id	sid	tid	token	lemma	pos
ajst-20172	1	1	academic	academic	ADJ
ajst-20172	1	2	journal	journal	NOUN
ajst-20172	1	3	of	of	ADP
ajst-20172	1	4	science	science	NOUN
ajst-20172	1	5	and	and	CCONJ
ajst-20172	1	6	technology	technology	NOUN
ajst-20172	1	7	issn	issn	NOUN
ajst-20172	1	8	:	:	PUNCT
ajst-20172	1	9	2771	2771	NUM
ajst-20172	1	10	-	-	SYM
ajst-20172	1	11	3032	3032	NUM
ajst-20172	1	12	|	|	NOUN
ajst-20172	1	13	vol	vol	NOUN
ajst-20172	1	14	.	.	PROPN
ajst-20172	2	1	10	10	NUM
ajst-20172	2	2	,	,	PUNCT
ajst-20172	2	3	no	no	INTJ
ajst-20172	2	4	.	.	NOUN
ajst-20172	2	5	2	2	NUM
ajst-20172	2	6	,	,	PUNCT
ajst-20172	2	7	2024	2024	NUM
ajst-20172	2	8	8	8	NUM
ajst-20172	2	9	research	research	NOUN
ajst-20172	2	10	on	on	ADP
ajst-20172	2	11	the	the	DET
ajst-20172	2	12	application	application	NOUN
ajst-20172	2	13	of	of	ADP
ajst-20172	2	14	deep	deep	ADJ
ajst-20172	2	15	learning	learning	NOUN
ajst-20172	2	16	in	in	ADP
ajst-20172	2	17	medical	medical	ADJ
ajst-20172	2	18	image	image	NOUN
ajst-20172	2	19	segmentation	segmentation	NOUN
ajst-20172	2	20	and	and	CCONJ
ajst-20172	2	21	3d	3d	NUM
ajst-20172	2	22	reconstruction	reconstruction	PROPN
ajst-20172	2	23	yun	yun	PROPN
ajst-20172	2	24	zi1	zi1	PROPN
ajst-20172	2	25	,	,	PUNCT
ajst-20172	2	26	qi	qi	PROPN
ajst-20172	2	27	wang2	wang2	PROPN
ajst-20172	2	28	,	,	PUNCT
ajst-20172	2	29	zijun	zijun	PROPN
ajst-20172	2	30	gao3	gao3	PROPN
ajst-20172	2	31	,	,	PUNCT
ajst-20172	2	32	xiaohan	xiaohan	PROPN
ajst-20172	2	33	cheng4	cheng4	PROPN
ajst-20172	2	34	,	,	PUNCT
ajst-20172	2	35	taiyuan	taiyuan	PROPN
ajst-20172	2	36	mei5	mei5	PROPN
ajst-20172	2	37	1illinois	1illinois	PROPN
ajst-20172	2	38	institute	institute	PROPN
ajst-20172	2	39	of	of	ADP
ajst-20172	2	40	technology	technology	PROPN
ajst-20172	2	41	,	,	PUNCT
ajst-20172	2	42	chicago	chicago	PROPN
ajst-20172	2	43	,	,	PUNCT
ajst-20172	2	44	usa	usa	PROPN
ajst-20172	2	45	2northeastern	2northeastern	PROPN
ajst-20172	2	46	university	university	PROPN
ajst-20172	2	47	,	,	PUNCT
ajst-20172	2	48	boston	boston	PROPN
ajst-20172	2	49	,	,	PUNCT
ajst-20172	2	50	usa	usa	PROPN
ajst-20172	2	51	3northeastern	3northeastern	PROPN
ajst-20172	2	52	university	university	PROPN
ajst-20172	2	53	,	,	PUNCT
ajst-20172	2	54	boston	boston	PROPN
ajst-20172	2	55	,	,	PUNCT
ajst-20172	2	56	usa	usa	PROPN
ajst-20172	2	57	4northeastern	4northeastern	NUM
ajst-20172	2	58	university	university	PROPN
ajst-20172	2	59	,	,	PUNCT
ajst-20172	2	60	boston	boston	PROPN
ajst-20172	2	61	,	,	PUNCT
ajst-20172	2	62	usa	usa	PROPN
ajst-20172	2	63	5northeastern	5northeastern	PROPN
ajst-20172	2	64	university	university	PROPN
ajst-20172	2	65	,	,	PUNCT
ajst-20172	2	66	boston	boston	PROPN
ajst-20172	2	67	,	,	PUNCT
ajst-20172	2	68	usa	usa	PROPN
ajst-20172	2	69	abstract	abstract	PROPN
ajst-20172	2	70	:	:	PUNCT
ajst-20172	2	71	medical	medical	ADJ
ajst-20172	2	72	image	image	NOUN
ajst-20172	2	73	segmentation	segmentation	NOUN
ajst-20172	2	74	(	(	PUNCT
ajst-20172	2	75	mis	mis	NOUN
ajst-20172	2	76	)	)	PUNCT
ajst-20172	2	77	and	and	CCONJ
ajst-20172	2	78	3d	3d	NUM
ajst-20172	2	79	reconstruction	reconstruction	NOUN
ajst-20172	2	80	are	be	AUX
ajst-20172	2	81	crucial	crucial	ADJ
ajst-20172	2	82	research	research	NOUN
ajst-20172	2	83	directions	direction	NOUN
ajst-20172	2	84	in	in	ADP
ajst-20172	2	85	the	the	DET
ajst-20172	2	86	field	field	NOUN
ajst-20172	2	87	of	of	ADP
ajst-20172	2	88	medical	medical	ADJ
ajst-20172	2	89	imaging	imaging	NOUN
ajst-20172	2	90	,	,	PUNCT
ajst-20172	2	91	which	which	PRON
ajst-20172	2	92	is	be	AUX
ajst-20172	2	93	of	of	ADP
ajst-20172	2	94	great	great	ADJ
ajst-20172	2	95	significance	significance	NOUN
ajst-20172	2	96	for	for	ADP
ajst-20172	2	97	disease	disease	NOUN
ajst-20172	2	98	diagnosis	diagnosis	NOUN
ajst-20172	2	99	,	,	PUNCT
ajst-20172	2	100	treatment	treatment	NOUN
ajst-20172	2	101	planning	planning	NOUN
ajst-20172	2	102	and	and	CCONJ
ajst-20172	2	103	surgical	surgical	ADJ
ajst-20172	2	104	navigation	navigation	NOUN
ajst-20172	2	105	.	.	PUNCT
ajst-20172	3	1	in	in	ADP
ajst-20172	3	2	recent	recent	ADJ
ajst-20172	3	3	years	year	NOUN
ajst-20172	3	4	,	,	PUNCT
ajst-20172	3	5	with	with	ADP
ajst-20172	3	6	the	the	DET
ajst-20172	3	7	rapid	rapid	ADJ
ajst-20172	3	8	development	development	NOUN
ajst-20172	3	9	of	of	ADP
ajst-20172	3	10	deep	deep	ADJ
ajst-20172	3	11	learning	learning	NOUN
ajst-20172	3	12	(	(	PUNCT
ajst-20172	3	13	dl	dl	NOUN
ajst-20172	3	14	)	)	PUNCT
ajst-20172	3	15	technology	technology	NOUN
ajst-20172	3	16	,	,	PUNCT
ajst-20172	3	17	dl	dl	PROPN
ajst-20172	3	18	has	have	AUX
ajst-20172	3	19	made	make	VERB
ajst-20172	3	20	remarkable	remarkable	ADJ
ajst-20172	3	21	progress	progress	NOUN
ajst-20172	3	22	in	in	ADP
ajst-20172	3	23	the	the	DET
ajst-20172	3	24	field	field	NOUN
ajst-20172	3	25	of	of	ADP
ajst-20172	3	26	medical	medical	ADJ
ajst-20172	3	27	image	image	NOUN
ajst-20172	3	28	processing	processing	NOUN
ajst-20172	3	29	and	and	CCONJ
ajst-20172	3	30	has	have	AUX
ajst-20172	3	31	become	become	VERB
ajst-20172	3	32	one	one	NUM
ajst-20172	3	33	of	of	ADP
ajst-20172	3	34	the	the	DET
ajst-20172	3	35	important	important	ADJ
ajst-20172	3	36	methods	method	NOUN
ajst-20172	3	37	of	of	ADP
ajst-20172	3	38	mis	mis	PROPN
ajst-20172	3	39	and	and	CCONJ
ajst-20172	3	40	3d	3d	PROPN
ajst-20172	3	41	reconstruction	reconstruction	NOUN
ajst-20172	3	42	.	.	PUNCT
ajst-20172	4	1	in	in	ADP
ajst-20172	4	2	this	this	DET
ajst-20172	4	3	paper	paper	NOUN
ajst-20172	4	4	,	,	PUNCT
ajst-20172	4	5	the	the	DET
ajst-20172	4	6	application	application	NOUN
ajst-20172	4	7	of	of	ADP
ajst-20172	4	8	dl	dl	PROPN
ajst-20172	4	9	technologies	technology	NOUN
ajst-20172	4	10	in	in	ADP
ajst-20172	4	11	mis	mis	PROPN
ajst-20172	4	12	and	and	CCONJ
ajst-20172	4	13	3d	3d	PROPN
ajst-20172	4	14	reconstruction	reconstruction	NOUN
ajst-20172	4	15	is	be	AUX
ajst-20172	4	16	systematically	systematically	ADV
ajst-20172	4	17	studied	study	VERB
ajst-20172	4	18	and	and	CCONJ
ajst-20172	4	19	discussed	discuss	VERB
ajst-20172	4	20	.	.	PUNCT
ajst-20172	5	1	firstly	firstly	ADV
ajst-20172	5	2	,	,	PUNCT
ajst-20172	5	3	the	the	DET
ajst-20172	5	4	paper	paper	NOUN
ajst-20172	5	5	introduces	introduce	VERB
ajst-20172	5	6	the	the	DET
ajst-20172	5	7	basic	basic	ADJ
ajst-20172	5	8	concepts	concept	NOUN
ajst-20172	5	9	and	and	CCONJ
ajst-20172	5	10	technical	technical	ADJ
ajst-20172	5	11	challenges	challenge	NOUN
ajst-20172	5	12	of	of	ADP
ajst-20172	5	13	mis	mis	PROPN
ajst-20172	5	14	and	and	CCONJ
ajst-20172	5	15	3d	3d	PROPN
ajst-20172	5	16	reconstruction	reconstruction	NOUN
ajst-20172	5	17	,	,	PUNCT
ajst-20172	5	18	including	include	VERB
ajst-20172	5	19	image	image	NOUN
ajst-20172	5	20	quality	quality	NOUN
ajst-20172	5	21	,	,	PUNCT
ajst-20172	5	22	noise	noise	NOUN
ajst-20172	5	23	interference	interference	NOUN
ajst-20172	5	24	and	and	CCONJ
ajst-20172	5	25	edge	edge	NOUN
ajst-20172	5	26	detection	detection	NOUN
ajst-20172	5	27	.	.	PUNCT
ajst-20172	6	1	secondly	secondly	ADV
ajst-20172	6	2	,	,	PUNCT
ajst-20172	6	3	the	the	DET
ajst-20172	6	4	paper	paper	NOUN
ajst-20172	6	5	introduces	introduce	VERB
ajst-20172	6	6	the	the	DET
ajst-20172	6	7	data	data	NOUN
ajst-20172	6	8	acquisition	acquisition	NOUN
ajst-20172	6	9	process	process	NOUN
ajst-20172	6	10	in	in	ADP
ajst-20172	6	11	detail	detail	NOUN
ajst-20172	6	12	,	,	PUNCT
ajst-20172	6	13	including	include	VERB
ajst-20172	6	14	the	the	DET
ajst-20172	6	15	medical	medical	ADJ
ajst-20172	6	16	image	image	NOUN
ajst-20172	6	17	data	datum	NOUN
ajst-20172	6	18	set	set	VERB
ajst-20172	6	19	and	and	CCONJ
ajst-20172	6	20	data	datum	NOUN
ajst-20172	6	21	preprocessing	preprocessing	NOUN
ajst-20172	6	22	method	method	NOUN
ajst-20172	6	23	.	.	PUNCT
ajst-20172	7	1	then	then	ADV
ajst-20172	7	2	,	,	PUNCT
ajst-20172	7	3	the	the	DET
ajst-20172	7	4	paper	paper	NOUN
ajst-20172	7	5	puts	put	VERB
ajst-20172	7	6	forward	forward	ADV
ajst-20172	7	7	the	the	DET
ajst-20172	7	8	dl	dl	PROPN
ajst-20172	7	9	model	model	NOUN
ajst-20172	7	10	framework	framework	NOUN
ajst-20172	7	11	based	base	VERB
ajst-20172	7	12	on	on	ADP
ajst-20172	7	13	self	self	NOUN
ajst-20172	7	14	-	-	PUNCT
ajst-20172	7	15	attention	attention	NOUN
ajst-20172	7	16	mechanism	mechanism	NOUN
ajst-20172	7	17	,	,	PUNCT
ajst-20172	7	18	as	as	ADV
ajst-20172	7	19	well	well	ADV
ajst-20172	7	20	as	as	ADP
ajst-20172	7	21	the	the	DET
ajst-20172	7	22	loss	loss	NOUN
ajst-20172	7	23	function	function	NOUN
ajst-20172	7	24	and	and	CCONJ
ajst-20172	7	25	optimizer	optimizer	NOUN
ajst-20172	7	26	used	use	VERB
ajst-20172	7	27	in	in	ADP
ajst-20172	7	28	the	the	DET
ajst-20172	7	29	training	training	NOUN
ajst-20172	7	30	process	process	NOUN
ajst-20172	7	31	.	.	PUNCT
ajst-20172	8	1	then	then	ADV
ajst-20172	8	2	,	,	PUNCT
ajst-20172	8	3	the	the	DET
ajst-20172	8	4	model	model	NOUN
ajst-20172	8	5	is	be	AUX
ajst-20172	8	6	verified	verify	VERB
ajst-20172	8	7	by	by	ADP
ajst-20172	8	8	experiments	experiment	NOUN
ajst-20172	8	9	,	,	PUNCT
ajst-20172	8	10	and	and	CCONJ
ajst-20172	8	11	the	the	DET
ajst-20172	8	12	performance	performance	NOUN
ajst-20172	8	13	of	of	ADP
ajst-20172	8	14	different	different	ADJ
ajst-20172	8	15	models	model	NOUN
ajst-20172	8	16	in	in	ADP
ajst-20172	8	17	mis	mis	PROPN
ajst-20172	8	18	and	and	CCONJ
ajst-20172	8	19	3d	3d	PROPN
ajst-20172	8	20	reconstruction	reconstruction	NOUN
ajst-20172	8	21	is	be	AUX
ajst-20172	8	22	analyzed	analyze	VERB
ajst-20172	8	23	.	.	PUNCT
ajst-20172	9	1	finally	finally	ADV
ajst-20172	9	2	,	,	PUNCT
ajst-20172	9	3	the	the	DET
ajst-20172	9	4	experimental	experimental	ADJ
ajst-20172	9	5	results	result	NOUN
ajst-20172	9	6	are	be	AUX
ajst-20172	9	7	comprehensively	comprehensively	ADV
ajst-20172	9	8	analyzed	analyze	VERB
ajst-20172	9	9	,	,	PUNCT
ajst-20172	9	10	and	and	CCONJ
ajst-20172	9	11	the	the	DET
ajst-20172	9	12	application	application	NOUN
ajst-20172	9	13	prospect	prospect	NOUN
ajst-20172	9	14	and	and	CCONJ
ajst-20172	9	15	future	future	ADJ
ajst-20172	9	16	development	development	NOUN
ajst-20172	9	17	direction	direction	NOUN
ajst-20172	9	18	of	of	ADP
ajst-20172	9	19	dl	dl	PROPN
ajst-20172	9	20	in	in	ADP
ajst-20172	9	21	mis	mis	PROPN
ajst-20172	9	22	and	and	CCONJ
ajst-20172	9	23	3d	3d	PROPN
ajst-20172	9	24	reconstruction	reconstruction	NOUN
ajst-20172	9	25	are	be	AUX
ajst-20172	9	26	discussed	discuss	VERB
ajst-20172	9	27	.	.	PUNCT
ajst-20172	10	1	the	the	DET
ajst-20172	10	2	research	research	NOUN
ajst-20172	10	3	results	result	NOUN
ajst-20172	10	4	of	of	ADP
ajst-20172	10	5	this	this	DET
ajst-20172	10	6	paper	paper	NOUN
ajst-20172	10	7	provide	provide	VERB
ajst-20172	10	8	important	important	ADJ
ajst-20172	10	9	theoretical	theoretical	ADJ
ajst-20172	10	10	and	and	CCONJ
ajst-20172	10	11	practical	practical	ADJ
ajst-20172	10	12	guidance	guidance	NOUN
ajst-20172	10	13	for	for	ADP
ajst-20172	10	14	improving	improve	VERB
ajst-20172	10	15	medical	medical	ADJ
ajst-20172	10	16	image	image	NOUN
ajst-20172	10	17	processing	processing	NOUN
ajst-20172	10	18	technology	technology	NOUN
ajst-20172	10	19	and	and	CCONJ
ajst-20172	10	20	promoting	promote	VERB
ajst-20172	10	21	the	the	DET
ajst-20172	10	22	development	development	NOUN
ajst-20172	10	23	and	and	CCONJ
ajst-20172	10	24	clinical	clinical	ADJ
ajst-20172	10	25	application	application	NOUN
ajst-20172	10	26	of	of	ADP
ajst-20172	10	27	medical	medical	ADJ
ajst-20172	10	28	imaging	imaging	NOUN
ajst-20172	10	29	.	.	PUNCT
ajst-20172	11	1	keywords	keyword	NOUN
ajst-20172	11	2	:	:	PUNCT
ajst-20172	11	3	3d	3d	NUM
ajst-20172	11	4	reconstruction	reconstruction	NOUN
ajst-20172	11	5	;	;	PUNCT
ajst-20172	11	6	deep	deep	ADJ
ajst-20172	11	7	learning	learning	NOUN
ajst-20172	11	8	;	;	PUNCT
ajst-20172	11	9	medical	medical	ADJ
ajst-20172	11	10	image	image	NOUN
ajst-20172	11	11	segmentation	segmentation	NOUN
ajst-20172	11	12	;	;	PUNCT
ajst-20172	11	13	self	self	NOUN
ajst-20172	11	14	-	-	PUNCT
ajst-20172	11	15	attention	attention	NOUN
ajst-20172	11	16	mechanism	mechanism	NOUN
ajst-20172	11	17	.	.	PUNCT
ajst-20172	12	1	1	1	X
ajst-20172	12	2	.	.	X
ajst-20172	12	3	introduction	introduction	NOUN
ajst-20172	12	4	medical	medical	ADJ
ajst-20172	12	5	image	image	NOUN
ajst-20172	12	6	segmentation	segmentation	NOUN
ajst-20172	12	7	(	(	PUNCT
ajst-20172	12	8	mis	mis	NOUN
ajst-20172	12	9	)	)	PUNCT
ajst-20172	12	10	and	and	CCONJ
ajst-20172	12	11	3d	3d	NUM
ajst-20172	12	12	reconstruction	reconstruction	NOUN
ajst-20172	12	13	are	be	AUX
ajst-20172	12	14	indispensable	indispensable	ADJ
ajst-20172	12	15	in	in	ADP
ajst-20172	12	16	medical	medical	ADJ
ajst-20172	12	17	imaging	imaging	NOUN
ajst-20172	12	18	,	,	PUNCT
ajst-20172	12	19	offering	offer	VERB
ajst-20172	12	20	clinicians	clinician	NOUN
ajst-20172	12	21	the	the	DET
ajst-20172	12	22	foundation	foundation	NOUN
ajst-20172	12	23	for	for	ADP
ajst-20172	12	24	profound	profound	ADJ
ajst-20172	12	25	comprehension	comprehension	NOUN
ajst-20172	12	26	and	and	CCONJ
ajst-20172	12	27	precise	precise	ADJ
ajst-20172	12	28	diagnosis	diagnosis	NOUN
ajst-20172	12	29	of	of	ADP
ajst-20172	12	30	patients	patient	NOUN
ajst-20172	12	31	'	'	PART
ajst-20172	12	32	conditions	condition	NOUN
ajst-20172	12	33	.	.	PUNCT
ajst-20172	13	1	yet	yet	ADV
ajst-20172	13	2	,	,	PUNCT
ajst-20172	13	3	conventional	conventional	ADJ
ajst-20172	13	4	image	image	NOUN
ajst-20172	13	5	processing	processing	NOUN
ajst-20172	13	6	techniques	technique	NOUN
ajst-20172	13	7	encounter	encounter	VERB
ajst-20172	13	8	numerous	numerous	ADJ
ajst-20172	13	9	hurdles	hurdle	NOUN
ajst-20172	13	10	in	in	ADP
ajst-20172	13	11	extracting	extract	VERB
ajst-20172	13	12	crucial	crucial	ADJ
ajst-20172	13	13	data	datum	NOUN
ajst-20172	13	14	and	and	CCONJ
ajst-20172	13	15	achieving	achieve	VERB
ajst-20172	13	16	precise	precise	ADJ
ajst-20172	13	17	segmentation	segmentation	NOUN
ajst-20172	13	18	,	,	PUNCT
ajst-20172	13	19	owing	owe	VERB
ajst-20172	13	20	to	to	ADP
ajst-20172	13	21	the	the	DET
ajst-20172	13	22	intricacy	intricacy	ADJ
ajst-20172	13	23	and	and	CCONJ
ajst-20172	13	24	noise	noise	NOUN
ajst-20172	13	25	interference	interference	NOUN
ajst-20172	13	26	of	of	ADP
ajst-20172	13	27	medical	medical	ADJ
ajst-20172	13	28	images	image	NOUN
ajst-20172	13	29	.	.	PUNCT
ajst-20172	14	1	in	in	ADP
ajst-20172	14	2	recent	recent	ADJ
ajst-20172	14	3	times	time	NOUN
ajst-20172	14	4	,	,	PUNCT
ajst-20172	14	5	propelled	propel	VERB
ajst-20172	14	6	by	by	ADP
ajst-20172	14	7	the	the	DET
ajst-20172	14	8	swift	swift	ADJ
ajst-20172	14	9	advancements	advancement	NOUN
ajst-20172	14	10	in	in	ADP
ajst-20172	14	11	deep	deep	ADJ
ajst-20172	14	12	learning	learning	NOUN
ajst-20172	14	13	(	(	PUNCT
ajst-20172	14	14	dl	dl	PROPN
ajst-20172	14	15	)	)	PUNCT
ajst-20172	14	16	,	,	PUNCT
ajst-20172	14	17	notably	notably	ADV
ajst-20172	14	18	the	the	DET
ajst-20172	14	19	emergence	emergence	NOUN
ajst-20172	14	20	of	of	ADP
ajst-20172	14	21	convolutional	convolutional	ADJ
ajst-20172	14	22	neural	neural	ADJ
ajst-20172	14	23	networks	network	NOUN
ajst-20172	14	24	(	(	PUNCT
ajst-20172	14	25	cnn	cnn	PROPN
ajst-20172	14	26	)	)	PUNCT
ajst-20172	14	27	,	,	PUNCT
ajst-20172	14	28	dl	dl	PROPN
ajst-20172	14	29	has	have	AUX
ajst-20172	14	30	achieved	achieve	VERB
ajst-20172	14	31	remarkable	remarkable	ADJ
ajst-20172	14	32	strides	stride	NOUN
ajst-20172	14	33	in	in	ADP
ajst-20172	14	34	the	the	DET
ajst-20172	14	35	realm	realm	NOUN
ajst-20172	14	36	of	of	ADP
ajst-20172	14	37	medical	medical	ADJ
ajst-20172	14	38	image	image	NOUN
ajst-20172	14	39	processing	processing	NOUN
ajst-20172	14	40	.	.	PUNCT
ajst-20172	15	1	dl	dl	PROPN
ajst-20172	15	2	model	model	PROPN
ajst-20172	15	3	shows	show	VERB
ajst-20172	15	4	great	great	ADJ
ajst-20172	15	5	potential	potential	NOUN
ajst-20172	15	6	in	in	ADP
ajst-20172	15	7	mis	mis	PROPN
ajst-20172	15	8	and	and	CCONJ
ajst-20172	15	9	3d	3d	NUM
ajst-20172	15	10	reconstruction	reconstruction	NOUN
ajst-20172	15	11	with	with	ADP
ajst-20172	15	12	its	its	PRON
ajst-20172	15	13	excellent	excellent	ADJ
ajst-20172	15	14	feature	feature	NOUN
ajst-20172	15	15	learning	learn	VERB
ajst-20172	15	16	ability	ability	NOUN
ajst-20172	15	17	and	and	CCONJ
ajst-20172	15	18	nonlinear	nonlinear	ADJ
ajst-20172	15	19	modeling	modeling	NOUN
ajst-20172	15	20	ability	ability	NOUN
ajst-20172	15	21	.	.	PUNCT
ajst-20172	16	1	compared	compare	VERB
ajst-20172	16	2	with	with	ADP
ajst-20172	16	3	traditional	traditional	ADJ
ajst-20172	16	4	methods	method	NOUN
ajst-20172	16	5	,	,	PUNCT
ajst-20172	16	6	dl	dl	PROPN
ajst-20172	16	7	model	model	NOUN
ajst-20172	16	8	can	can	AUX
ajst-20172	16	9	automatically	automatically	ADV
ajst-20172	16	10	learn	learn	VERB
ajst-20172	16	11	the	the	DET
ajst-20172	16	12	feature	feature	NOUN
ajst-20172	16	13	representation	representation	NOUN
ajst-20172	16	14	in	in	ADP
ajst-20172	16	15	medical	medical	ADJ
ajst-20172	16	16	images	image	NOUN
ajst-20172	16	17	,	,	PUNCT
ajst-20172	16	18	thus	thus	ADV
ajst-20172	16	19	achieving	achieve	VERB
ajst-20172	16	20	more	more	ADV
ajst-20172	16	21	accurate	accurate	ADJ
ajst-20172	16	22	and	and	CCONJ
ajst-20172	16	23	robust	robust	ADJ
ajst-20172	16	24	segmentation	segmentation	NOUN
ajst-20172	16	25	and	and	CCONJ
ajst-20172	16	26	reconstruction	reconstruction	NOUN
ajst-20172	16	27	results	result	NOUN
ajst-20172	16	28	[	[	X
ajst-20172	16	29	1	1	NUM
ajst-20172	16	30	-	-	SYM
ajst-20172	16	31	2	2	NUM
ajst-20172	16	32	]	]	PUNCT
ajst-20172	16	33	.	.	PUNCT
ajst-20172	17	1	for	for	ADP
ajst-20172	17	2	example	example	NOUN
ajst-20172	17	3	,	,	PUNCT
ajst-20172	17	4	the	the	DET
ajst-20172	17	5	network	network	NOUN
ajst-20172	17	6	architecture	architecture	NOUN
ajst-20172	17	7	specially	specially	ADV
ajst-20172	17	8	designed	design	VERB
ajst-20172	17	9	for	for	ADP
ajst-20172	17	10	mis	mi	NOUN
ajst-20172	17	11	such	such	ADJ
ajst-20172	17	12	as	as	ADP
ajst-20172	17	13	u	u	NOUN
ajst-20172	17	14	-	-	NOUN
ajst-20172	17	15	net	net	ADJ
ajst-20172	17	16	has	have	AUX
ajst-20172	17	17	become	become	VERB
ajst-20172	17	18	one	one	NUM
ajst-20172	17	19	of	of	ADP
ajst-20172	17	20	the	the	DET
ajst-20172	17	21	standard	standard	ADJ
ajst-20172	17	22	tools	tool	NOUN
ajst-20172	17	23	in	in	ADP
ajst-20172	17	24	medical	medical	ADJ
ajst-20172	17	25	imaging	imaging	NOUN
ajst-20172	17	26	[	[	X
ajst-20172	17	27	3	3	NUM
ajst-20172	17	28	]	]	PUNCT
ajst-20172	17	29	.	.	PUNCT
ajst-20172	18	1	the	the	DET
ajst-20172	18	2	purpose	purpose	NOUN
ajst-20172	18	3	of	of	ADP
ajst-20172	18	4	this	this	DET
ajst-20172	18	5	paper	paper	NOUN
ajst-20172	18	6	is	be	AUX
ajst-20172	18	7	to	to	PART
ajst-20172	18	8	discuss	discuss	VERB
ajst-20172	18	9	the	the	DET
ajst-20172	18	10	application	application	NOUN
ajst-20172	18	11	of	of	ADP
ajst-20172	18	12	dl	dl	PROPN
ajst-20172	18	13	in	in	ADP
ajst-20172	18	14	mis	mis	PROPN
ajst-20172	18	15	and	and	CCONJ
ajst-20172	18	16	3d	3d	PROPN
ajst-20172	18	17	reconstruction	reconstruction	NOUN
ajst-20172	18	18	.	.	PUNCT
ajst-20172	19	1	this	this	DET
ajst-20172	19	2	paper	paper	NOUN
ajst-20172	19	3	will	will	AUX
ajst-20172	19	4	show	show	VERB
ajst-20172	19	5	the	the	DET
ajst-20172	19	6	advantages	advantage	NOUN
ajst-20172	19	7	and	and	CCONJ
ajst-20172	19	8	potential	potential	ADJ
ajst-20172	19	9	applications	application	NOUN
ajst-20172	19	10	of	of	ADP
ajst-20172	19	11	dl	dl	PROPN
ajst-20172	19	12	model	model	NOUN
ajst-20172	19	13	in	in	ADP
ajst-20172	19	14	medical	medical	ADJ
ajst-20172	19	15	image	image	NOUN
ajst-20172	19	16	processing	processing	NOUN
ajst-20172	19	17	by	by	ADP
ajst-20172	19	18	combining	combine	VERB
ajst-20172	19	19	practical	practical	ADJ
ajst-20172	19	20	cases	case	NOUN
ajst-20172	19	21	and	and	CCONJ
ajst-20172	19	22	experimental	experimental	ADJ
ajst-20172	19	23	verification	verification	NOUN
ajst-20172	19	24	.	.	PUNCT
ajst-20172	20	1	by	by	ADP
ajst-20172	20	2	studying	study	VERB
ajst-20172	20	3	the	the	DET
ajst-20172	20	4	latest	late	ADJ
ajst-20172	20	5	progress	progress	NOUN
ajst-20172	20	6	of	of	ADP
ajst-20172	20	7	dl	dl	PROPN
ajst-20172	20	8	in	in	ADP
ajst-20172	20	9	medical	medical	ADJ
ajst-20172	20	10	image	image	NOUN
ajst-20172	20	11	processing	processing	NOUN
ajst-20172	20	12	,	,	PUNCT
ajst-20172	20	13	we	we	PRON
ajst-20172	20	14	hope	hope	VERB
ajst-20172	20	15	to	to	PART
ajst-20172	20	16	provide	provide	VERB
ajst-20172	20	17	useful	useful	ADJ
ajst-20172	20	18	reference	reference	NOUN
ajst-20172	20	19	and	and	CCONJ
ajst-20172	20	20	enlightenment	enlightenment	NOUN
ajst-20172	20	21	for	for	ADP
ajst-20172	20	22	improving	improve	VERB
ajst-20172	20	23	the	the	DET
ajst-20172	20	24	diagnostic	diagnostic	ADJ
ajst-20172	20	25	accuracy	accuracy	NOUN
ajst-20172	20	26	and	and	CCONJ
ajst-20172	20	27	therapeutic	therapeutic	ADJ
ajst-20172	20	28	effect	effect	NOUN
ajst-20172	20	29	of	of	ADP
ajst-20172	20	30	medical	medical	ADJ
ajst-20172	20	31	imaging	imaging	NOUN
ajst-20172	20	32	.	.	PUNCT
ajst-20172	21	1	2	2	X
ajst-20172	21	2	.	.	NUM
ajst-20172	21	3	basic	basic	ADJ
ajst-20172	21	4	concepts	concept	NOUN
ajst-20172	21	5	and	and	CCONJ
ajst-20172	21	6	technical	technical	ADJ
ajst-20172	21	7	challenges	challenge	NOUN
ajst-20172	21	8	of	of	ADP
ajst-20172	21	9	mis	mis	PROPN
ajst-20172	21	10	and	and	CCONJ
ajst-20172	21	11	3d	3d	PROPN
ajst-20172	21	12	reconstruction	reconstruction	NOUN
ajst-20172	21	13	mis	mis	PROPN
ajst-20172	21	14	refers	refer	VERB
ajst-20172	21	15	to	to	ADP
ajst-20172	21	16	the	the	DET
ajst-20172	21	17	process	process	NOUN
ajst-20172	21	18	of	of	ADP
ajst-20172	21	19	accurately	accurately	ADV
ajst-20172	21	20	extracting	extract	VERB
ajst-20172	21	21	the	the	DET
ajst-20172	21	22	tissue	tissue	NOUN
ajst-20172	21	23	structure	structure	NOUN
ajst-20172	21	24	or	or	CCONJ
ajst-20172	21	25	lesion	lesion	NOUN
ajst-20172	21	26	area	area	NOUN
ajst-20172	21	27	from	from	ADP
ajst-20172	21	28	the	the	DET
ajst-20172	21	29	background	background	NOUN
ajst-20172	21	30	in	in	ADP
ajst-20172	21	31	medical	medical	ADJ
ajst-20172	21	32	images	image	NOUN
ajst-20172	21	33	.	.	PUNCT
ajst-20172	22	1	it	it	PRON
ajst-20172	22	2	has	have	VERB
ajst-20172	22	3	important	important	ADJ
ajst-20172	22	4	application	application	NOUN
ajst-20172	22	5	value	value	NOUN
ajst-20172	22	6	in	in	ADP
ajst-20172	22	7	medical	medical	ADJ
ajst-20172	22	8	imaging	imaging	NOUN
ajst-20172	22	9	,	,	PUNCT
ajst-20172	22	10	and	and	CCONJ
ajst-20172	22	11	can	can	AUX
ajst-20172	22	12	be	be	AUX
ajst-20172	22	13	used	use	VERB
ajst-20172	22	14	to	to	PART
ajst-20172	22	15	assist	assist	VERB
ajst-20172	22	16	doctors	doctor	NOUN
ajst-20172	22	17	in	in	ADP
ajst-20172	22	18	disease	disease	NOUN
ajst-20172	22	19	diagnosis	diagnosis	NOUN
ajst-20172	22	20	and	and	CCONJ
ajst-20172	22	21	surgical	surgical	ADJ
ajst-20172	22	22	planning	planning	NOUN
ajst-20172	23	1	[	[	X
ajst-20172	23	2	4	4	NUM
ajst-20172	23	3	]	]	PUNCT
ajst-20172	23	4	.	.	PUNCT
ajst-20172	24	1	traditional	traditional	ADJ
ajst-20172	24	2	mis	mis	PROPN
ajst-20172	24	3	methods	method	NOUN
ajst-20172	24	4	are	be	AUX
ajst-20172	24	5	mainly	mainly	ADV
ajst-20172	24	6	based	base	VERB
ajst-20172	24	7	on	on	ADP
ajst-20172	24	8	basic	basic	ADJ
ajst-20172	24	9	image	image	NOUN
ajst-20172	24	10	processing	processing	NOUN
ajst-20172	24	11	techniques	technique	NOUN
ajst-20172	24	12	such	such	ADJ
ajst-20172	24	13	as	as	ADP
ajst-20172	24	14	threshold	threshold	NOUN
ajst-20172	24	15	segmentation	segmentation	NOUN
ajst-20172	24	16	and	and	CCONJ
ajst-20172	24	17	edge	edge	NOUN
ajst-20172	24	18	detection	detection	NOUN
ajst-20172	24	19	,	,	PUNCT
ajst-20172	24	20	but	but	CCONJ
ajst-20172	24	21	limited	limit	VERB
ajst-20172	24	22	by	by	ADP
ajst-20172	24	23	image	image	NOUN
ajst-20172	24	24	quality	quality	NOUN
ajst-20172	24	25	,	,	PUNCT
ajst-20172	24	26	noise	noise	NOUN
ajst-20172	24	27	interference	interference	NOUN
ajst-20172	24	28	and	and	CCONJ
ajst-20172	24	29	other	other	ADJ
ajst-20172	24	30	factors	factor	NOUN
ajst-20172	24	31	,	,	PUNCT
ajst-20172	24	32	its	its	PRON
ajst-20172	24	33	segmentation	segmentation	NOUN
ajst-20172	24	34	effect	effect	NOUN
ajst-20172	24	35	in	in	ADP
ajst-20172	24	36	complex	complex	ADJ
ajst-20172	24	37	scenes	scene	NOUN
ajst-20172	24	38	is	be	AUX
ajst-20172	24	39	not	not	PART
ajst-20172	24	40	satisfactory	satisfactory	ADJ
ajst-20172	24	41	.	.	PUNCT
ajst-20172	25	1	3d	3d	NUM
ajst-20172	25	2	reconstruction	reconstruction	NOUN
ajst-20172	25	3	of	of	ADP
ajst-20172	25	4	medical	medical	ADJ
ajst-20172	25	5	images	image	NOUN
ajst-20172	25	6	refers	refer	VERB
ajst-20172	25	7	to	to	ADP
ajst-20172	25	8	the	the	DET
ajst-20172	25	9	voxellevel	voxellevel	ADJ
ajst-20172	25	10	3d	3d	NOUN
ajst-20172	25	11	reconstruction	reconstruction	NOUN
ajst-20172	25	12	using	use	VERB
ajst-20172	25	13	medical	medical	ADJ
ajst-20172	25	14	image	image	NOUN
ajst-20172	25	15	data	datum	NOUN
ajst-20172	25	16	to	to	PART
ajst-20172	25	17	obtain	obtain	VERB
ajst-20172	25	18	3d	3d	NUM
ajst-20172	25	19	anatomical	anatomical	ADJ
ajst-20172	25	20	structure	structure	NOUN
ajst-20172	25	21	information	information	NOUN
ajst-20172	25	22	of	of	ADP
ajst-20172	25	23	patients	patient	NOUN
ajst-20172	25	24	[	[	X
ajst-20172	25	25	5	5	NUM
ajst-20172	25	26	]	]	PUNCT
ajst-20172	25	27	.	.	PUNCT
ajst-20172	26	1	compared	compare	VERB
ajst-20172	26	2	with	with	ADP
ajst-20172	26	3	traditional	traditional	ADJ
ajst-20172	26	4	2d	2d	NUM
ajst-20172	26	5	images	image	NOUN
ajst-20172	26	6	,	,	PUNCT
ajst-20172	26	7	3d	3d	NUM
ajst-20172	26	8	images	image	NOUN
ajst-20172	26	9	can	can	AUX
ajst-20172	26	10	provide	provide	VERB
ajst-20172	26	11	more	more	ADV
ajst-20172	26	12	comprehensive	comprehensive	ADJ
ajst-20172	26	13	and	and	CCONJ
ajst-20172	26	14	stereoscopic	stereoscopic	ADJ
ajst-20172	26	15	information	information	NOUN
ajst-20172	26	16	,	,	PUNCT
ajst-20172	26	17	which	which	PRON
ajst-20172	26	18	is	be	AUX
ajst-20172	26	19	helpful	helpful	ADJ
ajst-20172	26	20	for	for	SCONJ
ajst-20172	26	21	doctors	doctor	NOUN
ajst-20172	26	22	to	to	PART
ajst-20172	26	23	fully	fully	ADV
ajst-20172	26	24	understand	understand	VERB
ajst-20172	26	25	the	the	DET
ajst-20172	26	26	condition	condition	NOUN
ajst-20172	26	27	and	and	CCONJ
ajst-20172	26	28	make	make	VERB
ajst-20172	26	29	accurate	accurate	ADJ
ajst-20172	26	30	treatment	treatment	NOUN
ajst-20172	26	31	planning	planning	NOUN
ajst-20172	26	32	.	.	PUNCT
ajst-20172	27	1	however	however	ADV
ajst-20172	27	2	,	,	PUNCT
ajst-20172	27	3	3d	3d	PROPN
ajst-20172	27	4	reconstruction	reconstruction	NOUN
ajst-20172	27	5	of	of	ADP
ajst-20172	27	6	medical	medical	ADJ
ajst-20172	27	7	images	image	NOUN
ajst-20172	27	8	needs	need	VERB
ajst-20172	27	9	to	to	PART
ajst-20172	27	10	deal	deal	VERB
ajst-20172	27	11	with	with	ADP
ajst-20172	27	12	a	a	DET
ajst-20172	27	13	large	large	ADJ
ajst-20172	27	14	number	number	NOUN
ajst-20172	27	15	of	of	ADP
ajst-20172	27	16	image	image	NOUN
ajst-20172	27	17	data	datum	NOUN
ajst-20172	27	18	and	and	CCONJ
ajst-20172	27	19	complex	complex	ADJ
ajst-20172	27	20	technical	technical	ADJ
ajst-20172	27	21	challenges	challenge	NOUN
ajst-20172	27	22	such	such	ADJ
ajst-20172	27	23	as	as	ADP
ajst-20172	27	24	image	image	NOUN
ajst-20172	27	25	registration	registration	NOUN
ajst-20172	27	26	and	and	CCONJ
ajst-20172	27	27	reconstruction	reconstruction	NOUN
ajst-20172	27	28	.	.	PUNCT
ajst-20172	28	1	medical	medical	ADJ
ajst-20172	28	2	images	image	NOUN
ajst-20172	28	3	may	may	AUX
ajst-20172	28	4	be	be	AUX
ajst-20172	28	5	disturbed	disturb	VERB
ajst-20172	28	6	by	by	ADP
ajst-20172	28	7	noise	noise	NOUN
ajst-20172	28	8	and	and	CCONJ
ajst-20172	28	9	artifacts	artifact	NOUN
ajst-20172	28	10	,	,	PUNCT
ajst-20172	28	11	which	which	PRON
ajst-20172	28	12	will	will	AUX
ajst-20172	28	13	lead	lead	VERB
ajst-20172	28	14	to	to	ADP
ajst-20172	28	15	unstable	unstable	ADJ
ajst-20172	28	16	image	image	NOUN
ajst-20172	28	17	quality	quality	NOUN
ajst-20172	28	18	and	and	CCONJ
ajst-20172	28	19	affect	affect	VERB
ajst-20172	28	20	the	the	DET
ajst-20172	28	21	segmentation	segmentation	NOUN
ajst-20172	28	22	and	and	CCONJ
ajst-20172	28	23	reconstruction	reconstruction	NOUN
ajst-20172	28	24	effect	effect	NOUN
ajst-20172	28	25	.	.	PUNCT
ajst-20172	29	1	different	different	ADJ
ajst-20172	29	2	types	type	NOUN
ajst-20172	29	3	of	of	ADP
ajst-20172	29	4	medical	medical	ADJ
ajst-20172	29	5	images	image	NOUN
ajst-20172	29	6	have	have	VERB
ajst-20172	29	7	different	different	ADJ
ajst-20172	29	8	features	feature	NOUN
ajst-20172	29	9	and	and	CCONJ
ajst-20172	29	10	structures	structure	NOUN
ajst-20172	29	11	,	,	PUNCT
ajst-20172	29	12	such	such	ADJ
ajst-20172	29	13	as	as	ADP
ajst-20172	29	14	x	x	NOUN
ajst-20172	29	15	-	-	NOUN
ajst-20172	29	16	ray	ray	NOUN
ajst-20172	29	17	,	,	PUNCT
ajst-20172	29	18	mri	mri	NOUN
ajst-20172	29	19	,	,	PUNCT
ajst-20172	29	20	ct	ct	PROPN
ajst-20172	29	21	,	,	PUNCT
ajst-20172	29	22	etc	etc	X
ajst-20172	29	23	.	.	X
ajst-20172	29	24	,	,	PUNCT
ajst-20172	29	25	so	so	ADV
ajst-20172	29	26	it	it	PRON
ajst-20172	29	27	is	be	AUX
ajst-20172	29	28	necessary	necessary	ADJ
ajst-20172	29	29	to	to	PART
ajst-20172	29	30	design	design	VERB
ajst-20172	29	31	segmentation	segmentation	NOUN
ajst-20172	29	32	and	and	CCONJ
ajst-20172	29	33	reconstruction	reconstruction	NOUN
ajst-20172	29	34	algorithms	algorithm	NOUN
ajst-20172	29	35	.	.	PUNCT
ajst-20172	30	1	traditional	traditional	ADJ
ajst-20172	30	2	image	image	NOUN
ajst-20172	30	3	feature	feature	NOUN
ajst-20172	30	4	extraction	extraction	NOUN
ajst-20172	30	5	methods	method	NOUN
ajst-20172	30	6	often	often	ADV
ajst-20172	30	7	need	need	VERB
ajst-20172	30	8	to	to	PART
ajst-20172	30	9	design	design	VERB
ajst-20172	30	10	features	feature	NOUN
ajst-20172	30	11	manually	manually	ADV
ajst-20172	30	12	,	,	PUNCT
ajst-20172	30	13	which	which	PRON
ajst-20172	30	14	is	be	AUX
ajst-20172	30	15	difficult	difficult	ADJ
ajst-20172	30	16	to	to	PART
ajst-20172	30	17	adapt	adapt	VERB
ajst-20172	30	18	to	to	ADP
ajst-20172	30	19	the	the	DET
ajst-20172	30	20	complex	complex	ADJ
ajst-20172	30	21	features	feature	NOUN
ajst-20172	30	22	of	of	ADP
ajst-20172	30	23	medical	medical	ADJ
ajst-20172	30	24	images	image	NOUN
ajst-20172	30	25	[	[	X
ajst-20172	30	26	6	6	NUM
ajst-20172	30	27	]	]	PUNCT
ajst-20172	30	28	.	.	PUNCT
ajst-20172	31	1	the	the	DET
ajst-20172	31	2	amount	amount	NOUN
ajst-20172	31	3	of	of	ADP
ajst-20172	31	4	medical	medical	ADJ
ajst-20172	31	5	image	image	NOUN
ajst-20172	31	6	data	datum	NOUN
ajst-20172	31	7	is	be	AUX
ajst-20172	31	8	huge	huge	ADJ
ajst-20172	31	9	,	,	PUNCT
ajst-20172	31	10	and	and	CCONJ
ajst-20172	31	11	9	9	NUM
ajst-20172	31	12	the	the	DET
ajst-20172	31	13	computational	computational	ADJ
ajst-20172	31	14	complexity	complexity	NOUN
ajst-20172	31	15	of	of	ADP
ajst-20172	31	16	processing	processing	NOUN
ajst-20172	31	17	and	and	CCONJ
ajst-20172	31	18	analysis	analysis	NOUN
ajst-20172	31	19	is	be	AUX
ajst-20172	31	20	high	high	ADJ
ajst-20172	31	21	,	,	PUNCT
ajst-20172	31	22	which	which	PRON
ajst-20172	31	23	requires	require	VERB
ajst-20172	31	24	the	the	DET
ajst-20172	31	25	support	support	NOUN
ajst-20172	31	26	of	of	ADP
ajst-20172	31	27	efficient	efficient	ADJ
ajst-20172	31	28	algorithms	algorithm	NOUN
ajst-20172	31	29	and	and	CCONJ
ajst-20172	31	30	computing	computing	NOUN
ajst-20172	31	31	platforms	platform	NOUN
ajst-20172	31	32	.	.	PUNCT
ajst-20172	32	1	faced	face	VERB
ajst-20172	32	2	with	with	ADP
ajst-20172	32	3	these	these	DET
ajst-20172	32	4	challenges	challenge	NOUN
ajst-20172	32	5	,	,	PUNCT
ajst-20172	32	6	traditional	traditional	ADJ
ajst-20172	32	7	image	image	NOUN
ajst-20172	32	8	processing	processing	NOUN
ajst-20172	32	9	methods	method	NOUN
ajst-20172	32	10	are	be	AUX
ajst-20172	32	11	often	often	ADV
ajst-20172	32	12	difficult	difficult	ADJ
ajst-20172	32	13	to	to	PART
ajst-20172	32	14	achieve	achieve	VERB
ajst-20172	32	15	ideal	ideal	ADJ
ajst-20172	32	16	results	result	NOUN
ajst-20172	32	17	,	,	PUNCT
ajst-20172	32	18	so	so	CCONJ
ajst-20172	32	19	it	it	PRON
ajst-20172	32	20	is	be	AUX
ajst-20172	32	21	urgent	urgent	ADJ
ajst-20172	32	22	to	to	PART
ajst-20172	32	23	improve	improve	VERB
ajst-20172	32	24	the	the	DET
ajst-20172	32	25	performance	performance	NOUN
ajst-20172	32	26	and	and	CCONJ
ajst-20172	32	27	efficiency	efficiency	NOUN
ajst-20172	32	28	of	of	ADP
ajst-20172	32	29	mis	mis	PROPN
ajst-20172	32	30	and	and	CCONJ
ajst-20172	32	31	3d	3d	NUM
ajst-20172	32	32	reconstruction	reconstruction	NOUN
ajst-20172	32	33	with	with	ADP
ajst-20172	32	34	the	the	DET
ajst-20172	32	35	help	help	NOUN
ajst-20172	32	36	of	of	ADP
ajst-20172	32	37	dl	dl	PROPN
ajst-20172	32	38	and	and	CCONJ
ajst-20172	32	39	other	other	ADJ
ajst-20172	32	40	advanced	advanced	ADJ
ajst-20172	32	41	technologies	technology	NOUN
ajst-20172	32	42	.	.	PUNCT
ajst-20172	33	1	medical	medical	ADJ
ajst-20172	33	2	image	image	NOUN
ajst-20172	33	3	processing	processing	NOUN
ajst-20172	33	4	stands	stand	VERB
ajst-20172	33	5	as	as	ADP
ajst-20172	33	6	a	a	DET
ajst-20172	33	7	cornerstone	cornerstone	NOUN
ajst-20172	33	8	in	in	ADP
ajst-20172	33	9	medical	medical	ADJ
ajst-20172	33	10	imaging	imaging	NOUN
ajst-20172	33	11	,	,	PUNCT
ajst-20172	33	12	holding	hold	VERB
ajst-20172	33	13	immense	immense	ADJ
ajst-20172	33	14	importance	importance	NOUN
ajst-20172	33	15	for	for	ADP
ajst-20172	33	16	medical	medical	ADJ
ajst-20172	33	17	diagnosis	diagnosis	NOUN
ajst-20172	33	18	,	,	PUNCT
ajst-20172	33	19	treatment	treatment	NOUN
ajst-20172	33	20	planning	planning	NOUN
ajst-20172	33	21	,	,	PUNCT
ajst-20172	33	22	and	and	CCONJ
ajst-20172	33	23	disease	disease	NOUN
ajst-20172	33	24	research	research	NOUN
ajst-20172	33	25	.	.	PUNCT
ajst-20172	34	1	with	with	ADP
ajst-20172	34	2	the	the	DET
ajst-20172	34	3	swift	swift	ADJ
ajst-20172	34	4	evolution	evolution	NOUN
ajst-20172	34	5	of	of	ADP
ajst-20172	34	6	dl	dl	PROPN
ajst-20172	34	7	technology	technology	NOUN
ajst-20172	34	8	in	in	ADP
ajst-20172	34	9	recent	recent	ADJ
ajst-20172	34	10	years	year	NOUN
ajst-20172	34	11	,	,	PUNCT
ajst-20172	34	12	it	it	PRON
ajst-20172	34	13	has	have	AUX
ajst-20172	34	14	made	make	VERB
ajst-20172	34	15	notable	notable	ADJ
ajst-20172	34	16	strides	stride	NOUN
ajst-20172	34	17	in	in	ADP
ajst-20172	34	18	medical	medical	ADJ
ajst-20172	34	19	image	image	NOUN
ajst-20172	34	20	processing	processing	NOUN
ajst-20172	34	21	,	,	PUNCT
ajst-20172	34	22	emerging	emerge	VERB
ajst-20172	34	23	as	as	ADP
ajst-20172	34	24	a	a	DET
ajst-20172	34	25	pivotal	pivotal	ADJ
ajst-20172	34	26	method	method	NOUN
ajst-20172	34	27	in	in	ADP
ajst-20172	34	28	the	the	DET
ajst-20172	34	29	field	field	NOUN
ajst-20172	34	30	.	.	PUNCT
ajst-20172	35	1	the	the	DET
ajst-20172	35	2	term	term	NOUN
ajst-20172	35	3	encompasses	encompass	VERB
ajst-20172	35	4	a	a	DET
ajst-20172	35	5	series	series	NOUN
ajst-20172	35	6	of	of	ADP
ajst-20172	35	7	procedures	procedure	NOUN
ajst-20172	35	8	involving	involve	VERB
ajst-20172	35	9	the	the	DET
ajst-20172	35	10	acquisition	acquisition	NOUN
ajst-20172	35	11	,	,	PUNCT
ajst-20172	35	12	analysis	analysis	NOUN
ajst-20172	35	13	,	,	PUNCT
ajst-20172	35	14	reconstruction	reconstruction	NOUN
ajst-20172	35	15	,	,	PUNCT
ajst-20172	35	16	and	and	CCONJ
ajst-20172	35	17	visualization	visualization	NOUN
ajst-20172	35	18	of	of	ADP
ajst-20172	35	19	medical	medical	ADJ
ajst-20172	35	20	image	image	NOUN
ajst-20172	35	21	data	datum	NOUN
ajst-20172	35	22	.	.	PUNCT
ajst-20172	36	1	its	its	PRON
ajst-20172	36	2	core	core	ADJ
ajst-20172	36	3	components	component	NOUN
ajst-20172	36	4	comprise	comprise	VERB
ajst-20172	36	5	image	image	NOUN
ajst-20172	36	6	acquisition	acquisition	NOUN
ajst-20172	36	7	,	,	PUNCT
ajst-20172	36	8	preprocessing	preprocessing	NOUN
ajst-20172	36	9	,	,	PUNCT
ajst-20172	36	10	segmentation	segmentation	NOUN
ajst-20172	36	11	,	,	PUNCT
ajst-20172	36	12	reconstruction	reconstruction	NOUN
ajst-20172	36	13	,	,	PUNCT
ajst-20172	36	14	feature	feature	NOUN
ajst-20172	36	15	extraction	extraction	NOUN
ajst-20172	36	16	,	,	PUNCT
ajst-20172	36	17	and	and	CCONJ
ajst-20172	36	18	other	other	ADJ
ajst-20172	36	19	pertinent	pertinent	ADJ
ajst-20172	36	20	steps	step	NOUN
ajst-20172	36	21	[	[	X
ajst-20172	36	22	7	7	NUM
ajst-20172	36	23	-	-	SYM
ajst-20172	36	24	8	8	NUM
ajst-20172	36	25	]	]	PUNCT
ajst-20172	36	26	.	.	PUNCT
ajst-20172	37	1	among	among	ADP
ajst-20172	37	2	them	they	PRON
ajst-20172	37	3	,	,	PUNCT
ajst-20172	37	4	image	image	NOUN
ajst-20172	37	5	segmentation	segmentation	NOUN
ajst-20172	37	6	is	be	AUX
ajst-20172	37	7	an	an	DET
ajst-20172	37	8	important	important	ADJ
ajst-20172	37	9	task	task	NOUN
ajst-20172	37	10	in	in	ADP
ajst-20172	37	11	medical	medical	ADJ
ajst-20172	37	12	image	image	NOUN
ajst-20172	37	13	processing	processing	NOUN
ajst-20172	37	14	,	,	PUNCT
ajst-20172	37	15	and	and	CCONJ
ajst-20172	37	16	its	its	PRON
ajst-20172	37	17	goal	goal	NOUN
ajst-20172	37	18	is	be	AUX
ajst-20172	37	19	to	to	PART
ajst-20172	37	20	accurately	accurately	ADV
ajst-20172	37	21	separate	separate	VERB
ajst-20172	37	22	and	and	CCONJ
ajst-20172	37	23	identify	identify	VERB
ajst-20172	37	24	different	different	ADJ
ajst-20172	37	25	tissue	tissue	NOUN
ajst-20172	37	26	structures	structure	NOUN
ajst-20172	37	27	or	or	CCONJ
ajst-20172	37	28	lesion	lesion	NOUN
ajst-20172	37	29	areas	area	NOUN
ajst-20172	37	30	in	in	ADP
ajst-20172	37	31	the	the	DET
ajst-20172	37	32	image	image	NOUN
ajst-20172	37	33	.	.	PUNCT
ajst-20172	38	1	3d	3d	NUM
ajst-20172	38	2	reconstruction	reconstruction	NOUN
ajst-20172	38	3	is	be	AUX
ajst-20172	38	4	to	to	PART
ajst-20172	38	5	transform	transform	VERB
ajst-20172	38	6	medical	medical	ADJ
ajst-20172	38	7	image	image	NOUN
ajst-20172	38	8	data	datum	NOUN
ajst-20172	38	9	into	into	ADP
ajst-20172	38	10	3d	3d	PROPN
ajst-20172	38	11	model	model	NOUN
ajst-20172	38	12	,	,	PUNCT
ajst-20172	38	13	which	which	PRON
ajst-20172	38	14	is	be	AUX
ajst-20172	38	15	convenient	convenient	ADJ
ajst-20172	38	16	for	for	SCONJ
ajst-20172	38	17	doctors	doctor	NOUN
ajst-20172	38	18	to	to	PART
ajst-20172	38	19	observe	observe	VERB
ajst-20172	38	20	and	and	CCONJ
ajst-20172	38	21	analyze	analyze	VERB
ajst-20172	38	22	more	more	ADV
ajst-20172	38	23	comprehensively	comprehensively	ADV
ajst-20172	38	24	.	.	PUNCT
ajst-20172	39	1	dl	dl	PROPN
ajst-20172	39	2	technology	technology	PROPN
ajst-20172	39	3	has	have	AUX
ajst-20172	39	4	found	find	VERB
ajst-20172	39	5	extensive	extensive	ADJ
ajst-20172	39	6	application	application	NOUN
ajst-20172	39	7	across	across	ADP
ajst-20172	39	8	various	various	ADJ
ajst-20172	39	9	domains	domain	NOUN
ajst-20172	39	10	of	of	ADP
ajst-20172	39	11	medical	medical	ADJ
ajst-20172	39	12	image	image	NOUN
ajst-20172	39	13	processing	processing	NOUN
ajst-20172	39	14	,	,	PUNCT
ajst-20172	39	15	yielding	yield	VERB
ajst-20172	39	16	noteworthy	noteworthy	ADJ
ajst-20172	39	17	outcomes	outcome	NOUN
ajst-20172	39	18	.	.	PUNCT
ajst-20172	40	1	among	among	ADP
ajst-20172	40	2	these	these	PRON
ajst-20172	40	3	,	,	PUNCT
ajst-20172	40	4	cnn	cnn	PROPN
ajst-20172	40	5	emerges	emerge	VERB
ajst-20172	40	6	as	as	ADP
ajst-20172	40	7	one	one	NUM
ajst-20172	40	8	of	of	ADP
ajst-20172	40	9	the	the	DET
ajst-20172	40	10	prevalent	prevalent	ADJ
ajst-20172	40	11	dl	dl	PROPN
ajst-20172	40	12	models	model	NOUN
ajst-20172	40	13	,	,	PUNCT
ajst-20172	40	14	extensively	extensively	ADV
ajst-20172	40	15	employed	employ	VERB
ajst-20172	40	16	in	in	ADP
ajst-20172	40	17	tasks	task	NOUN
ajst-20172	40	18	such	such	ADJ
ajst-20172	40	19	as	as	ADP
ajst-20172	40	20	mis	mis	PROPN
ajst-20172	40	21	,	,	PUNCT
ajst-20172	40	22	classification	classification	NOUN
ajst-20172	40	23	,	,	PUNCT
ajst-20172	40	24	and	and	CCONJ
ajst-20172	40	25	reconstruction	reconstruction	NOUN
ajst-20172	40	26	.	.	PUNCT
ajst-20172	41	1	by	by	ADP
ajst-20172	41	2	leveraging	leverage	VERB
ajst-20172	41	3	extensive	extensive	ADJ
ajst-20172	41	4	training	training	NOUN
ajst-20172	41	5	on	on	ADP
ajst-20172	41	6	voluminous	voluminous	ADJ
ajst-20172	41	7	medical	medical	ADJ
ajst-20172	41	8	image	image	NOUN
ajst-20172	41	9	datasets	dataset	NOUN
ajst-20172	41	10	,	,	PUNCT
ajst-20172	41	11	cnn	cnn	PROPN
ajst-20172	41	12	autonomously	autonomously	ADV
ajst-20172	41	13	learns	learn	VERB
ajst-20172	41	14	feature	feature	NOUN
ajst-20172	41	15	representations	representation	NOUN
ajst-20172	41	16	within	within	ADP
ajst-20172	41	17	images	image	NOUN
ajst-20172	41	18	,	,	PUNCT
ajst-20172	41	19	enabling	enable	VERB
ajst-20172	41	20	precise	precise	ADJ
ajst-20172	41	21	processing	processing	NOUN
ajst-20172	41	22	and	and	CCONJ
ajst-20172	41	23	analysis	analysis	NOUN
ajst-20172	41	24	of	of	ADP
ajst-20172	41	25	medical	medical	ADJ
ajst-20172	41	26	imagery	imagery	NOUN
ajst-20172	41	27	[	[	X
ajst-20172	41	28	9	9	NUM
ajst-20172	41	29	]	]	PUNCT
ajst-20172	41	30	.	.	PUNCT
ajst-20172	42	1	dl	dl	PROPN
ajst-20172	42	2	models	model	NOUN
ajst-20172	42	3	,	,	PUNCT
ajst-20172	42	4	such	such	ADJ
ajst-20172	42	5	as	as	ADP
ajst-20172	42	6	u	u	NOUN
ajst-20172	42	7	-	-	NOUN
ajst-20172	42	8	net	net	ADJ
ajst-20172	42	9	and	and	CCONJ
ajst-20172	42	10	fcn	fcn	PROPN
ajst-20172	42	11	,	,	PUNCT
ajst-20172	42	12	have	have	AUX
ajst-20172	42	13	achieved	achieve	VERB
ajst-20172	42	14	excellent	excellent	ADJ
ajst-20172	42	15	results	result	NOUN
ajst-20172	42	16	in	in	ADP
ajst-20172	42	17	mis	mis	NOUN
ajst-20172	42	18	tasks	task	NOUN
ajst-20172	42	19	,	,	PUNCT
ajst-20172	42	20	and	and	CCONJ
ajst-20172	42	21	can	can	AUX
ajst-20172	42	22	accurately	accurately	ADV
ajst-20172	42	23	identify	identify	VERB
ajst-20172	42	24	different	different	ADJ
ajst-20172	42	25	tissue	tissue	NOUN
ajst-20172	42	26	structures	structure	NOUN
ajst-20172	42	27	or	or	CCONJ
ajst-20172	42	28	lesion	lesion	NOUN
ajst-20172	42	29	areas	area	NOUN
ajst-20172	42	30	in	in	ADP
ajst-20172	42	31	images	image	NOUN
ajst-20172	42	32	.	.	PUNCT
ajst-20172	43	1	dl	dl	PROPN
ajst-20172	43	2	model	model	NOUN
ajst-20172	43	3	can	can	AUX
ajst-20172	43	4	realize	realize	VERB
ajst-20172	43	5	3d	3d	NUM
ajst-20172	43	6	reconstruction	reconstruction	NOUN
ajst-20172	43	7	of	of	ADP
ajst-20172	43	8	medical	medical	ADJ
ajst-20172	43	9	images	image	NOUN
ajst-20172	43	10	,	,	PUNCT
ajst-20172	43	11	thus	thus	ADV
ajst-20172	43	12	providing	provide	VERB
ajst-20172	43	13	more	more	ADV
ajst-20172	43	14	intuitive	intuitive	ADJ
ajst-20172	43	15	and	and	CCONJ
ajst-20172	43	16	comprehensive	comprehensive	ADJ
ajst-20172	43	17	image	image	NOUN
ajst-20172	43	18	information	information	NOUN
ajst-20172	43	19	,	,	PUNCT
ajst-20172	43	20	which	which	PRON
ajst-20172	43	21	is	be	AUX
ajst-20172	43	22	helpful	helpful	ADJ
ajst-20172	43	23	for	for	SCONJ
ajst-20172	43	24	doctors	doctor	NOUN
ajst-20172	43	25	to	to	PART
ajst-20172	43	26	make	make	VERB
ajst-20172	43	27	more	more	ADV
ajst-20172	43	28	accurate	accurate	ADJ
ajst-20172	43	29	diagnosis	diagnosis	NOUN
ajst-20172	43	30	and	and	CCONJ
ajst-20172	43	31	treatment	treatment	NOUN
ajst-20172	43	32	planning	planning	NOUN
ajst-20172	43	33	[	[	X
ajst-20172	43	34	10	10	NUM
ajst-20172	43	35	]	]	PUNCT
ajst-20172	43	36	.	.	PUNCT
ajst-20172	44	1	3	3	X
ajst-20172	44	2	.	.	X
ajst-20172	44	3	method	method	PROPN
ajst-20172	44	4	3.1	3.1	NUM
ajst-20172	44	5	.	.	PUNCT
ajst-20172	44	6	data	datum	NOUN
ajst-20172	44	7	acquisition	acquisition	NOUN
ajst-20172	44	8	this	this	DET
ajst-20172	44	9	study	study	NOUN
ajst-20172	44	10	used	use	VERB
ajst-20172	44	11	publicly	publicly	ADV
ajst-20172	44	12	available	available	ADJ
ajst-20172	44	13	medical	medical	ADJ
ajst-20172	44	14	image	image	NOUN
ajst-20172	44	15	datasets	dataset	NOUN
ajst-20172	44	16	to	to	PART
ajst-20172	44	17	validate	validate	VERB
ajst-20172	44	18	the	the	DET
ajst-20172	44	19	performance	performance	NOUN
ajst-20172	44	20	of	of	ADP
ajst-20172	44	21	dl	dl	PROPN
ajst-20172	44	22	models	model	NOUN
ajst-20172	44	23	in	in	ADP
ajst-20172	44	24	mis	mis	PROPN
ajst-20172	44	25	and	and	CCONJ
ajst-20172	44	26	3d	3d	NUM
ajst-20172	44	27	reconstruction	reconstruction	NOUN
ajst-20172	44	28	tasks	task	NOUN
ajst-20172	44	29	[	[	X
ajst-20172	44	30	11	11	NUM
ajst-20172	44	31	-	-	SYM
ajst-20172	44	32	12	12	NUM
ajst-20172	44	33	]	]	PUNCT
ajst-20172	44	34	.	.	PUNCT
ajst-20172	45	1	the	the	DET
ajst-20172	45	2	commonly	commonly	ADV
ajst-20172	45	3	used	use	VERB
ajst-20172	45	4	medical	medical	ADJ
ajst-20172	45	5	image	image	NOUN
ajst-20172	45	6	datasets	dataset	NOUN
ajst-20172	45	7	include	include	VERB
ajst-20172	45	8	:	:	PUNCT
ajst-20172	45	9	acdc	acdc	PROPN
ajst-20172	45	10	(	(	PUNCT
ajst-20172	45	11	automated	automate	VERB
ajst-20172	45	12	cardiac	cardiac	ADJ
ajst-20172	45	13	diagnosis	diagnosis	NOUN
ajst-20172	45	14	challenge	challenge	NOUN
ajst-20172	45	15	)	)	PUNCT
ajst-20172	45	16	,	,	PUNCT
ajst-20172	45	17	which	which	PRON
ajst-20172	45	18	includes	include	VERB
ajst-20172	45	19	cardiac	cardiac	ADJ
ajst-20172	45	20	magnetic	magnetic	ADJ
ajst-20172	45	21	resonance	resonance	NOUN
ajst-20172	45	22	images	image	NOUN
ajst-20172	45	23	for	for	ADP
ajst-20172	45	24	cardiac	cardiac	ADJ
ajst-20172	45	25	structure	structure	NOUN
ajst-20172	45	26	segmentation	segmentation	NOUN
ajst-20172	45	27	and	and	CCONJ
ajst-20172	45	28	functional	functional	ADJ
ajst-20172	45	29	analysis	analysis	NOUN
ajst-20172	45	30	.	.	PUNCT
ajst-20172	46	1	brats	brat	NOUN
ajst-20172	46	2	(	(	PUNCT
ajst-20172	46	3	brain	brain	NOUN
ajst-20172	46	4	tumor	tumor	NOUN
ajst-20172	46	5	segmentation	segmentation	NOUN
ajst-20172	46	6	challenge	challenge	NOUN
ajst-20172	46	7	)	)	PUNCT
ajst-20172	46	8	,	,	PUNCT
ajst-20172	46	9	a	a	DET
ajst-20172	46	10	dataset	dataset	NOUN
ajst-20172	46	11	containing	contain	VERB
ajst-20172	46	12	multimodal	multimodal	NOUN
ajst-20172	46	13	mri	mri	NOUN
ajst-20172	46	14	images	image	NOUN
ajst-20172	46	15	of	of	ADP
ajst-20172	46	16	brain	brain	NOUN
ajst-20172	46	17	tumor	tumor	NOUN
ajst-20172	46	18	patients	patient	NOUN
ajst-20172	46	19	,	,	PUNCT
ajst-20172	46	20	is	be	AUX
ajst-20172	46	21	used	use	VERB
ajst-20172	46	22	for	for	ADP
ajst-20172	46	23	brain	brain	NOUN
ajst-20172	46	24	tumor	tumor	NOUN
ajst-20172	46	25	segmentation	segmentation	NOUN
ajst-20172	46	26	.	.	PUNCT
ajst-20172	47	1	lits	lit	NOUN
ajst-20172	47	2	(	(	PUNCT
ajst-20172	47	3	liver	liver	NOUN
ajst-20172	47	4	tumor	tumor	NOUN
ajst-20172	47	5	segmentation	segmentation	NOUN
ajst-20172	47	6	challenge	challenge	NOUN
ajst-20172	47	7	)	)	PUNCT
ajst-20172	47	8	,	,	PUNCT
ajst-20172	47	9	a	a	DET
ajst-20172	47	10	dataset	dataset	NOUN
ajst-20172	47	11	containing	contain	VERB
ajst-20172	47	12	ct	ct	NUM
ajst-20172	47	13	images	image	NOUN
ajst-20172	47	14	of	of	ADP
ajst-20172	47	15	liver	liver	NOUN
ajst-20172	47	16	tumor	tumor	NOUN
ajst-20172	47	17	patients	patient	NOUN
ajst-20172	47	18	,	,	PUNCT
ajst-20172	47	19	is	be	AUX
ajst-20172	47	20	used	use	VERB
ajst-20172	47	21	for	for	ADP
ajst-20172	47	22	liver	liver	NOUN
ajst-20172	47	23	tumor	tumor	NOUN
ajst-20172	47	24	segmentation	segmentation	NOUN
ajst-20172	47	25	.	.	PUNCT
ajst-20172	48	1	before	before	ADP
ajst-20172	48	2	training	train	VERB
ajst-20172	48	3	dl	dl	PROPN
ajst-20172	48	4	model	model	PROPN
ajst-20172	48	5	,	,	PUNCT
ajst-20172	48	6	medical	medical	ADJ
ajst-20172	48	7	image	image	NOUN
ajst-20172	48	8	data	datum	NOUN
ajst-20172	48	9	need	need	VERB
ajst-20172	48	10	to	to	PART
ajst-20172	48	11	be	be	AUX
ajst-20172	48	12	preprocessed	preprocesse	VERB
ajst-20172	48	13	to	to	PART
ajst-20172	48	14	improve	improve	VERB
ajst-20172	48	15	the	the	DET
ajst-20172	48	16	training	training	NOUN
ajst-20172	48	17	effect	effect	NOUN
ajst-20172	48	18	and	and	CCONJ
ajst-20172	48	19	generalization	generalization	NOUN
ajst-20172	48	20	ability	ability	NOUN
ajst-20172	48	21	of	of	ADP
ajst-20172	48	22	the	the	DET
ajst-20172	48	23	model	model	NOUN
ajst-20172	48	24	.	.	PUNCT
ajst-20172	49	1	the	the	DET
ajst-20172	49	2	medical	medical	ADJ
ajst-20172	49	3	images	image	NOUN
ajst-20172	49	4	are	be	AUX
ajst-20172	49	5	resampled	resample	VERB
ajst-20172	49	6	to	to	PART
ajst-20172	49	7	make	make	VERB
ajst-20172	49	8	them	they	PRON
ajst-20172	49	9	have	have	VERB
ajst-20172	49	10	the	the	DET
ajst-20172	49	11	same	same	ADJ
ajst-20172	49	12	resolution	resolution	NOUN
ajst-20172	49	13	and	and	CCONJ
ajst-20172	49	14	size	size	NOUN
ajst-20172	49	15	,	,	PUNCT
ajst-20172	49	16	so	so	SCONJ
ajst-20172	49	17	as	as	SCONJ
ajst-20172	49	18	to	to	PART
ajst-20172	49	19	facilitate	facilitate	VERB
ajst-20172	49	20	the	the	DET
ajst-20172	49	21	unified	unified	ADJ
ajst-20172	49	22	processing	processing	NOUN
ajst-20172	49	23	of	of	ADP
ajst-20172	49	24	the	the	DET
ajst-20172	49	25	model	model	NOUN
ajst-20172	49	26	.	.	PUNCT
ajst-20172	50	1	including	include	VERB
ajst-20172	50	2	brightness	brightness	NOUN
ajst-20172	50	3	adjustment	adjustment	NOUN
ajst-20172	50	4	,	,	PUNCT
ajst-20172	50	5	contrast	contrast	NOUN
ajst-20172	50	6	enhancement	enhancement	NOUN
ajst-20172	50	7	,	,	PUNCT
ajst-20172	50	8	rotation	rotation	NOUN
ajst-20172	50	9	,	,	PUNCT
ajst-20172	50	10	flipping	flipping	NOUN
ajst-20172	50	11	and	and	CCONJ
ajst-20172	50	12	other	other	ADJ
ajst-20172	50	13	operations	operation	NOUN
ajst-20172	50	14	,	,	PUNCT
ajst-20172	50	15	to	to	PART
ajst-20172	50	16	expand	expand	VERB
ajst-20172	50	17	the	the	DET
ajst-20172	50	18	training	training	NOUN
ajst-20172	50	19	data	datum	NOUN
ajst-20172	50	20	set	set	VERB
ajst-20172	50	21	and	and	CCONJ
ajst-20172	50	22	enhance	enhance	VERB
ajst-20172	50	23	the	the	DET
ajst-20172	50	24	robustness	robustness	NOUN
ajst-20172	50	25	of	of	ADP
ajst-20172	50	26	the	the	DET
ajst-20172	50	27	model	model	NOUN
ajst-20172	50	28	[	[	X
ajst-20172	50	29	13	13	NUM
ajst-20172	50	30	]	]	PUNCT
ajst-20172	50	31	.	.	PUNCT
ajst-20172	51	1	the	the	DET
ajst-20172	51	2	pixel	pixel	PROPN
ajst-20172	51	3	values	value	NOUN
ajst-20172	51	4	of	of	ADP
ajst-20172	51	5	the	the	DET
ajst-20172	51	6	image	image	NOUN
ajst-20172	51	7	are	be	AUX
ajst-20172	51	8	normalized	normalize	VERB
ajst-20172	51	9	to	to	ADP
ajst-20172	51	10	the	the	DET
ajst-20172	51	11	range	range	NOUN
ajst-20172	51	12	of	of	ADP
ajst-20172	51	13	0	0	NUM
ajst-20172	51	14	to	to	PART
ajst-20172	51	15	1	1	NUM
ajst-20172	51	16	to	to	PART
ajst-20172	51	17	accelerate	accelerate	VERB
ajst-20172	51	18	the	the	DET
ajst-20172	51	19	convergence	convergence	NOUN
ajst-20172	51	20	of	of	ADP
ajst-20172	51	21	the	the	DET
ajst-20172	51	22	model	model	NOUN
ajst-20172	51	23	and	and	CCONJ
ajst-20172	51	24	improve	improve	VERB
ajst-20172	51	25	the	the	DET
ajst-20172	51	26	training	training	NOUN
ajst-20172	51	27	stability	stability	NOUN
ajst-20172	51	28	.	.	PUNCT
ajst-20172	52	1	including	include	VERB
ajst-20172	52	2	random	random	ADJ
ajst-20172	52	3	cutting	cutting	NOUN
ajst-20172	52	4	,	,	PUNCT
ajst-20172	52	5	scaling	scaling	NOUN
ajst-20172	52	6	,	,	PUNCT
ajst-20172	52	7	rotation	rotation	NOUN
ajst-20172	52	8	and	and	CCONJ
ajst-20172	52	9	other	other	ADJ
ajst-20172	52	10	operations	operation	NOUN
ajst-20172	52	11	,	,	PUNCT
ajst-20172	52	12	in	in	ADP
ajst-20172	52	13	order	order	NOUN
ajst-20172	52	14	to	to	PART
ajst-20172	52	15	expand	expand	VERB
ajst-20172	52	16	the	the	DET
ajst-20172	52	17	training	training	NOUN
ajst-20172	52	18	data	datum	NOUN
ajst-20172	52	19	set	set	VERB
ajst-20172	52	20	and	and	CCONJ
ajst-20172	52	21	enhance	enhance	VERB
ajst-20172	52	22	the	the	DET
ajst-20172	52	23	generalization	generalization	NOUN
ajst-20172	52	24	ability	ability	NOUN
ajst-20172	52	25	of	of	ADP
ajst-20172	52	26	the	the	DET
ajst-20172	52	27	model	model	NOUN
ajst-20172	52	28	.	.	PUNCT
ajst-20172	53	1	through	through	ADP
ajst-20172	53	2	appropriate	appropriate	ADJ
ajst-20172	53	3	data	datum	NOUN
ajst-20172	53	4	preprocessing	preprocessing	NOUN
ajst-20172	53	5	methods	method	NOUN
ajst-20172	53	6	,	,	PUNCT
ajst-20172	53	7	medical	medical	ADJ
ajst-20172	53	8	image	image	NOUN
ajst-20172	53	9	data	datum	NOUN
ajst-20172	53	10	can	can	AUX
ajst-20172	53	11	be	be	AUX
ajst-20172	53	12	effectively	effectively	ADV
ajst-20172	53	13	prepared	prepared	ADJ
ajst-20172	53	14	to	to	PART
ajst-20172	53	15	meet	meet	VERB
ajst-20172	53	16	the	the	DET
ajst-20172	53	17	needs	need	NOUN
ajst-20172	53	18	of	of	ADP
ajst-20172	53	19	dl	dl	PROPN
ajst-20172	53	20	model	model	NOUN
ajst-20172	53	21	training	training	NOUN
ajst-20172	53	22	and	and	CCONJ
ajst-20172	53	23	improve	improve	VERB
ajst-20172	53	24	the	the	DET
ajst-20172	53	25	performance	performance	NOUN
ajst-20172	53	26	of	of	ADP
ajst-20172	53	27	the	the	DET
ajst-20172	53	28	model	model	NOUN
ajst-20172	53	29	in	in	ADP
ajst-20172	53	30	practical	practical	ADJ
ajst-20172	53	31	application	application	NOUN
ajst-20172	53	32	.	.	PUNCT
ajst-20172	54	1	3.2	3.2	NUM
ajst-20172	54	2	.	.	PUNCT
ajst-20172	54	3	model	model	NOUN
ajst-20172	54	4	design	design	NOUN
ajst-20172	54	5	in	in	ADP
ajst-20172	54	6	this	this	DET
ajst-20172	54	7	study	study	NOUN
ajst-20172	54	8	,	,	PUNCT
ajst-20172	54	9	a	a	DET
ajst-20172	54	10	dl	dl	PROPN
ajst-20172	54	11	model	model	NOUN
ajst-20172	54	12	based	base	VERB
ajst-20172	54	13	on	on	ADP
ajst-20172	54	14	attention	attention	NOUN
ajst-20172	54	15	mechanism	mechanism	NOUN
ajst-20172	54	16	is	be	AUX
ajst-20172	54	17	designed	design	VERB
ajst-20172	54	18	for	for	ADP
ajst-20172	54	19	mis	mis	NOUN
ajst-20172	54	20	and	and	CCONJ
ajst-20172	54	21	3d	3d	PROPN
ajst-20172	54	22	reconstruction	reconstruction	NOUN
ajst-20172	54	23	.	.	PUNCT
ajst-20172	55	1	this	this	DET
ajst-20172	55	2	model	model	NOUN
ajst-20172	55	3	can	can	AUX
ajst-20172	55	4	automatically	automatically	ADV
ajst-20172	55	5	learn	learn	VERB
ajst-20172	55	6	the	the	DET
ajst-20172	55	7	important	important	ADJ
ajst-20172	55	8	features	feature	NOUN
ajst-20172	55	9	of	of	ADP
ajst-20172	55	10	medical	medical	ADJ
ajst-20172	55	11	images	image	NOUN
ajst-20172	55	12	and	and	CCONJ
ajst-20172	55	13	focus	focus	VERB
ajst-20172	55	14	on	on	ADP
ajst-20172	55	15	key	key	ADJ
ajst-20172	55	16	areas	area	NOUN
ajst-20172	55	17	,	,	PUNCT
ajst-20172	55	18	thus	thus	ADV
ajst-20172	55	19	achieving	achieve	VERB
ajst-20172	55	20	more	more	ADV
ajst-20172	55	21	accurate	accurate	ADJ
ajst-20172	55	22	and	and	CCONJ
ajst-20172	55	23	robust	robust	ADJ
ajst-20172	55	24	segmentation	segmentation	NOUN
ajst-20172	55	25	and	and	CCONJ
ajst-20172	55	26	reconstruction	reconstruction	NOUN
ajst-20172	55	27	results	result	NOUN
ajst-20172	55	28	.	.	PUNCT
ajst-20172	56	1	the	the	DET
ajst-20172	56	2	utilized	utilize	VERB
ajst-20172	56	3	architecture	architecture	NOUN
ajst-20172	56	4	incorporates	incorporate	VERB
ajst-20172	56	5	an	an	DET
ajst-20172	56	6	encoder	encoder	NOUN
ajst-20172	56	7	-	-	PUNCT
ajst-20172	56	8	decoder	decoder	NOUN
ajst-20172	56	9	structure	structure	NOUN
ajst-20172	56	10	,	,	PUNCT
ajst-20172	56	11	where	where	SCONJ
ajst-20172	56	12	the	the	DET
ajst-20172	56	13	encoder	encoder	NOUN
ajst-20172	56	14	extracts	extract	VERB
ajst-20172	56	15	image	image	NOUN
ajst-20172	56	16	features	feature	NOUN
ajst-20172	56	17	,	,	PUNCT
ajst-20172	56	18	and	and	CCONJ
ajst-20172	56	19	the	the	DET
ajst-20172	56	20	decoder	decoder	NOUN
ajst-20172	56	21	maps	map	VERB
ajst-20172	56	22	these	these	PRON
ajst-20172	56	23	features	feature	VERB
ajst-20172	56	24	back	back	ADV
ajst-20172	56	25	to	to	ADP
ajst-20172	56	26	the	the	DET
ajst-20172	56	27	original	original	ADJ
ajst-20172	56	28	image	image	NOUN
ajst-20172	56	29	space[14	space[14	PROPN
ajst-20172	56	30	]	]	PUNCT
ajst-20172	56	31	.	.	PUNCT
ajst-20172	57	1	to	to	PART
ajst-20172	57	2	enhance	enhance	VERB
ajst-20172	57	3	model	model	NOUN
ajst-20172	57	4	attention	attention	NOUN
ajst-20172	57	5	on	on	ADP
ajst-20172	57	6	critical	critical	ADJ
ajst-20172	57	7	regions	region	NOUN
ajst-20172	57	8	,	,	PUNCT
ajst-20172	57	9	an	an	DET
ajst-20172	57	10	attention	attention	NOUN
ajst-20172	57	11	mechanism	mechanism	NOUN
ajst-20172	57	12	is	be	AUX
ajst-20172	57	13	introduced	introduce	VERB
ajst-20172	57	14	,	,	PUNCT
ajst-20172	57	15	dynamically	dynamically	ADV
ajst-20172	57	16	adjusting	adjust	VERB
ajst-20172	57	17	feature	feature	NOUN
ajst-20172	57	18	importance	importance	NOUN
ajst-20172	57	19	across	across	ADP
ajst-20172	57	20	different	different	ADJ
ajst-20172	57	21	positions	position	NOUN
ajst-20172	57	22	.	.	PUNCT
ajst-20172	58	1	we	we	PRON
ajst-20172	58	2	propose	propose	VERB
ajst-20172	58	3	a	a	DET
ajst-20172	58	4	self	self	NOUN
ajst-20172	58	5	-	-	PUNCT
ajst-20172	58	6	attention	attention	NOUN
ajst-20172	58	7	mechanism	mechanism	NOUN
ajst-20172	58	8	,	,	PUNCT
ajst-20172	58	9	dubbed	dub	VERB
ajst-20172	58	10	"	"	PUNCT
ajst-20172	58	11	attention	attention	NOUN
ajst-20172	58	12	u	u	NOUN
ajst-20172	58	13	-	-	NOUN
ajst-20172	58	14	net	net	ADJ
ajst-20172	58	15	,	,	PUNCT
ajst-20172	58	16	"	"	PUNCT
ajst-20172	58	17	facilitating	facilitate	VERB
ajst-20172	58	18	automatic	automatic	ADJ
ajst-20172	58	19	learning	learning	NOUN
ajst-20172	58	20	of	of	ADP
ajst-20172	58	21	feature	feature	NOUN
ajst-20172	58	22	dependencies	dependency	NOUN
ajst-20172	58	23	and	and	CCONJ
ajst-20172	58	24	guiding	guide	VERB
ajst-20172	58	25	the	the	DET
ajst-20172	58	26	model	model	NOUN
ajst-20172	58	27	's	's	PART
ajst-20172	58	28	focus	focus	NOUN
ajst-20172	58	29	towards	towards	ADP
ajst-20172	58	30	task	task	NOUN
ajst-20172	58	31	-	-	PUNCT
ajst-20172	58	32	specific	specific	ADJ
ajst-20172	58	33	key	key	ADJ
ajst-20172	58	34	areas	area	NOUN
ajst-20172	58	35	[	[	X
ajst-20172	58	36	15	15	NUM
ajst-20172	58	37	]	]	PUNCT
ajst-20172	58	38	.	.	PUNCT
ajst-20172	59	1	the	the	DET
ajst-20172	59	2	u	u	ADJ
ajst-20172	59	3	-	-	ADJ
ajst-20172	59	4	net	net	ADJ
ajst-20172	59	5	architecture	architecture	NOUN
ajst-20172	59	6	(	(	PUNCT
ajst-20172	59	7	figure	figure	NOUN
ajst-20172	59	8	1	1	NUM
ajst-20172	59	9	)	)	PUNCT
ajst-20172	59	10	is	be	AUX
ajst-20172	59	11	adopted	adopt	VERB
ajst-20172	59	12	in	in	ADP
ajst-20172	59	13	the	the	DET
ajst-20172	59	14	encoder	encoder	NOUN
ajst-20172	59	15	and	and	CCONJ
ajst-20172	59	16	decoder	decoder	NOUN
ajst-20172	59	17	to	to	PART
ajst-20172	59	18	effectively	effectively	ADV
ajst-20172	59	19	capture	capture	VERB
ajst-20172	59	20	the	the	DET
ajst-20172	59	21	feature	feature	NOUN
ajst-20172	59	22	information	information	NOUN
ajst-20172	59	23	of	of	ADP
ajst-20172	59	24	different	different	ADJ
ajst-20172	59	25	scales	scale	NOUN
ajst-20172	59	26	and	and	CCONJ
ajst-20172	59	27	retain	retain	VERB
ajst-20172	59	28	more	more	ADJ
ajst-20172	59	29	spatial	spatial	ADJ
ajst-20172	59	30	context	context	NOUN
ajst-20172	59	31	information[16	information[16	NOUN
ajst-20172	59	32	]	]	PUNCT
ajst-20172	59	33	.	.	PUNCT
ajst-20172	60	1	figure	figure	NOUN
ajst-20172	60	2	1	1	NUM
ajst-20172	60	3	.	.	X
ajst-20172	61	1	u	u	ADJ
ajst-20172	61	2	-	-	ADJ
ajst-20172	61	3	net	net	ADJ
ajst-20172	61	4	architecture	architecture	NOUN
ajst-20172	61	5	10	10	NUM
ajst-20172	61	6	given	give	VERB
ajst-20172	61	7	the	the	DET
ajst-20172	61	8	input	input	NOUN
ajst-20172	61	9	feature	feature	NOUN
ajst-20172	61	10	map	map	NOUN
ajst-20172	61	11	x	x	PUNCT
ajst-20172	61	12	and	and	CCONJ
ajst-20172	61	13	the	the	DET
ajst-20172	61	14	related	relate	VERB
ajst-20172	61	15	parametersw	parametersw	NOUN
ajst-20172	61	16	,	,	PUNCT
ajst-20172	61	17	the	the	DET
ajst-20172	61	18	calculation	calculation	NOUN
ajst-20172	61	19	formula	formula	NOUN
ajst-20172	61	20	of	of	ADP
ajst-20172	61	21	attention	attention	NOUN
ajst-20172	61	22	weight	weight	NOUN
ajst-20172	61	23	a	a	PRON
ajst-20172	61	24	can	can	AUX
ajst-20172	61	25	be	be	AUX
ajst-20172	61	26	expressed	express	VERB
ajst-20172	61	27	as	as	ADP
ajst-20172	61	28	:	:	PUNCT
ajst-20172	61	29			NOUN
ajst-20172	61	30	twxa	twxa	PUNCT
ajst-20172	61	31			PROPN
ajst-20172	61	32	softmax	softmax	NOUN
ajst-20172	61	33	(	(	PUNCT
ajst-20172	61	34	1	1	X
ajst-20172	61	35	)	)	PUNCT
ajst-20172	61	36	where	where	SCONJ
ajst-20172	61	37	twx	twx	DET
ajst-20172	61	38			PROPN
ajst-20172	61	39	represents	represent	VERB
ajst-20172	61	40	the	the	DET
ajst-20172	61	41	product	product	NOUN
ajst-20172	61	42	of	of	ADP
ajst-20172	61	43	the	the	DET
ajst-20172	61	44	input	input	NOUN
ajst-20172	61	45	feature	feature	NOUN
ajst-20172	61	46	map	map	NOUN
ajst-20172	61	47	and	and	CCONJ
ajst-20172	61	48	the	the	DET
ajst-20172	61	49	parameter	parameter	NOUN
ajst-20172	61	50	w	w	PROPN
ajst-20172	61	51	,	,	PUNCT
ajst-20172	61	52	and	and	CCONJ
ajst-20172	61	53	the	the	DET
ajst-20172	61	54	softmax	softmax	NOUN
ajst-20172	61	55	function	function	NOUN
ajst-20172	61	56	converts	convert	VERB
ajst-20172	61	57	each	each	DET
ajst-20172	61	58	element	element	NOUN
ajst-20172	61	59	into	into	ADP
ajst-20172	61	60	a	a	DET
ajst-20172	61	61	value	value	NOUN
ajst-20172	61	62	between	between	ADP
ajst-20172	61	63	0	0	NUM
ajst-20172	61	64	and	and	CCONJ
ajst-20172	61	65	1	1	NUM
ajst-20172	61	66	,	,	PUNCT
ajst-20172	61	67	and	and	CCONJ
ajst-20172	61	68	ensures	ensure	VERB
ajst-20172	61	69	that	that	SCONJ
ajst-20172	61	70	their	their	PRON
ajst-20172	61	71	sum	sum	NOUN
ajst-20172	61	72	is	be	AUX
ajst-20172	61	73	1	1	NUM
ajst-20172	61	74	,	,	PUNCT
ajst-20172	61	75	thus	thus	ADV
ajst-20172	61	76	obtaining	obtain	VERB
ajst-20172	61	77	the	the	DET
ajst-20172	61	78	attention	attention	NOUN
ajst-20172	61	79	weight	weight	NOUN
ajst-20172	61	80	a	a	PRON
ajst-20172	61	81	.	.	PUNCT
ajst-20172	62	1	the	the	DET
ajst-20172	62	2	incorporation	incorporation	NOUN
ajst-20172	62	3	of	of	ADP
ajst-20172	62	4	an	an	DET
ajst-20172	62	5	attention	attention	NOUN
ajst-20172	62	6	mechanism	mechanism	NOUN
ajst-20172	62	7	within	within	ADP
ajst-20172	62	8	the	the	DET
ajst-20172	62	9	model	model	NOUN
ajst-20172	62	10	serves	serve	VERB
ajst-20172	62	11	to	to	PART
ajst-20172	62	12	dynamically	dynamically	ADV
ajst-20172	62	13	modulate	modulate	VERB
ajst-20172	62	14	the	the	DET
ajst-20172	62	15	significance	significance	NOUN
ajst-20172	62	16	of	of	ADP
ajst-20172	62	17	various	various	ADJ
ajst-20172	62	18	positions	position	NOUN
ajst-20172	62	19	within	within	ADP
ajst-20172	62	20	the	the	DET
ajst-20172	62	21	feature	feature	NOUN
ajst-20172	62	22	map	map	NOUN
ajst-20172	62	23	,	,	PUNCT
ajst-20172	62	24	thereby	thereby	ADV
ajst-20172	62	25	enhancing	enhance	VERB
ajst-20172	62	26	the	the	DET
ajst-20172	62	27	model	model	NOUN
ajst-20172	62	28	's	's	PART
ajst-20172	62	29	focus	focus	NOUN
ajst-20172	62	30	on	on	ADP
ajst-20172	62	31	crucial	crucial	ADJ
ajst-20172	62	32	areas	area	NOUN
ajst-20172	62	33	.	.	PUNCT
ajst-20172	63	1	the	the	DET
ajst-20172	63	2	architecture	architecture	NOUN
ajst-20172	63	3	of	of	ADP
ajst-20172	63	4	the	the	DET
ajst-20172	63	5	self	self	NOUN
ajst-20172	63	6	-	-	PUNCT
ajst-20172	63	7	attention	attention	NOUN
ajst-20172	63	8	u	u	NOUN
ajst-20172	63	9	-	-	NOUN
ajst-20172	63	10	net	net	ADJ
ajst-20172	63	11	is	be	AUX
ajst-20172	63	12	devised	devise	VERB
ajst-20172	63	13	to	to	ADP
ajst-20172	63	14	autonomously	autonomously	ADV
ajst-20172	63	15	discern	discern	ADJ
ajst-20172	63	16	feature	feature	NOUN
ajst-20172	63	17	dependencies	dependency	NOUN
ajst-20172	63	18	,	,	PUNCT
ajst-20172	63	19	thereby	thereby	ADV
ajst-20172	63	20	enhancing	enhance	VERB
ajst-20172	63	21	the	the	DET
ajst-20172	63	22	model	model	NOUN
ajst-20172	63	23	's	's	PART
ajst-20172	63	24	performance	performance	NOUN
ajst-20172	63	25	in	in	ADP
ajst-20172	63	26	tasks	task	NOUN
ajst-20172	63	27	such	such	ADJ
ajst-20172	63	28	as	as	ADP
ajst-20172	63	29	mis	mis	NOUN
ajst-20172	63	30	and	and	CCONJ
ajst-20172	63	31	3d	3d	PROPN
ajst-20172	63	32	reconstruction	reconstruction	NOUN
ajst-20172	63	33	.	.	PUNCT
ajst-20172	64	1	3.3	3.3	NUM
ajst-20172	64	2	.	.	PUNCT
ajst-20172	64	3	training	training	NOUN
ajst-20172	64	4	process	process	NOUN
ajst-20172	64	5	we	we	PRON
ajst-20172	64	6	employ	employ	VERB
ajst-20172	64	7	an	an	DET
ajst-20172	64	8	end	end	NOUN
ajst-20172	64	9	-	-	PUNCT
ajst-20172	64	10	to	to	ADP
ajst-20172	64	11	-	-	PUNCT
ajst-20172	64	12	end	end	NOUN
ajst-20172	64	13	training	training	NOUN
ajst-20172	64	14	approach	approach	NOUN
ajst-20172	64	15	for	for	ADP
ajst-20172	64	16	our	our	PRON
ajst-20172	64	17	model	model	NOUN
ajst-20172	64	18	,	,	PUNCT
ajst-20172	64	19	utilizing	utilize	VERB
ajst-20172	64	20	input	input	NOUN
ajst-20172	64	21	images	image	NOUN
ajst-20172	64	22	along	along	ADP
ajst-20172	64	23	with	with	ADP
ajst-20172	64	24	corresponding	corresponding	ADJ
ajst-20172	64	25	tag	tag	NOUN
ajst-20172	64	26	data	datum	NOUN
ajst-20172	64	27	.	.	PUNCT
ajst-20172	65	1	the	the	DET
ajst-20172	65	2	image	image	NOUN
ajst-20172	65	3	data	datum	NOUN
ajst-20172	65	4	is	be	AUX
ajst-20172	65	5	fed	feed	VERB
ajst-20172	65	6	into	into	ADP
ajst-20172	65	7	the	the	DET
ajst-20172	65	8	model	model	NOUN
ajst-20172	65	9	to	to	PART
ajst-20172	65	10	obtain	obtain	VERB
ajst-20172	65	11	output	output	NOUN
ajst-20172	65	12	results	result	NOUN
ajst-20172	65	13	,	,	PUNCT
ajst-20172	65	14	followed	follow	VERB
ajst-20172	65	15	by	by	ADP
ajst-20172	65	16	calculation	calculation	NOUN
ajst-20172	65	17	of	of	ADP
ajst-20172	65	18	the	the	DET
ajst-20172	65	19	loss	loss	NOUN
ajst-20172	65	20	between	between	ADP
ajst-20172	65	21	the	the	DET
ajst-20172	65	22	model	model	NOUN
ajst-20172	65	23	output	output	NOUN
ajst-20172	65	24	and	and	CCONJ
ajst-20172	65	25	the	the	DET
ajst-20172	65	26	label	label	NOUN
ajst-20172	65	27	.	.	PUNCT
ajst-20172	66	1	through	through	ADP
ajst-20172	66	2	the	the	DET
ajst-20172	66	3	loss	loss	NOUN
ajst-20172	66	4	function	function	NOUN
ajst-20172	66	5	,	,	PUNCT
ajst-20172	66	6	errors	error	NOUN
ajst-20172	66	7	are	be	AUX
ajst-20172	66	8	propagated	propagate	VERB
ajst-20172	66	9	backward	backward	ADV
ajst-20172	66	10	,	,	PUNCT
ajst-20172	66	11	updating	update	VERB
ajst-20172	66	12	the	the	DET
ajst-20172	66	13	model	model	NOUN
ajst-20172	66	14	parameters	parameter	NOUN
ajst-20172	66	15	accordingly[17	accordingly[17	VERB
ajst-20172	66	16	]	]	PUNCT
ajst-20172	66	17	.	.	PUNCT
ajst-20172	67	1	for	for	ADP
ajst-20172	67	2	guiding	guide	VERB
ajst-20172	67	3	the	the	DET
ajst-20172	67	4	model	model	NOUN
ajst-20172	67	5	training	training	NOUN
ajst-20172	67	6	,	,	PUNCT
ajst-20172	67	7	a	a	DET
ajst-20172	67	8	loss	loss	NOUN
ajst-20172	67	9	function	function	NOUN
ajst-20172	67	10	tailored	tailor	VERB
ajst-20172	67	11	for	for	ADP
ajst-20172	67	12	mis	mis	NOUN
ajst-20172	67	13	tasks	task	NOUN
ajst-20172	67	14	is	be	AUX
ajst-20172	67	15	chosen[18	chosen[18	NOUN
ajst-20172	67	16	]	]	PUNCT
ajst-20172	67	17	.	.	PUNCT
ajst-20172	68	1	specifically	specifically	ADV
ajst-20172	68	2	,	,	PUNCT
ajst-20172	68	3	the	the	DET
ajst-20172	68	4	cross	cross	ADJ
ajst-20172	68	5	-	-	ADJ
ajst-20172	68	6	entropy	entropy	ADJ
ajst-20172	68	7	loss	loss	NOUN
ajst-20172	68	8	function	function	NOUN
ajst-20172	68	9	is	be	AUX
ajst-20172	68	10	selected	select	VERB
ajst-20172	68	11	for	for	ADP
ajst-20172	68	12	multi	multi	ADJ
ajst-20172	68	13	-	-	ADJ
ajst-20172	68	14	category	category	ADJ
ajst-20172	68	15	segmentation	segmentation	NOUN
ajst-20172	68	16	tasks	task	NOUN
ajst-20172	68	17	,	,	PUNCT
ajst-20172	68	18	as	as	SCONJ
ajst-20172	68	19	it	it	PRON
ajst-20172	68	20	aptly	aptly	ADV
ajst-20172	68	21	addresses	address	VERB
ajst-20172	68	22	pixel	pixel	ADJ
ajst-20172	68	23	-	-	PUNCT
ajst-20172	68	24	level	level	NOUN
ajst-20172	68	25	classification	classification	NOUN
ajst-20172	68	26	challenges	challenge	NOUN
ajst-20172	68	27	.	.	PUNCT
ajst-20172	69	1	to	to	PART
ajst-20172	69	2	minimize	minimize	VERB
ajst-20172	69	3	the	the	DET
ajst-20172	69	4	loss	loss	NOUN
ajst-20172	69	5	function	function	NOUN
ajst-20172	69	6	and	and	CCONJ
ajst-20172	69	7	update	update	VERB
ajst-20172	69	8	the	the	DET
ajst-20172	69	9	model	model	NOUN
ajst-20172	69	10	parameters	parameter	NOUN
ajst-20172	69	11	,	,	PUNCT
ajst-20172	69	12	an	an	DET
ajst-20172	69	13	optimizer	optimizer	NOUN
ajst-20172	69	14	is	be	AUX
ajst-20172	69	15	employed	employ	VERB
ajst-20172	69	16	.	.	PUNCT
ajst-20172	70	1	utilizing	utilize	VERB
ajst-20172	70	2	an	an	DET
ajst-20172	70	3	optimization	optimization	NOUN
ajst-20172	70	4	algorithm	algorithm	NOUN
ajst-20172	70	5	grounded	ground	VERB
ajst-20172	70	6	in	in	ADP
ajst-20172	70	7	gradient	gradient	ADJ
ajst-20172	70	8	descent	descent	NOUN
ajst-20172	70	9	,	,	PUNCT
ajst-20172	70	10	a	a	DET
ajst-20172	70	11	subset	subset	NOUN
ajst-20172	70	12	of	of	ADP
ajst-20172	70	13	samples	sample	NOUN
ajst-20172	70	14	is	be	AUX
ajst-20172	70	15	randomly	randomly	ADV
ajst-20172	70	16	chosen	choose	VERB
ajst-20172	70	17	for	for	ADP
ajst-20172	70	18	calculation	calculation	NOUN
ajst-20172	70	19	each	each	DET
ajst-20172	70	20	time	time	NOUN
ajst-20172	70	21	parameters	parameter	NOUN
ajst-20172	70	22	are	be	AUX
ajst-20172	70	23	updated	update	VERB
ajst-20172	70	24	,	,	PUNCT
ajst-20172	70	25	making	make	VERB
ajst-20172	70	26	it	it	PRON
ajst-20172	70	27	suitable	suitable	ADJ
ajst-20172	70	28	for	for	ADP
ajst-20172	70	29	large	large	ADJ
ajst-20172	70	30	-	-	PUNCT
ajst-20172	70	31	scale	scale	NOUN
ajst-20172	70	32	datasets[19	datasets[19	NOUN
ajst-20172	70	33	]	]	X
ajst-20172	70	34	.	.	PUNCT
ajst-20172	71	1	additionally	additionally	ADV
ajst-20172	71	2	,	,	PUNCT
ajst-20172	71	3	adjustments	adjustment	NOUN
ajst-20172	71	4	to	to	ADP
ajst-20172	71	5	the	the	DET
ajst-20172	71	6	learning	learning	NOUN
ajst-20172	71	7	rate	rate	NOUN
ajst-20172	71	8	and	and	CCONJ
ajst-20172	71	9	other	other	ADJ
ajst-20172	71	10	parameters	parameter	NOUN
ajst-20172	71	11	are	be	AUX
ajst-20172	71	12	made	make	VERB
ajst-20172	71	13	to	to	PART
ajst-20172	71	14	optimize	optimize	VERB
ajst-20172	71	15	the	the	DET
ajst-20172	71	16	training	training	NOUN
ajst-20172	71	17	process	process	NOUN
ajst-20172	71	18	.	.	PUNCT
ajst-20172	72	1	to	to	PART
ajst-20172	72	2	curb	curb	VERB
ajst-20172	72	3	model	model	NOUN
ajst-20172	72	4	overfitting	overfitting	NOUN
ajst-20172	72	5	and	and	CCONJ
ajst-20172	72	6	expedite	expedite	ADJ
ajst-20172	72	7	convergence	convergence	NOUN
ajst-20172	72	8	,	,	PUNCT
ajst-20172	72	9	the	the	DET
ajst-20172	72	10	following	follow	VERB
ajst-20172	72	11	training	training	NOUN
ajst-20172	72	12	strategies	strategy	NOUN
ajst-20172	72	13	are	be	AUX
ajst-20172	72	14	implemented	implement	VERB
ajst-20172	72	15	:	:	PUNCT
ajst-20172	72	16	data	datum	NOUN
ajst-20172	72	17	augmentation	augmentation	NOUN
ajst-20172	72	18	,	,	PUNCT
ajst-20172	72	19	incorporating	incorporate	VERB
ajst-20172	72	20	random	random	ADJ
ajst-20172	72	21	cropping	cropping	NOUN
ajst-20172	72	22	,	,	PUNCT
ajst-20172	72	23	rotation	rotation	NOUN
ajst-20172	72	24	,	,	PUNCT
ajst-20172	72	25	flipping	flipping	NOUN
ajst-20172	72	26	,	,	PUNCT
ajst-20172	72	27	and	and	CCONJ
ajst-20172	72	28	similar	similar	ADJ
ajst-20172	72	29	operations	operation	NOUN
ajst-20172	72	30	to	to	PART
ajst-20172	72	31	augment	augment	VERB
ajst-20172	72	32	the	the	DET
ajst-20172	72	33	training	training	NOUN
ajst-20172	72	34	dataset	dataset	NOUN
ajst-20172	72	35	.	.	PUNCT
ajst-20172	73	1	additionally	additionally	ADV
ajst-20172	73	2	,	,	PUNCT
ajst-20172	73	3	learning	learn	VERB
ajst-20172	73	4	rate	rate	NOUN
ajst-20172	73	5	decay	decay	NOUN
ajst-20172	73	6	is	be	AUX
ajst-20172	73	7	applied	apply	VERB
ajst-20172	73	8	,	,	PUNCT
ajst-20172	73	9	gradually	gradually	ADV
ajst-20172	73	10	reducing	reduce	VERB
ajst-20172	73	11	the	the	DET
ajst-20172	73	12	rate	rate	NOUN
ajst-20172	73	13	throughout	throughout	ADP
ajst-20172	73	14	training	training	NOUN
ajst-20172	73	15	to	to	PART
ajst-20172	73	16	enhance	enhance	VERB
ajst-20172	73	17	the	the	DET
ajst-20172	73	18	model	model	NOUN
ajst-20172	73	19	's	's	PART
ajst-20172	73	20	generalization	generalization	NOUN
ajst-20172	73	21	capacity	capacity	NOUN
ajst-20172	73	22	.	.	PUNCT
ajst-20172	74	1	an	an	DET
ajst-20172	74	2	early	early	ADJ
ajst-20172	74	3	stopping	stopping	NOUN
ajst-20172	74	4	strategy	strategy	NOUN
ajst-20172	74	5	is	be	AUX
ajst-20172	74	6	also	also	ADV
ajst-20172	74	7	employed	employ	VERB
ajst-20172	74	8	,	,	PUNCT
ajst-20172	74	9	wherein	wherein	SCONJ
ajst-20172	74	10	the	the	DET
ajst-20172	74	11	loss	loss	NOUN
ajst-20172	74	12	value	value	NOUN
ajst-20172	74	13	on	on	ADP
ajst-20172	74	14	the	the	DET
ajst-20172	74	15	validation	validation	NOUN
ajst-20172	74	16	set	set	NOUN
ajst-20172	74	17	is	be	AUX
ajst-20172	74	18	monitored	monitor	VERB
ajst-20172	74	19	,	,	PUNCT
ajst-20172	74	20	halting	halt	VERB
ajst-20172	74	21	training	training	NOUN
ajst-20172	74	22	when	when	SCONJ
ajst-20172	74	23	the	the	DET
ajst-20172	74	24	loss	loss	NOUN
ajst-20172	74	25	no	no	ADV
ajst-20172	74	26	longer	long	ADV
ajst-20172	74	27	decreases	decrease	VERB
ajst-20172	74	28	to	to	PART
ajst-20172	74	29	thwart	thwart	VERB
ajst-20172	74	30	overfitting	overfitte	VERB
ajst-20172	74	31	.	.	PUNCT
ajst-20172	75	1	through	through	ADP
ajst-20172	75	2	this	this	DET
ajst-20172	75	3	training	training	NOUN
ajst-20172	75	4	regimen	regiman	NOUN
ajst-20172	75	5	and	and	CCONJ
ajst-20172	75	6	strategy	strategy	NOUN
ajst-20172	75	7	,	,	PUNCT
ajst-20172	75	8	dl	dl	PROPN
ajst-20172	75	9	models	model	NOUN
ajst-20172	75	10	can	can	AUX
ajst-20172	75	11	be	be	AUX
ajst-20172	75	12	effectively	effectively	ADV
ajst-20172	75	13	trained	train	VERB
ajst-20172	75	14	,	,	PUNCT
ajst-20172	75	15	yielding	yield	VERB
ajst-20172	75	16	commendable	commendable	ADJ
ajst-20172	75	17	performance	performance	NOUN
ajst-20172	75	18	and	and	CCONJ
ajst-20172	75	19	generalization	generalization	NOUN
ajst-20172	75	20	capabilities	capability	NOUN
ajst-20172	75	21	.	.	PUNCT
ajst-20172	76	1	4	4	X
ajst-20172	76	2	.	.	X
ajst-20172	76	3	analysis	analysis	NOUN
ajst-20172	76	4	of	of	ADP
ajst-20172	76	5	experimental	experimental	ADJ
ajst-20172	76	6	results	result	NOUN
ajst-20172	76	7	the	the	DET
ajst-20172	76	8	experiment	experiment	NOUN
ajst-20172	76	9	was	be	AUX
ajst-20172	76	10	carried	carry	VERB
ajst-20172	76	11	out	out	ADP
ajst-20172	76	12	on	on	ADP
ajst-20172	76	13	a	a	DET
ajst-20172	76	14	server	server	NOUN
ajst-20172	76	15	equipped	equip	VERB
ajst-20172	76	16	with	with	ADP
ajst-20172	76	17	nvidia	nvidia	PROPN
ajst-20172	76	18	rtx	rtx	PROPN
ajst-20172	76	19	3090	3090	NUM
ajst-20172	76	20	gpu	gpu	NOUN
ajst-20172	76	21	.	.	PUNCT
ajst-20172	77	1	we	we	PRON
ajst-20172	77	2	use	use	VERB
ajst-20172	77	3	python	python	NOUN
ajst-20172	77	4	programming	programming	NOUN
ajst-20172	77	5	language	language	NOUN
ajst-20172	77	6	and	and	CCONJ
ajst-20172	77	7	pytorchdl	pytorchdl	ADJ
ajst-20172	77	8	framework	framework	NOUN
ajst-20172	77	9	to	to	PART
ajst-20172	77	10	realize	realize	VERB
ajst-20172	77	11	our	our	PRON
ajst-20172	77	12	model	model	NOUN
ajst-20172	77	13	,	,	PUNCT
ajst-20172	77	14	and	and	CCONJ
ajst-20172	77	15	use	use	VERB
ajst-20172	77	16	the	the	DET
ajst-20172	77	17	medical	medical	ADJ
ajst-20172	77	18	image	image	NOUN
ajst-20172	77	19	data	datum	NOUN
ajst-20172	77	20	set	set	VERB
ajst-20172	77	21	mentioned	mention	VERB
ajst-20172	77	22	above	above	ADV
ajst-20172	77	23	for	for	ADP
ajst-20172	77	24	training	training	NOUN
ajst-20172	77	25	and	and	CCONJ
ajst-20172	77	26	evaluation	evaluation	NOUN
ajst-20172	77	27	.	.	PUNCT
ajst-20172	78	1	dice	dice	NOUN
ajst-20172	78	2	coefficient	coefficient	NOUN
ajst-20172	78	3	and	and	CCONJ
ajst-20172	78	4	iou(intersection	iou(intersection	NOUN
ajst-20172	78	5	over	over	ADP
ajst-20172	78	6	union	union	NOUN
ajst-20172	78	7	)	)	PUNCT
ajst-20172	78	8	index	index	NOUN
ajst-20172	78	9	are	be	AUX
ajst-20172	78	10	used	use	VERB
ajst-20172	78	11	to	to	PART
ajst-20172	78	12	evaluate	evaluate	VERB
ajst-20172	78	13	the	the	DET
ajst-20172	78	14	segmentation	segmentation	NOUN
ajst-20172	78	15	performance	performance	NOUN
ajst-20172	78	16	.	.	PUNCT
ajst-20172	79	1	our	our	PRON
ajst-20172	79	2	model	model	NOUN
ajst-20172	79	3	has	have	AUX
ajst-20172	79	4	achieved	achieve	VERB
ajst-20172	79	5	good	good	ADJ
ajst-20172	79	6	performance	performance	NOUN
ajst-20172	79	7	on	on	ADP
ajst-20172	79	8	test	test	NOUN
ajst-20172	79	9	data	datum	NOUN
ajst-20172	79	10	sets	set	NOUN
ajst-20172	79	11	,	,	PUNCT
ajst-20172	79	12	which	which	PRON
ajst-20172	79	13	is	be	AUX
ajst-20172	79	14	obviously	obviously	ADV
ajst-20172	79	15	superior	superior	ADJ
ajst-20172	79	16	to	to	ADP
ajst-20172	79	17	the	the	DET
ajst-20172	79	18	benchmark	benchmark	NOUN
ajst-20172	79	19	model	model	NOUN
ajst-20172	79	20	.	.	PUNCT
ajst-20172	80	1	as	as	SCONJ
ajst-20172	80	2	can	can	AUX
ajst-20172	80	3	be	be	AUX
ajst-20172	80	4	seen	see	VERB
ajst-20172	80	5	from	from	ADP
ajst-20172	80	6	table	table	NOUN
ajst-20172	80	7	1	1	NUM
ajst-20172	80	8	,	,	PUNCT
ajst-20172	80	9	our	our	PRON
ajst-20172	80	10	model	model	NOUN
ajst-20172	80	11	is	be	AUX
ajst-20172	80	12	significantly	significantly	ADV
ajst-20172	80	13	superior	superior	ADJ
ajst-20172	80	14	to	to	ADP
ajst-20172	80	15	several	several	ADJ
ajst-20172	80	16	benchmark	benchmark	NOUN
ajst-20172	80	17	models	model	NOUN
ajst-20172	80	18	in	in	ADP
ajst-20172	80	19	dice	dice	NOUN
ajst-20172	80	20	coefficient	coefficient	NOUN
ajst-20172	80	21	and	and	CCONJ
ajst-20172	80	22	iou	iou	PROPN
ajst-20172	80	23	index	index	PROPN
ajst-20172	80	24	,	,	PUNCT
ajst-20172	80	25	which	which	PRON
ajst-20172	80	26	proves	prove	VERB
ajst-20172	80	27	the	the	DET
ajst-20172	80	28	superiority	superiority	NOUN
ajst-20172	80	29	of	of	ADP
ajst-20172	80	30	our	our	PRON
ajst-20172	80	31	model	model	NOUN
ajst-20172	80	32	in	in	ADP
ajst-20172	80	33	the	the	DET
ajst-20172	80	34	task	task	NOUN
ajst-20172	80	35	of	of	ADP
ajst-20172	80	36	mis	mis	PROPN
ajst-20172	80	37	.	.	PROPN
ajst-20172	80	38	table	table	PROPN
ajst-20172	81	1	1	1	NUM
ajst-20172	81	2	.	.	PUNCT
ajst-20172	81	3	segmentation	segmentation	NOUN
ajst-20172	81	4	performance	performance	NOUN
ajst-20172	81	5	model	model	NOUN
ajst-20172	81	6	dice	dice	NOUN
ajst-20172	81	7	coefficient	coefficient	NOUN
ajst-20172	81	8	(	(	PUNCT
ajst-20172	81	9	%	%	INTJ
ajst-20172	81	10	)	)	PUNCT
ajst-20172	81	11	iou	iou	NOUN
ajst-20172	81	12	(	(	PUNCT
ajst-20172	81	13	%	%	INTJ
ajst-20172	81	14	)	)	PUNCT
ajst-20172	81	15	our	our	PRON
ajst-20172	81	16	model	model	NOUN
ajst-20172	81	17	85.3	85.3	NUM
ajst-20172	81	18	78.9	78.9	NUM
ajst-20172	81	19	u	u	NOUN
ajst-20172	81	20	-	-	NOUN
ajst-20172	81	21	net	net	ADJ
ajst-20172	81	22	79.6	79.6	NUM
ajst-20172	81	23	72.2	72.2	NUM
ajst-20172	81	24	fcn	fcn	NOUN
ajst-20172	81	25	76.8	76.8	NUM
ajst-20172	81	26	69.5	69.5	NUM
ajst-20172	81	27	segnet	segnet	NOUN
ajst-20172	81	28	74.2	74.2	NUM
ajst-20172	81	29	67.8	67.8	NUM
ajst-20172	81	30	deeplabv3	deeplabv3	NOUN
ajst-20172	81	31	81.5	81.5	NUM
ajst-20172	81	32	75.6	75.6	NUM
ajst-20172	81	33	pspnet	pspnet	NOUN
ajst-20172	81	34	83.2	83.2	NUM
ajst-20172	81	35	76.8	76.8	NUM
ajst-20172	81	36	unet++	unet++	NOUN
ajst-20172	81	37	84.6	84.6	NUM
ajst-20172	81	38	77.5	77.5	NUM
ajst-20172	81	39	our	our	PRON
ajst-20172	81	40	model	model	NOUN
ajst-20172	81	41	shows	show	VERB
ajst-20172	81	42	excellent	excellent	ADJ
ajst-20172	81	43	performance	performance	NOUN
ajst-20172	81	44	on	on	ADP
ajst-20172	81	45	the	the	DET
ajst-20172	81	46	test	test	NOUN
ajst-20172	81	47	data	datum	NOUN
ajst-20172	81	48	set	set	VERB
ajst-20172	81	49	,	,	PUNCT
ajst-20172	81	50	with	with	ADP
ajst-20172	81	51	a	a	DET
ajst-20172	81	52	dice	dice	NOUN
ajst-20172	81	53	coefficient	coefficient	NOUN
ajst-20172	81	54	of	of	ADP
ajst-20172	81	55	85.3	85.3	NUM
ajst-20172	81	56	%	%	NOUN
ajst-20172	81	57	and	and	CCONJ
ajst-20172	81	58	an	an	DET
ajst-20172	81	59	iou	iou	NOUN
ajst-20172	81	60	of	of	ADP
ajst-20172	81	61	78.9	78.9	NUM
ajst-20172	81	62	%	%	NOUN
ajst-20172	81	63	,	,	PUNCT
ajst-20172	81	64	which	which	PRON
ajst-20172	81	65	shows	show	VERB
ajst-20172	81	66	that	that	SCONJ
ajst-20172	81	67	our	our	PRON
ajst-20172	81	68	model	model	NOUN
ajst-20172	81	69	can	can	AUX
ajst-20172	81	70	accurately	accurately	ADV
ajst-20172	81	71	segment	segment	VERB
ajst-20172	81	72	the	the	DET
ajst-20172	81	73	key	key	ADJ
ajst-20172	81	74	structures	structure	NOUN
ajst-20172	81	75	and	and	CCONJ
ajst-20172	81	76	lesion	lesion	NOUN
ajst-20172	81	77	areas	area	NOUN
ajst-20172	81	78	in	in	ADP
ajst-20172	81	79	medical	medical	ADJ
ajst-20172	81	80	images	image	NOUN
ajst-20172	81	81	.	.	PUNCT
ajst-20172	82	1	this	this	PRON
ajst-20172	82	2	is	be	AUX
ajst-20172	82	3	due	due	ADJ
ajst-20172	82	4	to	to	ADP
ajst-20172	82	5	the	the	DET
ajst-20172	82	6	introduction	introduction	NOUN
ajst-20172	82	7	of	of	ADP
ajst-20172	82	8	attention	attention	NOUN
ajst-20172	82	9	mechanism	mechanism	NOUN
ajst-20172	82	10	and	and	CCONJ
ajst-20172	82	11	self	self	NOUN
ajst-20172	82	12	-	-	PUNCT
ajst-20172	82	13	attention	attention	NOUN
ajst-20172	82	14	unet	unet	NOUN
ajst-20172	82	15	structure	structure	NOUN
ajst-20172	82	16	,	,	PUNCT
ajst-20172	82	17	which	which	PRON
ajst-20172	82	18	makes	make	VERB
ajst-20172	82	19	the	the	DET
ajst-20172	82	20	model	model	NOUN
ajst-20172	82	21	pay	pay	VERB
ajst-20172	82	22	more	more	ADJ
ajst-20172	82	23	attention	attention	NOUN
ajst-20172	82	24	to	to	ADP
ajst-20172	82	25	important	important	ADJ
ajst-20172	82	26	areas	area	NOUN
ajst-20172	82	27	.	.	PUNCT
ajst-20172	83	1	in	in	ADP
ajst-20172	83	2	contrast	contrast	NOUN
ajst-20172	83	3	,	,	PUNCT
ajst-20172	83	4	the	the	DET
ajst-20172	83	5	performance	performance	NOUN
ajst-20172	83	6	of	of	ADP
ajst-20172	83	7	several	several	ADJ
ajst-20172	83	8	benchmark	benchmark	NOUN
ajst-20172	83	9	models	model	NOUN
ajst-20172	83	10	is	be	AUX
ajst-20172	83	11	obviously	obviously	ADV
ajst-20172	83	12	lower	low	ADJ
ajst-20172	83	13	than	than	ADP
ajst-20172	83	14	our	our	PRON
ajst-20172	83	15	model	model	NOUN
ajst-20172	83	16	.	.	PUNCT
ajst-20172	84	1	among	among	ADP
ajst-20172	84	2	them	they	PRON
ajst-20172	84	3	,	,	PUNCT
ajst-20172	84	4	u	u	NOUN
ajst-20172	84	5	-	-	ADJ
ajst-20172	84	6	net	net	ADJ
ajst-20172	84	7	model	model	NOUN
ajst-20172	84	8	is	be	AUX
ajst-20172	84	9	one	one	NUM
ajst-20172	84	10	of	of	ADP
ajst-20172	84	11	the	the	DET
ajst-20172	84	12	most	most	ADV
ajst-20172	84	13	commonly	commonly	ADV
ajst-20172	84	14	used	use	VERB
ajst-20172	84	15	models	model	NOUN
ajst-20172	84	16	for	for	ADP
ajst-20172	84	17	mis	mis	NOUN
ajst-20172	84	18	,	,	PUNCT
ajst-20172	84	19	but	but	CCONJ
ajst-20172	84	20	in	in	ADP
ajst-20172	84	21	our	our	PRON
ajst-20172	84	22	experiment	experiment	NOUN
ajst-20172	84	23	,	,	PUNCT
ajst-20172	84	24	it	it	PRON
ajst-20172	84	25	only	only	ADV
ajst-20172	84	26	reaches	reach	VERB
ajst-20172	84	27	79.6	79.6	NUM
ajst-20172	84	28	%	%	NOUN
ajst-20172	84	29	dice	dice	NOUN
ajst-20172	84	30	coefficient	coefficient	NOUN
ajst-20172	84	31	and	and	CCONJ
ajst-20172	84	32	72.2	72.2	NUM
ajst-20172	84	33	%	%	NOUN
ajst-20172	84	34	iou	iou	NOUN
ajst-20172	84	35	.	.	PUNCT
ajst-20172	84	36	other	other	ADJ
ajst-20172	84	37	benchmark	benchmark	NOUN
ajst-20172	84	38	models	model	NOUN
ajst-20172	84	39	,	,	PUNCT
ajst-20172	84	40	such	such	ADJ
ajst-20172	84	41	as	as	ADP
ajst-20172	84	42	fcn	fcn	PROPN
ajst-20172	84	43	,	,	PUNCT
ajst-20172	84	44	segnet	segnet	NOUN
ajst-20172	84	45	,	,	PUNCT
ajst-20172	84	46	deeplabv3	deeplabv3	NOUN
ajst-20172	84	47	,	,	PUNCT
ajst-20172	84	48	etc	etc	X
ajst-20172	84	49	.	.	X
ajst-20172	84	50	,	,	PUNCT
ajst-20172	84	51	also	also	ADV
ajst-20172	84	52	show	show	VERB
ajst-20172	84	53	a	a	DET
ajst-20172	84	54	similar	similar	ADJ
ajst-20172	84	55	trend	trend	NOUN
ajst-20172	84	56	,	,	PUNCT
ajst-20172	84	57	and	and	CCONJ
ajst-20172	84	58	the	the	DET
ajst-20172	84	59	segmentation	segmentation	NOUN
ajst-20172	84	60	performance	performance	NOUN
ajst-20172	84	61	is	be	AUX
ajst-20172	84	62	not	not	PART
ajst-20172	84	63	as	as	ADV
ajst-20172	84	64	good	good	ADJ
ajst-20172	84	65	as	as	ADP
ajst-20172	84	66	our	our	PRON
ajst-20172	84	67	model	model	NOUN
ajst-20172	84	68	.	.	PUNCT
ajst-20172	85	1	our	our	PRON
ajst-20172	85	2	model	model	NOUN
ajst-20172	85	3	adopts	adopt	VERB
ajst-20172	85	4	self	self	NOUN
ajst-20172	85	5	-	-	PUNCT
ajst-20172	85	6	attention	attention	NOUN
ajst-20172	85	7	mechanism	mechanism	NOUN
ajst-20172	85	8	and	and	CCONJ
ajst-20172	85	9	u	u	NOUN
ajst-20172	85	10	-	-	ADJ
ajst-20172	85	11	net	net	ADJ
ajst-20172	85	12	structure	structure	NOUN
ajst-20172	85	13	,	,	PUNCT
ajst-20172	85	14	which	which	PRON
ajst-20172	85	15	can	can	AUX
ajst-20172	85	16	better	well	ADV
ajst-20172	85	17	capture	capture	VERB
ajst-20172	85	18	the	the	DET
ajst-20172	85	19	image	image	NOUN
ajst-20172	85	20	features	feature	VERB
ajst-20172	85	21	and	and	CCONJ
ajst-20172	85	22	context	context	NOUN
ajst-20172	85	23	information	information	NOUN
ajst-20172	85	24	,	,	PUNCT
ajst-20172	85	25	thus	thus	ADV
ajst-20172	85	26	improving	improve	VERB
ajst-20172	85	27	the	the	DET
ajst-20172	85	28	segmentation	segmentation	NOUN
ajst-20172	85	29	accuracy	accuracy	NOUN
ajst-20172	85	30	.	.	PUNCT
ajst-20172	86	1	the	the	DET
ajst-20172	86	2	hyperparameters	hyperparameter	NOUN
ajst-20172	86	3	of	of	ADP
ajst-20172	86	4	the	the	DET
ajst-20172	86	5	model	model	NOUN
ajst-20172	86	6	are	be	AUX
ajst-20172	86	7	optimized	optimize	VERB
ajst-20172	86	8	,	,	PUNCT
ajst-20172	86	9	and	and	CCONJ
ajst-20172	86	10	appropriate	appropriate	ADJ
ajst-20172	86	11	loss	loss	NOUN
ajst-20172	86	12	function	function	NOUN
ajst-20172	86	13	and	and	CCONJ
ajst-20172	86	14	optimizer	optimizer	NOUN
ajst-20172	86	15	are	be	AUX
ajst-20172	86	16	adopted	adopt	VERB
ajst-20172	86	17	,	,	PUNCT
ajst-20172	86	18	so	so	SCONJ
ajst-20172	86	19	that	that	SCONJ
ajst-20172	86	20	the	the	DET
ajst-20172	86	21	model	model	NOUN
ajst-20172	86	22	can	can	AUX
ajst-20172	86	23	learn	learn	VERB
ajst-20172	86	24	feature	feature	NOUN
ajst-20172	86	25	representation	representation	NOUN
ajst-20172	86	26	more	more	ADV
ajst-20172	86	27	effectively	effectively	ADV
ajst-20172	86	28	.	.	PUNCT
ajst-20172	87	1	in	in	ADP
ajst-20172	87	2	the	the	DET
ajst-20172	87	3	data	data	NOUN
ajst-20172	87	4	preprocessing	preprocessing	NOUN
ajst-20172	87	5	stage	stage	NOUN
ajst-20172	87	6	,	,	PUNCT
ajst-20172	87	7	the	the	DET
ajst-20172	87	8	effective	effective	ADJ
ajst-20172	87	9	enhancement	enhancement	NOUN
ajst-20172	87	10	operation	operation	NOUN
ajst-20172	87	11	is	be	AUX
ajst-20172	87	12	carried	carry	VERB
ajst-20172	87	13	out	out	ADP
ajst-20172	87	14	,	,	PUNCT
ajst-20172	87	15	which	which	PRON
ajst-20172	87	16	enhances	enhance	VERB
ajst-20172	87	17	the	the	DET
ajst-20172	87	18	robustness	robustness	NOUN
ajst-20172	87	19	and	and	CCONJ
ajst-20172	87	20	generalization	generalization	NOUN
ajst-20172	87	21	ability	ability	NOUN
ajst-20172	87	22	of	of	ADP
ajst-20172	87	23	the	the	DET
ajst-20172	87	24	model	model	NOUN
ajst-20172	87	25	and	and	CCONJ
ajst-20172	87	26	helps	help	VERB
ajst-20172	87	27	to	to	PART
ajst-20172	87	28	improve	improve	VERB
ajst-20172	87	29	the	the	DET
ajst-20172	87	30	segmentation	segmentation	NOUN
ajst-20172	87	31	performance	performance	NOUN
ajst-20172	87	32	.	.	PUNCT
ajst-20172	88	1	our	our	PRON
ajst-20172	88	2	model	model	NOUN
ajst-20172	88	3	shows	show	VERB
ajst-20172	88	4	obvious	obvious	ADJ
ajst-20172	88	5	advantages	advantage	NOUN
ajst-20172	88	6	in	in	ADP
ajst-20172	88	7	the	the	DET
ajst-20172	88	8	task	task	NOUN
ajst-20172	88	9	of	of	ADP
ajst-20172	88	10	mis	mis	PROPN
ajst-20172	88	11	,	,	PUNCT
ajst-20172	88	12	with	with	ADP
ajst-20172	88	13	high	high	ADJ
ajst-20172	88	14	accuracy	accuracy	NOUN
ajst-20172	88	15	and	and	CCONJ
ajst-20172	88	16	robustness	robustness	NOUN
ajst-20172	88	17	,	,	PUNCT
ajst-20172	88	18	and	and	CCONJ
ajst-20172	88	19	is	be	AUX
ajst-20172	88	20	suitable	suitable	ADJ
ajst-20172	88	21	for	for	ADP
ajst-20172	88	22	practical	practical	ADJ
ajst-20172	88	23	medical	medical	ADJ
ajst-20172	88	24	image	image	NOUN
ajst-20172	88	25	analysis	analysis	NOUN
ajst-20172	88	26	and	and	CCONJ
ajst-20172	88	27	clinical	clinical	ADJ
ajst-20172	88	28	application	application	NOUN
ajst-20172	88	29	.	.	PUNCT
ajst-20172	89	1	our	our	PRON
ajst-20172	89	2	research	research	NOUN
ajst-20172	89	3	provides	provide	VERB
ajst-20172	89	4	beneficial	beneficial	ADJ
ajst-20172	89	5	enlightenment	enlightenment	NOUN
ajst-20172	89	6	for	for	ADP
ajst-20172	89	7	improving	improve	VERB
ajst-20172	89	8	mis	mis	NOUN
ajst-20172	89	9	technology	technology	NOUN
ajst-20172	89	10	,	,	PUNCT
ajst-20172	89	11	and	and	CCONJ
ajst-20172	89	12	has	have	VERB
ajst-20172	89	13	important	important	ADJ
ajst-20172	89	14	practical	practical	ADJ
ajst-20172	89	15	application	application	NOUN
ajst-20172	89	16	value	value	NOUN
ajst-20172	89	17	.	.	PUNCT
ajst-20172	90	1	our	our	PRON
ajst-20172	90	2	model	model	NOUN
ajst-20172	90	3	shows	show	VERB
ajst-20172	90	4	excellent	excellent	ADJ
ajst-20172	90	5	performance	performance	NOUN
ajst-20172	90	6	in	in	ADP
ajst-20172	90	7	the	the	DET
ajst-20172	90	8	task	task	NOUN
ajst-20172	90	9	of	of	ADP
ajst-20172	90	10	mis	mis	PROPN
ajst-20172	90	11	,	,	PUNCT
ajst-20172	90	12	which	which	PRON
ajst-20172	90	13	is	be	AUX
ajst-20172	90	14	obviously	obviously	ADV
ajst-20172	90	15	superior	superior	ADJ
ajst-20172	90	16	to	to	ADP
ajst-20172	90	17	several	several	ADJ
ajst-20172	90	18	benchmark	benchmark	NOUN
ajst-20172	90	19	models	model	NOUN
ajst-20172	90	20	.	.	PUNCT
ajst-20172	91	1	this	this	DET
ajst-20172	91	2	result	result	NOUN
ajst-20172	91	3	is	be	AUX
ajst-20172	91	4	of	of	ADP
ajst-20172	91	5	great	great	ADJ
ajst-20172	91	6	significance	significance	NOUN
ajst-20172	91	7	for	for	ADP
ajst-20172	91	8	improving	improve	VERB
ajst-20172	91	9	the	the	DET
ajst-20172	91	10	accuracy	accuracy	NOUN
ajst-20172	91	11	and	and	CCONJ
ajst-20172	91	12	efficiency	efficiency	NOUN
ajst-20172	91	13	of	of	ADP
ajst-20172	91	14	medical	medical	ADJ
ajst-20172	91	15	image	image	NOUN
ajst-20172	91	16	analysis	analysis	NOUN
ajst-20172	91	17	and	and	CCONJ
ajst-20172	91	18	promoting	promote	VERB
ajst-20172	91	19	the	the	DET
ajst-20172	91	20	development	development	NOUN
ajst-20172	91	21	and	and	CCONJ
ajst-20172	91	22	application	application	NOUN
ajst-20172	91	23	of	of	ADP
ajst-20172	91	24	medical	medical	ADJ
ajst-20172	91	25	imaging	imaging	NOUN
ajst-20172	91	26	technology	technology	NOUN
ajst-20172	91	27	.	.	PUNCT
ajst-20172	92	1	mse	mse	PROPN
ajst-20172	92	2	(	(	PUNCT
ajst-20172	92	3	mean	mean	VERB
ajst-20172	92	4	squared	square	VERB
ajst-20172	92	5	error	error	NOUN
ajst-20172	92	6	)	)	PUNCT
ajst-20172	92	7	and	and	CCONJ
ajst-20172	92	8	ssim	ssim	NOUN
ajst-20172	92	9	(	(	PUNCT
ajst-20172	92	10	structural	structural	ADJ
ajst-20172	92	11	similarity	similarity	NOUN
ajst-20172	92	12	index	index	NOUN
ajst-20172	92	13	)	)	PUNCT
ajst-20172	92	14	are	be	AUX
ajst-20172	92	15	used	use	VERB
ajst-20172	92	16	to	to	PART
ajst-20172	92	17	evaluate	evaluate	VERB
ajst-20172	92	18	the	the	DET
ajst-20172	92	19	quality	quality	NOUN
ajst-20172	92	20	of	of	ADP
ajst-20172	92	21	3d	3d	PROPN
ajst-20172	92	22	reconstruction	reconstruction	NOUN
ajst-20172	92	23	.	.	PUNCT
ajst-20172	93	1	the	the	DET
ajst-20172	93	2	experimental	experimental	ADJ
ajst-20172	93	3	results	result	NOUN
ajst-20172	93	4	show	show	VERB
ajst-20172	93	5	that	that	SCONJ
ajst-20172	93	6	our	our	PRON
ajst-20172	93	7	model	model	NOUN
ajst-20172	93	8	performs	perform	VERB
ajst-20172	93	9	better	well	ADV
ajst-20172	93	10	in	in	ADP
ajst-20172	93	11	reconstruction	reconstruction	NOUN
ajst-20172	93	12	quality	quality	NOUN
ajst-20172	93	13	,	,	PUNCT
ajst-20172	93	14	with	with	ADP
ajst-20172	93	15	smaller	small	ADJ
ajst-20172	93	16	mse	mse	NOUN
ajst-20172	93	17	and	and	CCONJ
ajst-20172	93	18	higher	high	ADJ
ajst-20172	93	19	ssim	ssim	NOUN
ajst-20172	93	20	value	value	NOUN
ajst-20172	93	21	(	(	PUNCT
ajst-20172	93	22	table	table	NOUN
ajst-20172	93	23	2	2	NUM
ajst-20172	93	24	)	)	PUNCT
ajst-20172	93	25	.	.	PUNCT
ajst-20172	94	1	table	table	NOUN
ajst-20172	95	1	2	2	NUM
ajst-20172	95	2	.	.	X
ajst-20172	95	3	3d	3d	NUM
ajst-20172	95	4	reconstruction	reconstruction	NOUN
ajst-20172	95	5	quality	quality	NOUN
ajst-20172	95	6	model	model	NOUN
ajst-20172	95	7	mse	mse	NOUN
ajst-20172	95	8	ssim	ssim	NOUN
ajst-20172	95	9	our	our	PRON
ajst-20172	95	10	model	model	NOUN
ajst-20172	95	11	0.015	0.015	NUM
ajst-20172	95	12	0.94	0.94	NUM
ajst-20172	95	13	u	u	NOUN
ajst-20172	95	14	-	-	NOUN
ajst-20172	95	15	net	net	ADJ
ajst-20172	95	16	0.022	0.022	NUM
ajst-20172	95	17	0.90	0.90	NUM
ajst-20172	95	18	fcn	fcn	NOUN
ajst-20172	95	19	0.025	0.025	NUM
ajst-20172	95	20	0.88	0.88	NUM
ajst-20172	95	21	segnet	segnet	NOUN
ajst-20172	95	22	0.027	0.027	NUM
ajst-20172	95	23	0.86	0.86	NUM
ajst-20172	95	24	deeplabv3	deeplabv3	NOUN
ajst-20172	95	25	0.020	0.020	NUM
ajst-20172	95	26	0.92	0.92	NUM
ajst-20172	95	27	pspnet	pspnet	NOUN
ajst-20172	95	28	0.018	0.018	NUM
ajst-20172	95	29	0.93	0.93	NUM
ajst-20172	95	30	unet++	unet++	PROPN
ajst-20172	95	31	0.021	0.021	NUM
ajst-20172	95	32	0.91	0.91	NUM
ajst-20172	95	33	twx	twx	NOUN
ajst-20172	96	1			NUM
ajst-20172	96	2	11	11	NUM
ajst-20172	96	3	our	our	PRON
ajst-20172	96	4	model	model	NOUN
ajst-20172	96	5	shows	show	VERB
ajst-20172	96	6	excellent	excellent	ADJ
ajst-20172	96	7	3d	3d	NUM
ajst-20172	96	8	reconstruction	reconstruction	NOUN
ajst-20172	96	9	quality	quality	NOUN
ajst-20172	96	10	on	on	ADP
ajst-20172	96	11	test	test	NOUN
ajst-20172	96	12	data	datum	NOUN
ajst-20172	96	13	sets	set	NOUN
ajst-20172	96	14	,	,	PUNCT
ajst-20172	96	15	with	with	ADP
ajst-20172	96	16	smaller	small	ADJ
ajst-20172	96	17	mse	mse	NOUN
ajst-20172	96	18	and	and	CCONJ
ajst-20172	96	19	higher	high	ADJ
ajst-20172	96	20	ssim	ssim	NOUN
ajst-20172	96	21	.	.	PUNCT
ajst-20172	97	1	specifically	specifically	ADV
ajst-20172	97	2	,	,	PUNCT
ajst-20172	97	3	the	the	DET
ajst-20172	97	4	mse	mse	NOUN
ajst-20172	97	5	of	of	ADP
ajst-20172	97	6	our	our	PRON
ajst-20172	97	7	model	model	NOUN
ajst-20172	97	8	is	be	AUX
ajst-20172	97	9	0.015	0.015	NUM
ajst-20172	97	10	,	,	PUNCT
ajst-20172	97	11	and	and	CCONJ
ajst-20172	97	12	the	the	DET
ajst-20172	97	13	ssim	ssim	NOUN
ajst-20172	97	14	is	be	AUX
ajst-20172	97	15	0.94	0.94	NUM
ajst-20172	97	16	,	,	PUNCT
ajst-20172	97	17	which	which	PRON
ajst-20172	97	18	indicates	indicate	VERB
ajst-20172	97	19	that	that	SCONJ
ajst-20172	97	20	our	our	PRON
ajst-20172	97	21	model	model	NOUN
ajst-20172	97	22	can	can	AUX
ajst-20172	97	23	reconstruct	reconstruct	VERB
ajst-20172	97	24	the	the	DET
ajst-20172	97	25	3d	3d	NUM
ajst-20172	97	26	structure	structure	NOUN
ajst-20172	97	27	in	in	ADP
ajst-20172	97	28	the	the	DET
ajst-20172	97	29	medical	medical	ADJ
ajst-20172	97	30	image	image	NOUN
ajst-20172	97	31	more	more	ADV
ajst-20172	97	32	accurately	accurately	ADV
ajst-20172	97	33	and	and	CCONJ
ajst-20172	97	34	keep	keep	VERB
ajst-20172	97	35	the	the	DET
ajst-20172	97	36	structural	structural	ADJ
ajst-20172	97	37	information	information	NOUN
ajst-20172	97	38	similar	similar	ADJ
ajst-20172	97	39	to	to	ADP
ajst-20172	97	40	the	the	DET
ajst-20172	97	41	original	original	ADJ
ajst-20172	97	42	image	image	NOUN
ajst-20172	97	43	.	.	PUNCT
ajst-20172	98	1	in	in	ADP
ajst-20172	98	2	contrast	contrast	NOUN
ajst-20172	98	3	,	,	PUNCT
ajst-20172	98	4	the	the	DET
ajst-20172	98	5	3d	3d	PROPN
ajst-20172	98	6	reconstruction	reconstruction	NOUN
ajst-20172	98	7	quality	quality	NOUN
ajst-20172	98	8	of	of	ADP
ajst-20172	98	9	several	several	ADJ
ajst-20172	98	10	benchmark	benchmark	NOUN
ajst-20172	98	11	models	model	NOUN
ajst-20172	98	12	is	be	AUX
ajst-20172	98	13	obviously	obviously	ADV
ajst-20172	98	14	inferior	inferior	ADJ
ajst-20172	98	15	to	to	ADP
ajst-20172	98	16	our	our	PRON
ajst-20172	98	17	model	model	NOUN
ajst-20172	98	18	.	.	PUNCT
ajst-20172	99	1	take	take	VERB
ajst-20172	99	2	u	u	NOUN
ajst-20172	99	3	-	-	NOUN
ajst-20172	99	4	net	net	NOUN
ajst-20172	99	5	as	as	ADP
ajst-20172	99	6	an	an	DET
ajst-20172	99	7	example	example	NOUN
ajst-20172	99	8	,	,	PUNCT
ajst-20172	99	9	its	its	PRON
ajst-20172	99	10	mse	mse	NOUN
ajst-20172	99	11	and	and	CCONJ
ajst-20172	99	12	ssim	ssim	NOUN
ajst-20172	99	13	indexes	index	NOUN
ajst-20172	99	14	are	be	AUX
ajst-20172	99	15	0.022	0.022	NUM
ajst-20172	99	16	and	and	CCONJ
ajst-20172	99	17	0.90	0.90	NUM
ajst-20172	99	18	respectively	respectively	ADV
ajst-20172	99	19	,	,	PUNCT
ajst-20172	99	20	and	and	CCONJ
ajst-20172	99	21	its	its	PRON
ajst-20172	99	22	performance	performance	NOUN
ajst-20172	99	23	is	be	AUX
ajst-20172	99	24	poor	poor	ADJ
ajst-20172	99	25	.	.	PUNCT
ajst-20172	100	1	other	other	ADJ
ajst-20172	100	2	benchmark	benchmark	NOUN
ajst-20172	100	3	models	model	NOUN
ajst-20172	100	4	,	,	PUNCT
ajst-20172	100	5	such	such	ADJ
ajst-20172	100	6	as	as	ADP
ajst-20172	100	7	fcn	fcn	PROPN
ajst-20172	100	8	,	,	PUNCT
ajst-20172	100	9	segnet	segnet	NOUN
ajst-20172	100	10	,	,	PUNCT
ajst-20172	100	11	deeplabv3	deeplabv3	NOUN
ajst-20172	100	12	,	,	PUNCT
ajst-20172	100	13	etc	etc	X
ajst-20172	100	14	.	.	X
ajst-20172	100	15	,	,	PUNCT
ajst-20172	100	16	also	also	ADV
ajst-20172	100	17	show	show	VERB
ajst-20172	100	18	a	a	DET
ajst-20172	100	19	similar	similar	ADJ
ajst-20172	100	20	trend	trend	NOUN
ajst-20172	100	21	,	,	PUNCT
ajst-20172	100	22	and	and	CCONJ
ajst-20172	100	23	the	the	DET
ajst-20172	100	24	reconstruction	reconstruction	NOUN
ajst-20172	100	25	quality	quality	NOUN
ajst-20172	100	26	is	be	AUX
ajst-20172	100	27	not	not	PART
ajst-20172	100	28	as	as	ADV
ajst-20172	100	29	good	good	ADJ
ajst-20172	100	30	as	as	ADP
ajst-20172	100	31	our	our	PRON
ajst-20172	100	32	model	model	NOUN
ajst-20172	100	33	.	.	PUNCT
ajst-20172	101	1	our	our	PRON
ajst-20172	101	2	model	model	NOUN
ajst-20172	101	3	adopts	adopt	VERB
ajst-20172	101	4	self	self	NOUN
ajst-20172	101	5	-	-	PUNCT
ajst-20172	101	6	attention	attention	NOUN
ajst-20172	101	7	mechanism	mechanism	NOUN
ajst-20172	101	8	and	and	CCONJ
ajst-20172	101	9	u	u	NOUN
ajst-20172	101	10	-	-	ADJ
ajst-20172	101	11	net	net	ADJ
ajst-20172	101	12	structure	structure	NOUN
ajst-20172	101	13	,	,	PUNCT
ajst-20172	101	14	which	which	PRON
ajst-20172	101	15	can	can	AUX
ajst-20172	101	16	better	well	ADV
ajst-20172	101	17	learn	learn	VERB
ajst-20172	101	18	image	image	NOUN
ajst-20172	101	19	features	feature	NOUN
ajst-20172	101	20	and	and	CCONJ
ajst-20172	101	21	context	context	NOUN
ajst-20172	101	22	information	information	NOUN
ajst-20172	101	23	,	,	PUNCT
ajst-20172	101	24	thus	thus	ADV
ajst-20172	101	25	improving	improve	VERB
ajst-20172	101	26	the	the	DET
ajst-20172	101	27	quality	quality	NOUN
ajst-20172	101	28	of	of	ADP
ajst-20172	101	29	reconstruction	reconstruction	NOUN
ajst-20172	101	30	.	.	PUNCT
ajst-20172	102	1	we	we	PRON
ajst-20172	102	2	optimized	optimize	VERB
ajst-20172	102	3	the	the	DET
ajst-20172	102	4	hyperparameters	hyperparameter	NOUN
ajst-20172	102	5	of	of	ADP
ajst-20172	102	6	the	the	DET
ajst-20172	102	7	model	model	NOUN
ajst-20172	102	8	,	,	PUNCT
ajst-20172	102	9	and	and	CCONJ
ajst-20172	102	10	adopted	adopt	VERB
ajst-20172	102	11	appropriate	appropriate	ADJ
ajst-20172	102	12	loss	loss	NOUN
ajst-20172	102	13	function	function	NOUN
ajst-20172	102	14	and	and	CCONJ
ajst-20172	102	15	optimizer	optimizer	NOUN
ajst-20172	102	16	,	,	PUNCT
ajst-20172	102	17	so	so	SCONJ
ajst-20172	102	18	that	that	SCONJ
ajst-20172	102	19	the	the	DET
ajst-20172	102	20	model	model	NOUN
ajst-20172	102	21	can	can	AUX
ajst-20172	102	22	learn	learn	VERB
ajst-20172	102	23	the	the	DET
ajst-20172	102	24	image	image	NOUN
ajst-20172	102	25	representation	representation	NOUN
ajst-20172	102	26	more	more	ADV
ajst-20172	102	27	effectively	effectively	ADV
ajst-20172	102	28	.	.	PUNCT
ajst-20172	103	1	in	in	ADP
ajst-20172	103	2	the	the	DET
ajst-20172	103	3	data	data	NOUN
ajst-20172	103	4	preprocessing	preprocessing	NOUN
ajst-20172	103	5	stage	stage	NOUN
ajst-20172	103	6	,	,	PUNCT
ajst-20172	103	7	effective	effective	ADJ
ajst-20172	103	8	enhancement	enhancement	NOUN
ajst-20172	103	9	operation	operation	NOUN
ajst-20172	103	10	is	be	AUX
ajst-20172	103	11	carried	carry	VERB
ajst-20172	103	12	out	out	ADP
ajst-20172	103	13	,	,	PUNCT
ajst-20172	103	14	which	which	PRON
ajst-20172	103	15	is	be	AUX
ajst-20172	103	16	helpful	helpful	ADJ
ajst-20172	103	17	to	to	PART
ajst-20172	103	18	improve	improve	VERB
ajst-20172	103	19	the	the	DET
ajst-20172	103	20	robustness	robustness	NOUN
ajst-20172	103	21	and	and	CCONJ
ajst-20172	103	22	generalization	generalization	NOUN
ajst-20172	103	23	ability	ability	NOUN
ajst-20172	103	24	of	of	ADP
ajst-20172	103	25	the	the	DET
ajst-20172	103	26	model	model	NOUN
ajst-20172	103	27	,	,	PUNCT
ajst-20172	103	28	and	and	CCONJ
ajst-20172	103	29	then	then	ADV
ajst-20172	103	30	improve	improve	VERB
ajst-20172	103	31	the	the	DET
ajst-20172	103	32	reconstruction	reconstruction	NOUN
ajst-20172	103	33	quality	quality	NOUN
ajst-20172	103	34	.	.	PUNCT
ajst-20172	104	1	our	our	PRON
ajst-20172	104	2	model	model	NOUN
ajst-20172	104	3	shows	show	VERB
ajst-20172	104	4	excellent	excellent	ADJ
ajst-20172	104	5	performance	performance	NOUN
ajst-20172	104	6	in	in	ADP
ajst-20172	104	7	3d	3d	PROPN
ajst-20172	104	8	reconstruction	reconstruction	NOUN
ajst-20172	104	9	task	task	NOUN
ajst-20172	104	10	,	,	PUNCT
ajst-20172	104	11	with	with	ADP
ajst-20172	104	12	higher	high	ADJ
ajst-20172	104	13	reconstruction	reconstruction	NOUN
ajst-20172	104	14	accuracy	accuracy	NOUN
ajst-20172	104	15	and	and	CCONJ
ajst-20172	104	16	fidelity	fidelity	NOUN
ajst-20172	104	17	,	,	PUNCT
ajst-20172	104	18	and	and	CCONJ
ajst-20172	104	19	is	be	AUX
ajst-20172	104	20	suitable	suitable	ADJ
ajst-20172	104	21	for	for	ADP
ajst-20172	104	22	3d	3d	NUM
ajst-20172	104	23	structural	structural	ADJ
ajst-20172	104	24	reconstruction	reconstruction	NOUN
ajst-20172	104	25	and	and	CCONJ
ajst-20172	104	26	analysis	analysis	NOUN
ajst-20172	104	27	of	of	ADP
ajst-20172	104	28	medical	medical	ADJ
ajst-20172	104	29	images	image	NOUN
ajst-20172	104	30	.	.	PUNCT
ajst-20172	105	1	this	this	DET
ajst-20172	105	2	result	result	NOUN
ajst-20172	105	3	is	be	AUX
ajst-20172	105	4	of	of	ADP
ajst-20172	105	5	great	great	ADJ
ajst-20172	105	6	significance	significance	NOUN
ajst-20172	105	7	for	for	ADP
ajst-20172	105	8	improving	improve	VERB
ajst-20172	105	9	the	the	DET
ajst-20172	105	10	accuracy	accuracy	NOUN
ajst-20172	105	11	and	and	CCONJ
ajst-20172	105	12	efficiency	efficiency	NOUN
ajst-20172	105	13	of	of	ADP
ajst-20172	105	14	medical	medical	ADJ
ajst-20172	105	15	image	image	NOUN
ajst-20172	105	16	analysis	analysis	NOUN
ajst-20172	105	17	and	and	CCONJ
ajst-20172	105	18	promoting	promote	VERB
ajst-20172	105	19	the	the	DET
ajst-20172	105	20	development	development	NOUN
ajst-20172	105	21	and	and	CCONJ
ajst-20172	105	22	application	application	NOUN
ajst-20172	105	23	of	of	ADP
ajst-20172	105	24	medical	medical	ADJ
ajst-20172	105	25	imaging	imaging	NOUN
ajst-20172	105	26	technology	technology	NOUN
ajst-20172	105	27	.	.	PUNCT
ajst-20172	106	1	5	5	X
ajst-20172	106	2	.	.	X
ajst-20172	106	3	conclusion	conclusion	NOUN
ajst-20172	106	4	in	in	ADP
ajst-20172	106	5	this	this	DET
ajst-20172	106	6	study	study	NOUN
ajst-20172	106	7	,	,	PUNCT
ajst-20172	106	8	the	the	DET
ajst-20172	106	9	application	application	NOUN
ajst-20172	106	10	of	of	ADP
ajst-20172	106	11	dl	dl	PROPN
ajst-20172	106	12	in	in	ADP
ajst-20172	106	13	mis	mis	PROPN
ajst-20172	106	14	and	and	CCONJ
ajst-20172	106	15	3d	3d	PROPN
ajst-20172	106	16	reconstruction	reconstruction	NOUN
ajst-20172	106	17	was	be	AUX
ajst-20172	106	18	deeply	deeply	ADV
ajst-20172	106	19	studied	study	VERB
ajst-20172	106	20	,	,	PUNCT
ajst-20172	106	21	and	and	CCONJ
ajst-20172	106	22	a	a	DET
ajst-20172	106	23	series	series	NOUN
ajst-20172	106	24	of	of	ADP
ajst-20172	106	25	important	important	ADJ
ajst-20172	106	26	results	result	NOUN
ajst-20172	106	27	were	be	AUX
ajst-20172	106	28	obtained	obtain	VERB
ajst-20172	106	29	.	.	PUNCT
ajst-20172	107	1	dl	dl	PROPN
ajst-20172	107	2	technology	technology	PROPN
ajst-20172	107	3	has	have	AUX
ajst-20172	107	4	achieved	achieve	VERB
ajst-20172	107	5	great	great	ADJ
ajst-20172	107	6	success	success	NOUN
ajst-20172	107	7	in	in	ADP
ajst-20172	107	8	the	the	DET
ajst-20172	107	9	field	field	NOUN
ajst-20172	107	10	of	of	ADP
ajst-20172	107	11	mis	mis	PROPN
ajst-20172	107	12	.	.	PUNCT
ajst-20172	108	1	the	the	DET
ajst-20172	108	2	model	model	NOUN
ajst-20172	108	3	based	base	VERB
ajst-20172	108	4	on	on	ADP
ajst-20172	108	5	self	self	NOUN
ajst-20172	108	6	-	-	PUNCT
ajst-20172	108	7	attention	attention	NOUN
ajst-20172	108	8	u	u	NOUN
ajst-20172	108	9	-	-	NOUN
ajst-20172	108	10	net	net	NOUN
ajst-20172	108	11	proposed	propose	VERB
ajst-20172	108	12	in	in	ADP
ajst-20172	108	13	this	this	DET
ajst-20172	108	14	paper	paper	NOUN
ajst-20172	108	15	shows	show	VERB
ajst-20172	108	16	significant	significant	ADJ
ajst-20172	108	17	advantages	advantage	NOUN
ajst-20172	108	18	in	in	ADP
ajst-20172	108	19	the	the	DET
ajst-20172	108	20	task	task	NOUN
ajst-20172	108	21	of	of	ADP
ajst-20172	108	22	mis	mis	PROPN
ajst-20172	108	23	,	,	PUNCT
ajst-20172	108	24	with	with	ADP
ajst-20172	108	25	higher	high	ADJ
ajst-20172	108	26	accuracy	accuracy	NOUN
ajst-20172	108	27	and	and	CCONJ
ajst-20172	108	28	robustness	robustness	NOUN
ajst-20172	108	29	.	.	PUNCT
ajst-20172	109	1	the	the	DET
ajst-20172	109	2	introduction	introduction	NOUN
ajst-20172	109	3	of	of	ADP
ajst-20172	109	4	attention	attention	NOUN
ajst-20172	109	5	mechanism	mechanism	NOUN
ajst-20172	109	6	makes	make	VERB
ajst-20172	109	7	the	the	DET
ajst-20172	109	8	model	model	NOUN
ajst-20172	109	9	pay	pay	VERB
ajst-20172	109	10	more	more	ADJ
ajst-20172	109	11	attention	attention	NOUN
ajst-20172	109	12	to	to	ADP
ajst-20172	109	13	important	important	ADJ
ajst-20172	109	14	areas	area	NOUN
ajst-20172	109	15	,	,	PUNCT
ajst-20172	109	16	thus	thus	ADV
ajst-20172	109	17	improving	improve	VERB
ajst-20172	109	18	the	the	DET
ajst-20172	109	19	accuracy	accuracy	NOUN
ajst-20172	109	20	and	and	CCONJ
ajst-20172	109	21	efficiency	efficiency	NOUN
ajst-20172	109	22	of	of	ADP
ajst-20172	109	23	segmentation	segmentation	NOUN
ajst-20172	109	24	.	.	PUNCT
ajst-20172	110	1	the	the	DET
ajst-20172	110	2	research	research	NOUN
ajst-20172	110	3	also	also	ADV
ajst-20172	110	4	proves	prove	VERB
ajst-20172	110	5	the	the	DET
ajst-20172	110	6	potential	potential	NOUN
ajst-20172	110	7	of	of	ADP
ajst-20172	110	8	dl	dl	PROPN
ajst-20172	110	9	in	in	ADP
ajst-20172	110	10	the	the	DET
ajst-20172	110	11	task	task	NOUN
ajst-20172	110	12	of	of	ADP
ajst-20172	110	13	3d	3d	PROPN
ajst-20172	110	14	reconstruction	reconstruction	NOUN
ajst-20172	110	15	of	of	ADP
ajst-20172	110	16	medical	medical	ADJ
ajst-20172	110	17	images	image	NOUN
ajst-20172	110	18	.	.	PUNCT
ajst-20172	111	1	our	our	PRON
ajst-20172	111	2	model	model	NOUN
ajst-20172	111	3	has	have	VERB
ajst-20172	111	4	excellent	excellent	ADJ
ajst-20172	111	5	3d	3d	NUM
ajst-20172	111	6	reconstruction	reconstruction	NOUN
ajst-20172	111	7	quality	quality	NOUN
ajst-20172	111	8	,	,	PUNCT
ajst-20172	111	9	higher	high	ADJ
ajst-20172	111	10	reconstruction	reconstruction	NOUN
ajst-20172	111	11	accuracy	accuracy	NOUN
ajst-20172	111	12	and	and	CCONJ
ajst-20172	111	13	structural	structural	ADJ
ajst-20172	111	14	fidelity	fidelity	NOUN
ajst-20172	111	15	.	.	PUNCT
ajst-20172	112	1	this	this	PRON
ajst-20172	112	2	provides	provide	VERB
ajst-20172	112	3	strong	strong	ADJ
ajst-20172	112	4	support	support	NOUN
ajst-20172	112	5	for	for	ADP
ajst-20172	112	6	3d	3d	NUM
ajst-20172	112	7	structural	structural	ADJ
ajst-20172	112	8	reconstruction	reconstruction	NOUN
ajst-20172	112	9	and	and	CCONJ
ajst-20172	112	10	analysis	analysis	NOUN
ajst-20172	112	11	of	of	ADP
ajst-20172	112	12	medical	medical	ADJ
ajst-20172	112	13	imaging	imaging	NOUN
ajst-20172	112	14	,	,	PUNCT
ajst-20172	112	15	and	and	CCONJ
ajst-20172	112	16	is	be	AUX
ajst-20172	112	17	expected	expect	VERB
ajst-20172	112	18	to	to	PART
ajst-20172	112	19	promote	promote	VERB
ajst-20172	112	20	the	the	DET
ajst-20172	112	21	further	further	ADJ
ajst-20172	112	22	development	development	NOUN
ajst-20172	112	23	of	of	ADP
ajst-20172	112	24	medical	medical	ADJ
ajst-20172	112	25	imaging	imaging	NOUN
ajst-20172	112	26	technology	technology	NOUN
ajst-20172	112	27	.	.	PUNCT
ajst-20172	113	1	although	although	SCONJ
ajst-20172	113	2	some	some	DET
ajst-20172	113	3	achievements	achievement	NOUN
ajst-20172	113	4	have	have	AUX
ajst-20172	113	5	been	be	AUX
ajst-20172	113	6	made	make	VERB
ajst-20172	113	7	in	in	ADP
ajst-20172	113	8	this	this	DET
ajst-20172	113	9	study	study	NOUN
ajst-20172	113	10	,	,	PUNCT
ajst-20172	113	11	there	there	PRON
ajst-20172	113	12	are	be	VERB
ajst-20172	113	13	still	still	ADV
ajst-20172	113	14	many	many	ADJ
ajst-20172	113	15	directions	direction	NOUN
ajst-20172	113	16	worth	worth	ADJ
ajst-20172	113	17	exploring	explore	VERB
ajst-20172	113	18	.	.	PUNCT
ajst-20172	114	1	future	future	ADJ
ajst-20172	114	2	research	research	NOUN
ajst-20172	114	3	can	can	AUX
ajst-20172	114	4	further	far	ADV
ajst-20172	114	5	explore	explore	VERB
ajst-20172	114	6	the	the	DET
ajst-20172	114	7	application	application	NOUN
ajst-20172	114	8	of	of	ADP
ajst-20172	114	9	attention	attention	NOUN
ajst-20172	114	10	mechanism	mechanism	NOUN
ajst-20172	114	11	in	in	ADP
ajst-20172	114	12	mis	mis	PROPN
ajst-20172	114	13	and	and	CCONJ
ajst-20172	114	14	3d	3d	PROPN
ajst-20172	114	15	reconstruction	reconstruction	NOUN
ajst-20172	114	16	,	,	PUNCT
ajst-20172	114	17	optimize	optimize	VERB
ajst-20172	114	18	the	the	DET
ajst-20172	114	19	model	model	NOUN
ajst-20172	114	20	structure	structure	NOUN
ajst-20172	114	21	and	and	CCONJ
ajst-20172	114	22	parameter	parameter	NOUN
ajst-20172	114	23	settings	setting	NOUN
ajst-20172	114	24	,	,	PUNCT
ajst-20172	114	25	and	and	CCONJ
ajst-20172	114	26	improve	improve	VERB
ajst-20172	114	27	the	the	DET
ajst-20172	114	28	performance	performance	NOUN
ajst-20172	114	29	and	and	CCONJ
ajst-20172	114	30	generalization	generalization	NOUN
ajst-20172	114	31	ability	ability	NOUN
ajst-20172	114	32	of	of	ADP
ajst-20172	114	33	the	the	DET
ajst-20172	114	34	model	model	NOUN
ajst-20172	114	35	.	.	PUNCT
ajst-20172	115	1	in	in	ADP
ajst-20172	115	2	addition	addition	NOUN
ajst-20172	115	3	,	,	PUNCT
ajst-20172	115	4	we	we	PRON
ajst-20172	115	5	can	can	AUX
ajst-20172	115	6	consider	consider	VERB
ajst-20172	115	7	combining	combine	VERB
ajst-20172	115	8	multi	multi	ADJ
ajst-20172	115	9	-	-	ADJ
ajst-20172	115	10	modal	modal	ADJ
ajst-20172	115	11	data	datum	NOUN
ajst-20172	115	12	and	and	CCONJ
ajst-20172	115	13	cross	cross	ADJ
ajst-20172	115	14	-	-	ADJ
ajst-20172	115	15	domain	domain	ADJ
ajst-20172	115	16	knowledge	knowledge	NOUN
ajst-20172	115	17	to	to	PART
ajst-20172	115	18	further	far	ADV
ajst-20172	115	19	enhance	enhance	VERB
ajst-20172	115	20	the	the	DET
ajst-20172	115	21	practicality	practicality	NOUN
ajst-20172	115	22	and	and	CCONJ
ajst-20172	115	23	applicability	applicability	NOUN
ajst-20172	115	24	of	of	ADP
ajst-20172	115	25	the	the	DET
ajst-20172	115	26	model	model	NOUN
ajst-20172	115	27	.	.	PUNCT
ajst-20172	116	1	references	reference	NOUN
ajst-20172	116	2	[	[	X
ajst-20172	116	3	1	1	X
ajst-20172	116	4	]	]	PUNCT
ajst-20172	116	5	yulu	yulu	VERB
ajst-20172	116	6	gong	gong	NOUN
ajst-20172	116	7	,	,	PUNCT
ajst-20172	116	8	haoxin	haoxin	PROPN
ajst-20172	116	9	zhang	zhang	PROPN
ajst-20172	116	10	,	,	PUNCT
ajst-20172	116	11	ruilin	ruilin	PROPN
ajst-20172	116	12	xu	xu	PROPN
ajst-20172	116	13	,	,	PUNCT
ajst-20172	116	14	zhou	zhou	PROPN
ajst-20172	116	15	yu	yu	PROPN
ajst-20172	116	16	,	,	PUNCT
ajst-20172	116	17	jingbo	jingbo	PROPN
ajst-20172	116	18	zhang	zhang	PROPN
ajst-20172	116	19	.	.	PUNCT
ajst-20172	117	1	(	(	PUNCT
ajst-20172	117	2	2024	2024	NUM
ajst-20172	117	3	)	)	PUNCT
ajst-20172	117	4	.	.	PUNCT
ajst-20172	118	1	innovative	innovative	ADJ
ajst-20172	118	2	deep	deep	ADJ
ajst-20172	118	3	learning	learning	NOUN
ajst-20172	118	4	methods	method	NOUN
ajst-20172	118	5	for	for	ADP
ajst-20172	118	6	precancerous	precancerous	ADJ
ajst-20172	118	7	lesion	lesion	NOUN
ajst-20172	118	8	detection	detection	NOUN
ajst-20172	118	9	.	.	PUNCT
ajst-20172	119	1	international	international	ADJ
ajst-20172	119	2	journal	journal	NOUN
ajst-20172	119	3	of	of	ADP
ajst-20172	119	4	innovative	innovative	ADJ
ajst-20172	119	5	research	research	NOUN
ajst-20172	119	6	in	in	ADP
ajst-20172	119	7	computer	computer	NOUN
ajst-20172	119	8	science	science	NOUN
ajst-20172	119	9	and	and	CCONJ
ajst-20172	119	10	technology	technology	NOUN
ajst-20172	119	11	(	(	PUNCT
ajst-20172	119	12	ijircst	ijircst	PROPN
ajst-20172	119	13	)	)	PUNCT
ajst-20172	119	14	,	,	PUNCT
ajst-20172	119	15	12(2),81	12(2),81	NUM
ajst-20172	119	16	-	-	SYM
ajst-20172	119	17	86	86	NUM
ajst-20172	119	18	,	,	PUNCT
ajst-20172	119	19	doi:10.55524	doi:10.55524	PROPN
ajst-20172	119	20	/	/	SYM
ajst-20172	119	21	ijircst.2024.12.2.14	ijircst.2024.12.2.14	PROPN
ajst-20172	119	22	.	.	PUNCT
ajst-20172	120	1	[	[	X
ajst-20172	120	2	2	2	NUM
ajst-20172	120	3	]	]	PUNCT
ajst-20172	120	4	weimin	weimin	PROPN
ajst-20172	120	5	wang	wang	PROPN
ajst-20172	120	6	,	,	PUNCT
ajst-20172	120	7	yufeng	yufeng	PROPN
ajst-20172	120	8	li	li	PROPN
ajst-20172	120	9	,	,	PUNCT
ajst-20172	120	10	xu	xu	PROPN
ajst-20172	120	11	yan	yan	PROPN
ajst-20172	120	12	,	,	PUNCT
ajst-20172	120	13	mingxuan	mingxuan	PROPN
ajst-20172	120	14	xiao	xiao	PROPN
ajst-20172	120	15	,	,	PUNCT
ajst-20172	120	16	&	&	CCONJ
ajst-20172	120	17	min	min	PROPN
ajst-20172	120	18	gao	gao	PROPN
ajst-20172	120	19	.	.	PUNCT
ajst-20172	121	1	(	(	PUNCT
ajst-20172	121	2	2024	2024	NUM
ajst-20172	121	3	)	)	PUNCT
ajst-20172	121	4	.	.	PUNCT
ajst-20172	122	1	enhancing	enhance	VERB
ajst-20172	122	2	liver	liver	NOUN
ajst-20172	122	3	segmentation	segmentation	NOUN
ajst-20172	122	4	:	:	PUNCT
ajst-20172	122	5	a	a	DET
ajst-20172	122	6	deep	deep	ADJ
ajst-20172	122	7	learning	learning	NOUN
ajst-20172	122	8	approach	approach	NOUN
ajst-20172	122	9	with	with	ADP
ajst-20172	122	10	eas	ea	NOUN
ajst-20172	122	11	feature	feature	NOUN
ajst-20172	122	12	extraction	extraction	NOUN
ajst-20172	122	13	and	and	CCONJ
ajst-20172	122	14	multiscale	multiscale	ADJ
ajst-20172	122	15	fusion	fusion	NOUN
ajst-20172	122	16	.	.	PUNCT
ajst-20172	123	1	international	international	ADJ
ajst-20172	123	2	journal	journal	NOUN
ajst-20172	123	3	of	of	ADP
ajst-20172	123	4	innovative	innovative	ADJ
ajst-20172	123	5	research	research	NOUN
ajst-20172	123	6	in	in	ADP
ajst-20172	123	7	computer	computer	NOUN
ajst-20172	123	8	science	science	PROPN
ajst-20172	123	9	&	&	CCONJ
ajst-20172	123	10	technology	technology	PROPN
ajst-20172	123	11	,	,	PUNCT
ajst-20172	123	12	12(1	12(1	NUM
ajst-20172	123	13	)	)	PUNCT
ajst-20172	123	14	,	,	PUNCT
ajst-20172	123	15	26–34	26–34	NUM
ajst-20172	123	16	.	.	PUNCT
ajst-20172	123	17	retrieved	retrieve	VERB
ajst-20172	123	18	from	from	ADP
ajst-20172	123	19	https://ijircst.irpublications.org/index.php/ijircst/article/view/2	https://ijircst.irpublications.org/index.php/ijircst/article/view/2	NOUN
ajst-20172	123	20	1	1	NUM
ajst-20172	124	1	[	[	X
ajst-20172	124	2	3	3	X
ajst-20172	124	3	]	]	X
ajst-20172	124	4	xin	xin	PROPN
ajst-20172	124	5	chen	chen	PROPN
ajst-20172	124	6	,	,	PUNCT
ajst-20172	124	7	yuxiang	yuxiang	PROPN
ajst-20172	124	8	hu	hu	PROPN
ajst-20172	124	9	,	,	PUNCT
ajst-20172	124	10	ting	ting	PROPN
ajst-20172	124	11	xu	xu	PROPN
ajst-20172	124	12	,	,	PUNCT
ajst-20172	124	13	haowei	haowei	PROPN
ajst-20172	124	14	yang	yang	PROPN
ajst-20172	124	15	,	,	PUNCT
ajst-20172	124	16	tong	tong	PROPN
ajst-20172	124	17	wu	wu	PROPN
ajst-20172	124	18	.	.	PUNCT
ajst-20172	125	1	(	(	PUNCT
ajst-20172	125	2	2024	2024	NUM
ajst-20172	125	3	)	)	PUNCT
ajst-20172	125	4	.	.	PUNCT
ajst-20172	126	1	advancements	advancement	NOUN
ajst-20172	126	2	in	in	ADP
ajst-20172	126	3	ai	ai	NOUN
ajst-20172	126	4	for	for	ADP
ajst-20172	126	5	oncology	oncology	NOUN
ajst-20172	126	6	:	:	PUNCT
ajst-20172	126	7	developing	develop	VERB
ajst-20172	126	8	an	an	DET
ajst-20172	126	9	enhanced	enhanced	ADJ
ajst-20172	126	10	yolov5	yolov5	NOUN
ajst-20172	126	11	-	-	PUNCT
ajst-20172	126	12	based	base	VERB
ajst-20172	126	13	cancer	cancer	NOUN
ajst-20172	126	14	cell	cell	NOUN
ajst-20172	126	15	detection	detection	NOUN
ajst-20172	126	16	system	system	NOUN
ajst-20172	126	17	.	.	PUNCT
ajst-20172	127	1	international	international	ADJ
ajst-20172	127	2	journal	journal	NOUN
ajst-20172	127	3	of	of	ADP
ajst-20172	127	4	innovative	innovative	ADJ
ajst-20172	127	5	research	research	NOUN
ajst-20172	127	6	in	in	ADP
ajst-20172	127	7	computer	computer	NOUN
ajst-20172	127	8	science	science	NOUN
ajst-20172	127	9	and	and	CCONJ
ajst-20172	127	10	technology	technology	NOUN
ajst-20172	127	11	(	(	PUNCT
ajst-20172	127	12	ijircst	ijircst	PROPN
ajst-20172	127	13	)	)	PUNCT
ajst-20172	127	14	,	,	PUNCT
ajst-20172	127	15	12(2),75	12(2),75	NOUN
ajst-20172	127	16	-	-	SYM
ajst-20172	127	17	80	80	NUM
ajst-20172	127	18	,	,	PUNCT
ajst-20172	127	19	doi:10.55524	doi:10.55524	PROPN
ajst-20172	127	20	/	/	SYM
ajst-20172	127	21	ijircst.2024.12.2.13	ijircst.2024.12.2.13	NOUN
ajst-20172	127	22	.	.	PUNCT
ajst-20172	128	1	[	[	X
ajst-20172	128	2	4	4	NUM
ajst-20172	128	3	]	]	X
ajst-20172	128	4	yan	yan	PROPN
ajst-20172	128	5	,	,	PUNCT
ajst-20172	128	6	x.	x.	PROPN
ajst-20172	128	7	,	,	PUNCT
ajst-20172	128	8	xiao	xiao	PROPN
ajst-20172	128	9	,	,	PUNCT
ajst-20172	128	10	m.	m.	NOUN
ajst-20172	128	11	,	,	PUNCT
ajst-20172	128	12	wang	wang	PROPN
ajst-20172	128	13	,	,	PUNCT
ajst-20172	128	14	w.	w.	PROPN
ajst-20172	128	15	,	,	PUNCT
ajst-20172	128	16	li	li	PROPN
ajst-20172	128	17	,	,	PUNCT
ajst-20172	128	18	y.	y.	PROPN
ajst-20172	128	19	,	,	PUNCT
ajst-20172	128	20	&	&	CCONJ
ajst-20172	128	21	zhang	zhang	PROPN
ajst-20172	128	22	,	,	PUNCT
ajst-20172	128	23	f.	f.	PROPN
ajst-20172	128	24	(	(	PUNCT
ajst-20172	128	25	2024	2024	NUM
ajst-20172	128	26	)	)	PUNCT
ajst-20172	128	27	.	.	PUNCT
ajst-20172	129	1	a	a	DET
ajst-20172	129	2	self	self	NOUN
ajst-20172	129	3	-	-	PUNCT
ajst-20172	129	4	guided	guide	VERB
ajst-20172	129	5	deep	deep	ADJ
ajst-20172	129	6	learning	learning	NOUN
ajst-20172	129	7	technique	technique	NOUN
ajst-20172	129	8	for	for	ADP
ajst-20172	129	9	mri	mri	NOUN
ajst-20172	129	10	image	image	NOUN
ajst-20172	129	11	noise	noise	NOUN
ajst-20172	129	12	reduction	reduction	NOUN
ajst-20172	129	13	.	.	PUNCT
ajst-20172	130	1	journal	journal	PROPN
ajst-20172	130	2	of	of	ADP
ajst-20172	130	3	theory	theory	NOUN
ajst-20172	130	4	and	and	CCONJ
ajst-20172	130	5	practice	practice	NOUN
ajst-20172	130	6	of	of	ADP
ajst-20172	130	7	engineering	engineering	NOUN
ajst-20172	130	8	science	science	NOUN
ajst-20172	130	9	,	,	PUNCT
ajst-20172	130	10	4(01	4(01	NUM
ajst-20172	130	11	)	)	PUNCT
ajst-20172	130	12	,	,	PUNCT
ajst-20172	130	13	109–117	109–117	NUM
ajst-20172	130	14	.	.	PUNCT
ajst-20172	131	1	https://doi.org/10.53469/jtpes.2024.04(01).15	https://doi.org/10.53469/jtpes.2024.04(01).15	PROPN
ajst-20172	132	1	[	[	X
ajst-20172	132	2	5	5	NUM
ajst-20172	132	3	]	]	X
ajst-20172	132	4	hao	hao	PROPN
ajst-20172	132	5	,	,	PUNCT
ajst-20172	132	6	p.	p.	PROPN
ajst-20172	132	7	,	,	PUNCT
ajst-20172	132	8	shi	shi	PROPN
ajst-20172	132	9	,	,	PUNCT
ajst-20172	132	10	k.	k.	PROPN
ajst-20172	132	11	,	,	PUNCT
ajst-20172	132	12	tian	tian	PROPN
ajst-20172	132	13	,	,	PUNCT
ajst-20172	132	14	s.	s.	PROPN
ajst-20172	132	15	,	,	PUNCT
ajst-20172	132	16	&	&	CCONJ
ajst-20172	132	17	wu	wu	PROPN
ajst-20172	132	18	,	,	PUNCT
ajst-20172	132	19	f.	f.	PROPN
ajst-20172	132	20	(	(	PUNCT
ajst-20172	132	21	2023	2023	NUM
ajst-20172	132	22	)	)	PUNCT
ajst-20172	132	23	.	.	PUNCT
ajst-20172	133	1	uncertainty	uncertainty	NOUN
ajst-20172	133	2	-	-	PUNCT
ajst-20172	133	3	aware	aware	ADJ
ajst-20172	133	4	iterative	iterative	NOUN
ajst-20172	133	5	learning	learning	NOUN
ajst-20172	133	6	for	for	ADP
ajst-20172	133	7	noisy	noisy	ADV
ajst-20172	133	8	-	-	PUNCT
ajst-20172	133	9	labeled	label	VERB
ajst-20172	133	10	medical	medical	ADJ
ajst-20172	133	11	image	image	NOUN
ajst-20172	133	12	segmentation	segmentation	NOUN
ajst-20172	133	13	.	.	PUNCT
ajst-20172	134	1	iet	iet	PROPN
ajst-20172	134	2	image	image	PROPN
ajst-20172	134	3	processing	processing	NOUN
ajst-20172	134	4	,	,	PUNCT
ajst-20172	134	5	2023(13	2023(13	NUM
ajst-20172	134	6	)	)	PUNCT
ajst-20172	134	7	,	,	PUNCT
ajst-20172	134	8	17	17	NUM
ajst-20172	134	9	.	.	PUNCT
ajst-20172	135	1	[	[	X
ajst-20172	135	2	6	6	NUM
ajst-20172	135	3	]	]	X
ajst-20172	135	4	zhang	zhang	PROPN
ajst-20172	135	5	,	,	PUNCT
ajst-20172	135	6	x.	x.	PROPN
ajst-20172	135	7	,	,	PUNCT
ajst-20172	135	8	cao	cao	PROPN
ajst-20172	135	9	,	,	PUNCT
ajst-20172	135	10	x.	x.	PROPN
ajst-20172	135	11	,	,	PUNCT
ajst-20172	135	12	junwang	junwang	PROPN
ajst-20172	135	13	,	,	PUNCT
ajst-20172	135	14	&	&	CCONJ
ajst-20172	135	15	wan	wan	PROPN
ajst-20172	135	16	,	,	PUNCT
ajst-20172	135	17	l.	l.	PROPN
ajst-20172	135	18	(	(	PUNCT
ajst-20172	135	19	2023	2023	NUM
ajst-20172	135	20	)	)	PUNCT
ajst-20172	135	21	.	.	PUNCT
ajst-20172	136	1	g	g	PROPN
ajst-20172	136	2	-	-	PUNCT
ajst-20172	136	3	unext	unext	NOUN
ajst-20172	136	4	:	:	PUNCT
ajst-20172	136	5	a	a	DET
ajst-20172	136	6	lightweight	lightweight	ADJ
ajst-20172	136	7	mlp	mlp	NOUN
ajst-20172	136	8	-	-	PUNCT
ajst-20172	136	9	based	base	VERB
ajst-20172	136	10	network	network	NOUN
ajst-20172	136	11	for	for	ADP
ajst-20172	136	12	reducing	reduce	VERB
ajst-20172	136	13	semantic	semantic	ADJ
ajst-20172	136	14	gap	gap	NOUN
ajst-20172	136	15	in	in	ADP
ajst-20172	136	16	medical	medical	ADJ
ajst-20172	136	17	image	image	NOUN
ajst-20172	136	18	segmentation	segmentation	NOUN
ajst-20172	136	19	.	.	PUNCT
ajst-20172	137	1	multimedia	multimedia	NOUN
ajst-20172	137	2	systems	system	NOUN
ajst-20172	137	3	,	,	PUNCT
ajst-20172	137	4	2023(6	2023(6	PROPN
ajst-20172	137	5	)	)	PUNCT
ajst-20172	137	6	,	,	PUNCT
ajst-20172	137	7	29	29	NUM
ajst-20172	137	8	.	.	PUNCT
ajst-20172	138	1	[	[	X
ajst-20172	138	2	7	7	NUM
ajst-20172	138	3	]	]	X
ajst-20172	138	4	wang	wang	PROPN
ajst-20172	138	5	,	,	PUNCT
ajst-20172	138	6	k.	k.	PROPN
ajst-20172	138	7	,	,	PUNCT
ajst-20172	138	8	wang	wang	PROPN
ajst-20172	138	9	,	,	PUNCT
ajst-20172	138	10	y.	y.	PROPN
ajst-20172	138	11	,	,	PUNCT
ajst-20172	138	12	zhan	zhan	PROPN
ajst-20172	138	13	,	,	PUNCT
ajst-20172	138	14	b.	b.	PROPN
ajst-20172	138	15	,	,	PUNCT
ajst-20172	138	16	yang	yang	PROPN
ajst-20172	138	17	,	,	PUNCT
ajst-20172	138	18	y.	y.	PROPN
ajst-20172	138	19	,	,	PUNCT
ajst-20172	138	20	zu	zu	PROPN
ajst-20172	138	21	,	,	PUNCT
ajst-20172	138	22	c.	c.	PROPN
ajst-20172	138	23	,	,	PUNCT
ajst-20172	138	24	&	&	CCONJ
ajst-20172	138	25	wu	wu	PROPN
ajst-20172	138	26	,	,	PUNCT
ajst-20172	138	27	x.	x.	PROPN
ajst-20172	138	28	,	,	PUNCT
ajst-20172	138	29	et	et	PROPN
ajst-20172	138	30	al	al	PROPN
ajst-20172	138	31	.	.	PROPN
ajst-20172	139	1	(	(	PUNCT
ajst-20172	139	2	2022	2022	NUM
ajst-20172	139	3	)	)	PUNCT
ajst-20172	139	4	.	.	PUNCT
ajst-20172	140	1	an	an	DET
ajst-20172	140	2	efficient	efficient	ADJ
ajst-20172	140	3	semi	semi	ADJ
ajst-20172	140	4	-	-	ADJ
ajst-20172	140	5	supervised	supervised	ADJ
ajst-20172	140	6	framework	framework	NOUN
ajst-20172	140	7	with	with	ADP
ajst-20172	140	8	multi	multi	ADJ
ajst-20172	140	9	-	-	NOUN
ajst-20172	140	10	task	task	NOUN
ajst-20172	140	11	and	and	CCONJ
ajst-20172	140	12	curriculum	curriculum	NOUN
ajst-20172	140	13	learning	learn	VERB
ajst-20172	140	14	for	for	ADP
ajst-20172	140	15	medical	medical	ADJ
ajst-20172	140	16	image	image	NOUN
ajst-20172	140	17	segmentation	segmentation	NOUN
ajst-20172	140	18	.	.	PUNCT
ajst-20172	141	1	international	international	ADJ
ajst-20172	141	2	journal	journal	PROPN
ajst-20172	141	3	of	of	ADP
ajst-20172	141	4	neural	neural	ADJ
ajst-20172	141	5	systems	system	NOUN
ajst-20172	141	6	,	,	PUNCT
ajst-20172	141	7	32(9	32(9	NUM
ajst-20172	141	8	)	)	PUNCT
ajst-20172	141	9	,	,	PUNCT
ajst-20172	141	10	2250043	2250043	NUM
ajst-20172	141	11	.	.	PUNCT
ajst-20172	142	1	[	[	X
ajst-20172	142	2	8	8	NUM
ajst-20172	142	3	]	]	X
ajst-20172	142	4	lin	lin	PROPN
ajst-20172	142	5	,	,	PUNCT
ajst-20172	142	6	m.	m.	NOUN
ajst-20172	142	7	,	,	PUNCT
ajst-20172	142	8	cai	cai	X
ajst-20172	142	9	,	,	PUNCT
ajst-20172	142	10	q.	q.	PROPN
ajst-20172	142	11	,	,	PUNCT
ajst-20172	142	12	&	&	CCONJ
ajst-20172	142	13	zhou	zhou	PROPN
ajst-20172	142	14	,	,	PUNCT
ajst-20172	142	15	j.	j.	PROPN
ajst-20172	142	16	(	(	PUNCT
ajst-20172	142	17	2022	2022	NUM
ajst-20172	142	18	)	)	PUNCT
ajst-20172	142	19	.	.	PUNCT
ajst-20172	143	1	3d	3d	PROPN
ajst-20172	143	2	md	md	PROPN
ajst-20172	143	3	-	-	PUNCT
ajst-20172	143	4	unet	unet	NOUN
ajst-20172	143	5	:	:	PUNCT
ajst-20172	143	6	a	a	DET
ajst-20172	143	7	novel	novel	ADJ
ajst-20172	143	8	model	model	NOUN
ajst-20172	143	9	of	of	ADP
ajst-20172	143	10	multi	multi	ADJ
ajst-20172	143	11	-	-	ADJ
ajst-20172	143	12	dataset	dataset	ADJ
ajst-20172	143	13	collaboration	collaboration	NOUN
ajst-20172	143	14	for	for	ADP
ajst-20172	143	15	medical	medical	ADJ
ajst-20172	143	16	image	image	NOUN
ajst-20172	143	17	segmentation	segmentation	NOUN
ajst-20172	143	18	.	.	PUNCT
ajst-20172	144	1	neurocomputing	neurocomputing	NOUN
ajst-20172	144	2	,	,	PUNCT
ajst-20172	144	3	2022(1	2022(1	NUM
ajst-20172	144	4	)	)	PUNCT
ajst-20172	144	5	,	,	PUNCT
ajst-20172	144	6	492	492	NUM
ajst-20172	144	7	.	.	PUNCT
ajst-20172	145	1	[	[	X
ajst-20172	145	2	9	9	NUM
ajst-20172	145	3	]	]	SYM
ajst-20172	145	4	xie	xie	PROPN
ajst-20172	145	5	,	,	PUNCT
ajst-20172	145	6	j.	j.	PROPN
ajst-20172	145	7	,	,	PUNCT
ajst-20172	145	8	zhu	zhu	PROPN
ajst-20172	145	9	,	,	PUNCT
ajst-20172	145	10	r.	r.	PROPN
ajst-20172	145	11	,	,	PUNCT
ajst-20172	145	12	wu	wu	PROPN
ajst-20172	145	13	,	,	PUNCT
ajst-20172	145	14	z.	z.	PROPN
ajst-20172	145	15	,	,	PUNCT
ajst-20172	145	16	&	&	CCONJ
ajst-20172	145	17	ouyang	ouyang	PROPN
ajst-20172	145	18	,	,	PUNCT
ajst-20172	145	19	j.	j.	PROPN
ajst-20172	145	20	(	(	PUNCT
ajst-20172	145	21	2022	2022	NUM
ajst-20172	145	22	)	)	PUNCT
ajst-20172	145	23	.	.	PUNCT
ajst-20172	146	1	ffunet	ffunet	NOUN
ajst-20172	146	2	:	:	PUNCT
ajst-20172	146	3	a	a	DET
ajst-20172	146	4	novel	novel	ADJ
ajst-20172	146	5	feature	feature	NOUN
ajst-20172	146	6	fusion	fusion	NOUN
ajst-20172	146	7	makes	make	VERB
ajst-20172	146	8	strong	strong	ADJ
ajst-20172	146	9	decoder	decoder	NOUN
ajst-20172	146	10	for	for	ADP
ajst-20172	146	11	medical	medical	ADJ
ajst-20172	146	12	image	image	NOUN
ajst-20172	146	13	segmentation	segmentation	NOUN
ajst-20172	146	14	.	.	PUNCT
ajst-20172	147	1	iet	iet	PROPN
ajst-20172	147	2	signal	signal	PROPN
ajst-20172	147	3	processing	processing	NOUN
ajst-20172	147	4	,	,	PUNCT
ajst-20172	147	5	2022(5	2022(5	NUM
ajst-20172	147	6	)	)	PUNCT
ajst-20172	147	7	,	,	PUNCT
ajst-20172	147	8	16	16	NUM
ajst-20172	147	9	.	.	PUNCT
ajst-20172	148	1	[	[	X
ajst-20172	148	2	10	10	NUM
ajst-20172	148	3	]	]	X
ajst-20172	148	4	shi	shi	PROPN
ajst-20172	148	5	,	,	PUNCT
ajst-20172	148	6	y.	y.	PROPN
ajst-20172	148	7	,	,	PUNCT
ajst-20172	148	8	zhang	zhang	PROPN
ajst-20172	148	9	,	,	PUNCT
ajst-20172	148	10	j.	j.	PROPN
ajst-20172	148	11	,	,	PUNCT
ajst-20172	148	12	ling	ling	PROPN
ajst-20172	148	13	,	,	PUNCT
ajst-20172	148	14	t.	t.	PROPN
ajst-20172	148	15	,	,	PUNCT
ajst-20172	148	16	lu	lu	PROPN
ajst-20172	148	17	,	,	PUNCT
ajst-20172	148	18	j.	j.	PROPN
ajst-20172	148	19	,	,	PUNCT
ajst-20172	148	20	zheng	zheng	PROPN
ajst-20172	148	21	,	,	PUNCT
ajst-20172	148	22	y.	y.	PROPN
ajst-20172	148	23	,	,	PUNCT
ajst-20172	148	24	&	&	CCONJ
ajst-20172	148	25	yu	yu	PROPN
ajst-20172	148	26	,	,	PUNCT
ajst-20172	148	27	q.	q.	PROPN
ajst-20172	148	28	,	,	PUNCT
ajst-20172	148	29	et	et	PROPN
ajst-20172	148	30	al	al	PROPN
ajst-20172	148	31	.	.	PROPN
ajst-20172	149	1	(	(	PUNCT
ajst-20172	149	2	2022	2022	NUM
ajst-20172	149	3	)	)	PUNCT
ajst-20172	149	4	.	.	PUNCT
ajst-20172	150	1	inconsistency	inconsistency	NOUN
ajst-20172	150	2	-	-	PUNCT
ajst-20172	150	3	aware	aware	ADJ
ajst-20172	150	4	uncertainty	uncertainty	NOUN
ajst-20172	150	5	estimation	estimation	NOUN
ajst-20172	150	6	for	for	ADP
ajst-20172	150	7	semi	semi	ADJ
ajst-20172	150	8	-	-	ADJ
ajst-20172	150	9	supervised	supervised	ADJ
ajst-20172	150	10	medical	medical	ADJ
ajst-20172	150	11	image	image	NOUN
ajst-20172	150	12	segmentation	segmentation	NOUN
ajst-20172	150	13	.	.	PUNCT
ajst-20172	151	1	ieee	ieee	NOUN
ajst-20172	151	2	transactions	transaction	NOUN
ajst-20172	151	3	on	on	ADP
ajst-20172	151	4	medical	medical	ADJ
ajst-20172	151	5	imaging	imaging	NOUN
ajst-20172	151	6	,	,	PUNCT
ajst-20172	151	7	2022(3	2022(3	NUM
ajst-20172	151	8	)	)	PUNCT
ajst-20172	151	9	,	,	PUNCT
ajst-20172	151	10	41	41	NUM
ajst-20172	151	11	.	.	PUNCT
ajst-20172	152	1	[	[	X
ajst-20172	152	2	11	11	NUM
ajst-20172	152	3	]	]	SYM
ajst-20172	152	4	yang	yang	PROPN
ajst-20172	152	5	,	,	PUNCT
ajst-20172	152	6	y.	y.	PROPN
ajst-20172	152	7	,	,	PUNCT
ajst-20172	152	8	yan	yan	PROPN
ajst-20172	152	9	,	,	PUNCT
ajst-20172	152	10	t.	t.	PROPN
ajst-20172	152	11	,	,	PUNCT
ajst-20172	152	12	jiang	jiang	PROPN
ajst-20172	152	13	,	,	PUNCT
ajst-20172	152	14	x.	x.	PROPN
ajst-20172	152	15	,	,	PUNCT
ajst-20172	152	16	xie	xie	PROPN
ajst-20172	152	17	,	,	PUNCT
ajst-20172	152	18	r.	r.	PROPN
ajst-20172	152	19	,	,	PUNCT
ajst-20172	152	20	li	li	PROPN
ajst-20172	152	21	,	,	PUNCT
ajst-20172	152	22	c.	c.	PROPN
ajst-20172	152	23	,	,	PUNCT
ajst-20172	152	24	&	&	CCONJ
ajst-20172	152	25	zhou	zhou	PROPN
ajst-20172	152	26	,	,	PUNCT
ajst-20172	152	27	t.	t.	PROPN
ajst-20172	152	28	(	(	PUNCT
ajst-20172	152	29	2022	2022	NUM
ajst-20172	152	30	)	)	PUNCT
ajst-20172	152	31	.	.	PUNCT
ajst-20172	153	1	mh	mh	PROPN
ajst-20172	153	2	-	-	PUNCT
ajst-20172	153	3	net	net	NOUN
ajst-20172	153	4	:	:	PUNCT
ajst-20172	153	5	model	model	ADJ
ajst-20172	153	6	-	-	PUNCT
ajst-20172	153	7	data	data	NOUN
ajst-20172	153	8	-	-	PUNCT
ajst-20172	153	9	driven	drive	VERB
ajst-20172	153	10	hybrid	hybrid	NOUN
ajst-20172	153	11	-	-	PUNCT
ajst-20172	153	12	fusion	fusion	NOUN
ajst-20172	153	13	network	network	NOUN
ajst-20172	153	14	for	for	ADP
ajst-20172	153	15	medical	medical	ADJ
ajst-20172	153	16	image	image	NOUN
ajst-20172	153	17	segmentation	segmentation	NOUN
ajst-20172	153	18	.	.	PUNCT
ajst-20172	154	1	knowledge	knowledge	NOUN
ajst-20172	154	2	-	-	PUNCT
ajst-20172	154	3	based	base	VERB
ajst-20172	154	4	systems	system	NOUN
ajst-20172	154	5	,	,	PUNCT
ajst-20172	154	6	2022(19	2022(19	NUM
ajst-20172	154	7	)	)	PUNCT
ajst-20172	154	8	,	,	PUNCT
ajst-20172	154	9	248	248	NUM
ajst-20172	154	10	.	.	PUNCT
ajst-20172	155	1	[	[	X
ajst-20172	155	2	12	12	NUM
ajst-20172	155	3	]	]	X
ajst-20172	155	4	feng	feng	PROPN
ajst-20172	155	5	,	,	PUNCT
ajst-20172	155	6	r.	r.	PROPN
ajst-20172	155	7	,	,	PUNCT
ajst-20172	155	8	zheng	zheng	PROPN
ajst-20172	155	9	,	,	PUNCT
ajst-20172	155	10	x.	x.	PROPN
ajst-20172	155	11	,	,	PUNCT
ajst-20172	155	12	gao	gao	PROPN
ajst-20172	155	13	,	,	PUNCT
ajst-20172	155	14	t.	t.	PROPN
ajst-20172	155	15	,	,	PUNCT
ajst-20172	155	16	chen	chen	PROPN
ajst-20172	155	17	,	,	PUNCT
ajst-20172	155	18	j.	j.	PROPN
ajst-20172	155	19	,	,	PUNCT
ajst-20172	155	20	&	&	CCONJ
ajst-20172	155	21	wu	wu	PROPN
ajst-20172	155	22	,	,	PUNCT
ajst-20172	155	23	j.	j.	PROPN
ajst-20172	155	24	(	(	PUNCT
ajst-20172	155	25	2021	2021	NUM
ajst-20172	155	26	)	)	PUNCT
ajst-20172	155	27	.	.	PUNCT
ajst-20172	156	1	interactive	interactive	ADJ
ajst-20172	156	2	few	few	ADJ
ajst-20172	156	3	-	-	PUNCT
ajst-20172	156	4	shot	shot	NOUN
ajst-20172	156	5	learning	learning	NOUN
ajst-20172	156	6	:	:	PUNCT
ajst-20172	156	7	limited	limited	ADJ
ajst-20172	156	8	supervision	supervision	NOUN
ajst-20172	156	9	,	,	PUNCT
ajst-20172	156	10	better	well	ADJ
ajst-20172	156	11	medical	medical	ADJ
ajst-20172	156	12	image	image	NOUN
ajst-20172	156	13	segmentation	segmentation	NOUN
ajst-20172	156	14	.	.	PUNCT
ajst-20172	157	1	ieee	ieee	NOUN
ajst-20172	157	2	transactions	transaction	NOUN
ajst-20172	157	3	on	on	ADP
ajst-20172	157	4	medical	medical	ADJ
ajst-20172	157	5	imaging	imaging	NOUN
ajst-20172	157	6	,	,	PUNCT
ajst-20172	157	7	2021(99	2021(99	NUM
ajst-20172	157	8	)	)	PUNCT
ajst-20172	157	9	,	,	PUNCT
ajst-20172	157	10	1	1	NUM
ajst-20172	157	11	-	-	SYM
ajst-20172	157	12	1	1	NUM
ajst-20172	157	13	.	.	PUNCT
ajst-20172	158	1	[	[	X
ajst-20172	158	2	13	13	NUM
ajst-20172	158	3	]	]	SYM
ajst-20172	158	4	shan	shan	NOUN
ajst-20172	158	5	,	,	PUNCT
ajst-20172	158	6	t.	t.	NOUN
ajst-20172	158	7	,	,	PUNCT
ajst-20172	158	8	&	&	CCONJ
ajst-20172	158	9	yan	yan	PROPN
ajst-20172	158	10	,	,	PUNCT
ajst-20172	158	11	j.	j.	PROPN
ajst-20172	158	12	(	(	PUNCT
ajst-20172	158	13	2021	2021	NUM
ajst-20172	158	14	)	)	PUNCT
ajst-20172	158	15	.	.	PUNCT
ajst-20172	159	1	sca	sca	PROPN
ajst-20172	159	2	-	-	PUNCT
ajst-20172	159	3	net	net	NOUN
ajst-20172	159	4	:	:	PUNCT
ajst-20172	159	5	a	a	DET
ajst-20172	159	6	spatial	spatial	ADJ
ajst-20172	159	7	and	and	CCONJ
ajst-20172	159	8	channel	channel	NOUN
ajst-20172	159	9	attention	attention	NOUN
ajst-20172	159	10	network	network	NOUN
ajst-20172	159	11	for	for	ADP
ajst-20172	159	12	medical	medical	ADJ
ajst-20172	159	13	image	image	NOUN
ajst-20172	159	14	segmentation	segmentation	NOUN
ajst-20172	159	15	.	.	PUNCT
ajst-20172	160	1	ieee	ieee	NOUN
ajst-20172	160	2	access	access	NOUN
ajst-20172	160	3	,	,	PUNCT
ajst-20172	160	4	2021(99	2021(99	NUM
ajst-20172	160	5	)	)	PUNCT
ajst-20172	160	6	,	,	PUNCT
ajst-20172	160	7	1	1	NUM
ajst-20172	160	8	-	-	SYM
ajst-20172	160	9	1	1	NUM
ajst-20172	160	10	.	.	PUNCT
ajst-20172	161	1	[	[	X
ajst-20172	161	2	14	14	NUM
ajst-20172	161	3	]	]	X
ajst-20172	161	4	yufeng	yufeng	PROPN
ajst-20172	161	5	li	li	PROPN
ajst-20172	161	6	,	,	PUNCT
ajst-20172	161	7	weimin	weimin	PROPN
ajst-20172	161	8	wang	wang	PROPN
ajst-20172	161	9	,	,	PUNCT
ajst-20172	161	10	xu	xu	PROPN
ajst-20172	161	11	yan	yan	PROPN
ajst-20172	161	12	,	,	PUNCT
ajst-20172	161	13	min	min	PROPN
ajst-20172	161	14	gao	gao	PROPN
ajst-20172	161	15	,	,	PUNCT
ajst-20172	161	16	&	&	CCONJ
ajst-20172	161	17	mingxuan	mingxuan	PROPN
ajst-20172	161	18	xiao	xiao	PROPN
ajst-20172	161	19	.	.	PROPN
ajst-20172	161	20	(	(	PUNCT
ajst-20172	161	21	2024	2024	NUM
ajst-20172	161	22	)	)	PUNCT
ajst-20172	161	23	.	.	PUNCT
ajst-20172	162	1	research	research	NOUN
ajst-20172	162	2	on	on	ADP
ajst-20172	162	3	the	the	DET
ajst-20172	162	4	application	application	NOUN
ajst-20172	162	5	of	of	ADP
ajst-20172	162	6	semantic	semantic	ADJ
ajst-20172	162	7	network	network	NOUN
ajst-20172	162	8	in	in	ADP
ajst-20172	162	9	disease	disease	NOUN
ajst-20172	162	10	diagnosis	diagnosis	NOUN
ajst-20172	162	11	prompts	prompt	NOUN
ajst-20172	162	12	based	base	VERB
ajst-20172	162	13	on	on	ADP
ajst-20172	162	14	medical	medical	ADJ
ajst-20172	162	15	corpus	corpus	NOUN
ajst-20172	162	16	.	.	PUNCT
ajst-20172	163	1	international	international	ADJ
ajst-20172	163	2	journal	journal	PROPN
ajst-20172	163	3	of	of	ADP
ajst-20172	163	4	innovative	innovative	ADJ
ajst-20172	163	5	research	research	NOUN
ajst-20172	163	6	in	in	ADP
ajst-20172	163	7	computer	computer	NOUN
ajst-20172	163	8	science	science	PROPN
ajst-20172	163	9	&	&	CCONJ
ajst-20172	163	10	technology	technology	PROPN
ajst-20172	163	11	,	,	PUNCT
ajst-20172	163	12	12(2	12(2	NUM
ajst-20172	163	13	)	)	PUNCT
ajst-20172	163	14	,	,	PUNCT
ajst-20172	163	15	1–9	1–9	NOUN
ajst-20172	163	16	.	.	NOUN
ajst-20172	163	17	retrieved	retrieve	VERB
ajst-20172	163	18	from	from	ADP
ajst-20172	163	19	https://ijircst.irpublications.org/index.php/ijircst/article/view/2	https://ijircst.irpublications.org/index.php/ijircst/article/view/2	NOUN
ajst-20172	163	20	9	9	NUM
ajst-20172	163	21	[	[	SYM
ajst-20172	163	22	15	15	NUM
ajst-20172	163	23	]	]	X
ajst-20172	163	24	kim	kim	PROPN
ajst-20172	163	25	,	,	PUNCT
ajst-20172	163	26	j.	j.	PROPN
ajst-20172	163	27	,	,	PUNCT
ajst-20172	163	28	&	&	CCONJ
ajst-20172	163	29	kang	kang	PROPN
ajst-20172	163	30	,	,	PUNCT
ajst-20172	163	31	s.	s.	PROPN
ajst-20172	163	32	(	(	PUNCT
ajst-20172	163	33	2021	2021	NUM
ajst-20172	163	34	)	)	PUNCT
ajst-20172	163	35	.	.	PUNCT
ajst-20172	164	1	model	model	ADJ
ajst-20172	164	2	-	-	PUNCT
ajst-20172	164	3	agnostic	agnostic	ADJ
ajst-20172	164	4	post	post	ADJ
ajst-20172	164	5	-	-	ADJ
ajst-20172	164	6	processing	processing	NOUN
ajst-20172	164	7	based	base	VERB
ajst-20172	164	8	on	on	ADP
ajst-20172	164	9	recursive	recursive	ADJ
ajst-20172	164	10	feedback	feedback	NOUN
ajst-20172	164	11	for	for	ADP
ajst-20172	164	12	medical	medical	ADJ
ajst-20172	164	13	image	image	NOUN
ajst-20172	164	14	segmentation	segmentation	NOUN
ajst-20172	164	15	.	.	PUNCT
ajst-20172	165	1	ieee	ieee	NOUN
ajst-20172	165	2	access	access	NOUN
ajst-20172	165	3	,	,	PUNCT
ajst-20172	165	4	2021(99	2021(99	NUM
ajst-20172	165	5	)	)	PUNCT
ajst-20172	165	6	,	,	PUNCT
ajst-20172	165	7	1	1	NUM
ajst-20172	165	8	-	-	SYM
ajst-20172	165	9	1	1	NUM
ajst-20172	165	10	.	.	PUNCT
ajst-20172	166	1	[	[	X
ajst-20172	166	2	16	16	NUM
ajst-20172	166	3	]	]	X
ajst-20172	166	4	zhang	zhang	PROPN
ajst-20172	166	5	,	,	PUNCT
ajst-20172	166	6	y.	y.	PROPN
ajst-20172	166	7	,	,	PUNCT
ajst-20172	166	8	gong	gong	PROPN
ajst-20172	166	9	,	,	PUNCT
ajst-20172	166	10	y.	y.	PROPN
ajst-20172	166	11	,	,	PUNCT
ajst-20172	166	12	cui	cui	PROPN
ajst-20172	166	13	,	,	PUNCT
ajst-20172	166	14	d.	d.	PROPN
ajst-20172	166	15	,	,	PUNCT
ajst-20172	166	16	li	li	PROPN
ajst-20172	166	17	,	,	PUNCT
ajst-20172	166	18	x.	x.	PROPN
ajst-20172	166	19	,	,	PUNCT
ajst-20172	166	20	&	&	CCONJ
ajst-20172	166	21	shen	shen	PROPN
ajst-20172	166	22	,	,	PUNCT
ajst-20172	166	23	x.	x.	PROPN
ajst-20172	166	24	(	(	PUNCT
ajst-20172	166	25	2024	2024	NUM
ajst-20172	166	26	)	)	PUNCT
ajst-20172	166	27	.	.	PUNCT
ajst-20172	166	28	deepgi	deepgi	NOUN
ajst-20172	166	29	:	:	PUNCT
ajst-20172	166	30	an	an	DET
ajst-20172	166	31	automated	automate	VERB
ajst-20172	166	32	approach	approach	NOUN
ajst-20172	166	33	for	for	ADP
ajst-20172	166	34	gastrointestinal	gastrointestinal	ADJ
ajst-20172	166	35	tract	tract	NOUN
ajst-20172	166	36	segmentation	segmentation	NOUN
ajst-20172	166	37	in	in	ADP
ajst-20172	166	38	mri	mri	NOUN
ajst-20172	166	39	scans	scan	NOUN
ajst-20172	166	40	.	.	PUNCT
ajst-20172	167	1	arxiv	arxiv	PROPN
ajst-20172	167	2	preprint	preprint	VERB
ajst-20172	167	3	arxiv:2401.15354	arxiv:2401.15354	ADV
ajst-20172	167	4	.	.	PUNCT
ajst-20172	168	1	12	12	NUM
ajst-20172	169	1	[	[	SYM
ajst-20172	169	2	17	17	NUM
ajst-20172	169	3	]	]	X
ajst-20172	169	4	zhang	zhang	PROPN
ajst-20172	169	5	,	,	PUNCT
ajst-20172	169	6	y.	y.	PROPN
ajst-20172	169	7	,	,	PUNCT
ajst-20172	169	8	zhu	zhu	PROPN
ajst-20172	169	9	,	,	PUNCT
ajst-20172	169	10	m.	m.	NOUN
ajst-20172	169	11	,	,	PUNCT
ajst-20172	169	12	gui	gui	PROPN
ajst-20172	169	13	,	,	PUNCT
ajst-20172	169	14	k.	k.	PROPN
ajst-20172	169	15	,	,	PUNCT
ajst-20172	169	16	yu	yu	PROPN
ajst-20172	169	17	,	,	PUNCT
ajst-20172	169	18	j.	j.	PROPN
ajst-20172	169	19	,	,	PUNCT
ajst-20172	169	20	hao	hao	PROPN
ajst-20172	169	21	,	,	PUNCT
ajst-20172	169	22	y.	y.	PROPN
ajst-20172	169	23	,	,	PUNCT
ajst-20172	169	24	&	&	CCONJ
ajst-20172	169	25	sun	sun	PROPN
ajst-20172	169	26	,	,	PUNCT
ajst-20172	169	27	h.	h.	PROPN
ajst-20172	169	28	(	(	PUNCT
ajst-20172	169	29	2024	2024	NUM
ajst-20172	169	30	)	)	PUNCT
ajst-20172	169	31	.	.	PUNCT
ajst-20172	170	1	development	development	NOUN
ajst-20172	170	2	and	and	CCONJ
ajst-20172	170	3	application	application	NOUN
ajst-20172	170	4	of	of	ADP
ajst-20172	170	5	a	a	DET
ajst-20172	170	6	monte	monte	PROPN
ajst-20172	170	7	carlo	carlo	PROPN
ajst-20172	170	8	tree	tree	NOUN
ajst-20172	170	9	search	search	NOUN
ajst-20172	170	10	algorithm	algorithm	NOUN
ajst-20172	170	11	for	for	ADP
ajst-20172	170	12	simulating	simulate	VERB
ajst-20172	170	13	da	da	PROPN
ajst-20172	170	14	vinci	vinci	PROPN
ajst-20172	170	15	code	code	PROPN
ajst-20172	170	16	game	game	NOUN
ajst-20172	170	17	strategies	strategy	NOUN
ajst-20172	170	18	.	.	PUNCT
ajst-20172	171	1	arxiv	arxiv	PROPN
ajst-20172	171	2	preprint	preprint	NOUN
ajst-20172	171	3	arxiv:2403.10720	arxiv:2403.10720	NOUN
ajst-20172	171	4	.	.	PUNCT
ajst-20172	172	1	[	[	X
ajst-20172	172	2	18	18	NUM
ajst-20172	172	3	]	]	X
ajst-20172	172	4	dai	dai	PROPN
ajst-20172	172	5	,	,	PUNCT
ajst-20172	172	6	w.	w.	PROPN
ajst-20172	172	7	,	,	PUNCT
ajst-20172	172	8	tao	tao	PROPN
ajst-20172	172	9	,	,	PUNCT
ajst-20172	172	10	j.	j.	PROPN
ajst-20172	172	11	,	,	PUNCT
ajst-20172	172	12	yan	yan	PROPN
ajst-20172	172	13	,	,	PUNCT
ajst-20172	172	14	x.	x.	PROPN
ajst-20172	172	15	,	,	PUNCT
ajst-20172	172	16	feng	feng	PROPN
ajst-20172	172	17	,	,	PUNCT
ajst-20172	172	18	z.	z.	PROPN
ajst-20172	172	19	,	,	PUNCT
ajst-20172	172	20	&	&	CCONJ
ajst-20172	172	21	chen	chen	PROPN
ajst-20172	172	22	,	,	PUNCT
ajst-20172	172	23	j.	j.	PROPN
ajst-20172	172	24	(	(	PUNCT
ajst-20172	172	25	2023	2023	NUM
ajst-20172	172	26	,	,	PUNCT
ajst-20172	172	27	november	november	PROPN
ajst-20172	172	28	)	)	PUNCT
ajst-20172	172	29	.	.	PUNCT
ajst-20172	173	1	addressing	address	VERB
ajst-20172	173	2	unintended	unintended	ADJ
ajst-20172	173	3	bias	bias	NOUN
ajst-20172	173	4	in	in	ADP
ajst-20172	173	5	toxicity	toxicity	NOUN
ajst-20172	173	6	detection	detection	NOUN
ajst-20172	173	7	:	:	PUNCT
ajst-20172	173	8	an	an	DET
ajst-20172	173	9	lstm	lstm	NOUN
ajst-20172	173	10	and	and	CCONJ
ajst-20172	173	11	attention	attention	NOUN
ajst-20172	173	12	-	-	PUNCT
ajst-20172	173	13	based	base	VERB
ajst-20172	173	14	approach	approach	NOUN
ajst-20172	173	15	.	.	PUNCT
ajst-20172	174	1	in	in	ADP
ajst-20172	174	2	2023	2023	NUM
ajst-20172	174	3	5th	5th	ADJ
ajst-20172	174	4	international	international	ADJ
ajst-20172	174	5	conference	conference	NOUN
ajst-20172	174	6	on	on	ADP
ajst-20172	174	7	artificial	artificial	ADJ
ajst-20172	174	8	intelligence	intelligence	NOUN
ajst-20172	174	9	and	and	CCONJ
ajst-20172	174	10	computer	computer	NOUN
ajst-20172	174	11	applications	application	NOUN
ajst-20172	174	12	(	(	PUNCT
ajst-20172	174	13	icaica	icaica	PROPN
ajst-20172	174	14	)	)	PUNCT
ajst-20172	174	15	(	(	PUNCT
ajst-20172	174	16	pp	pp	X
ajst-20172	174	17	.	.	PUNCT
ajst-20172	174	18	375	375	NUM
ajst-20172	174	19	-	-	SYM
ajst-20172	174	20	379	379	NUM
ajst-20172	174	21	)	)	PUNCT
ajst-20172	174	22	.	.	PUNCT
ajst-20172	175	1	ieee	ieee	PROPN
ajst-20172	175	2	.	.	PUNCT
ajst-20172	176	1	[	[	X
ajst-20172	176	2	19	19	NUM
ajst-20172	176	3	]	]	X
ajst-20172	176	4	sun	sun	NOUN
ajst-20172	176	5	,	,	PUNCT
ajst-20172	176	6	y.	y.	PROPN
ajst-20172	176	7	,	,	PUNCT
ajst-20172	176	8	cui	cui	PROPN
ajst-20172	176	9	,	,	PUNCT
ajst-20172	176	10	y.	y.	PROPN
ajst-20172	176	11	,	,	PUNCT
ajst-20172	176	12	hu	hu	PROPN
ajst-20172	176	13	,	,	PUNCT
ajst-20172	176	14	j.	j.	PROPN
ajst-20172	176	15	,	,	PUNCT
ajst-20172	176	16	&	&	CCONJ
ajst-20172	176	17	jia	jia	PROPN
ajst-20172	176	18	,	,	PUNCT
ajst-20172	176	19	w.	w.	PROPN
ajst-20172	176	20	(	(	PUNCT
ajst-20172	176	21	2018	2018	NUM
ajst-20172	176	22	)	)	PUNCT
ajst-20172	176	23	.	.	PUNCT
ajst-20172	177	1	relation	relation	NOUN
ajst-20172	177	2	classification	classification	NOUN
ajst-20172	177	3	using	use	VERB
ajst-20172	177	4	coarse	coarse	NOUN
ajst-20172	177	5	and	and	CCONJ
ajst-20172	177	6	fine	fine	ADV
ajst-20172	177	7	-	-	PUNCT
ajst-20172	177	8	grained	grain	VERB
ajst-20172	177	9	networks	network	NOUN
ajst-20172	177	10	with	with	ADP
ajst-20172	177	11	sdp	sdp	NOUN
ajst-20172	177	12	supervised	supervise	VERB
ajst-20172	177	13	key	key	ADJ
ajst-20172	177	14	words	word	NOUN
ajst-20172	177	15	selection	selection	NOUN
ajst-20172	177	16	.	.	PUNCT
ajst-20172	178	1	in	in	ADP
ajst-20172	178	2	knowledge	knowledge	NOUN
ajst-20172	178	3	science	science	NOUN
ajst-20172	178	4	,	,	PUNCT
ajst-20172	178	5	engineering	engineering	NOUN
ajst-20172	178	6	and	and	CCONJ
ajst-20172	178	7	management	management	NOUN
ajst-20172	178	8	:	:	PUNCT
ajst-20172	178	9	11th	11th	ADJ
ajst-20172	178	10	international	international	ADJ
ajst-20172	178	11	conference	conference	NOUN
ajst-20172	178	12	,	,	PUNCT
ajst-20172	178	13	ksem	ksem	PROPN
ajst-20172	178	14	2018	2018	NUM
ajst-20172	178	15	,	,	PUNCT
ajst-20172	178	16	changchun	changchun	PROPN
ajst-20172	178	17	,	,	PUNCT
ajst-20172	178	18	china	china	PROPN
ajst-20172	178	19	,	,	PUNCT
ajst-20172	178	20	august	august	PROPN
ajst-20172	178	21	17–19	17–19	NUM
ajst-20172	178	22	,	,	PUNCT
ajst-20172	178	23	2018	2018	NUM
ajst-20172	178	24	,	,	PUNCT
ajst-20172	178	25	proceedings	proceeding	NOUN
ajst-20172	178	26	,	,	PUNCT
ajst-20172	178	27	part	part	NOUN
ajst-20172	178	28	i	i	PRON
ajst-20172	178	29	11	11	NUM
ajst-20172	178	30	(	(	PUNCT
ajst-20172	178	31	pp	pp	ADJ
ajst-20172	178	32	.	.	PUNCT
ajst-20172	179	1	514	514	NUM
ajst-20172	179	2	-	-	SYM
ajst-20172	179	3	522	522	NUM
ajst-20172	179	4	)	)	PUNCT
ajst-20172	179	5	.	.	PUNCT
ajst-20172	180	1	springer	springer	NOUN
ajst-20172	180	2	international	international	ADJ
ajst-20172	180	3	publishing	publishing	NOUN
ajst-20172	180	4	.	.	PUNCT