id	sid	tid	token	lemma	pos
ajst-20217	1	1	academic	academic	ADJ
ajst-20217	1	2	journal	journal	NOUN
ajst-20217	1	3	of	of	ADP
ajst-20217	1	4	science	science	NOUN
ajst-20217	1	5	and	and	CCONJ
ajst-20217	1	6	technology	technology	NOUN
ajst-20217	1	7	issn	issn	NOUN
ajst-20217	1	8	:	:	PUNCT
ajst-20217	1	9	2771	2771	NUM
ajst-20217	1	10	-	-	SYM
ajst-20217	1	11	3032	3032	NUM
ajst-20217	1	12	|	|	NOUN
ajst-20217	1	13	vol	vol	NOUN
ajst-20217	1	14	.	.	PROPN
ajst-20217	2	1	10	10	NUM
ajst-20217	2	2	,	,	PUNCT
ajst-20217	2	3	no	no	INTJ
ajst-20217	2	4	.	.	NOUN
ajst-20217	2	5	2	2	NUM
ajst-20217	2	6	,	,	PUNCT
ajst-20217	2	7	2024	2024	NUM
ajst-20217	2	8	191	191	NUM
ajst-20217	2	9	csa‐net	csa‐net	NOUN
ajst-20217	2	10	:	:	PUNCT
ajst-20217	2	11	a	a	DET
ajst-20217	2	12	transformer‐based	transformer‐base	VERB
ajst-20217	2	13	polyp	polyp	NOUN
ajst-20217	2	14	segmentation	segmentation	NOUN
ajst-20217	2	15	network	network	NOUN
ajst-20217	2	16	chunkai	chunkai	PROPN
ajst-20217	2	17	qi1	qi1	PROPN
ajst-20217	2	18	,	,	PUNCT
ajst-20217	2	19	jian	jian	PROPN
ajst-20217	2	20	di1	di1	PROPN
ajst-20217	2	21	,	,	PUNCT
ajst-20217	2	22	2	2	NUM
ajst-20217	2	23	,	,	PUNCT
ajst-20217	2	24	*	*	PUNCT
ajst-20217	2	25	1	1	NUM
ajst-20217	2	26	school	school	NOUN
ajst-20217	2	27	of	of	ADP
ajst-20217	2	28	control	control	NOUN
ajst-20217	2	29	and	and	CCONJ
ajst-20217	2	30	computer	computer	NOUN
ajst-20217	2	31	engineering	engineering	NOUN
ajst-20217	2	32	,	,	PUNCT
ajst-20217	2	33	north	north	PROPN
ajst-20217	2	34	china	china	PROPN
ajst-20217	2	35	electric	electric	PROPN
ajst-20217	2	36	power	power	PROPN
ajst-20217	2	37	university	university	PROPN
ajst-20217	2	38	,	,	PUNCT
ajst-20217	2	39	baoding	baoding	PROPN
ajst-20217	2	40	,	,	PUNCT
ajst-20217	2	41	china	china	PROPN
ajst-20217	2	42	2	2	NUM
ajst-20217	2	43	engineering	engineering	NOUN
ajst-20217	2	44	research	research	NOUN
ajst-20217	2	45	center	center	NOUN
ajst-20217	2	46	of	of	ADP
ajst-20217	2	47	intelligent	intelligent	ADJ
ajst-20217	2	48	computing	computing	NOUN
ajst-20217	2	49	for	for	ADP
ajst-20217	2	50	complex	complex	ADJ
ajst-20217	2	51	energy	energy	NOUN
ajst-20217	2	52	systems	system	NOUN
ajst-20217	2	53	,	,	PUNCT
ajst-20217	2	54	ministry	ministry	NOUN
ajst-20217	2	55	of	of	ADP
ajst-20217	2	56	education	education	PROPN
ajst-20217	2	57	,	,	PUNCT
ajst-20217	2	58	baoding	baoding	PROPN
ajst-20217	2	59	,	,	PUNCT
ajst-20217	2	60	china	china	PROPN
ajst-20217	2	61	*	*	PUNCT
ajst-20217	2	62	corresponding	correspond	VERB
ajst-20217	2	63	author	author	NOUN
ajst-20217	2	64	email	email	NOUN
ajst-20217	2	65	:	:	PUNCT
ajst-20217	2	66	dijian6880@163.com	dijian6880@163.com	X
ajst-20217	2	67	abstract	abstract	NOUN
ajst-20217	2	68	:	:	PUNCT
ajst-20217	2	69	it	it	PRON
ajst-20217	2	70	is	be	AUX
ajst-20217	2	71	well	well	ADV
ajst-20217	2	72	known	know	VERB
ajst-20217	2	73	that	that	SCONJ
ajst-20217	2	74	colorectal	colorectal	ADJ
ajst-20217	2	75	polyps	polyp	NOUN
ajst-20217	2	76	are	be	AUX
ajst-20217	2	77	a	a	DET
ajst-20217	2	78	precursor	precursor	NOUN
ajst-20217	2	79	to	to	ADP
ajst-20217	2	80	colorectal	colorectal	ADJ
ajst-20217	2	81	cancer	cancer	NOUN
ajst-20217	2	82	.	.	PUNCT
ajst-20217	3	1	accurate	accurate	ADJ
ajst-20217	3	2	segmentation	segmentation	NOUN
ajst-20217	3	3	of	of	ADP
ajst-20217	3	4	polyp	polyp	NOUN
ajst-20217	3	5	images	image	NOUN
ajst-20217	3	6	from	from	ADP
ajst-20217	3	7	colonoscopy	colonoscopy	NOUN
ajst-20217	3	8	can	can	AUX
ajst-20217	3	9	assist	assist	VERB
ajst-20217	3	10	clinicians	clinician	NOUN
ajst-20217	3	11	in	in	ADP
ajst-20217	3	12	localizing	localize	VERB
ajst-20217	3	13	polyp	polyp	NOUN
ajst-20217	3	14	regions	region	NOUN
ajst-20217	3	15	and	and	CCONJ
ajst-20217	3	16	reduce	reduce	VERB
ajst-20217	3	17	the	the	DET
ajst-20217	3	18	occurrence	occurrence	NOUN
ajst-20217	3	19	of	of	ADP
ajst-20217	3	20	misdiagnosis	misdiagnosis	NOUN
ajst-20217	3	21	accurately	accurately	ADV
ajst-20217	3	22	.	.	PUNCT
ajst-20217	4	1	many	many	ADJ
ajst-20217	4	2	existing	exist	VERB
ajst-20217	4	3	methods	method	NOUN
ajst-20217	4	4	achieve	achieve	VERB
ajst-20217	4	5	good	good	ADJ
ajst-20217	4	6	results	result	NOUN
ajst-20217	4	7	in	in	ADP
ajst-20217	4	8	the	the	DET
ajst-20217	4	9	polyp	polyp	NOUN
ajst-20217	4	10	segmentation	segmentation	NOUN
ajst-20217	4	11	task	task	NOUN
ajst-20217	4	12	,	,	PUNCT
ajst-20217	4	13	but	but	CCONJ
ajst-20217	4	14	their	their	PRON
ajst-20217	4	15	extraction	extraction	NOUN
ajst-20217	4	16	of	of	ADP
ajst-20217	4	17	global	global	ADJ
ajst-20217	4	18	and	and	CCONJ
ajst-20217	4	19	local	local	ADJ
ajst-20217	4	20	features	feature	NOUN
ajst-20217	4	21	is	be	AUX
ajst-20217	4	22	often	often	ADV
ajst-20217	4	23	insufficient	insufficient	ADJ
ajst-20217	4	24	.	.	PUNCT
ajst-20217	5	1	in	in	ADP
ajst-20217	5	2	this	this	DET
ajst-20217	5	3	paper	paper	NOUN
ajst-20217	5	4	,	,	PUNCT
ajst-20217	5	5	we	we	PRON
ajst-20217	5	6	propose	propose	VERB
ajst-20217	5	7	a	a	DET
ajst-20217	5	8	transformer	transformer	NOUN
ajst-20217	5	9	-	-	PUNCT
ajst-20217	5	10	based	base	VERB
ajst-20217	5	11	polyp	polyp	NOUN
ajst-20217	5	12	segmentation	segmentation	NOUN
ajst-20217	5	13	network	network	NOUN
ajst-20217	5	14	(	(	PUNCT
ajst-20217	5	15	csa	csa	PROPN
ajst-20217	5	16	-	-	PUNCT
ajst-20217	5	17	net	net	NOUN
ajst-20217	5	18	)	)	PUNCT
ajst-20217	5	19	that	that	PRON
ajst-20217	5	20	utilizes	utilize	VERB
ajst-20217	5	21	two	two	NUM
ajst-20217	5	22	types	type	NOUN
ajst-20217	5	23	of	of	ADP
ajst-20217	5	24	attention	attention	NOUN
ajst-20217	5	25	modulesspatial	modulesspatial	ADJ
ajst-20217	5	26	attention	attention	NOUN
ajst-20217	5	27	and	and	CCONJ
ajst-20217	5	28	channel	channel	NOUN
ajst-20217	5	29	attention	attention	NOUN
ajst-20217	5	30	-	-	PUNCT
ajst-20217	5	31	to	to	PART
ajst-20217	5	32	further	far	ADV
ajst-20217	5	33	adaptively	adaptively	ADV
ajst-20217	5	34	fuse	fuse	VERB
ajst-20217	5	35	local	local	ADJ
ajst-20217	5	36	features	feature	NOUN
ajst-20217	5	37	with	with	ADP
ajst-20217	5	38	their	their	PRON
ajst-20217	5	39	global	global	ADJ
ajst-20217	5	40	features	feature	NOUN
ajst-20217	5	41	.	.	PUNCT
ajst-20217	6	1	the	the	DET
ajst-20217	6	2	proposed	propose	VERB
ajst-20217	6	3	network	network	NOUN
ajst-20217	6	4	is	be	AUX
ajst-20217	6	5	validated	validate	VERB
ajst-20217	6	6	on	on	ADP
ajst-20217	6	7	five	five	NUM
ajst-20217	6	8	polyp	polyp	NOUN
ajst-20217	6	9	datasets	dataset	NOUN
ajst-20217	6	10	.	.	PUNCT
ajst-20217	7	1	experimental	experimental	ADJ
ajst-20217	7	2	results	result	NOUN
ajst-20217	7	3	show	show	VERB
ajst-20217	7	4	that	that	SCONJ
ajst-20217	7	5	our	our	PRON
ajst-20217	7	6	model	model	NOUN
ajst-20217	7	7	outperforms	outperform	NOUN
ajst-20217	7	8	previously	previously	ADV
ajst-20217	7	9	proposed	propose	VERB
ajst-20217	7	10	models	model	NOUN
ajst-20217	7	11	.	.	PUNCT
ajst-20217	8	1	keywords	keyword	NOUN
ajst-20217	8	2	:	:	PUNCT
ajst-20217	8	3	deep	deep	ADJ
ajst-20217	8	4	learning	learning	NOUN
ajst-20217	8	5	,	,	PUNCT
ajst-20217	8	6	polyp	polyp	NOUN
ajst-20217	8	7	segmentation	segmentation	NOUN
ajst-20217	8	8	,	,	PUNCT
ajst-20217	8	9	transformer	transformer	NOUN
ajst-20217	8	10	.	.	PUNCT
ajst-20217	9	1	1	1	X
ajst-20217	9	2	.	.	X
ajst-20217	9	3	introduction	introduction	NOUN
ajst-20217	9	4	colorectal	colorectal	ADJ
ajst-20217	9	5	cancer	cancer	NOUN
ajst-20217	9	6	(	(	PUNCT
ajst-20217	9	7	crc	crc	NOUN
ajst-20217	9	8	)	)	PUNCT
ajst-20217	9	9	,	,	PUNCT
ajst-20217	9	10	the	the	DET
ajst-20217	9	11	third	third	ADJ
ajst-20217	9	12	most	most	ADV
ajst-20217	9	13	common	common	ADJ
ajst-20217	9	14	tumor	tumor	NOUN
ajst-20217	9	15	among	among	ADP
ajst-20217	9	16	men	man	NOUN
ajst-20217	9	17	and	and	CCONJ
ajst-20217	9	18	women	woman	NOUN
ajst-20217	9	19	in	in	ADP
ajst-20217	9	20	the	the	DET
ajst-20217	9	21	u.s	u.s	PROPN
ajst-20217	9	22	.	.	PROPN
ajst-20217	9	23	,	,	PUNCT
ajst-20217	9	24	has	have	AUX
ajst-20217	9	25	led	lead	VERB
ajst-20217	9	26	to	to	ADP
ajst-20217	9	27	the	the	DET
ajst-20217	9	28	use	use	NOUN
ajst-20217	9	29	of	of	ADP
ajst-20217	9	30	endoscopic	endoscopic	ADJ
ajst-20217	9	31	image	image	NOUN
ajst-20217	9	32	-	-	PUNCT
ajst-20217	9	33	based	base	VERB
ajst-20217	9	34	polyp	polyp	NOUN
ajst-20217	9	35	segmentation	segmentation	NOUN
ajst-20217	9	36	technology	technology	NOUN
ajst-20217	9	37	,	,	PUNCT
ajst-20217	9	38	which	which	PRON
ajst-20217	9	39	helps	help	VERB
ajst-20217	9	40	physicians	physician	NOUN
ajst-20217	9	41	detect	detect	VERB
ajst-20217	9	42	early	early	ADJ
ajst-20217	9	43	pre	pre	ADJ
ajst-20217	9	44	-	-	ADJ
ajst-20217	9	45	cancerous	cancerous	ADJ
ajst-20217	9	46	lesions	lesion	NOUN
ajst-20217	9	47	,	,	PUNCT
ajst-20217	9	48	known	know	VERB
ajst-20217	9	49	as	as	ADP
ajst-20217	9	50	polyps	polyp	NOUN
ajst-20217	9	51	,	,	PUNCT
ajst-20217	9	52	in	in	ADP
ajst-20217	9	53	the	the	DET
ajst-20217	9	54	intestines	intestine	NOUN
ajst-20217	9	55	.	.	PUNCT
ajst-20217	10	1	this	this	DET
ajst-20217	10	2	technology	technology	NOUN
ajst-20217	10	3	can	can	AUX
ajst-20217	10	4	accurately	accurately	ADV
ajst-20217	10	5	identify	identify	VERB
ajst-20217	10	6	individuals	individual	NOUN
ajst-20217	10	7	with	with	ADP
ajst-20217	10	8	risky	risky	ADJ
ajst-20217	10	9	diseases	disease	NOUN
ajst-20217	10	10	,	,	PUNCT
ajst-20217	10	11	and	and	CCONJ
ajst-20217	10	12	by	by	ADP
ajst-20217	10	13	detecting	detect	VERB
ajst-20217	10	14	polyps	polyp	NOUN
ajst-20217	10	15	and	and	CCONJ
ajst-20217	10	16	abnormal	abnormal	ADJ
ajst-20217	10	17	cellular	cellular	ADJ
ajst-20217	10	18	tissue	tissue	NOUN
ajst-20217	10	19	growth	growth	NOUN
ajst-20217	10	20	,	,	PUNCT
ajst-20217	10	21	it	it	PRON
ajst-20217	10	22	not	not	PART
ajst-20217	10	23	only	only	ADV
ajst-20217	10	24	improves	improve	VERB
ajst-20217	10	25	the	the	DET
ajst-20217	10	26	cure	cure	NOUN
ajst-20217	10	27	rate	rate	NOUN
ajst-20217	10	28	and	and	CCONJ
ajst-20217	10	29	survival	survival	NOUN
ajst-20217	10	30	rate	rate	NOUN
ajst-20217	10	31	of	of	ADP
ajst-20217	10	32	patients	patient	NOUN
ajst-20217	10	33	but	but	CCONJ
ajst-20217	10	34	also	also	ADV
ajst-20217	10	35	reduces	reduce	VERB
ajst-20217	10	36	the	the	DET
ajst-20217	10	37	suffering	suffering	NOUN
ajst-20217	10	38	of	of	ADP
ajst-20217	10	39	patients	patient	NOUN
ajst-20217	10	40	and	and	CCONJ
ajst-20217	10	41	the	the	DET
ajst-20217	10	42	cost	cost	NOUN
ajst-20217	10	43	required	require	VERB
ajst-20217	10	44	for	for	ADP
ajst-20217	10	45	treatment	treatment	NOUN
ajst-20217	10	46	and	and	CCONJ
ajst-20217	10	47	simplifies	simplify	VERB
ajst-20217	10	48	the	the	DET
ajst-20217	10	49	treatment	treatment	NOUN
ajst-20217	10	50	process	process	NOUN
ajst-20217	10	51	.	.	PUNCT
ajst-20217	11	1	in	in	ADP
ajst-20217	11	2	addition	addition	NOUN
ajst-20217	11	3	,	,	PUNCT
ajst-20217	11	4	accurate	accurate	ADJ
ajst-20217	11	5	segmentation	segmentation	NOUN
ajst-20217	11	6	of	of	ADP
ajst-20217	11	7	polyps	polyp	NOUN
ajst-20217	11	8	in	in	ADP
ajst-20217	11	9	colorectal	colorectal	ADJ
ajst-20217	11	10	endoscopic	endoscopic	ADJ
ajst-20217	11	11	images	image	NOUN
ajst-20217	11	12	can	can	AUX
ajst-20217	11	13	provide	provide	VERB
ajst-20217	11	14	physicians	physician	NOUN
ajst-20217	11	15	with	with	ADP
ajst-20217	11	16	more	more	ADJ
ajst-20217	11	17	quantitative	quantitative	ADJ
ajst-20217	11	18	information	information	NOUN
ajst-20217	11	19	,	,	PUNCT
ajst-20217	11	20	such	such	ADJ
ajst-20217	11	21	as	as	ADP
ajst-20217	11	22	size	size	NOUN
ajst-20217	11	23	,	,	PUNCT
ajst-20217	11	24	shape	shape	NOUN
ajst-20217	11	25	,	,	PUNCT
ajst-20217	11	26	and	and	CCONJ
ajst-20217	11	27	location	location	NOUN
ajst-20217	11	28	,	,	PUNCT
ajst-20217	11	29	which	which	PRON
ajst-20217	11	30	can	can	AUX
ajst-20217	11	31	help	help	VERB
ajst-20217	11	32	them	they	PRON
ajst-20217	11	33	more	more	ADV
ajst-20217	11	34	accurately	accurately	ADV
ajst-20217	11	35	assess	assess	VERB
ajst-20217	11	36	the	the	DET
ajst-20217	11	37	condition	condition	NOUN
ajst-20217	11	38	and	and	CCONJ
ajst-20217	11	39	tailor	tailor	NOUN
ajst-20217	11	40	a	a	DET
ajst-20217	11	41	treatment	treatment	NOUN
ajst-20217	11	42	plan	plan	NOUN
ajst-20217	11	43	that	that	PRON
ajst-20217	11	44	is	be	AUX
ajst-20217	11	45	more	more	ADV
ajst-20217	11	46	appropriate	appropriate	ADJ
ajst-20217	11	47	to	to	ADP
ajst-20217	11	48	the	the	DET
ajst-20217	11	49	patient	patient	NOUN
ajst-20217	11	50	's	's	PART
ajst-20217	11	51	situation	situation	NOUN
ajst-20217	11	52	.	.	PUNCT
ajst-20217	12	1	organization	organization	NOUN
ajst-20217	12	2	of	of	ADP
ajst-20217	12	3	the	the	DET
ajst-20217	12	4	text	text	NOUN
ajst-20217	12	5	.	.	PUNCT
ajst-20217	13	1	with	with	ADP
ajst-20217	13	2	the	the	DET
ajst-20217	13	3	rise	rise	NOUN
ajst-20217	13	4	of	of	ADP
ajst-20217	13	5	deep	deep	ADJ
ajst-20217	13	6	learning	learning	NOUN
ajst-20217	13	7	technology	technology	NOUN
ajst-20217	13	8	,	,	PUNCT
ajst-20217	13	9	many	many	ADJ
ajst-20217	13	10	computer	computer	NOUN
ajst-20217	13	11	vision	vision	NOUN
ajst-20217	13	12	tasks	task	NOUN
ajst-20217	13	13	,	,	PUNCT
ajst-20217	13	14	including	include	VERB
ajst-20217	13	15	medical	medical	ADJ
ajst-20217	13	16	image	image	NOUN
ajst-20217	13	17	segmentation	segmentation	NOUN
ajst-20217	13	18	,	,	PUNCT
ajst-20217	13	19	are	be	AUX
ajst-20217	13	20	gradually	gradually	ADV
ajst-20217	13	21	stepping	step	VERB
ajst-20217	13	22	into	into	ADP
ajst-20217	13	23	the	the	DET
ajst-20217	13	24	deep	deep	ADJ
ajst-20217	13	25	learning	learning	NOUN
ajst-20217	13	26	era	era	NOUN
ajst-20217	13	27	.	.	PUNCT
ajst-20217	14	1	however	however	ADV
ajst-20217	14	2	,	,	PUNCT
ajst-20217	14	3	compared	compare	VERB
ajst-20217	14	4	with	with	ADP
ajst-20217	14	5	natural	natural	ADJ
ajst-20217	14	6	image	image	NOUN
ajst-20217	14	7	segmentation	segmentation	NOUN
ajst-20217	14	8	,	,	PUNCT
ajst-20217	14	9	medical	medical	ADJ
ajst-20217	14	10	image	image	NOUN
ajst-20217	14	11	segmentation	segmentation	NOUN
ajst-20217	14	12	faces	face	VERB
ajst-20217	14	13	unique	unique	ADJ
ajst-20217	14	14	challenges	challenge	NOUN
ajst-20217	14	15	,	,	PUNCT
ajst-20217	14	16	such	such	ADJ
ajst-20217	14	17	as	as	ADP
ajst-20217	14	18	high	high	ADJ
ajst-20217	14	19	noise	noise	NOUN
ajst-20217	14	20	,	,	PUNCT
ajst-20217	14	21	large	large	ADJ
ajst-20217	14	22	scale	scale	NOUN
ajst-20217	14	23	span	span	NOUN
ajst-20217	14	24	,	,	PUNCT
ajst-20217	14	25	uneven	uneven	ADJ
ajst-20217	14	26	illumination	illumination	NOUN
ajst-20217	14	27	,	,	PUNCT
ajst-20217	14	28	low	low	ADJ
ajst-20217	14	29	contrast	contrast	NOUN
ajst-20217	14	30	,	,	PUNCT
ajst-20217	14	31	etc	etc	X
ajst-20217	14	32	.	.	X
ajst-20217	15	1	these	these	DET
ajst-20217	15	2	characteristics	characteristic	NOUN
ajst-20217	15	3	make	make	VERB
ajst-20217	15	4	accurate	accurate	ADJ
ajst-20217	15	5	segmentation	segmentation	NOUN
ajst-20217	15	6	of	of	ADP
ajst-20217	15	7	medical	medical	ADJ
ajst-20217	15	8	images	image	NOUN
ajst-20217	15	9	more	more	ADV
ajst-20217	15	10	difficult	difficult	ADJ
ajst-20217	15	11	,	,	PUNCT
ajst-20217	15	12	which	which	PRON
ajst-20217	15	13	is	be	AUX
ajst-20217	15	14	especially	especially	ADV
ajst-20217	15	15	obvious	obvious	ADJ
ajst-20217	15	16	for	for	ADP
ajst-20217	15	17	the	the	DET
ajst-20217	15	18	task	task	NOUN
ajst-20217	15	19	of	of	ADP
ajst-20217	15	20	endoscopic	endoscopic	ADJ
ajst-20217	15	21	polyp	polyp	NOUN
ajst-20217	15	22	segmentation	segmentation	NOUN
ajst-20217	15	23	.	.	PUNCT
ajst-20217	16	1	currently	currently	ADV
ajst-20217	16	2	,	,	PUNCT
ajst-20217	16	3	u	u	NOUN
ajst-20217	16	4	-	-	NOUN
ajst-20217	16	5	net	net	ADJ
ajst-20217	16	6	[	[	X
ajst-20217	16	7	1	1	NUM
ajst-20217	16	8	]	]	PUNCT
ajst-20217	16	9	shows	show	VERB
ajst-20217	16	10	good	good	ADJ
ajst-20217	16	11	applicability	applicability	NOUN
ajst-20217	16	12	in	in	ADP
ajst-20217	16	13	the	the	DET
ajst-20217	16	14	semantic	semantic	ADJ
ajst-20217	16	15	segmentation	segmentation	NOUN
ajst-20217	16	16	of	of	ADP
ajst-20217	16	17	medical	medical	ADJ
ajst-20217	16	18	images	image	NOUN
ajst-20217	16	19	,	,	PUNCT
ajst-20217	16	20	and	and	CCONJ
ajst-20217	16	21	numerous	numerous	ADJ
ajst-20217	16	22	deep	deep	ADJ
ajst-20217	16	23	learning	learning	NOUN
ajst-20217	16	24	methods	method	NOUN
ajst-20217	16	25	based	base	VERB
ajst-20217	16	26	on	on	ADP
ajst-20217	16	27	u	u	NOUN
ajst-20217	16	28	-	-	NOUN
ajst-20217	16	29	net	net	ADJ
ajst-20217	16	30	have	have	AUX
ajst-20217	16	31	been	be	AUX
ajst-20217	16	32	widely	widely	ADV
ajst-20217	16	33	applied	apply	VERB
ajst-20217	16	34	to	to	ADP
ajst-20217	16	35	medical	medical	ADJ
ajst-20217	16	36	image	image	NOUN
ajst-20217	16	37	segmentation	segmentation	NOUN
ajst-20217	16	38	tasks	task	NOUN
ajst-20217	16	39	.	.	PUNCT
ajst-20217	17	1	these	these	DET
ajst-20217	17	2	network	network	NOUN
ajst-20217	17	3	architectures	architecture	NOUN
ajst-20217	17	4	all	all	PRON
ajst-20217	17	5	adopt	adopt	VERB
ajst-20217	17	6	a	a	DET
ajst-20217	17	7	similar	similar	ADJ
ajst-20217	17	8	encoder	encoder	NOUN
ajst-20217	17	9	-	-	PUNCT
ajst-20217	17	10	decoder	decoder	NOUN
ajst-20217	17	11	model	model	NOUN
ajst-20217	17	12	,	,	PUNCT
ajst-20217	17	13	where	where	SCONJ
ajst-20217	17	14	the	the	DET
ajst-20217	17	15	encoder	encoder	NOUN
ajst-20217	17	16	consists	consist	VERB
ajst-20217	17	17	of	of	ADP
ajst-20217	17	18	multiple	multiple	ADJ
ajst-20217	17	19	convolutional	convolutional	ADJ
ajst-20217	17	20	and	and	CCONJ
ajst-20217	17	21	pooling	pool	VERB
ajst-20217	17	22	layers	layer	NOUN
ajst-20217	17	23	to	to	PART
ajst-20217	17	24	gradually	gradually	ADV
ajst-20217	17	25	expand	expand	VERB
ajst-20217	17	26	the	the	DET
ajst-20217	17	27	perceptual	perceptual	ADJ
ajst-20217	17	28	range	range	NOUN
ajst-20217	17	29	of	of	ADP
ajst-20217	17	30	the	the	DET
ajst-20217	17	31	network	network	NOUN
ajst-20217	17	32	and	and	CCONJ
ajst-20217	17	33	extract	extract	VERB
ajst-20217	17	34	high	high	ADJ
ajst-20217	17	35	-	-	PUNCT
ajst-20217	17	36	level	level	NOUN
ajst-20217	17	37	semantic	semantic	ADJ
ajst-20217	17	38	information	information	NOUN
ajst-20217	17	39	.	.	PUNCT
ajst-20217	18	1	the	the	DET
ajst-20217	18	2	decoder	decoder	NOUN
ajst-20217	18	3	,	,	PUNCT
ajst-20217	18	4	on	on	ADP
ajst-20217	18	5	the	the	DET
ajst-20217	18	6	other	other	ADJ
ajst-20217	18	7	hand	hand	NOUN
ajst-20217	18	8	,	,	PUNCT
ajst-20217	18	9	is	be	AUX
ajst-20217	18	10	responsible	responsible	ADJ
ajst-20217	18	11	for	for	ADP
ajst-20217	18	12	generating	generate	VERB
ajst-20217	18	13	the	the	DET
ajst-20217	18	14	segmentation	segmentation	NOUN
ajst-20217	18	15	results	result	NOUN
ajst-20217	18	16	.	.	PUNCT
ajst-20217	19	1	although	although	SCONJ
ajst-20217	19	2	these	these	DET
ajst-20217	19	3	networks	network	NOUN
ajst-20217	19	4	have	have	AUX
ajst-20217	19	5	made	make	VERB
ajst-20217	19	6	significant	significant	ADJ
ajst-20217	19	7	progress	progress	NOUN
ajst-20217	19	8	in	in	ADP
ajst-20217	19	9	terms	term	NOUN
ajst-20217	19	10	of	of	ADP
ajst-20217	19	11	performance	performance	NOUN
ajst-20217	19	12	,	,	PUNCT
ajst-20217	19	13	their	their	PRON
ajst-20217	19	14	architectures	architecture	NOUN
ajst-20217	19	15	still	still	ADV
ajst-20217	19	16	have	have	VERB
ajst-20217	19	17	some	some	DET
ajst-20217	19	18	potential	potential	ADJ
ajst-20217	19	19	shortcomings	shortcoming	NOUN
ajst-20217	19	20	that	that	PRON
ajst-20217	19	21	warrant	warrant	VERB
ajst-20217	19	22	further	further	ADJ
ajst-20217	19	23	investigation	investigation	NOUN
ajst-20217	19	24	.	.	PUNCT
ajst-20217	20	1	one	one	NUM
ajst-20217	20	2	of	of	ADP
ajst-20217	20	3	the	the	DET
ajst-20217	20	4	obvious	obvious	ADJ
ajst-20217	20	5	problems	problem	NOUN
ajst-20217	20	6	is	be	AUX
ajst-20217	20	7	that	that	SCONJ
ajst-20217	20	8	the	the	DET
ajst-20217	20	9	remote	remote	ADJ
ajst-20217	20	10	dependency	dependency	NOUN
ajst-20217	20	11	between	between	ADP
ajst-20217	20	12	learned	learn	VERB
ajst-20217	20	13	pixels	pixel	NOUN
ajst-20217	20	14	still	still	ADV
ajst-20217	20	15	needs	need	VERB
ajst-20217	20	16	to	to	PART
ajst-20217	20	17	be	be	AUX
ajst-20217	20	18	improved	improve	VERB
ajst-20217	20	19	to	to	ADP
ajst-20217	20	20	some	some	DET
ajst-20217	20	21	extent	extent	NOUN
ajst-20217	20	22	[	[	X
ajst-20217	20	23	2	2	NUM
ajst-20217	20	24	]	]	PUNCT
ajst-20217	20	25	.	.	PUNCT
ajst-20217	21	1	to	to	PART
ajst-20217	21	2	address	address	VERB
ajst-20217	21	3	this	this	DET
ajst-20217	21	4	limitation	limitation	NOUN
ajst-20217	21	5	,	,	PUNCT
ajst-20217	21	6	some	some	DET
ajst-20217	21	7	studies	study	NOUN
ajst-20217	21	8	[	[	X
ajst-20217	21	9	3	3	X
ajst-20217	21	10	]	]	PUNCT
ajst-20217	21	11	introduced	introduce	VERB
ajst-20217	21	12	an	an	DET
ajst-20217	21	13	attention	attention	NOUN
ajst-20217	21	14	mechanism	mechanism	NOUN
ajst-20217	21	15	into	into	ADP
ajst-20217	21	16	the	the	DET
ajst-20217	21	17	model	model	NOUN
ajst-20217	21	18	for	for	ADP
ajst-20217	21	19	augmenting	augment	VERB
ajst-20217	21	20	the	the	DET
ajst-20217	21	21	feature	feature	NOUN
ajst-20217	21	22	map	map	NOUN
ajst-20217	21	23	for	for	ADP
ajst-20217	21	24	better	well	ADJ
ajst-20217	21	25	pixel	pixel	ADJ
ajst-20217	21	26	-	-	PUNCT
ajst-20217	21	27	level	level	NOUN
ajst-20217	21	28	classification	classification	NOUN
ajst-20217	21	29	of	of	ADP
ajst-20217	21	30	medical	medical	ADJ
ajst-20217	21	31	images	image	NOUN
ajst-20217	21	32	.	.	PUNCT
ajst-20217	22	1	pranet	pranet	NOUN
ajst-20217	23	1	[	[	X
ajst-20217	23	2	4	4	NUM
ajst-20217	23	3	]	]	PUNCT
ajst-20217	23	4	,	,	PUNCT
ajst-20217	23	5	a	a	DET
ajst-20217	23	6	classic	classic	ADJ
ajst-20217	23	7	method	method	NOUN
ajst-20217	23	8	in	in	ADP
ajst-20217	23	9	the	the	DET
ajst-20217	23	10	field	field	NOUN
ajst-20217	23	11	of	of	ADP
ajst-20217	23	12	polyp	polyp	NOUN
ajst-20217	23	13	segmentation	segmentation	NOUN
ajst-20217	23	14	,	,	PUNCT
ajst-20217	23	15	introduced	introduce	VERB
ajst-20217	23	16	salient	salient	NOUN
ajst-20217	23	17	target	target	NOUN
ajst-20217	23	18	detection	detection	NOUN
ajst-20217	23	19	into	into	ADP
ajst-20217	23	20	polyp	polyp	NOUN
ajst-20217	23	21	segmentation	segmentation	NOUN
ajst-20217	23	22	,	,	PUNCT
ajst-20217	23	23	demonstrating	demonstrate	VERB
ajst-20217	23	24	excellent	excellent	ADJ
ajst-20217	23	25	learning	learning	NOUN
ajst-20217	23	26	results	result	NOUN
ajst-20217	23	27	and	and	CCONJ
ajst-20217	23	28	strong	strong	ADJ
ajst-20217	23	29	generalization	generalization	NOUN
ajst-20217	23	30	capabilities	capability	NOUN
ajst-20217	23	31	.	.	PUNCT
ajst-20217	24	1	although	although	SCONJ
ajst-20217	24	2	these	these	DET
ajst-20217	24	3	attention	attention	NOUN
ajst-20217	24	4	-	-	PUNCT
ajst-20217	24	5	based	base	VERB
ajst-20217	24	6	methods	method	NOUN
ajst-20217	24	7	can	can	AUX
ajst-20217	24	8	improve	improve	VERB
ajst-20217	24	9	performance	performance	NOUN
ajst-20217	24	10	,	,	PUNCT
ajst-20217	24	11	they	they	PRON
ajst-20217	24	12	still	still	ADV
ajst-20217	24	13	suffer	suffer	VERB
ajst-20217	24	14	from	from	ADP
ajst-20217	24	15	the	the	DET
ajst-20217	24	16	shortcomings	shortcoming	NOUN
ajst-20217	24	17	of	of	ADP
ajst-20217	24	18	remote	remote	ADJ
ajst-20217	24	19	dependencies	dependency	NOUN
ajst-20217	24	20	.	.	PUNCT
ajst-20217	25	1	recent	recent	ADJ
ajst-20217	25	2	advances	advance	NOUN
ajst-20217	25	3	in	in	ADP
ajst-20217	25	4	visual	visual	ADJ
ajst-20217	25	5	transformers	transformer	NOUN
ajst-20217	25	6	[	[	X
ajst-20217	25	7	5	5	X
ajst-20217	25	8	]	]	PUNCT
ajst-20217	25	9	have	have	AUX
ajst-20217	25	10	overcome	overcome	VERB
ajst-20217	25	11	the	the	DET
ajst-20217	25	12	limitations	limitation	NOUN
ajst-20217	25	13	mentioned	mention	VERB
ajst-20217	25	14	above	above	ADV
ajst-20217	25	15	in	in	ADP
ajst-20217	25	16	capturing	capture	VERB
ajst-20217	25	17	remote	remote	ADJ
ajst-20217	25	18	dependencies	dependency	NOUN
ajst-20217	25	19	,	,	PUNCT
ajst-20217	25	20	especially	especially	ADV
ajst-20217	25	21	in	in	ADP
ajst-20217	25	22	medical	medical	ADJ
ajst-20217	25	23	image	image	NOUN
ajst-20217	25	24	segmentation	segmentation	NOUN
ajst-20217	25	25	[	[	X
ajst-20217	25	26	2	2	X
ajst-20217	25	27	]	]	X
ajst-20217	25	28	[	[	X
ajst-20217	25	29	6	6	NUM
ajst-20217	25	30	]	]	PUNCT
ajst-20217	25	31	.	.	PUNCT
ajst-20217	26	1	however	however	ADV
ajst-20217	26	2	,	,	PUNCT
ajst-20217	26	3	the	the	DET
ajst-20217	26	4	self	self	NOUN
ajst-20217	26	5	-	-	PUNCT
ajst-20217	26	6	attentive	attentive	ADJ
ajst-20217	26	7	mechanism	mechanism	NOUN
ajst-20217	26	8	used	use	VERB
ajst-20217	26	9	in	in	ADP
ajst-20217	26	10	the	the	DET
ajst-20217	26	11	transformer	transformer	NOUN
ajst-20217	26	12	model	model	NOUN
ajst-20217	26	13	suffers	suffer	VERB
ajst-20217	26	14	from	from	ADP
ajst-20217	26	15	a	a	DET
ajst-20217	26	16	limited	limited	ADJ
ajst-20217	26	17	ability	ability	NOUN
ajst-20217	26	18	to	to	PART
ajst-20217	26	19	learn	learn	VERB
ajst-20217	26	20	local	local	ADJ
ajst-20217	26	21	(	(	PUNCT
ajst-20217	26	22	contextual	contextual	ADJ
ajst-20217	26	23	)	)	PUNCT
ajst-20217	26	24	relationships	relationship	NOUN
ajst-20217	26	25	[	[	X
ajst-20217	26	26	7	7	NUM
ajst-20217	26	27	]	]	PUNCT
ajst-20217	26	28	.	.	PUNCT
ajst-20217	27	1	in	in	ADP
ajst-20217	27	2	view	view	NOUN
ajst-20217	27	3	of	of	ADP
ajst-20217	27	4	the	the	DET
ajst-20217	27	5	above	above	ADJ
ajst-20217	27	6	,	,	PUNCT
ajst-20217	27	7	this	this	DET
ajst-20217	27	8	paper	paper	NOUN
ajst-20217	27	9	proposes	propose	VERB
ajst-20217	27	10	a	a	DET
ajst-20217	27	11	transformer	transformer	NOUN
ajst-20217	27	12	-	-	PUNCT
ajst-20217	27	13	based	base	VERB
ajst-20217	27	14	channel	channel	NOUN
ajst-20217	27	15	and	and	CCONJ
ajst-20217	27	16	spatial	spatial	ADJ
ajst-20217	27	17	attention	attention	NOUN
ajst-20217	27	18	network	network	NOUN
ajst-20217	27	19	(	(	PUNCT
ajst-20217	27	20	csa	csa	PROPN
ajst-20217	27	21	-	-	PUNCT
ajst-20217	27	22	net	net	NOUN
ajst-20217	27	23	)	)	PUNCT
ajst-20217	27	24	,	,	PUNCT
ajst-20217	27	25	which	which	PRON
ajst-20217	27	26	uses	use	VERB
ajst-20217	27	27	pvtv2	pvtv2	PROPN
ajst-20217	27	28	as	as	ADP
ajst-20217	27	29	the	the	DET
ajst-20217	27	30	backbone	backbone	NOUN
ajst-20217	27	31	network	network	NOUN
ajst-20217	27	32	and	and	CCONJ
ajst-20217	27	33	designs	design	VERB
ajst-20217	27	34	a	a	DET
ajst-20217	27	35	feature	feature	NOUN
ajst-20217	27	36	extraction	extraction	NOUN
ajst-20217	27	37	module	module	NOUN
ajst-20217	27	38	that	that	PRON
ajst-20217	27	39	parallelizes	parallelize	VERB
ajst-20217	27	40	the	the	DET
ajst-20217	27	41	spatial	spatial	ADJ
ajst-20217	27	42	attention	attention	NOUN
ajst-20217	27	43	module	module	NOUN
ajst-20217	27	44	and	and	CCONJ
ajst-20217	27	45	the	the	DET
ajst-20217	27	46	channel	channel	NOUN
ajst-20217	27	47	attention	attention	NOUN
ajst-20217	27	48	module	module	NOUN
ajst-20217	27	49	,	,	PUNCT
ajst-20217	27	50	thus	thus	ADV
ajst-20217	27	51	effectively	effectively	ADV
ajst-20217	27	52	capturing	capture	VERB
ajst-20217	27	53	global	global	ADJ
ajst-20217	27	54	and	and	CCONJ
ajst-20217	27	55	local	local	ADJ
ajst-20217	27	56	contextual	contextual	ADJ
ajst-20217	27	57	relationships	relationship	NOUN
ajst-20217	27	58	between	between	ADP
ajst-20217	27	59	pixels	pixel	NOUN
ajst-20217	27	60	.	.	PUNCT
ajst-20217	28	1	moreover	moreover	ADV
ajst-20217	28	2	,	,	PUNCT
ajst-20217	28	3	the	the	DET
ajst-20217	28	4	network	network	NOUN
ajst-20217	28	5	has	have	AUX
ajst-20217	28	6	been	be	AUX
ajst-20217	28	7	shown	show	VERB
ajst-20217	28	8	to	to	PART
ajst-20217	28	9	accurately	accurately	ADV
ajst-20217	28	10	segment	segment	VERB
ajst-20217	28	11	polyp	polyp	NOUN
ajst-20217	28	12	locations	location	NOUN
ajst-20217	28	13	on	on	ADP
ajst-20217	28	14	multiple	multiple	ADJ
ajst-20217	28	15	datasets	dataset	NOUN
ajst-20217	28	16	and	and	CCONJ
ajst-20217	28	17	the	the	DET
ajst-20217	28	18	model	model	NOUN
ajst-20217	28	19	has	have	VERB
ajst-20217	28	20	good	good	ADJ
ajst-20217	28	21	generalization	generalization	NOUN
ajst-20217	28	22	.	.	PUNCT
ajst-20217	29	1	the	the	DET
ajst-20217	29	2	innovations	innovation	NOUN
ajst-20217	29	3	of	of	ADP
ajst-20217	29	4	this	this	DET
ajst-20217	29	5	paper	paper	NOUN
ajst-20217	29	6	are	be	AUX
ajst-20217	29	7	as	as	ADP
ajst-20217	29	8	follows:(1	follows:(1	PROPN
ajst-20217	29	9	)	)	PUNCT
ajst-20217	29	10	a	a	DET
ajst-20217	29	11	new	new	ADJ
ajst-20217	29	12	segmentation	segmentation	NOUN
ajst-20217	29	13	method	method	NOUN
ajst-20217	29	14	with	with	ADP
ajst-20217	29	15	a	a	DET
ajst-20217	29	16	self	self	NOUN
ajst-20217	29	17	-	-	PUNCT
ajst-20217	29	18	attentive	attentive	ADJ
ajst-20217	29	19	mechanism	mechanism	NOUN
ajst-20217	29	20	is	be	AUX
ajst-20217	29	21	proposed	propose	VERB
ajst-20217	29	22	;	;	PUNCT
ajst-20217	29	23	(	(	PUNCT
ajst-20217	29	24	2	2	X
ajst-20217	29	25	)	)	PUNCT
ajst-20217	29	26	csa	csa	PROPN
ajst-20217	29	27	-	-	PUNCT
ajst-20217	29	28	net	net	NOUN
ajst-20217	29	29	can	can	AUX
ajst-20217	29	30	efficiently	efficiently	ADV
ajst-20217	29	31	extract	extract	VERB
ajst-20217	29	32	and	and	CCONJ
ajst-20217	29	33	fuse	fuse	NOUN
ajst-20217	29	34	feature	feature	NOUN
ajst-20217	29	35	information	information	NOUN
ajst-20217	29	36	from	from	ADP
ajst-20217	29	37	both	both	CCONJ
ajst-20217	29	38	global	global	ADJ
ajst-20217	29	39	and	and	CCONJ
ajst-20217	29	40	local	local	ADJ
ajst-20217	29	41	contexts	context	NOUN
ajst-20217	29	42	;	;	PUNCT
ajst-20217	29	43	(	(	PUNCT
ajst-20217	29	44	3	3	X
ajst-20217	29	45	)	)	PUNCT
ajst-20217	29	46	t	t	NOUN
ajst-20217	29	47	the	the	DET
ajst-20217	29	48	results	result	NOUN
ajst-20217	29	49	on	on	ADP
ajst-20217	29	50	five	five	NUM
ajst-20217	29	51	polyp	polyp	NOUN
ajst-20217	29	52	datasets	dataset	NOUN
ajst-20217	29	53	demonstrate	demonstrate	VERB
ajst-20217	29	54	state	state	NOUN
ajst-20217	29	55	-	-	PUNCT
ajst-20217	29	56	of	of	ADP
ajst-20217	29	57	-	-	PUNCT
ajst-20217	29	58	the	the	DET
ajst-20217	29	59	-	-	PUNCT
ajst-20217	29	60	art	art	NOUN
ajst-20217	29	61	performance	performance	NOUN
ajst-20217	29	62	.	.	PUNCT
ajst-20217	30	1	2	2	X
ajst-20217	30	2	.	.	X
ajst-20217	30	3	transformer	transformer	NOUN
ajst-20217	30	4	-	-	PUNCT
ajst-20217	30	5	based	base	VERB
ajst-20217	30	6	polyp	polyp	NOUN
ajst-20217	30	7	segmentation	segmentation	NOUN
ajst-20217	30	8	network	network	NOUN
ajst-20217	30	9	our	our	PRON
ajst-20217	30	10	proposed	propose	VERB
ajst-20217	30	11	network	network	NOUN
ajst-20217	30	12	consists	consist	VERB
ajst-20217	30	13	of	of	ADP
ajst-20217	30	14	three	three	NUM
ajst-20217	30	15	stages	stage	NOUN
ajst-20217	30	16	:	:	PUNCT
ajst-20217	30	17	encoder	encoder	NOUN
ajst-20217	30	18	module	module	NOUN
ajst-20217	30	19	,	,	PUNCT
ajst-20217	30	20	decoder	decoder	NOUN
ajst-20217	30	21	module	module	NOUN
ajst-20217	30	22	,	,	PUNCT
ajst-20217	30	23	and	and	CCONJ
ajst-20217	30	24	feature	feature	NOUN
ajst-20217	30	25	extraction	extraction	NOUN
ajst-20217	30	26	module	module	NOUN
ajst-20217	30	27	(	(	PUNCT
ajst-20217	30	28	fem	fem	PROPN
ajst-20217	30	29	)	)	PUNCT
ajst-20217	30	30	,	,	PUNCT
ajst-20217	30	31	as	as	SCONJ
ajst-20217	30	32	shown	show	VERB
ajst-20217	30	33	in	in	ADP
ajst-20217	30	34	fig	fig	NOUN
ajst-20217	30	35	.	.	PUNCT
ajst-20217	31	1	we	we	PRON
ajst-20217	31	2	use	use	VERB
ajst-20217	31	3	a	a	DET
ajst-20217	31	4	pyramid	pyramid	NOUN
ajst-20217	31	5	transformer	transformer	NOUN
ajst-20217	31	6	as	as	ADP
ajst-20217	31	7	the	the	DET
ajst-20217	31	8	feature	feature	NOUN
ajst-20217	31	9	encoder	encoder	NOUN
ajst-20217	31	10	,	,	PUNCT
ajst-20217	31	11	and	and	CCONJ
ajst-20217	31	12	pvtv2	pvtv2	PROPN
ajst-20217	31	13	uses	use	VERB
ajst-20217	31	14	convolutional	convolutional	ADJ
ajst-20217	31	15	operations	operation	NOUN
ajst-20217	31	16	instead	instead	ADV
ajst-20217	31	17	of	of	ADP
ajst-20217	31	18	the	the	DET
ajst-20217	31	19	patch	patch	NOUN
ajst-20217	31	20	embedding	embed	VERB
ajst-20217	31	21	module	module	NOUN
ajst-20217	31	22	of	of	ADP
ajst-20217	31	23	the	the	DET
ajst-20217	31	24	traditional	traditional	ADJ
ajst-20217	31	25	192	192	NUM
ajst-20217	31	26	transformer	transformer	NOUN
ajst-20217	31	27	as	as	ADP
ajst-20217	31	28	a	a	DET
ajst-20217	31	29	way	way	NOUN
ajst-20217	31	30	to	to	PART
ajst-20217	31	31	capture	capture	VERB
ajst-20217	31	32	spatial	spatial	ADJ
ajst-20217	31	33	information	information	NOUN
ajst-20217	31	34	more	more	ADV
ajst-20217	31	35	efficiently	efficiently	ADV
ajst-20217	31	36	.	.	PUNCT
ajst-20217	32	1	the	the	DET
ajst-20217	32	2	features	feature	NOUN
ajst-20217	32	3	from	from	ADP
ajst-20217	32	4	the	the	DET
ajst-20217	32	5	encoder	encoder	NOUN
ajst-20217	32	6	are	be	AUX
ajst-20217	32	7	fed	feed	VERB
ajst-20217	32	8	into	into	ADP
ajst-20217	32	9	the	the	DET
ajst-20217	32	10	fem	fem	NOUN
ajst-20217	32	11	,	,	PUNCT
ajst-20217	32	12	which	which	PRON
ajst-20217	32	13	consists	consist	VERB
ajst-20217	32	14	of	of	ADP
ajst-20217	32	15	two	two	NUM
ajst-20217	32	16	parallel	parallel	ADJ
ajst-20217	32	17	attention	attention	NOUN
ajst-20217	32	18	modules	module	NOUN
ajst-20217	32	19	,	,	PUNCT
ajst-20217	32	20	the	the	DET
ajst-20217	32	21	channel	channel	NOUN
ajst-20217	32	22	attention	attention	NOUN
ajst-20217	32	23	module	module	NOUN
ajst-20217	32	24	(	(	PUNCT
ajst-20217	32	25	cam	cam	NOUN
ajst-20217	32	26	)	)	PUNCT
ajst-20217	32	27	and	and	CCONJ
ajst-20217	32	28	the	the	DET
ajst-20217	32	29	spatial	spatial	ADJ
ajst-20217	32	30	attention	attention	NOUN
ajst-20217	32	31	module	module	NOUN
ajst-20217	32	32	(	(	PUNCT
ajst-20217	32	33	sam	sam	PROPN
ajst-20217	32	34	)	)	PUNCT
ajst-20217	32	35	.	.	PUNCT
ajst-20217	33	1	the	the	DET
ajst-20217	33	2	network	network	NOUN
ajst-20217	33	3	architecture	architecture	NOUN
ajst-20217	33	4	is	be	AUX
ajst-20217	33	5	shown	show	VERB
ajst-20217	33	6	in	in	ADP
ajst-20217	33	7	fig	fig	NOUN
ajst-20217	33	8	.	.	PUNCT
ajst-20217	34	1	1	1	NUM
ajst-20217	34	2	:	:	PUNCT
ajst-20217	34	3	figure	figure	NOUN
ajst-20217	34	4	1	1	NUM
ajst-20217	34	5	.	.	PUNCT
ajst-20217	35	1	diagram	diagram	NOUN
ajst-20217	35	2	of	of	ADP
ajst-20217	35	3	the	the	DET
ajst-20217	35	4	csa	csa	PROPN
ajst-20217	35	5	-	-	PUNCT
ajst-20217	35	6	net	net	ADJ
ajst-20217	35	7	structure	structure	NOUN
ajst-20217	35	8	.	.	PUNCT
ajst-20217	36	1	the	the	DET
ajst-20217	36	2	network	network	NOUN
ajst-20217	36	3	consists	consist	VERB
ajst-20217	36	4	of	of	ADP
ajst-20217	36	5	three	three	NUM
ajst-20217	36	6	stages	stage	NOUN
ajst-20217	36	7	:	:	PUNCT
ajst-20217	36	8	a	a	DET
ajst-20217	36	9	feature	feature	NOUN
ajst-20217	36	10	encoder	encoder	NOUN
ajst-20217	36	11	module	module	NOUN
ajst-20217	36	12	,	,	PUNCT
ajst-20217	36	13	a	a	DET
ajst-20217	36	14	channel	channel	NOUN
ajst-20217	36	15	and	and	CCONJ
ajst-20217	36	16	spatial	spatial	ADJ
ajst-20217	36	17	attention	attention	NOUN
ajst-20217	36	18	module	module	NOUN
ajst-20217	36	19	,	,	PUNCT
ajst-20217	36	20	and	and	CCONJ
ajst-20217	36	21	a	a	DET
ajst-20217	36	22	feature	feature	NOUN
ajst-20217	36	23	decoder	decoder	NOUN
ajst-20217	36	24	module	module	NOUN
ajst-20217	36	25	2.1	2.1	NUM
ajst-20217	36	26	.	.	PUNCT
ajst-20217	37	1	spatial	spatial	ADJ
ajst-20217	37	2	attention	attention	NOUN
ajst-20217	37	3	module	module	NOUN
ajst-20217	37	4	.	.	PUNCT
ajst-20217	38	1	many	many	ADJ
ajst-20217	38	2	recent	recent	ADJ
ajst-20217	38	3	studies	study	NOUN
ajst-20217	38	4	have	have	AUX
ajst-20217	38	5	shown	show	VERB
ajst-20217	38	6	that	that	SCONJ
ajst-20217	38	7	local	local	ADJ
ajst-20217	38	8	feature	feature	NOUN
ajst-20217	38	9	representations	representation	NOUN
ajst-20217	38	10	for	for	ADP
ajst-20217	38	11	traditional	traditional	ADJ
ajst-20217	38	12	fully	fully	ADV
ajst-20217	38	13	convolutional	convolutional	ADJ
ajst-20217	38	14	networks	network	NOUN
ajst-20217	38	15	(	(	PUNCT
ajst-20217	38	16	fcns	fcns	NOUN
ajst-20217	38	17	)	)	PUNCT
ajst-20217	38	18	may	may	AUX
ajst-20217	38	19	lead	lead	VERB
ajst-20217	38	20	to	to	PART
ajst-20217	38	21	object	object	VERB
ajst-20217	38	22	classification	classification	NOUN
ajst-20217	38	23	errors	error	NOUN
ajst-20217	38	24	[	[	X
ajst-20217	38	25	8][9	8][9	NOUN
ajst-20217	38	26	]	]	X
ajst-20217	38	27	.	.	PUNCT
ajst-20217	39	1	in	in	ADP
ajst-20217	39	2	order	order	NOUN
ajst-20217	39	3	to	to	PART
ajst-20217	39	4	establish	establish	VERB
ajst-20217	39	5	rich	rich	ADJ
ajst-20217	39	6	contextual	contextual	ADJ
ajst-20217	39	7	dependencies	dependency	NOUN
ajst-20217	39	8	on	on	ADP
ajst-20217	39	9	local	local	ADJ
ajst-20217	39	10	feature	feature	NOUN
ajst-20217	39	11	representations	representation	NOUN
ajst-20217	39	12	,	,	PUNCT
ajst-20217	39	13	a	a	DET
ajst-20217	39	14	spatial	spatial	ADJ
ajst-20217	39	15	attention	attention	NOUN
ajst-20217	39	16	matrix	matrix	NOUN
ajst-20217	39	17	needs	need	VERB
ajst-20217	39	18	to	to	PART
ajst-20217	39	19	be	be	AUX
ajst-20217	39	20	constructed	construct	VERB
ajst-20217	39	21	to	to	PART
ajst-20217	39	22	model	model	VERB
ajst-20217	39	23	the	the	DET
ajst-20217	39	24	spatial	spatial	ADJ
ajst-20217	39	25	relationship	relationship	NOUN
ajst-20217	39	26	between	between	ADP
ajst-20217	39	27	any	any	DET
ajst-20217	39	28	two	two	NUM
ajst-20217	39	29	-	-	PUNCT
ajst-20217	39	30	pixel	pixel	NOUN
ajst-20217	39	31	points	point	NOUN
ajst-20217	39	32	for	for	ADP
ajst-20217	39	33	the	the	DET
ajst-20217	39	34	spatial	spatial	ADJ
ajst-20217	39	35	relationship	relationship	NOUN
ajst-20217	39	36	between	between	ADP
ajst-20217	39	37	pixel	pixel	PROPN
ajst-20217	39	38	features	feature	VERB
ajst-20217	40	1	[	[	X
ajst-20217	41	1	10][11	10][11	NUM
ajst-20217	41	2	]	]	PUNCT
ajst-20217	41	3	.	.	PUNCT
ajst-20217	42	1	therefore	therefore	ADV
ajst-20217	42	2	,	,	PUNCT
ajst-20217	42	3	we	we	PRON
ajst-20217	42	4	introduce	introduce	VERB
ajst-20217	42	5	sam	sam	PROPN
ajst-20217	42	6	into	into	ADP
ajst-20217	42	7	the	the	DET
ajst-20217	42	8	model	model	NOUN
ajst-20217	42	9	to	to	PART
ajst-20217	42	10	encode	encode	VERB
ajst-20217	42	11	broader	broad	ADJ
ajst-20217	42	12	contextual	contextual	ADJ
ajst-20217	42	13	information	information	NOUN
ajst-20217	42	14	into	into	ADP
ajst-20217	42	15	local	local	ADJ
ajst-20217	42	16	features	feature	NOUN
ajst-20217	42	17	to	to	PART
ajst-20217	42	18	improve	improve	VERB
ajst-20217	42	19	its	its	PRON
ajst-20217	42	20	ability	ability	NOUN
ajst-20217	42	21	to	to	PART
ajst-20217	42	22	extract	extract	VERB
ajst-20217	42	23	global	global	ADJ
ajst-20217	42	24	contextual	contextual	ADJ
ajst-20217	42	25	information	information	NOUN
ajst-20217	42	26	.	.	PUNCT
ajst-20217	43	1	first	first	ADV
ajst-20217	43	2	,	,	PUNCT
ajst-20217	43	3	we	we	PRON
ajst-20217	43	4	use	use	VERB
ajst-20217	43	5	batch	batch	NOUN
ajst-20217	43	6	normalization	normalization	NOUN
ajst-20217	43	7	and	and	CCONJ
ajst-20217	43	8	relu	relu	NOUN
ajst-20217	43	9	layer	layer	NOUN
ajst-20217	43	10	or	or	CCONJ
ajst-20217	43	11	channel	channel	NOUN
ajst-20217	43	12	transformation	transformation	NOUN
ajst-20217	43	13	processing	processing	NOUN
ajst-20217	43	14	to	to	ADP
ajst-20217	43	15	input	input	NOUN
ajst-20217	43	16	features	feature	NOUN
ajst-20217	43	17	c	c	PROPN
ajst-20217	43	18	h	h	NOUN
ajst-20217	43	19	wf	wf	PROPN
ajst-20217	43	20			PROPN
ajst-20217	43	21			PROPN
ajst-20217	43	22	.	.	PUNCT
ajst-20217	44	1	here	here	ADV
ajst-20217	44	2	,	,	PUNCT
ajst-20217	44	3	c	c	PROPN
ajst-20217	44	4	denotes	denote	VERB
ajst-20217	44	5	the	the	DET
ajst-20217	44	6	number	number	NOUN
ajst-20217	44	7	of	of	ADP
ajst-20217	44	8	input	input	NOUN
ajst-20217	44	9	channels	channel	NOUN
ajst-20217	44	10	,	,	PUNCT
ajst-20217	44	11	while	while	SCONJ
ajst-20217	44	12	h	h	PRON
ajst-20217	44	13	and	and	CCONJ
ajst-20217	44	14	w	w	PROPN
ajst-20217	44	15	represent	represent	VERB
ajst-20217	44	16	the	the	DET
ajst-20217	44	17	height	height	NOUN
ajst-20217	44	18	and	and	CCONJ
ajst-20217	44	19	width	width	NOUN
ajst-20217	44	20	of	of	ADP
ajst-20217	44	21	f	f	PROPN
ajst-20217	44	22	,	,	PUNCT
ajst-20217	44	23	respectively	respectively	ADV
ajst-20217	44	24	.	.	PUNCT
ajst-20217	45	1	next	next	ADV
ajst-20217	45	2	,	,	PUNCT
ajst-20217	45	3	we	we	PRON
ajst-20217	45	4	use	use	VERB
ajst-20217	45	5	a	a	DET
ajst-20217	45	6	1	1	NUM
ajst-20217	45	7	3	3	NUM
ajst-20217	45	8	and	and	CCONJ
ajst-20217	45	9	a	a	DET
ajst-20217	45	10	3	3	NUM
ajst-20217	45	11	1	1	NUM
ajst-20217	45	12	kernel	kernel	PROPN
ajst-20217	45	13	convolutional	convolutional	ADJ
ajst-20217	45	14	layer	layer	NOUN
ajst-20217	45	15	to	to	PART
ajst-20217	45	16	generate	generate	VERB
ajst-20217	45	17	two	two	NUM
ajst-20217	45	18	new	new	ADJ
ajst-20217	45	19	feature	feature	NOUN
ajst-20217	45	20	maps	map	NOUN
ajst-20217	45	21	,	,	PUNCT
ajst-20217	45	22	c	c	PROPN
ajst-20217	45	23	h	h	NOUN
ajst-20217	45	24	wq	wq	PROPN
ajst-20217	45	25			PROPN
ajst-20217	45	26			PROPN
ajst-20217	46	1	and	and	CCONJ
ajst-20217	46	2	c	c	PROPN
ajst-20217	46	3	h	h	NOUN
ajst-20217	46	4	wk	wk	INTJ
ajst-20217	46	5			PROPN
ajst-20217	46	6			PROPN
ajst-20217	46	7	,	,	PUNCT
ajst-20217	46	8	respectively	respectively	ADV
ajst-20217	46	9	,	,	PUNCT
ajst-20217	46	10	which	which	PRON
ajst-20217	46	11	capture	capture	VERB
ajst-20217	46	12	the	the	DET
ajst-20217	46	13	edge	edge	NOUN
ajst-20217	46	14	information	information	NOUN
ajst-20217	46	15	of	of	ADP
ajst-20217	46	16	the	the	DET
ajst-20217	46	17	semantic	semantic	ADJ
ajst-20217	46	18	feature	feature	NOUN
ajst-20217	46	19	maps	map	NOUN
ajst-20217	46	20	in	in	ADP
ajst-20217	46	21	the	the	DET
ajst-20217	46	22	horizontal	horizontal	ADJ
ajst-20217	46	23	and	and	CCONJ
ajst-20217	46	24	vertical	vertical	ADJ
ajst-20217	46	25	directions	direction	NOUN
ajst-20217	46	26	.	.	PUNCT
ajst-20217	47	1	afterwards	afterwards	ADV
ajst-20217	47	2	,	,	PUNCT
ajst-20217	47	3	these	these	DET
ajst-20217	47	4	two	two	NUM
ajst-20217	47	5	new	new	ADJ
ajst-20217	47	6	feature	feature	NOUN
ajst-20217	47	7	graphs	graph	NOUN
ajst-20217	47	8	are	be	AUX
ajst-20217	47	9	reshaped	reshape	VERB
ajst-20217	47	10	into	into	ADP
ajst-20217	47	11	the	the	DET
ajst-20217	47	12	form	form	NOUN
ajst-20217	47	13	of	of	ADP
ajst-20217	47	14	c	c	PROPN
ajst-20217	47	15	n	n	PROPN
ajst-20217	47	16	rc×n	rc×n	NOUN
ajst-20217	47	17	,	,	PUNCT
ajst-20217	47	18	where	where	SCONJ
ajst-20217	47	19	n	n	DET
ajst-20217	47	20	h	h	NOUN
ajst-20217	47	21	w	w	VERB
ajst-20217	47	22			NOUN
ajst-20217	47	23	represents	represent	VERB
ajst-20217	47	24	the	the	DET
ajst-20217	47	25	number	number	NOUN
ajst-20217	47	26	of	of	ADP
ajst-20217	47	27	features	feature	NOUN
ajst-20217	47	28	.	.	PUNCT
ajst-20217	48	1	the	the	DET
ajst-20217	48	2	transpositions	transposition	NOUN
ajst-20217	48	3	of	of	ADP
ajst-20217	48	4	q	q	NOUN
ajst-20217	48	5	and	and	CCONJ
ajst-20217	48	6	k	k	PROPN
ajst-20217	48	7	are	be	AUX
ajst-20217	48	8	further	far	ADV
ajst-20217	48	9	fused	fuse	VERB
ajst-20217	48	10	by	by	ADP
ajst-20217	48	11	matrix	matrix	NOUN
ajst-20217	48	12	multiplication	multiplication	NOUN
ajst-20217	48	13	,	,	PUNCT
ajst-20217	48	14	and	and	CCONJ
ajst-20217	48	15	intra	intra	ADJ
ajst-20217	48	16	-	-	ADJ
ajst-20217	48	17	class	class	ADJ
ajst-20217	48	18	spatial	spatial	ADJ
ajst-20217	48	19	associations	association	NOUN
ajst-20217	48	20	can	can	AUX
ajst-20217	48	21	be	be	AUX
ajst-20217	48	22	obtained	obtain	VERB
ajst-20217	48	23	by	by	ADP
ajst-20217	48	24	applying	apply	VERB
ajst-20217	48	25	a	a	DET
ajst-20217	48	26	softmax	softmax	NOUN
ajst-20217	48	27	layer	layer	NOUN
ajst-20217	48	28	:	:	PUNCT
ajst-20217	48	29			NOUN
ajst-20217	48	30			SYM
ajst-20217	48	31			NOUN
ajst-20217	48	32			PROPN
ajst-20217	48	33	(	(	PUNCT
ajst-20217	48	34	)	)	PUNCT
ajst-20217	48	35	(	(	PUNCT
ajst-20217	48	36	)	)	PUNCT
ajst-20217	48	37	(	(	PUNCT
ajst-20217	48	38	,	,	PUNCT
ajst-20217	48	39	)	)	PUNCT
ajst-20217	48	40	(	(	PUNCT
ajst-20217	48	41	)	)	PUNCT
ajst-20217	48	42	(	(	PUNCT
ajst-20217	48	43	)	)	SYM
ajst-20217	48	44	1	1	NUM
ajst-20217	48	45	exp	exp	NOUN
ajst-20217	48	46	exp	exp	NOUN
ajst-20217	48	47	t	t	NOUN
ajst-20217	48	48	x	x	PROPN
ajst-20217	48	49	y	y	PROPN
ajst-20217	48	50	x	x	SYM
ajst-20217	48	51	y	y	PROPN
ajst-20217	48	52	n	n	ADV
ajst-20217	48	53	t	t	NOUN
ajst-20217	48	54	x	x	SYM
ajst-20217	49	1	yx	yx	PROPN
ajst-20217	49	2	k	k	PROPN
ajst-20217	49	3	q	q	X
ajst-20217	50	1	s	s	X
ajst-20217	50	2	k	k	X
ajst-20217	50	3	q	q	X
ajst-20217	50	4			PROPN
ajst-20217	50	5			NUM
ajst-20217	51	1			NOUN
ajst-20217	51	2			X
ajst-20217	51	3	(	(	PUNCT
ajst-20217	51	4	1	1	NUM
ajst-20217	51	5	)	)	PUNCT
ajst-20217	51	6	where	where	SCONJ
ajst-20217	51	7	(	(	PUNCT
ajst-20217	51	8	,	,	PUNCT
ajst-20217	51	9	)	)	PUNCT
ajst-20217	51	10	x	x	SYM
ajst-20217	51	11	ys	ys	PROPN
ajst-20217	51	12	denotes	denote	VERB
ajst-20217	51	13	the	the	DET
ajst-20217	51	14	effect	effect	NOUN
ajst-20217	51	15	of	of	ADP
ajst-20217	51	16	the	the	DET
ajst-20217	51	17	thx	thx	PROPN
ajst-20217	51	18	position	position	NOUN
ajst-20217	51	19	on	on	ADP
ajst-20217	51	20	the	the	DET
ajst-20217	51	21	thy	thy	NOUN
ajst-20217	51	22	position	position	NOUN
ajst-20217	51	23	.	.	PUNCT
ajst-20217	52	1	meanwhile	meanwhile	ADV
ajst-20217	52	2	,	,	PUNCT
ajst-20217	52	3	the	the	DET
ajst-20217	52	4	feature	feature	NOUN
ajst-20217	52	5	map	map	NOUN
ajst-20217	52	6	f	f	NOUN
ajst-20217	52	7	is	be	AUX
ajst-20217	52	8	input	input	NOUN
ajst-20217	52	9	to	to	ADP
ajst-20217	52	10	a	a	DET
ajst-20217	52	11	1	1	NUM
ajst-20217	52	12	1	1	NUM
ajst-20217	52	13	convolutional	convolutional	ADJ
ajst-20217	52	14	layer	layer	NOUN
ajst-20217	52	15	to	to	PART
ajst-20217	52	16	produce	produce	VERB
ajst-20217	52	17	a	a	DET
ajst-20217	52	18	reduced	reduce	VERB
ajst-20217	52	19	-	-	PUNCT
ajst-20217	52	20	dimensional	dimensional	ADJ
ajst-20217	52	21	feature	feature	NOUN
ajst-20217	52	22	map	map	NOUN
ajst-20217	52	23	c	c	PROPN
ajst-20217	52	24	h	h	NOUN
ajst-20217	52	25	wv	wv	PROPN
ajst-20217	52	26			PROPN
ajst-20217	52	27			PROPN
ajst-20217	52	28	,	,	PUNCT
ajst-20217	52	29	and	and	CCONJ
ajst-20217	52	30	then	then	ADV
ajst-20217	52	31	s	s	VERB
ajst-20217	52	32	is	be	AUX
ajst-20217	52	33	reshaped	reshaped	ADJ
ajst-20217	52	34	to	to	ADP
ajst-20217	52	35	c	c	PROPN
ajst-20217	52	36	h	h	PROPN
ajst-20217	52	37	w	w	PROPN
ajst-20217	52	38			PROPN
ajst-20217	52	39	.	.	PUNCT
ajst-20217	53	1	matrix	matrix	NOUN
ajst-20217	53	2	multiplication	multiplication	NOUN
ajst-20217	53	3	is	be	AUX
ajst-20217	53	4	performed	perform	VERB
ajst-20217	53	5	between	between	ADP
ajst-20217	53	6	v	v	NOUN
ajst-20217	53	7	and	and	CCONJ
ajst-20217	53	8	s	s	VERB
ajst-20217	53	9	to	to	PART
ajst-20217	53	10	obtain	obtain	VERB
ajst-20217	53	11	a	a	DET
ajst-20217	53	12	pixel	pixel	ADJ
ajst-20217	53	13	-	-	PUNCT
ajst-20217	53	14	level	level	NOUN
ajst-20217	53	15	spatial	spatial	ADJ
ajst-20217	53	16	affinity	affinity	NOUN
ajst-20217	53	17	m	m	NOUN
ajst-20217	53	18	c	c	NOUN
ajst-20217	53	19	h	h	NOUN
ajst-20217	53	20	w	w	PROPN
ajst-20217	53	21			PROPN
ajst-20217	53	22	.	.	PUNCT
ajst-20217	54	1	finally	finally	ADV
ajst-20217	54	2	,	,	PUNCT
ajst-20217	54	3	we	we	PRON
ajst-20217	54	4	perform	perform	VERB
ajst-20217	54	5	a	a	DET
ajst-20217	54	6	pixel	pixel	ADJ
ajst-20217	54	7	-	-	PUNCT
ajst-20217	54	8	level	level	NOUN
ajst-20217	54	9	summation	summation	NOUN
ajst-20217	54	10	of	of	ADP
ajst-20217	54	11	f	f	PROPN
ajst-20217	54	12	and	and	CCONJ
ajst-20217	54	13	m	m	PROPN
ajst-20217	54	14	.	.	PUNCT
ajst-20217	55	1	sam	sam	PROPN
ajst-20217	55	2	can	can	AUX
ajst-20217	55	3	effectively	effectively	ADV
ajst-20217	55	4	acquire	acquire	VERB
ajst-20217	55	5	global	global	ADJ
ajst-20217	55	6	and	and	CCONJ
ajst-20217	55	7	local	local	ADJ
ajst-20217	55	8	contextual	contextual	ADJ
ajst-20217	55	9	feature	feature	NOUN
ajst-20217	55	10	information	information	NOUN
ajst-20217	55	11	and	and	CCONJ
ajst-20217	55	12	selectively	selectively	ADV
ajst-20217	55	13	aggregate	aggregate	ADJ
ajst-20217	55	14	contexts	context	NOUN
ajst-20217	55	15	based	base	VERB
ajst-20217	55	16	on	on	ADP
ajst-20217	55	17	spatial	spatial	ADJ
ajst-20217	55	18	attention	attention	NOUN
ajst-20217	55	19	feature	feature	NOUN
ajst-20217	55	20	maps	map	NOUN
ajst-20217	55	21	.	.	PUNCT
ajst-20217	56	1	for	for	ADP
ajst-20217	56	2	the	the	DET
ajst-20217	56	3	fuzzy	fuzzy	ADJ
ajst-20217	56	4	edges	edge	NOUN
ajst-20217	56	5	of	of	ADP
ajst-20217	56	6	polyps	polyp	NOUN
ajst-20217	56	7	and	and	CCONJ
ajst-20217	56	8	surrounding	surround	VERB
ajst-20217	56	9	background	background	NOUN
ajst-20217	56	10	regions	region	NOUN
ajst-20217	56	11	,	,	PUNCT
ajst-20217	56	12	it	it	PRON
ajst-20217	56	13	can	can	AUX
ajst-20217	56	14	get	get	VERB
ajst-20217	56	15	more	more	ADV
ajst-20217	56	16	accurate	accurate	ADJ
ajst-20217	56	17	segmentation	segmentation	NOUN
ajst-20217	56	18	results	result	NOUN
ajst-20217	56	19	.	.	PUNCT
ajst-20217	57	1	2.2	2.2	NUM
ajst-20217	57	2	.	.	PUNCT
ajst-20217	57	3	channel	channel	NOUN
ajst-20217	57	4	attention	attention	NOUN
ajst-20217	57	5	module	module	NOUN
ajst-20217	57	6	.	.	PUNCT
ajst-20217	58	1	each	each	DET
ajst-20217	58	2	channel	channel	NOUN
ajst-20217	58	3	of	of	ADP
ajst-20217	58	4	a	a	DET
ajst-20217	58	5	high	high	ADJ
ajst-20217	58	6	-	-	PUNCT
ajst-20217	58	7	level	level	NOUN
ajst-20217	58	8	feature	feature	NOUN
ajst-20217	58	9	contains	contain	VERB
ajst-20217	58	10	class	class	NOUN
ajst-20217	58	11	-	-	PUNCT
ajst-20217	58	12	specific	specific	ADJ
ajst-20217	58	13	responses	response	NOUN
ajst-20217	58	14	[	[	X
ajst-20217	58	15	10	10	NUM
ajst-20217	58	16	]	]	PUNCT
ajst-20217	58	17	,	,	PUNCT
ajst-20217	58	18	therefore	therefore	ADV
ajst-20217	58	19	,	,	PUNCT
ajst-20217	58	20	in	in	ADP
ajst-20217	58	21	this	this	DET
ajst-20217	58	22	paper	paper	NOUN
ajst-20217	58	23	,	,	PUNCT
ajst-20217	58	24	we	we	PRON
ajst-20217	58	25	will	will	AUX
ajst-20217	58	26	further	far	ADV
ajst-20217	58	27	explore	explore	VERB
ajst-20217	58	28	the	the	DET
ajst-20217	58	29	interdependence	interdependence	NOUN
ajst-20217	58	30	of	of	ADP
ajst-20217	58	31	channel	channel	NOUN
ajst-20217	58	32	mappings	mapping	NOUN
ajst-20217	58	33	and	and	CCONJ
ajst-20217	58	34	improve	improve	VERB
ajst-20217	58	35	feature	feature	NOUN
ajst-20217	58	36	representation	representation	NOUN
ajst-20217	58	37	by	by	ADP
ajst-20217	58	38	emphasizing	emphasize	VERB
ajst-20217	58	39	the	the	DET
ajst-20217	58	40	interdependence	interdependence	NOUN
ajst-20217	58	41	of	of	ADP
ajst-20217	58	42	feature	feature	NOUN
ajst-20217	58	43	maps	map	NOUN
ajst-20217	58	44	.	.	PUNCT
ajst-20217	59	1	the	the	DET
ajst-20217	59	2	input	input	NOUN
ajst-20217	59	3	feature	feature	NOUN
ajst-20217	59	4	map	map	NOUN
ajst-20217	59	5	c	c	NOUN
ajst-20217	59	6	h	h	NOUN
ajst-20217	59	7	wf	wf	PROPN
ajst-20217	59	8			PROPN
ajst-20217	59	9			PROPN
ajst-20217	59	10	is	be	AUX
ajst-20217	59	11	passed	pass	VERB
ajst-20217	59	12	through	through	ADP
ajst-20217	59	13	a	a	DET
ajst-20217	59	14	1	1	NUM
ajst-20217	59	15	1	1	NUM
ajst-20217	59	16	convolutional	convolutional	ADJ
ajst-20217	59	17	layer	layer	NOUN
ajst-20217	59	18	to	to	PART
ajst-20217	59	19	obtain	obtain	VERB
ajst-20217	59	20	three	three	NUM
ajst-20217	59	21	channel	channel	NOUN
ajst-20217	59	22	attention	attention	NOUN
ajst-20217	59	23	maps	map	NOUN
ajst-20217	59	24	'	'	PART
ajst-20217	59	25	c	c	NOUN
ajst-20217	60	1	h	h	NOUN
ajst-20217	60	2	wq	wq	NOUN
ajst-20217	60	3			INTJ
ajst-20217	60	4			PROPN
ajst-20217	60	5	,	,	PUNCT
ajst-20217	60	6	'	'	PUNCT
ajst-20217	60	7	c	c	NOUN
ajst-20217	60	8	h	h	NOUN
ajst-20217	60	9	wk	wk	INTJ
ajst-20217	60	10			PROPN
ajst-20217	60	11			PROPN
ajst-20217	60	12	and	and	CCONJ
ajst-20217	60	13	'	'	PUNCT
ajst-20217	60	14	c	c	NOUN
ajst-20217	61	1	h	h	PROPN
ajst-20217	61	2	wv	wv	PROPN
ajst-20217	61	3			PROPN
ajst-20217	61	4			PROPN
ajst-20217	61	5	.	.	PUNCT
ajst-20217	62	1	193	193	NUM
ajst-20217	62	2	similar	similar	ADJ
ajst-20217	62	3	to	to	ADP
ajst-20217	62	4	sam	sam	PROPN
ajst-20217	62	5	,	,	PUNCT
ajst-20217	62	6	after	after	SCONJ
ajst-20217	62	7	we	we	PRON
ajst-20217	62	8	reshape	reshape	VERB
ajst-20217	62	9	into	into	ADP
ajst-20217	62	10	c	c	PROPN
ajst-20217	62	11	n	n	PROPN
ajst-20217	62	12	,	,	PUNCT
ajst-20217	62	13	we	we	PRON
ajst-20217	62	14	perform	perform	VERB
ajst-20217	62	15	a	a	DET
ajst-20217	62	16	multiplication	multiplication	NOUN
ajst-20217	62	17	operation	operation	NOUN
ajst-20217	62	18	between	between	ADP
ajst-20217	62	19	f	f	PROPN
ajst-20217	62	20	and	and	CCONJ
ajst-20217	62	21	its	its	PRON
ajst-20217	62	22	transpose	transpose	NOUN
ajst-20217	62	23	and	and	CCONJ
ajst-20217	62	24	obtain	obtain	VERB
ajst-20217	62	25	the	the	DET
ajst-20217	62	26	channel	channel	NOUN
ajst-20217	62	27	affinity	affinity	NOUN
ajst-20217	62	28	map	map	NOUN
ajst-20217	62	29	'	'	PUNCT
ajst-20217	62	30	c	c	NOUN
ajst-20217	62	31	cm	cm	NOUN
ajst-20217	62	32			PUNCT
ajst-20217	62	33	by	by	ADP
ajst-20217	62	34	applying	apply	VERB
ajst-20217	62	35	a	a	DET
ajst-20217	62	36	softmax	softmax	NOUN
ajst-20217	62	37	layer	layer	NOUN
ajst-20217	62	38	.	.	PUNCT
ajst-20217	63	1			NOUN
ajst-20217	64	1			PUNCT
ajst-20217	64	2			NOUN
ajst-20217	64	3			PROPN
ajst-20217	64	4	(	(	PUNCT
ajst-20217	64	5	)	)	PUNCT
ajst-20217	64	6	(	(	PUNCT
ajst-20217	64	7	)	)	PUNCT
ajst-20217	64	8	(	(	PUNCT
ajst-20217	64	9	,	,	PUNCT
ajst-20217	64	10	)	)	PUNCT
ajst-20217	64	11	(	(	PUNCT
ajst-20217	64	12	)	)	PUNCT
ajst-20217	64	13	(	(	PUNCT
ajst-20217	64	14	)	)	SYM
ajst-20217	64	15	1	1	NUM
ajst-20217	64	16	exp	exp	NOUN
ajst-20217	64	17	exp	exp	NOUN
ajst-20217	64	18	x	x	PROPN
ajst-20217	64	19	y	y	NOUN
ajst-20217	64	20	x	x	PROPN
ajst-20217	64	21	y	y	NOUN
ajst-20217	64	22	c	c	NOUN
ajst-20217	64	23	x	x	SYM
ajst-20217	64	24	yx	yx	NOUN
ajst-20217	64	25	f	f	PROPN
ajst-20217	64	26	f	f	PROPN
ajst-20217	64	27	c	c	PROPN
ajst-20217	64	28	f	f	PROPN
ajst-20217	64	29	f	f	PROPN
ajst-20217	64	30			PROPN
ajst-20217	64	31			PROPN
ajst-20217	64	32			PROPN
ajst-20217	64	33			X
ajst-20217	64	34	(	(	PUNCT
ajst-20217	64	35	2	2	NUM
ajst-20217	64	36	)	)	PUNCT
ajst-20217	64	37	where	where	SCONJ
ajst-20217	64	38	(	(	PUNCT
ajst-20217	64	39	,	,	PUNCT
ajst-20217	64	40	)	)	PUNCT
ajst-20217	64	41	x	x	X
ajst-20217	64	42	yc	yc	NOUN
ajst-20217	64	43	represents	represent	VERB
ajst-20217	64	44	the	the	DET
ajst-20217	64	45	similarity	similarity	NOUN
ajst-20217	64	46	between	between	ADP
ajst-20217	64	47	the	the	DET
ajst-20217	64	48	thx	thx	PROPN
ajst-20217	64	49	channel	channel	NOUN
ajst-20217	64	50	and	and	CCONJ
ajst-20217	64	51	the	the	DET
ajst-20217	64	52	thy	thy	PRON
ajst-20217	64	53	channel	channel	NOUN
ajst-20217	64	54	.	.	PUNCT
ajst-20217	65	1	the	the	DET
ajst-20217	65	2	final	final	ADJ
ajst-20217	65	3	output	output	NOUN
ajst-20217	65	4	can	can	AUX
ajst-20217	65	5	be	be	AUX
ajst-20217	65	6	obtained	obtain	VERB
ajst-20217	65	7	by	by	ADP
ajst-20217	65	8	performing	perform	VERB
ajst-20217	65	9	a	a	DET
ajst-20217	65	10	matrix	matrix	NOUN
ajst-20217	65	11	multiplication	multiplication	NOUN
ajst-20217	65	12	between	between	ADP
ajst-20217	65	13	the	the	DET
ajst-20217	65	14	c	c	PROPN
ajst-20217	65	15	and	and	CCONJ
ajst-20217	65	16	'	'	PUNCT
ajst-20217	65	17	v	v	NOUN
ajst-20217	65	18	transpositions	transposition	NOUN
ajst-20217	65	19	,	,	PUNCT
ajst-20217	65	20	which	which	PRON
ajst-20217	65	21	will	will	AUX
ajst-20217	65	22	be	be	AUX
ajst-20217	65	23	reshaped	reshape	VERB
ajst-20217	65	24	to	to	ADP
ajst-20217	65	25	c	c	PROPN
ajst-20217	65	26	h	h	PROPN
ajst-20217	65	27	w	w	PROPN
ajst-20217	65	28			PROPN
ajst-20217	65	29	.	.	PUNCT
ajst-20217	66	1	such	such	DET
ajst-20217	66	2	an	an	DET
ajst-20217	66	3	operation	operation	NOUN
ajst-20217	66	4	highlights	highlight	NOUN
ajst-20217	66	5	the	the	DET
ajst-20217	66	6	categorydependent	categorydependent	NOUN
ajst-20217	66	7	feature	feature	NOUN
ajst-20217	66	8	mappings	mapping	NOUN
ajst-20217	66	9	and	and	CCONJ
ajst-20217	66	10	helps	help	VERB
ajst-20217	66	11	to	to	PART
ajst-20217	66	12	improve	improve	VERB
ajst-20217	66	13	feature	feature	NOUN
ajst-20217	66	14	discrimination	discrimination	NOUN
ajst-20217	66	15	.	.	PUNCT
ajst-20217	67	1	to	to	PART
ajst-20217	67	2	recover	recover	VERB
ajst-20217	67	3	the	the	DET
ajst-20217	67	4	dimensionality	dimensionality	NOUN
ajst-20217	67	5	of	of	ADP
ajst-20217	67	6	high	high	ADJ
ajst-20217	67	7	-	-	PUNCT
ajst-20217	67	8	level	level	NOUN
ajst-20217	67	9	semantic	semantic	ADJ
ajst-20217	67	10	features	feature	NOUN
ajst-20217	67	11	,	,	PUNCT
ajst-20217	67	12	this	this	DET
ajst-20217	67	13	paper	paper	NOUN
ajst-20217	67	14	proposes	propose	VERB
ajst-20217	67	15	a	a	DET
ajst-20217	67	16	novel	novel	ADJ
ajst-20217	67	17	feature	feature	NOUN
ajst-20217	67	18	decoder	decoder	NOUN
ajst-20217	67	19	module	module	NOUN
ajst-20217	67	20	.	.	PUNCT
ajst-20217	68	1	we	we	PRON
ajst-20217	68	2	design	design	VERB
ajst-20217	68	3	a	a	DET
ajst-20217	68	4	series	series	NOUN
ajst-20217	68	5	of	of	ADP
ajst-20217	68	6	upsampling	upsample	VERB
ajst-20217	68	7	layers	layer	NOUN
ajst-20217	68	8	in	in	ADP
ajst-20217	68	9	the	the	DET
ajst-20217	68	10	decoder	decoder	NOUN
ajst-20217	68	11	stage	stage	NOUN
ajst-20217	68	12	to	to	PART
ajst-20217	68	13	progressively	progressively	ADV
ajst-20217	68	14	upsample	upsample	VERB
ajst-20217	68	15	the	the	DET
ajst-20217	68	16	features	feature	NOUN
ajst-20217	68	17	of	of	ADP
ajst-20217	68	18	the	the	DET
ajst-20217	68	19	current	current	ADJ
ajst-20217	68	20	layer	layer	NOUN
ajst-20217	68	21	and	and	CCONJ
ajst-20217	68	22	align	align	VERB
ajst-20217	68	23	the	the	DET
ajst-20217	68	24	dimensions	dimension	NOUN
ajst-20217	68	25	with	with	ADP
ajst-20217	68	26	those	those	PRON
ajst-20217	68	27	of	of	ADP
ajst-20217	68	28	the	the	DET
ajst-20217	68	29	next	next	ADJ
ajst-20217	68	30	feature	feature	NOUN
ajst-20217	68	31	layer	layer	NOUN
ajst-20217	68	32	.	.	PUNCT
ajst-20217	69	1	each	each	DET
ajst-20217	69	2	upsampling	upsampling	NOUN
ajst-20217	69	3	module	module	NOUN
ajst-20217	69	4	contains	contain	VERB
ajst-20217	69	5	the	the	DET
ajst-20217	69	6	upsampling	upsample	VERB
ajst-20217	69	7	layer	layer	NOUN
ajst-20217	69	8	,	,	PUNCT
ajst-20217	69	9	3	3	NUM
ajst-20217	69	10	3	3	NUM
ajst-20217	69	11	convolution	convolution	NOUN
ajst-20217	69	12	,	,	PUNCT
ajst-20217	69	13	batch	batch	NOUN
ajst-20217	69	14	normalization	normalization	NOUN
ajst-20217	69	15	,	,	PUNCT
ajst-20217	69	16	and	and	CCONJ
ajst-20217	69	17	relu	relu	NOUN
ajst-20217	69	18	activation	activation	NOUN
ajst-20217	69	19	function	function	NOUN
ajst-20217	69	20	.	.	PUNCT
ajst-20217	70	1	between	between	ADP
ajst-20217	70	2	the	the	DET
ajst-20217	70	3	encoder	encoder	NOUN
ajst-20217	70	4	and	and	CCONJ
ajst-20217	70	5	decoder	decoder	NOUN
ajst-20217	70	6	,	,	PUNCT
ajst-20217	70	7	we	we	PRON
ajst-20217	70	8	introduce	introduce	VERB
ajst-20217	70	9	jump	jump	NOUN
ajst-20217	70	10	connections	connection	NOUN
ajst-20217	70	11	,	,	PUNCT
ajst-20217	70	12	similar	similar	ADJ
ajst-20217	70	13	to	to	ADP
ajst-20217	70	14	u	u	NOUN
ajst-20217	70	15	-	-	NOUN
ajst-20217	70	16	net	net	ADJ
ajst-20217	70	17	[	[	X
ajst-20217	70	18	1	1	NUM
ajst-20217	70	19	]	]	PUNCT
ajst-20217	70	20	.	.	PUNCT
ajst-20217	71	1	finally	finally	ADV
ajst-20217	71	2	,	,	PUNCT
ajst-20217	71	3	we	we	PRON
ajst-20217	71	4	obtain	obtain	VERB
ajst-20217	71	5	the	the	DET
ajst-20217	71	6	final	final	ADJ
ajst-20217	71	7	segmentation	segmentation	NOUN
ajst-20217	71	8	map	map	NOUN
ajst-20217	71	9	by	by	ADP
ajst-20217	71	10	applying	apply	VERB
ajst-20217	71	11	a	a	DET
ajst-20217	71	12	1	1	NUM
ajst-20217	71	13	1	1	NUM
ajst-20217	71	14	convolutional	convolutional	ADJ
ajst-20217	71	15	layer	layer	NOUN
ajst-20217	71	16	and	and	CCONJ
ajst-20217	71	17	a	a	DET
ajst-20217	71	18	sigmoid	sigmoid	NOUN
ajst-20217	71	19	layer	layer	NOUN
ajst-20217	71	20	to	to	ADP
ajst-20217	71	21	the	the	DET
ajst-20217	71	22	output	output	NOUN
ajst-20217	71	23	of	of	ADP
ajst-20217	71	24	the	the	DET
ajst-20217	71	25	feature	feature	NOUN
ajst-20217	71	26	decoder	decoder	NOUN
ajst-20217	71	27	module	module	NOUN
ajst-20217	71	28	.	.	PUNCT
ajst-20217	72	1	3	3	X
ajst-20217	72	2	.	.	X
ajst-20217	72	3	experiments	experiment	NOUN
ajst-20217	72	4	this	this	DET
ajst-20217	72	5	chapter	chapter	NOUN
ajst-20217	72	6	first	first	ADV
ajst-20217	72	7	describes	describe	VERB
ajst-20217	72	8	the	the	DET
ajst-20217	72	9	datasets	dataset	NOUN
ajst-20217	72	10	used	use	VERB
ajst-20217	72	11	for	for	ADP
ajst-20217	72	12	the	the	DET
ajst-20217	72	13	evaluation	evaluation	NOUN
ajst-20217	72	14	,	,	PUNCT
ajst-20217	72	15	implementation	implementation	NOUN
ajst-20217	72	16	details	detail	NOUN
ajst-20217	72	17	and	and	CCONJ
ajst-20217	72	18	evaluation	evaluation	NOUN
ajst-20217	72	19	criteria	criterion	NOUN
ajst-20217	72	20	.	.	PUNCT
ajst-20217	73	1	then	then	ADV
ajst-20217	73	2	,	,	PUNCT
ajst-20217	73	3	a	a	DET
ajst-20217	73	4	series	series	NOUN
ajst-20217	73	5	of	of	ADP
ajst-20217	73	6	ablation	ablation	NOUN
ajst-20217	73	7	experiments	experiment	NOUN
ajst-20217	73	8	are	be	AUX
ajst-20217	73	9	performed	perform	VERB
ajst-20217	73	10	on	on	ADP
ajst-20217	73	11	five	five	NUM
ajst-20217	73	12	datasets	dataset	NOUN
ajst-20217	73	13	,	,	PUNCT
ajst-20217	73	14	including	include	VERB
ajst-20217	73	15	kvasir	kvasir	NOUN
ajst-20217	73	16	,	,	PUNCT
ajst-20217	73	17	cvc	cvc	NOUN
ajst-20217	73	18	-	-	PUNCT
ajst-20217	73	19	clinicdb	clinicdb	NOUN
ajst-20217	73	20	,	,	PUNCT
ajst-20217	73	21	cvc	cvc	NOUN
ajst-20217	73	22	-	-	PUNCT
ajst-20217	73	23	colondb	colondb	NOUN
ajst-20217	73	24	,	,	PUNCT
ajst-20217	73	25	etis	etis	NOUN
ajst-20217	73	26	-	-	PUNCT
ajst-20217	73	27	laribdb	laribdb	NOUN
ajst-20217	73	28	,	,	PUNCT
ajst-20217	73	29	and	and	CCONJ
ajst-20217	73	30	endoscene.finally	endoscene.finally	ADV
ajst-20217	73	31	,	,	PUNCT
ajst-20217	73	32	the	the	DET
ajst-20217	73	33	effectiveness	effectiveness	NOUN
ajst-20217	73	34	of	of	ADP
ajst-20217	73	35	each	each	DET
ajst-20217	73	36	module	module	NOUN
ajst-20217	73	37	in	in	ADP
ajst-20217	73	38	the	the	DET
ajst-20217	73	39	proposed	propose	VERB
ajst-20217	73	40	framework	framework	NOUN
ajst-20217	73	41	is	be	AUX
ajst-20217	73	42	demonstrated	demonstrate	VERB
ajst-20217	73	43	and	and	CCONJ
ajst-20217	73	44	analyzed	analyze	VERB
ajst-20217	73	45	,	,	PUNCT
ajst-20217	73	46	and	and	CCONJ
ajst-20217	73	47	the	the	DET
ajst-20217	73	48	results	result	NOUN
ajst-20217	73	49	are	be	AUX
ajst-20217	73	50	provided	provide	VERB
ajst-20217	73	51	for	for	ADP
ajst-20217	73	52	visualization	visualization	NOUN
ajst-20217	73	53	.	.	PUNCT
ajst-20217	74	1	3.1	3.1	NUM
ajst-20217	74	2	.	.	PUNCT
ajst-20217	74	3	datasets	dataset	NOUN
ajst-20217	74	4	.	.	PUNCT
ajst-20217	75	1	the	the	DET
ajst-20217	75	2	segmentation	segmentation	NOUN
ajst-20217	75	3	dataset	dataset	VERB
ajst-20217	75	4	used	use	VERB
ajst-20217	75	5	in	in	ADP
ajst-20217	75	6	this	this	DET
ajst-20217	75	7	paper	paper	NOUN
ajst-20217	75	8	is	be	AUX
ajst-20217	75	9	mainly	mainly	ADV
ajst-20217	75	10	colon	colon	NOUN
ajst-20217	75	11	polyps	polyp	NOUN
ajst-20217	75	12	,	,	PUNCT
ajst-20217	75	13	and	and	CCONJ
ajst-20217	75	14	the	the	DET
ajst-20217	75	15	polyp	polyp	NOUN
ajst-20217	75	16	dataset	dataset	NOUN
ajst-20217	75	17	contains	contain	VERB
ajst-20217	75	18	five	five	NUM
ajst-20217	75	19	polyp	polyp	NOUN
ajst-20217	75	20	data	datum	NOUN
ajst-20217	75	21	,	,	PUNCT
ajst-20217	75	22	which	which	PRON
ajst-20217	75	23	are	be	AUX
ajst-20217	75	24	etis	etis	NOUN
ajst-20217	75	25	-	-	PUNCT
ajst-20217	75	26	laribdb	laribdb	NOUN
ajst-20217	75	27	[	[	X
ajst-20217	75	28	12	12	NUM
ajst-20217	75	29	]	]	PUNCT
ajst-20217	75	30	,	,	PUNCT
ajst-20217	75	31	cvc	cvc	NOUN
ajst-20217	75	32	-	-	PUNCT
ajst-20217	75	33	clinicdb	clinicdb	NOUN
ajst-20217	76	1	[	[	X
ajst-20217	76	2	13	13	NUM
ajst-20217	76	3	]	]	PUNCT
ajst-20217	76	4	,	,	PUNCT
ajst-20217	76	5	cvc	cvc	NOUN
ajst-20217	76	6	-	-	PUNCT
ajst-20217	76	7	colondb	colondb	NOUN
ajst-20217	76	8	[	[	X
ajst-20217	76	9	14	14	NUM
ajst-20217	76	10	]	]	PUNCT
ajst-20217	76	11	,	,	PUNCT
ajst-20217	76	12	endoscene	endoscene	NOUN
ajst-20217	77	1	[	[	X
ajst-20217	77	2	15	15	NUM
ajst-20217	77	3	]	]	PUNCT
ajst-20217	77	4	and	and	CCONJ
ajst-20217	77	5	kvasir	kvasir	NOUN
ajst-20217	78	1	[	[	X
ajst-20217	78	2	16	16	NUM
ajst-20217	78	3	]	]	PUNCT
ajst-20217	78	4	.	.	PUNCT
ajst-20217	79	1	the	the	DET
ajst-20217	79	2	etis	etis	NOUN
ajst-20217	79	3	-	-	PUNCT
ajst-20217	79	4	laribdb	laribdb	NOUN
ajst-20217	79	5	dataset	dataset	NOUN
ajst-20217	79	6	is	be	AUX
ajst-20217	79	7	an	an	DET
ajst-20217	79	8	early	early	ADV
ajst-20217	79	9	constructed	construct	VERB
ajst-20217	79	10	dataset	dataset	NOUN
ajst-20217	79	11	mainly	mainly	ADV
ajst-20217	79	12	used	use	VERB
ajst-20217	79	13	for	for	ADP
ajst-20217	79	14	early	early	ADJ
ajst-20217	79	15	diagnosis	diagnosis	NOUN
ajst-20217	79	16	of	of	ADP
ajst-20217	79	17	colorectal	colorectal	ADJ
ajst-20217	79	18	cancer	cancer	NOUN
ajst-20217	79	19	and	and	CCONJ
ajst-20217	79	20	contains	contain	VERB
ajst-20217	79	21	196	196	NUM
ajst-20217	79	22	images	image	NOUN
ajst-20217	79	23	with	with	ADP
ajst-20217	79	24	an	an	DET
ajst-20217	79	25	image	image	NOUN
ajst-20217	79	26	size	size	NOUN
ajst-20217	79	27	of	of	ADP
ajst-20217	79	28	1225×966	1225×966	NUM
ajst-20217	79	29	.	.	PUNCT
ajst-20217	80	1	cvc	cvc	NOUN
ajst-20217	80	2	-	-	PUNCT
ajst-20217	80	3	clinicdb	clinicdb	PROPN
ajst-20217	80	4	,	,	PUNCT
ajst-20217	80	5	also	also	ADV
ajst-20217	80	6	known	know	VERB
ajst-20217	80	7	as	as	ADP
ajst-20217	80	8	cvc-612	cvc-612	NOUN
ajst-20217	80	9	,	,	PUNCT
ajst-20217	80	10	contains	contain	VERB
ajst-20217	80	11	612	612	NUM
ajst-20217	80	12	images	image	NOUN
ajst-20217	80	13	taken	take	VERB
ajst-20217	80	14	from	from	ADP
ajst-20217	80	15	31	31	NUM
ajst-20217	80	16	colonoscopy	colonoscopy	NOUN
ajst-20217	80	17	video	video	NOUN
ajst-20217	80	18	sequences	sequence	NOUN
ajst-20217	80	19	with	with	ADP
ajst-20217	80	20	an	an	DET
ajst-20217	80	21	input	input	NOUN
ajst-20217	80	22	size	size	NOUN
ajst-20217	80	23	of	of	ADP
ajst-20217	80	24	384×288	384×288	NUM
ajst-20217	80	25	.	.	PUNCT
ajst-20217	81	1	cvc	cvc	NOUN
ajst-20217	81	2	-	-	PUNCT
ajst-20217	81	3	colondb	colondb	NOUN
ajst-20217	81	4	contains	contain	VERB
ajst-20217	81	5	380	380	NUM
ajst-20217	81	6	images	image	NOUN
ajst-20217	81	7	,	,	PUNCT
ajst-20217	81	8	mainly	mainly	ADV
ajst-20217	81	9	from	from	ADP
ajst-20217	81	10	15	15	NUM
ajst-20217	81	11	short	short	ADJ
ajst-20217	81	12	colonoscopy	colonoscopy	NOUN
ajst-20217	81	13	video	video	NOUN
ajst-20217	81	14	sequences	sequence	NOUN
ajst-20217	81	15	,	,	PUNCT
ajst-20217	81	16	with	with	ADP
ajst-20217	81	17	an	an	DET
ajst-20217	81	18	input	input	NOUN
ajst-20217	81	19	image	image	NOUN
ajst-20217	81	20	size	size	NOUN
ajst-20217	81	21	of	of	ADP
ajst-20217	81	22	574×500	574×500	NUM
ajst-20217	81	23	.	.	PUNCT
ajst-20217	82	1	endoscene	endoscene	PROPN
ajst-20217	82	2	is	be	AUX
ajst-20217	82	3	a	a	DET
ajst-20217	82	4	combination	combination	NOUN
ajst-20217	82	5	of	of	ADP
ajst-20217	82	6	cvc-612	cvc-612	NOUN
ajst-20217	82	7	and	and	CCONJ
ajst-20217	82	8	cvc-300	cvc-300	VERB
ajst-20217	82	9	,	,	PUNCT
ajst-20217	82	10	which	which	PRON
ajst-20217	82	11	is	be	AUX
ajst-20217	82	12	divided	divide	VERB
ajst-20217	82	13	into	into	ADP
ajst-20217	82	14	training	training	NOUN
ajst-20217	82	15	and	and	CCONJ
ajst-20217	82	16	test	test	NOUN
ajst-20217	82	17	sets	set	NOUN
ajst-20217	82	18	as	as	SCONJ
ajst-20217	82	19	used	use	VERB
ajst-20217	82	20	by	by	ADP
ajst-20217	82	21	fang	fang	PROPN
ajst-20217	82	22	et	et	PROPN
ajst-20217	82	23	al	al	PROPN
ajst-20217	82	24	.	.	PUNCT
ajst-20217	83	1	[	[	X
ajst-20217	83	2	66	66	NUM
ajst-20217	83	3	]	]	PUNCT
ajst-20217	83	4	,	,	PUNCT
ajst-20217	83	5	but	but	CCONJ
ajst-20217	83	6	since	since	SCONJ
ajst-20217	83	7	cvc-612	cvc-612	NOUN
ajst-20217	83	8	has	have	AUX
ajst-20217	83	9	already	already	ADV
ajst-20217	83	10	been	be	AUX
ajst-20217	83	11	used	use	VERB
ajst-20217	83	12	to	to	PART
ajst-20217	83	13	train	train	VERB
ajst-20217	83	14	the	the	DET
ajst-20217	83	15	model	model	NOUN
ajst-20217	83	16	,	,	PUNCT
ajst-20217	83	17	here	here	ADV
ajst-20217	83	18	we	we	PRON
ajst-20217	83	19	only	only	ADV
ajst-20217	83	20	use	use	VERB
ajst-20217	83	21	the	the	DET
ajst-20217	83	22	cvc-300	cvc-300	VERB
ajst-20217	83	23	test	test	NOUN
ajst-20217	83	24	set	set	NOUN
ajst-20217	83	25	.	.	PUNCT
ajst-20217	84	1	the	the	DET
ajst-20217	84	2	kvasir	kvasir	PROPN
ajst-20217	84	3	dataset	dataset	PROPN
ajst-20217	84	4	contains	contain	VERB
ajst-20217	84	5	1000	1000	NUM
ajst-20217	84	6	images	image	NOUN
ajst-20217	84	7	with	with	ADP
ajst-20217	84	8	an	an	DET
ajst-20217	84	9	image	image	NOUN
ajst-20217	84	10	size	size	NOUN
ajst-20217	84	11	of	of	ADP
ajst-20217	84	12	626×546	626×546	NUM
ajst-20217	84	13	.	.	PUNCT
ajst-20217	85	1	in	in	ADP
ajst-20217	85	2	this	this	DET
ajst-20217	85	3	paper	paper	NOUN
ajst-20217	85	4	,	,	PUNCT
ajst-20217	85	5	this	this	DET
ajst-20217	85	6	5	5	NUM
ajst-20217	85	7	dataset	dataset	NOUN
ajst-20217	85	8	is	be	AUX
ajst-20217	85	9	used	use	VERB
ajst-20217	85	10	in	in	ADP
ajst-20217	85	11	the	the	DET
ajst-20217	85	12	same	same	ADJ
ajst-20217	85	13	way	way	NOUN
ajst-20217	85	14	as	as	ADP
ajst-20217	85	15	fan	fan	NOUN
ajst-20217	85	16	et	et	PROPN
ajst-20217	85	17	al	al	PROPN
ajst-20217	85	18	.	.	PUNCT
ajst-20217	86	1	[	[	X
ajst-20217	86	2	4	4	NUM
ajst-20217	86	3	]	]	PUNCT
ajst-20217	86	4	,	,	PUNCT
ajst-20217	86	5	where	where	SCONJ
ajst-20217	86	6	90	90	NUM
ajst-20217	86	7	%	%	NOUN
ajst-20217	86	8	of	of	ADP
ajst-20217	86	9	the	the	DET
ajst-20217	86	10	images	image	NOUN
ajst-20217	86	11	in	in	ADP
ajst-20217	86	12	the	the	DET
ajst-20217	86	13	training	training	NOUN
ajst-20217	86	14	set	set	NOUN
ajst-20217	86	15	are	be	AUX
ajst-20217	86	16	drawn	draw	VERB
ajst-20217	86	17	from	from	ADP
ajst-20217	86	18	the	the	DET
ajst-20217	86	19	kvasir	kvasir	NOUN
ajst-20217	86	20	and	and	CCONJ
ajst-20217	86	21	cvc	cvc	NOUN
ajst-20217	86	22	-	-	PUNCT
ajst-20217	86	23	clinicdb	clinicdb	NOUN
ajst-20217	86	24	datasets	dataset	NOUN
ajst-20217	86	25	,	,	PUNCT
ajst-20217	86	26	and	and	CCONJ
ajst-20217	86	27	the	the	DET
ajst-20217	86	28	remaining	remain	VERB
ajst-20217	86	29	10	10	NUM
ajst-20217	86	30	%	%	NOUN
ajst-20217	86	31	are	be	AUX
ajst-20217	86	32	used	use	VERB
ajst-20217	86	33	for	for	ADP
ajst-20217	86	34	testing	testing	NOUN
ajst-20217	86	35	.	.	PUNCT
ajst-20217	87	1	the	the	DET
ajst-20217	87	2	trained	train	VERB
ajst-20217	87	3	model	model	NOUN
ajst-20217	87	4	is	be	AUX
ajst-20217	87	5	also	also	ADV
ajst-20217	87	6	tested	test	VERB
ajst-20217	87	7	on	on	ADP
ajst-20217	87	8	three	three	NUM
ajst-20217	87	9	never	never	ADV
ajst-20217	87	10	-	-	PUNCT
ajst-20217	87	11	before	before	ADV
ajst-20217	87	12	-	-	PUNCT
ajst-20217	87	13	seen	see	VERB
ajst-20217	87	14	datasets	dataset	NOUN
ajst-20217	87	15	,	,	PUNCT
ajst-20217	87	16	i.e.	i.e.	X
ajst-20217	87	17	,	,	PUNCT
ajst-20217	87	18	cvccolondb	cvccolondb	NOUN
ajst-20217	87	19	,	,	PUNCT
ajst-20217	87	20	etis	etis	NOUN
ajst-20217	87	21	-	-	PUNCT
ajst-20217	87	22	laribdb	laribdb	NOUN
ajst-20217	87	23	,	,	PUNCT
ajst-20217	87	24	and	and	CCONJ
ajst-20217	87	25	cvc-300	cvc-300	VERB
ajst-20217	87	26	test	test	NOUN
ajst-20217	87	27	set	set	NOUN
ajst-20217	87	28	,	,	PUNCT
ajst-20217	87	29	so	so	SCONJ
ajst-20217	87	30	as	as	SCONJ
ajst-20217	87	31	to	to	PART
ajst-20217	87	32	validate	validate	VERB
ajst-20217	87	33	the	the	DET
ajst-20217	87	34	generalization	generalization	NOUN
ajst-20217	87	35	performance	performance	NOUN
ajst-20217	87	36	of	of	ADP
ajst-20217	87	37	the	the	DET
ajst-20217	87	38	network	network	NOUN
ajst-20217	87	39	.	.	PUNCT
ajst-20217	88	1	for	for	ADP
ajst-20217	88	2	the	the	DET
ajst-20217	88	3	image	image	NOUN
ajst-20217	88	4	input	input	NOUN
ajst-20217	88	5	for	for	ADP
ajst-20217	88	6	the	the	DET
ajst-20217	88	7	network	network	NOUN
ajst-20217	88	8	,	,	PUNCT
ajst-20217	88	9	we	we	PRON
ajst-20217	88	10	uniformly	uniformly	ADV
ajst-20217	88	11	use	use	VERB
ajst-20217	88	12	352×352	352×352	NUM
ajst-20217	88	13	.	.	PROPN
ajst-20217	88	14	3.2	3.2	NUM
ajst-20217	88	15	.	.	PUNCT
ajst-20217	89	1	implementations	implementation	NOUN
ajst-20217	89	2	details	detail	NOUN
ajst-20217	89	3	.	.	PUNCT
ajst-20217	90	1	the	the	DET
ajst-20217	90	2	methodology	methodology	NOUN
ajst-20217	90	3	used	use	VERB
ajst-20217	90	4	in	in	ADP
ajst-20217	90	5	this	this	DET
ajst-20217	90	6	paper	paper	NOUN
ajst-20217	90	7	is	be	AUX
ajst-20217	90	8	based	base	VERB
ajst-20217	90	9	on	on	ADP
ajst-20217	90	10	the	the	DET
ajst-20217	90	11	pytorch	pytorch	NOUN
ajst-20217	90	12	1.13.1	1.13.1	NUM
ajst-20217	90	13	implementation	implementation	NOUN
ajst-20217	90	14	and	and	CCONJ
ajst-20217	90	15	utilizes	utilize	VERB
ajst-20217	90	16	nvidia	nvidia	PROPN
ajst-20217	90	17	rtx	rtx	PROPN
ajst-20217	90	18	3090	3090	NUM
ajst-20217	90	19	gpus	gpu	NOUN
ajst-20217	90	20	for	for	ADP
ajst-20217	90	21	training	training	NOUN
ajst-20217	90	22	.	.	PUNCT
ajst-20217	91	1	we	we	PRON
ajst-20217	91	2	used	use	VERB
ajst-20217	91	3	a	a	DET
ajst-20217	91	4	small	small	ADJ
ajst-20217	91	5	batch	batch	NOUN
ajst-20217	91	6	adam	adam	NOUN
ajst-20217	91	7	optimizer	optimizer	NOUN
ajst-20217	91	8	with	with	ADP
ajst-20217	91	9	momentum	momentum	NOUN
ajst-20217	91	10	set	set	VERB
ajst-20217	91	11	to	to	ADP
ajst-20217	91	12	0.9	0.9	NUM
ajst-20217	91	13	to	to	PART
ajst-20217	91	14	achieve	achieve	VERB
ajst-20217	91	15	optimization	optimization	NOUN
ajst-20217	91	16	of	of	ADP
ajst-20217	91	17	the	the	DET
ajst-20217	91	18	entire	entire	ADJ
ajst-20217	91	19	end	end	NOUN
ajst-20217	91	20	-	-	PUNCT
ajst-20217	91	21	to	to	ADP
ajst-20217	91	22	-	-	PUNCT
ajst-20217	91	23	end	end	NOUN
ajst-20217	91	24	network	network	NOUN
ajst-20217	91	25	.	.	PUNCT
ajst-20217	92	1	before	before	ADP
ajst-20217	92	2	inputting	inputte	VERB
ajst-20217	92	3	the	the	DET
ajst-20217	92	4	network	network	NOUN
ajst-20217	92	5	,	,	PUNCT
ajst-20217	92	6	the	the	DET
ajst-20217	92	7	images	image	NOUN
ajst-20217	92	8	were	be	AUX
ajst-20217	92	9	resized	resize	VERB
ajst-20217	92	10	to	to	ADP
ajst-20217	92	11	a	a	DET
ajst-20217	92	12	size	size	NOUN
ajst-20217	92	13	of	of	ADP
ajst-20217	92	14	352	352	NUM
ajst-20217	92	15	×	×	NOUN
ajst-20217	92	16	352	352	NUM
ajst-20217	92	17	.	.	PUNCT
ajst-20217	93	1	the	the	DET
ajst-20217	93	2	batch	batch	NOUN
ajst-20217	93	3	size	size	NOUN
ajst-20217	93	4	was	be	AUX
ajst-20217	93	5	set	set	VERB
ajst-20217	93	6	to	to	ADP
ajst-20217	93	7	16	16	NUM
ajst-20217	93	8	.	.	PUNCT
ajst-20217	94	1	all	all	DET
ajst-20217	94	2	models	model	NOUN
ajst-20217	94	3	were	be	AUX
ajst-20217	94	4	trained	train	VERB
ajst-20217	94	5	for	for	ADP
ajst-20217	94	6	120	120	NUM
ajst-20217	94	7	cycles	cycle	NOUN
ajst-20217	94	8	with	with	ADP
ajst-20217	94	9	an	an	DET
ajst-20217	94	10	initial	initial	ADJ
ajst-20217	94	11	learning	learning	NOUN
ajst-20217	94	12	rate	rate	NOUN
ajst-20217	94	13	of	of	ADP
ajst-20217	94	14	0.0001	0.0001	NUM
ajst-20217	94	15	.	.	PUNCT
ajst-20217	95	1	we	we	PRON
ajst-20217	95	2	used	use	VERB
ajst-20217	95	3	the	the	DET
ajst-20217	95	4	pre	pre	ADJ
ajst-20217	95	5	-	-	ADJ
ajst-20217	95	6	trained	train	VERB
ajst-20217	95	7	weights	weight	NOUN
ajst-20217	95	8	from	from	ADP
ajst-20217	95	9	imagenet	imagenet	NOUN
ajst-20217	95	10	for	for	ADP
ajst-20217	95	11	the	the	DET
ajst-20217	95	12	backbone	backbone	NOUN
ajst-20217	95	13	networks	network	NOUN
ajst-20217	95	14	.	.	PUNCT
ajst-20217	96	1	to	to	PART
ajst-20217	96	2	increase	increase	VERB
ajst-20217	96	3	the	the	DET
ajst-20217	96	4	diversity	diversity	NOUN
ajst-20217	96	5	of	of	ADP
ajst-20217	96	6	samples	sample	NOUN
ajst-20217	96	7	,	,	PUNCT
ajst-20217	96	8	two	two	NUM
ajst-20217	96	9	data	data	NOUN
ajst-20217	96	10	enhancement	enhancement	NOUN
ajst-20217	96	11	strategies	strategy	NOUN
ajst-20217	96	12	were	be	AUX
ajst-20217	96	13	used	use	VERB
ajst-20217	96	14	,	,	PUNCT
ajst-20217	96	15	including	include	VERB
ajst-20217	96	16	randomly	randomly	ADV
ajst-20217	96	17	flipping	flip	VERB
ajst-20217	96	18	the	the	DET
ajst-20217	96	19	input	input	NOUN
ajst-20217	96	20	images	image	NOUN
ajst-20217	96	21	vertically	vertically	ADV
ajst-20217	96	22	and	and	CCONJ
ajst-20217	96	23	horizontally	horizontally	ADV
ajst-20217	96	24	and	and	CCONJ
ajst-20217	96	25	randomly	randomly	ADV
ajst-20217	96	26	rotating	rotate	VERB
ajst-20217	96	27	the	the	DET
ajst-20217	96	28	images	image	NOUN
ajst-20217	96	29	by	by	ADP
ajst-20217	96	30	90	90	NUM
ajst-20217	96	31	degrees	degree	NOUN
ajst-20217	96	32	.	.	PUNCT
ajst-20217	97	1	in	in	ADP
ajst-20217	97	2	the	the	DET
ajst-20217	97	3	testing	testing	NOUN
ajst-20217	97	4	phase	phase	NOUN
ajst-20217	97	5	,	,	PUNCT
ajst-20217	97	6	this	this	DET
ajst-20217	97	7	paper	paper	NOUN
ajst-20217	97	8	does	do	AUX
ajst-20217	97	9	not	not	PART
ajst-20217	97	10	use	use	VERB
ajst-20217	97	11	any	any	DET
ajst-20217	97	12	data	data	NOUN
ajst-20217	97	13	enhancement	enhancement	NOUN
ajst-20217	97	14	or	or	CCONJ
ajst-20217	97	15	post	post	ADJ
ajst-20217	97	16	-	-	ADJ
ajst-20217	97	17	processing	processing	NOUN
ajst-20217	97	18	.	.	PUNCT
ajst-20217	98	1	the	the	DET
ajst-20217	98	2	model	model	NOUN
ajst-20217	98	3	uses	use	VERB
ajst-20217	98	4	a	a	DET
ajst-20217	98	5	multi	multi	ADJ
ajst-20217	98	6	-	-	ADJ
ajst-20217	98	7	stage	stage	ADJ
ajst-20217	98	8	loss	loss	NOUN
ajst-20217	98	9	function	function	NOUN
ajst-20217	98	10	to	to	PART
ajst-20217	98	11	train	train	VERB
ajst-20217	98	12	the	the	DET
ajst-20217	98	13	network	network	NOUN
ajst-20217	98	14	,	,	PUNCT
ajst-20217	98	15	which	which	PRON
ajst-20217	98	16	is	be	AUX
ajst-20217	98	17	calculated	calculate	VERB
ajst-20217	98	18	as	as	SCONJ
ajst-20217	98	19	follows	follow	VERB
ajst-20217	98	20	:	:	PUNCT
ajst-20217	98	21	1	1	NUM
ajst-20217	98	22	2	2	NUM
ajst-20217	98	23	3	3	NUM
ajst-20217	98	24	4×	4×	NOUN
ajst-20217	98	25	×	×	NOUN
ajst-20217	98	26	×	×	NOUN
ajst-20217	98	27	×x	×x	VERB
ajst-20217	98	28	x	x	SYM
ajst-20217	98	29	x	x	PUNCT
ajst-20217	98	30	xloss	xloss	NOUN
ajst-20217	98	31	loss	loss	NOUN
ajst-20217	98	32	loss	loss	NOUN
ajst-20217	98	33	loss	loss	NOUN
ajst-20217	98	34	loss	loss	NOUN
ajst-20217	98	35			NOUN
ajst-20217	98	36			NOUN
ajst-20217	98	37			PUNCT
ajst-20217	98	38			PROPN
ajst-20217	98	39			ADV
ajst-20217	98	40			PUNCT
ajst-20217	98	41	，	，	PUNCT
ajst-20217	98	42	(	(	PUNCT
ajst-20217	98	43	3	3	X
ajst-20217	98	44	)	)	PUNCT
ajst-20217	98	45	where	where	SCONJ
ajst-20217	98	46	x1	x1	ADJ
ajst-20217	98	47	,	,	PUNCT
ajst-20217	98	48	x2	x2	PROPN
ajst-20217	98	49	,	,	PUNCT
ajst-20217	98	50	x3	x3	ADJ
ajst-20217	98	51	,	,	PUNCT
ajst-20217	98	52	and	and	CCONJ
ajst-20217	98	53	x4	x4	PROPN
ajst-20217	98	54	are	be	AUX
ajst-20217	98	55	the	the	DET
ajst-20217	98	56	feature	feature	NOUN
ajst-20217	98	57	maps	map	NOUN
ajst-20217	98	58	of	of	ADP
ajst-20217	98	59	the	the	DET
ajst-20217	98	60	four	four	NUM
ajst-20217	98	61	predictor	predictor	NOUN
ajst-20217	98	62	heads	head	NOUN
ajst-20217	98	63	;	;	PUNCT
ajst-20217	98	64	and	and	CCONJ
ajst-20217	98	65	the	the	DET
ajst-20217	98	66	losses	loss	NOUN
ajst-20217	98	67	of	of	ADP
ajst-20217	98	68	the	the	DET
ajst-20217	98	69	four	four	NUM
ajst-20217	98	70	predictor	predictor	NOUN
ajst-20217	98	71	heads	head	NOUN
ajst-20217	98	72	are	be	AUX
ajst-20217	98	73	calculated	calculate	VERB
ajst-20217	98	74	as	as	ADP
ajst-20217	98	75	1xloss	1xloss	NUM
ajst-20217	98	76	,	,	PUNCT
ajst-20217	98	77	2xloss	2xloss	NUM
ajst-20217	98	78	,	,	PUNCT
ajst-20217	98	79	3xloss	3xloss	NUM
ajst-20217	98	80	,	,	PUNCT
ajst-20217	98	81	and	and	CCONJ
ajst-20217	98	82	4xloss	4xloss	NUM
ajst-20217	98	83	,	,	PUNCT
ajst-20217	98	84	respectively.	respectively.	PROPN
ajst-20217	98	85	,	,	PUNCT
ajst-20217	98	86			NOUN
ajst-20217	98	87	,	,	PUNCT
ajst-20217	98	88			NOUN
ajst-20217	98	89	,	,	PUNCT
ajst-20217	98	90	and	and	CCONJ
ajst-20217	98	91			PROPN
ajst-20217	98	92	are	be	AUX
ajst-20217	98	93	the	the	DET
ajst-20217	98	94	weights	weight	NOUN
ajst-20217	98	95	of	of	ADP
ajst-20217	98	96	the	the	DET
ajst-20217	98	97	losses	loss	NOUN
ajst-20217	98	98	of	of	ADP
ajst-20217	98	99	each	each	DET
ajst-20217	98	100	predictor	predictor	NOUN
ajst-20217	98	101	head	head	NOUN
ajst-20217	98	102	;	;	PUNCT
ajst-20217	98	103			X
ajst-20217	98	104	,	,	PUNCT
ajst-20217	98	105			NOUN
ajst-20217	98	106	,	,	PUNCT
ajst-20217	98	107			NOUN
ajst-20217	98	108	,	,	PUNCT
ajst-20217	98	109	and	and	CCONJ
ajst-20217	98	110			PROPN
ajst-20217	98	111	are	be	AUX
ajst-20217	98	112	set	set	VERB
ajst-20217	98	113	to	to	ADP
ajst-20217	98	114	1	1	NUM
ajst-20217	98	115	in	in	ADP
ajst-20217	98	116	the	the	DET
ajst-20217	98	117	experiment	experiment	NOUN
ajst-20217	98	118	.	.	PUNCT
ajst-20217	99	1	3.3	3.3	NUM
ajst-20217	99	2	.	.	PUNCT
ajst-20217	99	3	results	result	NOUN
ajst-20217	99	4	.	.	PUNCT
ajst-20217	100	1	in	in	ADP
ajst-20217	100	2	this	this	DET
ajst-20217	100	3	study	study	NOUN
ajst-20217	100	4	,	,	PUNCT
ajst-20217	100	5	common	common	ADJ
ajst-20217	100	6	medical	medical	ADJ
ajst-20217	100	7	image	image	NOUN
ajst-20217	100	8	segmentation	segmentation	NOUN
ajst-20217	100	9	models	model	NOUN
ajst-20217	100	10	such	such	ADJ
ajst-20217	100	11	as	as	ADP
ajst-20217	100	12	u	u	NOUN
ajst-20217	100	13	-	-	NOUN
ajst-20217	100	14	net	net	ADJ
ajst-20217	100	15	[	[	X
ajst-20217	100	16	1	1	NUM
ajst-20217	100	17	]	]	PUNCT
ajst-20217	100	18	,	,	PUNCT
ajst-20217	100	19	u	u	NOUN
ajst-20217	100	20	-	-	NOUN
ajst-20217	100	21	net++	net++	PROPN
ajst-20217	101	1	[	[	X
ajst-20217	101	2	17	17	NUM
ajst-20217	101	3	]	]	PUNCT
ajst-20217	101	4	,	,	PUNCT
ajst-20217	101	5	pranet	pranet	NOUN
ajst-20217	101	6	[	[	X
ajst-20217	101	7	4	4	NUM
ajst-20217	101	8	]	]	PUNCT
ajst-20217	101	9	,	,	PUNCT
ajst-20217	101	10	transunet	transunet	PROPN
ajst-20217	102	1	[	[	X
ajst-20217	102	2	18	18	NUM
ajst-20217	102	3	]	]	PUNCT
ajst-20217	102	4	,	,	PUNCT
ajst-20217	102	5	sanet	sanet	NOUN
ajst-20217	102	6	[	[	X
ajst-20217	102	7	19	19	NUM
ajst-20217	102	8	]	]	PUNCT
ajst-20217	102	9	,	,	PUNCT
ajst-20217	102	10	sfa	sfa	PROPN
ajst-20217	103	1	[	[	X
ajst-20217	103	2	20	20	NUM
ajst-20217	103	3	]	]	PUNCT
ajst-20217	103	4	,	,	PUNCT
ajst-20217	103	5	and	and	CCONJ
ajst-20217	103	6	eu	eu	PROPN
ajst-20217	103	7	-	-	NOUN
ajst-20217	103	8	net	net	ADJ
ajst-20217	103	9	[	[	X
ajst-20217	103	10	21	21	NUM
ajst-20217	103	11	]	]	PUNCT
ajst-20217	103	12	were	be	AUX
ajst-20217	103	13	used	use	VERB
ajst-20217	103	14	for	for	ADP
ajst-20217	103	15	quantitative	quantitative	ADJ
ajst-20217	103	16	comparison	comparison	NOUN
ajst-20217	103	17	.	.	PUNCT
ajst-20217	104	1	among	among	ADP
ajst-20217	104	2	them	they	PRON
ajst-20217	104	3	,	,	PUNCT
ajst-20217	104	4	u	u	NOUN
ajst-20217	104	5	-	-	NOUN
ajst-20217	104	6	net	net	ADJ
ajst-20217	104	7	and	and	CCONJ
ajst-20217	104	8	u	u	NOUN
ajst-20217	104	9	-	-	NOUN
ajst-20217	104	10	net++	net++	PROPN
ajst-20217	104	11	are	be	AUX
ajst-20217	104	12	the	the	DET
ajst-20217	104	13	common	common	ADJ
ajst-20217	104	14	models	model	NOUN
ajst-20217	104	15	for	for	ADP
ajst-20217	104	16	medical	medical	ADJ
ajst-20217	104	17	segmentation	segmentation	NOUN
ajst-20217	104	18	,	,	PUNCT
ajst-20217	104	19	and	and	CCONJ
ajst-20217	104	20	their	their	PRON
ajst-20217	104	21	yu	yu	PROPN
ajst-20217	104	22	methods	method	NOUN
ajst-20217	104	23	are	be	AUX
ajst-20217	104	24	all	all	PRON
ajst-20217	104	25	polyp	polyp	NOUN
ajst-20217	104	26	segmentation	segmentation	NOUN
ajst-20217	104	27	methods	method	NOUN
ajst-20217	104	28	.	.	PUNCT
ajst-20217	105	1	the	the	DET
ajst-20217	105	2	segmentation	segmentation	NOUN
ajst-20217	105	3	results	result	NOUN
ajst-20217	105	4	of	of	ADP
ajst-20217	105	5	the	the	DET
ajst-20217	105	6	polyp	polyp	NOUN
ajst-20217	105	7	segmentation	segmentation	NOUN
ajst-20217	105	8	method	method	NOUN
ajst-20217	105	9	proposed	propose	VERB
ajst-20217	105	10	in	in	ADP
ajst-20217	105	11	this	this	DET
ajst-20217	105	12	study	study	NOUN
ajst-20217	105	13	with	with	ADP
ajst-20217	105	14	other	other	ADJ
ajst-20217	105	15	methods	method	NOUN
ajst-20217	105	16	on	on	ADP
ajst-20217	105	17	five	five	NUM
ajst-20217	105	18	publicly	publicly	ADV
ajst-20217	105	19	available	available	ADJ
ajst-20217	105	20	datasets	dataset	NOUN
ajst-20217	105	21	are	be	AUX
ajst-20217	105	22	presented	present	VERB
ajst-20217	105	23	in	in	ADP
ajst-20217	105	24	table	table	NOUN
ajst-20217	105	25	1	1	NUM
ajst-20217	105	26	.	.	PUNCT
ajst-20217	106	1	through	through	ADP
ajst-20217	106	2	table	table	NOUN
ajst-20217	106	3	1	1	NUM
ajst-20217	106	4	,	,	PUNCT
ajst-20217	106	5	it	it	PRON
ajst-20217	106	6	can	can	AUX
ajst-20217	106	7	be	be	AUX
ajst-20217	106	8	observed	observe	VERB
ajst-20217	106	9	that	that	SCONJ
ajst-20217	106	10	the	the	DET
ajst-20217	106	11	polyp	polyp	NOUN
ajst-20217	106	12	segmentation	segmentation	NOUN
ajst-20217	106	13	network	network	NOUN
ajst-20217	106	14	proposed	propose	VERB
ajst-20217	106	15	in	in	ADP
ajst-20217	106	16	this	this	DET
ajst-20217	106	17	study	study	NOUN
ajst-20217	106	18	shows	show	VERB
ajst-20217	106	19	excellent	excellent	ADJ
ajst-20217	106	20	learning	learning	NOUN
ajst-20217	106	21	ability	ability	NOUN
ajst-20217	106	22	on	on	ADP
ajst-20217	106	23	kvasir	kvasir	NOUN
ajst-20217	106	24	and	and	CCONJ
ajst-20217	106	25	cvc	cvc	NOUN
ajst-20217	106	26	-	-	PUNCT
ajst-20217	106	27	clinicdb	clinicdb	NOUN
ajst-20217	106	28	datasets	dataset	NOUN
ajst-20217	106	29	and	and	CCONJ
ajst-20217	106	30	basically	basically	ADV
ajst-20217	106	31	achieves	achieve	VERB
ajst-20217	106	32	the	the	DET
ajst-20217	106	33	best	good	ADJ
ajst-20217	106	34	results	result	NOUN
ajst-20217	106	35	in	in	ADP
ajst-20217	106	36	segmentation	segmentation	NOUN
ajst-20217	106	37	results	result	NOUN
ajst-20217	106	38	.	.	PUNCT
ajst-20217	107	1	only	only	ADV
ajst-20217	107	2	on	on	ADP
ajst-20217	107	3	the	the	DET
ajst-20217	107	4	cvcclinicdb	cvcclinicdb	NOUN
ajst-20217	107	5	dataset	dataset	NOUN
ajst-20217	107	6	,	,	PUNCT
ajst-20217	107	7	the	the	DET
ajst-20217	107	8	method	method	NOUN
ajst-20217	107	9	slightly	slightly	ADV
ajst-20217	107	10	underperforms	underperform	VERB
ajst-20217	107	11	sanet	sanet	NOUN
ajst-20217	107	12	by	by	ADP
ajst-20217	107	13	0.6	0.6	NUM
ajst-20217	107	14	in	in	ADP
ajst-20217	107	15	terms	term	NOUN
ajst-20217	107	16	of	of	ADP
ajst-20217	107	17	the	the	DET
ajst-20217	107	18	dice	dice	NOUN
ajst-20217	107	19	index	index	NOUN
ajst-20217	107	20	and	and	CCONJ
ajst-20217	107	21	outperforms	outperform	VERB
ajst-20217	107	22	the	the	DET
ajst-20217	107	23	secondranked	secondranked	ADJ
ajst-20217	107	24	eu	eu	NOUN
ajst-20217	107	25	-	-	NOUN
ajst-20217	107	26	net	net	ADJ
ajst-20217	107	27	by	by	ADP
ajst-20217	107	28	1.3	1.3	NUM
ajst-20217	107	29	in	in	ADP
ajst-20217	107	30	terms	term	NOUN
ajst-20217	107	31	of	of	ADP
ajst-20217	107	32	the	the	DET
ajst-20217	107	33	dice	dice	NOUN
ajst-20217	107	34	index	index	NOUN
ajst-20217	107	35	on	on	ADP
ajst-20217	107	36	the	the	DET
ajst-20217	107	37	kvasir	kvasir	PROPN
ajst-20217	107	38	dataset	dataset	VERB
ajst-20217	107	39	.	.	PUNCT
ajst-20217	108	1	similarly	similarly	ADV
ajst-20217	108	2	,	,	PUNCT
ajst-20217	108	3	we	we	PRON
ajst-20217	108	4	can	can	AUX
ajst-20217	108	5	compare	compare	VERB
ajst-20217	108	6	the	the	DET
ajst-20217	108	7	other	other	ADJ
ajst-20217	108	8	three	three	NUM
ajst-20217	108	9	datasets	dataset	NOUN
ajst-20217	108	10	and	and	CCONJ
ajst-20217	108	11	observe	observe	VERB
ajst-20217	108	12	that	that	SCONJ
ajst-20217	108	13	our	our	PRON
ajst-20217	108	14	proposed	propose	VERB
ajst-20217	108	15	polyp	polyp	NOUN
ajst-20217	108	16	segmentation	segmentation	NOUN
ajst-20217	108	17	network	network	NOUN
ajst-20217	108	18	also	also	ADV
ajst-20217	108	19	has	have	VERB
ajst-20217	108	20	a	a	DET
ajst-20217	108	21	very	very	ADV
ajst-20217	108	22	good	good	ADJ
ajst-20217	108	23	generalizability	generalizability	NOUN
ajst-20217	108	24	.	.	PUNCT
ajst-20217	109	1	good	good	ADJ
ajst-20217	109	2	results	result	NOUN
ajst-20217	109	3	are	be	AUX
ajst-20217	109	4	obtained	obtain	VERB
ajst-20217	109	5	on	on	ADP
ajst-20217	109	6	three	three	NUM
ajst-20217	109	7	unseen	unseen	ADJ
ajst-20217	109	8	datasets	dataset	NOUN
ajst-20217	109	9	,	,	PUNCT
ajst-20217	109	10	colondb	colondb	NOUN
ajst-20217	109	11	,	,	PUNCT
ajst-20217	109	12	etis	etis	NOUN
ajst-20217	109	13	and	and	CCONJ
ajst-20217	109	14	cvc-300	cvc-300	VERB
ajst-20217	109	15	,	,	PUNCT
ajst-20217	109	16	and	and	CCONJ
ajst-20217	109	17	optimal	optimal	ADJ
ajst-20217	109	18	results	result	NOUN
ajst-20217	109	19	are	be	AUX
ajst-20217	109	20	obtained	obtain	VERB
ajst-20217	109	21	on	on	ADP
ajst-20217	109	22	all	all	DET
ajst-20217	109	23	three	three	NUM
ajst-20217	109	24	datasets	dataset	NOUN
ajst-20217	109	25	.	.	PUNCT
ajst-20217	110	1	for	for	ADP
ajst-20217	110	2	example	example	NOUN
ajst-20217	110	3	,	,	PUNCT
ajst-20217	110	4	on	on	ADP
ajst-20217	110	5	the	the	DET
ajst-20217	110	6	dice	dice	NOUN
ajst-20217	110	7	metric	metric	NOUN
ajst-20217	110	8	of	of	ADP
ajst-20217	110	9	the	the	DET
ajst-20217	110	10	colondb	colondb	NOUN
ajst-20217	110	11	dataset	dataset	PROPN
ajst-20217	110	12	,	,	PUNCT
ajst-20217	110	13	the	the	DET
ajst-20217	110	14	method	method	NOUN
ajst-20217	110	15	in	in	ADP
ajst-20217	110	16	this	this	DET
ajst-20217	110	17	paper	paper	NOUN
ajst-20217	110	18	outperforms	outperform	VERB
ajst-20217	110	19	the	the	DET
ajst-20217	110	20	194	194	NUM
ajst-20217	110	21	table	table	NOUN
ajst-20217	110	22	1	1	NUM
ajst-20217	110	23	.	.	PUNCT
ajst-20217	110	24	quantitative	quantitative	ADJ
ajst-20217	110	25	results	result	NOUN
ajst-20217	110	26	for	for	SCONJ
ajst-20217	110	27	the	the	DET
ajst-20217	110	28	polyp	polyp	NOUN
ajst-20217	110	29	dataset	dataset	NOUN
ajst-20217	110	30	,	,	PUNCT
ajst-20217	110	31	with	with	ADP
ajst-20217	110	32	the	the	DET
ajst-20217	110	33	best	good	ADJ
ajst-20217	110	34	results	result	NOUN
ajst-20217	110	35	in	in	ADP
ajst-20217	110	36	bold	bold	ADJ
ajst-20217	110	37	and	and	CCONJ
ajst-20217	110	38	the	the	DET
ajst-20217	110	39	second	second	ADJ
ajst-20217	110	40	best	good	ADJ
ajst-20217	110	41	results	result	NOUN
ajst-20217	110	42	in	in	ADP
ajst-20217	110	43	italics	italic	NOUN
ajst-20217	110	44	.	.	PUNCT
ajst-20217	111	1	methods	method	NOUN
ajst-20217	111	2	endoscene	endoscene	VERB
ajst-20217	111	3	cvc	cvc	PROPN
ajst-20217	111	4	-	-	PUNCT
ajst-20217	111	5	clinicdb	clinicdb	PROPN
ajst-20217	111	6	kvasir	kvasir	PROPN
ajst-20217	111	7	colondb	colondb	VERB
ajst-20217	111	8	etis	etis	NOUN
ajst-20217	111	9	-	-	PUNCT
ajst-20217	111	10	laribdb	laribdb	NOUN
ajst-20217	111	11	mdice	mdice	NOUN
ajst-20217	111	12	miou	miou	PROPN
ajst-20217	111	13	mdice	mdice	PROPN
ajst-20217	111	14	miou	miou	PROPN
ajst-20217	111	15	mdice	mdice	PROPN
ajst-20217	111	16	miou	miou	PROPN
ajst-20217	111	17	mdice	mdice	PROPN
ajst-20217	111	18	miou	miou	PROPN
ajst-20217	111	19	mdice	mdice	PROPN
ajst-20217	111	20	miou	miou	PROPN
ajst-20217	111	21	u	u	PROPN
ajst-20217	111	22	-	-	PROPN
ajst-20217	111	23	net[1	net[1	NUM
ajst-20217	111	24	]	]	X
ajst-20217	111	25	71.0	71.0	NUM
ajst-20217	111	26	62.7	62.7	NUM
ajst-20217	111	27	82.3	82.3	NUM
ajst-20217	111	28	75.0	75.0	NUM
ajst-20217	111	29	81.8	81.8	NUM
ajst-20217	111	30	74.6	74.6	NUM
ajst-20217	111	31	51.2	51.2	NUM
ajst-20217	111	32	44.4	44.4	NUM
ajst-20217	111	33	39.8	39.8	NUM
ajst-20217	111	34	33.5	33.5	NUM
ajst-20217	111	35	u	u	NOUN
ajst-20217	111	36	-	-	NOUN
ajst-20217	111	37	net++[17	net++[17	ADJ
ajst-20217	111	38	]	]	PUNCT
ajst-20217	111	39	70.7	70.7	NUM
ajst-20217	111	40	62.4	62.4	NUM
ajst-20217	111	41	79.4	79.4	NUM
ajst-20217	111	42	72.9	72.9	NUM
ajst-20217	111	43	82.1	82.1	NUM
ajst-20217	111	44	74.3	74.3	NUM
ajst-20217	111	45	48.3	48.3	NUM
ajst-20217	111	46	41.0	41.0	NUM
ajst-20217	111	47	40.1	40.1	NUM
ajst-20217	111	48	34.4	34.4	NUM
ajst-20217	111	49	pranet[4	pranet[4	NOUN
ajst-20217	111	50	]	]	X
ajst-20217	111	51	87.1	87.1	NUM
ajst-20217	111	52	79.7	79.7	NUM
ajst-20217	111	53	89.9	89.9	NUM
ajst-20217	111	54	84.9	84.9	NUM
ajst-20217	111	55	89.8	89.8	NUM
ajst-20217	111	56	84.0	84.0	NUM
ajst-20217	111	57	70.9	70.9	NUM
ajst-20217	111	58	64.0	64.0	NUM
ajst-20217	111	59	62.8	62.8	NUM
ajst-20217	111	60	56.7	56.7	NUM
ajst-20217	111	61	transunet[18	transunet[18	NUM
ajst-20217	111	62	]	]	PUNCT
ajst-20217	111	63	87.5	87.5	NUM
ajst-20217	111	64	80.0	80.0	NUM
ajst-20217	111	65	89.1	89.1	NUM
ajst-20217	111	66	83.0	83.0	NUM
ajst-20217	111	67	89.1	89.1	NUM
ajst-20217	111	68	82.9	82.9	NUM
ajst-20217	111	69	76.9	76.9	NUM
ajst-20217	111	70	68.6	68.6	NUM
ajst-20217	111	71	73.7	73.7	NUM
ajst-20217	111	72	65.8	65.8	NUM
ajst-20217	111	73	sanet[19	sanet[19	NOUN
ajst-20217	111	74	]	]	PUNCT
ajst-20217	111	75	88.8	88.8	NUM
ajst-20217	111	76	81.5	81.5	NUM
ajst-20217	111	77	91.6	91.6	NUM
ajst-20217	111	78	85.9	85.9	NUM
ajst-20217	111	79	90.4	90.4	NUM
ajst-20217	111	80	84.7	84.7	NUM
ajst-20217	111	81	75.3	75.3	NUM
ajst-20217	111	82	67.0	67.0	NUM
ajst-20217	111	83	75.0	75.0	NUM
ajst-20217	111	84	65.4	65.4	NUM
ajst-20217	111	85	sfa[20	sfa[20	NOUN
ajst-20217	111	86	]	]	PUNCT
ajst-20217	111	87	46.7	46.7	NUM
ajst-20217	111	88	32.9	32.9	NUM
ajst-20217	111	89	70.0	70.0	NUM
ajst-20217	111	90	60.7	60.7	NUM
ajst-20217	111	91	72.3	72.3	NUM
ajst-20217	111	92	61.1	61.1	NUM
ajst-20217	111	93	46.9	46.9	NUM
ajst-20217	111	94	34.7	34.7	NUM
ajst-20217	111	95	29.7	29.7	NUM
ajst-20217	111	96	21.7	21.7	NUM
ajst-20217	111	97	eu	eu	PROPN
ajst-20217	111	98	-	-	PROPN
ajst-20217	111	99	net[21	net[21	PROPN
ajst-20217	111	100	]	]	PUNCT
ajst-20217	111	101	90.2	90.2	NUM
ajst-20217	111	102	85.9	85.9	NUM
ajst-20217	111	103	90.8	90.8	NUM
ajst-20217	111	104	85.4	85.4	NUM
ajst-20217	111	105	75.6	75.6	NUM
ajst-20217	111	106	68.1	68.1	NUM
ajst-20217	111	107	68.7	68.7	NUM
ajst-20217	111	108	60.9	60.9	NUM
ajst-20217	111	109	ours	ours	PRON
ajst-20217	111	110	88.8	88.8	NUM
ajst-20217	111	111	81.7	81.7	NUM
ajst-20217	111	112	90.8	90.8	NUM
ajst-20217	111	113	86.1	86.1	NUM
ajst-20217	111	114	92.1	92.1	NUM
ajst-20217	111	115	86.9	86.9	NUM
ajst-20217	111	116	79.6	79.6	NUM
ajst-20217	111	117	71.8	71.8	NUM
ajst-20217	111	118	77.5	77.5	NUM
ajst-20217	111	119	69.4	69.4	NUM
ajst-20217	111	120	second	second	ADJ
ajst-20217	111	121	-	-	PUNCT
ajst-20217	111	122	place	place	NOUN
ajst-20217	111	123	transunet	transunet	NOUN
ajst-20217	111	124	by	by	ADP
ajst-20217	111	125	2.7	2.7	NUM
ajst-20217	111	126	.	.	PUNCT
ajst-20217	112	1	on	on	ADP
ajst-20217	112	2	the	the	DET
ajst-20217	112	3	dice	dice	NOUN
ajst-20217	112	4	metric	metric	NOUN
ajst-20217	112	5	of	of	ADP
ajst-20217	112	6	etis	etis	NOUN
ajst-20217	112	7	-	-	PUNCT
ajst-20217	112	8	laribdb	laribdb	NOUN
ajst-20217	112	9	,	,	PUNCT
ajst-20217	112	10	it	it	PRON
ajst-20217	112	11	outperforms	outperform	VERB
ajst-20217	112	12	the	the	DET
ajst-20217	112	13	second	second	ADJ
ajst-20217	112	14	-	-	PUNCT
ajst-20217	112	15	place	place	NOUN
ajst-20217	112	16	sanet	sanet	NOUN
ajst-20217	112	17	by	by	ADP
ajst-20217	112	18	2.5	2.5	NUM
ajst-20217	112	19	.	.	PUNCT
ajst-20217	113	1	taken	take	VERB
ajst-20217	113	2	together	together	ADV
ajst-20217	113	3	,	,	PUNCT
ajst-20217	113	4	the	the	DET
ajst-20217	113	5	polyp	polyp	NOUN
ajst-20217	113	6	segmentation	segmentation	NOUN
ajst-20217	113	7	method	method	NOUN
ajst-20217	113	8	proposed	propose	VERB
ajst-20217	113	9	in	in	ADP
ajst-20217	113	10	this	this	DET
ajst-20217	113	11	paper	paper	NOUN
ajst-20217	113	12	outperforms	outperform	VERB
ajst-20217	113	13	the	the	DET
ajst-20217	113	14	other	other	ADJ
ajst-20217	113	15	comparative	comparative	ADJ
ajst-20217	113	16	methods	method	NOUN
ajst-20217	113	17	.	.	PUNCT
ajst-20217	114	1	figure	figure	NOUN
ajst-20217	114	2	2	2	NUM
ajst-20217	114	3	.	.	PUNCT
ajst-20217	114	4	qualitative	qualitative	ADJ
ajst-20217	114	5	results	result	NOUN
ajst-20217	114	6	of	of	ADP
ajst-20217	114	7	the	the	DET
ajst-20217	114	8	polyp	polyp	NOUN
ajst-20217	114	9	segmentation	segmentation	NOUN
ajst-20217	114	10	dataset	dataset	VERB
ajst-20217	114	11	.	.	PUNCT
ajst-20217	115	1	from	from	ADP
ajst-20217	115	2	left	left	ADJ
ajst-20217	115	3	to	to	ADP
ajst-20217	115	4	right	right	NOUN
ajst-20217	115	5	:	:	PUNCT
ajst-20217	115	6	original	original	ADJ
ajst-20217	115	7	image	image	NOUN
ajst-20217	115	8	,	,	PUNCT
ajst-20217	115	9	ground	ground	NOUN
ajst-20217	115	10	truth	truth	NOUN
ajst-20217	115	11	,	,	PUNCT
ajst-20217	115	12	segmentation	segmentation	NOUN
ajst-20217	115	13	results	result	NOUN
ajst-20217	115	14	generated	generate	VERB
ajst-20217	115	15	by	by	ADP
ajst-20217	115	16	ours	ours	PRON
ajst-20217	115	17	(	(	PUNCT
ajst-20217	115	18	mbc	mbc	PROPN
ajst-20217	115	19	-	-	PUNCT
ajst-20217	115	20	net	net	NOUN
ajst-20217	115	21	)	)	PUNCT
ajst-20217	115	22	,	,	PUNCT
ajst-20217	115	23	u	u	NOUN
ajst-20217	115	24	-	-	NOUN
ajst-20217	115	25	net	net	ADJ
ajst-20217	115	26	,	,	PUNCT
ajst-20217	115	27	pranet	pranet	NOUN
ajst-20217	115	28	,	,	PUNCT
ajst-20217	115	29	sanet	sanet	NOUN
ajst-20217	115	30	respectiv	respectiv	NOUN
ajst-20217	115	31	-	-	PROPN
ajst-20217	115	32	ely	ely	NOUN
ajst-20217	115	33	.	.	PUNCT
ajst-20217	116	1	in	in	ADP
ajst-20217	116	2	addition	addition	NOUN
ajst-20217	116	3	to	to	ADP
ajst-20217	116	4	the	the	DET
ajst-20217	116	5	quantitative	quantitative	ADJ
ajst-20217	116	6	experiments	experiment	NOUN
ajst-20217	116	7	previously	previously	ADV
ajst-20217	116	8	described	describe	VERB
ajst-20217	116	9	,	,	PUNCT
ajst-20217	116	10	this	this	DET
ajst-20217	116	11	paper	paper	NOUN
ajst-20217	116	12	also	also	ADV
ajst-20217	116	13	carries	carry	VERB
ajst-20217	116	14	out	out	ADP
ajst-20217	116	15	a	a	DET
ajst-20217	116	16	large	large	ADJ
ajst-20217	116	17	number	number	NOUN
ajst-20217	116	18	of	of	ADP
ajst-20217	116	19	qualitative	qualitative	ADJ
ajst-20217	116	20	experiments	experiment	NOUN
ajst-20217	116	21	.	.	PUNCT
ajst-20217	117	1	the	the	DET
ajst-20217	117	2	methods	method	NOUN
ajst-20217	117	3	proposed	propose	VERB
ajst-20217	117	4	in	in	ADP
ajst-20217	117	5	this	this	DET
ajst-20217	117	6	paper	paper	NOUN
ajst-20217	117	7	are	be	AUX
ajst-20217	117	8	compared	compare	VERB
ajst-20217	117	9	experimentally	experimentally	ADV
ajst-20217	117	10	with	with	ADP
ajst-20217	117	11	u	u	NOUN
ajst-20217	117	12	-	-	NOUN
ajst-20217	117	13	net	net	ADJ
ajst-20217	117	14	[	[	X
ajst-20217	117	15	1	1	NUM
ajst-20217	117	16	]	]	PUNCT
ajst-20217	117	17	,	,	PUNCT
ajst-20217	117	18	u	u	NOUN
ajst-20217	117	19	-	-	NOUN
ajst-20217	117	20	net++	net++	PROPN
ajst-20217	118	1	[	[	X
ajst-20217	118	2	17	17	NUM
ajst-20217	118	3	]	]	PUNCT
ajst-20217	118	4	,	,	PUNCT
ajst-20217	118	5	pranet	pranet	NOUN
ajst-20217	119	1	[	[	X
ajst-20217	119	2	4	4	NUM
ajst-20217	119	3	]	]	PUNCT
ajst-20217	119	4	,	,	PUNCT
ajst-20217	119	5	and	and	CCONJ
ajst-20217	119	6	sanet	sanet	NOUN
ajst-20217	119	7	[	[	X
ajst-20217	119	8	20	20	NUM
ajst-20217	119	9	]	]	PUNCT
ajst-20217	119	10	,	,	PUNCT
ajst-20217	119	11	and	and	CCONJ
ajst-20217	119	12	the	the	DET
ajst-20217	119	13	experimental	experimental	ADJ
ajst-20217	119	14	results	result	NOUN
ajst-20217	119	15	are	be	AUX
ajst-20217	119	16	analyzed	analyze	VERB
ajst-20217	119	17	.	.	PUNCT
ajst-20217	120	1	for	for	ADP
ajst-20217	120	2	methods	method	NOUN
ajst-20217	120	3	for	for	ADP
ajst-20217	120	4	which	which	PRON
ajst-20217	120	5	experimental	experimental	ADJ
ajst-20217	120	6	results	result	NOUN
ajst-20217	120	7	are	be	AUX
ajst-20217	120	8	provided	provide	VERB
ajst-20217	120	9	,	,	PUNCT
ajst-20217	120	10	we	we	PRON
ajst-20217	120	11	directly	directly	ADV
ajst-20217	120	12	use	use	VERB
ajst-20217	120	13	their	their	PRON
ajst-20217	120	14	results	result	NOUN
ajst-20217	120	15	.	.	PUNCT
ajst-20217	121	1	in	in	ADP
ajst-20217	121	2	contrast	contrast	NOUN
ajst-20217	121	3	,	,	PUNCT
ajst-20217	121	4	for	for	ADP
ajst-20217	121	5	methods	method	NOUN
ajst-20217	121	6	for	for	ADP
ajst-20217	121	7	which	which	PRON
ajst-20217	121	8	experimental	experimental	ADJ
ajst-20217	121	9	results	result	NOUN
ajst-20217	121	10	are	be	AUX
ajst-20217	121	11	not	not	PART
ajst-20217	121	12	provided	provide	VERB
ajst-20217	121	13	,	,	PUNCT
ajst-20217	121	14	we	we	PRON
ajst-20217	121	15	will	will	AUX
ajst-20217	121	16	follow	follow	VERB
ajst-20217	121	17	the	the	DET
ajst-20217	121	18	corresponding	correspond	VERB
ajst-20217	121	19	code	code	NOUN
ajst-20217	121	20	to	to	PART
ajst-20217	121	21	conduct	conduct	VERB
ajst-20217	121	22	experiments	experiment	NOUN
ajst-20217	121	23	to	to	PART
ajst-20217	121	24	derive	derive	VERB
ajst-20217	121	25	segmentation	segmentation	NOUN
ajst-20217	121	26	results	result	NOUN
ajst-20217	121	27	.	.	PUNCT
ajst-20217	122	1	in	in	ADP
ajst-20217	122	2	fig	fig	NOUN
ajst-20217	122	3	.	.	PUNCT
ajst-20217	123	1	2	2	NUM
ajst-20217	123	2	,	,	PUNCT
ajst-20217	123	3	we	we	PRON
ajst-20217	123	4	show	show	VERB
ajst-20217	123	5	a	a	DET
ajst-20217	123	6	graph	graph	NOUN
ajst-20217	123	7	comparing	compare	VERB
ajst-20217	123	8	the	the	DET
ajst-20217	123	9	qualitative	qualitative	ADJ
ajst-20217	123	10	experimental	experimental	ADJ
ajst-20217	123	11	results	result	NOUN
ajst-20217	123	12	of	of	ADP
ajst-20217	123	13	the	the	DET
ajst-20217	123	14	methods	method	NOUN
ajst-20217	123	15	in	in	ADP
ajst-20217	123	16	this	this	DET
ajst-20217	123	17	paper	paper	NOUN
ajst-20217	123	18	with	with	ADP
ajst-20217	123	19	those	those	PRON
ajst-20217	123	20	of	of	ADP
ajst-20217	123	21	other	other	ADJ
ajst-20217	123	22	methods	method	NOUN
ajst-20217	123	23	.	.	PUNCT
ajst-20217	124	1	the	the	DET
ajst-20217	124	2	first	first	ADJ
ajst-20217	124	3	and	and	CCONJ
ajst-20217	124	4	second	second	ADJ
ajst-20217	124	5	columns	column	NOUN
ajst-20217	124	6	of	of	ADP
ajst-20217	124	7	the	the	DET
ajst-20217	124	8	figure	figure	NOUN
ajst-20217	124	9	show	show	VERB
ajst-20217	124	10	the	the	DET
ajst-20217	124	11	test	test	NOUN
ajst-20217	124	12	images	image	NOUN
ajst-20217	124	13	and	and	CCONJ
ajst-20217	124	14	their	their	PRON
ajst-20217	124	15	truth	truth	NOUN
ajst-20217	124	16	labels	label	NOUN
ajst-20217	124	17	selected	select	VERB
ajst-20217	124	18	in	in	ADP
ajst-20217	124	19	the	the	DET
ajst-20217	124	20	experiments	experiment	NOUN
ajst-20217	124	21	,	,	PUNCT
ajst-20217	124	22	and	and	CCONJ
ajst-20217	124	23	the	the	DET
ajst-20217	124	24	third	third	ADJ
ajst-20217	124	25	column	column	NOUN
ajst-20217	124	26	shows	show	VERB
ajst-20217	124	27	the	the	DET
ajst-20217	124	28	polyp	polyp	NOUN
ajst-20217	124	29	segmentation	segmentation	NOUN
ajst-20217	124	30	method	method	NOUN
ajst-20217	124	31	proposed	propose	VERB
ajst-20217	124	32	in	in	ADP
ajst-20217	124	33	this	this	DET
ajst-20217	124	34	paper	paper	NOUN
ajst-20217	124	35	.	.	PUNCT
ajst-20217	125	1	in	in	ADP
ajst-20217	125	2	contrast	contrast	NOUN
ajst-20217	125	3	,	,	PUNCT
ajst-20217	125	4	the	the	DET
ajst-20217	125	5	fourth	fourth	ADJ
ajst-20217	125	6	to	to	PART
ajst-20217	125	7	sixth	sixth	ADJ
ajst-20217	125	8	columns	column	NOUN
ajst-20217	125	9	show	show	VERB
ajst-20217	125	10	the	the	DET
ajst-20217	125	11	experimental	experimental	ADJ
ajst-20217	125	12	results	result	NOUN
ajst-20217	125	13	of	of	ADP
ajst-20217	125	14	the	the	DET
ajst-20217	125	15	other	other	ADJ
ajst-20217	125	16	compared	compare	VERB
ajst-20217	125	17	methods	method	NOUN
ajst-20217	125	18	.	.	PUNCT
ajst-20217	126	1	the	the	DET
ajst-20217	126	2	results	result	NOUN
ajst-20217	126	3	of	of	ADP
ajst-20217	126	4	the	the	DET
ajst-20217	126	5	qualitative	qualitative	ADJ
ajst-20217	126	6	comparison	comparison	NOUN
ajst-20217	126	7	experiments	experiment	NOUN
ajst-20217	126	8	show	show	VERB
ajst-20217	126	9	that	that	SCONJ
ajst-20217	126	10	the	the	DET
ajst-20217	126	11	polyp	polyp	NOUN
ajst-20217	126	12	segmentation	segmentation	NOUN
ajst-20217	126	13	network	network	NOUN
ajst-20217	126	14	based	base	VERB
ajst-20217	126	15	on	on	ADP
ajst-20217	126	16	transformer	transformer	NOUN
ajst-20217	126	17	encoder	encoder	NOUN
ajst-20217	126	18	feature	feature	NOUN
ajst-20217	126	19	enhancement	enhancement	NOUN
ajst-20217	126	20	presents	present	VERB
ajst-20217	126	21	good	good	ADJ
ajst-20217	126	22	segmentation	segmentation	NOUN
ajst-20217	126	23	results	result	NOUN
ajst-20217	126	24	.	.	PUNCT
ajst-20217	127	1	4	4	X
ajst-20217	127	2	.	.	X
ajst-20217	127	3	summary	summary	VERB
ajst-20217	127	4	the	the	DET
ajst-20217	127	5	convolution	convolution	NOUN
ajst-20217	127	6	operation	operation	NOUN
ajst-20217	127	7	used	use	VERB
ajst-20217	127	8	in	in	ADP
ajst-20217	127	9	convolutional	convolutional	ADJ
ajst-20217	127	10	neural	neural	ADJ
ajst-20217	127	11	networks	network	NOUN
ajst-20217	127	12	can	can	AUX
ajst-20217	127	13	only	only	ADV
ajst-20217	127	14	focus	focus	VERB
ajst-20217	127	15	on	on	ADP
ajst-20217	127	16	limited	limited	ADJ
ajst-20217	127	17	local	local	ADJ
ajst-20217	127	18	information	information	NOUN
ajst-20217	127	19	and	and	CCONJ
ajst-20217	127	20	is	be	AUX
ajst-20217	127	21	restricted	restrict	VERB
ajst-20217	127	22	by	by	ADP
ajst-20217	127	23	the	the	DET
ajst-20217	127	24	global	global	ADJ
ajst-20217	127	25	modelling	modelling	NOUN
ajst-20217	127	26	capability	capability	NOUN
ajst-20217	127	27	;	;	PUNCT
ajst-20217	127	28	at	at	ADP
ajst-20217	127	29	the	the	DET
ajst-20217	127	30	same	same	ADJ
ajst-20217	127	31	time	time	NOUN
ajst-20217	127	32	,	,	PUNCT
ajst-20217	127	33	the	the	DET
ajst-20217	127	34	pooling	pool	VERB
ajst-20217	127	35	operation	operation	NOUN
ajst-20217	127	36	applied	apply	VERB
ajst-20217	127	37	in	in	ADP
ajst-20217	127	38	the	the	DET
ajst-20217	127	39	network	network	NOUN
ajst-20217	127	40	also	also	ADV
ajst-20217	127	41	causes	cause	VERB
ajst-20217	127	42	loss	loss	NOUN
ajst-20217	127	43	of	of	ADP
ajst-20217	127	44	information	information	NOUN
ajst-20217	127	45	to	to	ADP
ajst-20217	127	46	a	a	DET
ajst-20217	127	47	certain	certain	ADJ
ajst-20217	127	48	extent	extent	NOUN
ajst-20217	127	49	,	,	PUNCT
ajst-20217	127	50	which	which	PRON
ajst-20217	127	51	negatively	negatively	ADV
ajst-20217	127	52	affects	affect	VERB
ajst-20217	127	53	the	the	DET
ajst-20217	127	54	segmentation	segmentation	NOUN
ajst-20217	127	55	of	of	ADP
ajst-20217	127	56	small	small	ADJ
ajst-20217	127	57	polyps	polyp	NOUN
ajst-20217	127	58	and	and	CCONJ
ajst-20217	127	59	polyp	polyp	NOUN
ajst-20217	127	60	boundaries	boundary	NOUN
ajst-20217	127	61	.	.	PUNCT
ajst-20217	128	1	to	to	PART
ajst-20217	128	2	address	address	VERB
ajst-20217	128	3	this	this	DET
ajst-20217	128	4	problem	problem	NOUN
ajst-20217	128	5	,	,	PUNCT
ajst-20217	128	6	this	this	DET
ajst-20217	128	7	paper	paper	NOUN
ajst-20217	128	8	proposes	propose	VERB
ajst-20217	128	9	an	an	DET
ajst-20217	128	10	improved	improved	ADJ
ajst-20217	128	11	polyp	polyp	NOUN
ajst-20217	128	12	segmentation	segmentation	NOUN
ajst-20217	128	13	network	network	NOUN
ajst-20217	128	14	based	base	VERB
ajst-20217	128	15	on	on	ADP
ajst-20217	128	16	transformer	transformer	NOUN
ajst-20217	128	17	.	.	PUNCT
ajst-20217	129	1	the	the	DET
ajst-20217	129	2	proposed	propose	VERB
ajst-20217	129	3	feature	feature	NOUN
ajst-20217	129	4	extraction	extraction	NOUN
ajst-20217	129	5	module	module	NOUN
ajst-20217	129	6	effectively	effectively	ADV
ajst-20217	129	7	extracts	extract	VERB
ajst-20217	129	8	both	both	CCONJ
ajst-20217	129	9	global	global	ADJ
ajst-20217	129	10	and	and	CCONJ
ajst-20217	129	11	local	local	ADJ
ajst-20217	129	12	contextual	contextual	ADJ
ajst-20217	129	13	feature	feature	NOUN
ajst-20217	129	14	information	information	NOUN
ajst-20217	129	15	,	,	PUNCT
ajst-20217	129	16	overcoming	overcome	VERB
ajst-20217	129	17	the	the	DET
ajst-20217	129	18	local	local	ADJ
ajst-20217	129	19	limitations	limitation	NOUN
ajst-20217	129	20	in	in	ADP
ajst-20217	129	21	the	the	DET
ajst-20217	129	22	convolutional	convolutional	ADJ
ajst-20217	129	23	neural	neural	ADJ
ajst-20217	129	24	network	network	NOUN
ajst-20217	129	25	mechanism	mechanism	NOUN
ajst-20217	129	26	.	.	PUNCT
ajst-20217	130	1	csa	csa	PROPN
ajst-20217	130	2	-	-	PUNCT
ajst-20217	130	3	net	net	NOUN
ajst-20217	130	4	obtains	obtain	VERB
ajst-20217	130	5	the	the	DET
ajst-20217	130	6	best	good	ADJ
ajst-20217	130	7	segmentation	segmentation	NOUN
ajst-20217	130	8	results	result	NOUN
ajst-20217	130	9	on	on	ADP
ajst-20217	130	10	several	several	ADJ
ajst-20217	130	11	publicly	publicly	ADV
ajst-20217	130	12	available	available	ADJ
ajst-20217	130	13	datasets	dataset	NOUN
ajst-20217	130	14	,	,	PUNCT
ajst-20217	130	15	outperforming	outperform	VERB
ajst-20217	130	16	the	the	DET
ajst-20217	130	17	other	other	ADJ
ajst-20217	130	18	models	model	NOUN
ajst-20217	130	19	with	with	ADP
ajst-20217	130	20	which	which	PRON
ajst-20217	130	21	it	it	PRON
ajst-20217	130	22	is	be	AUX
ajst-20217	130	23	compared	compare	VERB
ajst-20217	130	24	.	.	PUNCT
ajst-20217	131	1	references	reference	NOUN
ajst-20217	131	2	[	[	X
ajst-20217	131	3	1	1	NUM
ajst-20217	131	4	]	]	PUNCT
ajst-20217	131	5	ronneberger	ronneberger	NOUN
ajst-20217	131	6	o	o	NOUN
ajst-20217	131	7	,	,	PUNCT
ajst-20217	131	8	fischer	fischer	PROPN
ajst-20217	131	9	p	p	PROPN
ajst-20217	131	10	,	,	PUNCT
ajst-20217	131	11	brox	brox	PROPN
ajst-20217	131	12	t.	t.	PROPN
ajst-20217	131	13	u	u	PROPN
ajst-20217	131	14	-	-	NOUN
ajst-20217	131	15	net	net	ADJ
ajst-20217	131	16	:	:	PUNCT
ajst-20217	131	17	convolutional	convolutional	ADJ
ajst-20217	131	18	networks	network	NOUN
ajst-20217	131	19	for	for	ADP
ajst-20217	131	20	biomedical	biomedical	ADJ
ajst-20217	131	21	image	image	NOUN
ajst-20217	131	22	segmentation[c]//medical	segmentation[c]//medical	PROPN
ajst-20217	131	23	195	195	NUM
ajst-20217	131	24	image	image	NOUN
ajst-20217	131	25	computing	computing	NOUN
ajst-20217	131	26	and	and	CCONJ
ajst-20217	131	27	computer	computer	NOUN
ajst-20217	131	28	-	-	PUNCT
ajst-20217	131	29	assisted	assist	VERB
ajst-20217	131	30	intervention	intervention	NOUN
ajst-20217	131	31	–	–	PUNCT
ajst-20217	131	32	miccai	miccai	NOUN
ajst-20217	131	33	2015	2015	NUM
ajst-20217	131	34	:	:	PUNCT
ajst-20217	131	35	18th	18th	ADJ
ajst-20217	131	36	international	international	ADJ
ajst-20217	131	37	conference	conference	NOUN
ajst-20217	131	38	,	,	PUNCT
ajst-20217	131	39	munich	munich	PROPN
ajst-20217	131	40	,	,	PUNCT
ajst-20217	131	41	germany	germany	PROPN
ajst-20217	131	42	,	,	PUNCT
ajst-20217	131	43	october	october	PROPN
ajst-20217	131	44	5	5	NUM
ajst-20217	131	45	-	-	SYM
ajst-20217	131	46	9	9	NUM
ajst-20217	131	47	,	,	PUNCT
ajst-20217	131	48	2015	2015	NUM
ajst-20217	131	49	,	,	PUNCT
ajst-20217	131	50	proceedings	proceeding	NOUN
ajst-20217	131	51	,	,	PUNCT
ajst-20217	131	52	part	part	NOUN
ajst-20217	131	53	iii	iii	NUM
ajst-20217	131	54	18	18	NUM
ajst-20217	131	55	.	.	PUNCT
ajst-20217	131	56	springer	springer	NOUN
ajst-20217	131	57	international	international	ADJ
ajst-20217	131	58	publishing	publishing	NOUN
ajst-20217	131	59	,	,	PUNCT
ajst-20217	131	60	2015	2015	NUM
ajst-20217	131	61	:	:	PUNCT
ajst-20217	131	62	234	234	NUM
ajst-20217	131	63	-	-	SYM
ajst-20217	131	64	241	241	NUM
ajst-20217	131	65	.	.	PUNCT
ajst-20217	132	1	[	[	X
ajst-20217	132	2	2	2	X
ajst-20217	132	3	]	]	PUNCT
ajst-20217	132	4	cao	cao	PROPN
ajst-20217	132	5	h	h	PROPN
ajst-20217	132	6	,	,	PUNCT
ajst-20217	132	7	wang	wang	PROPN
ajst-20217	132	8	y	y	PROPN
ajst-20217	132	9	,	,	PUNCT
ajst-20217	132	10	chen	chen	PROPN
ajst-20217	132	11	j	j	PROPN
ajst-20217	132	12	,	,	PUNCT
ajst-20217	132	13	et	et	PROPN
ajst-20217	132	14	al	al	PROPN
ajst-20217	132	15	.	.	PUNCT
ajst-20217	132	16	swin	swin	PROPN
ajst-20217	132	17	-	-	PUNCT
ajst-20217	132	18	unet	unet	NOUN
ajst-20217	132	19	:	:	PUNCT
ajst-20217	132	20	unet	unet	NOUN
ajst-20217	132	21	-	-	PUNCT
ajst-20217	132	22	like	like	ADJ
ajst-20217	132	23	pure	pure	ADJ
ajst-20217	132	24	transformer	transformer	NOUN
ajst-20217	132	25	for	for	ADP
ajst-20217	132	26	medical	medical	ADJ
ajst-20217	132	27	image	image	NOUN
ajst-20217	132	28	segmentation[c]//european	segmentation[c]//european	PROPN
ajst-20217	132	29	conference	conference	NOUN
ajst-20217	132	30	on	on	ADP
ajst-20217	132	31	computer	computer	NOUN
ajst-20217	132	32	vision	vision	NOUN
ajst-20217	132	33	.	.	PUNCT
ajst-20217	133	1	cham	cham	PROPN
ajst-20217	133	2	:	:	PUNCT
ajst-20217	133	3	springer	springer	NOUN
ajst-20217	133	4	nature	nature	PROPN
ajst-20217	133	5	switzerland	switzerland	PROPN
ajst-20217	133	6	,	,	PUNCT
ajst-20217	133	7	2022	2022	NUM
ajst-20217	133	8	:	:	PUNCT
ajst-20217	133	9	205	205	NUM
ajst-20217	133	10	-	-	SYM
ajst-20217	133	11	218	218	NUM
ajst-20217	133	12	.	.	PUNCT
ajst-20217	134	1	[	[	X
ajst-20217	134	2	3	3	X
ajst-20217	134	3	]	]	X
ajst-20217	134	4	chen	chen	PROPN
ajst-20217	134	5	s	s	PROPN
ajst-20217	134	6	,	,	PUNCT
ajst-20217	134	7	tan	tan	PROPN
ajst-20217	134	8	x	x	SYM
ajst-20217	134	9	,	,	PUNCT
ajst-20217	134	10	wang	wang	PROPN
ajst-20217	134	11	b	b	PROPN
ajst-20217	134	12	,	,	PUNCT
ajst-20217	134	13	et	et	PROPN
ajst-20217	134	14	al	al	PROPN
ajst-20217	134	15	.	.	PROPN
ajst-20217	134	16	reverse	reverse	VERB
ajst-20217	134	17	attention	attention	NOUN
ajst-20217	134	18	for	for	ADP
ajst-20217	134	19	salient	salient	ADJ
ajst-20217	134	20	object	object	NOUN
ajst-20217	134	21	detection[c]//proceedings	detection[c]//proceeding	NOUN
ajst-20217	134	22	of	of	ADP
ajst-20217	134	23	the	the	DET
ajst-20217	134	24	european	european	PROPN
ajst-20217	134	25	conference	conference	PROPN
ajst-20217	134	26	on	on	ADP
ajst-20217	134	27	computer	computer	NOUN
ajst-20217	134	28	vision	vision	NOUN
ajst-20217	134	29	(	(	PUNCT
ajst-20217	134	30	eccv	eccv	ADV
ajst-20217	134	31	)	)	PUNCT
ajst-20217	134	32	.	.	PUNCT
ajst-20217	135	1	2018	2018	NUM
ajst-20217	135	2	:	:	PUNCT
ajst-20217	135	3	234	234	NUM
ajst-20217	135	4	-	-	SYM
ajst-20217	135	5	250	250	NUM
ajst-20217	135	6	.	.	PUNCT
ajst-20217	136	1	[	[	X
ajst-20217	136	2	4	4	X
ajst-20217	136	3	]	]	X
ajst-20217	136	4	fan	fan	NOUN
ajst-20217	137	1	d	d	X
ajst-20217	137	2	p	p	PROPN
ajst-20217	137	3	,	,	PUNCT
ajst-20217	137	4	ji	ji	PROPN
ajst-20217	137	5	g	g	PROPN
ajst-20217	137	6	p	p	PROPN
ajst-20217	137	7	,	,	PUNCT
ajst-20217	137	8	zhou	zhou	PROPN
ajst-20217	137	9	t	t	PROPN
ajst-20217	137	10	,	,	PUNCT
ajst-20217	138	1	et	et	PROPN
ajst-20217	138	2	al	al	PROPN
ajst-20217	138	3	.	.	PUNCT
ajst-20217	138	4	pranet	pranet	PROPN
ajst-20217	138	5	:	:	PUNCT
ajst-20217	138	6	parallel	parallel	ADJ
ajst-20217	138	7	reverse	reverse	ADJ
ajst-20217	138	8	attention	attention	NOUN
ajst-20217	138	9	network	network	NOUN
ajst-20217	138	10	for	for	ADP
ajst-20217	138	11	polyp	polyp	NOUN
ajst-20217	138	12	segmentation[c]//international	segmentation[c]//international	ADJ
ajst-20217	138	13	conference	conference	NOUN
ajst-20217	138	14	on	on	ADP
ajst-20217	138	15	medical	medical	ADJ
ajst-20217	138	16	image	image	NOUN
ajst-20217	138	17	computing	computing	NOUN
ajst-20217	138	18	and	and	CCONJ
ajst-20217	138	19	computer	computer	NOUN
ajst-20217	138	20	-	-	PUNCT
ajst-20217	138	21	assisted	assist	VERB
ajst-20217	138	22	intervention	intervention	NOUN
ajst-20217	138	23	.	.	PUNCT
ajst-20217	139	1	cham	cham	PROPN
ajst-20217	139	2	:	:	PUNCT
ajst-20217	139	3	springer	springer	NOUN
ajst-20217	139	4	international	international	ADJ
ajst-20217	139	5	publishing	publishing	NOUN
ajst-20217	139	6	,	,	PUNCT
ajst-20217	139	7	2020	2020	NUM
ajst-20217	139	8	:	:	PUNCT
ajst-20217	139	9	263	263	NUM
ajst-20217	139	10	-	-	SYM
ajst-20217	139	11	273	273	NUM
ajst-20217	139	12	.	.	PUNCT
ajst-20217	140	1	[	[	X
ajst-20217	140	2	5	5	NUM
ajst-20217	140	3	]	]	ADJ
ajst-20217	140	4	dosovitskiy	dosovitskiy	NOUN
ajst-20217	140	5	a	a	PRON
ajst-20217	140	6	,	,	PUNCT
ajst-20217	140	7	beyer	beyer	PROPN
ajst-20217	140	8	l	l	PROPN
ajst-20217	140	9	,	,	PUNCT
ajst-20217	140	10	kolesnikov	kolesnikov	PROPN
ajst-20217	140	11	a	a	PROPN
ajst-20217	140	12	,	,	PUNCT
ajst-20217	140	13	et	et	PROPN
ajst-20217	140	14	al	al	PROPN
ajst-20217	140	15	.	.	PUNCT
ajst-20217	141	1	an	an	DET
ajst-20217	141	2	image	image	NOUN
ajst-20217	141	3	is	be	AUX
ajst-20217	141	4	worth	worth	ADJ
ajst-20217	141	5	16x16	16x16	NUM
ajst-20217	141	6	words	word	NOUN
ajst-20217	141	7	:	:	PUNCT
ajst-20217	141	8	transformers	transformer	NOUN
ajst-20217	141	9	for	for	ADP
ajst-20217	141	10	image	image	NOUN
ajst-20217	141	11	recognition	recognition	NOUN
ajst-20217	141	12	at	at	ADP
ajst-20217	141	13	scale[j	scale[j	NOUN
ajst-20217	141	14	]	]	PUNCT
ajst-20217	141	15	.	.	PUNCT
ajst-20217	142	1	arxiv	arxiv	PROPN
ajst-20217	142	2	preprint	preprint	VERB
ajst-20217	142	3	arxiv:2010.11929	arxiv:2010.11929	NOUN
ajst-20217	142	4	,	,	PUNCT
ajst-20217	142	5	2020	2020	NUM
ajst-20217	142	6	.	.	PUNCT
ajst-20217	143	1	[	[	X
ajst-20217	143	2	6	6	NUM
ajst-20217	143	3	]	]	PUNCT
ajst-20217	143	4	wang	wang	PROPN
ajst-20217	143	5	j	j	PROPN
ajst-20217	143	6	,	,	PUNCT
ajst-20217	143	7	huang	huang	PROPN
ajst-20217	143	8	q	q	PROPN
ajst-20217	143	9	,	,	PUNCT
ajst-20217	143	10	tang	tang	PROPN
ajst-20217	143	11	f	f	X
ajst-20217	143	12	,	,	PUNCT
ajst-20217	143	13	et	et	PROPN
ajst-20217	143	14	al	al	PROPN
ajst-20217	143	15	.	.	PROPN
ajst-20217	143	16	stepwise	stepwise	PROPN
ajst-20217	143	17	feature	feature	NOUN
ajst-20217	143	18	fusion	fusion	NOUN
ajst-20217	143	19	:	:	PUNCT
ajst-20217	143	20	local	local	ADJ
ajst-20217	143	21	guides	guide	NOUN
ajst-20217	143	22	global[c]//international	global[c]//international	PROPN
ajst-20217	143	23	conference	conference	NOUN
ajst-20217	143	24	on	on	ADP
ajst-20217	143	25	medical	medical	ADJ
ajst-20217	143	26	image	image	NOUN
ajst-20217	143	27	computing	computing	NOUN
ajst-20217	143	28	and	and	CCONJ
ajst-20217	143	29	computer	computer	NOUN
ajst-20217	143	30	-	-	PUNCT
ajst-20217	143	31	assisted	assist	VERB
ajst-20217	143	32	intervention	intervention	NOUN
ajst-20217	143	33	.	.	PUNCT
ajst-20217	144	1	cham	cham	PROPN
ajst-20217	144	2	:	:	PUNCT
ajst-20217	144	3	springer	springer	NOUN
ajst-20217	144	4	nature	nature	PROPN
ajst-20217	144	5	switzerland	switzerland	PROPN
ajst-20217	144	6	,	,	PUNCT
ajst-20217	144	7	2022	2022	NUM
ajst-20217	144	8	:	:	PUNCT
ajst-20217	144	9	110	110	NUM
ajst-20217	144	10	-	-	SYM
ajst-20217	144	11	120	120	NUM
ajst-20217	144	12	.	.	PUNCT
ajst-20217	145	1	[	[	X
ajst-20217	145	2	7	7	X
ajst-20217	145	3	]	]	X
ajst-20217	145	4	islam	islam	PROPN
ajst-20217	145	5	m	m	PROPN
ajst-20217	145	6	a	a	PROPN
ajst-20217	145	7	,	,	PUNCT
ajst-20217	145	8	jia	jia	PROPN
ajst-20217	145	9	s	s	PROPN
ajst-20217	145	10	,	,	PUNCT
ajst-20217	145	11	bruce	bruce	PROPN
ajst-20217	145	12	n	n	PROPN
ajst-20217	145	13	d	d	PROPN
ajst-20217	145	14	b.	b.	PROPN
ajst-20217	145	15	how	how	SCONJ
ajst-20217	145	16	much	much	ADJ
ajst-20217	145	17	position	position	NOUN
ajst-20217	145	18	information	information	NOUN
ajst-20217	145	19	do	do	VERB
ajst-20217	145	20	convolutional	convolutional	ADJ
ajst-20217	145	21	neural	neural	ADJ
ajst-20217	145	22	networks	network	NOUN
ajst-20217	145	23	encode?[j	encode?[j	X
ajst-20217	145	24	]	]	PUNCT
ajst-20217	145	25	.	.	PUNCT
ajst-20217	146	1	arxiv	arxiv	PROPN
ajst-20217	146	2	preprint	preprint	NOUN
ajst-20217	146	3	arxiv:2001.08248	arxiv:2001.08248	NOUN
ajst-20217	146	4	,	,	PUNCT
ajst-20217	146	5	2020	2020	NUM
ajst-20217	146	6	.	.	PUNCT
ajst-20217	147	1	[	[	X
ajst-20217	147	2	8	8	NUM
ajst-20217	147	3	]	]	X
ajst-20217	147	4	zhao	zhao	PROPN
ajst-20217	147	5	h	h	PROPN
ajst-20217	147	6	,	,	PUNCT
ajst-20217	147	7	shi	shi	PROPN
ajst-20217	147	8	j	j	PROPN
ajst-20217	147	9	,	,	PUNCT
ajst-20217	147	10	qi	qi	PROPN
ajst-20217	147	11	x	x	PROPN
ajst-20217	147	12	,	,	PUNCT
ajst-20217	147	13	et	et	PROPN
ajst-20217	147	14	al	al	PROPN
ajst-20217	147	15	.	.	PUNCT
ajst-20217	148	1	pyramid	pyramid	PROPN
ajst-20217	148	2	scene	scene	NOUN
ajst-20217	148	3	parsing	parse	VERB
ajst-20217	148	4	network[c]//proceedings	network[c]//proceeding	NOUN
ajst-20217	148	5	of	of	ADP
ajst-20217	148	6	the	the	DET
ajst-20217	148	7	ieee	ieee	NOUN
ajst-20217	148	8	conference	conference	NOUN
ajst-20217	148	9	on	on	ADP
ajst-20217	148	10	computer	computer	NOUN
ajst-20217	148	11	vision	vision	NOUN
ajst-20217	148	12	and	and	CCONJ
ajst-20217	148	13	pattern	pattern	NOUN
ajst-20217	148	14	recognition	recognition	NOUN
ajst-20217	148	15	.	.	PUNCT
ajst-20217	149	1	2017	2017	NUM
ajst-20217	149	2	:	:	PUNCT
ajst-20217	149	3	2881	2881	NUM
ajst-20217	149	4	-	-	SYM
ajst-20217	149	5	2890	2890	NUM
ajst-20217	149	6	.	.	PUNCT
ajst-20217	150	1	[	[	X
ajst-20217	150	2	9	9	NUM
ajst-20217	150	3	]	]	X
ajst-20217	150	4	peng	peng	PROPN
ajst-20217	150	5	c	c	PROPN
ajst-20217	150	6	,	,	PUNCT
ajst-20217	150	7	zhang	zhang	PROPN
ajst-20217	150	8	x	x	PROPN
ajst-20217	150	9	,	,	PUNCT
ajst-20217	150	10	yu	yu	PROPN
ajst-20217	150	11	g	g	PROPN
ajst-20217	150	12	,	,	PUNCT
ajst-20217	150	13	et	et	PROPN
ajst-20217	150	14	al	al	PROPN
ajst-20217	150	15	.	.	PUNCT
ajst-20217	151	1	large	large	ADJ
ajst-20217	151	2	kernel	kernel	NOUN
ajst-20217	151	3	matters	matter	NOUN
ajst-20217	151	4	--	--	PUNCT
ajst-20217	151	5	improve	improve	VERB
ajst-20217	151	6	semantic	semantic	ADJ
ajst-20217	151	7	segmentation	segmentation	NOUN
ajst-20217	151	8	by	by	ADP
ajst-20217	151	9	global	global	ADJ
ajst-20217	151	10	convolutional	convolutional	ADJ
ajst-20217	151	11	network[c]//proceedings	network[c]//proceeding	NOUN
ajst-20217	151	12	of	of	ADP
ajst-20217	151	13	the	the	DET
ajst-20217	151	14	ieee	ieee	NOUN
ajst-20217	151	15	conference	conference	NOUN
ajst-20217	151	16	on	on	ADP
ajst-20217	151	17	computer	computer	NOUN
ajst-20217	151	18	vision	vision	NOUN
ajst-20217	151	19	and	and	CCONJ
ajst-20217	151	20	pattern	pattern	NOUN
ajst-20217	151	21	recognition	recognition	NOUN
ajst-20217	151	22	.	.	PUNCT
ajst-20217	152	1	2017	2017	NUM
ajst-20217	152	2	:	:	PUNCT
ajst-20217	152	3	4353	4353	NUM
ajst-20217	152	4	-	-	SYM
ajst-20217	152	5	4361	4361	NUM
ajst-20217	152	6	.	.	PUNCT
ajst-20217	153	1	[	[	X
ajst-20217	153	2	10	10	NUM
ajst-20217	153	3	]	]	X
ajst-20217	153	4	fu	fu	PROPN
ajst-20217	153	5	j	j	PROPN
ajst-20217	153	6	,	,	PUNCT
ajst-20217	153	7	liu	liu	PROPN
ajst-20217	153	8	j	j	PROPN
ajst-20217	153	9	,	,	PUNCT
ajst-20217	153	10	tian	tian	ADJ
ajst-20217	153	11	h	h	NOUN
ajst-20217	153	12	,	,	PUNCT
ajst-20217	153	13	et	et	PROPN
ajst-20217	153	14	al	al	PROPN
ajst-20217	153	15	.	.	PUNCT
ajst-20217	154	1	dual	dual	ADJ
ajst-20217	154	2	attention	attention	NOUN
ajst-20217	154	3	network	network	NOUN
ajst-20217	154	4	for	for	ADP
ajst-20217	154	5	scene	scene	NOUN
ajst-20217	154	6	segmentation[c]//proceedings	segmentation[c]//proceeding	NOUN
ajst-20217	154	7	of	of	ADP
ajst-20217	154	8	the	the	DET
ajst-20217	154	9	ieee	ieee	NOUN
ajst-20217	154	10	/	/	SYM
ajst-20217	154	11	cvf	cvf	NOUN
ajst-20217	154	12	conference	conference	NOUN
ajst-20217	154	13	on	on	ADP
ajst-20217	154	14	computer	computer	NOUN
ajst-20217	154	15	vision	vision	NOUN
ajst-20217	154	16	and	and	CCONJ
ajst-20217	154	17	pattern	pattern	NOUN
ajst-20217	154	18	recognition	recognition	NOUN
ajst-20217	154	19	.	.	PUNCT
ajst-20217	155	1	2019	2019	NUM
ajst-20217	155	2	:	:	PUNCT
ajst-20217	155	3	3146	3146	NUM
ajst-20217	155	4	-	-	SYM
ajst-20217	155	5	3154	3154	NUM
ajst-20217	155	6	.	.	PUNCT
ajst-20217	156	1	[	[	X
ajst-20217	156	2	11	11	NUM
ajst-20217	156	3	]	]	PUNCT
ajst-20217	156	4	mou	mou	PROPN
ajst-20217	156	5	l	l	PROPN
ajst-20217	156	6	,	,	PUNCT
ajst-20217	156	7	zhao	zhao	PROPN
ajst-20217	156	8	y	y	PROPN
ajst-20217	156	9	,	,	PUNCT
ajst-20217	156	10	chen	chen	PROPN
ajst-20217	156	11	l	l	PROPN
ajst-20217	156	12	,	,	PUNCT
ajst-20217	156	13	et	et	PROPN
ajst-20217	156	14	al	al	PROPN
ajst-20217	156	15	.	.	PUNCT
ajst-20217	157	1	cs	cs	PROPN
ajst-20217	157	2	-	-	ADJ
ajst-20217	157	3	net	net	ADJ
ajst-20217	157	4	:	:	PUNCT
ajst-20217	157	5	channel	channel	NOUN
ajst-20217	157	6	and	and	CCONJ
ajst-20217	157	7	spatial	spatial	ADJ
ajst-20217	157	8	attention	attention	NOUN
ajst-20217	157	9	network	network	NOUN
ajst-20217	157	10	for	for	ADP
ajst-20217	157	11	curvilinear	curvilinear	ADJ
ajst-20217	157	12	structure	structure	NOUN
ajst-20217	157	13	segmentation[c]//medical	segmentation[c]//medical	PROPN
ajst-20217	157	14	image	image	NOUN
ajst-20217	157	15	computing	computing	NOUN
ajst-20217	157	16	and	and	CCONJ
ajst-20217	157	17	computer	computer	NOUN
ajst-20217	157	18	assisted	assist	VERB
ajst-20217	157	19	intervention	intervention	NOUN
ajst-20217	157	20	–	–	PUNCT
ajst-20217	157	21	miccai	miccai	NOUN
ajst-20217	157	22	2019	2019	NUM
ajst-20217	157	23	:	:	PUNCT
ajst-20217	157	24	22nd	22nd	ADJ
ajst-20217	157	25	international	international	ADJ
ajst-20217	157	26	conference	conference	NOUN
ajst-20217	157	27	,	,	PUNCT
ajst-20217	157	28	shenzhen	shenzhen	PROPN
ajst-20217	157	29	,	,	PUNCT
ajst-20217	157	30	china	china	PROPN
ajst-20217	157	31	,	,	PUNCT
ajst-20217	157	32	october	october	PROPN
ajst-20217	157	33	13–17	13–17	NUM
ajst-20217	157	34	,	,	PUNCT
ajst-20217	157	35	2019	2019	NUM
ajst-20217	157	36	,	,	PUNCT
ajst-20217	157	37	proceedings	proceeding	NOUN
ajst-20217	157	38	,	,	PUNCT
ajst-20217	157	39	part	part	NOUN
ajst-20217	157	40	i	i	PRON
ajst-20217	157	41	22	22	NUM
ajst-20217	157	42	.	.	PUNCT
ajst-20217	158	1	springer	springer	NOUN
ajst-20217	158	2	international	international	ADJ
ajst-20217	158	3	publishing	publishing	NOUN
ajst-20217	158	4	,	,	PUNCT
ajst-20217	158	5	2019	2019	NUM
ajst-20217	158	6	:	:	PUNCT
ajst-20217	158	7	721	721	NUM
ajst-20217	158	8	-	-	SYM
ajst-20217	158	9	730	730	NUM
ajst-20217	158	10	.	.	PUNCT
ajst-20217	159	1	[	[	X
ajst-20217	159	2	12	12	NUM
ajst-20217	159	3	]	]	X
ajst-20217	159	4	silva	silva	PROPN
ajst-20217	159	5	j	j	PROPN
ajst-20217	159	6	,	,	PUNCT
ajst-20217	159	7	histace	histace	NOUN
ajst-20217	159	8	a	a	PRON
ajst-20217	159	9	,	,	PUNCT
ajst-20217	159	10	romain	romain	PROPN
ajst-20217	159	11	o	o	NOUN
ajst-20217	159	12	,	,	PUNCT
ajst-20217	159	13	et	et	PROPN
ajst-20217	159	14	al	al	PROPN
ajst-20217	159	15	.	.	PROPN
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ajst-20217	160	2	embedded	embed	VERB
ajst-20217	160	3	detection	detection	NOUN
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ajst-20217	160	5	polyps	polyp	NOUN
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ajst-20217	160	7	wce	wce	NOUN
ajst-20217	160	8	images	image	NOUN
ajst-20217	160	9	for	for	ADP
ajst-20217	160	10	early	early	ADJ
ajst-20217	160	11	diagnosis	diagnosis	NOUN
ajst-20217	160	12	of	of	ADP
ajst-20217	160	13	colorectal	colorectal	ADJ
ajst-20217	160	14	cancer[j	cancer[j	NOUN
ajst-20217	160	15	]	]	PUNCT
ajst-20217	160	16	.	.	PUNCT
ajst-20217	161	1	international	international	ADJ
ajst-20217	161	2	journal	journal	PROPN
ajst-20217	161	3	of	of	ADP
ajst-20217	161	4	computer	computer	NOUN
ajst-20217	161	5	assisted	assist	VERB
ajst-20217	161	6	radiology	radiology	NOUN
ajst-20217	161	7	and	and	CCONJ
ajst-20217	161	8	surgery	surgery	NOUN
ajst-20217	161	9	,	,	PUNCT
ajst-20217	161	10	2014	2014	NUM
ajst-20217	161	11	,	,	PUNCT
ajst-20217	161	12	9	9	NUM
ajst-20217	161	13	:	:	SYM
ajst-20217	161	14	283	283	NUM
ajst-20217	161	15	-	-	SYM
ajst-20217	161	16	293	293	NUM
ajst-20217	161	17	.	.	PUNCT
ajst-20217	162	1	[	[	X
ajst-20217	162	2	13	13	NUM
ajst-20217	162	3	]	]	SYM
ajst-20217	162	4	bernal	bernal	PROPN
ajst-20217	162	5	j	j	PROPN
ajst-20217	162	6	,	,	PUNCT
ajst-20217	162	7	sánchez	sánchez	PROPN
ajst-20217	162	8	f	f	PROPN
ajst-20217	162	9	j	j	PROPN
ajst-20217	162	10	,	,	PUNCT
ajst-20217	162	11	fernández	fernández	PROPN
ajst-20217	162	12	-	-	PUNCT
ajst-20217	162	13	esparrach	esparrach	PROPN
ajst-20217	162	14	g	g	NOUN
ajst-20217	162	15	,	,	PUNCT
ajst-20217	162	16	et	et	PROPN
ajst-20217	162	17	al	al	PROPN
ajst-20217	162	18	.	.	PROPN
ajst-20217	162	19	wmdova	wmdova	PROPN
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ajst-20217	162	21	for	for	ADP
ajst-20217	162	22	accurate	accurate	ADJ
ajst-20217	162	23	polyp	polyp	NOUN
ajst-20217	162	24	highlighting	highlight	VERB
ajst-20217	162	25	in	in	ADP
ajst-20217	162	26	colonoscopy	colonoscopy	NOUN
ajst-20217	162	27	:	:	PUNCT
ajst-20217	162	28	validation	validation	NOUN
ajst-20217	162	29	vs.	vs.	ADP
ajst-20217	162	30	saliency	saliency	NOUN
ajst-20217	162	31	maps	map	NOUN
ajst-20217	162	32	from	from	ADP
ajst-20217	162	33	physicians[j	physicians[j	NOUN
ajst-20217	162	34	]	]	PUNCT
ajst-20217	162	35	.	.	PUNCT
ajst-20217	163	1	computerized	computerized	ADJ
ajst-20217	163	2	medical	medical	ADJ
ajst-20217	163	3	imaging	imaging	NOUN
ajst-20217	163	4	and	and	CCONJ
ajst-20217	163	5	graphics	graphic	NOUN
ajst-20217	163	6	,	,	PUNCT
ajst-20217	163	7	2015	2015	NUM
ajst-20217	163	8	,	,	PUNCT
ajst-20217	163	9	43	43	NUM
ajst-20217	163	10	:	:	SYM
ajst-20217	163	11	99	99	NUM
ajst-20217	163	12	-	-	SYM
ajst-20217	163	13	111	111	NUM
ajst-20217	163	14	.	.	PUNCT
ajst-20217	164	1	[	[	X
ajst-20217	164	2	14	14	NUM
ajst-20217	164	3	]	]	X
ajst-20217	164	4	tajbakhsh	tajbakhsh	NOUN
ajst-20217	164	5	n	n	CCONJ
ajst-20217	164	6	,	,	PUNCT
ajst-20217	164	7	gurudu	gurudu	NOUN
ajst-20217	164	8	s	s	PROPN
ajst-20217	164	9	r	r	NOUN
ajst-20217	164	10	,	,	PUNCT
ajst-20217	164	11	liang	liang	PROPN
ajst-20217	164	12	j.	j.	PROPN
ajst-20217	164	13	automated	automate	VERB
ajst-20217	164	14	polyp	polyp	NOUN
ajst-20217	164	15	detection	detection	NOUN
ajst-20217	164	16	in	in	ADP
ajst-20217	164	17	colonoscopy	colonoscopy	NOUN
ajst-20217	164	18	videos	video	NOUN
ajst-20217	164	19	using	use	VERB
ajst-20217	164	20	shape	shape	NOUN
ajst-20217	164	21	and	and	CCONJ
ajst-20217	164	22	context	context	NOUN
ajst-20217	164	23	information[j	information[j	PROPN
ajst-20217	164	24	]	]	PUNCT
ajst-20217	164	25	.	.	PUNCT
ajst-20217	165	1	ieee	ieee	NOUN
ajst-20217	165	2	transactions	transaction	NOUN
ajst-20217	165	3	on	on	ADP
ajst-20217	165	4	medical	medical	ADJ
ajst-20217	165	5	imaging	imaging	NOUN
ajst-20217	165	6	,	,	PUNCT
ajst-20217	165	7	2015	2015	NUM
ajst-20217	165	8	,	,	PUNCT
ajst-20217	165	9	35(2	35(2	NUM
ajst-20217	165	10	):	):	PUNCT
ajst-20217	165	11	630	630	NUM
ajst-20217	165	12	-	-	SYM
ajst-20217	165	13	644	644	NUM
ajst-20217	165	14	.	.	PUNCT
ajst-20217	166	1	[	[	X
ajst-20217	166	2	15	15	NUM
ajst-20217	166	3	]	]	X
ajst-20217	166	4	vázquez	vázquez	NOUN
ajst-20217	166	5	d	d	PROPN
ajst-20217	166	6	,	,	PUNCT
ajst-20217	166	7	bernal	bernal	PROPN
ajst-20217	166	8	j	j	PROPN
ajst-20217	166	9	,	,	PUNCT
ajst-20217	166	10	sánchez	sánchez	PROPN
ajst-20217	166	11	f	f	PROPN
ajst-20217	166	12	j	j	PROPN
ajst-20217	166	13	,	,	PUNCT
ajst-20217	166	14	et	et	PROPN
ajst-20217	166	15	al	al	PROPN
ajst-20217	166	16	.	.	PUNCT
ajst-20217	167	1	a	a	DET
ajst-20217	167	2	benchmark	benchmark	NOUN
ajst-20217	167	3	for	for	ADP
ajst-20217	167	4	endoluminal	endoluminal	ADJ
ajst-20217	167	5	scene	scene	NOUN
ajst-20217	167	6	segmentation	segmentation	NOUN
ajst-20217	167	7	of	of	ADP
ajst-20217	167	8	colonoscopy	colonoscopy	NOUN
ajst-20217	167	9	images[j	images[j	PROPN
ajst-20217	167	10	]	]	PUNCT
ajst-20217	167	11	.	.	PUNCT
ajst-20217	168	1	journal	journal	PROPN
ajst-20217	168	2	of	of	ADP
ajst-20217	168	3	healthcare	healthcare	PROPN
ajst-20217	168	4	engineering	engineering	PROPN
ajst-20217	168	5	,	,	PUNCT
ajst-20217	168	6	2017	2017	NUM
ajst-20217	168	7	,	,	PUNCT
ajst-20217	168	8	2017	2017	NUM
ajst-20217	168	9	.	.	PUNCT
ajst-20217	169	1	[	[	X
ajst-20217	169	2	16	16	NUM
ajst-20217	169	3	]	]	PUNCT
ajst-20217	169	4	jha	jha	PROPN
ajst-20217	169	5	d	d	PROPN
ajst-20217	169	6	,	,	PUNCT
ajst-20217	169	7	smedsrud	smedsrud	NOUN
ajst-20217	169	8	p	p	PROPN
ajst-20217	169	9	h	h	NOUN
ajst-20217	169	10	,	,	PUNCT
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ajst-20217	169	12	m	m	PROPN
ajst-20217	169	13	a	a	PROPN
ajst-20217	169	14	,	,	PUNCT
ajst-20217	169	15	et	et	PROPN
ajst-20217	169	16	al	al	PROPN
ajst-20217	169	17	.	.	PUNCT
ajst-20217	170	1	kvasir	kvasir	PROPN
ajst-20217	170	2	-	-	PUNCT
ajst-20217	170	3	seg	seg	PROPN
ajst-20217	170	4	:	:	PUNCT
ajst-20217	170	5	a	a	DET
ajst-20217	170	6	segmented	segment	VERB
ajst-20217	170	7	polyp	polyp	NOUN
ajst-20217	170	8	dataset[c]//multimedia	dataset[c]//multimedia	PROPN
ajst-20217	170	9	modeling	modeling	NOUN
ajst-20217	170	10	:	:	PUNCT
ajst-20217	170	11	26th	26th	ADJ
ajst-20217	170	12	international	international	ADJ
ajst-20217	170	13	conference	conference	NOUN
ajst-20217	170	14	,	,	PUNCT
ajst-20217	170	15	mmm	mmm	NOUN
ajst-20217	170	16	2020	2020	NUM
ajst-20217	170	17	,	,	PUNCT
ajst-20217	170	18	daejeon	daejeon	NOUN
ajst-20217	170	19	,	,	PUNCT
ajst-20217	170	20	south	south	PROPN
ajst-20217	170	21	korea	korea	PROPN
ajst-20217	170	22	,	,	PUNCT
ajst-20217	170	23	january	january	PROPN
ajst-20217	170	24	5–8	5–8	NUM
ajst-20217	170	25	,	,	PUNCT
ajst-20217	170	26	2020	2020	NUM
ajst-20217	170	27	,	,	PUNCT
ajst-20217	170	28	proceedings	proceeding	NOUN
ajst-20217	170	29	,	,	PUNCT
ajst-20217	170	30	part	part	NOUN
ajst-20217	170	31	ii	ii	PROPN
ajst-20217	170	32	26	26	NUM
ajst-20217	170	33	.	.	PUNCT
ajst-20217	171	1	springer	springer	NOUN
ajst-20217	171	2	international	international	ADJ
ajst-20217	171	3	publishing	publishing	NOUN
ajst-20217	171	4	,	,	PUNCT
ajst-20217	171	5	2020	2020	NUM
ajst-20217	171	6	:	:	PUNCT
ajst-20217	171	7	451	451	NUM
ajst-20217	171	8	-	-	SYM
ajst-20217	171	9	462	462	NUM
ajst-20217	171	10	.	.	PUNCT
ajst-20217	172	1	[	[	X
ajst-20217	172	2	17	17	NUM
ajst-20217	172	3	]	]	X
ajst-20217	172	4	loshchilov	loshchilov	PROPN
ajst-20217	172	5	i	i	PROPN
ajst-20217	172	6	,	,	PUNCT
ajst-20217	172	7	hutter	hutter	PROPN
ajst-20217	172	8	f.	f.	PROPN
ajst-20217	172	9	decoupled	decouple	VERB
ajst-20217	172	10	weight	weight	NOUN
ajst-20217	172	11	decay	decay	NOUN
ajst-20217	172	12	regularization[c]//international	regularization[c]//international	ADJ
ajst-20217	172	13	conference	conference	NOUN
ajst-20217	172	14	on	on	ADP
ajst-20217	172	15	learning	learn	VERB
ajst-20217	172	16	representations	representation	NOUN
ajst-20217	172	17	.	.	PUNCT
ajst-20217	173	1	2018	2018	NUM
ajst-20217	173	2	.	.	PUNCT
ajst-20217	174	1	[	[	X
ajst-20217	174	2	18	18	NUM
ajst-20217	174	3	]	]	X
ajst-20217	174	4	chen	chen	PROPN
ajst-20217	174	5	j	j	PROPN
ajst-20217	174	6	,	,	PUNCT
ajst-20217	174	7	lu	lu	PROPN
ajst-20217	174	8	y	y	PROPN
ajst-20217	174	9	,	,	PUNCT
ajst-20217	174	10	yu	yu	PROPN
ajst-20217	174	11	q	q	PROPN
ajst-20217	174	12	,	,	PUNCT
ajst-20217	174	13	et	et	PROPN
ajst-20217	174	14	al	al	PROPN
ajst-20217	174	15	.	.	PUNCT
ajst-20217	174	16	transunet	transunet	PROPN
ajst-20217	174	17	:	:	PUNCT
ajst-20217	174	18	transformers	transformer	NOUN
ajst-20217	174	19	make	make	VERB
ajst-20217	174	20	strong	strong	ADJ
ajst-20217	174	21	encoders	encoder	NOUN
ajst-20217	174	22	for	for	ADP
ajst-20217	174	23	medical	medical	ADJ
ajst-20217	174	24	image	image	NOUN
ajst-20217	174	25	segmentation[j	segmentation[j	PROPN
ajst-20217	174	26	]	]	PUNCT
ajst-20217	174	27	.	.	PUNCT
ajst-20217	175	1	arxiv	arxiv	PROPN
ajst-20217	175	2	preprint	preprint	NOUN
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ajst-20217	175	4	,	,	PUNCT
ajst-20217	175	5	2021	2021	NUM
ajst-20217	175	6	.	.	PUNCT
ajst-20217	176	1	[	[	X
ajst-20217	176	2	19	19	NUM
ajst-20217	176	3	]	]	X
ajst-20217	176	4	wei	wei	PROPN
ajst-20217	176	5	j	j	PROPN
ajst-20217	176	6	,	,	PUNCT
ajst-20217	176	7	hu	hu	PROPN
ajst-20217	176	8	y	y	PROPN
ajst-20217	176	9	,	,	PUNCT
ajst-20217	176	10	zhang	zhang	PROPN
ajst-20217	176	11	r	r	PROPN
ajst-20217	176	12	,	,	PUNCT
ajst-20217	176	13	et	et	PROPN
ajst-20217	176	14	al	al	PROPN
ajst-20217	176	15	.	.	PROPN
ajst-20217	176	16	shallow	shallow	PROPN
ajst-20217	176	17	attention	attention	NOUN
ajst-20217	176	18	network	network	NOUN
ajst-20217	176	19	for	for	ADP
ajst-20217	176	20	polyp	polyp	NOUN
ajst-20217	176	21	segmentation[c]//medical	segmentation[c]//medical	ADJ
ajst-20217	176	22	image	image	NOUN
ajst-20217	176	23	computing	computing	NOUN
ajst-20217	176	24	and	and	CCONJ
ajst-20217	176	25	computer	computer	NOUN
ajst-20217	176	26	assisted	assist	VERB
ajst-20217	176	27	intervention	intervention	NOUN
ajst-20217	176	28	–	–	PUNCT
ajst-20217	176	29	miccai	miccai	NOUN
ajst-20217	176	30	2021	2021	NUM
ajst-20217	176	31	:	:	PUNCT
ajst-20217	176	32	24th	24th	ADJ
ajst-20217	176	33	international	international	ADJ
ajst-20217	176	34	conference	conference	NOUN
ajst-20217	176	35	,	,	PUNCT
ajst-20217	176	36	strasbourg	strasbourg	NOUN
ajst-20217	176	37	,	,	PUNCT
ajst-20217	176	38	france	france	PROPN
ajst-20217	176	39	,	,	PUNCT
ajst-20217	176	40	september	september	PROPN
ajst-20217	176	41	27	27	NUM
ajst-20217	176	42	–	–	PUNCT
ajst-20217	176	43	october	october	PROPN
ajst-20217	176	44	1	1	NUM
ajst-20217	176	45	,	,	PUNCT
ajst-20217	176	46	2021	2021	NUM
ajst-20217	176	47	,	,	PUNCT
ajst-20217	176	48	proceedings	proceeding	NOUN
ajst-20217	176	49	,	,	PUNCT
ajst-20217	176	50	part	part	NOUN
ajst-20217	176	51	i	i	PRON
ajst-20217	176	52	24	24	NUM
ajst-20217	176	53	.	.	PUNCT
ajst-20217	177	1	springer	springer	NOUN
ajst-20217	177	2	international	international	ADJ
ajst-20217	177	3	publishing	publishing	NOUN
ajst-20217	177	4	,	,	PUNCT
ajst-20217	177	5	2021	2021	NUM
ajst-20217	177	6	:	:	PUNCT
ajst-20217	178	1	699	699	NUM
ajst-20217	178	2	-	-	SYM
ajst-20217	178	3	708	708	NUM
ajst-20217	178	4	.	.	PUNCT
ajst-20217	179	1	[	[	X
ajst-20217	179	2	20	20	NUM
ajst-20217	179	3	]	]	X
ajst-20217	179	4	fang	fang	PROPN
ajst-20217	179	5	y	y	PROPN
ajst-20217	179	6	,	,	PUNCT
ajst-20217	179	7	chen	chen	PROPN
ajst-20217	179	8	c	c	PROPN
ajst-20217	179	9	,	,	PUNCT
ajst-20217	179	10	yuan	yuan	PROPN
ajst-20217	179	11	y	y	PROPN
ajst-20217	179	12	,	,	PUNCT
ajst-20217	179	13	et	et	PROPN
ajst-20217	180	1	al	al	PROPN
ajst-20217	180	2	.	.	PROPN
ajst-20217	180	3	selective	selective	ADJ
ajst-20217	180	4	feature	feature	NOUN
ajst-20217	180	5	aggregation	aggregation	NOUN
ajst-20217	180	6	network	network	NOUN
ajst-20217	180	7	with	with	ADP
ajst-20217	180	8	area	area	NOUN
ajst-20217	180	9	-	-	PUNCT
ajst-20217	180	10	boundary	boundary	NOUN
ajst-20217	180	11	constraints	constraint	NOUN
ajst-20217	180	12	for	for	ADP
ajst-20217	180	13	polyp	polyp	NOUN
ajst-20217	180	14	segmentation[c]//medical	segmentation[c]//medical	ADJ
ajst-20217	180	15	image	image	NOUN
ajst-20217	180	16	computing	computing	NOUN
ajst-20217	180	17	and	and	CCONJ
ajst-20217	180	18	computer	computer	NOUN
ajst-20217	180	19	assisted	assist	VERB
ajst-20217	180	20	intervention	intervention	NOUN
ajst-20217	180	21	–	–	PUNCT
ajst-20217	180	22	miccai	miccai	NOUN
ajst-20217	180	23	2019	2019	NUM
ajst-20217	180	24	:	:	PUNCT
ajst-20217	180	25	22nd	22nd	ADJ
ajst-20217	180	26	international	international	ADJ
ajst-20217	180	27	conference	conference	NOUN
ajst-20217	180	28	,	,	PUNCT
ajst-20217	180	29	shenzhen	shenzhen	PROPN
ajst-20217	180	30	,	,	PUNCT
ajst-20217	180	31	china	china	PROPN
ajst-20217	180	32	,	,	PUNCT
ajst-20217	180	33	october	october	PROPN
ajst-20217	180	34	13–17	13–17	NUM
ajst-20217	180	35	,	,	PUNCT
ajst-20217	180	36	2019	2019	NUM
ajst-20217	180	37	,	,	PUNCT
ajst-20217	180	38	proceedings	proceeding	NOUN
ajst-20217	180	39	,	,	PUNCT
ajst-20217	180	40	part	part	NOUN
ajst-20217	180	41	i	i	PRON
ajst-20217	180	42	22	22	NUM
ajst-20217	180	43	.	.	PUNCT
ajst-20217	181	1	springer	springer	NOUN
ajst-20217	181	2	international	international	ADJ
ajst-20217	181	3	publishing	publishing	NOUN
ajst-20217	181	4	,	,	PUNCT
ajst-20217	181	5	2019	2019	NUM
ajst-20217	181	6	:	:	PUNCT
ajst-20217	181	7	302	302	NUM
ajst-20217	181	8	-	-	SYM
ajst-20217	181	9	310	310	NUM
ajst-20217	181	10	.	.	PUNCT
ajst-20217	182	1	[	[	X
ajst-20217	182	2	21	21	NUM
ajst-20217	182	3	]	]	X
ajst-20217	182	4	patel	patel	PROPN
ajst-20217	182	5	k	k	PROPN
ajst-20217	182	6	,	,	PUNCT
ajst-20217	182	7	bur	bur	PROPN
ajst-20217	182	8	a	a	DET
ajst-20217	182	9	m	m	PROPN
ajst-20217	182	10	,	,	PUNCT
ajst-20217	182	11	wang	wang	PROPN
ajst-20217	182	12	g.	g.	PROPN
ajst-20217	182	13	enhanced	enhance	VERB
ajst-20217	182	14	u	u	NOUN
ajst-20217	182	15	-	-	NOUN
ajst-20217	182	16	net	net	ADJ
ajst-20217	182	17	:	:	PUNCT
ajst-20217	182	18	a	a	DET
ajst-20217	182	19	feature	feature	NOUN
ajst-20217	182	20	enhancement	enhancement	NOUN
ajst-20217	182	21	network	network	NOUN
ajst-20217	182	22	for	for	ADP
ajst-20217	182	23	polyp	polyp	NOUN
ajst-20217	182	24	segmentation[c]//2021	segmentation[c]//2021	NUM
ajst-20217	182	25	18th	18th	ADJ
ajst-20217	182	26	conference	conference	NOUN
ajst-20217	182	27	on	on	ADP
ajst-20217	182	28	robots	robot	NOUN
ajst-20217	182	29	and	and	CCONJ
ajst-20217	182	30	vision	vision	NOUN
ajst-20217	182	31	(	(	PUNCT
ajst-20217	182	32	crv	crv	PROPN
ajst-20217	182	33	)	)	PUNCT
ajst-20217	182	34	.	.	PUNCT
ajst-20217	183	1	ieee	ieee	NOUN
ajst-20217	183	2	,	,	PUNCT
ajst-20217	183	3	2021	2021	NUM
ajst-20217	183	4	:	:	PUNCT
ajst-20217	183	5	181188	181188	NUM
ajst-20217	183	6	.	.	PUNCT