id	sid	tid	token	lemma	pos
fcis-19695	1	1	frontiers	frontier	NOUN
fcis-19695	1	2	in	in	ADP
fcis-19695	1	3	computing	computing	NOUN
fcis-19695	1	4	and	and	CCONJ
fcis-19695	1	5	intelligent	intelligent	ADJ
fcis-19695	1	6	systems	system	NOUN
fcis-19695	1	7	issn	issn	VERB
fcis-19695	1	8	:	:	PUNCT
fcis-19695	1	9	2832	2832	NUM
fcis-19695	1	10	-	-	SYM
fcis-19695	1	11	6024	6024	NUM
fcis-19695	1	12	|	|	NOUN
fcis-19695	1	13	vol	vol	NOUN
fcis-19695	1	14	.	.	PROPN
fcis-19695	2	1	7	7	NUM
fcis-19695	2	2	,	,	PUNCT
fcis-19695	2	3	no	no	INTJ
fcis-19695	2	4	.	.	NOUN
fcis-19695	2	5	3	3	NUM
fcis-19695	2	6	,	,	PUNCT
fcis-19695	2	7	2024	2024	NUM
fcis-19695	2	8	72	72	NUM
fcis-19695	2	9	research	research	NOUN
fcis-19695	2	10	and	and	CCONJ
fcis-19695	2	11	application	application	NOUN
fcis-19695	2	12	of	of	ADP
fcis-19695	2	13	deep	deep	ADJ
fcis-19695	2	14	learning	learning	NOUN
fcis-19695	2	15	in	in	ADP
fcis-19695	2	16	medical	medical	ADJ
fcis-19695	2	17	image	image	NOUN
fcis-19695	2	18	reconstruction	reconstruction	NOUN
fcis-19695	2	19	and	and	CCONJ
fcis-19695	2	20	enhancement	enhancement	NOUN
fcis-19695	2	21	yulu	yulu	VERB
fcis-19695	2	22	gong	gong	PROPN
fcis-19695	2	23	1	1	NUM
fcis-19695	2	24	,	,	PUNCT
fcis-19695	2	25	hongjie	hongjie	PROPN
fcis-19695	2	26	qiu	qiu	PROPN
fcis-19695	2	27	2	2	NUM
fcis-19695	2	28	,	,	PUNCT
fcis-19695	2	29	xiaoyi	xiaoyi	PROPN
fcis-19695	2	30	liu	liu	PROPN
fcis-19695	2	31	3	3	PROPN
fcis-19695	2	32	,	,	PUNCT
fcis-19695	2	33	yutian	yutian	ADJ
fcis-19695	2	34	yang	yang	PROPN
fcis-19695	2	35	4	4	NUM
fcis-19695	2	36	,	,	PUNCT
fcis-19695	2	37	mengran	mengran	NOUN
fcis-19695	2	38	zhu	zhu	PROPN
fcis-19695	2	39	5	5	NUM
fcis-19695	2	40	1	1	NUM
fcis-19695	2	41	northem	northem	PROPN
fcis-19695	2	42	arizona	arizona	PROPN
fcis-19695	2	43	university	university	PROPN
fcis-19695	2	44	,	,	PUNCT
fcis-19695	2	45	flagstaff	flagstaff	PROPN
fcis-19695	2	46	,	,	PUNCT
fcis-19695	2	47	usa	usa	PROPN
fcis-19695	2	48	2	2	NUM
fcis-19695	2	49	university	university	PROPN
fcis-19695	2	50	of	of	ADP
fcis-19695	2	51	washington	washington	PROPN
fcis-19695	2	52	,	,	PUNCT
fcis-19695	2	53	seattle	seattle	PROPN
fcis-19695	2	54	,	,	PUNCT
fcis-19695	2	55	usa	usa	PROPN
fcis-19695	2	56	3	3	NUM
fcis-19695	2	57	arizona	arizona	PROPN
fcis-19695	2	58	state	state	PROPN
fcis-19695	2	59	university	university	PROPN
fcis-19695	2	60	,	,	PUNCT
fcis-19695	2	61	phoenix	phoenix	PROPN
fcis-19695	2	62	,	,	PUNCT
fcis-19695	2	63	usa	usa	PROPN
fcis-19695	2	64	4	4	NUM
fcis-19695	2	65	university	university	PROPN
fcis-19695	2	66	of	of	ADP
fcis-19695	2	67	califomia	califomia	PROPN
fcis-19695	2	68	,	,	PUNCT
fcis-19695	2	69	davis	davis	PROPN
fcis-19695	2	70	,	,	PUNCT
fcis-19695	2	71	davis	davis	PROPN
fcis-19695	2	72	usa	usa	PROPN
fcis-19695	2	73	5	5	PROPN
fcis-19695	2	74	miami	miami	PROPN
fcis-19695	2	75	university	university	PROPN
fcis-19695	2	76	,	,	PUNCT
fcis-19695	2	77	oxford	oxford	PROPN
fcis-19695	2	78	,	,	PUNCT
fcis-19695	2	79	usa	usa	PROPN
fcis-19695	2	80	abstract	abstract	PROPN
fcis-19695	2	81	:	:	PUNCT
fcis-19695	2	82	in	in	ADP
fcis-19695	2	83	recent	recent	ADJ
fcis-19695	2	84	years	year	NOUN
fcis-19695	2	85	,	,	PUNCT
fcis-19695	2	86	deep	deep	ADJ
fcis-19695	2	87	learning	learning	NOUN
fcis-19695	2	88	technology	technology	NOUN
fcis-19695	2	89	has	have	AUX
fcis-19695	2	90	made	make	VERB
fcis-19695	2	91	remarkable	remarkable	ADJ
fcis-19695	2	92	progress	progress	NOUN
fcis-19695	2	93	in	in	ADP
fcis-19695	2	94	medical	medical	ADJ
fcis-19695	2	95	image	image	NOUN
fcis-19695	2	96	reconstruction	reconstruction	NOUN
fcis-19695	2	97	and	and	CCONJ
fcis-19695	2	98	enhancement	enhancement	NOUN
fcis-19695	2	99	,	,	PUNCT
fcis-19695	2	100	and	and	CCONJ
fcis-19695	2	101	has	have	AUX
fcis-19695	2	102	become	become	VERB
fcis-19695	2	103	one	one	NUM
fcis-19695	2	104	of	of	ADP
fcis-19695	2	105	the	the	DET
fcis-19695	2	106	research	research	NOUN
fcis-19695	2	107	hotspots	hotspot	NOUN
fcis-19695	2	108	in	in	ADP
fcis-19695	2	109	the	the	DET
fcis-19695	2	110	field	field	NOUN
fcis-19695	2	111	of	of	ADP
fcis-19695	2	112	medical	medical	ADJ
fcis-19695	2	113	image	image	NOUN
fcis-19695	2	114	processing	processing	NOUN
fcis-19695	2	115	.	.	PUNCT
fcis-19695	3	1	this	this	DET
fcis-19695	3	2	paper	paper	NOUN
fcis-19695	3	3	discusses	discuss	VERB
fcis-19695	3	4	the	the	DET
fcis-19695	3	5	latest	late	ADJ
fcis-19695	3	6	research	research	NOUN
fcis-19695	3	7	progress	progress	NOUN
fcis-19695	3	8	and	and	CCONJ
fcis-19695	3	9	application	application	NOUN
fcis-19695	3	10	of	of	ADP
fcis-19695	3	11	deep	deep	ADJ
fcis-19695	3	12	learning	learning	NOUN
fcis-19695	3	13	in	in	ADP
fcis-19695	3	14	medical	medical	ADJ
fcis-19695	3	15	image	image	NOUN
fcis-19695	3	16	reconstruction	reconstruction	NOUN
fcis-19695	3	17	and	and	CCONJ
fcis-19695	3	18	enhancement	enhancement	NOUN
fcis-19695	3	19	.	.	PUNCT
fcis-19695	4	1	firstly	firstly	ADV
fcis-19695	4	2	,	,	PUNCT
fcis-19695	4	3	the	the	DET
fcis-19695	4	4	importance	importance	NOUN
fcis-19695	4	5	of	of	ADP
fcis-19695	4	6	medical	medical	ADJ
fcis-19695	4	7	image	image	NOUN
fcis-19695	4	8	reconstruction	reconstruction	NOUN
fcis-19695	4	9	and	and	CCONJ
fcis-19695	4	10	enhancement	enhancement	NOUN
fcis-19695	4	11	and	and	CCONJ
fcis-19695	4	12	the	the	DET
fcis-19695	4	13	limitations	limitation	NOUN
fcis-19695	4	14	of	of	ADP
fcis-19695	4	15	traditional	traditional	ADJ
fcis-19695	4	16	methods	method	NOUN
fcis-19695	4	17	are	be	AUX
fcis-19695	4	18	introduced	introduce	VERB
fcis-19695	4	19	.	.	PUNCT
fcis-19695	5	1	then	then	ADV
fcis-19695	5	2	,	,	PUNCT
fcis-19695	5	3	a	a	DET
fcis-19695	5	4	detailed	detailed	ADJ
fcis-19695	5	5	discussion	discussion	NOUN
fcis-19695	5	6	was	be	AUX
fcis-19695	5	7	conducted	conduct	VERB
fcis-19695	5	8	on	on	ADP
fcis-19695	5	9	the	the	DET
fcis-19695	5	10	application	application	NOUN
fcis-19695	5	11	of	of	ADP
fcis-19695	5	12	deep	deep	ADJ
fcis-19695	5	13	learning	learning	NOUN
fcis-19695	5	14	models	model	NOUN
fcis-19695	5	15	,	,	PUNCT
fcis-19695	5	16	including	include	VERB
fcis-19695	5	17	convolutional	convolutional	ADJ
fcis-19695	5	18	neural	neural	ADJ
fcis-19695	5	19	networks	network	NOUN
fcis-19695	5	20	(	(	PUNCT
fcis-19695	5	21	cnn	cnn	PROPN
fcis-19695	5	22	)	)	PUNCT
fcis-19695	5	23	,	,	PUNCT
fcis-19695	5	24	generative	generative	ADJ
fcis-19695	5	25	adversarial	adversarial	ADJ
fcis-19695	5	26	networks	network	NOUN
fcis-19695	5	27	(	(	PUNCT
fcis-19695	5	28	gan	gan	PROPN
fcis-19695	5	29	)	)	PUNCT
fcis-19695	5	30	,	,	PUNCT
fcis-19695	5	31	and	and	CCONJ
fcis-19695	5	32	autoencoders	autoencoder	NOUN
fcis-19695	5	33	,	,	PUNCT
fcis-19695	5	34	in	in	ADP
fcis-19695	5	35	medical	medical	ADJ
fcis-19695	5	36	image	image	NOUN
fcis-19695	5	37	processing	processing	NOUN
fcis-19695	5	38	.	.	PUNCT
fcis-19695	6	1	specifically	specifically	ADV
fcis-19695	6	2	,	,	PUNCT
fcis-19695	6	3	an	an	DET
fcis-19695	6	4	analysis	analysis	NOUN
fcis-19695	6	5	and	and	CCONJ
fcis-19695	6	6	comparison	comparison	NOUN
fcis-19695	6	7	were	be	AUX
fcis-19695	6	8	conducted	conduct	VERB
fcis-19695	6	9	on	on	ADP
fcis-19695	6	10	the	the	DET
fcis-19695	6	11	image	image	NOUN
fcis-19695	6	12	reconstruction	reconstruction	NOUN
fcis-19695	6	13	ability	ability	NOUN
fcis-19695	6	14	of	of	ADP
fcis-19695	6	15	cnn	cnn	PROPN
fcis-19695	6	16	models	model	NOUN
fcis-19695	6	17	,	,	PUNCT
fcis-19695	6	18	the	the	DET
fcis-19695	6	19	image	image	NOUN
fcis-19695	6	20	enhancement	enhancement	NOUN
fcis-19695	6	21	effect	effect	NOUN
fcis-19695	6	22	of	of	ADP
fcis-19695	6	23	gan	gan	PROPN
fcis-19695	6	24	models	model	NOUN
fcis-19695	6	25	,	,	PUNCT
fcis-19695	6	26	and	and	CCONJ
fcis-19695	6	27	the	the	DET
fcis-19695	6	28	image	image	NOUN
fcis-19695	6	29	denoising	denoising	NOUN
fcis-19695	6	30	and	and	CCONJ
fcis-19695	6	31	reconstruction	reconstruction	NOUN
fcis-19695	6	32	of	of	ADP
fcis-19695	6	33	autoencoder	autoencoder	NOUN
fcis-19695	6	34	models	model	NOUN
fcis-19695	6	35	.	.	PUNCT
fcis-19695	7	1	then	then	ADV
fcis-19695	7	2	,	,	PUNCT
fcis-19695	7	3	the	the	DET
fcis-19695	7	4	advantages	advantage	NOUN
fcis-19695	7	5	and	and	CCONJ
fcis-19695	7	6	challenges	challenge	NOUN
fcis-19695	7	7	of	of	ADP
fcis-19695	7	8	deep	deep	ADJ
fcis-19695	7	9	learning	learning	NOUN
fcis-19695	7	10	model	model	NOUN
fcis-19695	7	11	in	in	ADP
fcis-19695	7	12	medical	medical	ADJ
fcis-19695	7	13	image	image	NOUN
fcis-19695	7	14	processing	processing	NOUN
fcis-19695	7	15	are	be	AUX
fcis-19695	7	16	discussed	discuss	VERB
fcis-19695	7	17	,	,	PUNCT
fcis-19695	7	18	and	and	CCONJ
fcis-19695	7	19	the	the	DET
fcis-19695	7	20	future	future	ADJ
fcis-19695	7	21	development	development	NOUN
fcis-19695	7	22	direction	direction	NOUN
fcis-19695	7	23	is	be	AUX
fcis-19695	7	24	discussed	discuss	VERB
fcis-19695	7	25	.	.	PUNCT
fcis-19695	8	1	finally	finally	ADV
fcis-19695	8	2	,	,	PUNCT
fcis-19695	8	3	the	the	DET
fcis-19695	8	4	research	research	NOUN
fcis-19695	8	5	results	result	NOUN
fcis-19695	8	6	of	of	ADP
fcis-19695	8	7	this	this	DET
fcis-19695	8	8	paper	paper	NOUN
fcis-19695	8	9	are	be	AUX
fcis-19695	8	10	summarized	summarize	VERB
fcis-19695	8	11	and	and	CCONJ
fcis-19695	8	12	the	the	DET
fcis-19695	8	13	prospect	prospect	NOUN
fcis-19695	8	14	of	of	ADP
fcis-19695	8	15	future	future	ADJ
fcis-19695	8	16	research	research	NOUN
fcis-19695	8	17	is	be	AUX
fcis-19695	8	18	put	put	VERB
fcis-19695	8	19	forward	forward	ADV
fcis-19695	8	20	.	.	PUNCT
fcis-19695	9	1	the	the	DET
fcis-19695	9	2	research	research	NOUN
fcis-19695	9	3	in	in	ADP
fcis-19695	9	4	this	this	DET
fcis-19695	9	5	paper	paper	NOUN
fcis-19695	9	6	provides	provide	VERB
fcis-19695	9	7	some	some	DET
fcis-19695	9	8	enlightenment	enlightenment	NOUN
fcis-19695	9	9	and	and	CCONJ
fcis-19695	9	10	reference	reference	NOUN
fcis-19695	9	11	for	for	ADP
fcis-19695	9	12	researchers	researcher	NOUN
fcis-19695	9	13	and	and	CCONJ
fcis-19695	9	14	practitioners	practitioner	NOUN
fcis-19695	9	15	in	in	ADP
fcis-19695	9	16	the	the	DET
fcis-19695	9	17	field	field	NOUN
fcis-19695	9	18	of	of	ADP
fcis-19695	9	19	medical	medical	ADJ
fcis-19695	9	20	image	image	NOUN
fcis-19695	9	21	processing	processing	NOUN
fcis-19695	9	22	,	,	PUNCT
fcis-19695	9	23	which	which	PRON
fcis-19695	9	24	is	be	AUX
fcis-19695	9	25	helpful	helpful	ADJ
fcis-19695	9	26	to	to	PART
fcis-19695	9	27	promote	promote	VERB
fcis-19695	9	28	the	the	DET
fcis-19695	9	29	continuous	continuous	ADJ
fcis-19695	9	30	innovation	innovation	NOUN
fcis-19695	9	31	and	and	CCONJ
fcis-19695	9	32	progress	progress	NOUN
fcis-19695	9	33	of	of	ADP
fcis-19695	9	34	medical	medical	ADJ
fcis-19695	9	35	image	image	NOUN
fcis-19695	9	36	processing	processing	NOUN
fcis-19695	9	37	technology	technology	NOUN
fcis-19695	9	38	.	.	PUNCT
fcis-19695	10	1	keywords	keyword	NOUN
fcis-19695	10	2	:	:	PUNCT
fcis-19695	10	3	medical	medical	ADJ
fcis-19695	10	4	image	image	NOUN
fcis-19695	10	5	;	;	PUNCT
fcis-19695	10	6	deep	deep	ADJ
fcis-19695	10	7	learning	learning	NOUN
fcis-19695	10	8	;	;	PUNCT
fcis-19695	10	9	reconstruction	reconstruction	NOUN
fcis-19695	10	10	;	;	PUNCT
fcis-19695	10	11	enhancement	enhancement	NOUN
fcis-19695	10	12	.	.	PUNCT
fcis-19695	11	1	1	1	X
fcis-19695	11	2	.	.	X
fcis-19695	11	3	introduction	introduction	NOUN
fcis-19695	11	4	medical	medical	ADJ
fcis-19695	11	5	images	image	NOUN
fcis-19695	11	6	play	play	VERB
fcis-19695	11	7	a	a	DET
fcis-19695	11	8	vital	vital	ADJ
fcis-19695	11	9	role	role	NOUN
fcis-19695	11	10	in	in	ADP
fcis-19695	11	11	modern	modern	ADJ
fcis-19695	11	12	medical	medical	ADJ
fcis-19695	11	13	diagnosis	diagnosis	NOUN
fcis-19695	11	14	and	and	CCONJ
fcis-19695	11	15	treatment	treatment	NOUN
fcis-19695	11	16	.	.	PUNCT
fcis-19695	12	1	with	with	ADP
fcis-19695	12	2	the	the	DET
fcis-19695	12	3	continuous	continuous	ADJ
fcis-19695	12	4	development	development	NOUN
fcis-19695	12	5	of	of	ADP
fcis-19695	12	6	medical	medical	ADJ
fcis-19695	12	7	imaging	imaging	NOUN
fcis-19695	12	8	technology	technology	NOUN
fcis-19695	12	9	,	,	PUNCT
fcis-19695	12	10	various	various	ADJ
fcis-19695	12	11	medical	medical	ADJ
fcis-19695	12	12	image	image	NOUN
fcis-19695	12	13	data	datum	NOUN
fcis-19695	12	14	,	,	PUNCT
fcis-19695	12	15	such	such	ADJ
fcis-19695	12	16	as	as	ADP
fcis-19695	12	17	radiology	radiology	NOUN
fcis-19695	12	18	images	image	NOUN
fcis-19695	12	19	,	,	PUNCT
fcis-19695	12	20	medical	medical	ADJ
fcis-19695	12	21	ultrasound	ultrasound	NOUN
fcis-19695	12	22	images	image	NOUN
fcis-19695	12	23	and	and	CCONJ
fcis-19695	12	24	pathological	pathological	ADJ
fcis-19695	12	25	images	image	NOUN
fcis-19695	12	26	,	,	PUNCT
fcis-19695	12	27	are	be	AUX
fcis-19695	12	28	constantly	constantly	ADV
fcis-19695	12	29	emerging	emerge	VERB
fcis-19695	12	30	,	,	PUNCT
fcis-19695	12	31	which	which	PRON
fcis-19695	12	32	provide	provide	VERB
fcis-19695	12	33	doctors	doctor	NOUN
fcis-19695	12	34	with	with	ADP
fcis-19695	12	35	rich	rich	ADJ
fcis-19695	12	36	information	information	NOUN
fcis-19695	12	37	and	and	CCONJ
fcis-19695	12	38	help	help	VERB
fcis-19695	12	39	them	they	PRON
fcis-19695	12	40	make	make	VERB
fcis-19695	12	41	accurate	accurate	ADJ
fcis-19695	12	42	diagnosis	diagnosis	NOUN
fcis-19695	12	43	and	and	CCONJ
fcis-19695	12	44	treatment	treatment	NOUN
fcis-19695	12	45	plans	plan	NOUN
fcis-19695	12	46	[	[	X
fcis-19695	12	47	1	1	NUM
fcis-19695	12	48	-	-	SYM
fcis-19695	12	49	2	2	NUM
fcis-19695	12	50	]	]	PUNCT
fcis-19695	12	51	.	.	PUNCT
fcis-19695	13	1	however	however	ADV
fcis-19695	13	2	,	,	PUNCT
fcis-19695	13	3	because	because	SCONJ
fcis-19695	13	4	the	the	DET
fcis-19695	13	5	acquisition	acquisition	NOUN
fcis-19695	13	6	process	process	NOUN
fcis-19695	13	7	of	of	ADP
fcis-19695	13	8	medical	medical	ADJ
fcis-19695	13	9	images	image	NOUN
fcis-19695	13	10	is	be	AUX
fcis-19695	13	11	limited	limit	VERB
fcis-19695	13	12	by	by	ADP
fcis-19695	13	13	equipment	equipment	NOUN
fcis-19695	13	14	and	and	CCONJ
fcis-19695	13	15	technology	technology	NOUN
fcis-19695	13	16	,	,	PUNCT
fcis-19695	13	17	images	image	NOUN
fcis-19695	13	18	may	may	AUX
fcis-19695	13	19	be	be	AUX
fcis-19695	13	20	affected	affect	VERB
fcis-19695	13	21	by	by	ADP
fcis-19695	13	22	noise	noise	NOUN
fcis-19695	13	23	,	,	PUNCT
fcis-19695	13	24	artifacts	artifact	NOUN
fcis-19695	13	25	,	,	PUNCT
fcis-19695	13	26	insufficient	insufficient	ADJ
fcis-19695	13	27	resolution	resolution	NOUN
fcis-19695	13	28	and	and	CCONJ
fcis-19695	13	29	other	other	ADJ
fcis-19695	13	30	problems	problem	NOUN
fcis-19695	13	31	,	,	PUNCT
fcis-19695	13	32	which	which	PRON
fcis-19695	13	33	reduces	reduce	VERB
fcis-19695	13	34	the	the	DET
fcis-19695	13	35	quality	quality	NOUN
fcis-19695	13	36	and	and	CCONJ
fcis-19695	13	37	usability	usability	NOUN
fcis-19695	13	38	of	of	ADP
fcis-19695	13	39	medical	medical	ADJ
fcis-19695	13	40	images	image	NOUN
fcis-19695	13	41	.	.	PUNCT
fcis-19695	14	1	traditional	traditional	ADJ
fcis-19695	14	2	medical	medical	ADJ
fcis-19695	14	3	image	image	NOUN
fcis-19695	14	4	reconstruction	reconstruction	NOUN
fcis-19695	14	5	and	and	CCONJ
fcis-19695	14	6	enhancement	enhancement	NOUN
fcis-19695	14	7	methods	method	NOUN
fcis-19695	14	8	are	be	AUX
fcis-19695	14	9	often	often	ADV
fcis-19695	14	10	based	base	VERB
fcis-19695	14	11	on	on	ADP
fcis-19695	14	12	mathematical	mathematical	ADJ
fcis-19695	14	13	models	model	NOUN
fcis-19695	14	14	and	and	CCONJ
fcis-19695	14	15	signal	signal	VERB
fcis-19695	14	16	processing	processing	NOUN
fcis-19695	14	17	techniques	technique	NOUN
fcis-19695	14	18	,	,	PUNCT
fcis-19695	14	19	such	such	ADJ
fcis-19695	14	20	as	as	ADP
fcis-19695	14	21	filtering	filtering	NOUN
fcis-19695	14	22	,	,	PUNCT
fcis-19695	14	23	interpolation	interpolation	NOUN
fcis-19695	14	24	,	,	PUNCT
fcis-19695	14	25	denoising	denoising	NOUN
fcis-19695	14	26	and	and	CCONJ
fcis-19695	14	27	so	so	ADV
fcis-19695	14	28	on	on	ADP
fcis-19695	14	29	[	[	PUNCT
fcis-19695	14	30	3	3	NUM
fcis-19695	14	31	-	-	SYM
fcis-19695	14	32	6	6	NUM
fcis-19695	14	33	]	]	PUNCT
fcis-19695	14	34	.	.	PUNCT
fcis-19695	15	1	although	although	SCONJ
fcis-19695	15	2	these	these	DET
fcis-19695	15	3	methods	method	NOUN
fcis-19695	15	4	can	can	AUX
fcis-19695	15	5	improve	improve	VERB
fcis-19695	15	6	the	the	DET
fcis-19695	15	7	image	image	NOUN
fcis-19695	15	8	quality	quality	NOUN
fcis-19695	15	9	to	to	ADP
fcis-19695	15	10	a	a	DET
fcis-19695	15	11	certain	certain	ADJ
fcis-19695	15	12	extent	extent	NOUN
fcis-19695	15	13	,	,	PUNCT
fcis-19695	15	14	they	they	PRON
fcis-19695	15	15	often	often	ADV
fcis-19695	15	16	rely	rely	VERB
fcis-19695	15	17	on	on	ADP
fcis-19695	15	18	manually	manually	ADV
fcis-19695	15	19	designed	design	VERB
fcis-19695	15	20	feature	feature	NOUN
fcis-19695	15	21	extractors	extractor	NOUN
fcis-19695	15	22	and	and	CCONJ
fcis-19695	15	23	manually	manually	ADV
fcis-19695	15	24	adjusted	adjust	VERB
fcis-19695	15	25	parameters	parameter	NOUN
fcis-19695	15	26	,	,	PUNCT
fcis-19695	15	27	which	which	PRON
fcis-19695	15	28	are	be	AUX
fcis-19695	15	29	difficult	difficult	ADJ
fcis-19695	15	30	to	to	PART
fcis-19695	15	31	adapt	adapt	VERB
fcis-19695	15	32	to	to	ADP
fcis-19695	15	33	complex	complex	ADJ
fcis-19695	15	34	and	and	CCONJ
fcis-19695	15	35	changeable	changeable	ADJ
fcis-19695	15	36	medical	medical	ADJ
fcis-19695	15	37	image	image	NOUN
fcis-19695	15	38	data	datum	NOUN
fcis-19695	15	39	.	.	PUNCT
fcis-19695	16	1	in	in	ADP
fcis-19695	16	2	addition	addition	NOUN
fcis-19695	16	3	,	,	PUNCT
fcis-19695	16	4	these	these	DET
fcis-19695	16	5	methods	method	NOUN
fcis-19695	16	6	often	often	ADV
fcis-19695	16	7	fail	fail	VERB
fcis-19695	16	8	to	to	PART
fcis-19695	16	9	deal	deal	VERB
fcis-19695	16	10	with	with	ADP
fcis-19695	16	11	noise	noise	NOUN
fcis-19695	16	12	and	and	CCONJ
fcis-19695	16	13	complex	complex	ADJ
fcis-19695	16	14	structures	structure	NOUN
fcis-19695	16	15	in	in	ADP
fcis-19695	16	16	images	image	NOUN
fcis-19695	16	17	,	,	PUNCT
fcis-19695	16	18	which	which	PRON
fcis-19695	16	19	limits	limit	VERB
fcis-19695	16	20	their	their	PRON
fcis-19695	16	21	practicability	practicability	NOUN
fcis-19695	16	22	in	in	ADP
fcis-19695	16	23	clinical	clinical	ADJ
fcis-19695	16	24	application	application	NOUN
fcis-19695	16	25	.	.	PUNCT
fcis-19695	17	1	with	with	ADP
fcis-19695	17	2	the	the	DET
fcis-19695	17	3	rapid	rapid	ADJ
fcis-19695	17	4	development	development	NOUN
fcis-19695	17	5	of	of	ADP
fcis-19695	17	6	deep	deep	ADJ
fcis-19695	17	7	learning	learning	NOUN
fcis-19695	17	8	technology	technology	NOUN
fcis-19695	17	9	,	,	PUNCT
fcis-19695	17	10	especially	especially	ADV
fcis-19695	17	11	the	the	DET
fcis-19695	17	12	rise	rise	NOUN
fcis-19695	17	13	of	of	ADP
fcis-19695	17	14	deep	deep	ADJ
fcis-19695	17	15	learning	learning	NOUN
fcis-19695	17	16	models	model	NOUN
fcis-19695	17	17	such	such	ADJ
fcis-19695	17	18	as	as	ADP
fcis-19695	17	19	convolutional	convolutional	ADJ
fcis-19695	17	20	neural	neural	ADJ
fcis-19695	17	21	networks	network	NOUN
fcis-19695	17	22	(	(	PUNCT
fcis-19695	17	23	cnn	cnn	PROPN
fcis-19695	17	24	)	)	PUNCT
fcis-19695	17	25	,	,	PUNCT
fcis-19695	17	26	generative	generative	ADJ
fcis-19695	17	27	adversarial	adversarial	ADJ
fcis-19695	17	28	networks	network	NOUN
fcis-19695	17	29	(	(	PUNCT
fcis-19695	17	30	gan	gan	PROPN
fcis-19695	17	31	)	)	PUNCT
fcis-19695	17	32	,	,	PUNCT
fcis-19695	17	33	and	and	CCONJ
fcis-19695	17	34	autoencoder	autoencoder	NOUN
fcis-19695	17	35	,	,	PUNCT
fcis-19695	17	36	the	the	DET
fcis-19695	17	37	field	field	NOUN
fcis-19695	17	38	of	of	ADP
fcis-19695	17	39	medical	medical	ADJ
fcis-19695	17	40	image	image	NOUN
fcis-19695	17	41	reconstruction	reconstruction	NOUN
fcis-19695	17	42	and	and	CCONJ
fcis-19695	17	43	enhancement	enhancement	NOUN
fcis-19695	17	44	has	have	AUX
fcis-19695	17	45	also	also	ADV
fcis-19695	17	46	ushered	usher	VERB
fcis-19695	17	47	in	in	ADP
fcis-19695	17	48	new	new	ADJ
fcis-19695	17	49	opportunities	opportunity	NOUN
fcis-19695	17	50	and	and	CCONJ
fcis-19695	17	51	challenges	challenge	NOUN
fcis-19695	17	52	[	[	PUNCT
fcis-19695	17	53	7	7	NUM
fcis-19695	17	54	-	-	SYM
fcis-19695	17	55	9	9	NUM
fcis-19695	17	56	]	]	PUNCT
fcis-19695	17	57	.	.	PUNCT
fcis-19695	18	1	through	through	ADP
fcis-19695	18	2	end	end	NOUN
fcis-19695	18	3	-	-	PUNCT
fcis-19695	18	4	to	to	ADP
fcis-19695	18	5	-	-	PUNCT
fcis-19695	18	6	end	end	NOUN
fcis-19695	18	7	learning	learning	NOUN
fcis-19695	18	8	,	,	PUNCT
fcis-19695	18	9	the	the	DET
fcis-19695	18	10	deep	deep	ADJ
fcis-19695	18	11	learning	learning	NOUN
fcis-19695	18	12	model	model	NOUN
fcis-19695	18	13	can	can	AUX
fcis-19695	18	14	learn	learn	VERB
fcis-19695	18	15	richer	rich	ADJ
fcis-19695	18	16	and	and	CCONJ
fcis-19695	18	17	more	more	ADJ
fcis-19695	18	18	abstract	abstract	ADJ
fcis-19695	18	19	feature	feature	NOUN
fcis-19695	18	20	representations	representation	NOUN
fcis-19695	18	21	from	from	ADP
fcis-19695	18	22	the	the	DET
fcis-19695	18	23	original	original	ADJ
fcis-19695	18	24	data	datum	NOUN
fcis-19695	18	25	,	,	PUNCT
fcis-19695	18	26	and	and	CCONJ
fcis-19695	18	27	then	then	ADV
fcis-19695	18	28	realize	realize	VERB
fcis-19695	18	29	the	the	DET
fcis-19695	18	30	accurate	accurate	ADJ
fcis-19695	18	31	reconstruction	reconstruction	NOUN
fcis-19695	18	32	and	and	CCONJ
fcis-19695	18	33	enhancement	enhancement	NOUN
fcis-19695	18	34	of	of	ADP
fcis-19695	18	35	medical	medical	ADJ
fcis-19695	18	36	images	image	NOUN
fcis-19695	18	37	.	.	PUNCT
fcis-19695	19	1	compared	compare	VERB
fcis-19695	19	2	with	with	ADP
fcis-19695	19	3	traditional	traditional	ADJ
fcis-19695	19	4	methods	method	NOUN
fcis-19695	19	5	,	,	PUNCT
fcis-19695	19	6	the	the	DET
fcis-19695	19	7	deep	deep	ADJ
fcis-19695	19	8	learning	learning	NOUN
fcis-19695	19	9	model	model	NOUN
fcis-19695	19	10	has	have	VERB
fcis-19695	19	11	higher	high	ADJ
fcis-19695	19	12	accuracy	accuracy	NOUN
fcis-19695	19	13	and	and	CCONJ
fcis-19695	19	14	adaptability	adaptability	NOUN
fcis-19695	19	15	,	,	PUNCT
fcis-19695	19	16	and	and	CCONJ
fcis-19695	19	17	can	can	AUX
fcis-19695	19	18	better	well	ADV
fcis-19695	19	19	handle	handle	VERB
fcis-19695	19	20	different	different	ADJ
fcis-19695	19	21	types	type	NOUN
fcis-19695	19	22	of	of	ADP
fcis-19695	19	23	medical	medical	ADJ
fcis-19695	19	24	image	image	NOUN
fcis-19695	19	25	data	datum	NOUN
fcis-19695	19	26	with	with	ADP
fcis-19695	19	27	different	different	ADJ
fcis-19695	19	28	quality	quality	NOUN
fcis-19695	19	29	.	.	PUNCT
fcis-19695	20	1	this	this	DET
fcis-19695	20	2	paper	paper	NOUN
fcis-19695	20	3	aims	aim	VERB
fcis-19695	20	4	to	to	PART
fcis-19695	20	5	discuss	discuss	VERB
fcis-19695	20	6	the	the	DET
fcis-19695	20	7	latest	late	ADJ
fcis-19695	20	8	progress	progress	NOUN
fcis-19695	20	9	and	and	CCONJ
fcis-19695	20	10	application	application	NOUN
fcis-19695	20	11	of	of	ADP
fcis-19695	20	12	deep	deep	ADJ
fcis-19695	20	13	learning	learning	NOUN
fcis-19695	20	14	in	in	ADP
fcis-19695	20	15	medical	medical	ADJ
fcis-19695	20	16	image	image	NOUN
fcis-19695	20	17	reconstruction	reconstruction	NOUN
fcis-19695	20	18	and	and	CCONJ
fcis-19695	20	19	enhancement	enhancement	NOUN
fcis-19695	20	20	,	,	PUNCT
fcis-19695	20	21	discuss	discuss	VERB
fcis-19695	20	22	the	the	DET
fcis-19695	20	23	advantages	advantage	NOUN
fcis-19695	20	24	and	and	CCONJ
fcis-19695	20	25	challenges	challenge	NOUN
fcis-19695	20	26	of	of	ADP
fcis-19695	20	27	deep	deep	ADJ
fcis-19695	20	28	learning	learning	NOUN
fcis-19695	20	29	technology	technology	NOUN
fcis-19695	20	30	in	in	ADP
fcis-19695	20	31	medical	medical	ADJ
fcis-19695	20	32	image	image	NOUN
fcis-19695	20	33	processing	processing	NOUN
fcis-19695	20	34	,	,	PUNCT
fcis-19695	20	35	and	and	CCONJ
fcis-19695	20	36	look	look	VERB
fcis-19695	20	37	forward	forward	ADV
fcis-19695	20	38	to	to	ADP
fcis-19695	20	39	the	the	DET
fcis-19695	20	40	future	future	ADJ
fcis-19695	20	41	development	development	NOUN
fcis-19695	20	42	direction	direction	NOUN
fcis-19695	20	43	.	.	PUNCT
fcis-19695	21	1	through	through	ADP
fcis-19695	21	2	the	the	DET
fcis-19695	21	3	analysis	analysis	NOUN
fcis-19695	21	4	of	of	ADP
fcis-19695	21	5	related	related	ADJ
fcis-19695	21	6	research	research	NOUN
fcis-19695	21	7	and	and	CCONJ
fcis-19695	21	8	cases	case	NOUN
fcis-19695	21	9	,	,	PUNCT
fcis-19695	21	10	i	i	PRON
fcis-19695	21	11	hope	hope	VERB
fcis-19695	21	12	to	to	PART
fcis-19695	21	13	provide	provide	VERB
fcis-19695	21	14	some	some	DET
fcis-19695	21	15	inspiration	inspiration	NOUN
fcis-19695	21	16	and	and	CCONJ
fcis-19695	21	17	reference	reference	NOUN
fcis-19695	21	18	for	for	ADP
fcis-19695	21	19	researchers	researcher	NOUN
fcis-19695	21	20	and	and	CCONJ
fcis-19695	21	21	practitioners	practitioner	NOUN
fcis-19695	21	22	in	in	ADP
fcis-19695	21	23	the	the	DET
fcis-19695	21	24	field	field	NOUN
fcis-19695	21	25	of	of	ADP
fcis-19695	21	26	medical	medical	ADJ
fcis-19695	21	27	image	image	NOUN
fcis-19695	21	28	processing	processing	NOUN
fcis-19695	21	29	,	,	PUNCT
fcis-19695	21	30	and	and	CCONJ
fcis-19695	21	31	promote	promote	VERB
fcis-19695	21	32	the	the	DET
fcis-19695	21	33	continuous	continuous	ADJ
fcis-19695	21	34	innovation	innovation	NOUN
fcis-19695	21	35	and	and	CCONJ
fcis-19695	21	36	progress	progress	NOUN
fcis-19695	21	37	of	of	ADP
fcis-19695	21	38	medical	medical	ADJ
fcis-19695	21	39	image	image	NOUN
fcis-19695	21	40	processing	processing	NOUN
fcis-19695	21	41	technology	technology	NOUN
fcis-19695	21	42	.	.	PUNCT
fcis-19695	22	1	2	2	X
fcis-19695	22	2	.	.	X
fcis-19695	22	3	application	application	NOUN
fcis-19695	22	4	of	of	ADP
fcis-19695	22	5	deep	deep	ADJ
fcis-19695	22	6	learning	learning	NOUN
fcis-19695	22	7	in	in	ADP
fcis-19695	22	8	medical	medical	ADJ
fcis-19695	22	9	image	image	NOUN
fcis-19695	22	10	reconstruction	reconstruction	NOUN
fcis-19695	22	11	and	and	CCONJ
fcis-19695	22	12	enhancement	enhancement	NOUN
fcis-19695	22	13	cnn	cnn	PROPN
fcis-19695	22	14	is	be	AUX
fcis-19695	22	15	a	a	DET
fcis-19695	22	16	deep	deep	ADJ
fcis-19695	22	17	learning	learning	NOUN
fcis-19695	22	18	model	model	NOUN
fcis-19695	22	19	specially	specially	ADV
fcis-19695	22	20	used	use	VERB
fcis-19695	22	21	for	for	ADP
fcis-19695	22	22	processing	process	VERB
fcis-19695	22	23	image	image	NOUN
fcis-19695	22	24	data	datum	NOUN
fcis-19695	22	25	,	,	PUNCT
fcis-19695	22	26	which	which	PRON
fcis-19695	22	27	plays	play	VERB
fcis-19695	22	28	an	an	DET
fcis-19695	22	29	important	important	ADJ
fcis-19695	22	30	role	role	NOUN
fcis-19695	22	31	in	in	ADP
fcis-19695	22	32	medical	medical	ADJ
fcis-19695	22	33	image	image	NOUN
fcis-19695	22	34	reconstruction	reconstruction	NOUN
fcis-19695	22	35	.	.	PUNCT
fcis-19695	23	1	through	through	ADP
fcis-19695	23	2	a	a	DET
fcis-19695	23	3	series	series	NOUN
fcis-19695	23	4	of	of	ADP
fcis-19695	23	5	operations	operation	NOUN
fcis-19695	23	6	such	such	ADJ
fcis-19695	23	7	as	as	ADP
fcis-19695	23	8	convolution	convolution	NOUN
fcis-19695	23	9	,	,	PUNCT
fcis-19695	23	10	pooling	pooling	NOUN
fcis-19695	23	11	and	and	CCONJ
fcis-19695	23	12	nonlinear	nonlinear	ADJ
fcis-19695	23	13	activation	activation	NOUN
fcis-19695	23	14	,	,	PUNCT
fcis-19695	23	15	cnn	cnn	PROPN
fcis-19695	23	16	can	can	AUX
fcis-19695	23	17	learn	learn	VERB
fcis-19695	23	18	the	the	DET
fcis-19695	23	19	feature	feature	NOUN
fcis-19695	23	20	representation	representation	NOUN
fcis-19695	23	21	from	from	ADP
fcis-19695	23	22	the	the	DET
fcis-19695	23	23	original	original	ADJ
fcis-19695	23	24	image	image	NOUN
fcis-19695	23	25	data	datum	NOUN
fcis-19695	23	26	and	and	CCONJ
fcis-19695	23	27	realize	realize	VERB
fcis-19695	23	28	the	the	DET
fcis-19695	23	29	reconstruction	reconstruction	NOUN
fcis-19695	23	30	and	and	CCONJ
fcis-19695	23	31	enhancement	enhancement	NOUN
fcis-19695	23	32	of	of	ADP
fcis-19695	23	33	the	the	DET
fcis-19695	23	34	image	image	NOUN
fcis-19695	23	35	(	(	PUNCT
fcis-19695	23	36	figure	figure	NOUN
fcis-19695	23	37	1	1	NUM
fcis-19695	23	38	)	)	PUNCT
fcis-19695	23	39	.	.	PUNCT
fcis-19695	24	1	in	in	ADP
fcis-19695	24	2	medical	medical	ADJ
fcis-19695	24	3	image	image	NOUN
fcis-19695	24	4	reconstruction	reconstruction	NOUN
fcis-19695	24	5	,	,	PUNCT
fcis-19695	24	6	cnn	cnn	PROPN
fcis-19695	24	7	is	be	AUX
fcis-19695	24	8	often	often	ADV
fcis-19695	24	9	used	use	VERB
fcis-19695	24	10	to	to	PART
fcis-19695	24	11	process	process	VERB
fcis-19695	24	12	radiological	radiological	ADJ
fcis-19695	24	13	images	image	NOUN
fcis-19695	24	14	,	,	PUNCT
fcis-19695	24	15	such	such	ADJ
fcis-19695	24	16	as	as	ADP
fcis-19695	24	17	x	x	NOUN
fcis-19695	24	18	-	-	NOUN
fcis-19695	24	19	ray	ray	NOUN
fcis-19695	24	20	,	,	PUNCT
fcis-19695	24	21	ct	ct	PROPN
fcis-19695	24	22	(	(	PUNCT
fcis-19695	24	23	computed	compute	VERB
fcis-19695	24	24	tomography	tomography	NOUN
fcis-19695	24	25	)	)	PUNCT
fcis-19695	24	26	and	and	CCONJ
fcis-19695	24	27	mri	mri	NOUN
fcis-19695	24	28	(	(	PUNCT
fcis-19695	24	29	magnetic	magnetic	ADJ
fcis-19695	24	30	resonance	resonance	NOUN
fcis-19695	24	31	imaging	imaging	NOUN
fcis-19695	24	32	)	)	PUNCT
fcis-19695	24	33	.	.	PUNCT
fcis-19695	25	1	by	by	ADP
fcis-19695	25	2	training	train	VERB
fcis-19695	25	3	cnn	cnn	PROPN
fcis-19695	25	4	model	model	NOUN
fcis-19695	25	5	,	,	PUNCT
fcis-19695	25	6	low	low	ADJ
fcis-19695	25	7	-	-	PUNCT
fcis-19695	25	8	dose	dose	NOUN
fcis-19695	25	9	or	or	CCONJ
fcis-19695	25	10	low	low	ADJ
fcis-19695	25	11	-	-	PUNCT
fcis-19695	25	12	resolution	resolution	NOUN
fcis-19695	25	13	medical	medical	ADJ
fcis-19695	25	14	images	image	NOUN
fcis-19695	25	15	can	can	AUX
fcis-19695	25	16	be	be	AUX
fcis-19695	25	17	reconstructed	reconstruct	VERB
fcis-19695	25	18	,	,	PUNCT
fcis-19695	25	19	and	and	CCONJ
fcis-19695	25	20	the	the	DET
fcis-19695	25	21	image	image	NOUN
fcis-19695	25	22	quality	quality	NOUN
fcis-19695	25	23	and	and	CCONJ
fcis-19695	25	24	diagnostic	diagnostic	ADJ
fcis-19695	25	25	accuracy	accuracy	NOUN
fcis-19695	25	26	can	can	AUX
fcis-19695	25	27	be	be	AUX
fcis-19695	25	28	improved	improve	VERB
fcis-19695	25	29	[	[	X
fcis-19695	25	30	10	10	NUM
fcis-19695	25	31	]	]	PUNCT
fcis-19695	25	32	.	.	PUNCT
fcis-19695	26	1	for	for	ADP
fcis-19695	26	2	example	example	NOUN
fcis-19695	26	3	,	,	PUNCT
fcis-19695	26	4	researchers	researcher	NOUN
fcis-19695	26	5	used	use	VERB
fcis-19695	26	6	cnn	cnn	PROPN
fcis-19695	26	7	model	model	NOUN
fcis-19695	26	8	to	to	PART
fcis-19695	26	9	reconstruct	reconstruct	VERB
fcis-19695	26	10	low	low	ADJ
fcis-19695	26	11	-	-	PUNCT
fcis-19695	26	12	dose	dose	VERB
fcis-19695	26	13	ct	ct	NUM
fcis-19695	26	14	images	image	NOUN
fcis-19695	26	15	,	,	PUNCT
fcis-19695	26	16	so	so	SCONJ
fcis-19695	26	17	that	that	SCONJ
fcis-19695	26	18	low	low	ADV
fcis-19695	26	19	-	-	PUNCT
fcis-19695	26	20	dose	dose	VERB
fcis-19695	26	21	ct	ct	NUM
fcis-19695	26	22	images	image	NOUN
fcis-19695	26	23	can	can	AUX
fcis-19695	26	24	reach	reach	VERB
fcis-19695	26	25	the	the	DET
fcis-19695	26	26	quality	quality	NOUN
fcis-19695	26	27	level	level	NOUN
fcis-19695	26	28	of	of	ADP
fcis-19695	26	29	standard	standard	NOUN
fcis-19695	26	30	-	-	PUNCT
fcis-19695	26	31	dose	dose	VERB
fcis-19695	26	32	ct	ct	NUM
fcis-19695	26	33	images	image	NOUN
fcis-19695	26	34	,	,	PUNCT
fcis-19695	26	35	thus	thus	ADV
fcis-19695	26	36	reducing	reduce	VERB
fcis-19695	26	37	the	the	DET
fcis-19695	26	38	risk	risk	NOUN
fcis-19695	26	39	of	of	ADP
fcis-19695	26	40	73	73	NUM
fcis-19695	26	41	radiation	radiation	NOUN
fcis-19695	26	42	exposure	exposure	NOUN
fcis-19695	26	43	of	of	ADP
fcis-19695	26	44	patients	patient	NOUN
fcis-19695	26	45	.	.	PUNCT
fcis-19695	27	1	in	in	ADP
fcis-19695	27	2	addition	addition	NOUN
fcis-19695	27	3	,	,	PUNCT
fcis-19695	27	4	cnn	cnn	PROPN
fcis-19695	27	5	can	can	AUX
fcis-19695	27	6	also	also	ADV
fcis-19695	27	7	be	be	AUX
fcis-19695	27	8	used	use	VERB
fcis-19695	27	9	for	for	ADP
fcis-19695	27	10	segmentation	segmentation	NOUN
fcis-19695	27	11	and	and	CCONJ
fcis-19695	27	12	registration	registration	NOUN
fcis-19695	27	13	of	of	ADP
fcis-19695	27	14	medical	medical	ADJ
fcis-19695	27	15	images	image	NOUN
fcis-19695	27	16	,	,	PUNCT
fcis-19695	27	17	helping	help	VERB
fcis-19695	27	18	doctors	doctor	NOUN
fcis-19695	27	19	to	to	PART
fcis-19695	27	20	locate	locate	VERB
fcis-19695	27	21	and	and	CCONJ
fcis-19695	27	22	identify	identify	VERB
fcis-19695	27	23	diseased	diseased	ADJ
fcis-19695	27	24	areas	area	NOUN
fcis-19695	27	25	more	more	ADV
fcis-19695	27	26	accurately	accurately	ADV
fcis-19695	27	27	.	.	PUNCT
fcis-19695	28	1	by	by	ADP
fcis-19695	28	2	training	train	VERB
fcis-19695	28	3	cnn	cnn	PROPN
fcis-19695	28	4	model	model	NOUN
fcis-19695	28	5	,	,	PUNCT
fcis-19695	28	6	different	different	ADJ
fcis-19695	28	7	tissues	tissue	NOUN
fcis-19695	28	8	and	and	CCONJ
fcis-19695	28	9	structures	structure	NOUN
fcis-19695	28	10	in	in	ADP
fcis-19695	28	11	medical	medical	ADJ
fcis-19695	28	12	images	image	NOUN
fcis-19695	28	13	can	can	AUX
fcis-19695	28	14	be	be	AUX
fcis-19695	28	15	automatically	automatically	ADV
fcis-19695	28	16	segmented	segment	VERB
fcis-19695	28	17	,	,	PUNCT
fcis-19695	28	18	which	which	PRON
fcis-19695	28	19	improves	improve	VERB
fcis-19695	28	20	the	the	DET
fcis-19695	28	21	efficiency	efficiency	NOUN
fcis-19695	28	22	and	and	CCONJ
fcis-19695	28	23	accuracy	accuracy	NOUN
fcis-19695	28	24	of	of	ADP
fcis-19695	28	25	medical	medical	ADJ
fcis-19695	28	26	image	image	NOUN
fcis-19695	28	27	analysis	analysis	NOUN
fcis-19695	28	28	.	.	PUNCT
fcis-19695	29	1	figure	figure	NOUN
fcis-19695	29	2	1	1	NUM
fcis-19695	29	3	.	.	PUNCT
fcis-19695	29	4	medical	medical	ADJ
fcis-19695	29	5	image	image	NOUN
fcis-19695	29	6	processing	processing	NOUN
fcis-19695	29	7	based	base	VERB
fcis-19695	29	8	on	on	ADP
fcis-19695	29	9	cnn	cnn	PROPN
fcis-19695	29	10	gan	gan	PROPN
fcis-19695	29	11	is	be	AUX
fcis-19695	29	12	an	an	DET
fcis-19695	29	13	antagonistic	antagonistic	ADJ
fcis-19695	29	14	training	training	NOUN
fcis-19695	29	15	framework	framework	NOUN
fcis-19695	29	16	composed	compose	VERB
fcis-19695	29	17	of	of	ADP
fcis-19695	29	18	generator	generator	NOUN
fcis-19695	29	19	and	and	CCONJ
fcis-19695	29	20	discriminator	discriminator	NOUN
fcis-19695	29	21	,	,	PUNCT
fcis-19695	29	22	which	which	PRON
fcis-19695	29	23	is	be	AUX
fcis-19695	29	24	often	often	ADV
fcis-19695	29	25	used	use	VERB
fcis-19695	29	26	to	to	PART
fcis-19695	29	27	generate	generate	VERB
fcis-19695	29	28	realistic	realistic	ADJ
fcis-19695	29	29	new	new	ADJ
fcis-19695	29	30	image	image	NOUN
fcis-19695	29	31	data	datum	NOUN
fcis-19695	29	32	.	.	PUNCT
fcis-19695	30	1	in	in	ADP
fcis-19695	30	2	medical	medical	ADJ
fcis-19695	30	3	image	image	NOUN
fcis-19695	30	4	enhancement	enhancement	NOUN
fcis-19695	30	5	,	,	PUNCT
fcis-19695	30	6	gan	gan	PROPN
fcis-19695	30	7	can	can	AUX
fcis-19695	30	8	be	be	AUX
fcis-19695	30	9	used	use	VERB
fcis-19695	30	10	to	to	PART
fcis-19695	30	11	generate	generate	VERB
fcis-19695	30	12	high	high	ADJ
fcis-19695	30	13	-	-	PUNCT
fcis-19695	30	14	quality	quality	NOUN
fcis-19695	30	15	and	and	CCONJ
fcis-19695	30	16	high	high	ADJ
fcis-19695	30	17	-	-	PUNCT
fcis-19695	30	18	resolution	resolution	NOUN
fcis-19695	30	19	medical	medical	ADJ
fcis-19695	30	20	images	image	NOUN
fcis-19695	30	21	,	,	PUNCT
fcis-19695	30	22	or	or	CCONJ
fcis-19695	30	23	to	to	PART
fcis-19695	30	24	enhance	enhance	VERB
fcis-19695	30	25	existing	exist	VERB
fcis-19695	30	26	medical	medical	ADJ
fcis-19695	30	27	images	image	NOUN
fcis-19695	30	28	.	.	PUNCT
fcis-19695	31	1	for	for	ADP
fcis-19695	31	2	medical	medical	ADJ
fcis-19695	31	3	image	image	NOUN
fcis-19695	31	4	generation	generation	NOUN
fcis-19695	31	5	,	,	PUNCT
fcis-19695	31	6	researchers	researcher	NOUN
fcis-19695	31	7	have	have	AUX
fcis-19695	31	8	successfully	successfully	ADV
fcis-19695	31	9	generated	generate	VERB
fcis-19695	31	10	realistic	realistic	ADJ
fcis-19695	31	11	medical	medical	ADJ
fcis-19695	31	12	images	image	NOUN
fcis-19695	31	13	,	,	PUNCT
fcis-19695	31	14	such	such	ADJ
fcis-19695	31	15	as	as	ADP
fcis-19695	31	16	skin	skin	NOUN
fcis-19695	31	17	lesion	lesion	NOUN
fcis-19695	31	18	images	image	NOUN
fcis-19695	31	19	and	and	CCONJ
fcis-19695	31	20	fundus	fundus	NOUN
fcis-19695	31	21	images	image	NOUN
fcis-19695	31	22	,	,	PUNCT
fcis-19695	31	23	using	use	VERB
fcis-19695	31	24	the	the	DET
fcis-19695	31	25	gan	gan	ADJ
fcis-19695	31	26	model	model	NOUN
fcis-19695	31	27	[	[	X
fcis-19695	31	28	1112	1112	NUM
fcis-19695	31	29	]	]	PUNCT
fcis-19695	31	30	.	.	PUNCT
fcis-19695	32	1	these	these	PRON
fcis-19695	32	2	generated	generate	VERB
fcis-19695	32	3	images	image	NOUN
fcis-19695	32	4	not	not	PART
fcis-19695	32	5	only	only	ADV
fcis-19695	32	6	have	have	VERB
fcis-19695	32	7	realistic	realistic	ADJ
fcis-19695	32	8	appearance	appearance	NOUN
fcis-19695	32	9	,	,	PUNCT
fcis-19695	32	10	but	but	CCONJ
fcis-19695	32	11	also	also	ADV
fcis-19695	32	12	have	have	VERB
fcis-19695	32	13	similar	similar	ADJ
fcis-19695	32	14	characteristics	characteristic	NOUN
fcis-19695	32	15	to	to	ADP
fcis-19695	32	16	real	real	ADJ
fcis-19695	32	17	images	image	NOUN
fcis-19695	32	18	,	,	PUNCT
fcis-19695	32	19	which	which	PRON
fcis-19695	32	20	can	can	AUX
fcis-19695	32	21	be	be	AUX
fcis-19695	32	22	used	use	VERB
fcis-19695	32	23	to	to	PART
fcis-19695	32	24	broaden	broaden	VERB
fcis-19695	32	25	and	and	CCONJ
fcis-19695	32	26	expand	expand	VERB
fcis-19695	32	27	medical	medical	ADJ
fcis-19695	32	28	image	image	NOUN
fcis-19695	32	29	data	datum	NOUN
fcis-19695	32	30	.	.	PUNCT
fcis-19695	33	1	in	in	ADP
fcis-19695	33	2	medical	medical	ADJ
fcis-19695	33	3	image	image	NOUN
fcis-19695	33	4	enhancement	enhancement	NOUN
fcis-19695	33	5	,	,	PUNCT
fcis-19695	33	6	gan	gan	PROPN
fcis-19695	33	7	can	can	AUX
fcis-19695	33	8	be	be	AUX
fcis-19695	33	9	used	use	VERB
fcis-19695	33	10	to	to	PART
fcis-19695	33	11	enhance	enhance	VERB
fcis-19695	33	12	medical	medical	ADJ
fcis-19695	33	13	images	image	NOUN
fcis-19695	33	14	with	with	ADP
fcis-19695	33	15	low	low	ADJ
fcis-19695	33	16	quality	quality	NOUN
fcis-19695	33	17	and	and	CCONJ
fcis-19695	33	18	large	large	ADJ
fcis-19695	33	19	noise	noise	NOUN
fcis-19695	33	20	interference	interference	NOUN
fcis-19695	33	21	,	,	PUNCT
fcis-19695	33	22	and	and	CCONJ
fcis-19695	33	23	improve	improve	VERB
fcis-19695	33	24	the	the	DET
fcis-19695	33	25	clarity	clarity	NOUN
fcis-19695	33	26	and	and	CCONJ
fcis-19695	33	27	contrast	contrast	NOUN
fcis-19695	33	28	of	of	ADP
fcis-19695	33	29	the	the	DET
fcis-19695	33	30	images	image	NOUN
fcis-19695	33	31	.	.	PUNCT
fcis-19695	34	1	by	by	ADP
fcis-19695	34	2	training	train	VERB
fcis-19695	34	3	gan	gan	PROPN
fcis-19695	34	4	model	model	NOUN
fcis-19695	34	5	,	,	PUNCT
fcis-19695	34	6	we	we	PRON
fcis-19695	34	7	can	can	AUX
fcis-19695	34	8	remove	remove	VERB
fcis-19695	34	9	noise	noise	NOUN
fcis-19695	34	10	and	and	CCONJ
fcis-19695	34	11	restore	restore	VERB
fcis-19695	34	12	details	detail	NOUN
fcis-19695	34	13	in	in	ADP
fcis-19695	34	14	medical	medical	ADJ
fcis-19695	34	15	images	image	NOUN
fcis-19695	34	16	,	,	PUNCT
fcis-19695	34	17	thus	thus	ADV
fcis-19695	34	18	improving	improve	VERB
fcis-19695	34	19	the	the	DET
fcis-19695	34	20	quality	quality	NOUN
fcis-19695	34	21	and	and	CCONJ
fcis-19695	34	22	usability	usability	NOUN
fcis-19695	34	23	of	of	ADP
fcis-19695	34	24	medical	medical	ADJ
fcis-19695	34	25	images	image	NOUN
fcis-19695	34	26	.	.	PUNCT
fcis-19695	35	1	autoencoder	autoencoder	NOUN
fcis-19695	35	2	is	be	AUX
fcis-19695	35	3	a	a	DET
fcis-19695	35	4	kind	kind	NOUN
fcis-19695	35	5	of	of	ADP
fcis-19695	35	6	neural	neural	ADJ
fcis-19695	35	7	network	network	NOUN
fcis-19695	35	8	structure	structure	NOUN
fcis-19695	35	9	widely	widely	ADV
fcis-19695	35	10	used	use	VERB
fcis-19695	35	11	in	in	ADP
fcis-19695	35	12	machine	machine	NOUN
fcis-19695	35	13	learning	learning	NOUN
fcis-19695	35	14	and	and	CCONJ
fcis-19695	35	15	deep	deep	ADJ
fcis-19695	35	16	learning	learning	NOUN
fcis-19695	35	17	,	,	PUNCT
fcis-19695	35	18	especially	especially	ADV
fcis-19695	35	19	for	for	ADP
fcis-19695	35	20	unsupervised	unsupervised	ADJ
fcis-19695	35	21	learning	learning	NOUN
fcis-19695	35	22	and	and	CCONJ
fcis-19695	35	23	semi	semi	ADJ
fcis-19695	35	24	-	-	ADJ
fcis-19695	35	25	supervised	supervised	ADJ
fcis-19695	35	26	learning	learning	NOUN
fcis-19695	35	27	scenarios	scenario	NOUN
fcis-19695	35	28	.	.	PUNCT
fcis-19695	36	1	its	its	PRON
fcis-19695	36	2	core	core	NOUN
fcis-19695	36	3	function	function	NOUN
fcis-19695	36	4	is	be	AUX
fcis-19695	36	5	to	to	PART
fcis-19695	36	6	encode	encode	VERB
fcis-19695	36	7	and	and	CCONJ
fcis-19695	36	8	decode	decode	VERB
fcis-19695	36	9	the	the	DET
fcis-19695	36	10	input	input	NOUN
fcis-19695	36	11	data	datum	NOUN
fcis-19695	36	12	to	to	PART
fcis-19695	36	13	learn	learn	VERB
fcis-19695	36	14	the	the	DET
fcis-19695	36	15	compressed	compress	VERB
fcis-19695	36	16	representation	representation	NOUN
fcis-19695	36	17	or	or	CCONJ
fcis-19695	36	18	potential	potential	ADJ
fcis-19695	36	19	features	feature	NOUN
fcis-19695	36	20	of	of	ADP
fcis-19695	36	21	the	the	DET
fcis-19695	36	22	data	datum	NOUN
fcis-19695	36	23	,	,	PUNCT
fcis-19695	36	24	so	so	SCONJ
fcis-19695	36	25	as	as	SCONJ
fcis-19695	36	26	to	to	PART
fcis-19695	36	27	realize	realize	VERB
fcis-19695	36	28	various	various	ADJ
fcis-19695	36	29	tasks	task	NOUN
fcis-19695	36	30	such	such	ADJ
fcis-19695	36	31	as	as	ADP
fcis-19695	36	32	data	data	NOUN
fcis-19695	36	33	dimensionality	dimensionality	NOUN
fcis-19695	36	34	reduction	reduction	NOUN
fcis-19695	36	35	,	,	PUNCT
fcis-19695	36	36	feature	feature	NOUN
fcis-19695	36	37	extraction	extraction	NOUN
fcis-19695	36	38	,	,	PUNCT
fcis-19695	36	39	denoising	denoising	NOUN
fcis-19695	36	40	and	and	CCONJ
fcis-19695	36	41	anomaly	anomaly	NOUN
fcis-19695	36	42	detection	detection	NOUN
fcis-19695	36	43	.	.	PUNCT
fcis-19695	37	1	the	the	DET
fcis-19695	37	2	basic	basic	ADJ
fcis-19695	37	3	structure	structure	NOUN
fcis-19695	37	4	of	of	ADP
fcis-19695	37	5	autoencoder	autoencoder	NOUN
fcis-19695	37	6	includes	include	VERB
fcis-19695	37	7	two	two	NUM
fcis-19695	37	8	parts	part	NOUN
fcis-19695	37	9	:	:	PUNCT
fcis-19695	37	10	encoder	encoder	NOUN
fcis-19695	37	11	and	and	CCONJ
fcis-19695	37	12	decoder	decoder	NOUN
fcis-19695	37	13	.	.	PUNCT
fcis-19695	38	1	the	the	DET
fcis-19695	38	2	encoder	encoder	NOUN
fcis-19695	38	3	is	be	AUX
fcis-19695	38	4	responsible	responsible	ADJ
fcis-19695	38	5	for	for	ADP
fcis-19695	38	6	mapping	map	VERB
fcis-19695	38	7	the	the	DET
fcis-19695	38	8	input	input	NOUN
fcis-19695	38	9	data	datum	NOUN
fcis-19695	38	10	to	to	ADP
fcis-19695	38	11	a	a	DET
fcis-19695	38	12	low	low	ADV
fcis-19695	38	13	-	-	PUNCT
fcis-19695	38	14	dimensional	dimensional	ADJ
fcis-19695	38	15	hidden	hidden	ADJ
fcis-19695	38	16	layer	layer	NOUN
fcis-19695	38	17	representation	representation	NOUN
fcis-19695	38	18	,	,	PUNCT
fcis-19695	38	19	which	which	PRON
fcis-19695	38	20	is	be	AUX
fcis-19695	38	21	usually	usually	ADV
fcis-19695	38	22	realized	realize	VERB
fcis-19695	38	23	by	by	ADP
fcis-19695	38	24	multi	multi	ADJ
fcis-19695	38	25	-	-	ADJ
fcis-19695	38	26	layer	layer	ADJ
fcis-19695	38	27	neural	neural	ADJ
fcis-19695	38	28	network	network	NOUN
fcis-19695	38	29	,	,	PUNCT
fcis-19695	38	30	accompanied	accompany	VERB
fcis-19695	38	31	by	by	ADP
fcis-19695	38	32	data	datum	NOUN
fcis-19695	38	33	compression	compression	NOUN
fcis-19695	38	34	and	and	CCONJ
fcis-19695	38	35	feature	feature	NOUN
fcis-19695	38	36	extraction	extraction	NOUN
fcis-19695	38	37	.	.	PUNCT
fcis-19695	39	1	the	the	DET
fcis-19695	39	2	decoder	decoder	NOUN
fcis-19695	39	3	is	be	AUX
fcis-19695	39	4	responsible	responsible	ADJ
fcis-19695	39	5	for	for	ADP
fcis-19695	39	6	mapping	map	VERB
fcis-19695	39	7	the	the	DET
fcis-19695	39	8	representation	representation	NOUN
fcis-19695	39	9	of	of	ADP
fcis-19695	39	10	the	the	DET
fcis-19695	39	11	hidden	hide	VERB
fcis-19695	39	12	layer	layer	NOUN
fcis-19695	39	13	back	back	ADV
fcis-19695	39	14	to	to	ADP
fcis-19695	39	15	the	the	DET
fcis-19695	39	16	original	original	ADJ
fcis-19695	39	17	data	data	NOUN
fcis-19695	39	18	space	space	NOUN
fcis-19695	39	19	to	to	PART
fcis-19695	39	20	reconstruct	reconstruct	VERB
fcis-19695	39	21	the	the	DET
fcis-19695	39	22	input	input	NOUN
fcis-19695	39	23	data	datum	NOUN
fcis-19695	39	24	.	.	PUNCT
fcis-19695	40	1	the	the	DET
fcis-19695	40	2	structure	structure	NOUN
fcis-19695	40	3	of	of	ADP
fcis-19695	40	4	encoder	encoder	NOUN
fcis-19695	40	5	and	and	CCONJ
fcis-19695	40	6	decoder	decoder	NOUN
fcis-19695	40	7	is	be	AUX
fcis-19695	40	8	usually	usually	ADV
fcis-19695	40	9	symmetrical	symmetrical	ADJ
fcis-19695	40	10	to	to	PART
fcis-19695	40	11	ensure	ensure	VERB
fcis-19695	40	12	the	the	DET
fcis-19695	40	13	effective	effective	ADJ
fcis-19695	40	14	compression	compression	NOUN
fcis-19695	40	15	and	and	CCONJ
fcis-19695	40	16	reconstruction	reconstruction	NOUN
fcis-19695	40	17	of	of	ADP
fcis-19695	40	18	data	datum	NOUN
fcis-19695	40	19	.	.	PUNCT
fcis-19695	41	1	according	accord	VERB
fcis-19695	41	2	to	to	ADP
fcis-19695	41	3	different	different	ADJ
fcis-19695	41	4	learning	learning	NOUN
fcis-19695	41	5	paradigms	paradigm	NOUN
fcis-19695	41	6	and	and	CCONJ
fcis-19695	41	7	construction	construction	NOUN
fcis-19695	41	8	types	type	NOUN
fcis-19695	41	9	,	,	PUNCT
fcis-19695	41	10	autoencoder	autoencoder	NOUN
fcis-19695	41	11	can	can	AUX
fcis-19695	41	12	be	be	AUX
fcis-19695	41	13	divided	divide	VERB
fcis-19695	41	14	into	into	ADP
fcis-19695	41	15	many	many	ADJ
fcis-19695	41	16	types	type	NOUN
fcis-19695	41	17	.	.	PUNCT
fcis-19695	42	1	for	for	ADP
fcis-19695	42	2	example	example	NOUN
fcis-19695	42	3	,	,	PUNCT
fcis-19695	42	4	shrinking	shrink	VERB
fcis-19695	42	5	autoencoder	autoencoder	NOUN
fcis-19695	42	6	and	and	CCONJ
fcis-19695	42	7	regularized	regularize	VERB
fcis-19695	42	8	autoencoder	autoencoder	NOUN
fcis-19695	42	9	belong	belong	VERB
fcis-19695	42	10	to	to	ADP
fcis-19695	42	11	discriminant	discriminant	ADJ
fcis-19695	42	12	model	model	NOUN
fcis-19695	42	13	,	,	PUNCT
fcis-19695	42	14	and	and	CCONJ
fcis-19695	42	15	they	they	PRON
fcis-19695	42	16	restrict	restrict	VERB
fcis-19695	42	17	the	the	DET
fcis-19695	42	18	complexity	complexity	NOUN
fcis-19695	42	19	of	of	ADP
fcis-19695	42	20	hidden	hide	VERB
fcis-19695	42	21	layer	layer	NOUN
fcis-19695	42	22	representation	representation	NOUN
fcis-19695	42	23	by	by	ADP
fcis-19695	42	24	introducing	introduce	VERB
fcis-19695	42	25	regularization	regularization	NOUN
fcis-19695	42	26	term	term	NOUN
fcis-19695	42	27	,	,	PUNCT
fcis-19695	42	28	thus	thus	ADV
fcis-19695	42	29	improving	improve	VERB
fcis-19695	42	30	the	the	DET
fcis-19695	42	31	generalization	generalization	NOUN
fcis-19695	42	32	ability	ability	NOUN
fcis-19695	42	33	of	of	ADP
fcis-19695	42	34	autoencoder	autoencoder	NOUN
fcis-19695	42	35	.	.	PUNCT
fcis-19695	43	1	variational	variational	ADJ
fcis-19695	43	2	autoencoder	autoencoder	NOUN
fcis-19695	43	3	is	be	AUX
fcis-19695	43	4	a	a	DET
fcis-19695	43	5	generation	generation	NOUN
fcis-19695	43	6	model	model	NOUN
fcis-19695	43	7	,	,	PUNCT
fcis-19695	43	8	which	which	PRON
fcis-19695	43	9	captures	capture	VERB
fcis-19695	43	10	the	the	DET
fcis-19695	43	11	potential	potential	ADJ
fcis-19695	43	12	distribution	distribution	NOUN
fcis-19695	43	13	of	of	ADP
fcis-19695	43	14	data	datum	NOUN
fcis-19695	43	15	by	by	ADP
fcis-19695	43	16	introducing	introduce	VERB
fcis-19695	43	17	probability	probability	NOUN
fcis-19695	43	18	graph	graph	NOUN
fcis-19695	43	19	model	model	NOUN
fcis-19695	43	20	,	,	PUNCT
fcis-19695	43	21	thus	thus	ADV
fcis-19695	43	22	generating	generate	VERB
fcis-19695	43	23	new	new	ADJ
fcis-19695	43	24	data	datum	NOUN
fcis-19695	43	25	samples	sample	NOUN
fcis-19695	43	26	.	.	PUNCT
fcis-19695	44	1	autoencoder	autoencoder	NOUN
fcis-19695	44	2	is	be	AUX
fcis-19695	44	3	an	an	DET
fcis-19695	44	4	unsupervised	unsupervised	ADJ
fcis-19695	44	5	learning	learning	NOUN
fcis-19695	44	6	model	model	NOUN
fcis-19695	44	7	,	,	PUNCT
fcis-19695	44	8	which	which	PRON
fcis-19695	44	9	is	be	AUX
fcis-19695	44	10	often	often	ADV
fcis-19695	44	11	used	use	VERB
fcis-19695	44	12	to	to	PART
fcis-19695	44	13	express	express	VERB
fcis-19695	44	14	advanced	advanced	ADJ
fcis-19695	44	15	features	feature	NOUN
fcis-19695	44	16	of	of	ADP
fcis-19695	44	17	learning	learn	VERB
fcis-19695	44	18	data	datum	NOUN
fcis-19695	44	19	.	.	PUNCT
fcis-19695	45	1	in	in	ADP
fcis-19695	45	2	the	the	DET
fcis-19695	45	3	reconstruction	reconstruction	NOUN
fcis-19695	45	4	and	and	CCONJ
fcis-19695	45	5	enhancement	enhancement	NOUN
fcis-19695	45	6	of	of	ADP
fcis-19695	45	7	medical	medical	ADJ
fcis-19695	45	8	images	image	NOUN
fcis-19695	45	9	,	,	PUNCT
fcis-19695	45	10	autoencoder	autoencoder	NOUN
fcis-19695	45	11	can	can	AUX
fcis-19695	45	12	be	be	AUX
fcis-19695	45	13	used	use	VERB
fcis-19695	45	14	to	to	PART
fcis-19695	45	15	realize	realize	VERB
fcis-19695	45	16	the	the	DET
fcis-19695	45	17	reconstruction	reconstruction	NOUN
fcis-19695	45	18	and	and	CCONJ
fcis-19695	45	19	denoising	denoising	NOUN
fcis-19695	45	20	of	of	ADP
fcis-19695	45	21	medical	medical	ADJ
fcis-19695	45	22	images	image	NOUN
fcis-19695	45	23	.	.	PUNCT
fcis-19695	46	1	autoencoder	autoencoder	NOUN
fcis-19695	46	2	reconstructs	reconstruct	VERB
fcis-19695	46	3	the	the	DET
fcis-19695	46	4	original	original	ADJ
fcis-19695	46	5	image	image	NOUN
fcis-19695	46	6	by	by	ADP
fcis-19695	46	7	encoding	encode	VERB
fcis-19695	46	8	the	the	DET
fcis-19695	46	9	input	input	NOUN
fcis-19695	46	10	image	image	NOUN
fcis-19695	46	11	into	into	ADP
fcis-19695	46	12	a	a	DET
fcis-19695	46	13	lowdimensional	lowdimensional	ADJ
fcis-19695	46	14	potential	potential	ADJ
fcis-19695	46	15	spatial	spatial	ADJ
fcis-19695	46	16	representation	representation	NOUN
fcis-19695	46	17	,	,	PUNCT
fcis-19695	46	18	and	and	CCONJ
fcis-19695	46	19	then	then	ADV
fcis-19695	46	20	decoding	decode	VERB
fcis-19695	46	21	the	the	DET
fcis-19695	46	22	potential	potential	ADJ
fcis-19695	46	23	spatial	spatial	ADJ
fcis-19695	46	24	representation	representation	NOUN
fcis-19695	46	25	into	into	ADP
fcis-19695	46	26	a	a	DET
fcis-19695	46	27	reconstructed	reconstructed	ADJ
fcis-19695	46	28	image	image	NOUN
fcis-19695	46	29	[	[	X
fcis-19695	46	30	13	13	NUM
fcis-19695	46	31	]	]	PUNCT
fcis-19695	46	32	.	.	PUNCT
fcis-19695	47	1	in	in	ADP
fcis-19695	47	2	medical	medical	ADJ
fcis-19695	47	3	image	image	NOUN
fcis-19695	47	4	reconstruction	reconstruction	NOUN
fcis-19695	47	5	,	,	PUNCT
fcis-19695	47	6	autoencoder	autoencoder	NOUN
fcis-19695	47	7	can	can	AUX
fcis-19695	47	8	be	be	AUX
fcis-19695	47	9	used	use	VERB
fcis-19695	47	10	to	to	PART
fcis-19695	47	11	process	process	VERB
fcis-19695	47	12	medical	medical	ADJ
fcis-19695	47	13	images	image	NOUN
fcis-19695	47	14	with	with	ADP
fcis-19695	47	15	low	low	ADJ
fcis-19695	47	16	resolution	resolution	NOUN
fcis-19695	47	17	and	and	CCONJ
fcis-19695	47	18	large	large	ADJ
fcis-19695	47	19	noise	noise	NOUN
fcis-19695	47	20	interference	interference	NOUN
fcis-19695	47	21	,	,	PUNCT
fcis-19695	47	22	thus	thus	ADV
fcis-19695	47	23	improving	improve	VERB
fcis-19695	47	24	the	the	DET
fcis-19695	47	25	quality	quality	NOUN
fcis-19695	47	26	and	and	CCONJ
fcis-19695	47	27	clarity	clarity	NOUN
fcis-19695	47	28	of	of	ADP
fcis-19695	47	29	the	the	DET
fcis-19695	47	30	images	image	NOUN
fcis-19695	47	31	.	.	PUNCT
fcis-19695	48	1	in	in	ADP
fcis-19695	48	2	addition	addition	NOUN
fcis-19695	48	3	,	,	PUNCT
fcis-19695	48	4	autoencoder	autoencoder	NOUN
fcis-19695	48	5	can	can	AUX
fcis-19695	48	6	also	also	ADV
fcis-19695	48	7	be	be	AUX
fcis-19695	48	8	used	use	VERB
fcis-19695	48	9	to	to	PART
fcis-19695	48	10	denoise	denoise	VERB
fcis-19695	48	11	and	and	CCONJ
fcis-19695	48	12	reduce	reduce	VERB
fcis-19695	48	13	the	the	DET
fcis-19695	48	14	dimension	dimension	NOUN
fcis-19695	48	15	of	of	ADP
fcis-19695	48	16	medical	medical	ADJ
fcis-19695	48	17	images	image	NOUN
fcis-19695	48	18	,	,	PUNCT
fcis-19695	48	19	extract	extract	VERB
fcis-19695	48	20	effective	effective	ADJ
fcis-19695	48	21	information	information	NOUN
fcis-19695	48	22	from	from	ADP
fcis-19695	48	23	images	image	NOUN
fcis-19695	48	24	and	and	CCONJ
fcis-19695	48	25	suppress	suppress	VERB
fcis-19695	48	26	noise	noise	NOUN
fcis-19695	48	27	interference	interference	NOUN
fcis-19695	48	28	,	,	PUNCT
fcis-19695	48	29	thus	thus	ADV
fcis-19695	48	30	improving	improve	VERB
fcis-19695	48	31	the	the	DET
fcis-19695	48	32	quality	quality	NOUN
fcis-19695	48	33	and	and	CCONJ
fcis-19695	48	34	usability	usability	NOUN
fcis-19695	48	35	of	of	ADP
fcis-19695	48	36	medical	medical	ADJ
fcis-19695	48	37	images	image	NOUN
fcis-19695	48	38	[	[	X
fcis-19695	48	39	14	14	NUM
fcis-19695	48	40	]	]	PUNCT
fcis-19695	48	41	.	.	PUNCT
fcis-19695	49	1	by	by	ADP
fcis-19695	49	2	training	train	VERB
fcis-19695	49	3	the	the	DET
fcis-19695	49	4	autoencoder	autoencoder	NOUN
fcis-19695	49	5	model[15	model[15	NOUN
fcis-19695	49	6	]	]	PUNCT
fcis-19695	49	7	,	,	PUNCT
fcis-19695	49	8	the	the	DET
fcis-19695	49	9	noise	noise	NOUN
fcis-19695	49	10	in	in	ADP
fcis-19695	49	11	medical	medical	ADJ
fcis-19695	49	12	images	image	NOUN
fcis-19695	49	13	can	can	AUX
fcis-19695	49	14	be	be	AUX
fcis-19695	49	15	automatically	automatically	ADV
fcis-19695	49	16	removed	remove	VERB
fcis-19695	49	17	and	and	CCONJ
fcis-19695	49	18	the	the	DET
fcis-19695	49	19	images	image	NOUN
fcis-19695	49	20	can	can	AUX
fcis-19695	49	21	be	be	AUX
fcis-19695	49	22	reconstructed	reconstruct	VERB
fcis-19695	49	23	,	,	PUNCT
fcis-19695	49	24	which	which	PRON
fcis-19695	49	25	provides	provide	VERB
fcis-19695	49	26	more	more	ADV
fcis-19695	49	27	reliable	reliable	ADJ
fcis-19695	49	28	data	data	NOUN
fcis-19695	49	29	support	support	NOUN
fcis-19695	49	30	for	for	ADP
fcis-19695	49	31	medical	medical	ADJ
fcis-19695	49	32	image	image	NOUN
fcis-19695	49	33	analysis	analysis	NOUN
fcis-19695	49	34	and	and	CCONJ
fcis-19695	49	35	diagnosis[16	diagnosis[16	PROPN
fcis-19695	49	36	-	-	PUNCT
fcis-19695	49	37	17	17	NUM
fcis-19695	49	38	]	]	PUNCT
fcis-19695	49	39	.	.	PUNCT
fcis-19695	50	1	3	3	X
fcis-19695	50	2	.	.	X
fcis-19695	50	3	application	application	NOUN
fcis-19695	50	4	cases	case	NOUN
fcis-19695	50	5	of	of	ADP
fcis-19695	50	6	deep	deep	ADJ
fcis-19695	50	7	learning	learning	NOUN
fcis-19695	50	8	in	in	ADP
fcis-19695	50	9	specific	specific	ADJ
fcis-19695	50	10	medical	medical	ADJ
fcis-19695	50	11	fields	field	NOUN
fcis-19695	50	12	3.1	3.1	NUM
fcis-19695	50	13	.	.	PUNCT
fcis-19695	51	1	design	design	NOUN
fcis-19695	51	2	of	of	ADP
fcis-19695	51	3	experiment	experiment	NOUN
fcis-19695	51	4	the	the	DET
fcis-19695	51	5	purpose	purpose	NOUN
fcis-19695	51	6	of	of	ADP
fcis-19695	51	7	the	the	DET
fcis-19695	51	8	experiment	experiment	NOUN
fcis-19695	51	9	is	be	AUX
fcis-19695	51	10	to	to	PART
fcis-19695	51	11	evaluate	evaluate	VERB
fcis-19695	51	12	the	the	DET
fcis-19695	51	13	effect	effect	NOUN
fcis-19695	51	14	of	of	ADP
fcis-19695	51	15	the	the	DET
fcis-19695	51	16	method	method	NOUN
fcis-19695	51	17	based	base	VERB
fcis-19695	51	18	on	on	ADP
fcis-19695	51	19	deep	deep	ADJ
fcis-19695	51	20	learning	learning	NOUN
fcis-19695	51	21	in	in	ADP
fcis-19695	51	22	radiology	radiology	NOUN
fcis-19695	51	23	image	image	NOUN
fcis-19695	51	24	reconstruction	reconstruction	NOUN
fcis-19695	51	25	and	and	CCONJ
fcis-19695	51	26	enhancement	enhancement	NOUN
fcis-19695	51	27	,	,	PUNCT
fcis-19695	51	28	and	and	CCONJ
fcis-19695	51	29	compare	compare	VERB
fcis-19695	51	30	it	it	PRON
fcis-19695	51	31	with	with	ADP
fcis-19695	51	32	the	the	DET
fcis-19695	51	33	74	74	NUM
fcis-19695	51	34	traditional	traditional	ADJ
fcis-19695	51	35	method	method	NOUN
fcis-19695	51	36	.	.	PUNCT
fcis-19695	52	1	use	use	VERB
fcis-19695	52	2	the	the	DET
fcis-19695	52	3	public	public	ADJ
fcis-19695	52	4	radiology	radiology	NOUN
fcis-19695	52	5	image	image	NOUN
fcis-19695	52	6	data	datum	NOUN
fcis-19695	52	7	set	set	VERB
fcis-19695	52	8	,	,	PUNCT
fcis-19695	52	9	lidc	lidc	ADJ
fcis-19695	52	10	-	-	PUNCT
fcis-19695	52	11	idri	idri	NOUN
fcis-19695	52	12	(	(	PUNCT
fcis-19695	52	13	lung	lung	NOUN
fcis-19695	52	14	ct	ct	PROPN
fcis-19695	52	15	image	image	NOUN
fcis-19695	52	16	data	datum	NOUN
fcis-19695	52	17	set	set	NOUN
fcis-19695	52	18	)	)	PUNCT
fcis-19695	52	19	and	and	CCONJ
fcis-19695	52	20	ixi	ixi	PROPN
fcis-19695	52	21	data	data	PROPN
fcis-19695	52	22	set	set	VERB
fcis-19695	52	23	(	(	PUNCT
fcis-19695	52	24	magnetic	magnetic	ADJ
fcis-19695	52	25	resonance	resonance	NOUN
fcis-19695	52	26	image	image	NOUN
fcis-19695	52	27	data	datum	NOUN
fcis-19695	52	28	set	set	VERB
fcis-19695	52	29	)	)	PUNCT
fcis-19695	52	30	to	to	PART
fcis-19695	52	31	ensure	ensure	VERB
fcis-19695	52	32	that	that	SCONJ
fcis-19695	52	33	the	the	DET
fcis-19695	52	34	data	datum	NOUN
fcis-19695	52	35	set	set	VERB
fcis-19695	52	36	contains	contain	VERB
fcis-19695	52	37	medical	medical	ADJ
fcis-19695	52	38	image	image	NOUN
fcis-19695	52	39	data	datum	NOUN
fcis-19695	52	40	of	of	ADP
fcis-19695	52	41	different	different	ADJ
fcis-19695	52	42	cases	case	NOUN
fcis-19695	52	43	and	and	CCONJ
fcis-19695	52	44	different	different	ADJ
fcis-19695	52	45	diseases	disease	NOUN
fcis-19695	52	46	.	.	PUNCT
fcis-19695	53	1	3.2	3.2	NUM
fcis-19695	53	2	.	.	PUNCT
fcis-19695	53	3	experimental	experimental	ADJ
fcis-19695	53	4	method	method	NOUN
fcis-19695	53	5	choose	choose	VERB
fcis-19695	53	6	different	different	ADJ
fcis-19695	53	7	deep	deep	ADJ
fcis-19695	53	8	learning	learning	NOUN
fcis-19695	53	9	models	model	NOUN
fcis-19695	53	10	,	,	PUNCT
fcis-19695	53	11	including	include	VERB
fcis-19695	53	12	reconstruction	reconstruction	NOUN
fcis-19695	53	13	network	network	NOUN
fcis-19695	53	14	based	base	VERB
fcis-19695	53	15	on	on	ADP
fcis-19695	53	16	cnn	cnn	PROPN
fcis-19695	53	17	[	[	X
fcis-19695	53	18	18	18	NUM
fcis-19695	53	19	]	]	PUNCT
fcis-19695	53	20	,	,	PUNCT
fcis-19695	53	21	enhanced	enhanced	ADJ
fcis-19695	53	22	network	network	NOUN
fcis-19695	53	23	based	base	VERB
fcis-19695	53	24	on	on	ADP
fcis-19695	53	25	gan	gan	NOUN
fcis-19695	53	26	and	and	CCONJ
fcis-19695	53	27	reconstruction	reconstruction	NOUN
fcis-19695	53	28	network	network	NOUN
fcis-19695	53	29	based	base	VERB
fcis-19695	53	30	on	on	ADP
fcis-19695	53	31	autoencoder[19	autoencoder[19	NOUN
fcis-19695	53	32	]	]	PUNCT
fcis-19695	53	33	.	.	PUNCT
fcis-19695	54	1	the	the	DET
fcis-19695	54	2	experiment	experiment	NOUN
fcis-19695	54	3	preprocessed	preprocesse	VERB
fcis-19695	54	4	the	the	DET
fcis-19695	54	5	original	original	ADJ
fcis-19695	54	6	medical	medical	ADJ
fcis-19695	54	7	image	image	NOUN
fcis-19695	54	8	data	datum	NOUN
fcis-19695	54	9	,	,	PUNCT
fcis-19695	54	10	including	include	VERB
fcis-19695	54	11	noise	noise	NOUN
fcis-19695	54	12	removal	removal	NOUN
fcis-19695	54	13	,	,	PUNCT
fcis-19695	54	14	standardization	standardization	NOUN
fcis-19695	54	15	and	and	CCONJ
fcis-19695	54	16	image	image	NOUN
fcis-19695	54	17	enhancement[20	enhancement[20	PROPN
fcis-19695	54	18	]	]	PUNCT
fcis-19695	54	19	.	.	PUNCT
fcis-19695	55	1	the	the	DET
fcis-19695	55	2	preprocessed	preprocesse	VERB
fcis-19695	55	3	medical	medical	ADJ
fcis-19695	55	4	image	image	NOUN
fcis-19695	55	5	data	datum	NOUN
fcis-19695	55	6	set	set	VERB
fcis-19695	55	7	is	be	AUX
fcis-19695	55	8	divided	divide	VERB
fcis-19695	55	9	into	into	ADP
fcis-19695	55	10	training	training	NOUN
fcis-19695	55	11	set	set	NOUN
fcis-19695	55	12	,	,	PUNCT
fcis-19695	55	13	verification	verification	NOUN
fcis-19695	55	14	set	set	NOUN
fcis-19695	55	15	and	and	CCONJ
fcis-19695	55	16	test	test	NOUN
fcis-19695	55	17	set	set	VERB
fcis-19695	55	18	.	.	PUNCT
fcis-19695	56	1	the	the	DET
fcis-19695	56	2	training	training	NOUN
fcis-19695	56	3	set	set	NOUN
fcis-19695	56	4	is	be	AUX
fcis-19695	56	5	used	use	VERB
fcis-19695	56	6	to	to	PART
fcis-19695	56	7	train	train	VERB
fcis-19695	56	8	the	the	DET
fcis-19695	56	9	deep	deep	ADJ
fcis-19695	56	10	learning	learning	NOUN
fcis-19695	56	11	model	model	NOUN
fcis-19695	56	12	,	,	PUNCT
fcis-19695	56	13	and	and	CCONJ
fcis-19695	56	14	the	the	DET
fcis-19695	56	15	model	model	NOUN
fcis-19695	56	16	superparameter	superparameter	NOUN
fcis-19695	56	17	is	be	AUX
fcis-19695	56	18	adjusted	adjust	VERB
fcis-19695	56	19	through	through	ADP
fcis-19695	56	20	the	the	DET
fcis-19695	56	21	verification	verification	NOUN
fcis-19695	56	22	set[21	set[21	NOUN
fcis-19695	56	23	]	]	PUNCT
fcis-19695	56	24	.	.	PUNCT
fcis-19695	57	1	evaluate	evaluate	VERB
fcis-19695	57	2	the	the	DET
fcis-19695	57	3	performance	performance	NOUN
fcis-19695	57	4	of	of	ADP
fcis-19695	57	5	the	the	DET
fcis-19695	57	6	trained	train	VERB
fcis-19695	57	7	deep	deep	ADJ
fcis-19695	57	8	learning	learning	NOUN
fcis-19695	57	9	model	model	NOUN
fcis-19695	57	10	on	on	ADP
fcis-19695	57	11	the	the	DET
fcis-19695	57	12	test	test	NOUN
fcis-19695	57	13	set	set	NOUN
fcis-19695	57	14	,	,	PUNCT
fcis-19695	57	15	including	include	VERB
fcis-19695	57	16	image	image	NOUN
fcis-19695	57	17	quality	quality	NOUN
fcis-19695	57	18	,	,	PUNCT
fcis-19695	57	19	reconstruction	reconstruction	NOUN
fcis-19695	57	20	accuracy	accuracy	NOUN
fcis-19695	57	21	,	,	PUNCT
fcis-19695	57	22	noise	noise	NOUN
fcis-19695	57	23	removal	removal	NOUN
fcis-19695	57	24	effect	effect	NOUN
fcis-19695	57	25	and	and	CCONJ
fcis-19695	57	26	other	other	ADJ
fcis-19695	57	27	indicators	indicator	NOUN
fcis-19695	57	28	.	.	PUNCT
fcis-19695	58	1	the	the	DET
fcis-19695	58	2	deep	deep	ADJ
fcis-19695	58	3	learning	learning	NOUN
fcis-19695	58	4	model	model	NOUN
fcis-19695	58	5	is	be	AUX
fcis-19695	58	6	compared	compare	VERB
fcis-19695	58	7	with	with	ADP
fcis-19695	58	8	the	the	DET
fcis-19695	58	9	traditional	traditional	ADJ
fcis-19695	58	10	radiology	radiology	NOUN
fcis-19695	58	11	image	image	NOUN
fcis-19695	58	12	reconstruction	reconstruction	NOUN
fcis-19695	58	13	and	and	CCONJ
fcis-19695	58	14	enhancement	enhancement	NOUN
fcis-19695	58	15	methods	method	NOUN
fcis-19695	58	16	,	,	PUNCT
fcis-19695	58	17	and	and	CCONJ
fcis-19695	58	18	their	their	PRON
fcis-19695	58	19	differences	difference	NOUN
fcis-19695	58	20	in	in	ADP
fcis-19695	58	21	image	image	NOUN
fcis-19695	58	22	quality	quality	NOUN
fcis-19695	58	23	and	and	CCONJ
fcis-19695	58	24	processing	processing	NOUN
fcis-19695	58	25	effect	effect	NOUN
fcis-19695	58	26	are	be	AUX
fcis-19695	58	27	analyzed	analyze	VERB
fcis-19695	58	28	.	.	PUNCT
fcis-19695	59	1	3.3	3.3	NUM
fcis-19695	59	2	.	.	PUNCT
fcis-19695	60	1	experimental	experimental	ADJ
fcis-19695	60	2	procedure	procedure	NOUN
fcis-19695	60	3	the	the	DET
fcis-19695	60	4	experiment	experiment	NOUN
fcis-19695	60	5	randomly	randomly	ADV
fcis-19695	60	6	selects	select	VERB
fcis-19695	60	7	a	a	DET
fcis-19695	60	8	part	part	NOUN
fcis-19695	60	9	of	of	ADP
fcis-19695	60	10	medical	medical	ADJ
fcis-19695	60	11	image	image	NOUN
fcis-19695	60	12	data	datum	NOUN
fcis-19695	60	13	from	from	ADP
fcis-19695	60	14	the	the	DET
fcis-19695	60	15	public	public	ADJ
fcis-19695	60	16	data	datum	NOUN
fcis-19695	60	17	set	set	VERB
fcis-19695	60	18	as	as	ADP
fcis-19695	60	19	the	the	DET
fcis-19695	60	20	experimental	experimental	ADJ
fcis-19695	60	21	sample	sample	NOUN
fcis-19695	60	22	to	to	PART
fcis-19695	60	23	ensure	ensure	VERB
fcis-19695	60	24	that	that	SCONJ
fcis-19695	60	25	the	the	DET
fcis-19695	60	26	sample	sample	NOUN
fcis-19695	60	27	covers	cover	VERB
fcis-19695	60	28	different	different	ADJ
fcis-19695	60	29	disease	disease	NOUN
fcis-19695	60	30	types	type	NOUN
fcis-19695	60	31	and	and	CCONJ
fcis-19695	60	32	different	different	ADJ
fcis-19695	60	33	cases	case	NOUN
fcis-19695	60	34	.	.	PUNCT
fcis-19695	61	1	preprocessing	preprocesse	VERB
fcis-19695	61	2	the	the	DET
fcis-19695	61	3	selected	select	VERB
fcis-19695	61	4	medical	medical	ADJ
fcis-19695	61	5	image	image	NOUN
fcis-19695	61	6	data	datum	NOUN
fcis-19695	61	7	,	,	PUNCT
fcis-19695	61	8	including	include	VERB
fcis-19695	61	9	denoising	denoising	NOUN
fcis-19695	61	10	and	and	CCONJ
fcis-19695	61	11	image	image	NOUN
fcis-19695	61	12	enhancement	enhancement	NOUN
fcis-19695	61	13	.	.	PUNCT
fcis-19695	62	1	the	the	DET
fcis-19695	62	2	preprocessed	preprocesse	VERB
fcis-19695	62	3	data	datum	NOUN
fcis-19695	62	4	is	be	AUX
fcis-19695	62	5	used	use	VERB
fcis-19695	62	6	to	to	PART
fcis-19695	62	7	train	train	VERB
fcis-19695	62	8	the	the	DET
fcis-19695	62	9	deep	deep	ADJ
fcis-19695	62	10	learning	learning	NOUN
fcis-19695	62	11	model	model	NOUN
fcis-19695	62	12	,	,	PUNCT
fcis-19695	62	13	and	and	CCONJ
fcis-19695	62	14	the	the	DET
fcis-19695	62	15	parameters	parameter	NOUN
fcis-19695	62	16	are	be	AUX
fcis-19695	62	17	optimized	optimize	VERB
fcis-19695	62	18	on	on	ADP
fcis-19695	62	19	the	the	DET
fcis-19695	62	20	verification	verification	NOUN
fcis-19695	62	21	set	set	NOUN
fcis-19695	62	22	.	.	PUNCT
fcis-19695	63	1	evaluate	evaluate	VERB
fcis-19695	63	2	the	the	DET
fcis-19695	63	3	performance	performance	NOUN
fcis-19695	63	4	of	of	ADP
fcis-19695	63	5	the	the	DET
fcis-19695	63	6	trained	train	VERB
fcis-19695	63	7	deep	deep	ADJ
fcis-19695	63	8	learning	learning	NOUN
fcis-19695	63	9	model	model	NOUN
fcis-19695	63	10	on	on	ADP
fcis-19695	63	11	the	the	DET
fcis-19695	63	12	test	test	NOUN
fcis-19695	63	13	set	set	NOUN
fcis-19695	63	14	,	,	PUNCT
fcis-19695	63	15	and	and	CCONJ
fcis-19695	63	16	record	record	VERB
fcis-19695	63	17	the	the	DET
fcis-19695	63	18	evaluation	evaluation	NOUN
fcis-19695	63	19	indicators	indicator	NOUN
fcis-19695	63	20	.	.	PUNCT
fcis-19695	64	1	this	this	DET
fcis-19695	64	2	paper	paper	NOUN
fcis-19695	64	3	analyzes	analyze	VERB
fcis-19695	64	4	the	the	DET
fcis-19695	64	5	differences	difference	NOUN
fcis-19695	64	6	between	between	ADP
fcis-19695	64	7	deep	deep	ADJ
fcis-19695	64	8	learning	learning	NOUN
fcis-19695	64	9	model	model	NOUN
fcis-19695	64	10	and	and	CCONJ
fcis-19695	64	11	traditional	traditional	ADJ
fcis-19695	64	12	methods	method	NOUN
fcis-19695	64	13	in	in	ADP
fcis-19695	64	14	image	image	NOUN
fcis-19695	64	15	reconstruction	reconstruction	NOUN
fcis-19695	64	16	and	and	CCONJ
fcis-19695	64	17	enhancement	enhancement	NOUN
fcis-19695	64	18	,	,	PUNCT
fcis-19695	64	19	and	and	CCONJ
fcis-19695	64	20	discusses	discuss	VERB
fcis-19695	64	21	the	the	DET
fcis-19695	64	22	advantages	advantage	NOUN
fcis-19695	64	23	and	and	CCONJ
fcis-19695	64	24	limitations	limitation	NOUN
fcis-19695	64	25	of	of	ADP
fcis-19695	64	26	deep	deep	ADJ
fcis-19695	64	27	learning	learning	NOUN
fcis-19695	64	28	in	in	ADP
fcis-19695	64	29	radiology	radiology	NOUN
fcis-19695	64	30	image	image	NOUN
fcis-19695	64	31	processing	processing	NOUN
fcis-19695	64	32	.	.	PUNCT
fcis-19695	65	1	3.4	3.4	NUM
fcis-19695	65	2	.	.	PUNCT
fcis-19695	65	3	experimental	experimental	ADJ
fcis-19695	65	4	results	result	NOUN
fcis-19695	65	5	and	and	CCONJ
fcis-19695	65	6	analysis	analysis	NOUN
fcis-19695	65	7	the	the	DET
fcis-19695	65	8	generalization	generalization	NOUN
fcis-19695	65	9	ability	ability	NOUN
fcis-19695	65	10	score	score	NOUN
fcis-19695	65	11	reflects	reflect	VERB
fcis-19695	65	12	the	the	DET
fcis-19695	65	13	performance	performance	NOUN
fcis-19695	65	14	of	of	ADP
fcis-19695	65	15	the	the	DET
fcis-19695	65	16	model	model	NOUN
fcis-19695	65	17	in	in	ADP
fcis-19695	65	18	processing	process	VERB
fcis-19695	65	19	medical	medical	ADJ
fcis-19695	65	20	image	image	NOUN
fcis-19695	65	21	data	datum	NOUN
fcis-19695	65	22	of	of	ADP
fcis-19695	65	23	different	different	ADJ
fcis-19695	65	24	disease	disease	NOUN
fcis-19695	65	25	types	type	NOUN
fcis-19695	65	26	.	.	PUNCT
fcis-19695	66	1	the	the	PRON
fcis-19695	66	2	higher	high	ADJ
fcis-19695	66	3	the	the	DET
fcis-19695	66	4	score	score	NOUN
fcis-19695	66	5	,	,	PUNCT
fcis-19695	66	6	the	the	PRON
fcis-19695	66	7	better	well	ADJ
fcis-19695	66	8	the	the	DET
fcis-19695	66	9	generalization	generalization	NOUN
fcis-19695	66	10	ability	ability	NOUN
fcis-19695	66	11	of	of	ADP
fcis-19695	66	12	the	the	DET
fcis-19695	66	13	model	model	NOUN
fcis-19695	66	14	,	,	PUNCT
fcis-19695	66	15	which	which	PRON
fcis-19695	66	16	can	can	AUX
fcis-19695	66	17	adapt	adapt	VERB
fcis-19695	66	18	to	to	ADP
fcis-19695	66	19	data	datum	NOUN
fcis-19695	66	20	of	of	ADP
fcis-19695	66	21	different	different	ADJ
fcis-19695	66	22	disease	disease	NOUN
fcis-19695	66	23	types	type	NOUN
fcis-19695	66	24	and	and	CCONJ
fcis-19695	66	25	produce	produce	VERB
fcis-19695	66	26	robust	robust	ADJ
fcis-19695	66	27	prediction	prediction	NOUN
fcis-19695	66	28	results	result	NOUN
fcis-19695	66	29	.	.	PUNCT
fcis-19695	67	1	figure	figure	NOUN
fcis-19695	67	2	2	2	NUM
fcis-19695	67	3	shows	show	VERB
fcis-19695	67	4	the	the	DET
fcis-19695	67	5	generalization	generalization	NOUN
fcis-19695	67	6	ability	ability	NOUN
fcis-19695	67	7	scores	score	NOUN
fcis-19695	67	8	of	of	ADP
fcis-19695	67	9	different	different	ADJ
fcis-19695	67	10	deep	deep	ADJ
fcis-19695	67	11	learning	learning	NOUN
fcis-19695	67	12	models	model	NOUN
fcis-19695	67	13	.	.	PUNCT
fcis-19695	68	1	figure	figure	NOUN
fcis-19695	68	2	2	2	NUM
fcis-19695	68	3	.	.	PUNCT
fcis-19695	68	4	generalization	generalization	NOUN
fcis-19695	68	5	ability	ability	NOUN
fcis-19695	68	6	of	of	ADP
fcis-19695	68	7	different	different	ADJ
fcis-19695	68	8	deep	deep	ADJ
fcis-19695	68	9	learning	learning	NOUN
fcis-19695	68	10	models	model	NOUN
fcis-19695	68	11	first	first	ADV
fcis-19695	68	12	of	of	ADP
fcis-19695	68	13	all	all	PRON
fcis-19695	68	14	,	,	PUNCT
fcis-19695	68	15	it	it	PRON
fcis-19695	68	16	can	can	AUX
fcis-19695	68	17	be	be	AUX
fcis-19695	68	18	seen	see	VERB
fcis-19695	68	19	from	from	ADP
fcis-19695	68	20	the	the	DET
fcis-19695	68	21	figure	figure	NOUN
fcis-19695	68	22	that	that	SCONJ
fcis-19695	68	23	there	there	PRON
fcis-19695	68	24	are	be	VERB
fcis-19695	68	25	some	some	DET
fcis-19695	68	26	differences	difference	NOUN
fcis-19695	68	27	in	in	ADP
fcis-19695	68	28	the	the	DET
fcis-19695	68	29	generalization	generalization	NOUN
fcis-19695	68	30	ability	ability	NOUN
fcis-19695	68	31	scores	score	NOUN
fcis-19695	68	32	of	of	ADP
fcis-19695	68	33	the	the	DET
fcis-19695	68	34	three	three	NUM
fcis-19695	68	35	deep	deep	ADJ
fcis-19695	68	36	learning	learning	NOUN
fcis-19695	68	37	models	model	NOUN
fcis-19695	68	38	in	in	ADP
fcis-19695	68	39	different	different	ADJ
fcis-19695	68	40	disease	disease	NOUN
fcis-19695	68	41	types	type	NOUN
fcis-19695	68	42	.	.	PUNCT
fcis-19695	69	1	gan	gan	PROPN
fcis-19695	69	2	model	model	PROPN
fcis-19695	69	3	shows	show	VERB
fcis-19695	69	4	the	the	DET
fcis-19695	69	5	highest	high	ADJ
fcis-19695	69	6	generalization	generalization	NOUN
fcis-19695	69	7	ability	ability	NOUN
fcis-19695	69	8	score	score	NOUN
fcis-19695	69	9	in	in	ADP
fcis-19695	69	10	most	most	ADJ
fcis-19695	69	11	disease	disease	NOUN
fcis-19695	69	12	types	type	NOUN
fcis-19695	69	13	.	.	PUNCT
fcis-19695	70	1	this	this	PRON
fcis-19695	70	2	shows	show	VERB
fcis-19695	70	3	that	that	SCONJ
fcis-19695	70	4	the	the	DET
fcis-19695	70	5	gan	gan	PROPN
fcis-19695	70	6	model	model	NOUN
fcis-19695	70	7	has	have	VERB
fcis-19695	70	8	strong	strong	ADJ
fcis-19695	70	9	adaptability	adaptability	NOUN
fcis-19695	70	10	and	and	CCONJ
fcis-19695	70	11	generalization	generalization	NOUN
fcis-19695	70	12	ability	ability	NOUN
fcis-19695	70	13	when	when	SCONJ
fcis-19695	70	14	dealing	deal	VERB
fcis-19695	70	15	with	with	ADP
fcis-19695	70	16	different	different	ADJ
fcis-19695	70	17	types	type	NOUN
fcis-19695	70	18	of	of	ADP
fcis-19695	70	19	medical	medical	ADJ
fcis-19695	70	20	image	image	NOUN
fcis-19695	70	21	data	datum	NOUN
fcis-19695	70	22	,	,	PUNCT
fcis-19695	70	23	and	and	CCONJ
fcis-19695	70	24	can	can	AUX
fcis-19695	70	25	produce	produce	VERB
fcis-19695	70	26	high	high	ADJ
fcis-19695	70	27	-	-	PUNCT
fcis-19695	70	28	quality	quality	NOUN
fcis-19695	70	29	reconstruction	reconstruction	NOUN
fcis-19695	70	30	and	and	CCONJ
fcis-19695	70	31	enhancement	enhancement	NOUN
fcis-19695	70	32	results	result	NOUN
fcis-19695	70	33	.	.	PUNCT
fcis-19695	71	1	cnn	cnn	PROPN
fcis-19695	71	2	model	model	PROPN
fcis-19695	71	3	also	also	ADV
fcis-19695	71	4	shows	show	VERB
fcis-19695	71	5	a	a	DET
fcis-19695	71	6	high	high	ADJ
fcis-19695	71	7	generalization	generalization	NOUN
fcis-19695	71	8	ability	ability	NOUN
fcis-19695	71	9	score	score	NOUN
fcis-19695	71	10	in	in	ADP
fcis-19695	71	11	many	many	ADJ
fcis-19695	71	12	disease	disease	NOUN
fcis-19695	71	13	types	type	NOUN
fcis-19695	71	14	,	,	PUNCT
fcis-19695	71	15	although	although	SCONJ
fcis-19695	71	16	it	it	PRON
fcis-19695	71	17	is	be	AUX
fcis-19695	71	18	slightly	slightly	ADV
fcis-19695	71	19	lower	low	ADJ
fcis-19695	71	20	than	than	ADP
fcis-19695	71	21	gan	gan	PROPN
fcis-19695	71	22	model	model	NOUN
fcis-19695	71	23	,	,	PUNCT
fcis-19695	71	24	but	but	CCONJ
fcis-19695	71	25	it	it	PRON
fcis-19695	71	26	is	be	AUX
fcis-19695	71	27	still	still	ADV
fcis-19695	71	28	better	well	ADJ
fcis-19695	71	29	than	than	ADP
fcis-19695	71	30	autoencoder	autoencoder	PROPN
fcis-19695	71	31	model	model	NOUN
fcis-19695	71	32	.	.	PUNCT
fcis-19695	72	1	cnn	cnn	PROPN
fcis-19695	72	2	model	model	NOUN
fcis-19695	72	3	can	can	AUX
fcis-19695	72	4	accurately	accurately	ADV
fcis-19695	72	5	reconstruct	reconstruct	VERB
fcis-19695	72	6	and	and	CCONJ
fcis-19695	72	7	enhance	enhance	VERB
fcis-19695	72	8	different	different	ADJ
fcis-19695	72	9	types	type	NOUN
fcis-19695	72	10	of	of	ADP
fcis-19695	72	11	data	datum	NOUN
fcis-19695	72	12	by	by	ADP
fcis-19695	72	13	learning	learn	VERB
fcis-19695	72	14	the	the	DET
fcis-19695	72	15	feature	feature	NOUN
fcis-19695	72	16	representation	representation	NOUN
fcis-19695	72	17	of	of	ADP
fcis-19695	72	18	medical	medical	ADJ
fcis-19695	72	19	image	image	NOUN
fcis-19695	72	20	data	datum	NOUN
fcis-19695	72	21	.	.	PUNCT
fcis-19695	73	1	the	the	DET
fcis-19695	73	2	generalization	generalization	NOUN
fcis-19695	73	3	ability	ability	NOUN
fcis-19695	73	4	score	score	NOUN
fcis-19695	73	5	of	of	ADP
fcis-19695	73	6	autoencoder	autoencoder	NOUN
fcis-19695	73	7	model	model	NOUN
fcis-19695	73	8	in	in	ADP
fcis-19695	73	9	some	some	DET
fcis-19695	73	10	disease	disease	NOUN
fcis-19695	73	11	types	type	NOUN
fcis-19695	73	12	is	be	AUX
fcis-19695	73	13	relatively	relatively	ADV
fcis-19695	73	14	low	low	ADJ
fcis-19695	73	15	.	.	PUNCT
fcis-19695	74	1	although	although	SCONJ
fcis-19695	74	2	the	the	DET
fcis-19695	74	3	autoencoder	autoencoder	NOUN
fcis-19695	74	4	model	model	NOUN
fcis-19695	74	5	performs	perform	VERB
fcis-19695	74	6	well	well	ADV
fcis-19695	74	7	in	in	ADP
fcis-19695	74	8	some	some	DET
fcis-19695	74	9	specific	specific	ADJ
fcis-19695	74	10	tasks	task	NOUN
fcis-19695	74	11	,	,	PUNCT
fcis-19695	74	12	it	it	PRON
fcis-19695	74	13	may	may	AUX
fcis-19695	74	14	have	have	VERB
fcis-19695	74	15	some	some	DET
fcis-19695	74	16	limitations	limitation	NOUN
fcis-19695	74	17	when	when	SCONJ
fcis-19695	74	18	dealing	deal	VERB
fcis-19695	74	19	with	with	ADP
fcis-19695	74	20	complex	complex	ADJ
fcis-19695	74	21	and	and	CCONJ
fcis-19695	74	22	changeable	changeable	ADJ
fcis-19695	74	23	medical	medical	ADJ
fcis-19695	74	24	image	image	NOUN
fcis-19695	74	25	data	datum	NOUN
fcis-19695	74	26	,	,	PUNCT
fcis-19695	74	27	resulting	result	VERB
fcis-19695	74	28	in	in	ADP
fcis-19695	74	29	its	its	PRON
fcis-19695	74	30	poor	poor	ADJ
fcis-19695	74	31	generalization	generalization	NOUN
fcis-19695	74	32	ability	ability	NOUN
fcis-19695	74	33	.	.	PUNCT
fcis-19695	75	1	to	to	PART
fcis-19695	75	2	sum	sum	VERB
fcis-19695	75	3	up	up	ADP
fcis-19695	75	4	,	,	PUNCT
fcis-19695	75	5	from	from	ADP
fcis-19695	75	6	the	the	DET
fcis-19695	75	7	perspective	perspective	NOUN
fcis-19695	75	8	of	of	ADP
fcis-19695	75	9	generalization	generalization	NOUN
fcis-19695	75	10	ability	ability	NOUN
fcis-19695	75	11	score	score	NOUN
fcis-19695	75	12	,	,	PUNCT
fcis-19695	75	13	gan	gan	PROPN
fcis-19695	75	14	model	model	NOUN
fcis-19695	75	15	has	have	VERB
fcis-19695	75	16	better	well	ADJ
fcis-19695	75	17	generalization	generalization	NOUN
fcis-19695	75	18	ability	ability	NOUN
fcis-19695	75	19	than	than	ADP
fcis-19695	75	20	cnn	cnn	PROPN
fcis-19695	75	21	and	and	CCONJ
fcis-19695	75	22	autoencoder	autoencoder	NOUN
fcis-19695	75	23	model	model	NOUN
fcis-19695	75	24	,	,	PUNCT
fcis-19695	75	25	and	and	CCONJ
fcis-19695	75	26	can	can	AUX
fcis-19695	75	27	better	well	ADV
fcis-19695	75	28	handle	handle	VERB
fcis-19695	75	29	medical	medical	ADJ
fcis-19695	75	30	image	image	NOUN
fcis-19695	75	31	data	datum	NOUN
fcis-19695	75	32	of	of	ADP
fcis-19695	75	33	different	different	ADJ
fcis-19695	75	34	disease	disease	NOUN
fcis-19695	75	35	types	type	NOUN
fcis-19695	75	36	.	.	PUNCT
fcis-19695	76	1	this	this	DET
fcis-19695	76	2	result	result	NOUN
fcis-19695	76	3	shows	show	VERB
fcis-19695	76	4	that	that	SCONJ
fcis-19695	76	5	gan	gan	PROPN
fcis-19695	76	6	model	model	NOUN
fcis-19695	76	7	has	have	VERB
fcis-19695	76	8	a	a	DET
fcis-19695	76	9	wide	wide	ADJ
fcis-19695	76	10	application	application	NOUN
fcis-19695	76	11	prospect	prospect	NOUN
fcis-19695	76	12	in	in	ADP
fcis-19695	76	13	the	the	DET
fcis-19695	76	14	field	field	NOUN
fcis-19695	76	15	of	of	ADP
fcis-19695	76	16	medical	medical	ADJ
fcis-19695	76	17	image	image	NOUN
fcis-19695	76	18	processing	processing	NOUN
fcis-19695	76	19	and	and	CCONJ
fcis-19695	76	20	is	be	AUX
fcis-19695	76	21	expected	expect	VERB
fcis-19695	76	22	to	to	PART
fcis-19695	76	23	become	become	VERB
fcis-19695	76	24	one	one	NUM
fcis-19695	76	25	of	of	ADP
fcis-19695	76	26	the	the	DET
fcis-19695	76	27	main	main	ADJ
fcis-19695	76	28	technologies	technology	NOUN
fcis-19695	76	29	for	for	ADP
fcis-19695	76	30	medical	medical	ADJ
fcis-19695	76	31	image	image	NOUN
fcis-19695	76	32	reconstruction	reconstruction	NOUN
fcis-19695	76	33	and	and	CCONJ
fcis-19695	76	34	enhancement	enhancement	NOUN
fcis-19695	76	35	in	in	ADP
fcis-19695	76	36	the	the	DET
fcis-19695	76	37	future[22	future[22	NOUN
fcis-19695	76	38	-	-	PUNCT
fcis-19695	76	39	24	24	NUM
fcis-19695	76	40	]	]	PUNCT
fcis-19695	76	41	.	.	PUNCT
fcis-19695	77	1	at	at	ADP
fcis-19695	77	2	the	the	DET
fcis-19695	77	3	same	same	ADJ
fcis-19695	77	4	time	time	NOUN
fcis-19695	77	5	,	,	PUNCT
fcis-19695	77	6	cnn	cnn	PROPN
fcis-19695	77	7	model	model	NOUN
fcis-19695	77	8	also	also	ADV
fcis-19695	77	9	shows	show	VERB
fcis-19695	77	10	high	high	ADJ
fcis-19695	77	11	generalization	generalization	NOUN
fcis-19695	77	12	ability	ability	NOUN
fcis-19695	77	13	and	and	CCONJ
fcis-19695	77	14	can	can	AUX
fcis-19695	77	15	be	be	AUX
fcis-19695	77	16	used	use	VERB
fcis-19695	77	17	as	as	ADP
fcis-19695	77	18	a	a	DET
fcis-19695	77	19	stable	stable	ADJ
fcis-19695	77	20	and	and	CCONJ
fcis-19695	77	21	reliable	reliable	ADJ
fcis-19695	77	22	choice	choice	NOUN
fcis-19695	77	23	.	.	PUNCT
fcis-19695	78	1	the	the	DET
fcis-19695	78	2	autoencoder	autoencoder	NOUN
fcis-19695	78	3	model	model	NOUN
fcis-19695	78	4	may	may	AUX
fcis-19695	78	5	75	75	NUM
fcis-19695	78	6	need	need	VERB
fcis-19695	78	7	to	to	PART
fcis-19695	78	8	be	be	AUX
fcis-19695	78	9	further	far	ADV
fcis-19695	78	10	optimized	optimize	VERB
fcis-19695	78	11	and	and	CCONJ
fcis-19695	78	12	improved	improve	VERB
fcis-19695	78	13	in	in	ADP
fcis-19695	78	14	some	some	DET
fcis-19695	78	15	scenarios	scenario	NOUN
fcis-19695	78	16	to	to	PART
fcis-19695	78	17	improve	improve	VERB
fcis-19695	78	18	its	its	PRON
fcis-19695	78	19	generalization	generalization	NOUN
fcis-19695	78	20	ability	ability	NOUN
fcis-19695	78	21	in	in	ADP
fcis-19695	78	22	processing	process	VERB
fcis-19695	78	23	medical	medical	ADJ
fcis-19695	78	24	image	image	NOUN
fcis-19695	78	25	data	datum	NOUN
fcis-19695	78	26	.	.	PUNCT
fcis-19695	79	1	according	accord	VERB
fcis-19695	79	2	to	to	ADP
fcis-19695	79	3	table	table	NOUN
fcis-19695	79	4	1	1	NUM
fcis-19695	79	5	,	,	PUNCT
fcis-19695	79	6	compared	compare	VERB
fcis-19695	79	7	with	with	ADP
fcis-19695	79	8	the	the	DET
fcis-19695	79	9	traditional	traditional	ADJ
fcis-19695	79	10	methods	method	NOUN
fcis-19695	79	11	,	,	PUNCT
fcis-19695	79	12	the	the	DET
fcis-19695	79	13	three	three	NUM
fcis-19695	79	14	deep	deep	ADJ
fcis-19695	79	15	learning	learning	NOUN
fcis-19695	79	16	models	model	NOUN
fcis-19695	79	17	,	,	PUNCT
fcis-19695	79	18	cnn	cnn	PROPN
fcis-19695	79	19	,	,	PUNCT
fcis-19695	79	20	gan	gan	PROPN
fcis-19695	79	21	and	and	CCONJ
fcis-19695	79	22	autoencoder	autoencoder	NOUN
fcis-19695	79	23	,	,	PUNCT
fcis-19695	79	24	have	have	AUX
fcis-19695	79	25	achieved	achieve	VERB
fcis-19695	79	26	better	well	ADJ
fcis-19695	79	27	performance	performance	NOUN
fcis-19695	79	28	in	in	ADP
fcis-19695	79	29	image	image	NOUN
fcis-19695	79	30	quality	quality	NOUN
fcis-19695	79	31	,	,	PUNCT
fcis-19695	79	32	noise	noise	NOUN
fcis-19695	79	33	removal	removal	NOUN
fcis-19695	79	34	and	and	CCONJ
fcis-19695	79	35	image	image	NOUN
fcis-19695	79	36	detail	detail	NOUN
fcis-19695	79	37	restoration	restoration	NOUN
fcis-19695	79	38	.	.	PUNCT
fcis-19695	80	1	among	among	ADP
fcis-19695	80	2	them	they	PRON
fcis-19695	80	3	,	,	PUNCT
fcis-19695	80	4	gan	gan	PROPN
fcis-19695	80	5	model	model	NOUN
fcis-19695	80	6	is	be	AUX
fcis-19695	80	7	the	the	DET
fcis-19695	80	8	best	good	ADJ
fcis-19695	80	9	in	in	ADP
fcis-19695	80	10	image	image	NOUN
fcis-19695	80	11	quality	quality	NOUN
fcis-19695	80	12	and	and	CCONJ
fcis-19695	80	13	noise	noise	NOUN
fcis-19695	80	14	removal	removal	NOUN
fcis-19695	80	15	,	,	PUNCT
fcis-19695	80	16	while	while	SCONJ
fcis-19695	80	17	autoencoder	autoencoder	NOUN
fcis-19695	80	18	model	model	NOUN
fcis-19695	80	19	is	be	AUX
fcis-19695	80	20	slightly	slightly	ADV
fcis-19695	80	21	inferior	inferior	ADJ
fcis-19695	80	22	to	to	PART
fcis-19695	80	23	gan	gan	VERB
fcis-19695	80	24	model	model	NOUN
fcis-19695	80	25	in	in	ADP
fcis-19695	80	26	image	image	NOUN
fcis-19695	80	27	detail	detail	NOUN
fcis-19695	80	28	restoration	restoration	NOUN
fcis-19695	80	29	but	but	CCONJ
fcis-19695	80	30	still	still	ADV
fcis-19695	80	31	superior	superior	ADJ
fcis-19695	80	32	to	to	ADP
fcis-19695	80	33	traditional	traditional	ADJ
fcis-19695	80	34	methods	method	NOUN
fcis-19695	80	35	,	,	PUNCT
fcis-19695	80	36	while	while	SCONJ
fcis-19695	80	37	cnn	cnn	PROPN
fcis-19695	80	38	model	model	NOUN
fcis-19695	80	39	has	have	AUX
fcis-19695	80	40	made	make	VERB
fcis-19695	80	41	significant	significant	ADJ
fcis-19695	80	42	improvements	improvement	NOUN
fcis-19695	80	43	in	in	ADP
fcis-19695	80	44	three	three	NUM
fcis-19695	80	45	aspects	aspect	NOUN
fcis-19695	80	46	.	.	PUNCT
fcis-19695	81	1	table	table	NOUN
fcis-19695	81	2	1	1	NUM
fcis-19695	81	3	.	.	PUNCT
fcis-19695	82	1	performance	performance	NOUN
fcis-19695	82	2	comparison	comparison	NOUN
fcis-19695	82	3	results	result	VERB
fcis-19695	82	4	model	model	NOUN
fcis-19695	82	5	psnr	psnr	PROPN
fcis-19695	82	6	snr	snr	PROPN
fcis-19695	82	7	ssim	ssim	NOUN
fcis-19695	82	8	traditional	traditional	ADJ
fcis-19695	82	9	method	method	NOUN
fcis-19695	82	10	30.5	30.5	NUM
fcis-19695	82	11	db	db	PROPN
fcis-19695	82	12	15.2	15.2	NUM
fcis-19695	82	13	db	db	PROPN
fcis-19695	82	14	0.75	0.75	NUM
fcis-19695	82	15	cnn	cnn	PROPN
fcis-19695	82	16	34.2	34.2	NUM
fcis-19695	82	17	db	db	PROPN
fcis-19695	82	18	18.5	18.5	NUM
fcis-19695	82	19	db	db	PROPN
fcis-19695	82	20	0.82	0.82	NUM
fcis-19695	82	21	gan	gin	VERB
fcis-19695	82	22	35.7	35.7	NUM
fcis-19695	82	23	db	db	PROPN
fcis-19695	82	24	20.1	20.1	NUM
fcis-19695	82	25	db	db	PROPN
fcis-19695	82	26	0.85	0.85	NUM
fcis-19695	82	27	autoencoder	autoencoder	NOUN
fcis-19695	82	28	33.8	33.8	NUM
fcis-19695	82	29	db	db	PROPN
fcis-19695	82	30	17.8	17.8	NUM
fcis-19695	82	31	db	db	PROPN
fcis-19695	82	32	0.80	0.80	NUM
fcis-19695	82	33	it	it	PRON
fcis-19695	82	34	should	should	AUX
fcis-19695	82	35	be	be	AUX
fcis-19695	82	36	noted	note	VERB
fcis-19695	82	37	that	that	SCONJ
fcis-19695	82	38	medical	medical	ADJ
fcis-19695	82	39	image	image	NOUN
fcis-19695	82	40	data	datum	NOUN
fcis-19695	82	41	involves	involve	VERB
fcis-19695	82	42	the	the	DET
fcis-19695	82	43	privacy	privacy	NOUN
fcis-19695	82	44	of	of	ADP
fcis-19695	82	45	patients	patient	NOUN
fcis-19695	82	46	,	,	PUNCT
fcis-19695	82	47	and	and	CCONJ
fcis-19695	82	48	how	how	SCONJ
fcis-19695	82	49	to	to	PART
fcis-19695	82	50	ensure	ensure	VERB
fcis-19695	82	51	the	the	DET
fcis-19695	82	52	security	security	NOUN
fcis-19695	82	53	and	and	CCONJ
fcis-19695	82	54	privacy	privacy	NOUN
fcis-19695	82	55	of	of	ADP
fcis-19695	82	56	data	data	NOUN
fcis-19695	82	57	is	be	AUX
fcis-19695	82	58	an	an	DET
fcis-19695	82	59	important	important	ADJ
fcis-19695	82	60	issue	issue	NOUN
fcis-19695	82	61	.	.	PUNCT
fcis-19695	83	1	it	it	PRON
fcis-19695	83	2	is	be	AUX
fcis-19695	83	3	necessary	necessary	ADJ
fcis-19695	83	4	to	to	PART
fcis-19695	83	5	study	study	VERB
fcis-19695	83	6	the	the	DET
fcis-19695	83	7	deep	deep	ADJ
fcis-19695	83	8	learning	learning	NOUN
fcis-19695	83	9	model	model	NOUN
fcis-19695	83	10	based	base	VERB
fcis-19695	83	11	on	on	ADP
fcis-19695	83	12	privacy	privacy	NOUN
fcis-19695	83	13	protection	protection	NOUN
fcis-19695	83	14	,	,	PUNCT
fcis-19695	83	15	such	such	ADJ
fcis-19695	83	16	as	as	ADP
fcis-19695	83	17	federated	federated	ADJ
fcis-19695	83	18	learning	learning	NOUN
fcis-19695	83	19	and	and	CCONJ
fcis-19695	83	20	homomorphic	homomorphic	ADJ
fcis-19695	83	21	encryption	encryption	NOUN
fcis-19695	83	22	,	,	PUNCT
fcis-19695	83	23	to	to	PART
fcis-19695	83	24	ensure	ensure	VERB
fcis-19695	83	25	the	the	DET
fcis-19695	83	26	effective	effective	ADJ
fcis-19695	83	27	protection	protection	NOUN
fcis-19695	83	28	of	of	ADP
fcis-19695	83	29	patients	patient	NOUN
fcis-19695	83	30	'	'	PART
fcis-19695	83	31	privacy	privacy	NOUN
fcis-19695	83	32	information	information	NOUN
fcis-19695	83	33	in	in	ADP
fcis-19695	83	34	the	the	DET
fcis-19695	83	35	process	process	NOUN
fcis-19695	83	36	of	of	ADP
fcis-19695	83	37	medical	medical	ADJ
fcis-19695	83	38	image	image	NOUN
fcis-19695	83	39	processing	processing	NOUN
fcis-19695	83	40	.	.	PUNCT
fcis-19695	84	1	the	the	DET
fcis-19695	84	2	black	black	PROPN
fcis-19695	84	3	box	box	PROPN
fcis-19695	84	4	nature	nature	NOUN
fcis-19695	84	5	of	of	ADP
fcis-19695	84	6	deep	deep	ADJ
fcis-19695	84	7	learning	learning	NOUN
fcis-19695	84	8	model	model	NOUN
fcis-19695	84	9	limits	limit	VERB
fcis-19695	84	10	its	its	PRON
fcis-19695	84	11	interpretability	interpretability	NOUN
fcis-19695	84	12	in	in	ADP
fcis-19695	84	13	medical	medical	ADJ
fcis-19695	84	14	image	image	NOUN
fcis-19695	84	15	processing	processing	NOUN
fcis-19695	84	16	,	,	PUNCT
fcis-19695	84	17	and	and	CCONJ
fcis-19695	84	18	it	it	PRON
fcis-19695	84	19	is	be	AUX
fcis-19695	84	20	often	often	ADV
fcis-19695	84	21	difficult	difficult	ADJ
fcis-19695	84	22	for	for	SCONJ
fcis-19695	84	23	doctors	doctor	NOUN
fcis-19695	84	24	to	to	PART
fcis-19695	84	25	understand	understand	VERB
fcis-19695	84	26	the	the	DET
fcis-19695	84	27	decision	decision	NOUN
fcis-19695	84	28	-	-	PUNCT
fcis-19695	84	29	making	make	VERB
fcis-19695	84	30	process	process	NOUN
fcis-19695	84	31	of	of	ADP
fcis-19695	84	32	the	the	DET
fcis-19695	84	33	model	model	NOUN
fcis-19695	84	34	.	.	PUNCT
fcis-19695	85	1	we	we	PRON
fcis-19695	85	2	should	should	AUX
fcis-19695	85	3	focus	focus	VERB
fcis-19695	85	4	on	on	ADP
fcis-19695	85	5	improving	improve	VERB
fcis-19695	85	6	the	the	DET
fcis-19695	85	7	interpretability	interpretability	NOUN
fcis-19695	85	8	and	and	CCONJ
fcis-19695	85	9	interpretability	interpretability	NOUN
fcis-19695	85	10	of	of	ADP
fcis-19695	85	11	the	the	DET
fcis-19695	85	12	deep	deep	ADJ
fcis-19695	85	13	learning	learning	NOUN
fcis-19695	85	14	model	model	NOUN
fcis-19695	85	15	,	,	PUNCT
fcis-19695	85	16	including	include	VERB
fcis-19695	85	17	designing	design	VERB
fcis-19695	85	18	explanatory	explanatory	ADJ
fcis-19695	85	19	methods	method	NOUN
fcis-19695	85	20	and	and	CCONJ
fcis-19695	85	21	visualization	visualization	NOUN
fcis-19695	85	22	techniques	technique	NOUN
fcis-19695	85	23	suitable	suitable	ADJ
fcis-19695	85	24	for	for	ADP
fcis-19695	85	25	medical	medical	ADJ
fcis-19695	85	26	images	image	NOUN
fcis-19695	85	27	,	,	PUNCT
fcis-19695	85	28	so	so	SCONJ
fcis-19695	85	29	as	as	SCONJ
fcis-19695	85	30	to	to	PART
fcis-19695	85	31	enhance	enhance	VERB
fcis-19695	85	32	doctors	doctor	NOUN
fcis-19695	85	33	'	'	PART
fcis-19695	85	34	trust	trust	NOUN
fcis-19695	85	35	and	and	CCONJ
fcis-19695	85	36	understanding	understanding	NOUN
fcis-19695	85	37	of	of	ADP
fcis-19695	85	38	model	model	NOUN
fcis-19695	85	39	decision	decision	NOUN
fcis-19695	85	40	-	-	PUNCT
fcis-19695	85	41	making	making	NOUN
fcis-19695	85	42	.	.	PUNCT
fcis-19695	86	1	medical	medical	ADJ
fcis-19695	86	2	image	image	NOUN
fcis-19695	86	3	data	datum	NOUN
fcis-19695	86	4	often	often	ADV
fcis-19695	86	5	have	have	VERB
fcis-19695	86	6	many	many	ADJ
fcis-19695	86	7	different	different	ADJ
fcis-19695	86	8	modalities	modality	NOUN
fcis-19695	86	9	,	,	PUNCT
fcis-19695	86	10	such	such	ADJ
fcis-19695	86	11	as	as	ADP
fcis-19695	86	12	ct	ct	PROPN
fcis-19695	86	13	,	,	PUNCT
fcis-19695	86	14	mri	mri	NOUN
fcis-19695	86	15	,	,	PUNCT
fcis-19695	86	16	etc	etc	X
fcis-19695	86	17	.	.	X
fcis-19695	87	1	how	how	SCONJ
fcis-19695	87	2	to	to	PART
fcis-19695	87	3	effectively	effectively	ADV
fcis-19695	87	4	integrate	integrate	VERB
fcis-19695	87	5	multimodal	multimodal	ADJ
fcis-19695	87	6	data	datum	NOUN
fcis-19695	87	7	for	for	ADP
fcis-19695	87	8	comprehensive	comprehensive	ADJ
fcis-19695	87	9	analysis	analysis	NOUN
fcis-19695	87	10	is	be	AUX
fcis-19695	87	11	a	a	DET
fcis-19695	87	12	challenge	challenge	NOUN
fcis-19695	87	13	.	.	PUNCT
fcis-19695	88	1	it	it	PRON
fcis-19695	88	2	is	be	AUX
fcis-19695	88	3	necessary	necessary	ADJ
fcis-19695	88	4	to	to	PART
fcis-19695	88	5	study	study	VERB
fcis-19695	88	6	the	the	DET
fcis-19695	88	7	joint	joint	ADJ
fcis-19695	88	8	processing	processing	NOUN
fcis-19695	88	9	methods	method	NOUN
fcis-19695	88	10	of	of	ADP
fcis-19695	88	11	multimodal	multimodal	ADJ
fcis-19695	88	12	medical	medical	ADJ
fcis-19695	88	13	images	image	NOUN
fcis-19695	88	14	,	,	PUNCT
fcis-19695	88	15	such	such	ADJ
fcis-19695	88	16	as	as	ADP
fcis-19695	88	17	cross	cross	ADJ
fcis-19695	88	18	-	-	ADJ
fcis-19695	88	19	modal	modal	ADJ
fcis-19695	88	20	feature	feature	NOUN
fcis-19695	88	21	fusion	fusion	NOUN
fcis-19695	88	22	and	and	CCONJ
fcis-19695	88	23	cross	cross	ADJ
fcis-19695	88	24	-	-	ADJ
fcis-19695	88	25	modal	modal	ADJ
fcis-19695	88	26	data	datum	NOUN
fcis-19695	88	27	enhancement	enhancement	NOUN
fcis-19695	88	28	,	,	PUNCT
fcis-19695	88	29	in	in	ADP
fcis-19695	88	30	order	order	NOUN
fcis-19695	88	31	to	to	PART
fcis-19695	88	32	improve	improve	VERB
fcis-19695	88	33	the	the	DET
fcis-19695	88	34	comprehensive	comprehensive	ADJ
fcis-19695	88	35	utilization	utilization	NOUN
fcis-19695	88	36	efficiency	efficiency	NOUN
fcis-19695	88	37	of	of	ADP
fcis-19695	88	38	medical	medical	ADJ
fcis-19695	88	39	image	image	NOUN
fcis-19695	88	40	data	datum	NOUN
fcis-19695	88	41	.	.	PUNCT
fcis-19695	89	1	at	at	ADP
fcis-19695	89	2	present	present	ADJ
fcis-19695	89	3	,	,	PUNCT
fcis-19695	89	4	most	most	ADJ
fcis-19695	89	5	medical	medical	ADJ
fcis-19695	89	6	image	image	NOUN
fcis-19695	89	7	processing	processing	NOUN
fcis-19695	89	8	methods	method	NOUN
fcis-19695	89	9	rely	rely	VERB
fcis-19695	89	10	on	on	ADP
fcis-19695	89	11	manually	manually	ADV
fcis-19695	89	12	designed	design	VERB
fcis-19695	89	13	rules	rule	NOUN
fcis-19695	89	14	and	and	CCONJ
fcis-19695	89	15	parameters	parameter	NOUN
fcis-19695	89	16	,	,	PUNCT
fcis-19695	89	17	and	and	CCONJ
fcis-19695	89	18	lack	lack	VERB
fcis-19695	89	19	the	the	DET
fcis-19695	89	20	ability	ability	NOUN
fcis-19695	89	21	to	to	PART
fcis-19695	89	22	adapt	adapt	VERB
fcis-19695	89	23	to	to	ADP
fcis-19695	89	24	different	different	ADJ
fcis-19695	89	25	scenes[25	scenes[25	NOUN
fcis-19695	89	26	]	]	PUNCT
fcis-19695	89	27	.	.	PUNCT
fcis-19695	90	1	in	in	ADP
fcis-19695	90	2	the	the	DET
fcis-19695	90	3	future	future	NOUN
fcis-19695	90	4	,	,	PUNCT
fcis-19695	90	5	we	we	PRON
fcis-19695	90	6	can	can	AUX
fcis-19695	90	7	explore	explore	VERB
fcis-19695	90	8	adaptive	adaptive	ADJ
fcis-19695	90	9	medical	medical	ADJ
fcis-19695	90	10	image	image	NOUN
fcis-19695	90	11	processing	processing	NOUN
fcis-19695	90	12	methods	method	NOUN
fcis-19695	90	13	based	base	VERB
fcis-19695	90	14	on	on	ADP
fcis-19695	90	15	reinforcement	reinforcement	NOUN
fcis-19695	90	16	learning	learning	NOUN
fcis-19695	90	17	,	,	PUNCT
fcis-19695	90	18	and	and	CCONJ
fcis-19695	90	19	realize	realize	VERB
fcis-19695	90	20	adaptive	adaptive	ADJ
fcis-19695	90	21	reconstruction	reconstruction	NOUN
fcis-19695	90	22	and	and	CCONJ
fcis-19695	90	23	enhancement	enhancement	NOUN
fcis-19695	90	24	of	of	ADP
fcis-19695	90	25	different	different	ADJ
fcis-19695	90	26	medical	medical	ADJ
fcis-19695	90	27	image	image	NOUN
fcis-19695	90	28	scenes	scene	NOUN
fcis-19695	90	29	through	through	ADP
fcis-19695	90	30	autonomous	autonomous	ADJ
fcis-19695	90	31	learning	learning	NOUN
fcis-19695	90	32	and	and	CCONJ
fcis-19695	90	33	adjustment	adjustment	NOUN
fcis-19695	90	34	of	of	ADP
fcis-19695	90	35	models	model	NOUN
fcis-19695	90	36	,	,	PUNCT
fcis-19695	90	37	thus	thus	ADV
fcis-19695	90	38	improving	improve	VERB
fcis-19695	90	39	processing	processing	NOUN
fcis-19695	90	40	efficiency	efficiency	NOUN
fcis-19695	90	41	and	and	CCONJ
fcis-19695	90	42	performance	performance	NOUN
fcis-19695	90	43	.	.	PUNCT
fcis-19695	91	1	to	to	PART
fcis-19695	91	2	sum	sum	VERB
fcis-19695	91	3	up	up	ADP
fcis-19695	91	4	,	,	PUNCT
fcis-19695	91	5	solving	solve	VERB
fcis-19695	91	6	data	datum	NOUN
fcis-19695	91	7	privacy	privacy	NOUN
fcis-19695	91	8	and	and	CCONJ
fcis-19695	91	9	security	security	NOUN
fcis-19695	91	10	,	,	PUNCT
fcis-19695	91	11	improving	improve	VERB
fcis-19695	91	12	model	model	NOUN
fcis-19695	91	13	interpretation	interpretation	NOUN
fcis-19695	91	14	,	,	PUNCT
fcis-19695	91	15	studying	study	VERB
fcis-19695	91	16	multimodal	multimodal	ADJ
fcis-19695	91	17	data	datum	NOUN
fcis-19695	91	18	fusion	fusion	NOUN
fcis-19695	91	19	methods	method	NOUN
fcis-19695	91	20	and	and	CCONJ
fcis-19695	91	21	exploring	explore	VERB
fcis-19695	91	22	adaptive	adaptive	ADJ
fcis-19695	91	23	methods	method	NOUN
fcis-19695	91	24	based	base	VERB
fcis-19695	91	25	on	on	ADP
fcis-19695	91	26	reinforcement	reinforcement	NOUN
fcis-19695	91	27	learning	learning	NOUN
fcis-19695	91	28	are	be	AUX
fcis-19695	91	29	the	the	DET
fcis-19695	91	30	main	main	ADJ
fcis-19695	91	31	problems	problem	NOUN
fcis-19695	91	32	facing	face	VERB
fcis-19695	91	33	the	the	DET
fcis-19695	91	34	medical	medical	ADJ
fcis-19695	91	35	image	image	NOUN
fcis-19695	91	36	processing	processing	NOUN
fcis-19695	91	37	field	field	NOUN
fcis-19695	91	38	at	at	ADP
fcis-19695	91	39	present	present	ADJ
fcis-19695	91	40	and	and	CCONJ
fcis-19695	91	41	the	the	DET
fcis-19695	91	42	important	important	ADJ
fcis-19695	91	43	direction	direction	NOUN
fcis-19695	91	44	of	of	ADP
fcis-19695	91	45	future	future	ADJ
fcis-19695	91	46	development	development	NOUN
fcis-19695	91	47	.	.	PUNCT
fcis-19695	92	1	through	through	ADP
fcis-19695	92	2	continuous	continuous	ADJ
fcis-19695	92	3	research	research	NOUN
fcis-19695	92	4	and	and	CCONJ
fcis-19695	92	5	innovation	innovation	NOUN
fcis-19695	92	6	,	,	PUNCT
fcis-19695	92	7	the	the	DET
fcis-19695	92	8	development	development	NOUN
fcis-19695	92	9	and	and	CCONJ
fcis-19695	92	10	application	application	NOUN
fcis-19695	92	11	of	of	ADP
fcis-19695	92	12	medical	medical	ADJ
fcis-19695	92	13	image	image	NOUN
fcis-19695	92	14	processing	processing	NOUN
fcis-19695	92	15	technology	technology	NOUN
fcis-19695	92	16	can	can	AUX
fcis-19695	92	17	be	be	AUX
fcis-19695	92	18	further	far	ADV
fcis-19695	92	19	promoted	promote	VERB
fcis-19695	92	20	.	.	PUNCT
fcis-19695	93	1	4	4	X
fcis-19695	93	2	.	.	X
fcis-19695	93	3	conclusion	conclusion	NOUN
fcis-19695	93	4	the	the	DET
fcis-19695	93	5	deep	deep	ADJ
fcis-19695	93	6	learning	learning	NOUN
fcis-19695	93	7	model	model	NOUN
fcis-19695	93	8	has	have	AUX
fcis-19695	93	9	made	make	VERB
fcis-19695	93	10	remarkable	remarkable	ADJ
fcis-19695	93	11	achievements	achievement	NOUN
fcis-19695	93	12	in	in	ADP
fcis-19695	93	13	the	the	DET
fcis-19695	93	14	field	field	NOUN
fcis-19695	93	15	of	of	ADP
fcis-19695	93	16	medical	medical	ADJ
fcis-19695	93	17	image	image	NOUN
fcis-19695	93	18	reconstruction	reconstruction	NOUN
fcis-19695	93	19	and	and	CCONJ
fcis-19695	93	20	enhancement	enhancement	NOUN
fcis-19695	93	21	.	.	PUNCT
fcis-19695	94	1	through	through	ADP
fcis-19695	94	2	deep	deep	ADJ
fcis-19695	94	3	learning	learning	NOUN
fcis-19695	94	4	models	model	NOUN
fcis-19695	94	5	such	such	ADJ
fcis-19695	94	6	as	as	ADP
fcis-19695	94	7	cnn	cnn	PROPN
fcis-19695	94	8	,	,	PUNCT
fcis-19695	94	9	gan	gan	PROPN
fcis-19695	94	10	and	and	CCONJ
fcis-19695	94	11	autoencoder	autoencoder	NOUN
fcis-19695	94	12	,	,	PUNCT
fcis-19695	94	13	high	high	ADJ
fcis-19695	94	14	-	-	PUNCT
fcis-19695	94	15	quality	quality	NOUN
fcis-19695	94	16	reconstruction	reconstruction	NOUN
fcis-19695	94	17	and	and	CCONJ
fcis-19695	94	18	enhancement	enhancement	NOUN
fcis-19695	94	19	of	of	ADP
fcis-19695	94	20	medical	medical	ADJ
fcis-19695	94	21	image	image	NOUN
fcis-19695	94	22	data	datum	NOUN
fcis-19695	94	23	can	can	AUX
fcis-19695	94	24	be	be	AUX
fcis-19695	94	25	achieved	achieve	VERB
fcis-19695	94	26	,	,	PUNCT
fcis-19695	94	27	and	and	CCONJ
fcis-19695	94	28	the	the	DET
fcis-19695	94	29	performance	performance	NOUN
fcis-19695	94	30	of	of	ADP
fcis-19695	94	31	image	image	NOUN
fcis-19695	94	32	quality	quality	NOUN
fcis-19695	94	33	,	,	PUNCT
fcis-19695	94	34	noise	noise	NOUN
fcis-19695	94	35	removal	removal	NOUN
fcis-19695	94	36	and	and	CCONJ
fcis-19695	94	37	image	image	NOUN
fcis-19695	94	38	details	detail	NOUN
fcis-19695	94	39	recovery	recovery	NOUN
fcis-19695	94	40	can	can	AUX
fcis-19695	94	41	be	be	AUX
fcis-19695	94	42	effectively	effectively	ADV
fcis-19695	94	43	improved	improve	VERB
fcis-19695	94	44	.	.	PUNCT
fcis-19695	95	1	compared	compare	VERB
fcis-19695	95	2	with	with	ADP
fcis-19695	95	3	traditional	traditional	ADJ
fcis-19695	95	4	methods	method	NOUN
fcis-19695	95	5	,	,	PUNCT
fcis-19695	95	6	deep	deep	ADJ
fcis-19695	95	7	learning	learning	NOUN
fcis-19695	95	8	model	model	NOUN
fcis-19695	95	9	has	have	VERB
fcis-19695	95	10	higher	high	ADJ
fcis-19695	95	11	accuracy	accuracy	NOUN
fcis-19695	95	12	and	and	CCONJ
fcis-19695	95	13	effect	effect	NOUN
fcis-19695	95	14	.	.	PUNCT
fcis-19695	96	1	compared	compare	VERB
fcis-19695	96	2	with	with	ADP
fcis-19695	96	3	the	the	DET
fcis-19695	96	4	traditional	traditional	ADJ
fcis-19695	96	5	methods	method	NOUN
fcis-19695	96	6	based	base	VERB
fcis-19695	96	7	on	on	ADP
fcis-19695	96	8	mathematical	mathematical	ADJ
fcis-19695	96	9	model	model	NOUN
fcis-19695	96	10	and	and	CCONJ
fcis-19695	96	11	signal	signal	NOUN
fcis-19695	96	12	processing	processing	NOUN
fcis-19695	96	13	technology	technology	NOUN
fcis-19695	96	14	,	,	PUNCT
fcis-19695	96	15	the	the	DET
fcis-19695	96	16	deep	deep	ADJ
fcis-19695	96	17	learning	learning	NOUN
fcis-19695	96	18	model	model	NOUN
fcis-19695	96	19	can	can	AUX
fcis-19695	96	20	better	well	ADV
fcis-19695	96	21	process	process	VERB
fcis-19695	96	22	different	different	ADJ
fcis-19695	96	23	types	type	NOUN
fcis-19695	96	24	of	of	ADP
fcis-19695	96	25	medical	medical	ADJ
fcis-19695	96	26	image	image	NOUN
fcis-19695	96	27	data	datum	NOUN
fcis-19695	96	28	with	with	ADP
fcis-19695	96	29	different	different	ADJ
fcis-19695	96	30	quality	quality	NOUN
fcis-19695	96	31	,	,	PUNCT
fcis-19695	96	32	and	and	CCONJ
fcis-19695	96	33	has	have	VERB
fcis-19695	96	34	higher	high	ADJ
fcis-19695	96	35	adaptability	adaptability	NOUN
fcis-19695	96	36	and	and	CCONJ
fcis-19695	96	37	generalization	generalization	NOUN
fcis-19695	96	38	ability	ability	NOUN
fcis-19695	96	39	.	.	PUNCT
fcis-19695	97	1	deep	deep	ADJ
fcis-19695	97	2	learning	learning	NOUN
fcis-19695	97	3	model	model	NOUN
fcis-19695	97	4	still	still	ADV
fcis-19695	97	5	has	have	VERB
fcis-19695	97	6	some	some	DET
fcis-19695	97	7	challenges	challenge	NOUN
fcis-19695	97	8	and	and	CCONJ
fcis-19695	97	9	problems	problem	NOUN
fcis-19695	97	10	in	in	ADP
fcis-19695	97	11	medical	medical	ADJ
fcis-19695	97	12	image	image	NOUN
fcis-19695	97	13	reconstruction	reconstruction	NOUN
fcis-19695	97	14	and	and	CCONJ
fcis-19695	97	15	enhancement	enhancement	NOUN
fcis-19695	97	16	,	,	PUNCT
fcis-19695	97	17	such	such	ADJ
fcis-19695	97	18	as	as	ADP
fcis-19695	97	19	data	data	NOUN
fcis-19695	97	20	privacy	privacy	NOUN
fcis-19695	97	21	and	and	CCONJ
fcis-19695	97	22	security	security	NOUN
fcis-19695	97	23	,	,	PUNCT
fcis-19695	97	24	model	model	NOUN
fcis-19695	97	25	interpretation	interpretation	NOUN
fcis-19695	97	26	and	and	CCONJ
fcis-19695	97	27	interpretability	interpretability	NOUN
fcis-19695	97	28	,	,	PUNCT
fcis-19695	97	29	multimodal	multimodal	ADJ
fcis-19695	97	30	data	datum	NOUN
fcis-19695	97	31	fusion	fusion	NOUN
fcis-19695	97	32	processing	processing	NOUN
fcis-19695	97	33	and	and	CCONJ
fcis-19695	97	34	so	so	ADV
fcis-19695	97	35	on	on	ADV
fcis-19695	97	36	.	.	PUNCT
fcis-19695	98	1	the	the	DET
fcis-19695	98	2	future	future	ADJ
fcis-19695	98	3	research	research	NOUN
fcis-19695	98	4	direction	direction	NOUN
fcis-19695	98	5	should	should	AUX
fcis-19695	98	6	focus	focus	VERB
fcis-19695	98	7	on	on	ADP
fcis-19695	98	8	solving	solve	VERB
fcis-19695	98	9	these	these	DET
fcis-19695	98	10	problems	problem	NOUN
fcis-19695	98	11	and	and	CCONJ
fcis-19695	98	12	promote	promote	VERB
fcis-19695	98	13	the	the	DET
fcis-19695	98	14	further	further	ADJ
fcis-19695	98	15	development	development	NOUN
fcis-19695	98	16	and	and	CCONJ
fcis-19695	98	17	application	application	NOUN
fcis-19695	98	18	of	of	ADP
fcis-19695	98	19	deep	deep	ADJ
fcis-19695	98	20	learning	learning	NOUN
fcis-19695	98	21	technology	technology	NOUN
fcis-19695	98	22	in	in	ADP
fcis-19695	98	23	the	the	DET
fcis-19695	98	24	field	field	NOUN
fcis-19695	98	25	of	of	ADP
fcis-19695	98	26	medical	medical	ADJ
fcis-19695	98	27	image	image	NOUN
fcis-19695	98	28	processing	processing	NOUN
fcis-19695	98	29	.	.	PUNCT
fcis-19695	99	1	this	this	DET
fcis-19695	99	2	study	study	NOUN
fcis-19695	99	3	provides	provide	VERB
fcis-19695	99	4	some	some	DET
fcis-19695	99	5	enlightenment	enlightenment	NOUN
fcis-19695	99	6	and	and	CCONJ
fcis-19695	99	7	reference	reference	NOUN
fcis-19695	99	8	for	for	ADP
fcis-19695	99	9	researchers	researcher	NOUN
fcis-19695	99	10	and	and	CCONJ
fcis-19695	99	11	practitioners	practitioner	NOUN
fcis-19695	99	12	in	in	ADP
fcis-19695	99	13	the	the	DET
fcis-19695	99	14	field	field	NOUN
fcis-19695	99	15	of	of	ADP
fcis-19695	99	16	medical	medical	ADJ
fcis-19695	99	17	image	image	NOUN
fcis-19695	99	18	processing	processing	NOUN
fcis-19695	99	19	,	,	PUNCT
fcis-19695	99	20	which	which	PRON
fcis-19695	99	21	is	be	AUX
fcis-19695	99	22	helpful	helpful	ADJ
fcis-19695	99	23	to	to	PART
fcis-19695	99	24	promote	promote	VERB
fcis-19695	99	25	the	the	DET
fcis-19695	99	26	continuous	continuous	ADJ
fcis-19695	99	27	innovation	innovation	NOUN
fcis-19695	99	28	and	and	CCONJ
fcis-19695	99	29	progress	progress	NOUN
fcis-19695	99	30	of	of	ADP
fcis-19695	99	31	medical	medical	ADJ
fcis-19695	99	32	image	image	NOUN
fcis-19695	99	33	processing	processing	NOUN
fcis-19695	99	34	technology	technology	NOUN
fcis-19695	99	35	.	.	PUNCT
fcis-19695	100	1	future	future	ADJ
fcis-19695	100	2	work	work	NOUN
fcis-19695	100	3	should	should	AUX
fcis-19695	100	4	focus	focus	VERB
fcis-19695	100	5	on	on	ADP
fcis-19695	100	6	the	the	DET
fcis-19695	100	7	optimization	optimization	NOUN
fcis-19695	100	8	and	and	CCONJ
fcis-19695	100	9	improvement	improvement	NOUN
fcis-19695	100	10	of	of	ADP
fcis-19695	100	11	the	the	DET
fcis-19695	100	12	deep	deep	ADJ
fcis-19695	100	13	learning	learning	NOUN
fcis-19695	100	14	model	model	NOUN
fcis-19695	100	15	to	to	PART
fcis-19695	100	16	improve	improve	VERB
fcis-19695	100	17	the	the	DET
fcis-19695	100	18	performance	performance	NOUN
fcis-19695	100	19	and	and	CCONJ
fcis-19695	100	20	efficiency	efficiency	NOUN
fcis-19695	100	21	of	of	ADP
fcis-19695	100	22	the	the	DET
fcis-19695	100	23	model	model	NOUN
fcis-19695	100	24	to	to	PART
fcis-19695	100	25	meet	meet	VERB
fcis-19695	100	26	the	the	DET
fcis-19695	100	27	actual	actual	ADJ
fcis-19695	100	28	needs	need	NOUN
fcis-19695	100	29	in	in	ADP
fcis-19695	100	30	the	the	DET
fcis-19695	100	31	field	field	NOUN
fcis-19695	100	32	of	of	ADP
fcis-19695	100	33	medical	medical	ADJ
fcis-19695	100	34	image	image	NOUN
fcis-19695	100	35	processing	processing	NOUN
fcis-19695	100	36	.	.	PUNCT
fcis-19695	101	1	references	reference	NOUN
fcis-19695	101	2	[	[	X
fcis-19695	101	3	1	1	NUM
fcis-19695	101	4	]	]	X
fcis-19695	101	5	sun	sun	NOUN
fcis-19695	101	6	,	,	PUNCT
fcis-19695	101	7	t.	t.	PROPN
fcis-19695	101	8	,	,	PUNCT
fcis-19695	101	9	wang	wang	PROPN
fcis-19695	101	10	,	,	PUNCT
fcis-19695	101	11	x.	x.	PROPN
fcis-19695	101	12	,	,	PUNCT
fcis-19695	101	13	lin	lin	PROPN
fcis-19695	101	14	,	,	PUNCT
fcis-19695	101	15	d.	d.	PROPN
fcis-19695	101	16	,	,	PUNCT
fcis-19695	101	17	bao	bao	PROPN
fcis-19695	101	18	,	,	PUNCT
fcis-19695	101	19	r.	r.	PROPN
fcis-19695	101	20	,	,	PUNCT
fcis-19695	101	21	jiang	jiang	PROPN
fcis-19695	101	22	,	,	PUNCT
fcis-19695	101	23	d.	d.	PROPN
fcis-19695	101	24	,	,	PUNCT
fcis-19695	101	25	&	&	CCONJ
fcis-19695	101	26	ding	ding	PROPN
fcis-19695	101	27	,	,	PUNCT
fcis-19695	101	28	b.	b.	PROPN
fcis-19695	101	29	,	,	PUNCT
fcis-19695	101	30	et	et	PROPN
fcis-19695	101	31	al	al	PROPN
fcis-19695	101	32	.	.	PROPN
fcis-19695	101	33	(	(	PUNCT
fcis-19695	101	34	2021	2021	NUM
fcis-19695	101	35	)	)	PUNCT
fcis-19695	101	36	.	.	PUNCT
fcis-19695	102	1	medical	medical	ADJ
fcis-19695	102	2	image	image	NOUN
fcis-19695	102	3	security	security	NOUN
fcis-19695	102	4	authentication	authentication	NOUN
fcis-19695	102	5	method	method	NOUN
fcis-19695	102	6	based	base	VERB
fcis-19695	102	7	on	on	ADP
fcis-19695	102	8	wavelet	wavelet	NOUN
fcis-19695	102	9	reconstruction	reconstruction	NOUN
fcis-19695	102	10	and	and	CCONJ
fcis-19695	102	11	fractal	fractal	ADJ
fcis-19695	102	12	dimension	dimension	NOUN
fcis-19695	102	13	:	:	PUNCT
fcis-19695	102	14	.	.	PUNCT
fcis-19695	103	1	international	international	ADJ
fcis-19695	103	2	journal	journal	PROPN
fcis-19695	103	3	of	of	ADP
fcis-19695	103	4	distributed	distribute	VERB
fcis-19695	103	5	sensor	sensor	NOUN
fcis-19695	103	6	networks	network	NOUN
fcis-19695	103	7	,	,	PUNCT
fcis-19695	103	8	17(4	17(4	NUM
fcis-19695	103	9	)	)	PUNCT
fcis-19695	103	10	,	,	PUNCT
fcis-19695	103	11	133	133	NUM
fcis-19695	103	12	.	.	PUNCT
fcis-19695	104	1	[	[	X
fcis-19695	104	2	2	2	NUM
fcis-19695	104	3	]	]	X
fcis-19695	104	4	wang	wang	PROPN
fcis-19695	104	5	,	,	PUNCT
fcis-19695	104	6	y.	y.	PROPN
fcis-19695	104	7	,	,	PUNCT
fcis-19695	104	8	ge	ge	PROPN
fcis-19695	104	9	,	,	PUNCT
fcis-19695	104	10	x.	x.	PROPN
fcis-19695	104	11	,	,	PUNCT
fcis-19695	104	12	ma	ma	PROPN
fcis-19695	104	13	,	,	PUNCT
fcis-19695	104	14	h.	h.	PROPN
fcis-19695	104	15	,	,	PUNCT
fcis-19695	104	16	qi	qi	PROPN
fcis-19695	104	17	,	,	PUNCT
fcis-19695	104	18	s.	s.	PROPN
fcis-19695	104	19	,	,	PUNCT
fcis-19695	104	20	&	&	CCONJ
fcis-19695	104	21	yao	yao	PROPN
fcis-19695	104	22	,	,	PUNCT
fcis-19695	104	23	y.	y.	NOUN
fcis-19695	104	24	(	(	PUNCT
fcis-19695	104	25	2021	2021	NUM
fcis-19695	104	26	)	)	PUNCT
fcis-19695	104	27	.	.	PUNCT
fcis-19695	105	1	deep	deep	ADJ
fcis-19695	105	2	learning	learning	NOUN
fcis-19695	105	3	in	in	ADP
fcis-19695	105	4	medical	medical	ADJ
fcis-19695	105	5	ultrasound	ultrasound	NOUN
fcis-19695	105	6	image	image	NOUN
fcis-19695	105	7	analysis	analysis	NOUN
fcis-19695	105	8	:	:	PUNCT
fcis-19695	105	9	a	a	DET
fcis-19695	105	10	review	review	NOUN
fcis-19695	105	11	.	.	PUNCT
fcis-19695	106	1	ieee	ieee	NOUN
fcis-19695	106	2	access	access	NOUN
fcis-19695	106	3	,	,	PUNCT
fcis-19695	106	4	2021(99	2021(99	NUM
fcis-19695	106	5	)	)	PUNCT
fcis-19695	106	6	,	,	PUNCT
fcis-19695	106	7	1	1	NUM
fcis-19695	106	8	-	-	SYM
fcis-19695	106	9	1	1	NUM
fcis-19695	106	10	.	.	PUNCT
fcis-19695	107	1	[	[	X
fcis-19695	107	2	3	3	NUM
fcis-19695	107	3	]	]	X
fcis-19695	107	4	wang	wang	PROPN
fcis-19695	107	5	,	,	PUNCT
fcis-19695	107	6	g.	g.	PROPN
fcis-19695	107	7	(	(	PUNCT
fcis-19695	107	8	2019	2019	NUM
fcis-19695	107	9	)	)	PUNCT
fcis-19695	107	10	.	.	PUNCT
fcis-19695	108	1	high	high	ADJ
fcis-19695	108	2	temporal	temporal	ADJ
fcis-19695	108	3	-	-	PUNCT
fcis-19695	108	4	resolution	resolution	NOUN
fcis-19695	108	5	dynamic	dynamic	ADJ
fcis-19695	108	6	pet	pet	ADJ
fcis-19695	108	7	image	image	NOUN
fcis-19695	108	8	reconstruction	reconstruction	NOUN
fcis-19695	108	9	using	use	VERB
fcis-19695	108	10	a	a	DET
fcis-19695	108	11	new	new	ADJ
fcis-19695	108	12	spatiotemporal	spatiotemporal	ADJ
fcis-19695	108	13	kernel	kernel	NOUN
fcis-19695	108	14	method	method	NOUN
fcis-19695	108	15	.	.	PUNCT
fcis-19695	109	1	ieee	ieee	NOUN
fcis-19695	109	2	transactions	transaction	NOUN
fcis-19695	109	3	on	on	ADP
fcis-19695	109	4	medical	medical	ADJ
fcis-19695	109	5	imaging	imaging	NOUN
fcis-19695	109	6	,	,	PUNCT
fcis-19695	109	7	38(3	38(3	NUM
fcis-19695	109	8	)	)	PUNCT
fcis-19695	109	9	,	,	PUNCT
fcis-19695	109	10	664	664	NUM
fcis-19695	109	11	-	-	SYM
fcis-19695	109	12	674	674	NUM
fcis-19695	109	13	.	.	PUNCT
fcis-19695	110	1	[	[	X
fcis-19695	110	2	4	4	X
fcis-19695	110	3	]	]	PUNCT
fcis-19695	110	4	weimin	weimin	PROPN
fcis-19695	110	5	wang	wang	PROPN
fcis-19695	110	6	,	,	PUNCT
fcis-19695	110	7	yufeng	yufeng	PROPN
fcis-19695	110	8	li	li	PROPN
fcis-19695	110	9	,	,	PUNCT
fcis-19695	110	10	xu	xu	PROPN
fcis-19695	110	11	yan	yan	PROPN
fcis-19695	110	12	,	,	PUNCT
fcis-19695	110	13	mingxuan	mingxuan	PROPN
fcis-19695	110	14	xiao	xiao	PROPN
fcis-19695	110	15	,	,	PUNCT
fcis-19695	110	16	&	&	CCONJ
fcis-19695	110	17	min	min	PROPN
fcis-19695	110	18	gao	gao	PROPN
fcis-19695	110	19	.	.	PUNCT
fcis-19695	111	1	(	(	PUNCT
fcis-19695	111	2	2024	2024	NUM
fcis-19695	111	3	)	)	PUNCT
fcis-19695	111	4	.	.	PUNCT
fcis-19695	112	1	enhancing	enhance	VERB
fcis-19695	112	2	liver	liver	NOUN
fcis-19695	112	3	segmentation	segmentation	NOUN
fcis-19695	112	4	:	:	PUNCT
fcis-19695	112	5	a	a	DET
fcis-19695	112	6	deep	deep	ADJ
fcis-19695	112	7	learning	learning	NOUN
fcis-19695	112	8	approach	approach	NOUN
fcis-19695	112	9	with	with	ADP
fcis-19695	112	10	eas	ea	NOUN
fcis-19695	112	11	feature	feature	NOUN
fcis-19695	112	12	extraction	extraction	NOUN
fcis-19695	112	13	and	and	CCONJ
fcis-19695	112	14	multiscale	multiscale	ADJ
fcis-19695	112	15	fusion	fusion	NOUN
fcis-19695	112	16	.	.	PUNCT
fcis-19695	113	1	international	international	ADJ
fcis-19695	113	2	journal	journal	NOUN
fcis-19695	113	3	of	of	ADP
fcis-19695	113	4	innovative	innovative	ADJ
fcis-19695	113	5	research	research	NOUN
fcis-19695	113	6	in	in	ADP
fcis-19695	113	7	computer	computer	NOUN
fcis-19695	113	8	science	science	PROPN
fcis-19695	113	9	&	&	CCONJ
fcis-19695	113	10	technology	technology	PROPN
fcis-19695	113	11	,	,	PUNCT
fcis-19695	113	12	12(1	12(1	NUM
fcis-19695	113	13	)	)	PUNCT
fcis-19695	113	14	,	,	PUNCT
fcis-19695	113	15	26–34	26–34	NUM
fcis-19695	113	16	.	.	PUNCT
fcis-19695	113	17	retrieved	retrieve	VERB
fcis-19695	113	18	from	from	ADP
fcis-19695	113	19	https://ijircst	https://ijircst	PROPN
fcis-19695	113	20	.	.	PUNCT
fcis-19695	113	21	irpublications	irpublication	NOUN
fcis-19695	113	22	.	.	PUNCT
fcis-19695	114	1	org	org	ADJ
fcis-19695	114	2	/	/	SYM
fcis-19695	114	3	index.php/	index.php/	VERB
fcis-19695	114	4	ijircst/	ijircst/	NUM
fcis-19695	114	5	article	article	NOUN
fcis-19695	114	6	/	/	SYM
fcis-19695	114	7	view/21	view/21	NOUN
fcis-19695	114	8	.	.	PUNCT
fcis-19695	115	1	[	[	X
fcis-19695	115	2	5	5	NUM
fcis-19695	115	3	]	]	X
fcis-19695	115	4	hunt	hunt	NOUN
fcis-19695	115	5	,	,	PUNCT
fcis-19695	115	6	d.	d.	PROPN
fcis-19695	115	7	,	,	PUNCT
fcis-19695	115	8	dighe	dighe	NOUN
fcis-19695	115	9	,	,	PUNCT
fcis-19695	115	10	m.	m.	NOUN
fcis-19695	115	11	,	,	PUNCT
fcis-19695	115	12	gatenby	gatenby	PROPN
fcis-19695	115	13	,	,	PUNCT
fcis-19695	115	14	c.	c.	PROPN
fcis-19695	115	15	,	,	PUNCT
fcis-19695	115	16	&	&	CCONJ
fcis-19695	115	17	studholme	studholme	PROPN
fcis-19695	115	18	,	,	PUNCT
fcis-19695	115	19	c.	c.	NOUN
fcis-19695	115	20	(	(	PUNCT
fcis-19695	115	21	2019	2019	NUM
fcis-19695	115	22	)	)	PUNCT
fcis-19695	115	23	.	.	PUNCT
fcis-19695	116	1	automatic	automatic	ADJ
fcis-19695	116	2	,	,	PUNCT
fcis-19695	116	3	age	age	NOUN
fcis-19695	116	4	consistent	consistent	ADJ
fcis-19695	116	5	reconstruction	reconstruction	NOUN
fcis-19695	116	6	of	of	ADP
fcis-19695	116	7	the	the	DET
fcis-19695	116	8	corpus	corpus	NOUN
fcis-19695	116	9	callosum	callosum	NOUN
fcis-19695	116	10	guided	guide	VERB
fcis-19695	116	11	by	by	ADP
fcis-19695	116	12	coherency	coherency	NOUN
fcis-19695	116	13	from	from	ADP
fcis-19695	116	14	in	in	ADP
fcis-19695	116	15	utero	utero	ADJ
fcis-19695	116	16	diffusionweighted	diffusionweighte	VERB
fcis-19695	116	17	mri	mri	NOUN
fcis-19695	116	18	.	.	PUNCT
fcis-19695	117	1	ieee	ieee	NOUN
fcis-19695	117	2	transactions	transaction	NOUN
fcis-19695	117	3	on	on	ADP
fcis-19695	117	4	medical	medical	ADJ
fcis-19695	117	5	imaging	imaging	NOUN
fcis-19695	117	6	,	,	PUNCT
fcis-19695	117	7	2019	2019	NUM
fcis-19695	117	8	(	(	PUNCT
fcis-19695	117	9	99	99	NUM
fcis-19695	117	10	)	)	PUNCT
fcis-19695	117	11	,	,	PUNCT
fcis-19695	117	12	1	1	NUM
fcis-19695	117	13	-	-	SYM
fcis-19695	117	14	1	1	NUM
fcis-19695	117	15	.	.	PUNCT
fcis-19695	118	1	[	[	X
fcis-19695	118	2	6	6	NUM
fcis-19695	118	3	]	]	X
fcis-19695	118	4	chen	chen	PROPN
fcis-19695	118	5	,	,	PUNCT
fcis-19695	118	6	r.	r.	PROPN
fcis-19695	118	7	,	,	PUNCT
fcis-19695	118	8	huang	huang	PROPN
fcis-19695	118	9	,	,	PUNCT
fcis-19695	118	10	j.	j.	PROPN
fcis-19695	118	11	,	,	PUNCT
fcis-19695	118	12	li	li	PROPN
fcis-19695	118	13	,	,	PUNCT
fcis-19695	118	14	b.	b.	PROPN
fcis-19695	118	15	,	,	PUNCT
fcis-19695	118	16	wang	wang	PROPN
fcis-19695	118	17	,	,	PUNCT
fcis-19695	118	18	j.	j.	PROPN
fcis-19695	118	19	,	,	PUNCT
fcis-19695	118	20	&	&	CCONJ
fcis-19695	118	21	wang	wang	PROPN
fcis-19695	118	22	,	,	PUNCT
fcis-19695	118	23	h.	h.	PROPN
fcis-19695	118	24	(	(	PUNCT
fcis-19695	118	25	2020	2020	NUM
fcis-19695	118	26	)	)	PUNCT
fcis-19695	118	27	.	.	PUNCT
fcis-19695	119	1	technologies	technology	NOUN
fcis-19695	119	2	for	for	ADP
fcis-19695	119	3	magnetic	magnetic	ADJ
fcis-19695	119	4	induction	induction	NOUN
fcis-19695	119	5	tomography	tomography	NOUN
fcis-19695	119	6	sensors	sensor	NOUN
fcis-19695	119	7	and	and	CCONJ
fcis-19695	119	8	image	image	NOUN
fcis-19695	119	9	reconstruction	reconstruction	NOUN
fcis-19695	119	10	in	in	ADP
fcis-19695	119	11	medical	medical	ADJ
fcis-19695	119	12	assisted	assist	VERB
fcis-19695	119	13	diagnosis	diagnosis	NOUN
fcis-19695	119	14	:	:	PUNCT
fcis-19695	119	15	a	a	DET
fcis-19695	119	16	review	review	NOUN
fcis-19695	119	17	.	.	PUNCT
fcis-19695	120	1	review	review	NOUN
fcis-19695	120	2	of	of	ADP
fcis-19695	120	3	scientific	scientific	ADJ
fcis-19695	120	4	instruments	instrument	NOUN
fcis-19695	120	5	,	,	PUNCT
fcis-19695	120	6	2020(9	2020(9	NUM
fcis-19695	120	7	)	)	PUNCT
fcis-19695	120	8	,	,	PUNCT
fcis-19695	120	9	91	91	NUM
fcis-19695	120	10	.	.	PUNCT
fcis-19695	121	1	[	[	X
fcis-19695	121	2	7	7	NUM
fcis-19695	121	3	]	]	X
fcis-19695	121	4	liao	liao	PROPN
fcis-19695	121	5	,	,	PUNCT
fcis-19695	121	6	h.	h.	PROPN
fcis-19695	121	7	,	,	PUNCT
fcis-19695	121	8	lin	lin	PROPN
fcis-19695	121	9	,	,	PUNCT
fcis-19695	121	10	w.	w.	PROPN
fcis-19695	121	11	,	,	PUNCT
fcis-19695	121	12	zhou	zhou	PROPN
fcis-19695	121	13	,	,	PUNCT
fcis-19695	121	14	s.	s.	PROPN
fcis-19695	121	15	,	,	PUNCT
fcis-19695	121	16	&	&	CCONJ
fcis-19695	121	17	luo	luo	PROPN
fcis-19695	121	18	,	,	PUNCT
fcis-19695	121	19	j.	j.	PROPN
fcis-19695	121	20	(	(	PUNCT
fcis-19695	121	21	2020	2020	NUM
fcis-19695	121	22	)	)	PUNCT
fcis-19695	121	23	.	.	PUNCT
fcis-19695	122	1	adn	adn	PROPN
fcis-19695	122	2	:	:	PUNCT
fcis-19695	122	3	artifact	artifact	ADJ
fcis-19695	122	4	disentanglement	disentanglement	NOUN
fcis-19695	122	5	network	network	NOUN
fcis-19695	122	6	for	for	ADP
fcis-19695	122	7	unsupervised	unsupervised	ADJ
fcis-19695	122	8	metal	metal	NOUN
fcis-19695	122	9	artifact	artifact	NOUN
fcis-19695	122	10	76	76	NUM
fcis-19695	122	11	reduction	reduction	NOUN
fcis-19695	122	12	.	.	PUNCT
fcis-19695	123	1	ieee	ieee	NOUN
fcis-19695	123	2	transactions	transaction	NOUN
fcis-19695	123	3	on	on	ADP
fcis-19695	123	4	medical	medical	ADJ
fcis-19695	123	5	imaging	imaging	NOUN
fcis-19695	123	6	,	,	PUNCT
fcis-19695	123	7	39(3	39(3	NUM
fcis-19695	123	8	)	)	PUNCT
fcis-19695	123	9	,	,	PUNCT
fcis-19695	123	10	634643	634643	NUM
fcis-19695	123	11	.	.	PUNCT
fcis-19695	124	1	[	[	X
fcis-19695	124	2	8	8	NUM
fcis-19695	124	3	]	]	X
fcis-19695	124	4	ravi	ravi	NOUN
fcis-19695	124	5	,	,	PUNCT
fcis-19695	124	6	m.	m.	NOUN
fcis-19695	124	7	,	,	PUNCT
fcis-19695	124	8	sewa	sewa	PROPN
fcis-19695	124	9	,	,	PUNCT
fcis-19695	124	10	a.	a.	NOUN
fcis-19695	124	11	,	,	PUNCT
fcis-19695	124	12	shashidhar	shashidhar	PROPN
fcis-19695	124	13	,	,	PUNCT
fcis-19695	124	14	t.	t.	PROPN
fcis-19695	124	15	g.	g.	PROPN
fcis-19695	124	16	,	,	PUNCT
fcis-19695	124	17	&	&	CCONJ
fcis-19695	124	18	sanagapati	sanagapati	PROPN
fcis-19695	124	19	,	,	PUNCT
fcis-19695	124	20	s.	s.	PROPN
fcis-19695	124	21	s.	s.	PROPN
fcis-19695	124	22	s.	s.	PROPN
fcis-19695	124	23	(	(	PUNCT
fcis-19695	124	24	2019	2019	NUM
fcis-19695	124	25	)	)	PUNCT
fcis-19695	124	26	.	.	PUNCT
fcis-19695	125	1	fpga	fpga	PROPN
fcis-19695	125	2	as	as	ADP
fcis-19695	125	3	a	a	DET
fcis-19695	125	4	hardware	hardware	NOUN
fcis-19695	125	5	accelerator	accelerator	NOUN
fcis-19695	125	6	for	for	ADP
fcis-19695	125	7	computation	computation	NOUN
fcis-19695	125	8	intensive	intensive	ADJ
fcis-19695	125	9	maximum	maximum	ADJ
fcis-19695	125	10	likelihood	likelihood	NOUN
fcis-19695	125	11	expectation	expectation	NOUN
fcis-19695	125	12	maximization	maximization	VERB
fcis-19695	125	13	medical	medical	ADJ
fcis-19695	125	14	image	image	NOUN
fcis-19695	125	15	reconstruction	reconstruction	NOUN
fcis-19695	125	16	algorithm	algorithm	NOUN
fcis-19695	125	17	.	.	PUNCT
fcis-19695	126	1	ieee	ieee	NOUN
fcis-19695	126	2	access	access	NOUN
fcis-19695	126	3	,	,	PUNCT
fcis-19695	126	4	2019(99	2019(99	NUM
fcis-19695	126	5	)	)	PUNCT
fcis-19695	126	6	,	,	PUNCT
fcis-19695	126	7	1	1	NUM
fcis-19695	126	8	-	-	SYM
fcis-19695	126	9	1	1	NUM
fcis-19695	126	10	.	.	PUNCT
fcis-19695	127	1	[	[	X
fcis-19695	127	2	9	9	NUM
fcis-19695	127	3	]	]	SYM
fcis-19695	127	4	more	more	ADV
fcis-19695	127	5	,	,	PUNCT
fcis-19695	127	6	s.	s.	PROPN
fcis-19695	127	7	,	,	PUNCT
fcis-19695	127	8	singla	singla	PROPN
fcis-19695	127	9	,	,	PUNCT
fcis-19695	127	10	j.	j.	PROPN
fcis-19695	127	11	,	,	PUNCT
fcis-19695	127	12	verma	verma	PROPN
fcis-19695	127	13	,	,	PUNCT
fcis-19695	127	14	s.	s.	PROPN
fcis-19695	127	15	,	,	PUNCT
fcis-19695	127	16	kavita	kavita	PROPN
fcis-19695	127	17	,	,	PUNCT
fcis-19695	127	18	&	&	CCONJ
fcis-19695	127	19	ra	ra	PROPN
fcis-19695	127	20	,	,	PUNCT
fcis-19695	127	21	i.	i.	PROPN
fcis-19695	127	22	h.	h.	PROPN
fcis-19695	127	23	(	(	PUNCT
fcis-19695	127	24	2020	2020	NUM
fcis-19695	127	25	)	)	PUNCT
fcis-19695	127	26	.	.	PUNCT
fcis-19695	128	1	security	security	NOUN
fcis-19695	128	2	assured	assure	VERB
fcis-19695	128	3	cnn	cnn	PROPN
fcis-19695	128	4	-	-	PUNCT
fcis-19695	128	5	based	base	VERB
fcis-19695	128	6	model	model	NOUN
fcis-19695	128	7	for	for	ADP
fcis-19695	128	8	reconstruction	reconstruction	NOUN
fcis-19695	128	9	of	of	ADP
fcis-19695	128	10	medical	medical	ADJ
fcis-19695	128	11	images	image	NOUN
fcis-19695	128	12	on	on	ADP
fcis-19695	128	13	the	the	DET
fcis-19695	128	14	internet	internet	NOUN
fcis-19695	128	15	of	of	ADP
fcis-19695	128	16	healthcare	healthcare	NOUN
fcis-19695	128	17	things	thing	NOUN
fcis-19695	128	18	.	.	PUNCT
fcis-19695	129	1	ieee	ieee	NOUN
fcis-19695	129	2	access	access	NOUN
fcis-19695	129	3	,	,	PUNCT
fcis-19695	129	4	2020(99	2020(99	NUM
fcis-19695	129	5	)	)	PUNCT
fcis-19695	129	6	,	,	PUNCT
fcis-19695	129	7	1	1	NUM
fcis-19695	129	8	-	-	SYM
fcis-19695	129	9	1	1	NUM
fcis-19695	129	10	.	.	PUNCT
fcis-19695	130	1	[	[	X
fcis-19695	130	2	10	10	NUM
fcis-19695	130	3	]	]	X
fcis-19695	130	4	zhao	zhao	PROPN
fcis-19695	130	5	,	,	PUNCT
fcis-19695	130	6	c.	c.	PROPN
fcis-19695	130	7	,	,	PUNCT
fcis-19695	130	8	martin	martin	PROPN
fcis-19695	130	9	,	,	PUNCT
fcis-19695	130	10	t.	t.	PROPN
fcis-19695	130	11	,	,	PUNCT
fcis-19695	130	12	shao	shao	PROPN
fcis-19695	130	13	,	,	PUNCT
fcis-19695	130	14	x.	x.	NOUN
fcis-19695	130	15	,	,	PUNCT
fcis-19695	130	16	alger	alger	PROPN
fcis-19695	130	17	,	,	PUNCT
fcis-19695	130	18	j.	j.	PROPN
fcis-19695	130	19	r.	r.	PROPN
fcis-19695	130	20	,	,	PUNCT
fcis-19695	130	21	&	&	CCONJ
fcis-19695	130	22	wang	wang	PROPN
fcis-19695	130	23	,	,	PUNCT
fcis-19695	130	24	d.	d.	PROPN
fcis-19695	130	25	j.	j.	PROPN
fcis-19695	130	26	(	(	PUNCT
fcis-19695	130	27	2020	2020	NUM
fcis-19695	130	28	)	)	PUNCT
fcis-19695	130	29	.	.	PUNCT
fcis-19695	131	1	low	low	PROPN
fcis-19695	131	2	dose	dose	PROPN
fcis-19695	131	3	ct	ct	PROPN
fcis-19695	131	4	perfusion	perfusion	NOUN
fcis-19695	131	5	with	with	ADP
fcis-19695	131	6	k	k	ADJ
fcis-19695	131	7	-	-	PUNCT
fcis-19695	131	8	space	space	NOUN
fcis-19695	131	9	weighted	weight	VERB
fcis-19695	131	10	image	image	NOUN
fcis-19695	131	11	average	average	NOUN
fcis-19695	131	12	(	(	PUNCT
fcis-19695	131	13	kwia	kwia	PROPN
fcis-19695	131	14	)	)	PUNCT
fcis-19695	131	15	.	.	PUNCT
fcis-19695	132	1	ieee	ieee	NOUN
fcis-19695	132	2	transactions	transaction	NOUN
fcis-19695	132	3	on	on	ADP
fcis-19695	132	4	medical	medical	ADJ
fcis-19695	132	5	imaging	imaging	NOUN
fcis-19695	132	6	,	,	PUNCT
fcis-19695	132	7	2020(99	2020(99	NUM
fcis-19695	132	8	)	)	PUNCT
fcis-19695	132	9	,	,	PUNCT
fcis-19695	132	10	1	1	NUM
fcis-19695	132	11	-	-	SYM
fcis-19695	132	12	1	1	NUM
fcis-19695	132	13	.	.	PUNCT
fcis-19695	133	1	[	[	X
fcis-19695	133	2	11	11	NUM
fcis-19695	133	3	]	]	X
fcis-19695	133	4	xu	xu	PROPN
fcis-19695	133	5	,	,	PUNCT
fcis-19695	133	6	y.	y.	PROPN
fcis-19695	133	7	,	,	PUNCT
fcis-19695	133	8	zhang	zhang	PROPN
fcis-19695	133	9	,	,	PUNCT
fcis-19695	133	10	n.	n.	PROPN
fcis-19695	133	11	,	,	PUNCT
fcis-19695	133	12	li	li	PROPN
fcis-19695	133	13	,	,	PUNCT
fcis-19695	133	14	l.	l.	PROPN
fcis-19695	133	15	,	,	PUNCT
fcis-19695	133	16	sang	sing	VERB
fcis-19695	133	17	,	,	PUNCT
fcis-19695	133	18	g.	g.	PROPN
fcis-19695	133	19	,	,	PUNCT
fcis-19695	133	20	&	&	CCONJ
fcis-19695	133	21	wei	wei	PROPN
fcis-19695	133	22	,	,	PUNCT
fcis-19695	133	23	p.	p.	NOUN
fcis-19695	133	24	(	(	PUNCT
fcis-19695	133	25	2021	2021	NUM
fcis-19695	133	26	)	)	PUNCT
fcis-19695	133	27	.	.	PUNCT
fcis-19695	134	1	joint	joint	ADJ
fcis-19695	134	2	learning	learning	NOUN
fcis-19695	134	3	of	of	ADP
fcis-19695	134	4	super	super	NOUN
fcis-19695	134	5	-	-	ADJ
fcis-19695	134	6	resolution	resolution	NOUN
fcis-19695	134	7	and	and	CCONJ
fcis-19695	134	8	perceptual	perceptual	ADJ
fcis-19695	134	9	image	image	NOUN
fcis-19695	134	10	enhancement	enhancement	NOUN
fcis-19695	134	11	for	for	ADP
fcis-19695	134	12	single	single	ADJ
fcis-19695	134	13	image	image	NOUN
fcis-19695	134	14	.	.	PUNCT
fcis-19695	135	1	ieee	ieee	NOUN
fcis-19695	135	2	access	access	NOUN
fcis-19695	135	3	,	,	PUNCT
fcis-19695	135	4	2021(99	2021(99	NUM
fcis-19695	135	5	)	)	PUNCT
fcis-19695	135	6	,	,	PUNCT
fcis-19695	135	7	1	1	NUM
fcis-19695	135	8	-	-	SYM
fcis-19695	135	9	1	1	NUM
fcis-19695	135	10	.	.	PUNCT
fcis-19695	136	1	[	[	X
fcis-19695	136	2	12	12	NUM
fcis-19695	136	3	]	]	X
fcis-19695	136	4	galvez	galvez	PROPN
fcis-19695	136	5	,	,	PUNCT
fcis-19695	136	6	a.	a.	NOUN
fcis-19695	136	7	,	,	PUNCT
fcis-19695	136	8	iglesias	iglesias	PROPN
fcis-19695	136	9	,	,	PUNCT
fcis-19695	136	10	a.	a.	NOUN
fcis-19695	136	11	,	,	PUNCT
fcis-19695	136	12	fister	fister	PROPN
fcis-19695	136	13	,	,	PUNCT
fcis-19695	136	14	i.	i.	PROPN
fcis-19695	136	15	,	,	PUNCT
fcis-19695	136	16	otero	otero	PROPN
fcis-19695	136	17	,	,	PUNCT
fcis-19695	136	18	c.	c.	PROPN
fcis-19695	136	19	,	,	PUNCT
fcis-19695	136	20	&	&	CCONJ
fcis-19695	136	21	diaz	diaz	PROPN
fcis-19695	136	22	,	,	PUNCT
fcis-19695	136	23	j.	j.	PROPN
fcis-19695	136	24	a.	a.	PROPN
fcis-19695	136	25	(	(	PUNCT
fcis-19695	136	26	2021	2021	NUM
fcis-19695	136	27	)	)	PUNCT
fcis-19695	136	28	.	.	PUNCT
fcis-19695	137	1	nurbs	nurbs	PROPN
fcis-19695	137	2	functional	functional	ADJ
fcis-19695	137	3	network	network	NOUN
fcis-19695	137	4	approach	approach	NOUN
fcis-19695	137	5	for	for	ADP
fcis-19695	137	6	automatic	automatic	ADJ
fcis-19695	137	7	image	image	NOUN
fcis-19695	137	8	segmentation	segmentation	NOUN
fcis-19695	137	9	of	of	ADP
fcis-19695	137	10	macroscopic	macroscopic	ADJ
fcis-19695	137	11	medical	medical	ADJ
fcis-19695	137	12	images	image	NOUN
fcis-19695	137	13	in	in	ADP
fcis-19695	137	14	melanoma	melanoma	NOUN
fcis-19695	137	15	detection	detection	NOUN
fcis-19695	137	16	.	.	PUNCT
fcis-19695	138	1	journal	journal	NOUN
fcis-19695	138	2	of	of	ADP
fcis-19695	138	3	computational	computational	ADJ
fcis-19695	138	4	science	science	NOUN
fcis-19695	138	5	,	,	PUNCT
fcis-19695	138	6	2021(9	2021(9	NOUN
fcis-19695	138	7	)	)	PUNCT
fcis-19695	138	8	,	,	PUNCT
fcis-19695	138	9	56	56	NUM
fcis-19695	138	10	.	.	PUNCT
fcis-19695	139	1	[	[	X
fcis-19695	139	2	13	13	NUM
fcis-19695	139	3	]	]	X
fcis-19695	139	4	wang	wang	PROPN
fcis-19695	139	5	,	,	PUNCT
fcis-19695	139	6	g.	g.	PROPN
fcis-19695	139	7	,	,	PUNCT
fcis-19695	139	8	jacob	jacob	PROPN
fcis-19695	139	9	,	,	PUNCT
fcis-19695	139	10	m.	m.	NOUN
fcis-19695	139	11	,	,	PUNCT
fcis-19695	139	12	mou	mou	PROPN
fcis-19695	139	13	,	,	PUNCT
fcis-19695	139	14	x.	x.	PROPN
fcis-19695	139	15	,	,	PUNCT
fcis-19695	139	16	shi	shi	PROPN
fcis-19695	139	17	,	,	PUNCT
fcis-19695	139	18	y.	y.	PROPN
fcis-19695	139	19	,	,	PUNCT
fcis-19695	139	20	&	&	CCONJ
fcis-19695	139	21	eldar	eldar	PROPN
fcis-19695	139	22	,	,	PUNCT
fcis-19695	139	23	y.	y.	PROPN
fcis-19695	139	24	c.	c.	PROPN
fcis-19695	139	25	(	(	PUNCT
fcis-19695	139	26	2021	2021	NUM
fcis-19695	139	27	)	)	PUNCT
fcis-19695	139	28	.	.	PUNCT
fcis-19695	140	1	deep	deep	ADJ
fcis-19695	140	2	tomographic	tomographic	ADJ
fcis-19695	140	3	image	image	NOUN
fcis-19695	140	4	reconstruction	reconstruction	NOUN
fcis-19695	140	5	:	:	PUNCT
fcis-19695	140	6	yesterday	yesterday	NOUN
fcis-19695	140	7	,	,	PUNCT
fcis-19695	140	8	today	today	NOUN
fcis-19695	140	9	,	,	PUNCT
fcis-19695	140	10	and	and	CCONJ
fcis-19695	140	11	tomorrow	tomorrow	NOUN
fcis-19695	140	12	--	--	PUNCT
fcis-19695	140	13	editorial	editorial	NOUN
fcis-19695	140	14	for	for	ADP
fcis-19695	140	15	the	the	DET
fcis-19695	140	16	2nd	2nd	ADJ
fcis-19695	140	17	special	special	ADJ
fcis-19695	140	18	issue	issue	NOUN
fcis-19695	140	19	"	"	PUNCT
fcis-19695	140	20	machine	machine	NOUN
fcis-19695	140	21	learning	learning	NOUN
fcis-19695	140	22	for	for	ADP
fcis-19695	140	23	image	image	NOUN
fcis-19695	140	24	reconstruction	reconstruction	NOUN
fcis-19695	140	25	"	"	PUNCT
fcis-19695	140	26	.	.	PUNCT
fcis-19695	141	1	ieee	ieee	NOUN
fcis-19695	141	2	transactions	transaction	NOUN
fcis-19695	141	3	on	on	ADP
fcis-19695	141	4	medical	medical	ADJ
fcis-19695	141	5	imaging	imaging	NOUN
fcis-19695	141	6	,	,	PUNCT
fcis-19695	141	7	2021(11	2021(11	NUM
fcis-19695	141	8	)	)	PUNCT
fcis-19695	141	9	,	,	PUNCT
fcis-19695	141	10	40	40	NUM
fcis-19695	141	11	.	.	PUNCT
fcis-19695	142	1	[	[	X
fcis-19695	142	2	14	14	NUM
fcis-19695	142	3	]	]	SYM
fcis-19695	142	4	ye	ye	PROPN
fcis-19695	142	5	,	,	PUNCT
fcis-19695	142	6	s.	s.	PROPN
fcis-19695	142	7	,	,	PUNCT
fcis-19695	142	8	ravishankar	ravishankar	PROPN
fcis-19695	142	9	,	,	PUNCT
fcis-19695	142	10	s.	s.	PROPN
fcis-19695	142	11	,	,	PUNCT
fcis-19695	142	12	long	long	ADV
fcis-19695	142	13	,	,	PUNCT
fcis-19695	142	14	y.	y.	PROPN
fcis-19695	142	15	,	,	PUNCT
fcis-19695	142	16	&	&	CCONJ
fcis-19695	142	17	fessler	fessler	PROPN
fcis-19695	142	18	,	,	PUNCT
fcis-19695	142	19	j.	j.	PROPN
fcis-19695	142	20	(	(	PUNCT
fcis-19695	142	21	2020	2020	NUM
fcis-19695	142	22	)	)	PUNCT
fcis-19695	142	23	.	.	PUNCT
fcis-19695	143	1	spultra	spultra	PROPN
fcis-19695	143	2	:	:	PUNCT
fcis-19695	143	3	low	low	ADJ
fcis-19695	143	4	-	-	PUNCT
fcis-19695	143	5	dose	dose	VERB
fcis-19695	143	6	ct	ct	NUM
fcis-19695	143	7	image	image	NOUN
fcis-19695	143	8	reconstruction	reconstruction	NOUN
fcis-19695	143	9	with	with	ADP
fcis-19695	143	10	joint	joint	ADJ
fcis-19695	143	11	statistical	statistical	ADJ
fcis-19695	143	12	and	and	CCONJ
fcis-19695	143	13	learned	learn	VERB
fcis-19695	143	14	image	image	NOUN
fcis-19695	143	15	models	model	NOUN
fcis-19695	143	16	.	.	PUNCT
fcis-19695	144	1	ieee	ieee	NOUN
fcis-19695	144	2	transactions	transaction	NOUN
fcis-19695	144	3	on	on	ADP
fcis-19695	144	4	medical	medical	ADJ
fcis-19695	144	5	imaging	imaging	NOUN
fcis-19695	144	6	,	,	PUNCT
fcis-19695	144	7	39(3	39(3	NUM
fcis-19695	144	8	)	)	PUNCT
fcis-19695	144	9	,	,	PUNCT
fcis-19695	144	10	729	729	NUM
fcis-19695	144	11	-	-	SYM
fcis-19695	144	12	741	741	NUM
fcis-19695	144	13	.	.	PUNCT
fcis-19695	145	1	[	[	X
fcis-19695	145	2	15	15	NUM
fcis-19695	145	3	]	]	X
fcis-19695	145	4	ma	ma	PROPN
fcis-19695	145	5	,	,	PUNCT
fcis-19695	145	6	d.	d.	PROPN
fcis-19695	145	7	,	,	PUNCT
fcis-19695	145	8	li	li	PROPN
fcis-19695	145	9	,	,	PUNCT
fcis-19695	145	10	s.	s.	PROPN
fcis-19695	145	11	,	,	PUNCT
fcis-19695	145	12	dang	dang	PROPN
fcis-19695	145	13	,	,	PUNCT
fcis-19695	145	14	b.	b.	PROPN
fcis-19695	145	15	,	,	PUNCT
fcis-19695	145	16	zang	zang	PROPN
fcis-19695	145	17	,	,	PUNCT
fcis-19695	145	18	h.	h.	PROPN
fcis-19695	145	19	,	,	PUNCT
fcis-19695	145	20	&	&	CCONJ
fcis-19695	145	21	dong	dong	PROPN
fcis-19695	145	22	,	,	PUNCT
fcis-19695	145	23	x.	x.	NOUN
fcis-19695	145	24	(	(	PUNCT
fcis-19695	145	25	2024	2024	NUM
fcis-19695	145	26	)	)	PUNCT
fcis-19695	145	27	.	.	PUNCT
fcis-19695	146	1	fostc3net	fostc3net	PROPN
fcis-19695	146	2	:	:	PUNCT
fcis-19695	146	3	a	a	DET
fcis-19695	146	4	lightweight	lightweight	ADJ
fcis-19695	146	5	yolov5	yolov5	NOUN
fcis-19695	146	6	based	base	VERB
fcis-19695	146	7	on	on	ADP
fcis-19695	146	8	the	the	DET
fcis-19695	146	9	network	network	NOUN
fcis-19695	146	10	structure	structure	NOUN
fcis-19695	146	11	optimization	optimization	NOUN
fcis-19695	146	12	.	.	PUNCT
fcis-19695	147	1	arxiv	arxiv	PROPN
fcis-19695	147	2	preprint	preprint	PROPN
fcis-19695	147	3	arxiv:2403.13703	arxiv:2403.13703	NOUN
fcis-19695	147	4	.	.	PUNCT
fcis-19695	148	1	[	[	X
fcis-19695	148	2	16	16	NUM
fcis-19695	148	3	]	]	X
fcis-19695	148	4	zhang	zhang	PROPN
fcis-19695	148	5	,	,	PUNCT
fcis-19695	148	6	x.	x.	PROPN
fcis-19695	148	7	,	,	PUNCT
fcis-19695	148	8	guo	guo	PROPN
fcis-19695	148	9	,	,	PUNCT
fcis-19695	148	10	d.	d.	PROPN
fcis-19695	148	11	,	,	PUNCT
fcis-19695	148	12	huang	huang	PROPN
fcis-19695	148	13	,	,	PUNCT
fcis-19695	148	14	y.	y.	PROPN
fcis-19695	148	15	,	,	PUNCT
fcis-19695	148	16	chen	chen	PROPN
fcis-19695	148	17	,	,	PUNCT
fcis-19695	148	18	y.	y.	PROPN
fcis-19695	148	19	,	,	PUNCT
fcis-19695	148	20	&	&	CCONJ
fcis-19695	148	21	qu	qu	PROPN
fcis-19695	148	22	,	,	PUNCT
fcis-19695	148	23	x.	x.	NOUN
fcis-19695	148	24	(	(	PUNCT
fcis-19695	148	25	2020	2020	NUM
fcis-19695	148	26	)	)	PUNCT
fcis-19695	148	27	.	.	PUNCT
fcis-19695	149	1	image	image	NOUN
fcis-19695	149	2	reconstruction	reconstruction	NOUN
fcis-19695	149	3	with	with	ADP
fcis-19695	149	4	low	low	ADJ
fcis-19695	149	5	-	-	PUNCT
fcis-19695	149	6	rankness	rankness	NOUN
fcis-19695	149	7	and	and	CCONJ
fcis-19695	149	8	self	self	NOUN
fcis-19695	149	9	-	-	PUNCT
fcis-19695	149	10	consistency	consistency	NOUN
fcis-19695	149	11	of	of	ADP
fcis-19695	149	12	k	k	ADJ
fcis-19695	149	13	-	-	PUNCT
fcis-19695	149	14	space	space	NOUN
fcis-19695	149	15	data	datum	NOUN
fcis-19695	149	16	in	in	ADP
fcis-19695	149	17	parallel	parallel	ADJ
fcis-19695	149	18	mri	mri	NOUN
fcis-19695	149	19	.	.	PUNCT
fcis-19695	150	1	medical	medical	ADJ
fcis-19695	150	2	image	image	NOUN
fcis-19695	150	3	analysis	analysis	NOUN
fcis-19695	150	4	,	,	PUNCT
fcis-19695	150	5	63(6	63(6	PROPN
fcis-19695	150	6	)	)	PUNCT
fcis-19695	150	7	,	,	PUNCT
fcis-19695	150	8	101687	101687	NUM
fcis-19695	150	9	.	.	PUNCT
fcis-19695	151	1	[	[	X
fcis-19695	151	2	17	17	NUM
fcis-19695	151	3	]	]	X
fcis-19695	151	4	dai	dai	PROPN
fcis-19695	151	5	,	,	PUNCT
fcis-19695	151	6	w.	w.	PROPN
fcis-19695	151	7	,	,	PUNCT
fcis-19695	151	8	tao	tao	PROPN
fcis-19695	151	9	,	,	PUNCT
fcis-19695	151	10	j.	j.	PROPN
fcis-19695	151	11	,	,	PUNCT
fcis-19695	151	12	yan	yan	PROPN
fcis-19695	151	13	,	,	PUNCT
fcis-19695	151	14	x.	x.	PROPN
fcis-19695	151	15	,	,	PUNCT
fcis-19695	151	16	feng	feng	PROPN
fcis-19695	151	17	,	,	PUNCT
fcis-19695	151	18	z.	z.	PROPN
fcis-19695	151	19	,	,	PUNCT
fcis-19695	151	20	&	&	CCONJ
fcis-19695	151	21	chen	chen	PROPN
fcis-19695	151	22	,	,	PUNCT
fcis-19695	151	23	j.	j.	PROPN
fcis-19695	151	24	(	(	PUNCT
fcis-19695	151	25	2023	2023	NUM
fcis-19695	151	26	,	,	PUNCT
fcis-19695	151	27	november	november	PROPN
fcis-19695	151	28	)	)	PUNCT
fcis-19695	151	29	.	.	PUNCT
fcis-19695	152	1	addressing	address	VERB
fcis-19695	152	2	unintended	unintended	ADJ
fcis-19695	152	3	bias	bias	NOUN
fcis-19695	152	4	in	in	ADP
fcis-19695	152	5	toxicity	toxicity	NOUN
fcis-19695	152	6	detection	detection	NOUN
fcis-19695	152	7	:	:	PUNCT
fcis-19695	152	8	an	an	DET
fcis-19695	152	9	lstm	lstm	NOUN
fcis-19695	152	10	and	and	CCONJ
fcis-19695	152	11	attention	attention	NOUN
fcis-19695	152	12	-	-	PUNCT
fcis-19695	152	13	based	base	VERB
fcis-19695	152	14	approach	approach	NOUN
fcis-19695	152	15	.	.	PUNCT
fcis-19695	153	1	in	in	ADP
fcis-19695	153	2	2023	2023	NUM
fcis-19695	153	3	5th	5th	ADJ
fcis-19695	153	4	international	international	ADJ
fcis-19695	153	5	conference	conference	NOUN
fcis-19695	153	6	on	on	ADP
fcis-19695	153	7	artificial	artificial	ADJ
fcis-19695	153	8	intelligence	intelligence	NOUN
fcis-19695	153	9	and	and	CCONJ
fcis-19695	153	10	computer	computer	NOUN
fcis-19695	153	11	applications	application	NOUN
fcis-19695	153	12	(	(	PUNCT
fcis-19695	153	13	icaica	icaica	PROPN
fcis-19695	153	14	)	)	PUNCT
fcis-19695	153	15	(	(	PUNCT
fcis-19695	153	16	pp	pp	X
fcis-19695	153	17	.	.	PUNCT
fcis-19695	153	18	375	375	NUM
fcis-19695	153	19	-	-	SYM
fcis-19695	153	20	379	379	NUM
fcis-19695	153	21	)	)	PUNCT
fcis-19695	153	22	.	.	PUNCT
fcis-19695	154	1	ieee	ieee	PROPN
fcis-19695	154	2	.	.	PUNCT
fcis-19695	155	1	[	[	X
fcis-19695	155	2	18	18	NUM
fcis-19695	155	3	]	]	X
fcis-19695	155	4	xiao	xiao	PROPN
fcis-19695	155	5	,	,	PUNCT
fcis-19695	155	6	y.	y.	PROPN
fcis-19695	155	7	,	,	PUNCT
fcis-19695	155	8	wang	wang	PROPN
fcis-19695	155	9	,	,	PUNCT
fcis-19695	155	10	t.	t.	PROPN
fcis-19695	155	11	,	,	PUNCT
fcis-19695	155	12	sun	sun	NOUN
fcis-19695	155	13	,	,	PUNCT
fcis-19695	155	14	x.	x.	PROPN
fcis-19695	155	15	,	,	PUNCT
fcis-19695	155	16	li	li	PROPN
fcis-19695	155	17	,	,	PUNCT
fcis-19695	155	18	y.	y.	PROPN
fcis-19695	155	19	,	,	PUNCT
fcis-19695	155	20	song	song	NOUN
fcis-19695	155	21	,	,	PUNCT
fcis-19695	155	22	y.	y.	PROPN
fcis-19695	155	23	,	,	PUNCT
fcis-19695	155	24	cui	cui	PROPN
fcis-19695	155	25	,	,	PUNCT
fcis-19695	155	26	j.	j.	PROPN
fcis-19695	155	27	,	,	PUNCT
fcis-19695	155	28	...	...	PUNCT
fcis-19695	155	29	&	&	CCONJ
fcis-19695	155	30	gehringer	gehringer	PROPN
fcis-19695	155	31	,	,	PUNCT
fcis-19695	155	32	e.	e.	PROPN
fcis-19695	155	33	f.	f.	PROPN
fcis-19695	155	34	(	(	PUNCT
fcis-19695	155	35	2022	2022	NUM
fcis-19695	155	36	,	,	PUNCT
fcis-19695	155	37	january	january	PROPN
fcis-19695	155	38	)	)	PUNCT
fcis-19695	155	39	.	.	PUNCT
fcis-19695	156	1	modeling	model	VERB
fcis-19695	156	2	review	review	NOUN
fcis-19695	156	3	helpfulness	helpfulness	ADJ
fcis-19695	156	4	with	with	ADP
fcis-19695	156	5	augmented	augment	VERB
fcis-19695	156	6	transformer	transformer	NOUN
fcis-19695	156	7	neural	neural	ADJ
fcis-19695	156	8	networks	network	NOUN
fcis-19695	156	9	.	.	PUNCT
fcis-19695	157	1	in	in	ADP
fcis-19695	157	2	2022	2022	NUM
fcis-19695	157	3	ieee	ieee	NOUN
fcis-19695	157	4	16th	16th	ADJ
fcis-19695	157	5	international	international	ADJ
fcis-19695	157	6	conference	conference	NOUN
fcis-19695	157	7	on	on	ADP
fcis-19695	157	8	semantic	semantic	ADJ
fcis-19695	157	9	computing	computing	NOUN
fcis-19695	157	10	(	(	PUNCT
fcis-19695	157	11	icsc	icsc	PROPN
fcis-19695	157	12	)	)	PUNCT
fcis-19695	157	13	(	(	PUNCT
fcis-19695	157	14	pp	pp	X
fcis-19695	157	15	.	.	PUNCT
fcis-19695	158	1	83	83	NUM
fcis-19695	158	2	-	-	SYM
fcis-19695	158	3	90	90	NUM
fcis-19695	158	4	)	)	PUNCT
fcis-19695	158	5	.	.	PUNCT
fcis-19695	159	1	ieee	ieee	PROPN
fcis-19695	159	2	.	.	PUNCT
fcis-19695	160	1	[	[	X
fcis-19695	160	2	19	19	NUM
fcis-19695	160	3	]	]	X
fcis-19695	160	4	xin	xin	PROPN
fcis-19695	160	5	,	,	PUNCT
fcis-19695	160	6	y.	y.	PROPN
fcis-19695	160	7	,	,	PUNCT
fcis-19695	160	8	du	du	PROPN
fcis-19695	160	9	,	,	PUNCT
fcis-19695	160	10	j.	j.	PROPN
fcis-19695	160	11	,	,	PUNCT
fcis-19695	160	12	wang	wang	PROPN
fcis-19695	160	13	,	,	PUNCT
fcis-19695	160	14	q.	q.	PROPN
fcis-19695	160	15	,	,	PUNCT
fcis-19695	160	16	yan	yan	PROPN
fcis-19695	160	17	,	,	PUNCT
fcis-19695	160	18	k.	k.	PROPN
fcis-19695	160	19	,	,	PUNCT
fcis-19695	160	20	&	&	CCONJ
fcis-19695	160	21	ding	ding	PROPN
fcis-19695	160	22	,	,	PUNCT
fcis-19695	160	23	s.	s.	PROPN
fcis-19695	160	24	(	(	PUNCT
fcis-19695	160	25	2023	2023	NUM
fcis-19695	160	26	)	)	PUNCT
fcis-19695	160	27	.	.	PUNCT
fcis-19695	161	1	mmap	mmap	NOUN
fcis-19695	161	2	:	:	PUNCT
fcis-19695	161	3	multi	multi	ADJ
fcis-19695	161	4	-	-	ADJ
fcis-19695	161	5	modal	modal	ADJ
fcis-19695	161	6	alignment	alignment	NOUN
fcis-19695	161	7	prompt	prompt	NOUN
fcis-19695	161	8	for	for	ADP
fcis-19695	161	9	cross	cross	ADJ
fcis-19695	161	10	-	-	ADJ
fcis-19695	161	11	domain	domain	ADJ
fcis-19695	161	12	multi	multi	ADJ
fcis-19695	161	13	-	-	NOUN
fcis-19695	161	14	task	task	ADJ
fcis-19695	161	15	learning	learning	NOUN
fcis-19695	161	16	.	.	PUNCT
fcis-19695	162	1	arxiv	arxiv	PROPN
fcis-19695	162	2	preprint	preprint	VERB
fcis-19695	162	3	arxiv:2312.08636	arxiv:2312.08636	PROPN
fcis-19695	162	4	.	.	PUNCT
fcis-19695	163	1	[	[	X
fcis-19695	163	2	20	20	NUM
fcis-19695	163	3	]	]	SYM
fcis-19695	163	4	ma	ma	PROPN
fcis-19695	163	5	,	,	PUNCT
fcis-19695	163	6	d.	d.	PROPN
fcis-19695	163	7	,	,	PUNCT
fcis-19695	163	8	dang	dang	PROPN
fcis-19695	163	9	,	,	PUNCT
fcis-19695	163	10	b.	b.	PROPN
fcis-19695	163	11	,	,	PUNCT
fcis-19695	163	12	li	li	PROPN
fcis-19695	163	13	,	,	PUNCT
fcis-19695	163	14	s.	s.	PROPN
fcis-19695	163	15	,	,	PUNCT
fcis-19695	163	16	zang	zang	PROPN
fcis-19695	163	17	,	,	PUNCT
fcis-19695	163	18	h.	h.	PROPN
fcis-19695	163	19	,	,	PUNCT
fcis-19695	163	20	&	&	CCONJ
fcis-19695	163	21	dong	dong	PROPN
fcis-19695	163	22	,	,	PUNCT
fcis-19695	163	23	x.	x.	NOUN
fcis-19695	163	24	(	(	PUNCT
fcis-19695	163	25	2023	2023	NUM
fcis-19695	163	26	)	)	PUNCT
fcis-19695	163	27	.	.	PUNCT
fcis-19695	164	1	implementation	implementation	NOUN
fcis-19695	164	2	of	of	ADP
fcis-19695	164	3	computer	computer	NOUN
fcis-19695	164	4	vision	vision	NOUN
fcis-19695	164	5	technology	technology	NOUN
fcis-19695	164	6	based	base	VERB
fcis-19695	164	7	on	on	ADP
fcis-19695	164	8	artificial	artificial	ADJ
fcis-19695	164	9	intelligence	intelligence	NOUN
fcis-19695	164	10	for	for	ADP
fcis-19695	164	11	medical	medical	ADJ
fcis-19695	164	12	image	image	NOUN
fcis-19695	164	13	analysis	analysis	NOUN
fcis-19695	164	14	.	.	PUNCT
fcis-19695	165	1	international	international	ADJ
fcis-19695	165	2	journal	journal	NOUN
fcis-19695	165	3	of	of	ADP
fcis-19695	165	4	computer	computer	NOUN
fcis-19695	165	5	science	science	NOUN
fcis-19695	165	6	and	and	CCONJ
fcis-19695	165	7	information	information	NOUN
fcis-19695	165	8	technology	technology	NOUN
fcis-19695	165	9	,	,	PUNCT
fcis-19695	165	10	1	1	NUM
fcis-19695	165	11	(	(	PUNCT
fcis-19695	165	12	1	1	NUM
fcis-19695	165	13	)	)	PUNCT
fcis-19695	165	14	,	,	PUNCT
fcis-19695	165	15	69	69	NUM
fcis-19695	165	16	-	-	SYM
fcis-19695	165	17	76	76	NUM
fcis-19695	165	18	.	.	PUNCT
fcis-19695	166	1	[	[	X
fcis-19695	166	2	21	21	NUM
fcis-19695	166	3	]	]	X
fcis-19695	166	4	liu	liu	PROPN
fcis-19695	166	5	,	,	PUNCT
fcis-19695	166	6	c.	c.	PROPN
fcis-19695	166	7	,	,	PUNCT
fcis-19695	166	8	cui	cui	PROPN
fcis-19695	166	9	,	,	PUNCT
fcis-19695	166	10	j.	j.	PROPN
fcis-19695	166	11	,	,	PUNCT
fcis-19695	166	12	shang	shang	PROPN
fcis-19695	166	13	,	,	PUNCT
fcis-19695	166	14	r.	r.	PROPN
fcis-19695	166	15	,	,	PUNCT
fcis-19695	166	16	xiao	xiao	PROPN
fcis-19695	166	17	,	,	PUNCT
fcis-19695	166	18	y.	y.	PROPN
fcis-19695	166	19	,	,	PUNCT
fcis-19695	166	20	jia	jia	PROPN
fcis-19695	166	21	,	,	PUNCT
fcis-19695	166	22	q.	q.	PROPN
fcis-19695	166	23	,	,	PUNCT
fcis-19695	166	24	&	&	CCONJ
fcis-19695	166	25	gehringer	gehringer	PROPN
fcis-19695	166	26	,	,	PUNCT
fcis-19695	166	27	e.	e.	PROPN
fcis-19695	166	28	(	(	PUNCT
fcis-19695	166	29	2022	2022	NUM
fcis-19695	166	30	)	)	PUNCT
fcis-19695	166	31	.	.	PUNCT
fcis-19695	167	1	improving	improve	VERB
fcis-19695	167	2	problem	problem	NOUN
fcis-19695	167	3	detection	detection	NOUN
fcis-19695	167	4	in	in	ADP
fcis-19695	167	5	peer	peer	NOUN
fcis-19695	167	6	assessment	assessment	NOUN
fcis-19695	167	7	through	through	ADP
fcis-19695	167	8	pseudo	pseudo	NOUN
fcis-19695	167	9	-	-	NOUN
fcis-19695	167	10	labeling	labeling	NOUN
fcis-19695	167	11	using	use	VERB
fcis-19695	167	12	semi	semi	ADJ
fcis-19695	167	13	-	-	ADJ
fcis-19695	167	14	supervised	supervised	ADJ
fcis-19695	167	15	learning	learning	NOUN
fcis-19695	167	16	.	.	PUNCT
fcis-19695	168	1	international	international	ADJ
fcis-19695	168	2	educational	educational	ADJ
fcis-19695	168	3	data	datum	NOUN
fcis-19695	168	4	mining	mining	NOUN
fcis-19695	168	5	society	society	NOUN
fcis-19695	168	6	.	.	PUNCT
fcis-19695	169	1	[	[	X
fcis-19695	169	2	22	22	NUM
fcis-19695	169	3	]	]	X
fcis-19695	169	4	yufeng	yufeng	PROPN
fcis-19695	169	5	li	li	PROPN
fcis-19695	169	6	,	,	PUNCT
fcis-19695	169	7	weimin	weimin	PROPN
fcis-19695	169	8	wang	wang	PROPN
fcis-19695	169	9	,	,	PUNCT
fcis-19695	169	10	xu	xu	PROPN
fcis-19695	169	11	yan	yan	PROPN
fcis-19695	169	12	,	,	PUNCT
fcis-19695	169	13	min	min	PROPN
fcis-19695	169	14	gao	gao	PROPN
fcis-19695	169	15	,	,	PUNCT
fcis-19695	169	16	&	&	CCONJ
fcis-19695	169	17	mingxuan	mingxuan	PROPN
fcis-19695	169	18	xiao	xiao	PROPN
fcis-19695	169	19	.	.	PROPN
fcis-19695	169	20	(	(	PUNCT
fcis-19695	169	21	2024	2024	NUM
fcis-19695	169	22	)	)	PUNCT
fcis-19695	169	23	.	.	PUNCT
fcis-19695	170	1	research	research	NOUN
fcis-19695	170	2	on	on	ADP
fcis-19695	170	3	the	the	DET
fcis-19695	170	4	application	application	NOUN
fcis-19695	170	5	of	of	ADP
fcis-19695	170	6	semantic	semantic	ADJ
fcis-19695	170	7	network	network	NOUN
fcis-19695	170	8	in	in	ADP
fcis-19695	170	9	disease	disease	NOUN
fcis-19695	170	10	diagnosis	diagnosis	NOUN
fcis-19695	170	11	prompts	prompt	NOUN
fcis-19695	170	12	based	base	VERB
fcis-19695	170	13	on	on	ADP
fcis-19695	170	14	medical	medical	ADJ
fcis-19695	170	15	corpus	corpus	NOUN
fcis-19695	170	16	.	.	PUNCT
fcis-19695	171	1	international	international	ADJ
fcis-19695	171	2	journal	journal	PROPN
fcis-19695	171	3	of	of	ADP
fcis-19695	171	4	innovative	innovative	ADJ
fcis-19695	171	5	research	research	NOUN
fcis-19695	171	6	in	in	ADP
fcis-19695	171	7	computer	computer	NOUN
fcis-19695	171	8	science	science	PROPN
fcis-19695	171	9	&	&	CCONJ
fcis-19695	171	10	technology	technology	PROPN
fcis-19695	171	11	,	,	PUNCT
fcis-19695	171	12	12(2	12(2	NUM
fcis-19695	171	13	)	)	PUNCT
fcis-19695	171	14	,	,	PUNCT
fcis-19695	171	15	1–9	1–9	NOUN
fcis-19695	171	16	.	.	NOUN
fcis-19695	171	17	retrieved	retrieve	VERB
fcis-19695	171	18	from	from	ADP
fcis-19695	171	19	https://	https://	PROPN
fcis-19695	171	20	ijircst	ijircst	PROPN
fcis-19695	171	21	.	.	PUNCT
fcis-19695	171	22	irpublications	irpublication	NOUN
fcis-19695	171	23	.	.	PUNCT
fcis-19695	172	1	org	org	ADJ
fcis-19695	172	2	/	/	SYM
fcis-19695	172	3	index	index	NOUN
fcis-19695	172	4	.	.	PUNCT
fcis-19695	173	1	php	php	PROPN
fcis-19695	173	2	/	/	SYM
fcis-19695	173	3	ijircst/	ijircst/	NUM
fcis-19695	173	4	article/	article/	NUM
fcis-19695	173	5	view/	view/	NUM
fcis-19695	173	6	29	29	NUM
fcis-19695	173	7	.	.	PUNCT
fcis-19695	174	1	[	[	X
fcis-19695	174	2	23	23	NUM
fcis-19695	174	3	]	]	PUNCT
fcis-19695	174	4	xu	xu	PROPN
fcis-19695	174	5	,	,	PUNCT
fcis-19695	174	6	h.	h.	PROPN
fcis-19695	174	7	,	,	PUNCT
fcis-19695	174	8	wen	wen	PROPN
fcis-19695	174	9	,	,	PUNCT
fcis-19695	174	10	s.	s.	PROPN
fcis-19695	174	11	,	,	PUNCT
fcis-19695	174	12	gimenez	gimenez	PROPN
fcis-19695	174	13	,	,	PUNCT
fcis-19695	174	14	a.	a.	PROPN
fcis-19695	174	15	,	,	PUNCT
fcis-19695	174	16	gamblin	gamblin	PROPN
fcis-19695	174	17	,	,	PUNCT
fcis-19695	174	18	t.	t.	PROPN
fcis-19695	174	19	,	,	PUNCT
fcis-19695	174	20	&	&	CCONJ
fcis-19695	174	21	liu	liu	PROPN
fcis-19695	174	22	,	,	PUNCT
fcis-19695	174	23	x.	x.	NOUN
fcis-19695	174	24	(	(	PUNCT
fcis-19695	174	25	2017	2017	NUM
fcis-19695	174	26	,	,	PUNCT
fcis-19695	174	27	may	may	AUX
fcis-19695	174	28	)	)	PUNCT
fcis-19695	174	29	.	.	PUNCT
fcis-19695	175	1	dr	dr	PROPN
fcis-19695	175	2	-	-	PUNCT
fcis-19695	175	3	bw	bw	PROPN
fcis-19695	175	4	:	:	PUNCT
fcis-19695	175	5	identifying	identify	VERB
fcis-19695	175	6	bandwidth	bandwidth	ADJ
fcis-19695	175	7	contention	contention	NOUN
fcis-19695	175	8	in	in	ADP
fcis-19695	175	9	numa	numa	PROPN
fcis-19695	175	10	architectures	architecture	NOUN
fcis-19695	175	11	with	with	ADP
fcis-19695	175	12	supervised	supervised	ADJ
fcis-19695	175	13	learning	learning	NOUN
fcis-19695	175	14	.	.	PUNCT
fcis-19695	176	1	in	in	ADP
fcis-19695	176	2	2017	2017	NUM
fcis-19695	176	3	ieee	ieee	NOUN
fcis-19695	176	4	international	international	ADJ
fcis-19695	176	5	parallel	parallel	ADJ
fcis-19695	176	6	and	and	CCONJ
fcis-19695	176	7	distributed	distributed	ADJ
fcis-19695	176	8	processing	processing	NOUN
fcis-19695	176	9	symposium	symposium	NOUN
fcis-19695	176	10	(	(	PUNCT
fcis-19695	176	11	ipdps	ipdps	PROPN
fcis-19695	176	12	)	)	PUNCT
fcis-19695	176	13	(	(	PUNCT
fcis-19695	176	14	pp	pp	X
fcis-19695	176	15	.	.	PUNCT
fcis-19695	176	16	367	367	NUM
fcis-19695	176	17	-	-	SYM
fcis-19695	176	18	376	376	NUM
fcis-19695	176	19	)	)	PUNCT
fcis-19695	176	20	.	.	PUNCT
fcis-19695	177	1	ieee	ieee	NOUN
fcis-19695	177	2	.	.	PUNCT
fcis-19695	178	1	[	[	X
fcis-19695	178	2	24	24	NUM
fcis-19695	178	3	]	]	X
fcis-19695	178	4	xin	xin	PROPN
fcis-19695	178	5	,	,	PUNCT
fcis-19695	178	6	y.	y.	PROPN
fcis-19695	178	7	,	,	PUNCT
fcis-19695	178	8	du	du	PROPN
fcis-19695	178	9	,	,	PUNCT
fcis-19695	178	10	j.	j.	PROPN
fcis-19695	178	11	,	,	PUNCT
fcis-19695	178	12	wang	wang	PROPN
fcis-19695	178	13	,	,	PUNCT
fcis-19695	178	14	q.	q.	PROPN
fcis-19695	178	15	,	,	PUNCT
fcis-19695	178	16	lin	lin	PROPN
fcis-19695	178	17	,	,	PUNCT
fcis-19695	178	18	z.	z.	PROPN
fcis-19695	178	19	,	,	PUNCT
fcis-19695	178	20	&	&	CCONJ
fcis-19695	178	21	yan	yan	PROPN
fcis-19695	178	22	,	,	PUNCT
fcis-19695	178	23	k.	k.	PROPN
fcis-19695	178	24	(	(	PUNCT
fcis-19695	178	25	2023	2023	NUM
fcis-19695	178	26	)	)	PUNCT
fcis-19695	178	27	.	.	PUNCT
fcis-19695	179	1	vmtadapter	vmtadapter	NOUN
fcis-19695	179	2	:	:	PUNCT
fcis-19695	179	3	parameter	parameter	NOUN
fcis-19695	179	4	-	-	PUNCT
fcis-19695	179	5	efficient	efficient	ADJ
fcis-19695	179	6	transfer	transfer	NOUN
fcis-19695	179	7	learning	learning	NOUN
fcis-19695	179	8	for	for	ADP
fcis-19695	179	9	multi	multi	ADJ
fcis-19695	179	10	-	-	ADJ
fcis-19695	179	11	task	task	ADJ
fcis-19695	179	12	dense	dense	ADJ
fcis-19695	179	13	scene	scene	NOUN
fcis-19695	179	14	understanding	understand	VERB
fcis-19695	179	15	.	.	PUNCT
fcis-19695	180	1	arxiv	arxiv	PROPN
fcis-19695	180	2	preprint	preprint	NOUN
fcis-19695	180	3	arxiv:2312.08733	arxiv:2312.08733	ADV
fcis-19695	180	4	.	.	PUNCT
fcis-19695	181	1	[	[	X
fcis-19695	181	2	25	25	NUM
fcis-19695	181	3	]	]	X
fcis-19695	181	4	hao	hao	PROPN
fcis-19695	181	5	xu	xu	PROPN
fcis-19695	181	6	,	,	PUNCT
fcis-19695	181	7	shuang	shuang	PROPN
fcis-19695	181	8	song	song	PROPN
fcis-19695	181	9	,	,	PUNCT
fcis-19695	181	10	and	and	CCONJ
fcis-19695	181	11	ze	ze	PROPN
fcis-19695	181	12	mao	mao	PROPN
fcis-19695	181	13	.	.	PUNCT
fcis-19695	182	1	2023	2023	NUM
fcis-19695	182	2	.	.	PUNCT
fcis-19695	183	1	characterizing	characterize	VERB
fcis-19695	183	2	the	the	DET
fcis-19695	183	3	performance	performance	NOUN
fcis-19695	183	4	of	of	ADP
fcis-19695	183	5	emerging	emerge	VERB
fcis-19695	183	6	deep	deep	ADJ
fcis-19695	183	7	learning	learning	NOUN
fcis-19695	183	8	,	,	PUNCT
fcis-19695	183	9	graph	graph	NOUN
fcis-19695	183	10	,	,	PUNCT
fcis-19695	183	11	and	and	CCONJ
fcis-19695	183	12	high	high	ADJ
fcis-19695	183	13	performance	performance	NOUN
fcis-19695	183	14	computing	computing	NOUN
fcis-19695	183	15	workloads	workload	NOUN
fcis-19695	183	16	under	under	ADP
fcis-19695	183	17	interference	interference	NOUN
fcis-19695	183	18	.	.	PUNCT
fcis-19695	184	1	arxiv:2303.15763	arxiv:2303.15763	PROPN
fcis-19695	184	2	.	.	PUNCT