id	sid	tid	token	lemma	pos
cana-1240	1	1	communications	communication	NOUN
cana-1240	1	2	on	on	ADP
cana-1240	1	3	applied	apply	VERB
cana-1240	1	4	nonlinear	nonlinear	ADJ
cana-1240	1	5	analysis	analysis	NOUN
cana-1240	1	6	issn	issn	NOUN
cana-1240	1	7	:	:	PUNCT
cana-1240	1	8	1074	1074	NUM
cana-1240	1	9	-	-	PUNCT
cana-1240	1	10	133x	133x	NUM
cana-1240	1	11	vol	vol	NOUN
cana-1240	1	12	31	31	NUM
cana-1240	1	13	no	no	NOUN
cana-1240	1	14	.	.	PUNCT
cana-1240	2	1	6s	6s	NUM
cana-1240	2	2	(	(	PUNCT
cana-1240	2	3	2024	2024	NUM
cana-1240	2	4	)	)	PUNCT
cana-1240	2	5	499	499	NUM
cana-1240	2	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-1240	2	7	enhanced	enhanced	ADJ
cana-1240	2	8	lung	lung	NOUN
cana-1240	2	9	cancer	cancer	NOUN
cana-1240	2	10	detection	detection	NOUN
cana-1240	2	11	via	via	ADP
cana-1240	2	12	modified	modify	VERB
cana-1240	2	13	fuzzy	fuzzy	ADJ
cana-1240	2	14	analytic	analytic	ADJ
cana-1240	2	15	hierarchy	hierarchy	NOUN
cana-1240	2	16	process	process	NOUN
cana-1240	2	17	and	and	CCONJ
cana-1240	2	18	fuzsquresmobilenet	fuzsquresmobilenet	NOUN
cana-1240	2	19	a.aruna1	a.aruna1	PROPN
cana-1240	2	20	,	,	PUNCT
cana-1240	2	21	m.vijaya	m.vijaya	VERB
cana-1240	2	22	2	2	NUM
cana-1240	2	23	*	*	NOUN
cana-1240	2	24	,	,	PUNCT
cana-1240	2	25	1	1	NUM
cana-1240	2	26	research	research	NOUN
cana-1240	2	27	scholar	scholar	NOUN
cana-1240	2	28	,	,	PUNCT
cana-1240	2	29	department	department	NOUN
cana-1240	2	30	of	of	ADP
cana-1240	2	31	mathematics	mathematics	PROPN
cana-1240	2	32	,	,	PUNCT
cana-1240	2	33	marudupandiyar	marudupandiyar	PROPN
cana-1240	2	34	college	college	PROPN
cana-1240	2	35	,	,	PUNCT
cana-1240	2	36	thanjavur	thanjavur	PROPN
cana-1240	2	37	,	,	PUNCT
cana-1240	2	38	tamil	tamil	PROPN
cana-1240	2	39	nadu	nadu	NOUN
cana-1240	2	40	–	–	PUNCT
cana-1240	2	41	613403	613403	NUM
cana-1240	2	42	,	,	PUNCT
cana-1240	2	43	2	2	NUM
cana-1240	2	44	assistant	assistant	NOUN
cana-1240	2	45	professor	professor	NOUN
cana-1240	2	46	and	and	CCONJ
cana-1240	2	47	research	research	NOUN
cana-1240	2	48	advisor	advisor	NOUN
cana-1240	2	49	,	,	PUNCT
cana-1240	2	50	pg	pg	NOUN
cana-1240	2	51	and	and	CCONJ
cana-1240	2	52	research	research	PROPN
cana-1240	2	53	department	department	PROPN
cana-1240	2	54	of	of	ADP
cana-1240	2	55	mathematics	mathematics	PROPN
cana-1240	2	56	,	,	PUNCT
cana-1240	2	57	marudupandiyar	marudupandiyar	PROPN
cana-1240	2	58	college	college	PROPN
cana-1240	2	59	,	,	PUNCT
cana-1240	2	60	thanjavur	thanjavur	PROPN
cana-1240	2	61	,	,	PUNCT
cana-1240	2	62	tamil	tamil	PROPN
cana-1240	2	63	nadu	nadu	PROPN
cana-1240	2	64	613403	613403	NUM
cana-1240	2	65	arunjo.jo21@gmail.com	arunjo.jo21@gmail.com	X
cana-1240	2	66	,	,	PUNCT
cana-1240	2	67	mathvijaya23@gmail.com	mathvijaya23@gmail.com	PROPN
cana-1240	2	68	(	(	PUNCT
cana-1240	2	69	affiliated	affiliate	VERB
cana-1240	2	70	to	to	PART
cana-1240	2	71	bharathidasan	bharathidasan	VERB
cana-1240	2	72	university	university	NOUN
cana-1240	2	73	,	,	PUNCT
cana-1240	2	74	tiruchirappalli	tiruchirappalli	PROPN
cana-1240	2	75	)	)	PUNCT
cana-1240	3	1	*	*	PUNCT
cana-1240	3	2	corresponding	correspond	VERB
cana-1240	3	3	author	author	NOUN
cana-1240	3	4	article	article	NOUN
cana-1240	3	5	history	history	NOUN
cana-1240	3	6	:	:	PUNCT
cana-1240	3	7	received	receive	VERB
cana-1240	3	8	:	:	PUNCT
cana-1240	3	9	16	16	NUM
cana-1240	3	10	-	-	SYM
cana-1240	3	11	06	06	NUM
cana-1240	3	12	-	-	PUNCT
cana-1240	3	13	2024	2024	NUM
cana-1240	3	14	revised	revise	VERB
cana-1240	3	15	:	:	PUNCT
cana-1240	3	16	22	22	NUM
cana-1240	3	17	-	-	SYM
cana-1240	3	18	07	07	NUM
cana-1240	3	19	-	-	PUNCT
cana-1240	3	20	2024	2024	NUM
cana-1240	3	21	accepted	accept	VERB
cana-1240	3	22	:	:	PUNCT
cana-1240	3	23	05	05	NUM
cana-1240	3	24	-	-	SYM
cana-1240	3	25	08	08	NUM
cana-1240	3	26	-	-	PUNCT
cana-1240	3	27	2024	2024	NUM
cana-1240	3	28	abstract	abstract	NOUN
cana-1240	3	29	:	:	PUNCT
cana-1240	3	30	lung	lung	NOUN
cana-1240	3	31	cancer	cancer	NOUN
cana-1240	3	32	emphasizes	emphasize	VERB
cana-1240	3	33	the	the	DET
cana-1240	3	34	vital	vital	ADJ
cana-1240	3	35	need	need	NOUN
cana-1240	3	36	of	of	ADP
cana-1240	3	37	early	early	ADJ
cana-1240	3	38	detection	detection	NOUN
cana-1240	3	39	in	in	ADP
cana-1240	3	40	order	order	NOUN
cana-1240	3	41	to	to	PART
cana-1240	3	42	increase	increase	VERB
cana-1240	3	43	survival	survival	NOUN
cana-1240	3	44	rates	rate	NOUN
cana-1240	3	45	due	due	ADP
cana-1240	3	46	to	to	ADP
cana-1240	3	47	its	its	PRON
cana-1240	3	48	high	high	ADJ
cana-1240	3	49	incidence	incidence	NOUN
cana-1240	3	50	of	of	ADP
cana-1240	3	51	death	death	NOUN
cana-1240	3	52	worldwide	worldwide	ADV
cana-1240	3	53	.	.	PUNCT
cana-1240	4	1	an	an	DET
cana-1240	4	2	effective	effective	ADJ
cana-1240	4	3	methodology	methodology	NOUN
cana-1240	4	4	for	for	ADP
cana-1240	4	5	lung	lung	NOUN
cana-1240	4	6	cancer	cancer	NOUN
cana-1240	4	7	detection	detection	NOUN
cana-1240	4	8	is	be	AUX
cana-1240	4	9	proposed	propose	VERB
cana-1240	4	10	utilizing	utilize	VERB
cana-1240	4	11	the	the	DET
cana-1240	4	12	modified	modify	VERB
cana-1240	4	13	fuzzy	fuzzy	ADJ
cana-1240	4	14	analytic	analytic	ADJ
cana-1240	4	15	hierarchy	hierarchy	NOUN
cana-1240	4	16	process	process	NOUN
cana-1240	4	17	,	,	PUNCT
cana-1240	4	18	a	a	DET
cana-1240	4	19	hybrid	hybrid	ADJ
cana-1240	4	20	optimization	optimization	NOUN
cana-1240	4	21	algorithm	algorithm	NOUN
cana-1240	4	22	.	.	PUNCT
cana-1240	5	1	gaussian	gaussian	ADJ
cana-1240	5	2	filter	filter	NOUN
cana-1240	5	3	and	and	CCONJ
cana-1240	5	4	a	a	DET
cana-1240	5	5	modified	modify	VERB
cana-1240	5	6	contrast	contrast	NOUN
cana-1240	5	7	limited	limit	VERB
cana-1240	5	8	adaptive	adaptive	ADJ
cana-1240	5	9	histogram	histogram	NOUN
cana-1240	5	10	equalization	equalization	NOUN
cana-1240	5	11	(	(	PUNCT
cana-1240	5	12	clahe	clahe	PROPN
cana-1240	5	13	)	)	PUNCT
cana-1240	5	14	are	be	AUX
cana-1240	5	15	employed	employ	VERB
cana-1240	5	16	for	for	ADP
cana-1240	5	17	reliable	reliable	ADJ
cana-1240	5	18	pre	pre	NOUN
cana-1240	5	19	-	-	NOUN
cana-1240	5	20	processing	processing	ADJ
cana-1240	5	21	.	.	PUNCT
cana-1240	6	1	this	this	PRON
cana-1240	6	2	enhances	enhance	VERB
cana-1240	6	3	the	the	DET
cana-1240	6	4	image	image	NOUN
cana-1240	6	5	quality	quality	NOUN
cana-1240	6	6	and	and	CCONJ
cana-1240	6	7	facilitates	facilitate	VERB
cana-1240	6	8	additional	additional	ADJ
cana-1240	6	9	analysis	analysis	NOUN
cana-1240	6	10	.	.	PUNCT
cana-1240	7	1	a	a	DET
cana-1240	7	2	novel	novel	ADJ
cana-1240	7	3	hybrid	hybrid	ADJ
cana-1240	7	4	chimpgaz	chimpgaz	NOUN
cana-1240	7	5	optimization	optimization	NOUN
cana-1240	7	6	that	that	PRON
cana-1240	7	7	combines	combine	VERB
cana-1240	7	8	the	the	DET
cana-1240	7	9	optimizations	optimization	NOUN
cana-1240	7	10	of	of	ADP
cana-1240	7	11	gazelle	gazelle	NOUN
cana-1240	7	12	and	and	CCONJ
cana-1240	7	13	chimp	chimp	PROPN
cana-1240	7	14	is	be	AUX
cana-1240	7	15	employed	employ	VERB
cana-1240	7	16	to	to	PART
cana-1240	7	17	finetune	finetune	VERB
cana-1240	7	18	the	the	DET
cana-1240	7	19	mask	mask	NOUN
cana-1240	7	20	r	r	NOUN
cana-1240	7	21	-	-	PUNCT
cana-1240	7	22	cnn	cnn	PROPN
cana-1240	7	23	algorithm	algorithm	NOUN
cana-1240	7	24	for	for	ADP
cana-1240	7	25	region	region	NOUN
cana-1240	7	26	of	of	ADP
cana-1240	7	27	interest	interest	NOUN
cana-1240	7	28	(	(	PUNCT
cana-1240	7	29	roi	roi	NOUN
cana-1240	7	30	)	)	PUNCT
cana-1240	7	31	identification	identification	NOUN
cana-1240	7	32	.	.	PUNCT
cana-1240	8	1	this	this	PRON
cana-1240	8	2	guarantees	guarantee	VERB
cana-1240	8	3	ideal	ideal	ADJ
cana-1240	8	4	parameter	parameter	NOUN
cana-1240	8	5	configurations	configuration	NOUN
cana-1240	8	6	for	for	ADP
cana-1240	8	7	precise	precise	ADJ
cana-1240	8	8	roi	roi	NOUN
cana-1240	8	9	division	division	NOUN
cana-1240	8	10	.	.	PUNCT
cana-1240	9	1	a	a	DET
cana-1240	9	2	wide	wide	ADJ
cana-1240	9	3	range	range	NOUN
cana-1240	9	4	of	of	ADP
cana-1240	9	5	descriptors	descriptor	NOUN
cana-1240	9	6	are	be	AUX
cana-1240	9	7	used	use	VERB
cana-1240	9	8	in	in	ADP
cana-1240	9	9	feature	feature	NOUN
cana-1240	9	10	extraction	extraction	NOUN
cana-1240	9	11	,	,	PUNCT
cana-1240	9	12	such	such	ADJ
cana-1240	9	13	as	as	ADP
cana-1240	9	14	shape	shape	NOUN
cana-1240	9	15	features	feature	NOUN
cana-1240	9	16	(	(	PUNCT
cana-1240	9	17	area	area	NOUN
cana-1240	9	18	,	,	PUNCT
cana-1240	9	19	circularity	circularity	NOUN
cana-1240	9	20	,	,	PUNCT
cana-1240	9	21	and	and	CCONJ
cana-1240	9	22	perimeter	perimeter	NOUN
cana-1240	9	23	)	)	PUNCT
cana-1240	9	24	,	,	PUNCT
cana-1240	9	25	geometric	geometric	ADJ
cana-1240	9	26	features	feature	NOUN
cana-1240	9	27	(	(	PUNCT
cana-1240	9	28	centroid	centroid	NOUN
cana-1240	9	29	,	,	PUNCT
cana-1240	9	30	euler	euler	NOUN
cana-1240	9	31	number	number	NOUN
cana-1240	9	32	,	,	PUNCT
cana-1240	9	33	and	and	CCONJ
cana-1240	9	34	convexity	convexity	NOUN
cana-1240	9	35	)	)	PUNCT
cana-1240	9	36	,	,	PUNCT
cana-1240	9	37	color	color	NOUN
cana-1240	9	38	features	feature	NOUN
cana-1240	9	39	and	and	CCONJ
cana-1240	9	40	texture	texture	NOUN
cana-1240	9	41	features	feature	NOUN
cana-1240	9	42	(	(	PUNCT
cana-1240	9	43	local	local	ADJ
cana-1240	9	44	directional	directional	ADJ
cana-1240	9	45	patterns	pattern	NOUN
cana-1240	9	46	,	,	PUNCT
cana-1240	9	47	or	or	CCONJ
cana-1240	9	48	ldp	ldp	PROPN
cana-1240	9	49	,	,	PUNCT
cana-1240	9	50	and	and	CCONJ
cana-1240	9	51	gabor	gabor	PROPN
cana-1240	9	52	local	local	ADJ
cana-1240	9	53	binary	binary	NOUN
cana-1240	9	54	patterns	pattern	NOUN
cana-1240	9	55	,	,	PUNCT
cana-1240	9	56	or	or	CCONJ
cana-1240	9	57	glbp	glbp	ADJ
cana-1240	9	58	)	)	PUNCT
cana-1240	9	59	.	.	PUNCT
cana-1240	10	1	these	these	DET
cana-1240	10	2	features	feature	NOUN
cana-1240	10	3	are	be	AUX
cana-1240	10	4	ranked	rank	VERB
cana-1240	10	5	using	use	VERB
cana-1240	10	6	a	a	DET
cana-1240	10	7	modified	modify	VERB
cana-1240	10	8	fuzzy	fuzzy	ADJ
cana-1240	10	9	analytic	analytic	ADJ
cana-1240	10	10	hierarchy	hierarchy	NOUN
cana-1240	10	11	process	process	NOUN
cana-1240	10	12	(	(	PUNCT
cana-1240	10	13	ahp	ahp	NOUN
cana-1240	10	14	)	)	PUNCT
cana-1240	10	15	that	that	PRON
cana-1240	10	16	includes	include	VERB
cana-1240	10	17	sigmoid	sigmoid	NOUN
cana-1240	10	18	membership	membership	NOUN
cana-1240	10	19	functions	function	NOUN
cana-1240	10	20	customized	customize	VERB
cana-1240	10	21	for	for	ADP
cana-1240	10	22	every	every	DET
cana-1240	10	23	feature	feature	NOUN
cana-1240	10	24	.	.	PUNCT
cana-1240	11	1	the	the	DET
cana-1240	11	2	hybrid	hybrid	ADJ
cana-1240	11	3	optimization	optimization	NOUN
cana-1240	11	4	algorithm	algorithm	NOUN
cana-1240	11	5	improves	improve	VERB
cana-1240	11	6	membership	membership	NOUN
cana-1240	11	7	functions	function	NOUN
cana-1240	11	8	even	even	ADV
cana-1240	11	9	more	more	ADV
cana-1240	11	10	,	,	PUNCT
cana-1240	11	11	strengthening	strengthen	VERB
cana-1240	11	12	the	the	DET
cana-1240	11	13	ranking	rank	VERB
cana-1240	11	14	system	system	NOUN
cana-1240	11	15	's	's	PART
cana-1240	11	16	capacity	capacity	NOUN
cana-1240	11	17	for	for	ADP
cana-1240	11	18	discrimination	discrimination	NOUN
cana-1240	11	19	.	.	PUNCT
cana-1240	12	1	the	the	DET
cana-1240	12	2	proposed	propose	VERB
cana-1240	12	3	detection	detection	NOUN
cana-1240	12	4	model	model	NOUN
cana-1240	12	5	,	,	PUNCT
cana-1240	12	6	called	call	VERB
cana-1240	12	7	"	"	PUNCT
cana-1240	12	8	fuzsquresmobilenet	fuzsquresmobilenet	NOUN
cana-1240	12	9	,	,	PUNCT
cana-1240	12	10	"	"	PUNCT
cana-1240	12	11	combines	combine	VERB
cana-1240	12	12	a	a	DET
cana-1240	12	13	sophisticated	sophisticated	ADJ
cana-1240	12	14	ensemble	ensemble	NOUN
cana-1240	12	15	of	of	ADP
cana-1240	12	16	pre	pre	ADJ
cana-1240	12	17	-	-	ADJ
cana-1240	12	18	trained	train	VERB
cana-1240	12	19	deep	deep	ADJ
cana-1240	12	20	learning	learning	NOUN
cana-1240	12	21	models	model	NOUN
cana-1240	12	22	(	(	PUNCT
cana-1240	12	23	squeezenet	squeezenet	NOUN
cana-1240	12	24	,	,	PUNCT
cana-1240	12	25	resnet101	resnet101	PROPN
cana-1240	12	26	,	,	PUNCT
cana-1240	12	27	mobilenetv2	mobilenetv2	PROPN
cana-1240	12	28	)	)	PUNCT
cana-1240	12	29	with	with	ADP
cana-1240	12	30	fuzzy	fuzzy	ADJ
cana-1240	12	31	logic	logic	NOUN
cana-1240	12	32	-	-	PUNCT
cana-1240	12	33	based	base	VERB
cana-1240	12	34	preliminary	preliminary	ADJ
cana-1240	12	35	detection	detection	NOUN
cana-1240	12	36	.	.	PUNCT
cana-1240	13	1	overall	overall	ADJ
cana-1240	13	2	detection	detection	NOUN
cana-1240	13	3	accuracy	accuracy	NOUN
cana-1240	13	4	is	be	AUX
cana-1240	13	5	improved	improve	VERB
cana-1240	13	6	by	by	ADP
cana-1240	13	7	this	this	DET
cana-1240	13	8	fusion	fusion	NOUN
cana-1240	13	9	because	because	SCONJ
cana-1240	13	10	it	it	PRON
cana-1240	13	11	guarantees	guarantee	VERB
cana-1240	13	12	a	a	DET
cana-1240	13	13	thorough	thorough	ADJ
cana-1240	13	14	approach	approach	NOUN
cana-1240	13	15	to	to	ADP
cana-1240	13	16	feature	feature	NOUN
cana-1240	13	17	extraction	extraction	NOUN
cana-1240	13	18	.	.	PUNCT
cana-1240	14	1	through	through	ADP
cana-1240	14	2	incorporating	incorporate	VERB
cana-1240	14	3	fuzzy	fuzzy	ADJ
cana-1240	14	4	logic	logic	NOUN
cana-1240	14	5	and	and	CCONJ
cana-1240	14	6	deep	deep	ADJ
cana-1240	14	7	learning	learning	NOUN
cana-1240	14	8	,	,	PUNCT
cana-1240	14	9	the	the	DET
cana-1240	14	10	methodology	methodology	NOUN
cana-1240	14	11	provides	provide	VERB
cana-1240	14	12	a	a	DET
cana-1240	14	13	promising	promising	ADJ
cana-1240	14	14	avenue	avenue	NOUN
cana-1240	14	15	for	for	ADP
cana-1240	14	16	effective	effective	ADJ
cana-1240	14	17	and	and	CCONJ
cana-1240	14	18	precise	precise	ADJ
cana-1240	14	19	lung	lung	NOUN
cana-1240	14	20	cancer	cancer	NOUN
cana-1240	14	21	detection	detection	NOUN
cana-1240	14	22	,	,	PUNCT
cana-1240	14	23	contributing	contribute	VERB
cana-1240	14	24	to	to	ADP
cana-1240	14	25	early	early	ADJ
cana-1240	14	26	intervention	intervention	NOUN
cana-1240	14	27	and	and	CCONJ
cana-1240	14	28	improved	improve	VERB
cana-1240	14	29	patient	patient	ADJ
cana-1240	14	30	outcomes	outcome	NOUN
cana-1240	14	31	.	.	PUNCT
cana-1240	15	1	keywords	keyword	NOUN
cana-1240	15	2	:	:	PUNCT
cana-1240	15	3	lung	lung	NOUN
cana-1240	15	4	cancer	cancer	NOUN
cana-1240	15	5	,	,	PUNCT
cana-1240	15	6	clahe	clahe	PROPN
cana-1240	15	7	,	,	PUNCT
cana-1240	15	8	mask	mask	NOUN
cana-1240	15	9	r	r	NOUN
cana-1240	15	10	-	-	PUNCT
cana-1240	15	11	cnn	cnn	PROPN
cana-1240	15	12	,	,	PUNCT
cana-1240	15	13	chimpgaz	chimpgaz	NOUN
cana-1240	15	14	optimization	optimization	NOUN
cana-1240	15	15	,	,	PUNCT
cana-1240	15	16	modified	modify	VERB
cana-1240	15	17	fuzzy	fuzzy	ADJ
cana-1240	15	18	analytic	analytic	ADJ
cana-1240	15	19	hierarchy	hierarchy	NOUN
cana-1240	15	20	process	process	NOUN
cana-1240	15	21	and	and	CCONJ
cana-1240	15	22	gabor	gabor	PROPN
cana-1240	15	23	local	local	ADJ
cana-1240	15	24	binary	binary	NOUN
cana-1240	15	25	patterns	pattern	NOUN
cana-1240	15	26	.	.	PUNCT
cana-1240	16	1	1	1	X
cana-1240	16	2	.	.	X
cana-1240	16	3	introduction	introduction	NOUN
cana-1240	16	4	in	in	ADP
cana-1240	16	5	the	the	DET
cana-1240	16	6	world	world	NOUN
cana-1240	16	7	,	,	PUNCT
cana-1240	16	8	lung	lung	NOUN
cana-1240	16	9	cancer	cancer	NOUN
cana-1240	16	10	ranks	rank	VERB
cana-1240	16	11	among	among	ADP
cana-1240	16	12	the	the	DET
cana-1240	16	13	top	top	ADJ
cana-1240	16	14	causes	cause	NOUN
cana-1240	16	15	of	of	ADP
cana-1240	16	16	death	death	NOUN
cana-1240	16	17	for	for	ADP
cana-1240	16	18	both	both	DET
cana-1240	16	19	men	man	NOUN
cana-1240	16	20	and	and	CCONJ
cana-1240	16	21	women	woman	NOUN
cana-1240	16	22	,	,	PUNCT
cana-1240	16	23	with	with	ADP
cana-1240	16	24	a	a	DET
cana-1240	16	25	remarkable	remarkable	ADJ
cana-1240	16	26	annual	annual	ADJ
cana-1240	16	27	incidence	incidence	NOUN
cana-1240	16	28	rate	rate	NOUN
cana-1240	16	29	of	of	ADP
cana-1240	16	30	roughly	roughly	ADV
cana-1240	16	31	five	five	NUM
cana-1240	16	32	million	million	NUM
cana-1240	16	33	fatal	fatal	ADJ
cana-1240	16	34	cases	case	NOUN
cana-1240	16	35	[	[	X
cana-1240	16	36	1	1	NUM
cana-1240	16	37	]	]	PUNCT
cana-1240	16	38	.	.	PUNCT
cana-1240	17	1	since	since	SCONJ
cana-1240	17	2	it	it	PRON
cana-1240	17	3	manifests	manifest	VERB
cana-1240	17	4	and	and	CCONJ
cana-1240	17	5	manifests	manifest	NOUN
cana-1240	17	6	in	in	ADP
cana-1240	17	7	its	its	PRON
cana-1240	17	8	advanced	advanced	ADJ
cana-1240	17	9	stages	stage	NOUN
cana-1240	17	10	,	,	PUNCT
cana-1240	17	11	detection	detection	NOUN
cana-1240	17	12	is	be	AUX
cana-1240	17	13	challenging	challenge	VERB
cana-1240	17	14	.	.	PUNCT
cana-1240	18	1	lung	lung	NOUN
cana-1240	18	2	cancer	cancer	NOUN
cana-1240	18	3	ranked	rank	VERB
cana-1240	18	4	first	first	ADV
cana-1240	18	5	for	for	ADP
cana-1240	18	6	male	male	ADJ
cana-1240	18	7	deaths	death	NOUN
cana-1240	18	8	and	and	CCONJ
cana-1240	18	9	third	third	ADJ
cana-1240	18	10	for	for	ADP
cana-1240	18	11	female	female	ADJ
cana-1240	18	12	deaths	death	NOUN
cana-1240	18	13	in	in	ADP
cana-1240	18	14	a	a	DET
cana-1240	18	15	database	database	NOUN
cana-1240	18	16	created	create	VERB
cana-1240	18	17	by	by	ADP
cana-1240	18	18	the	the	DET
cana-1240	18	19	international	international	ADJ
cana-1240	18	20	agency	agency	NOUN
cana-1240	18	21	for	for	ADP
cana-1240	18	22	research	research	NOUN
cana-1240	18	23	on	on	ADP
cana-1240	18	24	cancer	cancer	NOUN
cana-1240	18	25	(	(	PUNCT
cana-1240	18	26	iarc	iarc	NOUN
cana-1240	18	27	)	)	PUNCT
cana-1240	18	28	global	global	ADJ
cana-1240	18	29	cancer	cancer	NOUN
cana-1240	18	30	observatory	observatory	NOUN
cana-1240	18	31	in	in	ADP
cana-1240	18	32	2018	2018	NUM
cana-1240	18	33	.	.	PUNCT
cana-1240	19	1	the	the	DET
cana-1240	19	2	database	database	NOUN
cana-1240	19	3	included	include	VERB
cana-1240	19	4	data	datum	NOUN
cana-1240	19	5	on	on	ADP
cana-1240	19	6	the	the	DET
cana-1240	19	7	prevalence	prevalence	NOUN
cana-1240	19	8	and	and	CCONJ
cana-1240	19	9	death	death	NOUN
cana-1240	19	10	communications	communication	NOUN
cana-1240	19	11	on	on	ADP
cana-1240	19	12	applied	apply	VERB
cana-1240	19	13	nonlinear	nonlinear	ADJ
cana-1240	19	14	analysis	analysis	NOUN
cana-1240	19	15	issn	issn	NOUN
cana-1240	19	16	:	:	PUNCT
cana-1240	19	17	1074	1074	NUM
cana-1240	19	18	-	-	PUNCT
cana-1240	19	19	133x	133x	NUM
cana-1240	19	20	vol	vol	NOUN
cana-1240	19	21	31	31	NUM
cana-1240	19	22	no	no	NOUN
cana-1240	19	23	.	.	PUNCT
cana-1240	20	1	6s	6s	NUM
cana-1240	20	2	(	(	PUNCT
cana-1240	20	3	2024	2024	NUM
cana-1240	20	4	)	)	PUNCT
cana-1240	20	5	500	500	NUM
cana-1240	20	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1240	20	7	rates	rate	NOUN
cana-1240	20	8	of	of	ADP
cana-1240	20	9	36	36	NUM
cana-1240	20	10	distinct	distinct	ADJ
cana-1240	20	11	cancer	cancer	NOUN
cana-1240	20	12	types	type	NOUN
cana-1240	20	13	in	in	ADP
cana-1240	20	14	185	185	NUM
cana-1240	20	15	countries	country	NOUN
cana-1240	20	16	[	[	X
cana-1240	20	17	2	2	NUM
cana-1240	20	18	]	]	PUNCT
cana-1240	20	19	.	.	PUNCT
cana-1240	21	1	it	it	PRON
cana-1240	21	2	is	be	AUX
cana-1240	21	3	the	the	DET
cana-1240	21	4	leading	lead	VERB
cana-1240	21	5	cause	cause	NOUN
cana-1240	21	6	of	of	ADP
cana-1240	21	7	cancer	cancer	NOUN
cana-1240	21	8	-	-	PUNCT
cana-1240	21	9	related	relate	VERB
cana-1240	21	10	deaths	death	NOUN
cana-1240	21	11	globally	globally	ADV
cana-1240	21	12	,	,	PUNCT
cana-1240	21	13	accounting	account	VERB
cana-1240	21	14	for	for	ADP
cana-1240	21	15	1.6	1.6	NUM
cana-1240	21	16	million	million	NUM
cana-1240	21	17	deaths	death	NOUN
cana-1240	21	18	annually	annually	ADV
cana-1240	21	19	.	.	PUNCT
cana-1240	22	1	advanced	advanced	ADJ
cana-1240	22	2	lung	lung	NOUN
cana-1240	22	3	cancer	cancer	NOUN
cana-1240	22	4	patients	patient	NOUN
cana-1240	22	5	still	still	ADV
cana-1240	22	6	have	have	VERB
cana-1240	22	7	a	a	DET
cana-1240	22	8	low	low	ADJ
cana-1240	22	9	5year	5year	NUM
cana-1240	22	10	survival	survival	NOUN
cana-1240	22	11	rate	rate	NOUN
cana-1240	22	12	(	(	PUNCT
cana-1240	22	13	4	4	NUM
cana-1240	22	14	%	%	NOUN
cana-1240	22	15	to	to	PART
cana-1240	22	16	17	17	NUM
cana-1240	22	17	%	%	NOUN
cana-1240	22	18	)	)	PUNCT
cana-1240	22	19	,	,	PUNCT
cana-1240	22	20	despite	despite	SCONJ
cana-1240	22	21	the	the	DET
cana-1240	22	22	availability	availability	NOUN
cana-1240	22	23	of	of	ADP
cana-1240	22	24	multimodality	multimodality	NOUN
cana-1240	22	25	treatment	treatment	NOUN
cana-1240	22	26	[	[	X
cana-1240	22	27	3	3	NUM
cana-1240	22	28	]	]	PUNCT
cana-1240	22	29	.	.	PUNCT
cana-1240	23	1	the	the	DET
cana-1240	23	2	main	main	ADJ
cana-1240	23	3	job	job	NOUN
cana-1240	23	4	of	of	ADP
cana-1240	23	5	the	the	DET
cana-1240	23	6	lungs	lung	NOUN
cana-1240	23	7	is	be	AUX
cana-1240	23	8	to	to	PART
cana-1240	23	9	breathe	breathe	VERB
cana-1240	23	10	in	in	ADP
cana-1240	23	11	oxygen	oxygen	NOUN
cana-1240	23	12	and	and	CCONJ
cana-1240	23	13	exhale	exhale	NOUN
cana-1240	23	14	carbon	carbon	NOUN
cana-1240	23	15	dioxide	dioxide	NOUN
cana-1240	23	16	when	when	SCONJ
cana-1240	23	17	carrying	carry	VERB
cana-1240	23	18	out	out	ADP
cana-1240	23	19	vital	vital	ADJ
cana-1240	23	20	biological	biological	ADJ
cana-1240	23	21	processes	process	NOUN
cana-1240	23	22	.	.	PUNCT
cana-1240	24	1	tissue	tissue	NOUN
cana-1240	24	2	and	and	CCONJ
cana-1240	24	3	cell	cell	NOUN
cana-1240	24	4	proliferation	proliferation	NOUN
cana-1240	24	5	in	in	ADP
cana-1240	24	6	the	the	DET
cana-1240	24	7	lungs	lung	NOUN
cana-1240	24	8	goes	go	VERB
cana-1240	24	9	unchecked	unchecked	ADJ
cana-1240	24	10	and	and	CCONJ
cana-1240	24	11	lead	lead	VERB
cana-1240	24	12	to	to	ADP
cana-1240	24	13	lung	lung	NOUN
cana-1240	24	14	cancer	cancer	NOUN
cana-1240	24	15	.	.	PUNCT
cana-1240	25	1	these	these	DET
cana-1240	25	2	masses	masse	NOUN
cana-1240	25	3	can	can	AUX
cana-1240	25	4	spread	spread	VERB
cana-1240	25	5	and	and	CCONJ
cana-1240	25	6	harm	harm	VERB
cana-1240	25	7	nearby	nearby	ADJ
cana-1240	25	8	tissues	tissue	NOUN
cana-1240	25	9	if	if	SCONJ
cana-1240	25	10	they	they	PRON
cana-1240	25	11	are	be	AUX
cana-1240	25	12	allowed	allow	VERB
cana-1240	25	13	to	to	PART
cana-1240	25	14	grow	grow	VERB
cana-1240	25	15	out	out	ADP
cana-1240	25	16	of	of	ADP
cana-1240	25	17	control	control	NOUN
cana-1240	25	18	in	in	ADP
cana-1240	25	19	their	their	PRON
cana-1240	25	20	surroundings	surrounding	NOUN
cana-1240	25	21	[	[	X
cana-1240	25	22	4	4	NUM
cana-1240	25	23	]	]	PUNCT
cana-1240	25	24	lung	lung	NOUN
cana-1240	25	25	cancer	cancer	NOUN
cana-1240	25	26	is	be	AUX
cana-1240	25	27	caused	cause	VERB
cana-1240	25	28	by	by	ADP
cana-1240	25	29	unchecked	unchecked	ADJ
cana-1240	25	30	cell	cell	NOUN
cana-1240	25	31	growth	growth	NOUN
cana-1240	25	32	,	,	PUNCT
cana-1240	25	33	which	which	PRON
cana-1240	25	34	results	result	VERB
cana-1240	25	35	in	in	ADP
cana-1240	25	36	the	the	DET
cana-1240	25	37	development	development	NOUN
cana-1240	25	38	of	of	ADP
cana-1240	25	39	lung	lung	NOUN
cana-1240	25	40	nodules	nodule	NOUN
cana-1240	25	41	[	[	X
cana-1240	25	42	5	5	NUM
cana-1240	25	43	]	]	PUNCT
cana-1240	25	44	.	.	PUNCT
cana-1240	26	1	based	base	VERB
cana-1240	26	2	on	on	ADP
cana-1240	26	3	the	the	DET
cana-1240	26	4	properties	property	NOUN
cana-1240	26	5	of	of	ADP
cana-1240	26	6	the	the	DET
cana-1240	26	7	cells	cell	NOUN
cana-1240	26	8	,	,	PUNCT
cana-1240	26	9	lung	lung	NOUN
cana-1240	26	10	cancer	cancer	NOUN
cana-1240	26	11	can	can	AUX
cana-1240	26	12	be	be	AUX
cana-1240	26	13	divided	divide	VERB
cana-1240	26	14	into	into	ADP
cana-1240	26	15	two	two	NUM
cana-1240	26	16	main	main	ADJ
cana-1240	26	17	groups	group	NOUN
cana-1240	26	18	:	:	PUNCT
cana-1240	26	19	small	small	ADJ
cana-1240	26	20	and	and	CCONJ
cana-1240	26	21	non	non	ADJ
cana-1240	26	22	-	-	ADJ
cana-1240	26	23	small	small	ADJ
cana-1240	26	24	cell.[6	cell.[6	PRON
cana-1240	26	25	]	]	PUNCT
cana-1240	26	26	computed	compute	VERB
cana-1240	26	27	tomography	tomography	NOUN
cana-1240	26	28	(	(	PUNCT
cana-1240	26	29	ct)scans	ct)scan	NOUN
cana-1240	26	30	,	,	PUNCT
cana-1240	26	31	positron	positron	NOUN
cana-1240	26	32	emission	emission	NOUN
cana-1240	26	33	tomography	tomography	NOUN
cana-1240	26	34	(	(	PUNCT
cana-1240	26	35	pet	pet	NOUN
cana-1240	26	36	)	)	PUNCT
cana-1240	26	37	,	,	PUNCT
cana-1240	26	38	magnetic	magnetic	ADJ
cana-1240	26	39	resonance	resonance	NOUN
cana-1240	26	40	imaging	imaging	NOUN
cana-1240	26	41	(	(	PUNCT
cana-1240	26	42	mri),chest	mri),ch	ADJ
cana-1240	26	43	radiographies	radiography	NOUN
cana-1240	26	44	(	(	PUNCT
cana-1240	26	45	cxrs	cxrs	NOUN
cana-1240	26	46	)	)	PUNCT
cana-1240	26	47	and	and	CCONJ
cana-1240	26	48	cytology	cytology	NOUN
cana-1240	26	49	sputum	sputum	NOUN
cana-1240	26	50	are	be	AUX
cana-1240	26	51	among	among	ADP
cana-1240	26	52	the	the	DET
cana-1240	26	53	diagnostic	diagnostic	ADJ
cana-1240	26	54	methods	method	NOUN
cana-1240	26	55	used	use	VERB
cana-1240	26	56	to	to	PART
cana-1240	26	57	treat	treat	VERB
cana-1240	26	58	lung	lung	NOUN
cana-1240	26	59	cancer	cancer	NOUN
cana-1240	26	60	.	.	PUNCT
cana-1240	27	1	these	these	DET
cana-1240	27	2	techniques	technique	NOUN
cana-1240	27	3	also	also	ADV
cana-1240	27	4	have	have	VERB
cana-1240	27	5	some	some	DET
cana-1240	27	6	drawbacks	drawback	NOUN
cana-1240	27	7	.	.	PUNCT
cana-1240	28	1	for	for	ADP
cana-1240	28	2	example	example	NOUN
cana-1240	28	3	,	,	PUNCT
cana-1240	28	4	ct	ct	PROPN
cana-1240	28	5	,	,	PUNCT
cana-1240	28	6	septum	septum	PROPN
cana-1240	28	7	,	,	PUNCT
cana-1240	28	8	and	and	CCONJ
cana-1240	28	9	cxr	cxr	NOUN
cana-1240	28	10	are	be	AUX
cana-1240	28	11	radiation	radiation	NOUN
cana-1240	28	12	-	-	PUNCT
cana-1240	28	13	prone	prone	ADJ
cana-1240	28	14	,	,	PUNCT
cana-1240	28	15	and	and	CCONJ
cana-1240	28	16	mri	mri	NOUN
cana-1240	28	17	and	and	CCONJ
cana-1240	28	18	pet	pet	NOUN
cana-1240	28	19	are	be	AUX
cana-1240	28	20	less	less	ADV
cana-1240	28	21	effective	effective	ADJ
cana-1240	28	22	at	at	ADP
cana-1240	28	23	detecting	detect	VERB
cana-1240	28	24	and	and	CCONJ
cana-1240	28	25	staging	stage	VERB
cana-1240	28	26	lung	lung	NOUN
cana-1240	28	27	cancer	cancer	NOUN
cana-1240	28	28	[	[	X
cana-1240	28	29	7].the	7].the	DET
cana-1240	28	30	wavelet	wavelet	NOUN
cana-1240	28	31	is	be	AUX
cana-1240	28	32	used	use	VERB
cana-1240	28	33	to	to	PART
cana-1240	28	34	examine	examine	VERB
cana-1240	28	35	the	the	DET
cana-1240	28	36	cancer	cancer	NOUN
cana-1240	28	37	cells	cell	NOUN
cana-1240	28	38	and	and	CCONJ
cana-1240	28	39	fuse	fuse	VERB
cana-1240	28	40	the	the	DET
cana-1240	28	41	final	final	ADJ
cana-1240	28	42	image	image	NOUN
cana-1240	28	43	.	.	PUNCT
cana-1240	29	1	additionally	additionally	ADV
cana-1240	29	2	,	,	PUNCT
cana-1240	29	3	prediction	prediction	NOUN
cana-1240	29	4	techniques	technique	NOUN
cana-1240	29	5	are	be	AUX
cana-1240	29	6	used	use	VERB
cana-1240	29	7	to	to	PART
cana-1240	29	8	determine	determine	VERB
cana-1240	29	9	whether	whether	SCONJ
cana-1240	29	10	a	a	DET
cana-1240	29	11	person	person	NOUN
cana-1240	29	12	's	's	PART
cana-1240	29	13	habits	habit	NOUN
cana-1240	29	14	can	can	AUX
cana-1240	29	15	influence	influence	VERB
cana-1240	29	16	their	their	PRON
cana-1240	29	17	risk	risk	NOUN
cana-1240	29	18	of	of	ADP
cana-1240	29	19	developing	develop	VERB
cana-1240	29	20	cancer	cancer	NOUN
cana-1240	29	21	[	[	X
cana-1240	29	22	8].the	8].the	DET
cana-1240	29	23	delicate	delicate	ADJ
cana-1240	29	24	character	character	NOUN
cana-1240	29	25	of	of	ADP
cana-1240	29	26	pulmonary	pulmonary	ADJ
cana-1240	29	27	tissue	tissue	NOUN
cana-1240	29	28	can	can	AUX
cana-1240	29	29	also	also	ADV
cana-1240	29	30	make	make	VERB
cana-1240	29	31	an	an	DET
cana-1240	29	32	accurate	accurate	ADJ
cana-1240	29	33	early	early	ADJ
cana-1240	29	34	diagnosis	diagnosis	NOUN
cana-1240	29	35	challenging	challenge	VERB
cana-1240	29	36	,	,	PUNCT
cana-1240	29	37	making	make	VERB
cana-1240	29	38	biopsies	biopsy	NOUN
cana-1240	29	39	and	and	CCONJ
cana-1240	29	40	x	x	NOUN
cana-1240	29	41	-	-	NOUN
cana-1240	29	42	ray	ray	NOUN
cana-1240	29	43	-	-	PUNCT
cana-1240	29	44	based	base	VERB
cana-1240	29	45	imaging	imaging	NOUN
cana-1240	29	46	difficult	difficult	ADJ
cana-1240	29	47	.	.	PUNCT
cana-1240	30	1	if	if	SCONJ
cana-1240	30	2	blood	blood	NOUN
cana-1240	30	3	oxygen	oxygen	NOUN
cana-1240	30	4	levels	level	NOUN
cana-1240	30	5	are	be	AUX
cana-1240	30	6	low	low	ADJ
cana-1240	30	7	during	during	ADP
cana-1240	30	8	the	the	DET
cana-1240	30	9	diagnosis	diagnosis	NOUN
cana-1240	30	10	,	,	PUNCT
cana-1240	30	11	oxygen	oxygen	NOUN
cana-1240	30	12	therapy	therapy	NOUN
cana-1240	30	13	is	be	AUX
cana-1240	30	14	also	also	ADV
cana-1240	30	15	recommended	recommend	VERB
cana-1240	30	16	[	[	PUNCT
cana-1240	30	17	9	9	NUM
cana-1240	30	18	]	]	PUNCT
cana-1240	30	19	.	.	PUNCT
cana-1240	31	1	a	a	DET
cana-1240	31	2	bronchoscopy	bronchoscopy	NOUN
cana-1240	31	3	and	and	CCONJ
cana-1240	31	4	lung	lung	NOUN
cana-1240	31	5	biopsy	biopsy	NOUN
cana-1240	31	6	are	be	AUX
cana-1240	31	7	also	also	ADV
cana-1240	31	8	painful	painful	ADJ
cana-1240	31	9	,	,	PUNCT
cana-1240	31	10	invasive	invasive	ADJ
cana-1240	31	11	procedures	procedure	NOUN
cana-1240	31	12	that	that	PRON
cana-1240	31	13	should	should	AUX
cana-1240	31	14	not	not	PART
cana-1240	31	15	be	be	AUX
cana-1240	31	16	performed	perform	VERB
cana-1240	31	17	carelessly	carelessly	ADV
cana-1240	31	18	,	,	PUNCT
cana-1240	31	19	even	even	ADV
cana-1240	31	20	though	though	SCONJ
cana-1240	31	21	they	they	PRON
cana-1240	31	22	can	can	AUX
cana-1240	31	23	accurately	accurately	ADV
cana-1240	31	24	identify	identify	VERB
cana-1240	31	25	tumour	tumour	NOUN
cana-1240	31	26	cells.[10	cells.[10	NOUN
cana-1240	31	27	]	]	PUNCT
cana-1240	31	28	lung	lung	NOUN
cana-1240	31	29	cancer	cancer	NOUN
cana-1240	31	30	disease	disease	NOUN
cana-1240	31	31	is	be	AUX
cana-1240	31	32	difficult	difficult	ADJ
cana-1240	31	33	to	to	PART
cana-1240	31	34	diagnose	diagnose	VERB
cana-1240	31	35	from	from	ADP
cana-1240	31	36	ct	ct	NUM
cana-1240	31	37	scans	scan	NOUN
cana-1240	31	38	.	.	PUNCT
cana-1240	32	1	these	these	DET
cana-1240	32	2	days	day	NOUN
cana-1240	32	3	,	,	PUNCT
cana-1240	32	4	low	low	ADJ
cana-1240	32	5	-	-	PUNCT
cana-1240	32	6	dose	dose	VERB
cana-1240	32	7	helical	helical	ADJ
cana-1240	32	8	computed	compute	VERB
cana-1240	32	9	tomography	tomography	NOUN
cana-1240	32	10	(	(	PUNCT
cana-1240	32	11	ldct	ldct	PROPN
cana-1240	32	12	)	)	PUNCT
cana-1240	32	13	is	be	AUX
cana-1240	32	14	used	use	VERB
cana-1240	32	15	as	as	ADP
cana-1240	32	16	a	a	DET
cana-1240	32	17	modality	modality	NOUN
cana-1240	32	18	for	for	ADP
cana-1240	32	19	lung	lung	NOUN
cana-1240	32	20	cancer	cancer	NOUN
cana-1240	32	21	screening	screen	VERB
cana-1240	33	1	[	[	X
cana-1240	33	2	11	11	NUM
cana-1240	33	3	]	]	PUNCT
cana-1240	33	4	.	.	PUNCT
cana-1240	34	1	the	the	DET
cana-1240	34	2	ability	ability	NOUN
cana-1240	34	3	to	to	PART
cana-1240	34	4	classify	classify	VERB
cana-1240	34	5	lung	lung	NOUN
cana-1240	34	6	cancer	cancer	NOUN
cana-1240	34	7	in	in	ADP
cana-1240	34	8	its	its	PRON
cana-1240	34	9	initialphases	initialphase	NOUN
cana-1240	34	10	and	and	CCONJ
cana-1240	34	11	differentiate	differentiate	VERB
cana-1240	34	12	it	it	PRON
cana-1240	34	13	from	from	ADP
cana-1240	34	14	tuberculosis	tuberculosis	NOUN
cana-1240	34	15	makes	make	VERB
cana-1240	34	16	image	image	NOUN
cana-1240	34	17	processing	processing	NOUN
cana-1240	34	18	techniques	technique	NOUN
cana-1240	34	19	extremely	extremely	ADV
cana-1240	34	20	valuable	valuable	ADJ
cana-1240	34	21	in	in	ADP
cana-1240	34	22	the	the	DET
cana-1240	34	23	fight	fight	NOUN
cana-1240	34	24	against	against	ADP
cana-1240	34	25	lung	lung	NOUN
cana-1240	34	26	cancer	cancer	NOUN
cana-1240	34	27	.	.	PUNCT
cana-1240	35	1	if	if	SCONJ
cana-1240	35	2	the	the	DET
cana-1240	35	3	detected	detect	VERB
cana-1240	35	4	tumour	tumour	NOUN
cana-1240	35	5	growth	growth	NOUN
cana-1240	35	6	turns	turn	VERB
cana-1240	35	7	out	out	ADP
cana-1240	35	8	to	to	PART
cana-1240	35	9	be	be	AUX
cana-1240	35	10	malignant	malignant	ADJ
cana-1240	35	11	,	,	PUNCT
cana-1240	35	12	it	it	PRON
cana-1240	35	13	can	can	AUX
cana-1240	35	14	be	be	AUX
cana-1240	35	15	easily	easily	ADV
cana-1240	35	16	removed	remove	VERB
cana-1240	35	17	,	,	PUNCT
cana-1240	35	18	increasing	increase	VERB
cana-1240	35	19	the	the	DET
cana-1240	35	20	likelihood	likelihood	NOUN
cana-1240	35	21	that	that	SCONJ
cana-1240	35	22	a	a	DET
cana-1240	35	23	patient	patient	NOUN
cana-1240	35	24	will	will	AUX
cana-1240	35	25	survive	survive	VERB
cana-1240	35	26	[	[	X
cana-1240	35	27	12	12	NUM
cana-1240	35	28	]	]	PUNCT
cana-1240	35	29	.	.	PUNCT
cana-1240	36	1	the	the	DET
cana-1240	36	2	accurate	accurate	ADJ
cana-1240	36	3	fuzzy	fuzzy	ADJ
cana-1240	36	4	inference	inference	NOUN
cana-1240	36	5	system	system	NOUN
cana-1240	36	6	(	(	PUNCT
cana-1240	36	7	fis	fis	PROPN
cana-1240	36	8	)	)	PUNCT
cana-1240	36	9	can	can	AUX
cana-1240	36	10	be	be	AUX
cana-1240	36	11	used	use	VERB
cana-1240	36	12	to	to	PART
cana-1240	36	13	practically	practically	ADV
cana-1240	36	14	identify	identify	VERB
cana-1240	36	15	cancer	cancer	NOUN
cana-1240	36	16	by	by	ADP
cana-1240	36	17	removing	remove	VERB
cana-1240	36	18	symptoms	symptom	NOUN
cana-1240	36	19	that	that	PRON
cana-1240	36	20	are	be	AUX
cana-1240	36	21	not	not	PART
cana-1240	36	22	relevant	relevant	ADJ
cana-1240	36	23	and	and	CCONJ
cana-1240	36	24	addressing	address	VERB
cana-1240	36	25	the	the	DET
cana-1240	36	26	primary	primary	ADJ
cana-1240	36	27	symptoms	symptom	NOUN
cana-1240	36	28	from	from	ADP
cana-1240	36	29	a	a	DET
cana-1240	36	30	temporal	temporal	ADJ
cana-1240	36	31	perspective	perspective	NOUN
cana-1240	36	32	.	.	PUNCT
cana-1240	37	1	because	because	SCONJ
cana-1240	37	2	fis	fis	PROPN
cana-1240	37	3	has	have	VERB
cana-1240	37	4	the	the	DET
cana-1240	37	5	highest	high	ADJ
cana-1240	37	6	accuracy	accuracy	NOUN
cana-1240	37	7	and	and	CCONJ
cana-1240	37	8	precision	precision	NOUN
cana-1240	37	9	,	,	PUNCT
cana-1240	37	10	it	it	PRON
cana-1240	37	11	is	be	AUX
cana-1240	37	12	widely	widely	ADV
cana-1240	37	13	used	use	VERB
cana-1240	37	14	in	in	ADP
cana-1240	37	15	a	a	DET
cana-1240	37	16	variety	variety	NOUN
cana-1240	37	17	of	of	ADP
cana-1240	37	18	systems	system	NOUN
cana-1240	37	19	and	and	CCONJ
cana-1240	37	20	devices	device	NOUN
cana-1240	37	21	,	,	PUNCT
cana-1240	37	22	both	both	CCONJ
cana-1240	37	23	medical	medical	ADJ
cana-1240	37	24	and	and	CCONJ
cana-1240	37	25	non	non	ADJ
cana-1240	37	26	-	-	ADJ
cana-1240	37	27	medical	medical	ADJ
cana-1240	37	28	[	[	X
cana-1240	37	29	13	13	NUM
cana-1240	37	30	]	]	PUNCT
cana-1240	37	31	.	.	PUNCT
cana-1240	38	1	a	a	DET
cana-1240	38	2	fuzzy	fuzzy	ADJ
cana-1240	38	3	rule	rule	NOUN
cana-1240	38	4	-	-	PUNCT
cana-1240	38	5	based	base	VERB
cana-1240	38	6	expert	expert	NOUN
cana-1240	38	7	system	system	NOUN
cana-1240	38	8	consists	consist	VERB
cana-1240	38	9	of	of	ADP
cana-1240	38	10	a	a	DET
cana-1240	38	11	membership	membership	NOUN
cana-1240	38	12	function	function	NOUN
cana-1240	38	13	and	and	CCONJ
cana-1240	38	14	a	a	DET
cana-1240	38	15	set	set	NOUN
cana-1240	38	16	of	of	ADP
cana-1240	38	17	fuzzy	fuzzy	ADJ
cana-1240	38	18	rules	rule	NOUN
cana-1240	38	19	,	,	PUNCT
cana-1240	38	20	in	in	ADP
cana-1240	38	21	which	which	PRON
cana-1240	38	22	subject	subject	NOUN
cana-1240	38	23	matter	matter	NOUN
cana-1240	38	24	experts	expert	NOUN
cana-1240	38	25	can	can	AUX
cana-1240	38	26	offer	offer	VERB
cana-1240	38	27	helpful	helpful	ADJ
cana-1240	38	28	guidance	guidance	NOUN
cana-1240	38	29	on	on	ADP
cana-1240	38	30	acquiring	acquire	VERB
cana-1240	38	31	new	new	ADJ
cana-1240	38	32	knowledge	knowledge	NOUN
cana-1240	38	33	.	.	PUNCT
cana-1240	39	1	thus	thus	ADV
cana-1240	39	2	far	far	ADV
cana-1240	39	3	,	,	PUNCT
cana-1240	39	4	numerous	numerous	ADJ
cana-1240	39	5	sciences	science	NOUN
cana-1240	39	6	have	have	AUX
cana-1240	39	7	witnessed	witness	VERB
cana-1240	39	8	an	an	DET
cana-1240	39	9	increasing	increase	VERB
cana-1240	39	10	research	research	NOUN
cana-1240	39	11	focus	focus	NOUN
cana-1240	39	12	on	on	ADP
cana-1240	39	13	the	the	DET
cana-1240	39	14	fuzzy	fuzzy	ADJ
cana-1240	39	15	inference	inference	NOUN
cana-1240	39	16	system	system	NOUN
cana-1240	39	17	[	[	X
cana-1240	39	18	14	14	NUM
cana-1240	39	19	]	]	PUNCT
cana-1240	39	20	.	.	PUNCT
cana-1240	40	1	this	this	DET
cana-1240	40	2	information	information	NOUN
cana-1240	40	3	can	can	AUX
cana-1240	40	4	be	be	AUX
cana-1240	40	5	used	use	VERB
cana-1240	40	6	to	to	PART
cana-1240	40	7	detect	detect	VERB
cana-1240	40	8	and	and	CCONJ
cana-1240	40	9	diagnose	diagnose	NOUN
cana-1240	40	10	lung	lung	NOUN
cana-1240	40	11	cancer	cancer	NOUN
cana-1240	40	12	by	by	ADP
cana-1240	40	13	incorporating	incorporate	VERB
cana-1240	40	14	it	it	PRON
cana-1240	40	15	into	into	ADP
cana-1240	40	16	a	a	DET
cana-1240	40	17	fuzzy	fuzzy	ADJ
cana-1240	40	18	expert	expert	NOUN
cana-1240	40	19	system	system	NOUN
cana-1240	40	20	.	.	PUNCT
cana-1240	41	1	the	the	DET
cana-1240	41	2	aim	aim	NOUN
cana-1240	41	3	of	of	ADP
cana-1240	41	4	this	this	DET
cana-1240	41	5	work	work	NOUN
cana-1240	41	6	is	be	AUX
cana-1240	41	7	to	to	PART
cana-1240	41	8	develop	develop	VERB
cana-1240	41	9	an	an	DET
cana-1240	41	10	expert	expert	NOUN
cana-1240	41	11	system	system	NOUN
cana-1240	41	12	for	for	ADP
cana-1240	41	13	lung	lung	NOUN
cana-1240	41	14	cancer	cancer	NOUN
cana-1240	41	15	diagnosis	diagnosis	NOUN
cana-1240	41	16	based	base	VERB
cana-1240	41	17	on	on	ADP
cana-1240	41	18	fuzzy	fuzzy	ADJ
cana-1240	41	19	rules	rule	NOUN
cana-1240	41	20	[	[	X
cana-1240	41	21	15	15	NUM
cana-1240	41	22	]	]	PUNCT
cana-1240	41	23	.	.	PUNCT
cana-1240	42	1	the	the	DET
cana-1240	42	2	major	major	ADJ
cana-1240	42	3	contribution	contribution	NOUN
cana-1240	42	4	of	of	ADP
cana-1240	42	5	this	this	DET
cana-1240	42	6	work	work	NOUN
cana-1240	42	7	are	be	AUX
cana-1240	42	8	as	as	SCONJ
cana-1240	42	9	follows	follow	VERB
cana-1240	42	10	:	:	PUNCT
cana-1240	42	11	➢	➢	VERB
cana-1240	42	12	a	a	DET
cana-1240	42	13	novel	novel	ADJ
cana-1240	42	14	contribution	contribution	NOUN
cana-1240	42	15	to	to	ADP
cana-1240	42	16	the	the	DET
cana-1240	42	17	field	field	NOUN
cana-1240	42	18	of	of	ADP
cana-1240	42	19	feature	feature	NOUN
cana-1240	42	20	ranking	rank	VERB
cana-1240	42	21	is	be	AUX
cana-1240	42	22	the	the	DET
cana-1240	42	23	introduction	introduction	NOUN
cana-1240	42	24	of	of	ADP
cana-1240	42	25	a	a	DET
cana-1240	42	26	modified	modify	VERB
cana-1240	42	27	fuzzy	fuzzy	ADJ
cana-1240	42	28	ahp	ahp	NOUN
cana-1240	42	29	that	that	PRON
cana-1240	42	30	includes	include	VERB
cana-1240	42	31	sigmoid	sigmoid	NOUN
cana-1240	42	32	membership	membership	NOUN
cana-1240	42	33	functions	function	NOUN
cana-1240	42	34	tailored	tailor	VERB
cana-1240	42	35	for	for	ADP
cana-1240	42	36	each	each	DET
cana-1240	42	37	feature	feature	NOUN
cana-1240	42	38	.	.	PUNCT
cana-1240	43	1	➢	➢	VERB
cana-1240	43	2	a	a	DET
cana-1240	43	3	novel	novel	ADJ
cana-1240	43	4	and	and	CCONJ
cana-1240	43	5	distinctive	distinctive	ADJ
cana-1240	43	6	method	method	NOUN
cana-1240	43	7	is	be	AUX
cana-1240	43	8	presented	present	VERB
cana-1240	43	9	by	by	ADP
cana-1240	43	10	the	the	DET
cana-1240	43	11	hybrid	hybrid	ADJ
cana-1240	43	12	chimpgaz	chimpgaz	NOUN
cana-1240	43	13	optimization	optimization	NOUN
cana-1240	43	14	algorithm	algorithm	NOUN
cana-1240	43	15	,	,	PUNCT
cana-1240	43	16	which	which	PRON
cana-1240	43	17	combines	combine	VERB
cana-1240	43	18	the	the	DET
cana-1240	43	19	optimizations	optimization	NOUN
cana-1240	43	20	of	of	ADP
cana-1240	43	21	gazelle	gazelle	NOUN
cana-1240	43	22	and	and	CCONJ
cana-1240	43	23	chimp	chimp	NOUN
cana-1240	43	24	.	.	PUNCT
cana-1240	44	1	this	this	DET
cana-1240	44	2	algorithm	algorithm	NOUN
cana-1240	44	3	optimizes	optimize	VERB
cana-1240	44	4	parameter	parameter	NOUN
cana-1240	44	5	communications	communication	NOUN
cana-1240	44	6	on	on	ADP
cana-1240	44	7	applied	apply	VERB
cana-1240	44	8	nonlinear	nonlinear	ADJ
cana-1240	44	9	analysis	analysis	NOUN
cana-1240	44	10	issn	issn	NOUN
cana-1240	44	11	:	:	PUNCT
cana-1240	44	12	1074	1074	NUM
cana-1240	44	13	-	-	PUNCT
cana-1240	44	14	133x	133x	NUM
cana-1240	44	15	vol	vol	NOUN
cana-1240	44	16	31	31	NUM
cana-1240	44	17	no	no	NOUN
cana-1240	44	18	.	.	PUNCT
cana-1240	45	1	6s	6s	NUM
cana-1240	45	2	(	(	PUNCT
cana-1240	45	3	2024	2024	NUM
cana-1240	45	4	)	)	PUNCT
cana-1240	45	5	501	501	NUM
cana-1240	45	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1240	45	7	configurations	configuration	NOUN
cana-1240	46	1	and	and	CCONJ
cana-1240	46	2	improves	improve	VERB
cana-1240	46	3	roi	roi	NOUN
cana-1240	46	4	division	division	NOUN
cana-1240	46	5	precision	precision	NOUN
cana-1240	46	6	by	by	ADP
cana-1240	46	7	fine	fine	ADV
cana-1240	46	8	-	-	PUNCT
cana-1240	46	9	tuning	tune	VERB
cana-1240	46	10	the	the	DET
cana-1240	46	11	mask	mask	NOUN
cana-1240	46	12	r	r	NOUN
cana-1240	46	13	-	-	PUNCT
cana-1240	46	14	cnn	cnn	PROPN
cana-1240	46	15	for	for	ADP
cana-1240	46	16	roi	roi	NOUN
cana-1240	46	17	identification	identification	NOUN
cana-1240	46	18	.	.	PUNCT
cana-1240	47	1	➢	➢	VERB
cana-1240	47	2	the	the	DET
cana-1240	47	3	distinct	distinct	ADJ
cana-1240	47	4	feature	feature	NOUN
cana-1240	47	5	of	of	ADP
cana-1240	47	6	the	the	DET
cana-1240	47	7	proposed	propose	VERB
cana-1240	47	8	detection	detection	NOUN
cana-1240	47	9	model	model	NOUN
cana-1240	47	10	,	,	PUNCT
cana-1240	47	11	"	"	PUNCT
cana-1240	47	12	fuzsquresmobilenet	fuzsquresmobilenet	NOUN
cana-1240	47	13	,	,	PUNCT
cana-1240	47	14	"	"	PUNCT
cana-1240	47	15	is	be	AUX
cana-1240	47	16	its	its	PRON
cana-1240	47	17	combination	combination	NOUN
cana-1240	47	18	of	of	ADP
cana-1240	47	19	a	a	DET
cana-1240	47	20	complex	complex	ADJ
cana-1240	47	21	ensemble	ensemble	ADJ
cana-1240	47	22	of	of	ADP
cana-1240	47	23	pre	pre	ADJ
cana-1240	47	24	-	-	ADJ
cana-1240	47	25	trained	train	VERB
cana-1240	47	26	deep	deep	ADJ
cana-1240	47	27	learning	learning	NOUN
cana-1240	47	28	models	model	NOUN
cana-1240	47	29	with	with	ADP
cana-1240	47	30	fuzzy	fuzzy	ADJ
cana-1240	47	31	logic	logic	NOUN
cana-1240	47	32	-	-	PUNCT
cana-1240	47	33	based	base	VERB
cana-1240	47	34	preliminary	preliminary	ADJ
cana-1240	47	35	detection	detection	NOUN
cana-1240	47	36	.	.	PUNCT
cana-1240	48	1	the	the	DET
cana-1240	48	2	structure	structure	NOUN
cana-1240	48	3	of	of	ADP
cana-1240	48	4	this	this	DET
cana-1240	48	5	study	study	NOUN
cana-1240	48	6	is	be	AUX
cana-1240	48	7	as	as	SCONJ
cana-1240	48	8	follows	follow	VERB
cana-1240	48	9	:	:	PUNCT
cana-1240	48	10	section	section	NOUN
cana-1240	48	11	2	2	NUM
cana-1240	48	12	represents	represent	VERB
cana-1240	48	13	a	a	DET
cana-1240	48	14	review	review	NOUN
cana-1240	48	15	of	of	ADP
cana-1240	48	16	the	the	DET
cana-1240	48	17	relevant	relevant	ADJ
cana-1240	48	18	literature	literature	NOUN
cana-1240	48	19	.	.	PUNCT
cana-1240	49	1	section	section	NOUN
cana-1240	49	2	3	3	NUM
cana-1240	49	3	delves	delf	NOUN
cana-1240	49	4	into	into	ADP
cana-1240	49	5	the	the	DET
cana-1240	49	6	proposed	propose	VERB
cana-1240	49	7	method	method	NOUN
cana-1240	49	8	,	,	PUNCT
cana-1240	49	9	and	and	CCONJ
cana-1240	49	10	section	section	NOUN
cana-1240	49	11	4	4	NUM
cana-1240	49	12	discusses	discuss	VERB
cana-1240	49	13	the	the	PRON
cana-1240	49	14	attained	attain	VERB
cana-1240	49	15	outcomes	outcome	NOUN
cana-1240	49	16	.	.	PUNCT
cana-1240	50	1	lastly	lastly	ADV
cana-1240	50	2	,	,	PUNCT
cana-1240	50	3	section	section	NOUN
cana-1240	50	4	5	5	NUM
cana-1240	50	5	concludes	conclude	VERB
cana-1240	50	6	the	the	DET
cana-1240	50	7	paper	paper	NOUN
cana-1240	50	8	.	.	PUNCT
cana-1240	51	1	2	2	X
cana-1240	51	2	.	.	X
cana-1240	51	3	literature	literature	NOUN
cana-1240	51	4	survey	survey	NOUN
cana-1240	51	5	:	:	PUNCT
cana-1240	51	6	“	"	PUNCT
cana-1240	51	7	some	some	PRON
cana-1240	51	8	of	of	ADP
cana-1240	51	9	the	the	DET
cana-1240	51	10	recent	recent	ADJ
cana-1240	51	11	study	study	NOUN
cana-1240	51	12	related	relate	VERB
cana-1240	51	13	to	to	ADP
cana-1240	51	14	lung	lung	NOUN
cana-1240	51	15	cancer	cancer	NOUN
cana-1240	51	16	detection	detection	NOUN
cana-1240	51	17	were	be	AUX
cana-1240	51	18	reviewed	review	VERB
cana-1240	51	19	in	in	ADP
cana-1240	51	20	this	this	DET
cana-1240	51	21	section	section	NOUN
cana-1240	51	22	”	"	PUNCT
cana-1240	51	23	khalil	khalil	PROPN
cana-1240	51	24	,	,	PUNCT
cana-1240	51	25	et	et	PROPN
cana-1240	51	26	al	al	PROPN
cana-1240	51	27	.	.	PROPN
cana-1240	51	28	,	,	PUNCT
cana-1240	51	29	(	(	PUNCT
cana-1240	51	30	2020	2020	NUM
cana-1240	51	31	)	)	PUNCT
cana-1240	52	1	[	[	X
cana-1240	52	2	16	16	NUM
cana-1240	52	3	]	]	PUNCT
cana-1240	52	4	have	have	AUX
cana-1240	52	5	created	create	VERB
cana-1240	52	6	a	a	DET
cana-1240	52	7	novel	novel	ADJ
cana-1240	52	8	fuzzy	fuzzy	ADJ
cana-1240	52	9	soft	soft	ADJ
cana-1240	52	10	expert	expert	NOUN
cana-1240	52	11	system	system	NOUN
cana-1240	52	12	to	to	PART
cana-1240	52	13	forecast	forecast	VERB
cana-1240	52	14	the	the	DET
cana-1240	52	15	occurrence	occurrence	NOUN
cana-1240	52	16	of	of	ADP
cana-1240	52	17	lung	lung	NOUN
cana-1240	52	18	cancer	cancer	NOUN
cana-1240	52	19	.	.	PUNCT
cana-1240	53	1	there	there	PRON
cana-1240	53	2	were	be	VERB
cana-1240	53	3	four	four	NUM
cana-1240	53	4	primary	primary	ADJ
cana-1240	53	5	steps	step	NOUN
cana-1240	53	6	involved	involve	VERB
cana-1240	53	7	in	in	ADP
cana-1240	53	8	the	the	DET
cana-1240	53	9	forecast	forecast	NOUN
cana-1240	53	10	process	process	NOUN
cana-1240	53	11	with	with	ADP
cana-1240	53	12	this	this	DET
cana-1240	53	13	fuzzy	fuzzy	ADJ
cana-1240	53	14	soft	soft	ADJ
cana-1240	53	15	expert	expert	NOUN
cana-1240	53	16	system	system	NOUN
cana-1240	53	17	:	:	PUNCT
cana-1240	53	18	(	(	PUNCT
cana-1240	53	19	1	1	X
cana-1240	53	20	)	)	PUNCT
cana-1240	53	21	real	real	ADV
cana-1240	53	22	-	-	PUNCT
cana-1240	53	23	valued	value	VERB
cana-1240	53	24	inputs	input	NOUN
cana-1240	53	25	were	be	AUX
cana-1240	53	26	transformed	transform	VERB
cana-1240	53	27	into	into	ADP
cana-1240	53	28	fuzzy	fuzzy	ADJ
cana-1240	53	29	numbers	number	NOUN
cana-1240	53	30	.	.	PUNCT
cana-1240	54	1	(	(	PUNCT
cana-1240	54	2	2	2	X
cana-1240	54	3	)	)	PUNCT
cana-1240	54	4	fuzzy	fuzzy	ADJ
cana-1240	54	5	soft	soft	ADJ
cana-1240	54	6	sets	set	NOUN
cana-1240	54	7	were	be	AUX
cana-1240	54	8	created	create	VERB
cana-1240	54	9	from	from	ADP
cana-1240	54	10	the	the	DET
cana-1240	54	11	fuzzy	fuzzy	ADJ
cana-1240	54	12	numbers	number	NOUN
cana-1240	54	13	in	in	ADP
cana-1240	54	14	the	the	DET
cana-1240	54	15	data	datum	NOUN
cana-1240	54	16	.	.	PUNCT
cana-1240	55	1	(	(	PUNCT
cana-1240	55	2	3	3	X
cana-1240	55	3	)	)	PUNCT
cana-1240	55	4	the	the	DET
cana-1240	55	5	normal	normal	ADJ
cana-1240	55	6	parameter	parameter	NOUN
cana-1240	55	7	reduction	reduction	NOUN
cana-1240	55	8	method	method	NOUN
cana-1240	55	9	was	be	AUX
cana-1240	55	10	used	use	VERB
cana-1240	55	11	to	to	PART
cana-1240	55	12	reduce	reduce	VERB
cana-1240	55	13	the	the	DET
cana-1240	55	14	resulting	result	VERB
cana-1240	55	15	fuzzy	fuzzy	ADJ
cana-1240	55	16	soft	soft	ADJ
cana-1240	55	17	set	set	VERB
cana-1240	55	18	family	family	NOUN
cana-1240	55	19	into	into	ADP
cana-1240	55	20	a	a	DET
cana-1240	55	21	new	new	ADJ
cana-1240	55	22	fuzzy	fuzzy	ADJ
cana-1240	55	23	soft	soft	ADJ
cana-1240	55	24	set	set	NOUN
cana-1240	55	25	family	family	NOUN
cana-1240	55	26	.	.	PUNCT
cana-1240	56	1	the	the	DET
cana-1240	56	2	suggested	suggest	VERB
cana-1240	56	3	algorithm	algorithm	NOUN
cana-1240	56	4	was	be	AUX
cana-1240	56	5	applied	apply	VERB
cana-1240	56	6	in	in	ADP
cana-1240	56	7	order	order	NOUN
cana-1240	56	8	to	to	PART
cana-1240	56	9	acquire	acquire	VERB
cana-1240	56	10	the	the	DET
cana-1240	56	11	resultant	resultant	NOUN
cana-1240	56	12	data	datum	NOUN
cana-1240	56	13	.	.	PUNCT
cana-1240	57	1	45	45	NUM
cana-1240	57	2	patients	patient	NOUN
cana-1240	57	3	,	,	PUNCT
cana-1240	57	4	15	15	NUM
cana-1240	57	5	females	female	NOUN
cana-1240	57	6	and	and	CCONJ
cana-1240	57	7	30	30	NUM
cana-1240	57	8	males	male	NOUN
cana-1240	57	9	who	who	PRON
cana-1240	57	10	were	be	AUX
cana-1240	57	11	receiving	receive	VERB
cana-1240	57	12	treatment	treatment	NOUN
cana-1240	57	13	in	in	ADP
cana-1240	57	14	the	the	DET
cana-1240	57	15	respiratory	respiratory	ADJ
cana-1240	57	16	department	department	NOUN
cana-1240	57	17	of	of	ADP
cana-1240	57	18	nanjing	nanjing	PROPN
cana-1240	57	19	chest	chest	PROPN
cana-1240	57	20	hospital	hospital	PROPN
cana-1240	57	21	in	in	ADP
cana-1240	57	22	china	china	PROPN
cana-1240	57	23	participated	participate	VERB
cana-1240	57	24	in	in	ADP
cana-1240	57	25	an	an	DET
cana-1240	57	26	experiment	experiment	NOUN
cana-1240	57	27	.	.	PUNCT
cana-1240	58	1	all	all	PRON
cana-1240	58	2	of	of	ADP
cana-1240	58	3	the	the	DET
cana-1240	58	4	patients	patient	NOUN
cana-1240	58	5	were	be	AUX
cana-1240	58	6	cigarette	cigarette	NOUN
cana-1240	58	7	smokers	smoker	NOUN
cana-1240	58	8	.	.	PUNCT
cana-1240	59	1	palani	palani	PROPN
cana-1240	59	2	,	,	PUNCT
cana-1240	59	3	and	and	CCONJ
cana-1240	59	4	venkatalakshmi	venkatalakshmi	ADJ
cana-1240	59	5	,	,	PUNCT
cana-1240	59	6	(	(	PUNCT
cana-1240	59	7	2019	2019	NUM
cana-1240	59	8	)	)	PUNCT
cana-1240	60	1	[	[	X
cana-1240	60	2	17	17	NUM
cana-1240	60	3	]	]	PUNCT
cana-1240	60	4	have	have	AUX
cana-1240	60	5	suggested	suggest	VERB
cana-1240	60	6	an	an	DET
cana-1240	60	7	approach	approach	NOUN
cana-1240	60	8	for	for	ADP
cana-1240	60	9	internet	internet	NOUN
cana-1240	60	10	of	of	ADP
cana-1240	60	11	things	thing	NOUN
cana-1240	60	12	(	(	PUNCT
cana-1240	60	13	iot)based	iot)base	VERB
cana-1240	60	14	modelling	modelling	NOUN
cana-1240	60	15	of	of	ADP
cana-1240	60	16	prediction	prediction	NOUN
cana-1240	60	17	that	that	PRON
cana-1240	60	18	can	can	AUX
cana-1240	60	19	be	be	AUX
cana-1240	60	20	used	use	VERB
cana-1240	60	21	to	to	PART
cana-1240	60	22	predict	predict	VERB
cana-1240	60	23	the	the	DET
cana-1240	60	24	occurrence	occurrence	NOUN
cana-1240	60	25	of	of	ADP
cana-1240	60	26	lung	lung	NOUN
cana-1240	60	27	cancer	cancer	NOUN
cana-1240	60	28	disease	disease	NOUN
cana-1240	60	29	:	:	PUNCT
cana-1240	60	30	fuzzy	fuzzy	ADJ
cana-1240	60	31	cluster	cluster	NOUN
cana-1240	60	32	-	-	PUNCT
cana-1240	60	33	based	base	VERB
cana-1240	60	34	enhancement	enhancement	NOUN
cana-1240	60	35	and	and	CCONJ
cana-1240	60	36	classification	classification	NOUN
cana-1240	60	37	.	.	PUNCT
cana-1240	61	1	through	through	ADP
cana-1240	61	2	continuous	continuous	ADJ
cana-1240	61	3	surveillance	surveillance	NOUN
cana-1240	61	4	and	and	CCONJ
cana-1240	61	5	enhance	enhance	VERB
cana-1240	61	6	healthcare	healthcare	NOUN
cana-1240	61	7	by	by	ADP
cana-1240	61	8	delivering	deliver	VERB
cana-1240	61	9	medication	medication	NOUN
cana-1240	61	10	instructions	instruction	NOUN
cana-1240	61	11	.	.	PUNCT
cana-1240	62	1	for	for	ADP
cana-1240	62	2	efficient	efficient	ADJ
cana-1240	62	3	image	image	NOUN
cana-1240	62	4	segmentation	segmentation	NOUN
cana-1240	62	5	,	,	PUNCT
cana-1240	62	6	they	they	PRON
cana-1240	62	7	used	use	VERB
cana-1240	62	8	the	the	DET
cana-1240	62	9	fuzzy	fuzzy	ADJ
cana-1240	62	10	clustering	clustering	NOUN
cana-1240	62	11	technique	technique	NOUN
cana-1240	62	12	,	,	PUNCT
cana-1240	62	13	that	that	PRON
cana-1240	62	14	uses	use	VERB
cana-1240	62	15	transition	transition	NOUN
cana-1240	62	16	region	region	NOUN
cana-1240	62	17	extraction	extraction	NOUN
cana-1240	62	18	as	as	ADP
cana-1240	62	19	its	its	PRON
cana-1240	62	20	foundation	foundation	NOUN
cana-1240	62	21	.	.	PUNCT
cana-1240	63	1	fuzzy	fuzzy	ADJ
cana-1240	63	2	c	c	NOUN
cana-1240	63	3	-	-	PUNCT
cana-1240	63	4	means	means	NOUN
cana-1240	63	5	clustering	clustering	NOUN
cana-1240	63	6	was	be	AUX
cana-1240	63	7	also	also	ADV
cana-1240	63	8	used	use	VERB
cana-1240	63	9	to	to	PART
cana-1240	63	10	classify	classify	VERB
cana-1240	63	11	transitional	transitional	ADJ
cana-1240	63	12	region	region	NOUN
cana-1240	63	13	features	feature	VERB
cana-1240	63	14	from	from	ADP
cana-1240	63	15	lung	lung	NOUN
cana-1240	63	16	cancer	cancer	NOUN
cana-1240	63	17	image	image	NOUN
cana-1240	63	18	characteristics	characteristic	NOUN
cana-1240	63	19	.	.	PUNCT
cana-1240	64	1	the	the	DET
cana-1240	64	2	otsu	otsu	NOUN
cana-1240	64	3	thresholding	thresholding	NOUN
cana-1240	64	4	technique	technique	NOUN
cana-1240	64	5	was	be	AUX
cana-1240	64	6	utilized	utilize	VERB
cana-1240	64	7	to	to	PART
cana-1240	64	8	extract	extract	VERB
cana-1240	64	9	the	the	DET
cana-1240	64	10	transition	transition	NOUN
cana-1240	64	11	region	region	NOUN
cana-1240	64	12	from	from	ADP
cana-1240	64	13	images	image	NOUN
cana-1240	64	14	of	of	ADP
cana-1240	64	15	lung	lung	NOUN
cana-1240	64	16	cancer	cancer	NOUN
cana-1240	64	17	.	.	PUNCT
cana-1240	65	1	additionally	additionally	ADV
cana-1240	65	2	,	,	PUNCT
cana-1240	65	3	the	the	DET
cana-1240	65	4	segmentation	segmentation	NOUN
cana-1240	65	5	performance	performance	NOUN
cana-1240	65	6	was	be	AUX
cana-1240	65	7	improved	improve	VERB
cana-1240	65	8	by	by	ADP
cana-1240	65	9	using	use	VERB
cana-1240	65	10	the	the	DET
cana-1240	65	11	morphological	morphological	ADJ
cana-1240	65	12	thinning	thin	VERB
cana-1240	65	13	operation	operation	NOUN
cana-1240	65	14	and	and	CCONJ
cana-1240	65	15	the	the	DET
cana-1240	65	16	right	right	ADJ
cana-1240	65	17	edge	edge	NOUN
cana-1240	65	18	image	image	NOUN
cana-1240	65	19	.	.	PUNCT
cana-1240	66	1	hatuwal	hatuwal	NOUN
cana-1240	66	2	,	,	PUNCT
cana-1240	66	3	and	and	CCONJ
cana-1240	66	4	thapa	thapa	PROPN
cana-1240	66	5	,	,	PUNCT
cana-1240	66	6	(	(	PUNCT
cana-1240	66	7	2020	2020	NUM
cana-1240	66	8	)	)	PUNCT
cana-1240	67	1	[	[	X
cana-1240	67	2	18	18	NUM
cana-1240	67	3	]	]	PUNCT
cana-1240	67	4	have	have	AUX
cana-1240	67	5	presented	present	VERB
cana-1240	67	6	lung	lung	NOUN
cana-1240	67	7	cancer	cancer	NOUN
cana-1240	67	8	recognizing	recognize	VERB
cana-1240	67	9	using	use	VERB
cana-1240	67	10	histopathological	histopathological	ADJ
cana-1240	67	11	images	image	NOUN
cana-1240	67	12	.	.	PUNCT
cana-1240	68	1	for	for	ADP
cana-1240	68	2	diagnosis	diagnosis	NOUN
cana-1240	68	3	,	,	PUNCT
cana-1240	68	4	doctors	doctor	NOUN
cana-1240	68	5	used	use	VERB
cana-1240	68	6	histopathological	histopathological	ADJ
cana-1240	68	7	pictures	picture	NOUN
cana-1240	68	8	of	of	ADP
cana-1240	68	9	tissue	tissue	NOUN
cana-1240	68	10	biopsies	biopsy	NOUN
cana-1240	68	11	from	from	ADP
cana-1240	68	12	possibly	possibly	ADV
cana-1240	68	13	infected	infected	ADJ
cana-1240	68	14	lung	lung	NOUN
cana-1240	68	15	regions	region	NOUN
cana-1240	68	16	.	.	PUNCT
cana-1240	69	1	cnn	cnn	PROPN
cana-1240	69	2	were	be	AUX
cana-1240	69	3	used	use	VERB
cana-1240	69	4	to	to	PART
cana-1240	69	5	quickly	quickly	ADV
cana-1240	69	6	and	and	CCONJ
cana-1240	69	7	more	more	ADV
cana-1240	69	8	accurately	accurately	ADV
cana-1240	69	9	identify	identify	VERB
cana-1240	69	10	and	and	CCONJ
cana-1240	69	11	classify	classify	VERB
cana-1240	69	12	different	different	ADJ
cana-1240	69	13	types	type	NOUN
cana-1240	69	14	of	of	ADP
cana-1240	69	15	lung	lung	NOUN
cana-1240	69	16	cancer	cancer	NOUN
cana-1240	69	17	,	,	PUNCT
cana-1240	69	18	which	which	PRON
cana-1240	69	19	is	be	AUX
cana-1240	69	20	important	important	ADJ
cana-1240	69	21	for	for	ADP
cana-1240	69	22	choosing	choose	VERB
cana-1240	69	23	the	the	DET
cana-1240	69	24	best	good	ADJ
cana-1240	69	25	course	course	NOUN
cana-1240	69	26	of	of	ADP
cana-1240	69	27	treatment	treatment	NOUN
cana-1240	69	28	and	and	CCONJ
cana-1240	69	29	increasing	increase	VERB
cana-1240	69	30	patient	patient	ADJ
cana-1240	69	31	survival	survival	NOUN
cana-1240	69	32	.	.	PUNCT
cana-1240	70	1	an	an	DET
cana-1240	70	2	image	image	NOUN
cana-1240	70	3	was	be	AUX
cana-1240	70	4	classified	classify	VERB
cana-1240	70	5	into	into	ADP
cana-1240	70	6	three	three	NUM
cana-1240	70	7	categories	category	NOUN
cana-1240	70	8	using	use	VERB
cana-1240	70	9	a	a	DET
cana-1240	70	10	cnn	cnn	NOUN
cana-1240	70	11	:	:	PUNCT
cana-1240	70	12	benign	benign	ADJ
cana-1240	70	13	,	,	PUNCT
cana-1240	70	14	adenocarcinoma	adenocarcinoma	NOUN
cana-1240	70	15	,	,	PUNCT
cana-1240	70	16	and	and	CCONJ
cana-1240	70	17	squamous	squamous	ADJ
cana-1240	70	18	cell	cell	NOUN
cana-1240	70	19	carcinoma	carcinoma	NOUN
cana-1240	70	20	.	.	PUNCT
cana-1240	71	1	mishra	mishra	PROPN
cana-1240	71	2	.	.	PROPN
cana-1240	71	3	,	,	PUNCT
cana-1240	71	4	et	et	PROPN
cana-1240	71	5	al	al	PROPN
cana-1240	71	6	.	.	PROPN
cana-1240	71	7	,	,	PUNCT
cana-1240	71	8	(	(	PUNCT
cana-1240	71	9	2021	2021	NUM
cana-1240	71	10	)	)	PUNCT
cana-1240	72	1	[	[	X
cana-1240	72	2	19	19	NUM
cana-1240	72	3	]	]	PUNCT
cana-1240	72	4	have	have	AUX
cana-1240	72	5	offered	offer	VERB
cana-1240	72	6	as	as	ADP
cana-1240	72	7	a	a	DET
cana-1240	72	8	way	way	NOUN
cana-1240	72	9	to	to	PART
cana-1240	72	10	combine	combine	VERB
cana-1240	72	11	computational	computational	ADJ
cana-1240	72	12	intelligence	intelligence	NOUN
cana-1240	72	13	with	with	ADP
cana-1240	72	14	the	the	DET
cana-1240	72	15	internet	internet	NOUN
cana-1240	72	16	of	of	ADP
cana-1240	72	17	health	health	NOUN
cana-1240	72	18	things	thing	NOUN
cana-1240	72	19	(	(	PUNCT
cana-1240	72	20	ioht	ioht	ADV
cana-1240	72	21	)	)	PUNCT
cana-1240	72	22	to	to	PART
cana-1240	72	23	detect	detect	VERB
cana-1240	72	24	lung	lung	NOUN
cana-1240	72	25	cancer.the	cancer.the	DET
cana-1240	72	26	random	random	ADJ
cana-1240	72	27	forest	forest	NOUN
cana-1240	72	28	algorithm	algorithm	NOUN
cana-1240	72	29	is	be	AUX
cana-1240	72	30	used	use	VERB
cana-1240	72	31	to	to	PART
cana-1240	72	32	classify	classify	VERB
cana-1240	72	33	and	and	CCONJ
cana-1240	72	34	distinguish	distinguish	VERB
cana-1240	72	35	lung	lung	NOUN
cana-1240	72	36	cancer	cancer	NOUN
cana-1240	72	37	patients	patient	NOUN
cana-1240	72	38	from	from	ADP
cana-1240	72	39	healthy	healthy	ADJ
cana-1240	72	40	individuals	individual	NOUN
cana-1240	72	41	after	after	SCONJ
cana-1240	72	42	the	the	DET
cana-1240	72	43	heuristic	heuristic	ADJ
cana-1240	72	44	greedy	greedy	ADJ
cana-1240	72	45	best	good	ADJ
cana-1240	72	46	first	first	ADJ
cana-1240	72	47	search	search	NOUN
cana-1240	72	48	(	(	PUNCT
cana-1240	72	49	gbfs	gbfs	NOUN
cana-1240	72	50	)	)	PUNCT
cana-1240	72	51	algorithm	algorithm	NOUN
cana-1240	72	52	has	have	AUX
cana-1240	72	53	selected	select	VERB
cana-1240	72	54	the	the	DET
cana-1240	72	55	most	most	ADV
cana-1240	72	56	pertinent	pertinent	ADJ
cana-1240	72	57	attributes	attribute	NOUN
cana-1240	72	58	from	from	ADP
cana-1240	72	59	the	the	DET
cana-1240	72	60	lung	lung	NOUN
cana-1240	72	61	cancer	cancer	NOUN
cana-1240	72	62	data	datum	NOUN
cana-1240	72	63	.	.	PUNCT
cana-1240	73	1	a	a	DET
cana-1240	73	2	sustainable	sustainable	ADJ
cana-1240	73	3	prototype	prototype	NOUN
cana-1240	73	4	approach	approach	NOUN
cana-1240	73	5	to	to	ADP
cana-1240	73	6	the	the	DET
cana-1240	73	7	treatment	treatment	NOUN
cana-1240	73	8	of	of	ADP
cana-1240	73	9	lung	lung	NOUN
cana-1240	73	10	cancer	cancer	NOUN
cana-1240	73	11	was	be	AUX
cana-1240	73	12	created	create	VERB
cana-1240	73	13	by	by	ADP
cana-1240	73	14	utilizing	utilize	VERB
cana-1240	73	15	the	the	DET
cana-1240	73	16	most	most	ADV
cana-1240	73	17	recent	recent	ADJ
cana-1240	73	18	technological	technological	ADJ
cana-1240	73	19	advancements	advancement	NOUN
cana-1240	73	20	in	in	ADP
cana-1240	73	21	the	the	DET
cana-1240	73	22	form	form	NOUN
cana-1240	73	23	of	of	ADP
cana-1240	73	24	computational	computational	ADJ
cana-1240	73	25	intelligence	intelligence	NOUN
cana-1240	73	26	and	and	CCONJ
cana-1240	73	27	the	the	DET
cana-1240	73	28	internet	internet	NOUN
cana-1240	73	29	of	of	ADP
cana-1240	73	30	things	thing	NOUN
cana-1240	73	31	.	.	PUNCT
cana-1240	74	1	this	this	DET
cana-1240	74	2	communications	communication	NOUN
cana-1240	74	3	on	on	ADP
cana-1240	74	4	applied	apply	VERB
cana-1240	74	5	nonlinear	nonlinear	ADJ
cana-1240	74	6	analysis	analysis	NOUN
cana-1240	74	7	issn	issn	NOUN
cana-1240	74	8	:	:	PUNCT
cana-1240	74	9	1074	1074	NUM
cana-1240	74	10	-	-	PUNCT
cana-1240	74	11	133x	133x	NUM
cana-1240	74	12	vol	vol	NOUN
cana-1240	74	13	31	31	NUM
cana-1240	74	14	no	no	NOUN
cana-1240	74	15	.	.	PUNCT
cana-1240	75	1	6s	6s	NUM
cana-1240	75	2	(	(	PUNCT
cana-1240	75	3	2024	2024	NUM
cana-1240	75	4	)	)	PUNCT
cana-1240	75	5	502	502	NUM
cana-1240	75	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1240	75	7	study	study	NOUN
cana-1240	75	8	develops	develop	VERB
cana-1240	75	9	an	an	DET
cana-1240	75	10	ioht	ioht	ADV
cana-1240	75	11	-	-	PUNCT
cana-1240	75	12	based	base	VERB
cana-1240	75	13	lung	lung	NOUN
cana-1240	75	14	cancer	cancer	NOUN
cana-1240	75	15	detection	detection	NOUN
cana-1240	75	16	model	model	NOUN
cana-1240	75	17	that	that	PRON
cana-1240	75	18	is	be	AUX
cana-1240	75	19	both	both	CCONJ
cana-1240	75	20	automated	automate	VERB
cana-1240	75	21	and	and	CCONJ
cana-1240	75	22	computationally	computationally	ADV
cana-1240	75	23	intelligent	intelligent	ADJ
cana-1240	75	24	.	.	PUNCT
cana-1240	76	1	jalaldeen	jalaldeen	PROPN
cana-1240	76	2	,	,	PUNCT
cana-1240	76	3	et	et	PROPN
cana-1240	76	4	al	al	PROPN
cana-1240	76	5	.	.	PROPN
cana-1240	76	6	,	,	PUNCT
cana-1240	76	7	(	(	PUNCT
cana-1240	76	8	2021	2021	NUM
cana-1240	76	9	)	)	PUNCT
cana-1240	77	1	[	[	X
cana-1240	77	2	20	20	NUM
cana-1240	77	3	]	]	PUNCT
cana-1240	77	4	have	have	AUX
cana-1240	77	5	developed	develop	VERB
cana-1240	77	6	a	a	DET
cana-1240	77	7	technique	technique	NOUN
cana-1240	77	8	for	for	ADP
cana-1240	77	9	segmenting	segment	VERB
cana-1240	77	10	images	image	NOUN
cana-1240	77	11	using	use	VERB
cana-1240	77	12	gaussian	gaussian	ADJ
cana-1240	77	13	mixture	mixture	NOUN
cana-1240	77	14	models	model	NOUN
cana-1240	77	15	and	and	CCONJ
cana-1240	77	16	the	the	DET
cana-1240	77	17	mean	mean	ADJ
cana-1240	77	18	-	-	PUNCT
cana-1240	77	19	shift	shift	NOUN
cana-1240	77	20	clustering	clustering	ADJ
cana-1240	77	21	algorithm	algorithm	NOUN
cana-1240	77	22	.	.	PUNCT
cana-1240	78	1	a	a	DET
cana-1240	78	2	mode	mode	NOUN
cana-1240	78	3	-	-	PUNCT
cana-1240	78	4	seeking	seek	VERB
cana-1240	78	5	algorithm	algorithm	NOUN
cana-1240	78	6	was	be	AUX
cana-1240	78	7	implemented	implement	VERB
cana-1240	78	8	using	use	VERB
cana-1240	78	9	mean	mean	NOUN
cana-1240	78	10	shift	shift	NOUN
cana-1240	78	11	,	,	PUNCT
cana-1240	78	12	a	a	DET
cana-1240	78	13	non	non	ADJ
cana-1240	78	14	-	-	ADJ
cana-1240	78	15	parametric	parametric	ADJ
cana-1240	78	16	feature	feature	NOUN
cana-1240	78	17	-	-	PUNCT
cana-1240	78	18	space	space	NOUN
cana-1240	78	19	analysis	analysis	NOUN
cana-1240	78	20	technique	technique	NOUN
cana-1240	78	21	to	to	PART
cana-1240	78	22	find	find	VERB
cana-1240	78	23	the	the	DET
cana-1240	78	24	maxima	maxima	NOUN
cana-1240	78	25	of	of	ADP
cana-1240	78	26	a	a	DET
cana-1240	78	27	density	density	NOUN
cana-1240	78	28	function	function	NOUN
cana-1240	78	29	.	.	PUNCT
cana-1240	79	1	using	use	VERB
cana-1240	79	2	the	the	DET
cana-1240	79	3	new	new	ADJ
cana-1240	79	4	advanced	advanced	ADJ
cana-1240	79	5	ct	ct	PROPN
cana-1240	79	6	scan	scan	NOUN
cana-1240	79	7	,	,	PUNCT
cana-1240	79	8	the	the	DET
cana-1240	79	9	suspicious	suspicious	ADJ
cana-1240	79	10	region	region	NOUN
cana-1240	79	11	of	of	ADP
cana-1240	79	12	the	the	DET
cana-1240	79	13	lung	lung	NOUN
cana-1240	79	14	tumor	tumor	NOUN
cana-1240	79	15	was	be	AUX
cana-1240	79	16	reduced	reduce	VERB
cana-1240	79	17	by	by	ADP
cana-1240	79	18	applying	apply	VERB
cana-1240	79	19	the	the	DET
cana-1240	79	20	multi	multi	ADJ
cana-1240	79	21	-	-	ADJ
cana-1240	79	22	level	level	ADJ
cana-1240	79	23	classifier	classifier	NOUN
cana-1240	79	24	segmentation	segmentation	NOUN
cana-1240	79	25	technique	technique	NOUN
cana-1240	79	26	that	that	PRON
cana-1240	79	27	was	be	AUX
cana-1240	79	28	proposed	propose	VERB
cana-1240	79	29	.	.	PUNCT
cana-1240	80	1	in	in	ADP
cana-1240	80	2	addition	addition	NOUN
cana-1240	80	3	,	,	PUNCT
cana-1240	80	4	a	a	DET
cana-1240	80	5	novel	novel	ADJ
cana-1240	80	6	fuzzy	fuzzy	ADV
cana-1240	80	7	-	-	PUNCT
cana-1240	80	8	based	base	VERB
cana-1240	80	9	multi	multi	ADJ
cana-1240	80	10	-	-	ADJ
cana-1240	80	11	level	level	ADJ
cana-1240	80	12	classifier	classifier	NOUN
cana-1240	80	13	was	be	AUX
cana-1240	80	14	presented	present	VERB
cana-1240	80	15	that	that	PRON
cana-1240	80	16	uses	uses	AUX
cana-1240	80	17	extracted	extract	VERB
cana-1240	80	18	textural	textural	ADJ
cana-1240	80	19	features	feature	NOUN
cana-1240	80	20	to	to	PART
cana-1240	80	21	classify	classify	VERB
cana-1240	80	22	ct	ct	NUM
cana-1240	80	23	scan	scan	ADJ
cana-1240	80	24	snapshots	snapshot	NOUN
cana-1240	80	25	.	.	PUNCT
cana-1240	81	1	prasad	prasad	PROPN
cana-1240	81	2	,	,	PUNCT
cana-1240	81	3	j.	j.	PROPN
cana-1240	81	4	,	,	PUNCT
cana-1240	81	5	et	et	PROPN
cana-1240	81	6	al	al	PROPN
cana-1240	81	7	.	.	PROPN
cana-1240	81	8	,	,	PUNCT
cana-1240	81	9	(	(	PUNCT
cana-1240	81	10	2022	2022	NUM
cana-1240	81	11	)	)	PUNCT
cana-1240	82	1	[	[	X
cana-1240	82	2	21	21	NUM
cana-1240	82	3	]	]	PUNCT
cana-1240	82	4	have	have	AUX
cana-1240	82	5	suggested	suggest	VERB
cana-1240	82	6	a	a	DET
cana-1240	82	7	segmentation	segmentation	NOUN
cana-1240	82	8	strategy	strategy	NOUN
cana-1240	82	9	for	for	ADP
cana-1240	82	10	lung	lung	NOUN
cana-1240	82	11	cancer	cancer	NOUN
cana-1240	82	12	.	.	PUNCT
cana-1240	83	1	after	after	ADP
cana-1240	83	2	the	the	DET
cana-1240	83	3	input	input	NOUN
cana-1240	83	4	ct	ct	PROPN
cana-1240	83	5	image	image	NOUN
cana-1240	83	6	underwent	underwent	NOUN
cana-1240	83	7	pre	pre	NOUN
cana-1240	83	8	-	-	NOUN
cana-1240	83	9	processing	processing	ADJ
cana-1240	83	10	to	to	PART
cana-1240	83	11	remove	remove	VERB
cana-1240	83	12	noise	noise	NOUN
cana-1240	83	13	,	,	PUNCT
cana-1240	83	14	texture	texture	NOUN
cana-1240	83	15	features	feature	NOUN
cana-1240	83	16	were	be	AUX
cana-1240	83	17	obtainedfrom	obtainedfrom	ADP
cana-1240	83	18	the	the	DET
cana-1240	83	19	processed	process	VERB
cana-1240	83	20	image	image	NOUN
cana-1240	83	21	.	.	PUNCT
cana-1240	84	1	the	the	DET
cana-1240	84	2	crow	crow	NOUN
cana-1240	84	3	search	search	NOUN
cana-1240	84	4	optimization	optimization	NOUN
cana-1240	84	5	algorithm	algorithm	NOUN
cana-1240	84	6	was	be	AUX
cana-1240	84	7	used	use	VERB
cana-1240	84	8	to	to	PART
cana-1240	84	9	select	select	VERB
cana-1240	84	10	features	feature	NOUN
cana-1240	84	11	in	in	ADP
cana-1240	84	12	the	the	DET
cana-1240	84	13	following	follow	VERB
cana-1240	84	14	phase	phase	NOUN
cana-1240	84	15	.	.	PUNCT
cana-1240	85	1	later	later	ADV
cana-1240	85	2	,	,	PUNCT
cana-1240	85	3	the	the	DET
cana-1240	85	4	distinction	distinction	NOUN
cana-1240	85	5	between	between	ADP
cana-1240	85	6	abnormal	abnormal	ADJ
cana-1240	85	7	and	and	CCONJ
cana-1240	85	8	normal	normal	ADJ
cana-1240	85	9	lung	lung	NOUN
cana-1240	85	10	images	image	NOUN
cana-1240	85	11	was	be	AUX
cana-1240	85	12	made	make	VERB
cana-1240	85	13	using	use	VERB
cana-1240	85	14	an	an	DET
cana-1240	85	15	artificial	artificial	ADJ
cana-1240	85	16	neural	neural	ADJ
cana-1240	85	17	network	network	NOUN
cana-1240	85	18	.	.	PUNCT
cana-1240	86	1	ultimately	ultimately	ADV
cana-1240	86	2	,	,	PUNCT
cana-1240	86	3	abnormal	abnormal	ADJ
cana-1240	86	4	images	image	NOUN
cana-1240	86	5	were	be	AUX
cana-1240	86	6	segmented	segment	VERB
cana-1240	86	7	separately	separately	ADV
cana-1240	86	8	using	use	VERB
cana-1240	86	9	the	the	DET
cana-1240	86	10	fuzzy	fuzzy	ADJ
cana-1240	86	11	k	k	ADJ
cana-1240	86	12	-	-	PUNCT
cana-1240	86	13	means	means	NOUN
cana-1240	86	14	algorithm	algorithm	NOUN
cana-1240	86	15	.	.	PUNCT
cana-1240	87	1	an	an	DET
cana-1240	87	2	svm	svm	PROPN
cana-1240	87	3	classifier	classifier	NOUN
cana-1240	87	4	was	be	AUX
cana-1240	87	5	employed	employ	VERB
cana-1240	87	6	in	in	ADP
cana-1240	87	7	the	the	DET
cana-1240	87	8	second	second	ADJ
cana-1240	87	9	phase	phase	NOUN
cana-1240	87	10	to	to	PART
cana-1240	87	11	lower	lower	VERB
cana-1240	87	12	the	the	DET
cana-1240	87	13	number	number	NOUN
cana-1240	87	14	of	of	ADP
cana-1240	87	15	false	false	ADJ
cana-1240	87	16	positives	positive	NOUN
cana-1240	87	17	.	.	PUNCT
cana-1240	88	1	tiwari	tiwari	PROPN
cana-1240	88	2	,	,	PUNCT
cana-1240	88	3	et	et	PROPN
cana-1240	88	4	al	al	PROPN
cana-1240	88	5	.	.	PROPN
cana-1240	88	6	,	,	PUNCT
cana-1240	88	7	(	(	PUNCT
cana-1240	88	8	2021	2021	NUM
cana-1240	88	9	)	)	PUNCT
cana-1240	89	1	[	[	X
cana-1240	89	2	22	22	NUM
cana-1240	89	3	]	]	PUNCT
cana-1240	89	4	have	have	AUX
cana-1240	89	5	presented	present	VERB
cana-1240	89	6	a	a	DET
cana-1240	89	7	successful	successful	ADJ
cana-1240	89	8	target	target	NOUN
cana-1240	89	9	-	-	PUNCT
cana-1240	89	10	based	base	VERB
cana-1240	89	11	weighted	weight	VERB
cana-1240	89	12	elman	elman	PROPN
cana-1240	89	13	dl	dl	PROPN
cana-1240	89	14	neural	neural	PROPN
cana-1240	89	15	network	network	PROPN
cana-1240	89	16	(	(	PUNCT
cana-1240	89	17	twedlnn	twedlnn	NOUN
cana-1240	89	18	)	)	PUNCT
cana-1240	89	19	and	and	CCONJ
cana-1240	89	20	mask	mask	NOUN
cana-1240	89	21	unit	unit	NOUN
cana-1240	89	22	(	(	PUNCT
cana-1240	89	23	mu	mu	PROPN
cana-1240	89	24	)	)	PUNCT
cana-1240	89	25	based	base	VERB
cana-1240	89	26	3fcm	3fcm	NUM
cana-1240	89	27	algorithm	algorithm	NOUN
cana-1240	89	28	-	-	PUNCT
cana-1240	89	29	based	base	VERB
cana-1240	89	30	deep	deep	ADJ
cana-1240	89	31	learning	learning	NOUN
cana-1240	89	32	(	(	PUNCT
cana-1240	89	33	dl	dl	NOUN
cana-1240	89	34	)	)	PUNCT
cana-1240	89	35	method	method	NOUN
cana-1240	89	36	for	for	ADP
cana-1240	89	37	the	the	DET
cana-1240	89	38	detection	detection	NOUN
cana-1240	89	39	of	of	ADP
cana-1240	89	40	lung	lung	NOUN
cana-1240	89	41	cancer	cancer	NOUN
cana-1240	89	42	.	.	PUNCT
cana-1240	90	1	the	the	DET
cana-1240	90	2	study	study	NOUN
cana-1240	90	3	suggested	suggest	VERB
cana-1240	90	4	included	include	VERB
cana-1240	90	5	the	the	DET
cana-1240	90	6	following	following	NOUN
cana-1240	90	7	:	:	PUNCT
cana-1240	90	8	contrast	contrast	NOUN
cana-1240	90	9	enhancement	enhancement	NOUN
cana-1240	90	10	(	(	PUNCT
cana-1240	90	11	ce	ce	X
cana-1240	90	12	)	)	PUNCT
cana-1240	90	13	using	use	VERB
cana-1240	90	14	modified	modify	VERB
cana-1240	90	15	clip	clip	NOUN
cana-1240	90	16	limit	limit	NOUN
cana-1240	90	17	-	-	PUNCT
cana-1240	90	18	based	base	VERB
cana-1240	90	19	(	(	PUNCT
cana-1240	90	20	mc	mc	PROPN
cana-1240	90	21	-	-	PUNCT
cana-1240	90	22	clahe	clahe	PROPN
cana-1240	90	23	)	)	PUNCT
cana-1240	90	24	,	,	PUNCT
cana-1240	90	25	feature	feature	NOUN
cana-1240	90	26	extraction	extraction	NOUN
cana-1240	90	27	(	(	PUNCT
cana-1240	90	28	fe	fe	NOUN
cana-1240	90	29	)	)	PUNCT
cana-1240	90	30	,	,	PUNCT
cana-1240	90	31	feature	feature	VERB
cana-1240	90	32	classification	classification	NOUN
cana-1240	90	33	using	use	VERB
cana-1240	90	34	twedlnn	twedlnn	NOUN
cana-1240	90	35	,	,	PUNCT
cana-1240	90	36	lung	lung	NOUN
cana-1240	90	37	image	image	NOUN
cana-1240	90	38	segmentation	segmentation	NOUN
cana-1240	90	39	using	use	VERB
cana-1240	90	40	geometric	geometric	ADJ
cana-1240	90	41	mean	mean	NOUN
cana-1240	90	42	-	-	PUNCT
cana-1240	90	43	based	base	VERB
cana-1240	90	44	otsu	otsu	NOUN
cana-1240	90	45	thresholding	thresholding	NOUN
cana-1240	90	46	(	(	PUNCT
cana-1240	90	47	got	got	NOUN
cana-1240	90	48	)	)	PUNCT
cana-1240	90	49	,	,	PUNCT
cana-1240	90	50	and	and	CCONJ
cana-1240	90	51	mu	mu	PROPN
cana-1240	90	52	based	base	VERB
cana-1240	90	53	fcm	fcm	PROPN
cana-1240	90	54	algorithm	algorithm	NOUN
cana-1240	90	55	for	for	ADP
cana-1240	90	56	ln	ln	PROPN
cana-1240	90	57	(	(	PUNCT
cana-1240	90	58	lung	lung	NOUN
cana-1240	90	59	nodule	nodule	NOUN
cana-1240	90	60	)	)	PUNCT
cana-1240	90	61	detection	detection	NOUN
cana-1240	90	62	.	.	PUNCT
cana-1240	91	1	for	for	ADP
cana-1240	91	2	the	the	DET
cana-1240	91	3	implementation	implementation	NOUN
cana-1240	91	4	,	,	PUNCT
cana-1240	91	5	ct	ct	PROPN
cana-1240	91	6	scans	scan	NOUN
cana-1240	91	7	from	from	ADP
cana-1240	91	8	the	the	DET
cana-1240	91	9	lidc	lidc	ADJ
cana-1240	91	10	-	-	PUNCT
cana-1240	91	11	idri	idri	ADJ
cana-1240	91	12	database	database	NOUN
cana-1240	91	13	were	be	AUX
cana-1240	91	14	used	use	VERB
cana-1240	91	15	.	.	PUNCT
cana-1240	92	1	lakshmanaprabu	lakshmanaprabu	PROPN
cana-1240	92	2	,	,	PUNCT
cana-1240	92	3	et	et	PROPN
cana-1240	92	4	al	al	PROPN
cana-1240	92	5	.	.	PROPN
cana-1240	92	6	,	,	PUNCT
cana-1240	92	7	(	(	PUNCT
cana-1240	92	8	2019	2019	NUM
cana-1240	92	9	)	)	PUNCT
cana-1240	93	1	[	[	X
cana-1240	93	2	23	23	NUM
cana-1240	93	3	]	]	PUNCT
cana-1240	93	4	have	have	AUX
cana-1240	93	5	presented	present	VERB
cana-1240	93	6	a	a	DET
cana-1240	93	7	novel	novel	ADJ
cana-1240	93	8	automated	automate	VERB
cana-1240	93	9	diagnosis	diagnosis	NOUN
cana-1240	93	10	classification	classification	NOUN
cana-1240	93	11	technique	technique	NOUN
cana-1240	93	12	for	for	ADP
cana-1240	93	13	lung	lung	NOUN
cana-1240	93	14	ct	ct	PROPN
cana-1240	93	15	(	(	PUNCT
cana-1240	93	16	computerized	computerized	ADJ
cana-1240	93	17	tomography	tomography	NOUN
cana-1240	93	18	)	)	PUNCT
cana-1240	93	19	images	image	NOUN
cana-1240	93	20	.	.	PUNCT
cana-1240	94	1	the	the	DET
cana-1240	94	2	linear	linear	ADJ
cana-1240	94	3	discriminant	discriminant	NOUN
cana-1240	94	4	analysis	analysis	NOUN
cana-1240	94	5	(	(	PUNCT
cana-1240	94	6	lda	lda	PROPN
cana-1240	94	7	)	)	PUNCT
cana-1240	94	8	and	and	CCONJ
cana-1240	94	9	optimal	optimal	ADJ
cana-1240	94	10	deep	deep	ADJ
cana-1240	94	11	neural	neural	ADJ
cana-1240	94	12	network	network	NOUN
cana-1240	94	13	(	(	PUNCT
cana-1240	94	14	odnn	odnn	ADJ
cana-1240	94	15	)	)	PUNCT
cana-1240	94	16	were	be	AUX
cana-1240	94	17	used	use	VERB
cana-1240	94	18	to	to	PART
cana-1240	94	19	analyse	analyse	VERB
cana-1240	94	20	ct	ct	PROPN
cana-1240	94	21	scans	scan	NOUN
cana-1240	94	22	of	of	ADP
cana-1240	94	23	lung	lung	NOUN
cana-1240	94	24	images	image	NOUN
cana-1240	94	25	.	.	PUNCT
cana-1240	95	1	to	to	PART
cana-1240	95	2	classify	classify	VERB
cana-1240	95	3	lung	lung	NOUN
cana-1240	95	4	nodules	nodule	NOUN
cana-1240	95	5	as	as	ADP
cana-1240	95	6	benign	benign	ADJ
cana-1240	95	7	or	or	CCONJ
cana-1240	95	8	malignant	malignant	ADJ
cana-1240	95	9	,	,	PUNCT
cana-1240	95	10	deep	deep	ADJ
cana-1240	95	11	features	feature	NOUN
cana-1240	95	12	were	be	AUX
cana-1240	95	13	obtainedfrom	obtainedfrom	ADP
cana-1240	95	14	ct	ct	NUM
cana-1240	95	15	images	image	NOUN
cana-1240	95	16	and	and	CCONJ
cana-1240	95	17	their	their	PRON
cana-1240	95	18	lda	lda	PROPN
cana-1240	95	19	was	be	AUX
cana-1240	95	20	employed	employ	VERB
cana-1240	95	21	to	to	PART
cana-1240	95	22	minimize	minimize	VERB
cana-1240	95	23	dimensionality	dimensionality	NOUN
cana-1240	95	24	.	.	PUNCT
cana-1240	96	1	the	the	DET
cana-1240	96	2	modified	modify	VERB
cana-1240	96	3	gravitational	gravitational	ADJ
cana-1240	96	4	search	search	NOUN
cana-1240	96	5	algorithm	algorithm	NOUN
cana-1240	96	6	(	(	PUNCT
cana-1240	96	7	mgsa	mgsa	PROPN
cana-1240	96	8	)	)	PUNCT
cana-1240	96	9	was	be	AUX
cana-1240	96	10	utilized	utilize	VERB
cana-1240	96	11	to	to	PART
cana-1240	96	12	optimize	optimize	VERB
cana-1240	96	13	the	the	DET
cana-1240	96	14	odnn	odnn	NOUN
cana-1240	96	15	on	on	ADP
cana-1240	96	16	ct	ct	NUM
cana-1240	96	17	images	image	NOUN
cana-1240	96	18	in	in	ADP
cana-1240	96	19	order	order	NOUN
cana-1240	96	20	to	to	PART
cana-1240	96	21	categorize	categorize	VERB
cana-1240	96	22	lung	lung	NOUN
cana-1240	96	23	cancer	cancer	NOUN
cana-1240	96	24	.	.	PUNCT
cana-1240	97	1	hussain	hussain	PROPN
cana-1240	97	2	,	,	PUNCT
cana-1240	97	3	et	et	PROPN
cana-1240	97	4	al	al	PROPN
cana-1240	97	5	.	.	PROPN
cana-1240	97	6	,	,	PUNCT
cana-1240	97	7	(	(	PUNCT
cana-1240	97	8	2019	2019	NUM
cana-1240	97	9	)	)	PUNCT
cana-1240	98	1	[	[	X
cana-1240	98	2	24	24	NUM
cana-1240	98	3	]	]	PUNCT
cana-1240	98	4	havesuggested	havesuggeste	VERB
cana-1240	98	5	a	a	DET
cana-1240	98	6	system	system	NOUN
cana-1240	98	7	that	that	PRON
cana-1240	98	8	was	be	AUX
cana-1240	98	9	created	create	VERB
cana-1240	98	10	by	by	ADP
cana-1240	98	11	combining	combine	VERB
cana-1240	98	12	deep	deep	ADJ
cana-1240	98	13	learning	learning	NOUN
cana-1240	98	14	with	with	ADP
cana-1240	98	15	fuzzy	fuzzy	ADJ
cana-1240	98	16	k	k	NOUN
cana-1240	98	17	-	-	PUNCT
cana-1240	98	18	means	mean	VERB
cana-1240	98	19	clustering.multiscale	clustering.multiscale	PROPN
cana-1240	98	20	fuzzy	fuzzy	ADJ
cana-1240	98	21	entropy	entropy	NOUN
cana-1240	98	22	(	(	PUNCT
cana-1240	98	23	mfe),multiscale	mfe),multiscale	NOUN
cana-1240	98	24	permutation	permutation	NOUN
cana-1240	98	25	entropy	entropy	NOUN
cana-1240	98	26	(	(	PUNCT
cana-1240	98	27	mpe),proposed	mpe),propose	VERB
cana-1240	98	28	multiscale	multiscale	NOUN
cana-1240	98	29	sample	sample	NOUN
cana-1240	98	30	entropy	entropy	NOUN
cana-1240	98	31	(	(	PUNCT
cana-1240	98	32	mse	mse	PROPN
cana-1240	98	33	)	)	PUNCT
cana-1240	98	34	with	with	ADP
cana-1240	98	35	a	a	DET
cana-1240	98	36	mean	mean	NOUN
cana-1240	98	37	and	and	CCONJ
cana-1240	98	38	kd	kd	PROPN
cana-1240	98	39	-	-	PUNCT
cana-1240	98	40	tree	tree	NOUN
cana-1240	98	41	algorithmic	algorithmic	ADJ
cana-1240	98	42	approach	approach	NOUN
cana-1240	98	43	,	,	PUNCT
cana-1240	98	44	refined	refined	ADJ
cana-1240	98	45	composite	composite	ADJ
cana-1240	98	46	mfe	mfe	PROPN
cana-1240	98	47	(	(	PUNCT
cana-1240	98	48	rcmfe	rcmfe	NOUN
cana-1240	98	49	)	)	PUNCT
cana-1240	98	50	with	with	ADP
cana-1240	98	51	mean	mean	ADJ
cana-1240	98	52	,	,	PUNCT
cana-1240	98	53	standard	standard	ADJ
cana-1240	98	54	deviations	deviation	NOUN
cana-1240	98	55	and	and	CCONJ
cana-1240	98	56	variance	variance	NOUN
cana-1240	98	57	are	be	AUX
cana-1240	98	58	among	among	ADP
cana-1240	98	59	the	the	DET
cana-1240	98	60	approaches	approach	NOUN
cana-1240	98	61	used	use	VERB
cana-1240	98	62	to	to	PART
cana-1240	98	63	segment	segment	VERB
cana-1240	98	64	tumours	tumour	NOUN
cana-1240	98	65	from	from	ADP
cana-1240	98	66	ct	ct	NUM
cana-1240	98	67	lung	lung	NOUN
cana-1240	98	68	images	image	NOUN
cana-1240	98	69	that	that	PRON
cana-1240	98	70	combine	combine	VERB
cana-1240	98	71	deep	deep	ADJ
cana-1240	98	72	learning	learning	NOUN
cana-1240	98	73	and	and	CCONJ
cana-1240	98	74	fkm	fkm	VERB
cana-1240	98	75	approach	approach	NOUN
cana-1240	98	76	.	.	PUNCT
cana-1240	99	1	masood	masood	PROPN
cana-1240	99	2	,	,	PUNCT
cana-1240	99	3	et	et	PROPN
cana-1240	99	4	al	al	PROPN
cana-1240	99	5	.	.	PROPN
cana-1240	99	6	,	,	PUNCT
cana-1240	99	7	(	(	PUNCT
cana-1240	99	8	2020	2020	NUM
cana-1240	99	9	)	)	PUNCT
cana-1240	100	1	[	[	X
cana-1240	100	2	25	25	NUM
cana-1240	100	3	]	]	PUNCT
cana-1240	100	4	have	have	AUX
cana-1240	100	5	offered	offer	VERB
cana-1240	100	6	a	a	DET
cana-1240	100	7	refined	refined	ADJ
cana-1240	100	8	multidimensional	multidimensional	ADJ
cana-1240	100	9	autonomous	autonomous	ADJ
cana-1240	100	10	decision	decision	NOUN
cana-1240	100	11	support	support	NOUN
cana-1240	100	12	system	system	NOUN
cana-1240	100	13	for	for	ADP
cana-1240	100	14	lung	lung	NOUN
cana-1240	100	15	nodule	nodule	NOUN
cana-1240	100	16	identification	identification	NOUN
cana-1240	100	17	and	and	CCONJ
cana-1240	100	18	categorization	categorization	NOUN
cana-1240	100	19	that	that	PRON
cana-1240	100	20	is	be	AUX
cana-1240	100	21	based	base	VERB
cana-1240	100	22	on	on	ADP
cana-1240	100	23	the	the	DET
cana-1240	100	24	region	region	NOUN
cana-1240	100	25	-	-	PUNCT
cana-1240	100	26	based	base	VERB
cana-1240	100	27	fully	fully	ADV
cana-1240	100	28	convolutional	convolutional	ADJ
cana-1240	100	29	network	network	NOUN
cana-1240	100	30	(	(	PUNCT
cana-1240	100	31	mrfcn	mrfcn	PROPN
cana-1240	100	32	)	)	PUNCT
cana-1240	100	33	.	.	PUNCT
cana-1240	101	1	the	the	DET
cana-1240	101	2	mrfcn	mrfcn	NOUN
cana-1240	101	3	was	be	AUX
cana-1240	101	4	used	use	VERB
cana-1240	101	5	in	in	ADP
cana-1240	101	6	conjunction	conjunction	NOUN
cana-1240	101	7	with	with	ADP
cana-1240	101	8	the	the	DET
cana-1240	101	9	innovative	innovative	ADJ
cana-1240	101	10	multilayer	multilayer	ADJ
cana-1240	101	11	fusion	fusion	NOUN
cana-1240	101	12	region	region	NOUN
cana-1240	101	13	proposal	proposal	NOUN
cana-1240	101	14	network	network	NOUN
cana-1240	101	15	(	(	PUNCT
cana-1240	101	16	mlrpn	mlrpn	PROPN
cana-1240	101	17	)	)	PUNCT
cana-1240	101	18	with	with	ADP
cana-1240	101	19	position	position	NOUN
cana-1240	101	20	-	-	PUNCT
cana-1240	101	21	sensitive	sensitive	ADJ
cana-1240	101	22	score	score	NOUN
cana-1240	101	23	maps	map	NOUN
cana-1240	101	24	(	(	PUNCT
cana-1240	101	25	pssm	pssm	NOUN
cana-1240	101	26	)	)	PUNCT
cana-1240	101	27	under	under	ADP
cana-1240	101	28	investigation	investigation	NOUN
cana-1240	101	29	as	as	ADP
cana-1240	101	30	an	an	DET
cana-1240	101	31	image	image	NOUN
cana-1240	101	32	classifier	classifier	NOUN
cana-1240	101	33	backbone	backbone	NOUN
cana-1240	101	34	for	for	ADP
cana-1240	101	35	feature	feature	NOUN
cana-1240	101	36	extraction.the	extraction.the	DET
cana-1240	101	37	architecture	architecture	NOUN
cana-1240	101	38	was	be	AUX
cana-1240	101	39	modified	modify	VERB
cana-1240	101	40	to	to	PART
cana-1240	101	41	incorporate	incorporate	VERB
cana-1240	101	42	a	a	DET
cana-1240	101	43	deconvolutional	deconvolutional	ADJ
cana-1240	101	44	layer	layer	NOUN
cana-1240	101	45	in	in	ADP
cana-1240	101	46	order	order	NOUN
cana-1240	101	47	to	to	PART
cana-1240	101	48	use	use	VERB
cana-1240	101	49	the	the	DET
cana-1240	101	50	recommended	recommend	VERB
cana-1240	101	51	mlrpn	mlrpn	NOUN
cana-1240	101	52	for	for	ADP
cana-1240	101	53	automatically	automatically	ADV
cana-1240	101	54	communications	communication	NOUN
cana-1240	101	55	on	on	ADP
cana-1240	101	56	applied	apply	VERB
cana-1240	101	57	nonlinear	nonlinear	ADJ
cana-1240	101	58	analysis	analysis	NOUN
cana-1240	101	59	issn	issn	NOUN
cana-1240	101	60	:	:	PUNCT
cana-1240	101	61	1074	1074	NUM
cana-1240	101	62	-	-	PUNCT
cana-1240	101	63	133x	133x	NUM
cana-1240	101	64	vol	vol	NOUN
cana-1240	101	65	31	31	NUM
cana-1240	101	66	no	no	NOUN
cana-1240	101	67	.	.	PUNCT
cana-1240	102	1	6s	6s	NUM
cana-1240	102	2	(	(	PUNCT
cana-1240	102	3	2024	2024	NUM
cana-1240	102	4	)	)	PUNCT
cana-1240	102	5	503	503	NUM
cana-1240	102	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1240	102	7	choosing	choose	VERB
cana-1240	102	8	potential	potential	ADJ
cana-1240	102	9	roi	roi	NOUN
cana-1240	102	10	.	.	PUNCT
cana-1240	103	1	in	in	ADP
cana-1240	103	2	order	order	NOUN
cana-1240	103	3	to	to	PART
cana-1240	103	4	utilize	utilize	VERB
cana-1240	103	5	the	the	DET
cana-1240	103	6	three	three	NUM
cana-1240	103	7	-	-	PUNCT
cana-1240	103	8	dimensional	dimensional	ADJ
cana-1240	103	9	data	datum	NOUN
cana-1240	103	10	from	from	ADP
cana-1240	103	11	ct	ct	PROPN
cana-1240	103	12	scans	scan	NOUN
cana-1240	103	13	,	,	PUNCT
cana-1240	103	14	a	a	DET
cana-1240	103	15	median	median	ADJ
cana-1240	103	16	intensity	intensity	NOUN
cana-1240	103	17	projection	projection	NOUN
cana-1240	103	18	was	be	AUX
cana-1240	103	19	utilized	utilize	VERB
cana-1240	103	20	.	.	PUNCT
cana-1240	104	1	2.1	2.1	NUM
cana-1240	104	2	.	.	PUNCT
cana-1240	105	1	problem	problem	NOUN
cana-1240	105	2	statement	statement	NOUN
cana-1240	105	3	in	in	ADP
cana-1240	105	4	the	the	DET
cana-1240	105	5	field	field	NOUN
cana-1240	105	6	of	of	ADP
cana-1240	105	7	lung	lung	NOUN
cana-1240	105	8	cancer	cancer	NOUN
cana-1240	105	9	diagnosis	diagnosis	NOUN
cana-1240	105	10	and	and	CCONJ
cana-1240	105	11	detection	detection	NOUN
cana-1240	106	1	,	,	PUNCT
cana-1240	106	2	the	the	DET
cana-1240	106	3	literature	literature	NOUN
cana-1240	106	4	provides	provide	VERB
cana-1240	106	5	a	a	DET
cana-1240	106	6	thorough	thorough	ADJ
cana-1240	106	7	examination	examination	NOUN
cana-1240	106	8	of	of	ADP
cana-1240	106	9	the	the	DET
cana-1240	106	10	many	many	ADJ
cana-1240	106	11	approaches	approach	NOUN
cana-1240	106	12	and	and	CCONJ
cana-1240	106	13	strategies	strategy	NOUN
cana-1240	106	14	used	use	VERB
cana-1240	106	15	.	.	PUNCT
cana-1240	107	1	all	all	PRON
cana-1240	107	2	of	of	ADP
cana-1240	107	3	these	these	DET
cana-1240	107	4	studies	study	NOUN
cana-1240	107	5	have	have	VERB
cana-1240	107	6	as	as	ADP
cana-1240	107	7	their	their	PRON
cana-1240	107	8	common	common	ADJ
cana-1240	107	9	issue	issue	NOUN
cana-1240	107	10	the	the	DET
cana-1240	107	11	urgent	urgent	ADJ
cana-1240	107	12	need	need	NOUN
cana-1240	107	13	for	for	ADP
cana-1240	107	14	reliable	reliable	ADJ
cana-1240	107	15	and	and	CCONJ
cana-1240	107	16	effective	effective	ADJ
cana-1240	107	17	lung	lung	NOUN
cana-1240	107	18	cancer	cancer	NOUN
cana-1240	107	19	detection	detection	NOUN
cana-1240	107	20	techniques	technique	NOUN
cana-1240	107	21	.	.	PUNCT
cana-1240	108	1	because	because	SCONJ
cana-1240	108	2	lung	lung	NOUN
cana-1240	108	3	cancer	cancer	NOUN
cana-1240	108	4	has	have	VERB
cana-1240	108	5	a	a	DET
cana-1240	108	6	high	high	ADJ
cana-1240	108	7	death	death	NOUN
cana-1240	108	8	rate	rate	NOUN
cana-1240	108	9	and	and	CCONJ
cana-1240	108	10	is	be	AUX
cana-1240	108	11	a	a	DET
cana-1240	108	12	major	major	ADJ
cana-1240	108	13	global	global	ADJ
cana-1240	108	14	health	health	NOUN
cana-1240	108	15	concern	concern	NOUN
cana-1240	108	16	,	,	PUNCT
cana-1240	108	17	it	it	PRON
cana-1240	108	18	is	be	AUX
cana-1240	108	19	imperative	imperative	ADJ
cana-1240	108	20	that	that	SCONJ
cana-1240	108	21	new	new	ADJ
cana-1240	108	22	diagnostic	diagnostic	ADJ
cana-1240	108	23	techniques	technique	NOUN
cana-1240	108	24	be	be	AUX
cana-1240	108	25	developed	develop	VERB
cana-1240	108	26	.	.	PUNCT
cana-1240	109	1	the	the	DET
cana-1240	109	2	studies	study	NOUN
cana-1240	109	3	cover	cover	VERB
cana-1240	109	4	a	a	DET
cana-1240	109	5	spectrum	spectrum	NOUN
cana-1240	109	6	of	of	ADP
cana-1240	109	7	approaches	approach	NOUN
cana-1240	109	8	,	,	PUNCT
cana-1240	109	9	ranging	range	VERB
cana-1240	109	10	from	from	ADP
cana-1240	109	11	fuzzy	fuzzy	ADJ
cana-1240	109	12	soft	soft	ADJ
cana-1240	109	13	expert	expert	NOUN
cana-1240	109	14	systems	system	NOUN
cana-1240	109	15	for	for	ADP
cana-1240	109	16	prediction	prediction	NOUN
cana-1240	109	17	to	to	ADP
cana-1240	109	18	deep	deep	ADJ
cana-1240	109	19	learning	learning	NOUN
cana-1240	109	20	-	-	PUNCT
cana-1240	109	21	based	base	VERB
cana-1240	109	22	methodologies	methodology	NOUN
cana-1240	109	23	,	,	PUNCT
cana-1240	109	24	and	and	CCONJ
cana-1240	109	25	integration	integration	NOUN
cana-1240	109	26	of	of	ADP
cana-1240	109	27	computational	computational	ADJ
cana-1240	109	28	intelligence	intelligence	NOUN
cana-1240	109	29	with	with	ADP
cana-1240	109	30	the	the	DET
cana-1240	109	31	iot.the	iot.the	DET
cana-1240	109	32	difficulties	difficulty	NOUN
cana-1240	109	33	of	of	ADP
cana-1240	109	34	accurately	accurately	ADV
cana-1240	109	35	classifying	classify	VERB
cana-1240	109	36	various	various	ADJ
cana-1240	109	37	forms	form	NOUN
cana-1240	109	38	of	of	ADP
cana-1240	109	39	lung	lung	NOUN
cana-1240	109	40	cancer	cancer	NOUN
cana-1240	109	41	,	,	PUNCT
cana-1240	109	42	the	the	DET
cana-1240	109	43	decrease	decrease	NOUN
cana-1240	109	44	of	of	ADP
cana-1240	109	45	false	false	ADJ
cana-1240	109	46	positives	positive	NOUN
cana-1240	109	47	in	in	ADP
cana-1240	109	48	detection	detection	NOUN
cana-1240	109	49	systems	system	NOUN
cana-1240	109	50	,	,	PUNCT
cana-1240	109	51	and	and	CCONJ
cana-1240	109	52	the	the	DET
cana-1240	109	53	intricacies	intricacy	NOUN
cana-1240	109	54	of	of	ADP
cana-1240	109	55	image	image	NOUN
cana-1240	109	56	segmentation	segmentation	NOUN
cana-1240	109	57	in	in	ADP
cana-1240	109	58	ct	ct	PROPN
cana-1240	109	59	scans	scan	NOUN
cana-1240	109	60	are	be	AUX
cana-1240	109	61	among	among	ADP
cana-1240	109	62	the	the	DET
cana-1240	109	63	challenges	challenge	NOUN
cana-1240	109	64	addressed	address	VERB
cana-1240	109	65	.	.	PUNCT
cana-1240	110	1	to	to	PART
cana-1240	110	2	improve	improve	VERB
cana-1240	110	3	overall	overall	ADJ
cana-1240	110	4	lung	lung	NOUN
cana-1240	110	5	cancer	cancer	NOUN
cana-1240	110	6	detection	detection	NOUN
cana-1240	110	7	accuracy	accuracy	NOUN
cana-1240	110	8	,	,	PUNCT
cana-1240	110	9	novel	novel	ADJ
cana-1240	110	10	approaches	approach	NOUN
cana-1240	110	11	like	like	ADP
cana-1240	110	12	fuzzy	fuzzy	ADJ
cana-1240	110	13	clustering	clustering	NOUN
cana-1240	110	14	,	,	PUNCT
cana-1240	110	15	cnn	cnn	PROPN
cana-1240	110	16	,	,	PUNCT
cana-1240	110	17	and	and	CCONJ
cana-1240	110	18	hybrid	hybrid	ADJ
cana-1240	110	19	optimization	optimization	NOUN
cana-1240	110	20	algorithms	algorithm	NOUN
cana-1240	110	21	are	be	AUX
cana-1240	110	22	included	include	VERB
cana-1240	110	23	in	in	ADP
cana-1240	110	24	the	the	DET
cana-1240	110	25	suggested	suggest	VERB
cana-1240	110	26	solutions	solution	NOUN
cana-1240	110	27	.	.	PUNCT
cana-1240	111	1	the	the	DET
cana-1240	111	2	use	use	NOUN
cana-1240	111	3	of	of	ADP
cana-1240	111	4	innovative	innovative	ADJ
cana-1240	111	5	technologies	technology	NOUN
cana-1240	111	6	like	like	ADP
cana-1240	111	7	iot	iot	NOUN
cana-1240	111	8	and	and	CCONJ
cana-1240	111	9	computational	computational	ADJ
cana-1240	111	10	intelligence	intelligence	NOUN
cana-1240	111	11	,	,	PUNCT
cana-1240	111	12	along	along	ADP
cana-1240	111	13	with	with	ADP
cana-1240	111	14	the	the	DET
cana-1240	111	15	combination	combination	NOUN
cana-1240	111	16	of	of	ADP
cana-1240	111	17	fuzzy	fuzzy	ADJ
cana-1240	111	18	logic	logic	NOUN
cana-1240	111	19	and	and	CCONJ
cana-1240	111	20	deep	deep	ADJ
cana-1240	111	21	learning	learning	NOUN
cana-1240	111	22	,	,	PUNCT
cana-1240	111	23	demonstrate	demonstrate	VERB
cana-1240	111	24	the	the	DET
cana-1240	111	25	diverse	diverse	ADJ
cana-1240	111	26	approaches	approach	NOUN
cana-1240	111	27	taken	take	VERB
cana-1240	111	28	to	to	PART
cana-1240	111	29	address	address	VERB
cana-1240	111	30	the	the	DET
cana-1240	111	31	difficulties	difficulty	NOUN
cana-1240	111	32	presented	present	VERB
cana-1240	111	33	by	by	ADP
cana-1240	111	34	a	a	DET
cana-1240	111	35	lung	lung	NOUN
cana-1240	111	36	cancer	cancer	NOUN
cana-1240	111	37	diagnosis	diagnosis	NOUN
cana-1240	111	38	.	.	PUNCT
cana-1240	112	1	the	the	DET
cana-1240	112	2	combined	combined	ADJ
cana-1240	112	3	goal	goal	NOUN
cana-1240	112	4	of	of	ADP
cana-1240	112	5	these	these	DET
cana-1240	112	6	research	research	NOUN
cana-1240	112	7	projects	project	NOUN
cana-1240	112	8	is	be	AUX
cana-1240	112	9	to	to	PART
cana-1240	112	10	help	help	VERB
cana-1240	112	11	with	with	ADP
cana-1240	112	12	early	early	ADJ
cana-1240	112	13	identification	identification	NOUN
cana-1240	112	14	,	,	PUNCT
cana-1240	112	15	accurate	accurate	ADJ
cana-1240	112	16	categorization	categorization	NOUN
cana-1240	112	17	,	,	PUNCT
cana-1240	112	18	and	and	CCONJ
cana-1240	112	19	eventually	eventually	ADV
cana-1240	112	20	better	well	ADJ
cana-1240	112	21	results	result	NOUN
cana-1240	112	22	for	for	ADP
cana-1240	112	23	lung	lung	NOUN
cana-1240	112	24	cancer	cancer	NOUN
cana-1240	112	25	patients	patient	NOUN
cana-1240	112	26	.	.	PUNCT
cana-1240	113	1	3	3	X
cana-1240	113	2	.	.	NUM
cana-1240	113	3	proposed	propose	VERB
cana-1240	113	4	methodology	methodology	NOUN
cana-1240	113	5	the	the	DET
cana-1240	113	6	research	research	NOUN
cana-1240	113	7	proposes	propose	VERB
cana-1240	113	8	a	a	DET
cana-1240	113	9	methodology	methodology	NOUN
cana-1240	113	10	for	for	ADP
cana-1240	113	11	lung	lung	NOUN
cana-1240	113	12	cancer	cancer	NOUN
cana-1240	113	13	detection	detection	NOUN
cana-1240	113	14	that	that	PRON
cana-1240	113	15	is	be	AUX
cana-1240	113	16	seamlessly	seamlessly	ADV
cana-1240	113	17	integrated	integrate	VERB
cana-1240	113	18	and	and	CCONJ
cana-1240	113	19	begins	begin	VERB
cana-1240	113	20	with	with	ADP
cana-1240	113	21	sophisticated	sophisticated	ADJ
cana-1240	113	22	methods	method	NOUN
cana-1240	113	23	for	for	ADP
cana-1240	113	24	pre	pre	ADJ
cana-1240	113	25	-	-	ADJ
cana-1240	113	26	processing	processing	NOUN
cana-1240	113	27	to	to	PART
cana-1240	113	28	enhance	enhance	VERB
cana-1240	113	29	quality	quality	NOUN
cana-1240	113	30	of	of	ADP
cana-1240	113	31	the	the	DET
cana-1240	113	32	images	image	NOUN
cana-1240	113	33	.	.	PUNCT
cana-1240	114	1	effective	effective	ADJ
cana-1240	114	2	preprocessing	preprocessing	NOUN
cana-1240	114	3	is	be	AUX
cana-1240	114	4	achieved	achieve	VERB
cana-1240	114	5	by	by	ADP
cana-1240	114	6	combining	combine	VERB
cana-1240	114	7	gaussian	gaussian	ADJ
cana-1240	114	8	filters	filter	NOUN
cana-1240	114	9	with	with	ADP
cana-1240	114	10	a	a	DET
cana-1240	114	11	modified	modify	VERB
cana-1240	114	12	contrast	contrast	NOUN
cana-1240	114	13	limited	limit	VERB
cana-1240	114	14	adaptive	adaptive	ADJ
cana-1240	114	15	histogram	histogram	NOUN
cana-1240	114	16	equalization	equalization	NOUN
cana-1240	114	17	(	(	PUNCT
cana-1240	114	18	clahe	clahe	NOUN
cana-1240	114	19	)	)	PUNCT
cana-1240	114	20	technique	technique	NOUN
cana-1240	114	21	.	.	PUNCT
cana-1240	115	1	then	then	ADV
cana-1240	115	2	,	,	PUNCT
cana-1240	115	3	an	an	DET
cana-1240	115	4	optimized	optimize	VERB
cana-1240	115	5	mask	mask	NOUN
cana-1240	115	6	r	r	NOUN
cana-1240	115	7	-	-	PUNCT
cana-1240	115	8	cnn	cnn	PROPN
cana-1240	115	9	algorithm	algorithm	NOUN
cana-1240	115	10	recognizes	recognize	VERB
cana-1240	115	11	the	the	DET
cana-1240	115	12	region	region	NOUN
cana-1240	115	13	of	of	ADP
cana-1240	115	14	interest	interest	NOUN
cana-1240	115	15	(	(	PUNCT
cana-1240	115	16	roi	roi	NOUN
cana-1240	115	17	)	)	PUNCT
cana-1240	115	18	,	,	PUNCT
cana-1240	115	19	and	and	CCONJ
cana-1240	115	20	a	a	DET
cana-1240	115	21	hybrid	hybrid	ADJ
cana-1240	115	22	optimization	optimization	NOUN
cana-1240	115	23	algorithm	algorithm	NOUN
cana-1240	115	24	that	that	PRON
cana-1240	115	25	combines	combine	VERB
cana-1240	115	26	chimp	chimp	PROPN
cana-1240	115	27	and	and	CCONJ
cana-1240	115	28	gazelle	gazelle	NOUN
cana-1240	115	29	optimizations	optimization	NOUN
cana-1240	115	30	fine	fine	ADJ
cana-1240	115	31	-	-	PUNCT
cana-1240	115	32	tunes	tune	NOUN
cana-1240	115	33	the	the	DET
cana-1240	115	34	hyper	hyper	NOUN
cana-1240	115	35	-	-	NOUN
cana-1240	115	36	parameters	parameter	NOUN
cana-1240	115	37	.	.	PUNCT
cana-1240	116	1	for	for	ADP
cana-1240	116	2	precise	precise	ADJ
cana-1240	116	3	roi	roi	NOUN
cana-1240	116	4	segmentation	segmentation	NOUN
cana-1240	116	5	,	,	PUNCT
cana-1240	116	6	this	this	PRON
cana-1240	116	7	guarantees	guarantee	VERB
cana-1240	116	8	ideal	ideal	ADJ
cana-1240	116	9	parameter	parameter	NOUN
cana-1240	116	10	settings	setting	NOUN
cana-1240	116	11	.	.	PUNCT
cana-1240	117	1	a	a	DET
cana-1240	117	2	wide	wide	ADJ
cana-1240	117	3	range	range	NOUN
cana-1240	117	4	of	of	ADP
cana-1240	117	5	features	feature	NOUN
cana-1240	117	6	are	be	AUX
cana-1240	117	7	covered	cover	VERB
cana-1240	117	8	by	by	ADP
cana-1240	117	9	feature	feature	NOUN
cana-1240	117	10	extraction	extraction	NOUN
cana-1240	117	11	,	,	PUNCT
cana-1240	117	12	including	include	VERB
cana-1240	117	13	texture	texture	ADJ
cana-1240	117	14	features	feature	NOUN
cana-1240	117	15	(	(	PUNCT
cana-1240	117	16	local	local	ADJ
cana-1240	117	17	directional	directional	ADJ
cana-1240	117	18	patterns	pattern	NOUN
cana-1240	117	19	,	,	PUNCT
cana-1240	117	20	or	or	CCONJ
cana-1240	117	21	ldp	ldp	PROPN
cana-1240	117	22	,	,	PUNCT
cana-1240	117	23	and	and	CCONJ
cana-1240	117	24	gabor	gabor	PROPN
cana-1240	117	25	local	local	ADJ
cana-1240	117	26	binary	binary	NOUN
cana-1240	117	27	patterns	pattern	NOUN
cana-1240	117	28	,	,	PUNCT
cana-1240	117	29	or	or	CCONJ
cana-1240	117	30	glbp	glbp	ADJ
cana-1240	117	31	)	)	PUNCT
cana-1240	117	32	,	,	PUNCT
cana-1240	117	33	color	color	NOUN
cana-1240	117	34	features	feature	NOUN
cana-1240	117	35	(	(	PUNCT
cana-1240	117	36	histograms	histogram	NOUN
cana-1240	117	37	)	)	PUNCT
cana-1240	117	38	,	,	PUNCT
cana-1240	117	39	geometric	geometric	ADJ
cana-1240	117	40	features	feature	NOUN
cana-1240	117	41	(	(	PUNCT
cana-1240	117	42	centroid	centroid	NOUN
cana-1240	117	43	,	,	PUNCT
cana-1240	117	44	euler	euler	NOUN
cana-1240	117	45	number	number	NOUN
cana-1240	117	46	,	,	PUNCT
cana-1240	117	47	and	and	CCONJ
cana-1240	117	48	convexity	convexity	NOUN
cana-1240	117	49	)	)	PUNCT
cana-1240	117	50	,	,	PUNCT
cana-1240	117	51	and	and	CCONJ
cana-1240	117	52	shape	shape	NOUN
cana-1240	117	53	features	feature	NOUN
cana-1240	117	54	(	(	PUNCT
cana-1240	117	55	area	area	NOUN
cana-1240	117	56	,	,	PUNCT
cana-1240	117	57	perimeter	perimeter	NOUN
cana-1240	117	58	,	,	PUNCT
cana-1240	117	59	and	and	CCONJ
cana-1240	117	60	circularity	circularity	NOUN
cana-1240	117	61	)	)	PUNCT
cana-1240	117	62	.	.	PUNCT
cana-1240	118	1	a	a	DET
cana-1240	118	2	modified	modify	VERB
cana-1240	118	3	fuzzy	fuzzy	ADJ
cana-1240	118	4	analytic	analytic	ADJ
cana-1240	118	5	hierarchy	hierarchy	NOUN
cana-1240	118	6	process	process	NOUN
cana-1240	118	7	(	(	PUNCT
cana-1240	118	8	ahp	ahp	NOUN
cana-1240	118	9	)	)	PUNCT
cana-1240	118	10	with	with	ADP
cana-1240	118	11	sigmoid	sigmoid	NOUN
cana-1240	118	12	membership	membership	NOUN
cana-1240	118	13	functions	function	NOUN
cana-1240	118	14	customized	customize	VERB
cana-1240	118	15	for	for	ADP
cana-1240	118	16	each	each	DET
cana-1240	118	17	feature	feature	NOUN
cana-1240	118	18	is	be	AUX
cana-1240	118	19	then	then	ADV
cana-1240	118	20	used	use	VERB
cana-1240	118	21	to	to	PART
cana-1240	118	22	rank	rank	VERB
cana-1240	118	23	the	the	DET
cana-1240	118	24	extracted	extract	VERB
cana-1240	118	25	features	feature	NOUN
cana-1240	118	26	.	.	PUNCT
cana-1240	119	1	to	to	PART
cana-1240	119	2	improve	improve	VERB
cana-1240	119	3	discriminatory	discriminatory	ADJ
cana-1240	119	4	power	power	NOUN
cana-1240	119	5	,	,	PUNCT
cana-1240	119	6	a	a	DET
cana-1240	119	7	hybrid	hybrid	ADJ
cana-1240	119	8	optimization	optimization	NOUN
cana-1240	119	9	algorithm	algorithm	NOUN
cana-1240	119	10	that	that	PRON
cana-1240	119	11	combines	combine	VERB
cana-1240	119	12	chimp	chimp	PROPN
cana-1240	119	13	and	and	CCONJ
cana-1240	119	14	gazelle	gazelle	NOUN
cana-1240	119	15	optimizations	optimization	NOUN
cana-1240	119	16	refines	refine	VERB
cana-1240	119	17	the	the	DET
cana-1240	119	18	membership	membership	NOUN
cana-1240	119	19	functions	function	NOUN
cana-1240	119	20	.	.	PUNCT
cana-1240	120	1	the	the	DET
cana-1240	120	2	final	final	ADJ
cana-1240	120	3	detection	detection	NOUN
cana-1240	120	4	model	model	NOUN
cana-1240	120	5	,	,	PUNCT
cana-1240	120	6	called	call	VERB
cana-1240	120	7	"	"	PUNCT
cana-1240	120	8	fuzsquresmobilenet	fuzsquresmobilenet	NOUN
cana-1240	120	9	,	,	PUNCT
cana-1240	120	10	"	"	PUNCT
cana-1240	120	11	combines	combine	VERB
cana-1240	120	12	a	a	DET
cana-1240	120	13	group	group	NOUN
cana-1240	120	14	of	of	ADP
cana-1240	120	15	pre	pre	ADJ
cana-1240	120	16	-	-	ADJ
cana-1240	120	17	trained	train	VERB
cana-1240	120	18	deep	deep	ADJ
cana-1240	120	19	learning	learning	NOUN
cana-1240	120	20	models	model	NOUN
cana-1240	120	21	(	(	PUNCT
cana-1240	120	22	squeezenet	squeezenet	NOUN
cana-1240	120	23	,	,	PUNCT
cana-1240	120	24	resnet101	resnet101	PROPN
cana-1240	120	25	,	,	PUNCT
cana-1240	120	26	and	and	CCONJ
cana-1240	120	27	mobilenetv2	mobilenetv2	PROPN
cana-1240	120	28	)	)	PUNCT
cana-1240	120	29	with	with	ADP
cana-1240	120	30	fuzzy	fuzzy	ADJ
cana-1240	120	31	logic	logic	NOUN
cana-1240	120	32	-	-	PUNCT
cana-1240	120	33	based	base	VERB
cana-1240	120	34	preliminary	preliminary	ADJ
cana-1240	120	35	detection	detection	NOUN
cana-1240	120	36	to	to	PART
cana-1240	120	37	ensure	ensure	VERB
cana-1240	120	38	a	a	DET
cana-1240	120	39	comprehensive	comprehensive	ADJ
cana-1240	120	40	approach	approach	NOUN
cana-1240	120	41	to	to	PART
cana-1240	120	42	feature	feature	VERB
cana-1240	120	43	extraction	extraction	NOUN
cana-1240	120	44	for	for	ADP
cana-1240	120	45	increased	increase	VERB
cana-1240	120	46	detection	detection	NOUN
cana-1240	120	47	accuracy	accuracy	NOUN
cana-1240	120	48	.	.	PUNCT
cana-1240	121	1	the	the	DET
cana-1240	121	2	overall	overall	ADJ
cana-1240	121	3	flow	flow	NOUN
cana-1240	121	4	of	of	ADP
cana-1240	121	5	the	the	DET
cana-1240	121	6	proposed	propose	VERB
cana-1240	121	7	lung	lung	NOUN
cana-1240	121	8	cancer	cancer	NOUN
cana-1240	121	9	detection	detection	NOUN
cana-1240	121	10	framework	framework	NOUN
cana-1240	121	11	is	be	AUX
cana-1240	121	12	illustrated	illustrate	VERB
cana-1240	121	13	in	in	ADP
cana-1240	121	14	the	the	DET
cana-1240	121	15	figure	figure	NOUN
cana-1240	121	16	1	1	NUM
cana-1240	121	17	.	.	PUNCT
cana-1240	122	1	communications	communication	NOUN
cana-1240	122	2	on	on	ADP
cana-1240	122	3	applied	apply	VERB
cana-1240	122	4	nonlinear	nonlinear	ADJ
cana-1240	122	5	analysis	analysis	NOUN
cana-1240	122	6	issn	issn	NOUN
cana-1240	122	7	:	:	PUNCT
cana-1240	122	8	1074	1074	NUM
cana-1240	122	9	-	-	PUNCT
cana-1240	122	10	133x	133x	NUM
cana-1240	122	11	vol	vol	NOUN
cana-1240	122	12	31	31	NUM
cana-1240	122	13	no	no	NOUN
cana-1240	122	14	.	.	PUNCT
cana-1240	123	1	6s	6s	NUM
cana-1240	123	2	(	(	PUNCT
cana-1240	123	3	2024	2024	NUM
cana-1240	123	4	)	)	PUNCT
cana-1240	123	5	504	504	NUM
cana-1240	123	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1240	123	7	figure	figure	NOUN
cana-1240	123	8	1	1	NUM
cana-1240	123	9	:	:	PUNCT
cana-1240	123	10	the	the	DET
cana-1240	123	11	proposed	propose	VERB
cana-1240	123	12	lung	lung	NOUN
cana-1240	123	13	cancer	cancer	NOUN
cana-1240	123	14	overall	overall	ADJ
cana-1240	123	15	detection	detection	NOUN
cana-1240	123	16	framework	framework	NOUN
cana-1240	123	17	3.1	3.1	NUM
cana-1240	123	18	.	.	PUNCT
cana-1240	124	1	pre	pre	ADJ
cana-1240	124	2	-	-	ADJ
cana-1240	124	3	processing	processing	ADJ
cana-1240	124	4	effective	effective	ADJ
cana-1240	124	5	pre	pre	ADJ
cana-1240	124	6	-	-	ADJ
cana-1240	124	7	processing	processing	ADJ
cana-1240	124	8	methods	method	NOUN
cana-1240	124	9	are	be	AUX
cana-1240	124	10	designed	design	VERB
cana-1240	124	11	to	to	PART
cana-1240	124	12	enhance	enhance	VERB
cana-1240	124	13	an	an	DET
cana-1240	124	14	image	image	NOUN
cana-1240	124	15	's	's	PART
cana-1240	124	16	quality	quality	NOUN
cana-1240	124	17	and	and	CCONJ
cana-1240	124	18	usefulness	usefulness	NOUN
cana-1240	124	19	so	so	SCONJ
cana-1240	124	20	that	that	SCONJ
cana-1240	124	21	it	it	PRON
cana-1240	124	22	can	can	AUX
cana-1240	124	23	be	be	AUX
cana-1240	124	24	used	use	VERB
cana-1240	124	25	more	more	ADV
cana-1240	124	26	effectively	effectively	ADV
cana-1240	124	27	for	for	ADP
cana-1240	124	28	tasks	task	NOUN
cana-1240	124	29	like	like	ADP
cana-1240	124	30	feature	feature	NOUN
cana-1240	124	31	extraction	extraction	NOUN
cana-1240	124	32	,	,	PUNCT
cana-1240	124	33	object	object	NOUN
cana-1240	124	34	recognition	recognition	NOUN
cana-1240	124	35	,	,	PUNCT
cana-1240	124	36	and	and	CCONJ
cana-1240	124	37	segmentation	segmentation	NOUN
cana-1240	124	38	.	.	PUNCT
cana-1240	125	1	clahe	clahe	NOUN
cana-1240	125	2	and	and	CCONJ
cana-1240	125	3	gaussian	gaussian	ADJ
cana-1240	125	4	filters	filter	NOUN
cana-1240	125	5	are	be	AUX
cana-1240	125	6	two	two	NUM
cana-1240	125	7	pre	pre	ADJ
cana-1240	125	8	-	-	ADJ
cana-1240	125	9	processing	processing	ADJ
cana-1240	125	10	methods	method	NOUN
cana-1240	125	11	that	that	PRON
cana-1240	125	12	are	be	AUX
cana-1240	125	13	frequently	frequently	ADV
cana-1240	125	14	used	use	VERB
cana-1240	125	15	.	.	PUNCT
cana-1240	126	1	the	the	DET
cana-1240	126	2	gaussian	gaussian	ADJ
cana-1240	126	3	distribution	distribution	NOUN
cana-1240	126	4	function	function	NOUN
cana-1240	126	5	is	be	AUX
cana-1240	126	6	used	use	VERB
cana-1240	126	7	by	by	ADP
cana-1240	126	8	gaussian	gaussian	ADJ
cana-1240	126	9	filters	filter	NOUN
cana-1240	126	10	,	,	PUNCT
cana-1240	126	11	which	which	PRON
cana-1240	126	12	are	be	AUX
cana-1240	126	13	an	an	DET
cana-1240	126	14	effective	effective	ADJ
cana-1240	126	15	tool	tool	NOUN
cana-1240	126	16	for	for	ADP
cana-1240	126	17	noise	noise	NOUN
cana-1240	126	18	reduction	reduction	NOUN
cana-1240	126	19	.	.	PUNCT
cana-1240	127	1	they	they	PRON
cana-1240	127	2	smooth	smooth	VERB
cana-1240	127	3	or	or	CCONJ
cana-1240	127	4	blur	blur	VERB
cana-1240	127	5	an	an	DET
cana-1240	127	6	image	image	NOUN
cana-1240	127	7	by	by	ADP
cana-1240	127	8	applying	apply	VERB
cana-1240	127	9	a	a	DET
cana-1240	127	10	weighted	weighted	ADJ
cana-1240	127	11	average	average	ADJ
cana-1240	127	12	technique	technique	NOUN
cana-1240	127	13	.	.	PUNCT
cana-1240	128	1	this	this	PRON
cana-1240	128	2	effectively	effectively	ADV
cana-1240	128	3	eliminates	eliminate	VERB
cana-1240	128	4	highfrequency	highfrequency	NOUN
cana-1240	128	5	noise	noise	NOUN
cana-1240	128	6	components	component	NOUN
cana-1240	128	7	.	.	PUNCT
cana-1240	129	1	the	the	DET
cana-1240	129	2	over	over	ADP
cana-1240	129	3	-	-	PUNCT
cana-1240	129	4	amplification	amplification	NOUN
cana-1240	129	5	problems	problem	NOUN
cana-1240	129	6	with	with	ADP
cana-1240	129	7	conventional	conventional	ADJ
cana-1240	129	8	adaptive	adaptive	ADJ
cana-1240	129	9	histogram	histogram	NOUN
cana-1240	129	10	equalization	equalization	NOUN
cana-1240	129	11	(	(	PUNCT
cana-1240	129	12	ahe	ahe	NOUN
cana-1240	129	13	)	)	PUNCT
cana-1240	129	14	are	be	AUX
cana-1240	129	15	addressed	address	VERB
cana-1240	129	16	by	by	ADP
cana-1240	129	17	the	the	DET
cana-1240	129	18	clahe	clahe	PROPN
cana-1240	129	19	algorithm	algorithm	NOUN
cana-1240	129	20	.	.	PUNCT
cana-1240	130	1	the	the	DET
cana-1240	130	2	histograms	histogram	NOUN
cana-1240	130	3	are	be	AUX
cana-1240	130	4	clipped	clip	VERB
cana-1240	130	5	in	in	ADP
cana-1240	130	6	accordance	accordance	NOUN
cana-1240	130	7	with	with	ADP
cana-1240	130	8	a	a	DET
cana-1240	130	9	defined	define	VERB
cana-1240	130	10	clip	clip	NOUN
cana-1240	130	11	limit	limit	NOUN
cana-1240	130	12	to	to	PART
cana-1240	130	13	avoid	avoid	VERB
cana-1240	130	14	over	over	ADP
cana-1240	130	15	-	-	PUNCT
cana-1240	130	16	amplification	amplification	NOUN
cana-1240	130	17	.	.	PUNCT
cana-1240	131	1	a	a	DET
cana-1240	131	2	more	more	ADV
cana-1240	131	3	balanced	balanced	ADJ
cana-1240	131	4	depiction	depiction	NOUN
cana-1240	131	5	of	of	ADP
cana-1240	131	6	pixel	pixel	PROPN
cana-1240	131	7	intensities	intensity	NOUN
cana-1240	131	8	is	be	AUX
cana-1240	131	9	ensured	ensure	VERB
cana-1240	131	10	by	by	ADP
cana-1240	131	11	redistributing	redistribute	VERB
cana-1240	131	12	clipped	clip	VERB
cana-1240	131	13	pixels	pixel	NOUN
cana-1240	131	14	as	as	ADP
cana-1240	131	15	part	part	NOUN
cana-1240	131	16	of	of	ADP
cana-1240	131	17	the	the	DET
cana-1240	131	18	process	process	NOUN
cana-1240	131	19	.	.	PUNCT
cana-1240	132	1	(	(	PUNCT
cana-1240	132	2	i	i	NOUN
cana-1240	132	3	)	)	PUNCT
cana-1240	132	4	gaussian	gaussian	ADJ
cana-1240	132	5	filter	filter	NOUN
cana-1240	132	6	the	the	DET
cana-1240	132	7	noise	noise	NOUN
cana-1240	132	8	of	of	ADP
cana-1240	132	9	an	an	DET
cana-1240	132	10	image	image	NOUN
cana-1240	132	11	can	can	AUX
cana-1240	132	12	be	be	AUX
cana-1240	132	13	eliminated	eliminate	VERB
cana-1240	132	14	by	by	ADP
cana-1240	132	15	applying	apply	VERB
cana-1240	132	16	a	a	DET
cana-1240	132	17	gaussian	gaussian	ADJ
cana-1240	132	18	filter	filter	NOUN
cana-1240	132	19	.	.	PUNCT
cana-1240	133	1	each	each	DET
cana-1240	133	2	member	member	NOUN
cana-1240	133	3	of	of	ADP
cana-1240	133	4	the	the	DET
cana-1240	133	5	linear	linear	ADJ
cana-1240	133	6	filter	filter	NOUN
cana-1240	133	7	has	have	VERB
cana-1240	133	8	a	a	DET
cana-1240	133	9	weighting	weighting	NOUN
cana-1240	133	10	value	value	NOUN
cana-1240	133	11	.	.	PUNCT
cana-1240	134	1	the	the	DET
cana-1240	134	2	high	high	ADJ
cana-1240	134	3	frequency	frequency	NOUN
cana-1240	134	4	component	component	NOUN
cana-1240	134	5	of	of	ADP
cana-1240	134	6	the	the	DET
cana-1240	134	7	image	image	NOUN
cana-1240	134	8	is	be	AUX
cana-1240	134	9	eliminated	eliminate	VERB
cana-1240	134	10	by	by	ADP
cana-1240	134	11	this	this	DET
cana-1240	134	12	low	low	ADJ
cana-1240	134	13	pass	pass	NOUN
cana-1240	134	14	filter	filter	NOUN
cana-1240	134	15	.	.	PUNCT
cana-1240	135	1	the	the	DET
cana-1240	135	2	image	image	NOUN
cana-1240	135	3	is	be	AUX
cana-1240	135	4	blurred	blur	VERB
cana-1240	135	5	or	or	CCONJ
cana-1240	135	6	smoothed	smooth	VERB
cana-1240	135	7	by	by	ADP
cana-1240	135	8	this	this	DET
cana-1240	135	9	filter	filter	NOUN
cana-1240	135	10	using	use	VERB
cana-1240	135	11	the	the	DET
cana-1240	135	12	gaussian	gaussian	ADJ
cana-1240	135	13	distribution	distribution	NOUN
cana-1240	135	14	function	function	NOUN
cana-1240	135	15	.	.	PUNCT
cana-1240	136	1	the	the	DET
cana-1240	136	2	gaussian	gaussian	ADJ
cana-1240	136	3	filter	filter	NOUN
cana-1240	136	4	's	's	PART
cana-1240	136	5	standard	standard	ADJ
cana-1240	136	6	deviation	deviation	NOUN
cana-1240	136	7	indicates	indicate	VERB
cana-1240	136	8	how	how	SCONJ
cana-1240	136	9	much	much	ADJ
cana-1240	136	10	smoothing	smoothing	NOUN
cana-1240	136	11	is	be	AUX
cana-1240	136	12	applied	apply	VERB
cana-1240	136	13	.	.	PUNCT
cana-1240	137	1	weighted	weight	VERB
cana-1240	137	2	average	average	NOUN
cana-1240	137	3	is	be	AUX
cana-1240	137	4	used	use	VERB
cana-1240	137	5	in	in	ADP
cana-1240	137	6	its	its	PRON
cana-1240	137	7	operation	operation	NOUN
cana-1240	137	8	,	,	PUNCT
cana-1240	137	9	whereby	whereby	SCONJ
cana-1240	137	10	the	the	DET
cana-1240	137	11	central	central	ADJ
cana-1240	137	12	pixel	pixel	NOUN
cana-1240	137	13	of	of	ADP
cana-1240	137	14	the	the	DET
cana-1240	137	15	image	image	NOUN
cana-1240	137	16	is	be	AUX
cana-1240	137	17	assigned	assign	VERB
cana-1240	137	18	greater	great	ADJ
cana-1240	137	19	weight	weight	NOUN
cana-1240	137	20	than	than	ADP
cana-1240	137	21	its	its	PRON
cana-1240	137	22	surrounding	surround	VERB
cana-1240	137	23	pixels	pixel	NOUN
cana-1240	137	24	.	.	PUNCT
cana-1240	138	1	a	a	DET
cana-1240	138	2	two	two	NUM
cana-1240	138	3	-	-	PUNCT
cana-1240	138	4	dimensional	dimensional	ADJ
cana-1240	138	5	array	array	NOUN
cana-1240	138	6	at	at	ADP
cana-1240	138	7	[	[	X
cana-1240	138	8	𝑥	𝑥	X
cana-1240	138	9	,	,	PUNCT
cana-1240	138	10	𝑦	𝑦	NOUN
cana-1240	138	11	]	]	X
cana-1240	138	12	is	be	AUX
cana-1240	138	13	used	use	VERB
cana-1240	138	14	to	to	PART
cana-1240	138	15	represent	represent	VERB
cana-1240	138	16	the	the	DET
cana-1240	138	17	gaussian	gaussian	ADJ
cana-1240	138	18	filter	filter	NOUN
cana-1240	138	19	.	.	PUNCT
cana-1240	139	1	the	the	DET
cana-1240	139	2	gaussian	gaussian	ADJ
cana-1240	139	3	filter	filter	NOUN
cana-1240	139	4	is	be	AUX
cana-1240	139	5	represented	represent	VERB
cana-1240	139	6	in	in	ADP
cana-1240	139	7	the	the	DET
cana-1240	139	8	equation	equation	NOUN
cana-1240	139	9	(	(	PUNCT
cana-1240	139	10	1	1	NUM
cana-1240	139	11	)	)	PUNCT
cana-1240	139	12	.	.	PUNCT
cana-1240	140	1	𝐺(𝑥	𝐺(𝑥	NOUN
cana-1240	140	2	,	,	PUNCT
cana-1240	140	3	𝑦	𝑦	NOUN
cana-1240	140	4	)	)	PUNCT
cana-1240	140	5	=	=	SYM
cana-1240	140	6	1	1	NUM
cana-1240	140	7	2𝜋𝜎2	2𝜋𝜎2	NUM
cana-1240	140	8	𝑒	𝑒	PRON
cana-1240	140	9	−	−	PROPN
cana-1240	140	10	𝑥2+𝑦2	𝑥2+𝑦2	PROPN
cana-1240	140	11	2𝜎2	2𝜎2	NUM
cana-1240	140	12	(	(	PUNCT
cana-1240	140	13	1	1	NUM
cana-1240	140	14	)	)	PUNCT
cana-1240	140	15	where	where	SCONJ
cana-1240	140	16	𝜎	𝜎	PROPN
cana-1240	140	17	indicates	indicate	VERB
cana-1240	140	18	a	a	DET
cana-1240	140	19	standard	standard	ADJ
cana-1240	140	20	deviation	deviation	NOUN
cana-1240	140	21	or	or	CCONJ
cana-1240	140	22	sigma	sigma	NOUN
cana-1240	140	23	,	,	PUNCT
cana-1240	140	24	and	and	CCONJ
cana-1240	140	25	𝐺(𝑥	𝐺(𝑥	NOUN
cana-1240	140	26	,	,	PUNCT
cana-1240	140	27	𝑦	𝑦	NUM
cana-1240	140	28	)	)	PUNCT
cana-1240	140	29	indicates	indicate	VERB
cana-1240	140	30	an	an	DET
cana-1240	140	31	element	element	NOUN
cana-1240	140	32	of	of	ADP
cana-1240	140	33	the	the	DET
cana-1240	140	34	gauss	gauss	ADJ
cana-1240	140	35	matrix	matrix	NOUN
cana-1240	140	36	at	at	ADP
cana-1240	140	37	position	position	NOUN
cana-1240	140	38	[	[	X
cana-1240	140	39	𝑥	𝑥	X
cana-1240	140	40	,	,	PUNCT
cana-1240	140	41	𝑦	𝑦	NOUN
cana-1240	140	42	]	]	X
cana-1240	140	43	.	.	PUNCT
cana-1240	141	1	the	the	DET
cana-1240	141	2	gauss	gauss	ADJ
cana-1240	141	3	matrix	matrix	NOUN
cana-1240	141	4	's	's	PART
cana-1240	141	5	size	size	NOUN
cana-1240	141	6	,	,	PUNCT
cana-1240	141	7	denoted	denote	VERB
cana-1240	141	8	by	by	ADP
cana-1240	141	9	the	the	DET
cana-1240	141	10	values	value	NOUN
cana-1240	141	11	𝑥	𝑥	NOUN
cana-1240	141	12	,	,	PUNCT
cana-1240	141	13	𝑦	𝑦	PRON
cana-1240	141	14	provides	provide	VERB
cana-1240	141	15	the	the	DET
cana-1240	141	16	points	point	NOUN
cana-1240	141	17	𝑥	𝑥	X
cana-1240	141	18	to	to	ADP
cana-1240	141	19	+	+	NOUN
cana-1240	141	20	𝑥	𝑥	PROPN
cana-1240	141	21	and	and	CCONJ
cana-1240	141	22	its	its	PRON
cana-1240	141	23	middle	middle	ADJ
cana-1240	141	24	points	point	NOUN
cana-1240	141	25	at	at	ADP
cana-1240	141	26	𝑦	𝑦	NOUN
cana-1240	141	27	=	=	SYM
cana-1240	141	28	0	0	NUM
cana-1240	141	29	and	and	CCONJ
cana-1240	141	30	𝑥	𝑥	NOUN
cana-1240	141	31	=	=	SYM
cana-1240	141	32	0	0	X
cana-1240	141	33	.	.	PUNCT
cana-1240	141	34	communications	communication	NOUN
cana-1240	141	35	on	on	ADP
cana-1240	141	36	applied	apply	VERB
cana-1240	141	37	nonlinear	nonlinear	ADJ
cana-1240	141	38	analysis	analysis	NOUN
cana-1240	141	39	issn	issn	NOUN
cana-1240	141	40	:	:	PUNCT
cana-1240	141	41	1074	1074	NUM
cana-1240	141	42	-	-	PUNCT
cana-1240	141	43	133x	133x	NUM
cana-1240	141	44	vol	vol	NOUN
cana-1240	141	45	31	31	NUM
cana-1240	141	46	no	no	NOUN
cana-1240	141	47	.	.	PUNCT
cana-1240	142	1	6s	6s	NUM
cana-1240	142	2	(	(	PUNCT
cana-1240	142	3	2024	2024	NUM
cana-1240	142	4	)	)	PUNCT
cana-1240	142	5	505	505	NUM
cana-1240	142	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1240	142	7	(	(	PUNCT
cana-1240	142	8	ii	ii	NOUN
cana-1240	142	9	)	)	PUNCT
cana-1240	142	10	modified	modify	VERB
cana-1240	142	11	clahe	clahe	NOUN
cana-1240	142	12	a	a	DET
cana-1240	142	13	type	type	NOUN
cana-1240	142	14	of	of	ADP
cana-1240	142	15	algorithm	algorithm	NOUN
cana-1240	142	16	known	know	VERB
cana-1240	142	17	as	as	ADP
cana-1240	142	18	adaptive	adaptive	ADJ
cana-1240	142	19	histogram	histogram	NOUN
cana-1240	142	20	equalization	equalization	NOUN
cana-1240	142	21	,	,	PUNCT
cana-1240	142	22	or	or	CCONJ
cana-1240	142	23	ahe	ahe	NOUN
cana-1240	142	24	,	,	PUNCT
cana-1240	142	25	is	be	AUX
cana-1240	142	26	clahe	clahe	ADJ
cana-1240	142	27	.	.	PUNCT
cana-1240	143	1	by	by	ADP
cana-1240	143	2	utilizing	utilize	VERB
cana-1240	143	3	the	the	DET
cana-1240	143	4	parameters	parameter	NOUN
cana-1240	143	5	for	for	ADP
cana-1240	143	6	the	the	DET
cana-1240	143	7	clip	clip	NOUN
cana-1240	143	8	limit	limit	NOUN
cana-1240	143	9	and	and	CCONJ
cana-1240	143	10	number	number	NOUN
cana-1240	143	11	of	of	ADP
cana-1240	143	12	tiles	tile	NOUN
cana-1240	143	13	,	,	PUNCT
cana-1240	143	14	clahe	clahe	NOUN
cana-1240	143	15	addresses	address	VERB
cana-1240	143	16	the	the	DET
cana-1240	143	17	over	over	ADJ
cana-1240	143	18	amplification	amplification	NOUN
cana-1240	143	19	issue	issue	NOUN
cana-1240	143	20	with	with	ADP
cana-1240	143	21	the	the	DET
cana-1240	143	22	traditional	traditional	ADJ
cana-1240	143	23	ahe.clahe	ahe.clahe	X
cana-1240	143	24	divides	divide	VERB
cana-1240	143	25	the	the	DET
cana-1240	143	26	image	image	NOUN
cana-1240	143	27	into	into	ADP
cana-1240	143	28	local	local	ADJ
cana-1240	143	29	tiles	tile	NOUN
cana-1240	143	30	for	for	ADP
cana-1240	143	31	𝑀𝑥𝑁.	𝑀𝑥𝑁.	PROPN
cana-1240	143	32	the	the	DET
cana-1240	143	33	histogram	histogram	NOUN
cana-1240	143	34	is	be	AUX
cana-1240	143	35	calculated	calculate	VERB
cana-1240	143	36	for	for	ADP
cana-1240	143	37	every	every	DET
cana-1240	143	38	tile	tile	NOUN
cana-1240	143	39	separately	separately	ADV
cana-1240	143	40	.	.	PUNCT
cana-1240	144	1	the	the	DET
cana-1240	144	2	average	average	ADJ
cana-1240	144	3	number	number	NOUN
cana-1240	144	4	of	of	ADP
cana-1240	144	5	pixels	pixel	NOUN
cana-1240	144	6	in	in	ADP
cana-1240	144	7	each	each	DET
cana-1240	144	8	region	region	NOUN
cana-1240	144	9	must	must	AUX
cana-1240	144	10	first	first	ADV
cana-1240	144	11	be	be	AUX
cana-1240	144	12	determined	determine	VERB
cana-1240	144	13	using	use	VERB
cana-1240	144	14	in	in	ADP
cana-1240	144	15	order	order	NOUN
cana-1240	144	16	to	to	PART
cana-1240	144	17	calculate	calculate	VERB
cana-1240	144	18	the	the	DET
cana-1240	144	19	histogram	histogram	NOUN
cana-1240	144	20	.	.	PUNCT
cana-1240	145	1	𝑁𝐴	𝑁𝐴	NOUN
cana-1240	145	2	=	=	SYM
cana-1240	145	3	𝑁𝑋	𝑁𝑋	PROPN
cana-1240	145	4	×𝑁𝑌	×𝑁𝑌	PROPN
cana-1240	145	5	𝑁𝐺	𝑁𝐺	PROPN
cana-1240	145	6	(	(	PUNCT
cana-1240	145	7	2	2	NUM
cana-1240	145	8	)	)	PUNCT
cana-1240	145	9	the	the	DET
cana-1240	145	10	number	number	NOUN
cana-1240	145	11	of	of	ADP
cana-1240	145	12	pixels	pixel	NOUN
cana-1240	145	13	in	in	ADP
cana-1240	145	14	the	the	DET
cana-1240	145	15	𝑋	𝑋	PROPN
cana-1240	145	16	dimension	dimension	NOUN
cana-1240	145	17	is	be	AUX
cana-1240	145	18	𝑁𝑋	𝑁𝑋	PROPN
cana-1240	145	19	,	,	PUNCT
cana-1240	145	20	the	the	DET
cana-1240	145	21	number	number	NOUN
cana-1240	145	22	of	of	ADP
cana-1240	145	23	pixels	pixel	NOUN
cana-1240	145	24	in	in	ADP
cana-1240	145	25	the	the	DET
cana-1240	145	26	𝑌	𝑌	PROPN
cana-1240	145	27	dimension	dimension	NOUN
cana-1240	145	28	is	be	AUX
cana-1240	145	29	𝑁𝑌	𝑁𝑌	PROPN
cana-1240	145	30	,	,	PUNCT
cana-1240	145	31	and	and	CCONJ
cana-1240	145	32	the	the	DET
cana-1240	145	33	number	number	NOUN
cana-1240	145	34	of	of	ADP
cana-1240	145	35	gray	gray	ADJ
cana-1240	145	36	levels	level	NOUN
cana-1240	145	37	is	be	AUX
cana-1240	145	38	𝑁𝐺	𝑁𝐺	PROPN
cana-1240	145	39	.	.	PUNCT
cana-1240	146	1	the	the	DET
cana-1240	146	2	average	average	ADJ
cana-1240	146	3	number	number	NOUN
cana-1240	146	4	of	of	ADP
cana-1240	146	5	pixels	pixel	NOUN
cana-1240	146	6	is	be	AUX
cana-1240	146	7	𝑁𝐴.	𝑁𝐴.	X
cana-1240	146	8	after	after	ADP
cana-1240	146	9	that	that	PRON
cana-1240	146	10	,	,	PUNCT
cana-1240	146	11	we	we	PRON
cana-1240	146	12	can	can	AUX
cana-1240	146	13	clip	clip	VERB
cana-1240	146	14	the	the	DET
cana-1240	146	15	histogram	histogram	NOUN
cana-1240	146	16	by	by	ADP
cana-1240	146	17	defining	define	VERB
cana-1240	146	18	the	the	DET
cana-1240	146	19	clip	clip	NOUN
cana-1240	146	20	limit	limit	NOUN
cana-1240	146	21	as	as	ADP
cana-1240	146	22	in	in	ADP
cana-1240	146	23	eq	eq	NOUN
cana-1240	146	24	.	.	PUNCT
cana-1240	147	1	(	(	PUNCT
cana-1240	147	2	2	2	NUM
cana-1240	147	3	)	)	PUNCT
cana-1240	147	4	.	.	PUNCT
cana-1240	148	1	𝑁𝐶𝐿	𝑁𝐶𝐿	PROPN
cana-1240	148	2	=	=	SYM
cana-1240	148	3	𝑓(𝐼	𝑓(𝐼	PROPN
cana-1240	148	4	)	)	PUNCT
cana-1240	148	5	×	×	PROPN
cana-1240	148	6	𝑁𝐴	𝑁𝐴	PROPN
cana-1240	148	7	×	×	NOUN
cana-1240	148	8	𝑁𝑁𝐶𝐿	𝑁𝑁𝐶𝐿	PROPN
cana-1240	148	9	(	(	PUNCT
cana-1240	148	10	3	3	NUM
cana-1240	148	11	)	)	PUNCT
cana-1240	148	12	the	the	DET
cana-1240	148	13	clip	clip	NOUN
cana-1240	148	14	limit	limit	NOUN
cana-1240	148	15	(	(	PUNCT
cana-1240	148	16	𝑁𝐶𝐿	𝑁𝐶𝐿	PROPN
cana-1240	148	17	)	)	PUNCT
cana-1240	148	18	and	and	CCONJ
cana-1240	148	19	the	the	DET
cana-1240	148	20	normalized	normalize	VERB
cana-1240	148	21	clip	clip	NOUN
cana-1240	148	22	limit	limit	NOUN
cana-1240	148	23	(	(	PUNCT
cana-1240	148	24	𝑁𝑁𝐶𝐿	𝑁𝑁𝐶𝐿	PROPN
cana-1240	148	25	)	)	PUNCT
cana-1240	148	26	between	between	ADP
cana-1240	148	27	0	0	NUM
cana-1240	148	28	and	and	CCONJ
cana-1240	148	29	1	1	NUM
cana-1240	148	30	are	be	AUX
cana-1240	148	31	defined	define	VERB
cana-1240	148	32	in	in	ADP
cana-1240	148	33	eq	eq	ADP
cana-1240	148	34	.	.	PUNCT
cana-1240	149	1	(	(	PUNCT
cana-1240	149	2	3	3	NUM
cana-1240	149	3	)	)	PUNCT
cana-1240	149	4	.	.	PUNCT
cana-1240	150	1	𝑓(𝐼	𝑓(𝐼	NOUN
cana-1240	150	2	)	)	PUNCT
cana-1240	150	3	function	function	NOUN
cana-1240	150	4	uses	use	VERB
cana-1240	150	5	the	the	DET
cana-1240	150	6	local	local	ADJ
cana-1240	150	7	image	image	NOUN
cana-1240	150	8	characteristics	characteristic	NOUN
cana-1240	150	9	to	to	PART
cana-1240	150	10	capture	capture	VERB
cana-1240	150	11	the	the	DET
cana-1240	150	12	variability	variability	NOUN
cana-1240	150	13	in	in	ADP
cana-1240	150	14	the	the	DET
cana-1240	150	15	clip	clip	NOUN
cana-1240	150	16	limit	limit	NOUN
cana-1240	150	17	.	.	PUNCT
cana-1240	151	1	pixel	pixel	PROPN
cana-1240	151	2	values	value	NOUN
cana-1240	151	3	,	,	PUNCT
cana-1240	151	4	gradients	gradient	NOUN
cana-1240	151	5	,	,	PUNCT
cana-1240	151	6	and	and	CCONJ
cana-1240	151	7	any	any	DET
cana-1240	151	8	other	other	ADJ
cana-1240	151	9	pertinent	pertinent	ADJ
cana-1240	151	10	image	image	NOUN
cana-1240	151	11	features	feature	NOUN
cana-1240	151	12	may	may	AUX
cana-1240	151	13	be	be	AUX
cana-1240	151	14	taken	take	VERB
cana-1240	151	15	into	into	ADP
cana-1240	151	16	account	account	NOUN
cana-1240	151	17	by	by	ADP
cana-1240	151	18	this	this	PRON
cana-1240	151	19	function.the	function.the	DET
cana-1240	151	20	choice	choice	NOUN
cana-1240	151	21	of	of	ADP
cana-1240	151	22	this	this	DET
cana-1240	151	23	function	function	NOUN
cana-1240	151	24	depends	depend	VERB
cana-1240	151	25	on	on	ADP
cana-1240	151	26	the	the	DET
cana-1240	151	27	specific	specific	ADJ
cana-1240	151	28	characteristics	characteristic	NOUN
cana-1240	151	29	you	you	PRON
cana-1240	151	30	want	want	VERB
cana-1240	151	31	to	to	PART
cana-1240	151	32	emphasize	emphasize	VERB
cana-1240	151	33	in	in	ADP
cana-1240	151	34	determining	determine	VERB
cana-1240	151	35	the	the	DET
cana-1240	151	36	clip	clip	NOUN
cana-1240	151	37	limit	limit	NOUN
cana-1240	151	38	.	.	PUNCT
cana-1240	152	1	the	the	DET
cana-1240	152	2	function	function	NOUN
cana-1240	152	3	can	can	AUX
cana-1240	152	4	raise	raise	VERB
cana-1240	152	5	the	the	DET
cana-1240	152	6	clip	clip	NOUN
cana-1240	152	7	limit	limit	NOUN
cana-1240	152	8	for	for	ADP
cana-1240	152	9	areas	area	NOUN
cana-1240	152	10	of	of	ADP
cana-1240	152	11	the	the	DET
cana-1240	152	12	image	image	NOUN
cana-1240	152	13	that	that	PRON
cana-1240	152	14	have	have	VERB
cana-1240	152	15	sharper	sharp	ADJ
cana-1240	152	16	transitions	transition	NOUN
cana-1240	152	17	or	or	CCONJ
cana-1240	152	18	higher	high	ADJ
cana-1240	152	19	contrast	contrast	NOUN
cana-1240	152	20	.	.	PUNCT
cana-1240	153	1	on	on	ADP
cana-1240	153	2	the	the	DET
cana-1240	153	3	other	other	ADJ
cana-1240	153	4	hand	hand	NOUN
cana-1240	153	5	,	,	PUNCT
cana-1240	153	6	areas	area	NOUN
cana-1240	153	7	with	with	ADP
cana-1240	153	8	softer	soft	ADJ
cana-1240	153	9	transitions	transition	NOUN
cana-1240	153	10	or	or	CCONJ
cana-1240	153	11	less	less	ADJ
cana-1240	153	12	contrast	contrast	NOUN
cana-1240	153	13	might	might	AUX
cana-1240	153	14	have	have	VERB
cana-1240	153	15	a	a	DET
cana-1240	153	16	lower	low	ADJ
cana-1240	153	17	clip	clip	NOUN
cana-1240	153	18	limit.with	limit.with	ADP
cana-1240	153	19	this	this	DET
cana-1240	153	20	modification	modification	NOUN
cana-1240	153	21	,	,	PUNCT
cana-1240	153	22	the	the	DET
cana-1240	153	23	clahe	clahe	PROPN
cana-1240	153	24	algorithm	algorithm	NOUN
cana-1240	153	25	can	can	AUX
cana-1240	153	26	now	now	ADV
cana-1240	153	27	adapt	adapt	VERB
cana-1240	153	28	better	well	ADV
cana-1240	153	29	to	to	ADP
cana-1240	153	30	various	various	ADJ
cana-1240	153	31	image	image	NOUN
cana-1240	153	32	structures	structure	NOUN
cana-1240	153	33	and	and	CCONJ
cana-1240	153	34	perform	perform	VERB
cana-1240	153	35	contrast	contrast	NOUN
cana-1240	153	36	enhancement	enhancement	NOUN
cana-1240	153	37	more	more	ADV
cana-1240	153	38	sensitively	sensitively	ADV
cana-1240	153	39	to	to	ADP
cana-1240	153	40	the	the	DET
cana-1240	153	41	unique	unique	ADJ
cana-1240	153	42	properties	property	NOUN
cana-1240	153	43	of	of	ADP
cana-1240	153	44	the	the	DET
cana-1240	153	45	local	local	ADJ
cana-1240	153	46	regions	region	NOUN
cana-1240	153	47	within	within	ADP
cana-1240	153	48	the	the	DET
cana-1240	153	49	image	image	NOUN
cana-1240	153	50	.	.	PUNCT
cana-1240	154	1	next	next	ADV
cana-1240	154	2	,	,	PUNCT
cana-1240	154	3	using	use	VERB
cana-1240	154	4	eq	eq	X
cana-1240	154	5	.	.	PUNCT
cana-1240	155	1	(	(	PUNCT
cana-1240	155	2	4	4	NUM
cana-1240	155	3	)	)	PUNCT
cana-1240	155	4	,	,	PUNCT
cana-1240	155	5	the	the	DET
cana-1240	155	6	clip	clip	NOUN
cana-1240	155	7	limit	limit	NOUN
cana-1240	155	8	is	be	AUX
cana-1240	155	9	applied	apply	VERB
cana-1240	155	10	for	for	ADP
cana-1240	155	11	each	each	DET
cana-1240	155	12	tile	tile	NOUN
cana-1240	155	13	's	's	PART
cana-1240	155	14	height	height	NOUN
cana-1240	155	15	of	of	ADP
cana-1240	155	16	the	the	DET
cana-1240	155	17	histogram	histogram	NOUN
cana-1240	155	18	.	.	PUNCT
cana-1240	156	1	𝐻𝑖	𝐻𝑖	PROPN
cana-1240	156	2	=	=	PUNCT
cana-1240	156	3	{	{	PUNCT
cana-1240	156	4	𝑁𝐶𝐿	𝑁𝐶𝐿	PROPN
cana-1240	156	5	𝑖𝑓	𝑖𝑓	NUM
cana-1240	156	6	𝑁𝑖	𝑁𝑖	PROPN
cana-1240	156	7	≥	≥	NOUN
cana-1240	156	8	𝑁𝐶𝐿	𝑁𝐶𝐿	PROPN
cana-1240	157	1	𝑁𝑖	𝑁𝑖	INTJ
cana-1240	157	2	𝑒𝑙𝑠𝑒	𝑒𝑙𝑠𝑒	NOUN
cana-1240	157	3	𝑖	𝑖	NOUN
cana-1240	157	4	=	=	SYM
cana-1240	157	5	1,2	1,2	NUM
cana-1240	157	6	,	,	PUNCT
cana-1240	157	7	…	…	PUNCT
cana-1240	157	8	.	.	PUNCT
cana-1240	158	1	,	,	PUNCT
cana-1240	158	2	𝑙	𝑙	X
cana-1240	158	3	−	−	NUM
cana-1240	158	4	1	1	NUM
cana-1240	158	5	(	(	PUNCT
cana-1240	158	6	4	4	X
cana-1240	158	7	)	)	PUNCT
cana-1240	158	8	𝐿	𝐿	PROPN
cana-1240	158	9	is	be	AUX
cana-1240	158	10	the	the	DET
cana-1240	158	11	number	number	NOUN
cana-1240	158	12	of	of	ADP
cana-1240	158	13	gray	gray	ADJ
cana-1240	158	14	levels	level	NOUN
cana-1240	158	15	,	,	PUNCT
cana-1240	158	16	𝐻𝑖	𝐻𝑖	PROPN
cana-1240	158	17	is	be	AUX
cana-1240	158	18	the	the	DET
cana-1240	158	19	height	height	NOUN
cana-1240	158	20	of	of	ADP
cana-1240	158	21	the	the	DET
cana-1240	158	22	ith	ith	PROPN
cana-1240	158	23	tile	tile	NOUN
cana-1240	158	24	's	's	PART
cana-1240	158	25	histogram	histogram	NOUN
cana-1240	158	26	,	,	PUNCT
cana-1240	158	27	and	and	CCONJ
cana-1240	158	28	𝑁𝑖	𝑁𝑖	PROPN
cana-1240	158	29	is	be	AUX
cana-1240	158	30	the	the	DET
cana-1240	158	31	ith	ith	PROPN
cana-1240	158	32	tile	tile	NOUN
cana-1240	158	33	's	's	PART
cana-1240	158	34	histogram	histogram	NOUN
cana-1240	158	35	.	.	PUNCT
cana-1240	159	1	equation	equation	NOUN
cana-1240	159	2	(	(	PUNCT
cana-1240	159	3	5	5	X
cana-1240	159	4	)	)	PUNCT
cana-1240	159	5	can	can	AUX
cana-1240	159	6	be	be	AUX
cana-1240	159	7	used	use	VERB
cana-1240	159	8	to	to	PART
cana-1240	159	9	calculate	calculate	VERB
cana-1240	159	10	the	the	DET
cana-1240	159	11	total	total	ADJ
cana-1240	159	12	number	number	NOUN
cana-1240	159	13	of	of	ADP
cana-1240	159	14	clipped	clip	VERB
cana-1240	159	15	pixels	pixel	NOUN
cana-1240	159	16	.	.	PUNCT
cana-1240	160	1	𝑁𝐶	𝑁𝐶	PROPN
cana-1240	160	2	=	=	SYM
cana-1240	160	3	(	(	PUNCT
cana-1240	160	4	𝑁𝑋	𝑁𝑋	PROPN
cana-1240	160	5	×	×	NOUN
cana-1240	160	6	𝑁𝑌	𝑁𝑌	PROPN
cana-1240	160	7	)	)	PUNCT
cana-1240	160	8	−	−	NOUN
cana-1240	160	9	∑	∑	PUNCT
cana-1240	161	1	𝐻𝑖	𝐻𝑖	PROPN
cana-1240	161	2	𝐿−1	𝐿−1	PRON
cana-1240	161	3	𝑖=0	𝑖=0	PROPN
cana-1240	161	4	(	(	PUNCT
cana-1240	161	5	5	5	NUM
cana-1240	161	6	)	)	PUNCT
cana-1240	161	7	where	where	SCONJ
cana-1240	161	8	number	number	NOUN
cana-1240	161	9	of	of	ADP
cana-1240	161	10	clipped	clip	VERB
cana-1240	161	11	pixels	pixel	NOUN
cana-1240	161	12	is	be	AUX
cana-1240	161	13	𝑁𝐶.	𝑁𝐶.	NOUN
cana-1240	161	14	the	the	DET
cana-1240	161	15	clipped	clip	VERB
cana-1240	161	16	pixels	pixel	NOUN
cana-1240	161	17	must	must	AUX
cana-1240	161	18	also	also	ADV
cana-1240	161	19	be	be	AUX
cana-1240	161	20	redistributed	redistribute	VERB
cana-1240	161	21	after	after	SCONJ
cana-1240	161	22	𝑁𝐶	𝑁𝐶	PROPN
cana-1240	161	23	has	have	AUX
cana-1240	161	24	been	be	AUX
cana-1240	161	25	calculated	calculate	VERB
cana-1240	161	26	.	.	PUNCT
cana-1240	162	1	there	there	PRON
cana-1240	162	2	are	be	VERB
cana-1240	162	3	two	two	NUM
cana-1240	162	4	possible	possible	ADJ
cana-1240	162	5	distributions	distribution	NOUN
cana-1240	162	6	for	for	ADP
cana-1240	162	7	the	the	DET
cana-1240	162	8	pixels	pixel	NOUN
cana-1240	162	9	:	:	PUNCT
cana-1240	162	10	uniform	uniform	ADJ
cana-1240	162	11	and	and	CCONJ
cana-1240	162	12	non	non	ADJ
cana-1240	162	13	-	-	ADJ
cana-1240	162	14	uniform	uniform	ADJ
cana-1240	162	15	.	.	PUNCT
cana-1240	163	1	eq	eq	ADJ
cana-1240	163	2	.	.	PUNCT
cana-1240	164	1	(	(	PUNCT
cana-1240	164	2	6	6	NUM
cana-1240	164	3	)	)	PUNCT
cana-1240	164	4	is	be	AUX
cana-1240	164	5	used	use	VERB
cana-1240	164	6	to	to	PART
cana-1240	164	7	determine	determine	VERB
cana-1240	164	8	the	the	DET
cana-1240	164	9	number	number	NOUN
cana-1240	164	10	of	of	ADP
cana-1240	164	11	pixels	pixel	NOUN
cana-1240	164	12	that	that	PRON
cana-1240	164	13	need	need	VERB
cana-1240	164	14	to	to	PART
cana-1240	164	15	be	be	AUX
cana-1240	164	16	redistributed	redistribute	VERB
cana-1240	164	17	.	.	PUNCT
cana-1240	165	1	𝑁𝑅	𝑁𝑅	PROPN
cana-1240	165	2	=	=	SYM
cana-1240	165	3	𝑁𝐶	𝑁𝐶	PROPN
cana-1240	165	4	𝐿⁄	𝐿⁄	X
cana-1240	165	5	(	(	PUNCT
cana-1240	165	6	6	6	NUM
cana-1240	165	7	)	)	PUNCT
cana-1240	165	8	the	the	DET
cana-1240	165	9	number	number	NOUN
cana-1240	165	10	of	of	ADP
cana-1240	165	11	pixels	pixel	NOUN
cana-1240	165	12	to	to	PART
cana-1240	165	13	be	be	AUX
cana-1240	165	14	redistributed	redistribute	VERB
cana-1240	165	15	is	be	AUX
cana-1240	165	16	denoted	denote	VERB
cana-1240	165	17	by	by	ADP
cana-1240	165	18	𝑁𝑅.	𝑁𝑅.	PROPN
cana-1240	165	19	after	after	ADP
cana-1240	165	20	that	that	PRON
cana-1240	165	21	,	,	PUNCT
cana-1240	165	22	eq	eq	NOUN
cana-1240	165	23	.	.	PUNCT
cana-1240	166	1	(	(	PUNCT
cana-1240	166	2	7	7	X
cana-1240	166	3	)	)	PUNCT
cana-1240	166	4	is	be	AUX
cana-1240	166	5	used	use	VERB
cana-1240	166	6	to	to	PART
cana-1240	166	7	normalize	normalize	VERB
cana-1240	166	8	the	the	DET
cana-1240	166	9	clipped	clip	VERB
cana-1240	166	10	histogram	histogram	NOUN
cana-1240	166	11	.	.	PUNCT
cana-1240	167	1	𝐻𝑖	𝐻𝑖	PROPN
cana-1240	167	2	=	=	PUNCT
cana-1240	167	3	{	{	PUNCT
cana-1240	167	4	𝑁𝐶𝐿	𝑁𝐶𝐿	PROPN
cana-1240	167	5	𝑖𝑓	𝑖𝑓	X
cana-1240	167	6	𝑁𝑖	𝑁𝑖	PROPN
cana-1240	167	7	+	+	CCONJ
cana-1240	167	8	𝑁𝑅	𝑁𝑅	PROPN
cana-1240	167	9	≥	≥	PRON
cana-1240	167	10	𝑁𝐶𝐿	𝑁𝐶𝐿	NOUN
cana-1240	167	11	𝑁𝑖	𝑁𝑖	PROPN
cana-1240	167	12	+	+	CCONJ
cana-1240	167	13	𝑁𝑅	𝑁𝑅	PROPN
cana-1240	167	14	𝑒𝑙𝑠𝑒	𝑒𝑙𝑠𝑒	NOUN
cana-1240	167	15	𝑖	𝑖	NOUN
cana-1240	167	16	=	=	SYM
cana-1240	167	17	1,2	1,2	NUM
cana-1240	167	18	,	,	PUNCT
cana-1240	167	19	…	…	PUNCT
cana-1240	167	20	.	.	PUNCT
cana-1240	168	1	,	,	PUNCT
cana-1240	168	2	𝑙	𝑙	X
cana-1240	168	3	−	−	NUM
cana-1240	168	4	1	1	NUM
cana-1240	168	5	(	(	PUNCT
cana-1240	168	6	7	7	NUM
cana-1240	168	7	)	)	PUNCT
cana-1240	168	8	equations	equation	NOUN
cana-1240	168	9	(	(	PUNCT
cana-1240	168	10	4	4	NUM
cana-1240	168	11	)	)	PUNCT
cana-1240	168	12	and	and	CCONJ
cana-1240	168	13	(	(	PUNCT
cana-1240	168	14	5	5	X
cana-1240	168	15	)	)	PUNCT
cana-1240	168	16	are	be	AUX
cana-1240	168	17	used	use	VERB
cana-1240	168	18	to	to	PART
cana-1240	168	19	calculate	calculate	VERB
cana-1240	168	20	the	the	DET
cana-1240	168	21	number	number	NOUN
cana-1240	168	22	of	of	ADP
cana-1240	168	23	undistributed	undistributed	ADJ
cana-1240	168	24	pixels	pixel	NOUN
cana-1240	168	25	.	.	PUNCT
cana-1240	169	1	eq	eq	X
cana-1240	169	2	.	.	PUNCT
cana-1240	170	1	(	(	PUNCT
cana-1240	170	2	6	6	NUM
cana-1240	170	3	)	)	PUNCT
cana-1240	170	4	is	be	AUX
cana-1240	170	5	repeated	repeat	VERB
cana-1240	170	6	until	until	SCONJ
cana-1240	170	7	all	all	PRON
cana-1240	170	8	of	of	ADP
cana-1240	170	9	the	the	DET
cana-1240	170	10	pixels	pixel	NOUN
cana-1240	170	11	have	have	AUX
cana-1240	170	12	been	be	AUX
cana-1240	170	13	redistributed	redistribute	VERB
cana-1240	170	14	.	.	PUNCT
cana-1240	171	1	finally	finally	ADV
cana-1240	171	2	,	,	PUNCT
cana-1240	171	3	eq	eq	ADJ
cana-1240	171	4	.	.	PUNCT
cana-1240	172	1	(	(	PUNCT
cana-1240	172	2	8)	8)	NUM
cana-1240	172	3	can	can	AUX
cana-1240	172	4	be	be	AUX
cana-1240	172	5	used	use	VERB
cana-1240	172	6	to	to	PART
cana-1240	172	7	express	express	VERB
cana-1240	172	8	the	the	DET
cana-1240	172	9	contextual	contextual	ADJ
cana-1240	172	10	region	region	NOUN
cana-1240	172	11	's	's	PART
cana-1240	172	12	cumulative	cumulative	ADJ
cana-1240	172	13	histogram	histogram	NOUN
cana-1240	172	14	.	.	PUNCT
cana-1240	173	1	communications	communication	NOUN
cana-1240	173	2	on	on	ADP
cana-1240	173	3	applied	apply	VERB
cana-1240	173	4	nonlinear	nonlinear	ADJ
cana-1240	173	5	analysis	analysis	NOUN
cana-1240	173	6	issn	issn	NOUN
cana-1240	173	7	:	:	PUNCT
cana-1240	173	8	1074	1074	NUM
cana-1240	173	9	-	-	PUNCT
cana-1240	173	10	133x	133x	NUM
cana-1240	173	11	vol	vol	NOUN
cana-1240	173	12	31	31	NUM
cana-1240	173	13	no	no	NOUN
cana-1240	173	14	.	.	PUNCT
cana-1240	174	1	6s	6s	NUM
cana-1240	174	2	(	(	PUNCT
cana-1240	174	3	2024	2024	NUM
cana-1240	174	4	)	)	PUNCT
cana-1240	174	5	506	506	NUM
cana-1240	174	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1240	174	7	𝐶𝑖	𝐶𝑖	NOUN
cana-1240	174	8	=	=	SYM
cana-1240	174	9	1	1	NUM
cana-1240	174	10	(	(	PUNCT
cana-1240	174	11	𝑁𝑋×𝑁𝑌	𝑁𝑋×𝑁𝑌	ADV
cana-1240	174	12	)	)	PUNCT
cana-1240	174	13	∑	∑	PUNCT
cana-1240	175	1	𝐻𝑗	𝐻𝑗	PROPN
cana-1240	175	2	𝑖	𝑖	SYM
cana-1240	175	3	𝑗=0	𝑗=0	PROPN
cana-1240	175	4	(	(	PUNCT
cana-1240	175	5	8)	8)	NUM
cana-1240	175	6	the	the	DET
cana-1240	175	7	contextual	contextual	ADJ
cana-1240	175	8	region	region	NOUN
cana-1240	175	9	's	's	PART
cana-1240	175	10	histogram	histogram	NOUN
cana-1240	175	11	is	be	AUX
cana-1240	175	12	matched	match	VERB
cana-1240	175	13	with	with	ADP
cana-1240	175	14	uniform	uniform	NOUN
cana-1240	175	15	,	,	PUNCT
cana-1240	175	16	rayleigh	rayleigh	PROPN
cana-1240	175	17	,	,	PUNCT
cana-1240	175	18	or	or	CCONJ
cana-1240	175	19	exponential	exponential	ADJ
cana-1240	175	20	probability	probability	NOUN
cana-1240	175	21	distributions	distribution	NOUN
cana-1240	175	22	once	once	ADV
cana-1240	175	23	all	all	DET
cana-1240	175	24	computations	computation	NOUN
cana-1240	175	25	have	have	AUX
cana-1240	175	26	been	be	AUX
cana-1240	175	27	finished	finish	VERB
cana-1240	175	28	,	,	PUNCT
cana-1240	175	29	giving	give	VERB
cana-1240	175	30	it	it	PRON
cana-1240	175	31	a	a	DET
cana-1240	175	32	preset	preset	ADJ
cana-1240	175	33	brightness	brightness	NOUN
cana-1240	175	34	and	and	CCONJ
cana-1240	175	35	visual	visual	ADJ
cana-1240	175	36	quality	quality	NOUN
cana-1240	175	37	.	.	PUNCT
cana-1240	176	1	assume	assume	VERB
cana-1240	176	2	that	that	SCONJ
cana-1240	176	3	we	we	PRON
cana-1240	176	4	have	have	VERB
cana-1240	176	5	a	a	DET
cana-1240	176	6	pixel	pixel	NOUN
cana-1240	176	7	𝑃(𝑥	𝑃(𝑥	PRON
cana-1240	176	8	,	,	PUNCT
cana-1240	176	9	𝑦	𝑦	NOUN
cana-1240	176	10	)	)	PUNCT
cana-1240	176	11	with	with	ADP
cana-1240	176	12	a	a	DET
cana-1240	176	13	value	value	NOUN
cana-1240	176	14	of	of	ADP
cana-1240	176	15	𝑠	𝑠	PROPN
cana-1240	176	16	and	and	CCONJ
cana-1240	176	17	that	that	SCONJ
cana-1240	176	18	its	its	PRON
cana-1240	176	19	four	four	NUM
cana-1240	176	20	centre	centre	NOUN
cana-1240	176	21	points	point	NOUN
cana-1240	176	22	𝑅1	𝑅1	PROPN
cana-1240	176	23	,	,	PUNCT
cana-1240	176	24	𝑅2	𝑅2	ADP
cana-1240	176	25	,	,	PUNCT
cana-1240	176	26	𝑅3	𝑅3	PROPN
cana-1240	176	27	,	,	PUNCT
cana-1240	176	28	and	and	CCONJ
cana-1240	176	29	𝑅4	𝑅4	PROPN
cana-1240	176	30	belong	belong	VERB
cana-1240	176	31	to	to	ADP
cana-1240	176	32	the	the	DET
cana-1240	176	33	neighbouring	neighbouring	ADJ
cana-1240	176	34	tiles	tile	NOUN
cana-1240	176	35	.	.	PUNCT
cana-1240	177	1	these	these	DET
cana-1240	177	2	four	four	NUM
cana-1240	177	3	contextual	contextual	ADJ
cana-1240	177	4	regions	region	NOUN
cana-1240	177	5	are	be	AUX
cana-1240	177	6	combined	combine	VERB
cana-1240	177	7	to	to	PART
cana-1240	177	8	create	create	VERB
cana-1240	177	9	a	a	DET
cana-1240	177	10	weighted	weighted	ADJ
cana-1240	177	11	sum	sum	NOUN
cana-1240	177	12	.	.	PUNCT
cana-1240	178	1	3.2	3.2	NUM
cana-1240	178	2	.	.	PUNCT
cana-1240	179	1	roi	roi	NOUN
cana-1240	179	2	identification	identification	NOUN
cana-1240	179	3	roi	roi	NOUN
cana-1240	179	4	must	must	AUX
cana-1240	179	5	be	be	AUX
cana-1240	179	6	identified	identify	VERB
cana-1240	179	7	and	and	CCONJ
cana-1240	179	8	precisely	precisely	ADV
cana-1240	179	9	defined	define	VERB
cana-1240	179	10	as	as	ADP
cana-1240	179	11	a	a	DET
cana-1240	179	12	necessary	necessary	ADJ
cana-1240	179	13	first	first	ADJ
cana-1240	179	14	step	step	NOUN
cana-1240	179	15	.	.	PUNCT
cana-1240	180	1	this	this	DET
cana-1240	180	2	work	work	NOUN
cana-1240	180	3	introduces	introduce	VERB
cana-1240	180	4	an	an	DET
cana-1240	180	5	advanced	advanced	ADJ
cana-1240	180	6	approach	approach	NOUN
cana-1240	180	7	to	to	ADP
cana-1240	180	8	roi	roi	NOUN
cana-1240	180	9	identification	identification	NOUN
cana-1240	180	10	,	,	PUNCT
cana-1240	180	11	employing	employ	VERB
cana-1240	180	12	an	an	DET
cana-1240	180	13	optimized	optimize	VERB
cana-1240	180	14	mask	mask	NOUN
cana-1240	180	15	r	r	NOUN
cana-1240	180	16	-	-	PUNCT
cana-1240	180	17	cnn	cnn	PROPN
cana-1240	180	18	(	(	PUNCT
cana-1240	180	19	region	region	NOUN
cana-1240	180	20	-	-	PUNCT
cana-1240	180	21	based	base	VERB
cana-1240	180	22	convolutional	convolutional	ADJ
cana-1240	180	23	neural	neural	ADJ
cana-1240	180	24	network	network	NOUN
cana-1240	180	25	)	)	PUNCT
cana-1240	180	26	algorithm	algorithm	NOUN
cana-1240	180	27	.	.	PUNCT
cana-1240	181	1	mask	mask	NOUN
cana-1240	181	2	r	r	NOUN
cana-1240	181	3	-	-	PUNCT
cana-1240	181	4	cnn	cnn	PROPN
cana-1240	181	5	is	be	AUX
cana-1240	181	6	an	an	DET
cana-1240	181	7	effective	effective	ADJ
cana-1240	181	8	tool	tool	NOUN
cana-1240	181	9	that	that	PRON
cana-1240	181	10	combines	combine	VERB
cana-1240	181	11	object	object	NOUN
cana-1240	181	12	detection	detection	NOUN
cana-1240	181	13	and	and	CCONJ
cana-1240	181	14	instance	instance	NOUN
cana-1240	181	15	segmentation	segmentation	NOUN
cana-1240	181	16	in	in	ADP
cana-1240	181	17	a	a	DET
cana-1240	181	18	smooth	smooth	ADJ
cana-1240	181	19	way	way	NOUN
cana-1240	181	20	,	,	PUNCT
cana-1240	181	21	making	make	VERB
cana-1240	181	22	it	it	PRON
cana-1240	181	23	possible	possible	ADJ
cana-1240	181	24	to	to	PART
cana-1240	181	25	locate	locate	VERB
cana-1240	181	26	and	and	CCONJ
cana-1240	181	27	define	define	VERB
cana-1240	181	28	the	the	DET
cana-1240	181	29	boundaries	boundary	NOUN
cana-1240	181	30	of	of	ADP
cana-1240	181	31	multiple	multiple	ADJ
cana-1240	181	32	objects	object	NOUN
cana-1240	181	33	within	within	ADP
cana-1240	181	34	an	an	DET
cana-1240	181	35	image	image	NOUN
cana-1240	181	36	.	.	PUNCT
cana-1240	182	1	this	this	DET
cana-1240	182	2	work	work	NOUN
cana-1240	182	3	further	far	ADV
cana-1240	182	4	refines	refine	VERB
cana-1240	182	5	the	the	DET
cana-1240	182	6	hyper	hyper	NOUN
cana-1240	182	7	-	-	NOUN
cana-1240	182	8	parameters	parameter	NOUN
cana-1240	182	9	of	of	ADP
cana-1240	182	10	the	the	DET
cana-1240	182	11	algorithm	algorithm	NOUN
cana-1240	182	12	by	by	ADP
cana-1240	182	13	integrating	integrate	VERB
cana-1240	182	14	a	a	DET
cana-1240	182	15	hybrid	hybrid	ADJ
cana-1240	182	16	optimization	optimization	NOUN
cana-1240	182	17	algorithm	algorithm	NOUN
cana-1240	182	18	,	,	PUNCT
cana-1240	182	19	thereby	thereby	ADV
cana-1240	182	20	improving	improve	VERB
cana-1240	182	21	roi	roi	NOUN
cana-1240	182	22	segmentation	segmentation	NOUN
cana-1240	182	23	accuracy	accuracy	NOUN
cana-1240	182	24	.	.	PUNCT
cana-1240	183	1	chimp	chimp	PROPN
cana-1240	183	2	and	and	CCONJ
cana-1240	183	3	gazelle	gazelle	NOUN
cana-1240	183	4	optimization	optimization	NOUN
cana-1240	183	5	methods	method	NOUN
cana-1240	183	6	are	be	AUX
cana-1240	183	7	uniquely	uniquely	ADV
cana-1240	183	8	combined	combine	VERB
cana-1240	183	9	in	in	ADP
cana-1240	183	10	the	the	DET
cana-1240	183	11	hybrid	hybrid	ADJ
cana-1240	183	12	optimization	optimization	NOUN
cana-1240	183	13	algorithm	algorithm	NOUN
cana-1240	183	14	.	.	PUNCT
cana-1240	184	1	(	(	PUNCT
cana-1240	184	2	i	i	NOUN
cana-1240	184	3	)	)	PUNCT
cana-1240	184	4	mask	mask	VERB
cana-1240	184	5	r	r	PROPN
cana-1240	184	6	-	-	PUNCT
cana-1240	184	7	cnn	cnn	PROPN
cana-1240	184	8	mask	mask	NOUN
cana-1240	184	9	r	r	PROPN
cana-1240	184	10	-	-	PUNCT
cana-1240	184	11	cnn	cnn	PROPN
cana-1240	184	12	is	be	AUX
cana-1240	184	13	a	a	DET
cana-1240	184	14	prominent	prominent	ADJ
cana-1240	184	15	methodology	methodology	NOUN
cana-1240	184	16	for	for	ADP
cana-1240	184	17	segmentation	segmentation	NOUN
cana-1240	184	18	,	,	PUNCT
cana-1240	184	19	capable	capable	ADJ
cana-1240	184	20	of	of	ADP
cana-1240	184	21	not	not	PART
cana-1240	184	22	only	only	ADV
cana-1240	184	23	delineating	delineate	VERB
cana-1240	184	24	a	a	DET
cana-1240	184	25	bounding	bounding	NOUN
cana-1240	184	26	box	box	NOUN
cana-1240	184	27	around	around	ADP
cana-1240	184	28	a	a	DET
cana-1240	184	29	targeted	target	VERB
cana-1240	184	30	object	object	NOUN
cana-1240	184	31	,	,	PUNCT
cana-1240	184	32	but	but	CCONJ
cana-1240	184	33	also	also	ADV
cana-1240	184	34	discerning	discern	VERB
cana-1240	184	35	and	and	CCONJ
cana-1240	184	36	categorizing	categorize	VERB
cana-1240	184	37	whether	whether	SCONJ
cana-1240	184	38	the	the	DET
cana-1240	184	39	pixels	pixel	NOUN
cana-1240	184	40	contained	contain	VERB
cana-1240	184	41	therein	therein	ADV
cana-1240	184	42	pertain	pertain	NOUN
cana-1240	184	43	to	to	ADP
cana-1240	184	44	the	the	DET
cana-1240	184	45	object	object	NOUN
cana-1240	184	46	or	or	CCONJ
cana-1240	184	47	not	not	PART
cana-1240	184	48	.	.	PUNCT
cana-1240	185	1	this	this	DET
cana-1240	185	2	ability	ability	NOUN
cana-1240	185	3	facilitates	facilitates	AUX
cana-1240	185	4	object	object	VERB
cana-1240	185	5	identification	identification	NOUN
cana-1240	185	6	,	,	PUNCT
cana-1240	185	7	boundary	boundary	ADJ
cana-1240	185	8	outlining	outlining	NOUN
cana-1240	185	9	,	,	PUNCT
cana-1240	185	10	and	and	CCONJ
cana-1240	185	11	key	key	ADJ
cana-1240	185	12	point	point	NOUN
cana-1240	185	13	detection	detection	NOUN
cana-1240	185	14	.	.	PUNCT
cana-1240	186	1	mask	mask	NOUN
cana-1240	186	2	r	r	NOUN
cana-1240	186	3	-	-	PUNCT
cana-1240	186	4	cnn	cnn	PROPN
cana-1240	186	5	builds	build	VERB
cana-1240	186	6	upon	upon	SCONJ
cana-1240	186	7	faster	fast	ADJ
cana-1240	186	8	r	r	NOUN
cana-1240	186	9	-	-	PUNCT
cana-1240	186	10	cnn	cnn	PROPN
cana-1240	186	11	and	and	CCONJ
cana-1240	186	12	increases	increase	VERB
cana-1240	186	13	its	its	PRON
cana-1240	186	14	application	application	NOUN
cana-1240	186	15	in	in	ADP
cana-1240	186	16	image	image	NOUN
cana-1240	186	17	segmentation	segmentation	NOUN
cana-1240	186	18	.	.	PUNCT
cana-1240	187	1	region	region	NOUN
cana-1240	187	2	proposal	proposal	NOUN
cana-1240	187	3	networks	network	NOUN
cana-1240	187	4	(	(	PUNCT
cana-1240	187	5	rpns	rpns	PROPN
cana-1240	187	6	)	)	PUNCT
cana-1240	187	7	are	be	AUX
cana-1240	187	8	used	use	VERB
cana-1240	187	9	by	by	ADP
cana-1240	187	10	faster	fast	ADJ
cana-1240	187	11	r	r	NOUN
cana-1240	187	12	-	-	PUNCT
cana-1240	187	13	cnn	cnn	PROPN
cana-1240	187	14	and	and	CCONJ
cana-1240	187	15	mask	mask	PROPN
cana-1240	187	16	rcnn	rcnn	PROPN
cana-1240	187	17	for	for	ADP
cana-1240	187	18	feature	feature	NOUN
cana-1240	187	19	extraction	extraction	NOUN
cana-1240	187	20	,	,	PUNCT
cana-1240	187	21	data	datum	NOUN
cana-1240	187	22	classification	classification	NOUN
cana-1240	187	23	,	,	PUNCT
cana-1240	187	24	and	and	CCONJ
cana-1240	187	25	bounding	bound	VERB
cana-1240	187	26	box	box	NOUN
cana-1240	187	27	tightening	tightening	NOUN
cana-1240	187	28	.	.	PUNCT
cana-1240	188	1	faster	fast	ADJ
cana-1240	188	2	r	r	NOUN
cana-1240	188	3	-	-	PUNCT
cana-1240	188	4	cnn	cnn	PROPN
cana-1240	188	5	employs	employ	VERB
cana-1240	188	6	roipool	roipool	NOUN
cana-1240	188	7	as	as	ADP
cana-1240	188	8	a	a	DET
cana-1240	188	9	feature	feature	NOUN
cana-1240	188	10	extraction	extraction	NOUN
cana-1240	188	11	technique	technique	NOUN
cana-1240	188	12	for	for	ADP
cana-1240	188	13	quantifying	quantify	VERB
cana-1240	188	14	each	each	DET
cana-1240	188	15	roi	roi	NOUN
cana-1240	188	16	region	region	NOUN
cana-1240	188	17	and	and	CCONJ
cana-1240	188	18	using	use	VERB
cana-1240	188	19	maximum	maximum	ADJ
cana-1240	188	20	pooling	pooling	NOUN
cana-1240	188	21	to	to	PART
cana-1240	188	22	address	address	VERB
cana-1240	188	23	the	the	DET
cana-1240	188	24	issue	issue	NOUN
cana-1240	188	25	of	of	ADP
cana-1240	188	26	the	the	DET
cana-1240	188	27	sizes	size	NOUN
cana-1240	188	28	of	of	ADP
cana-1240	188	29	roi	roi	NOUN
cana-1240	188	30	features	feature	NOUN
cana-1240	188	31	at	at	ADP
cana-1240	188	32	various	various	ADJ
cana-1240	188	33	scales	scale	NOUN
cana-1240	188	34	.	.	PUNCT
cana-1240	189	1	however	however	ADV
cana-1240	189	2	,	,	PUNCT
cana-1240	189	3	the	the	DET
cana-1240	189	4	method	method	NOUN
cana-1240	189	5	results	result	VERB
cana-1240	189	6	in	in	ADP
cana-1240	189	7	the	the	DET
cana-1240	189	8	loss	loss	NOUN
cana-1240	189	9	of	of	ADP
cana-1240	189	10	spatial	spatial	ADJ
cana-1240	189	11	information	information	NOUN
cana-1240	189	12	,	,	PUNCT
cana-1240	189	13	misplacing	misplace	VERB
cana-1240	189	14	the	the	DET
cana-1240	189	15	roi	roi	NOUN
cana-1240	189	16	and	and	CCONJ
cana-1240	189	17	extraction	extraction	NOUN
cana-1240	189	18	properties	property	NOUN
cana-1240	189	19	of	of	ADP
cana-1240	189	20	the	the	DET
cana-1240	189	21	original	original	ADJ
cana-1240	189	22	image	image	NOUN
cana-1240	189	23	.	.	PUNCT
cana-1240	190	1	mask	mask	NOUN
cana-1240	190	2	r	r	NOUN
cana-1240	190	3	-	-	PUNCT
cana-1240	190	4	cnn	cnn	PROPN
cana-1240	190	5	uses	use	VERB
cana-1240	190	6	roi	roi	NOUN
cana-1240	190	7	alignment	alignment	NOUN
cana-1240	190	8	(	(	PUNCT
cana-1240	190	9	roialign	roialign	NOUN
cana-1240	190	10	)	)	PUNCT
cana-1240	190	11	in	in	ADP
cana-1240	190	12	place	place	NOUN
cana-1240	190	13	of	of	ADP
cana-1240	190	14	faster	fast	ADJ
cana-1240	190	15	r	r	NOUN
cana-1240	190	16	-	-	PUNCT
cana-1240	190	17	cnn	cnn	PROPN
cana-1240	190	18	's	's	PART
cana-1240	190	19	roi	roi	NOUN
cana-1240	190	20	pooling	pooling	NOUN
cana-1240	190	21	to	to	PART
cana-1240	190	22	address	address	VERB
cana-1240	190	23	this	this	DET
cana-1240	190	24	issue	issue	NOUN
cana-1240	190	25	,	,	PUNCT
cana-1240	190	26	and	and	CCONJ
cana-1240	190	27	then	then	ADV
cana-1240	190	28	uses	use	VERB
cana-1240	190	29	the	the	DET
cana-1240	190	30	mask	mask	NOUN
cana-1240	190	31	branch	branch	NOUN
cana-1240	190	32	to	to	PART
cana-1240	190	33	sequentially	sequentially	ADV
cana-1240	190	34	mark	mark	VERB
cana-1240	190	35	the	the	DET
cana-1240	190	36	roi	roi	NOUN
cana-1240	190	37	alignment	alignment	NOUN
cana-1240	190	38	result	result	NOUN
cana-1240	190	39	for	for	ADP
cana-1240	190	40	the	the	DET
cana-1240	190	41	object	object	NOUN
cana-1240	190	42	region	region	NOUN
cana-1240	190	43	.	.	PUNCT
cana-1240	191	1	after	after	SCONJ
cana-1240	191	2	the	the	DET
cana-1240	191	3	network	network	NOUN
cana-1240	191	4	design	design	NOUN
cana-1240	191	5	was	be	AUX
cana-1240	191	6	finished	finish	VERB
cana-1240	191	7	,	,	PUNCT
cana-1240	191	8	a	a	DET
cana-1240	191	9	radiologist	radiologist	NOUN
cana-1240	191	10	-	-	PUNCT
cana-1240	191	11	drawn	draw	VERB
cana-1240	191	12	tumor	tumor	NOUN
cana-1240	191	13	contour	contour	NOUN
cana-1240	191	14	was	be	AUX
cana-1240	191	15	used	use	VERB
cana-1240	191	16	as	as	ADP
cana-1240	191	17	ground	ground	NOUN
cana-1240	191	18	truth	truth	NOUN
cana-1240	191	19	to	to	PART
cana-1240	191	20	train	train	VERB
cana-1240	191	21	the	the	DET
cana-1240	191	22	mask	mask	NOUN
cana-1240	191	23	r	r	NOUN
cana-1240	191	24	-	-	PUNCT
cana-1240	191	25	cnn	cnn	NOUN
cana-1240	191	26	on	on	ADP
cana-1240	191	27	the	the	DET
cana-1240	191	28	images	image	NOUN
cana-1240	191	29	,	,	PUNCT
cana-1240	191	30	the	the	DET
cana-1240	191	31	accompanying	accompanying	ADJ
cana-1240	191	32	biopsy	biopsy	NOUN
cana-1240	191	33	data	datum	NOUN
cana-1240	191	34	,	,	PUNCT
cana-1240	191	35	and	and	CCONJ
cana-1240	191	36	the	the	DET
cana-1240	191	37	tumour	tumour	NOUN
cana-1240	191	38	contours	contours	NOUN
cana-1240	191	39	.	.	PUNCT
cana-1240	192	1	the	the	DET
cana-1240	192	2	data	datum	NOUN
cana-1240	192	3	from	from	ADP
cana-1240	192	4	the	the	DET
cana-1240	192	5	training	training	NOUN
cana-1240	192	6	set	set	NOUN
cana-1240	192	7	was	be	AUX
cana-1240	192	8	employedto	employedto	ADJ
cana-1240	192	9	build	build	VERB
cana-1240	192	10	a	a	DET
cana-1240	192	11	model	model	NOUN
cana-1240	192	12	,	,	PUNCT
cana-1240	192	13	which	which	PRON
cana-1240	192	14	was	be	AUX
cana-1240	192	15	then	then	ADV
cana-1240	192	16	evaluated	evaluate	VERB
cana-1240	192	17	against	against	ADP
cana-1240	192	18	the	the	DET
cana-1240	192	19	validation	validation	NOUN
cana-1240	192	20	set	set	VERB
cana-1240	192	21	to	to	PART
cana-1240	192	22	make	make	VERB
cana-1240	192	23	sure	sure	ADJ
cana-1240	192	24	it	it	PRON
cana-1240	192	25	was	be	AUX
cana-1240	192	26	accurate	accurate	ADJ
cana-1240	192	27	and	and	CCONJ
cana-1240	192	28	stable	stable	ADJ
cana-1240	192	29	.	.	PUNCT
cana-1240	193	1	the	the	DET
cana-1240	193	2	training	training	NOUN
cana-1240	193	3	method	method	NOUN
cana-1240	193	4	randomly	randomly	ADV
cana-1240	193	5	divided	divide	VERB
cana-1240	193	6	the	the	DET
cana-1240	193	7	cases	case	NOUN
cana-1240	193	8	into	into	ADP
cana-1240	193	9	a	a	DET
cana-1240	193	10	training	training	NOUN
cana-1240	193	11	and	and	CCONJ
cana-1240	193	12	a	a	DET
cana-1240	193	13	validation	validation	NOUN
cana-1240	193	14	set	set	NOUN
cana-1240	193	15	.	.	PUNCT
cana-1240	194	1	the	the	DET
cana-1240	194	2	rpn	rpn	PROPN
cana-1240	194	3	training	training	NOUN
cana-1240	194	4	loss	loss	NOUN
cana-1240	194	5	and	and	CCONJ
cana-1240	194	6	the	the	DET
cana-1240	194	7	multibranch	multibranch	ADJ
cana-1240	194	8	prediction	prediction	NOUN
cana-1240	194	9	network	network	NOUN
cana-1240	194	10	training	training	NOUN
cana-1240	194	11	loss	loss	NOUN
cana-1240	194	12	make	make	VERB
cana-1240	194	13	up	up	ADP
cana-1240	194	14	the	the	DET
cana-1240	194	15	majority	majority	NOUN
cana-1240	194	16	of	of	ADP
cana-1240	194	17	the	the	DET
cana-1240	194	18	mask	mask	NOUN
cana-1240	194	19	r	r	PROPN
cana-1240	194	20	-	-	PUNCT
cana-1240	194	21	cnn	cnn	PROPN
cana-1240	194	22	's	's	PART
cana-1240	194	23	training	training	NOUN
cana-1240	194	24	loss	loss	NOUN
cana-1240	194	25	in	in	ADP
cana-1240	194	26	terms	term	NOUN
cana-1240	194	27	of	of	ADP
cana-1240	194	28	the	the	DET
cana-1240	194	29	loss	loss	NOUN
cana-1240	194	30	function	function	NOUN
cana-1240	194	31	.	.	PUNCT
cana-1240	195	1	the	the	DET
cana-1240	195	2	following	follow	VERB
cana-1240	195	3	equation	equation	NOUN
cana-1240	195	4	(	(	PUNCT
cana-1240	195	5	9	9	NUM
cana-1240	195	6	)	)	PUNCT
cana-1240	195	7	is	be	AUX
cana-1240	195	8	the	the	DET
cana-1240	195	9	training	training	NOUN
cana-1240	195	10	total	total	ADJ
cana-1240	195	11	loss	loss	NOUN
cana-1240	195	12	𝐿𝑓calculation	𝐿𝑓calculation	PROPN
cana-1240	195	13	formula	formula	NOUN
cana-1240	195	14	:	:	PUNCT
cana-1240	196	1	𝐿𝑓	𝐿𝑓	PROPN
cana-1240	196	2	=	=	SYM
cana-1240	196	3	𝐿𝑅𝑃𝑁	𝐿𝑅𝑃𝑁	PROPN
cana-1240	196	4	+	+	CCONJ
cana-1240	196	5	𝐿𝑀𝑢𝑙.𝐵𝑟𝑎𝑛𝑐ℎ	𝐿𝑀𝑢𝑙.𝐵𝑟𝑎𝑛𝑐ℎ	PROPN
cana-1240	196	6	(	(	PUNCT
cana-1240	196	7	9	9	NUM
cana-1240	196	8	)	)	PUNCT
cana-1240	196	9	where	where	SCONJ
cana-1240	196	10	𝐿𝑅𝑃𝑁	𝐿𝑅𝑃𝑁	NOUN
cana-1240	196	11	consists	consist	VERB
cana-1240	196	12	of	of	ADP
cana-1240	196	13	the	the	DET
cana-1240	196	14	rectangular	rectangular	PROPN
cana-1240	196	15	box	box	PROPN
cana-1240	196	16	regression	regression	NOUN
cana-1240	196	17	loss	loss	NOUN
cana-1240	196	18	(	(	PUNCT
cana-1240	196	19	smooth	smooth	ADJ
cana-1240	196	20	𝐿1	𝐿1	PROPN
cana-1240	196	21	loss	loss	NOUN
cana-1240	196	22	)	)	PUNCT
cana-1240	196	23	and	and	CCONJ
cana-1240	196	24	the	the	DET
cana-1240	196	25	anchor	anchor	NOUN
cana-1240	196	26	classification	classification	NOUN
cana-1240	196	27	loss	loss	NOUN
cana-1240	196	28	(	(	PUNCT
cana-1240	196	29	softmax	softmax	NOUN
cana-1240	196	30	loss	loss	NOUN
cana-1240	196	31	)	)	PUNCT
cana-1240	196	32	.	.	PUNCT
cana-1240	197	1	the	the	DET
cana-1240	197	2	lrpn	lrpn	PROPN
cana-1240	197	3	is	be	AUX
cana-1240	197	4	determined	determine	VERB
cana-1240	197	5	as	as	ADP
cana-1240	197	6	per	per	ADP
cana-1240	197	7	the	the	DET
cana-1240	197	8	equation	equation	NOUN
cana-1240	197	9	(	(	PUNCT
cana-1240	197	10	10	10	NUM
cana-1240	197	11	):	):	PUNCT
cana-1240	197	12	𝐿𝑅𝑃𝑁	𝐿𝑅𝑃𝑁	NOUN
cana-1240	197	13	=	=	SYM
cana-1240	197	14	1	1	NUM
cana-1240	197	15	𝑁𝑐𝑙𝑠1	𝑁𝑐𝑙𝑠1	NOUN
cana-1240	197	16	∑	∑	PUNCT
cana-1240	197	17	𝐿𝑐𝑙𝑠(𝑝𝑖	𝐿𝑐𝑙𝑠(𝑝𝑖	INTJ
cana-1240	197	18	,	,	PUNCT
cana-1240	197	19	𝑝𝑖	𝑝𝑖	VERB
cana-1240	197	20	∗	∗	NOUN
cana-1240	197	21	)	)	PUNCT
cana-1240	198	1	+	+	CCONJ
cana-1240	198	2	𝛾1	𝛾1	NOUN
cana-1240	198	3	1	1	NUM
cana-1240	198	4	𝑁𝑟𝑒𝑔1	𝑁𝑟𝑒𝑔1	NOUN
cana-1240	198	5	∑	∑	PUNCT
cana-1240	198	6	𝑝𝑖	𝑝𝑖	VERB
cana-1240	198	7	∗𝐿𝑟𝑒𝑔(𝑡𝑖	∗𝐿𝑟𝑒𝑔(𝑡𝑖	PROPN
cana-1240	198	8	,	,	PUNCT
cana-1240	198	9	𝑡𝑖	𝑡𝑖	NOUN
cana-1240	198	10	∗	∗	NOUN
cana-1240	198	11	𝑖	𝑖	X
cana-1240	198	12	)	)	PUNCT
cana-1240	198	13	𝑖	𝑖	SYM
cana-1240	198	14	(	(	PUNCT
cana-1240	198	15	10	10	NUM
cana-1240	198	16	)	)	PUNCT
cana-1240	198	17	communications	communication	NOUN
cana-1240	198	18	on	on	ADP
cana-1240	198	19	applied	apply	VERB
cana-1240	198	20	nonlinear	nonlinear	ADJ
cana-1240	198	21	analysis	analysis	NOUN
cana-1240	198	22	issn	issn	NOUN
cana-1240	198	23	:	:	PUNCT
cana-1240	198	24	1074	1074	NUM
cana-1240	198	25	-	-	PUNCT
cana-1240	198	26	133x	133x	NUM
cana-1240	198	27	vol	vol	NOUN
cana-1240	198	28	31	31	NUM
cana-1240	198	29	no	no	NOUN
cana-1240	198	30	.	.	PUNCT
cana-1240	199	1	6s	6s	NUM
cana-1240	199	2	(	(	PUNCT
cana-1240	199	3	2024	2024	NUM
cana-1240	199	4	)	)	PUNCT
cana-1240	199	5	507	507	NUM
cana-1240	199	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1240	199	7	where	where	SCONJ
cana-1240	199	8	𝐿𝑀𝑢𝑙.𝐵𝑟𝑎𝑛𝑐ℎ	𝐿𝑀𝑢𝑙.𝐵𝑟𝑎𝑛𝑐ℎ	PROPN
cana-1240	199	9	is	be	AUX
cana-1240	199	10	the	the	DET
cana-1240	199	11	total	total	NOUN
cana-1240	199	12	of	of	ADP
cana-1240	199	13	the	the	DET
cana-1240	199	14	three	three	NUM
cana-1240	199	15	branch	branch	NOUN
cana-1240	199	16	losses	loss	NOUN
cana-1240	199	17	in	in	ADP
cana-1240	199	18	the	the	DET
cana-1240	199	19	multitask	multitask	ADJ
cana-1240	199	20	prediction	prediction	NOUN
cana-1240	199	21	network	network	NOUN
cana-1240	199	22	(	(	PUNCT
cana-1240	199	23	softmax	softmax	NOUN
cana-1240	199	24	loss	loss	NOUN
cana-1240	199	25	,	,	PUNCT
cana-1240	199	26	smoothing	smooth	VERB
cana-1240	199	27	l1	l1	PROPN
cana-1240	199	28	loss	loss	NOUN
cana-1240	199	29	,	,	PUNCT
cana-1240	199	30	and	and	CCONJ
cana-1240	199	31	mask	mask	NOUN
cana-1240	199	32	loss	loss	NOUN
cana-1240	199	33	):	):	PUNCT
cana-1240	199	34	𝐿𝑀𝑢𝑙.𝐵𝑟𝑎𝑛𝑐ℎ	𝐿𝑀𝑢𝑙.𝐵𝑟𝑎𝑛𝑐ℎ	PROPN
cana-1240	199	35	=	=	SYM
cana-1240	199	36	𝐿(𝑝𝑖	𝐿(𝑝𝑖	PROPN
cana-1240	199	37	,	,	PUNCT
cana-1240	199	38	𝑝𝑖	𝑝𝑖	NOUN
cana-1240	199	39	∗	∗	NOUN
cana-1240	199	40	,	,	PUNCT
cana-1240	199	41	𝑡𝑖	𝑡𝑖	NOUN
cana-1240	199	42	,	,	PUNCT
cana-1240	199	43	𝑡𝑖	𝑡𝑖	NOUN
cana-1240	199	44	∗	∗	NOUN
cana-1240	199	45	,	,	PUNCT
cana-1240	199	46	𝑠𝑖	𝑠𝑖	NOUN
cana-1240	199	47	,	,	PUNCT
cana-1240	199	48	𝑠𝑖	𝑠𝑖	NOUN
cana-1240	199	49	∗	∗	NOUN
cana-1240	199	50	)	)	PUNCT
cana-1240	199	51	(	(	PUNCT
cana-1240	199	52	11	11	NUM
cana-1240	199	53	)	)	PUNCT
cana-1240	199	54	𝐿𝑅𝑃𝑁	𝐿𝑅𝑃𝑁	NOUN
cana-1240	199	55	=	=	SYM
cana-1240	199	56	1	1	NUM
cana-1240	199	57	𝑁𝑐𝑙𝑠2	𝑁𝑐𝑙𝑠2	NOUN
cana-1240	199	58	∑	∑	PUNCT
cana-1240	199	59	𝐿𝑐𝑙𝑠(𝑝𝑖	𝐿𝑐𝑙𝑠(𝑝𝑖	INTJ
cana-1240	199	60	,	,	PUNCT
cana-1240	199	61	𝑝𝑖	𝑝𝑖	VERB
cana-1240	199	62	∗	∗	NOUN
cana-1240	199	63	)	)	PUNCT
cana-1240	200	1	+	+	CCONJ
cana-1240	200	2	𝛾2	𝛾2	VERB
cana-1240	200	3	1	1	NUM
cana-1240	200	4	𝑁𝑟𝑒𝑔2	𝑁𝑟𝑒𝑔2	PROPN
cana-1240	200	5	∑	∑	NOUN
cana-1240	200	6	𝑝𝑖	𝑝𝑖	NOUN
cana-1240	200	7	∗𝐿𝑟𝑒𝑔(𝑡𝑖	∗𝐿𝑟𝑒𝑔(𝑡𝑖	PROPN
cana-1240	200	8	,	,	PUNCT
cana-1240	200	9	𝑡𝑖	𝑡𝑖	NOUN
cana-1240	200	10	∗	∗	NOUN
cana-1240	200	11	𝑖	𝑖	NOUN
cana-1240	200	12	)	)	PUNCT
cana-1240	200	13	𝑖	𝑖	X
cana-1240	201	1	+	+	NUM
cana-1240	201	2	𝜆2	𝜆2	NOUN
cana-1240	201	3	1	1	X
cana-1240	201	4	𝑁𝑚𝑎𝑠𝑘	𝑁𝑚𝑎𝑠𝑘	PROPN
cana-1240	201	5	∑	∑	PUNCT
cana-1240	201	6	𝐿𝑚𝑎𝑠𝑘(𝑖	𝐿𝑚𝑎𝑠𝑘(𝑖	PROPN
cana-1240	201	7	𝑠𝑖	𝑠𝑖	NOUN
cana-1240	201	8	,	,	PUNCT
cana-1240	201	9	𝑠𝑖	𝑠𝑖	PROPN
cana-1240	201	10	∗	∗	NOUN
cana-1240	201	11	)	)	PUNCT
cana-1240	201	12	(	(	PUNCT
cana-1240	201	13	12	12	NUM
cana-1240	201	14	)	)	PUNCT
cana-1240	201	15	the	the	DET
cana-1240	201	16	constant	constant	ADJ
cana-1240	201	17	𝑁∗	𝑁∗	NOUN
cana-1240	201	18	denotes	denote	NOUN
cana-1240	201	19	the	the	DET
cana-1240	201	20	quantity	quantity	NOUN
cana-1240	201	21	of	of	ADP
cana-1240	201	22	comparable	comparable	ADJ
cana-1240	201	23	anchor	anchor	NOUN
cana-1240	201	24	points	point	NOUN
cana-1240	201	25	or	or	CCONJ
cana-1240	201	26	rectangular	rectangular	ADJ
cana-1240	201	27	boxes	box	NOUN
cana-1240	201	28	in	in	ADP
cana-1240	201	29	equations	equation	NOUN
cana-1240	201	30	(	(	PUNCT
cana-1240	201	31	11	11	NUM
cana-1240	201	32	)	)	PUNCT
cana-1240	201	33	and	and	CCONJ
cana-1240	201	34	(	(	PUNCT
cana-1240	201	35	12	12	NUM
cana-1240	201	36	)	)	PUNCT
cana-1240	201	37	.	.	PUNCT
cana-1240	202	1	the	the	DET
cana-1240	202	2	balanced	balanced	ADJ
cana-1240	202	3	mask	mask	NOUN
cana-1240	202	4	loss	loss	NOUN
cana-1240	202	5	and	and	CCONJ
cana-1240	202	6	rectangular	rectangular	ADJ
cana-1240	202	7	box	box	PROPN
cana-1240	202	8	regression	regression	NOUN
cana-1240	202	9	loss	loss	NOUN
cana-1240	202	10	,	,	PUNCT
cana-1240	202	11	respectively	respectively	ADV
cana-1240	202	12	,	,	PUNCT
cana-1240	202	13	are	be	AUX
cana-1240	202	14	hyperparameters𝜆∗	hyperparameters𝜆∗	VERB
cana-1240	202	15	and𝛾∗.the	and𝛾∗.the	DET
cana-1240	202	16	following	follow	VERB
cana-1240	202	17	formulas	formula	NOUN
cana-1240	202	18	(	(	PUNCT
cana-1240	202	19	13	13	NUM
cana-1240	202	20	)	)	PUNCT
cana-1240	202	21	–	–	PUNCT
cana-1240	202	22	(	(	PUNCT
cana-1240	202	23	16	16	NUM
cana-1240	202	24	)	)	PUNCT
cana-1240	202	25	are	be	AUX
cana-1240	202	26	used	use	VERB
cana-1240	202	27	to	to	PART
cana-1240	202	28	derive	derive	VERB
cana-1240	202	29	the	the	DET
cana-1240	202	30	classification	classification	NOUN
cana-1240	202	31	loss	loss	NOUN
cana-1240	202	32	𝐿𝑐𝑙𝑠	𝐿𝑐𝑙𝑠	PROPN
cana-1240	202	33	,	,	PUNCT
cana-1240	202	34	regression	regression	VERB
cana-1240	202	35	loss	loss	NOUN
cana-1240	202	36	𝐿𝑟𝑒𝑔	𝐿𝑟𝑒𝑔	PROPN
cana-1240	202	37	,	,	PUNCT
cana-1240	202	38	and	and	CCONJ
cana-1240	202	39	mask	mask	VERB
cana-1240	202	40	loss	loss	NOUN
cana-1240	202	41	𝐿𝑚𝑎𝑠𝑘	𝐿𝑚𝑎𝑠𝑘	PROPN
cana-1240	202	42	:	:	PUNCT
cana-1240	202	43	𝐿𝑐𝑙𝑠(𝑝𝑖	𝐿𝑐𝑙𝑠(𝑝𝑖	ADV
cana-1240	202	44	,	,	PUNCT
cana-1240	202	45	𝑝𝑖	𝑝𝑖	NOUN
cana-1240	202	46	∗𝑝𝑖	∗𝑝𝑖	ADV
cana-1240	202	47	)	)	PUNCT
cana-1240	203	1	=	=	PUNCT
cana-1240	203	2	−𝑙𝑜𝑔𝑝𝑖	−𝑙𝑜𝑔𝑝𝑖	NOUN
cana-1240	203	3	∗𝑝𝑖	∗𝑝𝑖	PUNCT
cana-1240	203	4	(	(	PUNCT
cana-1240	203	5	13	13	NUM
cana-1240	203	6	)	)	PUNCT
cana-1240	203	7	𝐿𝑟𝑒𝑔(𝑡𝑖	𝐿𝑟𝑒𝑔(𝑡𝑖	NOUN
cana-1240	203	8	,	,	PUNCT
cana-1240	203	9	𝑡𝑖	𝑡𝑖	NOUN
cana-1240	203	10	∗	∗	NOUN
cana-1240	203	11	)	)	PUNCT
cana-1240	204	1	=	=	SYM
cana-1240	204	2	𝑠𝑚𝑜𝑜𝑡ℎ𝐿1	𝑠𝑚𝑜𝑜𝑡ℎ𝐿1	NOUN
cana-1240	204	3	(	(	PUNCT
cana-1240	204	4	𝑡𝑖	𝑡𝑖	NOUN
cana-1240	204	5	∗	∗	NOUN
cana-1240	204	6	−	−	NUM
cana-1240	204	7	𝑡𝑖	𝑡𝑖	NOUN
cana-1240	204	8	)	)	PUNCT
cana-1240	204	9	(	(	PUNCT
cana-1240	204	10	14	14	NUM
cana-1240	204	11	)	)	PUNCT
cana-1240	204	12	𝑠𝑚𝑜𝑜𝑡ℎ𝐿1	𝑠𝑚𝑜𝑜𝑡ℎ𝐿1	PROPN
cana-1240	204	13	(	(	PUNCT
cana-1240	204	14	𝑥	𝑥	NOUN
cana-1240	204	15	)	)	PUNCT
cana-1240	204	16	=	=	SYM
cana-1240	204	17	{	{	PUNCT
cana-1240	204	18	0.5	0.5	NUM
cana-1240	204	19	𝑥2	𝑥2	NOUN
cana-1240	204	20	𝑖𝑓	𝑖𝑓	ADP
cana-1240	204	21	|𝑥|	|𝑥|	NOUN
cana-1240	204	22	<	<	X
cana-1240	204	23	1	1	NUM
cana-1240	204	24	|𝑥|	|𝑥|	ADJ
cana-1240	204	25	−	−	PROPN
cana-1240	204	26	0.5	0.5	NUM
cana-1240	204	27	𝑜𝑡ℎ𝑒𝑟𝑤𝑖𝑠𝑒	𝑜𝑡ℎ𝑒𝑟𝑤𝑖𝑠𝑒	NOUN
cana-1240	204	28	(	(	PUNCT
cana-1240	204	29	15	15	NUM
cana-1240	204	30	)	)	PUNCT
cana-1240	204	31	𝐿𝑚𝑎𝑠𝑘(𝑠𝑖	𝐿𝑚𝑎𝑠𝑘(𝑠𝑖	NOUN
cana-1240	204	32	,	,	PUNCT
cana-1240	204	33	𝑠𝑖	𝑠𝑖	NOUN
cana-1240	204	34	∗	∗	NOUN
cana-1240	204	35	)	)	PUNCT
cana-1240	204	36	=	=	SYM
cana-1240	204	37	−(𝑠𝑖	−(𝑠𝑖	NOUN
cana-1240	204	38	∗	∗	NOUN
cana-1240	204	39	log(𝑠𝑖	log(𝑠𝑖	NOUN
cana-1240	204	40	)	)	PUNCT
cana-1240	205	1	+	+	CCONJ
cana-1240	205	2	(	(	PUNCT
cana-1240	205	3	1	1	NUM
cana-1240	205	4	−	−	NUM
cana-1240	205	5	𝑠𝑖	𝑠𝑖	NOUN
cana-1240	205	6	∗	∗	NOUN
cana-1240	205	7	)	)	PUNCT
cana-1240	205	8	log(1	log(1	NOUN
cana-1240	205	9	−	−	NOUN
cana-1240	205	10	𝑠𝑖	𝑠𝑖	NOUN
cana-1240	205	11	)	)	PUNCT
cana-1240	205	12	)	)	PUNCT
cana-1240	206	1	(	(	PUNCT
cana-1240	206	2	16	16	NUM
cana-1240	206	3	)	)	PUNCT
cana-1240	206	4	where	where	SCONJ
cana-1240	206	5	𝑝𝑖	𝑝𝑖	NOUN
cana-1240	206	6	∗	∗	NOUN
cana-1240	206	7	is	be	AUX
cana-1240	206	8	the	the	DET
cana-1240	206	9	ground	ground	NOUN
cana-1240	206	10	-	-	PUNCT
cana-1240	206	11	truth	truth	NOUN
cana-1240	206	12	label	label	NOUN
cana-1240	206	13	probability	probability	NOUN
cana-1240	206	14	and	and	CCONJ
cana-1240	206	15	𝑝𝑖	𝑝𝑖	NOUN
cana-1240	206	16	is	be	AUX
cana-1240	206	17	the	the	DET
cana-1240	206	18	classification	classification	NOUN
cana-1240	206	19	probability	probability	NOUN
cana-1240	206	20	of	of	ADP
cana-1240	206	21	anchor	anchor	NOUN
cana-1240	206	22	𝑖.	𝑖.	ADP
cana-1240	206	23	the	the	DET
cana-1240	206	24	variable	variable	NOUN
cana-1240	206	25	represents	represent	VERB
cana-1240	206	26	the	the	DET
cana-1240	206	27	difference	difference	NOUN
cana-1240	206	28	between	between	ADP
cana-1240	206	29	the	the	DET
cana-1240	206	30	ground	ground	NOUN
cana-1240	206	31	-	-	PUNCT
cana-1240	206	32	truth	truth	NOUN
cana-1240	206	33	label	label	NOUN
cana-1240	206	34	box	box	NOUN
cana-1240	206	35	and	and	CCONJ
cana-1240	206	36	the	the	DET
cana-1240	206	37	predicted	predict	VERB
cana-1240	206	38	rectangle	rectangle	NOUN
cana-1240	206	39	box	box	NOUN
cana-1240	206	40	using	use	VERB
cana-1240	206	41	four	four	NUM
cana-1240	206	42	parameter	parameter	NOUN
cana-1240	206	43	vectors	vector	NOUN
cana-1240	206	44	:	:	PUNCT
cana-1240	206	45	the	the	DET
cana-1240	206	46	height	height	NOUN
cana-1240	206	47	,	,	PUNCT
cana-1240	206	48	and	and	CCONJ
cana-1240	206	49	width	width	ADJ
cana-1240	206	50	vertical	vertical	ADJ
cana-1240	206	51	and	and	CCONJ
cana-1240	206	52	horizontal	horizontal	ADJ
cana-1240	206	53	coordinates	coordinate	NOUN
cana-1240	206	54	of	of	ADP
cana-1240	206	55	the	the	DET
cana-1240	206	56	points	point	NOUN
cana-1240	206	57	in	in	ADP
cana-1240	206	58	the	the	DET
cana-1240	206	59	rectangle.optimizing	rectangle.optimize	VERB
cana-1240	206	60	the	the	DET
cana-1240	206	61	values	value	NOUN
cana-1240	206	62	of	of	ADP
cana-1240	206	63	𝛾1	𝛾1	NOUN
cana-1240	206	64	,	,	PUNCT
cana-1240	206	65	𝛾2	𝛾2	VERB
cana-1240	206	66	and	and	CCONJ
cana-1240	206	67	𝜆2	𝜆2	NOUN
cana-1240	206	68	hyperparameters	hyperparameter	NOUN
cana-1240	206	69	will	will	AUX
cana-1240	206	70	maximize	maximize	VERB
cana-1240	206	71	performance	performance	NOUN
cana-1240	206	72	by	by	ADP
cana-1240	206	73	adjusting	adjust	VERB
cana-1240	206	74	the	the	DET
cana-1240	206	75	ratios	ratio	NOUN
cana-1240	206	76	of	of	ADP
cana-1240	206	77	the	the	DET
cana-1240	206	78	rectangular	rectangular	PROPN
cana-1240	206	79	box	box	PROPN
cana-1240	206	80	regression	regression	NOUN
cana-1240	206	81	loss	loss	NOUN
cana-1240	206	82	,	,	PUNCT
cana-1240	206	83	anchor	anchor	NOUN
cana-1240	206	84	classification	classification	NOUN
cana-1240	206	85	loss	loss	NOUN
cana-1240	206	86	,	,	PUNCT
cana-1240	206	87	and	and	CCONJ
cana-1240	206	88	mask	mask	NOUN
cana-1240	206	89	loss	loss	NOUN
cana-1240	206	90	,	,	PUNCT
cana-1240	206	91	correspondingly.by	correspondingly.by	X
cana-1240	206	92	adjusting	adjust	VERB
cana-1240	206	93	these	these	DET
cana-1240	206	94	parameters	parameter	NOUN
cana-1240	206	95	with	with	ADP
cana-1240	206	96	the	the	DET
cana-1240	206	97	help	help	NOUN
cana-1240	206	98	of	of	ADP
cana-1240	206	99	the	the	DET
cana-1240	206	100	hybrid	hybrid	ADJ
cana-1240	206	101	optimization	optimization	NOUN
cana-1240	206	102	algorithm	algorithm	NOUN
cana-1240	206	103	,	,	PUNCT
cana-1240	206	104	the	the	DET
cana-1240	206	105	mask	mask	NOUN
cana-1240	206	106	r	r	NOUN
cana-1240	206	107	-	-	PUNCT
cana-1240	206	108	cnn	cnn	PROPN
cana-1240	206	109	model	model	NOUN
cana-1240	206	110	is	be	AUX
cana-1240	206	111	customized	customize	VERB
cana-1240	206	112	to	to	ADP
cana-1240	206	113	the	the	DET
cana-1240	206	114	unique	unique	ADJ
cana-1240	206	115	properties	property	NOUN
cana-1240	206	116	of	of	ADP
cana-1240	206	117	the	the	DET
cana-1240	206	118	data	datum	NOUN
cana-1240	206	119	,	,	PUNCT
cana-1240	206	120	improving	improve	VERB
cana-1240	206	121	the	the	DET
cana-1240	206	122	accuracy	accuracy	NOUN
cana-1240	206	123	of	of	ADP
cana-1240	206	124	roi	roi	NOUN
cana-1240	206	125	segmentation	segmentation	NOUN
cana-1240	206	126	.	.	PUNCT
cana-1240	207	1	(	(	PUNCT
cana-1240	207	2	ii	ii	NOUN
cana-1240	207	3	)	)	PUNCT
cana-1240	207	4	chimpgaz	chimpgaz	NOUN
cana-1240	207	5	optimization	optimization	NOUN
cana-1240	207	6	algorithm	algorithm	NOUN
cana-1240	207	7	the	the	DET
cana-1240	207	8	chimpgaz	chimpgaz	NOUN
cana-1240	207	9	optimization	optimization	NOUN
cana-1240	207	10	algorithm	algorithm	NOUN
cana-1240	207	11	is	be	AUX
cana-1240	207	12	a	a	DET
cana-1240	207	13	hybrid	hybrid	ADJ
cana-1240	207	14	optimization	optimization	NOUN
cana-1240	207	15	technique	technique	NOUN
cana-1240	207	16	that	that	PRON
cana-1240	207	17	blends	blend	VERB
cana-1240	207	18	the	the	DET
cana-1240	207	19	distinctive	distinctive	ADJ
cana-1240	207	20	features	feature	NOUN
cana-1240	207	21	of	of	ADP
cana-1240	207	22	the	the	DET
cana-1240	207	23	chimp	chimp	PROPN
cana-1240	207	24	optimization	optimization	NOUN
cana-1240	207	25	algorithm	algorithm	PROPN
cana-1240	207	26	,	,	PUNCT
cana-1240	207	27	which	which	PRON
cana-1240	207	28	draws	draw	VERB
cana-1240	207	29	inspiration	inspiration	NOUN
cana-1240	207	30	from	from	ADP
cana-1240	207	31	the	the	DET
cana-1240	207	32	collective	collective	ADJ
cana-1240	207	33	intelligence	intelligence	NOUN
cana-1240	207	34	and	and	CCONJ
cana-1240	207	35	hunting	hunt	VERB
cana-1240	207	36	behaviour	behaviour	NOUN
cana-1240	207	37	of	of	ADP
cana-1240	207	38	chimpanzees	chimpanzee	NOUN
cana-1240	207	39	,	,	PUNCT
cana-1240	207	40	with	with	SCONJ
cana-1240	207	41	the	the	DET
cana-1240	207	42	search	search	NOUN
cana-1240	207	43	strategy	strategy	NOUN
cana-1240	207	44	of	of	ADP
cana-1240	207	45	the	the	DET
cana-1240	207	46	gazelle	gazelle	NOUN
cana-1240	207	47	algorithm	algorithm	NOUN
cana-1240	207	48	,	,	PUNCT
cana-1240	207	49	which	which	PRON
cana-1240	207	50	draws	draw	VERB
cana-1240	207	51	inspiration	inspiration	NOUN
cana-1240	207	52	from	from	ADP
cana-1240	207	53	the	the	DET
cana-1240	207	54	guided	guide	VERB
cana-1240	207	55	movement	movement	NOUN
cana-1240	207	56	and	and	CCONJ
cana-1240	207	57	foraging	forage	VERB
cana-1240	207	58	habits	habit	NOUN
cana-1240	207	59	of	of	ADP
cana-1240	207	60	gazelles.gazelle	gazelles.gazelle	NOUN
cana-1240	207	61	optimization	optimization	NOUN
cana-1240	207	62	brings	bring	VERB
cana-1240	207	63	speed	speed	NOUN
cana-1240	207	64	and	and	CCONJ
cana-1240	207	65	efficiency	efficiency	NOUN
cana-1240	207	66	to	to	ADP
cana-1240	207	67	the	the	DET
cana-1240	207	68	fine	fine	ADV
cana-1240	207	69	-	-	PUNCT
cana-1240	207	70	tuning	tune	VERB
cana-1240	207	71	process	process	NOUN
cana-1240	207	72	,	,	PUNCT
cana-1240	207	73	while	while	SCONJ
cana-1240	207	74	chimp	chimp	PROPN
cana-1240	207	75	optimization	optimization	NOUN
cana-1240	207	76	adds	add	VERB
cana-1240	207	77	flexibility	flexibility	NOUN
cana-1240	207	78	and	and	CCONJ
cana-1240	207	79	comprehensive	comprehensive	ADJ
cana-1240	207	80	exploration	exploration	NOUN
cana-1240	207	81	of	of	ADP
cana-1240	207	82	the	the	DET
cana-1240	207	83	hyper	hyper	ADJ
cana-1240	207	84	-	-	ADJ
cana-1240	207	85	parameter	parameter	NOUN
cana-1240	207	86	space	space	NOUN
cana-1240	207	87	work	work	NOUN
cana-1240	207	88	together	together	ADV
cana-1240	207	89	to	to	PART
cana-1240	207	90	find	find	VERB
cana-1240	207	91	the	the	DET
cana-1240	207	92	ideal	ideal	ADJ
cana-1240	207	93	configuration	configuration	NOUN
cana-1240	207	94	of	of	ADP
cana-1240	207	95	these	these	DET
cana-1240	207	96	hyper	hyper	NOUN
cana-1240	207	97	-	-	NOUN
cana-1240	207	98	parameters	parameter	NOUN
cana-1240	207	99	.	.	PUNCT
cana-1240	208	1	the	the	DET
cana-1240	208	2	combination	combination	NOUN
cana-1240	208	3	of	of	ADP
cana-1240	208	4	these	these	DET
cana-1240	208	5	optimization	optimization	NOUN
cana-1240	208	6	methods	method	NOUN
cana-1240	208	7	improves	improve	VERB
cana-1240	208	8	mask	mask	NOUN
cana-1240	208	9	r	r	NOUN
cana-1240	208	10	-	-	PUNCT
cana-1240	208	11	cnn	cnn	PROPN
cana-1240	208	12	's	's	PART
cana-1240	208	13	overall	overall	ADJ
cana-1240	208	14	performance	performance	NOUN
cana-1240	208	15	by	by	ADP
cana-1240	208	16	allowing	allow	VERB
cana-1240	208	17	the	the	DET
cana-1240	208	18	algorithm	algorithm	NOUN
cana-1240	208	19	to	to	PART
cana-1240	208	20	better	well	ADV
cana-1240	208	21	adapt	adapt	VERB
cana-1240	208	22	to	to	ADP
cana-1240	208	23	the	the	DET
cana-1240	208	24	complexity	complexity	NOUN
cana-1240	208	25	of	of	ADP
cana-1240	208	26	various	various	ADJ
cana-1240	208	27	datasets	dataset	NOUN
cana-1240	208	28	and	and	CCONJ
cana-1240	208	29	successfully	successfully	ADV
cana-1240	208	30	identify	identify	VERB
cana-1240	208	31	and	and	CCONJ
cana-1240	208	32	distinguish	distinguish	VERB
cana-1240	208	33	rois	rois	NOUN
cana-1240	208	34	in	in	ADP
cana-1240	208	35	a	a	DET
cana-1240	208	36	variety	variety	NOUN
cana-1240	208	37	of	of	ADP
cana-1240	208	38	images	image	NOUN
cana-1240	208	39	.	.	PUNCT
cana-1240	209	1	(	(	PUNCT
cana-1240	209	2	a	a	X
cana-1240	209	3	)	)	PUNCT
cana-1240	209	4	chimp	chimp	PROPN
cana-1240	209	5	intelligence	intelligence	NOUN
cana-1240	209	6	imitation	imitation	NOUN
cana-1240	209	7	phase	phase	NOUN
cana-1240	209	8	the	the	DET
cana-1240	209	9	sexual	sexual	ADJ
cana-1240	209	10	motivation	motivation	NOUN
cana-1240	209	11	and	and	CCONJ
cana-1240	209	12	individual	individual	ADJ
cana-1240	209	13	intelligence	intelligence	NOUN
cana-1240	209	14	of	of	ADP
cana-1240	209	15	chimpanzees	chimpanzee	NOUN
cana-1240	209	16	in	in	ADP
cana-1240	209	17	their	their	PRON
cana-1240	209	18	collective	collective	ADJ
cana-1240	209	19	hunts	hunt	NOUN
cana-1240	209	20	are	be	AUX
cana-1240	209	21	the	the	DET
cana-1240	209	22	inspiration	inspiration	NOUN
cana-1240	209	23	for	for	ADP
cana-1240	209	24	a	a	DET
cana-1240	209	25	new	new	ADJ
cana-1240	209	26	algorithm	algorithm	NOUN
cana-1240	209	27	that	that	PRON
cana-1240	209	28	draws	draw	VERB
cana-1240	209	29	inspiration	inspiration	NOUN
cana-1240	209	30	from	from	ADP
cana-1240	209	31	nature	nature	NOUN
cana-1240	209	32	.	.	PUNCT
cana-1240	210	1	this	this	DET
cana-1240	210	2	algorithm	algorithm	NOUN
cana-1240	210	3	is	be	AUX
cana-1240	210	4	known	know	VERB
cana-1240	210	5	as	as	ADP
cana-1240	210	6	the	the	DET
cana-1240	210	7	chimp	chimp	PROPN
cana-1240	210	8	optimisation	optimisation	NOUN
cana-1240	210	9	algorithm	algorithm	NOUN
cana-1240	210	10	(	(	PUNCT
cana-1240	210	11	choa	choa	NOUN
cana-1240	210	12	)	)	PUNCT
cana-1240	210	13	method	method	NOUN
cana-1240	210	14	.	.	PUNCT
cana-1240	211	1	comparable	comparable	ADJ
cana-1240	211	2	social	social	ADJ
cana-1240	211	3	predators	predator	NOUN
cana-1240	211	4	can	can	AUX
cana-1240	211	5	not	not	PART
cana-1240	211	6	compare	compare	VERB
cana-1240	211	7	to	to	ADP
cana-1240	211	8	it	it	PRON
cana-1240	211	9	.	.	PUNCT
cana-1240	212	1	to	to	PART
cana-1240	212	2	simulate	simulate	VERB
cana-1240	212	3	several	several	ADJ
cana-1240	212	4	types	type	NOUN
cana-1240	212	5	of	of	ADP
cana-1240	212	6	intelligence	intelligence	NOUN
cana-1240	212	7	,	,	PUNCT
cana-1240	212	8	including	include	VERB
cana-1240	212	9	barrier	barrier	NOUN
cana-1240	212	10	,	,	PUNCT
cana-1240	212	11	attacker	attacker	NOUN
cana-1240	212	12	,	,	PUNCT
cana-1240	212	13	driver	driver	NOUN
cana-1240	212	14	and	and	CCONJ
cana-1240	212	15	chaseramong	chaseramong	NOUN
cana-1240	212	16	others	other	NOUN
cana-1240	212	17	,	,	PUNCT
cana-1240	212	18	this	this	DET
cana-1240	212	19	communications	communication	NOUN
cana-1240	212	20	on	on	ADP
cana-1240	212	21	applied	apply	VERB
cana-1240	212	22	nonlinear	nonlinear	ADJ
cana-1240	212	23	analysis	analysis	NOUN
cana-1240	212	24	issn	issn	NOUN
cana-1240	212	25	:	:	PUNCT
cana-1240	212	26	1074	1074	NUM
cana-1240	212	27	-	-	PUNCT
cana-1240	212	28	133x	133x	NUM
cana-1240	212	29	vol	vol	NOUN
cana-1240	212	30	31	31	NUM
cana-1240	212	31	no	no	NOUN
cana-1240	212	32	.	.	PUNCT
cana-1240	213	1	6s	6s	NUM
cana-1240	213	2	(	(	PUNCT
cana-1240	213	3	2024	2024	NUM
cana-1240	213	4	)	)	PUNCT
cana-1240	213	5	508	508	NUM
cana-1240	213	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1240	213	7	methodology	methodology	NOUN
cana-1240	213	8	comprises	comprise	VERB
cana-1240	213	9	four	four	NUM
cana-1240	213	10	distinct	distinct	ADJ
cana-1240	213	11	phases	phase	NOUN
cana-1240	213	12	.	.	PUNCT
cana-1240	214	1	the	the	DET
cana-1240	214	2	following	follow	VERB
cana-1240	214	3	mathematical	mathematical	ADJ
cana-1240	214	4	equations	equation	NOUN
cana-1240	214	5	(	(	PUNCT
cana-1240	214	6	eqs	eqs	X
cana-1240	214	7	.	.	PUNCT
cana-1240	214	8	(	(	PUNCT
cana-1240	214	9	(	(	PUNCT
cana-1240	214	10	17)-(18	17)-(18	NUM
cana-1240	214	11	)	)	PUNCT
cana-1240	214	12	)	)	PUNCT
cana-1240	214	13	illustrate	illustrate	VERB
cana-1240	214	14	the	the	DET
cana-1240	214	15	driving	driving	NOUN
cana-1240	214	16	and	and	CCONJ
cana-1240	214	17	chasing	chasing	NOUN
cana-1240	214	18	of	of	ADP
cana-1240	214	19	the	the	DET
cana-1240	214	20	target	target	NOUN
cana-1240	214	21	or	or	CCONJ
cana-1240	214	22	prey	prey	NOUN
cana-1240	214	23	:	:	PUNCT
cana-1240	214	24	𝐷	𝐷	NOUN
cana-1240	214	25	=	=	PUNCT
cana-1240	214	26	|𝑐.	|𝑐.	NOUN
cana-1240	214	27	𝑦𝑝𝑟𝑒𝑦(𝑘	𝑦𝑝𝑟𝑒𝑦(𝑘	NOUN
cana-1240	214	28	)	)	PUNCT
cana-1240	214	29	−	−	PROPN
cana-1240	214	30	𝑚.	𝑚.	ADJ
cana-1240	214	31	𝑦𝑐ℎ𝑖𝑚𝑝(𝑘)|	𝑦𝑐ℎ𝑖𝑚𝑝(𝑘)|	PROPN
cana-1240	214	32	(	(	PUNCT
cana-1240	214	33	17	17	NUM
cana-1240	214	34	)	)	PUNCT
cana-1240	214	35	𝑦𝑐ℎ𝑖𝑚𝑝(𝑘	𝑦𝑐ℎ𝑖𝑚𝑝(𝑘	NOUN
cana-1240	214	36	+	+	NOUN
cana-1240	214	37	1	1	NUM
cana-1240	214	38	)	)	PUNCT
cana-1240	214	39	=	=	SYM
cana-1240	214	40	𝑦𝑝𝑟𝑒𝑦(𝑘	𝑦𝑝𝑟𝑒𝑦(𝑘	NOUN
cana-1240	214	41	)	)	PUNCT
cana-1240	215	1	−	−	PROPN
cana-1240	215	2	𝑎.	𝑎.	PROPN
cana-1240	215	3	𝑑	𝑑	PROPN
cana-1240	215	4	∗	∗	NOUN
cana-1240	215	5	𝜇	𝜇	ADP
cana-1240	215	6	∗	∗	NOUN
cana-1240	215	7	𝑅𝑙	𝑅𝑙	PROPN
cana-1240	215	8	⃗⃗	⃗⃗	NOUN
cana-1240	215	9	⃗	⃗	PROPN
cana-1240	215	10	(	(	PUNCT
cana-1240	215	11	18	18	NUM
cana-1240	215	12	)	)	PUNCT
cana-1240	215	13	where	where	SCONJ
cana-1240	215	14	𝑐	𝑐	NOUN
cana-1240	215	15	,	,	PUNCT
cana-1240	215	16	𝑚	𝑚	NOUN
cana-1240	215	17	,	,	PUNCT
cana-1240	215	18	and	and	CCONJ
cana-1240	215	19	𝑎	𝑎	NOUN
cana-1240	215	20	are	be	AUX
cana-1240	215	21	the	the	DET
cana-1240	215	22	coefficient	coefficient	NOUN
cana-1240	215	23	vectors	vector	NOUN
cana-1240	215	24	.	.	PUNCT
cana-1240	216	1	eqs	eqs	X
cana-1240	216	2	(	(	PUNCT
cana-1240	216	3	19	19	NUM
cana-1240	216	4	-	-	SYM
cana-1240	216	5	21	21	NUM
cana-1240	216	6	)	)	PUNCT
cana-1240	216	7	calculate	calculate	NOUN
cana-1240	216	8	the	the	DET
cana-1240	216	9	coefficients	coefficient	NOUN
cana-1240	216	10	𝑐,𝑚	𝑐,𝑚	NOUN
cana-1240	216	11	,	,	PUNCT
cana-1240	216	12	and	and	CCONJ
cana-1240	216	13	𝑎.	𝑎.	X
cana-1240	216	14	𝑎	𝑎	X
cana-1240	216	15	=	=	SYM
cana-1240	216	16	2	2	X
cana-1240	216	17	.	.	PUNCT
cana-1240	216	18	ℎ.	ℎ.	ADJ
cana-1240	216	19	𝑟1	𝑟1	NOUN
cana-1240	217	1	−	−	PROPN
cana-1240	217	2	ℎ	ℎ	PROPN
cana-1240	217	3	(	(	PUNCT
cana-1240	217	4	19	19	NUM
cana-1240	217	5	)	)	PUNCT
cana-1240	217	6	𝑐	𝑐	NOUN
cana-1240	217	7	=	=	SYM
cana-1240	217	8	2	2	NUM
cana-1240	217	9	.	.	X
cana-1240	217	10	𝑟2	𝑟2	NOUN
cana-1240	217	11	(	(	PUNCT
cana-1240	217	12	20	20	NUM
cana-1240	217	13	)	)	PUNCT
cana-1240	217	14	𝑚	𝑚	NOUN
cana-1240	217	15	=	=	PUNCT
cana-1240	217	16	𝑐ℎ𝑎𝑜𝑡𝑖𝑐𝑣𝑎𝑙𝑢𝑒	𝑐ℎ𝑎𝑜𝑡𝑖𝑐𝑣𝑎𝑙𝑢𝑒	NOUN
cana-1240	217	17	(	(	PUNCT
cana-1240	217	18	21	21	NUM
cana-1240	217	19	)	)	PUNCT
cana-1240	217	20	where	where	SCONJ
cana-1240	217	21	𝑦𝑐ℎ𝑖𝑚𝑝	𝑦𝑐ℎ𝑖𝑚𝑝	NOUN
cana-1240	217	22	is	be	AUX
cana-1240	217	23	the	the	DET
cana-1240	217	24	current	current	ADJ
cana-1240	217	25	chimp	chimp	NOUN
cana-1240	217	26	position	position	NOUN
cana-1240	217	27	vector	vector	NOUN
cana-1240	217	28	and	and	CCONJ
cana-1240	217	29	𝑦𝑝𝑟𝑒𝑦	𝑦𝑝𝑟𝑒𝑦	PROPN
cana-1240	217	30	is	be	AUX
cana-1240	217	31	the	the	DET
cana-1240	217	32	prey	prey	PROPN
cana-1240	217	33	position	position	NOUN
cana-1240	217	34	vector	vector	NOUN
cana-1240	217	35	;	;	PUNCT
cana-1240	217	36	as	as	ADP
cana-1240	217	37	the	the	DET
cana-1240	217	38	number	number	NOUN
cana-1240	217	39	of	of	ADP
cana-1240	217	40	iterations	iteration	NOUN
cana-1240	217	41	increases	increase	NOUN
cana-1240	217	42	,	,	PUNCT
cana-1240	217	43	the	the	DET
cana-1240	217	44	convergence	convergence	NOUN
cana-1240	217	45	factor	factor	NOUN
cana-1240	217	46	,	,	PUNCT
cana-1240	217	47	ℎ	ℎ	PROPN
cana-1240	217	48	,	,	PUNCT
cana-1240	217	49	declines	decline	VERB
cana-1240	217	50	nonlinearly	nonlinearly	ADV
cana-1240	217	51	from	from	ADP
cana-1240	217	52	2.5	2.5	NUM
cana-1240	217	53	to	to	ADP
cana-1240	217	54	0	0	NUM
cana-1240	217	55	(	(	PUNCT
cana-1240	217	56	including	include	VERB
cana-1240	217	57	the	the	DET
cana-1240	217	58	exploration	exploration	NOUN
cana-1240	217	59	and	and	CCONJ
cana-1240	217	60	exploitation	exploitation	NOUN
cana-1240	217	61	phases	phase	NOUN
cana-1240	217	62	)	)	PUNCT
cana-1240	217	63	.	.	PUNCT
cana-1240	218	1	the	the	DET
cana-1240	218	2	distance	distance	NOUN
cana-1240	218	3	between	between	ADP
cana-1240	218	4	the	the	DET
cana-1240	218	5	chimp	chimp	PROPN
cana-1240	218	6	and	and	CCONJ
cana-1240	218	7	the	the	DET
cana-1240	218	8	prey	prey	NOUN
cana-1240	218	9	is	be	AUX
cana-1240	218	10	indicated	indicate	VERB
cana-1240	218	11	by	by	ADP
cana-1240	218	12	the	the	DET
cana-1240	218	13	random	random	ADJ
cana-1240	218	14	vector	vector	NOUN
cana-1240	218	15	𝑎	𝑎	NOUN
cana-1240	218	16	,	,	PUNCT
cana-1240	218	17	whose	whose	DET
cana-1240	218	18	value	value	NOUN
cana-1240	218	19	is	be	AUX
cana-1240	218	20	a	a	DET
cana-1240	218	21	random	random	ADJ
cana-1240	218	22	number	number	NOUN
cana-1240	218	23	between	between	ADP
cana-1240	218	24	[	[	X
cana-1240	218	25	−2	−2	NOUN
cana-1240	218	26	ℎ	ℎ	NOUN
cana-1240	218	27	,	,	PUNCT
cana-1240	218	28	2	2	NUM
cana-1240	218	29	ℎ	ℎ	NOUN
cana-1240	218	30	]	]	PUNCT
cana-1240	218	31	.	.	PUNCT
cana-1240	219	1	the	the	DET
cana-1240	219	2	distance	distance	NOUN
cana-1240	219	3	between	between	ADP
cana-1240	219	4	the	the	DET
cana-1240	219	5	chimp	chimp	PROPN
cana-1240	219	6	and	and	CCONJ
cana-1240	219	7	the	the	DET
cana-1240	219	8	prey	prey	NOUN
cana-1240	219	9	is	be	AUX
cana-1240	219	10	denoted	denote	VERB
cana-1240	219	11	by	by	ADP
cana-1240	219	12	𝑑	𝑑	X
cana-1240	219	13	,	,	PUNCT
cana-1240	219	14	while	while	SCONJ
cana-1240	219	15	the	the	DET
cana-1240	219	16	number	number	NOUN
cana-1240	219	17	of	of	ADP
cana-1240	219	18	iterations	iteration	NOUN
cana-1240	219	19	is	be	AUX
cana-1240	219	20	represented	represent	VERB
cana-1240	219	21	by	by	ADP
cana-1240	219	22	𝑘.	𝑘.	ADJ
cana-1240	219	23	random	random	ADJ
cana-1240	219	24	vectors	vector	NOUN
cana-1240	219	25	between	between	ADP
cana-1240	219	26	[	[	X
cana-1240	219	27	0,1	0,1	NUM
cana-1240	219	28	]	]	PUNCT
cana-1240	219	29	are	be	AUX
cana-1240	219	30	represented	represent	VERB
cana-1240	219	31	by	by	ADP
cana-1240	219	32	𝑟1	𝑟1	NOUN
cana-1240	219	33	and	and	CCONJ
cana-1240	219	34	𝑟2.𝑐	𝑟2.𝑐	NOUN
cana-1240	219	35	is	be	AUX
cana-1240	219	36	a	a	DET
cana-1240	219	37	random	random	ADJ
cana-1240	219	38	vector	vector	NOUN
cana-1240	219	39	in	in	ADP
cana-1240	219	40	the	the	DET
cana-1240	219	41	range	range	NOUN
cana-1240	219	42	of	of	ADP
cana-1240	219	43	[	[	X
cana-1240	219	44	0	0	NUM
cana-1240	219	45	,	,	PUNCT
cana-1240	219	46	2	2	NUM
cana-1240	219	47	]	]	PUNCT
cana-1240	219	48	that	that	PRON
cana-1240	219	49	controls	control	VERB
cana-1240	219	50	the	the	DET
cana-1240	219	51	chimp	chimp	NOUN
cana-1240	219	52	's	's	PART
cana-1240	219	53	driving	driving	NOUN
cana-1240	219	54	and	and	CCONJ
cana-1240	219	55	chasing	chasing	NOUN
cana-1240	219	56	of	of	ADP
cana-1240	219	57	the	the	DET
cana-1240	219	58	prey	prey	NOUN
cana-1240	219	59	;	;	PUNCT
cana-1240	219	60	when	when	SCONJ
cana-1240	219	61	|𝑎|	|𝑎|	ADV
cana-1240	219	62	<	<	X
cana-1240	219	63	1	1	NUM
cana-1240	219	64	,	,	PUNCT
cana-1240	219	65	the	the	DET
cana-1240	219	66	chimp	chimp	NOUN
cana-1240	219	67	's	's	PART
cana-1240	219	68	position	position	NOUN
cana-1240	219	69	tends	tend	VERB
cana-1240	219	70	to	to	PART
cana-1240	219	71	approach	approach	VERB
cana-1240	219	72	that	that	PRON
cana-1240	219	73	of	of	ADP
cana-1240	219	74	the	the	DET
cana-1240	219	75	prey	prey	NOUN
cana-1240	219	76	𝑦𝑝𝑟𝑒𝑦	𝑦𝑝𝑟𝑒𝑦	NOUN
cana-1240	219	77	;	;	PUNCT
cana-1240	219	78	when	when	SCONJ
cana-1240	219	79	|𝑎|	|𝑎|	ADV
cana-1240	219	80	>	>	X
cana-1240	219	81	1	1	NUM
cana-1240	219	82	,	,	PUNCT
cana-1240	219	83	the	the	DET
cana-1240	219	84	chimp	chimp	NOUN
cana-1240	219	85	is	be	AUX
cana-1240	219	86	compelled	compel	VERB
cana-1240	219	87	to	to	PART
cana-1240	219	88	move	move	VERB
cana-1240	219	89	away	away	ADV
cana-1240	219	90	from	from	ADP
cana-1240	219	91	the	the	DET
cana-1240	219	92	prey	prey	NOUN
cana-1240	219	93	's	's	PART
cana-1240	219	94	location	location	NOUN
cana-1240	219	95	and	and	CCONJ
cana-1240	219	96	conduct	conduct	VERB
cana-1240	219	97	a	a	DET
cana-1240	219	98	broader	broad	ADJ
cana-1240	219	99	search	search	NOUN
cana-1240	219	100	for	for	ADP
cana-1240	219	101	the	the	DET
cana-1240	219	102	prey	prey	NOUN
cana-1240	219	103	.	.	PUNCT
cana-1240	220	1	the	the	DET
cana-1240	220	2	chimp	chimp	PROPN
cana-1240	220	3	position	position	NOUN
cana-1240	220	4	is	be	AUX
cana-1240	220	5	affected	affect	VERB
cana-1240	220	6	by	by	ADP
cana-1240	220	7	the	the	DET
cana-1240	220	8	prey	prey	NOUN
cana-1240	220	9	position	position	VERB
cana-1240	220	10	less	less	ADV
cana-1240	220	11	when	when	SCONJ
cana-1240	220	12	c	c	NOUN
cana-1240	220	13	is	be	AUX
cana-1240	220	14	less	less	ADJ
cana-1240	220	15	than	than	ADP
cana-1240	220	16	1	1	NUM
cana-1240	220	17	,	,	PUNCT
cana-1240	220	18	and	and	CCONJ
cana-1240	220	19	more	more	ADJ
cana-1240	220	20	otherwise.the	otherwise.the	DET
cana-1240	220	21	effect	effect	NOUN
cana-1240	220	22	of	of	ADP
cana-1240	220	23	individual	individual	ADJ
cana-1240	220	24	motivation	motivation	NOUN
cana-1240	220	25	on	on	ADP
cana-1240	220	26	the	the	DET
cana-1240	220	27	chimp	chimp	NOUN
cana-1240	220	28	's	's	PART
cana-1240	220	29	location	location	NOUN
cana-1240	220	30	during	during	ADP
cana-1240	220	31	the	the	DET
cana-1240	220	32	hunting	hunting	NOUN
cana-1240	220	33	process	process	NOUN
cana-1240	220	34	is	be	AUX
cana-1240	220	35	represented	represent	VERB
cana-1240	220	36	by	by	ADP
cana-1240	220	37	the	the	DET
cana-1240	220	38	chaotic	chaotic	ADJ
cana-1240	220	39	vector	vector	NOUN
cana-1240	220	40	𝑚	𝑚	NOUN
cana-1240	220	41	,	,	PUNCT
cana-1240	220	42	which	which	PRON
cana-1240	220	43	is	be	AUX
cana-1240	220	44	computed	compute	VERB
cana-1240	220	45	from	from	ADP
cana-1240	220	46	different	different	ADJ
cana-1240	220	47	chaotic	chaotic	ADJ
cana-1240	220	48	mappings	mapping	NOUN
cana-1240	220	49	.	.	PUNCT
cana-1240	221	1	the	the	DET
cana-1240	221	2	inclusion	inclusion	NOUN
cana-1240	221	3	of	of	ADP
cana-1240	221	4	the	the	DET
cana-1240	221	5	parameter	parameter	NOUN
cana-1240	221	6	'	'	PUNCT
cana-1240	221	7	𝜇	𝜇	NOUN
cana-1240	221	8	'	'	PUNCT
cana-1240	221	9	inspired	inspire	VERB
cana-1240	221	10	from	from	ADP
cana-1240	221	11	the	the	DET
cana-1240	221	12	gazelle	gazelle	NOUN
cana-1240	221	13	signifies	signify	VERB
cana-1240	221	14	abrupt	abrupt	ADJ
cana-1240	221	15	directional	directional	ADJ
cana-1240	221	16	changes	change	NOUN
cana-1240	221	17	in	in	ADP
cana-1240	221	18	the	the	DET
cana-1240	221	19	chimp	chimp	NOUN
cana-1240	221	20	's	's	PART
cana-1240	221	21	movement	movement	NOUN
cana-1240	221	22	during	during	ADP
cana-1240	221	23	each	each	DET
cana-1240	221	24	iteration	iteration	NOUN
cana-1240	221	25	.	.	PUNCT
cana-1240	222	1	this	this	DET
cana-1240	222	2	alternating	alternate	VERB
cana-1240	222	3	direction	direction	NOUN
cana-1240	222	4	movement	movement	NOUN
cana-1240	222	5	,	,	PUNCT
cana-1240	222	6	which	which	PRON
cana-1240	222	7	is	be	AUX
cana-1240	222	8	seen	see	VERB
cana-1240	222	9	in	in	ADP
cana-1240	222	10	odd	odd	ADJ
cana-1240	222	11	and	and	CCONJ
cana-1240	222	12	even	even	ADV
cana-1240	222	13	iterations	iteration	NOUN
cana-1240	222	14	,	,	PUNCT
cana-1240	222	15	is	be	AUX
cana-1240	222	16	similar	similar	ADJ
cana-1240	222	17	to	to	ADP
cana-1240	222	18	lévy	lévy	ADJ
cana-1240	222	19	flight	flight	NOUN
cana-1240	222	20	behaviour	behaviour	NOUN
cana-1240	222	21	,	,	PUNCT
cana-1240	222	22	which	which	PRON
cana-1240	222	23	helps	help	VERB
cana-1240	222	24	the	the	DET
cana-1240	222	25	chimp	chimp	PROPN
cana-1240	222	26	locate	locate	VERB
cana-1240	222	27	the	the	DET
cana-1240	222	28	prey	prey	NOUN
cana-1240	222	29	quickly	quickly	ADV
cana-1240	222	30	and	and	CCONJ
cana-1240	222	31	exploratorily	exploratorily	ADV
cana-1240	222	32	.	.	PUNCT
cana-1240	223	1	the	the	DET
cana-1240	223	2	chimp	chimp	PROPN
cana-1240	223	3	's	's	PART
cana-1240	223	4	movement	movement	NOUN
cana-1240	223	5	is	be	AUX
cana-1240	223	6	further	far	ADV
cana-1240	223	7	given	give	VERB
cana-1240	223	8	stochasticity	stochasticity	NOUN
cana-1240	223	9	by	by	ADP
cana-1240	223	10	the	the	DET
cana-1240	223	11	vector	vector	NOUN
cana-1240	223	12	𝑅𝑙	𝑅𝑙	PROPN
cana-1240	223	13	⃗⃗	⃗⃗	NOUN
cana-1240	223	14	⃗	⃗	PROPN
cana-1240	223	15	derived	derive	VERB
cana-1240	223	16	from	from	ADP
cana-1240	223	17	levy	levy	NOUN
cana-1240	223	18	distributions	distribution	NOUN
cana-1240	223	19	from	from	ADP
cana-1240	223	20	the	the	DET
cana-1240	223	21	gazelle	gazelle	NOUN
cana-1240	223	22	behaviour	behaviour	NOUN
cana-1240	223	23	,	,	PUNCT
cana-1240	223	24	which	which	PRON
cana-1240	223	25	broadens	broaden	VERB
cana-1240	223	26	its	its	PRON
cana-1240	223	27	search	search	NOUN
cana-1240	223	28	strategy	strategy	NOUN
cana-1240	223	29	.	.	PUNCT
cana-1240	224	1	(	(	PUNCT
cana-1240	224	2	b	b	X
cana-1240	224	3	)	)	PUNCT
cana-1240	224	4	chimpanzee	chimpanzee	NOUN
cana-1240	224	5	predatory	predatory	ADJ
cana-1240	224	6	behaviour	behaviour	NOUN
cana-1240	224	7	(	(	PUNCT
cana-1240	224	8	exploitation	exploitation	NOUN
cana-1240	224	9	phase	phase	NOUN
cana-1240	224	10	)	)	PUNCT
cana-1240	224	11	in	in	ADP
cana-1240	224	12	this	this	DET
cana-1240	224	13	step	step	NOUN
cana-1240	224	14	,	,	PUNCT
cana-1240	224	15	the	the	DET
cana-1240	224	16	chimpanzees	chimpanzee	NOUN
cana-1240	224	17	'	'	PART
cana-1240	224	18	behaviour	behaviour	NOUN
cana-1240	224	19	has	have	AUX
cana-1240	224	20	been	be	AUX
cana-1240	224	21	mathematically	mathematically	ADV
cana-1240	224	22	implemented	implement	VERB
cana-1240	224	23	.	.	PUNCT
cana-1240	225	1	since	since	SCONJ
cana-1240	225	2	they	they	PRON
cana-1240	225	3	are	be	AUX
cana-1240	225	4	more	more	ADV
cana-1240	225	5	knowledgeable	knowledgeable	ADJ
cana-1240	225	6	about	about	ADP
cana-1240	225	7	the	the	DET
cana-1240	225	8	target	target	NOUN
cana-1240	225	9	's	's	PART
cana-1240	225	10	location	location	NOUN
cana-1240	225	11	,	,	PUNCT
cana-1240	225	12	it	it	PRON
cana-1240	225	13	is	be	AUX
cana-1240	225	14	assumed	assume	VERB
cana-1240	225	15	that	that	SCONJ
cana-1240	225	16	the	the	DET
cana-1240	225	17	barrier	barrier	NOUN
cana-1240	225	18	,	,	PUNCT
cana-1240	225	19	attacker	attacker	NOUN
cana-1240	225	20	,	,	PUNCT
cana-1240	225	21	chaser	chaser	NOUN
cana-1240	225	22	and	and	CCONJ
cana-1240	225	23	driver	driver	NOUN
cana-1240	225	24	can	can	AUX
cana-1240	225	25	provide	provide	VERB
cana-1240	225	26	the	the	DET
cana-1240	225	27	first	first	ADJ
cana-1240	225	28	response	response	NOUN
cana-1240	225	29	in	in	ADP
cana-1240	225	30	this	this	DET
cana-1240	225	31	case	case	NOUN
cana-1240	225	32	.	.	PUNCT
cana-1240	226	1	the	the	DET
cana-1240	226	2	remaining	remain	VERB
cana-1240	226	3	chimpanzees	chimpanzee	NOUN
cana-1240	226	4	are	be	AUX
cana-1240	226	5	made	make	VERB
cana-1240	226	6	to	to	PART
cana-1240	226	7	update	update	VERB
cana-1240	226	8	their	their	PRON
cana-1240	226	9	own	own	ADJ
cana-1240	226	10	positions	position	NOUN
cana-1240	226	11	in	in	ADP
cana-1240	226	12	accordance	accordance	NOUN
cana-1240	226	13	with	with	ADP
cana-1240	226	14	the	the	DET
cana-1240	226	15	best	good	ADJ
cana-1240	226	16	chimpanzee	chimpanzee	NOUN
cana-1240	226	17	locations	location	NOUN
cana-1240	226	18	in	in	ADP
cana-1240	226	19	the	the	DET
cana-1240	226	20	following	follow	VERB
cana-1240	226	21	iteration	iteration	NOUN
cana-1240	226	22	when	when	SCONJ
cana-1240	226	23	four	four	NUM
cana-1240	226	24	additional	additional	ADJ
cana-1240	226	25	optima	optima	NOUN
cana-1240	226	26	solutions	solution	NOUN
cana-1240	226	27	have	have	AUX
cana-1240	226	28	been	be	AUX
cana-1240	226	29	acquired	acquire	VERB
cana-1240	226	30	and	and	CCONJ
cana-1240	226	31	are	be	AUX
cana-1240	226	32	kept	keep	VERB
cana-1240	226	33	.	.	PUNCT
cana-1240	227	1	these	these	DET
cana-1240	227	2	mathematical	mathematical	ADJ
cana-1240	227	3	equations	equation	NOUN
cana-1240	227	4	serve	serve	VERB
cana-1240	227	5	as	as	ADP
cana-1240	227	6	examples	example	NOUN
cana-1240	227	7	of	of	ADP
cana-1240	227	8	this	this	DET
cana-1240	227	9	procedure	procedure	NOUN
cana-1240	227	10	.	.	PUNCT
cana-1240	228	1	(	(	PUNCT
cana-1240	228	2	22	22	NUM
cana-1240	228	3	)	)	PUNCT
cana-1240	228	4	–	–	PUNCT
cana-1240	228	5	(	(	PUNCT
cana-1240	228	6	25	25	NUM
cana-1240	228	7	):	):	PUNCT
cana-1240	228	8	𝑑𝑎𝑡𝑡𝑎𝑐𝑘𝑒𝑟	𝑑𝑎𝑡𝑡𝑎𝑐𝑘𝑒𝑟	NOUN
cana-1240	228	9	=	=	NOUN
cana-1240	228	10	|𝑐1𝑦𝑎𝑡𝑡𝑎𝑐𝑘𝑒𝑟	|𝑐1𝑦𝑎𝑡𝑡𝑎𝑐𝑘𝑒𝑟	PROPN
cana-1240	228	11	−	−	PROPN
cana-1240	228	12	𝑚1𝑧|	𝑚1𝑧|	X
cana-1240	228	13	(	(	PUNCT
cana-1240	228	14	22	22	NUM
cana-1240	228	15	)	)	PUNCT
cana-1240	228	16	𝑑𝑏𝑎𝑟𝑖𝑒𝑟	𝑑𝑏𝑎𝑟𝑖𝑒𝑟	NOUN
cana-1240	228	17	=	=	NOUN
cana-1240	228	18	|𝑐2𝑦𝑏𝑎𝑟𝑟𝑖𝑒𝑟	|𝑐2𝑦𝑏𝑎𝑟𝑟𝑖𝑒𝑟	NOUN
cana-1240	228	19	−	−	PROPN
cana-1240	228	20	𝑚2𝑧|	𝑚2𝑧|	X
cana-1240	228	21	(	(	PUNCT
cana-1240	228	22	23	23	NUM
cana-1240	228	23	)	)	PUNCT
cana-1240	228	24	𝑑𝑐ℎ𝑎𝑠𝑒𝑟	𝑑𝑐ℎ𝑎𝑠𝑒𝑟	NOUN
cana-1240	228	25	=	=	SYM
cana-1240	228	26	|𝑐3𝑦𝑐ℎ𝑎𝑠𝑒𝑟	|𝑐3𝑦𝑐ℎ𝑎𝑠𝑒𝑟	NOUN
cana-1240	228	27	−	−	PROPN
cana-1240	228	28	𝑚3𝑧|	𝑚3𝑧|	X
cana-1240	228	29	(	(	PUNCT
cana-1240	228	30	24	24	NUM
cana-1240	228	31	)	)	PUNCT
cana-1240	228	32	𝑑𝑑𝑟𝑖𝑣𝑒𝑟	𝑑𝑑𝑟𝑖𝑣𝑒𝑟	NOUN
cana-1240	228	33	=	=	SYM
cana-1240	228	34	|𝑐4𝑦𝑑𝑟𝑖𝑣𝑒𝑟	|𝑐4𝑦𝑑𝑟𝑖𝑣𝑒𝑟	PROPN
cana-1240	228	35	−	−	PROPN
cana-1240	228	36	𝑚4𝑧|	𝑚4𝑧|	PUNCT
cana-1240	228	37	(	(	PUNCT
cana-1240	228	38	25	25	NUM
cana-1240	228	39	)	)	PUNCT
cana-1240	228	40	communications	communication	NOUN
cana-1240	228	41	on	on	ADP
cana-1240	228	42	applied	apply	VERB
cana-1240	228	43	nonlinear	nonlinear	ADJ
cana-1240	228	44	analysis	analysis	NOUN
cana-1240	228	45	issn	issn	NOUN
cana-1240	228	46	:	:	PUNCT
cana-1240	228	47	1074	1074	NUM
cana-1240	228	48	-	-	PUNCT
cana-1240	228	49	133x	133x	NUM
cana-1240	228	50	vol	vol	NOUN
cana-1240	228	51	31	31	NUM
cana-1240	228	52	no	no	NOUN
cana-1240	228	53	.	.	PUNCT
cana-1240	229	1	6s	6s	NUM
cana-1240	229	2	(	(	PUNCT
cana-1240	229	3	2024	2024	NUM
cana-1240	229	4	)	)	PUNCT
cana-1240	229	5	509	509	NUM
cana-1240	229	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1240	229	7	if	if	SCONJ
cana-1240	229	8	the	the	DET
cana-1240	229	9	random	random	ADJ
cana-1240	229	10	vectors	vector	NOUN
cana-1240	229	11	fall	fall	VERB
cana-1240	229	12	within	within	ADP
cana-1240	229	13	the	the	DET
cana-1240	229	14	range	range	NOUN
cana-1240	229	15	of	of	ADP
cana-1240	229	16	[	[	X
cana-1240	229	17	1	1	NUM
cana-1240	229	18	,	,	PUNCT
cana-1240	229	19	1	1	NUM
cana-1240	229	20	]	]	PUNCT
cana-1240	229	21	,	,	PUNCT
cana-1240	229	22	then	then	ADV
cana-1240	229	23	the	the	DET
cana-1240	229	24	chimpanzee	chimpanzee	PROPN
cana-1240	229	25	's	's	PART
cana-1240	229	26	future	future	ADJ
cana-1240	229	27	position	position	NOUN
cana-1240	229	28	can	can	AUX
cana-1240	229	29	be	be	AUX
cana-1240	229	30	at	at	ADP
cana-1240	229	31	any	any	DET
cana-1240	229	32	location	location	NOUN
cana-1240	229	33	between	between	ADP
cana-1240	229	34	the	the	DET
cana-1240	229	35	present	present	ADJ
cana-1240	229	36	location	location	NOUN
cana-1240	229	37	and	and	CCONJ
cana-1240	229	38	the	the	DET
cana-1240	229	39	location	location	NOUN
cana-1240	229	40	of	of	ADP
cana-1240	229	41	the	the	DET
cana-1240	229	42	target	target	NOUN
cana-1240	229	43	or	or	CCONJ
cana-1240	229	44	prey	prey	NOUN
cana-1240	229	45	.	.	PUNCT
cana-1240	230	1	𝑧1	𝑧1	NOUN
cana-1240	230	2	=	=	SYM
cana-1240	230	3	𝑦𝑎𝑡𝑡𝑎𝑐𝑘𝑒𝑟	𝑦𝑎𝑡𝑡𝑎𝑐𝑘𝑒𝑟	ADJ
cana-1240	230	4	−	−	PROPN
cana-1240	230	5	𝑦1	𝑦1	PROPN
cana-1240	230	6	.	.	PUNCT
cana-1240	231	1	𝑑𝑎𝑡𝑡𝑎𝑐𝑘𝑒𝑟	𝑑𝑎𝑡𝑡𝑎𝑐𝑘𝑒𝑟	NOUN
cana-1240	231	2	(	(	PUNCT
cana-1240	231	3	26	26	NUM
cana-1240	231	4	)	)	PUNCT
cana-1240	231	5	𝑧2	𝑧2	NOUN
cana-1240	231	6	=	=	PROPN
cana-1240	231	7	𝑦𝑏𝑎𝑟𝑖𝑒𝑟	𝑦𝑏𝑎𝑟𝑖𝑒𝑟	NOUN
cana-1240	231	8	−	−	PROPN
cana-1240	231	9	𝑦2	𝑦2	PROPN
cana-1240	231	10	.	.	PUNCT
cana-1240	232	1	𝑑𝑏𝑎𝑟𝑖𝑒𝑟	𝑑𝑏𝑎𝑟𝑖𝑒𝑟	PROPN
cana-1240	232	2	(	(	PUNCT
cana-1240	232	3	27	27	NUM
cana-1240	232	4	)	)	PUNCT
cana-1240	232	5	𝑧3	𝑧3	NOUN
cana-1240	232	6	=	=	PROPN
cana-1240	232	7	𝑦𝑐ℎ𝑎𝑠𝑒𝑟	𝑦𝑐ℎ𝑎𝑠𝑒𝑟	PROPN
cana-1240	232	8	−	−	PROPN
cana-1240	232	9	𝑦3	𝑦3	PROPN
cana-1240	232	10	.	.	PUNCT
cana-1240	233	1	𝑑𝑐ℎ𝑎𝑠𝑒𝑟	𝑑𝑐ℎ𝑎𝑠𝑒𝑟	PROPN
cana-1240	233	2	(	(	PUNCT
cana-1240	233	3	28	28	NUM
cana-1240	233	4	)	)	PUNCT
cana-1240	233	5	𝑧4	𝑧4	NOUN
cana-1240	233	6	=	=	SYM
cana-1240	233	7	𝑦𝑑𝑟𝑖𝑣𝑒𝑟	𝑦𝑑𝑟𝑖𝑣𝑒𝑟	VERB
cana-1240	233	8	−	−	PROPN
cana-1240	233	9	𝑦4	𝑦4	NOUN
cana-1240	233	10	.	.	PUNCT
cana-1240	234	1	𝑑𝑑𝑟𝑖𝑣𝑒𝑟	𝑑𝑑𝑟𝑖𝑣𝑒𝑟	NOUN
cana-1240	234	2	(	(	PUNCT
cana-1240	234	3	29	29	NUM
cana-1240	234	4	)	)	PUNCT
cana-1240	234	5	(	(	PUNCT
cana-1240	234	6	c	c	X
cana-1240	234	7	)	)	PUNCT
cana-1240	234	8	gazelle	gazelle	NOUN
cana-1240	234	9	-	-	PUNCT
cana-1240	234	10	inspired	inspire	VERB
cana-1240	234	11	search	search	NOUN
cana-1240	234	12	strategy	strategy	NOUN
cana-1240	234	13	the	the	DET
cana-1240	234	14	brownian	brownian	PROPN
cana-1240	234	15	motion	motion	NOUN
cana-1240	234	16	,	,	PUNCT
cana-1240	234	17	which	which	PRON
cana-1240	234	18	is	be	AUX
cana-1240	234	19	typified	typify	VERB
cana-1240	234	20	by	by	ADP
cana-1240	234	21	uniform	uniform	NOUN
cana-1240	234	22	and	and	CCONJ
cana-1240	234	23	controlled	control	VERB
cana-1240	234	24	steps	step	NOUN
cana-1240	234	25	,	,	PUNCT
cana-1240	234	26	is	be	AUX
cana-1240	234	27	effectively	effectively	ADV
cana-1240	234	28	used	use	VERB
cana-1240	234	29	during	during	ADP
cana-1240	234	30	this	this	DET
cana-1240	234	31	phase	phase	NOUN
cana-1240	234	32	to	to	PART
cana-1240	234	33	cover	cover	VERB
cana-1240	234	34	neighbouring	neighbouring	ADJ
cana-1240	234	35	regions	region	NOUN
cana-1240	234	36	of	of	ADP
cana-1240	234	37	the	the	DET
cana-1240	234	38	domain	domain	NOUN
cana-1240	234	39	.	.	PUNCT
cana-1240	235	1	the	the	DET
cana-1240	235	2	following	follow	VERB
cana-1240	235	3	mathematical	mathematical	NOUN
cana-1240	235	4	eq	eq	ADP
cana-1240	235	5	.	.	PUNCT
cana-1240	236	1	(	(	PUNCT
cana-1240	236	2	30	30	NUM
cana-1240	236	3	)	)	PUNCT
cana-1240	236	4	updates	update	VERB
cana-1240	236	5	the	the	DET
cana-1240	236	6	chimpanzees	chimpanzee	NOUN
cana-1240	236	7	'	'	PART
cana-1240	236	8	location	location	NOUN
cana-1240	236	9	during	during	ADP
cana-1240	236	10	the	the	DET
cana-1240	236	11	search	search	NOUN
cana-1240	236	12	procedure	procedure	NOUN
cana-1240	236	13	using	use	VERB
cana-1240	236	14	the	the	DET
cana-1240	236	15	overall	overall	ADJ
cana-1240	236	16	equations	equation	NOUN
cana-1240	236	17	:	:	PUNCT
cana-1240	236	18	𝑧𝑛+1	𝑧𝑛+1	NUM
cana-1240	236	19	=	=	SYM
cana-1240	236	20	𝑧1	𝑧1	NOUN
cana-1240	236	21	+	+	CCONJ
cana-1240	236	22	𝑧2+𝑧3+𝑧4	𝑧2+𝑧3+𝑧4	ADJ
cana-1240	236	23	4	4	NUM
cana-1240	236	24	∗	∗	NOUN
cana-1240	236	25	𝑆.	𝑆.	PROPN
cana-1240	236	26	𝑅	𝑅	PROPN
cana-1240	236	27	∗	∗	NOUN
cana-1240	236	28	𝑅𝑏	𝑅𝑏	PROPN
cana-1240	236	29	(	(	PUNCT
cana-1240	236	30	30	30	NUM
cana-1240	236	31	)	)	PUNCT
cana-1240	236	32	where	where	SCONJ
cana-1240	236	33	𝑆	𝑆	PROPN
cana-1240	236	34	is	be	AUX
cana-1240	236	35	the	the	DET
cana-1240	236	36	somersault	somersault	NOUN
cana-1240	236	37	factor	factor	NOUN
cana-1240	236	38	,	,	PUNCT
cana-1240	236	39	which	which	PRON
cana-1240	236	40	is	be	AUX
cana-1240	236	41	used	use	VERB
cana-1240	236	42	to	to	PART
cana-1240	236	43	determine	determine	VERB
cana-1240	236	44	the	the	DET
cana-1240	236	45	somersault	somersault	NOUN
cana-1240	236	46	range	range	NOUN
cana-1240	236	47	,	,	PUNCT
cana-1240	236	48	which	which	PRON
cana-1240	236	49	is	be	AUX
cana-1240	236	50	𝑆	𝑆	PROPN
cana-1240	236	51	=	=	SYM
cana-1240	236	52	2	2	X
cana-1240	236	53	.	.	PUNCT
cana-1240	236	54	constant	constant	ADJ
cana-1240	236	55	random	random	ADJ
cana-1240	236	56	integers	integer	NOUN
cana-1240	237	1	[	[	X
cana-1240	237	2	0	0	NUM
cana-1240	237	3	,	,	PUNCT
cana-1240	237	4	1	1	NUM
cana-1240	237	5	]	]	PUNCT
cana-1240	237	6	make	make	VERB
cana-1240	237	7	up	up	ADP
cana-1240	237	8	the	the	DET
cana-1240	237	9	vector	vector	NOUN
cana-1240	237	10	𝑅𝑏	𝑅𝑏	PROPN
cana-1240	237	11	,	,	PUNCT
cana-1240	237	12	and	and	CCONJ
cana-1240	237	13	𝑅	𝑅	PROPN
cana-1240	237	14	is	be	AUX
cana-1240	237	15	a	a	DET
cana-1240	237	16	vector	vector	NOUN
cana-1240	237	17	of	of	ADP
cana-1240	237	18	various	various	ADJ
cana-1240	237	19	random	random	ADJ
cana-1240	237	20	numbers	number	NOUN
cana-1240	237	21	that	that	PRON
cana-1240	237	22	exhibit	exhibit	VERB
cana-1240	237	23	the	the	DET
cana-1240	237	24	brownian	brownian	ADJ
cana-1240	237	25	motion	motion	NOUN
cana-1240	237	26	inspired	inspire	VERB
cana-1240	237	27	from	from	ADP
cana-1240	237	28	the	the	DET
cana-1240	237	29	gazelle	gazelle	NOUN
cana-1240	237	30	optimization	optimization	NOUN
cana-1240	237	31	.	.	PUNCT
cana-1240	238	1	(	(	PUNCT
cana-1240	238	2	d	d	X
cana-1240	238	3	)	)	PUNCT
cana-1240	238	4	fibonacci	fibonacci	NOUN
cana-1240	238	5	search	search	NOUN
cana-1240	238	6	method	method	NOUN
cana-1240	238	7	(	(	PUNCT
cana-1240	238	8	fsm	fsm	PROPN
cana-1240	238	9	)	)	PUNCT
cana-1240	238	10	integration	integration	NOUN
cana-1240	238	11	the	the	DET
cana-1240	238	12	fibonacci	fibonacci	NOUN
cana-1240	238	13	search	search	NOUN
cana-1240	238	14	method	method	NOUN
cana-1240	238	15	is	be	AUX
cana-1240	238	16	the	the	DET
cana-1240	238	17	one	one	NUM
cana-1240	238	18	that	that	PRON
cana-1240	238	19	,	,	PUNCT
cana-1240	238	20	after	after	SCONJ
cana-1240	238	21	a	a	DET
cana-1240	238	22	finite	finite	ADJ
cana-1240	238	23	number	number	NOUN
cana-1240	238	24	of	of	ADP
cana-1240	238	25	tests	test	NOUN
cana-1240	238	26	are	be	AUX
cana-1240	238	27	run	run	VERB
cana-1240	238	28	,	,	PUNCT
cana-1240	238	29	produces	produce	VERB
cana-1240	238	30	the	the	DET
cana-1240	238	31	smallest	small	ADJ
cana-1240	238	32	uncertainty	uncertainty	NOUN
cana-1240	238	33	interval	interval	NOUN
cana-1240	238	34	in	in	ADP
cana-1240	238	35	which	which	PRON
cana-1240	238	36	the	the	DET
cana-1240	238	37	best	good	ADJ
cana-1240	238	38	solution	solution	NOUN
cana-1240	238	39	is	be	AUX
cana-1240	238	40	found.the	found.the	DET
cana-1240	238	41	fibonacci	fibonacci	NOUN
cana-1240	238	42	numbers	number	NOUN
cana-1240	238	43	(	(	PUNCT
cana-1240	238	44	fib	fib	ADJ
cana-1240	238	45	)	)	PUNCT
cana-1240	238	46	sequence	sequence	NOUN
cana-1240	238	47	,	,	PUNCT
cana-1240	238	48	as	as	SCONJ
cana-1240	238	49	displayed	display	VERB
cana-1240	238	50	by	by	ADP
cana-1240	238	51	equation	equation	NOUN
cana-1240	238	52	(	(	PUNCT
cana-1240	238	53	10	10	NUM
cana-1240	238	54	)	)	PUNCT
cana-1240	238	55	,	,	PUNCT
cana-1240	238	56	serves	serve	VERB
cana-1240	238	57	as	as	ADP
cana-1240	238	58	the	the	DET
cana-1240	238	59	foundation	foundation	NOUN
cana-1240	238	60	for	for	ADP
cana-1240	238	61	the	the	DET
cana-1240	238	62	fibonacci	fibonacci	NOUN
cana-1240	238	63	search	search	NOUN
cana-1240	238	64	.	.	PUNCT
cana-1240	239	1	𝐹0	𝐹0	NOUN
cana-1240	239	2	=	=	SYM
cana-1240	239	3	1	1	NUM
cana-1240	239	4	=	=	SYM
cana-1240	239	5	𝐹1	𝐹1	NOUN
cana-1240	239	6	,	,	PUNCT
cana-1240	239	7	𝐹𝑘	𝐹𝑘	PROPN
cana-1240	239	8	=	=	PUNCT
cana-1240	239	9	𝐹𝑘−1	𝐹𝑘−1	PROPN
cana-1240	240	1	+	+	NUM
cana-1240	240	2	𝐹𝑘−1	𝐹𝑘−1	PROPN
cana-1240	241	1	+	+	CCONJ
cana-1240	241	2	𝐹𝑘−2,𝑘	𝐹𝑘−2,𝑘	NOUN
cana-1240	241	3	=	=	PUNCT
cana-1240	241	4	2,3,4	2,3,4	NUM
cana-1240	241	5	…	…	NUM
cana-1240	241	6	.	.	PUNCT
cana-1240	242	1	,	,	PUNCT
cana-1240	242	2	𝑛	𝑛	PROPN
cana-1240	242	3	the	the	DET
cana-1240	242	4	fsm	fsm	PROPN
cana-1240	242	5	is	be	AUX
cana-1240	242	6	an	an	DET
cana-1240	242	7	approach	approach	NOUN
cana-1240	242	8	to	to	ADP
cana-1240	242	9	solving	solve	VERB
cana-1240	242	10	non	non	ADJ
cana-1240	242	11	-	-	ADJ
cana-1240	242	12	linear	linear	ADJ
cana-1240	242	13	optimization	optimization	NOUN
cana-1240	242	14	problems	problem	NOUN
cana-1240	242	15	that	that	PRON
cana-1240	242	16	is	be	AUX
cana-1240	242	17	also	also	ADV
cana-1240	242	18	known	know	VERB
cana-1240	242	19	as	as	ADP
cana-1240	242	20	the	the	DET
cana-1240	242	21	interval	interval	NOUN
cana-1240	242	22	reduction	reduction	NOUN
cana-1240	242	23	method	method	NOUN
cana-1240	242	24	or	or	CCONJ
cana-1240	242	25	elimination	elimination	NOUN
cana-1240	242	26	technique	technique	NOUN
cana-1240	242	27	.	.	PUNCT
cana-1240	243	1	to	to	PART
cana-1240	243	2	find	find	VERB
cana-1240	243	3	the	the	DET
cana-1240	243	4	extreme	extreme	ADJ
cana-1240	243	5	value	value	NOUN
cana-1240	243	6	of	of	ADP
cana-1240	243	7	functions	function	NOUN
cana-1240	243	8	,	,	PUNCT
cana-1240	243	9	the	the	DET
cana-1240	243	10	fsm	fsm	PROPN
cana-1240	243	11	uses	use	VERB
cana-1240	243	12	fibonacci	fibonacci	NOUN
cana-1240	243	13	numbers	number	NOUN
cana-1240	243	14	to	to	PART
cana-1240	243	15	shift	shift	VERB
cana-1240	243	16	and	and	CCONJ
cana-1240	243	17	narrow	narrow	VERB
cana-1240	243	18	the	the	DET
cana-1240	243	19	search	search	NOUN
cana-1240	243	20	range.this	range.this	PRON
cana-1240	243	21	technique	technique	NOUN
cana-1240	243	22	enhances	enhance	VERB
cana-1240	243	23	the	the	DET
cana-1240	243	24	updated	update	VERB
cana-1240	243	25	equation	equation	NOUN
cana-1240	243	26	of	of	ADP
cana-1240	243	27	gazelle	gazelle	NOUN
cana-1240	243	28	inspired	inspire	VERB
cana-1240	243	29	search	search	NOUN
cana-1240	243	30	by	by	ADP
cana-1240	243	31	employing	employ	VERB
cana-1240	243	32	the	the	DET
cana-1240	243	33	fibonacci	fibonacci	NOUN
cana-1240	243	34	search	search	NOUN
cana-1240	243	35	method	method	NOUN
cana-1240	243	36	(	(	PUNCT
cana-1240	243	37	fsm	fsm	PROPN
cana-1240	243	38	)	)	PUNCT
cana-1240	243	39	,	,	PUNCT
cana-1240	243	40	which	which	PRON
cana-1240	243	41	is	be	AUX
cana-1240	243	42	cantered	canter	VERB
cana-1240	243	43	on	on	ADP
cana-1240	243	44	updating	update	VERB
cana-1240	243	45	the	the	DET
cana-1240	243	46	best	good	ADJ
cana-1240	243	47	solution	solution	NOUN
cana-1240	243	48	currently	currently	ADV
cana-1240	243	49	found	find	VERB
cana-1240	243	50	during	during	ADP
cana-1240	243	51	the	the	DET
cana-1240	243	52	iterative	iterative	NOUN
cana-1240	243	53	process	process	NOUN
cana-1240	243	54	.	.	PUNCT
cana-1240	244	1	the	the	DET
cana-1240	244	2	fsm	fsm	PROPN
cana-1240	244	3	guarantees	guarantee	VERB
cana-1240	244	4	that	that	SCONJ
cana-1240	244	5	the	the	DET
cana-1240	244	6	solutions	solution	NOUN
cana-1240	244	7	are	be	AUX
cana-1240	244	8	not	not	PART
cana-1240	244	9	confined	confine	VERB
cana-1240	244	10	to	to	ADP
cana-1240	244	11	local	local	ADJ
cana-1240	244	12	optima	optima	NOUN
cana-1240	244	13	and	and	CCONJ
cana-1240	244	14	encourages	encourage	VERB
cana-1240	244	15	a	a	DET
cana-1240	244	16	high	high	ADJ
cana-1240	244	17	degree	degree	NOUN
cana-1240	244	18	of	of	ADP
cana-1240	244	19	diversification	diversification	NOUN
cana-1240	244	20	.	.	PUNCT
cana-1240	245	1	𝑦𝑐ℎ𝑖𝑚𝑝(𝑘	𝑦𝑐ℎ𝑖𝑚𝑝(𝑘	ADP
cana-1240	245	2	+	+	NOUN
cana-1240	245	3	1	1	NUM
cana-1240	245	4	)	)	PUNCT
cana-1240	245	5	=	=	SYM
cana-1240	245	6	𝑧𝑛+1	𝑧𝑛+1	NUM
cana-1240	245	7	+	+	CCONJ
cana-1240	245	8	(	(	PUNCT
cana-1240	245	9	𝐹𝑘−2	𝐹𝑘−2	NOUN
cana-1240	245	10	𝐹𝑘	𝐹𝑘	PROPN
cana-1240	245	11	)	)	PUNCT
cana-1240	245	12	(	(	PUNCT
cana-1240	245	13	𝑏𝑖	𝑏𝑖	ADP
cana-1240	245	14	−	−	PROPN
cana-1240	245	15	𝑎𝑖	𝑎𝑖	NOUN
cana-1240	245	16	)	)	PUNCT
cana-1240	245	17	(	(	PUNCT
cana-1240	245	18	31	31	NUM
cana-1240	245	19	)	)	PUNCT
cana-1240	245	20	fibonacci	fibonacci	NOUN
cana-1240	245	21	sequence	sequence	NOUN
cana-1240	245	22	-	-	PUNCT
cana-1240	245	23	based	base	VERB
cana-1240	245	24	fsm	fsm	PROPN
cana-1240	245	25	is	be	AUX
cana-1240	245	26	integrated	integrate	VERB
cana-1240	245	27	to	to	PART
cana-1240	245	28	enhance	enhance	VERB
cana-1240	245	29	search	search	NOUN
cana-1240	245	30	process	process	NOUN
cana-1240	245	31	,	,	PUNCT
cana-1240	245	32	update	update	NOUN
cana-1240	245	33	solutions	solution	NOUN
cana-1240	245	34	,	,	PUNCT
cana-1240	245	35	and	and	CCONJ
cana-1240	245	36	guarantee	guarantee	VERB
cana-1240	245	37	that	that	SCONJ
cana-1240	245	38	the	the	DET
cana-1240	245	39	algorithm	algorithm	NOUN
cana-1240	245	40	explores	explore	VERB
cana-1240	245	41	a	a	DET
cana-1240	245	42	wide	wide	ADJ
cana-1240	245	43	range	range	NOUN
cana-1240	245	44	of	of	ADP
cana-1240	245	45	solutions	solution	NOUN
cana-1240	245	46	instead	instead	ADV
cana-1240	245	47	of	of	ADP
cana-1240	245	48	being	be	AUX
cana-1240	245	49	limited	limit	VERB
cana-1240	245	50	to	to	ADP
cana-1240	245	51	local	local	ADJ
cana-1240	245	52	optima.in	optima.in	NUM
cana-1240	245	53	order	order	NOUN
cana-1240	245	54	to	to	PART
cana-1240	245	55	accomplish	accomplish	VERB
cana-1240	245	56	effective	effective	ADJ
cana-1240	245	57	optimization	optimization	NOUN
cana-1240	245	58	in	in	ADP
cana-1240	245	59	difficult	difficult	ADJ
cana-1240	245	60	problem	problem	NOUN
cana-1240	245	61	spaces	space	NOUN
cana-1240	245	62	,	,	PUNCT
cana-1240	245	63	this	this	DET
cana-1240	245	64	algorithm	algorithm	NOUN
cana-1240	245	65	appears	appear	VERB
cana-1240	245	66	to	to	PART
cana-1240	245	67	be	be	AUX
cana-1240	245	68	designed	design	VERB
cana-1240	245	69	to	to	PART
cana-1240	245	70	strike	strike	VERB
cana-1240	245	71	a	a	DET
cana-1240	245	72	balance	balance	NOUN
cana-1240	245	73	between	between	ADP
cana-1240	245	74	exploration	exploration	NOUN
cana-1240	245	75	and	and	CCONJ
cana-1240	245	76	exploitation	exploitation	NOUN
cana-1240	245	77	by	by	ADP
cana-1240	245	78	leveraging	leverage	VERB
cana-1240	245	79	various	various	ADJ
cana-1240	245	80	mechanisms	mechanism	NOUN
cana-1240	245	81	that	that	PRON
cana-1240	245	82	are	be	AUX
cana-1240	245	83	inspired	inspire	VERB
cana-1240	245	84	by	by	ADP
cana-1240	245	85	nature	nature	NOUN
cana-1240	245	86	.	.	PUNCT
cana-1240	246	1	(	(	PUNCT
cana-1240	246	2	e	e	NOUN
cana-1240	246	3	)	)	PUNCT
cana-1240	246	4	dynamic	dynamic	ADJ
cana-1240	246	5	chaotic	chaotic	ADJ
cana-1240	246	6	movement	movement	NOUN
cana-1240	246	7	in	in	ADP
cana-1240	246	8	order	order	NOUN
cana-1240	246	9	to	to	PART
cana-1240	246	10	simulate	simulate	VERB
cana-1240	246	11	this	this	DET
cana-1240	246	12	simultaneous	simultaneous	ADJ
cana-1240	246	13	behaviour	behaviour	NOUN
cana-1240	246	14	,	,	PUNCT
cana-1240	246	15	the	the	DET
cana-1240	246	16	assumption	assumption	NOUN
cana-1240	246	17	is	be	AUX
cana-1240	246	18	made	make	VERB
cana-1240	246	19	that	that	SCONJ
cana-1240	246	20	there	there	PRON
cana-1240	246	21	is	be	VERB
cana-1240	246	22	a	a	DET
cana-1240	246	23	50	50	NUM
cana-1240	246	24	%	%	NOUN
cana-1240	246	25	chance	chance	NOUN
cana-1240	246	26	that	that	SCONJ
cana-1240	246	27	the	the	DET
cana-1240	246	28	chimp	chimp	PROPN
cana-1240	246	29	’s	’s	PART
cana-1240	246	30	position	position	NOUN
cana-1240	246	31	will	will	AUX
cana-1240	246	32	be	be	AUX
cana-1240	246	33	updated	update	VERB
cana-1240	246	34	during	during	ADP
cana-1240	246	35	optimization	optimization	NOUN
cana-1240	246	36	via	via	ADP
cana-1240	246	37	the	the	DET
cana-1240	246	38	chaotic	chaotic	ADJ
cana-1240	246	39	model	model	NOUN
cana-1240	246	40	or	or	CCONJ
cana-1240	246	41	the	the	DET
cana-1240	246	42	communications	communication	NOUN
cana-1240	246	43	on	on	ADP
cana-1240	246	44	applied	apply	VERB
cana-1240	246	45	nonlinear	nonlinear	ADJ
cana-1240	246	46	analysis	analysis	NOUN
cana-1240	246	47	issn	issn	NOUN
cana-1240	246	48	:	:	PUNCT
cana-1240	246	49	1074	1074	NUM
cana-1240	246	50	-	-	PUNCT
cana-1240	246	51	133x	133x	NUM
cana-1240	246	52	vol	vol	NOUN
cana-1240	246	53	31	31	NUM
cana-1240	246	54	no	no	NOUN
cana-1240	246	55	.	.	PUNCT
cana-1240	247	1	6s	6s	NUM
cana-1240	247	2	(	(	PUNCT
cana-1240	247	3	2024	2024	NUM
cana-1240	247	4	)	)	PUNCT
cana-1240	247	5	510	510	NUM
cana-1240	247	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1240	247	7	regular	regular	ADJ
cana-1240	247	8	updating	updating	NOUN
cana-1240	247	9	mechanism	mechanism	NOUN
cana-1240	247	10	.	.	PUNCT
cana-1240	248	1	ultimately	ultimately	ADV
cana-1240	248	2	,	,	PUNCT
cana-1240	248	3	the	the	DET
cana-1240	248	4	location	location	NOUN
cana-1240	248	5	of	of	ADP
cana-1240	248	6	the	the	DET
cana-1240	248	7	chimpanzees	chimpanzee	NOUN
cana-1240	248	8	within	within	ADP
cana-1240	248	9	the	the	DET
cana-1240	248	10	search	search	NOUN
cana-1240	248	11	domain	domain	NOUN
cana-1240	248	12	has	have	AUX
cana-1240	248	13	been	be	AUX
cana-1240	248	14	updated	update	VERB
cana-1240	248	15	using	use	VERB
cana-1240	248	16	the	the	DET
cana-1240	248	17	subsequent	subsequent	ADJ
cana-1240	248	18	mathematical	mathematical	ADJ
cana-1240	248	19	equation	equation	NOUN
cana-1240	248	20	(	(	PUNCT
cana-1240	248	21	32	32	NUM
cana-1240	248	22	):	):	PUNCT
cana-1240	248	23	𝑦𝑐ℎ𝑖𝑚𝑝(𝑘	𝑦𝑐ℎ𝑖𝑚𝑝(𝑘	NOUN
cana-1240	248	24	+	+	NOUN
cana-1240	248	25	1	1	NUM
cana-1240	248	26	)	)	PUNCT
cana-1240	248	27	=	=	PRON
cana-1240	248	28	{	{	PUNCT
cana-1240	248	29	𝑦𝑝𝑟𝑒𝑦(𝑘	𝑦𝑝𝑟𝑒𝑦(𝑘	NOUN
cana-1240	248	30	)	)	PUNCT
cana-1240	248	31	−	−	PROPN
cana-1240	248	32	𝑧.	𝑧.	NOUN
cana-1240	249	1	𝑑	𝑑	PROPN
cana-1240	249	2	𝑖𝑓	𝑖𝑓	VERB
cana-1240	249	3	𝜙	𝜙	X
cana-1240	249	4	<	<	X
cana-1240	249	5	0.5	0.5	NUM
cana-1240	249	6	𝑐ℎ𝑎𝑜𝑡𝑖𝑐	𝑐ℎ𝑎𝑜𝑡𝑖𝑐	NOUN
cana-1240	249	7	𝑣𝑎𝑙𝑢𝑒	𝑣𝑎𝑙𝑢𝑒	NOUN
cana-1240	249	8	𝑖𝑓	𝑖𝑓	ADP
cana-1240	249	9	𝜙	𝜙	X
cana-1240	249	10	>	>	X
cana-1240	249	11	0.5	0.5	NUM
cana-1240	249	12	(	(	PUNCT
cana-1240	249	13	32	32	NUM
cana-1240	249	14	)	)	PUNCT
cana-1240	249	15	where	where	SCONJ
cana-1240	249	16	𝜙is	𝜙i	NOUN
cana-1240	249	17	a	a	DET
cana-1240	249	18	random	random	ADJ
cana-1240	249	19	number	number	NOUN
cana-1240	249	20	between	between	ADP
cana-1240	249	21	[	[	X
cana-1240	249	22	0,1	0,1	NUM
cana-1240	249	23	]	]	PUNCT
cana-1240	249	24	.	.	PUNCT
cana-1240	250	1	when	when	SCONJ
cana-1240	250	2	determining	determine	VERB
cana-1240	250	3	whether	whether	SCONJ
cana-1240	250	4	to	to	PART
cana-1240	250	5	move	move	VERB
cana-1240	250	6	closer	close	ADV
cana-1240	250	7	to	to	ADP
cana-1240	250	8	the	the	DET
cana-1240	250	9	prey	prey	NOUN
cana-1240	250	10	or	or	CCONJ
cana-1240	250	11	rely	rely	VERB
cana-1240	250	12	on	on	ADP
cana-1240	250	13	chaotic	chaotic	ADJ
cana-1240	250	14	values	value	NOUN
cana-1240	250	15	to	to	PART
cana-1240	250	16	guide	guide	VERB
cana-1240	250	17	its	its	PRON
cana-1240	250	18	movement	movement	NOUN
cana-1240	250	19	,	,	PUNCT
cana-1240	250	20	the	the	DET
cana-1240	250	21	final	final	ADJ
cana-1240	250	22	location	location	NOUN
cana-1240	250	23	update	update	NOUN
cana-1240	250	24	takes	take	VERB
cana-1240	250	25	into	into	ADP
cana-1240	250	26	account	account	NOUN
cana-1240	250	27	a	a	DET
cana-1240	250	28	random	random	ADJ
cana-1240	250	29	number𝜙.	number𝜙.	NOUN
cana-1240	250	30	the	the	DET
cana-1240	250	31	last	last	ADJ
cana-1240	250	32	stage	stage	NOUN
cana-1240	250	33	of	of	ADP
cana-1240	250	34	this	this	DET
cana-1240	250	35	chaotic	chaotic	ADJ
cana-1240	250	36	behavior	behavior	NOUN
cana-1240	250	37	aids	aid	NOUN
cana-1240	250	38	chimps	chimp	NOUN
cana-1240	250	39	in	in	ADP
cana-1240	250	40	overcoming	overcome	VERB
cana-1240	250	41	the	the	DET
cana-1240	250	42	two	two	NUM
cana-1240	250	43	issues	issue	NOUN
cana-1240	250	44	of	of	ADP
cana-1240	250	45	being	be	AUX
cana-1240	250	46	trapped	trap	VERB
cana-1240	250	47	in	in	ADP
cana-1240	250	48	local	local	ADJ
cana-1240	250	49	optima	optima	NOUN
cana-1240	250	50	and	and	CCONJ
cana-1240	250	51	having	have	VERB
cana-1240	250	52	a	a	DET
cana-1240	250	53	slow	slow	ADJ
cana-1240	250	54	rate	rate	NOUN
cana-1240	250	55	of	of	ADP
cana-1240	250	56	convergence	convergence	NOUN
cana-1240	250	57	when	when	SCONJ
cana-1240	250	58	solving	solve	VERB
cana-1240	250	59	high	high	ADJ
cana-1240	250	60	-	-	PUNCT
cana-1240	250	61	dimensional	dimensional	ADJ
cana-1240	250	62	problems	problem	NOUN
cana-1240	250	63	.	.	PUNCT
cana-1240	251	1	the	the	DET
cana-1240	251	2	chimpgaz	chimpgaz	NOUN
cana-1240	251	3	optimization	optimization	NOUN
cana-1240	251	4	algorithm	algorithm	NOUN
cana-1240	251	5	is	be	AUX
cana-1240	251	6	essential	essential	ADJ
cana-1240	251	7	for	for	ADP
cana-1240	251	8	optimizing	optimize	VERB
cana-1240	251	9	the	the	DET
cana-1240	251	10	mask	mask	NOUN
cana-1240	251	11	r	r	NOUN
cana-1240	251	12	-	-	PUNCT
cana-1240	251	13	cnn	cnn	PROPN
cana-1240	251	14	algorithm	algorithm	NOUN
cana-1240	251	15	because	because	SCONJ
cana-1240	251	16	of	of	ADP
cana-1240	251	17	its	its	PRON
cana-1240	251	18	capacity	capacity	NOUN
cana-1240	251	19	to	to	PART
cana-1240	251	20	adjust	adjust	VERB
cana-1240	251	21	to	to	ADP
cana-1240	251	22	a	a	DET
cana-1240	251	23	variety	variety	NOUN
cana-1240	251	24	of	of	ADP
cana-1240	251	25	datasets	dataset	NOUN
cana-1240	251	26	,	,	PUNCT
cana-1240	251	27	thoroughly	thoroughly	ADV
cana-1240	251	28	explore	explore	VERB
cana-1240	251	29	hyper	hyper	ADJ
cana-1240	251	30	-	-	ADJ
cana-1240	251	31	parameter	parameter	NOUN
cana-1240	251	32	spaces	space	NOUN
cana-1240	251	33	,	,	PUNCT
cana-1240	251	34	and	and	CCONJ
cana-1240	251	35	converge	converge	VERB
cana-1240	251	36	quickly	quickly	ADV
cana-1240	251	37	.	.	PUNCT
cana-1240	252	1	this	this	DET
cana-1240	252	2	improvement	improvement	NOUN
cana-1240	252	3	ultimately	ultimately	ADV
cana-1240	252	4	leads	lead	VERB
cana-1240	252	5	to	to	ADP
cana-1240	252	6	enhanced	enhanced	ADJ
cana-1240	252	7	accuracy	accuracy	NOUN
cana-1240	252	8	in	in	ADP
cana-1240	252	9	roi	roi	NOUN
cana-1240	252	10	segmentation	segmentation	NOUN
cana-1240	252	11	which	which	PRON
cana-1240	252	12	subsequently	subsequently	ADV
cana-1240	252	13	raises	raise	VERB
cana-1240	252	14	the	the	DET
cana-1240	252	15	overall	overall	ADJ
cana-1240	252	16	efficacy	efficacy	NOUN
cana-1240	252	17	of	of	ADP
cana-1240	252	18	lung	lung	NOUN
cana-1240	252	19	cancer	cancer	NOUN
cana-1240	252	20	detection	detection	NOUN
cana-1240	252	21	frameworks	framework	NOUN
cana-1240	252	22	.	.	PUNCT
cana-1240	253	1	figure	figure	NOUN
cana-1240	253	2	2	2	NUM
cana-1240	253	3	shows	show	VERB
cana-1240	253	4	the	the	DET
cana-1240	253	5	pre	pre	ADJ
cana-1240	253	6	-	-	ADJ
cana-1240	253	7	processed	processed	ADJ
cana-1240	253	8	and	and	CCONJ
cana-1240	253	9	roi	roi	NOUN
cana-1240	253	10	identification	identification	NOUN
cana-1240	253	11	of	of	ADP
cana-1240	253	12	sample	sample	NOUN
cana-1240	253	13	images	image	NOUN
cana-1240	253	14	.	.	PUNCT
cana-1240	254	1	input	input	NOUN
cana-1240	254	2	images	image	NOUN
cana-1240	254	3	pre	pre	ADJ
cana-1240	254	4	-	-	ADJ
cana-1240	254	5	processed	processed	ADJ
cana-1240	254	6	images	image	NOUN
cana-1240	254	7	roi	roi	NOUN
cana-1240	254	8	identified	identify	VERB
cana-1240	254	9	images	image	NOUN
cana-1240	254	10	figure	figure	NOUN
cana-1240	254	11	2	2	NUM
cana-1240	254	12	:	:	PUNCT
cana-1240	254	13	sample	sample	NOUN
cana-1240	254	14	images	image	NOUN
cana-1240	254	15	of	of	ADP
cana-1240	254	16	pre	pre	ADJ
cana-1240	254	17	-	-	ADJ
cana-1240	254	18	processed	processed	ADJ
cana-1240	254	19	and	and	CCONJ
cana-1240	254	20	roi	roi	NOUN
cana-1240	254	21	identified	identify	VERB
cana-1240	254	22	images	image	NOUN
cana-1240	254	23	communications	communication	NOUN
cana-1240	254	24	on	on	ADP
cana-1240	254	25	applied	apply	VERB
cana-1240	254	26	nonlinear	nonlinear	ADJ
cana-1240	254	27	analysis	analysis	NOUN
cana-1240	254	28	issn	issn	NOUN
cana-1240	254	29	:	:	PUNCT
cana-1240	254	30	1074	1074	NUM
cana-1240	254	31	-	-	PUNCT
cana-1240	254	32	133x	133x	NUM
cana-1240	254	33	vol	vol	NOUN
cana-1240	254	34	31	31	NUM
cana-1240	254	35	no	no	NOUN
cana-1240	254	36	.	.	PUNCT
cana-1240	255	1	6s	6s	NUM
cana-1240	255	2	(	(	PUNCT
cana-1240	255	3	2024	2024	NUM
cana-1240	255	4	)	)	PUNCT
cana-1240	255	5	511	511	NUM
cana-1240	255	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1240	255	7	3.3	3.3	NUM
cana-1240	255	8	.	.	PUNCT
cana-1240	256	1	feature	feature	NOUN
cana-1240	256	2	extraction	extraction	NOUN
cana-1240	256	3	feature	feature	NOUN
cana-1240	256	4	extraction	extraction	NOUN
cana-1240	256	5	,	,	PUNCT
cana-1240	256	6	which	which	PRON
cana-1240	256	7	involves	involve	VERB
cana-1240	256	8	extracting	extract	VERB
cana-1240	256	9	crucial	crucial	ADJ
cana-1240	256	10	data	datum	NOUN
cana-1240	256	11	from	from	ADP
cana-1240	256	12	medical	medical	ADJ
cana-1240	256	13	images	image	NOUN
cana-1240	256	14	to	to	PART
cana-1240	256	15	enable	enable	VERB
cana-1240	256	16	precise	precise	ADJ
cana-1240	256	17	analysis	analysis	NOUN
cana-1240	256	18	,	,	PUNCT
cana-1240	256	19	is	be	AUX
cana-1240	256	20	a	a	DET
cana-1240	256	21	crucial	crucial	ADJ
cana-1240	256	22	stage	stage	NOUN
cana-1240	256	23	in	in	ADP
cana-1240	256	24	the	the	DET
cana-1240	256	25	recognitionof	recognitionof	NOUN
cana-1240	256	26	lung	lung	NOUN
cana-1240	256	27	cancer	cancer	NOUN
cana-1240	256	28	.	.	PUNCT
cana-1240	257	1	a	a	DET
cana-1240	257	2	wide	wide	ADJ
cana-1240	257	3	range	range	NOUN
cana-1240	257	4	of	of	ADP
cana-1240	257	5	descriptors	descriptor	NOUN
cana-1240	257	6	are	be	AUX
cana-1240	257	7	used	use	VERB
cana-1240	257	8	in	in	ADP
cana-1240	257	9	this	this	DET
cana-1240	257	10	work	work	NOUN
cana-1240	257	11	,	,	PUNCT
cana-1240	257	12	including	include	VERB
cana-1240	257	13	shape	shape	NOUN
cana-1240	257	14	features	feature	NOUN
cana-1240	257	15	(	(	PUNCT
cana-1240	257	16	circumference	circumference	NOUN
cana-1240	257	17	,	,	PUNCT
cana-1240	257	18	area	area	NOUN
cana-1240	257	19	,	,	PUNCT
cana-1240	257	20	and	and	CCONJ
cana-1240	257	21	perimeter	perimeter	NOUN
cana-1240	257	22	)	)	PUNCT
cana-1240	257	23	,	,	PUNCT
cana-1240	257	24	geometric	geometric	ADJ
cana-1240	257	25	features	feature	NOUN
cana-1240	257	26	(	(	PUNCT
cana-1240	257	27	centroid	centroid	NOUN
cana-1240	257	28	,	,	PUNCT
cana-1240	257	29	euler	euler	NOUN
cana-1240	257	30	number	number	NOUN
cana-1240	257	31	,	,	PUNCT
cana-1240	257	32	and	and	CCONJ
cana-1240	257	33	convexity	convexity	NOUN
cana-1240	257	34	)	)	PUNCT
cana-1240	257	35	,	,	PUNCT
cana-1240	257	36	color	color	NOUN
cana-1240	257	37	features	feature	NOUN
cana-1240	257	38	(	(	PUNCT
cana-1240	257	39	histograms	histogram	NOUN
cana-1240	257	40	)	)	PUNCT
cana-1240	257	41	,	,	PUNCT
cana-1240	257	42	and	and	CCONJ
cana-1240	257	43	texture	texture	NOUN
cana-1240	257	44	features	feature	NOUN
cana-1240	257	45	(	(	PUNCT
cana-1240	257	46	local	local	ADJ
cana-1240	257	47	directional	directional	ADJ
cana-1240	257	48	patterns	pattern	NOUN
cana-1240	257	49	,	,	PUNCT
cana-1240	257	50	or	or	CCONJ
cana-1240	257	51	ldp	ldp	PROPN
cana-1240	257	52	,	,	PUNCT
cana-1240	257	53	and	and	CCONJ
cana-1240	257	54	gabor	gabor	PROPN
cana-1240	257	55	local	local	ADJ
cana-1240	257	56	binary	binary	NOUN
cana-1240	257	57	patterns	pattern	NOUN
cana-1240	257	58	,	,	PUNCT
cana-1240	257	59	or	or	CCONJ
cana-1240	257	60	glbp	glbp	ADJ
cana-1240	257	61	)	)	PUNCT
cana-1240	257	62	.	.	PUNCT
cana-1240	258	1	each	each	PRON
cana-1240	258	2	of	of	ADP
cana-1240	258	3	these	these	DET
cana-1240	258	4	methods	method	NOUN
cana-1240	258	5	is	be	AUX
cana-1240	258	6	essential	essential	ADJ
cana-1240	258	7	for	for	ADP
cana-1240	258	8	obtaining	obtain	VERB
cana-1240	258	9	pertinent	pertinent	ADJ
cana-1240	258	10	data	datum	NOUN
cana-1240	258	11	that	that	PRON
cana-1240	258	12	is	be	AUX
cana-1240	258	13	useful	useful	ADJ
cana-1240	258	14	for	for	ADP
cana-1240	258	15	identifying	identify	VERB
cana-1240	258	16	minute	minute	NOUN
cana-1240	258	17	details	detail	NOUN
cana-1240	258	18	indicative	indicative	ADJ
cana-1240	258	19	of	of	ADP
cana-1240	258	20	lung	lung	NOUN
cana-1240	258	21	cancer	cancer	NOUN
cana-1240	258	22	.	.	PUNCT
cana-1240	259	1	3.3.1	3.3.1	X
cana-1240	259	2	.	.	PUNCT
cana-1240	259	3	shape	shape	NOUN
cana-1240	259	4	features	feature	VERB
cana-1240	259	5	the	the	DET
cana-1240	259	6	analysis	analysis	NOUN
cana-1240	259	7	and	and	CCONJ
cana-1240	259	8	characterisation	characterisation	NOUN
cana-1240	259	9	of	of	ADP
cana-1240	259	10	regions	region	NOUN
cana-1240	259	11	inside	inside	ADP
cana-1240	259	12	images	image	NOUN
cana-1240	259	13	depend	depend	VERB
cana-1240	259	14	heavily	heavily	ADV
cana-1240	259	15	on	on	ADP
cana-1240	259	16	the	the	DET
cana-1240	259	17	computation	computation	NOUN
cana-1240	259	18	of	of	ADP
cana-1240	259	19	shape	shape	NOUN
cana-1240	259	20	and	and	CCONJ
cana-1240	259	21	geometric	geometric	ADJ
cana-1240	259	22	properties	property	NOUN
cana-1240	259	23	,	,	PUNCT
cana-1240	259	24	such	such	ADJ
cana-1240	259	25	as	as	ADP
cana-1240	259	26	area	area	NOUN
cana-1240	259	27	,	,	PUNCT
cana-1240	259	28	perimeter	perimeter	NOUN
cana-1240	259	29	,	,	PUNCT
cana-1240	259	30	and	and	CCONJ
cana-1240	259	31	eccentricity	eccentricity	NOUN
cana-1240	259	32	.	.	PUNCT
cana-1240	260	1	these	these	DET
cana-1240	260	2	properties	property	NOUN
cana-1240	260	3	offer	offer	VERB
cana-1240	260	4	useful	useful	ADJ
cana-1240	260	5	details	detail	NOUN
cana-1240	260	6	about	about	ADP
cana-1240	260	7	the	the	DET
cana-1240	260	8	size	size	NOUN
cana-1240	260	9	,	,	PUNCT
cana-1240	260	10	shape	shape	NOUN
cana-1240	260	11	,	,	PUNCT
cana-1240	260	12	and	and	CCONJ
cana-1240	260	13	contour	contour	NOUN
cana-1240	260	14	of	of	ADP
cana-1240	260	15	objects	object	NOUN
cana-1240	260	16	,	,	PUNCT
cana-1240	260	17	which	which	PRON
cana-1240	260	18	can	can	AUX
cana-1240	260	19	be	be	AUX
cana-1240	260	20	used	use	VERB
cana-1240	260	21	in	in	ADP
cana-1240	260	22	a	a	DET
cana-1240	260	23	variety	variety	NOUN
cana-1240	260	24	of	of	ADP
cana-1240	260	25	applications	application	NOUN
cana-1240	260	26	.	.	PUNCT
cana-1240	261	1	(	(	PUNCT
cana-1240	261	2	i	i	NOUN
cana-1240	261	3	)	)	PUNCT
cana-1240	261	4	area	area	NOUN
cana-1240	261	5	the	the	DET
cana-1240	261	6	actual	actual	ADJ
cana-1240	261	7	number	number	NOUN
cana-1240	261	8	of	of	ADP
cana-1240	261	9	pixels	pixel	NOUN
cana-1240	261	10	in	in	ADP
cana-1240	261	11	the	the	DET
cana-1240	261	12	image	image	NOUN
cana-1240	261	13	region	region	NOUN
cana-1240	261	14	can	can	AUX
cana-1240	261	15	be	be	AUX
cana-1240	261	16	used	use	VERB
cana-1240	261	17	to	to	PART
cana-1240	261	18	calculate	calculate	VERB
cana-1240	261	19	the	the	DET
cana-1240	261	20	area	area	NOUN
cana-1240	261	21	.	.	PUNCT
cana-1240	262	1	every	every	DET
cana-1240	262	2	pixel	pixel	NOUN
cana-1240	262	3	has	have	VERB
cana-1240	262	4	a	a	DET
cana-1240	262	5	unique	unique	ADJ
cana-1240	262	6	weight	weight	NOUN
cana-1240	262	7	.	.	PUNCT
cana-1240	263	1	this	this	DET
cana-1240	263	2	value	value	NOUN
cana-1240	263	3	deviates	deviate	VERB
cana-1240	263	4	from	from	ADP
cana-1240	263	5	the	the	DET
cana-1240	263	6	binary	binary	ADJ
cana-1240	263	7	image	image	NOUN
cana-1240	263	8	area	area	NOUN
cana-1240	263	9	.	.	PUNCT
cana-1240	264	1	𝐴𝑟𝑒𝑎	𝐴𝑟𝑒𝑎	PROPN
cana-1240	264	2	=	=	PUNCT
cana-1240	264	3	𝜋	𝜋	NOUN
cana-1240	264	4	∗	∗	X
cana-1240	264	5	𝑟𝑎𝑑𝑖𝑢𝑠2	𝑟𝑎𝑑𝑖𝑢𝑠2	NOUN
cana-1240	264	6	(	(	PUNCT
cana-1240	264	7	33	33	NUM
cana-1240	264	8	)	)	PUNCT
cana-1240	264	9	(	(	PUNCT
cana-1240	264	10	ii	ii	NOUN
cana-1240	264	11	)	)	PUNCT
cana-1240	264	12	perimeter	perimeter	NOUN
cana-1240	264	13	the	the	DET
cana-1240	264	14	number	number	NOUN
cana-1240	264	15	of	of	ADP
cana-1240	264	16	pixels	pixel	NOUN
cana-1240	264	17	along	along	ADP
cana-1240	264	18	the	the	DET
cana-1240	264	19	image	image	NOUN
cana-1240	264	20	's	's	PART
cana-1240	264	21	edge	edge	NOUN
cana-1240	264	22	or	or	CCONJ
cana-1240	264	23	margin	margin	NOUN
cana-1240	264	24	can	can	AUX
cana-1240	264	25	be	be	AUX
cana-1240	264	26	used	use	VERB
cana-1240	264	27	to	to	PART
cana-1240	264	28	calculate	calculate	VERB
cana-1240	264	29	the	the	DET
cana-1240	264	30	perimeter	perimeter	NOUN
cana-1240	264	31	.	.	PUNCT
cana-1240	265	1	(	(	PUNCT
cana-1240	265	2	iii	iii	X
cana-1240	265	3	)	)	PUNCT
cana-1240	265	4	circularity	circularity	NOUN
cana-1240	265	5	the	the	DET
cana-1240	265	6	roundness	roundness	NOUN
cana-1240	265	7	or	or	CCONJ
cana-1240	265	8	circularity	circularity	NOUN
cana-1240	265	9	(	(	PUNCT
cana-1240	265	10	area	area	NOUN
cana-1240	265	11	-	-	PUNCT
cana-1240	265	12	to	to	ADP
cana-1240	265	13	-	-	PUNCT
cana-1240	265	14	perimeter	perimeter	NOUN
cana-1240	265	15	ratio	ratio	NOUN
cana-1240	265	16	)	)	PUNCT
cana-1240	265	17	,	,	PUNCT
cana-1240	265	18	which	which	PRON
cana-1240	265	19	removes	remove	VERB
cana-1240	265	20	local	local	ADJ
cana-1240	265	21	irregularities	irregularity	NOUN
cana-1240	265	22	,	,	PUNCT
cana-1240	265	23	can	can	AUX
cana-1240	265	24	be	be	AUX
cana-1240	265	25	found	find	VERB
cana-1240	265	26	by	by	ADP
cana-1240	265	27	dividing	divide	VERB
cana-1240	265	28	an	an	DET
cana-1240	265	29	object	object	NOUN
cana-1240	265	30	's	's	PART
cana-1240	265	31	area	area	NOUN
cana-1240	265	32	by	by	ADP
cana-1240	265	33	the	the	DET
cana-1240	265	34	area	area	NOUN
cana-1240	265	35	of	of	ADP
cana-1240	265	36	a	a	DET
cana-1240	265	37	circle	circle	NOUN
cana-1240	265	38	with	with	ADP
cana-1240	265	39	the	the	DET
cana-1240	265	40	same	same	ADJ
cana-1240	265	41	convex	convex	NOUN
cana-1240	265	42	perimeter	perimeter	NOUN
cana-1240	265	43	.	.	PUNCT
cana-1240	266	1	𝐶𝑖𝑟𝑐𝑢𝑙𝑎𝑟𝑖𝑡𝑦	𝐶𝑖𝑟𝑐𝑢𝑙𝑎𝑟𝑖𝑡𝑦	PROPN
cana-1240	266	2	=	=	PUNCT
cana-1240	267	1	4𝜋.𝑎𝑟𝑒𝑎	4𝜋.𝑎𝑟𝑒𝑎	PROPN
cana-1240	267	2	(	(	PUNCT
cana-1240	267	3	𝑝𝑒𝑟𝑖𝑚𝑒𝑡𝑒𝑟)2	𝑝𝑒𝑟𝑖𝑚𝑒𝑡𝑒𝑟)2	NOUN
cana-1240	267	4	(	(	PUNCT
cana-1240	267	5	34	34	NUM
cana-1240	267	6	)	)	PUNCT
cana-1240	267	7	3.3.2	3.3.2	NUM
cana-1240	267	8	.	.	PUNCT
cana-1240	268	1	geometric	geometric	ADJ
cana-1240	268	2	features	feature	VERB
cana-1240	268	3	the	the	DET
cana-1240	268	4	centroid	centroid	NOUN
cana-1240	268	5	denotes	denote	VERB
cana-1240	268	6	the	the	DET
cana-1240	268	7	centre	centre	NOUN
cana-1240	268	8	of	of	ADP
cana-1240	268	9	mass	mass	PROPN
cana-1240	268	10	,	,	PUNCT
cana-1240	268	11	the	the	DET
cana-1240	268	12	euler	euler	NOUN
cana-1240	268	13	number	number	NOUN
cana-1240	268	14	describes	describe	VERB
cana-1240	268	15	topological	topological	ADJ
cana-1240	268	16	characteristics	characteristic	NOUN
cana-1240	268	17	,	,	PUNCT
cana-1240	268	18	and	and	CCONJ
cana-1240	268	19	convexity	convexity	NOUN
cana-1240	268	20	measures	measure	VERB
cana-1240	268	21	the	the	DET
cana-1240	268	22	degree	degree	NOUN
cana-1240	268	23	of	of	ADP
cana-1240	268	24	concavity	concavity	NOUN
cana-1240	268	25	in	in	ADP
cana-1240	268	26	a	a	DET
cana-1240	268	27	region	region	NOUN
cana-1240	268	28	.	.	PUNCT
cana-1240	269	1	these	these	DET
cana-1240	269	2	geometric	geometric	ADJ
cana-1240	269	3	features	feature	NOUN
cana-1240	269	4	add	add	VERB
cana-1240	269	5	to	to	ADP
cana-1240	269	6	a	a	DET
cana-1240	269	7	more	more	ADV
cana-1240	269	8	comprehensive	comprehensive	ADJ
cana-1240	269	9	understanding	understanding	NOUN
cana-1240	269	10	of	of	ADP
cana-1240	269	11	the	the	DET
cana-1240	269	12	spatial	spatial	ADJ
cana-1240	269	13	relationships	relationship	NOUN
cana-1240	269	14	between	between	ADP
cana-1240	269	15	various	various	ADJ
cana-1240	269	16	tissue	tissue	NOUN
cana-1240	269	17	components	component	NOUN
cana-1240	269	18	.	.	PUNCT
cana-1240	270	1	(	(	PUNCT
cana-1240	270	2	i	i	NOUN
cana-1240	270	3	)	)	PUNCT
cana-1240	270	4	convexity	convexity	NOUN
cana-1240	270	5	:	:	PUNCT
cana-1240	270	6	the	the	DET
cana-1240	270	7	convex	convex	ADJ
cana-1240	270	8	object	object	NOUN
cana-1240	270	9	has	have	VERB
cana-1240	270	10	a	a	DET
cana-1240	270	11	convexity	convexity	NOUN
cana-1240	270	12	value	value	NOUN
cana-1240	270	13	of	of	ADP
cana-1240	270	14	1	1	NUM
cana-1240	270	15	.	.	PUNCT
cana-1240	271	1	any	any	DET
cana-1240	271	2	convex	convex	NOUN
cana-1240	271	3	curve	curve	NOUN
cana-1240	271	4	with	with	ADP
cana-1240	271	5	a	a	DET
cana-1240	271	6	value	value	NOUN
cana-1240	271	7	of	of	ADP
cana-1240	271	8	less	less	ADJ
cana-1240	271	9	than	than	ADP
cana-1240	271	10	one	one	NUM
cana-1240	271	11	with	with	ADP
cana-1240	271	12	respect	respect	NOUN
cana-1240	271	13	to	to	ADP
cana-1240	271	14	the	the	DET
cana-1240	271	15	object	object	NOUN
cana-1240	271	16	is	be	AUX
cana-1240	271	17	regarded	regard	VERB
cana-1240	271	18	as	as	ADP
cana-1240	271	19	having	have	VERB
cana-1240	271	20	an	an	DET
cana-1240	271	21	irregular	irregular	ADJ
cana-1240	271	22	boundary	boundary	NOUN
cana-1240	271	23	.	.	PUNCT
cana-1240	272	1	the	the	DET
cana-1240	272	2	following	follow	VERB
cana-1240	272	3	equation	equation	NOUN
cana-1240	272	4	gives	give	VERB
cana-1240	272	5	the	the	DET
cana-1240	272	6	convexity	convexity	NOUN
cana-1240	272	7	formula	formula	NOUN
cana-1240	272	8	.	.	PUNCT
cana-1240	273	1	𝐶𝑜𝑛𝑣𝑒𝑥𝑖𝑡𝑦	𝐶𝑜𝑛𝑣𝑒𝑥𝑖𝑡𝑦	PROPN
cana-1240	273	2	=	=	SYM
cana-1240	273	3	𝐶𝑜𝑛𝑣𝑒𝑥𝑖𝑡𝑦	𝐶𝑜𝑛𝑣𝑒𝑥𝑖𝑡𝑦	PROPN
cana-1240	273	4	𝑝𝑒𝑟𝑖𝑚𝑒𝑡𝑒𝑟	𝑝𝑒𝑟𝑖𝑚𝑒𝑡𝑒𝑟	VERB
cana-1240	273	5	𝑃𝑒𝑟𝑖𝑚𝑒𝑡𝑒𝑟	𝑃𝑒𝑟𝑖𝑚𝑒𝑡𝑒𝑟	PROPN
cana-1240	273	6	(	(	PUNCT
cana-1240	273	7	35	35	NUM
cana-1240	273	8	)	)	PUNCT
cana-1240	273	9	(	(	PUNCT
cana-1240	273	10	ii	ii	NOUN
cana-1240	273	11	)	)	PUNCT
cana-1240	273	12	euler	euler	NOUN
cana-1240	273	13	number	number	NOUN
cana-1240	273	14	the	the	DET
cana-1240	273	15	euler	euler	NOUN
cana-1240	273	16	number	number	NOUN
cana-1240	273	17	describes	describe	VERB
cana-1240	273	18	the	the	DET
cana-1240	273	19	relationship	relationship	NOUN
cana-1240	273	20	between	between	ADP
cana-1240	273	21	the	the	DET
cana-1240	273	22	number	number	NOUN
cana-1240	273	23	of	of	ADP
cana-1240	273	24	holes	hole	NOUN
cana-1240	273	25	on	on	ADP
cana-1240	273	26	a	a	DET
cana-1240	273	27	shape	shape	NOUN
cana-1240	273	28	and	and	CCONJ
cana-1240	273	29	the	the	DET
cana-1240	273	30	number	number	NOUN
cana-1240	273	31	of	of	ADP
cana-1240	273	32	contiguous	contiguous	ADJ
cana-1240	273	33	parts	part	NOUN
cana-1240	273	34	.	.	PUNCT
cana-1240	274	1	let	let	VERB
cana-1240	274	2	s	s	PRON
cana-1240	274	3	represent	represent	VERB
cana-1240	274	4	the	the	DET
cana-1240	274	5	number	number	NOUN
cana-1240	274	6	of	of	ADP
cana-1240	274	7	adjacent	adjacent	ADJ
cana-1240	274	8	parts	part	NOUN
cana-1240	274	9	and	and	CCONJ
cana-1240	274	10	n	n	PRON
cana-1240	274	11	represent	represent	VERB
cana-1240	274	12	the	the	DET
cana-1240	274	13	number	number	NOUN
cana-1240	274	14	of	of	ADP
cana-1240	274	15	holes	hole	NOUN
cana-1240	274	16	on	on	ADP
cana-1240	274	17	a	a	DET
cana-1240	274	18	shape	shape	NOUN
cana-1240	274	19	.	.	PUNCT
cana-1240	275	1	the	the	DET
cana-1240	275	2	euler	euler	NOUN
cana-1240	275	3	number	number	NOUN
cana-1240	275	4	is	be	AUX
cana-1240	275	5	thus	thus	ADV
cana-1240	275	6	:	:	PUNCT
cana-1240	275	7	communications	communication	NOUN
cana-1240	275	8	on	on	ADP
cana-1240	275	9	applied	apply	VERB
cana-1240	275	10	nonlinear	nonlinear	ADJ
cana-1240	275	11	analysis	analysis	NOUN
cana-1240	275	12	issn	issn	NOUN
cana-1240	275	13	:	:	PUNCT
cana-1240	275	14	1074	1074	NUM
cana-1240	275	15	-	-	PUNCT
cana-1240	275	16	133x	133x	NUM
cana-1240	275	17	vol	vol	NOUN
cana-1240	275	18	31	31	NUM
cana-1240	275	19	no	no	NOUN
cana-1240	275	20	.	.	PUNCT
cana-1240	276	1	6s	6s	NUM
cana-1240	276	2	(	(	PUNCT
cana-1240	276	3	2024	2024	NUM
cana-1240	276	4	)	)	PUNCT
cana-1240	276	5	512	512	NUM
cana-1240	276	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1240	276	7	𝐸𝑢𝑙	𝐸𝑢𝑙	PROPN
cana-1240	276	8	=	=	SYM
cana-1240	276	9	𝑆	𝑆	PROPN
cana-1240	276	10	−	−	PROPN
cana-1240	276	11	𝑁	𝑁	PROPN
cana-1240	276	12	(	(	PUNCT
cana-1240	276	13	36	36	NUM
cana-1240	276	14	)	)	PUNCT
cana-1240	276	15	(	(	PUNCT
cana-1240	276	16	iii	iii	X
cana-1240	276	17	)	)	PUNCT
cana-1240	276	18	convexity	convexity	NOUN
cana-1240	276	19	convexity	convexity	NOUN
cana-1240	276	20	quantifies	quantifie	NOUN
cana-1240	276	21	how	how	SCONJ
cana-1240	276	22	"	"	PUNCT
cana-1240	276	23	rounded	rounded	ADJ
cana-1240	276	24	"	"	PUNCT
cana-1240	276	25	or	or	CCONJ
cana-1240	276	26	"	"	PUNCT
cana-1240	276	27	convex	convex	NOUN
cana-1240	276	28	"	"	PUNCT
cana-1240	276	29	a	a	DET
cana-1240	276	30	shape	shape	NOUN
cana-1240	276	31	is	be	AUX
cana-1240	276	32	.	.	PUNCT
cana-1240	277	1	the	the	DET
cana-1240	277	2	smallest	small	ADJ
cana-1240	277	3	convex	convex	NOUN
cana-1240	277	4	shape	shape	NOUN
cana-1240	277	5	enclosing	enclose	VERB
cana-1240	277	6	an	an	DET
cana-1240	277	7	object	object	NOUN
cana-1240	277	8	is	be	AUX
cana-1240	277	9	its	its	PRON
cana-1240	277	10	convex	convex	NOUN
cana-1240	277	11	hull	hull	NOUN
cana-1240	277	12	.	.	PUNCT
cana-1240	278	1	the	the	DET
cana-1240	278	2	area	area	NOUN
cana-1240	278	3	of	of	ADP
cana-1240	278	4	the	the	DET
cana-1240	278	5	convex	convex	PROPN
cana-1240	278	6	hull	hull	NOUN
cana-1240	278	7	divided	divide	VERB
cana-1240	278	8	by	by	ADP
cana-1240	278	9	the	the	DET
cana-1240	278	10	area	area	NOUN
cana-1240	278	11	of	of	ADP
cana-1240	278	12	the	the	DET
cana-1240	278	13	object	object	NOUN
cana-1240	278	14	is	be	AUX
cana-1240	278	15	known	know	VERB
cana-1240	278	16	as	as	ADP
cana-1240	278	17	the	the	DET
cana-1240	278	18	convexity	convexity	NOUN
cana-1240	278	19	.	.	PUNCT
cana-1240	279	1	the	the	DET
cana-1240	279	2	convexity	convexity	NOUN
cana-1240	279	3	of	of	ADP
cana-1240	279	4	an	an	DET
cana-1240	279	5	object	object	NOUN
cana-1240	279	6	that	that	PRON
cana-1240	279	7	is	be	AUX
cana-1240	279	8	perfectly	perfectly	ADV
cana-1240	279	9	convex	convex	ADJ
cana-1240	279	10	is	be	AUX
cana-1240	279	11	1	1	NUM
cana-1240	279	12	.	.	X
cana-1240	279	13	3.3.3	3.3.3	NUM
cana-1240	279	14	.	.	PUNCT
cana-1240	280	1	colour	colour	NOUN
cana-1240	280	2	features	feature	NOUN
cana-1240	280	3	analysing	analyse	VERB
cana-1240	280	4	pixel	pixel	PROPN
cana-1240	280	5	intensities	intensity	NOUN
cana-1240	280	6	and	and	CCONJ
cana-1240	280	7	the	the	DET
cana-1240	280	8	position	position	NOUN
cana-1240	280	9	within	within	ADP
cana-1240	280	10	medical	medical	ADJ
cana-1240	280	11	image	image	NOUN
cana-1240	280	12	datasets	dataset	NOUN
cana-1240	280	13	is	be	AUX
cana-1240	280	14	necessary	necessary	ADJ
cana-1240	280	15	for	for	ADP
cana-1240	280	16	color	color	NOUN
cana-1240	280	17	features	feature	NOUN
cana-1240	280	18	.	.	PUNCT
cana-1240	281	1	a	a	DET
cana-1240	281	2	quantitative	quantitative	ADJ
cana-1240	281	3	depiction	depiction	NOUN
cana-1240	281	4	of	of	ADP
cana-1240	281	5	pixel	pixel	PROPN
cana-1240	281	6	intensities	intensity	NOUN
cana-1240	281	7	across	across	ADP
cana-1240	281	8	various	various	ADJ
cana-1240	281	9	color	color	NOUN
cana-1240	281	10	channels	channel	NOUN
cana-1240	281	11	is	be	AUX
cana-1240	281	12	offered	offer	VERB
cana-1240	281	13	by	by	ADP
cana-1240	281	14	histograms	histogram	NOUN
cana-1240	281	15	.	.	PUNCT
cana-1240	282	1	this	this	DET
cana-1240	282	2	method	method	NOUN
cana-1240	282	3	is	be	AUX
cana-1240	282	4	essential	essential	ADJ
cana-1240	282	5	for	for	ADP
cana-1240	282	6	identifying	identify	VERB
cana-1240	282	7	color	color	NOUN
cana-1240	282	8	changes	change	NOUN
cana-1240	282	9	in	in	ADP
cana-1240	282	10	tissue	tissue	NOUN
cana-1240	282	11	,	,	PUNCT
cana-1240	282	12	which	which	PRON
cana-1240	282	13	may	may	AUX
cana-1240	282	14	be	be	AUX
cana-1240	282	15	a	a	DET
cana-1240	282	16	sign	sign	NOUN
cana-1240	282	17	of	of	ADP
cana-1240	282	18	abnormalities	abnormality	NOUN
cana-1240	282	19	.	.	PUNCT
cana-1240	283	1	3.3.4	3.3.4	X
cana-1240	283	2	.	.	PUNCT
cana-1240	283	3	texture	texture	NOUN
cana-1240	283	4	features	feature	VERB
cana-1240	283	5	texture	texture	NOUN
cana-1240	283	6	features	feature	NOUN
cana-1240	283	7	highlight	highlight	VERB
cana-1240	283	8	the	the	DET
cana-1240	283	9	smaller	small	ADJ
cana-1240	283	10	details	detail	NOUN
cana-1240	283	11	in	in	ADP
cana-1240	283	12	the	the	DET
cana-1240	283	13	images	image	NOUN
cana-1240	283	14	,	,	PUNCT
cana-1240	283	15	bringing	bring	VERB
cana-1240	283	16	to	to	ADP
cana-1240	283	17	light	light	ADJ
cana-1240	283	18	patterns	pattern	NOUN
cana-1240	283	19	that	that	SCONJ
cana-1240	283	20	the	the	DET
cana-1240	283	21	naked	naked	ADJ
cana-1240	283	22	eye	eye	NOUN
cana-1240	283	23	might	might	AUX
cana-1240	283	24	miss	miss	VERB
cana-1240	283	25	.	.	PUNCT
cana-1240	284	1	techniques	technique	NOUN
cana-1240	284	2	that	that	PRON
cana-1240	284	3	are	be	AUX
cana-1240	284	4	excellent	excellent	ADJ
cana-1240	284	5	at	at	ADP
cana-1240	284	6	identifying	identify	VERB
cana-1240	284	7	minute	minute	NOUN
cana-1240	284	8	differences	difference	NOUN
cana-1240	284	9	in	in	ADP
cana-1240	284	10	texture	texture	NOUN
cana-1240	284	11	are	be	AUX
cana-1240	284	12	local	local	ADJ
cana-1240	284	13	directional	directional	ADJ
cana-1240	284	14	patterns	pattern	NOUN
cana-1240	284	15	(	(	PUNCT
cana-1240	284	16	ldp	ldp	PROPN
cana-1240	284	17	)	)	PUNCT
cana-1240	284	18	and	and	CCONJ
cana-1240	284	19	gabor	gabor	PROPN
cana-1240	284	20	local	local	ADJ
cana-1240	284	21	binary	binary	NOUN
cana-1240	284	22	patterns	pattern	NOUN
cana-1240	284	23	(	(	PUNCT
cana-1240	284	24	glbp	glbp	PROPN
cana-1240	284	25	)	)	PUNCT
cana-1240	284	26	.	.	PUNCT
cana-1240	285	1	local	local	ADJ
cana-1240	285	2	texture	texture	NOUN
cana-1240	285	3	patterns	pattern	NOUN
cana-1240	285	4	are	be	AUX
cana-1240	285	5	characterized	characterize	VERB
cana-1240	285	6	by	by	ADP
cana-1240	285	7	ldp	ldp	PROPN
cana-1240	285	8	using	use	VERB
cana-1240	285	9	directional	directional	ADJ
cana-1240	285	10	information	information	NOUN
cana-1240	285	11	,	,	PUNCT
cana-1240	285	12	whereas	whereas	SCONJ
cana-1240	285	13	glbp	glbp	ADJ
cana-1240	285	14	combines	combine	VERB
cana-1240	285	15	binary	binary	ADJ
cana-1240	285	16	pattern	pattern	NOUN
cana-1240	285	17	encoding	encoding	NOUN
cana-1240	285	18	and	and	CCONJ
cana-1240	285	19	gabor	gabor	PROPN
cana-1240	285	20	filtering	filtering	PROPN
cana-1240	285	21	.	.	PUNCT
cana-1240	286	1	(	(	PUNCT
cana-1240	286	2	i	i	NOUN
cana-1240	286	3	)	)	PUNCT
cana-1240	286	4	local	local	ADJ
cana-1240	286	5	directional	directional	ADJ
cana-1240	286	6	pattern	pattern	NOUN
cana-1240	286	7	the	the	DET
cana-1240	286	8	local	local	ADJ
cana-1240	286	9	directional	directional	ADJ
cana-1240	286	10	pattern	pattern	NOUN
cana-1240	286	11	(	(	PUNCT
cana-1240	286	12	ldp	ldp	PROPN
cana-1240	286	13	)	)	PUNCT
cana-1240	286	14	technique	technique	NOUN
cana-1240	286	15	fared	fare	VERB
cana-1240	286	16	better	well	ADJ
cana-1240	286	17	than	than	ADP
cana-1240	286	18	the	the	DET
cana-1240	286	19	lbp	lbp	NOUN
cana-1240	286	20	technique	technique	NOUN
cana-1240	286	21	.	.	PUNCT
cana-1240	287	1	compared	compare	VERB
cana-1240	287	2	to	to	ADP
cana-1240	287	3	lbp	lbp	PROPN
cana-1240	287	4	,	,	PUNCT
cana-1240	287	5	ldp	ldp	PROPN
cana-1240	287	6	is	be	AUX
cana-1240	287	7	more	more	ADV
cana-1240	287	8	resilient	resilient	ADJ
cana-1240	287	9	to	to	PART
cana-1240	287	10	noise	noise	NOUN
cana-1240	287	11	and	and	CCONJ
cana-1240	287	12	non	non	ADJ
cana-1240	287	13	-	-	ADJ
cana-1240	287	14	monotonic	monotonic	ADJ
cana-1240	287	15	variations	variation	NOUN
cana-1240	287	16	in	in	ADP
cana-1240	287	17	illumination	illumination	NOUN
cana-1240	287	18	because	because	SCONJ
cana-1240	287	19	it	it	PRON
cana-1240	287	20	relies	rely	VERB
cana-1240	287	21	on	on	ADP
cana-1240	287	22	edge	edge	NOUN
cana-1240	287	23	responses	response	NOUN
cana-1240	287	24	,	,	PUNCT
cana-1240	287	25	which	which	PRON
cana-1240	287	26	are	be	AUX
cana-1240	287	27	more	more	ADV
cana-1240	287	28	stable	stable	ADJ
cana-1240	287	29	than	than	ADP
cana-1240	287	30	intensity	intensity	NOUN
cana-1240	287	31	values	value	NOUN
cana-1240	287	32	.	.	PUNCT
cana-1240	288	1	the	the	DET
cana-1240	288	2	ldp	ldp	PROPN
cana-1240	288	3	determines	determine	VERB
cana-1240	288	4	the	the	DET
cana-1240	288	5	pixel	pixel	PROPN
cana-1240	288	6	's	's	PART
cana-1240	288	7	eightdirectional	eightdirectional	ADJ
cana-1240	288	8	edge	edge	NOUN
cana-1240	288	9	responses	response	NOUN
cana-1240	288	10	in	in	ADP
cana-1240	288	11	each	each	DET
cana-1240	288	12	direction	direction	NOUN
cana-1240	288	13	.	.	PUNCT
cana-1240	289	1	a	a	DET
cana-1240	289	2	high	high	ADJ
cana-1240	289	3	edge	edge	NOUN
cana-1240	289	4	response	response	NOUN
cana-1240	289	5	value	value	NOUN
cana-1240	289	6	in	in	ADP
cana-1240	289	7	either	either	DET
cana-1240	289	8	direction	direction	NOUN
cana-1240	289	9	would	would	AUX
cana-1240	289	10	suggest	suggest	VERB
cana-1240	289	11	the	the	DET
cana-1240	289	12	existence	existence	NOUN
cana-1240	289	13	of	of	ADP
cana-1240	289	14	an	an	DET
cana-1240	289	15	edge	edge	NOUN
cana-1240	289	16	.	.	PUNCT
cana-1240	290	1	therefore	therefore	ADV
cana-1240	290	2	,	,	PUNCT
cana-1240	290	3	the	the	DET
cana-1240	290	4	most	most	ADV
cana-1240	290	5	prominent	prominent	ADJ
cana-1240	290	6	directions	direction	NOUN
cana-1240	290	7	are	be	AUX
cana-1240	290	8	encoded	encode	VERB
cana-1240	290	9	using	use	VERB
cana-1240	290	10	the	the	DET
cana-1240	290	11	top𝑘	top𝑘	PROPN
cana-1240	290	12	directional	directional	ADJ
cana-1240	290	13	bit	bit	NOUN
cana-1240	290	14	responses.the	responses.the	DET
cana-1240	290	15	top	top	ADJ
cana-1240	290	16	-	-	PUNCT
cana-1240	290	17	directional	directional	ADJ
cana-1240	290	18	bits	bit	NOUN
cana-1240	290	19	are	be	AUX
cana-1240	290	20	assigned	assign	VERB
cana-1240	290	21	a	a	DET
cana-1240	290	22	value	value	NOUN
cana-1240	290	23	of	of	ADP
cana-1240	290	24	"	"	PUNCT
cana-1240	290	25	1	1	NUM
cana-1240	290	26	,	,	PUNCT
cana-1240	290	27	"	"	PUNCT
cana-1240	290	28	while	while	SCONJ
cana-1240	290	29	the	the	DET
cana-1240	290	30	remaining	remain	VERB
cana-1240	290	31	bits	bit	NOUN
cana-1240	290	32	are	be	AUX
cana-1240	290	33	allocated	allocate	VERB
cana-1240	290	34	a	a	DET
cana-1240	290	35	value	value	NOUN
cana-1240	290	36	of	of	ADP
cana-1240	290	37	"	"	PUNCT
cana-1240	290	38	0."for	0."for	NUM
cana-1240	290	39	each	each	DET
cana-1240	290	40	pixel	pixel	NOUN
cana-1240	290	41	,	,	PUNCT
cana-1240	290	42	the	the	DET
cana-1240	290	43	ldp	ldp	PROPN
cana-1240	290	44	code	code	NOUN
cana-1240	290	45	is	be	AUX
cana-1240	290	46	as	as	SCONJ
cana-1240	290	47	follows	follow	VERB
cana-1240	290	48	:	:	PUNCT
cana-1240	290	49	𝐿𝐷𝑃𝑘	𝐿𝐷𝑃𝑘	PROPN
cana-1240	290	50	=	=	SYM
cana-1240	290	51	∑	∑	PUNCT
cana-1240	290	52	𝑏𝑖(𝑚𝑖	𝑏𝑖(𝑚𝑖	PROPN
cana-1240	290	53	−	−	PROPN
cana-1240	290	54	𝑚𝑘	𝑚𝑘	ADJ
cana-1240	290	55	)	)	PUNCT
cana-1240	290	56	7	7	NUM
cana-1240	291	1	𝑖=0	𝑖=0	PROPN
cana-1240	291	2	∗	∗	NOUN
cana-1240	291	3	2𝑖	2𝑖	NUM
cana-1240	291	4	,	,	PUNCT
cana-1240	291	5	𝑏𝑖(𝑥	𝑏𝑖(𝑥	NUM
cana-1240	291	6	)	)	PUNCT
cana-1240	291	7	(	(	PUNCT
cana-1240	291	8	37	37	NUM
cana-1240	291	9	)	)	PUNCT
cana-1240	291	10	where	where	SCONJ
cana-1240	291	11	𝑚𝑘	𝑚𝑘	PUNCT
cana-1240	291	12	represents	represent	VERB
cana-1240	291	13	the	the	DET
cana-1240	291	14	directional	directional	ADJ
cana-1240	291	15	response	response	NOUN
cana-1240	291	16	that	that	PRON
cana-1240	291	17	is	be	AUX
cana-1240	291	18	𝑘-th	𝑘-th	ADJ
cana-1240	291	19	most	most	ADV
cana-1240	291	20	significant	significant	ADJ
cana-1240	291	21	.	.	PUNCT
cana-1240	292	1	(	(	PUNCT
cana-1240	292	2	ii	ii	NOUN
cana-1240	292	3	)	)	PUNCT
cana-1240	292	4	glbp	glbp	VERB
cana-1240	292	5	the	the	DET
cana-1240	292	6	local	local	ADJ
cana-1240	292	7	binary	binary	ADJ
cana-1240	292	8	pattern	pattern	NOUN
cana-1240	292	9	(	(	PUNCT
cana-1240	292	10	lbp	lbp	NOUN
cana-1240	292	11	)	)	PUNCT
cana-1240	292	12	descriptor	descriptor	NOUN
cana-1240	292	13	,	,	PUNCT
cana-1240	292	14	a	a	DET
cana-1240	292	15	grayscale	grayscale	NOUN
cana-1240	292	16	invariant	invariant	ADJ
cana-1240	292	17	measure	measure	NOUN
cana-1240	292	18	based	base	VERB
cana-1240	292	19	on	on	ADP
cana-1240	292	20	an	an	DET
cana-1240	292	21	overall	overall	ADJ
cana-1240	292	22	description	description	NOUN
cana-1240	292	23	of	of	ADP
cana-1240	292	24	the	the	DET
cana-1240	292	25	texture	texture	NOUN
cana-1240	292	26	in	in	ADP
cana-1240	292	27	a	a	DET
cana-1240	292	28	local	local	ADJ
cana-1240	292	29	neighborhood	neighborhood	NOUN
cana-1240	292	30	,	,	PUNCT
cana-1240	292	31	is	be	AUX
cana-1240	292	32	a	a	DET
cana-1240	292	33	quick	quick	ADJ
cana-1240	292	34	and	and	CCONJ
cana-1240	292	35	easy	easy	ADJ
cana-1240	292	36	way	way	NOUN
cana-1240	292	37	to	to	PART
cana-1240	292	38	represent	represent	VERB
cana-1240	292	39	texture	texture	NOUN
cana-1240	292	40	characteristics.the	characteristics.the	PRON
cana-1240	292	41	process	process	NOUN
cana-1240	292	42	involves	involve	VERB
cana-1240	292	43	establishing	establish	VERB
cana-1240	292	44	two	two	NUM
cana-1240	292	45	parameters	parameter	NOUN
cana-1240	292	46	:	:	PUNCT
cana-1240	292	47	𝑅	𝑅	PROPN
cana-1240	292	48	and	and	CCONJ
cana-1240	292	49	𝑃.	𝑃.	PROPN
cana-1240	292	50	𝑅	𝑅	PROPN
cana-1240	292	51	stands	stand	VERB
cana-1240	292	52	for	for	ADP
cana-1240	292	53	the	the	DET
cana-1240	292	54	radius	radius	NOUN
cana-1240	292	55	(	(	PUNCT
cana-1240	292	56	distance	distance	NOUN
cana-1240	292	57	)	)	PUNCT
cana-1240	292	58	measured	measure	VERB
cana-1240	292	59	from	from	ADP
cana-1240	292	60	the	the	DET
cana-1240	292	61	source	source	NOUN
cana-1240	292	62	pixel	pixel	NOUN
cana-1240	292	63	,	,	PUNCT
cana-1240	292	64	and	and	CCONJ
cana-1240	292	65	𝑃	𝑃	NOUN
cana-1240	292	66	is	be	AUX
cana-1240	292	67	the	the	DET
cana-1240	292	68	number	number	NOUN
cana-1240	292	69	of	of	ADP
cana-1240	292	70	neighbors	neighbor	NOUN
cana-1240	292	71	used	use	VERB
cana-1240	292	72	to	to	PART
cana-1240	292	73	compute	compute	VERB
cana-1240	292	74	lbp	lbp	PROPN
cana-1240	292	75	.	.	PUNCT
cana-1240	293	1	𝐿𝐵𝑃𝑃,𝑅(𝑥𝐶	𝐿𝐵𝑃𝑃,𝑅(𝑥𝐶	PROPN
cana-1240	293	2	,	,	PUNCT
cana-1240	293	3	𝑦𝐶	𝑦𝐶	NUM
cana-1240	293	4	)	)	PUNCT
cana-1240	293	5	=	=	PUNCT
cana-1240	293	6	∑	∑	PUNCT
cana-1240	293	7	𝑠(𝑔𝑝	𝑠(𝑔𝑝	PROPN
cana-1240	293	8	−	−	PROPN
cana-1240	293	9	𝑔𝑐)2	𝑔𝑐)2	PROPN
cana-1240	293	10	𝑃𝑃−1	𝑃𝑃−1	VERB
cana-1240	293	11	𝑃=0	𝑃=0	PROPN
cana-1240	293	12	(	(	PUNCT
cana-1240	293	13	38	38	NUM
cana-1240	293	14	)	)	PUNCT
cana-1240	293	15	where	where	SCONJ
cana-1240	293	16	𝑥𝐶	𝑥𝐶	ADJ
cana-1240	293	17	and	and	CCONJ
cana-1240	293	18	𝑦𝐶	𝑦𝐶	PROPN
cana-1240	293	19	represent	represent	VERB
cana-1240	293	20	the	the	DET
cana-1240	293	21	location	location	NOUN
cana-1240	293	22	of	of	ADP
cana-1240	293	23	the	the	DET
cana-1240	293	24	interest	interest	NOUN
cana-1240	293	25	pixel	pixel	NOUN
cana-1240	293	26	in	in	ADP
cana-1240	293	27	the	the	DET
cana-1240	293	28	image	image	NOUN
cana-1240	293	29	.	.	PUNCT
cana-1240	294	1	the	the	DET
cana-1240	294	2	central	central	ADJ
cana-1240	294	3	pixel	pixel	PROPN
cana-1240	294	4	value	value	NOUN
cana-1240	294	5	is	be	AUX
cana-1240	294	6	indicated	indicate	VERB
cana-1240	294	7	by	by	ADP
cana-1240	294	8	𝑔𝑝.𝑔𝑐	𝑔𝑝.𝑔𝑐	PROPN
cana-1240	294	9	denotes	denote	NOUN
cana-1240	294	10	the	the	DET
cana-1240	294	11	value	value	NOUN
cana-1240	294	12	of	of	ADP
cana-1240	294	13	the	the	DET
cana-1240	294	14	central	central	ADJ
cana-1240	294	15	pixel	pixel	PROPN
cana-1240	294	16	's	's	PART
cana-1240	294	17	circular	circular	ADJ
cana-1240	294	18	neighbors	neighbor	NOUN
cana-1240	294	19	,	,	PUNCT
cana-1240	294	20	and	and	CCONJ
cana-1240	294	21	2𝑃	2𝑃	NOUN
cana-1240	294	22	denotes	denote	VERB
cana-1240	294	23	the	the	DET
cana-1240	294	24	weight	weight	NOUN
cana-1240	294	25	given	give	VERB
cana-1240	294	26	to	to	ADP
cana-1240	294	27	each	each	DET
cana-1240	294	28	operation	operation	NOUN
cana-1240	294	29	between	between	ADP
cana-1240	294	30	the	the	DET
cana-1240	294	31	neighbor	neighbor	NOUN
cana-1240	294	32	and	and	CCONJ
cana-1240	294	33	the	the	DET
cana-1240	294	34	central	central	ADJ
cana-1240	294	35	pixel	pixel	NOUN
cana-1240	294	36	.	.	PUNCT
cana-1240	295	1	finally	finally	ADV
cana-1240	295	2	,	,	PUNCT
cana-1240	295	3	values	value	NOUN
cana-1240	295	4	of	of	ADP
cana-1240	295	5	1	1	NUM
cana-1240	295	6	and	and	CCONJ
cana-1240	295	7	0	0	NUM
cana-1240	295	8	are	be	AUX
cana-1240	295	9	assigned	assign	VERB
cana-1240	295	10	to	to	ADP
cana-1240	295	11	𝑠(𝑔𝑝	𝑠(𝑔𝑝	X
cana-1240	295	12	−	−	PROPN
cana-1240	295	13	𝑔𝑐	𝑔𝑐	NOUN
cana-1240	295	14	)	)	PUNCT
cana-1240	295	15	.	.	PUNCT
cana-1240	296	1	communications	communication	NOUN
cana-1240	296	2	on	on	ADP
cana-1240	296	3	applied	apply	VERB
cana-1240	296	4	nonlinear	nonlinear	ADJ
cana-1240	296	5	analysis	analysis	NOUN
cana-1240	296	6	issn	issn	NOUN
cana-1240	296	7	:	:	PUNCT
cana-1240	296	8	1074	1074	NUM
cana-1240	296	9	-	-	PUNCT
cana-1240	296	10	133x	133x	NUM
cana-1240	296	11	vol	vol	NOUN
cana-1240	296	12	31	31	NUM
cana-1240	296	13	no	no	NOUN
cana-1240	296	14	.	.	PUNCT
cana-1240	297	1	6s	6s	NUM
cana-1240	297	2	(	(	PUNCT
cana-1240	297	3	2024	2024	NUM
cana-1240	297	4	)	)	PUNCT
cana-1240	297	5	513	513	NUM
cana-1240	297	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1240	297	7	the	the	DET
cana-1240	297	8	gabor	gabor	PROPN
cana-1240	297	9	filter	filter	PROPN
cana-1240	297	10	uses	use	VERB
cana-1240	297	11	particular	particular	ADJ
cana-1240	297	12	trignometric	trignometric	ADJ
cana-1240	297	13	operations	operation	NOUN
cana-1240	297	14	to	to	PART
cana-1240	297	15	extract	extract	VERB
cana-1240	297	16	data	datum	NOUN
cana-1240	297	17	at	at	ADP
cana-1240	297	18	various	various	ADJ
cana-1240	297	19	orientations	orientation	NOUN
cana-1240	297	20	in	in	ADP
cana-1240	297	21	order	order	NOUN
cana-1240	297	22	to	to	PART
cana-1240	297	23	gather	gather	VERB
cana-1240	297	24	texture	texture	ADJ
cana-1240	297	25	information	information	NOUN
cana-1240	297	26	from	from	ADP
cana-1240	297	27	an	an	DET
cana-1240	297	28	image.in	image.in	NUM
cana-1240	297	29	terms	term	NOUN
cana-1240	297	30	of	of	ADP
cana-1240	297	31	trignometric	trignometric	ADJ
cana-1240	297	32	functions	function	NOUN
cana-1240	297	33	of	of	ADP
cana-1240	297	34	𝜃	𝜃	NOUN
cana-1240	297	35	,	,	PUNCT
cana-1240	297	36	a	a	DET
cana-1240	297	37	pair	pair	NOUN
cana-1240	297	38	of	of	ADP
cana-1240	297	39	tuples	tuple	NOUN
cana-1240	297	40	of	of	ADP
cana-1240	297	41	data	datum	NOUN
cana-1240	297	42	indicating	indicate	VERB
cana-1240	297	43	𝑥	𝑥	PROPN
cana-1240	297	44	and	and	CCONJ
cana-1240	297	45	𝑦	𝑦	NOUN
cana-1240	297	46	is	be	AUX
cana-1240	297	47	the	the	DET
cana-1240	297	48	definition	definition	NOUN
cana-1240	297	49	of	of	ADP
cana-1240	297	50	the	the	DET
cana-1240	297	51	gabor	gabor	PROPN
cana-1240	297	52	𝐺	𝐺	PROPN
cana-1240	297	53	,	,	PUNCT
cana-1240	297	54	which	which	PRON
cana-1240	297	55	stand	stand	VERB
cana-1240	297	56	for	for	ADP
cana-1240	297	57	the	the	DET
cana-1240	297	58	axis	axis	NOUN
cana-1240	297	59	that	that	SCONJ
cana-1240	297	60	the	the	DET
cana-1240	297	61	texture	texture	NOUN
cana-1240	297	62	data	datum	NOUN
cana-1240	297	63	is	be	AUX
cana-1240	297	64	oriented	orient	VERB
cana-1240	297	65	along.the	along.the	DET
cana-1240	297	66	gabor	gabor	NOUN
cana-1240	297	67	filter	filter	NOUN
cana-1240	297	68	has	have	VERB
cana-1240	297	69	a	a	DET
cana-1240	297	70	filter	filter	NOUN
cana-1240	297	71	coefficient	coefficient	NOUN
cana-1240	297	72	that	that	PRON
cana-1240	297	73	filters	filter	VERB
cana-1240	297	74	an	an	DET
cana-1240	297	75	image	image	NOUN
cana-1240	297	76	's	's	PART
cana-1240	297	77	spatial	spatial	ADJ
cana-1240	297	78	coordinates	coordinate	NOUN
cana-1240	297	79	at	at	ADP
cana-1240	297	80	various	various	ADJ
cana-1240	297	81	angles	angle	NOUN
cana-1240	297	82	between	between	ADP
cana-1240	297	83	0	0	NUM
cana-1240	297	84	and	and	CCONJ
cana-1240	297	85	2𝜋.	2𝜋.	NUM
cana-1240	297	86	𝑔(𝑥	𝑔(𝑥	PROPN
cana-1240	297	87	,	,	PUNCT
cana-1240	297	88	𝑦	𝑦	NOUN
cana-1240	297	89	,	,	PUNCT
cana-1240	297	90	𝜃	𝜃	NOUN
cana-1240	297	91	,	,	PUNCT
cana-1240	297	92	𝜉	𝜉	NOUN
cana-1240	297	93	)	)	PUNCT
cana-1240	297	94	=	=	SYM
cana-1240	297	95	𝐼(𝑥	𝐼(𝑥	PROPN
cana-1240	297	96	,	,	PUNCT
cana-1240	297	97	𝑦)𝑊(𝑥	𝑦)𝑊(𝑥	PROPN
cana-1240	297	98	,	,	PUNCT
cana-1240	297	99	𝑦	𝑦	NOUN
cana-1240	297	100	)	)	PUNCT
cana-1240	297	101	+	+	NOUN
cana-1240	298	1	𝜃	𝜃	X
cana-1240	298	2	+	+	NUM
cana-1240	298	3	𝜉	𝜉	X
cana-1240	298	4	(	(	PUNCT
cana-1240	298	5	39	39	NUM
cana-1240	298	6	)	)	PUNCT
cana-1240	298	7	where	where	SCONJ
cana-1240	298	8	an	an	DET
cana-1240	298	9	object	object	NOUN
cana-1240	298	10	's	's	PART
cana-1240	298	11	edges	edge	NOUN
cana-1240	298	12	and	and	CCONJ
cana-1240	298	13	boundaries	boundary	NOUN
cana-1240	298	14	in	in	ADP
cana-1240	298	15	an	an	DET
cana-1240	298	16	image	image	NOUN
cana-1240	298	17	are	be	AUX
cana-1240	298	18	described	describe	VERB
cana-1240	298	19	by	by	ADP
cana-1240	298	20	a	a	DET
cana-1240	298	21	scalar	scalar	ADJ
cana-1240	298	22	variable	variable	NOUN
cana-1240	298	23	,	,	PUNCT
cana-1240	298	24	𝜃.	𝜃.	ADP
cana-1240	298	25	an	an	DET
cana-1240	298	26	image	image	NOUN
cana-1240	298	27	with	with	ADP
cana-1240	298	28	spatial	spatial	ADJ
cana-1240	298	29	coordinates	coordinate	NOUN
cana-1240	298	30	is	be	AUX
cana-1240	298	31	denoted	denote	VERB
cana-1240	298	32	by	by	ADP
cana-1240	298	33	𝐼(𝑥	𝐼(𝑥	PROPN
cana-1240	298	34	,	,	PUNCT
cana-1240	298	35	𝑦	𝑦	NOUN
cana-1240	298	36	)	)	PUNCT
cana-1240	298	37	,	,	PUNCT
cana-1240	298	38	and	and	CCONJ
cana-1240	298	39	the	the	DET
cana-1240	298	40	filter	filter	NOUN
cana-1240	298	41	coefficients	coefficient	NOUN
cana-1240	298	42	𝑊(𝑥	𝑊(𝑥	NOUN
cana-1240	298	43	,	,	PUNCT
cana-1240	298	44	𝑦	𝑦	NUM
cana-1240	298	45	)	)	PUNCT
cana-1240	298	46	are	be	AUX
cana-1240	298	47	employed	employ	VERB
cana-1240	298	48	to	to	PART
cana-1240	298	49	filter	filter	VERB
cana-1240	298	50	the	the	DET
cana-1240	298	51	intensities	intensity	NOUN
cana-1240	298	52	at	at	ADP
cana-1240	298	53	each	each	DET
cana-1240	298	54	pixel	pixel	NOUN
cana-1240	298	55	in	in	ADP
cana-1240	298	56	relation	relation	NOUN
cana-1240	298	57	to	to	ADP
cana-1240	298	58	the	the	DET
cana-1240	298	59	weights	weight	NOUN
cana-1240	298	60	allocated	allocate	VERB
cana-1240	298	61	to	to	ADP
cana-1240	298	62	it.the	it.the	PROPN
cana-1240	298	63	parameters	parameter	NOUN
cana-1240	298	64	𝜃	𝜃	NOUN
cana-1240	298	65	and	and	CCONJ
cana-1240	298	66	𝜉	𝜉	NOUN
cana-1240	298	67	are	be	AUX
cana-1240	298	68	used	use	VERB
cana-1240	298	69	to	to	PART
cana-1240	298	70	extract	extract	VERB
cana-1240	298	71	fine	fine	ADV
cana-1240	298	72	-	-	PUNCT
cana-1240	298	73	grained	grain	VERB
cana-1240	298	74	,	,	PUNCT
cana-1240	298	75	detailed	detailed	ADJ
cana-1240	298	76	information	information	NOUN
cana-1240	298	77	from	from	ADP
cana-1240	298	78	images	image	NOUN
cana-1240	298	79	at	at	ADP
cana-1240	298	80	various	various	ADJ
cana-1240	298	81	angles	angle	NOUN
cana-1240	298	82	of	of	ADP
cana-1240	298	83	edges	edge	NOUN
cana-1240	298	84	and	and	CCONJ
cana-1240	298	85	boundaries	boundary	NOUN
cana-1240	298	86	oriented	orient	VERB
cana-1240	298	87	within	within	ADP
cana-1240	298	88	images	image	NOUN
cana-1240	298	89	,	,	PUNCT
cana-1240	298	90	respectively	respectively	ADV
cana-1240	298	91	.	.	PUNCT
cana-1240	299	1	𝜉	𝜉	PROPN
cana-1240	299	2	is	be	AUX
cana-1240	299	3	used	use	VERB
cana-1240	299	4	to	to	PART
cana-1240	299	5	acquire	acquire	VERB
cana-1240	299	6	textured	textured	ADJ
cana-1240	299	7	data	datum	NOUN
cana-1240	299	8	with	with	ADP
cana-1240	299	9	greater	great	ADJ
cana-1240	299	10	detail	detail	NOUN
cana-1240	299	11	.	.	PUNCT
cana-1240	300	1	as	as	SCONJ
cana-1240	300	2	shown	show	VERB
cana-1240	300	3	in	in	ADP
cana-1240	300	4	equation	equation	NOUN
cana-1240	300	5	40	40	NUM
cana-1240	300	6	,	,	PUNCT
cana-1240	300	7	the	the	DET
cana-1240	300	8	parameter	parameter	NOUN
cana-1240	300	9	𝜃	𝜃	PROPN
cana-1240	300	10	is	be	AUX
cana-1240	300	11	expressedin	expressedin	VERB
cana-1240	300	12	terms	term	NOUN
cana-1240	300	13	of	of	ADP
cana-1240	300	14	the	the	DET
cana-1240	300	15	trigonometric	trigonometric	ADJ
cana-1240	300	16	functions	function	NOUN
cana-1240	300	17	𝑠𝑖𝑛𝑒	𝑠𝑖𝑛𝑒	VERB
cana-1240	300	18	𝜃	𝜃	NOUN
cana-1240	300	19	and	and	CCONJ
cana-1240	300	20	𝑐𝑜𝑠	𝑐𝑜𝑠	NOUN
cana-1240	300	21	𝜃.	𝜃.	PROPN
cana-1240	301	1	𝑎𝑛𝑔𝑙𝑒(𝜃	𝑎𝑛𝑔𝑙𝑒(𝜃	ADJ
cana-1240	301	2	)	)	PUNCT
cana-1240	302	1	=	=	PUNCT
cana-1240	302	2	𝑥𝑐𝑜𝑠	𝑥𝑐𝑜𝑠	PROPN
cana-1240	302	3	𝜃	𝜃	PROPN
cana-1240	303	1	+	+	CCONJ
cana-1240	303	2	𝑦𝑠𝑖𝑛𝑒	𝑦𝑠𝑖𝑛𝑒	ADJ
cana-1240	303	3	𝜃	𝜃	X
cana-1240	303	4	(	(	PUNCT
cana-1240	303	5	40	40	NUM
cana-1240	303	6	)	)	PUNCT
cana-1240	303	7	𝜉	𝜉	NOUN
cana-1240	303	8	=	=	SYM
cana-1240	303	9	∏(𝑤(𝑥	∏(𝑤(𝑥	X
cana-1240	303	10	,	,	PUNCT
cana-1240	303	11	𝑦	𝑦	NOUN
cana-1240	303	12	)	)	PUNCT
cana-1240	303	13	,	,	PUNCT
cana-1240	303	14	𝑟𝑎𝑑𝑖𝑢𝑠(1	𝑟𝑎𝑑𝑖𝑢𝑠(1	NOUN
cana-1240	303	15	)	)	PUNCT
cana-1240	304	1	+	+	CCONJ
cana-1240	304	2	𝑤(𝑥	𝑤(𝑥	X
cana-1240	304	3	,	,	PUNCT
cana-1240	304	4	𝑦	𝑦	NOUN
cana-1240	304	5	)	)	PUNCT
cana-1240	304	6	,	,	PUNCT
cana-1240	304	7	𝑟𝑎𝑑𝑖𝑢𝑠(2	𝑟𝑎𝑑𝑖𝑢𝑠(2	PROPN
cana-1240	304	8	)	)	PUNCT
cana-1240	304	9	)	)	PUNCT
cana-1240	304	10	(	(	PUNCT
cana-1240	304	11	41	41	NUM
cana-1240	304	12	)	)	PUNCT
cana-1240	304	13	𝑓𝑖,𝑗	𝑓𝑖,𝑗	NOUN
cana-1240	305	1	=	=	PUNCT
cana-1240	305	2	∑	∑	PUNCT
cana-1240	305	3	𝑠(𝑔𝑝	𝑠(𝑔𝑝	PROPN
cana-1240	305	4	−	−	PROPN
cana-1240	305	5	𝑔𝑐)2	𝑔𝑐)2	PROPN
cana-1240	305	6	𝑃𝑃−1	𝑃𝑃−1	VERB
cana-1240	305	7	𝑃=0	𝑃=0	PROPN
cana-1240	306	1	+	+	CCONJ
cana-1240	306	2	𝐼(𝑥	𝐼(𝑥	PROPN
cana-1240	306	3	,	,	PUNCT
cana-1240	306	4	𝑦)𝑊(𝑥	𝑦)𝑊(𝑥	PROPN
cana-1240	306	5	,	,	PUNCT
cana-1240	306	6	𝑦	𝑦	NOUN
cana-1240	306	7	)	)	PUNCT
cana-1240	306	8	+	+	NOUN
cana-1240	306	9	𝜃	𝜃	X
cana-1240	307	1	+	+	NUM
cana-1240	307	2	𝜉	𝜉	X
cana-1240	307	3	(	(	PUNCT
cana-1240	307	4	42	42	NUM
cana-1240	307	5	)	)	PUNCT
cana-1240	307	6	equation	equation	NOUN
cana-1240	307	7	(	(	PUNCT
cana-1240	307	8	2	2	X
cana-1240	307	9	)	)	PUNCT
cana-1240	307	10	carries	carry	VERB
cana-1240	307	11	out	out	ADP
cana-1240	307	12	the	the	DET
cana-1240	307	13	task	task	NOUN
cana-1240	307	14	of	of	ADP
cana-1240	307	15	determining	determine	VERB
cana-1240	307	16	the	the	DET
cana-1240	307	17	alignment	alignment	NOUN
cana-1240	307	18	of	of	ADP
cana-1240	307	19	pointsand	pointsand	NOUN
cana-1240	307	20	lineson	lineson	NOUN
cana-1240	307	21	an	an	DET
cana-1240	307	22	image	image	NOUN
cana-1240	307	23	's	's	PART
cana-1240	307	24	boundaries	boundary	NOUN
cana-1240	307	25	and	and	CCONJ
cana-1240	307	26	edges	edge	NOUN
cana-1240	307	27	,	,	PUNCT
cana-1240	307	28	while	while	SCONJ
cana-1240	307	29	equation	equation	NOUN
cana-1240	307	30	(	(	PUNCT
cana-1240	307	31	3	3	X
cana-1240	307	32	)	)	PUNCT
cana-1240	307	33	uses	use	VERB
cana-1240	307	34	a	a	DET
cana-1240	307	35	gabor	gabor	NOUN
cana-1240	307	36	filter	filter	NOUN
cana-1240	307	37	to	to	PART
cana-1240	307	38	extract	extract	VERB
cana-1240	307	39	additional	additional	ADJ
cana-1240	307	40	information	information	NOUN
cana-1240	307	41	from	from	ADP
cana-1240	307	42	an	an	DET
cana-1240	307	43	lbp	lbp	NOUN
cana-1240	307	44	at	at	ADP
cana-1240	307	45	various	various	ADJ
cana-1240	307	46	radii.since	radii.since	NOUN
cana-1240	307	47	identifying	identify	VERB
cana-1240	307	48	lung	lung	NOUN
cana-1240	307	49	cancer	cancer	NOUN
cana-1240	307	50	requires	require	VERB
cana-1240	307	51	extracting	extract	VERB
cana-1240	307	52	a	a	DET
cana-1240	307	53	more	more	ADV
cana-1240	307	54	thorough	thorough	ADJ
cana-1240	307	55	description	description	NOUN
cana-1240	307	56	of	of	ADP
cana-1240	307	57	an	an	DET
cana-1240	307	58	image	image	NOUN
cana-1240	307	59	,	,	PUNCT
cana-1240	307	60	the	the	DET
cana-1240	307	61	result	result	NOUN
cana-1240	307	62	of	of	ADP
cana-1240	307	63	lbp	lbp	PROPN
cana-1240	307	64	is	be	AUX
cana-1240	307	65	cascaded	cascade	VERB
cana-1240	307	66	with	with	ADP
cana-1240	307	67	gabor	gabor	PROPN
cana-1240	307	68	filter	filter	NOUN
cana-1240	307	69	g	g	PROPN
cana-1240	307	70	to	to	PART
cana-1240	307	71	provide	provide	VERB
cana-1240	307	72	more	more	ADJ
cana-1240	307	73	texture	texture	ADJ
cana-1240	307	74	-	-	PUNCT
cana-1240	307	75	specific	specific	ADJ
cana-1240	307	76	information	information	NOUN
cana-1240	307	77	about	about	ADP
cana-1240	307	78	an	an	DET
cana-1240	307	79	image	image	NOUN
cana-1240	307	80	.	.	PUNCT
cana-1240	308	1	cascading	cascade	VERB
cana-1240	308	2	the	the	DET
cana-1240	308	3	lbp	lbp	PROPN
cana-1240	308	4	texture	texture	NOUN
cana-1240	308	5	information	information	NOUN
cana-1240	308	6	acquired	acquire	VERB
cana-1240	308	7	in	in	ADP
cana-1240	308	8	the	the	DET
cana-1240	308	9	form	form	NOUN
cana-1240	308	10	of	of	ADP
cana-1240	308	11	bins	bin	NOUN
cana-1240	308	12	with	with	ADP
cana-1240	308	13	a	a	DET
cana-1240	308	14	gabor	gabor	NOUN
cana-1240	308	15	filter	filter	NOUN
cana-1240	308	16	allows	allow	VERB
cana-1240	308	17	additional	additional	ADJ
cana-1240	308	18	information	information	NOUN
cana-1240	308	19	about	about	ADP
cana-1240	308	20	an	an	DET
cana-1240	308	21	image	image	NOUN
cana-1240	308	22	to	to	PART
cana-1240	308	23	be	be	AUX
cana-1240	308	24	extracted	extract	VERB
cana-1240	308	25	.	.	PUNCT
cana-1240	309	1	these	these	DET
cana-1240	309	2	texture	texture	ADJ
cana-1240	309	3	characteristics	characteristic	NOUN
cana-1240	309	4	have	have	VERB
cana-1240	309	5	the	the	DET
cana-1240	309	6	advantage	advantage	NOUN
cana-1240	309	7	of	of	ADP
cana-1240	309	8	highlighting	highlight	VERB
cana-1240	309	9	small	small	ADJ
cana-1240	309	10	characteristics	characteristic	NOUN
cana-1240	309	11	,	,	PUNCT
cana-1240	309	12	like	like	ADP
cana-1240	309	13	slight	slight	ADJ
cana-1240	309	14	alterations	alteration	NOUN
cana-1240	309	15	in	in	ADP
cana-1240	309	16	tissue	tissue	NOUN
cana-1240	309	17	texture	texture	NOUN
cana-1240	309	18	or	or	CCONJ
cana-1240	309	19	microstructural	microstructural	ADJ
cana-1240	309	20	patterns	pattern	NOUN
cana-1240	309	21	,	,	PUNCT
cana-1240	309	22	that	that	PRON
cana-1240	309	23	are	be	AUX
cana-1240	309	24	essential	essential	ADJ
cana-1240	309	25	for	for	ADP
cana-1240	309	26	identifying	identify	VERB
cana-1240	309	27	early	early	ADJ
cana-1240	309	28	indicators	indicator	NOUN
cana-1240	309	29	of	of	ADP
cana-1240	309	30	lung	lung	NOUN
cana-1240	309	31	cancer	cancer	NOUN
cana-1240	309	32	.	.	PUNCT
cana-1240	310	1	the	the	DET
cana-1240	310	2	combined	combined	ADJ
cana-1240	310	3	use	use	NOUN
cana-1240	310	4	of	of	ADP
cana-1240	310	5	shape	shape	NOUN
cana-1240	310	6	,	,	PUNCT
cana-1240	310	7	geometric	geometric	ADJ
cana-1240	310	8	,	,	PUNCT
cana-1240	310	9	colour	colour	NOUN
cana-1240	310	10	,	,	PUNCT
cana-1240	310	11	and	and	CCONJ
cana-1240	310	12	texture	texture	NOUN
cana-1240	310	13	features	feature	NOUN
cana-1240	310	14	ensures	ensure	VERB
cana-1240	310	15	a	a	DET
cana-1240	310	16	holistic	holistic	ADJ
cana-1240	310	17	approach	approach	NOUN
cana-1240	310	18	to	to	ADP
cana-1240	310	19	feature	feature	NOUN
cana-1240	310	20	extraction	extraction	NOUN
cana-1240	310	21	,	,	PUNCT
cana-1240	310	22	capturing	capture	VERB
cana-1240	310	23	a	a	DET
cana-1240	310	24	diverse	diverse	ADJ
cana-1240	310	25	range	range	NOUN
cana-1240	310	26	of	of	ADP
cana-1240	310	27	information	information	NOUN
cana-1240	310	28	from	from	ADP
cana-1240	310	29	lung	lung	NOUN
cana-1240	310	30	images	image	NOUN
cana-1240	310	31	.	.	PUNCT
cana-1240	311	1	in	in	ADP
cana-1240	311	2	order	order	NOUN
cana-1240	311	3	to	to	PART
cana-1240	311	4	extract	extract	VERB
cana-1240	311	5	multifaceted	multifaceted	ADJ
cana-1240	311	6	information	information	NOUN
cana-1240	311	7	from	from	ADP
cana-1240	311	8	medical	medical	ADJ
cana-1240	311	9	images	image	NOUN
cana-1240	311	10	,	,	PUNCT
cana-1240	311	11	these	these	DET
cana-1240	311	12	techniques	technique	NOUN
cana-1240	311	13	have	have	AUX
cana-1240	311	14	been	be	AUX
cana-1240	311	15	integrated	integrate	VERB
cana-1240	311	16	.	.	PUNCT
cana-1240	312	1	3.4	3.4	NUM
cana-1240	312	2	.	.	PUNCT
cana-1240	312	3	feature	feature	NOUN
cana-1240	312	4	ranking	rank	VERB
cana-1240	312	5	feature	feature	NOUN
cana-1240	312	6	ranking	ranking	NOUN
cana-1240	312	7	,	,	PUNCT
cana-1240	312	8	which	which	PRON
cana-1240	312	9	aims	aim	VERB
cana-1240	312	10	to	to	PART
cana-1240	312	11	identify	identify	VERB
cana-1240	312	12	the	the	DET
cana-1240	312	13	most	most	ADV
cana-1240	312	14	relevant	relevant	ADJ
cana-1240	312	15	features	feature	NOUN
cana-1240	312	16	that	that	PRON
cana-1240	312	17	significantly	significantly	ADV
cana-1240	312	18	contribute	contribute	VERB
cana-1240	312	19	to	to	ADP
cana-1240	312	20	the	the	DET
cana-1240	312	21	accurate	accurate	ADJ
cana-1240	312	22	classification	classification	NOUN
cana-1240	312	23	of	of	ADP
cana-1240	312	24	medical	medical	ADJ
cana-1240	312	25	images	image	NOUN
cana-1240	312	26	,	,	PUNCT
cana-1240	312	27	is	be	AUX
cana-1240	312	28	an	an	DET
cana-1240	312	29	important	important	ADJ
cana-1240	312	30	step	step	NOUN
cana-1240	312	31	in	in	ADP
cana-1240	312	32	the	the	DET
cana-1240	312	33	lung	lung	NOUN
cana-1240	312	34	cancer	cancer	NOUN
cana-1240	312	35	detection	detection	NOUN
cana-1240	312	36	process	process	NOUN
cana-1240	312	37	.	.	PUNCT
cana-1240	313	1	a	a	DET
cana-1240	313	2	sophisticated	sophisticated	ADJ
cana-1240	313	3	method	method	NOUN
cana-1240	313	4	is	be	AUX
cana-1240	313	5	used	use	VERB
cana-1240	313	6	in	in	ADP
cana-1240	313	7	this	this	DET
cana-1240	313	8	work	work	NOUN
cana-1240	313	9	,	,	PUNCT
cana-1240	313	10	which	which	PRON
cana-1240	313	11	uses	use	VERB
cana-1240	313	12	a	a	DET
cana-1240	313	13	modified	modify	VERB
cana-1240	313	14	fuzzy	fuzzy	ADJ
cana-1240	313	15	analytic	analytic	ADJ
cana-1240	313	16	hierarchy	hierarchy	NOUN
cana-1240	313	17	process	process	NOUN
cana-1240	313	18	(	(	PUNCT
cana-1240	313	19	ahp	ahp	NOUN
cana-1240	313	20	)	)	PUNCT
cana-1240	313	21	to	to	PART
cana-1240	313	22	rank	rank	VERB
cana-1240	313	23	features	feature	NOUN
cana-1240	313	24	.	.	PUNCT
cana-1240	314	1	this	this	DET
cana-1240	314	2	approach	approach	NOUN
cana-1240	314	3	uses	use	VERB
cana-1240	314	4	sigmoid	sigmoid	NOUN
cana-1240	314	5	membership	membership	NOUN
cana-1240	314	6	functions	function	NOUN
cana-1240	314	7	that	that	PRON
cana-1240	314	8	are	be	AUX
cana-1240	314	9	customized	customize	VERB
cana-1240	314	10	for	for	ADP
cana-1240	314	11	every	every	DET
cana-1240	314	12	feature	feature	NOUN
cana-1240	314	13	.	.	PUNCT
cana-1240	315	1	to	to	PART
cana-1240	315	2	improve	improve	VERB
cana-1240	315	3	the	the	DET
cana-1240	315	4	discriminatory	discriminatory	ADJ
cana-1240	315	5	power	power	NOUN
cana-1240	315	6	,	,	PUNCT
cana-1240	315	7	these	these	DET
cana-1240	315	8	membership	membership	NOUN
cana-1240	315	9	functions	function	NOUN
cana-1240	315	10	are	be	AUX
cana-1240	315	11	refined	refine	VERB
cana-1240	315	12	using	use	VERB
cana-1240	315	13	a	a	DET
cana-1240	315	14	chimpgaz	chimpgaz	NOUN
cana-1240	315	15	hybrid	hybrid	ADJ
cana-1240	315	16	optimization	optimization	NOUN
cana-1240	315	17	algorithm	algorithm	NOUN
cana-1240	315	18	.	.	PUNCT
cana-1240	316	1	3.4.1	3.4.1	X
cana-1240	316	2	.	.	PUNCT
cana-1240	316	3	modified	modify	VERB
cana-1240	316	4	fuzzy	fuzzy	ADJ
cana-1240	316	5	analytic	analytic	ADJ
cana-1240	316	6	hierarchy	hierarchy	NOUN
cana-1240	316	7	process	process	NOUN
cana-1240	316	8	the	the	DET
cana-1240	316	9	modified	modify	VERB
cana-1240	316	10	fuzzy	fuzzy	ADJ
cana-1240	316	11	analytic	analytic	ADJ
cana-1240	316	12	hierarchy	hierarchy	NOUN
cana-1240	316	13	process	process	NOUN
cana-1240	316	14	(	(	PUNCT
cana-1240	316	15	fuzzy	fuzzy	ADJ
cana-1240	316	16	ahp	ahp	NOUN
cana-1240	316	17	)	)	PUNCT
cana-1240	316	18	combines	combine	VERB
cana-1240	316	19	fuzzy	fuzzy	ADJ
cana-1240	316	20	logic	logic	NOUN
cana-1240	316	21	with	with	ADP
cana-1240	316	22	the	the	DET
cana-1240	316	23	traditional	traditional	ADJ
cana-1240	316	24	analytic	analytic	ADJ
cana-1240	316	25	hierarchy	hierarchy	NOUN
cana-1240	316	26	process	process	NOUN
cana-1240	316	27	to	to	PART
cana-1240	316	28	address	address	VERB
cana-1240	316	29	vaguenessanduncertainties	vaguenessanduncertaintie	NOUN
cana-1240	316	30	in	in	ADP
cana-1240	316	31	decision	decision	NOUN
cana-1240	316	32	-	-	PUNCT
cana-1240	316	33	making	making	NOUN
cana-1240	316	34	.	.	PUNCT
cana-1240	317	1	it	it	PRON
cana-1240	317	2	presents	present	VERB
cana-1240	317	3	the	the	DET
cana-1240	317	4	idea	idea	NOUN
cana-1240	317	5	of	of	ADP
cana-1240	317	6	representing	represent	VERB
cana-1240	317	7	and	and	CCONJ
cana-1240	317	8	processing	process	VERB
cana-1240	317	9	imprecise	imprecise	ADJ
cana-1240	317	10	data	datum	NOUN
cana-1240	317	11	using	use	VERB
cana-1240	317	12	fuzzy	fuzzy	ADJ
cana-1240	317	13	sets	set	NOUN
cana-1240	317	14	and	and	CCONJ
cana-1240	317	15	pentagonal	pentagonal	ADJ
cana-1240	317	16	fuzzy	fuzzy	ADJ
cana-1240	317	17	numbers	number	NOUN
cana-1240	317	18	.	.	PUNCT
cana-1240	318	1	communications	communication	NOUN
cana-1240	318	2	on	on	ADP
cana-1240	318	3	applied	apply	VERB
cana-1240	318	4	nonlinear	nonlinear	ADJ
cana-1240	318	5	analysis	analysis	NOUN
cana-1240	318	6	issn	issn	NOUN
cana-1240	318	7	:	:	PUNCT
cana-1240	318	8	1074	1074	NUM
cana-1240	318	9	-	-	PUNCT
cana-1240	318	10	133x	133x	NUM
cana-1240	318	11	vol	vol	NOUN
cana-1240	318	12	31	31	NUM
cana-1240	318	13	no	no	NOUN
cana-1240	318	14	.	.	PUNCT
cana-1240	319	1	6s	6s	NUM
cana-1240	319	2	(	(	PUNCT
cana-1240	319	3	2024	2024	NUM
cana-1240	319	4	)	)	PUNCT
cana-1240	319	5	514	514	NUM
cana-1240	319	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1240	319	7	(	(	PUNCT
cana-1240	319	8	i	i	NOUN
cana-1240	319	9	)	)	PUNCT
cana-1240	319	10	fuzzy	fuzzy	ADV
cana-1240	319	11	set	set	VERB
cana-1240	319	12	the	the	DET
cana-1240	319	13	values	value	NOUN
cana-1240	319	14	of	of	ADP
cana-1240	319	15	a	a	DET
cana-1240	319	16	fuzzy	fuzzy	ADJ
cana-1240	319	17	set	set	VERB
cana-1240	319	18	�	�	PROPN
cana-1240	319	19	̃	̃	PROPN
cana-1240	319	20	�	�	NOUN
cana-1240	319	21	𝐹in	𝐹in	PROPN
cana-1240	319	22	the	the	DET
cana-1240	319	23	interval	interval	NOUN
cana-1240	319	24	[	[	X
cana-1240	319	25	0	0	NUM
cana-1240	319	26	,	,	PUNCT
cana-1240	319	27	1	1	NUM
cana-1240	319	28	]	]	PUNCT
cana-1240	319	29	come	come	VERB
cana-1240	319	30	from	from	ADP
cana-1240	319	31	its	its	PRON
cana-1240	319	32	domain	domain	NOUN
cana-1240	319	33	or	or	CCONJ
cana-1240	319	34	universe	universe	NOUN
cana-1240	319	35	of	of	ADP
cana-1240	319	36	discourse	discourse	NOUN
cana-1240	319	37	�	�	PROPN
cana-1240	319	38	̃	̃	PROPN
cana-1240	319	39	�	�	PROPN
cana-1240	319	40	,	,	PUNCT
cana-1240	319	41	and	and	CCONJ
cana-1240	319	42	it	it	PRON
cana-1240	319	43	is	be	AUX
cana-1240	319	44	defined	define	VERB
cana-1240	319	45	by	by	ADP
cana-1240	319	46	,	,	PUNCT
cana-1240	319	47	�	�	PROPN
cana-1240	319	48	̃	̃	PROPN
cana-1240	319	49	�	�	PROPN
cana-1240	319	50	𝐹	𝐹	NOUN
cana-1240	319	51	=	=	PUNCT
cana-1240	319	52	(	(	PUNCT
cana-1240	319	53	𝑥	𝑥	NOUN
cana-1240	319	54	,	,	PUNCT
cana-1240	319	55	𝜇(𝑥	𝜇(𝑥	PROPN
cana-1240	319	56	)	)	PUNCT
cana-1240	319	57	,	,	PUNCT
cana-1240	319	58	𝑥	𝑥	PROPN
cana-1240	319	59	∈	∈	PROPN
cana-1240	319	60	�	�	PROPN
cana-1240	319	61	̃	̃	PROPN
cana-1240	319	62	�	�	PROPN
cana-1240	319	63	(	(	PUNCT
cana-1240	319	64	43	43	NUM
cana-1240	319	65	)	)	PUNCT
cana-1240	319	66	𝜇(𝑥	𝜇(𝑥	PROPN
cana-1240	319	67	)	)	PUNCT
cana-1240	319	68	=	=	PUNCT
cana-1240	319	69	1	1	NUM
cana-1240	319	70	1+𝑒−𝑎(𝑥−𝑐	1+𝑒−𝑎(𝑥−𝑐	NUM
cana-1240	319	71	)	)	PUNCT
cana-1240	319	72	(	(	PUNCT
cana-1240	319	73	44	44	NUM
cana-1240	319	74	)	)	PUNCT
cana-1240	319	75	where	where	SCONJ
cana-1240	319	76	𝜇(𝑥	𝜇(𝑥	PROPN
cana-1240	319	77	)	)	PUNCT
cana-1240	319	78	is	be	AUX
cana-1240	319	79	the	the	DET
cana-1240	319	80	sigmoidal	sigmoidal	NOUN
cana-1240	319	81	membership	membership	NOUN
cana-1240	319	82	function.for	function.for	ADP
cana-1240	319	83	every	every	DET
cana-1240	319	84	feature	feature	NOUN
cana-1240	319	85	,	,	PUNCT
cana-1240	319	86	sigmoid	sigmoid	NOUN
cana-1240	319	87	membership	membership	NOUN
cana-1240	319	88	functions	function	NOUN
cana-1240	319	89	are	be	AUX
cana-1240	319	90	used	use	VERB
cana-1240	319	91	to	to	PART
cana-1240	319	92	capture	capture	VERB
cana-1240	319	93	the	the	DET
cana-1240	319	94	gradual	gradual	ADJ
cana-1240	319	95	change	change	NOUN
cana-1240	319	96	in	in	ADP
cana-1240	319	97	importance	importance	NOUN
cana-1240	319	98	levels	level	NOUN
cana-1240	319	99	.	.	PUNCT
cana-1240	320	1	the	the	DET
cana-1240	320	2	s	s	NOUN
cana-1240	320	3	-	-	PUNCT
cana-1240	320	4	shaped	shape	VERB
cana-1240	320	5	curve	curve	NOUN
cana-1240	320	6	that	that	PRON
cana-1240	320	7	typifies	typify	VERB
cana-1240	320	8	sigmoid	sigmoid	NOUN
cana-1240	320	9	functions	function	NOUN
cana-1240	320	10	enables	enable	VERB
cana-1240	320	11	a	a	DET
cana-1240	320	12	continuous	continuous	ADJ
cana-1240	320	13	and	and	CCONJ
cana-1240	320	14	smooth	smooth	ADJ
cana-1240	320	15	depiction	depiction	NOUN
cana-1240	320	16	of	of	ADP
cana-1240	320	17	the	the	DET
cana-1240	320	18	membership	membership	NOUN
cana-1240	320	19	values	value	NOUN
cana-1240	320	20	.	.	PUNCT
cana-1240	321	1	each	each	DET
cana-1240	321	2	feature	feature	NOUN
cana-1240	321	3	has	have	VERB
cana-1240	321	4	its	its	PRON
cana-1240	321	5	own	own	ADJ
cana-1240	321	6	set	set	NOUN
cana-1240	321	7	of	of	ADP
cana-1240	321	8	functions	function	NOUN
cana-1240	321	9	that	that	PRON
cana-1240	321	10	are	be	AUX
cana-1240	321	11	specifically	specifically	ADV
cana-1240	321	12	designed	design	VERB
cana-1240	321	13	to	to	PART
cana-1240	321	14	highlight	highlight	VERB
cana-1240	321	15	its	its	PRON
cana-1240	321	16	distinct	distinct	ADJ
cana-1240	321	17	role	role	NOUN
cana-1240	321	18	in	in	ADP
cana-1240	321	19	the	the	DET
cana-1240	321	20	task	task	NOUN
cana-1240	321	21	of	of	ADP
cana-1240	321	22	detecting	detect	VERB
cana-1240	321	23	lung	lung	NOUN
cana-1240	321	24	cancer	cancer	NOUN
cana-1240	321	25	.	.	PUNCT
cana-1240	322	1	(	(	PUNCT
cana-1240	322	2	ii	ii	NOUN
cana-1240	322	3	)	)	PUNCT
cana-1240	322	4	fuzzy	fuzzy	ADJ
cana-1240	322	5	number	number	NOUN
cana-1240	322	6	a	a	DET
cana-1240	322	7	pentagonal	pentagonal	ADJ
cana-1240	322	8	fuzzy	fuzzy	ADJ
cana-1240	322	9	number	number	NOUN
cana-1240	322	10	(	(	PUNCT
cana-1240	322	11	pfn	pfn	PROPN
cana-1240	322	12	)	)	PUNCT
cana-1240	322	13	is	be	AUX
cana-1240	322	14	𝐴	𝐴	NOUN
cana-1240	322	15	=	=	PUNCT
cana-1240	322	16	(	(	PUNCT
cana-1240	322	17	𝑧1	𝑧1	PROPN
cana-1240	322	18	,	,	PUNCT
cana-1240	322	19	𝑧2	𝑧2	NOUN
cana-1240	322	20	,	,	PUNCT
cana-1240	322	21	𝑧3	𝑧3	PROPN
cana-1240	322	22	,	,	PUNCT
cana-1240	322	23	𝑧4	𝑧4	PROPN
cana-1240	322	24	,	,	PUNCT
cana-1240	322	25	𝑧5	𝑧5	PROPN
cana-1240	322	26	)	)	PUNCT
cana-1240	322	27	,	,	PUNCT
cana-1240	322	28	where	where	SCONJ
cana-1240	322	29	𝑧3	𝑧3	PROPN
cana-1240	322	30	is	be	AUX
cana-1240	322	31	the	the	DET
cana-1240	322	32	middle	middle	ADJ
cana-1240	322	33	point	point	NOUN
cana-1240	322	34	and	and	CCONJ
cana-1240	322	35	(	(	PUNCT
cana-1240	322	36	𝑧1	𝑧1	NOUN
cana-1240	322	37	,	,	PUNCT
cana-1240	322	38	𝑧2	𝑧2	NOUN
cana-1240	322	39	)	)	PUNCT
cana-1240	322	40	and	and	CCONJ
cana-1240	322	41	(	(	PUNCT
cana-1240	322	42	𝑧4	𝑧4	PROPN
cana-1240	322	43	,	,	PUNCT
cana-1240	322	44	𝑧5	𝑧5	PROPN
cana-1240	322	45	)	)	PUNCT
cana-1240	322	46	are	be	AUX
cana-1240	322	47	the	the	DET
cana-1240	322	48	points	point	NOUN
cana-1240	322	49	on	on	ADP
cana-1240	322	50	the	the	DET
cana-1240	322	51	left	left	ADJ
cana-1240	322	52	and	and	CCONJ
cana-1240	322	53	right	right	ADJ
cana-1240	322	54	sides	side	NOUN
cana-1240	322	55	of	of	ADP
cana-1240	322	56	𝑧3	𝑧3	PROPN
cana-1240	322	57	,	,	PUNCT
cana-1240	322	58	respectively	respectively	ADV
cana-1240	322	59	.	.	PUNCT
cana-1240	323	1	the	the	DET
cana-1240	323	2	membership	membership	NOUN
cana-1240	323	3	grade	grade	NOUN
cana-1240	323	4	of	of	ADP
cana-1240	323	5	point	point	NOUN
cana-1240	323	6	𝑧3	𝑧3	PROPN
cana-1240	323	7	is	be	AUX
cana-1240	323	8	1	1	NUM
cana-1240	323	9	,	,	PUNCT
cana-1240	323	10	and	and	CCONJ
cana-1240	323	11	the	the	DET
cana-1240	323	12	grades	grade	NOUN
cana-1240	323	13	of	of	ADP
cana-1240	323	14	points	point	NOUN
cana-1240	323	15	𝑧2	𝑧2	PROPN
cana-1240	323	16	,	,	PUNCT
cana-1240	323	17	𝑧4	𝑧4	PROPN
cana-1240	323	18	,	,	PUNCT
cana-1240	323	19	and	and	CCONJ
cana-1240	323	20	𝑤1	𝑤1	VERB
cana-1240	323	21	,	,	PUNCT
cana-1240	323	22	𝑤2	𝑤2	NOUN
cana-1240	323	23	are	be	AUX
cana-1240	323	24	the	the	DET
cana-1240	323	25	corresponding	corresponding	ADJ
cana-1240	323	26	values	value	NOUN
cana-1240	323	27	.	.	PUNCT
cana-1240	324	1	each	each	DET
cana-1240	324	2	pfn	pfn	PROPN
cana-1240	324	3	has	have	VERB
cana-1240	324	4	two	two	NUM
cana-1240	324	5	weights	weight	NOUN
cana-1240	324	6	,	,	PUNCT
cana-1240	324	7	𝑤1	𝑤1	VERB
cana-1240	324	8	,	,	PUNCT
cana-1240	324	9	𝑤2	𝑤2	NOUN
cana-1240	324	10	,	,	PUNCT
cana-1240	324	11	assigned	assign	VERB
cana-1240	324	12	to	to	ADP
cana-1240	324	13	it	it	PRON
cana-1240	324	14	.	.	PUNCT
cana-1240	325	1	to	to	PART
cana-1240	325	2	prevent	prevent	VERB
cana-1240	325	3	confusion	confusion	NOUN
cana-1240	325	4	,	,	PUNCT
cana-1240	325	5	𝑤1	𝑤1	NOUN
cana-1240	325	6	and	and	CCONJ
cana-1240	325	7	𝑤2	𝑤2	NOUN
cana-1240	325	8	are	be	AUX
cana-1240	325	9	represented	represent	VERB
cana-1240	325	10	as	as	ADP
cana-1240	325	11	the	the	DET
cana-1240	325	12	weights	weight	NOUN
cana-1240	325	13	of	of	ADP
cana-1240	325	14	the	the	DET
cana-1240	325	15	pfn	pfn	NOUN
cana-1240	325	16	a	a	PRON
cana-1240	325	17	using	use	VERB
cana-1240	325	18	the	the	DET
cana-1240	325	19	notation𝑤𝑖𝐴	notation𝑤𝑖𝐴	PROPN
cana-1240	325	20	for	for	ADP
cana-1240	325	21	𝑖	𝑖	NOUN
cana-1240	325	22	=	=	SYM
cana-1240	325	23	1,2	1,2	NUM
cana-1240	325	24	.	.	PUNCT
cana-1240	326	1	the	the	DET
cana-1240	326	2	three	three	NUM
cana-1240	326	3	operations	operation	NOUN
cana-1240	326	4	that	that	PRON
cana-1240	326	5	can	can	AUX
cana-1240	326	6	be	be	AUX
cana-1240	326	7	carried	carry	VERB
cana-1240	326	8	out	out	ADP
cana-1240	326	9	on	on	ADP
cana-1240	326	10	pentagon	pentagon	PROPN
cana-1240	326	11	fuzzy	fuzzy	ADJ
cana-1240	326	12	numbers	number	NOUN
cana-1240	326	13	are	be	AUX
cana-1240	326	14	as	as	SCONJ
cana-1240	326	15	follows	follow	VERB
cana-1240	326	16	:	:	PUNCT
cana-1240	326	17	assuming	assume	VERB
cana-1240	326	18	that	that	SCONJ
cana-1240	326	19	the	the	DET
cana-1240	326	20	two	two	NUM
cana-1240	326	21	pentagon	pentagon	PROPN
cana-1240	326	22	fuzzy	fuzzy	ADJ
cana-1240	326	23	numbers	number	NOUN
cana-1240	326	24	are	be	AUX
cana-1240	326	25	�	�	PROPN
cana-1240	326	26	̃	̃	NOUN
cana-1240	326	27	�	�	NOUN
cana-1240	326	28	𝑃	𝑃	NOUN
cana-1240	326	29	=	=	PUNCT
cana-1240	326	30	𝑦1	𝑦1	NOUN
cana-1240	326	31	,	,	PUNCT
cana-1240	326	32	𝑦2	𝑦2	PROPN
cana-1240	326	33	,	,	PUNCT
cana-1240	326	34	𝑦3	𝑦3	PROPN
cana-1240	326	35	,	,	PUNCT
cana-1240	326	36	𝑦4	𝑦4	NOUN
cana-1240	326	37	,	,	PUNCT
cana-1240	327	1	𝑦5and	𝑦5and	PROPN
cana-1240	327	2	�	�	PROPN
cana-1240	327	3	̃	̃	NOUN
cana-1240	327	4	�	�	NOUN
cana-1240	327	5	𝑃	𝑃	NOUN
cana-1240	327	6	=	=	PUNCT
cana-1240	327	7	𝑧1	𝑧1	NOUN
cana-1240	327	8	,	,	PUNCT
cana-1240	327	9	𝑧2	𝑧2	NOUN
cana-1240	327	10	,	,	PUNCT
cana-1240	327	11	𝑧3	𝑧3	PROPN
cana-1240	327	12	,	,	PUNCT
cana-1240	327	13	𝑧4	𝑧4	PROPN
cana-1240	327	14	,	,	PUNCT
cana-1240	327	15	𝑧5	𝑧5	PROPN
cana-1240	327	16	.	.	PUNCT
cana-1240	328	1	addition	addition	NOUN
cana-1240	328	2	:	:	PUNCT
cana-1240	328	3	�	�	PROPN
cana-1240	328	4	̃	̃	NOUN
cana-1240	328	5	�	�	PROPN
cana-1240	328	6	𝑃	𝑃	PROPN
cana-1240	328	7	⊕	⊕	PROPN
cana-1240	328	8	�	�	PROPN
cana-1240	328	9	̃	̃	PROPN
cana-1240	328	10	�	�	NOUN
cana-1240	328	11	𝑃	𝑃	NOUN
cana-1240	328	12	=	=	SYM
cana-1240	328	13	(	(	PUNCT
cana-1240	328	14	𝑧1	𝑧1	NOUN
cana-1240	328	15	+	+	CCONJ
cana-1240	328	16	𝑦1	𝑦1	PROPN
cana-1240	328	17	,	,	PUNCT
cana-1240	328	18	𝑧2	𝑧2	PROPN
cana-1240	328	19	+	+	CCONJ
cana-1240	328	20	𝑦2	𝑦2	NOUN
cana-1240	328	21	,	,	PUNCT
cana-1240	328	22	𝑧3	𝑧3	PROPN
cana-1240	328	23	+	+	PROPN
cana-1240	328	24	𝑦3	𝑦3	PROPN
cana-1240	328	25	,	,	PUNCT
cana-1240	328	26	𝑧4	𝑧4	PROPN
cana-1240	328	27	+	+	CCONJ
cana-1240	328	28	𝑦4	𝑦4	NOUN
cana-1240	328	29	,	,	PUNCT
cana-1240	328	30	𝑧5	𝑧5	PROPN
cana-1240	328	31	+	+	CCONJ
cana-1240	328	32	𝑦5	𝑦5	PROPN
cana-1240	328	33	)	)	PUNCT
cana-1240	328	34	(	(	PUNCT
cana-1240	328	35	45	45	NUM
cana-1240	328	36	)	)	PUNCT
cana-1240	328	37	subtraction	subtraction	NOUN
cana-1240	328	38	:	:	PUNCT
cana-1240	328	39	�	�	PROPN
cana-1240	328	40	̃	̃	PROPN
cana-1240	328	41	�	�	PROPN
cana-1240	328	42	𝑃(−)	𝑃(−)	PROPN
cana-1240	328	43	�	�	PROPN
cana-1240	328	44	̃	̃	NOUN
cana-1240	328	45	�	�	NOUN
cana-1240	328	46	𝑃	𝑃	NOUN
cana-1240	328	47	=	=	SYM
cana-1240	328	48	(	(	PUNCT
cana-1240	328	49	𝑧1	𝑧1	NOUN
cana-1240	328	50	−	−	PROPN
cana-1240	328	51	𝑦1	𝑦1	PROPN
cana-1240	328	52	,	,	PUNCT
cana-1240	328	53	𝑧2	𝑧2	PROPN
cana-1240	328	54	−	−	PROPN
cana-1240	328	55	𝑦2	𝑦2	PROPN
cana-1240	328	56	,	,	PUNCT
cana-1240	328	57	𝑧3	𝑧3	PROPN
cana-1240	328	58	−	−	PROPN
cana-1240	328	59	𝑦3	𝑦3	PROPN
cana-1240	328	60	,	,	PUNCT
cana-1240	328	61	𝑧4	𝑧4	PROPN
cana-1240	328	62	−	−	PROPN
cana-1240	328	63	𝑦4	𝑦4	NOUN
cana-1240	328	64	,	,	PUNCT
cana-1240	328	65	𝑧5	𝑧5	PROPN
cana-1240	328	66	−	−	PROPN
cana-1240	328	67	𝑦5	𝑦5	PROPN
cana-1240	328	68	)	)	PUNCT
cana-1240	328	69	(	(	PUNCT
cana-1240	328	70	46	46	X
cana-1240	328	71	)	)	PUNCT
cana-1240	328	72	multiplication	multiplication	NOUN
cana-1240	328	73	:	:	PUNCT
cana-1240	328	74	�	�	PROPN
cana-1240	328	75	̃	̃	NOUN
cana-1240	328	76	�	�	NOUN
cana-1240	328	77	𝑃	𝑃	NOUN
cana-1240	328	78	∗	∗	NOUN
cana-1240	328	79	�	�	PROPN
cana-1240	328	80	̃	̃	NOUN
cana-1240	328	81	�	�	NOUN
cana-1240	328	82	𝑃	𝑃	NOUN
cana-1240	328	83	=	=	SYM
cana-1240	328	84	(	(	PUNCT
cana-1240	328	85	𝑧1	𝑧1	NOUN
cana-1240	328	86	∗	∗	NOUN
cana-1240	328	87	𝑦1	𝑦1	PROPN
cana-1240	328	88	,	,	PUNCT
cana-1240	328	89	𝑧2	𝑧2	NOUN
cana-1240	328	90	∗	∗	NOUN
cana-1240	328	91	𝑦2	𝑦2	NOUN
cana-1240	328	92	,	,	PUNCT
cana-1240	328	93	𝑧3	𝑧3	PROPN
cana-1240	328	94	∗	∗	NOUN
cana-1240	328	95	𝑦3	𝑦3	PROPN
cana-1240	328	96	,	,	PUNCT
cana-1240	328	97	𝑧4	𝑧4	PROPN
cana-1240	328	98	∗	∗	NOUN
cana-1240	328	99	𝑦4	𝑦4	NOUN
cana-1240	328	100	,	,	PUNCT
cana-1240	328	101	𝑧5	𝑧5	PROPN
cana-1240	328	102	∗	∗	NOUN
cana-1240	328	103	𝑦5	𝑦5	PROPN
cana-1240	328	104	)	)	PUNCT
cana-1240	328	105	(	(	PUNCT
cana-1240	328	106	47	47	NUM
cana-1240	328	107	)	)	PUNCT
cana-1240	328	108	division	division	NOUN
cana-1240	328	109	:	:	PUNCT
cana-1240	328	110	�	�	PROPN
cana-1240	328	111	̃	̃	NOUN
cana-1240	328	112	�	�	PROPN
cana-1240	328	113	𝑃	𝑃	PROPN
cana-1240	328	114	�	�	PROPN
cana-1240	328	115	̃	̃	NOUN
cana-1240	328	116	�	�	NOUN
cana-1240	328	117	𝑃	𝑃	NOUN
cana-1240	328	118	⁄	⁄	NOUN
cana-1240	328	119	=	=	PUNCT
cana-1240	328	120	(	(	PUNCT
cana-1240	328	121	𝑧1/𝑦1	𝑧1/𝑦1	PROPN
cana-1240	328	122	,	,	PUNCT
cana-1240	328	123	𝑧2/𝑦2	𝑧2/𝑦2	PROPN
cana-1240	328	124	,	,	PUNCT
cana-1240	328	125	𝑧3/𝑦3	𝑧3/𝑦3	NOUN
cana-1240	328	126	,	,	PUNCT
cana-1240	328	127	𝑧4/𝑦4	𝑧4/𝑦4	PROPN
cana-1240	328	128	,	,	PUNCT
cana-1240	328	129	𝑧5/𝑦5	𝑧5/𝑦5	NOUN
cana-1240	328	130	)	)	PUNCT
cana-1240	328	131	(	(	PUNCT
cana-1240	328	132	48	48	NUM
cana-1240	328	133	)	)	PUNCT
cana-1240	328	134	the	the	DET
cana-1240	328	135	pfn	pfn	PROPN
cana-1240	328	136	-	-	PUNCT
cana-1240	328	137	ahp	ahp	NOUN
cana-1240	328	138	integrates	integrate	VERB
cana-1240	328	139	fuzzy	fuzzy	ADJ
cana-1240	328	140	logic	logic	NOUN
cana-1240	328	141	with	with	ADP
cana-1240	328	142	the	the	DET
cana-1240	328	143	conventional	conventional	ADJ
cana-1240	328	144	ahp	ahp	NOUN
cana-1240	328	145	,	,	PUNCT
cana-1240	328	146	as	as	SCONJ
cana-1240	328	147	the	the	DET
cana-1240	328	148	latter	latter	NOUN
cana-1240	328	149	does	do	AUX
cana-1240	328	150	not	not	PART
cana-1240	328	151	account	account	VERB
cana-1240	328	152	for	for	ADP
cana-1240	328	153	uncertainty	uncertainty	NOUN
cana-1240	328	154	in	in	ADP
cana-1240	328	155	individual	individual	ADJ
cana-1240	328	156	reasoning	reasoning	NOUN
cana-1240	328	157	.	.	PUNCT
cana-1240	329	1	linguistic	linguistic	ADJ
cana-1240	329	2	variables	variable	NOUN
cana-1240	329	3	are	be	AUX
cana-1240	329	4	incorporated	incorporate	VERB
cana-1240	329	5	into	into	ADP
cana-1240	329	6	fuzzy	fuzzy	ADJ
cana-1240	329	7	logic	logic	NOUN
cana-1240	329	8	.	.	PUNCT
cana-1240	330	1	linguistic	linguistic	ADJ
cana-1240	330	2	variables	variable	NOUN
cana-1240	330	3	are	be	AUX
cana-1240	330	4	those	those	PRON
cana-1240	330	5	whose	whose	DET
cana-1240	330	6	values	value	NOUN
cana-1240	330	7	are	be	AUX
cana-1240	330	8	words	word	NOUN
cana-1240	330	9	as	as	SCONJ
cana-1240	330	10	opposed	oppose	VERB
cana-1240	330	11	to	to	ADP
cana-1240	330	12	numbers.the	numbers.the	DET
cana-1240	330	13	suggested	suggest	VERB
cana-1240	330	14	ahp	ahp	NOUN
cana-1240	330	15	in	in	ADP
cana-1240	330	16	this	this	DET
cana-1240	330	17	instance	instance	NOUN
cana-1240	330	18	makes	make	VERB
cana-1240	330	19	use	use	NOUN
cana-1240	330	20	of	of	ADP
cana-1240	330	21	pfn	pfn	PROPN
cana-1240	330	22	logic	logic	NOUN
cana-1240	330	23	,	,	PUNCT
cana-1240	330	24	which	which	PRON
cana-1240	330	25	provides	provide	VERB
cana-1240	330	26	understanding	understanding	NOUN
cana-1240	330	27	of	of	ADP
cana-1240	330	28	truth	truth	NOUN
cana-1240	330	29	,	,	PUNCT
cana-1240	330	30	unpredictability	unpredictability	NOUN
cana-1240	330	31	,	,	PUNCT
cana-1240	330	32	and	and	CCONJ
cana-1240	330	33	falsity	falsity	NOUN
cana-1240	330	34	of	of	ADP
cana-1240	330	35	any	any	DET
cana-1240	330	36	linguistic	linguistic	ADJ
cana-1240	330	37	variable	variable	NOUN
cana-1240	330	38	.	.	PUNCT
cana-1240	331	1	therefore	therefore	ADV
cana-1240	331	2	,	,	PUNCT
cana-1240	331	3	refining	refine	VERB
cana-1240	331	4	the	the	DET
cana-1240	331	5	fuzzy	fuzzy	ADJ
cana-1240	331	6	logic	logic	NOUN
cana-1240	331	7	approaches	approach	NOUN
cana-1240	331	8	improves	improve	VERB
cana-1240	331	9	the	the	DET
cana-1240	331	10	convergence	convergence	NOUN
cana-1240	331	11	of	of	ADP
cana-1240	331	12	ahp	ahp	PROPN
cana-1240	331	13	.	.	PUNCT
cana-1240	332	1	the	the	DET
cana-1240	332	2	linguistic	linguistic	ADJ
cana-1240	332	3	variables	variable	NOUN
cana-1240	332	4	expressed	express	VERB
cana-1240	332	5	in	in	ADP
cana-1240	332	6	pfn	pfn	PROPN
cana-1240	332	7	-	-	PUNCT
cana-1240	332	8	ahp	ahp	PROPN
cana-1240	332	9	have	have	AUX
cana-1240	332	10	been	be	AUX
cana-1240	332	11	used	use	VERB
cana-1240	332	12	to	to	PART
cana-1240	332	13	obtain	obtain	VERB
cana-1240	332	14	pairwise	pairwise	NOUN
cana-1240	332	15	comparisons	comparison	NOUN
cana-1240	332	16	for	for	ADP
cana-1240	332	17	criteria	criterion	NOUN
cana-1240	332	18	.	.	PUNCT
cana-1240	333	1	the	the	DET
cana-1240	333	2	elements	element	NOUN
cana-1240	333	3	of	of	ADP
cana-1240	333	4	a	a	DET
cana-1240	333	5	pairwise	pairwise	NOUN
cana-1240	333	6	comparison	comparison	NOUN
cana-1240	333	7	matrix	matrix	NOUN
cana-1240	333	8	show	show	VERB
cana-1240	333	9	the	the	DET
cana-1240	333	10	pairwise	pairwise	NOUN
cana-1240	333	11	comparisons	comparison	NOUN
cana-1240	333	12	of	of	ADP
cana-1240	333	13	various	various	ADJ
cana-1240	333	14	features	feature	NOUN
cana-1240	333	15	.	.	PUNCT
cana-1240	334	1	assume	assume	VERB
cana-1240	334	2	a	a	DET
cana-1240	334	3	matrix	matrix	NOUN
cana-1240	334	4	𝐶	𝐶	PROPN
cana-1240	334	5	is	be	AUX
cana-1240	334	6	created	create	VERB
cana-1240	334	7	,	,	PUNCT
cana-1240	334	8	and	and	CCONJ
cana-1240	334	9	that	that	SCONJ
cana-1240	334	10	the	the	DET
cana-1240	334	11	comparison	comparison	NOUN
cana-1240	334	12	value	value	NOUN
cana-1240	334	13	between	between	ADP
cana-1240	334	14	features	feature	NOUN
cana-1240	334	15	𝑖	𝑖	X
cana-1240	334	16	and	and	CCONJ
cana-1240	334	17	𝑗	𝑗	PROPN
cana-1240	334	18	is	be	AUX
cana-1240	334	19	represented	represent	VERB
cana-1240	334	20	by	by	ADP
cana-1240	334	21	the	the	DET
cana-1240	334	22	𝐶𝑖𝑗.	𝐶𝑖𝑗.	PROPN
cana-1240	334	23	that	that	PRON
cana-1240	334	24	means	mean	VERB
cana-1240	334	25	that	that	SCONJ
cana-1240	334	26	for	for	ADP
cana-1240	334	27	a	a	DET
cana-1240	334	28	matrix	matrix	NOUN
cana-1240	334	29	of	of	ADP
cana-1240	334	30	pairwise	pairwise	NOUN
cana-1240	334	31	comparisons	comparison	NOUN
cana-1240	334	32	with	with	ADP
cana-1240	334	33	pentagonal	pentagonal	ADJ
cana-1240	334	34	fuzzy	fuzzy	ADJ
cana-1240	334	35	numbers	number	NOUN
cana-1240	334	36	is	be	AUX
cana-1240	334	37	given	give	VERB
cana-1240	334	38	as	as	ADP
cana-1240	334	39	𝐶	𝐶	PROPN
cana-1240	334	40	=	=	SYM
cana-1240	334	41	(	(	PUNCT
cana-1240	334	42	𝜇11(𝐶11	𝜇11(𝐶11	NOUN
cana-1240	334	43	)	)	PUNCT
cana-1240	334	44	𝜇12(𝐶12	𝜇12(𝐶12	NOUN
cana-1240	334	45	)	)	PUNCT
cana-1240	334	46	𝜇21(𝐶21	𝜇21(𝐶21	NOUN
cana-1240	334	47	)	)	PUNCT
cana-1240	334	48	𝜇22(𝐶22	𝜇22(𝐶22	NOUN
cana-1240	334	49	)	)	PUNCT
cana-1240	334	50	…	…	PUNCT
cana-1240	334	51	𝜇1𝑛(𝐶1𝑛	𝜇1𝑛(𝐶1𝑛	PROPN
cana-1240	334	52	)	)	PUNCT
cana-1240	334	53	…	…	PUNCT
cana-1240	334	54	𝜇2𝑛(𝐶2𝑛	𝜇2𝑛(𝐶2𝑛	NOUN
cana-1240	334	55	)	)	PUNCT
cana-1240	334	56	⋮	⋮	NOUN
cana-1240	334	57	⋮	⋮	NOUN
cana-1240	334	58	𝜇𝑛1(𝐶𝑛1	𝜇𝑛1(𝐶𝑛1	NOUN
cana-1240	334	59	)	)	PUNCT
cana-1240	334	60	𝜇𝑛2(𝐶𝑛2	𝜇𝑛2(𝐶𝑛2	NOUN
cana-1240	334	61	)	)	PUNCT
cana-1240	334	62	⋱	⋱	PUNCT
cana-1240	334	63	⋮	⋮	NOUN
cana-1240	334	64	…	…	PUNCT
cana-1240	334	65	𝜇𝑛𝑛(𝐶𝑛𝑛	𝜇𝑛𝑛(𝐶𝑛𝑛	NOUN
cana-1240	334	66	)	)	PUNCT
cana-1240	334	67	)	)	PUNCT
cana-1240	334	68	(	(	PUNCT
cana-1240	334	69	49	49	X
cana-1240	334	70	)	)	PUNCT
cana-1240	334	71	communications	communication	NOUN
cana-1240	334	72	on	on	ADP
cana-1240	334	73	applied	apply	VERB
cana-1240	334	74	nonlinear	nonlinear	ADJ
cana-1240	334	75	analysis	analysis	NOUN
cana-1240	334	76	issn	issn	NOUN
cana-1240	334	77	:	:	PUNCT
cana-1240	334	78	1074	1074	NUM
cana-1240	334	79	-	-	PUNCT
cana-1240	334	80	133x	133x	NUM
cana-1240	334	81	vol	vol	NOUN
cana-1240	334	82	31	31	NUM
cana-1240	334	83	no	no	NOUN
cana-1240	334	84	.	.	PUNCT
cana-1240	335	1	6s	6s	NUM
cana-1240	335	2	(	(	PUNCT
cana-1240	335	3	2024	2024	NUM
cana-1240	335	4	)	)	PUNCT
cana-1240	335	5	515	515	NUM
cana-1240	335	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1240	335	7	𝑐𝑖𝑗	𝑐𝑖𝑗	NOUN
cana-1240	335	8	=	=	SYM
cana-1240	335	9	(	(	PUNCT
cana-1240	335	10	𝑙𝑖𝑗	𝑙𝑖𝑗	PROPN
cana-1240	335	11	,	,	PUNCT
cana-1240	335	12	𝑚𝑖𝑗	𝑚𝑖𝑗	NOUN
cana-1240	335	13	,	,	PUNCT
cana-1240	335	14	𝑛𝑖𝑗	𝑛𝑖𝑗	NOUN
cana-1240	335	15	,	,	PUNCT
cana-1240	335	16	𝑠𝑖𝑗	𝑠𝑖𝑗	PROPN
cana-1240	335	17	,	,	PUNCT
cana-1240	335	18	𝑡𝑖𝑗	𝑡𝑖𝑗	PROPN
cana-1240	335	19	)	)	PUNCT
cana-1240	335	20	(	(	PUNCT
cana-1240	335	21	50	50	NUM
cana-1240	335	22	)	)	PUNCT
cana-1240	335	23	in	in	ADP
cana-1240	335	24	this	this	DET
cana-1240	335	25	case	case	NOUN
cana-1240	335	26	,	,	PUNCT
cana-1240	335	27	the	the	DET
cana-1240	335	28	crisp	crisp	ADJ
cana-1240	335	29	value	value	NOUN
cana-1240	335	30	for	for	ADP
cana-1240	335	31	the	the	DET
cana-1240	335	32	comparison	comparison	NOUN
cana-1240	335	33	between	between	ADP
cana-1240	335	34	features	feature	NOUN
cana-1240	335	35	𝑖	𝑖	X
cana-1240	335	36	and	and	CCONJ
cana-1240	335	37	𝑗	𝑗	PROPN
cana-1240	335	38	is	be	AUX
cana-1240	335	39	represented	represent	VERB
cana-1240	335	40	by	by	ADP
cana-1240	335	41	a	a	DET
cana-1240	335	42	𝐶𝑖𝑗	𝐶𝑖𝑗	PROPN
cana-1240	335	43	and	and	CCONJ
cana-1240	335	44	the	the	DET
cana-1240	335	45	fuzzy	fuzzy	ADJ
cana-1240	335	46	number	number	NOUN
cana-1240	335	47	is	be	AUX
cana-1240	335	48	represented	represent	VERB
cana-1240	335	49	by	by	ADP
cana-1240	335	50	𝜇𝑖𝑗(𝐶𝑖𝑗	𝜇𝑖𝑗(𝐶𝑖𝑗	PROPN
cana-1240	335	51	)	)	PUNCT
cana-1240	335	52	using	use	VERB
cana-1240	335	53	the	the	DET
cana-1240	335	54	sigmoid	sigmoid	NOUN
cana-1240	335	55	membership	membership	NOUN
cana-1240	335	56	function	function	NOUN
cana-1240	335	57	.	.	PUNCT
cana-1240	336	1	a	a	DET
cana-1240	336	2	more	more	ADV
cana-1240	336	3	sophisticated	sophisticated	ADJ
cana-1240	336	4	representation	representation	NOUN
cana-1240	336	5	of	of	ADP
cana-1240	336	6	ambiguity	ambiguity	NOUN
cana-1240	336	7	and	and	CCONJ
cana-1240	336	8	uncertainty	uncertainty	NOUN
cana-1240	336	9	in	in	ADP
cana-1240	336	10	the	the	DET
cana-1240	336	11	decision	decision	NOUN
cana-1240	336	12	-	-	PUNCT
cana-1240	336	13	making	make	VERB
cana-1240	336	14	process	process	NOUN
cana-1240	336	15	is	be	AUX
cana-1240	336	16	possible	possible	ADJ
cana-1240	336	17	with	with	ADP
cana-1240	336	18	this	this	DET
cana-1240	336	19	modified	modify	VERB
cana-1240	336	20	version	version	NOUN
cana-1240	336	21	of	of	ADP
cana-1240	336	22	the	the	DET
cana-1240	336	23	fuzzy	fuzzy	ADJ
cana-1240	336	24	ahp	ahp	NOUN
cana-1240	336	25	technique	technique	NOUN
cana-1240	336	26	.	.	PUNCT
cana-1240	337	1	(	(	PUNCT
cana-1240	337	2	iii	iii	X
cana-1240	337	3	)	)	PUNCT
cana-1240	337	4	determine	determine	VERB
cana-1240	337	5	the	the	DET
cana-1240	337	6	matrix	matrix	NOUN
cana-1240	337	7	's	's	PART
cana-1240	337	8	largest	large	ADJ
cana-1240	337	9	eigenvalue	eigenvalue	NOUN
cana-1240	337	10	the	the	DET
cana-1240	337	11	following	follow	VERB
cana-1240	337	12	formula	formula	NOUN
cana-1240	337	13	can	can	AUX
cana-1240	337	14	be	be	AUX
cana-1240	337	15	used	use	VERB
cana-1240	337	16	to	to	PART
cana-1240	337	17	determine	determine	VERB
cana-1240	337	18	the	the	DET
cana-1240	337	19	matrix	matrix	NOUN
cana-1240	337	20	's	's	PART
cana-1240	337	21	largest	large	ADJ
cana-1240	337	22	eigenvalue	eigenvalue	NOUN
cana-1240	337	23	:	:	PUNCT
cana-1240	337	24	𝑋𝑤	𝑋𝑤	PROPN
cana-1240	337	25	=	=	PUNCT
cana-1240	337	26	𝜆𝑚𝑎𝑥𝑤	𝜆𝑚𝑎𝑥𝑤	NOUN
cana-1240	337	27	(	(	PUNCT
cana-1240	337	28	51	51	NUM
cana-1240	337	29	)	)	PUNCT
cana-1240	337	30	where	where	SCONJ
cana-1240	337	31	w	w	NOUN
cana-1240	337	32	is	be	AUX
cana-1240	337	33	the	the	DET
cana-1240	337	34	matrix	matrix	NOUN
cana-1240	337	35	's	's	PART
cana-1240	337	36	principal	principal	ADJ
cana-1240	337	37	eigenvector	eigenvector	NOUN
cana-1240	337	38	.	.	PUNCT
cana-1240	338	1	(	(	PUNCT
cana-1240	338	2	iv	iv	X
cana-1240	338	3	)	)	PUNCT
cana-1240	338	4	consistency	consistency	NOUN
cana-1240	338	5	check	check	VERB
cana-1240	338	6	the	the	DET
cana-1240	338	7	consistency	consistency	NOUN
cana-1240	338	8	ratio	ratio	NOUN
cana-1240	338	9	(	(	PUNCT
cana-1240	338	10	cr	cr	PROPN
cana-1240	338	11	)	)	PUNCT
cana-1240	338	12	,	,	PUNCT
cana-1240	338	13	which	which	PRON
cana-1240	338	14	is	be	AUX
cana-1240	338	15	defined	define	VERB
cana-1240	338	16	as	as	ADP
cana-1240	338	17	follows	follow	VERB
cana-1240	338	18	,	,	PUNCT
cana-1240	338	19	can	can	AUX
cana-1240	338	20	be	be	AUX
cana-1240	338	21	used	use	VERB
cana-1240	338	22	to	to	PART
cana-1240	338	23	assess	assess	VERB
cana-1240	338	24	the	the	DET
cana-1240	338	25	consistency	consistency	NOUN
cana-1240	338	26	of	of	ADP
cana-1240	338	27	the	the	DET
cana-1240	338	28	comparison	comparison	NOUN
cana-1240	338	29	matrix	matrix	NOUN
cana-1240	338	30	.	.	PUNCT
cana-1240	339	1	𝐶𝑅	𝐶𝑅	PROPN
cana-1240	339	2	=	=	SYM
cana-1240	339	3	𝐶𝐼	𝐶𝐼	PROPN
cana-1240	339	4	𝑅𝐼	𝑅𝐼	PROPN
cana-1240	339	5	(	(	PUNCT
cana-1240	339	6	52	52	NUM
cana-1240	339	7	)	)	PUNCT
cana-1240	339	8	𝐶𝐼	𝐶𝐼	NOUN
cana-1240	339	9	=	=	PUNCT
cana-1240	339	10	𝜆𝑚𝑎𝑥−𝑛	𝜆𝑚𝑎𝑥−𝑛	NUM
cana-1240	339	11	𝑛−1	𝑛−1	PROPN
cana-1240	339	12	(	(	PUNCT
cana-1240	339	13	53	53	NUM
cana-1240	339	14	)	)	PUNCT
cana-1240	339	15	where	where	SCONJ
cana-1240	339	16	ri	ri	PROPN
cana-1240	339	17	is	be	AUX
cana-1240	339	18	the	the	DET
cana-1240	339	19	random	random	ADJ
cana-1240	339	20	index	index	NOUN
cana-1240	339	21	and	and	CCONJ
cana-1240	339	22	ci	ci	NOUN
cana-1240	339	23	is	be	AUX
cana-1240	339	24	the	the	DET
cana-1240	339	25	consistency	consistency	NOUN
cana-1240	339	26	index	index	NOUN
cana-1240	339	27	.	.	PUNCT
cana-1240	340	1	pair	pair	NOUN
cana-1240	340	2	-	-	PUNCT
cana-1240	340	3	wise	wise	ADJ
cana-1240	340	4	comparisons	comparison	NOUN
cana-1240	340	5	should	should	AUX
cana-1240	340	6	be	be	AUX
cana-1240	340	7	revised	revise	VERB
cana-1240	340	8	if	if	SCONJ
cana-1240	340	9	the	the	DET
cana-1240	340	10	matrix	matrix	NOUN
cana-1240	340	11	's	's	PART
cana-1240	340	12	consistency	consistency	NOUN
cana-1240	340	13	is	be	AUX
cana-1240	340	14	deemed	deem	VERB
cana-1240	340	15	acceptable	acceptable	ADJ
cana-1240	340	16	,	,	PUNCT
cana-1240	340	17	which	which	PRON
cana-1240	340	18	usually	usually	ADV
cana-1240	340	19	happens	happen	VERB
cana-1240	340	20	only	only	ADV
cana-1240	340	21	if	if	SCONJ
cana-1240	340	22	the	the	DET
cana-1240	340	23	coefficient	coefficient	NOUN
cana-1240	340	24	of	of	ADP
cana-1240	340	25	determination	determination	NOUN
cana-1240	340	26	(	(	PUNCT
cana-1240	340	27	cr	cr	NOUN
cana-1240	340	28	)	)	PUNCT
cana-1240	340	29	is	be	AUX
cana-1240	340	30	less	less	ADJ
cana-1240	340	31	than	than	ADP
cana-1240	340	32	0.10	0.10	NUM
cana-1240	340	33	.	.	PUNCT
cana-1240	341	1	(	(	PUNCT
cana-1240	341	2	v	v	NOUN
cana-1240	341	3	)	)	PUNCT
cana-1240	341	4	fuzzy	fuzzy	ADJ
cana-1240	341	5	geometric	geometric	ADJ
cana-1240	341	6	mean	mean	NOUN
cana-1240	341	7	each	each	DET
cana-1240	341	8	criterion	criterion	NOUN
cana-1240	341	9	's	's	PART
cana-1240	341	10	fuzzy	fuzzy	ADJ
cana-1240	341	11	geometric	geometric	ADJ
cana-1240	341	12	mean	mean	NOUN
cana-1240	341	13	is	be	AUX
cana-1240	341	14	calculated	calculate	VERB
cana-1240	341	15	using	use	VERB
cana-1240	341	16	the	the	DET
cana-1240	341	17	equation	equation	NOUN
cana-1240	341	18	(	(	PUNCT
cana-1240	341	19	54	54	NUM
cana-1240	341	20	)	)	PUNCT
cana-1240	341	21	.	.	PUNCT
cana-1240	342	1	�	�	PROPN
cana-1240	342	2	̃	̃	PROPN
cana-1240	342	3	�	�	PROPN
cana-1240	342	4	𝑖	𝑖	SYM
cana-1240	342	5	=	=	PUNCT
cana-1240	342	6	(	(	PUNCT
cana-1240	342	7	∏	∏	X
cana-1240	342	8	𝑐𝑖𝑗	𝑐𝑖𝑗	VERB
cana-1240	342	9	𝑛	𝑛	PROPN
cana-1240	342	10	𝑗=1	𝑗=1	PROPN
cana-1240	342	11	)	)	PUNCT
cana-1240	343	1	1	1	NUM
cana-1240	343	2	𝑛⁄	𝑛⁄	NUM
cana-1240	343	3	𝑖	𝑖	NOUN
cana-1240	343	4	=	=	SYM
cana-1240	343	5	1,2	1,2	NUM
cana-1240	343	6	,	,	PUNCT
cana-1240	343	7	…	…	PUNCT
cana-1240	343	8	…	…	PUNCT
cana-1240	343	9	,	,	PUNCT
cana-1240	343	10	𝑛	𝑛	X
cana-1240	343	11	(	(	PUNCT
cana-1240	343	12	54	54	NUM
cana-1240	343	13	)	)	PUNCT
cana-1240	343	14	where	where	SCONJ
cana-1240	343	15	𝑐𝑖𝑗	𝑐𝑖𝑗	NOUN
cana-1240	343	16	is	be	AUX
cana-1240	343	17	the	the	DET
cana-1240	343	18	group	group	NOUN
cana-1240	343	19	of	of	ADP
cana-1240	343	20	decision	decision	NOUN
cana-1240	343	21	-	-	PUNCT
cana-1240	343	22	makers	maker	NOUN
cana-1240	343	23	'	'	PART
cana-1240	343	24	fuzzy	fuzzy	ADJ
cana-1240	343	25	comparison	comparison	NOUN
cana-1240	343	26	value	value	NOUN
cana-1240	343	27	with	with	ADP
cana-1240	343	28	respect	respect	NOUN
cana-1240	343	29	to	to	ADP
cana-1240	343	30	the	the	DET
cana-1240	343	31	𝑖	𝑖	X
cana-1240	343	32	th	th	X
cana-1240	343	33	dimension	dimension	NOUN
cana-1240	343	34	over	over	ADP
cana-1240	343	35	the	the	DET
cana-1240	343	36	𝑗th	𝑗th	PROPN
cana-1240	343	37	criterion	criterion	NOUN
cana-1240	343	38	,	,	PUNCT
cana-1240	343	39	and	and	CCONJ
cana-1240	343	40	�	�	PROPN
cana-1240	343	41	̃	̃	PROPN
cana-1240	343	42	�	�	NOUN
cana-1240	343	43	𝑖	𝑖	NOUN
cana-1240	343	44	is	be	AUX
cana-1240	343	45	the	the	DET
cana-1240	343	46	fuzzy	fuzzy	ADJ
cana-1240	343	47	geometric	geometric	ADJ
cana-1240	343	48	mean	mean	NOUN
cana-1240	343	49	.	.	PUNCT
cana-1240	344	1	(	(	PUNCT
cana-1240	344	2	vi	vi	NOUN
cana-1240	344	3	)	)	PUNCT
cana-1240	344	4	fuzzy	fuzzy	ADJ
cana-1240	344	5	weight	weight	NOUN
cana-1240	344	6	and	and	CCONJ
cana-1240	344	7	defuzzification	defuzzification	NOUN
cana-1240	344	8	equation	equation	NOUN
cana-1240	344	9	(	(	PUNCT
cana-1240	344	10	5	5	X
cana-1240	344	11	)	)	PUNCT
cana-1240	344	12	calculates	calculate	VERB
cana-1240	344	13	each	each	DET
cana-1240	344	14	criterion	criterion	NOUN
cana-1240	344	15	's	's	PART
cana-1240	344	16	fuzzy	fuzzy	ADJ
cana-1240	344	17	weight	weight	NOUN
cana-1240	344	18	.	.	PUNCT
cana-1240	345	1	�	�	PROPN
cana-1240	345	2	̃	̃	PROPN
cana-1240	345	3	�	�	PROPN
cana-1240	345	4	𝑖	𝑖	SYM
cana-1240	345	5	=	=	SYM
cana-1240	345	6	�	�	PROPN
cana-1240	345	7	̃	̃	PROPN
cana-1240	345	8	�	�	PROPN
cana-1240	345	9	𝑖	𝑖	SYM
cana-1240	345	10	×	×	PROPN
cana-1240	345	11	(	(	PUNCT
cana-1240	345	12	�	�	PROPN
cana-1240	345	13	̃	̃	NOUN
cana-1240	345	14	�	�	NOUN
cana-1240	345	15	1	1	NUM
cana-1240	345	16	+	+	NUM
cana-1240	345	17	�	�	PROPN
cana-1240	345	18	̃	̃	NOUN
cana-1240	345	19	�	�	NOUN
cana-1240	345	20	2	2	NUM
cana-1240	345	21	+	+	SYM
cana-1240	345	22	⋯	⋯	NOUN
cana-1240	345	23	…	…	SYM
cana-1240	345	24	+	+	NUM
cana-1240	345	25	�	�	PROPN
cana-1240	345	26	̃	̃	PROPN
cana-1240	345	27	�	�	NOUN
cana-1240	345	28	𝑛	𝑛	NOUN
cana-1240	345	29	)	)	PUNCT
cana-1240	345	30	−1	−1	NOUN
cana-1240	345	31	(	(	PUNCT
cana-1240	345	32	55	55	NUM
cana-1240	345	33	)	)	PUNCT
cana-1240	345	34	the	the	DET
cana-1240	345	35	fuzzy	fuzzy	ADJ
cana-1240	345	36	weight	weight	NOUN
cana-1240	345	37	should	should	AUX
cana-1240	345	38	be	be	AUX
cana-1240	345	39	defuzzied	defuzzie	VERB
cana-1240	345	40	using	use	VERB
cana-1240	345	41	the	the	DET
cana-1240	345	42	average	average	ADJ
cana-1240	345	43	weight	weight	NOUN
cana-1240	345	44	criterion	criterion	NOUN
cana-1240	346	1	𝑀𝑖	𝑀𝑖	PROPN
cana-1240	346	2	using	use	VERB
cana-1240	346	3	the	the	DET
cana-1240	346	4	equation	equation	NOUN
cana-1240	346	5	(	(	PUNCT
cana-1240	346	6	56	56	NUM
cana-1240	346	7	)	)	PUNCT
cana-1240	346	8	.	.	PUNCT
cana-1240	347	1	𝑀𝑖	𝑀𝑖	PROPN
cana-1240	347	2	=	=	SYM
cana-1240	347	3	�	�	PROPN
cana-1240	347	4	̃	̃	PROPN
cana-1240	347	5	�	�	PROPN
cana-1240	347	6	1+	1+	NUM
cana-1240	347	7	�	�	PROPN
cana-1240	347	8	̃	̃	PROPN
cana-1240	347	9	�	�	NOUN
cana-1240	347	10	2+⋯	2+⋯	NUM
cana-1240	347	11	…	…	SYM
cana-1240	347	12	+	+	ADJ
cana-1240	347	13	�	�	PROPN
cana-1240	347	14	̃	̃	NOUN
cana-1240	347	15	�	�	PROPN
cana-1240	347	16	𝑛	𝑛	PRON
cana-1240	347	17	𝑛	𝑛	PROPN
cana-1240	347	18	(	(	PUNCT
cana-1240	347	19	56	56	NUM
cana-1240	347	20	)	)	PUNCT
cana-1240	347	21	(	(	PUNCT
cana-1240	347	22	vii	vii	PROPN
cana-1240	347	23	)	)	PUNCT
cana-1240	347	24	normalized	normalize	VERB
cana-1240	347	25	weight	weight	NOUN
cana-1240	347	26	criteria	criterion	NOUN
cana-1240	347	27	the	the	DET
cana-1240	347	28	weight	weight	NOUN
cana-1240	347	29	criteria	criterion	NOUN
cana-1240	347	30	that	that	PRON
cana-1240	347	31	are	be	AUX
cana-1240	347	32	normalized	normalize	VERB
cana-1240	347	33	𝑁𝑖	𝑁𝑖	PROPN
cana-1240	347	34	is	be	AUX
cana-1240	347	35	determined	determine	VERB
cana-1240	347	36	using	use	VERB
cana-1240	347	37	equation	equation	NOUN
cana-1240	347	38	(	(	PUNCT
cana-1240	347	39	57	57	NUM
cana-1240	347	40	)	)	PUNCT
cana-1240	347	41	.	.	PUNCT
cana-1240	348	1	𝑁𝑖	𝑁𝑖	PROPN
cana-1240	348	2	=	=	PUNCT
cana-1240	348	3	𝑀𝑖	𝑀𝑖	PROPN
cana-1240	348	4	∑	∑	PUNCT
cana-1240	348	5	𝑀𝑖	𝑀𝑖	PROPN
cana-1240	348	6	𝑛	𝑛	PRON
cana-1240	348	7	𝑖=1	𝑖=1	PROPN
cana-1240	348	8	(	(	PUNCT
cana-1240	348	9	57	57	NUM
cana-1240	348	10	)	)	PUNCT
cana-1240	348	11	communications	communication	NOUN
cana-1240	348	12	on	on	ADP
cana-1240	348	13	applied	apply	VERB
cana-1240	348	14	nonlinear	nonlinear	ADJ
cana-1240	348	15	analysis	analysis	NOUN
cana-1240	348	16	issn	issn	NOUN
cana-1240	348	17	:	:	PUNCT
cana-1240	348	18	1074	1074	NUM
cana-1240	348	19	-	-	PUNCT
cana-1240	348	20	133x	133x	NUM
cana-1240	348	21	vol	vol	NOUN
cana-1240	348	22	31	31	NUM
cana-1240	348	23	no	no	NOUN
cana-1240	348	24	.	.	PUNCT
cana-1240	349	1	6s	6s	NUM
cana-1240	349	2	(	(	PUNCT
cana-1240	349	3	2024	2024	NUM
cana-1240	349	4	)	)	PUNCT
cana-1240	349	5	516	516	NUM
cana-1240	349	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1240	349	7	a	a	DET
cana-1240	349	8	comprehensive	comprehensive	ADJ
cana-1240	349	9	framework	framework	NOUN
cana-1240	349	10	for	for	ADP
cana-1240	349	11	making	make	VERB
cana-1240	349	12	decisions	decision	NOUN
cana-1240	349	13	in	in	ADP
cana-1240	349	14	the	the	DET
cana-1240	349	15	face	face	NOUN
cana-1240	349	16	of	of	ADP
cana-1240	349	17	uncertainty	uncertainty	NOUN
cana-1240	349	18	is	be	AUX
cana-1240	349	19	offered	offer	VERB
cana-1240	349	20	by	by	ADP
cana-1240	349	21	the	the	DET
cana-1240	349	22	modified	modify	VERB
cana-1240	349	23	fuzzy	fuzzy	ADJ
cana-1240	349	24	ahp	ahp	PROPN
cana-1240	349	25	.	.	PUNCT
cana-1240	350	1	fuzzy	fuzzy	ADJ
cana-1240	350	2	logic	logic	NOUN
cana-1240	350	3	is	be	AUX
cana-1240	350	4	smoothly	smoothly	ADV
cana-1240	350	5	incorporated	incorporate	VERB
cana-1240	350	6	with	with	ADP
cana-1240	350	7	the	the	DET
cana-1240	350	8	conventional	conventional	ADJ
cana-1240	350	9	ahp	ahp	NOUN
cana-1240	350	10	,	,	PUNCT
cana-1240	350	11	enabling	enable	VERB
cana-1240	350	12	a	a	DET
cana-1240	350	13	more	more	ADV
cana-1240	350	14	complex	complex	ADJ
cana-1240	350	15	depiction	depiction	NOUN
cana-1240	350	16	of	of	ADP
cana-1240	350	17	ambiguity	ambiguity	NOUN
cana-1240	350	18	and	and	CCONJ
cana-1240	350	19	uncertainty	uncertainty	NOUN
cana-1240	350	20	.	.	PUNCT
cana-1240	351	1	decision	decision	NOUN
cana-1240	351	2	-	-	PUNCT
cana-1240	351	3	making	make	VERB
cana-1240	351	4	processes	process	NOUN
cana-1240	351	5	are	be	AUX
cana-1240	351	6	made	make	VERB
cana-1240	351	7	more	more	ADV
cana-1240	351	8	accurate	accurate	ADJ
cana-1240	351	9	and	and	CCONJ
cana-1240	351	10	reliable	reliable	ADJ
cana-1240	351	11	by	by	ADP
cana-1240	351	12	incorporating	incorporate	VERB
cana-1240	351	13	fuzzy	fuzzy	ADJ
cana-1240	351	14	geometric	geometric	ADJ
cana-1240	351	15	means	mean	NOUN
cana-1240	351	16	and	and	CCONJ
cana-1240	351	17	weights	weight	NOUN
cana-1240	351	18	,	,	PUNCT
cana-1240	351	19	pfns	pfns	NOUN
cana-1240	351	20	,	,	PUNCT
cana-1240	351	21	and	and	CCONJ
cana-1240	351	22	linguistic	linguistic	ADJ
cana-1240	351	23	variables	variable	NOUN
cana-1240	351	24	.	.	PUNCT
cana-1240	352	1	the	the	DET
cana-1240	352	2	robustness	robustness	NOUN
cana-1240	352	3	of	of	ADP
cana-1240	352	4	the	the	DET
cana-1240	352	5	approach	approach	NOUN
cana-1240	352	6	is	be	AUX
cana-1240	352	7	ensured	ensure	VERB
cana-1240	352	8	by	by	ADP
cana-1240	352	9	the	the	DET
cana-1240	352	10	consistency	consistency	NOUN
cana-1240	352	11	check	check	NOUN
cana-1240	352	12	and	and	CCONJ
cana-1240	352	13	normalization	normalization	NOUN
cana-1240	352	14	steps	step	NOUN
cana-1240	352	15	,	,	PUNCT
cana-1240	352	16	which	which	PRON
cana-1240	352	17	give	give	VERB
cana-1240	352	18	decision	decision	NOUN
cana-1240	352	19	-	-	PUNCT
cana-1240	352	20	makers	maker	NOUN
cana-1240	352	21	a	a	DET
cana-1240	352	22	reliable	reliable	ADJ
cana-1240	352	23	tool	tool	NOUN
cana-1240	352	24	for	for	ADP
cana-1240	352	25	difficult	difficult	ADJ
cana-1240	352	26	decision	decision	NOUN
cana-1240	352	27	scenarios	scenario	NOUN
cana-1240	352	28	.	.	PUNCT
cana-1240	353	1	precise	precise	ADJ
cana-1240	353	2	feature	feature	NOUN
cana-1240	353	3	ranking	ranking	NOUN
cana-1240	353	4	is	be	AUX
cana-1240	353	5	essential	essential	ADJ
cana-1240	353	6	for	for	ADP
cana-1240	353	7	lung	lung	NOUN
cana-1240	353	8	cancer	cancer	NOUN
cana-1240	353	9	detection	detection	NOUN
cana-1240	353	10	in	in	ADP
cana-1240	353	11	order	order	NOUN
cana-1240	353	12	to	to	PART
cana-1240	353	13	choose	choose	VERB
cana-1240	353	14	the	the	DET
cana-1240	353	15	most	most	ADV
cana-1240	353	16	informative	informative	ADJ
cana-1240	353	17	features	feature	NOUN
cana-1240	353	18	that	that	PRON
cana-1240	353	19	have	have	VERB
cana-1240	353	20	a	a	DET
cana-1240	353	21	major	major	ADJ
cana-1240	353	22	influence	influence	NOUN
cana-1240	353	23	on	on	ADP
cana-1240	353	24	the	the	DET
cana-1240	353	25	algorithm	algorithm	NOUN
cana-1240	353	26	's	's	PART
cana-1240	353	27	decision	decision	NOUN
cana-1240	353	28	-	-	PUNCT
cana-1240	353	29	making	making	NOUN
cana-1240	353	30	.	.	PUNCT
cana-1240	354	1	the	the	DET
cana-1240	354	2	improved	improve	VERB
cana-1240	354	3	discriminatory	discriminatory	ADJ
cana-1240	354	4	power	power	NOUN
cana-1240	354	5	obtained	obtain	VERB
cana-1240	354	6	via	via	ADP
cana-1240	354	7	the	the	DET
cana-1240	354	8	utilization	utilization	NOUN
cana-1240	354	9	of	of	ADP
cana-1240	354	10	modified	modify	VERB
cana-1240	354	11	fuzzy	fuzzy	ADJ
cana-1240	354	12	ahp	ahp	NOUN
cana-1240	354	13	,	,	PUNCT
cana-1240	354	14	sigmoid	sigmoid	NOUN
cana-1240	354	15	membership	membership	NOUN
cana-1240	354	16	functions	function	NOUN
cana-1240	354	17	,	,	PUNCT
cana-1240	354	18	and	and	CCONJ
cana-1240	354	19	the	the	DET
cana-1240	354	20	hybrid	hybrid	ADJ
cana-1240	354	21	optimization	optimization	NOUN
cana-1240	354	22	algorithm	algorithm	NOUN
cana-1240	354	23	contributes	contribute	VERB
cana-1240	354	24	to	to	ADP
cana-1240	354	25	the	the	DET
cana-1240	354	26	overall	overall	ADJ
cana-1240	354	27	precision	precision	NOUN
cana-1240	354	28	and	and	CCONJ
cana-1240	354	29	dependability	dependability	NOUN
cana-1240	354	30	of	of	ADP
cana-1240	354	31	lung	lung	NOUN
cana-1240	354	32	cancer	cancer	NOUN
cana-1240	354	33	detection	detection	NOUN
cana-1240	354	34	systems	system	NOUN
cana-1240	354	35	.	.	PUNCT
cana-1240	355	1	3.5	3.5	NUM
cana-1240	355	2	.	.	PUNCT
cana-1240	355	3	fuzsquresmobilenet	fuzsquresmobilenet	PROPN
cana-1240	355	4	lung	lung	PROPN
cana-1240	355	5	cancer	cancer	NOUN
cana-1240	355	6	detection	detection	NOUN
cana-1240	355	7	model	model	VERB
cana-1240	355	8	the	the	DET
cana-1240	355	9	fuzsquresmobilenet	fuzsquresmobilenet	NOUN
cana-1240	355	10	model	model	NOUN
cana-1240	355	11	combines	combine	VERB
cana-1240	355	12	components	component	NOUN
cana-1240	355	13	from	from	ADP
cana-1240	355	14	resnet	resnet	PROPN
cana-1240	355	15	101	101	NUM
cana-1240	355	16	,	,	PUNCT
cana-1240	355	17	squeezenet	squeezenet	NOUN
cana-1240	355	18	,	,	PUNCT
cana-1240	355	19	and	and	CCONJ
cana-1240	355	20	mobilenet	mobilenet	NOUN
cana-1240	355	21	v2	v2	PROPN
cana-1240	355	22	in	in	ADP
cana-1240	355	23	a	a	DET
cana-1240	355	24	meticulously	meticulously	ADV
cana-1240	355	25	designed	design	VERB
cana-1240	355	26	architecture	architecture	NOUN
cana-1240	355	27	that	that	PRON
cana-1240	355	28	takes	take	VERB
cana-1240	355	29	advantage	advantage	NOUN
cana-1240	355	30	of	of	ADP
cana-1240	355	31	the	the	DET
cana-1240	355	32	advantages	advantage	NOUN
cana-1240	355	33	of	of	ADP
cana-1240	355	34	several	several	ADJ
cana-1240	355	35	convolutional	convolutional	ADJ
cana-1240	355	36	neural	neural	ADJ
cana-1240	355	37	network	network	NOUN
cana-1240	355	38	(	(	PUNCT
cana-1240	355	39	cnn	cnn	PROPN
cana-1240	355	40	)	)	PUNCT
cana-1240	355	41	architectures	architecture	NOUN
cana-1240	355	42	.	.	PUNCT
cana-1240	356	1	the	the	DET
cana-1240	356	2	goal	goal	NOUN
cana-1240	356	3	of	of	ADP
cana-1240	356	4	this	this	DET
cana-1240	356	5	ensemble	ensemble	ADV
cana-1240	356	6	-	-	PUNCT
cana-1240	356	7	based	base	VERB
cana-1240	356	8	method	method	NOUN
cana-1240	356	9	is	be	AUX
cana-1240	356	10	to	to	PART
cana-1240	356	11	develop	develop	VERB
cana-1240	356	12	a	a	DET
cana-1240	356	13	reliable	reliable	ADJ
cana-1240	356	14	and	and	CCONJ
cana-1240	356	15	effective	effective	ADJ
cana-1240	356	16	lung	lung	NOUN
cana-1240	356	17	cancer	cancer	NOUN
cana-1240	356	18	detection	detection	NOUN
cana-1240	356	19	model	model	NOUN
cana-1240	356	20	.	.	PUNCT
cana-1240	357	1	the	the	DET
cana-1240	357	2	input	input	NOUN
cana-1240	357	3	layer	layer	NOUN
cana-1240	357	4	,	,	PUNCT
cana-1240	357	5	which	which	PRON
cana-1240	357	6	takes	take	VERB
cana-1240	357	7	in	in	ADP
cana-1240	357	8	the	the	DET
cana-1240	357	9	images	image	NOUN
cana-1240	357	10	from	from	ADP
cana-1240	357	11	the	the	DET
cana-1240	357	12	previous	previous	ADJ
cana-1240	357	13	stage	stage	NOUN
cana-1240	357	14	of	of	ADP
cana-1240	357	15	feature	feature	NOUN
cana-1240	357	16	ranking	ranking	NOUN
cana-1240	357	17	,	,	PUNCT
cana-1240	357	18	is	be	AUX
cana-1240	357	19	where	where	SCONJ
cana-1240	357	20	the	the	DET
cana-1240	357	21	model	model	NOUN
cana-1240	357	22	starts	start	VERB
cana-1240	357	23	.	.	PUNCT
cana-1240	358	1	subsequently	subsequently	ADV
cana-1240	358	2	,	,	PUNCT
cana-1240	358	3	the	the	DET
cana-1240	358	4	architecture	architecture	NOUN
cana-1240	358	5	includes	include	VERB
cana-1240	358	6	resnet	resnet	VERB
cana-1240	358	7	101	101	NUM
cana-1240	358	8	's	's	PART
cana-1240	358	9	conv	conv	ADJ
cana-1240	358	10	1	1	NUM
cana-1240	358	11	,	,	PUNCT
cana-1240	358	12	the	the	DET
cana-1240	358	13	first	first	ADJ
cana-1240	358	14	convolutional	convolutional	ADJ
cana-1240	358	15	layer	layer	NOUN
cana-1240	358	16	.	.	PUNCT
cana-1240	359	1	the	the	DET
cana-1240	359	2	foundation	foundation	NOUN
cana-1240	359	3	for	for	ADP
cana-1240	359	4	basic	basic	ADJ
cana-1240	359	5	feature	feature	NOUN
cana-1240	359	6	extraction	extraction	NOUN
cana-1240	359	7	is	be	AUX
cana-1240	359	8	this	this	DET
cana-1240	359	9	layer	layer	NOUN
cana-1240	359	10	.	.	PUNCT
cana-1240	360	1	three	three	NUM
cana-1240	360	2	convolutional	convolutional	ADJ
cana-1240	360	3	blocks	block	NOUN
cana-1240	360	4	from	from	ADP
cana-1240	360	5	resnet	resnet	PROPN
cana-1240	360	6	101	101	NUM
cana-1240	360	7	make	make	VERB
cana-1240	360	8	up	up	ADP
cana-1240	360	9	the	the	DET
cana-1240	360	10	next	next	ADJ
cana-1240	360	11	layer	layer	NOUN
cana-1240	360	12	,	,	PUNCT
cana-1240	360	13	conv3x	conv3x	NOUN
cana-1240	360	14	,	,	PUNCT
cana-1240	360	15	and	and	CCONJ
cana-1240	360	16	each	each	PRON
cana-1240	360	17	has	have	VERB
cana-1240	360	18	residual	residual	ADJ
cana-1240	360	19	connections	connection	NOUN
cana-1240	360	20	.	.	PUNCT
cana-1240	361	1	this	this	DET
cana-1240	361	2	configuration	configuration	NOUN
cana-1240	361	3	makes	make	VERB
cana-1240	361	4	it	it	PRON
cana-1240	361	5	easier	easy	ADJ
cana-1240	361	6	to	to	PART
cana-1240	361	7	optimize	optimize	VERB
cana-1240	361	8	during	during	ADP
cana-1240	361	9	the	the	DET
cana-1240	361	10	training	training	NOUN
cana-1240	361	11	process	process	NOUN
cana-1240	361	12	and	and	CCONJ
cana-1240	361	13	allows	allow	VERB
cana-1240	361	14	for	for	ADP
cana-1240	361	15	deeper	deep	ADJ
cana-1240	361	16	feature	feature	NOUN
cana-1240	361	17	extraction	extraction	NOUN
cana-1240	361	18	.	.	PUNCT
cana-1240	362	1	the	the	DET
cana-1240	362	2	architecture	architecture	NOUN
cana-1240	362	3	incorporates	incorporate	VERB
cana-1240	362	4	the	the	DET
cana-1240	362	5	squeezenet	squeezenet	NOUN
cana-1240	362	6	fire	fire	NOUN
cana-1240	362	7	module	module	NOUN
cana-1240	362	8	to	to	PART
cana-1240	362	9	enable	enable	VERB
cana-1240	362	10	effective	effective	ADJ
cana-1240	362	11	feature	feature	NOUN
cana-1240	362	12	processing	processing	NOUN
cana-1240	362	13	.	.	PUNCT
cana-1240	363	1	this	this	DET
cana-1240	363	2	module	module	NOUN
cana-1240	363	3	expands	expand	VERB
cana-1240	363	4	features	feature	NOUN
cana-1240	363	5	and	and	CCONJ
cana-1240	363	6	creates	create	VERB
cana-1240	363	7	richer	rich	ADJ
cana-1240	363	8	representations	representation	NOUN
cana-1240	363	9	by	by	ADP
cana-1240	363	10	using	use	VERB
cana-1240	363	11	1x1	1x1	NUM
cana-1240	363	12	and	and	CCONJ
cana-1240	363	13	3x3	3x3	NUM
cana-1240	363	14	convolutions	convolution	NOUN
cana-1240	363	15	to	to	PART
cana-1240	363	16	compress	compress	VERB
cana-1240	363	17	input	input	NOUN
cana-1240	363	18	channels	channel	NOUN
cana-1240	363	19	and	and	CCONJ
cana-1240	363	20	expand	expand	VERB
cana-1240	363	21	features	feature	NOUN
cana-1240	363	22	,	,	PUNCT
cana-1240	363	23	respectively	respectively	ADV
cana-1240	363	24	.	.	PUNCT
cana-1240	364	1	the	the	DET
cana-1240	364	2	model	model	NOUN
cana-1240	364	3	then	then	ADV
cana-1240	364	4	goes	go	VERB
cana-1240	364	5	through	through	ADP
cana-1240	364	6	further	further	ADJ
cana-1240	364	7	feature	feature	NOUN
cana-1240	364	8	processing	process	VERB
cana-1240	364	9	through	through	ADP
cana-1240	364	10	conv4x	conv4x	PROPN
cana-1240	364	11	(	(	PUNCT
cana-1240	364	12	resnet	resnet	PROPN
cana-1240	364	13	101	101	NUM
cana-1240	364	14	)	)	PUNCT
cana-1240	364	15	and	and	CCONJ
cana-1240	364	16	the	the	DET
cana-1240	364	17	fire	fire	NOUN
cana-1240	364	18	module	module	NOUN
cana-1240	364	19	,	,	PUNCT
cana-1240	364	20	followed	follow	VERB
cana-1240	364	21	by	by	ADP
cana-1240	364	22	further	further	ADJ
cana-1240	364	23	enhancement	enhancement	NOUN
cana-1240	364	24	with	with	ADP
cana-1240	364	25	conv	conv	PROPN
cana-1240	364	26	23x	23x	PROPN
cana-1240	364	27	(	(	PUNCT
cana-1240	364	28	resnet	resnet	NOUN
cana-1240	364	29	101	101	NUM
cana-1240	364	30	)	)	PUNCT
cana-1240	364	31	and	and	CCONJ
cana-1240	364	32	the	the	DET
cana-1240	364	33	fire	fire	NOUN
cana-1240	364	34	module	module	NOUN
cana-1240	364	35	.	.	PUNCT
cana-1240	365	1	resnet	resnet	VERB
cana-1240	365	2	101	101	NUM
cana-1240	365	3	blocks	block	NOUN
cana-1240	365	4	and	and	CCONJ
cana-1240	365	5	squeezenet	squeezenet	NOUN
cana-1240	365	6	's	's	PART
cana-1240	365	7	fire	fire	NOUN
cana-1240	365	8	module	module	NOUN
cana-1240	365	9	work	work	NOUN
cana-1240	365	10	together	together	ADV
cana-1240	365	11	to	to	PART
cana-1240	365	12	balance	balance	VERB
cana-1240	365	13	computational	computational	ADJ
cana-1240	365	14	efficiency	efficiency	NOUN
cana-1240	365	15	and	and	CCONJ
cana-1240	365	16	feature	feature	NOUN
cana-1240	365	17	extraction	extraction	NOUN
cana-1240	365	18	capabilities.thearchitecture	capabilities.thearchitecture	NOUN
cana-1240	365	19	further	far	ADV
cana-1240	365	20	refines	refine	VERB
cana-1240	365	21	features	feature	NOUN
cana-1240	365	22	with	with	ADP
cana-1240	365	23	conv	conv	ADJ
cana-1240	365	24	3x	3x	PROPN
cana-1240	365	25	(	(	PUNCT
cana-1240	365	26	resnet	resnet	NOUN
cana-1240	365	27	101	101	NUM
cana-1240	365	28	)	)	PUNCT
cana-1240	365	29	and	and	CCONJ
cana-1240	365	30	the	the	DET
cana-1240	365	31	fire	fire	NOUN
cana-1240	365	32	module	module	NOUN
cana-1240	365	33	in	in	ADP
cana-1240	365	34	the	the	DET
cana-1240	365	35	final	final	ADJ
cana-1240	365	36	resnet	resnet	NOUN
cana-1240	365	37	101	101	NUM
cana-1240	365	38	blocks	block	NOUN
cana-1240	365	39	.	.	PUNCT
cana-1240	366	1	for	for	ADP
cana-1240	366	2	computational	computational	ADJ
cana-1240	366	3	efficiency	efficiency	NOUN
cana-1240	366	4	,	,	PUNCT
cana-1240	366	5	a	a	DET
cana-1240	366	6	depthwise	depthwise	NOUN
cana-1240	366	7	separable	separable	ADJ
cana-1240	366	8	convolution	convolution	NOUN
cana-1240	366	9	layer	layer	NOUN
cana-1240	366	10	from	from	ADP
cana-1240	366	11	mobilenet	mobilenet	NOUN
cana-1240	366	12	v2	v2	PROPN
cana-1240	366	13	is	be	AUX
cana-1240	366	14	also	also	ADV
cana-1240	366	15	introduced	introduce	VERB
cana-1240	366	16	.	.	PUNCT
cana-1240	367	1	by	by	ADP
cana-1240	367	2	factorizing	factorize	VERB
cana-1240	367	3	convolutions	convolution	NOUN
cana-1240	367	4	,	,	PUNCT
cana-1240	367	5	this	this	DET
cana-1240	367	6	layer	layer	NOUN
cana-1240	367	7	lowers	lower	VERB
cana-1240	367	8	the	the	DET
cana-1240	367	9	number	number	NOUN
cana-1240	367	10	of	of	ADP
cana-1240	367	11	parameters	parameter	NOUN
cana-1240	367	12	and	and	CCONJ
cana-1240	367	13	speeds	speed	NOUN
cana-1240	367	14	up	up	ADP
cana-1240	367	15	inference	inference	NOUN
cana-1240	367	16	.	.	PUNCT
cana-1240	368	1	then	then	ADV
cana-1240	368	2	,	,	PUNCT
cana-1240	368	3	to	to	PART
cana-1240	368	4	downsample	downsample	VERB
cana-1240	368	5	feature	feature	NOUN
cana-1240	368	6	maps	map	NOUN
cana-1240	368	7	and	and	CCONJ
cana-1240	368	8	lower	low	ADJ
cana-1240	368	9	dimensionality	dimensionality	NOUN
cana-1240	368	10	and	and	CCONJ
cana-1240	368	11	computational	computational	ADJ
cana-1240	368	12	costs	cost	NOUN
cana-1240	368	13	in	in	ADP
cana-1240	368	14	later	later	ADJ
cana-1240	368	15	layers	layer	NOUN
cana-1240	368	16	,	,	PUNCT
cana-1240	368	17	average	average	ADJ
cana-1240	368	18	pooling	pooling	NOUN
cana-1240	368	19	is	be	AUX
cana-1240	368	20	used	use	VERB
cana-1240	368	21	.	.	PUNCT
cana-1240	369	1	the	the	DET
cana-1240	369	2	fully	fully	ADV
cana-1240	369	3	connected	connect	VERB
cana-1240	369	4	(	(	PUNCT
cana-1240	369	5	fc	fc	INTJ
cana-1240	369	6	)	)	PUNCT
cana-1240	369	7	layer	layer	NOUN
cana-1240	369	8	,	,	PUNCT
cana-1240	369	9	the	the	DET
cana-1240	369	10	last	last	ADJ
cana-1240	369	11	layer	layer	NOUN
cana-1240	369	12	in	in	ADP
cana-1240	369	13	the	the	DET
cana-1240	369	14	architecture	architecture	NOUN
cana-1240	369	15	,	,	PUNCT
cana-1240	369	16	combines	combine	VERB
cana-1240	369	17	the	the	DET
cana-1240	369	18	learned	learn	VERB
cana-1240	369	19	features	feature	NOUN
cana-1240	369	20	to	to	PART
cana-1240	369	21	generate	generate	VERB
cana-1240	369	22	the	the	DET
cana-1240	369	23	output	output	NOUN
cana-1240	369	24	of	of	ADP
cana-1240	369	25	the	the	DET
cana-1240	369	26	model	model	NOUN
cana-1240	369	27	.	.	PUNCT
cana-1240	370	1	this	this	DET
cana-1240	370	2	output	output	NOUN
cana-1240	370	3	layer	layer	NOUN
cana-1240	370	4	is	be	AUX
cana-1240	370	5	probably	probably	ADV
cana-1240	370	6	a	a	DET
cana-1240	370	7	representation	representation	NOUN
cana-1240	370	8	of	of	ADP
cana-1240	370	9	class	class	NOUN
cana-1240	370	10	probabilities	probability	NOUN
cana-1240	370	11	in	in	ADP
cana-1240	370	12	the	the	DET
cana-1240	370	13	framework	framework	NOUN
cana-1240	370	14	of	of	ADP
cana-1240	370	15	lung	lung	NOUN
cana-1240	370	16	cancer	cancer	NOUN
cana-1240	370	17	detection	detection	NOUN
cana-1240	370	18	,	,	PUNCT
cana-1240	370	19	enabling	enable	VERB
cana-1240	370	20	to	to	PART
cana-1240	370	21	classify	classify	VERB
cana-1240	370	22	lung	lung	NOUN
cana-1240	370	23	cancer	cancer	NOUN
cana-1240	370	24	or	or	CCONJ
cana-1240	370	25	other	other	ADJ
cana-1240	370	26	pertinent	pertinent	ADJ
cana-1240	370	27	diagnostic	diagnostic	ADJ
cana-1240	370	28	results	result	NOUN
cana-1240	370	29	.	.	PUNCT
cana-1240	371	1	the	the	DET
cana-1240	371	2	proposed	propose	VERB
cana-1240	371	3	fuzsquresmobilenet	fuzsquresmobilenet	NOUN
cana-1240	371	4	lung	lung	NOUN
cana-1240	371	5	cancer	cancer	NOUN
cana-1240	371	6	detection	detection	NOUN
cana-1240	371	7	model	model	NOUN
cana-1240	371	8	is	be	AUX
cana-1240	371	9	shown	show	VERB
cana-1240	371	10	in	in	ADP
cana-1240	371	11	the	the	DET
cana-1240	371	12	figure	figure	NOUN
cana-1240	371	13	3	3	NUM
cana-1240	371	14	.	.	PUNCT
cana-1240	371	15	communications	communication	NOUN
cana-1240	371	16	on	on	ADP
cana-1240	371	17	applied	apply	VERB
cana-1240	371	18	nonlinear	nonlinear	ADJ
cana-1240	371	19	analysis	analysis	NOUN
cana-1240	371	20	issn	issn	NOUN
cana-1240	371	21	:	:	PUNCT
cana-1240	371	22	1074	1074	NUM
cana-1240	371	23	-	-	PUNCT
cana-1240	371	24	133x	133x	NUM
cana-1240	371	25	vol	vol	NOUN
cana-1240	371	26	31	31	NUM
cana-1240	371	27	no	no	NOUN
cana-1240	371	28	.	.	PUNCT
cana-1240	372	1	6s	6s	NUM
cana-1240	372	2	(	(	PUNCT
cana-1240	372	3	2024	2024	NUM
cana-1240	372	4	)	)	PUNCT
cana-1240	373	1	517	517	NUM
cana-1240	373	2	https://internationalpubls.com	https://internationalpubls.com	X
cana-1240	373	3	figure	figure	NOUN
cana-1240	373	4	3	3	NUM
cana-1240	373	5	:	:	PUNCT
cana-1240	373	6	proposed	propose	VERB
cana-1240	373	7	fuzsquresmobilenet	fuzsquresmobilenet	PROPN
cana-1240	373	8	lung	lung	PROPN
cana-1240	373	9	cancer	cancer	NOUN
cana-1240	373	10	detection	detection	NOUN
cana-1240	373	11	model	model	VERB
cana-1240	373	12	a	a	DET
cana-1240	373	13	convolutional	convolutional	ADJ
cana-1240	373	14	neural	neural	ADJ
cana-1240	373	15	network	network	NOUN
cana-1240	373	16	with	with	ADP
cana-1240	373	17	101	101	NUM
cana-1240	373	18	deep	deep	ADJ
cana-1240	373	19	layers	layer	NOUN
cana-1240	373	20	is	be	AUX
cana-1240	373	21	called	call	VERB
cana-1240	373	22	resnet-101	resnet-101	NOUN
cana-1240	373	23	(	(	PUNCT
cana-1240	373	24	residual	residual	ADJ
cana-1240	373	25	network	network	NOUN
cana-1240	373	26	101	101	NUM
cana-1240	373	27	)	)	PUNCT
cana-1240	373	28	.	.	PUNCT
cana-1240	374	1	a	a	DET
cana-1240	374	2	network	network	NOUN
cana-1240	374	3	's	's	PART
cana-1240	374	4	accuracy	accuracy	NOUN
cana-1240	374	5	quickly	quickly	ADV
cana-1240	374	6	degrades	degrade	VERB
cana-1240	374	7	after	after	SCONJ
cana-1240	374	8	it	it	PRON
cana-1240	374	9	becomes	becomes	AUX
cana-1240	374	10	saturated	saturate	VERB
cana-1240	374	11	as	as	ADP
cana-1240	374	12	its	its	PRON
cana-1240	374	13	depth	depth	NOUN
cana-1240	374	14	rises	rise	NOUN
cana-1240	374	15	.	.	PUNCT
cana-1240	375	1	deeper	deep	ADJ
cana-1240	375	2	networks	network	NOUN
cana-1240	375	3	exhibit	exhibit	VERB
cana-1240	375	4	the	the	DET
cana-1240	375	5	vanishing	vanish	VERB
cana-1240	375	6	gradient	gradient	NOUN
cana-1240	375	7	,	,	PUNCT
cana-1240	375	8	which	which	PRON
cana-1240	375	9	is	be	AUX
cana-1240	375	10	the	the	DET
cana-1240	375	11	source	source	NOUN
cana-1240	375	12	of	of	ADP
cana-1240	375	13	accuracy	accuracy	NOUN
cana-1240	375	14	degradation	degradation	NOUN
cana-1240	375	15	.	.	PUNCT
cana-1240	376	1	resnet	resnet	PROPN
cana-1240	376	2	fits	fit	VERB
cana-1240	376	3	a	a	DET
cana-1240	376	4	residual	residual	ADJ
cana-1240	376	5	mapping	mapping	NOUN
cana-1240	376	6	to	to	ADP
cana-1240	376	7	these	these	DET
cana-1240	376	8	layers	layer	NOUN
cana-1240	376	9	instead	instead	ADV
cana-1240	376	10	of	of	ADP
cana-1240	376	11	adding	add	VERB
cana-1240	376	12	each	each	DET
cana-1240	376	13	stacked	stack	VERB
cana-1240	376	14	layer	layer	NOUN
cana-1240	376	15	individually	individually	ADV
cana-1240	376	16	.	.	PUNCT
cana-1240	377	1	it	it	PRON
cana-1240	377	2	bypasses	bypass	VERB
cana-1240	377	3	one	one	NUM
cana-1240	377	4	or	or	CCONJ
cana-1240	377	5	more	more	ADJ
cana-1240	377	6	layers	layer	NOUN
cana-1240	377	7	by	by	ADP
cana-1240	377	8	using	use	VERB
cana-1240	377	9	a	a	DET
cana-1240	377	10	shortcut	shortcut	NOUN
cana-1240	377	11	connection	connection	NOUN
cana-1240	377	12	.	.	PUNCT
cana-1240	378	1	the	the	DET
cana-1240	378	2	outputs	output	NOUN
cana-1240	378	3	of	of	ADP
cana-1240	378	4	the	the	DET
cana-1240	378	5	stacked	stack	VERB
cana-1240	378	6	layers	layer	NOUN
cana-1240	378	7	are	be	AUX
cana-1240	378	8	multiplied	multiply	VERB
cana-1240	378	9	by	by	ADP
cana-1240	378	10	the	the	DET
cana-1240	378	11	outputs	output	NOUN
cana-1240	378	12	of	of	ADP
cana-1240	378	13	the	the	DET
cana-1240	378	14	shortcut	shortcut	NOUN
cana-1240	378	15	connections	connection	NOUN
cana-1240	378	16	,	,	PUNCT
cana-1240	378	17	and	and	CCONJ
cana-1240	378	18	they	they	PRON
cana-1240	378	19	carry	carry	VERB
cana-1240	378	20	out	out	ADP
cana-1240	378	21	identity	identity	NOUN
cana-1240	378	22	mapping	mapping	NOUN
cana-1240	378	23	.	.	PUNCT
cana-1240	379	1	to	to	PART
cana-1240	379	2	reach	reach	VERB
cana-1240	379	3	the	the	DET
cana-1240	379	4	final	final	ADJ
cana-1240	379	5	destination	destination	NOUN
cana-1240	379	6	,	,	PUNCT
cana-1240	379	7	the	the	DET
cana-1240	379	8	value	value	NOUN
cana-1240	379	9	will	will	AUX
cana-1240	379	10	be	be	AUX
cana-1240	379	11	added	add	VERB
cana-1240	379	12	to	to	ADP
cana-1240	379	13	the	the	DET
cana-1240	379	14	input	input	NOUN
cana-1240	379	15	through	through	ADP
cana-1240	379	16	residual	residual	ADJ
cana-1240	379	17	mapping	mapping	NOUN
cana-1240	379	18	.	.	PUNCT
cana-1240	380	1	deeper	deep	ADJ
cana-1240	380	2	resnet	resnet	NOUN
cana-1240	380	3	networks	network	NOUN
cana-1240	380	4	use	use	VERB
cana-1240	380	5	a	a	DET
cana-1240	380	6	bottleneck	bottleneck	NOUN
cana-1240	380	7	design	design	NOUN
cana-1240	380	8	.	.	PUNCT
cana-1240	381	1	resnet101	resnet101	PROPN
cana-1240	381	2	has	have	VERB
cana-1240	381	3	104	104	NUM
cana-1240	381	4	convolutional	convolutional	ADJ
cana-1240	381	5	layers	layer	NOUN
cana-1240	381	6	,	,	PUNCT
cana-1240	381	7	which	which	PRON
cana-1240	381	8	are	be	AUX
cana-1240	381	9	made	make	VERB
cana-1240	381	10	up	up	ADP
cana-1240	381	11	of	of	ADP
cana-1240	381	12	33	33	NUM
cana-1240	381	13	blocks	block	NOUN
cana-1240	381	14	of	of	ADP
cana-1240	381	15	layers	layer	NOUN
cana-1240	381	16	.	.	PUNCT
cana-1240	382	1	29	29	NUM
cana-1240	382	2	of	of	ADP
cana-1240	382	3	these	these	DET
cana-1240	382	4	squares	square	NOUN
cana-1240	382	5	are	be	AUX
cana-1240	382	6	used	use	VERB
cana-1240	382	7	directly	directly	ADV
cana-1240	382	8	in	in	ADP
cana-1240	382	9	earlier	early	ADJ
cana-1240	382	10	blocks	block	NOUN
cana-1240	382	11	.	.	PUNCT
cana-1240	383	1	a	a	DET
cana-1240	383	2	convolution	convolution	NOUN
cana-1240	383	3	layer	layer	NOUN
cana-1240	383	4	,	,	PUNCT
cana-1240	383	5	a	a	DET
cana-1240	383	6	max	max	NOUN
cana-1240	383	7	pooling	pool	VERB
cana-1240	383	8	layer	layer	NOUN
cana-1240	383	9	with	with	ADP
cana-1240	383	10	a	a	DET
cana-1240	383	11	stride	stride	NOUN
cana-1240	383	12	of	of	ADP
cana-1240	383	13	2	2	NUM
cana-1240	383	14	,	,	PUNCT
cana-1240	383	15	33	33	NUM
cana-1240	383	16	residual	residual	ADJ
cana-1240	383	17	building	building	NOUN
cana-1240	383	18	blocks	block	NOUN
cana-1240	383	19	,	,	PUNCT
cana-1240	383	20	and	and	CCONJ
cana-1240	383	21	a	a	DET
cana-1240	383	22	pooling	pooling	NOUN
cana-1240	383	23	layer	layer	NOUN
cana-1240	383	24	with	with	ADP
cana-1240	383	25	a	a	DET
cana-1240	383	26	stride	stride	NOUN
cana-1240	383	27	of	of	ADP
cana-1240	383	28	7	7	NUM
cana-1240	383	29	make	make	VERB
cana-1240	383	30	up	up	ADP
cana-1240	383	31	the	the	DET
cana-1240	383	32	residual	residual	ADJ
cana-1240	383	33	model	model	NOUN
cana-1240	383	34	.	.	PUNCT
cana-1240	384	1	for	for	ADP
cana-1240	384	2	every	every	DET
cana-1240	384	3	residual	residual	ADJ
cana-1240	384	4	function	function	NOUN
cana-1240	384	5	,	,	PUNCT
cana-1240	384	6	a	a	DET
cana-1240	384	7	stack	stack	NOUN
cana-1240	384	8	of	of	ADP
cana-1240	384	9	three	three	NUM
cana-1240	384	10	convolutional	convolutional	ADJ
cana-1240	384	11	layers1x1	layers1x1	NOUN
cana-1240	384	12	,	,	PUNCT
cana-1240	384	13	3x3	3x3	NUM
cana-1240	384	14	,	,	PUNCT
cana-1240	384	15	and	and	CCONJ
cana-1240	384	16	1x1	1x1	NUM
cana-1240	384	17	layersis	layersis	NOUN
cana-1240	384	18	created	create	VERB
cana-1240	384	19	.	.	PUNCT
cana-1240	385	1	the	the	DET
cana-1240	385	2	1x1	1x1	NUM
cana-1240	385	3	convolution	convolution	NOUN
cana-1240	385	4	layers	layer	NOUN
cana-1240	385	5	are	be	AUX
cana-1240	385	6	employed	employ	VERB
cana-1240	385	7	for	for	ADP
cana-1240	385	8	minimizing	minimize	VERB
cana-1240	385	9	and	and	CCONJ
cana-1240	385	10	then	then	ADV
cana-1240	385	11	recovering	recover	VERB
cana-1240	385	12	the	the	DET
cana-1240	385	13	dimensions	dimension	NOUN
cana-1240	385	14	.	.	PUNCT
cana-1240	386	1	the	the	DET
cana-1240	386	2	3x3	3x3	NUM
cana-1240	386	3	layer	layer	NOUN
cana-1240	386	4	,	,	PUNCT
cana-1240	386	5	on	on	ADP
cana-1240	386	6	the	the	DET
cana-1240	386	7	other	other	ADJ
cana-1240	386	8	hand	hand	NOUN
cana-1240	386	9	,	,	PUNCT
cana-1240	386	10	has	have	VERB
cana-1240	386	11	smaller	small	ADJ
cana-1240	386	12	input	input	NOUN
cana-1240	386	13	and	and	CCONJ
cana-1240	386	14	output	output	NOUN
cana-1240	386	15	dimensions	dimension	NOUN
cana-1240	386	16	and	and	CCONJ
cana-1240	386	17	acts	act	NOUN
cana-1240	386	18	as	as	SCONJ
cana-1240	386	19	a	a	DET
cana-1240	386	20	bottleneck.resnet	bottleneck.resnet	NOUN
cana-1240	386	21	modifies	modify	VERB
cana-1240	386	22	the	the	DET
cana-1240	386	23	input	input	NOUN
cana-1240	386	24	layer	layer	NOUN
cana-1240	386	25	using	use	VERB
cana-1240	386	26	batch	batch	NOUN
cana-1240	386	27	normalisation	normalisation	NOUN
cana-1240	386	28	to	to	PART
cana-1240	386	29	improve	improve	VERB
cana-1240	386	30	network	network	NOUN
cana-1240	386	31	performance	performance	NOUN
cana-1240	386	32	.	.	PUNCT
cana-1240	387	1	the	the	DET
cana-1240	387	2	squeeze	squeeze	ADJ
cana-1240	387	3	net	net	ADJ
cana-1240	387	4	network	network	NOUN
cana-1240	387	5	is	be	AUX
cana-1240	387	6	made	make	VERB
cana-1240	387	7	up	up	ADP
cana-1240	387	8	of	of	ADP
cana-1240	387	9	fire	fire	NOUN
cana-1240	387	10	modules	module	NOUN
cana-1240	387	11	,	,	PUNCT
cana-1240	387	12	which	which	PRON
cana-1240	387	13	are	be	AUX
cana-1240	387	14	building	build	VERB
cana-1240	387	15	pieces	piece	NOUN
cana-1240	387	16	.	.	PUNCT
cana-1240	388	1	there	there	PRON
cana-1240	388	2	are	be	VERB
cana-1240	388	3	two	two	NUM
cana-1240	388	4	layers	layer	NOUN
cana-1240	388	5	in	in	ADP
cana-1240	388	6	every	every	DET
cana-1240	388	7	fire	fire	NOUN
cana-1240	388	8	module	module	NOUN
cana-1240	388	9	:	:	PUNCT
cana-1240	388	10	an	an	DET
cana-1240	388	11	expand	expand	NOUN
cana-1240	388	12	layer	layer	NOUN
cana-1240	388	13	and	and	CCONJ
cana-1240	388	14	a	a	DET
cana-1240	388	15	squeeze	squeeze	NOUN
cana-1240	388	16	layer	layer	NOUN
cana-1240	388	17	.	.	PUNCT
cana-1240	389	1	the	the	DET
cana-1240	389	2	expand	expand	NOUN
cana-1240	389	3	layer	layer	NOUN
cana-1240	389	4	combines	combine	VERB
cana-1240	389	5	1x1	1x1	NUM
cana-1240	389	6	and	and	CCONJ
cana-1240	389	7	3x3	3x3	NUM
cana-1240	389	8	maps	map	NOUN
cana-1240	389	9	,	,	PUNCT
cana-1240	389	10	and	and	CCONJ
cana-1240	389	11	the	the	DET
cana-1240	389	12	squeeze	squeeze	NOUN
cana-1240	389	13	layer	layer	NOUN
cana-1240	389	14	is	be	AUX
cana-1240	389	15	just	just	ADV
cana-1240	389	16	a	a	DET
cana-1240	389	17	layer	layer	NOUN
cana-1240	389	18	of	of	ADP
cana-1240	389	19	1x1	1x1	NUM
cana-1240	389	20	convolution	convolution	NOUN
cana-1240	389	21	maps	map	NOUN
cana-1240	389	22	.	.	PUNCT
cana-1240	390	1	squeeze	squeeze	NOUN
cana-1240	390	2	layer	layer	NOUN
cana-1240	390	3	feature	feature	NOUN
cana-1240	390	4	map	map	NOUN
cana-1240	390	5	counts	count	NOUN
cana-1240	390	6	are	be	AUX
cana-1240	390	7	set	set	VERB
cana-1240	390	8	to	to	PART
cana-1240	390	9	be	be	AUX
cana-1240	390	10	less	less	ADJ
cana-1240	390	11	than	than	ADP
cana-1240	390	12	or	or	CCONJ
cana-1240	390	13	equal	equal	ADJ
cana-1240	390	14	to	to	ADP
cana-1240	390	15	those	those	PRON
cana-1240	390	16	of	of	ADP
cana-1240	390	17	the	the	DET
cana-1240	390	18	expand	expand	NOUN
cana-1240	390	19	layer	layer	NOUN
cana-1240	390	20	feature	feature	NOUN
cana-1240	390	21	maps	map	NOUN
cana-1240	390	22	,	,	PUNCT
cana-1240	390	23	which	which	PRON
cana-1240	390	24	results	result	VERB
cana-1240	390	25	in	in	ADP
cana-1240	390	26	a	a	DET
cana-1240	390	27	compression	compression	NOUN
cana-1240	390	28	of	of	ADP
cana-1240	390	29	the	the	DET
cana-1240	390	30	extracted	extract	VERB
cana-1240	390	31	feature	feature	NOUN
cana-1240	390	32	maps	map	NOUN
cana-1240	390	33	and	and	CCONJ
cana-1240	390	34	a	a	DET
cana-1240	390	35	decrease	decrease	NOUN
cana-1240	390	36	in	in	ADP
cana-1240	390	37	the	the	DET
cana-1240	390	38	number	number	NOUN
cana-1240	390	39	of	of	ADP
cana-1240	390	40	network	network	NOUN
cana-1240	390	41	weights	weight	NOUN
cana-1240	390	42	.	.	PUNCT
cana-1240	391	1	the	the	DET
cana-1240	391	2	microarchitecture	microarchitecture	NOUN
cana-1240	391	3	of	of	ADP
cana-1240	391	4	the	the	DET
cana-1240	391	5	squeeze	squeeze	NOUN
cana-1240	391	6	net	net	ADJ
cana-1240	391	7	model	model	NOUN
cana-1240	391	8	is	be	AUX
cana-1240	391	9	then	then	ADV
cana-1240	391	10	constructed	construct	VERB
cana-1240	391	11	by	by	ADP
cana-1240	391	12	stacking	stack	VERB
cana-1240	391	13	these	these	DET
cana-1240	391	14	fire	fire	NOUN
cana-1240	391	15	modules	module	NOUN
cana-1240	391	16	together	together	ADV
cana-1240	391	17	.	.	PUNCT
cana-1240	392	1	the	the	DET
cana-1240	392	2	number	number	NOUN
cana-1240	392	3	of	of	ADP
cana-1240	392	4	squeeze	squeeze	NOUN
cana-1240	392	5	layer	layer	NOUN
cana-1240	392	6	feature	feature	NOUN
cana-1240	392	7	maps	map	NOUN
cana-1240	392	8	divided	divide	VERB
cana-1240	392	9	by	by	ADP
cana-1240	392	10	the	the	DET
cana-1240	392	11	number	number	NOUN
cana-1240	392	12	of	of	ADP
cana-1240	392	13	expand	expand	VERB
cana-1240	392	14	layer	layer	NOUN
cana-1240	392	15	feature	feature	NOUN
cana-1240	392	16	maps	map	NOUN
cana-1240	392	17	is	be	AUX
cana-1240	392	18	known	know	VERB
cana-1240	392	19	as	as	ADP
cana-1240	392	20	the	the	DET
cana-1240	392	21	squeeze	squeeze	NOUN
cana-1240	392	22	ratio	ratio	NOUN
cana-1240	392	23	,	,	PUNCT
cana-1240	392	24	and	and	CCONJ
cana-1240	392	25	it	it	PRON
cana-1240	392	26	is	be	AUX
cana-1240	392	27	a	a	DET
cana-1240	392	28	crucial	crucial	ADJ
cana-1240	392	29	hyperparameter	hyperparameter	NOUN
cana-1240	392	30	of	of	ADP
cana-1240	392	31	the	the	DET
cana-1240	392	32	fire	fire	NOUN
cana-1240	392	33	module.the	module.the	DET
cana-1240	392	34	most	most	ADV
cana-1240	392	35	important	important	ADJ
cana-1240	392	36	part	part	NOUN
cana-1240	392	37	of	of	ADP
cana-1240	392	38	mobilenetv2	mobilenetv2	PROPN
cana-1240	392	39	is	be	AUX
cana-1240	392	40	its	its	PRON
cana-1240	392	41	depth	depth	NOUN
cana-1240	392	42	-	-	PUNCT
cana-1240	392	43	wise	wise	ADJ
cana-1240	392	44	separable	separable	ADJ
cana-1240	392	45	convolution	convolution	NOUN
cana-1240	392	46	(	(	PUNCT
cana-1240	392	47	dwsc	dwsc	NOUN
cana-1240	392	48	)	)	PUNCT
cana-1240	392	49	layer	layer	NOUN
cana-1240	392	50	,	,	PUNCT
cana-1240	392	51	which	which	PRON
cana-1240	392	52	gives	give	VERB
cana-1240	392	53	it	it	PRON
cana-1240	392	54	its	its	PRON
cana-1240	392	55	extraordinary	extraordinary	ADJ
cana-1240	392	56	speed.pointwise	speed.pointwise	PROPN
cana-1240	392	57	convolution	convolution	NOUN
cana-1240	392	58	(	(	PUNCT
cana-1240	392	59	pwc	pwc	PROPN
cana-1240	392	60	)	)	PUNCT
cana-1240	392	61	and	and	CCONJ
cana-1240	392	62	depthwise	depthwise	NOUN
cana-1240	392	63	convolution	convolution	NOUN
cana-1240	392	64	(	(	PUNCT
cana-1240	392	65	dwc	dwc	PROPN
cana-1240	392	66	)	)	PUNCT
cana-1240	392	67	are	be	AUX
cana-1240	392	68	the	the	DET
cana-1240	392	69	two	two	NUM
cana-1240	392	70	stages	stage	NOUN
cana-1240	392	71	in	in	ADP
cana-1240	392	72	depthwise	depthwise	NOUN
cana-1240	392	73	separable	separable	ADJ
cana-1240	392	74	convolution	convolution	NOUN
cana-1240	392	75	(	(	PUNCT
cana-1240	392	76	dwsc	dwsc	PROPN
cana-1240	392	77	)	)	PUNCT
cana-1240	392	78	.	.	PUNCT
cana-1240	393	1	dwc	dwc	PROPN
cana-1240	393	2	operations	operation	NOUN
cana-1240	393	3	,	,	PUNCT
cana-1240	393	4	as	as	SCONJ
cana-1240	393	5	opposed	oppose	VERB
cana-1240	393	6	to	to	ADP
cana-1240	393	7	standard	standard	ADJ
cana-1240	393	8	convolution	convolution	NOUN
cana-1240	393	9	,	,	PUNCT
cana-1240	393	10	which	which	PRON
cana-1240	393	11	operates	operate	VERB
cana-1240	393	12	on	on	ADP
cana-1240	393	13	all	all	DET
cana-1240	393	14	m	m	NOUN
cana-1240	393	15	channels	channel	NOUN
cana-1240	393	16	concurrently	concurrently	ADV
cana-1240	393	17	,	,	PUNCT
cana-1240	393	18	only	only	ADV
cana-1240	393	19	apply	apply	VERB
cana-1240	393	20	convolution	convolution	NOUN
cana-1240	393	21	to	to	ADP
cana-1240	393	22	one	one	NUM
cana-1240	393	23	channel	channel	NOUN
cana-1240	393	24	at	at	ADP
cana-1240	393	25	a	a	DET
cana-1240	393	26	time	time	NOUN
cana-1240	393	27	.	.	PUNCT
cana-1240	394	1	1	1	NUM
cana-1240	394	2	×	×	NOUN
cana-1240	394	3	1	1	NUM
cana-1240	394	4	convolution	convolution	NOUN
cana-1240	394	5	is	be	AUX
cana-1240	394	6	applied	apply	VERB
cana-1240	394	7	to	to	ADP
cana-1240	394	8	the	the	DET
cana-1240	394	9	m	m	NOUN
cana-1240	394	10	channels	channel	NOUN
cana-1240	394	11	in	in	ADP
cana-1240	394	12	the	the	DET
cana-1240	394	13	pointwise	pointwise	PROPN
cana-1240	394	14	operation	operation	NOUN
cana-1240	394	15	.	.	PUNCT
cana-1240	395	1	in	in	ADP
cana-1240	395	2	this	this	DET
cana-1240	395	3	process	process	NOUN
cana-1240	395	4	,	,	PUNCT
cana-1240	395	5	a	a	DET
cana-1240	395	6	1	1	NUM
cana-1240	395	7	×	×	NOUN
cana-1240	395	8	1	1	NUM
cana-1240	395	9	×	×	NOUN
cana-1240	395	10	𝑀	𝑀	PROPN
cana-1240	395	11	filter	filter	NOUN
cana-1240	395	12	will	will	AUX
cana-1240	395	13	be	be	AUX
cana-1240	395	14	used	use	VERB
cana-1240	395	15	.	.	PUNCT
cana-1240	396	1	communications	communication	NOUN
cana-1240	396	2	on	on	ADP
cana-1240	396	3	applied	apply	VERB
cana-1240	396	4	nonlinear	nonlinear	ADJ
cana-1240	396	5	analysis	analysis	NOUN
cana-1240	396	6	issn	issn	NOUN
cana-1240	396	7	:	:	PUNCT
cana-1240	396	8	1074	1074	NUM
cana-1240	396	9	-	-	PUNCT
cana-1240	396	10	133x	133x	NUM
cana-1240	396	11	vol	vol	NOUN
cana-1240	396	12	31	31	NUM
cana-1240	396	13	no	no	NOUN
cana-1240	396	14	.	.	PUNCT
cana-1240	397	1	6s	6s	NUM
cana-1240	397	2	(	(	PUNCT
cana-1240	397	3	2024	2024	NUM
cana-1240	397	4	)	)	PUNCT
cana-1240	397	5	518	518	NUM
cana-1240	397	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1240	397	7	4	4	NUM
cana-1240	397	8	.	.	NOUN
cana-1240	397	9	result	result	NOUN
cana-1240	397	10	and	and	CCONJ
cana-1240	397	11	discussion	discussion	NOUN
cana-1240	397	12	in	in	ADP
cana-1240	397	13	this	this	DET
cana-1240	397	14	section	section	NOUN
cana-1240	397	15	,	,	PUNCT
cana-1240	397	16	the	the	DET
cana-1240	397	17	lung	lung	NOUN
cana-1240	397	18	cancer	cancer	NOUN
cana-1240	397	19	detection	detection	NOUN
cana-1240	397	20	using	use	VERB
cana-1240	397	21	the	the	DET
cana-1240	397	22	proposed	propose	VERB
cana-1240	397	23	model	model	NOUN
cana-1240	397	24	is	be	AUX
cana-1240	397	25	evaluated	evaluate	VERB
cana-1240	397	26	using	use	VERB
cana-1240	397	27	the	the	DET
cana-1240	397	28	performance	performance	NOUN
cana-1240	397	29	metrics	metric	NOUN
cana-1240	397	30	like	like	ADP
cana-1240	397	31	accuracy	accuracy	NOUN
cana-1240	397	32	,	,	PUNCT
cana-1240	397	33	sensitivity	sensitivity	NOUN
cana-1240	397	34	,	,	PUNCT
cana-1240	397	35	specificity	specificity	NOUN
cana-1240	397	36	,	,	PUNCT
cana-1240	397	37	precision	precision	NOUN
cana-1240	397	38	,	,	PUNCT
cana-1240	397	39	recall	recall	NOUN
cana-1240	397	40	,	,	PUNCT
cana-1240	397	41	f	f	X
cana-1240	397	42	-	-	PUNCT
cana-1240	397	43	measure	measure	NOUN
cana-1240	397	44	,	,	PUNCT
cana-1240	397	45	npv	npv	NOUN
cana-1240	397	46	(	(	PUNCT
cana-1240	397	47	negative	negative	ADJ
cana-1240	397	48	predictive	predictive	ADJ
cana-1240	397	49	value	value	NOUN
cana-1240	397	50	)	)	PUNCT
cana-1240	397	51	,	,	PUNCT
cana-1240	397	52	fpr	fpr	X
cana-1240	397	53	(	(	PUNCT
cana-1240	397	54	false	false	ADJ
cana-1240	397	55	positive	positive	ADJ
cana-1240	397	56	ratio	ratio	NOUN
cana-1240	397	57	)	)	PUNCT
cana-1240	397	58	,	,	PUNCT
cana-1240	397	59	fnr	fnr	PROPN
cana-1240	397	60	(	(	PUNCT
cana-1240	397	61	false	false	ADJ
cana-1240	397	62	negative	negative	ADJ
cana-1240	397	63	ratio	ratio	NOUN
cana-1240	397	64	)	)	PUNCT
cana-1240	397	65	and	and	CCONJ
cana-1240	397	66	mcc	mcc	PROPN
cana-1240	397	67	(	(	PUNCT
cana-1240	397	68	matthews	matthews	PROPN
cana-1240	397	69	correlation	correlation	NOUN
cana-1240	397	70	coefficient	coefficient	NOUN
cana-1240	397	71	)	)	PUNCT
cana-1240	397	72	.	.	PUNCT
cana-1240	398	1	the	the	DET
cana-1240	398	2	lung	lung	NOUN
cana-1240	398	3	cancer	cancer	NOUN
cana-1240	398	4	prediction	prediction	NOUN
cana-1240	398	5	dataset	dataset	VERB
cana-1240	398	6	[	[	X
cana-1240	398	7	26	26	NUM
cana-1240	398	8	]	]	PUNCT
cana-1240	398	9	is	be	AUX
cana-1240	398	10	used	use	VERB
cana-1240	398	11	for	for	ADP
cana-1240	398	12	evaluation	evaluation	NOUN
cana-1240	398	13	.	.	PUNCT
cana-1240	399	1	in	in	ADP
cana-1240	399	2	this	this	DET
cana-1240	399	3	dataset	dataset	NOUN
cana-1240	399	4	,	,	PUNCT
cana-1240	399	5	the	the	DET
cana-1240	399	6	total	total	ADJ
cana-1240	399	7	data	datum	NOUN
cana-1240	399	8	is	be	AUX
cana-1240	399	9	divided	divide	VERB
cana-1240	399	10	into	into	ADP
cana-1240	399	11	training	training	NOUN
cana-1240	399	12	(	(	PUNCT
cana-1240	399	13	70	70	NUM
cana-1240	399	14	%	%	NOUN
cana-1240	399	15	)	)	PUNCT
cana-1240	399	16	,	,	PUNCT
cana-1240	399	17	testing	testing	NOUN
cana-1240	399	18	(	(	PUNCT
cana-1240	399	19	20	20	NUM
cana-1240	399	20	%	%	NOUN
cana-1240	399	21	)	)	PUNCT
cana-1240	399	22	and	and	CCONJ
cana-1240	399	23	validation	validation	NOUN
cana-1240	399	24	(	(	PUNCT
cana-1240	399	25	10	10	NUM
cana-1240	399	26	%	%	NOUN
cana-1240	399	27	)	)	PUNCT
cana-1240	399	28	.	.	PUNCT
cana-1240	400	1	the	the	DET
cana-1240	400	2	implementation	implementation	NOUN
cana-1240	400	3	is	be	AUX
cana-1240	400	4	performed	perform	VERB
cana-1240	400	5	in	in	ADP
cana-1240	400	6	the	the	DET
cana-1240	400	7	matlab	matlab	PROPN
cana-1240	400	8	platform.table	platform.table	PROPN
cana-1240	400	9	1	1	NUM
cana-1240	400	10	presents	present	VERB
cana-1240	400	11	a	a	DET
cana-1240	400	12	comprehensive	comprehensive	ADJ
cana-1240	400	13	comparison	comparison	NOUN
cana-1240	400	14	of	of	ADP
cana-1240	400	15	performance	performance	NOUN
cana-1240	400	16	metrics	metric	NOUN
cana-1240	400	17	between	between	ADP
cana-1240	400	18	the	the	DET
cana-1240	400	19	proposed	propose	VERB
cana-1240	400	20	lung	lung	NOUN
cana-1240	400	21	cancer	cancer	NOUN
cana-1240	400	22	detection	detection	NOUN
cana-1240	400	23	method	method	NOUN
cana-1240	400	24	and	and	CCONJ
cana-1240	400	25	existing	exist	VERB
cana-1240	400	26	methods	method	NOUN
cana-1240	400	27	such	such	ADJ
cana-1240	400	28	as	as	ADP
cana-1240	400	29	mobilenetv2	mobilenetv2	PROPN
cana-1240	400	30	,	,	PUNCT
cana-1240	400	31	resnet101	resnet101	PROPN
cana-1240	400	32	,	,	PUNCT
cana-1240	400	33	squeezenet	squeezenet	NOUN
cana-1240	400	34	,	,	PUNCT
cana-1240	400	35	alexnet	alexnet	ADJ
cana-1240	400	36	,	,	PUNCT
cana-1240	400	37	and	and	CCONJ
cana-1240	400	38	darknet	darknet	PROPN
cana-1240	400	39	.	.	PROPN
cana-1240	400	40	table	table	PROPN
cana-1240	401	1	1	1	NUM
cana-1240	401	2	.	.	PUNCT
cana-1240	401	3	comparison	comparison	NOUN
cana-1240	401	4	of	of	ADP
cana-1240	401	5	performance	performance	NOUN
cana-1240	401	6	metrics	metric	NOUN
cana-1240	401	7	with	with	ADP
cana-1240	401	8	the	the	DET
cana-1240	401	9	proposed	propose	VERB
cana-1240	401	10	and	and	CCONJ
cana-1240	401	11	existing	exist	VERB
cana-1240	401	12	method	method	NOUN
cana-1240	401	13	metric	metric	ADJ
cana-1240	401	14	proposed	propose	VERB
cana-1240	401	15	mobile	mobile	ADJ
cana-1240	401	16	netv2	netv2	PROPN
cana-1240	401	17	resnet101	resnet101	PROPN
cana-1240	401	18	squeezenet	squeezenet	NOUN
cana-1240	401	19	alexnet	alexnet	ADJ
cana-1240	401	20	darknet	darknet	NOUN
cana-1240	401	21	sensitivity	sensitivity	NOUN
cana-1240	401	22	0.973	0.973	NUM
cana-1240	401	23	0.96	0.96	NUM
cana-1240	401	24	0.937	0.937	NUM
cana-1240	401	25	0.835	0.835	NUM
cana-1240	401	26	0.781	0.781	NUM
cana-1240	401	27	0.772	0.772	NUM
cana-1240	401	28	specificity	specificity	NOUN
cana-1240	401	29	0.999	0.999	NUM
cana-1240	401	30	0.994	0.994	NUM
cana-1240	401	31	0.989	0.989	NUM
cana-1240	401	32	0.94	0.94	NUM
cana-1240	401	33	0.93	0.93	NUM
cana-1240	401	34	0.935	0.935	NUM
cana-1240	401	35	accuracy	accuracy	NOUN
cana-1240	401	36	0.988	0.988	NUM
cana-1240	401	37	0.987	0.987	NUM
cana-1240	401	38	0.962	0.962	NUM
cana-1240	401	39	0.923	0.923	NUM
cana-1240	401	40	0.911	0.911	NUM
cana-1240	401	41	0.903	0.903	NUM
cana-1240	401	42	precision	precision	NOUN
cana-1240	401	43	0.971	0.971	NUM
cana-1240	401	44	0.964	0.964	NUM
cana-1240	401	45	0.949	0.949	NUM
cana-1240	401	46	0.842	0.842	NUM
cana-1240	401	47	0.788	0.788	NUM
cana-1240	401	48	0.77	0.77	NUM
cana-1240	401	49	recall	recall	NOUN
cana-1240	401	50	0.986	0.986	NUM
cana-1240	401	51	0.951	0.951	NUM
cana-1240	401	52	0.927	0.927	NUM
cana-1240	401	53	0.828	0.828	NUM
cana-1240	401	54	0.798	0.798	NUM
cana-1240	401	55	0.775	0.775	NUM
cana-1240	401	56	fmeasure	fmeasure	NOUN
cana-1240	401	57	0.971	0.971	NUM
cana-1240	401	58	0.966	0.966	NUM
cana-1240	401	59	0.948	0.948	NUM
cana-1240	401	60	0.832	0.832	NUM
cana-1240	401	61	0.807	0.807	NUM
cana-1240	401	62	0.775	0.775	NUM
cana-1240	401	63	npv	npv	NOUN
cana-1240	401	64	0.995	0.995	NUM
cana-1240	401	65	0.995	0.995	NUM
cana-1240	401	66	0.99	0.99	NUM
cana-1240	401	67	0.97	0.97	NUM
cana-1240	401	68	0.95	0.95	NUM
cana-1240	401	69	0.939	0.939	NUM
cana-1240	401	70	fpr	fpr	NOUN
cana-1240	401	71	0.024	0.024	NUM
cana-1240	401	72	0.032	0.032	NUM
cana-1240	401	73	0.03	0.03	NUM
cana-1240	401	74	0.075	0.075	NUM
cana-1240	401	75	0.089	0.089	NUM
cana-1240	401	76	0.105	0.105	NUM
cana-1240	401	77	fnr	fnr	PROPN
cana-1240	401	78	0.067	0.067	NUM
cana-1240	401	79	0.07	0.07	NUM
cana-1240	401	80	0.087	0.087	NUM
cana-1240	401	81	0.198	0.198	NUM
cana-1240	401	82	0.252	0.252	NUM
cana-1240	401	83	0.27	0.27	NUM
cana-1240	401	84	mcc	mcc	NOUN
cana-1240	401	85	0.954	0.954	NUM
cana-1240	401	86	0.925	0.925	NUM
cana-1240	401	87	0.901	0.901	NUM
cana-1240	401	88	0.779	0.779	NUM
cana-1240	401	89	0.717	0.717	NUM
cana-1240	401	90	0.695	0.695	NUM
cana-1240	401	91	the	the	DET
cana-1240	401	92	proposed	propose	VERB
cana-1240	401	93	method	method	NOUN
cana-1240	401	94	performs	perform	VERB
cana-1240	401	95	better	well	ADV
cana-1240	401	96	on	on	ADP
cana-1240	401	97	a	a	DET
cana-1240	401	98	variety	variety	NOUN
cana-1240	401	99	of	of	ADP
cana-1240	401	100	metrics	metric	NOUN
cana-1240	401	101	compared	compare	VERB
cana-1240	401	102	to	to	ADP
cana-1240	401	103	the	the	DET
cana-1240	401	104	other	other	ADJ
cana-1240	401	105	models	model	NOUN
cana-1240	401	106	.	.	PUNCT
cana-1240	402	1	the	the	DET
cana-1240	402	2	high	high	ADJ
cana-1240	402	3	sensitivity	sensitivity	NOUN
cana-1240	402	4	of	of	ADP
cana-1240	402	5	0.973	0.973	NUM
cana-1240	402	6	indicates	indicate	VERB
cana-1240	402	7	its	its	PRON
cana-1240	402	8	effectiveness	effectiveness	NOUN
cana-1240	402	9	in	in	ADP
cana-1240	402	10	identifying	identify	VERB
cana-1240	402	11	genuine	genuine	ADJ
cana-1240	402	12	positive	positive	ADJ
cana-1240	402	13	cases	case	NOUN
cana-1240	402	14	of	of	ADP
cana-1240	402	15	lung	lung	NOUN
cana-1240	402	16	cancer	cancer	NOUN
cana-1240	402	17	.	.	PUNCT
cana-1240	403	1	the	the	DET
cana-1240	403	2	robust	robust	ADJ
cana-1240	403	3	ability	ability	NOUN
cana-1240	403	4	to	to	PART
cana-1240	403	5	correctly	correctly	ADV
cana-1240	403	6	identify	identify	VERB
cana-1240	403	7	true	true	ADJ
cana-1240	403	8	negative	negative	ADJ
cana-1240	403	9	cases	case	NOUN
cana-1240	403	10	is	be	AUX
cana-1240	403	11	indicated	indicate	VERB
cana-1240	403	12	by	by	ADP
cana-1240	403	13	the	the	DET
cana-1240	403	14	exceptionally	exceptionally	ADV
cana-1240	403	15	high	high	ADJ
cana-1240	403	16	specificity	specificity	NOUN
cana-1240	403	17	of	of	ADP
cana-1240	403	18	0.999	0.999	NUM
cana-1240	403	19	.	.	PUNCT
cana-1240	404	1	the	the	DET
cana-1240	404	2	proposed	propose	VERB
cana-1240	404	3	method	method	NOUN
cana-1240	404	4	is	be	AUX
cana-1240	404	5	considered	consider	VERB
cana-1240	404	6	reliable	reliable	ADJ
cana-1240	404	7	in	in	ADP
cana-1240	404	8	correctly	correctly	ADV
cana-1240	404	9	predicting	predict	VERB
cana-1240	404	10	both	both	CCONJ
cana-1240	404	11	positive	positive	ADJ
cana-1240	404	12	and	and	CCONJ
cana-1240	404	13	negative	negative	ADJ
cana-1240	404	14	instances	instance	NOUN
cana-1240	404	15	,	,	PUNCT
cana-1240	404	16	as	as	SCONJ
cana-1240	404	17	indicated	indicate	VERB
cana-1240	404	18	by	by	ADP
cana-1240	404	19	the	the	DET
cana-1240	404	20	overall	overall	ADJ
cana-1240	404	21	high	high	ADJ
cana-1240	404	22	accuracy	accuracy	NOUN
cana-1240	404	23	of	of	ADP
cana-1240	404	24	0.988.the	0.988.the	DET
cana-1240	404	25	proposed	propose	VERB
cana-1240	404	26	approach	approach	NOUN
cana-1240	404	27	also	also	ADV
cana-1240	404	28	performs	perform	VERB
cana-1240	404	29	well	well	ADV
cana-1240	404	30	in	in	ADP
cana-1240	404	31	terms	term	NOUN
cana-1240	404	32	of	of	ADP
cana-1240	404	33	recall	recall	NOUN
cana-1240	404	34	of	of	ADP
cana-1240	404	35	0.986	0.986	NUM
cana-1240	404	36	,	,	PUNCT
cana-1240	404	37	fmeasure	fmeasure	NOUN
cana-1240	404	38	of	of	ADP
cana-1240	404	39	0.971	0.971	NUM
cana-1240	404	40	,	,	PUNCT
cana-1240	404	41	and	and	CCONJ
cana-1240	404	42	npv	npv	NOUN
cana-1240	404	43	of	of	ADP
cana-1240	404	44	0.995	0.995	NUM
cana-1240	404	45	,	,	PUNCT
cana-1240	404	46	all	all	PRON
cana-1240	404	47	of	of	ADP
cana-1240	404	48	which	which	PRON
cana-1240	404	49	together	together	ADV
cana-1240	404	50	show	show	VERB
cana-1240	404	51	that	that	SCONJ
cana-1240	404	52	it	it	PRON
cana-1240	404	53	balances	balance	VERB
cana-1240	404	54	capturing	capture	VERB
cana-1240	404	55	positive	positive	ADJ
cana-1240	404	56	instances	instance	NOUN
cana-1240	404	57	with	with	ADP
cana-1240	404	58	preventing	prevent	VERB
cana-1240	404	59	false	false	ADJ
cana-1240	404	60	positives	positive	NOUN
cana-1240	404	61	.	.	PUNCT
cana-1240	405	1	the	the	DET
cana-1240	405	2	model	model	NOUN
cana-1240	405	3	can	can	AUX
cana-1240	405	4	reduce	reduce	VERB
cana-1240	405	5	errors	error	NOUN
cana-1240	405	6	,	,	PUNCT
cana-1240	405	7	as	as	SCONJ
cana-1240	405	8	demonstrated	demonstrate	VERB
cana-1240	405	9	by	by	ADP
cana-1240	405	10	the	the	DET
cana-1240	405	11	low	low	ADJ
cana-1240	405	12	fnr	fnr	PROPN
cana-1240	405	13	of	of	ADP
cana-1240	405	14	0.067	0.067	NUM
cana-1240	405	15	and	and	CCONJ
cana-1240	405	16	fpr	fpr	NOUN
cana-1240	405	17	of	of	ADP
cana-1240	405	18	0.024.the	0.024.the	DET
cana-1240	405	19	proposed	propose	VERB
cana-1240	405	20	model	model	NOUN
cana-1240	405	21	exhibits	exhibit	VERB
cana-1240	405	22	strong	strong	ADJ
cana-1240	405	23	overall	overall	ADJ
cana-1240	405	24	performance	performance	NOUN
cana-1240	405	25	,	,	PUNCT
cana-1240	405	26	as	as	SCONJ
cana-1240	405	27	indicated	indicate	VERB
cana-1240	405	28	by	by	ADP
cana-1240	405	29	the	the	DET
cana-1240	405	30	mcc	mcc	NOUN
cana-1240	405	31	of	of	ADP
cana-1240	405	32	0.954	0.954	NUM
cana-1240	405	33	,	,	PUNCT
cana-1240	405	34	which	which	PRON
cana-1240	405	35	provides	provide	VERB
cana-1240	405	36	a	a	DET
cana-1240	405	37	comprehensive	comprehensive	ADJ
cana-1240	405	38	evaluation	evaluation	NOUN
cana-1240	405	39	.	.	PUNCT
cana-1240	406	1	comparatively	comparatively	ADV
cana-1240	406	2	,	,	PUNCT
cana-1240	406	3	the	the	DET
cana-1240	406	4	proposed	propose	VERB
cana-1240	406	5	approach	approach	NOUN
cana-1240	406	6	consistently	consistently	ADV
cana-1240	406	7	outperforms	outperform	VERB
cana-1240	406	8	existing	exist	VERB
cana-1240	406	9	methods	method	NOUN
cana-1240	406	10	,	,	PUNCT
cana-1240	406	11	despite	despite	SCONJ
cana-1240	406	12	their	their	PRON
cana-1240	406	13	generally	generally	ADV
cana-1240	406	14	acceptable	acceptable	ADJ
cana-1240	406	15	results	result	NOUN
cana-1240	406	16	.	.	PUNCT
cana-1240	407	1	4.1	4.1	NUM
cana-1240	407	2	.	.	PUNCT
cana-1240	407	3	performance	performance	NOUN
cana-1240	407	4	analysis	analysis	NOUN
cana-1240	407	5	figure	figure	NOUN
cana-1240	407	6	4	4	NUM
cana-1240	407	7	to	to	PART
cana-1240	407	8	8	8	NUM
cana-1240	407	9	shows	show	VERB
cana-1240	407	10	the	the	DET
cana-1240	407	11	graphical	graphical	ADJ
cana-1240	407	12	analysis	analysis	NOUN
cana-1240	407	13	of	of	ADP
cana-1240	407	14	the	the	DET
cana-1240	407	15	various	various	ADJ
cana-1240	407	16	performance	performance	NOUN
cana-1240	407	17	metrics	metric	NOUN
cana-1240	407	18	with	with	ADP
cana-1240	407	19	the	the	DET
cana-1240	407	20	existing	exist	VERB
cana-1240	407	21	methods	method	NOUN
cana-1240	407	22	like	like	ADP
cana-1240	407	23	mobilenetv2	mobilenetv2	PROPN
cana-1240	407	24	,	,	PUNCT
cana-1240	407	25	resnet101	resnet101	PROPN
cana-1240	407	26	,	,	PUNCT
cana-1240	407	27	squeezenet	squeezenet	NOUN
cana-1240	407	28	,	,	PUNCT
cana-1240	407	29	alexnet	alexnet	ADJ
cana-1240	407	30	,	,	PUNCT
cana-1240	407	31	and	and	CCONJ
cana-1240	408	1	darknet	darknet	PROPN
cana-1240	408	2	.	.	PROPN
cana-1240	408	3	figure	figure	NOUN
cana-1240	408	4	4	4	NUM
cana-1240	408	5	illustrates	illustrate	VERB
cana-1240	408	6	the	the	DET
cana-1240	408	7	performance	performance	NOUN
cana-1240	408	8	analysis	analysis	NOUN
cana-1240	408	9	of	of	ADP
cana-1240	408	10	sensitivity	sensitivity	NOUN
cana-1240	408	11	and	and	CCONJ
cana-1240	408	12	specificity	specificity	NOUN
cana-1240	408	13	with	with	ADP
cana-1240	408	14	the	the	DET
cana-1240	408	15	proposed	propose	VERB
cana-1240	408	16	and	and	CCONJ
cana-1240	408	17	the	the	DET
cana-1240	408	18	existing	exist	VERB
cana-1240	408	19	methods	method	NOUN
cana-1240	408	20	.	.	PUNCT
cana-1240	409	1	communications	communication	NOUN
cana-1240	409	2	on	on	ADP
cana-1240	409	3	applied	apply	VERB
cana-1240	409	4	nonlinear	nonlinear	ADJ
cana-1240	409	5	analysis	analysis	NOUN
cana-1240	409	6	issn	issn	NOUN
cana-1240	409	7	:	:	PUNCT
cana-1240	409	8	1074	1074	NUM
cana-1240	409	9	-	-	PUNCT
cana-1240	409	10	133x	133x	NUM
cana-1240	409	11	vol	vol	NOUN
cana-1240	409	12	31	31	NUM
cana-1240	409	13	no	no	NOUN
cana-1240	409	14	.	.	PUNCT
cana-1240	410	1	6s	6s	NUM
cana-1240	410	2	(	(	PUNCT
cana-1240	410	3	2024	2024	NUM
cana-1240	410	4	)	)	PUNCT
cana-1240	410	5	519	519	NUM
cana-1240	410	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1240	410	7	figure	figure	NOUN
cana-1240	410	8	4	4	NUM
cana-1240	410	9	:	:	PUNCT
cana-1240	410	10	analysis	analysis	NOUN
cana-1240	410	11	of	of	ADP
cana-1240	410	12	sensitivity	sensitivity	NOUN
cana-1240	410	13	and	and	CCONJ
cana-1240	410	14	specificity	specificity	NOUN
cana-1240	410	15	the	the	DET
cana-1240	410	16	proposed	propose	VERB
cana-1240	410	17	detection	detection	NOUN
cana-1240	410	18	model	model	NOUN
cana-1240	410	19	acquires	acquire	VERB
cana-1240	410	20	a	a	DET
cana-1240	410	21	strong	strong	ADJ
cana-1240	410	22	sensitivity	sensitivity	NOUN
cana-1240	410	23	score	score	NOUN
cana-1240	410	24	of	of	ADP
cana-1240	410	25	0.973	0.973	NUM
cana-1240	410	26	,	,	PUNCT
cana-1240	410	27	suggesting	suggest	VERB
cana-1240	410	28	a	a	DET
cana-1240	410	29	reliable	reliable	ADJ
cana-1240	410	30	ability	ability	NOUN
cana-1240	410	31	to	to	PART
cana-1240	410	32	identify	identify	VERB
cana-1240	410	33	positive	positive	ADJ
cana-1240	410	34	cases	case	NOUN
cana-1240	410	35	of	of	ADP
cana-1240	410	36	lung	lung	NOUN
cana-1240	410	37	cancer	cancer	NOUN
cana-1240	410	38	.	.	PUNCT
cana-1240	411	1	this	this	PRON
cana-1240	411	2	outperforms	outperform	VERB
cana-1240	411	3	the	the	DET
cana-1240	411	4	individual	individual	ADJ
cana-1240	411	5	sensitivity	sensitivity	NOUN
cana-1240	411	6	scores	score	NOUN
cana-1240	411	7	of	of	ADP
cana-1240	411	8	mobilenetv2	mobilenetv2	PROPN
cana-1240	411	9	of	of	ADP
cana-1240	411	10	0.96	0.96	NUM
cana-1240	411	11	,	,	PUNCT
cana-1240	411	12	resnet101	resnet101	PROPN
cana-1240	411	13	of	of	ADP
cana-1240	411	14	0.937	0.937	NUM
cana-1240	411	15	,	,	PUNCT
cana-1240	411	16	squeezenet	squeezenet	NOUN
cana-1240	411	17	of	of	ADP
cana-1240	411	18	0.835	0.835	NUM
cana-1240	411	19	,	,	PUNCT
cana-1240	411	20	alexnet	alexnet	NOUN
cana-1240	411	21	of	of	ADP
cana-1240	411	22	0.781	0.781	NUM
cana-1240	411	23	,	,	PUNCT
cana-1240	411	24	and	and	CCONJ
cana-1240	411	25	darknet	darknet	NOUN
cana-1240	411	26	of	of	ADP
cana-1240	411	27	0.772	0.772	NUM
cana-1240	411	28	.	.	PUNCT
cana-1240	412	1	among	among	ADP
cana-1240	412	2	the	the	DET
cana-1240	412	3	models	model	NOUN
cana-1240	412	4	that	that	PRON
cana-1240	412	5	were	be	AUX
cana-1240	412	6	compared	compare	VERB
cana-1240	412	7	,	,	PUNCT
cana-1240	412	8	the	the	DET
cana-1240	412	9	proposed	propose	VERB
cana-1240	412	10	model	model	NOUN
cana-1240	412	11	stands	stand	VERB
cana-1240	412	12	out	out	ADP
cana-1240	412	13	as	as	ADP
cana-1240	412	14	having	have	VERB
cana-1240	412	15	the	the	DET
cana-1240	412	16	highest	high	ADJ
cana-1240	412	17	sensitivity	sensitivity	NOUN
cana-1240	412	18	,	,	PUNCT
cana-1240	412	19	highlighting	highlight	VERB
cana-1240	412	20	its	its	PRON
cana-1240	412	21	efficacy	efficacy	NOUN
cana-1240	412	22	in	in	ADP
cana-1240	412	23	identifying	identify	VERB
cana-1240	412	24	cases	case	NOUN
cana-1240	412	25	of	of	ADP
cana-1240	412	26	lung	lung	NOUN
cana-1240	412	27	cancer.the	cancer.the	PRON
cana-1240	412	28	proposed	propose	VERB
cana-1240	412	29	fuzsquresmobilenet	fuzsquresmobilenet	NOUN
cana-1240	412	30	model	model	NOUN
cana-1240	412	31	exhibits	exhibit	VERB
cana-1240	412	32	a	a	DET
cana-1240	412	33	very	very	ADV
cana-1240	412	34	high	high	ADJ
cana-1240	412	35	0.999	0.999	NUM
cana-1240	412	36	specificity	specificity	NOUN
cana-1240	412	37	.	.	PUNCT
cana-1240	413	1	this	this	PRON
cana-1240	413	2	suggests	suggest	VERB
cana-1240	413	3	that	that	SCONJ
cana-1240	413	4	the	the	DET
cana-1240	413	5	model	model	NOUN
cana-1240	413	6	performs	perform	VERB
cana-1240	413	7	exceptionally	exceptionally	ADV
cana-1240	413	8	well	well	ADV
cana-1240	413	9	at	at	ADP
cana-1240	413	10	correctly	correctly	ADV
cana-1240	413	11	ruling	rule	VERB
cana-1240	413	12	out	out	ADP
cana-1240	413	13	negative	negative	ADJ
cana-1240	413	14	cases	case	NOUN
cana-1240	413	15	,	,	PUNCT
cana-1240	413	16	which	which	PRON
cana-1240	413	17	helps	help	VERB
cana-1240	413	18	to	to	PART
cana-1240	413	19	reduce	reduce	VERB
cana-1240	413	20	the	the	DET
cana-1240	413	21	number	number	NOUN
cana-1240	413	22	of	of	ADP
cana-1240	413	23	false	false	ADJ
cana-1240	413	24	positives	positive	NOUN
cana-1240	413	25	in	in	ADP
cana-1240	413	26	the	the	DET
cana-1240	413	27	detection	detection	NOUN
cana-1240	413	28	of	of	ADP
cana-1240	413	29	lung	lung	NOUN
cana-1240	413	30	cancer	cancer	NOUN
cana-1240	413	31	.	.	PUNCT
cana-1240	414	1	when	when	SCONJ
cana-1240	414	2	compared	compare	VERB
cana-1240	414	3	to	to	ADP
cana-1240	414	4	the	the	DET
cana-1240	414	5	suggested	suggest	VERB
cana-1240	414	6	model	model	NOUN
cana-1240	414	7	,	,	PUNCT
cana-1240	414	8	mobilenetv2	mobilenetv2	PROPN
cana-1240	414	9	,	,	PUNCT
cana-1240	414	10	resnet101	resnet101	PROPN
cana-1240	414	11	,	,	PUNCT
cana-1240	414	12	and	and	CCONJ
cana-1240	414	13	squeezenet	squeezenet	NOUN
cana-1240	414	14	show	show	NOUN
cana-1240	414	15	specificities	specificity	NOUN
cana-1240	414	16	of	of	ADP
cana-1240	414	17	0.994	0.994	NUM
cana-1240	414	18	,	,	PUNCT
cana-1240	414	19	0.989	0.989	NUM
cana-1240	414	20	,	,	PUNCT
cana-1240	414	21	and	and	CCONJ
cana-1240	414	22	0.94	0.94	NUM
cana-1240	414	23	,	,	PUNCT
cana-1240	414	24	respectively	respectively	ADV
cana-1240	414	25	.	.	PUNCT
cana-1240	415	1	the	the	DET
cana-1240	415	2	performance	performance	NOUN
cana-1240	415	3	analysis	analysis	NOUN
cana-1240	415	4	of	of	ADP
cana-1240	415	5	accuracy	accuracy	NOUN
cana-1240	415	6	andprecision	andprecision	NOUN
cana-1240	415	7	fortheproposed	forthepropose	VERB
cana-1240	415	8	and	and	CCONJ
cana-1240	415	9	the	the	DET
cana-1240	415	10	current	current	ADJ
cana-1240	415	11	methods	method	NOUN
cana-1240	415	12	is	be	AUX
cana-1240	415	13	shown	show	VERB
cana-1240	415	14	in	in	ADP
cana-1240	415	15	figure	figure	NOUN
cana-1240	415	16	5	5	NUM
cana-1240	415	17	.	.	PUNCT
cana-1240	415	18	figure	figure	VERB
cana-1240	415	19	5	5	NUM
cana-1240	415	20	:	:	PUNCT
cana-1240	415	21	analysis	analysis	NOUN
cana-1240	415	22	of	of	ADP
cana-1240	415	23	accuracy	accuracy	NOUN
cana-1240	415	24	and	and	CCONJ
cana-1240	415	25	precision	precision	NOUN
cana-1240	415	26	the	the	DET
cana-1240	415	27	proposed	propose	VERB
cana-1240	415	28	model	model	NOUN
cana-1240	415	29	with	with	ADP
cana-1240	415	30	an	an	DET
cana-1240	415	31	accuracy	accuracy	NOUN
cana-1240	415	32	of	of	ADP
cana-1240	415	33	0.988	0.988	NUM
cana-1240	415	34	,	,	PUNCT
cana-1240	415	35	shows	show	VERB
cana-1240	415	36	that	that	SCONJ
cana-1240	415	37	it	it	PRON
cana-1240	415	38	is	be	AUX
cana-1240	415	39	very	very	ADV
cana-1240	415	40	good	good	ADJ
cana-1240	415	41	at	at	ADP
cana-1240	415	42	correctly	correctly	ADV
cana-1240	415	43	predicting	predict	VERB
cana-1240	415	44	both	both	CCONJ
cana-1240	415	45	positive	positive	ADJ
cana-1240	415	46	and	and	CCONJ
cana-1240	415	47	negative	negative	ADJ
cana-1240	415	48	cases	case	NOUN
cana-1240	415	49	in	in	ADP
cana-1240	415	50	the	the	DET
cana-1240	415	51	detection	detection	NOUN
cana-1240	415	52	of	of	ADP
cana-1240	415	53	lung	lung	NOUN
cana-1240	415	54	cancer	cancer	NOUN
cana-1240	415	55	.	.	PUNCT
cana-1240	416	1	additionally	additionally	ADV
cana-1240	416	2	,	,	PUNCT
cana-1240	416	3	mobilenetv2	mobilenetv2	PROPN
cana-1240	416	4	,	,	PUNCT
cana-1240	416	5	resnet101	resnet101	PROPN
cana-1240	416	6	,	,	PUNCT
cana-1240	416	7	and	and	CCONJ
cana-1240	416	8	squeezenet	squeezenet	NOUN
cana-1240	416	9	demonstrate	demonstrate	VERB
cana-1240	416	10	strong	strong	ADJ
cana-1240	416	11	accuracies	accuracy	NOUN
cana-1240	416	12	of	of	ADP
cana-1240	416	13	0.987	0.987	NUM
cana-1240	416	14	,	,	PUNCT
cana-1240	416	15	0.962	0.962	NUM
cana-1240	416	16	,	,	PUNCT
cana-1240	416	17	and	and	CCONJ
cana-1240	416	18	0.923	0.923	NUM
cana-1240	416	19	,	,	PUNCT
cana-1240	416	20	respectively	respectively	ADV
cana-1240	416	21	,	,	PUNCT
cana-1240	416	22	demonstrating	demonstrate	VERB
cana-1240	416	23	their	their	PRON
cana-1240	416	24	general	general	ADJ
cana-1240	416	25	dependability	dependability	NOUN
cana-1240	416	26	in	in	ADP
cana-1240	416	27	producing	produce	VERB
cana-1240	416	28	accurate	accurate	ADJ
cana-1240	416	29	predictions	prediction	NOUN
cana-1240	416	30	.	.	PUNCT
cana-1240	417	1	among	among	ADP
cana-1240	417	2	the	the	DET
cana-1240	417	3	models	model	NOUN
cana-1240	417	4	compared	compare	VERB
cana-1240	417	5	,	,	PUNCT
cana-1240	417	6	the	the	DET
cana-1240	417	7	proposed	propose	VERB
cana-1240	417	8	model	model	NOUN
cana-1240	417	9	stands	stand	VERB
cana-1240	417	10	out	out	ADP
cana-1240	417	11	with	with	ADP
cana-1240	417	12	the	the	DET
cana-1240	417	13	highest	high	ADJ
cana-1240	417	14	accuracy	accuracy	NOUN
cana-1240	417	15	,	,	PUNCT
cana-1240	417	16	highlighting	highlight	VERB
cana-1240	417	17	its	its	PRON
cana-1240	417	18	efficacy	efficacy	NOUN
cana-1240	417	19	in	in	ADP
cana-1240	417	20	offering	offer	VERB
cana-1240	417	21	accurate	accurate	ADJ
cana-1240	417	22	and	and	CCONJ
cana-1240	417	23	reliable	reliable	ADJ
cana-1240	417	24	predictions	prediction	NOUN
cana-1240	417	25	for	for	ADP
cana-1240	417	26	lung	lung	NOUN
cana-1240	417	27	cancer	cancer	NOUN
cana-1240	417	28	detection	detection	NOUN
cana-1240	417	29	.	.	PUNCT
cana-1240	418	1	the	the	DET
cana-1240	418	2	proposed	propose	VERB
cana-1240	418	3	model	model	NOUN
cana-1240	418	4	has	have	VERB
cana-1240	418	5	a	a	DET
cana-1240	418	6	precision	precision	NOUN
cana-1240	418	7	of	of	ADP
cana-1240	418	8	0.971	0.971	NUM
cana-1240	418	9	,	,	PUNCT
cana-1240	418	10	demonstrating	demonstrate	VERB
cana-1240	418	11	its	its	PRON
cana-1240	418	12	ability	ability	NOUN
cana-1240	418	13	to	to	PART
cana-1240	418	14	detect	detect	VERB
cana-1240	418	15	lung	lung	NOUN
cana-1240	418	16	cancer	cancer	NOUN
cana-1240	418	17	with	with	ADP
cana-1240	418	18	a	a	DET
cana-1240	418	19	high	high	ADJ
cana-1240	418	20	degree	degree	NOUN
cana-1240	418	21	of	of	ADP
cana-1240	418	22	accuracy	accuracy	NOUN
cana-1240	418	23	and	and	CCONJ
cana-1240	418	24	positive	positive	ADJ
cana-1240	418	25	predictions	prediction	NOUN
cana-1240	418	26	.	.	PUNCT
cana-1240	419	1	squeezenet	squeezenet	NOUN
cana-1240	419	2	,	,	PUNCT
cana-1240	419	3	resnet101	resnet101	PROPN
cana-1240	419	4	,	,	PUNCT
cana-1240	419	5	and	and	CCONJ
cana-1240	419	6	mobilenetv2	mobilenetv2	PROPN
cana-1240	419	7	also	also	ADV
cana-1240	419	8	exhibit	exhibit	VERB
cana-1240	419	9	the	the	DET
cana-1240	419	10	precision	precision	NOUN
cana-1240	419	11	values	value	NOUN
cana-1240	419	12	of	of	ADP
cana-1240	419	13	0.842	0.842	NUM
cana-1240	419	14	,	,	PUNCT
cana-1240	419	15	0.949	0.949	NUM
cana-1240	419	16	,	,	PUNCT
cana-1240	419	17	and	and	CCONJ
cana-1240	419	18	0.964	0.964	NUM
cana-1240	419	19	,	,	PUNCT
cana-1240	419	20	respectively	respectively	ADV
cana-1240	419	21	,	,	PUNCT
cana-1240	419	22	demonstrating	demonstrate	VERB
cana-1240	419	23	their	their	PRON
cana-1240	419	24	efficacy	efficacy	NOUN
cana-1240	419	25	in	in	ADP
cana-1240	419	26	reducing	reduce	VERB
cana-1240	419	27	false	false	ADJ
cana-1240	419	28	positives	positive	NOUN
cana-1240	419	29	.	.	PUNCT
cana-1240	420	1	the	the	DET
cana-1240	420	2	recall	recall	NOUN
cana-1240	420	3	and	and	CCONJ
cana-1240	420	4	npv	npv	NOUN
cana-1240	420	5	performance	performance	NOUN
cana-1240	420	6	analysis	analysis	NOUN
cana-1240	420	7	for	for	ADP
cana-1240	420	8	theproposed	thepropose	VERB
cana-1240	420	9	and	and	CCONJ
cana-1240	420	10	the	the	DET
cana-1240	420	11	existing	exist	VERB
cana-1240	420	12	methods	method	NOUN
cana-1240	420	13	is	be	AUX
cana-1240	420	14	shown	show	VERB
cana-1240	420	15	in	in	ADP
cana-1240	420	16	figure	figure	NOUN
cana-1240	420	17	6	6	NUM
cana-1240	420	18	.	.	PUNCT
cana-1240	421	1	communications	communication	NOUN
cana-1240	421	2	on	on	ADP
cana-1240	421	3	applied	apply	VERB
cana-1240	421	4	nonlinear	nonlinear	ADJ
cana-1240	421	5	analysis	analysis	NOUN
cana-1240	421	6	issn	issn	NOUN
cana-1240	421	7	:	:	PUNCT
cana-1240	421	8	1074	1074	NUM
cana-1240	421	9	-	-	PUNCT
cana-1240	421	10	133x	133x	NUM
cana-1240	421	11	vol	vol	NOUN
cana-1240	421	12	31	31	NUM
cana-1240	421	13	no	no	NOUN
cana-1240	421	14	.	.	PUNCT
cana-1240	422	1	6s	6s	NUM
cana-1240	422	2	(	(	PUNCT
cana-1240	422	3	2024	2024	NUM
cana-1240	422	4	)	)	PUNCT
cana-1240	422	5	520	520	NUM
cana-1240	422	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1240	422	7	figure	figure	NOUN
cana-1240	422	8	6	6	NUM
cana-1240	422	9	:	:	PUNCT
cana-1240	422	10	analysis	analysis	NOUN
cana-1240	422	11	of	of	ADP
cana-1240	422	12	recall	recall	NOUN
cana-1240	422	13	and	and	CCONJ
cana-1240	422	14	npv	npv	NOUN
cana-1240	422	15	the	the	DET
cana-1240	422	16	proposed	propose	VERB
cana-1240	422	17	model	model	NOUN
cana-1240	422	18	has	have	VERB
cana-1240	422	19	a	a	DET
cana-1240	422	20	high	high	ADJ
cana-1240	422	21	recall	recall	NOUN
cana-1240	422	22	of	of	ADP
cana-1240	422	23	0.986	0.986	NUM
cana-1240	422	24	,	,	PUNCT
cana-1240	422	25	which	which	PRON
cana-1240	422	26	highlights	highlight	VERB
cana-1240	422	27	its	its	PRON
cana-1240	422	28	remarkable	remarkable	ADJ
cana-1240	422	29	ability	ability	NOUN
cana-1240	422	30	to	to	PART
cana-1240	422	31	accurately	accurately	ADV
cana-1240	422	32	identify	identify	VERB
cana-1240	422	33	almost	almost	ADV
cana-1240	422	34	99	99	NUM
cana-1240	422	35	%	%	NOUN
cana-1240	422	36	of	of	ADP
cana-1240	422	37	real	real	ADJ
cana-1240	422	38	positive	positive	ADJ
cana-1240	422	39	cases	case	NOUN
cana-1240	422	40	of	of	ADP
cana-1240	422	41	lung	lung	NOUN
cana-1240	422	42	cancer	cancer	NOUN
cana-1240	422	43	.	.	PUNCT
cana-1240	423	1	in	in	ADP
cana-1240	423	2	contrast	contrast	NOUN
cana-1240	423	3	,	,	PUNCT
cana-1240	423	4	mobilenetv2	mobilenetv2	PROPN
cana-1240	423	5	,	,	PUNCT
cana-1240	423	6	resnet101	resnet101	PROPN
cana-1240	423	7	,	,	PUNCT
cana-1240	423	8	and	and	CCONJ
cana-1240	423	9	squeezenet	squeezenet	NOUN
cana-1240	423	10	all	all	PRON
cana-1240	423	11	show	show	VERB
cana-1240	423	12	the	the	DET
cana-1240	423	13	recalls	recall	NOUN
cana-1240	423	14	of	of	ADP
cana-1240	423	15	0.951	0.951	NUM
cana-1240	423	16	,	,	PUNCT
cana-1240	423	17	0.927	0.927	NUM
cana-1240	423	18	,	,	PUNCT
cana-1240	423	19	and	and	CCONJ
cana-1240	423	20	0.828	0.828	NUM
cana-1240	423	21	,	,	PUNCT
cana-1240	423	22	respectively	respectively	ADV
cana-1240	423	23	,	,	PUNCT
cana-1240	423	24	indicating	indicate	VERB
cana-1240	423	25	that	that	SCONJ
cana-1240	423	26	they	they	PRON
cana-1240	423	27	can	can	AUX
cana-1240	423	28	recognize	recognize	VERB
cana-1240	423	29	positive	positive	ADJ
cana-1240	423	30	instances	instance	NOUN
cana-1240	423	31	,	,	PUNCT
cana-1240	423	32	though	though	SCONJ
cana-1240	423	33	at	at	ADP
cana-1240	423	34	slightly	slightly	ADV
cana-1240	423	35	lower	low	ADJ
cana-1240	423	36	rates	rate	NOUN
cana-1240	423	37	than	than	ADP
cana-1240	423	38	the	the	DET
cana-1240	423	39	proposed	propose	VERB
cana-1240	423	40	framework	framework	NOUN
cana-1240	423	41	.	.	PUNCT
cana-1240	424	1	the	the	DET
cana-1240	424	2	proposed	propose	VERB
cana-1240	424	3	model	model	NOUN
cana-1240	424	4	has	have	VERB
cana-1240	424	5	an	an	DET
cana-1240	424	6	exceptionally	exceptionally	ADV
cana-1240	424	7	high	high	ADJ
cana-1240	424	8	npv	npv	NOUN
cana-1240	424	9	of	of	ADP
cana-1240	424	10	0.995	0.995	NUM
cana-1240	424	11	,	,	PUNCT
cana-1240	424	12	which	which	PRON
cana-1240	424	13	suggests	suggest	VERB
cana-1240	424	14	that	that	SCONJ
cana-1240	424	15	it	it	PRON
cana-1240	424	16	is	be	AUX
cana-1240	424	17	accurate	accurate	ADJ
cana-1240	424	18	in	in	ADP
cana-1240	424	19	predicting	predict	VERB
cana-1240	424	20	negative	negative	ADJ
cana-1240	424	21	cases	case	NOUN
cana-1240	424	22	.	.	PUNCT
cana-1240	425	1	additionally	additionally	ADV
cana-1240	425	2	,	,	PUNCT
cana-1240	425	3	mobilenetv2	mobilenetv2	PROPN
cana-1240	425	4	,	,	PUNCT
cana-1240	425	5	resnet101	resnet101	PROPN
cana-1240	425	6	,	,	PUNCT
cana-1240	425	7	and	and	CCONJ
cana-1240	425	8	squeezenet	squeezenet	NOUN
cana-1240	425	9	demonstrate	demonstrate	VERB
cana-1240	425	10	a	a	DET
cana-1240	425	11	high	high	ADJ
cana-1240	425	12	npv	npv	NOUN
cana-1240	425	13	of	of	ADP
cana-1240	425	14	0.995	0.995	NUM
cana-1240	425	15	,	,	PUNCT
cana-1240	425	16	0.99	0.99	NUM
cana-1240	425	17	,	,	PUNCT
cana-1240	425	18	and	and	CCONJ
cana-1240	425	19	0.97	0.97	NUM
cana-1240	425	20	,	,	PUNCT
cana-1240	425	21	respectively	respectively	ADV
cana-1240	425	22	,	,	PUNCT
cana-1240	425	23	demonstrating	demonstrate	VERB
cana-1240	425	24	their	their	PRON
cana-1240	425	25	accuracy	accuracy	NOUN
cana-1240	425	26	in	in	ADP
cana-1240	425	27	excluding	exclude	VERB
cana-1240	425	28	negative	negative	ADJ
cana-1240	425	29	instances	instance	NOUN
cana-1240	425	30	.	.	PUNCT
cana-1240	426	1	conventional	conventional	ADJ
cana-1240	426	2	models	model	NOUN
cana-1240	426	3	like	like	ADP
cana-1240	426	4	darknet	darknet	NOUN
cana-1240	426	5	and	and	CCONJ
cana-1240	426	6	alexnet	alexnet	PROPN
cana-1240	426	7	also	also	ADV
cana-1240	426	8	show	show	VERB
cana-1240	426	9	acceptable	acceptable	ADJ
cana-1240	426	10	npvs	npvs	NOUN
cana-1240	426	11	of	of	ADP
cana-1240	426	12	0.939	0.939	NUM
cana-1240	426	13	and	and	CCONJ
cana-1240	426	14	0.95	0.95	NUM
cana-1240	426	15	,	,	PUNCT
cana-1240	426	16	respectively	respectively	ADV
cana-1240	426	17	.	.	PUNCT
cana-1240	427	1	figure	figure	NOUN
cana-1240	427	2	7	7	NUM
cana-1240	427	3	illustrates	illustrate	VERB
cana-1240	427	4	the	the	DET
cana-1240	427	5	performance	performance	NOUN
cana-1240	427	6	analysis	analysis	NOUN
cana-1240	427	7	of	of	ADP
cana-1240	427	8	f	f	NOUN
cana-1240	427	9	-	-	PUNCT
cana-1240	427	10	measure	measure	NOUN
cana-1240	427	11	and	and	CCONJ
cana-1240	427	12	mcc	mcc	NOUN
cana-1240	427	13	with	with	ADP
cana-1240	427	14	the	the	DET
cana-1240	427	15	proposed	propose	VERB
cana-1240	427	16	and	and	CCONJ
cana-1240	427	17	the	the	DET
cana-1240	427	18	existing	exist	VERB
cana-1240	427	19	methods	method	NOUN
cana-1240	427	20	.	.	PUNCT
cana-1240	428	1	figure	figure	VERB
cana-1240	428	2	7	7	NUM
cana-1240	428	3	:	:	PUNCT
cana-1240	428	4	analysis	analysis	NOUN
cana-1240	428	5	of	of	ADP
cana-1240	428	6	f	f	NOUN
cana-1240	428	7	-	-	PUNCT
cana-1240	428	8	measure	measure	NOUN
cana-1240	428	9	and	and	CCONJ
cana-1240	428	10	mcc	mcc	PROPN
cana-1240	428	11	the	the	DET
cana-1240	428	12	proposed	propose	VERB
cana-1240	428	13	model	model	NOUN
cana-1240	428	14	with	with	ADP
cana-1240	428	15	the	the	DET
cana-1240	428	16	highest	high	ADJ
cana-1240	428	17	f	f	NOUN
cana-1240	428	18	-	-	PUNCT
cana-1240	428	19	measure	measure	NOUN
cana-1240	428	20	of	of	ADP
cana-1240	428	21	0.971	0.971	NUM
cana-1240	428	22	exhibits	exhibit	NOUN
cana-1240	428	23	an	an	DET
cana-1240	428	24	acceptable	acceptable	ADJ
cana-1240	428	25	balance	balance	NOUN
cana-1240	428	26	between	between	ADP
cana-1240	428	27	precision	precision	NOUN
cana-1240	428	28	and	and	CCONJ
cana-1240	428	29	recall	recall	NOUN
cana-1240	428	30	.	.	PUNCT
cana-1240	429	1	this	this	PRON
cana-1240	429	2	implies	imply	VERB
cana-1240	429	3	that	that	SCONJ
cana-1240	429	4	the	the	DET
cana-1240	429	5	model	model	NOUN
cana-1240	429	6	performs	perform	VERB
cana-1240	429	7	well	well	ADV
cana-1240	429	8	in	in	ADP
cana-1240	429	9	both	both	PRON
cana-1240	429	10	recalling	recall	VERB
cana-1240	429	11	actual	actual	ADJ
cana-1240	429	12	positive	positive	ADJ
cana-1240	429	13	instances	instance	NOUN
cana-1240	429	14	and	and	CCONJ
cana-1240	429	15	accurately	accurately	ADV
cana-1240	429	16	predicting	predict	VERB
cana-1240	429	17	positive	positive	ADJ
cana-1240	429	18	outcomes	outcome	NOUN
cana-1240	429	19	.	.	PUNCT
cana-1240	430	1	f	f	X
cana-1240	430	2	-	-	PUNCT
cana-1240	430	3	measure	measure	NOUN
cana-1240	430	4	of	of	ADP
cana-1240	430	5	0.966	0.966	NUM
cana-1240	430	6	,	,	PUNCT
cana-1240	430	7	0.948	0.948	NUM
cana-1240	430	8	,	,	PUNCT
cana-1240	430	9	and	and	CCONJ
cana-1240	430	10	0.832	0.832	NUM
cana-1240	430	11	,	,	PUNCT
cana-1240	430	12	respectively	respectively	ADV
cana-1240	430	13	,	,	PUNCT
cana-1240	430	14	are	be	AUX
cana-1240	430	15	also	also	ADV
cana-1240	430	16	displayed	display	VERB
cana-1240	430	17	by	by	ADP
cana-1240	430	18	mobilenetv2	mobilenetv2	PROPN
cana-1240	430	19	,	,	PUNCT
cana-1240	430	20	resnet101	resnet101	PROPN
cana-1240	430	21	,	,	PUNCT
cana-1240	430	22	and	and	CCONJ
cana-1240	430	23	squeezenet	squeezenet	NOUN
cana-1240	430	24	,	,	PUNCT
cana-1240	430	25	demonstrating	demonstrate	VERB
cana-1240	430	26	their	their	PRON
cana-1240	430	27	overall	overall	ADJ
cana-1240	430	28	efficacy	efficacy	NOUN
cana-1240	430	29	in	in	ADP
cana-1240	430	30	striking	strike	VERB
cana-1240	430	31	a	a	DET
cana-1240	430	32	balance	balance	NOUN
cana-1240	430	33	between	between	ADP
cana-1240	430	34	recall	recall	NOUN
cana-1240	430	35	and	and	CCONJ
cana-1240	430	36	precision	precision	NOUN
cana-1240	430	37	.	.	PUNCT
cana-1240	431	1	conventional	conventional	ADJ
cana-1240	431	2	models	model	NOUN
cana-1240	431	3	like	like	ADP
cana-1240	431	4	alexnet	alexnet	NOUN
cana-1240	431	5	and	and	CCONJ
cana-1240	431	6	darknet	darknet	PROPN
cana-1240	431	7	exhibit	exhibit	VERB
cana-1240	431	8	a	a	DET
cana-1240	431	9	relatively	relatively	ADV
cana-1240	431	10	lower	low	ADJ
cana-1240	431	11	f	f	NOUN
cana-1240	431	12	-	-	PUNCT
cana-1240	431	13	measure	measure	NOUN
cana-1240	431	14	of	of	ADP
cana-1240	431	15	0.807	0.807	NUM
cana-1240	431	16	and	and	CCONJ
cana-1240	431	17	0.775	0.775	NUM
cana-1240	431	18	,	,	PUNCT
cana-1240	431	19	respectively	respectively	ADV
cana-1240	431	20	.	.	PUNCT
cana-1240	432	1	mobilenetv2	mobilenetv2	PROPN
cana-1240	432	2	,	,	PUNCT
cana-1240	432	3	resnet101	resnet101	PROPN
cana-1240	432	4	,	,	PUNCT
cana-1240	432	5	and	and	CCONJ
cana-1240	432	6	squeezenet	squeezenet	NOUN
cana-1240	432	7	also	also	ADV
cana-1240	432	8	display	display	VERB
cana-1240	432	9	respectable	respectable	ADJ
cana-1240	432	10	mcc	mcc	NOUN
cana-1240	432	11	values	value	NOUN
cana-1240	432	12	of	of	ADP
cana-1240	432	13	0.901	0.901	NUM
cana-1240	432	14	,	,	PUNCT
cana-1240	432	15	0.779	0.779	NUM
cana-1240	432	16	,	,	PUNCT
cana-1240	432	17	and	and	CCONJ
cana-1240	432	18	0.925	0.925	NUM
cana-1240	432	19	,	,	PUNCT
cana-1240	432	20	respectively	respectively	ADV
cana-1240	432	21	.	.	PUNCT
cana-1240	433	1	the	the	DET
cana-1240	433	2	proposed	propose	VERB
cana-1240	433	3	model	model	NOUN
cana-1240	433	4	performs	perform	VERB
cana-1240	433	5	well	well	ADV
cana-1240	433	6	overall	overall	ADV
cana-1240	433	7	in	in	ADP
cana-1240	433	8	the	the	DET
cana-1240	433	9	detection	detection	NOUN
cana-1240	433	10	of	of	ADP
cana-1240	433	11	lung	lung	NOUN
cana-1240	433	12	cancer	cancer	NOUN
cana-1240	433	13	with	with	ADP
cana-1240	433	14	a	a	DET
cana-1240	433	15	high	high	ADJ
cana-1240	433	16	mcc	mcc	NOUN
cana-1240	433	17	of	of	ADP
cana-1240	433	18	0.954	0.954	NUM
cana-1240	433	19	.	.	PUNCT
cana-1240	434	1	this	this	PRON
cana-1240	434	2	implies	imply	VERB
cana-1240	434	3	that	that	SCONJ
cana-1240	434	4	the	the	DET
cana-1240	434	5	model	model	NOUN
cana-1240	434	6	successfully	successfully	ADV
cana-1240	434	7	manages	manage	VERB
cana-1240	434	8	the	the	DET
cana-1240	434	9	trade	trade	NOUN
cana-1240	434	10	-	-	PUNCT
cana-1240	434	11	off	off	NOUN
cana-1240	434	12	between	between	ADP
cana-1240	434	13	false	false	ADJ
cana-1240	434	14	positives	positive	NOUN
cana-1240	434	15	and	and	CCONJ
cana-1240	434	16	false	false	ADJ
cana-1240	434	17	negatives	negative	NOUN
cana-1240	434	18	in	in	ADP
cana-1240	434	19	addition	addition	NOUN
cana-1240	434	20	to	to	ADP
cana-1240	434	21	having	have	VERB
cana-1240	434	22	high	high	ADJ
cana-1240	434	23	sensitivity	sensitivity	NOUN
cana-1240	434	24	and	and	CCONJ
cana-1240	434	25	specificity	specificity	NOUN
cana-1240	434	26	.	.	PUNCT
cana-1240	435	1	the	the	DET
cana-1240	435	2	proposed	propose	VERB
cana-1240	435	3	model	model	NOUN
cana-1240	435	4	has	have	VERB
cana-1240	435	5	the	the	DET
cana-1240	435	6	communications	communication	NOUN
cana-1240	435	7	on	on	ADP
cana-1240	435	8	applied	apply	VERB
cana-1240	435	9	nonlinear	nonlinear	ADJ
cana-1240	435	10	analysis	analysis	NOUN
cana-1240	435	11	issn	issn	NOUN
cana-1240	435	12	:	:	PUNCT
cana-1240	435	13	1074	1074	NUM
cana-1240	435	14	-	-	PUNCT
cana-1240	435	15	133x	133x	NUM
cana-1240	435	16	vol	vol	NOUN
cana-1240	435	17	31	31	NUM
cana-1240	435	18	no	no	NOUN
cana-1240	435	19	.	.	PUNCT
cana-1240	436	1	6s	6s	NUM
cana-1240	436	2	(	(	PUNCT
cana-1240	436	3	2024	2024	NUM
cana-1240	436	4	)	)	PUNCT
cana-1240	436	5	521	521	NUM
cana-1240	436	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-1240	436	7	highest	high	ADJ
cana-1240	436	8	mcc	mcc	NOUN
cana-1240	436	9	,	,	PUNCT
cana-1240	436	10	indicating	indicate	VERB
cana-1240	436	11	its	its	PRON
cana-1240	436	12	capacity	capacity	NOUN
cana-1240	436	13	to	to	PART
cana-1240	436	14	offer	offer	VERB
cana-1240	436	15	a	a	DET
cana-1240	436	16	thorough	thorough	ADJ
cana-1240	436	17	and	and	CCONJ
cana-1240	436	18	impartial	impartial	ADJ
cana-1240	436	19	evaluation	evaluation	NOUN
cana-1240	436	20	of	of	ADP
cana-1240	436	21	its	its	PRON
cana-1240	436	22	performance	performance	NOUN
cana-1240	436	23	in	in	ADP
cana-1240	436	24	lung	lung	NOUN
cana-1240	436	25	cancer	cancer	NOUN
cana-1240	436	26	detection	detection	NOUN
cana-1240	436	27	.	.	PUNCT
cana-1240	437	1	the	the	DET
cana-1240	437	2	performance	performance	NOUN
cana-1240	437	3	analysis	analysis	NOUN
cana-1240	437	4	of	of	ADP
cana-1240	437	5	fpr	fpr	PRON
cana-1240	437	6	and	and	CCONJ
cana-1240	437	7	fnr	fnr	PROPN
cana-1240	437	8	fortheproposed	forthepropose	VERB
cana-1240	437	9	and	and	CCONJ
cana-1240	437	10	current	current	ADJ
cana-1240	437	11	methods	method	NOUN
cana-1240	437	12	is	be	AUX
cana-1240	437	13	shown	show	VERB
cana-1240	437	14	in	in	ADP
cana-1240	437	15	figure	figure	NOUN
cana-1240	437	16	8	8	NUM
cana-1240	437	17	.	.	PUNCT
cana-1240	438	1	figure	figure	VERB
cana-1240	438	2	8	8	NUM
cana-1240	438	3	:	:	PUNCT
cana-1240	438	4	analysis	analysis	NOUN
cana-1240	438	5	of	of	ADP
cana-1240	438	6	fpr	fpr	PRON
cana-1240	438	7	and	and	CCONJ
cana-1240	438	8	fnr	fnr	VERB
cana-1240	438	9	the	the	DET
cana-1240	438	10	proposed	propose	VERB
cana-1240	438	11	model	model	NOUN
cana-1240	438	12	with	with	ADP
cana-1240	438	13	a	a	DET
cana-1240	438	14	low	low	ADJ
cana-1240	438	15	fpr	fpr	NOUN
cana-1240	438	16	of	of	ADP
cana-1240	438	17	0.024	0.024	NUM
cana-1240	438	18	,	,	PUNCT
cana-1240	438	19	shows	show	VERB
cana-1240	438	20	that	that	SCONJ
cana-1240	438	21	only	only	ADV
cana-1240	438	22	a	a	DET
cana-1240	438	23	small	small	ADJ
cana-1240	438	24	percentage	percentage	NOUN
cana-1240	438	25	of	of	ADP
cana-1240	438	26	real	real	ADJ
cana-1240	438	27	negative	negative	ADJ
cana-1240	438	28	instances	instance	NOUN
cana-1240	438	29	are	be	AUX
cana-1240	438	30	mistakenly	mistakenly	ADV
cana-1240	438	31	identified	identify	VERB
cana-1240	438	32	as	as	ADP
cana-1240	438	33	positive	positive	ADJ
cana-1240	438	34	.	.	PUNCT
cana-1240	439	1	a	a	DET
cana-1240	439	2	low	low	ADJ
cana-1240	439	3	false	false	ADJ
cana-1240	439	4	positive	positive	ADJ
cana-1240	439	5	rate	rate	NOUN
cana-1240	439	6	(	(	PUNCT
cana-1240	439	7	fpr	fpr	NOUN
cana-1240	439	8	)	)	PUNCT
cana-1240	439	9	is	be	AUX
cana-1240	439	10	preferable	preferable	ADJ
cana-1240	439	11	in	in	ADP
cana-1240	439	12	medical	medical	ADJ
cana-1240	439	13	applications	application	NOUN
cana-1240	439	14	because	because	SCONJ
cana-1240	439	15	it	it	PRON
cana-1240	439	16	suggests	suggest	VERB
cana-1240	439	17	a	a	DET
cana-1240	439	18	reduced	reduced	ADJ
cana-1240	439	19	chance	chance	NOUN
cana-1240	439	20	of	of	ADP
cana-1240	439	21	false	false	ADJ
cana-1240	439	22	alarms	alarm	NOUN
cana-1240	439	23	or	or	CCONJ
cana-1240	439	24	needless	needless	ADJ
cana-1240	439	25	treatments	treatment	NOUN
cana-1240	439	26	for	for	ADP
cana-1240	439	27	patients	patient	NOUN
cana-1240	439	28	who	who	PRON
cana-1240	439	29	do	do	AUX
cana-1240	439	30	not	not	PART
cana-1240	439	31	have	have	VERB
cana-1240	439	32	lung	lung	NOUN
cana-1240	439	33	cancer	cancer	NOUN
cana-1240	439	34	.	.	PUNCT
cana-1240	440	1	squeezenet	squeezenet	NOUN
cana-1240	440	2	,	,	PUNCT
cana-1240	440	3	mobilenetv2	mobilenetv2	PROPN
cana-1240	440	4	,	,	PUNCT
cana-1240	440	5	and	and	CCONJ
cana-1240	440	6	resnet101	resnet101	PROPN
cana-1240	440	7	display	display	VERB
cana-1240	440	8	comparatively	comparatively	ADV
cana-1240	440	9	low	low	ADJ
cana-1240	440	10	fpr	fpr	NOUN
cana-1240	440	11	values	value	NOUN
cana-1240	440	12	of	of	ADP
cana-1240	440	13	0.032	0.032	NUM
cana-1240	440	14	,	,	PUNCT
cana-1240	440	15	0.03	0.03	NUM
cana-1240	440	16	,	,	PUNCT
cana-1240	440	17	and	and	CCONJ
cana-1240	440	18	0.075	0.075	NUM
cana-1240	440	19	,	,	PUNCT
cana-1240	440	20	respectively	respectively	ADV
cana-1240	440	21	,	,	PUNCT
cana-1240	440	22	demonstrating	demonstrate	VERB
cana-1240	440	23	their	their	PRON
cana-1240	440	24	efficacy	efficacy	NOUN
cana-1240	440	25	in	in	ADP
cana-1240	440	26	preventing	prevent	VERB
cana-1240	440	27	false	false	ADJ
cana-1240	440	28	positives	positive	NOUN
cana-1240	440	29	.	.	PUNCT
cana-1240	441	1	the	the	DET
cana-1240	441	2	proposed	propose	VERB
cana-1240	441	3	model	model	NOUN
cana-1240	441	4	's	's	PART
cana-1240	441	5	fnr	fnr	NOUN
cana-1240	441	6	of	of	ADP
cana-1240	441	7	0.067	0.067	NUM
cana-1240	441	8	indicates	indicate	VERB
cana-1240	441	9	a	a	DET
cana-1240	441	10	comparatively	comparatively	ADV
cana-1240	441	11	low	low	ADJ
cana-1240	441	12	rate	rate	NOUN
cana-1240	441	13	of	of	ADP
cana-1240	441	14	false	false	ADJ
cana-1240	441	15	negatives	negative	NOUN
cana-1240	441	16	.	.	PUNCT
cana-1240	442	1	this	this	PRON
cana-1240	442	2	suggests	suggest	VERB
cana-1240	442	3	that	that	SCONJ
cana-1240	442	4	the	the	DET
cana-1240	442	5	model	model	NOUN
cana-1240	442	6	has	have	VERB
cana-1240	442	7	a	a	DET
cana-1240	442	8	high	high	ADJ
cana-1240	442	9	sensitivity	sensitivity	NOUN
cana-1240	442	10	for	for	ADP
cana-1240	442	11	detecting	detect	VERB
cana-1240	442	12	lung	lung	NOUN
cana-1240	442	13	cancer	cancer	NOUN
cana-1240	442	14	because	because	SCONJ
cana-1240	442	15	it	it	PRON
cana-1240	442	16	accounts	account	VERB
cana-1240	442	17	for	for	ADP
cana-1240	442	18	a	a	DET
cana-1240	442	19	sizable	sizable	ADJ
cana-1240	442	20	fraction	fraction	NOUN
cana-1240	442	21	of	of	ADP
cana-1240	442	22	positive	positive	ADJ
cana-1240	442	23	cases	case	NOUN
cana-1240	442	24	.	.	PUNCT
cana-1240	443	1	compared	compare	VERB
cana-1240	443	2	to	to	ADP
cana-1240	443	3	the	the	DET
cana-1240	443	4	other	other	ADJ
cana-1240	443	5	models	model	NOUN
cana-1240	443	6	,	,	PUNCT
cana-1240	443	7	the	the	DET
cana-1240	443	8	proposed	propose	VERB
cana-1240	443	9	model	model	NOUN
cana-1240	443	10	achieved	achieve	VERB
cana-1240	443	11	the	the	DET
cana-1240	443	12	lowest	low	ADJ
cana-1240	443	13	error	error	NOUN
cana-1240	443	14	rate	rate	NOUN
cana-1240	443	15	achieving	achieve	VERB
cana-1240	443	16	the	the	DET
cana-1240	443	17	precise	precise	ADJ
cana-1240	443	18	detection	detection	NOUN
cana-1240	443	19	of	of	ADP
cana-1240	443	20	lung	lung	NOUN
cana-1240	443	21	cancer	cancer	NOUN
cana-1240	443	22	.	.	PUNCT
cana-1240	444	1	5	5	X
cana-1240	444	2	.	.	X
cana-1240	444	3	conclusion	conclusion	NOUN
cana-1240	444	4	this	this	DET
cana-1240	444	5	research	research	NOUN
cana-1240	444	6	presented	present	VERB
cana-1240	444	7	a	a	DET
cana-1240	444	8	novel	novel	ADJ
cana-1240	444	9	techniqueto	techniqueto	NOUN
cana-1240	444	10	detectthelung	detectthelung	NOUN
cana-1240	444	11	cancer	cancer	NOUN
cana-1240	444	12	,	,	PUNCT
cana-1240	444	13	addressing	address	VERB
cana-1240	444	14	the	the	DET
cana-1240	444	15	urgent	urgent	ADJ
cana-1240	444	16	need	need	NOUN
cana-1240	444	17	for	for	ADP
cana-1240	444	18	early	early	ADJ
cana-1240	444	19	diagnosis	diagnosis	NOUN
cana-1240	444	20	to	to	PART
cana-1240	444	21	raise	raise	VERB
cana-1240	444	22	global	global	ADJ
cana-1240	444	23	survival	survival	NOUN
cana-1240	444	24	rates	rate	NOUN
cana-1240	444	25	against	against	ADP
cana-1240	444	26	this	this	DET
cana-1240	444	27	deadly	deadly	ADJ
cana-1240	444	28	and	and	CCONJ
cana-1240	444	29	pervasive	pervasive	ADJ
cana-1240	444	30	illness	illness	NOUN
cana-1240	444	31	.	.	PUNCT
cana-1240	445	1	the	the	DET
cana-1240	445	2	mask	mask	NOUN
cana-1240	445	3	r	r	NOUN
cana-1240	445	4	-	-	PUNCT
cana-1240	445	5	cnn	cnn	PROPN
cana-1240	445	6	can	can	AUX
cana-1240	445	7	be	be	AUX
cana-1240	445	8	precisely	precisely	ADV
cana-1240	445	9	identified	identify	VERB
cana-1240	445	10	as	as	ADP
cana-1240	445	11	the	the	DET
cana-1240	445	12	region	region	NOUN
cana-1240	445	13	of	of	ADP
cana-1240	445	14	interest	interest	NOUN
cana-1240	445	15	through	through	ADP
cana-1240	445	16	the	the	DET
cana-1240	445	17	combination	combination	NOUN
cana-1240	445	18	of	of	ADP
cana-1240	445	19	the	the	DET
cana-1240	445	20	modified	modify	VERB
cana-1240	445	21	fuzzy	fuzzy	ADJ
cana-1240	445	22	analytic	analytic	ADJ
cana-1240	445	23	hierarchy	hierarchy	NOUN
cana-1240	445	24	process	process	NOUN
cana-1240	445	25	and	and	CCONJ
cana-1240	445	26	a	a	DET
cana-1240	445	27	hybrid	hybrid	ADJ
cana-1240	445	28	chimpgaz	chimpgaz	NOUN
cana-1240	445	29	optimization	optimization	NOUN
cana-1240	445	30	algorithm	algorithm	NOUN
cana-1240	445	31	.	.	PUNCT
cana-1240	446	1	this	this	DET
cana-1240	446	2	process	process	NOUN
cana-1240	446	3	guarantees	guarantee	VERB
cana-1240	446	4	the	the	DET
cana-1240	446	5	best	good	ADJ
cana-1240	446	6	possible	possible	ADJ
cana-1240	446	7	parameter	parameter	NOUN
cana-1240	446	8	configurations	configuration	NOUN
cana-1240	446	9	.	.	PUNCT
cana-1240	447	1	the	the	DET
cana-1240	447	2	hybrid	hybrid	ADJ
cana-1240	447	3	optimization	optimization	NOUN
cana-1240	447	4	algorithm	algorithm	NOUN
cana-1240	447	5	augments	augment	VERB
cana-1240	447	6	the	the	DET
cana-1240	447	7	discriminatory	discriminatory	ADJ
cana-1240	447	8	power	power	NOUN
cana-1240	447	9	of	of	ADP
cana-1240	447	10	the	the	DET
cana-1240	447	11	feature	feature	NOUN
cana-1240	447	12	ranking	rank	VERB
cana-1240	447	13	system	system	NOUN
cana-1240	447	14	by	by	ADP
cana-1240	447	15	employing	employ	VERB
cana-1240	447	16	a	a	DET
cana-1240	447	17	modified	modify	VERB
cana-1240	447	18	fuzzy	fuzzy	ADJ
cana-1240	447	19	ahp	ahp	NOUN
cana-1240	447	20	with	with	ADP
cana-1240	447	21	sigmoid	sigmoid	NOUN
cana-1240	447	22	membership	membership	NOUN
cana-1240	447	23	functions	function	NOUN
cana-1240	447	24	.	.	PUNCT
cana-1240	448	1	the	the	DET
cana-1240	448	2	proposed	propose	VERB
cana-1240	448	3	model	model	NOUN
cana-1240	448	4	,	,	PUNCT
cana-1240	448	5	"	"	PUNCT
cana-1240	448	6	fuzsquresmobilenet	fuzsquresmobilenet	NOUN
cana-1240	448	7	,	,	PUNCT
cana-1240	448	8	"	"	PUNCT
cana-1240	448	9	combines	combine	VERB
cana-1240	448	10	fuzzy	fuzzy	ADJ
cana-1240	448	11	logic	logic	NOUN
cana-1240	448	12	-	-	PUNCT
cana-1240	448	13	based	base	VERB
cana-1240	448	14	preliminary	preliminary	ADJ
cana-1240	448	15	detection	detection	NOUN
cana-1240	448	16	with	with	ADP
cana-1240	448	17	pre	pre	ADJ
cana-1240	448	18	-	-	ADJ
cana-1240	448	19	trained	train	VERB
cana-1240	448	20	deep	deep	ADJ
cana-1240	448	21	learning	learning	NOUN
cana-1240	448	22	models	model	NOUN
cana-1240	448	23	(	(	PUNCT
cana-1240	448	24	squeezenet	squeezenet	NOUN
cana-1240	448	25	,	,	PUNCT
cana-1240	448	26	resnet101	resnet101	PROPN
cana-1240	448	27	,	,	PUNCT
cana-1240	448	28	and	and	CCONJ
cana-1240	448	29	mobilenetv2	mobilenetv2	PROPN
cana-1240	448	30	)	)	PUNCT
cana-1240	448	31	.	.	PUNCT
cana-1240	449	1	this	this	DET
cana-1240	449	2	combination	combination	NOUN
cana-1240	449	3	yields	yield	VERB
cana-1240	449	4	a	a	DET
cana-1240	449	5	thorough	thorough	ADJ
cana-1240	449	6	method	method	NOUN
cana-1240	449	7	of	of	ADP
cana-1240	449	8	feature	feature	NOUN
cana-1240	449	9	extraction	extraction	NOUN
cana-1240	449	10	,	,	PUNCT
cana-1240	449	11	which	which	PRON
cana-1240	449	12	raises	raise	VERB
cana-1240	449	13	detection	detection	NOUN
cana-1240	449	14	accuracy	accuracy	NOUN
cana-1240	449	15	overall	overall	ADV
cana-1240	449	16	.	.	PUNCT
cana-1240	450	1	the	the	DET
cana-1240	450	2	evaluation	evaluation	NOUN
cana-1240	450	3	metrics	metric	NOUN
cana-1240	450	4	demonstrate	demonstrate	VERB
cana-1240	450	5	the	the	DET
cana-1240	450	6	validity	validity	NOUN
cana-1240	450	7	of	of	ADP
cana-1240	450	8	the	the	DET
cana-1240	450	9	suggested	suggest	VERB
cana-1240	450	10	approach	approach	NOUN
cana-1240	450	11	,	,	PUNCT
cana-1240	450	12	with	with	ADP
cana-1240	450	13	a	a	DET
cana-1240	450	14	high	high	ADJ
cana-1240	450	15	accuracy	accuracy	NOUN
cana-1240	450	16	of	of	ADP
cana-1240	450	17	0.988	0.988	NUM
cana-1240	450	18	demonstrating	demonstrate	VERB
cana-1240	450	19	a	a	DET
cana-1240	450	20	potent	potent	ADJ
cana-1240	450	21	ability	ability	NOUN
cana-1240	450	22	to	to	PART
cana-1240	450	23	accurately	accurately	ADV
cana-1240	450	24	predict	predict	VERB
cana-1240	450	25	both	both	CCONJ
cana-1240	450	26	positive	positive	ADJ
cana-1240	450	27	and	and	CCONJ
cana-1240	450	28	negative	negative	ADJ
cana-1240	450	29	events	event	NOUN
cana-1240	450	30	.	.	PUNCT
cana-1240	451	1	low	low	PROPN
cana-1240	451	2	fnr	fnr	PROPN
cana-1240	451	3	and	and	CCONJ
cana-1240	451	4	fpr	fpr	NOUN
cana-1240	451	5	values	value	NOUN
cana-1240	451	6	emphasize	emphasize	VERB
cana-1240	451	7	how	how	SCONJ
cana-1240	451	8	well	well	ADV
cana-1240	451	9	the	the	DET
cana-1240	451	10	model	model	NOUN
cana-1240	451	11	can	can	AUX
cana-1240	451	12	reduce	reduce	VERB
cana-1240	451	13	errors	error	NOUN
cana-1240	451	14	,	,	PUNCT
cana-1240	451	15	which	which	PRON
cana-1240	451	16	further	far	ADV
cana-1240	451	17	supports	support	VERB
cana-1240	451	18	its	its	PRON
cana-1240	451	19	dependability	dependability	NOUN
cana-1240	451	20	.	.	PUNCT
cana-1240	452	1	the	the	DET
cana-1240	452	2	mcc	mcc	NOUN
cana-1240	452	3	of	of	ADP
cana-1240	452	4	0.954	0.954	NUM
cana-1240	452	5	indicates	indicate	VERB
cana-1240	452	6	the	the	DET
cana-1240	452	7	overall	overall	ADJ
cana-1240	452	8	performance	performance	NOUN
cana-1240	452	9	,	,	PUNCT
cana-1240	452	10	which	which	PRON
cana-1240	452	11	shows	show	VERB
cana-1240	452	12	how	how	SCONJ
cana-1240	452	13	reliable	reliable	ADJ
cana-1240	452	14	the	the	DET
cana-1240	452	15	proposed	propose	VERB
cana-1240	452	16	approach	approach	NOUN
cana-1240	452	17	is	be	AUX
cana-1240	452	18	at	at	ADP
cana-1240	452	19	offering	offer	VERB
cana-1240	452	20	a	a	DET
cana-1240	452	21	thorough	thorough	ADJ
cana-1240	452	22	assessment	assessment	NOUN
cana-1240	452	23	.	.	PUNCT
cana-1240	453	1	the	the	DET
cana-1240	453	2	new	new	ADJ
cana-1240	453	3	method	method	NOUN
cana-1240	453	4	continuously	continuously	ADV
cana-1240	453	5	outperforms	outperform	VERB
cana-1240	453	6	current	current	ADJ
cana-1240	453	7	methods	method	NOUN
cana-1240	453	8	,	,	PUNCT
cana-1240	453	9	which	which	PRON
cana-1240	453	10	is	be	AUX
cana-1240	453	11	significant	significant	ADJ
cana-1240	453	12	because	because	SCONJ
cana-1240	453	13	it	it	PRON
cana-1240	453	14	highlights	highlight	VERB
cana-1240	453	15	the	the	DET
cana-1240	453	16	potential	potential	NOUN
cana-1240	453	17	of	of	ADP
cana-1240	453	18	this	this	DET
cana-1240	453	19	approach	approach	NOUN
cana-1240	453	20	as	as	ADP
cana-1240	453	21	a	a	DET
cana-1240	453	22	useful	useful	ADJ
cana-1240	453	23	tool	tool	NOUN
cana-1240	453	24	for	for	ADP
cana-1240	453	25	lung	lung	NOUN
cana-1240	453	26	cancer	cancer	NOUN
cana-1240	453	27	detection	detection	NOUN
cana-1240	453	28	.	.	PUNCT
cana-1240	454	1	the	the	DET
cana-1240	454	2	outcome	outcome	NOUN
cana-1240	454	3	of	of	ADP
cana-1240	454	4	this	this	DET
cana-1240	454	5	work	work	NOUN
cana-1240	454	6	represents	represent	VERB
cana-1240	454	7	a	a	DET
cana-1240	454	8	major	major	ADJ
cana-1240	454	9	advancement	advancement	NOUN
cana-1240	454	10	in	in	ADP
cana-1240	454	11	the	the	DET
cana-1240	454	12	development	development	NOUN
cana-1240	454	13	of	of	ADP
cana-1240	454	14	more	more	ADV
cana-1240	454	15	precise	precise	ADJ
cana-1240	454	16	and	and	CCONJ
cana-1240	454	17	trustworthy	trustworthy	ADJ
cana-1240	454	18	diagnostic	diagnostic	ADJ
cana-1240	454	19	tools	tool	NOUN
cana-1240	454	20	,	,	PUNCT
cana-1240	454	21	which	which	PRON
cana-1240	454	22	will	will	AUX
cana-1240	454	23	ultimately	ultimately	ADV
cana-1240	454	24	lead	lead	VERB
cana-1240	454	25	to	to	ADP
cana-1240	454	26	better	well	ADV
cana-1240	454	27	patient	patient	ADJ
cana-1240	454	28	outcomes	outcome	NOUN
cana-1240	454	29	and	and	CCONJ
cana-1240	454	30	care	care	VERB
cana-1240	454	31	in	in	ADP
cana-1240	454	32	the	the	DET
cana-1240	454	33	fight	fight	NOUN
cana-1240	454	34	against	against	ADP
cana-1240	454	35	lung	lung	NOUN
cana-1240	454	36	cancer	cancer	NOUN
cana-1240	454	37	.	.	PUNCT
cana-1240	455	1	communications	communication	NOUN
cana-1240	455	2	on	on	ADP
cana-1240	455	3	applied	apply	VERB
cana-1240	455	4	nonlinear	nonlinear	ADJ
cana-1240	455	5	analysis	analysis	NOUN
cana-1240	455	6	issn	issn	NOUN
cana-1240	455	7	:	:	PUNCT
cana-1240	455	8	1074	1074	NUM
cana-1240	455	9	-	-	PUNCT
cana-1240	455	10	133x	133x	NUM
cana-1240	455	11	vol	vol	NOUN
cana-1240	455	12	31	31	NUM
cana-1240	455	13	no	no	NOUN
cana-1240	455	14	.	.	PUNCT
cana-1240	456	1	6s	6s	NUM
cana-1240	456	2	(	(	PUNCT
cana-1240	456	3	2024	2024	NUM
cana-1240	456	4	)	)	PUNCT
cana-1240	456	5	522	522	NUM
cana-1240	456	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1240	456	7	references	reference	NOUN
cana-1240	456	8	[	[	X
cana-1240	456	9	1	1	NUM
cana-1240	456	10	]	]	PUNCT
cana-1240	456	11	asuntha	asuntha	PROPN
cana-1240	456	12	,	,	PUNCT
cana-1240	456	13	a.	a.	NOUN
cana-1240	456	14	and	and	CCONJ
cana-1240	456	15	srinivasan	srinivasan	NOUN
cana-1240	456	16	,	,	PUNCT
cana-1240	456	17	a.	a.	NOUN
cana-1240	456	18	,	,	PUNCT
cana-1240	456	19	2020	2020	NUM
cana-1240	456	20	.	.	PUNCT
cana-1240	457	1	deep	deep	ADJ
cana-1240	457	2	learning	learning	NOUN
cana-1240	457	3	for	for	ADP
cana-1240	457	4	lung	lung	NOUN
cana-1240	457	5	cancer	cancer	NOUN
cana-1240	457	6	detection	detection	NOUN
cana-1240	457	7	and	and	CCONJ
cana-1240	457	8	classification	classification	NOUN
cana-1240	457	9	.	.	PUNCT
cana-1240	458	1	multimedia	multimedia	NOUN
cana-1240	458	2	tools	tool	NOUN
cana-1240	458	3	and	and	CCONJ
cana-1240	458	4	applications	application	NOUN
cana-1240	458	5	,	,	PUNCT
cana-1240	458	6	79	79	NUM
cana-1240	458	7	,	,	PUNCT
cana-1240	458	8	pp.7731	pp.7731	PROPN
cana-1240	458	9	-	-	PUNCT
cana-1240	458	10	7762	7762	NUM
cana-1240	458	11	.	.	PUNCT
cana-1240	459	1	[	[	X
cana-1240	459	2	2	2	NUM
cana-1240	459	3	]	]	PUNCT
cana-1240	459	4	bray	bray	NOUN
cana-1240	459	5	,	,	PUNCT
cana-1240	459	6	f.	f.	PROPN
cana-1240	459	7	,	,	PUNCT
cana-1240	459	8	ferlay	ferlay	PROPN
cana-1240	459	9	,	,	PUNCT
cana-1240	459	10	j.	j.	PROPN
cana-1240	459	11	,	,	PUNCT
cana-1240	459	12	soerjomataram	soerjomataram	PROPN
cana-1240	459	13	,	,	PUNCT
cana-1240	459	14	i.	i.	PROPN
cana-1240	459	15	,	,	PUNCT
cana-1240	459	16	siegel	siegel	PROPN
cana-1240	459	17	,	,	PUNCT
cana-1240	459	18	r.l	r.l	PROPN
cana-1240	459	19	.	.	PROPN
cana-1240	459	20	,	,	PUNCT
cana-1240	459	21	torre	torre	PROPN
cana-1240	459	22	,	,	PUNCT
cana-1240	459	23	l.a	l.a	PROPN
cana-1240	459	24	.	.	PROPN
cana-1240	459	25	and	and	CCONJ
cana-1240	459	26	jemal	jemal	ADJ
cana-1240	459	27	,	,	PUNCT
cana-1240	459	28	a.	a.	NOUN
cana-1240	459	29	,	,	PUNCT
cana-1240	459	30	2018	2018	NUM
cana-1240	459	31	.	.	PUNCT
cana-1240	460	1	global	global	ADJ
cana-1240	460	2	cancer	cancer	NOUN
cana-1240	460	3	statistics	statistic	NOUN
cana-1240	460	4	2018	2018	NUM
cana-1240	460	5	:	:	PUNCT
cana-1240	460	6	globocan	globocan	PROPN
cana-1240	460	7	estimates	estimate	NOUN
cana-1240	460	8	of	of	ADP
cana-1240	460	9	incidence	incidence	NOUN
cana-1240	460	10	and	and	CCONJ
cana-1240	460	11	mortality	mortality	NOUN
cana-1240	460	12	worldwide	worldwide	ADV
cana-1240	460	13	for	for	ADP
cana-1240	460	14	36	36	NUM
cana-1240	460	15	cancers	cancer	NOUN
cana-1240	460	16	in	in	ADP
cana-1240	460	17	185	185	NUM
cana-1240	460	18	countries	country	NOUN
cana-1240	460	19	.	.	PUNCT
cana-1240	461	1	ca	can	AUX
cana-1240	461	2	:	:	PUNCT
cana-1240	461	3	a	a	DET
cana-1240	461	4	cancer	cancer	NOUN
cana-1240	461	5	journal	journal	NOUN
cana-1240	461	6	for	for	ADP
cana-1240	461	7	clinicians	clinician	NOUN
cana-1240	461	8	,	,	PUNCT
cana-1240	461	9	68(6	68(6	NOUN
cana-1240	461	10	)	)	PUNCT
cana-1240	461	11	,	,	PUNCT
cana-1240	461	12	pp.394	pp.394	NOUN
cana-1240	461	13	-	-	NOUN
cana-1240	461	14	424	424	NUM
cana-1240	461	15	.	.	PUNCT
cana-1240	462	1	[	[	X
cana-1240	462	2	3	3	NUM
cana-1240	462	3	]	]	X
cana-1240	462	4	zhang	zhang	PROPN
cana-1240	462	5	,	,	PUNCT
cana-1240	462	6	c.	c.	PROPN
cana-1240	462	7	,	,	PUNCT
cana-1240	462	8	sun	sun	NOUN
cana-1240	462	9	,	,	PUNCT
cana-1240	462	10	x.	x.	PROPN
cana-1240	462	11	,	,	PUNCT
cana-1240	462	12	dang	dang	PROPN
cana-1240	462	13	,	,	PUNCT
cana-1240	462	14	k.	k.	PROPN
cana-1240	462	15	,	,	PUNCT
cana-1240	462	16	li	li	PROPN
cana-1240	462	17	,	,	PUNCT
cana-1240	462	18	k.	k.	PROPN
cana-1240	462	19	,	,	PUNCT
cana-1240	462	20	guo	guo	PROPN
cana-1240	462	21	,	,	PUNCT
cana-1240	462	22	x.w	x.w	PROPN
cana-1240	462	23	.	.	PROPN
cana-1240	462	24	,	,	PUNCT
cana-1240	462	25	chang	chang	PROPN
cana-1240	462	26	,	,	PUNCT
cana-1240	462	27	j.	j.	PROPN
cana-1240	462	28	,	,	PUNCT
cana-1240	462	29	yu	yu	PROPN
cana-1240	462	30	,	,	PUNCT
cana-1240	462	31	z.q	z.q	PROPN
cana-1240	462	32	.	.	PROPN
cana-1240	462	33	,	,	PUNCT
cana-1240	462	34	huang	huang	PROPN
cana-1240	462	35	,	,	PUNCT
cana-1240	462	36	f.y	f.y	PROPN
cana-1240	462	37	.	.	PROPN
cana-1240	462	38	,	,	PUNCT
cana-1240	462	39	wu	wu	PROPN
cana-1240	462	40	,	,	PUNCT
cana-1240	462	41	y.s	y.s	PROPN
cana-1240	462	42	.	.	PROPN
cana-1240	462	43	,	,	PUNCT
cana-1240	462	44	liang	liang	PROPN
cana-1240	462	45	,	,	PUNCT
cana-1240	462	46	z.	z.	PROPN
cana-1240	462	47	and	and	CCONJ
cana-1240	462	48	liu	liu	PROPN
cana-1240	462	49	,	,	PUNCT
cana-1240	462	50	z.y	z.y	PROPN
cana-1240	462	51	.	.	PROPN
cana-1240	462	52	,	,	PUNCT
cana-1240	462	53	2019	2019	NUM
cana-1240	462	54	.	.	PUNCT
cana-1240	463	1	toward	toward	ADP
cana-1240	463	2	an	an	DET
cana-1240	463	3	expert	expert	ADJ
cana-1240	463	4	level	level	NOUN
cana-1240	463	5	of	of	ADP
cana-1240	463	6	lung	lung	NOUN
cana-1240	463	7	cancer	cancer	NOUN
cana-1240	463	8	detection	detection	NOUN
cana-1240	463	9	and	and	CCONJ
cana-1240	463	10	classification	classification	NOUN
cana-1240	463	11	using	use	VERB
cana-1240	463	12	a	a	DET
cana-1240	463	13	deep	deep	ADJ
cana-1240	463	14	convolutional	convolutional	ADJ
cana-1240	463	15	neural	neural	ADJ
cana-1240	463	16	network	network	NOUN
cana-1240	463	17	.	.	PUNCT
cana-1240	464	1	the	the	DET
cana-1240	464	2	oncologist	oncologist	NOUN
cana-1240	464	3	,	,	PUNCT
cana-1240	464	4	24(9	24(9	NUM
cana-1240	464	5	)	)	PUNCT
cana-1240	464	6	,	,	PUNCT
cana-1240	464	7	pp.1159	pp.1159	PROPN
cana-1240	464	8	-	-	SYM
cana-1240	464	9	1165	1165	NUM
cana-1240	464	10	.	.	PUNCT
cana-1240	465	1	[	[	X
cana-1240	465	2	4	4	X
cana-1240	465	3	]	]	PUNCT
cana-1240	465	4	günaydin	günaydin	NOUN
cana-1240	465	5	,	,	PUNCT
cana-1240	465	6	ö.	ö.	NOUN
cana-1240	465	7	,	,	PUNCT
cana-1240	465	8	günay	günay	PROPN
cana-1240	465	9	,	,	PUNCT
cana-1240	465	10	m.	m.	NOUN
cana-1240	465	11	and	and	CCONJ
cana-1240	465	12	şengel	şengel	PROPN
cana-1240	465	13	,	,	PUNCT
cana-1240	465	14	ö.	ö.	NOUN
cana-1240	465	15	,	,	PUNCT
cana-1240	465	16	2019	2019	NUM
cana-1240	465	17	,	,	PUNCT
cana-1240	465	18	april	april	PROPN
cana-1240	465	19	.	.	PUNCT
cana-1240	466	1	comparison	comparison	NOUN
cana-1240	466	2	of	of	ADP
cana-1240	466	3	lung	lung	NOUN
cana-1240	466	4	cancer	cancer	NOUN
cana-1240	466	5	detection	detection	NOUN
cana-1240	466	6	algorithms	algorithm	NOUN
cana-1240	466	7	.	.	PUNCT
cana-1240	467	1	in	in	ADP
cana-1240	467	2	2019	2019	NUM
cana-1240	467	3	scientific	scientific	ADJ
cana-1240	467	4	meeting	meeting	NOUN
cana-1240	467	5	on	on	ADP
cana-1240	467	6	electrical	electrical	ADJ
cana-1240	467	7	-	-	PUNCT
cana-1240	467	8	electronics	electronic	NOUN
cana-1240	467	9	&	&	CCONJ
cana-1240	467	10	biomedical	biomedical	ADJ
cana-1240	467	11	engineering	engineering	NOUN
cana-1240	467	12	and	and	CCONJ
cana-1240	467	13	computer	computer	NOUN
cana-1240	467	14	science	science	NOUN
cana-1240	467	15	(	(	PUNCT
cana-1240	467	16	ebbt	ebbt	PROPN
cana-1240	467	17	)	)	PUNCT
cana-1240	467	18	(	(	PUNCT
cana-1240	467	19	pp	pp	X
cana-1240	467	20	.	.	PUNCT
cana-1240	468	1	1	1	NUM
cana-1240	468	2	-	-	SYM
cana-1240	468	3	4	4	NUM
cana-1240	468	4	)	)	PUNCT
cana-1240	468	5	.	.	PUNCT
cana-1240	469	1	ieee	ieee	NOUN
cana-1240	469	2	.	.	PUNCT
cana-1240	470	1	[	[	X
cana-1240	470	2	5	5	NUM
cana-1240	470	3	]	]	X
cana-1240	470	4	manoharan	manoharan	NOUN
cana-1240	470	5	,	,	PUNCT
cana-1240	470	6	d.s	d.s	PROPN
cana-1240	470	7	.	.	PROPN
cana-1240	470	8	and	and	CCONJ
cana-1240	470	9	sathesh	sathesh	NOUN
cana-1240	470	10	,	,	PUNCT
cana-1240	470	11	a.	a.	NOUN
cana-1240	470	12	,	,	PUNCT
cana-1240	470	13	2020	2020	NUM
cana-1240	470	14	.	.	PUNCT
cana-1240	471	1	early	early	ADJ
cana-1240	471	2	diagnosis	diagnosis	NOUN
cana-1240	471	3	of	of	ADP
cana-1240	471	4	lung	lung	NOUN
cana-1240	471	5	cancer	cancer	NOUN
cana-1240	471	6	with	with	ADP
cana-1240	471	7	probability	probability	NOUN
cana-1240	471	8	of	of	ADP
cana-1240	471	9	malignancy	malignancy	NOUN
cana-1240	471	10	calculation	calculation	NOUN
cana-1240	471	11	and	and	CCONJ
cana-1240	471	12	automatic	automatic	ADJ
cana-1240	471	13	segmentation	segmentation	NOUN
cana-1240	471	14	of	of	ADP
cana-1240	471	15	lung	lung	PROPN
cana-1240	471	16	ct	ct	PROPN
cana-1240	471	17	scan	scan	NOUN
cana-1240	471	18	images	image	NOUN
cana-1240	471	19	.	.	PUNCT
cana-1240	472	1	journal	journal	NOUN
cana-1240	472	2	of	of	ADP
cana-1240	472	3	innovative	innovative	ADJ
cana-1240	472	4	image	image	NOUN
cana-1240	472	5	processing	processing	NOUN
cana-1240	472	6	,	,	PUNCT
cana-1240	472	7	2(4	2(4	NUM
cana-1240	472	8	)	)	PUNCT
cana-1240	472	9	,	,	PUNCT
cana-1240	472	10	pp.175	pp.175	PROPN
cana-1240	472	11	-	-	PUNCT
cana-1240	472	12	186	186	NUM
cana-1240	472	13	.	.	PUNCT
cana-1240	473	1	[	[	X
cana-1240	473	2	6	6	NUM
cana-1240	473	3	]	]	X
cana-1240	473	4	vas	vas	X
cana-1240	473	5	,	,	PUNCT
cana-1240	473	6	m.	m.	NOUN
cana-1240	473	7	and	and	CCONJ
cana-1240	473	8	dessai	dessai	PROPN
cana-1240	473	9	,	,	PUNCT
cana-1240	473	10	a.	a.	NOUN
cana-1240	473	11	,	,	PUNCT
cana-1240	473	12	2017	2017	NUM
cana-1240	473	13	,	,	PUNCT
cana-1240	473	14	august	august	PROPN
cana-1240	473	15	.	.	PUNCT
cana-1240	474	1	lung	lung	NOUN
cana-1240	474	2	cancer	cancer	NOUN
cana-1240	474	3	detection	detection	NOUN
cana-1240	474	4	system	system	NOUN
cana-1240	474	5	using	use	VERB
cana-1240	474	6	lung	lung	NOUN
cana-1240	474	7	ct	ct	NUM
cana-1240	474	8	image	image	NOUN
cana-1240	474	9	processing	processing	NOUN
cana-1240	474	10	.	.	PUNCT
cana-1240	475	1	in	in	ADP
cana-1240	475	2	2017	2017	NUM
cana-1240	475	3	international	international	ADJ
cana-1240	475	4	conference	conference	NOUN
cana-1240	475	5	on	on	ADP
cana-1240	475	6	computing	computing	NOUN
cana-1240	475	7	,	,	PUNCT
cana-1240	475	8	communication	communication	NOUN
cana-1240	475	9	,	,	PUNCT
cana-1240	475	10	control	control	NOUN
cana-1240	475	11	and	and	CCONJ
cana-1240	475	12	automation	automation	NOUN
cana-1240	475	13	(	(	PUNCT
cana-1240	475	14	iccubea	iccubea	NOUN
cana-1240	475	15	)	)	PUNCT
cana-1240	475	16	(	(	PUNCT
cana-1240	475	17	pp	pp	X
cana-1240	475	18	.	.	PUNCT
cana-1240	476	1	1	1	NUM
cana-1240	476	2	-	-	SYM
cana-1240	476	3	5	5	NUM
cana-1240	476	4	)	)	PUNCT
cana-1240	476	5	.	.	PUNCT
cana-1240	477	1	ieee	ieee	NOUN
cana-1240	477	2	.	.	PUNCT
cana-1240	478	1	[	[	X
cana-1240	478	2	7	7	X
cana-1240	478	3	]	]	X
cana-1240	478	4	ohno	ohno	NOUN
cana-1240	478	5	,	,	PUNCT
cana-1240	478	6	y.	y.	PROPN
cana-1240	478	7	,	,	PUNCT
cana-1240	478	8	yoshikawa	yoshikawa	PROPN
cana-1240	478	9	,	,	PUNCT
cana-1240	478	10	t.	t.	PROPN
cana-1240	478	11	,	,	PUNCT
cana-1240	478	12	takenaka	takenaka	ADV
cana-1240	478	13	,	,	PUNCT
cana-1240	478	14	d.	d.	PROPN
cana-1240	478	15	,	,	PUNCT
cana-1240	478	16	koyama	koyama	PROPN
cana-1240	478	17	,	,	PUNCT
cana-1240	478	18	h.	h.	PROPN
cana-1240	478	19	,	,	PUNCT
cana-1240	478	20	aoyagi	aoyagi	PROPN
cana-1240	478	21	,	,	PUNCT
cana-1240	478	22	k.	k.	PROPN
cana-1240	478	23	,	,	PUNCT
cana-1240	478	24	yui	yui	PROPN
cana-1240	478	25	,	,	PUNCT
cana-1240	478	26	m.	m.	NOUN
cana-1240	478	27	,	,	PUNCT
cana-1240	478	28	oshima	oshima	PROPN
cana-1240	478	29	,	,	PUNCT
cana-1240	478	30	y.	y.	PROPN
cana-1240	478	31	,	,	PUNCT
cana-1240	478	32	hamabuchi	hamabuchi	PROPN
cana-1240	478	33	,	,	PUNCT
cana-1240	478	34	n.	n.	PROPN
cana-1240	478	35	,	,	PUNCT
cana-1240	478	36	tanaka	tanaka	PROPN
cana-1240	478	37	,	,	PUNCT
cana-1240	478	38	y.	y.	PROPN
cana-1240	478	39	,	,	PUNCT
cana-1240	478	40	shigemura	shigemura	PROPN
cana-1240	478	41	,	,	PUNCT
cana-1240	478	42	c.	c.	PROPN
cana-1240	478	43	and	and	CCONJ
cana-1240	478	44	oota	oota	PROPN
cana-1240	478	45	,	,	PUNCT
cana-1240	478	46	s.	s.	PROPN
cana-1240	478	47	,	,	PUNCT
cana-1240	478	48	2022	2022	NUM
cana-1240	478	49	.	.	PUNCT
cana-1240	479	1	small	small	ADJ
cana-1240	479	2	cell	cell	NOUN
cana-1240	479	3	lung	lung	NOUN
cana-1240	479	4	cancer	cancer	NOUN
cana-1240	479	5	staging	staging	NOUN
cana-1240	479	6	:	:	PUNCT
cana-1240	479	7	prospective	prospective	ADJ
cana-1240	479	8	comparison	comparison	NOUN
cana-1240	479	9	of	of	ADP
cana-1240	479	10	conventional	conventional	ADJ
cana-1240	479	11	staging	staging	NOUN
cana-1240	479	12	tests	test	NOUN
cana-1240	479	13	,	,	PUNCT
cana-1240	479	14	fdg	fdg	PROPN
cana-1240	479	15	pet	pet	PROPN
cana-1240	479	16	/	/	SYM
cana-1240	479	17	ct	ct	PROPN
cana-1240	479	18	,	,	PUNCT
cana-1240	479	19	whole	whole	ADJ
cana-1240	479	20	-	-	PUNCT
cana-1240	479	21	body	body	NOUN
cana-1240	479	22	mri	mri	NOUN
cana-1240	479	23	,	,	PUNCT
cana-1240	479	24	and	and	CCONJ
cana-1240	479	25	coregistered	coregistere	VERB
cana-1240	479	26	fdg	fdg	PROPN
cana-1240	479	27	pet	pet	PROPN
cana-1240	479	28	/	/	SYM
cana-1240	479	29	mri	mri	NOUN
cana-1240	479	30	.	.	PUNCT
cana-1240	480	1	american	american	PROPN
cana-1240	480	2	journal	journal	PROPN
cana-1240	480	3	of	of	ADP
cana-1240	480	4	roentgenology	roentgenology	NOUN
cana-1240	480	5	,	,	PUNCT
cana-1240	480	6	218(5	218(5	NUM
cana-1240	480	7	)	)	PUNCT
cana-1240	480	8	,	,	PUNCT
cana-1240	480	9	pp.899	pp.899	NOUN
cana-1240	480	10	-	-	PUNCT
cana-1240	480	11	908	908	NUM
cana-1240	480	12	.	.	PUNCT
cana-1240	481	1	[	[	X
cana-1240	481	2	8	8	NUM
cana-1240	481	3	]	]	PUNCT
cana-1240	481	4	akter	akter	NOUN
cana-1240	481	5	,	,	PUNCT
cana-1240	481	6	o.	o.	PROPN
cana-1240	481	7	,	,	PUNCT
cana-1240	481	8	moni	moni	PROPN
cana-1240	481	9	,	,	PUNCT
cana-1240	481	10	m.a	m.a	PROPN
cana-1240	481	11	.	.	PROPN
cana-1240	481	12	,	,	PUNCT
cana-1240	481	13	islam	islam	PROPN
cana-1240	481	14	,	,	PUNCT
cana-1240	481	15	m.m	m.m	PROPN
cana-1240	481	16	.	.	PROPN
cana-1240	481	17	,	,	PUNCT
cana-1240	481	18	quinn	quinn	PROPN
cana-1240	481	19	,	,	PUNCT
cana-1240	481	20	j.m	j.m	PROPN
cana-1240	481	21	.	.	PROPN
cana-1240	481	22	and	and	CCONJ
cana-1240	481	23	kamal	kamal	PROPN
cana-1240	481	24	,	,	PUNCT
cana-1240	481	25	a.h.m	a.h.m	NOUN
cana-1240	481	26	.	.	PROPN
cana-1240	481	27	,	,	PUNCT
cana-1240	481	28	2021	2021	NUM
cana-1240	481	29	.	.	PUNCT
cana-1240	482	1	lung	lung	NOUN
cana-1240	482	2	cancer	cancer	NOUN
cana-1240	482	3	detection	detection	NOUN
cana-1240	482	4	using	use	VERB
cana-1240	482	5	enhanced	enhanced	ADJ
cana-1240	482	6	segmentation	segmentation	NOUN
cana-1240	482	7	accuracy	accuracy	NOUN
cana-1240	482	8	.	.	PUNCT
cana-1240	483	1	applied	apply	VERB
cana-1240	483	2	intelligence	intelligence	NOUN
cana-1240	483	3	,	,	PUNCT
cana-1240	483	4	51	51	NUM
cana-1240	483	5	,	,	PUNCT
cana-1240	483	6	pp.3391	pp.3391	PROPN
cana-1240	483	7	-	-	PUNCT
cana-1240	483	8	3404	3404	NUM
cana-1240	483	9	.	.	PUNCT
cana-1240	484	1	[	[	X
cana-1240	484	2	9	9	NUM
cana-1240	484	3	]	]	PUNCT
cana-1240	484	4	ahmed	ahmed	PROPN
cana-1240	484	5	,	,	PUNCT
cana-1240	484	6	u.	u.	PROPN
cana-1240	484	7	,	,	PUNCT
cana-1240	484	8	rasool	rasool	PROPN
cana-1240	484	9	,	,	PUNCT
cana-1240	484	10	g.	g.	PROPN
cana-1240	484	11	,	,	PUNCT
cana-1240	484	12	zafar	zafar	PROPN
cana-1240	484	13	,	,	PUNCT
cana-1240	484	14	s.	s.	PROPN
cana-1240	484	15	and	and	CCONJ
cana-1240	484	16	maqbool	maqbool	PROPN
cana-1240	484	17	,	,	PUNCT
cana-1240	484	18	h.f	h.f	PROPN
cana-1240	484	19	.	.	PROPN
cana-1240	484	20	,	,	PUNCT
cana-1240	484	21	2018	2018	NUM
cana-1240	484	22	,	,	PUNCT
cana-1240	484	23	november	november	PROPN
cana-1240	484	24	.	.	PUNCT
cana-1240	485	1	fuzzy	fuzzy	ADJ
cana-1240	485	2	rule	rule	NOUN
cana-1240	485	3	based	base	VERB
cana-1240	485	4	diagnostic	diagnostic	ADJ
cana-1240	485	5	system	system	NOUN
cana-1240	485	6	to	to	PART
cana-1240	485	7	detect	detect	VERB
cana-1240	485	8	the	the	DET
cana-1240	485	9	lung	lung	NOUN
cana-1240	485	10	cancer	cancer	NOUN
cana-1240	485	11	.	.	PUNCT
cana-1240	486	1	in	in	ADP
cana-1240	486	2	2018	2018	NUM
cana-1240	486	3	international	international	ADJ
cana-1240	486	4	conference	conference	NOUN
cana-1240	486	5	on	on	ADP
cana-1240	486	6	computing	computing	NOUN
cana-1240	486	7	,	,	PUNCT
cana-1240	486	8	electronic	electronic	ADJ
cana-1240	486	9	and	and	CCONJ
cana-1240	486	10	electrical	electrical	ADJ
cana-1240	486	11	engineering	engineering	NOUN
cana-1240	486	12	(	(	PUNCT
cana-1240	486	13	ice	ice	NOUN
cana-1240	486	14	cube	cube	NOUN
cana-1240	486	15	)	)	PUNCT
cana-1240	486	16	(	(	PUNCT
cana-1240	486	17	pp	pp	X
cana-1240	486	18	.	.	PUNCT
cana-1240	487	1	1	1	NUM
cana-1240	487	2	-	-	SYM
cana-1240	487	3	6	6	NUM
cana-1240	487	4	)	)	PUNCT
cana-1240	487	5	.	.	PUNCT
cana-1240	488	1	ieee	ieee	NOUN
cana-1240	488	2	.	.	PUNCT
cana-1240	489	1	[	[	X
cana-1240	489	2	10	10	NUM
cana-1240	489	3	]	]	X
cana-1240	489	4	yamunadevi	yamunadevi	PROPN
cana-1240	489	5	,	,	PUNCT
cana-1240	489	6	m.m	m.m	PROPN
cana-1240	489	7	.	.	PROPN
cana-1240	489	8	and	and	CCONJ
cana-1240	489	9	ranjani	ranjani	PROPN
cana-1240	489	10	,	,	PUNCT
cana-1240	489	11	s.s	s.s	PROPN
cana-1240	489	12	.	.	PROPN
cana-1240	489	13	,	,	PUNCT
cana-1240	489	14	2021	2021	NUM
cana-1240	489	15	.	.	PUNCT
cana-1240	489	16	efficient	efficient	ADJ
cana-1240	489	17	segmentation	segmentation	NOUN
cana-1240	489	18	of	of	ADP
cana-1240	489	19	the	the	DET
cana-1240	489	20	lung	lung	NOUN
cana-1240	489	21	carcinoma	carcinoma	NOUN
cana-1240	489	22	by	by	ADP
cana-1240	489	23	adaptive	adaptive	ADJ
cana-1240	489	24	fuzzy	fuzzy	ADJ
cana-1240	489	25	–	–	PUNCT
cana-1240	489	26	glcm	glcm	PROPN
cana-1240	489	27	(	(	PUNCT
cana-1240	489	28	af	af	NOUN
cana-1240	489	29	-	-	NOUN
cana-1240	489	30	glcm	glcm	NOUN
cana-1240	489	31	)	)	PUNCT
cana-1240	489	32	with	with	ADP
cana-1240	489	33	deep	deep	ADJ
cana-1240	489	34	learning	learning	NOUN
cana-1240	489	35	based	base	VERB
cana-1240	489	36	classification	classification	NOUN
cana-1240	489	37	.	.	PUNCT
cana-1240	490	1	journal	journal	PROPN
cana-1240	490	2	of	of	ADP
cana-1240	490	3	ambient	ambient	ADJ
cana-1240	490	4	intelligence	intelligence	NOUN
cana-1240	490	5	and	and	CCONJ
cana-1240	490	6	humanized	humanize	VERB
cana-1240	490	7	computing	computing	NOUN
cana-1240	490	8	,	,	PUNCT
cana-1240	490	9	12	12	NUM
cana-1240	490	10	,	,	PUNCT
cana-1240	490	11	pp.4715	pp.4715	PROPN
cana-1240	490	12	-	-	PUNCT
cana-1240	490	13	4725	4725	NUM
cana-1240	490	14	.	.	PUNCT
cana-1240	491	1	[	[	X
cana-1240	491	2	11	11	NUM
cana-1240	491	3	]	]	PUNCT
cana-1240	491	4	asuntha	asuntha	PROPN
cana-1240	491	5	,	,	PUNCT
cana-1240	491	6	a.	a.	NOUN
cana-1240	491	7	and	and	CCONJ
cana-1240	491	8	srinivasan	srinivasan	NOUN
cana-1240	491	9	,	,	PUNCT
cana-1240	491	10	a.	a.	NOUN
cana-1240	491	11	,	,	PUNCT
cana-1240	491	12	2020	2020	NUM
cana-1240	491	13	.	.	PUNCT
cana-1240	492	1	deep	deep	ADJ
cana-1240	492	2	learning	learning	NOUN
cana-1240	492	3	for	for	ADP
cana-1240	492	4	lung	lung	NOUN
cana-1240	492	5	cancer	cancer	NOUN
cana-1240	492	6	detection	detection	NOUN
cana-1240	492	7	and	and	CCONJ
cana-1240	492	8	classification	classification	NOUN
cana-1240	492	9	.	.	PUNCT
cana-1240	493	1	multimedia	multimedia	NOUN
cana-1240	493	2	tools	tool	NOUN
cana-1240	493	3	and	and	CCONJ
cana-1240	493	4	applications	application	NOUN
cana-1240	493	5	,	,	PUNCT
cana-1240	493	6	79	79	NUM
cana-1240	493	7	,	,	PUNCT
cana-1240	493	8	pp.7731	pp.7731	PROPN
cana-1240	493	9	-	-	PUNCT
cana-1240	493	10	7762	7762	NUM
cana-1240	493	11	.	.	PUNCT
cana-1240	494	1	[	[	X
cana-1240	494	2	12	12	NUM
cana-1240	494	3	]	]	X
cana-1240	494	4	jasmine	jasmine	NOUN
cana-1240	494	5	pemeena	pemeena	ADJ
cana-1240	494	6	priyadarsini	priyadarsini	NOUN
cana-1240	494	7	,	,	PUNCT
cana-1240	494	8	m.	m.	NOUN
cana-1240	494	9	,	,	PUNCT
cana-1240	494	10	rajini	rajini	PROPN
cana-1240	494	11	,	,	PUNCT
cana-1240	494	12	g.k	g.k	PROPN
cana-1240	494	13	.	.	PROPN
cana-1240	494	14	,	,	PUNCT
cana-1240	494	15	hariharan	hariharan	PROPN
cana-1240	494	16	,	,	PUNCT
cana-1240	494	17	k.	k.	PROPN
cana-1240	494	18	,	,	PUNCT
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cana-1240	494	20	raj	raj	PROPN
cana-1240	494	21	,	,	PUNCT
cana-1240	494	22	k.	k.	PROPN
cana-1240	494	23	,	,	PUNCT
cana-1240	494	24	bhargav	bhargav	PROPN
cana-1240	494	25	ram	ram	PROPN
cana-1240	494	26	,	,	PUNCT
cana-1240	494	27	k.	k.	PROPN
cana-1240	494	28	,	,	PUNCT
cana-1240	494	29	indragandhi	indragandhi	ADJ
cana-1240	494	30	,	,	PUNCT
cana-1240	494	31	v.	v.	ADV
cana-1240	494	32	,	,	PUNCT
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cana-1240	494	34	,	,	PUNCT
cana-1240	494	35	v.	v.	PROPN
cana-1240	494	36	and	and	CCONJ
cana-1240	494	37	pandya	pandya	PROPN
cana-1240	494	38	,	,	PUNCT
cana-1240	494	39	s.	s.	PROPN
cana-1240	494	40	,	,	PUNCT
cana-1240	494	41	2023	2023	NUM
cana-1240	494	42	.	.	PUNCT
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cana-1240	495	2	diseases	disease	NOUN
cana-1240	495	3	detection	detection	NOUN
cana-1240	495	4	using	use	VERB
cana-1240	495	5	various	various	ADJ
cana-1240	495	6	deep	deep	ADJ
cana-1240	495	7	learning	learning	NOUN
cana-1240	495	8	algorithms	algorithm	NOUN
cana-1240	495	9	.	.	PUNCT
cana-1240	496	1	journal	journal	PROPN
cana-1240	496	2	of	of	ADP
cana-1240	496	3	healthcare	healthcare	PROPN
cana-1240	496	4	engineering	engineering	NOUN
cana-1240	496	5	,	,	PUNCT
cana-1240	496	6	2023	2023	NUM
cana-1240	496	7	.	.	PUNCT
cana-1240	497	1	[	[	X
cana-1240	497	2	13	13	NUM
cana-1240	497	3	]	]	X
cana-1240	497	4	dafni	dafni	NOUN
cana-1240	497	5	rose	rise	VERB
cana-1240	497	6	,	,	PUNCT
cana-1240	497	7	j.	j.	PROPN
cana-1240	497	8	,	,	PUNCT
cana-1240	497	9	jaspin	jaspin	NOUN
cana-1240	497	10	,	,	PUNCT
cana-1240	497	11	k.	k.	PROPN
cana-1240	497	12	and	and	CCONJ
cana-1240	497	13	vijayakumar	vijayakumar	PROPN
cana-1240	497	14	,	,	PUNCT
cana-1240	497	15	k.	k.	PROPN
cana-1240	497	16	,	,	PUNCT
cana-1240	497	17	2021	2021	NUM
cana-1240	497	18	.	.	PUNCT
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cana-1240	498	2	cancer	cancer	NOUN
cana-1240	498	3	diagnosis	diagnosis	NOUN
cana-1240	498	4	based	base	VERB
cana-1240	498	5	on	on	ADP
cana-1240	498	6	image	image	NOUN
cana-1240	498	7	fusion	fusion	NOUN
cana-1240	498	8	and	and	CCONJ
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cana-1240	498	11	ct	ct	PROPN
cana-1240	498	12	and	and	CCONJ
cana-1240	498	13	pet	pet	ADJ
cana-1240	498	14	image	image	NOUN
cana-1240	498	15	.	.	PUNCT
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cana-1240	499	2	and	and	CCONJ
cana-1240	499	3	image	image	NOUN
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cana-1240	499	5	techniques	technique	NOUN
cana-1240	499	6	for	for	ADP
cana-1240	499	7	the	the	DET
cana-1240	499	8	development	development	NOUN
cana-1240	499	9	of	of	ADP
cana-1240	499	10	intelligent	intelligent	ADJ
cana-1240	499	11	healthcare	healthcare	NOUN
cana-1240	499	12	systems	system	NOUN
cana-1240	499	13	,	,	PUNCT
cana-1240	499	14	pp.67	pp.67	NOUN
cana-1240	499	15	-	-	PUNCT
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cana-1240	499	17	.	.	PUNCT
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cana-1240	500	2	14	14	NUM
cana-1240	500	3	]	]	X
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cana-1240	500	5	,	,	PUNCT
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cana-1240	500	10	s.	s.	PROPN
cana-1240	500	11	,	,	PUNCT
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cana-1240	500	13	,	,	PUNCT
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cana-1240	500	15	.	.	PUNCT
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cana-1240	501	4	–	–	PUNCT
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cana-1240	501	8	perspective	perspective	NOUN
cana-1240	501	9	.	.	PUNCT
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cana-1240	502	4	conference	conference	NOUN
cana-1240	502	5	on	on	ADP
cana-1240	502	6	computer	computer	NOUN
cana-1240	502	7	science	science	NOUN
cana-1240	502	8	,	,	PUNCT
cana-1240	502	9	engineering	engineering	NOUN
cana-1240	502	10	and	and	CCONJ
cana-1240	502	11	applications	application	NOUN
cana-1240	502	12	(	(	PUNCT
cana-1240	502	13	iccsea	iccsea	NOUN
cana-1240	502	14	)	)	PUNCT
cana-1240	502	15	(	(	PUNCT
cana-1240	502	16	pp	pp	X
cana-1240	502	17	.	.	PUNCT
cana-1240	503	1	1	1	NUM
cana-1240	503	2	-	-	SYM
cana-1240	503	3	5	5	NUM
cana-1240	503	4	)	)	PUNCT
cana-1240	503	5	.	.	PUNCT
cana-1240	504	1	ieee	ieee	NOUN
cana-1240	504	2	.	.	PUNCT
cana-1240	505	1	[	[	X
cana-1240	505	2	15	15	NUM
cana-1240	505	3	]	]	X
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cana-1240	505	5	,	,	PUNCT
cana-1240	505	6	f.v	f.v	PROPN
cana-1240	505	7	.	.	PROPN
cana-1240	505	8	,	,	PUNCT
cana-1240	505	9	zarandi	zarandi	PROPN
cana-1240	505	10	,	,	PUNCT
cana-1240	505	11	m.f	m.f	PROPN
cana-1240	505	12	.	.	PROPN
cana-1240	505	13	and	and	CCONJ
cana-1240	505	14	ahmadi	ahmadi	PROPN
cana-1240	505	15	,	,	PUNCT
cana-1240	505	16	a.	a.	NOUN
cana-1240	505	17	,	,	PUNCT
cana-1240	505	18	2015	2015	NUM
cana-1240	505	19	,	,	PUNCT
cana-1240	505	20	august	august	PROPN
cana-1240	505	21	.	.	PUNCT
cana-1240	505	22	fuzzy	fuzzy	ADJ
cana-1240	505	23	rule	rule	NOUN
cana-1240	505	24	based	base	VERB
cana-1240	505	25	expert	expert	NOUN
cana-1240	505	26	system	system	NOUN
cana-1240	505	27	for	for	ADP
cana-1240	505	28	diagnosis	diagnosis	NOUN
cana-1240	505	29	of	of	ADP
cana-1240	505	30	lung	lung	NOUN
cana-1240	505	31	cancer	cancer	NOUN
cana-1240	505	32	.	.	PUNCT
cana-1240	506	1	in	in	ADP
cana-1240	506	2	2015	2015	NUM
cana-1240	506	3	annual	annual	ADJ
cana-1240	506	4	conference	conference	NOUN
cana-1240	506	5	of	of	ADP
cana-1240	506	6	the	the	DET
cana-1240	506	7	north	north	ADJ
cana-1240	506	8	american	american	ADJ
cana-1240	506	9	fuzzy	fuzzy	ADJ
cana-1240	506	10	information	information	NOUN
cana-1240	506	11	processing	processing	NOUN
cana-1240	506	12	society	society	NOUN
cana-1240	506	13	(	(	PUNCT
cana-1240	506	14	nafips	nafip	NOUN
cana-1240	506	15	)	)	PUNCT
cana-1240	506	16	held	hold	VERB
cana-1240	506	17	jointly	jointly	ADV
cana-1240	506	18	with	with	ADP
cana-1240	506	19	2015	2015	NUM
cana-1240	506	20	5th	5th	ADJ
cana-1240	506	21	world	world	NOUN
cana-1240	506	22	conference	conference	NOUN
cana-1240	506	23	on	on	ADP
cana-1240	506	24	soft	soft	ADJ
cana-1240	506	25	computing	computing	NOUN
cana-1240	506	26	(	(	PUNCT
cana-1240	506	27	wconsc	wconsc	PROPN
cana-1240	506	28	)	)	PUNCT
cana-1240	506	29	(	(	PUNCT
cana-1240	506	30	pp	pp	X
cana-1240	506	31	.	.	PUNCT
cana-1240	507	1	1	1	NUM
cana-1240	507	2	-	-	SYM
cana-1240	507	3	6	6	NUM
cana-1240	507	4	)	)	PUNCT
cana-1240	507	5	.	.	PUNCT
cana-1240	508	1	ieee	ieee	NOUN
cana-1240	508	2	.	.	PUNCT
cana-1240	509	1	[	[	X
cana-1240	509	2	16	16	NUM
cana-1240	509	3	]	]	X
cana-1240	509	4	khalil	khalil	PROPN
cana-1240	509	5	,	,	PUNCT
cana-1240	509	6	a.m.	a.m.	ADV
cana-1240	509	7	,	,	PUNCT
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cana-1240	509	9	,	,	PUNCT
cana-1240	509	10	s.g	s.g	PROPN
cana-1240	509	11	.	.	PROPN
cana-1240	509	12	,	,	PUNCT
cana-1240	509	13	lin	lin	PROPN
cana-1240	509	14	,	,	PUNCT
cana-1240	509	15	y.	y.	PROPN
cana-1240	509	16	,	,	PUNCT
cana-1240	509	17	li	li	PROPN
cana-1240	509	18	,	,	PUNCT
cana-1240	509	19	h.x	h.x	PROPN
cana-1240	509	20	.	.	PROPN
cana-1240	509	21	and	and	CCONJ
cana-1240	509	22	ma	ma	PROPN
cana-1240	509	23	,	,	PUNCT
cana-1240	509	24	s.g	s.g	PROPN
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cana-1240	509	28	.	.	PUNCT
cana-1240	510	1	a	a	DET
cana-1240	510	2	new	new	ADJ
cana-1240	510	3	expert	expert	NOUN
cana-1240	510	4	system	system	NOUN
cana-1240	510	5	in	in	ADP
cana-1240	510	6	prediction	prediction	NOUN
cana-1240	510	7	of	of	ADP
cana-1240	510	8	lung	lung	NOUN
cana-1240	510	9	cancer	cancer	NOUN
cana-1240	510	10	disease	disease	NOUN
cana-1240	510	11	based	base	VERB
cana-1240	510	12	on	on	ADP
cana-1240	510	13	fuzzy	fuzzy	ADJ
cana-1240	510	14	soft	soft	ADJ
cana-1240	510	15	sets	set	NOUN
cana-1240	510	16	.	.	PUNCT
cana-1240	511	1	soft	soft	ADJ
cana-1240	511	2	computing	computing	NOUN
cana-1240	511	3	,	,	PUNCT
cana-1240	511	4	24(18	24(18	NUM
cana-1240	511	5	)	)	PUNCT
cana-1240	511	6	,	,	PUNCT
cana-1240	511	7	pp.14179	pp.14179	PROPN
cana-1240	511	8	-	-	PUNCT
cana-1240	511	9	14207	14207	NUM
cana-1240	511	10	.	.	PUNCT
cana-1240	512	1	[	[	X
cana-1240	512	2	17	17	NUM
cana-1240	512	3	]	]	X
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cana-1240	512	5	,	,	PUNCT
cana-1240	512	6	d.	d.	PROPN
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cana-1240	512	9	,	,	PUNCT
cana-1240	512	10	k.	k.	NOUN
cana-1240	512	11	,	,	PUNCT
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cana-1240	512	13	.	.	PUNCT
cana-1240	513	1	an	an	DET
cana-1240	513	2	iot	iot	NOUN
cana-1240	513	3	based	base	VERB
cana-1240	513	4	predictive	predictive	ADJ
cana-1240	513	5	modelling	modelling	NOUN
cana-1240	513	6	for	for	ADP
cana-1240	513	7	predicting	predict	VERB
cana-1240	513	8	lung	lung	NOUN
cana-1240	513	9	cancer	cancer	NOUN
cana-1240	513	10	using	use	VERB
cana-1240	513	11	fuzzy	fuzzy	ADJ
cana-1240	513	12	cluster	cluster	NOUN
cana-1240	513	13	based	base	VERB
cana-1240	513	14	segmentation	segmentation	NOUN
cana-1240	513	15	and	and	CCONJ
cana-1240	513	16	classification	classification	NOUN
cana-1240	513	17	.	.	PUNCT
cana-1240	514	1	journal	journal	PROPN
cana-1240	514	2	of	of	ADP
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cana-1240	514	4	systems	system	NOUN
cana-1240	514	5	,	,	PUNCT
cana-1240	514	6	43	43	NUM
cana-1240	514	7	,	,	PUNCT
cana-1240	514	8	pp.1	pp.1	NOUN
cana-1240	514	9	-	-	PUNCT
cana-1240	514	10	12	12	NUM
cana-1240	514	11	.	.	PUNCT
cana-1240	515	1	[	[	X
cana-1240	515	2	18	18	NUM
cana-1240	515	3	]	]	PUNCT
cana-1240	515	4	hatuwal	hatuwal	NOUN
cana-1240	515	5	,	,	PUNCT
cana-1240	515	6	b.k	b.k	PROPN
cana-1240	515	7	.	.	PROPN
cana-1240	515	8	and	and	CCONJ
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cana-1240	515	15	.	.	PUNCT
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cana-1240	516	3	detection	detection	NOUN
cana-1240	516	4	using	use	VERB
cana-1240	516	5	convolutional	convolutional	ADJ
cana-1240	516	6	neural	neural	ADJ
cana-1240	516	7	network	network	NOUN
cana-1240	516	8	on	on	ADP
cana-1240	516	9	histopathological	histopathological	ADJ
cana-1240	516	10	images	image	NOUN
cana-1240	516	11	.	.	PUNCT
cana-1240	517	1	int	int	NOUN
cana-1240	517	2	.	.	PUNCT
cana-1240	518	1	j.	j.	PROPN
cana-1240	518	2	comput	comput	PROPN
cana-1240	518	3	.	.	PUNCT
cana-1240	519	1	trends	trend	NOUN
cana-1240	519	2	technol	technol	ADJ
cana-1240	519	3	,	,	PUNCT
cana-1240	519	4	68(10	68(10	NUM
cana-1240	519	5	)	)	PUNCT
cana-1240	519	6	,	,	PUNCT
cana-1240	519	7	pp.21	pp.21	NOUN
cana-1240	519	8	-	-	SYM
cana-1240	519	9	24	24	NUM
cana-1240	519	10	.	.	PUNCT
cana-1240	520	1	[	[	X
cana-1240	520	2	19	19	NUM
cana-1240	520	3	]	]	X
cana-1240	520	4	mishra	mishra	PROPN
cana-1240	520	5	,	,	PUNCT
cana-1240	520	6	s.	s.	PROPN
cana-1240	520	7	,	,	PUNCT
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cana-1240	520	9	,	,	PUNCT
cana-1240	520	10	h.k	h.k	PROPN
cana-1240	520	11	.	.	PROPN
cana-1240	520	12	,	,	PUNCT
cana-1240	520	13	mallick	mallick	PROPN
cana-1240	520	14	,	,	PUNCT
cana-1240	520	15	p.k	p.k	PROPN
cana-1240	520	16	.	.	PROPN
cana-1240	520	17	,	,	PUNCT
cana-1240	520	18	tiwari	tiwari	PROPN
cana-1240	520	19	,	,	PUNCT
cana-1240	520	20	p.	p.	NOUN
cana-1240	520	21	and	and	CCONJ
cana-1240	520	22	alamri	alamri	ADJ
cana-1240	520	23	,	,	PUNCT
cana-1240	520	24	a.	a.	NOUN
cana-1240	520	25	,	,	PUNCT
cana-1240	520	26	2021	2021	NUM
cana-1240	520	27	.	.	PUNCT
cana-1240	521	1	a	a	DET
cana-1240	521	2	sustainable	sustainable	ADJ
cana-1240	521	3	ioht	ioht	ADV
cana-1240	521	4	based	base	VERB
cana-1240	521	5	computationally	computationally	ADV
cana-1240	521	6	intelligent	intelligent	ADJ
cana-1240	521	7	healthcare	healthcare	NOUN
cana-1240	521	8	monitoring	monitor	VERB
cana-1240	521	9	system	system	NOUN
cana-1240	521	10	for	for	ADP
cana-1240	521	11	lung	lung	NOUN
cana-1240	521	12	cancer	cancer	NOUN
cana-1240	521	13	risk	risk	NOUN
cana-1240	521	14	detection	detection	NOUN
cana-1240	521	15	.	.	PUNCT
cana-1240	522	1	sustainable	sustainable	ADJ
cana-1240	522	2	cities	city	NOUN
cana-1240	522	3	and	and	CCONJ
cana-1240	522	4	society	society	NOUN
cana-1240	522	5	,	,	PUNCT
cana-1240	522	6	72	72	NUM
cana-1240	522	7	,	,	PUNCT
cana-1240	522	8	p.103079	p.103079	NOUN
cana-1240	522	9	.	.	PUNCT
cana-1240	523	1	communications	communication	NOUN
cana-1240	523	2	on	on	ADP
cana-1240	523	3	applied	apply	VERB
cana-1240	523	4	nonlinear	nonlinear	ADJ
cana-1240	523	5	analysis	analysis	NOUN
cana-1240	523	6	issn	issn	NOUN
cana-1240	523	7	:	:	PUNCT
cana-1240	523	8	1074	1074	NUM
cana-1240	523	9	-	-	PUNCT
cana-1240	523	10	133x	133x	NUM
cana-1240	523	11	vol	vol	NOUN
cana-1240	523	12	31	31	NUM
cana-1240	523	13	no	no	NOUN
cana-1240	523	14	.	.	PUNCT
cana-1240	524	1	6s	6s	NUM
cana-1240	524	2	(	(	PUNCT
cana-1240	524	3	2024	2024	NUM
cana-1240	524	4	)	)	PUNCT
cana-1240	524	5	523	523	NUM
cana-1240	524	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1240	525	1	[	[	X
cana-1240	525	2	20	20	NUM
cana-1240	525	3	]	]	PUNCT
cana-1240	525	4	jalaldeen	jalaldeen	PROPN
cana-1240	525	5	,	,	PUNCT
cana-1240	525	6	k.	k.	PROPN
cana-1240	525	7	,	,	PUNCT
cana-1240	525	8	malathi	malathi	PROPN
cana-1240	525	9	,	,	PUNCT
cana-1240	525	10	m.	m.	NOUN
cana-1240	525	11	,	,	PUNCT
cana-1240	525	12	sinthia	sinthia	NOUN
cana-1240	525	13	,	,	PUNCT
cana-1240	525	14	p.	p.	NOUN
cana-1240	525	15	,	,	PUNCT
cana-1240	525	16	vadivel	vadivel	NOUN
cana-1240	525	17	,	,	PUNCT
cana-1240	525	18	m.	m.	NOUN
cana-1240	525	19	and	and	CCONJ
cana-1240	525	20	shankar	shankar	PROPN
cana-1240	525	21	,	,	PUNCT
cana-1240	525	22	b.m	b.m	PROPN
cana-1240	525	23	.	.	PROPN
cana-1240	525	24	,	,	PUNCT
cana-1240	525	25	2021	2021	NUM
cana-1240	525	26	.	.	PUNCT
cana-1240	526	1	an	an	DET
cana-1240	526	2	automatic	automatic	ADJ
cana-1240	526	3	identification	identification	NOUN
cana-1240	526	4	of	of	ADP
cana-1240	526	5	lung	lung	NOUN
cana-1240	526	6	tumor	tumor	NOUN
cana-1240	526	7	by	by	ADP
cana-1240	526	8	using	use	VERB
cana-1240	526	9	cnn	cnn	PROPN
cana-1240	526	10	network	network	NOUN
cana-1240	526	11	and	and	CCONJ
cana-1240	526	12	fuzzy	fuzzy	ADJ
cana-1240	526	13	-	-	PUNCT
cana-1240	526	14	clustering	cluster	VERB
cana-1240	526	15	algorithm	algorithm	NOUN
cana-1240	526	16	.	.	PUNCT
cana-1240	527	1	materials	material	NOUN
cana-1240	527	2	today	today	NOUN
cana-1240	527	3	:	:	PUNCT
cana-1240	527	4	proceedings	proceeding	NOUN
cana-1240	527	5	,	,	PUNCT
cana-1240	527	6	45	45	NUM
cana-1240	527	7	,	,	PUNCT
cana-1240	527	8	pp.2921	pp.2921	PROPN
cana-1240	527	9	-	-	NOUN
cana-1240	527	10	2924	2924	NUM
cana-1240	527	11	.	.	PUNCT
cana-1240	528	1	[	[	X
cana-1240	528	2	21	21	NUM
cana-1240	528	3	]	]	X
cana-1240	528	4	prasad	prasad	PROPN
cana-1240	528	5	,	,	PUNCT
cana-1240	528	6	j.	j.	PROPN
cana-1240	528	7	,	,	PUNCT
cana-1240	528	8	chakravarty	chakravarty	PROPN
cana-1240	528	9	,	,	PUNCT
cana-1240	528	10	s.	s.	PROPN
cana-1240	528	11	and	and	CCONJ
cana-1240	528	12	krishna	krishna	PROPN
cana-1240	528	13	,	,	PUNCT
cana-1240	528	14	m.v	m.v	PROPN
cana-1240	528	15	.	.	PROPN
cana-1240	528	16	,	,	PUNCT
cana-1240	528	17	2022	2022	NUM
cana-1240	528	18	.	.	PUNCT
cana-1240	528	19	lung	lung	NOUN
cana-1240	528	20	cancer	cancer	NOUN
cana-1240	528	21	detection	detection	NOUN
cana-1240	528	22	using	use	VERB
cana-1240	528	23	an	an	DET
cana-1240	528	24	integration	integration	NOUN
cana-1240	528	25	of	of	ADP
cana-1240	528	26	fuzzy	fuzzy	ADJ
cana-1240	528	27	k	k	ADJ
cana-1240	528	28	-	-	PUNCT
cana-1240	528	29	means	mean	VERB
cana-1240	528	30	clustering	clustering	NOUN
cana-1240	528	31	and	and	CCONJ
cana-1240	528	32	deep	deep	ADJ
cana-1240	528	33	learning	learning	NOUN
cana-1240	528	34	techniques	technique	NOUN
cana-1240	528	35	for	for	ADP
cana-1240	528	36	ct	ct	PROPN
cana-1240	528	37	lung	lung	NOUN
cana-1240	528	38	images	image	NOUN
cana-1240	528	39	.	.	PUNCT
cana-1240	529	1	bulletin	bulletin	NOUN
cana-1240	529	2	of	of	ADP
cana-1240	529	3	the	the	DET
cana-1240	529	4	polish	polish	PROPN
cana-1240	529	5	academy	academy	PROPN
cana-1240	529	6	of	of	ADP
cana-1240	529	7	sciences	sciences	PROPN
cana-1240	529	8	:	:	PUNCT
cana-1240	529	9	technical	technical	ADJ
cana-1240	529	10	sciences	science	NOUN
cana-1240	529	11	,	,	PUNCT
cana-1240	529	12	pp.e139006	pp.e139006	NOUN
cana-1240	529	13	-	-	NOUN
cana-1240	529	14	e139006	e139006	NOUN
cana-1240	529	15	.	.	PUNCT
cana-1240	530	1	[	[	X
cana-1240	530	2	22	22	NUM
cana-1240	530	3	]	]	SYM
cana-1240	530	4	tiwari	tiwari	PROPN
cana-1240	530	5	,	,	PUNCT
cana-1240	530	6	l.	l.	PROPN
cana-1240	530	7	,	,	PUNCT
cana-1240	530	8	raja	raja	PROPN
cana-1240	530	9	,	,	PUNCT
cana-1240	530	10	r.	r.	PROPN
cana-1240	530	11	,	,	PUNCT
cana-1240	530	12	awasthi	awasthi	PROPN
cana-1240	530	13	,	,	PUNCT
cana-1240	530	14	v.	v.	PROPN
cana-1240	530	15	,	,	PUNCT
cana-1240	530	16	miri	miri	PROPN
cana-1240	530	17	,	,	PUNCT
cana-1240	530	18	r.	r.	PROPN
cana-1240	530	19	,	,	PUNCT
cana-1240	530	20	sinha	sinha	PROPN
cana-1240	530	21	,	,	PUNCT
cana-1240	530	22	g.r	g.r	PROPN
cana-1240	530	23	.	.	PROPN
cana-1240	530	24	,	,	PUNCT
cana-1240	530	25	alkinani	alkinani	PROPN
cana-1240	530	26	,	,	PUNCT
cana-1240	530	27	m.h	m.h	PROPN
cana-1240	530	28	.	.	PROPN
cana-1240	530	29	and	and	CCONJ
cana-1240	530	30	polat	polat	PROPN
cana-1240	530	31	,	,	PUNCT
cana-1240	530	32	k.	k.	PROPN
cana-1240	530	33	,	,	PUNCT
cana-1240	530	34	2021	2021	NUM
cana-1240	530	35	.	.	PUNCT
cana-1240	530	36	detection	detection	NOUN
cana-1240	530	37	of	of	ADP
cana-1240	530	38	lung	lung	NOUN
cana-1240	530	39	nodule	nodule	NOUN
cana-1240	530	40	and	and	CCONJ
cana-1240	530	41	cancer	cancer	NOUN
cana-1240	530	42	using	use	VERB
cana-1240	530	43	novel	novel	NOUN
cana-1240	530	44	mask-3	mask-3	PROPN
cana-1240	530	45	fcm	fcm	X
cana-1240	530	46	and	and	CCONJ
cana-1240	530	47	twedlnn	twedlnn	NOUN
cana-1240	530	48	algorithms	algorithm	NOUN
cana-1240	530	49	.	.	PUNCT
cana-1240	531	1	measurement	measurement	NOUN
cana-1240	531	2	,	,	PUNCT
cana-1240	531	3	172	172	NUM
cana-1240	531	4	,	,	PUNCT
cana-1240	531	5	p.108882	p.108882	NOUN
cana-1240	531	6	.	.	PUNCT
cana-1240	532	1	[	[	X
cana-1240	532	2	23	23	NUM
cana-1240	532	3	]	]	X
cana-1240	532	4	lakshmanaprabu	lakshmanaprabu	NOUN
cana-1240	532	5	,	,	PUNCT
cana-1240	532	6	s.k	s.k	PROPN
cana-1240	532	7	.	.	PROPN
cana-1240	532	8	,	,	PUNCT
cana-1240	532	9	mohanty	mohanty	PROPN
cana-1240	532	10	,	,	PUNCT
cana-1240	532	11	s.n	s.n	PROPN
cana-1240	532	12	.	.	PROPN
cana-1240	532	13	,	,	PUNCT
cana-1240	532	14	shankar	shankar	PROPN
cana-1240	532	15	,	,	PUNCT
cana-1240	532	16	k.	k.	PROPN
cana-1240	532	17	,	,	PUNCT
cana-1240	532	18	arunkumar	arunkumar	PROPN
cana-1240	532	19	,	,	PUNCT
cana-1240	532	20	n.	n.	NOUN
cana-1240	532	21	and	and	CCONJ
cana-1240	532	22	ramirez	ramirez	PROPN
cana-1240	532	23	,	,	PUNCT
cana-1240	532	24	g.	g.	PROPN
cana-1240	532	25	,	,	PUNCT
cana-1240	532	26	2019	2019	NUM
cana-1240	532	27	.	.	PUNCT
cana-1240	533	1	optimal	optimal	ADJ
cana-1240	533	2	deep	deep	ADJ
cana-1240	533	3	learning	learning	NOUN
cana-1240	533	4	model	model	NOUN
cana-1240	533	5	for	for	ADP
cana-1240	533	6	classification	classification	NOUN
cana-1240	533	7	of	of	ADP
cana-1240	533	8	lung	lung	NOUN
cana-1240	533	9	cancer	cancer	NOUN
cana-1240	533	10	on	on	ADP
cana-1240	533	11	ct	ct	NUM
cana-1240	533	12	images	image	NOUN
cana-1240	533	13	.	.	PUNCT
cana-1240	534	1	future	future	ADJ
cana-1240	534	2	generation	generation	NOUN
cana-1240	534	3	computer	computer	NOUN
cana-1240	534	4	systems	system	NOUN
cana-1240	534	5	,	,	PUNCT
cana-1240	534	6	92	92	NUM
cana-1240	534	7	,	,	PUNCT
cana-1240	534	8	pp.374	pp.374	NOUN
cana-1240	534	9	-	-	PUNCT
cana-1240	534	10	382	382	NUM
cana-1240	534	11	.	.	PUNCT
cana-1240	535	1	[	[	X
cana-1240	535	2	24	24	NUM
cana-1240	535	3	]	]	SYM
cana-1240	535	4	hussain	hussain	PROPN
cana-1240	535	5	,	,	PUNCT
cana-1240	535	6	l.	l.	PROPN
cana-1240	535	7	,	,	PUNCT
cana-1240	535	8	aziz	aziz	PROPN
cana-1240	535	9	,	,	PUNCT
cana-1240	535	10	w.	w.	PROPN
cana-1240	535	11	,	,	PUNCT
cana-1240	535	12	alshdadi	alshdadi	PROPN
cana-1240	535	13	,	,	PUNCT
cana-1240	535	14	a.a	a.a	PROPN
cana-1240	535	15	.	.	PROPN
cana-1240	535	16	,	,	PUNCT
cana-1240	535	17	nadeem	nadeem	ADJ
cana-1240	535	18	,	,	PUNCT
cana-1240	535	19	m.s.a	m.s.a	X
cana-1240	535	20	.	.	PUNCT
cana-1240	535	21	and	and	CCONJ
cana-1240	535	22	khan	khan	PROPN
cana-1240	535	23	,	,	PUNCT
cana-1240	535	24	i.r	i.r	PROPN
cana-1240	535	25	.	.	PROPN
cana-1240	535	26	,	,	PUNCT
cana-1240	535	27	2019	2019	NUM
cana-1240	535	28	.	.	PUNCT
cana-1240	536	1	analyzing	analyze	VERB
cana-1240	536	2	the	the	DET
cana-1240	536	3	dynamics	dynamic	NOUN
cana-1240	536	4	of	of	ADP
cana-1240	536	5	lung	lung	NOUN
cana-1240	536	6	cancer	cancer	NOUN
cana-1240	536	7	imaging	imaging	NOUN
cana-1240	536	8	data	datum	NOUN
cana-1240	536	9	using	use	VERB
cana-1240	536	10	refined	refined	ADJ
cana-1240	536	11	fuzzy	fuzzy	ADJ
cana-1240	536	12	entropy	entropy	NOUN
cana-1240	536	13	methods	method	NOUN
cana-1240	536	14	by	by	ADP
cana-1240	536	15	extracting	extract	VERB
cana-1240	536	16	different	different	ADJ
cana-1240	536	17	features	feature	NOUN
cana-1240	536	18	.	.	PUNCT
cana-1240	537	1	ieee	ieee	NOUN
cana-1240	537	2	access	access	NOUN
cana-1240	537	3	,	,	PUNCT
cana-1240	537	4	7	7	NUM
cana-1240	537	5	,	,	PUNCT
cana-1240	537	6	pp.64704	pp.64704	NOUN
cana-1240	537	7	-	-	PUNCT
cana-1240	537	8	64721	64721	NUM
cana-1240	537	9	.	.	PUNCT
cana-1240	538	1	[	[	X
cana-1240	538	2	25	25	NUM
cana-1240	538	3	]	]	X
cana-1240	538	4	masood	masood	PROPN
cana-1240	538	5	,	,	PUNCT
cana-1240	538	6	a.	a.	PROPN
cana-1240	538	7	,	,	PUNCT
cana-1240	538	8	sheng	sheng	PROPN
cana-1240	538	9	,	,	PUNCT
cana-1240	538	10	b.	b.	PROPN
cana-1240	538	11	,	,	PUNCT
cana-1240	538	12	yang	yang	PROPN
cana-1240	538	13	,	,	PUNCT
cana-1240	538	14	p.	p.	PROPN
cana-1240	538	15	,	,	PUNCT
cana-1240	538	16	li	li	PROPN
cana-1240	538	17	,	,	PUNCT
cana-1240	538	18	p.	p.	PROPN
cana-1240	538	19	,	,	PUNCT
cana-1240	538	20	li	li	PROPN
cana-1240	538	21	,	,	PUNCT
cana-1240	538	22	h.	h.	PROPN
cana-1240	538	23	,	,	PUNCT
cana-1240	538	24	kim	kim	PROPN
cana-1240	538	25	,	,	PUNCT
cana-1240	538	26	j.	j.	PROPN
cana-1240	538	27	and	and	CCONJ
cana-1240	538	28	feng	feng	PROPN
cana-1240	538	29	,	,	PUNCT
cana-1240	538	30	d.d	d.d	PROPN
cana-1240	538	31	.	.	PROPN
cana-1240	538	32	,	,	PUNCT
cana-1240	538	33	2020	2020	NUM
cana-1240	538	34	.	.	PUNCT
cana-1240	538	35	automated	automate	VERB
cana-1240	538	36	decision	decision	NOUN
cana-1240	538	37	support	support	NOUN
cana-1240	538	38	system	system	NOUN
cana-1240	538	39	for	for	ADP
cana-1240	538	40	lung	lung	NOUN
cana-1240	538	41	cancer	cancer	NOUN
cana-1240	538	42	detection	detection	NOUN
cana-1240	538	43	and	and	CCONJ
cana-1240	538	44	classification	classification	NOUN
cana-1240	538	45	via	via	ADP
cana-1240	538	46	enhanced	enhanced	ADJ
cana-1240	538	47	rfcn	rfcn	NOUN
cana-1240	538	48	with	with	ADP
cana-1240	538	49	multilayer	multilayer	ADJ
cana-1240	538	50	fusion	fusion	NOUN
cana-1240	538	51	rpn	rpn	PROPN
cana-1240	538	52	.	.	PUNCT
cana-1240	539	1	ieee	ieee	NOUN
cana-1240	539	2	transactions	transaction	NOUN
cana-1240	539	3	on	on	ADP
cana-1240	539	4	industrial	industrial	ADJ
cana-1240	539	5	informatics	informatic	NOUN
cana-1240	539	6	,	,	PUNCT
cana-1240	539	7	16(12	16(12	NUM
cana-1240	539	8	)	)	PUNCT
cana-1240	539	9	,	,	PUNCT
cana-1240	539	10	pp.7791	pp.7791	PROPN
cana-1240	539	11	-	-	SYM
cana-1240	539	12	7801	7801	NUM
cana-1240	539	13	.	.	PUNCT
cana-1240	540	1	[	[	X
cana-1240	540	2	26	26	NUM
cana-1240	540	3	]	]	X
cana-1240	540	4	dataset	dataset	NOUN
cana-1240	540	5	is	be	AUX
cana-1240	540	6	taken	take	VERB
cana-1240	540	7	from	from	ADP
cana-1240	540	8	https://www.kaggle.com/datasets/thedevastator/cancer-patients-and-air-pollution-a-newlink	https://www.kaggle.com/datasets/thedevastator/cancer-patients-and-air-pollution-a-newlink	NOUN
cana-1240	540	9	.	.	PUNCT