id	sid	tid	token	lemma	pos
ajst-32533	1	1	1	1	NUM
ajst-32533	1	2	research	research	NOUN
ajst-32533	1	3	and	and	CCONJ
ajst-32533	1	4	implementation	implementation	NOUN
ajst-32533	1	5	of	of	ADP
ajst-32533	1	6	colorectal	colorectal	ADJ
ajst-32533	1	7	cancer	cancer	NOUN
ajst-32533	1	8	tumour	tumour	NOUN
ajst-32533	1	9	segmentation	segmentation	NOUN
ajst-32533	1	10	algorithm	algorithm	NOUN
ajst-32533	1	11	based	base	VERB
ajst-32533	1	12	on	on	ADP
ajst-32533	1	13	dra	dra	PROPN
ajst-32533	1	14	-	-	PUNCT
ajst-32533	1	15	unet	unet	NOUN
ajst-32533	1	16	yuqian	yuqian	NOUN
ajst-32533	1	17	wang	wang	PROPN
ajst-32533	1	18	1	1	NUM
ajst-32533	1	19	,	,	PUNCT
ajst-32533	1	20	a	a	DET
ajst-32533	1	21	,	,	PUNCT
ajst-32533	1	22	aksyonov	aksyonov	PROPN
ajst-32533	1	23	sergey	sergey	PROPN
ajst-32533	1	24	vladimirovich	vladimirovich	ADV
ajst-32533	1	25	1	1	NUM
ajst-32533	1	26	,	,	PUNCT
ajst-32533	1	27	qilun	qilun	PROPN
ajst-32533	1	28	li	li	PROPN
ajst-32533	1	29	2	2	NUM
ajst-32533	1	30	1	1	NUM
ajst-32533	1	31	tomsk	tomsk	PROPN
ajst-32533	1	32	polytechnic	polytechnic	PROPN
ajst-32533	1	33	university	university	PROPN
ajst-32533	1	34	,	,	PUNCT
ajst-32533	1	35	tomsk	tomsk	PROPN
ajst-32533	1	36	,	,	PUNCT
ajst-32533	1	37	ghent	ghent	PROPN
ajst-32533	1	38	oblast	oblast	NOUN
ajst-32533	1	39	,	,	PUNCT
ajst-32533	1	40	russia	russia	PROPN
ajst-32533	1	41	2	2	NUM
ajst-32533	1	42	tomsk	tomsk	PROPN
ajst-32533	1	43	state	state	PROPN
ajst-32533	1	44	university	university	PROPN
ajst-32533	1	45	,	,	PUNCT
ajst-32533	1	46	tomsk	tomsk	PROPN
ajst-32533	1	47	,	,	PUNCT
ajst-32533	1	48	russia	russia	PROPN
ajst-32533	1	49	a	a	DET
ajst-32533	1	50	578985030@qq.com	578985030@qq.com	NUM
ajst-32533	1	51	abstract	abstract	NOUN
ajst-32533	1	52	.	.	PUNCT
ajst-32533	2	1	fully	fully	ADV
ajst-32533	2	2	convolutional	convolutional	ADJ
ajst-32533	2	3	neural	neural	ADJ
ajst-32533	2	4	networks	network	NOUN
ajst-32533	2	5	often	often	ADV
ajst-32533	2	6	suffer	suffer	VERB
ajst-32533	2	7	from	from	ADP
ajst-32533	2	8	information	information	NOUN
ajst-32533	2	9	loss	loss	NOUN
ajst-32533	2	10	and	and	CCONJ
ajst-32533	2	11	suboptimal	suboptimal	ADJ
ajst-32533	2	12	accuracy	accuracy	NOUN
ajst-32533	2	13	in	in	ADP
ajst-32533	2	14	medical	medical	ADJ
ajst-32533	2	15	image	image	NOUN
ajst-32533	2	16	segmentation	segmentation	NOUN
ajst-32533	2	17	tasks	task	NOUN
ajst-32533	2	18	.	.	PUNCT
ajst-32533	3	1	to	to	PART
ajst-32533	3	2	mitigate	mitigate	VERB
ajst-32533	3	3	these	these	DET
ajst-32533	3	4	issues	issue	NOUN
ajst-32533	3	5	for	for	ADP
ajst-32533	3	6	rectal	rectal	ADJ
ajst-32533	3	7	tumor	tumor	NOUN
ajst-32533	3	8	analysis	analysis	NOUN
ajst-32533	3	9	,	,	PUNCT
ajst-32533	3	10	we	we	PRON
ajst-32533	3	11	propose	propose	VERB
ajst-32533	3	12	an	an	DET
ajst-32533	3	13	improved	improved	ADJ
ajst-32533	3	14	u	u	ADJ
ajst-32533	3	15	-	-	ADJ
ajst-32533	3	16	net	net	ADJ
ajst-32533	3	17	architecture	architecture	NOUN
ajst-32533	3	18	,	,	PUNCT
ajst-32533	3	19	designated	designate	VERB
ajst-32533	3	20	as	as	ADP
ajst-32533	3	21	deep	deep	ADJ
ajst-32533	3	22	residual	residual	ADJ
ajst-32533	3	23	attention	attention	NOUN
ajst-32533	3	24	u	u	NOUN
ajst-32533	3	25	-	-	NOUN
ajst-32533	3	26	net	net	ADJ
ajst-32533	3	27	(	(	PUNCT
ajst-32533	3	28	draunet	draunet	NOUN
ajst-32533	3	29	)	)	PUNCT
ajst-32533	3	30	.	.	PUNCT
ajst-32533	4	1	first	first	ADV
ajst-32533	4	2	,	,	PUNCT
ajst-32533	4	3	deep	deep	ADJ
ajst-32533	4	4	residual	residual	ADJ
ajst-32533	4	5	modules	module	NOUN
ajst-32533	4	6	replace	replace	VERB
ajst-32533	4	7	the	the	DET
ajst-32533	4	8	original	original	ADJ
ajst-32533	4	9	convolutional	convolutional	ADJ
ajst-32533	4	10	blocks	block	NOUN
ajst-32533	4	11	.	.	PUNCT
ajst-32533	5	1	this	this	DET
ajst-32533	5	2	substitution	substitution	NOUN
ajst-32533	5	3	enhances	enhance	VERB
ajst-32533	5	4	feature	feature	NOUN
ajst-32533	5	5	extraction	extraction	NOUN
ajst-32533	5	6	capabilities	capability	NOUN
ajst-32533	5	7	while	while	SCONJ
ajst-32533	5	8	mitigating	mitigate	VERB
ajst-32533	5	9	network	network	NOUN
ajst-32533	5	10	degradation	degradation	NOUN
ajst-32533	5	11	.	.	PUNCT
ajst-32533	6	1	secondly	secondly	ADV
ajst-32533	6	2	,	,	PUNCT
ajst-32533	6	3	an	an	DET
ajst-32533	6	4	attention	attention	NOUN
ajst-32533	6	5	mechanism	mechanism	NOUN
ajst-32533	6	6	is	be	AUX
ajst-32533	6	7	added	add	VERB
ajst-32533	6	8	between	between	ADP
ajst-32533	6	9	each	each	DET
ajst-32533	6	10	jump	jump	NOUN
ajst-32533	6	11	connection	connection	NOUN
ajst-32533	6	12	of	of	ADP
ajst-32533	6	13	the	the	DET
ajst-32533	6	14	u	u	NOUN
ajst-32533	6	15	-	-	NOUN
ajst-32533	6	16	net	net	ADJ
ajst-32533	6	17	to	to	PART
ajst-32533	6	18	focus	focus	VERB
ajst-32533	6	19	attention	attention	NOUN
ajst-32533	6	20	on	on	ADP
ajst-32533	6	21	the	the	DET
ajst-32533	6	22	features	feature	NOUN
ajst-32533	6	23	useful	useful	ADJ
ajst-32533	6	24	for	for	ADP
ajst-32533	6	25	segmentation	segmentation	NOUN
ajst-32533	6	26	and	and	CCONJ
ajst-32533	6	27	suppress	suppress	VERB
ajst-32533	6	28	redundant	redundant	ADJ
ajst-32533	6	29	features	feature	NOUN
ajst-32533	6	30	;	;	PUNCT
ajst-32533	6	31	finally	finally	ADV
ajst-32533	6	32	,	,	PUNCT
ajst-32533	6	33	a	a	DET
ajst-32533	6	34	diceloss	diceloss	NOUN
ajst-32533	6	35	loss	loss	NOUN
ajst-32533	6	36	function	function	NOUN
ajst-32533	6	37	is	be	AUX
ajst-32533	6	38	used	use	VERB
ajst-32533	6	39	to	to	PART
ajst-32533	6	40	alleviate	alleviate	VERB
ajst-32533	6	41	the	the	DET
ajst-32533	6	42	class	class	NOUN
ajst-32533	6	43	imbalance	imbalance	NOUN
ajst-32533	6	44	problem	problem	NOUN
ajst-32533	6	45	.	.	PUNCT
ajst-32533	7	1	experimental	experimental	ADJ
ajst-32533	7	2	validation	validation	NOUN
ajst-32533	7	3	was	be	AUX
ajst-32533	7	4	performed	perform	VERB
ajst-32533	7	5	on	on	ADP
ajst-32533	7	6	a	a	DET
ajst-32533	7	7	colorectal	colorectal	ADJ
ajst-32533	7	8	cancer	cancer	NOUN
ajst-32533	7	9	ct	ct	NUM
ajst-32533	7	10	image	image	NOUN
ajst-32533	7	11	dataset	dataset	NOUN
ajst-32533	7	12	,	,	PUNCT
ajst-32533	7	13	with	with	SCONJ
ajst-32533	7	14	segmentation	segmentation	NOUN
ajst-32533	7	15	performance	performance	NOUN
ajst-32533	7	16	quantified	quantify	VERB
ajst-32533	7	17	using	use	VERB
ajst-32533	7	18	the	the	DET
ajst-32533	7	19	dice	dice	NOUN
ajst-32533	7	20	coefficient	coefficient	NOUN
ajst-32533	7	21	.	.	PUNCT
ajst-32533	8	1	the	the	DET
ajst-32533	8	2	experimental	experimental	ADJ
ajst-32533	8	3	results	result	NOUN
ajst-32533	8	4	demonstrate	demonstrate	VERB
ajst-32533	8	5	that	that	SCONJ
ajst-32533	8	6	the	the	DET
ajst-32533	8	7	proposed	propose	VERB
ajst-32533	8	8	method	method	NOUN
ajst-32533	8	9	achieves	achieve	VERB
ajst-32533	8	10	a	a	DET
ajst-32533	8	11	segmentation	segmentation	NOUN
ajst-32533	8	12	accuracy	accuracy	NOUN
ajst-32533	8	13	of	of	ADP
ajst-32533	8	14	91.38	91.38	NUM
ajst-32533	8	15	%	%	NOUN
ajst-32533	8	16	for	for	ADP
ajst-32533	8	17	colorectal	colorectal	ADJ
ajst-32533	8	18	cancer	cancer	NOUN
ajst-32533	8	19	tumors	tumor	NOUN
ajst-32533	8	20	.	.	PUNCT
ajst-32533	9	1	this	this	PRON
ajst-32533	9	2	represents	represent	VERB
ajst-32533	9	3	a	a	DET
ajst-32533	9	4	significant	significant	ADJ
ajst-32533	9	5	improvement	improvement	NOUN
ajst-32533	9	6	over	over	ADP
ajst-32533	9	7	existing	exist	VERB
ajst-32533	9	8	models	model	NOUN
ajst-32533	9	9	,	,	PUNCT
ajst-32533	9	10	with	with	ADP
ajst-32533	9	11	performance	performance	NOUN
ajst-32533	9	12	gains	gain	NOUN
ajst-32533	9	13	of	of	ADP
ajst-32533	9	14	9.08	9.08	NUM
ajst-32533	9	15	%	%	NOUN
ajst-32533	9	16	,	,	PUNCT
ajst-32533	9	17	6.61	6.61	NUM
ajst-32533	9	18	%	%	NOUN
ajst-32533	9	19	,	,	PUNCT
ajst-32533	9	20	and	and	CCONJ
ajst-32533	9	21	4.73	4.73	NUM
ajst-32533	9	22	%	%	NOUN
ajst-32533	9	23	compared	compare	VERB
ajst-32533	9	24	to	to	ADP
ajst-32533	9	25	the	the	DET
ajst-32533	9	26	fcn	fcn	PROPN
ajst-32533	9	27	,	,	PUNCT
ajst-32533	9	28	u	u	NOUN
ajst-32533	9	29	-	-	NOUN
ajst-32533	9	30	net	net	ADJ
ajst-32533	9	31	,	,	PUNCT
ajst-32533	9	32	and	and	CCONJ
ajst-32533	9	33	dense	dense	ADJ
ajst-32533	9	34	-	-	PUNCT
ajst-32533	9	35	unet	unet	NOUN
ajst-32533	9	36	frameworks	framework	NOUN
ajst-32533	9	37	,	,	PUNCT
ajst-32533	9	38	respectively	respectively	ADV
ajst-32533	9	39	.	.	PUNCT
ajst-32533	10	1	these	these	DET
ajst-32533	10	2	comparative	comparative	ADJ
ajst-32533	10	3	outcomes	outcome	NOUN
ajst-32533	10	4	confirm	confirm	VERB
ajst-32533	10	5	the	the	DET
ajst-32533	10	6	effectiveness	effectiveness	NOUN
ajst-32533	10	7	and	and	CCONJ
ajst-32533	10	8	superiority	superiority	NOUN
ajst-32533	10	9	of	of	ADP
ajst-32533	10	10	our	our	PRON
ajst-32533	10	11	approach	approach	NOUN
ajst-32533	10	12	.	.	PUNCT
ajst-32533	11	1	keywords	keyword	NOUN
ajst-32533	11	2	:	:	PUNCT
ajst-32533	11	3	u	u	NOUN
ajst-32533	11	4	-	-	NOUN
ajst-32533	11	5	net	net	ADJ
ajst-32533	11	6	;	;	PUNCT
ajst-32533	11	7	attentional	attentional	ADJ
ajst-32533	11	8	mechanisms	mechanism	NOUN
ajst-32533	11	9	;	;	PUNCT
ajst-32533	11	10	depth	depth	NOUN
ajst-32533	11	11	residual	residual	ADJ
ajst-32533	11	12	structure	structure	NOUN
ajst-32533	11	13	;	;	PUNCT
ajst-32533	11	14	rectal	rectal	ADJ
ajst-32533	11	15	tumor	tumor	NOUN
ajst-32533	11	16	.	.	PUNCT
ajst-32533	12	1	1	1	X
ajst-32533	12	2	.	.	X
ajst-32533	12	3	introduction	introduction	NOUN
ajst-32533	12	4	colorectal	colorectal	ADJ
ajst-32533	12	5	cancer	cancer	NOUN
ajst-32533	12	6	refers	refer	VERB
ajst-32533	12	7	to	to	ADP
ajst-32533	12	8	a	a	DET
ajst-32533	12	9	malignant	malignant	ADJ
ajst-32533	12	10	growth	growth	NOUN
ajst-32533	12	11	that	that	PRON
ajst-32533	12	12	develops	develop	VERB
ajst-32533	12	13	between	between	ADP
ajst-32533	12	14	the	the	DET
ajst-32533	12	15	dentate	dentate	ADJ
ajst-32533	12	16	line	line	NOUN
ajst-32533	12	17	and	and	CCONJ
ajst-32533	12	18	where	where	SCONJ
ajst-32533	12	19	the	the	DET
ajst-32533	12	20	rectum	rectum	NOUN
ajst-32533	12	21	meets	meet	VERB
ajst-32533	12	22	the	the	DET
ajst-32533	12	23	sigmoid	sigmoid	NOUN
ajst-32533	12	24	colon	colon	NOUN
ajst-32533	12	25	,	,	PUNCT
ajst-32533	12	26	making	make	VERB
ajst-32533	12	27	it	it	PRON
ajst-32533	12	28	one	one	NUM
ajst-32533	12	29	of	of	ADP
ajst-32533	12	30	the	the	DET
ajst-32533	12	31	most	most	ADV
ajst-32533	12	32	prevalent	prevalent	ADJ
ajst-32533	12	33	cancers	cancer	NOUN
ajst-32533	12	34	affecting	affect	VERB
ajst-32533	12	35	the	the	DET
ajst-32533	12	36	digestive	digestive	NOUN
ajst-32533	12	37	system[1	system[1	ADP
ajst-32533	12	38	]	]	X
ajst-32533	12	39	.	.	PUNCT
ajst-32533	13	1	this	this	DET
ajst-32533	13	2	deadly	deadly	ADJ
ajst-32533	13	3	disease	disease	NOUN
ajst-32533	13	4	has	have	AUX
ajst-32533	13	5	become	become	VERB
ajst-32533	13	6	a	a	DET
ajst-32533	13	7	global	global	ADJ
ajst-32533	13	8	health	health	NOUN
ajst-32533	13	9	crisis	crisis	NOUN
ajst-32533	13	10	,	,	PUNCT
ajst-32533	13	11	with	with	ADP
ajst-32533	13	12	both	both	CCONJ
ajst-32533	13	13	its	its	PRON
ajst-32533	13	14	occurrence	occurrence	NOUN
ajst-32533	13	15	and	and	CCONJ
ajst-32533	13	16	death	death	NOUN
ajst-32533	13	17	toll	toll	NOUN
ajst-32533	13	18	climbing	climb	VERB
ajst-32533	13	19	steadily	steadily	ADV
ajst-32533	13	20	while	while	SCONJ
ajst-32533	13	21	affecting	affect	VERB
ajst-32533	13	22	increasingly	increasingly	ADV
ajst-32533	13	23	younger	young	ADJ
ajst-32533	13	24	populations	population	NOUN
ajst-32533	13	25	—	—	PUNCT
ajst-32533	13	26	currently	currently	ADV
ajst-32533	13	27	standing	stand	VERB
ajst-32533	13	28	as	as	ADP
ajst-32533	13	29	the	the	DET
ajst-32533	13	30	fifth	fifth	ADJ
ajst-32533	13	31	most	most	ADV
ajst-32533	13	32	common	common	ADJ
ajst-32533	13	33	cancer	cancer	NOUN
ajst-32533	13	34	worldwide	worldwide	ADV
ajst-32533	13	35	.	.	PUNCT
ajst-32533	14	1	what	what	PRON
ajst-32533	14	2	's	be	AUX
ajst-32533	14	3	particularly	particularly	ADV
ajst-32533	14	4	concerning	concern	VERB
ajst-32533	14	5	is	be	AUX
ajst-32533	14	6	how	how	SCONJ
ajst-32533	14	7	this	this	DET
ajst-32533	14	8	illness	illness	NOUN
ajst-32533	14	9	has	have	AUX
ajst-32533	14	10	been	be	AUX
ajst-32533	14	11	striking	strike	VERB
ajst-32533	14	12	people	people	NOUN
ajst-32533	14	13	at	at	ADP
ajst-32533	14	14	younger	young	ADJ
ajst-32533	14	15	ages	age	NOUN
ajst-32533	14	16	and	and	CCONJ
ajst-32533	14	17	claiming	claim	VERB
ajst-32533	14	18	more	more	ADJ
ajst-32533	14	19	lives	life	NOUN
ajst-32533	14	20	with	with	ADP
ajst-32533	14	21	each	each	PRON
ajst-32533	14	22	passing	pass	VERB
ajst-32533	14	23	year[2	year[2	PROPN
ajst-32533	14	24	]	]	PUNCT
ajst-32533	14	25	.	.	PUNCT
ajst-32533	15	1	colorectal	colorectal	ADJ
ajst-32533	15	2	cancer	cancer	NOUN
ajst-32533	15	3	usually	usually	ADV
ajst-32533	15	4	progresses	progress	VERB
ajst-32533	15	5	slowly	slowly	ADV
ajst-32533	15	6	and	and	CCONJ
ajst-32533	15	7	can	can	AUX
ajst-32533	15	8	be	be	AUX
ajst-32533	15	9	prevented	prevent	VERB
ajst-32533	15	10	if	if	SCONJ
ajst-32533	15	11	rectal	rectal	ADJ
ajst-32533	15	12	tumors	tumor	NOUN
ajst-32533	15	13	are	be	AUX
ajst-32533	15	14	detected	detect	VERB
ajst-32533	15	15	and	and	CCONJ
ajst-32533	15	16	removed	remove	VERB
ajst-32533	15	17	before	before	SCONJ
ajst-32533	15	18	they	they	PRON
ajst-32533	15	19	develop	develop	VERB
ajst-32533	15	20	into	into	ADP
ajst-32533	15	21	cancer[3	cancer[3	PROPN
ajst-32533	15	22	]	]	X
ajst-32533	15	23	.	.	PUNCT
ajst-32533	16	1	therefore	therefore	ADV
ajst-32533	16	2	,	,	PUNCT
ajst-32533	16	3	localization	localization	NOUN
ajst-32533	16	4	and	and	CCONJ
ajst-32533	16	5	identification	identification	NOUN
ajst-32533	16	6	of	of	ADP
ajst-32533	16	7	rectal	rectal	ADJ
ajst-32533	16	8	tumors	tumor	NOUN
ajst-32533	16	9	is	be	AUX
ajst-32533	16	10	the	the	DET
ajst-32533	16	11	basis	basis	NOUN
ajst-32533	16	12	and	and	CCONJ
ajst-32533	16	13	key	key	NOUN
ajst-32533	16	14	to	to	ADP
ajst-32533	16	15	the	the	DET
ajst-32533	16	16	diagnosis	diagnosis	NOUN
ajst-32533	16	17	and	and	CCONJ
ajst-32533	16	18	treatment	treatment	NOUN
ajst-32533	16	19	of	of	ADP
ajst-32533	16	20	colorectal	colorectal	NOUN
ajst-32533	16	21	cancer[4	cancer[4	NOUN
ajst-32533	16	22	]	]	PUNCT
ajst-32533	16	23	.	.	PUNCT
ajst-32533	17	1	generally	generally	ADV
ajst-32533	17	2	,	,	PUNCT
ajst-32533	17	3	the	the	DET
ajst-32533	17	4	physician	physician	NOUN
ajst-32533	17	5	views	view	VERB
ajst-32533	17	6	the	the	DET
ajst-32533	17	7	patient	patient	NOUN
ajst-32533	17	8	's	's	PART
ajst-32533	17	9	computed	compute	VERB
ajst-32533	17	10	tomography	tomography	NOUN
ajst-32533	17	11	(	(	PUNCT
ajst-32533	17	12	ct	ct	NOUN
ajst-32533	17	13	)	)	PUNCT
ajst-32533	17	14	image	image	NOUN
ajst-32533	17	15	to	to	PART
ajst-32533	17	16	diagnose	diagnose	VERB
ajst-32533	17	17	the	the	DET
ajst-32533	17	18	presence	presence	NOUN
ajst-32533	17	19	of	of	ADP
ajst-32533	17	20	tumors	tumor	NOUN
ajst-32533	17	21	and	and	CCONJ
ajst-32533	17	22	potential	potential	ADJ
ajst-32533	17	23	colorectal	colorectal	ADJ
ajst-32533	17	24	cancer	cancer	NOUN
ajst-32533	17	25	,	,	PUNCT
ajst-32533	17	26	if	if	SCONJ
ajst-32533	17	27	present	present	ADJ
ajst-32533	17	28	,	,	PUNCT
ajst-32533	17	29	to	to	PART
ajst-32533	17	30	mark	mark	VERB
ajst-32533	17	31	the	the	DET
ajst-32533	17	32	area	area	NOUN
ajst-32533	17	33	of	of	ADP
ajst-32533	17	34	rectal	rectal	ADJ
ajst-32533	17	35	tumor	tumor	NOUN
ajst-32533	17	36	for	for	ADP
ajst-32533	17	37	surgery[5	surgery[5	NOUN
ajst-32533	17	38	]	]	X
ajst-32533	17	39	.	.	PUNCT
ajst-32533	18	1	identifying	identify	VERB
ajst-32533	18	2	rectal	rectal	ADJ
ajst-32533	18	3	tumors	tumor	NOUN
ajst-32533	18	4	on	on	ADP
ajst-32533	18	5	ct	ct	PROPN
ajst-32533	18	6	scans	scan	NOUN
ajst-32533	18	7	can	can	AUX
ajst-32533	18	8	be	be	AUX
ajst-32533	18	9	quite	quite	ADV
ajst-32533	18	10	tricky	tricky	ADJ
ajst-32533	18	11	since	since	SCONJ
ajst-32533	18	12	they	they	PRON
ajst-32533	18	13	often	often	ADV
ajst-32533	18	14	do	do	AUX
ajst-32533	18	15	n't	not	PART
ajst-32533	18	16	stand	stand	VERB
ajst-32533	18	17	out	out	ADP
ajst-32533	18	18	clearly	clearly	ADV
ajst-32533	18	19	,	,	PUNCT
ajst-32533	18	20	necessitating	necessitate	VERB
ajst-32533	18	21	the	the	DET
ajst-32533	18	22	sharp	sharp	ADJ
ajst-32533	18	23	eye	eye	NOUN
ajst-32533	18	24	of	of	ADP
ajst-32533	18	25	a	a	DET
ajst-32533	18	26	seasoned	season	VERB
ajst-32533	18	27	medic	medic	NOUN
ajst-32533	18	28	to	to	PART
ajst-32533	18	29	pinpoint	pinpoint	VERB
ajst-32533	18	30	and	and	CCONJ
ajst-32533	18	31	demarcate	demarcate	VERB
ajst-32533	18	32	the	the	DET
ajst-32533	18	33	affected	affected	ADJ
ajst-32533	18	34	area	area	NOUN
ajst-32533	18	35	.	.	PUNCT
ajst-32533	19	1	when	when	SCONJ
ajst-32533	19	2	less	less	ADV
ajst-32533	19	3	experienced	experienced	ADJ
ajst-32533	19	4	or	or	CCONJ
ajst-32533	19	5	inattentive	inattentive	ADJ
ajst-32533	19	6	clinicians	clinician	NOUN
ajst-32533	19	7	handle	handle	VERB
ajst-32533	19	8	these	these	DET
ajst-32533	19	9	cases	case	NOUN
ajst-32533	19	10	,	,	PUNCT
ajst-32533	19	11	there	there	PRON
ajst-32533	19	12	's	be	VERB
ajst-32533	19	13	a	a	DET
ajst-32533	19	14	real	real	ADJ
ajst-32533	19	15	risk	risk	NOUN
ajst-32533	19	16	of	of	ADP
ajst-32533	19	17	either	either	DET
ajst-32533	19	18	overlooking	overlooking	NOUN
ajst-32533	19	19	or	or	CCONJ
ajst-32533	19	20	incorrectly	incorrectly	ADV
ajst-32533	19	21	diagnosing	diagnose	VERB
ajst-32533	19	22	such	such	ADJ
ajst-32533	19	23	growths	growth	NOUN
ajst-32533	19	24	.	.	PUNCT
ajst-32533	20	1	this	this	DET
ajst-32533	20	2	predicament	predicament	NOUN
ajst-32533	20	3	underscores	underscore	VERB
ajst-32533	20	4	the	the	DET
ajst-32533	20	5	critical	critical	ADJ
ajst-32533	20	6	need	need	NOUN
ajst-32533	20	7	for	for	ADP
ajst-32533	20	8	developing	develop	VERB
ajst-32533	20	9	robust	robust	ADJ
ajst-32533	20	10	algorithms	algorithm	NOUN
ajst-32533	20	11	capable	capable	ADJ
ajst-32533	20	12	of	of	ADP
ajst-32533	20	13	automatically	automatically	ADV
ajst-32533	20	14	segmenting	segment	VERB
ajst-32533	20	15	rectal	rectal	ADJ
ajst-32533	20	16	tumors	tumor	NOUN
ajst-32533	20	17	.	.	PUNCT
ajst-32533	21	1	these	these	DET
ajst-32533	21	2	automated	automate	VERB
ajst-32533	21	3	systems	system	NOUN
ajst-32533	21	4	would	would	AUX
ajst-32533	21	5	not	not	PART
ajst-32533	21	6	only	only	ADV
ajst-32533	21	7	support	support	VERB
ajst-32533	21	8	medical	medical	ADJ
ajst-32533	21	9	practitioners	practitioner	NOUN
ajst-32533	21	10	in	in	ADP
ajst-32533	21	11	their	their	PRON
ajst-32533	21	12	diagnostic	diagnostic	ADJ
ajst-32533	21	13	process	process	NOUN
ajst-32533	21	14	but	but	CCONJ
ajst-32533	21	15	also	also	ADV
ajst-32533	21	16	alleviate	alleviate	VERB
ajst-32533	21	17	their	their	PRON
ajst-32533	21	18	workload	workload	NOUN
ajst-32533	21	19	,	,	PUNCT
ajst-32533	21	20	enhance	enhance	VERB
ajst-32533	21	21	the	the	DET
ajst-32533	21	22	precision	precision	NOUN
ajst-32533	21	23	of	of	ADP
ajst-32533	21	24	colorectal	colorectal	ADJ
ajst-32533	21	25	cancer	cancer	NOUN
ajst-32533	21	26	detection	detection	NOUN
ajst-32533	21	27	,	,	PUNCT
ajst-32533	21	28	and	and	CCONJ
ajst-32533	21	29	ultimately	ultimately	ADV
ajst-32533	21	30	buy	buy	VERB
ajst-32533	21	31	patients	patient	NOUN
ajst-32533	21	32	precious	precious	ADJ
ajst-32533	21	33	time	time	NOUN
ajst-32533	21	34	in	in	ADP
ajst-32533	21	35	receiving	receive	VERB
ajst-32533	21	36	appropriate	appropriate	ADJ
ajst-32533	21	37	treatment	treatment	NOUN
ajst-32533	21	38	.	.	PUNCT
ajst-32533	22	1	over	over	ADP
ajst-32533	22	2	the	the	DET
ajst-32533	22	3	past	past	ADJ
ajst-32533	22	4	decade	decade	NOUN
ajst-32533	22	5	,	,	PUNCT
ajst-32533	22	6	deep	deep	ADJ
ajst-32533	22	7	learning	learning	NOUN
ajst-32533	22	8	techniques	technique	NOUN
ajst-32533	22	9	have	have	AUX
ajst-32533	22	10	made	make	VERB
ajst-32533	22	11	significant	significant	ADJ
ajst-32533	22	12	inroads	inroad	NOUN
ajst-32533	22	13	across	across	ADP
ajst-32533	22	14	various	various	ADJ
ajst-32533	22	15	computer	computer	NOUN
ajst-32533	22	16	vision	vision	NOUN
ajst-32533	22	17	applications	application	NOUN
ajst-32533	22	18	,	,	PUNCT
ajst-32533	22	19	ranging	range	VERB
ajst-32533	22	20	from	from	ADP
ajst-32533	22	21	image	image	NOUN
ajst-32533	22	22	processing	processing	NOUN
ajst-32533	22	23	to	to	PART
ajst-32533	22	24	object	object	VERB
ajst-32533	22	25	detection	detection	NOUN
ajst-32533	22	26	.	.	PUNCT
ajst-32533	23	1	the	the	DET
ajst-32533	23	2	success	success	NOUN
ajst-32533	23	3	of	of	ADP
ajst-32533	23	4	these	these	DET
ajst-32533	23	5	approaches	approach	NOUN
ajst-32533	23	6	can	can	AUX
ajst-32533	23	7	largely	largely	ADV
ajst-32533	23	8	be	be	AUX
ajst-32533	23	9	attributed	attribute	VERB
ajst-32533	23	10	to	to	ADP
ajst-32533	23	11	convolutional	convolutional	ADJ
ajst-32533	23	12	neural	neural	ADJ
ajst-32533	23	13	networks	network	NOUN
ajst-32533	23	14	(	(	PUNCT
ajst-32533	23	15	cnn	cnn	PROPN
ajst-32533	23	16	)	)	PUNCT
ajst-32533	23	17	,	,	PUNCT
ajst-32533	23	18	first	first	ADV
ajst-32533	23	19	introduced	introduce	VERB
ajst-32533	23	20	to	to	PART
ajst-32533	23	21	image	image	VERB
ajst-32533	23	22	classification	classification	NOUN
ajst-32533	23	23	by	by	ADP
ajst-32533	23	24	lecun	lecun	PROPN
ajst-32533	23	25	et	et	PROPN
ajst-32533	23	26	al	al	PROPN
ajst-32533	23	27	.	.	PUNCT
ajst-32533	24	1	[	[	X
ajst-32533	24	2	6	6	NUM
ajst-32533	24	3	]	]	PUNCT
ajst-32533	24	4	,	,	PUNCT
ajst-32533	24	5	which	which	PRON
ajst-32533	24	6	quickly	quickly	ADV
ajst-32533	24	7	stole	steal	VERB
ajst-32533	24	8	the	the	DET
ajst-32533	24	9	spotlight	spotlight	NOUN
ajst-32533	24	10	in	in	ADP
ajst-32533	24	11	the	the	DET
ajst-32533	24	12	machine	machine	NOUN
ajst-32533	24	13	learning	learn	VERB
ajst-32533	24	14	community	community	NOUN
ajst-32533	24	15	.	.	PUNCT
ajst-32533	25	1	unlike	unlike	ADP
ajst-32533	25	2	conventional	conventional	ADJ
ajst-32533	25	3	segmentation	segmentation	NOUN
ajst-32533	25	4	methods	method	NOUN
ajst-32533	25	5	,	,	PUNCT
ajst-32533	25	6	their	their	PRON
ajst-32533	25	7	deep	deep	ADJ
ajst-32533	25	8	learning	learning	NOUN
ajst-32533	25	9	counterparts	counterpart	NOUN
ajst-32533	25	10	possess	possess	VERB
ajst-32533	25	11	the	the	DET
ajst-32533	25	12	2	2	NUM
ajst-32533	25	13	unique	unique	ADJ
ajst-32533	25	14	ability	ability	NOUN
ajst-32533	25	15	to	to	PART
ajst-32533	25	16	independently	independently	ADV
ajst-32533	25	17	adapt	adapt	VERB
ajst-32533	25	18	to	to	ADP
ajst-32533	25	19	specific	specific	ADJ
ajst-32533	25	20	tasks	task	NOUN
ajst-32533	25	21	while	while	SCONJ
ajst-32533	25	22	delivering	deliver	VERB
ajst-32533	25	23	impressive	impressive	ADJ
ajst-32533	25	24	performance	performance	NOUN
ajst-32533	25	25	[	[	X
ajst-32533	25	26	7	7	NUM
ajst-32533	25	27	]	]	PUNCT
ajst-32533	25	28	.	.	PUNCT
ajst-32533	26	1	deep	deep	ADJ
ajst-32533	26	2	learning	learning	NOUN
ajst-32533	26	3	methods	method	NOUN
ajst-32533	26	4	have	have	AUX
ajst-32533	26	5	also	also	ADV
ajst-32533	26	6	been	be	AUX
ajst-32533	26	7	widely	widely	ADV
ajst-32533	26	8	used	use	VERB
ajst-32533	26	9	in	in	ADP
ajst-32533	26	10	rectal	rectal	ADJ
ajst-32533	26	11	tumor	tumor	NOUN
ajst-32533	26	12	segmentation	segmentation	NOUN
ajst-32533	26	13	,	,	PUNCT
ajst-32533	26	14	such	such	ADJ
ajst-32533	26	15	as	as	ADP
ajst-32533	26	16	a	a	DET
ajst-32533	26	17	regiongrowth	regiongrowth	NOUN
ajst-32533	26	18	-	-	PUNCT
ajst-32533	26	19	based	base	VERB
ajst-32533	26	20	colorectal	colorectal	ADJ
ajst-32533	26	21	cancer	cancer	NOUN
ajst-32533	26	22	tumor	tumor	NOUN
ajst-32533	26	23	segmentation	segmentation	NOUN
ajst-32533	26	24	algorithm	algorithm	NOUN
ajst-32533	26	25	proposed	propose	VERB
ajst-32533	26	26	in	in	ADP
ajst-32533	26	27	the	the	DET
ajst-32533	26	28	literature[8	literature[8	NOUN
ajst-32533	26	29	]	]	PUNCT
ajst-32533	26	30	,	,	PUNCT
ajst-32533	26	31	but	but	CCONJ
ajst-32533	26	32	the	the	DET
ajst-32533	26	33	algorithm	algorithm	NOUN
ajst-32533	26	34	requires	require	VERB
ajst-32533	26	35	human	human	ADJ
ajst-32533	26	36	to	to	PART
ajst-32533	26	37	give	give	VERB
ajst-32533	26	38	the	the	DET
ajst-32533	26	39	intensity	intensity	NOUN
ajst-32533	26	40	signal	signal	NOUN
ajst-32533	26	41	of	of	ADP
ajst-32533	26	42	the	the	DET
ajst-32533	26	43	tumor	tumor	NOUN
ajst-32533	26	44	region	region	NOUN
ajst-32533	26	45	during	during	ADP
ajst-32533	26	46	the	the	DET
ajst-32533	26	47	segmentation	segmentation	NOUN
ajst-32533	26	48	process	process	NOUN
ajst-32533	26	49	,	,	PUNCT
ajst-32533	26	50	and	and	CCONJ
ajst-32533	26	51	the	the	DET
ajst-32533	26	52	whole	whole	ADJ
ajst-32533	26	53	process	process	NOUN
ajst-32533	26	54	also	also	ADV
ajst-32533	26	55	requires	require	VERB
ajst-32533	26	56	human	human	ADJ
ajst-32533	26	57	-	-	PUNCT
ajst-32533	26	58	computer	computer	NOUN
ajst-32533	26	59	interaction	interaction	NOUN
ajst-32533	26	60	,	,	PUNCT
ajst-32533	26	61	and	and	CCONJ
ajst-32533	26	62	it	it	PRON
ajst-32533	26	63	is	be	AUX
ajst-32533	26	64	easy	easy	ADJ
ajst-32533	26	65	to	to	PART
ajst-32533	26	66	cause	cause	VERB
ajst-32533	26	67	oversegmentation	oversegmentation	NOUN
ajst-32533	26	68	.	.	PUNCT
ajst-32533	27	1	a	a	DET
ajst-32533	27	2	segmentation	segmentation	NOUN
ajst-32533	27	3	algorithm	algorithm	NOUN
ajst-32533	27	4	for	for	ADP
ajst-32533	27	5	colorectal	colorectal	ADJ
ajst-32533	27	6	cancer	cancer	NOUN
ajst-32533	27	7	tumor	tumor	NOUN
ajst-32533	27	8	level	level	NOUN
ajst-32533	27	9	set	set	NOUN
ajst-32533	27	10	was	be	AUX
ajst-32533	27	11	proposed	propose	VERB
ajst-32533	27	12	in	in	ADP
ajst-32533	27	13	the	the	DET
ajst-32533	27	14	literature[9	literature[9	NOUN
ajst-32533	27	15	]	]	X
ajst-32533	27	16	,	,	PUNCT
ajst-32533	27	17	which	which	PRON
ajst-32533	27	18	is	be	AUX
ajst-32533	27	19	insensitive	insensitive	ADJ
ajst-32533	27	20	to	to	ADP
ajst-32533	27	21	the	the	DET
ajst-32533	27	22	boundary	boundary	NOUN
ajst-32533	27	23	,	,	PUNCT
ajst-32533	27	24	and	and	CCONJ
ajst-32533	27	25	the	the	DET
ajst-32533	27	26	segmentation	segmentation	NOUN
ajst-32533	27	27	effect	effect	NOUN
ajst-32533	27	28	is	be	AUX
ajst-32533	27	29	not	not	PART
ajst-32533	27	30	good	good	ADJ
ajst-32533	27	31	when	when	SCONJ
ajst-32533	27	32	the	the	DET
ajst-32533	27	33	boundary	boundary	NOUN
ajst-32533	27	34	exists	exist	VERB
ajst-32533	27	35	ambiguous	ambiguous	ADJ
ajst-32533	27	36	situation	situation	NOUN
ajst-32533	27	37	.	.	PUNCT
ajst-32533	28	1	according	accord	VERB
ajst-32533	28	2	to	to	ADP
ajst-32533	28	3	the	the	DET
ajst-32533	28	4	literature[10	literature[10	NOUN
ajst-32533	28	5	]	]	PUNCT
ajst-32533	28	6	,	,	PUNCT
ajst-32533	28	7	researchers	researcher	NOUN
ajst-32533	28	8	introduced	introduce	VERB
ajst-32533	28	9	a	a	DET
ajst-32533	28	10	fully	fully	ADV
ajst-32533	28	11	convolutional	convolutional	ADJ
ajst-32533	28	12	network	network	NOUN
ajst-32533	28	13	(	(	PUNCT
ajst-32533	28	14	fcn	fcn	NOUN
ajst-32533	28	15	)	)	PUNCT
ajst-32533	28	16	approach	approach	NOUN
ajst-32533	28	17	for	for	ADP
ajst-32533	28	18	the	the	DET
ajst-32533	28	19	automatic	automatic	ADJ
ajst-32533	28	20	segmentation	segmentation	NOUN
ajst-32533	28	21	of	of	ADP
ajst-32533	28	22	colorectal	colorectal	ADJ
ajst-32533	28	23	cancer	cancer	NOUN
ajst-32533	28	24	tumors	tumor	NOUN
ajst-32533	28	25	in	in	ADP
ajst-32533	28	26	mri	mri	NOUN
ajst-32533	28	27	scans	scan	NOUN
ajst-32533	28	28	.	.	PUNCT
ajst-32533	29	1	this	this	DET
ajst-32533	29	2	technique	technique	NOUN
ajst-32533	29	3	leverages	leverage	VERB
ajst-32533	29	4	a	a	DET
ajst-32533	29	5	pre	pre	ADJ
ajst-32533	29	6	-	-	ADJ
ajst-32533	29	7	trained	train	VERB
ajst-32533	29	8	resnet50	resnet50	NOUN
ajst-32533	29	9	model	model	NOUN
ajst-32533	29	10	as	as	ADP
ajst-32533	29	11	its	its	PRON
ajst-32533	29	12	backbone	backbone	NOUN
ajst-32533	29	13	for	for	ADP
ajst-32533	29	14	feature	feature	NOUN
ajst-32533	29	15	extraction	extraction	NOUN
ajst-32533	29	16	,	,	PUNCT
ajst-32533	29	17	while	while	SCONJ
ajst-32533	29	18	incorporating	incorporate	VERB
ajst-32533	29	19	three	three	NUM
ajst-32533	29	20	specialized	specialized	ADJ
ajst-32533	29	21	edge	edge	NOUN
ajst-32533	29	22	output	output	NOUN
ajst-32533	29	23	modules	module	NOUN
ajst-32533	29	24	within	within	ADP
ajst-32533	29	25	the	the	DET
ajst-32533	29	26	network	network	NOUN
ajst-32533	29	27	's	's	PART
ajst-32533	29	28	hidden	hide	VERB
ajst-32533	29	29	layers	layer	NOUN
ajst-32533	29	30	to	to	PART
ajst-32533	29	31	capture	capture	VERB
ajst-32533	29	32	multi	multi	ADJ
ajst-32533	29	33	-	-	ADJ
ajst-32533	29	34	scale	scale	ADJ
ajst-32533	29	35	information	information	NOUN
ajst-32533	29	36	from	from	ADP
ajst-32533	29	37	the	the	DET
ajst-32533	29	38	medical	medical	ADJ
ajst-32533	29	39	images	image	NOUN
ajst-32533	29	40	.	.	PUNCT
ajst-32533	30	1	ultimately	ultimately	ADV
ajst-32533	30	2	,	,	PUNCT
ajst-32533	30	3	the	the	DET
ajst-32533	30	4	segmentation	segmentation	NOUN
ajst-32533	30	5	results	result	NOUN
ajst-32533	30	6	are	be	AUX
ajst-32533	30	7	generated	generate	VERB
ajst-32533	30	8	by	by	ADP
ajst-32533	30	9	fusing	fuse	VERB
ajst-32533	30	10	these	these	DET
ajst-32533	30	11	three	three	NUM
ajst-32533	30	12	edge	edge	NOUN
ajst-32533	30	13	outputs	output	NOUN
ajst-32533	30	14	,	,	PUNCT
ajst-32533	30	15	providing	provide	VERB
ajst-32533	30	16	a	a	DET
ajst-32533	30	17	comprehensive	comprehensive	ADJ
ajst-32533	30	18	analysis	analysis	NOUN
ajst-32533	30	19	of	of	ADP
ajst-32533	30	20	the	the	DET
ajst-32533	30	21	tumor	tumor	NOUN
ajst-32533	30	22	boundaries	boundary	NOUN
ajst-32533	30	23	.	.	PUNCT
ajst-32533	31	1	in	in	ADP
ajst-32533	31	2	2015	2015	NUM
ajst-32533	31	3	,	,	PUNCT
ajst-32533	31	4	ronneberger	ronneberger	NOUN
ajst-32533	31	5	et	et	PROPN
ajst-32533	31	6	al	al	PROPN
ajst-32533	31	7	.	.	PUNCT
ajst-32533	32	1	[	[	X
ajst-32533	32	2	11]introduced	11]introduce	VERB
ajst-32533	32	3	the	the	DET
ajst-32533	32	4	u	u	ADJ
ajst-32533	32	5	-	-	ADJ
ajst-32533	32	6	net	net	ADJ
ajst-32533	32	7	architecture	architecture	NOUN
ajst-32533	32	8	,	,	PUNCT
ajst-32533	32	9	which	which	PRON
ajst-32533	32	10	features	feature	VERB
ajst-32533	32	11	a	a	DET
ajst-32533	32	12	symmetric	symmetric	ADJ
ajst-32533	32	13	encoder	encoder	NOUN
ajst-32533	32	14	-	-	PUNCT
ajst-32533	32	15	decoder	decoder	NOUN
ajst-32533	32	16	design	design	NOUN
ajst-32533	32	17	.	.	PUNCT
ajst-32533	33	1	the	the	DET
ajst-32533	33	2	encoder	encoder	NOUN
ajst-32533	33	3	pathway	pathway	NOUN
ajst-32533	33	4	progressively	progressively	ADV
ajst-32533	33	5	compresses	compress	VERB
ajst-32533	33	6	the	the	DET
ajst-32533	33	7	input	input	NOUN
ajst-32533	33	8	image	image	NOUN
ajst-32533	33	9	through	through	ADP
ajst-32533	33	10	a	a	DET
ajst-32533	33	11	series	series	NOUN
ajst-32533	33	12	of	of	ADP
ajst-32533	33	13	convolutional	convolutional	ADJ
ajst-32533	33	14	and	and	CCONJ
ajst-32533	33	15	downsampling	downsample	VERB
ajst-32533	33	16	operations	operation	NOUN
ajst-32533	33	17	,	,	PUNCT
ajst-32533	33	18	thereby	thereby	ADV
ajst-32533	33	19	capturing	capture	VERB
ajst-32533	33	20	hierarchical	hierarchical	ADJ
ajst-32533	33	21	feature	feature	NOUN
ajst-32533	33	22	representations	representation	NOUN
ajst-32533	33	23	.	.	PUNCT
ajst-32533	34	1	conversely	conversely	ADV
ajst-32533	34	2	,	,	PUNCT
ajst-32533	34	3	the	the	DET
ajst-32533	34	4	decoder	decoder	NOUN
ajst-32533	34	5	pathway	pathway	NOUN
ajst-32533	34	6	utilizes	utilize	VERB
ajst-32533	34	7	upsampling	upsampling	NOUN
ajst-32533	34	8	and	and	CCONJ
ajst-32533	34	9	convolution	convolution	NOUN
ajst-32533	34	10	to	to	PART
ajst-32533	34	11	reconstruct	reconstruct	VERB
ajst-32533	34	12	the	the	DET
ajst-32533	34	13	encoded	encode	VERB
ajst-32533	34	14	features	feature	NOUN
ajst-32533	34	15	into	into	ADP
ajst-32533	34	16	a	a	DET
ajst-32533	34	17	full	full	ADJ
ajst-32533	34	18	-	-	PUNCT
ajst-32533	34	19	resolution	resolution	NOUN
ajst-32533	34	20	binary	binary	ADJ
ajst-32533	34	21	segmentation	segmentation	NOUN
ajst-32533	34	22	mask	mask	NOUN
ajst-32533	34	23	.	.	PUNCT
ajst-32533	35	1	this	this	DET
ajst-32533	35	2	process	process	NOUN
ajst-32533	35	3	ultimately	ultimately	ADV
ajst-32533	35	4	produces	produce	VERB
ajst-32533	35	5	the	the	DET
ajst-32533	35	6	final	final	ADJ
ajst-32533	35	7	pixel	pixel	ADJ
ajst-32533	35	8	-	-	ADJ
ajst-32533	35	9	wise	wise	ADJ
ajst-32533	35	10	classification	classification	NOUN
ajst-32533	35	11	output	output	NOUN
ajst-32533	35	12	.	.	PUNCT
ajst-32533	36	1	the	the	DET
ajst-32533	36	2	literature	literature	NOUN
ajst-32533	36	3	introduces	introduce	VERB
ajst-32533	36	4	an	an	DET
ajst-32533	36	5	algorithm	algorithm	NOUN
ajst-32533	36	6	reminiscent	reminiscent	ADJ
ajst-32533	36	7	of	of	ADP
ajst-32533	36	8	the	the	DET
ajst-32533	36	9	2d	2d	NUM
ajst-32533	36	10	u	u	ADJ
ajst-32533	36	11	-	-	ADJ
ajst-32533	36	12	net	net	ADJ
ajst-32533	36	13	model	model	NOUN
ajst-32533	36	14	for	for	ADP
ajst-32533	36	15	rectal	rectal	ADJ
ajst-32533	36	16	tumor	tumor	NOUN
ajst-32533	36	17	segmentation	segmentation	NOUN
ajst-32533	36	18	,	,	PUNCT
ajst-32533	36	19	which	which	PRON
ajst-32533	36	20	hits	hit	VERB
ajst-32533	36	21	the	the	DET
ajst-32533	36	22	ground	ground	NOUN
ajst-32533	36	23	running	run	VERB
ajst-32533	36	24	with	with	ADP
ajst-32533	36	25	a	a	DET
ajst-32533	36	26	two	two	NUM
ajst-32533	36	27	-	-	PUNCT
ajst-32533	36	28	stage	stage	NOUN
ajst-32533	36	29	training	training	NOUN
ajst-32533	36	30	approach	approach	NOUN
ajst-32533	36	31	to	to	PART
ajst-32533	36	32	boost	boost	VERB
ajst-32533	36	33	efficiency	efficiency	NOUN
ajst-32533	36	34	.	.	PUNCT
ajst-32533	37	1	by	by	ADP
ajst-32533	37	2	capitalizing	capitalize	VERB
ajst-32533	37	3	on	on	ADP
ajst-32533	37	4	3d	3d	NUM
ajst-32533	37	5	image	image	NOUN
ajst-32533	37	6	data	datum	NOUN
ajst-32533	37	7	and	and	CCONJ
ajst-32533	37	8	feeding	feed	VERB
ajst-32533	37	9	the	the	DET
ajst-32533	37	10	network	network	NOUN
ajst-32533	37	11	a	a	DET
ajst-32533	37	12	5	5	NUM
ajst-32533	37	13	-	-	PUNCT
ajst-32533	37	14	channel	channel	NOUN
ajst-32533	37	15	tensor	tensor	NOUN
ajst-32533	37	16	,	,	PUNCT
ajst-32533	37	17	this	this	DET
ajst-32533	37	18	method	method	NOUN
ajst-32533	37	19	really	really	ADV
ajst-32533	37	20	hits	hit	VERB
ajst-32533	37	21	the	the	DET
ajst-32533	37	22	nail	nail	NOUN
ajst-32533	37	23	on	on	ADP
ajst-32533	37	24	the	the	DET
ajst-32533	37	25	head	head	NOUN
ajst-32533	37	26	when	when	SCONJ
ajst-32533	37	27	it	it	PRON
ajst-32533	37	28	comes	come	VERB
ajst-32533	37	29	to	to	ADP
ajst-32533	37	30	optimizing	optimize	VERB
ajst-32533	37	31	performance[12	performance[12	NOUN
ajst-32533	37	32	]	]	PUNCT
ajst-32533	37	33	.	.	PUNCT
ajst-32533	38	1	although	although	SCONJ
ajst-32533	38	2	the	the	DET
ajst-32533	38	3	above	above	ADJ
ajst-32533	38	4	model	model	NOUN
ajst-32533	38	5	achieves	achieve	VERB
ajst-32533	38	6	good	good	ADJ
ajst-32533	38	7	segmentation	segmentation	NOUN
ajst-32533	38	8	results	result	NOUN
ajst-32533	38	9	in	in	ADP
ajst-32533	38	10	rectal	rectal	ADJ
ajst-32533	38	11	polyp	polyp	NOUN
ajst-32533	38	12	segmentation	segmentation	NOUN
ajst-32533	38	13	,	,	PUNCT
ajst-32533	38	14	it	it	PRON
ajst-32533	38	15	is	be	AUX
ajst-32533	38	16	not	not	PART
ajst-32533	38	17	ideal	ideal	ADJ
ajst-32533	38	18	for	for	ADP
ajst-32533	38	19	fast	fast	ADJ
ajst-32533	38	20	segmentation	segmentation	NOUN
ajst-32533	38	21	of	of	ADP
ajst-32533	38	22	fine	fine	ADJ
ajst-32533	38	23	tumors	tumor	NOUN
ajst-32533	38	24	.	.	PUNCT
ajst-32533	39	1	specifically	specifically	ADV
ajst-32533	39	2	,	,	PUNCT
ajst-32533	39	3	the	the	DET
ajst-32533	39	4	segmentation	segmentation	NOUN
ajst-32533	39	5	accuracy	accuracy	NOUN
ajst-32533	39	6	for	for	ADP
ajst-32533	39	7	rectal	rectal	ADJ
ajst-32533	39	8	tumor	tumor	NOUN
ajst-32533	39	9	regions	region	NOUN
ajst-32533	39	10	requires	require	VERB
ajst-32533	39	11	further	further	ADJ
ajst-32533	39	12	enhancement	enhancement	NOUN
ajst-32533	39	13	.	.	PUNCT
ajst-32533	40	1	to	to	PART
ajst-32533	40	2	overcome	overcome	VERB
ajst-32533	40	3	these	these	DET
ajst-32533	40	4	limitations	limitation	NOUN
ajst-32533	40	5	,	,	PUNCT
ajst-32533	40	6	this	this	DET
ajst-32533	40	7	paper	paper	NOUN
ajst-32533	40	8	introduces	introduce	VERB
ajst-32533	40	9	a	a	DET
ajst-32533	40	10	ct	ct	NUM
ajst-32533	40	11	image	image	NOUN
ajst-32533	40	12	segmentation	segmentation	NOUN
ajst-32533	40	13	method	method	NOUN
ajst-32533	40	14	for	for	ADP
ajst-32533	40	15	colorectal	colorectal	ADJ
ajst-32533	40	16	cancer	cancer	NOUN
ajst-32533	40	17	that	that	PRON
ajst-32533	40	18	builds	build	VERB
ajst-32533	40	19	upon	upon	SCONJ
ajst-32533	40	20	an	an	DET
ajst-32533	40	21	improved	improved	ADJ
ajst-32533	40	22	u	u	ADJ
ajst-32533	40	23	-	-	ADJ
ajst-32533	40	24	net	net	ADJ
ajst-32533	40	25	architecture	architecture	NOUN
ajst-32533	40	26	.	.	PUNCT
ajst-32533	41	1	2	2	X
ajst-32533	41	2	.	.	X
ajst-32533	41	3	dra	dra	PROPN
ajst-32533	41	4	-	-	PUNCT
ajst-32533	41	5	unet	unet	NOUN
ajst-32533	41	6	network	network	NOUN
ajst-32533	41	7	input	input	NOUN
ajst-32533	41	8	4	4	NUM
ajst-32533	41	9	64	64	NUM
ajst-32533	41	10	64	64	NUM
ajst-32533	41	11	64	64	NUM
ajst-32533	41	12	12	12	NUM
ajst-32533	41	13	8	8	NUM
ajst-32533	41	14	12	12	NUM
ajst-32533	41	15	8	8	NUM
ajst-32533	41	16	12	12	NUM
ajst-32533	41	17	8	8	NUM
ajst-32533	41	18	25	25	NUM
ajst-32533	41	19	6	6	NUM
ajst-32533	41	20	25	25	NUM
ajst-32533	41	21	6	6	NUM
ajst-32533	41	22	25	25	NUM
ajst-32533	41	23	6	6	NUM
ajst-32533	41	24	51	51	NUM
ajst-32533	41	25	2	2	NUM
ajst-32533	41	26	51	51	NUM
ajst-32533	41	27	2	2	NUM
ajst-32533	41	28	51	51	NUM
ajst-32533	41	29	2	2	NUM
ajst-32533	41	30	10	10	NUM
ajst-32533	41	31	24	24	NUM
ajst-32533	41	32	10	10	NUM
ajst-32533	41	33	24	24	NUM
ajst-32533	41	34	10	10	NUM
ajst-32533	41	35	24	24	NUM
ajst-32533	41	36	51	51	NUM
ajst-32533	41	37	2	2	NUM
ajst-32533	41	38	51	51	NUM
ajst-32533	41	39	2	2	NUM
ajst-32533	41	40	51	51	NUM
ajst-32533	41	41	2	2	NUM
ajst-32533	41	42	25	25	NUM
ajst-32533	41	43	6	6	NUM
ajst-32533	41	44	25	25	NUM
ajst-32533	41	45	6	6	NUM
ajst-32533	41	46	25	25	NUM
ajst-32533	41	47	6	6	NUM
ajst-32533	41	48	12	12	NUM
ajst-32533	41	49	8	8	NUM
ajst-32533	41	50	12	12	NUM
ajst-32533	41	51	8	8	NUM
ajst-32533	41	52	12	12	NUM
ajst-32533	41	53	8	8	NUM
ajst-32533	41	54	64	64	NUM
ajst-32533	41	55	64	64	NUM
ajst-32533	41	56	3	3	NUM
ajst-32533	41	57	output	output	NOUN
ajst-32533	41	58	encoding	encode	VERB
ajst-32533	41	59	part	part	NOUN
ajst-32533	41	60	eridging	eridge	VERB
ajst-32533	41	61	part	part	NOUN
ajst-32533	41	62	decoding	decode	VERB
ajst-32533	41	63	part	part	NOUN
ajst-32533	41	64	conv	conv	ADJ
ajst-32533	41	65	3	3	NUM
ajst-32533	41	66	*	*	SYM
ajst-32533	41	67	3,bn	3,bn	NUM
ajst-32533	41	68	,	,	PUNCT
ajst-32533	41	69	relu	relu	NOUN
ajst-32533	41	70	max	max	PROPN
ajst-32533	41	71	pooling	pool	VERB
ajst-32533	41	72	2	2	NUM
ajst-32533	41	73	*	*	SYM
ajst-32533	41	74	2	2	NUM
ajst-32533	41	75	up	up	ADV
ajst-32533	41	76	sampling	sample	VERB
ajst-32533	41	77	2	2	NUM
ajst-32533	41	78	*	*	SYM
ajst-32533	41	79	2	2	NUM
ajst-32533	41	80	conv	conv	ADJ
ajst-32533	41	81	1	1	NUM
ajst-32533	41	82	*	*	SYM
ajst-32533	41	83	1	1	NUM
ajst-32533	41	84	residual	residual	ADJ
ajst-32533	41	85	connect	connect	NOUN
ajst-32533	41	86	skip	skip	ADJ
ajst-32533	41	87	connection	connection	NOUN
ajst-32533	41	88	gating	gate	VERB
ajst-32533	41	89	signal	signal	NOUN
ajst-32533	41	90	classifier	classifier	NOUN
ajst-32533	41	91	addition	addition	NOUN
ajst-32533	41	92	attention	attention	NOUN
ajst-32533	41	93	module	module	NOUN
ajst-32533	41	94	fig	fig	NOUN
ajst-32533	41	95	1	1	NUM
ajst-32533	41	96	.	.	PUNCT
ajst-32533	42	1	dra	dra	PROPN
ajst-32533	42	2	-	-	PUNCT
ajst-32533	42	3	unet	unet	NOUN
ajst-32533	42	4	network	network	NOUN
ajst-32533	42	5	structure	structure	NOUN
ajst-32533	42	6	based	base	VERB
ajst-32533	42	7	on	on	ADP
ajst-32533	42	8	the	the	DET
ajst-32533	42	9	u	u	ADJ
ajst-32533	42	10	-	-	ADJ
ajst-32533	42	11	net	net	ADJ
ajst-32533	42	12	architecture	architecture	NOUN
ajst-32533	42	13	,	,	PUNCT
ajst-32533	42	14	this	this	DET
ajst-32533	42	15	paper	paper	NOUN
ajst-32533	42	16	introduces	introduce	VERB
ajst-32533	42	17	several	several	ADJ
ajst-32533	42	18	key	key	ADJ
ajst-32533	42	19	enhancements	enhancement	NOUN
ajst-32533	42	20	to	to	PART
ajst-32533	42	21	improve	improve	VERB
ajst-32533	42	22	its	its	PRON
ajst-32533	42	23	performance	performance	NOUN
ajst-32533	42	24	.	.	PUNCT
ajst-32533	43	1	first	first	ADV
ajst-32533	43	2	,	,	PUNCT
ajst-32533	43	3	the	the	DET
ajst-32533	43	4	original	original	ADJ
ajst-32533	43	5	convolutional	convolutional	ADJ
ajst-32533	43	6	blocks	block	NOUN
ajst-32533	43	7	in	in	ADP
ajst-32533	43	8	both	both	CCONJ
ajst-32533	43	9	the	the	DET
ajst-32533	43	10	encoder	encoder	NOUN
ajst-32533	43	11	and	and	CCONJ
ajst-32533	43	12	decoder	decoder	NOUN
ajst-32533	43	13	are	be	AUX
ajst-32533	43	14	replaced	replace	VERB
ajst-32533	43	15	with	with	ADP
ajst-32533	43	16	deep	deep	ADJ
ajst-32533	43	17	residual	residual	ADJ
ajst-32533	43	18	modules	module	NOUN
ajst-32533	43	19	.	.	PUNCT
ajst-32533	44	1	this	this	DET
ajst-32533	44	2	modification	modification	NOUN
ajst-32533	44	3	serves	serve	VERB
ajst-32533	44	4	a	a	DET
ajst-32533	44	5	dual	dual	ADJ
ajst-32533	44	6	purpose	purpose	NOUN
ajst-32533	44	7	:	:	PUNCT
ajst-32533	44	8	it	it	PRON
ajst-32533	44	9	simplifies	simplify	VERB
ajst-32533	44	10	the	the	DET
ajst-32533	44	11	training	training	NOUN
ajst-32533	44	12	process	process	NOUN
ajst-32533	44	13	and	and	CCONJ
ajst-32533	44	14	mitigates	mitigate	VERB
ajst-32533	44	15	the	the	DET
ajst-32533	44	16	issue	issue	NOUN
ajst-32533	44	17	of	of	ADP
ajst-32533	44	18	gradient	gradient	ADJ
ajst-32533	44	19	degradation	degradation	NOUN
ajst-32533	44	20	.	.	PUNCT
ajst-32533	45	1	furthermore	furthermore	ADV
ajst-32533	45	2	,	,	PUNCT
ajst-32533	45	3	an	an	DET
ajst-32533	45	4	attention	attention	NOUN
ajst-32533	45	5	mechanism	mechanism	NOUN
ajst-32533	45	6	is	be	AUX
ajst-32533	45	7	incorporated	incorporate	VERB
ajst-32533	45	8	into	into	ADP
ajst-32533	45	9	the	the	DET
ajst-32533	45	10	u	u	NOUN
ajst-32533	45	11	-	-	ADJ
ajst-32533	45	12	net	net	ADJ
ajst-32533	45	13	framework[13	framework[13	NOUN
ajst-32533	45	14	]	]	PUNCT
ajst-32533	45	15	.	.	PUNCT
ajst-32533	46	1	this	this	DET
ajst-32533	46	2	addition	addition	NOUN
ajst-32533	46	3	enables	enable	VERB
ajst-32533	46	4	the	the	DET
ajst-32533	46	5	network	network	NOUN
ajst-32533	46	6	to	to	PART
ajst-32533	46	7	selectively	selectively	ADV
ajst-32533	46	8	concentrate	concentrate	VERB
ajst-32533	46	9	on	on	ADP
ajst-32533	46	10	diagnostically	diagnostically	ADV
ajst-32533	46	11	relevant	relevant	ADJ
ajst-32533	46	12	features	feature	NOUN
ajst-32533	46	13	while	while	SCONJ
ajst-32533	46	14	filtering	filter	VERB
ajst-32533	46	15	out	out	ADP
ajst-32533	46	16	non	non	ADJ
ajst-32533	46	17	-	-	ADJ
ajst-32533	46	18	essential	essential	ADJ
ajst-32533	46	19	information	information	NOUN
ajst-32533	46	20	.	.	PUNCT
ajst-32533	47	1	consequently	consequently	ADV
ajst-32533	47	2	,	,	PUNCT
ajst-32533	47	3	these	these	DET
ajst-32533	47	4	3	3	NUM
ajst-32533	47	5	structural	structural	ADJ
ajst-32533	47	6	improvements	improvement	NOUN
ajst-32533	47	7	collectively	collectively	ADV
ajst-32533	47	8	enhance	enhance	VERB
ajst-32533	47	9	the	the	DET
ajst-32533	47	10	model	model	NOUN
ajst-32533	47	11	's	's	PART
ajst-32533	47	12	segmentation	segmentation	NOUN
ajst-32533	47	13	accuracy	accuracy	NOUN
ajst-32533	47	14	for	for	ADP
ajst-32533	47	15	rectal	rectal	ADJ
ajst-32533	47	16	tumor	tumor	NOUN
ajst-32533	47	17	images	image	NOUN
ajst-32533	47	18	.	.	PUNCT
ajst-32533	48	1	fig	fig	NOUN
ajst-32533	48	2	.	.	PUNCT
ajst-32533	49	1	1	1	NUM
ajst-32533	49	2	illustrates	illustrate	VERB
ajst-32533	49	3	the	the	DET
ajst-32533	49	4	dra	dra	PROPN
ajst-32533	49	5	-	-	PUNCT
ajst-32533	49	6	unet	unet	NOUN
ajst-32533	49	7	network	network	NOUN
ajst-32533	49	8	architecture	architecture	NOUN
ajst-32533	49	9	,	,	PUNCT
ajst-32533	49	10	which	which	PRON
ajst-32533	49	11	is	be	AUX
ajst-32533	49	12	composed	compose	VERB
ajst-32533	49	13	of	of	ADP
ajst-32533	49	14	five	five	NUM
ajst-32533	49	15	key	key	ADJ
ajst-32533	49	16	components	component	NOUN
ajst-32533	49	17	:	:	PUNCT
ajst-32533	49	18	the	the	DET
ajst-32533	49	19	encoding	encoding	NOUN
ajst-32533	49	20	section	section	NOUN
ajst-32533	49	21	,	,	PUNCT
ajst-32533	49	22	decoding	decode	VERB
ajst-32533	49	23	section	section	NOUN
ajst-32533	49	24	,	,	PUNCT
ajst-32533	49	25	bridging	bridging	NOUN
ajst-32533	49	26	section	section	NOUN
ajst-32533	49	27	,	,	PUNCT
ajst-32533	49	28	classifier	classifier	NOUN
ajst-32533	49	29	,	,	PUNCT
ajst-32533	49	30	and	and	CCONJ
ajst-32533	49	31	jump	jump	VERB
ajst-32533	49	32	connection	connection	NOUN
ajst-32533	49	33	.	.	PUNCT
ajst-32533	50	1	the	the	DET
ajst-32533	50	2	first	first	ADJ
ajst-32533	50	3	three	three	NUM
ajst-32533	50	4	sections	section	NOUN
ajst-32533	50	5	—	—	PUNCT
ajst-32533	50	6	encoding	encoding	NOUN
ajst-32533	50	7	,	,	PUNCT
ajst-32533	50	8	decoding	decoding	NOUN
ajst-32533	50	9	,	,	PUNCT
ajst-32533	50	10	and	and	CCONJ
ajst-32533	50	11	bridging	bridging	NOUN
ajst-32533	50	12	—	—	PUNCT
ajst-32533	50	13	are	be	AUX
ajst-32533	50	14	implemented	implement	VERB
ajst-32533	50	15	using	use	VERB
ajst-32533	50	16	one	one	NUM
ajst-32533	50	17	or	or	CCONJ
ajst-32533	50	18	more	more	ADJ
ajst-32533	50	19	deep	deep	ADJ
ajst-32533	50	20	residual	residual	ADJ
ajst-32533	50	21	modules	module	NOUN
ajst-32533	50	22	that	that	PRON
ajst-32533	50	23	feature	feature	VERB
ajst-32533	50	24	a	a	DET
ajst-32533	50	25	specific	specific	ADJ
ajst-32533	50	26	structure	structure	NOUN
ajst-32533	50	27	.	.	PUNCT
ajst-32533	51	1	each	each	DET
ajst-32533	51	2	module	module	NOUN
ajst-32533	51	3	includes	include	VERB
ajst-32533	51	4	an	an	DET
ajst-32533	51	5	input	input	NOUN
ajst-32533	51	6	layer	layer	NOUN
ajst-32533	51	7	,	,	PUNCT
ajst-32533	51	8	followed	follow	VERB
ajst-32533	51	9	by	by	ADP
ajst-32533	51	10	a	a	DET
ajst-32533	51	11	batch	batch	NOUN
ajst-32533	51	12	normalization	normalization	NOUN
ajst-32533	51	13	layer	layer	NOUN
ajst-32533	51	14	,	,	PUNCT
ajst-32533	51	15	a	a	DET
ajst-32533	51	16	relu	relu	NOUN
ajst-32533	51	17	activation	activation	NOUN
ajst-32533	51	18	function	function	NOUN
ajst-32533	51	19	,	,	PUNCT
ajst-32533	51	20	two	two	NUM
ajst-32533	51	21	separate	separate	ADJ
ajst-32533	51	22	3×3	3×3	NUM
ajst-32533	51	23	convolution	convolution	NOUN
ajst-32533	51	24	operations	operation	NOUN
ajst-32533	51	25	,	,	PUNCT
ajst-32533	51	26	a	a	DET
ajst-32533	51	27	constant	constant	ADJ
ajst-32533	51	28	mapping	mapping	NOUN
ajst-32533	51	29	unit	unit	NOUN
ajst-32533	51	30	,	,	PUNCT
ajst-32533	51	31	and	and	CCONJ
ajst-32533	51	32	finally	finally	ADV
ajst-32533	51	33	the	the	DET
ajst-32533	51	34	output	output	NOUN
ajst-32533	51	35	layer	layer	NOUN
ajst-32533	51	36	.	.	PUNCT
ajst-32533	52	1	the	the	DET
ajst-32533	52	2	coding	code	VERB
ajst-32533	52	3	part	part	NOUN
ajst-32533	52	4	contains	contain	VERB
ajst-32533	52	5	4	4	NUM
ajst-32533	52	6	depth	depth	NOUN
ajst-32533	52	7	residual	residual	ADJ
ajst-32533	52	8	modules	module	NOUN
ajst-32533	52	9	and	and	CCONJ
ajst-32533	52	10	a	a	DET
ajst-32533	52	11	maximum	maximum	ADJ
ajst-32533	52	12	pooling	pool	VERB
ajst-32533	52	13	layer	layer	NOUN
ajst-32533	52	14	,	,	PUNCT
ajst-32533	52	15	in	in	ADP
ajst-32533	52	16	which	which	PRON
ajst-32533	52	17	the	the	DET
ajst-32533	52	18	depth	depth	NOUN
ajst-32533	52	19	residual	residual	ADJ
ajst-32533	52	20	modules	module	NOUN
ajst-32533	52	21	are	be	AUX
ajst-32533	52	22	used	use	VERB
ajst-32533	52	23	to	to	PART
ajst-32533	52	24	extract	extract	VERB
ajst-32533	52	25	the	the	DET
ajst-32533	52	26	shallow	shallow	ADJ
ajst-32533	52	27	semantic	semantic	ADJ
ajst-32533	52	28	information	information	NOUN
ajst-32533	52	29	of	of	ADP
ajst-32533	52	30	the	the	DET
ajst-32533	52	31	feature	feature	NOUN
ajst-32533	52	32	map	map	NOUN
ajst-32533	52	33	through	through	ADP
ajst-32533	52	34	the	the	DET
ajst-32533	52	35	residual	residual	ADJ
ajst-32533	52	36	connection	connection	NOUN
ajst-32533	52	37	,	,	PUNCT
ajst-32533	52	38	and	and	CCONJ
ajst-32533	52	39	the	the	DET
ajst-32533	52	40	maximum	maximum	ADJ
ajst-32533	52	41	pooling	pool	VERB
ajst-32533	52	42	layer	layer	NOUN
ajst-32533	52	43	is	be	AUX
ajst-32533	52	44	used	use	VERB
ajst-32533	52	45	for	for	ADP
ajst-32533	52	46	the	the	DET
ajst-32533	52	47	down	down	ADV
ajst-32533	52	48	-	-	PUNCT
ajst-32533	52	49	sampling	sample	VERB
ajst-32533	52	50	operation	operation	NOUN
ajst-32533	52	51	of	of	ADP
ajst-32533	52	52	the	the	DET
ajst-32533	52	53	image	image	NOUN
ajst-32533	52	54	to	to	PART
ajst-32533	52	55	reduce	reduce	VERB
ajst-32533	52	56	the	the	DET
ajst-32533	52	57	size	size	NOUN
ajst-32533	52	58	of	of	ADP
ajst-32533	52	59	the	the	DET
ajst-32533	52	60	feature	feature	NOUN
ajst-32533	52	61	map	map	NOUN
ajst-32533	52	62	,	,	PUNCT
ajst-32533	52	63	and	and	CCONJ
ajst-32533	52	64	the	the	DET
ajst-32533	52	65	number	number	NOUN
ajst-32533	52	66	of	of	ADP
ajst-32533	52	67	channels	channel	NOUN
ajst-32533	52	68	of	of	ADP
ajst-32533	52	69	the	the	DET
ajst-32533	52	70	feature	feature	NOUN
ajst-32533	52	71	map	map	NOUN
ajst-32533	52	72	increases	increase	NOUN
ajst-32533	52	73	as	as	SCONJ
ajst-32533	52	74	the	the	DET
ajst-32533	52	75	size	size	NOUN
ajst-32533	52	76	decreases	decrease	VERB
ajst-32533	52	77	.	.	PUNCT
ajst-32533	53	1	the	the	DET
ajst-32533	53	2	decoding	decode	VERB
ajst-32533	53	3	section	section	NOUN
ajst-32533	53	4	contains	contain	VERB
ajst-32533	53	5	4	4	NUM
ajst-32533	53	6	deep	deep	ADJ
ajst-32533	53	7	residual	residual	ADJ
ajst-32533	53	8	modules	module	NOUN
ajst-32533	53	9	and	and	CCONJ
ajst-32533	53	10	upsampling	upsample	VERB
ajst-32533	53	11	operation	operation	NOUN
ajst-32533	53	12	to	to	PART
ajst-32533	53	13	upsample	upsample	VERB
ajst-32533	53	14	the	the	DET
ajst-32533	53	15	feature	feature	NOUN
ajst-32533	53	16	map	map	NOUN
ajst-32533	53	17	from	from	ADP
ajst-32533	53	18	the	the	DET
ajst-32533	53	19	encoding	encoding	NOUN
ajst-32533	53	20	section	section	NOUN
ajst-32533	53	21	.	.	PUNCT
ajst-32533	54	1	the	the	DET
ajst-32533	54	2	bridging	bridging	NOUN
ajst-32533	54	3	part	part	NOUN
ajst-32533	54	4	is	be	AUX
ajst-32533	54	5	used	use	VERB
ajst-32533	54	6	to	to	PART
ajst-32533	54	7	connect	connect	VERB
ajst-32533	54	8	the	the	DET
ajst-32533	54	9	encoding	encoding	NOUN
ajst-32533	54	10	part	part	NOUN
ajst-32533	54	11	and	and	CCONJ
ajst-32533	54	12	the	the	DET
ajst-32533	54	13	decoding	decode	VERB
ajst-32533	54	14	part	part	NOUN
ajst-32533	54	15	.	.	PUNCT
ajst-32533	55	1	the	the	DET
ajst-32533	55	2	classifier	classifier	NOUN
ajst-32533	55	3	module	module	NOUN
ajst-32533	55	4	is	be	AUX
ajst-32533	55	5	constructed	construct	VERB
ajst-32533	55	6	with	with	ADP
ajst-32533	55	7	two	two	NUM
ajst-32533	55	8	key	key	ADJ
ajst-32533	55	9	components	component	NOUN
ajst-32533	55	10	:	:	PUNCT
ajst-32533	55	11	a	a	DET
ajst-32533	55	12	1×1	1×1	ADJ
ajst-32533	55	13	convolutional	convolutional	ADJ
ajst-32533	55	14	layer	layer	NOUN
ajst-32533	55	15	followed	follow	VERB
ajst-32533	55	16	by	by	ADP
ajst-32533	55	17	a	a	DET
ajst-32533	55	18	sigmoid	sigmoid	NOUN
ajst-32533	55	19	activation	activation	NOUN
ajst-32533	55	20	layer	layer	NOUN
ajst-32533	55	21	.	.	PUNCT
ajst-32533	56	1	the	the	DET
ajst-32533	56	2	initial	initial	ADJ
ajst-32533	56	3	1×1	1×1	ADJ
ajst-32533	56	4	convolution	convolution	NOUN
ajst-32533	56	5	serves	serve	VERB
ajst-32533	56	6	to	to	PART
ajst-32533	56	7	reduce	reduce	VERB
ajst-32533	56	8	the	the	DET
ajst-32533	56	9	channel	channel	NOUN
ajst-32533	56	10	depth	depth	NOUN
ajst-32533	56	11	of	of	ADP
ajst-32533	56	12	feature	feature	NOUN
ajst-32533	56	13	maps	map	NOUN
ajst-32533	56	14	generated	generate	VERB
ajst-32533	56	15	by	by	ADP
ajst-32533	56	16	the	the	DET
ajst-32533	56	17	decoder	decoder	NOUN
ajst-32533	56	18	.	.	PUNCT
ajst-32533	57	1	subsequently	subsequently	ADV
ajst-32533	57	2	,	,	PUNCT
ajst-32533	57	3	the	the	DET
ajst-32533	57	4	sigmoid	sigmoid	NOUN
ajst-32533	57	5	activation	activation	NOUN
ajst-32533	57	6	function	function	NOUN
ajst-32533	57	7	computes	compute	VERB
ajst-32533	57	8	per	per	ADP
ajst-32533	57	9	-	-	PUNCT
ajst-32533	57	10	pixel	pixel	NOUN
ajst-32533	57	11	class	class	NOUN
ajst-32533	57	12	probabilities	probability	NOUN
ajst-32533	57	13	across	across	ADP
ajst-32533	57	14	these	these	DET
ajst-32533	57	15	refined	refined	ADJ
ajst-32533	57	16	feature	feature	NOUN
ajst-32533	57	17	maps	map	NOUN
ajst-32533	57	18	.	.	PUNCT
ajst-32533	58	1	this	this	DET
ajst-32533	58	2	sequential	sequential	ADJ
ajst-32533	58	3	processing	processing	NOUN
ajst-32533	58	4	ultimately	ultimately	ADV
ajst-32533	58	5	transforms	transform	VERB
ajst-32533	58	6	the	the	DET
ajst-32533	58	7	multi	multi	ADJ
ajst-32533	58	8	-	-	ADJ
ajst-32533	58	9	channel	channel	ADJ
ajst-32533	58	10	feature	feature	NOUN
ajst-32533	58	11	representations	representation	NOUN
ajst-32533	58	12	into	into	ADP
ajst-32533	58	13	the	the	DET
ajst-32533	58	14	final	final	ADJ
ajst-32533	58	15	segmentation	segmentation	NOUN
ajst-32533	58	16	output	output	NOUN
ajst-32533	58	17	.	.	PUNCT
ajst-32533	59	1	through	through	ADP
ajst-32533	59	2	skip	skip	ADJ
ajst-32533	59	3	connections	connection	NOUN
ajst-32533	59	4	,	,	PUNCT
ajst-32533	59	5	shallow	shallow	ADJ
ajst-32533	59	6	features	feature	NOUN
ajst-32533	59	7	from	from	ADP
ajst-32533	59	8	the	the	DET
ajst-32533	59	9	encoder	encoder	NOUN
ajst-32533	59	10	are	be	AUX
ajst-32533	59	11	directly	directly	ADV
ajst-32533	59	12	transferred	transfer	VERB
ajst-32533	59	13	to	to	ADP
ajst-32533	59	14	corresponding	correspond	VERB
ajst-32533	59	15	deeper	deep	ADJ
ajst-32533	59	16	layers	layer	NOUN
ajst-32533	59	17	in	in	ADP
ajst-32533	59	18	the	the	DET
ajst-32533	59	19	decoder	decoder	NOUN
ajst-32533	59	20	.	.	PUNCT
ajst-32533	60	1	this	this	DET
ajst-32533	60	2	architectural	architectural	ADJ
ajst-32533	60	3	design	design	NOUN
ajst-32533	60	4	enables	enable	VERB
ajst-32533	60	5	feature	feature	NOUN
ajst-32533	60	6	map	map	NOUN
ajst-32533	60	7	fusion	fusion	NOUN
ajst-32533	60	8	across	across	ADP
ajst-32533	60	9	different	different	ADJ
ajst-32533	60	10	network	network	NOUN
ajst-32533	60	11	depths	depth	NOUN
ajst-32533	60	12	.	.	PUNCT
ajst-32533	61	1	however	however	ADV
ajst-32533	61	2	,	,	PUNCT
ajst-32533	61	3	the	the	DET
ajst-32533	61	4	initial	initial	ADJ
ajst-32533	61	5	feature	feature	NOUN
ajst-32533	61	6	representations	representation	NOUN
ajst-32533	61	7	extracted	extract	VERB
ajst-32533	61	8	in	in	ADP
ajst-32533	61	9	early	early	ADJ
ajst-32533	61	10	encoder	encoder	NOUN
ajst-32533	61	11	stages	stage	NOUN
ajst-32533	61	12	typically	typically	ADV
ajst-32533	61	13	contain	contain	VERB
ajst-32533	61	14	limited	limited	ADJ
ajst-32533	61	15	semantic	semantic	ADJ
ajst-32533	61	16	information	information	NOUN
ajst-32533	61	17	.	.	PUNCT
ajst-32533	62	1	this	this	DET
ajst-32533	62	2	characteristic	characteristic	ADJ
ajst-32533	62	3	introduces	introduce	VERB
ajst-32533	62	4	substantial	substantial	ADJ
ajst-32533	62	5	redundant	redundant	ADJ
ajst-32533	62	6	data	datum	NOUN
ajst-32533	62	7	into	into	ADP
ajst-32533	62	8	the	the	DET
ajst-32533	62	9	fusion	fusion	NOUN
ajst-32533	62	10	process	process	NOUN
ajst-32533	62	11	,	,	PUNCT
ajst-32533	62	12	which	which	PRON
ajst-32533	62	13	may	may	AUX
ajst-32533	62	14	adversely	adversely	ADV
ajst-32533	62	15	impact	impact	VERB
ajst-32533	62	16	the	the	DET
ajst-32533	62	17	quality	quality	NOUN
ajst-32533	62	18	of	of	ADP
ajst-32533	62	19	segmentation	segmentation	NOUN
ajst-32533	62	20	results	result	NOUN
ajst-32533	62	21	.	.	PUNCT
ajst-32533	63	1	this	this	DET
ajst-32533	63	2	paper	paper	NOUN
ajst-32533	63	3	presents	present	VERB
ajst-32533	63	4	an	an	DET
ajst-32533	63	5	attention	attention	NOUN
ajst-32533	63	6	mechanism	mechanism	NOUN
ajst-32533	63	7	designed	design	VERB
ajst-32533	63	8	to	to	PART
ajst-32533	63	9	filter	filter	VERB
ajst-32533	63	10	out	out	ADP
ajst-32533	63	11	feature	feature	NOUN
ajst-32533	63	12	responses	response	NOUN
ajst-32533	63	13	in	in	ADP
ajst-32533	63	14	irrelevant	irrelevant	ADJ
ajst-32533	63	15	areas	area	NOUN
ajst-32533	63	16	while	while	SCONJ
ajst-32533	63	17	minimizing	minimize	VERB
ajst-32533	63	18	redundant	redundant	ADJ
ajst-32533	63	19	features	feature	NOUN
ajst-32533	63	20	prior	prior	ADV
ajst-32533	63	21	to	to	ADP
ajst-32533	63	22	concatenating	concatenate	VERB
ajst-32533	63	23	and	and	CCONJ
ajst-32533	63	24	merging	merge	VERB
ajst-32533	63	25	the	the	DET
ajst-32533	63	26	encoding	encoding	NOUN
ajst-32533	63	27	features	feature	NOUN
ajst-32533	63	28	with	with	ADP
ajst-32533	63	29	their	their	PRON
ajst-32533	63	30	counterparts	counterpart	NOUN
ajst-32533	63	31	in	in	ADP
ajst-32533	63	32	the	the	DET
ajst-32533	63	33	decoding	decode	VERB
ajst-32533	63	34	phase	phase	NOUN
ajst-32533	63	35	.	.	PUNCT
ajst-32533	64	1	2.1	2.1	NUM
ajst-32533	64	2	depth	depth	NOUN
ajst-32533	64	3	residual	residual	ADJ
ajst-32533	64	4	module	module	NOUN
ajst-32533	64	5	fig	fig	NOUN
ajst-32533	64	6	2	2	NUM
ajst-32533	64	7	.	.	PUNCT
ajst-32533	64	8	residual	residual	ADJ
ajst-32533	64	9	unit	unit	NOUN
ajst-32533	64	10	in	in	ADP
ajst-32533	64	11	computer	computer	NOUN
ajst-32533	64	12	vision	vision	NOUN
ajst-32533	64	13	tasks	task	NOUN
ajst-32533	64	14	,	,	PUNCT
ajst-32533	64	15	network	network	NOUN
ajst-32533	64	16	depth	depth	NOUN
ajst-32533	64	17	significantly	significantly	ADV
ajst-32533	64	18	impacts	impact	VERB
ajst-32533	64	19	model	model	NOUN
ajst-32533	64	20	performance	performance	NOUN
ajst-32533	64	21	.	.	PUNCT
ajst-32533	65	1	conventional	conventional	ADJ
ajst-32533	65	2	wisdom	wisdom	NOUN
ajst-32533	65	3	suggested	suggest	VERB
ajst-32533	65	4	that	that	SCONJ
ajst-32533	65	5	deeper	deep	ADJ
ajst-32533	65	6	architectures	architecture	NOUN
ajst-32533	65	7	yield	yield	VERB
ajst-32533	65	8	superior	superior	ADJ
ajst-32533	65	9	recognition	recognition	NOUN
ajst-32533	65	10	and	and	CCONJ
ajst-32533	65	11	classification	classification	NOUN
ajst-32533	65	12	results	result	NOUN
ajst-32533	65	13	.	.	PUNCT
ajst-32533	66	1	in	in	ADP
ajst-32533	66	2	computer	computer	NOUN
ajst-32533	66	3	vision	vision	NOUN
ajst-32533	66	4	tasks	task	NOUN
ajst-32533	66	5	,	,	PUNCT
ajst-32533	66	6	network	network	NOUN
ajst-32533	66	7	depth	depth	NOUN
ajst-32533	66	8	significantly	significantly	ADV
ajst-32533	66	9	impacts	impact	VERB
ajst-32533	66	10	model	model	NOUN
ajst-32533	66	11	performance	performance	NOUN
ajst-32533	66	12	.	.	PUNCT
ajst-32533	67	1	conventional	conventional	ADJ
ajst-32533	67	2	wisdom	wisdom	NOUN
ajst-32533	67	3	suggested	suggest	VERB
ajst-32533	67	4	that	that	SCONJ
ajst-32533	67	5	deeper	deep	ADJ
ajst-32533	67	6	architectures	architecture	NOUN
ajst-32533	67	7	yield	yield	VERB
ajst-32533	67	8	superior	superior	ADJ
ajst-32533	67	9	recognition	recognition	NOUN
ajst-32533	67	10	and	and	CCONJ
ajst-32533	67	11	classification	classification	NOUN
ajst-32533	67	12	results	result	NOUN
ajst-32533	67	13	.	.	PUNCT
ajst-32533	68	1	to	to	ADP
ajst-32533	68	2	middle	middle	ADJ
ajst-32533	68	3	layer	layer	NOUN
ajst-32533	68	4	middle	middle	ADJ
ajst-32533	68	5	layer	layer	NOUN
ajst-32533	68	6	relu	relu	NOUN
ajst-32533	68	7	x	x	PUNCT
ajst-32533	68	8	relu	relu	NOUN
ajst-32533	68	9	x	x	PUNCT
ajst-32533	68	10	constant	constant	ADJ
ajst-32533	68	11	mappings	mapping	NOUN
ajst-32533	68	12	4	4	NUM
ajst-32533	68	13	resolve	resolve	VERB
ajst-32533	68	14	this	this	DET
ajst-32533	68	15	fundamental	fundamental	ADJ
ajst-32533	68	16	dilemma	dilemma	NOUN
ajst-32533	68	17	,	,	PUNCT
ajst-32533	68	18	he	he	PRON
ajst-32533	68	19	et	et	NOUN
ajst-32533	68	20	al[14	al[14	PROPN
ajst-32533	68	21	]	]	PUNCT
ajst-32533	68	22	developed	develop	VERB
ajst-32533	68	23	the	the	DET
ajst-32533	68	24	residual	residual	ADJ
ajst-32533	68	25	network	network	NOUN
ajst-32533	68	26	,	,	PUNCT
ajst-32533	68	27	which	which	PRON
ajst-32533	68	28	consists	consist	VERB
ajst-32533	68	29	of	of	ADP
ajst-32533	68	30	multiple	multiple	ADJ
ajst-32533	68	31	residual	residual	ADJ
ajst-32533	68	32	modules	module	NOUN
ajst-32533	68	33	connected	connect	VERB
ajst-32533	68	34	together	together	ADV
ajst-32533	68	35	.	.	PUNCT
ajst-32533	69	1	as	as	SCONJ
ajst-32533	69	2	shown	show	VERB
ajst-32533	69	3	in	in	ADP
ajst-32533	69	4	fig	fig	NOUN
ajst-32533	69	5	.	.	PUNCT
ajst-32533	70	1	2	2	NUM
ajst-32533	70	2	,	,	PUNCT
ajst-32533	70	3	consider	consider	VERB
ajst-32533	70	4	a	a	DET
ajst-32533	70	5	segment	segment	NOUN
ajst-32533	70	6	of	of	ADP
ajst-32533	70	7	a	a	DET
ajst-32533	70	8	neural	neural	ADJ
ajst-32533	70	9	network	network	NOUN
ajst-32533	70	10	where	where	SCONJ
ajst-32533	70	11	the	the	DET
ajst-32533	70	12	input	input	NOUN
ajst-32533	70	13	is	be	AUX
ajst-32533	70	14	x	x	PUNCT
ajst-32533	70	15	and	and	CCONJ
ajst-32533	70	16	the	the	DET
ajst-32533	70	17	desired	desire	VERB
ajst-32533	70	18	underlying	underlie	VERB
ajst-32533	70	19	mapping	mapping	NOUN
ajst-32533	70	20	is	be	AUX
ajst-32533	70	21	(	(	PUNCT
ajst-32533	70	22	)	)	PUNCT
ajst-32533	70	23	h	h	NOUN
ajst-32533	71	1	x	x	X
ajst-32533	71	2	.	.	PUNCT
ajst-32533	72	1	a	a	DET
ajst-32533	72	2	residual	residual	ADJ
ajst-32533	72	3	unit	unit	NOUN
ajst-32533	72	4	simplifies	simplifie	NOUN
ajst-32533	72	5	learning	learn	VERB
ajst-32533	72	6	by	by	ADP
ajst-32533	72	7	introducing	introduce	VERB
ajst-32533	72	8	an	an	DET
ajst-32533	72	9	identity	identity	NOUN
ajst-32533	72	10	mapping	mapping	NOUN
ajst-32533	72	11	,	,	PUNCT
ajst-32533	72	12	or	or	CCONJ
ajst-32533	72	13	shortcut	shortcut	NOUN
ajst-32533	72	14	connection	connection	NOUN
ajst-32533	72	15	,	,	PUNCT
ajst-32533	72	16	which	which	PRON
ajst-32533	72	17	bypasses	bypass	VERB
ajst-32533	72	18	one	one	NUM
ajst-32533	72	19	or	or	CCONJ
ajst-32533	72	20	more	more	ADJ
ajst-32533	72	21	layers	layer	NOUN
ajst-32533	72	22	.	.	PUNCT
ajst-32533	73	1	this	this	DET
ajst-32533	73	2	connection	connection	NOUN
ajst-32533	73	3	allows	allow	VERB
ajst-32533	73	4	the	the	DET
ajst-32533	73	5	input	input	NOUN
ajst-32533	73	6	xx	xx	X
ajst-32533	73	7	to	to	PART
ajst-32533	73	8	be	be	AUX
ajst-32533	73	9	directly	directly	ADV
ajst-32533	73	10	added	add	VERB
ajst-32533	73	11	to	to	ADP
ajst-32533	73	12	the	the	DET
ajst-32533	73	13	output	output	NOUN
ajst-32533	73	14	of	of	ADP
ajst-32533	73	15	the	the	DET
ajst-32533	73	16	layered	layered	ADJ
ajst-32533	73	17	transformations	transformation	NOUN
ajst-32533	73	18	.	.	PUNCT
ajst-32533	74	1	consequently	consequently	ADV
ajst-32533	74	2	,	,	PUNCT
ajst-32533	74	3	the	the	DET
ajst-32533	74	4	network	network	NOUN
ajst-32533	74	5	is	be	AUX
ajst-32533	74	6	not	not	PART
ajst-32533	74	7	required	require	VERB
ajst-32533	74	8	to	to	PART
ajst-32533	74	9	learn	learn	VERB
ajst-32533	74	10	the	the	DET
ajst-32533	74	11	complete	complete	ADJ
ajst-32533	74	12	mapping	mapping	NOUN
ajst-32533	74	13	(	(	PUNCT
ajst-32533	74	14	)	)	PUNCT
ajst-32533	74	15	h	h	NOUN
ajst-32533	74	16	x	x	PUNCT
ajst-32533	74	17	,	,	PUNCT
ajst-32533	74	18	but	but	CCONJ
ajst-32533	74	19	instead	instead	ADV
ajst-32533	74	20	learns	learn	VERB
ajst-32533	74	21	a	a	DET
ajst-32533	74	22	residual	residual	ADJ
ajst-32533	74	23	function	function	NOUN
ajst-32533	74	24	(	(	PUNCT
ajst-32533	74	25	)	)	PUNCT
ajst-32533	74	26	(	(	PUNCT
ajst-32533	74	27	)	)	PUNCT
ajst-32533	74	28	f	f	X
ajst-32533	74	29	x	x	SYM
ajst-32533	74	30	h	h	NOUN
ajst-32533	74	31	x	x	X
ajst-32533	75	1	x	x	PROPN
ajst-32533	75	2			PROPN
ajst-32533	75	3	.	.	PUNCT
ajst-32533	76	1	in	in	ADP
ajst-32533	76	2	this	this	DET
ajst-32533	76	3	formulation	formulation	NOUN
ajst-32533	76	4	,	,	PUNCT
ajst-32533	76	5	x	x	PUNCT
ajst-32533	76	6	and	and	CCONJ
ajst-32533	76	7	(	(	PUNCT
ajst-32533	76	8	)	)	PUNCT
ajst-32533	76	9	h	h	NOUN
ajst-32533	76	10	x	x	AUX
ajst-32533	76	11	represent	represent	VERB
ajst-32533	76	12	the	the	DET
ajst-32533	76	13	input	input	NOUN
ajst-32533	76	14	and	and	CCONJ
ajst-32533	76	15	output	output	NOUN
ajst-32533	76	16	vectors	vector	NOUN
ajst-32533	76	17	of	of	ADP
ajst-32533	76	18	the	the	DET
ajst-32533	76	19	considered	consider	VERB
ajst-32533	76	20	layers	layer	NOUN
ajst-32533	76	21	,	,	PUNCT
ajst-32533	76	22	respectively	respectively	ADV
ajst-32533	76	23	.	.	PUNCT
ajst-32533	77	1	the	the	DET
ajst-32533	77	2	residual	residual	ADJ
ajst-32533	77	3	formula	formula	NOUN
ajst-32533	77	4	in	in	ADP
ajst-32533	77	5	the	the	DET
ajst-32533	77	6	network	network	NOUN
ajst-32533	77	7	can	can	AUX
ajst-32533	77	8	be	be	AUX
ajst-32533	77	9	expressed	express	VERB
ajst-32533	77	10	as	as	ADP
ajst-32533	77	11	:	:	PUNCT
ajst-32533	77	12			PROPN
ajst-32533	77	13			PROPN
ajst-32533	77	14	(	(	PUNCT
ajst-32533	77	15	,	,	PUNCT
ajst-32533	77	16	)	)	PUNCT
ajst-32533	77	17	s	s	PART
ajst-32533	78	1	iy	iy	PROPN
ajst-32533	78	2	w	w	PROPN
ajst-32533	78	3	x	x	SYM
ajst-32533	78	4	f	f	NOUN
ajst-32533	78	5	x	x	VERB
ajst-32533	78	6	w	w	VERB
ajst-32533	78	7			ADV
ajst-32533	78	8	,	,	PUNCT
ajst-32533	78	9	where	where	SCONJ
ajst-32533	78	10	x	x	PUNCT
ajst-32533	78	11	and	and	CCONJ
ajst-32533	78	12	y	y	PROPN
ajst-32533	78	13	are	be	AUX
ajst-32533	78	14	the	the	DET
ajst-32533	78	15	input	input	NOUN
ajst-32533	78	16	and	and	CCONJ
ajst-32533	78	17	output	output	NOUN
ajst-32533	78	18	of	of	ADP
ajst-32533	78	19	this	this	DET
ajst-32533	78	20	network	network	NOUN
ajst-32533	78	21	,	,	PUNCT
ajst-32533	78	22	xw	xw	PROPN
ajst-32533	78	23	is	be	AUX
ajst-32533	78	24	the	the	DET
ajst-32533	78	25	convolution	convolution	NOUN
ajst-32533	78	26	operation	operation	NOUN
ajst-32533	78	27	.	.	PUNCT
ajst-32533	79	1	the	the	DET
ajst-32533	79	2	function	function	NOUN
ajst-32533	79	3			PROPN
ajst-32533	79	4			PROPN
ajst-32533	79	5	(	(	PUNCT
ajst-32533	79	6	,	,	PUNCT
ajst-32533	79	7	)	)	PUNCT
ajst-32533	79	8	if	if	SCONJ
ajst-32533	79	9	x	x	PRON
ajst-32533	79	10	w	w	NOUN
ajst-32533	79	11	denotes	denote	VERB
ajst-32533	79	12	the	the	DET
ajst-32533	79	13	residual	residual	ADJ
ajst-32533	79	14	mapping	mapping	NOUN
ajst-32533	79	15	to	to	PART
ajst-32533	79	16	be	be	AUX
ajst-32533	79	17	learned	learn	VERB
ajst-32533	79	18	,	,	PUNCT
ajst-32533	79	19	typically	typically	ADV
ajst-32533	79	20	implemented	implement	VERB
ajst-32533	79	21	through	through	ADP
ajst-32533	79	22	a	a	DET
ajst-32533	79	23	series	series	NOUN
ajst-32533	79	24	of	of	ADP
ajst-32533	79	25	operations	operation	NOUN
ajst-32533	79	26	such	such	ADJ
ajst-32533	79	27	as	as	ADP
ajst-32533	79	28	convolution	convolution	NOUN
ajst-32533	79	29	,	,	PUNCT
ajst-32533	79	30	batch	batch	NOUN
ajst-32533	79	31	normalization	normalization	NOUN
ajst-32533	79	32	,	,	PUNCT
ajst-32533	79	33	and	and	CCONJ
ajst-32533	79	34	a	a	DET
ajst-32533	79	35	non	non	ADJ
ajst-32533	79	36	-	-	ADJ
ajst-32533	79	37	linear	linear	ADJ
ajst-32533	79	38	activation	activation	NOUN
ajst-32533	79	39	function	function	NOUN
ajst-32533	79	40	(	(	PUNCT
ajst-32533	79	41	e.g.	e.g.	ADV
ajst-32533	79	42	,	,	PUNCT
ajst-32533	79	43	relu	relu	NOUN
ajst-32533	79	44	)	)	PUNCT
ajst-32533	79	45	.	.	PUNCT
ajst-32533	80	1	for	for	ADP
ajst-32533	80	2	a	a	DET
ajst-32533	80	3	basic	basic	ADJ
ajst-32533	80	4	two	two	NUM
ajst-32533	80	5	-	-	PUNCT
ajst-32533	80	6	layer	layer	NOUN
ajst-32533	80	7	residual	residual	ADJ
ajst-32533	80	8	block	block	NOUN
ajst-32533	80	9	,	,	PUNCT
ajst-32533	80	10	this	this	PRON
ajst-32533	80	11	can	can	AUX
ajst-32533	80	12	be	be	AUX
ajst-32533	80	13	expressed	express	VERB
ajst-32533	80	14	as	as	ADP
ajst-32533	80	15			PROPN
ajst-32533	80	16			PROPN
ajst-32533	80	17	2	2	NUM
ajst-32533	80	18	1	1	NUM
ajst-32533	80	19	(	(	PUNCT
ajst-32533	80	20	,	,	PUNCT
ajst-32533	80	21	)	)	PUNCT
ajst-32533	80	22	(	(	PUNCT
ajst-32533	80	23	)	)	PUNCT
ajst-32533	80	24	if	if	SCONJ
ajst-32533	80	25	x	x	X
ajst-32533	80	26	w	w	PROPN
ajst-32533	80	27	w	w	PROPN
ajst-32533	80	28	w	w	PROPN
ajst-32533	80	29	x	x	PROPN
ajst-32533	80	30	,	,	PUNCT
ajst-32533	80	31	where	where	SCONJ
ajst-32533	80	32	w	w	NOUN
ajst-32533	80	33	represents	represent	VERB
ajst-32533	80	34	the	the	DET
ajst-32533	80	35	convolutional	convolutional	ADJ
ajst-32533	80	36	weights	weight	NOUN
ajst-32533	80	37	and	and	CCONJ
ajst-32533	80	38	σ	σ	PROPN
ajst-32533	80	39	is	be	AUX
ajst-32533	80	40	the	the	DET
ajst-32533	80	41	activation	activation	NOUN
ajst-32533	80	42	function	function	NOUN
ajst-32533	80	43	.	.	PUNCT
ajst-32533	81	1	when	when	SCONJ
ajst-32533	81	2	the	the	DET
ajst-32533	81	3	dimensionality	dimensionality	NOUN
ajst-32533	81	4	of	of	ADP
ajst-32533	81	5	the	the	DET
ajst-32533	81	6	feature	feature	NOUN
ajst-32533	81	7	map	map	NOUN
ajst-32533	81	8	is	be	AUX
ajst-32533	81	9	different	different	ADJ
ajst-32533	81	10	,	,	PUNCT
ajst-32533	81	11	the	the	DET
ajst-32533	81	12	zero	zero	NUM
ajst-32533	81	13	-	-	PUNCT
ajst-32533	81	14	filling	fill	VERB
ajst-32533	81	15	method	method	NOUN
ajst-32533	81	16	can	can	AUX
ajst-32533	81	17	be	be	AUX
ajst-32533	81	18	used	use	VERB
ajst-32533	81	19	to	to	PART
ajst-32533	81	20	increase	increase	VERB
ajst-32533	81	21	the	the	DET
ajst-32533	81	22	dimensionality	dimensionality	NOUN
ajst-32533	81	23	,	,	PUNCT
ajst-32533	81	24	or	or	CCONJ
ajst-32533	81	25	the	the	DET
ajst-32533	81	26	1×1	1×1	ADJ
ajst-32533	81	27	convolution	convolution	NOUN
ajst-32533	81	28	operation	operation	NOUN
ajst-32533	81	29	can	can	AUX
ajst-32533	81	30	be	be	AUX
ajst-32533	81	31	used	use	VERB
ajst-32533	81	32	to	to	PART
ajst-32533	81	33	achieve	achieve	VERB
ajst-32533	81	34	consistent	consistent	ADJ
ajst-32533	81	35	dimensionality	dimensionality	NOUN
ajst-32533	81	36	.	.	PUNCT
ajst-32533	82	1	(	(	PUNCT
ajst-32533	82	2	a	a	X
ajst-32533	82	3	)	)	PUNCT
ajst-32533	82	4	standard	standard	ADJ
ajst-32533	82	5	convolution	convolution	NOUN
ajst-32533	82	6	module	module	NOUN
ajst-32533	82	7	(	(	PUNCT
ajst-32533	82	8	b	b	NOUN
ajst-32533	82	9	)	)	PUNCT
ajst-32533	82	10	depth	depth	NOUN
ajst-32533	82	11	residual	residual	ADJ
ajst-32533	82	12	module	module	NOUN
ajst-32533	82	13	fig	fig	NOUN
ajst-32533	82	14	3	3	NUM
ajst-32533	82	15	.	.	PUNCT
ajst-32533	82	16	comparison	comparison	NOUN
ajst-32533	82	17	of	of	ADP
ajst-32533	82	18	standard	standard	ADJ
ajst-32533	82	19	convolution	convolution	NOUN
ajst-32533	82	20	module	module	NOUN
ajst-32533	82	21	and	and	CCONJ
ajst-32533	82	22	depth	depth	NOUN
ajst-32533	82	23	residual	residual	ADJ
ajst-32533	82	24	module	module	NOUN
ajst-32533	82	25	structures	structure	NOUN
ajst-32533	82	26	conventional	conventional	ADJ
ajst-32533	82	27	convolutional	convolutional	ADJ
ajst-32533	82	28	neural	neural	ADJ
ajst-32533	82	29	networks	network	NOUN
ajst-32533	82	30	leverage	leverage	VERB
ajst-32533	82	31	multiple	multiple	ADJ
ajst-32533	82	32	convolutional	convolutional	ADJ
ajst-32533	82	33	operations	operation	NOUN
ajst-32533	82	34	to	to	PART
ajst-32533	82	35	extract	extract	VERB
ajst-32533	82	36	features	feature	NOUN
ajst-32533	82	37	from	from	ADP
ajst-32533	82	38	images	image	NOUN
ajst-32533	82	39	,	,	PUNCT
ajst-32533	82	40	as	as	SCONJ
ajst-32533	82	41	illustrated	illustrate	VERB
ajst-32533	82	42	in	in	ADP
ajst-32533	82	43	fig	fig	NOUN
ajst-32533	82	44	.	.	PUNCT
ajst-32533	83	1	3(a	3(a	NUM
ajst-32533	83	2	)	)	PUNCT
ajst-32533	83	3	.	.	PUNCT
ajst-32533	84	1	nevertheless	nevertheless	ADV
ajst-32533	84	2	,	,	PUNCT
ajst-32533	84	3	as	as	SCONJ
ajst-32533	84	4	the	the	DET
ajst-32533	84	5	network	network	NOUN
ajst-32533	84	6	architecture	architecture	NOUN
ajst-32533	84	7	becomes	become	VERB
ajst-32533	84	8	increasingly	increasingly	ADV
ajst-32533	84	9	deep	deep	ADJ
ajst-32533	84	10	,	,	PUNCT
ajst-32533	84	11	training	train	VERB
ajst-32533	84	12	the	the	DET
ajst-32533	84	13	model	model	NOUN
ajst-32533	84	14	turns	turn	VERB
ajst-32533	84	15	into	into	ADP
ajst-32533	84	16	a	a	DET
ajst-32533	84	17	challenging	challenging	ADJ
ajst-32533	84	18	endeavor	endeavor	NOUN
ajst-32533	84	19	.	.	PUNCT
ajst-32533	85	1	in	in	ADP
ajst-32533	85	2	our	our	PRON
ajst-32533	85	3	work	work	NOUN
ajst-32533	85	4	,	,	PUNCT
ajst-32533	85	5	we	we	PRON
ajst-32533	85	6	adopt	adopt	VERB
ajst-32533	85	7	the	the	DET
ajst-32533	85	8	concept	concept	NOUN
ajst-32533	85	9	of	of	ADP
ajst-32533	85	10	residual	residual	ADJ
ajst-32533	85	11	connections	connection	NOUN
ajst-32533	85	12	and	and	CCONJ
ajst-32533	85	13	substitute	substitute	VERB
ajst-32533	85	14	the	the	DET
ajst-32533	85	15	original	original	ADJ
ajst-32533	85	16	convolutional	convolutional	ADJ
ajst-32533	85	17	layers	layer	NOUN
ajst-32533	85	18	within	within	ADP
ajst-32533	85	19	both	both	CCONJ
ajst-32533	85	20	the	the	DET
ajst-32533	85	21	encoder	encoder	NOUN
ajst-32533	85	22	and	and	CCONJ
ajst-32533	85	23	decoder	decoder	NOUN
ajst-32533	85	24	components	component	NOUN
ajst-32533	85	25	of	of	ADP
ajst-32533	85	26	u	u	NOUN
ajst-32533	85	27	-	-	NOUN
ajst-32533	85	28	net	net	ADJ
ajst-32533	85	29	with	with	ADP
ajst-32533	85	30	an	an	DET
ajst-32533	85	31	in	in	ADP
ajst-32533	85	32	-	-	PUNCT
ajst-32533	85	33	depth	depth	NOUN
ajst-32533	85	34	residual	residual	ADJ
ajst-32533	85	35	module	module	NOUN
ajst-32533	85	36	,	,	PUNCT
ajst-32533	85	37	depicted	depict	VERB
ajst-32533	85	38	in	in	ADP
ajst-32533	85	39	fig	fig	NOUN
ajst-32533	85	40	.	.	PUNCT
ajst-32533	86	1	3(b	3(b	NUM
ajst-32533	86	2	)	)	PUNCT
ajst-32533	86	3	.	.	PUNCT
ajst-32533	87	1	by	by	ADP
ajst-32533	87	2	incorporating	incorporate	VERB
ajst-32533	87	3	a	a	DET
ajst-32533	87	4	direct	direct	ADJ
ajst-32533	87	5	pathway	pathway	NOUN
ajst-32533	87	6	that	that	PRON
ajst-32533	87	7	enables	enable	VERB
ajst-32533	87	8	input	input	NOUN
ajst-32533	87	9	data	datum	NOUN
ajst-32533	87	10	to	to	PART
ajst-32533	87	11	bypass	bypass	VERB
ajst-32533	87	12	intermediate	intermediate	ADJ
ajst-32533	87	13	layers	layer	NOUN
ajst-32533	87	14	and	and	CCONJ
ajst-32533	87	15	reach	reach	VERB
ajst-32533	87	16	subsequent	subsequent	ADJ
ajst-32533	87	17	network	network	NOUN
ajst-32533	87	18	sections	section	NOUN
ajst-32533	87	19	,	,	PUNCT
ajst-32533	87	20	we	we	PRON
ajst-32533	87	21	effectively	effectively	ADV
ajst-32533	87	22	mitigate	mitigate	VERB
ajst-32533	87	23	the	the	DET
ajst-32533	87	24	gradient	gradient	ADJ
ajst-32533	87	25	degradation	degradation	NOUN
ajst-32533	87	26	problem	problem	NOUN
ajst-32533	87	27	that	that	PRON
ajst-32533	87	28	typically	typically	ADV
ajst-32533	87	29	arises	arise	VERB
ajst-32533	87	30	during	during	ADP
ajst-32533	87	31	network	network	NOUN
ajst-32533	87	32	training	training	NOUN
ajst-32533	87	33	.	.	PUNCT
ajst-32533	88	1	this	this	DET
ajst-32533	88	2	approach	approach	NOUN
ajst-32533	88	3	facilitates	facilitate	VERB
ajst-32533	88	4	smoother	smooth	ADJ
ajst-32533	88	5	information	information	NOUN
ajst-32533	88	6	flow	flow	NOUN
ajst-32533	88	7	throughout	throughout	ADP
ajst-32533	88	8	the	the	DET
ajst-32533	88	9	network	network	NOUN
ajst-32533	88	10	,	,	PUNCT
ajst-32533	88	11	thereby	thereby	ADV
ajst-32533	88	12	addressing	address	VERB
ajst-32533	88	13	the	the	DET
ajst-32533	88	14	issue	issue	NOUN
ajst-32533	88	15	of	of	ADP
ajst-32533	88	16	information	information	NOUN
ajst-32533	88	17	loss	loss	NOUN
ajst-32533	88	18	commonly	commonly	ADV
ajst-32533	88	19	encountered	encounter	VERB
ajst-32533	88	20	in	in	ADP
ajst-32533	88	21	traditional	traditional	ADJ
ajst-32533	88	22	architectures	architecture	NOUN
ajst-32533	88	23	to	to	ADP
ajst-32533	88	24	a	a	DET
ajst-32533	88	25	considerable	considerable	ADJ
ajst-32533	88	26	degree	degree	NOUN
ajst-32533	88	27	.	.	PUNCT
ajst-32533	89	1	2.2	2.2	NUM
ajst-32533	89	2	attentional	attentional	ADJ
ajst-32533	89	3	mechanisms	mechanism	NOUN
ajst-32533	89	4	the	the	DET
ajst-32533	89	5	attention	attention	NOUN
ajst-32533	89	6	mechanism	mechanism	NOUN
ajst-32533	89	7	module	module	NOUN
ajst-32533	89	8	completes	complete	VERB
ajst-32533	89	9	the	the	DET
ajst-32533	89	10	following	follow	VERB
ajst-32533	89	11	equations	equation	NOUN
ajst-32533	89	12	:	:	PUNCT
ajst-32533	89	13	conv	conv	ADJ
ajst-32533	89	14	3×3	3×3	NUM
ajst-32533	89	15	relu	relu	NOUN
ajst-32533	89	16	conv	conv	ADJ
ajst-32533	89	17	3×3	3×3	NUM
ajst-32533	89	18	relu	relu	NOUN
ajst-32533	89	19	input	input	NOUN
ajst-32533	89	20	relu	relu	NOUN
ajst-32533	89	21	bn	bn	PROPN
ajst-32533	89	22	conv	conv	ADJ
ajst-32533	89	23	3×3	3×3	NUM
ajst-32533	89	24	relu	relu	NOUN
ajst-32533	89	25	bn	bn	ADP
ajst-32533	89	26	conv	conv	ADJ
ajst-32533	89	27	3×3	3×3	NUM
ajst-32533	89	28	add	add	VERB
ajst-32533	89	29	xi	xi	ADP
ajst-32533	89	30	f(xi	f(xi	PROPN
ajst-32533	89	31	)	)	PUNCT
ajst-32533	89	32	f(xi)+xi	f(xi)+xi	NOUN
ajst-32533	89	33	xi+1	xi+1	PROPN
ajst-32533	89	34	5	5	NUM
ajst-32533	90	1	i	i	NOUN
ajst-32533	90	2	xf	xf	PROPN
ajst-32533	90	3	f	f	PROPN
ajst-32533	90	4			PROPN
ajst-32533	90	5			INTJ
ajst-32533	90	6	(	(	PUNCT
ajst-32533	90	7	1	1	NUM
ajst-32533	90	8	)	)	PUNCT
ajst-32533	91	1	where	where	SCONJ
ajst-32533	91	2	x	x	X
ajst-32533	91	3	x	x	PUNCT
ajst-32533	91	4	x	x	PUNCT
ajst-32533	91	5	xc	xc	PROPN
ajst-32533	91	6	h	h	PROPN
ajst-32533	91	7	w	w	PROPN
ajst-32533	92	1	d	d	PROPN
ajst-32533	92	2	xf	xf	PROPN
ajst-32533	92	3	r	r	NOUN
ajst-32533	92	4			NOUN
ajst-32533	92	5			PROPN
ajst-32533	92	6			PROPN
ajst-32533	92	7	is	be	AUX
ajst-32533	92	8	the	the	DET
ajst-32533	92	9	input	input	NOUN
ajst-32533	92	10	feature	feature	NOUN
ajst-32533	92	11	map	map	NOUN
ajst-32533	92	12	from	from	ADP
ajst-32533	92	13	the	the	DET
ajst-32533	92	14	encoded	encode	VERB
ajst-32533	92	15	part	part	NOUN
ajst-32533	92	16	of	of	ADP
ajst-32533	92	17	the	the	DET
ajst-32533	92	18	network	network	NOUN
ajst-32533	92	19	structure	structure	NOUN
ajst-32533	92	20	in	in	ADP
ajst-32533	92	21	fig	fig	NOUN
ajst-32533	92	22	.	.	PUNCT
ajst-32533	93	1	1	1	NUM
ajst-32533	93	2	,	,	PUNCT
ajst-32533	93	3	'	'	PUNCT
ajst-32533	93	4	x	x	SYM
ajst-32533	94	1	x	x	PUNCT
ajst-32533	94	2	x	x	PUNCT
ajst-32533	94	3	xc	xc	PROPN
ajst-32533	94	4	h	h	PROPN
ajst-32533	94	5	w	w	PROPN
ajst-32533	94	6	df	df	PROPN
ajst-32533	94	7	r	r	NOUN
ajst-32533	94	8			NOUN
ajst-32533	94	9			PROPN
ajst-32533	94	10			PROPN
ajst-32533	94	11	idenotes	idenote	VERB
ajst-32533	94	12	the	the	DET
ajst-32533	94	13	corresponding	corresponding	ADJ
ajst-32533	94	14	output	output	NOUN
ajst-32533	94	15	after	after	ADP
ajst-32533	94	16	attention	attention	NOUN
ajst-32533	94	17	enhancement	enhancement	NOUN
ajst-32533	94	18	.	.	PUNCT
ajst-32533	95	1	the	the	DET
ajst-32533	95	2	dimensions	dimension	NOUN
ajst-32533	95	3	of	of	ADP
ajst-32533	95	4	this	this	DET
ajst-32533	95	5	feature	feature	NOUN
ajst-32533	95	6	map	map	NOUN
ajst-32533	95	7	are	be	AUX
ajst-32533	95	8	defined	define	VERB
ajst-32533	95	9	by	by	ADP
ajst-32533	95	10	its	its	PRON
ajst-32533	95	11	channel	channel	NOUN
ajst-32533	95	12	count	count	NOUN
ajst-32533	95	13	c	c	PROPN
ajst-32533	95	14	,	,	PUNCT
ajst-32533	95	15	height	height	NOUN
ajst-32533	95	16	h	h	NOUN
ajst-32533	95	17	and	and	CCONJ
ajst-32533	95	18	width	width	ADJ
ajst-32533	95	19	w	w	NOUN
ajst-32533	95	20	.	.	PUNCT
ajst-32533	96	1	the	the	DET
ajst-32533	96	2	attention	attention	NOUN
ajst-32533	96	3	mechanism	mechanism	NOUN
ajst-32533	96	4	operates	operate	VERB
ajst-32533	96	5	by	by	ADP
ajst-32533	96	6	performing	perform	VERB
ajst-32533	96	7	an	an	DET
ajst-32533	96	8	element	element	ADJ
ajst-32533	96	9	-	-	PUNCT
ajst-32533	96	10	wise	wise	ADJ
ajst-32533	96	11	multiplication	multiplication	NOUN
ajst-32533	96	12	(	(	PUNCT
ajst-32533	96	13	denoted	denote	VERB
ajst-32533	96	14	by	by	ADP
ajst-32533	96	15			NOUN
ajst-32533	96	16	)	)	PUNCT
ajst-32533	96	17	between	between	ADP
ajst-32533	96	18	x	x	SYM
ajst-32533	96	19	x	x	PUNCT
ajst-32533	96	20	x	x	X
ajst-32533	96	21	xc	xc	PROPN
ajst-32533	97	1	h	h	PROPN
ajst-32533	97	2	w	w	PROPN
ajst-32533	98	1	d	d	PROPN
ajst-32533	98	2	xf	xf	PROPN
ajst-32533	98	3	r	r	NOUN
ajst-32533	98	4			NOUN
ajst-32533	98	5			PROPN
ajst-32533	98	6			NOUN
ajst-32533	98	7	and	and	CCONJ
ajst-32533	98	8	a	a	DET
ajst-32533	98	9	learned	learn	VERB
ajst-32533	98	10	attention	attention	NOUN
ajst-32533	98	11	coefficient	coefficient	NOUN
ajst-32533	98	12	.	.	PUNCT
ajst-32533	99	1	this	this	DET
ajst-32533	99	2	coefficient	coefficient	NOUN
ajst-32533	99	3	,	,	PUNCT
ajst-32533	99	4	which	which	PRON
ajst-32533	99	5	assumes	assume	VERB
ajst-32533	99	6	values	value	NOUN
ajst-32533	99	7	between	between	ADP
ajst-32533	99	8	0	0	NUM
ajst-32533	99	9	and	and	CCONJ
ajst-32533	99	10	1	1	NUM
ajst-32533	99	11	,	,	PUNCT
ajst-32533	99	12	functions	function	NOUN
ajst-32533	99	13	to	to	PART
ajst-32533	99	14	accentuate	accentuate	VERB
ajst-32533	99	15	regions	region	NOUN
ajst-32533	99	16	contain	contain	VERB
ajst-32533	99	17	i	i	PRON
ajst-32533	99	18	ing	ing	ADJ
ajst-32533	99	19	critical	critical	ADJ
ajst-32533	99	20	target	target	NOUN
ajst-32533	99	21	information	information	NOUN
ajst-32533	99	22	while	while	SCONJ
ajst-32533	99	23	suppressing	suppress	VERB
ajst-32533	99	24	features	feature	VERB
ajst-32533	99	25	irrelevant	irrelevant	ADJ
ajst-32533	99	26	to	to	ADP
ajst-32533	99	27	the	the	DET
ajst-32533	99	28	segmentation	segmentation	NOUN
ajst-32533	99	29	task	task	NOUN
ajst-32533	99	30	.	.	PUNCT
ajst-32533	100	1	the	the	DET
ajst-32533	100	2	computation	computation	NOUN
ajst-32533	100	3	of	of	ADP
ajst-32533	100	4	the	the	DET
ajst-32533	100	5	attention	attention	NOUN
ajst-32533	100	6	coefficient	coefficient	NOUN
ajst-32533	100	7	i	i	PROPN
ajst-32533	100	8	is	be	AUX
ajst-32533	100	9	defined	define	VERB
ajst-32533	100	10	by	by	ADP
ajst-32533	100	11	the	the	DET
ajst-32533	100	12	following	follow	VERB
ajst-32533	100	13	formula	formula	NOUN
ajst-32533	100	14	:	:	PUNCT
ajst-32533	100	15			PROPN
ajst-32533	100	16			PROPN
ajst-32533	100	17	2	2	X
ajst-32533	100	18	,	,	PUNCT
ajst-32533	100	19	,	,	PUNCT
ajst-32533	100	20	i	i	PRON
ajst-32533	100	21	att	att	PROPN
ajst-32533	100	22	xi	xi	INTJ
ajst-32533	100	23	gi	gi	INTJ
ajst-32533	100	24	atta	atta	PROPN
ajst-32533	100	25	q	q	PROPN
ajst-32533	101	1	f	f	PROPN
ajst-32533	101	2	f	f	PROPN
ajst-32533	101	3			PROPN
ajst-32533	101	4	(	(	PUNCT
ajst-32533	101	5	2	2	NUM
ajst-32533	101	6	)	)	PUNCT
ajst-32533	101	7	where	where	SCONJ
ajst-32533	101	8	2	2	NUM
ajst-32533	101	9	is	be	AUX
ajst-32533	101	10	the	the	DET
ajst-32533	101	11	sigmoid	sigmoid	NOUN
ajst-32533	101	12	activation	activation	NOUN
ajst-32533	101	13	function	function	NOUN
ajst-32533	101	14	,	,	PUNCT
ajst-32533	101	15	attq	attq	NOUN
ajst-32533	101	16	is	be	AUX
ajst-32533	101	17	the	the	DET
ajst-32533	101	18	additive	additive	ADJ
ajst-32533	101	19	attention	attention	NOUN
ajst-32533	101	20	calculation	calculation	NOUN
ajst-32533	101	21	,	,	PUNCT
ajst-32533	101	22	and	and	CCONJ
ajst-32533	101	23	the	the	DET
ajst-32533	101	24	attention	attention	NOUN
ajst-32533	101	25	operation	operation	NOUN
ajst-32533	101	26	is	be	AUX
ajst-32533	101	27	characterized	characterize	VERB
ajst-32533	101	28	by	by	ADP
ajst-32533	101	29	a	a	DET
ajst-32533	101	30	set	set	NOUN
ajst-32533	101	31	of	of	ADP
ajst-32533	101	32	parameters	parameter	NOUN
ajst-32533	101	33	att	att	NOUN
ajst-32533	101	34	,	,	PUNCT
ajst-32533	101	35	including	include	VERB
ajst-32533	101	36	the	the	DET
ajst-32533	101	37	convolution	convolution	NOUN
ajst-32533	101	38	op	op	NOUN
ajst-32533	101	39	erations	eration	NOUN
ajst-32533	101	40	intgc	intgc	VERB
ajst-32533	101	41	c	c	PROPN
ajst-32533	101	42	gw	gw	PROPN
ajst-32533	101	43	r	r	PROPN
ajst-32533	101	44			NOUN
ajst-32533	101	45	,	,	PUNCT
ajst-32533	101	46	intxc	intxc	PROPN
ajst-32533	101	47	c	c	PROPN
ajst-32533	101	48	xw	xw	PROPN
ajst-32533	101	49	r	r	PROPN
ajst-32533	101	50			NOUN
ajst-32533	101	51	,	,	PUNCT
ajst-32533	101	52	int	int	NOUN
ajst-32533	101	53	1cr	1cr	ADJ
ajst-32533	101	54			PROPN
ajst-32533	101	55	and	and	CCONJ
ajst-32533	101	56	the	the	DET
ajst-32533	101	57	bias	bias	NOUN
ajst-32533	101	58	terms	term	NOUN
ajst-32533	101	59	at	at	ADP
ajst-32533	101	60	the	the	DET
ajst-32533	101	61	corresponding	corresponding	ADJ
ajst-32533	101	62	positions	position	NOUN
ajst-32533	101	63	,	,	PUNCT
ajst-32533	101	64	,	,	PUNCT
ajst-32533	101	65	b	b	PROPN
ajst-32533	101	66	r	r	PROPN
ajst-32533	101	67			NOUN
ajst-32533	101	68	.	.	PUNCT
ajst-32533	102	1	attq	attq	PROPN
ajst-32533	102	2	is	be	AUX
ajst-32533	102	3	calculated	calculate	VERB
ajst-32533	102	4	as	as	SCONJ
ajst-32533	102	5	follows	follow	VERB
ajst-32533	102	6	:	:	PUNCT
ajst-32533	103	1			PROPN
ajst-32533	103	2			PROPN
ajst-32533	103	3	1	1	PROPN
ajst-32533	103	4	t	t	PROPN
ajst-32533	103	5	t	t	PROPN
ajst-32533	103	6	t	t	PROPN
ajst-32533	103	7	att	att	PROPN
ajst-32533	104	1	x	x	INTJ
ajst-32533	104	2	xi	xi	PROPN
ajst-32533	104	3	g	g	PROPN
ajst-32533	104	4	gi	gi	PROPN
ajst-32533	104	5	gq	gq	PROPN
ajst-32533	104	6	w	w	PROPN
ajst-32533	104	7	f	f	PROPN
ajst-32533	104	8	w	w	PROPN
ajst-32533	104	9	f	f	PROPN
ajst-32533	104	10	b	b	PROPN
ajst-32533	104	11	b	b	PROPN
ajst-32533	104	12			PROPN
ajst-32533	104	13			PROPN
ajst-32533	104	14			ADV
ajst-32533	104	15			PUNCT
ajst-32533	104	16			X
ajst-32533	104	17	(	(	PUNCT
ajst-32533	104	18	3	3	X
ajst-32533	104	19	)	)	PUNCT
ajst-32533	104	20	fig	fig	NOUN
ajst-32533	104	21	4	4	NUM
ajst-32533	104	22	.	.	NOUN
ajst-32533	104	23	door	door	NOUN
ajst-32533	104	24	control	control	NOUN
ajst-32533	104	25	attention	attention	NOUN
ajst-32533	104	26	module	module	NOUN
ajst-32533	104	27	as	as	SCONJ
ajst-32533	104	28	shown	show	VERB
ajst-32533	104	29	in	in	ADP
ajst-32533	104	30	fig	fig	NOUN
ajst-32533	104	31	.	.	PUNCT
ajst-32533	105	1	4	4	NUM
ajst-32533	105	2	,	,	PUNCT
ajst-32533	105	3	g	g	PROPN
ajst-32533	105	4	g	g	PROPN
ajst-32533	105	5	g	g	PROPN
ajst-32533	105	6	gc	gc	PROPN
ajst-32533	106	1	h	h	PROPN
ajst-32533	106	2	w	w	PROPN
ajst-32533	107	1	d	d	X
ajst-32533	107	2	gf	gf	NOUN
ajst-32533	107	3	r	r	NOUN
ajst-32533	107	4			NOUN
ajst-32533	107	5			PROPN
ajst-32533	107	6			PROPN
ajst-32533	107	7	is	be	AUX
ajst-32533	107	8	a	a	DET
ajst-32533	107	9	gating	gate	VERB
ajst-32533	107	10	signal	signal	NOUN
ajst-32533	107	11	(	(	PUNCT
ajst-32533	107	12	gating	gate	VERB
ajst-32533	107	13	signal	signal	NOUN
ajst-32533	107	14	)	)	PUNCT
ajst-32533	107	15	from	from	ADP
ajst-32533	107	16	the	the	DET
ajst-32533	107	17	feature	feature	NOUN
ajst-32533	107	18	vector	vector	NOUN
ajst-32533	107	19	of	of	ADP
ajst-32533	107	20	the	the	DET
ajst-32533	107	21	layer	layer	NOUN
ajst-32533	107	22	before	before	ADP
ajst-32533	107	23	the	the	DET
ajst-32533	107	24	upsampling	upsampling	NOUN
ajst-32533	107	25	corresponding	corresponding	NOUN
ajst-32533	107	26	to	to	ADP
ajst-32533	107	27	the	the	DET
ajst-32533	107	28	encoding	encoding	NOUN
ajst-32533	107	29	part	part	NOUN
ajst-32533	107	30	,	,	PUNCT
ajst-32533	107	31	which	which	PRON
ajst-32533	107	32	contains	contain	VERB
ajst-32533	107	33	contextual	contextual	ADJ
ajst-32533	107	34	information	information	NOUN
ajst-32533	107	35	.	.	PUNCT
ajst-32533	108	1	the	the	DET
ajst-32533	108	2	input	input	NOUN
ajst-32533	108	3	features	feature	VERB
ajst-32533	108	4	gf	gf	PROPN
ajst-32533	108	5	and	and	CCONJ
ajst-32533	108	6	xf	xf	PROPN
ajst-32533	108	7	are	be	AUX
ajst-32533	108	8	linearly	linearly	ADV
ajst-32533	108	9	transformed	transform	VERB
ajst-32533	108	10	along	along	ADP
ajst-32533	108	11	the	the	DET
ajst-32533	108	12	channel	channel	NOUN
ajst-32533	108	13	direction	direction	NOUN
ajst-32533	108	14	using	use	VERB
ajst-32533	108	15	a	a	DET
ajst-32533	108	16	1×1×1	1×1×1	NUM
ajst-32533	108	17	conventional	conventional	ADJ
ajst-32533	108	18	layer	layer	NOUN
ajst-32533	108	19	.	.	PUNCT
ajst-32533	109	1	this	this	DET
ajst-32533	109	2	operation	operation	NOUN
ajst-32533	109	3	projects	project	VERB
ajst-32533	109	4	them	they	PRON
ajst-32533	109	5	along	along	ADP
ajst-32533	109	6	the	the	DET
ajst-32533	109	7	channel	channel	NOUN
ajst-32533	109	8	dimension	dimension	NOUN
ajst-32533	109	9	.	.	PUNCT
ajst-32533	110	1	subsequently	subsequently	ADV
ajst-32533	110	2	,	,	PUNCT
ajst-32533	110	3	the	the	DET
ajst-32533	110	4	transformed	transform	VERB
ajst-32533	110	5	features	feature	NOUN
ajst-32533	110	6	are	be	AUX
ajst-32533	110	7	combined	combine	VERB
ajst-32533	110	8	using	use	VERB
ajst-32533	110	9	an	an	DET
ajst-32533	110	10	element	element	ADJ
ajst-32533	110	11	-	-	PUNCT
ajst-32533	110	12	wise	wise	ADJ
ajst-32533	110	13	summation	summation	NOUN
ajst-32533	110	14	.	.	PUNCT
ajst-32533	111	1	throughout	throughout	ADP
ajst-32533	111	2	this	this	DET
ajst-32533	111	3	process	process	NOUN
ajst-32533	111	4	,	,	PUNCT
ajst-32533	111	5	the	the	DET
ajst-32533	111	6	channel	channel	NOUN
ajst-32533	111	7	depth	depth	NOUN
ajst-32533	111	8	of	of	ADP
ajst-32533	111	9	feature	feature	NOUN
ajst-32533	111	10	gf	gf	NOUN
ajst-32533	111	11	is	be	AUX
ajst-32533	111	12	progressively	progressively	ADV
ajst-32533	111	13	reduced	reduce	VERB
ajst-32533	111	14	from	from	ADP
ajst-32533	111	15	gc	gc	PROPN
ajst-32533	111	16	to	to	ADP
ajst-32533	111	17	intc	intc	NOUN
ajst-32533	111	18	,	,	PUNCT
ajst-32533	111	19	and	and	CCONJ
ajst-32533	111	20	finally	finally	ADV
ajst-32533	111	21	to	to	ADP
ajst-32533	111	22	a	a	DET
ajst-32533	111	23	single	single	ADJ
ajst-32533	111	24	channel	channel	NOUN
ajst-32533	111	25	.	.	PUNCT
ajst-32533	112	1	similarly	similarly	ADV
ajst-32533	112	2	,	,	PUNCT
ajst-32533	112	3	the	the	DET
ajst-32533	112	4	channel	channel	NOUN
ajst-32533	112	5	count	count	NOUN
ajst-32533	112	6	for	for	ADP
ajst-32533	112	7	feature	feature	NOUN
ajst-32533	112	8	xf	xf	PROPN
ajst-32533	112	9	is	be	AUX
ajst-32533	112	10	adjusted	adjust	VERB
ajst-32533	112	11	from	from	ADP
ajst-32533	112	12	xc	xc	PROPN
ajst-32533	112	13	to	to	ADP
ajst-32533	112	14	intc	intc	NOUN
ajst-32533	112	15	,	,	PUNCT
ajst-32533	112	16	and	and	CCONJ
ajst-32533	112	17	then	then	ADV
ajst-32533	112	18	again	again	ADV
ajst-32533	112	19	to	to	ADP
ajst-32533	112	20	1	1	NUM
ajst-32533	112	21	.	.	PUNCT
ajst-32533	113	1	a	a	DET
ajst-32533	113	2	relu	relu	NOUN
ajst-32533	113	3	(	(	PUNCT
ajst-32533	113	4	rectified	rectified	ADJ
ajst-32533	113	5	linear	linear	NOUN
ajst-32533	113	6	unit	unit	NOUN
ajst-32533	113	7	)	)	PUNCT
ajst-32533	113	8	activation	activation	NOUN
ajst-32533	113	9	function	function	NOUN
ajst-32533	113	10	is	be	AUX
ajst-32533	113	11	applied	apply	VERB
ajst-32533	113	12	after	after	SCONJ
ajst-32533	113	13	these	these	DET
ajst-32533	113	14	operations	operation	NOUN
ajst-32533	113	15	to	to	PART
ajst-32533	113	16	increase	increase	VERB
ajst-32533	113	17	the	the	DET
ajst-32533	113	18	network	network	NOUN
ajst-32533	113	19	’s	’s	PART
ajst-32533	113	20	nonlinear	nonlinear	ADJ
ajst-32533	113	21	representational	representational	ADJ
ajst-32533	113	22	capacity	capacity	NOUN
ajst-32533	113	23	.	.	PUNCT
ajst-32533	114	1	since	since	SCONJ
ajst-32533	114	2	gf	gf	PROPN
ajst-32533	114	3	contains	contain	VERB
ajst-32533	114	4	richer	rich	ADJ
ajst-32533	114	5	feature	feature	NOUN
ajst-32533	114	6	information	information	NOUN
ajst-32533	114	7	,	,	PUNCT
ajst-32533	114	8	the	the	DET
ajst-32533	114	9	additive	additive	ADJ
ajst-32533	114	10	attention	attention	NOUN
ajst-32533	114	11	operation	operation	NOUN
ajst-32533	114	12	enables	enable	VERB
ajst-32533	114	13	xf	xf	PROPN
ajst-32533	114	14	to	to	PART
ajst-32533	114	15	learn	learn	VERB
ajst-32533	114	16	the	the	DET
ajst-32533	114	17	gap	gap	NOUN
ajst-32533	114	18	between	between	ADP
ajst-32533	114	19	the	the	DET
ajst-32533	114	20	feature	feature	NOUN
ajst-32533	114	21	information	information	NOUN
ajst-32533	114	22	and	and	CCONJ
ajst-32533	114	23	gf	gf	PROPN
ajst-32533	114	24	,	,	PUNCT
ajst-32533	114	25	thus	thus	ADV
ajst-32533	114	26	feature	feature	NOUN
ajst-32533	114	27	map	map	NOUN
ajst-32533	114	28	fg	fg	PROPN
ajst-32533	114	29	wg:1×1×1	wg:1×1×1	PROPN
ajst-32533	114	30	relu(σ1	relu(σ1	VERB
ajst-32533	114	31	)	)	PUNCT
ajst-32533	114	32	ψ:1×1×1	ψ:1×1×1	NOUN
ajst-32533	114	33	sigmoid(σ1	sigmoid(σ1	NOUN
ajst-32533	114	34	)	)	PUNCT
ajst-32533	114	35	f	f	X
ajst-32533	114	36	''	''	PUNCT
ajst-32533	114	37	feature	feature	NOUN
ajst-32533	114	38	map	map	NOUN
ajst-32533	114	39	fg	fg	PROPN
ajst-32533	114	40	wg:1×1×1	wg:1×1×1	PROPN
ajst-32533	114	41	cg×hg×wg×dg	cg×hg×wg×dg	PROPN
ajst-32533	114	42	cg×hg×wg×dg	cg×hg×wg×dg	PROPN
ajst-32533	114	43	cint×hgwgdg	cint×hgwgdg	NOUN
ajst-32533	114	44	cint×hgwgdg	cint×hgwgdg	NOUN
ajst-32533	114	45	c×h×w×dg	c×h×w×dg	NOUN
ajst-32533	114	46	α	α	NOUN
ajst-32533	114	47	intc	intc	NOUN
ajst-32533	114	48	gb	gb	NOUN
ajst-32533	114	49	r	r	ADJ
ajst-32533	114	50	6	6	NUM
ajst-32533	114	51	focusing	focus	VERB
ajst-32533	114	52	attention	attention	NOUN
ajst-32533	114	53	on	on	ADP
ajst-32533	114	54	the	the	DET
ajst-32533	114	55	target	target	NOUN
ajst-32533	114	56	region	region	NOUN
ajst-32533	114	57	and	and	CCONJ
ajst-32533	114	58	suppressing	suppress	VERB
ajst-32533	114	59	the	the	DET
ajst-32533	114	60	activation	activation	NOUN
ajst-32533	114	61	of	of	ADP
ajst-32533	114	62	non	non	ADJ
ajst-32533	114	63	-	-	ADJ
ajst-32533	114	64	target	target	ADJ
ajst-32533	114	65	region	region	NOUN
ajst-32533	114	66	information	information	NOUN
ajst-32533	114	67	,	,	PUNCT
ajst-32533	114	68	which	which	PRON
ajst-32533	114	69	improves	improve	VERB
ajst-32533	114	70	the	the	DET
ajst-32533	114	71	segmentation	segmentation	NOUN
ajst-32533	114	72	ability	ability	NOUN
ajst-32533	114	73	of	of	ADP
ajst-32533	114	74	the	the	DET
ajst-32533	114	75	network	network	NOUN
ajst-32533	114	76	.	.	PUNCT
ajst-32533	115	1	3	3	X
ajst-32533	115	2	.	.	X
ajst-32533	115	3	experimental	experimental	ADJ
ajst-32533	115	4	results	result	NOUN
ajst-32533	115	5	and	and	CCONJ
ajst-32533	115	6	analysis	analysis	NOUN
ajst-32533	115	7	3.1	3.1	NUM
ajst-32533	115	8	experimental	experimental	ADJ
ajst-32533	115	9	dataset	dataset	NOUN
ajst-32533	115	10	this	this	DET
ajst-32533	115	11	study	study	NOUN
ajst-32533	115	12	utilized	utilize	VERB
ajst-32533	115	13	abdominal	abdominal	ADJ
ajst-32533	115	14	ct	ct	PROPN
ajst-32533	115	15	imaging	imaging	NOUN
ajst-32533	115	16	data	datum	NOUN
ajst-32533	115	17	from	from	ADP
ajst-32533	115	18	colorectal	colorectal	ADJ
ajst-32533	115	19	cancer	cancer	NOUN
ajst-32533	115	20	patients	patient	NOUN
ajst-32533	115	21	treated	treat	VERB
ajst-32533	115	22	between	between	ADP
ajst-32533	115	23	2018	2018	NUM
ajst-32533	115	24	and	and	CCONJ
ajst-32533	115	25	2021	2021	NUM
ajst-32533	115	26	.	.	PUNCT
ajst-32533	116	1	the	the	DET
ajst-32533	116	2	dataset	dataset	NOUN
ajst-32533	116	3	was	be	AUX
ajst-32533	116	4	obtained	obtain	VERB
ajst-32533	116	5	from	from	ADP
ajst-32533	116	6	the	the	DET
ajst-32533	116	7	upper	upper	ADJ
ajst-32533	116	8	radiology	radiology	NOUN
ajst-32533	116	9	department	department	NOUN
ajst-32533	116	10	of	of	ADP
ajst-32533	116	11	the	the	DET
ajst-32533	116	12	first	first	ADJ
ajst-32533	116	13	affiliated	affiliate	VERB
ajst-32533	116	14	hospital	hospital	NOUN
ajst-32533	116	15	of	of	ADP
ajst-32533	116	16	henan	henan	PROPN
ajst-32533	116	17	university	university	PROPN
ajst-32533	116	18	of	of	ADP
ajst-32533	116	19	science	science	NOUN
ajst-32533	116	20	and	and	CCONJ
ajst-32533	116	21	technology	technology	NOUN
ajst-32533	116	22	in	in	ADP
ajst-32533	116	23	luoyang	luoyang	PROPN
ajst-32533	116	24	,	,	PUNCT
ajst-32533	116	25	henan	henan	PROPN
ajst-32533	116	26	province	province	PROPN
ajst-32533	116	27	.	.	PUNCT
ajst-32533	117	1	the	the	DET
ajst-32533	117	2	data	data	PROPN
ajst-32533	117	3	collection	collection	NOUN
ajst-32533	117	4	process	process	NOUN
ajst-32533	117	5	fully	fully	ADV
ajst-32533	117	6	complied	comply	VERB
ajst-32533	117	7	with	with	ADP
ajst-32533	117	8	ethical	ethical	ADJ
ajst-32533	117	9	standards	standard	NOUN
ajst-32533	117	10	and	and	CCONJ
ajst-32533	117	11	protected	protect	VERB
ajst-32533	117	12	all	all	DET
ajst-32533	117	13	patients	patient	NOUN
ajst-32533	117	14	'	'	PART
ajst-32533	117	15	personal	personal	ADJ
ajst-32533	117	16	information	information	NOUN
ajst-32533	117	17	throughout	throughout	ADP
ajst-32533	117	18	the	the	DET
ajst-32533	117	19	research	research	NOUN
ajst-32533	117	20	.	.	PUNCT
ajst-32533	118	1	in	in	ADP
ajst-32533	118	2	this	this	DET
ajst-32533	118	3	paper	paper	NOUN
ajst-32533	118	4	,	,	PUNCT
ajst-32533	118	5	the	the	DET
ajst-32533	118	6	acquired	acquire	VERB
ajst-32533	118	7	ct	ct	NUM
ajst-32533	118	8	images	image	NOUN
ajst-32533	118	9	of	of	ADP
ajst-32533	118	10	colorectal	colorectal	ADJ
ajst-32533	118	11	cancer	cancer	NOUN
ajst-32533	118	12	are	be	AUX
ajst-32533	118	13	two	two	NUM
ajst-32533	118	14	-	-	PUNCT
ajst-32533	118	15	dimensional	dimensional	ADJ
ajst-32533	118	16	images	image	NOUN
ajst-32533	118	17	.	.	PUNCT
ajst-32533	119	1	compared	compare	VERB
ajst-32533	119	2	with	with	ADP
ajst-32533	119	3	three	three	NUM
ajst-32533	119	4	-	-	PUNCT
ajst-32533	119	5	dimensional	dimensional	ADJ
ajst-32533	119	6	ct	ct	NOUN
ajst-32533	119	7	images	image	NOUN
ajst-32533	119	8	,	,	PUNCT
ajst-32533	119	9	the	the	DET
ajst-32533	119	10	study	study	NOUN
ajst-32533	119	11	of	of	ADP
ajst-32533	119	12	two	two	NUM
ajst-32533	119	13	-	-	PUNCT
ajst-32533	119	14	dimensional	dimensional	ADJ
ajst-32533	119	15	ct	ct	NOUN
ajst-32533	119	16	images	image	NOUN
ajst-32533	119	17	will	will	AUX
ajst-32533	119	18	be	be	AUX
ajst-32533	119	19	more	more	ADV
ajst-32533	119	20	conducive	conducive	ADJ
ajst-32533	119	21	to	to	ADP
ajst-32533	119	22	assisting	assist	VERB
ajst-32533	119	23	diagnosis	diagnosis	NOUN
ajst-32533	119	24	.	.	PUNCT
ajst-32533	120	1	moreover	moreover	ADV
ajst-32533	120	2	,	,	PUNCT
ajst-32533	120	3	the	the	DET
ajst-32533	120	4	research	research	NOUN
ajst-32533	120	5	technology	technology	NOUN
ajst-32533	120	6	of	of	ADP
ajst-32533	120	7	two	two	NUM
ajst-32533	120	8	-	-	PUNCT
ajst-32533	120	9	dimensional	dimensional	ADJ
ajst-32533	120	10	images	image	NOUN
ajst-32533	120	11	is	be	AUX
ajst-32533	120	12	more	more	ADV
ajst-32533	120	13	mature	mature	ADJ
ajst-32533	120	14	than	than	ADP
ajst-32533	120	15	three	three	NUM
ajst-32533	120	16	-	-	PUNCT
ajst-32533	120	17	dimensional	dimensional	ADJ
ajst-32533	120	18	images	image	NOUN
ajst-32533	120	19	,	,	PUNCT
ajst-32533	120	20	and	and	CCONJ
ajst-32533	120	21	it	it	PRON
ajst-32533	120	22	is	be	AUX
ajst-32533	120	23	better	well	ADJ
ajst-32533	120	24	than	than	ADP
ajst-32533	120	25	three	three	NUM
ajst-32533	120	26	-	-	PUNCT
ajst-32533	120	27	dimensional	dimensional	ADJ
ajst-32533	120	28	models	model	NOUN
ajst-32533	120	29	in	in	ADP
ajst-32533	120	30	terms	term	NOUN
ajst-32533	120	31	of	of	ADP
ajst-32533	120	32	model	model	NOUN
ajst-32533	120	33	generalisation	generalisation	NOUN
ajst-32533	120	34	ability	ability	NOUN
ajst-32533	120	35	.	.	PUNCT
ajst-32533	121	1	the	the	DET
ajst-32533	121	2	dataset	dataset	NOUN
ajst-32533	121	3	comprises	comprise	VERB
ajst-32533	121	4	portal	portal	ADJ
ajst-32533	121	5	venous	venous	ADJ
ajst-32533	121	6	phase	phase	NOUN
ajst-32533	121	7	ct	ct	NUM
ajst-32533	121	8	images	image	NOUN
ajst-32533	121	9	from	from	ADP
ajst-32533	121	10	75	75	NUM
ajst-32533	121	11	colorectal	colorectal	ADJ
ajst-32533	121	12	cancer	cancer	NOUN
ajst-32533	121	13	patients	patient	NOUN
ajst-32533	121	14	and	and	CCONJ
ajst-32533	121	15	30	30	NUM
ajst-32533	121	16	normal	normal	ADJ
ajst-32533	121	17	abdominal	abdominal	ADJ
ajst-32533	121	18	ct	ct	PROPN
ajst-32533	121	19	scans	scan	NOUN
ajst-32533	121	20	.	.	PUNCT
ajst-32533	122	1	the	the	DET
ajst-32533	122	2	patient	patient	ADJ
ajst-32533	122	3	cohort	cohort	NOUN
ajst-32533	122	4	includes	include	VERB
ajst-32533	122	5	48	48	NUM
ajst-32533	122	6	males	male	NOUN
ajst-32533	122	7	and	and	CCONJ
ajst-32533	122	8	27	27	NUM
ajst-32533	122	9	females	female	NOUN
ajst-32533	122	10	,	,	PUNCT
ajst-32533	122	11	with	with	ADP
ajst-32533	122	12	ages	age	NOUN
ajst-32533	122	13	ranging	range	VERB
ajst-32533	122	14	from	from	ADP
ajst-32533	122	15	36	36	NUM
ajst-32533	122	16	to	to	PART
ajst-32533	122	17	92	92	NUM
ajst-32533	122	18	years	year	NOUN
ajst-32533	122	19	.	.	PUNCT
ajst-32533	123	1	a	a	DET
ajst-32533	123	2	significant	significant	ADJ
ajst-32533	123	3	majority	majority	NOUN
ajst-32533	123	4	(	(	PUNCT
ajst-32533	123	5	70.67	70.67	NUM
ajst-32533	123	6	%	%	NOUN
ajst-32533	123	7	)	)	PUNCT
ajst-32533	123	8	of	of	ADP
ajst-32533	123	9	patients	patient	NOUN
ajst-32533	123	10	fall	fall	VERB
ajst-32533	123	11	within	within	ADP
ajst-32533	123	12	the	the	DET
ajst-32533	123	13	50	50	NUM
ajst-32533	123	14	-	-	SYM
ajst-32533	123	15	80	80	NUM
ajst-32533	123	16	age	age	NOUN
ajst-32533	123	17	range	range	NOUN
ajst-32533	123	18	,	,	PUNCT
ajst-32533	123	19	totaling	total	VERB
ajst-32533	123	20	53	53	NUM
ajst-32533	123	21	individuals	individual	NOUN
ajst-32533	123	22	.	.	PUNCT
ajst-32533	124	1	in	in	ADP
ajst-32533	124	2	addition	addition	NOUN
ajst-32533	124	3	,	,	PUNCT
ajst-32533	124	4	of	of	ADP
ajst-32533	124	5	the	the	DET
ajst-32533	124	6	75	75	NUM
ajst-32533	124	7	patients	patient	NOUN
ajst-32533	124	8	,	,	PUNCT
ajst-32533	124	9	59	59	NUM
ajst-32533	124	10	(	(	PUNCT
ajst-32533	124	11	78.67	78.67	NUM
ajst-32533	124	12	per	per	ADP
ajst-32533	124	13	cent	cent	NOUN
ajst-32533	124	14	)	)	PUNCT
ajst-32533	124	15	had	have	VERB
ajst-32533	124	16	colon	colon	NOUN
ajst-32533	124	17	cancer	cancer	NOUN
ajst-32533	124	18	and	and	CCONJ
ajst-32533	124	19	16	16	NUM
ajst-32533	124	20	(	(	PUNCT
ajst-32533	124	21	21.33	21.33	NUM
ajst-32533	124	22	per	per	ADP
ajst-32533	124	23	cent	cent	NOUN
ajst-32533	124	24	)	)	PUNCT
ajst-32533	124	25	had	have	VERB
ajst-32533	124	26	rectal	rectal	ADJ
ajst-32533	124	27	cancer	cancer	NOUN
ajst-32533	124	28	.	.	PUNCT
ajst-32533	125	1	among	among	ADP
ajst-32533	125	2	the	the	DET
ajst-32533	125	3	colon	colon	NOUN
ajst-32533	125	4	cancers	cancer	NOUN
ajst-32533	125	5	,	,	PUNCT
ajst-32533	125	6	there	there	PRON
ajst-32533	125	7	were	be	VERB
ajst-32533	125	8	28	28	NUM
ajst-32533	125	9	cases	case	NOUN
ajst-32533	125	10	of	of	ADP
ajst-32533	125	11	sigmoid	sigmoid	NOUN
ajst-32533	125	12	colon	colon	NOUN
ajst-32533	125	13	cancer	cancer	NOUN
ajst-32533	125	14	,	,	PUNCT
ajst-32533	125	15	accounting	account	VERB
ajst-32533	125	16	for	for	ADP
ajst-32533	125	17	47.45	47.45	NUM
ajst-32533	125	18	%	%	NOUN
ajst-32533	125	19	of	of	ADP
ajst-32533	125	20	the	the	DET
ajst-32533	125	21	total	total	ADJ
ajst-32533	125	22	number	number	NOUN
ajst-32533	125	23	of	of	ADP
ajst-32533	125	24	colon	colon	NOUN
ajst-32533	125	25	cancers	cancer	NOUN
ajst-32533	125	26	.	.	PUNCT
ajst-32533	126	1	ct	ct	NUM
ajst-32533	126	2	images	image	NOUN
ajst-32533	126	3	of	of	ADP
ajst-32533	126	4	patients	patient	NOUN
ajst-32533	126	5	'	'	PART
ajst-32533	126	6	colorectal	colorectal	ADJ
ajst-32533	126	7	cancer	cancer	NOUN
ajst-32533	126	8	foci	focus	NOUN
ajst-32533	126	9	areas	area	NOUN
ajst-32533	126	10	mostly	mostly	ADV
ajst-32533	126	11	showed	show	VERB
ajst-32533	126	12	irregular	irregular	ADJ
ajst-32533	126	13	thickening	thickening	NOUN
ajst-32533	126	14	of	of	ADP
ajst-32533	126	15	the	the	DET
ajst-32533	126	16	bowel	bowel	NOUN
ajst-32533	126	17	wall	wall	NOUN
ajst-32533	126	18	,	,	PUNCT
ajst-32533	126	19	and	and	CCONJ
ajst-32533	126	20	patients	patient	NOUN
ajst-32533	126	21	'	'	PART
ajst-32533	126	22	colorectal	colorectal	ADJ
ajst-32533	126	23	cancer	cancer	NOUN
ajst-32533	126	24	foci	focus	NOUN
ajst-32533	126	25	areas	area	NOUN
ajst-32533	126	26	occurred	occur	VERB
ajst-32533	126	27	in	in	ADP
ajst-32533	126	28	the	the	DET
ajst-32533	126	29	rectum	rectum	NOUN
ajst-32533	126	30	,	,	PUNCT
ajst-32533	126	31	sigmoid	sigmoid	NOUN
ajst-32533	126	32	colon	colon	NOUN
ajst-32533	126	33	,	,	PUNCT
ajst-32533	126	34	ascending	ascend	VERB
ajst-32533	126	35	colon	colon	NOUN
ajst-32533	126	36	,	,	PUNCT
ajst-32533	126	37	hepatic	hepatic	ADJ
ajst-32533	126	38	flexure	flexure	NOUN
ajst-32533	126	39	of	of	ADP
ajst-32533	126	40	the	the	DET
ajst-32533	126	41	colon	colon	NOUN
ajst-32533	126	42	,	,	PUNCT
ajst-32533	126	43	transverse	transverse	NOUN
ajst-32533	126	44	colon	colon	NOUN
ajst-32533	126	45	,	,	PUNCT
ajst-32533	126	46	descending	descend	VERB
ajst-32533	126	47	colon	colon	NOUN
ajst-32533	126	48	,	,	PUNCT
ajst-32533	126	49	and	and	CCONJ
ajst-32533	126	50	sigmoid	sigmoid	NOUN
ajst-32533	126	51	colon	colon	NOUN
ajst-32533	126	52	and	and	CCONJ
ajst-32533	126	53	the	the	DET
ajst-32533	126	54	junction	junction	NOUN
ajst-32533	126	55	of	of	ADP
ajst-32533	126	56	rectal	rectal	ADJ
ajst-32533	126	57	cancer	cancer	NOUN
ajst-32533	126	58	,	,	PUNCT
ajst-32533	126	59	among	among	ADP
ajst-32533	126	60	which	which	PRON
ajst-32533	126	61	the	the	DET
ajst-32533	126	62	foci	focus	NOUN
ajst-32533	126	63	areas	area	NOUN
ajst-32533	126	64	occurred	occur	VERB
ajst-32533	126	65	in	in	ADP
ajst-32533	126	66	the	the	DET
ajst-32533	126	67	rectum	rectum	NOUN
ajst-32533	126	68	and	and	CCONJ
ajst-32533	126	69	sigmoid	sigmoid	NOUN
ajst-32533	126	70	colon	colon	NOUN
ajst-32533	126	71	with	with	ADP
ajst-32533	126	72	a	a	DET
ajst-32533	126	73	high	high	ADJ
ajst-32533	126	74	proportion	proportion	NOUN
ajst-32533	126	75	of	of	ADP
ajst-32533	126	76	the	the	DET
ajst-32533	126	77	foci	focus	NOUN
ajst-32533	126	78	areas	area	NOUN
ajst-32533	126	79	,	,	PUNCT
ajst-32533	126	80	which	which	PRON
ajst-32533	126	81	accounted	account	VERB
ajst-32533	126	82	for	for	ADP
ajst-32533	126	83	37.34	37.34	NUM
ajst-32533	126	84	%	%	NOUN
ajst-32533	126	85	and	and	CCONJ
ajst-32533	126	86	21.34	21.34	NUM
ajst-32533	126	87	%	%	NOUN
ajst-32533	126	88	of	of	ADP
ajst-32533	126	89	the	the	DET
ajst-32533	126	90	total	total	ADJ
ajst-32533	126	91	patients	patient	NOUN
ajst-32533	126	92	,	,	PUNCT
ajst-32533	126	93	and	and	CCONJ
ajst-32533	126	94	foci	focus	NOUN
ajst-32533	126	95	areas	area	NOUN
ajst-32533	126	96	showed	show	VERB
ajst-32533	126	97	a	a	DET
ajst-32533	126	98	diversity	diversity	NOUN
ajst-32533	126	99	.	.	PUNCT
ajst-32533	127	1	regions	region	NOUN
ajst-32533	127	2	showed	show	VERB
ajst-32533	127	3	diversity	diversity	NOUN
ajst-32533	127	4	.	.	PUNCT
ajst-32533	128	1	the	the	DET
ajst-32533	128	2	dataset	dataset	NOUN
ajst-32533	128	3	in	in	ADP
ajst-32533	128	4	this	this	DET
ajst-32533	128	5	paper	paper	NOUN
ajst-32533	128	6	contains	contain	VERB
ajst-32533	128	7	3057	3057	NUM
ajst-32533	128	8	ct	ct	NUM
ajst-32533	128	9	images	image	NOUN
ajst-32533	128	10	and	and	CCONJ
ajst-32533	128	11	corresponding	corresponding	ADJ
ajst-32533	128	12	mask	mask	NOUN
ajst-32533	128	13	images	image	NOUN
ajst-32533	128	14	.	.	PUNCT
ajst-32533	129	1	all	all	DET
ajst-32533	129	2	images	image	NOUN
ajst-32533	129	3	in	in	ADP
ajst-32533	129	4	the	the	DET
ajst-32533	129	5	dataset	dataset	NOUN
ajst-32533	129	6	have	have	VERB
ajst-32533	129	7	a	a	DET
ajst-32533	129	8	resolution	resolution	NOUN
ajst-32533	129	9	of	of	ADP
ajst-32533	129	10	512×512	512×512	NUM
ajst-32533	129	11	pixels	pixel	NOUN
ajst-32533	129	12	.	.	PUNCT
ajst-32533	130	1	for	for	ADP
ajst-32533	130	2	the	the	DET
ajst-32533	130	3	experimental	experimental	ADJ
ajst-32533	130	4	setup	setup	NOUN
ajst-32533	130	5	,	,	PUNCT
ajst-32533	130	6	2,700	2,700	NUM
ajst-32533	130	7	images	image	NOUN
ajst-32533	130	8	were	be	AUX
ajst-32533	130	9	randomly	randomly	ADV
ajst-32533	130	10	selected	select	VERB
ajst-32533	130	11	as	as	ADP
ajst-32533	130	12	the	the	DET
ajst-32533	130	13	training	training	NOUN
ajst-32533	130	14	set	set	NOUN
ajst-32533	130	15	,	,	PUNCT
ajst-32533	130	16	while	while	SCONJ
ajst-32533	130	17	the	the	DET
ajst-32533	130	18	remaining	remain	VERB
ajst-32533	130	19	357	357	NUM
ajst-32533	130	20	images	image	NOUN
ajst-32533	130	21	were	be	AUX
ajst-32533	130	22	allocated	allocate	VERB
ajst-32533	130	23	for	for	ADP
ajst-32533	130	24	testing	testing	NOUN
ajst-32533	130	25	purposes	purpose	NOUN
ajst-32533	130	26	.	.	PUNCT
ajst-32533	131	1	(	(	PUNCT
ajst-32533	131	2	a	a	X
ajst-32533	131	3	)	)	PUNCT
ajst-32533	131	4	transformation	transformation	NOUN
ajst-32533	131	5	and	and	CCONJ
ajst-32533	131	6	normalization	normalization	NOUN
ajst-32533	131	7	(	(	PUNCT
ajst-32533	131	8	b	b	X
ajst-32533	131	9	)	)	PUNCT
ajst-32533	131	10	mask	mask	NOUN
ajst-32533	131	11	fig	fig	NOUN
ajst-32533	131	12	5	5	NUM
ajst-32533	131	13	.	.	PUNCT
ajst-32533	132	1	mask	mask	NOUN
ajst-32533	132	2	mark	mark	NOUN
ajst-32533	132	3	the	the	DET
ajst-32533	132	4	segmentation	segmentation	NOUN
ajst-32533	132	5	data	datum	NOUN
ajst-32533	132	6	set	set	VERB
ajst-32533	132	7	needs	need	VERB
ajst-32533	132	8	to	to	PART
ajst-32533	132	9	use	use	VERB
ajst-32533	132	10	the	the	DET
ajst-32533	132	11	mask	mask	NOUN
ajst-32533	132	12	containing	contain	VERB
ajst-32533	132	13	the	the	DET
ajst-32533	132	14	target	target	NOUN
ajst-32533	132	15	area	area	NOUN
ajst-32533	132	16	as	as	ADP
ajst-32533	132	17	the	the	DET
ajst-32533	132	18	original	original	ADJ
ajst-32533	132	19	image	image	NOUN
ajst-32533	132	20	label	label	NOUN
ajst-32533	132	21	,	,	PUNCT
ajst-32533	132	22	and	and	CCONJ
ajst-32533	132	23	use	use	VERB
ajst-32533	132	24	the	the	DET
ajst-32533	132	25	annotation	annotation	NOUN
ajst-32533	132	26	software	software	NOUN
ajst-32533	132	27	to	to	PART
ajst-32533	132	28	manually	manually	ADV
ajst-32533	132	29	label	label	VERB
ajst-32533	132	30	the	the	DET
ajst-32533	132	31	nodule	nodule	NOUN
ajst-32533	132	32	position	position	NOUN
ajst-32533	132	33	to	to	PART
ajst-32533	132	34	generate	generate	VERB
ajst-32533	132	35	the	the	DET
ajst-32533	132	36	mask	mask	NOUN
ajst-32533	132	37	image	image	NOUN
ajst-32533	132	38	.	.	PUNCT
ajst-32533	133	1	there	there	PRON
ajst-32533	133	2	are	be	VERB
ajst-32533	133	3	only	only	ADV
ajst-32533	133	4	2	2	NUM
ajst-32533	133	5	categories	category	NOUN
ajst-32533	133	6	in	in	ADP
ajst-32533	133	7	the	the	DET
ajst-32533	133	8	mask	mask	NOUN
ajst-32533	133	9	,	,	PUNCT
ajst-32533	133	10	0	0	NUM
ajst-32533	133	11	and	and	CCONJ
ajst-32533	133	12	1	1	NUM
ajst-32533	133	13	,	,	PUNCT
ajst-32533	133	14	respectively	respectively	ADV
ajst-32533	133	15	.	.	PUNCT
ajst-32533	133	16	1	1	NUM
ajst-32533	133	17	represents	represent	VERB
ajst-32533	133	18	the	the	DET
ajst-32533	133	19	pixel	pixel	NOUN
ajst-32533	133	20	where	where	SCONJ
ajst-32533	133	21	the	the	DET
ajst-32533	133	22	nodule	nodule	NOUN
ajst-32533	133	23	is	be	AUX
ajst-32533	133	24	located	locate	VERB
ajst-32533	133	25	,	,	PUNCT
ajst-32533	133	26	and	and	CCONJ
ajst-32533	133	27	0	0	NUM
ajst-32533	133	28	represents	represent	VERB
ajst-32533	133	29	the	the	DET
ajst-32533	133	30	pixel	pixel	NOUN
ajst-32533	133	31	where	where	SCONJ
ajst-32533	133	32	the	the	DET
ajst-32533	133	33	nodule	nodule	NOUN
ajst-32533	133	34	is	be	AUX
ajst-32533	133	35	located	locate	VERB
ajst-32533	133	36	.	.	PUNCT
ajst-32533	134	1	the	the	DET
ajst-32533	134	2	white	white	PROPN
ajst-32533	134	3	area	area	NOUN
ajst-32533	134	4	circled	circle	VERB
ajst-32533	134	5	in	in	ADP
ajst-32533	134	6	fig	fig	NOUN
ajst-32533	134	7	.	.	PUNCT
ajst-32533	135	1	5(b	5(b	X
ajst-32533	135	2	)	)	PUNCT
ajst-32533	135	3	is	be	AUX
ajst-32533	135	4	the	the	DET
ajst-32533	135	5	shape	shape	NOUN
ajst-32533	135	6	generated	generate	VERB
ajst-32533	135	7	according	accord	VERB
ajst-32533	135	8	to	to	ADP
ajst-32533	135	9	the	the	DET
ajst-32533	135	10	position	position	NOUN
ajst-32533	135	11	of	of	ADP
ajst-32533	135	12	the	the	DET
ajst-32533	135	13	nodule	nodule	NOUN
ajst-32533	135	14	.	.	PUNCT
ajst-32533	136	1	the	the	DET
ajst-32533	136	2	dataset	dataset	NOUN
ajst-32533	136	3	was	be	AUX
ajst-32533	136	4	further	far	ADV
ajst-32533	136	5	categorized	categorize	VERB
ajst-32533	136	6	based	base	VERB
ajst-32533	136	7	on	on	ADP
ajst-32533	136	8	tumor	tumor	NOUN
ajst-32533	136	9	size	size	NOUN
ajst-32533	136	10	,	,	PUNCT
ajst-32533	136	11	containing	contain	VERB
ajst-32533	136	12	1,194	1,194	NUM
ajst-32533	136	13	images	image	NOUN
ajst-32533	136	14	of	of	ADP
ajst-32533	136	15	small	small	ADJ
ajst-32533	136	16	tumors	tumor	NOUN
ajst-32533	136	17	,	,	PUNCT
ajst-32533	136	18	1,125	1,125	NUM
ajst-32533	136	19	of	of	ADP
ajst-32533	136	20	medium	medium	ADJ
ajst-32533	136	21	tumors	tumor	NOUN
ajst-32533	136	22	,	,	PUNCT
ajst-32533	136	23	and	and	CCONJ
ajst-32533	136	24	738	738	NUM
ajst-32533	136	25	of	of	ADP
ajst-32533	136	26	large	large	ADJ
ajst-32533	136	27	tumors	tumor	NOUN
ajst-32533	136	28	.	.	PUNCT
ajst-32533	137	1	7	7	NUM
ajst-32533	137	2	fig	fig	NOUN
ajst-32533	137	3	6	6	NUM
ajst-32533	137	4	.	.	PUNCT
ajst-32533	137	5	schematic	schematic	ADJ
ajst-32533	137	6	diagram	diagram	NOUN
ajst-32533	137	7	of	of	ADP
ajst-32533	137	8	ct	ct	NUM
ajst-32533	137	9	image	image	NOUN
ajst-32533	137	10	cropping	crop	VERB
ajst-32533	137	11	since	since	SCONJ
ajst-32533	137	12	there	there	PRON
ajst-32533	137	13	are	be	VERB
ajst-32533	137	14	fewer	few	ADJ
ajst-32533	137	15	training	training	NOUN
ajst-32533	137	16	set	set	NOUN
ajst-32533	137	17	images	image	NOUN
ajst-32533	137	18	after	after	ADP
ajst-32533	137	19	medical	medical	ADJ
ajst-32533	137	20	image	image	NOUN
ajst-32533	137	21	division	division	NOUN
ajst-32533	137	22	,	,	PUNCT
ajst-32533	137	23	it	it	PRON
ajst-32533	137	24	is	be	AUX
ajst-32533	137	25	far	far	ADV
ajst-32533	137	26	from	from	ADP
ajst-32533	137	27	enough	enough	ADJ
ajst-32533	137	28	for	for	ADP
ajst-32533	137	29	deep	deep	ADJ
ajst-32533	137	30	learning	learning	NOUN
ajst-32533	137	31	.	.	PUNCT
ajst-32533	138	1	therefore	therefore	ADV
ajst-32533	138	2	,	,	PUNCT
ajst-32533	138	3	it	it	PRON
ajst-32533	138	4	is	be	AUX
ajst-32533	138	5	necessary	necessary	ADJ
ajst-32533	138	6	to	to	PART
ajst-32533	138	7	expand	expand	VERB
ajst-32533	138	8	the	the	DET
ajst-32533	138	9	sample	sample	NOUN
ajst-32533	138	10	size	size	NOUN
ajst-32533	138	11	of	of	ADP
ajst-32533	138	12	the	the	DET
ajst-32533	138	13	training	training	NOUN
ajst-32533	138	14	set	set	VERB
ajst-32533	138	15	through	through	ADP
ajst-32533	138	16	image	image	NOUN
ajst-32533	138	17	enhancement	enhancement	NOUN
ajst-32533	138	18	technology	technology	NOUN
ajst-32533	138	19	.	.	PUNCT
ajst-32533	139	1	to	to	PART
ajst-32533	139	2	enhance	enhance	VERB
ajst-32533	139	3	sample	sample	NOUN
ajst-32533	139	4	diversity	diversity	NOUN
ajst-32533	139	5	and	and	CCONJ
ajst-32533	139	6	improve	improve	VERB
ajst-32533	139	7	model	model	NOUN
ajst-32533	139	8	robustness	robustness	NOUN
ajst-32533	139	9	,	,	PUNCT
ajst-32533	139	10	this	this	DET
ajst-32533	139	11	study	study	NOUN
ajst-32533	139	12	employs	employ	VERB
ajst-32533	139	13	several	several	ADJ
ajst-32533	139	14	data	datum	NOUN
ajst-32533	139	15	augmentation	augmentation	NOUN
ajst-32533	139	16	techniques	technique	NOUN
ajst-32533	139	17	during	during	ADP
ajst-32533	139	18	the	the	DET
ajst-32533	139	19	training	training	NOUN
ajst-32533	139	20	phase	phase	NOUN
ajst-32533	139	21	,	,	PUNCT
ajst-32533	139	22	as	as	SCONJ
ajst-32533	139	23	illustrated	illustrate	VERB
ajst-32533	139	24	in	in	ADP
ajst-32533	139	25	fig	fig	NOUN
ajst-32533	139	26	.	.	PUNCT
ajst-32533	140	1	6	6	NUM
ajst-32533	140	2	.	.	PUNCT
ajst-32533	141	1	the	the	DET
ajst-32533	141	2	original	original	ADJ
ajst-32533	141	3	dataset	dataset	NOUN
ajst-32533	141	4	was	be	AUX
ajst-32533	141	5	expanded	expand	VERB
ajst-32533	141	6	through	through	ADP
ajst-32533	141	7	transformations	transformation	NOUN
ajst-32533	141	8	including	include	VERB
ajst-32533	141	9	image	image	NOUN
ajst-32533	141	10	flipping	flipping	NOUN
ajst-32533	141	11	,	,	PUNCT
ajst-32533	141	12	random	random	ADJ
ajst-32533	141	13	cropping	cropping	NOUN
ajst-32533	141	14	,	,	PUNCT
ajst-32533	141	15	and	and	CCONJ
ajst-32533	141	16	elastic	elastic	ADJ
ajst-32533	141	17	deformations	deformation	NOUN
ajst-32533	141	18	.	.	PUNCT
ajst-32533	142	1	3.2	3.2	NUM
ajst-32533	142	2	evaluation	evaluation	NOUN
ajst-32533	142	3	index	index	NOUN
ajst-32533	142	4	and	and	CCONJ
ajst-32533	142	5	loss	loss	NOUN
ajst-32533	142	6	function	function	NOUN
ajst-32533	142	7	to	to	PART
ajst-32533	142	8	quantitatively	quantitatively	ADV
ajst-32533	142	9	assess	assess	VERB
ajst-32533	142	10	tumor	tumor	NOUN
ajst-32533	142	11	segmentation	segmentation	NOUN
ajst-32533	142	12	performance	performance	NOUN
ajst-32533	142	13	,	,	PUNCT
ajst-32533	142	14	this	this	DET
ajst-32533	142	15	study	study	NOUN
ajst-32533	142	16	employs	employ	VERB
ajst-32533	142	17	two	two	NUM
ajst-32533	142	18	key	key	ADJ
ajst-32533	142	19	evaluation	evaluation	NOUN
ajst-32533	142	20	metrics	metric	NOUN
ajst-32533	142	21	.	.	PUNCT
ajst-32533	143	1	the	the	DET
ajst-32533	143	2	first	first	ADJ
ajst-32533	143	3	metric	metric	NOUN
ajst-32533	143	4	is	be	AUX
ajst-32533	143	5	the	the	DET
ajst-32533	143	6	dice	dice	NOUN
ajst-32533	143	7	similarity	similarity	NOUN
ajst-32533	143	8	coefficient	coefficient	NOUN
ajst-32533	143	9	,	,	PUNCT
ajst-32533	143	10	which	which	PRON
ajst-32533	143	11	measures	measure	VERB
ajst-32533	143	12	the	the	DET
ajst-32533	143	13	spatial	spatial	ADJ
ajst-32533	143	14	overlap	overlap	NOUN
ajst-32533	143	15	accuracy	accuracy	NOUN
ajst-32533	143	16	between	between	ADP
ajst-32533	143	17	segmented	segment	VERB
ajst-32533	143	18	and	and	CCONJ
ajst-32533	143	19	ground	ground	NOUN
ajst-32533	143	20	truth	truth	NOUN
ajst-32533	143	21	regions	region	NOUN
ajst-32533	143	22	.	.	PUNCT
ajst-32533	144	1	the	the	DET
ajst-32533	144	2	second	second	ADJ
ajst-32533	144	3	metric	metric	ADJ
ajst-32533	144	4	evaluates	evaluate	VERB
ajst-32533	144	5	the	the	DET
ajst-32533	144	6	precision	precision	NOUN
ajst-32533	144	7	of	of	ADP
ajst-32533	144	8	tumor	tumor	NOUN
ajst-32533	144	9	boundary	boundary	ADJ
ajst-32533	144	10	delineation	delineation	NOUN
ajst-32533	144	11	.	.	PUNCT
ajst-32533	145	1	semantic	semantic	ADJ
ajst-32533	145	2	segmentation	segmentation	NOUN
ajst-32533	145	3	is	be	AUX
ajst-32533	145	4	fundamentally	fundamentally	ADV
ajst-32533	145	5	a	a	DET
ajst-32533	145	6	task	task	NOUN
ajst-32533	145	7	of	of	ADP
ajst-32533	145	8	classifying	classify	VERB
ajst-32533	145	9	each	each	DET
ajst-32533	145	10	pixel	pixel	NOUN
ajst-32533	145	11	in	in	ADP
ajst-32533	145	12	an	an	DET
ajst-32533	145	13	image	image	NOUN
ajst-32533	145	14	.	.	PUNCT
ajst-32533	146	1	for	for	ADP
ajst-32533	146	2	this	this	DET
ajst-32533	146	3	purpose	purpose	NOUN
ajst-32533	146	4	,	,	PUNCT
ajst-32533	146	5	the	the	DET
ajst-32533	146	6	cross	cross	ADJ
ajst-32533	146	7	-	-	ADJ
ajst-32533	146	8	entropy	entropy	ADJ
ajst-32533	146	9	loss	loss	NOUN
ajst-32533	146	10	function	function	NOUN
ajst-32533	146	11	has	have	AUX
ajst-32533	146	12	been	be	AUX
ajst-32533	146	13	widely	widely	ADV
ajst-32533	146	14	adopted	adopt	VERB
ajst-32533	146	15	as	as	ADP
ajst-32533	146	16	the	the	DET
ajst-32533	146	17	standard	standard	ADJ
ajst-32533	146	18	choice	choice	NOUN
ajst-32533	146	19	.	.	PUNCT
ajst-32533	147	1	however	however	ADV
ajst-32533	147	2	,	,	PUNCT
ajst-32533	147	3	a	a	DET
ajst-32533	147	4	significant	significant	ADJ
ajst-32533	147	5	challenge	challenge	NOUN
ajst-32533	147	6	in	in	ADP
ajst-32533	147	7	medical	medical	ADJ
ajst-32533	147	8	imaging	imaging	NOUN
ajst-32533	147	9	is	be	AUX
ajst-32533	147	10	the	the	DET
ajst-32533	147	11	frequent	frequent	ADJ
ajst-32533	147	12	class	class	NOUN
ajst-32533	147	13	imbalance	imbalance	NOUN
ajst-32533	147	14	between	between	ADP
ajst-32533	147	15	target	target	NOUN
ajst-32533	147	16	structures	structure	NOUN
ajst-32533	147	17	and	and	CCONJ
ajst-32533	147	18	background	background	NOUN
ajst-32533	147	19	.	.	PUNCT
ajst-32533	148	1	the	the	DET
ajst-32533	148	2	conventional	conventional	ADJ
ajst-32533	148	3	cross	cross	ADJ
ajst-32533	148	4	-	-	ADJ
ajst-32533	148	5	entropy	entropy	ADJ
ajst-32533	148	6	loss	loss	NOUN
ajst-32533	148	7	is	be	AUX
ajst-32533	148	8	inadequate	inadequate	ADJ
ajst-32533	148	9	in	in	ADP
ajst-32533	148	10	handling	handle	VERB
ajst-32533	148	11	this	this	DET
ajst-32533	148	12	issue	issue	NOUN
ajst-32533	148	13	effectively	effectively	ADV
ajst-32533	148	14	.	.	PUNCT
ajst-32533	149	1	to	to	PART
ajst-32533	149	2	overcome	overcome	VERB
ajst-32533	149	3	this	this	DET
ajst-32533	149	4	limitation	limitation	NOUN
ajst-32533	149	5	,	,	PUNCT
ajst-32533	149	6	our	our	PRON
ajst-32533	149	7	work	work	NOUN
ajst-32533	149	8	employs	employ	VERB
ajst-32533	149	9	the	the	DET
ajst-32533	149	10	dice	dice	NOUN
ajst-32533	149	11	loss	loss	NOUN
ajst-32533	149	12	function	function	NOUN
ajst-32533	149	13	as	as	ADP
ajst-32533	149	14	a	a	DET
ajst-32533	149	15	replacement	replacement	NOUN
ajst-32533	149	16	for	for	ADP
ajst-32533	149	17	the	the	DET
ajst-32533	149	18	traditional	traditional	ADJ
ajst-32533	149	19	cross	cross	ADJ
ajst-32533	149	20	-	-	ADJ
ajst-32533	149	21	entropy	entropy	ADJ
ajst-32533	149	22	loss	loss	NOUN
ajst-32533	149	23	.	.	PUNCT
ajst-32533	150	1	1	1	NUM
ajst-32533	150	2	ice	ice	NOUN
ajst-32533	150	3	1	1	NUM
ajst-32533	150	4	i	i	NOUN
ajst-32533	150	5	1	1	NUM
ajst-32533	150	6	1	1	NUM
ajst-32533	150	7	2	2	NUM
ajst-32533	150	8	(	(	PUNCT
ajst-32533	150	9	,	,	PUNCT
ajst-32533	150	10	)	)	PUNCT
ajst-32533	150	11	(	(	PUNCT
ajst-32533	150	12	,	,	PUNCT
ajst-32533	150	13	)	)	PUNCT
ajst-32533	150	14	1	1	NUM
ajst-32533	150	15	(	(	PUNCT
ajst-32533	150	16	,	,	PUNCT
ajst-32533	150	17	)	)	PUNCT
ajst-32533	150	18	(	(	PUNCT
ajst-32533	150	19	,	,	PUNCT
ajst-32533	150	20	)	)	PUNCT
ajst-32533	150	21	n	n	CCONJ
ajst-32533	150	22	kk	kk	INTJ
ajst-32533	150	23	i	i	INTJ
ajst-32533	150	24	d	d	PROPN
ajst-32533	150	25	n	n	PROPN
ajst-32533	150	26	n	n	CCONJ
ajst-32533	150	27	k	k	NOUN
ajst-32533	151	1	i	i	INTJ
ajst-32533	151	2	w	w	PROPN
ajst-32533	152	1	p	p	X
ajst-32533	152	2	k	k	PROPN
ajst-32533	153	1	i	i	PRON
ajst-32533	153	2	g	g	PROPN
ajst-32533	154	1	k	k	NOUN
ajst-32533	155	1	i	i	PRON
ajst-32533	155	2	l	l	NOUN
ajst-32533	156	1	p	p	X
ajst-32533	156	2	k	k	X
ajst-32533	157	1	i	i	PRON
ajst-32533	157	2	g	g	PROPN
ajst-32533	158	1	k	k	PROPN
ajst-32533	159	1	i	i	PRON
ajst-32533	159	2			VERB
ajst-32533	160	1			PRON
ajst-32533	160	2			PRON
ajst-32533	161	1			NUM
ajst-32533	161	2			PROPN
ajst-32533	161	3			PROPN
ajst-32533	161	4			PUNCT
ajst-32533	161	5			X
ajst-32533	161	6			X
ajst-32533	161	7			X
ajst-32533	161	8			X
ajst-32533	161	9	(	(	PUNCT
ajst-32533	161	10	4	4	NUM
ajst-32533	161	11	)	)	PUNCT
ajst-32533	161	12	in	in	ADP
ajst-32533	161	13	this	this	DET
ajst-32533	161	14	context	context	NOUN
ajst-32533	161	15	,	,	PUNCT
ajst-32533	161	16	n	n	PRON
ajst-32533	161	17	denotes	denote	VERB
ajst-32533	161	18	the	the	DET
ajst-32533	161	19	total	total	ADJ
ajst-32533	161	20	pixel	pixel	PROPN
ajst-32533	161	21	count	count	NOUN
ajst-32533	161	22	,	,	PUNCT
ajst-32533	161	23	while	while	SCONJ
ajst-32533	161	24	k	k	PROPN
ajst-32533	161	25	represents	represent	VERB
ajst-32533	161	26	the	the	DET
ajst-32533	161	27	number	number	NOUN
ajst-32533	161	28	of	of	ADP
ajst-32533	161	29	semantic	semantic	ADJ
ajst-32533	161	30	categories	category	NOUN
ajst-32533	161	31	.	.	PUNCT
ajst-32533	162	1	the	the	DET
ajst-32533	162	2	value	value	NOUN
ajst-32533	162	3	of	of	ADP
ajst-32533	162	4	k	k	PROPN
ajst-32533	162	5	is	be	AUX
ajst-32533	162	6	set	set	VERB
ajst-32533	162	7	to	to	ADP
ajst-32533	162	8	2	2	NUM
ajst-32533	162	9	,	,	PUNCT
ajst-32533	162	10	corresponding	correspond	VERB
ajst-32533	162	11	to	to	ADP
ajst-32533	162	12	the	the	DET
ajst-32533	162	13	lesion	lesion	NOUN
ajst-32533	162	14	area	area	NOUN
ajst-32533	162	15	and	and	CCONJ
ajst-32533	162	16	the	the	DET
ajst-32533	162	17	background	background	NOUN
ajst-32533	162	18	.	.	PUNCT
ajst-32533	163	1	(	(	PUNCT
ajst-32533	163	2	k	k	X
ajst-32533	163	3	,	,	PUNCT
ajst-32533	163	4	i	i	NOUN
ajst-32533	163	5	)	)	PUNCT
ajst-32533	164	1	[	[	X
ajst-32533	164	2	0,1]p	0,1]p	NOUN
ajst-32533	164	3			NOUN
ajst-32533	164	4	represents	represent	VERB
ajst-32533	164	5	the	the	DET
ajst-32533	164	6	probability	probability	NOUN
ajst-32533	164	7	that	that	SCONJ
ajst-32533	164	8	the	the	DET
ajst-32533	164	9	pixel	pixel	NOUN
ajst-32533	164	10	is	be	AUX
ajst-32533	164	11	predicted	predict	VERB
ajst-32533	164	12	to	to	PART
ajst-32533	164	13	be	be	AUX
ajst-32533	164	14	a	a	DET
ajst-32533	164	15	category	category	NOUN
ajst-32533	164	16	,	,	PUNCT
ajst-32533	164	17	and	and	CCONJ
ajst-32533	164	18	(	(	PUNCT
ajst-32533	164	19	,	,	PUNCT
ajst-32533	164	20	)	)	PUNCT
ajst-32533	164	21	{	{	PUNCT
ajst-32533	164	22	0,1}k	0,1}k	NUM
ajst-32533	164	23	ig	ig	PROPN
ajst-32533	164	24			NOUN
ajst-32533	164	25	represents	represent	VERB
ajst-32533	164	26	the	the	DET
ajst-32533	164	27	label	label	NOUN
ajst-32533	164	28	value	value	NOUN
ajst-32533	164	29	of	of	ADP
ajst-32533	164	30	the	the	DET
ajst-32533	164	31	pixel	pixel	NOUN
ajst-32533	164	32	i	i	PRON
ajst-32533	164	33	belonging	belong	VERB
ajst-32533	164	34	to	to	ADP
ajst-32533	164	35	category	category	NOUN
ajst-32533	164	36	k.	k.	PROPN
ajst-32533	165	1	the	the	DET
ajst-32533	165	2	performance	performance	NOUN
ajst-32533	165	3	of	of	ADP
ajst-32533	165	4	the	the	DET
ajst-32533	165	5	proposed	propose	VERB
ajst-32533	165	6	segmentation	segmentation	NOUN
ajst-32533	165	7	method	method	NOUN
ajst-32533	165	8	is	be	AUX
ajst-32533	165	9	evaluated	evaluate	VERB
ajst-32533	165	10	using	use	VERB
ajst-32533	165	11	three	three	NUM
ajst-32533	165	12	standard	standard	ADJ
ajst-32533	165	13	metrics	metric	NOUN
ajst-32533	165	14	:	:	PUNCT
ajst-32533	165	15	the	the	DET
ajst-32533	165	16	dice	dice	NOUN
ajst-32533	165	17	similarity	similarity	NOUN
ajst-32533	165	18	coefficient	coefficient	NOUN
ajst-32533	165	19	(	(	PUNCT
ajst-32533	165	20	dsc	dsc	NOUN
ajst-32533	165	21	)	)	PUNCT
ajst-32533	165	22	,	,	PUNCT
ajst-32533	165	23	precision	precision	NOUN
ajst-32533	165	24	,	,	PUNCT
ajst-32533	165	25	and	and	CCONJ
ajst-32533	165	26	recall	recall	NOUN
ajst-32533	165	27	.	.	PUNCT
ajst-32533	166	1	the	the	DET
ajst-32533	166	2	formulas	formula	NOUN
ajst-32533	166	3	for	for	ADP
ajst-32533	166	4	calculating	calculate	VERB
ajst-32533	166	5	these	these	DET
ajst-32533	166	6	metrics	metric	NOUN
ajst-32533	166	7	are	be	AUX
ajst-32533	166	8	provided	provide	VERB
ajst-32533	166	9	below	below	ADP
ajst-32533	166	10	.	.	PUNCT
ajst-32533	167	1	2	2	NUM
ajst-32533	167	2	pr	pr	NOUN
ajst-32533	167	3	re	re	NOUN
ajst-32533	167	4	2	2	NUM
ajst-32533	167	5	+	+	CCONJ
ajst-32533	167	6	tp	tp	PART
ajst-32533	167	7	tp	tp	NOUN
ajst-32533	167	8	tp	tp	ADP
ajst-32533	167	9	dsc	dsc	PROPN
ajst-32533	167	10	ecision	ecision	NOUN
ajst-32533	167	11	call	call	VERB
ajst-32533	167	12	fp	fp	INTJ
ajst-32533	167	13	tp	tp	X
ajst-32533	167	14	fn	fn	PROPN
ajst-32533	167	15	tp	tp	ADP
ajst-32533	167	16	fp	fp	INTJ
ajst-32533	167	17	tp	tp	ADP
ajst-32533	167	18	fn	fn	PROPN
ajst-32533	168	1			ADJ
ajst-32533	168	2			PROPN
ajst-32533	168	3			PROPN
ajst-32533	168	4			ADV
ajst-32533	168	5			PUNCT
ajst-32533	168	6			X
ajst-32533	168	7	(	(	PUNCT
ajst-32533	168	8	5	5	X
ajst-32533	168	9	)	)	PUNCT
ajst-32533	168	10	the	the	DET
ajst-32533	168	11	dice	dice	NOUN
ajst-32533	168	12	coefficient	coefficient	NOUN
ajst-32533	168	13	serves	serve	VERB
ajst-32533	168	14	as	as	ADP
ajst-32533	168	15	a	a	DET
ajst-32533	168	16	metric	metric	NOUN
ajst-32533	168	17	to	to	PART
ajst-32533	168	18	quantify	quantify	VERB
ajst-32533	168	19	the	the	DET
ajst-32533	168	20	similarity	similarity	NOUN
ajst-32533	168	21	between	between	ADP
ajst-32533	168	22	the	the	DET
ajst-32533	168	23	model	model	NOUN
ajst-32533	168	24	's	's	PART
ajst-32533	168	25	predictions	prediction	NOUN
ajst-32533	168	26	and	and	CCONJ
ajst-32533	168	27	the	the	DET
ajst-32533	168	28	ground	ground	NOUN
ajst-32533	168	29	truth	truth	NOUN
ajst-32533	168	30	labels	label	VERB
ajst-32533	168	31	.	.	PUNCT
ajst-32533	169	1	in	in	ADP
ajst-32533	169	2	this	this	DET
ajst-32533	169	3	context	context	NOUN
ajst-32533	169	4	,	,	PUNCT
ajst-32533	169	5	true	true	ADJ
ajst-32533	169	6	positives	positive	NOUN
ajst-32533	169	7	(	(	PUNCT
ajst-32533	169	8	tp	tp	NOUN
ajst-32533	169	9	)	)	PUNCT
ajst-32533	169	10	represent	represent	VERB
ajst-32533	169	11	the	the	DET
ajst-32533	169	12	count	count	NOUN
ajst-32533	169	13	of	of	ADP
ajst-32533	169	14	positive	positive	ADJ
ajst-32533	169	15	samples	sample	NOUN
ajst-32533	169	16	that	that	PRON
ajst-32533	169	17	were	be	AUX
ajst-32533	169	18	correctly	correctly	ADV
ajst-32533	169	19	identified	identify	VERB
ajst-32533	169	20	.	.	PUNCT
ajst-32533	170	1	conversely	conversely	ADV
ajst-32533	170	2	,	,	PUNCT
ajst-32533	170	3	false	false	ADJ
ajst-32533	170	4	positives	positive	NOUN
ajst-32533	170	5	(	(	PUNCT
ajst-32533	170	6	fp	fp	X
ajst-32533	170	7	)	)	PUNCT
ajst-32533	170	8	occur	occur	VERB
ajst-32533	170	9	when	when	SCONJ
ajst-32533	170	10	negative	negative	ADJ
ajst-32533	170	11	samples	sample	NOUN
ajst-32533	170	12	are	be	AUX
ajst-32533	170	13	erroneously	erroneously	ADV
ajst-32533	170	14	classified	classify	VERB
ajst-32533	170	15	as	as	ADP
ajst-32533	170	16	positive	positive	ADJ
ajst-32533	170	17	,	,	PUNCT
ajst-32533	170	18	while	while	SCONJ
ajst-32533	170	19	false	false	ADJ
ajst-32533	170	20	negatives	negative	NOUN
ajst-32533	170	21	(	(	PUNCT
ajst-32533	170	22	fn	fn	NOUN
ajst-32533	170	23	)	)	PUNCT
ajst-32533	170	24	refer	refer	VERB
ajst-32533	170	25	to	to	ADP
ajst-32533	170	26	positive	positive	ADJ
ajst-32533	170	27	samples	sample	NOUN
ajst-32533	170	28	that	that	PRON
ajst-32533	170	29	are	be	AUX
ajst-32533	170	30	incorrectly	incorrectly	ADV
ajst-32533	170	31	predicted	predict	VERB
ajst-32533	170	32	as	as	ADP
ajst-32533	170	33	negative	negative	ADJ
ajst-32533	170	34	.	.	PUNCT
ajst-32533	171	1	based	base	VERB
ajst-32533	171	2	on	on	ADP
ajst-32533	171	3	these	these	DET
ajst-32533	171	4	core	core	NOUN
ajst-32533	171	5	components	component	NOUN
ajst-32533	171	6	,	,	PUNCT
ajst-32533	171	7	the	the	DET
ajst-32533	171	8	precision	precision	NOUN
ajst-32533	171	9	metric	metric	NOUN
ajst-32533	171	10	is	be	AUX
ajst-32533	171	11	defined	define	VERB
ajst-32533	171	12	as	as	ADP
ajst-32533	171	13	the	the	DET
ajst-32533	171	14	proportion	proportion	NOUN
ajst-32533	171	15	of	of	ADP
ajst-32533	171	16	correctly	correctly	ADV
ajst-32533	171	17	predicted	predict	VERB
ajst-32533	171	18	tumor	tumor	NOUN
ajst-32533	171	19	pixels	pixel	NOUN
ajst-32533	171	20	out	out	ADP
ajst-32533	171	21	of	of	ADP
ajst-32533	171	22	all	all	DET
ajst-32533	171	23	pixels	pixel	NOUN
ajst-32533	171	24	the	the	DET
ajst-32533	171	25	model	model	NOUN
ajst-32533	171	26	identified	identify	VERB
ajst-32533	171	27	as	as	ADP
ajst-32533	171	28	tumor	tumor	NOUN
ajst-32533	171	29	.	.	PUNCT
ajst-32533	172	1	meanwhile	meanwhile	ADV
ajst-32533	172	2	,	,	PUNCT
ajst-32533	172	3	the	the	DET
ajst-32533	172	4	recall	recall	NOUN
ajst-32533	172	5	metric	metric	NOUN
ajst-32533	172	6	is	be	AUX
ajst-32533	172	7	calculated	calculate	VERB
ajst-32533	172	8	as	as	ADP
ajst-32533	172	9	the	the	DET
ajst-32533	172	10	ratio	ratio	NOUN
ajst-32533	172	11	of	of	ADP
ajst-32533	172	12	correctly	correctly	ADV
ajst-32533	172	13	predicted	predict	VERB
ajst-32533	172	14	tumor	tumor	NOUN
ajst-32533	172	15	pixels	pixel	NOUN
ajst-32533	172	16	to	to	ADP
ajst-32533	172	17	the	the	DET
ajst-32533	172	18	total	total	ADJ
ajst-32533	172	19	number	number	NOUN
ajst-32533	172	20	of	of	ADP
ajst-32533	172	21	actual	actual	ADJ
ajst-32533	172	22	tumor	tumor	NOUN
ajst-32533	172	23	pixels	pixel	NOUN
ajst-32533	172	24	present	present	ADJ
ajst-32533	172	25	in	in	ADP
ajst-32533	172	26	the	the	DET
ajst-32533	172	27	data	datum	NOUN
ajst-32533	172	28	.	.	PUNCT
ajst-32533	173	1	8	8	NUM
ajst-32533	173	2	3.3	3.3	NUM
ajst-32533	173	3	experimental	experimental	ADJ
ajst-32533	173	4	environment	environment	NOUN
ajst-32533	173	5	experimental	experimental	ADJ
ajst-32533	173	6	platform	platform	NOUN
ajst-32533	173	7	hardware	hardware	NOUN
ajst-32533	173	8	configuration	configuration	NOUN
ajst-32533	173	9	:	:	PUNCT
ajst-32533	173	10	intel(r	intel(r	NOUN
ajst-32533	173	11	)	)	PUNCT
ajst-32533	173	12	core(tm	core(tm	NOUN
ajst-32533	173	13	)	)	PUNCT
ajst-32533	173	14	i5	i5	ADJ
ajst-32533	173	15	-	-	PUNCT
ajst-32533	173	16	9300h	9300h	NOUN
ajst-32533	173	17	cpu	cpu	NOUN
ajst-32533	173	18	@	@	ADP
ajst-32533	173	19	2.40ghzcpu	2.40ghzcpu	NUM
ajst-32533	173	20	;	;	PUNCT
ajst-32533	173	21	16	16	NUM
ajst-32533	173	22	gb	gb	NOUN
ajst-32533	173	23	memory	memory	NOUN
ajst-32533	173	24	;	;	PUNCT
ajst-32533	173	25	gtx1660ti	gtx1660ti	NOUN
ajst-32533	173	26	graphics	graphic	NOUN
ajst-32533	173	27	card	card	NOUN
ajst-32533	173	28	,	,	PUNCT
ajst-32533	173	29	6	6	NUM
ajst-32533	173	30	g	g	NOUN
ajst-32533	173	31	video	video	NOUN
ajst-32533	173	32	memory	memory	NOUN
ajst-32533	173	33	;	;	PUNCT
ajst-32533	173	34	64	64	NUM
ajst-32533	173	35	-	-	PUNCT
ajst-32533	173	36	bit	bit	NOUN
ajst-32533	173	37	windows	window	NOUN
ajst-32533	173	38	operating	operating	NOUN
ajst-32533	173	39	system	system	NOUN
ajst-32533	173	40	.	.	PUNCT
ajst-32533	174	1	software	software	NOUN
ajst-32533	174	2	:	:	PUNCT
ajst-32533	174	3	anaconda3	anaconda3	PROPN
ajst-32533	174	4	is	be	AUX
ajst-32533	174	5	selected	select	VERB
ajst-32533	174	6	as	as	ADP
ajst-32533	174	7	the	the	DET
ajst-32533	174	8	development	development	NOUN
ajst-32533	174	9	platform	platform	NOUN
ajst-32533	174	10	,	,	PUNCT
ajst-32533	174	11	and	and	CCONJ
ajst-32533	174	12	the	the	DET
ajst-32533	174	13	network	network	NOUN
ajst-32533	174	14	model	model	NOUN
ajst-32533	174	15	architecture	architecture	NOUN
ajst-32533	174	16	is	be	AUX
ajst-32533	174	17	based	base	VERB
ajst-32533	174	18	on	on	ADP
ajst-32533	174	19	the	the	DET
ajst-32533	174	20	keras	keras	PROPN
ajst-32533	174	21	environment	environment	NOUN
ajst-32533	174	22	of	of	ADP
ajst-32533	174	23	the	the	DET
ajst-32533	174	24	tensorflow	tensorflow	NOUN
ajst-32533	174	25	background	background	NOUN
ajst-32533	174	26	to	to	PART
ajst-32533	174	27	realize	realize	VERB
ajst-32533	174	28	the	the	DET
ajst-32533	174	29	construction	construction	NOUN
ajst-32533	174	30	of	of	ADP
ajst-32533	174	31	the	the	DET
ajst-32533	174	32	dra	dra	PROPN
ajst-32533	174	33	-	-	PUNCT
ajst-32533	174	34	unet	unet	NOUN
ajst-32533	174	35	network	network	NOUN
ajst-32533	174	36	.	.	PUNCT
ajst-32533	175	1	3.4	3.4	NUM
ajst-32533	175	2	results	result	NOUN
ajst-32533	175	3	and	and	CCONJ
ajst-32533	175	4	analysis	analysis	NOUN
ajst-32533	175	5	fig	fig	NOUN
ajst-32533	175	6	7	7	NUM
ajst-32533	175	7	.	.	PUNCT
ajst-32533	175	8	loss	loss	NOUN
ajst-32533	175	9	function	function	NOUN
ajst-32533	175	10	variations	variation	NOUN
ajst-32533	175	11	for	for	ADP
ajst-32533	175	12	the	the	DET
ajst-32533	175	13	four	four	NUM
ajst-32533	175	14	network	network	NOUN
ajst-32533	175	15	models	model	NOUN
ajst-32533	175	16	fig	fig	NOUN
ajst-32533	175	17	.	.	PUNCT
ajst-32533	176	1	7	7	NUM
ajst-32533	176	2	presents	present	VERB
ajst-32533	176	3	a	a	DET
ajst-32533	176	4	comparative	comparative	ADJ
ajst-32533	176	5	analysis	analysis	NOUN
ajst-32533	176	6	of	of	ADP
ajst-32533	176	7	the	the	DET
ajst-32533	176	8	loss	loss	NOUN
ajst-32533	176	9	function	function	NOUN
ajst-32533	176	10	curves	curve	NOUN
ajst-32533	176	11	for	for	ADP
ajst-32533	176	12	four	four	NUM
ajst-32533	176	13	network	network	NOUN
ajst-32533	176	14	models	model	NOUN
ajst-32533	176	15	—	—	PUNCT
ajst-32533	176	16	fcn	fcn	NOUN
ajst-32533	176	17	,	,	PUNCT
ajst-32533	176	18	u	u	NOUN
ajst-32533	176	19	-	-	NOUN
ajst-32533	176	20	net	net	ADJ
ajst-32533	176	21	,	,	PUNCT
ajst-32533	176	22	dense	dense	ADJ
ajst-32533	176	23	-	-	PUNCT
ajst-32533	176	24	unet[15	unet[15	NOUN
ajst-32533	176	25	]	]	PUNCT
ajst-32533	176	26	,	,	PUNCT
ajst-32533	176	27	and	and	CCONJ
ajst-32533	176	28	the	the	DET
ajst-32533	176	29	proposed	propose	VERB
ajst-32533	176	30	dra	dra	PROPN
ajst-32533	176	31	-	-	PUNCT
ajst-32533	176	32	unet	unet	NOUN
ajst-32533	176	33	—	—	PUNCT
ajst-32533	176	34	evaluated	evaluate	VERB
ajst-32533	176	35	on	on	ADP
ajst-32533	176	36	both	both	CCONJ
ajst-32533	176	37	their	their	PRON
ajst-32533	176	38	training	training	NOUN
ajst-32533	176	39	and	and	CCONJ
ajst-32533	176	40	validation	validation	NOUN
ajst-32533	176	41	sets	set	NOUN
ajst-32533	176	42	.	.	PUNCT
ajst-32533	177	1	as	as	SCONJ
ajst-32533	177	2	seen	see	VERB
ajst-32533	177	3	in	in	ADP
ajst-32533	177	4	the	the	DET
ajst-32533	177	5	figure	figure	NOUN
ajst-32533	177	6	,	,	PUNCT
ajst-32533	177	7	the	the	DET
ajst-32533	177	8	loss	loss	NOUN
ajst-32533	177	9	profile	profile	NOUN
ajst-32533	177	10	of	of	ADP
ajst-32533	177	11	the	the	DET
ajst-32533	177	12	validation	validation	NOUN
ajst-32533	177	13	set	set	NOUN
ajst-32533	177	14	of	of	ADP
ajst-32533	177	15	dra	dra	PROPN
ajst-32533	177	16	-	-	PUNCT
ajst-32533	177	17	unet	unet	NOUN
ajst-32533	177	18	converges	converge	NOUN
ajst-32533	177	19	after	after	ADP
ajst-32533	177	20	30	30	NUM
ajst-32533	177	21	time	time	NOUN
ajst-32533	177	22	periods	period	NOUN
ajst-32533	177	23	,	,	PUNCT
ajst-32533	177	24	but	but	CCONJ
ajst-32533	177	25	the	the	DET
ajst-32533	177	26	validation	validation	NOUN
ajst-32533	177	27	sets	set	NOUN
ajst-32533	177	28	of	of	ADP
ajst-32533	177	29	the	the	DET
ajst-32533	177	30	other	other	ADJ
ajst-32533	177	31	three	three	NUM
ajst-32533	177	32	models	model	NOUN
ajst-32533	177	33	converge	converge	VERB
ajst-32533	177	34	less	less	ADV
ajst-32533	177	35	well	well	ADV
ajst-32533	177	36	.	.	PUNCT
ajst-32533	178	1	therefore	therefore	ADV
ajst-32533	178	2	,	,	PUNCT
ajst-32533	178	3	compared	compare	VERB
ajst-32533	178	4	with	with	ADP
ajst-32533	178	5	the	the	DET
ajst-32533	178	6	three	three	NUM
ajst-32533	178	7	network	network	NOUN
ajst-32533	178	8	models	model	NOUN
ajst-32533	178	9	,	,	PUNCT
ajst-32533	178	10	fcn	fcn	PROPN
ajst-32533	178	11	,	,	PUNCT
ajst-32533	178	12	u	u	NOUN
ajst-32533	178	13	-	-	NOUN
ajst-32533	178	14	net	net	ADJ
ajst-32533	178	15	and	and	CCONJ
ajst-32533	178	16	dense	dense	ADJ
ajst-32533	178	17	-	-	PUNCT
ajst-32533	178	18	unet	unet	NOUN
ajst-32533	178	19	,	,	PUNCT
ajst-32533	178	20	dra	dra	PROPN
ajst-32533	178	21	-	-	PUNCT
ajst-32533	178	22	unet	unet	NOUN
ajst-32533	178	23	can	can	AUX
ajst-32533	178	24	effectively	effectively	ADV
ajst-32533	178	25	solve	solve	VERB
ajst-32533	178	26	the	the	DET
ajst-32533	178	27	overfitting	overfitte	VERB
ajst-32533	178	28	problem	problem	NOUN
ajst-32533	178	29	in	in	ADP
ajst-32533	178	30	classification	classification	NOUN
ajst-32533	178	31	.	.	PUNCT
ajst-32533	179	1	to	to	PART
ajst-32533	179	2	evaluate	evaluate	VERB
ajst-32533	179	3	the	the	DET
ajst-32533	179	4	performance	performance	NOUN
ajst-32533	179	5	of	of	ADP
ajst-32533	179	6	our	our	PRON
ajst-32533	179	7	enhanced	enhanced	ADJ
ajst-32533	179	8	model	model	NOUN
ajst-32533	179	9	,	,	PUNCT
ajst-32533	179	10	we	we	PRON
ajst-32533	179	11	conducted	conduct	VERB
ajst-32533	179	12	a	a	DET
ajst-32533	179	13	comparative	comparative	ADJ
ajst-32533	179	14	analysis	analysis	NOUN
ajst-32533	179	15	against	against	ADP
ajst-32533	179	16	three	three	NUM
ajst-32533	179	17	established	establish	VERB
ajst-32533	179	18	networks	network	NOUN
ajst-32533	179	19	:	:	PUNCT
ajst-32533	179	20	fcn	fcn	NOUN
ajst-32533	179	21	,	,	PUNCT
ajst-32533	179	22	u	u	NOUN
ajst-32533	179	23	-	-	NOUN
ajst-32533	179	24	net	net	ADJ
ajst-32533	179	25	,	,	PUNCT
ajst-32533	179	26	and	and	CCONJ
ajst-32533	179	27	dense	dense	ADJ
ajst-32533	179	28	-	-	PUNCT
ajst-32533	179	29	unet	unet	NOUN
ajst-32533	179	30	.	.	PUNCT
ajst-32533	180	1	as	as	SCONJ
ajst-32533	180	2	summarized	summarize	VERB
ajst-32533	180	3	in	in	ADP
ajst-32533	180	4	table	table	NOUN
ajst-32533	180	5	1	1	NUM
ajst-32533	180	6	,	,	PUNCT
ajst-32533	180	7	the	the	DET
ajst-32533	180	8	fcn	fcn	NOUN
ajst-32533	180	9	model	model	NOUN
ajst-32533	180	10	yields	yield	VERB
ajst-32533	180	11	the	the	DET
ajst-32533	180	12	least	least	ADV
ajst-32533	180	13	favorable	favorable	ADJ
ajst-32533	180	14	segmentation	segmentation	NOUN
ajst-32533	180	15	outcomes	outcome	NOUN
ajst-32533	180	16	.	.	PUNCT
ajst-32533	181	1	this	this	DET
ajst-32533	181	2	limitation	limitation	NOUN
ajst-32533	181	3	stems	stem	VERB
ajst-32533	181	4	from	from	ADP
ajst-32533	181	5	its	its	PRON
ajst-32533	181	6	architectural	architectural	ADJ
ajst-32533	181	7	design	design	NOUN
ajst-32533	181	8	,	,	PUNCT
ajst-32533	181	9	which	which	PRON
ajst-32533	181	10	underutilizes	underutilize	VERB
ajst-32533	181	11	multi	multi	ADJ
ajst-32533	181	12	-	-	ADJ
ajst-32533	181	13	level	level	ADJ
ajst-32533	181	14	feature	feature	NOUN
ajst-32533	181	15	information	information	NOUN
ajst-32533	181	16	.	.	PUNCT
ajst-32533	182	1	the	the	DET
ajst-32533	182	2	fcn	fcn	PROPN
ajst-32533	182	3	network	network	NOUN
ajst-32533	182	4	primarily	primarily	ADV
ajst-32533	182	5	relies	rely	VERB
ajst-32533	182	6	on	on	ADP
ajst-32533	182	7	upsampling	upsample	VERB
ajst-32533	182	8	the	the	DET
ajst-32533	182	9	final	final	ADJ
ajst-32533	182	10	convolutional	convolutional	ADJ
ajst-32533	182	11	features	feature	NOUN
ajst-32533	182	12	to	to	ADP
ajst-32533	182	13	the	the	DET
ajst-32533	182	14	original	original	ADJ
ajst-32533	182	15	image	image	NOUN
ajst-32533	182	16	resolution	resolution	NOUN
ajst-32533	182	17	,	,	PUNCT
ajst-32533	182	18	a	a	DET
ajst-32533	182	19	process	process	NOUN
ajst-32533	182	20	that	that	PRON
ajst-32533	182	21	overlooks	overlook	VERB
ajst-32533	182	22	the	the	DET
ajst-32533	182	23	crucial	crucial	ADJ
ajst-32533	182	24	spatial	spatial	ADJ
ajst-32533	182	25	relationships	relationship	NOUN
ajst-32533	182	26	between	between	ADP
ajst-32533	182	27	pixel	pixel	NOUN
ajst-32533	182	28	localization	localization	NOUN
ajst-32533	182	29	and	and	CCONJ
ajst-32533	182	30	classification	classification	NOUN
ajst-32533	182	31	,	,	PUNCT
ajst-32533	182	32	consequently	consequently	ADV
ajst-32533	182	33	producing	produce	VERB
ajst-32533	182	34	coarser	coarse	ADJ
ajst-32533	182	35	results	result	NOUN
ajst-32533	182	36	.	.	PUNCT
ajst-32533	183	1	in	in	ADP
ajst-32533	183	2	contrast	contrast	NOUN
ajst-32533	183	3	,	,	PUNCT
ajst-32533	183	4	u	u	NOUN
ajst-32533	183	5	-	-	ADJ
ajst-32533	183	6	net	net	ADJ
ajst-32533	183	7	-	-	PUNCT
ajst-32533	183	8	based	base	VERB
ajst-32533	183	9	architectures	architecture	NOUN
ajst-32533	183	10	,	,	PUNCT
ajst-32533	183	11	including	include	VERB
ajst-32533	183	12	u	u	NOUN
ajst-32533	183	13	-	-	NOUN
ajst-32533	183	14	net	net	ADJ
ajst-32533	183	15	and	and	CCONJ
ajst-32533	183	16	dense	dense	ADJ
ajst-32533	183	17	-	-	PUNCT
ajst-32533	183	18	unet	unet	NOUN
ajst-32533	183	19	,	,	PUNCT
ajst-32533	183	20	integrate	integrate	VERB
ajst-32533	183	21	skip	skip	ADJ
ajst-32533	183	22	connections	connection	NOUN
ajst-32533	183	23	to	to	PART
ajst-32533	183	24	merge	merge	VERB
ajst-32533	183	25	shallow	shallow	ADJ
ajst-32533	183	26	and	and	CCONJ
ajst-32533	183	27	deep	deep	ADJ
ajst-32533	183	28	features	feature	NOUN
ajst-32533	183	29	,	,	PUNCT
ajst-32533	183	30	thereby	thereby	ADV
ajst-32533	183	31	capturing	capture	VERB
ajst-32533	183	32	a	a	DET
ajst-32533	183	33	richer	rich	ADJ
ajst-32533	183	34	set	set	NOUN
ajst-32533	183	35	of	of	ADP
ajst-32533	183	36	characteristics	characteristic	NOUN
ajst-32533	183	37	.	.	PUNCT
ajst-32533	184	1	however	however	ADV
ajst-32533	184	2	,	,	PUNCT
ajst-32533	184	3	the	the	DET
ajst-32533	184	4	shallow	shallow	ADJ
ajst-32533	184	5	features	feature	NOUN
ajst-32533	184	6	from	from	ADP
ajst-32533	184	7	the	the	DET
ajst-32533	184	8	encoder	encoder	NOUN
ajst-32533	184	9	often	often	ADV
ajst-32533	184	10	contain	contain	VERB
ajst-32533	184	11	limited	limited	ADJ
ajst-32533	184	12	semantic	semantic	ADJ
ajst-32533	184	13	information	information	NOUN
ajst-32533	184	14	and	and	CCONJ
ajst-32533	184	15	significant	significant	ADJ
ajst-32533	184	16	redundancy	redundancy	NOUN
ajst-32533	184	17	,	,	PUNCT
ajst-32533	184	18	which	which	PRON
ajst-32533	184	19	can	can	AUX
ajst-32533	184	20	adversely	adversely	ADV
ajst-32533	184	21	impact	impact	VERB
ajst-32533	184	22	the	the	DET
ajst-32533	184	23	final	final	ADJ
ajst-32533	184	24	9	9	NUM
ajst-32533	184	25	segmentation	segmentation	NOUN
ajst-32533	184	26	quality	quality	NOUN
ajst-32533	184	27	.	.	PUNCT
ajst-32533	185	1	the	the	DET
ajst-32533	185	2	method	method	NOUN
ajst-32533	185	3	proposed	propose	VERB
ajst-32533	185	4	in	in	ADP
ajst-32533	185	5	this	this	DET
ajst-32533	185	6	paper	paper	NOUN
ajst-32533	185	7	achieves	achieve	VERB
ajst-32533	185	8	superior	superior	ADJ
ajst-32533	185	9	results	result	NOUN
ajst-32533	185	10	across	across	ADP
ajst-32533	185	11	multiple	multiple	ADJ
ajst-32533	185	12	evaluation	evaluation	NOUN
ajst-32533	185	13	metrics	metric	NOUN
ajst-32533	185	14	compared	compare	VERB
ajst-32533	185	15	to	to	ADP
ajst-32533	185	16	the	the	DET
ajst-32533	185	17	three	three	NUM
ajst-32533	185	18	benchmark	benchmark	NOUN
ajst-32533	185	19	models	model	NOUN
ajst-32533	185	20	.	.	PUNCT
ajst-32533	186	1	this	this	DET
ajst-32533	186	2	performance	performance	NOUN
ajst-32533	186	3	improvement	improvement	NOUN
ajst-32533	186	4	can	can	AUX
ajst-32533	186	5	be	be	AUX
ajst-32533	186	6	primarily	primarily	ADV
ajst-32533	186	7	attributed	attribute	VERB
ajst-32533	186	8	to	to	ADP
ajst-32533	186	9	our	our	PRON
ajst-32533	186	10	strategic	strategic	ADJ
ajst-32533	186	11	enhancements	enhancement	NOUN
ajst-32533	186	12	to	to	ADP
ajst-32533	186	13	the	the	DET
ajst-32533	186	14	network	network	NOUN
ajst-32533	186	15	structure	structure	NOUN
ajst-32533	186	16	.	.	PUNCT
ajst-32533	187	1	table	table	NOUN
ajst-32533	187	2	1	1	NUM
ajst-32533	187	3	.	.	PUNCT
ajst-32533	187	4	comparison	comparison	NOUN
ajst-32533	187	5	of	of	ADP
ajst-32533	187	6	segmentation	segmentation	NOUN
ajst-32533	187	7	performance	performance	NOUN
ajst-32533	187	8	of	of	ADP
ajst-32533	187	9	four	four	NUM
ajst-32533	187	10	models	model	NOUN
ajst-32533	187	11	model	model	NOUN
ajst-32533	187	12	precision	precision	NOUN
ajst-32533	187	13	(	(	PUNCT
ajst-32533	187	14	%	%	INTJ
ajst-32533	187	15	)	)	PUNCT
ajst-32533	187	16	recall	recall	NOUN
ajst-32533	187	17	(	(	PUNCT
ajst-32533	187	18	%	%	INTJ
ajst-32533	187	19	)	)	PUNCT
ajst-32533	187	20	dice	dice	NOUN
ajst-32533	187	21	coefficient(%	coefficient(%	NOUN
ajst-32533	187	22	)	)	PUNCT
ajst-32533	187	23	fcn	fcn	NOUN
ajst-32533	187	24	82.30	82.30	NUM
ajst-32533	187	25	%	%	NOUN
ajst-32533	187	26	79.14	79.14	NUM
ajst-32533	187	27	%	%	NOUN
ajst-32533	187	28	80.85	80.85	NUM
ajst-32533	187	29	%	%	NOUN
ajst-32533	187	30	u	u	NOUN
ajst-32533	187	31	-	-	NOUN
ajst-32533	187	32	net	net	ADJ
ajst-32533	187	33	84.79	84.79	NUM
ajst-32533	187	34	%	%	NOUN
ajst-32533	187	35	80.68	80.68	NUM
ajst-32533	187	36	%	%	NOUN
ajst-32533	187	37	84.67	84.67	NUM
ajst-32533	187	38	%	%	NOUN
ajst-32533	187	39	dense	dense	ADJ
ajst-32533	187	40	-	-	PUNCT
ajst-32533	187	41	unet	unet	NOUN
ajst-32533	187	42	86.65	86.65	NUM
ajst-32533	187	43	%	%	NOUN
ajst-32533	187	44	83.66	83.66	NUM
ajst-32533	187	45	%	%	NOUN
ajst-32533	187	46	87.59	87.59	NUM
ajst-32533	187	47	%	%	NOUN
ajst-32533	187	48	dra	dra	PROPN
ajst-32533	187	49	-	-	PUNCT
ajst-32533	187	50	unet	unet	NOUN
ajst-32533	187	51	91.38	91.38	NUM
ajst-32533	187	52	%	%	NOUN
ajst-32533	187	53	84.08	84.08	NUM
ajst-32533	187	54	%	%	NOUN
ajst-32533	187	55	90.68	90.68	NUM
ajst-32533	187	56	%	%	NOUN
ajst-32533	187	57	fig	fig	NOUN
ajst-32533	187	58	8	8	NUM
ajst-32533	187	59	.	.	PUNCT
ajst-32533	188	1	graph	graph	NOUN
ajst-32533	188	2	of	of	ADP
ajst-32533	188	3	segmentation	segmentation	NOUN
ajst-32533	188	4	results	result	NOUN
ajst-32533	188	5	for	for	ADP
ajst-32533	188	6	four	four	NUM
ajst-32533	188	7	models	model	NOUN
ajst-32533	188	8	fig	fig	NOUN
ajst-32533	188	9	.	.	PUNCT
ajst-32533	188	10	8	8	NUM
ajst-32533	188	11	presents	present	VERB
ajst-32533	188	12	a	a	DET
ajst-32533	188	13	visual	visual	ADJ
ajst-32533	188	14	comparison	comparison	NOUN
ajst-32533	188	15	of	of	ADP
ajst-32533	188	16	colorectal	colorectal	ADJ
ajst-32533	188	17	cancer	cancer	NOUN
ajst-32533	188	18	tumor	tumor	NOUN
ajst-32533	188	19	segmentation	segmentation	NOUN
ajst-32533	188	20	results	result	NOUN
ajst-32533	188	21	generated	generate	VERB
ajst-32533	188	22	by	by	ADP
ajst-32533	188	23	four	four	NUM
ajst-32533	188	24	different	different	ADJ
ajst-32533	188	25	methods	method	NOUN
ajst-32533	188	26	.	.	PUNCT
ajst-32533	189	1	the	the	DET
ajst-32533	189	2	qualitative	qualitative	ADJ
ajst-32533	189	3	analysis	analysis	NOUN
ajst-32533	189	4	reveals	reveal	VERB
ajst-32533	189	5	that	that	SCONJ
ajst-32533	189	6	the	the	DET
ajst-32533	189	7	fcn	fcn	NOUN
ajst-32533	189	8	model	model	NOUN
ajst-32533	189	9	produces	produce	VERB
ajst-32533	189	10	suboptimal	suboptimal	ADJ
ajst-32533	189	11	segmentation	segmentation	NOUN
ajst-32533	189	12	outcomes	outcome	NOUN
ajst-32533	189	13	,	,	PUNCT
ajst-32533	189	14	primarily	primarily	ADV
ajst-32533	189	15	because	because	SCONJ
ajst-32533	189	16	it	it	PRON
ajst-32533	189	17	fails	fail	VERB
ajst-32533	189	18	to	to	PART
ajst-32533	189	19	effectively	effectively	ADV
ajst-32533	189	20	integrate	integrate	VERB
ajst-32533	189	21	multi	multi	ADJ
ajst-32533	189	22	-	-	ADJ
ajst-32533	189	23	scale	scale	ADJ
ajst-32533	189	24	feature	feature	NOUN
ajst-32533	189	25	information	information	NOUN
ajst-32533	189	26	.	.	PUNCT
ajst-32533	190	1	consequently	consequently	ADV
ajst-32533	190	2	,	,	PUNCT
ajst-32533	190	3	this	this	DET
ajst-32533	190	4	architectural	architectural	ADJ
ajst-32533	190	5	limitation	limitation	NOUN
ajst-32533	190	6	restricts	restrict	VERB
ajst-32533	190	7	the	the	DET
ajst-32533	190	8	fcn	fcn	NOUN
ajst-32533	190	9	approach	approach	NOUN
ajst-32533	190	10	to	to	ADP
ajst-32533	190	11	merely	merely	ADV
ajst-32533	190	12	identifying	identify	VERB
ajst-32533	190	13	the	the	DET
ajst-32533	190	14	approximate	approximate	ADJ
ajst-32533	190	15	tumor	tumor	NOUN
ajst-32533	190	16	location	location	NOUN
ajst-32533	190	17	rather	rather	ADV
ajst-32533	190	18	than	than	ADP
ajst-32533	190	19	achieving	achieve	VERB
ajst-32533	190	20	precise	precise	ADJ
ajst-32533	190	21	boundary	boundary	ADJ
ajst-32533	190	22	delineation	delineation	NOUN
ajst-32533	190	23	.	.	PUNCT
ajst-32533	191	1	in	in	ADP
ajst-32533	191	2	terms	term	NOUN
ajst-32533	191	3	of	of	ADP
ajst-32533	191	4	segmentation	segmentation	NOUN
ajst-32533	191	5	performance	performance	NOUN
ajst-32533	191	6	,	,	PUNCT
ajst-32533	191	7	both	both	CCONJ
ajst-32533	191	8	u	u	NOUN
ajst-32533	191	9	-	-	NOUN
ajst-32533	191	10	net	net	ADJ
ajst-32533	191	11	and	and	CCONJ
ajst-32533	191	12	dense	dense	ADJ
ajst-32533	191	13	-	-	PUNCT
ajst-32533	191	14	unet	unet	NOUN
ajst-32533	191	15	generate	generate	VERB
ajst-32533	191	16	contour	contour	NOUN
ajst-32533	191	17	boundaries	boundary	NOUN
ajst-32533	191	18	for	for	ADP
ajst-32533	191	19	rectal	rectal	ADJ
ajst-32533	191	20	tumors	tumor	NOUN
ajst-32533	191	21	that	that	PRON
ajst-32533	191	22	are	be	AUX
ajst-32533	191	23	relatively	relatively	ADV
ajst-32533	191	24	well	well	ADV
ajst-32533	191	25	-	-	PUNCT
ajst-32533	191	26	defined	define	VERB
ajst-32533	191	27	.	.	PUNCT
ajst-32533	192	1	however	however	ADV
ajst-32533	192	2	,	,	PUNCT
ajst-32533	192	3	their	their	PRON
ajst-32533	192	4	outputs	output	NOUN
ajst-32533	192	5	are	be	AUX
ajst-32533	192	6	often	often	ADV
ajst-32533	192	7	marred	mar	VERB
ajst-32533	192	8	by	by	ADP
ajst-32533	192	9	scattered	scatter	VERB
ajst-32533	192	10	noise	noise	NOUN
ajst-32533	192	11	and	and	CCONJ
ajst-32533	192	12	a	a	DET
ajst-32533	192	13	lack	lack	NOUN
ajst-32533	192	14	of	of	ADP
ajst-32533	192	15	precision	precision	NOUN
ajst-32533	192	16	.	.	PUNCT
ajst-32533	193	1	when	when	SCONJ
ajst-32533	193	2	segmenting	segment	VERB
ajst-32533	193	3	large	large	ADJ
ajst-32533	193	4	tumor	tumor	NOUN
ajst-32533	193	5	regions	region	NOUN
ajst-32533	193	6	,	,	PUNCT
ajst-32533	193	7	fcn	fcn	NOUN
ajst-32533	193	8	and	and	CCONJ
ajst-32533	193	9	u	u	NOUN
ajst-32533	193	10	-	-	ADJ
ajst-32533	193	11	net	net	ADJ
ajst-32533	193	12	demonstrate	demonstrate	NOUN
ajst-32533	193	13	notably	notably	ADV
ajst-32533	193	14	lower	low	ADJ
ajst-32533	193	15	accuracy	accuracy	NOUN
ajst-32533	193	16	than	than	ADP
ajst-32533	193	17	the	the	DET
ajst-32533	193	18	other	other	ADJ
ajst-32533	193	19	two	two	NUM
ajst-32533	193	20	models	model	NOUN
ajst-32533	193	21	.	.	PUNCT
ajst-32533	194	1	for	for	ADP
ajst-32533	194	2	medium	medium	ADJ
ajst-32533	194	3	-	-	PUNCT
ajst-32533	194	4	sized	sized	ADJ
ajst-32533	194	5	tumors	tumor	NOUN
ajst-32533	194	6	,	,	PUNCT
ajst-32533	194	7	u	u	NOUN
ajst-32533	194	8	-	-	NOUN
ajst-32533	194	9	net	net	NOUN
ajst-32533	194	10	achieves	achieve	VERB
ajst-32533	194	11	better	well	ADJ
ajst-32533	194	12	results	result	NOUN
ajst-32533	194	13	than	than	ADP
ajst-32533	194	14	fcn	fcn	PROPN
ajst-32533	194	15	.	.	PUNCT
ajst-32533	195	1	the	the	DET
ajst-32533	195	2	most	most	ADV
ajst-32533	195	3	significant	significant	ADJ
ajst-32533	195	4	challenge	challenge	NOUN
ajst-32533	195	5	lies	lie	VERB
ajst-32533	195	6	in	in	ADP
ajst-32533	195	7	segmenting	segment	VERB
ajst-32533	195	8	small	small	ADJ
ajst-32533	195	9	tumors	tumor	NOUN
ajst-32533	195	10	,	,	PUNCT
ajst-32533	195	11	which	which	PRON
ajst-32533	195	12	typically	typically	ADV
ajst-32533	195	13	rely	rely	VERB
ajst-32533	195	14	solely	solely	ADV
ajst-32533	195	15	on	on	ADP
ajst-32533	195	16	subtle	subtle	ADJ
ajst-32533	195	17	grayscale	grayscale	NOUN
ajst-32533	195	18	features	feature	NOUN
ajst-32533	195	19	and	and	CCONJ
ajst-32533	195	20	possess	possess	VERB
ajst-32533	195	21	ambiguous	ambiguous	ADJ
ajst-32533	195	22	boundaries	boundary	NOUN
ajst-32533	195	23	.	.	PUNCT
ajst-32533	196	1	the	the	DET
ajst-32533	196	2	proposed	propose	VERB
ajst-32533	196	3	dra	dra	PROPN
ajst-32533	196	4	-	-	PUNCT
ajst-32533	196	5	unet	unet	NOUN
ajst-32533	196	6	model	model	NOUN
ajst-32533	196	7	in	in	ADP
ajst-32533	196	8	this	this	DET
ajst-32533	196	9	paper	paper	NOUN
ajst-32533	196	10	addresses	address	NOUN
ajst-32533	196	11	this	this	DET
ajst-32533	196	12	issue	issue	NOUN
ajst-32533	196	13	effectively	effectively	ADV
ajst-32533	196	14	,	,	PUNCT
ajst-32533	196	15	achieving	achieve	VERB
ajst-32533	196	16	superior	superior	ADJ
ajst-32533	196	17	accuracy	accuracy	NOUN
ajst-32533	196	18	for	for	ADP
ajst-32533	196	19	small	small	ADJ
ajst-32533	196	20	tumor	tumor	NOUN
ajst-32533	196	21	segmentation	segmentation	NOUN
ajst-32533	196	22	compared	compare	VERB
ajst-32533	196	23	to	to	ADP
ajst-32533	196	24	the	the	DET
ajst-32533	196	25	other	other	ADJ
ajst-32533	196	26	three	three	NUM
ajst-32533	196	27	networks	network	NOUN
ajst-32533	196	28	.	.	PUNCT
ajst-32533	197	1	experimental	experimental	ADJ
ajst-32533	197	2	results	result	NOUN
ajst-32533	197	3	confirm	confirm	VERB
ajst-32533	197	4	that	that	SCONJ
ajst-32533	197	5	dra	dra	PROPN
ajst-32533	197	6	-	-	PUNCT
ajst-32533	197	7	unet	unet	NOUN
ajst-32533	197	8	produces	produce	VERB
ajst-32533	197	9	segmentation	segmentation	NOUN
ajst-32533	197	10	maps	map	NOUN
ajst-32533	197	11	that	that	PRON
ajst-32533	197	12	closely	closely	ADV
ajst-32533	197	13	resemble	resemble	VERB
ajst-32533	197	14	the	the	DET
ajst-32533	197	15	ground	ground	NOUN
ajst-32533	197	16	truth	truth	NOUN
ajst-32533	197	17	annotations	annotation	NOUN
ajst-32533	197	18	.	.	PUNCT
ajst-32533	198	1	this	this	PRON
ajst-32533	198	2	demonstrates	demonstrate	VERB
ajst-32533	198	3	a	a	DET
ajst-32533	198	4	clear	clear	ADJ
ajst-32533	198	5	performance	performance	NOUN
ajst-32533	198	6	enhancement	enhancement	NOUN
ajst-32533	198	7	and	and	CCONJ
ajst-32533	198	8	confirms	confirm	VERB
ajst-32533	198	9	the	the	DET
ajst-32533	198	10	model	model	NOUN
ajst-32533	198	11	's	's	PART
ajst-32533	198	12	robust	robust	ADJ
ajst-32533	198	13	segmentation	segmentation	NOUN
ajst-32533	198	14	capability	capability	NOUN
ajst-32533	198	15	.	.	PUNCT
ajst-32533	199	1	4	4	X
ajst-32533	199	2	.	.	X
ajst-32533	199	3	summary	summary	VERB
ajst-32533	199	4	accurate	accurate	ADJ
ajst-32533	199	5	rectal	rectal	ADJ
ajst-32533	199	6	tumor	tumor	NOUN
ajst-32533	199	7	segmentation	segmentation	NOUN
ajst-32533	199	8	is	be	AUX
ajst-32533	199	9	crucial	crucial	ADJ
ajst-32533	199	10	.	.	PUNCT
ajst-32533	200	1	it	it	PRON
ajst-32533	200	2	enables	enable	VERB
ajst-32533	200	3	the	the	DET
ajst-32533	200	4	early	early	ADJ
ajst-32533	200	5	diagnosis	diagnosis	NOUN
ajst-32533	200	6	of	of	ADP
ajst-32533	200	7	colorectal	colorectal	ADJ
ajst-32533	200	8	cancer	cancer	NOUN
ajst-32533	200	9	.	.	PUNCT
ajst-32533	201	1	this	this	DET
ajst-32533	201	2	paper	paper	NOUN
ajst-32533	201	3	introduces	introduce	VERB
ajst-32533	201	4	an	an	DET
ajst-32533	201	5	improved	improved	ADJ
ajst-32533	201	6	u	u	ADJ
ajst-32533	201	7	-	-	ADJ
ajst-32533	201	8	net	net	ADJ
ajst-32533	201	9	model	model	NOUN
ajst-32533	201	10	for	for	ADP
ajst-32533	201	11	segmenting	segment	VERB
ajst-32533	201	12	rectal	rectal	ADJ
ajst-32533	201	13	tumors	tumor	NOUN
ajst-32533	201	14	in	in	ADP
ajst-32533	201	15	ct	ct	PROPN
ajst-32533	201	16	scans	scan	NOUN
ajst-32533	201	17	.	.	PUNCT
ajst-32533	202	1	current	current	ADJ
ajst-32533	202	2	methods	method	NOUN
ajst-32533	202	3	like	like	ADP
ajst-32533	202	4	fcn	fcn	PROPN
ajst-32533	202	5	and	and	CCONJ
ajst-32533	202	6	u	u	NOUN
ajst-32533	202	7	-	-	NOUN
ajst-32533	202	8	net	net	NOUN
ajst-32533	202	9	often	often	ADV
ajst-32533	202	10	face	face	VERB
ajst-32533	202	11	two	two	NUM
ajst-32533	202	12	main	main	ADJ
ajst-32533	202	13	problems	problem	NOUN
ajst-32533	202	14	.	.	PUNCT
ajst-32533	203	1	they	they	PRON
ajst-32533	203	2	can	can	AUX
ajst-32533	203	3	be	be	AUX
ajst-32533	203	4	computationally	computationally	ADV
ajst-32533	203	5	complex	complex	ADJ
ajst-32533	203	6	mask	mask	NOUN
ajst-32533	203	7	u	u	NOUN
ajst-32533	203	8	-	-	ADJ
ajst-32533	203	9	net	net	ADJ
ajst-32533	203	10	dra	dra	PROPN
ajst-32533	203	11	-	-	PUNCT
ajst-32533	203	12	unet	unet	NOUN
ajst-32533	203	13	dense	dense	ADJ
ajst-32533	203	14	-	-	PUNCT
ajst-32533	203	15	unet	unet	NOUN
ajst-32533	203	16	fcn	fcn	NOUN
ajst-32533	203	17	10	10	NUM
ajst-32533	203	18	and	and	CCONJ
ajst-32533	203	19	lack	lack	NOUN
ajst-32533	203	20	accuracy	accuracy	NOUN
ajst-32533	203	21	in	in	ADP
ajst-32533	203	22	medical	medical	ADJ
ajst-32533	203	23	images	image	NOUN
ajst-32533	203	24	.	.	PUNCT
ajst-32533	204	1	we	we	PRON
ajst-32533	204	2	made	make	VERB
ajst-32533	204	3	three	three	NUM
ajst-32533	204	4	key	key	ADJ
ajst-32533	204	5	improvements	improvement	NOUN
ajst-32533	204	6	to	to	ADP
ajst-32533	204	7	the	the	DET
ajst-32533	204	8	network	network	NOUN
ajst-32533	204	9	.	.	PUNCT
ajst-32533	205	1	first	first	ADV
ajst-32533	205	2	,	,	PUNCT
ajst-32533	205	3	we	we	PRON
ajst-32533	205	4	replaced	replace	VERB
ajst-32533	205	5	standard	standard	ADJ
ajst-32533	205	6	layers	layer	NOUN
ajst-32533	205	7	with	with	ADP
ajst-32533	205	8	a	a	DET
ajst-32533	205	9	deep	deep	ADJ
ajst-32533	205	10	residual	residual	ADJ
ajst-32533	205	11	module	module	NOUN
ajst-32533	205	12	.	.	PUNCT
ajst-32533	206	1	this	this	PRON
ajst-32533	206	2	helps	help	VERB
ajst-32533	206	3	information	information	NOUN
ajst-32533	206	4	flow	flow	VERB
ajst-32533	206	5	better	well	ADV
ajst-32533	206	6	during	during	ADP
ajst-32533	206	7	training	training	NOUN
ajst-32533	206	8	.	.	PUNCT
ajst-32533	207	1	second	second	ADV
ajst-32533	207	2	,	,	PUNCT
ajst-32533	207	3	we	we	PRON
ajst-32533	207	4	added	add	VERB
ajst-32533	207	5	an	an	DET
ajst-32533	207	6	attention	attention	NOUN
ajst-32533	207	7	mechanism	mechanism	NOUN
ajst-32533	207	8	to	to	ADP
ajst-32533	207	9	the	the	DET
ajst-32533	207	10	skip	skip	ADJ
ajst-32533	207	11	connections	connection	NOUN
ajst-32533	207	12	.	.	PUNCT
ajst-32533	208	1	this	this	PRON
ajst-32533	208	2	lets	let	VERB
ajst-32533	208	3	the	the	DET
ajst-32533	208	4	network	network	NOUN
ajst-32533	208	5	focus	focus	VERB
ajst-32533	208	6	on	on	ADP
ajst-32533	208	7	the	the	DET
ajst-32533	208	8	most	most	ADV
ajst-32533	208	9	important	important	ADJ
ajst-32533	208	10	features	feature	NOUN
ajst-32533	208	11	.	.	PUNCT
ajst-32533	209	1	third	third	ADV
ajst-32533	209	2	,	,	PUNCT
ajst-32533	209	3	we	we	PRON
ajst-32533	209	4	used	use	VERB
ajst-32533	209	5	the	the	DET
ajst-32533	209	6	dice	dice	NOUN
ajst-32533	209	7	loss	loss	NOUN
ajst-32533	209	8	function	function	NOUN
ajst-32533	209	9	.	.	PUNCT
ajst-32533	210	1	it	it	PRON
ajst-32533	210	2	solves	solve	VERB
ajst-32533	210	3	class	class	NOUN
ajst-32533	210	4	imbalance	imbalance	NOUN
ajst-32533	210	5	by	by	ADP
ajst-32533	210	6	focusing	focus	VERB
ajst-32533	210	7	on	on	ADP
ajst-32533	210	8	hard	hard	ADJ
ajst-32533	210	9	-	-	PUNCT
ajst-32533	210	10	to	to	ADP
ajst-32533	210	11	-	-	PUNCT
ajst-32533	210	12	outline	outline	NOUN
ajst-32533	210	13	areas	area	NOUN
ajst-32533	210	14	.	.	PUNCT
ajst-32533	211	1	our	our	PRON
ajst-32533	211	2	method	method	NOUN
ajst-32533	211	3	achieves	achieve	VERB
ajst-32533	211	4	high	high	ADJ
ajst-32533	211	5	accuracy	accuracy	NOUN
ajst-32533	211	6	for	for	ADP
ajst-32533	211	7	rectal	rectal	ADJ
ajst-32533	211	8	tumor	tumor	NOUN
ajst-32533	211	9	segmentation	segmentation	NOUN
ajst-32533	211	10	.	.	PUNCT
ajst-32533	212	1	the	the	DET
ajst-32533	212	2	final	final	ADJ
ajst-32533	212	3	accuracy	accuracy	NOUN
ajst-32533	212	4	reaches	reach	VERB
ajst-32533	212	5	91.38	91.38	NUM
ajst-32533	212	6	%	%	NOUN
ajst-32533	212	7	.	.	PUNCT
ajst-32533	213	1	this	this	DET
ajst-32533	213	2	result	result	NOUN
ajst-32533	213	3	is	be	AUX
ajst-32533	213	4	a	a	DET
ajst-32533	213	5	major	major	ADJ
ajst-32533	213	6	improvement	improvement	NOUN
ajst-32533	213	7	over	over	ADP
ajst-32533	213	8	older	old	ADJ
ajst-32533	213	9	models	model	NOUN
ajst-32533	213	10	.	.	PUNCT
ajst-32533	214	1	our	our	PRON
ajst-32533	214	2	model	model	NOUN
ajst-32533	214	3	is	be	AUX
ajst-32533	214	4	9.08	9.08	NUM
ajst-32533	214	5	%	%	NOUN
ajst-32533	214	6	more	more	ADV
ajst-32533	214	7	accurate	accurate	ADJ
ajst-32533	214	8	than	than	ADP
ajst-32533	214	9	fcn	fcn	PROPN
ajst-32533	214	10	.	.	PUNCT
ajst-32533	215	1	it	it	PRON
ajst-32533	215	2	also	also	ADV
ajst-32533	215	3	outperforms	outperform	VERB
ajst-32533	215	4	u	u	NOUN
ajst-32533	215	5	-	-	NOUN
ajst-32533	215	6	net	net	NOUN
ajst-32533	215	7	by	by	ADP
ajst-32533	215	8	6.61	6.61	NUM
ajst-32533	215	9	%	%	NOUN
ajst-32533	215	10	and	and	CCONJ
ajst-32533	215	11	dense	dense	ADJ
ajst-32533	215	12	-	-	PUNCT
ajst-32533	215	13	unet	unet	NOUN
ajst-32533	215	14	by	by	ADP
ajst-32533	215	15	4.73	4.73	NUM
ajst-32533	215	16	%	%	NOUN
ajst-32533	215	17	.	.	PUNCT
ajst-32533	216	1	these	these	DET
ajst-32533	216	2	results	result	NOUN
ajst-32533	216	3	prove	prove	VERB
ajst-32533	216	4	our	our	PRON
ajst-32533	216	5	approach	approach	NOUN
ajst-32533	216	6	works	work	VERB
ajst-32533	216	7	well	well	ADV
ajst-32533	216	8	.	.	PUNCT
ajst-32533	217	1	we	we	PRON
ajst-32533	217	2	show	show	VERB
ajst-32533	217	3	that	that	SCONJ
ajst-32533	217	4	our	our	PRON
ajst-32533	217	5	method	method	NOUN
ajst-32533	217	6	clearly	clearly	ADV
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ajst-32533	217	8	segmentation	segmentation	NOUN
ajst-32533	217	9	accuracy	accuracy	NOUN
ajst-32533	217	10	.	.	PUNCT
ajst-32533	218	1	in	in	ADP
ajst-32533	218	2	the	the	DET
ajst-32533	218	3	end	end	NOUN
ajst-32533	218	4	,	,	PUNCT
ajst-32533	218	5	our	our	PRON
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ajst-32533	218	10	.	.	PUNCT
ajst-32533	219	1	references	reference	NOUN
ajst-32533	219	2	[	[	X
ajst-32533	219	3	1	1	NUM
ajst-32533	219	4	]	]	PUNCT
ajst-32533	219	5	f.	f.	PROPN
ajst-32533	219	6	a.	a.	PROPN
ajst-32533	219	7	sinicrope	sinicrope	PROPN
ajst-32533	219	8	,	,	PUNCT
ajst-32533	219	9	"	"	PUNCT
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ajst-32533	219	17	cancer	cancer	NOUN
ajst-32533	219	18	,	,	PUNCT
ajst-32533	219	19	"	"	PUNCT
ajst-32533	219	20	new	new	PROPN
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ajst-32533	219	33	,	,	PUNCT
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ajst-32533	219	35	.	.	PUNCT
ajst-32533	220	1	1547	1547	NUM
ajst-32533	220	2	-	-	SYM
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ajst-32533	220	4	,	,	PUNCT
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ajst-32533	221	1	doi	doi	NOUN
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ajst-32533	222	1	[	[	X
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ajst-32533	222	3	/	/	SYM
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ajst-32533	222	7	https://	https://	PROPN
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ajst-32533	222	10	.	.	PUNCT
ajst-32533	223	1	1056/	1056/	NUM
ajst-32533	223	2	nejmra2200869	nejmra2200869	PROPN
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ajst-32533	224	2	2	2	NUM
ajst-32533	224	3	]	]	PUNCT
ajst-32533	224	4	r.	r.	PROPN
ajst-32533	224	5	l.	l.	PROPN
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ajst-32533	224	9	d.	d.	PROPN
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ajst-32533	224	15	,	,	PUNCT
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ajst-32533	224	27	:	:	PUNCT
ajst-32533	224	28	a	a	DET
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ajst-32533	224	31	for	for	ADP
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ajst-32533	224	43	.	.	PUNCT
ajst-32533	224	44	145	145	NUM
ajst-32533	224	45	-	-	SYM
ajst-32533	224	46	164	164	NUM
ajst-32533	224	47	,	,	PUNCT
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ajst-32533	224	49	.	.	PUNCT
ajst-32533	225	1	doi	doi	NOUN
ajst-32533	225	2	:	:	PUNCT
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ajst-32533	226	3	/	/	SYM
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ajst-32533	226	5	]	]	X
ajst-32533	226	6	(	(	PUNCT
ajst-32533	226	7	https://	https://	PROPN
ajst-32533	226	8	doi.org/	doi.org/	ADV
ajst-32533	226	9	10	10	NUM
ajst-32533	226	10	.	.	PUNCT
ajst-32533	227	1	3322/	3322/	NUM
ajst-32533	227	2	caac	caac	NOUN
ajst-32533	227	3	.	.	PUNCT
ajst-32533	228	1	21601	21601	NUM
ajst-32533	228	2	)	)	PUNCT
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ajst-32533	229	1	[	[	X
ajst-32533	229	2	3	3	X
ajst-32533	229	3	]	]	X
ajst-32533	229	4	f.	f.	PROPN
ajst-32533	229	5	t.	t.	PROPN
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ajst-32533	229	8	"	"	PUNCT
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ajst-32533	229	15	,	,	PUNCT
ajst-32533	229	16	"	"	PUNCT
ajst-32533	229	17	visceral	visceral	ADJ
ajst-32533	229	18	medicine	medicine	NOUN
ajst-32533	229	19	,	,	PUNCT
ajst-32533	229	20	vol	vol	NOUN
ajst-32533	229	21	.	.	PROPN
ajst-32533	229	22	32	32	NUM
ajst-32533	229	23	,	,	PUNCT
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ajst-32533	229	26	3	3	NUM
ajst-32533	229	27	,	,	PUNCT
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ajst-32533	229	29	.	.	PUNCT
ajst-32533	230	1	158	158	NUM
ajst-32533	230	2	-	-	SYM
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ajst-32533	230	4	,	,	PUNCT
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ajst-32533	230	6	.	.	PUNCT
ajst-32533	231	1	doi	doi	NOUN
ajst-32533	231	2	:	:	PUNCT
ajst-32533	232	1	[	[	X
ajst-32533	232	2	10.1159/000446488](https://doi.org/10.1159/000446488	10.1159/000446488](https://doi.org/10.1159/000446488	NUM
ajst-32533	232	3	)	)	PUNCT
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ajst-32533	233	1	[	[	X
ajst-32533	233	2	4	4	X
ajst-32533	233	3	]	]	PUNCT
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ajst-32533	234	8	,	,	PUNCT
ajst-32533	234	9	"	"	PUNCT
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ajst-32533	234	11	and	and	CCONJ
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ajst-32533	234	23	-	-	PUNCT
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ajst-32533	234	27	in	in	ADP
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ajst-32533	234	30	"	"	PUNCT
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ajst-32533	235	9	,	,	PUNCT
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ajst-32533	236	1	doi	doi	NOUN
ajst-32533	236	2	:	:	PUNCT
ajst-32533	237	1	[	[	X
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ajst-32533	237	5	-	-	PUNCT
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ajst-32533	237	7	-	-	PUNCT
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ajst-32533	237	9	-	-	PUNCT
ajst-32533	237	10	8](https://doi.org/10.1186	8](https://doi.org/10.1186	ADJ
ajst-32533	237	11	/	/	SYM
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ajst-32533	237	13	-	-	PUNCT
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ajst-32533	237	15	-	-	PUNCT
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ajst-32533	237	17	-	-	PUNCT
ajst-32533	237	18	8)	8)	NUM
ajst-32533	237	19	.	.	PUNCT
ajst-32533	238	1	[	[	X
ajst-32533	238	2	5	5	NUM
ajst-32533	238	3	]	]	X
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ajst-32533	238	53	.	.	PUNCT
ajst-32533	239	1	doi	doi	NOUN
ajst-32533	239	2	:	:	PUNCT
ajst-32533	240	1	[	[	X
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ajst-32533	240	4	nejmoa2208375	nejmoa2208375	PROPN
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ajst-32533	240	9	.	.	PUNCT
ajst-32533	241	1	[	[	X
ajst-32533	241	2	6	6	NUM
ajst-32533	241	3	]	]	X
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ajst-32533	241	42	.	.	PUNCT
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ajst-32533	241	44	-	-	SYM
ajst-32533	241	45	2324	2324	NUM
ajst-32533	241	46	,	,	PUNCT
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ajst-32533	241	48	.	.	PUNCT
ajst-32533	242	1	doi	doi	NOUN
ajst-32533	242	2	:	:	PUNCT
ajst-32533	243	1	[	[	X
ajst-32533	243	2	10.1109/5	10.1109/5	X
ajst-32533	243	3	.	.	PUNCT
ajst-32533	243	4	726791	726791	NUM
ajst-32533	243	5	]	]	PUNCT
ajst-32533	243	6	(	(	PUNCT
ajst-32533	243	7	https://	https://	PROPN
ajst-32533	243	8	doi	doi	PROPN
ajst-32533	243	9	.	.	PUNCT
ajst-32533	244	1	org/	org/	NOUN
ajst-32533	244	2	10.1109/5.726791	10.1109/5.726791	NUM
ajst-32533	244	3	)	)	PUNCT
ajst-32533	244	4	.	.	PUNCT
ajst-32533	245	1	[	[	X
ajst-32533	245	2	7	7	X
ajst-32533	245	3	]	]	PUNCT
ajst-32533	245	4	k.	k.	PROPN
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ajst-32533	245	6	,	,	PUNCT
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ajst-32533	245	9	,	,	PUNCT
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ajst-32533	245	11	s.	s.	PROPN
ajst-32533	245	12	mehrkanoon	mehrkanoon	PROPN
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ajst-32533	245	14	"	"	PUNCT
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ajst-32533	245	16	-	-	PUNCT
ajst-32533	245	17	unet	unet	NOUN
ajst-32533	245	18	:	:	PUNCT
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ajst-32533	245	20	nowcasting	nowcasting	NOUN
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ajst-32533	245	28	,	,	PUNCT
ajst-32533	245	29	"	"	PUNCT
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ajst-32533	245	33	,	,	PUNCT
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ajst-32533	245	35	.	.	PROPN
ajst-32533	245	36	145	145	NUM
ajst-32533	245	37	,	,	PUNCT
ajst-32533	245	38	pp	pp	ADJ
ajst-32533	245	39	.	.	PUNCT
ajst-32533	245	40	178	178	NUM
ajst-32533	245	41	-	-	SYM
ajst-32533	245	42	186	186	NUM
ajst-32533	245	43	,	,	PUNCT
ajst-32533	245	44	2021	2021	NUM
ajst-32533	245	45	.	.	PUNCT
ajst-32533	246	1	doi	doi	NOUN
ajst-32533	246	2	:	:	PUNCT
ajst-32533	247	1	[	[	X
ajst-32533	247	2	10	10	NUM
ajst-32533	247	3	.	.	X
ajst-32533	247	4	1016/	1016/	NUM
ajst-32533	247	5	j.	j.	PROPN
ajst-32533	247	6	patrec	patrec	PROPN
ajst-32533	247	7	.	.	PUNCT
ajst-32533	248	1	2021.01.027	2021.01.027	ADV
ajst-32533	248	2	]	]	PUNCT
ajst-32533	248	3	(	(	PUNCT
ajst-32533	248	4	https://doi.org/10.1016/j.patrec.2021.01.027	https://doi.org/10.1016/j.patrec.2021.01.027	NOUN
ajst-32533	248	5	)	)	PUNCT
ajst-32533	248	6	.	.	PUNCT
ajst-32533	249	1	[	[	X
ajst-32533	249	2	8	8	NUM
ajst-32533	249	3	]	]	X
ajst-32533	249	4	m.	m.	NOUN
ajst-32533	249	5	m.	m.	NOUN
ajst-32533	249	6	van	van	PROPN
ajst-32533	249	7	heeswijk	heeswijk	PROPN
ajst-32533	249	8	,	,	PUNCT
ajst-32533	249	9	d.	d.	PROPN
ajst-32533	249	10	m.	m.	PROPN
ajst-32533	249	11	j.	j.	PROPN
ajst-32533	249	12	lambregts	lambregts	PROPN
ajst-32533	249	13	,	,	PUNCT
ajst-32533	249	14	j.	j.	PROPN
ajst-32533	249	15	j.	j.	PROPN
ajst-32533	249	16	m.	m.	PROPN
ajst-32533	249	17	van	van	PROPN
ajst-32533	249	18	griethuysen	griethuysen	PROPN
ajst-32533	249	19	,	,	PUNCT
ajst-32533	249	20	et	et	PROPN
ajst-32533	249	21	al	al	PROPN
ajst-32533	249	22	.	.	PROPN
ajst-32533	249	23	,	,	PUNCT
ajst-32533	249	24	"	"	PUNCT
ajst-32533	249	25	automated	automate	VERB
ajst-32533	249	26	and	and	CCONJ
ajst-32533	249	27	semiautomated	semiautomated	ADJ
ajst-32533	249	28	segmentation	segmentation	NOUN
ajst-32533	249	29	of	of	ADP
ajst-32533	249	30	rectal	rectal	ADJ
ajst-32533	249	31	tumor	tumor	NOUN
ajst-32533	249	32	volumes	volume	NOUN
ajst-32533	249	33	on	on	ADP
ajst-32533	249	34	diffusion	diffusion	NOUN
ajst-32533	249	35	-	-	PUNCT
ajst-32533	249	36	weighted	weight	VERB
ajst-32533	249	37	mri	mri	NOUN
ajst-32533	249	38	:	:	PUNCT
ajst-32533	249	39	can	can	AUX
ajst-32533	249	40	it	it	PRON
ajst-32533	249	41	replace	replace	VERB
ajst-32533	249	42	manual	manual	ADJ
ajst-32533	249	43	volumetry	volumetry	NOUN
ajst-32533	249	44	?	?	PUNCT
ajst-32533	249	45	"	"	PUNCT
ajst-32533	249	46	international	international	ADJ
ajst-32533	249	47	journal	journal	NOUN
ajst-32533	249	48	of	of	ADP
ajst-32533	249	49	radiation	radiation	NOUN
ajst-32533	249	50	oncology	oncology	NOUN
ajst-32533	249	51	biology	biology	NOUN
ajst-32533	249	52	physics	physics	NOUN
ajst-32533	249	53	,	,	PUNCT
ajst-32533	249	54	vol	vol	NOUN
ajst-32533	249	55	.	.	PROPN
ajst-32533	249	56	94	94	NUM
ajst-32533	249	57	,	,	PUNCT
ajst-32533	249	58	no	no	INTJ
ajst-32533	249	59	.	.	NOUN
ajst-32533	249	60	4	4	NUM
ajst-32533	249	61	,	,	PUNCT
ajst-32533	249	62	pp	pp	ADJ
ajst-32533	249	63	.	.	PUNCT
ajst-32533	249	64	824	824	NUM
ajst-32533	249	65	-	-	SYM
ajst-32533	249	66	831	831	NUM
ajst-32533	249	67	,	,	PUNCT
ajst-32533	249	68	2016	2016	NUM
ajst-32533	249	69	.	.	PUNCT
ajst-32533	250	1	doi	doi	NOUN
ajst-32533	250	2	:	:	PUNCT
ajst-32533	251	1	[	[	X
ajst-32533	251	2	10	10	NUM
ajst-32533	251	3	.	.	PUNCT
ajst-32533	252	1	1016	1016	NUM
ajst-32533	252	2	/	/	SYM
ajst-32533	252	3	j.ijrobp.2015.12.017](https://doi.org/10.1016	j.ijrobp.2015.12.017](https://doi.org/10.1016	PROPN
ajst-32533	252	4	/	/	SYM
ajst-32533	252	5	j.ijrobp.2015.12.017	j.ijrobp.2015.12.017	PROPN
ajst-32533	252	6	)	)	PUNCT
ajst-32533	252	7	.	.	PUNCT
ajst-32533	253	1	[	[	X
ajst-32533	253	2	9	9	NUM
ajst-32533	253	3	]	]	PUNCT
ajst-32533	253	4	m.	m.	NOUN
ajst-32533	253	5	h.	h.	PROPN
ajst-32533	253	6	soomro	soomro	PROPN
ajst-32533	253	7	,	,	PUNCT
ajst-32533	253	8	g.	g.	PROPN
ajst-32533	253	9	giunta	giunta	PROPN
ajst-32533	253	10	,	,	PUNCT
ajst-32533	253	11	a.	a.	PROPN
ajst-32533	253	12	laghi	laghi	PROPN
ajst-32533	253	13	,	,	PUNCT
ajst-32533	253	14	et	et	PROPN
ajst-32533	253	15	al	al	PROPN
ajst-32533	253	16	.	.	PROPN
ajst-32533	253	17	,	,	PUNCT
ajst-32533	253	18	"	"	PUNCT
ajst-32533	253	19	segmenting	segment	VERB
ajst-32533	253	20	mr	mr	PROPN
ajst-32533	253	21	images	image	NOUN
ajst-32533	253	22	by	by	ADP
ajst-32533	253	23	level	level	NOUN
ajst-32533	253	24	-	-	PUNCT
ajst-32533	253	25	set	set	VERB
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ajst-32533	253	27	for	for	ADP
ajst-32533	253	28	perspective	perspective	ADJ
ajst-32533	253	29	colorectal	colorectal	ADJ
ajst-32533	253	30	cancer	cancer	NOUN
ajst-32533	253	31	diagnosis	diagnosis	NOUN
ajst-32533	253	32	,	,	PUNCT
ajst-32533	253	33	"	"	PUNCT
ajst-32533	253	34	in	in	ADP
ajst-32533	253	35	proceedings	proceeding	NOUN
ajst-32533	253	36	of	of	ADP
ajst-32533	253	37	the	the	DET
ajst-32533	253	38	2017	2017	NUM
ajst-32533	253	39	european	european	ADJ
ajst-32533	253	40	congress	congress	PROPN
ajst-32533	253	41	on	on	ADP
ajst-32533	253	42	computational	computational	ADJ
ajst-32533	253	43	methods	method	NOUN
ajst-32533	253	44	in	in	ADP
ajst-32533	253	45	applied	applied	ADJ
ajst-32533	253	46	sciences	science	NOUN
ajst-32533	253	47	and	and	CCONJ
ajst-32533	253	48	engineering	engineering	NOUN
ajst-32533	253	49	,	,	PUNCT
ajst-32533	253	50	2017	2017	NUM
ajst-32533	253	51	,	,	PUNCT
ajst-32533	253	52	pp	pp	ADJ
ajst-32533	253	53	.	.	PUNCT
ajst-32533	254	1	396	396	NUM
ajst-32533	254	2	-	-	SYM
ajst-32533	254	3	406	406	NUM
ajst-32533	254	4	.	.	PUNCT
ajst-32533	255	1	doi	doi	NOUN
ajst-32533	255	2	:	:	PUNCT
ajst-32533	256	1	[	[	X
ajst-32533	256	2	10.1016	10.1016	NUM
ajst-32533	256	3	/	/	SYM
ajst-32533	256	4	j.	j.	PROPN
ajst-32533	256	5	phro	phro	PROPN
ajst-32533	256	6	.	.	PUNCT
ajst-32533	257	1	2022	2022	NUM
ajst-32533	257	2	.	.	PUNCT
ajst-32533	258	1	05.001	05.001	NUM
ajst-32533	258	2	]	]	X
ajst-32533	258	3	(	(	PUNCT
ajst-32533	258	4	https://doi.org/10.1016/j.phro.2022.05.001	https://doi.org/10.1016/j.phro.2022.05.001	NUM
ajst-32533	258	5	)	)	PUNCT
ajst-32533	258	6	.	.	PUNCT
ajst-32533	259	1	[	[	X
ajst-32533	259	2	10	10	NUM
ajst-32533	259	3	]	]	X
ajst-32533	259	4	z.	z.	PROPN
ajst-32533	259	5	ran	run	VERB
ajst-32533	259	6	,	,	PUNCT
ajst-32533	259	7	j.	j.	PROPN
ajst-32533	259	8	m.	m.	PROPN
ajst-32533	259	9	jian	jian	PROPN
ajst-32533	259	10	,	,	PUNCT
ajst-32533	259	11	m.	m.	PROPN
ajst-32533	259	12	m.	m.	PROPN
ajst-32533	259	13	wang	wang	PROPN
ajst-32533	259	14	,	,	PUNCT
ajst-32533	259	15	et	et	PROPN
ajst-32533	259	16	al	al	PROPN
ajst-32533	259	17	.	.	PROPN
ajst-32533	259	18	,	,	PUNCT
ajst-32533	259	19	"	"	PUNCT
ajst-32533	259	20	automatic	automatic	ADJ
ajst-32533	259	21	segmentation	segmentation	NOUN
ajst-32533	259	22	method	method	NOUN
ajst-32533	259	23	based	base	VERB
ajst-32533	259	24	on	on	ADP
ajst-32533	259	25	full	full	ADJ
ajst-32533	259	26	convolution	convolution	NOUN
ajst-32533	259	27	neural	neural	ADJ
ajst-32533	259	28	network	network	NOUN
ajst-32533	259	29	for	for	ADP
ajst-32533	259	30	rectal	rectal	ADJ
ajst-32533	259	31	cancer	cancer	NOUN
ajst-32533	259	32	tumors	tumor	NOUN
ajst-32533	259	33	in	in	ADP
ajst-32533	259	34	magnetic	magnetic	ADJ
ajst-32533	259	35	resonance	resonance	NOUN
ajst-32533	259	36	image	image	NOUN
ajst-32533	259	37	,	,	PUNCT
ajst-32533	259	38	"	"	PUNCT
ajst-32533	259	39	beijing	beijing	PROPN
ajst-32533	259	40	biomedical	biomedical	PROPN
ajst-32533	259	41	engineering	engineering	NOUN
ajst-32533	259	42	,	,	PUNCT
ajst-32533	259	43	vol	vol	NOUN
ajst-32533	259	44	.	.	PROPN
ajst-32533	260	1	38	38	NUM
ajst-32533	260	2	,	,	PUNCT
ajst-32533	260	3	no	no	INTJ
ajst-32533	260	4	.	.	NOUN
ajst-32533	260	5	5	5	NUM
ajst-32533	260	6	,	,	PUNCT
ajst-32533	260	7	pp	pp	ADJ
ajst-32533	260	8	.	.	PUNCT
ajst-32533	261	1	465	465	NUM
ajst-32533	261	2	-	-	SYM
ajst-32533	261	3	471	471	NUM
ajst-32533	261	4	,	,	PUNCT
ajst-32533	261	5	2019	2019	NUM
ajst-32533	261	6	.	.	PUNCT
ajst-32533	262	1	[	[	X
ajst-32533	262	2	11	11	NUM
ajst-32533	262	3	]	]	X
ajst-32533	262	4	o.	o.	NOUN
ajst-32533	262	5	ronneberger	ronneberger	NOUN
ajst-32533	262	6	,	,	PUNCT
ajst-32533	262	7	p.	p.	NOUN
ajst-32533	262	8	fischer	fischer	PROPN
ajst-32533	262	9	,	,	PUNCT
ajst-32533	262	10	and	and	CCONJ
ajst-32533	262	11	t.	t.	PROPN
ajst-32533	262	12	brox	brox	PROPN
ajst-32533	262	13	,	,	PUNCT
ajst-32533	262	14	"	"	PUNCT
ajst-32533	262	15	u	u	NOUN
ajst-32533	262	16	-	-	NOUN
ajst-32533	262	17	net	net	ADJ
ajst-32533	262	18	:	:	PUNCT
ajst-32533	262	19	convolutional	convolutional	ADJ
ajst-32533	262	20	networks	network	NOUN
ajst-32533	262	21	for	for	ADP
ajst-32533	262	22	biomedical	biomedical	ADJ
ajst-32533	262	23	image	image	NOUN
ajst-32533	262	24	segmentation	segmentation	NOUN
ajst-32533	262	25	,	,	PUNCT
ajst-32533	262	26	"	"	PUNCT
ajst-32533	262	27	in	in	ADP
ajst-32533	262	28	proceedings	proceeding	NOUN
ajst-32533	262	29	of	of	ADP
ajst-32533	262	30	the	the	DET
ajst-32533	262	31	international	international	ADJ
ajst-32533	262	32	conference	conference	NOUN
ajst-32533	262	33	on	on	ADP
ajst-32533	262	34	medical	medical	ADJ
ajst-32533	262	35	image	image	NOUN
ajst-32533	262	36	computing	computing	NOUN
ajst-32533	262	37	and	and	CCONJ
ajst-32533	262	38	computer	computer	NOUN
ajst-32533	262	39	-	-	PUNCT
ajst-32533	262	40	assisted	assist	VERB
ajst-32533	262	41	intervention	intervention	NOUN
ajst-32533	262	42	,	,	PUNCT
ajst-32533	262	43	2015	2015	NUM
ajst-32533	262	44	,	,	PUNCT
ajst-32533	262	45	pp	pp	ADJ
ajst-32533	262	46	.	.	PUNCT
ajst-32533	263	1	234	234	NUM
ajst-32533	263	2	-	-	SYM
ajst-32533	263	3	241	241	NUM
ajst-32533	263	4	.	.	PUNCT
ajst-32533	264	1	doi	doi	NOUN
ajst-32533	264	2	:	:	PUNCT
ajst-32533	265	1	[	[	X
ajst-32533	265	2	10.1007/978	10.1007/978	NUM
ajst-32533	265	3	-	-	SYM
ajst-32533	265	4	3	3	NUM
ajst-32533	265	5	-	-	NUM
ajst-32533	265	6	319	319	NUM
ajst-32533	265	7	-	-	PUNCT
ajst-32533	265	8	24574	24574	NUM
ajst-32533	265	9	-	-	SYM
ajst-32533	265	10	4_28](https	4_28](https	NUM
ajst-32533	265	11	:	:	PUNCT
ajst-32533	265	12	//doi	//doi	PROPN
ajst-32533	265	13	.	.	PUNCT
ajst-32533	266	1	org/	org/	PRON
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ajst-32533	266	3	-	-	SYM
ajst-32533	266	4	3	3	NUM
ajst-32533	266	5	-	-	NUM
ajst-32533	266	6	319	319	NUM
ajst-32533	266	7	-	-	PUNCT
ajst-32533	266	8	24574	24574	NUM
ajst-32533	266	9	-	-	SYM
ajst-32533	266	10	4_28	4_28	NUM
ajst-32533	266	11	)	)	PUNCT
ajst-32533	266	12	.	.	PUNCT
ajst-32533	267	1	[	[	X
ajst-32533	267	2	12	12	NUM
ajst-32533	267	3	]	]	PUNCT
ajst-32533	267	4	j.	j.	PROPN
ajst-32533	267	5	wang	wang	PROPN
ajst-32533	267	6	,	,	PUNCT
ajst-32533	267	7	j.	j.	PROPN
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ajst-32533	267	9	,	,	PUNCT
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ajst-32533	267	12	,	,	PUNCT
ajst-32533	267	13	et	et	PROPN
ajst-32533	267	14	al	al	PROPN
ajst-32533	267	15	.	.	PROPN
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ajst-32533	267	17	"	"	PUNCT
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ajst-32533	267	19	note	note	NOUN
ajst-32533	267	20	:	:	PUNCT
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ajst-32533	267	24	-	-	PUNCT
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ajst-32533	267	33	images	image	NOUN
ajst-32533	267	34	,	,	PUNCT
ajst-32533	267	35	"	"	PUNCT
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ajst-32533	267	37	physics	physics	NOUN
ajst-32533	267	38	,	,	PUNCT
ajst-32533	267	39	vol	vol	NOUN
ajst-32533	267	40	.	.	PROPN
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ajst-32533	267	42	,	,	PUNCT
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ajst-32533	267	45	5	5	NUM
ajst-32533	267	46	,	,	PUNCT
ajst-32533	267	47	pp	pp	ADJ
ajst-32533	267	48	.	.	PUNCT
ajst-32533	267	49	2560	2560	NUM
ajst-32533	267	50	-	-	SYM
ajst-32533	267	51	2564	2564	NUM
ajst-32533	267	52	,	,	PUNCT
ajst-32533	267	53	2018	2018	NUM
ajst-32533	267	54	.	.	PUNCT
ajst-32533	268	1	doi	doi	NOUN
ajst-32533	268	2	:	:	PUNCT
ajst-32533	269	1	[	[	X
ajst-32533	269	2	10.1002/	10.1002/	NUM
ajst-32533	269	3	mp	mp	NOUN
ajst-32533	269	4	.	.	PROPN
ajst-32533	269	5	12887	12887	NUM
ajst-32533	269	6	]	]	PUNCT
ajst-32533	269	7	(	(	PUNCT
ajst-32533	269	8	https	https	NOUN
ajst-32533	269	9	:	:	PUNCT
ajst-32533	269	10	//doi	//doi	PROPN
ajst-32533	269	11	.	.	PUNCT
ajst-32533	270	1	org/10.1002	org/10.1002	PROPN
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ajst-32533	270	4	)	)	PUNCT
ajst-32533	270	5	.	.	PUNCT
ajst-32533	271	1	11	11	NUM
ajst-32533	272	1	[	[	SYM
ajst-32533	272	2	13	13	NUM
ajst-32533	272	3	]	]	X
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ajst-32533	272	7	j.	j.	PROPN
ajst-32533	272	8	schlemper	schlemper	PROPN
ajst-32533	272	9	,	,	PUNCT
ajst-32533	272	10	l.	l.	PROPN
ajst-32533	272	11	l.	l.	PROPN
ajst-32533	272	12	folgoc	folgoc	PROPN
ajst-32533	272	13	,	,	PUNCT
ajst-32533	272	14	et	et	PROPN
ajst-32533	272	15	al	al	PROPN
ajst-32533	272	16	.	.	PROPN
ajst-32533	272	17	,	,	PUNCT
ajst-32533	272	18	"	"	PUNCT
ajst-32533	272	19	attention	attention	NOUN
ajst-32533	272	20	u	u	NOUN
ajst-32533	272	21	-	-	NOUN
ajst-32533	272	22	net	net	ADJ
ajst-32533	272	23	:	:	PUNCT
ajst-32533	272	24	learning	learn	VERB
ajst-32533	272	25	where	where	SCONJ
ajst-32533	272	26	to	to	PART
ajst-32533	272	27	look	look	VERB
ajst-32533	272	28	for	for	ADP
ajst-32533	272	29	the	the	DET
ajst-32533	272	30	pancreas	pancrea	NOUN
ajst-32533	272	31	,	,	PUNCT
ajst-32533	272	32	"	"	PUNCT
ajst-32533	272	33	arxiv	arxiv	PROPN
ajst-32533	272	34	preprint	preprint	NOUN
ajst-32533	272	35	arxiv:1804.03999	arxiv:1804.03999	NOUN
ajst-32533	272	36	,	,	PUNCT
ajst-32533	272	37	2018	2018	NUM
ajst-32533	272	38	.	.	PUNCT
ajst-32533	273	1	[	[	X
ajst-32533	273	2	online	online	X
ajst-32533	273	3	]	]	X
ajst-32533	273	4	.	.	PUNCT
ajst-32533	274	1	available	available	ADJ
ajst-32533	274	2	:	:	PUNCT
ajst-32533	275	1	[	[	X
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ajst-32533	275	3	abs/1804	abs/1804	NOUN
ajst-32533	275	4	.	.	PUNCT
ajst-32533	275	5	03999	03999	NUM
ajst-32533	275	6	]	]	PUNCT
ajst-32533	275	7	(	(	PUNCT
ajst-32533	275	8	https	https	NOUN
ajst-32533	275	9	:	:	PUNCT
ajst-32533	275	10	//	//	NUM
ajst-32533	275	11	arxiv.org/abs/1804.03999	arxiv.org/abs/1804.03999	NOUN
ajst-32533	275	12	)	)	PUNCT
ajst-32533	275	13	.	.	PUNCT
ajst-32533	276	1	[	[	X
ajst-32533	276	2	14	14	NUM
ajst-32533	276	3	]	]	PUNCT
ajst-32533	276	4	k.	k.	NOUN
ajst-32533	277	1	he	he	PROPN
ajst-32533	277	2	,	,	PUNCT
ajst-32533	277	3	x.	x.	PROPN
ajst-32533	277	4	zhang	zhang	PROPN
ajst-32533	277	5	,	,	PUNCT
ajst-32533	277	6	s.	s.	PROPN
ajst-32533	277	7	ren	ren	PROPN
ajst-32533	277	8	,	,	PUNCT
ajst-32533	277	9	et	et	PROPN
ajst-32533	277	10	al	al	PROPN
ajst-32533	277	11	.	.	PROPN
ajst-32533	277	12	,	,	PUNCT
ajst-32533	277	13	"	"	PUNCT
ajst-32533	277	14	deep	deep	ADJ
ajst-32533	277	15	residual	residual	ADJ
ajst-32533	277	16	learning	learning	NOUN
ajst-32533	277	17	for	for	ADP
ajst-32533	277	18	image	image	NOUN
ajst-32533	277	19	recognition	recognition	NOUN
ajst-32533	277	20	,	,	PUNCT
ajst-32533	277	21	"	"	PUNCT
ajst-32533	277	22	in	in	ADP
ajst-32533	277	23	proceedings	proceeding	NOUN
ajst-32533	277	24	of	of	ADP
ajst-32533	277	25	the	the	DET
ajst-32533	277	26	ieee	ieee	NOUN
ajst-32533	277	27	conference	conference	NOUN
ajst-32533	277	28	on	on	ADP
ajst-32533	277	29	computer	computer	NOUN
ajst-32533	277	30	vision	vision	NOUN
ajst-32533	277	31	and	and	CCONJ
ajst-32533	277	32	pattern	pattern	NOUN
ajst-32533	277	33	recognition	recognition	NOUN
ajst-32533	277	34	,	,	PUNCT
ajst-32533	277	35	2016	2016	NUM
ajst-32533	277	36	,	,	PUNCT
ajst-32533	277	37	pp	pp	ADJ
ajst-32533	277	38	.	.	PUNCT
ajst-32533	278	1	770	770	NUM
ajst-32533	278	2	-	-	SYM
ajst-32533	278	3	778	778	NUM
ajst-32533	278	4	.	.	PUNCT
ajst-32533	279	1	doi	doi	NOUN
ajst-32533	279	2	:	:	PUNCT
ajst-32533	280	1	[	[	X
ajst-32533	280	2	10.1109/	10.1109/	NUM
ajst-32533	280	3	cvpr	cvpr	NOUN
ajst-32533	280	4	.	.	PUNCT
ajst-32533	281	1	2016	2016	NUM
ajst-32533	281	2	.	.	PUNCT
ajst-32533	282	1	90	90	NUM
ajst-32533	282	2	]	]	PUNCT
ajst-32533	282	3	(	(	PUNCT
ajst-32533	282	4	https://doi.org/10.1109/cvpr.2016.90	https://doi.org/10.1109/cvpr.2016.90	PROPN
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ajst-32533	282	6	.	.	PUNCT
ajst-32533	283	1	[	[	X
ajst-32533	283	2	15	15	NUM
ajst-32533	283	3	]	]	PUNCT
ajst-32533	283	4	a.	a.	NOUN
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ajst-32533	283	6	,	,	PUNCT
ajst-32533	283	7	c.	c.	PROPN
ajst-32533	283	8	hegde	hegde	PROPN
ajst-32533	283	9	,	,	PUNCT
ajst-32533	283	10	j.	j.	PROPN
ajst-32533	283	11	huang	huang	PROPN
ajst-32533	283	12	,	,	PUNCT
ajst-32533	283	13	et	et	PROPN
ajst-32533	283	14	al	al	PROPN
ajst-32533	283	15	.	.	PROPN
ajst-32533	283	16	,	,	PUNCT
ajst-32533	283	17	"	"	PUNCT
ajst-32533	283	18	darts	dart	NOUN
ajst-32533	283	19	:	:	PUNCT
ajst-32533	283	20	denseunet	denseunet	NOUN
ajst-32533	283	21	-	-	PUNCT
ajst-32533	283	22	based	base	VERB
ajst-32533	283	23	automatic	automatic	ADJ
ajst-32533	283	24	rapid	rapid	ADJ
ajst-32533	283	25	tool	tool	NOUN
ajst-32533	283	26	for	for	ADP
ajst-32533	283	27	brain	brain	NOUN
ajst-32533	283	28	segmentation	segmentation	NOUN
ajst-32533	283	29	,	,	PUNCT
ajst-32533	283	30	"	"	PUNCT
ajst-32533	283	31	2019	2019	NUM
ajst-32533	283	32	.	.	PUNCT
ajst-32533	284	1	[	[	X
ajst-32533	284	2	online	online	X
ajst-32533	284	3	]	]	X
ajst-32533	284	4	.	.	PUNCT
ajst-32533	285	1	available	available	ADJ
ajst-32533	285	2	:	:	PUNCT
ajst-32533	286	1	https://arxiv.org/abs/1911.05567	https://arxiv.org/abs/1911.05567	ADJ
ajst-32533	286	2	.	.	PUNCT