id	sid	tid	token	lemma	pos
fcis-25716	1	1	frontiers	frontier	NOUN
fcis-25716	1	2	in	in	ADP
fcis-25716	1	3	computing	computing	NOUN
fcis-25716	1	4	and	and	CCONJ
fcis-25716	1	5	intelligent	intelligent	ADJ
fcis-25716	1	6	systems	system	NOUN
fcis-25716	1	7	issn	issn	VERB
fcis-25716	1	8	:	:	PUNCT
fcis-25716	1	9	2832	2832	NUM
fcis-25716	1	10	-	-	SYM
fcis-25716	1	11	6024	6024	NUM
fcis-25716	1	12	|	|	NOUN
fcis-25716	1	13	vol	vol	NOUN
fcis-25716	1	14	.	.	PROPN
fcis-25716	2	1	9	9	NUM
fcis-25716	2	2	,	,	PUNCT
fcis-25716	2	3	no	no	INTJ
fcis-25716	2	4	.	.	NOUN
fcis-25716	2	5	3	3	NUM
fcis-25716	2	6	,	,	PUNCT
fcis-25716	2	7	2024	2024	NUM
fcis-25716	2	8	32	32	NUM
fcis-25716	2	9	dcss‐unet	dcss‐unet	NOUN
fcis-25716	2	10	:	:	PUNCT
fcis-25716	2	11	unet	unet	NOUN
fcis-25716	2	12	based	base	VERB
fcis-25716	2	13	on	on	ADP
fcis-25716	2	14	state	state	NOUN
fcis-25716	2	15	space	space	NOUN
fcis-25716	2	16	model	model	NOUN
fcis-25716	2	17	for	for	ADP
fcis-25716	2	18	polyp	polyp	NOUN
fcis-25716	2	19	segmentation	segmentation	NOUN
fcis-25716	2	20	xiuwei	xiuwei	PROPN
fcis-25716	2	21	wang	wang	PROPN
fcis-25716	2	22	1	1	NUM
fcis-25716	2	23	,	,	PUNCT
fcis-25716	2	24	biyuan	biyuan	PROPN
fcis-25716	2	25	li	li	PROPN
fcis-25716	2	26	1	1	NUM
fcis-25716	2	27	,	,	PUNCT
fcis-25716	2	28	2	2	NUM
fcis-25716	2	29	,	,	PUNCT
fcis-25716	2	30	*	*	NUM
fcis-25716	2	31	1	1	NUM
fcis-25716	2	32	school	school	NOUN
fcis-25716	2	33	of	of	ADP
fcis-25716	2	34	electronic	electronic	ADJ
fcis-25716	2	35	engineering	engineering	NOUN
fcis-25716	2	36	,	,	PUNCT
fcis-25716	2	37	tianjin	tianjin	PROPN
fcis-25716	2	38	university	university	PROPN
fcis-25716	2	39	of	of	ADP
fcis-25716	2	40	technology	technology	NOUN
fcis-25716	2	41	and	and	CCONJ
fcis-25716	2	42	education	education	NOUN
fcis-25716	2	43	,	,	PUNCT
fcis-25716	2	44	tianjin	tianjin	NOUN
fcis-25716	2	45	,	,	PUNCT
fcis-25716	2	46	300222	300222	NUM
fcis-25716	2	47	,	,	PUNCT
fcis-25716	2	48	china	china	PROPN
fcis-25716	2	49	2	2	NUM
fcis-25716	2	50	tianjin	tianjin	PROPN
fcis-25716	2	51	development	development	PROPN
fcis-25716	2	52	zone	zone	PROPN
fcis-25716	2	53	jingnuohanhai	jingnuohanhai	PROPN
fcis-25716	2	54	data	data	PROPN
fcis-25716	2	55	technology	technology	PROPN
fcis-25716	2	56	co.	co.	PROPN
fcis-25716	2	57	,	,	PUNCT
fcis-25716	2	58	ltd	ltd	PROPN
fcis-25716	2	59	,	,	PUNCT
fcis-25716	2	60	tianjin	tianjin	PROPN
fcis-25716	2	61	,	,	PUNCT
fcis-25716	2	62	china	china	PROPN
fcis-25716	2	63	*	*	PUNCT
fcis-25716	2	64	corresponding	correspond	VERB
fcis-25716	2	65	author	author	NOUN
fcis-25716	2	66	:	:	PUNCT
fcis-25716	2	67	biyuan	biyuan	PROPN
fcis-25716	2	68	li	li	PROPN
fcis-25716	2	69	(	(	PUNCT
fcis-25716	2	70	email	email	NOUN
fcis-25716	2	71	:	:	PUNCT
fcis-25716	2	72	lby@tute.edu.cn	lby@tute.edu.cn	ADJ
fcis-25716	2	73	)	)	PUNCT
fcis-25716	2	74	abstract	abstract	NOUN
fcis-25716	2	75	:	:	PUNCT
fcis-25716	2	76	early	early	ADJ
fcis-25716	2	77	and	and	CCONJ
fcis-25716	2	78	accurate	accurate	ADJ
fcis-25716	2	79	segmentation	segmentation	NOUN
fcis-25716	2	80	of	of	ADP
fcis-25716	2	81	medical	medical	ADJ
fcis-25716	2	82	images	image	NOUN
fcis-25716	2	83	can	can	AUX
fcis-25716	2	84	provide	provide	VERB
fcis-25716	2	85	valuable	valuable	ADJ
fcis-25716	2	86	information	information	NOUN
fcis-25716	2	87	for	for	ADP
fcis-25716	2	88	medical	medical	ADJ
fcis-25716	2	89	treatment	treatment	NOUN
fcis-25716	2	90	.	.	PUNCT
fcis-25716	3	1	in	in	ADP
fcis-25716	3	2	recent	recent	ADJ
fcis-25716	3	3	years	year	NOUN
fcis-25716	3	4	,	,	PUNCT
fcis-25716	3	5	the	the	DET
fcis-25716	3	6	automatic	automatic	ADJ
fcis-25716	3	7	and	and	CCONJ
fcis-25716	3	8	accurate	accurate	ADJ
fcis-25716	3	9	segmentation	segmentation	NOUN
fcis-25716	3	10	of	of	ADP
fcis-25716	3	11	polyps	polyp	NOUN
fcis-25716	3	12	in	in	ADP
fcis-25716	3	13	colonoscopy	colonoscopy	NOUN
fcis-25716	3	14	images	image	NOUN
fcis-25716	3	15	has	have	AUX
fcis-25716	3	16	received	receive	VERB
fcis-25716	3	17	extensive	extensive	ADJ
fcis-25716	3	18	attention	attention	NOUN
fcis-25716	3	19	from	from	ADP
fcis-25716	3	20	the	the	DET
fcis-25716	3	21	research	research	NOUN
fcis-25716	3	22	community	community	NOUN
fcis-25716	3	23	of	of	ADP
fcis-25716	3	24	artificial	artificial	ADJ
fcis-25716	3	25	intelligence	intelligence	NOUN
fcis-25716	3	26	and	and	CCONJ
fcis-25716	3	27	computer	computer	NOUN
fcis-25716	3	28	vision	vision	NOUN
fcis-25716	3	29	.	.	PUNCT
fcis-25716	4	1	many	many	ADJ
fcis-25716	4	2	researchers	researcher	NOUN
fcis-25716	4	3	have	have	AUX
fcis-25716	4	4	conducted	conduct	VERB
fcis-25716	4	5	in	in	ADP
fcis-25716	4	6	-	-	PUNCT
fcis-25716	4	7	depth	depth	NOUN
fcis-25716	4	8	research	research	NOUN
fcis-25716	4	9	on	on	ADP
fcis-25716	4	10	models	model	NOUN
fcis-25716	4	11	based	base	VERB
fcis-25716	4	12	on	on	ADP
fcis-25716	4	13	cnn	cnn	PROPN
fcis-25716	4	14	and	and	CCONJ
fcis-25716	4	15	transformer	transformer	NOUN
fcis-25716	4	16	.	.	PUNCT
fcis-25716	5	1	however	however	ADV
fcis-25716	5	2	,	,	PUNCT
fcis-25716	5	3	cnn	cnn	PROPN
fcis-25716	5	4	have	have	AUX
fcis-25716	5	5	limited	limit	VERB
fcis-25716	5	6	ability	ability	NOUN
fcis-25716	5	7	to	to	PART
fcis-25716	5	8	model	model	VERB
fcis-25716	5	9	remote	remote	ADJ
fcis-25716	5	10	dependencies	dependency	NOUN
fcis-25716	5	11	,	,	PUNCT
fcis-25716	5	12	which	which	PRON
fcis-25716	5	13	makes	make	VERB
fcis-25716	5	14	it	it	PRON
fcis-25716	5	15	challenging	challenging	ADJ
fcis-25716	5	16	to	to	PART
fcis-25716	5	17	fully	fully	ADV
fcis-25716	5	18	utilize	utilize	VERB
fcis-25716	5	19	semantic	semantic	ADJ
fcis-25716	5	20	information	information	NOUN
fcis-25716	5	21	in	in	ADP
fcis-25716	5	22	images	image	NOUN
fcis-25716	5	23	.	.	PUNCT
fcis-25716	6	1	on	on	ADP
fcis-25716	6	2	the	the	DET
fcis-25716	6	3	other	other	ADJ
fcis-25716	6	4	hand	hand	NOUN
fcis-25716	6	5	,	,	PUNCT
fcis-25716	6	6	the	the	DET
fcis-25716	6	7	complexity	complexity	NOUN
fcis-25716	6	8	of	of	ADP
fcis-25716	6	9	the	the	DET
fcis-25716	6	10	secondary	secondary	ADJ
fcis-25716	6	11	computation	computation	NOUN
fcis-25716	6	12	poses	pose	VERB
fcis-25716	6	13	a	a	DET
fcis-25716	6	14	challenge	challenge	NOUN
fcis-25716	6	15	to	to	ADP
fcis-25716	6	16	the	the	DET
fcis-25716	6	17	transformer	transformer	NOUN
fcis-25716	6	18	.	.	PUNCT
fcis-25716	7	1	recently	recently	ADV
fcis-25716	7	2	,	,	PUNCT
fcis-25716	7	3	state	state	NOUN
fcis-25716	7	4	-	-	PUNCT
fcis-25716	7	5	space	space	NOUN
fcis-25716	7	6	models	model	NOUN
fcis-25716	7	7	(	(	PUNCT
fcis-25716	7	8	ssms	ssm	NOUN
fcis-25716	7	9	)	)	PUNCT
fcis-25716	7	10	,	,	PUNCT
fcis-25716	7	11	such	such	ADJ
fcis-25716	7	12	as	as	ADP
fcis-25716	7	13	mamba	mamba	NOUN
fcis-25716	7	14	,	,	PUNCT
fcis-25716	7	15	have	have	AUX
fcis-25716	7	16	been	be	AUX
fcis-25716	7	17	recognized	recognize	VERB
fcis-25716	7	18	as	as	ADP
fcis-25716	7	19	a	a	DET
fcis-25716	7	20	promising	promising	ADJ
fcis-25716	7	21	approach	approach	NOUN
fcis-25716	7	22	.	.	PUNCT
fcis-25716	8	1	they	they	PRON
fcis-25716	8	2	not	not	PART
fcis-25716	8	3	only	only	ADV
fcis-25716	8	4	show	show	VERB
fcis-25716	8	5	superior	superior	ADJ
fcis-25716	8	6	performance	performance	NOUN
fcis-25716	8	7	in	in	ADP
fcis-25716	8	8	remote	remote	ADJ
fcis-25716	8	9	interaction	interaction	NOUN
fcis-25716	8	10	,	,	PUNCT
fcis-25716	8	11	but	but	CCONJ
fcis-25716	8	12	also	also	ADV
fcis-25716	8	13	maintain	maintain	VERB
fcis-25716	8	14	linear	linear	ADJ
fcis-25716	8	15	computational	computational	ADJ
fcis-25716	8	16	complexity	complexity	NOUN
fcis-25716	8	17	.	.	PUNCT
fcis-25716	9	1	inspired	inspire	VERB
fcis-25716	9	2	by	by	ADP
fcis-25716	9	3	mamba	mamba	NOUN
fcis-25716	9	4	,	,	PUNCT
fcis-25716	9	5	we	we	PRON
fcis-25716	9	6	propose	propose	VERB
fcis-25716	9	7	dcss	dcss	NOUN
fcis-25716	9	8	-	-	PUNCT
fcis-25716	9	9	unet	unet	NOUN
fcis-25716	9	10	,	,	PUNCT
fcis-25716	9	11	where	where	SCONJ
fcis-25716	9	12	we	we	PRON
fcis-25716	9	13	utilize	utilize	VERB
fcis-25716	9	14	visual	visual	ADJ
fcis-25716	9	15	state	state	NOUN
fcis-25716	9	16	space	space	NOUN
fcis-25716	9	17	(	(	PUNCT
fcis-25716	9	18	vss	vss	NOUN
fcis-25716	9	19	)	)	PUNCT
fcis-25716	9	20	blocks	block	NOUN
fcis-25716	9	21	in	in	ADP
fcis-25716	9	22	vmamba	vmamba	ADV
fcis-25716	9	23	to	to	PART
fcis-25716	9	24	capture	capture	VERB
fcis-25716	9	25	a	a	DET
fcis-25716	9	26	wide	wide	ADJ
fcis-25716	9	27	range	range	NOUN
fcis-25716	9	28	of	of	ADP
fcis-25716	9	29	contextual	contextual	ADJ
fcis-25716	9	30	information	information	NOUN
fcis-25716	9	31	.	.	PUNCT
fcis-25716	10	1	in	in	ADP
fcis-25716	10	2	the	the	DET
fcis-25716	10	3	skip	skip	ADJ
fcis-25716	10	4	connection	connection	NOUN
fcis-25716	10	5	phase	phase	NOUN
fcis-25716	10	6	,	,	PUNCT
fcis-25716	10	7	we	we	PRON
fcis-25716	10	8	propose	propose	VERB
fcis-25716	10	9	skip	skip	ADJ
fcis-25716	10	10	connects	connect	VERB
fcis-25716	10	11	feature	feature	NOUN
fcis-25716	10	12	attention	attention	NOUN
fcis-25716	10	13	modules(sfa	modules(sfa	PROPN
fcis-25716	10	14	)	)	PUNCT
fcis-25716	10	15	to	to	PART
fcis-25716	10	16	better	well	ADV
fcis-25716	10	17	communicate	communicate	VERB
fcis-25716	10	18	information	information	NOUN
fcis-25716	10	19	from	from	ADP
fcis-25716	10	20	the	the	DET
fcis-25716	10	21	encoder	encoder	NOUN
fcis-25716	10	22	.	.	PUNCT
fcis-25716	11	1	in	in	ADP
fcis-25716	11	2	the	the	DET
fcis-25716	11	3	decoder	decoder	NOUN
fcis-25716	11	4	stage	stage	NOUN
fcis-25716	11	5	,	,	PUNCT
fcis-25716	11	6	we	we	PRON
fcis-25716	11	7	innovatively	innovatively	ADV
fcis-25716	11	8	combined	combine	VERB
fcis-25716	11	9	the	the	DET
fcis-25716	11	10	temporal	temporal	ADJ
fcis-25716	11	11	fusion	fusion	NOUN
fcis-25716	11	12	attention	attention	NOUN
fcis-25716	11	13	module(tfam	module(tfam	PROPN
fcis-25716	11	14	)	)	PUNCT
fcis-25716	11	15	to	to	PART
fcis-25716	11	16	effectively	effectively	ADV
fcis-25716	11	17	fuse	fuse	VERB
fcis-25716	11	18	the	the	DET
fcis-25716	11	19	feature	feature	NOUN
fcis-25716	11	20	information	information	NOUN
fcis-25716	11	21	.	.	PUNCT
fcis-25716	12	1	in	in	ADP
fcis-25716	12	2	addition	addition	NOUN
fcis-25716	12	3	,	,	PUNCT
fcis-25716	12	4	we	we	PRON
fcis-25716	12	5	introduced	introduce	VERB
fcis-25716	12	6	a	a	DET
fcis-25716	12	7	custom	custom	NOUN
fcis-25716	12	8	loss	loss	NOUN
fcis-25716	12	9	calculation	calculation	NOUN
fcis-25716	12	10	method	method	NOUN
fcis-25716	12	11	,	,	PUNCT
fcis-25716	12	12	tversky	tversky	ADJ
fcis-25716	12	13	loss	loss	NOUN
fcis-25716	12	14	,	,	PUNCT
fcis-25716	12	15	for	for	SCONJ
fcis-25716	12	16	the	the	DET
fcis-25716	12	17	model	model	NOUN
fcis-25716	12	18	to	to	PART
fcis-25716	12	19	achieve	achieve	VERB
fcis-25716	12	20	faster	fast	ADJ
fcis-25716	12	21	convergence	convergence	NOUN
fcis-25716	12	22	and	and	CCONJ
fcis-25716	12	23	improve	improve	VERB
fcis-25716	12	24	segmentation	segmentation	NOUN
fcis-25716	12	25	along	along	ADP
fcis-25716	12	26	polyp	polyp	NOUN
fcis-25716	12	27	boundaries	boundary	NOUN
fcis-25716	12	28	.	.	PUNCT
fcis-25716	13	1	our	our	PRON
fcis-25716	13	2	model	model	NOUN
fcis-25716	13	3	was	be	AUX
fcis-25716	13	4	trained	train	VERB
fcis-25716	13	5	on	on	ADP
fcis-25716	13	6	the	the	DET
fcis-25716	13	7	kvasir	kvasir	PROPN
fcis-25716	13	8	-	-	PUNCT
fcis-25716	13	9	seg	seg	PROPN
fcis-25716	13	10	and	and	CCONJ
fcis-25716	13	11	cvc	cvc	NOUN
fcis-25716	13	12	-	-	PUNCT
fcis-25716	13	13	clinicdb	clinicdb	NOUN
fcis-25716	13	14	datasets	dataset	NOUN
fcis-25716	13	15	,	,	PUNCT
fcis-25716	13	16	and	and	CCONJ
fcis-25716	13	17	validated	validate	VERB
fcis-25716	13	18	on	on	ADP
fcis-25716	13	19	datasets	dataset	NOUN
fcis-25716	13	20	kvasir	kvasir	PROPN
fcis-25716	13	21	-	-	PUNCT
fcis-25716	13	22	seg	seg	NOUN
fcis-25716	13	23	,	,	PUNCT
fcis-25716	13	24	cvc	cvc	NOUN
fcis-25716	13	25	-	-	PUNCT
fcis-25716	13	26	colondb	colondb	NOUN
fcis-25716	13	27	,	,	PUNCT
fcis-25716	13	28	cvc-300	cvc-300	ADJ
fcis-25716	13	29	,	,	PUNCT
fcis-25716	13	30	and	and	CCONJ
fcis-25716	13	31	etis	etis	NOUN
fcis-25716	13	32	.	.	PUNCT
fcis-25716	14	1	the	the	DET
fcis-25716	14	2	results	result	NOUN
fcis-25716	14	3	show	show	VERB
fcis-25716	14	4	that	that	SCONJ
fcis-25716	14	5	the	the	DET
fcis-25716	14	6	model	model	NOUN
fcis-25716	14	7	achieves	achieve	VERB
fcis-25716	14	8	good	good	ADJ
fcis-25716	14	9	segmentation	segmentation	NOUN
fcis-25716	14	10	accuracy	accuracy	NOUN
fcis-25716	14	11	and	and	CCONJ
fcis-25716	14	12	generalization	generalization	NOUN
fcis-25716	14	13	performance	performance	NOUN
fcis-25716	14	14	with	with	ADP
fcis-25716	14	15	a	a	DET
fcis-25716	14	16	low	low	ADJ
fcis-25716	14	17	number	number	NOUN
fcis-25716	14	18	of	of	ADP
fcis-25716	14	19	parameters	parameter	NOUN
fcis-25716	14	20	.	.	PUNCT
fcis-25716	15	1	we	we	PRON
fcis-25716	15	2	are	be	AUX
fcis-25716	15	3	6.1	6.1	NUM
fcis-25716	15	4	%	%	NOUN
fcis-25716	15	5	ahead	ahead	ADV
fcis-25716	15	6	in	in	ADP
fcis-25716	15	7	the	the	DET
fcis-25716	15	8	kavirs	kavir	NOUN
fcis-25716	15	9	-	-	PUNCT
fcis-25716	15	10	seg	seg	PROPN
fcis-25716	15	11	dataset	dataset	NOUN
fcis-25716	15	12	and	and	CCONJ
fcis-25716	15	13	3.1	3.1	NUM
fcis-25716	15	14	%	%	NOUN
fcis-25716	15	15	ahead	ahead	ADV
fcis-25716	15	16	in	in	ADP
fcis-25716	15	17	the	the	DET
fcis-25716	15	18	cvc	cvc	NOUN
fcis-25716	15	19	-	-	PUNCT
fcis-25716	15	20	clinicdb	clinicdb	NOUN
fcis-25716	15	21	dataset	dataset	NOUN
fcis-25716	15	22	compared	compare	VERB
fcis-25716	15	23	to	to	ADP
fcis-25716	15	24	vm	vm	NOUN
fcis-25716	15	25	-	-	NOUN
fcis-25716	15	26	unet	unet	NOUN
fcis-25716	15	27	.	.	PUNCT
fcis-25716	16	1	keywords	keyword	NOUN
fcis-25716	16	2	:	:	PUNCT
fcis-25716	17	1	cnn	cnn	PROPN
fcis-25716	17	2	;	;	PUNCT
fcis-25716	17	3	mamba	mamba	PROPN
fcis-25716	17	4	;	;	PUNCT
fcis-25716	17	5	medical	medical	ADJ
fcis-25716	17	6	image	image	NOUN
fcis-25716	17	7	segmentation	segmentation	NOUN
fcis-25716	17	8	;	;	PUNCT
fcis-25716	17	9	vision	vision	NOUN
fcis-25716	17	10	state	state	NOUN
fcis-25716	17	11	space	space	NOUN
fcis-25716	17	12	models	model	NOUN
fcis-25716	17	13	.	.	PUNCT
fcis-25716	18	1	1	1	X
fcis-25716	18	2	.	.	X
fcis-25716	18	3	introduction	introduction	NOUN
fcis-25716	18	4	semantic	semantic	ADJ
fcis-25716	18	5	segmentation	segmentation	NOUN
fcis-25716	18	6	is	be	AUX
fcis-25716	18	7	a	a	DET
fcis-25716	18	8	key	key	ADJ
fcis-25716	18	9	processing	processing	NOUN
fcis-25716	18	10	step	step	NOUN
fcis-25716	18	11	used	use	VERB
fcis-25716	18	12	to	to	PART
fcis-25716	18	13	determine	determine	VERB
fcis-25716	18	14	the	the	DET
fcis-25716	18	15	position	position	NOUN
fcis-25716	18	16	,	,	PUNCT
fcis-25716	18	17	shape	shape	NOUN
fcis-25716	18	18	,	,	PUNCT
fcis-25716	18	19	and	and	CCONJ
fcis-25716	18	20	size	size	NOUN
fcis-25716	18	21	of	of	ADP
fcis-25716	18	22	objects	object	NOUN
fcis-25716	18	23	in	in	ADP
fcis-25716	18	24	an	an	DET
fcis-25716	18	25	image	image	NOUN
fcis-25716	18	26	.	.	PUNCT
fcis-25716	19	1	image	image	NOUN
fcis-25716	19	2	semantic	semantic	ADJ
fcis-25716	19	3	segmentation	segmentation	NOUN
fcis-25716	19	4	is	be	AUX
fcis-25716	19	5	one	one	NUM
fcis-25716	19	6	of	of	ADP
fcis-25716	19	7	the	the	DET
fcis-25716	19	8	most	most	ADV
fcis-25716	19	9	popular	popular	ADJ
fcis-25716	19	10	research	research	NOUN
fcis-25716	19	11	topics	topic	NOUN
fcis-25716	19	12	in	in	ADP
fcis-25716	19	13	computer	computer	NOUN
fcis-25716	19	14	vision	vision	NOUN
fcis-25716	19	15	and	and	CCONJ
fcis-25716	19	16	deep	deep	ADJ
fcis-25716	19	17	learning	learning	NOUN
fcis-25716	19	18	.	.	PUNCT
fcis-25716	20	1	the	the	DET
fcis-25716	20	2	object	object	NOUN
fcis-25716	20	3	segmentation	segmentation	NOUN
fcis-25716	20	4	model	model	NOUN
fcis-25716	20	5	can	can	AUX
fcis-25716	20	6	handle	handle	VERB
fcis-25716	20	7	both	both	DET
fcis-25716	20	8	2d	2d	NUM
fcis-25716	20	9	images	image	NOUN
fcis-25716	20	10	and	and	CCONJ
fcis-25716	20	11	videos	video	NOUN
fcis-25716	20	12	,	,	PUNCT
fcis-25716	20	13	and	and	CCONJ
fcis-25716	20	14	can	can	AUX
fcis-25716	20	15	even	even	ADV
fcis-25716	20	16	be	be	AUX
fcis-25716	20	17	extended	extend	VERB
fcis-25716	20	18	to	to	ADP
fcis-25716	20	19	3d	3d	PROPN
fcis-25716	20	20	scenes	scene	NOUN
fcis-25716	20	21	.	.	PUNCT
fcis-25716	21	1	as	as	ADP
fcis-25716	21	2	a	a	DET
fcis-25716	21	3	result	result	NOUN
fcis-25716	21	4	,	,	PUNCT
fcis-25716	21	5	these	these	DET
fcis-25716	21	6	models	model	NOUN
fcis-25716	21	7	may	may	AUX
fcis-25716	21	8	appear	appear	VERB
fcis-25716	21	9	in	in	ADP
fcis-25716	21	10	different	different	ADJ
fcis-25716	21	11	practical	practical	ADJ
fcis-25716	21	12	fields	field	NOUN
fcis-25716	21	13	,	,	PUNCT
fcis-25716	21	14	such	such	ADJ
fcis-25716	21	15	as	as	ADP
fcis-25716	21	16	medical	medical	ADJ
fcis-25716	21	17	imaging	imaging	NOUN
fcis-25716	21	18	,	,	PUNCT
fcis-25716	21	19	intelligent	intelligent	ADJ
fcis-25716	21	20	transportation	transportation	NOUN
fcis-25716	21	21	,	,	PUNCT
fcis-25716	21	22	and	and	CCONJ
fcis-25716	21	23	autonomous	autonomous	ADJ
fcis-25716	21	24	driving	driving	NOUN
fcis-25716	21	25	.	.	PUNCT
fcis-25716	22	1	in	in	ADP
fcis-25716	22	2	the	the	DET
fcis-25716	22	3	field	field	NOUN
fcis-25716	22	4	of	of	ADP
fcis-25716	22	5	medicine	medicine	NOUN
fcis-25716	22	6	,	,	PUNCT
fcis-25716	22	7	semantic	semantic	ADJ
fcis-25716	22	8	segmentation	segmentation	NOUN
fcis-25716	22	9	,	,	PUNCT
fcis-25716	22	10	such	such	ADJ
fcis-25716	22	11	as	as	ADP
fcis-25716	22	12	polyp	polyp	NOUN
fcis-25716	22	13	segmentation	segmentation	NOUN
fcis-25716	22	14	,	,	PUNCT
fcis-25716	22	15	ct	ct	NUM
fcis-25716	22	16	segmentation	segmentation	NOUN
fcis-25716	22	17	,	,	PUNCT
fcis-25716	22	18	blood	blood	NOUN
fcis-25716	22	19	vessel	vessel	NOUN
fcis-25716	22	20	segmentation	segmentation	NOUN
fcis-25716	22	21	,	,	PUNCT
fcis-25716	22	22	etc	etc	X
fcis-25716	22	23	.	.	X
fcis-25716	22	24	,	,	PUNCT
fcis-25716	22	25	has	have	AUX
fcis-25716	22	26	achieved	achieve	VERB
fcis-25716	22	27	remarkable	remarkable	ADJ
fcis-25716	22	28	success	success	NOUN
fcis-25716	22	29	in	in	ADP
fcis-25716	22	30	assisting	assist	VERB
fcis-25716	22	31	healthcare	healthcare	NOUN
fcis-25716	22	32	applications	application	NOUN
fcis-25716	22	33	to	to	PART
fcis-25716	22	34	segment	segment	NOUN
fcis-25716	22	35	objects	object	NOUN
fcis-25716	22	36	such	such	ADJ
fcis-25716	22	37	as	as	ADP
fcis-25716	22	38	tumors	tumor	NOUN
fcis-25716	22	39	,	,	PUNCT
fcis-25716	22	40	cancers	cancer	NOUN
fcis-25716	22	41	,	,	PUNCT
fcis-25716	22	42	and	and	CCONJ
fcis-25716	22	43	lung	lung	PROPN
fcis-25716	22	44	cancer[1	cancer[1	PROPN
fcis-25716	22	45	]	]	X
fcis-25716	22	46	.	.	PUNCT
fcis-25716	23	1	colorectal	colorectal	ADJ
fcis-25716	23	2	cancer	cancer	NOUN
fcis-25716	23	3	(	(	PUNCT
fcis-25716	23	4	crc	crc	NOUN
fcis-25716	23	5	)	)	PUNCT
fcis-25716	23	6	is	be	AUX
fcis-25716	23	7	a	a	DET
fcis-25716	23	8	leading	lead	VERB
fcis-25716	23	9	cause	cause	NOUN
fcis-25716	23	10	of	of	ADP
fcis-25716	23	11	cancer	cancer	NOUN
fcis-25716	23	12	mortality	mortality	NOUN
fcis-25716	23	13	globally[2	globally[2	PROPN
fcis-25716	23	14	]	]	PUNCT
fcis-25716	23	15	.	.	PUNCT
fcis-25716	24	1	most	most	ADJ
fcis-25716	24	2	colorectal	colorectal	ADJ
fcis-25716	24	3	cancers	cancer	NOUN
fcis-25716	24	4	evolve	evolve	VERB
fcis-25716	24	5	from	from	ADP
fcis-25716	24	6	adenomatous	adenomatous	ADJ
fcis-25716	24	7	polyps	polyp	NOUN
fcis-25716	24	8	,	,	PUNCT
fcis-25716	24	9	making	make	VERB
fcis-25716	24	10	early	early	ADJ
fcis-25716	24	11	detection	detection	NOUN
fcis-25716	24	12	and	and	CCONJ
fcis-25716	24	13	removal	removal	NOUN
fcis-25716	24	14	of	of	ADP
fcis-25716	24	15	polyps	polyp	NOUN
fcis-25716	24	16	critical	critical	ADJ
fcis-25716	24	17	for	for	ADP
fcis-25716	24	18	crc	crc	NOUN
fcis-25716	24	19	prevention	prevention	NOUN
fcis-25716	24	20	and	and	CCONJ
fcis-25716	24	21	treatment[3	treatment[3	NOUN
fcis-25716	24	22	]	]	PUNCT
fcis-25716	24	23	.	.	PUNCT
fcis-25716	25	1	colonoscopy	colonoscopy	NOUN
fcis-25716	25	2	is	be	AUX
fcis-25716	25	3	the	the	DET
fcis-25716	25	4	gold	gold	ADJ
fcis-25716	25	5	standard	standard	NOUN
fcis-25716	25	6	for	for	ADP
fcis-25716	25	7	detecting	detect	VERB
fcis-25716	25	8	and	and	CCONJ
fcis-25716	25	9	removing	remove	VERB
fcis-25716	25	10	polyps	polyp	NOUN
fcis-25716	25	11	before	before	SCONJ
fcis-25716	25	12	they	they	PRON
fcis-25716	25	13	develop	develop	VERB
fcis-25716	25	14	into	into	ADP
fcis-25716	25	15	crc[5	crc[5	NOUN
fcis-25716	25	16	]	]	PUNCT
fcis-25716	25	17	.	.	PUNCT
fcis-25716	26	1	although	although	SCONJ
fcis-25716	26	2	colonoscopy	colonoscopy	NOUN
fcis-25716	26	3	is	be	AUX
fcis-25716	26	4	an	an	DET
fcis-25716	26	5	effective	effective	ADJ
fcis-25716	26	6	screening	screening	NOUN
fcis-25716	26	7	technique	technique	NOUN
fcis-25716	26	8	,	,	PUNCT
fcis-25716	26	9	polyps	polyp	NOUN
fcis-25716	26	10	can	can	AUX
fcis-25716	26	11	be	be	AUX
fcis-25716	26	12	visually	visually	ADV
fcis-25716	26	13	identified	identify	VERB
fcis-25716	26	14	.	.	PUNCT
fcis-25716	27	1	but	but	CCONJ
fcis-25716	27	2	due	due	ADP
fcis-25716	27	3	to	to	ADP
fcis-25716	27	4	differences	difference	NOUN
fcis-25716	27	5	in	in	ADP
fcis-25716	27	6	the	the	DET
fcis-25716	27	7	location	location	NOUN
fcis-25716	27	8	,	,	PUNCT
fcis-25716	27	9	size	size	NOUN
fcis-25716	27	10	,	,	PUNCT
fcis-25716	27	11	color	color	NOUN
fcis-25716	27	12	and	and	CCONJ
fcis-25716	27	13	texture	texture	NOUN
fcis-25716	27	14	of	of	ADP
fcis-25716	27	15	polyps	polyp	NOUN
fcis-25716	27	16	,	,	PUNCT
fcis-25716	27	17	it	it	PRON
fcis-25716	27	18	can	can	AUX
fcis-25716	27	19	be	be	AUX
fcis-25716	27	20	very	very	ADV
fcis-25716	27	21	draining	drain	VERB
fcis-25716	27	22	for	for	ADP
fcis-25716	27	23	medical	medical	ADJ
fcis-25716	27	24	professionals	professional	NOUN
fcis-25716	27	25	and	and	CCONJ
fcis-25716	27	26	can	can	AUX
fcis-25716	27	27	lead	lead	VERB
fcis-25716	27	28	to	to	ADP
fcis-25716	27	29	missed	miss	VERB
fcis-25716	27	30	or	or	CCONJ
fcis-25716	27	31	misdiagnosed	misdiagnose	VERB
fcis-25716	27	32	polyps	polyp	NOUN
fcis-25716	27	33	,	,	PUNCT
fcis-25716	27	34	which	which	PRON
fcis-25716	27	35	can	can	AUX
fcis-25716	27	36	seriously	seriously	ADV
fcis-25716	27	37	harm	harm	VERB
fcis-25716	27	38	the	the	DET
fcis-25716	27	39	patient	patient	NOUN
fcis-25716	27	40	's	's	PART
fcis-25716	27	41	health	health	NOUN
fcis-25716	27	42	.	.	PUNCT
fcis-25716	28	1	therefore	therefore	ADV
fcis-25716	28	2	,	,	PUNCT
fcis-25716	28	3	it	it	PRON
fcis-25716	28	4	is	be	AUX
fcis-25716	28	5	necessary	necessary	ADJ
fcis-25716	28	6	to	to	PART
fcis-25716	28	7	use	use	VERB
fcis-25716	28	8	image	image	NOUN
fcis-25716	28	9	segmentation	segmentation	NOUN
fcis-25716	28	10	technology	technology	NOUN
fcis-25716	28	11	to	to	PART
fcis-25716	28	12	develop	develop	VERB
fcis-25716	28	13	an	an	DET
fcis-25716	28	14	automatic	automatic	ADJ
fcis-25716	28	15	and	and	CCONJ
fcis-25716	28	16	accurate	accurate	ADJ
fcis-25716	28	17	application	application	NOUN
fcis-25716	28	18	of	of	ADP
fcis-25716	28	19	polyp	polyp	NOUN
fcis-25716	28	20	segmentation	segmentation	NOUN
fcis-25716	28	21	.	.	PUNCT
fcis-25716	29	1	machine	machine	NOUN
fcis-25716	29	2	learning	learning	NOUN
fcis-25716	29	3	(	(	PUNCT
fcis-25716	29	4	ml	ml	NOUN
fcis-25716	29	5	)	)	PUNCT
fcis-25716	29	6	algorithms	algorithm	NOUN
fcis-25716	29	7	,	,	PUNCT
fcis-25716	29	8	especially	especially	ADV
fcis-25716	29	9	convolutional	convolutional	ADJ
fcis-25716	29	10	neural	neural	ADJ
fcis-25716	29	11	networks	network	NOUN
fcis-25716	29	12	(	(	PUNCT
fcis-25716	29	13	cnns	cnns	PROPN
fcis-25716	29	14	)	)	PUNCT
fcis-25716	29	15	,	,	PUNCT
fcis-25716	29	16	have	have	AUX
fcis-25716	29	17	shown	show	VERB
fcis-25716	29	18	promising	promising	ADJ
fcis-25716	29	19	results	result	NOUN
fcis-25716	29	20	in	in	ADP
fcis-25716	29	21	medical	medical	ADJ
fcis-25716	29	22	image	image	NOUN
fcis-25716	29	23	segmentation	segmentation	NOUN
fcis-25716	29	24	and	and	CCONJ
fcis-25716	29	25	have	have	AUX
fcis-25716	29	26	been	be	AUX
fcis-25716	29	27	applied	apply	VERB
fcis-25716	29	28	to	to	ADP
fcis-25716	29	29	the	the	DET
fcis-25716	29	30	detection	detection	NOUN
fcis-25716	29	31	and	and	CCONJ
fcis-25716	29	32	segmentation	segmentation	NOUN
fcis-25716	29	33	of	of	ADP
fcis-25716	29	34	polyps	polyp	NOUN
fcis-25716	29	35	.	.	PUNCT
fcis-25716	30	1	while	while	SCONJ
fcis-25716	30	2	deep	deep	ADJ
fcis-25716	30	3	learning	learning	NOUN
fcis-25716	30	4	(	(	PUNCT
fcis-25716	30	5	dl	dl	NOUN
fcis-25716	30	6	)	)	PUNCT
fcis-25716	30	7	algorithms	algorithm	NOUN
fcis-25716	30	8	can	can	AUX
fcis-25716	30	9	achieve	achieve	VERB
fcis-25716	30	10	segmentation	segmentation	NOUN
fcis-25716	30	11	with	with	ADP
fcis-25716	30	12	high	high	ADJ
fcis-25716	30	13	accuracy	accuracy	NOUN
fcis-25716	30	14	,	,	PUNCT
fcis-25716	30	15	they	they	PRON
fcis-25716	30	16	often	often	ADV
fcis-25716	30	17	require	require	VERB
fcis-25716	30	18	large	large	ADJ
fcis-25716	30	19	amounts	amount	NOUN
fcis-25716	30	20	of	of	ADP
fcis-25716	30	21	labeled	label	VERB
fcis-25716	30	22	data	datum	NOUN
fcis-25716	30	23	,	,	PUNCT
fcis-25716	30	24	which	which	PRON
fcis-25716	30	25	can	can	AUX
fcis-25716	30	26	be	be	AUX
fcis-25716	30	27	expensive	expensive	ADJ
fcis-25716	30	28	and	and	CCONJ
fcis-25716	30	29	very	very	ADJ
fcis-25716	30	30	time	time	NOUN
fcis-25716	30	31	consuming[6	consuming[6	NOUN
fcis-25716	30	32	]	]	X
fcis-25716	30	33	.	.	PUNCT
fcis-25716	31	1	to	to	PART
fcis-25716	31	2	improve	improve	VERB
fcis-25716	31	3	the	the	DET
fcis-25716	31	4	accuracy	accuracy	NOUN
fcis-25716	31	5	and	and	CCONJ
fcis-25716	31	6	efficiency	efficiency	NOUN
fcis-25716	31	7	of	of	ADP
fcis-25716	31	8	polyp	polyp	NOUN
fcis-25716	31	9	segmentation	segmentation	NOUN
fcis-25716	31	10	,	,	PUNCT
fcis-25716	31	11	researchers	researcher	NOUN
fcis-25716	31	12	have	have	AUX
fcis-25716	31	13	developed	develop	VERB
fcis-25716	31	14	various	various	ADJ
fcis-25716	31	15	cnn	cnn	PROPN
fcis-25716	31	16	-	-	PUNCT
fcis-25716	31	17	based	base	VERB
fcis-25716	31	18	deep	deep	ADJ
fcis-25716	31	19	learning	learning	NOUN
fcis-25716	31	20	architectures	architecture	NOUN
fcis-25716	31	21	that	that	PRON
fcis-25716	31	22	employ	employ	VERB
fcis-25716	31	23	different	different	ADJ
fcis-25716	31	24	techniques	technique	NOUN
fcis-25716	31	25	to	to	PART
fcis-25716	31	26	solve	solve	VERB
fcis-25716	31	27	this	this	DET
fcis-25716	31	28	complex	complex	ADJ
fcis-25716	31	29	task	task	NOUN
fcis-25716	31	30	.	.	PUNCT
fcis-25716	32	1	deep	deep	ADJ
fcis-25716	32	2	learning	learning	NOUN
fcis-25716	32	3	architectures	architecture	NOUN
fcis-25716	32	4	for	for	ADP
fcis-25716	32	5	polyp	polyp	NOUN
fcis-25716	32	6	segmentation	segmentation	NOUN
fcis-25716	32	7	include	include	VERB
fcis-25716	32	8	u	u	NOUN
fcis-25716	32	9	-	-	NOUN
fcis-25716	32	10	net[7	net[7	PRON
fcis-25716	32	11	]	]	X
fcis-25716	32	12	,	,	PUNCT
fcis-25716	32	13	unet++[8	unet++[8	NOUN
fcis-25716	32	14	]	]	PUNCT
fcis-25716	32	15	,	,	PUNCT
fcis-25716	32	16	resunet++[9	resunet++[9	NOUN
fcis-25716	32	17	]	]	PUNCT
fcis-25716	32	18	.	.	PUNCT
fcis-25716	33	1	however	however	ADV
fcis-25716	33	2	,	,	PUNCT
fcis-25716	33	3	the	the	DET
fcis-25716	33	4	current	current	ADJ
fcis-25716	33	5	model	model	NOUN
fcis-25716	33	6	is	be	AUX
fcis-25716	33	7	still	still	ADV
fcis-25716	33	8	limited	limit	VERB
fcis-25716	33	9	by	by	ADP
fcis-25716	33	10	some	some	DET
fcis-25716	33	11	problems	problem	NOUN
fcis-25716	33	12	:	:	PUNCT
fcis-25716	33	13	first	first	ADV
fcis-25716	33	14	,	,	PUNCT
fcis-25716	33	15	the	the	DET
fcis-25716	33	16	data	data	NOUN
fcis-25716	33	17	sets	set	NOUN
fcis-25716	33	18	of	of	ADP
fcis-25716	33	19	similar	similar	ADJ
fcis-25716	33	20	polyps	polyp	NOUN
fcis-25716	33	21	have	have	VERB
fcis-25716	33	22	high	high	ADJ
fcis-25716	33	23	similarity	similarity	NOUN
fcis-25716	33	24	in	in	ADP
fcis-25716	33	25	color	color	NOUN
fcis-25716	33	26	,	,	PUNCT
fcis-25716	33	27	contour	contour	NOUN
fcis-25716	33	28	and	and	CCONJ
fcis-25716	33	29	background	background	NOUN
fcis-25716	33	30	,	,	PUNCT
fcis-25716	33	31	resulting	result	VERB
fcis-25716	33	32	in	in	ADP
fcis-25716	33	33	low	low	ADJ
fcis-25716	33	34	precision	precision	NOUN
fcis-25716	33	35	of	of	ADP
fcis-25716	33	36	polyp	polyp	NOUN
fcis-25716	33	37	boundary	boundary	ADJ
fcis-25716	33	38	model	model	NOUN
fcis-25716	33	39	segmentation	segmentation	NOUN
fcis-25716	33	40	.	.	PUNCT
fcis-25716	34	1	second	second	ADV
fcis-25716	34	2	,	,	PUNCT
fcis-25716	34	3	there	there	PRON
fcis-25716	34	4	were	be	VERB
fcis-25716	34	5	significant	significant	ADJ
fcis-25716	34	6	differences	difference	NOUN
fcis-25716	34	7	between	between	ADP
fcis-25716	34	8	the	the	DET
fcis-25716	34	9	polyp	polyp	NOUN
fcis-25716	34	10	image	image	NOUN
fcis-25716	34	11	datasets	dataset	NOUN
fcis-25716	34	12	from	from	ADP
fcis-25716	34	13	different	different	ADJ
fcis-25716	34	14	classes	class	NOUN
fcis-25716	34	15	,	,	PUNCT
fcis-25716	34	16	including	include	VERB
fcis-25716	34	17	variations	variation	NOUN
fcis-25716	34	18	in	in	ADP
fcis-25716	34	19	imaging	imaging	NOUN
fcis-25716	34	20	equipment	equipment	NOUN
fcis-25716	34	21	,	,	PUNCT
fcis-25716	34	22	lighting	lighting	NOUN
fcis-25716	34	23	environment	environment	NOUN
fcis-25716	34	24	,	,	PUNCT
fcis-25716	34	25	and	and	CCONJ
fcis-25716	34	26	image	image	NOUN
fcis-25716	34	27	type	type	NOUN
fcis-25716	34	28	,	,	PUNCT
fcis-25716	34	29	which	which	PRON
fcis-25716	34	30	limited	limit	VERB
fcis-25716	34	31	the	the	DET
fcis-25716	34	32	model	model	NOUN
fcis-25716	34	33	's	's	PART
fcis-25716	34	34	ability	ability	NOUN
fcis-25716	34	35	to	to	PART
fcis-25716	34	36	generalize[10	generalize[10	VERB
fcis-25716	34	37	]	]	PUNCT
fcis-25716	34	38	.	.	PUNCT
fcis-25716	35	1	later	later	ADV
fcis-25716	35	2	,	,	PUNCT
fcis-25716	35	3	transformer[11	transformer[11	PRON
fcis-25716	35	4	]	]	PUNCT
fcis-25716	35	5	began	begin	VERB
fcis-25716	35	6	to	to	PART
fcis-25716	35	7	be	be	AUX
fcis-25716	35	8	applied	apply	VERB
fcis-25716	35	9	from	from	ADP
fcis-25716	35	10	natural	natural	ADJ
fcis-25716	35	11	language	language	NOUN
fcis-25716	35	12	processing	processing	NOUN
fcis-25716	35	13	(	(	PUNCT
fcis-25716	35	14	nlp	nlp	NOUN
fcis-25716	35	15	)	)	PUNCT
fcis-25716	35	16	to	to	PART
fcis-25716	35	17	computer	computer	VERB
fcis-25716	35	18	vision	vision	NOUN
fcis-25716	35	19	(	(	PUNCT
fcis-25716	35	20	cv	cv	PROPN
fcis-25716	35	21	)	)	PUNCT
fcis-25716	35	22	.	.	PUNCT
fcis-25716	36	1	visual	visual	ADJ
fcis-25716	36	2	transformer	transformer	NOUN
fcis-25716	36	3	(	(	PUNCT
fcis-25716	36	4	vit)[12	vit)[12	PROPN
fcis-25716	36	5	]	]	X
fcis-25716	36	6	is	be	AUX
fcis-25716	36	7	a	a	DET
fcis-25716	36	8	model	model	NOUN
fcis-25716	36	9	proposed	propose	VERB
fcis-25716	36	10	by	by	ADP
fcis-25716	36	11	google	google	PROPN
fcis-25716	36	12	team	team	NOUN
fcis-25716	36	13	in	in	ADP
fcis-25716	36	14	2020	2020	NUM
fcis-25716	36	15	to	to	PART
fcis-25716	36	16	apply	apply	VERB
fcis-25716	36	17	transformer	transformer	NOUN
fcis-25716	36	18	to	to	ADP
fcis-25716	36	19	image	image	NOUN
fcis-25716	36	20	classification	classification	NOUN
fcis-25716	36	21	.	.	PUNCT
fcis-25716	37	1	the	the	DET
fcis-25716	37	2	model	model	NOUN
fcis-25716	37	3	based	base	VERB
fcis-25716	37	4	on	on	ADP
fcis-25716	37	5	vit	vit	PROPN
fcis-25716	37	6	has	have	AUX
fcis-25716	37	7	also	also	ADV
fcis-25716	37	8	achieved	achieve	VERB
fcis-25716	37	9	very	very	ADV
fcis-25716	37	10	good	good	ADJ
fcis-25716	37	11	results	result	NOUN
fcis-25716	37	12	in	in	ADP
fcis-25716	37	13	the	the	DET
fcis-25716	37	14	field	field	NOUN
fcis-25716	37	15	of	of	ADP
fcis-25716	37	16	polyp	polyp	NOUN
fcis-25716	37	17	segmentation	segmentation	NOUN
fcis-25716	37	18	.	.	PUNCT
fcis-25716	38	1	for	for	ADP
fcis-25716	38	2	example	example	NOUN
fcis-25716	38	3	,	,	PUNCT
fcis-25716	38	4	transunet	transunet	PROPN
fcis-25716	38	5	was	be	AUX
fcis-25716	38	6	the	the	DET
fcis-25716	38	7	first	first	ADJ
fcis-25716	38	8	model	model	NOUN
fcis-25716	38	9	to	to	PART
fcis-25716	38	10	use	use	VERB
fcis-25716	38	11	a	a	DET
fcis-25716	38	12	vit	vit	NOUN
fcis-25716	38	13	.	.	PUNCT
fcis-25716	39	1	it	it	PRON
fcis-25716	39	2	is	be	AUX
fcis-25716	39	3	used	use	VERB
fcis-25716	39	4	for	for	ADP
fcis-25716	39	5	feature	feature	NOUN
fcis-25716	39	6	extraction	extraction	NOUN
fcis-25716	39	7	in	in	ADP
fcis-25716	39	8	the	the	DET
fcis-25716	39	9	encoding	encoding	NOUN
fcis-25716	39	10	phase	phase	NOUN
fcis-25716	39	11	and	and	CCONJ
fcis-25716	39	12	cnn	cnn	PROPN
fcis-25716	39	13	in	in	ADP
fcis-25716	39	14	the	the	DET
fcis-25716	39	15	decoding	decode	VERB
fcis-25716	39	16	phase	phase	NOUN
fcis-25716	39	17	,	,	PUNCT
fcis-25716	39	18	showing	show	VERB
fcis-25716	39	19	strong	strong	ADJ
fcis-25716	39	20	global	global	ADJ
fcis-25716	39	21	information	information	NOUN
fcis-25716	39	22	acquisition	acquisition	NOUN
fcis-25716	39	23	capability	capability	NOUN
fcis-25716	39	24	.	.	PUNCT
fcis-25716	40	1	although	although	SCONJ
fcis-25716	40	2	cnn	cnn	PROPN
fcis-25716	40	3	and	and	CCONJ
fcis-25716	40	4	transformer	transformer	NOUN
fcis-25716	40	5	based	base	VERB
fcis-25716	40	6	methods	method	NOUN
fcis-25716	40	7	can	can	AUX
fcis-25716	40	8	obtain	obtain	VERB
fcis-25716	40	9	accurate	accurate	ADJ
fcis-25716	40	10	segmentation	segmentation	NOUN
fcis-25716	40	11	results	result	NOUN
fcis-25716	40	12	,	,	PUNCT
fcis-25716	40	13	they	they	PRON
fcis-25716	40	14	require	require	VERB
fcis-25716	40	15	a	a	DET
fcis-25716	40	16	large	large	ADJ
fcis-25716	40	17	number	number	NOUN
fcis-25716	40	18	of	of	ADP
fcis-25716	40	19	parameters	parameter	NOUN
fcis-25716	40	20	and	and	CCONJ
fcis-25716	40	21	consume	consume	VERB
fcis-25716	40	22	a	a	DET
fcis-25716	40	23	lot	lot	NOUN
fcis-25716	40	24	of	of	ADP
fcis-25716	40	25	computing	compute	VERB
fcis-25716	40	26	resources	resource	NOUN
fcis-25716	40	27	.	.	PUNCT
fcis-25716	41	1	in	in	ADP
fcis-25716	41	2	recent	recent	ADJ
fcis-25716	41	3	years	year	NOUN
fcis-25716	41	4	,	,	PUNCT
fcis-25716	41	5	the	the	DET
fcis-25716	41	6	33	33	NUM
fcis-25716	41	7	state	state	NOUN
fcis-25716	41	8	space	space	NOUN
fcis-25716	41	9	model[13	model[13	PROPN
fcis-25716	41	10	]	]	PUNCT
fcis-25716	41	11	(	(	PUNCT
fcis-25716	41	12	ssm	ssm	NOUN
fcis-25716	41	13	)	)	PUNCT
fcis-25716	41	14	has	have	AUX
fcis-25716	41	15	attracted	attract	VERB
fcis-25716	41	16	great	great	ADJ
fcis-25716	41	17	interest	interest	NOUN
fcis-25716	41	18	from	from	ADP
fcis-25716	41	19	researchers	researcher	NOUN
fcis-25716	41	20	.	.	PUNCT
fcis-25716	42	1	on	on	ADP
fcis-25716	42	2	the	the	DET
fcis-25716	42	3	basis	basis	NOUN
fcis-25716	42	4	of	of	ADP
fcis-25716	42	5	classical	classical	ADJ
fcis-25716	42	6	ssm	ssm	PROPN
fcis-25716	42	7	research	research	NOUN
fcis-25716	42	8	,	,	PUNCT
fcis-25716	42	9	modern	modern	ADJ
fcis-25716	42	10	ssm	ssm	PROPN
fcis-25716	42	11	models	model	NOUN
fcis-25716	42	12	such	such	ADJ
fcis-25716	42	13	as	as	ADP
fcis-25716	42	14	mamba[14	mamba[14	NOUN
fcis-25716	42	15	]	]	PUNCT
fcis-25716	42	16	not	not	PART
fcis-25716	42	17	only	only	ADV
fcis-25716	42	18	establish	establish	VERB
fcis-25716	42	19	long	long	ADJ
fcis-25716	42	20	-	-	PUNCT
fcis-25716	42	21	distance	distance	NOUN
fcis-25716	42	22	dependence	dependence	NOUN
fcis-25716	42	23	,	,	PUNCT
fcis-25716	42	24	but	but	CCONJ
fcis-25716	42	25	also	also	ADV
fcis-25716	42	26	show	show	VERB
fcis-25716	42	27	linear	linear	ADJ
fcis-25716	42	28	complexity	complexity	NOUN
fcis-25716	42	29	of	of	ADP
fcis-25716	42	30	input	input	NOUN
fcis-25716	42	31	size	size	NOUN
fcis-25716	42	32	.	.	PUNCT
fcis-25716	43	1	in	in	ADP
fcis-25716	43	2	addition	addition	NOUN
fcis-25716	43	3	,	,	PUNCT
fcis-25716	43	4	ssm	ssm	NOUN
fcis-25716	43	5	-	-	PUNCT
fcis-25716	43	6	based	base	VERB
fcis-25716	43	7	models	model	NOUN
fcis-25716	43	8	have	have	AUX
fcis-25716	43	9	been	be	AUX
fcis-25716	43	10	extensively	extensively	ADV
fcis-25716	43	11	studied	study	VERB
fcis-25716	43	12	in	in	ADP
fcis-25716	43	13	many	many	ADJ
fcis-25716	43	14	fields	field	NOUN
fcis-25716	43	15	,	,	PUNCT
fcis-25716	43	16	including	include	VERB
fcis-25716	43	17	language	language	NOUN
fcis-25716	43	18	understanding	understanding	NOUN
fcis-25716	43	19	,	,	PUNCT
fcis-25716	43	20	general	general	ADJ
fcis-25716	43	21	vision	vision	NOUN
fcis-25716	43	22	,	,	PUNCT
fcis-25716	43	23	and	and	CCONJ
fcis-25716	43	24	so	so	ADV
fcis-25716	43	25	on	on	ADV
fcis-25716	43	26	.	.	PUNCT
fcis-25716	44	1	influenced	influence	VERB
fcis-25716	44	2	by	by	ADP
fcis-25716	44	3	the	the	DET
fcis-25716	44	4	success	success	NOUN
fcis-25716	44	5	of	of	ADP
fcis-25716	44	6	vmamba[15	vmamba[15	NOUN
fcis-25716	44	7	]	]	PUNCT
fcis-25716	44	8	in	in	ADP
fcis-25716	44	9	image	image	NOUN
fcis-25716	44	10	classification	classification	NOUN
fcis-25716	44	11	tasks	task	NOUN
fcis-25716	44	12	,	,	PUNCT
fcis-25716	44	13	ruan	ruan	NOUN
fcis-25716	44	14	et	et	NOUN
fcis-25716	44	15	al.[16	al.[16	PROPN
fcis-25716	44	16	]	]	PUNCT
fcis-25716	44	17	proposed	propose	VERB
fcis-25716	44	18	a	a	DET
fcis-25716	44	19	vm	vm	NOUN
fcis-25716	44	20	-	-	ADJ
fcis-25716	44	21	unet	unet	NOUN
fcis-25716	44	22	model	model	NOUN
fcis-25716	44	23	based	base	VERB
fcis-25716	44	24	on	on	ADP
fcis-25716	44	25	vmamba	vmamba	ADV
fcis-25716	44	26	.	.	PUNCT
fcis-25716	45	1	this	this	PRON
fcis-25716	45	2	is	be	AUX
fcis-25716	45	3	a	a	DET
fcis-25716	45	4	pure	pure	ADJ
fcis-25716	45	5	ssm	ssm	NOUN
fcis-25716	45	6	-	-	PUNCT
fcis-25716	45	7	based	base	VERB
fcis-25716	45	8	model	model	NOUN
fcis-25716	45	9	whose	whose	DET
fcis-25716	45	10	encoder	encoder	NOUN
fcis-25716	45	11	consists	consist	VERB
fcis-25716	45	12	of	of	ADP
fcis-25716	45	13	a	a	DET
fcis-25716	45	14	vss	vss	NOUN
fcis-25716	45	15	block	block	NOUN
fcis-25716	45	16	in	in	ADP
fcis-25716	45	17	vmamba	vmamba	NOUN
fcis-25716	45	18	for	for	ADP
fcis-25716	45	19	feature	feature	NOUN
fcis-25716	45	20	extraction	extraction	NOUN
fcis-25716	45	21	and	and	CCONJ
fcis-25716	45	22	a	a	DET
fcis-25716	45	23	patch	patch	NOUN
fcis-25716	45	24	merge	merge	NOUN
fcis-25716	45	25	operation	operation	NOUN
fcis-25716	45	26	for	for	ADP
fcis-25716	45	27	downsampling	downsample	VERB
fcis-25716	45	28	.	.	PUNCT
fcis-25716	46	1	the	the	DET
fcis-25716	46	2	decoder	decoder	NOUN
fcis-25716	46	3	includes	include	VERB
fcis-25716	46	4	vss	vss	NOUN
fcis-25716	46	5	block	block	NOUN
fcis-25716	46	6	and	and	CCONJ
fcis-25716	46	7	patch	patch	NOUN
fcis-25716	46	8	extension	extension	NOUN
fcis-25716	46	9	operations	operation	NOUN
fcis-25716	46	10	to	to	PART
fcis-25716	46	11	restore	restore	VERB
fcis-25716	46	12	the	the	DET
fcis-25716	46	13	size	size	NOUN
fcis-25716	46	14	of	of	ADP
fcis-25716	46	15	the	the	DET
fcis-25716	46	16	split	split	NOUN
fcis-25716	46	17	result	result	NOUN
fcis-25716	46	18	.	.	PUNCT
fcis-25716	47	1	based	base	VERB
fcis-25716	47	2	on	on	ADP
fcis-25716	47	3	the	the	DET
fcis-25716	47	4	above	above	ADJ
fcis-25716	47	5	work	work	NOUN
fcis-25716	47	6	,	,	PUNCT
fcis-25716	47	7	we	we	PRON
fcis-25716	47	8	propose	propose	VERB
fcis-25716	47	9	dcss	dcss	ADJ
fcis-25716	47	10	unet	unet	NOUN
fcis-25716	47	11	,	,	PUNCT
fcis-25716	47	12	which	which	PRON
fcis-25716	47	13	uses	use	VERB
fcis-25716	47	14	mamba	mamba	NOUN
fcis-25716	47	15	encoder	encoder	NOUN
fcis-25716	47	16	as	as	ADP
fcis-25716	47	17	the	the	DET
fcis-25716	47	18	backbone	backbone	NOUN
fcis-25716	47	19	,	,	PUNCT
fcis-25716	47	20	uses	use	VERB
fcis-25716	47	21	spatial	spatial	ADJ
fcis-25716	47	22	and	and	CCONJ
fcis-25716	47	23	channel	channel	VERB
fcis-25716	47	24	attention	attention	NOUN
fcis-25716	47	25	to	to	PART
fcis-25716	47	26	extract	extract	VERB
fcis-25716	47	27	high	high	ADJ
fcis-25716	47	28	-	-	PUNCT
fcis-25716	47	29	level	level	NOUN
fcis-25716	47	30	and	and	CCONJ
fcis-25716	47	31	low	low	ADJ
fcis-25716	47	32	-	-	PUNCT
fcis-25716	47	33	level	level	NOUN
fcis-25716	47	34	features	feature	NOUN
fcis-25716	47	35	,	,	PUNCT
fcis-25716	47	36	and	and	CCONJ
fcis-25716	47	37	uses	use	VERB
fcis-25716	47	38	bitemporal	bitemporal	ADJ
fcis-25716	47	39	features	feature	NOUN
fcis-25716	47	40	for	for	ADP
fcis-25716	47	41	fusion	fusion	NOUN
fcis-25716	47	42	.	.	PUNCT
fcis-25716	48	1	we	we	PRON
fcis-25716	48	2	have	have	AUX
fcis-25716	48	3	tested	test	VERB
fcis-25716	48	4	on	on	ADP
fcis-25716	48	5	multiple	multiple	ADJ
fcis-25716	48	6	datasets	dataset	NOUN
fcis-25716	48	7	and	and	CCONJ
fcis-25716	48	8	achieved	achieve	VERB
fcis-25716	48	9	excellent	excellent	ADJ
fcis-25716	48	10	results	result	NOUN
fcis-25716	48	11	with	with	ADP
fcis-25716	48	12	low	low	ADJ
fcis-25716	48	13	reference	reference	NOUN
fcis-25716	48	14	counts	count	NOUN
fcis-25716	48	15	.	.	PUNCT
fcis-25716	49	1	our	our	PRON
fcis-25716	49	2	key	key	ADJ
fcis-25716	49	3	contributions	contribution	NOUN
fcis-25716	49	4	include	include	VERB
fcis-25716	49	5	:	:	PUNCT
fcis-25716	49	6	1	1	X
fcis-25716	49	7	)	)	PUNCT
fcis-25716	49	8	we	we	PRON
fcis-25716	49	9	propose	propose	VERB
fcis-25716	49	10	dcss	dcss	ADJ
fcis-25716	49	11	unet	unet	NOUN
fcis-25716	49	12	,	,	PUNCT
fcis-25716	49	13	which	which	PRON
fcis-25716	49	14	is	be	AUX
fcis-25716	49	15	a	a	DET
fcis-25716	49	16	potential	potential	ADJ
fcis-25716	49	17	application	application	NOUN
fcis-25716	49	18	of	of	ADP
fcis-25716	49	19	the	the	DET
fcis-25716	49	20	ssm	ssm	NOUN
fcis-25716	49	21	-	-	PUNCT
fcis-25716	49	22	based	base	VERB
fcis-25716	49	23	model	model	NOUN
fcis-25716	49	24	in	in	ADP
fcis-25716	49	25	medical	medical	ADJ
fcis-25716	49	26	image	image	NOUN
fcis-25716	49	27	segmentation	segmentation	NOUN
fcis-25716	49	28	.	.	PUNCT
fcis-25716	50	1	2	2	X
fcis-25716	50	2	)	)	PUNCT
fcis-25716	50	3	we	we	PRON
fcis-25716	50	4	propose	propose	VERB
fcis-25716	50	5	an	an	DET
fcis-25716	50	6	improved	improve	VERB
fcis-25716	50	7	skip	skip	ADJ
fcis-25716	50	8	connection	connection	NOUN
fcis-25716	50	9	module	module	NOUN
fcis-25716	50	10	sfa	sfa	PROPN
fcis-25716	50	11	to	to	PART
fcis-25716	50	12	improve	improve	VERB
fcis-25716	50	13	model	model	NOUN
fcis-25716	50	14	performance	performance	NOUN
fcis-25716	50	15	through	through	ADP
fcis-25716	50	16	attention	attention	NOUN
fcis-25716	50	17	mechanism	mechanism	NOUN
fcis-25716	50	18	.	.	PUNCT
fcis-25716	51	1	3	3	X
fcis-25716	51	2	)	)	PUNCT
fcis-25716	51	3	a	a	DET
fcis-25716	51	4	new	new	ADJ
fcis-25716	51	5	feature	feature	NOUN
fcis-25716	51	6	fusion	fusion	NOUN
fcis-25716	51	7	module	module	NOUN
fcis-25716	51	8	tfam	tfam	NOUN
fcis-25716	51	9	is	be	AUX
fcis-25716	51	10	introduced	introduce	VERB
fcis-25716	51	11	to	to	PART
fcis-25716	51	12	improve	improve	VERB
fcis-25716	51	13	the	the	DET
fcis-25716	51	14	performance	performance	NOUN
fcis-25716	51	15	of	of	ADP
fcis-25716	51	16	the	the	DET
fcis-25716	51	17	decoder	decoder	NOUN
fcis-25716	51	18	structure	structure	NOUN
fcis-25716	51	19	4	4	NUM
fcis-25716	51	20	)	)	PUNCT
fcis-25716	51	21	we	we	PRON
fcis-25716	51	22	combine	combine	VERB
fcis-25716	51	23	the	the	DET
fcis-25716	51	24	structure	structure	NOUN
fcis-25716	51	25	of	of	ADP
fcis-25716	51	26	unet	unet	NOUN
fcis-25716	51	27	in	in	ADP
fcis-25716	51	28	the	the	DET
fcis-25716	51	29	decoder	decoder	NOUN
fcis-25716	51	30	part	part	NOUN
fcis-25716	51	31	,	,	PUNCT
fcis-25716	51	32	and	and	CCONJ
fcis-25716	51	33	combine	combine	VERB
fcis-25716	51	34	the	the	DET
fcis-25716	51	35	ssm	ssm	PROPN
fcis-25716	51	36	model	model	NOUN
fcis-25716	51	37	with	with	ADP
fcis-25716	51	38	cnn	cnn	PROPN
fcis-25716	51	39	.	.	PUNCT
fcis-25716	52	1	2	2	X
fcis-25716	52	2	.	.	X
fcis-25716	52	3	related	relate	VERB
fcis-25716	52	4	work	work	NOUN
fcis-25716	52	5	in	in	ADP
fcis-25716	52	6	the	the	DET
fcis-25716	52	7	past	past	ADJ
fcis-25716	52	8	decade	decade	NOUN
fcis-25716	52	9	,	,	PUNCT
fcis-25716	52	10	with	with	ADP
fcis-25716	52	11	the	the	DET
fcis-25716	52	12	rapid	rapid	ADJ
fcis-25716	52	13	development	development	NOUN
fcis-25716	52	14	of	of	ADP
fcis-25716	52	15	computing	computing	NOUN
fcis-25716	52	16	power	power	NOUN
fcis-25716	52	17	,	,	PUNCT
fcis-25716	52	18	researchers	researcher	NOUN
fcis-25716	52	19	have	have	AUX
fcis-25716	52	20	invested	invest	VERB
fcis-25716	52	21	a	a	DET
fcis-25716	52	22	lot	lot	NOUN
fcis-25716	52	23	of	of	ADP
fcis-25716	52	24	energy	energy	NOUN
fcis-25716	52	25	in	in	ADP
fcis-25716	52	26	establishing	establish	VERB
fcis-25716	52	27	various	various	ADJ
fcis-25716	52	28	computer	computer	NOUN
fcis-25716	52	29	-	-	PUNCT
fcis-25716	52	30	assisted	assist	VERB
fcis-25716	52	31	clinical	clinical	ADJ
fcis-25716	52	32	support	support	NOUN
fcis-25716	52	33	systems	system	NOUN
fcis-25716	52	34	.	.	PUNCT
fcis-25716	53	1	in	in	ADP
fcis-25716	53	2	terms	term	NOUN
fcis-25716	53	3	of	of	ADP
fcis-25716	53	4	polyp	polyp	NOUN
fcis-25716	53	5	segmentation	segmentation	NOUN
fcis-25716	53	6	,	,	PUNCT
fcis-25716	53	7	accurate	accurate	ADJ
fcis-25716	53	8	polyp	polyp	NOUN
fcis-25716	53	9	segmentation	segmentation	NOUN
fcis-25716	53	10	is	be	AUX
fcis-25716	53	11	crucial	crucial	ADJ
fcis-25716	53	12	for	for	ADP
fcis-25716	53	13	cancer	cancer	NOUN
fcis-25716	53	14	prevention	prevention	NOUN
fcis-25716	53	15	and	and	CCONJ
fcis-25716	53	16	early	early	ADJ
fcis-25716	53	17	screening	screening	NOUN
fcis-25716	53	18	.	.	PUNCT
fcis-25716	54	1	for	for	ADP
fcis-25716	54	2	high	high	ADJ
fcis-25716	54	3	-	-	PUNCT
fcis-25716	54	4	risk	risk	NOUN
fcis-25716	54	5	polyps	polyp	NOUN
fcis-25716	54	6	,	,	PUNCT
fcis-25716	54	7	medical	medical	ADJ
fcis-25716	54	8	image	image	NOUN
fcis-25716	54	9	segmentation	segmentation	NOUN
fcis-25716	54	10	is	be	AUX
fcis-25716	54	11	needed	need	VERB
fcis-25716	54	12	to	to	PART
fcis-25716	54	13	accurately	accurately	ADV
fcis-25716	54	14	formulate	formulate	VERB
fcis-25716	54	15	preoperative	preoperative	ADJ
fcis-25716	54	16	plans	plan	NOUN
fcis-25716	54	17	and	and	CCONJ
fcis-25716	54	18	determine	determine	VERB
fcis-25716	54	19	the	the	DET
fcis-25716	54	20	most	most	ADV
fcis-25716	54	21	appropriate	appropriate	ADJ
fcis-25716	54	22	surgical	surgical	ADJ
fcis-25716	54	23	methods	method	NOUN
fcis-25716	54	24	and	and	CCONJ
fcis-25716	54	25	treatment	treatment	NOUN
fcis-25716	54	26	strategies	strategy	NOUN
fcis-25716	54	27	.	.	PUNCT
fcis-25716	55	1	at	at	ADP
fcis-25716	55	2	present	present	ADJ
fcis-25716	55	3	,	,	PUNCT
fcis-25716	55	4	the	the	DET
fcis-25716	55	5	mainstream	mainstream	ADJ
fcis-25716	55	6	medical	medical	ADJ
fcis-25716	55	7	image	image	NOUN
fcis-25716	55	8	segmentation	segmentation	NOUN
fcis-25716	55	9	task	task	NOUN
fcis-25716	55	10	usually	usually	ADV
fcis-25716	55	11	adopts	adopt	VERB
fcis-25716	55	12	convolutional	convolutional	ADJ
fcis-25716	55	13	neural	neural	ADJ
fcis-25716	55	14	network	network	NOUN
fcis-25716	55	15	(	(	PUNCT
fcis-25716	55	16	cnn	cnn	PROPN
fcis-25716	55	17	)	)	PUNCT
fcis-25716	55	18	,	,	PUNCT
fcis-25716	55	19	and	and	CCONJ
fcis-25716	55	20	some	some	DET
fcis-25716	55	21	widely	widely	ADV
fcis-25716	55	22	used	use	VERB
fcis-25716	55	23	architectures	architecture	NOUN
fcis-25716	55	24	have	have	AUX
fcis-25716	55	25	been	be	AUX
fcis-25716	55	26	applied	apply	VERB
fcis-25716	55	27	to	to	ADP
fcis-25716	55	28	polyp	polyp	NOUN
fcis-25716	55	29	segmentation	segmentation	NOUN
fcis-25716	55	30	.	.	PUNCT
fcis-25716	56	1	one	one	NUM
fcis-25716	56	2	such	such	ADJ
fcis-25716	56	3	architecture	architecture	NOUN
fcis-25716	56	4	is	be	AUX
fcis-25716	56	5	u	u	NOUN
fcis-25716	56	6	-	-	NOUN
fcis-25716	56	7	net[7	net[7	PRON
fcis-25716	56	8	]	]	X
fcis-25716	56	9	,	,	PUNCT
fcis-25716	56	10	an	an	DET
fcis-25716	56	11	encoderdecoder	encoderdecoder	NOUN
fcis-25716	56	12	model	model	NOUN
fcis-25716	56	13	originally	originally	ADV
fcis-25716	56	14	developed	develop	VERB
fcis-25716	56	15	for	for	ADP
fcis-25716	56	16	biomedical	biomedical	ADJ
fcis-25716	56	17	image	image	NOUN
fcis-25716	56	18	segmentation	segmentation	NOUN
fcis-25716	56	19	.	.	PUNCT
fcis-25716	57	1	u	u	NOUN
fcis-25716	57	2	-	-	NOUN
fcis-25716	57	3	net[7	net[7	X
fcis-25716	57	4	]	]	PUNCT
fcis-25716	57	5	has	have	VERB
fcis-25716	57	6	the	the	DET
fcis-25716	57	7	advantages	advantage	NOUN
fcis-25716	57	8	of	of	ADP
fcis-25716	57	9	relative	relative	ADJ
fcis-25716	57	10	simplicity	simplicity	NOUN
fcis-25716	57	11	and	and	CCONJ
fcis-25716	57	12	efficiency	efficiency	NOUN
fcis-25716	57	13	,	,	PUNCT
fcis-25716	57	14	and	and	CCONJ
fcis-25716	57	15	still	still	ADV
fcis-25716	57	16	has	have	VERB
fcis-25716	57	17	good	good	ADJ
fcis-25716	57	18	performance	performance	NOUN
fcis-25716	57	19	on	on	ADP
fcis-25716	57	20	various	various	ADJ
fcis-25716	57	21	medical	medical	ADJ
fcis-25716	57	22	image	image	NOUN
fcis-25716	57	23	segmentation	segmentation	NOUN
fcis-25716	57	24	tasks	task	NOUN
fcis-25716	57	25	.	.	PUNCT
fcis-25716	58	1	in	in	ADP
fcis-25716	58	2	2020	2020	NUM
fcis-25716	58	3	,	,	PUNCT
fcis-25716	58	4	pratnet[17	pratnet[17	PROPN
fcis-25716	58	5	]	]	PUNCT
fcis-25716	58	6	was	be	AUX
fcis-25716	58	7	proposed	propose	VERB
fcis-25716	58	8	by	by	ADP
fcis-25716	58	9	fan	fan	PROPN
fcis-25716	58	10	,	,	PUNCT
fcis-25716	58	11	deng	deng	PROPN
fcis-25716	58	12	-	-	PUNCT
fcis-25716	58	13	ping	ping	PROPN
fcis-25716	58	14	,	,	PUNCT
fcis-25716	58	15	et	et	PROPN
fcis-25716	58	16	al	al	PROPN
fcis-25716	58	17	.	.	PUNCT
fcis-25716	59	1	this	this	PRON
fcis-25716	59	2	is	be	AUX
fcis-25716	59	3	a	a	DET
fcis-25716	59	4	cnn	cnn	PROPN
fcis-25716	59	5	architecture	architecture	NOUN
fcis-25716	59	6	specifically	specifically	ADV
fcis-25716	59	7	designed	design	VERB
fcis-25716	59	8	for	for	ADP
fcis-25716	59	9	automatic	automatic	ADJ
fcis-25716	59	10	polyp	polyp	NOUN
fcis-25716	59	11	segmentation	segmentation	NOUN
fcis-25716	59	12	in	in	ADP
fcis-25716	59	13	colonoscopy	colonoscopy	NOUN
fcis-25716	59	14	images	image	NOUN
fcis-25716	59	15	.	.	PUNCT
fcis-25716	60	1	it	it	PRON
fcis-25716	60	2	uses	use	VERB
fcis-25716	60	3	a	a	DET
fcis-25716	60	4	parallel	parallel	ADJ
fcis-25716	60	5	partial	partial	ADJ
fcis-25716	60	6	decoder	decoder	NOUN
fcis-25716	60	7	to	to	PART
fcis-25716	60	8	extract	extract	VERB
fcis-25716	60	9	high	high	ADJ
fcis-25716	60	10	-	-	PUNCT
fcis-25716	60	11	level	level	NOUN
fcis-25716	60	12	features	feature	NOUN
fcis-25716	60	13	from	from	ADP
fcis-25716	60	14	images	image	NOUN
fcis-25716	60	15	and	and	CCONJ
fcis-25716	60	16	generate	generate	VERB
fcis-25716	60	17	a	a	DET
fcis-25716	60	18	global	global	ADJ
fcis-25716	60	19	map	map	NOUN
fcis-25716	60	20	as	as	ADP
fcis-25716	60	21	a	a	DET
fcis-25716	60	22	preliminary	preliminary	ADJ
fcis-25716	60	23	guide	guide	NOUN
fcis-25716	60	24	for	for	ADP
fcis-25716	60	25	the	the	DET
fcis-25716	60	26	following	follow	VERB
fcis-25716	60	27	processing	processing	NOUN
fcis-25716	60	28	steps	step	NOUN
fcis-25716	60	29	.	.	PUNCT
fcis-25716	61	1	the	the	DET
fcis-25716	61	2	boundary	boundary	ADJ
fcis-25716	61	3	clues	clue	NOUN
fcis-25716	61	4	are	be	AUX
fcis-25716	61	5	mined	mine	VERB
fcis-25716	61	6	by	by	ADP
fcis-25716	61	7	the	the	DET
fcis-25716	61	8	reverse	reverse	ADJ
fcis-25716	61	9	attention	attention	NOUN
fcis-25716	61	10	module	module	NOUN
fcis-25716	61	11	,	,	PUNCT
fcis-25716	61	12	and	and	CCONJ
fcis-25716	61	13	the	the	DET
fcis-25716	61	14	relationship	relationship	NOUN
fcis-25716	61	15	between	between	ADP
fcis-25716	61	16	different	different	ADJ
fcis-25716	61	17	regions	region	NOUN
fcis-25716	61	18	and	and	CCONJ
fcis-25716	61	19	the	the	DET
fcis-25716	61	20	boundary	boundary	NOUN
fcis-25716	61	21	of	of	ADP
fcis-25716	61	22	the	the	DET
fcis-25716	61	23	image	image	NOUN
fcis-25716	61	24	is	be	AUX
fcis-25716	61	25	established	establish	VERB
fcis-25716	61	26	.	.	PUNCT
fcis-25716	62	1	the	the	DET
fcis-25716	62	2	above	above	ADJ
fcis-25716	62	3	studies	study	NOUN
fcis-25716	62	4	do	do	AUX
fcis-25716	62	5	not	not	PART
fcis-25716	62	6	effectively	effectively	ADV
fcis-25716	62	7	balance	balance	VERB
fcis-25716	62	8	the	the	DET
fcis-25716	62	9	challenges	challenge	NOUN
fcis-25716	62	10	of	of	ADP
fcis-25716	62	11	achieving	achieve	VERB
fcis-25716	62	12	high	high	ADJ
fcis-25716	62	13	accuracy	accuracy	NOUN
fcis-25716	62	14	and	and	CCONJ
fcis-25716	62	15	generalization	generalization	NOUN
fcis-25716	62	16	in	in	ADP
fcis-25716	62	17	polyp	polyp	NOUN
fcis-25716	62	18	segmentation	segmentation	NOUN
fcis-25716	62	19	.	.	PUNCT
fcis-25716	63	1	in	in	ADP
fcis-25716	63	2	2018	2018	NUM
fcis-25716	63	3	,	,	PUNCT
fcis-25716	63	4	with	with	ADP
fcis-25716	63	5	the	the	DET
fcis-25716	63	6	introduction	introduction	NOUN
fcis-25716	63	7	of	of	ADP
fcis-25716	63	8	transformer	transformer	NOUN
fcis-25716	63	9	,	,	PUNCT
fcis-25716	63	10	many	many	ADJ
fcis-25716	63	11	excellent	excellent	ADJ
fcis-25716	63	12	models	model	NOUN
fcis-25716	63	13	have	have	AUX
fcis-25716	63	14	also	also	ADV
fcis-25716	63	15	been	be	AUX
fcis-25716	63	16	proposed	propose	VERB
fcis-25716	63	17	in	in	ADP
fcis-25716	63	18	the	the	DET
fcis-25716	63	19	aspect	aspect	NOUN
fcis-25716	63	20	of	of	ADP
fcis-25716	63	21	polyp	polyp	NOUN
fcis-25716	63	22	segmentation	segmentation	NOUN
fcis-25716	63	23	,	,	PUNCT
fcis-25716	63	24	such	such	ADJ
fcis-25716	63	25	as	as	ADP
fcis-25716	63	26	transunet[18	transunet[18	PROPN
fcis-25716	63	27	]	]	PUNCT
fcis-25716	63	28	and	and	CCONJ
fcis-25716	63	29	swinunet[19	swinunet[19	NOUN
fcis-25716	63	30	]	]	PUNCT
fcis-25716	63	31	.	.	PUNCT
fcis-25716	64	1	they	they	PRON
fcis-25716	64	2	get	get	VERB
fcis-25716	64	3	good	good	ADJ
fcis-25716	64	4	results	result	NOUN
fcis-25716	64	5	,	,	PUNCT
fcis-25716	64	6	but	but	CCONJ
fcis-25716	64	7	require	require	VERB
fcis-25716	64	8	a	a	DET
fcis-25716	64	9	lot	lot	NOUN
fcis-25716	64	10	of	of	ADP
fcis-25716	64	11	computation	computation	NOUN
fcis-25716	64	12	.	.	PUNCT
fcis-25716	65	1	in	in	ADP
fcis-25716	65	2	2023	2023	NUM
fcis-25716	65	3	,	,	PUNCT
fcis-25716	65	4	with	with	ADP
fcis-25716	65	5	the	the	DET
fcis-25716	65	6	introduction	introduction	NOUN
fcis-25716	65	7	of	of	ADP
fcis-25716	65	8	mamba	mamba	NOUN
fcis-25716	65	9	,	,	PUNCT
fcis-25716	65	10	we	we	PRON
fcis-25716	65	11	have	have	VERB
fcis-25716	65	12	a	a	DET
fcis-25716	65	13	new	new	ADJ
fcis-25716	65	14	breakthrough	breakthrough	NOUN
fcis-25716	65	15	point	point	NOUN
fcis-25716	65	16	in	in	ADP
fcis-25716	65	17	the	the	DET
fcis-25716	65	18	balance	balance	NOUN
fcis-25716	65	19	between	between	ADP
fcis-25716	65	20	computation	computation	NOUN
fcis-25716	65	21	and	and	CCONJ
fcis-25716	65	22	performance	performance	NOUN
fcis-25716	65	23	.	.	PUNCT
fcis-25716	66	1	based	base	VERB
fcis-25716	66	2	on	on	ADP
fcis-25716	66	3	the	the	DET
fcis-25716	66	4	above	above	ADJ
fcis-25716	66	5	work	work	NOUN
fcis-25716	66	6	,	,	PUNCT
fcis-25716	66	7	we	we	PRON
fcis-25716	66	8	propose	propose	VERB
fcis-25716	66	9	the	the	DET
fcis-25716	66	10	dcss	dcss	NOUN
fcis-25716	66	11	unet	unet	NOUN
fcis-25716	66	12	,	,	PUNCT
fcis-25716	66	13	which	which	PRON
fcis-25716	66	14	uses	use	VERB
fcis-25716	66	15	the	the	DET
fcis-25716	66	16	mamba	mamba	ADJ
fcis-25716	66	17	encoder	encoder	NOUN
fcis-25716	66	18	as	as	ADP
fcis-25716	66	19	the	the	DET
fcis-25716	66	20	backbone	backbone	NOUN
fcis-25716	66	21	and	and	CCONJ
fcis-25716	66	22	achieves	achieve	VERB
fcis-25716	66	23	a	a	DET
fcis-25716	66	24	good	good	ADJ
fcis-25716	66	25	balance	balance	NOUN
fcis-25716	66	26	between	between	ADP
fcis-25716	66	27	precision	precision	NOUN
fcis-25716	66	28	and	and	CCONJ
fcis-25716	66	29	the	the	DET
fcis-25716	66	30	number	number	NOUN
fcis-25716	66	31	of	of	ADP
fcis-25716	66	32	calculated	calculated	ADJ
fcis-25716	66	33	parameters	parameter	NOUN
fcis-25716	66	34	.	.	PUNCT
fcis-25716	67	1	below	below	ADV
fcis-25716	67	2	we	we	PRON
fcis-25716	67	3	will	will	AUX
fcis-25716	67	4	take	take	VERB
fcis-25716	67	5	a	a	DET
fcis-25716	67	6	detailed	detailed	ADJ
fcis-25716	67	7	look	look	NOUN
fcis-25716	67	8	at	at	ADP
fcis-25716	67	9	the	the	DET
fcis-25716	67	10	various	various	ADJ
fcis-25716	67	11	parts	part	NOUN
fcis-25716	67	12	of	of	ADP
fcis-25716	67	13	the	the	DET
fcis-25716	67	14	network	network	NOUN
fcis-25716	67	15	.	.	PUNCT
fcis-25716	68	1	3	3	X
fcis-25716	68	2	.	.	X
fcis-25716	68	3	method	method	PROPN
fcis-25716	68	4	3.1	3.1	NUM
fcis-25716	68	5	.	.	PUNCT
fcis-25716	68	6	architecture	architecture	NOUN
fcis-25716	68	7	overview	overview	VERB
fcis-25716	68	8	the	the	DET
fcis-25716	68	9	overall	overall	ADJ
fcis-25716	68	10	architecture	architecture	NOUN
fcis-25716	68	11	of	of	ADP
fcis-25716	68	12	dcss	dcss	ADJ
fcis-25716	68	13	unet	unet	NOUN
fcis-25716	68	14	is	be	AUX
fcis-25716	68	15	shown	show	VERB
fcis-25716	68	16	in	in	ADP
fcis-25716	68	17	figure	figure	NOUN
fcis-25716	68	18	1	1	NUM
fcis-25716	68	19	.	.	PUNCT
fcis-25716	69	1	it	it	PRON
fcis-25716	69	2	consists	consist	VERB
fcis-25716	69	3	of	of	ADP
fcis-25716	69	4	three	three	NUM
fcis-25716	69	5	main	main	ADJ
fcis-25716	69	6	modules	module	NOUN
fcis-25716	69	7	:	:	PUNCT
fcis-25716	69	8	vmamba	vmamba	ADJ
fcis-25716	69	9	encoder	encoder	NOUN
fcis-25716	69	10	,	,	PUNCT
fcis-25716	69	11	sfa	sfa	NOUN
fcis-25716	69	12	module	module	NOUN
fcis-25716	69	13	and	and	CCONJ
fcis-25716	69	14	improved	improved	ADJ
fcis-25716	69	15	decoder	decoder	NOUN
fcis-25716	69	16	.	.	PUNCT
fcis-25716	70	1	figure	figure	NOUN
fcis-25716	70	2	1	1	NUM
fcis-25716	70	3	.	.	PUNCT
fcis-25716	71	1	the	the	DET
fcis-25716	71	2	architecture	architecture	NOUN
fcis-25716	71	3	of	of	ADP
fcis-25716	71	4	dcss	dcss	ADJ
fcis-25716	71	5	unet	unet	NOUN
fcis-25716	71	6	consists	consist	VERB
fcis-25716	71	7	of	of	ADP
fcis-25716	71	8	encoder	encoder	NOUN
fcis-25716	71	9	part	part	NOUN
fcis-25716	71	10	,	,	PUNCT
fcis-25716	71	11	jumper	jumper	NOUN
fcis-25716	71	12	connection	connection	NOUN
fcis-25716	71	13	part	part	NOUN
fcis-25716	71	14	and	and	CCONJ
fcis-25716	71	15	decoder	decoder	NOUN
fcis-25716	71	16	part	part	NOUN
fcis-25716	71	17	.	.	PUNCT
fcis-25716	72	1	the	the	DET
fcis-25716	72	2	skip	skip	ADJ
fcis-25716	72	3	connection	connection	NOUN
fcis-25716	72	4	part	part	NOUN
fcis-25716	72	5	uses	use	VERB
fcis-25716	72	6	our	our	PRON
fcis-25716	72	7	proposed	propose	VERB
fcis-25716	72	8	sfa	sfa	NOUN
fcis-25716	72	9	to	to	PART
fcis-25716	72	10	get	get	VERB
fcis-25716	72	11	information	information	NOUN
fcis-25716	72	12	from	from	ADP
fcis-25716	72	13	the	the	DET
fcis-25716	72	14	encoder	encoder	NOUN
fcis-25716	72	15	and	and	CCONJ
fcis-25716	72	16	pass	pass	VERB
fcis-25716	72	17	it	it	PRON
fcis-25716	72	18	to	to	ADP
fcis-25716	72	19	the	the	DET
fcis-25716	72	20	decoder	decoder	NOUN
fcis-25716	72	21	part	part	NOUN
fcis-25716	72	22	.	.	PUNCT
fcis-25716	73	1	upgraded	upgrade	VERB
fcis-25716	73	2	upsampling	upsampling	NOUN
fcis-25716	73	3	and	and	CCONJ
fcis-25716	73	4	convolution	convolution	NOUN
fcis-25716	73	5	modules	module	NOUN
fcis-25716	73	6	serve	serve	VERB
fcis-25716	73	7	as	as	ADP
fcis-25716	73	8	the	the	DET
fcis-25716	73	9	final	final	ADJ
fcis-25716	73	10	level	level	NOUN
fcis-25716	73	11	of	of	ADP
fcis-25716	73	12	the	the	DET
fcis-25716	73	13	network	network	NOUN
fcis-25716	73	14	34	34	NUM
fcis-25716	73	15	the	the	DET
fcis-25716	73	16	vmamba	vmamba	ADJ
fcis-25716	73	17	encoder	encoder	NOUN
fcis-25716	73	18	consists	consist	VERB
fcis-25716	73	19	of	of	ADP
fcis-25716	73	20	four	four	NUM
fcis-25716	73	21	stages	stage	NOUN
fcis-25716	73	22	,	,	PUNCT
fcis-25716	73	23	with	with	ADP
fcis-25716	73	24	a	a	DET
fcis-25716	73	25	patch	patch	NOUN
fcis-25716	73	26	merge	merge	NOUN
fcis-25716	73	27	operation	operation	NOUN
fcis-25716	73	28	applied	apply	VERB
fcis-25716	73	29	at	at	ADP
fcis-25716	73	30	the	the	DET
fcis-25716	73	31	end	end	NOUN
fcis-25716	73	32	of	of	ADP
fcis-25716	73	33	the	the	DET
fcis-25716	73	34	first	first	ADJ
fcis-25716	73	35	three	three	NUM
fcis-25716	73	36	stages	stage	NOUN
fcis-25716	73	37	to	to	PART
fcis-25716	73	38	reduce	reduce	VERB
fcis-25716	73	39	the	the	DET
fcis-25716	73	40	height	height	NOUN
fcis-25716	73	41	and	and	CCONJ
fcis-25716	73	42	width	width	NOUN
fcis-25716	73	43	of	of	ADP
fcis-25716	73	44	input	input	NOUN
fcis-25716	73	45	features	feature	NOUN
fcis-25716	73	46	while	while	SCONJ
fcis-25716	73	47	increasing	increase	VERB
fcis-25716	73	48	the	the	DET
fcis-25716	73	49	number	number	NOUN
fcis-25716	73	50	of	of	ADP
fcis-25716	73	51	channels	channel	NOUN
fcis-25716	73	52	.	.	PUNCT
fcis-25716	74	1	we	we	PRON
fcis-25716	74	2	used	use	VERB
fcis-25716	74	3	a	a	DET
fcis-25716	74	4	[	[	X
fcis-25716	74	5	n1	n1	ADJ
fcis-25716	74	6	,	,	PUNCT
fcis-25716	74	7	n2	n2	NOUN
fcis-25716	74	8	,	,	PUNCT
fcis-25716	74	9	n3	n3	PROPN
fcis-25716	74	10	,	,	PUNCT
fcis-25716	74	11	n4	n4	PROPN
fcis-25716	74	12	]	]	PUNCT
fcis-25716	74	13	vss	vss	NOUN
fcis-25716	74	14	block	block	NOUN
fcis-25716	74	15	spanning	span	VERB
fcis-25716	74	16	four	four	NUM
fcis-25716	74	17	stages	stage	NOUN
fcis-25716	74	18	of	of	ADP
fcis-25716	74	19	the	the	DET
fcis-25716	74	20	encoder	encoder	NOUN
fcis-25716	74	21	,	,	PUNCT
fcis-25716	74	22	with	with	ADP
fcis-25716	74	23	channel	channel	NOUN
fcis-25716	74	24	counts	count	NOUN
fcis-25716	74	25	of	of	ADP
fcis-25716	74	26	[	[	X
fcis-25716	74	27	c	c	X
fcis-25716	74	28	,	,	PUNCT
fcis-25716	74	29	2c	2c	NUM
fcis-25716	74	30	,	,	PUNCT
fcis-25716	74	31	4c	4c	NOUN
fcis-25716	74	32	,	,	PUNCT
fcis-25716	74	33	8c	8c	NOUN
fcis-25716	74	34	]	]	PUNCT
fcis-25716	74	35	for	for	ADP
fcis-25716	74	36	each	each	DET
fcis-25716	74	37	stage	stage	NOUN
fcis-25716	74	38	.	.	PUNCT
fcis-25716	75	1	given	give	VERB
fcis-25716	75	2	an	an	DET
fcis-25716	75	3	input	input	NOUN
fcis-25716	75	4	image	image	NOUN
fcis-25716	75	5	i	i	PRON
fcis-25716	75	6	,	,	PUNCT
fcis-25716	75	7	among	among	ADP
fcis-25716	75	8	3whrx	3whrx	NUM
fcis-25716	75	9			NOUN
fcis-25716	75	10	.	.	PUNCT
fcis-25716	76	1	it	it	PRON
fcis-25716	76	2	's	be	AUX
fcis-25716	76	3	a	a	DET
fcis-25716	76	4	feature	feature	NOUN
fcis-25716	76	5	generated	generate	VERB
fcis-25716	76	6	by	by	ADP
fcis-25716	76	7	the	the	DET
fcis-25716	76	8	encoder	encoder	NOUN
fcis-25716	76	9	at	at	ADP
fcis-25716	76	10	level	level	NOUN
fcis-25716	76	11	m	m	NOUN
fcis-25716	76	12	.	.	PUNCT
fcis-25716	77	1	at	at	ADP
fcis-25716	77	2	level	level	NOUN
fcis-25716	77	3	thi	thi	NOUN
fcis-25716	77	4	is	be	AUX
fcis-25716	77	5	o	o	NOUN
fcis-25716	77	6	if	if	SCONJ
fcis-25716	77	7	,	,	PUNCT
fcis-25716	77	8	where	where	SCONJ
fcis-25716	77	9	mi	mi	PROPN
fcis-25716	77	10	1	1	PROPN
fcis-25716	77	11	.	.	PUNCT
fcis-25716	78	1	these	these	DET
fcis-25716	78	2	accumulated	accumulate	VERB
fcis-25716	78	3	features	feature	NOUN
fcis-25716	78	4	}	}	PUNCT
fcis-25716	78	5	,	,	PUNCT
fcis-25716	78	6	...	...	PUNCT
fcis-25716	78	7	,	,	PUNCT
fcis-25716	78	8	,	,	PUNCT
fcis-25716	78	9	{	{	PUNCT
fcis-25716	78	10	21	21	NUM
fcis-25716	78	11	o	o	NOUN
fcis-25716	78	12	m	m	VERB
fcis-25716	78	13	oo	oo	INTJ
fcis-25716	78	14	fff	fff	PROPN
fcis-25716	78	15	are	be	AUX
fcis-25716	78	16	then	then	ADV
fcis-25716	78	17	forwarded	forward	VERB
fcis-25716	78	18	to	to	ADP
fcis-25716	78	19	the	the	DET
fcis-25716	78	20	sfa	sfa	NOUN
fcis-25716	78	21	module	module	NOUN
fcis-25716	78	22	for	for	ADP
fcis-25716	78	23	further	further	ADJ
fcis-25716	78	24	enhancement	enhancement	NOUN
fcis-25716	78	25	.	.	PUNCT
fcis-25716	79	1	as	as	SCONJ
fcis-25716	79	2	shown	show	VERB
fcis-25716	79	3	in	in	ADP
fcis-25716	79	4	the	the	DET
fcis-25716	79	5	figure	figure	NOUN
fcis-25716	79	6	,	,	PUNCT
fcis-25716	79	7	the	the	DET
fcis-25716	79	8	encoder	encoder	NOUN
fcis-25716	79	9	output	output	NOUN
fcis-25716	79	10	channel	channel	NOUN
fcis-25716	79	11	of	of	ADP
fcis-25716	79	12	if	if	SCONJ
fcis-25716	79	13	is	be	AUX
fcis-25716	79	14	ci2	ci2	PROPN
fcis-25716	79	15	,	,	PUNCT
fcis-25716	79	16	which	which	PRON
fcis-25716	79	17	enters	enter	VERB
fcis-25716	79	18	the	the	DET
fcis-25716	79	19	sfa	sfa	NOUN
fcis-25716	79	20	module	module	NOUN
fcis-25716	79	21	for	for	ADP
fcis-25716	79	22	feature	feature	NOUN
fcis-25716	79	23	fusion	fusion	NOUN
fcis-25716	79	24	.	.	PUNCT
fcis-25716	80	1	the	the	DET
fcis-25716	80	2	different	different	ADJ
fcis-25716	80	3	values	value	NOUN
fcis-25716	80	4	of	of	ADP
fcis-25716	80	5	n3	n3	NOUN
fcis-25716	80	6	and	and	CCONJ
fcis-25716	80	7	c	c	NOUN
fcis-25716	80	8	are	be	AUX
fcis-25716	80	9	an	an	DET
fcis-25716	80	10	important	important	ADJ
fcis-25716	80	11	factor	factor	NOUN
fcis-25716	80	12	in	in	ADP
fcis-25716	80	13	distinguishing	distinguish	VERB
fcis-25716	80	14	between	between	ADP
fcis-25716	80	15	minimal	minimal	ADJ
fcis-25716	80	16	,	,	PUNCT
fcis-25716	80	17	small	small	ADJ
fcis-25716	80	18	,	,	PUNCT
fcis-25716	80	19	and	and	CCONJ
fcis-25716	80	20	basic	basic	ADJ
fcis-25716	80	21	framework	framework	NOUN
fcis-25716	80	22	specifications	specification	NOUN
fcis-25716	80	23	.	.	PUNCT
fcis-25716	81	1	according	accord	VERB
fcis-25716	81	2	to	to	ADP
fcis-25716	81	3	the	the	DET
fcis-25716	81	4	vmamba	vmamba	ADJ
fcis-25716	81	5	specification	specification	NOUN
fcis-25716	81	6	,	,	PUNCT
fcis-25716	81	7	we	we	PRON
fcis-25716	81	8	let	let	VERB
fcis-25716	81	9	c	c	PRON
fcis-25716	81	10	take	take	VERB
fcis-25716	81	11	the	the	DET
fcis-25716	81	12	value	value	NOUN
fcis-25716	81	13	96	96	NUM
fcis-25716	81	14	,	,	PUNCT
fcis-25716	81	15	n1	n1	NOUN
fcis-25716	81	16	and	and	CCONJ
fcis-25716	81	17	n2	n2	NOUN
fcis-25716	81	18	take	take	VERB
fcis-25716	81	19	the	the	DET
fcis-25716	81	20	value	value	NOUN
fcis-25716	81	21	2	2	NUM
fcis-25716	81	22	respectively	respectively	ADV
fcis-25716	81	23	,	,	PUNCT
fcis-25716	81	24	and	and	CCONJ
fcis-25716	81	25	n3	n3	NOUN
fcis-25716	81	26	take	take	VERB
fcis-25716	81	27	the	the	DET
fcis-25716	81	28	value	value	NOUN
fcis-25716	81	29	from	from	ADP
fcis-25716	81	30	the	the	DET
fcis-25716	81	31	set	set	NOUN
fcis-25716	81	32	[	[	X
fcis-25716	81	33	2,9,27	2,9,27	NUM
fcis-25716	81	34	]	]	PUNCT
fcis-25716	81	35	.	.	PUNCT
fcis-25716	82	1	finally	finally	ADV
fcis-25716	82	2	,	,	PUNCT
fcis-25716	82	3	the	the	DET
fcis-25716	82	4	features	feature	NOUN
fcis-25716	82	5	are	be	AUX
fcis-25716	82	6	input	input	VERB
fcis-25716	82	7	into	into	ADP
fcis-25716	82	8	our	our	PRON
fcis-25716	82	9	improved	improved	ADJ
fcis-25716	82	10	decoder	decoder	NOUN
fcis-25716	82	11	network	network	NOUN
fcis-25716	82	12	,	,	PUNCT
fcis-25716	82	13	and	and	CCONJ
fcis-25716	82	14	the	the	DET
fcis-25716	82	15	feature	feature	NOUN
fcis-25716	82	16	fusion	fusion	NOUN
fcis-25716	82	17	is	be	AUX
fcis-25716	82	18	carried	carry	VERB
fcis-25716	82	19	out	out	ADP
fcis-25716	82	20	by	by	ADP
fcis-25716	82	21	tfam	tfam	NOUN
fcis-25716	82	22	,	,	PUNCT
fcis-25716	82	23	and	and	CCONJ
fcis-25716	82	24	the	the	DET
fcis-25716	82	25	original	original	ADJ
fcis-25716	82	26	feature	feature	NOUN
fcis-25716	82	27	map	map	NOUN
fcis-25716	82	28	size	size	NOUN
fcis-25716	82	29	is	be	AUX
fcis-25716	82	30	restored	restore	VERB
fcis-25716	82	31	by	by	ADP
fcis-25716	82	32	upsampling	upsample	VERB
fcis-25716	82	33	.	.	PUNCT
fcis-25716	83	1	the	the	DET
fcis-25716	83	2	sections	section	NOUN
fcis-25716	83	3	are	be	AUX
fcis-25716	83	4	described	describe	VERB
fcis-25716	83	5	in	in	ADP
fcis-25716	83	6	detail	detail	NOUN
fcis-25716	83	7	fig	fig	NOUN
fcis-25716	83	8	1	1	NUM
fcis-25716	83	9	.	.	NOUN
fcis-25716	83	10	3.2	3.2	NUM
fcis-25716	83	11	.	.	PUNCT
fcis-25716	83	12	vss	vss	NOUN
fcis-25716	83	13	block	block	NOUN
fcis-25716	83	14	the	the	DET
fcis-25716	83	15	encoder	encoder	NOUN
fcis-25716	83	16	core	core	NOUN
fcis-25716	83	17	of	of	ADP
fcis-25716	83	18	dcss	dcss	PROPN
fcis-25716	83	19	unet	unet	NOUN
fcis-25716	83	20	uses	use	VERB
fcis-25716	83	21	vmamba	vmamba	PROPN
fcis-25716	83	22	's	's	PART
fcis-25716	83	23	vss	vss	NOUN
fcis-25716	83	24	block	block	NOUN
fcis-25716	83	25	.	.	PUNCT
fcis-25716	84	1	the	the	DET
fcis-25716	84	2	structure	structure	NOUN
fcis-25716	84	3	is	be	AUX
fcis-25716	84	4	shown	show	VERB
fcis-25716	84	5	in	in	ADP
fcis-25716	84	6	figure	figure	NOUN
fcis-25716	84	7	2	2	NUM
fcis-25716	84	8	.	.	PUNCT
fcis-25716	85	1	after	after	ADP
fcis-25716	85	2	layer	layer	NOUN
fcis-25716	85	3	normalization	normalization	NOUN
fcis-25716	85	4	,	,	PUNCT
fcis-25716	85	5	the	the	DET
fcis-25716	85	6	input	input	NOUN
fcis-25716	85	7	is	be	AUX
fcis-25716	85	8	divided	divide	VERB
fcis-25716	85	9	into	into	ADP
fcis-25716	85	10	two	two	NUM
fcis-25716	85	11	branches	branch	NOUN
fcis-25716	85	12	.	.	PUNCT
fcis-25716	86	1	in	in	ADP
fcis-25716	86	2	the	the	DET
fcis-25716	86	3	first	first	ADJ
fcis-25716	86	4	branch	branch	NOUN
fcis-25716	86	5	,	,	PUNCT
fcis-25716	86	6	the	the	DET
fcis-25716	86	7	input	input	NOUN
fcis-25716	86	8	passes	pass	VERB
fcis-25716	86	9	through	through	ADP
fcis-25716	86	10	a	a	DET
fcis-25716	86	11	linear	linear	ADJ
fcis-25716	86	12	layer	layer	NOUN
fcis-25716	86	13	,	,	PUNCT
fcis-25716	86	14	followed	follow	VERB
fcis-25716	86	15	by	by	ADP
fcis-25716	86	16	an	an	DET
fcis-25716	86	17	activation	activation	NOUN
fcis-25716	86	18	function	function	NOUN
fcis-25716	86	19	.	.	PUNCT
fcis-25716	87	1	in	in	ADP
fcis-25716	87	2	the	the	DET
fcis-25716	87	3	second	second	ADJ
fcis-25716	87	4	branch	branch	NOUN
fcis-25716	87	5	,	,	PUNCT
fcis-25716	87	6	the	the	DET
fcis-25716	87	7	input	input	NOUN
fcis-25716	87	8	is	be	AUX
fcis-25716	87	9	processed	process	VERB
fcis-25716	87	10	by	by	ADP
fcis-25716	87	11	linear	linear	ADJ
fcis-25716	87	12	layers	layer	NOUN
fcis-25716	87	13	,	,	PUNCT
fcis-25716	87	14	depth	depth	NOUN
fcis-25716	87	15	-	-	PUNCT
fcis-25716	87	16	separable	separable	NOUN
fcis-25716	87	17	convolution	convolution	NOUN
fcis-25716	87	18	,	,	PUNCT
fcis-25716	87	19	and	and	CCONJ
fcis-25716	87	20	activation	activation	NOUN
fcis-25716	87	21	functions	function	NOUN
fcis-25716	87	22	before	before	ADP
fcis-25716	87	23	being	be	AUX
fcis-25716	87	24	fed	feed	VERB
fcis-25716	87	25	into	into	ADP
fcis-25716	87	26	a	a	DET
fcis-25716	87	27	two	two	NUM
fcis-25716	87	28	-	-	PUNCT
fcis-25716	87	29	dimensional	dimensional	ADJ
fcis-25716	87	30	selective	selective	ADJ
fcis-25716	87	31	scan	scan	NOUN
fcis-25716	87	32	(	(	PUNCT
fcis-25716	87	33	ss2d	ss2d	ADJ
fcis-25716	87	34	)	)	PUNCT
fcis-25716	87	35	module	module	NOUN
fcis-25716	87	36	for	for	ADP
fcis-25716	87	37	further	further	ADJ
fcis-25716	87	38	feature	feature	NOUN
fcis-25716	87	39	extraction	extraction	NOUN
fcis-25716	87	40	.	.	PUNCT
fcis-25716	88	1	the	the	DET
fcis-25716	88	2	features	feature	NOUN
fcis-25716	88	3	are	be	AUX
fcis-25716	88	4	then	then	ADV
fcis-25716	88	5	normalized	normalize	VERB
fcis-25716	88	6	using	use	VERB
fcis-25716	88	7	layer	layer	NOUN
fcis-25716	88	8	normalization	normalization	NOUN
fcis-25716	88	9	,	,	PUNCT
fcis-25716	88	10	followed	follow	VERB
fcis-25716	88	11	by	by	ADP
fcis-25716	88	12	element	element	ADJ
fcis-25716	88	13	-	-	PUNCT
fcis-25716	88	14	level	level	NOUN
fcis-25716	88	15	generation	generation	NOUN
fcis-25716	88	16	using	use	VERB
fcis-25716	88	17	the	the	DET
fcis-25716	88	18	output	output	NOUN
fcis-25716	88	19	from	from	ADP
fcis-25716	88	20	the	the	DET
fcis-25716	88	21	first	first	ADJ
fcis-25716	88	22	branch	branch	NOUN
fcis-25716	88	23	to	to	PART
fcis-25716	88	24	merge	merge	VERB
fcis-25716	88	25	the	the	DET
fcis-25716	88	26	two	two	NUM
fcis-25716	88	27	paths	path	NOUN
fcis-25716	88	28	.	.	PUNCT
fcis-25716	89	1	finally	finally	ADV
fcis-25716	89	2	,	,	PUNCT
fcis-25716	89	3	these	these	DET
fcis-25716	89	4	features	feature	NOUN
fcis-25716	89	5	are	be	AUX
fcis-25716	89	6	mixed	mix	VERB
fcis-25716	89	7	using	use	VERB
fcis-25716	89	8	a	a	DET
fcis-25716	89	9	linear	linear	ADJ
fcis-25716	89	10	layer	layer	NOUN
fcis-25716	89	11	,	,	PUNCT
fcis-25716	89	12	and	and	CCONJ
fcis-25716	89	13	this	this	DET
fcis-25716	89	14	result	result	NOUN
fcis-25716	89	15	is	be	AUX
fcis-25716	89	16	combined	combine	VERB
fcis-25716	89	17	with	with	ADP
fcis-25716	89	18	the	the	DET
fcis-25716	89	19	residual	residual	ADJ
fcis-25716	89	20	connection	connection	NOUN
fcis-25716	89	21	to	to	PART
fcis-25716	89	22	form	form	VERB
fcis-25716	89	23	the	the	DET
fcis-25716	89	24	output	output	NOUN
fcis-25716	89	25	of	of	ADP
fcis-25716	89	26	the	the	DET
fcis-25716	89	27	vss	vss	NOUN
fcis-25716	89	28	block	block	NOUN
fcis-25716	89	29	.	.	PUNCT
fcis-25716	90	1	this	this	DET
fcis-25716	90	2	article	article	NOUN
fcis-25716	90	3	uses	use	VERB
fcis-25716	90	4	silu	silu	NOUN
fcis-25716	90	5	as	as	SCONJ
fcis-25716	90	6	the	the	DET
fcis-25716	90	7	activation	activation	NOUN
fcis-25716	90	8	function	function	NOUN
fcis-25716	90	9	by	by	ADP
fcis-25716	90	10	default	default	NOUN
fcis-25716	90	11	.	.	PUNCT
fcis-25716	91	1	ss2d	ss2d	PROPN
fcis-25716	91	2	is	be	AUX
fcis-25716	91	3	the	the	DET
fcis-25716	91	4	core	core	NOUN
fcis-25716	91	5	module	module	NOUN
fcis-25716	91	6	in	in	ADP
fcis-25716	91	7	the	the	DET
fcis-25716	91	8	vss	vss	NOUN
fcis-25716	91	9	block	block	NOUN
fcis-25716	91	10	,	,	PUNCT
fcis-25716	91	11	which	which	PRON
fcis-25716	91	12	consists	consist	VERB
fcis-25716	91	13	of	of	ADP
fcis-25716	91	14	three	three	NUM
fcis-25716	91	15	parts	part	NOUN
fcis-25716	91	16	:	:	PUNCT
fcis-25716	91	17	the	the	DET
fcis-25716	91	18	scan	scan	ADJ
fcis-25716	91	19	expansion	expansion	NOUN
fcis-25716	91	20	operation	operation	NOUN
fcis-25716	91	21	,	,	PUNCT
fcis-25716	91	22	the	the	DET
fcis-25716	91	23	s6	s6	PROPN
fcis-25716	91	24	block	block	NOUN
fcis-25716	91	25	,	,	PUNCT
fcis-25716	91	26	and	and	CCONJ
fcis-25716	91	27	the	the	DET
fcis-25716	91	28	scan	scan	PROPN
fcis-25716	91	29	merge	merge	VERB
fcis-25716	91	30	operation	operation	NOUN
fcis-25716	91	31	.	.	PUNCT
fcis-25716	92	1	the	the	DET
fcis-25716	92	2	effect	effect	NOUN
fcis-25716	92	3	of	of	ADP
fcis-25716	92	4	the	the	DET
fcis-25716	92	5	scan	scan	ADJ
fcis-25716	92	6	expansion	expansion	NOUN
fcis-25716	92	7	operation	operation	NOUN
fcis-25716	92	8	is	be	AUX
fcis-25716	92	9	to	to	PART
fcis-25716	92	10	expand	expand	VERB
fcis-25716	92	11	the	the	DET
fcis-25716	92	12	input	input	NOUN
fcis-25716	92	13	image	image	NOUN
fcis-25716	92	14	into	into	ADP
fcis-25716	92	15	a	a	DET
fcis-25716	92	16	sequence	sequence	NOUN
fcis-25716	92	17	in	in	ADP
fcis-25716	92	18	four	four	NUM
fcis-25716	92	19	different	different	ADJ
fcis-25716	92	20	directions	direction	NOUN
fcis-25716	92	21	(	(	PUNCT
fcis-25716	92	22	top	top	NOUN
fcis-25716	92	23	left	leave	VERB
fcis-25716	92	24	to	to	ADP
fcis-25716	92	25	bottom	bottom	ADJ
fcis-25716	92	26	right	right	NOUN
fcis-25716	92	27	,	,	PUNCT
fcis-25716	92	28	bottom	bottom	ADJ
fcis-25716	92	29	right	right	NOUN
fcis-25716	92	30	to	to	PART
fcis-25716	92	31	top	top	VERB
fcis-25716	92	32	left	left	ADJ
fcis-25716	92	33	,	,	PUNCT
fcis-25716	92	34	top	top	ADJ
fcis-25716	92	35	right	right	NOUN
fcis-25716	92	36	to	to	ADP
fcis-25716	92	37	bottom	bottom	ADJ
fcis-25716	92	38	left	leave	VERB
fcis-25716	92	39	,	,	PUNCT
fcis-25716	92	40	bottom	bottom	NOUN
fcis-25716	92	41	left	leave	VERB
fcis-25716	92	42	to	to	ADP
fcis-25716	92	43	top	top	VERB
fcis-25716	92	44	right	right	NOUN
fcis-25716	92	45	)	)	PUNCT
fcis-25716	92	46	.	.	PUNCT
fcis-25716	93	1	these	these	DET
fcis-25716	93	2	sequences	sequence	NOUN
fcis-25716	93	3	are	be	AUX
fcis-25716	93	4	then	then	ADV
fcis-25716	93	5	feature	feature	NOUN
fcis-25716	93	6	extracted	extract	VERB
fcis-25716	93	7	by	by	ADP
fcis-25716	93	8	the	the	DET
fcis-25716	93	9	s6	s6	PROPN
fcis-25716	93	10	block	block	NOUN
fcis-25716	93	11	,	,	PUNCT
fcis-25716	93	12	ensuring	ensure	VERB
fcis-25716	93	13	that	that	SCONJ
fcis-25716	93	14	information	information	NOUN
fcis-25716	93	15	from	from	ADP
fcis-25716	93	16	different	different	ADJ
fcis-25716	93	17	directions	direction	NOUN
fcis-25716	93	18	is	be	AUX
fcis-25716	93	19	thoroughly	thoroughly	ADV
fcis-25716	93	20	scanned	scan	VERB
fcis-25716	93	21	to	to	PART
fcis-25716	93	22	capture	capture	VERB
fcis-25716	93	23	different	different	ADJ
fcis-25716	93	24	features	feature	NOUN
fcis-25716	93	25	.	.	PUNCT
fcis-25716	94	1	subsequently	subsequently	ADV
fcis-25716	94	2	,	,	PUNCT
fcis-25716	94	3	the	the	DET
fcis-25716	94	4	scan	scan	PROPN
fcis-25716	94	5	merge	merge	VERB
fcis-25716	94	6	operation	operation	NOUN
fcis-25716	94	7	and	and	CCONJ
fcis-25716	94	8	merge	merge	VERB
fcis-25716	94	9	sequence	sequence	NOUN
fcis-25716	94	10	from	from	ADP
fcis-25716	94	11	these	these	DET
fcis-25716	94	12	four	four	NUM
fcis-25716	94	13	directions	direction	NOUN
fcis-25716	94	14	restore	restore	VERB
fcis-25716	94	15	the	the	DET
fcis-25716	94	16	output	output	NOUN
fcis-25716	94	17	image	image	NOUN
fcis-25716	94	18	to	to	ADP
fcis-25716	94	19	the	the	DET
fcis-25716	94	20	same	same	ADJ
fcis-25716	94	21	size	size	NOUN
fcis-25716	94	22	as	as	ADP
fcis-25716	94	23	the	the	DET
fcis-25716	94	24	input	input	NOUN
fcis-25716	94	25	image	image	NOUN
fcis-25716	94	26	.	.	PUNCT
fcis-25716	95	1	figure	figure	NOUN
fcis-25716	95	2	2	2	NUM
fcis-25716	95	3	.	.	PUNCT
fcis-25716	95	4	vss	vss	NOUN
fcis-25716	95	5	block	block	NOUN
fcis-25716	95	6	as	as	ADP
fcis-25716	95	7	the	the	DET
fcis-25716	95	8	backbone	backbone	NOUN
fcis-25716	95	9	of	of	ADP
fcis-25716	95	10	dcss	dcss	ADJ
fcis-25716	95	11	unet	unet	NOUN
fcis-25716	95	12	encoder	encoder	NOUN
fcis-25716	95	13	3.3	3.3	NUM
fcis-25716	95	14	.	.	PUNCT
fcis-25716	96	1	sfa	sfa	NOUN
fcis-25716	96	2	block	block	NOUN
fcis-25716	96	3	in	in	ADP
fcis-25716	96	4	the	the	DET
fcis-25716	96	5	skip	skip	ADJ
fcis-25716	96	6	connect	connect	NOUN
fcis-25716	96	7	phase	phase	NOUN
fcis-25716	96	8	,	,	PUNCT
fcis-25716	96	9	we	we	PRON
fcis-25716	96	10	use	use	VERB
fcis-25716	96	11	the	the	DET
fcis-25716	96	12	sfa	sfa	NOUN
fcis-25716	96	13	module	module	NOUN
fcis-25716	96	14	(	(	PUNCT
fcis-25716	96	15	skip	skip	VERB
fcis-25716	96	16	connects	connect	VERB
fcis-25716	96	17	feature	feature	NOUN
fcis-25716	96	18	attention	attention	NOUN
fcis-25716	96	19	modules	module	NOUN
fcis-25716	96	20	)	)	PUNCT
fcis-25716	96	21	to	to	PART
fcis-25716	96	22	extract	extract	VERB
fcis-25716	96	23	the	the	DET
fcis-25716	96	24	features	feature	NOUN
fcis-25716	96	25	from	from	ADP
fcis-25716	96	26	the	the	DET
fcis-25716	96	27	trunk	trunk	NOUN
fcis-25716	96	28	.	.	PUNCT
fcis-25716	97	1	based	base	VERB
fcis-25716	97	2	on	on	ADP
fcis-25716	97	3	the	the	DET
fcis-25716	97	4	idea	idea	NOUN
fcis-25716	97	5	of	of	ADP
fcis-25716	97	6	cbam[28	cbam[28	PROPN
fcis-25716	97	7	]	]	PUNCT
fcis-25716	97	8	,	,	PUNCT
fcis-25716	97	9	we	we	PRON
fcis-25716	97	10	embed	embe	VERB
fcis-25716	97	11	it	it	PRON
fcis-25716	97	12	into	into	ADP
fcis-25716	97	13	the	the	DET
fcis-25716	97	14	spa	spa	NOUN
fcis-25716	97	15	module	module	NOUN
fcis-25716	97	16	,	,	PUNCT
fcis-25716	97	17	whose	whose	DET
fcis-25716	97	18	structure	structure	NOUN
fcis-25716	97	19	is	be	AUX
fcis-25716	97	20	shown	show	VERB
fcis-25716	97	21	in	in	ADP
fcis-25716	97	22	figure	figure	NOUN
fcis-25716	97	23	3	3	NUM
fcis-25716	97	24	.	.	PUNCT
fcis-25716	98	1	(	(	PUNCT
fcis-25716	98	2	a	a	NOUN
fcis-25716	98	3	)	)	PUNCT
fcis-25716	98	4	.	.	PUNCT
fcis-25716	99	1	cbam	cbam	NOUN
fcis-25716	99	2	(	(	PUNCT
fcis-25716	99	3	convolutional	convolutional	ADJ
fcis-25716	99	4	block	block	NOUN
fcis-25716	99	5	attention	attention	NOUN
fcis-25716	99	6	module	module	NOUN
fcis-25716	99	7	)	)	PUNCT
fcis-25716	99	8	is	be	AUX
fcis-25716	99	9	a	a	DET
fcis-25716	99	10	lightweight	lightweight	ADJ
fcis-25716	99	11	and	and	CCONJ
fcis-25716	99	12	versatile	versatile	ADJ
fcis-25716	99	13	module	module	NOUN
fcis-25716	99	14	that	that	PRON
fcis-25716	99	15	can	can	AUX
fcis-25716	99	16	obtain	obtain	VERB
fcis-25716	99	17	more	more	ADJ
fcis-25716	99	18	information	information	NOUN
fcis-25716	99	19	from	from	ADP
fcis-25716	99	20	the	the	DET
fcis-25716	99	21	encoder	encoder	NOUN
fcis-25716	99	22	at	at	ADP
fcis-25716	99	23	a	a	DET
fcis-25716	99	24	very	very	ADV
fcis-25716	99	25	low	low	ADJ
fcis-25716	99	26	computational	computational	ADJ
fcis-25716	99	27	cost	cost	NOUN
fcis-25716	99	28	,	,	PUNCT
fcis-25716	99	29	as	as	SCONJ
fcis-25716	99	30	shown	show	VERB
fcis-25716	99	31	in	in	ADP
fcis-25716	99	32	figure	figure	NOUN
fcis-25716	99	33	3	3	NUM
fcis-25716	99	34	.	.	PUNCT
fcis-25716	100	1	(	(	PUNCT
fcis-25716	100	2	b	b	NOUN
fcis-25716	100	3	)	)	PUNCT
fcis-25716	100	4	.	.	PUNCT
fcis-25716	101	1	sfa	sfa	PROPN
fcis-25716	101	2	can	can	AUX
fcis-25716	101	3	be	be	AUX
fcis-25716	101	4	used	use	VERB
fcis-25716	101	5	to	to	PART
fcis-25716	101	6	calculate	calculate	VERB
fcis-25716	101	7	spatial	spatial	ADJ
fcis-25716	101	8	and	and	CCONJ
fcis-25716	101	9	channel	channel	NOUN
fcis-25716	101	10	attention	attention	NOUN
fcis-25716	101	11	scores	score	NOUN
fcis-25716	101	12	.	.	PUNCT
fcis-25716	102	1	given	give	VERB
fcis-25716	102	2	an	an	DET
fcis-25716	102	3	intermediate	intermediate	ADJ
fcis-25716	102	4	feature	feature	NOUN
fcis-25716	102	5	graph	graph	NOUN
fcis-25716	102	6	,	,	PUNCT
fcis-25716	102	7	the	the	DET
fcis-25716	102	8	sfa	sfa	NOUN
fcis-25716	102	9	module	module	NOUN
fcis-25716	102	10	will	will	AUX
fcis-25716	102	11	infer	infer	VERB
fcis-25716	102	12	the	the	DET
fcis-25716	102	13	attention	attention	NOUN
fcis-25716	102	14	graph	graph	NOUN
fcis-25716	102	15	along	along	ADP
fcis-25716	102	16	two	two	NUM
fcis-25716	102	17	independent	independent	ADJ
fcis-25716	102	18	dimensions	dimension	NOUN
fcis-25716	102	19	,	,	PUNCT
fcis-25716	102	20	channel	channel	NOUN
fcis-25716	102	21	and	and	CCONJ
fcis-25716	102	22	space	space	NOUN
fcis-25716	102	23	,	,	PUNCT
fcis-25716	102	24	and	and	CCONJ
fcis-25716	102	25	then	then	ADV
fcis-25716	102	26	multiply	multiply	VERB
fcis-25716	102	27	the	the	DET
fcis-25716	102	28	attention	attention	NOUN
fcis-25716	102	29	graph	graph	NOUN
fcis-25716	102	30	by	by	ADP
fcis-25716	102	31	the	the	DET
fcis-25716	102	32	input	input	NOUN
fcis-25716	102	33	feature	feature	NOUN
fcis-25716	102	34	graph	graph	NOUN
fcis-25716	102	35	for	for	ADP
fcis-25716	102	36	adaptive	adaptive	ADJ
fcis-25716	102	37	feature	feature	NOUN
fcis-25716	102	38	thinning	thinning	NOUN
fcis-25716	102	39	.	.	PUNCT
fcis-25716	103	1	the	the	DET
fcis-25716	103	2	sfa	sfa	PROPN
fcis-25716	103	3	module	module	NOUN
fcis-25716	103	4	enhances	enhance	VERB
fcis-25716	103	5	the	the	DET
fcis-25716	103	6	network	network	NOUN
fcis-25716	103	7	's	's	PART
fcis-25716	103	8	ability	ability	NOUN
fcis-25716	103	9	to	to	PART
fcis-25716	103	10	express	express	VERB
fcis-25716	103	11	local	local	ADJ
fcis-25716	103	12	information	information	NOUN
fcis-25716	103	13	,	,	PUNCT
fcis-25716	103	14	extracts	extract	VERB
fcis-25716	103	15	more	more	ADV
fcis-25716	103	16	meaningful	meaningful	ADJ
fcis-25716	103	17	features	feature	NOUN
fcis-25716	103	18	,	,	PUNCT
fcis-25716	103	19	and	and	CCONJ
fcis-25716	103	20	suppresses	suppress	VERB
fcis-25716	103	21	unimportant	unimportant	ADJ
fcis-25716	103	22	regional	regional	ADJ
fcis-25716	103	23	responses	response	NOUN
fcis-25716	103	24	in	in	ADP
fcis-25716	103	25	a	a	DET
fcis-25716	103	26	shorter	short	ADJ
fcis-25716	103	27	period	period	NOUN
fcis-25716	103	28	of	of	ADP
fcis-25716	103	29	time	time	NOUN
fcis-25716	103	30	.	.	PUNCT
fcis-25716	104	1	helps	help	VERB
fcis-25716	104	2	to	to	PART
fcis-25716	104	3	locate	locate	VERB
fcis-25716	104	4	the	the	DET
fcis-25716	104	5	target	target	NOUN
fcis-25716	104	6	area	area	NOUN
fcis-25716	104	7	more	more	ADV
fcis-25716	104	8	precisely	precisely	ADV
fcis-25716	104	9	.	.	PUNCT
fcis-25716	105	1	in	in	ADP
fcis-25716	105	2	skip	skip	ADJ
fcis-25716	105	3	connection	connection	NOUN
fcis-25716	105	4	,	,	PUNCT
fcis-25716	105	5	lower	low	ADJ
fcis-25716	105	6	feature	feature	NOUN
fcis-25716	105	7	and	and	CCONJ
fcis-25716	105	8	higher	high	ADJ
fcis-25716	105	9	feature	feature	NOUN
fcis-25716	105	10	can	can	AUX
fcis-25716	105	11	be	be	AUX
fcis-25716	105	12	integrated	integrate	VERB
fcis-25716	105	13	better	well	ADV
fcis-25716	105	14	,	,	PUNCT
fcis-25716	105	15	so	so	SCONJ
fcis-25716	105	16	as	as	SCONJ
fcis-25716	105	17	to	to	PART
fcis-25716	105	18	improve	improve	VERB
fcis-25716	105	19	the	the	DET
fcis-25716	105	20	precision	precision	NOUN
fcis-25716	105	21	of	of	ADP
fcis-25716	105	22	segmentation	segmentation	NOUN
fcis-25716	105	23	.	.	PUNCT
fcis-25716	106	1	it	it	PRON
fcis-25716	106	2	can	can	AUX
fcis-25716	106	3	effectively	effectively	ADV
fcis-25716	106	4	suppress	suppress	VERB
fcis-25716	106	5	the	the	DET
fcis-25716	106	6	interference	interference	NOUN
fcis-25716	106	7	of	of	ADP
fcis-25716	106	8	the	the	DET
fcis-25716	106	9	complex	complex	ADJ
fcis-25716	106	10	background	background	NOUN
fcis-25716	106	11	and	and	CCONJ
fcis-25716	106	12	ensure	ensure	VERB
fcis-25716	106	13	the	the	DET
fcis-25716	106	14	feature	feature	NOUN
fcis-25716	106	15	of	of	ADP
fcis-25716	106	16	the	the	DET
fcis-25716	106	17	target	target	NOUN
fcis-25716	106	18	area	area	NOUN
fcis-25716	106	19	is	be	AUX
fcis-25716	106	20	more	more	ADV
fcis-25716	106	21	prominent	prominent	ADJ
fcis-25716	106	22	.	.	PUNCT
fcis-25716	107	1	the	the	DET
fcis-25716	107	2	process	process	NOUN
fcis-25716	107	3	of	of	ADP
fcis-25716	107	4	deriving	deriving	NOUN
fcis-25716	107	5	)	)	PUNCT
fcis-25716	107	6	)	)	PUNCT
fcis-25716	107	7	(	(	PUNCT
fcis-25716	107	8	(	(	PUNCT
fcis-25716	107	9	xmccam	xmccam	NOUN
fcis-25716	107	10	and	and	CCONJ
fcis-25716	107	11	)	)	PUNCT
fcis-25716	107	12	)	)	PUNCT
fcis-25716	107	13	(	(	PUNCT
fcis-25716	107	14	(	(	PUNCT
fcis-25716	107	15	xmssam	xmssam	NOUN
fcis-25716	107	16	can	can	AUX
fcis-25716	107	17	be	be	AUX
fcis-25716	107	18	summarized	summarize	VERB
fcis-25716	107	19	using	use	VERB
fcis-25716	107	20	the	the	DET
fcis-25716	107	21	following	follow	VERB
fcis-25716	107	22	equations	equation	NOUN
fcis-25716	107	23	:	:	PUNCT
fcis-25716	107	24	)	)	PUNCT
fcis-25716	107	25	)	)	PUNCT
fcis-25716	107	26	)	)	PUNCT
fcis-25716	108	1	(	(	PUNCT
fcis-25716	108	2	(	(	PUNCT
fcis-25716	108	3	)	)	PUNCT
fcis-25716	108	4	)	)	PUNCT
fcis-25716	108	5	(	(	PUNCT
fcis-25716	108	6	(	(	PUNCT
fcis-25716	108	7	(	(	PUNCT
fcis-25716	108	8	)	)	PUNCT
fcis-25716	108	9	(	(	PUNCT
fcis-25716	108	10	xmaxmlpxavgpoolmlpx	xmaxmlpxavgpoolmlpx	PROPN
fcis-25716	108	11	poolmc	poolmc	VERB
fcis-25716	108	12	+	+	PROPN
fcis-25716	108	13	=	=	X
fcis-25716	108	14			X
fcis-25716	108	15	(	(	PUNCT
fcis-25716	108	16	1	1	NUM
fcis-25716	108	17	)	)	PUNCT
fcis-25716	108	18	)	)	PUNCT
fcis-25716	109	1	]	]	PUNCT
fcis-25716	109	2	)	)	PUNCT
fcis-25716	109	3	)	)	PUNCT
fcis-25716	109	4	(	(	PUNCT
fcis-25716	109	5	)	)	PUNCT
fcis-25716	109	6	,	,	PUNCT
fcis-25716	109	7	(	(	PUNCT
fcis-25716	109	8	(	(	PUNCT
fcis-25716	109	9	[	[	X
fcis-25716	109	10	(	(	PUNCT
fcis-25716	109	11	)	)	PUNCT
fcis-25716	109	12	(	(	PUNCT
fcis-25716	109	13	xmaxpoolxavgpoolconvx	xmaxpoolxavgpoolconvx	ADJ
fcis-25716	109	14	=sm	=sm	NOUN
fcis-25716	109	15	(	(	PUNCT
fcis-25716	109	16	2	2	X
fcis-25716	109	17	)	)	PUNCT
fcis-25716	109	18	the	the	DET
fcis-25716	109	19	sigmoid	sigmoid	NOUN
fcis-25716	109	20	function	function	NOUN
fcis-25716	109	21	is	be	AUX
fcis-25716	109	22	represented	represent	VERB
fcis-25716	109	23	by	by	ADP
fcis-25716	109	24			PROPN
fcis-25716	109	25	,	,	PUNCT
fcis-25716	109	26	and	and	CCONJ
fcis-25716	109	27	the	the	DET
fcis-25716	109	28	input	input	NOUN
fcis-25716	109	29	map	map	NOUN
fcis-25716	109	30	is	be	AUX
fcis-25716	109	31	x	x	X
fcis-25716	109	32	.	.	PUNCT
fcis-25716	110	1	sfa	sfa	PROPN
fcis-25716	110	2	block	block	NOUN
fcis-25716	110	3	enhances	enhance	VERB
fcis-25716	110	4	the	the	DET
fcis-25716	110	5	network	network	NOUN
fcis-25716	110	6	's	's	PART
fcis-25716	110	7	ability	ability	NOUN
fcis-25716	110	8	to	to	PART
fcis-25716	110	9	express	express	VERB
fcis-25716	110	10	local	local	ADJ
fcis-25716	110	11	information	information	NOUN
fcis-25716	110	12	,	,	PUNCT
fcis-25716	110	13	extract	extract	VERB
fcis-25716	110	14	more	more	ADV
fcis-25716	110	15	meaningful	meaningful	ADJ
fcis-25716	110	16	features	feature	NOUN
fcis-25716	110	17	,	,	PUNCT
fcis-25716	110	18	and	and	CCONJ
fcis-25716	110	19	suppress	suppress	VERB
fcis-25716	110	20	responses	response	NOUN
fcis-25716	110	21	from	from	ADP
fcis-25716	110	22	less	less	ADV
fcis-25716	110	23	important	important	ADJ
fcis-25716	110	24	regions	region	NOUN
fcis-25716	110	25	.	.	PUNCT
fcis-25716	111	1	3.4	3.4	NUM
fcis-25716	111	2	.	.	PUNCT
fcis-25716	111	3	improved	improve	VERB
fcis-25716	111	4	upsampling	upsample	VERB
fcis-25716	111	5	structure	structure	NOUN
fcis-25716	111	6	for	for	ADP
fcis-25716	111	7	the	the	DET
fcis-25716	111	8	upsampling	upsampling	NOUN
fcis-25716	111	9	block	block	NOUN
fcis-25716	111	10	,	,	PUNCT
fcis-25716	111	11	there	there	PRON
fcis-25716	111	12	are	be	VERB
fcis-25716	111	13	2	2	NUM
fcis-25716	111	14	stages	stage	NOUN
fcis-25716	111	15	in	in	ADP
fcis-25716	111	16	this	this	DET
fcis-25716	111	17	block	block	NOUN
fcis-25716	111	18	.	.	PUNCT
fcis-25716	112	1	in	in	ADP
fcis-25716	112	2	the	the	DET
fcis-25716	112	3	first	first	ADJ
fcis-25716	112	4	stage	stage	NOUN
fcis-25716	112	5	,	,	PUNCT
fcis-25716	112	6	we	we	PRON
fcis-25716	112	7	use	use	VERB
fcis-25716	112	8	tfam[26](temporal	tfam[26](temporal	ADJ
fcis-25716	112	9	fusion	fusion	NOUN
fcis-25716	112	10	attention	attention	NOUN
fcis-25716	112	11	module	module	NOUN
fcis-25716	112	12	)	)	PUNCT
fcis-25716	112	13	to	to	PART
fcis-25716	112	14	extract	extract	VERB
fcis-25716	112	15	feature	feature	NOUN
fcis-25716	112	16	information	information	NOUN
fcis-25716	112	17	from	from	ADP
fcis-25716	112	18	sfa	sfa	NOUN
fcis-25716	112	19	module	module	NOUN
fcis-25716	112	20	.	.	PUNCT
fcis-25716	113	1	we	we	PRON
fcis-25716	113	2	introduced	introduce	VERB
fcis-25716	113	3	a	a	DET
fcis-25716	113	4	tfam	tfam	NOUN
fcis-25716	113	5	to	to	PART
fcis-25716	113	6	make	make	VERB
fcis-25716	113	7	use	use	NOUN
fcis-25716	113	8	of	of	ADP
fcis-25716	113	9	time	time	NOUN
fcis-25716	113	10	information	information	NOUN
fcis-25716	113	11	for	for	ADP
fcis-25716	113	12	effective	effective	ADJ
fcis-25716	113	13	feature	feature	NOUN
fcis-25716	113	14	fusion	fusion	NOUN
fcis-25716	113	15	,	,	PUNCT
fcis-25716	113	16	as	as	SCONJ
fcis-25716	113	17	shown	show	VERB
fcis-25716	113	18	in	in	ADP
fcis-25716	113	19	figure	figure	NOUN
fcis-25716	113	20	4	4	NUM
fcis-25716	113	21	.	.	PUNCT
fcis-25716	114	1	it	it	PRON
fcis-25716	114	2	uses	use	VERB
fcis-25716	114	3	attention	attention	NOUN
fcis-25716	114	4	and	and	CCONJ
fcis-25716	114	5	time	time	NOUN
fcis-25716	114	6	information	information	NOUN
fcis-25716	114	7	to	to	PART
fcis-25716	114	8	determine	determine	VERB
fcis-25716	114	9	what	what	PRON
fcis-25716	114	10	is	be	AUX
fcis-25716	114	11	important	important	ADJ
fcis-25716	114	12	between	between	ADP
fcis-25716	114	13	dual	dual	ADJ
fcis-25716	114	14	temporal	temporal	ADJ
fcis-25716	114	15	features	feature	NOUN
fcis-25716	114	16	.	.	PUNCT
fcis-25716	115	1	the	the	DET
fcis-25716	115	2	relevant	relevant	ADJ
fcis-25716	115	3	calculation	calculation	NOUN
fcis-25716	115	4	formula	formula	NOUN
fcis-25716	115	5	is	be	AUX
fcis-25716	115	6	as	as	SCONJ
fcis-25716	115	7	follows	follow	VERB
fcis-25716	115	8	:	:	PUNCT
fcis-25716	115	9	)	)	PUNCT
fcis-25716	115	10	)	)	PUNCT
fcis-25716	115	11	(	(	PUNCT
fcis-25716	115	12	)	)	PUNCT
fcis-25716	115	13	,	,	PUNCT
fcis-25716	115	14	(	(	PUNCT
fcis-25716	115	15	)	)	PUNCT
fcis-25716	115	16	,	,	PUNCT
fcis-25716	115	17	(	(	PUNCT
fcis-25716	115	18	)	)	PUNCT
fcis-25716	115	19	,	,	PUNCT
fcis-25716	115	20	(	(	PUNCT
fcis-25716	115	21	(	(	PUNCT
fcis-25716	115	22	2211	2211	NUM
fcis-25716	115	23	tmaxtavgtmtavg	tmaxtavgtmtavg	NOUN
fcis-25716	115	24	axconcatsc	axconcatsc	ADV
fcis-25716	116	1			PROPN
fcis-25716	116	2	(	(	PUNCT
fcis-25716	116	3	3	3	NUM
fcis-25716	116	4	)	)	PUNCT
fcis-25716	116	5	)	)	PUNCT
fcis-25716	117	1	(	(	PUNCT
fcis-25716	117	2	)	)	PUNCT
fcis-25716	117	3	,	,	PUNCT
fcis-25716	117	4	(	(	PUNCT
fcis-25716	117	5	212,1	212,1	NUM
fcis-25716	117	6	ccc	ccc	PROPN
fcis-25716	117	7	sconvsconvw	sconvsconvw	NOUN
fcis-25716	117	8	cw	cw	NOUN
fcis-25716	117	9	(	(	PUNCT
fcis-25716	117	10	4	4	NUM
fcis-25716	117	11	)	)	PUNCT
fcis-25716	117	12	35	35	NUM
fcis-25716	117	13	21	21	NUM
fcis-25716	117	14	2	2	NUM
fcis-25716	117	15	21	21	NUM
fcis-25716	117	16	1	1	NUM
fcis-25716	117	17	,	,	PUNCT
fcis-25716	117	18	,	,	PUNCT
fcis-25716	117	19	'	'	PUNCT
fcis-25716	117	20	2	2	NUM
fcis-25716	117	21	'	'	NUM
fcis-25716	117	22	1	1	NUM
fcis-25716	117	23	cc	cc	ADP
fcis-25716	117	24	c	c	NOUN
fcis-25716	117	25	cc	cc	PROPN
fcis-25716	117	26	c	c	PROPN
fcis-25716	117	27	ww	ww	PROPN
fcis-25716	117	28	w	w	PROPN
fcis-25716	117	29	ww	ww	PROPN
fcis-25716	117	30	w	w	PROPN
fcis-25716	117	31	cc	cc	PROPN
fcis-25716	117	32	ee	ee	PROPN
fcis-25716	117	33	e	e	PROPN
fcis-25716	117	34	ee	ee	ADP
fcis-25716	117	35	e	e	PROPN
fcis-25716	117	36	w	w	PROPN
fcis-25716	117	37			PROPN
fcis-25716	117	38	w	w	PROPN
fcis-25716	117	39	(	(	PUNCT
fcis-25716	117	40	5	5	NUM
fcis-25716	117	41	)	)	SYM
fcis-25716	117	42	2	2	NUM
fcis-25716	117	43	'	'	SYM
fcis-25716	117	44	2	2	NUM
fcis-25716	117	45	'	'	NUM
fcis-25716	117	46	21	21	NUM
fcis-25716	117	47	'	'	NUM
fcis-25716	117	48	1	1	NUM
fcis-25716	117	49	'	'	NUM
fcis-25716	117	50	1	1	NUM
fcis-25716	117	51	*	*	NOUN
fcis-25716	117	52	)	)	PUNCT
fcis-25716	117	53	(	(	PUNCT
fcis-25716	117	54	*	*	NOUN
fcis-25716	117	55	)	)	PUNCT
fcis-25716	117	56	(	(	PUNCT
fcis-25716	117	57	twwtwwput	twwtwwput	PROPN
fcis-25716	117	58	scc	scc	PROPN
fcis-25716	117	59			PROPN
fcis-25716	117	60	sout	sout	PROPN
fcis-25716	117	61	(	(	PUNCT
fcis-25716	117	62	6	6	NUM
fcis-25716	117	63	)	)	PUNCT
fcis-25716	117	64	figure	figure	NOUN
fcis-25716	117	65	3	3	NUM
fcis-25716	117	66	.	.	PUNCT
fcis-25716	118	1	(	(	PUNCT
fcis-25716	118	2	a	a	NOUN
fcis-25716	118	3	)	)	PUNCT
fcis-25716	118	4	.	.	PUNCT
fcis-25716	119	1	sfa	sfa	PROPN
fcis-25716	119	2	block	block	NOUN
fcis-25716	119	3	.	.	PUNCT
fcis-25716	120	1	it	it	PRON
fcis-25716	120	2	is	be	AUX
fcis-25716	120	3	embedded	embed	VERB
fcis-25716	120	4	with	with	ADP
fcis-25716	120	5	the	the	DET
fcis-25716	120	6	cbam	cbam	NOUN
fcis-25716	120	7	module	module	NOUN
fcis-25716	120	8	as	as	ADP
fcis-25716	120	9	a	a	DET
fcis-25716	120	10	new	new	ADJ
fcis-25716	120	11	whole	whole	NOUN
fcis-25716	120	12	for	for	ADP
fcis-25716	120	13	implementing	implement	VERB
fcis-25716	120	14	skip	skip	ADJ
fcis-25716	120	15	connections	connection	NOUN
fcis-25716	120	16	.	.	PUNCT
fcis-25716	121	1	(	(	PUNCT
fcis-25716	121	2	b	b	NOUN
fcis-25716	121	3	)	)	PUNCT
fcis-25716	121	4	.	.	PUNCT
fcis-25716	122	1	cbam	cbam	NOUN
fcis-25716	122	2	block	block	NOUN
fcis-25716	122	3	.	.	PUNCT
fcis-25716	123	1	it	it	PRON
fcis-25716	123	2	includes	include	VERB
fcis-25716	123	3	channel	channel	NOUN
fcis-25716	123	4	attention	attention	NOUN
fcis-25716	123	5	module	module	NOUN
fcis-25716	123	6	and	and	CCONJ
fcis-25716	123	7	spatial	spatial	ADJ
fcis-25716	123	8	attention	attention	NOUN
fcis-25716	123	9	module	module	NOUN
fcis-25716	123	10	the	the	DET
fcis-25716	123	11	equation	equation	NOUN
fcis-25716	123	12	3	3	NUM
fcis-25716	123	13	shows	show	VERB
fcis-25716	123	14	that	that	SCONJ
fcis-25716	123	15	in	in	ADP
fcis-25716	123	16	the	the	DET
fcis-25716	123	17	channel	channel	NOUN
fcis-25716	123	18	branch	branch	NOUN
fcis-25716	123	19	,	,	PUNCT
fcis-25716	123	20	the	the	DET
fcis-25716	123	21	dual	dual	ADJ
fcis-25716	123	22	temporal	temporal	ADJ
fcis-25716	123	23	features	feature	NOUN
fcis-25716	123	24	of	of	ADP
fcis-25716	123	25	the	the	DET
fcis-25716	123	26	input	input	NOUN
fcis-25716	123	27	aggregate	aggregate	VERB
fcis-25716	123	28	spatial	spatial	ADJ
fcis-25716	123	29	information	information	NOUN
fcis-25716	123	30	through	through	ADP
fcis-25716	123	31	global	global	ADJ
fcis-25716	123	32	pooling	pooling	NOUN
fcis-25716	123	33	across	across	ADP
fcis-25716	123	34	spatial	spatial	ADJ
fcis-25716	123	35	dimensions	dimension	NOUN
fcis-25716	123	36	.	.	PUNCT
fcis-25716	124	1	where	where	SCONJ
fcis-25716	124	2	cs	cs	PROPN
fcis-25716	124	3	denotes	denote	VERB
fcis-25716	124	4	the	the	DET
fcis-25716	124	5	aggregated	aggregated	ADJ
fcis-25716	124	6	spatial	spatial	ADJ
fcis-25716	124	7	features	feature	NOUN
fcis-25716	124	8	,	,	PUNCT
fcis-25716	124	9	1	1	NUM
fcis-25716	124	10	t	t	NOUN
fcis-25716	124	11	and	and	CCONJ
fcis-25716	124	12	2	2	NUM
fcis-25716	124	13	t	t	NOUN
fcis-25716	124	14	denote	denote	VERB
fcis-25716	124	15	bitemporal	bitemporal	ADJ
fcis-25716	124	16	features	feature	NOUN
fcis-25716	124	17	,	,	PUNCT
fcis-25716	124	18	and	and	CCONJ
fcis-25716	124	19	avg	avg	PROPN
fcis-25716	124	20	(	(	PUNCT
fcis-25716	124	21	·	·	PUNCT
fcis-25716	124	22	)	)	PUNCT
fcis-25716	124	23	and	and	CCONJ
fcis-25716	124	24	max	max	PROPN
fcis-25716	124	25	(	(	PUNCT
fcis-25716	124	26	·	·	PUNCT
fcis-25716	124	27	)	)	PUNCT
fcis-25716	124	28	denote	denote	VERB
fcis-25716	124	29	global	global	ADJ
fcis-25716	124	30	average	average	ADJ
fcis-25716	124	31	pooling	pooling	NOUN
fcis-25716	124	32	and	and	CCONJ
fcis-25716	124	33	global	global	ADJ
fcis-25716	124	34	max	max	PROPN
fcis-25716	124	35	-	-	PUNCT
fcis-25716	124	36	pooling	pooling	NOUN
fcis-25716	124	37	across	across	ADP
fcis-25716	124	38	spatial	spatial	ADJ
fcis-25716	124	39	dimension	dimension	NOUN
fcis-25716	124	40	,	,	PUNCT
fcis-25716	124	41	respectively	respectively	ADV
fcis-25716	124	42	.	.	PUNCT
fcis-25716	125	1	the	the	DET
fcis-25716	125	2	equation	equation	NOUN
fcis-25716	125	3	4	4	NUM
fcis-25716	125	4	and	and	CCONJ
fcis-25716	125	5	equation	equation	NOUN
fcis-25716	125	6	5	5	NUM
fcis-25716	125	7	show	show	VERB
fcis-25716	125	8	the	the	DET
fcis-25716	125	9	aggregate	aggregate	ADJ
fcis-25716	125	10	calculation	calculation	NOUN
fcis-25716	125	11	of	of	ADP
fcis-25716	125	12	bitemporal	bitemporal	ADJ
fcis-25716	125	13	channel	channel	NOUN
fcis-25716	125	14	weights	weight	NOUN
fcis-25716	125	15	and	and	CCONJ
fcis-25716	125	16	bitemporal	bitemporal	ADJ
fcis-25716	125	17	spatial	spatial	ADJ
fcis-25716	125	18	weights	weight	NOUN
fcis-25716	125	19	.	.	PUNCT
fcis-25716	126	1	the	the	DET
fcis-25716	126	2	equation	equation	NOUN
fcis-25716	126	3	6	6	NUM
fcis-25716	126	4	shows	show	VERB
fcis-25716	126	5	when	when	SCONJ
fcis-25716	126	6	the	the	DET
fcis-25716	126	7	sum	sum	NOUN
fcis-25716	126	8	of	of	ADP
fcis-25716	126	9	bitemporal	bitemporal	ADJ
fcis-25716	126	10	features	feature	NOUN
fcis-25716	126	11	is	be	AUX
fcis-25716	126	12	1	1	NUM
fcis-25716	126	13	,	,	PUNCT
fcis-25716	126	14	the	the	DET
fcis-25716	126	15	useful	useful	ADJ
fcis-25716	126	16	part	part	NOUN
fcis-25716	126	17	between	between	ADP
fcis-25716	126	18	the	the	DET
fcis-25716	126	19	two	two	NUM
fcis-25716	126	20	-	-	PUNCT
fcis-25716	126	21	time	time	NOUN
fcis-25716	126	22	features	feature	NOUN
fcis-25716	126	23	is	be	AUX
fcis-25716	126	24	retained	retain	VERB
fcis-25716	126	25	,	,	PUNCT
fcis-25716	126	26	and	and	CCONJ
fcis-25716	126	27	the	the	DET
fcis-25716	126	28	useless	useless	ADJ
fcis-25716	126	29	part	part	NOUN
fcis-25716	126	30	is	be	AUX
fcis-25716	126	31	discarded	discard	VERB
fcis-25716	126	32	,	,	PUNCT
fcis-25716	126	33	so	so	SCONJ
fcis-25716	126	34	as	as	SCONJ
fcis-25716	126	35	to	to	PART
fcis-25716	126	36	achieve	achieve	VERB
fcis-25716	126	37	effective	effective	ADJ
fcis-25716	126	38	feature	feature	NOUN
fcis-25716	126	39	fusion	fusion	NOUN
fcis-25716	126	40	output	output	NOUN
fcis-25716	126	41	.	.	PUNCT
fcis-25716	127	1	in	in	ADP
fcis-25716	127	2	the	the	DET
fcis-25716	127	3	second	second	ADJ
fcis-25716	127	4	stage	stage	NOUN
fcis-25716	127	5	,	,	PUNCT
fcis-25716	127	6	we	we	PRON
fcis-25716	127	7	carry	carry	VERB
fcis-25716	127	8	out	out	ADP
fcis-25716	127	9	up	up	ADV
fcis-25716	127	10	-	-	PUNCT
fcis-25716	127	11	sampling	sample	VERB
fcis-25716	127	12	and	and	CCONJ
fcis-25716	127	13	enlarge	enlarge	VERB
fcis-25716	127	14	the	the	DET
fcis-25716	127	15	extracted	extract	VERB
fcis-25716	127	16	feature	feature	NOUN
fcis-25716	127	17	map	map	NOUN
fcis-25716	127	18	to	to	PART
fcis-25716	127	19	display	display	VERB
fcis-25716	127	20	images	image	NOUN
fcis-25716	127	21	with	with	ADP
fcis-25716	127	22	higher	high	ADJ
fcis-25716	127	23	resolution	resolution	NOUN
fcis-25716	127	24	.	.	PUNCT
fcis-25716	128	1	3.5	3.5	NUM
fcis-25716	128	2	.	.	PUNCT
fcis-25716	129	1	loss	loss	NOUN
fcis-25716	129	2	function	function	NOUN
fcis-25716	129	3	dice	dice	NOUN
fcis-25716	129	4	is	be	AUX
fcis-25716	129	5	the	the	DET
fcis-25716	129	6	most	most	ADV
fcis-25716	129	7	frequently	frequently	ADV
fcis-25716	129	8	used	use	VERB
fcis-25716	129	9	metric	metric	NOUN
fcis-25716	129	10	in	in	ADP
fcis-25716	129	11	medical	medical	ADJ
fcis-25716	129	12	image	image	NOUN
fcis-25716	129	13	competitions	competition	NOUN
fcis-25716	129	14	.	.	PUNCT
fcis-25716	130	1	it	it	PRON
fcis-25716	130	2	is	be	AUX
fcis-25716	130	3	a	a	DET
fcis-25716	130	4	set	set	ADJ
fcis-25716	130	5	similarity	similarity	NOUN
fcis-25716	130	6	metric	metric	NOUN
fcis-25716	130	7	,	,	PUNCT
fcis-25716	130	8	usually	usually	ADV
fcis-25716	130	9	used	use	VERB
fcis-25716	130	10	to	to	PART
fcis-25716	130	11	calculate	calculate	VERB
fcis-25716	130	12	the	the	DET
fcis-25716	130	13	similarity	similarity	NOUN
fcis-25716	130	14	of	of	ADP
fcis-25716	130	15	two	two	NUM
fcis-25716	130	16	samples	sample	NOUN
fcis-25716	130	17	,	,	PUNCT
fcis-25716	130	18	and	and	CCONJ
fcis-25716	130	19	the	the	DET
fcis-25716	130	20	value	value	NOUN
fcis-25716	130	21	threshold	threshold	NOUN
fcis-25716	130	22	is	be	AUX
fcis-25716	130	23	[	[	X
fcis-25716	130	24	0	0	NUM
fcis-25716	130	25	,	,	PUNCT
fcis-25716	130	26	1	1	NUM
fcis-25716	130	27	]	]	PUNCT
fcis-25716	130	28	.	.	PUNCT
fcis-25716	131	1	the	the	DET
fcis-25716	131	2	number	number	NOUN
fcis-25716	131	3	of	of	ADP
fcis-25716	131	4	pixels	pixel	NOUN
fcis-25716	131	5	in	in	ADP
fcis-25716	131	6	the	the	DET
fcis-25716	131	7	polyp	polyp	NOUN
fcis-25716	131	8	and	and	CCONJ
fcis-25716	131	9	background	background	NOUN
fcis-25716	131	10	is	be	AUX
fcis-25716	131	11	usually	usually	ADV
fcis-25716	131	12	unbalanced	unbalanced	ADJ
fcis-25716	131	13	.	.	PUNCT
fcis-25716	132	1	the	the	DET
fcis-25716	132	2	dice	dice	NOUN
fcis-25716	132	3	loss	loss	NOUN
fcis-25716	132	4	function	function	NOUN
fcis-25716	132	5	directly	directly	ADV
fcis-25716	132	6	measures	measure	VERB
fcis-25716	132	7	the	the	DET
fcis-25716	132	8	degree	degree	NOUN
fcis-25716	132	9	of	of	ADP
fcis-25716	132	10	overlap	overlap	NOUN
fcis-25716	132	11	between	between	ADP
fcis-25716	132	12	the	the	DET
fcis-25716	132	13	predicted	predict	VERB
fcis-25716	132	14	segmentation	segmentation	NOUN
fcis-25716	132	15	result	result	NOUN
fcis-25716	132	16	and	and	CCONJ
fcis-25716	132	17	the	the	DET
fcis-25716	132	18	real	real	ADJ
fcis-25716	132	19	label	label	NOUN
fcis-25716	132	20	.	.	PUNCT
fcis-25716	133	1	it	it	PRON
fcis-25716	133	2	minimizes	minimize	VERB
fcis-25716	133	3	segmentation	segmentation	NOUN
fcis-25716	133	4	errors	error	NOUN
fcis-25716	133	5	by	by	ADP
fcis-25716	133	6	maximizing	maximize	VERB
fcis-25716	133	7	the	the	DET
fcis-25716	133	8	intersection	intersection	NOUN
fcis-25716	133	9	between	between	ADP
fcis-25716	133	10	predictions	prediction	NOUN
fcis-25716	133	11	and	and	CCONJ
fcis-25716	133	12	actual	actual	ADJ
fcis-25716	133	13	labels	label	NOUN
fcis-25716	133	14	,	,	PUNCT
fcis-25716	133	15	and	and	CCONJ
fcis-25716	133	16	is	be	AUX
fcis-25716	133	17	especially	especially	ADV
fcis-25716	133	18	effective	effective	ADJ
fcis-25716	133	19	for	for	ADP
fcis-25716	133	20	tasks	task	NOUN
fcis-25716	133	21	that	that	PRON
fcis-25716	133	22	require	require	VERB
fcis-25716	133	23	precise	precise	ADJ
fcis-25716	133	24	segmentation	segmentation	NOUN
fcis-25716	133	25	.	.	PUNCT
fcis-25716	134	1	however	however	ADV
fcis-25716	134	2	,	,	PUNCT
fcis-25716	134	3	it	it	PRON
fcis-25716	134	4	still	still	ADV
fcis-25716	134	5	has	have	VERB
fcis-25716	134	6	some	some	DET
fcis-25716	134	7	drawbacks	drawback	NOUN
fcis-25716	134	8	,	,	PUNCT
fcis-25716	134	9	one	one	NUM
fcis-25716	134	10	of	of	ADP
fcis-25716	134	11	which	which	PRON
fcis-25716	134	12	is	be	AUX
fcis-25716	134	13	that	that	SCONJ
fcis-25716	134	14	it	it	PRON
fcis-25716	134	15	also	also	ADV
fcis-25716	134	16	weighs	weigh	VERB
fcis-25716	134	17	false	false	ADJ
fcis-25716	134	18	positive	positive	ADJ
fcis-25716	134	19	(	(	PUNCT
fcis-25716	134	20	fp	fp	NOUN
fcis-25716	134	21	)	)	PUNCT
fcis-25716	134	22	and	and	CCONJ
fcis-25716	134	23	false	false	ADJ
fcis-25716	134	24	negative	negative	ADJ
fcis-25716	134	25	(	(	PUNCT
fcis-25716	134	26	fn	fn	NOUN
fcis-25716	134	27	)	)	PUNCT
fcis-25716	134	28	tests	test	NOUN
fcis-25716	134	29	.	.	PUNCT
fcis-25716	135	1	in	in	ADP
fcis-25716	135	2	practical	practical	ADJ
fcis-25716	135	3	applications	application	NOUN
fcis-25716	135	4	,	,	PUNCT
fcis-25716	135	5	this	this	PRON
fcis-25716	135	6	results	result	NOUN
fcis-25716	135	7	in	in	ADP
fcis-25716	135	8	high	high	ADJ
fcis-25716	135	9	precision	precision	NOUN
fcis-25716	135	10	of	of	ADP
fcis-25716	135	11	segmentation	segmentation	NOUN
fcis-25716	135	12	maps	map	NOUN
fcis-25716	135	13	,	,	PUNCT
fcis-25716	135	14	but	but	CCONJ
fcis-25716	135	15	low	low	ADJ
fcis-25716	135	16	recall	recall	NOUN
fcis-25716	135	17	rate	rate	NOUN
fcis-25716	135	18	.	.	PUNCT
fcis-25716	136	1	figure	figure	NOUN
fcis-25716	136	2	4	4	NUM
fcis-25716	136	3	.	.	PUNCT
fcis-25716	136	4	temporal	temporal	ADJ
fcis-25716	136	5	fusion	fusion	NOUN
fcis-25716	136	6	attention	attention	NOUN
fcis-25716	136	7	module	module	NOUN
fcis-25716	136	8	to	to	PART
fcis-25716	136	9	solve	solve	VERB
fcis-25716	136	10	similar	similar	ADJ
fcis-25716	136	11	problems	problem	NOUN
fcis-25716	136	12	,	,	PUNCT
fcis-25716	136	13	we	we	PRON
fcis-25716	136	14	introduce	introduce	VERB
fcis-25716	136	15	a	a	DET
fcis-25716	136	16	new	new	ADJ
fcis-25716	136	17	loss	loss	NOUN
fcis-25716	136	18	function	function	NOUN
fcis-25716	136	19	.	.	PUNCT
fcis-25716	137	1	the	the	DET
fcis-25716	137	2	tversky[27	tversky[27	PROPN
fcis-25716	137	3	]	]	PUNCT
fcis-25716	137	4	similarity	similarity	NOUN
fcis-25716	137	5	index	index	NOUN
fcis-25716	137	6	is	be	AUX
fcis-25716	137	7	a	a	DET
fcis-25716	137	8	generalization	generalization	NOUN
fcis-25716	137	9	of	of	ADP
fcis-25716	137	10	the	the	DET
fcis-25716	137	11	dice	dice	NOUN
fcis-25716	137	12	score	score	NOUN
fcis-25716	137	13	which	which	PRON
fcis-25716	137	14	allows	allow	VERB
fcis-25716	137	15	for	for	ADP
fcis-25716	137	16	flexibility	flexibility	NOUN
fcis-25716	137	17	in	in	ADP
fcis-25716	137	18	balancing	balance	VERB
fcis-25716	137	19	fp	fp	PROPN
fcis-25716	137	20	and	and	CCONJ
fcis-25716	137	21	fns	fns	PROPN
fcis-25716	137	22	:	:	PUNCT
fcis-25716	137	23			X
fcis-25716	137	24			ADV
fcis-25716	137	25			X
fcis-25716	137	26			NUM
fcis-25716	137	27			NUM
fcis-25716	137	28			NUM
fcis-25716	137	29			NOUN
fcis-25716	137	30			PUNCT
fcis-25716	137	31			PROPN
fcis-25716	137	32	n	n	CCONJ
fcis-25716	137	33	i	i	PRON
fcis-25716	138	1	n	n	VERB
fcis-25716	138	2	i	i	PRON
fcis-25716	138	3	ciicic	ciicic	VERB
fcis-25716	139	1	n	n	INTJ
fcis-25716	139	2	i	i	PRON
fcis-25716	139	3	ciicic	ciicic	PROPN
fcis-25716	139	4	icic	icic	PROPN
fcis-25716	139	5	gpgpgp	gpgpgp	PROPN
fcis-25716	139	6	gp	gp	NOUN
fcis-25716	139	7	1	1	NUM
fcis-25716	139	8	11	11	NUM
fcis-25716	139	9	1	1	NUM
fcis-25716	139	10			NOUN
fcis-25716	139	11	n	n	NOUN
fcis-25716	139	12	i	i	PRON
fcis-25716	139	13	cti	cti	PROPN
fcis-25716	139	14	(	(	PUNCT
fcis-25716	139	15	7	7	NUM
fcis-25716	139	16	)	)	PUNCT
fcis-25716	139	17	where	where	SCONJ
fcis-25716	139	18	,	,	PUNCT
fcis-25716	139	19	icp	icp	PROPN
fcis-25716	139	20	is	be	AUX
fcis-25716	139	21	the	the	DET
fcis-25716	139	22	probability	probability	NOUN
fcis-25716	140	1	that	that	SCONJ
fcis-25716	140	2	pixel	pixel	PROPN
fcis-25716	140	3	i	i	PRON
fcis-25716	140	4	is	be	AUX
fcis-25716	140	5	of	of	ADP
fcis-25716	140	6	the	the	DET
fcis-25716	140	7	lesion	lesion	NOUN
fcis-25716	140	8	class	class	NOUN
fcis-25716	140	9	c	c	PROPN
fcis-25716	140	10	and	and	CCONJ
fcis-25716	140	11	ci	ci	PROPN
fcis-25716	140	12	p	p	NOUN
fcis-25716	140	13	is	be	AUX
fcis-25716	140	14	the	the	DET
fcis-25716	140	15	probability	probability	NOUN
fcis-25716	140	16	pixel	pixel	NOUN
fcis-25716	140	17	i	i	PRON
fcis-25716	140	18	is	be	AUX
fcis-25716	140	19	of	of	ADP
fcis-25716	140	20	the	the	DET
fcis-25716	140	21	nonlesion	nonlesion	NOUN
fcis-25716	140	22	class	class	NOUN
fcis-25716	140	23	,	,	PUNCT
fcis-25716	140	24	c	c	NOUN
fcis-25716	140	25	.	.	PUNCT
fcis-25716	140	26	.	.	PUNCT
fcis-25716	141	1	the	the	DET
fcis-25716	141	2	same	same	ADJ
fcis-25716	141	3	is	be	AUX
fcis-25716	141	4	true	true	ADJ
fcis-25716	141	5	for	for	ADP
fcis-25716	141	6	icg	icg	NOUN
fcis-25716	141	7	and	and	CCONJ
fcis-25716	141	8	ci	ci	NOUN
fcis-25716	141	9	g	g	PROPN
fcis-25716	141	10	,	,	PUNCT
fcis-25716	141	11	respectively	respectively	ADV
fcis-25716	141	12	.	.	PUNCT
fcis-25716	142	1	hyper	hyper	ADJ
fcis-25716	142	2	parameters	parameter	NOUN
fcis-25716	142	3	α	α	PROPN
fcis-25716	142	4	and	and	CCONJ
fcis-25716	142	5	β	β	X
fcis-25716	142	6	can	can	AUX
fcis-25716	142	7	be	be	AUX
fcis-25716	142	8	tuned	tune	VERB
fcis-25716	142	9	to	to	PART
fcis-25716	142	10	shift	shift	VERB
fcis-25716	142	11	the	the	DET
fcis-25716	142	12	emphasis	emphasis	NOUN
fcis-25716	142	13	to	to	PART
fcis-25716	142	14	improve	improve	VERB
fcis-25716	142	15	recall	recall	NOUN
fcis-25716	142	16	in	in	ADP
fcis-25716	142	17	the	the	DET
fcis-25716	142	18	case	case	NOUN
fcis-25716	142	19	of	of	ADP
fcis-25716	142	20	large	large	ADJ
fcis-25716	142	21	class	class	NOUN
fcis-25716	142	22	imbalance	imbalance	NOUN
fcis-25716	142	23	.	.	PUNCT
fcis-25716	143	1	the	the	DET
fcis-25716	143	2	tversky	tversky	NOUN
fcis-25716	143	3	[	[	X
fcis-25716	143	4	27	27	NUM
fcis-25716	143	5	]	]	PUNCT
fcis-25716	143	6	index	index	NOUN
fcis-25716	143	7	is	be	AUX
fcis-25716	143	8	adapted	adapt	VERB
fcis-25716	143	9	to	to	ADP
fcis-25716	143	10	a	a	DET
fcis-25716	143	11	loss	loss	NOUN
fcis-25716	143	12	36	36	NUM
fcis-25716	143	13	function	function	NOUN
fcis-25716	143	14	(	(	PUNCT
fcis-25716	143	15	tl	tl	PROPN
fcis-25716	143	16	)	)	PUNCT
fcis-25716	143	17	in	in	ADP
fcis-25716	143	18	by	by	ADP
fcis-25716	143	19	minimizing	minimize	VERB
fcis-25716	143	20			X
fcis-25716	143	21			PROPN
fcis-25716	143	22	c	c	PROPN
fcis-25716	143	23	cti1	cti1	PROPN
fcis-25716	143	24	.	.	PUNCT
fcis-25716	144	1	by	by	ADP
fcis-25716	144	2	using	use	VERB
fcis-25716	144	3	this	this	DET
fcis-25716	144	4	loss	loss	NOUN
fcis-25716	144	5	function	function	NOUN
fcis-25716	144	6	,	,	PUNCT
fcis-25716	144	7	we	we	PRON
fcis-25716	144	8	can	can	AUX
fcis-25716	144	9	achieve	achieve	VERB
fcis-25716	144	10	faster	fast	ADJ
fcis-25716	144	11	training	training	NOUN
fcis-25716	144	12	speeds	speed	NOUN
fcis-25716	144	13	and	and	CCONJ
fcis-25716	144	14	higher	high	ADJ
fcis-25716	144	15	training	training	NOUN
fcis-25716	144	16	accuracy	accuracy	NOUN
fcis-25716	144	17	.	.	PUNCT
fcis-25716	145	1	4	4	X
fcis-25716	145	2	.	.	X
fcis-25716	145	3	experiments	experiment	NOUN
fcis-25716	145	4	4.1	4.1	NUM
fcis-25716	145	5	.	.	PUNCT
fcis-25716	146	1	dataset	dataset	VERB
fcis-25716	146	2	our	our	PRON
fcis-25716	146	3	experiment	experiment	NOUN
fcis-25716	146	4	dataset	dataset	NOUN
fcis-25716	146	5	followed	follow	VERB
fcis-25716	146	6	the	the	DET
fcis-25716	146	7	experimental	experimental	ADJ
fcis-25716	146	8	setup	setup	NOUN
fcis-25716	146	9	of	of	ADP
fcis-25716	146	10	parnet	parnet	NOUN
fcis-25716	146	11	:	:	PUNCT
fcis-25716	146	12	it	it	PRON
fcis-25716	146	13	contains	contain	VERB
fcis-25716	146	14	900	900	NUM
fcis-25716	146	15	images	image	NOUN
fcis-25716	146	16	from	from	ADP
fcis-25716	146	17	the	the	DET
fcis-25716	146	18	kvasir	kvasir	PROPN
fcis-25716	146	19	-	-	PUNCT
fcis-25716	146	20	seg[20	seg[20	NOUN
fcis-25716	146	21	]	]	PUNCT
fcis-25716	146	22	dataset	dataset	NOUN
fcis-25716	146	23	and	and	CCONJ
fcis-25716	146	24	550	550	NUM
fcis-25716	146	25	images	image	NOUN
fcis-25716	146	26	from	from	ADP
fcis-25716	146	27	the	the	DET
fcis-25716	146	28	cvc	cvc	NOUN
fcis-25716	146	29	-	-	PUNCT
fcis-25716	146	30	clinicdb[21	clinicdb[21	NOUN
fcis-25716	146	31	]	]	PUNCT
fcis-25716	146	32	dataset	dataset	NOUN
fcis-25716	146	33	.	.	PUNCT
fcis-25716	147	1	for	for	ADP
fcis-25716	147	2	these	these	DET
fcis-25716	147	3	datasets	dataset	NOUN
fcis-25716	147	4	,	,	PUNCT
fcis-25716	147	5	we	we	PRON
fcis-25716	147	6	provide	provide	VERB
fcis-25716	147	7	detailed	detailed	ADJ
fcis-25716	147	8	evaluations	evaluation	NOUN
fcis-25716	147	9	on	on	ADP
fcis-25716	147	10	several	several	ADJ
fcis-25716	147	11	metrics	metric	NOUN
fcis-25716	147	12	,	,	PUNCT
fcis-25716	147	13	including	include	VERB
fcis-25716	147	14	mean	mean	ADJ
fcis-25716	147	15	intersection	intersection	NOUN
fcis-25716	147	16	over	over	ADP
fcis-25716	147	17	union(miou	union(miou	PROPN
fcis-25716	147	18	)	)	PUNCT
fcis-25716	147	19	,	,	PUNCT
fcis-25716	147	20	dice	dice	NOUN
fcis-25716	147	21	similarity	similarity	NOUN
fcis-25716	147	22	coefficient	coefficient	NOUN
fcis-25716	147	23	(	(	PUNCT
fcis-25716	147	24	dsc	dsc	NOUN
fcis-25716	147	25	)	)	PUNCT
fcis-25716	147	26	,	,	PUNCT
fcis-25716	147	27	accuracy	accuracy	NOUN
fcis-25716	147	28	(	(	PUNCT
fcis-25716	147	29	acc	acc	PROPN
fcis-25716	147	30	)	)	PUNCT
fcis-25716	147	31	,	,	PUNCT
fcis-25716	147	32	precision	precision	NOUN
fcis-25716	147	33	(	(	PUNCT
fcis-25716	147	34	pre	pre	NOUN
fcis-25716	147	35	)	)	PUNCT
fcis-25716	147	36	.	.	PUNCT
fcis-25716	148	1	in	in	ADP
fcis-25716	148	2	the	the	DET
fcis-25716	148	3	benchmark	benchmark	NOUN
fcis-25716	148	4	testing	testing	NOUN
fcis-25716	148	5	,	,	PUNCT
fcis-25716	148	6	we	we	PRON
fcis-25716	148	7	selected	select	VERB
fcis-25716	148	8	four	four	NUM
fcis-25716	148	9	popular	popular	ADJ
fcis-25716	148	10	datasets	dataset	NOUN
fcis-25716	148	11	:	:	PUNCT
fcis-25716	148	12	we	we	PRON
fcis-25716	148	13	use	use	VERB
fcis-25716	148	14	the	the	DET
fcis-25716	148	15	remaining	remain	VERB
fcis-25716	148	16	part	part	NOUN
fcis-25716	148	17	of	of	ADP
fcis-25716	148	18	the	the	DET
fcis-25716	148	19	kvasir	kvasir	NOUN
fcis-25716	148	20	-	-	PUNCT
fcis-25716	148	21	seg[20	seg[20	NOUN
fcis-25716	148	22	]	]	PUNCT
fcis-25716	148	23	,	,	PUNCT
fcis-25716	148	24	cvc	cvc	NOUN
fcis-25716	148	25	-	-	PUNCT
fcis-25716	148	26	clinicdb[21	clinicdb[21	NOUN
fcis-25716	148	27	]	]	X
fcis-25716	148	28	,	,	PUNCT
fcis-25716	148	29	cvc	cvc	NOUN
fcis-25716	148	30	-	-	NOUN
fcis-25716	148	31	colondb[22	colondb[22	NOUN
fcis-25716	148	32	]	]	PUNCT
fcis-25716	148	33	,	,	PUNCT
fcis-25716	148	34	and	and	CCONJ
fcis-25716	148	35	etis[23	etis[23	PROPN
fcis-25716	148	36	]	]	X
fcis-25716	148	37	datasets	dataset	NOUN
fcis-25716	148	38	for	for	ADP
fcis-25716	148	39	benchmark	benchmark	NOUN
fcis-25716	148	40	testing	testing	NOUN
fcis-25716	148	41	.	.	PUNCT
fcis-25716	149	1	to	to	PART
fcis-25716	149	2	ensure	ensure	VERB
fcis-25716	149	3	fairness	fairness	NOUN
fcis-25716	149	4	of	of	ADP
fcis-25716	149	5	the	the	DET
fcis-25716	149	6	data	datum	NOUN
fcis-25716	149	7	and	and	CCONJ
fcis-25716	149	8	facilitate	facilitate	VERB
fcis-25716	149	9	accurate	accurate	ADJ
fcis-25716	149	10	evaluation	evaluation	NOUN
fcis-25716	149	11	of	of	ADP
fcis-25716	149	12	the	the	DET
fcis-25716	149	13	model	model	NOUN
fcis-25716	149	14	's	's	PART
fcis-25716	149	15	generalization	generalization	NOUN
fcis-25716	149	16	,	,	PUNCT
fcis-25716	149	17	all	all	DET
fcis-25716	149	18	test	test	NOUN
fcis-25716	149	19	data	datum	NOUN
fcis-25716	149	20	is	be	AUX
fcis-25716	149	21	not	not	PART
fcis-25716	149	22	included	include	VERB
fcis-25716	149	23	in	in	ADP
fcis-25716	149	24	the	the	DET
fcis-25716	149	25	training	training	NOUN
fcis-25716	149	26	data	datum	NOUN
fcis-25716	149	27	.	.	PUNCT
fcis-25716	150	1	table	table	NOUN
fcis-25716	150	2	1	1	NUM
fcis-25716	150	3	.	.	PUNCT
fcis-25716	151	1	the	the	DET
fcis-25716	151	2	description	description	NOUN
fcis-25716	151	3	of	of	ADP
fcis-25716	151	4	datasets	dataset	NOUN
fcis-25716	151	5	contains	contain	VERB
fcis-25716	151	6	the	the	DET
fcis-25716	151	7	number	number	NOUN
fcis-25716	151	8	of	of	ADP
fcis-25716	151	9	images	image	NOUN
fcis-25716	151	10	and	and	CCONJ
fcis-25716	151	11	the	the	DET
fcis-25716	151	12	image	image	NOUN
fcis-25716	151	13	’s	’s	PART
fcis-25716	151	14	resolution	resolution	NOUN
fcis-25716	151	15	.	.	PUNCT
fcis-25716	152	1	dataset	dataset	NOUN
fcis-25716	152	2	resolution	resolution	NOUN
fcis-25716	152	3	samples	sample	VERB
fcis-25716	152	4	kvasir	kvasir	NOUN
fcis-25716	152	5	-	-	PUNCT
fcis-25716	152	6	seg[20	seg[20	NOUN
fcis-25716	152	7	]	]	PUNCT
fcis-25716	152	8	332×487~1920×1072	332×487~1920×1072	NUM
fcis-25716	152	9	1000	1000	NUM
fcis-25716	152	10	cvc	cvc	NOUN
fcis-25716	152	11	-	-	PUNCT
fcis-25716	152	12	clinicdb[21	clinicdb[21	NOUN
fcis-25716	152	13	]	]	PUNCT
fcis-25716	152	14	384×288	384×288	NUM
fcis-25716	152	15	612	612	NUM
fcis-25716	152	16	cvc	cvc	NOUN
fcis-25716	152	17	-	-	PUNCT
fcis-25716	152	18	colondb[22	colondb[22	NOUN
fcis-25716	152	19	]	]	X
fcis-25716	152	20	574×500	574×500	NUM
fcis-25716	152	21	380	380	NUM
fcis-25716	152	22	etis[23	etis[23	PROPN
fcis-25716	152	23	]	]	X
fcis-25716	152	24	1225×966	1225×966	NUM
fcis-25716	152	25	196	196	NUM
fcis-25716	152	26	4.2	4.2	NUM
fcis-25716	152	27	.	.	PUNCT
fcis-25716	153	1	data	datum	NOUN
fcis-25716	153	2	enhancement	enhancement	NOUN
fcis-25716	153	3	data	datum	NOUN
fcis-25716	153	4	enhancement	enhancement	NOUN
fcis-25716	153	5	is	be	AUX
fcis-25716	153	6	a	a	DET
fcis-25716	153	7	key	key	ADJ
fcis-25716	153	8	technique	technique	NOUN
fcis-25716	153	9	to	to	PART
fcis-25716	153	10	improve	improve	VERB
fcis-25716	153	11	the	the	DET
fcis-25716	153	12	robustness	robustness	NOUN
fcis-25716	153	13	and	and	CCONJ
fcis-25716	153	14	generalization	generalization	NOUN
fcis-25716	153	15	ability	ability	NOUN
fcis-25716	153	16	of	of	ADP
fcis-25716	153	17	machine	machine	NOUN
fcis-25716	153	18	learning	learning	NOUN
fcis-25716	153	19	models	model	NOUN
fcis-25716	153	20	.	.	PUNCT
fcis-25716	154	1	in	in	ADP
fcis-25716	154	2	this	this	DET
fcis-25716	154	3	paper	paper	NOUN
fcis-25716	154	4	,	,	PUNCT
fcis-25716	154	5	we	we	PRON
fcis-25716	154	6	implement	implement	VERB
fcis-25716	154	7	data	data	NOUN
fcis-25716	154	8	enhancement	enhancement	NOUN
fcis-25716	154	9	on	on	ADP
fcis-25716	154	10	the	the	DET
fcis-25716	154	11	training	training	NOUN
fcis-25716	154	12	set	set	NOUN
fcis-25716	154	13	,	,	PUNCT
fcis-25716	154	14	which	which	PRON
fcis-25716	154	15	significantly	significantly	ADV
fcis-25716	154	16	improves	improve	VERB
fcis-25716	154	17	the	the	DET
fcis-25716	154	18	generalization	generalization	NOUN
fcis-25716	154	19	ability	ability	NOUN
fcis-25716	154	20	of	of	ADP
fcis-25716	154	21	the	the	DET
fcis-25716	154	22	model	model	NOUN
fcis-25716	154	23	.	.	PUNCT
fcis-25716	155	1	the	the	DET
fcis-25716	155	2	enhanced	enhance	VERB
fcis-25716	155	3	technologies	technology	NOUN
fcis-25716	155	4	used	use	VERB
fcis-25716	155	5	include	include	VERB
fcis-25716	155	6	:	:	PUNCT
fcis-25716	155	7			ADJ
fcis-25716	155	8	horizontal	horizontal	ADJ
fcis-25716	155	9	and	and	CCONJ
fcis-25716	155	10	vertical	vertical	ADJ
fcis-25716	155	11	flips	flip	NOUN
fcis-25716	155	12	.	.	PUNCT
fcis-25716	156	1			ADJ
fcis-25716	156	2	color	color	NOUN
fcis-25716	156	3	jitter	jitter	NOUN
fcis-25716	156	4	with	with	ADP
fcis-25716	156	5	a	a	DET
fcis-25716	156	6	brightness	brightness	NOUN
fcis-25716	156	7	factor	factor	NOUN
fcis-25716	156	8	uniformly	uniformly	ADV
fcis-25716	156	9	sampled	sample	VERB
fcis-25716	156	10	from	from	ADP
fcis-25716	156	11	[	[	X
fcis-25716	156	12	0	0	NUM
fcis-25716	156	13	.	.	NOUN
fcis-25716	156	14	6	6	NUM
fcis-25716	156	15	,	,	PUNCT
fcis-25716	156	16	1	1	NUM
fcis-25716	156	17	.	.	NOUN
fcis-25716	156	18	6	6	NUM
fcis-25716	156	19	]	]	PUNCT
fcis-25716	156	20	,	,	PUNCT
fcis-25716	156	21	a	a	DET
fcis-25716	156	22	contrast	contrast	NOUN
fcis-25716	156	23	of	of	ADP
fcis-25716	156	24	0	0	NUM
fcis-25716	156	25	.	.	NOUN
fcis-25716	156	26	2	2	NUM
fcis-25716	156	27	,	,	PUNCT
fcis-25716	156	28	a	a	DET
fcis-25716	156	29	saturation	saturation	NOUN
fcis-25716	156	30	factor	factor	NOUN
fcis-25716	156	31	of	of	ADP
fcis-25716	156	32	0	0	NUM
fcis-25716	156	33	.	.	PROPN
fcis-25716	156	34	1	1	NUM
fcis-25716	156	35	,	,	PUNCT
fcis-25716	156	36	and	and	CCONJ
fcis-25716	156	37	a	a	DET
fcis-25716	156	38	hue	hue	NOUN
fcis-25716	156	39	factor	factor	NOUN
fcis-25716	156	40	of	of	ADP
fcis-25716	156	41	0	0	NUM
fcis-25716	156	42	.	.	PROPN
fcis-25716	156	43	01	01	NUM
fcis-25716	156	44	.	.	X
fcis-25716	156	45			ADJ
fcis-25716	156	46	affine	affine	NOUN
fcis-25716	156	47	transforms	transform	VERB
fcis-25716	156	48	with	with	ADP
fcis-25716	156	49	rotations	rotation	NOUN
fcis-25716	156	50	of	of	ADP
fcis-25716	156	51	an	an	DET
fcis-25716	156	52	angle	angle	NOUN
fcis-25716	156	53	sampled	sample	VERB
fcis-25716	156	54	uniformly	uniformly	ADV
fcis-25716	156	55	from	from	ADP
fcis-25716	156	56	[	[	X
fcis-25716	156	57	−180	−180	NOUN
fcis-25716	156	58	°	°	NOUN
fcis-25716	156	59	,	,	PUNCT
fcis-25716	156	60	180	180	NUM
fcis-25716	156	61	°	°	NOUN
fcis-25716	156	62	]	]	PUNCT
fcis-25716	156	63	,	,	PUNCT
fcis-25716	156	64	horizontal	horizontal	ADJ
fcis-25716	156	65	and	and	CCONJ
fcis-25716	156	66	vertical	vertical	ADJ
fcis-25716	156	67	translations	translation	NOUN
fcis-25716	156	68	each	each	PRON
fcis-25716	156	69	of	of	ADP
fcis-25716	156	70	a	a	DET
fcis-25716	156	71	magnitude	magnitude	NOUN
fcis-25716	156	72	sampled	sample	VERB
fcis-25716	156	73	uniformly	uniformly	ADV
fcis-25716	156	74	from	from	ADP
fcis-25716	156	75	[	[	X
fcis-25716	156	76	−0	−0	NOUN
fcis-25716	156	77	.	.	PUNCT
fcis-25716	157	1	125	125	NUM
fcis-25716	157	2	,	,	PUNCT
fcis-25716	157	3	0	0	NUM
fcis-25716	157	4	.	.	NOUN
fcis-25716	157	5	125	125	NUM
fcis-25716	157	6	]	]	PUNCT
fcis-25716	157	7	,	,	PUNCT
fcis-25716	157	8	scaling	scaling	NOUN
fcis-25716	157	9	of	of	ADP
fcis-25716	157	10	a	a	DET
fcis-25716	157	11	magnitude	magnitude	NOUN
fcis-25716	157	12	sampled	sample	VERB
fcis-25716	157	13	uniformly	uniformly	ADV
fcis-25716	157	14	from	from	ADP
fcis-25716	157	15	[	[	X
fcis-25716	157	16	0	0	NUM
fcis-25716	157	17	.	.	NOUN
fcis-25716	157	18	5	5	NUM
fcis-25716	157	19	,	,	PUNCT
fcis-25716	157	20	1	1	NUM
fcis-25716	157	21	.	.	NOUN
fcis-25716	157	22	5	5	NUM
fcis-25716	157	23	]	]	PUNCT
fcis-25716	157	24	and	and	CCONJ
fcis-25716	157	25	shearing	shearing	NOUN
fcis-25716	157	26	of	of	ADP
fcis-25716	157	27	an	an	DET
fcis-25716	157	28	angle	angle	NOUN
fcis-25716	157	29	sampled	sample	VERB
fcis-25716	157	30	uniformly	uniformly	ADV
fcis-25716	157	31	from	from	ADP
fcis-25716	157	32	[	[	X
fcis-25716	157	33	−22	−22	NOUN
fcis-25716	157	34	.	.	PUNCT
fcis-25716	158	1	5	5	NUM
fcis-25716	158	2	°	°	NUM
fcis-25716	158	3	,	,	PUNCT
fcis-25716	158	4	22	22	NUM
fcis-25716	158	5	.	.	NOUN
fcis-25716	158	6	5	5	NUM
fcis-25716	158	7	°	°	NUM
fcis-25716	158	8	]	]	PUNCT
fcis-25716	158	9	.	.	PUNCT
fcis-25716	159	1			VERB
fcis-25716	159	2	all	all	DET
fcis-25716	159	3	regions	region	NOUN
fcis-25716	159	4	with	with	ADP
fcis-25716	159	5	pixel	pixel	ADJ
fcis-25716	159	6	values	value	NOUN
fcis-25716	159	7	of	of	ADP
fcis-25716	159	8	0	0	NUM
fcis-25716	159	9	were	be	AUX
fcis-25716	159	10	randomly	randomly	ADV
fcis-25716	159	11	added	add	VERB
fcis-25716	159	12	to	to	ADP
fcis-25716	159	13	the	the	DET
fcis-25716	159	14	image	image	NOUN
fcis-25716	159	15	,	,	PUNCT
fcis-25716	159	16	and	and	CCONJ
fcis-25716	159	17	noise	noise	NOUN
fcis-25716	159	18	was	be	AUX
fcis-25716	159	19	also	also	ADV
fcis-25716	159	20	added	add	VERB
fcis-25716	159	21	to	to	ADP
fcis-25716	159	22	the	the	DET
fcis-25716	159	23	regions	region	NOUN
fcis-25716	159	24	of	of	ADP
fcis-25716	159	25	the	the	DET
fcis-25716	159	26	mask	mask	NOUN
fcis-25716	159	27	at	at	ADP
fcis-25716	159	28	the	the	DET
fcis-25716	159	29	same	same	ADJ
fcis-25716	159	30	location	location	NOUN
fcis-25716	159	31	.	.	PUNCT
fcis-25716	160	1	4.3	4.3	NUM
fcis-25716	160	2	.	.	PUNCT
fcis-25716	161	1	implementation	implementation	NOUN
fcis-25716	161	2	details	detail	NOUN
fcis-25716	161	3	we	we	PRON
fcis-25716	161	4	use	use	VERB
fcis-25716	161	5	pytorch	pytorch	NOUN
fcis-25716	161	6	as	as	ADP
fcis-25716	161	7	frameworks	framework	NOUN
fcis-25716	161	8	.	.	PUNCT
fcis-25716	162	1	all	all	DET
fcis-25716	162	2	networks	network	NOUN
fcis-25716	162	3	were	be	AUX
fcis-25716	162	4	trained	train	VERB
fcis-25716	162	5	with	with	ADP
fcis-25716	162	6	described	describe	VERB
fcis-25716	162	7	augmentation	augmentation	NOUN
fcis-25716	162	8	methods	method	NOUN
fcis-25716	162	9	.	.	PUNCT
fcis-25716	163	1	we	we	PRON
fcis-25716	163	2	used	use	VERB
fcis-25716	163	3	adam	adam	PROPN
fcis-25716	163	4	optimization	optimization	NOUN
fcis-25716	163	5	with	with	ADP
fcis-25716	163	6	an	an	DET
fcis-25716	163	7	initial	initial	ADJ
fcis-25716	163	8	learning	learning	NOUN
fcis-25716	163	9	rate	rate	NOUN
fcis-25716	163	10	of	of	ADP
fcis-25716	163	11	4e1	4e1	NUM
fcis-25716	163	12			NOUN
fcis-25716	163	13	,	,	PUNCT
fcis-25716	163	14	with	with	ADP
fcis-25716	163	15	a	a	DET
fcis-25716	163	16	weight	weight	NOUN
fcis-25716	163	17	decay	decay	NOUN
fcis-25716	163	18	of	of	ADP
fcis-25716	163	19	61	61	NUM
fcis-25716	163	20	e	e	NOUN
fcis-25716	163	21	.	.	PUNCT
fcis-25716	164	1	our	our	PRON
fcis-25716	164	2	training	training	NOUN
fcis-25716	164	3	took	take	VERB
fcis-25716	164	4	place	place	NOUN
fcis-25716	164	5	on	on	ADP
fcis-25716	164	6	an	an	DET
fcis-25716	164	7	ubuntu	ubuntu	ADJ
fcis-25716	164	8	operating	operating	NOUN
fcis-25716	164	9	system	system	NOUN
fcis-25716	164	10	computer	computer	NOUN
fcis-25716	164	11	with	with	ADP
fcis-25716	164	12	an	an	DET
fcis-25716	164	13	rtx4090d	rtx4090d	NOUN
fcis-25716	164	14	gpu	gpu	NOUN
fcis-25716	164	15	for	for	ADP
fcis-25716	164	16	accelerated	accelerated	ADJ
fcis-25716	164	17	computation	computation	NOUN
fcis-25716	164	18	.	.	PUNCT
fcis-25716	165	1	4.4	4.4	NUM
fcis-25716	165	2	.	.	PUNCT
fcis-25716	165	3	results	result	VERB
fcis-25716	165	4	we	we	PRON
fcis-25716	165	5	compared	compare	VERB
fcis-25716	165	6	some	some	PRON
fcis-25716	165	7	of	of	ADP
fcis-25716	165	8	the	the	DET
fcis-25716	165	9	most	most	ADV
fcis-25716	165	10	advanced	advanced	ADJ
fcis-25716	165	11	networks	network	NOUN
fcis-25716	165	12	available	available	ADJ
fcis-25716	165	13	today	today	NOUN
fcis-25716	165	14	and	and	CCONJ
fcis-25716	165	15	achieved	achieve	VERB
fcis-25716	165	16	the	the	DET
fcis-25716	165	17	most	most	ADV
fcis-25716	165	18	advanced	advanced	ADJ
fcis-25716	165	19	results	result	NOUN
fcis-25716	165	20	.	.	PUNCT
fcis-25716	166	1	compared	compare	VERB
fcis-25716	166	2	with	with	ADP
fcis-25716	166	3	vm	vm	NOUN
fcis-25716	166	4	-	-	NOUN
fcis-25716	166	5	unet	unet	NOUN
fcis-25716	166	6	,	,	PUNCT
fcis-25716	166	7	which	which	PRON
fcis-25716	166	8	also	also	ADV
fcis-25716	166	9	uses	use	VERB
fcis-25716	166	10	v	v	NOUN
fcis-25716	166	11	-	-	PUNCT
fcis-25716	166	12	mamba	mamba	NOUN
fcis-25716	166	13	as	as	ADP
fcis-25716	166	14	the	the	DET
fcis-25716	166	15	backbone	backbone	NOUN
fcis-25716	166	16	,	,	PUNCT
fcis-25716	166	17	we	we	PRON
fcis-25716	166	18	performed	perform	VERB
fcis-25716	166	19	data	data	NOUN
fcis-25716	166	20	enhancement	enhancement	NOUN
fcis-25716	166	21	and	and	CCONJ
fcis-25716	166	22	training	training	NOUN
fcis-25716	166	23	in	in	ADP
fcis-25716	166	24	the	the	DET
fcis-25716	166	25	same	same	ADJ
fcis-25716	166	26	environment	environment	NOUN
fcis-25716	166	27	,	,	PUNCT
fcis-25716	166	28	and	and	CCONJ
fcis-25716	166	29	achieved	achieve	VERB
fcis-25716	166	30	a	a	DET
fcis-25716	166	31	6.1	6.1	NUM
fcis-25716	166	32	%	%	NOUN
fcis-25716	166	33	lead	lead	NOUN
fcis-25716	166	34	in	in	ADP
fcis-25716	166	35	the	the	DET
fcis-25716	166	36	kavirsseg	kavirsseg	PROPN
fcis-25716	166	37	dataset	dataset	NOUN
fcis-25716	166	38	and	and	CCONJ
fcis-25716	166	39	a	a	DET
fcis-25716	166	40	3.1	3.1	NUM
fcis-25716	166	41	%	%	NOUN
fcis-25716	166	42	lead	lead	NOUN
fcis-25716	166	43	in	in	ADP
fcis-25716	166	44	the	the	DET
fcis-25716	166	45	cvc	cvc	NOUN
fcis-25716	166	46	-	-	PUNCT
fcis-25716	166	47	clinicdb	clinicdb	NOUN
fcis-25716	166	48	dataset	dataset	PROPN
fcis-25716	166	49	.	.	PUNCT
fcis-25716	167	1	compared	compare	VERB
fcis-25716	167	2	with	with	ADP
fcis-25716	167	3	other	other	ADJ
fcis-25716	167	4	networks	network	NOUN
fcis-25716	167	5	of	of	ADP
fcis-25716	167	6	different	different	ADJ
fcis-25716	167	7	architectures	architecture	NOUN
fcis-25716	167	8	,	,	PUNCT
fcis-25716	167	9	we	we	PRON
fcis-25716	167	10	have	have	AUX
fcis-25716	167	11	achieved	achieve	VERB
fcis-25716	167	12	the	the	DET
fcis-25716	167	13	same	same	ADJ
fcis-25716	167	14	excellent	excellent	ADJ
fcis-25716	167	15	results	result	NOUN
fcis-25716	167	16	using	use	VERB
fcis-25716	167	17	a	a	DET
fcis-25716	167	18	lower	low	ADJ
fcis-25716	167	19	computational	computational	ADJ
fcis-25716	167	20	cost	cost	NOUN
fcis-25716	167	21	,	,	PUNCT
fcis-25716	167	22	which	which	PRON
fcis-25716	167	23	is	be	AUX
fcis-25716	167	24	enough	enough	ADJ
fcis-25716	167	25	to	to	PART
fcis-25716	167	26	prove	prove	VERB
fcis-25716	167	27	the	the	DET
fcis-25716	167	28	superiority	superiority	NOUN
fcis-25716	167	29	of	of	ADP
fcis-25716	167	30	our	our	PRON
fcis-25716	167	31	network	network	NOUN
fcis-25716	167	32	in	in	ADP
fcis-25716	167	33	the	the	DET
fcis-25716	167	34	architecture	architecture	NOUN
fcis-25716	167	35	and	and	CCONJ
fcis-25716	167	36	still	still	ADV
fcis-25716	167	37	has	have	VERB
fcis-25716	167	38	the	the	DET
fcis-25716	167	39	potential	potential	NOUN
fcis-25716	167	40	for	for	ADP
fcis-25716	167	41	development	development	NOUN
fcis-25716	167	42	in	in	ADP
fcis-25716	167	43	the	the	DET
fcis-25716	167	44	future	future	NOUN
fcis-25716	167	45	.	.	PUNCT
fcis-25716	168	1	our	our	PRON
fcis-25716	168	2	network	network	NOUN
fcis-25716	168	3	segmentation	segmentation	NOUN
fcis-25716	168	4	prediction	prediction	NOUN
fcis-25716	168	5	diagram	diagram	NOUN
fcis-25716	168	6	is	be	AUX
fcis-25716	168	7	shown	show	VERB
fcis-25716	168	8	in	in	ADP
fcis-25716	168	9	figure	figure	NOUN
fcis-25716	168	10	5	5	NUM
fcis-25716	168	11	.	.	PUNCT
fcis-25716	169	1	in	in	ADP
fcis-25716	169	2	figure	figure	NOUN
fcis-25716	169	3	5	5	NUM
fcis-25716	169	4	.	.	PUNCT
fcis-25716	169	5	a	a	PRON
fcis-25716	169	6	and	and	CCONJ
fcis-25716	169	7	b	b	NOUN
fcis-25716	169	8	,	,	PUNCT
fcis-25716	169	9	it	it	PRON
fcis-25716	169	10	can	can	AUX
fcis-25716	169	11	be	be	AUX
fcis-25716	169	12	found	find	VERB
fcis-25716	169	13	that	that	SCONJ
fcis-25716	169	14	our	our	PRON
fcis-25716	169	15	network	network	NOUN
fcis-25716	169	16	can	can	AUX
fcis-25716	169	17	accurately	accurately	ADV
fcis-25716	169	18	recognize	recognize	VERB
fcis-25716	169	19	shapes	shape	NOUN
fcis-25716	169	20	for	for	ADP
fcis-25716	169	21	small	small	ADJ
fcis-25716	169	22	defects	defect	NOUN
fcis-25716	169	23	and	and	CCONJ
fcis-25716	169	24	small	small	ADJ
fcis-25716	169	25	prominencies	prominencie	NOUN
fcis-25716	169	26	in	in	ADP
fcis-25716	169	27	the	the	DET
fcis-25716	169	28	pictures	picture	NOUN
fcis-25716	169	29	.	.	PUNCT
fcis-25716	170	1	in	in	ADP
fcis-25716	170	2	figure	figure	NOUN
fcis-25716	170	3	5	5	NUM
fcis-25716	170	4	.	.	PUNCT
fcis-25716	171	1	c	c	X
fcis-25716	171	2	,	,	PUNCT
fcis-25716	171	3	it	it	PRON
fcis-25716	171	4	can	can	AUX
fcis-25716	171	5	be	be	AUX
fcis-25716	171	6	found	find	VERB
fcis-25716	171	7	that	that	SCONJ
fcis-25716	171	8	two	two	NUM
fcis-25716	171	9	polyps	polyp	NOUN
fcis-25716	171	10	with	with	ADP
fcis-25716	171	11	very	very	ADV
fcis-25716	171	12	similar	similar	ADJ
fcis-25716	171	13	color	color	NOUN
fcis-25716	171	14	to	to	ADP
fcis-25716	171	15	the	the	DET
fcis-25716	171	16	background	background	NOUN
fcis-25716	171	17	can	can	AUX
fcis-25716	171	18	also	also	ADV
fcis-25716	171	19	be	be	AUX
fcis-25716	171	20	accurately	accurately	ADV
fcis-25716	171	21	identified	identify	VERB
fcis-25716	171	22	at	at	ADP
fcis-25716	171	23	the	the	DET
fcis-25716	171	24	boundary	boundary	NOUN
fcis-25716	171	25	.	.	PUNCT
fcis-25716	172	1	figure	figure	NOUN
fcis-25716	172	2	5	5	NUM
fcis-25716	172	3	.	.	PUNCT
fcis-25716	173	1	network	network	NOUN
fcis-25716	173	2	segmentation	segmentation	NOUN
fcis-25716	173	3	prediction	prediction	NOUN
fcis-25716	173	4	graph	graph	NOUN
fcis-25716	173	5	4.5	4.5	NUM
fcis-25716	173	6	.	.	PUNCT
fcis-25716	174	1	ablation	ablation	NOUN
fcis-25716	174	2	studies	study	NOUN
fcis-25716	174	3	figure	figure	VERB
fcis-25716	174	4	6	6	NUM
fcis-25716	174	5	.	.	PUNCT
fcis-25716	174	6	ablation	ablation	NOUN
fcis-25716	174	7	experiment	experiment	NOUN
fcis-25716	174	8	segmentation	segmentation	NOUN
fcis-25716	174	9	prediction	prediction	NOUN
fcis-25716	174	10	map	map	NOUN
fcis-25716	174	11	37	37	NUM
fcis-25716	174	12	in	in	ADP
fcis-25716	174	13	order	order	NOUN
fcis-25716	174	14	to	to	PART
fcis-25716	174	15	prove	prove	VERB
fcis-25716	174	16	the	the	DET
fcis-25716	174	17	effectiveness	effectiveness	NOUN
fcis-25716	174	18	of	of	ADP
fcis-25716	174	19	our	our	PRON
fcis-25716	174	20	work	work	NOUN
fcis-25716	174	21	,	,	PUNCT
fcis-25716	174	22	we	we	PRON
fcis-25716	174	23	verify	verify	VERB
fcis-25716	174	24	the	the	DET
fcis-25716	174	25	role	role	NOUN
fcis-25716	174	26	of	of	ADP
fcis-25716	174	27	each	each	DET
fcis-25716	174	28	module	module	NOUN
fcis-25716	174	29	by	by	ADP
fcis-25716	174	30	gradually	gradually	ADV
fcis-25716	174	31	adding	add	VERB
fcis-25716	174	32	an	an	DET
fcis-25716	174	33	improved	improved	ADJ
fcis-25716	174	34	structure	structure	NOUN
fcis-25716	174	35	on	on	ADP
fcis-25716	174	36	the	the	DET
fcis-25716	174	37	basis	basis	NOUN
fcis-25716	174	38	of	of	ADP
fcis-25716	174	39	vmunet	vmunet	NOUN
fcis-25716	174	40	.	.	PUNCT
fcis-25716	175	1	the	the	DET
fcis-25716	175	2	results	result	NOUN
fcis-25716	175	3	of	of	ADP
fcis-25716	175	4	the	the	DET
fcis-25716	175	5	ablation	ablation	NOUN
fcis-25716	175	6	experiment	experiment	NOUN
fcis-25716	175	7	are	be	AUX
fcis-25716	175	8	shown	show	VERB
fcis-25716	175	9	in	in	ADP
fcis-25716	175	10	table	table	NOUN
fcis-25716	175	11	7	7	NUM
fcis-25716	175	12	.	.	PUNCT
fcis-25716	176	1	the	the	DET
fcis-25716	176	2	segmentation	segmentation	NOUN
fcis-25716	176	3	prediction	prediction	NOUN
fcis-25716	176	4	diagram	diagram	NOUN
fcis-25716	176	5	of	of	ADP
fcis-25716	176	6	ablation	ablation	NOUN
fcis-25716	176	7	experiment	experiment	NOUN
fcis-25716	176	8	is	be	AUX
fcis-25716	176	9	shown	show	VERB
fcis-25716	176	10	in	in	ADP
fcis-25716	176	11	figure	figure	NOUN
fcis-25716	176	12	6	6	NUM
fcis-25716	176	13	.	.	PUNCT
fcis-25716	176	14	table	table	NOUN
fcis-25716	176	15	2	2	NUM
fcis-25716	176	16	.	.	PUNCT
fcis-25716	176	17	results	result	NOUN
fcis-25716	176	18	of	of	ADP
fcis-25716	176	19	kavirs	kavirs	PROPN
fcis-25716	176	20	-	-	PUNCT
fcis-25716	176	21	seg	seg	PROPN
fcis-25716	176	22	,	,	PUNCT
fcis-25716	176	23	the	the	DET
fcis-25716	176	24	best	good	ADJ
fcis-25716	176	25	results	result	NOUN
fcis-25716	176	26	are	be	AUX
fcis-25716	176	27	shown	show	VERB
fcis-25716	176	28	in	in	ADP
fcis-25716	176	29	bold	bold	ADJ
fcis-25716	176	30	.	.	PUNCT
fcis-25716	177	1	data	datum	NOUN
fcis-25716	177	2	kavirs	kavirs	PROPN
fcis-25716	177	3	-	-	PUNCT
fcis-25716	177	4	seg	seg	PROPN
fcis-25716	177	5	methods	method	NOUN
fcis-25716	178	1	mdice(%)↑	mdice(%)↑	PROPN
fcis-25716	179	1	mlou(%)↑	mlou(%)↑	NOUN
fcis-25716	179	2	mpre(%)↑	mpre(%)↑	PROPN
fcis-25716	179	3	mrec(%)↑	mrec(%)↑	PROPN
fcis-25716	179	4	u	u	NOUN
fcis-25716	179	5	-	-	PROPN
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fcis-25716	179	7	]	]	PUNCT
fcis-25716	179	8	86	86	NUM
fcis-25716	179	9	.	.	NOUN
fcis-25716	179	10	5	5	NUM
fcis-25716	179	11	76	76	NUM
fcis-25716	179	12	.	.	PUNCT
fcis-25716	179	13	3	3	NUM
fcis-25716	179	14	85	85	NUM
fcis-25716	179	15	.	.	PUNCT
fcis-25716	179	16	9	9	NUM
fcis-25716	179	17	87	87	NUM
fcis-25716	179	18	.	.	PUNCT
fcis-25716	179	19	1	1	NUM
fcis-25716	179	20	hardnet(2022)[24	hardnet(2022)[24	PROPN
fcis-25716	179	21	]	]	PUNCT
fcis-25716	179	22	86	86	NUM
fcis-25716	179	23	.	.	NOUN
fcis-25716	179	24	3	3	NUM
fcis-25716	179	25	75	75	NUM
fcis-25716	179	26	.	.	PUNCT
fcis-25716	179	27	8	8	NUM
fcis-25716	179	28	93	93	NUM
fcis-25716	179	29	.	.	PUNCT
fcis-25716	180	1	5	5	NUM
fcis-25716	180	2	80	80	NUM
fcis-25716	180	3	.	.	PUNCT
fcis-25716	180	4	0	0	NUM
fcis-25716	181	1	hrnetv2(2019)[25	hrnetv2(2019)[25	PROPN
fcis-25716	181	2	]	]	PUNCT
fcis-25716	181	3	85	85	NUM
fcis-25716	181	4	.	.	NOUN
fcis-25716	181	5	3	3	NUM
fcis-25716	181	6	74	74	NUM
fcis-25716	181	7	.	.	PUNCT
fcis-25716	181	8	4	4	NUM
fcis-25716	181	9	87	87	NUM
fcis-25716	181	10	.	.	PUNCT
fcis-25716	181	11	8	8	NUM
fcis-25716	181	12	83	83	NUM
fcis-25716	181	13	.	.	PUNCT
fcis-25716	181	14	0	0	NUM
fcis-25716	182	1	vm	vm	NOUN
fcis-25716	182	2	-	-	NOUN
fcis-25716	182	3	unet(2024)[16	unet(2024)[16	PROPN
fcis-25716	182	4	]	]	X
fcis-25716	182	5	81	81	NUM
fcis-25716	182	6	.	.	NOUN
fcis-25716	182	7	8	8	NUM
fcis-25716	182	8	69	69	NUM
fcis-25716	182	9	.	.	PUNCT
fcis-25716	182	10	2	2	NUM
fcis-25716	182	11	85	85	NUM
fcis-25716	182	12	.	.	NOUN
fcis-25716	182	13	6	6	NUM
fcis-25716	182	14	94	94	NUM
fcis-25716	182	15	.	.	NOUN
fcis-25716	182	16	8	8	NUM
fcis-25716	182	17	dcss	dcss	NOUN
fcis-25716	182	18	-	-	PUNCT
fcis-25716	182	19	unet(our	unet(our	NOUN
fcis-25716	182	20	)	)	PUNCT
fcis-25716	182	21	87	87	NUM
fcis-25716	182	22	.	.	PUNCT
fcis-25716	183	1	9	9	NUM
fcis-25716	183	2	78	78	NUM
fcis-25716	183	3	.	.	PUNCT
fcis-25716	184	1	4	4	NUM
fcis-25716	184	2	94	94	NUM
fcis-25716	184	3	.	.	PUNCT
fcis-25716	185	1	6	6	NUM
fcis-25716	185	2	96	96	NUM
fcis-25716	185	3	.	.	NOUN
fcis-25716	186	1	6	6	NUM
fcis-25716	186	2	table	table	NOUN
fcis-25716	186	3	3	3	NUM
fcis-25716	186	4	.	.	PUNCT
fcis-25716	186	5	results	result	NOUN
fcis-25716	186	6	of	of	ADP
fcis-25716	186	7	cvc	cvc	NOUN
fcis-25716	186	8	-	-	PUNCT
fcis-25716	186	9	clinicdb	clinicdb	PROPN
fcis-25716	186	10	,	,	PUNCT
fcis-25716	186	11	the	the	DET
fcis-25716	186	12	best	good	ADJ
fcis-25716	186	13	results	result	NOUN
fcis-25716	186	14	are	be	AUX
fcis-25716	186	15	shown	show	VERB
fcis-25716	186	16	in	in	ADP
fcis-25716	186	17	bold	bold	ADJ
fcis-25716	186	18	.	.	PUNCT
fcis-25716	187	1	data	datum	NOUN
fcis-25716	187	2	cvc	cvc	NOUN
fcis-25716	187	3	-	-	PUNCT
fcis-25716	187	4	clinicdb	clinicdb	PROPN
fcis-25716	187	5	methods	method	NOUN
fcis-25716	188	1	mdice(%)↑	mdice(%)↑	PROPN
fcis-25716	189	1	mlou(%)↑	mlou(%)↑	NOUN
fcis-25716	189	2	mpre(%)↑	mpre(%)↑	PROPN
fcis-25716	189	3	mrec(%)↑	mrec(%)↑	PROPN
fcis-25716	189	4	u	u	NOUN
fcis-25716	189	5	-	-	PROPN
fcis-25716	189	6	net(2015)[7	net(2015)[7	ADJ
fcis-25716	189	7	]	]	PUNCT
fcis-25716	189	8	76	76	NUM
fcis-25716	189	9	.	.	PUNCT
fcis-25716	189	10	3	3	NUM
fcis-25716	189	11	61	61	NUM
fcis-25716	189	12	.	.	PUNCT
fcis-25716	190	1	6	6	NUM
fcis-25716	190	2	79	79	NUM
fcis-25716	190	3	.	.	PUNCT
fcis-25716	191	1	9	9	NUM
fcis-25716	191	2	73	73	NUM
fcis-25716	191	3	.	.	PUNCT
fcis-25716	191	4	0	0	NUM
fcis-25716	192	1	hardnet(2022)[24	hardnet(2022)[24	X
fcis-25716	192	2	]	]	X
fcis-25716	192	3	72	72	NUM
fcis-25716	192	4	.	.	NOUN
fcis-25716	192	5	8	8	NUM
fcis-25716	192	6	57	57	NUM
fcis-25716	192	7	.	.	PUNCT
fcis-25716	192	8	2	2	NUM
fcis-25716	192	9	89	89	NUM
fcis-25716	192	10	.	.	PUNCT
fcis-25716	192	11	5	5	NUM
fcis-25716	192	12	61	61	NUM
fcis-25716	192	13	.	.	PUNCT
fcis-25716	192	14	4	4	NUM
fcis-25716	192	15	hrnetv2(2019)[25	hrnetv2(2019)[25	PROPN
fcis-25716	192	16	]	]	X
fcis-25716	192	17	77	77	NUM
fcis-25716	192	18	.	.	NOUN
fcis-25716	192	19	8	8	NUM
fcis-25716	192	20	63	63	NUM
fcis-25716	192	21	.	.	PUNCT
fcis-25716	192	22	6	6	NUM
fcis-25716	192	23	82	82	NUM
fcis-25716	192	24	.	.	PROPN
fcis-25716	192	25	6	6	NUM
fcis-25716	192	26	73	73	NUM
fcis-25716	192	27	.	.	PUNCT
fcis-25716	192	28	5	5	NUM
fcis-25716	192	29	vm	vm	NOUN
fcis-25716	192	30	-	-	NOUN
fcis-25716	192	31	unet(2024)[16	unet(2024)[16	PROPN
fcis-25716	192	32	]	]	PUNCT
fcis-25716	192	33	86	86	NUM
fcis-25716	192	34	.	.	NOUN
fcis-25716	192	35	8	8	NUM
fcis-25716	192	36	76	76	NUM
fcis-25716	192	37	.	.	PUNCT
fcis-25716	193	1	7	7	NUM
fcis-25716	193	2	85	85	NUM
fcis-25716	193	3	.	.	PUNCT
fcis-25716	193	4	7	7	NUM
fcis-25716	193	5	97	97	NUM
fcis-25716	193	6	.	.	NOUN
fcis-25716	193	7	9	9	NUM
fcis-25716	193	8	dcss	dcss	NOUN
fcis-25716	193	9	-	-	PUNCT
fcis-25716	193	10	unet(our	unet(our	NOUN
fcis-25716	193	11	)	)	PUNCT
fcis-25716	193	12	89	89	NUM
fcis-25716	193	13	.	.	NOUN
fcis-25716	193	14	9	9	NUM
fcis-25716	193	15	81	81	NUM
fcis-25716	193	16	.	.	PUNCT
fcis-25716	194	1	7	7	NUM
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fcis-25716	194	3	.	.	PUNCT
fcis-25716	195	1	3	3	NUM
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fcis-25716	195	3	.	.	PUNCT
fcis-25716	195	4	4	4	NUM
fcis-25716	195	5	table	table	NOUN
fcis-25716	195	6	4	4	NUM
fcis-25716	195	7	.	.	PUNCT
fcis-25716	195	8	results	result	NOUN
fcis-25716	195	9	of	of	ADP
fcis-25716	195	10	etis	etis	NOUN
fcis-25716	195	11	-	-	PUNCT
fcis-25716	195	12	laribpolypdb	laribpolypdb	NOUN
fcis-25716	195	13	,	,	PUNCT
fcis-25716	195	14	the	the	DET
fcis-25716	195	15	best	good	ADJ
fcis-25716	195	16	results	result	NOUN
fcis-25716	195	17	are	be	AUX
fcis-25716	195	18	shown	show	VERB
fcis-25716	195	19	in	in	ADP
fcis-25716	195	20	bold	bold	ADJ
fcis-25716	195	21	.	.	PUNCT
fcis-25716	196	1	data	datum	NOUN
fcis-25716	196	2	etis	etis	NOUN
fcis-25716	196	3	-	-	PUNCT
fcis-25716	196	4	laribpolypdb	laribpolypdb	NOUN
fcis-25716	196	5	methods	method	NOUN
fcis-25716	197	1	mdice(%)↑	mdice(%)↑	PROPN
fcis-25716	198	1	mlou(%)↑	mlou(%)↑	NOUN
fcis-25716	198	2	mpre(%)↑	mpre(%)↑	PROPN
fcis-25716	198	3	mrec(%)↑	mrec(%)↑	PROPN
fcis-25716	198	4	u	u	NOUN
fcis-25716	198	5	-	-	PROPN
fcis-25716	198	6	net(2015)[7	net(2015)[7	ADJ
fcis-25716	198	7	]	]	PUNCT
fcis-25716	198	8	79	79	NUM
fcis-25716	198	9	.	.	NOUN
fcis-25716	198	10	8	8	NUM
fcis-25716	198	11	69	69	NUM
fcis-25716	198	12	.	.	PUNCT
fcis-25716	199	1	7	7	NUM
fcis-25716	199	2	83	83	NUM
fcis-25716	199	3	.	.	PUNCT
fcis-25716	199	4	2	2	NUM
fcis-25716	199	5	77	77	NUM
fcis-25716	199	6	.	.	PUNCT
fcis-25716	199	7	2	2	NUM
fcis-25716	199	8	hardnet(2022)[24	hardnet(2022)[24	PROPN
fcis-25716	199	9	]	]	PUNCT
fcis-25716	199	10	86	86	NUM
fcis-25716	199	11	.	.	PROPN
fcis-25716	199	12	6	6	NUM
fcis-25716	199	13	76	76	NUM
fcis-25716	199	14	.	.	PUNCT
fcis-25716	200	1	4	4	NUM
fcis-25716	200	2	97	97	NUM
fcis-25716	200	3	.	.	PUNCT
fcis-25716	200	4	0	0	NUM
fcis-25716	201	1	78	78	NUM
fcis-25716	201	2	.	.	PUNCT
fcis-25716	202	1	2	2	NUM
fcis-25716	202	2	hrnetv2(2019)[25	hrnetv2(2019)[25	PROPN
fcis-25716	202	3	]	]	PUNCT
fcis-25716	202	4	47	47	NUM
fcis-25716	202	5	.	.	NOUN
fcis-25716	202	6	2	2	NUM
fcis-25716	202	7	30	30	NUM
fcis-25716	202	8	.	.	PUNCT
fcis-25716	202	9	9	9	NUM
fcis-25716	202	10	46	46	NUM
fcis-25716	202	11	.	.	PUNCT
fcis-25716	202	12	5	5	NUM
fcis-25716	202	13	48	48	NUM
fcis-25716	202	14	.	.	NOUN
fcis-25716	202	15	0	0	NUM
fcis-25716	203	1	vm	vm	NOUN
fcis-25716	203	2	-	-	NOUN
fcis-25716	203	3	unet(2024)[16	unet(2024)[16	PROPN
fcis-25716	203	4	]	]	PUNCT
fcis-25716	203	5	57	57	NUM
fcis-25716	203	6	.	.	NOUN
fcis-25716	203	7	8	8	NUM
fcis-25716	203	8	40	40	NUM
fcis-25716	203	9	.	.	PUNCT
fcis-25716	204	1	7	7	NUM
fcis-25716	204	2	50	50	NUM
fcis-25716	204	3	.	.	PUNCT
fcis-25716	204	4	0	0	NUM
fcis-25716	205	1	95	95	NUM
fcis-25716	205	2	.	.	NOUN
fcis-25716	205	3	0	0	NUM
fcis-25716	206	1	dcss	dcss	NOUN
fcis-25716	206	2	-	-	PUNCT
fcis-25716	206	3	unet(our	unet(our	NOUN
fcis-25716	206	4	)	)	PUNCT
fcis-25716	206	5	77	77	NUM
fcis-25716	206	6	.	.	PUNCT
fcis-25716	206	7	3	3	NUM
fcis-25716	206	8	63	63	NUM
fcis-25716	206	9	.	.	PUNCT
fcis-25716	206	10	0	0	NUM
fcis-25716	207	1	74	74	NUM
fcis-25716	207	2	.	.	PUNCT
fcis-25716	207	3	7	7	NUM
fcis-25716	207	4	97	97	NUM
fcis-25716	207	5	.	.	NOUN
fcis-25716	208	1	9	9	NUM
fcis-25716	208	2	table	table	NOUN
fcis-25716	208	3	5	5	NUM
fcis-25716	208	4	.	.	PUNCT
fcis-25716	208	5	results	result	NOUN
fcis-25716	208	6	of	of	ADP
fcis-25716	208	7	cvc	cvc	NOUN
fcis-25716	208	8	-	-	PUNCT
fcis-25716	208	9	colondb	colondb	NOUN
fcis-25716	208	10	,	,	PUNCT
fcis-25716	208	11	the	the	DET
fcis-25716	208	12	best	good	ADJ
fcis-25716	208	13	results	result	NOUN
fcis-25716	208	14	are	be	AUX
fcis-25716	208	15	shown	show	VERB
fcis-25716	208	16	in	in	ADP
fcis-25716	208	17	bold	bold	ADJ
fcis-25716	208	18	.	.	PUNCT
fcis-25716	209	1	data	datum	NOUN
fcis-25716	209	2	cvc	cvc	NOUN
fcis-25716	209	3	-	-	PUNCT
fcis-25716	209	4	colondb	colondb	NOUN
fcis-25716	209	5	methods	method	NOUN
fcis-25716	210	1	mdice(%)↑	mdice(%)↑	PROPN
fcis-25716	211	1	mlou(%)↑	mlou(%)↑	NOUN
fcis-25716	211	2	mpre(%)↑	mpre(%)↑	PROPN
fcis-25716	211	3	mrec(%)↑	mrec(%)↑	PROPN
fcis-25716	211	4	u	u	NOUN
fcis-25716	211	5	-	-	PROPN
fcis-25716	211	6	net(2015)[7	net(2015)[7	ADJ
fcis-25716	211	7	]	]	PUNCT
fcis-25716	211	8	80	80	NUM
fcis-25716	211	9	.	.	PUNCT
fcis-25716	211	10	3	3	NUM
fcis-25716	211	11	70	70	NUM
fcis-25716	211	12	.	.	PUNCT
fcis-25716	211	13	4	4	NUM
fcis-25716	211	14	81	81	NUM
fcis-25716	211	15	.	.	PUNCT
fcis-25716	211	16	0	0	NUM
fcis-25716	212	1	82	82	NUM
fcis-25716	212	2	.	.	PUNCT
fcis-25716	213	1	7	7	NUM
fcis-25716	213	2	hardnet(2022)[24	hardnet(2022)[24	PROPN
fcis-25716	213	3	]	]	X
fcis-25716	213	4	74	74	NUM
fcis-25716	213	5	.	.	PUNCT
fcis-25716	213	6	0	0	NUM
fcis-25716	214	1	58	58	NUM
fcis-25716	214	2	.	.	PUNCT
fcis-25716	215	1	7	7	NUM
fcis-25716	215	2	95	95	NUM
fcis-25716	215	3	.	.	PUNCT
fcis-25716	215	4	0	0	NUM
fcis-25716	216	1	60	60	NUM
fcis-25716	216	2	.	.	PUNCT
fcis-25716	217	1	6	6	NUM
fcis-25716	217	2	hrnetv2(2019)[25	hrnetv2(2019)[25	PROPN
fcis-25716	217	3	]	]	PUNCT
fcis-25716	217	4	63	63	NUM
fcis-25716	217	5	.	.	NOUN
fcis-25716	217	6	8	8	NUM
fcis-25716	217	7	46	46	NUM
fcis-25716	217	8	.	.	PUNCT
fcis-25716	217	9	9	9	NUM
fcis-25716	217	10	58	58	NUM
fcis-25716	217	11	.	.	PUNCT
fcis-25716	218	1	6	6	NUM
fcis-25716	218	2	70	70	NUM
fcis-25716	218	3	.	.	NOUN
fcis-25716	218	4	1	1	NUM
fcis-25716	218	5	vm	vm	NOUN
fcis-25716	218	6	-	-	ADJ
fcis-25716	218	7	unet(2024)[16	unet(2024)[16	PROPN
fcis-25716	218	8	]	]	X
fcis-25716	218	9	60	60	NUM
fcis-25716	218	10	.	.	NOUN
fcis-25716	218	11	4	4	NUM
fcis-25716	218	12	43	43	NUM
fcis-25716	218	13	.	.	PUNCT
fcis-25716	219	1	3	3	NUM
fcis-25716	219	2	64	64	NUM
fcis-25716	219	3	.	.	PUNCT
fcis-25716	219	4	4	4	NUM
fcis-25716	219	5	94	94	NUM
fcis-25716	219	6	.	.	PUNCT
fcis-25716	219	7	4	4	NUM
fcis-25716	219	8	dcss	dcss	NOUN
fcis-25716	219	9	-	-	PUNCT
fcis-25716	219	10	unet(our	unet(our	NOUN
fcis-25716	219	11	)	)	PUNCT
fcis-25716	219	12	68	68	NUM
fcis-25716	219	13	.	.	NOUN
fcis-25716	219	14	7	7	NUM
fcis-25716	219	15	52	52	NUM
fcis-25716	219	16	.	.	PUNCT
fcis-25716	220	1	3	3	NUM
fcis-25716	220	2	82	82	NUM
fcis-25716	220	3	.	.	NOUN
fcis-25716	221	1	8	8	NUM
fcis-25716	221	2	96	96	NUM
fcis-25716	221	3	.	.	NOUN
fcis-25716	221	4	0	0	NUM
fcis-25716	221	5	table	table	NOUN
fcis-25716	221	6	6	6	NUM
fcis-25716	221	7	.	.	PUNCT
fcis-25716	221	8	comparison	comparison	NOUN
fcis-25716	221	9	of	of	ADP
fcis-25716	221	10	computational	computational	ADJ
fcis-25716	221	11	complexity	complexity	NOUN
fcis-25716	221	12	and	and	CCONJ
fcis-25716	221	13	gpu	gpu	NOUN
fcis-25716	221	14	memory	memory	NOUN
fcis-25716	221	15	usage	usage	NOUN
fcis-25716	221	16	,	,	PUNCT
fcis-25716	221	17	using	use	VERB
fcis-25716	221	18	an	an	DET
fcis-25716	221	19	nvidia	nvidia	PROPN
fcis-25716	221	20	4090d	4090d	NOUN
fcis-25716	221	21	gpu	gpu	X
fcis-25716	221	22	(	(	PUNCT
fcis-25716	221	23	bold	bold	ADJ
fcis-25716	221	24	indicates	indicate	VERB
fcis-25716	221	25	the	the	DET
fcis-25716	221	26	best	good	ADJ
fcis-25716	221	27	)	)	PUNCT
fcis-25716	221	28	.	.	PUNCT
fcis-25716	222	1	model	model	NOUN
fcis-25716	222	2	input	input	NOUN
fcis-25716	222	3	size	size	NOUN
fcis-25716	222	4	params(m)↓	params(m)↓	PROPN
fcis-25716	222	5	flops(g)↓	flops(g)↓	PROPN
fcis-25716	222	6	unet[7	unet[7	PRON
fcis-25716	222	7	]	]	PUNCT
fcis-25716	222	8	(	(	PUNCT
fcis-25716	222	9	3	3	NUM
fcis-25716	222	10	,	,	PUNCT
fcis-25716	222	11	256	256	NUM
fcis-25716	222	12	,	,	PUNCT
fcis-25716	222	13	256	256	NUM
fcis-25716	222	14	)	)	PUNCT
fcis-25716	222	15	28	28	NUM
fcis-25716	222	16	.	.	NOUN
fcis-25716	223	1	15	15	NUM
fcis-25716	223	2	8	8	NUM
fcis-25716	223	3	.	.	X
fcis-25716	223	4	43	43	NUM
fcis-25716	224	1	vm	vm	NOUN
fcis-25716	224	2	-	-	NOUN
fcis-25716	224	3	unet[16	unet[16	X
fcis-25716	224	4	]	]	X
fcis-25716	224	5	(	(	PUNCT
fcis-25716	224	6	3	3	NUM
fcis-25716	224	7	,	,	PUNCT
fcis-25716	224	8	256	256	NUM
fcis-25716	224	9	,	,	PUNCT
fcis-25716	224	10	256	256	NUM
fcis-25716	224	11	)	)	PUNCT
fcis-25716	224	12	34	34	NUM
fcis-25716	224	13	.	.	PUNCT
fcis-25716	225	1	62	62	NUM
fcis-25716	225	2	7	7	NUM
fcis-25716	225	3	.	.	X
fcis-25716	225	4	56	56	NUM
fcis-25716	225	5	pranet[17	pranet[17	X
fcis-25716	225	6	]	]	X
fcis-25716	225	7	(	(	PUNCT
fcis-25716	225	8	3	3	NUM
fcis-25716	225	9	,	,	PUNCT
fcis-25716	225	10	256	256	NUM
fcis-25716	225	11	,	,	PUNCT
fcis-25716	225	12	256	256	NUM
fcis-25716	225	13	)	)	PUNCT
fcis-25716	225	14	30	30	NUM
fcis-25716	225	15	.	.	PUNCT
fcis-25716	225	16	50	50	NUM
fcis-25716	225	17	13	13	NUM
fcis-25716	225	18	.	.	SYM
fcis-25716	225	19	15	15	NUM
fcis-25716	225	20	dcss	dcss	NOUN
fcis-25716	225	21	-	-	PUNCT
fcis-25716	225	22	unet(our	unet(our	NOUN
fcis-25716	225	23	)	)	PUNCT
fcis-25716	225	24	(	(	PUNCT
fcis-25716	225	25	3	3	NUM
fcis-25716	225	26	,	,	PUNCT
fcis-25716	225	27	256	256	NUM
fcis-25716	225	28	,	,	PUNCT
fcis-25716	225	29	256	256	NUM
fcis-25716	225	30	)	)	PUNCT
fcis-25716	225	31	17	17	NUM
fcis-25716	225	32	.	.	PUNCT
fcis-25716	226	1	91	91	NUM
fcis-25716	226	2	4	4	NUM
fcis-25716	226	3	.	.	X
fcis-25716	226	4	43	43	NUM
fcis-25716	226	5	table	table	NOUN
fcis-25716	226	6	7	7	NUM
fcis-25716	226	7	.	.	PUNCT
fcis-25716	227	1	the	the	DET
fcis-25716	227	2	role	role	NOUN
fcis-25716	227	3	of	of	ADP
fcis-25716	227	4	each	each	DET
fcis-25716	227	5	module	module	NOUN
fcis-25716	227	6	in	in	ADP
fcis-25716	227	7	the	the	DET
fcis-25716	227	8	ablation	ablation	NOUN
fcis-25716	227	9	experiment	experiment	NOUN
fcis-25716	227	10	,	,	PUNCT
fcis-25716	227	11	bold	bold	ADJ
fcis-25716	227	12	indicates	indicate	VERB
fcis-25716	227	13	the	the	DET
fcis-25716	227	14	best	good	ADJ
fcis-25716	227	15	.	.	PUNCT
fcis-25716	228	1	dataset	dataset	PROPN
fcis-25716	228	2	kavirs	kavirs	PROPN
fcis-25716	228	3	-	-	PUNCT
fcis-25716	228	4	seg	seg	PROPN
fcis-25716	228	5	model	model	PROPN
fcis-25716	228	6	mdice	mdice	PROPN
fcis-25716	228	7	miou	miou	PROPN
fcis-25716	228	8	vmunet	vmunet	PROPN
fcis-25716	228	9	81	81	NUM
fcis-25716	228	10	.	.	NOUN
fcis-25716	228	11	8	8	NUM
fcis-25716	228	12	69	69	NUM
fcis-25716	228	13	.	.	PUNCT
fcis-25716	228	14	2	2	NUM
fcis-25716	228	15	vmunet+sfa	vmunet+sfa	NOUN
fcis-25716	228	16	83	83	NUM
fcis-25716	228	17	.	.	PUNCT
fcis-25716	228	18	6	6	NUM
fcis-25716	228	19	74	74	NUM
fcis-25716	228	20	.	.	PUNCT
fcis-25716	228	21	1	1	NUM
fcis-25716	228	22	vmunet+tfam	vmunet+tfam	PROPN
fcis-25716	228	23	85	85	NUM
fcis-25716	228	24	.	.	NOUN
fcis-25716	228	25	5	5	NUM
fcis-25716	228	26	76	76	NUM
fcis-25716	228	27	.	.	NOUN
fcis-25716	228	28	8	8	NUM
fcis-25716	228	29	vmunet+sfa+tfam	vmunet+sfa+tfam	NOUN
fcis-25716	228	30	87	87	NUM
fcis-25716	228	31	.	.	PUNCT
fcis-25716	229	1	1	1	NUM
fcis-25716	229	2	77	77	NUM
fcis-25716	229	3	.	.	PUNCT
fcis-25716	230	1	9	9	NUM
fcis-25716	230	2	we	we	PRON
fcis-25716	230	3	find	find	VERB
fcis-25716	230	4	that	that	SCONJ
fcis-25716	230	5	simply	simply	ADV
fcis-25716	230	6	adding	add	VERB
fcis-25716	230	7	sfa	sfa	NOUN
fcis-25716	230	8	helps	help	VERB
fcis-25716	230	9	the	the	DET
fcis-25716	230	10	network	network	NOUN
fcis-25716	230	11	to	to	PART
fcis-25716	230	12	find	find	VERB
fcis-25716	230	13	out	out	ADP
fcis-25716	230	14	which	which	DET
fcis-25716	230	15	places	place	NOUN
fcis-25716	230	16	are	be	AUX
fcis-25716	230	17	more	more	ADV
fcis-25716	230	18	worthy	worthy	ADJ
fcis-25716	230	19	of	of	ADP
fcis-25716	230	20	attention	attention	NOUN
fcis-25716	230	21	,	,	PUNCT
fcis-25716	230	22	while	while	SCONJ
fcis-25716	230	23	adding	add	VERB
fcis-25716	230	24	38	38	NUM
fcis-25716	230	25	tfam	tfam	NOUN
fcis-25716	230	26	makes	make	VERB
fcis-25716	230	27	it	it	PRON
fcis-25716	230	28	easier	easy	ADJ
fcis-25716	230	29	to	to	PART
fcis-25716	230	30	integrate	integrate	VERB
fcis-25716	230	31	the	the	DET
fcis-25716	230	32	acquired	acquire	VERB
fcis-25716	230	33	features	feature	NOUN
fcis-25716	230	34	into	into	ADP
fcis-25716	230	35	the	the	DET
fcis-25716	230	36	network	network	NOUN
fcis-25716	230	37	.	.	PUNCT
fcis-25716	231	1	both	both	PRON
fcis-25716	231	2	works	work	VERB
fcis-25716	231	3	together	together	ADV
fcis-25716	231	4	to	to	PART
fcis-25716	231	5	improve	improve	VERB
fcis-25716	231	6	the	the	DET
fcis-25716	231	7	performance	performance	NOUN
fcis-25716	231	8	of	of	ADP
fcis-25716	231	9	the	the	DET
fcis-25716	231	10	network	network	NOUN
fcis-25716	231	11	,	,	PUNCT
fcis-25716	231	12	the	the	DET
fcis-25716	231	13	increase	increase	NOUN
fcis-25716	231	14	in	in	ADP
fcis-25716	231	15	computing	compute	VERB
fcis-25716	231	16	costs	cost	NOUN
fcis-25716	231	17	associated	associate	VERB
fcis-25716	231	18	with	with	ADP
fcis-25716	231	19	performance	performance	NOUN
fcis-25716	231	20	improvements	improvement	NOUN
fcis-25716	231	21	is	be	AUX
fcis-25716	231	22	minimal	minimal	ADJ
fcis-25716	231	23	.	.	PUNCT
fcis-25716	232	1	5	5	X
fcis-25716	232	2	.	.	X
fcis-25716	232	3	conclusion	conclusion	NOUN
fcis-25716	232	4	based	base	VERB
fcis-25716	232	5	on	on	ADP
fcis-25716	232	6	the	the	DET
fcis-25716	232	7	results	result	NOUN
fcis-25716	232	8	of	of	ADP
fcis-25716	232	9	this	this	DET
fcis-25716	232	10	paper	paper	NOUN
fcis-25716	232	11	,	,	PUNCT
fcis-25716	232	12	the	the	DET
fcis-25716	232	13	dcssunet	dcssunet	ADJ
fcis-25716	232	14	neural	neural	ADJ
fcis-25716	232	15	network	network	NOUN
fcis-25716	232	16	architecture	architecture	NOUN
fcis-25716	232	17	can	can	AUX
fcis-25716	232	18	achieve	achieve	VERB
fcis-25716	232	19	advanced	advanced	ADJ
fcis-25716	232	20	performance	performance	NOUN
fcis-25716	232	21	in	in	ADP
fcis-25716	232	22	the	the	DET
fcis-25716	232	23	polyp	polyp	NOUN
fcis-25716	232	24	segmentation	segmentation	NOUN
fcis-25716	232	25	task	task	NOUN
fcis-25716	232	26	of	of	ADP
fcis-25716	232	27	colonoscopy	colonoscopy	NOUN
fcis-25716	232	28	images	image	NOUN
fcis-25716	232	29	at	at	ADP
fcis-25716	232	30	a	a	DET
fcis-25716	232	31	low	low	ADJ
fcis-25716	232	32	computational	computational	ADJ
fcis-25716	232	33	cost	cost	NOUN
fcis-25716	232	34	.	.	PUNCT
fcis-25716	233	1	dcssunet	dcssunet	NOUN
fcis-25716	233	2	uses	use	VERB
fcis-25716	233	3	vmamba	vmamba	PROPN
fcis-25716	233	4	's	's	PART
fcis-25716	233	5	encoder	encoder	NOUN
fcis-25716	233	6	as	as	ADP
fcis-25716	233	7	the	the	DET
fcis-25716	233	8	backbone	backbone	NOUN
fcis-25716	233	9	and	and	CCONJ
fcis-25716	233	10	improves	improve	VERB
fcis-25716	233	11	the	the	DET
fcis-25716	233	12	decoder	decoder	NOUN
fcis-25716	233	13	structure	structure	NOUN
fcis-25716	233	14	,	,	PUNCT
fcis-25716	233	15	the	the	DET
fcis-25716	233	16	sfa	sfa	NOUN
fcis-25716	233	17	module	module	NOUN
fcis-25716	233	18	allows	allow	VERB
fcis-25716	233	19	it	it	PRON
fcis-25716	233	20	to	to	PART
fcis-25716	233	21	focus	focus	VERB
fcis-25716	233	22	on	on	ADP
fcis-25716	233	23	the	the	DET
fcis-25716	233	24	right	right	ADJ
fcis-25716	233	25	place	place	NOUN
fcis-25716	233	26	,	,	PUNCT
fcis-25716	233	27	and	and	CCONJ
fcis-25716	233	28	the	the	DET
fcis-25716	233	29	tfam	tfam	NOUN
fcis-25716	233	30	can	can	AUX
fcis-25716	233	31	capture	capture	VERB
fcis-25716	233	32	more	more	ADJ
fcis-25716	233	33	image	image	NOUN
fcis-25716	233	34	information	information	NOUN
fcis-25716	233	35	.	.	PUNCT
fcis-25716	234	1	at	at	ADP
fcis-25716	234	2	the	the	DET
fcis-25716	234	3	same	same	ADJ
fcis-25716	234	4	time	time	NOUN
fcis-25716	234	5	,	,	PUNCT
fcis-25716	234	6	data	datum	NOUN
fcis-25716	234	7	enhancement	enhancement	NOUN
fcis-25716	234	8	techniques	technique	NOUN
fcis-25716	234	9	help	help	VERB
fcis-25716	234	10	improve	improve	VERB
fcis-25716	234	11	its	its	PRON
fcis-25716	234	12	overall	overall	ADJ
fcis-25716	234	13	performance	performance	NOUN
fcis-25716	234	14	.	.	PUNCT
fcis-25716	235	1	the	the	DET
fcis-25716	235	2	dcssunet	dcssunet	NOUN
fcis-25716	235	3	model	model	NOUN
fcis-25716	235	4	has	have	VERB
fcis-25716	235	5	strong	strong	ADJ
fcis-25716	235	6	generalization	generalization	NOUN
fcis-25716	235	7	ability	ability	NOUN
fcis-25716	235	8	and	and	CCONJ
fcis-25716	235	9	can	can	AUX
fcis-25716	235	10	achieve	achieve	VERB
fcis-25716	235	11	good	good	ADJ
fcis-25716	235	12	results	result	NOUN
fcis-25716	235	13	even	even	ADV
fcis-25716	235	14	under	under	ADP
fcis-25716	235	15	limited	limited	ADJ
fcis-25716	235	16	training	training	NOUN
fcis-25716	235	17	data	datum	NOUN
fcis-25716	235	18	.	.	PUNCT
fcis-25716	236	1	all	all	ADV
fcis-25716	236	2	in	in	ADP
fcis-25716	236	3	all	all	PRON
fcis-25716	236	4	,	,	PUNCT
fcis-25716	236	5	dcssunet	dcssunet	ADJ
fcis-25716	236	6	architecture	architecture	NOUN
fcis-25716	236	7	shows	show	VERB
fcis-25716	236	8	great	great	ADJ
fcis-25716	236	9	application	application	NOUN
fcis-25716	236	10	potential	potential	NOUN
fcis-25716	236	11	in	in	ADP
fcis-25716	236	12	polyp	polyp	NOUN
fcis-25716	236	13	segmentation	segmentation	NOUN
fcis-25716	236	14	task	task	NOUN
fcis-25716	236	15	.	.	PUNCT
fcis-25716	237	1	as	as	ADP
fcis-25716	237	2	a	a	DET
fcis-25716	237	3	practical	practical	ADJ
fcis-25716	237	4	application	application	NOUN
fcis-25716	237	5	of	of	ADP
fcis-25716	237	6	vmamba	vmamba	ADJ
fcis-25716	237	7	model	model	NOUN
fcis-25716	237	8	using	use	VERB
fcis-25716	237	9	spatial	spatial	ADJ
fcis-25716	237	10	state	state	NOUN
fcis-25716	237	11	equation	equation	NOUN
fcis-25716	237	12	,	,	PUNCT
fcis-25716	237	13	it	it	PRON
fcis-25716	237	14	is	be	AUX
fcis-25716	237	15	worthy	worthy	ADJ
fcis-25716	237	16	of	of	ADP
fcis-25716	237	17	further	further	ADJ
fcis-25716	237	18	study	study	NOUN
fcis-25716	237	19	.	.	PUNCT
fcis-25716	238	1	acknowledgments	acknowledgment	NOUN
fcis-25716	238	2	this	this	DET
fcis-25716	238	3	work	work	NOUN
fcis-25716	238	4	is	be	AUX
fcis-25716	238	5	supported	support	VERB
fcis-25716	238	6	by	by	ADP
fcis-25716	238	7	natural	natural	ADJ
fcis-25716	238	8	science	science	NOUN
fcis-25716	238	9	research	research	NOUN
fcis-25716	238	10	project	project	NOUN
fcis-25716	238	11	of	of	ADP
fcis-25716	238	12	tianjin	tianjin	PROPN
fcis-25716	238	13	education	education	PROPN
fcis-25716	238	14	commission	commission	PROPN
fcis-25716	238	15	(	(	PUNCT
fcis-25716	238	16	grant	grant	PROPN
fcis-25716	238	17	2020kj124	2020kj124	NUM
fcis-25716	238	18	)	)	PUNCT
fcis-25716	238	19	.	.	PUNCT
fcis-25716	239	1	references	reference	NOUN
fcis-25716	239	2	[	[	X
fcis-25716	239	3	1	1	NUM
fcis-25716	239	4	]	]	X
fcis-25716	239	5	asgari	asgari	ADJ
fcis-25716	239	6	taghanaki	taghanaki	PROPN
fcis-25716	239	7	,	,	PUNCT
fcis-25716	239	8	saeid	saeid	PROPN
fcis-25716	239	9	,	,	PUNCT
fcis-25716	239	10	kumar	kumar	PROPN
fcis-25716	239	11	abhishek	abhishek	PROPN
fcis-25716	239	12	,	,	PUNCT
fcis-25716	239	13	joseph	joseph	PROPN
fcis-25716	239	14	paul	paul	PROPN
fcis-25716	239	15	cohen	cohen	PROPN
fcis-25716	239	16	,	,	PUNCT
fcis-25716	239	17	julien	julien	PROPN
fcis-25716	239	18	cohen	cohen	PROPN
fcis-25716	239	19	-	-	PUNCT
fcis-25716	239	20	adad	adad	PROPN
fcis-25716	239	21	,	,	PUNCT
fcis-25716	239	22	and	and	CCONJ
fcis-25716	239	23	ghassan	ghassan	PROPN
fcis-25716	239	24	hamarneh	hamarneh	PROPN
fcis-25716	239	25	.	.	PUNCT
fcis-25716	240	1	(	(	PUNCT
fcis-25716	240	2	2021	2021	NUM
fcis-25716	240	3	)	)	PUNCT
fcis-25716	240	4	deep	deep	ADJ
fcis-25716	240	5	semantic	semantic	ADJ
fcis-25716	240	6	segmentation	segmentation	NOUN
fcis-25716	240	7	of	of	ADP
fcis-25716	240	8	natural	natural	ADJ
fcis-25716	240	9	and	and	CCONJ
fcis-25716	240	10	medical	medical	ADJ
fcis-25716	240	11	images	image	NOUN
fcis-25716	240	12	:	:	PUNCT
fcis-25716	240	13	a	a	DET
fcis-25716	240	14	review	review	NOUN
fcis-25716	240	15	.	.	PUNCT
fcis-25716	241	1	artificial	artificial	ADJ
fcis-25716	241	2	intelligence	intelligence	NOUN
fcis-25716	241	3	review	review	NOUN
fcis-25716	241	4	54	54	NUM
fcis-25716	241	5	:	:	PUNCT
fcis-25716	241	6	137	137	NUM
fcis-25716	241	7	-	-	SYM
fcis-25716	241	8	178	178	NUM
fcis-25716	241	9	.	.	PUNCT
fcis-25716	242	1	[	[	X
fcis-25716	242	2	2	2	NUM
fcis-25716	242	3	]	]	PUNCT
fcis-25716	242	4	siegel	siegel	NOUN
fcis-25716	242	5	,	,	PUNCT
fcis-25716	242	6	rebecca	rebecca	PROPN
fcis-25716	242	7	l.	l.	PROPN
fcis-25716	242	8	,	,	PUNCT
fcis-25716	242	9	kimberly	kimberly	PROPN
fcis-25716	242	10	d.	d.	PROPN
fcis-25716	242	11	miller	miller	PROPN
fcis-25716	242	12	,	,	PUNCT
fcis-25716	242	13	hannah	hannah	PROPN
fcis-25716	242	14	e.	e.	PROPN
fcis-25716	242	15	fuchs	fuchs	PROPN
fcis-25716	242	16	,	,	PUNCT
fcis-25716	242	17	and	and	CCONJ
fcis-25716	242	18	ahmedin	ahmedin	NOUN
fcis-25716	242	19	jemal	jemal	PROPN
fcis-25716	242	20	.	.	PUNCT
fcis-25716	243	1	(	(	PUNCT
fcis-25716	243	2	2022	2022	NUM
fcis-25716	243	3	)	)	PUNCT
fcis-25716	243	4	cancer	cancer	NOUN
fcis-25716	243	5	statistics	statistic	NOUN
fcis-25716	243	6	,	,	PUNCT
fcis-25716	243	7	2022	2022	NUM
fcis-25716	243	8	.	.	PUNCT
fcis-25716	244	1	ca	ca	NOUN
fcis-25716	244	2	:	:	PUNCT
fcis-25716	244	3	a	a	DET
fcis-25716	244	4	cancer	cancer	NOUN
fcis-25716	244	5	journal	journal	NOUN
fcis-25716	244	6	for	for	ADP
fcis-25716	244	7	clinicians72	clinicians72	NOUN
fcis-25716	244	8	,	,	PUNCT
fcis-25716	244	9	no	no	INTJ
fcis-25716	244	10	.	.	NOUN
fcis-25716	244	11	1	1	X
fcis-25716	244	12	.	.	PUNCT
fcis-25716	245	1	[	[	X
fcis-25716	245	2	3	3	NUM
fcis-25716	245	3	]	]	X
fcis-25716	245	4	rock	rock	NOUN
fcis-25716	245	5	,	,	PUNCT
fcis-25716	245	6	cheryl	cheryl	PROPN
fcis-25716	245	7	l.	l.	PROPN
fcis-25716	245	8	,	,	PUNCT
fcis-25716	245	9	cynthia	cynthia	PROPN
fcis-25716	245	10	thomson	thomson	PROPN
fcis-25716	245	11	,	,	PUNCT
fcis-25716	245	12	ted	ted	PROPN
fcis-25716	245	13	gansler	gansler	PROPN
fcis-25716	245	14	,	,	PUNCT
fcis-25716	245	15	susan	susan	PROPN
fcis-25716	245	16	m.	m.	PROPN
fcis-25716	245	17	gapstur	gapstur	PROPN
fcis-25716	245	18	,	,	PUNCT
fcis-25716	245	19	marjorie	marjorie	PROPN
fcis-25716	245	20	l.	l.	PROPN
fcis-25716	245	21	mccullough	mccullough	PROPN
fcis-25716	245	22	,	,	PUNCT
fcis-25716	245	23	alpa	alpa	PROPN
fcis-25716	245	24	v.	v.	PROPN
fcis-25716	245	25	patel	patel	PROPN
fcis-25716	245	26	,	,	PUNCT
fcis-25716	245	27	kimberly	kimberly	PROPN
fcis-25716	245	28	s.	s.	PROPN
fcis-25716	245	29	andrews	andrews	PROPN
fcis-25716	245	30	et	et	PROPN
fcis-25716	245	31	al	al	PROPN
fcis-25716	245	32	.	.	PUNCT
fcis-25716	246	1	(	(	PUNCT
fcis-25716	246	2	2020)american	2020)american	NUM
fcis-25716	246	3	cancer	cancer	NOUN
fcis-25716	246	4	society	society	NOUN
fcis-25716	246	5	guideline	guideline	NOUN
fcis-25716	246	6	for	for	ADP
fcis-25716	246	7	diet	diet	NOUN
fcis-25716	246	8	and	and	CCONJ
fcis-25716	246	9	physical	physical	ADJ
fcis-25716	246	10	activity	activity	NOUN
fcis-25716	246	11	for	for	ADP
fcis-25716	246	12	cancer	cancer	NOUN
fcis-25716	246	13	prevention	prevention	NOUN
fcis-25716	246	14	.	.	PUNCT
fcis-25716	247	1	ca	can	AUX
fcis-25716	247	2	:	:	PUNCT
fcis-25716	247	3	a	a	DET
fcis-25716	247	4	cancer	cancer	NOUN
fcis-25716	247	5	journal	journal	NOUN
fcis-25716	247	6	for	for	ADP
fcis-25716	247	7	clinicians	clinician	NOUN
fcis-25716	247	8	70	70	NUM
fcis-25716	247	9	,	,	PUNCT
fcis-25716	247	10	no	no	INTJ
fcis-25716	247	11	.	.	NOUN
fcis-25716	248	1	4	4	NUM
fcis-25716	248	2	:	:	SYM
fcis-25716	248	3	245	245	NUM
fcis-25716	248	4	-	-	SYM
fcis-25716	248	5	271	271	NUM
fcis-25716	248	6	.	.	PUNCT
fcis-25716	249	1	[	[	X
fcis-25716	249	2	4	4	NUM
fcis-25716	249	3	]	]	X
fcis-25716	249	4	cheng	cheng	PROPN
fcis-25716	249	5	,	,	PUNCT
fcis-25716	249	6	jie	jie	PROPN
fcis-25716	249	7	-	-	PUNCT
fcis-25716	249	8	zhi	zhi	PROPN
fcis-25716	249	9	,	,	PUNCT
fcis-25716	249	10	dong	dong	PROPN
fcis-25716	249	11	ni	ni	PROPN
fcis-25716	249	12	,	,	PUNCT
fcis-25716	249	13	yi	yi	PROPN
fcis-25716	249	14	-	-	PUNCT
fcis-25716	249	15	hong	hong	PROPN
fcis-25716	249	16	chou	chou	NOUN
fcis-25716	249	17	,	,	PUNCT
fcis-25716	249	18	jing	je	VERB
fcis-25716	249	19	qin	qin	PROPN
fcis-25716	249	20	,	,	PUNCT
fcis-25716	249	21	chui	chui	PROPN
fcis-25716	249	22	-	-	PROPN
fcis-25716	249	23	mei	mei	PROPN
fcis-25716	249	24	tiu	tiu	PROPN
fcis-25716	249	25	,	,	PUNCT
fcis-25716	249	26	yeun	yeun	PROPN
fcis-25716	249	27	-	-	PUNCT
fcis-25716	249	28	chung	chung	PROPN
fcis-25716	249	29	chang	chang	PROPN
fcis-25716	249	30	,	,	PUNCT
fcis-25716	249	31	chiun	chiun	PROPN
fcis-25716	249	32	-	-	PUNCT
fcis-25716	249	33	sheng	sheng	PROPN
fcis-25716	249	34	huang	huang	PROPN
fcis-25716	249	35	,	,	PUNCT
fcis-25716	249	36	dinggang	dinggang	PROPN
fcis-25716	249	37	shen	shen	PROPN
fcis-25716	249	38	,	,	PUNCT
fcis-25716	249	39	and	and	CCONJ
fcis-25716	249	40	chung	chung	PROPN
fcis-25716	249	41	-	-	PUNCT
fcis-25716	249	42	ming	ming	PROPN
fcis-25716	249	43	chen	chen	PROPN
fcis-25716	249	44	.	.	PUNCT
fcis-25716	250	1	(	(	PUNCT
fcis-25716	250	2	2016	2016	NUM
fcis-25716	250	3	)	)	PUNCT
fcis-25716	250	4	computer	computer	NOUN
fcis-25716	250	5	-	-	PUNCT
fcis-25716	250	6	aided	aid	VERB
fcis-25716	250	7	diagnosis	diagnosis	NOUN
fcis-25716	250	8	with	with	ADP
fcis-25716	250	9	deep	deep	ADJ
fcis-25716	250	10	learning	learning	NOUN
fcis-25716	250	11	architecture	architecture	NOUN
fcis-25716	250	12	:	:	PUNCT
fcis-25716	250	13	applications	application	NOUN
fcis-25716	250	14	to	to	ADP
fcis-25716	250	15	breast	breast	NOUN
fcis-25716	250	16	lesions	lesion	NOUN
fcis-25716	250	17	in	in	ADP
fcis-25716	250	18	us	us	PROPN
fcis-25716	250	19	images	image	NOUN
fcis-25716	250	20	and	and	CCONJ
fcis-25716	250	21	pulmonary	pulmonary	ADJ
fcis-25716	250	22	nodules	nodule	NOUN
fcis-25716	250	23	in	in	ADP
fcis-25716	250	24	ct	ct	PROPN
fcis-25716	250	25	scans	scan	NOUN
fcis-25716	250	26	.	.	PUNCT
fcis-25716	251	1	scientific	scientific	ADJ
fcis-25716	251	2	reports	report	NOUN
fcis-25716	251	3	6	6	NUM
fcis-25716	251	4	,	,	PUNCT
fcis-25716	251	5	no	no	INTJ
fcis-25716	251	6	.	.	NOUN
fcis-25716	251	7	1	1	NUM
fcis-25716	251	8	:	:	SYM
fcis-25716	251	9	24454	24454	NUM
fcis-25716	251	10	.	.	PUNCT
fcis-25716	252	1	[	[	X
fcis-25716	252	2	5	5	NUM
fcis-25716	252	3	]	]	PUNCT
fcis-25716	252	4	aasma	aasma	PROPN
fcis-25716	252	5	,	,	PUNCT
fcis-25716	252	6	shaukat	shaukat	PROPN
fcis-25716	252	7	,	,	PUNCT
fcis-25716	252	8	charles	charles	PROPN
fcis-25716	252	9	j.	j.	PROPN
fcis-25716	252	10	kahi	kahi	PROPN
fcis-25716	252	11	,	,	PUNCT
fcis-25716	252	12	carol	carol	PROPN
fcis-25716	252	13	a.	a.	PROPN
fcis-25716	252	14	burke	burke	PROPN
fcis-25716	252	15	,	,	PUNCT
fcis-25716	252	16	linda	linda	PROPN
fcis-25716	252	17	rabeneck	rabeneck	PROPN
fcis-25716	252	18	,	,	PUNCT
fcis-25716	252	19	bryan	bryan	PROPN
fcis-25716	252	20	g.	g.	PROPN
fcis-25716	252	21	sauer	sauer	PROPN
fcis-25716	252	22	,	,	PUNCT
fcis-25716	252	23	and	and	CCONJ
fcis-25716	252	24	douglas	douglas	PROPN
fcis-25716	252	25	k.	k.	PROPN
fcis-25716	252	26	rex	rex	PROPN
fcis-25716	252	27	.	.	PUNCT
fcis-25716	253	1	(	(	PUNCT
fcis-25716	253	2	2021)acg	2021)acg	NUM
fcis-25716	253	3	clinical	clinical	ADJ
fcis-25716	253	4	guidelines	guideline	NOUN
fcis-25716	253	5	:	:	PUNCT
fcis-25716	253	6	colorectal	colorectal	ADJ
fcis-25716	253	7	cancer	cancer	NOUN
fcis-25716	253	8	screening	screen	VERB
fcis-25716	253	9	2021	2021	NUM
fcis-25716	253	10	.	.	PUNCT
fcis-25716	254	1	the	the	DET
fcis-25716	254	2	american	american	PROPN
fcis-25716	254	3	journal	journal	PROPN
fcis-25716	254	4	of	of	ADP
fcis-25716	254	5	gastroenterology	gastroenterology	NOUN
fcis-25716	254	6	116	116	NUM
fcis-25716	254	7	,	,	PUNCT
fcis-25716	254	8	no	no	INTJ
fcis-25716	254	9	.	.	NOUN
fcis-25716	255	1	3	3	NUM
fcis-25716	255	2	:	:	PUNCT
fcis-25716	255	3	458	458	NUM
fcis-25716	255	4	-	-	SYM
fcis-25716	255	5	479	479	NUM
fcis-25716	255	6	.	.	PUNCT
fcis-25716	256	1	[	[	X
fcis-25716	256	2	6	6	NUM
fcis-25716	256	3	]	]	PUNCT
fcis-25716	256	4	pacal	pacal	ADJ
fcis-25716	256	5	,	,	PUNCT
fcis-25716	256	6	ishak	ishak	PROPN
fcis-25716	256	7	,	,	PUNCT
fcis-25716	256	8	dervis	dervis	PROPN
fcis-25716	256	9	karaboga	karaboga	PROPN
fcis-25716	256	10	,	,	PUNCT
fcis-25716	256	11	alper	alper	PROPN
fcis-25716	256	12	basturk	basturk	PROPN
fcis-25716	256	13	,	,	PUNCT
fcis-25716	256	14	bahriye	bahriye	PROPN
fcis-25716	256	15	akay	akay	PROPN
fcis-25716	256	16	,	,	PUNCT
fcis-25716	256	17	and	and	CCONJ
fcis-25716	256	18	ufuk	ufuk	ADV
fcis-25716	256	19	nalbantoglu	nalbantoglu	ADJ
fcis-25716	256	20	.	.	PUNCT
fcis-25716	257	1	(	(	PUNCT
fcis-25716	257	2	2020	2020	NUM
fcis-25716	257	3	)	)	PUNCT
fcis-25716	257	4	a	a	DET
fcis-25716	257	5	comprehensive	comprehensive	ADJ
fcis-25716	257	6	review	review	NOUN
fcis-25716	257	7	of	of	ADP
fcis-25716	257	8	deep	deep	ADJ
fcis-25716	257	9	learning	learning	NOUN
fcis-25716	257	10	in	in	ADP
fcis-25716	257	11	colon	colon	NOUN
fcis-25716	257	12	cancer	cancer	NOUN
fcis-25716	257	13	.	.	PUNCT
fcis-25716	258	1	computers	computer	NOUN
fcis-25716	258	2	in	in	ADP
fcis-25716	258	3	biology	biology	NOUN
fcis-25716	258	4	and	and	CCONJ
fcis-25716	258	5	medicine	medicine	NOUN
fcis-25716	258	6	126	126	NUM
fcis-25716	258	7	:	:	PUNCT
fcis-25716	258	8	104003	104003	NUM
fcis-25716	258	9	.	.	PUNCT
fcis-25716	259	1	[	[	X
fcis-25716	259	2	7	7	NUM
fcis-25716	259	3	]	]	SYM
fcis-25716	259	4	ronneberger	ronneberger	NOUN
fcis-25716	259	5	,	,	PUNCT
fcis-25716	259	6	olaf	olaf	PROPN
fcis-25716	259	7	,	,	PUNCT
fcis-25716	259	8	philipp	philipp	PROPN
fcis-25716	259	9	fischer	fischer	PROPN
fcis-25716	259	10	,	,	PUNCT
fcis-25716	259	11	and	and	CCONJ
fcis-25716	259	12	thomas	thomas	PROPN
fcis-25716	259	13	brox	brox	PROPN
fcis-25716	259	14	.	.	PUNCT
fcis-25716	260	1	(	(	PUNCT
fcis-25716	260	2	2015	2015	NUM
fcis-25716	260	3	)	)	PUNCT
fcis-25716	260	4	u	u	NOUN
fcis-25716	260	5	-	-	NOUN
fcis-25716	260	6	net	net	ADJ
fcis-25716	260	7	:	:	PUNCT
fcis-25716	260	8	convolutional	convolutional	ADJ
fcis-25716	260	9	networks	network	NOUN
fcis-25716	260	10	for	for	ADP
fcis-25716	260	11	biomedical	biomedical	ADJ
fcis-25716	260	12	image	image	NOUN
fcis-25716	260	13	segmentation	segmentation	NOUN
fcis-25716	260	14	.	.	PUNCT
fcis-25716	261	1	in	in	ADP
fcis-25716	261	2	medical	medical	ADJ
fcis-25716	261	3	image	image	NOUN
fcis-25716	261	4	computing	computing	NOUN
fcis-25716	261	5	and	and	CCONJ
fcis-25716	261	6	computerassisted	computerassiste	VERB
fcis-25716	261	7	intervention	intervention	NOUN
fcis-25716	261	8	–	–	PUNCT
fcis-25716	261	9	miccai	miccai	NOUN
fcis-25716	261	10	2015	2015	NUM
fcis-25716	261	11	:	:	PUNCT
fcis-25716	261	12	18th	18th	ADJ
fcis-25716	261	13	international	international	ADJ
fcis-25716	261	14	conference	conference	NOUN
fcis-25716	261	15	,	,	PUNCT
fcis-25716	261	16	munich	munich	PROPN
fcis-25716	261	17	,	,	PUNCT
fcis-25716	261	18	germany	germany	PROPN
fcis-25716	261	19	,	,	PUNCT
fcis-25716	261	20	october	october	PROPN
fcis-25716	261	21	5	5	NUM
fcis-25716	261	22	-	-	SYM
fcis-25716	261	23	9	9	NUM
fcis-25716	261	24	,	,	PUNCT
fcis-25716	261	25	2015	2015	NUM
fcis-25716	261	26	,	,	PUNCT
fcis-25716	261	27	proceedings	proceeding	NOUN
fcis-25716	261	28	,	,	PUNCT
fcis-25716	261	29	part	part	NOUN
fcis-25716	261	30	iii	iii	PROPN
fcis-25716	261	31	18	18	NUM
fcis-25716	261	32	,	,	PUNCT
fcis-25716	261	33	pp	pp	ADJ
fcis-25716	261	34	.	.	PUNCT
fcis-25716	262	1	234	234	NUM
fcis-25716	262	2	-	-	SYM
fcis-25716	262	3	241	241	NUM
fcis-25716	262	4	.	.	PUNCT
fcis-25716	263	1	springer	springer	NOUN
fcis-25716	263	2	international	international	ADJ
fcis-25716	263	3	publishing	publishing	NOUN
fcis-25716	263	4	.	.	PUNCT
fcis-25716	264	1	[	[	X
fcis-25716	264	2	8	8	NUM
fcis-25716	264	3	]	]	X
fcis-25716	264	4	zhou	zhou	PROPN
fcis-25716	264	5	,	,	PUNCT
fcis-25716	264	6	zongwei	zongwei	PROPN
fcis-25716	264	7	,	,	PUNCT
fcis-25716	264	8	md	md	PROPN
fcis-25716	264	9	mahfuzur	mahfuzur	PROPN
fcis-25716	264	10	rahman	rahman	PROPN
fcis-25716	264	11	siddiquee	siddiquee	PROPN
fcis-25716	264	12	,	,	PUNCT
fcis-25716	264	13	nima	nima	PROPN
fcis-25716	264	14	tajbakhsh	tajbakhsh	PROPN
fcis-25716	264	15	,	,	PUNCT
fcis-25716	264	16	and	and	CCONJ
fcis-25716	264	17	jianming	jianme	VERB
fcis-25716	264	18	liang	liang	PROPN
fcis-25716	264	19	.	.	PROPN
fcis-25716	264	20	,	,	PUNCT
fcis-25716	264	21	(	(	PUNCT
fcis-25716	264	22	2018)unet++	2018)unet++	NUM
fcis-25716	264	23	:	:	PUNCT
fcis-25716	264	24	a	a	DET
fcis-25716	264	25	nested	nested	ADJ
fcis-25716	264	26	unet	unet	NOUN
fcis-25716	264	27	architecture	architecture	NOUN
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fcis-25716	264	29	medical	medical	ADJ
fcis-25716	264	30	image	image	NOUN
fcis-25716	264	31	segmentation	segmentation	NOUN
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fcis-25716	265	3	learning	learning	NOUN
fcis-25716	265	4	in	in	ADP
fcis-25716	265	5	medical	medical	ADJ
fcis-25716	265	6	image	image	NOUN
fcis-25716	265	7	analysis	analysis	NOUN
fcis-25716	265	8	and	and	CCONJ
fcis-25716	265	9	multimodal	multimodal	NOUN
fcis-25716	265	10	learning	learning	NOUN
fcis-25716	265	11	for	for	ADP
fcis-25716	265	12	clinical	clinical	ADJ
fcis-25716	265	13	decision	decision	NOUN
fcis-25716	265	14	support	support	NOUN
fcis-25716	265	15	:	:	PUNCT
fcis-25716	265	16	4th	4th	ADJ
fcis-25716	265	17	international	international	ADJ
fcis-25716	265	18	workshop	workshop	NOUN
fcis-25716	265	19	,	,	PUNCT
fcis-25716	265	20	dlmia	dlmia	PROPN
fcis-25716	265	21	2018	2018	NUM
fcis-25716	265	22	,	,	PUNCT
fcis-25716	265	23	and	and	CCONJ
fcis-25716	265	24	8th	8th	ADJ
fcis-25716	265	25	international	international	ADJ
fcis-25716	265	26	workshop	workshop	NOUN
fcis-25716	265	27	,	,	PUNCT
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fcis-25716	265	30	cds	cd	NOUN
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fcis-25716	265	32	,	,	PUNCT
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fcis-25716	265	34	in	in	ADP
fcis-25716	265	35	conjunction	conjunction	NOUN
fcis-25716	265	36	with	with	ADP
fcis-25716	265	37	miccai	miccai	PROPN
fcis-25716	265	38	2018	2018	NUM
fcis-25716	265	39	,	,	PUNCT
fcis-25716	265	40	granada	granada	PROPN
fcis-25716	265	41	,	,	PUNCT
fcis-25716	265	42	spain	spain	PROPN
fcis-25716	265	43	,	,	PUNCT
fcis-25716	265	44	september	september	PROPN
fcis-25716	265	45	20	20	NUM
fcis-25716	265	46	,	,	PUNCT
fcis-25716	265	47	2018	2018	NUM
fcis-25716	265	48	,	,	PUNCT
fcis-25716	265	49	proceedings	proceeding	NOUN
fcis-25716	265	50	4	4	NUM
fcis-25716	265	51	,	,	PUNCT
fcis-25716	265	52	pp	pp	ADJ
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fcis-25716	266	1	3	3	NUM
fcis-25716	266	2	-	-	SYM
fcis-25716	266	3	11	11	NUM
fcis-25716	266	4	.	.	PUNCT
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fcis-25716	267	3	publishing	publishing	NOUN
fcis-25716	267	4	.	.	PUNCT
fcis-25716	268	1	[	[	X
fcis-25716	268	2	9	9	NUM
fcis-25716	268	3	]	]	SYM
fcis-25716	268	4	jha	jha	PROPN
fcis-25716	268	5	,	,	PUNCT
fcis-25716	268	6	debesh	debesh	NOUN
fcis-25716	268	7	,	,	PUNCT
fcis-25716	268	8	et	et	PROPN
fcis-25716	268	9	al	al	PROPN
fcis-25716	268	10	.	.	PROPN
fcis-25716	269	1	(	(	PUNCT
fcis-25716	269	2	2019	2019	NUM
fcis-25716	269	3	)	)	PUNCT
fcis-25716	269	4	resunet++	resunet++	NOUN
fcis-25716	269	5	:	:	PUNCT
fcis-25716	269	6	an	an	DET
fcis-25716	269	7	advanced	advanced	ADJ
fcis-25716	269	8	architecture	architecture	NOUN
fcis-25716	269	9	for	for	ADP
fcis-25716	269	10	medical	medical	ADJ
fcis-25716	269	11	image	image	NOUN
fcis-25716	269	12	segmentation	segmentation	NOUN
fcis-25716	269	13	.	.	PUNCT
fcis-25716	270	1	2019	2019	NUM
fcis-25716	270	2	ieee	ieee	PROPN
fcis-25716	270	3	international	international	ADJ
fcis-25716	270	4	symposium	symposium	NOUN
fcis-25716	270	5	on	on	ADP
fcis-25716	270	6	multimedia	multimedia	NOUN
fcis-25716	270	7	(	(	PUNCT
fcis-25716	270	8	ism	ism	NOUN
fcis-25716	270	9	)	)	PUNCT
fcis-25716	270	10	.	.	PUNCT
fcis-25716	271	1	ieee	ieee	PROPN
fcis-25716	271	2	.	.	PUNCT
fcis-25716	272	1	[	[	X
fcis-25716	272	2	10	10	NUM
fcis-25716	272	3	]	]	X
fcis-25716	272	4	nguyen	nguyen	NOUN
fcis-25716	272	5	,	,	PUNCT
fcis-25716	272	6	dinh	dinh	NOUN
fcis-25716	272	7	cong	cong	NOUN
fcis-25716	272	8	,	,	PUNCT
fcis-25716	272	9	and	and	CCONJ
fcis-25716	272	10	hoang	hoang	PROPN
fcis-25716	272	11	long	long	PROPN
fcis-25716	272	12	nguyen	nguyen	PROPN
fcis-25716	272	13	.	.	PUNCT
fcis-25716	273	1	(	(	PUNCT
fcis-25716	273	2	2024	2024	NUM
fcis-25716	273	3	)	)	PUNCT
fcis-25716	273	4	polypooling	polypoole	VERB
fcis-25716	273	5	:	:	PUNCT
fcis-25716	273	6	an	an	DET
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fcis-25716	273	8	polyp	polyp	NOUN
fcis-25716	273	9	segmentation	segmentation	NOUN
fcis-25716	273	10	from	from	ADP
fcis-25716	273	11	colonoscopy	colonoscopy	NOUN
fcis-25716	273	12	images	image	NOUN
fcis-25716	273	13	.	.	PUNCT
fcis-25716	273	14	biomedical	biomedical	ADJ
fcis-25716	273	15	signal	signal	NOUN
fcis-25716	273	16	processing	processing	NOUN
fcis-25716	273	17	and	and	CCONJ
fcis-25716	273	18	control	control	NOUN
fcis-25716	273	19	92	92	NUM
fcis-25716	273	20	:	:	SYM
fcis-25716	273	21	105979	105979	NUM
fcis-25716	273	22	.	.	PUNCT
fcis-25716	274	1	[	[	X
fcis-25716	274	2	11	11	NUM
fcis-25716	274	3	]	]	SYM
fcis-25716	274	4	vaswani	vaswani	NOUN
fcis-25716	274	5	,	,	PUNCT
fcis-25716	274	6	ashish	ashish	PROPN
fcis-25716	274	7	,	,	PUNCT
fcis-25716	274	8	et	et	PROPN
fcis-25716	274	9	al	al	PROPN
fcis-25716	274	10	.	.	PROPN
fcis-25716	275	1	(	(	PUNCT
fcis-25716	275	2	2017	2017	NUM
fcis-25716	275	3	)	)	PUNCT
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fcis-25716	275	5	is	be	AUX
fcis-25716	275	6	all	all	PRON
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fcis-25716	275	8	need	need	VERB
fcis-25716	275	9	.	.	PUNCT
fcis-25716	276	1	advances	advance	NOUN
fcis-25716	276	2	in	in	ADP
fcis-25716	276	3	neural	neural	ADJ
fcis-25716	276	4	information	information	NOUN
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fcis-25716	276	6	systems	system	NOUN
fcis-25716	276	7	30	30	NUM
fcis-25716	276	8	.	.	PUNCT
fcis-25716	277	1	[	[	X
fcis-25716	277	2	12	12	NUM
fcis-25716	277	3	]	]	X
fcis-25716	277	4	dosovitskiy	dosovitskiy	NOUN
fcis-25716	277	5	,	,	PUNCT
fcis-25716	277	6	alexey	alexey	NOUN
fcis-25716	277	7	,	,	PUNCT
fcis-25716	277	8	et	et	PROPN
fcis-25716	277	9	al	al	PROPN
fcis-25716	277	10	.	.	PROPN
fcis-25716	277	11	(	(	PUNCT
fcis-25716	277	12	2020	2020	NUM
fcis-25716	277	13	)	)	PUNCT
fcis-25716	277	14	an	an	DET
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fcis-25716	277	18	16x16	16x16	NUM
fcis-25716	277	19	words	word	NOUN
fcis-25716	277	20	:	:	PUNCT
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fcis-25716	278	4	.	.	PUNCT
fcis-25716	279	1	[	[	X
fcis-25716	279	2	13	13	NUM
fcis-25716	279	3	]	]	X
fcis-25716	279	4	kalman	kalman	NOUN
fcis-25716	279	5	,	,	PUNCT
fcis-25716	279	6	rudolph	rudolph	PROPN
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fcis-25716	279	8	.	.	PUNCT
fcis-25716	280	1	a	a	DET
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fcis-25716	280	4	to	to	ADP
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fcis-25716	280	7	and	and	CCONJ
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fcis-25716	280	9	problems	problem	NOUN
fcis-25716	280	10	.	.	PUNCT
fcis-25716	281	1	(	(	PUNCT
fcis-25716	281	2	1960	1960	NUM
fcis-25716	281	3	):	):	PUNCT
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fcis-25716	281	5	-	-	SYM
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fcis-25716	281	7	.	.	PUNCT
fcis-25716	282	1	[	[	X
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fcis-25716	282	3	]	]	SYM
fcis-25716	282	4	gu	gu	PROPN
fcis-25716	282	5	,	,	PUNCT
fcis-25716	282	6	albert	albert	PROPN
fcis-25716	282	7	,	,	PUNCT
fcis-25716	282	8	and	and	CCONJ
fcis-25716	282	9	tri	tri	PROPN
fcis-25716	282	10	dao	dao	PROPN
fcis-25716	282	11	.	.	PUNCT
fcis-25716	282	12	(	(	PUNCT
fcis-25716	282	13	2023	2023	NUM
fcis-25716	282	14	)	)	PUNCT
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fcis-25716	282	16	:	:	PUNCT
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fcis-25716	282	18	-	-	PUNCT
fcis-25716	282	19	time	time	NOUN
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fcis-25716	282	21	modeling	modeling	NOUN
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fcis-25716	282	23	selective	selective	ADJ
fcis-25716	282	24	state	state	NOUN
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fcis-25716	282	26	.	.	PUNCT
fcis-25716	283	1	arxiv	arxiv	PROPN
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fcis-25716	283	4	.	.	PUNCT
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fcis-25716	284	3	]	]	X
fcis-25716	284	4	zhu	zhu	PROPN
fcis-25716	284	5	,	,	PUNCT
fcis-25716	284	6	lianghui	lianghui	NOUN
fcis-25716	284	7	,	,	PUNCT
fcis-25716	284	8	et	et	PROPN
fcis-25716	284	9	al	al	PROPN
fcis-25716	284	10	.	.	PROPN
fcis-25716	284	11	(	(	PUNCT
fcis-25716	284	12	2024	2024	NUM
fcis-25716	284	13	)	)	PUNCT
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fcis-25716	284	15	mamba	mamba	NOUN
fcis-25716	284	16	:	:	PUNCT
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fcis-25716	284	23	state	state	NOUN
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fcis-25716	284	26	.	.	PUNCT
fcis-25716	284	27	"	"	PUNCT
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fcis-25716	285	4	.	.	PUNCT
fcis-25716	286	1	[	[	X
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fcis-25716	286	3	]	]	X
fcis-25716	286	4	ruan	ruan	PROPN
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fcis-25716	286	7	,	,	PUNCT
fcis-25716	286	8	and	and	CCONJ
fcis-25716	286	9	suncheng	suncheng	PROPN
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fcis-25716	286	11	.	.	PUNCT
fcis-25716	287	1	(	(	PUNCT
fcis-25716	287	2	2024	2024	NUM
fcis-25716	287	3	)	)	PUNCT
fcis-25716	287	4	vm	vm	NOUN
fcis-25716	287	5	-	-	NOUN
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fcis-25716	287	7	:	:	PUNCT
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fcis-25716	287	15	.	.	PUNCT
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fcis-25716	288	2	preprint	preprint	NOUN
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fcis-25716	288	4	.	.	PUNCT
fcis-25716	289	1	[	[	X
fcis-25716	289	2	17	17	NUM
fcis-25716	289	3	]	]	X
fcis-25716	289	4	fan	fan	PROPN
fcis-25716	289	5	,	,	PUNCT
fcis-25716	289	6	deng	deng	PROPN
fcis-25716	289	7	-	-	PUNCT
fcis-25716	289	8	ping	ping	PROPN
fcis-25716	289	9	,	,	PUNCT
fcis-25716	289	10	et	et	PROPN
fcis-25716	289	11	al	al	PROPN
fcis-25716	289	12	.	.	PROPN
fcis-25716	289	13	(	(	PUNCT
fcis-25716	289	14	2020	2020	NUM
fcis-25716	289	15	)	)	PUNCT
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fcis-25716	289	17	:	:	PUNCT
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fcis-25716	289	25	.	.	PUNCT
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fcis-25716	290	2	conference	conference	NOUN
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fcis-25716	290	4	medical	medical	ADJ
fcis-25716	290	5	image	image	NOUN
fcis-25716	290	6	computing	computing	NOUN
fcis-25716	290	7	and	and	CCONJ
fcis-25716	290	8	computer	computer	NOUN
fcis-25716	290	9	-	-	PUNCT
fcis-25716	290	10	assisted	assist	VERB
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fcis-25716	290	12	.	.	PUNCT
fcis-25716	291	1	cham	cham	PROPN
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fcis-25716	291	5	publishing	publishing	NOUN
fcis-25716	291	6	.	.	PUNCT
fcis-25716	292	1	[	[	X
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fcis-25716	292	3	]	]	X
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fcis-25716	292	5	,	,	PUNCT
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fcis-25716	292	7	,	,	PUNCT
fcis-25716	292	8	et	et	PROPN
fcis-25716	292	9	al	al	PROPN
fcis-25716	292	10	.	.	PROPN
fcis-25716	292	11	(	(	PUNCT
fcis-25716	292	12	2021	2021	NUM
fcis-25716	292	13	)	)	PUNCT
fcis-25716	292	14	transunet	transunet	NOUN
fcis-25716	292	15	:	:	PUNCT
fcis-25716	292	16	transformers	transformer	NOUN
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fcis-25716	292	18	strong	strong	ADJ
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fcis-25716	292	20	for	for	ADP
fcis-25716	292	21	medical	medical	ADJ
fcis-25716	292	22	image	image	NOUN
fcis-25716	292	23	segmentation	segmentation	NOUN
fcis-25716	292	24	.	.	PUNCT
fcis-25716	293	1	arxiv	arxiv	PROPN
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fcis-25716	293	4	.	.	PUNCT
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fcis-25716	294	13	)	)	PUNCT
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fcis-25716	294	25	image	image	NOUN
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fcis-25716	294	27	.	.	PUNCT
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fcis-25716	295	4	computer	computer	NOUN
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fcis-25716	296	1	cham	cham	PROPN
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fcis-25716	296	6	.	.	PUNCT
fcis-25716	297	1	[	[	X
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fcis-25716	297	3	]	]	SYM
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fcis-25716	297	9	h.	h.	PROPN
fcis-25716	297	10	smedsrud	smedsrud	PROPN
fcis-25716	297	11	,	,	PUNCT
fcis-25716	297	12	michael	michael	PROPN
fcis-25716	297	13	a.	a.	PROPN
fcis-25716	297	14	riegler	riegler	PROPN
fcis-25716	297	15	,	,	PUNCT
fcis-25716	297	16	pål	pål	NOUN
fcis-25716	297	17	halvorsen	halvorsen	PROPN
fcis-25716	297	18	,	,	PUNCT
fcis-25716	297	19	thomas	thomas	PROPN
fcis-25716	297	20	de	de	PROPN
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fcis-25716	297	22	,	,	PUNCT
fcis-25716	297	23	dag	dag	PROPN
fcis-25716	297	24	johansen	johansen	PROPN
fcis-25716	297	25	,	,	PUNCT
fcis-25716	297	26	and	and	CCONJ
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fcis-25716	297	28	d.	d.	PROPN
fcis-25716	297	29	johansen	johansen	PROPN
fcis-25716	297	30	.	.	PUNCT
fcis-25716	298	1	(	(	PUNCT
fcis-25716	298	2	2020	2020	NUM
fcis-25716	298	3	)	)	PUNCT
fcis-25716	298	4	kvasir	kvasir	PROPN
fcis-25716	298	5	-	-	PUNCT
fcis-25716	298	6	seg	seg	PROPN
fcis-25716	298	7	:	:	PUNCT
fcis-25716	298	8	a	a	DET
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fcis-25716	298	10	polyp	polyp	NOUN
fcis-25716	298	11	dataset	dataset	NOUN
fcis-25716	298	12	.	.	PUNCT
fcis-25716	299	1	in	in	ADP
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fcis-25716	299	4	:	:	PUNCT
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fcis-25716	299	8	,	,	PUNCT
fcis-25716	299	9	mmm	mmm	NOUN
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fcis-25716	299	11	,	,	PUNCT
fcis-25716	299	12	daejeon	daejeon	NOUN
fcis-25716	299	13	,	,	PUNCT
fcis-25716	299	14	south	south	PROPN
fcis-25716	299	15	korea	korea	PROPN
fcis-25716	299	16	,	,	PUNCT
fcis-25716	299	17	january	january	PROPN
fcis-25716	299	18	5–8	5–8	NUM
fcis-25716	299	19	,	,	PUNCT
fcis-25716	299	20	2020	2020	NUM
fcis-25716	299	21	,	,	PUNCT
fcis-25716	299	22	proceedings	proceeding	NOUN
fcis-25716	299	23	,	,	PUNCT
fcis-25716	299	24	part	part	NOUN
fcis-25716	299	25	ii	ii	PROPN
fcis-25716	299	26	26	26	NUM
fcis-25716	299	27	,	,	PUNCT
fcis-25716	299	28	pp	pp	ADJ
fcis-25716	299	29	.	.	PUNCT
fcis-25716	300	1	451	451	NUM
fcis-25716	300	2	-	-	SYM
fcis-25716	300	3	462	462	NUM
fcis-25716	300	4	.	.	PUNCT
fcis-25716	301	1	springer	springer	PROPN
fcis-25716	301	2	international	international	ADJ
fcis-25716	301	3	publishing	publishing	NOUN
fcis-25716	301	4	.	.	PUNCT
fcis-25716	302	1	[	[	X
fcis-25716	302	2	21	21	NUM
fcis-25716	302	3	]	]	X
fcis-25716	302	4	bernal	bernal	PROPN
fcis-25716	302	5	,	,	PUNCT
fcis-25716	302	6	jorge	jorge	NOUN
fcis-25716	302	7	,	,	PUNCT
fcis-25716	302	8	f.	f.	PROPN
fcis-25716	302	9	javier	javier	PROPN
fcis-25716	302	10	sánchez	sánchez	PROPN
fcis-25716	302	11	,	,	PUNCT
fcis-25716	302	12	gloria	gloria	PROPN
fcis-25716	302	13	fernández	fernández	PROPN
fcis-25716	302	14	-	-	PUNCT
fcis-25716	302	15	esparrach	esparrach	PROPN
fcis-25716	302	16	,	,	PUNCT
fcis-25716	302	17	debora	debora	PROPN
fcis-25716	302	18	gil	gil	PROPN
fcis-25716	302	19	,	,	PUNCT
fcis-25716	302	20	cristina	cristina	PROPN
fcis-25716	302	21	rodríguez	rodríguez	PROPN
fcis-25716	302	22	,	,	PUNCT
fcis-25716	302	23	and	and	CCONJ
fcis-25716	302	24	fernando	fernando	PROPN
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fcis-25716	302	26	(	(	PUNCT
fcis-25716	302	27	2015	2015	NUM
fcis-25716	302	28	)	)	PUNCT
fcis-25716	302	29	wm	wm	PROPN
fcis-25716	302	30	-	-	PUNCT
fcis-25716	302	31	dova	dova	PROPN
fcis-25716	302	32	maps	map	NOUN
fcis-25716	302	33	for	for	ADP
fcis-25716	302	34	accurate	accurate	ADJ
fcis-25716	302	35	polyp	polyp	NOUN
fcis-25716	302	36	highlighting	highlight	VERB
fcis-25716	302	37	in	in	ADP
fcis-25716	302	38	colonoscopy	colonoscopy	NOUN
fcis-25716	302	39	:	:	PUNCT
fcis-25716	302	40	validation	validation	NOUN
fcis-25716	302	41	vs.	vs.	ADP
fcis-25716	302	42	saliency	saliency	NOUN
fcis-25716	302	43	maps	map	NOUN
fcis-25716	302	44	from	from	ADP
fcis-25716	302	45	physicians	physician	NOUN
fcis-25716	302	46	.	.	PUNCT
fcis-25716	303	1	computerized	computerized	ADJ
fcis-25716	303	2	medical	medical	ADJ
fcis-25716	303	3	imaging	imaging	NOUN
fcis-25716	303	4	and	and	CCONJ
fcis-25716	303	5	graphics	graphic	NOUN
fcis-25716	303	6	43	43	NUM
fcis-25716	303	7	:	:	PUNCT
fcis-25716	303	8	99	99	NUM
fcis-25716	303	9	-	-	SYM
fcis-25716	303	10	111	111	NUM
fcis-25716	303	11	.	.	PUNCT
fcis-25716	304	1	[	[	X
fcis-25716	304	2	22	22	NUM
fcis-25716	304	3	]	]	PUNCT
fcis-25716	304	4	tajbakhsh	tajbakhsh	NOUN
fcis-25716	304	5	n	n	CCONJ
fcis-25716	304	6	,	,	PUNCT
fcis-25716	304	7	gurudu	gurudu	PROPN
fcis-25716	304	8	sr	sr	PROPN
fcis-25716	304	9	,	,	PUNCT
fcis-25716	304	10	liang	liang	PROPN
fcis-25716	304	11	j	j	PROPN
fcis-25716	304	12	(	(	PUNCT
fcis-25716	304	13	2016	2016	NUM
fcis-25716	304	14	)	)	PUNCT
fcis-25716	304	15	automated	automate	VERB
fcis-25716	304	16	polyp	polyp	NOUN
fcis-25716	304	17	detection	detection	NOUN
fcis-25716	304	18	in	in	ADP
fcis-25716	304	19	colonoscopy	colonoscopy	NOUN
fcis-25716	304	20	videos	video	NOUN
fcis-25716	304	21	using	use	VERB
fcis-25716	304	22	shape	shape	NOUN
fcis-25716	304	23	and	and	CCONJ
fcis-25716	304	24	context	context	NOUN
fcis-25716	304	25	information	information	NOUN
fcis-25716	304	26	.	.	PUNCT
fcis-25716	305	1	ieee	ieee	PROPN
fcis-25716	305	2	trans	trans	PROPN
fcis-25716	305	3	med	med	PROPN
fcis-25716	305	4	imaging	imaging	NOUN
fcis-25716	305	5	(	(	PUNCT
fcis-25716	305	6	tmi	tmi	PROPN
fcis-25716	305	7	)	)	PUNCT
fcis-25716	305	8	35(2):630–644	35(2):630–644	PROPN
fcis-25716	305	9	.	.	PUNCT
fcis-25716	305	10	https://doi.org/10.1109/tmi	https://doi.org/10.1109/tmi	NOUN
fcis-25716	305	11	.	.	PUNCT
fcis-25716	306	1	[	[	X
fcis-25716	306	2	23	23	NUM
fcis-25716	306	3	]	]	X
fcis-25716	306	4	silva	silva	PROPN
fcis-25716	306	5	,	,	PUNCT
fcis-25716	306	6	juan	juan	PROPN
fcis-25716	306	7	,	,	PUNCT
fcis-25716	306	8	aymeric	aymeric	ADJ
fcis-25716	306	9	histace	histace	NOUN
fcis-25716	306	10	,	,	PUNCT
fcis-25716	306	11	olivier	olivier	PROPN
fcis-25716	306	12	romain	romain	PROPN
fcis-25716	306	13	,	,	PUNCT
fcis-25716	306	14	xavier	xavier	PROPN
fcis-25716	306	15	dray	dray	PROPN
fcis-25716	306	16	,	,	PUNCT
fcis-25716	306	17	and	and	CCONJ
fcis-25716	306	18	bertrand	bertrand	PROPN
fcis-25716	306	19	granado	granado	PROPN
fcis-25716	306	20	(	(	PUNCT
fcis-25716	306	21	2014	2014	NUM
fcis-25716	306	22	)	)	PUNCT
fcis-25716	306	23	toward	toward	ADP
fcis-25716	306	24	embedded	embed	VERB
fcis-25716	306	25	detection	detection	NOUN
fcis-25716	306	26	of	of	ADP
fcis-25716	306	27	polyps	polyp	NOUN
fcis-25716	306	28	in	in	ADP
fcis-25716	306	29	wce	wce	NOUN
fcis-25716	306	30	images	image	NOUN
fcis-25716	306	31	for	for	ADP
fcis-25716	306	32	early	early	ADJ
fcis-25716	306	33	diagnosis	diagnosis	NOUN
fcis-25716	306	34	of	of	ADP
fcis-25716	306	35	colorectal	colorectal	ADJ
fcis-25716	306	36	cancer	cancer	NOUN
fcis-25716	306	37	.	.	PUNCT
fcis-25716	307	1	international	international	ADJ
fcis-25716	307	2	journal	journal	PROPN
fcis-25716	307	3	of	of	ADP
fcis-25716	307	4	computer	computer	NOUN
fcis-25716	307	5	assisted	assist	VERB
fcis-25716	307	6	radiology	radiology	NOUN
fcis-25716	307	7	and	and	CCONJ
fcis-25716	307	8	surgery	surgery	NOUN
fcis-25716	307	9	9	9	NUM
fcis-25716	307	10	:	:	PUNCT
fcis-25716	307	11	283	283	NUM
fcis-25716	307	12	-	-	SYM
fcis-25716	307	13	293	293	NUM
fcis-25716	307	14	.	.	PUNCT
fcis-25716	308	1	[	[	X
fcis-25716	308	2	24	24	NUM
fcis-25716	308	3	]	]	X
fcis-25716	308	4	liao	liao	PROPN
fcis-25716	308	5	,	,	PUNCT
fcis-25716	308	6	ting	ting	PROPN
fcis-25716	308	7	-	-	PUNCT
fcis-25716	308	8	yu	yu	PROPN
fcis-25716	308	9	,	,	PUNCT
fcis-25716	308	10	et	et	PROPN
fcis-25716	308	11	al	al	PROPN
fcis-25716	308	12	.	.	PROPN
fcis-25716	308	13	(	(	PUNCT
fcis-25716	308	14	2022	2022	NUM
fcis-25716	308	15	)	)	PUNCT
fcis-25716	308	16	hardnet	hardnet	NOUN
fcis-25716	308	17	-	-	PUNCT
fcis-25716	308	18	dfus	dfus	NOUN
fcis-25716	308	19	:	:	PUNCT
fcis-25716	308	20	an	an	DET
fcis-25716	308	21	enhanced	enhanced	ADJ
fcis-25716	308	22	harmonically	harmonically	ADV
fcis-25716	308	23	-	-	PUNCT
fcis-25716	308	24	connected	connect	VERB
fcis-25716	308	25	network	network	NOUN
fcis-25716	308	26	for	for	ADP
fcis-25716	308	27	diabetic	diabetic	ADJ
fcis-25716	308	28	foot	foot	NOUN
fcis-25716	308	29	ulcer	ulcer	NOUN
fcis-25716	308	30	image	image	NOUN
fcis-25716	308	31	segmentation	segmentation	NOUN
fcis-25716	308	32	and	and	CCONJ
fcis-25716	308	33	colonoscopy	colonoscopy	VERB
fcis-25716	308	34	polyp	polyp	NOUN
fcis-25716	308	35	segmentation	segmentation	NOUN
fcis-25716	308	36	.	.	PUNCT
fcis-25716	309	1	arxiv	arxiv	PROPN
fcis-25716	309	2	preprint	preprint	NOUN
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fcis-25716	309	4	.	.	PUNCT
fcis-25716	310	1	[	[	X
fcis-25716	310	2	25	25	NUM
fcis-25716	310	3	]	]	X
fcis-25716	310	4	sun	sun	NOUN
fcis-25716	310	5	,	,	PUNCT
fcis-25716	310	6	ke	ke	PROPN
fcis-25716	310	7	,	,	PUNCT
fcis-25716	310	8	et	et	PROPN
fcis-25716	310	9	al	al	PROPN
fcis-25716	310	10	.	.	PUNCT
fcis-25716	311	1	(	(	PUNCT
fcis-25716	311	2	2019)deep	2019)deep	NUM
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fcis-25716	311	4	-	-	PUNCT
fcis-25716	311	5	resolution	resolution	NOUN
fcis-25716	311	6	representation	representation	NOUN
fcis-25716	311	7	learning	learning	NOUN
fcis-25716	311	8	for	for	ADP
fcis-25716	311	9	human	human	ADJ
fcis-25716	311	10	pose	pose	NOUN
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fcis-25716	311	12	of	of	ADP
fcis-25716	311	13	the	the	DET
fcis-25716	311	14	ieee/	ieee/	NUM
fcis-25716	311	15	cvf	cvf	NOUN
fcis-25716	311	16	conference	conference	NOUN
fcis-25716	311	17	on	on	ADP
fcis-25716	311	18	computer	computer	NOUN
fcis-25716	311	19	vision	vision	NOUN
fcis-25716	311	20	and	and	CCONJ
fcis-25716	311	21	pattern	pattern	NOUN
fcis-25716	311	22	recognition	recognition	NOUN
fcis-25716	311	23	.	.	PUNCT
fcis-25716	312	1	39	39	NUM
fcis-25716	313	1	[	[	X
fcis-25716	313	2	26	26	NUM
fcis-25716	313	3	]	]	X
fcis-25716	313	4	zhao	zhao	PROPN
fcis-25716	313	5	,	,	PUNCT
fcis-25716	313	6	sijie	sijie	PROPN
fcis-25716	313	7	,	,	PUNCT
fcis-25716	313	8	et	et	PROPN
fcis-25716	313	9	al	al	PROPN
fcis-25716	313	10	.	.	PROPN
fcis-25716	314	1	(	(	PUNCT
fcis-25716	314	2	2023	2023	NUM
fcis-25716	314	3	)	)	PUNCT
fcis-25716	314	4	exchanging	exchange	VERB
fcis-25716	314	5	dual	dual	ADJ
fcis-25716	314	6	-	-	PUNCT
fcis-25716	314	7	encoder	encoder	NOUN
fcis-25716	314	8	–	–	PUNCT
fcis-25716	314	9	decoder	decoder	NOUN
fcis-25716	314	10	:	:	PUNCT
fcis-25716	314	11	a	a	DET
fcis-25716	314	12	new	new	ADJ
fcis-25716	314	13	strategy	strategy	NOUN
fcis-25716	314	14	for	for	ADP
fcis-25716	314	15	change	change	NOUN
fcis-25716	314	16	detection	detection	NOUN
fcis-25716	314	17	with	with	ADP
fcis-25716	314	18	semantic	semantic	ADJ
fcis-25716	314	19	guidance	guidance	NOUN
fcis-25716	314	20	and	and	CCONJ
fcis-25716	314	21	spatial	spatial	ADJ
fcis-25716	314	22	localization	localization	NOUN
fcis-25716	314	23	.	.	PUNCT
fcis-25716	315	1	ieee	ieee	NOUN
fcis-25716	315	2	transactions	transaction	NOUN
fcis-25716	315	3	on	on	ADP
fcis-25716	315	4	geoscience	geoscience	NOUN
fcis-25716	315	5	and	and	CCONJ
fcis-25716	315	6	remote	remote	ADJ
fcis-25716	315	7	sensing	sense	VERB
fcis-25716	315	8	61	61	NUM
fcis-25716	315	9	:	:	SYM
fcis-25716	315	10	1	1	NUM
fcis-25716	315	11	-	-	SYM
fcis-25716	315	12	16	16	NUM
fcis-25716	315	13	.	.	PUNCT
fcis-25716	316	1	[	[	X
fcis-25716	316	2	27	27	NUM
fcis-25716	316	3	]	]	X
fcis-25716	316	4	abraham	abraham	PROPN
fcis-25716	316	5	,	,	PUNCT
fcis-25716	316	6	nabila	nabila	PROPN
fcis-25716	316	7	,	,	PUNCT
fcis-25716	316	8	and	and	CCONJ
fcis-25716	316	9	naimul	naimul	PROPN
fcis-25716	316	10	mefraz	mefraz	PROPN
fcis-25716	316	11	khan	khan	PROPN
fcis-25716	316	12	.	.	PUNCT
fcis-25716	317	1	(	(	PUNCT
fcis-25716	317	2	2019	2019	NUM
fcis-25716	317	3	)	)	PUNCT
fcis-25716	317	4	a	a	DET
fcis-25716	317	5	novel	novel	ADJ
fcis-25716	317	6	focal	focal	ADJ
fcis-25716	317	7	tversky	tversky	NOUN
fcis-25716	317	8	loss	loss	NOUN
fcis-25716	317	9	function	function	NOUN
fcis-25716	317	10	with	with	ADP
fcis-25716	317	11	improved	improved	ADJ
fcis-25716	317	12	attention	attention	NOUN
fcis-25716	317	13	u	u	NOUN
fcis-25716	317	14	-	-	NOUN
fcis-25716	317	15	net	net	ADJ
fcis-25716	317	16	for	for	ADP
fcis-25716	317	17	lesion	lesion	NOUN
fcis-25716	317	18	segmentation	segmentation	NOUN
fcis-25716	317	19	.	.	PUNCT
fcis-25716	318	1	2019	2019	NUM
fcis-25716	318	2	ieee	ieee	NOUN
fcis-25716	318	3	16th	16th	ADJ
fcis-25716	318	4	international	international	ADJ
fcis-25716	318	5	symposium	symposium	NOUN
fcis-25716	318	6	on	on	ADP
fcis-25716	318	7	biomedical	biomedical	ADJ
fcis-25716	318	8	imaging	imaging	NOUN
fcis-25716	318	9	(	(	PUNCT
fcis-25716	318	10	isbi	isbi	NOUN
fcis-25716	318	11	2019	2019	NUM
fcis-25716	318	12	)	)	PUNCT
fcis-25716	318	13	.	.	PUNCT
fcis-25716	319	1	ieee	ieee	NOUN
fcis-25716	319	2	.	.	PUNCT
fcis-25716	320	1	[	[	X
fcis-25716	320	2	28	28	NUM
fcis-25716	320	3	]	]	X
fcis-25716	320	4	woo	woo	NOUN
fcis-25716	320	5	,	,	PUNCT
fcis-25716	320	6	sanghyun	sanghyun	NOUN
fcis-25716	320	7	,	,	PUNCT
fcis-25716	320	8	et	et	PROPN
fcis-25716	320	9	al	al	PROPN
fcis-25716	320	10	.	.	PUNCT
fcis-25716	321	1	(	(	PUNCT
fcis-25716	321	2	2018	2018	NUM
fcis-25716	321	3	)	)	PUNCT
fcis-25716	321	4	cbam	cbam	NOUN
fcis-25716	321	5	:	:	PUNCT
fcis-25716	321	6	convolutional	convolutional	ADJ
fcis-25716	321	7	block	block	NOUN
fcis-25716	321	8	attention	attention	NOUN
fcis-25716	321	9	module	module	NOUN
fcis-25716	321	10	.	.	PUNCT
fcis-25716	321	11	"	"	PUNCT
fcis-25716	322	1	proceedings	proceeding	NOUN
fcis-25716	322	2	of	of	ADP
fcis-25716	322	3	the	the	DET
fcis-25716	322	4	european	european	PROPN
fcis-25716	322	5	conference	conference	PROPN
fcis-25716	322	6	on	on	ADP
fcis-25716	322	7	computer	computer	NOUN
fcis-25716	322	8	vision	vision	NOUN
fcis-25716	322	9	(	(	PUNCT
fcis-25716	322	10	eccv	eccv	ADV
fcis-25716	322	11	)	)	PUNCT
fcis-25716	322	12	.	.	PUNCT