id	sid	tid	token	lemma	pos
ajst-21777	1	1	academic	academic	ADJ
ajst-21777	1	2	journal	journal	NOUN
ajst-21777	1	3	of	of	ADP
ajst-21777	1	4	science	science	NOUN
ajst-21777	1	5	and	and	CCONJ
ajst-21777	1	6	technology	technology	NOUN
ajst-21777	1	7	issn	issn	NOUN
ajst-21777	1	8	:	:	PUNCT
ajst-21777	1	9	2771	2771	NUM
ajst-21777	1	10	-	-	SYM
ajst-21777	1	11	3032	3032	NUM
ajst-21777	1	12	|	|	NOUN
ajst-21777	1	13	vol	vol	NOUN
ajst-21777	1	14	.	.	PROPN
ajst-21777	2	1	11	11	NUM
ajst-21777	2	2	,	,	PUNCT
ajst-21777	2	3	no	no	INTJ
ajst-21777	2	4	.	.	NOUN
ajst-21777	2	5	1	1	NUM
ajst-21777	2	6	,	,	PUNCT
ajst-21777	2	7	2024	2024	NUM
ajst-21777	2	8	147	147	NUM
ajst-21777	2	9	review	review	NOUN
ajst-21777	2	10	of	of	ADP
ajst-21777	2	11	semi‐supervised	semi‐supervised	ADJ
ajst-21777	2	12	medical	medical	ADJ
ajst-21777	2	13	image	image	NOUN
ajst-21777	2	14	segmentation	segmentation	NOUN
ajst-21777	2	15	based	base	VERB
ajst-21777	2	16	on	on	ADP
ajst-21777	2	17	the	the	DET
ajst-21777	2	18	u‐net	u‐net	PROPN
ajst-21777	2	19	lina	lina	PROPN
ajst-21777	2	20	dai1	dai1	PROPN
ajst-21777	2	21	,	,	PUNCT
ajst-21777	2	22	2	2	NUM
ajst-21777	2	23	,	,	PUNCT
ajst-21777	2	24	*	*	PUNCT
ajst-21777	2	25	md	md	PROPN
ajst-21777	2	26	gapar	gapar	PROPN
ajst-21777	2	27	md	md	PROPN
ajst-21777	2	28	johar3	johar3	PROPN
ajst-21777	2	29	,	,	PUNCT
ajst-21777	2	30	a	a	PRON
ajst-21777	2	31	,	,	PUNCT
ajst-21777	2	32	mohammed	mohammed	PROPN
ajst-21777	2	33	hazim	hazim	PROPN
ajst-21777	2	34	alkawaz4	alkawaz4	PROPN
ajst-21777	2	35	,	,	PUNCT
ajst-21777	2	36	b	b	PROPN
ajst-21777	2	37	1school	1school	NUM
ajst-21777	2	38	of	of	ADP
ajst-21777	2	39	graduate	graduate	NOUN
ajst-21777	2	40	studies	study	NOUN
ajst-21777	2	41	,	,	PUNCT
ajst-21777	2	42	management	management	NOUN
ajst-21777	2	43	and	and	CCONJ
ajst-21777	2	44	science	science	NOUN
ajst-21777	2	45	university,40100	university,40100	PROPN
ajst-21777	2	46	shah	shah	PROPN
ajst-21777	2	47	alam	alam	PROPN
ajst-21777	2	48	,	,	PUNCT
ajst-21777	2	49	selangor	selangor	PROPN
ajst-21777	2	50	,	,	PUNCT
ajst-21777	2	51	malaysia	malaysia	PROPN
ajst-21777	2	52	2school	2school	NUM
ajst-21777	2	53	of	of	ADP
ajst-21777	2	54	information	information	NOUN
ajst-21777	2	55	technology	technology	NOUN
ajst-21777	2	56	and	and	CCONJ
ajst-21777	2	57	engineering	engineering	NOUN
ajst-21777	2	58	,	,	PUNCT
ajst-21777	2	59	guangzhou	guangzhou	PROPN
ajst-21777	2	60	college	college	PROPN
ajst-21777	2	61	of	of	ADP
ajst-21777	2	62	commerce	commerce	PROPN
ajst-21777	2	63	,	,	PUNCT
ajst-21777	2	64	guangzhou	guangzhou	PROPN
ajst-21777	2	65	,	,	PUNCT
ajst-21777	2	66	china	china	PROPN
ajst-21777	2	67	3software	3software	NUM
ajst-21777	2	68	engineering	engineering	NOUN
ajst-21777	2	69	and	and	CCONJ
ajst-21777	2	70	digital	digital	ADJ
ajst-21777	2	71	innovation	innovation	NOUN
ajst-21777	2	72	center	center	NOUN
ajst-21777	2	73	,	,	PUNCT
ajst-21777	2	74	management	management	NOUN
ajst-21777	2	75	and	and	CCONJ
ajst-21777	2	76	science	science	NOUN
ajst-21777	2	77	university,40100	university,40100	PROPN
ajst-21777	2	78	shah	shah	PROPN
ajst-21777	2	79	alam	alam	PROPN
ajst-21777	2	80	,	,	PUNCT
ajst-21777	2	81	selangor	selangor	PROPN
ajst-21777	2	82	,	,	PUNCT
ajst-21777	2	83	malaysia	malaysia	PROPN
ajst-21777	2	84	4department	4department	NUM
ajst-21777	2	85	of	of	ADP
ajst-21777	2	86	computer	computer	NOUN
ajst-21777	2	87	science	science	NOUN
ajst-21777	2	88	,	,	PUNCT
ajst-21777	2	89	college	college	NOUN
ajst-21777	2	90	of	of	ADP
ajst-21777	2	91	education	education	NOUN
ajst-21777	2	92	for	for	ADP
ajst-21777	2	93	pure	pure	ADJ
ajst-21777	2	94	science	science	NOUN
ajst-21777	2	95	,	,	PUNCT
ajst-21777	2	96	university	university	NOUN
ajst-21777	2	97	of	of	ADP
ajst-21777	2	98	mosul	mosul	PROPN
ajst-21777	2	99	,	,	PUNCT
ajst-21777	2	100	mosul	mosul	PROPN
ajst-21777	2	101	,	,	PUNCT
ajst-21777	2	102	nineveh	nineveh	PROPN
ajst-21777	2	103	,	,	PUNCT
ajst-21777	2	104	iraq	iraq	PROPN
ajst-21777	2	105	*	*	PUNCT
ajst-21777	2	106	corresponding	correspond	VERB
ajst-21777	2	107	author	author	NOUN
ajst-21777	2	108	:	:	PUNCT
ajst-21777	2	109	dailina27@163.com	dailina27@163.com	X
ajst-21777	2	110	,	,	PUNCT
ajst-21777	2	111	amdgapar@msu.edu.my	amdgapar@msu.edu.my	NOUN
ajst-21777	2	112	,	,	PUNCT
ajst-21777	2	113	bmohammed.ameen@uomosul.edu.iq	bmohammed.ameen@uomosul.edu.iq	ADJ
ajst-21777	2	114	abstract	abstract	NOUN
ajst-21777	2	115	:	:	PUNCT
ajst-21777	2	116	medical	medical	ADJ
ajst-21777	2	117	image	image	NOUN
ajst-21777	2	118	segmentation	segmentation	NOUN
ajst-21777	2	119	is	be	AUX
ajst-21777	2	120	a	a	DET
ajst-21777	2	121	core	core	ADJ
ajst-21777	2	122	task	task	NOUN
ajst-21777	2	123	in	in	ADP
ajst-21777	2	124	the	the	DET
ajst-21777	2	125	field	field	NOUN
ajst-21777	2	126	of	of	ADP
ajst-21777	2	127	medical	medical	ADJ
ajst-21777	2	128	image	image	NOUN
ajst-21777	2	129	processing	processing	NOUN
ajst-21777	2	130	.	.	PUNCT
ajst-21777	3	1	it	it	PRON
ajst-21777	3	2	aims	aim	VERB
ajst-21777	3	3	to	to	PART
ajst-21777	3	4	separate	separate	ADJ
ajst-21777	3	5	areas	area	NOUN
ajst-21777	3	6	of	of	ADP
ajst-21777	3	7	interest	interest	NOUN
ajst-21777	3	8	such	such	ADJ
ajst-21777	3	9	as	as	ADP
ajst-21777	3	10	organs	organ	NOUN
ajst-21777	3	11	,	,	PUNCT
ajst-21777	3	12	tissues	tissue	NOUN
ajst-21777	3	13	,	,	PUNCT
ajst-21777	3	14	and	and	CCONJ
ajst-21777	3	15	lesions	lesion	NOUN
ajst-21777	3	16	from	from	ADP
ajst-21777	3	17	the	the	DET
ajst-21777	3	18	background	background	NOUN
ajst-21777	3	19	in	in	ADP
ajst-21777	3	20	medical	medical	ADJ
ajst-21777	3	21	images	image	NOUN
ajst-21777	3	22	to	to	PART
ajst-21777	3	23	facilitate	facilitate	VERB
ajst-21777	3	24	further	further	ADJ
ajst-21777	3	25	analysis	analysis	NOUN
ajst-21777	3	26	,	,	PUNCT
ajst-21777	3	27	diagnosis	diagnosis	NOUN
ajst-21777	3	28	,	,	PUNCT
ajst-21777	3	29	and	and	CCONJ
ajst-21777	3	30	treatment	treatment	NOUN
ajst-21777	3	31	planning	planning	NOUN
ajst-21777	3	32	.	.	PUNCT
ajst-21777	4	1	accurate	accurate	ADJ
ajst-21777	4	2	image	image	NOUN
ajst-21777	4	3	segmentation	segmentation	NOUN
ajst-21777	4	4	is	be	AUX
ajst-21777	4	5	crucial	crucial	ADJ
ajst-21777	4	6	for	for	ADP
ajst-21777	4	7	improving	improve	VERB
ajst-21777	4	8	the	the	DET
ajst-21777	4	9	accuracy	accuracy	NOUN
ajst-21777	4	10	of	of	ADP
ajst-21777	4	11	disease	disease	NOUN
ajst-21777	4	12	diagnosis	diagnosis	NOUN
ajst-21777	4	13	,	,	PUNCT
ajst-21777	4	14	assessing	assess	VERB
ajst-21777	4	15	disease	disease	NOUN
ajst-21777	4	16	progression	progression	NOUN
ajst-21777	4	17	,	,	PUNCT
ajst-21777	4	18	and	and	CCONJ
ajst-21777	4	19	developing	develop	VERB
ajst-21777	4	20	personalized	personalized	ADJ
ajst-21777	4	21	treatment	treatment	NOUN
ajst-21777	4	22	plans	plan	NOUN
ajst-21777	4	23	.	.	PUNCT
ajst-21777	5	1	however	however	ADV
ajst-21777	5	2	,	,	PUNCT
ajst-21777	5	3	fully	fully	ADV
ajst-21777	5	4	supervised	supervised	ADJ
ajst-21777	5	5	segmentation	segmentation	NOUN
ajst-21777	5	6	methods	method	NOUN
ajst-21777	5	7	face	face	VERB
ajst-21777	5	8	the	the	DET
ajst-21777	5	9	challenge	challenge	NOUN
ajst-21777	5	10	of	of	ADP
ajst-21777	5	11	high	high	ADJ
ajst-21777	5	12	annotation	annotation	NOUN
ajst-21777	5	13	costs	cost	NOUN
ajst-21777	5	14	.	.	PUNCT
ajst-21777	6	1	with	with	ADP
ajst-21777	6	2	the	the	DET
ajst-21777	6	3	emergence	emergence	NOUN
ajst-21777	6	4	of	of	ADP
ajst-21777	6	5	the	the	DET
ajst-21777	6	6	u	u	ADJ
ajst-21777	6	7	-	-	ADJ
ajst-21777	6	8	net	net	ADJ
ajst-21777	6	9	architecture	architecture	NOUN
ajst-21777	6	10	,	,	PUNCT
ajst-21777	6	11	semi	semi	ADJ
ajst-21777	6	12	-	-	ADJ
ajst-21777	6	13	supervised	supervised	ADJ
ajst-21777	6	14	medical	medical	ADJ
ajst-21777	6	15	image	image	NOUN
ajst-21777	6	16	segmentation	segmentation	NOUN
ajst-21777	6	17	based	base	VERB
ajst-21777	6	18	on	on	ADP
ajst-21777	6	19	u	u	NOUN
ajst-21777	6	20	-	-	NOUN
ajst-21777	6	21	net	net	NOUN
ajst-21777	6	22	is	be	AUX
ajst-21777	6	23	receiving	receive	VERB
ajst-21777	6	24	increasing	increase	VERB
ajst-21777	6	25	attention	attention	NOUN
ajst-21777	6	26	.	.	PUNCT
ajst-21777	7	1	this	this	DET
ajst-21777	7	2	article	article	NOUN
ajst-21777	7	3	reviews	review	VERB
ajst-21777	7	4	semi	semi	ADJ
ajst-21777	7	5	-	-	ADJ
ajst-21777	7	6	supervised	supervised	ADJ
ajst-21777	7	7	segmentation	segmentation	NOUN
ajst-21777	7	8	methods	method	NOUN
ajst-21777	7	9	,	,	PUNCT
ajst-21777	7	10	the	the	DET
ajst-21777	7	11	design	design	NOUN
ajst-21777	7	12	concept	concept	NOUN
ajst-21777	7	13	and	and	CCONJ
ajst-21777	7	14	structure	structure	NOUN
ajst-21777	7	15	of	of	ADP
ajst-21777	7	16	the	the	DET
ajst-21777	7	17	u	u	ADJ
ajst-21777	7	18	-	-	ADJ
ajst-21777	7	19	net	net	ADJ
ajst-21777	7	20	network	network	NOUN
ajst-21777	7	21	,	,	PUNCT
ajst-21777	7	22	how	how	SCONJ
ajst-21777	7	23	it	it	PRON
ajst-21777	7	24	has	have	AUX
ajst-21777	7	25	been	be	AUX
ajst-21777	7	26	extended	extend	VERB
ajst-21777	7	27	,	,	PUNCT
ajst-21777	7	28	and	and	CCONJ
ajst-21777	7	29	its	its	PRON
ajst-21777	7	30	application	application	NOUN
ajst-21777	7	31	in	in	ADP
ajst-21777	7	32	semi	semi	ADJ
ajst-21777	7	33	-	-	ADJ
ajst-21777	7	34	supervised	supervised	ADJ
ajst-21777	7	35	medical	medical	ADJ
ajst-21777	7	36	image	image	NOUN
ajst-21777	7	37	segmentation	segmentation	NOUN
ajst-21777	7	38	.	.	PUNCT
ajst-21777	8	1	the	the	DET
ajst-21777	8	2	article	article	NOUN
ajst-21777	8	3	also	also	ADV
ajst-21777	8	4	identifies	identify	VERB
ajst-21777	8	5	the	the	DET
ajst-21777	8	6	challenges	challenge	NOUN
ajst-21777	8	7	faced	face	VERB
ajst-21777	8	8	by	by	ADP
ajst-21777	8	9	semi	semi	ADJ
ajst-21777	8	10	-	-	ADJ
ajst-21777	8	11	supervised	supervised	ADJ
ajst-21777	8	12	medical	medical	ADJ
ajst-21777	8	13	image	image	NOUN
ajst-21777	8	14	segmentation	segmentation	NOUN
ajst-21777	8	15	techniques	technique	NOUN
ajst-21777	8	16	based	base	VERB
ajst-21777	8	17	on	on	ADP
ajst-21777	8	18	u	u	NOUN
ajst-21777	8	19	-	-	NOUN
ajst-21777	8	20	net	net	ADJ
ajst-21777	8	21	and	and	CCONJ
ajst-21777	8	22	speculates	speculate	VERB
ajst-21777	8	23	on	on	ADP
ajst-21777	8	24	possible	possible	ADJ
ajst-21777	8	25	future	future	ADJ
ajst-21777	8	26	research	research	NOUN
ajst-21777	8	27	directions	direction	NOUN
ajst-21777	8	28	.	.	PUNCT
ajst-21777	9	1	in	in	ADP
ajst-21777	9	2	conclusion	conclusion	NOUN
ajst-21777	9	3	,	,	PUNCT
ajst-21777	9	4	the	the	DET
ajst-21777	9	5	article	article	NOUN
ajst-21777	9	6	summarizes	summarize	VERB
ajst-21777	9	7	the	the	DET
ajst-21777	9	8	potential	potential	NOUN
ajst-21777	9	9	of	of	ADP
ajst-21777	9	10	semi	semi	ADJ
ajst-21777	9	11	-	-	ADJ
ajst-21777	9	12	supervised	supervised	ADJ
ajst-21777	9	13	medical	medical	ADJ
ajst-21777	9	14	image	image	NOUN
ajst-21777	9	15	segmentation	segmentation	NOUN
ajst-21777	9	16	technology	technology	NOUN
ajst-21777	9	17	based	base	VERB
ajst-21777	9	18	on	on	ADP
ajst-21777	9	19	u	u	NOUN
ajst-21777	9	20	-	-	NOUN
ajst-21777	9	21	net	net	NOUN
ajst-21777	9	22	as	as	ADP
ajst-21777	9	23	an	an	DET
ajst-21777	9	24	accurate	accurate	ADJ
ajst-21777	9	25	and	and	CCONJ
ajst-21777	9	26	efficient	efficient	ADJ
ajst-21777	9	27	tool	tool	NOUN
ajst-21777	9	28	for	for	ADP
ajst-21777	9	29	medical	medical	ADJ
ajst-21777	9	30	diagnosis	diagnosis	NOUN
ajst-21777	9	31	and	and	CCONJ
ajst-21777	9	32	treatment	treatment	NOUN
ajst-21777	9	33	.	.	PUNCT
ajst-21777	10	1	keywords	keyword	NOUN
ajst-21777	10	2	:	:	PUNCT
ajst-21777	10	3	semi	semi	ADV
ajst-21777	10	4	supervised	supervised	ADJ
ajst-21777	10	5	,	,	PUNCT
ajst-21777	10	6	u	u	NOUN
ajst-21777	10	7	-	-	NOUN
ajst-21777	10	8	net	net	ADJ
ajst-21777	10	9	,	,	PUNCT
ajst-21777	10	10	medical	medical	ADJ
ajst-21777	10	11	image	image	NOUN
ajst-21777	10	12	segmentation	segmentation	NOUN
ajst-21777	10	13	.	.	PUNCT
ajst-21777	11	1	1	1	X
ajst-21777	11	2	.	.	X
ajst-21777	11	3	introduction	introduction	NOUN
ajst-21777	11	4	image	image	NOUN
ajst-21777	11	5	segmentation	segmentation	NOUN
ajst-21777	11	6	technology	technology	NOUN
ajst-21777	11	7	plays	play	VERB
ajst-21777	11	8	a	a	DET
ajst-21777	11	9	crucial	crucial	ADJ
ajst-21777	11	10	role	role	NOUN
ajst-21777	11	11	in	in	ADP
ajst-21777	11	12	the	the	DET
ajst-21777	11	13	medical	medical	ADJ
ajst-21777	11	14	field	field	NOUN
ajst-21777	11	15	,	,	PUNCT
ajst-21777	11	16	enabling	enable	VERB
ajst-21777	11	17	doctors	doctor	NOUN
ajst-21777	11	18	to	to	PART
ajst-21777	11	19	precisely	precisely	ADV
ajst-21777	11	20	identify	identify	VERB
ajst-21777	11	21	and	and	CCONJ
ajst-21777	11	22	quantitatively	quantitatively	ADV
ajst-21777	11	23	analyze	analyze	VERB
ajst-21777	11	24	various	various	ADJ
ajst-21777	11	25	anatomical	anatomical	ADJ
ajst-21777	11	26	structures	structure	NOUN
ajst-21777	11	27	and	and	CCONJ
ajst-21777	11	28	pathological	pathological	ADJ
ajst-21777	11	29	states	state	NOUN
ajst-21777	11	30	from	from	ADP
ajst-21777	11	31	complex	complex	ADJ
ajst-21777	11	32	medical	medical	ADJ
ajst-21777	11	33	images(chaudhury	images(chaudhury	PROPN
ajst-21777	11	34	et	et	PROPN
ajst-21777	11	35	al	al	PROPN
ajst-21777	11	36	.	.	PROPN
ajst-21777	11	37	,	,	PUNCT
ajst-21777	11	38	2022	2022	NUM
ajst-21777	11	39	;	;	PUNCT
ajst-21777	11	40	ryalat	ryalat	NOUN
ajst-21777	11	41	et	et	PROPN
ajst-21777	11	42	al	al	PROPN
ajst-21777	11	43	.	.	PROPN
ajst-21777	11	44	,	,	PUNCT
ajst-21777	11	45	2023	2023	NUM
ajst-21777	11	46	)	)	PUNCT
ajst-21777	11	47	.	.	PUNCT
ajst-21777	12	1	this	this	DET
ajst-21777	12	2	technology	technology	NOUN
ajst-21777	12	3	significantly	significantly	ADV
ajst-21777	12	4	enhances	enhance	VERB
ajst-21777	12	5	the	the	DET
ajst-21777	12	6	accuracy	accuracy	NOUN
ajst-21777	12	7	of	of	ADP
ajst-21777	12	8	diagnosis	diagnosis	NOUN
ajst-21777	12	9	and	and	CCONJ
ajst-21777	12	10	treatment	treatment	NOUN
ajst-21777	12	11	and	and	CCONJ
ajst-21777	12	12	greatly	greatly	ADV
ajst-21777	12	13	optimizes	optimize	VERB
ajst-21777	12	14	the	the	DET
ajst-21777	12	15	medical	medical	ADJ
ajst-21777	12	16	workflow	workflow	NOUN
ajst-21777	12	17	,	,	PUNCT
ajst-21777	12	18	from	from	ADP
ajst-21777	12	19	diagnostic	diagnostic	ADJ
ajst-21777	12	20	support	support	NOUN
ajst-21777	12	21	to	to	ADP
ajst-21777	12	22	treatment	treatment	NOUN
ajst-21777	12	23	planning	planning	NOUN
ajst-21777	12	24	and	and	CCONJ
ajst-21777	12	25	disease	disease	NOUN
ajst-21777	12	26	monitoring(said	monitoring(said	PROPN
ajst-21777	12	27	,	,	PUNCT
ajst-21777	12	28	alsheikhy	alsheikhy	PROPN
ajst-21777	12	29	,	,	PUNCT
ajst-21777	12	30	shawly	shawly	ADV
ajst-21777	12	31	,	,	PUNCT
ajst-21777	12	32	&	&	CCONJ
ajst-21777	12	33	lahza	lahza	PROPN
ajst-21777	12	34	,	,	PUNCT
ajst-21777	12	35	2023	2023	NUM
ajst-21777	12	36	)	)	PUNCT
ajst-21777	12	37	.	.	PUNCT
ajst-21777	13	1	although	although	SCONJ
ajst-21777	13	2	fully	fully	ADV
ajst-21777	13	3	supervised	supervised	ADJ
ajst-21777	13	4	learning	learning	NOUN
ajst-21777	13	5	methods	method	NOUN
ajst-21777	13	6	have	have	AUX
ajst-21777	13	7	achieved	achieve	VERB
ajst-21777	13	8	remarkable	remarkable	ADJ
ajst-21777	13	9	success	success	NOUN
ajst-21777	13	10	in	in	ADP
ajst-21777	13	11	the	the	DET
ajst-21777	13	12	field	field	NOUN
ajst-21777	13	13	of	of	ADP
ajst-21777	13	14	medical	medical	ADJ
ajst-21777	13	15	image	image	NOUN
ajst-21777	13	16	segmentation	segmentation	NOUN
ajst-21777	13	17	,	,	PUNCT
ajst-21777	13	18	these	these	DET
ajst-21777	13	19	methods	method	NOUN
ajst-21777	13	20	heavily	heavily	ADV
ajst-21777	13	21	depend	depend	VERB
ajst-21777	13	22	on	on	ADP
ajst-21777	13	23	a	a	DET
ajst-21777	13	24	large	large	ADJ
ajst-21777	13	25	amount	amount	NOUN
ajst-21777	13	26	of	of	ADP
ajst-21777	13	27	manually	manually	ADV
ajst-21777	13	28	annotated	annotate	VERB
ajst-21777	13	29	data	datum	NOUN
ajst-21777	13	30	.	.	PUNCT
ajst-21777	14	1	acquiring	acquire	VERB
ajst-21777	14	2	such	such	ADJ
ajst-21777	14	3	data	datum	NOUN
ajst-21777	14	4	is	be	AUX
ajst-21777	14	5	both	both	PRON
ajst-21777	14	6	time	time	NOUN
ajst-21777	14	7	-	-	PUNCT
ajst-21777	14	8	consuming	consume	VERB
ajst-21777	14	9	and	and	CCONJ
ajst-21777	14	10	expensive	expensive	ADJ
ajst-21777	14	11	,	,	PUNCT
ajst-21777	14	12	especially	especially	ADV
ajst-21777	14	13	in	in	ADP
ajst-21777	14	14	specialized	specialized	ADJ
ajst-21777	14	15	medical	medical	ADJ
ajst-21777	14	16	fields	field	NOUN
ajst-21777	14	17	requiring	require	VERB
ajst-21777	14	18	deep	deep	ADJ
ajst-21777	14	19	expertise	expertise	NOUN
ajst-21777	14	20	.	.	PUNCT
ajst-21777	15	1	semi	semi	ADJ
ajst-21777	15	2	-	-	ADJ
ajst-21777	15	3	supervised	supervised	ADJ
ajst-21777	15	4	learning	learning	NOUN
ajst-21777	15	5	,	,	PUNCT
ajst-21777	15	6	as	as	ADP
ajst-21777	15	7	a	a	DET
ajst-21777	15	8	method	method	NOUN
ajst-21777	15	9	that	that	PRON
ajst-21777	15	10	utilizes	utilize	VERB
ajst-21777	15	11	a	a	DET
ajst-21777	15	12	large	large	ADJ
ajst-21777	15	13	amount	amount	NOUN
ajst-21777	15	14	of	of	ADP
ajst-21777	15	15	unlabeled	unlabeled	ADJ
ajst-21777	15	16	data	datum	NOUN
ajst-21777	15	17	along	along	ADP
ajst-21777	15	18	with	with	ADP
ajst-21777	15	19	a	a	DET
ajst-21777	15	20	small	small	ADJ
ajst-21777	15	21	amount	amount	NOUN
ajst-21777	15	22	of	of	ADP
ajst-21777	15	23	labeled	label	VERB
ajst-21777	15	24	data	datum	NOUN
ajst-21777	15	25	,	,	PUNCT
ajst-21777	15	26	offers	offer	VERB
ajst-21777	15	27	a	a	DET
ajst-21777	15	28	new	new	ADJ
ajst-21777	15	29	perspective	perspective	NOUN
ajst-21777	15	30	for	for	ADP
ajst-21777	15	31	addressing	address	VERB
ajst-21777	15	32	the	the	DET
ajst-21777	15	33	data	datum	NOUN
ajst-21777	15	34	scarcity	scarcity	NOUN
ajst-21777	15	35	problem	problem	NOUN
ajst-21777	15	36	in	in	ADP
ajst-21777	15	37	medical	medical	ADJ
ajst-21777	15	38	image	image	NOUN
ajst-21777	15	39	segmentation	segmentation	NOUN
ajst-21777	15	40	.	.	PUNCT
ajst-21777	16	1	this	this	DET
ajst-21777	16	2	approach	approach	NOUN
ajst-21777	16	3	not	not	PART
ajst-21777	16	4	only	only	ADV
ajst-21777	16	5	challenges	challenge	VERB
ajst-21777	16	6	the	the	DET
ajst-21777	16	7	traditional	traditional	ADJ
ajst-21777	16	8	reliance	reliance	NOUN
ajst-21777	16	9	on	on	ADP
ajst-21777	16	10	extensively	extensively	ADV
ajst-21777	16	11	annotated	annotate	VERB
ajst-21777	16	12	data	datum	NOUN
ajst-21777	16	13	but	but	CCONJ
ajst-21777	16	14	also	also	ADV
ajst-21777	16	15	opens	open	VERB
ajst-21777	16	16	up	up	ADP
ajst-21777	16	17	an	an	DET
ajst-21777	16	18	effective	effective	ADJ
ajst-21777	16	19	pathway	pathway	NOUN
ajst-21777	16	20	for	for	ADP
ajst-21777	16	21	high	high	ADJ
ajst-21777	16	22	-	-	PUNCT
ajst-21777	16	23	precision	precision	NOUN
ajst-21777	16	24	segmentation	segmentation	NOUN
ajst-21777	16	25	using	use	VERB
ajst-21777	16	26	unlabeled	unlabeled	ADJ
ajst-21777	16	27	medical	medical	ADJ
ajst-21777	16	28	images	image	NOUN
ajst-21777	16	29	.	.	PUNCT
ajst-21777	17	1	with	with	ADP
ajst-21777	17	2	the	the	DET
ajst-21777	17	3	rapid	rapid	ADJ
ajst-21777	17	4	development	development	NOUN
ajst-21777	17	5	of	of	ADP
ajst-21777	17	6	deep	deep	ADJ
ajst-21777	17	7	learning	learning	NOUN
ajst-21777	17	8	technologies	technology	NOUN
ajst-21777	17	9	,	,	PUNCT
ajst-21777	17	10	semi	semi	ADJ
ajst-21777	17	11	-	-	ADJ
ajst-21777	17	12	supervised	supervised	ADJ
ajst-21777	17	13	medical	medical	ADJ
ajst-21777	17	14	image	image	NOUN
ajst-21777	17	15	segmentation	segmentation	NOUN
ajst-21777	17	16	methods	method	NOUN
ajst-21777	17	17	based	base	VERB
ajst-21777	17	18	on	on	ADP
ajst-21777	17	19	deep	deep	ADJ
ajst-21777	17	20	learning	learning	NOUN
ajst-21777	17	21	have	have	AUX
ajst-21777	17	22	quickly	quickly	ADV
ajst-21777	17	23	risen	rise	VERB
ajst-21777	17	24	to	to	ADP
ajst-21777	17	25	prominence(jiao	prominence(jiao	PROPN
ajst-21777	17	26	et	et	PROPN
ajst-21777	17	27	al	al	PROPN
ajst-21777	17	28	.	.	PROPN
ajst-21777	17	29	,	,	PUNCT
ajst-21777	17	30	2023	2023	NUM
ajst-21777	17	31	)	)	PUNCT
ajst-21777	17	32	.	.	PUNCT
ajst-21777	18	1	by	by	ADP
ajst-21777	18	2	incorporating	incorporate	VERB
ajst-21777	18	3	innovative	innovative	ADJ
ajst-21777	18	4	network	network	NOUN
ajst-21777	18	5	architectures	architecture	NOUN
ajst-21777	18	6	,	,	PUNCT
ajst-21777	18	7	loss	loss	NOUN
ajst-21777	18	8	functions	function	NOUN
ajst-21777	18	9	,	,	PUNCT
ajst-21777	18	10	and	and	CCONJ
ajst-21777	18	11	training	training	NOUN
ajst-21777	18	12	strategies	strategy	NOUN
ajst-21777	18	13	,	,	PUNCT
ajst-21777	18	14	these	these	DET
ajst-21777	18	15	methods	method	NOUN
ajst-21777	18	16	effectively	effectively	ADV
ajst-21777	18	17	utilize	utilize	VERB
ajst-21777	18	18	the	the	DET
ajst-21777	18	19	rich	rich	ADJ
ajst-21777	18	20	information	information	NOUN
ajst-21777	18	21	contained	contain	VERB
ajst-21777	18	22	in	in	ADP
ajst-21777	18	23	unlabeled	unlabeled	ADJ
ajst-21777	18	24	data	datum	NOUN
ajst-21777	18	25	,	,	PUNCT
ajst-21777	18	26	thereby	thereby	ADV
ajst-21777	18	27	achieving	achieve	VERB
ajst-21777	18	28	remarkable	remarkable	ADJ
ajst-21777	18	29	performance	performance	NOUN
ajst-21777	18	30	in	in	ADP
ajst-21777	18	31	various	various	ADJ
ajst-21777	18	32	medical	medical	ADJ
ajst-21777	18	33	image	image	NOUN
ajst-21777	18	34	segmentation	segmentation	NOUN
ajst-21777	18	35	tasks(hu	tasks(hu	PROPN
ajst-21777	18	36	,	,	PUNCT
ajst-21777	18	37	zeng	zeng	PROPN
ajst-21777	18	38	,	,	PUNCT
ajst-21777	18	39	xu	xu	PROPN
ajst-21777	18	40	,	,	PUNCT
ajst-21777	18	41	&	&	CCONJ
ajst-21777	18	42	shi	shi	PROPN
ajst-21777	18	43	,	,	PUNCT
ajst-21777	18	44	2021	2021	NUM
ajst-21777	18	45	;	;	PUNCT
ajst-21777	18	46	luo	luo	PROPN
ajst-21777	18	47	,	,	PUNCT
ajst-21777	18	48	chen	chen	PROPN
ajst-21777	18	49	,	,	PUNCT
ajst-21777	18	50	song	song	NOUN
ajst-21777	18	51	,	,	PUNCT
ajst-21777	18	52	&	&	CCONJ
ajst-21777	18	53	wang	wang	PROPN
ajst-21777	18	54	,	,	PUNCT
ajst-21777	18	55	2021	2021	NUM
ajst-21777	18	56	;	;	PUNCT
ajst-21777	18	57	zhang	zhang	PROPN
ajst-21777	18	58	,	,	PUNCT
ajst-21777	18	59	zhang	zhang	PROPN
ajst-21777	18	60	,	,	PUNCT
ajst-21777	18	61	tian	tian	ADJ
ajst-21777	18	62	,	,	PUNCT
ajst-21777	18	63	lukasiewicz	lukasiewicz	ADJ
ajst-21777	18	64	,	,	PUNCT
ajst-21777	18	65	&	&	CCONJ
ajst-21777	18	66	xu	xu	PROPN
ajst-21777	18	67	,	,	PUNCT
ajst-21777	18	68	2023	2023	NUM
ajst-21777	18	69	)	)	PUNCT
ajst-21777	18	70	.	.	PUNCT
ajst-21777	19	1	despite	despite	SCONJ
ajst-21777	19	2	facing	face	VERB
ajst-21777	19	3	challenges	challenge	NOUN
ajst-21777	19	4	such	such	ADJ
ajst-21777	19	5	as	as	ADP
ajst-21777	19	6	data	datum	NOUN
ajst-21777	19	7	heterogeneity	heterogeneity	NOUN
ajst-21777	19	8	,	,	PUNCT
ajst-21777	19	9	model	model	NOUN
ajst-21777	19	10	generalization	generalization	NOUN
ajst-21777	19	11	capabilities	capability	NOUN
ajst-21777	19	12	,	,	PUNCT
ajst-21777	19	13	and	and	CCONJ
ajst-21777	19	14	the	the	DET
ajst-21777	19	15	design	design	NOUN
ajst-21777	19	16	of	of	ADP
ajst-21777	19	17	learning	learn	VERB
ajst-21777	19	18	strategies	strategy	NOUN
ajst-21777	19	19	,	,	PUNCT
ajst-21777	19	20	semi	semi	ADJ
ajst-21777	19	21	-	-	ADJ
ajst-21777	19	22	supervised	supervised	ADJ
ajst-21777	19	23	learning	learning	NOUN
ajst-21777	19	24	continues	continue	VERB
ajst-21777	19	25	to	to	PART
ajst-21777	19	26	demonstrate	demonstrate	VERB
ajst-21777	19	27	immense	immense	ADJ
ajst-21777	19	28	potential	potential	NOUN
ajst-21777	19	29	,	,	PUNCT
ajst-21777	19	30	bringing	bring	VERB
ajst-21777	19	31	new	new	ADJ
ajst-21777	19	32	breakthroughs	breakthrough	NOUN
ajst-21777	19	33	to	to	ADP
ajst-21777	19	34	the	the	DET
ajst-21777	19	35	field	field	NOUN
ajst-21777	19	36	of	of	ADP
ajst-21777	19	37	medical	medical	ADJ
ajst-21777	19	38	image	image	NOUN
ajst-21777	19	39	segmentation	segmentation	NOUN
ajst-21777	19	40	.	.	PUNCT
ajst-21777	20	1	with	with	ADP
ajst-21777	20	2	the	the	DET
ajst-21777	20	3	rapid	rapid	ADJ
ajst-21777	20	4	advancement	advancement	NOUN
ajst-21777	20	5	of	of	ADP
ajst-21777	20	6	deep	deep	ADJ
ajst-21777	20	7	neural	neural	ADJ
ajst-21777	20	8	networks	network	NOUN
ajst-21777	20	9	,	,	PUNCT
ajst-21777	20	10	significant	significant	ADJ
ajst-21777	20	11	progress	progress	NOUN
ajst-21777	20	12	has	have	AUX
ajst-21777	20	13	been	be	AUX
ajst-21777	20	14	made	make	VERB
ajst-21777	20	15	in	in	ADP
ajst-21777	20	16	medical	medical	ADJ
ajst-21777	20	17	image	image	NOUN
ajst-21777	20	18	segmentation	segmentation	NOUN
ajst-21777	20	19	techniques	technique	NOUN
ajst-21777	20	20	based	base	VERB
ajst-21777	20	21	on	on	ADP
ajst-21777	20	22	deep	deep	ADJ
ajst-21777	20	23	learning	learning	NOUN
ajst-21777	20	24	.	.	PUNCT
ajst-21777	21	1	deep	deep	ADJ
ajst-21777	21	2	learning	learning	NOUN
ajst-21777	21	3	models	model	NOUN
ajst-21777	21	4	,	,	PUNCT
ajst-21777	21	5	particularly	particularly	ADV
ajst-21777	21	6	convolutional	convolutional	ADJ
ajst-21777	21	7	neural	neural	ADJ
ajst-21777	21	8	networks	network	NOUN
ajst-21777	21	9	(	(	PUNCT
ajst-21777	21	10	cnns	cnns	PROPN
ajst-21777	21	11	)	)	PUNCT
ajst-21777	21	12	,	,	PUNCT
ajst-21777	21	13	have	have	AUX
ajst-21777	21	14	become	become	VERB
ajst-21777	21	15	central	central	ADJ
ajst-21777	21	16	technologies	technology	NOUN
ajst-21777	21	17	in	in	ADP
ajst-21777	21	18	the	the	DET
ajst-21777	21	19	field	field	NOUN
ajst-21777	21	20	of	of	ADP
ajst-21777	21	21	medical	medical	ADJ
ajst-21777	21	22	image	image	NOUN
ajst-21777	21	23	segmentation	segmentation	NOUN
ajst-21777	21	24	.	.	PUNCT
ajst-21777	22	1	these	these	DET
ajst-21777	22	2	models	model	NOUN
ajst-21777	22	3	are	be	AUX
ajst-21777	22	4	capable	capable	ADJ
ajst-21777	22	5	of	of	ADP
ajst-21777	22	6	learning	learn	VERB
ajst-21777	22	7	complex	complex	ADJ
ajst-21777	22	8	image	image	NOUN
ajst-21777	22	9	features	feature	NOUN
ajst-21777	22	10	,	,	PUNCT
ajst-21777	22	11	offering	offer	VERB
ajst-21777	22	12	higher	high	ADJ
ajst-21777	22	13	accuracy	accuracy	NOUN
ajst-21777	22	14	and	and	CCONJ
ajst-21777	22	15	robustness	robustness	NOUN
ajst-21777	22	16	compared	compare	VERB
ajst-21777	22	17	to	to	ADP
ajst-21777	22	18	traditional	traditional	ADJ
ajst-21777	22	19	machine	machine	NOUN
ajst-21777	22	20	learning	learning	NOUN
ajst-21777	22	21	methods	method	NOUN
ajst-21777	22	22	.	.	PUNCT
ajst-21777	23	1	u	u	NOUN
ajst-21777	23	2	-	-	NOUN
ajst-21777	23	3	net	net	ADJ
ajst-21777	23	4	is	be	AUX
ajst-21777	23	5	a	a	DET
ajst-21777	23	6	deep	deep	ADJ
ajst-21777	23	7	learning	learning	NOUN
ajst-21777	23	8	model	model	NOUN
ajst-21777	23	9	originally	originally	ADV
ajst-21777	23	10	proposed	propose	VERB
ajst-21777	23	11	by	by	ADP
ajst-21777	23	12	olaf	olaf	PROPN
ajst-21777	23	13	ronneberger	ronneberger	NOUN
ajst-21777	23	14	,	,	PUNCT
ajst-21777	23	15	philipp	philipp	PROPN
ajst-21777	23	16	fischer	fischer	PROPN
ajst-21777	23	17	,	,	PUNCT
ajst-21777	23	18	and	and	CCONJ
ajst-21777	23	19	thomas	thomas	PROPN
ajst-21777	23	20	brox	brox	PROPN
ajst-21777	23	21	in	in	ADP
ajst-21777	23	22	2015	2015	NUM
ajst-21777	23	23	,	,	PUNCT
ajst-21777	23	24	specifically	specifically	ADV
ajst-21777	23	25	designed	design	VERB
ajst-21777	23	26	to	to	PART
ajst-21777	23	27	address	address	VERB
ajst-21777	23	28	medical	medical	ADJ
ajst-21777	23	29	image	image	NOUN
ajst-21777	23	30	segmentation	segmentation	NOUN
ajst-21777	23	31	challenges(ronneberger	challenges(ronneberger	PROPN
ajst-21777	23	32	,	,	PUNCT
ajst-21777	23	33	fischer	fischer	PROPN
ajst-21777	23	34	,	,	PUNCT
ajst-21777	23	35	&	&	CCONJ
ajst-21777	23	36	brox	brox	PROPN
ajst-21777	23	37	,	,	PUNCT
ajst-21777	23	38	2015	2015	NUM
ajst-21777	23	39	)	)	PUNCT
ajst-21777	23	40	.	.	PUNCT
ajst-21777	24	1	this	this	DET
ajst-21777	24	2	model	model	NOUN
ajst-21777	24	3	features	feature	VERB
ajst-21777	24	4	a	a	DET
ajst-21777	24	5	u	u	NOUN
ajst-21777	24	6	-	-	ADJ
ajst-21777	24	7	shaped	shape	VERB
ajst-21777	24	8	architecture	architecture	NOUN
ajst-21777	24	9	that	that	PRON
ajst-21777	24	10	efficiently	efficiently	ADV
ajst-21777	24	11	captures	capture	VERB
ajst-21777	24	12	both	both	CCONJ
ajst-21777	24	13	contextual	contextual	ADJ
ajst-21777	24	14	and	and	CCONJ
ajst-21777	24	15	locational	locational	ADJ
ajst-21777	24	16	information	information	NOUN
ajst-21777	24	17	.	.	PUNCT
ajst-21777	25	1	due	due	ADP
ajst-21777	25	2	to	to	ADP
ajst-21777	25	3	its	its	PRON
ajst-21777	25	4	exceptional	exceptional	ADJ
ajst-21777	25	5	performance	performance	NOUN
ajst-21777	25	6	and	and	CCONJ
ajst-21777	25	7	flexible	flexible	ADJ
ajst-21777	25	8	structural	structural	ADJ
ajst-21777	25	9	design	design	NOUN
ajst-21777	25	10	,	,	PUNCT
ajst-21777	25	11	u	u	NOUN
ajst-21777	25	12	-	-	NOUN
ajst-21777	25	13	net	net	NOUN
ajst-21777	25	14	has	have	AUX
ajst-21777	25	15	played	play	VERB
ajst-21777	25	16	a	a	DET
ajst-21777	25	17	significant	significant	ADJ
ajst-21777	25	18	role	role	NOUN
ajst-21777	25	19	in	in	ADP
ajst-21777	25	20	the	the	DET
ajst-21777	25	21	field	field	NOUN
ajst-21777	25	22	of	of	ADP
ajst-21777	25	23	medical	medical	ADJ
ajst-21777	25	24	image	image	NOUN
ajst-21777	25	25	segmentation	segmentation	NOUN
ajst-21777	25	26	.	.	PUNCT
ajst-21777	26	1	it	it	PRON
ajst-21777	26	2	has	have	AUX
ajst-21777	26	3	not	not	PART
ajst-21777	26	4	only	only	ADV
ajst-21777	26	5	enhanced	enhance	VERB
ajst-21777	26	6	the	the	DET
ajst-21777	26	7	accuracy	accuracy	NOUN
ajst-21777	26	8	and	and	CCONJ
ajst-21777	26	9	efficiency	efficiency	NOUN
ajst-21777	26	10	of	of	ADP
ajst-21777	26	11	segmentation	segmentation	NOUN
ajst-21777	26	12	tasks	task	NOUN
ajst-21777	26	13	but	but	CCONJ
ajst-21777	26	14	also	also	ADV
ajst-21777	26	15	laid	lay	VERB
ajst-21777	26	16	a	a	DET
ajst-21777	26	17	solid	solid	ADJ
ajst-21777	26	18	foundation	foundation	NOUN
ajst-21777	26	19	for	for	ADP
ajst-21777	26	20	further	further	ADJ
ajst-21777	26	21	research	research	NOUN
ajst-21777	26	22	and	and	CCONJ
ajst-21777	26	23	applications(cao	applications(cao	PROPN
ajst-21777	26	24	et	et	PROPN
ajst-21777	26	25	al	al	PROPN
ajst-21777	26	26	.	.	PROPN
ajst-21777	26	27	,	,	PUNCT
ajst-21777	26	28	2022	2022	NUM
ajst-21777	26	29	;	;	PUNCT
ajst-21777	26	30	su	su	PROPN
ajst-21777	26	31	,	,	PUNCT
ajst-21777	26	32	zhang	zhang	PROPN
ajst-21777	26	33	,	,	PUNCT
ajst-21777	26	34	liu	liu	PROPN
ajst-21777	26	35	,	,	PUNCT
ajst-21777	26	36	&	&	CCONJ
ajst-21777	26	37	cheng	cheng	PROPN
ajst-21777	26	38	,	,	PUNCT
ajst-21777	26	39	2021	2021	NUM
ajst-21777	26	40	;	;	PUNCT
ajst-21777	26	41	zhou	zhou	PROPN
ajst-21777	26	42	,	,	PUNCT
ajst-21777	26	43	rahman	rahman	PROPN
ajst-21777	26	44	siddiquee	siddiquee	PROPN
ajst-21777	26	45	,	,	PUNCT
ajst-21777	26	46	tajbakhsh	tajbakhsh	PROPN
ajst-21777	26	47	,	,	PUNCT
ajst-21777	26	48	&	&	CCONJ
ajst-21777	26	49	liang	liang	PROPN
ajst-21777	26	50	,	,	PUNCT
ajst-21777	26	51	2018	2018	NUM
ajst-21777	26	52	)	)	PUNCT
ajst-21777	26	53	.	.	PUNCT
ajst-21777	27	1	with	with	ADP
ajst-21777	27	2	the	the	DET
ajst-21777	27	3	advancement	advancement	NOUN
ajst-21777	27	4	of	of	ADP
ajst-21777	27	5	models	model	NOUN
ajst-21777	27	6	like	like	ADP
ajst-21777	27	7	3d	3d	NUM
ajst-21777	27	8	u	u	NOUN
ajst-21777	27	9	-	-	NOUN
ajst-21777	27	10	net	net	ADJ
ajst-21777	27	11	,	,	PUNCT
ajst-21777	27	12	deep	deep	ADJ
ajst-21777	27	13	learning	learning	NOUN
ajst-21777	27	14	has	have	AUX
ajst-21777	27	15	become	become	VERB
ajst-21777	27	16	increasingly	increasingly	ADV
ajst-21777	27	17	effective	effective	ADJ
ajst-21777	27	18	at	at	ADP
ajst-21777	27	19	processing	processing	NOUN
ajst-21777	27	20	volumetric	volumetric	NOUN
ajst-21777	27	21	medical	medical	ADJ
ajst-21777	27	22	images	image	NOUN
ajst-21777	27	23	,	,	PUNCT
ajst-21777	27	24	including	include	VERB
ajst-21777	27	25	ct	ct	NUM
ajst-21777	27	26	and	and	CCONJ
ajst-21777	27	27	mri	mri	NOUN
ajst-21777	27	28	scans	scan	NOUN
ajst-21777	27	29	.	.	PUNCT
ajst-21777	28	1	this	this	DET
ajst-21777	28	2	progress	progress	NOUN
ajst-21777	28	3	allows	allow	VERB
ajst-21777	28	4	for	for	ADP
ajst-21777	28	5	more	more	ADV
ajst-21777	28	6	accurate	accurate	ADJ
ajst-21777	28	7	segmentation	segmentation	NOUN
ajst-21777	28	8	results	result	NOUN
ajst-21777	28	9	,	,	PUNCT
ajst-21777	28	10	especially	especially	ADV
ajst-21777	28	11	in	in	ADP
ajst-21777	28	12	complex	complex	ADJ
ajst-21777	28	13	anatomical	anatomical	ADJ
ajst-21777	28	14	structures(çiçek	structures(çiçek	NOUN
ajst-21777	28	15	,	,	PUNCT
ajst-21777	28	16	abdulkadir	abdulkadir	NOUN
ajst-21777	28	17	,	,	PUNCT
ajst-21777	28	18	lienkamp	lienkamp	ADJ
ajst-21777	28	19	,	,	PUNCT
ajst-21777	28	20	brox	brox	PROPN
ajst-21777	28	21	,	,	PUNCT
ajst-21777	28	22	&	&	CCONJ
ajst-21777	28	23	ronneberger	ronneberger	NOUN
ajst-21777	28	24	,	,	PUNCT
ajst-21777	28	25	2016	2016	NUM
ajst-21777	28	26	)	)	PUNCT
ajst-21777	28	27	.	.	PUNCT
ajst-21777	29	1	in	in	ADP
ajst-21777	29	2	recent	recent	ADJ
ajst-21777	29	3	years	year	NOUN
ajst-21777	29	4	,	,	PUNCT
ajst-21777	29	5	variants	variant	NOUN
ajst-21777	29	6	of	of	ADP
ajst-21777	29	7	the	the	DET
ajst-21777	29	8	u	u	ADJ
ajst-21777	29	9	-	-	ADJ
ajst-21777	29	10	net	net	ADJ
ajst-21777	29	11	network	network	NOUN
ajst-21777	29	12	have	have	AUX
ajst-21777	29	13	made	make	VERB
ajst-21777	29	14	significant	significant	ADJ
ajst-21777	29	15	progress	progress	NOUN
ajst-21777	29	16	in	in	ADP
ajst-21777	29	17	the	the	DET
ajst-21777	29	18	field	field	NOUN
ajst-21777	29	19	of	of	ADP
ajst-21777	29	20	medical	medical	ADJ
ajst-21777	29	21	image	image	NOUN
ajst-21777	29	22	segmentation(zhou	segmentation(zhou	PROPN
ajst-21777	29	23	et	et	PROPN
ajst-21777	29	24	al	al	PROPN
ajst-21777	29	25	.	.	PROPN
ajst-21777	29	26	,	,	PUNCT
ajst-21777	29	27	2018	2018	NUM
ajst-21777	29	28	)	)	PUNCT
ajst-21777	29	29	(	(	PUNCT
ajst-21777	29	30	huang	huang	PROPN
ajst-21777	29	31	et	et	PROPN
ajst-21777	29	32	al	al	PROPN
ajst-21777	29	33	.	.	PROPN
ajst-21777	29	34	,	,	PUNCT
ajst-21777	29	35	2020	2020	NUM
ajst-21777	29	36	)	)	PUNCT
ajst-21777	29	37	(	(	PUNCT
ajst-21777	29	38	ibtehaz	ibtehaz	PROPN
ajst-21777	29	39	&	&	CCONJ
ajst-21777	29	40	rahman	rahman	PROPN
ajst-21777	29	41	,	,	PUNCT
ajst-21777	29	42	2020	2020	NUM
ajst-21777	29	43	)	)	PUNCT
ajst-21777	29	44	.	.	PUNCT
ajst-21777	30	1	semi	semi	ADJ
ajst-21777	30	2	-	-	ADJ
ajst-21777	30	3	supervised	supervised	ADJ
ajst-21777	30	4	medical	medical	ADJ
ajst-21777	30	5	image	image	NOUN
ajst-21777	30	6	segmentation	segmentation	NOUN
ajst-21777	30	7	utilizing	utilize	VERB
ajst-21777	30	8	u	u	NOUN
ajst-21777	30	9	-	-	NOUN
ajst-21777	30	10	net	net	NOUN
ajst-21777	30	11	as	as	SCONJ
ajst-21777	30	12	the	the	DET
ajst-21777	30	13	backbone	backbone	NOUN
ajst-21777	30	14	network	network	NOUN
ajst-21777	30	15	is	be	AUX
ajst-21777	30	16	148	148	NUM
ajst-21777	30	17	garnering	garner	VERB
ajst-21777	30	18	increasing	increase	VERB
ajst-21777	30	19	attention	attention	NOUN
ajst-21777	30	20	.	.	PUNCT
ajst-21777	31	1	this	this	DET
ajst-21777	31	2	article	article	NOUN
ajst-21777	31	3	aims	aim	VERB
ajst-21777	31	4	to	to	PART
ajst-21777	31	5	review	review	VERB
ajst-21777	31	6	the	the	DET
ajst-21777	31	7	latest	late	ADJ
ajst-21777	31	8	advancements	advancement	NOUN
ajst-21777	31	9	in	in	ADP
ajst-21777	31	10	semi	semi	ADJ
ajst-21777	31	11	-	-	ADJ
ajst-21777	31	12	supervised	supervised	ADJ
ajst-21777	31	13	medical	medical	ADJ
ajst-21777	31	14	image	image	NOUN
ajst-21777	31	15	segmentation	segmentation	NOUN
ajst-21777	31	16	based	base	VERB
ajst-21777	31	17	on	on	ADP
ajst-21777	31	18	the	the	DET
ajst-21777	31	19	u	u	ADJ
ajst-21777	31	20	-	-	ADJ
ajst-21777	31	21	net	net	ADJ
ajst-21777	31	22	architecture	architecture	NOUN
ajst-21777	31	23	,	,	PUNCT
ajst-21777	31	24	encompassing	encompass	VERB
ajst-21777	31	25	key	key	ADJ
ajst-21777	31	26	technologies	technology	NOUN
ajst-21777	31	27	and	and	CCONJ
ajst-21777	31	28	principal	principal	ADJ
ajst-21777	31	29	algorithms	algorithm	NOUN
ajst-21777	31	30	.	.	PUNCT
ajst-21777	32	1	by	by	ADP
ajst-21777	32	2	conducting	conduct	VERB
ajst-21777	32	3	a	a	DET
ajst-21777	32	4	thorough	thorough	ADJ
ajst-21777	32	5	analysis	analysis	NOUN
ajst-21777	32	6	of	of	ADP
ajst-21777	32	7	current	current	ADJ
ajst-21777	32	8	research	research	NOUN
ajst-21777	32	9	outcomes	outcome	NOUN
ajst-21777	32	10	and	and	CCONJ
ajst-21777	32	11	challenges	challenge	NOUN
ajst-21777	32	12	,	,	PUNCT
ajst-21777	32	13	this	this	DET
ajst-21777	32	14	review	review	NOUN
ajst-21777	32	15	serves	serve	VERB
ajst-21777	32	16	to	to	PART
ajst-21777	32	17	guide	guide	VERB
ajst-21777	32	18	and	and	CCONJ
ajst-21777	32	19	inspire	inspire	VERB
ajst-21777	32	20	future	future	ADJ
ajst-21777	32	21	research	research	NOUN
ajst-21777	32	22	directions	direction	NOUN
ajst-21777	32	23	,	,	PUNCT
ajst-21777	32	24	aiming	aim	VERB
ajst-21777	32	25	to	to	PART
ajst-21777	32	26	promote	promote	VERB
ajst-21777	32	27	further	further	ADJ
ajst-21777	32	28	development	development	NOUN
ajst-21777	32	29	and	and	CCONJ
ajst-21777	32	30	innovation	innovation	NOUN
ajst-21777	32	31	in	in	ADP
ajst-21777	32	32	this	this	DET
ajst-21777	32	33	area	area	NOUN
ajst-21777	32	34	.	.	PUNCT
ajst-21777	33	1	2	2	X
ajst-21777	33	2	.	.	X
ajst-21777	33	3	semi	semi	ADJ
ajst-21777	33	4	-	-	ADJ
ajst-21777	33	5	supervised	supervised	ADJ
ajst-21777	33	6	medical	medical	ADJ
ajst-21777	33	7	image	image	NOUN
ajst-21777	33	8	segmentation	segmentation	NOUN
ajst-21777	33	9	methods	method	NOUN
ajst-21777	33	10	semi	semi	ADJ
ajst-21777	33	11	-	-	ADJ
ajst-21777	33	12	supervised	supervised	ADJ
ajst-21777	33	13	learning	learning	NOUN
ajst-21777	33	14	is	be	AUX
ajst-21777	33	15	a	a	DET
ajst-21777	33	16	crucial	crucial	ADJ
ajst-21777	33	17	methodology	methodology	NOUN
ajst-21777	33	18	in	in	ADP
ajst-21777	33	19	machine	machine	NOUN
ajst-21777	33	20	learning	learning	NOUN
ajst-21777	33	21	that	that	PRON
ajst-21777	33	22	lies	lie	VERB
ajst-21777	33	23	between	between	ADP
ajst-21777	33	24	supervised	supervised	ADJ
ajst-21777	33	25	and	and	CCONJ
ajst-21777	33	26	unsupervised	unsupervised	ADJ
ajst-21777	33	27	learning	learning	NOUN
ajst-21777	33	28	,	,	PUNCT
ajst-21777	33	29	utilizing	utilize	VERB
ajst-21777	33	30	both	both	DET
ajst-21777	33	31	labeled	label	VERB
ajst-21777	33	32	and	and	CCONJ
ajst-21777	33	33	unlabeled	unlabeled	ADJ
ajst-21777	33	34	data	datum	NOUN
ajst-21777	33	35	concurrently	concurrently	ADV
ajst-21777	33	36	.	.	PUNCT
ajst-21777	34	1	this	this	DET
ajst-21777	34	2	approach	approach	NOUN
ajst-21777	34	3	showcases	showcase	VERB
ajst-21777	34	4	unique	unique	ADJ
ajst-21777	34	5	advantages	advantage	NOUN
ajst-21777	34	6	in	in	ADP
ajst-21777	34	7	scenarios	scenario	NOUN
ajst-21777	34	8	where	where	SCONJ
ajst-21777	34	9	labels	label	NOUN
ajst-21777	34	10	are	be	AUX
ajst-21777	34	11	scarce	scarce	ADJ
ajst-21777	34	12	or	or	CCONJ
ajst-21777	34	13	costly	costly	ADJ
ajst-21777	34	14	to	to	PART
ajst-21777	34	15	obtain	obtain	VERB
ajst-21777	34	16	.	.	PUNCT
ajst-21777	35	1	it	it	PRON
ajst-21777	35	2	is	be	AUX
ajst-21777	35	3	particularly	particularly	ADV
ajst-21777	35	4	significant	significant	ADJ
ajst-21777	35	5	in	in	ADP
ajst-21777	35	6	the	the	DET
ajst-21777	35	7	field	field	NOUN
ajst-21777	35	8	of	of	ADP
ajst-21777	35	9	medical	medical	ADJ
ajst-21777	35	10	image	image	NOUN
ajst-21777	35	11	segmentation	segmentation	NOUN
ajst-21777	35	12	,	,	PUNCT
ajst-21777	35	13	where	where	SCONJ
ajst-21777	35	14	the	the	DET
ajst-21777	35	15	high	high	ADJ
ajst-21777	35	16	cost	cost	NOUN
ajst-21777	35	17	and	and	CCONJ
ajst-21777	35	18	time	time	NOUN
ajst-21777	35	19	consumption	consumption	NOUN
ajst-21777	35	20	of	of	ADP
ajst-21777	35	21	professional	professional	ADJ
ajst-21777	35	22	medical	medical	ADJ
ajst-21777	35	23	annotations	annotation	NOUN
ajst-21777	35	24	make	make	VERB
ajst-21777	35	25	semisupervised	semisupervised	ADJ
ajst-21777	35	26	methods	method	NOUN
ajst-21777	35	27	especially	especially	ADV
ajst-21777	35	28	important	important	ADJ
ajst-21777	35	29	.	.	PUNCT
ajst-21777	36	1	there	there	PRON
ajst-21777	36	2	are	be	VERB
ajst-21777	36	3	various	various	ADJ
ajst-21777	36	4	prevalent	prevalent	ADJ
ajst-21777	36	5	semi	semi	ADJ
ajst-21777	36	6	-	-	ADJ
ajst-21777	36	7	supervised	supervised	ADJ
ajst-21777	36	8	learning	learning	NOUN
ajst-21777	36	9	techniques	technique	NOUN
ajst-21777	36	10	,	,	PUNCT
ajst-21777	36	11	including	include	VERB
ajst-21777	36	12	pseudo	pseudo	NOUN
ajst-21777	36	13	-	-	NOUN
ajst-21777	36	14	labeling	labeling	ADJ
ajst-21777	36	15	,	,	PUNCT
ajst-21777	36	16	semi	semi	ADJ
ajst-21777	36	17	-	-	ADJ
ajst-21777	36	18	supervised	supervised	ADJ
ajst-21777	36	19	learning	learning	NOUN
ajst-21777	36	20	with	with	ADP
ajst-21777	36	21	unsupervised	unsupervised	ADJ
ajst-21777	36	22	regularization	regularization	NOUN
ajst-21777	36	23	,	,	PUNCT
ajst-21777	36	24	and	and	CCONJ
ajst-21777	36	25	semisupervised	semisupervise	VERB
ajst-21777	36	26	learning	learning	NOUN
ajst-21777	36	27	with	with	ADP
ajst-21777	36	28	knowledge	knowledge	NOUN
ajst-21777	36	29	priors	prior	NOUN
ajst-21777	36	30	.	.	PUNCT
ajst-21777	37	1	pseudo	pseudo	NOUN
ajst-21777	37	2	-	-	NOUN
ajst-21777	37	3	labeling	labeling	NOUN
ajst-21777	37	4	uses	use	VERB
ajst-21777	37	5	the	the	DET
ajst-21777	37	6	model	model	NOUN
ajst-21777	37	7	's	's	PART
ajst-21777	37	8	predictions	prediction	NOUN
ajst-21777	37	9	on	on	ADP
ajst-21777	37	10	unlabeled	unlabeled	ADJ
ajst-21777	37	11	data	datum	NOUN
ajst-21777	37	12	as	as	ADP
ajst-21777	37	13	"	"	PUNCT
ajst-21777	37	14	pseudolabels	pseudolabel	NOUN
ajst-21777	37	15	"	"	PUNCT
ajst-21777	37	16	to	to	PART
ajst-21777	37	17	enlarge	enlarge	VERB
ajst-21777	37	18	the	the	DET
ajst-21777	37	19	training	training	NOUN
ajst-21777	37	20	set	set	NOUN
ajst-21777	37	21	,	,	PUNCT
ajst-21777	37	22	thus	thus	ADV
ajst-21777	37	23	enhancing	enhance	VERB
ajst-21777	37	24	model	model	NOUN
ajst-21777	37	25	performance	performance	NOUN
ajst-21777	37	26	.	.	PUNCT
ajst-21777	38	1	semi	semi	ADJ
ajst-21777	38	2	-	-	ADJ
ajst-21777	38	3	supervised	supervised	ADJ
ajst-21777	38	4	learning	learning	NOUN
ajst-21777	38	5	with	with	ADP
ajst-21777	38	6	knowledge	knowledge	NOUN
ajst-21777	38	7	priors	prior	NOUN
ajst-21777	38	8	leverages	leverage	VERB
ajst-21777	38	9	unlabeled	unlabeled	ADJ
ajst-21777	38	10	images	image	NOUN
ajst-21777	38	11	to	to	PART
ajst-21777	38	12	impart	impart	VERB
ajst-21777	38	13	the	the	DET
ajst-21777	38	14	model	model	NOUN
ajst-21777	38	15	with	with	ADP
ajst-21777	38	16	a	a	DET
ajst-21777	38	17	priori	priori	ADJ
ajst-21777	38	18	knowledge	knowledge	NOUN
ajst-21777	38	19	of	of	ADP
ajst-21777	38	20	the	the	DET
ajst-21777	38	21	target	target	NOUN
ajst-21777	38	22	’s	’s	PART
ajst-21777	38	23	shape	shape	NOUN
ajst-21777	38	24	and	and	CCONJ
ajst-21777	38	25	location	location	NOUN
ajst-21777	38	26	,	,	PUNCT
ajst-21777	38	27	improving	improve	VERB
ajst-21777	38	28	representational	representational	ADJ
ajst-21777	38	29	power	power	NOUN
ajst-21777	38	30	for	for	ADP
ajst-21777	38	31	medical	medical	ADJ
ajst-21777	38	32	image	image	NOUN
ajst-21777	38	33	segmentation	segmentation	NOUN
ajst-21777	38	34	.	.	PUNCT
ajst-21777	39	1	semi	semi	ADJ
ajst-21777	39	2	-	-	ADJ
ajst-21777	39	3	supervised	supervised	ADJ
ajst-21777	39	4	learning	learning	NOUN
ajst-21777	39	5	with	with	ADP
ajst-21777	39	6	unsupervised	unsupervised	ADJ
ajst-21777	39	7	regularization	regularization	NOUN
ajst-21777	39	8	involves	involve	VERB
ajst-21777	39	9	adding	add	VERB
ajst-21777	39	10	one	one	NUM
ajst-21777	39	11	or	or	CCONJ
ajst-21777	39	12	more	more	ADJ
ajst-21777	39	13	regularization	regularization	NOUN
ajst-21777	39	14	losses	loss	NOUN
ajst-21777	39	15	based	base	VERB
ajst-21777	39	16	on	on	ADP
ajst-21777	39	17	unlabeled	unlabeled	ADJ
ajst-21777	39	18	data	datum	NOUN
ajst-21777	39	19	during	during	ADP
ajst-21777	39	20	training	training	NOUN
ajst-21777	39	21	,	,	PUNCT
ajst-21777	39	22	in	in	ADP
ajst-21777	39	23	addition	addition	NOUN
ajst-21777	39	24	to	to	ADP
ajst-21777	39	25	supervised	supervised	ADJ
ajst-21777	39	26	losses	loss	NOUN
ajst-21777	39	27	from	from	ADP
ajst-21777	39	28	labeled	label	VERB
ajst-21777	39	29	data	datum	NOUN
ajst-21777	39	30	,	,	PUNCT
ajst-21777	39	31	training	training	NOUN
ajst-21777	39	32	models	model	NOUN
ajst-21777	39	33	with	with	ADP
ajst-21777	39	34	unsupervised	unsupervised	ADJ
ajst-21777	39	35	regularization	regularization	NOUN
ajst-21777	39	36	by	by	ADP
ajst-21777	39	37	utilizing	utilize	VERB
ajst-21777	39	38	both	both	DET
ajst-21777	39	39	labeled	label	VERB
ajst-21777	39	40	and	and	CCONJ
ajst-21777	39	41	unlabeled	unlabeled	ADJ
ajst-21777	39	42	images	image	NOUN
ajst-21777	39	43	.	.	PUNCT
ajst-21777	40	1	mean	mean	ADJ
ajst-21777	40	2	teacher	teacher	NOUN
ajst-21777	40	3	is	be	AUX
ajst-21777	40	4	a	a	DET
ajst-21777	40	5	widely	widely	ADV
ajst-21777	40	6	utilized	utilize	VERB
ajst-21777	40	7	learning	learning	NOUN
ajst-21777	40	8	strategy	strategy	NOUN
ajst-21777	40	9	in	in	ADP
ajst-21777	40	10	semisupervised	semisupervise	VERB
ajst-21777	40	11	medical	medical	ADJ
ajst-21777	40	12	image	image	NOUN
ajst-21777	40	13	segmentation	segmentation	NOUN
ajst-21777	40	14	,	,	PUNCT
ajst-21777	40	15	categorized	categorize	VERB
ajst-21777	40	16	as	as	ADP
ajst-21777	40	17	a	a	DET
ajst-21777	40	18	type	type	NOUN
ajst-21777	40	19	of	of	ADP
ajst-21777	40	20	consistency	consistency	NOUN
ajst-21777	40	21	regularization	regularization	NOUN
ajst-21777	40	22	technique(tarvainen	technique(tarvainen	PROPN
ajst-21777	40	23	&	&	CCONJ
ajst-21777	40	24	valpola	valpola	PROPN
ajst-21777	40	25	,	,	PUNCT
ajst-21777	40	26	2017	2017	NUM
ajst-21777	40	27	)	)	PUNCT
ajst-21777	40	28	.	.	PUNCT
ajst-21777	41	1	it	it	PRON
ajst-21777	41	2	employs	employ	VERB
ajst-21777	41	3	two	two	NUM
ajst-21777	41	4	neural	neural	ADJ
ajst-21777	41	5	networks	network	NOUN
ajst-21777	41	6	:	:	PUNCT
ajst-21777	41	7	a	a	DET
ajst-21777	41	8	student	student	NOUN
ajst-21777	41	9	model	model	NOUN
ajst-21777	41	10	and	and	CCONJ
ajst-21777	41	11	a	a	DET
ajst-21777	41	12	teacher	teacher	NOUN
ajst-21777	41	13	model	model	NOUN
ajst-21777	41	14	,	,	PUNCT
ajst-21777	41	15	both	both	PRON
ajst-21777	41	16	sharing	share	VERB
ajst-21777	41	17	the	the	DET
ajst-21777	41	18	same	same	ADJ
ajst-21777	41	19	architecture	architecture	NOUN
ajst-21777	41	20	but	but	CCONJ
ajst-21777	41	21	initialized	initialize	VERB
ajst-21777	41	22	differently	differently	ADV
ajst-21777	41	23	.	.	PUNCT
ajst-21777	42	1	in	in	ADP
ajst-21777	42	2	the	the	DET
ajst-21777	42	3	training	training	NOUN
ajst-21777	42	4	phase	phase	NOUN
ajst-21777	42	5	,	,	PUNCT
ajst-21777	42	6	the	the	DET
ajst-21777	42	7	student	student	NOUN
ajst-21777	42	8	model	model	NOUN
ajst-21777	42	9	learns	learn	VERB
ajst-21777	42	10	directly	directly	ADV
ajst-21777	42	11	from	from	ADP
ajst-21777	42	12	the	the	DET
ajst-21777	42	13	labeled	label	VERB
ajst-21777	42	14	data	datum	NOUN
ajst-21777	42	15	,	,	PUNCT
ajst-21777	42	16	whereas	whereas	SCONJ
ajst-21777	42	17	the	the	DET
ajst-21777	42	18	teacher	teacher	NOUN
ajst-21777	42	19	model	model	NOUN
ajst-21777	42	20	's	's	PART
ajst-21777	42	21	weights	weight	NOUN
ajst-21777	42	22	are	be	AUX
ajst-21777	42	23	the	the	DET
ajst-21777	42	24	exponential	exponential	ADJ
ajst-21777	42	25	moving	move	VERB
ajst-21777	42	26	average	average	ADJ
ajst-21777	42	27	(	(	PUNCT
ajst-21777	42	28	ema	ema	PROPN
ajst-21777	42	29	)	)	PUNCT
ajst-21777	42	30	of	of	ADP
ajst-21777	42	31	the	the	DET
ajst-21777	42	32	student	student	NOUN
ajst-21777	42	33	model	model	NOUN
ajst-21777	42	34	's	's	PART
ajst-21777	42	35	weights(tarvainen	weights(tarvainen	PROPN
ajst-21777	42	36	&	&	CCONJ
ajst-21777	42	37	valpola	valpola	PROPN
ajst-21777	42	38	,	,	PUNCT
ajst-21777	42	39	2017	2017	NUM
ajst-21777	42	40	)	)	PUNCT
ajst-21777	42	41	.	.	PUNCT
ajst-21777	43	1	this	this	DET
ajst-21777	43	2	configuration	configuration	NOUN
ajst-21777	43	3	enhances	enhance	VERB
ajst-21777	43	4	the	the	DET
ajst-21777	43	5	stability	stability	NOUN
ajst-21777	43	6	of	of	ADP
ajst-21777	43	7	the	the	DET
ajst-21777	43	8	teacher	teacher	NOUN
ajst-21777	43	9	model	model	NOUN
ajst-21777	43	10	,	,	PUNCT
ajst-21777	43	11	reducing	reduce	VERB
ajst-21777	43	12	its	its	PRON
ajst-21777	43	13	sensitivity	sensitivity	NOUN
ajst-21777	43	14	to	to	ADP
ajst-21777	43	15	variabilities	variability	NOUN
ajst-21777	43	16	in	in	ADP
ajst-21777	43	17	the	the	DET
ajst-21777	43	18	training	training	NOUN
ajst-21777	43	19	process	process	NOUN
ajst-21777	43	20	,	,	PUNCT
ajst-21777	43	21	such	such	ADJ
ajst-21777	43	22	as	as	ADP
ajst-21777	43	23	initialization	initialization	NOUN
ajst-21777	43	24	and	and	CCONJ
ajst-21777	43	25	mini	mini	ADJ
ajst-21777	43	26	-	-	NOUN
ajst-21777	43	27	batch	batch	NOUN
ajst-21777	43	28	selection	selection	NOUN
ajst-21777	43	29	.	.	PUNCT
ajst-21777	44	1	the	the	DET
ajst-21777	44	2	core	core	ADJ
ajst-21777	44	3	idea	idea	NOUN
ajst-21777	44	4	behind	behind	ADP
ajst-21777	44	5	the	the	DET
ajst-21777	44	6	mean	mean	ADJ
ajst-21777	44	7	teacher	teacher	NOUN
ajst-21777	44	8	strategy	strategy	NOUN
ajst-21777	44	9	is	be	AUX
ajst-21777	44	10	to	to	PART
ajst-21777	44	11	enforce	enforce	VERB
ajst-21777	44	12	consistency	consistency	NOUN
ajst-21777	44	13	in	in	ADP
ajst-21777	44	14	the	the	DET
ajst-21777	44	15	predictions	prediction	NOUN
ajst-21777	44	16	of	of	ADP
ajst-21777	44	17	the	the	DET
ajst-21777	44	18	student	student	NOUN
ajst-21777	44	19	and	and	CCONJ
ajst-21777	44	20	teacher	teacher	NOUN
ajst-21777	44	21	models	model	NOUN
ajst-21777	44	22	on	on	ADP
ajst-21777	44	23	unlabeled	unlabele	VERB
ajst-21777	44	24	data(tarvainen	data(tarvainen	PROPN
ajst-21777	44	25	&	&	CCONJ
ajst-21777	44	26	valpola	valpola	PROPN
ajst-21777	44	27	,	,	PUNCT
ajst-21777	44	28	2017	2017	NUM
ajst-21777	44	29	)	)	PUNCT
ajst-21777	44	30	.	.	PUNCT
ajst-21777	45	1	this	this	DET
ajst-21777	45	2	consistency	consistency	NOUN
ajst-21777	45	3	loss	loss	NOUN
ajst-21777	45	4	encourages	encourage	VERB
ajst-21777	45	5	the	the	DET
ajst-21777	45	6	student	student	NOUN
ajst-21777	45	7	model	model	NOUN
ajst-21777	45	8	to	to	PART
ajst-21777	45	9	generate	generate	VERB
ajst-21777	45	10	stable	stable	ADJ
ajst-21777	45	11	and	and	CCONJ
ajst-21777	45	12	reliable	reliable	ADJ
ajst-21777	45	13	predictions	prediction	NOUN
ajst-21777	45	14	even	even	ADV
ajst-21777	45	15	for	for	ADP
ajst-21777	45	16	unlabeled	unlabeled	ADJ
ajst-21777	45	17	samples	sample	NOUN
ajst-21777	45	18	.	.	PUNCT
ajst-21777	46	1	in	in	ADP
ajst-21777	46	2	the	the	DET
ajst-21777	46	3	domain	domain	NOUN
ajst-21777	46	4	of	of	ADP
ajst-21777	46	5	medical	medical	ADJ
ajst-21777	46	6	image	image	NOUN
ajst-21777	46	7	segmentation	segmentation	NOUN
ajst-21777	46	8	,	,	PUNCT
ajst-21777	46	9	where	where	SCONJ
ajst-21777	46	10	annotated	annotate	VERB
ajst-21777	46	11	data	datum	NOUN
ajst-21777	46	12	are	be	AUX
ajst-21777	46	13	typically	typically	ADV
ajst-21777	46	14	scarce	scarce	ADJ
ajst-21777	46	15	and	and	CCONJ
ajst-21777	46	16	expensive	expensive	ADJ
ajst-21777	46	17	to	to	PART
ajst-21777	46	18	acquire	acquire	VERB
ajst-21777	46	19	,	,	PUNCT
ajst-21777	46	20	the	the	DET
ajst-21777	46	21	mean	mean	ADJ
ajst-21777	46	22	teacher	teacher	NOUN
ajst-21777	46	23	approach	approach	NOUN
ajst-21777	46	24	effectively	effectively	ADV
ajst-21777	46	25	utilizes	utilize	VERB
ajst-21777	46	26	unlabeled	unlabele	VERB
ajst-21777	46	27	images	image	NOUN
ajst-21777	46	28	to	to	PART
ajst-21777	46	29	enhance	enhance	VERB
ajst-21777	46	30	segmentation	segmentation	NOUN
ajst-21777	46	31	performance	performance	NOUN
ajst-21777	46	32	without	without	ADP
ajst-21777	46	33	the	the	DET
ajst-21777	46	34	need	need	NOUN
ajst-21777	46	35	for	for	ADP
ajst-21777	46	36	extensive	extensive	ADJ
ajst-21777	46	37	labeled	label	VERB
ajst-21777	46	38	datasets(tarvainen	datasets(tarvainen	PROPN
ajst-21777	46	39	&	&	CCONJ
ajst-21777	46	40	valpola	valpola	PROPN
ajst-21777	46	41	,	,	PUNCT
ajst-21777	46	42	2017).figure	2017).figure	NUM
ajst-21777	46	43	2.1	2.1	NUM
ajst-21777	46	44	depicts	depict	VERB
ajst-21777	46	45	the	the	DET
ajst-21777	46	46	framework	framework	NOUN
ajst-21777	46	47	of	of	ADP
ajst-21777	46	48	the	the	DET
ajst-21777	46	49	mean	mean	ADJ
ajst-21777	46	50	teacher	teacher	NOUN
ajst-21777	46	51	strategy	strategy	NOUN
ajst-21777	46	52	,	,	PUNCT
ajst-21777	46	53	divided	divide	VERB
ajst-21777	46	54	into	into	ADP
ajst-21777	46	55	two	two	NUM
ajst-21777	46	56	network	network	NOUN
ajst-21777	46	57	branches	branch	NOUN
ajst-21777	46	58	:	:	PUNCT
ajst-21777	46	59	the	the	DET
ajst-21777	46	60	teacher	teacher	NOUN
ajst-21777	46	61	and	and	CCONJ
ajst-21777	46	62	the	the	DET
ajst-21777	46	63	student	student	NOUN
ajst-21777	46	64	models	model	NOUN
ajst-21777	46	65	.	.	PUNCT
ajst-21777	47	1	for	for	ADP
ajst-21777	47	2	an	an	DET
ajst-21777	47	3	input	input	NOUN
ajst-21777	47	4	unlabeled	unlabele	VERB
ajst-21777	47	5	image	image	NOUN
ajst-21777	47	6	,	,	PUNCT
ajst-21777	47	7	the	the	DET
ajst-21777	47	8	teacher	teacher	NOUN
ajst-21777	47	9	model	model	NOUN
ajst-21777	47	10	provides	provide	VERB
ajst-21777	47	11	its	its	PRON
ajst-21777	47	12	gradient	gradient	NOUN
ajst-21777	47	13	-	-	PUNCT
ajst-21777	47	14	free	free	ADJ
ajst-21777	47	15	prediction	prediction	NOUN
ajst-21777	47	16	as	as	ADP
ajst-21777	47	17	a	a	DET
ajst-21777	47	18	target	target	NOUN
ajst-21777	47	19	for	for	ADP
ajst-21777	47	20	the	the	DET
ajst-21777	47	21	student	student	NOUN
ajst-21777	47	22	model	model	NOUN
ajst-21777	47	23	,	,	PUNCT
ajst-21777	47	24	which	which	PRON
ajst-21777	47	25	then	then	ADV
ajst-21777	47	26	learns	learn	VERB
ajst-21777	47	27	and	and	CCONJ
ajst-21777	47	28	optimizes	optimize	VERB
ajst-21777	47	29	its	its	PRON
ajst-21777	47	30	parameters	parameter	NOUN
ajst-21777	47	31	based	base	VERB
ajst-21777	47	32	on	on	ADP
ajst-21777	47	33	this	this	DET
ajst-21777	47	34	target	target	NOUN
ajst-21777	47	35	.	.	PUNCT
ajst-21777	48	1	the	the	DET
ajst-21777	48	2	mean	mean	ADJ
ajst-21777	48	3	teacher	teacher	NOUN
ajst-21777	48	4	model	model	NOUN
ajst-21777	48	5	employs	employ	VERB
ajst-21777	48	6	an	an	DET
ajst-21777	48	7	exponential	exponential	ADJ
ajst-21777	48	8	moving	move	VERB
ajst-21777	48	9	average	average	ADJ
ajst-21777	48	10	(	(	PUNCT
ajst-21777	48	11	ema	ema	PROPN
ajst-21777	48	12	)	)	PUNCT
ajst-21777	48	13	for	for	ADP
ajst-21777	48	14	calculating	calculate	VERB
ajst-21777	48	15	the	the	DET
ajst-21777	48	16	teacher	teacher	NOUN
ajst-21777	48	17	model	model	NOUN
ajst-21777	48	18	's	's	PART
ajst-21777	48	19	parameters	parameter	NOUN
ajst-21777	48	20	.	.	PUNCT
ajst-21777	49	1	the	the	DET
ajst-21777	49	2	teacher	teacher	NOUN
ajst-21777	49	3	model	model	NOUN
ajst-21777	49	4	does	do	AUX
ajst-21777	49	5	not	not	PART
ajst-21777	49	6	undergo	undergo	VERB
ajst-21777	49	7	direct	direct	ADJ
ajst-21777	49	8	gradient	gradient	NOUN
ajst-21777	49	9	optimization	optimization	NOUN
ajst-21777	49	10	;	;	PUNCT
ajst-21777	49	11	instead	instead	ADV
ajst-21777	49	12	,	,	PUNCT
ajst-21777	49	13	its	its	PRON
ajst-21777	49	14	parameters	parameter	NOUN
ajst-21777	49	15	are	be	AUX
ajst-21777	49	16	averaged	average	VERB
ajst-21777	49	17	with	with	ADP
ajst-21777	49	18	the	the	DET
ajst-21777	49	19	student	student	NOUN
ajst-21777	49	20	model	model	NOUN
ajst-21777	49	21	's	's	PART
ajst-21777	49	22	parameters	parameter	NOUN
ajst-21777	49	23	before	before	ADP
ajst-21777	49	24	each	each	DET
ajst-21777	49	25	backpropagation	backpropagation	NOUN
ajst-21777	49	26	step	step	NOUN
ajst-21777	49	27	,	,	PUNCT
ajst-21777	49	28	serving	serve	VERB
ajst-21777	49	29	as	as	ADP
ajst-21777	49	30	a	a	DET
ajst-21777	49	31	temporal	temporal	ADJ
ajst-21777	49	32	ensemble	ensemble	NOUN
ajst-21777	49	33	of	of	ADP
ajst-21777	49	34	the	the	DET
ajst-21777	49	35	student	student	NOUN
ajst-21777	49	36	model	model	NOUN
ajst-21777	49	37	—	—	PUNCT
ajst-21777	49	38	essentially	essentially	ADV
ajst-21777	49	39	a	a	DET
ajst-21777	49	40	collection	collection	NOUN
ajst-21777	49	41	of	of	ADP
ajst-21777	49	42	the	the	DET
ajst-21777	49	43	student	student	NOUN
ajst-21777	49	44	model	model	NOUN
ajst-21777	49	45	's	's	PART
ajst-21777	49	46	parameters	parameter	NOUN
ajst-21777	49	47	over	over	ADP
ajst-21777	49	48	time	time	NOUN
ajst-21777	49	49	.	.	PUNCT
ajst-21777	50	1	the	the	DET
ajst-21777	50	2	consistency	consistency	NOUN
ajst-21777	50	3	cost	cost	NOUN
ajst-21777	50	4	is	be	AUX
ajst-21777	50	5	defined	define	VERB
ajst-21777	50	6	as	as	ADP
ajst-21777	50	7	the	the	DET
ajst-21777	50	8	expected	expect	VERB
ajst-21777	50	9	discrepancy	discrepancy	NOUN
ajst-21777	50	10	between	between	ADP
ajst-21777	50	11	the	the	DET
ajst-21777	50	12	weighted	weight	VERB
ajst-21777	50	13	,	,	PUNCT
ajst-21777	50	14	noisy	noisy	ADJ
ajst-21777	50	15	predictions	prediction	NOUN
ajst-21777	50	16	of	of	ADP
ajst-21777	50	17	the	the	DET
ajst-21777	50	18	student	student	NOUN
ajst-21777	50	19	model	model	NOUN
ajst-21777	50	20	and	and	CCONJ
ajst-21777	50	21	those	those	PRON
ajst-21777	50	22	of	of	ADP
ajst-21777	50	23	the	the	DET
ajst-21777	50	24	teacher	teacher	NOUN
ajst-21777	50	25	model(tarvainen	model(tarvainen	PROPN
ajst-21777	50	26	&	&	CCONJ
ajst-21777	50	27	valpola	valpola	PROPN
ajst-21777	50	28	,	,	PUNCT
ajst-21777	50	29	2017	2017	NUM
ajst-21777	50	30	)	)	PUNCT
ajst-21777	50	31	.	.	PUNCT
ajst-21777	51	1	figure	figure	VERB
ajst-21777	51	2	2.1	2.1	NUM
ajst-21777	51	3	mean	mean	NOUN
ajst-21777	51	4	teacher	teacher	NOUN
ajst-21777	51	5	framework	framework	NOUN
ajst-21777	51	6	diagram(tarvainen	diagram(tarvainen	PROPN
ajst-21777	51	7	&	&	CCONJ
ajst-21777	51	8	valpola	valpola	PROPN
ajst-21777	51	9	,	,	PUNCT
ajst-21777	51	10	2017	2017	NUM
ajst-21777	51	11	)	)	PUNCT
ajst-21777	51	12	table	table	NOUN
ajst-21777	51	13	2.1	2.1	NUM
ajst-21777	51	14	describes	describe	VERB
ajst-21777	51	15	the	the	DET
ajst-21777	51	16	research	research	NOUN
ajst-21777	51	17	progress	progress	NOUN
ajst-21777	51	18	of	of	ADP
ajst-21777	51	19	three	three	NUM
ajst-21777	51	20	commonly	commonly	ADV
ajst-21777	51	21	used	use	VERB
ajst-21777	51	22	semi	semi	ADJ
ajst-21777	51	23	-	-	ADJ
ajst-21777	51	24	supervised	supervised	ADJ
ajst-21777	51	25	medical	medical	ADJ
ajst-21777	51	26	image	image	NOUN
ajst-21777	51	27	segmentation	segmentation	NOUN
ajst-21777	51	28	methods	method	NOUN
ajst-21777	51	29	.	.	PUNCT
ajst-21777	52	1	149	149	NUM
ajst-21777	52	2	table	table	NOUN
ajst-21777	52	3	2.1	2.1	NUM
ajst-21777	52	4	.	.	PUNCT
ajst-21777	53	1	semi	semi	ADJ
ajst-21777	53	2	-	-	ADJ
ajst-21777	53	3	supervised	supervised	ADJ
ajst-21777	53	4	medical	medical	ADJ
ajst-21777	53	5	image	image	NOUN
ajst-21777	53	6	segmentation	segmentation	NOUN
ajst-21777	53	7	review	review	NOUN
ajst-21777	53	8	table	table	NOUN
ajst-21777	53	9	1.semi	1.semi	NUM
ajst-21777	53	10	-	-	PUNCT
ajst-21777	53	11	supervised	supervised	ADJ
ajst-21777	53	12	learning	learning	NOUN
ajst-21777	53	13	with	with	ADP
ajst-21777	53	14	pseudo	pseudo	NOUN
ajst-21777	53	15	labels	label	NOUN
ajst-21777	53	16	:	:	PUNCT
ajst-21777	53	17	article	article	NOUN
ajst-21777	53	18	data	data	PROPN
ajst-21777	53	19	sources	source	NOUN
ajst-21777	53	20	conclusions	conclusion	NOUN
ajst-21777	53	21	(	(	PUNCT
ajst-21777	53	22	han	han	PROPN
ajst-21777	53	23	et	et	PROPN
ajst-21777	53	24	al	al	PROPN
ajst-21777	53	25	.	.	PROPN
ajst-21777	53	26	,	,	PUNCT
ajst-21777	53	27	2022	2022	NUM
ajst-21777	53	28	)	)	PUNCT
ajst-21777	53	29	part	part	NOUN
ajst-21777	53	30	of	of	ADP
ajst-21777	53	31	lits	lit	NOUN
ajst-21777	53	32	dataset	dataset	VERB
ajst-21777	53	33	they	they	PRON
ajst-21777	53	34	proposed	propose	VERB
ajst-21777	53	35	a	a	DET
ajst-21777	53	36	method	method	NOUN
ajst-21777	53	37	based	base	VERB
ajst-21777	53	38	on	on	ADP
ajst-21777	53	39	prototype	prototype	NOUN
ajst-21777	53	40	learning	learn	VERB
ajst-21777	53	41	to	to	PART
ajst-21777	53	42	generate	generate	VERB
ajst-21777	53	43	class	class	NOUN
ajst-21777	53	44	representations	representation	NOUN
ajst-21777	53	45	from	from	ADP
ajst-21777	53	46	labeled	label	VERB
ajst-21777	53	47	data	datum	NOUN
ajst-21777	53	48	.	.	PUNCT
ajst-21777	54	1	they	they	PRON
ajst-21777	54	2	calculated	calculate	VERB
ajst-21777	54	3	the	the	DET
ajst-21777	54	4	distances	distance	NOUN
ajst-21777	54	5	between	between	ADP
ajst-21777	54	6	feature	feature	NOUN
ajst-21777	54	7	vectors	vector	NOUN
ajst-21777	54	8	of	of	ADP
ajst-21777	54	9	unlabeled	unlabeled	ADJ
ajst-21777	54	10	images	image	NOUN
ajst-21777	54	11	and	and	CCONJ
ajst-21777	54	12	each	each	DET
ajst-21777	54	13	class	class	NOUN
ajst-21777	54	14	representation	representation	NOUN
ajst-21777	54	15	,	,	PUNCT
ajst-21777	54	16	followed	follow	VERB
ajst-21777	54	17	by	by	ADP
ajst-21777	54	18	morphological	morphological	ADJ
ajst-21777	54	19	operations	operation	NOUN
ajst-21777	54	20	to	to	PART
ajst-21777	54	21	create	create	VERB
ajst-21777	54	22	high	high	ADJ
ajst-21777	54	23	-	-	PUNCT
ajst-21777	54	24	quality	quality	NOUN
ajst-21777	54	25	pseudo	pseudo	NOUN
ajst-21777	54	26	-	-	NOUN
ajst-21777	54	27	labels	label	NOUN
ajst-21777	54	28	(	(	PUNCT
ajst-21777	54	29	xiaoyan	xiaoyan	X
ajst-21777	54	30	et	et	PROPN
ajst-21777	54	31	al	al	PROPN
ajst-21777	54	32	.	.	PROPN
ajst-21777	54	33	,	,	PUNCT
ajst-21777	54	34	2022	2022	NUM
ajst-21777	54	35	)	)	PUNCT
ajst-21777	54	36	covid-19	covid-19	PROPN
ajst-21777	54	37	-	-	PUNCT
ajst-21777	54	38	ct	ct	PROPN
ajst-21777	54	39	-	-	PUNCT
ajst-21777	54	40	seg	seg	NOUN
ajst-21777	54	41	they	they	PRON
ajst-21777	54	42	introduced	introduce	VERB
ajst-21777	54	43	a	a	DET
ajst-21777	54	44	trust	trust	NOUN
ajst-21777	54	45	module	module	NOUN
ajst-21777	54	46	to	to	PART
ajst-21777	54	47	re	re	VERB
ajst-21777	54	48	-	-	VERB
ajst-21777	54	49	evaluate	evaluate	VERB
ajst-21777	54	50	the	the	DET
ajst-21777	54	51	pseudo	pseudo	NOUN
ajst-21777	54	52	-	-	NOUN
ajst-21777	54	53	labels	label	NOUN
ajst-21777	54	54	from	from	ADP
ajst-21777	54	55	the	the	DET
ajst-21777	54	56	model	model	NOUN
ajst-21777	54	57	outputs	output	NOUN
ajst-21777	54	58	and	and	CCONJ
ajst-21777	54	59	set	set	VERB
ajst-21777	54	60	a	a	DET
ajst-21777	54	61	threshold	threshold	NOUN
ajst-21777	54	62	to	to	PART
ajst-21777	54	63	select	select	VERB
ajst-21777	54	64	high	high	ADJ
ajst-21777	54	65	-	-	PUNCT
ajst-21777	54	66	confidence	confidence	NOUN
ajst-21777	54	67	pseudo	pseudo	NOUN
ajst-21777	54	68	-	-	NOUN
ajst-21777	54	69	labels	label	NOUN
ajst-21777	54	70	.	.	PUNCT
ajst-21777	55	1	this	this	DET
ajst-21777	55	2	approach	approach	NOUN
ajst-21777	55	3	reduces	reduce	VERB
ajst-21777	55	4	the	the	DET
ajst-21777	55	5	propagation	propagation	NOUN
ajst-21777	55	6	of	of	ADP
ajst-21777	55	7	pseudo	pseudo	NOUN
ajst-21777	55	8	-	-	ADJ
ajst-21777	55	9	label	label	ADJ
ajst-21777	55	10	errors	error	NOUN
ajst-21777	55	11	caused	cause	VERB
ajst-21777	55	12	by	by	ADP
ajst-21777	55	13	model	model	NOUN
ajst-21777	55	14	overfitting	overfitting	NOUN
ajst-21777	55	15	and	and	CCONJ
ajst-21777	55	16	confirmation	confirmation	NOUN
ajst-21777	55	17	bias	bias	NOUN
ajst-21777	55	18	.	.	PUNCT
ajst-21777	56	1	(	(	PUNCT
ajst-21777	56	2	awan	awan	PROPN
ajst-21777	56	3	et	et	PROPN
ajst-21777	56	4	al	al	PROPN
ajst-21777	56	5	.	.	PROPN
ajst-21777	56	6	,	,	PUNCT
ajst-21777	56	7	2017	2017	NUM
ajst-21777	56	8	)	)	PUNCT
ajst-21777	56	9	covid-19	covid-19	PROPN
ajst-21777	56	10	-	-	PUNCT
ajst-21777	56	11	ct	ct	PROPN
ajst-21777	56	12	-	-	PUNCT
ajst-21777	56	13	seg	seg	NOUN
ajst-21777	56	14	they	they	PRON
ajst-21777	56	15	presented	present	VERB
ajst-21777	56	16	a	a	DET
ajst-21777	56	17	self	self	NOUN
ajst-21777	56	18	-	-	PUNCT
ajst-21777	56	19	ensembling	ensemble	VERB
ajst-21777	56	20	strategy	strategy	NOUN
ajst-21777	56	21	,	,	PUNCT
ajst-21777	56	22	which	which	PRON
ajst-21777	56	23	constructs	construct	VERB
ajst-21777	56	24	up	up	ADP
ajst-21777	56	25	-	-	PUNCT
ajst-21777	56	26	to	to	ADP
ajst-21777	56	27	-	-	PUNCT
ajst-21777	56	28	date	date	NOUN
ajst-21777	56	29	predictions	prediction	NOUN
ajst-21777	56	30	through	through	ADP
ajst-21777	56	31	exponential	exponential	ADJ
ajst-21777	56	32	moving	move	VERB
ajst-21777	56	33	average	average	NOUN
ajst-21777	56	34	to	to	PART
ajst-21777	56	35	avoid	avoid	VERB
ajst-21777	56	36	noisy	noisy	ADJ
ajst-21777	56	37	and	and	CCONJ
ajst-21777	56	38	unstable	unstable	ADJ
ajst-21777	56	39	pseudo	pseudo	NOUN
ajst-21777	56	40	-	-	NOUN
ajst-21777	56	41	labels	label	NOUN
ajst-21777	56	42	(	(	PUNCT
ajst-21777	56	43	shi	shi	PROPN
ajst-21777	56	44	et	et	PROPN
ajst-21777	56	45	al	al	PROPN
ajst-21777	56	46	.	.	PROPN
ajst-21777	56	47	,	,	PUNCT
ajst-21777	56	48	2021	2021	NUM
ajst-21777	56	49	)	)	PUNCT
ajst-21777	56	50	pancreas	pancreas	NOUN
ajst-21777	56	51	ct	ct	INTJ
ajst-21777	56	52	,	,	PUNCT
ajst-21777	56	53	mr	mr	PROPN
ajst-21777	56	54	endocardium	endocardium	PROPN
ajst-21777	56	55	,	,	PUNCT
ajst-21777	56	56	acdc	acdc	PROPN
ajst-21777	56	57	they	they	PRON
ajst-21777	56	58	introduced	introduce	VERB
ajst-21777	56	59	a	a	DET
ajst-21777	56	60	conservative	conservative	ADJ
ajst-21777	56	61	-	-	PUNCT
ajst-21777	56	62	radical	radical	ADJ
ajst-21777	56	63	network	network	NOUN
ajst-21777	56	64	that	that	PRON
ajst-21777	56	65	categorizes	categorize	VERB
ajst-21777	56	66	predicted	predict	VERB
ajst-21777	56	67	pixels	pixel	NOUN
ajst-21777	56	68	into	into	ADP
ajst-21777	56	69	conservative	conservative	ADJ
ajst-21777	56	70	and	and	CCONJ
ajst-21777	56	71	radical	radical	ADJ
ajst-21777	56	72	settings	setting	NOUN
ajst-21777	56	73	.	.	PUNCT
ajst-21777	57	1	the	the	DET
ajst-21777	57	2	overlap	overlap	NOUN
ajst-21777	57	3	region	region	NOUN
ajst-21777	57	4	between	between	ADP
ajst-21777	57	5	these	these	DET
ajst-21777	57	6	settings	setting	NOUN
ajst-21777	57	7	is	be	AUX
ajst-21777	57	8	used	use	VERB
ajst-21777	57	9	as	as	ADP
ajst-21777	57	10	pseudo	pseudo	NOUN
ajst-21777	57	11	-	-	NOUN
ajst-21777	57	12	labels	label	NOUN
ajst-21777	57	13	to	to	PART
ajst-21777	57	14	obtain	obtain	VERB
ajst-21777	57	15	more	more	ADV
ajst-21777	57	16	stable	stable	ADJ
ajst-21777	57	17	pseudo	pseudo	NOUN
ajst-21777	57	18	-	-	NOUN
ajst-21777	57	19	labels	label	NOUN
ajst-21777	57	20	.	.	PUNCT
ajst-21777	58	1	(	(	PUNCT
ajst-21777	58	2	renzhen	renzhen	X
ajst-21777	58	3	,	,	PUNCT
ajst-21777	58	4	wu	wu	PROPN
ajst-21777	58	5	,	,	PUNCT
ajst-21777	58	6	chen	chen	PROPN
ajst-21777	58	7	,	,	PUNCT
ajst-21777	58	8	wang	wang	PROPN
ajst-21777	58	9	,	,	PUNCT
ajst-21777	58	10	&	&	CCONJ
ajst-21777	58	11	meng	meng	PROPN
ajst-21777	58	12	,	,	PUNCT
ajst-21777	58	13	2021	2021	NUM
ajst-21777	58	14	)	)	PUNCT
ajst-21777	58	15	isic	isic	PROPN
ajst-21777	58	16	skin	skin	NOUN
ajst-21777	58	17	,	,	PUNCT
ajst-21777	58	18	chexpert	chexpert	ADJ
ajst-21777	58	19	they	they	PRON
ajst-21777	58	20	proposed	propose	VERB
ajst-21777	58	21	a	a	DET
ajst-21777	58	22	neighbor	neighbor	NOUN
ajst-21777	58	23	matching	matching	NOUN
ajst-21777	58	24	method	method	NOUN
ajst-21777	58	25	that	that	PRON
ajst-21777	58	26	generates	generate	VERB
ajst-21777	58	27	pseudo	pseudo	NOUN
ajst-21777	58	28	-	-	NOUN
ajst-21777	58	29	labels	label	NOUN
ajst-21777	58	30	based	base	VERB
ajst-21777	58	31	on	on	ADP
ajst-21777	58	32	the	the	DET
ajst-21777	58	33	embedding	embed	VERB
ajst-21777	58	34	similarity	similarity	NOUN
ajst-21777	58	35	with	with	ADP
ajst-21777	58	36	neighboring	neighboring	NOUN
ajst-21777	58	37	labeled	label	VERB
ajst-21777	58	38	data	datum	NOUN
ajst-21777	58	39	.	.	PUNCT
ajst-21777	59	1	this	this	DET
ajst-21777	59	2	approach	approach	NOUN
ajst-21777	59	3	mitigates	mitigate	VERB
ajst-21777	59	4	the	the	DET
ajst-21777	59	5	confirmation	confirmation	NOUN
ajst-21777	59	6	bias	bias	NOUN
ajst-21777	59	7	problem	problem	NOUN
ajst-21777	59	8	associated	associate	VERB
ajst-21777	59	9	with	with	ADP
ajst-21777	59	10	pseudolabel	pseudolabel	NOUN
ajst-21777	59	11	generation	generation	NOUN
ajst-21777	59	12	from	from	ADP
ajst-21777	59	13	network	network	NOUN
ajst-21777	59	14	predictions	prediction	NOUN
ajst-21777	59	15	.	.	PUNCT
ajst-21777	60	1	(	(	PUNCT
ajst-21777	60	2	seibold	seibold	ADJ
ajst-21777	60	3	,	,	PUNCT
ajst-21777	60	4	reiß	reiß	NOUN
ajst-21777	60	5	,	,	PUNCT
ajst-21777	60	6	kleesiek	kleesiek	NOUN
ajst-21777	60	7	,	,	PUNCT
ajst-21777	60	8	&	&	CCONJ
ajst-21777	60	9	stiefelhagen	stiefelhagen	PROPN
ajst-21777	60	10	,	,	PUNCT
ajst-21777	60	11	2022	2022	NUM
ajst-21777	60	12	)	)	PUNCT
ajst-21777	60	13	jsrt	jsrt	NOUN
ajst-21777	60	14	dataset	dataset	NOUN
ajst-21777	60	15	they	they	PRON
ajst-21777	60	16	proposed	propose	VERB
ajst-21777	60	17	a	a	DET
ajst-21777	60	18	method	method	NOUN
ajst-21777	60	19	that	that	PRON
ajst-21777	60	20	generates	generate	VERB
ajst-21777	60	21	pseudo	pseudo	NOUN
ajst-21777	60	22	-	-	NOUN
ajst-21777	60	23	labels	label	NOUN
ajst-21777	60	24	by	by	ADP
ajst-21777	60	25	matching	match	VERB
ajst-21777	60	26	unlabeled	unlabeled	ADJ
ajst-21777	60	27	data	datum	NOUN
ajst-21777	60	28	with	with	ADP
ajst-21777	60	29	a	a	DET
ajst-21777	60	30	set	set	NOUN
ajst-21777	60	31	of	of	ADP
ajst-21777	60	32	labeled	label	VERB
ajst-21777	60	33	reference	reference	NOUN
ajst-21777	60	34	images	image	NOUN
ajst-21777	60	35	in	in	ADP
ajst-21777	60	36	the	the	DET
ajst-21777	60	37	feature	feature	NOUN
ajst-21777	60	38	space	space	NOUN
ajst-21777	60	39	.	.	PUNCT
ajst-21777	61	1	this	this	DET
ajst-21777	61	2	approach	approach	NOUN
ajst-21777	61	3	avoids	avoid	VERB
ajst-21777	61	4	confirmation	confirmation	NOUN
ajst-21777	61	5	bias	bias	NOUN
ajst-21777	61	6	from	from	ADP
ajst-21777	61	7	network	network	NOUN
ajst-21777	61	8	predictions	prediction	NOUN
ajst-21777	61	9	and	and	CCONJ
ajst-21777	61	10	effectively	effectively	ADV
ajst-21777	61	11	improves	improve	VERB
ajst-21777	61	12	the	the	DET
ajst-21777	61	13	quality	quality	NOUN
ajst-21777	61	14	of	of	ADP
ajst-21777	61	15	pseudo	pseudo	NOUN
ajst-21777	61	16	-	-	NOUN
ajst-21777	61	17	labels	label	NOUN
ajst-21777	61	18	.	.	PUNCT
ajst-21777	62	1	2.semi	2.semi	X
ajst-21777	62	2	-	-	PUNCT
ajst-21777	62	3	supervised	supervised	ADJ
ajst-21777	62	4	learning	learning	NOUN
ajst-21777	62	5	with	with	ADP
ajst-21777	62	6	unsupervised	unsupervised	ADJ
ajst-21777	62	7	regularization	regularization	NOUN
ajst-21777	62	8	:	:	PUNCT
ajst-21777	62	9	article	article	NOUN
ajst-21777	62	10	data	data	PROPN
ajst-21777	62	11	sources	source	NOUN
ajst-21777	62	12	conclusions	conclusion	NOUN
ajst-21777	62	13	(	(	PUNCT
ajst-21777	62	14	bortsova	bortsova	X
ajst-21777	62	15	,	,	PUNCT
ajst-21777	62	16	dubost	dubost	PROPN
ajst-21777	62	17	,	,	PUNCT
ajst-21777	62	18	hogeweg	hogeweg	PROPN
ajst-21777	62	19	,	,	PUNCT
ajst-21777	62	20	katramados	katramado	NOUN
ajst-21777	62	21	,	,	PUNCT
ajst-21777	62	22	&	&	CCONJ
ajst-21777	62	23	de	de	X
ajst-21777	62	24	bruijne	bruijne	PROPN
ajst-21777	62	25	,	,	PUNCT
ajst-21777	62	26	2019	2019	NUM
ajst-21777	62	27	)	)	PUNCT
ajst-21777	62	28	jsrt	jsrt	NOUN
ajst-21777	62	29	dataset	dataset	NOUN
ajst-21777	62	30	they	they	PRON
ajst-21777	62	31	explore	explore	VERB
ajst-21777	62	32	equivariance	equivariance	NOUN
ajst-21777	62	33	to	to	ADP
ajst-21777	62	34	elastic	elastic	ADJ
ajst-21777	62	35	deformations	deformation	NOUN
ajst-21777	62	36	to	to	PART
ajst-21777	62	37	encourage	encourage	VERB
ajst-21777	62	38	segmentation	segmentation	NOUN
ajst-21777	62	39	consistency	consistency	NOUN
ajst-21777	62	40	between	between	ADP
ajst-21777	62	41	differently	differently	ADV
ajst-21777	62	42	transformed	transform	VERB
ajst-21777	62	43	images	image	NOUN
ajst-21777	62	44	(	(	PUNCT
ajst-21777	62	45	xu	xu	INTJ
ajst-21777	62	46	et	et	PROPN
ajst-21777	62	47	al	al	PROPN
ajst-21777	62	48	.	.	PROPN
ajst-21777	62	49	,	,	PUNCT
ajst-21777	62	50	2021	2021	NUM
ajst-21777	62	51	)	)	PUNCT
ajst-21777	62	52	ucla	ucla	NOUN
ajst-21777	62	53	they	they	PRON
ajst-21777	62	54	propose	propose	VERB
ajst-21777	62	55	such	such	ADJ
ajst-21777	62	56	as	as	ADP
ajst-21777	62	57	the	the	DET
ajst-21777	62	58	novel	novel	ADJ
ajst-21777	62	59	shadow	shadow	NOUN
ajst-21777	62	60	consistency	consistency	NOUN
ajst-21777	62	61	method	method	NOUN
ajst-21777	62	62	proposed	propose	VERB
ajst-21777	62	63	.	.	PUNCT
ajst-21777	63	1	(	(	PUNCT
ajst-21777	63	2	lei	lei	X
ajst-21777	63	3	et	et	PROPN
ajst-21777	63	4	al	al	PROPN
ajst-21777	63	5	.	.	PROPN
ajst-21777	63	6	,	,	PUNCT
ajst-21777	63	7	2021	2021	NUM
ajst-21777	63	8	)	)	PUNCT
ajst-21777	63	9	cardiac	cardiac	ADJ
ajst-21777	63	10	substructure	substructure	NOUN
ajst-21777	63	11	segmentation	segmentation	NOUN
ajst-21777	63	12	,	,	PUNCT
ajst-21777	63	13	abdominal	abdominal	ADJ
ajst-21777	63	14	multi	multi	ADJ
ajst-21777	63	15	-	-	ADJ
ajst-21777	63	16	organ	organ	ADJ
ajst-21777	63	17	segmentation	segmentation	NOUN
ajst-21777	63	18	they	they	PRON
ajst-21777	63	19	propose	propose	VERB
ajst-21777	63	20	a	a	DET
ajst-21777	63	21	co	co	ADJ
ajst-21777	63	22	-	-	NOUN
ajst-21777	63	23	training	training	ADJ
ajst-21777	63	24	framework	framework	NOUN
ajst-21777	63	25	for	for	ADP
ajst-21777	63	26	unpaired	unpaired	ADJ
ajst-21777	63	27	multi	multi	ADJ
ajst-21777	63	28	-	-	ADJ
ajst-21777	63	29	modal	modal	ADJ
ajst-21777	63	30	learning	learning	NOUN
ajst-21777	63	31	,	,	PUNCT
ajst-21777	63	32	involving	involve	VERB
ajst-21777	63	33	two	two	NUM
ajst-21777	63	34	segmentation	segmentation	NOUN
ajst-21777	63	35	networks	network	NOUN
ajst-21777	63	36	and	and	CCONJ
ajst-21777	63	37	two	two	NUM
ajst-21777	63	38	image	image	NOUN
ajst-21777	63	39	translation	translation	NOUN
ajst-21777	63	40	networks	network	NOUN
ajst-21777	63	41	across	across	ADP
ajst-21777	63	42	two	two	NUM
ajst-21777	63	43	modalities	modality	NOUN
ajst-21777	63	44	.	.	PUNCT
ajst-21777	64	1	(	(	PUNCT
ajst-21777	64	2	xiaoyu	xiaoyu	NOUN
ajst-21777	64	3	et	et	PROPN
ajst-21777	64	4	al	al	PROPN
ajst-21777	64	5	.	.	PROPN
ajst-21777	64	6	,	,	PUNCT
ajst-21777	64	7	2022	2022	NUM
ajst-21777	64	8	)	)	PUNCT
ajst-21777	64	9	btcv	btcv	NOUN
ajst-21777	64	10	,	,	PUNCT
ajst-21777	64	11	chaos	chaos	NOUN
ajst-21777	64	12	they	they	PRON
ajst-21777	64	13	leverage	leverage	VERB
ajst-21777	64	14	unpaired	unpaired	ADJ
ajst-21777	64	15	multi	multi	ADJ
ajst-21777	64	16	-	-	ADJ
ajst-21777	64	17	modality	modality	NOUN
ajst-21777	64	18	images	image	NOUN
ajst-21777	64	19	to	to	PART
ajst-21777	64	20	enforce	enforce	VERB
ajst-21777	64	21	cross	cross	ADJ
ajst-21777	64	22	-	-	ADJ
ajst-21777	64	23	modal	modal	ADJ
ajst-21777	64	24	consistency	consistency	NOUN
ajst-21777	64	25	in	in	ADP
ajst-21777	64	26	anatomy	anatomy	NOUN
ajst-21777	64	27	and	and	CCONJ
ajst-21777	64	28	semantic	semantic	ADJ
ajst-21777	64	29	information	information	NOUN
ajst-21777	64	30	(	(	PUNCT
ajst-21777	64	31	luo	luo	PROPN
ajst-21777	64	32	,	,	PUNCT
ajst-21777	64	33	hu	hu	PROPN
ajst-21777	64	34	,	,	PUNCT
ajst-21777	64	35	song	song	NOUN
ajst-21777	64	36	,	,	PUNCT
ajst-21777	64	37	wang	wang	PROPN
ajst-21777	64	38	,	,	PUNCT
ajst-21777	64	39	&	&	CCONJ
ajst-21777	64	40	zhang	zhang	PROPN
ajst-21777	64	41	,	,	PUNCT
ajst-21777	64	42	2022	2022	NUM
ajst-21777	64	43	)	)	PUNCT
ajst-21777	65	1	acdc	acdc	PROPN
ajst-21777	65	2	dataset	dataset	VERB
ajst-21777	65	3	they	they	PRON
ajst-21777	65	4	introduce	introduce	VERB
ajst-21777	65	5	cross	cross	NOUN
ajst-21777	65	6	teaching	teaching	NOUN
ajst-21777	65	7	between	between	ADP
ajst-21777	65	8	cnn	cnn	PROPN
ajst-21777	65	9	and	and	CCONJ
ajst-21777	65	10	transformer	transformer	NOUN
ajst-21777	65	11	,	,	PUNCT
ajst-21777	65	12	implicitly	implicitly	ADV
ajst-21777	65	13	encouraging	encourage	VERB
ajst-21777	65	14	consistency	consistency	NOUN
ajst-21777	65	15	and	and	CCONJ
ajst-21777	65	16	complementarity	complementarity	NOUN
ajst-21777	65	17	between	between	ADP
ajst-21777	65	18	different	different	ADJ
ajst-21777	65	19	networks	network	NOUN
ajst-21777	65	20	.	.	PUNCT
ajst-21777	66	1	(	(	PUNCT
ajst-21777	66	2	huisi	huisi	PROPN
ajst-21777	66	3	,	,	PUNCT
ajst-21777	66	4	chen	chen	PROPN
ajst-21777	66	5	,	,	PUNCT
ajst-21777	66	6	wen	wen	PROPN
ajst-21777	66	7	,	,	PUNCT
ajst-21777	66	8	&	&	CCONJ
ajst-21777	66	9	qin	qin	PROPN
ajst-21777	66	10	,	,	PUNCT
ajst-21777	66	11	2021	2021	NUM
ajst-21777	66	12	)	)	PUNCT
ajst-21777	66	13	kvasir	kvasir	NOUN
ajst-21777	66	14	-	-	PUNCT
ajst-21777	66	15	seg	seg	PROPN
ajst-21777	66	16	,	,	PUNCT
ajst-21777	66	17	cvc	cvc	NOUN
ajst-21777	66	18	-	-	PUNCT
ajst-21777	66	19	clinic	clinic	NOUN
ajst-21777	66	20	db	db	NOUN
ajst-21777	66	21	they	they	PRON
ajst-21777	66	22	introduce	introduce	VERB
ajst-21777	66	23	two	two	NUM
ajst-21777	66	24	discriminators	discriminator	NOUN
ajst-21777	66	25	for	for	ADP
ajst-21777	66	26	predicting	predict	VERB
ajst-21777	66	27	confidence	confidence	NOUN
ajst-21777	66	28	maps	map	NOUN
ajst-21777	66	29	and	and	CCONJ
ajst-21777	66	30	distinguishing	distinguish	VERB
ajst-21777	66	31	between	between	ADP
ajst-21777	66	32	the	the	DET
ajst-21777	66	33	segmentation	segmentation	NOUN
ajst-21777	66	34	results	result	NOUN
ajst-21777	66	35	of	of	ADP
ajst-21777	66	36	labeled	label	VERB
ajst-21777	66	37	and	and	CCONJ
ajst-21777	66	38	unlabeled	unlabeled	ADJ
ajst-21777	66	39	data	datum	NOUN
ajst-21777	66	40	.	.	PUNCT
ajst-21777	67	1	(	(	PUNCT
ajst-21777	67	2	shaojie	shaojie	PROPN
ajst-21777	67	3	,	,	PUNCT
ajst-21777	67	4	zhang	zhang	PROPN
ajst-21777	67	5	,	,	PUNCT
ajst-21777	67	6	&	&	CCONJ
ajst-21777	67	7	yang	yang	PROPN
ajst-21777	67	8	,	,	PUNCT
ajst-21777	67	9	2021	2021	NUM
ajst-21777	67	10	)	)	PUNCT
ajst-21777	67	11	m&ms	m&ms	PROPN
ajst-21777	67	12	dataset	dataset	VERB
ajst-21777	67	13	they	they	PRON
ajst-21777	67	14	employ	employ	VERB
ajst-21777	67	15	a	a	DET
ajst-21777	67	16	u	u	NOUN
ajst-21777	67	17	-	-	NOUN
ajst-21777	67	18	net	net	NOUN
ajst-21777	67	19	as	as	ADP
ajst-21777	67	20	the	the	DET
ajst-21777	67	21	encoder	encoder	NOUN
ajst-21777	67	22	and	and	CCONJ
ajst-21777	67	23	a	a	DET
ajst-21777	67	24	conditional	conditional	ADJ
ajst-21777	67	25	gan	gan	NOUN
ajst-21777	67	26	as	as	ADP
ajst-21777	67	27	the	the	DET
ajst-21777	67	28	decoder	decoder	NOUN
ajst-21777	67	29	.	.	PUNCT
ajst-21777	68	1	by	by	ADP
ajst-21777	68	2	reconstructing	reconstruct	VERB
ajst-21777	68	3	images	image	NOUN
ajst-21777	68	4	from	from	ADP
ajst-21777	68	5	the	the	DET
ajst-21777	68	6	encoder	encoder	NOUN
ajst-21777	68	7	's	's	PART
ajst-21777	68	8	predictive	predictive	ADJ
ajst-21777	68	9	results	result	NOUN
ajst-21777	68	10	,	,	PUNCT
ajst-21777	68	11	the	the	DET
ajst-21777	68	12	encoder	encoder	NOUN
ajst-21777	68	13	can	can	AUX
ajst-21777	68	14	estimate	estimate	VERB
ajst-21777	68	15	the	the	DET
ajst-21777	68	16	distribution	distribution	NOUN
ajst-21777	68	17	of	of	ADP
ajst-21777	68	18	segmentation	segmentation	NOUN
ajst-21777	68	19	maps	map	NOUN
ajst-21777	68	20	.	.	PUNCT
ajst-21777	69	1	(	(	PUNCT
ajst-21777	69	2	jinyong	jinyong	NOUN
ajst-21777	69	3	,	,	PUNCT
ajst-21777	69	4	ding	ding	NOUN
ajst-21777	69	5	,	,	PUNCT
ajst-21777	69	6	&	&	CCONJ
ajst-21777	69	7	deng	deng	PROPN
ajst-21777	69	8	,	,	PUNCT
ajst-21777	69	9	2022	2022	NUM
ajst-21777	69	10	)	)	PUNCT
ajst-21777	69	11	drive	drive	NOUN
ajst-21777	69	12	,	,	PUNCT
ajst-21777	69	13	stare	stare	NOUN
ajst-21777	69	14	,	,	PUNCT
ajst-21777	69	15	chase	chase	NOUN
ajst-21777	69	16	db1	db1	NOUN
ajst-21777	69	17	they	they	PRON
ajst-21777	69	18	integrate	integrate	VERB
ajst-21777	69	19	a	a	DET
ajst-21777	69	20	leaking	leak	VERB
ajst-21777	69	21	gan	gan	NOUN
ajst-21777	69	22	into	into	ADP
ajst-21777	69	23	the	the	DET
ajst-21777	69	24	semi	semi	ADJ
ajst-21777	69	25	-	-	ADJ
ajst-21777	69	26	supervised	supervised	ADJ
ajst-21777	69	27	framework	framework	NOUN
ajst-21777	69	28	,	,	PUNCT
ajst-21777	69	29	which	which	PRON
ajst-21777	69	30	pollutes	pollute	VERB
ajst-21777	69	31	the	the	DET
ajst-21777	69	32	discriminator	discriminator	NOUN
ajst-21777	69	33	by	by	ADP
ajst-21777	69	34	leaking	leak	VERB
ajst-21777	69	35	information	information	NOUN
ajst-21777	69	36	from	from	ADP
ajst-21777	69	37	the	the	DET
ajst-21777	69	38	generator	generator	NOUN
ajst-21777	69	39	for	for	ADP
ajst-21777	69	40	more	more	ADJ
ajst-21777	69	41	moderate	moderate	ADJ
ajst-21777	69	42	generations	generation	NOUN
ajst-21777	69	43	.	.	PUNCT
ajst-21777	70	1	(	(	PUNCT
ajst-21777	70	2	chaitanya	chaitanya	PROPN
ajst-21777	70	3	et	et	PROPN
ajst-21777	70	4	al	al	PROPN
ajst-21777	70	5	.	.	PROPN
ajst-21777	70	6	,	,	PUNCT
ajst-21777	70	7	2019	2019	NUM
ajst-21777	70	8	)	)	PUNCT
ajst-21777	70	9	acdc	acdc	NOUN
ajst-21777	70	10	dataset	dataset	VERB
ajst-21777	70	11	they	they	PRON
ajst-21777	70	12	propose	propose	VERB
ajst-21777	70	13	a	a	DET
ajst-21777	70	14	novel	novel	ADJ
ajst-21777	70	15	task	task	NOUN
ajst-21777	70	16	-	-	PUNCT
ajst-21777	70	17	driven	drive	VERB
ajst-21777	70	18	data	datum	NOUN
ajst-21777	70	19	augmentation	augmentation	NOUN
ajst-21777	70	20	method	method	NOUN
ajst-21777	70	21	to	to	PART
ajst-21777	70	22	synthesize	synthesize	VERB
ajst-21777	70	23	new	new	ADJ
ajst-21777	70	24	training	training	NOUN
ajst-21777	70	25	examples	example	NOUN
ajst-21777	70	26	.	.	PUNCT
ajst-21777	71	1	a	a	DET
ajst-21777	71	2	generative	generative	ADJ
ajst-21777	71	3	network	network	NOUN
ajst-21777	71	4	explicitly	explicitly	ADV
ajst-21777	71	5	applies	apply	VERB
ajst-21777	71	6	deformation	deformation	NOUN
ajst-21777	71	7	fields	field	NOUN
ajst-21777	71	8	and	and	CCONJ
ajst-21777	71	9	additional	additional	ADJ
ajst-21777	71	10	strength	strength	NOUN
ajst-21777	71	11	masks	mask	NOUN
ajst-21777	71	12	to	to	PART
ajst-21777	71	13	model	model	VERB
ajst-21777	71	14	shape	shape	NOUN
ajst-21777	71	15	and	and	CCONJ
ajst-21777	71	16	strength	strength	NOUN
ajst-21777	71	17	changes	change	NOUN
ajst-21777	71	18	.	.	PUNCT
ajst-21777	72	1	3.semi	3.semi	NUM
ajst-21777	72	2	-	-	PUNCT
ajst-21777	72	3	supervised	supervised	ADJ
ajst-21777	72	4	learning	learning	NOUN
ajst-21777	72	5	with	with	ADP
ajst-21777	72	6	knowledge	knowledge	NOUN
ajst-21777	72	7	priors	prior	NOUN
ajst-21777	72	8	article	article	PROPN
ajst-21777	72	9	data	data	PROPN
ajst-21777	72	10	sources	source	NOUN
ajst-21777	72	11	conclusions	conclusion	NOUN
ajst-21777	72	12	(	(	PUNCT
ajst-21777	72	13	zheng	zheng	PROPN
ajst-21777	72	14	et	et	PROPN
ajst-21777	72	15	al	al	PROPN
ajst-21777	72	16	.	.	PROPN
ajst-21777	72	17	,	,	PUNCT
ajst-21777	72	18	2019	2019	NUM
ajst-21777	72	19	)	)	PUNCT
ajst-21777	72	20	lits	lit	NOUN
ajst-21777	72	21	dataset	dataset	VERB
ajst-21777	72	22	they	they	PRON
ajst-21777	72	23	introduces	introduce	VERB
ajst-21777	72	24	the	the	DET
ajst-21777	72	25	use	use	NOUN
ajst-21777	72	26	of	of	ADP
ajst-21777	72	27	probabilistic	probabilistic	ADJ
ajst-21777	72	28	atlases	atlas	NOUN
ajst-21777	72	29	(	(	PUNCT
ajst-21777	72	30	pa	pa	NOUN
ajst-21777	72	31	)	)	PUNCT
ajst-21777	72	32	for	for	ADP
ajst-21777	72	33	medical	medical	ADJ
ajst-21777	72	34	image	image	NOUN
ajst-21777	72	35	segmentation	segmentation	NOUN
ajst-21777	72	36	(	(	PUNCT
ajst-21777	72	37	xinrong	xinrong	PROPN
ajst-21777	72	38	,	,	PUNCT
ajst-21777	72	39	zeng	zeng	PROPN
ajst-21777	72	40	,	,	PUNCT
ajst-21777	72	41	xu	xu	PROPN
ajst-21777	72	42	,	,	PUNCT
ajst-21777	72	43	&	&	CCONJ
ajst-21777	72	44	shi	shi	PROPN
ajst-21777	72	45	,	,	PUNCT
ajst-21777	72	46	2021	2021	NUM
ajst-21777	72	47	)	)	PUNCT
ajst-21777	72	48	hippocampus	hippocampus	NOUN
ajst-21777	72	49	subset	subset	NOUN
ajst-21777	72	50	of	of	ADP
ajst-21777	72	51	medical	medical	ADJ
ajst-21777	72	52	segmentation	segmentation	NOUN
ajst-21777	72	53	decathlon	decathlon	NOUN
ajst-21777	72	54	self	self	NOUN
ajst-21777	72	55	-	-	PUNCT
ajst-21777	72	56	supervised	supervise	VERB
ajst-21777	72	57	image	image	NOUN
ajst-21777	72	58	-	-	PUNCT
ajst-21777	72	59	level	level	NOUN
ajst-21777	72	60	and	and	CCONJ
ajst-21777	72	61	supervised	supervise	VERB
ajst-21777	72	62	pixel	pixel	ADJ
ajst-21777	72	63	-	-	PUNCT
ajst-21777	72	64	level	level	NOUN
ajst-21777	72	65	contrastive	contrastive	ADJ
ajst-21777	72	66	pretraining	pretraine	VERB
ajst-21777	72	67	are	be	AUX
ajst-21777	72	68	introduced	introduce	VERB
ajst-21777	72	69	into	into	ADP
ajst-21777	72	70	the	the	DET
ajst-21777	72	71	semi	semi	ADJ
ajst-21777	72	72	-	-	ADJ
ajst-21777	72	73	supervised	supervised	ADJ
ajst-21777	72	74	framework	framework	NOUN
ajst-21777	72	75	for	for	ADP
ajst-21777	72	76	improved	improved	ADJ
ajst-21777	72	77	feature	feature	NOUN
ajst-21777	72	78	representation	representation	NOUN
ajst-21777	72	79	in	in	ADP
ajst-21777	72	80	medical	medical	ADJ
ajst-21777	72	81	image	image	NOUN
ajst-21777	72	82	segmentation	segmentation	NOUN
ajst-21777	72	83	.	.	PUNCT
ajst-21777	73	1	(	(	PUNCT
ajst-21777	73	2	jiacheng	jiacheng	PROPN
ajst-21777	73	3	et	et	PROPN
ajst-21777	73	4	al	al	PROPN
ajst-21777	73	5	.	.	PROPN
ajst-21777	73	6	,	,	PUNCT
ajst-21777	73	7	2022	2022	NUM
ajst-21777	73	8	)	)	PUNCT
ajst-21777	73	9	pddca	pddca	NOUN
ajst-21777	73	10	they	they	PRON
ajst-21777	73	11	use	use	VERB
ajst-21777	73	12	superpixels	superpixel	NOUN
ajst-21777	73	13	to	to	PART
ajst-21777	73	14	separate	separate	VERB
ajst-21777	73	15	images	image	NOUN
ajst-21777	73	16	into	into	ADP
ajst-21777	73	17	regions	region	NOUN
ajst-21777	73	18	and	and	CCONJ
ajst-21777	73	19	learn	learn	VERB
ajst-21777	73	20	intraand	intraand	NOUN
ajst-21777	73	21	inter	inter	ADJ
ajst-21777	73	22	-	-	ADJ
ajst-21777	73	23	organ	organ	ADJ
ajst-21777	73	24	representations	representation	NOUN
ajst-21777	73	25	based	base	VERB
ajst-21777	73	26	on	on	ADP
ajst-21777	73	27	contrastive	contrastive	ADJ
ajst-21777	73	28	learning	learning	NOUN
ajst-21777	73	29	.	.	PUNCT
ajst-21777	74	1	this	this	DET
ajst-21777	74	2	approach	approach	NOUN
ajst-21777	74	3	is	be	AUX
ajst-21777	74	4	used	use	VERB
ajst-21777	74	5	to	to	PART
ajst-21777	74	6	initialize	initialize	VERB
ajst-21777	74	7	the	the	DET
ajst-21777	74	8	semi	semi	ADJ
ajst-21777	74	9	-	-	ADJ
ajst-21777	74	10	supervised	supervised	ADJ
ajst-21777	74	11	framework	framework	NOUN
ajst-21777	74	12	,	,	PUNCT
ajst-21777	74	13	resulting	result	VERB
ajst-21777	74	14	in	in	ADP
ajst-21777	74	15	significant	significant	ADJ
ajst-21777	74	16	performance	performance	NOUN
ajst-21777	74	17	improvement	improvement	NOUN
ajst-21777	74	18	.	.	PUNCT
ajst-21777	75	1	(	(	PUNCT
ajst-21777	75	2	yang	yang	PROPN
ajst-21777	75	3	et	et	PROPN
ajst-21777	75	4	al	al	PROPN
ajst-21777	75	5	.	.	PROPN
ajst-21777	75	6	,	,	PUNCT
ajst-21777	75	7	2022	2022	NUM
ajst-21777	75	8	)	)	PUNCT
ajst-21777	75	9	private	private	ADJ
ajst-21777	75	10	they	they	PRON
ajst-21777	75	11	incorporates	incorporate	VERB
ajst-21777	75	12	a	a	DET
ajst-21777	75	13	self	self	NOUN
ajst-21777	75	14	-	-	PUNCT
ajst-21777	75	15	supervised	supervise	VERB
ajst-21777	75	16	jigsaw	jigsaw	NOUN
ajst-21777	75	17	puzzle	puzzle	NOUN
ajst-21777	75	18	task	task	NOUN
ajst-21777	75	19	into	into	ADP
ajst-21777	75	20	the	the	DET
ajst-21777	75	21	semisupervised	semisupervise	VERB
ajst-21777	75	22	training	training	NOUN
ajst-21777	75	23	process	process	NOUN
ajst-21777	75	24	to	to	PART
ajst-21777	75	25	enhance	enhance	VERB
ajst-21777	75	26	feature	feature	NOUN
ajst-21777	75	27	representation	representation	NOUN
ajst-21777	75	28	in	in	ADP
ajst-21777	75	29	medical	medical	ADJ
ajst-21777	75	30	image	image	NOUN
ajst-21777	75	31	segmentation	segmentation	NOUN
ajst-21777	75	32	(	(	PUNCT
ajst-21777	75	33	huisi	huisi	PROPN
ajst-21777	75	34	,	,	PUNCT
ajst-21777	75	35	wang	wang	PROPN
ajst-21777	75	36	,	,	PUNCT
ajst-21777	75	37	song	song	PROPN
ajst-21777	75	38	,	,	PUNCT
ajst-21777	75	39	yang	yang	PROPN
ajst-21777	75	40	,	,	PUNCT
ajst-21777	75	41	&	&	CCONJ
ajst-21777	75	42	qin	qin	PROPN
ajst-21777	75	43	,	,	PUNCT
ajst-21777	75	44	2022	2022	NUM
ajst-21777	75	45	)	)	PUNCT
ajst-21777	75	46	dsb	dsb	NOUN
ajst-21777	75	47	,	,	PUNCT
ajst-21777	75	48	monuseg	monuseg	NOUN
ajst-21777	75	49	they	they	PRON
ajst-21777	75	50	introduces	introduce	VERB
ajst-21777	75	51	patchand	patchand	NOUN
ajst-21777	75	52	pixel	pixel	ADJ
ajst-21777	75	53	-	-	PUNCT
ajst-21777	75	54	level	level	NOUN
ajst-21777	75	55	dense	dense	ADJ
ajst-21777	75	56	contrastive	contrastive	ADJ
ajst-21777	75	57	loss	loss	NOUN
ajst-21777	75	58	to	to	PART
ajst-21777	75	59	align	align	VERB
ajst-21777	75	60	features	feature	NOUN
ajst-21777	75	61	from	from	ADP
ajst-21777	75	62	teacher	teacher	NOUN
ajst-21777	75	63	and	and	CCONJ
ajst-21777	75	64	student	student	NOUN
ajst-21777	75	65	models	model	NOUN
ajst-21777	75	66	.	.	PUNCT
ajst-21777	76	1	additionally	additionally	ADV
ajst-21777	76	2	,	,	PUNCT
ajst-21777	76	3	entropy	entropy	PROPN
ajst-21777	76	4	minimization	minimization	NOUN
ajst-21777	76	5	is	be	AUX
ajst-21777	76	6	used	use	VERB
ajst-21777	76	7	in	in	ADP
ajst-21777	76	8	the	the	DET
ajst-21777	76	9	student	student	NOUN
ajst-21777	76	10	branch	branch	NOUN
ajst-21777	76	11	semi	semi	ADJ
ajst-21777	76	12	-	-	ADJ
ajst-21777	76	13	supervised	supervised	ADJ
ajst-21777	76	14	learning	learning	NOUN
ajst-21777	76	15	methods	method	NOUN
ajst-21777	76	16	effectively	effectively	ADV
ajst-21777	76	17	harness	harness	VERB
ajst-21777	76	18	the	the	DET
ajst-21777	76	19	information	information	NOUN
ajst-21777	76	20	within	within	ADP
ajst-21777	76	21	unlabeled	unlabeled	ADJ
ajst-21777	76	22	data	datum	NOUN
ajst-21777	76	23	,	,	PUNCT
ajst-21777	76	24	offering	offer	VERB
ajst-21777	76	25	a	a	DET
ajst-21777	76	26	potent	potent	ADJ
ajst-21777	76	27	tool	tool	NOUN
ajst-21777	76	28	for	for	ADP
ajst-21777	76	29	medical	medical	ADJ
ajst-21777	76	30	image	image	NOUN
ajst-21777	76	31	segmentation	segmentation	NOUN
ajst-21777	76	32	.	.	PUNCT
ajst-21777	77	1	nevertheless	nevertheless	ADV
ajst-21777	77	2	,	,	PUNCT
ajst-21777	77	3	semi	semi	ADJ
ajst-21777	77	4	-	-	ADJ
ajst-21777	77	5	supervised	supervised	ADJ
ajst-21777	77	6	medical	medical	ADJ
ajst-21777	77	7	image	image	NOUN
ajst-21777	77	8	segmentation	segmentation	NOUN
ajst-21777	77	9	encounters	encounter	VERB
ajst-21777	77	10	several	several	ADJ
ajst-21777	77	11	challenges	challenge	NOUN
ajst-21777	77	12	,	,	PUNCT
ajst-21777	77	13	150	150	NUM
ajst-21777	77	14	such	such	ADJ
ajst-21777	77	15	as	as	ADP
ajst-21777	77	16	designing	design	VERB
ajst-21777	77	17	more	more	ADV
ajst-21777	77	18	effective	effective	ADJ
ajst-21777	77	19	strategies	strategy	NOUN
ajst-21777	77	20	to	to	PART
ajst-21777	77	21	utilize	utilize	VERB
ajst-21777	77	22	unlabeled	unlabeled	ADJ
ajst-21777	77	23	data	datum	NOUN
ajst-21777	77	24	,	,	PUNCT
ajst-21777	77	25	addressing	address	VERB
ajst-21777	77	26	inconsistencies	inconsistency	NOUN
ajst-21777	77	27	in	in	ADP
ajst-21777	77	28	data	datum	NOUN
ajst-21777	77	29	distribution	distribution	NOUN
ajst-21777	77	30	,	,	PUNCT
ajst-21777	77	31	and	and	CCONJ
ajst-21777	77	32	enhancing	enhance	VERB
ajst-21777	77	33	model	model	NOUN
ajst-21777	77	34	adaptability	adaptability	NOUN
ajst-21777	77	35	across	across	ADP
ajst-21777	77	36	different	different	ADJ
ajst-21777	77	37	types	type	NOUN
ajst-21777	77	38	of	of	ADP
ajst-21777	77	39	medical	medical	ADJ
ajst-21777	77	40	images	image	NOUN
ajst-21777	77	41	.	.	PUNCT
ajst-21777	78	1	future	future	ADJ
ajst-21777	78	2	research	research	NOUN
ajst-21777	78	3	must	must	AUX
ajst-21777	78	4	delve	delve	VERB
ajst-21777	78	5	into	into	ADP
ajst-21777	78	6	more	more	ADJ
ajst-21777	78	7	innovative	innovative	ADJ
ajst-21777	78	8	methods	method	NOUN
ajst-21777	78	9	to	to	PART
ajst-21777	78	10	surmount	surmount	VERB
ajst-21777	78	11	these	these	DET
ajst-21777	78	12	challenges	challenge	NOUN
ajst-21777	78	13	and	and	CCONJ
ajst-21777	78	14	further	far	ADV
ajst-21777	78	15	improve	improve	VERB
ajst-21777	78	16	the	the	DET
ajst-21777	78	17	performance	performance	NOUN
ajst-21777	78	18	of	of	ADP
ajst-21777	78	19	semi	semi	ADJ
ajst-21777	78	20	-	-	ADJ
ajst-21777	78	21	supervised	supervised	ADJ
ajst-21777	78	22	medical	medical	ADJ
ajst-21777	78	23	image	image	NOUN
ajst-21777	78	24	segmentation	segmentation	NOUN
ajst-21777	78	25	.	.	PUNCT
ajst-21777	79	1	3	3	X
ajst-21777	79	2	.	.	X
ajst-21777	79	3	u	u	ADJ
ajst-21777	79	4	-	-	ADJ
ajst-21777	79	5	net	net	ADJ
ajst-21777	79	6	network	network	NOUN
ajst-21777	79	7	and	and	CCONJ
ajst-21777	79	8	its	its	PRON
ajst-21777	79	9	variants	variant	NOUN
ajst-21777	79	10	since	since	SCONJ
ajst-21777	79	11	its	its	PRON
ajst-21777	79	12	inception	inception	NOUN
ajst-21777	79	13	,	,	PUNCT
ajst-21777	79	14	u	u	NOUN
ajst-21777	79	15	-	-	PUNCT
ajst-21777	79	16	net(ronneberger	net(ronneberger	ADV
ajst-21777	79	17	et	et	PROPN
ajst-21777	79	18	al	al	PROPN
ajst-21777	79	19	.	.	PROPN
ajst-21777	79	20	,	,	PUNCT
ajst-21777	79	21	2015	2015	NUM
ajst-21777	79	22	)	)	PUNCT
ajst-21777	79	23	has	have	AUX
ajst-21777	79	24	been	be	AUX
ajst-21777	79	25	extensively	extensively	ADV
ajst-21777	79	26	utilized	utilize	VERB
ajst-21777	79	27	in	in	ADP
ajst-21777	79	28	various	various	ADJ
ajst-21777	79	29	medical	medical	ADJ
ajst-21777	79	30	image	image	NOUN
ajst-21777	79	31	segmentation	segmentation	NOUN
ajst-21777	79	32	tasks	task	NOUN
ajst-21777	79	33	such	such	ADJ
ajst-21777	79	34	as	as	ADP
ajst-21777	79	35	cell	cell	NOUN
ajst-21777	79	36	segmentation	segmentation	NOUN
ajst-21777	79	37	,	,	PUNCT
ajst-21777	79	38	organ	organ	NOUN
ajst-21777	79	39	localization	localization	NOUN
ajst-21777	79	40	,	,	PUNCT
ajst-21777	79	41	and	and	CCONJ
ajst-21777	79	42	lesion	lesion	NOUN
ajst-21777	79	43	detection	detection	NOUN
ajst-21777	79	44	,	,	PUNCT
ajst-21777	79	45	thus	thus	ADV
ajst-21777	79	46	becoming	become	VERB
ajst-21777	79	47	an	an	DET
ajst-21777	79	48	essential	essential	ADJ
ajst-21777	79	49	tool	tool	NOUN
ajst-21777	79	50	in	in	ADP
ajst-21777	79	51	the	the	DET
ajst-21777	79	52	domain	domain	NOUN
ajst-21777	79	53	of	of	ADP
ajst-21777	79	54	medical	medical	ADJ
ajst-21777	79	55	image	image	NOUN
ajst-21777	79	56	analysis(anand	analysis(anand	PROPN
ajst-21777	79	57	,	,	PUNCT
ajst-21777	79	58	gupta	gupta	PROPN
ajst-21777	79	59	,	,	PUNCT
ajst-21777	79	60	koundal	koundal	NOUN
ajst-21777	79	61	,	,	PUNCT
ajst-21777	79	62	&	&	CCONJ
ajst-21777	79	63	singh	singh	PROPN
ajst-21777	79	64	,	,	PUNCT
ajst-21777	79	65	2023	2023	NUM
ajst-21777	79	66	;	;	PUNCT
ajst-21777	79	67	du	du	PROPN
ajst-21777	79	68	et	et	PROPN
ajst-21777	79	69	al	al	PROPN
ajst-21777	79	70	.	.	PROPN
ajst-21777	79	71	,	,	PUNCT
ajst-21777	79	72	2020	2020	NUM
ajst-21777	79	73	)	)	PUNCT
ajst-21777	79	74	.	.	PUNCT
ajst-21777	80	1	u	u	X
ajst-21777	80	2	-	-	NOUN
ajst-21777	80	3	net	net	NOUN
ajst-21777	80	4	is	be	AUX
ajst-21777	80	5	distinguished	distinguish	VERB
ajst-21777	80	6	by	by	ADP
ajst-21777	80	7	its	its	PRON
ajst-21777	80	8	unique	unique	ADJ
ajst-21777	80	9	u	u	ADJ
ajst-21777	80	10	-	-	ADJ
ajst-21777	80	11	shaped	shape	VERB
ajst-21777	80	12	architecture	architecture	NOUN
ajst-21777	80	13	,	,	PUNCT
ajst-21777	80	14	as	as	SCONJ
ajst-21777	80	15	illustrated	illustrate	VERB
ajst-21777	80	16	in	in	ADP
ajst-21777	80	17	figure	figure	NOUN
ajst-21777	80	18	3.1	3.1	NUM
ajst-21777	80	19	,	,	PUNCT
ajst-21777	80	20	which	which	PRON
ajst-21777	80	21	includes	include	VERB
ajst-21777	80	22	a	a	DET
ajst-21777	80	23	contracting	contracting	NOUN
ajst-21777	80	24	pathway	pathway	NOUN
ajst-21777	80	25	for	for	ADP
ajst-21777	80	26	capturing	capture	VERB
ajst-21777	80	27	contextual	contextual	ADJ
ajst-21777	80	28	information	information	NOUN
ajst-21777	80	29	and	and	CCONJ
ajst-21777	80	30	a	a	DET
ajst-21777	80	31	symmetric	symmetric	ADJ
ajst-21777	80	32	expanding	expand	VERB
ajst-21777	80	33	pathway	pathway	NOUN
ajst-21777	80	34	for	for	ADP
ajst-21777	80	35	precise	precise	ADJ
ajst-21777	80	36	localization	localization	NOUN
ajst-21777	80	37	.	.	PUNCT
ajst-21777	81	1	this	this	DET
ajst-21777	81	2	configuration	configuration	NOUN
ajst-21777	81	3	enables	enable	VERB
ajst-21777	81	4	the	the	DET
ajst-21777	81	5	network	network	NOUN
ajst-21777	81	6	to	to	PART
ajst-21777	81	7	effectively	effectively	ADV
ajst-21777	81	8	capture	capture	VERB
ajst-21777	81	9	features	feature	NOUN
ajst-21777	81	10	across	across	ADP
ajst-21777	81	11	different	different	ADJ
ajst-21777	81	12	resolutions	resolution	NOUN
ajst-21777	81	13	from	from	ADP
ajst-21777	81	14	high	high	ADJ
ajst-21777	81	15	to	to	PART
ajst-21777	81	16	low	low	ADJ
ajst-21777	81	17	.	.	PUNCT
ajst-21777	82	1	u	u	ADJ
ajst-21777	82	2	-	-	ADJ
ajst-21777	82	3	net	net	ADJ
ajst-21777	82	4	enhances	enhance	VERB
ajst-21777	82	5	segmentation	segmentation	NOUN
ajst-21777	82	6	accuracy	accuracy	NOUN
ajst-21777	82	7	by	by	ADP
ajst-21777	82	8	incorporating	incorporate	VERB
ajst-21777	82	9	skip	skip	ADJ
ajst-21777	82	10	connections	connection	NOUN
ajst-21777	82	11	that	that	PRON
ajst-21777	82	12	merge	merge	VERB
ajst-21777	82	13	feature	feature	NOUN
ajst-21777	82	14	maps	map	NOUN
ajst-21777	82	15	from	from	ADP
ajst-21777	82	16	the	the	DET
ajst-21777	82	17	contracting	contracting	NOUN
ajst-21777	82	18	pathway	pathway	NOUN
ajst-21777	82	19	with	with	ADP
ajst-21777	82	20	those	those	PRON
ajst-21777	82	21	from	from	ADP
ajst-21777	82	22	the	the	DET
ajst-21777	82	23	expanding	expand	VERB
ajst-21777	82	24	pathway	pathway	NOUN
ajst-21777	82	25	,	,	PUNCT
ajst-21777	82	26	not	not	PART
ajst-21777	82	27	only	only	ADV
ajst-21777	82	28	facilitating	facilitate	VERB
ajst-21777	82	29	the	the	DET
ajst-21777	82	30	transmission	transmission	NOUN
ajst-21777	82	31	of	of	ADP
ajst-21777	82	32	contextual	contextual	ADJ
ajst-21777	82	33	information	information	NOUN
ajst-21777	82	34	deep	deep	ADV
ajst-21777	82	35	within	within	ADP
ajst-21777	82	36	the	the	DET
ajst-21777	82	37	network	network	NOUN
ajst-21777	82	38	but	but	CCONJ
ajst-21777	82	39	also	also	ADV
ajst-21777	82	40	restoring	restore	VERB
ajst-21777	82	41	image	image	NOUN
ajst-21777	82	42	details	detail	NOUN
ajst-21777	82	43	.	.	PUNCT
ajst-21777	83	1	the	the	DET
ajst-21777	83	2	success	success	NOUN
ajst-21777	83	3	of	of	ADP
ajst-21777	83	4	u	u	NOUN
ajst-21777	83	5	-	-	NOUN
ajst-21777	83	6	net	net	NOUN
ajst-21777	83	7	is	be	AUX
ajst-21777	83	8	not	not	PART
ajst-21777	83	9	only	only	ADV
ajst-21777	83	10	due	due	ADJ
ajst-21777	83	11	to	to	ADP
ajst-21777	83	12	its	its	PRON
ajst-21777	83	13	inherent	inherent	ADJ
ajst-21777	83	14	performance	performance	NOUN
ajst-21777	83	15	but	but	CCONJ
ajst-21777	83	16	also	also	ADV
ajst-21777	83	17	because	because	SCONJ
ajst-21777	83	18	it	it	PRON
ajst-21777	83	19	has	have	AUX
ajst-21777	83	20	inspired	inspire	VERB
ajst-21777	83	21	a	a	DET
ajst-21777	83	22	series	series	NOUN
ajst-21777	83	23	of	of	ADP
ajst-21777	83	24	research	research	NOUN
ajst-21777	83	25	focused	focus	VERB
ajst-21777	83	26	on	on	ADP
ajst-21777	83	27	improvements	improvement	NOUN
ajst-21777	83	28	and	and	CCONJ
ajst-21777	83	29	variants	variant	NOUN
ajst-21777	83	30	of	of	ADP
ajst-21777	83	31	the	the	DET
ajst-21777	83	32	u	u	ADJ
ajst-21777	83	33	-	-	ADJ
ajst-21777	83	34	net	net	ADJ
ajst-21777	83	35	structure	structure	NOUN
ajst-21777	83	36	,	,	PUNCT
ajst-21777	83	37	thus	thus	ADV
ajst-21777	83	38	driving	drive	VERB
ajst-21777	83	39	the	the	DET
ajst-21777	83	40	rapid	rapid	ADJ
ajst-21777	83	41	advancement	advancement	NOUN
ajst-21777	83	42	of	of	ADP
ajst-21777	83	43	medical	medical	ADJ
ajst-21777	83	44	image	image	NOUN
ajst-21777	83	45	analysis	analysis	NOUN
ajst-21777	83	46	technologies	technology	NOUN
ajst-21777	83	47	.	.	PUNCT
ajst-21777	84	1	table	table	NOUN
ajst-21777	84	2	3.1	3.1	NUM
ajst-21777	84	3	offers	offer	VERB
ajst-21777	84	4	a	a	DET
ajst-21777	84	5	comparative	comparative	ADJ
ajst-21777	84	6	explanation	explanation	NOUN
ajst-21777	84	7	of	of	ADP
ajst-21777	84	8	u	u	NOUN
ajst-21777	84	9	-	-	NOUN
ajst-21777	84	10	net	net	ADJ
ajst-21777	84	11	and	and	CCONJ
ajst-21777	84	12	its	its	PRON
ajst-21777	84	13	variants	variant	NOUN
ajst-21777	84	14	.	.	PUNCT
ajst-21777	85	1	table	table	NOUN
ajst-21777	85	2	3.1	3.1	NUM
ajst-21777	85	3	.	.	PUNCT
ajst-21777	86	1	comparison	comparison	NOUN
ajst-21777	86	2	of	of	ADP
ajst-21777	86	3	improved	improved	ADJ
ajst-21777	86	4	u	u	ADJ
ajst-21777	86	5	-	-	ADJ
ajst-21777	86	6	net	net	ADJ
ajst-21777	86	7	algorithms	algorithm	NOUN
ajst-21777	86	8	using	use	VERB
ajst-21777	86	9	multi	multi	ADJ
ajst-21777	86	10	-	-	ADJ
ajst-21777	86	11	scale	scale	ADJ
ajst-21777	86	12	feature	feature	NOUN
ajst-21777	86	13	fusion	fusion	NOUN
ajst-21777	86	14	and	and	CCONJ
ajst-21777	86	15	attention	attention	NOUN
ajst-21777	86	16	mechanism	mechanism	NOUN
ajst-21777	86	17	network	network	NOUN
ajst-21777	86	18	advantage	advantage	NOUN
ajst-21777	86	19	disadvantage	disadvantage	NOUN
ajst-21777	86	20	u	u	NOUN
ajst-21777	86	21	-	-	NOUN
ajst-21777	86	22	net	net	ADJ
ajst-21777	86	23	(	(	PUNCT
ajst-21777	86	24	ronneberger	ronneberger	NOUN
ajst-21777	86	25	et	et	PROPN
ajst-21777	86	26	al	al	PROPN
ajst-21777	86	27	.	.	PROPN
ajst-21777	86	28	,	,	PUNCT
ajst-21777	86	29	2015	2015	NUM
ajst-21777	86	30	)	)	PUNCT
ajst-21777	86	31	by	by	ADP
ajst-21777	86	32	adding	add	VERB
ajst-21777	86	33	skip	skip	ADJ
ajst-21777	86	34	connections	connection	NOUN
ajst-21777	86	35	between	between	ADP
ajst-21777	86	36	the	the	DET
ajst-21777	86	37	encoder	encoder	NOUN
ajst-21777	86	38	and	and	CCONJ
ajst-21777	86	39	decoder	decoder	NOUN
ajst-21777	86	40	,	,	PUNCT
ajst-21777	86	41	it	it	PRON
ajst-21777	86	42	captures	capture	VERB
ajst-21777	86	43	feature	feature	NOUN
ajst-21777	86	44	information	information	NOUN
ajst-21777	86	45	lost	lose	VERB
ajst-21777	86	46	due	due	ADJ
ajst-21777	86	47	to	to	ADP
ajst-21777	86	48	downsampling	downsample	VERB
ajst-21777	86	49	.	.	PUNCT
ajst-21777	87	1	the	the	DET
ajst-21777	87	2	skip	skip	ADJ
ajst-21777	87	3	connection	connection	NOUN
ajst-21777	87	4	method	method	NOUN
ajst-21777	87	5	is	be	AUX
ajst-21777	87	6	too	too	ADV
ajst-21777	87	7	simplistic	simplistic	ADJ
ajst-21777	87	8	and	and	CCONJ
ajst-21777	87	9	can	can	AUX
ajst-21777	87	10	not	not	PART
ajst-21777	87	11	fully	fully	ADV
ajst-21777	87	12	extract	extract	VERB
ajst-21777	87	13	feature	feature	NOUN
ajst-21777	87	14	information	information	NOUN
ajst-21777	87	15	.	.	PUNCT
ajst-21777	88	1	u	u	X
ajst-21777	88	2	-	-	PUNCT
ajst-21777	88	3	net++	net++	X
ajst-21777	88	4	(	(	PUNCT
ajst-21777	88	5	zhou	zhou	PROPN
ajst-21777	88	6	et	et	PROPN
ajst-21777	88	7	al	al	PROPN
ajst-21777	88	8	.	.	PROPN
ajst-21777	88	9	,	,	PUNCT
ajst-21777	88	10	2018	2018	NUM
ajst-21777	88	11	)	)	PUNCT
ajst-21777	88	12	by	by	ADP
ajst-21777	88	13	employing	employ	VERB
ajst-21777	88	14	a	a	DET
ajst-21777	88	15	series	series	NOUN
ajst-21777	88	16	of	of	ADP
ajst-21777	88	17	nested	nested	ADJ
ajst-21777	88	18	dense	dense	ADJ
ajst-21777	88	19	skip	skip	ADJ
ajst-21777	88	20	connections	connection	NOUN
ajst-21777	88	21	and	and	CCONJ
ajst-21777	88	22	deep	deep	ADJ
ajst-21777	88	23	supervision	supervision	NOUN
ajst-21777	88	24	,	,	PUNCT
ajst-21777	88	25	the	the	DET
ajst-21777	88	26	semantic	semantic	ADJ
ajst-21777	88	27	gap	gap	NOUN
ajst-21777	88	28	between	between	ADP
ajst-21777	88	29	the	the	DET
ajst-21777	88	30	encoder	encoder	NOUN
ajst-21777	88	31	and	and	CCONJ
ajst-21777	88	32	decoder	decoder	NOUN
ajst-21777	88	33	has	have	AUX
ajst-21777	88	34	been	be	AUX
ajst-21777	88	35	reduced	reduce	VERB
ajst-21777	88	36	.	.	PUNCT
ajst-21777	89	1	it	it	PRON
ajst-21777	89	2	fails	fail	VERB
ajst-21777	89	3	to	to	PART
ajst-21777	89	4	filter	filter	VERB
ajst-21777	89	5	important	important	ADJ
ajst-21777	89	6	feature	feature	NOUN
ajst-21777	89	7	information	information	NOUN
ajst-21777	89	8	,	,	PUNCT
ajst-21777	89	9	merely	merely	ADV
ajst-21777	89	10	concatenating	concatenate	VERB
ajst-21777	89	11	multiple	multiple	ADJ
ajst-21777	89	12	features	feature	NOUN
ajst-21777	89	13	,	,	PUNCT
ajst-21777	89	14	which	which	PRON
ajst-21777	89	15	in	in	ADP
ajst-21777	89	16	turn	turn	NOUN
ajst-21777	89	17	increases	increase	VERB
ajst-21777	89	18	the	the	DET
ajst-21777	89	19	network	network	NOUN
ajst-21777	89	20	's	's	PART
ajst-21777	89	21	burden	burden	NOUN
ajst-21777	89	22	.	.	PUNCT
ajst-21777	90	1	attention	attention	NOUN
ajst-21777	90	2	u	u	NOUN
ajst-21777	90	3	-	-	NOUN
ajst-21777	90	4	net	net	ADJ
ajst-21777	90	5	(	(	PUNCT
ajst-21777	90	6	oktay	oktay	PROPN
ajst-21777	90	7	et	et	PROPN
ajst-21777	90	8	al	al	PROPN
ajst-21777	90	9	.	.	PROPN
ajst-21777	90	10	,	,	PUNCT
ajst-21777	90	11	2018	2018	NUM
ajst-21777	90	12	)	)	PUNCT
ajst-21777	90	13	attention	attention	NOUN
ajst-21777	90	14	gates	gate	NOUN
ajst-21777	90	15	have	have	AUX
ajst-21777	90	16	been	be	AUX
ajst-21777	90	17	incorporated	incorporate	VERB
ajst-21777	90	18	into	into	ADP
ajst-21777	90	19	the	the	DET
ajst-21777	90	20	skip	skip	ADJ
ajst-21777	90	21	connections	connection	NOUN
ajst-21777	90	22	,	,	PUNCT
ajst-21777	90	23	focusing	focus	VERB
ajst-21777	90	24	on	on	ADP
ajst-21777	90	25	the	the	DET
ajst-21777	90	26	regions	region	NOUN
ajst-21777	90	27	of	of	ADP
ajst-21777	90	28	interest	interest	NOUN
ajst-21777	90	29	in	in	ADP
ajst-21777	90	30	the	the	DET
ajst-21777	90	31	input	input	NOUN
ajst-21777	90	32	image	image	NOUN
ajst-21777	90	33	for	for	ADP
ajst-21777	90	34	segmentation	segmentation	NOUN
ajst-21777	90	35	,	,	PUNCT
ajst-21777	90	36	while	while	SCONJ
ajst-21777	90	37	suppressing	suppress	VERB
ajst-21777	90	38	other	other	ADJ
ajst-21777	90	39	areas	area	NOUN
ajst-21777	90	40	,	,	PUNCT
ajst-21777	90	41	thereby	thereby	ADV
ajst-21777	90	42	highlighting	highlight	VERB
ajst-21777	90	43	the	the	DET
ajst-21777	90	44	spatial	spatial	ADJ
ajst-21777	90	45	and	and	CCONJ
ajst-21777	90	46	geometric	geometric	ADJ
ajst-21777	90	47	information	information	NOUN
ajst-21777	90	48	of	of	ADP
ajst-21777	90	49	the	the	DET
ajst-21777	90	50	segmentation	segmentation	NOUN
ajst-21777	90	51	targets	target	NOUN
ajst-21777	90	52	.	.	PUNCT
ajst-21777	91	1	extraction	extraction	NOUN
ajst-21777	91	2	of	of	ADP
ajst-21777	91	3	shallow	shallow	ADJ
ajst-21777	91	4	-	-	PUNCT
ajst-21777	91	5	level	level	NOUN
ajst-21777	91	6	information	information	NOUN
ajst-21777	91	7	is	be	AUX
ajst-21777	91	8	minimal	minimal	ADJ
ajst-21777	91	9	.	.	PUNCT
ajst-21777	92	1	r2u	r2u	NOUN
ajst-21777	92	2	-	-	PUNCT
ajst-21777	92	3	net	net	NOUN
ajst-21777	92	4	(	(	PUNCT
ajst-21777	92	5	alom	alom	NOUN
ajst-21777	92	6	,	,	PUNCT
ajst-21777	92	7	hasan	hasan	PROPN
ajst-21777	92	8	,	,	PUNCT
ajst-21777	92	9	yakopcic	yakopcic	PROPN
ajst-21777	92	10	,	,	PUNCT
ajst-21777	92	11	taha	taha	PROPN
ajst-21777	92	12	,	,	PUNCT
ajst-21777	92	13	&	&	CCONJ
ajst-21777	92	14	asari	asari	PROPN
ajst-21777	92	15	,	,	PUNCT
ajst-21777	92	16	2018	2018	NUM
ajst-21777	92	17	)	)	PUNCT
ajst-21777	92	18	the	the	DET
ajst-21777	92	19	depth	depth	NOUN
ajst-21777	92	20	of	of	ADP
ajst-21777	92	21	the	the	DET
ajst-21777	92	22	network	network	NOUN
ajst-21777	92	23	has	have	AUX
ajst-21777	92	24	been	be	AUX
ajst-21777	92	25	increased	increase	VERB
ajst-21777	92	26	.	.	PUNCT
ajst-21777	93	1	the	the	DET
ajst-21777	93	2	feature	feature	NOUN
ajst-21777	93	3	fusion	fusion	NOUN
ajst-21777	93	4	strategy	strategy	NOUN
ajst-21777	93	5	is	be	AUX
ajst-21777	93	6	overly	overly	ADV
ajst-21777	93	7	simplistic	simplistic	ADJ
ajst-21777	93	8	,	,	PUNCT
ajst-21777	93	9	leading	lead	VERB
ajst-21777	93	10	to	to	ADP
ajst-21777	93	11	redundancy	redundancy	NOUN
ajst-21777	93	12	in	in	ADP
ajst-21777	93	13	feature	feature	NOUN
ajst-21777	93	14	information	information	NOUN
ajst-21777	93	15	.	.	PUNCT
ajst-21777	94	1	u	u	NOUN
ajst-21777	94	2	-	-	NOUN
ajst-21777	94	3	net3	net3	ADJ
ajst-21777	94	4	+	+	CCONJ
ajst-21777	94	5	(	(	PUNCT
ajst-21777	94	6	huang	huang	PROPN
ajst-21777	94	7	et	et	PROPN
ajst-21777	94	8	al	al	PROPN
ajst-21777	94	9	.	.	PROPN
ajst-21777	94	10	,	,	PUNCT
ajst-21777	94	11	2020	2020	NUM
ajst-21777	94	12	)	)	PUNCT
ajst-21777	94	13	learn	learn	VERB
ajst-21777	94	14	features	feature	NOUN
ajst-21777	94	15	from	from	ADP
ajst-21777	94	16	full	full	ADJ
ajst-21777	94	17	-	-	PUNCT
ajst-21777	94	18	scale	scale	NOUN
ajst-21777	94	19	.	.	PUNCT
ajst-21777	95	1	insufficient	insufficient	ADJ
ajst-21777	95	2	generalization	generalization	NOUN
ajst-21777	95	3	capability	capability	NOUN
ajst-21777	95	4	.	.	PUNCT
ajst-21777	96	1	multiresu	multiresu	ADJ
ajst-21777	96	2	-	-	ADJ
ajst-21777	96	3	net	net	NOUN
ajst-21777	96	4	(	(	PUNCT
ajst-21777	96	5	ibtehaz	ibtehaz	PROPN
ajst-21777	96	6	&	&	CCONJ
ajst-21777	96	7	rahman	rahman	PROPN
ajst-21777	96	8	,	,	PUNCT
ajst-21777	96	9	2020	2020	NUM
ajst-21777	96	10	)	)	PUNCT
ajst-21777	96	11	reduced	reduce	VERB
ajst-21777	96	12	the	the	DET
ajst-21777	96	13	semantic	semantic	ADJ
ajst-21777	96	14	gap	gap	NOUN
ajst-21777	96	15	between	between	ADP
ajst-21777	96	16	low	low	ADJ
ajst-21777	96	17	-	-	PUNCT
ajst-21777	96	18	level	level	NOUN
ajst-21777	96	19	and	and	CCONJ
ajst-21777	96	20	high	high	ADJ
ajst-21777	96	21	-	-	PUNCT
ajst-21777	96	22	level	level	NOUN
ajst-21777	96	23	features	feature	NOUN
ajst-21777	96	24	.	.	PUNCT
ajst-21777	97	1	insufficient	insufficient	ADJ
ajst-21777	97	2	utilization	utilization	NOUN
ajst-21777	97	3	of	of	ADP
ajst-21777	97	4	the	the	DET
ajst-21777	97	5	spatial	spatial	ADJ
ajst-21777	97	6	information	information	NOUN
ajst-21777	97	7	in	in	ADP
ajst-21777	97	8	features	feature	NOUN
ajst-21777	97	9	.	.	PUNCT
ajst-21777	98	1	msrf	msrf	NOUN
ajst-21777	98	2	-	-	PUNCT
ajst-21777	98	3	net	net	NOUN
ajst-21777	98	4	(	(	PUNCT
ajst-21777	98	5	srivastava	srivastava	PROPN
ajst-21777	98	6	et	et	PROPN
ajst-21777	98	7	al	al	PROPN
ajst-21777	98	8	.	.	PROPN
ajst-21777	98	9	,	,	PUNCT
ajst-21777	98	10	2021	2021	NUM
ajst-21777	98	11	)	)	PUNCT
ajst-21777	98	12	the	the	DET
ajst-21777	98	13	network	network	NOUN
ajst-21777	98	14	employs	employ	VERB
ajst-21777	98	15	multiple	multiple	ADJ
ajst-21777	98	16	dense	dense	ADJ
ajst-21777	98	17	fusion	fusion	NOUN
ajst-21777	98	18	blocks	block	NOUN
ajst-21777	98	19	to	to	PART
ajst-21777	98	20	achieve	achieve	VERB
ajst-21777	98	21	the	the	DET
ajst-21777	98	22	integration	integration	NOUN
ajst-21777	98	23	of	of	ADP
ajst-21777	98	24	high	high	ADJ
ajst-21777	98	25	-	-	PUNCT
ajst-21777	98	26	level	level	NOUN
ajst-21777	98	27	and	and	CCONJ
ajst-21777	98	28	low	low	ADJ
ajst-21777	98	29	-	-	PUNCT
ajst-21777	98	30	level	level	NOUN
ajst-21777	98	31	feature	feature	NOUN
ajst-21777	98	32	information	information	NOUN
ajst-21777	98	33	.	.	PUNCT
ajst-21777	99	1	the	the	DET
ajst-21777	99	2	large	large	ADJ
ajst-21777	99	3	number	number	NOUN
ajst-21777	99	4	of	of	ADP
ajst-21777	99	5	network	network	NOUN
ajst-21777	99	6	parameters	parameter	NOUN
ajst-21777	99	7	makes	make	VERB
ajst-21777	99	8	training	training	NOUN
ajst-21777	99	9	difficult	difficult	ADJ
ajst-21777	99	10	to	to	PART
ajst-21777	99	11	deploy	deploy	VERB
ajst-21777	99	12	.	.	PUNCT
ajst-21777	100	1	single	single	ADJ
ajst-21777	100	2	level	level	NOUN
ajst-21777	100	3	unet3d	unet3d	PROPN
ajst-21777	100	4	(	(	PUNCT
ajst-21777	100	5	akbar	akbar	NOUN
ajst-21777	100	6	,	,	PUNCT
ajst-21777	100	7	fatichah	fatichah	NOUN
ajst-21777	100	8	,	,	PUNCT
ajst-21777	100	9	suciati	suciati	PROPN
ajst-21777	100	10	,	,	PUNCT
ajst-21777	100	11	&	&	CCONJ
ajst-21777	100	12	sciences	sciences	PROPN
ajst-21777	100	13	,	,	PUNCT
ajst-21777	100	14	2022	2022	NUM
ajst-21777	100	15	)	)	PUNCT
ajst-21777	100	16	multi	multi	ADJ
ajst-21777	100	17	-	-	ADJ
ajst-21777	100	18	path	path	ADJ
ajst-21777	100	19	residual	residual	ADJ
ajst-21777	100	20	attention	attention	NOUN
ajst-21777	100	21	blocks	block	NOUN
ajst-21777	100	22	have	have	AUX
ajst-21777	100	23	been	be	AUX
ajst-21777	100	24	introduced	introduce	VERB
ajst-21777	100	25	into	into	ADP
ajst-21777	100	26	the	the	DET
ajst-21777	100	27	encoder	encoder	NOUN
ajst-21777	100	28	,	,	PUNCT
ajst-21777	100	29	combining	combine	VERB
ajst-21777	100	30	fusion	fusion	NOUN
ajst-21777	100	31	attention	attention	NOUN
ajst-21777	100	32	with	with	ADP
ajst-21777	100	33	dilated	dilated	ADJ
ajst-21777	100	34	convolution	convolution	NOUN
ajst-21777	100	35	to	to	PART
ajst-21777	100	36	effectively	effectively	ADV
ajst-21777	100	37	enhance	enhance	VERB
ajst-21777	100	38	the	the	DET
ajst-21777	100	39	network	network	NOUN
ajst-21777	100	40	's	's	PART
ajst-21777	100	41	ability	ability	NOUN
ajst-21777	100	42	to	to	PART
ajst-21777	100	43	capture	capture	VERB
ajst-21777	100	44	small	small	ADJ
ajst-21777	100	45	tumor	tumor	NOUN
ajst-21777	100	46	features	feature	NOUN
ajst-21777	100	47	.	.	PUNCT
ajst-21777	101	1	the	the	DET
ajst-21777	101	2	network	network	NOUN
ajst-21777	101	3	has	have	VERB
ajst-21777	101	4	an	an	DET
ajst-21777	101	5	excessively	excessively	ADV
ajst-21777	101	6	large	large	ADJ
ajst-21777	101	7	number	number	NOUN
ajst-21777	101	8	of	of	ADP
ajst-21777	101	9	parameters	parameter	NOUN
ajst-21777	101	10	,	,	PUNCT
ajst-21777	101	11	increasing	increase	VERB
ajst-21777	101	12	the	the	DET
ajst-21777	101	13	network	network	NOUN
ajst-21777	101	14	's	's	PART
ajst-21777	101	15	burden	burden	NOUN
ajst-21777	101	16	.	.	PUNCT
ajst-21777	102	1	scau	scau	NOUN
ajst-21777	102	2	-	-	PUNCT
ajst-21777	102	3	net	net	NOUN
ajst-21777	102	4	(	(	PUNCT
ajst-21777	102	5	liu	liu	PROPN
ajst-21777	102	6	et	et	PROPN
ajst-21777	102	7	al	al	PROPN
ajst-21777	102	8	.	.	PROPN
ajst-21777	102	9	,	,	PUNCT
ajst-21777	102	10	2023	2023	NUM
ajst-21777	102	11	)	)	PUNCT
ajst-21777	102	12	embed	embed	VERB
ajst-21777	102	13	external	external	ADJ
ajst-21777	102	14	attention	attention	NOUN
ajst-21777	102	15	into	into	ADP
ajst-21777	102	16	the	the	DET
ajst-21777	102	17	skip	skip	ADJ
ajst-21777	102	18	connections	connection	NOUN
ajst-21777	102	19	to	to	PART
ajst-21777	102	20	better	well	ADV
ajst-21777	102	21	utilize	utilize	VERB
ajst-21777	102	22	the	the	DET
ajst-21777	102	23	encoder	encoder	NOUN
ajst-21777	102	24	's	's	PART
ajst-21777	102	25	capability	capability	NOUN
ajst-21777	102	26	for	for	ADP
ajst-21777	102	27	semantic	semantic	ADJ
ajst-21777	102	28	upsampling	upsampling	NOUN
ajst-21777	102	29	.	.	PUNCT
ajst-21777	103	1	the	the	DET
ajst-21777	103	2	model	model	NOUN
ajst-21777	103	3	's	's	PART
ajst-21777	103	4	performance	performance	NOUN
ajst-21777	103	5	in	in	ADP
ajst-21777	103	6	enhancing	enhance	VERB
ajst-21777	103	7	tumor	tumor	NOUN
ajst-21777	103	8	(	(	PUNCT
ajst-21777	103	9	et	et	NOUN
ajst-21777	103	10	)	)	PUNCT
ajst-21777	103	11	region	region	NOUN
ajst-21777	103	12	segmentation	segmentation	NOUN
ajst-21777	103	13	needs	need	VERB
ajst-21777	103	14	improvement	improvement	NOUN
ajst-21777	103	15	.	.	PUNCT
ajst-21777	104	1	conclusion	conclusion	NOUN
ajst-21777	104	2	although	although	SCONJ
ajst-21777	104	3	encoder	encoder	NOUN
ajst-21777	104	4	-	-	PUNCT
ajst-21777	104	5	decoder	decoder	NOUN
ajst-21777	104	6	structured	structure	VERB
ajst-21777	104	7	networks	network	NOUN
ajst-21777	104	8	used	use	VERB
ajst-21777	104	9	for	for	ADP
ajst-21777	104	10	medical	medical	ADJ
ajst-21777	104	11	image	image	NOUN
ajst-21777	104	12	segmentation	segmentation	NOUN
ajst-21777	104	13	,	,	PUNCT
ajst-21777	104	14	such	such	ADJ
ajst-21777	104	15	as	as	ADP
ajst-21777	104	16	u	u	NOUN
ajst-21777	104	17	-	-	NOUN
ajst-21777	104	18	net	net	ADJ
ajst-21777	104	19	,	,	PUNCT
ajst-21777	104	20	u	u	NOUN
ajst-21777	104	21	-	-	NOUN
ajst-21777	104	22	net++	net++	ADJ
ajst-21777	104	23	,	,	PUNCT
ajst-21777	104	24	and	and	CCONJ
ajst-21777	104	25	r2u	r2u	NOUN
ajst-21777	104	26	-	-	PUNCT
ajst-21777	104	27	net	net	NOUN
ajst-21777	104	28	,	,	PUNCT
ajst-21777	104	29	can	can	AUX
ajst-21777	104	30	achieve	achieve	VERB
ajst-21777	104	31	high	high	ADJ
ajst-21777	104	32	segmentation	segmentation	NOUN
ajst-21777	104	33	accuracy	accuracy	NOUN
ajst-21777	104	34	on	on	ADP
ajst-21777	104	35	some	some	DET
ajst-21777	104	36	medical	medical	ADJ
ajst-21777	104	37	datasets	dataset	NOUN
ajst-21777	104	38	,	,	PUNCT
ajst-21777	104	39	the	the	DET
ajst-21777	104	40	field	field	NOUN
ajst-21777	104	41	of	of	ADP
ajst-21777	104	42	medical	medical	ADJ
ajst-21777	104	43	image	image	NOUN
ajst-21777	104	44	segmentation	segmentation	NOUN
ajst-21777	104	45	still	still	ADV
ajst-21777	104	46	faces	face	VERB
ajst-21777	104	47	issues	issue	NOUN
ajst-21777	104	48	of	of	ADP
ajst-21777	104	49	low	low	ADJ
ajst-21777	104	50	feature	feature	NOUN
ajst-21777	104	51	information	information	NOUN
ajst-21777	104	52	utilization	utilization	NOUN
ajst-21777	104	53	,	,	PUNCT
ajst-21777	104	54	insufficient	insufficient	ADJ
ajst-21777	104	55	generalization	generalization	NOUN
ajst-21777	104	56	,	,	PUNCT
ajst-21777	104	57	and	and	CCONJ
ajst-21777	104	58	robustness	robustness	NOUN
ajst-21777	104	59	of	of	ADP
ajst-21777	104	60	segmentation	segmentation	NOUN
ajst-21777	104	61	models	model	NOUN
ajst-21777	104	62	.	.	PUNCT
ajst-21777	105	1	151	151	NUM
ajst-21777	105	2	figure	figure	NOUN
ajst-21777	105	3	3.1	3.1	NUM
ajst-21777	105	4	.	.	PUNCT
ajst-21777	106	1	u	u	NOUN
ajst-21777	106	2	-	-	NOUN
ajst-21777	106	3	net	net	ADJ
ajst-21777	106	4	architecture(ronneberger	architecture(ronneberger	PROPN
ajst-21777	106	5	et	et	NOUN
ajst-21777	106	6	al	al	PROPN
ajst-21777	106	7	.	.	PROPN
ajst-21777	106	8	,	,	PUNCT
ajst-21777	106	9	2015	2015	NUM
ajst-21777	106	10	)	)	PUNCT
ajst-21777	106	11	4	4	NUM
ajst-21777	106	12	.	.	X
ajst-21777	106	13	semi	semi	ADJ
ajst-21777	106	14	-	-	ADJ
ajst-21777	106	15	supervised	supervised	ADJ
ajst-21777	106	16	medical	medical	ADJ
ajst-21777	106	17	image	image	NOUN
ajst-21777	106	18	segmentation	segmentation	NOUN
ajst-21777	106	19	method	method	NOUN
ajst-21777	106	20	based	base	VERB
ajst-21777	106	21	on	on	ADP
ajst-21777	106	22	unet	unet	NOUN
ajst-21777	106	23	following	follow	VERB
ajst-21777	106	24	the	the	DET
ajst-21777	106	25	success	success	NOUN
ajst-21777	106	26	of	of	ADP
ajst-21777	106	27	u	u	NOUN
ajst-21777	106	28	-	-	NOUN
ajst-21777	106	29	net	net	ADJ
ajst-21777	106	30	in	in	ADP
ajst-21777	106	31	medical	medical	ADJ
ajst-21777	106	32	image	image	NOUN
ajst-21777	106	33	segmentation	segmentation	NOUN
ajst-21777	106	34	,	,	PUNCT
ajst-21777	106	35	researchers	researcher	NOUN
ajst-21777	106	36	have	have	AUX
ajst-21777	106	37	begun	begin	VERB
ajst-21777	106	38	investigating	investigate	VERB
ajst-21777	106	39	how	how	SCONJ
ajst-21777	106	40	to	to	PART
ajst-21777	106	41	effectively	effectively	ADV
ajst-21777	106	42	apply	apply	VERB
ajst-21777	106	43	u	u	NOUN
ajst-21777	106	44	-	-	NOUN
ajst-21777	106	45	net	net	ADJ
ajst-21777	106	46	and	and	CCONJ
ajst-21777	106	47	its	its	PRON
ajst-21777	106	48	variants	variant	NOUN
ajst-21777	106	49	to	to	ADP
ajst-21777	106	50	semi	semi	ADJ
ajst-21777	106	51	-	-	ADJ
ajst-21777	106	52	supervised	supervised	ADJ
ajst-21777	106	53	learning	learning	NOUN
ajst-21777	106	54	to	to	PART
ajst-21777	106	55	address	address	VERB
ajst-21777	106	56	the	the	DET
ajst-21777	106	57	issue	issue	NOUN
ajst-21777	106	58	of	of	ADP
ajst-21777	106	59	scarce	scarce	ADJ
ajst-21777	106	60	annotated	annotate	VERB
ajst-21777	106	61	data	datum	NOUN
ajst-21777	106	62	.	.	PUNCT
ajst-21777	107	1	by	by	ADP
ajst-21777	107	2	incorporating	incorporate	VERB
ajst-21777	107	3	semi	semi	ADJ
ajst-21777	107	4	-	-	ADJ
ajst-21777	107	5	supervised	supervised	ADJ
ajst-21777	107	6	learning	learning	NOUN
ajst-21777	107	7	strategies	strategy	NOUN
ajst-21777	107	8	like	like	ADP
ajst-21777	107	9	selftraining	selftraine	VERB
ajst-21777	107	10	,	,	PUNCT
ajst-21777	107	11	pseudo	pseudo	NOUN
ajst-21777	107	12	-	-	NOUN
ajst-21777	107	13	labeling	labeling	NOUN
ajst-21777	107	14	,	,	PUNCT
ajst-21777	107	15	and	and	CCONJ
ajst-21777	107	16	consistency	consistency	NOUN
ajst-21777	107	17	regularization	regularization	NOUN
ajst-21777	107	18	,	,	PUNCT
ajst-21777	107	19	unet	unet	NOUN
ajst-21777	107	20	-	-	PUNCT
ajst-21777	107	21	based	base	VERB
ajst-21777	107	22	semi	semi	ADJ
ajst-21777	107	23	-	-	ADJ
ajst-21777	107	24	supervised	supervised	ADJ
ajst-21777	107	25	methods	method	NOUN
ajst-21777	107	26	are	be	AUX
ajst-21777	107	27	able	able	ADJ
ajst-21777	107	28	to	to	PART
ajst-21777	107	29	effectively	effectively	ADV
ajst-21777	107	30	utilize	utilize	VERB
ajst-21777	107	31	a	a	DET
ajst-21777	107	32	vast	vast	ADJ
ajst-21777	107	33	amount	amount	NOUN
ajst-21777	107	34	of	of	ADP
ajst-21777	107	35	unlabeled	unlabeled	ADJ
ajst-21777	107	36	data	datum	NOUN
ajst-21777	107	37	,	,	PUNCT
ajst-21777	107	38	thereby	thereby	ADV
ajst-21777	107	39	improving	improve	VERB
ajst-21777	107	40	segmentation	segmentation	NOUN
ajst-21777	107	41	performance	performance	NOUN
ajst-21777	107	42	.	.	PUNCT
ajst-21777	108	1	ahmed	ahmed	PROPN
ajst-21777	108	2	iqbal	iqbal	PROPN
ajst-21777	108	3	and	and	CCONJ
ajst-21777	108	4	muhammad	muhammad	PROPN
ajst-21777	108	5	sharif	sharif	PROPN
ajst-21777	108	6	proposed	propose	VERB
ajst-21777	108	7	an	an	DET
ajst-21777	108	8	enhanced	enhanced	ADJ
ajst-21777	108	9	version	version	NOUN
ajst-21777	108	10	of	of	ADP
ajst-21777	108	11	u	u	NOUN
ajst-21777	108	12	-	-	NOUN
ajst-21777	108	13	net	net	NOUN
ajst-21777	108	14	for	for	ADP
ajst-21777	108	15	the	the	DET
ajst-21777	108	16	semi	semi	ADJ
ajst-21777	108	17	-	-	ADJ
ajst-21777	108	18	supervised	supervised	ADJ
ajst-21777	108	19	segmentation	segmentation	NOUN
ajst-21777	108	20	of	of	ADP
ajst-21777	108	21	breast	breast	NOUN
ajst-21777	108	22	tumor	tumor	NOUN
ajst-21777	108	23	images	image	NOUN
ajst-21777	108	24	,	,	PUNCT
ajst-21777	108	25	improving	improve	VERB
ajst-21777	108	26	the	the	DET
ajst-21777	108	27	accuracy	accuracy	NOUN
ajst-21777	108	28	of	of	ADP
ajst-21777	108	29	breast	breast	NOUN
ajst-21777	108	30	tumor	tumor	NOUN
ajst-21777	108	31	segmentation	segmentation	NOUN
ajst-21777	108	32	in	in	ADP
ajst-21777	108	33	situations	situation	NOUN
ajst-21777	108	34	with	with	ADP
ajst-21777	108	35	limited	limited	ADJ
ajst-21777	108	36	standard	standard	ADJ
ajst-21777	108	37	datasets(iqbal	datasets(iqbal	PROPN
ajst-21777	108	38	&	&	CCONJ
ajst-21777	108	39	sharif	sharif	PROPN
ajst-21777	108	40	,	,	PUNCT
ajst-21777	108	41	2023	2023	NUM
ajst-21777	108	42	)	)	PUNCT
ajst-21777	108	43	.	.	PUNCT
ajst-21777	109	1	ashwini	ashwini	NOUN
ajst-21777	109	2	and	and	CCONJ
ajst-21777	109	3	others	other	NOUN
ajst-21777	109	4	developed	develop	VERB
ajst-21777	109	5	an	an	DET
ajst-21777	109	6	improved	improved	ADJ
ajst-21777	109	7	u	u	ADJ
ajst-21777	109	8	-	-	ADJ
ajst-21777	109	9	net	net	ADJ
ajst-21777	109	10	model	model	NOUN
ajst-21777	109	11	(	(	PUNCT
ajst-21777	109	12	mod	mod	NOUN
ajst-21777	109	13	-	-	PUNCT
ajst-21777	109	14	unet	unet	NOUN
ajst-21777	109	15	)	)	PUNCT
ajst-21777	109	16	,	,	PUNCT
ajst-21777	109	17	which	which	PRON
ajst-21777	109	18	enhanced	enhance	VERB
ajst-21777	109	19	the	the	DET
ajst-21777	109	20	traditional	traditional	ADJ
ajst-21777	109	21	training	training	NOUN
ajst-21777	109	22	process	process	NOUN
ajst-21777	109	23	of	of	ADP
ajst-21777	109	24	the	the	DET
ajst-21777	109	25	standard	standard	ADJ
ajst-21777	109	26	2	2	NUM
ajst-21777	109	27	-	-	PUNCT
ajst-21777	109	28	d	d	NOUN
ajst-21777	109	29	unet(upadhyay	unet(upadhyay	PROPN
ajst-21777	109	30	,	,	PUNCT
ajst-21777	109	31	bhandari	bhandari	NOUN
ajst-21777	109	32	,	,	PUNCT
ajst-21777	109	33	&	&	CCONJ
ajst-21777	109	34	sciences	science	NOUN
ajst-21777	109	35	,	,	PUNCT
ajst-21777	109	36	2023	2023	NUM
ajst-21777	109	37	)	)	PUNCT
ajst-21777	109	38	.	.	PUNCT
ajst-21777	110	1	they	they	PRON
ajst-21777	110	2	utilized	utilize	VERB
ajst-21777	110	3	this	this	PRON
ajst-21777	110	4	improved	improve	VERB
ajst-21777	110	5	u	u	NOUN
ajst-21777	110	6	-	-	NOUN
ajst-21777	110	7	net	net	NOUN
ajst-21777	110	8	within	within	ADP
ajst-21777	110	9	a	a	DET
ajst-21777	110	10	semi	semi	ADJ
ajst-21777	110	11	-	-	ADJ
ajst-21777	110	12	supervised	supervised	ADJ
ajst-21777	110	13	segmentation	segmentation	NOUN
ajst-21777	110	14	framework	framework	NOUN
ajst-21777	110	15	,	,	PUNCT
ajst-21777	110	16	validating	validate	VERB
ajst-21777	110	17	the	the	DET
ajst-21777	110	18	superiority	superiority	NOUN
ajst-21777	110	19	of	of	ADP
ajst-21777	110	20	their	their	PRON
ajst-21777	110	21	method	method	NOUN
ajst-21777	110	22	across	across	ADP
ajst-21777	110	23	two	two	NUM
ajst-21777	110	24	covid-19	covid-19	PROPN
ajst-21777	110	25	ct	ct	PROPN
ajst-21777	110	26	segmentation	segmentation	NOUN
ajst-21777	110	27	datasets	dataset	NOUN
ajst-21777	110	28	and	and	CCONJ
ajst-21777	110	29	actual	actual	ADJ
ajst-21777	110	30	pulmonary	pulmonary	ADJ
ajst-21777	110	31	ct	ct	PROPN
ajst-21777	110	32	volumes	volume	NOUN
ajst-21777	110	33	.	.	PUNCT
ajst-21777	111	1	additionally	additionally	ADV
ajst-21777	111	2	,	,	PUNCT
ajst-21777	111	3	chen	chen	PROPN
ajst-21777	111	4	and	and	CCONJ
ajst-21777	111	5	his	his	PRON
ajst-21777	111	6	team	team	NOUN
ajst-21777	111	7	introduced	introduce	VERB
ajst-21777	111	8	a	a	DET
ajst-21777	111	9	semi	semi	ADJ
ajst-21777	111	10	-	-	ADJ
ajst-21777	111	11	supervised	supervised	ADJ
ajst-21777	111	12	learning	learning	NOUN
ajst-21777	111	13	method	method	NOUN
ajst-21777	111	14	using	use	VERB
ajst-21777	111	15	an	an	DET
ajst-21777	111	16	improved	improved	ADJ
ajst-21777	111	17	u	u	NOUN
ajst-21777	111	18	-	-	ADJ
ajst-21777	111	19	net	net	ADJ
ajst-21777	111	20	deep	deep	ADJ
ajst-21777	111	21	learning	learning	NOUN
ajst-21777	111	22	network	network	NOUN
ajst-21777	111	23	for	for	ADP
ajst-21777	111	24	vascular	vascular	ADJ
ajst-21777	111	25	structure	structure	NOUN
ajst-21777	111	26	segmentation	segmentation	NOUN
ajst-21777	111	27	.	.	PUNCT
ajst-21777	112	1	extensive	extensive	ADJ
ajst-21777	112	2	experiments	experiment	NOUN
ajst-21777	112	3	analyzing	analyze	VERB
ajst-21777	112	4	this	this	DET
ajst-21777	112	5	semisupervised	semisupervised	ADJ
ajst-21777	112	6	learning	learning	NOUN
ajst-21777	112	7	method	method	NOUN
ajst-21777	112	8	demonstrated	demonstrate	VERB
ajst-21777	112	9	its	its	PRON
ajst-21777	112	10	ability	ability	NOUN
ajst-21777	112	11	to	to	PART
ajst-21777	112	12	overcome	overcome	VERB
ajst-21777	112	13	the	the	DET
ajst-21777	112	14	lack	lack	NOUN
ajst-21777	112	15	of	of	ADP
ajst-21777	112	16	sufficient	sufficient	ADJ
ajst-21777	112	17	manual	manual	ADJ
ajst-21777	112	18	labels	label	NOUN
ajst-21777	112	19	while	while	SCONJ
ajst-21777	112	20	achieving	achieve	VERB
ajst-21777	112	21	satisfactory	satisfactory	ADJ
ajst-21777	112	22	performance(chen	performance(chen	PROPN
ajst-21777	112	23	,	,	PUNCT
ajst-21777	112	24	ao	ao	PROPN
ajst-21777	112	25	,	,	PUNCT
ajst-21777	112	26	&	&	CCONJ
ajst-21777	112	27	liu	liu	PROPN
ajst-21777	112	28	,	,	PUNCT
ajst-21777	112	29	2020	2020	NUM
ajst-21777	112	30	)	)	PUNCT
ajst-21777	112	31	.	.	PUNCT
ajst-21777	113	1	although	although	SCONJ
ajst-21777	113	2	semi	semi	ADJ
ajst-21777	113	3	-	-	ADJ
ajst-21777	113	4	supervised	supervised	ADJ
ajst-21777	113	5	medical	medical	ADJ
ajst-21777	113	6	image	image	NOUN
ajst-21777	113	7	segmentation	segmentation	NOUN
ajst-21777	113	8	based	base	VERB
ajst-21777	113	9	on	on	ADP
ajst-21777	113	10	u	u	NOUN
ajst-21777	113	11	-	-	NOUN
ajst-21777	113	12	net	net	ADJ
ajst-21777	113	13	and	and	CCONJ
ajst-21777	113	14	its	its	PRON
ajst-21777	113	15	variants	variant	NOUN
ajst-21777	113	16	has	have	AUX
ajst-21777	113	17	achieved	achieve	VERB
ajst-21777	113	18	high	high	ADJ
ajst-21777	113	19	accuracy	accuracy	NOUN
ajst-21777	113	20	in	in	ADP
ajst-21777	113	21	many	many	ADJ
ajst-21777	113	22	applications	application	NOUN
ajst-21777	113	23	,	,	PUNCT
ajst-21777	113	24	several	several	ADJ
ajst-21777	113	25	issues	issue	NOUN
ajst-21777	113	26	persist	persist	VERB
ajst-21777	113	27	.	.	PUNCT
ajst-21777	114	1	the	the	DET
ajst-21777	114	2	u	u	ADJ
ajst-21777	114	3	-	-	ADJ
ajst-21777	114	4	net	net	ADJ
ajst-21777	114	5	architecture	architecture	NOUN
ajst-21777	114	6	typically	typically	ADV
ajst-21777	114	7	involves	involve	VERB
ajst-21777	114	8	a	a	DET
ajst-21777	114	9	large	large	ADJ
ajst-21777	114	10	number	number	NOUN
ajst-21777	114	11	of	of	ADP
ajst-21777	114	12	parameters	parameter	NOUN
ajst-21777	114	13	,	,	PUNCT
ajst-21777	114	14	necessitating	necessitate	VERB
ajst-21777	114	15	significant	significant	ADJ
ajst-21777	114	16	memory	memory	NOUN
ajst-21777	114	17	and	and	CCONJ
ajst-21777	114	18	computational	computational	ADJ
ajst-21777	114	19	power	power	NOUN
ajst-21777	114	20	,	,	PUNCT
ajst-21777	114	21	particularly	particularly	ADV
ajst-21777	114	22	for	for	ADP
ajst-21777	114	23	processing	process	VERB
ajst-21777	114	24	3d	3d	NUM
ajst-21777	114	25	images	image	NOUN
ajst-21777	114	26	.	.	PUNCT
ajst-21777	115	1	this	this	PRON
ajst-21777	115	2	complicates	complicate	VERB
ajst-21777	115	3	the	the	DET
ajst-21777	115	4	deployment	deployment	NOUN
ajst-21777	115	5	of	of	ADP
ajst-21777	115	6	u	u	NOUN
ajst-21777	115	7	-	-	NOUN
ajst-21777	115	8	net	net	ADJ
ajst-21777	115	9	in	in	ADP
ajst-21777	115	10	resource	resource	NOUN
ajst-21777	115	11	-	-	PUNCT
ajst-21777	115	12	constrained	constrain	VERB
ajst-21777	115	13	environments	environment	NOUN
ajst-21777	115	14	.	.	PUNCT
ajst-21777	116	1	u	u	ADJ
ajst-21777	116	2	-	-	ADJ
ajst-21777	116	3	net	net	ADJ
ajst-21777	116	4	enhances	enhance	VERB
ajst-21777	116	5	information	information	NOUN
ajst-21777	116	6	transmission	transmission	NOUN
ajst-21777	116	7	via	via	ADP
ajst-21777	116	8	skip	skip	ADJ
ajst-21777	116	9	connections	connection	NOUN
ajst-21777	116	10	,	,	PUNCT
ajst-21777	116	11	yet	yet	CCONJ
ajst-21777	116	12	its	its	PRON
ajst-21777	116	13	performance	performance	NOUN
ajst-21777	116	14	may	may	AUX
ajst-21777	116	15	still	still	ADV
ajst-21777	116	16	be	be	AUX
ajst-21777	116	17	limited	limit	VERB
ajst-21777	116	18	when	when	SCONJ
ajst-21777	116	19	processing	processing	NOUN
ajst-21777	116	20	images	image	NOUN
ajst-21777	116	21	with	with	ADP
ajst-21777	116	22	complex	complex	ADJ
ajst-21777	116	23	structures	structure	NOUN
ajst-21777	116	24	or	or	CCONJ
ajst-21777	116	25	those	those	PRON
ajst-21777	116	26	requiring	require	VERB
ajst-21777	116	27	broader	broad	ADJ
ajst-21777	116	28	contextual	contextual	ADJ
ajst-21777	116	29	information	information	NOUN
ajst-21777	116	30	.	.	PUNCT
ajst-21777	117	1	this	this	PRON
ajst-21777	117	2	is	be	AUX
ajst-21777	117	3	because	because	SCONJ
ajst-21777	117	4	u	u	NOUN
ajst-21777	117	5	-	-	ADJ
ajst-21777	117	6	net	net	NOUN
ajst-21777	117	7	's	's	PART
ajst-21777	117	8	fundamental	fundamental	ADJ
ajst-21777	117	9	design	design	NOUN
ajst-21777	117	10	is	be	AUX
ajst-21777	117	11	geared	gear	VERB
ajst-21777	117	12	more	more	ADV
ajst-21777	117	13	towards	towards	ADP
ajst-21777	117	14	capturing	capture	VERB
ajst-21777	117	15	local	local	ADJ
ajst-21777	117	16	features	feature	NOUN
ajst-21777	117	17	.	.	PUNCT
ajst-21777	118	1	in	in	ADP
ajst-21777	118	2	actual	actual	ADJ
ajst-21777	118	3	medical	medical	ADJ
ajst-21777	118	4	settings	setting	NOUN
ajst-21777	118	5	,	,	PUNCT
ajst-21777	118	6	image	image	NOUN
ajst-21777	118	7	quality	quality	NOUN
ajst-21777	118	8	may	may	AUX
ajst-21777	118	9	be	be	AUX
ajst-21777	118	10	compromised	compromise	VERB
ajst-21777	118	11	by	by	ADP
ajst-21777	118	12	various	various	ADJ
ajst-21777	118	13	factors	factor	NOUN
ajst-21777	118	14	such	such	ADJ
ajst-21777	118	15	as	as	ADP
ajst-21777	118	16	differences	difference	NOUN
ajst-21777	118	17	in	in	ADP
ajst-21777	118	18	equipment	equipment	NOUN
ajst-21777	118	19	and	and	CCONJ
ajst-21777	118	20	operational	operational	ADJ
ajst-21777	118	21	methods	method	NOUN
ajst-21777	118	22	,	,	PUNCT
ajst-21777	118	23	leading	lead	VERB
ajst-21777	118	24	to	to	ADP
ajst-21777	118	25	noise	noise	NOUN
ajst-21777	118	26	and	and	CCONJ
ajst-21777	118	27	artifacts	artifact	NOUN
ajst-21777	118	28	in	in	ADP
ajst-21777	118	29	images	image	NOUN
ajst-21777	118	30	.	.	PUNCT
ajst-21777	119	1	without	without	ADP
ajst-21777	119	2	adequate	adequate	ADJ
ajst-21777	119	3	preprocessing	preprocessing	NOUN
ajst-21777	119	4	or	or	CCONJ
ajst-21777	119	5	enhancement	enhancement	NOUN
ajst-21777	119	6	strategies	strategy	NOUN
ajst-21777	119	7	,	,	PUNCT
ajst-21777	119	8	u	u	NOUN
ajst-21777	119	9	-	-	NOUN
ajst-21777	119	10	net	net	ADJ
ajst-21777	119	11	may	may	AUX
ajst-21777	119	12	be	be	AUX
ajst-21777	119	13	particularly	particularly	ADV
ajst-21777	119	14	sensitive	sensitive	ADJ
ajst-21777	119	15	to	to	ADP
ajst-21777	119	16	these	these	DET
ajst-21777	119	17	noises	noise	NOUN
ajst-21777	119	18	and	and	CCONJ
ajst-21777	119	19	artifacts	artifact	NOUN
ajst-21777	119	20	.	.	PUNCT
ajst-21777	120	1	considering	consider	VERB
ajst-21777	120	2	these	these	DET
ajst-21777	120	3	issues	issue	NOUN
ajst-21777	120	4	,	,	PUNCT
ajst-21777	120	5	further	further	ADJ
ajst-21777	120	6	research	research	NOUN
ajst-21777	120	7	is	be	AUX
ajst-21777	120	8	needed	need	VERB
ajst-21777	120	9	to	to	PART
ajst-21777	120	10	improve	improve	VERB
ajst-21777	120	11	and	and	CCONJ
ajst-21777	120	12	optimize	optimize	VERB
ajst-21777	120	13	semi	semi	ADJ
ajst-21777	120	14	-	-	ADJ
ajst-21777	120	15	supervised	supervised	ADJ
ajst-21777	120	16	medical	medical	ADJ
ajst-21777	120	17	image	image	NOUN
ajst-21777	120	18	segmentation	segmentation	NOUN
ajst-21777	120	19	based	base	VERB
ajst-21777	120	20	on	on	ADP
ajst-21777	120	21	u	u	NOUN
ajst-21777	120	22	-	-	NOUN
ajst-21777	120	23	net	net	ADJ
ajst-21777	120	24	,	,	PUNCT
ajst-21777	120	25	aiming	aim	VERB
ajst-21777	120	26	to	to	PART
ajst-21777	120	27	boost	boost	VERB
ajst-21777	120	28	its	its	PRON
ajst-21777	120	29	performance	performance	NOUN
ajst-21777	120	30	,	,	PUNCT
ajst-21777	120	31	adaptability	adaptability	NOUN
ajst-21777	120	32	,	,	PUNCT
ajst-21777	120	33	robustness	robustness	NOUN
ajst-21777	120	34	,	,	PUNCT
ajst-21777	120	35	and	and	CCONJ
ajst-21777	120	36	interpretability	interpretability	NOUN
ajst-21777	120	37	.	.	PUNCT
ajst-21777	121	1	5	5	X
ajst-21777	121	2	.	.	X
ajst-21777	121	3	challenges	challenge	NOUN
ajst-21777	121	4	and	and	CCONJ
ajst-21777	121	5	future	future	ADJ
ajst-21777	121	6	directions	direction	NOUN
ajst-21777	121	7	despite	despite	SCONJ
ajst-21777	121	8	significant	significant	ADJ
ajst-21777	121	9	progress	progress	NOUN
ajst-21777	121	10	in	in	ADP
ajst-21777	121	11	semi	semi	ADJ
ajst-21777	121	12	-	-	ADJ
ajst-21777	121	13	supervised	supervised	ADJ
ajst-21777	121	14	medical	medical	ADJ
ajst-21777	121	15	image	image	NOUN
ajst-21777	121	16	segmentation	segmentation	NOUN
ajst-21777	121	17	based	base	VERB
ajst-21777	121	18	on	on	ADP
ajst-21777	121	19	u	u	NOUN
ajst-21777	121	20	-	-	NOUN
ajst-21777	121	21	net	net	ADJ
ajst-21777	121	22	,	,	PUNCT
ajst-21777	121	23	several	several	ADJ
ajst-21777	121	24	challenges	challenge	NOUN
ajst-21777	121	25	remain	remain	VERB
ajst-21777	121	26	:	:	PUNCT
ajst-21777	121	27	5.1	5.1	NUM
ajst-21777	121	28	.	.	PUNCT
ajst-21777	121	29	scarcity	scarcity	NOUN
ajst-21777	121	30	and	and	CCONJ
ajst-21777	121	31	imbalance	imbalance	NOUN
ajst-21777	121	32	of	of	ADP
ajst-21777	121	33	annotated	annotate	VERB
ajst-21777	121	34	data	datum	NOUN
ajst-21777	121	35	in	in	ADP
ajst-21777	121	36	medical	medical	ADJ
ajst-21777	121	37	image	image	NOUN
ajst-21777	121	38	segmentation	segmentation	NOUN
ajst-21777	121	39	tasks	task	NOUN
ajst-21777	121	40	,	,	PUNCT
ajst-21777	121	41	high	high	ADJ
ajst-21777	121	42	-	-	PUNCT
ajst-21777	121	43	quality	quality	NOUN
ajst-21777	121	44	annotated	annotate	VERB
ajst-21777	121	45	data	datum	NOUN
ajst-21777	121	46	are	be	AUX
ajst-21777	121	47	often	often	ADV
ajst-21777	121	48	difficult	difficult	ADJ
ajst-21777	121	49	to	to	PART
ajst-21777	121	50	obtain	obtain	VERB
ajst-21777	121	51	,	,	PUNCT
ajst-21777	121	52	and	and	CCONJ
ajst-21777	121	53	in	in	ADP
ajst-21777	121	54	some	some	DET
ajst-21777	121	55	cases	case	NOUN
ajst-21777	121	56	,	,	PUNCT
ajst-21777	121	57	there	there	PRON
ajst-21777	121	58	can	can	AUX
ajst-21777	121	59	be	be	AUX
ajst-21777	121	60	a	a	DET
ajst-21777	121	61	severe	severe	ADJ
ajst-21777	121	62	imbalance	imbalance	NOUN
ajst-21777	121	63	between	between	ADP
ajst-21777	121	64	different	different	ADJ
ajst-21777	121	65	classes	class	NOUN
ajst-21777	121	66	of	of	ADP
ajst-21777	121	67	annotated	annotate	VERB
ajst-21777	121	68	data	datum	NOUN
ajst-21777	121	69	,	,	PUNCT
ajst-21777	121	70	such	such	ADJ
ajst-21777	121	71	as	as	ADP
ajst-21777	121	72	between	between	ADP
ajst-21777	121	73	images	image	NOUN
ajst-21777	121	74	of	of	ADP
ajst-21777	121	75	normal	normal	ADJ
ajst-21777	121	76	tissue	tissue	NOUN
ajst-21777	121	77	and	and	CCONJ
ajst-21777	121	78	pathological	pathological	ADJ
ajst-21777	121	79	tissue	tissue	NOUN
ajst-21777	121	80	.	.	PUNCT
ajst-21777	122	1	this	this	DET
ajst-21777	122	2	imbalance	imbalance	NOUN
ajst-21777	122	3	can	can	AUX
ajst-21777	122	4	negatively	negatively	ADV
ajst-21777	122	5	impact	impact	VERB
ajst-21777	122	6	the	the	DET
ajst-21777	122	7	training	training	NOUN
ajst-21777	122	8	effectiveness	effectiveness	NOUN
ajst-21777	122	9	of	of	ADP
ajst-21777	122	10	the	the	DET
ajst-21777	122	11	model	model	NOUN
ajst-21777	122	12	.	.	PUNCT
ajst-21777	123	1	5.2	5.2	NUM
ajst-21777	123	2	.	.	PUNCT
ajst-21777	123	3	noise	noise	NOUN
ajst-21777	123	4	and	and	CCONJ
ajst-21777	123	5	diversity	diversity	NOUN
ajst-21777	123	6	in	in	ADP
ajst-21777	123	7	unlabeled	unlabeled	ADJ
ajst-21777	123	8	data	datum	NOUN
ajst-21777	123	9	unlabeled	unlabele	VERB
ajst-21777	123	10	data	datum	NOUN
ajst-21777	123	11	may	may	AUX
ajst-21777	123	12	contain	contain	VERB
ajst-21777	123	13	noise	noise	NOUN
ajst-21777	123	14	or	or	CCONJ
ajst-21777	123	15	irrelevant	irrelevant	ADJ
ajst-21777	123	16	information	information	NOUN
ajst-21777	123	17	,	,	PUNCT
ajst-21777	123	18	and	and	CCONJ
ajst-21777	123	19	data	datum	NOUN
ajst-21777	123	20	from	from	ADP
ajst-21777	123	21	different	different	ADJ
ajst-21777	123	22	sources	source	NOUN
ajst-21777	123	23	may	may	AUX
ajst-21777	123	24	vary	vary	VERB
ajst-21777	123	25	in	in	ADP
ajst-21777	123	26	distribution	distribution	NOUN
ajst-21777	123	27	.	.	PUNCT
ajst-21777	124	1	effectively	effectively	ADV
ajst-21777	124	2	extracting	extract	VERB
ajst-21777	124	3	useful	useful	ADJ
ajst-21777	124	4	information	information	NOUN
ajst-21777	124	5	from	from	ADP
ajst-21777	124	6	these	these	DET
ajst-21777	124	7	unlabeled	unlabele	VERB
ajst-21777	124	8	data	datum	NOUN
ajst-21777	124	9	and	and	CCONJ
ajst-21777	124	10	minimizing	minimize	VERB
ajst-21777	124	11	the	the	DET
ajst-21777	124	12	impact	impact	NOUN
ajst-21777	124	13	of	of	ADP
ajst-21777	124	14	noise	noise	NOUN
ajst-21777	124	15	on	on	ADP
ajst-21777	124	16	the	the	DET
ajst-21777	124	17	model	model	NOUN
ajst-21777	124	18	are	be	AUX
ajst-21777	124	19	critical	critical	ADJ
ajst-21777	124	20	issues	issue	NOUN
ajst-21777	124	21	that	that	PRON
ajst-21777	124	22	semi	semi	ADJ
ajst-21777	124	23	-	-	ADJ
ajst-21777	124	24	supervised	supervised	ADJ
ajst-21777	124	25	learning	learning	NOUN
ajst-21777	124	26	must	must	AUX
ajst-21777	124	27	address	address	VERB
ajst-21777	124	28	.	.	PUNCT
ajst-21777	125	1	5.3	5.3	NUM
ajst-21777	125	2	.	.	PUNCT
ajst-21777	125	3	design	design	NOUN
ajst-21777	125	4	of	of	ADP
ajst-21777	125	5	consistency	consistency	NOUN
ajst-21777	125	6	constraints	constraint	NOUN
ajst-21777	125	7	in	in	ADP
ajst-21777	125	8	semi	semi	ADJ
ajst-21777	125	9	-	-	ADJ
ajst-21777	125	10	supervised	supervised	ADJ
ajst-21777	125	11	medical	medical	ADJ
ajst-21777	125	12	image	image	NOUN
ajst-21777	125	13	learning	learning	NOUN
ajst-21777	125	14	using	use	VERB
ajst-21777	125	15	u	u	NOUN
ajst-21777	125	16	-	-	NOUN
ajst-21777	125	17	net	net	ADJ
ajst-21777	125	18	,	,	PUNCT
ajst-21777	125	19	designing	design	VERB
ajst-21777	125	20	effective	effective	ADJ
ajst-21777	125	21	consistency	consistency	NOUN
ajst-21777	125	22	constraints	constraint	NOUN
ajst-21777	125	23	is	be	AUX
ajst-21777	125	24	crucial	crucial	ADJ
ajst-21777	125	25	to	to	PART
ajst-21777	125	26	ensure	ensure	VERB
ajst-21777	125	27	that	that	SCONJ
ajst-21777	125	28	the	the	DET
ajst-21777	125	29	model	model	NOUN
ajst-21777	125	30	learns	learn	VERB
ajst-21777	125	31	from	from	ADP
ajst-21777	125	32	unlabeled	unlabeled	ADJ
ajst-21777	125	33	data	datum	NOUN
ajst-21777	125	34	.	.	PUNCT
ajst-21777	126	1	these	these	DET
ajst-21777	126	2	constraints	constraint	NOUN
ajst-21777	126	3	help	help	VERB
ajst-21777	126	4	maintain	maintain	VERB
ajst-21777	126	5	stable	stable	ADJ
ajst-21777	126	6	outputs	output	NOUN
ajst-21777	126	7	in	in	ADP
ajst-21777	126	8	response	response	NOUN
ajst-21777	126	9	to	to	ADP
ajst-21777	126	10	minor	minor	ADJ
ajst-21777	126	11	input	input	NOUN
ajst-21777	126	12	variations	variation	NOUN
ajst-21777	126	13	and	and	CCONJ
ajst-21777	126	14	are	be	AUX
ajst-21777	126	15	key	key	ADJ
ajst-21777	126	16	to	to	ADP
ajst-21777	126	17	improving	improve	VERB
ajst-21777	126	18	model	model	NOUN
ajst-21777	126	19	generalization	generalization	NOUN
ajst-21777	126	20	.	.	PUNCT
ajst-21777	127	1	152	152	NUM
ajst-21777	127	2	5.4	5.4	NUM
ajst-21777	127	3	.	.	PUNCT
ajst-21777	127	4	model	model	NOUN
ajst-21777	127	5	generalization	generalization	NOUN
ajst-21777	127	6	and	and	CCONJ
ajst-21777	127	7	overfitting	overfitting	NOUN
ajst-21777	127	8	due	due	ADP
ajst-21777	127	9	to	to	ADP
ajst-21777	127	10	the	the	DET
ajst-21777	127	11	limitations	limitation	NOUN
ajst-21777	127	12	of	of	ADP
ajst-21777	127	13	labeled	label	VERB
ajst-21777	127	14	data	datum	NOUN
ajst-21777	127	15	,	,	PUNCT
ajst-21777	127	16	semi	semi	ADJ
ajst-21777	127	17	-	-	ADJ
ajst-21777	127	18	supervised	supervised	ADJ
ajst-21777	127	19	medical	medical	ADJ
ajst-21777	127	20	image	image	NOUN
ajst-21777	127	21	segmentation	segmentation	NOUN
ajst-21777	127	22	models	model	NOUN
ajst-21777	127	23	based	base	VERB
ajst-21777	127	24	on	on	ADP
ajst-21777	127	25	u	u	NOUN
ajst-21777	127	26	-	-	NOUN
ajst-21777	127	27	net	net	ADJ
ajst-21777	127	28	sometimes	sometimes	ADV
ajst-21777	127	29	struggle	struggle	VERB
ajst-21777	127	30	to	to	PART
ajst-21777	127	31	generalize	generalize	VERB
ajst-21777	127	32	to	to	ADP
ajst-21777	127	33	unseen	unseen	ADJ
ajst-21777	127	34	data	datum	NOUN
ajst-21777	127	35	,	,	PUNCT
ajst-21777	127	36	especially	especially	ADV
ajst-21777	127	37	when	when	SCONJ
ajst-21777	127	38	there	there	PRON
ajst-21777	127	39	is	be	VERB
ajst-21777	127	40	a	a	DET
ajst-21777	127	41	significant	significant	ADJ
ajst-21777	127	42	discrepancy	discrepancy	NOUN
ajst-21777	127	43	between	between	ADP
ajst-21777	127	44	the	the	DET
ajst-21777	127	45	distributions	distribution	NOUN
ajst-21777	127	46	of	of	ADP
ajst-21777	127	47	unlabeled	unlabeled	ADJ
ajst-21777	127	48	and	and	CCONJ
ajst-21777	127	49	labeled	label	VERB
ajst-21777	127	50	data	datum	NOUN
ajst-21777	127	51	.	.	PUNCT
ajst-21777	128	1	moreover	moreover	ADV
ajst-21777	128	2	,	,	PUNCT
ajst-21777	128	3	models	model	NOUN
ajst-21777	128	4	may	may	AUX
ajst-21777	128	5	overfit	overfit	VERB
ajst-21777	128	6	to	to	ADP
ajst-21777	128	7	the	the	DET
ajst-21777	128	8	small	small	ADJ
ajst-21777	128	9	amount	amount	NOUN
ajst-21777	128	10	of	of	ADP
ajst-21777	128	11	labeled	label	VERB
ajst-21777	128	12	data	datum	NOUN
ajst-21777	128	13	available	available	ADJ
ajst-21777	128	14	,	,	PUNCT
ajst-21777	128	15	affecting	affect	VERB
ajst-21777	128	16	their	their	PRON
ajst-21777	128	17	performance	performance	NOUN
ajst-21777	128	18	in	in	ADP
ajst-21777	128	19	practical	practical	ADJ
ajst-21777	128	20	applications	application	NOUN
ajst-21777	128	21	.	.	PUNCT
ajst-21777	129	1	5.5	5.5	NUM
ajst-21777	129	2	.	.	PUNCT
ajst-21777	129	3	difficulties	difficulty	NOUN
ajst-21777	129	4	in	in	ADP
ajst-21777	129	5	evaluation	evaluation	NOUN
ajst-21777	129	6	and	and	CCONJ
ajst-21777	129	7	validation	validation	NOUN
ajst-21777	129	8	in	in	ADP
ajst-21777	129	9	semi	semi	ADJ
ajst-21777	129	10	-	-	ADJ
ajst-21777	129	11	supervised	supervised	ADJ
ajst-21777	129	12	learning	learning	NOUN
ajst-21777	129	13	,	,	PUNCT
ajst-21777	129	14	since	since	SCONJ
ajst-21777	129	15	most	most	ADJ
ajst-21777	129	16	data	datum	NOUN
ajst-21777	129	17	are	be	AUX
ajst-21777	129	18	unlabeled	unlabele	VERB
ajst-21777	129	19	,	,	PUNCT
ajst-21777	129	20	traditional	traditional	ADJ
ajst-21777	129	21	performance	performance	NOUN
ajst-21777	129	22	metrics	metric	NOUN
ajst-21777	129	23	such	such	ADJ
ajst-21777	129	24	as	as	ADP
ajst-21777	129	25	accuracy	accuracy	NOUN
ajst-21777	129	26	and	and	CCONJ
ajst-21777	129	27	recall	recall	NOUN
ajst-21777	129	28	may	may	AUX
ajst-21777	129	29	not	not	PART
ajst-21777	129	30	adequately	adequately	ADV
ajst-21777	129	31	reflect	reflect	VERB
ajst-21777	129	32	the	the	DET
ajst-21777	129	33	model	model	NOUN
ajst-21777	129	34	's	's	PART
ajst-21777	129	35	performance	performance	NOUN
ajst-21777	129	36	.	.	PUNCT
ajst-21777	130	1	developing	develop	VERB
ajst-21777	130	2	new	new	ADJ
ajst-21777	130	3	evaluation	evaluation	NOUN
ajst-21777	130	4	metrics	metric	NOUN
ajst-21777	130	5	or	or	CCONJ
ajst-21777	130	6	validation	validation	NOUN
ajst-21777	130	7	methods	method	NOUN
ajst-21777	130	8	to	to	PART
ajst-21777	130	9	accurately	accurately	ADV
ajst-21777	130	10	assess	assess	VERB
ajst-21777	130	11	model	model	NOUN
ajst-21777	130	12	performance	performance	NOUN
ajst-21777	130	13	on	on	ADP
ajst-21777	130	14	unlabeled	unlabeled	ADJ
ajst-21777	130	15	data	datum	NOUN
ajst-21777	130	16	is	be	AUX
ajst-21777	130	17	a	a	DET
ajst-21777	130	18	current	current	ADJ
ajst-21777	130	19	research	research	NOUN
ajst-21777	130	20	challenge	challenge	NOUN
ajst-21777	130	21	.	.	PUNCT
ajst-21777	131	1	5.6	5.6	NUM
ajst-21777	131	2	.	.	X
ajst-21777	132	1	cross	cross	NOUN
ajst-21777	132	2	-	-	NOUN
ajst-21777	132	3	modality	modality	NOUN
ajst-21777	132	4	and	and	CCONJ
ajst-21777	132	5	cross	cross	ADJ
ajst-21777	132	6	-	-	ADJ
ajst-21777	132	7	domain	domain	ADJ
ajst-21777	132	8	adaptability	adaptability	NOUN
ajst-21777	132	9	medical	medical	ADJ
ajst-21777	132	10	imaging	imaging	NOUN
ajst-21777	132	11	data	datum	NOUN
ajst-21777	132	12	come	come	VERB
ajst-21777	132	13	from	from	ADP
ajst-21777	132	14	diverse	diverse	ADJ
ajst-21777	132	15	sources	source	NOUN
ajst-21777	132	16	,	,	PUNCT
ajst-21777	132	17	and	and	CCONJ
ajst-21777	132	18	different	different	ADJ
ajst-21777	132	19	imaging	imaging	NOUN
ajst-21777	132	20	techniques	technique	NOUN
ajst-21777	132	21	(	(	PUNCT
ajst-21777	132	22	such	such	ADJ
ajst-21777	132	23	as	as	ADP
ajst-21777	132	24	ct	ct	NUM
ajst-21777	132	25	and	and	CCONJ
ajst-21777	132	26	mri	mri	NOUN
ajst-21777	132	27	)	)	PUNCT
ajst-21777	132	28	and	and	CCONJ
ajst-21777	132	29	clinical	clinical	ADJ
ajst-21777	132	30	scenarios	scenario	NOUN
ajst-21777	132	31	pose	pose	VERB
ajst-21777	132	32	higher	high	ADJ
ajst-21777	132	33	demands	demand	NOUN
ajst-21777	132	34	on	on	ADP
ajst-21777	132	35	segmentation	segmentation	NOUN
ajst-21777	132	36	models	model	NOUN
ajst-21777	132	37	.	.	PUNCT
ajst-21777	133	1	designing	design	VERB
ajst-21777	133	2	semi	semi	ADJ
ajst-21777	133	3	-	-	ADJ
ajst-21777	133	4	supervised	supervised	ADJ
ajst-21777	133	5	learning	learning	NOUN
ajst-21777	133	6	models	model	NOUN
ajst-21777	133	7	that	that	PRON
ajst-21777	133	8	can	can	AUX
ajst-21777	133	9	operate	operate	VERB
ajst-21777	133	10	across	across	ADP
ajst-21777	133	11	different	different	ADJ
ajst-21777	133	12	modalities	modality	NOUN
ajst-21777	133	13	and	and	CCONJ
ajst-21777	133	14	domains	domain	NOUN
ajst-21777	133	15	is	be	AUX
ajst-21777	133	16	a	a	DET
ajst-21777	133	17	direction	direction	NOUN
ajst-21777	133	18	for	for	ADP
ajst-21777	133	19	future	future	ADJ
ajst-21777	133	20	research	research	NOUN
ajst-21777	133	21	.	.	PUNCT
ajst-21777	134	1	in	in	ADP
ajst-21777	134	2	summary	summary	NOUN
ajst-21777	134	3	,	,	PUNCT
ajst-21777	134	4	research	research	NOUN
ajst-21777	134	5	in	in	ADP
ajst-21777	134	6	the	the	DET
ajst-21777	134	7	field	field	NOUN
ajst-21777	134	8	of	of	ADP
ajst-21777	134	9	semi	semi	ADJ
ajst-21777	134	10	-	-	ADJ
ajst-21777	134	11	supervised	supervised	ADJ
ajst-21777	134	12	medical	medical	ADJ
ajst-21777	134	13	image	image	NOUN
ajst-21777	134	14	segmentation	segmentation	NOUN
ajst-21777	134	15	based	base	VERB
ajst-21777	134	16	on	on	ADP
ajst-21777	134	17	u	u	NOUN
ajst-21777	134	18	-	-	NOUN
ajst-21777	134	19	net	net	ADJ
ajst-21777	134	20	must	must	AUX
ajst-21777	134	21	continue	continue	VERB
ajst-21777	134	22	to	to	PART
ajst-21777	134	23	overcome	overcome	VERB
ajst-21777	134	24	these	these	DET
ajst-21777	134	25	challenges	challenge	NOUN
ajst-21777	134	26	to	to	PART
ajst-21777	134	27	develop	develop	VERB
ajst-21777	134	28	more	more	ADV
ajst-21777	134	29	accurate	accurate	ADJ
ajst-21777	134	30	and	and	CCONJ
ajst-21777	134	31	generalizable	generalizable	ADJ
ajst-21777	134	32	segmentation	segmentation	NOUN
ajst-21777	134	33	models	model	NOUN
ajst-21777	134	34	that	that	PRON
ajst-21777	134	35	meet	meet	VERB
ajst-21777	134	36	clinical	clinical	ADJ
ajst-21777	134	37	application	application	NOUN
ajst-21777	134	38	needs	need	NOUN
ajst-21777	134	39	.	.	PUNCT
ajst-21777	135	1	6	6	X
ajst-21777	135	2	.	.	X
ajst-21777	135	3	conclusion	conclusion	NOUN
ajst-21777	135	4	semi	semi	ADJ
ajst-21777	135	5	-	-	ADJ
ajst-21777	135	6	supervised	supervised	ADJ
ajst-21777	135	7	medical	medical	ADJ
ajst-21777	135	8	image	image	NOUN
ajst-21777	135	9	segmentation	segmentation	NOUN
ajst-21777	135	10	technology	technology	NOUN
ajst-21777	135	11	based	base	VERB
ajst-21777	135	12	on	on	ADP
ajst-21777	135	13	u	u	NOUN
ajst-21777	135	14	-	-	NOUN
ajst-21777	135	15	net	net	ADJ
ajst-21777	135	16	has	have	AUX
ajst-21777	135	17	evolved	evolve	VERB
ajst-21777	135	18	from	from	ADP
ajst-21777	135	19	its	its	PRON
ajst-21777	135	20	original	original	ADJ
ajst-21777	135	21	model	model	NOUN
ajst-21777	135	22	architecture	architecture	NOUN
ajst-21777	135	23	and	and	CCONJ
ajst-21777	135	24	basic	basic	ADJ
ajst-21777	135	25	semi	semi	ADJ
ajst-21777	135	26	-	-	ADJ
ajst-21777	135	27	supervised	supervised	ADJ
ajst-21777	135	28	learning	learning	NOUN
ajst-21777	135	29	strategies	strategy	NOUN
ajst-21777	135	30	to	to	PART
ajst-21777	135	31	now	now	ADV
ajst-21777	135	32	encompass	encompass	VERB
ajst-21777	135	33	a	a	DET
ajst-21777	135	34	variety	variety	NOUN
ajst-21777	135	35	of	of	ADP
ajst-21777	135	36	innovative	innovative	ADJ
ajst-21777	135	37	algorithms	algorithm	NOUN
ajst-21777	135	38	and	and	CCONJ
ajst-21777	135	39	broadly	broadly	ADV
ajst-21777	135	40	applied	apply	VERB
ajst-21777	135	41	research	research	NOUN
ajst-21777	135	42	fields	field	NOUN
ajst-21777	135	43	.	.	PUNCT
ajst-21777	136	1	as	as	SCONJ
ajst-21777	136	2	new	new	ADJ
ajst-21777	136	3	technologies	technology	NOUN
ajst-21777	136	4	continue	continue	VERB
ajst-21777	136	5	to	to	PART
ajst-21777	136	6	emerge	emerge	VERB
ajst-21777	136	7	and	and	CCONJ
ajst-21777	136	8	medical	medical	ADJ
ajst-21777	136	9	imaging	imaging	NOUN
ajst-21777	136	10	data	datum	NOUN
ajst-21777	136	11	grows	grow	VERB
ajst-21777	136	12	,	,	PUNCT
ajst-21777	136	13	this	this	DET
ajst-21777	136	14	area	area	NOUN
ajst-21777	136	15	is	be	AUX
ajst-21777	136	16	expected	expect	VERB
ajst-21777	136	17	to	to	PART
ajst-21777	136	18	maintain	maintain	VERB
ajst-21777	136	19	a	a	DET
ajst-21777	136	20	rapid	rapid	ADJ
ajst-21777	136	21	development	development	NOUN
ajst-21777	136	22	pace	pace	NOUN
ajst-21777	136	23	,	,	PUNCT
ajst-21777	136	24	offering	offer	VERB
ajst-21777	136	25	increasingly	increasingly	ADV
ajst-21777	136	26	accurate	accurate	ADJ
ajst-21777	136	27	and	and	CCONJ
ajst-21777	136	28	efficient	efficient	ADJ
ajst-21777	136	29	tools	tool	NOUN
ajst-21777	136	30	for	for	ADP
ajst-21777	136	31	medical	medical	ADJ
ajst-21777	136	32	diagnostics	diagnostic	NOUN
ajst-21777	136	33	and	and	CCONJ
ajst-21777	136	34	treatment	treatment	NOUN
ajst-21777	136	35	.	.	PUNCT
ajst-21777	137	1	in	in	ADP
ajst-21777	137	2	response	response	NOUN
ajst-21777	137	3	to	to	ADP
ajst-21777	137	4	the	the	DET
ajst-21777	137	5	challenges	challenge	NOUN
ajst-21777	137	6	and	and	CCONJ
ajst-21777	137	7	adjustments	adjustment	NOUN
ajst-21777	137	8	facing	face	VERB
ajst-21777	137	9	semi	semi	ADJ
ajst-21777	137	10	-	-	ADJ
ajst-21777	137	11	supervised	supervised	ADJ
ajst-21777	137	12	medical	medical	ADJ
ajst-21777	137	13	image	image	NOUN
ajst-21777	137	14	segmentation	segmentation	NOUN
ajst-21777	137	15	based	base	VERB
ajst-21777	137	16	on	on	ADP
ajst-21777	137	17	u	u	NOUN
ajst-21777	137	18	-	-	NOUN
ajst-21777	137	19	net	net	ADJ
ajst-21777	137	20	,	,	PUNCT
ajst-21777	137	21	researchers	researcher	NOUN
ajst-21777	137	22	need	need	VERB
ajst-21777	137	23	to	to	PART
ajst-21777	137	24	persist	persist	VERB
ajst-21777	137	25	in	in	ADP
ajst-21777	137	26	exploring	explore	VERB
ajst-21777	137	27	new	new	ADJ
ajst-21777	137	28	improvements	improvement	NOUN
ajst-21777	137	29	to	to	PART
ajst-21777	137	30	enhance	enhance	VERB
ajst-21777	137	31	the	the	DET
ajst-21777	137	32	resolution	resolution	NOUN
ajst-21777	137	33	of	of	ADP
ajst-21777	137	34	issues	issue	NOUN
ajst-21777	137	35	within	within	ADP
ajst-21777	137	36	this	this	DET
ajst-21777	137	37	technology	technology	NOUN
ajst-21777	137	38	,	,	PUNCT
ajst-21777	137	39	driving	drive	VERB
ajst-21777	137	40	its	its	PRON
ajst-21777	137	41	evolution	evolution	NOUN
ajst-21777	137	42	towards	towards	ADP
ajst-21777	137	43	greater	great	ADJ
ajst-21777	137	44	efficiency	efficiency	NOUN
ajst-21777	137	45	,	,	PUNCT
ajst-21777	137	46	precision	precision	NOUN
ajst-21777	137	47	,	,	PUNCT
ajst-21777	137	48	and	and	CCONJ
ajst-21777	137	49	intelligence	intelligence	NOUN
ajst-21777	137	50	.	.	PUNCT
ajst-21777	138	1	acknowledgement	acknowledgement	NOUN
ajst-21777	138	2	the	the	DET
ajst-21777	138	3	authors	author	NOUN
ajst-21777	138	4	are	be	AUX
ajst-21777	138	5	grateful	grateful	ADJ
ajst-21777	138	6	to	to	ADP
ajst-21777	138	7	the	the	DET
ajst-21777	138	8	management	management	NOUN
ajst-21777	138	9	and	and	CCONJ
ajst-21777	138	10	science	science	NOUN
ajst-21777	138	11	university	university	PROPN
ajst-21777	138	12	in	in	ADP
ajst-21777	138	13	malaysia	malaysia	PROPN
ajst-21777	138	14	,	,	PUNCT
ajst-21777	138	15	guangzhou	guangzhou	PROPN
ajst-21777	138	16	college	college	PROPN
ajst-21777	138	17	of	of	ADP
ajst-21777	138	18	commerce	commerce	PROPN
ajst-21777	138	19	in	in	ADP
ajst-21777	138	20	china	china	PROPN
ajst-21777	138	21	,	,	PUNCT
ajst-21777	138	22	and	and	CCONJ
ajst-21777	138	23	the	the	DET
ajst-21777	138	24	university	university	NOUN
ajst-21777	138	25	of	of	ADP
ajst-21777	138	26	mosul	mosul	PROPN
ajst-21777	138	27	in	in	ADP
ajst-21777	138	28	iraq	iraq	PROPN
ajst-21777	138	29	for	for	ADP
ajst-21777	138	30	their	their	PRON
ajst-21777	138	31	supports	support	NOUN
ajst-21777	138	32	.	.	PUNCT
ajst-21777	139	1	this	this	DET
ajst-21777	139	2	work	work	NOUN
ajst-21777	139	3	is	be	AUX
ajst-21777	139	4	funded	fund	VERB
ajst-21777	139	5	by	by	ADP
ajst-21777	139	6	guangdong	guangdong	PROPN
ajst-21777	139	7	provincial	provincial	ADJ
ajst-21777	139	8	education	education	PROPN
ajst-21777	139	9	science	science	NOUN
ajst-21777	139	10	foundation	foundation	NOUN
ajst-21777	139	11	[	[	X
ajst-21777	139	12	grant	grant	NOUN
ajst-21777	139	13	number	number	NOUN
ajst-21777	139	14	:	:	PUNCT
ajst-21777	139	15	2023gxjk407	2023gxjk407	NUM
ajst-21777	139	16	]	]	PUNCT
ajst-21777	139	17	,	,	PUNCT
ajst-21777	139	18	the	the	DET
ajst-21777	139	19	scientific	scientific	ADJ
ajst-21777	139	20	research	research	NOUN
ajst-21777	139	21	foundation	foundation	NOUN
ajst-21777	139	22	of	of	ADP
ajst-21777	139	23	guangzhou	guangzhou	PROPN
ajst-21777	140	1	[	[	X
ajst-21777	140	2	grant	grant	PROPN
ajst-21777	140	3	number	number	NOUN
ajst-21777	140	4	:	:	PUNCT
ajst-21777	140	5	202201011667	202201011667	NUM
ajst-21777	140	6	]	]	PUNCT
ajst-21777	140	7	,	,	PUNCT
ajst-21777	140	8	the	the	DET
ajst-21777	140	9	philosophy	philosophy	NOUN
ajst-21777	140	10	and	and	CCONJ
ajst-21777	140	11	social	social	ADJ
ajst-21777	140	12	science	science	NOUN
ajst-21777	140	13	foundation	foundation	PROPN
ajst-21777	140	14	of	of	ADP
ajst-21777	140	15	guangzhou	guangzhou	PROPN
ajst-21777	141	1	[	[	X
ajst-21777	141	2	grant	grant	NOUN
ajst-21777	141	3	number	number	NOUN
ajst-21777	141	4	:	:	PUNCT
ajst-21777	141	5	2021gzgj145	2021gzgj145	NUM
ajst-21777	141	6	]	]	X
ajst-21777	141	7	,	,	PUNCT
ajst-21777	141	8	the	the	DET
ajst-21777	141	9	guangdong	guangdong	PROPN
ajst-21777	141	10	province	province	PROPN
ajst-21777	141	11	undergraduate	undergraduate	NOUN
ajst-21777	141	12	teaching	teaching	NOUN
ajst-21777	141	13	quality	quality	NOUN
ajst-21777	141	14	and	and	CCONJ
ajst-21777	141	15	teaching	teach	VERB
ajst-21777	141	16	reform	reform	NOUN
ajst-21777	141	17	engineering	engineering	NOUN
ajst-21777	141	18	construction	construction	NOUN
ajst-21777	141	19	project	project	NOUN
ajst-21777	141	20	(	(	PUNCT
ajst-21777	141	21	2022sjjxgg992	2022sjjxgg992	NUM
ajst-21777	141	22	)	)	PUNCT
ajst-21777	141	23	,	,	PUNCT
ajst-21777	141	24	the	the	DET
ajst-21777	141	25	school	school	NOUN
ajst-21777	141	26	level	level	NOUN
ajst-21777	141	27	scientific	scientific	ADJ
ajst-21777	141	28	research	research	NOUN
ajst-21777	141	29	project	project	NOUN
ajst-21777	141	30	of	of	ADP
ajst-21777	141	31	guangzhou	guangzhou	PROPN
ajst-21777	141	32	business	business	PROPN
ajst-21777	141	33	school	school	NOUN
ajst-21777	141	34	(	(	PUNCT
ajst-21777	141	35	2023xjyb33	2023xjyb33	NUM
ajst-21777	141	36	)	)	PUNCT
ajst-21777	141	37	references	reference	NOUN
ajst-21777	141	38	[	[	X
ajst-21777	141	39	1	1	NUM
ajst-21777	141	40	]	]	X
ajst-21777	141	41	akbar	akbar	NOUN
ajst-21777	141	42	,	,	PUNCT
ajst-21777	141	43	a.	a.	PROPN
ajst-21777	141	44	s.	s.	PROPN
ajst-21777	141	45	,	,	PUNCT
ajst-21777	141	46	fatichah	fatichah	NOUN
ajst-21777	141	47	,	,	PUNCT
ajst-21777	141	48	c.	c.	PROPN
ajst-21777	141	49	,	,	PUNCT
ajst-21777	141	50	suciati	suciati	PROPN
ajst-21777	141	51	,	,	PUNCT
ajst-21777	141	52	n.	n.	PROPN
ajst-21777	141	53	j.	j.	PROPN
ajst-21777	141	54	j.	j.	PROPN
ajst-21777	141	55	o.	o.	PROPN
ajst-21777	141	56	k.	k.	PROPN
ajst-21777	141	57	s.	s.	PROPN
ajst-21777	141	58	u.-c	u.-c	PROPN
ajst-21777	141	59	.	.	PUNCT
ajst-21777	141	60	,	,	PUNCT
ajst-21777	141	61	&	&	CCONJ
ajst-21777	141	62	sciences	sciences	PROPN
ajst-21777	141	63	,	,	PUNCT
ajst-21777	141	64	i.	i.	NOUN
ajst-21777	141	65	(	(	PUNCT
ajst-21777	141	66	2022	2022	NUM
ajst-21777	141	67	)	)	PUNCT
ajst-21777	141	68	.	.	PUNCT
ajst-21777	142	1	single	single	ADJ
ajst-21777	142	2	level	level	NOUN
ajst-21777	142	3	unet3d	unet3d	PROPN
ajst-21777	142	4	with	with	ADP
ajst-21777	142	5	multipath	multipath	NOUN
ajst-21777	142	6	residual	residual	ADJ
ajst-21777	142	7	attention	attention	NOUN
ajst-21777	142	8	block	block	NOUN
ajst-21777	142	9	for	for	ADP
ajst-21777	142	10	brain	brain	NOUN
ajst-21777	142	11	tumor	tumor	NOUN
ajst-21777	142	12	segmentation	segmentation	NOUN
ajst-21777	142	13	.	.	PUNCT
ajst-21777	143	1	34(6	34(6	NUM
ajst-21777	143	2	)	)	PUNCT
ajst-21777	143	3	,	,	PUNCT
ajst-21777	143	4	3247	3247	NUM
ajst-21777	143	5	-	-	SYM
ajst-21777	143	6	3258	3258	NUM
ajst-21777	143	7	.	.	PUNCT
ajst-21777	144	1	[	[	X
ajst-21777	144	2	2	2	NUM
ajst-21777	144	3	]	]	PUNCT
ajst-21777	144	4	alom	alom	NOUN
ajst-21777	144	5	,	,	PUNCT
ajst-21777	144	6	m.	m.	NOUN
ajst-21777	144	7	z.	z.	PROPN
ajst-21777	144	8	,	,	PUNCT
ajst-21777	144	9	hasan	hasan	PROPN
ajst-21777	144	10	,	,	PUNCT
ajst-21777	144	11	m.	m.	NOUN
ajst-21777	144	12	,	,	PUNCT
ajst-21777	144	13	yakopcic	yakopcic	PROPN
ajst-21777	144	14	,	,	PUNCT
ajst-21777	144	15	c.	c.	PROPN
ajst-21777	144	16	,	,	PUNCT
ajst-21777	144	17	taha	taha	PROPN
ajst-21777	144	18	,	,	PUNCT
ajst-21777	144	19	t.	t.	NOUN
ajst-21777	144	20	m.	m.	NOUN
ajst-21777	144	21	,	,	PUNCT
ajst-21777	144	22	&	&	CCONJ
ajst-21777	144	23	asari	asari	PROPN
ajst-21777	144	24	,	,	PUNCT
ajst-21777	144	25	v.	v.	PROPN
ajst-21777	144	26	k.	k.	PROPN
ajst-21777	144	27	j.	j.	PROPN
ajst-21777	144	28	a.	a.	PROPN
ajst-21777	144	29	p.	p.	PROPN
ajst-21777	144	30	a.	a.	NOUN
ajst-21777	144	31	(	(	PUNCT
ajst-21777	144	32	2018	2018	NUM
ajst-21777	144	33	)	)	PUNCT
ajst-21777	144	34	.	.	PUNCT
ajst-21777	145	1	recurrent	recurrent	VERB
ajst-21777	145	2	residual	residual	ADJ
ajst-21777	145	3	convolutional	convolutional	ADJ
ajst-21777	145	4	neural	neural	ADJ
ajst-21777	145	5	network	network	NOUN
ajst-21777	145	6	based	base	VERB
ajst-21777	145	7	on	on	ADP
ajst-21777	145	8	u	u	NOUN
ajst-21777	145	9	-	-	NOUN
ajst-21777	145	10	net	net	ADJ
ajst-21777	145	11	(	(	PUNCT
ajst-21777	145	12	r2u	r2u	NOUN
ajst-21777	145	13	-	-	PUNCT
ajst-21777	145	14	net	net	NOUN
ajst-21777	145	15	)	)	PUNCT
ajst-21777	145	16	for	for	ADP
ajst-21777	145	17	medical	medical	ADJ
ajst-21777	145	18	image	image	NOUN
ajst-21777	145	19	segmentation	segmentation	NOUN
ajst-21777	145	20	.	.	PUNCT
ajst-21777	146	1	[	[	X
ajst-21777	146	2	3	3	NUM
ajst-21777	146	3	]	]	X
ajst-21777	146	4	anand	anand	PROPN
ajst-21777	146	5	,	,	PUNCT
ajst-21777	146	6	v.	v.	PROPN
ajst-21777	146	7	,	,	PUNCT
ajst-21777	146	8	gupta	gupta	PROPN
ajst-21777	146	9	,	,	PUNCT
ajst-21777	146	10	s.	s.	PROPN
ajst-21777	146	11	,	,	PUNCT
ajst-21777	146	12	koundal	koundal	PROPN
ajst-21777	146	13	,	,	PUNCT
ajst-21777	146	14	d.	d.	PROPN
ajst-21777	146	15	,	,	PUNCT
ajst-21777	146	16	&	&	CCONJ
ajst-21777	146	17	singh	singh	PROPN
ajst-21777	146	18	,	,	PUNCT
ajst-21777	146	19	k.	k.	PROPN
ajst-21777	146	20	j.	j.	PROPN
ajst-21777	146	21	e.	e.	PROPN
ajst-21777	146	22	s.	s.	PROPN
ajst-21777	146	23	w.	w.	PROPN
ajst-21777	146	24	a.	a.	PROPN
ajst-21777	146	25	(	(	PUNCT
ajst-21777	146	26	2023	2023	NUM
ajst-21777	146	27	)	)	PUNCT
ajst-21777	146	28	.	.	PUNCT
ajst-21777	147	1	fusion	fusion	NOUN
ajst-21777	147	2	of	of	ADP
ajst-21777	147	3	u	u	NOUN
ajst-21777	147	4	-	-	NOUN
ajst-21777	147	5	net	net	ADJ
ajst-21777	147	6	and	and	CCONJ
ajst-21777	147	7	cnn	cnn	PROPN
ajst-21777	147	8	model	model	NOUN
ajst-21777	147	9	for	for	ADP
ajst-21777	147	10	segmentation	segmentation	NOUN
ajst-21777	147	11	and	and	CCONJ
ajst-21777	147	12	classification	classification	NOUN
ajst-21777	147	13	of	of	ADP
ajst-21777	147	14	skin	skin	NOUN
ajst-21777	147	15	lesion	lesion	NOUN
ajst-21777	147	16	from	from	ADP
ajst-21777	147	17	dermoscopy	dermoscopy	NOUN
ajst-21777	147	18	images	image	NOUN
ajst-21777	147	19	.	.	PUNCT
ajst-21777	148	1	213	213	NUM
ajst-21777	148	2	,	,	PUNCT
ajst-21777	148	3	119230	119230	NUM
ajst-21777	148	4	.	.	PUNCT
ajst-21777	149	1	[	[	X
ajst-21777	149	2	4	4	NUM
ajst-21777	149	3	]	]	X
ajst-21777	149	4	awan	awan	PROPN
ajst-21777	149	5	,	,	PUNCT
ajst-21777	149	6	r.	r.	PROPN
ajst-21777	149	7	,	,	PUNCT
ajst-21777	149	8	sirinukunwattana	sirinukunwattana	PROPN
ajst-21777	149	9	,	,	PUNCT
ajst-21777	149	10	k.	k.	PROPN
ajst-21777	149	11	,	,	PUNCT
ajst-21777	149	12	epstein	epstein	PROPN
ajst-21777	149	13	,	,	PUNCT
ajst-21777	149	14	d.	d.	PROPN
ajst-21777	149	15	,	,	PUNCT
ajst-21777	149	16	jefferyes	jefferyes	PROPN
ajst-21777	149	17	,	,	PUNCT
ajst-21777	149	18	s.	s.	PROPN
ajst-21777	149	19	,	,	PUNCT
ajst-21777	149	20	qidwai	qidwai	PROPN
ajst-21777	149	21	,	,	PUNCT
ajst-21777	149	22	u.	u.	PROPN
ajst-21777	149	23	,	,	PUNCT
ajst-21777	149	24	aftab	aftab	PROPN
ajst-21777	149	25	,	,	PUNCT
ajst-21777	149	26	z.	z.	PROPN
ajst-21777	149	27	,	,	PUNCT
ajst-21777	149	28	.	.	PUNCT
ajst-21777	149	29	.	.	PUNCT
ajst-21777	149	30	.	.	PUNCT
ajst-21777	150	1	rajpoot	rajpoot	PROPN
ajst-21777	150	2	,	,	PUNCT
ajst-21777	150	3	n.	n.	PROPN
ajst-21777	150	4	j.	j.	PROPN
ajst-21777	150	5	s.	s.	PROPN
ajst-21777	150	6	r.	r.	PROPN
ajst-21777	150	7	(	(	PUNCT
ajst-21777	150	8	2017	2017	NUM
ajst-21777	150	9	)	)	PUNCT
ajst-21777	150	10	.	.	PUNCT
ajst-21777	151	1	glandular	glandular	ADJ
ajst-21777	151	2	morphometrics	morphometric	NOUN
ajst-21777	151	3	for	for	ADP
ajst-21777	151	4	objective	objective	ADJ
ajst-21777	151	5	grading	grading	NOUN
ajst-21777	151	6	of	of	ADP
ajst-21777	151	7	colorectal	colorectal	ADJ
ajst-21777	151	8	adenocarcinoma	adenocarcinoma	NOUN
ajst-21777	151	9	histology	histology	NOUN
ajst-21777	151	10	images	image	NOUN
ajst-21777	151	11	.	.	PUNCT
ajst-21777	152	1	7(1	7(1	NUM
ajst-21777	152	2	)	)	PUNCT
ajst-21777	152	3	,	,	PUNCT
ajst-21777	152	4	16852	16852	NUM
ajst-21777	152	5	.	.	PUNCT
ajst-21777	153	1	[	[	X
ajst-21777	153	2	5	5	NUM
ajst-21777	153	3	]	]	X
ajst-21777	153	4	bortsova	bortsova	NOUN
ajst-21777	153	5	,	,	PUNCT
ajst-21777	153	6	g.	g.	PROPN
ajst-21777	153	7	,	,	PUNCT
ajst-21777	153	8	dubost	dubost	PROPN
ajst-21777	153	9	,	,	PUNCT
ajst-21777	153	10	f.	f.	PROPN
ajst-21777	153	11	,	,	PUNCT
ajst-21777	153	12	hogeweg	hogeweg	PROPN
ajst-21777	153	13	,	,	PUNCT
ajst-21777	153	14	l.	l.	PROPN
ajst-21777	153	15	,	,	PUNCT
ajst-21777	153	16	katramados	katramado	NOUN
ajst-21777	153	17	,	,	PUNCT
ajst-21777	153	18	i.	i.	PROPN
ajst-21777	153	19	,	,	PUNCT
ajst-21777	153	20	&	&	CCONJ
ajst-21777	153	21	de	de	X
ajst-21777	153	22	bruijne	bruijne	PROPN
ajst-21777	153	23	,	,	PUNCT
ajst-21777	153	24	m.	m.	NOUN
ajst-21777	153	25	(	(	PUNCT
ajst-21777	153	26	2019	2019	NUM
ajst-21777	153	27	)	)	PUNCT
ajst-21777	153	28	.	.	PUNCT
ajst-21777	154	1	semi	semi	ADJ
ajst-21777	154	2	-	-	ADJ
ajst-21777	154	3	supervised	supervised	ADJ
ajst-21777	154	4	medical	medical	ADJ
ajst-21777	154	5	image	image	NOUN
ajst-21777	154	6	segmentation	segmentation	NOUN
ajst-21777	154	7	via	via	ADP
ajst-21777	154	8	learning	learn	VERB
ajst-21777	154	9	consistency	consistency	NOUN
ajst-21777	154	10	under	under	ADP
ajst-21777	154	11	transformations	transformation	NOUN
ajst-21777	154	12	.	.	PUNCT
ajst-21777	155	1	paper	paper	NOUN
ajst-21777	155	2	presented	present	VERB
ajst-21777	155	3	at	at	ADP
ajst-21777	155	4	the	the	DET
ajst-21777	155	5	medical	medical	ADJ
ajst-21777	155	6	image	image	NOUN
ajst-21777	155	7	computing	computing	NOUN
ajst-21777	155	8	and	and	CCONJ
ajst-21777	155	9	computer	computer	NOUN
ajst-21777	155	10	assisted	assist	VERB
ajst-21777	155	11	intervention	intervention	NOUN
ajst-21777	155	12	–	–	PUNCT
ajst-21777	155	13	miccai	miccai	NOUN
ajst-21777	155	14	2019	2019	NUM
ajst-21777	155	15	:	:	PUNCT
ajst-21777	155	16	22nd	22nd	ADJ
ajst-21777	155	17	international	international	ADJ
ajst-21777	155	18	conference	conference	NOUN
ajst-21777	155	19	,	,	PUNCT
ajst-21777	155	20	shenzhen	shenzhen	PROPN
ajst-21777	155	21	,	,	PUNCT
ajst-21777	155	22	china	china	PROPN
ajst-21777	155	23	,	,	PUNCT
ajst-21777	155	24	october	october	PROPN
ajst-21777	155	25	13–17	13–17	NUM
ajst-21777	155	26	,	,	PUNCT
ajst-21777	155	27	2019	2019	NUM
ajst-21777	155	28	,	,	PUNCT
ajst-21777	155	29	proceedings	proceeding	NOUN
ajst-21777	155	30	,	,	PUNCT
ajst-21777	155	31	part	part	NOUN
ajst-21777	155	32	vi	vi	NOUN
ajst-21777	155	33	22	22	NUM
ajst-21777	155	34	.	.	PUNCT
ajst-21777	156	1	[	[	X
ajst-21777	156	2	6	6	NUM
ajst-21777	156	3	]	]	X
ajst-21777	156	4	cao	cao	PROPN
ajst-21777	156	5	,	,	PUNCT
ajst-21777	156	6	h.	h.	PROPN
ajst-21777	156	7	,	,	PUNCT
ajst-21777	156	8	wang	wang	PROPN
ajst-21777	156	9	,	,	PUNCT
ajst-21777	156	10	y.	y.	PROPN
ajst-21777	156	11	,	,	PUNCT
ajst-21777	156	12	chen	chen	PROPN
ajst-21777	156	13	,	,	PUNCT
ajst-21777	156	14	j.	j.	PROPN
ajst-21777	156	15	,	,	PUNCT
ajst-21777	156	16	jiang	jiang	PROPN
ajst-21777	156	17	,	,	PUNCT
ajst-21777	156	18	d.	d.	PROPN
ajst-21777	156	19	,	,	PUNCT
ajst-21777	156	20	zhang	zhang	PROPN
ajst-21777	156	21	,	,	PUNCT
ajst-21777	156	22	x.	x.	PROPN
ajst-21777	156	23	,	,	PUNCT
ajst-21777	156	24	tian	tian	PROPN
ajst-21777	156	25	,	,	PUNCT
ajst-21777	156	26	q.	q.	PROPN
ajst-21777	156	27	,	,	PUNCT
ajst-21777	156	28	&	&	CCONJ
ajst-21777	156	29	wang	wang	PROPN
ajst-21777	156	30	,	,	PUNCT
ajst-21777	156	31	m.	m.	NOUN
ajst-21777	156	32	(	(	PUNCT
ajst-21777	156	33	2022	2022	NUM
ajst-21777	156	34	)	)	PUNCT
ajst-21777	156	35	.	.	PUNCT
ajst-21777	157	1	swin	swin	PROPN
ajst-21777	157	2	-	-	PUNCT
ajst-21777	157	3	unet	unet	NOUN
ajst-21777	157	4	:	:	PUNCT
ajst-21777	157	5	unet	unet	NOUN
ajst-21777	157	6	-	-	PUNCT
ajst-21777	157	7	like	like	ADJ
ajst-21777	157	8	pure	pure	ADJ
ajst-21777	157	9	transformer	transformer	NOUN
ajst-21777	157	10	for	for	ADP
ajst-21777	157	11	medical	medical	ADJ
ajst-21777	157	12	image	image	NOUN
ajst-21777	157	13	segmentation	segmentation	NOUN
ajst-21777	157	14	.	.	PUNCT
ajst-21777	158	1	paper	paper	NOUN
ajst-21777	158	2	presented	present	VERB
ajst-21777	158	3	at	at	ADP
ajst-21777	158	4	the	the	DET
ajst-21777	158	5	european	european	PROPN
ajst-21777	158	6	conference	conference	PROPN
ajst-21777	158	7	on	on	ADP
ajst-21777	158	8	computer	computer	NOUN
ajst-21777	158	9	vision	vision	NOUN
ajst-21777	158	10	.	.	PUNCT
ajst-21777	159	1	[	[	X
ajst-21777	159	2	7	7	NUM
ajst-21777	159	3	]	]	X
ajst-21777	159	4	chaitanya	chaitanya	PROPN
ajst-21777	159	5	,	,	PUNCT
ajst-21777	159	6	k.	k.	PROPN
ajst-21777	159	7	,	,	PUNCT
ajst-21777	159	8	karani	karani	PROPN
ajst-21777	159	9	,	,	PUNCT
ajst-21777	159	10	n.	n.	PROPN
ajst-21777	159	11	,	,	PUNCT
ajst-21777	159	12	baumgartner	baumgartner	PROPN
ajst-21777	159	13	,	,	PUNCT
ajst-21777	159	14	c.	c.	PROPN
ajst-21777	159	15	f.	f.	PROPN
ajst-21777	159	16	,	,	PUNCT
ajst-21777	159	17	becker	becker	PROPN
ajst-21777	159	18	,	,	PUNCT
ajst-21777	159	19	a.	a.	PROPN
ajst-21777	159	20	,	,	PUNCT
ajst-21777	159	21	donati	donati	PROPN
ajst-21777	159	22	,	,	PUNCT
ajst-21777	159	23	o.	o.	PROPN
ajst-21777	159	24	,	,	PUNCT
ajst-21777	159	25	&	&	CCONJ
ajst-21777	159	26	konukoglu	konukoglu	PROPN
ajst-21777	159	27	,	,	PUNCT
ajst-21777	159	28	e.	e.	PROPN
ajst-21777	159	29	(	(	PUNCT
ajst-21777	159	30	2019	2019	NUM
ajst-21777	159	31	)	)	PUNCT
ajst-21777	159	32	.	.	PUNCT
ajst-21777	159	33	semi	semi	ADJ
ajst-21777	159	34	-	-	ADJ
ajst-21777	159	35	supervised	supervised	ADJ
ajst-21777	159	36	and	and	CCONJ
ajst-21777	159	37	task	task	NOUN
ajst-21777	159	38	-	-	PUNCT
ajst-21777	159	39	driven	drive	VERB
ajst-21777	159	40	data	datum	NOUN
ajst-21777	159	41	augmentation	augmentation	NOUN
ajst-21777	159	42	.	.	PUNCT
ajst-21777	160	1	paper	paper	NOUN
ajst-21777	160	2	presented	present	VERB
ajst-21777	160	3	at	at	ADP
ajst-21777	160	4	the	the	DET
ajst-21777	160	5	information	information	NOUN
ajst-21777	160	6	processing	processing	NOUN
ajst-21777	160	7	in	in	ADP
ajst-21777	160	8	medical	medical	ADJ
ajst-21777	160	9	imaging	imaging	NOUN
ajst-21777	160	10	:	:	PUNCT
ajst-21777	160	11	26th	26th	ADJ
ajst-21777	160	12	international	international	ADJ
ajst-21777	160	13	conference	conference	NOUN
ajst-21777	160	14	,	,	PUNCT
ajst-21777	160	15	ipmi	ipmi	PROPN
ajst-21777	160	16	2019	2019	NUM
ajst-21777	160	17	,	,	PUNCT
ajst-21777	160	18	hong	hong	PROPN
ajst-21777	160	19	kong	kong	PROPN
ajst-21777	160	20	,	,	PUNCT
ajst-21777	160	21	china	china	PROPN
ajst-21777	160	22	,	,	PUNCT
ajst-21777	160	23	june	june	PROPN
ajst-21777	160	24	2–7	2–7	PROPN
ajst-21777	160	25	,	,	PUNCT
ajst-21777	160	26	2019	2019	NUM
ajst-21777	160	27	,	,	PUNCT
ajst-21777	160	28	proceedings	proceeding	NOUN
ajst-21777	160	29	26	26	NUM
ajst-21777	160	30	.	.	PUNCT
ajst-21777	161	1	[	[	X
ajst-21777	161	2	8	8	NUM
ajst-21777	161	3	]	]	X
ajst-21777	161	4	chaudhury	chaudhury	NOUN
ajst-21777	161	5	,	,	PUNCT
ajst-21777	161	6	s.	s.	PROPN
ajst-21777	161	7	,	,	PUNCT
ajst-21777	161	8	krishna	krishna	PROPN
ajst-21777	161	9	,	,	PUNCT
ajst-21777	161	10	a.	a.	NOUN
ajst-21777	161	11	n.	n.	PROPN
ajst-21777	161	12	,	,	PUNCT
ajst-21777	161	13	gupta	gupta	PROPN
ajst-21777	161	14	,	,	PUNCT
ajst-21777	161	15	s.	s.	PROPN
ajst-21777	161	16	,	,	PUNCT
ajst-21777	161	17	sankaran	sankaran	VERB
ajst-21777	161	18	,	,	PUNCT
ajst-21777	161	19	k.	k.	PROPN
ajst-21777	161	20	s.	s.	PROPN
ajst-21777	161	21	,	,	PUNCT
ajst-21777	161	22	khan	khan	PROPN
ajst-21777	161	23	,	,	PUNCT
ajst-21777	161	24	s.	s.	PROPN
ajst-21777	161	25	,	,	PUNCT
ajst-21777	161	26	sau	sau	PROPN
ajst-21777	161	27	,	,	PUNCT
ajst-21777	161	28	k.	k.	PROPN
ajst-21777	161	29	,	,	PUNCT
ajst-21777	161	30	.	.	PUNCT
ajst-21777	161	31	.	.	PUNCT
ajst-21777	161	32	.	.	PUNCT
ajst-21777	162	1	medicine	medicine	NOUN
ajst-21777	162	2	,	,	PUNCT
ajst-21777	162	3	m.	m.	NOUN
ajst-21777	162	4	m.	m.	PROPN
ajst-21777	162	5	i.	i.	PROPN
ajst-21777	162	6	(	(	PUNCT
ajst-21777	162	7	2022	2022	NUM
ajst-21777	162	8	)	)	PUNCT
ajst-21777	162	9	.	.	PUNCT
ajst-21777	163	1	effective	effective	ADJ
ajst-21777	163	2	image	image	NOUN
ajst-21777	163	3	processing	processing	NOUN
ajst-21777	163	4	and	and	CCONJ
ajst-21777	163	5	segmentation	segmentation	NOUN
ajst-21777	163	6	-	-	PUNCT
ajst-21777	163	7	based	base	VERB
ajst-21777	163	8	machine	machine	NOUN
ajst-21777	163	9	learning	learn	VERB
ajst-21777	163	10	techniques	technique	NOUN
ajst-21777	163	11	for	for	ADP
ajst-21777	163	12	diagnosis	diagnosis	NOUN
ajst-21777	163	13	of	of	ADP
ajst-21777	163	14	breast	breast	NOUN
ajst-21777	163	15	cancer	cancer	NOUN
ajst-21777	163	16	.	.	PUNCT
ajst-21777	164	1	2022	2022	NUM
ajst-21777	164	2	.	.	PUNCT
ajst-21777	165	1	[	[	X
ajst-21777	165	2	9	9	NUM
ajst-21777	165	3	]	]	SYM
ajst-21777	165	4	chen	chen	PROPN
ajst-21777	165	5	,	,	PUNCT
ajst-21777	165	6	d.	d.	PROPN
ajst-21777	165	7	,	,	PUNCT
ajst-21777	165	8	ao	ao	PROPN
ajst-21777	165	9	,	,	PUNCT
ajst-21777	165	10	y.	y.	PROPN
ajst-21777	165	11	,	,	PUNCT
ajst-21777	165	12	&	&	CCONJ
ajst-21777	165	13	liu	liu	PROPN
ajst-21777	165	14	,	,	PUNCT
ajst-21777	165	15	s.	s.	PROPN
ajst-21777	165	16	j.	j.	PROPN
ajst-21777	165	17	s.	s.	PROPN
ajst-21777	165	18	(	(	PUNCT
ajst-21777	165	19	2020	2020	NUM
ajst-21777	165	20	)	)	PUNCT
ajst-21777	165	21	.	.	PUNCT
ajst-21777	166	1	semi	semi	ADJ
ajst-21777	166	2	-	-	ADJ
ajst-21777	166	3	supervised	supervised	ADJ
ajst-21777	166	4	learning	learning	NOUN
ajst-21777	166	5	method	method	NOUN
ajst-21777	166	6	of	of	ADP
ajst-21777	166	7	u	u	ADJ
ajst-21777	166	8	-	-	ADJ
ajst-21777	166	9	net	net	ADJ
ajst-21777	166	10	deep	deep	ADJ
ajst-21777	166	11	learning	learning	NOUN
ajst-21777	166	12	network	network	NOUN
ajst-21777	166	13	for	for	ADP
ajst-21777	166	14	blood	blood	NOUN
ajst-21777	166	15	vessel	vessel	NOUN
ajst-21777	166	16	segmentation	segmentation	NOUN
ajst-21777	166	17	in	in	ADP
ajst-21777	166	18	retinal	retinal	ADJ
ajst-21777	166	19	images	image	NOUN
ajst-21777	166	20	.	.	PUNCT
ajst-21777	167	1	12(7	12(7	NUM
ajst-21777	167	2	)	)	PUNCT
ajst-21777	167	3	,	,	PUNCT
ajst-21777	167	4	1067	1067	NUM
ajst-21777	167	5	.	.	PUNCT
ajst-21777	168	1	[	[	X
ajst-21777	168	2	10	10	NUM
ajst-21777	168	3	]	]	X
ajst-21777	168	4	çiçek	çiçek	PROPN
ajst-21777	168	5	,	,	PUNCT
ajst-21777	168	6	ö.	ö.	PROPN
ajst-21777	168	7	,	,	PUNCT
ajst-21777	168	8	abdulkadir	abdulkadir	PROPN
ajst-21777	168	9	,	,	PUNCT
ajst-21777	168	10	a.	a.	NOUN
ajst-21777	168	11	,	,	PUNCT
ajst-21777	168	12	lienkamp	lienkamp	PROPN
ajst-21777	168	13	,	,	PUNCT
ajst-21777	168	14	s.	s.	PROPN
ajst-21777	168	15	s.	s.	PROPN
ajst-21777	168	16	,	,	PUNCT
ajst-21777	168	17	brox	brox	PROPN
ajst-21777	168	18	,	,	PUNCT
ajst-21777	168	19	t.	t.	PROPN
ajst-21777	168	20	,	,	PUNCT
ajst-21777	168	21	&	&	CCONJ
ajst-21777	168	22	ronneberger	ronneberger	NOUN
ajst-21777	168	23	,	,	PUNCT
ajst-21777	168	24	o.	o.	PROPN
ajst-21777	168	25	(	(	PUNCT
ajst-21777	168	26	2016	2016	NUM
ajst-21777	168	27	)	)	PUNCT
ajst-21777	168	28	.	.	PUNCT
ajst-21777	169	1	3d	3d	NUM
ajst-21777	169	2	u	u	NOUN
ajst-21777	169	3	-	-	NOUN
ajst-21777	169	4	net	net	ADJ
ajst-21777	169	5	:	:	PUNCT
ajst-21777	169	6	learning	learn	VERB
ajst-21777	169	7	dense	dense	ADJ
ajst-21777	169	8	volumetric	volumetric	NOUN
ajst-21777	169	9	segmentation	segmentation	NOUN
ajst-21777	169	10	from	from	ADP
ajst-21777	169	11	sparse	sparse	ADJ
ajst-21777	169	12	annotation	annotation	NOUN
ajst-21777	169	13	.	.	PUNCT
ajst-21777	170	1	paper	paper	NOUN
ajst-21777	170	2	presented	present	VERB
ajst-21777	170	3	at	at	ADP
ajst-21777	170	4	the	the	DET
ajst-21777	170	5	medical	medical	ADJ
ajst-21777	170	6	image	image	NOUN
ajst-21777	170	7	computing	computing	NOUN
ajst-21777	170	8	and	and	CCONJ
ajst-21777	170	9	computer	computer	NOUN
ajst-21777	170	10	-	-	PUNCT
ajst-21777	170	11	assisted	assist	VERB
ajst-21777	170	12	intervention	intervention	NOUN
ajst-21777	170	13	–	–	PUNCT
ajst-21777	170	14	miccai	miccai	NOUN
ajst-21777	170	15	2016	2016	NUM
ajst-21777	170	16	:	:	PUNCT
ajst-21777	170	17	19th	19th	ADJ
ajst-21777	170	18	international	international	ADJ
ajst-21777	170	19	conference	conference	NOUN
ajst-21777	170	20	,	,	PUNCT
ajst-21777	170	21	athens	athens	PROPN
ajst-21777	170	22	,	,	PUNCT
ajst-21777	170	23	greece	greece	PROPN
ajst-21777	170	24	,	,	PUNCT
ajst-21777	170	25	october	october	PROPN
ajst-21777	170	26	17	17	NUM
ajst-21777	170	27	-	-	SYM
ajst-21777	170	28	21	21	NUM
ajst-21777	170	29	,	,	PUNCT
ajst-21777	170	30	2016	2016	NUM
ajst-21777	170	31	,	,	PUNCT
ajst-21777	170	32	proceedings	proceeding	NOUN
ajst-21777	170	33	,	,	PUNCT
ajst-21777	170	34	part	part	NOUN
ajst-21777	170	35	ii	ii	PROPN
ajst-21777	170	36	19	19	NUM
ajst-21777	170	37	.	.	PUNCT
ajst-21777	171	1	[	[	X
ajst-21777	171	2	11	11	NUM
ajst-21777	171	3	]	]	SYM
ajst-21777	171	4	du	du	X
ajst-21777	171	5	,	,	PUNCT
ajst-21777	171	6	g.	g.	PROPN
ajst-21777	171	7	,	,	PUNCT
ajst-21777	171	8	cao	cao	PROPN
ajst-21777	171	9	,	,	PUNCT
ajst-21777	171	10	x.	x.	PROPN
ajst-21777	171	11	,	,	PUNCT
ajst-21777	171	12	liang	liang	PROPN
ajst-21777	171	13	,	,	PUNCT
ajst-21777	171	14	j.	j.	PROPN
ajst-21777	171	15	,	,	PUNCT
ajst-21777	171	16	chen	chen	PROPN
ajst-21777	171	17	,	,	PUNCT
ajst-21777	171	18	x.	x.	PROPN
ajst-21777	171	19	,	,	PUNCT
ajst-21777	171	20	zhan	zhan	PROPN
ajst-21777	171	21	,	,	PUNCT
ajst-21777	171	22	y.	y.	PROPN
ajst-21777	171	23	j.	j.	PROPN
ajst-21777	171	24	j.	j.	PROPN
ajst-21777	171	25	o.	o.	PROPN
ajst-21777	171	26	i.	i.	PROPN
ajst-21777	171	27	s.	s.	PROPN
ajst-21777	171	28	,	,	PUNCT
ajst-21777	171	29	&	&	CCONJ
ajst-21777	171	30	technology	technology	NOUN
ajst-21777	171	31	.	.	PUNCT
ajst-21777	172	1	(	(	PUNCT
ajst-21777	172	2	2020	2020	NUM
ajst-21777	172	3	)	)	PUNCT
ajst-21777	172	4	.	.	PUNCT
ajst-21777	173	1	medical	medical	ADJ
ajst-21777	173	2	image	image	NOUN
ajst-21777	173	3	segmentation	segmentation	NOUN
ajst-21777	173	4	based	base	VERB
ajst-21777	173	5	on	on	ADP
ajst-21777	173	6	unet	unet	NOUN
ajst-21777	173	7	:	:	PUNCT
ajst-21777	173	8	a	a	DET
ajst-21777	173	9	review	review	NOUN
ajst-21777	173	10	.	.	PUNCT
ajst-21777	174	1	64(2	64(2	NUM
ajst-21777	174	2	)	)	PUNCT
ajst-21777	174	3	.	.	PUNCT
ajst-21777	175	1	[	[	X
ajst-21777	175	2	12	12	NUM
ajst-21777	175	3	]	]	X
ajst-21777	175	4	han	han	PROPN
ajst-21777	175	5	,	,	PUNCT
ajst-21777	175	6	k.	k.	PROPN
ajst-21777	175	7	,	,	PUNCT
ajst-21777	175	8	liu	liu	PROPN
ajst-21777	175	9	,	,	PUNCT
ajst-21777	175	10	l.	l.	PROPN
ajst-21777	175	11	,	,	PUNCT
ajst-21777	175	12	song	song	NOUN
ajst-21777	175	13	,	,	PUNCT
ajst-21777	175	14	y.	y.	PROPN
ajst-21777	175	15	,	,	PUNCT
ajst-21777	175	16	liu	liu	PROPN
ajst-21777	175	17	,	,	PUNCT
ajst-21777	175	18	y.	y.	PROPN
ajst-21777	175	19	,	,	PUNCT
ajst-21777	175	20	qiu	qiu	PROPN
ajst-21777	175	21	,	,	PUNCT
ajst-21777	175	22	c.	c.	PROPN
ajst-21777	175	23	,	,	PUNCT
ajst-21777	175	24	tang	tang	PROPN
ajst-21777	175	25	,	,	PUNCT
ajst-21777	175	26	y.	y.	PROPN
ajst-21777	175	27	,	,	PUNCT
ajst-21777	175	28	.	.	PUNCT
ajst-21777	175	29	.	.	PUNCT
ajst-21777	175	30	.	.	PUNCT
ajst-21777	176	1	informatics	informatics	PROPN
ajst-21777	176	2	,	,	PUNCT
ajst-21777	176	3	h.	h.	PROPN
ajst-21777	176	4	(	(	PUNCT
ajst-21777	176	5	2022	2022	NUM
ajst-21777	176	6	)	)	PUNCT
ajst-21777	176	7	.	.	PUNCT
ajst-21777	177	1	an	an	DET
ajst-21777	177	2	effective	effective	ADJ
ajst-21777	177	3	semi	semi	ADJ
ajst-21777	177	4	-	-	ADJ
ajst-21777	177	5	supervised	supervised	ADJ
ajst-21777	177	6	approach	approach	NOUN
ajst-21777	177	7	for	for	ADP
ajst-21777	177	8	liver	liver	NOUN
ajst-21777	177	9	ct	ct	PROPN
ajst-21777	177	10	image	image	NOUN
ajst-21777	177	11	segmentation	segmentation	NOUN
ajst-21777	177	12	.	.	PUNCT
ajst-21777	178	1	26(8	26(8	NOUN
ajst-21777	178	2	)	)	PUNCT
ajst-21777	178	3	,	,	PUNCT
ajst-21777	178	4	3999	3999	NUM
ajst-21777	178	5	-	-	SYM
ajst-21777	178	6	4007	4007	NUM
ajst-21777	178	7	.	.	PUNCT
ajst-21777	179	1	[	[	X
ajst-21777	179	2	13	13	NUM
ajst-21777	179	3	]	]	SYM
ajst-21777	179	4	hu	hu	PROPN
ajst-21777	179	5	,	,	PUNCT
ajst-21777	179	6	x.	x.	PROPN
ajst-21777	179	7	,	,	PUNCT
ajst-21777	179	8	zeng	zeng	PROPN
ajst-21777	179	9	,	,	PUNCT
ajst-21777	179	10	d.	d.	PROPN
ajst-21777	179	11	,	,	PUNCT
ajst-21777	179	12	xu	xu	PROPN
ajst-21777	179	13	,	,	PUNCT
ajst-21777	179	14	x.	x.	PROPN
ajst-21777	179	15	,	,	PUNCT
ajst-21777	179	16	&	&	CCONJ
ajst-21777	179	17	shi	shi	PROPN
ajst-21777	179	18	,	,	PUNCT
ajst-21777	179	19	y.	y.	PROPN
ajst-21777	179	20	(	(	PUNCT
ajst-21777	179	21	2021	2021	NUM
ajst-21777	179	22	)	)	PUNCT
ajst-21777	179	23	.	.	PUNCT
ajst-21777	180	1	semi	semi	ADJ
ajst-21777	180	2	-	-	ADJ
ajst-21777	180	3	supervised	supervised	ADJ
ajst-21777	180	4	contrastive	contrastive	ADJ
ajst-21777	180	5	learning	learning	NOUN
ajst-21777	180	6	for	for	ADP
ajst-21777	180	7	label	label	NOUN
ajst-21777	180	8	-	-	PUNCT
ajst-21777	180	9	efficient	efficient	ADJ
ajst-21777	180	10	medical	medical	ADJ
ajst-21777	180	11	image	image	NOUN
ajst-21777	180	12	segmentation	segmentation	NOUN
ajst-21777	180	13	.	.	PUNCT
ajst-21777	181	1	paper	paper	NOUN
ajst-21777	181	2	presented	present	VERB
ajst-21777	181	3	at	at	ADP
ajst-21777	181	4	the	the	DET
ajst-21777	181	5	medical	medical	ADJ
ajst-21777	181	6	image	image	NOUN
ajst-21777	181	7	computing	computing	NOUN
ajst-21777	181	8	and	and	CCONJ
ajst-21777	181	9	computer	computer	NOUN
ajst-21777	181	10	assisted	assist	VERB
ajst-21777	181	11	intervention	intervention	NOUN
ajst-21777	181	12	–	–	PUNCT
ajst-21777	181	13	miccai	miccai	NOUN
ajst-21777	181	14	2021	2021	NUM
ajst-21777	181	15	:	:	PUNCT
ajst-21777	181	16	24th	24th	ADJ
ajst-21777	181	17	international	international	ADJ
ajst-21777	181	18	conference	conference	NOUN
ajst-21777	181	19	,	,	PUNCT
ajst-21777	181	20	strasbourg	strasbourg	NOUN
ajst-21777	181	21	,	,	PUNCT
ajst-21777	181	22	france	france	PROPN
ajst-21777	181	23	,	,	PUNCT
ajst-21777	181	24	september	september	PROPN
ajst-21777	181	25	27	27	NUM
ajst-21777	181	26	–	–	PUNCT
ajst-21777	181	27	october	october	PROPN
ajst-21777	181	28	1	1	NUM
ajst-21777	181	29	,	,	PUNCT
ajst-21777	181	30	2021	2021	NUM
ajst-21777	181	31	,	,	PUNCT
ajst-21777	181	32	proceedings	proceeding	NOUN
ajst-21777	181	33	,	,	PUNCT
ajst-21777	181	34	part	part	NOUN
ajst-21777	181	35	ii	ii	PROPN
ajst-21777	181	36	24	24	NUM
ajst-21777	181	37	.	.	PUNCT
ajst-21777	182	1	[	[	X
ajst-21777	182	2	14	14	NUM
ajst-21777	182	3	]	]	X
ajst-21777	182	4	huang	huang	PROPN
ajst-21777	182	5	,	,	PUNCT
ajst-21777	182	6	h.	h.	PROPN
ajst-21777	182	7	,	,	PUNCT
ajst-21777	182	8	lin	lin	PROPN
ajst-21777	182	9	,	,	PUNCT
ajst-21777	182	10	l.	l.	PROPN
ajst-21777	182	11	,	,	PUNCT
ajst-21777	182	12	tong	tong	PROPN
ajst-21777	182	13	,	,	PUNCT
ajst-21777	182	14	r.	r.	PROPN
ajst-21777	182	15	,	,	PUNCT
ajst-21777	182	16	hu	hu	PROPN
ajst-21777	182	17	,	,	PUNCT
ajst-21777	182	18	h.	h.	PROPN
ajst-21777	182	19	,	,	PUNCT
ajst-21777	182	20	zhang	zhang	PROPN
ajst-21777	182	21	,	,	PUNCT
ajst-21777	182	22	q.	q.	PROPN
ajst-21777	182	23	,	,	PUNCT
ajst-21777	182	24	iwamoto	iwamoto	ADJ
ajst-21777	182	25	,	,	PUNCT
ajst-21777	182	26	y.	y.	PROPN
ajst-21777	182	27	,	,	PUNCT
ajst-21777	182	28	.	.	PUNCT
ajst-21777	182	29	.	.	PUNCT
ajst-21777	182	30	.	.	PUNCT
ajst-21777	183	1	wu	wu	PROPN
ajst-21777	183	2	,	,	PUNCT
ajst-21777	183	3	j.	j.	PROPN
ajst-21777	183	4	(	(	PUNCT
ajst-21777	183	5	2020	2020	NUM
ajst-21777	183	6	)	)	PUNCT
ajst-21777	183	7	.	.	PUNCT
ajst-21777	184	1	unet	unet	NOUN
ajst-21777	185	1	3	3	NUM
ajst-21777	185	2	+	+	NOUN
ajst-21777	185	3	:	:	PUNCT
ajst-21777	185	4	a	a	DET
ajst-21777	185	5	full	full	ADJ
ajst-21777	185	6	-	-	PUNCT
ajst-21777	185	7	scale	scale	NOUN
ajst-21777	185	8	connected	connected	ADJ
ajst-21777	185	9	unet	unet	NOUN
ajst-21777	185	10	for	for	ADP
ajst-21777	185	11	medical	medical	ADJ
ajst-21777	185	12	image	image	NOUN
ajst-21777	185	13	segmentation	segmentation	NOUN
ajst-21777	185	14	.	.	PUNCT
ajst-21777	186	1	paper	paper	NOUN
ajst-21777	186	2	presented	present	VERB
ajst-21777	186	3	at	at	ADP
ajst-21777	186	4	the	the	DET
ajst-21777	186	5	icassp	icassp	PROPN
ajst-21777	186	6	2020	2020	NUM
ajst-21777	186	7	-	-	SYM
ajst-21777	186	8	2020	2020	NUM
ajst-21777	186	9	ieee	ieee	NOUN
ajst-21777	186	10	international	international	ADJ
ajst-21777	186	11	conference	conference	NOUN
ajst-21777	186	12	on	on	ADP
ajst-21777	186	13	acoustics	acoustic	NOUN
ajst-21777	186	14	,	,	PUNCT
ajst-21777	186	15	speech	speech	NOUN
ajst-21777	186	16	and	and	CCONJ
ajst-21777	186	17	signal	signal	NOUN
ajst-21777	186	18	processing	processing	NOUN
ajst-21777	186	19	(	(	PUNCT
ajst-21777	186	20	icassp	icassp	PROPN
ajst-21777	186	21	)	)	PUNCT
ajst-21777	186	22	.	.	PUNCT
ajst-21777	187	1	153	153	NUM
ajst-21777	188	1	[	[	X
ajst-21777	188	2	15	15	NUM
ajst-21777	188	3	]	]	X
ajst-21777	188	4	huisi	huisi	PROPN
ajst-21777	188	5	,	,	PUNCT
ajst-21777	188	6	w.	w.	PROPN
ajst-21777	188	7	,	,	PUNCT
ajst-21777	188	8	chen	chen	PROPN
ajst-21777	188	9	,	,	PUNCT
ajst-21777	188	10	g.	g.	PROPN
ajst-21777	188	11	,	,	PUNCT
ajst-21777	188	12	wen	wen	PROPN
ajst-21777	188	13	,	,	PUNCT
ajst-21777	188	14	z.	z.	PROPN
ajst-21777	188	15	,	,	PUNCT
ajst-21777	188	16	&	&	CCONJ
ajst-21777	188	17	qin	qin	PROPN
ajst-21777	188	18	,	,	PUNCT
ajst-21777	188	19	j.	j.	PROPN
ajst-21777	188	20	(	(	PUNCT
ajst-21777	188	21	2021	2021	NUM
ajst-21777	188	22	)	)	PUNCT
ajst-21777	188	23	.	.	PUNCT
ajst-21777	189	1	collaborative	collaborative	ADJ
ajst-21777	189	2	and	and	CCONJ
ajst-21777	189	3	adversarial	adversarial	ADJ
ajst-21777	189	4	learning	learning	NOUN
ajst-21777	189	5	of	of	ADP
ajst-21777	189	6	focused	focus	VERB
ajst-21777	189	7	and	and	CCONJ
ajst-21777	189	8	dispersive	dispersive	ADJ
ajst-21777	189	9	representations	representation	NOUN
ajst-21777	189	10	for	for	ADP
ajst-21777	189	11	semi	semi	ADJ
ajst-21777	189	12	-	-	ADJ
ajst-21777	189	13	supervised	supervised	ADJ
ajst-21777	189	14	polyp	polyp	NOUN
ajst-21777	189	15	segmentation	segmentation	NOUN
ajst-21777	189	16	.	.	PUNCT
ajst-21777	190	1	paper	paper	NOUN
ajst-21777	190	2	presented	present	VERB
ajst-21777	190	3	at	at	ADP
ajst-21777	190	4	the	the	DET
ajst-21777	190	5	proceedings	proceeding	NOUN
ajst-21777	190	6	of	of	ADP
ajst-21777	190	7	the	the	DET
ajst-21777	190	8	ieee	ieee	NOUN
ajst-21777	190	9	/	/	SYM
ajst-21777	190	10	cvf	cvf	NOUN
ajst-21777	190	11	international	international	ADJ
ajst-21777	190	12	conference	conference	NOUN
ajst-21777	190	13	on	on	ADP
ajst-21777	190	14	computer	computer	NOUN
ajst-21777	190	15	vision	vision	NOUN
ajst-21777	190	16	.	.	PUNCT
ajst-21777	191	1	[	[	X
ajst-21777	191	2	16	16	NUM
ajst-21777	191	3	]	]	X
ajst-21777	191	4	huisi	huisi	PROPN
ajst-21777	191	5	,	,	PUNCT
ajst-21777	191	6	w.	w.	PROPN
ajst-21777	191	7	,	,	PUNCT
ajst-21777	191	8	wang	wang	PROPN
ajst-21777	191	9	,	,	PUNCT
ajst-21777	191	10	z.	z.	PROPN
ajst-21777	191	11	,	,	PUNCT
ajst-21777	191	12	song	song	NOUN
ajst-21777	191	13	,	,	PUNCT
ajst-21777	191	14	y.	y.	PROPN
ajst-21777	191	15	,	,	PUNCT
ajst-21777	191	16	yang	yang	PROPN
ajst-21777	191	17	,	,	PUNCT
ajst-21777	191	18	l.	l.	PROPN
ajst-21777	191	19	,	,	PUNCT
ajst-21777	191	20	&	&	CCONJ
ajst-21777	191	21	qin	qin	PROPN
ajst-21777	191	22	,	,	PUNCT
ajst-21777	191	23	j.	j.	PROPN
ajst-21777	191	24	(	(	PUNCT
ajst-21777	191	25	2022	2022	NUM
ajst-21777	191	26	)	)	PUNCT
ajst-21777	191	27	.	.	PUNCT
ajst-21777	192	1	cross	cross	ADJ
ajst-21777	192	2	-	-	ADJ
ajst-21777	192	3	patch	patch	ADJ
ajst-21777	192	4	dense	dense	ADJ
ajst-21777	192	5	contrastive	contrastive	ADJ
ajst-21777	192	6	learning	learning	NOUN
ajst-21777	192	7	for	for	ADP
ajst-21777	192	8	semi	semi	ADJ
ajst-21777	192	9	-	-	ADJ
ajst-21777	192	10	supervised	supervised	ADJ
ajst-21777	192	11	segmentation	segmentation	NOUN
ajst-21777	192	12	of	of	ADP
ajst-21777	192	13	cellular	cellular	ADJ
ajst-21777	192	14	nuclei	nucleus	NOUN
ajst-21777	192	15	in	in	ADP
ajst-21777	192	16	histopathologic	histopathologic	ADJ
ajst-21777	192	17	images	image	NOUN
ajst-21777	192	18	.	.	PUNCT
ajst-21777	193	1	paper	paper	NOUN
ajst-21777	193	2	presented	present	VERB
ajst-21777	193	3	at	at	ADP
ajst-21777	193	4	the	the	DET
ajst-21777	193	5	proceedings	proceeding	NOUN
ajst-21777	193	6	of	of	ADP
ajst-21777	193	7	the	the	DET
ajst-21777	193	8	ieee	ieee	NOUN
ajst-21777	193	9	/	/	SYM
ajst-21777	193	10	cvf	cvf	NOUN
ajst-21777	193	11	conference	conference	NOUN
ajst-21777	193	12	on	on	ADP
ajst-21777	193	13	computer	computer	NOUN
ajst-21777	193	14	vision	vision	NOUN
ajst-21777	193	15	and	and	CCONJ
ajst-21777	193	16	pattern	pattern	NOUN
ajst-21777	193	17	recognition	recognition	NOUN
ajst-21777	193	18	.	.	PUNCT
ajst-21777	194	1	[	[	X
ajst-21777	194	2	17	17	NUM
ajst-21777	194	3	]	]	X
ajst-21777	194	4	ibtehaz	ibtehaz	NOUN
ajst-21777	194	5	,	,	PUNCT
ajst-21777	194	6	n.	n.	NOUN
ajst-21777	194	7	,	,	PUNCT
ajst-21777	194	8	&	&	CCONJ
ajst-21777	194	9	rahman	rahman	PROPN
ajst-21777	194	10	,	,	PUNCT
ajst-21777	194	11	m.	m.	NOUN
ajst-21777	194	12	s.	s.	PROPN
ajst-21777	194	13	j.	j.	PROPN
ajst-21777	194	14	n.	n.	PROPN
ajst-21777	194	15	n.	n.	PROPN
ajst-21777	194	16	(	(	PUNCT
ajst-21777	194	17	2020	2020	NUM
ajst-21777	194	18	)	)	PUNCT
ajst-21777	194	19	.	.	PUNCT
ajst-21777	195	1	multiresunet	multiresunet	NOUN
ajst-21777	195	2	:	:	PUNCT
ajst-21777	195	3	rethinking	rethink	VERB
ajst-21777	195	4	the	the	DET
ajst-21777	195	5	u	u	ADJ
ajst-21777	195	6	-	-	ADJ
ajst-21777	195	7	net	net	ADJ
ajst-21777	195	8	architecture	architecture	NOUN
ajst-21777	195	9	for	for	ADP
ajst-21777	195	10	multimodal	multimodal	ADJ
ajst-21777	195	11	biomedical	biomedical	ADJ
ajst-21777	195	12	image	image	NOUN
ajst-21777	195	13	segmentation	segmentation	NOUN
ajst-21777	195	14	.	.	PUNCT
ajst-21777	196	1	121	121	NUM
ajst-21777	196	2	,	,	PUNCT
ajst-21777	196	3	74	74	NUM
ajst-21777	196	4	-	-	SYM
ajst-21777	196	5	87	87	NUM
ajst-21777	196	6	.	.	PUNCT
ajst-21777	197	1	[	[	X
ajst-21777	197	2	18	18	NUM
ajst-21777	197	3	]	]	X
ajst-21777	197	4	iqbal	iqbal	PROPN
ajst-21777	197	5	,	,	PUNCT
ajst-21777	197	6	a.	a.	PROPN
ajst-21777	197	7	,	,	PUNCT
ajst-21777	197	8	&	&	CCONJ
ajst-21777	197	9	sharif	sharif	PROPN
ajst-21777	197	10	,	,	PUNCT
ajst-21777	197	11	m.	m.	PROPN
ajst-21777	197	12	j.	j.	PROPN
ajst-21777	197	13	e.	e.	PROPN
ajst-21777	197	14	s.	s.	PROPN
ajst-21777	197	15	w.	w.	PROPN
ajst-21777	197	16	a.	a.	PROPN
ajst-21777	197	17	(	(	PUNCT
ajst-21777	197	18	2023	2023	NUM
ajst-21777	197	19	)	)	PUNCT
ajst-21777	197	20	.	.	PUNCT
ajst-21777	198	1	unet	unet	NOUN
ajst-21777	198	2	:	:	PUNCT
ajst-21777	198	3	a	a	DET
ajst-21777	198	4	semisupervised	semisupervise	VERB
ajst-21777	198	5	method	method	NOUN
ajst-21777	198	6	for	for	ADP
ajst-21777	198	7	segmentation	segmentation	NOUN
ajst-21777	198	8	of	of	ADP
ajst-21777	198	9	breast	breast	NOUN
ajst-21777	198	10	tumor	tumor	NOUN
ajst-21777	198	11	images	image	NOUN
ajst-21777	198	12	using	use	VERB
ajst-21777	198	13	a	a	DET
ajst-21777	198	14	u	u	NOUN
ajst-21777	198	15	-	-	ADJ
ajst-21777	198	16	shaped	shape	VERB
ajst-21777	198	17	pyramid	pyramid	NOUN
ajst-21777	198	18	-	-	PUNCT
ajst-21777	198	19	dilated	dilate	VERB
ajst-21777	198	20	network	network	NOUN
ajst-21777	198	21	.	.	PUNCT
ajst-21777	199	1	221	221	NUM
ajst-21777	199	2	,	,	PUNCT
ajst-21777	199	3	119718	119718	NUM
ajst-21777	199	4	.	.	PUNCT
ajst-21777	200	1	[	[	X
ajst-21777	200	2	19	19	NUM
ajst-21777	200	3	]	]	X
ajst-21777	200	4	jiacheng	jiacheng	PROPN
ajst-21777	200	5	,	,	PUNCT
ajst-21777	200	6	w.	w.	PROPN
ajst-21777	200	7	,	,	PUNCT
ajst-21777	200	8	li	li	PROPN
ajst-21777	200	9	,	,	PUNCT
ajst-21777	200	10	x.	x.	PROPN
ajst-21777	200	11	,	,	PUNCT
ajst-21777	200	12	han	han	PROPN
ajst-21777	200	13	,	,	PUNCT
ajst-21777	200	14	y.	y.	PROPN
ajst-21777	200	15	,	,	PUNCT
ajst-21777	200	16	qin	qin	PROPN
ajst-21777	200	17	,	,	PUNCT
ajst-21777	200	18	j.	j.	PROPN
ajst-21777	200	19	,	,	PUNCT
ajst-21777	200	20	wang	wang	PROPN
ajst-21777	200	21	,	,	PUNCT
ajst-21777	200	22	l.	l.	PROPN
ajst-21777	200	23	,	,	PUNCT
ajst-21777	200	24	&	&	CCONJ
ajst-21777	200	25	qichao	qichao	PROPN
ajst-21777	200	26	,	,	PUNCT
ajst-21777	200	27	z.	z.	PROPN
ajst-21777	200	28	(	(	PUNCT
ajst-21777	200	29	2022	2022	NUM
ajst-21777	200	30	)	)	PUNCT
ajst-21777	200	31	.	.	PUNCT
ajst-21777	200	32	separated	separate	VERB
ajst-21777	200	33	contrastive	contrastive	ADJ
ajst-21777	200	34	learning	learning	NOUN
ajst-21777	200	35	for	for	ADP
ajst-21777	200	36	organ	organ	NOUN
ajst-21777	200	37	-	-	PUNCT
ajst-21777	200	38	at	at	ADP
ajst-21777	200	39	-	-	PUNCT
ajst-21777	200	40	risk	risk	NOUN
ajst-21777	200	41	and	and	CCONJ
ajst-21777	200	42	gross	gross	ADJ
ajst-21777	200	43	-	-	PUNCT
ajst-21777	200	44	tumor	tumor	NOUN
ajst-21777	200	45	-	-	PUNCT
ajst-21777	200	46	volume	volume	NOUN
ajst-21777	200	47	segmentation	segmentation	NOUN
ajst-21777	200	48	with	with	ADP
ajst-21777	200	49	limited	limited	ADJ
ajst-21777	200	50	annotation	annotation	NOUN
ajst-21777	200	51	.	.	PUNCT
ajst-21777	201	1	paper	paper	NOUN
ajst-21777	201	2	presented	present	VERB
ajst-21777	201	3	at	at	ADP
ajst-21777	201	4	the	the	DET
ajst-21777	201	5	proceedings	proceeding	NOUN
ajst-21777	201	6	of	of	ADP
ajst-21777	201	7	the	the	DET
ajst-21777	201	8	aaai	aaai	PROPN
ajst-21777	201	9	conference	conference	NOUN
ajst-21777	201	10	on	on	ADP
ajst-21777	201	11	artificial	artificial	ADJ
ajst-21777	201	12	intelligence	intelligence	NOUN
ajst-21777	201	13	.	.	PUNCT
ajst-21777	202	1	[	[	X
ajst-21777	202	2	20	20	NUM
ajst-21777	202	3	]	]	SYM
ajst-21777	202	4	jiao	jiao	PROPN
ajst-21777	202	5	,	,	PUNCT
ajst-21777	202	6	r.	r.	PROPN
ajst-21777	202	7	,	,	PUNCT
ajst-21777	202	8	zhang	zhang	PROPN
ajst-21777	202	9	,	,	PUNCT
ajst-21777	202	10	y.	y.	PROPN
ajst-21777	202	11	,	,	PUNCT
ajst-21777	202	12	ding	ding	NOUN
ajst-21777	202	13	,	,	PUNCT
ajst-21777	202	14	l.	l.	PROPN
ajst-21777	202	15	,	,	PUNCT
ajst-21777	202	16	xue	xue	PROPN
ajst-21777	202	17	,	,	PUNCT
ajst-21777	202	18	b.	b.	PROPN
ajst-21777	202	19	,	,	PUNCT
ajst-21777	202	20	zhang	zhang	PROPN
ajst-21777	202	21	,	,	PUNCT
ajst-21777	202	22	j.	j.	PROPN
ajst-21777	202	23	,	,	PUNCT
ajst-21777	202	24	cai	cai	PROPN
ajst-21777	202	25	,	,	PUNCT
ajst-21777	202	26	r.	r.	PROPN
ajst-21777	202	27	,	,	PUNCT
ajst-21777	202	28	.	.	PUNCT
ajst-21777	202	29	.	.	PUNCT
ajst-21777	202	30	.	.	PUNCT
ajst-21777	203	1	medicine	medicine	NOUN
ajst-21777	203	2	.	.	PUNCT
ajst-21777	204	1	(	(	PUNCT
ajst-21777	204	2	2023	2023	NUM
ajst-21777	204	3	)	)	PUNCT
ajst-21777	204	4	.	.	PUNCT
ajst-21777	205	1	learning	learn	VERB
ajst-21777	205	2	with	with	ADP
ajst-21777	205	3	limited	limited	ADJ
ajst-21777	205	4	annotations	annotation	NOUN
ajst-21777	205	5	:	:	PUNCT
ajst-21777	205	6	a	a	DET
ajst-21777	205	7	survey	survey	NOUN
ajst-21777	205	8	on	on	ADP
ajst-21777	205	9	deep	deep	ADJ
ajst-21777	205	10	semi	semi	ADJ
ajst-21777	205	11	-	-	ADJ
ajst-21777	205	12	supervised	supervised	ADJ
ajst-21777	205	13	learning	learning	NOUN
ajst-21777	205	14	for	for	ADP
ajst-21777	205	15	medical	medical	ADJ
ajst-21777	205	16	image	image	NOUN
ajst-21777	205	17	segmentation	segmentation	NOUN
ajst-21777	205	18	.	.	PUNCT
ajst-21777	206	1	107840	107840	NUM
ajst-21777	206	2	.	.	PUNCT
ajst-21777	207	1	[	[	X
ajst-21777	207	2	21	21	NUM
ajst-21777	207	3	]	]	X
ajst-21777	207	4	jinyong	jinyong	PROPN
ajst-21777	207	5	,	,	PUNCT
ajst-21777	207	6	h.	h.	PROPN
ajst-21777	207	7	,	,	PUNCT
ajst-21777	207	8	ding	ding	NOUN
ajst-21777	207	9	,	,	PUNCT
ajst-21777	207	10	x.	x.	NOUN
ajst-21777	207	11	,	,	PUNCT
ajst-21777	207	12	&	&	CCONJ
ajst-21777	207	13	deng	deng	PROPN
ajst-21777	207	14	,	,	PUNCT
ajst-21777	207	15	j.	j.	PROPN
ajst-21777	207	16	d.	d.	PROPN
ajst-21777	207	17	(	(	PUNCT
ajst-21777	207	18	2022	2022	NUM
ajst-21777	207	19	)	)	PUNCT
ajst-21777	207	20	.	.	PUNCT
ajst-21777	208	1	semi	semi	ADJ
ajst-21777	208	2	-	-	ADJ
ajst-21777	208	3	supervised	supervised	ADJ
ajst-21777	208	4	semantic	semantic	ADJ
ajst-21777	208	5	segmentation	segmentation	NOUN
ajst-21777	208	6	of	of	ADP
ajst-21777	208	7	vessel	vessel	NOUN
ajst-21777	208	8	images	image	NOUN
ajst-21777	208	9	using	use	VERB
ajst-21777	208	10	leaking	leak	VERB
ajst-21777	208	11	perturbations	perturbation	NOUN
ajst-21777	208	12	.	.	PUNCT
ajst-21777	209	1	paper	paper	NOUN
ajst-21777	209	2	presented	present	VERB
ajst-21777	209	3	at	at	ADP
ajst-21777	209	4	the	the	DET
ajst-21777	209	5	proceedings	proceeding	NOUN
ajst-21777	209	6	of	of	ADP
ajst-21777	209	7	the	the	DET
ajst-21777	209	8	ieee	ieee	NOUN
ajst-21777	209	9	/	/	SYM
ajst-21777	209	10	cvf	cvf	NOUN
ajst-21777	209	11	winter	winter	NOUN
ajst-21777	209	12	conference	conference	NOUN
ajst-21777	209	13	on	on	ADP
ajst-21777	209	14	applications	application	NOUN
ajst-21777	209	15	of	of	ADP
ajst-21777	209	16	computer	computer	NOUN
ajst-21777	209	17	vision	vision	NOUN
ajst-21777	209	18	.	.	PUNCT
ajst-21777	210	1	[	[	X
ajst-21777	210	2	22	22	NUM
ajst-21777	210	3	]	]	X
ajst-21777	210	4	lei	lei	PROPN
ajst-21777	210	5	,	,	PUNCT
ajst-21777	210	6	z.	z.	PROPN
ajst-21777	210	7	,	,	PUNCT
ajst-21777	210	8	yang	yang	PROPN
ajst-21777	210	9	,	,	PUNCT
ajst-21777	210	10	k.	k.	PROPN
ajst-21777	210	11	,	,	PUNCT
ajst-21777	210	12	zhang	zhang	PROPN
ajst-21777	210	13	,	,	PUNCT
ajst-21777	210	14	m.	m.	NOUN
ajst-21777	210	15	,	,	PUNCT
ajst-21777	210	16	chan	chan	PROPN
ajst-21777	210	17	,	,	PUNCT
ajst-21777	210	18	l.	l.	PROPN
ajst-21777	210	19	l.	l.	PROPN
ajst-21777	210	20	,	,	PUNCT
ajst-21777	210	21	ng	ng	PROPN
ajst-21777	210	22	,	,	PUNCT
ajst-21777	210	23	t.	t.	PROPN
ajst-21777	210	24	k.	k.	PROPN
ajst-21777	210	25	,	,	PUNCT
ajst-21777	210	26	&	&	CCONJ
ajst-21777	210	27	ooi	ooi	PROPN
ajst-21777	210	28	,	,	PUNCT
ajst-21777	210	29	b.	b.	PROPN
ajst-21777	210	30	c.	c.	PROPN
ajst-21777	210	31	(	(	PUNCT
ajst-21777	210	32	2021	2021	NUM
ajst-21777	210	33	)	)	PUNCT
ajst-21777	210	34	.	.	PUNCT
ajst-21777	211	1	semi	semi	ADJ
ajst-21777	211	2	-	-	ADJ
ajst-21777	211	3	supervised	supervised	ADJ
ajst-21777	211	4	unpaired	unpaired	ADJ
ajst-21777	211	5	multi	multi	ADJ
ajst-21777	211	6	-	-	ADJ
ajst-21777	211	7	modal	modal	ADJ
ajst-21777	211	8	learning	learning	NOUN
ajst-21777	211	9	for	for	ADP
ajst-21777	211	10	label	label	NOUN
ajst-21777	211	11	-	-	PUNCT
ajst-21777	211	12	efficient	efficient	ADJ
ajst-21777	211	13	medical	medical	ADJ
ajst-21777	211	14	image	image	NOUN
ajst-21777	211	15	segmentation	segmentation	NOUN
ajst-21777	211	16	.	.	PUNCT
ajst-21777	212	1	paper	paper	NOUN
ajst-21777	212	2	presented	present	VERB
ajst-21777	212	3	at	at	ADP
ajst-21777	212	4	the	the	DET
ajst-21777	212	5	medical	medical	ADJ
ajst-21777	212	6	image	image	NOUN
ajst-21777	212	7	computing	computing	NOUN
ajst-21777	212	8	and	and	CCONJ
ajst-21777	212	9	computer	computer	NOUN
ajst-21777	212	10	assisted	assist	VERB
ajst-21777	212	11	intervention	intervention	NOUN
ajst-21777	212	12	–	–	PUNCT
ajst-21777	212	13	miccai	miccai	NOUN
ajst-21777	212	14	2021	2021	NUM
ajst-21777	212	15	:	:	PUNCT
ajst-21777	212	16	24th	24th	ADJ
ajst-21777	212	17	international	international	ADJ
ajst-21777	212	18	conference	conference	NOUN
ajst-21777	212	19	,	,	PUNCT
ajst-21777	212	20	strasbourg	strasbourg	NOUN
ajst-21777	212	21	,	,	PUNCT
ajst-21777	212	22	france	france	PROPN
ajst-21777	212	23	,	,	PUNCT
ajst-21777	212	24	september	september	PROPN
ajst-21777	212	25	27	27	NUM
ajst-21777	212	26	–	–	PUNCT
ajst-21777	212	27	october	october	PROPN
ajst-21777	212	28	1	1	NUM
ajst-21777	212	29	,	,	PUNCT
ajst-21777	212	30	2021	2021	NUM
ajst-21777	212	31	,	,	PUNCT
ajst-21777	212	32	proceedings	proceeding	NOUN
ajst-21777	212	33	,	,	PUNCT
ajst-21777	212	34	part	part	NOUN
ajst-21777	212	35	ii	ii	PROPN
ajst-21777	212	36	24	24	NUM
ajst-21777	212	37	.	.	PUNCT
ajst-21777	213	1	[	[	X
ajst-21777	213	2	23	23	NUM
ajst-21777	213	3	]	]	X
ajst-21777	213	4	liu	liu	PROPN
ajst-21777	213	5	,	,	PUNCT
ajst-21777	213	6	d.	d.	PROPN
ajst-21777	213	7	,	,	PUNCT
ajst-21777	213	8	sheng	sheng	PROPN
ajst-21777	213	9	,	,	PUNCT
ajst-21777	213	10	n.	n.	PROPN
ajst-21777	213	11	,	,	PUNCT
ajst-21777	213	12	han	han	PROPN
ajst-21777	213	13	,	,	PUNCT
ajst-21777	213	14	y.	y.	PROPN
ajst-21777	213	15	,	,	PUNCT
ajst-21777	213	16	hou	hou	PROPN
ajst-21777	213	17	,	,	PUNCT
ajst-21777	213	18	y.	y.	PROPN
ajst-21777	213	19	,	,	PUNCT
ajst-21777	213	20	liu	liu	PROPN
ajst-21777	213	21	,	,	PUNCT
ajst-21777	213	22	b.	b.	PROPN
ajst-21777	213	23	,	,	PUNCT
ajst-21777	213	24	zhang	zhang	PROPN
ajst-21777	213	25	,	,	PUNCT
ajst-21777	213	26	j.	j.	PROPN
ajst-21777	213	27	,	,	PUNCT
ajst-21777	213	28	.	.	PUNCT
ajst-21777	213	29	.	.	PUNCT
ajst-21777	213	30	.	.	PUNCT
ajst-21777	214	1	applications	application	NOUN
ajst-21777	214	2	.	.	PUNCT
ajst-21777	215	1	(	(	PUNCT
ajst-21777	215	2	2023	2023	NUM
ajst-21777	215	3	)	)	PUNCT
ajst-21777	215	4	.	.	PUNCT
ajst-21777	216	1	scau	scau	NOUN
ajst-21777	216	2	-	-	PUNCT
ajst-21777	216	3	net	net	NOUN
ajst-21777	216	4	:	:	PUNCT
ajst-21777	216	5	3d	3d	NUM
ajst-21777	216	6	self	self	NOUN
ajst-21777	216	7	-	-	PUNCT
ajst-21777	216	8	calibrated	calibrate	VERB
ajst-21777	216	9	attention	attention	NOUN
ajst-21777	216	10	u	u	NOUN
ajst-21777	216	11	-	-	NOUN
ajst-21777	216	12	net	net	ADJ
ajst-21777	216	13	for	for	ADP
ajst-21777	216	14	brain	brain	NOUN
ajst-21777	216	15	tumor	tumor	NOUN
ajst-21777	216	16	segmentation	segmentation	NOUN
ajst-21777	216	17	.	.	PUNCT
ajst-21777	217	1	35(33	35(33	NUM
ajst-21777	217	2	)	)	PUNCT
ajst-21777	217	3	,	,	PUNCT
ajst-21777	217	4	23973	23973	NUM
ajst-21777	217	5	-	-	SYM
ajst-21777	217	6	23985	23985	NUM
ajst-21777	217	7	.	.	PUNCT
ajst-21777	218	1	[	[	X
ajst-21777	218	2	24	24	NUM
ajst-21777	218	3	]	]	X
ajst-21777	218	4	luo	luo	PROPN
ajst-21777	218	5	,	,	PUNCT
ajst-21777	218	6	x.	x.	PROPN
ajst-21777	218	7	,	,	PUNCT
ajst-21777	218	8	chen	chen	PROPN
ajst-21777	218	9	,	,	PUNCT
ajst-21777	218	10	j.	j.	PROPN
ajst-21777	218	11	,	,	PUNCT
ajst-21777	218	12	song	song	NOUN
ajst-21777	218	13	,	,	PUNCT
ajst-21777	218	14	t.	t.	PROPN
ajst-21777	218	15	,	,	PUNCT
ajst-21777	218	16	&	&	CCONJ
ajst-21777	218	17	wang	wang	PROPN
ajst-21777	218	18	,	,	PUNCT
ajst-21777	218	19	g.	g.	PROPN
ajst-21777	218	20	(	(	PUNCT
ajst-21777	218	21	2021	2021	NUM
ajst-21777	218	22	)	)	PUNCT
ajst-21777	218	23	.	.	PUNCT
ajst-21777	219	1	semisupervised	semisupervise	VERB
ajst-21777	219	2	medical	medical	ADJ
ajst-21777	219	3	image	image	NOUN
ajst-21777	219	4	segmentation	segmentation	NOUN
ajst-21777	219	5	through	through	ADP
ajst-21777	219	6	dual	dual	ADJ
ajst-21777	219	7	-	-	PUNCT
ajst-21777	219	8	task	task	NOUN
ajst-21777	219	9	consistency	consistency	NOUN
ajst-21777	219	10	.	.	PUNCT
ajst-21777	220	1	paper	paper	NOUN
ajst-21777	220	2	presented	present	VERB
ajst-21777	220	3	at	at	ADP
ajst-21777	220	4	the	the	DET
ajst-21777	220	5	proceedings	proceeding	NOUN
ajst-21777	220	6	of	of	ADP
ajst-21777	220	7	the	the	DET
ajst-21777	220	8	aaai	aaai	PROPN
ajst-21777	220	9	conference	conference	NOUN
ajst-21777	220	10	on	on	ADP
ajst-21777	220	11	artificial	artificial	ADJ
ajst-21777	220	12	intelligence	intelligence	NOUN
ajst-21777	220	13	.	.	PUNCT
ajst-21777	221	1	[	[	X
ajst-21777	221	2	25	25	NUM
ajst-21777	221	3	]	]	X
ajst-21777	221	4	luo	luo	PROPN
ajst-21777	221	5	,	,	PUNCT
ajst-21777	221	6	x.	x.	PROPN
ajst-21777	221	7	,	,	PUNCT
ajst-21777	221	8	hu	hu	PROPN
ajst-21777	221	9	,	,	PUNCT
ajst-21777	221	10	m.	m.	NOUN
ajst-21777	221	11	,	,	PUNCT
ajst-21777	221	12	song	song	NOUN
ajst-21777	221	13	,	,	PUNCT
ajst-21777	221	14	t.	t.	PROPN
ajst-21777	221	15	,	,	PUNCT
ajst-21777	221	16	wang	wang	PROPN
ajst-21777	221	17	,	,	PUNCT
ajst-21777	221	18	g.	g.	PROPN
ajst-21777	221	19	,	,	PUNCT
ajst-21777	221	20	&	&	CCONJ
ajst-21777	221	21	zhang	zhang	PROPN
ajst-21777	221	22	,	,	PUNCT
ajst-21777	221	23	s.	s.	PROPN
ajst-21777	221	24	(	(	PUNCT
ajst-21777	221	25	2022	2022	NUM
ajst-21777	221	26	)	)	PUNCT
ajst-21777	221	27	.	.	PUNCT
ajst-21777	222	1	semi	semi	ADJ
ajst-21777	222	2	-	-	ADJ
ajst-21777	222	3	supervised	supervised	ADJ
ajst-21777	222	4	medical	medical	ADJ
ajst-21777	222	5	image	image	NOUN
ajst-21777	222	6	segmentation	segmentation	NOUN
ajst-21777	222	7	via	via	ADP
ajst-21777	222	8	cross	cross	NOUN
ajst-21777	222	9	teaching	teaching	NOUN
ajst-21777	222	10	between	between	ADP
ajst-21777	222	11	cnn	cnn	PROPN
ajst-21777	222	12	and	and	CCONJ
ajst-21777	222	13	transformer	transformer	NOUN
ajst-21777	222	14	.	.	PUNCT
ajst-21777	223	1	paper	paper	NOUN
ajst-21777	223	2	presented	present	VERB
ajst-21777	223	3	at	at	ADP
ajst-21777	223	4	the	the	DET
ajst-21777	223	5	international	international	ADJ
ajst-21777	223	6	conference	conference	NOUN
ajst-21777	223	7	on	on	ADP
ajst-21777	223	8	medical	medical	ADJ
ajst-21777	223	9	imaging	imaging	NOUN
ajst-21777	223	10	with	with	ADP
ajst-21777	223	11	deep	deep	ADJ
ajst-21777	223	12	learning	learning	NOUN
ajst-21777	223	13	.	.	PUNCT
ajst-21777	224	1	[	[	X
ajst-21777	224	2	26	26	NUM
ajst-21777	224	3	]	]	X
ajst-21777	224	4	oktay	oktay	PROPN
ajst-21777	224	5	,	,	PUNCT
ajst-21777	224	6	o.	o.	PROPN
ajst-21777	224	7	,	,	PUNCT
ajst-21777	224	8	schlemper	schlemper	ADJ
ajst-21777	224	9	,	,	PUNCT
ajst-21777	224	10	j.	j.	PROPN
ajst-21777	224	11	,	,	PUNCT
ajst-21777	224	12	folgoc	folgoc	PROPN
ajst-21777	224	13	,	,	PUNCT
ajst-21777	224	14	l.	l.	PROPN
ajst-21777	224	15	l.	l.	PROPN
ajst-21777	224	16	,	,	PUNCT
ajst-21777	224	17	lee	lee	PROPN
ajst-21777	224	18	,	,	PUNCT
ajst-21777	224	19	m.	m.	NOUN
ajst-21777	224	20	,	,	PUNCT
ajst-21777	224	21	heinrich	heinrich	NOUN
ajst-21777	224	22	,	,	PUNCT
ajst-21777	224	23	m.	m.	NOUN
ajst-21777	224	24	,	,	PUNCT
ajst-21777	224	25	misawa	misawa	PROPN
ajst-21777	224	26	,	,	PUNCT
ajst-21777	224	27	k.	k.	PROPN
ajst-21777	224	28	,	,	PUNCT
ajst-21777	224	29	.	.	PUNCT
ajst-21777	224	30	.	.	PUNCT
ajst-21777	224	31	.	.	PUNCT
ajst-21777	225	1	kainz	kainz	PROPN
ajst-21777	225	2	,	,	PUNCT
ajst-21777	225	3	b.	b.	PROPN
ajst-21777	225	4	j.	j.	PROPN
ajst-21777	225	5	a.	a.	PROPN
ajst-21777	225	6	p.	p.	PROPN
ajst-21777	225	7	a.	a.	NOUN
ajst-21777	225	8	(	(	PUNCT
ajst-21777	225	9	2018	2018	NUM
ajst-21777	225	10	)	)	PUNCT
ajst-21777	225	11	.	.	PUNCT
ajst-21777	226	1	attention	attention	NOUN
ajst-21777	226	2	u	u	NOUN
ajst-21777	226	3	-	-	NOUN
ajst-21777	226	4	net	net	ADJ
ajst-21777	226	5	:	:	PUNCT
ajst-21777	226	6	learning	learn	VERB
ajst-21777	226	7	where	where	SCONJ
ajst-21777	226	8	to	to	PART
ajst-21777	226	9	look	look	VERB
ajst-21777	226	10	for	for	ADP
ajst-21777	226	11	the	the	DET
ajst-21777	226	12	pancreas	pancrea	NOUN
ajst-21777	226	13	.	.	PUNCT
ajst-21777	227	1	[	[	X
ajst-21777	227	2	27	27	NUM
ajst-21777	227	3	]	]	X
ajst-21777	227	4	renzhen	renzhen	NOUN
ajst-21777	227	5	,	,	PUNCT
ajst-21777	227	6	w.	w.	PROPN
ajst-21777	227	7	,	,	PUNCT
ajst-21777	227	8	wu	wu	PROPN
ajst-21777	227	9	,	,	PUNCT
ajst-21777	227	10	y.	y.	PROPN
ajst-21777	227	11	,	,	PUNCT
ajst-21777	227	12	chen	chen	PROPN
ajst-21777	227	13	,	,	PUNCT
ajst-21777	227	14	h.	h.	PROPN
ajst-21777	227	15	,	,	PUNCT
ajst-21777	227	16	wang	wang	PROPN
ajst-21777	227	17	,	,	PUNCT
ajst-21777	227	18	l.	l.	PROPN
ajst-21777	227	19	,	,	PUNCT
ajst-21777	227	20	&	&	CCONJ
ajst-21777	227	21	meng	meng	PROPN
ajst-21777	227	22	,	,	PUNCT
ajst-21777	227	23	d.	d.	PROPN
ajst-21777	227	24	(	(	PUNCT
ajst-21777	227	25	2021	2021	NUM
ajst-21777	227	26	)	)	PUNCT
ajst-21777	227	27	.	.	PUNCT
ajst-21777	228	1	neighbor	neighbor	NOUN
ajst-21777	228	2	matching	match	VERB
ajst-21777	228	3	for	for	ADP
ajst-21777	228	4	semi	semi	ADJ
ajst-21777	228	5	-	-	ADJ
ajst-21777	228	6	supervised	supervised	ADJ
ajst-21777	228	7	learning	learning	NOUN
ajst-21777	228	8	.	.	PUNCT
ajst-21777	229	1	paper	paper	NOUN
ajst-21777	229	2	presented	present	VERB
ajst-21777	229	3	at	at	ADP
ajst-21777	229	4	the	the	DET
ajst-21777	229	5	medical	medical	ADJ
ajst-21777	229	6	image	image	NOUN
ajst-21777	229	7	computing	computing	NOUN
ajst-21777	229	8	and	and	CCONJ
ajst-21777	229	9	computer	computer	NOUN
ajst-21777	229	10	assisted	assist	VERB
ajst-21777	229	11	intervention	intervention	NOUN
ajst-21777	229	12	–	–	PUNCT
ajst-21777	229	13	miccai	miccai	NOUN
ajst-21777	229	14	2021	2021	NUM
ajst-21777	229	15	:	:	PUNCT
ajst-21777	229	16	24th	24th	ADJ
ajst-21777	229	17	international	international	ADJ
ajst-21777	229	18	conference	conference	NOUN
ajst-21777	229	19	,	,	PUNCT
ajst-21777	229	20	strasbourg	strasbourg	NOUN
ajst-21777	229	21	,	,	PUNCT
ajst-21777	229	22	france	france	PROPN
ajst-21777	229	23	,	,	PUNCT
ajst-21777	229	24	september	september	PROPN
ajst-21777	229	25	27	27	NUM
ajst-21777	229	26	–	–	PUNCT
ajst-21777	229	27	october	october	PROPN
ajst-21777	229	28	1	1	NUM
ajst-21777	229	29	,	,	PUNCT
ajst-21777	229	30	2021	2021	NUM
ajst-21777	229	31	,	,	PUNCT
ajst-21777	229	32	proceedings	proceeding	NOUN
ajst-21777	229	33	,	,	PUNCT
ajst-21777	229	34	part	part	NOUN
ajst-21777	229	35	ii	ii	PROPN
ajst-21777	229	36	24	24	NUM
ajst-21777	229	37	.	.	PUNCT
ajst-21777	230	1	[	[	X
ajst-21777	230	2	28	28	NUM
ajst-21777	230	3	]	]	X
ajst-21777	230	4	ronneberger	ronneberger	NOUN
ajst-21777	230	5	,	,	PUNCT
ajst-21777	230	6	o.	o.	PROPN
ajst-21777	230	7	,	,	PUNCT
ajst-21777	230	8	fischer	fischer	PROPN
ajst-21777	230	9	,	,	PUNCT
ajst-21777	230	10	p.	p.	PROPN
ajst-21777	230	11	,	,	PUNCT
ajst-21777	230	12	&	&	CCONJ
ajst-21777	230	13	brox	brox	PROPN
ajst-21777	230	14	,	,	PUNCT
ajst-21777	230	15	t.	t.	PROPN
ajst-21777	230	16	(	(	PUNCT
ajst-21777	230	17	2015	2015	NUM
ajst-21777	230	18	)	)	PUNCT
ajst-21777	230	19	.	.	PUNCT
ajst-21777	231	1	u	u	NOUN
ajst-21777	231	2	-	-	NOUN
ajst-21777	231	3	net	net	ADJ
ajst-21777	231	4	:	:	PUNCT
ajst-21777	231	5	convolutional	convolutional	ADJ
ajst-21777	231	6	networks	network	NOUN
ajst-21777	231	7	for	for	ADP
ajst-21777	231	8	biomedical	biomedical	ADJ
ajst-21777	231	9	image	image	NOUN
ajst-21777	231	10	segmentation	segmentation	NOUN
ajst-21777	231	11	.	.	PUNCT
ajst-21777	232	1	paper	paper	NOUN
ajst-21777	232	2	presented	present	VERB
ajst-21777	232	3	at	at	ADP
ajst-21777	232	4	the	the	DET
ajst-21777	232	5	medical	medical	ADJ
ajst-21777	232	6	image	image	NOUN
ajst-21777	232	7	computing	computing	NOUN
ajst-21777	232	8	and	and	CCONJ
ajst-21777	232	9	computer	computer	NOUN
ajst-21777	232	10	-	-	PUNCT
ajst-21777	232	11	assisted	assist	VERB
ajst-21777	232	12	intervention	intervention	NOUN
ajst-21777	232	13	–	–	PUNCT
ajst-21777	232	14	miccai	miccai	NOUN
ajst-21777	232	15	2015	2015	NUM
ajst-21777	232	16	:	:	PUNCT
ajst-21777	232	17	18th	18th	ADJ
ajst-21777	232	18	international	international	ADJ
ajst-21777	232	19	conference	conference	NOUN
ajst-21777	232	20	,	,	PUNCT
ajst-21777	232	21	munich	munich	PROPN
ajst-21777	232	22	,	,	PUNCT
ajst-21777	232	23	germany	germany	PROPN
ajst-21777	232	24	,	,	PUNCT
ajst-21777	232	25	october	october	PROPN
ajst-21777	232	26	5	5	NUM
ajst-21777	232	27	-	-	SYM
ajst-21777	232	28	9	9	NUM
ajst-21777	232	29	,	,	PUNCT
ajst-21777	232	30	2015	2015	NUM
ajst-21777	232	31	,	,	PUNCT
ajst-21777	232	32	proceedings	proceeding	NOUN
ajst-21777	232	33	,	,	PUNCT
ajst-21777	232	34	part	part	NOUN
ajst-21777	232	35	iii	iii	PROPN
ajst-21777	232	36	18	18	NUM
ajst-21777	232	37	.	.	PUNCT
ajst-21777	233	1	[	[	X
ajst-21777	233	2	29	29	NUM
ajst-21777	233	3	]	]	SYM
ajst-21777	233	4	ryalat	ryalat	NOUN
ajst-21777	233	5	,	,	PUNCT
ajst-21777	233	6	m.	m.	PROPN
ajst-21777	233	7	h.	h.	PROPN
ajst-21777	233	8	,	,	PUNCT
ajst-21777	233	9	dorgham	dorgham	PROPN
ajst-21777	233	10	,	,	PUNCT
ajst-21777	233	11	o.	o.	PROPN
ajst-21777	233	12	,	,	PUNCT
ajst-21777	233	13	tedmori	tedmori	NOUN
ajst-21777	233	14	,	,	PUNCT
ajst-21777	233	15	s.	s.	PROPN
ajst-21777	233	16	,	,	PUNCT
ajst-21777	233	17	al	al	PROPN
ajst-21777	233	18	-	-	PUNCT
ajst-21777	233	19	rahamneh	rahamneh	PROPN
ajst-21777	233	20	,	,	PUNCT
ajst-21777	233	21	z.	z.	PROPN
ajst-21777	233	22	,	,	PUNCT
ajst-21777	233	23	al	al	PROPN
ajst-21777	233	24	-	-	PUNCT
ajst-21777	233	25	najdawi	najdawi	ADJ
ajst-21777	233	26	,	,	PUNCT
ajst-21777	233	27	n.	n.	NOUN
ajst-21777	233	28	,	,	PUNCT
ajst-21777	233	29	mirjalili	mirjalili	NOUN
ajst-21777	233	30	,	,	PUNCT
ajst-21777	233	31	s.	s.	PROPN
ajst-21777	233	32	j.	j.	PROPN
ajst-21777	233	33	n.	n.	PROPN
ajst-21777	233	34	c.	c.	PROPN
ajst-21777	233	35	,	,	PUNCT
ajst-21777	233	36	&	&	CCONJ
ajst-21777	233	37	applications	application	NOUN
ajst-21777	233	38	.	.	PUNCT
ajst-21777	234	1	(	(	PUNCT
ajst-21777	234	2	2023	2023	NUM
ajst-21777	234	3	)	)	PUNCT
ajst-21777	234	4	.	.	PUNCT
ajst-21777	235	1	harris	harris	PROPN
ajst-21777	235	2	hawks	hawks	PROPN
ajst-21777	235	3	optimization	optimization	NOUN
ajst-21777	235	4	for	for	ADP
ajst-21777	235	5	covid-19	covid-19	PROPN
ajst-21777	235	6	diagnosis	diagnosis	NOUN
ajst-21777	235	7	based	base	VERB
ajst-21777	235	8	on	on	ADP
ajst-21777	235	9	multi	multi	ADJ
ajst-21777	235	10	-	-	ADJ
ajst-21777	235	11	threshold	threshold	ADJ
ajst-21777	235	12	image	image	NOUN
ajst-21777	235	13	segmentation	segmentation	NOUN
ajst-21777	235	14	.	.	PUNCT
ajst-21777	236	1	35(9	35(9	NUM
ajst-21777	236	2	)	)	PUNCT
ajst-21777	236	3	,	,	PUNCT
ajst-21777	236	4	6855	6855	NUM
ajst-21777	236	5	-	-	SYM
ajst-21777	236	6	6873	6873	NUM
ajst-21777	236	7	.	.	PUNCT
ajst-21777	237	1	[	[	X
ajst-21777	237	2	30	30	NUM
ajst-21777	237	3	]	]	PUNCT
ajst-21777	237	4	said	say	VERB
ajst-21777	237	5	,	,	PUNCT
ajst-21777	237	6	y.	y.	PROPN
ajst-21777	237	7	,	,	PUNCT
ajst-21777	237	8	alsheikhy	alsheikhy	PROPN
ajst-21777	237	9	,	,	PUNCT
ajst-21777	237	10	a.	a.	NOUN
ajst-21777	237	11	a.	a.	PROPN
ajst-21777	237	12	,	,	PUNCT
ajst-21777	237	13	shawly	shawly	ADV
ajst-21777	237	14	,	,	PUNCT
ajst-21777	237	15	t.	t.	PROPN
ajst-21777	237	16	,	,	PUNCT
ajst-21777	237	17	&	&	CCONJ
ajst-21777	237	18	lahza	lahza	PROPN
ajst-21777	237	19	,	,	PUNCT
ajst-21777	237	20	h.	h.	PROPN
ajst-21777	237	21	j.	j.	PROPN
ajst-21777	237	22	d.	d.	PROPN
ajst-21777	237	23	(	(	PUNCT
ajst-21777	237	24	2023	2023	NUM
ajst-21777	237	25	)	)	PUNCT
ajst-21777	237	26	.	.	PUNCT
ajst-21777	238	1	medical	medical	ADJ
ajst-21777	238	2	images	image	NOUN
ajst-21777	238	3	segmentation	segmentation	NOUN
ajst-21777	238	4	for	for	ADP
ajst-21777	238	5	lung	lung	NOUN
ajst-21777	238	6	cancer	cancer	NOUN
ajst-21777	238	7	diagnosis	diagnosis	NOUN
ajst-21777	238	8	based	base	VERB
ajst-21777	238	9	on	on	ADP
ajst-21777	238	10	deep	deep	ADJ
ajst-21777	238	11	learning	learning	NOUN
ajst-21777	238	12	architectures	architecture	NOUN
ajst-21777	238	13	.	.	PUNCT
ajst-21777	239	1	13(3	13(3	NUM
ajst-21777	239	2	)	)	PUNCT
ajst-21777	239	3	,	,	PUNCT
ajst-21777	239	4	546	546	NUM
ajst-21777	239	5	.	.	PUNCT
ajst-21777	240	1	[	[	X
ajst-21777	240	2	31	31	NUM
ajst-21777	240	3	]	]	PUNCT
ajst-21777	240	4	seibold	seibold	ADJ
ajst-21777	240	5	,	,	PUNCT
ajst-21777	240	6	c.	c.	PROPN
ajst-21777	240	7	m.	m.	NOUN
ajst-21777	240	8	,	,	PUNCT
ajst-21777	240	9	reiß	reiß	NOUN
ajst-21777	240	10	,	,	PUNCT
ajst-21777	240	11	s.	s.	PROPN
ajst-21777	240	12	,	,	PUNCT
ajst-21777	240	13	kleesiek	kleesiek	PROPN
ajst-21777	240	14	,	,	PUNCT
ajst-21777	240	15	j.	j.	PROPN
ajst-21777	240	16	,	,	PUNCT
ajst-21777	240	17	&	&	CCONJ
ajst-21777	240	18	stiefelhagen	stiefelhagen	PROPN
ajst-21777	240	19	,	,	PUNCT
ajst-21777	240	20	r.	r.	PROPN
ajst-21777	240	21	(	(	PUNCT
ajst-21777	240	22	2022	2022	NUM
ajst-21777	240	23	)	)	PUNCT
ajst-21777	240	24	.	.	PUNCT
ajst-21777	241	1	reference	reference	NOUN
ajst-21777	241	2	-	-	PUNCT
ajst-21777	241	3	guided	guide	VERB
ajst-21777	241	4	pseudo	pseudo	NOUN
ajst-21777	241	5	-	-	ADJ
ajst-21777	241	6	label	label	NOUN
ajst-21777	241	7	generation	generation	NOUN
ajst-21777	241	8	for	for	ADP
ajst-21777	241	9	medical	medical	ADJ
ajst-21777	241	10	semantic	semantic	ADJ
ajst-21777	241	11	segmentation	segmentation	NOUN
ajst-21777	241	12	.	.	PUNCT
ajst-21777	242	1	paper	paper	NOUN
ajst-21777	242	2	presented	present	VERB
ajst-21777	242	3	at	at	ADP
ajst-21777	242	4	the	the	DET
ajst-21777	242	5	proceedings	proceeding	NOUN
ajst-21777	242	6	of	of	ADP
ajst-21777	242	7	the	the	DET
ajst-21777	242	8	aaai	aaai	PROPN
ajst-21777	242	9	conference	conference	NOUN
ajst-21777	242	10	on	on	ADP
ajst-21777	242	11	artificial	artificial	ADJ
ajst-21777	242	12	intelligence	intelligence	NOUN
ajst-21777	242	13	.	.	PUNCT
ajst-21777	243	1	[	[	X
ajst-21777	243	2	32	32	NUM
ajst-21777	243	3	]	]	SYM
ajst-21777	243	4	shaojie	shaojie	PROPN
ajst-21777	243	5	,	,	PUNCT
ajst-21777	243	6	l.	l.	PROPN
ajst-21777	243	7	,	,	PUNCT
ajst-21777	243	8	zhang	zhang	PROPN
ajst-21777	243	9	,	,	PUNCT
ajst-21777	243	10	y.	y.	PROPN
ajst-21777	243	11	,	,	PUNCT
ajst-21777	243	12	&	&	CCONJ
ajst-21777	243	13	yang	yang	PROPN
ajst-21777	243	14	,	,	PUNCT
ajst-21777	243	15	x.	x.	NOUN
ajst-21777	243	16	(	(	PUNCT
ajst-21777	243	17	2021	2021	NUM
ajst-21777	243	18	)	)	PUNCT
ajst-21777	243	19	.	.	PUNCT
ajst-21777	244	1	semi	semi	ADJ
ajst-21777	244	2	-	-	ADJ
ajst-21777	244	3	supervised	supervised	ADJ
ajst-21777	244	4	cardiac	cardiac	ADJ
ajst-21777	244	5	mri	mri	NOUN
ajst-21777	244	6	segmentation	segmentation	NOUN
ajst-21777	244	7	based	base	VERB
ajst-21777	244	8	on	on	ADP
ajst-21777	244	9	generative	generative	ADJ
ajst-21777	244	10	adversarial	adversarial	ADJ
ajst-21777	244	11	network	network	NOUN
ajst-21777	244	12	and	and	CCONJ
ajst-21777	244	13	variational	variational	ADJ
ajst-21777	244	14	auto	auto	NOUN
ajst-21777	244	15	-	-	PUNCT
ajst-21777	244	16	encoder	encoder	NOUN
ajst-21777	244	17	.	.	PUNCT
ajst-21777	245	1	paper	paper	NOUN
ajst-21777	245	2	presented	present	VERB
ajst-21777	245	3	at	at	ADP
ajst-21777	245	4	the	the	DET
ajst-21777	245	5	2021	2021	NUM
ajst-21777	245	6	ieee	ieee	NOUN
ajst-21777	245	7	international	international	ADJ
ajst-21777	245	8	conference	conference	NOUN
ajst-21777	245	9	on	on	ADP
ajst-21777	245	10	bioinformatics	bioinformatics	NOUN
ajst-21777	245	11	and	and	CCONJ
ajst-21777	245	12	biomedicine	biomedicine	NOUN
ajst-21777	245	13	(	(	PUNCT
ajst-21777	245	14	bibm	bibm	NOUN
ajst-21777	245	15	)	)	PUNCT
ajst-21777	245	16	.	.	PUNCT
ajst-21777	246	1	[	[	X
ajst-21777	246	2	33	33	NUM
ajst-21777	246	3	]	]	X
ajst-21777	246	4	shi	shi	PROPN
ajst-21777	246	5	,	,	PUNCT
ajst-21777	246	6	y.	y.	PROPN
ajst-21777	246	7	,	,	PUNCT
ajst-21777	246	8	zhang	zhang	PROPN
ajst-21777	246	9	,	,	PUNCT
ajst-21777	246	10	j.	j.	PROPN
ajst-21777	246	11	,	,	PUNCT
ajst-21777	246	12	ling	ling	PROPN
ajst-21777	246	13	,	,	PUNCT
ajst-21777	246	14	t.	t.	PROPN
ajst-21777	246	15	,	,	PUNCT
ajst-21777	246	16	lu	lu	PROPN
ajst-21777	246	17	,	,	PUNCT
ajst-21777	246	18	j.	j.	PROPN
ajst-21777	246	19	,	,	PUNCT
ajst-21777	246	20	zheng	zheng	PROPN
ajst-21777	246	21	,	,	PUNCT
ajst-21777	246	22	y.	y.	PROPN
ajst-21777	246	23	,	,	PUNCT
ajst-21777	246	24	yu	yu	PROPN
ajst-21777	246	25	,	,	PUNCT
ajst-21777	246	26	q.	q.	PROPN
ajst-21777	246	27	,	,	PUNCT
ajst-21777	246	28	.	.	PUNCT
ajst-21777	246	29	.	.	PUNCT
ajst-21777	246	30	.	.	PUNCT
ajst-21777	247	1	gao	gao	PROPN
ajst-21777	247	2	,	,	PUNCT
ajst-21777	247	3	y.	y.	PROPN
ajst-21777	247	4	j.	j.	PROPN
ajst-21777	247	5	i.	i.	PROPN
ajst-21777	247	6	t.	t.	PROPN
ajst-21777	247	7	o.	o.	PROPN
ajst-21777	247	8	m.	m.	PROPN
ajst-21777	247	9	i.	i.	PROPN
ajst-21777	247	10	(	(	PUNCT
ajst-21777	247	11	2021	2021	NUM
ajst-21777	247	12	)	)	PUNCT
ajst-21777	247	13	.	.	PUNCT
ajst-21777	248	1	inconsistency	inconsistency	NOUN
ajst-21777	248	2	-	-	PUNCT
ajst-21777	248	3	aware	aware	ADJ
ajst-21777	248	4	uncertainty	uncertainty	NOUN
ajst-21777	248	5	estimation	estimation	NOUN
ajst-21777	248	6	for	for	ADP
ajst-21777	248	7	semi	semi	ADJ
ajst-21777	248	8	-	-	ADJ
ajst-21777	248	9	supervised	supervised	ADJ
ajst-21777	248	10	medical	medical	ADJ
ajst-21777	248	11	image	image	NOUN
ajst-21777	248	12	segmentation	segmentation	NOUN
ajst-21777	248	13	.	.	PUNCT
ajst-21777	249	1	41(3	41(3	X
ajst-21777	249	2	)	)	PUNCT
ajst-21777	249	3	,	,	PUNCT
ajst-21777	249	4	608	608	NUM
ajst-21777	249	5	-	-	SYM
ajst-21777	249	6	620	620	NUM
ajst-21777	249	7	.	.	PUNCT
ajst-21777	250	1	[	[	X
ajst-21777	250	2	34	34	NUM
ajst-21777	250	3	]	]	X
ajst-21777	250	4	srivastava	srivastava	PROPN
ajst-21777	250	5	,	,	PUNCT
ajst-21777	250	6	a.	a.	PROPN
ajst-21777	250	7	,	,	PUNCT
ajst-21777	250	8	jha	jha	PROPN
ajst-21777	250	9	,	,	PUNCT
ajst-21777	250	10	d.	d.	PROPN
ajst-21777	250	11	,	,	PUNCT
ajst-21777	250	12	chanda	chanda	PROPN
ajst-21777	250	13	,	,	PUNCT
ajst-21777	250	14	s.	s.	PROPN
ajst-21777	250	15	,	,	PUNCT
ajst-21777	250	16	pal	pal	NOUN
ajst-21777	250	17	,	,	PUNCT
ajst-21777	250	18	u.	u.	PROPN
ajst-21777	250	19	,	,	PUNCT
ajst-21777	250	20	johansen	johansen	PROPN
ajst-21777	250	21	,	,	PUNCT
ajst-21777	250	22	h.	h.	PROPN
ajst-21777	250	23	d.	d.	PROPN
ajst-21777	250	24	,	,	PUNCT
ajst-21777	250	25	johansen	johansen	PROPN
ajst-21777	250	26	,	,	PUNCT
ajst-21777	250	27	d.	d.	PROPN
ajst-21777	250	28	,	,	PUNCT
ajst-21777	250	29	.	.	PUNCT
ajst-21777	250	30	.	.	PUNCT
ajst-21777	250	31	.	.	PUNCT
ajst-21777	251	1	informatics	informatics	PROPN
ajst-21777	251	2	,	,	PUNCT
ajst-21777	251	3	h.	h.	PROPN
ajst-21777	251	4	(	(	PUNCT
ajst-21777	251	5	2021	2021	NUM
ajst-21777	251	6	)	)	PUNCT
ajst-21777	251	7	.	.	PUNCT
ajst-21777	252	1	msrf	msrf	NOUN
ajst-21777	252	2	-	-	PUNCT
ajst-21777	252	3	net	net	NOUN
ajst-21777	252	4	:	:	PUNCT
ajst-21777	252	5	a	a	DET
ajst-21777	252	6	multiscale	multiscale	ADJ
ajst-21777	252	7	residual	residual	ADJ
ajst-21777	252	8	fusion	fusion	NOUN
ajst-21777	252	9	network	network	NOUN
ajst-21777	252	10	for	for	ADP
ajst-21777	252	11	biomedical	biomedical	ADJ
ajst-21777	252	12	image	image	NOUN
ajst-21777	252	13	segmentation	segmentation	NOUN
ajst-21777	252	14	.	.	PUNCT
ajst-21777	253	1	26(5	26(5	PROPN
ajst-21777	253	2	)	)	PUNCT
ajst-21777	253	3	,	,	PUNCT
ajst-21777	253	4	2252	2252	NUM
ajst-21777	253	5	-	-	SYM
ajst-21777	253	6	2263	2263	NUM
ajst-21777	253	7	.	.	PUNCT
ajst-21777	254	1	[	[	X
ajst-21777	254	2	35	35	NUM
ajst-21777	254	3	]	]	SYM
ajst-21777	254	4	su	su	PROPN
ajst-21777	254	5	,	,	PUNCT
ajst-21777	254	6	r.	r.	PROPN
ajst-21777	254	7	,	,	PUNCT
ajst-21777	254	8	zhang	zhang	PROPN
ajst-21777	254	9	,	,	PUNCT
ajst-21777	254	10	d.	d.	PROPN
ajst-21777	254	11	,	,	PUNCT
ajst-21777	254	12	liu	liu	PROPN
ajst-21777	254	13	,	,	PUNCT
ajst-21777	254	14	j.	j.	PROPN
ajst-21777	254	15	,	,	PUNCT
ajst-21777	254	16	&	&	CCONJ
ajst-21777	254	17	cheng	cheng	PROPN
ajst-21777	254	18	,	,	PUNCT
ajst-21777	254	19	c.	c.	PROPN
ajst-21777	254	20	j.	j.	PROPN
ajst-21777	254	21	f.	f.	PROPN
ajst-21777	254	22	i.	i.	PROPN
ajst-21777	254	23	g.	g.	PROPN
ajst-21777	254	24	(	(	PUNCT
ajst-21777	254	25	2021	2021	NUM
ajst-21777	254	26	)	)	PUNCT
ajst-21777	254	27	.	.	PUNCT
ajst-21777	255	1	msunet	msunet	NOUN
ajst-21777	255	2	:	:	PUNCT
ajst-21777	255	3	multi	multi	ADJ
ajst-21777	255	4	-	-	ADJ
ajst-21777	255	5	scale	scale	ADJ
ajst-21777	255	6	u	u	NOUN
ajst-21777	255	7	-	-	NOUN
ajst-21777	255	8	net	net	NOUN
ajst-21777	255	9	for	for	ADP
ajst-21777	255	10	2d	2d	NUM
ajst-21777	255	11	medical	medical	ADJ
ajst-21777	255	12	image	image	NOUN
ajst-21777	255	13	segmentation	segmentation	NOUN
ajst-21777	255	14	.	.	PUNCT
ajst-21777	256	1	12	12	NUM
ajst-21777	256	2	,	,	PUNCT
ajst-21777	256	3	639930	639930	NUM
ajst-21777	256	4	.	.	PUNCT
ajst-21777	257	1	[	[	X
ajst-21777	257	2	36	36	NUM
ajst-21777	257	3	]	]	X
ajst-21777	257	4	tarvainen	tarvainen	NOUN
ajst-21777	257	5	,	,	PUNCT
ajst-21777	257	6	a.	a.	NOUN
ajst-21777	257	7	,	,	PUNCT
ajst-21777	257	8	&	&	CCONJ
ajst-21777	257	9	valpola	valpola	PROPN
ajst-21777	257	10	,	,	PUNCT
ajst-21777	257	11	h.	h.	PROPN
ajst-21777	257	12	j.	j.	PROPN
ajst-21777	257	13	a.	a.	PROPN
ajst-21777	257	14	i.	i.	PROPN
ajst-21777	257	15	n.	n.	PROPN
ajst-21777	257	16	i.	i.	PROPN
ajst-21777	257	17	p.	p.	PROPN
ajst-21777	257	18	s.	s.	PROPN
ajst-21777	257	19	(	(	PUNCT
ajst-21777	257	20	2017	2017	NUM
ajst-21777	257	21	)	)	PUNCT
ajst-21777	257	22	.	.	PUNCT
ajst-21777	258	1	mean	mean	PROPN
ajst-21777	258	2	teachers	teacher	NOUN
ajst-21777	258	3	are	be	AUX
ajst-21777	258	4	better	well	ADJ
ajst-21777	258	5	role	role	NOUN
ajst-21777	258	6	models	model	NOUN
ajst-21777	258	7	:	:	PUNCT
ajst-21777	258	8	weight	weight	NOUN
ajst-21777	258	9	-	-	PUNCT
ajst-21777	258	10	averaged	average	VERB
ajst-21777	258	11	consistency	consistency	NOUN
ajst-21777	258	12	targets	target	NOUN
ajst-21777	258	13	improve	improve	VERB
ajst-21777	258	14	semi	semi	ADJ
ajst-21777	258	15	-	-	ADJ
ajst-21777	258	16	supervised	supervised	ADJ
ajst-21777	258	17	deep	deep	ADJ
ajst-21777	258	18	learning	learning	NOUN
ajst-21777	258	19	results	result	NOUN
ajst-21777	258	20	.	.	PUNCT
ajst-21777	259	1	30	30	NUM
ajst-21777	259	2	.	.	PUNCT
ajst-21777	260	1	[	[	X
ajst-21777	260	2	37	37	NUM
ajst-21777	260	3	]	]	X
ajst-21777	260	4	upadhyay	upadhyay	PROPN
ajst-21777	260	5	,	,	PUNCT
ajst-21777	260	6	a.	a.	PROPN
ajst-21777	260	7	k.	k.	PROPN
ajst-21777	260	8	,	,	PUNCT
ajst-21777	260	9	bhandari	bhandari	PROPN
ajst-21777	260	10	,	,	PUNCT
ajst-21777	260	11	a.	a.	PROPN
ajst-21777	260	12	k.	k.	PROPN
ajst-21777	260	13	j.	j.	PROPN
ajst-21777	260	14	i.	i.	PROPN
ajst-21777	260	15	t.	t.	PROPN
ajst-21777	260	16	o.	o.	PROPN
ajst-21777	260	17	r.	r.	PROPN
ajst-21777	260	18	,	,	PUNCT
ajst-21777	260	19	&	&	CCONJ
ajst-21777	260	20	sciences	sciences	PROPN
ajst-21777	260	21	,	,	PUNCT
ajst-21777	260	22	p.	p.	NOUN
ajst-21777	260	23	m.	m.	NOUN
ajst-21777	260	24	(	(	PUNCT
ajst-21777	260	25	2023	2023	NUM
ajst-21777	260	26	)	)	PUNCT
ajst-21777	260	27	.	.	PUNCT
ajst-21777	261	1	semi	semi	ADJ
ajst-21777	261	2	-	-	ADJ
ajst-21777	261	3	supervised	supervised	ADJ
ajst-21777	261	4	modified	modify	VERB
ajst-21777	261	5	-	-	PUNCT
ajst-21777	261	6	unet	unet	NOUN
ajst-21777	261	7	for	for	ADP
ajst-21777	261	8	lung	lung	NOUN
ajst-21777	261	9	infection	infection	NOUN
ajst-21777	261	10	image	image	NOUN
ajst-21777	261	11	segmentation	segmentation	NOUN
ajst-21777	261	12	.	.	PUNCT
ajst-21777	262	1	[	[	X
ajst-21777	262	2	38	38	NUM
ajst-21777	262	3	]	]	PUNCT
ajst-21777	262	4	xiaoyan	xiaoyan	PROPN
ajst-21777	262	5	,	,	PUNCT
ajst-21777	262	6	w.	w.	PROPN
ajst-21777	262	7	,	,	PUNCT
ajst-21777	262	8	yuan	yuan	PROPN
ajst-21777	262	9	,	,	PUNCT
ajst-21777	262	10	y.	y.	PROPN
ajst-21777	262	11	,	,	PUNCT
ajst-21777	262	12	guo	guo	PROPN
ajst-21777	262	13	,	,	PUNCT
ajst-21777	262	14	d.	d.	PROPN
ajst-21777	262	15	,	,	PUNCT
ajst-21777	262	16	huang	huang	PROPN
ajst-21777	262	17	,	,	PUNCT
ajst-21777	262	18	x.	x.	PROPN
ajst-21777	262	19	,	,	PUNCT
ajst-21777	262	20	cui	cui	PROPN
ajst-21777	262	21	,	,	PUNCT
ajst-21777	262	22	y.	y.	PROPN
ajst-21777	262	23	,	,	PUNCT
ajst-21777	262	24	xia	xia	PROPN
ajst-21777	262	25	,	,	PUNCT
ajst-21777	262	26	m.	m.	NOUN
ajst-21777	262	27	,	,	PUNCT
ajst-21777	262	28	.	.	PUNCT
ajst-21777	262	29	.	.	PUNCT
ajst-21777	262	30	.	.	PUNCT
ajst-21777	263	1	chen	chen	PROPN
ajst-21777	263	2	,	,	PUNCT
ajst-21777	263	3	s.	s.	PROPN
ajst-21777	263	4	j.	j.	PROPN
ajst-21777	263	5	m.	m.	PROPN
ajst-21777	263	6	i.	i.	PROPN
ajst-21777	263	7	a.	a.	PROPN
ajst-21777	263	8	(	(	PUNCT
ajst-21777	263	9	2022	2022	NUM
ajst-21777	263	10	)	)	PUNCT
ajst-21777	263	11	.	.	PUNCT
ajst-21777	264	1	ssa	ssa	NOUN
ajst-21777	264	2	-	-	PUNCT
ajst-21777	264	3	net	net	NOUN
ajst-21777	264	4	:	:	PUNCT
ajst-21777	264	5	spatial	spatial	ADJ
ajst-21777	264	6	selfattention	selfattention	NOUN
ajst-21777	264	7	network	network	NOUN
ajst-21777	264	8	for	for	ADP
ajst-21777	264	9	covid-19	covid-19	PROPN
ajst-21777	264	10	pneumonia	pneumonia	NOUN
ajst-21777	264	11	infection	infection	NOUN
ajst-21777	264	12	segmentation	segmentation	NOUN
ajst-21777	264	13	with	with	ADP
ajst-21777	264	14	semi	semi	ADJ
ajst-21777	264	15	-	-	ADJ
ajst-21777	264	16	supervised	supervised	ADJ
ajst-21777	264	17	few	few	ADJ
ajst-21777	264	18	-	-	PUNCT
ajst-21777	264	19	shot	shot	NOUN
ajst-21777	264	20	learning	learning	NOUN
ajst-21777	264	21	.	.	PUNCT
ajst-21777	265	1	79	79	NUM
ajst-21777	265	2	,	,	PUNCT
ajst-21777	265	3	102459	102459	NUM
ajst-21777	265	4	.	.	PUNCT
ajst-21777	266	1	[	[	X
ajst-21777	266	2	39	39	NUM
ajst-21777	266	3	]	]	PUNCT
ajst-21777	266	4	xiaoyu	xiaoyu	PROPN
ajst-21777	266	5	,	,	PUNCT
ajst-21777	266	6	c.	c.	PROPN
ajst-21777	266	7	,	,	PUNCT
ajst-21777	266	8	zhou	zhou	PROPN
ajst-21777	266	9	,	,	PUNCT
ajst-21777	266	10	h.-y	h.-y	NOUN
ajst-21777	266	11	.	.	PUNCT
ajst-21777	266	12	,	,	PUNCT
ajst-21777	266	13	liu	liu	PROPN
ajst-21777	266	14	,	,	PUNCT
ajst-21777	266	15	f.	f.	PROPN
ajst-21777	266	16	,	,	PUNCT
ajst-21777	266	17	guo	guo	PROPN
ajst-21777	266	18	,	,	PUNCT
ajst-21777	266	19	j.	j.	PROPN
ajst-21777	266	20	,	,	PUNCT
ajst-21777	266	21	wang	wang	PROPN
ajst-21777	266	22	,	,	PUNCT
ajst-21777	266	23	l.	l.	PROPN
ajst-21777	266	24	,	,	PUNCT
ajst-21777	266	25	&	&	CCONJ
ajst-21777	266	26	yu	yu	PROPN
ajst-21777	266	27	,	,	PUNCT
ajst-21777	266	28	y.	y.	PROPN
ajst-21777	266	29	j.	j.	PROPN
ajst-21777	266	30	m.	m.	PROPN
ajst-21777	266	31	i.	i.	PROPN
ajst-21777	266	32	a.	a.	PROPN
ajst-21777	266	33	(	(	PUNCT
ajst-21777	266	34	2022	2022	NUM
ajst-21777	266	35	)	)	PUNCT
ajst-21777	266	36	.	.	PUNCT
ajst-21777	267	1	mass	mass	ADJ
ajst-21777	267	2	:	:	PUNCT
ajst-21777	267	3	modality	modality	NOUN
ajst-21777	267	4	-	-	PUNCT
ajst-21777	267	5	collaborative	collaborative	ADJ
ajst-21777	267	6	semisupervised	semisupervise	VERB
ajst-21777	267	7	segmentation	segmentation	NOUN
ajst-21777	267	8	by	by	ADP
ajst-21777	267	9	exploiting	exploit	VERB
ajst-21777	267	10	cross	cross	ADJ
ajst-21777	267	11	-	-	ADJ
ajst-21777	267	12	modal	modal	ADJ
ajst-21777	267	13	consistency	consistency	NOUN
ajst-21777	267	14	from	from	ADP
ajst-21777	267	15	unpaired	unpaired	ADJ
ajst-21777	267	16	ct	ct	PROPN
ajst-21777	267	17	and	and	CCONJ
ajst-21777	267	18	mri	mri	NOUN
ajst-21777	267	19	images	image	NOUN
ajst-21777	267	20	.	.	PUNCT
ajst-21777	268	1	80	80	NUM
ajst-21777	268	2	,	,	PUNCT
ajst-21777	268	3	102506	102506	NUM
ajst-21777	268	4	.	.	PUNCT
ajst-21777	269	1	[	[	X
ajst-21777	269	2	40	40	NUM
ajst-21777	269	3	]	]	SYM
ajst-21777	269	4	xinrong	xinrong	PROPN
ajst-21777	269	5	,	,	PUNCT
ajst-21777	269	6	h.	h.	PROPN
ajst-21777	269	7	,	,	PUNCT
ajst-21777	269	8	zeng	zeng	PROPN
ajst-21777	269	9	,	,	PUNCT
ajst-21777	269	10	d.	d.	PROPN
ajst-21777	269	11	,	,	PUNCT
ajst-21777	269	12	xu	xu	PROPN
ajst-21777	269	13	,	,	PUNCT
ajst-21777	269	14	x.	x.	PROPN
ajst-21777	269	15	,	,	PUNCT
ajst-21777	269	16	&	&	CCONJ
ajst-21777	269	17	shi	shi	PROPN
ajst-21777	269	18	,	,	PUNCT
ajst-21777	269	19	y.	y.	PROPN
ajst-21777	269	20	(	(	PUNCT
ajst-21777	269	21	2021	2021	NUM
ajst-21777	269	22	)	)	PUNCT
ajst-21777	269	23	.	.	PUNCT
ajst-21777	269	24	semisupervised	semisupervise	VERB
ajst-21777	269	25	contrastive	contrastive	ADJ
ajst-21777	269	26	learning	learning	NOUN
ajst-21777	269	27	for	for	ADP
ajst-21777	269	28	label	label	NOUN
ajst-21777	269	29	-	-	PUNCT
ajst-21777	269	30	efficient	efficient	ADJ
ajst-21777	269	31	medical	medical	ADJ
ajst-21777	269	32	image	image	NOUN
ajst-21777	269	33	segmentation	segmentation	NOUN
ajst-21777	269	34	.	.	PUNCT
ajst-21777	270	1	paper	paper	NOUN
ajst-21777	270	2	presented	present	VERB
ajst-21777	270	3	at	at	ADP
ajst-21777	270	4	the	the	DET
ajst-21777	270	5	medical	medical	ADJ
ajst-21777	270	6	image	image	NOUN
ajst-21777	270	7	computing	computing	NOUN
ajst-21777	270	8	and	and	CCONJ
ajst-21777	270	9	computer	computer	NOUN
ajst-21777	270	10	assisted	assist	VERB
ajst-21777	270	11	intervention	intervention	NOUN
ajst-21777	270	12	–	–	PUNCT
ajst-21777	270	13	miccai	miccai	NOUN
ajst-21777	270	14	2021	2021	NUM
ajst-21777	270	15	:	:	PUNCT
ajst-21777	270	16	24th	24th	ADJ
ajst-21777	270	17	international	international	ADJ
ajst-21777	270	18	conference	conference	NOUN
ajst-21777	270	19	,	,	PUNCT
ajst-21777	270	20	strasbourg	strasbourg	NOUN
ajst-21777	270	21	,	,	PUNCT
ajst-21777	270	22	france	france	PROPN
ajst-21777	270	23	,	,	PUNCT
ajst-21777	270	24	september	september	PROPN
ajst-21777	270	25	27	27	NUM
ajst-21777	270	26	–	–	PUNCT
ajst-21777	270	27	october	october	PROPN
ajst-21777	270	28	1	1	NUM
ajst-21777	270	29	,	,	PUNCT
ajst-21777	270	30	2021	2021	NUM
ajst-21777	270	31	,	,	PUNCT
ajst-21777	270	32	proceedings	proceeding	NOUN
ajst-21777	270	33	,	,	PUNCT
ajst-21777	270	34	part	part	NOUN
ajst-21777	270	35	ii	ii	PROPN
ajst-21777	270	36	24	24	NUM
ajst-21777	270	37	.	.	PUNCT
ajst-21777	271	1	[	[	X
ajst-21777	271	2	41	41	NUM
ajst-21777	271	3	]	]	PUNCT
ajst-21777	271	4	xu	xu	PROPN
ajst-21777	271	5	,	,	PUNCT
ajst-21777	271	6	x.	x.	PROPN
ajst-21777	271	7	,	,	PUNCT
ajst-21777	271	8	sanford	sanford	PROPN
ajst-21777	271	9	,	,	PUNCT
ajst-21777	271	10	t.	t.	PROPN
ajst-21777	271	11	,	,	PUNCT
ajst-21777	271	12	turkbey	turkbey	PROPN
ajst-21777	271	13	,	,	PUNCT
ajst-21777	271	14	b.	b.	PROPN
ajst-21777	271	15	,	,	PUNCT
ajst-21777	271	16	xu	xu	PROPN
ajst-21777	271	17	,	,	PUNCT
ajst-21777	271	18	s.	s.	PROPN
ajst-21777	271	19	,	,	PUNCT
ajst-21777	271	20	wood	wood	PROPN
ajst-21777	271	21	,	,	PUNCT
ajst-21777	271	22	b.	b.	PROPN
ajst-21777	271	23	j.	j.	PROPN
ajst-21777	271	24	,	,	PUNCT
ajst-21777	271	25	&	&	CCONJ
ajst-21777	271	26	yan	yan	PROPN
ajst-21777	271	27	,	,	PUNCT
ajst-21777	271	28	p.	p.	PROPN
ajst-21777	271	29	j.	j.	PROPN
ajst-21777	271	30	i.	i.	PROPN
ajst-21777	271	31	t.	t.	PROPN
ajst-21777	271	32	o.	o.	PROPN
ajst-21777	271	33	m.	m.	PROPN
ajst-21777	271	34	i.	i.	PROPN
ajst-21777	271	35	(	(	PUNCT
ajst-21777	271	36	2021	2021	NUM
ajst-21777	271	37	)	)	PUNCT
ajst-21777	271	38	.	.	PUNCT
ajst-21777	272	1	shadow	shadow	NOUN
ajst-21777	272	2	-	-	PUNCT
ajst-21777	272	3	consistent	consistent	ADJ
ajst-21777	272	4	semi	semi	ADJ
ajst-21777	272	5	-	-	ADJ
ajst-21777	272	6	supervised	supervised	ADJ
ajst-21777	272	7	learning	learning	NOUN
ajst-21777	272	8	for	for	ADP
ajst-21777	272	9	prostate	prostate	NOUN
ajst-21777	272	10	ultrasound	ultrasound	NOUN
ajst-21777	272	11	segmentation	segmentation	NOUN
ajst-21777	272	12	.	.	PUNCT
ajst-21777	273	1	41(6	41(6	NOUN
ajst-21777	273	2	)	)	PUNCT
ajst-21777	273	3	,	,	PUNCT
ajst-21777	273	4	13311345	13311345	NUM
ajst-21777	273	5	.	.	PUNCT
ajst-21777	274	1	[	[	X
ajst-21777	274	2	42	42	NUM
ajst-21777	274	3	]	]	SYM
ajst-21777	274	4	yang	yang	PROPN
ajst-21777	274	5	,	,	PUNCT
ajst-21777	274	6	j.	j.	PROPN
ajst-21777	274	7	,	,	PUNCT
ajst-21777	274	8	tao	tao	PROPN
ajst-21777	274	9	,	,	PUNCT
ajst-21777	274	10	y.	y.	PROPN
ajst-21777	274	11	,	,	PUNCT
ajst-21777	274	12	xu	xu	PROPN
ajst-21777	274	13	,	,	PUNCT
ajst-21777	274	14	q.	q.	PROPN
ajst-21777	274	15	,	,	PUNCT
ajst-21777	274	16	zhang	zhang	PROPN
ajst-21777	274	17	,	,	PUNCT
ajst-21777	274	18	y.	y.	PROPN
ajst-21777	274	19	,	,	PUNCT
ajst-21777	274	20	ma	ma	PROPN
ajst-21777	274	21	,	,	PUNCT
ajst-21777	274	22	x.	x.	NOUN
ajst-21777	274	23	,	,	PUNCT
ajst-21777	274	24	yuan	yuan	PROPN
ajst-21777	274	25	,	,	PUNCT
ajst-21777	274	26	s.	s.	PROPN
ajst-21777	274	27	,	,	PUNCT
ajst-21777	274	28	.	.	PUNCT
ajst-21777	274	29	.	.	PUNCT
ajst-21777	274	30	.	.	PUNCT
ajst-21777	275	1	informatics	informatics	PROPN
ajst-21777	275	2	,	,	PUNCT
ajst-21777	275	3	h.	h.	PROPN
ajst-21777	275	4	(	(	PUNCT
ajst-21777	275	5	2022	2022	NUM
ajst-21777	275	6	)	)	PUNCT
ajst-21777	275	7	.	.	PUNCT
ajst-21777	276	1	self	self	NOUN
ajst-21777	276	2	-	-	PUNCT
ajst-21777	276	3	supervised	supervise	VERB
ajst-21777	276	4	sequence	sequence	NOUN
ajst-21777	276	5	recovery	recovery	NOUN
ajst-21777	276	6	for	for	ADP
ajst-21777	276	7	semi	semi	ADJ
ajst-21777	276	8	-	-	ADJ
ajst-21777	276	9	supervised	supervised	ADJ
ajst-21777	276	10	retinal	retinal	ADJ
ajst-21777	276	11	layer	layer	NOUN
ajst-21777	276	12	segmentation	segmentation	NOUN
ajst-21777	276	13	.	.	PUNCT
ajst-21777	277	1	26(8	26(8	NOUN
ajst-21777	277	2	)	)	PUNCT
ajst-21777	277	3	,	,	PUNCT
ajst-21777	277	4	3872	3872	NUM
ajst-21777	277	5	-	-	SYM
ajst-21777	277	6	3883	3883	NUM
ajst-21777	277	7	.	.	PUNCT
ajst-21777	278	1	[	[	X
ajst-21777	278	2	43	43	NUM
ajst-21777	278	3	]	]	X
ajst-21777	278	4	zhang	zhang	PROPN
ajst-21777	278	5	,	,	PUNCT
ajst-21777	278	6	s.	s.	PROPN
ajst-21777	278	7	,	,	PUNCT
ajst-21777	278	8	zhang	zhang	PROPN
ajst-21777	278	9	,	,	PUNCT
ajst-21777	278	10	j.	j.	PROPN
ajst-21777	278	11	,	,	PUNCT
ajst-21777	278	12	tian	tian	PROPN
ajst-21777	278	13	,	,	PUNCT
ajst-21777	278	14	b.	b.	PROPN
ajst-21777	278	15	,	,	PUNCT
ajst-21777	278	16	lukasiewicz	lukasiewicz	ADJ
ajst-21777	278	17	,	,	PUNCT
ajst-21777	278	18	t.	t.	PROPN
ajst-21777	278	19	,	,	PUNCT
ajst-21777	278	20	&	&	CCONJ
ajst-21777	278	21	xu	xu	PROPN
ajst-21777	278	22	,	,	PUNCT
ajst-21777	278	23	z.	z.	PROPN
ajst-21777	278	24	j.	j.	PROPN
ajst-21777	278	25	m.	m.	PROPN
ajst-21777	278	26	i.	i.	PROPN
ajst-21777	278	27	a.	a.	PROPN
ajst-21777	278	28	(	(	PUNCT
ajst-21777	278	29	2023	2023	NUM
ajst-21777	278	30	)	)	PUNCT
ajst-21777	278	31	.	.	PUNCT
ajst-21777	279	1	multi	multi	ADJ
ajst-21777	279	2	-	-	ADJ
ajst-21777	279	3	modal	modal	ADJ
ajst-21777	279	4	contrastive	contrastive	ADJ
ajst-21777	279	5	mutual	mutual	ADJ
ajst-21777	279	6	learning	learning	NOUN
ajst-21777	279	7	and	and	CCONJ
ajst-21777	279	8	pseudo	pseudo	NOUN
ajst-21777	279	9	-	-	NOUN
ajst-21777	279	10	label	label	NOUN
ajst-21777	279	11	re	re	NOUN
ajst-21777	279	12	-	-	NOUN
ajst-21777	279	13	learning	learn	VERB
ajst-21777	279	14	for	for	ADP
ajst-21777	279	15	semi	semi	ADJ
ajst-21777	279	16	-	-	ADJ
ajst-21777	279	17	supervised	supervised	ADJ
ajst-21777	279	18	medical	medical	ADJ
ajst-21777	279	19	image	image	NOUN
ajst-21777	279	20	segmentation	segmentation	NOUN
ajst-21777	279	21	.	.	PUNCT
ajst-21777	280	1	83	83	NUM
ajst-21777	280	2	,	,	PUNCT
ajst-21777	280	3	102656	102656	NUM
ajst-21777	280	4	.	.	PUNCT
ajst-21777	281	1	[	[	X
ajst-21777	281	2	44	44	NUM
ajst-21777	281	3	]	]	X
ajst-21777	281	4	zheng	zheng	PROPN
ajst-21777	281	5	,	,	PUNCT
ajst-21777	281	6	h.	h.	PROPN
ajst-21777	281	7	,	,	PUNCT
ajst-21777	281	8	lin	lin	PROPN
ajst-21777	281	9	,	,	PUNCT
ajst-21777	281	10	l.	l.	PROPN
ajst-21777	281	11	,	,	PUNCT
ajst-21777	281	12	hu	hu	PROPN
ajst-21777	281	13	,	,	PUNCT
ajst-21777	281	14	h.	h.	PROPN
ajst-21777	281	15	,	,	PUNCT
ajst-21777	281	16	zhang	zhang	PROPN
ajst-21777	281	17	,	,	PUNCT
ajst-21777	281	18	q.	q.	PROPN
ajst-21777	281	19	,	,	PUNCT
ajst-21777	281	20	chen	chen	PROPN
ajst-21777	281	21	,	,	PUNCT
ajst-21777	281	22	q.	q.	PROPN
ajst-21777	281	23	,	,	PUNCT
ajst-21777	281	24	iwamoto	iwamoto	ADJ
ajst-21777	281	25	,	,	PUNCT
ajst-21777	281	26	y.	y.	PROPN
ajst-21777	281	27	,	,	PUNCT
ajst-21777	281	28	.	.	PUNCT
ajst-21777	281	29	.	.	PUNCT
ajst-21777	281	30	.	.	PUNCT
ajst-21777	282	1	wu	wu	PROPN
ajst-21777	282	2	,	,	PUNCT
ajst-21777	282	3	j.	j.	PROPN
ajst-21777	282	4	(	(	PUNCT
ajst-21777	282	5	2019	2019	NUM
ajst-21777	282	6	)	)	PUNCT
ajst-21777	282	7	.	.	PUNCT
ajst-21777	283	1	semi	semi	ADJ
ajst-21777	283	2	-	-	ADJ
ajst-21777	283	3	supervised	supervised	ADJ
ajst-21777	283	4	segmentation	segmentation	NOUN
ajst-21777	283	5	of	of	ADP
ajst-21777	283	6	liver	liver	NOUN
ajst-21777	283	7	using	use	VERB
ajst-21777	283	8	adversarial	adversarial	ADJ
ajst-21777	283	9	learning	learning	NOUN
ajst-21777	283	10	with	with	ADP
ajst-21777	283	11	deep	deep	ADJ
ajst-21777	283	12	atlas	atlas	PROPN
ajst-21777	283	13	prior	prior	NOUN
ajst-21777	283	14	.	.	PUNCT
ajst-21777	284	1	paper	paper	NOUN
ajst-21777	284	2	presented	present	VERB
ajst-21777	284	3	at	at	ADP
ajst-21777	284	4	the	the	DET
ajst-21777	284	5	medical	medical	ADJ
ajst-21777	284	6	image	image	NOUN
ajst-21777	284	7	computing	computing	NOUN
ajst-21777	284	8	and	and	CCONJ
ajst-21777	284	9	computer	computer	NOUN
ajst-21777	284	10	assisted	assist	VERB
ajst-21777	284	11	intervention	intervention	NOUN
ajst-21777	284	12	–	–	PUNCT
ajst-21777	284	13	miccai	miccai	NOUN
ajst-21777	284	14	2019	2019	NUM
ajst-21777	284	15	:	:	PUNCT
ajst-21777	284	16	22nd	22nd	ADJ
ajst-21777	284	17	international	international	ADJ
ajst-21777	284	18	154	154	NUM
ajst-21777	284	19	conference	conference	NOUN
ajst-21777	284	20	,	,	PUNCT
ajst-21777	284	21	shenzhen	shenzhen	PROPN
ajst-21777	284	22	,	,	PUNCT
ajst-21777	284	23	china	china	PROPN
ajst-21777	284	24	,	,	PUNCT
ajst-21777	284	25	october	october	PROPN
ajst-21777	284	26	13–17	13–17	NUM
ajst-21777	284	27	,	,	PUNCT
ajst-21777	284	28	2019	2019	NUM
ajst-21777	284	29	,	,	PUNCT
ajst-21777	284	30	proceedings	proceeding	NOUN
ajst-21777	284	31	,	,	PUNCT
ajst-21777	284	32	part	part	NOUN
ajst-21777	284	33	vi	vi	NOUN
ajst-21777	284	34	22	22	NUM
ajst-21777	284	35	.	.	PUNCT
ajst-21777	285	1	[	[	X
ajst-21777	285	2	45	45	NUM
ajst-21777	285	3	]	]	X
ajst-21777	285	4	zhou	zhou	PROPN
ajst-21777	285	5	,	,	PUNCT
ajst-21777	285	6	z.	z.	PROPN
ajst-21777	285	7	,	,	PUNCT
ajst-21777	285	8	rahman	rahman	PROPN
ajst-21777	285	9	siddiquee	siddiquee	PROPN
ajst-21777	285	10	,	,	PUNCT
ajst-21777	285	11	m.	m.	NOUN
ajst-21777	285	12	m.	m.	NOUN
ajst-21777	285	13	,	,	PUNCT
ajst-21777	285	14	tajbakhsh	tajbakhsh	PROPN
ajst-21777	285	15	,	,	PUNCT
ajst-21777	285	16	n.	n.	NOUN
ajst-21777	285	17	,	,	PUNCT
ajst-21777	285	18	&	&	CCONJ
ajst-21777	285	19	liang	liang	PROPN
ajst-21777	285	20	,	,	PUNCT
ajst-21777	285	21	j.	j.	PROPN
ajst-21777	285	22	(	(	PUNCT
ajst-21777	285	23	2018	2018	NUM
ajst-21777	285	24	)	)	PUNCT
ajst-21777	285	25	.	.	PUNCT
ajst-21777	286	1	unet++	unet++	ADJ
ajst-21777	286	2	:	:	PUNCT
ajst-21777	286	3	a	a	DET
ajst-21777	286	4	nested	nested	ADJ
ajst-21777	286	5	u	u	ADJ
ajst-21777	286	6	-	-	ADJ
ajst-21777	286	7	net	net	ADJ
ajst-21777	286	8	architecture	architecture	NOUN
ajst-21777	286	9	for	for	ADP
ajst-21777	286	10	medical	medical	ADJ
ajst-21777	286	11	image	image	NOUN
ajst-21777	286	12	segmentation	segmentation	NOUN
ajst-21777	286	13	.	.	PUNCT
ajst-21777	287	1	paper	paper	NOUN
ajst-21777	287	2	presented	present	VERB
ajst-21777	287	3	at	at	ADP
ajst-21777	287	4	the	the	DET
ajst-21777	287	5	deep	deep	ADJ
ajst-21777	287	6	learning	learning	NOUN
ajst-21777	287	7	in	in	ADP
ajst-21777	287	8	medical	medical	ADJ
ajst-21777	287	9	image	image	NOUN
ajst-21777	287	10	analysis	analysis	NOUN
ajst-21777	287	11	and	and	CCONJ
ajst-21777	287	12	multimodal	multimodal	NOUN
ajst-21777	287	13	learning	learning	NOUN
ajst-21777	287	14	for	for	ADP
ajst-21777	287	15	clinical	clinical	ADJ
ajst-21777	287	16	decision	decision	NOUN
ajst-21777	287	17	support	support	NOUN
ajst-21777	287	18	:	:	PUNCT
ajst-21777	287	19	4th	4th	ADJ
ajst-21777	287	20	international	international	ADJ
ajst-21777	287	21	workshop	workshop	NOUN
ajst-21777	287	22	,	,	PUNCT
ajst-21777	287	23	dlmia	dlmia	PROPN
ajst-21777	287	24	2018	2018	NUM
ajst-21777	287	25	,	,	PUNCT
ajst-21777	287	26	and	and	CCONJ
ajst-21777	287	27	8th	8th	ADJ
ajst-21777	287	28	international	international	ADJ
ajst-21777	287	29	workshop	workshop	NOUN
ajst-21777	287	30	,	,	PUNCT
ajst-21777	287	31	ml	ml	NOUN
ajst-21777	287	32	-	-	PUNCT
ajst-21777	287	33	cds	cd	NOUN
ajst-21777	287	34	2018	2018	NUM
ajst-21777	287	35	,	,	PUNCT
ajst-21777	287	36	held	hold	VERB
ajst-21777	287	37	in	in	ADP
ajst-21777	287	38	conjunction	conjunction	NOUN
ajst-21777	287	39	with	with	ADP
ajst-21777	287	40	miccai	miccai	PROPN
ajst-21777	287	41	2018	2018	NUM
ajst-21777	287	42	,	,	PUNCT
ajst-21777	287	43	granada	granada	PROPN
ajst-21777	287	44	,	,	PUNCT
ajst-21777	287	45	spain	spain	PROPN
ajst-21777	287	46	,	,	PUNCT
ajst-21777	287	47	september	september	PROPN
ajst-21777	287	48	20	20	NUM
ajst-21777	287	49	,	,	PUNCT
ajst-21777	287	50	2018	2018	NUM
ajst-21777	287	51	,	,	PUNCT
ajst-21777	287	52	proceedings	proceeding	NOUN
ajst-21777	287	53	4	4	NUM
ajst-21777	287	54	.	.	PUNCT