	,	,	PUNCT
cana-4848	248	8	inception	inception	NOUN
cana-4848	248	9	-	-	PUNCT
cana-4848	248	10	v3	v3	NOUN
cana-4848	248	11	,	,	PUNCT
cana-4848	248	12	resnet101	resnet101	PROPN
cana-4848	248	13	and	and	CCONJ
cana-4848	248	14	vgg-19	vgg-19	NUM
cana-4848	248	15	.	.	PUNCT
cana-4848	249	1	mobilenetv2	mobilenetv2	PROPN
cana-4848	249	2	was	be	AUX
cana-4848	249	3	identified	identify	VERB
cana-4848	249	4	as	as	ADP
cana-4848	249	5	the	the	DET
cana-4848	249	6	bestperforming	bestperforming	NOUN
cana-4848	249	7	model	model	NOUN
cana-4848	249	8	,	,	PUNCT
cana-4848	249	9	achieving	achieve	VERB
cana-4848	249	10	99.21	99.21	NUM
cana-4848	249	11	%	%	NOUN
cana-4848	249	12	accuracy	accuracy	NOUN
cana-4848	249	13	in	in	ADP
cana-4848	249	14	tumor	tumor	NOUN
cana-4848	249	15	detection	detection	NOUN
cana-4848	249	16	.	.	PUNCT
cana-4848	250	1	it	it	PRON
cana-4848	250	2	have	have	AUX
cana-4848	250	3	requires	require	VERB
cana-4848	250	4	high	high	ADJ
cana-4848	250	5	raining	raining	NOUN
cana-4848	250	6	time	time	NOUN
cana-4848	250	7	for	for	ADP
cana-4848	250	8	optimize	optimize	NOUN
cana-4848	250	9	model	model	NOUN
cana-4848	250	10	performance	performance	NOUN
cana-4848	250	11	.	.	PUNCT
cana-4848	251	1	6	6	X
cana-4848	251	2	.	.	X
cana-4848	251	3	conclusion	conclusion	NOUN
cana-4848	251	4	dl	dl	PROPN
cana-4848	251	5	has	have	AUX
cana-4848	251	6	emerged	emerge	VERB
cana-4848	251	7	as	as	ADP
cana-4848	251	8	a	a	DET
cana-4848	251	9	powerful	powerful	ADJ
cana-4848	251	10	model	model	NOUN
cana-4848	251	11	,	,	PUNCT
cana-4848	251	12	particularly	particularly	ADV
cana-4848	251	13	for	for	ADP
cana-4848	251	14	the	the	DET
cana-4848	251	15	detection	detection	NOUN
cana-4848	251	16	and	and	CCONJ
cana-4848	251	17	classification	classification	NOUN
cana-4848	251	18	of	of	ADP
cana-4848	251	19	brain	brain	NOUN
cana-4848	251	20	tumors	tumor	NOUN
cana-4848	251	21	.	.	PUNCT
cana-4848	252	1	in	in	ADP
cana-4848	252	2	this	this	DET
cana-4848	252	3	paper	paper	NOUN
cana-4848	252	4	we	we	PRON
cana-4848	252	5	discuss	discuss	VERB
cana-4848	252	6	about	about	ADP
cana-4848	252	7	detail	detail	NOUN
cana-4848	252	8	comparative	comparative	ADJ
cana-4848	252	9	analysis	analysis	NOUN
cana-4848	252	10	of	of	ADP
cana-4848	252	11	dl	dl	PROPN
cana-4848	252	12	model	model	NOUN
cana-4848	252	13	used	use	VERB
cana-4848	252	14	for	for	ADP
cana-4848	252	15	brain	brain	NOUN
cana-4848	252	16	tumors	tumor	NOUN
cana-4848	252	17	detection	detection	NOUN
cana-4848	252	18	.	.	PUNCT
cana-4848	253	1	cnn	cnn	PROPN
cana-4848	253	2	,	,	PUNCT
cana-4848	253	3	resnet152	resnet152	PROPN
cana-4848	253	4	,	,	PUNCT
cana-4848	253	5	vgg19	vgg19	PROPN
cana-4848	253	6	,	,	PUNCT
cana-4848	253	7	densenet169	densenet169	PROPN
cana-4848	253	8	,	,	PUNCT
cana-4848	253	9	and	and	CCONJ
cana-4848	253	10	mobilenetv3	mobilenetv3	PROPN
cana-4848	253	11	,	,	PUNCT
cana-4848	253	12	vgg-19	vgg-19	PROPN
cana-4848	253	13	,	,	PUNCT
cana-4848	253	14	svm	svm	PROPN
cana-4848	253	15	,	,	PUNCT
cana-4848	253	16	cnn	cnn	PROPN
cana-4848	253	17	lstm	lstm	NOUN
cana-4848	253	18	models	model	NOUN
cana-4848	253	19	applied	apply	VERB
cana-4848	253	20	successfully	successfully	ADV
cana-4848	253	21	for	for	ADP
cana-4848	253	22	detection	detection	NOUN
cana-4848	253	23	of	of	ADP
cana-4848	253	24	brain	brain	NOUN
cana-4848	253	25	tumors	tumor	NOUN
cana-4848	253	26	at	at	ADP
cana-4848	253	27	early	early	ADJ
cana-4848	253	28	stage	stage	NOUN
cana-4848	253	29	.	.	PUNCT
cana-4848	254	1	the	the	DET
cana-4848	254	2	absence	absence	NOUN
cana-4848	254	3	of	of	ADP
cana-4848	254	4	high	high	ADJ
cana-4848	254	5	-	-	PUNCT
cana-4848	254	6	quality	quality	NOUN
cana-4848	254	7	datasets	dataset	NOUN
cana-4848	254	8	,	,	PUNCT
cana-4848	254	9	model	model	NOUN
cana-4848	254	10	interpretation	interpretation	NOUN
cana-4848	254	11	,	,	PUNCT
cana-4848	254	12	and	and	CCONJ
cana-4848	254	13	variances	variance	NOUN
cana-4848	254	14	in	in	ADP
cana-4848	254	15	model	model	NOUN
cana-4848	254	16	performance	performance	NOUN
cana-4848	254	17	are	be	AUX
cana-4848	254	18	some	some	PRON
cana-4848	254	19	of	of	ADP
cana-4848	254	20	the	the	DET
cana-4848	254	21	difficulties	difficulty	NOUN
cana-4848	254	22	for	for	ADP
cana-4848	254	23	brain	brain	NOUN
cana-4848	254	24	tumors	tumor	NOUN
cana-4848	254	25	detection	detection	NOUN
cana-4848	254	26	.	.	PUNCT
cana-4848	255	1	dl	dl	PROPN
cana-4848	255	2	models	model	NOUN
cana-4848	255	3	have	have	VERB
cana-4848	255	4	a	a	DET
cana-4848	255	5	potential	potential	NOUN
cana-4848	255	6	to	to	PART
cana-4848	255	7	overcome	overcome	VERB
cana-4848	255	8	all	all	DET
cana-4848	255	9	the	the	DET
cana-4848	255	10	challenges	challenge	NOUN
cana-4848	255	11	and	and	CCONJ
cana-4848	255	12	helps	help	VERB
cana-4848	255	13	healthcare	healthcare	NOUN
cana-4848	255	14	professionals	professional	NOUN
cana-4848	255	15	for	for	ADP
cana-4848	255	16	higher	high	ADJ
cana-4848	255	17	accuracy	accuracy	NOUN
cana-4848	255	18	.	.	PUNCT
cana-4848	256	1	refrences	refrence	VERB
cana-4848	257	1	[	[	X
cana-4848	257	2	1	1	X
cana-4848	257	3	]	]	PUNCT
cana-4848	257	4	sandeep	sandeep	PROPN
cana-4848	257	5	kumar	kumar	PROPN
cana-4848	257	6	mathivanan	mathivanan	PROPN
cana-4848	257	7	,	,	PUNCT
cana-4848	257	8	sridevi	sridevi	NOUN
cana-4848	257	9	sonaimuthu	sonaimuthu	NOUN
cana-4848	257	10	,	,	PUNCT
cana-4848	257	11	sankar	sankar	NOUN
cana-4848	257	12	murugesan	murugesan	ADJ
cana-4848	257	13	and	and	CCONJ
cana-4848	257	14	other	other	ADJ
cana-4848	257	15	“	"	PUNCT
cana-4848	257	16	employing	employ	VERB
cana-4848	257	17	dland	dland	NOUN
cana-4848	257	18	transfer	transfer	NOUN
cana-4848	257	19	learning	learning	NOUN
cana-4848	257	20	for	for	ADP
cana-4848	257	21	accurate	accurate	ADJ
cana-4848	257	22	brain	brain	NOUN
cana-4848	257	23	tumor	tumor	NOUN
cana-4848	257	24	detection	detection	NOUN
cana-4848	257	25	”	"	PUNCT
cana-4848	257	26	nature	nature	NOUN
cana-4848	257	27	scientific	scientific	ADJ
cana-4848	257	28	report	report	NOUN
cana-4848	257	29	,	,	PUNCT
cana-4848	257	30	2024:147232	2024:147232	X
cana-4848	257	31	.	.	PUNCT
cana-4848	258	1	[	[	X
cana-4848	258	2	2	2	NUM
cana-4848	258	3	]	]	PUNCT
cana-4848	258	4	baiju	baiju	PROPN
cana-4848	258	5	babuvimala	babuvimala	PROPN
cana-4848	258	6	,	,	PUNCT
cana-4848	258	7	saravanan	saravanan	PROPN
cana-4848	258	8	srinivasan	srinivasan	PROPN
cana-4848	258	9	,	,	PUNCT
cana-4848	258	10	sandeep	sandeep	PROPN
cana-4848	258	11	kumar	kumar	PROPN
cana-4848	258	12	mathivanan	mathivanan	PROPN
cana-4848	258	13	,	,	PUNCT
cana-4848	258	14	mahalakshmi	mahalakshmi	PROPN
cana-4848	258	15	,	,	PUNCT
cana-4848	258	16	prabhu	prabhu	PROPN
cana-4848	258	17	jayagopal	jayagopal	PROPN
cana-4848	258	18	&	&	CCONJ
cana-4848	258	19	gemmachisteshite	gemmachisteshite	PROPN
cana-4848	258	20	dalu	dalu	NOUN
cana-4848	258	21	,	,	PUNCT
cana-4848	258	22	“	"	PUNCT
cana-4848	258	23	detection	detection	NOUN
cana-4848	258	24	and	and	CCONJ
cana-4848	258	25	classifcation	classifcation	NOUN
cana-4848	258	26	of	of	ADP
cana-4848	258	27	brain	brain	NOUN
cana-4848	258	28	tumor	tumor	NOUN
cana-4848	258	29	using	use	VERB
cana-4848	258	30	hybrid	hybrid	ADJ
cana-4848	258	31	dlmodels	dlmodel	NOUN
cana-4848	258	32	”	"	PUNCT
cana-4848	258	33	scientific	scientific	ADJ
cana-4848	258	34	reports	report	NOUN
cana-4848	258	35	,	,	PUNCT
cana-4848	258	36	(	(	PUNCT
cana-4848	258	37	2023	2023	NUM
cana-4848	258	38	)	)	PUNCT
cana-4848	258	39	13:23029	13:23029	PUNCT
cana-4848	258	40	.	.	PUNCT
cana-4848	259	1	[	[	X
cana-4848	259	2	3	3	X
cana-4848	259	3	]	]	X
cana-4848	259	4	praveen	praveen	PROPN
cana-4848	259	5	kumar	kumar	PROPN
cana-4848	259	6	ramtekkar	ramtekkar	PROPN
cana-4848	259	7	,	,	PUNCT
cana-4848	259	8	anjana	anjana	PROPN
cana-4848	259	9	pandey	pandey	PROPN
cana-4848	259	10	,	,	PUNCT
cana-4848	259	11	mahesh	mahesh	PROPN
cana-4848	259	12	kumar	kumar	PROPN
cana-4848	259	13	pawar	pawar	PROPN
cana-4848	259	14	“	"	PUNCT
cana-4848	259	15	innovative	innovative	ADJ
cana-4848	259	16	brain	brain	NOUN
cana-4848	259	17	tumor	tumor	NOUN
cana-4848	259	18	detection	detection	NOUN
cana-4848	259	19	using	use	VERB
cana-4848	259	20	optimized	optimize	VERB
cana-4848	259	21	dltechniques	dltechnique	NOUN
cana-4848	259	22	”	"	PUNCT
cana-4848	259	23	springer	springer	NOUN
cana-4848	259	24	2023,14(1):459–473	2023,14(1):459–473	NUM
cana-4848	259	25	.	.	PUNCT
cana-4848	260	1	[	[	X
cana-4848	260	2	4	4	X
cana-4848	260	3	]	]	X
cana-4848	260	4	soheila	soheila	PROPN
cana-4848	260	5	saeedi	saeedi	PROPN
cana-4848	260	6	,	,	PUNCT
cana-4848	260	7	sorayya	sorayya	PROPN
cana-4848	260	8	rezayi	rezayi	VERB
cana-4848	260	9	,	,	PUNCT
cana-4848	260	10	hamidreza	hamidreza	PROPN
cana-4848	260	11	keshavarz	keshavarz	PROPN
cana-4848	260	12	and	and	CCONJ
cana-4848	260	13	sharareh	sharareh	PROPN
cana-4848	260	14	r.	r.	PROPN
cana-4848	260	15	niakan	niakan	PROPN
cana-4848	260	16	kalhori	kalhori	PROPN
cana-4848	260	17	,	,	PUNCT
cana-4848	260	18	“	"	PUNCT
cana-4848	260	19	mribased	mribased	ADJ
cana-4848	260	20	brain	brain	NOUN
cana-4848	260	21	tumor	tumor	NOUN
cana-4848	260	22	detection	detection	NOUN
cana-4848	260	23	using	use	VERB
cana-4848	260	24	convolutional	convolutional	ADJ
cana-4848	260	25	dlmethods	dlmethod	NOUN
cana-4848	260	26	and	and	CCONJ
cana-4848	260	27	chosen	choose	VERB
cana-4848	260	28	machine	machine	NOUN
cana-4848	260	29	learning	learning	NOUN
cana-4848	260	30	techniques	technique	NOUN
cana-4848	260	31	”	"	PUNCT
cana-4848	260	32	bmc	bmc	PROPN
cana-4848	260	33	medical	medical	ADJ
cana-4848	260	34	informatics	informatic	NOUN
cana-4848	260	35	and	and	CCONJ
cana-4848	260	36	decision	decision	NOUN
cana-4848	260	37	making	making	NOUN
cana-4848	260	38	,	,	PUNCT
cana-4848	260	39	(	(	PUNCT
cana-4848	260	40	2023	2023	NUM
cana-4848	260	41	)	)	PUNCT
cana-4848	260	42	23:16	23:16	NUM
cana-4848	260	43	.	.	PUNCT
cana-4848	261	1	[	[	X
cana-4848	261	2	5	5	NUM
cana-4848	261	3	]	]	X
cana-4848	261	4	novsheena	novsheena	ADJ
cana-4848	261	5	rasool	rasool	PROPN
cana-4848	261	6	,	,	PUNCT
cana-4848	261	7	javaid	javaid	PROPN
cana-4848	261	8	iqbal	iqbal	PROPN
cana-4848	261	9	bhat	bhat	PROPN
cana-4848	261	10	,	,	PUNCT
cana-4848	261	11	”	"	PUNCT
cana-4848	261	12	brain	brain	NOUN
cana-4848	261	13	tumour	tumour	NOUN
cana-4848	261	14	detection	detection	NOUN
cana-4848	261	15	using	use	VERB
cana-4848	261	16	machine	machine	NOUN
cana-4848	261	17	and	and	CCONJ
cana-4848	261	18	deep	deep	ADJ
cana-4848	261	19	learning	learning	NOUN
cana-4848	261	20	:	:	PUNCT
cana-4848	261	21	a	a	DET
cana-4848	261	22	systematic	systematic	ADJ
cana-4848	261	23	review	review	NOUN
cana-4848	261	24	”	"	PUNCT
cana-4848	261	25	,	,	PUNCT
cana-4848	261	26	springer	springer	NOUN
cana-4848	261	27	multimedia	multimedia	NOUN
cana-4848	261	28	tools	tool	NOUN
cana-4848	261	29	and	and	CCONJ
cana-4848	261	30	applications	application	NOUN
cana-4848	261	31	,	,	PUNCT
cana-4848	261	32	2024	2024	NUM
cana-4848	261	33	[	[	X
cana-4848	261	34	6	6	NUM
cana-4848	261	35	]	]	PUNCT
cana-4848	261	36	k.	k.	PROPN
cana-4848	261	37	bhagyalaxmi	bhagyalaxmi	PROPN
cana-4848	261	38	,	,	PUNCT
cana-4848	261	39	b.	b.	PROPN
cana-4848	261	40	dwarakanath	dwarakanath	NOUN
cana-4848	261	41	,	,	PUNCT
cana-4848	261	42	p.	p.	PROPN
cana-4848	261	43	vijaya	vijaya	PROPN
cana-4848	261	44	pal	pal	PROPN
cana-4848	261	45	reddy	reddy	PROPN
cana-4848	261	46	“	"	PUNCT
cana-4848	261	47	dlfor	dlfor	ADP
cana-4848	261	48	multi	multi	ADJ
cana-4848	261	49	-	-	ADJ
cana-4848	261	50	grade	grade	ADJ
cana-4848	261	51	brain	brain	NOUN
cana-4848	261	52	tumor	tumor	NOUN
cana-4848	261	53	detection	detection	NOUN
cana-4848	261	54	and	and	CCONJ
cana-4848	261	55	classifcation	classifcation	NOUN
cana-4848	261	56	:	:	PUNCT
cana-4848	261	57	a	a	DET
cana-4848	261	58	prospective	prospective	ADJ
cana-4848	261	59	survey	survey	NOUN
cana-4848	261	60	”	"	PUNCT
cana-4848	261	61	springer	springer	NOUN
cana-4848	261	62	multimedia	multimedia	NOUN
cana-4848	261	63	tools	tool	NOUN
cana-4848	261	64	and	and	CCONJ
cana-4848	261	65	applications	application	NOUN
cana-4848	261	66	,	,	PUNCT
cana-4848	261	67	2024	2024	NUM
cana-4848	261	68	communications	communication	NOUN
cana-4848	261	69	on	on	ADP
cana-4848	261	70	applied	apply	VERB
cana-4848	261	71	nonlinear	nonlinear	ADJ
cana-4848	261	72	analysis	analysis	NOUN
cana-4848	261	73	issn	issn	NOUN
cana-4848	261	74	:	:	PUNCT
cana-4848	261	75	1074	1074	NUM
cana-4848	261	76	-	-	PUNCT
cana-4848	261	77	133x	133x	NUM
cana-4848	261	78	vol	vol	VERB
cana-4848	261	79	32	32	NUM
cana-4848	261	80	no	no	NOUN
cana-4848	261	81	.	.	PUNCT
cana-4848	262	1	10s	10	NOUN
cana-4848	262	2	(	(	PUNCT
cana-4848	262	3	2025	2025	NUM
cana-4848	262	4	)	)	PUNCT
cana-4848	262	5	592	592	NUM
cana-4848	262	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4848	263	1	[	[	X
cana-4848	263	2	7	7	X
cana-4848	263	3	]	]	X
cana-4848	263	4	praveen	praveen	PROPN
cana-4848	263	5	kumar	kumar	PROPN
cana-4848	263	6	ramtekkar	ramtekkar	PROPN
cana-4848	263	7	,	,	PUNCT
cana-4848	263	8	anjana	anjana	PROPN
cana-4848	263	9	pandey	pandey	PROPN
cana-4848	263	10	,	,	PUNCT
cana-4848	263	11	mahesh	mahesh	PROPN
cana-4848	263	12	kumar	kumar	PROPN
cana-4848	263	13	pawar	pawar	PROPN
cana-4848	263	14	“	"	PUNCT
cana-4848	263	15	accurate	accurate	ADJ
cana-4848	263	16	detection	detection	NOUN
cana-4848	263	17	of	of	ADP
cana-4848	263	18	brain	brain	NOUN
cana-4848	263	19	tumor	tumor	NOUN
cana-4848	263	20	using	use	VERB
cana-4848	263	21	optimized	optimize	VERB
cana-4848	263	22	feature	feature	NOUN
cana-4848	263	23	selection	selection	NOUN
cana-4848	263	24	based	base	VERB
cana-4848	263	25	on	on	ADP
cana-4848	263	26	dltechniques	dltechnique	NOUN
cana-4848	263	27	”	"	PUNCT
cana-4848	263	28	springer	springer	NOUN
cana-4848	263	29	multimedia	multimedia	NOUN
cana-4848	263	30	tools	tool	NOUN
cana-4848	263	31	and	and	CCONJ
cana-4848	263	32	applications	application	NOUN
cana-4848	263	33	(	(	PUNCT
cana-4848	263	34	2023	2023	NUM
cana-4848	263	35	)	)	PUNCT
cana-4848	263	36	82:44623–44653	82:44623–44653	NUM
cana-4848	263	37	.	.	PUNCT
cana-4848	264	1	[	[	X
cana-4848	264	2	8	8	NUM
cana-4848	264	3	]	]	PUNCT
cana-4848	264	4	sohaib	sohaib	NOUN
cana-4848	264	5	asif	asif	PROPN
cana-4848	264	6	,	,	PUNCT
cana-4848	264	7	ming	ming	PROPN
cana-4848	264	8	zhao	zhao	PROPN
cana-4848	264	9	,	,	PUNCT
cana-4848	264	10	fengxiao	fengxiao	NOUN
cana-4848	264	11	tang	tang	PROPN
cana-4848	264	12	,	,	PUNCT
cana-4848	264	13	yusen	yusen	PROPN
cana-4848	264	14	zhu	zhu	PROPN
cana-4848	264	15	“	"	PUNCT
cana-4848	264	16	an	an	DET
cana-4848	264	17	enhanced	enhanced	ADJ
cana-4848	264	18	dlmethod	dlmethod	NOUN
cana-4848	264	19	for	for	ADP
cana-4848	264	20	multi	multi	ADJ
cana-4848	264	21	-	-	ADJ
cana-4848	264	22	class	class	ADJ
cana-4848	264	23	brain	brain	NOUN
cana-4848	264	24	tumor	tumor	NOUN
cana-4848	264	25	classification	classification	NOUN
cana-4848	264	26	using	use	VERB
cana-4848	264	27	deep	deep	ADJ
cana-4848	264	28	transfer	transfer	NOUN
cana-4848	264	29	learning	learning	NOUN
cana-4848	264	30	”	"	PUNCT
cana-4848	264	31	springer	springer	NOUN
cana-4848	264	32	multimedia	multimedia	NOUN
cana-4848	264	33	tools	tool	NOUN
cana-4848	264	34	and	and	CCONJ
cana-4848	264	35	applications	application	NOUN
cana-4848	264	36	(	(	PUNCT
cana-4848	264	37	2023	2023	NUM
cana-4848	264	38	)	)	PUNCT
cana-4848	264	39	82:31709–31736	82:31709–31736	NUM
cana-4848	264	40	.	.	PUNCT
cana-4848	265	1	[	[	X
cana-4848	265	2	9	9	NUM
cana-4848	265	3	]	]	PUNCT
cana-4848	265	4	mohammed	mohammed	PROPN
cana-4848	265	5	h.	h.	PROPN
cana-4848	265	6	al	al	PROPN
cana-4848	265	7	-	-	PUNCT
cana-4848	265	8	jammas	jammas	PROPN
cana-4848	265	9	,	,	PUNCT
cana-4848	265	10	emad	emad	PROPN
cana-4848	265	11	a.	a.	PROPN
cana-4848	265	12	al	al	PROPN
cana-4848	265	13	-	-	PUNCT
cana-4848	265	14	sabawi	sabawi	PROPN
cana-4848	265	15	,	,	PUNCT
cana-4848	265	16	ayshaa	ayshaa	PROPN
cana-4848	265	17	mohannad	mohannad	PROPN
cana-4848	265	18	yassin	yassin	PROPN
cana-4848	265	19	,	,	PUNCT
cana-4848	265	20	aya	aya	PROPN
cana-4848	265	21	hassan	hassan	PROPN
cana-4848	265	22	abdulrazza	abdulrazza	ADV
cana-4848	265	23	“	"	PUNCT
cana-4848	265	24	brain	brain	NOUN
cana-4848	265	25	tumors	tumor	NOUN
cana-4848	265	26	recognition	recognition	NOUN
cana-4848	265	27	based	base	VERB
cana-4848	265	28	on	on	ADP
cana-4848	265	29	deep	deep	ADJ
cana-4848	265	30	learning	learning	NOUN
cana-4848	265	31	”	"	PUNCT
cana-4848	265	32	e	e	NOUN
cana-4848	265	33	-	-	NOUN
cana-4848	265	34	prime	prime	ADJ
cana-4848	265	35	advances	advance	NOUN
cana-4848	265	36	in	in	ADP
cana-4848	265	37	electrical	electrical	ADJ
cana-4848	265	38	engineering	engineering	NOUN
cana-4848	265	39	,	,	PUNCT
cana-4848	265	40	electronics	electronic	NOUN
cana-4848	265	41	and	and	CCONJ
cana-4848	265	42	energy	energy	NOUN
cana-4848	265	43	8	8	NUM
cana-4848	265	44	(	(	PUNCT
cana-4848	265	45	2024	2024	NUM
cana-4848	265	46	)	)	PUNCT
cana-4848	265	47	100500	100500	NUM
cana-4848	265	48	.	.	PUNCT
cana-4848	266	1	[	[	X
cana-4848	266	2	10	10	NUM
cana-4848	266	3	]	]	X
cana-4848	266	4	kamini	kamini	PROPN
cana-4848	266	5	lamba	lamba	PROPN
cana-4848	266	6	,	,	PUNCT
cana-4848	266	7	shalli	shalli	PROPN
cana-4848	266	8	rani	rani	PROPN
cana-4848	266	9	,	,	PUNCT
cana-4848	266	10	monika	monika	PROPN
cana-4848	266	11	anand	anand	PROPN
cana-4848	266	12	,	,	PUNCT
cana-4848	266	13	lakshmana	lakshmana	PROPN
cana-4848	266	14	phaneendra	phaneendra	PROPN
cana-4848	266	15	maguluri	maguluri	PROPN
cana-4848	266	16	,	,	PUNCT
cana-4848	266	17	“	"	PUNCT
cana-4848	266	18	an	an	DET
cana-4848	266	19	integrated	integrate	VERB
cana-4848	266	20	dland	dland	NOUN
cana-4848	266	21	supervised	supervised	ADJ
cana-4848	266	22	learning	learn	VERB
cana-4848	266	23	approach	approach	NOUN
cana-4848	266	24	for	for	ADP
cana-4848	266	25	early	early	ADJ
cana-4848	266	26	detection	detection	NOUN
cana-4848	266	27	of	of	ADP
cana-4848	266	28	brain	brain	NOUN
cana-4848	266	29	tumor	tumor	NOUN
cana-4848	266	30	using	use	VERB
cana-4848	266	31	magnetic	magnetic	ADJ
cana-4848	266	32	resonance	resonance	NOUN
cana-4848	266	33	imaging	imaging	NOUN
cana-4848	266	34	”	"	PUNCT
cana-4848	266	35	,	,	PUNCT
cana-4848	266	36	healthcare	healthcare	NOUN
cana-4848	266	37	analytics	analytic	NOUN
cana-4848	266	38	5	5	NUM
cana-4848	266	39	(	(	PUNCT
cana-4848	266	40	2024	2024	NUM
cana-4848	266	41	)	)	PUNCT
cana-4848	266	42	100336	100336	NUM
cana-4848	267	1	[	[	X
cana-4848	267	2	11	11	NUM
cana-4848	267	3	]	]	PUNCT
cana-4848	267	4	shenbagarajan	shenbagarajan	NOUN
cana-4848	267	5	anantharajan	anantharajan	PROPN
cana-4848	267	6	,	,	PUNCT
cana-4848	267	7	shenbagalakshmi	shenbagalakshmi	ADJ
cana-4848	267	8	gunasekaran	gunasekaran	NOUN
cana-4848	267	9	,	,	PUNCT
cana-4848	267	10	thavasi	thavasi	NOUN
cana-4848	267	11	subramanian	subramanian	NOUN
cana-4848	267	12	,	,	PUNCT
cana-4848	267	13	venkatesh	venkatesh	PROPN
cana-4848	267	14	r	r	NOUN
cana-4848	267	15	,	,	PUNCT
cana-4848	267	16	“	"	PUNCT
cana-4848	267	17	mri	mri	NOUN
cana-4848	267	18	brain	brain	NOUN
cana-4848	267	19	tumor	tumor	NOUN
cana-4848	267	20	detection	detection	NOUN
cana-4848	267	21	using	use	VERB
cana-4848	267	22	dland	dland	NOUN
cana-4848	267	23	machine	machine	NOUN
cana-4848	267	24	learning	learning	NOUN
cana-4848	267	25	approaches	approach	NOUN
cana-4848	267	26	”	"	PUNCT
cana-4848	267	27	measurement	measurement	NOUN
cana-4848	267	28	:	:	PUNCT
cana-4848	267	29	sensors	sensor	NOUN
cana-4848	267	30	volume	volume	NOUN
cana-4848	267	31	31	31	NUM
cana-4848	267	32	,	,	PUNCT
cana-4848	267	33	february	february	PROPN
cana-4848	267	34	2024	2024	NUM
cana-4848	267	35	,	,	PUNCT
cana-4848	267	36	101026	101026	NUM
cana-4848	267	37	.	.	PUNCT
cana-4848	268	1	[	[	X
cana-4848	268	2	12	12	NUM
cana-4848	268	3	]	]	X
cana-4848	268	4	monika	monika	PROPN
cana-4848	268	5	agarwal	agarwal	PROPN
cana-4848	268	6	,	,	PUNCT
cana-4848	268	7	geeta	geeta	PROPN
cana-4848	268	8	rani	rani	PROPN
cana-4848	268	9	,	,	PUNCT
cana-4848	268	10	ambeshwar	ambeshwar	PROPN
cana-4848	268	11	kumar	kumar	PROPN
cana-4848	268	12	,	,	PUNCT
cana-4848	268	13	pradeep	pradeep	PROPN
cana-4848	268	14	kumar	kumar	PROPN
cana-4848	268	15	k	k	PROPN
cana-4848	268	16	,	,	PUNCT
cana-4848	268	17	r.	r.	PROPN
cana-4848	268	18	manikandan	manikandan	PROPN
cana-4848	268	19	,	,	PUNCT
cana-4848	268	20	amir	amir	PROPN
cana-4848	268	21	h.	h.	PROPN
cana-4848	268	22	gandomi	gandomi	PROPN
cana-4848	268	23	,	,	PUNCT
cana-4848	268	24	”	"	PUNCT
cana-4848	268	25	dlfor	dlfor	ADP
cana-4848	268	26	enhanced	enhanced	ADJ
cana-4848	268	27	brain	brain	NOUN
cana-4848	268	28	tumor	tumor	NOUN
cana-4848	268	29	detection	detection	NOUN
cana-4848	268	30	and	and	CCONJ
cana-4848	268	31	classification	classification	NOUN
cana-4848	268	32	”	"	PUNCT
cana-4848	268	33	results	result	NOUN
cana-4848	268	34	in	in	ADP
cana-4848	268	35	engineering	engineer	VERB
cana-4848	268	36	22	22	NUM
cana-4848	268	37	(	(	PUNCT
cana-4848	268	38	2024	2024	NUM
cana-4848	268	39	)	)	PUNCT
cana-4848	268	40	102117	102117	NUM
cana-4848	268	41	.	.	PUNCT
cana-4848	269	1	[	[	X
cana-4848	269	2	13	13	NUM
cana-4848	269	3	]	]	PUNCT
cana-4848	269	4	alain	alain	PROPN
cana-4848	269	5	marcel	marcel	PROPN
cana-4848	269	6	dikande	dikande	PROPN
cana-4848	269	7	simo	simo	PROPN
cana-4848	269	8	,	,	PUNCT
cana-4848	269	9	aurelle	aurelle	VERB
cana-4848	269	10	tchagna	tchagna	PROPN
cana-4848	269	11	kouanou	kouanou	PROPN
cana-4848	269	12	,	,	PUNCT
cana-4848	269	13	valery	valery	PROPN
cana-4848	269	14	monthe	monthe	PROPN
cana-4848	269	15	,	,	PUNCT
cana-4848	269	16	michael	michael	PROPN
cana-4848	269	17	kameni	kameni	PROPN
cana-4848	269	18	nana	nana	PROPN
cana-4848	269	19	,	,	PUNCT
cana-4848	269	20	bertrand	bertrand	PROPN
cana-4848	269	21	moffo	moffo	PROPN
cana-4848	269	22	lonla	lonla	NOUN
cana-4848	269	23	,	,	PUNCT
cana-4848	269	24	“	"	PUNCT
cana-4848	269	25	introducing	introduce	VERB
cana-4848	269	26	a	a	DET
cana-4848	269	27	dlmethod	dlmethod	NOUN
cana-4848	269	28	for	for	ADP
cana-4848	269	29	brain	brain	NOUN
cana-4848	269	30	tumor	tumor	NOUN
cana-4848	269	31	classification	classification	NOUN
cana-4848	269	32	using	use	VERB
cana-4848	269	33	mri	mri	NOUN
cana-4848	269	34	data	datum	NOUN
cana-4848	269	35	towards	towards	ADP
cana-4848	269	36	better	well	ADJ
cana-4848	269	37	performance	performance	NOUN
cana-4848	269	38	”	"	PUNCT
cana-4848	269	39	,	,	PUNCT
cana-4848	269	40	informatics	informatic	NOUN
cana-4848	269	41	in	in	ADP
cana-4848	269	42	medicine	medicine	NOUN
cana-4848	269	43	unlocked	unlock	VERB
cana-4848	269	44	44	44	NUM
cana-4848	269	45	(	(	PUNCT
cana-4848	269	46	2024	2024	NUM
cana-4848	269	47	)	)	PUNCT
cana-4848	269	48	101423	101423	NUM
cana-4848	269	49	.	.	PUNCT
cana-4848	270	1	[	[	X
cana-4848	270	2	14	14	NUM
cana-4848	270	3	]	]	X
cana-4848	270	4	tripty	tripty	ADJ
cana-4848	270	5	singh	singh	PROPN
cana-4848	270	6	,	,	PUNCT
cana-4848	270	7	rekha	rekha	PROPN
cana-4848	270	8	nair	nair	PROPN
cana-4848	270	9	,	,	PUNCT
cana-4848	270	10	tina	tina	PROPN
cana-4848	270	11	babu	babu	PROPN
cana-4848	270	12	,	,	PUNCT
cana-4848	270	13	atharwa	atharwa	VERB
cana-4848	270	14	wagh	wagh	PROPN
cana-4848	270	15	,	,	PUNCT
cana-4848	270	16	aniket	aniket	PROPN
cana-4848	270	17	bhosalea	bhosalea	ADJ
cana-4848	270	18	,	,	PUNCT
cana-4848	270	19	prakash	prakash	PROPN
cana-4848	270	20	duraisamy	duraisamy	NOUN
cana-4848	270	21	,	,	PUNCT
cana-4848	270	22	“	"	PUNCT
cana-4848	270	23	brainnet	brainnet	NOUN
cana-4848	270	24	:	:	PUNCT
cana-4848	270	25	a	a	DET
cana-4848	270	26	dlapproach	dlapproach	NOUN
cana-4848	270	27	for	for	ADP
cana-4848	270	28	brain	brain	NOUN
cana-4848	270	29	tumor	tumor	NOUN
cana-4848	270	30	classification	classification	NOUN
cana-4848	270	31	”	"	PUNCT
cana-4848	270	32	procedia	procedia	NOUN
cana-4848	270	33	computer	computer	NOUN
cana-4848	270	34	science	science	NOUN
cana-4848	270	35	,	,	PUNCT
cana-4848	270	36	volume	volume	NOUN
cana-4848	270	37	235	235	NUM
cana-4848	270	38	,	,	PUNCT
cana-4848	270	39	2024	2024	NUM
cana-4848	270	40	,	,	PUNCT
cana-4848	270	41	pages	page	NOUN
cana-4848	270	42	3283	3283	NUM
cana-4848	270	43	-	-	SYM
cana-4848	270	44	3292	3292	NUM
cana-4848	270	45	[	[	X
cana-4848	270	46	15	15	NUM
cana-4848	270	47	]	]	X
cana-4848	270	48	t.	t.	NOUN
cana-4848	270	49	lakshmi	lakshmi	PROPN
cana-4848	270	50	prasanthi	prasanthi	VERB
cana-4848	270	51	,	,	PUNCT
cana-4848	270	52	n.	n.	NOUN
cana-4848	270	53	neelima	neelima	NOUN
cana-4848	270	54	,	,	PUNCT
cana-4848	270	55	“	"	PUNCT
cana-4848	270	56	improvement	improvement	NOUN
cana-4848	270	57	of	of	ADP
cana-4848	270	58	brain	brain	NOUN
cana-4848	270	59	tumor	tumor	NOUN
cana-4848	270	60	categorization	categorization	NOUN
cana-4848	270	61	using	use	VERB
cana-4848	270	62	deep	deep	ADJ
cana-4848	270	63	learning	learning	NOUN
cana-4848	270	64	:	:	PUNCT
cana-4848	270	65	a	a	DET
cana-4848	270	66	comprehensive	comprehensive	ADJ
cana-4848	270	67	investigation	investigation	NOUN
cana-4848	270	68	and	and	CCONJ
cana-4848	270	69	comparative	comparative	ADJ
cana-4848	270	70	analysis	analysis	NOUN
cana-4848	270	71	”	"	PUNCT
cana-4848	270	72	procedia	procedia	NOUN
cana-4848	270	73	computer	computer	NOUN
cana-4848	270	74	science	science	NOUN
cana-4848	270	75	volume	volume	NOUN
cana-4848	270	76	233	233	NUM
cana-4848	270	77	,	,	PUNCT
cana-4848	270	78	2024	2024	NUM
cana-4848	270	79	,	,	PUNCT
cana-4848	270	80	pages	page	NOUN
cana-4848	270	81	703	703	NUM
cana-4848	270	82	-	-	SYM
cana-4848	270	83	712	712	NUM
cana-4848	270	84	.	.	PUNCT
cana-4848	271	1	[	[	X
cana-4848	271	2	16	16	NUM
cana-4848	271	3	]	]	PUNCT
cana-4848	271	4	a.	a.	NOUN
cana-4848	271	5	priya	priya	PROPN
cana-4848	271	6	,	,	PUNCT
cana-4848	271	7	v.	v.	PROPN
cana-4848	271	8	vasudevan	vasudevan	PROPN
cana-4848	271	9	,	,	PUNCT
cana-4848	271	10	“	"	PUNCT
cana-4848	271	11	brain	brain	NOUN
cana-4848	271	12	tumor	tumor	NOUN
cana-4848	271	13	classification	classification	NOUN
cana-4848	271	14	and	and	CCONJ
cana-4848	271	15	detection	detection	NOUN
cana-4848	271	16	via	via	ADP
cana-4848	271	17	hybrid	hybrid	ADJ
cana-4848	271	18	alexnet	alexnet	NOUN
cana-4848	271	19	-	-	PUNCT
cana-4848	271	20	gru	gru	NOUN
cana-4848	271	21	based	base	VERB
cana-4848	271	22	on	on	ADP
cana-4848	271	23	deep	deep	ADJ
cana-4848	271	24	learning	learning	NOUN
cana-4848	271	25	”	"	PUNCT
cana-4848	271	26	biomedical	biomedical	ADJ
cana-4848	271	27	signal	signal	NOUN
cana-4848	271	28	processing	processing	NOUN
cana-4848	271	29	and	and	CCONJ
cana-4848	271	30	control	control	NOUN
cana-4848	271	31	89	89	NUM
cana-4848	271	32	,	,	PUNCT
cana-4848	271	33	2024	2024	NUM
cana-4848	271	34	,	,	PUNCT
cana-4848	271	35	105716	105716	NUM
cana-4848	271	36	.	.	PUNCT
cana-4848	272	1	[	[	X
cana-4848	272	2	17	17	NUM
cana-4848	272	3	]	]	X
cana-4848	272	4	chandni	chandni	PROPN
cana-4848	272	5	,	,	PUNCT
cana-4848	272	6	monika	monika	PROPN
cana-4848	272	7	sachdeva	sachdeva	PROPN
cana-4848	272	8	,	,	PUNCT
cana-4848	272	9	alok	alok	PROPN
cana-4848	272	10	kumar	kumar	PROPN
cana-4848	272	11	singh	singh	PROPN
cana-4848	272	12	kushwaha	kushwaha	PROPN
cana-4848	272	13	,	,	PUNCT
cana-4848	272	14	“	"	PUNCT
cana-4848	272	15	irnetv	irnetv	ADJ
cana-4848	272	16	:	:	PUNCT
cana-4848	272	17	a	a	DET
cana-4848	272	18	dlframework	dlframework	NOUN
cana-4848	272	19	for	for	ADP
cana-4848	272	20	automated	automate	VERB
cana-4848	272	21	brain	brain	NOUN
cana-4848	272	22	tumor	tumor	NOUN
cana-4848	272	23	diagnosis	diagnosis	NOUN
cana-4848	272	24	”	"	PUNCT
cana-4848	272	25	biomedical	biomedical	ADJ
cana-4848	272	26	signal	signal	NOUN
cana-4848	272	27	processing	processing	NOUN
cana-4848	272	28	and	and	CCONJ
cana-4848	272	29	control	control	NOUN
cana-4848	272	30	87	87	NUM
cana-4848	272	31	(	(	PUNCT
cana-4848	272	32	2024	2024	NUM
cana-4848	272	33	)	)	PUNCT
cana-4848	272	34	105459	105459	NUM
cana-4848	272	35	.	.	PUNCT
cana-4848	273	1	[	[	X
cana-4848	273	2	18	18	NUM
cana-4848	273	3	]	]	X
cana-4848	273	4	shyo	shyo	PROPN
cana-4848	273	5	prakash	prakash	PROPN
cana-4848	273	6	jakhar	jakhar	PROPN
cana-4848	273	7	,	,	PUNCT
cana-4848	273	8	amita	amita	PROPN
cana-4848	273	9	nandal	nandal	PROPN
cana-4848	273	10	,	,	PUNCT
cana-4848	273	11	arvind	arvind	PROPN
cana-4848	273	12	dhaka	dhaka	PROPN
cana-4848	273	13	,	,	PUNCT
cana-4848	273	14	adi	adi	PROPN
cana-4848	273	15	alhudhaif	alhudhaif	PROPN
cana-4848	273	16	,	,	PUNCT
cana-4848	273	17	kemal	kemal	NOUN
cana-4848	273	18	polat	polat	NOUN
cana-4848	273	19	,	,	PUNCT
cana-4848	273	20	“	"	PUNCT
cana-4848	273	21	brain	brain	NOUN
cana-4848	273	22	tumor	tumor	NOUN
cana-4848	273	23	detection	detection	NOUN
cana-4848	273	24	with	with	ADP
cana-4848	273	25	multi	multi	ADJ
cana-4848	273	26	-	-	ADJ
cana-4848	273	27	scale	scale	ADJ
cana-4848	273	28	fractal	fractal	ADJ
cana-4848	273	29	feature	feature	NOUN
cana-4848	273	30	network	network	NOUN
cana-4848	273	31	and	and	CCONJ
cana-4848	273	32	fractal	fractal	ADJ
cana-4848	273	33	residual	residual	ADJ
cana-4848	273	34	learning	learning	NOUN
cana-4848	273	35	”	"	PUNCT
cana-4848	273	36	applied	apply	VERB
cana-4848	273	37	soft	soft	ADJ
cana-4848	273	38	computing	computing	NOUN
cana-4848	273	39	journal	journal	NOUN
cana-4848	273	40	153	153	NUM
cana-4848	273	41	(	(	PUNCT
cana-4848	273	42	2024	2024	NUM
cana-4848	273	43	)	)	PUNCT
cana-4848	273	44	111284	111284	NUM
cana-4848	274	1	[	[	X
cana-4848	274	2	19	19	NUM
cana-4848	274	3	]	]	PUNCT
cana-4848	274	4	kavita	kavita	PROPN
cana-4848	274	5	a.	a.	PROPN
cana-4848	274	6	sultanpure	sultanpure	PROPN
cana-4848	274	7	,	,	PUNCT
cana-4848	274	8	jayashri	jayashri	PROPN
cana-4848	274	9	bagade	bagade	NOUN
cana-4848	274	10	,	,	PUNCT
cana-4848	274	11	sunil	sunil	PROPN
cana-4848	274	12	l.	l.	PROPN
cana-4848	274	13	bangare	bangare	PROPN
cana-4848	274	14	,	,	PUNCT
cana-4848	274	15	manoj	manoj	PROPN
cana-4848	274	16	l.	l.	PROPN
cana-4848	274	17	bangare	bangare	PROPN
cana-4848	274	18	,	,	PUNCT
cana-4848	274	19	kalyan	kalyan	PROPN
cana-4848	274	20	d.	d.	PROPN
cana-4848	274	21	bamane	bamane	PROPN
cana-4848	274	22	,	,	PUNCT
cana-4848	274	23	abhijit	abhijit	PROPN
cana-4848	274	24	j.	j.	PROPN
cana-4848	274	25	patankar	patankar	PROPN
cana-4848	274	26	,	,	PUNCT
cana-4848	274	27	“	"	PUNCT
cana-4848	274	28	internet	internet	NOUN
cana-4848	274	29	of	of	ADP
cana-4848	274	30	things	thing	NOUN
cana-4848	274	31	and	and	CCONJ
cana-4848	274	32	dlbased	dlbase	VERB
cana-4848	274	33	digital	digital	ADJ
cana-4848	274	34	twins	twin	NOUN
cana-4848	274	35	for	for	ADP
cana-4848	274	36	diagnosis	diagnosis	NOUN
cana-4848	274	37	of	of	ADP
cana-4848	274	38	brain	brain	NOUN
cana-4848	274	39	tumor	tumor	NOUN
cana-4848	274	40	by	by	ADP
cana-4848	274	41	analyzing	analyze	VERB
cana-4848	274	42	mri	mri	NOUN
cana-4848	274	43	images	image	NOUN
cana-4848	274	44	”	"	PUNCT
cana-4848	274	45	measurement	measurement	NOUN
cana-4848	274	46	:	:	PUNCT
cana-4848	274	47	sensors	sensor	NOUN
cana-4848	274	48	volume	volume	VERB
cana-4848	274	49	33	33	NUM
cana-4848	274	50	,	,	PUNCT
cana-4848	274	51	june	june	PROPN
cana-4848	274	52	2024	2024	NUM
cana-4848	274	53	,	,	PUNCT
cana-4848	274	54	101220	101220	NUM
cana-4848	274	55	.	.	PUNCT
cana-4848	275	1	[	[	X
cana-4848	275	2	20	20	NUM
cana-4848	275	3	]	]	X
cana-4848	275	4	md	md	PROPN
cana-4848	275	5	.	.	PUNCT
cana-4848	276	1	naim	naim	PROPN
cana-4848	276	2	islam	islam	PROPN
cana-4848	276	3	,	,	PUNCT
cana-4848	276	4	md	md	PROPN
cana-4848	276	5	.	.	PROPN
cana-4848	276	6	shafiul	shafiul	PROPN
cana-4848	277	1	azam	azam	PROPN
cana-4848	277	2	,	,	PUNCT
cana-4848	277	3	md	md	PROPN
cana-4848	277	4	.	.	PROPN
cana-4848	277	5	samiul	samiul	PROPN
cana-4848	277	6	islam	islam	PROPN
cana-4848	277	7	,	,	PUNCT
cana-4848	277	8	muntasir	muntasir	PROPN
cana-4848	277	9	hasan	hasan	PROPN
cana-4848	277	10	kanchan	kanchan	PROPN
cana-4848	277	11	,	,	PUNCT
cana-4848	277	12	a.h.m	a.h.m	NOUN
cana-4848	277	13	.	.	PUNCT
cana-4848	277	14	shahariar	shahariar	ADJ
cana-4848	277	15	parvez	parvez	PROPN
cana-4848	277	16	,	,	PUNCT
cana-4848	277	17	md	md	PROPN
cana-4848	277	18	.	.	PROPN
cana-4848	277	19	monirul	monirul	PROPN
cana-4848	277	20	islam	islam	PROPN
cana-4848	277	21	“	"	PUNCT
cana-4848	277	22	an	an	DET
cana-4848	277	23	improved	improved	ADJ
cana-4848	277	24	deep	deep	ADJ
cana-4848	277	25	learning	learning	NOUN
cana-4848	277	26	-	-	PUNCT
cana-4848	277	27	based	base	VERB
cana-4848	277	28	hybrid	hybrid	ADJ
cana-4848	277	29	model	model	NOUN
cana-4848	277	30	with	with	ADP
cana-4848	277	31	ensemble	ensemble	ADJ
cana-4848	277	32	techniques	technique	NOUN
cana-4848	277	33	for	for	ADP
cana-4848	277	34	brain	brain	NOUN
cana-4848	277	35	tumor	tumor	NOUN
cana-4848	277	36	detection	detection	NOUN
cana-4848	277	37	from	from	ADP
cana-4848	277	38	mri	mri	NOUN
cana-4848	277	39	image	image	NOUN
cana-4848	277	40	”	"	PUNCT
cana-4848	277	41	informatics	informatic	NOUN
cana-4848	277	42	in	in	ADP
cana-4848	277	43	medicine	medicine	NOUN
cana-4848	277	44	unlocked	unlock	VERB
cana-4848	277	45	47	47	NUM
cana-4848	277	46	(	(	PUNCT
cana-4848	277	47	2024	2024	NUM
cana-4848	277	48	)	)	PUNCT
cana-4848	277	49	101483	101483	NUM
cana-4848	277	50	.	.	PUNCT
cana-4848	278	1	communications	communication	NOUN
cana-4848	278	2	on	on	ADP
cana-4848	278	3	applied	apply	VERB
cana-4848	278	4	nonlinear	nonlinear	ADJ
cana-4848	278	5	analysis	analysis	NOUN
cana-4848	278	6	issn	issn	NOUN
cana-4848	278	7	:	:	PUNCT
cana-4848	278	8	1074	1074	NUM
cana-4848	278	9	-	-	PUNCT
cana-4848	278	10	133x	133x	NUM
cana-4848	278	11	vol	vol	VERB
cana-4848	278	12	32	32	NUM
cana-4848	278	13	no	no	NOUN
cana-4848	278	14	.	.	PUNCT
cana-4848	279	1	10s	10	NOUN
cana-4848	279	2	(	(	PUNCT
cana-4848	279	3	2025	2025	NUM
cana-4848	279	4	)	)	PUNCT
cana-4848	279	5	593	593	NUM
cana-4848	279	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4848	280	1	[	[	X
cana-4848	280	2	21	21	NUM
cana-4848	280	3	]	]	X
cana-4848	280	4	rita	rita	PROPN
cana-4848	280	5	appiah	appiah	PROPN
cana-4848	280	6	,	,	PUNCT
cana-4848	280	7	venkatesh	venkatesh	PROPN
cana-4848	280	8	pulletikurthi	pulletikurthi	PROPN
cana-4848	280	9	,	,	PUNCT
cana-4848	280	10	helber	helber	PROPN
cana-4848	280	11	antonio	antonio	PROPN
cana-4848	280	12	esquivel	esquivel	PROPN
cana-4848	280	13	-	-	PUNCT
cana-4848	280	14	puentes	puentes	PROPN
cana-4848	280	15	,	,	PUNCT
cana-4848	280	16	cristiano	cristiano	PROPN
cana-4848	280	17	cabrera	cabrera	PROPN
cana-4848	280	18	,	,	PUNCT
cana-4848	280	19	nahian	nahian	PROPN
cana-4848	280	20	i.	i.	PROPN
cana-4848	280	21	hasan	hasan	PROPN
cana-4848	280	22	,	,	PUNCT
cana-4848	280	23	suranga	suranga	ADJ
cana-4848	280	24	dharmarathne	dharmarathne	PROPN
cana-4848	280	25	,	,	PUNCT
cana-4848	280	26	luis	luis	PROPN
cana-4848	280	27	j.	j.	PROPN
cana-4848	280	28	gomez	gomez	PROPN
cana-4848	280	29	,	,	PUNCT
cana-4848	280	30	luciano	luciano	PROPN
cana-4848	280	31	castillo	castillo	PROPN
cana-4848	280	32	,	,	PUNCT
cana-4848	280	33	“	"	PUNCT
cana-4848	280	34	brain	brain	NOUN
cana-4848	280	35	tumor	tumor	NOUN
cana-4848	280	36	detection	detection	NOUN
cana-4848	280	37	using	use	VERB
cana-4848	280	38	proper	proper	ADJ
cana-4848	280	39	orthogonal	orthogonal	ADJ
cana-4848	280	40	decomposition	decomposition	NOUN
cana-4848	280	41	integrated	integrate	VERB
cana-4848	280	42	with	with	ADP
cana-4848	280	43	dlnetworks	dlnetwork	NOUN
cana-4848	280	44	”	"	PUNCT
cana-4848	280	45	computer	computer	NOUN
cana-4848	280	46	methods	method	NOUN
cana-4848	280	47	and	and	CCONJ
cana-4848	280	48	programs	program	NOUN
cana-4848	280	49	in	in	ADP
cana-4848	280	50	biomedicine	biomedicine	NOUN
cana-4848	280	51	250	250	NUM
cana-4848	280	52	(	(	PUNCT
cana-4848	280	53	2024	2024	NUM
cana-4848	280	54	)	)	PUNCT
cana-4848	280	55	108167	108167	NUM
cana-4848	281	1	[	[	X
cana-4848	281	2	22	22	NUM
cana-4848	281	3	]	]	PUNCT
cana-4848	281	4	takowa	takowa	PROPN
cana-4848	281	5	rahman	rahman	PROPN
cana-4848	281	6	,	,	PUNCT
cana-4848	281	7	md	md	PROPN
cana-4848	281	8	saiful	saiful	PROPN
cana-4848	281	9	islam	islam	PROPN
cana-4848	281	10	.	.	PUNCT
cana-4848	282	1	“	"	PUNCT
cana-4848	282	2	mri	mri	NOUN
cana-4848	282	3	brain	brain	NOUN
cana-4848	282	4	tumor	tumor	NOUN
cana-4848	282	5	detection	detection	NOUN
cana-4848	282	6	and	and	CCONJ
cana-4848	282	7	classification	classification	NOUN
cana-4848	282	8	using	use	VERB
cana-4848	282	9	parallel	parallel	ADJ
cana-4848	282	10	deep	deep	ADJ
cana-4848	282	11	convolutional	convolutional	ADJ
cana-4848	282	12	neural	neural	ADJ
cana-4848	282	13	networks	network	NOUN
cana-4848	282	14	”	"	PUNCT
cana-4848	282	15	measurement	measurement	NOUN
cana-4848	282	16	:	:	PUNCT
cana-4848	282	17	sensors	sensor	NOUN
cana-4848	282	18	26	26	NUM
cana-4848	282	19	(	(	PUNCT
cana-4848	282	20	2023	2023	NUM
cana-4848	282	21	)	)	PUNCT
cana-4848	282	22	100694	100694	NUM
cana-4848	282	23	.	.	PUNCT
cana-4848	283	1	[	[	X
cana-4848	283	2	23	23	NUM
cana-4848	283	3	]	]	PUNCT
cana-4848	283	4	shenbagarajan	shenbagarajan	NOUN
cana-4848	283	5	anantharajan	anantharajan	NOUN
cana-4848	283	6	,	,	PUNCT
cana-4848	283	7	shenbagalakshmi	shenbagalakshmi	ADJ
cana-4848	283	8	gunasekaran	gunasekaran	NOUN
cana-4848	283	9	,	,	PUNCT
cana-4848	283	10	thavasi	thavasi	NOUN
cana-4848	283	11	subramanian	subramanian	PROPN
cana-4848	283	12	,	,	PUNCT
cana-4848	283	13	venkatesh	venkatesh	PROPN
cana-4848	283	14	r	r	NOUN
cana-4848	283	15	,	,	PUNCT
cana-4848	283	16	“	"	PUNCT
cana-4848	283	17	mri	mri	NOUN
cana-4848	283	18	brain	brain	NOUN
cana-4848	283	19	tumor	tumor	NOUN
cana-4848	283	20	detection	detection	NOUN
cana-4848	283	21	using	use	VERB
cana-4848	283	22	dland	dland	NOUN
cana-4848	283	23	machine	machine	NOUN
cana-4848	283	24	learning	learning	NOUN
cana-4848	283	25	approaches	approach	NOUN
cana-4848	283	26	”	"	PUNCT
cana-4848	283	27	measurement	measurement	NOUN
cana-4848	283	28	:	:	PUNCT
cana-4848	283	29	sensors	sensor	NOUN
cana-4848	283	30	31	31	NUM
cana-4848	283	31	(	(	PUNCT
cana-4848	283	32	2024	2024	NUM
cana-4848	283	33	)	)	PUNCT
cana-4848	283	34	101026	101026	NUM
cana-4848	283	35	.	.	PUNCT