id	sid	tid	token	lemma	pos
ajst-10656	1	1	academic	academic	ADJ
ajst-10656	1	2	journal	journal	NOUN
ajst-10656	1	3	of	of	ADP
ajst-10656	1	4	science	science	NOUN
ajst-10656	1	5	and	and	CCONJ
ajst-10656	1	6	technology	technology	NOUN
ajst-10656	1	7	issn	issn	NOUN
ajst-10656	1	8	:	:	PUNCT
ajst-10656	1	9	2771	2771	NUM
ajst-10656	1	10	-	-	SYM
ajst-10656	1	11	3032	3032	NUM
ajst-10656	1	12	|	|	NOUN
ajst-10656	1	13	vol	vol	NOUN
ajst-10656	1	14	.	.	PROPN
ajst-10656	2	1	6	6	NUM
ajst-10656	2	2	,	,	PUNCT
ajst-10656	2	3	no	no	INTJ
ajst-10656	2	4	.	.	NOUN
ajst-10656	2	5	3	3	NUM
ajst-10656	2	6	,	,	PUNCT
ajst-10656	2	7	2023	2023	NUM
ajst-10656	2	8	138	138	NUM
ajst-10656	2	9	deep	deep	ADJ
ajst-10656	2	10	learning	learning	NOUN
ajst-10656	2	11	based	base	VERB
ajst-10656	2	12	metal	metal	NOUN
ajst-10656	2	13	artifact	artifact	NOUN
ajst-10656	2	14	reduction	reduction	NOUN
ajst-10656	2	15	in	in	ADP
ajst-10656	2	16	x‐ray	x‐ray	PROPN
ajst-10656	2	17	computed	computed	ADJ
ajst-10656	2	18	tomography	tomography	NOUN
ajst-10656	2	19	chunjie	chunjie	PROPN
ajst-10656	2	20	su	su	PROPN
ajst-10656	2	21	*	*	PROPN
ajst-10656	2	22	college	college	PROPN
ajst-10656	2	23	of	of	ADP
ajst-10656	2	24	electronics	electronic	NOUN
ajst-10656	2	25	and	and	CCONJ
ajst-10656	2	26	information	information	NOUN
ajst-10656	2	27	,	,	PUNCT
ajst-10656	2	28	southwest	southwest	PROPN
ajst-10656	2	29	minzu	minzu	PROPN
ajst-10656	2	30	university	university	PROPN
ajst-10656	2	31	,	,	PUNCT
ajst-10656	2	32	sichuan	sichuan	PROPN
ajst-10656	2	33	,	,	PUNCT
ajst-10656	2	34	610200	610200	NUM
ajst-10656	2	35	,	,	PUNCT
ajst-10656	2	36	china	china	PROPN
ajst-10656	2	37	*	*	PUNCT
ajst-10656	2	38	corresponding	correspond	VERB
ajst-10656	2	39	author	author	NOUN
ajst-10656	2	40	:	:	PUNCT
ajst-10656	2	41	chunjie	chunjie	PROPN
ajst-10656	2	42	su	su	PROPN
ajst-10656	2	43	(	(	PUNCT
ajst-10656	2	44	email	email	NOUN
ajst-10656	2	45	:	:	PUNCT
ajst-10656	2	46	1728711323@qq.com	1728711323@qq.com	NUM
ajst-10656	2	47	)	)	PUNCT
ajst-10656	2	48	abstract	abstract	NOUN
ajst-10656	2	49	:	:	PUNCT
ajst-10656	2	50	due	due	ADP
ajst-10656	2	51	to	to	ADP
ajst-10656	2	52	the	the	DET
ajst-10656	2	53	presence	presence	NOUN
ajst-10656	2	54	of	of	ADP
ajst-10656	2	55	metal	metal	NOUN
ajst-10656	2	56	implants	implant	NOUN
ajst-10656	2	57	,	,	PUNCT
ajst-10656	2	58	computed	compute	VERB
ajst-10656	2	59	tomography(ct	tomography(ct	NOUN
ajst-10656	2	60	)	)	PUNCT
ajst-10656	2	61	images	image	NOUN
ajst-10656	2	62	of	of	ADP
ajst-10656	2	63	patients	patient	NOUN
ajst-10656	2	64	undergoing	undergo	VERB
ajst-10656	2	65	ct	ct	PROPN
ajst-10656	2	66	scans	scan	NOUN
ajst-10656	2	67	produce	produce	VERB
ajst-10656	2	68	severe	severe	ADJ
ajst-10656	2	69	metal	metal	NOUN
ajst-10656	2	70	artifacts	artifact	NOUN
ajst-10656	2	71	.	.	PUNCT
ajst-10656	3	1	in	in	ADP
ajst-10656	3	2	recent	recent	ADJ
ajst-10656	3	3	years	year	NOUN
ajst-10656	3	4	,	,	PUNCT
ajst-10656	3	5	metal	metal	NOUN
ajst-10656	3	6	artifact	artifact	NOUN
ajst-10656	3	7	reduction	reduction	NOUN
ajst-10656	3	8	(	(	PUNCT
ajst-10656	3	9	mar	mar	PROPN
ajst-10656	3	10	)	)	PUNCT
ajst-10656	3	11	algorithms	algorithm	NOUN
ajst-10656	3	12	have	have	AUX
ajst-10656	3	13	been	be	AUX
ajst-10656	3	14	developed	develop	VERB
ajst-10656	3	15	at	at	ADP
ajst-10656	3	16	a	a	DET
ajst-10656	3	17	high	high	ADJ
ajst-10656	3	18	speed	speed	NOUN
ajst-10656	3	19	,	,	PUNCT
ajst-10656	3	20	and	and	CCONJ
ajst-10656	3	21	deep	deep	ADJ
ajst-10656	3	22	learning	learning	NOUN
ajst-10656	3	23	-	-	PUNCT
ajst-10656	3	24	based	base	VERB
ajst-10656	3	25	mar	mar	PROPN
ajst-10656	3	26	algorithms	algorithm	NOUN
ajst-10656	3	27	have	have	AUX
ajst-10656	3	28	proved	prove	VERB
ajst-10656	3	29	to	to	PART
ajst-10656	3	30	be	be	AUX
ajst-10656	3	31	one	one	NUM
ajst-10656	3	32	of	of	ADP
ajst-10656	3	33	the	the	DET
ajst-10656	3	34	very	very	ADV
ajst-10656	3	35	effective	effective	ADJ
ajst-10656	3	36	methods	method	NOUN
ajst-10656	3	37	.	.	PUNCT
ajst-10656	4	1	however	however	ADV
ajst-10656	4	2	,	,	PUNCT
ajst-10656	4	3	based	base	VERB
ajst-10656	4	4	on	on	ADP
ajst-10656	4	5	the	the	DET
ajst-10656	4	6	fact	fact	NOUN
ajst-10656	4	7	that	that	SCONJ
ajst-10656	4	8	most	most	ADJ
ajst-10656	4	9	of	of	ADP
ajst-10656	4	10	the	the	DET
ajst-10656	4	11	current	current	ADJ
ajst-10656	4	12	deep	deep	ADJ
ajst-10656	4	13	learning	learning	NOUN
ajst-10656	4	14	-	-	PUNCT
ajst-10656	4	15	based	base	VERB
ajst-10656	4	16	solutions	solution	NOUN
ajst-10656	4	17	utilize	utilize	VERB
ajst-10656	4	18	simulated	simulated	ADJ
ajst-10656	4	19	data	datum	NOUN
ajst-10656	4	20	for	for	ADP
ajst-10656	4	21	supervised	supervised	ADJ
ajst-10656	4	22	training	training	NOUN
ajst-10656	4	23	,	,	PUNCT
ajst-10656	4	24	these	these	DET
ajst-10656	4	25	models	model	NOUN
ajst-10656	4	26	are	be	AUX
ajst-10656	4	27	difficult	difficult	ADJ
ajst-10656	4	28	to	to	PART
ajst-10656	4	29	be	be	AUX
ajst-10656	4	30	directly	directly	ADV
ajst-10656	4	31	applied	apply	VERB
ajst-10656	4	32	in	in	ADP
ajst-10656	4	33	clinical	clinical	ADJ
ajst-10656	4	34	settings	setting	NOUN
ajst-10656	4	35	.	.	PUNCT
ajst-10656	5	1	in	in	ADP
ajst-10656	5	2	addition	addition	NOUN
ajst-10656	5	3	,	,	PUNCT
ajst-10656	5	4	current	current	ADJ
ajst-10656	5	5	mar	mar	PROPN
ajst-10656	5	6	schemes	scheme	NOUN
ajst-10656	5	7	still	still	ADV
ajst-10656	5	8	face	face	VERB
ajst-10656	5	9	considerable	considerable	ADJ
ajst-10656	5	10	challenges	challenge	NOUN
ajst-10656	5	11	in	in	ADP
ajst-10656	5	12	reduce	reduce	VERB
ajst-10656	5	13	streak	streak	NOUN
ajst-10656	5	14	artifacts	artifact	NOUN
ajst-10656	5	15	and	and	CCONJ
ajst-10656	5	16	dark	dark	ADJ
ajst-10656	5	17	band	band	NOUN
ajst-10656	5	18	artifacts	artifact	NOUN
ajst-10656	5	19	from	from	ADP
ajst-10656	5	20	metal	metal	NOUN
ajst-10656	5	21	artifacts	artifact	NOUN
ajst-10656	5	22	.	.	PUNCT
ajst-10656	6	1	in	in	ADP
ajst-10656	6	2	this	this	DET
ajst-10656	6	3	paper	paper	NOUN
ajst-10656	6	4	,	,	PUNCT
ajst-10656	6	5	we	we	PRON
ajst-10656	6	6	propose	propose	VERB
ajst-10656	6	7	an	an	DET
ajst-10656	6	8	improved	improved	ADJ
ajst-10656	6	9	unsupervised	unsupervised	ADJ
ajst-10656	6	10	network	network	NOUN
ajst-10656	6	11	model	model	NOUN
ajst-10656	6	12	based	base	VERB
ajst-10656	6	13	on	on	ADP
ajst-10656	6	14	cyclegan	cyclegan	NOUN
ajst-10656	6	15	suitable	suitable	ADJ
ajst-10656	6	16	for	for	ADP
ajst-10656	6	17	small	small	ADJ
ajst-10656	6	18	-	-	PUNCT
ajst-10656	6	19	sample	sample	NOUN
ajst-10656	6	20	training	training	NOUN
ajst-10656	6	21	of	of	ADP
ajst-10656	6	22	medical	medical	ADJ
ajst-10656	6	23	images	image	NOUN
ajst-10656	6	24	.	.	PUNCT
ajst-10656	7	1	in	in	ADP
ajst-10656	7	2	order	order	NOUN
ajst-10656	7	3	to	to	PART
ajst-10656	7	4	enhance	enhance	VERB
ajst-10656	7	5	the	the	DET
ajst-10656	7	6	extraction	extraction	NOUN
ajst-10656	7	7	of	of	ADP
ajst-10656	7	8	image	image	NOUN
ajst-10656	7	9	features	feature	NOUN
ajst-10656	7	10	,	,	PUNCT
ajst-10656	7	11	the	the	DET
ajst-10656	7	12	generator	generator	NOUN
ajst-10656	7	13	in	in	ADP
ajst-10656	7	14	this	this	DET
ajst-10656	7	15	paper	paper	NOUN
ajst-10656	7	16	adopts	adopt	VERB
ajst-10656	7	17	the	the	DET
ajst-10656	7	18	u	u	ADJ
ajst-10656	7	19	-	-	ADJ
ajst-10656	7	20	net	net	ADJ
ajst-10656	7	21	network	network	NOUN
ajst-10656	7	22	model	model	NOUN
ajst-10656	7	23	,	,	PUNCT
ajst-10656	7	24	which	which	PRON
ajst-10656	7	25	is	be	AUX
ajst-10656	7	26	commonly	commonly	ADV
ajst-10656	7	27	used	use	VERB
ajst-10656	7	28	in	in	ADP
ajst-10656	7	29	medical	medical	ADJ
ajst-10656	7	30	image	image	NOUN
ajst-10656	7	31	processing	processing	NOUN
ajst-10656	7	32	,	,	PUNCT
ajst-10656	7	33	and	and	CCONJ
ajst-10656	7	34	the	the	DET
ajst-10656	7	35	residual	residual	ADJ
ajst-10656	7	36	connection	connection	NOUN
ajst-10656	7	37	and	and	CCONJ
ajst-10656	7	38	attention	attention	NOUN
ajst-10656	7	39	modules	module	NOUN
ajst-10656	7	40	are	be	AUX
ajst-10656	7	41	added	add	VERB
ajst-10656	7	42	between	between	ADP
ajst-10656	7	43	each	each	DET
ajst-10656	7	44	layer	layer	NOUN
ajst-10656	7	45	of	of	ADP
ajst-10656	7	46	the	the	DET
ajst-10656	7	47	u	u	ADJ
ajst-10656	7	48	-	-	ADJ
ajst-10656	7	49	net	net	ADJ
ajst-10656	7	50	network	network	NOUN
ajst-10656	7	51	.	.	PUNCT
ajst-10656	8	1	in	in	ADP
ajst-10656	8	2	addition	addition	NOUN
ajst-10656	8	3	,	,	PUNCT
ajst-10656	8	4	in	in	ADP
ajst-10656	8	5	order	order	NOUN
ajst-10656	8	6	to	to	PART
ajst-10656	8	7	better	well	ADV
ajst-10656	8	8	repair	repair	VERB
ajst-10656	8	9	the	the	DET
ajst-10656	8	10	dark	dark	ADJ
ajst-10656	8	11	band	band	NOUN
ajst-10656	8	12	artifacts	artifact	NOUN
ajst-10656	8	13	,	,	PUNCT
ajst-10656	8	14	the	the	DET
ajst-10656	8	15	input	input	NOUN
ajst-10656	8	16	of	of	ADP
ajst-10656	8	17	the	the	DET
ajst-10656	8	18	network	network	NOUN
ajst-10656	8	19	is	be	AUX
ajst-10656	8	20	processed	process	VERB
ajst-10656	8	21	by	by	ADP
ajst-10656	8	22	mixing	mix	VERB
ajst-10656	8	23	the	the	DET
ajst-10656	8	24	original	original	ADJ
ajst-10656	8	25	image	image	NOUN
ajst-10656	8	26	and	and	CCONJ
ajst-10656	8	27	the	the	DET
ajst-10656	8	28	prior	prior	ADJ
ajst-10656	8	29	image	image	NOUN
ajst-10656	8	30	,	,	PUNCT
ajst-10656	8	31	and	and	CCONJ
ajst-10656	8	32	in	in	ADP
ajst-10656	8	33	order	order	NOUN
ajst-10656	8	34	to	to	PART
ajst-10656	8	35	make	make	VERB
ajst-10656	8	36	the	the	DET
ajst-10656	8	37	output	output	NOUN
ajst-10656	8	38	image	image	NOUN
ajst-10656	8	39	retain	retain	VERB
ajst-10656	8	40	as	as	ADV
ajst-10656	8	41	much	much	ADV
ajst-10656	8	42	as	as	ADP
ajst-10656	8	43	possible	possible	ADJ
ajst-10656	8	44	the	the	DET
ajst-10656	8	45	effective	effective	ADJ
ajst-10656	8	46	information	information	NOUN
ajst-10656	8	47	of	of	ADP
ajst-10656	8	48	the	the	DET
ajst-10656	8	49	original	original	ADJ
ajst-10656	8	50	image	image	NOUN
ajst-10656	8	51	,	,	PUNCT
ajst-10656	8	52	this	this	DET
ajst-10656	8	53	paper	paper	NOUN
ajst-10656	8	54	adds	add	VERB
ajst-10656	8	55	the	the	DET
ajst-10656	8	56	correlation	correlation	NOUN
ajst-10656	8	57	constraints	constraint	NOUN
ajst-10656	8	58	of	of	ADP
ajst-10656	8	59	the	the	DET
ajst-10656	8	60	prior	prior	ADJ
ajst-10656	8	61	image	image	NOUN
ajst-10656	8	62	and	and	CCONJ
ajst-10656	8	63	the	the	DET
ajst-10656	8	64	original	original	ADJ
ajst-10656	8	65	image	image	NOUN
ajst-10656	8	66	to	to	ADP
ajst-10656	8	67	the	the	DET
ajst-10656	8	68	output	output	NOUN
ajst-10656	8	69	of	of	ADP
ajst-10656	8	70	the	the	DET
ajst-10656	8	71	network	network	NOUN
ajst-10656	8	72	.	.	PUNCT
ajst-10656	9	1	experimentally	experimentally	ADV
ajst-10656	9	2	,	,	PUNCT
ajst-10656	9	3	it	it	PRON
ajst-10656	9	4	is	be	AUX
ajst-10656	9	5	proved	prove	VERB
ajst-10656	9	6	that	that	SCONJ
ajst-10656	9	7	the	the	DET
ajst-10656	9	8	method	method	NOUN
ajst-10656	9	9	in	in	ADP
ajst-10656	9	10	this	this	DET
ajst-10656	9	11	paper	paper	NOUN
ajst-10656	9	12	has	have	VERB
ajst-10656	9	13	very	very	ADV
ajst-10656	9	14	good	good	ADJ
ajst-10656	9	15	ability	ability	NOUN
ajst-10656	9	16	to	to	PART
ajst-10656	9	17	reduce	reduce	VERB
ajst-10656	9	18	metal	metal	NOUN
ajst-10656	9	19	artifacts	artifact	NOUN
ajst-10656	9	20	.	.	PUNCT
ajst-10656	10	1	keywords	keyword	NOUN
ajst-10656	10	2	:	:	PUNCT
ajst-10656	10	3	image	image	NOUN
ajst-10656	10	4	domain	domain	NOUN
ajst-10656	10	5	,	,	PUNCT
ajst-10656	10	6	unsupervised	unsupervised	ADJ
ajst-10656	10	7	networks	network	NOUN
ajst-10656	10	8	,	,	PUNCT
ajst-10656	10	9	small	small	ADJ
ajst-10656	10	10	samples	sample	NOUN
ajst-10656	10	11	.	.	PUNCT
ajst-10656	11	1	1	1	X
ajst-10656	11	2	.	.	X
ajst-10656	11	3	introduction	introduction	NOUN
ajst-10656	11	4	computed	compute	VERB
ajst-10656	11	5	tomography	tomography	NOUN
ajst-10656	11	6	(	(	PUNCT
ajst-10656	11	7	ct	ct	PROPN
ajst-10656	11	8	)	)	PUNCT
ajst-10656	11	9	is	be	AUX
ajst-10656	11	10	one	one	NUM
ajst-10656	11	11	of	of	ADP
ajst-10656	11	12	the	the	DET
ajst-10656	11	13	most	most	ADV
ajst-10656	11	14	common	common	ADJ
ajst-10656	11	15	aids	aid	NOUN
ajst-10656	11	16	to	to	ADP
ajst-10656	11	17	modern	modern	ADJ
ajst-10656	11	18	medical	medical	ADJ
ajst-10656	11	19	diagnosis	diagnosis	NOUN
ajst-10656	11	20	.	.	PUNCT
ajst-10656	12	1	however	however	ADV
ajst-10656	12	2	,	,	PUNCT
ajst-10656	12	3	due	due	ADP
ajst-10656	12	4	to	to	ADP
ajst-10656	12	5	the	the	DET
ajst-10656	12	6	inherent	inherent	ADJ
ajst-10656	12	7	physical	physical	ADJ
ajst-10656	12	8	properties	property	NOUN
ajst-10656	12	9	of	of	ADP
ajst-10656	12	10	the	the	DET
ajst-10656	12	11	machine	machine	NOUN
ajst-10656	12	12	and	and	CCONJ
ajst-10656	12	13	other	other	ADJ
ajst-10656	12	14	objective	objective	ADJ
ajst-10656	12	15	reasons	reason	NOUN
ajst-10656	12	16	,	,	PUNCT
ajst-10656	12	17	the	the	DET
ajst-10656	12	18	actual	actual	ADJ
ajst-10656	12	19	scanned	scan	VERB
ajst-10656	12	20	ct	ct	NUM
ajst-10656	12	21	images	image	NOUN
ajst-10656	12	22	are	be	AUX
ajst-10656	12	23	often	often	ADV
ajst-10656	12	24	accompanied	accompany	VERB
ajst-10656	12	25	by	by	ADP
ajst-10656	12	26	artifacts	artifact	NOUN
ajst-10656	12	27	,	,	PUNCT
ajst-10656	12	28	such	such	ADJ
ajst-10656	12	29	as	as	ADP
ajst-10656	12	30	metal	metal	NOUN
ajst-10656	12	31	artifacts	artifact	NOUN
ajst-10656	12	32	.	.	PUNCT
ajst-10656	13	1	metal	metal	NOUN
ajst-10656	13	2	artifacts	artifact	NOUN
ajst-10656	13	3	are	be	AUX
ajst-10656	13	4	caused	cause	VERB
ajst-10656	13	5	by	by	ADP
ajst-10656	13	6	severe	severe	ADJ
ajst-10656	13	7	beam	beam	NOUN
ajst-10656	13	8	hardening	hardening	NOUN
ajst-10656	13	9	,	,	PUNCT
ajst-10656	13	10	scattering	scattering	NOUN
ajst-10656	13	11	and	and	CCONJ
ajst-10656	13	12	ray	ray	NOUN
ajst-10656	13	13	starvation	starvation	NOUN
ajst-10656	13	14	when	when	SCONJ
ajst-10656	13	15	x	x	NOUN
ajst-10656	13	16	-	-	NOUN
ajst-10656	13	17	rays	ray	NOUN
ajst-10656	13	18	are	be	AUX
ajst-10656	13	19	scanned	scan	VERB
ajst-10656	13	20	into	into	ADP
ajst-10656	13	21	high	high	ADJ
ajst-10656	13	22	-	-	PUNCT
ajst-10656	13	23	density	density	NOUN
ajst-10656	13	24	metals	metal	NOUN
ajst-10656	13	25	,	,	PUNCT
ajst-10656	13	26	resulting	result	VERB
ajst-10656	13	27	in	in	ADP
ajst-10656	13	28	severe	severe	ADJ
ajst-10656	13	29	black	black	ADJ
ajst-10656	13	30	dark	dark	ADJ
ajst-10656	13	31	bands	band	NOUN
ajst-10656	13	32	and	and	CCONJ
ajst-10656	13	33	rstreak	rstreak	NOUN
ajst-10656	13	34	artifacts	artifact	NOUN
ajst-10656	13	35	in	in	ADP
ajst-10656	13	36	the	the	DET
ajst-10656	13	37	reconstructed	reconstructed	ADJ
ajst-10656	13	38	ct	ct	NUM
ajst-10656	13	39	images	image	NOUN
ajst-10656	13	40	.	.	PUNCT
ajst-10656	14	1	with	with	ADP
ajst-10656	14	2	the	the	DET
ajst-10656	14	3	rapid	rapid	ADJ
ajst-10656	14	4	development	development	NOUN
ajst-10656	14	5	of	of	ADP
ajst-10656	14	6	modern	modern	ADJ
ajst-10656	14	7	medical	medical	ADJ
ajst-10656	14	8	technology	technology	NOUN
ajst-10656	14	9	,	,	PUNCT
ajst-10656	14	10	the	the	DET
ajst-10656	14	11	proportion	proportion	NOUN
ajst-10656	14	12	of	of	ADP
ajst-10656	14	13	patients	patient	NOUN
ajst-10656	14	14	with	with	ADP
ajst-10656	14	15	metal	metal	NOUN
ajst-10656	14	16	implants	implant	NOUN
ajst-10656	14	17	(	(	PUNCT
ajst-10656	14	18	dentures	denture	NOUN
ajst-10656	14	19	,	,	PUNCT
ajst-10656	14	20	cardiac	cardiac	ADJ
ajst-10656	14	21	stents	stent	NOUN
ajst-10656	14	22	,	,	PUNCT
ajst-10656	14	23	bone	bone	NOUN
ajst-10656	14	24	marrow	marrow	NOUN
ajst-10656	14	25	fixation	fixation	NOUN
ajst-10656	14	26	nails	nail	NOUN
ajst-10656	14	27	,	,	PUNCT
ajst-10656	14	28	hip	hip	NOUN
ajst-10656	14	29	prostheses	prosthesis	NOUN
ajst-10656	14	30	,	,	PUNCT
ajst-10656	14	31	etc	etc	X
ajst-10656	14	32	.	.	X
ajst-10656	14	33	)	)	PUNCT
ajst-10656	14	34	is	be	AUX
ajst-10656	14	35	gradually	gradually	ADV
ajst-10656	14	36	increasing	increase	VERB
ajst-10656	14	37	,	,	PUNCT
ajst-10656	14	38	so	so	CCONJ
ajst-10656	14	39	it	it	PRON
ajst-10656	14	40	is	be	AUX
ajst-10656	14	41	very	very	ADV
ajst-10656	14	42	important	important	ADJ
ajst-10656	14	43	to	to	PART
ajst-10656	14	44	reduce	reduce	VERB
ajst-10656	14	45	ct	ct	NUM
ajst-10656	14	46	metal	metal	NOUN
ajst-10656	14	47	artifacts	artifact	NOUN
ajst-10656	14	48	to	to	PART
ajst-10656	14	49	improve	improve	VERB
ajst-10656	14	50	the	the	DET
ajst-10656	14	51	quality	quality	NOUN
ajst-10656	14	52	of	of	ADP
ajst-10656	14	53	ct	ct	NUM
ajst-10656	14	54	images	image	NOUN
ajst-10656	14	55	.	.	PUNCT
ajst-10656	15	1	the	the	DET
ajst-10656	15	2	common	common	ADJ
ajst-10656	15	3	studies	study	NOUN
ajst-10656	15	4	of	of	ADP
ajst-10656	15	5	ct	ct	NUM
ajst-10656	15	6	metal	metal	NOUN
ajst-10656	15	7	artifact	artifact	NOUN
ajst-10656	15	8	reduction	reduction	NOUN
ajst-10656	15	9	(	(	PUNCT
ajst-10656	15	10	mar	mar	PROPN
ajst-10656	15	11	)	)	PUNCT
ajst-10656	15	12	are	be	AUX
ajst-10656	15	13	divided	divide	VERB
ajst-10656	15	14	into	into	ADP
ajst-10656	15	15	three	three	NUM
ajst-10656	15	16	main	main	ADJ
ajst-10656	15	17	categories.the	categories.the	DET
ajst-10656	15	18	first	first	ADJ
ajst-10656	15	19	category	category	NOUN
ajst-10656	15	20	is	be	AUX
ajst-10656	15	21	the	the	DET
ajst-10656	15	22	iterative	iterative	ADJ
ajst-10656	15	23	correction	correction	NOUN
ajst-10656	15	24	algorithm	algorithm	NOUN
ajst-10656	15	25	based	base	VERB
ajst-10656	15	26	on	on	ADP
ajst-10656	15	27	iterative	iterative	ADJ
ajst-10656	15	28	reconstruction	reconstruction	NOUN
ajst-10656	16	1	[	[	X
ajst-10656	16	2	1	1	NUM
ajst-10656	16	3	-	-	SYM
ajst-10656	16	4	3	3	NUM
ajst-10656	16	5	]	]	PUNCT
ajst-10656	16	6	.	.	PUNCT
ajst-10656	17	1	since	since	SCONJ
ajst-10656	17	2	the	the	DET
ajst-10656	17	3	iterative	iterative	NOUN
ajst-10656	17	4	reconstruction	reconstruction	NOUN
ajst-10656	17	5	-	-	PUNCT
ajst-10656	17	6	based	base	VERB
ajst-10656	17	7	iterative	iterative	NOUN
ajst-10656	17	8	correction	correction	NOUN
ajst-10656	17	9	algorithm	algorithm	NOUN
ajst-10656	17	10	relies	rely	VERB
ajst-10656	17	11	on	on	ADP
ajst-10656	17	12	extremely	extremely	ADV
ajst-10656	17	13	high	high	ADJ
ajst-10656	17	14	computing	computing	NOUN
ajst-10656	17	15	power	power	NOUN
ajst-10656	17	16	,	,	PUNCT
ajst-10656	17	17	it	it	PRON
ajst-10656	17	18	is	be	AUX
ajst-10656	17	19	difficult	difficult	ADJ
ajst-10656	17	20	to	to	PART
ajst-10656	17	21	be	be	AUX
ajst-10656	17	22	implemented	implement	VERB
ajst-10656	17	23	into	into	ADP
ajst-10656	17	24	practical	practical	ADJ
ajst-10656	17	25	applications	application	NOUN
ajst-10656	17	26	at	at	ADP
ajst-10656	17	27	the	the	DET
ajst-10656	17	28	current	current	ADJ
ajst-10656	17	29	stage	stage	NOUN
ajst-10656	17	30	.	.	PUNCT
ajst-10656	18	1	the	the	DET
ajst-10656	18	2	second	second	ADJ
ajst-10656	18	3	type	type	NOUN
ajst-10656	18	4	of	of	ADP
ajst-10656	18	5	traditional	traditional	ADJ
ajst-10656	18	6	interpolation	interpolation	NOUN
ajst-10656	18	7	algorithm	algorithm	NOUN
ajst-10656	18	8	is	be	AUX
ajst-10656	18	9	based	base	VERB
ajst-10656	18	10	on	on	ADP
ajst-10656	18	11	filter	filter	PROPN
ajst-10656	18	12	backprojection(fbp).in	backprojection(fbp).in	PROPN
ajst-10656	18	13	1987	1987	NUM
ajst-10656	18	14	,	,	PUNCT
ajst-10656	18	15	kalender	kalender	NOUN
ajst-10656	19	1	[	[	X
ajst-10656	19	2	4	4	X
ajst-10656	19	3	]	]	PUNCT
ajst-10656	19	4	et	et	PROPN
ajst-10656	19	5	al	al	PROPN
ajst-10656	19	6	.	.	PROPN
ajst-10656	19	7	proposed	propose	VERB
ajst-10656	19	8	a	a	DET
ajst-10656	19	9	linear	linear	ADJ
ajst-10656	19	10	interpolation	interpolation	NOUN
ajst-10656	19	11	based	base	VERB
ajst-10656	19	12	metal	metal	NOUN
ajst-10656	19	13	artifact	artifact	NOUN
ajst-10656	19	14	reduction	reduction	NOUN
ajst-10656	19	15	algorithm	algorithm	NOUN
ajst-10656	19	16	(	(	PUNCT
ajst-10656	19	17	li	li	PROPN
ajst-10656	19	18	-	-	ADJ
ajst-10656	19	19	mar).the	mar).the	PRON
ajst-10656	19	20	li	li	PROPN
ajst-10656	19	21	-	-	PROPN
ajst-10656	19	22	mar	mar	PROPN
ajst-10656	19	23	algorithm	algorithm	NOUN
ajst-10656	19	24	can	can	AUX
ajst-10656	19	25	reduce	reduce	VERB
ajst-10656	19	26	most	most	ADJ
ajst-10656	19	27	of	of	ADP
ajst-10656	19	28	the	the	DET
ajst-10656	19	29	structural	structural	ADJ
ajst-10656	19	30	stripes	stripe	NOUN
ajst-10656	19	31	artifacts	artifact	NOUN
ajst-10656	19	32	,	,	PUNCT
ajst-10656	19	33	but	but	CCONJ
ajst-10656	19	34	due	due	ADP
ajst-10656	19	35	to	to	ADP
ajst-10656	19	36	the	the	DET
ajst-10656	19	37	unsatisfactory	unsatisfactory	ADJ
ajst-10656	19	38	interpolation	interpolation	NOUN
ajst-10656	19	39	effect	effect	NOUN
ajst-10656	19	40	,	,	PUNCT
ajst-10656	19	41	it	it	PRON
ajst-10656	19	42	introduces	introduce	VERB
ajst-10656	19	43	more	more	ADV
ajst-10656	19	44	serious	serious	ADJ
ajst-10656	19	45	secondary	secondary	ADJ
ajst-10656	19	46	artifacts.in	artifacts.in	NOUN
ajst-10656	19	47	2009	2009	NUM
ajst-10656	19	48	,	,	PUNCT
ajst-10656	19	49	e.	e.	PROPN
ajst-10656	19	50	meyer	meyer	PROPN
ajst-10656	20	1	[	[	X
ajst-10656	20	2	5	5	NUM
ajst-10656	20	3	]	]	PUNCT
ajst-10656	20	4	et	et	PROPN
ajst-10656	20	5	al	al	PROPN
ajst-10656	20	6	.	.	PROPN
ajst-10656	20	7	proposed	propose	VERB
ajst-10656	20	8	the	the	DET
ajst-10656	20	9	normalized	normalize	VERB
ajst-10656	20	10	metal	metal	NOUN
ajst-10656	20	11	artifact	artifact	NOUN
ajst-10656	20	12	reduction	reduction	NOUN
ajst-10656	20	13	(	(	PUNCT
ajst-10656	20	14	nmar	nmar	NOUN
ajst-10656	20	15	)	)	PUNCT
ajst-10656	20	16	algorithm	algorithm	NOUN
ajst-10656	20	17	based	base	VERB
ajst-10656	20	18	on	on	ADP
ajst-10656	20	19	a	a	DET
ajst-10656	20	20	priori	priori	ADJ
ajst-10656	20	21	image	image	NOUN
ajst-10656	20	22	normalization	normalization	NOUN
ajst-10656	20	23	,	,	PUNCT
ajst-10656	20	24	which	which	PRON
ajst-10656	20	25	mitigates	mitigate	VERB
ajst-10656	20	26	the	the	DET
ajst-10656	20	27	problem	problem	NOUN
ajst-10656	20	28	of	of	ADP
ajst-10656	20	29	unsatisfactory	unsatisfactory	ADJ
ajst-10656	20	30	interpolation	interpolation	NOUN
ajst-10656	20	31	to	to	ADP
ajst-10656	20	32	a	a	DET
ajst-10656	20	33	certain	certain	ADJ
ajst-10656	20	34	extent	extent	NOUN
ajst-10656	20	35	by	by	ADP
ajst-10656	20	36	adding	add	VERB
ajst-10656	20	37	the	the	DET
ajst-10656	20	38	process	process	NOUN
ajst-10656	20	39	of	of	ADP
ajst-10656	20	40	normalized	normalized	ADJ
ajst-10656	20	41	smoothing	smoothing	NOUN
ajst-10656	20	42	,	,	PUNCT
ajst-10656	20	43	thus	thus	ADV
ajst-10656	20	44	effectively	effectively	ADV
ajst-10656	20	45	mitigating	mitigate	VERB
ajst-10656	20	46	the	the	DET
ajst-10656	20	47	introduction	introduction	NOUN
ajst-10656	20	48	of	of	ADP
ajst-10656	20	49	secondary	secondary	ADJ
ajst-10656	20	50	artifacts	artifact	NOUN
ajst-10656	20	51	.	.	PUNCT
ajst-10656	21	1	the	the	DET
ajst-10656	21	2	third	third	ADJ
ajst-10656	21	3	category	category	NOUN
ajst-10656	21	4	is	be	AUX
ajst-10656	21	5	deep	deep	ADJ
ajst-10656	21	6	learning	learning	NOUN
ajst-10656	21	7	-	-	PUNCT
ajst-10656	21	8	based	base	VERB
ajst-10656	21	9	metal	metal	NOUN
ajst-10656	21	10	artifact	artifact	NOUN
ajst-10656	21	11	reduction	reduction	NOUN
ajst-10656	21	12	algorithms.in	algorithms.in	NUM
ajst-10656	21	13	2017	2017	NUM
ajst-10656	21	14	,	,	PUNCT
ajst-10656	21	15	park	park	NOUN
ajst-10656	21	16	[	[	X
ajst-10656	21	17	6	6	NUM
ajst-10656	21	18	]	]	PUNCT
ajst-10656	21	19	et	et	PROPN
ajst-10656	21	20	al	al	PROPN
ajst-10656	21	21	.	.	PROPN
ajst-10656	21	22	proposed	propose	VERB
ajst-10656	21	23	a	a	DET
ajst-10656	21	24	unet	unet	NOUN
ajst-10656	21	25	-	-	PUNCT
ajst-10656	21	26	based	base	VERB
ajst-10656	21	27	metal	metal	NOUN
ajst-10656	21	28	artifact	artifact	NOUN
ajst-10656	21	29	reduction	reduction	NOUN
ajst-10656	21	30	algorithm.in	algorithm.in	PROPN
ajst-10656	21	31	2017	2017	NUM
ajst-10656	21	32	,	,	PUNCT
ajst-10656	21	33	zhang	zhang	PROPN
ajst-10656	21	34	and	and	CCONJ
ajst-10656	21	35	yu	yu	PRON
ajst-10656	22	1	[	[	X
ajst-10656	22	2	7	7	NUM
ajst-10656	22	3	]	]	PUNCT
ajst-10656	22	4	proposed	propose	VERB
ajst-10656	22	5	a	a	DET
ajst-10656	22	6	metal	metal	NOUN
ajst-10656	22	7	artifact	artifact	NOUN
ajst-10656	22	8	reduction	reduction	NOUN
ajst-10656	22	9	algorithm	algorithm	NOUN
ajst-10656	22	10	based	base	VERB
ajst-10656	22	11	on	on	ADP
ajst-10656	22	12	convolutional	convolutional	ADJ
ajst-10656	22	13	neural	neural	ADJ
ajst-10656	22	14	network	network	NOUN
ajst-10656	22	15	(	(	PUNCT
ajst-10656	22	16	cnn	cnn	PROPN
ajst-10656	22	17	-	-	PUNCT
ajst-10656	22	18	mar).in	mar).in	PROPN
ajst-10656	22	19	2019	2019	NUM
ajst-10656	22	20	,	,	PUNCT
ajst-10656	22	21	lin	lin	PROPN
ajst-10656	23	1	[	[	X
ajst-10656	23	2	8	8	NUM
ajst-10656	23	3	]	]	PUNCT
ajst-10656	23	4	et	et	PROPN
ajst-10656	23	5	al	al	PROPN
ajst-10656	23	6	.	.	PROPN
ajst-10656	23	7	proposed	propose	VERB
ajst-10656	23	8	the	the	DET
ajst-10656	23	9	dudonet	dudonet	NOUN
ajst-10656	23	10	dual	dual	ADJ
ajst-10656	23	11	-	-	PUNCT
ajst-10656	23	12	domain	domain	NOUN
ajst-10656	23	13	mar	mar	PROPN
ajst-10656	23	14	network	network	NOUN
ajst-10656	23	15	model	model	NOUN
ajst-10656	23	16	,	,	PUNCT
ajst-10656	23	17	et	et	PROPN
ajst-10656	23	18	al	al	PROPN
ajst-10656	24	1	[	[	X
ajst-10656	24	2	9	9	NUM
ajst-10656	24	3	-	-	SYM
ajst-10656	24	4	11	11	NUM
ajst-10656	24	5	]	]	PUNCT
ajst-10656	24	6	.	.	PUNCT
ajst-10656	25	1	all	all	PRON
ajst-10656	25	2	of	of	ADP
ajst-10656	25	3	the	the	DET
ajst-10656	25	4	above	above	ADJ
ajst-10656	25	5	methods	method	NOUN
ajst-10656	25	6	are	be	AUX
ajst-10656	25	7	supervised	supervised	ADJ
ajst-10656	25	8	networks	network	NOUN
ajst-10656	25	9	,	,	PUNCT
ajst-10656	25	10	and	and	CCONJ
ajst-10656	25	11	all	all	PRON
ajst-10656	25	12	of	of	ADP
ajst-10656	25	13	the	the	DET
ajst-10656	25	14	above	above	ADJ
ajst-10656	25	15	networks	network	NOUN
ajst-10656	25	16	use	use	VERB
ajst-10656	25	17	simulated	simulate	VERB
ajst-10656	25	18	paired	pair	VERB
ajst-10656	25	19	data	datum	NOUN
ajst-10656	25	20	for	for	ADP
ajst-10656	25	21	network	network	NOUN
ajst-10656	25	22	training	training	NOUN
ajst-10656	25	23	,	,	PUNCT
ajst-10656	25	24	which	which	PRON
ajst-10656	25	25	leads	lead	VERB
ajst-10656	25	26	to	to	ADP
ajst-10656	25	27	the	the	DET
ajst-10656	25	28	inability	inability	NOUN
ajst-10656	25	29	to	to	PART
ajst-10656	25	30	be	be	AUX
ajst-10656	25	31	directly	directly	ADV
ajst-10656	25	32	applied	apply	VERB
ajst-10656	25	33	to	to	ADP
ajst-10656	25	34	actual	actual	ADJ
ajst-10656	25	35	clinics	clinic	NOUN
ajst-10656	25	36	.	.	PUNCT
ajst-10656	26	1	this	this	DET
ajst-10656	26	2	paper	paper	NOUN
ajst-10656	26	3	is	be	AUX
ajst-10656	26	4	an	an	DET
ajst-10656	26	5	improved	improve	VERB
ajst-10656	26	6	unsupervised	unsupervised	ADJ
ajst-10656	26	7	network	network	NOUN
ajst-10656	26	8	model	model	NOUN
ajst-10656	26	9	based	base	VERB
ajst-10656	26	10	on	on	ADP
ajst-10656	26	11	cyclegan	cyclegan	NOUN
ajst-10656	26	12	[	[	X
ajst-10656	26	13	12	12	NUM
ajst-10656	26	14	]	]	PUNCT
ajst-10656	26	15	network	network	NOUN
ajst-10656	26	16	modeling	modeling	NOUN
ajst-10656	26	17	framework	framework	NOUN
ajst-10656	26	18	,	,	PUNCT
ajst-10656	26	19	which	which	PRON
ajst-10656	26	20	can	can	AUX
ajst-10656	26	21	directly	directly	ADV
ajst-10656	26	22	use	use	VERB
ajst-10656	26	23	unpaired	unpaired	ADJ
ajst-10656	26	24	real	real	ADJ
ajst-10656	26	25	ct	ct	NUM
ajst-10656	26	26	image	image	NOUN
ajst-10656	26	27	data	datum	NOUN
ajst-10656	26	28	to	to	PART
ajst-10656	26	29	train	train	VERB
ajst-10656	26	30	the	the	DET
ajst-10656	26	31	network	network	NOUN
ajst-10656	26	32	for	for	ADP
ajst-10656	26	33	better	well	ADJ
ajst-10656	26	34	clinical	clinical	ADJ
ajst-10656	26	35	applications	application	NOUN
ajst-10656	26	36	.	.	PUNCT
ajst-10656	27	1	the	the	DET
ajst-10656	27	2	generator	generator	NOUN
ajst-10656	27	3	of	of	ADP
ajst-10656	27	4	this	this	DET
ajst-10656	27	5	model	model	NOUN
ajst-10656	27	6	adopts	adopt	VERB
ajst-10656	27	7	the	the	DET
ajst-10656	27	8	u	u	ADJ
ajst-10656	27	9	-	-	ADJ
ajst-10656	27	10	net	net	ADJ
ajst-10656	27	11	network	network	NOUN
ajst-10656	27	12	with	with	ADP
ajst-10656	27	13	residual	residual	ADJ
ajst-10656	27	14	connectivity	connectivity	NOUN
ajst-10656	27	15	and	and	CCONJ
ajst-10656	27	16	attention	attention	NOUN
ajst-10656	27	17	mechanism	mechanism	NOUN
ajst-10656	27	18	,	,	PUNCT
ajst-10656	27	19	which	which	PRON
ajst-10656	27	20	is	be	AUX
ajst-10656	27	21	better	well	ADV
ajst-10656	27	22	adapted	adapt	VERB
ajst-10656	27	23	to	to	ADP
ajst-10656	27	24	small	small	ADJ
ajst-10656	27	25	-	-	PUNCT
ajst-10656	27	26	sample	sample	NOUN
ajst-10656	27	27	training	training	NOUN
ajst-10656	27	28	,	,	PUNCT
ajst-10656	27	29	while	while	SCONJ
ajst-10656	27	30	the	the	DET
ajst-10656	27	31	discriminator	discriminator	NOUN
ajst-10656	27	32	follows	follow	VERB
ajst-10656	27	33	the	the	DET
ajst-10656	27	34	discriminator	discriminator	NOUN
ajst-10656	27	35	of	of	ADP
ajst-10656	27	36	cyclegan	cyclegan	NOUN
ajst-10656	27	37	,	,	PUNCT
ajst-10656	27	38	which	which	PRON
ajst-10656	27	39	has	have	AUX
ajst-10656	27	40	been	be	AUX
ajst-10656	27	41	proved	prove	VERB
ajst-10656	27	42	to	to	PART
ajst-10656	27	43	be	be	AUX
ajst-10656	27	44	excellent	excellent	ADJ
ajst-10656	27	45	in	in	ADP
ajst-10656	27	46	the	the	DET
ajst-10656	27	47	article[12	article[12	NOUN
ajst-10656	27	48	]	]	X
ajst-10656	27	49	.	.	PUNCT
ajst-10656	28	1	the	the	DET
ajst-10656	28	2	model	model	NOUN
ajst-10656	28	3	uses	use	VERB
ajst-10656	28	4	real	real	ADJ
ajst-10656	28	5	ct	ct	NUM
ajst-10656	28	6	image	image	NOUN
ajst-10656	28	7	data	datum	NOUN
ajst-10656	28	8	as	as	ADP
ajst-10656	28	9	the	the	DET
ajst-10656	28	10	dataset	dataset	NOUN
ajst-10656	28	11	,	,	PUNCT
ajst-10656	28	12	and	and	CCONJ
ajst-10656	28	13	the	the	DET
ajst-10656	28	14	test	test	NOUN
ajst-10656	28	15	results	result	NOUN
ajst-10656	28	16	show	show	VERB
ajst-10656	28	17	that	that	SCONJ
ajst-10656	28	18	the	the	DET
ajst-10656	28	19	model	model	NOUN
ajst-10656	28	20	can	can	AUX
ajst-10656	28	21	effectively	effectively	ADV
ajst-10656	28	22	reduce	reduce	VERB
ajst-10656	28	23	metal	metal	NOUN
ajst-10656	28	24	artifacts	artifact	NOUN
ajst-10656	28	25	.	.	PUNCT
ajst-10656	29	1	2	2	X
ajst-10656	29	2	.	.	NUM
ajst-10656	29	3	proposed	propose	VERB
ajst-10656	29	4	method	method	NOUN
ajst-10656	29	5	this	this	DET
ajst-10656	29	6	model	model	NOUN
ajst-10656	29	7	uses	use	VERB
ajst-10656	29	8	cyclegan	cyclegan	NOUN
ajst-10656	29	9	as	as	ADP
ajst-10656	29	10	the	the	DET
ajst-10656	29	11	base	base	NOUN
ajst-10656	29	12	model	model	NOUN
ajst-10656	29	13	architecture	architecture	NOUN
ajst-10656	29	14	,	,	PUNCT
ajst-10656	29	15	which	which	PRON
ajst-10656	29	16	divides	divide	VERB
ajst-10656	29	17	metal	metal	NOUN
ajst-10656	29	18	artifact	artifact	NOUN
ajst-10656	29	19	-	-	PUNCT
ajst-10656	29	20	affected	affect	VERB
ajst-10656	29	21	images	image	NOUN
ajst-10656	29	22	and	and	CCONJ
ajst-10656	29	23	artifact	artifact	NOUN
ajst-10656	29	24	-	-	PUNCT
ajst-10656	29	25	free	free	ADJ
ajst-10656	29	26	images	image	NOUN
ajst-10656	29	27	into	into	ADP
ajst-10656	29	28	two	two	NUM
ajst-10656	29	29	different	different	ADJ
ajst-10656	29	30	styles	style	NOUN
ajst-10656	29	31	of	of	ADP
ajst-10656	29	32	samples	sample	NOUN
ajst-10656	29	33	,	,	PUNCT
ajst-10656	29	34	allowing	allow	VERB
ajst-10656	29	35	the	the	DET
ajst-10656	29	36	model	model	NOUN
ajst-10656	29	37	to	to	PART
ajst-10656	29	38	perform	perform	VERB
ajst-10656	29	39	the	the	DET
ajst-10656	29	40	task	task	NOUN
ajst-10656	29	41	of	of	ADP
ajst-10656	29	42	style	style	NOUN
ajst-10656	29	43	migration	migration	NOUN
ajst-10656	29	44	from	from	ADP
ajst-10656	29	45	artifactaffected	artifactaffecte	VERB
ajst-10656	29	46	images	image	NOUN
ajst-10656	29	47	to	to	ADP
ajst-10656	29	48	artifact	artifact	NOUN
ajst-10656	29	49	-	-	PUNCT
ajst-10656	29	50	free	free	ADJ
ajst-10656	29	51	images	image	NOUN
ajst-10656	29	52	.	.	PUNCT
ajst-10656	30	1	the	the	DET
ajst-10656	30	2	original	original	ADJ
ajst-10656	30	3	cyclegan	cyclegan	NOUN
ajst-10656	30	4	network	network	NOUN
ajst-10656	30	5	model	model	NOUN
ajst-10656	30	6	was	be	AUX
ajst-10656	30	7	designed	design	VERB
ajst-10656	30	8	based	base	VERB
ajst-10656	30	9	on	on	ADP
ajst-10656	30	10	traditional	traditional	ADJ
ajst-10656	30	11	images	image	NOUN
ajst-10656	30	12	.	.	PUNCT
ajst-10656	31	1	the	the	DET
ajst-10656	31	2	information	information	NOUN
ajst-10656	31	3	content	content	NOUN
ajst-10656	31	4	and	and	CCONJ
ajst-10656	31	5	information	information	NOUN
ajst-10656	31	6	density	density	NOUN
ajst-10656	31	7	of	of	ADP
ajst-10656	31	8	traditional	traditional	ADJ
ajst-10656	31	9	images	image	NOUN
ajst-10656	31	10	are	be	AUX
ajst-10656	31	11	much	much	ADV
ajst-10656	31	12	higher	high	ADJ
ajst-10656	31	13	than	than	ADP
ajst-10656	31	14	that	that	PRON
ajst-10656	31	15	of	of	ADP
ajst-10656	31	16	medical	medical	ADJ
ajst-10656	31	17	ct	ct	PROPN
ajst-10656	31	18	images	image	NOUN
ajst-10656	31	19	and	and	CCONJ
ajst-10656	31	20	the	the	DET
ajst-10656	31	21	number	number	NOUN
ajst-10656	31	22	of	of	ADP
ajst-10656	31	23	samples	sample	NOUN
ajst-10656	31	24	is	be	AUX
ajst-10656	31	25	sufficient	sufficient	ADJ
ajst-10656	31	26	,	,	PUNCT
ajst-10656	31	27	while	while	SCONJ
ajst-10656	31	28	medical	medical	ADJ
ajst-10656	31	29	ct	ct	PROPN
ajst-10656	31	30	images	image	NOUN
ajst-10656	31	31	are	be	AUX
ajst-10656	31	32	simpler	simple	ADJ
ajst-10656	31	33	in	in	ADP
ajst-10656	31	34	structure	structure	NOUN
ajst-10656	31	35	and	and	CCONJ
ajst-10656	31	36	semantics	semantic	NOUN
ajst-10656	31	37	,	,	PUNCT
ajst-10656	31	38	and	and	CCONJ
ajst-10656	31	39	the	the	DET
ajst-10656	31	40	number	number	NOUN
ajst-10656	31	41	of	of	ADP
ajst-10656	31	42	samples	sample	NOUN
ajst-10656	31	43	is	be	AUX
ajst-10656	31	44	small	small	ADJ
ajst-10656	31	45	.	.	PUNCT
ajst-10656	32	1	therefore	therefore	ADV
ajst-10656	32	2	the	the	DET
ajst-10656	32	3	ct	ct	PROPN
ajst-10656	32	4	metal	metal	NOUN
ajst-10656	32	5	artifact	artifact	NOUN
ajst-10656	32	6	139	139	NUM
ajst-10656	32	7	reduction	reduction	NOUN
ajst-10656	32	8	task	task	NOUN
ajst-10656	32	9	is	be	AUX
ajst-10656	32	10	prone	prone	ADJ
ajst-10656	32	11	to	to	ADP
ajst-10656	32	12	overfitting	overfitte	VERB
ajst-10656	32	13	by	by	ADP
ajst-10656	32	14	directly	directly	ADV
ajst-10656	32	15	using	use	VERB
ajst-10656	32	16	the	the	DET
ajst-10656	32	17	generator	generator	NOUN
ajst-10656	32	18	of	of	ADP
ajst-10656	32	19	the	the	DET
ajst-10656	32	20	cyclegan	cyclegan	NOUN
ajst-10656	32	21	network	network	NOUN
ajst-10656	32	22	model	model	NOUN
ajst-10656	32	23	,	,	PUNCT
ajst-10656	32	24	so	so	SCONJ
ajst-10656	32	25	this	this	DET
ajst-10656	32	26	model	model	NOUN
ajst-10656	32	27	is	be	AUX
ajst-10656	32	28	designed	design	VERB
ajst-10656	32	29	to	to	PART
ajst-10656	32	30	be	be	AUX
ajst-10656	32	31	more	more	ADV
ajst-10656	32	32	suitable	suitable	ADJ
ajst-10656	32	33	for	for	ADP
ajst-10656	32	34	the	the	DET
ajst-10656	32	35	small	small	ADJ
ajst-10656	32	36	sample	sample	NOUN
ajst-10656	32	37	features	feature	NOUN
ajst-10656	32	38	of	of	ADP
ajst-10656	32	39	medical	medical	ADJ
ajst-10656	32	40	images	image	NOUN
ajst-10656	32	41	.	.	PUNCT
ajst-10656	33	1	2.1	2.1	NUM
ajst-10656	33	2	.	.	PUNCT
ajst-10656	33	3	overview	overview	NOUN
ajst-10656	33	4	of	of	ADP
ajst-10656	33	5	the	the	DET
ajst-10656	33	6	overall	overall	ADJ
ajst-10656	33	7	network	network	NOUN
ajst-10656	33	8	model	model	NOUN
ajst-10656	33	9	architecture	architecture	NOUN
ajst-10656	33	10	figure	figure	NOUN
ajst-10656	33	11	1	1	NUM
ajst-10656	33	12	.	.	PUNCT
ajst-10656	34	1	overall	overall	ADJ
ajst-10656	34	2	network	network	NOUN
ajst-10656	34	3	model	model	NOUN
ajst-10656	34	4	architecture	architecture	NOUN
ajst-10656	34	5	cyclegan	cyclegan	NOUN
ajst-10656	34	6	is	be	AUX
ajst-10656	34	7	an	an	DET
ajst-10656	34	8	unpaired	unpaired	ADJ
ajst-10656	34	9	image	image	NOUN
ajst-10656	34	10	style	style	NOUN
ajst-10656	34	11	transformation	transformation	NOUN
ajst-10656	34	12	model	model	NOUN
ajst-10656	34	13	designed	design	VERB
ajst-10656	34	14	to	to	PART
ajst-10656	34	15	transform	transform	VERB
ajst-10656	34	16	images	image	NOUN
ajst-10656	34	17	in	in	ADP
ajst-10656	34	18	one	one	NUM
ajst-10656	34	19	image	image	NOUN
ajst-10656	34	20	domain	domain	NOUN
ajst-10656	34	21	to	to	ADP
ajst-10656	34	22	images	image	NOUN
ajst-10656	34	23	in	in	ADP
ajst-10656	34	24	another	another	DET
ajst-10656	34	25	image	image	NOUN
ajst-10656	34	26	domain	domain	NOUN
ajst-10656	34	27	.	.	PUNCT
ajst-10656	35	1	unlike	unlike	ADP
ajst-10656	35	2	traditional	traditional	ADJ
ajst-10656	35	3	supervised	supervised	ADJ
ajst-10656	35	4	image	image	NOUN
ajst-10656	35	5	style	style	NOUN
ajst-10656	35	6	migration	migration	NOUN
ajst-10656	35	7	methods	method	NOUN
ajst-10656	35	8	,	,	PUNCT
ajst-10656	35	9	cyclegan	cyclegan	PROPN
ajst-10656	35	10	does	do	AUX
ajst-10656	35	11	not	not	PART
ajst-10656	35	12	require	require	VERB
ajst-10656	35	13	paired	pair	VERB
ajst-10656	35	14	images	image	NOUN
ajst-10656	35	15	and	and	CCONJ
ajst-10656	35	16	can	can	AUX
ajst-10656	35	17	learn	learn	VERB
ajst-10656	35	18	the	the	DET
ajst-10656	35	19	corresponding	correspond	VERB
ajst-10656	35	20	mappings	mapping	NOUN
ajst-10656	35	21	from	from	ADP
ajst-10656	35	22	unpaired	unpaired	ADJ
ajst-10656	35	23	images.the	images.the	DET
ajst-10656	35	24	architecture	architecture	NOUN
ajst-10656	35	25	of	of	ADP
ajst-10656	35	26	cyclegan	cyclegan	NOUN
ajst-10656	35	27	consists	consist	VERB
ajst-10656	35	28	of	of	ADP
ajst-10656	35	29	two	two	NUM
ajst-10656	35	30	generators	generator	NOUN
ajst-10656	35	31	and	and	CCONJ
ajst-10656	35	32	two	two	NUM
ajst-10656	35	33	discriminators	discriminator	NOUN
ajst-10656	35	34	.	.	PUNCT
ajst-10656	36	1	where	where	SCONJ
ajst-10656	36	2	generator	generator	PROPN
ajst-10656	36	3	ga->b	ga->b	PROPN
ajst-10656	36	4	converts	convert	VERB
ajst-10656	36	5	an	an	DET
ajst-10656	36	6	image	image	NOUN
ajst-10656	36	7	from	from	ADP
ajst-10656	36	8	domain	domain	NOUN
ajst-10656	36	9	a	a	PRON
ajst-10656	36	10	to	to	ADP
ajst-10656	36	11	domain	domain	NOUN
ajst-10656	36	12	b	b	PROPN
ajst-10656	36	13	,	,	PUNCT
ajst-10656	36	14	generator	generator	NOUN
ajst-10656	36	15	gb->a	gb->a	PROPN
ajst-10656	36	16	converts	convert	VERB
ajst-10656	36	17	an	an	DET
ajst-10656	36	18	image	image	NOUN
ajst-10656	36	19	from	from	ADP
ajst-10656	36	20	domain	domain	NOUN
ajst-10656	36	21	b	b	NOUN
ajst-10656	36	22	to	to	PART
ajst-10656	36	23	domain	domain	VERB
ajst-10656	36	24	a	a	PRON
ajst-10656	36	25	,	,	PUNCT
ajst-10656	36	26	and	and	CCONJ
ajst-10656	36	27	the	the	DET
ajst-10656	36	28	discriminators	discriminator	NOUN
ajst-10656	36	29	are	be	AUX
ajst-10656	36	30	used	use	VERB
ajst-10656	36	31	to	to	PART
ajst-10656	36	32	determine	determine	VERB
ajst-10656	36	33	whether	whether	SCONJ
ajst-10656	36	34	the	the	DET
ajst-10656	36	35	generated	generate	VERB
ajst-10656	36	36	image	image	NOUN
ajst-10656	36	37	is	be	AUX
ajst-10656	36	38	true	true	ADJ
ajst-10656	36	39	or	or	CCONJ
ajst-10656	36	40	not.cyclegan	not.cyclegan	NOUN
ajst-10656	36	41	uses	use	VERB
ajst-10656	36	42	adversarial	adversarial	ADJ
ajst-10656	36	43	training	training	NOUN
ajst-10656	36	44	and	and	CCONJ
ajst-10656	36	45	cyclic	cyclic	ADJ
ajst-10656	36	46	consistency	consistency	NOUN
ajst-10656	36	47	loss	loss	NOUN
ajst-10656	36	48	to	to	PART
ajst-10656	36	49	learn	learn	VERB
ajst-10656	36	50	the	the	DET
ajst-10656	36	51	mapping	mapping	NOUN
ajst-10656	36	52	between	between	ADP
ajst-10656	36	53	images	image	NOUN
ajst-10656	36	54	while	while	SCONJ
ajst-10656	36	55	maintaining	maintain	VERB
ajst-10656	36	56	the	the	DET
ajst-10656	36	57	semantic	semantic	ADJ
ajst-10656	36	58	information	information	NOUN
ajst-10656	36	59	in	in	ADP
ajst-10656	36	60	the	the	DET
ajst-10656	36	61	original	original	ADJ
ajst-10656	36	62	image	image	NOUN
ajst-10656	36	63	.	.	PUNCT
ajst-10656	37	1	2.1.1	2.1.1	X
ajst-10656	37	2	.	.	PUNCT
ajst-10656	37	3	generator	generator	PROPN
ajst-10656	37	4	u	u	NOUN
ajst-10656	37	5	-	-	PROPN
ajst-10656	37	6	net[13	net[13	NOUN
ajst-10656	37	7	]	]	PUNCT
ajst-10656	37	8	network	network	NOUN
ajst-10656	37	9	architecture	architecture	NOUN
ajst-10656	37	10	is	be	AUX
ajst-10656	37	11	one	one	NUM
ajst-10656	37	12	of	of	ADP
ajst-10656	37	13	the	the	DET
ajst-10656	37	14	most	most	ADV
ajst-10656	37	15	commonly	commonly	ADV
ajst-10656	37	16	used	use	VERB
ajst-10656	37	17	network	network	NOUN
ajst-10656	37	18	architectures	architecture	NOUN
ajst-10656	37	19	for	for	ADP
ajst-10656	37	20	medical	medical	ADJ
ajst-10656	37	21	image	image	NOUN
ajst-10656	37	22	processing	processing	NOUN
ajst-10656	37	23	,	,	PUNCT
ajst-10656	37	24	which	which	PRON
ajst-10656	37	25	adopts	adopt	VERB
ajst-10656	37	26	an	an	DET
ajst-10656	37	27	encoder	encoder	NOUN
ajst-10656	37	28	-	-	PUNCT
ajst-10656	37	29	decoder	decoder	NOUN
ajst-10656	37	30	architecture	architecture	NOUN
ajst-10656	37	31	with	with	ADP
ajst-10656	37	32	a	a	DET
ajst-10656	37	33	symmetric	symmetric	ADJ
ajst-10656	37	34	u	u	NOUN
ajst-10656	37	35	-	-	NOUN
ajst-10656	37	36	shape	shape	VERB
ajst-10656	37	37	structure.the	structure.the	DET
ajst-10656	37	38	basic	basic	ADJ
ajst-10656	37	39	principle	principle	NOUN
ajst-10656	37	40	of	of	ADP
ajst-10656	37	41	unet	unet	NOUN
ajst-10656	37	42	is	be	AUX
ajst-10656	37	43	to	to	PART
ajst-10656	37	44	realize	realize	VERB
ajst-10656	37	45	the	the	DET
ajst-10656	37	46	fine	fine	ADJ
ajst-10656	37	47	extraction	extraction	NOUN
ajst-10656	37	48	and	and	CCONJ
ajst-10656	37	49	reconstruction	reconstruction	NOUN
ajst-10656	37	50	of	of	ADP
ajst-10656	37	51	features	feature	NOUN
ajst-10656	37	52	through	through	ADP
ajst-10656	37	53	the	the	DET
ajst-10656	37	54	down	down	ADV
ajst-10656	37	55	-	-	PUNCT
ajst-10656	37	56	sampling	sample	VERB
ajst-10656	37	57	and	and	CCONJ
ajst-10656	37	58	up	up	ADV
ajst-10656	37	59	-	-	PUNCT
ajst-10656	37	60	sampling	sample	VERB
ajst-10656	37	61	operations	operation	NOUN
ajst-10656	37	62	,	,	PUNCT
ajst-10656	37	63	and	and	CCONJ
ajst-10656	37	64	to	to	PART
ajst-10656	37	65	fuse	fuse	VERB
ajst-10656	37	66	the	the	DET
ajst-10656	37	67	information	information	NOUN
ajst-10656	37	68	of	of	ADP
ajst-10656	37	69	the	the	DET
ajst-10656	37	70	up	up	NOUN
ajst-10656	37	71	and	and	CCONJ
ajst-10656	37	72	downsampling	downsample	VERB
ajst-10656	37	73	processes	process	NOUN
ajst-10656	37	74	through	through	ADP
ajst-10656	37	75	the	the	DET
ajst-10656	37	76	jump	jump	NOUN
ajst-10656	37	77	connection	connection	NOUN
ajst-10656	37	78	.	.	PUNCT
ajst-10656	38	1	in	in	ADP
ajst-10656	38	2	the	the	DET
ajst-10656	38	3	down	down	ADV
ajst-10656	38	4	-	-	PUNCT
ajst-10656	38	5	sampling	sample	VERB
ajst-10656	38	6	process	process	NOUN
ajst-10656	38	7	,	,	PUNCT
ajst-10656	38	8	u	u	NOUN
ajst-10656	38	9	-	-	NOUN
ajst-10656	38	10	net	net	NOUN
ajst-10656	38	11	uses	use	VERB
ajst-10656	38	12	a	a	DET
ajst-10656	38	13	convolutional	convolutional	ADJ
ajst-10656	38	14	kernel	kernel	NOUN
ajst-10656	38	15	with	with	ADP
ajst-10656	38	16	stride	stride	NOUN
ajst-10656	38	17	2	2	NUM
ajst-10656	38	18	to	to	PART
ajst-10656	38	19	realize	realize	VERB
ajst-10656	38	20	the	the	DET
ajst-10656	38	21	compression	compression	NOUN
ajst-10656	38	22	of	of	ADP
ajst-10656	38	23	the	the	DET
ajst-10656	38	24	feature	feature	NOUN
ajst-10656	38	25	map	map	NOUN
ajst-10656	38	26	,	,	PUNCT
ajst-10656	38	27	which	which	PRON
ajst-10656	38	28	not	not	PART
ajst-10656	38	29	only	only	ADV
ajst-10656	38	30	reduces	reduce	VERB
ajst-10656	38	31	the	the	DET
ajst-10656	38	32	size	size	NOUN
ajst-10656	38	33	of	of	ADP
ajst-10656	38	34	the	the	DET
ajst-10656	38	35	feature	feature	NOUN
ajst-10656	38	36	map	map	NOUN
ajst-10656	38	37	and	and	CCONJ
ajst-10656	38	38	extracts	extract	NOUN
ajst-10656	38	39	more	more	ADJ
ajst-10656	38	40	abstract	abstract	ADJ
ajst-10656	38	41	feature	feature	NOUN
ajst-10656	38	42	information	information	NOUN
ajst-10656	38	43	,	,	PUNCT
ajst-10656	38	44	but	but	CCONJ
ajst-10656	38	45	also	also	ADV
ajst-10656	38	46	effectively	effectively	ADV
ajst-10656	38	47	reduces	reduce	VERB
ajst-10656	38	48	the	the	DET
ajst-10656	38	49	amount	amount	NOUN
ajst-10656	38	50	of	of	ADP
ajst-10656	38	51	computation	computation	NOUN
ajst-10656	38	52	and	and	CCONJ
ajst-10656	38	53	memory	memory	NOUN
ajst-10656	38	54	consumption	consumption	NOUN
ajst-10656	38	55	.	.	PUNCT
ajst-10656	39	1	during	during	ADP
ajst-10656	39	2	the	the	DET
ajst-10656	39	3	upsampling	upsampling	NOUN
ajst-10656	39	4	process	process	NOUN
ajst-10656	39	5	,	,	PUNCT
ajst-10656	39	6	u	u	NOUN
ajst-10656	39	7	-	-	NOUN
ajst-10656	39	8	net	net	NOUN
ajst-10656	39	9	uses	use	VERB
ajst-10656	39	10	the	the	DET
ajst-10656	39	11	transposed	transpose	VERB
ajst-10656	39	12	convolution	convolution	NOUN
ajst-10656	39	13	operation	operation	NOUN
ajst-10656	39	14	to	to	PART
ajst-10656	39	15	expand	expand	VERB
ajst-10656	39	16	the	the	DET
ajst-10656	39	17	feature	feature	NOUN
ajst-10656	39	18	map	map	NOUN
ajst-10656	39	19	,	,	PUNCT
ajst-10656	39	20	and	and	CCONJ
ajst-10656	39	21	this	this	DET
ajst-10656	39	22	process	process	NOUN
ajst-10656	39	23	can	can	AUX
ajst-10656	39	24	recover	recover	VERB
ajst-10656	39	25	the	the	DET
ajst-10656	39	26	original	original	ADJ
ajst-10656	39	27	resolution	resolution	NOUN
ajst-10656	39	28	and	and	CCONJ
ajst-10656	39	29	detail	detail	NOUN
ajst-10656	39	30	information	information	NOUN
ajst-10656	39	31	of	of	ADP
ajst-10656	39	32	the	the	DET
ajst-10656	39	33	image	image	NOUN
ajst-10656	39	34	.	.	PUNCT
ajst-10656	40	1	the	the	DET
ajst-10656	40	2	coder	coder	NOUN
ajst-10656	40	3	-	-	PUNCT
ajst-10656	40	4	decoder	decoder	NOUN
ajst-10656	40	5	connection	connection	NOUN
ajst-10656	40	6	channel	channel	NOUN
ajst-10656	40	7	and	and	CCONJ
ajst-10656	40	8	the	the	DET
ajst-10656	40	9	jump	jump	NOUN
ajst-10656	40	10	connection	connection	NOUN
ajst-10656	40	11	fuse	fuse	NOUN
ajst-10656	40	12	the	the	DET
ajst-10656	40	13	information	information	NOUN
ajst-10656	40	14	between	between	ADP
ajst-10656	40	15	the	the	DET
ajst-10656	40	16	encoder	encoder	NOUN
ajst-10656	40	17	and	and	CCONJ
ajst-10656	40	18	the	the	DET
ajst-10656	40	19	decoder	decoder	NOUN
ajst-10656	40	20	.	.	PUNCT
ajst-10656	41	1	the	the	DET
ajst-10656	41	2	jump	jump	NOUN
ajst-10656	41	3	connection	connection	NOUN
ajst-10656	41	4	mechanism	mechanism	NOUN
ajst-10656	41	5	allows	allow	VERB
ajst-10656	41	6	the	the	DET
ajst-10656	41	7	decoder	decoder	NOUN
ajst-10656	41	8	to	to	PART
ajst-10656	41	9	access	access	VERB
ajst-10656	41	10	more	more	ADJ
ajst-10656	41	11	low	low	ADJ
ajst-10656	41	12	-	-	PUNCT
ajst-10656	41	13	level	level	NOUN
ajst-10656	41	14	detail	detail	NOUN
ajst-10656	41	15	information	information	NOUN
ajst-10656	41	16	.	.	PUNCT
ajst-10656	42	1	this	this	DET
ajst-10656	42	2	low	low	ADJ
ajst-10656	42	3	-	-	PUNCT
ajst-10656	42	4	level	level	NOUN
ajst-10656	42	5	detail	detail	NOUN
ajst-10656	42	6	information	information	NOUN
ajst-10656	42	7	is	be	AUX
ajst-10656	42	8	particularly	particularly	ADV
ajst-10656	42	9	important	important	ADJ
ajst-10656	42	10	for	for	ADP
ajst-10656	42	11	the	the	DET
ajst-10656	42	12	metal	metal	NOUN
ajst-10656	42	13	artifact	artifact	NOUN
ajst-10656	42	14	reduction	reduction	NOUN
ajst-10656	42	15	task	task	NOUN
ajst-10656	42	16	because	because	SCONJ
ajst-10656	42	17	they	they	PRON
ajst-10656	42	18	often	often	ADV
ajst-10656	42	19	contain	contain	VERB
ajst-10656	42	20	detailed	detailed	ADJ
ajst-10656	42	21	information	information	NOUN
ajst-10656	42	22	about	about	ADP
ajst-10656	42	23	edges	edge	NOUN
ajst-10656	42	24	and	and	CCONJ
ajst-10656	42	25	textures	texture	NOUN
ajst-10656	42	26	,	,	PUNCT
ajst-10656	42	27	which	which	PRON
ajst-10656	42	28	play	play	VERB
ajst-10656	42	29	a	a	DET
ajst-10656	42	30	crucial	crucial	ADJ
ajst-10656	42	31	role	role	NOUN
ajst-10656	42	32	in	in	ADP
ajst-10656	42	33	maintaining	maintain	VERB
ajst-10656	42	34	the	the	DET
ajst-10656	42	35	organization	organization	NOUN
ajst-10656	42	36	and	and	CCONJ
ajst-10656	42	37	sharpness	sharpness	NOUN
ajst-10656	42	38	of	of	ADP
ajst-10656	42	39	the	the	DET
ajst-10656	42	40	ct	ct	NUM
ajst-10656	42	41	image	image	NOUN
ajst-10656	42	42	.	.	PUNCT
ajst-10656	43	1	in	in	ADP
ajst-10656	43	2	addition	addition	NOUN
ajst-10656	43	3	,	,	PUNCT
ajst-10656	43	4	in	in	ADP
ajst-10656	43	5	the	the	DET
ajst-10656	43	6	case	case	NOUN
ajst-10656	43	7	of	of	ADP
ajst-10656	43	8	small	small	ADJ
ajst-10656	43	9	samples	sample	NOUN
ajst-10656	43	10	,	,	PUNCT
ajst-10656	43	11	the	the	DET
ajst-10656	43	12	u	u	ADJ
ajst-10656	43	13	-	-	ADJ
ajst-10656	43	14	net	net	ADJ
ajst-10656	43	15	network	network	NOUN
ajst-10656	43	16	jump	jump	NOUN
ajst-10656	43	17	-	-	PUNCT
ajst-10656	43	18	connection	connection	NOUN
ajst-10656	43	19	mechanism	mechanism	NOUN
ajst-10656	43	20	can	can	AUX
ajst-10656	43	21	fully	fully	ADV
ajst-10656	43	22	utilize	utilize	VERB
ajst-10656	43	23	the	the	DET
ajst-10656	43	24	information	information	NOUN
ajst-10656	43	25	at	at	ADP
ajst-10656	43	26	all	all	DET
ajst-10656	43	27	levels	level	NOUN
ajst-10656	43	28	,	,	PUNCT
ajst-10656	43	29	which	which	PRON
ajst-10656	43	30	can	can	AUX
ajst-10656	43	31	largely	largely	ADV
ajst-10656	43	32	solve	solve	VERB
ajst-10656	43	33	the	the	DET
ajst-10656	43	34	phenomenon	phenomenon	NOUN
ajst-10656	43	35	of	of	ADP
ajst-10656	43	36	network	network	NOUN
ajst-10656	43	37	overfitting	overfitting	NOUN
ajst-10656	43	38	caused	cause	VERB
ajst-10656	43	39	by	by	ADP
ajst-10656	43	40	insufficient	insufficient	ADJ
ajst-10656	43	41	information	information	NOUN
ajst-10656	43	42	in	in	ADP
ajst-10656	43	43	small	small	ADJ
ajst-10656	43	44	samples.the	samples.the	DET
ajst-10656	43	45	specific	specific	ADJ
ajst-10656	43	46	generator	generator	NOUN
ajst-10656	43	47	structure	structure	NOUN
ajst-10656	43	48	is	be	AUX
ajst-10656	43	49	shown	show	VERB
ajst-10656	43	50	below	below	ADP
ajst-10656	43	51	:	:	PUNCT
ajst-10656	43	52	figure2	figure2	ADJ
ajst-10656	43	53	.	.	PUNCT
ajst-10656	43	54	generator	generator	NOUN
ajst-10656	43	55	architecture	architecture	NOUN
ajst-10656	43	56	140	140	NUM
ajst-10656	43	57	both	both	CCONJ
ajst-10656	43	58	the	the	DET
ajst-10656	43	59	encoder	encoder	NOUN
ajst-10656	43	60	and	and	CCONJ
ajst-10656	43	61	decoder	decoder	NOUN
ajst-10656	43	62	of	of	ADP
ajst-10656	43	63	the	the	DET
ajst-10656	43	64	generator	generator	NOUN
ajst-10656	43	65	contain	contain	VERB
ajst-10656	43	66	four	four	NUM
ajst-10656	43	67	layers	layer	NOUN
ajst-10656	43	68	(	(	PUNCT
ajst-10656	43	69	excluding	exclude	VERB
ajst-10656	43	70	the	the	DET
ajst-10656	43	71	bottom	bottom	ADJ
ajst-10656	43	72	layer	layer	NOUN
ajst-10656	43	73	)	)	PUNCT
ajst-10656	43	74	,	,	PUNCT
ajst-10656	43	75	where	where	SCONJ
ajst-10656	43	76	the	the	DET
ajst-10656	43	77	bottom	bottom	ADJ
ajst-10656	43	78	layer	layer	NOUN
ajst-10656	43	79	is	be	AUX
ajst-10656	43	80	the	the	DET
ajst-10656	43	81	connection	connection	NOUN
ajst-10656	43	82	channel	channel	NOUN
ajst-10656	43	83	of	of	ADP
ajst-10656	43	84	the	the	DET
ajst-10656	43	85	codec	codec	NOUN
ajst-10656	43	86	.	.	PUNCT
ajst-10656	44	1	each	each	DET
ajst-10656	44	2	layer	layer	NOUN
ajst-10656	44	3	of	of	ADP
ajst-10656	44	4	the	the	DET
ajst-10656	44	5	coder	coder	NOUN
ajst-10656	44	6	and	and	CCONJ
ajst-10656	44	7	decoder	decoder	NOUN
ajst-10656	44	8	structure	structure	NOUN
ajst-10656	44	9	contains	contain	VERB
ajst-10656	44	10	three	three	NUM
ajst-10656	44	11	convolutional	convolutional	ADJ
ajst-10656	44	12	modules	module	NOUN
ajst-10656	44	13	,	,	PUNCT
ajst-10656	44	14	where	where	SCONJ
ajst-10656	44	15	the	the	DET
ajst-10656	44	16	first	first	ADJ
ajst-10656	44	17	convolutional	convolutional	ADJ
ajst-10656	44	18	module	module	NOUN
ajst-10656	44	19	serves	serve	VERB
ajst-10656	44	20	to	to	PART
ajst-10656	44	21	expand	expand	VERB
ajst-10656	44	22	the	the	DET
ajst-10656	44	23	number	number	NOUN
ajst-10656	44	24	of	of	ADP
ajst-10656	44	25	image	image	NOUN
ajst-10656	44	26	channels	channel	NOUN
ajst-10656	44	27	and	and	CCONJ
ajst-10656	44	28	the	the	DET
ajst-10656	44	29	next	next	ADJ
ajst-10656	44	30	two	two	NUM
ajst-10656	44	31	convolutional	convolutional	ADJ
ajst-10656	44	32	modules	module	NOUN
ajst-10656	44	33	form	form	VERB
ajst-10656	44	34	the	the	DET
ajst-10656	44	35	residual	residual	ADJ
ajst-10656	44	36	structure	structure	NOUN
ajst-10656	44	37	.	.	PUNCT
ajst-10656	45	1	attention	attention	NOUN
ajst-10656	45	2	modules	module	NOUN
ajst-10656	45	3	are	be	AUX
ajst-10656	45	4	added	add	VERB
ajst-10656	45	5	before	before	ADP
ajst-10656	45	6	each	each	DET
ajst-10656	45	7	downsampling	downsample	VERB
ajst-10656	45	8	in	in	ADP
ajst-10656	45	9	the	the	DET
ajst-10656	45	10	encoder	encoder	NOUN
ajst-10656	45	11	structure	structure	NOUN
ajst-10656	45	12	.	.	PUNCT
ajst-10656	46	1	the	the	DET
ajst-10656	46	2	connected	connected	ADJ
ajst-10656	46	3	channels	channel	NOUN
ajst-10656	46	4	are	be	AUX
ajst-10656	46	5	composed	compose	VERB
ajst-10656	46	6	of	of	ADP
ajst-10656	46	7	one	one	NUM
ajst-10656	46	8	convolutional	convolutional	ADJ
ajst-10656	46	9	module	module	NOUN
ajst-10656	46	10	and	and	CCONJ
ajst-10656	46	11	three	three	NUM
ajst-10656	46	12	residual	residual	ADJ
ajst-10656	46	13	blocks	block	NOUN
ajst-10656	46	14	,	,	PUNCT
ajst-10656	46	15	the	the	DET
ajst-10656	46	16	residual	residual	ADJ
ajst-10656	46	17	block	block	NOUN
ajst-10656	46	18	structure	structure	NOUN
ajst-10656	46	19	is	be	AUX
ajst-10656	46	20	as	as	SCONJ
ajst-10656	46	21	follows	follow	VERB
ajst-10656	46	22	:	:	PUNCT
ajst-10656	47	1	figure3	figure3	ADJ
ajst-10656	47	2	.	.	PUNCT
ajst-10656	48	1	schematic	schematic	ADJ
ajst-10656	48	2	of	of	ADP
ajst-10656	48	3	the	the	DET
ajst-10656	48	4	residual	residual	ADJ
ajst-10656	48	5	structure	structure	NOUN
ajst-10656	48	6	the	the	DET
ajst-10656	48	7	residual	residual	ADJ
ajst-10656	48	8	structure	structure	NOUN
ajst-10656	48	9	is	be	AUX
ajst-10656	48	10	added	add	VERB
ajst-10656	48	11	to	to	ADP
ajst-10656	48	12	each	each	DET
ajst-10656	48	13	layer	layer	NOUN
ajst-10656	48	14	of	of	ADP
ajst-10656	48	15	the	the	DET
ajst-10656	48	16	coding	code	VERB
ajst-10656	48	17	and	and	CCONJ
ajst-10656	48	18	decoding	decode	VERB
ajst-10656	48	19	structure	structure	NOUN
ajst-10656	48	20	,	,	PUNCT
ajst-10656	48	21	which	which	PRON
ajst-10656	48	22	further	far	ADV
ajst-10656	48	23	improves	improve	VERB
ajst-10656	48	24	the	the	DET
ajst-10656	48	25	utilization	utilization	NOUN
ajst-10656	48	26	of	of	ADP
ajst-10656	48	27	low	low	ADJ
ajst-10656	48	28	-	-	PUNCT
ajst-10656	48	29	level	level	NOUN
ajst-10656	48	30	feature	feature	NOUN
ajst-10656	48	31	information	information	NOUN
ajst-10656	48	32	in	in	ADP
ajst-10656	48	33	the	the	DET
ajst-10656	48	34	encoder.the	encoder.the	DET
ajst-10656	48	35	three	three	NUM
ajst-10656	48	36	residual	residual	ADJ
ajst-10656	48	37	blocks	block	NOUN
ajst-10656	48	38	in	in	ADP
ajst-10656	48	39	the	the	DET
ajst-10656	48	40	coder	coder	NOUN
ajst-10656	48	41	-	-	PUNCT
ajst-10656	48	42	decoder	decoder	NOUN
ajst-10656	48	43	connection	connection	NOUN
ajst-10656	48	44	channel	channel	NOUN
ajst-10656	48	45	appropriately	appropriately	ADV
ajst-10656	48	46	increase	increase	VERB
ajst-10656	48	47	the	the	DET
ajst-10656	48	48	depth	depth	NOUN
ajst-10656	48	49	of	of	ADP
ajst-10656	48	50	the	the	DET
ajst-10656	48	51	network	network	NOUN
ajst-10656	48	52	model	model	NOUN
ajst-10656	48	53	,	,	PUNCT
ajst-10656	48	54	allowing	allow	VERB
ajst-10656	48	55	the	the	DET
ajst-10656	48	56	network	network	NOUN
ajst-10656	48	57	to	to	PART
ajst-10656	48	58	extract	extract	VERB
ajst-10656	48	59	more	more	ADJ
ajst-10656	48	60	abstract	abstract	ADJ
ajst-10656	48	61	information	information	NOUN
ajst-10656	48	62	.	.	PUNCT
ajst-10656	49	1	the	the	DET
ajst-10656	49	2	inclusion	inclusion	NOUN
ajst-10656	49	3	of	of	ADP
ajst-10656	49	4	the	the	DET
ajst-10656	49	5	residual	residual	ADJ
ajst-10656	49	6	connection	connection	NOUN
ajst-10656	49	7	mechanism	mechanism	NOUN
ajst-10656	49	8	can	can	AUX
ajst-10656	49	9	speed	speed	VERB
ajst-10656	49	10	up	up	ADP
ajst-10656	49	11	the	the	DET
ajst-10656	49	12	feature	feature	NOUN
ajst-10656	49	13	information	information	NOUN
ajst-10656	49	14	transfer	transfer	NOUN
ajst-10656	49	15	and	and	CCONJ
ajst-10656	49	16	can	can	AUX
ajst-10656	49	17	improve	improve	VERB
ajst-10656	49	18	the	the	DET
ajst-10656	49	19	stability	stability	NOUN
ajst-10656	49	20	and	and	CCONJ
ajst-10656	49	21	generalization	generalization	NOUN
ajst-10656	49	22	ability	ability	NOUN
ajst-10656	49	23	of	of	ADP
ajst-10656	49	24	the	the	DET
ajst-10656	49	25	model	model	NOUN
ajst-10656	49	26	.	.	PUNCT
ajst-10656	50	1	attention	attention	NOUN
ajst-10656	50	2	mechanism	mechanism	NOUN
ajst-10656	50	3	is	be	AUX
ajst-10656	50	4	one	one	NUM
ajst-10656	50	5	of	of	ADP
ajst-10656	50	6	the	the	DET
ajst-10656	50	7	most	most	ADV
ajst-10656	50	8	common	common	ADJ
ajst-10656	50	9	ways	way	NOUN
ajst-10656	50	10	to	to	PART
ajst-10656	50	11	improve	improve	VERB
ajst-10656	50	12	feature	feature	NOUN
ajst-10656	50	13	information	information	NOUN
ajst-10656	50	14	extraction	extraction	NOUN
ajst-10656	50	15	in	in	ADP
ajst-10656	50	16	deep	deep	ADJ
ajst-10656	50	17	learning	learning	NOUN
ajst-10656	50	18	models	model	NOUN
ajst-10656	50	19	.	.	PUNCT
ajst-10656	51	1	convolutional	convolutional	ADJ
ajst-10656	51	2	block	block	NOUN
ajst-10656	51	3	attention	attention	NOUN
ajst-10656	51	4	module	module	NOUN
ajst-10656	51	5	(	(	PUNCT
ajst-10656	51	6	cbam	cbam	NOUN
ajst-10656	51	7	)	)	PUNCT
ajst-10656	52	1	[	[	X
ajst-10656	52	2	14	14	NUM
ajst-10656	52	3	]	]	PUNCT
ajst-10656	52	4	is	be	AUX
ajst-10656	52	5	a	a	DET
ajst-10656	52	6	module	module	NOUN
ajst-10656	52	7	that	that	PRON
ajst-10656	52	8	combines	combine	VERB
ajst-10656	52	9	spatial	spatial	ADJ
ajst-10656	52	10	attention	attention	NOUN
ajst-10656	52	11	and	and	CCONJ
ajst-10656	52	12	channel	channel	NOUN
ajst-10656	52	13	attention.this	attention.this	PRON
ajst-10656	52	14	module	module	NOUN
ajst-10656	52	15	has	have	VERB
ajst-10656	52	16	low	low	ADJ
ajst-10656	52	17	computational	computational	ADJ
ajst-10656	52	18	complexity	complexity	NOUN
ajst-10656	52	19	and	and	CCONJ
ajst-10656	52	20	good	good	ADJ
ajst-10656	52	21	feature	feature	NOUN
ajst-10656	52	22	representation.the	representation.the	DET
ajst-10656	52	23	cbam	cbam	NOUN
ajst-10656	52	24	module	module	NOUN
ajst-10656	52	25	first	first	ADV
ajst-10656	52	26	performs	perform	VERB
ajst-10656	52	27	global	global	ADJ
ajst-10656	52	28	maximum	maximum	ADJ
ajst-10656	52	29	pooling	pooling	NOUN
ajst-10656	52	30	and	and	CCONJ
ajst-10656	52	31	global	global	ADJ
ajst-10656	52	32	average	average	ADJ
ajst-10656	52	33	pooling	pool	VERB
ajst-10656	52	34	operations	operation	NOUN
ajst-10656	52	35	on	on	ADP
ajst-10656	52	36	the	the	DET
ajst-10656	52	37	input	input	NOUN
ajst-10656	52	38	feature	feature	NOUN
ajst-10656	52	39	maps	map	NOUN
ajst-10656	52	40	to	to	PART
ajst-10656	52	41	aggregate	aggregate	VERB
ajst-10656	52	42	the	the	DET
ajst-10656	52	43	channel	channel	NOUN
ajst-10656	52	44	orientation	orientation	NOUN
ajst-10656	52	45	information	information	NOUN
ajst-10656	52	46	.	.	PUNCT
ajst-10656	53	1	the	the	DET
ajst-10656	53	2	pooling	pooling	NOUN
ajst-10656	53	3	result	result	NOUN
ajst-10656	53	4	is	be	AUX
ajst-10656	53	5	fed	feed	VERB
ajst-10656	53	6	into	into	ADP
ajst-10656	53	7	the	the	DET
ajst-10656	53	8	shared	share	VERB
ajst-10656	53	9	fully	fully	ADV
ajst-10656	53	10	connected	connect	VERB
ajst-10656	53	11	layer	layer	NOUN
ajst-10656	53	12	,	,	PUNCT
ajst-10656	53	13	and	and	CCONJ
ajst-10656	53	14	the	the	DET
ajst-10656	53	15	two	two	NUM
ajst-10656	53	16	outputs	output	NOUN
ajst-10656	53	17	of	of	ADP
ajst-10656	53	18	the	the	DET
ajst-10656	53	19	shared	share	VERB
ajst-10656	53	20	fully	fully	ADV
ajst-10656	53	21	connected	connect	VERB
ajst-10656	53	22	layer	layer	NOUN
ajst-10656	53	23	perform	perform	VERB
ajst-10656	53	24	a	a	DET
ajst-10656	53	25	pixel	pixel	NOUN
ajst-10656	53	26	-	-	PUNCT
ajst-10656	53	27	by	by	ADP
ajst-10656	53	28	-	-	PUNCT
ajst-10656	53	29	pixel	pixel	NOUN
ajst-10656	53	30	summation	summation	NOUN
ajst-10656	53	31	operation	operation	NOUN
ajst-10656	53	32	to	to	PART
ajst-10656	53	33	obtain	obtain	VERB
ajst-10656	53	34	the	the	DET
ajst-10656	53	35	channel	channel	NOUN
ajst-10656	53	36	attention	attention	NOUN
ajst-10656	53	37	weights	weight	NOUN
ajst-10656	53	38	.	.	PUNCT
ajst-10656	54	1	then	then	ADV
ajst-10656	54	2	,	,	PUNCT
ajst-10656	54	3	the	the	DET
ajst-10656	54	4	cbam	cbam	NOUN
ajst-10656	54	5	module	module	NOUN
ajst-10656	54	6	inputs	input	VERB
ajst-10656	54	7	the	the	DET
ajst-10656	54	8	feature	feature	NOUN
ajst-10656	54	9	map	map	NOUN
ajst-10656	54	10	processed	process	VERB
ajst-10656	54	11	by	by	ADP
ajst-10656	54	12	the	the	DET
ajst-10656	54	13	channel	channel	NOUN
ajst-10656	54	14	attention	attention	NOUN
ajst-10656	54	15	mechanism	mechanism	NOUN
ajst-10656	54	16	into	into	ADP
ajst-10656	54	17	the	the	DET
ajst-10656	54	18	spatial	spatial	ADJ
ajst-10656	54	19	attention	attention	NOUN
ajst-10656	54	20	module.the	module.the	DET
ajst-10656	54	21	spatial	spatial	ADJ
ajst-10656	54	22	attention	attention	NOUN
ajst-10656	54	23	module	module	NOUN
ajst-10656	54	24	first	first	ADV
ajst-10656	54	25	performs	perform	VERB
ajst-10656	54	26	channelbased	channelbase	VERB
ajst-10656	54	27	maximum	maximum	ADJ
ajst-10656	54	28	pooling	pooling	NOUN
ajst-10656	54	29	and	and	CCONJ
ajst-10656	54	30	average	average	ADJ
ajst-10656	54	31	pooling	pool	VERB
ajst-10656	54	32	operations	operation	NOUN
ajst-10656	54	33	on	on	ADP
ajst-10656	54	34	the	the	DET
ajst-10656	54	35	feature	feature	NOUN
ajst-10656	54	36	map	map	NOUN
ajst-10656	54	37	.	.	PUNCT
ajst-10656	55	1	then	then	ADV
ajst-10656	55	2	,	,	PUNCT
ajst-10656	55	3	the	the	DET
ajst-10656	55	4	pooled	pool	VERB
ajst-10656	55	5	results	result	NOUN
ajst-10656	55	6	are	be	AUX
ajst-10656	55	7	spliced	splice	VERB
ajst-10656	55	8	along	along	ADP
ajst-10656	55	9	the	the	DET
ajst-10656	55	10	channel	channel	NOUN
ajst-10656	55	11	dimension	dimension	NOUN
ajst-10656	55	12	and	and	CCONJ
ajst-10656	55	13	the	the	DET
ajst-10656	55	14	number	number	NOUN
ajst-10656	55	15	of	of	ADP
ajst-10656	55	16	channels	channel	NOUN
ajst-10656	55	17	is	be	AUX
ajst-10656	55	18	compressed	compress	VERB
ajst-10656	55	19	to	to	ADP
ajst-10656	55	20	1	1	NUM
ajst-10656	55	21	by	by	ADP
ajst-10656	55	22	a	a	DET
ajst-10656	55	23	7x7	7x7	NUM
ajst-10656	55	24	convolutional	convolutional	ADJ
ajst-10656	55	25	layer.finally	layer.finally	ADV
ajst-10656	55	26	,	,	PUNCT
ajst-10656	55	27	the	the	DET
ajst-10656	55	28	spatial	spatial	ADJ
ajst-10656	55	29	attention	attention	NOUN
ajst-10656	55	30	weights	weight	NOUN
ajst-10656	55	31	are	be	AUX
ajst-10656	55	32	obtained	obtain	VERB
ajst-10656	55	33	using	use	VERB
ajst-10656	55	34	the	the	DET
ajst-10656	55	35	sigmoid	sigmoid	NOUN
ajst-10656	55	36	activation	activation	NOUN
ajst-10656	55	37	function	function	NOUN
ajst-10656	55	38	.	.	PUNCT
ajst-10656	56	1	the	the	DET
ajst-10656	56	2	spatial	spatial	ADJ
ajst-10656	56	3	attention	attention	NOUN
ajst-10656	56	4	weights	weight	NOUN
ajst-10656	56	5	are	be	AUX
ajst-10656	56	6	multiplied	multiply	VERB
ajst-10656	56	7	with	with	ADP
ajst-10656	56	8	the	the	DET
ajst-10656	56	9	feature	feature	NOUN
ajst-10656	56	10	map	map	NOUN
ajst-10656	56	11	to	to	PART
ajst-10656	56	12	obtain	obtain	VERB
ajst-10656	56	13	the	the	DET
ajst-10656	56	14	enhanced	enhance	VERB
ajst-10656	56	15	feature	feature	NOUN
ajst-10656	56	16	representation.cbam	representation.cbam	ADP
ajst-10656	56	17	allows	allow	VERB
ajst-10656	56	18	dynamic	dynamic	ADJ
ajst-10656	56	19	channel	channel	NOUN
ajst-10656	56	20	and	and	CCONJ
ajst-10656	56	21	spatial	spatial	ADJ
ajst-10656	56	22	importance	importance	NOUN
ajst-10656	56	23	assessment	assessment	NOUN
ajst-10656	56	24	of	of	ADP
ajst-10656	56	25	features	feature	NOUN
ajst-10656	56	26	.	.	PUNCT
ajst-10656	57	1	weighting	weight	VERB
ajst-10656	57	2	based	base	VERB
ajst-10656	57	3	on	on	ADP
ajst-10656	57	4	the	the	DET
ajst-10656	57	5	importance	importance	NOUN
ajst-10656	57	6	enables	enable	VERB
ajst-10656	57	7	a	a	DET
ajst-10656	57	8	better	well	ADJ
ajst-10656	57	9	assessment	assessment	NOUN
ajst-10656	57	10	of	of	ADP
ajst-10656	57	11	the	the	DET
ajst-10656	57	12	importance	importance	NOUN
ajst-10656	57	13	of	of	ADP
ajst-10656	57	14	the	the	DET
ajst-10656	57	15	features	feature	NOUN
ajst-10656	57	16	,	,	PUNCT
ajst-10656	57	17	thus	thus	ADV
ajst-10656	57	18	enabling	enable	VERB
ajst-10656	57	19	unet	unet	NOUN
ajst-10656	57	20	to	to	PART
ajst-10656	57	21	extract	extract	VERB
ajst-10656	57	22	feature	feature	NOUN
ajst-10656	57	23	information	information	NOUN
ajst-10656	57	24	in	in	ADP
ajst-10656	57	25	a	a	DET
ajst-10656	57	26	more	more	ADV
ajst-10656	57	27	refined	refined	ADJ
ajst-10656	57	28	way	way	NOUN
ajst-10656	57	29	.	.	PUNCT
ajst-10656	58	1	the	the	DET
ajst-10656	58	2	final	final	ADJ
ajst-10656	58	3	result	result	NOUN
ajst-10656	58	4	is	be	AUX
ajst-10656	58	5	to	to	PART
ajst-10656	58	6	improve	improve	VERB
ajst-10656	58	7	the	the	DET
ajst-10656	58	8	model	model	NOUN
ajst-10656	58	9	's	's	PART
ajst-10656	58	10	ability	ability	NOUN
ajst-10656	58	11	to	to	PART
ajst-10656	58	12	reduce	reduce	VERB
ajst-10656	58	13	metal	metal	NOUN
ajst-10656	58	14	artifacts.below	artifacts.below	NUM
ajst-10656	58	15	is	be	AUX
ajst-10656	58	16	a	a	DET
ajst-10656	58	17	schematic	schematic	ADJ
ajst-10656	58	18	of	of	ADP
ajst-10656	58	19	the	the	DET
ajst-10656	58	20	cbam	cbam	NOUN
ajst-10656	58	21	structure	structure	NOUN
ajst-10656	58	22	and	and	CCONJ
ajst-10656	58	23	its	its	PRON
ajst-10656	58	24	sub	sub	NOUN
ajst-10656	58	25	-	-	NOUN
ajst-10656	58	26	modules	module	NOUN
ajst-10656	58	27	:	:	PUNCT
ajst-10656	58	28	figure	figure	NOUN
ajst-10656	58	29	4	4	NUM
ajst-10656	58	30	.	.	NOUN
ajst-10656	58	31	channel	channel	PROPN
ajst-10656	58	32	attention	attention	NOUN
ajst-10656	58	33	mudule	mudule	NOUN
ajst-10656	58	34	figure	figure	NOUN
ajst-10656	58	35	5	5	NUM
ajst-10656	58	36	.	.	PUNCT
ajst-10656	58	37	spatial	spatial	ADJ
ajst-10656	58	38	attention	attention	NOUN
ajst-10656	58	39	mudule	mudule	NOUN
ajst-10656	58	40	141	141	NUM
ajst-10656	58	41	figure	figure	NOUN
ajst-10656	58	42	6	6	NUM
ajst-10656	58	43	.	.	PUNCT
ajst-10656	58	44	cbam	cbam	NOUN
ajst-10656	58	45	module	module	PROPN
ajst-10656	58	46	2.1.2	2.1.2	PROPN
ajst-10656	58	47	.	.	PUNCT
ajst-10656	58	48	discriminator	discriminator	NOUN
ajst-10656	59	1	the	the	DET
ajst-10656	59	2	discriminator	discriminator	NOUN
ajst-10656	59	3	structure	structure	NOUN
ajst-10656	59	4	uses	use	VERB
ajst-10656	59	5	the	the	DET
ajst-10656	59	6	patchgan	patchgan	NOUN
ajst-10656	59	7	[	[	X
ajst-10656	59	8	14	14	NUM
ajst-10656	59	9	]	]	PUNCT
ajst-10656	59	10	structural	structural	ADJ
ajst-10656	59	11	model	model	NOUN
ajst-10656	59	12	,	,	PUNCT
ajst-10656	59	13	which	which	PRON
ajst-10656	59	14	is	be	AUX
ajst-10656	59	15	different	different	ADJ
ajst-10656	59	16	from	from	ADP
ajst-10656	59	17	traditional	traditional	ADJ
ajst-10656	59	18	image	image	NOUN
ajst-10656	59	19	discriminators	discriminator	NOUN
ajst-10656	59	20	,	,	PUNCT
ajst-10656	59	21	which	which	PRON
ajst-10656	59	22	usually	usually	ADV
ajst-10656	59	23	take	take	VERB
ajst-10656	59	24	the	the	DET
ajst-10656	59	25	whole	whole	ADJ
ajst-10656	59	26	image	image	NOUN
ajst-10656	59	27	as	as	ADP
ajst-10656	59	28	input	input	NOUN
ajst-10656	59	29	and	and	CCONJ
ajst-10656	59	30	ultimately	ultimately	ADV
ajst-10656	59	31	give	give	VERB
ajst-10656	59	32	a	a	DET
ajst-10656	59	33	score	score	NOUN
ajst-10656	59	34	used	use	VERB
ajst-10656	59	35	to	to	PART
ajst-10656	59	36	judge	judge	VERB
ajst-10656	59	37	the	the	DET
ajst-10656	59	38	quality	quality	NOUN
ajst-10656	59	39	of	of	ADP
ajst-10656	59	40	the	the	DET
ajst-10656	59	41	whole	whole	ADJ
ajst-10656	59	42	generated	generate	VERB
ajst-10656	59	43	image	image	NOUN
ajst-10656	59	44	.	.	PUNCT
ajst-10656	60	1	patchgan	patchgan	NOUN
ajst-10656	60	2	,	,	PUNCT
ajst-10656	60	3	on	on	ADP
ajst-10656	60	4	the	the	DET
ajst-10656	60	5	other	other	ADJ
ajst-10656	60	6	hand	hand	NOUN
ajst-10656	60	7	,	,	PUNCT
ajst-10656	60	8	uses	use	VERB
ajst-10656	60	9	a	a	DET
ajst-10656	60	10	fully	fully	ADV
ajst-10656	60	11	convolutional	convolutional	ADJ
ajst-10656	60	12	network	network	NOUN
ajst-10656	60	13	,	,	PUNCT
ajst-10656	60	14	and	and	CCONJ
ajst-10656	60	15	the	the	DET
ajst-10656	60	16	final	final	ADJ
ajst-10656	60	17	output	output	NOUN
ajst-10656	60	18	is	be	AUX
ajst-10656	60	19	a	a	DET
ajst-10656	60	20	matrix	matrix	NOUN
ajst-10656	60	21	.	.	PUNCT
ajst-10656	61	1	each	each	DET
ajst-10656	61	2	matrix	matrix	NOUN
ajst-10656	61	3	element	element	NOUN
ajst-10656	61	4	corresponds	correspond	VERB
ajst-10656	61	5	to	to	ADP
ajst-10656	61	6	a	a	DET
ajst-10656	61	7	region	region	NOUN
ajst-10656	61	8	on	on	ADP
ajst-10656	61	9	the	the	DET
ajst-10656	61	10	original	original	ADJ
ajst-10656	61	11	image	image	NOUN
ajst-10656	61	12	,	,	PUNCT
ajst-10656	61	13	and	and	CCONJ
ajst-10656	61	14	the	the	DET
ajst-10656	61	15	value	value	NOUN
ajst-10656	61	16	of	of	ADP
ajst-10656	61	17	that	that	DET
ajst-10656	61	18	matrix	matrix	NOUN
ajst-10656	61	19	element	element	NOUN
ajst-10656	61	20	represents	represent	VERB
ajst-10656	61	21	the	the	DET
ajst-10656	61	22	score	score	NOUN
ajst-10656	61	23	of	of	ADP
ajst-10656	61	24	a	a	DET
ajst-10656	61	25	region	region	NOUN
ajst-10656	61	26	of	of	ADP
ajst-10656	61	27	the	the	DET
ajst-10656	61	28	original	original	ADJ
ajst-10656	61	29	image	image	NOUN
ajst-10656	61	30	.	.	PUNCT
ajst-10656	62	1	the	the	DET
ajst-10656	62	2	advantage	advantage	NOUN
ajst-10656	62	3	of	of	ADP
ajst-10656	62	4	this	this	PRON
ajst-10656	62	5	is	be	AUX
ajst-10656	62	6	that	that	SCONJ
ajst-10656	62	7	patchgan	patchgan	NOUN
ajst-10656	62	8	can	can	AUX
ajst-10656	62	9	better	well	ADV
ajst-10656	62	10	capture	capture	VERB
ajst-10656	62	11	the	the	DET
ajst-10656	62	12	local	local	ADJ
ajst-10656	62	13	information	information	NOUN
ajst-10656	62	14	of	of	ADP
ajst-10656	62	15	the	the	DET
ajst-10656	62	16	image	image	NOUN
ajst-10656	62	17	and	and	CCONJ
ajst-10656	62	18	can	can	AUX
ajst-10656	62	19	analyze	analyze	VERB
ajst-10656	62	20	the	the	DET
ajst-10656	62	21	structure	structure	NOUN
ajst-10656	62	22	of	of	ADP
ajst-10656	62	23	the	the	DET
ajst-10656	62	24	image	image	NOUN
ajst-10656	62	25	in	in	ADP
ajst-10656	62	26	more	more	ADJ
ajst-10656	62	27	detail	detail	NOUN
ajst-10656	62	28	.	.	PUNCT
ajst-10656	63	1	below	below	ADV
ajst-10656	63	2	is	be	AUX
ajst-10656	63	3	a	a	DET
ajst-10656	63	4	schematic	schematic	ADJ
ajst-10656	63	5	of	of	ADP
ajst-10656	63	6	the	the	DET
ajst-10656	63	7	network	network	NOUN
ajst-10656	63	8	structure	structure	NOUN
ajst-10656	63	9	of	of	ADP
ajst-10656	63	10	the	the	DET
ajst-10656	63	11	discriminator	discriminator	NOUN
ajst-10656	63	12	:	:	PUNCT
ajst-10656	63	13	figure	figure	NOUN
ajst-10656	63	14	7	7	NUM
ajst-10656	63	15	.	.	PUNCT
ajst-10656	63	16	discriminator	discriminator	NOUN
ajst-10656	63	17	structure	structure	NOUN
ajst-10656	63	18	schematic	schematic	ADJ
ajst-10656	63	19	2.2	2.2	NUM
ajst-10656	63	20	.	.	PUNCT
ajst-10656	64	1	loss	loss	NOUN
ajst-10656	64	2	function	function	VERB
ajst-10656	64	3	the	the	DET
ajst-10656	64	4	loss	loss	NOUN
ajst-10656	64	5	function	function	NOUN
ajst-10656	64	6	of	of	ADP
ajst-10656	64	7	the	the	DET
ajst-10656	64	8	whole	whole	ADJ
ajst-10656	64	9	model	model	NOUN
ajst-10656	64	10	includes	include	VERB
ajst-10656	64	11	adversarial	adversarial	ADJ
ajst-10656	64	12	loss	loss	NOUN
ajst-10656	64	13	of	of	ADP
ajst-10656	64	14	the	the	DET
ajst-10656	64	15	generator	generator	NOUN
ajst-10656	64	16	,	,	PUNCT
ajst-10656	64	17	cyclic	cyclic	ADJ
ajst-10656	64	18	consistency	consistency	NOUN
ajst-10656	64	19	loss	loss	NOUN
ajst-10656	64	20	and	and	CCONJ
ajst-10656	64	21	l1	l1	PROPN
ajst-10656	64	22	loss	loss	NOUN
ajst-10656	64	23	function	function	NOUN
ajst-10656	64	24	.	.	PUNCT
ajst-10656	65	1	the	the	DET
ajst-10656	65	2	adversarial	adversarial	ADJ
ajst-10656	65	3	loss	loss	NOUN
ajst-10656	65	4	is	be	AUX
ajst-10656	65	5	used	use	VERB
ajst-10656	65	6	to	to	PART
ajst-10656	65	7	identify	identify	VERB
ajst-10656	65	8	whether	whether	SCONJ
ajst-10656	65	9	the	the	DET
ajst-10656	65	10	image	image	NOUN
ajst-10656	65	11	produced	produce	VERB
ajst-10656	65	12	by	by	ADP
ajst-10656	65	13	the	the	DET
ajst-10656	65	14	generator	generator	NOUN
ajst-10656	65	15	is	be	AUX
ajst-10656	65	16	similar	similar	ADJ
ajst-10656	65	17	in	in	ADP
ajst-10656	65	18	style	style	NOUN
ajst-10656	65	19	to	to	ADP
ajst-10656	65	20	the	the	DET
ajst-10656	65	21	real	real	ADJ
ajst-10656	65	22	image	image	NOUN
ajst-10656	65	23	in	in	ADP
ajst-10656	65	24	the	the	DET
ajst-10656	65	25	target	target	NOUN
ajst-10656	65	26	domain	domain	NOUN
ajst-10656	65	27	.	.	PUNCT
ajst-10656	66	1	this	this	PRON
ajst-10656	66	2	helps	help	VERB
ajst-10656	66	3	the	the	DET
ajst-10656	66	4	generator	generator	NOUN
ajst-10656	66	5	to	to	PART
ajst-10656	66	6	learn	learn	VERB
ajst-10656	66	7	the	the	DET
ajst-10656	66	8	distribution	distribution	NOUN
ajst-10656	66	9	of	of	ADP
ajst-10656	66	10	images	image	NOUN
ajst-10656	66	11	in	in	ADP
ajst-10656	66	12	the	the	DET
ajst-10656	66	13	target	target	NOUN
ajst-10656	66	14	domain	domain	NOUN
ajst-10656	66	15	.	.	PUNCT
ajst-10656	67	1	the	the	DET
ajst-10656	67	2	cyclic	cyclic	ADJ
ajst-10656	67	3	consistency	consistency	NOUN
ajst-10656	67	4	loss	loss	NOUN
ajst-10656	67	5	enforces	enforce	VERB
ajst-10656	67	6	that	that	SCONJ
ajst-10656	67	7	the	the	DET
ajst-10656	67	8	image	image	NOUN
ajst-10656	67	9	produced	produce	VERB
ajst-10656	67	10	by	by	ADP
ajst-10656	67	11	the	the	DET
ajst-10656	67	12	generator	generator	NOUN
ajst-10656	67	13	can	can	AUX
ajst-10656	67	14	be	be	AUX
ajst-10656	67	15	restored	restore	VERB
ajst-10656	67	16	to	to	ADP
ajst-10656	67	17	the	the	DET
ajst-10656	67	18	original	original	ADJ
ajst-10656	67	19	image	image	NOUN
ajst-10656	67	20	after	after	ADP
ajst-10656	67	21	a	a	DET
ajst-10656	67	22	cyclic	cyclic	ADJ
ajst-10656	67	23	transformation	transformation	NOUN
ajst-10656	67	24	between	between	ADP
ajst-10656	67	25	the	the	DET
ajst-10656	67	26	two	two	NUM
ajst-10656	67	27	generators	generator	NOUN
ajst-10656	67	28	.	.	PUNCT
ajst-10656	68	1	this	this	PRON
ajst-10656	68	2	helps	help	VERB
ajst-10656	68	3	to	to	PART
ajst-10656	68	4	preserve	preserve	VERB
ajst-10656	68	5	the	the	DET
ajst-10656	68	6	content	content	NOUN
ajst-10656	68	7	information	information	NOUN
ajst-10656	68	8	in	in	ADP
ajst-10656	68	9	the	the	DET
ajst-10656	68	10	original	original	ADJ
ajst-10656	68	11	image	image	NOUN
ajst-10656	68	12	and	and	CCONJ
ajst-10656	68	13	avoids	avoid	VERB
ajst-10656	68	14	distortion	distortion	NOUN
ajst-10656	68	15	during	during	ADP
ajst-10656	68	16	the	the	DET
ajst-10656	68	17	conversion	conversion	NOUN
ajst-10656	68	18	process	process	NOUN
ajst-10656	68	19	.	.	PUNCT
ajst-10656	69	1	to	to	PART
ajst-10656	69	2	ensure	ensure	VERB
ajst-10656	69	3	that	that	SCONJ
ajst-10656	69	4	the	the	DET
ajst-10656	69	5	image	image	NOUN
ajst-10656	69	6	details	detail	NOUN
ajst-10656	69	7	in	in	ADP
ajst-10656	69	8	the	the	DET
ajst-10656	69	9	non	non	ADJ
ajst-10656	69	10	-	-	ADJ
ajst-10656	69	11	metallic	metallic	ADJ
ajst-10656	69	12	portion	portion	NOUN
ajst-10656	69	13	of	of	ADP
ajst-10656	69	14	the	the	DET
ajst-10656	69	15	ct	ct	PROPN
ajst-10656	69	16	image	image	NOUN
ajst-10656	69	17	are	be	AUX
ajst-10656	69	18	preserved	preserve	VERB
ajst-10656	69	19	as	as	ADV
ajst-10656	69	20	much	much	ADV
ajst-10656	69	21	as	as	ADP
ajst-10656	69	22	possible	possible	ADJ
ajst-10656	69	23	,	,	PUNCT
ajst-10656	69	24	an	an	DET
ajst-10656	69	25	additional	additional	ADJ
ajst-10656	69	26	l1	l1	PROPN
ajst-10656	69	27	loss	loss	NOUN
ajst-10656	69	28	is	be	AUX
ajst-10656	69	29	added	add	VERB
ajst-10656	69	30	between	between	ADP
ajst-10656	69	31	the	the	DET
ajst-10656	69	32	generated	generate	VERB
ajst-10656	69	33	image	image	NOUN
ajst-10656	69	34	and	and	CCONJ
ajst-10656	69	35	the	the	DET
ajst-10656	69	36	original	original	ADJ
ajst-10656	69	37	image	image	NOUN
ajst-10656	69	38	.	.	PUNCT
ajst-10656	70	1	the	the	DET
ajst-10656	70	2	adversarial	adversarial	ADJ
ajst-10656	70	3	loss	loss	NOUN
ajst-10656	70	4	function	function	NOUN
ajst-10656	70	5	formula	formula	NOUN
ajst-10656	70	6	is	be	AUX
ajst-10656	70	7	:	:	PUNCT
ajst-10656	70	8	]	]	X
ajst-10656	70	9	1log	1log	PUNCT
ajst-10656	71	1	[	[	X
ajst-10656	71	2	]	]	X
ajst-10656	71	3	log	log	NOUN
ajst-10656	71	4	[	[	PUNCT
ajst-10656	71	5	(	(	PUNCT
ajst-10656	71	6	g(x))d(e(y)dεl	g(x))d(e(y)dεl	PROPN
ajst-10656	71	7	ypdata(x)xypdata(y)yadv	ypdata(x)xypdata(y)yadv	PROPN
ajst-10656	71	8			PRON
ajst-10656	71	9			X
ajst-10656	71	10	(	(	PUNCT
ajst-10656	71	11	1	1	NUM
ajst-10656	71	12	)	)	PUNCT
ajst-10656	71	13	where	where	SCONJ
ajst-10656	71	14	e	e	PRON
ajst-10656	71	15	represents	represent	VERB
ajst-10656	71	16	the	the	DET
ajst-10656	71	17	mathematical	mathematical	ADJ
ajst-10656	71	18	expectation	expectation	NOUN
ajst-10656	71	19	,	,	PUNCT
ajst-10656	71	20	pdata(y	pdata(y	NOUN
ajst-10656	71	21	)	)	PUNCT
ajst-10656	71	22	represents	represent	VERB
ajst-10656	71	23	the	the	DET
ajst-10656	71	24	data	datum	NOUN
ajst-10656	71	25	y	y	PRON
ajst-10656	71	26	obeys	obey	VERB
ajst-10656	71	27	the	the	DET
ajst-10656	71	28	pdata(y	pdata(y	NOUN
ajst-10656	71	29	)	)	PUNCT
ajst-10656	71	30	distribution	distribution	NOUN
ajst-10656	71	31	.	.	PUNCT
ajst-10656	72	1	d	d	X
ajst-10656	72	2	represents	represent	VERB
ajst-10656	72	3	the	the	DET
ajst-10656	72	4	discriminator	discriminator	NOUN
ajst-10656	72	5	.	.	PUNCT
ajst-10656	73	1	g	g	PROPN
ajst-10656	73	2	represents	represent	VERB
ajst-10656	73	3	the	the	DET
ajst-10656	73	4	generator	generator	NOUN
ajst-10656	73	5	.	.	PUNCT
ajst-10656	74	1	x	x	X
ajst-10656	75	1	and	and	CCONJ
ajst-10656	75	2	y	y	PROPN
ajst-10656	75	3	represent	represent	VERB
ajst-10656	75	4	the	the	DET
ajst-10656	75	5	images	image	NOUN
ajst-10656	75	6	that	that	PRON
ajst-10656	75	7	are	be	AUX
ajst-10656	75	8	input	input	NOUN
ajst-10656	75	9	to	to	ADP
ajst-10656	75	10	the	the	DET
ajst-10656	75	11	generator	generator	NOUN
ajst-10656	75	12	and	and	CCONJ
ajst-10656	75	13	discriminator	discriminator	NOUN
ajst-10656	75	14	,	,	PUNCT
ajst-10656	75	15	respectively	respectively	ADV
ajst-10656	75	16	.	.	PUNCT
ajst-10656	76	1	the	the	DET
ajst-10656	76	2	circular	circular	ADJ
ajst-10656	76	3	consistency	consistency	NOUN
ajst-10656	76	4	loss	loss	NOUN
ajst-10656	76	5	function	function	NOUN
ajst-10656	76	6	formula	formula	NOUN
ajst-10656	76	7	is	be	AUX
ajst-10656	76	8	:	:	PUNCT
ajst-10656	76	9	]	]	PUNCT
ajst-10656	77	1	[	[	X
ajst-10656	77	2	]	]	X
ajst-10656	77	3	)	)	PUNCT
ajst-10656	77	4	)	)	PUNCT
ajst-10656	77	5	(	(	PUNCT
ajst-10656	77	6	(	(	PUNCT
ajst-10656	77	7	[	[	PUNCT
ajst-10656	77	8	1	1	NUM
ajst-10656	77	9	y1	y1	NOUN
ajst-10656	77	10	y||||g(f(y))ex||xg||fεl	y||||g(f(y))ex||xg||fεl	NOUN
ajst-10656	77	11	pdata(y)pdata(x)xcyc	pdata(y)pdata(x)xcyc	NOUN
ajst-10656	77	12			VERB
ajst-10656	77	13			PROPN
ajst-10656	77	14	(	(	PUNCT
ajst-10656	77	15	2	2	NUM
ajst-10656	77	16	)	)	PUNCT
ajst-10656	77	17	where	where	SCONJ
ajst-10656	77	18	g	g	PROPN
ajst-10656	77	19	represents	represent	VERB
ajst-10656	77	20	a	a	DET
ajst-10656	77	21	generator	generator	NOUN
ajst-10656	77	22	that	that	PRON
ajst-10656	77	23	generates	generate	VERB
ajst-10656	77	24	an	an	DET
ajst-10656	77	25	artifactfree	artifactfree	ADJ
ajst-10656	77	26	image	image	NOUN
ajst-10656	77	27	from	from	ADP
ajst-10656	77	28	an	an	DET
ajst-10656	77	29	artifact	artifact	NOUN
ajst-10656	77	30	-	-	PUNCT
ajst-10656	77	31	containing	contain	VERB
ajst-10656	77	32	image	image	NOUN
ajst-10656	77	33	.	.	PUNCT
ajst-10656	78	1	f	f	PROPN
ajst-10656	78	2	represents	represent	VERB
ajst-10656	78	3	a	a	DET
ajst-10656	78	4	generator	generator	NOUN
ajst-10656	78	5	that	that	PRON
ajst-10656	78	6	generates	generate	VERB
ajst-10656	78	7	an	an	DET
ajst-10656	78	8	artifact	artifact	NOUN
ajst-10656	78	9	-	-	PUNCT
ajst-10656	78	10	affected	affect	VERB
ajst-10656	78	11	image	image	NOUN
ajst-10656	78	12	from	from	ADP
ajst-10656	78	13	an	an	DET
ajst-10656	78	14	artifact	artifact	ADJ
ajst-10656	78	15	-	-	PUNCT
ajst-10656	78	16	free	free	ADJ
ajst-10656	78	17	image	image	NOUN
ajst-10656	78	18	.	.	PUNCT
ajst-10656	79	1	x	x	PUNCT
ajst-10656	79	2	and	and	CCONJ
ajst-10656	79	3	y	y	PROPN
ajst-10656	79	4	represent	represent	VERB
ajst-10656	79	5	images	image	NOUN
ajst-10656	79	6	that	that	PRON
ajst-10656	79	7	are	be	AUX
ajst-10656	79	8	input	input	NOUN
ajst-10656	79	9	to	to	ADP
ajst-10656	79	10	generators	generator	NOUN
ajst-10656	79	11	g	g	PROPN
ajst-10656	79	12	and	and	CCONJ
ajst-10656	79	13	f.	f.	PROPN
ajst-10656	80	1	the	the	DET
ajst-10656	80	2	l1	l1	PROPN
ajst-10656	80	3	loss	loss	NOUN
ajst-10656	80	4	equation	equation	NOUN
ajst-10656	80	5	is	be	AUX
ajst-10656	80	6	:	:	PUNCT
ajst-10656	80	7			X
ajst-10656	80	8			NUM
ajst-10656	80	9			PROPN
ajst-10656	81	1	n	n	CCONJ
ajst-10656	81	2	i	i	PRON
ajst-10656	81	3	maskmaskimaskimaski	maskmaskimaskimaski	VERB
ajst-10656	81	4	xnmarx)f(xxxx)f(x	xnmarx)f(xxxx)f(x	PROPN
ajst-10656	81	5	n	n	CCONJ
ajst-10656	81	6	l	l	PROPN
ajst-10656	81	7	1	1	NUM
ajst-10656	81	8	111	111	NUM
ajst-10656	81	9	)	)	PUNCT
ajst-10656	81	10	)	)	PUNCT
ajst-10656	82	1	1()1	1()1	NUM
ajst-10656	82	2	(	(	PUNCT
ajst-10656	82	3	(	(	PUNCT
ajst-10656	82	4	1	1	NUM
ajst-10656	82	5	(	(	PUNCT
ajst-10656	82	6	3	3	NUM
ajst-10656	82	7	)	)	PUNCT
ajst-10656	82	8	where	where	SCONJ
ajst-10656	82	9	f	f	PROPN
ajst-10656	82	10	represents	represent	VERB
ajst-10656	82	11	the	the	DET
ajst-10656	82	12	generator	generator	NOUN
ajst-10656	82	13	.	.	PUNCT
ajst-10656	83	1	n	n	PROPN
ajst-10656	83	2	represents	represent	VERB
ajst-10656	83	3	the	the	DET
ajst-10656	83	4	total	total	ADJ
ajst-10656	83	5	number	number	NOUN
ajst-10656	83	6	of	of	ADP
ajst-10656	83	7	image	image	NOUN
ajst-10656	83	8	elements	element	NOUN
ajst-10656	83	9	.	.	PUNCT
ajst-10656	84	1	xi	xi	PROPN
ajst-10656	84	2	represents	represent	VERB
ajst-10656	84	3	the	the	DET
ajst-10656	84	4	input	input	NOUN
ajst-10656	84	5	image	image	NOUN
ajst-10656	84	6	.	.	PUNCT
ajst-10656	85	1	nmar	nmar	NOUN
ajst-10656	85	2	represents	represent	VERB
ajst-10656	85	3	the	the	DET
ajst-10656	85	4	a	a	DET
ajst-10656	85	5	prior	prior	ADJ
ajst-10656	85	6	image	image	NOUN
ajst-10656	85	7	processed	process	VERB
ajst-10656	85	8	by	by	ADP
ajst-10656	85	9	the	the	DET
ajst-10656	85	10	nmar	nmar	NOUN
ajst-10656	85	11	algorithm	algorithm	NOUN
ajst-10656	85	12	.	.	PUNCT
ajst-10656	86	1	xmask	xmask	PROPN
ajst-10656	86	2	represents	represent	VERB
ajst-10656	86	3	the	the	DET
ajst-10656	86	4	non	non	ADJ
ajst-10656	86	5	-	-	ADJ
ajst-10656	86	6	dark	dark	ADJ
ajst-10656	86	7	band	band	NOUN
ajst-10656	86	8	region	region	NOUN
ajst-10656	86	9	binary	binary	PROPN
ajst-10656	86	10	mask	mask	PROPN
ajst-10656	86	11	.	.	PUNCT
ajst-10656	87	1	3	3	X
ajst-10656	87	2	.	.	X
ajst-10656	87	3	experimental	experimental	ADJ
ajst-10656	87	4	results	result	NOUN
ajst-10656	87	5	this	this	DET
ajst-10656	87	6	experiment	experiment	NOUN
ajst-10656	87	7	is	be	AUX
ajst-10656	87	8	compared	compare	VERB
ajst-10656	87	9	with	with	ADP
ajst-10656	87	10	the	the	DET
ajst-10656	87	11	results	result	NOUN
ajst-10656	87	12	of	of	ADP
ajst-10656	87	13	bhc(beam	bhc(beam	NOUN
ajst-10656	87	14	-	-	PUNCT
ajst-10656	87	15	hardening	harden	VERB
ajst-10656	87	16	correction	correction	NOUN
ajst-10656	87	17	)	)	PUNCT
ajst-10656	87	18	,	,	PUNCT
ajst-10656	87	19	li	li	PROPN
ajst-10656	87	20	-	-	PROPN
ajst-10656	87	21	mar	mar	PROPN
ajst-10656	87	22	,	,	PUNCT
ajst-10656	87	23	nmar	nmar	NOUN
ajst-10656	87	24	and	and	CCONJ
ajst-10656	87	25	raw	raw	ADJ
ajst-10656	87	26	cyclegan	cyclegan	NOUN
ajst-10656	87	27	processing	processing	NOUN
ajst-10656	87	28	,	,	PUNCT
ajst-10656	87	29	respectively	respectively	ADV
ajst-10656	87	30	.	.	PUNCT
ajst-10656	88	1	the	the	DET
ajst-10656	88	2	display	display	NOUN
ajst-10656	88	3	window	window	NOUN
ajst-10656	88	4	is	be	AUX
ajst-10656	88	5	[	[	X
ajst-10656	88	6	40,400	40,400	NUM
ajst-10656	88	7	]	]	X
ajst-10656	88	8	hu	hu	PROPN
ajst-10656	88	9	.	.	PROPN
ajst-10656	88	10	142	142	NUM
ajst-10656	88	11	figure	figure	NOUN
ajst-10656	88	12	8	8	NUM
ajst-10656	88	13	.	.	PUNCT
ajst-10656	88	14	results	result	NOUN
ajst-10656	88	15	in	in	ADP
ajst-10656	88	16	small	small	ADJ
ajst-10656	88	17	field	field	NOUN
ajst-10656	88	18	of	of	ADP
ajst-10656	88	19	view	view	NOUN
ajst-10656	88	20	1	1	NUM
ajst-10656	88	21	figure	figure	NOUN
ajst-10656	88	22	9	9	NUM
ajst-10656	88	23	.	.	PUNCT
ajst-10656	88	24	results	result	NOUN
ajst-10656	88	25	in	in	ADP
ajst-10656	88	26	small	small	ADJ
ajst-10656	88	27	field	field	NOUN
ajst-10656	88	28	of	of	ADP
ajst-10656	88	29	view	view	NOUN
ajst-10656	88	30	2	2	NUM
ajst-10656	88	31	figure	figure	NOUN
ajst-10656	88	32	10	10	NUM
ajst-10656	88	33	.	.	PUNCT
ajst-10656	89	1	results	result	NOUN
ajst-10656	89	2	in	in	ADP
ajst-10656	89	3	large	large	ADJ
ajst-10656	89	4	field	field	NOUN
ajst-10656	89	5	of	of	ADP
ajst-10656	89	6	view	view	NOUN
ajst-10656	89	7	as	as	SCONJ
ajst-10656	89	8	can	can	AUX
ajst-10656	89	9	be	be	AUX
ajst-10656	89	10	seen	see	VERB
ajst-10656	89	11	in	in	ADP
ajst-10656	89	12	figs.8	figs.8	PROPN
ajst-10656	89	13	and	and	CCONJ
ajst-10656	89	14	9	9	NUM
ajst-10656	89	15	,	,	PUNCT
ajst-10656	89	16	the	the	DET
ajst-10656	89	17	bhc	bhc	NOUN
ajst-10656	89	18	algorithm	algorithm	NOUN
ajst-10656	89	19	retains	retain	VERB
ajst-10656	89	20	strong	strong	ADJ
ajst-10656	89	21	streak	streak	NOUN
ajst-10656	89	22	artifacts	artifact	NOUN
ajst-10656	89	23	and	and	CCONJ
ajst-10656	89	24	dark	dark	ADJ
ajst-10656	89	25	bands	band	NOUN
ajst-10656	89	26	in	in	ADP
ajst-10656	89	27	the	the	DET
ajst-10656	89	28	small	small	ADJ
ajst-10656	89	29	fov(field	fov(field	NOUN
ajst-10656	89	30	of	of	ADP
ajst-10656	89	31	view	view	NOUN
ajst-10656	89	32	)	)	PUNCT
ajst-10656	89	33	case	case	NOUN
ajst-10656	89	34	,	,	PUNCT
ajst-10656	89	35	and	and	CCONJ
ajst-10656	89	36	the	the	DET
ajst-10656	89	37	li	li	PROPN
ajst-10656	89	38	-	-	PROPN
ajst-10656	89	39	mar	mar	PROPN
ajst-10656	89	40	algorithm	algorithm	NOUN
ajst-10656	89	41	introduces	introduce	VERB
ajst-10656	89	42	strong	strong	ADJ
ajst-10656	89	43	streak	streak	VERB
ajst-10656	89	44	secondary	secondary	ADJ
ajst-10656	89	45	artifacts	artifact	NOUN
ajst-10656	89	46	throughout	throughout	ADP
ajst-10656	89	47	the	the	DET
ajst-10656	89	48	entire	entire	ADJ
ajst-10656	89	49	image.the	image.the	PRON
ajst-10656	89	50	143	143	NUM
ajst-10656	89	51	nmar	nmar	NOUN
ajst-10656	89	52	algorithm	algorithm	NOUN
ajst-10656	89	53	is	be	AUX
ajst-10656	89	54	better	well	ADJ
ajst-10656	89	55	,	,	PUNCT
ajst-10656	89	56	but	but	CCONJ
ajst-10656	89	57	still	still	ADV
ajst-10656	89	58	introduces	introduce	VERB
ajst-10656	89	59	strong	strong	ADJ
ajst-10656	89	60	streak	streak	VERB
ajst-10656	89	61	secondary	secondary	ADJ
ajst-10656	89	62	artifacts	artifact	NOUN
ajst-10656	89	63	near	near	ADP
ajst-10656	89	64	the	the	DET
ajst-10656	89	65	metal	metal	NOUN
ajst-10656	89	66	,	,	PUNCT
ajst-10656	89	67	and	and	CCONJ
ajst-10656	89	68	the	the	DET
ajst-10656	89	69	bone	bone	NOUN
ajst-10656	89	70	morphology	morphology	NOUN
ajst-10656	89	71	around	around	ADP
ajst-10656	89	72	the	the	DET
ajst-10656	89	73	metal	metal	NOUN
ajst-10656	89	74	is	be	AUX
ajst-10656	89	75	greatly	greatly	ADV
ajst-10656	89	76	changed	change	VERB
ajst-10656	89	77	.	.	PUNCT
ajst-10656	90	1	the	the	DET
ajst-10656	90	2	cyclegan	cyclegan	PROPN
ajst-10656	90	3	network	network	NOUN
ajst-10656	90	4	streak	streak	NOUN
ajst-10656	90	5	artifacts	artifact	NOUN
ajst-10656	90	6	removal	removal	NOUN
ajst-10656	90	7	effect	effect	NOUN
ajst-10656	90	8	is	be	AUX
ajst-10656	90	9	not	not	PART
ajst-10656	90	10	ideal	ideal	ADJ
ajst-10656	90	11	,	,	PUNCT
ajst-10656	90	12	and	and	CCONJ
ajst-10656	90	13	the	the	DET
ajst-10656	90	14	processing	processing	NOUN
ajst-10656	90	15	effect	effect	NOUN
ajst-10656	90	16	is	be	AUX
ajst-10656	90	17	very	very	ADV
ajst-10656	90	18	poor	poor	ADJ
ajst-10656	90	19	for	for	ADP
ajst-10656	90	20	the	the	DET
ajst-10656	90	21	dark	dark	ADJ
ajst-10656	90	22	band	band	NOUN
ajst-10656	90	23	artifacts	artifact	NOUN
ajst-10656	90	24	.	.	PUNCT
ajst-10656	91	1	the	the	DET
ajst-10656	91	2	algorithm	algorithm	NOUN
ajst-10656	91	3	proposed	propose	VERB
ajst-10656	91	4	in	in	ADP
ajst-10656	91	5	this	this	DET
ajst-10656	91	6	paper	paper	NOUN
ajst-10656	91	7	,	,	PUNCT
ajst-10656	91	8	on	on	ADP
ajst-10656	91	9	the	the	DET
ajst-10656	91	10	other	other	ADJ
ajst-10656	91	11	hand	hand	NOUN
ajst-10656	91	12	,	,	PUNCT
ajst-10656	91	13	can	can	AUX
ajst-10656	91	14	remove	remove	VERB
ajst-10656	91	15	the	the	DET
ajst-10656	91	16	streak	streak	NOUN
ajst-10656	91	17	artifacts	artifact	NOUN
ajst-10656	91	18	and	and	CCONJ
ajst-10656	91	19	repair	repair	VERB
ajst-10656	91	20	the	the	DET
ajst-10656	91	21	dark	dark	ADJ
ajst-10656	91	22	band	band	NOUN
ajst-10656	91	23	artifacts	artifact	NOUN
ajst-10656	91	24	well	well	ADV
ajst-10656	91	25	without	without	ADP
ajst-10656	91	26	introducing	introduce	VERB
ajst-10656	91	27	secondary	secondary	ADJ
ajst-10656	91	28	artifacts	artifact	NOUN
ajst-10656	91	29	.	.	PUNCT
ajst-10656	92	1	as	as	SCONJ
ajst-10656	92	2	can	can	AUX
ajst-10656	92	3	be	be	AUX
ajst-10656	92	4	seen	see	VERB
ajst-10656	92	5	in	in	ADP
ajst-10656	92	6	fig.3	fig.3	PROPN
ajst-10656	92	7	,	,	PUNCT
ajst-10656	92	8	the	the	DET
ajst-10656	92	9	bhc	bhc	NOUN
ajst-10656	92	10	algorithm	algorithm	NOUN
ajst-10656	92	11	introduces	introduce	VERB
ajst-10656	92	12	secondary	secondary	ADJ
ajst-10656	92	13	artifacts	artifact	NOUN
ajst-10656	92	14	in	in	ADP
ajst-10656	92	15	the	the	DET
ajst-10656	92	16	dark	dark	ADJ
ajst-10656	92	17	band	band	NOUN
ajst-10656	92	18	restoration	restoration	NOUN
ajst-10656	92	19	region	region	NOUN
ajst-10656	92	20	at	at	ADP
ajst-10656	92	21	large	large	ADJ
ajst-10656	92	22	fov	fov	NOUN
ajst-10656	92	23	.	.	PUNCT
ajst-10656	93	1	the	the	DET
ajst-10656	93	2	li	li	PROPN
ajst-10656	93	3	-	-	PROPN
ajst-10656	93	4	mar	mar	PROPN
ajst-10656	93	5	algorithm	algorithm	PROPN
ajst-10656	93	6	processed	process	VERB
ajst-10656	93	7	image	image	NOUN
ajst-10656	93	8	still	still	ADV
ajst-10656	93	9	introduces	introduce	VERB
ajst-10656	93	10	strong	strong	ADJ
ajst-10656	93	11	streak	streak	ADJ
ajst-10656	93	12	secondary	secondary	ADJ
ajst-10656	93	13	artifacts	artifact	NOUN
ajst-10656	93	14	throughout	throughout	ADP
ajst-10656	93	15	the	the	DET
ajst-10656	93	16	whole	whole	ADJ
ajst-10656	93	17	image	image	NOUN
ajst-10656	93	18	.	.	PUNCT
ajst-10656	94	1	the	the	DET
ajst-10656	94	2	nmar	nmar	PROPN
ajst-10656	94	3	algorithm	algorithm	NOUN
ajst-10656	94	4	processed	process	VERB
ajst-10656	94	5	the	the	DET
ajst-10656	94	6	image	image	NOUN
ajst-10656	94	7	better	well	ADV
ajst-10656	94	8	,	,	PUNCT
ajst-10656	94	9	but	but	CCONJ
ajst-10656	94	10	still	still	ADV
ajst-10656	94	11	introduces	introduce	VERB
ajst-10656	94	12	strong	strong	ADJ
ajst-10656	94	13	streak	streak	VERB
ajst-10656	94	14	secondary	secondary	ADJ
ajst-10656	94	15	artifacts	artifact	NOUN
ajst-10656	94	16	near	near	ADP
ajst-10656	94	17	the	the	DET
ajst-10656	94	18	metal	metal	NOUN
ajst-10656	94	19	.	.	PUNCT
ajst-10656	95	1	the	the	DET
ajst-10656	95	2	cyclegan	cyclegan	PROPN
ajst-10656	95	3	network	network	NOUN
ajst-10656	95	4	processed	process	VERB
ajst-10656	95	5	image	image	NOUN
ajst-10656	95	6	organization	organization	NOUN
ajst-10656	95	7	structure	structure	NOUN
ajst-10656	95	8	has	have	VERB
ajst-10656	95	9	a	a	DET
ajst-10656	95	10	large	large	ADJ
ajst-10656	95	11	deformation	deformation	NOUN
ajst-10656	95	12	.	.	PUNCT
ajst-10656	96	1	the	the	DET
ajst-10656	96	2	algorithm	algorithm	NOUN
ajst-10656	96	3	proposed	propose	VERB
ajst-10656	96	4	in	in	ADP
ajst-10656	96	5	this	this	DET
ajst-10656	96	6	paper	paper	NOUN
ajst-10656	96	7	maintains	maintain	VERB
ajst-10656	96	8	the	the	DET
ajst-10656	96	9	organization	organization	NOUN
ajst-10656	96	10	of	of	ADP
ajst-10656	96	11	the	the	DET
ajst-10656	96	12	original	original	ADJ
ajst-10656	96	13	image	image	NOUN
ajst-10656	96	14	well	well	ADV
ajst-10656	96	15	and	and	CCONJ
ajst-10656	96	16	has	have	VERB
ajst-10656	96	17	a	a	DET
ajst-10656	96	18	good	good	ADJ
ajst-10656	96	19	reduction	reduction	NOUN
ajst-10656	96	20	of	of	ADP
ajst-10656	96	21	dark	dark	ADJ
ajst-10656	96	22	bands	band	NOUN
ajst-10656	96	23	and	and	CCONJ
ajst-10656	96	24	streak	streak	NOUN
ajst-10656	96	25	artifacts	artifact	NOUN
ajst-10656	96	26	.	.	PUNCT
ajst-10656	97	1	4	4	X
ajst-10656	97	2	.	.	X
ajst-10656	97	3	implementation	implementation	NOUN
ajst-10656	97	4	details	detail	NOUN
ajst-10656	97	5	4.1	4.1	NUM
ajst-10656	97	6	.	.	PUNCT
ajst-10656	98	1	datasets	dataset	VERB
ajst-10656	98	2	this	this	DET
ajst-10656	98	3	experimental	experimental	ADJ
ajst-10656	98	4	dataset	dataset	NOUN
ajst-10656	98	5	uses	use	VERB
ajst-10656	98	6	real	real	ADJ
ajst-10656	98	7	ct	ct	NUM
ajst-10656	98	8	clinical	clinical	ADJ
ajst-10656	98	9	data	datum	NOUN
ajst-10656	98	10	and	and	CCONJ
ajst-10656	98	11	contains	contain	VERB
ajst-10656	98	12	1600	1600	NUM
ajst-10656	98	13	sheets	sheet	NOUN
ajst-10656	98	14	in	in	ADP
ajst-10656	98	15	total	total	NOUN
ajst-10656	98	16	.	.	PUNCT
ajst-10656	99	1	among	among	ADP
ajst-10656	99	2	them	they	PRON
ajst-10656	99	3	,	,	PUNCT
ajst-10656	99	4	1300	1300	NUM
ajst-10656	99	5	sheets	sheet	NOUN
ajst-10656	99	6	are	be	AUX
ajst-10656	99	7	used	use	VERB
ajst-10656	99	8	for	for	ADP
ajst-10656	99	9	training	training	NOUN
ajst-10656	99	10	and	and	CCONJ
ajst-10656	99	11	300	300	NUM
ajst-10656	99	12	sheets	sheet	NOUN
ajst-10656	99	13	are	be	AUX
ajst-10656	99	14	used	use	VERB
ajst-10656	99	15	for	for	ADP
ajst-10656	99	16	validation	validation	NOUN
ajst-10656	99	17	.	.	PUNCT
ajst-10656	100	1	among	among	ADP
ajst-10656	100	2	the	the	DET
ajst-10656	100	3	metallic	metallic	ADJ
ajst-10656	100	4	implant	implant	ADJ
ajst-10656	100	5	categories	category	NOUN
ajst-10656	100	6	are	be	AUX
ajst-10656	100	7	mainly	mainly	ADV
ajst-10656	100	8	spinal	spinal	ADJ
ajst-10656	100	9	fixation	fixation	NOUN
ajst-10656	100	10	nails	nail	NOUN
ajst-10656	100	11	and	and	CCONJ
ajst-10656	100	12	hip	hip	NOUN
ajst-10656	100	13	prostheses	prosthesis	NOUN
ajst-10656	100	14	.	.	PUNCT
ajst-10656	101	1	4.2	4.2	NUM
ajst-10656	101	2	.	.	PUNCT
ajst-10656	102	1	implementation	implementation	NOUN
ajst-10656	102	2	and	and	CCONJ
ajst-10656	102	3	training	training	NOUN
ajst-10656	102	4	details	detail	NOUN
ajst-10656	102	5	this	this	DET
ajst-10656	102	6	experiment	experiment	NOUN
ajst-10656	102	7	is	be	AUX
ajst-10656	102	8	based	base	VERB
ajst-10656	102	9	on	on	ADP
ajst-10656	102	10	network	network	NOUN
ajst-10656	102	11	training	training	NOUN
ajst-10656	102	12	on	on	ADP
ajst-10656	102	13	linux	linux	PROPN
ajst-10656	102	14	system	system	NOUN
ajst-10656	102	15	using	use	VERB
ajst-10656	102	16	nvidia	nvidia	PROPN
ajst-10656	102	17	geforce	geforce	NOUN
ajst-10656	102	18	rtx3090	rtx3090	VERB
ajst-10656	102	19	24	24	NUM
ajst-10656	102	20	gb	gb	PROPN
ajst-10656	102	21	gpu	gpu	PROPN
ajst-10656	102	22	,	,	PUNCT
ajst-10656	102	23	and	and	CCONJ
ajst-10656	102	24	the	the	DET
ajst-10656	102	25	overall	overall	ADJ
ajst-10656	102	26	framework	framework	NOUN
ajst-10656	102	27	is	be	AUX
ajst-10656	102	28	built	build	VERB
ajst-10656	102	29	based	base	VERB
ajst-10656	102	30	on	on	ADP
ajst-10656	102	31	pytorch.in	pytorch.in	NUM
ajst-10656	102	32	the	the	DET
ajst-10656	102	33	training	training	NOUN
ajst-10656	102	34	process	process	NOUN
ajst-10656	102	35	,	,	PUNCT
ajst-10656	102	36	the	the	DET
ajst-10656	102	37	optimizer	optimizer	NOUN
ajst-10656	102	38	used	use	VERB
ajst-10656	102	39	is	be	AUX
ajst-10656	102	40	the	the	DET
ajst-10656	102	41	adam	adam	PROPN
ajst-10656	102	42	optimizer	optimizer	NOUN
ajst-10656	102	43	with	with	ADP
ajst-10656	102	44	parameters	parameter	NOUN
ajst-10656	102	45	β1	β1	PROPN
ajst-10656	102	46	,	,	PUNCT
ajst-10656	102	47	β2	β2	NOUN
ajst-10656	102	48	0.5	0.5	NUM
ajst-10656	102	49	,	,	PUNCT
ajst-10656	102	50	0.999	0.999	NUM
ajst-10656	102	51	,	,	PUNCT
ajst-10656	102	52	batch	batch	NOUN
ajst-10656	102	53	size	size	NOUN
ajst-10656	102	54	is	be	AUX
ajst-10656	102	55	set	set	VERB
ajst-10656	102	56	to	to	ADP
ajst-10656	102	57	1	1	NUM
ajst-10656	102	58	,	,	PUNCT
ajst-10656	102	59	the	the	DET
ajst-10656	102	60	input	input	NOUN
ajst-10656	102	61	image	image	NOUN
ajst-10656	102	62	size	size	NOUN
ajst-10656	102	63	is	be	AUX
ajst-10656	102	64	512	512	NUM
ajst-10656	102	65	*	*	SYM
ajst-10656	102	66	512	512	NUM
ajst-10656	102	67	,	,	PUNCT
ajst-10656	102	68	and	and	CCONJ
ajst-10656	102	69	the	the	DET
ajst-10656	102	70	overall	overall	ADJ
ajst-10656	102	71	training	training	NOUN
ajst-10656	102	72	epoch	epoch	NOUN
ajst-10656	102	73	is	be	AUX
ajst-10656	102	74	set	set	VERB
ajst-10656	102	75	to	to	ADP
ajst-10656	102	76	200.in	200.in	NUM
ajst-10656	102	77	order	order	NOUN
ajst-10656	102	78	to	to	PART
ajst-10656	102	79	make	make	VERB
ajst-10656	102	80	the	the	DET
ajst-10656	102	81	training	training	NOUN
ajst-10656	102	82	smoother	smooth	ADJ
ajst-10656	102	83	,	,	PUNCT
ajst-10656	102	84	the	the	DET
ajst-10656	102	85	learning	learning	NOUN
ajst-10656	102	86	rate	rate	NOUN
ajst-10656	102	87	strategy	strategy	NOUN
ajst-10656	102	88	of	of	ADP
ajst-10656	102	89	this	this	DET
ajst-10656	102	90	experiment	experiment	NOUN
ajst-10656	102	91	adopts	adopt	VERB
ajst-10656	102	92	the	the	DET
ajst-10656	102	93	warm	warm	VERB
ajst-10656	102	94	-	-	PUNCT
ajst-10656	102	95	up	up	ADP
ajst-10656	102	96	mode	mode	NOUN
ajst-10656	102	97	,	,	PUNCT
ajst-10656	102	98	and	and	CCONJ
ajst-10656	102	99	the	the	DET
ajst-10656	102	100	base	base	NOUN
ajst-10656	102	101	learning	learning	NOUN
ajst-10656	102	102	rate	rate	NOUN
ajst-10656	102	103	is	be	AUX
ajst-10656	102	104	set	set	VERB
ajst-10656	102	105	to	to	ADP
ajst-10656	102	106	0.0001	0.0001	NUM
ajst-10656	102	107	.	.	PUNCT
ajst-10656	103	1	in	in	ADP
ajst-10656	103	2	order	order	NOUN
ajst-10656	103	3	to	to	PART
ajst-10656	103	4	enhance	enhance	VERB
ajst-10656	103	5	the	the	DET
ajst-10656	103	6	stability	stability	NOUN
ajst-10656	103	7	of	of	ADP
ajst-10656	103	8	the	the	DET
ajst-10656	103	9	model	model	NOUN
ajst-10656	103	10	and	and	CCONJ
ajst-10656	103	11	the	the	DET
ajst-10656	103	12	effect	effect	NOUN
ajst-10656	103	13	of	of	ADP
ajst-10656	103	14	artifact	artifact	ADJ
ajst-10656	103	15	reduction	reduction	NOUN
ajst-10656	103	16	,	,	PUNCT
ajst-10656	103	17	the	the	DET
ajst-10656	103	18	cyclic	cyclic	ADJ
ajst-10656	103	19	consistency	consistency	NOUN
ajst-10656	103	20	loss	loss	NOUN
ajst-10656	103	21	coefficient	coefficient	NOUN
ajst-10656	103	22	is	be	AUX
ajst-10656	103	23	set	set	VERB
ajst-10656	103	24	to	to	ADP
ajst-10656	103	25	20	20	NUM
ajst-10656	103	26	,	,	PUNCT
ajst-10656	103	27	and	and	CCONJ
ajst-10656	103	28	the	the	DET
ajst-10656	103	29	l1	l1	PROPN
ajst-10656	103	30	loss	loss	NOUN
ajst-10656	103	31	function	function	NOUN
ajst-10656	103	32	coefficient	coefficient	NOUN
ajst-10656	103	33	is	be	AUX
ajst-10656	103	34	set	set	VERB
ajst-10656	103	35	to	to	ADP
ajst-10656	103	36	15	15	NUM
ajst-10656	103	37	.	.	PUNCT
ajst-10656	104	1	in	in	ADP
ajst-10656	104	2	addition	addition	NOUN
ajst-10656	104	3	,	,	PUNCT
ajst-10656	104	4	in	in	ADP
ajst-10656	104	5	order	order	NOUN
ajst-10656	104	6	to	to	PART
ajst-10656	104	7	make	make	VERB
ajst-10656	104	8	the	the	DET
ajst-10656	104	9	network	network	NOUN
ajst-10656	104	10	's	's	PART
ajst-10656	104	11	artifact	artifact	ADJ
ajst-10656	104	12	reduction	reduction	NOUN
ajst-10656	104	13	effect	effect	NOUN
ajst-10656	104	14	better	well	ADV
ajst-10656	104	15	,	,	PUNCT
ajst-10656	104	16	the	the	DET
ajst-10656	104	17	input	input	NOUN
ajst-10656	104	18	of	of	ADP
ajst-10656	104	19	the	the	DET
ajst-10656	104	20	network	network	NOUN
ajst-10656	104	21	simultaneously	simultaneously	ADV
ajst-10656	104	22	takes	take	VERB
ajst-10656	104	23	the	the	DET
ajst-10656	104	24	nmar	nmar	NOUN
ajst-10656	104	25	-	-	PUNCT
ajst-10656	104	26	processed	process	VERB
ajst-10656	104	27	images	image	NOUN
ajst-10656	104	28	together	together	ADV
ajst-10656	104	29	as	as	ADP
ajst-10656	104	30	the	the	DET
ajst-10656	104	31	input	input	NOUN
ajst-10656	104	32	of	of	ADP
ajst-10656	104	33	the	the	DET
ajst-10656	104	34	overall	overall	ADJ
ajst-10656	104	35	network	network	NOUN
ajst-10656	104	36	,	,	PUNCT
ajst-10656	104	37	so	so	SCONJ
ajst-10656	104	38	that	that	SCONJ
ajst-10656	104	39	the	the	DET
ajst-10656	104	40	dark	dark	ADJ
ajst-10656	104	41	band	band	NOUN
ajst-10656	104	42	artifacts	artifact	NOUN
ajst-10656	104	43	can	can	AUX
ajst-10656	104	44	be	be	AUX
ajst-10656	104	45	better	well	ADV
ajst-10656	104	46	reduced	reduce	VERB
ajst-10656	104	47	.	.	PUNCT
ajst-10656	105	1	regarding	regard	VERB
ajst-10656	105	2	the	the	DET
ajst-10656	105	3	calculation	calculation	NOUN
ajst-10656	105	4	of	of	ADP
ajst-10656	105	5	l1	l1	PROPN
ajst-10656	105	6	loss	loss	NOUN
ajst-10656	105	7	,	,	PUNCT
ajst-10656	105	8	in	in	ADP
ajst-10656	105	9	order	order	NOUN
ajst-10656	105	10	to	to	PART
ajst-10656	105	11	ensure	ensure	VERB
ajst-10656	105	12	that	that	SCONJ
ajst-10656	105	13	the	the	DET
ajst-10656	105	14	output	output	NOUN
ajst-10656	105	15	image	image	NOUN
ajst-10656	105	16	is	be	AUX
ajst-10656	105	17	as	as	ADV
ajst-10656	105	18	close	close	ADJ
ajst-10656	105	19	as	as	ADP
ajst-10656	105	20	possible	possible	ADJ
ajst-10656	105	21	to	to	ADP
ajst-10656	105	22	the	the	DET
ajst-10656	105	23	information	information	NOUN
ajst-10656	105	24	of	of	ADP
ajst-10656	105	25	the	the	DET
ajst-10656	105	26	original	original	ADJ
ajst-10656	105	27	artifact	artifact	NOUN
ajst-10656	105	28	-	-	PUNCT
ajst-10656	105	29	affected	affect	VERB
ajst-10656	105	30	image	image	NOUN
ajst-10656	105	31	,	,	PUNCT
ajst-10656	105	32	the	the	DET
ajst-10656	105	33	calculation	calculation	NOUN
ajst-10656	105	34	of	of	ADP
ajst-10656	105	35	l1	l1	PROPN
ajst-10656	105	36	loss	loss	NOUN
ajst-10656	105	37	is	be	AUX
ajst-10656	105	38	divided	divide	VERB
ajst-10656	105	39	into	into	ADP
ajst-10656	105	40	two	two	NUM
ajst-10656	105	41	parts	part	NOUN
ajst-10656	105	42	,	,	PUNCT
ajst-10656	105	43	for	for	SCONJ
ajst-10656	105	44	metal	metal	NOUN
ajst-10656	105	45	and	and	CCONJ
ajst-10656	105	46	dark	dark	ADJ
ajst-10656	105	47	band	band	NOUN
ajst-10656	105	48	regions	region	NOUN
ajst-10656	105	49	l1	l1	PROPN
ajst-10656	105	50	loss	loss	NOUN
ajst-10656	105	51	is	be	AUX
ajst-10656	105	52	carried	carry	VERB
ajst-10656	105	53	out	out	ADP
ajst-10656	105	54	between	between	ADP
ajst-10656	105	55	the	the	DET
ajst-10656	105	56	output	output	NOUN
ajst-10656	105	57	image	image	NOUN
ajst-10656	105	58	and	and	CCONJ
ajst-10656	105	59	the	the	DET
ajst-10656	105	60	nmar	nmar	NOUN
ajst-10656	105	61	image	image	NOUN
ajst-10656	105	62	,	,	PUNCT
ajst-10656	105	63	and	and	CCONJ
ajst-10656	105	64	for	for	ADP
ajst-10656	105	65	non	non	ADJ
ajst-10656	105	66	-	-	ADJ
ajst-10656	105	67	metal	metal	ADJ
ajst-10656	105	68	and	and	CCONJ
ajst-10656	105	69	non	non	ADJ
ajst-10656	105	70	-	-	ADJ
ajst-10656	105	71	dark	dark	ADJ
ajst-10656	105	72	band	band	NOUN
ajst-10656	105	73	regions	region	NOUN
ajst-10656	105	74	l1	l1	PROPN
ajst-10656	105	75	loss	loss	NOUN
ajst-10656	105	76	is	be	AUX
ajst-10656	105	77	carried	carry	VERB
ajst-10656	105	78	out	out	ADP
ajst-10656	105	79	between	between	ADP
ajst-10656	105	80	the	the	DET
ajst-10656	105	81	output	output	NOUN
ajst-10656	105	82	image	image	NOUN
ajst-10656	105	83	and	and	CCONJ
ajst-10656	105	84	the	the	DET
ajst-10656	105	85	original	original	ADJ
ajst-10656	105	86	artifact	artifact	NOUN
ajst-10656	105	87	-	-	PUNCT
ajst-10656	105	88	affected	affect	VERB
ajst-10656	105	89	image	image	NOUN
ajst-10656	105	90	.	.	PUNCT
ajst-10656	106	1	5	5	X
ajst-10656	106	2	.	.	X
ajst-10656	106	3	conclusion	conclusion	NOUN
ajst-10656	106	4	this	this	DET
ajst-10656	106	5	paper	paper	NOUN
ajst-10656	106	6	is	be	AUX
ajst-10656	106	7	based	base	VERB
ajst-10656	106	8	on	on	ADP
ajst-10656	106	9	cyclegan	cyclegan	PROPN
ajst-10656	106	10	improved	improve	VERB
ajst-10656	106	11	unsupervised	unsupervised	ADJ
ajst-10656	106	12	network	network	NOUN
ajst-10656	106	13	model	model	NOUN
ajst-10656	106	14	,	,	PUNCT
ajst-10656	106	15	for	for	ADP
ajst-10656	106	16	cyclegan	cyclegan	NOUN
ajst-10656	106	17	's	's	PART
ajst-10656	106	18	generator	generator	NOUN
ajst-10656	106	19	is	be	AUX
ajst-10656	106	20	dealing	deal	VERB
ajst-10656	106	21	with	with	ADP
ajst-10656	106	22	natural	natural	ADJ
ajst-10656	106	23	images	image	NOUN
ajst-10656	106	24	,	,	PUNCT
ajst-10656	106	25	this	this	DET
ajst-10656	106	26	paper	paper	NOUN
ajst-10656	106	27	builds	build	VERB
ajst-10656	106	28	a	a	DET
ajst-10656	106	29	generator	generator	NOUN
ajst-10656	106	30	based	base	VERB
ajst-10656	106	31	on	on	ADP
ajst-10656	106	32	u	u	ADJ
ajst-10656	106	33	-	-	ADJ
ajst-10656	106	34	net	net	ADJ
ajst-10656	106	35	network	network	NOUN
ajst-10656	106	36	suitable	suitable	ADJ
ajst-10656	106	37	for	for	ADP
ajst-10656	106	38	small	small	ADJ
ajst-10656	106	39	sample	sample	NOUN
ajst-10656	106	40	features	feature	NOUN
ajst-10656	106	41	of	of	ADP
ajst-10656	106	42	medical	medical	ADJ
ajst-10656	106	43	images	image	NOUN
ajst-10656	106	44	.	.	PUNCT
ajst-10656	107	1	in	in	ADP
ajst-10656	107	2	order	order	NOUN
ajst-10656	107	3	to	to	PART
ajst-10656	107	4	increase	increase	VERB
ajst-10656	107	5	the	the	DET
ajst-10656	107	6	utilization	utilization	NOUN
ajst-10656	107	7	of	of	ADP
ajst-10656	107	8	small	small	ADJ
ajst-10656	107	9	sample	sample	NOUN
ajst-10656	107	10	image	image	NOUN
ajst-10656	107	11	information	information	NOUN
ajst-10656	107	12	,	,	PUNCT
ajst-10656	107	13	the	the	DET
ajst-10656	107	14	residual	residual	ADJ
ajst-10656	107	15	structure	structure	NOUN
ajst-10656	107	16	and	and	CCONJ
ajst-10656	107	17	attention	attention	NOUN
ajst-10656	107	18	mechanism	mechanism	NOUN
ajst-10656	107	19	are	be	AUX
ajst-10656	107	20	added	add	VERB
ajst-10656	107	21	to	to	ADP
ajst-10656	107	22	the	the	DET
ajst-10656	107	23	generator	generator	NOUN
ajst-10656	107	24	,	,	PUNCT
ajst-10656	107	25	which	which	PRON
ajst-10656	107	26	strengthens	strengthen	VERB
ajst-10656	107	27	the	the	DET
ajst-10656	107	28	ability	ability	NOUN
ajst-10656	107	29	of	of	ADP
ajst-10656	107	30	extracting	extract	VERB
ajst-10656	107	31	image	image	NOUN
ajst-10656	107	32	information	information	NOUN
ajst-10656	107	33	,	,	PUNCT
ajst-10656	107	34	enhances	enhance	VERB
ajst-10656	107	35	the	the	DET
ajst-10656	107	36	ability	ability	NOUN
ajst-10656	107	37	of	of	ADP
ajst-10656	107	38	reducing	reduce	VERB
ajst-10656	107	39	metal	metal	NOUN
ajst-10656	107	40	artifacts	artifact	NOUN
ajst-10656	107	41	,	,	PUNCT
ajst-10656	107	42	and	and	CCONJ
ajst-10656	107	43	can	can	AUX
ajst-10656	107	44	better	well	ADV
ajst-10656	107	45	retain	retain	VERB
ajst-10656	107	46	the	the	DET
ajst-10656	107	47	original	original	ADJ
ajst-10656	107	48	metal	metal	NOUN
ajst-10656	107	49	artifact	artifact	NOUN
ajst-10656	107	50	-	-	PUNCT
ajst-10656	107	51	containing	contain	VERB
ajst-10656	107	52	useful	useful	ADJ
ajst-10656	107	53	image	image	NOUN
ajst-10656	107	54	information	information	NOUN
ajst-10656	107	55	.	.	PUNCT
ajst-10656	108	1	comparative	comparative	ADJ
ajst-10656	108	2	experimental	experimental	ADJ
ajst-10656	108	3	results	result	NOUN
ajst-10656	108	4	show	show	VERB
ajst-10656	108	5	that	that	SCONJ
ajst-10656	108	6	this	this	DET
ajst-10656	108	7	network	network	NOUN
ajst-10656	108	8	can	can	AUX
ajst-10656	108	9	reduce	reduce	VERB
ajst-10656	108	10	metal	metal	NOUN
ajst-10656	108	11	artifacts	artifact	NOUN
ajst-10656	108	12	well	well	ADV
ajst-10656	108	13	.	.	PUNCT
ajst-10656	109	1	references	reference	NOUN
ajst-10656	109	2	[	[	X
ajst-10656	109	3	1	1	NUM
ajst-10656	109	4	]	]	PUNCT
ajst-10656	109	5	gordon	gordon	PROPN
ajst-10656	109	6	r	r	PROPN
ajst-10656	109	7	,	,	PUNCT
ajst-10656	109	8	bender	bender	NOUN
ajst-10656	109	9	r	r	NOUN
ajst-10656	109	10	,	,	PUNCT
ajst-10656	109	11	herman	herman	PROPN
ajst-10656	109	12	g	g	PROPN
ajst-10656	109	13	t	t	PROPN
ajst-10656	109	14	.algebraic	.algebraic	PUNCT
ajst-10656	109	15	reconstruction	reconstruction	NOUN
ajst-10656	109	16	techniques	technique	NOUN
ajst-10656	109	17	(	(	PUNCT
ajst-10656	109	18	art	art	NOUN
ajst-10656	109	19	)	)	PUNCT
ajst-10656	109	20	for	for	ADP
ajst-10656	109	21	three	three	NUM
ajst-10656	109	22	-	-	PUNCT
ajst-10656	109	23	dimensional	dimensional	ADJ
ajst-10656	109	24	electron	electron	NOUN
ajst-10656	109	25	microscopy	microscopy	NOUN
ajst-10656	109	26	and	and	CCONJ
ajst-10656	109	27	x	x	NOUN
ajst-10656	109	28	-	-	NOUN
ajst-10656	109	29	ray	ray	NOUN
ajst-10656	109	30	photography.[j].journal	photography.[j].journal	ADJ
ajst-10656	109	31	of	of	ADP
ajst-10656	109	32	theoretical	theoretical	ADJ
ajst-10656	109	33	biology	biology	NOUN
ajst-10656	109	34	,	,	PUNCT
ajst-10656	109	35	1970	1970	NUM
ajst-10656	109	36	,	,	PUNCT
ajst-10656	109	37	29(3):471,in1,477	29(3):471,in1,477	NOUN
ajst-10656	109	38	-	-	PUNCT
ajst-10656	109	39	476,in2,481.doi:10.1016/00225193(70)90109	476,in2,481.doi:10.1016/00225193(70)90109	VERB
ajst-10656	109	40	-	-	PUNCT
ajst-10656	109	41	8	8	NUM
ajst-10656	109	42	.	.	PUNCT
ajst-10656	110	1	[	[	X
ajst-10656	110	2	2	2	NUM
ajst-10656	110	3	]	]	PUNCT
ajst-10656	110	4	williamson	williamson	PROPN
ajst-10656	110	5	j	j	PROPN
ajst-10656	110	6	f	f	PROPN
ajst-10656	110	7	,	,	PUNCT
ajst-10656	110	8	whiting	white	VERB
ajst-10656	110	9	b	b	PROPN
ajst-10656	110	10	r	r	NOUN
ajst-10656	110	11	,	,	PUNCT
ajst-10656	110	12	benac	benac	ADJ
ajst-10656	110	13	j	j	PROPN
ajst-10656	110	14	,	,	PUNCT
ajst-10656	110	15	et	et	NOUN
ajst-10656	110	16	al.prospects	al.prospect	NOUN
ajst-10656	110	17	for	for	ADP
ajst-10656	110	18	quantitative	quantitative	ADJ
ajst-10656	110	19	ct	ct	NOUN
ajst-10656	110	20	imaging	imaging	NOUN
ajst-10656	110	21	in	in	ADP
ajst-10656	110	22	the	the	DET
ajst-10656	110	23	presence	presence	NOUN
ajst-10656	110	24	of	of	ADP
ajst-10656	110	25	foreign	foreign	ADJ
ajst-10656	110	26	metal	metal	NOUN
ajst-10656	110	27	bodies	body	NOUN
ajst-10656	110	28	using	use	VERB
ajst-10656	110	29	statistical	statistical	ADJ
ajst-10656	110	30	image	image	NOUN
ajst-10656	110	31	reconstruction[c]//proceedings	reconstruction[c]//proceeding	NOUN
ajst-10656	110	32	ieee	ieee	NOUN
ajst-10656	110	33	international	international	ADJ
ajst-10656	110	34	symposium	symposium	NOUN
ajst-10656	110	35	on	on	ADP
ajst-10656	110	36	biomedical	biomedical	ADJ
ajst-10656	110	37	imaging.0[2023	imaging.0[2023	PROPN
ajst-10656	110	38	-	-	PUNCT
ajst-10656	110	39	0724].doi:10.1109	0724].doi:10.1109	NOUN
ajst-10656	110	40	/	/	SYM
ajst-10656	110	41	isbi.2002.1029341	isbi.2002.1029341	NOUN
ajst-10656	110	42	.	.	PUNCT
ajst-10656	111	1	[	[	X
ajst-10656	111	2	3	3	X
ajst-10656	111	3	]	]	X
ajst-10656	111	4	kole	kole	PROPN
ajst-10656	111	5	j	j	PROPN
ajst-10656	111	6	s	s	PROPN
ajst-10656	111	7	,	,	PUNCT
ajst-10656	111	8	beekman	beekman	PROPN
ajst-10656	111	9	f	f	PROPN
ajst-10656	111	10	j	j	PROPN
ajst-10656	111	11	.evaluation	.evaluation	NOUN
ajst-10656	111	12	of	of	ADP
ajst-10656	111	13	the	the	DET
ajst-10656	111	14	ordered	order	VERB
ajst-10656	111	15	subset	subset	VERB
ajst-10656	111	16	convex	convex	NOUN
ajst-10656	111	17	algorithm	algorithm	NOUN
ajst-10656	111	18	for	for	ADP
ajst-10656	111	19	cone	cone	NOUN
ajst-10656	111	20	-	-	PUNCT
ajst-10656	111	21	beam	beam	NOUN
ajst-10656	111	22	ct[j].physics	ct[j].physics	PROPN
ajst-10656	111	23	in	in	ADP
ajst-10656	111	24	medicine	medicine	NOUN
ajst-10656	111	25	&	&	CCONJ
ajst-10656	111	26	biology	biology	NOUN
ajst-10656	111	27	,	,	PUNCT
ajst-10656	111	28	2005	2005	NUM
ajst-10656	111	29	,	,	PUNCT
ajst-10656	111	30	50(4):613.doi:10.1088/0031	50(4):613.doi:10.1088/0031	NOUN
ajst-10656	111	31	-	-	NOUN
ajst-10656	111	32	9155/50/4/004	9155/50/4/004	NOUN
ajst-10656	111	33	.	.	PUNCT
ajst-10656	112	1	[	[	X
ajst-10656	112	2	4	4	X
ajst-10656	112	3	]	]	PUNCT
ajst-10656	112	4	w.	w.	PROPN
ajst-10656	112	5	a.	a.	PROPN
ajst-10656	112	6	kalender	kalender	PROPN
ajst-10656	112	7	,	,	PUNCT
ajst-10656	112	8	r.	r.	PROPN
ajst-10656	112	9	hebel	hebel	PROPN
ajst-10656	112	10	,	,	PUNCT
ajst-10656	112	11	and	and	CCONJ
ajst-10656	112	12	j.	j.	PROPN
ajst-10656	112	13	ebersberger	ebersberger	PROPN
ajst-10656	112	14	,	,	PUNCT
ajst-10656	112	15	“	"	PUNCT
ajst-10656	112	16	reduction	reduction	NOUN
ajst-10656	112	17	of	of	ADP
ajst-10656	112	18	ct	ct	NUM
ajst-10656	112	19	artifacts	artifact	NOUN
ajst-10656	112	20	caused	cause	VERB
ajst-10656	112	21	by	by	ADP
ajst-10656	112	22	metallic	metallic	ADJ
ajst-10656	112	23	implants	implant	NOUN
ajst-10656	112	24	,	,	PUNCT
ajst-10656	112	25	”	"	PUNCT
ajst-10656	112	26	radiology	radiology	NOUN
ajst-10656	112	27	,	,	PUNCT
ajst-10656	112	28	vol	vol	NOUN
ajst-10656	112	29	.	.	NOUN
ajst-10656	112	30	164	164	NUM
ajst-10656	112	31	,	,	PUNCT
ajst-10656	112	32	no	no	INTJ
ajst-10656	112	33	.	.	NOUN
ajst-10656	112	34	2	2	NUM
ajst-10656	112	35	,	,	PUNCT
ajst-10656	112	36	pp	pp	ADJ
ajst-10656	112	37	.	.	PUNCT
ajst-10656	113	1	576–577	576–577	NUM
ajst-10656	113	2	,	,	PUNCT
ajst-10656	113	3	aug	aug	PROPN
ajst-10656	113	4	.	.	PROPN
ajst-10656	113	5	1987	1987	NUM
ajst-10656	113	6	.	.	PUNCT
ajst-10656	114	1	[	[	X
ajst-10656	114	2	5	5	X
ajst-10656	114	3	]	]	PUNCT
ajst-10656	114	4	meyer	meyer	PROPN
ajst-10656	114	5	e	e	PROPN
ajst-10656	114	6	,	,	PUNCT
ajst-10656	114	7	raupach	raupach	NOUN
ajst-10656	114	8	r	r	NOUN
ajst-10656	114	9	,	,	PUNCT
ajst-10656	114	10	lell	lell	PROPN
ajst-10656	114	11	m	m	PROPN
ajst-10656	114	12	,	,	PUNCT
ajst-10656	114	13	et	et	NOUN
ajst-10656	114	14	al.normalized	al.normalize	VERB
ajst-10656	114	15	metal	metal	NOUN
ajst-10656	114	16	artifact	artifact	NOUN
ajst-10656	114	17	reduction	reduction	NOUN
ajst-10656	114	18	(	(	PUNCT
ajst-10656	114	19	nmar	nmar	NOUN
ajst-10656	114	20	)	)	PUNCT
ajst-10656	114	21	in	in	ADP
ajst-10656	114	22	computed	compute	VERB
ajst-10656	114	23	tomography[j].medical	tomography[j].medical	ADJ
ajst-10656	114	24	physics	physic	NOUN
ajst-10656	114	25	,	,	PUNCT
ajst-10656	114	26	2010	2010	NUM
ajst-10656	114	27	,	,	PUNCT
ajst-10656	114	28	37(10).doi:10.1118/1.3484090	37(10).doi:10.1118/1.3484090	NUM
ajst-10656	114	29	.	.	PUNCT
ajst-10656	115	1	[	[	X
ajst-10656	115	2	6	6	NUM
ajst-10656	115	3	]	]	X
ajst-10656	115	4	o.	o.	NOUN
ajst-10656	115	5	ronneberger	ronneberger	NOUN
ajst-10656	115	6	,	,	PUNCT
ajst-10656	115	7	p.	p.	NOUN
ajst-10656	115	8	fischer	fischer	PROPN
ajst-10656	115	9	,	,	PUNCT
ajst-10656	115	10	and	and	CCONJ
ajst-10656	115	11	t.	t.	PROPN
ajst-10656	115	12	brox	brox	PROPN
ajst-10656	115	13	,	,	PUNCT
ajst-10656	115	14	“	"	PUNCT
ajst-10656	115	15	u	u	NOUN
ajst-10656	115	16	-	-	NOUN
ajst-10656	115	17	net	net	ADJ
ajst-10656	115	18	:	:	PUNCT
ajst-10656	115	19	convolutional	convolutional	ADJ
ajst-10656	115	20	networks	network	NOUN
ajst-10656	115	21	for	for	ADP
ajst-10656	115	22	biomedical	biomedical	ADJ
ajst-10656	115	23	image	image	NOUN
ajst-10656	115	24	segmentation	segmentation	NOUN
ajst-10656	115	25	,	,	PUNCT
ajst-10656	115	26	”	"	PUNCT
ajst-10656	115	27	in	in	ADP
ajst-10656	115	28	proceedings	proceeding	NOUN
ajst-10656	115	29	of	of	ADP
ajst-10656	115	30	the	the	DET
ajst-10656	115	31	international	international	ADJ
ajst-10656	115	32	conference	conference	NOUN
ajst-10656	115	33	on	on	ADP
ajst-10656	115	34	medical	medical	ADJ
ajst-10656	115	35	image	image	NOUN
ajst-10656	115	36	computing	computing	NOUN
ajst-10656	115	37	and	and	CCONJ
ajst-10656	115	38	computer	computer	NOUN
ajst-10656	115	39	-	-	PUNCT
ajst-10656	115	40	assisted	assist	VERB
ajst-10656	115	41	intervention	intervention	NOUN
ajst-10656	115	42	,	,	PUNCT
ajst-10656	115	43	pp	pp	ADJ
ajst-10656	115	44	.	.	PUNCT
ajst-10656	116	1	234–41	234–41	NUM
ajst-10656	116	2	,	,	PUNCT
ajst-10656	116	3	springer	springer	NOUN
ajst-10656	116	4	,	,	PUNCT
ajst-10656	116	5	2015	2015	NUM
ajst-10656	116	6	.	.	PUNCT
ajst-10656	117	1	[	[	X
ajst-10656	117	2	7	7	X
ajst-10656	117	3	]	]	X
ajst-10656	117	4	l.	l.	PROPN
ajst-10656	117	5	gjesteby	gjesteby	PROPN
ajst-10656	117	6	,	,	PUNCT
ajst-10656	117	7	q.	q.	PROPN
ajst-10656	117	8	yang	yang	PROPN
ajst-10656	117	9	,	,	PUNCT
ajst-10656	117	10	y.	y.	PROPN
ajst-10656	117	11	xi	xi	PROPN
ajst-10656	117	12	,	,	PUNCT
ajst-10656	117	13	h.	h.	PROPN
ajst-10656	117	14	shan	shan	PROPN
ajst-10656	117	15	,	,	PUNCT
ajst-10656	117	16	b.	b.	PROPN
ajst-10656	117	17	claus	claus	PROPN
ajst-10656	117	18	,	,	PUNCT
ajst-10656	117	19	y.	y.	PROPN
ajst-10656	117	20	jin	jin	PROPN
ajst-10656	117	21	,	,	PUNCT
ajst-10656	117	22	b.	b.	PROPN
ajst-10656	117	23	de	de	X
ajst-10656	117	24	man	man	PROPN
ajst-10656	117	25	,	,	PUNCT
ajst-10656	117	26	and	and	CCONJ
ajst-10656	117	27	g.	g.	PROPN
ajst-10656	117	28	wang	wang	PROPN
ajst-10656	117	29	,	,	PUNCT
ajst-10656	117	30	“	"	PUNCT
ajst-10656	117	31	deep	deep	ADJ
ajst-10656	117	32	learning	learning	NOUN
ajst-10656	117	33	methods	method	NOUN
ajst-10656	117	34	for	for	ADP
ajst-10656	117	35	ct	ct	PROPN
ajst-10656	117	36	imagedomain	imagedomain	ADJ
ajst-10656	117	37	metal	metal	NOUN
ajst-10656	117	38	artifact	artifact	NOUN
ajst-10656	117	39	reduction	reduction	NOUN
ajst-10656	117	40	,	,	PUNCT
ajst-10656	117	41	”	"	PUNCT
ajst-10656	117	42	in	in	ADP
ajst-10656	117	43	developments	development	NOUN
ajst-10656	117	44	in	in	ADP
ajst-10656	117	45	x	x	ADJ
ajst-10656	117	46	-	-	NOUN
ajst-10656	117	47	ray	ray	NOUN
ajst-10656	117	48	tomography	tomography	NOUN
ajst-10656	117	49	xi	xi	PROPN
ajst-10656	117	50	,	,	PUNCT
ajst-10656	117	51	vol	vol	NOUN
ajst-10656	117	52	.	.	PROPN
ajst-10656	117	53	10391	10391	NUM
ajst-10656	117	54	,	,	PUNCT
ajst-10656	117	55	p.	p.	NOUN
ajst-10656	117	56	103910w	103910w	NUM
ajst-10656	117	57	,	,	PUNCT
ajst-10656	117	58	international	international	ADJ
ajst-10656	117	59	society	society	NOUN
ajst-10656	117	60	for	for	ADP
ajst-10656	117	61	optics	optic	NOUN
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ajst-10656	117	64	,	,	PUNCT
ajst-10656	117	65	2017	2017	NUM
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ajst-10656	118	3	]	]	X
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ajst-10656	118	5	w	w	PROPN
ajst-10656	118	6	a	a	PROPN
ajst-10656	118	7	,	,	PUNCT
ajst-10656	118	8	liao	liao	PROPN
ajst-10656	118	9	h	h	PROPN
ajst-10656	118	10	,	,	PUNCT
ajst-10656	118	11	peng	peng	PROPN
ajst-10656	118	12	c	c	PROPN
ajst-10656	118	13	,	,	PUNCT
ajst-10656	118	14	et	et	PROPN
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ajst-10656	118	16	:	:	PUNCT
ajst-10656	118	17	dual	dual	ADJ
ajst-10656	118	18	domain	domain	NOUN
ajst-10656	118	19	network	network	NOUN
ajst-10656	118	20	for	for	ADP
ajst-10656	118	21	ct	ct	PROPN
ajst-10656	118	22	metal	metal	NOUN
ajst-10656	118	23	artifact	artifact	PROPN
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ajst-10656	118	25	,	,	PUNCT
ajst-10656	118	26	2019.doi:10.48550	2019.doi:10.48550	NUM
ajst-10656	118	27	/	/	SYM
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ajst-10656	118	29	.	.	PUNCT
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ajst-10656	119	2	9	9	NUM
ajst-10656	119	3	]	]	SYM
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ajst-10656	119	5	y	y	PROPN
ajst-10656	119	6	,	,	PUNCT
ajst-10656	119	7	lin	lin	PROPN
ajst-10656	119	8	w	w	PROPN
ajst-10656	119	9	a	a	PROPN
ajst-10656	119	10	,	,	PUNCT
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ajst-10656	119	12	j	j	PROPN
ajst-10656	119	13	,	,	PUNCT
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ajst-10656	119	16	:	:	PUNCT
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ajst-10656	119	18	mask	mask	NOUN
ajst-10656	119	19	projection	projection	NOUN
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ajst-10656	119	21	reduce	reduce	VERB
ajst-10656	119	22	ct	ct	NUM
ajst-10656	119	23	metal	metal	NOUN
ajst-10656	119	24	artifacts[j	artifacts[j	PROPN
ajst-10656	119	25	]	]	PUNCT
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ajst-10656	120	1	2020.doi:10.48550	2020.doi:10.48550	NUM
ajst-10656	120	2	/	/	SYM
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ajst-10656	120	4	.	.	PUNCT
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ajst-10656	121	2	10	10	NUM
ajst-10656	121	3	]	]	PUNCT
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ajst-10656	121	6	,	,	PUNCT
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ajst-10656	121	9	,	,	PUNCT
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ajst-10656	121	12	,	,	PUNCT
ajst-10656	121	13	et	et	NOUN
ajst-10656	121	14	al.deep	al.deep	PUNCT
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ajst-10656	121	16	completion	completion	NOUN
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ajst-10656	121	18	image	image	NOUN
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ajst-10656	121	20	for	for	ADP
ajst-10656	121	21	metal	metal	NOUN
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ajst-10656	121	25	ct	ct	PROPN
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ajst-10656	121	28	on	on	ADP
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ajst-10656	121	31	,	,	PUNCT
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ajst-10656	121	33	/	/	SYM
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ajst-10656	121	35	.	.	PUNCT
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ajst-10656	122	2	11	11	NUM
ajst-10656	122	3	]	]	PUNCT
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ajst-10656	122	5	t	t	PROPN
ajst-10656	122	6	,	,	PUNCT
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ajst-10656	122	9	,	,	PUNCT
ajst-10656	122	10	lu	lu	PROPN
ajst-10656	122	11	z	z	PROPN
ajst-10656	122	12	,	,	PUNCT
ajst-10656	122	13	et	et	PROPN
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ajst-10656	122	15	-	-	PUNCT
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ajst-10656	122	17	:	:	PUNCT
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ajst-10656	122	20	dualdomain	dualdomain	NOUN
ajst-10656	122	21	parallel	parallel	NOUN
ajst-10656	122	22	network	network	NOUN
ajst-10656	122	23	for	for	ADP
ajst-10656	122	24	ct	ct	PROPN
ajst-10656	122	25	metal	metal	NOUN
ajst-10656	122	26	artifact	artifact	NOUN
ajst-10656	122	27	reduction[j	reduction[j	NOUN
ajst-10656	122	28	]	]	PUNCT
ajst-10656	122	29	.	.	PUNCT
ajst-10656	123	1	2021.doi:10.48550	2021.doi:10.48550	NUM
ajst-10656	123	2	/	/	SYM
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ajst-10656	123	4	.	.	PUNCT
ajst-10656	124	1	[	[	X
ajst-10656	124	2	12	12	NUM
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ajst-10656	124	7	,	,	PUNCT
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ajst-10656	124	9	t	t	PROPN
ajst-10656	124	10	,	,	PUNCT
ajst-10656	124	11	isola	isola	PROPN
ajst-10656	124	12	p	p	PROPN
ajst-10656	124	13	,	,	PUNCT
ajst-10656	124	14	et	et	NOUN
ajst-10656	124	15	al.unpaired	al.unpaire	VERB
ajst-10656	124	16	image	image	NOUN
ajst-10656	124	17	-	-	PUNCT
ajst-10656	124	18	to	to	ADP
ajst-10656	124	19	-	-	PUNCT
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ajst-10656	124	21	translation	translation	NOUN
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ajst-10656	124	28	,	,	PUNCT
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ajst-10656	124	30	/	/	SYM
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ajst-10656	124	32	.	.	PUNCT
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ajst-10656	125	2	13	13	NUM
ajst-10656	125	3	]	]	SYM
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ajst-10656	125	6	,	,	PUNCT
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ajst-10656	125	9	,	,	PUNCT
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ajst-10656	125	11	t	t	PROPN
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ajst-10656	125	13	-	-	PUNCT
ajst-10656	125	14	net	net	NOUN
ajst-10656	125	15	:	:	PUNCT
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ajst-10656	125	17	networks	network	NOUN
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ajst-10656	125	20	image	image	NOUN
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ajst-10656	125	22	,	,	PUNCT
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ajst-10656	125	24	,	,	PUNCT
ajst-10656	125	25	cham	cham	NOUN
ajst-10656	125	26	,	,	PUNCT
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ajst-10656	125	28	-	-	SYM
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ajst-10656	125	30	-	-	PUNCT
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ajst-10656	125	32	-	-	PUNCT
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ajst-10656	125	34	.	.	PUNCT
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ajst-10656	126	2	14	14	NUM
ajst-10656	126	3	]	]	X
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ajst-10656	126	5	p	p	PROPN
ajst-10656	126	6	,	,	PUNCT
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ajst-10656	126	8	j	j	PROPN
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ajst-10656	126	10	,	,	PUNCT
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ajst-10656	126	13	,	,	PUNCT
ajst-10656	126	14	et	et	NOUN
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ajst-10656	126	16	-	-	PUNCT
ajst-10656	126	17	to	to	ADP
ajst-10656	126	18	-	-	PUNCT
ajst-10656	126	19	image	image	NOUN
ajst-10656	126	20	translation	translation	NOUN
ajst-10656	126	21	with	with	ADP
ajst-10656	126	22	conditional	conditional	ADJ
ajst-10656	126	23	adversarial	adversarial	ADJ
ajst-10656	126	24	networks[j].ieee	networks[j].ieee	NOUN
ajst-10656	126	25	,	,	PUNCT
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ajst-10656	126	27	/	/	SYM
ajst-10656	126	28	cvpr.2017.632	cvpr.2017.632	PROPN
ajst-10656	126	29	.	.	PUNCT