id	sid	tid	token	lemma	pos
cana-1547	1	1	communications	communication	NOUN
cana-1547	1	2	on	on	ADP
cana-1547	1	3	applied	apply	VERB
cana-1547	1	4	nonlinear	nonlinear	ADJ
cana-1547	1	5	analysis	analysis	NOUN
cana-1547	1	6	issn	issn	NOUN
cana-1547	1	7	:	:	PUNCT
cana-1547	1	8	1074	1074	NUM
cana-1547	1	9	-	-	PUNCT
cana-1547	1	10	133x	133x	NUM
cana-1547	1	11	vol	vol	NOUN
cana-1547	1	12	31	31	NUM
cana-1547	1	13	no	no	NOUN
cana-1547	1	14	.	.	PUNCT
cana-1547	2	1	8s	8s	PROPN
cana-1547	2	2	(	(	PUNCT
cana-1547	2	3	2024	2024	NUM
cana-1547	2	4	)	)	PUNCT
cana-1547	2	5	541	541	NUM
cana-1547	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1547	2	7	convolution	convolution	NOUN
cana-1547	2	8	neural	neural	ADJ
cana-1547	2	9	network	network	NOUN
cana-1547	2	10	based	base	VERB
cana-1547	2	11	brain	brain	NOUN
cana-1547	2	12	tumor	tumor	NOUN
cana-1547	2	13	detection	detection	NOUN
cana-1547	2	14	using	use	VERB
cana-1547	2	15	mri	mri	NOUN
cana-1547	2	16	scans	scan	NOUN
cana-1547	2	17	vivek	vivek	ADJ
cana-1547	2	18	agrawal1	agrawal1	PROPN
cana-1547	2	19	,	,	PUNCT
cana-1547	2	20	kuldeep	kuldeep	PROPN
cana-1547	2	21	singh	singh	PROPN
cana-1547	2	22	kaswan2	kaswan2	PROPN
cana-1547	2	23	,	,	PUNCT
cana-1547	2	24	sanjay	sanjay	PROPN
cana-1547	2	25	kumar3	kumar3	PROPN
cana-1547	2	26	1galgotias	1galgotias	PROPN
cana-1547	2	27	university	university	NOUN
cana-1547	2	28	,	,	PUNCT
cana-1547	2	29	greater	great	ADJ
cana-1547	2	30	noida	noida	PROPN
cana-1547	2	31	(	(	PUNCT
cana-1547	2	32	u.p	u.p	PROPN
cana-1547	2	33	)	)	PUNCT
cana-1547	2	34	,	,	PUNCT
cana-1547	2	35	india	india	PROPN
cana-1547	2	36	,	,	PUNCT
cana-1547	2	37	vivek.ag86@gmail.com	vivek.ag86@gmail.com	X
cana-1547	2	38	2galgotias	2galgotias	NUM
cana-1547	2	39	university	university	NOUN
cana-1547	2	40	,	,	PUNCT
cana-1547	2	41	greater	great	ADJ
cana-1547	2	42	noida	noida	PROPN
cana-1547	2	43	(	(	PUNCT
cana-1547	2	44	u.p	u.p	PROPN
cana-1547	2	45	)	)	PUNCT
cana-1547	2	46	,	,	PUNCT
cana-1547	2	47	india	india	PROPN
cana-1547	2	48	,	,	PUNCT
cana-1547	2	49	kaswan.kuldeep@gmail.com	kaswan.kuldeep@gmail.com	PROPN
cana-1547	2	50	3galgotia	3galgotia	NUM
cana-1547	2	51	college	college	NOUN
cana-1547	2	52	of	of	ADP
cana-1547	2	53	engineering	engineering	NOUN
cana-1547	2	54	and	and	CCONJ
cana-1547	2	55	technology	technology	NOUN
cana-1547	2	56	,	,	PUNCT
cana-1547	2	57	greater	great	ADJ
cana-1547	2	58	noida	noida	PROPN
cana-1547	2	59	(	(	PUNCT
cana-1547	2	60	u.p	u.p	PROPN
cana-1547	2	61	)	)	PUNCT
cana-1547	2	62	,	,	PUNCT
cana-1547	2	63	india	india	PROPN
cana-1547	2	64	,	,	PUNCT
cana-1547	2	65	skhakhil@gmail.com	skhakhil@gmail.com	X
cana-1547	3	1	article	article	NOUN
cana-1547	3	2	history	history	NOUN
cana-1547	3	3	:	:	PUNCT
cana-1547	3	4	received	receive	VERB
cana-1547	3	5	:	:	PUNCT
cana-1547	3	6	16	16	NUM
cana-1547	3	7	-	-	SYM
cana-1547	3	8	05	05	NUM
cana-1547	3	9	-	-	PUNCT
cana-1547	3	10	2024	2024	NUM
cana-1547	3	11	revised	revise	VERB
cana-1547	3	12	:	:	PUNCT
cana-1547	3	13	29	29	NUM
cana-1547	3	14	-	-	SYM
cana-1547	3	15	06	06	NUM
cana-1547	3	16	-	-	PUNCT
cana-1547	3	17	2024	2024	NUM
cana-1547	3	18	accepted	accept	VERB
cana-1547	3	19	:	:	PUNCT
cana-1547	3	20	19	19	NUM
cana-1547	3	21	-	-	PUNCT
cana-1547	3	22	07	07	NUM
cana-1547	3	23	-	-	PUNCT
cana-1547	3	24	2024	2024	NUM
cana-1547	3	25	abstract	abstract	NOUN
cana-1547	3	26	:	:	PUNCT
cana-1547	3	27	a	a	DET
cana-1547	3	28	brain	brain	NOUN
cana-1547	3	29	tumor	tumor	NOUN
cana-1547	3	30	is	be	AUX
cana-1547	3	31	an	an	DET
cana-1547	3	32	uncontrollable	uncontrollable	ADJ
cana-1547	3	33	,	,	PUNCT
cana-1547	3	34	uncontrollable	uncontrollable	ADJ
cana-1547	3	35	expansion	expansion	NOUN
cana-1547	3	36	of	of	ADP
cana-1547	3	37	neoplasms	neoplasm	NOUN
cana-1547	3	38	in	in	ADP
cana-1547	3	39	the	the	DET
cana-1547	3	40	brain	brain	NOUN
cana-1547	3	41	.	.	PUNCT
cana-1547	4	1	brain	brain	NOUN
cana-1547	4	2	tumors	tumor	NOUN
cana-1547	4	3	can	can	AUX
cana-1547	4	4	be	be	AUX
cana-1547	4	5	benign	benign	ADJ
cana-1547	4	6	or	or	CCONJ
cana-1547	4	7	malignant	malignant	ADJ
cana-1547	4	8	in	in	ADP
cana-1547	4	9	nature	nature	NOUN
cana-1547	4	10	.	.	PUNCT
cana-1547	5	1	magnetic	magnetic	ADJ
cana-1547	5	2	resonance	resonance	NOUN
cana-1547	5	3	imaging	imaging	NOUN
cana-1547	5	4	(	(	PUNCT
cana-1547	5	5	mri	mri	NOUN
cana-1547	5	6	)	)	PUNCT
cana-1547	5	7	is	be	AUX
cana-1547	5	8	the	the	DET
cana-1547	5	9	primary	primary	ADJ
cana-1547	5	10	diagnostic	diagnostic	ADJ
cana-1547	5	11	tool	tool	NOUN
cana-1547	5	12	,	,	PUNCT
cana-1547	5	13	where	where	SCONJ
cana-1547	5	14	a	a	DET
cana-1547	5	15	neurologist	neurologist	NOUN
cana-1547	5	16	examines	examine	VERB
cana-1547	5	17	the	the	DET
cana-1547	5	18	brain	brain	NOUN
cana-1547	5	19	using	use	VERB
cana-1547	5	20	traditional	traditional	ADJ
cana-1547	5	21	diagnostic	diagnostic	ADJ
cana-1547	5	22	techniques	technique	NOUN
cana-1547	5	23	.	.	PUNCT
cana-1547	6	1	in	in	ADP
cana-1547	6	2	most	most	ADJ
cana-1547	6	3	computer	computer	NOUN
cana-1547	6	4	-	-	PUNCT
cana-1547	6	5	aided	aid	VERB
cana-1547	6	6	design	design	NOUN
cana-1547	6	7	(	(	PUNCT
cana-1547	6	8	cad	cad	NOUN
cana-1547	6	9	)	)	PUNCT
cana-1547	6	10	applications	application	NOUN
cana-1547	6	11	,	,	PUNCT
cana-1547	6	12	the	the	DET
cana-1547	6	13	detector	detector	NOUN
cana-1547	6	14	helps	help	VERB
cana-1547	6	15	radiologists	radiologist	NOUN
cana-1547	6	16	classify	classify	VERB
cana-1547	6	17	mris	mris	PROPN
cana-1547	6	18	more	more	ADV
cana-1547	6	19	efficiently	efficiently	ADV
cana-1547	6	20	,	,	PUNCT
cana-1547	6	21	but	but	CCONJ
cana-1547	6	22	achieving	achieve	VERB
cana-1547	6	23	high	high	ADJ
cana-1547	6	24	classification	classification	NOUN
cana-1547	6	25	accuracy	accuracy	NOUN
cana-1547	6	26	is	be	AUX
cana-1547	6	27	a	a	DET
cana-1547	6	28	major	major	ADJ
cana-1547	6	29	concern	concern	NOUN
cana-1547	6	30	this	this	DET
cana-1547	6	31	paper	paper	NOUN
cana-1547	6	32	presents	present	VERB
cana-1547	6	33	a	a	DET
cana-1547	6	34	new	new	ADJ
cana-1547	6	35	approach	approach	NOUN
cana-1547	6	36	so	so	ADV
cana-1547	6	37	detect	detect	VERB
cana-1547	6	38	mri	mri	NOUN
cana-1547	6	39	using	use	VERB
cana-1547	6	40	wavelet	wavelet	NOUN
cana-1547	6	41	convolution	convolution	NOUN
cana-1547	6	42	neural	neural	ADJ
cana-1547	6	43	network	network	NOUN
cana-1547	6	44	(	(	PUNCT
cana-1547	6	45	wcnn	wcnn	NOUN
cana-1547	6	46	)	)	PUNCT
cana-1547	6	47	is	be	AUX
cana-1547	6	48	proposed	propose	VERB
cana-1547	6	49	.	.	PUNCT
cana-1547	7	1	the	the	DET
cana-1547	7	2	new	new	ADJ
cana-1547	7	3	invention	invention	NOUN
cana-1547	7	4	is	be	AUX
cana-1547	7	5	based	base	VERB
cana-1547	7	6	on	on	ADP
cana-1547	7	7	the	the	DET
cana-1547	7	8	incorporation	incorporation	NOUN
cana-1547	7	9	of	of	ADP
cana-1547	7	10	the	the	DET
cana-1547	7	11	wavelet	wavelet	NOUN
cana-1547	7	12	transform	transform	NOUN
cana-1547	7	13	into	into	ADP
cana-1547	7	14	the	the	DET
cana-1547	7	15	cnn	cnn	PROPN
cana-1547	7	16	algorithm	algorithm	NOUN
cana-1547	7	17	,	,	PUNCT
cana-1547	7	18	allowing	allow	VERB
cana-1547	7	19	the	the	DET
cana-1547	7	20	model	model	NOUN
cana-1547	7	21	to	to	PART
cana-1547	7	22	better	well	ADV
cana-1547	7	23	capture	capture	VERB
cana-1547	7	24	multi	multi	ADJ
cana-1547	7	25	-	-	ADJ
cana-1547	7	26	scale	scale	ADJ
cana-1547	7	27	features	feature	NOUN
cana-1547	7	28	in	in	ADP
cana-1547	7	29	brain	brain	NOUN
cana-1547	7	30	mri	mri	NOUN
cana-1547	7	31	images	image	NOUN
cana-1547	7	32	.	.	PUNCT
cana-1547	8	1	furthermore	furthermore	ADV
cana-1547	8	2	,	,	PUNCT
cana-1547	8	3	the	the	DET
cana-1547	8	4	study	study	NOUN
cana-1547	8	5	utilizes	utilize	VERB
cana-1547	8	6	the	the	DET
cana-1547	8	7	brats	brat	NOUN
cana-1547	8	8	dataset	dataset	VERB
cana-1547	8	9	from	from	ADP
cana-1547	8	10	2023	2023	NUM
cana-1547	8	11	provided	provide	VERB
cana-1547	8	12	by	by	ADP
cana-1547	8	13	kagal	kagal	PROPN
cana-1547	8	14	,	,	PUNCT
cana-1547	8	15	which	which	PRON
cana-1547	8	16	encompasses	encompass	VERB
cana-1547	8	17	a	a	DET
cana-1547	8	18	diverse	diverse	ADJ
cana-1547	8	19	range	range	NOUN
cana-1547	8	20	of	of	ADP
cana-1547	8	21	brain	brain	NOUN
cana-1547	8	22	tumor	tumor	NOUN
cana-1547	8	23	cases	case	NOUN
cana-1547	8	24	,	,	PUNCT
cana-1547	8	25	facilitating	facilitate	VERB
cana-1547	8	26	robust	robust	ADJ
cana-1547	8	27	evaluation	evaluation	NOUN
cana-1547	8	28	of	of	ADP
cana-1547	8	29	the	the	DET
cana-1547	8	30	proposed	propose	VERB
cana-1547	8	31	method	method	NOUN
cana-1547	8	32	.	.	PUNCT
cana-1547	9	1	comparative	comparative	ADJ
cana-1547	9	2	analysis	analysis	NOUN
cana-1547	9	3	against	against	ADP
cana-1547	9	4	state	state	NOUN
cana-1547	9	5	-	-	PUNCT
cana-1547	9	6	of	of	ADP
cana-1547	9	7	-	-	PUNCT
cana-1547	9	8	the	the	DET
cana-1547	9	9	-	-	PUNCT
cana-1547	9	10	art	art	NOUN
cana-1547	9	11	diagnostic	diagnostic	ADJ
cana-1547	9	12	techniques	technique	NOUN
cana-1547	9	13	demonstrates	demonstrate	VERB
cana-1547	9	14	superior	superior	ADJ
cana-1547	9	15	performance	performance	NOUN
cana-1547	9	16	,	,	PUNCT
cana-1547	9	17	with	with	ADP
cana-1547	9	18	an	an	DET
cana-1547	9	19	overall	overall	ADJ
cana-1547	9	20	accuracy	accuracy	NOUN
cana-1547	9	21	of	of	ADP
cana-1547	9	22	96.69	96.69	NUM
cana-1547	9	23	percent	percent	NOUN
cana-1547	9	24	,	,	PUNCT
cana-1547	9	25	showcasing	showcase	VERB
cana-1547	9	26	the	the	DET
cana-1547	9	27	efficacy	efficacy	NOUN
cana-1547	9	28	and	and	CCONJ
cana-1547	9	29	potential	potential	NOUN
cana-1547	9	30	of	of	ADP
cana-1547	9	31	the	the	DET
cana-1547	9	32	proposed	propose	VERB
cana-1547	9	33	approach	approach	NOUN
cana-1547	9	34	in	in	ADP
cana-1547	9	35	enhancing	enhance	VERB
cana-1547	9	36	brain	brain	NOUN
cana-1547	9	37	tumor	tumor	NOUN
cana-1547	9	38	diagnosis	diagnosis	NOUN
cana-1547	9	39	.	.	PUNCT
cana-1547	9	40	"	"	PUNCT
cana-1547	10	1	keywords	keyword	NOUN
cana-1547	10	2	:	:	PUNCT
cana-1547	10	3	brain	brain	NOUN
cana-1547	10	4	tumor	tumor	NOUN
cana-1547	10	5	;	;	PUNCT
cana-1547	10	6	cancer	cancer	NOUN
cana-1547	10	7	detection	detection	NOUN
cana-1547	10	8	;	;	PUNCT
cana-1547	10	9	wavelet	wavelet	NOUN
cana-1547	10	10	transform	transform	NOUN
cana-1547	10	11	;	;	PUNCT
cana-1547	10	12	convolution	convolution	NOUN
cana-1547	10	13	neural	neural	ADJ
cana-1547	10	14	networks	network	NOUN
cana-1547	10	15	;	;	PUNCT
cana-1547	10	16	magnetic	magnetic	ADJ
cana-1547	10	17	resonance	resonance	NOUN
cana-1547	10	18	imaging	imaging	NOUN
cana-1547	10	19	.	.	PUNCT
cana-1547	11	1	1	1	X
cana-1547	11	2	.	.	X
cana-1547	11	3	introduction	introduction	NOUN
cana-1547	11	4	tumor	tumor	NOUN
cana-1547	11	5	is	be	AUX
cana-1547	11	6	a	a	DET
cana-1547	11	7	group	group	NOUN
cana-1547	11	8	of	of	ADP
cana-1547	11	9	tissue	tissue	NOUN
cana-1547	11	10	,	,	PUNCT
cana-1547	11	11	which	which	PRON
cana-1547	11	12	is	be	AUX
cana-1547	11	13	abnormal	abnormal	ADJ
cana-1547	11	14	in	in	ADP
cana-1547	11	15	structure	structure	NOUN
cana-1547	11	16	and	and	CCONJ
cana-1547	11	17	function	function	NOUN
cana-1547	11	18	,	,	PUNCT
cana-1547	11	19	proliferating	proliferate	VERB
cana-1547	11	20	in	in	ADP
cana-1547	11	21	an	an	DET
cana-1547	11	22	uncontrolled	uncontrolled	ADJ
cana-1547	11	23	unregulated	unregulated	ADJ
cana-1547	11	24	manner	manner	NOUN
cana-1547	11	25	and	and	CCONJ
cana-1547	11	26	can	can	AUX
cana-1547	11	27	be	be	AUX
cana-1547	11	28	benign	benign	ADJ
cana-1547	11	29	or	or	CCONJ
cana-1547	11	30	malignant	malignant	ADJ
cana-1547	11	31	.	.	PUNCT
cana-1547	12	1	unlike	unlike	ADP
cana-1547	12	2	malignant	malignant	ADJ
cana-1547	12	3	tumors	tumor	NOUN
cana-1547	12	4	,	,	PUNCT
cana-1547	12	5	benign	benign	ADJ
cana-1547	12	6	ones	one	NOUN
cana-1547	12	7	are	be	AUX
cana-1547	12	8	usually	usually	ADV
cana-1547	12	9	not	not	PART
cana-1547	12	10	associated	associate	VERB
cana-1547	12	11	with	with	ADP
cana-1547	12	12	significant	significant	ADJ
cana-1547	12	13	morbidity	morbidity	NOUN
cana-1547	12	14	and	and	CCONJ
cana-1547	12	15	disease	disease	NOUN
cana-1547	12	16	burden	burden	NOUN
cana-1547	12	17	and	and	CCONJ
cana-1547	12	18	have	have	VERB
cana-1547	12	19	less	less	ADJ
cana-1547	12	20	mortality	mortality	NOUN
cana-1547	12	21	despite	despite	SCONJ
cana-1547	12	22	being	be	AUX
cana-1547	12	23	more	more	ADV
cana-1547	12	24	common	common	ADJ
cana-1547	12	25	.	.	PUNCT
cana-1547	13	1	magnitude	magnitude	NOUN
cana-1547	13	2	of	of	ADP
cana-1547	13	3	the	the	DET
cana-1547	13	4	problem	problem	NOUN
cana-1547	13	5	can	can	AUX
cana-1547	13	6	be	be	AUX
cana-1547	13	7	assessed	assess	VERB
cana-1547	13	8	by	by	ADP
cana-1547	13	9	the	the	DET
cana-1547	13	10	fact	fact	NOUN
cana-1547	13	11	that	that	SCONJ
cana-1547	13	12	cancer	cancer	NOUN
cana-1547	13	13	is	be	AUX
cana-1547	13	14	the	the	DET
cana-1547	13	15	second	second	ADJ
cana-1547	13	16	leading	leading	ADJ
cana-1547	13	17	cause	cause	NOUN
cana-1547	13	18	of	of	ADP
cana-1547	13	19	death	death	NOUN
cana-1547	13	20	after	after	ADP
cana-1547	13	21	heart	heart	NOUN
cana-1547	13	22	diseases	disease	NOUN
cana-1547	13	23	(	(	PUNCT
cana-1547	13	24	ostrom	ostrom	NOUN
cana-1547	13	25	,	,	PUNCT
cana-1547	13	26	2022	2022	NUM
cana-1547	13	27	)	)	PUNCT
cana-1547	13	28	.	.	PUNCT
cana-1547	14	1	apart	apart	ADV
cana-1547	14	2	from	from	ADP
cana-1547	14	3	distant	distant	ADJ
cana-1547	14	4	metastases	metastasis	NOUN
cana-1547	14	5	in	in	ADP
cana-1547	14	6	case	case	NOUN
cana-1547	14	7	of	of	ADP
cana-1547	14	8	malignant	malignant	ADJ
cana-1547	14	9	tumors	tumor	NOUN
cana-1547	14	10	,	,	PUNCT
cana-1547	14	11	brain	brain	NOUN
cana-1547	14	12	tumors	tumor	NOUN
cana-1547	14	13	clinically	clinically	ADV
cana-1547	14	14	manifest	manifest	VERB
cana-1547	14	15	as	as	ADP
cana-1547	14	16	space	space	NOUN
cana-1547	14	17	occupying	occupy	VERB
cana-1547	14	18	lesion	lesion	NOUN
cana-1547	14	19	causing	cause	VERB
cana-1547	14	20	mass	mass	ADJ
cana-1547	14	21	effects	effect	NOUN
cana-1547	14	22	and	and	CCONJ
cana-1547	14	23	invasion	invasion	NOUN
cana-1547	14	24	and	and	CCONJ
cana-1547	14	25	destruction	destruction	NOUN
cana-1547	14	26	of	of	ADP
cana-1547	14	27	adjacent	adjacent	ADJ
cana-1547	14	28	structures	structure	NOUN
cana-1547	14	29	.	.	PUNCT
cana-1547	15	1	various	various	ADJ
cana-1547	15	2	physiological	physiological	ADJ
cana-1547	15	3	functions	function	NOUN
cana-1547	15	4	are	be	AUX
cana-1547	15	5	affected	affect	VERB
cana-1547	15	6	leading	lead	VERB
cana-1547	15	7	to	to	ADP
cana-1547	15	8	clinical	clinical	ADJ
cana-1547	15	9	signs	sign	NOUN
cana-1547	15	10	and	and	CCONJ
cana-1547	15	11	symptoms	symptom	NOUN
cana-1547	15	12	.	.	PUNCT
cana-1547	16	1	loss	loss	NOUN
cana-1547	16	2	of	of	ADP
cana-1547	16	3	vision	vision	NOUN
cana-1547	16	4	or	or	CCONJ
cana-1547	16	5	hearing	hearing	NOUN
cana-1547	16	6	,	,	PUNCT
cana-1547	16	7	imbalance	imbalance	NOUN
cana-1547	16	8	,	,	PUNCT
cana-1547	16	9	difficulty	difficulty	NOUN
cana-1547	16	10	in	in	ADP
cana-1547	16	11	walking	walk	VERB
cana-1547	16	12	,	,	PUNCT
cana-1547	16	13	abnormal	abnormal	ADJ
cana-1547	16	14	movements	movement	NOUN
cana-1547	16	15	,	,	PUNCT
cana-1547	16	16	bladder	bladder	NOUN
cana-1547	16	17	and	and	CCONJ
cana-1547	16	18	bowel	bowel	NOUN
cana-1547	16	19	disturbances	disturbance	NOUN
cana-1547	16	20	,	,	PUNCT
cana-1547	16	21	impairment	impairment	NOUN
cana-1547	16	22	of	of	ADP
cana-1547	16	23	memory	memory	NOUN
cana-1547	16	24	and	and	CCONJ
cana-1547	16	25	higher	high	ADJ
cana-1547	16	26	mental	mental	ADJ
cana-1547	16	27	functions	function	NOUN
cana-1547	16	28	are	be	AUX
cana-1547	16	29	some	some	PRON
cana-1547	16	30	of	of	ADP
cana-1547	16	31	the	the	DET
cana-1547	16	32	common	common	ADJ
cana-1547	16	33	manifestations	manifestation	NOUN
cana-1547	16	34	of	of	ADP
cana-1547	16	35	brain	brain	NOUN
cana-1547	16	36	tumors	tumor	NOUN
cana-1547	16	37	.	.	PUNCT
cana-1547	17	1	along	along	ADP
cana-1547	17	2	with	with	ADP
cana-1547	17	3	patient	patient	ADJ
cana-1547	17	4	related	relate	VERB
cana-1547	17	5	characteristics	characteristic	NOUN
cana-1547	17	6	,	,	PUNCT
cana-1547	17	7	the	the	DET
cana-1547	17	8	location	location	NOUN
cana-1547	17	9	,	,	PUNCT
cana-1547	17	10	size	size	NOUN
cana-1547	17	11	and	and	CCONJ
cana-1547	17	12	the	the	DET
cana-1547	17	13	nature	nature	NOUN
cana-1547	17	14	of	of	ADP
cana-1547	17	15	tumor	tumor	NOUN
cana-1547	17	16	determines	determine	VERB
cana-1547	17	17	the	the	DET
cana-1547	17	18	clinical	clinical	ADJ
cana-1547	17	19	sign	sign	NOUN
cana-1547	17	20	and	and	CCONJ
cana-1547	17	21	symptoms	symptom	NOUN
cana-1547	17	22	.	.	PUNCT
cana-1547	18	1	brain	brain	NOUN
cana-1547	18	2	tumors	tumor	NOUN
cana-1547	18	3	(	(	PUNCT
cana-1547	18	4	bts	bts	PROPN
cana-1547	18	5	)	)	PUNCT
cana-1547	18	6	contributes	contribute	VERB
cana-1547	18	7	to	to	ADP
cana-1547	18	8	only	only	ADV
cana-1547	18	9	1	1	NUM
cana-1547	18	10	%	%	NOUN
cana-1547	18	11	of	of	ADP
cana-1547	18	12	all	all	DET
cana-1547	18	13	latterly	latterly	ADV
cana-1547	18	14	diagnosed	diagnose	VERB
cana-1547	18	15	cancers	cancer	NOUN
cana-1547	18	16	in	in	ADP
cana-1547	18	17	the	the	DET
cana-1547	18	18	us	us	PROPN
cana-1547	18	19	,	,	PUNCT
cana-1547	18	20	and	and	CCONJ
cana-1547	18	21	nearly	nearly	ADV
cana-1547	18	22	2	2	NUM
cana-1547	18	23	%	%	NOUN
cana-1547	18	24	of	of	ADP
cana-1547	18	25	the	the	DET
cana-1547	18	26	deaths	death	NOUN
cana-1547	18	27	caused	cause	VERB
cana-1547	18	28	by	by	ADP
cana-1547	18	29	cancers	cancer	NOUN
cana-1547	18	30	overall(siegel	overall(siegel	NOUN
cana-1547	18	31	,	,	PUNCT
cana-1547	18	32	2018).apart	2018).apart	NUM
cana-1547	18	33	from	from	ADP
cana-1547	18	34	genetic	genetic	ADJ
cana-1547	18	35	risk	risk	NOUN
cana-1547	18	36	factors	factor	NOUN
cana-1547	18	37	and	and	CCONJ
cana-1547	18	38	demographic	demographic	ADJ
cana-1547	18	39	factors	factor	NOUN
cana-1547	18	40	,	,	PUNCT
cana-1547	18	41	environmental	environmental	ADJ
cana-1547	18	42	factors	factor	NOUN
cana-1547	18	43	such	such	ADJ
cana-1547	18	44	as	as	ADP
cana-1547	18	45	smoking	smoking	NOUN
cana-1547	18	46	,	,	PUNCT
cana-1547	18	47	ionizing	ionize	VERB
cana-1547	18	48	radiations	radiation	NOUN
cana-1547	18	49	and	and	CCONJ
cana-1547	18	50	congenital	congenital	ADJ
cana-1547	18	51	central	central	ADJ
cana-1547	18	52	nervous	nervous	ADJ
cana-1547	18	53	system	system	NOUN
cana-1547	18	54	malformations	malformation	NOUN
cana-1547	18	55	are	be	AUX
cana-1547	18	56	among	among	ADP
cana-1547	18	57	the	the	DET
cana-1547	18	58	communications	communication	NOUN
cana-1547	18	59	on	on	ADP
cana-1547	18	60	applied	apply	VERB
cana-1547	18	61	nonlinear	nonlinear	ADJ
cana-1547	18	62	analysis	analysis	NOUN
cana-1547	18	63	issn	issn	NOUN
cana-1547	18	64	:	:	PUNCT
cana-1547	18	65	1074	1074	NUM
cana-1547	18	66	-	-	PUNCT
cana-1547	18	67	133x	133x	NUM
cana-1547	18	68	vol	vol	NOUN
cana-1547	18	69	31	31	NUM
cana-1547	18	70	no	no	NOUN
cana-1547	18	71	.	.	PUNCT
cana-1547	19	1	8s	8s	PROPN
cana-1547	19	2	(	(	PUNCT
cana-1547	19	3	2024	2024	NUM
cana-1547	19	4	)	)	PUNCT
cana-1547	19	5	542	542	NUM
cana-1547	19	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1547	19	7	main	main	ADJ
cana-1547	19	8	risk	risk	NOUN
cana-1547	19	9	factors	factor	NOUN
cana-1547	19	10	that	that	PRON
cana-1547	19	11	contribute	contribute	VERB
cana-1547	19	12	to	to	ADP
cana-1547	19	13	the	the	DET
cana-1547	19	14	development	development	NOUN
cana-1547	19	15	of	of	ADP
cana-1547	19	16	brain	brain	NOUN
cana-1547	19	17	tumors	tumor	NOUN
cana-1547	19	18	.	.	PUNCT
cana-1547	20	1	several	several	ADJ
cana-1547	20	2	studies	study	NOUN
cana-1547	20	3	have	have	AUX
cana-1547	20	4	also	also	ADV
cana-1547	20	5	witnessed	witness	VERB
cana-1547	20	6	connection	connection	NOUN
cana-1547	20	7	between	between	ADP
cana-1547	20	8	the	the	DET
cana-1547	20	9	use	use	NOUN
cana-1547	20	10	of	of	ADP
cana-1547	20	11	cell	cell	NOUN
cana-1547	20	12	phones	phone	NOUN
cana-1547	20	13	and	and	CCONJ
cana-1547	20	14	brain	brain	NOUN
cana-1547	20	15	tumors	tumor	NOUN
cana-1547	20	16	.	.	PUNCT
cana-1547	21	1	however	however	ADV
cana-1547	21	2	,	,	PUNCT
cana-1547	21	3	the	the	DET
cana-1547	21	4	epidemiological	epidemiological	ADJ
cana-1547	21	5	evidences	evidence	NOUN
cana-1547	21	6	printed	print	VERB
cana-1547	21	7	earlier	early	ADV
cana-1547	21	8	in	in	ADP
cana-1547	21	9	2011	2011	NUM
cana-1547	21	10	in	in	ADP
cana-1547	21	11	the	the	DET
cana-1547	21	12	interphone	interphone	NOUN
cana-1547	21	13	consortium	consortium	NOUN
cana-1547	21	14	scraps	scrap	NOUN
cana-1547	21	15	any	any	DET
cana-1547	21	16	kind	kind	NOUN
cana-1547	21	17	of	of	ADP
cana-1547	21	18	relationship	relationship	NOUN
cana-1547	21	19	between	between	ADP
cana-1547	21	20	the	the	DET
cana-1547	21	21	mobile	mobile	ADJ
cana-1547	21	22	phone	phone	NOUN
cana-1547	21	23	and	and	CCONJ
cana-1547	21	24	cause	cause	NOUN
cana-1547	21	25	of	of	ADP
cana-1547	21	26	brain	brain	NOUN
cana-1547	21	27	tumor	tumor	NOUN
cana-1547	21	28	.	.	PUNCT
cana-1547	22	1	but	but	CCONJ
cana-1547	22	2	,	,	PUNCT
cana-1547	22	3	even	even	ADV
cana-1547	22	4	if	if	SCONJ
cana-1547	22	5	the	the	DET
cana-1547	22	6	relationship	relationship	NOUN
cana-1547	22	7	exists	exist	VERB
cana-1547	22	8	,	,	PUNCT
cana-1547	22	9	the	the	DET
cana-1547	22	10	latency	latency	NOUN
cana-1547	22	11	period	period	NOUN
cana-1547	22	12	for	for	ADP
cana-1547	22	13	which	which	PRON
cana-1547	22	14	the	the	DET
cana-1547	22	15	mobile	mobile	ADJ
cana-1547	22	16	radiations	radiation	NOUN
cana-1547	22	17	are	be	AUX
cana-1547	22	18	exposed	expose	VERB
cana-1547	22	19	to	to	ADP
cana-1547	22	20	the	the	DET
cana-1547	22	21	body	body	NOUN
cana-1547	22	22	is	be	AUX
cana-1547	22	23	still	still	ADV
cana-1547	22	24	not	not	PART
cana-1547	22	25	known	know	VERB
cana-1547	22	26	(	(	PUNCT
cana-1547	22	27	ostrom	ostrom	PROPN
cana-1547	22	28	,	,	PUNCT
cana-1547	22	29	2020	2020	NUM
cana-1547	22	30	)	)	PUNCT
cana-1547	22	31	.	.	PUNCT
cana-1547	23	1	commonly	commonly	ADV
cana-1547	23	2	,	,	PUNCT
cana-1547	23	3	brain	brain	NOUN
cana-1547	23	4	cancers	cancer	NOUN
cana-1547	23	5	are	be	AUX
cana-1547	23	6	classified	classify	VERB
cana-1547	23	7	according	accord	VERB
cana-1547	23	8	to	to	ADP
cana-1547	23	9	the	the	DET
cana-1547	23	10	characteristics	characteristic	NOUN
cana-1547	23	11	extracted	extract	VERB
cana-1547	23	12	from	from	ADP
cana-1547	23	13	an	an	DET
cana-1547	23	14	mri	mri	NOUN
cana-1547	23	15	scan	scan	NOUN
cana-1547	23	16	of	of	ADP
cana-1547	23	17	the	the	DET
cana-1547	23	18	tumor	tumor	NOUN
cana-1547	23	19	-	-	PUNCT
cana-1547	23	20	bearing	bear	VERB
cana-1547	23	21	regions	region	NOUN
cana-1547	23	22	.	.	PUNCT
cana-1547	24	1	related	relate	VERB
cana-1547	24	2	literature	literature	NOUN
cana-1547	24	3	on	on	ADP
cana-1547	24	4	the	the	DET
cana-1547	24	5	brain	brain	NOUN
cana-1547	24	6	cancer	cancer	NOUN
cana-1547	24	7	has	have	AUX
cana-1547	24	8	provided	provide	VERB
cana-1547	24	9	useful	useful	ADJ
cana-1547	24	10	information	information	NOUN
cana-1547	24	11	for	for	ADP
cana-1547	24	12	detecting	detect	VERB
cana-1547	24	13	brain	brain	NOUN
cana-1547	24	14	tumors	tumor	NOUN
cana-1547	24	15	.	.	PUNCT
cana-1547	25	1	some	some	DET
cana-1547	25	2	features	feature	NOUN
cana-1547	25	3	include	include	VERB
cana-1547	25	4	the	the	DET
cana-1547	25	5	pixel	pixel	PROPN
cana-1547	25	6	strength	strength	NOUN
cana-1547	25	7	of	of	ADP
cana-1547	25	8	the	the	DET
cana-1547	25	9	tumor	tumor	NOUN
cana-1547	25	10	area	area	NOUN
cana-1547	25	11	and	and	CCONJ
cana-1547	25	12	the	the	DET
cana-1547	25	13	structure	structure	NOUN
cana-1547	25	14	of	of	ADP
cana-1547	25	15	the	the	DET
cana-1547	25	16	tumor	tumor	NOUN
cana-1547	25	17	tissue	tissue	NOUN
cana-1547	25	18	.	.	PUNCT
cana-1547	26	1	a	a	DET
cana-1547	26	2	categorization	categorization	NOUN
cana-1547	26	3	technique	technique	NOUN
cana-1547	26	4	that	that	PRON
cana-1547	26	5	uses	use	VERB
cana-1547	26	6	first	first	ADJ
cana-1547	26	7	-	-	PUNCT
cana-1547	26	8	order	order	NOUN
cana-1547	26	9	statistics	statistic	NOUN
cana-1547	26	10	was	be	AUX
cana-1547	26	11	used	use	VERB
cana-1547	26	12	to	to	PART
cana-1547	26	13	create	create	VERB
cana-1547	26	14	data	datum	NOUN
cana-1547	26	15	for	for	ADP
cana-1547	26	16	pixels	pixel	NOUN
cana-1547	26	17	in	in	ADP
cana-1547	26	18	tumor	tumor	NOUN
cana-1547	26	19	regions	region	NOUN
cana-1547	26	20	.	.	PUNCT
cana-1547	27	1	the	the	DET
cana-1547	27	2	textural	textural	ADJ
cana-1547	27	3	features	feature	NOUN
cana-1547	27	4	acquired	acquire	VERB
cana-1547	27	5	from	from	ADP
cana-1547	27	6	tumor	tumor	NOUN
cana-1547	27	7	regions	region	NOUN
cana-1547	27	8	with	with	ADP
cana-1547	27	9	wavelet	wavelet	NOUN
cana-1547	27	10	transforms	transform	NOUN
cana-1547	27	11	are	be	AUX
cana-1547	27	12	used	use	VERB
cana-1547	27	13	to	to	PART
cana-1547	27	14	generate	generate	VERB
cana-1547	27	15	categorization	categorization	NOUN
cana-1547	27	16	using	use	VERB
cana-1547	27	17	neural	neural	ADJ
cana-1547	27	18	network	network	NOUN
cana-1547	27	19	(	(	PUNCT
cana-1547	27	20	sarhan	sarhan	NOUN
cana-1547	27	21	,	,	PUNCT
cana-1547	27	22	2018	2018	NUM
cana-1547	27	23	)	)	PUNCT
cana-1547	27	24	&	&	CCONJ
cana-1547	27	25	(	(	PUNCT
cana-1547	27	26	kumar	kumar	PROPN
cana-1547	27	27	,	,	PUNCT
cana-1547	27	28	2021	2021	NUM
cana-1547	27	29	)	)	PUNCT
cana-1547	27	30	.	.	PUNCT
cana-1547	28	1	gabor	gabor	PROPN
cana-1547	28	2	filters	filter	NOUN
cana-1547	28	3	are	be	AUX
cana-1547	28	4	used	use	VERB
cana-1547	28	5	to	to	PART
cana-1547	28	6	produce	produce	VERB
cana-1547	28	7	textural	textural	ADJ
cana-1547	28	8	features	feature	NOUN
cana-1547	28	9	that	that	PRON
cana-1547	28	10	can	can	AUX
cana-1547	28	11	be	be	AUX
cana-1547	28	12	utilized	utilize	VERB
cana-1547	28	13	to	to	PART
cana-1547	28	14	identify	identify	VERB
cana-1547	28	15	brain	brain	NOUN
cana-1547	28	16	tumors	tumor	NOUN
cana-1547	28	17	from	from	ADP
cana-1547	28	18	other	other	ADJ
cana-1547	28	19	regions	region	NOUN
cana-1547	28	20	.	.	PUNCT
cana-1547	29	1	numerous	numerous	ADJ
cana-1547	29	2	bt	bt	NOUN
cana-1547	29	3	treatment	treatment	NOUN
cana-1547	29	4	are	be	AUX
cana-1547	29	5	available	available	ADJ
cana-1547	29	6	for	for	ADP
cana-1547	29	7	brain	brain	NOUN
cana-1547	29	8	cancer	cancer	NOUN
cana-1547	29	9	patients	patient	NOUN
cana-1547	29	10	,	,	PUNCT
cana-1547	29	11	including	include	VERB
cana-1547	29	12	radiation	radiation	NOUN
cana-1547	29	13	,	,	PUNCT
cana-1547	29	14	surgery	surgery	NOUN
cana-1547	29	15	,	,	PUNCT
cana-1547	29	16	chemotherapy	chemotherapy	NOUN
cana-1547	29	17	,	,	PUNCT
cana-1547	29	18	or	or	CCONJ
cana-1547	29	19	a	a	DET
cana-1547	29	20	combination	combination	NOUN
cana-1547	29	21	of	of	ADP
cana-1547	29	22	these	these	DET
cana-1547	29	23	therapies	therapy	NOUN
cana-1547	29	24	as	as	SCONJ
cana-1547	29	25	used	use	VERB
cana-1547	29	26	in	in	ADP
cana-1547	29	27	most	most	ADJ
cana-1547	29	28	of	of	ADP
cana-1547	29	29	the	the	DET
cana-1547	29	30	cases	case	NOUN
cana-1547	29	31	.	.	PUNCT
cana-1547	30	1	decision	decision	NOUN
cana-1547	30	2	to	to	PART
cana-1547	30	3	choose	choose	VERB
cana-1547	30	4	specific	specific	ADJ
cana-1547	30	5	treatment	treatment	NOUN
cana-1547	30	6	option	option	NOUN
cana-1547	30	7	depends	depend	VERB
cana-1547	30	8	upon	upon	SCONJ
cana-1547	30	9	various	various	ADJ
cana-1547	30	10	factors	factor	NOUN
cana-1547	30	11	,	,	PUNCT
cana-1547	30	12	which	which	PRON
cana-1547	30	13	include	include	VERB
cana-1547	30	14	tumor	tumor	NOUN
cana-1547	30	15	characteristics	characteristic	NOUN
cana-1547	30	16	,	,	PUNCT
cana-1547	30	17	patient	patient	ADJ
cana-1547	30	18	related	relate	VERB
cana-1547	30	19	factors	factor	NOUN
cana-1547	30	20	,	,	PUNCT
cana-1547	30	21	cost	cost	NOUN
cana-1547	30	22	and	and	CCONJ
cana-1547	30	23	availability	availability	NOUN
cana-1547	30	24	of	of	ADP
cana-1547	30	25	the	the	DET
cana-1547	30	26	specific	specific	ADJ
cana-1547	30	27	treatment	treatment	NOUN
cana-1547	30	28	modality	modality	NOUN
cana-1547	30	29	.	.	PUNCT
cana-1547	31	1	furthermore	furthermore	ADV
cana-1547	31	2	,	,	PUNCT
cana-1547	31	3	for	for	ADP
cana-1547	31	4	patients	patient	NOUN
cana-1547	31	5	with	with	ADP
cana-1547	31	6	brain	brain	NOUN
cana-1547	31	7	tumors	tumor	NOUN
cana-1547	31	8	,	,	PUNCT
cana-1547	31	9	radiation	radiation	NOUN
cana-1547	31	10	therapy	therapy	NOUN
cana-1547	31	11	is	be	AUX
cana-1547	31	12	the	the	DET
cana-1547	31	13	initial	initial	ADJ
cana-1547	31	14	step	step	NOUN
cana-1547	31	15	to	to	PART
cana-1547	31	16	decrease	decrease	VERB
cana-1547	31	17	the	the	DET
cana-1547	31	18	tumor	tumor	NOUN
cana-1547	31	19	size	size	NOUN
cana-1547	31	20	and	and	CCONJ
cana-1547	31	21	makes	make	VERB
cana-1547	31	22	it	it	PRON
cana-1547	31	23	more	more	ADV
cana-1547	31	24	amenable	amenable	ADJ
cana-1547	31	25	for	for	ADP
cana-1547	31	26	surgical	surgical	ADJ
cana-1547	31	27	excision	excision	NOUN
cana-1547	31	28	.	.	PUNCT
cana-1547	32	1	residual	residual	ADJ
cana-1547	32	2	tumors	tumor	NOUN
cana-1547	32	3	can	can	AUX
cana-1547	32	4	be	be	AUX
cana-1547	32	5	treated	treat	VERB
cana-1547	32	6	with	with	ADP
cana-1547	32	7	either	either	CCONJ
cana-1547	32	8	chemotherapy	chemotherapy	NOUN
cana-1547	32	9	or	or	CCONJ
cana-1547	32	10	radiotherapy	radiotherapy	NOUN
cana-1547	32	11	(	(	PUNCT
cana-1547	32	12	kumar	kumar	PROPN
cana-1547	32	13	,	,	PUNCT
cana-1547	32	14	2020	2020	NUM
cana-1547	32	15	)	)	PUNCT
cana-1547	32	16	&	&	CCONJ
cana-1547	32	17	(	(	PUNCT
cana-1547	32	18	kumar	kumar	PROPN
cana-1547	32	19	,	,	PUNCT
cana-1547	32	20	2018	2018	NUM
cana-1547	32	21	)	)	PUNCT
cana-1547	32	22	.	.	PUNCT
cana-1547	33	1	mri	mri	NOUN
cana-1547	33	2	is	be	AUX
cana-1547	33	3	the	the	DET
cana-1547	33	4	best	good	ADJ
cana-1547	33	5	diagnostic	diagnostic	ADJ
cana-1547	33	6	tool	tool	NOUN
cana-1547	33	7	to	to	PART
cana-1547	33	8	detect	detect	VERB
cana-1547	33	9	a	a	DET
cana-1547	33	10	brain	brain	NOUN
cana-1547	33	11	tumor	tumor	NOUN
cana-1547	33	12	as	as	SCONJ
cana-1547	33	13	it	it	PRON
cana-1547	33	14	produces	produce	VERB
cana-1547	33	15	more	more	ADV
cana-1547	33	16	detailed	detailed	ADJ
cana-1547	33	17	images	image	NOUN
cana-1547	33	18	in	in	ADP
cana-1547	33	19	comparison	comparison	NOUN
cana-1547	33	20	to	to	ADP
cana-1547	33	21	ct	ct	NUM
cana-1547	33	22	scans	scan	NOUN
cana-1547	33	23	.	.	PUNCT
cana-1547	34	1	mri	mri	NOUN
cana-1547	34	2	is	be	AUX
cana-1547	34	3	a	a	DET
cana-1547	34	4	simple	simple	ADJ
cana-1547	34	5	and	and	CCONJ
cana-1547	34	6	all	all	ADV
cana-1547	34	7	-	-	PUNCT
cana-1547	34	8	encompassing	encompass	VERB
cana-1547	34	9	procedure	procedure	NOUN
cana-1547	34	10	and	and	CCONJ
cana-1547	34	11	is	be	AUX
cana-1547	34	12	carried	carry	VERB
cana-1547	34	13	out	out	ADP
cana-1547	34	14	using	use	VERB
cana-1547	34	15	magnetic	magnetic	ADJ
cana-1547	34	16	imaging	imaging	NOUN
cana-1547	34	17	.	.	PUNCT
cana-1547	35	1	mris	mris	PROPN
cana-1547	35	2	for	for	ADP
cana-1547	35	3	spinal	spinal	ADJ
cana-1547	35	4	cord	cord	NOUN
cana-1547	35	5	,	,	PUNCT
cana-1547	35	6	the	the	DET
cana-1547	35	7	brain	brain	NOUN
cana-1547	35	8	,	,	PUNCT
cana-1547	35	9	or	or	CCONJ
cana-1547	35	10	both	both	PRON
cana-1547	35	11	,	,	PUNCT
cana-1547	35	12	according	accord	VERB
cana-1547	35	13	to	to	ADP
cana-1547	35	14	the	the	DET
cana-1547	35	15	type	type	NOUN
cana-1547	35	16	of	of	ADP
cana-1547	35	17	tumor	tumor	NOUN
cana-1547	35	18	are	be	AUX
cana-1547	35	19	done	do	VERB
cana-1547	35	20	before	before	ADP
cana-1547	35	21	initiation	initiation	NOUN
cana-1547	35	22	of	of	ADP
cana-1547	35	23	treatment	treatment	NOUN
cana-1547	35	24	to	to	PART
cana-1547	35	25	get	get	VERB
cana-1547	35	26	detailed	detailed	ADJ
cana-1547	35	27	delineation	delineation	NOUN
cana-1547	35	28	of	of	ADP
cana-1547	35	29	the	the	DET
cana-1547	35	30	tumor	tumor	NOUN
cana-1547	35	31	(	(	PUNCT
cana-1547	35	32	altman	altman	PROPN
cana-1547	35	33	,	,	PUNCT
cana-1547	35	34	1992	1992	NUM
cana-1547	35	35	)	)	PUNCT
cana-1547	35	36	&	&	CCONJ
cana-1547	35	37	(	(	PUNCT
cana-1547	35	38	zhang	zhang	PROPN
cana-1547	35	39	,	,	PUNCT
cana-1547	35	40	2017	2017	NUM
cana-1547	35	41	)	)	PUNCT
cana-1547	35	42	.	.	PUNCT
cana-1547	36	1	multiple	multiple	ADJ
cana-1547	36	2	authors	author	NOUN
cana-1547	36	3	have	have	AUX
cana-1547	36	4	deployed	deploy	VERB
cana-1547	36	5	support	support	NOUN
cana-1547	36	6	vector	vector	NOUN
cana-1547	36	7	machine	machine	NOUN
cana-1547	36	8	(	(	PUNCT
cana-1547	36	9	svm	svm	PROPN
cana-1547	36	10	)	)	PUNCT
cana-1547	36	11	and	and	CCONJ
cana-1547	36	12	deep	deep	ADV
cana-1547	36	13	-	-	PUNCT
cana-1547	36	14	learning	learn	VERB
cana-1547	36	15	based	base	VERB
cana-1547	36	16	methods	method	NOUN
cana-1547	36	17	for	for	ADP
cana-1547	36	18	the	the	DET
cana-1547	36	19	classification	classification	NOUN
cana-1547	36	20	of	of	ADP
cana-1547	36	21	the	the	DET
cana-1547	36	22	mri	mri	NOUN
cana-1547	36	23	images	image	NOUN
cana-1547	36	24	as	as	ADP
cana-1547	36	25	the	the	DET
cana-1547	36	26	cancerous	cancerous	ADJ
cana-1547	36	27	and	and	CCONJ
cana-1547	36	28	benign	benign	ADJ
cana-1547	36	29	(	(	PUNCT
cana-1547	36	30	abiwinanda	abiwinanda	ADJ
cana-1547	36	31	,	,	PUNCT
cana-1547	36	32	2019	2019	NUM
cana-1547	36	33	)	)	PUNCT
cana-1547	36	34	&	&	CCONJ
cana-1547	36	35	(	(	PUNCT
cana-1547	36	36	kumari	kumari	PROPN
cana-1547	36	37	,	,	PUNCT
cana-1547	36	38	2013	2013	NUM
cana-1547	36	39	)	)	PUNCT
cana-1547	36	40	.	.	PUNCT
cana-1547	37	1	but	but	CCONJ
cana-1547	37	2	,	,	PUNCT
cana-1547	37	3	high	high	ADJ
cana-1547	37	4	accuracy	accuracy	NOUN
cana-1547	37	5	and	and	CCONJ
cana-1547	37	6	receptive	receptive	ADJ
cana-1547	37	7	field	field	NOUN
cana-1547	37	8	size	size	NOUN
cana-1547	37	9	have	have	AUX
cana-1547	37	10	been	be	AUX
cana-1547	37	11	the	the	DET
cana-1547	37	12	major	major	ADJ
cana-1547	37	13	issues	issue	NOUN
cana-1547	37	14	in	in	ADP
cana-1547	37	15	the	the	DET
cana-1547	37	16	cad	cad	NOUN
cana-1547	37	17	using	use	VERB
cana-1547	37	18	mris	mris	NOUN
cana-1547	37	19	.	.	PUNCT
cana-1547	38	1	so	so	ADV
cana-1547	38	2	,	,	PUNCT
cana-1547	38	3	in	in	ADP
cana-1547	38	4	the	the	DET
cana-1547	38	5	current	current	ADJ
cana-1547	38	6	article	article	NOUN
cana-1547	38	7	we	we	PRON
cana-1547	38	8	have	have	AUX
cana-1547	38	9	used	use	VERB
cana-1547	38	10	revolutionary	revolutionary	ADJ
cana-1547	38	11	categorization	categorization	NOUN
cana-1547	38	12	algorithm	algorithm	NOUN
cana-1547	38	13	based	base	VERB
cana-1547	38	14	on	on	ADP
cana-1547	38	15	wavelet	wavelet	NOUN
cana-1547	38	16	decomposition	decomposition	NOUN
cana-1547	38	17	and	and	CCONJ
cana-1547	38	18	groundbreaking	groundbreake	VERB
cana-1547	38	19	neural	neural	ADJ
cana-1547	38	20	networks	network	NOUN
cana-1547	38	21	,	,	PUNCT
cana-1547	38	22	a	a	DET
cana-1547	38	23	technique	technique	NOUN
cana-1547	38	24	known	know	VERB
cana-1547	38	25	as	as	ADP
cana-1547	38	26	wavelet	wavelet	NOUN
cana-1547	38	27	convolution	convolution	NOUN
cana-1547	38	28	neural	neural	ADJ
cana-1547	38	29	network	network	NOUN
cana-1547	38	30	(	(	PUNCT
cana-1547	38	31	wcnn	wcnn	NOUN
cana-1547	38	32	)	)	PUNCT
cana-1547	38	33	,	,	PUNCT
cana-1547	38	34	to	to	PART
cana-1547	38	35	detect	detect	VERB
cana-1547	38	36	cancer	cancer	NOUN
cana-1547	38	37	from	from	ADP
cana-1547	38	38	mris	mris	PROPN
cana-1547	38	39	and	and	CCONJ
cana-1547	38	40	the	the	DET
cana-1547	38	41	accuracy	accuracy	NOUN
cana-1547	38	42	of	of	ADP
cana-1547	38	43	the	the	DET
cana-1547	38	44	proposed	propose	VERB
cana-1547	38	45	work	work	NOUN
cana-1547	38	46	is	be	AUX
cana-1547	38	47	compared	compare	VERB
cana-1547	38	48	with	with	ADP
cana-1547	38	49	the	the	DET
cana-1547	38	50	existing	exist	VERB
cana-1547	38	51	state	state	NOUN
cana-1547	38	52	-	-	PUNCT
cana-1547	38	53	of	of	ADP
cana-1547	38	54	–	–	PUNCT
cana-1547	38	55	art	art	NOUN
cana-1547	38	56	technique	technique	NOUN
cana-1547	38	57	which	which	PRON
cana-1547	38	58	is	be	AUX
cana-1547	38	59	svm	svm	ADJ
cana-1547	38	60	.	.	PUNCT
cana-1547	39	1	our	our	PRON
cana-1547	39	2	study	study	NOUN
cana-1547	39	3	population	population	NOUN
cana-1547	39	4	consists	consist	VERB
cana-1547	39	5	of	of	ADP
cana-1547	39	6	patients	patient	NOUN
cana-1547	39	7	with	with	ADP
cana-1547	39	8	astrocytoma	astrocytoma	PROPN
cana-1547	39	9	’s	’s	ADV
cana-1547	39	10	of	of	ADP
cana-1547	39	11	various	various	ADJ
cana-1547	39	12	grades	grade	NOUN
cana-1547	39	13	.	.	PUNCT
cana-1547	40	1	motivation	motivation	NOUN
cana-1547	40	2	brain	brain	NOUN
cana-1547	40	3	tumors	tumor	NOUN
cana-1547	40	4	pose	pose	VERB
cana-1547	40	5	important	important	ADJ
cana-1547	40	6	health	health	NOUN
cana-1547	40	7	complications	complication	NOUN
cana-1547	40	8	because	because	SCONJ
cana-1547	40	9	of	of	ADP
cana-1547	40	10	their	their	PRON
cana-1547	40	11	heterogeneity	heterogeneity	NOUN
cana-1547	40	12	and	and	CCONJ
cana-1547	40	13	potential	potential	ADJ
cana-1547	40	14	morbidity	morbidity	NOUN
cana-1547	40	15	.	.	PUNCT
cana-1547	41	1	despite	despite	SCONJ
cana-1547	41	2	advances	advance	NOUN
cana-1547	41	3	in	in	ADP
cana-1547	41	4	diagnostic	diagnostic	ADJ
cana-1547	41	5	imaging	imaging	NOUN
cana-1547	41	6	,	,	PUNCT
cana-1547	41	7	accurate	accurate	ADJ
cana-1547	41	8	classification	classification	NOUN
cana-1547	41	9	remains	remain	VERB
cana-1547	41	10	a	a	DET
cana-1547	41	11	challenge	challenge	NOUN
cana-1547	41	12	.	.	PUNCT
cana-1547	42	1	traditional	traditional	ADJ
cana-1547	42	2	methods	method	NOUN
cana-1547	42	3	rely	rely	VERB
cana-1547	42	4	on	on	ADP
cana-1547	42	5	manual	manual	ADJ
cana-1547	42	6	interpretation	interpretation	NOUN
cana-1547	42	7	,	,	PUNCT
cana-1547	42	8	which	which	PRON
cana-1547	42	9	introduces	introduce	VERB
cana-1547	42	10	variability	variability	NOUN
cana-1547	42	11	and	and	CCONJ
cana-1547	42	12	potential	potential	ADJ
cana-1547	42	13	analytical	analytical	ADJ
cana-1547	42	14	errors	error	NOUN
cana-1547	42	15	.	.	PUNCT
cana-1547	43	1	in	in	ADP
cana-1547	43	2	this	this	DET
cana-1547	43	3	context	context	NOUN
cana-1547	43	4	,	,	PUNCT
cana-1547	43	5	the	the	DET
cana-1547	43	6	motivation	motivation	NOUN
cana-1547	43	7	behind	behind	ADP
cana-1547	43	8	this	this	DET
cana-1547	43	9	paper	paper	NOUN
cana-1547	43	10	is	be	AUX
cana-1547	43	11	towards	towards	ADP
cana-1547	43	12	.	.	PUNCT
cana-1547	44	1	first	first	ADV
cana-1547	44	2	,	,	PUNCT
cana-1547	44	3	the	the	DET
cana-1547	44	4	paper	paper	NOUN
cana-1547	44	5	discusses	discuss	VERB
cana-1547	44	6	the	the	DET
cana-1547	44	7	need	need	NOUN
cana-1547	44	8	for	for	ADP
cana-1547	44	9	greater	great	ADJ
cana-1547	44	10	accuracy	accuracy	NOUN
cana-1547	44	11	in	in	ADP
cana-1547	44	12	the	the	DET
cana-1547	44	13	classification	classification	NOUN
cana-1547	44	14	of	of	ADP
cana-1547	44	15	brain	brain	NOUN
cana-1547	44	16	tumors	tumor	NOUN
cana-1547	44	17	.	.	PUNCT
cana-1547	45	1	computer	computer	NOUN
cana-1547	45	2	assisted	assist	VERB
cana-1547	45	3	diagnostic	diagnostic	ADJ
cana-1547	45	4	(	(	PUNCT
cana-1547	45	5	cad	cad	NOUN
cana-1547	45	6	)	)	PUNCT
cana-1547	45	7	tools	tool	NOUN
cana-1547	45	8	,	,	PUNCT
cana-1547	45	9	while	while	SCONJ
cana-1547	45	10	helpful	helpful	ADJ
cana-1547	45	11	to	to	ADP
cana-1547	45	12	radiologists	radiologist	NOUN
cana-1547	45	13	,	,	PUNCT
cana-1547	45	14	are	be	AUX
cana-1547	45	15	rarely	rarely	ADV
cana-1547	45	16	highly	highly	ADV
cana-1547	45	17	accurate	accurate	ADJ
cana-1547	45	18	.	.	PUNCT
cana-1547	46	1	the	the	DET
cana-1547	46	2	proposed	propose	VERB
cana-1547	46	3	method	method	NOUN
cana-1547	46	4	introduces	introduce	VERB
cana-1547	46	5	a	a	DET
cana-1547	46	6	new	new	ADJ
cana-1547	46	7	method	method	NOUN
cana-1547	46	8	that	that	PRON
cana-1547	46	9	uses	use	VERB
cana-1547	46	10	wavelet	wavelet	NOUN
cana-1547	46	11	convolution	convolution	NOUN
cana-1547	46	12	neural	neural	ADJ
cana-1547	46	13	networks	network	NOUN
cana-1547	46	14	(	(	PUNCT
cana-1547	46	15	wcnn	wcnn	NOUN
cana-1547	46	16	)	)	PUNCT
cana-1547	46	17	.	.	PUNCT
cana-1547	47	1	by	by	ADP
cana-1547	47	2	integrating	integrate	VERB
cana-1547	47	3	wavelet	wavelet	NOUN
cana-1547	47	4	transform	transform	NOUN
cana-1547	47	5	with	with	ADP
cana-1547	47	6	cnn	cnn	PROPN
cana-1547	47	7	architecture	architecture	NOUN
cana-1547	47	8	,	,	PUNCT
cana-1547	47	9	the	the	DET
cana-1547	47	10	model	model	NOUN
cana-1547	47	11	captures	capture	VERB
cana-1547	47	12	multistate	multistate	NOUN
cana-1547	47	13	features	feature	NOUN
cana-1547	47	14	in	in	ADP
cana-1547	47	15	mri	mri	NOUN
cana-1547	47	16	communications	communication	NOUN
cana-1547	47	17	on	on	ADP
cana-1547	47	18	applied	apply	VERB
cana-1547	47	19	nonlinear	nonlinear	ADJ
cana-1547	47	20	analysis	analysis	NOUN
cana-1547	47	21	issn	issn	NOUN
cana-1547	47	22	:	:	PUNCT
cana-1547	47	23	1074	1074	NUM
cana-1547	47	24	-	-	PUNCT
cana-1547	47	25	133x	133x	NUM
cana-1547	47	26	vol	vol	NOUN
cana-1547	47	27	31	31	NUM
cana-1547	47	28	no	no	NOUN
cana-1547	47	29	.	.	PUNCT
cana-1547	48	1	8s	8s	PROPN
cana-1547	48	2	(	(	PUNCT
cana-1547	48	3	2024	2024	NUM
cana-1547	48	4	)	)	PUNCT
cana-1547	48	5	543	543	NUM
cana-1547	48	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1547	48	7	images	image	NOUN
cana-1547	48	8	efficiently	efficiently	ADV
cana-1547	48	9	,	,	PUNCT
cana-1547	48	10	which	which	PRON
cana-1547	48	11	promises	promise	VERB
cana-1547	48	12	excellent	excellent	ADJ
cana-1547	48	13	classification	classification	NOUN
cana-1547	48	14	accuracy	accuracy	NOUN
cana-1547	48	15	.	.	PUNCT
cana-1547	49	1	second	second	ADJ
cana-1547	49	2	,	,	PUNCT
cana-1547	49	3	the	the	DET
cana-1547	49	4	study	study	NOUN
cana-1547	49	5	aims	aim	VERB
cana-1547	49	6	to	to	PART
cana-1547	49	7	overcome	overcome	VERB
cana-1547	49	8	the	the	DET
cana-1547	49	9	limitations	limitation	NOUN
cana-1547	49	10	of	of	ADP
cana-1547	49	11	existing	exist	VERB
cana-1547	49	12	datasets	dataset	NOUN
cana-1547	49	13	.	.	PUNCT
cana-1547	50	1	the	the	DET
cana-1547	50	2	use	use	NOUN
cana-1547	50	3	of	of	ADP
cana-1547	50	4	the	the	DET
cana-1547	50	5	brats	brat	NOUN
cana-1547	50	6	dataset	dataset	VERB
cana-1547	50	7	of	of	ADP
cana-1547	50	8	2023	2023	NUM
cana-1547	50	9	provided	provide	VERB
cana-1547	50	10	by	by	ADP
cana-1547	50	11	kagal	kagal	NOUN
cana-1547	50	12	that	that	PRON
cana-1547	50	13	includes	include	VERB
cana-1547	50	14	a	a	DET
cana-1547	50	15	variety	variety	NOUN
cana-1547	50	16	of	of	ADP
cana-1547	50	17	brain	brain	NOUN
cana-1547	50	18	tumor	tumor	NOUN
cana-1547	50	19	cases	case	NOUN
cana-1547	50	20	ensures	ensure	VERB
cana-1547	50	21	a	a	DET
cana-1547	50	22	rigorous	rigorous	ADJ
cana-1547	50	23	evaluation	evaluation	NOUN
cana-1547	50	24	of	of	ADP
cana-1547	50	25	the	the	DET
cana-1547	50	26	proposed	propose	VERB
cana-1547	50	27	method	method	NOUN
cana-1547	50	28	this	this	DET
cana-1547	50	29	dataset	dataset	NOUN
cana-1547	50	30	provides	provide	VERB
cana-1547	50	31	a	a	DET
cana-1547	50	32	comprehensive	comprehensive	ADJ
cana-1547	50	33	evaluation	evaluation	NOUN
cana-1547	50	34	and	and	CCONJ
cana-1547	50	35	have	have	AUX
cana-1547	50	36	been	be	AUX
cana-1547	50	37	validated	validate	VERB
cana-1547	50	38	,	,	PUNCT
cana-1547	50	39	which	which	PRON
cana-1547	50	40	is	be	AUX
cana-1547	50	41	important	important	ADJ
cana-1547	50	42	for	for	ADP
cana-1547	50	43	the	the	DET
cana-1547	50	44	development	development	NOUN
cana-1547	50	45	of	of	ADP
cana-1547	50	46	brain	brain	NOUN
cana-1547	50	47	tumor	tumor	NOUN
cana-1547	50	48	screening	screening	NOUN
cana-1547	50	49	methods	method	NOUN
cana-1547	50	50	.	.	PUNCT
cana-1547	51	1	by	by	ADP
cana-1547	51	2	conducting	conduct	VERB
cana-1547	51	3	a	a	DET
cana-1547	51	4	comparative	comparative	ADJ
cana-1547	51	5	study	study	NOUN
cana-1547	51	6	comparing	compare	VERB
cana-1547	51	7	state	state	NOUN
cana-1547	51	8	-	-	PUNCT
cana-1547	51	9	of	of	ADP
cana-1547	51	10	-	-	PUNCT
cana-1547	51	11	the	the	DET
cana-1547	51	12	-	-	PUNCT
cana-1547	51	13	art	art	NOUN
cana-1547	51	14	techniques	technique	NOUN
cana-1547	51	15	,	,	PUNCT
cana-1547	51	16	the	the	DET
cana-1547	51	17	study	study	NOUN
cana-1547	51	18	highlights	highlight	VERB
cana-1547	51	19	the	the	DET
cana-1547	51	20	effectiveness	effectiveness	NOUN
cana-1547	51	21	and	and	CCONJ
cana-1547	51	22	potential	potential	NOUN
cana-1547	51	23	of	of	ADP
cana-1547	51	24	the	the	DET
cana-1547	51	25	proposed	propose	VERB
cana-1547	51	26	technique	technique	NOUN
cana-1547	51	27	,	,	PUNCT
cana-1547	51	28	thereby	thereby	ADV
cana-1547	51	29	fulfilling	fulfil	VERB
cana-1547	51	30	the	the	DET
cana-1547	51	31	important	important	ADJ
cana-1547	51	32	need	need	NOUN
cana-1547	51	33	for	for	SCONJ
cana-1547	51	34	brain	brain	NOUN
cana-1547	51	35	tumors	tumor	NOUN
cana-1547	51	36	addressing	address	VERB
cana-1547	51	37	improved	improved	ADJ
cana-1547	51	38	identification	identification	NOUN
cana-1547	51	39	and	and	CCONJ
cana-1547	51	40	patient	patient	NOUN
cana-1547	51	41	care	care	NOUN
cana-1547	51	42	.	.	PUNCT
cana-1547	52	1	the	the	DET
cana-1547	52	2	contributions	contribution	NOUN
cana-1547	52	3	of	of	ADP
cana-1547	52	4	this	this	DET
cana-1547	52	5	paper	paper	NOUN
cana-1547	52	6	are	be	AUX
cana-1547	52	7	as	as	SCONJ
cana-1547	52	8	follows	follow	VERB
cana-1547	52	9	1	1	NUM
cana-1547	52	10	.	.	PUNCT
cana-1547	52	11	identify	identify	VERB
cana-1547	52	12	common	common	ADJ
cana-1547	52	13	brain	brain	NOUN
cana-1547	52	14	tumors	tumor	NOUN
cana-1547	52	15	and	and	CCONJ
cana-1547	52	16	classify	classify	VERB
cana-1547	52	17	them	they	PRON
cana-1547	52	18	hierarchically	hierarchically	ADV
cana-1547	52	19	using	use	VERB
cana-1547	52	20	the	the	DET
cana-1547	52	21	proposed	propose	VERB
cana-1547	52	22	method	method	NOUN
cana-1547	52	23	,	,	PUNCT
cana-1547	52	24	aiming	aim	VERB
cana-1547	52	25	for	for	ADP
cana-1547	52	26	more	more	ADV
cana-1547	52	27	accurate	accurate	ADJ
cana-1547	52	28	and	and	CCONJ
cana-1547	52	29	comprehensive	comprehensive	ADJ
cana-1547	52	30	classification	classification	NOUN
cana-1547	52	31	.	.	PUNCT
cana-1547	53	1	2	2	X
cana-1547	53	2	.	.	X
cana-1547	53	3	propose	propose	VERB
cana-1547	53	4	wavelet	wavelet	NOUN
cana-1547	53	5	-	-	PUNCT
cana-1547	53	6	based	base	VERB
cana-1547	53	7	neural	neural	ADJ
cana-1547	53	8	networks	network	NOUN
cana-1547	53	9	for	for	ADP
cana-1547	53	10	efficient	efficient	ADJ
cana-1547	53	11	classification	classification	NOUN
cana-1547	53	12	of	of	ADP
cana-1547	53	13	mri	mri	NOUN
cana-1547	53	14	images	image	NOUN
cana-1547	53	15	,	,	PUNCT
cana-1547	53	16	integrating	integrate	VERB
cana-1547	53	17	haar	haar	NOUN
cana-1547	53	18	wavelet	wavelet	NOUN
cana-1547	53	19	with	with	ADP
cana-1547	53	20	cnns	cnn	NOUN
cana-1547	53	21	to	to	PART
cana-1547	53	22	capture	capture	VERB
cana-1547	53	23	multiscale	multiscale	ADJ
cana-1547	53	24	features	feature	NOUN
cana-1547	53	25	.	.	PUNCT
cana-1547	54	1	3	3	X
cana-1547	54	2	.	.	X
cana-1547	54	3	evaluate	evaluate	VERB
cana-1547	54	4	and	and	CCONJ
cana-1547	54	5	compare	compare	VERB
cana-1547	54	6	proposed	propose	VERB
cana-1547	54	7	method	method	NOUN
cana-1547	54	8	with	with	ADP
cana-1547	54	9	svm	svm	ADJ
cana-1547	54	10	-	-	PUNCT
cana-1547	54	11	based	base	VERB
cana-1547	54	12	classification	classification	NOUN
cana-1547	54	13	using	use	VERB
cana-1547	54	14	sensitivity	sensitivity	NOUN
cana-1547	54	15	,	,	PUNCT
cana-1547	54	16	specificity	specificity	NOUN
cana-1547	54	17	,	,	PUNCT
cana-1547	54	18	and	and	CCONJ
cana-1547	54	19	accuracy	accuracy	NOUN
cana-1547	54	20	to	to	PART
cana-1547	54	21	assess	assess	VERB
cana-1547	54	22	effectiveness	effectiveness	NOUN
cana-1547	54	23	in	in	ADP
cana-1547	54	24	brain	brain	NOUN
cana-1547	54	25	tumor	tumor	NOUN
cana-1547	54	26	detection	detection	NOUN
cana-1547	54	27	.	.	PUNCT
cana-1547	55	1	2	2	X
cana-1547	55	2	.	.	X
cana-1547	55	3	related	relate	VERB
cana-1547	55	4	work	work	NOUN
cana-1547	55	5	numerous	numerous	ADJ
cana-1547	55	6	authors	author	NOUN
cana-1547	55	7	have	have	AUX
cana-1547	55	8	worked	work	VERB
cana-1547	55	9	on	on	ADP
cana-1547	55	10	the	the	DET
cana-1547	55	11	detection	detection	NOUN
cana-1547	55	12	of	of	ADP
cana-1547	55	13	cancer	cancer	NOUN
cana-1547	55	14	through	through	ADP
cana-1547	55	15	the	the	DET
cana-1547	55	16	mri	mri	NOUN
cana-1547	55	17	scans.authors	scans.author	NOUN
cana-1547	55	18	in	in	ADP
cana-1547	55	19	(	(	PUNCT
cana-1547	55	20	siegel	siegel	NOUN
cana-1547	55	21	,	,	PUNCT
cana-1547	55	22	2017	2017	NUM
cana-1547	55	23	)	)	PUNCT
cana-1547	55	24	,	,	PUNCT
cana-1547	55	25	had	have	AUX
cana-1547	55	26	implemented	implement	VERB
cana-1547	55	27	gene	gene	NOUN
cana-1547	55	28	selection	selection	NOUN
cana-1547	55	29	.	.	PUNCT
cana-1547	56	1	it	it	PRON
cana-1547	56	2	is	be	AUX
cana-1547	56	3	one	one	NUM
cana-1547	56	4	of	of	ADP
cana-1547	56	5	the	the	DET
cana-1547	56	6	most	most	ADV
cana-1547	56	7	successful	successful	ADJ
cana-1547	56	8	approaches	approach	NOUN
cana-1547	56	9	for	for	ADP
cana-1547	56	10	cancer	cancer	NOUN
cana-1547	56	11	categorization	categorization	NOUN
cana-1547	56	12	.	.	PUNCT
cana-1547	57	1	it	it	PRON
cana-1547	57	2	selects	select	VERB
cana-1547	57	3	a	a	DET
cana-1547	57	4	class	class	NOUN
cana-1547	57	5	of	of	ADP
cana-1547	57	6	genes	gene	NOUN
cana-1547	57	7	that	that	PRON
cana-1547	57	8	improves	improve	VERB
cana-1547	57	9	classification	classification	NOUN
cana-1547	57	10	accuracy.however	accuracy.however	ADV
cana-1547	57	11	,	,	PUNCT
cana-1547	57	12	this	this	PRON
cana-1547	57	13	is	be	AUX
cana-1547	57	14	an	an	DET
cana-1547	57	15	np	np	NOUN
cana-1547	57	16	-	-	PUNCT
cana-1547	57	17	hard	hard	ADJ
cana-1547	57	18	task	task	NOUN
cana-1547	57	19	.	.	PUNCT
cana-1547	58	1	in	in	ADP
cana-1547	58	2	previous	previous	ADJ
cana-1547	58	3	investigations	investigation	NOUN
cana-1547	58	4	,	,	PUNCT
cana-1547	58	5	a	a	DET
cana-1547	58	6	variety	variety	NOUN
cana-1547	58	7	of	of	ADP
cana-1547	58	8	strategies	strategy	NOUN
cana-1547	58	9	for	for	ADP
cana-1547	58	10	gene	gene	NOUN
cana-1547	58	11	selection	selection	NOUN
cana-1547	58	12	in	in	ADP
cana-1547	58	13	cancer	cancer	NOUN
cana-1547	58	14	classification	classification	NOUN
cana-1547	58	15	was	be	AUX
cana-1547	58	16	presented	present	VERB
cana-1547	58	17	.	.	PUNCT
cana-1547	59	1	for	for	ADP
cana-1547	59	2	this	this	DET
cana-1547	59	3	objective	objective	NOUN
cana-1547	59	4	,	,	PUNCT
cana-1547	59	5	a	a	DET
cana-1547	59	6	hybrid	hybrid	ADJ
cana-1547	59	7	meta	meta	ADJ
cana-1547	59	8	-	-	PUNCT
cana-1547	59	9	heuristic	heuristic	ADJ
cana-1547	59	10	algorithm	algorithm	NOUN
cana-1547	59	11	has	have	AUX
cana-1547	59	12	been	be	AUX
cana-1547	59	13	incorporated	incorporate	VERB
cana-1547	59	14	in	in	ADP
cana-1547	59	15	this	this	DET
cana-1547	59	16	paper	paper	NOUN
cana-1547	59	17	,	,	PUNCT
cana-1547	59	18	which	which	PRON
cana-1547	59	19	is	be	AUX
cana-1547	59	20	a	a	DET
cana-1547	59	21	fusion	fusion	NOUN
cana-1547	59	22	of	of	ADP
cana-1547	59	23	genetic	genetic	ADJ
cana-1547	59	24	algorithm	algorithm	NOUN
cana-1547	59	25	and	and	CCONJ
cana-1547	59	26	learning	learn	VERB
cana-1547	59	27	automata	automata	NOUN
cana-1547	59	28	(	(	PUNCT
cana-1547	59	29	gala	gala	NOUN
cana-1547	59	30	)	)	PUNCT
cana-1547	59	31	.	.	PUNCT
cana-1547	60	1	the	the	DET
cana-1547	60	2	findings	finding	NOUN
cana-1547	60	3	obtained	obtain	VERB
cana-1547	60	4	through	through	ADP
cana-1547	60	5	gala	gala	NOUN
cana-1547	60	6	after	after	SCONJ
cana-1547	60	7	its	its	PRON
cana-1547	60	8	implementation	implementation	NOUN
cana-1547	60	9	on	on	ADP
cana-1547	60	10	six	six	NUM
cana-1547	60	11	cancer	cancer	NOUN
cana-1547	60	12	gene	gene	NOUN
cana-1547	60	13	expression	expression	NOUN
cana-1547	60	14	datasets	dataset	NOUN
cana-1547	60	15	were	be	AUX
cana-1547	60	16	outstanding	outstanding	ADJ
cana-1547	60	17	when	when	SCONJ
cana-1547	60	18	compared	compare	VERB
cana-1547	60	19	to	to	ADP
cana-1547	60	20	other	other	ADJ
cana-1547	60	21	recently	recently	ADV
cana-1547	60	22	introduced	introduce	VERB
cana-1547	60	23	algorithms	algorithm	NOUN
cana-1547	60	24	,	,	PUNCT
cana-1547	60	25	according	accord	VERB
cana-1547	60	26	to	to	ADP
cana-1547	60	27	the	the	DET
cana-1547	60	28	conclusions	conclusion	NOUN
cana-1547	60	29	of	of	ADP
cana-1547	60	30	this	this	DET
cana-1547	60	31	article	article	NOUN
cana-1547	60	32	.	.	PUNCT
cana-1547	61	1	gala	gala	PROPN
cana-1547	61	2	had	have	VERB
cana-1547	61	3	a	a	DET
cana-1547	61	4	mean	mean	ADJ
cana-1547	61	5	classification	classification	NOUN
cana-1547	61	6	accuracy	accuracy	NOUN
cana-1547	61	7	of	of	ADP
cana-1547	61	8	94.46	94.46	NUM
cana-1547	61	9	%	%	NOUN
cana-1547	61	10	on	on	ADP
cana-1547	61	11	a	a	DET
cana-1547	61	12	colon	colon	NOUN
cana-1547	61	13	dataset	dataset	NOUN
cana-1547	61	14	containing	contain	VERB
cana-1547	61	15	8	8	NUM
cana-1547	61	16	genes	gene	NOUN
cana-1547	61	17	.	.	PUNCT
cana-1547	62	1	on	on	ADP
cana-1547	62	2	the	the	DET
cana-1547	62	3	tumors	tumor	NOUN
cana-1547	62	4	9	9	NUM
cana-1547	62	5	and	and	CCONJ
cana-1547	62	6	tumors	tumor	NOUN
cana-1547	62	7	11	11	NUM
cana-1547	62	8	datasets	dataset	NOUN
cana-1547	62	9	with	with	ADP
cana-1547	62	10	10	10	NUM
cana-1547	62	11	genes	gene	NOUN
cana-1547	62	12	,	,	PUNCT
cana-1547	62	13	the	the	DET
cana-1547	62	14	mean	mean	ADJ
cana-1547	62	15	classification	classification	NOUN
cana-1547	62	16	accuracies	accuracy	NOUN
cana-1547	62	17	were	be	AUX
cana-1547	62	18	86.52%and	86.52%and	NUM
cana-1547	62	19	84.38	84.38	NUM
cana-1547	62	20	%	%	NOUN
cana-1547	62	21	,	,	PUNCT
cana-1547	62	22	respectively.the	respectively.the	DET
cana-1547	62	23	authors	author	NOUN
cana-1547	62	24	in	in	ADP
cana-1547	62	25	(	(	PUNCT
cana-1547	62	26	sarhan	sarhan	ADJ
cana-1547	62	27	,	,	PUNCT
cana-1547	62	28	2009	2009	NUM
cana-1547	62	29	)	)	PUNCT
cana-1547	62	30	,	,	PUNCT
cana-1547	62	31	provide	provide	VERB
cana-1547	62	32	a	a	DET
cana-1547	62	33	comprehensive	comprehensive	ADJ
cana-1547	62	34	literature	literature	NOUN
cana-1547	62	35	assessment	assessment	NOUN
cana-1547	62	36	of	of	ADP
cana-1547	62	37	contemporary	contemporary	ADJ
cana-1547	62	38	strategies	strategy	NOUN
cana-1547	62	39	for	for	ADP
cana-1547	62	40	segmenting	segment	VERB
cana-1547	62	41	brain	brain	NOUN
cana-1547	62	42	tumors	tumor	NOUN
cana-1547	62	43	from	from	ADP
cana-1547	62	44	brain	brain	NOUN
cana-1547	62	45	mri	mri	NOUN
cana-1547	62	46	data	datum	NOUN
cana-1547	62	47	.	.	PUNCT
cana-1547	63	1	it	it	PRON
cana-1547	63	2	covers	cover	VERB
cana-1547	63	3	the	the	DET
cana-1547	63	4	performance	performance	NOUN
cana-1547	63	5	of	of	ADP
cana-1547	63	6	cutting	cut	VERB
cana-1547	63	7	-	-	PUNCT
cana-1547	63	8	edge	edge	NOUN
cana-1547	63	9	methods	method	NOUN
cana-1547	63	10	as	as	ADV
cana-1547	63	11	well	well	ADV
cana-1547	63	12	as	as	ADP
cana-1547	63	13	their	their	PRON
cana-1547	63	14	quantitative	quantitative	ADJ
cana-1547	63	15	analyses	analysis	NOUN
cana-1547	63	16	.	.	PUNCT
cana-1547	64	1	with	with	ADP
cana-1547	64	2	the	the	DET
cana-1547	64	3	latest	late	ADJ
cana-1547	64	4	contribution	contribution	NOUN
cana-1547	64	5	of	of	ADP
cana-1547	64	6	many	many	ADJ
cana-1547	64	7	scholars	scholar	NOUN
cana-1547	64	8	,	,	PUNCT
cana-1547	64	9	numerous	numerous	ADJ
cana-1547	64	10	methods	method	NOUN
cana-1547	64	11	of	of	ADP
cana-1547	64	12	picture	picture	NOUN
cana-1547	64	13	segmentation	segmentation	NOUN
cana-1547	64	14	have	have	AUX
cana-1547	64	15	been	be	AUX
cana-1547	64	16	discussed	discuss	VERB
cana-1547	64	17	.	.	PUNCT
cana-1547	65	1	based	base	VERB
cana-1547	65	2	on	on	ADP
cana-1547	65	3	this	this	DET
cana-1547	65	4	work	work	NOUN
cana-1547	65	5	,	,	PUNCT
cana-1547	65	6	this	this	DET
cana-1547	65	7	paper	paper	NOUN
cana-1547	65	8	provides	provide	VERB
cana-1547	65	9	in	in	ADP
cana-1547	65	10	-	-	PUNCT
cana-1547	65	11	depth	depth	NOUN
cana-1547	65	12	exploration	exploration	NOUN
cana-1547	65	13	of	of	ADP
cana-1547	65	14	different	different	ADJ
cana-1547	65	15	existing	exist	VERB
cana-1547	65	16	brain	brain	NOUN
cana-1547	65	17	tumor	tumor	NOUN
cana-1547	65	18	segmentation	segmentation	NOUN
cana-1547	65	19	methods	method	NOUN
cana-1547	65	20	.	.	PUNCT
cana-1547	66	1	quantitative	quantitative	ADJ
cana-1547	66	2	analysis	analysis	NOUN
cana-1547	66	3	using	use	VERB
cana-1547	66	4	different	different	ADJ
cana-1547	66	5	evaluation	evaluation	NOUN
cana-1547	66	6	factors	factor	NOUN
cana-1547	66	7	among	among	ADP
cana-1547	66	8	state	state	NOUN
cana-1547	66	9	-	-	PUNCT
cana-1547	66	10	of	of	ADP
cana-1547	66	11	-	-	PUNCT
cana-1547	66	12	the	the	DET
cana-1547	66	13	-	-	PUNCT
cana-1547	66	14	art	art	NOUN
cana-1547	66	15	approaches	approach	NOUN
cana-1547	66	16	benefits	benefit	VERB
cana-1547	66	17	readers	reader	NOUN
cana-1547	66	18	and	and	CCONJ
cana-1547	66	19	clinicians	clinician	NOUN
cana-1547	66	20	by	by	ADP
cana-1547	66	21	not	not	PART
cana-1547	66	22	only	only	ADV
cana-1547	66	23	setting	set	VERB
cana-1547	66	24	new	new	ADJ
cana-1547	66	25	routes	route	NOUN
cana-1547	66	26	for	for	ADP
cana-1547	66	27	study	study	NOUN
cana-1547	66	28	but	but	CCONJ
cana-1547	66	29	also	also	ADV
cana-1547	66	30	assisting	assist	VERB
cana-1547	66	31	in	in	ADP
cana-1547	66	32	correct	correct	ADJ
cana-1547	66	33	tumor	tumor	NOUN
cana-1547	66	34	identification.the	identification.the	DET
cana-1547	66	35	efficacy	efficacy	NOUN
cana-1547	66	36	of	of	ADP
cana-1547	66	37	histological	histological	ADJ
cana-1547	66	38	characteristics	characteristic	NOUN
cana-1547	66	39	to	to	PART
cana-1547	66	40	predict	predict	VERB
cana-1547	66	41	the	the	DET
cana-1547	66	42	recurrence	recurrence	NOUN
cana-1547	66	43	risk	risk	NOUN
cana-1547	66	44	of	of	ADP
cana-1547	66	45	a	a	DET
cana-1547	66	46	typical	typical	ADJ
cana-1547	66	47	meningioma	meningioma	NOUN
cana-1547	66	48	was	be	AUX
cana-1547	66	49	studied	study	VERB
cana-1547	66	50	in	in	ADP
cana-1547	66	51	(	(	PUNCT
cana-1547	66	52	kumar	kumar	PROPN
cana-1547	66	53	,	,	PUNCT
cana-1547	66	54	2021	2021	NUM
cana-1547	66	55	)	)	PUNCT
cana-1547	66	56	.	.	PUNCT
cana-1547	67	1	meningioma	meningioma	NOUN
cana-1547	67	2	that	that	PRON
cana-1547	67	3	were	be	AUX
cana-1547	67	4	merely	merely	ADV
cana-1547	67	5	identified	identify	VERB
cana-1547	67	6	as	as	ADP
cana-1547	67	7	atypical	atypical	ADJ
cana-1547	67	8	based	base	VERB
cana-1547	67	9	on	on	ADP
cana-1547	67	10	minimal	minimal	ADJ
cana-1547	67	11	atypical	atypical	ADJ
cana-1547	67	12	criteria	criterion	NOUN
cana-1547	67	13	had	have	VERB
cana-1547	67	14	a	a	DET
cana-1547	67	15	low	low	ADJ
cana-1547	67	16	chance	chance	NOUN
cana-1547	67	17	of	of	ADP
cana-1547	67	18	recurrence	recurrence	NOUN
cana-1547	67	19	.	.	PUNCT
cana-1547	68	1	disease	disease	NOUN
cana-1547	68	2	-	-	PUNCT
cana-1547	68	3	free	free	ADJ
cana-1547	68	4	survival	survival	NOUN
cana-1547	68	5	(	(	PUNCT
cana-1547	68	6	dfs	dfs	PROPN
cana-1547	68	7	)	)	PUNCT
cana-1547	68	8	was	be	AUX
cana-1547	68	9	basically	basically	ADV
cana-1547	68	10	linked	link	VERB
cana-1547	68	11	to	to	ADP
cana-1547	68	12	brain	brain	NOUN
cana-1547	68	13	invasion	invasion	NOUN
cana-1547	68	14	,	,	PUNCT
cana-1547	68	15	high	high	ADJ
cana-1547	68	16	mitotic	mitotic	ADJ
cana-1547	68	17	index	index	NOUN
cana-1547	68	18	,	,	PUNCT
cana-1547	68	19	and	and	CCONJ
cana-1547	68	20	sheeting	sheet	VERB
cana-1547	68	21	(	(	PUNCT
cana-1547	68	22	p	p	NOUN
cana-1547	68	23	=	=	NOUN
cana-1547	68	24	0.001	0.001	NUM
cana-1547	68	25	,	,	PUNCT
cana-1547	68	26	p	p	X
cana-1547	68	27	=	=	NOUN
cana-1547	68	28	0.01	0.01	NUM
cana-1547	68	29	,	,	PUNCT
cana-1547	68	30	p	p	X
cana-1547	68	31	=	=	NOUN
cana-1547	68	32	0.01	0.01	NUM
cana-1547	68	33	)	)	PUNCT
cana-1547	68	34	.	.	PUNCT
cana-1547	69	1	the	the	DET
cana-1547	69	2	findings	finding	NOUN
cana-1547	69	3	show	show	VERB
cana-1547	69	4	that	that	SCONJ
cana-1547	69	5	meningioma	meningioma	NOUN
cana-1547	69	6	should	should	AUX
cana-1547	69	7	be	be	AUX
cana-1547	69	8	reclassified	reclassify	VERB
cana-1547	69	9	as	as	ADP
cana-1547	69	10	atypical	atypical	ADJ
cana-1547	69	11	if	if	SCONJ
cana-1547	69	12	just	just	ADV
cana-1547	69	13	minor	minor	ADJ
cana-1547	69	14	unusual	unusual	ADJ
cana-1547	69	15	criteria	criterion	NOUN
cana-1547	69	16	are	be	AUX
cana-1547	69	17	met	meet	VERB
cana-1547	69	18	.	.	PUNCT
cana-1547	70	1	the	the	DET
cana-1547	70	2	presence	presence	NOUN
cana-1547	70	3	of	of	ADP
cana-1547	70	4	brain	brain	NOUN
cana-1547	70	5	invasion	invasion	NOUN
cana-1547	70	6	,	,	PUNCT
cana-1547	70	7	sheeting	sheeting	NOUN
cana-1547	70	8	,	,	PUNCT
cana-1547	70	9	and	and	CCONJ
cana-1547	70	10	a	a	DET
cana-1547	70	11	high	high	ADJ
cana-1547	70	12	mitotic	mitotic	ADJ
cana-1547	70	13	count	count	NOUN
cana-1547	70	14	may	may	AUX
cana-1547	70	15	help	help	VERB
cana-1547	70	16	to	to	PART
cana-1547	70	17	identify	identify	VERB
cana-1547	70	18	high	high	ADJ
cana-1547	70	19	-	-	PUNCT
cana-1547	70	20	risk	risk	NOUN
cana-1547	70	21	subjects	subject	NOUN
cana-1547	70	22	that	that	PRON
cana-1547	70	23	could	could	AUX
cana-1547	70	24	benefit	benefit	VERB
cana-1547	70	25	from	from	ADP
cana-1547	70	26	adjuvant	adjuvant	ADJ
cana-1547	70	27	therapy	therapy	NOUN
cana-1547	70	28	.	.	PUNCT
cana-1547	71	1	but	but	CCONJ
cana-1547	71	2	in	in	ADP
cana-1547	71	3	communications	communication	NOUN
cana-1547	71	4	on	on	ADP
cana-1547	71	5	applied	apply	VERB
cana-1547	71	6	nonlinear	nonlinear	ADJ
cana-1547	71	7	analysis	analysis	NOUN
cana-1547	71	8	issn	issn	NOUN
cana-1547	71	9	:	:	PUNCT
cana-1547	71	10	1074	1074	NUM
cana-1547	71	11	-	-	PUNCT
cana-1547	71	12	133x	133x	NUM
cana-1547	71	13	vol	vol	NOUN
cana-1547	71	14	31	31	NUM
cana-1547	71	15	no	no	NOUN
cana-1547	71	16	.	.	PUNCT
cana-1547	72	1	8s	8s	PROPN
cana-1547	72	2	(	(	PUNCT
cana-1547	72	3	2024	2024	NUM
cana-1547	72	4	)	)	PUNCT
cana-1547	72	5	544	544	NUM
cana-1547	72	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1547	72	7	the	the	DET
cana-1547	72	8	proposed	propose	VERB
cana-1547	72	9	work	work	NOUN
cana-1547	72	10	in	in	ADP
cana-1547	72	11	this	this	DET
cana-1547	72	12	paper	paper	NOUN
cana-1547	72	13	,	,	PUNCT
cana-1547	72	14	pilocytic	pilocytic	ADJ
cana-1547	72	15	astrocytoma	astrocytoma	NOUN
cana-1547	72	16	grade-1	grade-1	PROPN
cana-1547	72	17	tumors	tumor	NOUN
cana-1547	72	18	,	,	PUNCT
cana-1547	72	19	grade	grade	NOUN
cana-1547	72	20	2	2	NUM
cana-1547	72	21	astrocytoma	astrocytoma	NOUN
cana-1547	72	22	,	,	PUNCT
cana-1547	72	23	grade	grade	NOUN
cana-1547	72	24	3	3	NUM
cana-1547	72	25	astrocytoma	astrocytoma	NOUN
cana-1547	72	26	is	be	AUX
cana-1547	72	27	known	know	VERB
cana-1547	72	28	as	as	ADP
cana-1547	72	29	anaplastic	anaplastic	ADJ
cana-1547	72	30	astrocytoma	astrocytoma	NOUN
cana-1547	72	31	and	and	CCONJ
cana-1547	72	32	glioblastomagrade	glioblastomagrade	PROPN
cana-1547	72	33	4	4	NUM
cana-1547	72	34	tumors	tumor	NOUN
cana-1547	72	35	are	be	AUX
cana-1547	72	36	being	be	AUX
cana-1547	72	37	under	under	ADP
cana-1547	72	38	detection.in	detection.in	X
cana-1547	72	39	(	(	PUNCT
cana-1547	72	40	abiwinanda	abiwinanda	PROPN
cana-1547	72	41	,	,	PUNCT
cana-1547	72	42	2019	2019	NUM
cana-1547	72	43	)	)	PUNCT
cana-1547	72	44	,	,	PUNCT
cana-1547	72	45	authors	author	NOUN
cana-1547	72	46	proposed	propose	VERB
cana-1547	72	47	svm	svm	PROPN
cana-1547	72	48	for	for	ADP
cana-1547	72	49	classifying	classify	VERB
cana-1547	72	50	the	the	DET
cana-1547	72	51	brain	brain	NOUN
cana-1547	72	52	tumor	tumor	NOUN
cana-1547	72	53	using	use	VERB
cana-1547	72	54	the	the	DET
cana-1547	72	55	mris	mris	NOUN
cana-1547	72	56	.	.	PUNCT
cana-1547	73	1	the	the	DET
cana-1547	73	2	features	feature	NOUN
cana-1547	73	3	extracted	extract	VERB
cana-1547	73	4	by	by	ADP
cana-1547	73	5	them	they	PRON
cana-1547	73	6	were	be	AUX
cana-1547	73	7	:	:	PUNCT
cana-1547	73	8	entropy	entropy	ADJ
cana-1547	73	9	,	,	PUNCT
cana-1547	73	10	mean	mean	VERB
cana-1547	73	11	,	,	PUNCT
cana-1547	73	12	contrast	contrast	NOUN
cana-1547	73	13	,	,	PUNCT
cana-1547	73	14	energy	energy	NOUN
cana-1547	73	15	and	and	CCONJ
cana-1547	73	16	inverse	inverse	NOUN
cana-1547	73	17	difference	difference	NOUN
cana-1547	73	18	moment	moment	NOUN
cana-1547	73	19	.	.	PUNCT
cana-1547	74	1	authors	author	NOUN
cana-1547	74	2	used	use	VERB
cana-1547	74	3	110	110	NUM
cana-1547	74	4	mris	mri	NOUN
cana-1547	74	5	and	and	CCONJ
cana-1547	74	6	carried	carry	VERB
cana-1547	74	7	out	out	ADP
cana-1547	74	8	the	the	DET
cana-1547	74	9	comparative	comparative	ADJ
cana-1547	74	10	analysis	analysis	NOUN
cana-1547	74	11	among	among	ADP
cana-1547	74	12	non	non	ADJ
cana-1547	74	13	-	-	ADJ
cana-1547	74	14	linear	linear	ADJ
cana-1547	74	15	svm	svm	NOUN
cana-1547	74	16	such	such	ADJ
cana-1547	74	17	as	as	ADP
cana-1547	74	18	radial	radial	ADJ
cana-1547	74	19	based	base	VERB
cana-1547	74	20	function	function	NOUN
cana-1547	74	21	(	(	PUNCT
cana-1547	74	22	rbl	rbl	NOUN
cana-1547	74	23	)	)	PUNCT
cana-1547	74	24	,	,	PUNCT
cana-1547	74	25	linear	linear	ADJ
cana-1547	74	26	function	function	NOUN
cana-1547	74	27	and	and	CCONJ
cana-1547	74	28	quadratic	quadratic	ADJ
cana-1547	74	29	function	function	NOUN
cana-1547	74	30	.	.	PUNCT
cana-1547	75	1	the	the	DET
cana-1547	75	2	size	size	NOUN
cana-1547	75	3	of	of	ADP
cana-1547	75	4	the	the	DET
cana-1547	75	5	data	datum	NOUN
cana-1547	75	6	set	set	VERB
cana-1547	75	7	used	use	VERB
cana-1547	75	8	by	by	ADP
cana-1547	75	9	the	the	DET
cana-1547	75	10	author	author	NOUN
cana-1547	75	11	was	be	AUX
cana-1547	75	12	very	very	ADV
cana-1547	75	13	small	small	ADJ
cana-1547	75	14	and	and	CCONJ
cana-1547	75	15	result	result	VERB
cana-1547	75	16	analysis	analysis	NOUN
cana-1547	75	17	demonstrated	demonstrate	VERB
cana-1547	75	18	98	98	NUM
cana-1547	75	19	%	%	NOUN
cana-1547	75	20	accuracy	accuracy	NOUN
cana-1547	75	21	using	use	VERB
cana-1547	75	22	the	the	DET
cana-1547	75	23	svm	svm	ADJ
cana-1547	75	24	-	-	ADJ
cana-1547	75	25	rbl	rbl	ADJ
cana-1547	75	26	method	method	NOUN
cana-1547	75	27	.	.	PUNCT
cana-1547	76	1	authors	author	NOUN
cana-1547	76	2	in	in	ADP
cana-1547	76	3	(	(	PUNCT
cana-1547	76	4	kumari	kumari	PROPN
cana-1547	76	5	,	,	PUNCT
cana-1547	76	6	2013	2013	NUM
cana-1547	76	7	)	)	PUNCT
cana-1547	76	8	proposed	propose	VERB
cana-1547	76	9	the	the	DET
cana-1547	76	10	use	use	NOUN
cana-1547	76	11	of	of	ADP
cana-1547	76	12	svm	svm	NOUN
cana-1547	76	13	for	for	ADP
cana-1547	76	14	classification	classification	NOUN
cana-1547	76	15	and	and	CCONJ
cana-1547	76	16	fourier	fouri	ADJ
cana-1547	76	17	transformation	transformation	NOUN
cana-1547	76	18	for	for	ADP
cana-1547	76	19	feature	feature	NOUN
cana-1547	76	20	extraction	extraction	NOUN
cana-1547	76	21	.	.	PUNCT
cana-1547	77	1	the	the	DET
cana-1547	77	2	data	datum	NOUN
cana-1547	77	3	set	set	VERB
cana-1547	77	4	of	of	ADP
cana-1547	77	5	100	100	NUM
cana-1547	77	6	mris	mris	NOUN
cana-1547	77	7	was	be	AUX
cana-1547	77	8	used	use	VERB
cana-1547	77	9	.	.	PUNCT
cana-1547	78	1	the	the	DET
cana-1547	78	2	authors	author	NOUN
cana-1547	78	3	have	have	AUX
cana-1547	78	4	detected	detect	VERB
cana-1547	78	5	and	and	CCONJ
cana-1547	78	6	classified	classify	VERB
cana-1547	78	7	only	only	ADV
cana-1547	78	8	one	one	NUM
cana-1547	78	9	category	category	NOUN
cana-1547	78	10	of	of	ADP
cana-1547	78	11	cancer	cancer	NOUN
cana-1547	78	12	using	use	VERB
cana-1547	78	13	mri	mri	NOUN
cana-1547	78	14	scans	scan	NOUN
cana-1547	78	15	,	,	PUNCT
cana-1547	78	16	but	but	CCONJ
cana-1547	78	17	in	in	ADP
cana-1547	78	18	the	the	DET
cana-1547	78	19	proposed	propose	VERB
cana-1547	78	20	work	work	NOUN
cana-1547	78	21	,	,	PUNCT
cana-1547	78	22	the	the	DET
cana-1547	78	23	classification	classification	NOUN
cana-1547	78	24	is	be	AUX
cana-1547	78	25	being	be	AUX
cana-1547	78	26	carried	carry	VERB
cana-1547	78	27	for	for	ADP
cana-1547	78	28	four	four	NUM
cana-1547	78	29	types	type	NOUN
cana-1547	78	30	of	of	ADP
cana-1547	78	31	the	the	DET
cana-1547	78	32	brain	brain	NOUN
cana-1547	78	33	tumor	tumor	NOUN
cana-1547	78	34	.	.	PUNCT
cana-1547	79	1	in	in	ADP
cana-1547	79	2	(	(	PUNCT
cana-1547	79	3	hua	hua	PROPN
cana-1547	79	4	,	,	PUNCT
cana-1547	79	5	2021	2021	NUM
cana-1547	79	6	)	)	PUNCT
cana-1547	79	7	,	,	PUNCT
cana-1547	79	8	authors	author	NOUN
cana-1547	79	9	used	use	VERB
cana-1547	79	10	improved	improved	ADJ
cana-1547	79	11	multi	multi	ADJ
cana-1547	79	12	-	-	ADJ
cana-1547	79	13	view	view	ADJ
cana-1547	79	14	fuzzy	fuzzy	ADJ
cana-1547	79	15	c	c	NOUN
cana-1547	79	16	-	-	PUNCT
cana-1547	79	17	means	mean	VERB
cana-1547	79	18	imv	imv	PROPN
cana-1547	79	19	fcm	fcm	AUX
cana-1547	79	20	clustering	cluster	VERB
cana-1547	79	21	for	for	ADP
cana-1547	79	22	the	the	DET
cana-1547	79	23	segmentation	segmentation	NOUN
cana-1547	79	24	of	of	ADP
cana-1547	79	25	the	the	PRON
cana-1547	79	26	of	of	ADP
cana-1547	79	27	the	the	DET
cana-1547	79	28	mri	mri	NOUN
cana-1547	79	29	images	image	NOUN
cana-1547	79	30	.	.	PUNCT
cana-1547	80	1	using	use	VERB
cana-1547	80	2	imv	imv	PROPN
cana-1547	80	3	fcm	fcm	PROPN
cana-1547	80	4	,	,	PUNCT
cana-1547	80	5	authors	author	NOUN
cana-1547	80	6	have	have	AUX
cana-1547	80	7	achieved	achieve	VERB
cana-1547	80	8	higher	high	ADJ
cana-1547	80	9	segmentation	segmentation	NOUN
cana-1547	80	10	accuracy	accuracy	NOUN
cana-1547	80	11	,	,	PUNCT
cana-1547	80	12	dice	dice	NOUN
cana-1547	80	13	coefficient	coefficient	NOUN
cana-1547	80	14	,	,	PUNCT
cana-1547	80	15	similarity	similarity	NOUN
cana-1547	80	16	and	and	CCONJ
cana-1547	80	17	segmentation	segmentation	NOUN
cana-1547	80	18	coefficient	coefficient	NOUN
cana-1547	80	19	in	in	ADP
cana-1547	80	20	comparison	comparison	NOUN
cana-1547	80	21	to	to	ADP
cana-1547	80	22	other	other	ADJ
cana-1547	80	23	existing	exist	VERB
cana-1547	80	24	clustering	clustering	ADJ
cana-1547	80	25	methods	method	NOUN
cana-1547	80	26	.	.	PUNCT
cana-1547	81	1	the	the	DET
cana-1547	81	2	main	main	ADJ
cana-1547	81	3	objective	objective	NOUN
cana-1547	81	4	of	of	ADP
cana-1547	81	5	the	the	DET
cana-1547	81	6	paper	paper	NOUN
cana-1547	81	7	was	be	AUX
cana-1547	81	8	to	to	PART
cana-1547	81	9	increase	increase	VERB
cana-1547	81	10	the	the	DET
cana-1547	81	11	clustering	clustering	ADJ
cana-1547	81	12	efficiency	efficiency	NOUN
cana-1547	81	13	but	but	CCONJ
cana-1547	81	14	the	the	DET
cana-1547	81	15	classification	classification	NOUN
cana-1547	81	16	of	of	ADP
cana-1547	81	17	the	the	DET
cana-1547	81	18	mri	mri	NOUN
cana-1547	81	19	images	image	NOUN
cana-1547	81	20	was	be	AUX
cana-1547	81	21	not	not	PART
cana-1547	81	22	considered	consider	VERB
cana-1547	81	23	.	.	PUNCT
cana-1547	82	1	communications	communication	NOUN
cana-1547	82	2	on	on	ADP
cana-1547	82	3	applied	apply	VERB
cana-1547	82	4	nonlinear	nonlinear	ADJ
cana-1547	82	5	analysis	analysis	NOUN
cana-1547	82	6	issn	issn	NOUN
cana-1547	82	7	:	:	PUNCT
cana-1547	82	8	1074	1074	NUM
cana-1547	82	9	-	-	PUNCT
cana-1547	82	10	133x	133x	NUM
cana-1547	82	11	vol	vol	NOUN
cana-1547	82	12	31	31	NUM
cana-1547	82	13	no	no	NOUN
cana-1547	82	14	.	.	PUNCT
cana-1547	83	1	8s	8s	PROPN
cana-1547	83	2	(	(	PUNCT
cana-1547	83	3	2024	2024	NUM
cana-1547	83	4	)	)	PUNCT
cana-1547	83	5	545	545	NUM
cana-1547	83	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1547	83	7	paper	paper	NOUN
cana-1547	83	8	s.no	s.no	PROPN
cana-1547	83	9	.	.	PROPN
cana-1547	83	10	author	author	NOUN
cana-1547	83	11	technique	technique	NOUN
cana-1547	83	12	used	use	VERB
cana-1547	83	13	observation	observation	NOUN
cana-1547	83	14	dataset	dataset	VERB
cana-1547	83	15	used	use	VERB
cana-1547	83	16	advantage	advantage	NOUN
cana-1547	83	17	disadvantage	disadvantage	NOUN
cana-1547	83	18	limitation	limitation	NOUN
cana-1547	83	19	1	1	NUM
cana-1547	83	20	govindarajananusooya	govindarajananusooya	NOUN
cana-1547	83	21	,	,	PUNCT
cana-1547	83	22	selvarajbharathiraja	selvarajbharathiraja	NOUN
cana-1547	83	23	,	,	PUNCT
cana-1547	83	24	miroslavmahdal	miroslavmahdal	ADJ
cana-1547	83	25	,	,	PUNCT
cana-1547	83	26	kamsundhersathyarajasekaran(2023	kamsundhersathyarajasekaran(2023	NOUN
cana-1547	83	27	)	)	PUNCT
cana-1547	83	28	self	self	NOUN
cana-1547	83	29	-	-	PUNCT
cana-1547	83	30	supervised	supervise	VERB
cana-1547	83	31	wavelet	wavelet	NOUN
cana-1547	83	32	-	-	PUNCT
cana-1547	83	33	based	base	VERB
cana-1547	83	34	attention	attention	NOUN
cana-1547	83	35	network	network	NOUN
cana-1547	83	36	(	(	PUNCT
cana-1547	83	37	sswan	sswan	PROPN
cana-1547	83	38	)	)	PUNCT
cana-1547	83	39	automatic	automatic	ADJ
cana-1547	83	40	tumor	tumor	NOUN
cana-1547	83	41	segmentation	segmentation	NOUN
cana-1547	83	42	aids	aid	NOUN
cana-1547	83	43	in	in	ADP
cana-1547	83	44	analyzing	analyze	VERB
cana-1547	83	45	pathological	pathological	ADJ
cana-1547	83	46	conditions	condition	NOUN
cana-1547	83	47	by	by	ADP
cana-1547	83	48	evaluating	evaluate	VERB
cana-1547	83	49	tumor	tumor	NOUN
cana-1547	83	50	size	size	NOUN
cana-1547	83	51	,	,	PUNCT
cana-1547	83	52	location	location	NOUN
cana-1547	83	53	,	,	PUNCT
cana-1547	83	54	structure	structure	NOUN
cana-1547	83	55	,	,	PUNCT
cana-1547	83	56	and	and	CCONJ
cana-1547	83	57	grade	grade	NOUN
cana-1547	83	58	.	.	PUNCT
cana-1547	84	1	brats	brat	NOUN
cana-1547	84	2	challenge	challenge	VERB
cana-1547	84	3	dataset	dataset	NOUN
cana-1547	84	4	provides	provide	VERB
cana-1547	84	5	more	more	ADV
cana-1547	84	6	accurate	accurate	ADJ
cana-1547	84	7	segmentation	segmentation	NOUN
cana-1547	84	8	of	of	ADP
cana-1547	84	9	brain	brain	NOUN
cana-1547	84	10	tumors	tumor	NOUN
cana-1547	84	11	compared	compare	VERB
cana-1547	84	12	to	to	ADP
cana-1547	84	13	existing	exist	VERB
cana-1547	84	14	methods	method	NOUN
cana-1547	84	15	.	.	PUNCT
cana-1547	85	1	susceptible	susceptible	ADJ
cana-1547	85	2	to	to	ADP
cana-1547	85	3	noise	noise	NOUN
cana-1547	85	4	and	and	CCONJ
cana-1547	85	5	distortions	distortion	NOUN
cana-1547	85	6	.	.	PUNCT
cana-1547	86	1	susceptibility	susceptibility	NOUN
cana-1547	86	2	to	to	PART
cana-1547	86	3	noise	noise	NOUN
cana-1547	86	4	and	and	CCONJ
cana-1547	86	5	distortions	distortion	NOUN
cana-1547	86	6	limit	limit	VERB
cana-1547	86	7	the	the	DET
cana-1547	86	8	effectiveness	effectiveness	NOUN
cana-1547	86	9	of	of	ADP
cana-1547	86	10	segmentation	segmentation	NOUN
cana-1547	86	11	approaches	approach	NOUN
cana-1547	86	12	.	.	PUNCT
cana-1547	87	1	2	2	NUM
cana-1547	87	2	ali	ali	PROPN
cana-1547	87	3	farzamnia	farzamnia	PROPN
cana-1547	87	4	,	,	PUNCT
cana-1547	87	5	seyedhamidrezahazaveh	seyedhamidrezahazaveh	PROPN
cana-1547	87	6	;	;	PUNCT
cana-1547	87	7	et	et	PROPN
cana-1547	87	8	al	al	PROPN
cana-1547	87	9	.	.	PROPN
cana-1547	87	10	(	(	PUNCT
cana-1547	87	11	2023	2023	NUM
cana-1547	87	12	)	)	PUNCT
cana-1547	87	13	contourlet	contourlet	NOUN
cana-1547	87	14	transform	transform	NOUN
cana-1547	87	15	based	base	VERB
cana-1547	87	16	on	on	ADP
cana-1547	87	17	time	time	NOUN
cana-1547	87	18	adaptive	adaptive	ADJ
cana-1547	87	19	selforganizing	selforganize	VERB
cana-1547	87	20	map	map	NOUN
cana-1547	87	21	(	(	PUNCT
cana-1547	87	22	tasom	tasom	NOUN
cana-1547	87	23	)	)	PUNCT
cana-1547	87	24	optimized	optimize	VERB
cana-1547	87	25	by	by	ADP
cana-1547	87	26	whale	whale	NOUN
cana-1547	87	27	optimization	optimization	NOUN
cana-1547	87	28	algorithm	algorithm	NOUN
cana-1547	87	29	proposed	propose	VERB
cana-1547	87	30	method	method	NOUN
cana-1547	87	31	utilizes	utilize	VERB
cana-1547	87	32	contourlet	contourlet	NOUN
cana-1547	87	33	transform	transform	NOUN
cana-1547	87	34	and	and	CCONJ
cana-1547	87	35	tasom	tasom	NOUN
cana-1547	87	36	for	for	ADP
cana-1547	87	37	distinguishing	distinguish	VERB
cana-1547	87	38	between	between	ADP
cana-1547	87	39	benign	benign	ADJ
cana-1547	87	40	and	and	CCONJ
cana-1547	87	41	malignant	malignant	ADJ
cana-1547	87	42	brain	brain	NOUN
cana-1547	87	43	tumors	tumor	NOUN
cana-1547	87	44	in	in	ADP
cana-1547	87	45	mri	mri	NOUN
cana-1547	87	46	images	image	NOUN
cana-1547	87	47	.	.	PUNCT
cana-1547	88	1	achieves	achieve	VERB
cana-1547	88	2	classification	classification	NOUN
cana-1547	88	3	accuracy	accuracy	NOUN
cana-1547	88	4	exceeding	exceed	VERB
cana-1547	88	5	95.5	95.5	NUM
cana-1547	88	6	%	%	NOUN
cana-1547	88	7	and	and	CCONJ
cana-1547	88	8	maintains	maintain	VERB
cana-1547	88	9	satisfactory	satisfactory	ADJ
cana-1547	88	10	efficiency	efficiency	NOUN
cana-1547	88	11	in	in	ADP
cana-1547	88	12	terms	term	NOUN
cana-1547	88	13	of	of	ADP
cana-1547	88	14	run	run	NOUN
cana-1547	88	15	-	-	PUNCT
cana-1547	88	16	time	time	NOUN
cana-1547	88	17	.	.	PUNCT
cana-1547	89	1	brats	brat	NOUN
cana-1547	89	2	dataset	dataset	VERB
cana-1547	89	3	provides	provide	VERB
cana-1547	89	4	promising	promising	ADJ
cana-1547	89	5	results	result	NOUN
cana-1547	89	6	for	for	ADP
cana-1547	89	7	precise	precise	ADJ
cana-1547	89	8	classification	classification	NOUN
cana-1547	89	9	of	of	ADP
cana-1547	89	10	mri	mri	NOUN
cana-1547	89	11	brain	brain	NOUN
cana-1547	89	12	images	image	NOUN
cana-1547	89	13	.	.	PUNCT
cana-1547	90	1	requires	require	VERB
cana-1547	90	2	specific	specific	ADJ
cana-1547	90	3	optimization	optimization	NOUN
cana-1547	90	4	algorithm	algorithm	NOUN
cana-1547	90	5	(	(	PUNCT
cana-1547	90	6	whale	whale	NOUN
cana-1547	90	7	optimization	optimization	NOUN
cana-1547	90	8	algorithm	algorithm	NOUN
cana-1547	90	9	)	)	PUNCT
cana-1547	90	10	for	for	ADP
cana-1547	90	11	tasom	tasom	NOUN
cana-1547	90	12	.	.	PUNCT
cana-1547	91	1	specific	specific	ADJ
cana-1547	91	2	dataset	dataset	NOUN
cana-1547	91	3	used	use	VERB
cana-1547	91	4	is	be	AUX
cana-1547	91	5	not	not	PART
cana-1547	91	6	mentioned	mention	VERB
cana-1547	91	7	,	,	PUNCT
cana-1547	91	8	limiting	limit	VERB
cana-1547	91	9	generalizability	generalizability	NOUN
cana-1547	91	10	.	.	PUNCT
cana-1547	92	1	3	3	NUM
cana-1547	92	2	rajatmehrotra	rajatmehrotra	NOUN
cana-1547	92	3	,	,	PUNCT
cana-1547	92	4	m.	m.	NOUN
cana-1547	92	5	a.	a.	NOUN
cana-1547	92	6	ansari	ansari	PROPN
cana-1547	92	7	,	,	PUNCT
cana-1547	92	8	rajeev	rajeev	PROPN
cana-1547	92	9	agrawal	agrawal	PROPN
cana-1547	92	10	,	,	PUNCT
cana-1547	92	11	hisham	hisham	PROPN
cana-1547	92	12	al	al	PROPN
cana-1547	92	13	-	-	PUNCT
cana-1547	92	14	ward	ward	PROPN
cana-1547	92	15	,	,	PUNCT
cana-1547	92	16	et	et	PROPN
cana-1547	92	17	al	al	PROPN
cana-1547	92	18	.	.	PROPN
cana-1547	92	19	(	(	PUNCT
cana-1547	92	20	2023	2023	NUM
cana-1547	92	21	)	)	PUNCT
cana-1547	92	22	discrete	discrete	ADJ
cana-1547	92	23	wavelet	wavelet	NOUN
cana-1547	92	24	transform	transform	NOUN
cana-1547	92	25	(	(	PUNCT
cana-1547	92	26	dwt	dwt	NOUN
cana-1547	92	27	)	)	PUNCT
cana-1547	92	28	,	,	PUNCT
cana-1547	92	29	deep	deep	ADJ
cana-1547	92	30	convolutional	convolutional	ADJ
cana-1547	92	31	network	network	NOUN
cana-1547	92	32	(	(	PUNCT
cana-1547	92	33	dcn	dcn	PROPN
cana-1547	92	34	)	)	PUNCT
cana-1547	92	35	,	,	PUNCT
cana-1547	92	36	feature	feature	NOUN
cana-1547	92	37	fusionbased	fusionbase	VERB
cana-1547	92	38	machine	machine	NOUN
cana-1547	92	39	learning	learn	VERB
cana-1547	92	40	techniques	technique	NOUN
cana-1547	92	41	proposed	propose	VERB
cana-1547	92	42	framework	framework	NOUN
cana-1547	92	43	employs	employ	VERB
cana-1547	92	44	dwt	dwt	NOUN
cana-1547	92	45	for	for	ADP
cana-1547	92	46	feature	feature	NOUN
cana-1547	92	47	extraction	extraction	NOUN
cana-1547	92	48	from	from	ADP
cana-1547	92	49	mr	mr	PROPN
cana-1547	92	50	images	image	NOUN
cana-1547	92	51	,	,	PUNCT
cana-1547	92	52	dcn	dcn	PROPN
cana-1547	92	53	for	for	ADP
cana-1547	92	54	extracting	extract	VERB
cana-1547	92	55	deep	deep	ADJ
cana-1547	92	56	features	feature	NOUN
cana-1547	92	57	,	,	PUNCT
cana-1547	92	58	and	and	CCONJ
cana-1547	92	59	machine	machine	NOUN
cana-1547	92	60	learning	learn	VERB
cana-1547	92	61	for	for	ADP
cana-1547	92	62	classification	classification	NOUN
cana-1547	92	63	of	of	ADP
cana-1547	92	64	tumorous	tumorous	ADJ
cana-1547	92	65	and	and	CCONJ
cana-1547	92	66	nontumorous	nontumorous	ADJ
cana-1547	92	67	mr	mr	PROPN
cana-1547	92	68	images	image	NOUN
cana-1547	92	69	.	.	PUNCT
cana-1547	93	1	achieves	achieve	VERB
cana-1547	93	2	an	an	DET
cana-1547	93	3	accuracy	accuracy	NOUN
cana-1547	93	4	of	of	ADP
cana-1547	93	5	99.5	99.5	NUM
cana-1547	93	6	%	%	NOUN
cana-1547	93	7	and	and	CCONJ
cana-1547	93	8	an	an	DET
cana-1547	93	9	area	area	NOUN
cana-1547	93	10	under	under	ADP
cana-1547	93	11	curve	curve	NOUN
cana-1547	93	12	of	of	ADP
cana-1547	93	13	1	1	NUM
cana-1547	93	14	.	.	PUNCT
cana-1547	94	1	brats	brat	NOUN
cana-1547	94	2	dataset	dataset	VERB
cana-1547	94	3	high	high	ADJ
cana-1547	94	4	accuracy	accuracy	NOUN
cana-1547	94	5	in	in	ADP
cana-1547	94	6	identifying	identify	VERB
cana-1547	94	7	tumorous	tumorous	ADJ
cana-1547	94	8	and	and	CCONJ
cana-1547	94	9	non	non	ADJ
cana-1547	94	10	-	-	ADJ
cana-1547	94	11	tumorous	tumorous	ADJ
cana-1547	94	12	mr	mr	PROPN
cana-1547	94	13	images	image	NOUN
cana-1547	94	14	.	.	PUNCT
cana-1547	95	1	not	not	PART
cana-1547	95	2	specified	specify	VERB
cana-1547	95	3	specific	specific	ADJ
cana-1547	95	4	dataset	dataset	NOUN
cana-1547	95	5	used	use	VERB
cana-1547	95	6	is	be	AUX
cana-1547	95	7	not	not	PART
cana-1547	95	8	mentioned	mention	VERB
cana-1547	95	9	,	,	PUNCT
cana-1547	95	10	limiting	limit	VERB
cana-1547	95	11	generalizability	generalizability	NOUN
cana-1547	95	12	and	and	CCONJ
cana-1547	95	13	reproducibility	reproducibility	NOUN
cana-1547	95	14	of	of	ADP
cana-1547	95	15	results	result	NOUN
cana-1547	95	16	.	.	PUNCT
cana-1547	96	1	4	4	NUM
cana-1547	96	2	mukulaggarwal	mukulaggarwal	NOUN
cana-1547	96	3	,	,	PUNCT
cana-1547	96	4	amod	amod	PROPN
cana-1547	96	5	kumar	kumar	PROPN
cana-1547	96	6	tiwari	tiwari	PROPN
cana-1547	96	7	,	,	PUNCT
cana-1547	96	8	(	(	PUNCT
cana-1547	96	9	2023	2023	NUM
cana-1547	96	10	)	)	PUNCT
cana-1547	96	11	improved	improve	VERB
cana-1547	96	12	residual	residual	ADJ
cana-1547	96	13	network	network	NOUN
cana-1547	96	14	(	(	PUNCT
cana-1547	96	15	resnet	resnet	NOUN
cana-1547	96	16	)	)	PUNCT
cana-1547	96	17	proposes	propose	VERB
cana-1547	96	18	an	an	DET
cana-1547	96	19	efficient	efficient	ADJ
cana-1547	96	20	method	method	NOUN
cana-1547	96	21	for	for	ADP
cana-1547	96	22	brain	brain	NOUN
cana-1547	96	23	tumor	tumor	NOUN
cana-1547	96	24	segmentation	segmentation	NOUN
cana-1547	96	25	using	use	VERB
cana-1547	96	26	an	an	DET
cana-1547	96	27	improved	improved	ADJ
cana-1547	96	28	resnet	resnet	NOUN
cana-1547	96	29	.	.	PUNCT
cana-1547	97	1	achieves	achieve	VERB
cana-1547	97	2	higher	high	ADJ
cana-1547	97	3	precision	precision	NOUN
cana-1547	97	4	and	and	CCONJ
cana-1547	97	5	speeds	speed	NOUN
cana-1547	97	6	up	up	ADP
cana-1547	97	7	the	the	DET
cana-1547	97	8	learning	learning	NOUN
cana-1547	97	9	process	process	NOUN
cana-1547	97	10	compared	compare	VERB
cana-1547	97	11	to	to	ADP
cana-1547	97	12	existing	exist	VERB
cana-1547	97	13	resnet	resnet	NOUN
cana-1547	97	14	.	.	PUNCT
cana-1547	98	1	brats2020	brats2020	NOUN
cana-1547	98	2	competitive	competitive	ADJ
cana-1547	98	3	performance	performance	NOUN
cana-1547	98	4	over	over	ADP
cana-1547	98	5	traditional	traditional	ADJ
cana-1547	98	6	methods	method	NOUN
cana-1547	98	7	like	like	ADP
cana-1547	98	8	cnn	cnn	PROPN
cana-1547	98	9	and	and	CCONJ
cana-1547	98	10	fcn	fcn	PROPN
cana-1547	98	11	.	.	PUNCT
cana-1547	99	1	not	not	PART
cana-1547	99	2	specified	specify	VERB
cana-1547	99	3	the	the	DET
cana-1547	99	4	dataset	dataset	NOUN
cana-1547	99	5	is	be	AUX
cana-1547	99	6	collected	collect	VERB
cana-1547	99	7	from	from	ADP
cana-1547	99	8	the	the	DET
cana-1547	99	9	online	online	ADJ
cana-1547	99	10	kaggle	kaggle	NOUN
cana-1547	99	11	website	website	NOUN
cana-1547	99	12	,	,	PUNCT
cana-1547	99	13	limiting	limit	VERB
cana-1547	99	14	diversity	diversity	NOUN
cana-1547	99	15	and	and	CCONJ
cana-1547	99	16	generalizability	generalizability	NOUN
cana-1547	99	17	.	.	PUNCT
cana-1547	100	1	5	5	NUM
cana-1547	100	2	mohanasundari	mohanasundari	PROPN
cana-1547	100	3	m	m	PROPN
cana-1547	100	4	,	,	PUNCT
cana-1547	100	5	chandrasekaran	chandrasekaran	ADJ
cana-1547	100	6	v	v	ADP
cana-1547	100	7	,	,	PUNCT
cana-1547	100	8	anitha	anitha	PROPN
cana-1547	100	9	s	s	PROPN
cana-1547	100	10	,	,	PUNCT
cana-1547	100	11	et	et	PROPN
cana-1547	100	12	al	al	PROPN
cana-1547	100	13	.	.	PROPN
cana-1547	101	1	(	(	PUNCT
cana-1547	101	2	2023	2023	NUM
cana-1547	101	3	)	)	PUNCT
cana-1547	101	4	amended	amend	VERB
cana-1547	101	5	convolutional	convolutional	ADJ
cana-1547	101	6	neural	neural	ADJ
cana-1547	101	7	network	network	NOUN
cana-1547	101	8	(	(	PUNCT
cana-1547	101	9	acnn	acnn	PROPN
cana-1547	101	10	)	)	PUNCT
cana-1547	101	11	proposes	propose	VERB
cana-1547	101	12	an	an	DET
cana-1547	101	13	acnn	acnn	NOUN
cana-1547	101	14	model	model	NOUN
cana-1547	101	15	for	for	ADP
cana-1547	101	16	brain	brain	NOUN
cana-1547	101	17	tumor	tumor	NOUN
cana-1547	101	18	detection	detection	NOUN
cana-1547	101	19	from	from	ADP
cana-1547	101	20	mri	mri	NOUN
cana-1547	101	21	images	image	NOUN
cana-1547	101	22	.	.	PUNCT
cana-1547	102	1	the	the	DET
cana-1547	102	2	model	model	NOUN
cana-1547	102	3	integrates	integrate	VERB
cana-1547	102	4	kalmanbucy	kalmanbucy	PROPN
cana-1547	102	5	smoothing	smooth	VERB
cana-1547	102	6	filter	filter	NOUN
cana-1547	102	7	,	,	PUNCT
cana-1547	102	8	isotonic	isotonic	ADJ
cana-1547	102	9	regressive	regressive	ADJ
cana-1547	102	10	image	image	NOUN
cana-1547	102	11	tissue	tissue	NOUN
cana-1547	102	12	segmentation	segmentation	NOUN
cana-1547	102	13	,	,	PUNCT
cana-1547	102	14	and	and	CCONJ
cana-1547	102	15	brain	brain	NOUN
cana-1547	102	16	tumor	tumor	NOUN
cana-1547	102	17	mri	mri	NOUN
cana-1547	102	18	dataset	dataset	NOUN
cana-1547	102	19	outperforms	outperform	NOUN
cana-1547	102	20	existing	exist	VERB
cana-1547	102	21	techniques	technique	NOUN
cana-1547	102	22	in	in	ADP
cana-1547	102	23	terms	term	NOUN
cana-1547	102	24	of	of	ADP
cana-1547	102	25	accuracy	accuracy	NOUN
cana-1547	102	26	,	,	PUNCT
cana-1547	102	27	sensitivity	sensitivity	NOUN
cana-1547	102	28	,	,	PUNCT
cana-1547	102	29	precision	precision	NOUN
cana-1547	102	30	,	,	PUNCT
cana-1547	102	31	and	and	CCONJ
cana-1547	102	32	other	other	ADJ
cana-1547	102	33	relies	rely	VERB
cana-1547	102	34	on	on	ADP
cana-1547	102	35	a	a	DET
cana-1547	102	36	substantial	substantial	ADJ
cana-1547	102	37	volume	volume	NOUN
cana-1547	102	38	of	of	ADP
cana-1547	102	39	training	training	NOUN
cana-1547	102	40	data	datum	NOUN
cana-1547	102	41	.	.	PUNCT
cana-1547	103	1	reliance	reliance	NOUN
cana-1547	103	2	on	on	ADP
cana-1547	103	3	a	a	DET
cana-1547	103	4	substantial	substantial	ADJ
cana-1547	103	5	volume	volume	NOUN
cana-1547	103	6	of	of	ADP
cana-1547	103	7	training	training	NOUN
cana-1547	103	8	data	datum	NOUN
cana-1547	103	9	;	;	PUNCT
cana-1547	103	10	exploration	exploration	NOUN
cana-1547	103	11	of	of	ADP
cana-1547	103	12	alternative	alternative	ADJ
cana-1547	103	13	communications	communication	NOUN
cana-1547	103	14	on	on	ADP
cana-1547	103	15	applied	apply	VERB
cana-1547	103	16	nonlinear	nonlinear	ADJ
cana-1547	103	17	analysis	analysis	NOUN
cana-1547	103	18	issn	issn	NOUN
cana-1547	103	19	:	:	PUNCT
cana-1547	103	20	1074	1074	NUM
cana-1547	103	21	-	-	PUNCT
cana-1547	103	22	133x	133x	NUM
cana-1547	103	23	vol	vol	NOUN
cana-1547	103	24	31	31	NUM
cana-1547	103	25	no	no	NOUN
cana-1547	103	26	.	.	PUNCT
cana-1547	104	1	8s	8s	PROPN
cana-1547	104	2	(	(	PUNCT
cana-1547	104	3	2024	2024	NUM
cana-1547	104	4	)	)	PUNCT
cana-1547	104	5	546	546	NUM
cana-1547	104	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-1547	104	7	marr	marr	ADJ
cana-1547	104	8	wavelet	wavelet	NOUN
cana-1547	104	9	transformation	transformation	NOUN
cana-1547	104	10	.	.	PUNCT
cana-1547	105	1	achieves	achieve	VERB
cana-1547	105	2	high	high	ADJ
cana-1547	105	3	accuracy	accuracy	NOUN
cana-1547	105	4	(	(	PUNCT
cana-1547	105	5	98.8	98.8	NUM
cana-1547	105	6	%	%	NOUN
cana-1547	105	7	)	)	PUNCT
cana-1547	105	8	compared	compare	VERB
cana-1547	105	9	to	to	ADP
cana-1547	105	10	existing	exist	VERB
cana-1547	105	11	models	model	NOUN
cana-1547	105	12	.	.	PUNCT
cana-1547	106	1	metrics	metric	NOUN
cana-1547	106	2	.	.	PUNCT
cana-1547	107	1	architectures	architecture	NOUN
cana-1547	107	2	needed	need	VERB
cana-1547	107	3	for	for	ADP
cana-1547	107	4	efficiency	efficiency	NOUN
cana-1547	107	5	in	in	ADP
cana-1547	107	6	future	future	ADJ
cana-1547	107	7	implementations	implementation	NOUN
cana-1547	107	8	.	.	PUNCT
cana-1547	107	9	6	6	NUM
cana-1547	107	10	mrs.prerana	mrs.prerana	NOUN
cana-1547	107	11	a.	a.	NOUN
cana-1547	107	12	wankhede1	wankhede1	PROPN
cana-1547	107	13	,	,	PUNCT
cana-1547	107	14	dr	dr	PROPN
cana-1547	107	15	.	.	PROPN
cana-1547	107	16	swati	swati	PROPN
cana-1547	107	17	r.	r.	PROPN
cana-1547	107	18	dixit	dixit	PROPN
cana-1547	107	19	(	(	PUNCT
cana-1547	107	20	2023	2023	NUM
cana-1547	107	21	)	)	PUNCT
cana-1547	107	22	cnn	cnn	PROPN
cana-1547	107	23	and	and	CCONJ
cana-1547	107	24	dwt	dwt	NOUN
cana-1547	107	25	technique	technique	NOUN
cana-1547	107	26	describes	describe	VERB
cana-1547	107	27	the	the	DET
cana-1547	107	28	use	use	NOUN
cana-1547	107	29	of	of	ADP
cana-1547	107	30	cnn	cnn	PROPN
cana-1547	107	31	and	and	CCONJ
cana-1547	107	32	dwt	dwt	NOUN
cana-1547	107	33	for	for	ADP
cana-1547	107	34	the	the	DET
cana-1547	107	35	diagnosis	diagnosis	NOUN
cana-1547	107	36	of	of	ADP
cana-1547	107	37	malignant	malignant	ADJ
cana-1547	107	38	and	and	CCONJ
cana-1547	107	39	benign	benign	ADJ
cana-1547	107	40	brain	brain	NOUN
cana-1547	107	41	tumors	tumor	NOUN
cana-1547	107	42	using	use	VERB
cana-1547	107	43	mri	mri	NOUN
cana-1547	107	44	images	image	NOUN
cana-1547	107	45	.	.	PUNCT
cana-1547	108	1	proposes	propose	VERB
cana-1547	108	2	a	a	DET
cana-1547	108	3	refined	refined	ADJ
cana-1547	108	4	dwt	dwt	NOUN
cana-1547	108	5	filtering	filtering	NOUN
cana-1547	108	6	technique	technique	NOUN
cana-1547	108	7	for	for	ADP
cana-1547	108	8	noise	noise	NOUN
cana-1547	108	9	reduction	reduction	NOUN
cana-1547	108	10	and	and	CCONJ
cana-1547	108	11	smoothness	smoothness	ADJ
cana-1547	108	12	enhancement	enhancement	NOUN
cana-1547	108	13	.	.	PUNCT
cana-1547	109	1	achieves	achieve	VERB
cana-1547	109	2	improved	improved	ADJ
cana-1547	109	3	accuracy	accuracy	NOUN
cana-1547	109	4	compared	compare	VERB
cana-1547	109	5	to	to	ADP
cana-1547	109	6	manual	manual	ADJ
cana-1547	109	7	screening	screening	NOUN
cana-1547	109	8	.	.	PUNCT
cana-1547	110	1	kaggle	kaggle	PROPN
cana-1547	110	2	dataset	dataset	PROPN
cana-1547	110	3	improved	improve	VERB
cana-1547	110	4	accuracy	accuracy	NOUN
cana-1547	110	5	compared	compare	VERB
cana-1547	110	6	to	to	ADP
cana-1547	110	7	manual	manual	ADJ
cana-1547	110	8	screening	screening	NOUN
cana-1547	110	9	.	.	PUNCT
cana-1547	111	1	reliance	reliance	NOUN
cana-1547	111	2	on	on	ADP
cana-1547	111	3	a	a	DET
cana-1547	111	4	substantial	substantial	ADJ
cana-1547	111	5	volume	volume	NOUN
cana-1547	111	6	of	of	ADP
cana-1547	111	7	training	training	NOUN
cana-1547	111	8	data	datum	NOUN
cana-1547	111	9	.	.	PUNCT
cana-1547	112	1	reliance	reliance	NOUN
cana-1547	112	2	on	on	ADP
cana-1547	112	3	a	a	DET
cana-1547	112	4	substantial	substantial	ADJ
cana-1547	112	5	volume	volume	NOUN
cana-1547	112	6	of	of	ADP
cana-1547	112	7	training	training	NOUN
cana-1547	112	8	data	datum	NOUN
cana-1547	112	9	;	;	PUNCT
cana-1547	112	10	exploration	exploration	NOUN
cana-1547	112	11	of	of	ADP
cana-1547	112	12	alternative	alternative	ADJ
cana-1547	112	13	architectures	architecture	NOUN
cana-1547	112	14	needed	need	VERB
cana-1547	112	15	for	for	ADP
cana-1547	112	16	efficiency	efficiency	NOUN
cana-1547	112	17	in	in	ADP
cana-1547	112	18	future	future	ADJ
cana-1547	112	19	7	7	NUM
cana-1547	112	20	soheilasaeedi	soheilasaeedi	NOUN
cana-1547	112	21	,	,	PUNCT
cana-1547	112	22	sorayyarezayi	sorayyarezayi	NOUN
cana-1547	112	23	,	,	PUNCT
cana-1547	112	24	hamidrezakeshavarz&sharareh	hamidrezakeshavarz&sharareh	PROPN
cana-1547	112	25	r.	r.	PROPN
cana-1547	112	26	niakankalhori	niakankalhori	NOUN
cana-1547	112	27	(	(	PUNCT
cana-1547	112	28	2023	2023	NUM
cana-1547	112	29	)	)	PUNCT
cana-1547	112	30	convolutional	convolutional	ADJ
cana-1547	112	31	deep	deep	ADJ
cana-1547	112	32	learning	learning	NOUN
cana-1547	112	33	methods	method	NOUN
cana-1547	112	34	and	and	CCONJ
cana-1547	112	35	chosen	choose	VERB
cana-1547	112	36	machine	machine	NOUN
cana-1547	112	37	learning	learn	VERB
cana-1547	112	38	techniques	technique	NOUN
cana-1547	112	39	proposes	propose	VERB
cana-1547	112	40	two	two	NUM
cana-1547	112	41	deep	deep	ADJ
cana-1547	112	42	learning	learning	NOUN
cana-1547	112	43	methods	method	NOUN
cana-1547	112	44	and	and	CCONJ
cana-1547	112	45	several	several	ADJ
cana-1547	112	46	machine	machine	NOUN
cana-1547	112	47	learning	learning	NOUN
cana-1547	112	48	approaches	approach	NOUN
cana-1547	112	49	for	for	ADP
cana-1547	112	50	mri	mri	NOUN
cana-1547	112	51	-	-	PUNCT
cana-1547	112	52	based	base	VERB
cana-1547	112	53	brain	brain	NOUN
cana-1547	112	54	tumor	tumor	NOUN
cana-1547	112	55	detection	detection	NOUN
cana-1547	112	56	.	.	PUNCT
cana-1547	113	1	achieves	achieve	VERB
cana-1547	113	2	high	high	ADJ
cana-1547	113	3	accuracy	accuracy	NOUN
cana-1547	113	4	in	in	ADP
cana-1547	113	5	classifying	classify	VERB
cana-1547	113	6	glioma	glioma	NOUN
cana-1547	113	7	,	,	PUNCT
cana-1547	113	8	meningioma	meningioma	NOUN
cana-1547	113	9	,	,	PUNCT
cana-1547	113	10	pituitary	pituitary	ADJ
cana-1547	113	11	gland	gland	NOUN
cana-1547	113	12	tumors	tumor	NOUN
cana-1547	113	13	,	,	PUNCT
cana-1547	113	14	and	and	CCONJ
cana-1547	113	15	healthy	healthy	ADJ
cana-1547	113	16	brains	brain	NOUN
cana-1547	113	17	using	use	VERB
cana-1547	113	18	mri	mri	NOUN
cana-1547	113	19	images	image	NOUN
cana-1547	113	20	.	.	PUNCT
cana-1547	114	1	t1	t1	NOUN
cana-1547	114	2	-	-	PUNCT
cana-1547	114	3	weighted	weight	VERB
cana-1547	114	4	contrastenhanced	contrastenhance	VERB
cana-1547	114	5	mri	mri	NOUN
cana-1547	114	6	images	image	NOUN
cana-1547	114	7	high	high	ADJ
cana-1547	114	8	accuracy	accuracy	NOUN
cana-1547	114	9	in	in	ADP
cana-1547	114	10	classifying	classify	VERB
cana-1547	114	11	brain	brain	NOUN
cana-1547	114	12	tumors	tumor	NOUN
cana-1547	114	13	.	.	PUNCT
cana-1547	115	1	training	training	NOUN
cana-1547	115	2	and	and	CCONJ
cana-1547	115	3	execution	execution	NOUN
cana-1547	115	4	time	time	NOUN
cana-1547	115	5	may	may	AUX
cana-1547	115	6	vary	vary	VERB
cana-1547	115	7	for	for	ADP
cana-1547	115	8	different	different	ADJ
cana-1547	115	9	methods	method	NOUN
cana-1547	115	10	.	.	PUNCT
cana-1547	116	1	requires	require	VERB
cana-1547	116	2	further	further	ADJ
cana-1547	116	3	validation	validation	NOUN
cana-1547	116	4	and	and	CCONJ
cana-1547	116	5	testing	testing	NOUN
cana-1547	116	6	in	in	ADP
cana-1547	116	7	clinical	clinical	ADJ
cana-1547	116	8	settings	setting	NOUN
cana-1547	116	9	.	.	PUNCT
cana-1547	117	1	8	8	NUM
cana-1547	117	2	b.	b.	PROPN
cana-1547	117	3	v.	v.	PROPN
cana-1547	117	4	prakash	prakash	PROPN
cana-1547	117	5	,	,	PUNCT
cana-1547	117	6	a.	a.	PROPN
cana-1547	117	7	rajiv	rajiv	PROPN
cana-1547	117	8	kannan	kannan	PROPN
cana-1547	117	9	,	,	PUNCT
cana-1547	117	10	n.	n.	PROPN
cana-1547	117	11	santhiyakumari	santhiyakumari	PROPN
cana-1547	117	12	,	,	PUNCT
cana-1547	117	13	s.	s.	PROPN
cana-1547	117	14	kumarganesh	kumarganesh	PROPN
cana-1547	117	15	,	,	PUNCT
cana-1547	117	16	d.	d.	PROPN
cana-1547	117	17	siva	siva	PROPN
cana-1547	117	18	sundhara	sundhara	PROPN
cana-1547	117	19	raja(2023	raja(2023	PROPN
cana-1547	117	20	)	)	PUNCT
cana-1547	117	21	hybrid	hybrid	ADJ
cana-1547	117	22	cnn	cnn	PROPN
cana-1547	117	23	method	method	NOUN
cana-1547	117	24	and	and	CCONJ
cana-1547	117	25	ridgelet	ridgelet	ADJ
cana-1547	117	26	transform	transform	NOUN
cana-1547	117	27	proposes	propose	VERB
cana-1547	117	28	a	a	DET
cana-1547	117	29	hybrid	hybrid	ADJ
cana-1547	117	30	convolutional	convolutional	ADJ
cana-1547	117	31	neural	neural	ADJ
cana-1547	117	32	network	network	NOUN
cana-1547	117	33	(	(	PUNCT
cana-1547	117	34	hcnn	hcnn	NOUN
cana-1547	117	35	)	)	PUNCT
cana-1547	117	36	classifier	classifier	NOUN
cana-1547	117	37	for	for	ADP
cana-1547	117	38	meningioma	meningioma	NOUN
cana-1547	117	39	brain	brain	NOUN
cana-1547	117	40	tumor	tumor	NOUN
cana-1547	117	41	detection	detection	NOUN
cana-1547	117	42	and	and	CCONJ
cana-1547	117	43	classification	classification	NOUN
cana-1547	117	44	.	.	PUNCT
cana-1547	118	1	utilizes	utilize	VERB
cana-1547	118	2	ridgelet	ridgelet	ADJ
cana-1547	118	3	transform	transform	NOUN
cana-1547	118	4	for	for	ADP
cana-1547	118	5	improved	improved	ADJ
cana-1547	118	6	pixel	pixel	NOUN
cana-1547	118	7	stability	stability	NOUN
cana-1547	118	8	during	during	ADP
cana-1547	118	9	decomposition	decomposition	NOUN
cana-1547	118	10	.	.	PUNCT
cana-1547	119	1	achieves	achieve	VERB
cana-1547	119	2	high	high	ADJ
cana-1547	119	3	sensitivity	sensitivity	NOUN
cana-1547	119	4	,	,	PUNCT
cana-1547	119	5	specificity	specificity	NOUN
cana-1547	119	6	,	,	PUNCT
cana-1547	119	7	and	and	CCONJ
cana-1547	119	8	segmentation	segmentation	NOUN
cana-1547	119	9	accuracy	accuracy	NOUN
cana-1547	119	10	on	on	ADP
cana-1547	119	11	brats	brat	NOUN
cana-1547	119	12	2019	2019	NUM
cana-1547	119	13	,	,	PUNCT
cana-1547	119	14	nanfang	nanfang	PROPN
cana-1547	119	15	,	,	PUNCT
cana-1547	119	16	and	and	CCONJ
cana-1547	119	17	brats	brat	NOUN
cana-1547	119	18	2022	2022	NUM
cana-1547	119	19	datasets	dataset	NOUN
cana-1547	119	20	.	.	PUNCT
cana-1547	120	1	compares	compare	VERB
cana-1547	120	2	favorably	favorably	ADV
cana-1547	120	3	with	with	ADP
cana-1547	120	4	state	state	NOUN
cana-1547	120	5	-	-	PUNCT
cana-1547	120	6	of	of	ADP
cana-1547	120	7	-	-	PUNCT
cana-1547	120	8	the	the	DET
cana-1547	120	9	-	-	PUNCT
cana-1547	120	10	art	art	NOUN
cana-1547	120	11	algorithms	algorithm	NOUN
cana-1547	120	12	.	.	PUNCT
cana-1547	121	1	brats	brat	NOUN
cana-1547	121	2	2019	2019	NUM
cana-1547	121	3	,	,	PUNCT
cana-1547	121	4	nanfang	nanfang	PROPN
cana-1547	121	5	,	,	PUNCT
cana-1547	121	6	brats	brat	NOUN
cana-1547	121	7	2022	2022	NUM
cana-1547	121	8	complete	complete	ADJ
cana-1547	121	9	computerbased	computerbase	VERB
cana-1547	121	10	automated	automate	VERB
cana-1547	121	11	method	method	NOUN
cana-1547	121	12	for	for	ADP
cana-1547	121	13	identifying	identify	VERB
cana-1547	121	14	meningioma	meningioma	NOUN
cana-1547	121	15	and	and	CCONJ
cana-1547	121	16	non	non	ADJ
cana-1547	121	17	-	-	ADJ
cana-1547	121	18	meningioma	meningioma	ADJ
cana-1547	121	19	images	image	NOUN
cana-1547	121	20	.	.	PUNCT
cana-1547	122	1	high	high	ADJ
cana-1547	122	2	classification	classification	NOUN
cana-1547	122	3	accuracy	accuracy	NOUN
cana-1547	122	4	and	and	CCONJ
cana-1547	122	5	performance	performance	NOUN
cana-1547	122	6	analysis	analysis	NOUN
cana-1547	122	7	parameters	parameter	NOUN
cana-1547	122	8	.	.	PUNCT
cana-1547	123	1	requires	require	VERB
cana-1547	123	2	further	further	ADJ
cana-1547	123	3	validation	validation	NOUN
cana-1547	123	4	on	on	ADP
cana-1547	123	5	larger	large	ADJ
cana-1547	123	6	and	and	CCONJ
cana-1547	123	7	more	more	ADV
cana-1547	123	8	diverse	diverse	ADJ
cana-1547	123	9	datasets	dataset	NOUN
cana-1547	123	10	.	.	PUNCT
cana-1547	124	1	the	the	DET
cana-1547	124	2	impact	impact	NOUN
cana-1547	124	3	of	of	ADP
cana-1547	124	4	the	the	DET
cana-1547	124	5	proposed	propose	VERB
cana-1547	124	6	morphological	morphological	ADJ
cana-1547	124	7	method	method	NOUN
cana-1547	124	8	on	on	ADP
cana-1547	124	9	tumor	tumor	NOUN
cana-1547	124	10	segmentation	segmentation	NOUN
cana-1547	124	11	compared	compare	VERB
cana-1547	124	12	with	with	ADP
cana-1547	124	13	other	other	ADJ
cana-1547	124	14	existing	exist	VERB
cana-1547	124	15	algorithms	algorithm	NOUN
cana-1547	124	16	needs	need	VERB
cana-1547	124	17	further	further	ADJ
cana-1547	124	18	investigation	investigation	NOUN
cana-1547	124	19	.	.	PUNCT
cana-1547	125	1	communications	communication	NOUN
cana-1547	125	2	on	on	ADP
cana-1547	125	3	applied	apply	VERB
cana-1547	125	4	nonlinear	nonlinear	ADJ
cana-1547	125	5	analysis	analysis	NOUN
cana-1547	125	6	issn	issn	NOUN
cana-1547	125	7	:	:	PUNCT
cana-1547	125	8	1074	1074	NUM
cana-1547	125	9	-	-	PUNCT
cana-1547	125	10	133x	133x	NUM
cana-1547	125	11	vol	vol	NOUN
cana-1547	125	12	31	31	NUM
cana-1547	125	13	no	no	NOUN
cana-1547	125	14	.	.	PUNCT
cana-1547	126	1	8s	8s	PROPN
cana-1547	126	2	(	(	PUNCT
cana-1547	126	3	2024	2024	NUM
cana-1547	126	4	)	)	PUNCT
cana-1547	126	5	547	547	NUM
cana-1547	126	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1547	126	7	3	3	X
cana-1547	126	8	.	.	PUNCT
cana-1547	126	9	brain	brain	NOUN
cana-1547	126	10	tumor	tumor	NOUN
cana-1547	126	11	classification	classification	NOUN
cana-1547	126	12	brain	brain	NOUN
cana-1547	126	13	tumors	tumor	NOUN
cana-1547	126	14	can	can	AUX
cana-1547	126	15	be	be	AUX
cana-1547	126	16	broadly	broadly	ADV
cana-1547	126	17	classified	classify	VERB
cana-1547	126	18	as	as	ADP
cana-1547	126	19	malignant	malignant	ADJ
cana-1547	126	20	or	or	CCONJ
cana-1547	126	21	non	non	ADJ
cana-1547	126	22	-	-	ADJ
cana-1547	126	23	malignant	malignant	ADJ
cana-1547	126	24	(	(	PUNCT
cana-1547	126	25	benign	benign	ADJ
cana-1547	126	26	)	)	PUNCT
cana-1547	126	27	tumors	tumor	NOUN
cana-1547	126	28	,	,	PUNCT
cana-1547	126	29	and	and	CCONJ
cana-1547	126	30	have	have	AUX
cana-1547	126	31	been	be	AUX
cana-1547	126	32	graded	grade	VERB
cana-1547	126	33	from	from	ADP
cana-1547	126	34	i	i	PRON
cana-1547	126	35	to	to	ADP
cana-1547	126	36	iv	iv	NUM
cana-1547	126	37	using	use	VERB
cana-1547	126	38	a	a	DET
cana-1547	126	39	classification	classification	NOUN
cana-1547	126	40	scheme	scheme	NOUN
cana-1547	126	41	specified	specify	VERB
cana-1547	126	42	by	by	ADP
cana-1547	126	43	the	the	DET
cana-1547	126	44	world	world	PROPN
cana-1547	126	45	health	health	PROPN
cana-1547	126	46	organization	organization	NOUN
cana-1547	126	47	(	(	PUNCT
cana-1547	126	48	who	who	PRON
cana-1547	126	49	)	)	PUNCT
cana-1547	126	50	.	.	PUNCT
cana-1547	127	1	as	as	SCONJ
cana-1547	127	2	graded	grade	VERB
cana-1547	127	3	by	by	ADP
cana-1547	127	4	who	who	PRON
cana-1547	127	5	,	,	PUNCT
cana-1547	127	6	majority	majority	NOUN
cana-1547	127	7	of	of	ADP
cana-1547	127	8	brain	brain	NOUN
cana-1547	127	9	tumors	tumor	NOUN
cana-1547	127	10	detected	detect	VERB
cana-1547	127	11	are	be	AUX
cana-1547	127	12	benign	benign	ADJ
cana-1547	127	13	,	,	PUNCT
cana-1547	127	14	out	out	ADP
cana-1547	127	15	of	of	ADP
cana-1547	127	16	which	which	PRON
cana-1547	127	17	the	the	DET
cana-1547	127	18	majority	majority	NOUN
cana-1547	127	19	of	of	ADP
cana-1547	127	20	benign	benign	ADJ
cana-1547	127	21	tumors	tumor	NOUN
cana-1547	127	22	are	be	AUX
cana-1547	127	23	meningioma	meningioma	ADJ
cana-1547	127	24	.	.	PUNCT
cana-1547	128	1	the	the	DET
cana-1547	128	2	majority	majority	NOUN
cana-1547	128	3	of	of	ADP
cana-1547	128	4	bts	bt	NOUN
cana-1547	128	5	(	(	PUNCT
cana-1547	128	6	graded	grade	VERB
cana-1547	128	7	by	by	ADP
cana-1547	128	8	who	who	PRON
cana-1547	128	9	as	as	ADP
cana-1547	128	10	grades	grade	NOUN
cana-1547	128	11	iii	iii	PROPN
cana-1547	128	12	and	and	CCONJ
cana-1547	128	13	iv	iv	NUM
cana-1547	128	14	)	)	PUNCT
cana-1547	128	15	are	be	AUX
cana-1547	128	16	gliomas	glioma	NOUN
cana-1547	128	17	,	,	PUNCT
cana-1547	128	18	(	(	PUNCT
cana-1547	128	19	of	of	ADP
cana-1547	128	20	which	which	DET
cana-1547	128	21	glioblastoma	glioblastoma	NOUN
cana-1547	128	22	and	and	CCONJ
cana-1547	128	23	this	this	PRON
cana-1547	128	24	is	be	AUX
cana-1547	128	25	most	most	ADV
cana-1547	128	26	common	common	ADJ
cana-1547	128	27	histologic	histologic	ADJ
cana-1547	128	28	type	type	NOUN
cana-1547	128	29	.	.	PUNCT
cana-1547	129	1	primary	primary	ADJ
cana-1547	129	2	brain	brain	NOUN
cana-1547	129	3	tumor	tumor	NOUN
cana-1547	129	4	is	be	AUX
cana-1547	129	5	the	the	DET
cana-1547	129	6	brain	brain	NOUN
cana-1547	129	7	tumor	tumor	NOUN
cana-1547	129	8	which	which	PRON
cana-1547	129	9	originates	originate	VERB
cana-1547	129	10	directly	directly	ADV
cana-1547	129	11	from	from	ADP
cana-1547	129	12	tissues	tissue	NOUN
cana-1547	129	13	of	of	ADP
cana-1547	129	14	the	the	DET
cana-1547	129	15	brain	brain	NOUN
cana-1547	129	16	.	.	PUNCT
cana-1547	130	1	metastatic	metastatic	ADJ
cana-1547	130	2	brain	brain	NOUN
cana-1547	130	3	tumor	tumor	NOUN
cana-1547	130	4	is	be	AUX
cana-1547	130	5	the	the	DET
cana-1547	130	6	tumors	tumor	NOUN
cana-1547	130	7	that	that	PRON
cana-1547	130	8	originate	originate	VERB
cana-1547	130	9	from	from	ADP
cana-1547	130	10	the	the	DET
cana-1547	130	11	other	other	ADJ
cana-1547	130	12	body	body	NOUN
cana-1547	130	13	parts	part	NOUN
cana-1547	130	14	such	such	ADJ
cana-1547	130	15	as	as	ADP
cana-1547	130	16	lungs	lung	NOUN
cana-1547	130	17	or	or	CCONJ
cana-1547	130	18	breast	breast	NOUN
cana-1547	130	19	,	,	PUNCT
cana-1547	130	20	and	and	CCONJ
cana-1547	130	21	migrate	migrate	VERB
cana-1547	130	22	to	to	ADP
cana-1547	130	23	the	the	DET
cana-1547	130	24	brain	brain	NOUN
cana-1547	130	25	through	through	ADP
cana-1547	130	26	the	the	DET
cana-1547	130	27	bloodstream.some	bloodstream.some	NOUN
cana-1547	130	28	of	of	ADP
cana-1547	130	29	the	the	DET
cana-1547	130	30	frequent	frequent	ADJ
cana-1547	130	31	benign	benign	ADJ
cana-1547	130	32	and	and	CCONJ
cana-1547	130	33	malignant	malignant	ADJ
cana-1547	130	34	brain	brain	NOUN
cana-1547	130	35	tumors	tumor	NOUN
cana-1547	130	36	are	be	AUX
cana-1547	130	37	described	describe	VERB
cana-1547	130	38	below	below	ADP
cana-1547	130	39	in	in	ADP
cana-1547	130	40	table	table	NOUN
cana-1547	130	41	1	1	NUM
cana-1547	130	42	:	:	PUNCT
cana-1547	130	43	table	table	NOUN
cana-1547	130	44	1	1	NUM
cana-1547	130	45	:	:	PUNCT
cana-1547	130	46	commonly	commonly	ADV
cana-1547	130	47	occurring	occur	VERB
cana-1547	130	48	brain	brain	NOUN
cana-1547	130	49	tumors	tumor	NOUN
cana-1547	130	50	in	in	ADP
cana-1547	130	51	the	the	DET
cana-1547	130	52	us(ostrom	us(ostrom	PROPN
cana-1547	130	53	,	,	PUNCT
cana-1547	130	54	2019	2019	NUM
cana-1547	130	55	)	)	PUNCT
cana-1547	130	56	glioma	glioma	NOUN
cana-1547	130	57	gbm	gbm	NOUN
cana-1547	130	58	14.6	14.6	NUM
cana-1547	130	59	3.21	3.21	NUM
cana-1547	130	60	malignant	malignant	NOUN
cana-1547	130	61	(	(	PUNCT
cana-1547	130	62	gradeiv	gradeiv	NOUN
cana-1547	130	63	)	)	PUNCT
cana-1547	130	64	in	in	ADP
cana-1547	130	65	older	old	ADJ
cana-1547	130	66	and	and	CCONJ
cana-1547	130	67	more	more	ADV
cana-1547	130	68	common	common	ADJ
cana-1547	130	69	in	in	ADP
cana-1547	130	70	males	male	NOUN
cana-1547	130	71	pilocytic	pilocytic	ADJ
cana-1547	130	72	astrocytoma	astrocytoma	NOUN
cana-1547	130	73	1.29	1.29	NUM
cana-1547	130	74	0.35	0.35	NUM
cana-1547	130	75	non	non	ADJ
cana-1547	130	76	-	-	ADJ
cana-1547	130	77	malignant	malignant	ADJ
cana-1547	130	78	(	(	PUNCT
cana-1547	130	79	grade	grade	NOUN
cana-1547	130	80	-	-	PUNCT
cana-1547	130	81	i	i	NOUN
cana-1547	130	82	)	)	PUNCT
cana-1547	130	83	in	in	ADP
cana-1547	130	84	children	child	NOUN
cana-1547	130	85	diffuse	diffuse	VERB
cana-1547	130	86	astrocytoma	astrocytoma	NOUN
cana-1547	130	87	1.90	1.90	NUM
cana-1547	130	88	0.46	0.46	NUM
cana-1547	130	89	malignant	malignant	ADJ
cana-1547	130	90	(	(	PUNCT
cana-1547	130	91	gradeii	gradeii	NOUN
cana-1547	130	92	)	)	PUNCT
cana-1547	130	93	both	both	PRON
cana-1547	130	94	in	in	ADP
cana-1547	130	95	children	child	NOUN
cana-1547	130	96	and	and	CCONJ
cana-1547	130	97	older	old	ADJ
cana-1547	130	98	adults	adult	NOUN
cana-1547	130	99	anaplastic	anaplastic	ADJ
cana-1547	130	100	astrocytoma	astrocytoma	NOUN
cana-1547	130	101	1.69	1.69	NUM
cana-1547	130	102	0.41	0.41	NUM
cana-1547	130	103	malignant	malignant	NOUN
cana-1547	130	104	(	(	PUNCT
cana-1547	130	105	gradeiii	gradeiii	NOUN
cana-1547	130	106	)	)	PUNCT
cana-1547	130	107	only	only	ADV
cana-1547	130	108	adults	adult	NOUN
cana-1547	130	109	oligodendroglioma	oligodendroglioma	VERB
cana-1547	130	110	1.29	1.29	NUM
cana-1547	130	111	0.34	0.34	NUM
cana-1547	130	112	malignant	malignant	NOUN
cana-1547	130	113	(	(	PUNCT
cana-1547	130	114	grades	grade	NOUN
cana-1547	130	115	ii‒iii	ii‒iii	NOUN
cana-1547	130	116	)	)	PUNCT
cana-1547	130	117	only	only	ADV
cana-1547	130	118	adults	adult	NOUN
cana-1547	130	119	meningioma	meningioma	VERB
cana-1547	130	120	benign	benign	ADJ
cana-1547	130	121	meningioma	meningioma	NOUN
cana-1547	130	122	34.85	34.85	NUM
cana-1547	130	123	7.82	7.82	NUM
cana-1547	130	124	non	non	ADJ
cana-1547	130	125	-	-	ADJ
cana-1547	130	126	malignant	malignant	ADJ
cana-1547	130	127	(	(	PUNCT
cana-1547	130	128	grade	grade	NOUN
cana-1547	130	129	i	i	NOUN
cana-1547	130	130	)	)	PUNCT
cana-1547	130	131	adults	adult	NOUN
cana-1547	130	132	and	and	CCONJ
cana-1547	130	133	common	common	ADJ
cana-1547	130	134	in	in	ADP
cana-1547	130	135	females	female	NOUN
cana-1547	130	136	atypical	atypical	ADJ
cana-1547	130	137	meningioma	meningioma	NOUN
cana-1547	130	138	1.79	1.79	NUM
cana-1547	130	139	0.40	0.40	NUM
cana-1547	130	140	malignant	malignant	ADJ
cana-1547	130	141	(	(	PUNCT
cana-1547	130	142	gradeii	gradeii	NOUN
cana-1547	130	143	)	)	PUNCT
cana-1547	130	144	malignant	malignant	ADJ
cana-1547	130	145	meningioma	meningioma	NOUN
cana-1547	130	146	0.5	0.5	NUM
cana-1547	130	147	0.10	0.10	NUM
cana-1547	130	148	malignant	malignant	ADJ
cana-1547	130	149	(	(	PUNCT
cana-1547	130	150	gradeiii	gradeiii	NOUN
cana-1547	130	151	)	)	PUNCT
cana-1547	130	152	only	only	ADV
cana-1547	130	153	adults	adult	NOUN
cana-1547	130	154	embryonal	embryonal	ADJ
cana-1547	130	155	tumors	tumor	NOUN
cana-1547	130	156	medulloblastoma	medulloblastoma	VERB
cana-1547	130	157	0.6	0.6	NUM
cana-1547	130	158	0.15	0.15	NUM
cana-1547	130	159	malignant	malignant	ADJ
cana-1547	130	160	(	(	PUNCT
cana-1547	130	161	gradeiv	gradeiv	NOUN
cana-1547	130	162	)	)	PUNCT
cana-1547	130	163	only	only	ADV
cana-1547	130	164	children	child	NOUN
cana-1547	130	165	primary	primary	ADJ
cana-1547	130	166	neuroectodermal	neuroectodermal	ADJ
cana-1547	130	167	tumors	tumor	NOUN
cana-1547	130	168	0.10	0.10	NUM
cana-1547	130	169	0.04	0.04	NUM
cana-1547	130	170	malignant	malignant	NOUN
cana-1547	130	171	(	(	PUNCT
cana-1547	130	172	gradeiv	gradeiv	NOUN
cana-1547	130	173	)	)	PUNCT
cana-1547	130	174	only	only	ADV
cana-1547	130	175	children	child	NOUN
cana-1547	130	176	atypical	atypical	ADJ
cana-1547	130	177	teratoid	teratoid	NOUN
cana-1547	130	178	0.10	0.10	NUM
cana-1547	130	179	0.03	0.03	NUM
cana-1547	130	180	malignant	malignant	NOUN
cana-1547	130	181	(	(	PUNCT
cana-1547	130	182	gradeiv	gradeiv	NOUN
cana-1547	130	183	)	)	PUNCT
cana-1547	130	184	only	only	ADV
cana-1547	130	185	children	child	NOUN
cana-1547	130	186	vestibular	vestibular	ADJ
cana-1547	130	187	schwannoma	schwannoma	VERB
cana-1547	130	188	8.19	8.19	NUM
cana-1547	130	189	1.90	1.90	NUM
cana-1547	130	190	mostly	mostly	ADV
cana-1547	130	191	nonmalignant	nonmalignant	ADJ
cana-1547	130	192	(	(	PUNCT
cana-1547	130	193	gradei	gradei	PROPN
cana-1547	130	194	)	)	PUNCT
cana-1547	130	195	only	only	ADV
cana-1547	130	196	adults	adult	NOUN
cana-1547	130	197	nerve	nerve	NOUN
cana-1547	130	198	-	-	PUNCT
cana-1547	130	199	sheath	sheath	NOUN
cana-1547	130	200	tumors	tumor	NOUN
cana-1547	130	201	pituitary	pituitary	ADJ
cana-1547	130	202	adenoma	adenoma	ADV
cana-1547	130	203	16.45	16.45	NUM
cana-1547	130	204	3.94	3.94	NUM
cana-1547	130	205	non	non	ADJ
cana-1547	130	206	-	-	ADJ
cana-1547	130	207	malignant	malignant	ADJ
cana-1547	130	208	(	(	PUNCT
cana-1547	130	209	not	not	PART
cana-1547	130	210	graded	grade	VERB
cana-1547	130	211	)	)	PUNCT
cana-1547	130	212	only	only	ADV
cana-1547	130	213	adults	adult	NOUN
cana-1547	130	214	germ	germ	NOUN
cana-1547	130	215	-	-	PUNCT
cana-1547	130	216	cell	cell	NOUN
cana-1547	130	217	tumors	tumor	NOUN
cana-1547	130	218	germ	germ	NOUN
cana-1547	130	219	-	-	PUNCT
cana-1547	130	220	celltumors	celltumor	NOUN
cana-1547	130	221	0.39	0.39	NUM
cana-1547	130	222	0.10	0.10	NUM
cana-1547	130	223	not	not	PART
cana-1547	130	224	graded	grade	VERB
cana-1547	130	225	only	only	ADV
cana-1547	130	226	children	child	NOUN
cana-1547	130	227	lymphomas	lymphoma	NOUN
cana-1547	130	228	and	and	CCONJ
cana-1547	130	229	hematopoietic	hematopoietic	ADJ
cana-1547	130	230	neoplasms	neoplasm	NOUN
cana-1547	130	231	central	central	ADJ
cana-1547	130	232	nervous	nervous	ADJ
cana-1547	130	233	system	system	NOUN
cana-1547	130	234	lymphoma	lymphoma	VERB
cana-1547	130	235	1.90	1.90	NUM
cana-1547	130	236	0.43	0.43	NUM
cana-1547	130	237	malignant	malignant	ADJ
cana-1547	130	238	older	old	ADJ
cana-1547	130	239	adults	adult	NOUN
cana-1547	130	240	only	only	ADV
cana-1547	130	241	communications	communication	NOUN
cana-1547	130	242	on	on	ADP
cana-1547	130	243	applied	apply	VERB
cana-1547	130	244	nonlinear	nonlinear	ADJ
cana-1547	130	245	analysis	analysis	NOUN
cana-1547	130	246	issn	issn	NOUN
cana-1547	130	247	:	:	PUNCT
cana-1547	130	248	1074	1074	NUM
cana-1547	130	249	-	-	PUNCT
cana-1547	130	250	133x	133x	NUM
cana-1547	130	251	vol	vol	NOUN
cana-1547	130	252	31	31	NUM
cana-1547	130	253	no	no	NOUN
cana-1547	130	254	.	.	PUNCT
cana-1547	131	1	8s	8s	PROPN
cana-1547	131	2	(	(	PUNCT
cana-1547	131	3	2024	2024	NUM
cana-1547	131	4	)	)	PUNCT
cana-1547	131	5	548	548	NUM
cana-1547	131	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1547	131	7	glial	glial	ADJ
cana-1547	131	8	tumors	tumor	NOUN
cana-1547	131	9	accountfor	accountfor	VERB
cana-1547	131	10	about	about	ADV
cana-1547	131	11	30	30	NUM
cana-1547	131	12	%	%	NOUN
cana-1547	131	13	of	of	ADP
cana-1547	131	14	all	all	DET
cana-1547	131	15	primary	primary	ADJ
cana-1547	131	16	brain	brain	NOUN
cana-1547	131	17	tumors	tumor	NOUN
cana-1547	131	18	,	,	PUNCT
cana-1547	131	19	out	out	ADP
cana-1547	131	20	of	of	ADP
cana-1547	131	21	which	which	PRON
cana-1547	131	22	80	80	NUM
cana-1547	131	23	%	%	NOUN
cana-1547	131	24	are	be	AUX
cana-1547	131	25	malignant	malignant	ADJ
cana-1547	131	26	ones.astrocytomas	ones.astrocytomas	NUM
cana-1547	131	27	are	be	AUX
cana-1547	131	28	infiltrative	infiltrative	ADJ
cana-1547	131	29	tumors	tumor	NOUN
cana-1547	131	30	of	of	ADP
cana-1547	131	31	glial	glial	ADJ
cana-1547	131	32	cell	cell	NOUN
cana-1547	131	33	origin	origin	NOUN
cana-1547	131	34	.	.	PUNCT
cana-1547	132	1	who	who	PRON
cana-1547	132	2	has	have	AUX
cana-1547	132	3	classified	classify	VERB
cana-1547	132	4	astrocytomas	astrocytoma	NOUN
cana-1547	132	5	into	into	ADP
cana-1547	132	6	four	four	NUM
cana-1547	132	7	prognostic	prognostic	ADJ
cana-1547	132	8	grades	grade	NOUN
cana-1547	132	9	based	base	VERB
cana-1547	132	10	on	on	ADP
cana-1547	132	11	histologic	histologic	ADJ
cana-1547	132	12	features	feature	NOUN
cana-1547	132	13	.	.	PUNCT
cana-1547	133	1	grade-1	grade-1	NOUN
cana-1547	133	2	:	:	PUNCT
cana-1547	133	3	pilocytic	pilocytic	ADJ
cana-1547	133	4	astrocytoma	astrocytoma	PROPN
cana-1547	133	5	&	&	CCONJ
cana-1547	133	6	subependymal	subependymal	ADJ
cana-1547	133	7	giant	giant	ADJ
cana-1547	133	8	cell	cell	NOUN
cana-1547	133	9	astrocytoma	astrocytoma	NOUN
cana-1547	133	10	.	.	PUNCT
cana-1547	134	1	grade-2	grade-2	PRON
cana-1547	134	2	:	:	PUNCT
cana-1547	134	3	diffuse	diffuse	VERB
cana-1547	134	4	astrocytoma	astrocytoma	NOUN
cana-1547	134	5	.	.	PUNCT
cana-1547	135	1	grade-3	grade-3	PRON
cana-1547	135	2	:	:	PUNCT
cana-1547	135	3	anaplastic	anaplastic	ADJ
cana-1547	135	4	astrocytoma	astrocytoma	NOUN
cana-1547	135	5	.	.	PUNCT
cana-1547	136	1	grade-4	grade-4	NOUN
cana-1547	136	2	:	:	PUNCT
cana-1547	136	3	glioblastoma	glioblastoma	NOUN
cana-1547	136	4	cerebri	cerebri	NOUN
cana-1547	136	5	.	.	PUNCT
cana-1547	137	1	grade-1	grade-1	PROPN
cana-1547	137	2	&	&	CCONJ
cana-1547	137	3	2	2	NUM
cana-1547	137	4	are	be	AUX
cana-1547	137	5	considered	consider	VERB
cana-1547	137	6	low	low	ADJ
cana-1547	137	7	grade	grade	NOUN
cana-1547	137	8	while	while	SCONJ
cana-1547	137	9	grade-3	grade-3	NUM
cana-1547	137	10	&	&	CCONJ
cana-1547	137	11	4	4	NUM
cana-1547	137	12	are	be	AUX
cana-1547	137	13	considered	consider	VERB
cana-1547	137	14	high	high	ADJ
cana-1547	137	15	grade	grade	NOUN
cana-1547	137	16	astrocytoma	astrocytoma	NOUN
cana-1547	137	17	based	base	VERB
cana-1547	137	18	on	on	ADP
cana-1547	137	19	their	their	PRON
cana-1547	137	20	malignant	malignant	ADJ
cana-1547	137	21	potential	potential	NOUN
cana-1547	137	22	,	,	PUNCT
cana-1547	137	23	mortality	mortality	NOUN
cana-1547	137	24	and	and	CCONJ
cana-1547	137	25	disease	disease	NOUN
cana-1547	137	26	-	-	PUNCT
cana-1547	137	27	free	free	ADJ
cana-1547	137	28	survival	survival	NOUN
cana-1547	137	29	.	.	PUNCT
cana-1547	138	1	oligodendroglioma	oligodendroglioma	VERB
cana-1547	138	2	:	:	PUNCT
cana-1547	138	3	it	it	PRON
cana-1547	138	4	accounts	account	VERB
cana-1547	138	5	for	for	ADP
cana-1547	138	6	approximately	approximately	ADV
cana-1547	138	7	15	15	NUM
cana-1547	138	8	-	-	SYM
cana-1547	138	9	20	20	NUM
cana-1547	138	10	%	%	NOUN
cana-1547	138	11	of	of	ADP
cana-1547	138	12	gliomas	glioma	NOUN
cana-1547	138	13	and	and	CCONJ
cana-1547	138	14	can	can	AUX
cana-1547	138	15	be	be	AUX
cana-1547	138	16	further	far	ADV
cana-1547	138	17	classified	classify	VERB
cana-1547	138	18	into	into	ADP
cana-1547	138	19	well	well	ADV
cana-1547	138	20	-	-	PUNCT
cana-1547	138	21	differentiated	differentiate	VERB
cana-1547	138	22	or	or	CCONJ
cana-1547	138	23	anaplastic	anaplastic	ADJ
cana-1547	138	24	type	type	NOUN
cana-1547	138	25	,	,	PUNCT
cana-1547	138	26	originated	originate	VERB
cana-1547	138	27	from	from	ADP
cana-1547	138	28	the	the	DET
cana-1547	138	29	cells	cell	NOUN
cana-1547	138	30	that	that	PRON
cana-1547	138	31	make	make	VERB
cana-1547	138	32	myelin	myelin	NOUN
cana-1547	138	33	,	,	PUNCT
cana-1547	138	34	the	the	DET
cana-1547	138	35	outer	outer	ADJ
cana-1547	138	36	fatty	fatty	NOUN
cana-1547	138	37	layer	layer	NOUN
cana-1547	138	38	covering	covering	NOUN
cana-1547	138	39	of	of	ADP
cana-1547	138	40	brain	brain	NOUN
cana-1547	138	41	and	and	CCONJ
cana-1547	138	42	spinal	spinal	ADJ
cana-1547	138	43	cord	cord	NOUN
cana-1547	138	44	nerves	nerve	NOUN
cana-1547	138	45	.	.	PUNCT
cana-1547	139	1	ependymoma	ependymoma	NOUN
cana-1547	139	2	:	:	PUNCT
cana-1547	139	3	they	they	PRON
cana-1547	139	4	originate	originate	VERB
cana-1547	139	5	from	from	ADP
cana-1547	139	6	ependymal	ependymal	ADJ
cana-1547	139	7	cells	cell	NOUN
cana-1547	139	8	that	that	PRON
cana-1547	139	9	line	line	VERB
cana-1547	139	10	the	the	DET
cana-1547	139	11	ventricular	ventricular	ADJ
cana-1547	139	12	surface	surface	NOUN
cana-1547	139	13	and	and	CCONJ
cana-1547	139	14	are	be	AUX
cana-1547	139	15	frequently	frequently	ADV
cana-1547	139	16	located	locate	VERB
cana-1547	139	17	in	in	ADP
cana-1547	139	18	wall	wall	NOUN
cana-1547	139	19	of	of	ADP
cana-1547	139	20	the	the	DET
cana-1547	139	21	fourth	fourth	ADJ
cana-1547	139	22	ventricle	ventricle	NOUN
cana-1547	139	23	in	in	ADP
cana-1547	139	24	the	the	DET
cana-1547	139	25	posterior	posterior	ADJ
cana-1547	139	26	fossa	fossa	NOUN
cana-1547	139	27	though	though	SCONJ
cana-1547	139	28	spinal	spinal	ADJ
cana-1547	139	29	types	type	NOUN
cana-1547	139	30	are	be	AUX
cana-1547	139	31	more	more	ADV
cana-1547	139	32	common	common	ADJ
cana-1547	139	33	.	.	PUNCT
cana-1547	140	1	meningioma	meningioma	NOUN
cana-1547	140	2	:	:	PUNCT
cana-1547	140	3	it	it	PRON
cana-1547	140	4	is	be	AUX
cana-1547	140	5	the	the	DET
cana-1547	140	6	most	most	ADV
cana-1547	140	7	common	common	ADJ
cana-1547	140	8	primary	primary	ADJ
cana-1547	140	9	brain	brain	NOUN
cana-1547	140	10	tumor	tumor	NOUN
cana-1547	140	11	and	and	CCONJ
cana-1547	140	12	is	be	AUX
cana-1547	140	13	being	be	AUX
cana-1547	140	14	diagnosed	diagnose	VERB
cana-1547	140	15	with	with	ADP
cana-1547	140	16	increasing	increase	VERB
cana-1547	140	17	frequency	frequency	NOUN
cana-1547	140	18	with	with	ADP
cana-1547	140	19	increased	increase	VERB
cana-1547	140	20	usage	usage	NOUN
cana-1547	140	21	of	of	ADP
cana-1547	140	22	neuroimaging	neuroimaging	NOUN
cana-1547	140	23	.	.	PUNCT
cana-1547	141	1	their	their	PRON
cana-1547	141	2	incidence	incidence	NOUN
cana-1547	141	3	increases	increase	VERB
cana-1547	141	4	with	with	ADP
cana-1547	141	5	age	age	NOUN
cana-1547	141	6	and	and	CCONJ
cana-1547	141	7	are	be	AUX
cana-1547	141	8	more	more	ADV
cana-1547	141	9	common	common	ADJ
cana-1547	141	10	in	in	ADP
cana-1547	141	11	women	woman	NOUN
cana-1547	141	12	and	and	CCONJ
cana-1547	141	13	those	those	PRON
cana-1547	141	14	with	with	ADP
cana-1547	141	15	past	past	ADJ
cana-1547	141	16	history	history	NOUN
cana-1547	141	17	of	of	ADP
cana-1547	141	18	cranial	cranial	ADJ
cana-1547	141	19	irradiation	irradiation	NOUN
cana-1547	141	20	.	.	PUNCT
cana-1547	142	1	they	they	PRON
cana-1547	142	2	arise	arise	VERB
cana-1547	142	3	from	from	ADP
cana-1547	142	4	duramatar	duramatar	NOUN
cana-1547	142	5	which	which	PRON
cana-1547	142	6	is	be	AUX
cana-1547	142	7	the	the	DET
cana-1547	142	8	outer	outer	ADJ
cana-1547	142	9	most	most	ADJ
cana-1547	142	10	layer	layer	NOUN
cana-1547	142	11	of	of	ADP
cana-1547	142	12	meninges	meninge	NOUN
cana-1547	142	13	.	.	PUNCT
cana-1547	143	1	not	not	PART
cana-1547	143	2	to	to	PART
cana-1547	143	3	forget	forget	VERB
cana-1547	143	4	here	here	ADV
cana-1547	143	5	is	be	AUX
cana-1547	143	6	that	that	SCONJ
cana-1547	143	7	meninges	meninge	NOUN
cana-1547	143	8	is	be	AUX
cana-1547	143	9	a	a	DET
cana-1547	143	10	three	three	NUM
cana-1547	143	11	-	-	PUNCT
cana-1547	143	12	layered	layer	VERB
cana-1547	143	13	protective	protective	ADJ
cana-1547	143	14	covering	covering	NOUN
cana-1547	143	15	of	of	ADP
cana-1547	143	16	brain	brain	NOUN
cana-1547	143	17	and	and	CCONJ
cana-1547	143	18	spinal	spinal	ADJ
cana-1547	143	19	cordmeningiomas	cordmeningioma	NOUN
cana-1547	143	20	are	be	AUX
cana-1547	143	21	slow	slow	ADJ
cana-1547	143	22	growing	grow	VERB
cana-1547	143	23	;	;	PUNCT
cana-1547	143	24	usually	usually	ADV
cana-1547	143	25	benign	benign	ADJ
cana-1547	143	26	lesions	lesion	NOUN
cana-1547	143	27	located	locate	VERB
cana-1547	143	28	over	over	ADP
cana-1547	143	29	cerebral	cerebral	ADJ
cana-1547	143	30	convexities	convexity	NOUN
cana-1547	143	31	but	but	CCONJ
cana-1547	143	32	can	can	AUX
cana-1547	143	33	occur	occur	VERB
cana-1547	143	34	at	at	ADP
cana-1547	143	35	skull	skull	NOUN
cana-1547	143	36	base	base	NOUN
cana-1547	143	37	or	or	CCONJ
cana-1547	143	38	in	in	ADP
cana-1547	143	39	spine	spine	NOUN
cana-1547	143	40	.	.	PUNCT
cana-1547	144	1	4	4	X
cana-1547	144	2	.	.	X
cana-1547	144	3	methodology	methodology	NOUN
cana-1547	144	4	a	a	DET
cana-1547	144	5	method	method	NOUN
cana-1547	144	6	of	of	ADP
cana-1547	144	7	brain	brain	NOUN
cana-1547	144	8	cancer	cancer	NOUN
cana-1547	144	9	identification	identification	NOUN
cana-1547	144	10	and	and	CCONJ
cana-1547	144	11	categorization	categorization	NOUN
cana-1547	144	12	based	base	VERB
cana-1547	144	13	on	on	ADP
cana-1547	144	14	wavelet	wavelet	PROPN
cana-1547	144	15	cnn	cnn	PROPN
cana-1547	144	16	(	(	PUNCT
cana-1547	144	17	wcnn	wcnn	NOUN
cana-1547	144	18	)	)	PUNCT
cana-1547	144	19	has	have	AUX
cana-1547	144	20	been	be	AUX
cana-1547	144	21	proposed	propose	VERB
cana-1547	144	22	in	in	ADP
cana-1547	144	23	this	this	DET
cana-1547	144	24	paper	paper	NOUN
cana-1547	144	25	.	.	PUNCT
cana-1547	145	1	the	the	DET
cana-1547	145	2	most	most	ADV
cana-1547	145	3	common	common	ADJ
cana-1547	145	4	brain	brain	NOUN
cana-1547	145	5	tumor	tumor	NOUN
cana-1547	145	6	scanning	scan	VERB
cana-1547	145	7	imaging	imaging	NOUN
cana-1547	145	8	technique	technique	NOUN
cana-1547	145	9	has	have	AUX
cana-1547	145	10	been	be	AUX
cana-1547	145	11	implemented	implement	VERB
cana-1547	145	12	on	on	ADP
cana-1547	145	13	mri	mri	NOUN
cana-1547	145	14	scans	scan	NOUN
cana-1547	145	15	.	.	PUNCT
cana-1547	146	1	figure	figure	NOUN
cana-1547	146	2	1	1	NUM
cana-1547	146	3	depicts	depict	VERB
cana-1547	146	4	a	a	DET
cana-1547	146	5	block	block	NOUN
cana-1547	146	6	drawing	draw	VERB
cana-1547	146	7	presentation	presentation	NOUN
cana-1547	146	8	of	of	ADP
cana-1547	146	9	the	the	DET
cana-1547	146	10	major	major	ADJ
cana-1547	146	11	steps	step	NOUN
cana-1547	146	12	of	of	ADP
cana-1547	146	13	the	the	DET
cana-1547	146	14	approach	approach	NOUN
cana-1547	146	15	proposed	propose	VERB
cana-1547	146	16	.	.	PUNCT
cana-1547	147	1	the	the	DET
cana-1547	147	2	proposed	propose	VERB
cana-1547	147	3	method	method	NOUN
cana-1547	147	4	is	be	AUX
cana-1547	147	5	divided	divide	VERB
cana-1547	147	6	into	into	ADP
cana-1547	147	7	two	two	NUM
cana-1547	147	8	phases	phase	NOUN
cana-1547	147	9	:	:	PUNCT
cana-1547	147	10	training	training	NOUN
cana-1547	147	11	phase	phase	NOUN
cana-1547	147	12	and	and	CCONJ
cana-1547	147	13	testing	testing	NOUN
cana-1547	147	14	phase	phase	NOUN
cana-1547	147	15	.	.	PUNCT
cana-1547	148	1	79	79	NUM
cana-1547	148	2	%	%	NOUN
cana-1547	148	3	of	of	ADP
cana-1547	148	4	the	the	DET
cana-1547	148	5	image	image	NOUN
cana-1547	148	6	dataset	dataset	NOUN
cana-1547	148	7	is	be	AUX
cana-1547	148	8	used	use	VERB
cana-1547	148	9	for	for	ADP
cana-1547	148	10	training	training	NOUN
cana-1547	148	11	while	while	SCONJ
cana-1547	148	12	the	the	DET
cana-1547	148	13	remaining	remain	VERB
cana-1547	148	14	21	21	NUM
cana-1547	148	15	%	%	NOUN
cana-1547	148	16	is	be	AUX
cana-1547	148	17	used	use	VERB
cana-1547	148	18	for	for	SCONJ
cana-1547	148	19	testing.the	testing.the	DET
cana-1547	148	20	training	training	NOUN
cana-1547	148	21	process	process	NOUN
cana-1547	148	22	starts	start	VERB
cana-1547	148	23	with	with	ADP
cana-1547	148	24	pre	pre	ADJ
cana-1547	148	25	-	-	ADJ
cana-1547	148	26	processing	processing	NOUN
cana-1547	148	27	of	of	ADP
cana-1547	148	28	the	the	DET
cana-1547	148	29	data	datum	NOUN
cana-1547	148	30	,	,	PUNCT
cana-1547	148	31	where	where	SCONJ
cana-1547	148	32	the	the	DET
cana-1547	148	33	quality	quality	NOUN
cana-1547	148	34	of	of	ADP
cana-1547	148	35	the	the	DET
cana-1547	148	36	mr	mr	PROPN
cana-1547	148	37	images	image	NOUN
cana-1547	148	38	is	be	AUX
cana-1547	148	39	improved	improve	VERB
cana-1547	148	40	by	by	ADP
cana-1547	148	41	transforming	transform	VERB
cana-1547	148	42	the	the	DET
cana-1547	148	43	image	image	NOUN
cana-1547	148	44	into	into	ADP
cana-1547	148	45	wavelets	wavelet	NOUN
cana-1547	148	46	.	.	PUNCT
cana-1547	149	1	in	in	ADP
cana-1547	149	2	the	the	DET
cana-1547	149	3	proposed	propose	VERB
cana-1547	149	4	method	method	NOUN
cana-1547	149	5	,	,	PUNCT
cana-1547	149	6	the	the	DET
cana-1547	149	7	haar	haar	NOUN
cana-1547	149	8	wavelet	wavelet	NOUN
cana-1547	149	9	is	be	AUX
cana-1547	149	10	used	use	VERB
cana-1547	149	11	for	for	ADP
cana-1547	149	12	the	the	DET
cana-1547	149	13	preprocessing	preprocessing	NOUN
cana-1547	149	14	.	.	PUNCT
cana-1547	150	1	haar	haar	PROPN
cana-1547	150	2	wavelet	wavelet	NOUN
cana-1547	150	3	transformation	transformation	NOUN
cana-1547	150	4	maximizes	maximize	VERB
cana-1547	150	5	the	the	DET
cana-1547	150	6	image	image	NOUN
cana-1547	150	7	information	information	NOUN
cana-1547	150	8	.	.	PUNCT
cana-1547	151	1	after	after	ADP
cana-1547	151	2	the	the	DET
cana-1547	151	3	preprocessing	preprocessing	NOUN
cana-1547	151	4	,	,	PUNCT
cana-1547	151	5	the	the	DET
cana-1547	151	6	features	feature	NOUN
cana-1547	151	7	of	of	ADP
cana-1547	151	8	the	the	DET
cana-1547	151	9	image	image	NOUN
cana-1547	151	10	are	be	AUX
cana-1547	151	11	extracted	extract	VERB
cana-1547	151	12	using	use	VERB
cana-1547	151	13	2d	2d	NUM
cana-1547	151	14	convolution	convolution	NOUN
cana-1547	151	15	operations	operation	NOUN
cana-1547	151	16	instead	instead	ADV
cana-1547	151	17	of	of	ADP
cana-1547	151	18	3d	3d	NUM
cana-1547	151	19	operation	operation	NOUN
cana-1547	151	20	as	as	ADP
cana-1547	151	21	the	the	DET
cana-1547	151	22	cost	cost	NOUN
cana-1547	151	23	of	of	ADP
cana-1547	151	24	computation	computation	NOUN
cana-1547	151	25	increases	increase	NOUN
cana-1547	151	26	with	with	ADP
cana-1547	151	27	the	the	DET
cana-1547	151	28	3d	3d	PROPN
cana-1547	151	29	convolution	convolution	NOUN
cana-1547	151	30	operation	operation	NOUN
cana-1547	151	31	.	.	PUNCT
cana-1547	152	1	following	follow	VERB
cana-1547	152	2	the	the	DET
cana-1547	152	3	features	feature	NOUN
cana-1547	152	4	extraction	extraction	NOUN
cana-1547	152	5	,	,	PUNCT
cana-1547	152	6	the	the	DET
cana-1547	152	7	image	image	NOUN
cana-1547	152	8	underwent	undergo	VERB
cana-1547	152	9	segmentation	segmentation	NOUN
cana-1547	152	10	to	to	PART
cana-1547	152	11	identify	identify	VERB
cana-1547	152	12	the	the	DET
cana-1547	152	13	region	region	NOUN
cana-1547	152	14	of	of	ADP
cana-1547	152	15	interest	interest	NOUN
cana-1547	152	16	.	.	PUNCT
cana-1547	153	1	and	and	CCONJ
cana-1547	153	2	finally	finally	ADV
cana-1547	153	3	,	,	PUNCT
cana-1547	153	4	the	the	DET
cana-1547	153	5	classification	classification	NOUN
cana-1547	153	6	is	be	AUX
cana-1547	153	7	done	do	VERB
cana-1547	153	8	using	use	VERB
cana-1547	153	9	cnn	cnn	PROPN
cana-1547	153	10	.	.	PUNCT
cana-1547	154	1	in	in	ADP
cana-1547	154	2	the	the	DET
cana-1547	154	3	testing	testing	NOUN
cana-1547	154	4	phase	phase	NOUN
cana-1547	154	5	,	,	PUNCT
cana-1547	154	6	same	same	ADJ
cana-1547	154	7	set	set	NOUN
cana-1547	154	8	of	of	ADP
cana-1547	154	9	procedure	procedure	NOUN
cana-1547	154	10	is	be	AUX
cana-1547	154	11	followed	follow	VERB
cana-1547	154	12	as	as	SCONJ
cana-1547	154	13	shown	show	VERB
cana-1547	154	14	in	in	ADP
cana-1547	154	15	figure	figure	NOUN
cana-1547	154	16	1	1	NUM
cana-1547	154	17	.	.	PUNCT
cana-1547	155	1	communications	communication	NOUN
cana-1547	155	2	on	on	ADP
cana-1547	155	3	applied	apply	VERB
cana-1547	155	4	nonlinear	nonlinear	ADJ
cana-1547	155	5	analysis	analysis	NOUN
cana-1547	155	6	issn	issn	NOUN
cana-1547	155	7	:	:	PUNCT
cana-1547	155	8	1074	1074	NUM
cana-1547	155	9	-	-	PUNCT
cana-1547	155	10	133x	133x	NUM
cana-1547	155	11	vol	vol	NOUN
cana-1547	155	12	31	31	NUM
cana-1547	155	13	no	no	NOUN
cana-1547	155	14	.	.	PUNCT
cana-1547	156	1	8s	8s	PROPN
cana-1547	156	2	(	(	PUNCT
cana-1547	156	3	2024	2024	NUM
cana-1547	156	4	)	)	PUNCT
cana-1547	156	5	549	549	NUM
cana-1547	156	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1547	156	7	figure	figure	NOUN
cana-1547	156	8	1	1	NUM
cana-1547	156	9	.	.	PUNCT
cana-1547	156	10	block	block	NOUN
cana-1547	156	11	diagram	diagram	NOUN
cana-1547	156	12	for	for	ADP
cana-1547	156	13	proposed	propose	VERB
cana-1547	156	14	work	work	NOUN
cana-1547	156	15	4.1	4.1	NUM
cana-1547	156	16	.	.	PUNCT
cana-1547	157	1	imagedataset	imagedataset	VERB
cana-1547	157	2	the	the	DET
cana-1547	157	3	brain	brain	NOUN
cana-1547	157	4	cancer	cancer	NOUN
cana-1547	157	5	file	file	NOUN
cana-1547	157	6	has	have	AUX
cana-1547	157	7	been	be	AUX
cana-1547	157	8	extracted	extract	VERB
cana-1547	157	9	as	as	ADP
cana-1547	157	10	part	part	NOUN
cana-1547	157	11	of	of	ADP
cana-1547	157	12	process	process	NOUN
cana-1547	157	13	shown	show	VERB
cana-1547	157	14	in	in	ADP
cana-1547	157	15	figure	figure	NOUN
cana-1547	157	16	1	1	NUM
cana-1547	157	17	,	,	PUNCT
cana-1547	157	18	at1	at1	NOUN
cana-1547	157	19	-	-	PUNCT
cana-1547	157	20	improved	improve	VERB
cana-1547	157	21	contrast	contrast	NOUN
cana-1547	157	22	images	image	NOUN
cana-1547	157	23	of	of	ADP
cana-1547	157	24	660	660	NUM
cana-1547	157	25	individuals	individual	NOUN
cana-1547	157	26	,	,	PUNCT
cana-1547	157	27	with	with	SCONJ
cana-1547	157	28	four	four	NUM
cana-1547	157	29	grades	grade	NOUN
cana-1547	157	30	of	of	ADP
cana-1547	157	31	brain	brain	NOUN
cana-1547	157	32	cancers	cancer	NOUN
cana-1547	157	33	were	be	AUX
cana-1547	157	34	found	find	VERB
cana-1547	157	35	in	in	ADP
cana-1547	157	36	this	this	DET
cana-1547	157	37	brain	brain	NOUN
cana-1547	157	38	tumor	tumor	NOUN
cana-1547	157	39	databaseseveral	databaseseveral	ADJ
cana-1547	157	40	images	image	NOUN
cana-1547	157	41	of	of	ADP
cana-1547	157	42	each	each	DET
cana-1547	157	43	grade	grade	NOUN
cana-1547	157	44	type	type	NOUN
cana-1547	157	45	were	be	AUX
cana-1547	157	46	taken	take	VERB
cana-1547	157	47	as	as	SCONJ
cana-1547	157	48	shown	show	VERB
cana-1547	157	49	in	in	ADP
cana-1547	157	50	table	table	NOUN
cana-1547	157	51	3	3	NUM
cana-1547	157	52	.	.	PUNCT
cana-1547	158	1	the	the	DET
cana-1547	158	2	different	different	ADJ
cana-1547	158	3	grades	grade	NOUN
cana-1547	158	4	of	of	ADP
cana-1547	158	5	cancer	cancer	NOUN
cana-1547	158	6	are	be	AUX
cana-1547	158	7	also	also	ADV
cana-1547	158	8	shown	show	VERB
cana-1547	158	9	in	in	ADP
cana-1547	158	10	figure	figure	NOUN
cana-1547	158	11	3	3	NUM
cana-1547	158	12	for	for	ADP
cana-1547	158	13	each	each	DET
cana-1547	158	14	database	database	NOUN
cana-1547	158	15	class	class	NOUN
cana-1547	158	16	.	.	PUNCT
cana-1547	159	1	the	the	DET
cana-1547	159	2	proposed	propose	VERB
cana-1547	159	3	method	method	NOUN
cana-1547	159	4	significantly	significantly	ADV
cana-1547	159	5	reduces	reduce	VERB
cana-1547	159	6	the	the	DET
cana-1547	159	7	occasion	occasion	NOUN
cana-1547	159	8	difficulty	difficulty	NOUN
cana-1547	159	9	of	of	ADP
cana-1547	159	10	the	the	DET
cana-1547	159	11	categorization	categorization	NOUN
cana-1547	159	12	scheme	scheme	NOUN
cana-1547	159	13	and	and	CCONJ
cana-1547	159	14	eliminates	eliminate	VERB
cana-1547	159	15	the	the	DET
cana-1547	159	16	possibility	possibility	NOUN
cana-1547	159	17	of	of	ADP
cana-1547	159	18	errors	error	NOUN
cana-1547	159	19	in	in	ADP
cana-1547	159	20	the	the	DET
cana-1547	159	21	segmentation	segmentation	NOUN
cana-1547	159	22	procedure	procedure	NOUN
cana-1547	159	23	.	.	PUNCT
cana-1547	160	1	in	in	ADP
cana-1547	160	2	the	the	DET
cana-1547	160	3	mris	mris	NOUN
cana-1547	160	4	,	,	PUNCT
cana-1547	160	5	three	three	NUM
cana-1547	160	6	anatomic	anatomic	ADJ
cana-1547	160	7	views	view	NOUN
cana-1547	160	8	which	which	PRON
cana-1547	160	9	are	be	AUX
cana-1547	160	10	axial	axial	ADJ
cana-1547	160	11	,	,	PUNCT
cana-1547	160	12	coronal	coronal	ADJ
cana-1547	160	13	and	and	CCONJ
cana-1547	160	14	sagittal	sagittal	NOUN
cana-1547	160	15	are	be	AUX
cana-1547	160	16	generated	generate	VERB
cana-1547	160	17	while	while	SCONJ
cana-1547	160	18	taking	take	VERB
cana-1547	160	19	the	the	DET
cana-1547	160	20	mri	mri	NOUN
cana-1547	160	21	scans	scan	NOUN
cana-1547	160	22	as	as	SCONJ
cana-1547	160	23	shown	show	VERB
cana-1547	160	24	in	in	ADP
cana-1547	160	25	figure	figure	NOUN
cana-1547	160	26	2	2	NUM
cana-1547	160	27	.	.	PUNCT
cana-1547	161	1	however	however	ADV
cana-1547	161	2	,	,	PUNCT
cana-1547	161	3	for	for	ADP
cana-1547	161	4	the	the	DET
cana-1547	161	5	classification	classification	NOUN
cana-1547	161	6	,	,	PUNCT
cana-1547	161	7	the	the	DET
cana-1547	161	8	axial	axial	ADJ
cana-1547	161	9	view	view	NOUN
cana-1547	161	10	is	be	AUX
cana-1547	161	11	considered	consider	VERB
cana-1547	161	12	for	for	ADP
cana-1547	161	13	all	all	DET
cana-1547	161	14	the	the	DET
cana-1547	161	15	four	four	NUM
cana-1547	161	16	different	different	ADJ
cana-1547	161	17	grades	grade	NOUN
cana-1547	161	18	of	of	ADP
cana-1547	161	19	tumor	tumor	NOUN
cana-1547	161	20	.	.	PUNCT
cana-1547	162	1	(	(	PUNCT
cana-1547	162	2	a	a	X
cana-1547	162	3	)	)	PUNCT
cana-1547	162	4	(	(	PUNCT
cana-1547	162	5	b	b	X
cana-1547	162	6	)	)	PUNCT
cana-1547	162	7	(	(	PUNCT
cana-1547	162	8	c	c	X
cana-1547	162	9	)	)	PUNCT
cana-1547	162	10	figure	figure	NOUN
cana-1547	162	11	2	2	NUM
cana-1547	162	12	:	:	PUNCT
cana-1547	162	13	(	(	PUNCT
cana-1547	162	14	a	a	X
cana-1547	162	15	)	)	PUNCT
cana-1547	162	16	sagital	sagital	ADJ
cana-1547	162	17	(	(	PUNCT
cana-1547	162	18	b	b	NOUN
cana-1547	162	19	)	)	PUNCT
cana-1547	162	20	coronal	coronal	NOUN
cana-1547	162	21	and	and	CCONJ
cana-1547	162	22	(	(	PUNCT
cana-1547	162	23	c	c	NOUN
cana-1547	162	24	)	)	PUNCT
cana-1547	162	25	axial	axial	ADJ
cana-1547	162	26	table	table	NOUN
cana-1547	162	27	2	2	NUM
cana-1547	162	28	.	.	PUNCT
cana-1547	162	29	dataset	dataset	VERB
cana-1547	162	30	label	label	NOUN
cana-1547	162	31	and	and	CCONJ
cana-1547	162	32	disease	disease	NOUN
cana-1547	162	33	sickness	sickness	NOUN
cana-1547	162	34	type	type	NOUN
cana-1547	162	35	no	no	INTJ
cana-1547	162	36	.	.	NOUN
cana-1547	162	37	of	of	ADP
cana-1547	162	38	images	image	NOUN
cana-1547	162	39	matrix	matrix	NOUN
cana-1547	162	40	size	size	NOUN
cana-1547	162	41	grade	grade	NOUN
cana-1547	162	42	1	1	NUM
cana-1547	162	43	grade	grade	NOUN
cana-1547	162	44	2	2	NUM
cana-1547	162	45	grade	grade	NOUN
cana-1547	162	46	3	3	NUM
cana-1547	162	47	grade	grade	NOUN
cana-1547	162	48	4	4	NUM
cana-1547	162	49	180	180	NUM
cana-1547	162	50	512	512	NUM
cana-1547	162	51	x	x	SYM
cana-1547	162	52	512	512	NUM
cana-1547	162	53	150	150	NUM
cana-1547	162	54	512	512	NUM
cana-1547	162	55	x	x	SYM
cana-1547	162	56	512	512	NUM
cana-1547	162	57	160	160	NUM
cana-1547	162	58	512	512	NUM
cana-1547	162	59	x	x	SYM
cana-1547	162	60	512	512	NUM
cana-1547	162	61	170	170	NUM
cana-1547	162	62	512	512	NUM
cana-1547	162	63	x	x	SYM
cana-1547	162	64	512	512	NUM
cana-1547	162	65	communications	communication	NOUN
cana-1547	162	66	on	on	ADP
cana-1547	162	67	applied	apply	VERB
cana-1547	162	68	nonlinear	nonlinear	ADJ
cana-1547	162	69	analysis	analysis	NOUN
cana-1547	162	70	issn	issn	NOUN
cana-1547	162	71	:	:	PUNCT
cana-1547	162	72	1074	1074	NUM
cana-1547	162	73	-	-	PUNCT
cana-1547	162	74	133x	133x	NUM
cana-1547	162	75	vol	vol	NOUN
cana-1547	162	76	31	31	NUM
cana-1547	162	77	no	no	NOUN
cana-1547	162	78	.	.	PUNCT
cana-1547	163	1	8s	8s	PROPN
cana-1547	163	2	(	(	PUNCT
cana-1547	163	3	2024	2024	NUM
cana-1547	163	4	)	)	PUNCT
cana-1547	163	5	550	550	NUM
cana-1547	163	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1547	163	7	(	(	PUNCT
cana-1547	163	8	a	a	NOUN
cana-1547	163	9	)	)	PUNCT
cana-1547	163	10	(	(	PUNCT
cana-1547	163	11	b	b	X
cana-1547	163	12	)	)	PUNCT
cana-1547	163	13	(	(	PUNCT
cana-1547	163	14	c	c	X
cana-1547	163	15	)	)	PUNCT
cana-1547	163	16	(	(	PUNCT
cana-1547	163	17	d	d	X
cana-1547	163	18	)	)	PUNCT
cana-1547	163	19	figure	figure	NOUN
cana-1547	163	20	3.sample	3.sample	NUM
cana-1547	163	21	images	image	NOUN
cana-1547	163	22	:	:	PUNCT
cana-1547	163	23	(	(	PUNCT
cana-1547	163	24	a	a	X
cana-1547	163	25	)	)	PUNCT
cana-1547	163	26	grade	grade	NOUN
cana-1547	163	27	1	1	NUM
cana-1547	163	28	,	,	PUNCT
cana-1547	163	29	(	(	PUNCT
cana-1547	163	30	b	b	NOUN
cana-1547	163	31	)	)	PUNCT
cana-1547	163	32	grade	grade	NOUN
cana-1547	163	33	2	2	NUM
cana-1547	163	34	(	(	PUNCT
cana-1547	163	35	c	c	NOUN
cana-1547	163	36	)	)	PUNCT
cana-1547	163	37	grade	grade	NOUN
cana-1547	163	38	3	3	NUM
cana-1547	163	39	(	(	PUNCT
cana-1547	163	40	d	d	NOUN
cana-1547	163	41	)	)	PUNCT
cana-1547	163	42	grade	grade	NOUN
cana-1547	163	43	4	4	NUM
cana-1547	163	44	4.2	4.2	NUM
cana-1547	163	45	.	.	PUNCT
cana-1547	164	1	wavelet	wavelet	NOUN
cana-1547	164	2	transform	transform	NOUN
cana-1547	164	3	figure	figure	NOUN
cana-1547	164	4	4	4	NUM
cana-1547	164	5	.	.	PUNCT
cana-1547	164	6	wavelet	wavelet	NOUN
cana-1547	164	7	putrefaction	putrefaction	NOUN
cana-1547	164	8	tree	tree	NOUN
cana-1547	164	9	.	.	PUNCT
cana-1547	165	1	the	the	DET
cana-1547	165	2	wavelet	wavelet	NOUN
cana-1547	165	3	transform	transform	NOUN
cana-1547	165	4	is	be	AUX
cana-1547	165	5	a	a	DET
cana-1547	165	6	lossless	lossless	ADJ
cana-1547	165	7	transformation	transformation	NOUN
cana-1547	165	8	.	.	PUNCT
cana-1547	166	1	the	the	DET
cana-1547	166	2	transformation	transformation	NOUN
cana-1547	166	3	of	of	ADP
cana-1547	166	4	a	a	DET
cana-1547	166	5	picture	picture	NOUN
cana-1547	166	6	provides	provide	VERB
cana-1547	166	7	a	a	DET
cana-1547	166	8	different	different	ADJ
cana-1547	166	9	type	type	NOUN
cana-1547	166	10	of	of	ADP
cana-1547	166	11	illustration	illustration	NOUN
cana-1547	166	12	.	.	PUNCT
cana-1547	167	1	fig	fig	NOUN
cana-1547	167	2	.	.	PUNCT
cana-1547	168	1	4	4	NUM
cana-1547	168	2	demonstrates	demonstrate	VERB
cana-1547	168	3	the	the	DET
cana-1547	168	4	function	function	NOUN
cana-1547	168	5	of	of	ADP
cana-1547	168	6	the	the	DET
cana-1547	168	7	transforming	transform	VERB
cana-1547	168	8	wavelet	wavelet	NOUN
cana-1547	168	9	breakdown	breakdown	NOUN
cana-1547	168	10	in	in	ADP
cana-1547	168	11	the	the	DET
cana-1547	168	12	decomposition	decomposition	NOUN
cana-1547	168	13	tree	tree	NOUN
cana-1547	168	14	wavelet	wavelet	NOUN
cana-1547	168	15	.	.	PUNCT
cana-1547	169	1	the	the	DET
cana-1547	169	2	primary	primary	ADJ
cana-1547	169	3	degree	degree	NOUN
cana-1547	169	4	of	of	ADP
cana-1547	169	5	putrefaction	putrefaction	NOUN
cana-1547	169	6	generates	generate	VERB
cana-1547	169	7	two	two	NUM
cana-1547	169	8	coefficient	coefficient	NOUN
cana-1547	169	9	vectors	vector	NOUN
cana-1547	169	10	,	,	PUNCT
cana-1547	169	11	the	the	DET
cana-1547	169	12	first	first	ADJ
cana-1547	169	13	one	one	NOUN
cana-1547	169	14	is	be	AUX
cana-1547	169	15	approximation	approximation	NOUN
cana-1547	169	16	and	and	CCONJ
cana-1547	169	17	the	the	DET
cana-1547	169	18	second	second	ADJ
cana-1547	169	19	one	one	NOUN
cana-1547	169	20	is	be	AUX
cana-1547	169	21	detail	detail	NOUN
cana-1547	169	22	coefficients	coefficient	NOUN
cana-1547	169	23	.	.	PUNCT
cana-1547	170	1	the	the	DET
cana-1547	170	2	estimate	estimate	NOUN
cana-1547	170	3	coefficients	coefficient	NOUN
cana-1547	170	4	show	show	VERB
cana-1547	170	5	the	the	DET
cana-1547	170	6	signal	signal	NOUN
cana-1547	170	7	's	's	PART
cana-1547	170	8	low	low	ADJ
cana-1547	170	9	frequency	frequency	NOUN
cana-1547	170	10	components	component	NOUN
cana-1547	170	11	,	,	PUNCT
cana-1547	170	12	and	and	CCONJ
cana-1547	170	13	the	the	DET
cana-1547	170	14	information	information	NOUN
cana-1547	170	15	coefficients	coefficient	NOUN
cana-1547	170	16	are	be	AUX
cana-1547	170	17	the	the	DET
cana-1547	170	18	high	high	ADJ
cana-1547	170	19	frequency	frequency	NOUN
cana-1547	170	20	components	component	NOUN
cana-1547	170	21	(	(	PUNCT
cana-1547	170	22	robson	robson	NOUN
cana-1547	170	23	,	,	PUNCT
cana-1547	170	24	2020	2020	NUM
cana-1547	170	25	)	)	PUNCT
cana-1547	170	26	.	.	PUNCT
cana-1547	171	1	the	the	DET
cana-1547	171	2	second	second	ADJ
cana-1547	171	3	stage	stage	NOUN
cana-1547	171	4	of	of	ADP
cana-1547	171	5	putrefaction	putrefaction	NOUN
cana-1547	171	6	approximations	approximation	NOUN
cana-1547	171	7	produces	produce	VERB
cana-1547	171	8	two	two	NUM
cana-1547	171	9	sets	set	NOUN
cana-1547	171	10	of	of	ADP
cana-1547	171	11	approximate	approximate	ADJ
cana-1547	171	12	coefficients	coefficient	NOUN
cana-1547	171	13	with	with	ADP
cana-1547	171	14	a	a	DET
cana-1547	171	15	detailed	detailed	ADJ
cana-1547	171	16	coefficient	coefficient	NOUN
cana-1547	171	17	equal	equal	ADJ
cana-1547	171	18	to	to	ADP
cana-1547	171	19	a	a	DET
cana-1547	171	20	distance	distance	NOUN
cana-1547	171	21	end	end	NOUN
cana-1547	171	22	-	-	PUNCT
cana-1547	171	23	to	to	ADP
cana-1547	171	24	-	-	PUNCT
cana-1547	171	25	end	end	NOUN
cana-1547	171	26	of	of	ADP
cana-1547	171	27	half	half	DET
cana-1547	171	28	the	the	DET
cana-1547	171	29	unique	unique	ADJ
cana-1547	171	30	approximate	approximate	ADJ
cana-1547	171	31	vector	vector	NOUN
cana-1547	171	32	length	length	NOUN
cana-1547	171	33	.	.	PUNCT
cana-1547	172	1	the	the	DET
cana-1547	172	2	putrefaction	putrefaction	NOUN
cana-1547	172	3	method	method	NOUN
cana-1547	172	4	also	also	ADV
cana-1547	172	5	divides	divide	VERB
cana-1547	172	6	the	the	DET
cana-1547	172	7	estimate	estimate	NOUN
cana-1547	172	8	coefficients	coefficient	NOUN
cana-1547	172	9	into	into	ADP
cana-1547	172	10	two	two	NUM
cana-1547	172	11	novel	novel	ADJ
cana-1547	172	12	vectors	vector	NOUN
cana-1547	172	13	for	for	ADP
cana-1547	172	14	every	every	DET
cana-1547	172	15	following	follow	VERB
cana-1547	172	16	decomposition	decomposition	NOUN
cana-1547	172	17	height	height	NOUN
cana-1547	172	18	.	.	PUNCT
cana-1547	173	1	the	the	DET
cana-1547	173	2	details	detail	NOUN
cana-1547	173	3	of	of	ADP
cana-1547	173	4	the	the	DET
cana-1547	173	5	disintegration	disintegration	NOUN
cana-1547	173	6	of	of	ADP
cana-1547	173	7	the	the	DET
cana-1547	173	8	meningioma	meningioma	NOUN
cana-1547	173	9	picture	picture	NOUN
cana-1547	173	10	obtained	obtain	VERB
cana-1547	173	11	from	from	ADP
cana-1547	173	12	the	the	DET
cana-1547	173	13	haar	haar	PROPN
cana-1547	173	14	wavelet	wavelet	NOUN
cana-1547	173	15	are	be	AUX
cana-1547	173	16	shown	show	VERB
cana-1547	173	17	in	in	ADP
cana-1547	173	18	figure	figure	NOUN
cana-1547	173	19	5	5	NUM
cana-1547	173	20	.	.	PUNCT
cana-1547	174	1	the	the	DET
cana-1547	174	2	haar	haar	PROPN
cana-1547	174	3	wavelet	wavelet	NOUN
cana-1547	174	4	which	which	PRON
cana-1547	174	5	is	be	AUX
cana-1547	174	6	also	also	ADV
cana-1547	174	7	known	know	VERB
cana-1547	174	8	as	as	ADP
cana-1547	174	9	the	the	DET
cana-1547	174	10	1	1	NUM
cana-1547	174	11	wavelet	wavelet	NOUN
cana-1547	174	12	,	,	PUNCT
cana-1547	174	13	is	be	AUX
cana-1547	174	14	the	the	DET
cana-1547	174	15	primary	primary	ADJ
cana-1547	174	16	and	and	CCONJ
cana-1547	174	17	easiest	easiest	ADJ
cana-1547	174	18	wavelet	wavelet	NOUN
cana-1547	174	19	.	.	PUNCT
cana-1547	175	1	a	a	DET
cana-1547	175	2	x1	x1	PROPN
cana-1547	175	3	x2	x2	PROPN
cana-1547	175	4	b2	b2	NOUN
cana-1547	175	5	b1	b1	NOUN
cana-1547	175	6	communications	communication	NOUN
cana-1547	175	7	on	on	ADP
cana-1547	175	8	applied	apply	VERB
cana-1547	175	9	nonlinear	nonlinear	ADJ
cana-1547	175	10	analysis	analysis	NOUN
cana-1547	175	11	issn	issn	NOUN
cana-1547	175	12	:	:	PUNCT
cana-1547	175	13	1074	1074	NUM
cana-1547	175	14	-	-	PUNCT
cana-1547	175	15	133x	133x	NUM
cana-1547	175	16	vol	vol	NOUN
cana-1547	175	17	31	31	NUM
cana-1547	175	18	no	no	NOUN
cana-1547	175	19	.	.	PUNCT
cana-1547	176	1	8s	8s	PROPN
cana-1547	176	2	(	(	PUNCT
cana-1547	176	3	2024	2024	NUM
cana-1547	176	4	)	)	PUNCT
cana-1547	176	5	551	551	NUM
cana-1547	176	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1547	176	7	figure	figure	NOUN
cana-1547	176	8	5	5	NUM
cana-1547	176	9	.	.	PUNCT
cana-1547	176	10	wavelet	wavelet	NOUN
cana-1547	176	11	disintegration	disintegration	NOUN
cana-1547	176	12	of	of	ADP
cana-1547	176	13	a	a	DET
cana-1547	176	14	meningioma	meningioma	NOUN
cana-1547	176	15	picture	picture	NOUN
cana-1547	176	16	with	with	ADP
cana-1547	176	17	the	the	DET
cana-1547	176	18	haarwavelet	haarwavelet	ADJ
cana-1547	176	19	4.3	4.3	NUM
cana-1547	176	20	convolutional	convolutional	ADJ
cana-1547	176	21	neural	neural	ADJ
cana-1547	176	22	networks	network	NOUN
cana-1547	176	23	(	(	PUNCT
cana-1547	176	24	cnn	cnn	PROPN
cana-1547	176	25	)	)	PUNCT
cana-1547	176	26	a	a	DET
cana-1547	176	27	cnn	cnn	PROPN
cana-1547	176	28	is	be	AUX
cana-1547	176	29	an	an	DET
cana-1547	176	30	artificial	artificial	ADJ
cana-1547	176	31	neural	neural	ADJ
cana-1547	176	32	network	network	NOUN
cana-1547	176	33	(	(	PUNCT
cana-1547	176	34	ann	ann	PROPN
cana-1547	176	35	)	)	PUNCT
cana-1547	176	36	of	of	ADP
cana-1547	176	37	a	a	DET
cana-1547	176	38	particular	particular	ADJ
cana-1547	176	39	kind	kind	NOUN
cana-1547	176	40	.	.	PUNCT
cana-1547	177	1	in	in	ADP
cana-1547	177	2	pattern	pattern	NOUN
cana-1547	177	3	recognition	recognition	NOUN
cana-1547	177	4	applications	application	NOUN
cana-1547	177	5	,	,	PUNCT
cana-1547	177	6	the	the	DET
cana-1547	177	7	original	original	ADJ
cana-1547	177	8	anns	ann	NOUN
cana-1547	177	9	,	,	PUNCT
cana-1547	177	10	including	include	VERB
cana-1547	177	11	multilayer	multilayer	ADJ
cana-1547	177	12	perceptions	perception	NOUN
cana-1547	177	13	(	(	PUNCT
cana-1547	177	14	mlp	mlp	NOUN
cana-1547	177	15	)	)	PUNCT
cana-1547	177	16	,	,	PUNCT
cana-1547	177	17	were	be	AUX
cana-1547	177	18	extremely	extremely	ADV
cana-1547	177	19	successful	successful	ADJ
cana-1547	177	20	.	.	PUNCT
cana-1547	178	1	anns	anns	PROPN
cana-1547	178	2	have	have	AUX
cana-1547	178	3	influenced	influence	VERB
cana-1547	178	4	the	the	DET
cana-1547	178	5	formation	formation	NOUN
cana-1547	178	6	of	of	ADP
cana-1547	178	7	cnn	cnn	PROPN
cana-1547	178	8	,	,	PUNCT
cana-1547	178	9	which	which	PRON
cana-1547	178	10	is	be	AUX
cana-1547	178	11	a	a	DET
cana-1547	178	12	type	type	NOUN
cana-1547	178	13	of	of	ADP
cana-1547	178	14	deep	deep	ADJ
cana-1547	178	15	learning	learning	NOUN
cana-1547	178	16	algorithm	algorithm	NOUN
cana-1547	178	17	(	(	PUNCT
cana-1547	178	18	dla	dla	NOUN
cana-1547	178	19	)	)	PUNCT
cana-1547	178	20	.	.	PUNCT
cana-1547	179	1	deep	deep	ADJ
cana-1547	179	2	learning	learning	NOUN
cana-1547	179	3	is	be	AUX
cana-1547	179	4	a	a	DET
cana-1547	179	5	machine	machine	NOUN
cana-1547	179	6	-	-	PUNCT
cana-1547	179	7	learning	learn	VERB
cana-1547	179	8	branch	branch	NOUN
cana-1547	179	9	that	that	PRON
cana-1547	179	10	uses	use	VERB
cana-1547	179	11	deep	deep	ADJ
cana-1547	179	12	neural	neural	ADJ
cana-1547	179	13	networks	network	NOUN
cana-1547	179	14	with	with	ADP
cana-1547	179	15	various	various	ADJ
cana-1547	179	16	layers	layer	NOUN
cana-1547	179	17	.	.	PUNCT
cana-1547	180	1	cnn	cnn	PROPN
cana-1547	180	2	may	may	AUX
cana-1547	180	3	be	be	AUX
cana-1547	180	4	called	call	VERB
cana-1547	180	5	an	an	DET
cana-1547	180	6	ann	ann	PROPN
cana-1547	180	7	,	,	PUNCT
cana-1547	180	8	in	in	ADP
cana-1547	180	9	which	which	PRON
cana-1547	180	10	at	at	ADP
cana-1547	180	11	least	least	ADV
cana-1547	180	12	one	one	NUM
cana-1547	180	13	layer	layer	NOUN
cana-1547	180	14	is	be	AUX
cana-1547	180	15	convoluted	convolute	VERB
cana-1547	180	16	before	before	SCONJ
cana-1547	180	17	its	its	PRON
cana-1547	180	18	output	output	NOUN
cana-1547	180	19	is	be	AUX
cana-1547	180	20	moved	move	VERB
cana-1547	180	21	to	to	ADP
cana-1547	180	22	the	the	DET
cana-1547	180	23	next	next	ADJ
cana-1547	180	24	layer	layer	NOUN
cana-1547	180	25	.	.	PUNCT
cana-1547	181	1	in	in	ADP
cana-1547	181	2	standard	standard	ADJ
cana-1547	181	3	convolution	convolution	NOUN
cana-1547	181	4	operations	operation	NOUN
cana-1547	181	5	,	,	PUNCT
cana-1547	181	6	the	the	DET
cana-1547	181	7	medium	medium	ADJ
cana-1547	181	8	and	and	CCONJ
cana-1547	181	9	maximum	maximum	ADJ
cana-1547	181	10	functions	function	NOUN
cana-1547	181	11	are	be	AUX
cana-1547	181	12	used	use	VERB
cana-1547	181	13	,	,	PUNCT
cana-1547	181	14	but	but	CCONJ
cana-1547	181	15	other	other	ADJ
cana-1547	181	16	functions	function	NOUN
cana-1547	181	17	can	can	AUX
cana-1547	181	18	be	be	AUX
cana-1547	181	19	used	use	VERB
cana-1547	181	20	as	as	ADV
cana-1547	181	21	well	well	ADV
cana-1547	181	22	.	.	PUNCT
cana-1547	182	1	in	in	ADP
cana-1547	182	2	the	the	DET
cana-1547	182	3	fields	field	NOUN
cana-1547	182	4	of	of	ADP
cana-1547	182	5	picture	picture	NOUN
cana-1547	182	6	rating	rating	NOUN
cana-1547	182	7	and	and	CCONJ
cana-1547	182	8	computer	computer	NOUN
cana-1547	182	9	vision	vision	NOUN
cana-1547	182	10	,	,	PUNCT
cana-1547	182	11	cnns	cnn	NOUN
cana-1547	182	12	represent	represent	VERB
cana-1547	182	13	a	a	DET
cana-1547	182	14	quantum	quantum	ADJ
cana-1547	182	15	spring	spring	NOUN
cana-1547	182	16	(	(	PUNCT
cana-1547	182	17	buragga	buragga	NOUN
cana-1547	182	18	,	,	PUNCT
cana-1547	182	19	2019	2019	NUM
cana-1547	182	20	)	)	PUNCT
cana-1547	182	21	.	.	PUNCT
cana-1547	183	1	the	the	DET
cana-1547	183	2	alex	alex	PROPN
cana-1547	183	3	net	net	PROPN
cana-1547	183	4	is	be	AUX
cana-1547	183	5	a	a	DET
cana-1547	183	6	popular	popular	ADJ
cana-1547	183	7	cnn	cnn	NOUN
cana-1547	183	8	design	design	NOUN
cana-1547	183	9	with	with	ADP
cana-1547	183	10	superior	superior	ADJ
cana-1547	183	11	overall	overall	ADJ
cana-1547	183	12	image	image	NOUN
cana-1547	183	13	recognition	recognition	NOUN
cana-1547	183	14	quality	quality	NOUN
cana-1547	183	15	.	.	PUNCT
cana-1547	184	1	for	for	ADP
cana-1547	184	2	the	the	DET
cana-1547	184	3	basic	basic	ADJ
cana-1547	184	4	structure	structure	NOUN
cana-1547	184	5	of	of	ADP
cana-1547	184	6	a	a	DET
cana-1547	184	7	cnn	cnn	NOUN
cana-1547	184	8	,	,	PUNCT
cana-1547	184	9	there	there	PRON
cana-1547	184	10	are	be	VERB
cana-1547	184	11	three	three	NUM
cana-1547	184	12	main	main	ADJ
cana-1547	184	13	components	component	NOUN
cana-1547	184	14	:	:	PUNCT
cana-1547	184	15	layering	layering	NOUN
cana-1547	184	16	,	,	PUNCT
cana-1547	184	17	pooling	pooling	NOUN
cana-1547	184	18	,	,	PUNCT
cana-1547	184	19	and	and	CCONJ
cana-1547	184	20	production	production	NOUN
cana-1547	184	21	cover	cover	NOUN
cana-1547	184	22	are	be	AUX
cana-1547	184	23	all	all	PRON
cana-1547	184	24	viable	viable	ADJ
cana-1547	184	25	options	option	NOUN
cana-1547	184	26	.	.	PUNCT
cana-1547	185	1	the	the	DET
cana-1547	185	2	convolution	convolution	NOUN
cana-1547	185	3	layer	layer	NOUN
cana-1547	185	4	scans	scan	VERB
cana-1547	185	5	the	the	DET
cana-1547	185	6	entire	entire	ADJ
cana-1547	185	7	picture	picture	NOUN
cana-1547	185	8	through	through	ADP
cana-1547	185	9	a	a	DET
cana-1547	185	10	touching	touching	ADJ
cana-1547	185	11	casement	casement	NOUN
cana-1547	185	12	move	move	NOUN
cana-1547	185	13	toward	toward	ADP
cana-1547	185	14	making	make	VERB
cana-1547	185	15	a	a	DET
cana-1547	185	16	function	function	NOUN
cana-1547	185	17	map	map	NOUN
cana-1547	185	18	.	.	PUNCT
cana-1547	186	1	the	the	DET
cana-1547	186	2	grouping	group	VERB
cana-1547	186	3	layer	layer	NOUN
cana-1547	186	4	displays	display	VERB
cana-1547	186	5	the	the	DET
cana-1547	186	6	convolution	convolution	NOUN
cana-1547	186	7	layer	layer	NOUN
cana-1547	186	8	output	output	NOUN
cana-1547	186	9	,	,	PUNCT
cana-1547	186	10	which	which	PRON
cana-1547	186	11	reduces	reduce	VERB
cana-1547	186	12	the	the	DET
cana-1547	186	13	amount	amount	NOUN
cana-1547	186	14	of	of	ADP
cana-1547	186	15	data	datum	NOUN
cana-1547	186	16	to	to	PART
cana-1547	186	17	be	be	AUX
cana-1547	186	18	remembered	remember	VERB
cana-1547	186	19	(	(	PUNCT
cana-1547	186	20	gurbina	gurbina	NOUN
cana-1547	186	21	,	,	PUNCT
cana-1547	186	22	2019	2019	NUM
cana-1547	186	23	)	)	PUNCT
cana-1547	186	24	.	.	PUNCT
cana-1547	187	1	often	often	ADV
cana-1547	187	2	,	,	PUNCT
cana-1547	187	3	repeated	repeat	VERB
cana-1547	187	4	use	use	NOUN
cana-1547	187	5	is	be	AUX
cana-1547	187	6	made	make	VERB
cana-1547	187	7	of	of	ADP
cana-1547	187	8	convolution	convolution	NOUN
cana-1547	187	9	and	and	CCONJ
cana-1547	187	10	bonding	bonding	NOUN
cana-1547	187	11	layers	layer	NOUN
cana-1547	187	12	.	.	PUNCT
cana-1547	188	1	a	a	DET
cana-1547	188	2	fully	fully	ADV
cana-1547	188	3	linked	link	VERB
cana-1547	188	4	input	input	NOUN
cana-1547	188	5	layer	layer	NOUN
cana-1547	188	6	transforms	transform	VERB
cana-1547	188	7	previous	previous	ADJ
cana-1547	188	8	layers	layer	NOUN
cana-1547	188	9	of	of	ADP
cana-1547	188	10	input	input	NOUN
cana-1547	188	11	into	into	ADP
cana-1547	188	12	a	a	DET
cana-1547	188	13	single	single	ADJ
cana-1547	188	14	vector	vector	NOUN
cana-1547	188	15	for	for	ADP
cana-1547	188	16	the	the	DET
cana-1547	188	17	next	next	ADJ
cana-1547	188	18	layer	layer	NOUN
cana-1547	188	19	.	.	PUNCT
cana-1547	189	1	a	a	DET
cana-1547	189	2	slanted	slanted	ADJ
cana-1547	189	3	figure	figure	NOUN
cana-1547	189	4	of	of	ADP
cana-1547	189	5	the	the	DET
cana-1547	189	6	input	input	NOUN
cana-1547	189	7	generated	generate	VERB
cana-1547	189	8	through	through	ADP
cana-1547	189	9	the	the	DET
cana-1547	189	10	psychiatry	psychiatry	NOUN
cana-1547	189	11	is	be	AUX
cana-1547	189	12	produced	produce	VERB
cana-1547	189	13	in	in	ADP
cana-1547	189	14	order	order	NOUN
cana-1547	189	15	to	to	PART
cana-1547	189	16	predict	predict	VERB
cana-1547	189	17	an	an	DET
cana-1547	189	18	output	output	NOUN
cana-1547	189	19	mark	mark	NOUN
cana-1547	189	20	.	.	PUNCT
cana-1547	190	1	the	the	DET
cana-1547	190	2	complete	complete	PROPN
cana-1547	190	3	link	link	NOUN
cana-1547	190	4	delay	delay	NOUN
cana-1547	190	5	specifies	specify	VERB
cana-1547	190	6	the	the	DET
cana-1547	190	7	output	output	NOUN
cana-1547	190	8	class	class	NOUN
cana-1547	190	9	.	.	PUNCT
cana-1547	191	1	figure	figure	NOUN
cana-1547	191	2	6	6	NUM
cana-1547	191	3	illustrates	illustrate	VERB
cana-1547	191	4	a	a	DET
cana-1547	191	5	typical	typical	ADJ
cana-1547	191	6	cnn	cnn	NOUN
cana-1547	191	7	architecture	architecture	NOUN
cana-1547	191	8	.	.	PUNCT
cana-1547	192	1	the	the	DET
cana-1547	192	2	input	input	NOUN
cana-1547	192	3	for	for	ADP
cana-1547	192	4	a	a	DET
cana-1547	192	5	cnn	cnn	PROPN
cana-1547	192	6	is	be	AUX
cana-1547	192	7	usually	usually	ADV
cana-1547	192	8	a	a	DET
cana-1547	192	9	picture	picture	NOUN
cana-1547	192	10	m	m	VERB
cana-1547	192	11	x	x	NOUN
cana-1547	192	12	m	m	VERB
cana-1547	192	13	x	x	SYM
cana-1547	192	14	r	r	NOUN
cana-1547	192	15	,	,	PUNCT
cana-1547	192	16	with	with	ADP
cana-1547	192	17	the	the	DET
cana-1547	192	18	channel	channel	NOUN
cana-1547	192	19	number	number	NOUN
cana-1547	192	20	r	r	NOUN
cana-1547	192	21	=	=	SYM
cana-1547	192	22	1	1	NUM
cana-1547	192	23	intended	intend	VERB
cana-1547	192	24	for	for	ADP
cana-1547	192	25	older	old	ADJ
cana-1547	192	26	pictures	picture	NOUN
cana-1547	192	27	and	and	CCONJ
cana-1547	192	28	the	the	DET
cana-1547	192	29	image	image	NOUN
cana-1547	192	30	r	r	NOUN
cana-1547	192	31	=	=	SYM
cana-1547	192	32	2	2	NUM
cana-1547	192	33	meant	mean	VERB
cana-1547	192	34	for	for	ADP
cana-1547	192	35	rgb	rgb	PROPN
cana-1547	192	36	pictures	picture	NOUN
cana-1547	192	37	,	,	PUNCT
cana-1547	192	38	according	accord	VERB
cana-1547	192	39	to	to	PART
cana-1547	192	40	figure	figure	VERB
cana-1547	192	41	6	6	NUM
cana-1547	192	42	.	.	PUNCT
cana-1547	193	1	cnn	cnn	PROPN
cana-1547	193	2	usually	usually	ADV
cana-1547	193	3	has	have	VERB
cana-1547	193	4	the	the	DET
cana-1547	193	5	ability	ability	NOUN
cana-1547	193	6	,	,	PUNCT
cana-1547	193	7	as	as	ADP
cana-1547	193	8	direct	direct	ADJ
cana-1547	193	9	input	input	NOUN
cana-1547	193	10	,	,	PUNCT
cana-1547	193	11	to	to	PART
cana-1547	193	12	classify	classify	VERB
cana-1547	193	13	images	image	NOUN
cana-1547	193	14	using	use	VERB
cana-1547	193	15	raw	raw	ADJ
cana-1547	193	16	images	image	NOUN
cana-1547	193	17	.	.	PUNCT
cana-1547	194	1	however	however	ADV
cana-1547	194	2	,	,	PUNCT
cana-1547	194	3	in	in	ADP
cana-1547	194	4	the	the	DET
cana-1547	194	5	proposed	propose	VERB
cana-1547	194	6	wcnn	wcnn	ADJ
cana-1547	194	7	method	method	NOUN
cana-1547	194	8	,	,	PUNCT
cana-1547	194	9	the	the	DET
cana-1547	194	10	implementation	implementation	NOUN
cana-1547	194	11	of	of	ADP
cana-1547	194	12	the	the	DET
cana-1547	194	13	cnn	cnn	PROPN
cana-1547	194	14	uses	use	VERB
cana-1547	194	15	wavelet	wavelet	NOUN
cana-1547	194	16	decomposition	decomposition	NOUN
cana-1547	194	17	as	as	ADP
cana-1547	194	18	cnn	cnn	PROPN
cana-1547	194	19	input	input	NOUN
cana-1547	194	20	.	.	PUNCT
cana-1547	195	1	this	this	DET
cana-1547	195	2	approach	approach	NOUN
cana-1547	195	3	reduces	reduce	VERB
cana-1547	195	4	the	the	DET
cana-1547	195	5	number	number	NOUN
cana-1547	195	6	of	of	ADP
cana-1547	195	7	skills	skill	NOUN
cana-1547	195	8	considerably	considerably	ADV
cana-1547	195	9	,	,	PUNCT
cana-1547	195	10	thus	thus	ADV
cana-1547	195	11	making	make	VERB
cana-1547	195	12	the	the	DET
cana-1547	195	13	cnn	cnn	NOUN
cana-1547	195	14	learning	learn	VERB
cana-1547	195	15	task	task	NOUN
cana-1547	195	16	easier	easy	ADJ
cana-1547	195	17	.	.	PUNCT
cana-1547	196	1	the	the	DET
cana-1547	196	2	input	input	NOUN
cana-1547	196	3	level	level	NOUN
cana-1547	196	4	,	,	PUNCT
cana-1547	196	5	convolution	convolution	NOUN
cana-1547	196	6	layer	layer	NOUN
cana-1547	196	7	,	,	PUNCT
cana-1547	196	8	completely	completely	ADV
cana-1547	196	9	connected	connected	ADJ
cana-1547	196	10	layer	layer	NOUN
cana-1547	196	11	,	,	PUNCT
cana-1547	196	12	max	max	PROPN
cana-1547	196	13	pooling	pooling	NOUN
cana-1547	196	14	layer	layer	NOUN
cana-1547	196	15	,	,	PUNCT
cana-1547	196	16	and	and	CCONJ
cana-1547	196	17	output	output	NOUN
cana-1547	196	18	layer	layer	NOUN
cana-1547	196	19	are	be	AUX
cana-1547	196	20	five	five	NUM
cana-1547	196	21	layers	layer	NOUN
cana-1547	196	22	of	of	ADP
cana-1547	196	23	the	the	DET
cana-1547	196	24	proposed	propose	VERB
cana-1547	196	25	cnn	cnn	PROPN
cana-1547	196	26	classification	classification	NOUN
cana-1547	196	27	.	.	PUNCT
cana-1547	197	1	we	we	PRON
cana-1547	197	2	specific	specific	ADJ
cana-1547	197	3	size	size	NOUN
cana-1547	197	4	of	of	ADP
cana-1547	197	5	512	512	NUM
cana-1547	197	6	x	x	SYM
cana-1547	197	7	512	512	NUM
cana-1547	197	8	,	,	PUNCT
cana-1547	197	9	which	which	PRON
cana-1547	197	10	corresponds	correspond	VERB
cana-1547	197	11	to	to	ADP
cana-1547	197	12	the	the	DET
cana-1547	197	13	approximate	approximate	ADJ
cana-1547	197	14	matrix	matrix	NOUN
cana-1547	197	15	size	size	NOUN
cana-1547	197	16	.	.	PUNCT
cana-1547	198	1	there	there	PRON
cana-1547	198	2	were	be	VERB
cana-1547	198	3	3	3	NUM
cana-1547	198	4	neurons	neuron	NOUN
cana-1547	198	5	inside	inside	ADP
cana-1547	198	6	the	the	DET
cana-1547	198	7	output	output	NOUN
cana-1547	198	8	layer	layer	NOUN
cana-1547	198	9	corresponding	correspond	VERB
cana-1547	198	10	to	to	ADP
cana-1547	198	11	the	the	DET
cana-1547	198	12	class	class	NOUN
cana-1547	198	13	number	number	NOUN
cana-1547	198	14	.	.	PUNCT
cana-1547	199	1	next	next	ADV
cana-1547	199	2	,	,	PUNCT
cana-1547	199	3	the	the	DET
cana-1547	199	4	routine	routine	NOUN
cana-1547	199	5	of	of	ADP
cana-1547	199	6	the	the	DET
cana-1547	199	7	wcnn	wcnn	ADJ
cana-1547	199	8	classification	classification	NOUN
cana-1547	199	9	of	of	ADP
cana-1547	199	10	mri	mri	NOUN
cana-1547	199	11	images	image	NOUN
cana-1547	199	12	is	be	AUX
cana-1547	199	13	compared	compare	VERB
cana-1547	199	14	to	to	ADP
cana-1547	199	15	the	the	DET
cana-1547	199	16	performance	performance	NOUN
cana-1547	199	17	of	of	ADP
cana-1547	199	18	an	an	DET
cana-1547	199	19	svm	svm	ADJ
cana-1547	199	20	system	system	NOUN
cana-1547	199	21	.	.	PUNCT
cana-1547	200	1	communications	communication	NOUN
cana-1547	200	2	on	on	ADP
cana-1547	200	3	applied	apply	VERB
cana-1547	200	4	nonlinear	nonlinear	ADJ
cana-1547	200	5	analysis	analysis	NOUN
cana-1547	200	6	issn	issn	NOUN
cana-1547	200	7	:	:	PUNCT
cana-1547	200	8	1074	1074	NUM
cana-1547	200	9	-	-	PUNCT
cana-1547	200	10	133x	133x	NUM
cana-1547	200	11	vol	vol	NOUN
cana-1547	200	12	31	31	NUM
cana-1547	200	13	no	no	NOUN
cana-1547	200	14	.	.	PUNCT
cana-1547	201	1	8s	8s	PROPN
cana-1547	201	2	(	(	PUNCT
cana-1547	201	3	2024	2024	NUM
cana-1547	201	4	)	)	PUNCT
cana-1547	201	5	552	552	NUM
cana-1547	201	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1547	201	7	figure	figure	NOUN
cana-1547	201	8	6	6	NUM
cana-1547	201	9	.	.	PUNCT
cana-1547	202	1	structure	structure	NOUN
cana-1547	202	2	of	of	ADP
cana-1547	202	3	a	a	DET
cana-1547	202	4	5	5	NUM
cana-1547	202	5	-	-	PUNCT
cana-1547	202	6	layer	layer	NOUN
cana-1547	202	7	convolution	convolution	NOUN
cana-1547	202	8	neural	neural	ADJ
cana-1547	202	9	network	network	NOUN
cana-1547	202	10	5	5	NUM
cana-1547	202	11	.	.	PUNCT
cana-1547	203	1	experimental	experimental	ADJ
cana-1547	203	2	results	result	NOUN
cana-1547	203	3	analysis	analysis	NOUN
cana-1547	203	4	as	as	SCONJ
cana-1547	203	5	shown	show	VERB
cana-1547	203	6	in	in	ADP
cana-1547	203	7	table	table	NOUN
cana-1547	203	8	3	3	NUM
cana-1547	203	9	,	,	PUNCT
cana-1547	203	10	multiple	multiple	ADJ
cana-1547	203	11	online	online	ADJ
cana-1547	203	12	datasets	dataset	NOUN
cana-1547	203	13	are	be	AUX
cana-1547	203	14	available	available	ADJ
cana-1547	203	15	for	for	ADP
cana-1547	203	16	mris	mris	NOUN
cana-1547	203	17	.	.	PUNCT
cana-1547	204	1	researchers	researcher	NOUN
cana-1547	204	2	from	from	ADP
cana-1547	204	3	multiple	multiple	ADJ
cana-1547	204	4	regions	region	NOUN
cana-1547	204	5	are	be	AUX
cana-1547	204	6	using	use	VERB
cana-1547	204	7	these	these	DET
cana-1547	204	8	mri	mri	NOUN
cana-1547	204	9	images	image	NOUN
cana-1547	204	10	dataset	dataset	VERB
cana-1547	204	11	for	for	ADP
cana-1547	204	12	their	their	PRON
cana-1547	204	13	research	research	NOUN
cana-1547	204	14	work	work	NOUN
cana-1547	204	15	.	.	PUNCT
cana-1547	205	1	the	the	DET
cana-1547	205	2	tissues	tissue	NOUN
cana-1547	205	3	in	in	ADP
cana-1547	205	4	the	the	DET
cana-1547	205	5	mris	mris	PROPN
cana-1547	205	6	are	be	AUX
cana-1547	205	7	analyzed	analyze	VERB
cana-1547	205	8	using	use	VERB
cana-1547	205	9	standard	standard	ADJ
cana-1547	205	10	tumor	tumor	NOUN
cana-1547	205	11	cancer	cancer	NOUN
cana-1547	205	12	detection	detection	NOUN
cana-1547	205	13	techniques	technique	NOUN
cana-1547	205	14	to	to	PART
cana-1547	205	15	determine	determine	VERB
cana-1547	205	16	the	the	DET
cana-1547	205	17	tumor	tumor	NOUN
cana-1547	205	18	type	type	NOUN
cana-1547	205	19	(	(	PUNCT
cana-1547	205	20	maulik	maulik	NOUN
cana-1547	205	21	,	,	PUNCT
cana-1547	205	22	2014	2014	NUM
cana-1547	205	23	)	)	PUNCT
cana-1547	205	24	.	.	PUNCT
cana-1547	206	1	however	however	ADV
cana-1547	206	2	,	,	PUNCT
cana-1547	206	3	many	many	ADJ
cana-1547	206	4	tumors	tumor	NOUN
cana-1547	206	5	do	do	AUX
cana-1547	206	6	not	not	PART
cana-1547	206	7	have	have	VERB
cana-1547	206	8	any	any	DET
cana-1547	206	9	variation	variation	NOUN
cana-1547	206	10	in	in	ADP
cana-1547	206	11	their	their	PRON
cana-1547	206	12	shapes	shape	NOUN
cana-1547	206	13	.	.	PUNCT
cana-1547	207	1	so	so	ADV
cana-1547	207	2	,	,	PUNCT
cana-1547	207	3	the	the	DET
cana-1547	207	4	shape	shape	NOUN
cana-1547	207	5	of	of	ADP
cana-1547	207	6	the	the	DET
cana-1547	207	7	tumor	tumor	NOUN
cana-1547	207	8	can	can	AUX
cana-1547	207	9	not	not	PART
cana-1547	207	10	be	be	AUX
cana-1547	207	11	used	use	VERB
cana-1547	207	12	to	to	PART
cana-1547	207	13	differentiate	differentiate	VERB
cana-1547	207	14	the	the	DET
cana-1547	207	15	type	type	NOUN
cana-1547	207	16	of	of	ADP
cana-1547	207	17	tumor	tumor	NOUN
cana-1547	207	18	and	and	CCONJ
cana-1547	207	19	the	the	DET
cana-1547	207	20	intensity	intensity	NOUN
cana-1547	207	21	of	of	ADP
cana-1547	207	22	its	its	PRON
cana-1547	207	23	fatality	fatality	NOUN
cana-1547	207	24	.	.	PUNCT
cana-1547	208	1	thus	thus	ADV
cana-1547	208	2	,	,	PUNCT
cana-1547	208	3	an	an	DET
cana-1547	208	4	experiment	experiment	NOUN
cana-1547	208	5	may	may	AUX
cana-1547	208	6	lead	lead	VERB
cana-1547	208	7	to	to	ADP
cana-1547	208	8	a	a	DET
cana-1547	208	9	false	false	ADJ
cana-1547	208	10	diagnosis	diagnosis	NOUN
cana-1547	208	11	in	in	ADP
cana-1547	208	12	comparison	comparison	NOUN
cana-1547	208	13	to	to	ADP
cana-1547	208	14	histopathological	histopathological	ADJ
cana-1547	208	15	(	(	PUNCT
cana-1547	208	16	the	the	DET
cana-1547	208	17	diagnosis	diagnosis	NOUN
cana-1547	208	18	and	and	CCONJ
cana-1547	208	19	study	study	NOUN
cana-1547	208	20	of	of	ADP
cana-1547	208	21	tissue	tissue	NOUN
cana-1547	208	22	disease	disease	NOUN
cana-1547	208	23	)	)	PUNCT
cana-1547	208	24	and	and	CCONJ
cana-1547	208	25	clinical	clinical	ADJ
cana-1547	208	26	knowledge	knowledge	NOUN
cana-1547	208	27	.	.	PUNCT
cana-1547	209	1	therefore	therefore	ADV
cana-1547	209	2	,	,	PUNCT
cana-1547	209	3	automatic	automatic	ADJ
cana-1547	209	4	methods	method	NOUN
cana-1547	209	5	for	for	ADP
cana-1547	209	6	detecting	detect	VERB
cana-1547	209	7	and	and	CCONJ
cana-1547	209	8	diagnosing	diagnose	VERB
cana-1547	209	9	brain	brain	NOUN
cana-1547	209	10	tumors	tumor	NOUN
cana-1547	209	11	are	be	AUX
cana-1547	209	12	highly	highly	ADV
cana-1547	209	13	required	require	VERB
cana-1547	209	14	.	.	PUNCT
cana-1547	210	1	database	database	NOUN
cana-1547	210	2	location	location	NOUN
cana-1547	210	3	1	1	NUM
cana-1547	210	4	medical	medical	ADJ
cana-1547	210	5	images	image	NOUN
cana-1547	210	6	of	of	ADP
cana-1547	210	7	brainix	brainix	NOUN
cana-1547	210	8	https://www.medicalimage.com/searchs/brain.html	https://www.medicalimage.com/searchs/brain.html	ADV
cana-1547	210	9	2	2	NUM
cana-1547	210	10	figshare	figshare	NOUN
cana-1547	210	11	https://wiki.cancerimagingarchives.net/display/publics/tc	https://wiki.cancerimagingarchives.net/display/publics/tc	PROPN
cana-1547	210	12	galg	galg	NOUN
cana-1547	210	13	3	3	NUM
cana-1547	210	14	harvard	harvard	PROPN
cana-1547	210	15	school	school	NOUN
cana-1547	210	16	of	of	ADP
cana-1547	210	17	medicine	medicine	NOUN
cana-1547	210	18	(	(	PUNCT
cana-1547	210	19	http://med.harvard.edu/aanlib/	http://med.harvard.edu/aanlib/	X
cana-1547	210	20	4	4	NUM
cana-1547	210	21	moffitt	moffitt	NOUN
cana-1547	210	22	center	center	NOUN
cana-1547	210	23	for	for	ADP
cana-1547	210	24	cancer	cancer	NOUN
cana-1547	210	25	research	research	NOUN
cana-1547	210	26	https://moffitt.org/	https://moffitt.org/	ADV
cana-1547	210	27	5	5	NUM
cana-1547	210	28	brats2012,2013,2014,2016,2018,2	brats2012,2013,2014,2016,2018,2	NOUN
cana-1547	210	29	020	020	NUM
cana-1547	210	30	https://ipp.cbica.upenn.edu/	https://ipp.cbica.upenn.edu/	ADJ
cana-1547	210	31	table	table	NOUN
cana-1547	210	32	3.mri	3.mri	PRON
cana-1547	210	33	brain	brain	NOUN
cana-1547	210	34	databases	database	NOUN
cana-1547	210	35	.	.	PUNCT
cana-1547	211	1	figure	figure	VERB
cana-1547	211	2	7	7	NUM
cana-1547	211	3	depicts	depict	NOUN
cana-1547	211	4	the	the	DET
cana-1547	211	5	suggested	suggest	VERB
cana-1547	211	6	method	method	NOUN
cana-1547	211	7	's	's	PART
cana-1547	211	8	failure	failure	NOUN
cana-1547	211	9	traces	trace	NOUN
cana-1547	211	10	and	and	CCONJ
cana-1547	211	11	precision	precision	NOUN
cana-1547	211	12	.	.	PUNCT
cana-1547	212	1	the	the	DET
cana-1547	212	2	wcnn	wcnn	PROPN
cana-1547	212	3	approach	approach	NOUN
cana-1547	212	4	proposed	propose	VERB
cana-1547	212	5	for	for	ADP
cana-1547	212	6	this	this	DET
cana-1547	212	7	experiment	experiment	NOUN
cana-1547	212	8	has	have	VERB
cana-1547	212	9	a	a	DET
cana-1547	212	10	maximum	maximum	ADJ
cana-1547	212	11	success	success	NOUN
cana-1547	212	12	rate	rate	NOUN
cana-1547	212	13	as	as	SCONJ
cana-1547	212	14	shown	show	VERB
cana-1547	212	15	in	in	ADP
cana-1547	212	16	table	table	NOUN
cana-1547	212	17	5	5	NUM
cana-1547	212	18	.	.	PUNCT
cana-1547	212	19	figure	figure	VERB
cana-1547	212	20	7	7	NUM
cana-1547	212	21	.	.	PUNCT
cana-1547	212	22	traces	trace	NOUN
cana-1547	212	23	of	of	ADP
cana-1547	212	24	accuracy	accuracy	NOUN
cana-1547	212	25	throughout	throughout	ADP
cana-1547	212	26	preparation	preparation	NOUN
cana-1547	212	27	communications	communication	NOUN
cana-1547	212	28	on	on	ADP
cana-1547	212	29	applied	apply	VERB
cana-1547	212	30	nonlinear	nonlinear	ADJ
cana-1547	212	31	analysis	analysis	NOUN
cana-1547	212	32	issn	issn	NOUN
cana-1547	212	33	:	:	PUNCT
cana-1547	212	34	1074	1074	NUM
cana-1547	212	35	-	-	PUNCT
cana-1547	212	36	133x	133x	NUM
cana-1547	212	37	vol	vol	NOUN
cana-1547	212	38	31	31	NUM
cana-1547	212	39	no	no	NOUN
cana-1547	212	40	.	.	PUNCT
cana-1547	213	1	8s	8s	PROPN
cana-1547	213	2	(	(	PUNCT
cana-1547	213	3	2024	2024	NUM
cana-1547	213	4	)	)	PUNCT
cana-1547	213	5	553	553	NUM
cana-1547	213	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1547	213	7	to	to	PART
cana-1547	213	8	verify	verify	VERB
cana-1547	213	9	its	its	PRON
cana-1547	213	10	validity	validity	NOUN
cana-1547	213	11	,	,	PUNCT
cana-1547	213	12	the	the	DET
cana-1547	213	13	comparison	comparison	NOUN
cana-1547	213	14	of	of	ADP
cana-1547	213	15	system	system	NOUN
cana-1547	213	16	's	's	PART
cana-1547	213	17	efficiency	efficiency	NOUN
cana-1547	213	18	is	be	AUX
cana-1547	213	19	done	do	VERB
cana-1547	213	20	with	with	ADP
cana-1547	213	21	the	the	DET
cana-1547	213	22	svm	svm	ADJ
cana-1547	213	23	classification	classification	NOUN
cana-1547	213	24	.	.	PUNCT
cana-1547	214	1	when	when	SCONJ
cana-1547	214	2	operated	operate	VERB
cana-1547	214	3	on	on	ADP
cana-1547	214	4	the	the	DET
cana-1547	214	5	same	same	ADJ
cana-1547	214	6	function	function	NOUN
cana-1547	214	7	matrix	matrix	NOUN
cana-1547	214	8	as	as	ADP
cana-1547	214	9	the	the	DET
cana-1547	214	10	wcnn	wcnn	ADJ
cana-1547	214	11	system	system	NOUN
cana-1547	214	12	,	,	PUNCT
cana-1547	214	13	it	it	PRON
cana-1547	214	14	is	be	AUX
cana-1547	214	15	found	find	VERB
cana-1547	214	16	that	that	SCONJ
cana-1547	214	17	the	the	DET
cana-1547	214	18	svm	svm	ADJ
cana-1547	214	19	system	system	NOUN
cana-1547	214	20	produced	produce	VERB
cana-1547	214	21	an	an	DET
cana-1547	214	22	accuracyof	accuracyof	NOUN
cana-1547	214	23	94.79	94.79	NUM
cana-1547	214	24	%	%	NOUN
cana-1547	214	25	for	for	ADP
cana-1547	214	26	the	the	DET
cana-1547	214	27	grade	grade	NOUN
cana-1547	214	28	type-4	type-4	VERB
cana-1547	214	29	cancer.many	cancer.many	NUM
cana-1547	214	30	statistical	statistical	ADJ
cana-1547	214	31	methods	method	NOUN
cana-1547	214	32	are	be	AUX
cana-1547	214	33	employed	employ	VERB
cana-1547	214	34	to	to	PART
cana-1547	214	35	analyze	analyze	VERB
cana-1547	214	36	the	the	DET
cana-1547	214	37	output	output	NOUN
cana-1547	214	38	of	of	ADP
cana-1547	214	39	the	the	DET
cana-1547	214	40	suggested	suggest	VERB
cana-1547	214	41	wcnn	wcnn	ADJ
cana-1547	214	42	method	method	NOUN
cana-1547	214	43	.	.	PUNCT
cana-1547	215	1	the	the	DET
cana-1547	215	2	effectiveness	effectiveness	NOUN
cana-1547	215	3	of	of	ADP
cana-1547	215	4	the	the	DET
cana-1547	215	5	proposed	propose	VERB
cana-1547	215	6	method	method	NOUN
cana-1547	215	7	is	be	AUX
cana-1547	215	8	evaluated	evaluate	VERB
cana-1547	215	9	in	in	ADP
cana-1547	215	10	particular	particular	ADJ
cana-1547	215	11	by	by	ADP
cana-1547	215	12	calculating	calculate	VERB
cana-1547	215	13	sensitivity	sensitivity	NOUN
cana-1547	215	14	,	,	PUNCT
cana-1547	215	15	specificities	specificity	NOUN
cana-1547	215	16	,	,	PUNCT
cana-1547	215	17	and	and	CCONJ
cana-1547	215	18	accuracy	accuracy	NOUN
cana-1547	215	19	percentages(bahadure	percentages(bahadure	PROPN
cana-1547	215	20	,	,	PUNCT
cana-1547	215	21	2018)as	2018)as	PROPN
cana-1547	215	22	sensitivity	sensitivity	NOUN
cana-1547	215	23	=	=	SYM
cana-1547	215	24	tp	tp	NOUN
cana-1547	215	25	x	x	SYM
cana-1547	215	26	100	100	NUM
cana-1547	215	27	𝑻𝑷+𝑭𝑵	𝑻𝑷+𝑭𝑵	NOUN
cana-1547	215	28	,	,	PUNCT
cana-1547	215	29	specificities	specificity	NOUN
cana-1547	215	30	=	=	SYM
cana-1547	215	31	tn	tn	PROPN
cana-1547	215	32	x	x	SYM
cana-1547	215	33	100	100	NUM
cana-1547	215	34	𝑻𝑵+𝑭𝑷	𝑻𝑵+𝑭𝑷	ADJ
cana-1547	215	35	,	,	PUNCT
cana-1547	215	36	accuracy	accuracy	NOUN
cana-1547	215	37	=	=	SYM
cana-1547	215	38	(	(	PUNCT
cana-1547	215	39	tp+tn)x	tp+tn)x	PROPN
cana-1547	215	40	100	100	NUM
cana-1547	215	41	(	(	PUNCT
cana-1547	215	42	𝑻𝑷+𝑻𝑵+𝑭𝑷+𝑭𝑵	𝑻𝑷+𝑻𝑵+𝑭𝑷+𝑭𝑵	NOUN
cana-1547	215	43	)	)	PUNCT
cana-1547	215	44	table	table	NOUN
cana-1547	215	45	4	4	NUM
cana-1547	215	46	.	.	PUNCT
cana-1547	215	47	confusion	confusion	NOUN
cana-1547	215	48	matrix	matrix	NOUN
cana-1547	215	49	actual	actual	ADJ
cana-1547	215	50	positive	positive	ADJ
cana-1547	215	51	(	(	PUNCT
cana-1547	215	52	1	1	NUM
cana-1547	215	53	)	)	PUNCT
cana-1547	215	54	actual	actual	ADJ
cana-1547	215	55	negative(0	negative(0	PROPN
cana-1547	215	56	)	)	PUNCT
cana-1547	215	57	predicted	predict	VERB
cana-1547	215	58	positive(1	positive(1	NOUN
cana-1547	215	59	)	)	PUNCT
cana-1547	215	60	tp(true	tp(true	ADJ
cana-1547	215	61	positive	positive	ADJ
cana-1547	215	62	)	)	PUNCT
cana-1547	215	63	fp(false	fp(false	ADJ
cana-1547	215	64	positive	positive	NOUN
cana-1547	215	65	)	)	PUNCT
cana-1547	215	66	predicted	predict	VERB
cana-1547	215	67	negative	negative	ADJ
cana-1547	215	68	(	(	PUNCT
cana-1547	215	69	0	0	NUM
cana-1547	215	70	)	)	PUNCT
cana-1547	215	71	fn(false	fn(false	ADV
cana-1547	215	72	negative	negative	ADJ
cana-1547	215	73	)	)	PUNCT
cana-1547	215	74	tn(true	tn(true	NOUN
cana-1547	215	75	negative	negative	ADJ
cana-1547	215	76	)	)	PUNCT
cana-1547	215	77	the	the	DET
cana-1547	215	78	precision	precision	NOUN
cana-1547	215	79	,	,	PUNCT
cana-1547	215	80	recall	recall	NOUN
cana-1547	215	81	and	and	CCONJ
cana-1547	215	82	accuracy	accuracy	NOUN
cana-1547	215	83	are	be	AUX
cana-1547	215	84	calculated	calculate	VERB
cana-1547	215	85	in	in	ADP
cana-1547	215	86	equation	equation	NOUN
cana-1547	215	87	(	(	PUNCT
cana-1547	215	88	1	1	NUM
cana-1547	215	89	)	)	PUNCT
cana-1547	215	90	,	,	PUNCT
cana-1547	215	91	equation	equation	NOUN
cana-1547	215	92	(	(	PUNCT
cana-1547	215	93	2	2	NUM
cana-1547	215	94	)	)	PUNCT
cana-1547	215	95	and	and	CCONJ
cana-1547	215	96	equation	equation	NOUN
cana-1547	215	97	(	(	PUNCT
cana-1547	215	98	3	3	NUM
cana-1547	215	99	)	)	PUNCT
cana-1547	215	100	respectively	respectively	ADV
cana-1547	215	101	.	.	PUNCT
cana-1547	216	1	precision	precision	NOUN
cana-1547	216	2	=	=	PUNCT
cana-1547	216	3	tp	tp	PART
cana-1547	216	4	/	/	SYM
cana-1547	216	5	tp+fp	tp+fp	PROPN
cana-1547	216	6	(	(	PUNCT
cana-1547	216	7	1	1	NUM
cana-1547	216	8	)	)	PUNCT
cana-1547	216	9	recall=	recall=	NUM
cana-1547	216	10	tp	tp	X
cana-1547	216	11	/	/	SYM
cana-1547	216	12	tp+fn	tp+fn	PROPN
cana-1547	216	13	(	(	PUNCT
cana-1547	216	14	2	2	NUM
cana-1547	216	15	)	)	PUNCT
cana-1547	216	16	accuracy=	accuracy=	NUM
cana-1547	216	17	tp+tn/	tp+tn/	PROPN
cana-1547	216	18	tp+tn+fp+fn	tp+tn+fp+fn	PROPN
cana-1547	216	19	(	(	PUNCT
cana-1547	216	20	3	3	NUM
cana-1547	216	21	)	)	PUNCT
cana-1547	216	22	figure	figure	NOUN
cana-1547	216	23	8	8	NUM
cana-1547	216	24	.	.	PUNCT
cana-1547	217	1	training	training	NOUN
cana-1547	217	2	and	and	CCONJ
cana-1547	217	3	validating	validate	VERB
cana-1547	217	4	accuracy	accuracy	NOUN
cana-1547	217	5	of	of	ADP
cana-1547	217	6	the	the	DET
cana-1547	217	7	proposed	propose	VERB
cana-1547	217	8	work	work	NOUN
cana-1547	217	9	.	.	PUNCT
cana-1547	218	1	figure	figure	NOUN
cana-1547	218	2	8	8	NUM
cana-1547	218	3	represents	represent	VERB
cana-1547	218	4	the	the	DET
cana-1547	218	5	training	training	NOUN
cana-1547	218	6	accuracy	accuracy	NOUN
cana-1547	218	7	and	and	CCONJ
cana-1547	218	8	validation	validation	NOUN
cana-1547	218	9	accuracy	accuracy	NOUN
cana-1547	218	10	using	use	VERB
cana-1547	218	11	wcnn	wcnn	NOUN
cana-1547	218	12	and	and	CCONJ
cana-1547	218	13	some	some	DET
cana-1547	218	14	sample	sample	NOUN
cana-1547	218	15	results	result	NOUN
cana-1547	218	16	of	of	ADP
cana-1547	218	17	the	the	DET
cana-1547	218	18	detected	detect	VERB
cana-1547	218	19	cancer	cancer	NOUN
cana-1547	218	20	output	output	NOUN
cana-1547	218	21	are	be	AUX
cana-1547	218	22	also	also	ADV
cana-1547	218	23	shown	show	VERB
cana-1547	218	24	in	in	ADP
cana-1547	218	25	figure	figure	NOUN
cana-1547	218	26	9	9	NUM
cana-1547	218	27	.	.	PUNCT
cana-1547	218	28	table	table	NOUN
cana-1547	218	29	4	4	NUM
cana-1547	218	30	represents	represent	VERB
cana-1547	218	31	the	the	DET
cana-1547	218	32	confusion	confusion	NOUN
cana-1547	218	33	matrix	matrix	NOUN
cana-1547	218	34	used	use	VERB
cana-1547	218	35	in	in	ADP
cana-1547	218	36	the	the	DET
cana-1547	218	37	proposed	propose	VERB
cana-1547	218	38	methodology	methodology	NOUN
cana-1547	218	39	.	.	PUNCT
cana-1547	219	1	table	table	NOUN
cana-1547	219	2	5	5	NUM
cana-1547	219	3	shows	show	VERB
cana-1547	219	4	the	the	DET
cana-1547	219	5	comparative	comparative	ADJ
cana-1547	219	6	analysis	analysis	NOUN
cana-1547	219	7	of	of	ADP
cana-1547	219	8	the	the	DET
cana-1547	219	9	proposed	propose	VERB
cana-1547	219	10	wcnn	wcnn	NOUN
cana-1547	219	11	with	with	ADP
cana-1547	219	12	svm	svm	PROPN
cana-1547	219	13	.	.	PUNCT
cana-1547	220	1	the	the	DET
cana-1547	220	2	data	datum	NOUN
cana-1547	220	3	set	set	VERB
cana-1547	220	4	available	available	ADJ
cana-1547	220	5	for	for	ADP
cana-1547	220	6	different	different	ADJ
cana-1547	220	7	grades	grade	NOUN
cana-1547	220	8	of	of	ADP
cana-1547	220	9	cancer	cancer	NOUN
cana-1547	220	10	images	image	NOUN
cana-1547	220	11	were	be	AUX
cana-1547	220	12	:	:	PUNCT
cana-1547	220	13	180	180	NUM
cana-1547	220	14	images	image	NOUN
cana-1547	220	15	of	of	ADP
cana-1547	220	16	grade	grade	NOUN
cana-1547	220	17	1	1	NUM
cana-1547	220	18	(	(	PUNCT
cana-1547	220	19	gl1	gl1	NOUN
cana-1547	220	20	)	)	PUNCT
cana-1547	220	21	,	,	PUNCT
cana-1547	220	22	150	150	NUM
cana-1547	220	23	images	image	NOUN
cana-1547	220	24	of	of	ADP
cana-1547	220	25	grade	grade	NOUN
cana-1547	220	26	2	2	NUM
cana-1547	220	27	(	(	PUNCT
cana-1547	220	28	gl2	gl2	PROPN
cana-1547	220	29	)	)	PUNCT
cana-1547	220	30	,	,	PUNCT
cana-1547	220	31	160	160	NUM
cana-1547	220	32	and	and	CCONJ
cana-1547	220	33	170	170	NUM
cana-1547	220	34	images	image	NOUN
cana-1547	220	35	were	be	AUX
cana-1547	220	36	for	for	ADP
cana-1547	220	37	grade	grade	NOUN
cana-1547	220	38	3	3	NUM
cana-1547	220	39	(	(	PUNCT
cana-1547	220	40	gl3	gl3	PROPN
cana-1547	220	41	)	)	PUNCT
cana-1547	220	42	and	and	CCONJ
cana-1547	220	43	grade	grade	NOUN
cana-1547	220	44	4	4	NUM
cana-1547	220	45	(	(	PUNCT
cana-1547	220	46	gl4	gl4	NOUN
cana-1547	220	47	)	)	PUNCT
cana-1547	220	48	cancer	cancer	NOUN
cana-1547	220	49	images	image	NOUN
cana-1547	220	50	(	(	PUNCT
cana-1547	220	51	you	you	PRON
cana-1547	220	52	have	have	AUX
cana-1547	220	53	mentioned	mention	VERB
cana-1547	220	54	this	this	PRON
cana-1547	220	55	before	before	ADV
cana-1547	220	56	.	.	PUNCT
cana-1547	221	1	no	no	DET
cana-1547	221	2	need	need	NOUN
cana-1547	221	3	to	to	PART
cana-1547	221	4	mention	mention	VERB
cana-1547	221	5	again	again	ADV
cana-1547	221	6	)	)	PUNCT
cana-1547	221	7	.	.	PUNCT
cana-1547	222	1	in	in	ADP
cana-1547	222	2	the	the	DET
cana-1547	222	3	table	table	NOUN
cana-1547	222	4	5	5	NUM
cana-1547	222	5	,	,	PUNCT
cana-1547	222	6	it	it	PRON
cana-1547	222	7	is	be	AUX
cana-1547	222	8	shown	show	VERB
cana-1547	222	9	that	that	SCONJ
cana-1547	222	10	there	there	PRON
cana-1547	222	11	is	be	VERB
cana-1547	222	12	an	an	DET
cana-1547	222	13	improvement	improvement	NOUN
cana-1547	222	14	in	in	ADP
cana-1547	222	15	the	the	DET
cana-1547	222	16	accuracy	accuracy	NOUN
cana-1547	222	17	of	of	ADP
cana-1547	222	18	3.20	3.20	NUM
cana-1547	222	19	%	%	NOUN
cana-1547	222	20	,	,	PUNCT
cana-1547	222	21	1.90	1.90	NUM
cana-1547	222	22	%	%	NOUN
cana-1547	222	23	,	,	PUNCT
cana-1547	222	24	3.08	3.08	NUM
cana-1547	222	25	%	%	NOUN
cana-1547	222	26	and	and	CCONJ
cana-1547	222	27	1.70	1.70	NUM
cana-1547	222	28	%	%	NOUN
cana-1547	222	29	for	for	ADP
cana-1547	222	30	gl1	gl1	PROPN
cana-1547	222	31	,	,	PUNCT
cana-1547	222	32	gl2	gl2	PROPN
cana-1547	222	33	,	,	PUNCT
cana-1547	222	34	gl3	gl3	PROPN
cana-1547	222	35	and	and	CCONJ
cana-1547	222	36	gl4	gl4	NOUN
cana-1547	222	37	respectively	respectively	ADV
cana-1547	222	38	.	.	PUNCT
cana-1547	223	1	also	also	ADV
cana-1547	223	2	,	,	PUNCT
cana-1547	223	3	significant	significant	ADJ
cana-1547	223	4	improvement	improvement	NOUN
cana-1547	223	5	has	have	AUX
cana-1547	223	6	been	be	AUX
cana-1547	223	7	seen	see	VERB
cana-1547	223	8	in	in	ADP
cana-1547	223	9	recall	recall	NOUN
cana-1547	223	10	parameter	parameter	PROPN
cana-1547	223	11	.	.	PUNCT
cana-1547	224	1	recall	recall	PROPN
cana-1547	224	2	has	have	AUX
cana-1547	224	3	improved	improve	VERB
cana-1547	224	4	to	to	ADP
cana-1547	224	5	2.80	2.80	NUM
cana-1547	224	6	%	%	NOUN
cana-1547	224	7	,	,	PUNCT
cana-1547	224	8	3.1	3.1	NUM
cana-1547	224	9	%	%	NOUN
cana-1547	224	10	,	,	PUNCT
cana-1547	224	11	2.9	2.9	NUM
cana-1547	224	12	%	%	NOUN
cana-1547	224	13	and	and	CCONJ
cana-1547	224	14	0.9	0.9	NUM
cana-1547	224	15	%	%	NOUN
cana-1547	224	16	for	for	ADP
cana-1547	224	17	gl1	gl1	PROPN
cana-1547	224	18	,	,	PUNCT
cana-1547	224	19	gl2	gl2	PROPN
cana-1547	224	20	,	,	PUNCT
cana-1547	224	21	gl3	gl3	PROPN
cana-1547	224	22	and	and	CCONJ
cana-1547	224	23	gl4	gl4	NOUN
cana-1547	224	24	respectively	respectively	ADV
cana-1547	224	25	.	.	PUNCT
cana-1547	225	1	so	so	ADV
cana-1547	225	2	,	,	PUNCT
cana-1547	225	3	it	it	PRON
cana-1547	225	4	can	can	AUX
cana-1547	225	5	be	be	AUX
cana-1547	225	6	seen	see	VERB
cana-1547	225	7	from	from	ADP
cana-1547	225	8	the	the	DET
cana-1547	225	9	results	result	NOUN
cana-1547	225	10	that	that	SCONJ
cana-1547	225	11	there	there	PRON
cana-1547	225	12	is	be	VERB
cana-1547	225	13	significant	significant	ADJ
cana-1547	225	14	improvement	improvement	NOUN
cana-1547	225	15	in	in	ADP
cana-1547	225	16	the	the	PRON
cana-1547	225	17	in	in	ADP
cana-1547	225	18	the	the	DET
cana-1547	225	19	performance	performance	NOUN
cana-1547	225	20	parameters	parameter	NOUN
cana-1547	225	21	,	,	PUNCT
cana-1547	225	22	using	use	VERB
cana-1547	225	23	the	the	DET
cana-1547	225	24	proposed	propose	VERB
cana-1547	225	25	cnn	cnn	PROPN
cana-1547	225	26	method	method	NOUN
cana-1547	225	27	.	.	PUNCT
cana-1547	226	1	communications	communication	NOUN
cana-1547	226	2	on	on	ADP
cana-1547	226	3	applied	apply	VERB
cana-1547	226	4	nonlinear	nonlinear	ADJ
cana-1547	226	5	analysis	analysis	NOUN
cana-1547	226	6	issn	issn	NOUN
cana-1547	226	7	:	:	PUNCT
cana-1547	226	8	1074	1074	NUM
cana-1547	226	9	-	-	PUNCT
cana-1547	226	10	133x	133x	NUM
cana-1547	226	11	vol	vol	NOUN
cana-1547	226	12	31	31	NUM
cana-1547	226	13	no	no	NOUN
cana-1547	226	14	.	.	PUNCT
cana-1547	227	1	8s	8s	PROPN
cana-1547	227	2	(	(	PUNCT
cana-1547	227	3	2024	2024	NUM
cana-1547	227	4	)	)	PUNCT
cana-1547	227	5	554	554	NUM
cana-1547	227	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1547	227	7	figure	figure	NOUN
cana-1547	227	8	9	9	NUM
cana-1547	227	9	sample	sample	NOUN
cana-1547	227	10	output	output	NOUN
cana-1547	227	11	of	of	ADP
cana-1547	227	12	the	the	DET
cana-1547	227	13	detected	detect	VERB
cana-1547	227	14	tumor	tumor	NOUN
cana-1547	227	15	in	in	ADP
cana-1547	227	16	mris	mris	PROPN
cana-1547	227	17	table	table	NOUN
cana-1547	227	18	5	5	NUM
cana-1547	227	19	.	.	PUNCT
cana-1547	227	20	comparative	comparative	ADJ
cana-1547	227	21	performance	performance	NOUN
cana-1547	227	22	of	of	ADP
cana-1547	227	23	svm	svm	ADJ
cana-1547	227	24	an	an	DET
cana-1547	227	25	wcnn	wcnn	NOUN
cana-1547	227	26	(	(	PUNCT
cana-1547	227	27	proposed	propose	VERB
cana-1547	227	28	)	)	PUNCT
cana-1547	227	29	wcnn	wcnn	NOUN
cana-1547	227	30	(	(	PUNCT
cana-1547	227	31	proposed	propose	VERB
cana-1547	227	32	)	)	PUNCT
cana-1547	227	33	tumor	tumor	NOUN
cana-1547	227	34	type	type	NOUN
cana-1547	227	35	no.of	no.of	PROPN
cana-1547	227	36	samples	sample	NOUN
cana-1547	227	37	tp	tp	ADP
cana-1547	227	38	tn	tn	PROPN
cana-1547	227	39	fp	fp	PROPN
cana-1547	227	40	fn	fn	PROPN
cana-1547	227	41	precision	precision	NOUN
cana-1547	227	42	recall	recall	NOUN
cana-1547	227	43	accuracy	accuracy	NOUN
cana-1547	227	44	gl1	gl1	VERB
cana-1547	227	45	180	180	NUM
cana-1547	227	46	99	99	NUM
cana-1547	227	47	76	76	NUM
cana-1547	227	48	2	2	NUM
cana-1547	227	49	3	3	NUM
cana-1547	227	50	98.02	98.02	NUM
cana-1547	227	51	97.06	97.06	NUM
cana-1547	227	52	97.22	97.22	NUM
cana-1547	227	53	gl2	gl2	NOUN
cana-1547	227	54	150	150	NUM
cana-1547	227	55	91	91	NUM
cana-1547	227	56	56	56	NUM
cana-1547	227	57	4	4	NUM
cana-1547	227	58	2	2	NUM
cana-1547	227	59	95.79	95.79	NUM
cana-1547	227	60	97.85	97.85	NUM
cana-1547	227	61	96.08	96.08	NUM
cana-1547	227	62	gl3	gl3	NOUN
cana-1547	227	63	160	160	NUM
cana-1547	227	64	92	92	NUM
cana-1547	227	65	63	63	NUM
cana-1547	227	66	3	3	NUM
cana-1547	227	67	2	2	NUM
cana-1547	227	68	96.88	96.88	NUM
cana-1547	227	69	97.89	97.89	NUM
cana-1547	227	70	96.95	96.95	NUM
cana-1547	227	71	gl4	gl4	NOUN
cana-1547	227	72	170	170	NUM
cana-1547	227	73	96	96	NUM
cana-1547	227	74	67	67	NUM
cana-1547	227	75	3	3	NUM
cana-1547	227	76	3	3	NUM
cana-1547	227	77	97.03	97.03	NUM
cana-1547	227	78	97.03	97.03	NUM
cana-1547	227	79	96.53	96.53	NUM
cana-1547	227	80	svm	svm	PROPN
cana-1547	227	81	tumor	tumor	NOUN
cana-1547	227	82	type	type	NOUN
cana-1547	227	83	no.of	no.of	PROPN
cana-1547	227	84	samples	sample	NOUN
cana-1547	227	85	tp	tp	ADP
cana-1547	227	86	tn	tn	PROPN
cana-1547	227	87	fp	fp	PROPN
cana-1547	227	88	fn	fn	PROPN
cana-1547	227	89	precision	precision	NOUN
cana-1547	227	90	recall	recall	NOUN
cana-1547	227	91	accuracy	accuracy	NOUN
cana-1547	227	92	gl1	gl1	VERB
cana-1547	228	1	180	180	NUM
cana-1547	228	2	97	97	NUM
cana-1547	228	3	73	73	NUM
cana-1547	228	4	5	5	NUM
cana-1547	228	5	6	6	NUM
cana-1547	228	6	95.09	95.09	NUM
cana-1547	228	7	94.17	94.17	NUM
cana-1547	228	8	93.92	93.92	NUM
cana-1547	228	9	gl2	gl2	NOUN
cana-1547	228	10	150	150	NUM
cana-1547	228	11	90	90	NUM
cana-1547	228	12	53	53	NUM
cana-1547	228	13	4	4	NUM
cana-1547	228	14	5	5	NUM
cana-1547	228	15	95.74	95.74	NUM
cana-1547	228	16	94.73	94.73	NUM
cana-1547	228	17	94.07	94.07	NUM
cana-1547	228	18	gl3	gl3	NOUN
cana-1547	228	19	160	160	NUM
cana-1547	228	20	91	91	NUM
cana-1547	228	21	62	62	NUM
cana-1547	228	22	6	6	NUM
cana-1547	228	23	4	4	NUM
cana-1547	228	24	93.81	93.81	NUM
cana-1547	228	25	95.78	95.78	NUM
cana-1547	228	26	93.86	93.86	NUM
cana-1547	228	27	gl4	gl4	NOUN
cana-1547	228	28	170	170	NUM
cana-1547	228	29	97	97	NUM
cana-1547	228	30	67	67	NUM
cana-1547	228	31	5	5	NUM
cana-1547	228	32	4	4	NUM
cana-1547	228	33	95.09	95.09	NUM
cana-1547	228	34	96.03	96.03	NUM
cana-1547	228	35	94.79	94.79	NUM
cana-1547	228	36	based	base	VERB
cana-1547	228	37	on	on	ADP
cana-1547	228	38	the	the	DET
cana-1547	228	39	provided	provide	VERB
cana-1547	228	40	data	datum	NOUN
cana-1547	228	41	,	,	PUNCT
cana-1547	228	42	let	let	VERB
cana-1547	228	43	's	us	PRON
cana-1547	228	44	compare	compare	VERB
cana-1547	228	45	the	the	DET
cana-1547	228	46	performance	performance	NOUN
cana-1547	228	47	of	of	ADP
cana-1547	228	48	the	the	DET
cana-1547	228	49	proposed	propose	VERB
cana-1547	228	50	wcnn	wcnn	NOUN
cana-1547	228	51	(	(	PUNCT
cana-1547	228	52	weighted	weight	VERB
cana-1547	228	53	convolutional	convolutional	ADJ
cana-1547	228	54	neural	neural	ADJ
cana-1547	228	55	network	network	NOUN
cana-1547	228	56	)	)	PUNCT
cana-1547	228	57	with	with	ADP
cana-1547	228	58	support	support	NOUN
cana-1547	228	59	vector	vector	NOUN
cana-1547	228	60	machine	machine	NOUN
cana-1547	228	61	(	(	PUNCT
cana-1547	228	62	svm	svm	PROPN
cana-1547	228	63	)	)	PUNCT
cana-1547	228	64	for	for	ADP
cana-1547	228	65	tumor	tumor	NOUN
cana-1547	228	66	detection	detection	NOUN
cana-1547	228	67	across	across	ADP
cana-1547	228	68	different	different	ADJ
cana-1547	228	69	types	type	NOUN
cana-1547	228	70	:	:	PUNCT
cana-1547	228	71	accuracy	accuracy	NOUN
cana-1547	228	72	:	:	PUNCT
cana-1547	228	73	overall	overall	ADJ
cana-1547	228	74	,	,	PUNCT
cana-1547	228	75	wcnn	wcnn	PROPN
cana-1547	228	76	outperforms	outperform	NOUN
cana-1547	228	77	svm	svm	ADJ
cana-1547	228	78	in	in	ADP
cana-1547	228	79	terms	term	NOUN
cana-1547	228	80	of	of	ADP
cana-1547	228	81	accuracy	accuracy	NOUN
cana-1547	228	82	of	of	ADP
cana-1547	228	83	all	all	DET
cana-1547	228	84	tumor	tumor	NOUN
cana-1547	228	85	types	type	NOUN
cana-1547	228	86	.	.	PUNCT
cana-1547	229	1	the	the	DET
cana-1547	229	2	accuracy	accuracy	NOUN
cana-1547	229	3	of	of	ADP
cana-1547	229	4	wcnn	wcnn	PROPN
cana-1547	229	5	ranged	range	VERB
cana-1547	229	6	from	from	ADP
cana-1547	229	7	96.08	96.08	NUM
cana-1547	229	8	%	%	NOUN
cana-1547	229	9	to	to	ADP
cana-1547	229	10	97.22	97.22	NUM
cana-1547	229	11	%	%	NOUN
cana-1547	229	12	,	,	PUNCT
cana-1547	229	13	while	while	SCONJ
cana-1547	229	14	that	that	PRON
cana-1547	229	15	of	of	ADP
cana-1547	229	16	svm	svm	PROPN
cana-1547	229	17	ranged	range	VERB
cana-1547	229	18	from	from	ADP
cana-1547	229	19	93.86	93.86	NUM
cana-1547	229	20	%	%	NOUN
cana-1547	229	21	to	to	ADP
cana-1547	229	22	94.79	94.79	NUM
cana-1547	229	23	%	%	NOUN
cana-1547	229	24	.	.	PUNCT
cana-1547	230	1	thus	thus	ADV
cana-1547	230	2	,	,	PUNCT
cana-1547	230	3	wcnn	wcnn	PROPN
cana-1547	230	4	achieves	achieve	VERB
cana-1547	230	5	higher	high	ADJ
cana-1547	230	6	accuracy	accuracy	NOUN
cana-1547	230	7	in	in	ADP
cana-1547	230	8	tumor	tumor	NOUN
cana-1547	230	9	detection	detection	NOUN
cana-1547	230	10	in	in	ADP
cana-1547	230	11	all	all	DET
cana-1547	230	12	types	type	NOUN
cana-1547	230	13	.	.	PUNCT
cana-1547	231	1	precision	precision	NOUN
cana-1547	231	2	:	:	PUNCT
cana-1547	232	1	wcnn	wcnn	PROPN
cana-1547	232	2	exhibits	exhibit	VERB
cana-1547	232	3	consistently	consistently	ADV
cana-1547	232	4	higher	high	ADJ
cana-1547	232	5	accuracy	accuracy	NOUN
cana-1547	232	6	compared	compare	VERB
cana-1547	232	7	to	to	PART
cana-1547	232	8	svm	svm	VERB
cana-1547	232	9	in	in	ADP
cana-1547	232	10	all	all	DET
cana-1547	232	11	types	type	NOUN
cana-1547	232	12	of	of	ADP
cana-1547	232	13	tumors	tumor	NOUN
cana-1547	232	14	.	.	PUNCT
cana-1547	233	1	precision	precision	NOUN
cana-1547	233	2	measures	measure	VERB
cana-1547	233	3	the	the	DET
cana-1547	233	4	proportion	proportion	NOUN
cana-1547	233	5	of	of	ADP
cana-1547	233	6	true	true	ADJ
cana-1547	233	7	positive	positive	ADJ
cana-1547	233	8	predictions	prediction	NOUN
cana-1547	233	9	among	among	ADP
cana-1547	233	10	all	all	DET
cana-1547	233	11	positive	positive	ADJ
cana-1547	233	12	predictions	prediction	NOUN
cana-1547	233	13	.	.	PUNCT
cana-1547	234	1	the	the	DET
cana-1547	234	2	accuracy	accuracy	NOUN
cana-1547	234	3	of	of	ADP
cana-1547	234	4	wcnn	wcnn	PROPN
cana-1547	234	5	ranges	range	VERB
cana-1547	234	6	from	from	ADP
cana-1547	234	7	95.79	95.79	NUM
cana-1547	234	8	%	%	NOUN
cana-1547	234	9	to	to	ADP
cana-1547	234	10	98.02	98.02	NUM
cana-1547	234	11	%	%	NOUN
cana-1547	234	12	,	,	PUNCT
cana-1547	234	13	while	while	SCONJ
cana-1547	234	14	that	that	PRON
cana-1547	234	15	of	of	ADP
cana-1547	234	16	svm	svm	PROPN
cana-1547	234	17	ranges	range	VERB
cana-1547	234	18	from	from	ADP
cana-1547	234	19	93.81	93.81	NUM
cana-1547	234	20	%	%	NOUN
cana-1547	234	21	to	to	ADP
cana-1547	234	22	95.74	95.74	NUM
cana-1547	234	23	%	%	NOUN
cana-1547	234	24	.	.	PUNCT
cana-1547	235	1	this	this	PRON
cana-1547	235	2	indicates	indicate	VERB
cana-1547	235	3	that	that	SCONJ
cana-1547	235	4	wcnn	wcnn	PROPN
cana-1547	235	5	provides	provide	VERB
cana-1547	235	6	highly	highly	ADV
cana-1547	235	7	accurate	accurate	ADJ
cana-1547	235	8	good	good	ADJ
cana-1547	235	9	forecasts	forecast	NOUN
cana-1547	235	10	.	.	PUNCT
cana-1547	236	1	recall	recall	NOUN
cana-1547	236	2	:	:	PUNCT
cana-1547	236	3	like	like	ADP
cana-1547	236	4	accuracy	accuracy	NOUN
cana-1547	236	5	,	,	PUNCT
cana-1547	236	6	wcnn	wcnn	PROPN
cana-1547	236	7	consistently	consistently	ADV
cana-1547	236	8	shows	show	VERB
cana-1547	236	9	higher	high	ADJ
cana-1547	236	10	recall	recall	NOUN
cana-1547	236	11	than	than	ADP
cana-1547	236	12	svm	svm	PROPN
cana-1547	236	13	.	.	PROPN
cana-1547	236	14	recall	recall	PROPN
cana-1547	236	15	measures	measure	NOUN
cana-1547	236	16	the	the	DET
cana-1547	236	17	proportion	proportion	NOUN
cana-1547	236	18	of	of	ADP
cana-1547	236	19	truly	truly	ADV
cana-1547	236	20	positive	positive	ADJ
cana-1547	236	21	predictions	prediction	NOUN
cana-1547	236	22	in	in	ADP
cana-1547	236	23	all	all	DET
cana-1547	236	24	truly	truly	ADV
cana-1547	236	25	positive	positive	ADJ
cana-1547	236	26	cases	case	NOUN
cana-1547	236	27	.	.	PUNCT
cana-1547	237	1	the	the	DET
cana-1547	237	2	recall	recall	NOUN
cana-1547	237	3	rate	rate	NOUN
cana-1547	237	4	of	of	ADP
cana-1547	237	5	wcnn	wcnn	PROPN
cana-1547	237	6	ranges	range	VERB
cana-1547	237	7	from	from	ADP
cana-1547	237	8	94.17	94.17	NUM
cana-1547	237	9	%	%	NOUN
cana-1547	237	10	to	to	ADP
cana-1547	237	11	97.89	97.89	NUM
cana-1547	237	12	%	%	NOUN
cana-1547	237	13	,	,	PUNCT
cana-1547	237	14	while	while	SCONJ
cana-1547	237	15	that	that	PRON
cana-1547	237	16	of	of	ADP
cana-1547	237	17	svm	svm	PROPN
cana-1547	237	18	ranges	range	VERB
cana-1547	237	19	from	from	ADP
cana-1547	237	20	94.17	94.17	NUM
cana-1547	237	21	%	%	NOUN
cana-1547	237	22	to	to	ADP
cana-1547	237	23	96.03	96.03	NUM
cana-1547	237	24	%	%	NOUN
cana-1547	237	25	.	.	PUNCT
cana-1547	238	1	this	this	PRON
cana-1547	238	2	indicates	indicate	VERB
cana-1547	238	3	that	that	SCONJ
cana-1547	238	4	wcnn	wcnn	PROPN
cana-1547	238	5	captures	capture	VERB
cana-1547	238	6	a	a	DET
cana-1547	238	7	high	high	ADJ
cana-1547	238	8	percentage	percentage	NOUN
cana-1547	238	9	of	of	ADP
cana-1547	238	10	truly	truly	ADV
cana-1547	238	11	positive	positive	ADJ
cana-1547	238	12	cases	case	NOUN
cana-1547	238	13	.	.	PUNCT
cana-1547	239	1	communications	communication	NOUN
cana-1547	239	2	on	on	ADP
cana-1547	239	3	applied	apply	VERB
cana-1547	239	4	nonlinear	nonlinear	ADJ
cana-1547	239	5	analysis	analysis	NOUN
cana-1547	239	6	issn	issn	NOUN
cana-1547	239	7	:	:	PUNCT
cana-1547	239	8	1074	1074	NUM
cana-1547	239	9	-	-	PUNCT
cana-1547	239	10	133x	133x	NUM
cana-1547	239	11	vol	vol	NOUN
cana-1547	239	12	31	31	NUM
cana-1547	239	13	no	no	NOUN
cana-1547	239	14	.	.	PUNCT
cana-1547	240	1	8s	8s	PROPN
cana-1547	240	2	(	(	PUNCT
cana-1547	240	3	2024	2024	NUM
cana-1547	240	4	)	)	PUNCT
cana-1547	240	5	555	555	NUM
cana-1547	240	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1547	240	7	specificity	specificity	NOUN
cana-1547	240	8	:	:	PUNCT
cana-1547	240	9	both	both	PRON
cana-1547	240	10	wcnn	wcnn	NOUN
cana-1547	240	11	and	and	CCONJ
cana-1547	240	12	svm	svm	PROPN
cana-1547	240	13	have	have	VERB
cana-1547	240	14	similar	similar	ADJ
cana-1547	240	15	performance	performance	NOUN
cana-1547	240	16	in	in	ADP
cana-1547	240	17	terms	term	NOUN
cana-1547	240	18	of	of	ADP
cana-1547	240	19	specificity	specificity	NOUN
cana-1547	240	20	,	,	PUNCT
cana-1547	240	21	measuring	measure	VERB
cana-1547	240	22	the	the	DET
cana-1547	240	23	fraction	fraction	NOUN
cana-1547	240	24	of	of	ADP
cana-1547	240	25	true	true	ADJ
cana-1547	240	26	negative	negative	ADJ
cana-1547	240	27	predictions	prediction	NOUN
cana-1547	240	28	among	among	ADP
cana-1547	240	29	all	all	DET
cana-1547	240	30	true	true	ADJ
cana-1547	240	31	negative	negative	ADJ
cana-1547	240	32	cases	case	NOUN
cana-1547	240	33	in	in	ADP
cana-1547	240	34	different	different	ADJ
cana-1547	240	35	tumor	tumor	NOUN
cana-1547	240	36	types	type	NOUN
cana-1547	240	37	both	both	DET
cana-1547	240	38	methods	method	NOUN
cana-1547	240	39	achieve	achieve	VERB
cana-1547	240	40	specificity	specificity	NOUN
cana-1547	240	41	values	value	NOUN
cana-1547	240	42	ranging	range	VERB
cana-1547	240	43	from	from	ADP
cana-1547	240	44	94.17	94.17	NUM
cana-1547	240	45	%	%	NOUN
cana-1547	240	46	to	to	ADP
cana-1547	240	47	97.22	97.22	NUM
cana-1547	240	48	%	%	NOUN
cana-1547	240	49	for	for	ADP
cana-1547	240	50	wcnn	wcnn	NOUN
cana-1547	240	51	and	and	CCONJ
cana-1547	240	52	94.17	94.17	NUM
cana-1547	240	53	%	%	NOUN
cana-1547	240	54	to	to	ADP
cana-1547	240	55	97.03	97.03	NUM
cana-1547	240	56	%	%	NOUN
cana-1547	240	57	.	.	PUNCT
cana-1547	241	1	for	for	ADP
cana-1547	241	2	svm	svm	PROPN
cana-1547	241	3	.	.	PUNCT
cana-1547	242	1	f1	f1	PROPN
cana-1547	242	2	score	score	NOUN
cana-1547	242	3	:	:	PUNCT
cana-1547	242	4	the	the	DET
cana-1547	242	5	f1	f1	PROPN
cana-1547	242	6	scores	score	NOUN
cana-1547	242	7	of	of	ADP
cana-1547	242	8	the	the	DET
cana-1547	242	9	harmonic	harmonic	ADJ
cana-1547	242	10	mean	mean	NOUN
cana-1547	242	11	of	of	ADP
cana-1547	242	12	precision	precision	NOUN
cana-1547	242	13	and	and	CCONJ
cana-1547	242	14	recall	recall	NOUN
cana-1547	242	15	are	be	AUX
cana-1547	242	16	higher	high	ADJ
cana-1547	242	17	for	for	ADP
cana-1547	242	18	wcnn	wcnn	NOUN
cana-1547	242	19	compared	compare	VERB
cana-1547	242	20	to	to	PART
cana-1547	242	21	svm	svm	VERB
cana-1547	242	22	for	for	ADP
cana-1547	242	23	all	all	DET
cana-1547	242	24	tumor	tumor	NOUN
cana-1547	242	25	types	type	NOUN
cana-1547	242	26	.	.	PUNCT
cana-1547	243	1	this	this	PRON
cana-1547	243	2	means	mean	VERB
cana-1547	243	3	that	that	SCONJ
cana-1547	243	4	wcnn	wcnn	PROPN
cana-1547	243	5	achieves	achieve	VERB
cana-1547	243	6	a	a	DET
cana-1547	243	7	good	good	ADJ
cana-1547	243	8	balance	balance	NOUN
cana-1547	243	9	between	between	ADP
cana-1547	243	10	accuracy	accuracy	NOUN
cana-1547	243	11	and	and	CCONJ
cana-1547	243	12	recall	recall	NOUN
cana-1547	243	13	,	,	PUNCT
cana-1547	243	14	increasing	increase	VERB
cana-1547	243	15	the	the	DET
cana-1547	243	16	overall	overall	ADJ
cana-1547	243	17	performance	performance	NOUN
cana-1547	243	18	.	.	PUNCT
cana-1547	244	1	overall	overall	ADJ
cana-1547	244	2	,	,	PUNCT
cana-1547	244	3	based	base	VERB
cana-1547	244	4	on	on	ADP
cana-1547	244	5	the	the	DET
cana-1547	244	6	provided	provide	VERB
cana-1547	244	7	data	datum	NOUN
cana-1547	244	8	,	,	PUNCT
cana-1547	244	9	wcnn	wcnn	PROPN
cana-1547	244	10	demonstrates	demonstrate	VERB
cana-1547	244	11	superior	superior	ADJ
cana-1547	244	12	performance	performance	NOUN
cana-1547	244	13	in	in	ADP
cana-1547	244	14	terms	term	NOUN
cana-1547	244	15	of	of	ADP
cana-1547	244	16	accuracy	accuracy	NOUN
cana-1547	244	17	,	,	PUNCT
cana-1547	244	18	precision	precision	NOUN
cana-1547	244	19	,	,	PUNCT
cana-1547	244	20	recall	recall	NOUN
cana-1547	244	21	,	,	PUNCT
cana-1547	244	22	and	and	CCONJ
cana-1547	244	23	f1	f1	NOUN
cana-1547	244	24	score	score	NOUN
cana-1547	244	25	compared	compare	VERB
cana-1547	244	26	to	to	PART
cana-1547	244	27	svm	svm	VERB
cana-1547	244	28	for	for	ADP
cana-1547	244	29	tumor	tumor	NOUN
cana-1547	244	30	detection	detection	NOUN
cana-1547	244	31	across	across	ADP
cana-1547	244	32	different	different	ADJ
cana-1547	244	33	types	type	NOUN
cana-1547	244	34	.	.	PUNCT
cana-1547	245	1	however	however	ADV
cana-1547	245	2	,	,	PUNCT
cana-1547	245	3	it	it	PRON
cana-1547	245	4	's	be	AUX
cana-1547	245	5	essential	essential	ADJ
cana-1547	245	6	to	to	PART
cana-1547	245	7	consider	consider	VERB
cana-1547	245	8	other	other	ADJ
cana-1547	245	9	factors	factor	NOUN
cana-1547	245	10	such	such	ADJ
cana-1547	245	11	as	as	ADP
cana-1547	245	12	computational	computational	ADJ
cana-1547	245	13	complexity	complexity	NOUN
cana-1547	245	14	and	and	CCONJ
cana-1547	245	15	scalability	scalability	NOUN
cana-1547	245	16	when	when	SCONJ
cana-1547	245	17	choosing	choose	VERB
cana-1547	245	18	between	between	ADP
cana-1547	245	19	these	these	DET
cana-1547	245	20	two	two	NUM
cana-1547	245	21	methods	method	NOUN
cana-1547	245	22	for	for	ADP
cana-1547	245	23	practical	practical	ADJ
cana-1547	245	24	implementation	implementation	NOUN
cana-1547	245	25	.	.	PUNCT
cana-1547	246	1	6	6	X
cana-1547	246	2	.	.	X
cana-1547	246	3	conclusion	conclusion	NOUN
cana-1547	246	4	cad	cad	PROPN
cana-1547	246	5	method	method	NOUN
cana-1547	246	6	for	for	ADP
cana-1547	246	7	detecting	detect	VERB
cana-1547	246	8	the	the	DET
cana-1547	246	9	brain	brain	NOUN
cana-1547	246	10	tumor	tumor	NOUN
cana-1547	246	11	with	with	ADP
cana-1547	246	12	high	high	ADJ
cana-1547	246	13	accuracy	accuracy	NOUN
cana-1547	246	14	using	use	VERB
cana-1547	246	15	mri	mri	NOUN
cana-1547	246	16	scans	scan	NOUN
cana-1547	246	17	is	be	AUX
cana-1547	246	18	very	very	ADV
cana-1547	246	19	challenging	challenging	ADJ
cana-1547	246	20	.	.	PUNCT
cana-1547	247	1	this	this	DET
cana-1547	247	2	paper	paper	NOUN
cana-1547	247	3	presents	present	VERB
cana-1547	247	4	high	high	ADJ
cana-1547	247	5	accuracy	accuracy	NOUN
cana-1547	247	6	cad	cad	NOUN
cana-1547	247	7	method	method	NOUN
cana-1547	247	8	for	for	ADP
cana-1547	247	9	diagnosing	diagnose	VERB
cana-1547	247	10	brain	brain	NOUN
cana-1547	247	11	cancers	cancer	NOUN
cana-1547	247	12	.	.	PUNCT
cana-1547	248	1	four	four	NUM
cana-1547	248	2	different	different	ADJ
cana-1547	248	3	types	type	NOUN
cana-1547	248	4	of	of	ADP
cana-1547	248	5	brain	brain	NOUN
cana-1547	248	6	tumor	tumor	NOUN
cana-1547	248	7	are	be	AUX
cana-1547	248	8	considered	consider	VERB
cana-1547	248	9	in	in	ADP
cana-1547	248	10	this	this	DET
cana-1547	248	11	work	work	NOUN
cana-1547	248	12	and	and	CCONJ
cana-1547	248	13	the	the	DET
cana-1547	248	14	tumors	tumor	NOUN
cana-1547	248	15	are	be	AUX
cana-1547	248	16	detected	detect	VERB
cana-1547	248	17	using	use	VERB
cana-1547	248	18	the	the	DET
cana-1547	248	19	proposed	propose	VERB
cana-1547	248	20	wcnn	wcnn	ADJ
cana-1547	248	21	method	method	NOUN
cana-1547	248	22	,	,	PUNCT
cana-1547	248	23	which	which	PRON
cana-1547	248	24	is	be	AUX
cana-1547	248	25	a	a	DET
cana-1547	248	26	combination	combination	NOUN
cana-1547	248	27	of	of	ADP
cana-1547	248	28	wavelet	wavelet	NOUN
cana-1547	248	29	and	and	CCONJ
cana-1547	248	30	cnn	cnn	PROPN
cana-1547	248	31	,	,	PUNCT
cana-1547	248	32	where	where	SCONJ
cana-1547	248	33	haar	haar	PROPN
cana-1547	248	34	wavelet	wavelet	PROPN
cana-1547	248	35	is	be	AUX
cana-1547	248	36	used	use	VERB
cana-1547	248	37	for	for	ADP
cana-1547	248	38	preprocessing	preprocesse	VERB
cana-1547	248	39	the	the	DET
cana-1547	248	40	mri	mri	NOUN
cana-1547	248	41	imagesand	imagesand	PROPN
cana-1547	248	42	cnn	cnn	PROPN
cana-1547	248	43	is	be	AUX
cana-1547	248	44	used	use	VERB
cana-1547	248	45	for	for	ADP
cana-1547	248	46	classification	classification	NOUN
cana-1547	248	47	.	.	PUNCT
cana-1547	249	1	the	the	DET
cana-1547	249	2	proposed	propose	VERB
cana-1547	249	3	work	work	NOUN
cana-1547	249	4	is	be	AUX
cana-1547	249	5	compared	compare	VERB
cana-1547	249	6	with	with	ADP
cana-1547	249	7	svmbased	svmbase	VERB
cana-1547	249	8	method	method	NOUN
cana-1547	249	9	and	and	CCONJ
cana-1547	249	10	it	it	PRON
cana-1547	249	11	is	be	AUX
cana-1547	249	12	demonstrated	demonstrate	VERB
cana-1547	249	13	that	that	SCONJ
cana-1547	249	14	the	the	DET
cana-1547	249	15	proposed	propose	VERB
cana-1547	249	16	work	work	NOUN
cana-1547	249	17	performs	perform	VERB
cana-1547	249	18	better	well	ADJ
cana-1547	249	19	than	than	ADP
cana-1547	249	20	svm	svm	PROPN
cana-1547	249	21	.	.	PUNCT
cana-1547	250	1	the	the	DET
cana-1547	250	2	performance	performance	NOUN
cana-1547	250	3	is	be	AUX
cana-1547	250	4	evaluated	evaluate	VERB
cana-1547	250	5	on	on	ADP
cana-1547	250	6	a	a	DET
cana-1547	250	7	number	number	NOUN
cana-1547	250	8	of	of	ADP
cana-1547	250	9	different	different	ADJ
cana-1547	250	10	mri	mri	NOUN
cana-1547	250	11	dataset	dataset	NOUN
cana-1547	250	12	for	for	ADP
cana-1547	250	13	different	different	ADJ
cana-1547	250	14	types	type	NOUN
cana-1547	250	15	of	of	ADP
cana-1547	250	16	cancer	cancer	NOUN
cana-1547	250	17	.	.	PUNCT
cana-1547	251	1	the	the	DET
cana-1547	251	2	proposed	propose	VERB
cana-1547	251	3	work	work	NOUN
cana-1547	251	4	achieves	achieve	VERB
cana-1547	251	5	good	good	ADJ
cana-1547	251	6	overall	overall	ADJ
cana-1547	251	7	accuracy	accuracy	NOUN
cana-1547	251	8	.	.	PUNCT
cana-1547	252	1	in	in	ADP
cana-1547	252	2	this	this	DET
cana-1547	252	3	paper	paper	NOUN
cana-1547	252	4	the	the	DET
cana-1547	252	5	binary	binary	ADJ
cana-1547	252	6	classification	classification	NOUN
cana-1547	252	7	is	be	AUX
cana-1547	252	8	implemented.as	implemented.as	X
cana-1547	252	9	a	a	DET
cana-1547	252	10	future	future	ADJ
cana-1547	252	11	work	work	NOUN
cana-1547	252	12	,	,	PUNCT
cana-1547	252	13	the	the	DET
cana-1547	252	14	proposed	propose	VERB
cana-1547	252	15	work	work	NOUN
cana-1547	252	16	can	can	AUX
cana-1547	252	17	be	be	AUX
cana-1547	252	18	extended	extend	VERB
cana-1547	252	19	to	to	PART
cana-1547	252	20	include	include	VERB
cana-1547	252	21	the	the	DET
cana-1547	252	22	multi	multi	ADJ
cana-1547	252	23	-	-	ADJ
cana-1547	252	24	class	class	ADJ
cana-1547	252	25	classification	classification	NOUN
cana-1547	252	26	for	for	ADP
cana-1547	252	27	different	different	ADJ
cana-1547	252	28	classes	class	NOUN
cana-1547	252	29	of	of	ADP
cana-1547	252	30	cancers	cancer	NOUN
cana-1547	252	31	.	.	PUNCT
cana-1547	253	1	limitations	limitation	NOUN
cana-1547	253	2	of	of	ADP
cana-1547	253	3	the	the	DET
cana-1547	253	4	paper	paper	NOUN
cana-1547	253	5	the	the	DET
cana-1547	253	6	research	research	NOUN
cana-1547	253	7	paper	paper	NOUN
cana-1547	253	8	successfully	successfully	ADV
cana-1547	253	9	demonstrates	demonstrate	VERB
cana-1547	253	10	the	the	DET
cana-1547	253	11	effectiveness	effectiveness	NOUN
cana-1547	253	12	of	of	ADP
cana-1547	253	13	the	the	DET
cana-1547	253	14	proposed	propose	VERB
cana-1547	253	15	wcnn	wcnn	ADJ
cana-1547	253	16	method	method	NOUN
cana-1547	253	17	for	for	ADP
cana-1547	253	18	brain	brain	NOUN
cana-1547	253	19	tumor	tumor	NOUN
cana-1547	253	20	detection	detection	NOUN
cana-1547	253	21	using	use	VERB
cana-1547	253	22	mri	mri	NOUN
cana-1547	253	23	scans	scan	NOUN
cana-1547	253	24	.	.	PUNCT
cana-1547	254	1	however	however	ADV
cana-1547	254	2	,	,	PUNCT
cana-1547	254	3	the	the	DET
cana-1547	254	4	study	study	NOUN
cana-1547	254	5	is	be	AUX
cana-1547	254	6	limited	limit	VERB
cana-1547	254	7	to	to	ADP
cana-1547	254	8	binary	binary	ADJ
cana-1547	254	9	classification	classification	NOUN
cana-1547	254	10	,	,	PUNCT
cana-1547	254	11	focusing	focus	VERB
cana-1547	254	12	solely	solely	ADV
cana-1547	254	13	on	on	ADP
cana-1547	254	14	distinguishing	distinguish	VERB
cana-1547	254	15	between	between	ADP
cana-1547	254	16	tumor	tumor	NOUN
cana-1547	254	17	and	and	CCONJ
cana-1547	254	18	non	non	ADJ
cana-1547	254	19	-	-	ADJ
cana-1547	254	20	tumor	tumor	ADJ
cana-1547	254	21	cases	case	NOUN
cana-1547	254	22	.	.	PUNCT
cana-1547	255	1	future	future	ADJ
cana-1547	255	2	research	research	NOUN
cana-1547	255	3	could	could	AUX
cana-1547	255	4	explore	explore	VERB
cana-1547	255	5	extending	extend	VERB
cana-1547	255	6	the	the	DET
cana-1547	255	7	method	method	NOUN
cana-1547	255	8	to	to	PART
cana-1547	255	9	handle	handle	VERB
cana-1547	255	10	multi	multi	ADJ
cana-1547	255	11	-	-	ADJ
cana-1547	255	12	class	class	ADJ
cana-1547	255	13	classification	classification	NOUN
cana-1547	255	14	,	,	PUNCT
cana-1547	255	15	addressing	address	VERB
cana-1547	255	16	various	various	ADJ
cana-1547	255	17	types	type	NOUN
cana-1547	255	18	of	of	ADP
cana-1547	255	19	brain	brain	NOUN
cana-1547	255	20	cancers	cancer	NOUN
cana-1547	255	21	beyond	beyond	ADP
cana-1547	255	22	the	the	DET
cana-1547	255	23	four	four	NUM
cana-1547	255	24	considered	consider	VERB
cana-1547	255	25	in	in	ADP
cana-1547	255	26	this	this	DET
cana-1547	255	27	study	study	NOUN
cana-1547	255	28	.	.	PUNCT
cana-1547	256	1	refrences	refrence	VERB
cana-1547	257	1	[	[	X
cana-1547	257	2	1	1	X
cana-1547	257	3	]	]	SYM
cana-1547	257	4	ostrom	ostrom	NOUN
cana-1547	257	5	,	,	PUNCT
cana-1547	257	6	q.	q.	PROPN
cana-1547	257	7	t.	t.	PROPN
cana-1547	257	8	,	,	PUNCT
cana-1547	257	9	cioffi	cioffi	PROPN
cana-1547	257	10	,	,	PUNCT
cana-1547	257	11	g.	g.	PROPN
cana-1547	257	12	,	,	PUNCT
cana-1547	257	13	waite	waite	PROPN
cana-1547	257	14	,	,	PUNCT
cana-1547	257	15	k.	k.	PROPN
cana-1547	257	16	,	,	PUNCT
cana-1547	257	17	kruchko	kruchko	VERB
cana-1547	257	18	,	,	PUNCT
cana-1547	257	19	c.	c.	PROPN
cana-1547	257	20	,	,	PUNCT
cana-1547	257	21	&	&	CCONJ
cana-1547	257	22	barnholtz	barnholtz	PROPN
cana-1547	257	23	-	-	PUNCT
cana-1547	257	24	sloan	sloan	PROPN
cana-1547	257	25	,	,	PUNCT
cana-1547	257	26	j.	j.	PROPN
cana-1547	257	27	s.	s.	PROPN
cana-1547	257	28	(	(	PUNCT
cana-1547	257	29	2021	2021	NUM
cana-1547	257	30	)	)	PUNCT
cana-1547	257	31	.	.	PUNCT
cana-1547	258	1	cbtrus	cbtrus	NOUN
cana-1547	258	2	statistical	statistical	ADJ
cana-1547	258	3	report	report	NOUN
cana-1547	258	4	:	:	PUNCT
cana-1547	258	5	primary	primary	ADJ
cana-1547	258	6	brain	brain	NOUN
cana-1547	258	7	and	and	CCONJ
cana-1547	258	8	other	other	ADJ
cana-1547	258	9	central	central	ADJ
cana-1547	258	10	nervous	nervous	ADJ
cana-1547	258	11	system	system	NOUN
cana-1547	258	12	tumors	tumor	NOUN
cana-1547	258	13	diagnosed	diagnose	VERB
cana-1547	258	14	in	in	ADP
cana-1547	258	15	the	the	DET
cana-1547	258	16	united	united	PROPN
cana-1547	258	17	states	states	PROPN
cana-1547	258	18	in	in	ADP
cana-1547	258	19	2014–2018	2014–2018	NUM
cana-1547	258	20	.	.	PUNCT
cana-1547	259	1	neurooncology	neurooncology	NOUN
cana-1547	259	2	,	,	PUNCT
cana-1547	259	3	23(supplement_3	23(supplement_3	NUM
cana-1547	259	4	)	)	PUNCT
cana-1547	259	5	,	,	PUNCT
cana-1547	259	6	iii1	iii1	PROPN
cana-1547	259	7	-	-	PUNCT
cana-1547	259	8	iii105	iii105	PROPN
cana-1547	259	9	.	.	PUNCT
cana-1547	260	1	[	[	X
cana-1547	260	2	2	2	NUM
cana-1547	260	3	]	]	PUNCT
cana-1547	260	4	siegel	siegel	NOUN
cana-1547	260	5	,	,	PUNCT
cana-1547	260	6	r.	r.	PROPN
cana-1547	260	7	l.	l.	PROPN
cana-1547	260	8	,	,	PUNCT
cana-1547	260	9	miller	miller	PROPN
cana-1547	260	10	,	,	PUNCT
cana-1547	260	11	k.	k.	PROPN
cana-1547	260	12	d.	d.	PROPN
cana-1547	260	13	,	,	PUNCT
cana-1547	260	14	fedewa	fedewa	PROPN
cana-1547	260	15	,	,	PUNCT
cana-1547	260	16	s.	s.	PROPN
cana-1547	260	17	a.	a.	PROPN
cana-1547	260	18	,	,	PUNCT
cana-1547	260	19	ahnen	ahnen	PROPN
cana-1547	260	20	,	,	PUNCT
cana-1547	260	21	d.	d.	PROPN
cana-1547	260	22	j.	j.	PROPN
cana-1547	260	23	,	,	PUNCT
cana-1547	260	24	meester	meester	PROPN
cana-1547	260	25	,	,	PUNCT
cana-1547	260	26	r.	r.	PROPN
cana-1547	260	27	g.	g.	PROPN
cana-1547	260	28	,	,	PUNCT
cana-1547	260	29	barzi	barzi	NOUN
cana-1547	260	30	,	,	PUNCT
cana-1547	260	31	a.	a.	NOUN
cana-1547	260	32	,	,	PUNCT
cana-1547	260	33	&	&	CCONJ
cana-1547	260	34	jemal	jemal	ADJ
cana-1547	260	35	,	,	PUNCT
cana-1547	260	36	a.	a.	NOUN
cana-1547	260	37	(	(	PUNCT
cana-1547	260	38	2017	2017	NUM
cana-1547	260	39	)	)	PUNCT
cana-1547	260	40	.	.	PUNCT
cana-1547	261	1	colorectal	colorectal	ADJ
cana-1547	261	2	cancer	cancer	NOUN
cana-1547	261	3	statistics	statistic	NOUN
cana-1547	261	4	,	,	PUNCT
cana-1547	261	5	2017	2017	NUM
cana-1547	261	6	.	.	PUNCT
cana-1547	262	1	ca	can	AUX
cana-1547	262	2	:	:	PUNCT
cana-1547	262	3	a	a	DET
cana-1547	262	4	cancer	cancer	NOUN
cana-1547	262	5	journal	journal	NOUN
cana-1547	262	6	for	for	ADP
cana-1547	262	7	clinicians	clinician	NOUN
cana-1547	262	8	,	,	PUNCT
cana-1547	262	9	67(3	67(3	NUM
cana-1547	262	10	)	)	PUNCT
cana-1547	262	11	,	,	PUNCT
cana-1547	262	12	177	177	NUM
cana-1547	262	13	-	-	SYM
cana-1547	262	14	193	193	NUM
cana-1547	262	15	.	.	PUNCT
cana-1547	263	1	[	[	X
cana-1547	263	2	3	3	NUM
cana-1547	263	3	]	]	SYM
cana-1547	263	4	ostrom	ostrom	NOUN
cana-1547	263	5	,	,	PUNCT
cana-1547	263	6	q.	q.	PROPN
cana-1547	263	7	t.	t.	PROPN
cana-1547	263	8	,	,	PUNCT
cana-1547	263	9	adel	adel	PROPN
cana-1547	263	10	fahmideh	fahmideh	PROPN
cana-1547	263	11	,	,	PUNCT
cana-1547	263	12	m.	m.	NOUN
cana-1547	263	13	,	,	PUNCT
cana-1547	263	14	cote	cote	PROPN
cana-1547	263	15	,	,	PUNCT
cana-1547	263	16	d.	d.	PROPN
cana-1547	263	17	j.	j.	PROPN
cana-1547	263	18	,	,	PUNCT
cana-1547	263	19	muskens	muskens	PROPN
cana-1547	263	20	,	,	PUNCT
cana-1547	263	21	i.	i.	PROPN
cana-1547	263	22	s.	s.	PROPN
cana-1547	263	23	,	,	PUNCT
cana-1547	263	24	schraw	schraw	PROPN
cana-1547	263	25	,	,	PUNCT
cana-1547	263	26	j.	j.	PROPN
cana-1547	263	27	m.	m.	PROPN
cana-1547	263	28	,	,	PUNCT
cana-1547	263	29	scheurer	scheurer	NOUN
cana-1547	263	30	,	,	PUNCT
cana-1547	263	31	m.	m.	PROPN
cana-1547	263	32	e.	e.	PROPN
cana-1547	263	33	,	,	PUNCT
cana-1547	263	34	&	&	CCONJ
cana-1547	263	35	bondy	bondy	PROPN
cana-1547	263	36	,	,	PUNCT
cana-1547	263	37	m.	m.	NOUN
cana-1547	263	38	l.	l.	PROPN
cana-1547	263	39	(	(	PUNCT
cana-1547	263	40	2019	2019	NUM
cana-1547	263	41	)	)	PUNCT
cana-1547	263	42	.	.	PUNCT
cana-1547	264	1	risk	risk	NOUN
cana-1547	264	2	factors	factor	NOUN
cana-1547	264	3	for	for	ADP
cana-1547	264	4	childhood	childhood	NOUN
cana-1547	264	5	and	and	CCONJ
cana-1547	264	6	adult	adult	NOUN
cana-1547	264	7	primary	primary	ADJ
cana-1547	264	8	brain	brain	NOUN
cana-1547	264	9	tumors	tumor	NOUN
cana-1547	264	10	.	.	PUNCT
cana-1547	265	1	neuro	neuro	NOUN
cana-1547	265	2	-	-	PUNCT
cana-1547	265	3	oncology	oncology	NOUN
cana-1547	265	4	,	,	PUNCT
cana-1547	265	5	21(11	21(11	NUM
cana-1547	265	6	)	)	PUNCT
cana-1547	265	7	,	,	PUNCT
cana-1547	265	8	1357	1357	NUM
cana-1547	265	9	-	-	SYM
cana-1547	265	10	1375	1375	NUM
cana-1547	265	11	.	.	PUNCT
cana-1547	266	1	[	[	X
cana-1547	266	2	4	4	NUM
cana-1547	266	3	]	]	X
cana-1547	266	4	sarhan	sarhan	NOUN
cana-1547	266	5	,	,	PUNCT
cana-1547	266	6	a.	a.	NOUN
cana-1547	266	7	m.	m.	NOUN
cana-1547	266	8	(	(	PUNCT
cana-1547	266	9	2009	2009	NUM
cana-1547	266	10	)	)	PUNCT
cana-1547	266	11	.	.	PUNCT
cana-1547	267	1	a	a	DET
cana-1547	267	2	comparison	comparison	NOUN
cana-1547	267	3	of	of	ADP
cana-1547	267	4	vector	vector	NOUN
cana-1547	267	5	quantization	quantization	NOUN
cana-1547	267	6	and	and	CCONJ
cana-1547	267	7	artificial	artificial	ADJ
cana-1547	267	8	neural	neural	ADJ
cana-1547	267	9	networks	network	NOUN
cana-1547	267	10	techniques	technique	NOUN
cana-1547	267	11	in	in	ADP
cana-1547	267	12	typed	type	VERB
cana-1547	267	13	arabic	arabic	ADJ
cana-1547	267	14	character	character	NOUN
cana-1547	267	15	recognition	recognition	NOUN
cana-1547	267	16	.	.	PUNCT
cana-1547	268	1	international	international	ADJ
cana-1547	268	2	journal	journal	PROPN
cana-1547	268	3	of	of	ADP
cana-1547	268	4	applied	apply	VERB
cana-1547	268	5	engineering	engineering	NOUN
cana-1547	268	6	research	research	NOUN
cana-1547	268	7	,	,	PUNCT
cana-1547	268	8	4(5	4(5	PROPN
cana-1547	268	9	)	)	PUNCT
cana-1547	268	10	,	,	PUNCT
cana-1547	268	11	805	805	NUM
cana-1547	268	12	-	-	SYM
cana-1547	268	13	818	818	NUM
cana-1547	268	14	..	..	PUNCT
cana-1547	269	1	[	[	X
cana-1547	269	2	5	5	X
cana-1547	269	3	]	]	X
cana-1547	269	4	kumar	kumar	PROPN
cana-1547	269	5	,	,	PUNCT
cana-1547	269	6	s.	s.	PROPN
cana-1547	269	7	,	,	PUNCT
cana-1547	269	8	kumar	kumar	PROPN
cana-1547	269	9	,	,	PUNCT
cana-1547	269	10	n.	n.	PROPN
cana-1547	269	11	,	,	PUNCT
cana-1547	269	12	rishabh	rishabh	PROPN
cana-1547	269	13	,	,	PUNCT
cana-1547	269	14	i.	i.	PROPN
cana-1547	269	15	k.	k.	PROPN
cana-1547	269	16	,	,	PUNCT
cana-1547	269	17	&	&	CCONJ
cana-1547	269	18	keshari	keshari	PROPN
cana-1547	269	19	,	,	PUNCT
cana-1547	269	20	v.	v.	PROPN
cana-1547	269	21	(	(	PUNCT
cana-1547	269	22	2021	2021	NUM
cana-1547	269	23	)	)	PUNCT
cana-1547	269	24	.	.	PUNCT
cana-1547	270	1	automated	automate	VERB
cana-1547	270	2	brain	brain	NOUN
cana-1547	270	3	tumour	tumour	NOUN
cana-1547	270	4	detection	detection	NOUN
cana-1547	270	5	using	use	VERB
cana-1547	270	6	deep	deep	ADJ
cana-1547	270	7	learning	learning	NOUN
cana-1547	270	8	via	via	ADP
cana-1547	270	9	convolution	convolution	NOUN
cana-1547	270	10	neural	neural	ADJ
cana-1547	270	11	networks	network	NOUN
cana-1547	270	12	(	(	PUNCT
cana-1547	270	13	cnn	cnn	PROPN
cana-1547	270	14	)	)	PUNCT
cana-1547	270	15	.	.	PUNCT
cana-1547	271	1	int	int	NOUN
cana-1547	271	2	.	.	PUNCT
cana-1547	272	1	j.	j.	PROPN
cana-1547	272	2	cur	cur	PROPN
cana-1547	272	3	.	.	PUNCT
cana-1547	273	1	res	re	NOUN
cana-1547	273	2	.	.	PUNCT
cana-1547	274	1	rev	rev	PROPN
cana-1547	274	2	,	,	PUNCT
cana-1547	274	3	13(02	13(02	NUM
cana-1547	274	4	)	)	PUNCT
cana-1547	274	5	,	,	PUNCT
cana-1547	274	6	148	148	NUM
cana-1547	274	7	.	.	PUNCT
cana-1547	275	1	[	[	X
cana-1547	275	2	6	6	NUM
cana-1547	275	3	]	]	X
cana-1547	275	4	kumar	kumar	PROPN
cana-1547	275	5	,	,	PUNCT
cana-1547	275	6	s.	s.	PROPN
cana-1547	275	7	,	,	PUNCT
cana-1547	275	8	singh	singh	PROPN
cana-1547	275	9	,	,	PUNCT
cana-1547	275	10	j.	j.	PROPN
cana-1547	275	11	n.	n.	PROPN
cana-1547	275	12	,	,	PUNCT
cana-1547	275	13	&	&	CCONJ
cana-1547	275	14	kumar	kumar	PROPN
cana-1547	275	15	,	,	PUNCT
cana-1547	275	16	n.	n.	PROPN
cana-1547	275	17	(	(	PUNCT
cana-1547	275	18	2020).an	2020).an	NUM
cana-1547	275	19	amalgam	amalgam	NOUN
cana-1547	275	20	method	method	NOUN
cana-1547	275	21	efficient	efficient	ADJ
cana-1547	275	22	for	for	ADP
cana-1547	275	23	finding	finding	NOUN
cana-1547	275	24	of	of	ADP
cana-1547	275	25	cancer	cancer	NOUN
cana-1547	275	26	gene	gene	NOUN
cana-1547	275	27	using	use	VERB
cana-1547	275	28	csc	csc	PROPN
cana-1547	275	29	from	from	ADP
cana-1547	275	30	micro	micro	PROPN
cana-1547	275	31	array	array	PROPN
cana-1547	275	32	data	data	PROPN
cana-1547	275	33	.	.	PUNCT
cana-1547	276	1	international	international	ADJ
cana-1547	276	2	journal	journal	PROPN
cana-1547	276	3	on	on	ADP
cana-1547	276	4	emerging	emerge	VERB
cana-1547	276	5	technologies	technology	NOUN
cana-1547	276	6	,	,	PUNCT
cana-1547	276	7	11(3	11(3	NUM
cana-1547	276	8	)	)	PUNCT
cana-1547	276	9	,	,	PUNCT
cana-1547	276	10	207	207	NUM
cana-1547	276	11	-	-	SYM
cana-1547	276	12	211	211	NUM
cana-1547	276	13	.	.	PUNCT
cana-1547	277	1	communications	communication	NOUN
cana-1547	277	2	on	on	ADP
cana-1547	277	3	applied	apply	VERB
cana-1547	277	4	nonlinear	nonlinear	ADJ
cana-1547	277	5	analysis	analysis	NOUN
cana-1547	277	6	issn	issn	NOUN
cana-1547	277	7	:	:	PUNCT
cana-1547	277	8	1074	1074	NUM
cana-1547	277	9	-	-	PUNCT
cana-1547	277	10	133x	133x	NUM
cana-1547	277	11	vol	vol	NOUN
cana-1547	277	12	31	31	NUM
cana-1547	277	13	no	no	NOUN
cana-1547	277	14	.	.	PUNCT
cana-1547	278	1	8s	8s	PROPN
cana-1547	278	2	(	(	PUNCT
cana-1547	278	3	2024	2024	NUM
cana-1547	278	4	)	)	PUNCT
cana-1547	278	5	556	556	NUM
cana-1547	278	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1547	279	1	[	[	X
cana-1547	279	2	7	7	X
cana-1547	279	3	]	]	X
cana-1547	279	4	kumar	kumar	PROPN
cana-1547	279	5	,	,	PUNCT
cana-1547	279	6	s.	s.	PROPN
cana-1547	279	7	,	,	PUNCT
cana-1547	279	8	negi	negi	PROPN
cana-1547	279	9	,	,	PUNCT
cana-1547	279	10	a.	a.	PROPN
cana-1547	279	11	,	,	PUNCT
cana-1547	279	12	singh	singh	PROPN
cana-1547	279	13	,	,	PUNCT
cana-1547	279	14	j.	j.	PROPN
cana-1547	279	15	n.	n.	PROPN
cana-1547	279	16	,	,	PUNCT
cana-1547	279	17	&	&	CCONJ
cana-1547	279	18	verma	verma	PROPN
cana-1547	279	19	,	,	PUNCT
cana-1547	279	20	h.	h.	PROPN
cana-1547	279	21	(	(	PUNCT
cana-1547	279	22	2018	2018	NUM
cana-1547	279	23	)	)	PUNCT
cana-1547	279	24	.	.	PUNCT
cana-1547	280	1	a	a	DET
cana-1547	280	2	deep	deep	ADJ
cana-1547	280	3	learning	learning	NOUN
cana-1547	280	4	for	for	ADP
cana-1547	280	5	brain	brain	NOUN
cana-1547	280	6	tumor	tumor	NOUN
cana-1547	280	7	mri	mri	NOUN
cana-1547	280	8	images	image	VERB
cana-1547	280	9	semantic	semantic	ADJ
cana-1547	280	10	segmentation	segmentation	NOUN
cana-1547	280	11	using	use	VERB
cana-1547	280	12	fcn	fcn	NOUN
cana-1547	280	13	.	.	PUNCT
cana-1547	281	1	in	in	ADP
cana-1547	281	2	2018	2018	NUM
cana-1547	281	3	4th	4th	ADJ
cana-1547	281	4	international	international	ADJ
cana-1547	281	5	conference	conference	NOUN
cana-1547	281	6	on	on	ADP
cana-1547	281	7	computing	compute	VERB
cana-1547	281	8	communication	communication	NOUN
cana-1547	281	9	and	and	CCONJ
cana-1547	281	10	automation	automation	NOUN
cana-1547	281	11	(	(	PUNCT
cana-1547	281	12	iccca	iccca	PROPN
cana-1547	281	13	)	)	PUNCT
cana-1547	281	14	(	(	PUNCT
cana-1547	281	15	pp	pp	X
cana-1547	281	16	.	.	PUNCT
cana-1547	282	1	1	1	NUM
cana-1547	282	2	-	-	SYM
cana-1547	282	3	4).ieee	4).ieee	NUM
cana-1547	282	4	.	.	PUNCT
cana-1547	283	1	[	[	X
cana-1547	283	2	8	8	NUM
cana-1547	283	3	]	]	X
cana-1547	283	4	altman	altman	NOUN
cana-1547	283	5	,	,	PUNCT
cana-1547	283	6	n.	n.	PROPN
cana-1547	283	7	s.	s.	PROPN
cana-1547	283	8	(	(	PUNCT
cana-1547	283	9	1992	1992	NUM
cana-1547	283	10	)	)	PUNCT
cana-1547	283	11	.	.	PUNCT
cana-1547	284	1	an	an	DET
cana-1547	284	2	introduction	introduction	NOUN
cana-1547	284	3	to	to	ADP
cana-1547	284	4	kernel	kernel	PROPN
cana-1547	284	5	and	and	CCONJ
cana-1547	284	6	nearest	nearest	ADJ
cana-1547	284	7	-	-	PUNCT
cana-1547	284	8	neighbor	neighbor	NOUN
cana-1547	284	9	nonparametric	nonparametric	NOUN
cana-1547	284	10	regression	regression	NOUN
cana-1547	284	11	.	.	PUNCT
cana-1547	285	1	the	the	DET
cana-1547	285	2	american	american	PROPN
cana-1547	285	3	statistician	statistician	PROPN
cana-1547	285	4	,	,	PUNCT
cana-1547	285	5	46(3	46(3	NOUN
cana-1547	285	6	)	)	PUNCT
cana-1547	285	7	,	,	PUNCT
cana-1547	285	8	175	175	NUM
cana-1547	285	9	-	-	SYM
cana-1547	285	10	185	185	NUM
cana-1547	285	11	..	..	PUNCT
cana-1547	286	1	[	[	X
cana-1547	286	2	9	9	NUM
cana-1547	286	3	]	]	SYM
cana-1547	286	4	zhang	zhang	PROPN
cana-1547	286	5	,	,	PUNCT
cana-1547	286	6	j.	j.	PROPN
cana-1547	286	7	,	,	PUNCT
cana-1547	286	8	shen	shen	PROPN
cana-1547	286	9	,	,	PUNCT
cana-1547	286	10	x.	x.	PROPN
cana-1547	286	11	,	,	PUNCT
cana-1547	286	12	zhuo	zhuo	PROPN
cana-1547	286	13	,	,	PUNCT
cana-1547	286	14	t.	t.	PROPN
cana-1547	286	15	,	,	PUNCT
cana-1547	286	16	&	&	CCONJ
cana-1547	286	17	zhou	zhou	PROPN
cana-1547	286	18	,	,	PUNCT
cana-1547	286	19	h.	h.	PROPN
cana-1547	286	20	(	(	PUNCT
cana-1547	286	21	2017	2017	NUM
cana-1547	286	22	)	)	PUNCT
cana-1547	286	23	.	.	PUNCT
cana-1547	286	24	brain	brain	NOUN
cana-1547	286	25	tumor	tumor	PROPN
cana-1547	286	26	segmentation	segmentation	NOUN
cana-1547	286	27	based	base	VERB
cana-1547	286	28	on	on	ADP
cana-1547	286	29	refined	refine	VERB
cana-1547	286	30	fully	fully	ADV
cana-1547	286	31	convolutional	convolutional	ADJ
cana-1547	286	32	neural	neural	ADJ
cana-1547	286	33	networks	network	NOUN
cana-1547	286	34	with	with	ADP
cana-1547	286	35	a	a	DET
cana-1547	286	36	hierarchical	hierarchical	ADJ
cana-1547	286	37	dice	dice	NOUN
cana-1547	286	38	loss	loss	NOUN
cana-1547	286	39	.	.	PUNCT
cana-1547	287	1	arxiv	arxiv	PROPN
cana-1547	287	2	preprint	preprint	VERB
cana-1547	287	3	arxiv:1712.09093	arxiv:1712.09093	ADV
cana-1547	287	4	.	.	PUNCT
cana-1547	288	1	[	[	X
cana-1547	288	2	10	10	NUM
cana-1547	288	3	]	]	X
cana-1547	288	4	abiwinanda	abiwinanda	PROPN
cana-1547	288	5	,	,	PUNCT
cana-1547	288	6	n.	n.	NOUN
cana-1547	288	7	,	,	PUNCT
cana-1547	288	8	hanif	hanif	PROPN
cana-1547	288	9	,	,	PUNCT
cana-1547	288	10	m.	m.	NOUN
cana-1547	288	11	,	,	PUNCT
cana-1547	288	12	hesaputra	hesaputra	PROPN
cana-1547	288	13	,	,	PUNCT
cana-1547	288	14	s.	s.	PROPN
cana-1547	288	15	t.	t.	PROPN
cana-1547	288	16	,	,	PUNCT
cana-1547	288	17	handayani	handayani	PROPN
cana-1547	288	18	,	,	PUNCT
cana-1547	288	19	a.	a.	NOUN
cana-1547	288	20	,	,	PUNCT
cana-1547	288	21	&	&	CCONJ
cana-1547	288	22	mengko	mengko	PROPN
cana-1547	288	23	,	,	PUNCT
cana-1547	288	24	t.	t.	PROPN
cana-1547	288	25	r.	r.	PROPN
cana-1547	288	26	(	(	PUNCT
cana-1547	288	27	2019).brain	2019).brain	NUM
cana-1547	288	28	tumor	tumor	NOUN
cana-1547	288	29	classification	classification	NOUN
cana-1547	288	30	using	use	VERB
cana-1547	288	31	convolutional	convolutional	ADJ
cana-1547	288	32	neural	neural	ADJ
cana-1547	288	33	network.in	network.in	NUM
cana-1547	288	34	world	world	NOUN
cana-1547	288	35	congress	congress	PROPN
cana-1547	288	36	on	on	ADP
cana-1547	288	37	medical	medical	ADJ
cana-1547	288	38	physics	physics	NOUN
cana-1547	288	39	and	and	CCONJ
cana-1547	288	40	biomedical	biomedical	ADJ
cana-1547	288	41	engineering	engineering	NOUN
cana-1547	288	42	2018	2018	NUM
cana-1547	288	43	(	(	PUNCT
cana-1547	288	44	pp	pp	ADJ
cana-1547	288	45	.	.	PUNCT
cana-1547	289	1	183	183	NUM
cana-1547	289	2	-	-	SYM
cana-1547	289	3	189).springer	189).springer	NUM
cana-1547	289	4	,	,	PUNCT
cana-1547	289	5	singapore	singapore	PROPN
cana-1547	289	6	.	.	PUNCT
cana-1547	290	1	[	[	X
cana-1547	290	2	11	11	NUM
cana-1547	290	3	]	]	X
cana-1547	290	4	kumari	kumari	PROPN
cana-1547	290	5	,	,	PUNCT
cana-1547	290	6	r.	r.	PROPN
cana-1547	290	7	(	(	PUNCT
cana-1547	290	8	2013	2013	NUM
cana-1547	290	9	)	)	PUNCT
cana-1547	290	10	.	.	PUNCT
cana-1547	291	1	svm	svm	VERB
cana-1547	291	2	classification	classification	NOUN
cana-1547	291	3	an	an	DET
cana-1547	291	4	approach	approach	NOUN
cana-1547	291	5	on	on	ADP
cana-1547	291	6	detecting	detect	VERB
cana-1547	291	7	abnormality	abnormality	NOUN
cana-1547	291	8	in	in	ADP
cana-1547	291	9	brain	brain	NOUN
cana-1547	291	10	mri	mri	NOUN
cana-1547	291	11	images	image	NOUN
cana-1547	291	12	.	.	PUNCT
cana-1547	292	1	international	international	ADJ
cana-1547	292	2	journal	journal	NOUN
cana-1547	292	3	of	of	ADP
cana-1547	292	4	engineering	engineering	NOUN
cana-1547	292	5	research	research	NOUN
cana-1547	292	6	and	and	CCONJ
cana-1547	292	7	applications	application	NOUN
cana-1547	292	8	,	,	PUNCT
cana-1547	292	9	3(4	3(4	NUM
cana-1547	292	10	)	)	PUNCT
cana-1547	292	11	,	,	PUNCT
cana-1547	292	12	1686	1686	NUM
cana-1547	292	13	-	-	SYM
cana-1547	292	14	1690	1690	NUM
cana-1547	292	15	.	.	PUNCT
cana-1547	293	1	[	[	X
cana-1547	293	2	12	12	NUM
cana-1547	293	3	]	]	X
cana-1547	293	4	hua	hua	PROPN
cana-1547	293	5	,	,	PUNCT
cana-1547	293	6	l.	l.	PROPN
cana-1547	293	7	,	,	PUNCT
cana-1547	293	8	gu	gu	PROPN
cana-1547	293	9	,	,	PUNCT
cana-1547	293	10	y.	y.	PROPN
cana-1547	293	11	,	,	PUNCT
cana-1547	293	12	gu	gu	PROPN
cana-1547	293	13	,	,	PUNCT
cana-1547	293	14	x.	x.	PROPN
cana-1547	293	15	,	,	PUNCT
cana-1547	293	16	xue	xue	PROPN
cana-1547	293	17	,	,	PUNCT
cana-1547	293	18	j.	j.	PROPN
cana-1547	293	19	,	,	PUNCT
cana-1547	293	20	&	&	CCONJ
cana-1547	293	21	ni	ni	PROPN
cana-1547	293	22	,	,	PUNCT
cana-1547	293	23	t.	t.	PROPN
cana-1547	293	24	(	(	PUNCT
cana-1547	293	25	2021	2021	NUM
cana-1547	293	26	)	)	PUNCT
cana-1547	293	27	.	.	PUNCT
cana-1547	294	1	a	a	DET
cana-1547	294	2	novel	novel	ADJ
cana-1547	294	3	brain	brain	NOUN
cana-1547	294	4	mri	mri	NOUN
cana-1547	294	5	image	image	NOUN
cana-1547	294	6	segmentation	segmentation	NOUN
cana-1547	294	7	method	method	NOUN
cana-1547	294	8	using	use	VERB
cana-1547	294	9	an	an	DET
cana-1547	294	10	improved	improved	ADJ
cana-1547	294	11	multi	multi	ADJ
cana-1547	294	12	-	-	ADJ
cana-1547	294	13	view	view	ADJ
cana-1547	294	14	fuzzy	fuzzy	ADJ
cana-1547	294	15	c	c	NOUN
cana-1547	294	16	-	-	PUNCT
cana-1547	294	17	means	mean	VERB
cana-1547	294	18	clustering	clustering	ADJ
cana-1547	294	19	algorithm	algorithm	NOUN
cana-1547	294	20	.	.	PUNCT
cana-1547	295	1	frontiers	frontier	NOUN
cana-1547	295	2	in	in	ADP
cana-1547	295	3	neuroscience	neuroscience	NOUN
cana-1547	295	4	,	,	PUNCT
cana-1547	295	5	15	15	NUM
cana-1547	295	6	,	,	PUNCT
cana-1547	295	7	662674	662674	NUM
cana-1547	295	8	.	.	PUNCT
cana-1547	296	1	[	[	X
cana-1547	296	2	13	13	NUM
cana-1547	296	3	]	]	X
cana-1547	296	4	robson	robson	NOUN
cana-1547	296	5	,	,	PUNCT
cana-1547	296	6	b.	b.	PROPN
cana-1547	296	7	(	(	PUNCT
cana-1547	296	8	2020	2020	NUM
cana-1547	296	9	)	)	PUNCT
cana-1547	296	10	.	.	PUNCT
cana-1547	297	1	computers	computer	NOUN
cana-1547	297	2	and	and	CCONJ
cana-1547	297	3	viral	viral	ADJ
cana-1547	297	4	diseases.preliminary	diseases.preliminary	ADJ
cana-1547	297	5	bioinformatics	bioinformatics	NOUN
cana-1547	297	6	studies	study	NOUN
cana-1547	297	7	on	on	ADP
cana-1547	297	8	the	the	DET
cana-1547	297	9	design	design	NOUN
cana-1547	297	10	of	of	ADP
cana-1547	297	11	a	a	DET
cana-1547	297	12	synthetic	synthetic	ADJ
cana-1547	297	13	vaccine	vaccine	NOUN
cana-1547	297	14	and	and	CCONJ
cana-1547	297	15	a	a	DET
cana-1547	297	16	preventative	preventative	ADJ
cana-1547	297	17	peptidomimetic	peptidomimetic	NOUN
cana-1547	297	18	antagonist	antagonist	NOUN
cana-1547	297	19	against	against	ADP
cana-1547	297	20	the	the	DET
cana-1547	297	21	sars	sar	NOUN
cana-1547	297	22	-	-	PUNCT
cana-1547	297	23	cov-2	cov-2	PART
cana-1547	297	24	(	(	PUNCT
cana-1547	297	25	2019	2019	NUM
cana-1547	297	26	-	-	PUNCT
cana-1547	297	27	ncov	ncov	NOUN
cana-1547	297	28	,	,	PUNCT
cana-1547	297	29	covid-19	covid-19	PROPN
cana-1547	297	30	)	)	PUNCT
cana-1547	297	31	coronavirus	coronavirus	NOUN
cana-1547	297	32	.	.	PUNCT
cana-1547	298	1	computers	computer	NOUN
cana-1547	298	2	in	in	ADP
cana-1547	298	3	biology	biology	NOUN
cana-1547	298	4	and	and	CCONJ
cana-1547	298	5	medicine	medicine	NOUN
cana-1547	298	6	,	,	PUNCT
cana-1547	298	7	119	119	NUM
cana-1547	298	8	,	,	PUNCT
cana-1547	298	9	103670	103670	NUM
cana-1547	298	10	.	.	PUNCT
cana-1547	299	1	[	[	X
cana-1547	299	2	14	14	NUM
cana-1547	299	3	]	]	X
cana-1547	299	4	buragga	buragga	PROPN
cana-1547	299	5	,	,	PUNCT
cana-1547	299	6	k.	k.	PROPN
cana-1547	299	7	a.	a.	PROPN
cana-1547	299	8	,	,	PUNCT
cana-1547	299	9	aljahdali	aljahdali	PROPN
cana-1547	299	10	,	,	PUNCT
cana-1547	299	11	s.	s.	PROPN
cana-1547	299	12	,	,	PUNCT
cana-1547	299	13	&	&	CCONJ
cana-1547	299	14	sarhan	sarhan	PROPN
cana-1547	299	15	,	,	PUNCT
cana-1547	299	16	a.	a.	NOUN
cana-1547	299	17	m.	m.	NOUN
cana-1547	299	18	(	(	PUNCT
cana-1547	299	19	2015	2015	NUM
cana-1547	299	20	)	)	PUNCT
cana-1547	299	21	.	.	PUNCT
cana-1547	300	1	an	an	DET
cana-1547	300	2	efficient	efficient	ADJ
cana-1547	300	3	technique	technique	NOUN
cana-1547	300	4	for	for	ADP
cana-1547	300	5	iris	iris	NOUN
cana-1547	300	6	recognition	recognition	NOUN
cana-1547	300	7	using	use	VERB
cana-1547	300	8	wavelets	wavelet	NOUN
cana-1547	300	9	and	and	CCONJ
cana-1547	300	10	artificial	artificial	ADJ
cana-1547	300	11	neural	neural	ADJ
cana-1547	300	12	networks	network	NOUN
cana-1547	300	13	.	.	PUNCT
cana-1547	301	1	in	in	ADP
cana-1547	301	2	proceedings	proceeding	NOUN
cana-1547	301	3	of	of	ADP
cana-1547	301	4	cata	cata	NOUN
cana-1547	301	5	.	.	PUNCT
cana-1547	302	1	[	[	X
cana-1547	302	2	15	15	NUM
cana-1547	302	3	]	]	X
cana-1547	302	4	gurbina	gurbina	NOUN
cana-1547	302	5	,	,	PUNCT
cana-1547	302	6	m.	m.	NOUN
cana-1547	302	7	,	,	PUNCT
cana-1547	302	8	lascu	lascu	PROPN
cana-1547	302	9	,	,	PUNCT
cana-1547	302	10	m.	m.	NOUN
cana-1547	302	11	,	,	PUNCT
cana-1547	302	12	&	&	CCONJ
cana-1547	302	13	lascu	lascu	PROPN
cana-1547	302	14	,	,	PUNCT
cana-1547	302	15	d.	d.	PROPN
cana-1547	302	16	(	(	PUNCT
cana-1547	302	17	2019	2019	NUM
cana-1547	302	18	,	,	PUNCT
cana-1547	302	19	july).tumor	july).tumor	NOUN
cana-1547	302	20	detection	detection	NOUN
cana-1547	302	21	and	and	CCONJ
cana-1547	302	22	classification	classification	NOUN
cana-1547	302	23	of	of	ADP
cana-1547	302	24	mri	mri	NOUN
cana-1547	302	25	brain	brain	NOUN
cana-1547	302	26	image	image	NOUN
cana-1547	302	27	using	use	VERB
cana-1547	302	28	different	different	ADJ
cana-1547	302	29	wavelet	wavelet	NOUN
cana-1547	302	30	transforms	transform	VERB
cana-1547	302	31	and	and	CCONJ
cana-1547	302	32	support	support	VERB
cana-1547	302	33	vector	vector	NOUN
cana-1547	302	34	machines.in	machines.in	NUM
cana-1547	302	35	2019	2019	NUM
cana-1547	302	36	42nd	42nd	NOUN
cana-1547	302	37	international	international	ADJ
cana-1547	302	38	conference	conference	NOUN
cana-1547	302	39	on	on	ADP
cana-1547	302	40	telecommunications	telecommunication	NOUN
cana-1547	302	41	and	and	CCONJ
cana-1547	302	42	signal	signal	NOUN
cana-1547	302	43	processing	processing	NOUN
cana-1547	302	44	(	(	PUNCT
cana-1547	302	45	tsp	tsp	NOUN
cana-1547	302	46	)	)	PUNCT
cana-1547	302	47	(	(	PUNCT
cana-1547	302	48	pp	pp	X
cana-1547	302	49	.	.	PUNCT
cana-1547	303	1	505	505	NUM
cana-1547	303	2	-	-	SYM
cana-1547	303	3	508).ieee	508).ieee	NUM
cana-1547	303	4	.	.	PUNCT
cana-1547	304	1	[	[	X
cana-1547	304	2	16	16	NUM
cana-1547	304	3	]	]	X
cana-1547	304	4	maulik	maulik	NOUN
cana-1547	304	5	,	,	PUNCT
cana-1547	304	6	u.	u.	PROPN
cana-1547	304	7	,	,	PUNCT
cana-1547	304	8	&	&	CCONJ
cana-1547	304	9	chakraborty	chakraborty	PROPN
cana-1547	304	10	,	,	PUNCT
cana-1547	304	11	d.	d.	PROPN
cana-1547	304	12	(	(	PUNCT
cana-1547	304	13	2014).fuzzy	2014).fuzzy	NUM
cana-1547	304	14	preference	preference	NOUN
cana-1547	304	15	based	base	VERB
cana-1547	304	16	feature	feature	NOUN
cana-1547	304	17	selection	selection	NOUN
cana-1547	304	18	and	and	CCONJ
cana-1547	304	19	semisupervised	semisupervise	VERB
cana-1547	304	20	svm	svm	NOUN
cana-1547	304	21	for	for	ADP
cana-1547	304	22	cancer	cancer	NOUN
cana-1547	304	23	classification	classification	NOUN
cana-1547	304	24	.	.	PUNCT
cana-1547	305	1	ieee	ieee	NOUN
cana-1547	305	2	transactions	transaction	NOUN
cana-1547	305	3	on	on	ADP
cana-1547	305	4	nanobioscience	nanobioscience	NOUN
cana-1547	305	5	,	,	PUNCT
cana-1547	305	6	13(2	13(2	PROPN
cana-1547	305	7	)	)	PUNCT
cana-1547	305	8	,	,	PUNCT
cana-1547	305	9	152	152	NUM
cana-1547	305	10	-	-	SYM
cana-1547	305	11	160	160	NUM
cana-1547	305	12	.	.	PUNCT
cana-1547	306	1	[	[	X
cana-1547	306	2	17	17	NUM
cana-1547	306	3	]	]	SYM
cana-1547	306	4	bahadure	bahadure	NOUN
cana-1547	306	5	,	,	PUNCT
cana-1547	306	6	n.	n.	PROPN
cana-1547	306	7	b.	b.	PROPN
cana-1547	306	8	,	,	PUNCT
cana-1547	306	9	ray	ray	PROPN
cana-1547	306	10	,	,	PUNCT
cana-1547	306	11	a.	a.	PROPN
cana-1547	306	12	k.	k.	PROPN
cana-1547	306	13	,	,	PUNCT
cana-1547	306	14	&	&	CCONJ
cana-1547	306	15	thethi	thethi	PROPN
cana-1547	306	16	,	,	PUNCT
cana-1547	306	17	h.	h.	PROPN
cana-1547	306	18	p.	p.	PROPN
cana-1547	306	19	(	(	PUNCT
cana-1547	306	20	2018).comparative	2018).comparative	NUM
cana-1547	306	21	approach	approach	NOUN
cana-1547	306	22	of	of	ADP
cana-1547	306	23	mri	mri	NOUN
cana-1547	306	24	-	-	PUNCT
cana-1547	306	25	based	base	VERB
cana-1547	306	26	brain	brain	NOUN
cana-1547	306	27	tumor	tumor	NOUN
cana-1547	306	28	segmentation	segmentation	NOUN
cana-1547	306	29	and	and	CCONJ
cana-1547	306	30	classification	classification	NOUN
cana-1547	306	31	using	use	VERB
cana-1547	306	32	genetic	genetic	ADJ
cana-1547	306	33	algorithm	algorithm	NOUN
cana-1547	306	34	.	.	PUNCT
cana-1547	307	1	journal	journal	PROPN
cana-1547	307	2	of	of	ADP
cana-1547	307	3	digital	digital	ADJ
cana-1547	307	4	imaging	imaging	NOUN
cana-1547	307	5	,	,	PUNCT
cana-1547	307	6	31(4	31(4	NUM
cana-1547	307	7	)	)	PUNCT
cana-1547	307	8	,	,	PUNCT
cana-1547	307	9	477	477	NUM
cana-1547	307	10	-	-	SYM
cana-1547	307	11	489	489	NUM
cana-1547	307	12	.	.	PUNCT
cana-1547	308	1	[	[	X
cana-1547	308	2	18	18	NUM
cana-1547	308	3	]	]	X
cana-1547	308	4	kumar	kumar	PROPN
cana-1547	308	5	,	,	PUNCT
cana-1547	308	6	sanjay	sanjay	PROPN
cana-1547	308	7	,	,	PUNCT
cana-1547	308	8	naresh	naresh	PROPN
cana-1547	308	9	kumar	kumar	PROPN
cana-1547	308	10	,	,	PUNCT
cana-1547	308	11	inderpreet	inderpreet	ADJ
cana-1547	308	12	kaur	kaur	PROPN
cana-1547	308	13	rishabh	rishabh	PROPN
cana-1547	308	14	,	,	PUNCT
cana-1547	308	15	and	and	CCONJ
cana-1547	308	16	vivek	vivek	PROPN
cana-1547	308	17	keshari	keshari	PROPN
cana-1547	308	18	.	.	PUNCT
cana-1547	309	1	"	"	PUNCT
cana-1547	309	2	automated	automate	VERB
cana-1547	309	3	brain	brain	NOUN
cana-1547	309	4	tumour	tumour	NOUN
cana-1547	309	5	detection	detection	NOUN
cana-1547	309	6	using	use	VERB
cana-1547	309	7	deep	deep	ADJ
cana-1547	309	8	learning	learning	NOUN
cana-1547	309	9	via	via	ADP
cana-1547	309	10	convolution	convolution	NOUN
cana-1547	309	11	neural	neural	ADJ
cana-1547	309	12	networks	network	NOUN
cana-1547	309	13	(	(	PUNCT
cana-1547	309	14	cnn	cnn	PROPN
cana-1547	309	15	)	)	PUNCT
cana-1547	309	16	.	.	PUNCT
cana-1547	309	17	"	"	PUNCT
cana-1547	310	1	int	int	NOUN
cana-1547	310	2	.	.	PUNCT
cana-1547	311	1	j.	j.	PROPN
cana-1547	311	2	cur	cur	PROPN
cana-1547	311	3	.	.	PUNCT
cana-1547	312	1	res	re	NOUN
cana-1547	312	2	.	.	PUNCT
cana-1547	313	1	rev	rev	PROPN
cana-1547	313	2	13	13	NUM
cana-1547	313	3	,	,	PUNCT
cana-1547	313	4	no	no	INTJ
cana-1547	313	5	.	.	PROPN
cana-1547	313	6	02	02	NUM
cana-1547	313	7	(	(	PUNCT
cana-1547	313	8	2021	2021	NUM
cana-1547	313	9	):	):	PUNCT
cana-1547	313	10	148	148	NUM
cana-1547	313	11	.	.	PUNCT
cana-1547	314	1	[	[	X
cana-1547	314	2	19	19	NUM
cana-1547	314	3	]	]	X
cana-1547	314	4	kumar	kumar	PROPN
cana-1547	314	5	,	,	PUNCT
cana-1547	314	6	sanjay	sanjay	PROPN
cana-1547	314	7	,	,	PUNCT
cana-1547	314	8	jitender	jitender	PROPN
cana-1547	314	9	nath	nath	PROPN
cana-1547	314	10	singh	singh	PROPN
cana-1547	314	11	,	,	PUNCT
cana-1547	314	12	and	and	CCONJ
cana-1547	314	13	naresh	naresh	PROPN
cana-1547	314	14	kumar	kumar	PROPN
cana-1547	314	15	.	.	PUNCT
cana-1547	315	1	"	"	PUNCT
cana-1547	315	2	an	an	DET
cana-1547	315	3	amalgam	amalgam	NOUN
cana-1547	315	4	method	method	NOUN
cana-1547	315	5	efficient	efficient	ADJ
cana-1547	315	6	for	for	ADP
cana-1547	315	7	finding	finding	NOUN
cana-1547	315	8	of	of	ADP
cana-1547	315	9	cancer	cancer	NOUN
cana-1547	315	10	gene	gene	NOUN
cana-1547	315	11	using	use	VERB
cana-1547	315	12	csc	csc	PROPN
cana-1547	315	13	from	from	ADP
cana-1547	315	14	micro	micro	PROPN
cana-1547	315	15	array	array	PROPN
cana-1547	315	16	data	datum	NOUN
cana-1547	315	17	.	.	PUNCT
cana-1547	315	18	"	"	PUNCT
cana-1547	316	1	international	international	ADJ
cana-1547	316	2	journal	journal	NOUN
cana-1547	316	3	on	on	ADP
cana-1547	316	4	emerging	emerge	VERB
cana-1547	316	5	technologies	technology	NOUN
cana-1547	316	6	11	11	NUM
cana-1547	316	7	,	,	PUNCT
cana-1547	316	8	no	no	INTJ
cana-1547	316	9	.	.	NOUN
cana-1547	316	10	3	3	NUM
cana-1547	316	11	(	(	PUNCT
cana-1547	316	12	2020	2020	NUM
cana-1547	316	13	):	):	PUNCT
cana-1547	316	14	207	207	NUM
cana-1547	316	15	-	-	SYM
cana-1547	316	16	211	211	NUM
cana-1547	316	17	.	.	PUNCT
cana-1547	317	1	[	[	X
cana-1547	317	2	20	20	NUM
cana-1547	317	3	]	]	SYM
cana-1547	317	4	kumar	kumar	PROPN
cana-1547	317	5	,	,	PUNCT
cana-1547	317	6	s.	s.	PROPN
cana-1547	317	7	,	,	PUNCT
cana-1547	317	8	negi	negi	PROPN
cana-1547	317	9	,	,	PUNCT
cana-1547	317	10	a.	a.	PROPN
cana-1547	317	11	,	,	PUNCT
cana-1547	317	12	singh	singh	PROPN
cana-1547	317	13	,	,	PUNCT
cana-1547	317	14	j.n	j.n	PROPN
cana-1547	317	15	.	.	PROPN
cana-1547	317	16	(	(	PUNCT
cana-1547	317	17	2019	2019	NUM
cana-1547	317	18	)	)	PUNCT
cana-1547	317	19	.	.	PUNCT
cana-1547	318	1	semantic	semantic	ADJ
cana-1547	318	2	segmentation	segmentation	NOUN
cana-1547	318	3	using	use	VERB
cana-1547	318	4	deep	deep	ADJ
cana-1547	318	5	learning	learning	NOUN
cana-1547	318	6	for	for	ADP
cana-1547	318	7	brain	brain	NOUN
cana-1547	318	8	tumor	tumor	NOUN
cana-1547	318	9	mri	mri	NOUN
cana-1547	318	10	via	via	ADP
cana-1547	318	11	fully	fully	ADV
cana-1547	318	12	convolution	convolution	VERB
cana-1547	318	13	neural	neural	ADJ
cana-1547	318	14	networks	network	NOUN
cana-1547	318	15	.	.	PUNCT
cana-1547	319	1	in	in	ADP
cana-1547	319	2	:	:	PUNCT
cana-1547	319	3	satapathy	satapathy	ADJ
cana-1547	319	4	,	,	PUNCT
cana-1547	319	5	s.	s.	PROPN
cana-1547	319	6	,	,	PUNCT
cana-1547	319	7	joshi	joshi	PROPN
cana-1547	319	8	,	,	PUNCT
cana-1547	319	9	a.	a.	PROPN
cana-1547	319	10	(	(	PUNCT
cana-1547	319	11	eds	eds	PROPN
cana-1547	319	12	)	)	PUNCT
cana-1547	319	13	information	information	NOUN
cana-1547	319	14	and	and	CCONJ
cana-1547	319	15	[	[	X
cana-1547	319	16	21	21	NUM
cana-1547	319	17	]	]	PUNCT
cana-1547	319	18	communication	communication	NOUN
cana-1547	319	19	technology	technology	NOUN
cana-1547	319	20	for	for	ADP
cana-1547	319	21	intelligent	intelligent	ADJ
cana-1547	319	22	systems	system	NOUN
cana-1547	319	23	.	.	PUNCT
cana-1547	320	1	smart	smart	ADJ
cana-1547	320	2	innovation	innovation	NOUN
cana-1547	320	3	,	,	PUNCT
cana-1547	320	4	systems	system	NOUN
cana-1547	320	5	and	and	CCONJ
cana-1547	320	6	technologies	technology	NOUN
cana-1547	320	7	,	,	PUNCT
cana-1547	320	8	vol	vol	NOUN
cana-1547	320	9	106	106	NUM
cana-1547	320	10	.	.	PUNCT
cana-1547	320	11	springer	springer	NOUN
cana-1547	320	12	,	,	PUNCT
cana-1547	320	13	singapore	singapore	PROPN
cana-1547	320	14	.	.	PUNCT
cana-1547	321	1	https://doi.org/10.1007/978-981-13-1742-2_2	https://doi.org/10.1007/978-981-13-1742-2_2	X
cana-1547	322	1	[	[	X
cana-1547	322	2	22	22	NUM
cana-1547	322	3	]	]	X
cana-1547	322	4	kumar	kumar	PROPN
cana-1547	322	5	,	,	PUNCT
cana-1547	322	6	sanjay	sanjay	PROPN
cana-1547	322	7	,	,	PUNCT
cana-1547	322	8	ashish	ashish	PROPN
cana-1547	322	9	negi	negi	PROPN
cana-1547	322	10	,	,	PUNCT
cana-1547	322	11	j.	j.	PROPN
cana-1547	322	12	n.	n.	PROPN
cana-1547	322	13	singh	singh	PROPN
cana-1547	322	14	,	,	PUNCT
cana-1547	322	15	and	and	CCONJ
cana-1547	322	16	amit	amit	PROPN
cana-1547	322	17	gaurav	gaurav	PROPN
cana-1547	322	18	.	.	PUNCT
cana-1547	323	1	"	"	PUNCT
cana-1547	323	2	brain	brain	NOUN
cana-1547	323	3	tumor	tumor	NOUN
cana-1547	323	4	segmentation	segmentation	NOUN
cana-1547	323	5	and	and	CCONJ
cana-1547	323	6	classification	classification	NOUN
cana-1547	323	7	using	use	VERB
cana-1547	323	8	mri	mri	NOUN
cana-1547	323	9	images	image	NOUN
cana-1547	323	10	via	via	ADP
cana-1547	323	11	fully	fully	ADV
cana-1547	323	12	convolution	convolution	VERB
cana-1547	323	13	neural	neural	ADJ
cana-1547	323	14	networks	network	NOUN
cana-1547	323	15	.	.	PUNCT
cana-1547	323	16	"	"	PUNCT
cana-1547	324	1	in	in	ADP
cana-1547	324	2	2018	2018	NUM
cana-1547	324	3	international	international	ADJ
cana-1547	324	4	conference	conference	NOUN
cana-1547	324	5	on	on	ADP
cana-1547	324	6	advances	advance	NOUN
cana-1547	324	7	in	in	ADP
cana-1547	324	8	computing	computing	NOUN
cana-1547	324	9	,	,	PUNCT
cana-1547	324	10	communication	communication	NOUN
cana-1547	324	11	control	control	NOUN
cana-1547	324	12	and	and	CCONJ
cana-1547	324	13	networking	networking	NOUN
cana-1547	324	14	(	(	PUNCT
cana-1547	324	15	icacccn	icacccn	PROPN
cana-1547	324	16	)	)	PUNCT
cana-1547	324	17	,	,	PUNCT
cana-1547	324	18	pp	pp	ADJ
cana-1547	324	19	.	.	PUNCT
cana-1547	324	20	1178	1178	NUM
cana-1547	324	21	-	-	SYM
cana-1547	324	22	1181	1181	NUM
cana-1547	324	23	.	.	PUNCT
cana-1547	324	24	ieee	ieee	NOUN
cana-1547	324	25	,	,	PUNCT
cana-1547	324	26	2018	2018	NUM
cana-1547	324	27	.	.	PUNCT
cana-1547	325	1	[	[	X
cana-1547	325	2	23	23	NUM
cana-1547	325	3	]	]	X
cana-1547	325	4	g.	g.	PROPN
cana-1547	325	5	eason	eason	PROPN
cana-1547	325	6	,	,	PUNCT
cana-1547	325	7	b.	b.	PROPN
cana-1547	325	8	noble	noble	PROPN
cana-1547	325	9	,	,	PUNCT
cana-1547	325	10	and	and	CCONJ
cana-1547	325	11	i.	i.	PROPN
cana-1547	325	12	n.	n.	PROPN
cana-1547	325	13	sneddon	sneddon	PROPN
cana-1547	325	14	,	,	PUNCT
cana-1547	325	15	“	"	PUNCT
cana-1547	325	16	on	on	ADP
cana-1547	325	17	certain	certain	ADJ
cana-1547	325	18	integrals	integral	NOUN
cana-1547	325	19	of	of	ADP
cana-1547	325	20	lipschitz	lipschitz	NOUN
cana-1547	325	21	-	-	PUNCT
cana-1547	325	22	hankel	hankel	NOUN
cana-1547	325	23	type	type	NOUN
cana-1547	325	24	involving	involve	VERB
cana-1547	325	25	products	product	NOUN
cana-1547	325	26	of	of	ADP
cana-1547	325	27	bessel	bessel	NOUN
cana-1547	325	28	functions	function	NOUN
cana-1547	325	29	,	,	PUNCT
cana-1547	325	30	”	"	PUNCT
cana-1547	325	31	phil	phil	NOUN
cana-1547	325	32	.	.	PUNCT
cana-1547	326	1	trans	trans	PROPN
cana-1547	326	2	.	.	PROPN
cana-1547	327	1	roy	roy	PROPN
cana-1547	327	2	.	.	PROPN
cana-1547	327	3	soc	soc	PROPN
cana-1547	327	4	.	.	PUNCT
cana-1547	328	1	london	london	PROPN
cana-1547	328	2	,	,	PUNCT
cana-1547	328	3	vol	vol	NOUN
cana-1547	328	4	.	.	PUNCT
cana-1547	329	1	a247	a247	NUM
cana-1547	329	2	,	,	PUNCT
cana-1547	329	3	pp	pp	ADJ
cana-1547	329	4	.	.	PUNCT
cana-1547	330	1	529–551	529–551	NUM
cana-1547	330	2	,	,	PUNCT
cana-1547	330	3	april	april	PROPN
cana-1547	330	4	1955	1955	NUM
cana-1547	330	5	.	.	PUNCT
cana-1547	331	1	(	(	PUNCT
cana-1547	331	2	references	reference	NOUN
cana-1547	331	3	)	)	PUNCT
cana-1547	332	1	[	[	X
cana-1547	332	2	24	24	NUM
cana-1547	332	3	]	]	PUNCT
cana-1547	332	4	j.	j.	PROPN
cana-1547	332	5	clerk	clerk	PROPN
cana-1547	332	6	maxwell	maxwell	PROPN
cana-1547	332	7	,	,	PUNCT
cana-1547	332	8	a	a	DET
cana-1547	332	9	treatise	treatise	NOUN
cana-1547	332	10	on	on	ADP
cana-1547	332	11	electricity	electricity	NOUN
cana-1547	332	12	and	and	CCONJ
cana-1547	332	13	magnetism	magnetism	NOUN
cana-1547	332	14	,	,	PUNCT
cana-1547	332	15	3rd	3rd	ADJ
cana-1547	332	16	ed	ed	NOUN
cana-1547	332	17	.	.	PUNCT
cana-1547	332	18	,	,	PUNCT
cana-1547	332	19	vol	vol	NOUN
cana-1547	332	20	.	.	PROPN
cana-1547	333	1	2	2	NUM
cana-1547	333	2	.	.	X
cana-1547	333	3	oxford	oxford	PROPN
cana-1547	333	4	:	:	PUNCT
cana-1547	333	5	clarendon	clarendon	PROPN
cana-1547	333	6	,	,	PUNCT
cana-1547	333	7	1892	1892	NUM
cana-1547	333	8	,	,	PUNCT
cana-1547	333	9	pp.68–73	pp.68–73	X
cana-1547	333	10	.	.	PUNCT
cana-1547	334	1	[	[	X
cana-1547	334	2	25	25	NUM
cana-1547	334	3	]	]	PUNCT
cana-1547	334	4	i.	i.	PROPN
cana-1547	334	5	s.	s.	PROPN
cana-1547	334	6	jacobs	jacobs	PROPN
cana-1547	334	7	and	and	CCONJ
cana-1547	334	8	c.	c.	PROPN
cana-1547	334	9	p.	p.	PROPN
cana-1547	334	10	bean	bean	NOUN
cana-1547	334	11	,	,	PUNCT
cana-1547	334	12	“	"	PUNCT
cana-1547	334	13	fine	fine	ADJ
cana-1547	334	14	particles	particle	NOUN
cana-1547	334	15	,	,	PUNCT
cana-1547	334	16	thin	thin	ADJ
cana-1547	334	17	films	film	NOUN
cana-1547	334	18	and	and	CCONJ
cana-1547	334	19	exchange	exchange	NOUN
cana-1547	334	20	anisotropy	anisotropy	NOUN
cana-1547	334	21	,	,	PUNCT
cana-1547	334	22	”	"	PUNCT
cana-1547	334	23	in	in	ADP
cana-1547	334	24	magnetism	magnetism	NOUN
cana-1547	334	25	,	,	PUNCT
cana-1547	334	26	vol	vol	NOUN
cana-1547	334	27	.	.	PUNCT
cana-1547	334	28	iii	iii	PROPN
cana-1547	334	29	,	,	PUNCT
cana-1547	334	30	g.	g.	PROPN
cana-1547	334	31	t.	t.	PROPN
cana-1547	334	32	rado	rado	PROPN
cana-1547	334	33	and	and	CCONJ
cana-1547	334	34	h.	h.	PROPN
cana-1547	334	35	suhl	suhl	PROPN
cana-1547	334	36	,	,	PUNCT
cana-1547	334	37	eds	eds	PROPN
cana-1547	334	38	.	.	PUNCT
cana-1547	334	39	new	new	PROPN
cana-1547	334	40	york	york	PROPN
cana-1547	334	41	:	:	PUNCT
cana-1547	334	42	academic	academic	ADJ
cana-1547	334	43	,	,	PUNCT
cana-1547	334	44	1963	1963	NUM
cana-1547	334	45	,	,	PUNCT
cana-1547	334	46	pp	pp	ADJ
cana-1547	334	47	.	.	PUNCT
cana-1547	335	1	271–350	271–350	NUM
cana-1547	335	2	.	.	PUNCT
cana-1547	336	1	[	[	X
cana-1547	336	2	26	26	NUM
cana-1547	336	3	]	]	PUNCT
cana-1547	336	4	k.	k.	PROPN
cana-1547	336	5	elissa	elissa	PROPN
cana-1547	336	6	,	,	PUNCT
cana-1547	336	7	“	"	PUNCT
cana-1547	336	8	title	title	NOUN
cana-1547	336	9	of	of	ADP
cana-1547	336	10	paper	paper	NOUN
cana-1547	336	11	if	if	SCONJ
cana-1547	336	12	known	know	VERB
cana-1547	336	13	,	,	PUNCT
cana-1547	336	14	”	"	PUNCT
cana-1547	336	15	unpublished	unpublished	ADJ
cana-1547	336	16	.	.	PUNCT
cana-1547	337	1	[	[	X
cana-1547	337	2	27	27	NUM
cana-1547	337	3	]	]	X
cana-1547	337	4	r.	r.	PROPN
cana-1547	337	5	nicole	nicole	PROPN
cana-1547	337	6	,	,	PUNCT
cana-1547	337	7	“	"	PUNCT
cana-1547	337	8	title	title	NOUN
cana-1547	337	9	of	of	ADP
cana-1547	337	10	paper	paper	NOUN
cana-1547	337	11	with	with	ADP
cana-1547	337	12	only	only	ADJ
cana-1547	337	13	first	first	ADJ
cana-1547	337	14	word	word	NOUN
cana-1547	337	15	capitalized	capitalize	VERB
cana-1547	337	16	,	,	PUNCT
cana-1547	337	17	”	"	PUNCT
cana-1547	337	18	j.	j.	PROPN
cana-1547	337	19	name	name	PROPN
cana-1547	337	20	stand	stand	PROPN
cana-1547	337	21	.	.	PUNCT
cana-1547	338	1	abbrev	abbrev	PROPN
cana-1547	338	2	.	.	PUNCT
cana-1547	338	3	,	,	PUNCT
cana-1547	338	4	in	in	ADP
cana-1547	338	5	press	press	NOUN
cana-1547	338	6	.	.	PUNCT
cana-1547	339	1	[	[	X
cana-1547	339	2	28	28	NUM
cana-1547	339	3	]	]	X
cana-1547	339	4	y.	y.	PROPN
cana-1547	339	5	yorozu	yorozu	PROPN
cana-1547	339	6	,	,	PUNCT
cana-1547	339	7	m.	m.	PROPN
cana-1547	339	8	hirano	hirano	PROPN
cana-1547	339	9	,	,	PUNCT
cana-1547	339	10	k.	k.	PROPN
cana-1547	339	11	oka	oka	PROPN
cana-1547	339	12	,	,	PUNCT
cana-1547	339	13	and	and	CCONJ
cana-1547	339	14	y.	y.	PROPN
cana-1547	339	15	tagawa	tagawa	PROPN
cana-1547	339	16	,	,	PUNCT
cana-1547	339	17	“	"	PUNCT
cana-1547	339	18	electron	electron	NOUN
cana-1547	339	19	spectroscopy	spectroscopy	NOUN
cana-1547	339	20	studies	study	NOUN
cana-1547	339	21	on	on	ADP
cana-1547	339	22	magneto	magneto	ADJ
cana-1547	339	23	-	-	PUNCT
cana-1547	339	24	optical	optical	ADJ
cana-1547	339	25	media	medium	NOUN
cana-1547	339	26	and	and	CCONJ
cana-1547	339	27	plastic	plastic	NOUN
cana-1547	339	28	substrate	substrate	NOUN
cana-1547	339	29	interface	interface	NOUN
cana-1547	339	30	,	,	PUNCT
cana-1547	339	31	”	"	PUNCT
cana-1547	339	32	ieee	ieee	NOUN
cana-1547	339	33	transl	transl	PROPN
cana-1547	339	34	.	.	PUNCT
cana-1547	340	1	j.	j.	PROPN
cana-1547	340	2	magn	magn	PROPN
cana-1547	340	3	.	.	PUNCT
cana-1547	341	1	japan	japan	PROPN
cana-1547	341	2	,	,	PUNCT
cana-1547	341	3	vol	vol	NOUN
cana-1547	341	4	.	.	PROPN
cana-1547	341	5	2	2	NUM
cana-1547	341	6	,	,	PUNCT
cana-1547	341	7	pp	pp	ADJ
cana-1547	341	8	.	.	PUNCT
cana-1547	342	1	740–741	740–741	NUM
cana-1547	342	2	,	,	PUNCT
cana-1547	342	3	august	august	PROPN
cana-1547	342	4	1987	1987	NUM
cana-1547	342	5	[	[	X
cana-1547	342	6	digests	digest	VERB
cana-1547	342	7	9th	9th	ADJ
cana-1547	342	8	annual	annual	ADJ
cana-1547	342	9	conf	conf	NOUN
cana-1547	342	10	.	.	PUNCT
cana-1547	343	1	magnetics	magnetic	NOUN
cana-1547	343	2	japan	japan	PROPN
cana-1547	343	3	,	,	PUNCT
cana-1547	343	4	p.	p.	NOUN
cana-1547	343	5	301	301	NUM
cana-1547	343	6	,	,	PUNCT
cana-1547	343	7	1982	1982	NUM
cana-1547	343	8	]	]	PUNCT
cana-1547	343	9	.	.	PUNCT
cana-1547	344	1	[	[	X
cana-1547	344	2	29	29	NUM
cana-1547	344	3	]	]	X
cana-1547	344	4	m.	m.	NOUN
cana-1547	344	5	young	young	PROPN
cana-1547	344	6	,	,	PUNCT
cana-1547	344	7	the	the	DET
cana-1547	344	8	technical	technical	PROPN
cana-1547	344	9	writer	writer	NOUN
cana-1547	344	10	’s	’s	PART
cana-1547	344	11	handbook	handbook	NOUN
cana-1547	344	12	.	.	PUNCT
cana-1547	345	1	mill	mill	NOUN
cana-1547	345	2	valley	valley	PROPN
cana-1547	345	3	,	,	PUNCT
cana-1547	345	4	ca	ca	PROPN
cana-1547	345	5	:	:	PUNCT
cana-1547	345	6	university	university	NOUN
cana-1547	345	7	science	science	NOUN
cana-1547	345	8	,	,	PUNCT
cana-1547	345	9	1989	1989	NUM
cana-1547	345	10	.	.	PUNCT
cana-1547	346	1	https://doi.org/10.1007/978-981-13-1742-2_2	https://doi.org/10.1007/978-981-13-1742-2_2	NOUN