id	sid	tid	token	lemma	pos
ajst-8018	1	1	academic	academic	ADJ
ajst-8018	1	2	journal	journal	NOUN
ajst-8018	1	3	of	of	ADP
ajst-8018	1	4	science	science	NOUN
ajst-8018	1	5	and	and	CCONJ
ajst-8018	1	6	technology	technology	NOUN
ajst-8018	1	7	issn	issn	NOUN
ajst-8018	1	8	:	:	PUNCT
ajst-8018	1	9	2771	2771	NUM
ajst-8018	1	10	-	-	SYM
ajst-8018	1	11	3032	3032	NUM
ajst-8018	1	12	|	|	NOUN
ajst-8018	1	13	vol	vol	NOUN
ajst-8018	1	14	.	.	PROPN
ajst-8018	2	1	5	5	NUM
ajst-8018	2	2	,	,	PUNCT
ajst-8018	2	3	no	no	INTJ
ajst-8018	2	4	.	.	NOUN
ajst-8018	2	5	3	3	NUM
ajst-8018	2	6	,	,	PUNCT
ajst-8018	2	7	2023	2023	NUM
ajst-8018	2	8	225	225	NUM
ajst-8018	2	9	improvement	improvement	NOUN
ajst-8018	2	10	and	and	CCONJ
ajst-8018	2	11	application	application	NOUN
ajst-8018	2	12	of	of	ADP
ajst-8018	2	13	fusion	fusion	NOUN
ajst-8018	2	14	scheme	scheme	NOUN
ajst-8018	2	15	in	in	ADP
ajst-8018	2	16	automatic	automatic	ADJ
ajst-8018	2	17	medical	medical	ADJ
ajst-8018	2	18	image	image	NOUN
ajst-8018	2	19	analysis	analysis	NOUN
ajst-8018	2	20	-subtitle	-subtitle	NOUN
ajst-8018	2	21	is	be	AUX
ajst-8018	2	22	not	not	PART
ajst-8018	2	23	required	require	VERB
ajst-8018	2	24	,	,	PUNCT
ajst-8018	2	25	please	please	INTJ
ajst-8018	2	26	write	write	VERB
ajst-8018	2	27	it	it	PRON
ajst-8018	2	28	here	here	ADV
ajst-8018	2	29	if	if	SCONJ
ajst-8018	2	30	your	your	PRON
ajst-8018	2	31	article	article	NOUN
ajst-8018	2	32	has	have	VERB
ajst-8018	2	33	one	one	NUM
ajst-8018	2	34	minjun	minjun	NOUN
ajst-8018	2	35	liang1	liang1	PROPN
ajst-8018	2	36	,	,	PUNCT
ajst-8018	2	37	mingyang	mingyang	PROPN
ajst-8018	2	38	wei1	wei1	PROPN
ajst-8018	2	39	,	,	PUNCT
ajst-8018	2	40	yanan	yanan	PROPN
ajst-8018	2	41	li2	li2	PROPN
ajst-8018	2	42	,	,	PUNCT
ajst-8018	2	43	he	he	PRON
ajst-8018	2	44	tian1	tian1	PUNCT
ajst-8018	2	45	,	,	PUNCT
ajst-8018	2	46	yabei	yabei	NOUN
ajst-8018	2	47	li1	li1	VERB
ajst-8018	2	48	,	,	PUNCT
ajst-8018	2	49	*	*	SYM
ajst-8018	2	50	1	1	NUM
ajst-8018	2	51	school	school	NOUN
ajst-8018	2	52	of	of	ADP
ajst-8018	2	53	computer	computer	NOUN
ajst-8018	2	54	science	science	NOUN
ajst-8018	2	55	and	and	CCONJ
ajst-8018	2	56	technology	technology	NOUN
ajst-8018	2	57	,	,	PUNCT
ajst-8018	2	58	henan	henan	PROPN
ajst-8018	2	59	polytechnic	polytechnic	PROPN
ajst-8018	2	60	university	university	PROPN
ajst-8018	2	61	,	,	PUNCT
ajst-8018	2	62	jiaozuo	jiaozuo	PROPN
ajst-8018	2	63	,	,	PUNCT
ajst-8018	2	64	henan	henan	PROPN
ajst-8018	2	65	,	,	PUNCT
ajst-8018	2	66	454000	454000	NUM
ajst-8018	2	67	,	,	PUNCT
ajst-8018	3	1	p.	p.	PROPN
ajst-8018	3	2	r.	r.	PROPN
ajst-8018	4	1	china	china	PROPN
ajst-8018	4	2	2	2	NUM
ajst-8018	4	3	institute	institute	PROPN
ajst-8018	4	4	of	of	ADP
ajst-8018	4	5	orthopaedics	orthopaedic	NOUN
ajst-8018	4	6	and	and	CCONJ
ajst-8018	4	7	traumatology	traumatology	NOUN
ajst-8018	4	8	,	,	PUNCT
ajst-8018	4	9	the	the	DET
ajst-8018	4	10	first	first	ADJ
ajst-8018	4	11	affiliated	affiliated	ADJ
ajst-8018	4	12	hospital	hospital	NOUN
ajst-8018	4	13	of	of	ADP
ajst-8018	4	14	zhejiang	zhejiang	PROPN
ajst-8018	4	15	chinese	chinese	PROPN
ajst-8018	4	16	medical	medical	PROPN
ajst-8018	4	17	university	university	PROPN
ajst-8018	4	18	,	,	PUNCT
ajst-8018	4	19	hangzhou	hangzhou	PROPN
ajst-8018	4	20	,	,	PUNCT
ajst-8018	4	21	china	china	PROPN
ajst-8018	4	22	*	*	PUNCT
ajst-8018	4	23	corresponding	correspond	VERB
ajst-8018	4	24	author	author	NOUN
ajst-8018	4	25	:	:	PUNCT
ajst-8018	4	26	yabei	yabei	PROPN
ajst-8018	4	27	li	li	PROPN
ajst-8018	4	28	(	(	PUNCT
ajst-8018	4	29	liyabei@home.hpu.edu.cn	liyabei@home.hpu.edu.cn	PROPN
ajst-8018	4	30	)	)	PUNCT
ajst-8018	4	31	abstract	abstract	NOUN
ajst-8018	4	32	:	:	PUNCT
ajst-8018	4	33	the	the	DET
ajst-8018	4	34	research	research	NOUN
ajst-8018	4	35	in	in	ADP
ajst-8018	4	36	this	this	DET
ajst-8018	4	37	paper	paper	NOUN
ajst-8018	4	38	provides	provide	VERB
ajst-8018	4	39	generalization	generalization	NOUN
ajst-8018	4	40	and	and	CCONJ
ajst-8018	4	41	new	new	ADJ
ajst-8018	4	42	ideas	idea	NOUN
ajst-8018	4	43	for	for	ADP
ajst-8018	4	44	research	research	NOUN
ajst-8018	4	45	topics	topic	NOUN
ajst-8018	4	46	in	in	ADP
ajst-8018	4	47	computer	computer	NOUN
ajst-8018	4	48	-	-	PUNCT
ajst-8018	4	49	assisted	assist	VERB
ajst-8018	4	50	medicine	medicine	NOUN
ajst-8018	4	51	.	.	PUNCT
ajst-8018	5	1	the	the	DET
ajst-8018	5	2	main	main	ADJ
ajst-8018	5	3	improvement	improvement	NOUN
ajst-8018	5	4	efforts	effort	NOUN
ajst-8018	5	5	in	in	ADP
ajst-8018	5	6	deep	deep	ADJ
ajst-8018	5	7	learning	learning	NOUN
ajst-8018	5	8	-	-	PUNCT
ajst-8018	5	9	based	base	VERB
ajst-8018	5	10	multimodal	multimodal	NOUN
ajst-8018	5	11	fusion	fusion	NOUN
ajst-8018	5	12	schemes	scheme	NOUN
ajst-8018	5	13	,	,	PUNCT
ajst-8018	5	14	which	which	PRON
ajst-8018	5	15	provide	provide	VERB
ajst-8018	5	16	alternative	alternative	ADJ
ajst-8018	5	17	directions	direction	NOUN
ajst-8018	5	18	and	and	CCONJ
ajst-8018	5	19	robust	robust	ADJ
ajst-8018	5	20	feature	feature	NOUN
ajst-8018	5	21	fitting	fitting	ADJ
ajst-8018	5	22	performance	performance	NOUN
ajst-8018	5	23	for	for	ADP
ajst-8018	5	24	fusion	fusion	NOUN
ajst-8018	5	25	schemes	scheme	NOUN
ajst-8018	5	26	,	,	PUNCT
ajst-8018	5	27	are	be	AUX
ajst-8018	5	28	building	build	VERB
ajst-8018	5	29	complex	complex	ADJ
ajst-8018	5	30	structures	structure	NOUN
ajst-8018	5	31	,	,	PUNCT
ajst-8018	5	32	migrating	migrate	VERB
ajst-8018	5	33	knowledge	knowledge	NOUN
ajst-8018	5	34	or	or	CCONJ
ajst-8018	5	35	experience	experience	NOUN
ajst-8018	5	36	,	,	PUNCT
ajst-8018	5	37	processing	processing	NOUN
ajst-8018	5	38	and	and	CCONJ
ajst-8018	5	39	enhancing	enhance	VERB
ajst-8018	5	40	data	datum	NOUN
ajst-8018	5	41	,	,	PUNCT
ajst-8018	5	42	and	and	CCONJ
ajst-8018	5	43	targeting	target	VERB
ajst-8018	5	44	features	feature	NOUN
ajst-8018	5	45	for	for	ADP
ajst-8018	5	46	semantic	semantic	ADJ
ajst-8018	5	47	correction	correction	NOUN
ajst-8018	5	48	based	base	VERB
ajst-8018	5	49	on	on	ADP
ajst-8018	5	50	contextual	contextual	ADJ
ajst-8018	5	51	features	feature	NOUN
ajst-8018	5	52	.	.	PUNCT
ajst-8018	6	1	at	at	ADP
ajst-8018	6	2	the	the	DET
ajst-8018	6	3	application	application	NOUN
ajst-8018	6	4	level	level	NOUN
ajst-8018	6	5	,	,	PUNCT
ajst-8018	6	6	the	the	DET
ajst-8018	6	7	brain	brain	NOUN
ajst-8018	6	8	,	,	PUNCT
ajst-8018	6	9	liver	liver	NOUN
ajst-8018	6	10	,	,	PUNCT
ajst-8018	6	11	and	and	CCONJ
ajst-8018	6	12	lungs	lung	NOUN
ajst-8018	6	13	are	be	AUX
ajst-8018	6	14	the	the	DET
ajst-8018	6	15	main	main	ADJ
ajst-8018	6	16	targets	target	NOUN
ajst-8018	6	17	of	of	ADP
ajst-8018	6	18	scientific	scientific	ADJ
ajst-8018	6	19	research	research	NOUN
ajst-8018	6	20	,	,	PUNCT
ajst-8018	6	21	so	so	SCONJ
ajst-8018	6	22	this	this	DET
ajst-8018	6	23	paper	paper	NOUN
ajst-8018	6	24	surveys	survey	NOUN
ajst-8018	6	25	related	relate	VERB
ajst-8018	6	26	work	work	NOUN
ajst-8018	6	27	and	and	CCONJ
ajst-8018	6	28	analyzes	analyze	VERB
ajst-8018	6	29	the	the	DET
ajst-8018	6	30	reasons	reason	NOUN
ajst-8018	6	31	for	for	ADP
ajst-8018	6	32	performance	performance	NOUN
ajst-8018	6	33	gains	gain	NOUN
ajst-8018	6	34	.	.	PUNCT
ajst-8018	7	1	taken	take	VERB
ajst-8018	7	2	together	together	ADV
ajst-8018	7	3	,	,	PUNCT
ajst-8018	7	4	deep	deep	ADJ
ajst-8018	7	5	learning	learning	NOUN
ajst-8018	7	6	-	-	PUNCT
ajst-8018	7	7	based	base	VERB
ajst-8018	7	8	image	image	NOUN
ajst-8018	7	9	fusion	fusion	NOUN
ajst-8018	7	10	schemes	scheme	NOUN
ajst-8018	7	11	can	can	AUX
ajst-8018	7	12	assist	assist	VERB
ajst-8018	7	13	physicians	physician	NOUN
ajst-8018	7	14	in	in	ADP
ajst-8018	7	15	understanding	understand	VERB
ajst-8018	7	16	information	information	NOUN
ajst-8018	7	17	about	about	ADP
ajst-8018	7	18	lesion	lesion	NOUN
ajst-8018	7	19	sites	site	NOUN
ajst-8018	7	20	,	,	PUNCT
ajst-8018	7	21	lesion	lesion	NOUN
ajst-8018	7	22	types	type	NOUN
ajst-8018	7	23	,	,	PUNCT
ajst-8018	7	24	and	and	CCONJ
ajst-8018	7	25	sizes	size	NOUN
ajst-8018	7	26	,	,	PUNCT
ajst-8018	7	27	providing	provide	VERB
ajst-8018	7	28	an	an	DET
ajst-8018	7	29	important	important	ADJ
ajst-8018	7	30	basis	basis	NOUN
ajst-8018	7	31	for	for	ADP
ajst-8018	7	32	developing	develop	VERB
ajst-8018	7	33	personalized	personalized	ADJ
ajst-8018	7	34	treatment	treatment	NOUN
ajst-8018	7	35	plans	plan	NOUN
ajst-8018	7	36	,	,	PUNCT
ajst-8018	7	37	which	which	PRON
ajst-8018	7	38	is	be	AUX
ajst-8018	7	39	important	important	ADJ
ajst-8018	7	40	for	for	ADP
ajst-8018	7	41	improving	improve	VERB
ajst-8018	7	42	diagnosis	diagnosis	NOUN
ajst-8018	7	43	and	and	CCONJ
ajst-8018	7	44	specifying	specify	VERB
ajst-8018	7	45	precise	precise	ADJ
ajst-8018	7	46	treatment	treatment	NOUN
ajst-8018	7	47	plans	plan	NOUN
ajst-8018	7	48	.	.	PUNCT
ajst-8018	8	1	therefore	therefore	ADV
ajst-8018	8	2	,	,	PUNCT
ajst-8018	8	3	the	the	DET
ajst-8018	8	4	investigation	investigation	NOUN
ajst-8018	8	5	of	of	ADP
ajst-8018	8	6	medical	medical	ADJ
ajst-8018	8	7	image	image	NOUN
ajst-8018	8	8	fusion	fusion	NOUN
ajst-8018	8	9	schemes	scheme	NOUN
ajst-8018	8	10	is	be	AUX
ajst-8018	8	11	promising	promise	VERB
ajst-8018	8	12	and	and	CCONJ
ajst-8018	8	13	beneficial	beneficial	ADJ
ajst-8018	8	14	.	.	PUNCT
ajst-8018	9	1	keywords	keyword	NOUN
ajst-8018	9	2	:	:	PUNCT
ajst-8018	9	3	image	image	NOUN
ajst-8018	9	4	fusion	fusion	NOUN
ajst-8018	9	5	,	,	PUNCT
ajst-8018	9	6	medical	medical	ADJ
ajst-8018	9	7	image	image	NOUN
ajst-8018	9	8	analysis	analysis	NOUN
ajst-8018	9	9	,	,	PUNCT
ajst-8018	9	10	deep	deep	ADJ
ajst-8018	9	11	learning	learning	NOUN
ajst-8018	9	12	,	,	PUNCT
ajst-8018	9	13	multimodal	multimodal	ADJ
ajst-8018	9	14	image	image	NOUN
ajst-8018	9	15	fusion	fusion	NOUN
ajst-8018	9	16	.	.	PUNCT
ajst-8018	10	1	1	1	X
ajst-8018	10	2	.	.	X
ajst-8018	10	3	introduction	introduction	NOUN
ajst-8018	10	4	image	image	NOUN
ajst-8018	10	5	fusion	fusion	NOUN
ajst-8018	10	6	[	[	X
ajst-8018	10	7	1	1	NUM
ajst-8018	10	8	,	,	PUNCT
ajst-8018	10	9	2	2	NUM
ajst-8018	10	10	]	]	PUNCT
ajst-8018	10	11	is	be	AUX
ajst-8018	10	12	a	a	DET
ajst-8018	10	13	critical	critical	ADJ
ajst-8018	10	14	task	task	NOUN
ajst-8018	10	15	in	in	ADP
ajst-8018	10	16	the	the	DET
ajst-8018	10	17	medical	medical	ADJ
ajst-8018	10	18	field	field	NOUN
ajst-8018	10	19	to	to	PART
ajst-8018	10	20	combine	combine	VERB
ajst-8018	10	21	medical	medical	ADJ
ajst-8018	10	22	image	image	NOUN
ajst-8018	10	23	data	datum	NOUN
ajst-8018	10	24	from	from	ADP
ajst-8018	10	25	various	various	ADJ
ajst-8018	10	26	modalities	modality	NOUN
ajst-8018	10	27	into	into	ADP
ajst-8018	10	28	a	a	DET
ajst-8018	10	29	single	single	ADJ
ajst-8018	10	30	image	image	NOUN
ajst-8018	10	31	representation	representation	NOUN
ajst-8018	10	32	.	.	PUNCT
ajst-8018	11	1	maintaining	maintain	VERB
ajst-8018	11	2	the	the	DET
ajst-8018	11	3	spatial	spatial	ADJ
ajst-8018	11	4	alignment	alignment	NOUN
ajst-8018	11	5	of	of	ADP
ajst-8018	11	6	the	the	DET
ajst-8018	11	7	fused	fuse	VERB
ajst-8018	11	8	images	image	NOUN
ajst-8018	11	9	is	be	AUX
ajst-8018	11	10	a	a	DET
ajst-8018	11	11	fundamental	fundamental	ADJ
ajst-8018	11	12	requirement	requirement	NOUN
ajst-8018	11	13	for	for	ADP
ajst-8018	11	14	this	this	DET
ajst-8018	11	15	process	process	NOUN
ajst-8018	11	16	,	,	PUNCT
ajst-8018	11	17	and	and	CCONJ
ajst-8018	11	18	it	it	PRON
ajst-8018	11	19	should	should	AUX
ajst-8018	11	20	also	also	ADV
ajst-8018	11	21	be	be	AUX
ajst-8018	11	22	ensured	ensure	VERB
ajst-8018	11	23	that	that	SCONJ
ajst-8018	11	24	the	the	DET
ajst-8018	11	25	information	information	NOUN
ajst-8018	11	26	affecting	affect	VERB
ajst-8018	11	27	the	the	DET
ajst-8018	11	28	observation	observation	NOUN
ajst-8018	11	29	,	,	PUNCT
ajst-8018	11	30	such	such	ADJ
ajst-8018	11	31	as	as	ADP
ajst-8018	11	32	image	image	NOUN
ajst-8018	11	33	artifacts	artifact	NOUN
ajst-8018	11	34	and	and	CCONJ
ajst-8018	11	35	noise	noise	NOUN
ajst-8018	11	36	,	,	PUNCT
ajst-8018	11	37	is	be	AUX
ajst-8018	11	38	as	as	ADV
ajst-8018	11	39	minimal	minimal	ADJ
ajst-8018	11	40	as	as	ADP
ajst-8018	11	41	possible	possible	ADJ
ajst-8018	11	42	and	and	CCONJ
ajst-8018	11	43	that	that	SCONJ
ajst-8018	11	44	the	the	DET
ajst-8018	11	45	information	information	NOUN
ajst-8018	11	46	that	that	PRON
ajst-8018	11	47	is	be	AUX
ajst-8018	11	48	lacking	lack	VERB
ajst-8018	11	49	is	be	AUX
ajst-8018	11	50	supplemented	supplement	VERB
ajst-8018	11	51	by	by	ADP
ajst-8018	11	52	the	the	DET
ajst-8018	11	53	remaining	remain	VERB
ajst-8018	11	54	information	information	NOUN
ajst-8018	11	55	as	as	ADV
ajst-8018	11	56	much	much	ADV
ajst-8018	11	57	as	as	ADP
ajst-8018	11	58	possible	possible	ADJ
ajst-8018	11	59	.	.	PUNCT
ajst-8018	12	1	deep	deep	ADJ
ajst-8018	12	2	learning	learning	NOUN
ajst-8018	12	3	techniques	technique	NOUN
ajst-8018	12	4	have	have	AUX
ajst-8018	12	5	been	be	AUX
ajst-8018	12	6	widely	widely	ADV
ajst-8018	12	7	used	use	VERB
ajst-8018	12	8	and	and	CCONJ
ajst-8018	12	9	improved	improve	VERB
ajst-8018	12	10	in	in	ADP
ajst-8018	12	11	medical	medical	ADJ
ajst-8018	12	12	image	image	NOUN
ajst-8018	12	13	fusion	fusion	NOUN
ajst-8018	12	14	,	,	PUNCT
ajst-8018	12	15	and	and	CCONJ
ajst-8018	12	16	from	from	ADP
ajst-8018	12	17	the	the	DET
ajst-8018	12	18	perspective	perspective	NOUN
ajst-8018	12	19	of	of	ADP
ajst-8018	12	20	human	human	ADJ
ajst-8018	12	21	involvement	involvement	NOUN
ajst-8018	12	22	,	,	PUNCT
ajst-8018	12	23	fusion	fusion	NOUN
ajst-8018	12	24	schemes	scheme	NOUN
ajst-8018	12	25	in	in	ADP
ajst-8018	12	26	the	the	DET
ajst-8018	12	27	field	field	NOUN
ajst-8018	12	28	of	of	ADP
ajst-8018	12	29	medical	medical	ADJ
ajst-8018	12	30	image	image	NOUN
ajst-8018	12	31	analysis	analysis	NOUN
ajst-8018	12	32	can	can	AUX
ajst-8018	12	33	be	be	AUX
ajst-8018	12	34	divided	divide	VERB
ajst-8018	12	35	into	into	ADP
ajst-8018	12	36	manualbased	manualbase	VERB
ajst-8018	12	37	fusion	fusion	NOUN
ajst-8018	12	38	and	and	CCONJ
ajst-8018	12	39	automatic	automatic	ADJ
ajst-8018	12	40	adjustment	adjustment	NOUN
ajst-8018	12	41	-	-	PUNCT
ajst-8018	12	42	based	base	VERB
ajst-8018	12	43	fusion	fusion	NOUN
ajst-8018	12	44	schemes	scheme	NOUN
ajst-8018	12	45	.	.	PUNCT
ajst-8018	13	1	manually	manually	ADV
ajst-8018	13	2	designed	design	VERB
ajst-8018	13	3	fusion	fusion	NOUN
ajst-8018	13	4	schemes	scheme	NOUN
ajst-8018	13	5	require	require	VERB
ajst-8018	13	6	accurate	accurate	ADJ
ajst-8018	13	7	spatial	spatial	ADJ
ajst-8018	13	8	localization	localization	NOUN
ajst-8018	13	9	capability	capability	NOUN
ajst-8018	13	10	,	,	PUNCT
ajst-8018	13	11	generally	generally	ADV
ajst-8018	13	12	considered	consider	VERB
ajst-8018	13	13	from	from	ADP
ajst-8018	13	14	the	the	DET
ajst-8018	13	15	perspectives	perspective	NOUN
ajst-8018	13	16	of	of	ADP
ajst-8018	13	17	spatial	spatial	ADJ
ajst-8018	13	18	alignment	alignment	NOUN
ajst-8018	13	19	(	(	PUNCT
ajst-8018	13	20	feature	feature	NOUN
ajst-8018	13	21	vector	vector	NOUN
ajst-8018	13	22	agreement	agreement	NOUN
ajst-8018	13	23	)	)	PUNCT
ajst-8018	13	24	and	and	CCONJ
ajst-8018	13	25	spatial	spatial	ADJ
ajst-8018	13	26	distribution	distribution	NOUN
ajst-8018	13	27	(	(	PUNCT
ajst-8018	13	28	e.g.	e.g.	ADV
ajst-8018	13	29	,	,	PUNCT
ajst-8018	13	30	color	color	NOUN
ajst-8018	13	31	)	)	PUNCT
ajst-8018	13	32	,	,	PUNCT
ajst-8018	13	33	however	however	ADV
ajst-8018	13	34	,	,	PUNCT
ajst-8018	13	35	once	once	SCONJ
ajst-8018	13	36	the	the	DET
ajst-8018	13	37	image	image	NOUN
ajst-8018	13	38	distribution	distribution	NOUN
ajst-8018	13	39	has	have	VERB
ajst-8018	13	40	large	large	ADJ
ajst-8018	13	41	differences	difference	NOUN
ajst-8018	13	42	,	,	PUNCT
ajst-8018	13	43	these	these	DET
ajst-8018	13	44	schemes	scheme	NOUN
ajst-8018	13	45	will	will	AUX
ajst-8018	13	46	fail	fail	VERB
ajst-8018	13	47	the	the	DET
ajst-8018	13	48	task	task	NOUN
ajst-8018	13	49	due	due	ADP
ajst-8018	13	50	to	to	ADP
ajst-8018	13	51	spatial	spatial	ADJ
ajst-8018	13	52	distortion	distortion	NOUN
ajst-8018	13	53	and	and	CCONJ
ajst-8018	13	54	spectral	spectral	ADJ
ajst-8018	13	55	distortion	distortion	NOUN
ajst-8018	13	56	.	.	PUNCT
ajst-8018	14	1	figure	figure	NOUN
ajst-8018	14	2	1	1	NUM
ajst-8018	14	3	shows	show	VERB
ajst-8018	14	4	the	the	DET
ajst-8018	14	5	three	three	NUM
ajst-8018	14	6	main	main	ADJ
ajst-8018	14	7	ways	way	NOUN
ajst-8018	14	8	about	about	ADP
ajst-8018	14	9	how	how	SCONJ
ajst-8018	14	10	images	image	NOUN
ajst-8018	14	11	are	be	AUX
ajst-8018	14	12	fused	fuse	VERB
ajst-8018	14	13	.	.	PUNCT
ajst-8018	15	1	figure	figure	NOUN
ajst-8018	15	2	1	1	NUM
ajst-8018	15	3	.	.	PUNCT
ajst-8018	15	4	illustration	illustration	NOUN
ajst-8018	15	5	of	of	ADP
ajst-8018	15	6	common	common	ADJ
ajst-8018	15	7	type	type	NOUN
ajst-8018	15	8	of	of	ADP
ajst-8018	15	9	image	image	NOUN
ajst-8018	15	10	fusion	fusion	NOUN
ajst-8018	15	11	maintaining	maintain	VERB
ajst-8018	15	12	the	the	DET
ajst-8018	15	13	spatial	spatial	ADJ
ajst-8018	15	14	alignment	alignment	NOUN
ajst-8018	15	15	of	of	ADP
ajst-8018	15	16	the	the	DET
ajst-8018	15	17	fused	fuse	VERB
ajst-8018	15	18	images	image	NOUN
ajst-8018	15	19	is	be	AUX
ajst-8018	15	20	a	a	DET
ajst-8018	15	21	fundamental	fundamental	ADJ
ajst-8018	15	22	requirement	requirement	NOUN
ajst-8018	15	23	in	in	ADP
ajst-8018	15	24	the	the	DET
ajst-8018	15	25	medical	medical	ADJ
ajst-8018	15	26	field	field	NOUN
ajst-8018	15	27	,	,	PUNCT
ajst-8018	15	28	where	where	SCONJ
ajst-8018	15	29	image	image	NOUN
ajst-8018	15	30	fusion	fusion	NOUN
ajst-8018	15	31	is	be	AUX
ajst-8018	15	32	a	a	DET
ajst-8018	15	33	key	key	ADJ
ajst-8018	15	34	task	task	NOUN
ajst-8018	15	35	to	to	ADP
ajst-8018	15	36	integrating	integrate	VERB
ajst-8018	15	37	medical	medical	ADJ
ajst-8018	15	38	image	image	NOUN
ajst-8018	15	39	information	information	NOUN
ajst-8018	15	40	from	from	ADP
ajst-8018	15	41	various	various	ADJ
ajst-8018	15	42	modalities	modality	NOUN
ajst-8018	15	43	into	into	ADP
ajst-8018	15	44	a	a	DET
ajst-8018	15	45	unified	unified	ADJ
ajst-8018	15	46	image	image	NOUN
ajst-8018	15	47	representation	representation	NOUN
ajst-8018	15	48	.	.	PUNCT
ajst-8018	16	1	it	it	PRON
ajst-8018	16	2	should	should	AUX
ajst-8018	16	3	also	also	ADV
ajst-8018	16	4	be	be	AUX
ajst-8018	16	5	ensured	ensure	VERB
ajst-8018	16	6	that	that	SCONJ
ajst-8018	16	7	the	the	DET
ajst-8018	16	8	information	information	NOUN
ajst-8018	16	9	affecting	affect	VERB
ajst-8018	16	10	the	the	DET
ajst-8018	16	11	observation	observation	NOUN
ajst-8018	16	12	,	,	PUNCT
ajst-8018	16	13	such	such	ADJ
ajst-8018	16	14	as	as	ADP
ajst-8018	16	15	image	image	NOUN
ajst-8018	16	16	artifacts	artifact	NOUN
ajst-8018	16	17	and	and	CCONJ
ajst-8018	16	18	noise	noise	NOUN
ajst-8018	16	19	,	,	PUNCT
ajst-8018	16	20	is	be	AUX
ajst-8018	16	21	as	as	ADV
ajst-8018	16	22	minimal	minimal	ADJ
ajst-8018	16	23	as	as	ADP
ajst-8018	16	24	possible	possible	ADJ
ajst-8018	16	25	,	,	PUNCT
ajst-8018	16	26	and	and	CCONJ
ajst-8018	16	27	that	that	SCONJ
ajst-8018	16	28	the	the	DET
ajst-8018	16	29	lacking	lacking	ADJ
ajst-8018	16	30	information	information	NOUN
ajst-8018	16	31	is	be	AUX
ajst-8018	16	32	supplemented	supplement	VERB
ajst-8018	16	33	by	by	ADP
ajst-8018	16	34	each	each	DET
ajst-8018	16	35	other	other	ADJ
ajst-8018	16	36	as	as	ADV
ajst-8018	16	37	much	much	ADV
ajst-8018	16	38	as	as	ADP
ajst-8018	16	39	possible	possible	ADJ
ajst-8018	16	40	[	[	X
ajst-8018	16	41	3	3	NUM
ajst-8018	16	42	]	]	PUNCT
ajst-8018	16	43	.	.	PUNCT
ajst-8018	17	1	in	in	ADP
ajst-8018	17	2	the	the	DET
ajst-8018	17	3	field	field	NOUN
ajst-8018	17	4	of	of	ADP
ajst-8018	17	5	medical	medical	ADJ
ajst-8018	17	6	image	image	NOUN
ajst-8018	17	7	analysis	analysis	NOUN
ajst-8018	17	8	,	,	PUNCT
ajst-8018	17	9	fusion	fusion	NOUN
ajst-8018	17	10	algorithms	algorithm	NOUN
ajst-8018	17	11	may	may	AUX
ajst-8018	17	12	be	be	AUX
ajst-8018	17	13	classified	classify	VERB
ajst-8018	17	14	into	into	ADP
ajst-8018	17	15	those	those	PRON
ajst-8018	17	16	based	base	VERB
ajst-8018	17	17	on	on	ADP
ajst-8018	17	18	manual	manual	ADJ
ajst-8018	17	19	fusion	fusion	NOUN
ajst-8018	17	20	and	and	CCONJ
ajst-8018	17	21	those	those	PRON
ajst-8018	17	22	based	base	VERB
ajst-8018	17	23	on	on	ADP
ajst-8018	17	24	the	the	DET
ajst-8018	17	25	automated	automate	VERB
ajst-8018	17	26	correction	correction	NOUN
ajst-8018	17	27	.	.	PUNCT
ajst-8018	18	1	deep	deep	ADJ
ajst-8018	18	2	learning	learning	NOUN
ajst-8018	18	3	approaches	approach	NOUN
ajst-8018	18	4	have	have	AUX
ajst-8018	18	5	been	be	AUX
ajst-8018	18	6	extensively	extensively	ADV
ajst-8018	18	7	used	use	VERB
ajst-8018	18	8	and	and	CCONJ
ajst-8018	18	9	enhanced	enhance	VERB
ajst-8018	18	10	in	in	ADP
ajst-8018	18	11	this	this	DET
ajst-8018	18	12	area	area	NOUN
ajst-8018	18	13	.	.	PUNCT
ajst-8018	19	1	however	however	ADV
ajst-8018	19	2	,	,	PUNCT
ajst-8018	19	3	once	once	SCONJ
ajst-8018	19	4	the	the	DET
ajst-8018	19	5	image	image	NOUN
ajst-8018	19	6	distribution	distribution	NOUN
ajst-8018	19	7	has	have	VERB
ajst-8018	19	8	significant	significant	ADJ
ajst-8018	19	9	differences	difference	NOUN
ajst-8018	19	10	,	,	PUNCT
ajst-8018	19	11	these	these	DET
ajst-8018	19	12	schemes	scheme	NOUN
ajst-8018	19	13	will	will	AUX
ajst-8018	19	14	fail	fail	VERB
ajst-8018	19	15	the	the	DET
ajst-8018	19	16	task	task	NOUN
ajst-8018	19	17	due	due	ADP
ajst-8018	19	18	to	to	ADP
ajst-8018	19	19	spatial	spatial	ADJ
ajst-8018	19	20	distortion	distortion	NOUN
ajst-8018	19	21	and	and	CCONJ
ajst-8018	19	22	spectral	spectral	ADJ
ajst-8018	19	23	distortion	distortion	NOUN
ajst-8018	19	24	[	[	X
ajst-8018	19	25	4	4	NUM
ajst-8018	19	26	]	]	PUNCT
ajst-8018	19	27	.	.	PUNCT
ajst-8018	20	1	manually	manually	ADV
ajst-8018	20	2	designed	design	VERB
ajst-8018	20	3	fusion	fusion	NOUN
ajst-8018	20	4	schemes	scheme	NOUN
ajst-8018	20	5	require	require	VERB
ajst-8018	20	6	accurate	accurate	ADJ
ajst-8018	20	7	spatial	spatial	ADJ
ajst-8018	20	8	localization	localization	NOUN
ajst-8018	20	9	capabilities	capability	NOUN
ajst-8018	20	10	,	,	PUNCT
ajst-8018	20	11	which	which	PRON
ajst-8018	20	12	are	be	AUX
ajst-8018	20	13	typically	typically	ADV
ajst-8018	20	14	considered	consider	VERB
ajst-8018	20	15	in	in	ADP
ajst-8018	20	16	terms	term	NOUN
ajst-8018	20	17	of	of	ADP
ajst-8018	20	18	spatial	spatial	ADJ
ajst-8018	20	19	alignment	alignment	NOUN
ajst-8018	20	20	(	(	PUNCT
ajst-8018	20	21	feature	feature	NOUN
ajst-8018	20	22	vector	vector	NOUN
ajst-8018	20	23	agreement	agreement	NOUN
ajst-8018	20	24	)	)	PUNCT
ajst-8018	20	25	and	and	CCONJ
ajst-8018	20	26	spatial	spatial	ADJ
ajst-8018	20	27	distribution	distribution	NOUN
ajst-8018	20	28	(	(	PUNCT
ajst-8018	20	29	e.g.	e.g.	ADV
ajst-8018	20	30	,	,	PUNCT
ajst-8018	20	31	color	color	NOUN
ajst-8018	20	32	)	)	PUNCT
ajst-8018	20	33	.	.	PUNCT
ajst-8018	21	1	these	these	DET
ajst-8018	21	2	issues	issue	NOUN
ajst-8018	21	3	can	can	AUX
ajst-8018	21	4	be	be	AUX
ajst-8018	21	5	effectively	effectively	ADV
ajst-8018	21	6	avoided	avoid	VERB
ajst-8018	21	7	with	with	ADP
ajst-8018	21	8	the	the	DET
ajst-8018	21	9	help	help	NOUN
ajst-8018	21	10	of	of	ADP
ajst-8018	21	11	some	some	DET
ajst-8018	21	12	schemes	scheme	NOUN
ajst-8018	21	13	that	that	PRON
ajst-8018	21	14	do	do	AUX
ajst-8018	21	15	not	not	PART
ajst-8018	21	16	use	use	VERB
ajst-8018	21	17	image	image	NOUN
ajst-8018	21	18	space	space	NOUN
ajst-8018	21	19	,	,	PUNCT
ajst-8018	21	20	such	such	ADJ
ajst-8018	21	21	as	as	SCONJ
ajst-8018	21	22	wavelet	wavelet	NOUN
ajst-8018	21	23	transforms	transform	VERB
ajst-8018	21	24	with	with	ADP
ajst-8018	21	25	null	null	ADJ
ajst-8018	21	26	226	226	NUM
ajst-8018	21	27	frequency	frequency	NOUN
ajst-8018	21	28	transforms	transform	VERB
ajst-8018	21	29	[	[	X
ajst-8018	21	30	5	5	NUM
ajst-8018	21	31	]	]	PUNCT
ajst-8018	21	32	,	,	PUNCT
ajst-8018	21	33	the	the	DET
ajst-8018	21	34	division	division	NOUN
ajst-8018	21	35	of	of	ADP
ajst-8018	21	36	image	image	NOUN
ajst-8018	21	37	frequency	frequency	NOUN
ajst-8018	21	38	domain	domain	NOUN
ajst-8018	21	39	features	feature	NOUN
ajst-8018	21	40	into	into	ADP
ajst-8018	21	41	multiple	multiple	ADJ
ajst-8018	21	42	bands	band	NOUN
ajst-8018	21	43	,	,	PUNCT
ajst-8018	21	44	or	or	CCONJ
ajst-8018	21	45	sparse	sparse	ADJ
ajst-8018	21	46	representation	representation	NOUN
ajst-8018	21	47	schemes	scheme	NOUN
ajst-8018	21	48	based	base	VERB
ajst-8018	21	49	on	on	ADP
ajst-8018	21	50	dictionary	dictionary	ADJ
ajst-8018	21	51	learning	learning	NOUN
ajst-8018	22	1	[	[	X
ajst-8018	22	2	6	6	NUM
ajst-8018	22	3	]	]	PUNCT
ajst-8018	22	4	.	.	PUNCT
ajst-8018	23	1	however	however	ADV
ajst-8018	23	2	,	,	PUNCT
ajst-8018	23	3	these	these	DET
ajst-8018	23	4	indirect	indirect	ADJ
ajst-8018	23	5	transform	transform	VERB
ajst-8018	23	6	-	-	PUNCT
ajst-8018	23	7	like	like	ADJ
ajst-8018	23	8	schemes	scheme	NOUN
ajst-8018	23	9	require	require	VERB
ajst-8018	23	10	more	more	ADV
ajst-8018	23	11	computational	computational	ADJ
ajst-8018	23	12	work	work	NOUN
ajst-8018	23	13	,	,	PUNCT
ajst-8018	23	14	are	be	AUX
ajst-8018	23	15	more	more	ADJ
ajst-8018	23	16	time	time	NOUN
ajst-8018	23	17	-	-	PUNCT
ajst-8018	23	18	consuming	consume	VERB
ajst-8018	23	19	,	,	PUNCT
ajst-8018	23	20	and	and	CCONJ
ajst-8018	23	21	are	be	AUX
ajst-8018	23	22	more	more	ADV
ajst-8018	23	23	complex	complex	ADJ
ajst-8018	23	24	.	.	PUNCT
ajst-8018	24	1	therefore	therefore	ADV
ajst-8018	24	2	,	,	PUNCT
ajst-8018	24	3	high	high	ADJ
ajst-8018	24	4	assured	assured	ADJ
ajst-8018	24	5	feature	feature	NOUN
ajst-8018	24	6	quality	quality	NOUN
ajst-8018	24	7	in	in	ADP
ajst-8018	24	8	the	the	DET
ajst-8018	24	9	spatial	spatial	ADJ
ajst-8018	24	10	domain	domain	NOUN
ajst-8018	24	11	and	and	CCONJ
ajst-8018	24	12	low	low	ADJ
ajst-8018	24	13	-	-	PUNCT
ajst-8018	24	14	cost	cost	NOUN
ajst-8018	24	15	computation	computation	NOUN
ajst-8018	24	16	based	base	VERB
ajst-8018	24	17	on	on	ADP
ajst-8018	24	18	the	the	DET
ajst-8018	24	19	non	non	ADJ
ajst-8018	24	20	-	-	ADJ
ajst-8018	24	21	spatial	spatial	ADJ
ajst-8018	24	22	domain	domain	NOUN
ajst-8018	24	23	are	be	AUX
ajst-8018	24	24	the	the	DET
ajst-8018	24	25	core	core	ADJ
ajst-8018	24	26	components	component	NOUN
ajst-8018	24	27	of	of	ADP
ajst-8018	24	28	manual	manual	NOUN
ajst-8018	24	29	-	-	PUNCT
ajst-8018	24	30	based	base	VERB
ajst-8018	24	31	design	design	NOUN
ajst-8018	24	32	approaches	approach	NOUN
ajst-8018	24	33	.	.	PUNCT
ajst-8018	25	1	by	by	ADP
ajst-8018	25	2	allowing	allow	VERB
ajst-8018	25	3	the	the	DET
ajst-8018	25	4	fusion	fusion	NOUN
ajst-8018	25	5	mechanism	mechanism	NOUN
ajst-8018	25	6	to	to	PART
ajst-8018	25	7	automatically	automatically	ADV
ajst-8018	25	8	modify	modify	VERB
ajst-8018	25	9	the	the	DET
ajst-8018	25	10	best	good	ADJ
ajst-8018	25	11	matching	matching	NOUN
ajst-8018	25	12	material	material	NOUN
ajst-8018	25	13	depending	depend	VERB
ajst-8018	25	14	on	on	ADP
ajst-8018	25	15	the	the	DET
ajst-8018	25	16	task	task	NOUN
ajst-8018	25	17	goals	goal	NOUN
ajst-8018	25	18	,	,	PUNCT
ajst-8018	25	19	the	the	DET
ajst-8018	25	20	deep	deep	ADJ
ajst-8018	25	21	learning	learning	NOUN
ajst-8018	25	22	-	-	PUNCT
ajst-8018	25	23	based	base	VERB
ajst-8018	25	24	automatic	automatic	ADJ
ajst-8018	25	25	adaptation	adaptation	NOUN
ajst-8018	25	26	strategy	strategy	NOUN
ajst-8018	25	27	has	have	VERB
ajst-8018	25	28	more	more	ADJ
ajst-8018	25	29	flexibility	flexibility	NOUN
ajst-8018	25	30	and	and	CCONJ
ajst-8018	25	31	may	may	AUX
ajst-8018	25	32	ultimately	ultimately	ADV
ajst-8018	25	33	enhance	enhance	VERB
ajst-8018	25	34	the	the	DET
ajst-8018	25	35	model	model	NOUN
ajst-8018	25	36	's	's	PART
ajst-8018	25	37	performance	performance	NOUN
ajst-8018	25	38	.	.	PUNCT
ajst-8018	26	1	additionally	additionally	ADV
ajst-8018	26	2	,	,	PUNCT
ajst-8018	26	3	deep	deep	ADJ
ajst-8018	26	4	learning	learning	NOUN
ajst-8018	26	5	-	-	PUNCT
ajst-8018	26	6	derived	derive	VERB
ajst-8018	26	7	multiple	multiple	ADJ
ajst-8018	26	8	image	image	NOUN
ajst-8018	26	9	representation	representation	NOUN
ajst-8018	26	10	algorithms	algorithm	NOUN
ajst-8018	26	11	may	may	AUX
ajst-8018	26	12	be	be	AUX
ajst-8018	26	13	employed	employ	VERB
ajst-8018	26	14	as	as	ADP
ajst-8018	26	15	transformation	transformation	NOUN
ajst-8018	26	16	techniques	technique	NOUN
ajst-8018	26	17	for	for	ADP
ajst-8018	26	18	fusing	fuse	VERB
ajst-8018	26	19	multimodal	multimodal	ADJ
ajst-8018	26	20	medical	medical	ADJ
ajst-8018	26	21	images	image	NOUN
ajst-8018	26	22	,	,	PUNCT
ajst-8018	26	23	overcoming	overcome	VERB
ajst-8018	26	24	the	the	DET
ajst-8018	26	25	problem	problem	NOUN
ajst-8018	26	26	of	of	ADP
ajst-8018	26	27	multiscale	multiscale	ADJ
ajst-8018	26	28	transformations	transformation	NOUN
ajst-8018	26	29	'	'	PART
ajst-8018	26	30	high	high	ADJ
ajst-8018	26	31	computational	computational	ADJ
ajst-8018	26	32	cost	cost	NOUN
ajst-8018	26	33	and	and	CCONJ
ajst-8018	26	34	poor	poor	ADJ
ajst-8018	26	35	representation	representation	NOUN
ajst-8018	26	36	of	of	ADP
ajst-8018	26	37	edge	edge	NOUN
ajst-8018	26	38	information	information	NOUN
ajst-8018	26	39	[	[	X
ajst-8018	26	40	7	7	NUM
ajst-8018	26	41	]	]	PUNCT
ajst-8018	26	42	.	.	PUNCT
ajst-8018	27	1	for	for	ADP
ajst-8018	27	2	instance	instance	NOUN
ajst-8018	27	3	,	,	PUNCT
ajst-8018	27	4	csr	csr	X
ajst-8018	27	5	convolutional	convolutional	ADJ
ajst-8018	27	6	sparse	sparse	ADJ
ajst-8018	27	7	representation	representation	NOUN
ajst-8018	27	8	[	[	X
ajst-8018	27	9	8	8	NUM
ajst-8018	27	10	]	]	PUNCT
ajst-8018	27	11	solves	solve	VERB
ajst-8018	27	12	the	the	DET
ajst-8018	27	13	issues	issue	NOUN
ajst-8018	27	14	with	with	ADP
ajst-8018	27	15	sparse	sparse	ADJ
ajst-8018	27	16	coding	code	VERB
ajst-8018	27	17	with	with	ADP
ajst-8018	27	18	limited	limited	ADJ
ajst-8018	27	19	ability	ability	NOUN
ajst-8018	27	20	to	to	PART
ajst-8018	27	21	retain	retain	VERB
ajst-8018	27	22	details	detail	NOUN
ajst-8018	27	23	and	and	CCONJ
ajst-8018	27	24	sensitivity	sensitivity	NOUN
ajst-8018	27	25	to	to	PART
ajst-8018	27	26	position	position	NOUN
ajst-8018	27	27	bias	bias	NOUN
ajst-8018	27	28	[	[	X
ajst-8018	27	29	9	9	NUM
ajst-8018	27	30	]	]	PUNCT
ajst-8018	27	31	.	.	PUNCT
ajst-8018	28	1	it	it	PRON
ajst-8018	28	2	can	can	AUX
ajst-8018	28	3	obtain	obtain	VERB
ajst-8018	28	4	a	a	DET
ajst-8018	28	5	sparse	sparse	ADJ
ajst-8018	28	6	representation	representation	NOUN
ajst-8018	28	7	of	of	ADP
ajst-8018	28	8	the	the	DET
ajst-8018	28	9	entire	entire	ADJ
ajst-8018	28	10	image	image	NOUN
ajst-8018	28	11	without	without	ADP
ajst-8018	28	12	independently	independently	ADV
ajst-8018	28	13	computing	compute	VERB
ajst-8018	28	14	the	the	DET
ajst-8018	28	15	representation	representation	NOUN
ajst-8018	28	16	of	of	ADP
ajst-8018	28	17	a	a	DET
ajst-8018	28	18	set	set	NOUN
ajst-8018	28	19	of	of	ADP
ajst-8018	28	20	overlapping	overlap	VERB
ajst-8018	28	21	image	image	NOUN
ajst-8018	28	22	blocks	block	NOUN
ajst-8018	28	23	like	like	ADP
ajst-8018	28	24	the	the	DET
ajst-8018	28	25	traditional	traditional	ADJ
ajst-8018	28	26	standard	standard	ADJ
ajst-8018	28	27	sparse	sparse	ADJ
ajst-8018	28	28	representation	representation	NOUN
ajst-8018	28	29	(	(	PUNCT
ajst-8018	28	30	sr	sr	PROPN
ajst-8018	28	31	)	)	PUNCT
ajst-8018	28	32	.	.	PUNCT
ajst-8018	29	1	in	in	ADP
ajst-8018	29	2	conclusion	conclusion	NOUN
ajst-8018	29	3	,	,	PUNCT
ajst-8018	29	4	the	the	DET
ajst-8018	29	5	deep	deep	ADJ
ajst-8018	29	6	learning	learning	NOUN
ajst-8018	29	7	approach	approach	NOUN
ajst-8018	29	8	offers	offer	VERB
ajst-8018	29	9	more	more	ADJ
ajst-8018	29	10	research	research	NOUN
ajst-8018	29	11	potential	potential	NOUN
ajst-8018	29	12	,	,	PUNCT
ajst-8018	29	13	with	with	ADP
ajst-8018	29	14	the	the	DET
ajst-8018	29	15	main	main	ADJ
ajst-8018	29	16	focus	focus	NOUN
ajst-8018	29	17	being	be	AUX
ajst-8018	29	18	on	on	ADP
ajst-8018	29	19	how	how	SCONJ
ajst-8018	29	20	to	to	PART
ajst-8018	29	21	enhance	enhance	VERB
ajst-8018	29	22	the	the	DET
ajst-8018	29	23	model	model	NOUN
ajst-8018	29	24	's	's	PART
ajst-8018	29	25	representational	representational	ADJ
ajst-8018	29	26	and	and	CCONJ
ajst-8018	29	27	perceptual	perceptual	ADJ
ajst-8018	29	28	capacities	capacity	NOUN
ajst-8018	29	29	.	.	PUNCT
ajst-8018	30	1	feature	feature	NOUN
ajst-8018	30	2	perception	perception	NOUN
ajst-8018	30	3	in	in	ADP
ajst-8018	30	4	deep	deep	ADJ
ajst-8018	30	5	learning	learning	NOUN
ajst-8018	30	6	models	model	NOUN
ajst-8018	30	7	refers	refer	VERB
ajst-8018	30	8	to	to	ADP
ajst-8018	30	9	the	the	DET
ajst-8018	30	10	model	model	NOUN
ajst-8018	30	11	's	's	PART
ajst-8018	30	12	capacity	capacity	NOUN
ajst-8018	30	13	to	to	PART
ajst-8018	30	14	extract	extract	VERB
ajst-8018	30	15	and	and	CCONJ
ajst-8018	30	16	use	use	VERB
ajst-8018	30	17	features	feature	NOUN
ajst-8018	30	18	at	at	ADP
ajst-8018	30	19	various	various	ADJ
ajst-8018	30	20	levels	level	NOUN
ajst-8018	30	21	,	,	PUNCT
ajst-8018	30	22	and	and	CCONJ
ajst-8018	30	23	the	the	DET
ajst-8018	30	24	capacity	capacity	NOUN
ajst-8018	30	25	directly	directly	ADV
ajst-8018	30	26	indicates	indicate	VERB
ajst-8018	30	27	the	the	DET
ajst-8018	30	28	degree	degree	NOUN
ajst-8018	30	29	to	to	PART
ajst-8018	30	30	which	which	PRON
ajst-8018	30	31	the	the	DET
ajst-8018	30	32	model	model	NOUN
ajst-8018	30	33	has	have	VERB
ajst-8018	30	34	a	a	DET
ajst-8018	30	35	thorough	thorough	ADJ
ajst-8018	30	36	,	,	PUNCT
ajst-8018	30	37	in	in	ADP
ajst-8018	30	38	-	-	PUNCT
ajst-8018	30	39	depth	depth	NOUN
ajst-8018	30	40	,	,	PUNCT
ajst-8018	30	41	and	and	CCONJ
ajst-8018	30	42	distinctive	distinctive	ADJ
ajst-8018	30	43	grasp	grasp	NOUN
ajst-8018	30	44	of	of	ADP
ajst-8018	30	45	data	datum	NOUN
ajst-8018	30	46	features	feature	NOUN
ajst-8018	30	47	.	.	PUNCT
ajst-8018	31	1	as	as	ADP
ajst-8018	31	2	a	a	DET
ajst-8018	31	3	general	general	ADJ
ajst-8018	31	4	rule	rule	NOUN
ajst-8018	31	5	,	,	PUNCT
ajst-8018	31	6	improving	improve	VERB
ajst-8018	31	7	feature	feature	NOUN
ajst-8018	31	8	perception	perception	NOUN
ajst-8018	31	9	is	be	AUX
ajst-8018	31	10	a	a	DET
ajst-8018	31	11	common	common	ADJ
ajst-8018	31	12	technique	technique	NOUN
ajst-8018	31	13	to	to	PART
ajst-8018	31	14	increase	increase	VERB
ajst-8018	31	15	the	the	DET
ajst-8018	31	16	segmentation	segmentation	NOUN
ajst-8018	31	17	accuracy	accuracy	NOUN
ajst-8018	31	18	and	and	CCONJ
ajst-8018	31	19	robustness	robustness	NOUN
ajst-8018	31	20	of	of	ADP
ajst-8018	31	21	a	a	DET
ajst-8018	31	22	model	model	NOUN
ajst-8018	31	23	.	.	PUNCT
ajst-8018	32	1	common	common	ADJ
ajst-8018	32	2	operations	operation	NOUN
ajst-8018	32	3	include	include	VERB
ajst-8018	32	4	deepening	deepen	VERB
ajst-8018	32	5	the	the	DET
ajst-8018	32	6	network	network	NOUN
ajst-8018	32	7	depth	depth	NOUN
ajst-8018	32	8	and	and	CCONJ
ajst-8018	32	9	width	width	NOUN
ajst-8018	32	10	(	(	PUNCT
ajst-8018	32	11	resnet	resnet	NOUN
ajst-8018	32	12	[	[	X
ajst-8018	32	13	10	10	NUM
ajst-8018	32	14	]	]	PUNCT
ajst-8018	32	15	,	,	PUNCT
ajst-8018	32	16	resnext	resnext	ADJ
ajst-8018	33	1	[	[	X
ajst-8018	33	2	11	11	NUM
ajst-8018	33	3	]	]	NUM
ajst-8018	33	4	)	)	PUNCT
ajst-8018	33	5	,	,	PUNCT
ajst-8018	33	6	increasing	increase	VERB
ajst-8018	33	7	the	the	DET
ajst-8018	33	8	number	number	NOUN
ajst-8018	33	9	of	of	ADP
ajst-8018	33	10	branches	branch	NOUN
ajst-8018	33	11	and	and	CCONJ
ajst-8018	33	12	utilizing	utilize	VERB
ajst-8018	33	13	multi	multi	ADJ
ajst-8018	33	14	-	-	ADJ
ajst-8018	33	15	stage	stage	ADJ
ajst-8018	33	16	features	feature	NOUN
ajst-8018	33	17	(	(	PUNCT
ajst-8018	33	18	wideresnet	wideresnet	PROPN
ajst-8018	33	19	[	[	X
ajst-8018	33	20	12	12	NUM
ajst-8018	33	21	]	]	PUNCT
ajst-8018	33	22	,	,	PUNCT
ajst-8018	33	23	fpn	fpn	VERB
ajst-8018	33	24	[	[	X
ajst-8018	33	25	13	13	NUM
ajst-8018	33	26	]	]	PUNCT
ajst-8018	33	27	,	,	PUNCT
ajst-8018	33	28	improving	improve	VERB
ajst-8018	33	29	existing	exist	VERB
ajst-8018	33	30	structures	structure	NOUN
ajst-8018	33	31	,	,	PUNCT
ajst-8018	33	32	using	use	VERB
ajst-8018	33	33	3d	3d	NOUN
ajst-8018	33	34	structures	structure	NOUN
ajst-8018	33	35	of	of	ADP
ajst-8018	33	36	data	datum	NOUN
ajst-8018	33	37	(	(	PUNCT
ajst-8018	33	38	vnet	vnet	PROPN
ajst-8018	33	39	[	[	X
ajst-8018	33	40	14	14	NUM
ajst-8018	33	41	]	]	PUNCT
ajst-8018	33	42	)	)	PUNCT
ajst-8018	33	43	,	,	PUNCT
ajst-8018	33	44	fusing	fuse	VERB
ajst-8018	33	45	models	model	NOUN
ajst-8018	33	46	or	or	CCONJ
ajst-8018	33	47	data	datum	NOUN
ajst-8018	33	48	(	(	PUNCT
ajst-8018	33	49	h	h	NOUN
ajst-8018	33	50	-	-	PUNCT
ajst-8018	33	51	denseu	denseu	NOUN
ajst-8018	33	52	-	-	PUNCT
ajst-8018	33	53	net	net	NOUN
ajst-8018	33	54	[	[	X
ajst-8018	33	55	15	15	NUM
ajst-8018	33	56	]	]	NUM
ajst-8018	33	57	)	)	PUNCT
ajst-8018	33	58	.	.	PUNCT
ajst-8018	34	1	as	as	ADP
ajst-8018	34	2	of	of	ADP
ajst-8018	34	3	right	right	ADV
ajst-8018	34	4	now	now	ADV
ajst-8018	34	5	,	,	PUNCT
ajst-8018	34	6	the	the	DET
ajst-8018	34	7	majority	majority	NOUN
ajst-8018	34	8	of	of	ADP
ajst-8018	34	9	deep	deep	ADJ
ajst-8018	34	10	learning	learning	NOUN
ajst-8018	34	11	-	-	PUNCT
ajst-8018	34	12	based	base	VERB
ajst-8018	34	13	image	image	NOUN
ajst-8018	34	14	segmentation	segmentation	NOUN
ajst-8018	34	15	models	model	NOUN
ajst-8018	34	16	are	be	AUX
ajst-8018	34	17	in	in	ADP
ajst-8018	34	18	tested	test	VERB
ajst-8018	34	19	benchmark	benchmark	NOUN
ajst-8018	34	20	networks	network	NOUN
ajst-8018	34	21	like	like	ADP
ajst-8018	34	22	fcn	fcn	NOUN
ajst-8018	34	23	and	and	CCONJ
ajst-8018	34	24	u	u	NOUN
ajst-8018	34	25	-	-	NOUN
ajst-8018	34	26	net	net	NOUN
ajst-8018	34	27	.	.	PUNCT
ajst-8018	35	1	by	by	ADP
ajst-8018	35	2	applying	apply	VERB
ajst-8018	35	3	improvements	improvement	NOUN
ajst-8018	35	4	to	to	ADP
ajst-8018	35	5	one	one	NUM
ajst-8018	35	6	or	or	CCONJ
ajst-8018	35	7	a	a	DET
ajst-8018	35	8	combination	combination	NOUN
ajst-8018	35	9	of	of	ADP
ajst-8018	35	10	the	the	DET
ajst-8018	35	11	aforementioned	aforementioned	ADJ
ajst-8018	35	12	techniques	technique	NOUN
ajst-8018	35	13	,	,	PUNCT
ajst-8018	35	14	the	the	DET
ajst-8018	35	15	models	model	NOUN
ajst-8018	35	16	used	use	VERB
ajst-8018	35	17	in	in	ADP
ajst-8018	35	18	fusion	fusion	NOUN
ajst-8018	35	19	schemes	scheme	NOUN
ajst-8018	35	20	for	for	ADP
ajst-8018	35	21	medical	medical	ADJ
ajst-8018	35	22	image	image	NOUN
ajst-8018	35	23	roi	roi	NOUN
ajst-8018	35	24	,	,	PUNCT
ajst-8018	35	25	such	such	ADJ
ajst-8018	35	26	as	as	ADP
ajst-8018	35	27	classification	classification	NOUN
ajst-8018	35	28	and	and	CCONJ
ajst-8018	35	29	segmentation	segmentation	NOUN
ajst-8018	35	30	of	of	ADP
ajst-8018	35	31	common	common	ADJ
ajst-8018	35	32	brain	brain	NOUN
ajst-8018	35	33	and	and	CCONJ
ajst-8018	35	34	organ	organ	NOUN
ajst-8018	35	35	tissues	tissue	NOUN
ajst-8018	35	36	,	,	PUNCT
ajst-8018	35	37	can	can	AUX
ajst-8018	35	38	perform	perform	VERB
ajst-8018	35	39	even	even	ADV
ajst-8018	35	40	better	well	ADV
ajst-8018	35	41	in	in	ADP
ajst-8018	35	42	downstream	downstream	ADJ
ajst-8018	35	43	tasks	task	NOUN
ajst-8018	35	44	.	.	PUNCT
ajst-8018	36	1	table	table	NOUN
ajst-8018	36	2	1	1	NUM
ajst-8018	36	3	shows	show	VERB
ajst-8018	36	4	some	some	DET
ajst-8018	36	5	examples	example	NOUN
ajst-8018	36	6	of	of	ADP
ajst-8018	36	7	modal	modal	ADJ
ajst-8018	36	8	fusion	fusion	NOUN
ajst-8018	36	9	and	and	CCONJ
ajst-8018	36	10	its	its	PRON
ajst-8018	36	11	role	role	NOUN
ajst-8018	36	12	.	.	PUNCT
ajst-8018	37	1	table	table	NOUN
ajst-8018	37	2	1	1	NUM
ajst-8018	37	3	.	.	PUNCT
ajst-8018	38	1	some	some	DET
ajst-8018	38	2	modal	modal	ADJ
ajst-8018	38	3	fusion	fusion	NOUN
ajst-8018	38	4	methods	method	NOUN
ajst-8018	38	5	no	no	INTJ
ajst-8018	38	6	.	.	PUNCT
ajst-8018	39	1	modal	modal	ADJ
ajst-8018	39	2	categories	category	NOUN
ajst-8018	39	3	1	1	NUM
ajst-8018	39	4	muc	muc	X
ajst-8018	39	5	mri&&ct	mri&&ct	PROPN
ajst-8018	39	6	2	2	NUM
ajst-8018	39	7	mus	mus	NOUN
ajst-8018	39	8	mri&&spect	mri&&spect	PROPN
ajst-8018	39	9	3	3	NUM
ajst-8018	39	10	mup	mup	NOUN
ajst-8018	39	11	mri&&pet	mri&&pet	PUNCT
ajst-8018	39	12	4	4	NUM
ajst-8018	39	13	cup	cup	NOUN
ajst-8018	39	14	ct&&pet	ct&&pet	NOUN
ajst-8018	39	15	5	5	NUM
ajst-8018	39	16	cus	cus	NOUN
ajst-8018	39	17	ct&&spect	ct&&spect	NOUN
ajst-8018	39	18	6	6	NUM
ajst-8018	39	19	sup	sup	NOUN
ajst-8018	39	20	spect&&pet	spect&&pet	PROPN
ajst-8018	39	21	2	2	NUM
ajst-8018	39	22	.	.	PUNCT
ajst-8018	39	23	improvement	improvement	NOUN
ajst-8018	39	24	of	of	ADP
ajst-8018	39	25	multimodal	multimodal	ADJ
ajst-8018	39	26	medical	medical	ADJ
ajst-8018	39	27	image	image	NOUN
ajst-8018	39	28	fusion	fusion	NOUN
ajst-8018	39	29	2.1.1	2.1.1	NUM
ajst-8018	39	30	.	.	PUNCT
ajst-8018	40	1	deep	deep	ADJ
ajst-8018	40	2	learning	learn	VERB
ajst-8018	40	3	the	the	DET
ajst-8018	40	4	densely	densely	ADV
ajst-8018	40	5	connected	connected	ADJ
ajst-8018	40	6	network	network	NOUN
ajst-8018	40	7	densenet	densenet	NOUN
ajst-8018	40	8	,	,	PUNCT
ajst-8018	40	9	proposed	propose	VERB
ajst-8018	40	10	by	by	ADP
ajst-8018	40	11	huang	huang	PROPN
ajst-8018	40	12	et	et	PROPN
ajst-8018	40	13	al	al	PROPN
ajst-8018	41	1	[	[	X
ajst-8018	41	2	16	16	NUM
ajst-8018	41	3	]	]	PUNCT
ajst-8018	41	4	,	,	PUNCT
ajst-8018	41	5	is	be	AUX
ajst-8018	41	6	one	one	NUM
ajst-8018	41	7	of	of	ADP
ajst-8018	41	8	the	the	DET
ajst-8018	41	9	most	most	ADV
ajst-8018	41	10	effective	effective	ADJ
ajst-8018	41	11	methods	method	NOUN
ajst-8018	41	12	to	to	PART
ajst-8018	41	13	solve	solve	VERB
ajst-8018	41	14	gradient	gradient	ADJ
ajst-8018	41	15	disappearance	disappearance	NOUN
ajst-8018	41	16	and	and	CCONJ
ajst-8018	41	17	gradient	gradient	ADJ
ajst-8018	41	18	explosion	explosion	NOUN
ajst-8018	41	19	in	in	ADP
ajst-8018	41	20	deep	deep	ADJ
ajst-8018	41	21	learning	learning	NOUN
ajst-8018	41	22	,	,	PUNCT
ajst-8018	41	23	while	while	SCONJ
ajst-8018	41	24	the	the	DET
ajst-8018	41	25	dense	dense	ADJ
ajst-8018	41	26	connection	connection	NOUN
ajst-8018	41	27	can	can	AUX
ajst-8018	41	28	also	also	ADV
ajst-8018	41	29	be	be	AUX
ajst-8018	41	30	able	able	ADJ
ajst-8018	41	31	to	to	PART
ajst-8018	41	32	also	also	ADV
ajst-8018	41	33	fully	fully	ADV
ajst-8018	41	34	extract	extract	VERB
ajst-8018	41	35	information	information	NOUN
ajst-8018	41	36	from	from	ADP
ajst-8018	41	37	the	the	DET
ajst-8018	41	38	intermediate	intermediate	ADJ
ajst-8018	41	39	layers	layer	NOUN
ajst-8018	41	40	during	during	ADP
ajst-8018	41	41	medical	medical	ADJ
ajst-8018	41	42	image	image	NOUN
ajst-8018	41	43	fusion	fusion	NOUN
ajst-8018	41	44	to	to	PART
ajst-8018	41	45	prevent	prevent	VERB
ajst-8018	41	46	the	the	DET
ajst-8018	41	47	loss	loss	NOUN
ajst-8018	41	48	of	of	ADP
ajst-8018	41	49	significant	significant	ADJ
ajst-8018	41	50	information	information	NOUN
ajst-8018	41	51	.	.	PUNCT
ajst-8018	42	1	in	in	ADP
ajst-8018	42	2	the	the	DET
ajst-8018	42	3	process	process	NOUN
ajst-8018	42	4	of	of	ADP
ajst-8018	42	5	network	network	NOUN
ajst-8018	42	6	implementation	implementation	NOUN
ajst-8018	42	7	to	to	PART
ajst-8018	42	8	ensure	ensure	VERB
ajst-8018	42	9	the	the	DET
ajst-8018	42	10	maximum	maximum	ADJ
ajst-8018	42	11	information	information	NOUN
ajst-8018	42	12	flow	flow	NOUN
ajst-8018	42	13	between	between	ADP
ajst-8018	42	14	the	the	DET
ajst-8018	42	15	layers	layer	NOUN
ajst-8018	42	16	of	of	ADP
ajst-8018	42	17	the	the	DET
ajst-8018	42	18	network	network	NOUN
ajst-8018	42	19	,	,	PUNCT
ajst-8018	42	20	the	the	DET
ajst-8018	42	21	network	network	NOUN
ajst-8018	42	22	cascades	cascade	VERB
ajst-8018	42	23	the	the	DET
ajst-8018	42	24	previous	previous	ADJ
ajst-8018	42	25	feature	feature	NOUN
ajst-8018	42	26	maps	map	NOUN
ajst-8018	42	27	of	of	ADP
ajst-8018	42	28	the	the	DET
ajst-8018	42	29	same	same	ADJ
ajst-8018	42	30	size	size	NOUN
ajst-8018	42	31	,	,	PUNCT
ajst-8018	42	32	adds	add	VERB
ajst-8018	42	33	additional	additional	ADJ
ajst-8018	42	34	inputs	input	NOUN
ajst-8018	42	35	to	to	ADP
ajst-8018	42	36	the	the	DET
ajst-8018	42	37	current	current	ADJ
ajst-8018	42	38	layer	layer	NOUN
ajst-8018	42	39	,	,	PUNCT
ajst-8018	42	40	and	and	CCONJ
ajst-8018	42	41	the	the	DET
ajst-8018	42	42	obtained	obtain	VERB
ajst-8018	42	43	feature	feature	NOUN
ajst-8018	42	44	map	map	NOUN
ajst-8018	42	45	's	's	PART
ajst-8018	42	46	convolution	convolution	NOUN
ajst-8018	42	47	is	be	AUX
ajst-8018	42	48	used	use	VERB
ajst-8018	42	49	as	as	ADP
ajst-8018	42	50	input	input	NOUN
ajst-8018	42	51	to	to	ADP
ajst-8018	42	52	the	the	DET
ajst-8018	42	53	subsequent	subsequent	ADJ
ajst-8018	42	54	layers	layer	NOUN
ajst-8018	42	55	.	.	PUNCT
ajst-8018	43	1	because	because	SCONJ
ajst-8018	43	2	the	the	DET
ajst-8018	43	3	feature	feature	NOUN
ajst-8018	43	4	maps	map	NOUN
ajst-8018	43	5	are	be	AUX
ajst-8018	43	6	processed	process	VERB
ajst-8018	43	7	in	in	ADP
ajst-8018	43	8	a	a	DET
ajst-8018	43	9	cascade	cascade	NOUN
ajst-8018	43	10	operation	operation	NOUN
ajst-8018	43	11	instead	instead	ADV
ajst-8018	43	12	of	of	ADP
ajst-8018	43	13	the	the	DET
ajst-8018	43	14	conventional	conventional	ADJ
ajst-8018	43	15	addition	addition	NOUN
ajst-8018	43	16	operation	operation	NOUN
ajst-8018	43	17	,	,	PUNCT
ajst-8018	43	18	the	the	DET
ajst-8018	43	19	densely	densely	ADV
ajst-8018	43	20	connected	connect	VERB
ajst-8018	43	21	network	network	NOUN
ajst-8018	43	22	has	have	VERB
ajst-8018	43	23	𝐿	𝐿	PROPN
ajst-8018	43	24	𝐿	𝐿	PROPN
ajst-8018	43	25	1	1	NUM
ajst-8018	43	26	/2	/2	NOUN
ajst-8018	43	27	connections	connection	NOUN
ajst-8018	43	28	compared	compare	VERB
ajst-8018	43	29	to	to	ADP
ajst-8018	43	30	the	the	DET
ajst-8018	43	31	conventional	conventional	ADJ
ajst-8018	43	32	l	l	NOUN
ajst-8018	43	33	-	-	ADJ
ajst-8018	43	34	layer	layer	NOUN
ajst-8018	43	35	network	network	NOUN
ajst-8018	43	36	with	with	ADP
ajst-8018	43	37	l	l	NOUN
ajst-8018	43	38	connections	connection	NOUN
ajst-8018	43	39	.	.	PUNCT
ajst-8018	44	1	although	although	SCONJ
ajst-8018	44	2	convolutional	convolutional	ADJ
ajst-8018	44	3	neural	neural	ADJ
ajst-8018	44	4	network	network	NOUN
ajst-8018	44	5	-	-	PUNCT
ajst-8018	44	6	based	base	VERB
ajst-8018	44	7	multimodal	multimodal	NOUN
ajst-8018	44	8	fusion	fusion	NOUN
ajst-8018	44	9	algorithms	algorithm	NOUN
ajst-8018	44	10	typically	typically	ADV
ajst-8018	44	11	produce	produce	VERB
ajst-8018	44	12	the	the	DET
ajst-8018	44	13	best	good	ADJ
ajst-8018	44	14	results	result	NOUN
ajst-8018	44	15	,	,	PUNCT
ajst-8018	44	16	some	some	DET
ajst-8018	44	17	medical	medical	ADJ
ajst-8018	44	18	images	image	NOUN
ajst-8018	44	19	lose	lose	VERB
ajst-8018	44	20	their	their	PRON
ajst-8018	44	21	semantic	semantic	ADJ
ajst-8018	44	22	content	content	NOUN
ajst-8018	44	23	after	after	ADP
ajst-8018	44	24	a	a	DET
ajst-8018	44	25	fusion	fusion	NOUN
ajst-8018	44	26	because	because	SCONJ
ajst-8018	44	27	cnn	cnn	PROPN
ajst-8018	44	28	algorithms	algorithm	NOUN
ajst-8018	44	29	typically	typically	ADV
ajst-8018	44	30	only	only	ADV
ajst-8018	44	31	use	use	VERB
ajst-8018	44	32	the	the	DET
ajst-8018	44	33	results	result	NOUN
ajst-8018	44	34	of	of	ADP
ajst-8018	44	35	the	the	DET
ajst-8018	44	36	last	last	ADJ
ajst-8018	44	37	layer	layer	NOUN
ajst-8018	44	38	as	as	ADP
ajst-8018	44	39	the	the	DET
ajst-8018	44	40	extracted	extract	VERB
ajst-8018	44	41	information	information	NOUN
ajst-8018	44	42	and	and	CCONJ
ajst-8018	44	43	ignore	ignore	VERB
ajst-8018	44	44	the	the	DET
ajst-8018	44	45	feature	feature	NOUN
ajst-8018	44	46	information	information	NOUN
ajst-8018	44	47	corresponding	correspond	VERB
ajst-8018	44	48	to	to	ADP
ajst-8018	44	49	the	the	DET
ajst-8018	44	50	intermediate	intermediate	ADJ
ajst-8018	44	51	layers	layer	NOUN
ajst-8018	44	52	.	.	PUNCT
ajst-8018	45	1	to	to	PART
ajst-8018	45	2	address	address	VERB
ajst-8018	45	3	this	this	DET
ajst-8018	45	4	issue	issue	NOUN
ajst-8018	45	5	,	,	PUNCT
ajst-8018	45	6	li	li	PROPN
ajst-8018	45	7	hui	hui	PROPN
ajst-8018	45	8	et	et	PROPN
ajst-8018	45	9	al	al	PROPN
ajst-8018	45	10	.	.	PUNCT
ajst-8018	46	1	[	[	X
ajst-8018	46	2	17	17	NUM
ajst-8018	46	3	]	]	PUNCT
ajst-8018	46	4	proposed	propose	VERB
ajst-8018	46	5	a	a	DET
ajst-8018	46	6	deep	deep	ADJ
ajst-8018	46	7	learning	learning	NOUN
ajst-8018	46	8	architecture	architecture	NOUN
ajst-8018	46	9	based	base	VERB
ajst-8018	46	10	on	on	ADP
ajst-8018	46	11	densenet	densenet	NOUN
ajst-8018	46	12	that	that	PRON
ajst-8018	46	13	consists	consist	VERB
ajst-8018	46	14	of	of	ADP
ajst-8018	46	15	an	an	DET
ajst-8018	46	16	encoding	encoding	NOUN
ajst-8018	46	17	network	network	NOUN
ajst-8018	46	18	and	and	CCONJ
ajst-8018	46	19	a	a	DET
ajst-8018	46	20	decoding	decode	VERB
ajst-8018	46	21	network	network	NOUN
ajst-8018	46	22	.	.	PUNCT
ajst-8018	47	1	the	the	DET
ajst-8018	47	2	encoding	encoding	NOUN
ajst-8018	47	3	network	network	NOUN
ajst-8018	47	4	uses	use	VERB
ajst-8018	47	5	convolutional	convolutional	ADJ
ajst-8018	47	6	layers	layer	NOUN
ajst-8018	47	7	and	and	CCONJ
ajst-8018	47	8	dense	dense	ADJ
ajst-8018	47	9	blocks	block	NOUN
ajst-8018	47	10	to	to	PART
ajst-8018	47	11	extract	extract	VERB
ajst-8018	47	12	features	feature	NOUN
ajst-8018	47	13	from	from	ADP
ajst-8018	47	14	images	image	NOUN
ajst-8018	47	15	,	,	PUNCT
ajst-8018	47	16	and	and	CCONJ
ajst-8018	47	17	the	the	DET
ajst-8018	47	18	fused	fuse	VERB
ajst-8018	47	19	images	image	NOUN
ajst-8018	47	20	are	be	AUX
ajst-8018	47	21	then	then	ADV
ajst-8018	47	22	reconstructed	reconstruct	VERB
ajst-8018	47	23	by	by	ADP
ajst-8018	47	24	corresponding	correspond	VERB
ajst-8018	47	25	fusion	fusion	NOUN
ajst-8018	47	26	strategies	strategy	NOUN
ajst-8018	47	27	and	and	CCONJ
ajst-8018	47	28	decoding	decode	VERB
ajst-8018	47	29	networks	network	NOUN
ajst-8018	47	30	.	.	PUNCT
ajst-8018	48	1	this	this	DET
ajst-8018	48	2	architecture	architecture	NOUN
ajst-8018	48	3	successfully	successfully	ADV
ajst-8018	48	4	avoids	avoid	VERB
ajst-8018	48	5	the	the	DET
ajst-8018	48	6	issue	issue	NOUN
ajst-8018	48	7	of	of	ADP
ajst-8018	48	8	information	information	NOUN
ajst-8018	48	9	loss	loss	NOUN
ajst-8018	48	10	in	in	ADP
ajst-8018	48	11	cnn	cnn	PROPN
ajst-8018	48	12	methods	method	NOUN
ajst-8018	48	13	and	and	CCONJ
ajst-8018	48	14	achieves	achieve	VERB
ajst-8018	48	15	very	very	ADV
ajst-8018	48	16	high	high	ADJ
ajst-8018	48	17	accuracy	accuracy	NOUN
ajst-8018	48	18	.	.	PUNCT
ajst-8018	49	1	the	the	DET
ajst-8018	49	2	coding	code	VERB
ajst-8018	49	3	network	network	NOUN
ajst-8018	49	4	used	use	VERB
ajst-8018	49	5	to	to	PART
ajst-8018	49	6	extract	extract	VERB
ajst-8018	49	7	the	the	DET
ajst-8018	49	8	visual	visual	ADJ
ajst-8018	49	9	characteristics	characteristic	NOUN
ajst-8018	49	10	has	have	VERB
ajst-8018	49	11	the	the	DET
ajst-8018	49	12	drawback	drawback	NOUN
ajst-8018	49	13	of	of	ADP
ajst-8018	49	14	only	only	ADV
ajst-8018	49	15	taking	take	VERB
ajst-8018	49	16	into	into	ADP
ajst-8018	49	17	account	account	NOUN
ajst-8018	49	18	one	one	NUM
ajst-8018	49	19	scale	scale	NOUN
ajst-8018	49	20	.	.	PUNCT
ajst-8018	50	1	a	a	DET
ajst-8018	50	2	densenetbased	densenetbase	VERB
ajst-8018	50	3	method	method	NOUN
ajst-8018	50	4	called	call	VERB
ajst-8018	50	5	msdnet	msdnet	NOUN
ajst-8018	50	6	[	[	X
ajst-8018	50	7	18	18	NUM
ajst-8018	50	8	]	]	PUNCT
ajst-8018	50	9	that	that	PRON
ajst-8018	50	10	added	add	VERB
ajst-8018	50	11	a	a	DET
ajst-8018	50	12	multiscale	multiscale	ADJ
ajst-8018	50	13	mechanism	mechanism	NOUN
ajst-8018	50	14	to	to	PART
ajst-8018	50	15	densefuse	densefuse	VERB
ajst-8018	50	16	and	and	CCONJ
ajst-8018	50	17	used	use	VERB
ajst-8018	50	18	three	three	NUM
ajst-8018	50	19	filters	filter	NOUN
ajst-8018	50	20	of	of	ADP
ajst-8018	50	21	various	various	ADJ
ajst-8018	50	22	sizes	size	NOUN
ajst-8018	50	23	to	to	PART
ajst-8018	50	24	extract	extract	VERB
ajst-8018	50	25	features	feature	NOUN
ajst-8018	50	26	from	from	ADP
ajst-8018	50	27	the	the	DET
ajst-8018	50	28	coding	code	VERB
ajst-8018	50	29	network	network	NOUN
ajst-8018	50	30	to	to	PART
ajst-8018	50	31	address	address	VERB
ajst-8018	50	32	this	this	DET
ajst-8018	50	33	issue	issue	NOUN
ajst-8018	50	34	also	also	ADV
ajst-8018	50	35	came	come	VERB
ajst-8018	50	36	from	from	ADP
ajst-8018	50	37	li	li	PROPN
ajst-8018	50	38	.	.	PUNCT
ajst-8018	50	39	by	by	ADP
ajst-8018	50	40	widening	widen	VERB
ajst-8018	50	41	the	the	DET
ajst-8018	50	42	coding	code	VERB
ajst-8018	50	43	network	network	NOUN
ajst-8018	50	44	,	,	PUNCT
ajst-8018	50	45	more	more	ADJ
ajst-8018	50	46	image	image	NOUN
ajst-8018	50	47	details	detail	NOUN
ajst-8018	50	48	were	be	AUX
ajst-8018	50	49	extracted	extract	VERB
ajst-8018	50	50	.	.	PUNCT
ajst-8018	51	1	the	the	DET
ajst-8018	51	2	densenet	densenet	NOUN
ajst-8018	51	3	technique	technique	NOUN
ajst-8018	51	4	is	be	AUX
ajst-8018	51	5	used	use	VERB
ajst-8018	51	6	to	to	PART
ajst-8018	51	7	avoid	avoid	VERB
ajst-8018	51	8	gradient	gradient	ADJ
ajst-8018	51	9	growth	growth	NOUN
ajst-8018	51	10	and	and	CCONJ
ajst-8018	51	11	gradient	gradient	ADJ
ajst-8018	51	12	disappearance	disappearance	NOUN
ajst-8018	51	13	in	in	ADP
ajst-8018	51	14	the	the	DET
ajst-8018	51	15	medical	medical	ADJ
ajst-8018	51	16	image	image	NOUN
ajst-8018	51	17	fusion	fusion	NOUN
ajst-8018	51	18	system	system	NOUN
ajst-8018	51	19	proposed	propose	VERB
ajst-8018	51	20	by	by	ADP
ajst-8018	51	21	zhao	zhao	PROPN
ajst-8018	51	22	et	et	PROPN
ajst-8018	51	23	al	al	PROPN
ajst-8018	51	24	.	.	PUNCT
ajst-8018	52	1	[	[	X
ajst-8018	52	2	19	19	NUM
ajst-8018	52	3	]	]	PUNCT
ajst-8018	52	4	based	base	VERB
ajst-8018	52	5	on	on	ADP
ajst-8018	52	6	dense	dense	ADJ
ajst-8018	52	7	blocks	block	NOUN
ajst-8018	52	8	and	and	CCONJ
ajst-8018	52	9	adversarial	adversarial	ADJ
ajst-8018	52	10	generative	generative	ADJ
ajst-8018	52	11	networks	network	NOUN
ajst-8018	52	12	.	.	PUNCT
ajst-8018	53	1	in	in	ADP
ajst-8018	53	2	conclusion	conclusion	NOUN
ajst-8018	53	3	,	,	PUNCT
ajst-8018	53	4	the	the	DET
ajst-8018	53	5	medical	medical	ADJ
ajst-8018	53	6	picture	picture	NOUN
ajst-8018	53	7	fusion	fusion	NOUN
ajst-8018	53	8	deep	deep	ADJ
ajst-8018	53	9	learning	learning	NOUN
ajst-8018	53	10	approach	approach	NOUN
ajst-8018	53	11	has	have	VERB
ajst-8018	53	12	two	two	NUM
ajst-8018	53	13	problems	problem	NOUN
ajst-8018	53	14	that	that	SCONJ
ajst-8018	53	15	the	the	DET
ajst-8018	53	16	dense	dense	ADJ
ajst-8018	53	17	connection	connection	NOUN
ajst-8018	53	18	module	module	NOUN
ajst-8018	53	19	fixes	fix	NOUN
ajst-8018	53	20	.	.	PUNCT
ajst-8018	54	1	the	the	DET
ajst-8018	54	2	concerns	concern	NOUN
ajst-8018	54	3	of	of	ADP
ajst-8018	54	4	gradient	gradient	ADJ
ajst-8018	54	5	disappearance	disappearance	NOUN
ajst-8018	54	6	and	and	CCONJ
ajst-8018	54	7	gradient	gradient	ADJ
ajst-8018	54	8	expansion	expansion	NOUN
ajst-8018	54	9	that	that	PRON
ajst-8018	54	10	emerge	emerge	VERB
ajst-8018	54	11	in	in	ADP
ajst-8018	54	12	deep	deep	ADJ
ajst-8018	54	13	learning	learning	NOUN
ajst-8018	54	14	are	be	AUX
ajst-8018	54	15	addressed	address	VERB
ajst-8018	54	16	first	first	ADV
ajst-8018	54	17	.	.	PUNCT
ajst-8018	55	1	the	the	DET
ajst-8018	55	2	second	second	NOUN
ajst-8018	55	3	is	be	AUX
ajst-8018	55	4	to	to	PART
ajst-8018	55	5	use	use	VERB
ajst-8018	55	6	the	the	DET
ajst-8018	55	7	last	last	ADJ
ajst-8018	55	8	layer	layer	NOUN
ajst-8018	55	9	of	of	ADP
ajst-8018	55	10	extracted	extract	VERB
ajst-8018	55	11	features	feature	NOUN
ajst-8018	55	12	in	in	ADP
ajst-8018	55	13	the	the	DET
ajst-8018	55	14	cnn	cnn	PROPN
ajst-8018	55	15	model	model	NOUN
ajst-8018	55	16	to	to	PART
ajst-8018	55	17	solve	solve	VERB
ajst-8018	55	18	the	the	DET
ajst-8018	55	19	problem	problem	NOUN
ajst-8018	55	20	of	of	ADP
ajst-8018	55	21	information	information	NOUN
ajst-8018	55	22	loss	loss	NOUN
ajst-8018	55	23	in	in	ADP
ajst-8018	55	24	the	the	DET
ajst-8018	55	25	intermediate	intermediate	ADJ
ajst-8018	55	26	layers	layer	NOUN
ajst-8018	55	27	caused	cause	VERB
ajst-8018	55	28	by	by	ADP
ajst-8018	55	29	fusion	fusion	NOUN
ajst-8018	55	30	.	.	PUNCT
ajst-8018	56	1	the	the	DET
ajst-8018	56	2	design	design	NOUN
ajst-8018	56	3	of	of	ADP
ajst-8018	56	4	the	the	DET
ajst-8018	56	5	network	network	NOUN
ajst-8018	56	6	structure	structure	NOUN
ajst-8018	56	7	's	's	PART
ajst-8018	56	8	dense	dense	ADJ
ajst-8018	56	9	connections	connection	NOUN
ajst-8018	56	10	also	also	ADV
ajst-8018	56	11	has	have	VERB
ajst-8018	56	12	a	a	DET
ajst-8018	56	13	regularization	regularization	NOUN
ajst-8018	56	14	effect	effect	NOUN
ajst-8018	56	15	that	that	PRON
ajst-8018	56	16	might	might	AUX
ajst-8018	56	17	greatly	greatly	ADV
ajst-8018	56	18	reduce	reduce	VERB
ajst-8018	56	19	the	the	DET
ajst-8018	56	20	overfitting	overfitte	VERB
ajst-8018	56	21	phenomenon	phenomenon	NOUN
ajst-8018	56	22	.	.	PUNCT
ajst-8018	57	1	using	use	VERB
ajst-8018	57	2	densenet	densenet	NOUN
ajst-8018	57	3	thick	thick	ADJ
ajst-8018	57	4	connection	connection	NOUN
ajst-8018	57	5	blocks	block	NOUN
ajst-8018	57	6	as	as	ADP
ajst-8018	57	7	an	an	DET
ajst-8018	57	8	effective	effective	ADJ
ajst-8018	57	9	enhancement	enhancement	NOUN
ajst-8018	57	10	technique	technique	NOUN
ajst-8018	57	11	for	for	ADP
ajst-8018	57	12	medical	medical	ADJ
ajst-8018	57	13	fusion	fusion	NOUN
ajst-8018	57	14	,	,	PUNCT
ajst-8018	57	15	it	it	PRON
ajst-8018	57	16	is	be	AUX
ajst-8018	57	17	feasible	feasible	ADJ
ajst-8018	57	18	to	to	PART
ajst-8018	57	19	combine	combine	VERB
ajst-8018	57	20	several	several	ADJ
ajst-8018	57	21	models	model	NOUN
ajst-8018	57	22	.	.	PUNCT
ajst-8018	58	1	2.2	2.2	NUM
ajst-8018	58	2	.	.	PUNCT
ajst-8018	58	3	transfer	transfer	NOUN
ajst-8018	58	4	learning	learning	NOUN
ajst-8018	58	5	although	although	SCONJ
ajst-8018	58	6	deep	deep	ADJ
ajst-8018	58	7	learning	learning	NOUN
ajst-8018	58	8	can	can	AUX
ajst-8018	58	9	automatically	automatically	ADV
ajst-8018	58	10	extract	extract	VERB
ajst-8018	58	11	features	feature	NOUN
ajst-8018	58	12	,	,	PUNCT
ajst-8018	58	13	it	it	PRON
ajst-8018	58	14	needs	need	VERB
ajst-8018	58	15	a	a	DET
ajst-8018	58	16	high	high	ADJ
ajst-8018	58	17	number	number	NOUN
ajst-8018	58	18	of	of	ADP
ajst-8018	58	19	data	datum	NOUN
ajst-8018	58	20	samples	sample	NOUN
ajst-8018	58	21	to	to	PART
ajst-8018	58	22	train	train	VERB
ajst-8018	58	23	the	the	DET
ajst-8018	58	24	model	model	NOUN
ajst-8018	58	25	,	,	PUNCT
ajst-8018	58	26	and	and	CCONJ
ajst-8018	58	27	the	the	DET
ajst-8018	58	28	tiny	tiny	ADJ
ajst-8018	58	29	amount	amount	NOUN
ajst-8018	58	30	of	of	ADP
ajst-8018	58	31	medical	medical	ADJ
ajst-8018	58	32	data	datum	NOUN
ajst-8018	58	33	makes	make	VERB
ajst-8018	58	34	it	it	PRON
ajst-8018	58	35	impossible	impossible	ADJ
ajst-8018	58	36	to	to	PART
ajst-8018	58	37	do	do	VERB
ajst-8018	58	38	so	so	ADV
ajst-8018	58	39	.	.	PUNCT
ajst-8018	59	1	as	as	ADP
ajst-8018	59	2	a	a	DET
ajst-8018	59	3	result	result	NOUN
ajst-8018	59	4	,	,	PUNCT
ajst-8018	59	5	the	the	DET
ajst-8018	59	6	trained	train	VERB
ajst-8018	59	7	model	model	NOUN
ajst-8018	59	8	has	have	VERB
ajst-8018	59	9	poor	poor	ADJ
ajst-8018	59	10	generalization	generalization	NOUN
ajst-8018	59	11	performance	performance	NOUN
ajst-8018	59	12	.	.	PUNCT
ajst-8018	60	1	transfer	transfer	NOUN
ajst-8018	60	2	learning	learning	NOUN
ajst-8018	60	3	allows	allow	VERB
ajst-8018	60	4	for	for	ADP
ajst-8018	60	5	the	the	DET
ajst-8018	60	6	application	application	NOUN
ajst-8018	60	7	of	of	ADP
ajst-8018	60	8	already	already	ADV
ajst-8018	60	9	-	-	PUNCT
ajst-8018	60	10	trained	train	VERB
ajst-8018	60	11	models	model	NOUN
ajst-8018	60	12	to	to	ADP
ajst-8018	60	13	unrelated	unrelated	ADJ
ajst-8018	60	14	but	but	CCONJ
ajst-8018	60	15	related	related	ADJ
ajst-8018	60	16	fields	field	NOUN
ajst-8018	60	17	.	.	PUNCT
ajst-8018	61	1	in	in	ADP
ajst-8018	61	2	deep	deep	ADJ
ajst-8018	61	3	learning	learning	NOUN
ajst-8018	61	4	,	,	PUNCT
ajst-8018	61	5	parameter	parameter	NOUN
ajst-8018	61	6	migration	migration	NOUN
ajst-8018	61	7	is	be	AUX
ajst-8018	61	8	a	a	DET
ajst-8018	61	9	common	common	ADJ
ajst-8018	61	10	form	form	NOUN
ajst-8018	61	11	of	of	ADP
ajst-8018	61	12	transfer	transfer	NOUN
ajst-8018	61	13	learning	learning	NOUN
ajst-8018	61	14	that	that	PRON
ajst-8018	61	15	helps	help	VERB
ajst-8018	61	16	models	model	NOUN
ajst-8018	61	17	fit	fit	ADJ
ajst-8018	61	18	data	datum	NOUN
ajst-8018	61	19	more	more	ADV
ajst-8018	61	20	accurately	accurately	ADV
ajst-8018	61	21	and	and	CCONJ
ajst-8018	61	22	generalize	generalize	VERB
ajst-8018	61	23	well	well	ADV
ajst-8018	61	24	,	,	PUNCT
ajst-8018	61	25	even	even	ADV
ajst-8018	61	26	with	with	ADP
ajst-8018	61	27	sparse	sparse	ADJ
ajst-8018	61	28	data	datum	NOUN
ajst-8018	61	29	[	[	X
ajst-8018	61	30	20	20	NUM
ajst-8018	61	31	]	]	PUNCT
ajst-8018	61	32	.	.	PUNCT
ajst-8018	62	1	for	for	ADP
ajst-8018	62	2	instance	instance	NOUN
ajst-8018	62	3	,	,	PUNCT
ajst-8018	62	4	sabine	sabine	PROPN
ajst-8018	62	5	et	et	PROPN
ajst-8018	62	6	al	al	PROPN
ajst-8018	62	7	[	[	X
ajst-8018	62	8	21	21	NUM
ajst-8018	62	9	]	]	PUNCT
ajst-8018	62	10	used	use	VERB
ajst-8018	62	11	the	the	DET
ajst-8018	62	12	vgg	vgg	ADJ
ajst-8018	62	13	pre	pre	VERB
ajst-8018	62	14	-	-	VERB
ajst-8018	62	15	trained	train	VERB
ajst-8018	62	16	in	in	ADP
ajst-8018	62	17	imagenet	imagenet	NOUN
ajst-8018	62	18	and	and	CCONJ
ajst-8018	62	19	16	16	NUM
ajst-8018	62	20	networks	network	NOUN
ajst-8018	62	21	for	for	ADP
ajst-8018	62	22	medical	medical	ADJ
ajst-8018	62	23	image	image	NOUN
ajst-8018	62	24	fusion	fusion	NOUN
ajst-8018	62	25	without	without	ADP
ajst-8018	62	26	prior	prior	ADJ
ajst-8018	62	27	training	training	NOUN
ajst-8018	62	28	in	in	ADP
ajst-8018	62	29	image	image	NOUN
ajst-8018	62	30	modalities	modality	NOUN
ajst-8018	62	31	,	,	PUNCT
ajst-8018	62	32	and	and	CCONJ
ajst-8018	62	33	the	the	DET
ajst-8018	62	34	model	model	NOUN
ajst-8018	62	35	can	can	AUX
ajst-8018	62	36	be	be	AUX
ajst-8018	62	37	effectively	effectively	ADV
ajst-8018	62	38	227	227	NUM
ajst-8018	62	39	generalized	generalize	VERB
ajst-8018	62	40	.	.	PUNCT
ajst-8018	63	1	hermes	herme	NOUN
ajst-8018	63	2	et	et	PROPN
ajst-8018	63	3	al	al	PROPN
ajst-8018	64	1	[	[	X
ajst-8018	64	2	22	22	NUM
ajst-8018	64	3	]	]	PUNCT
ajst-8018	64	4	proposed	propose	VERB
ajst-8018	64	5	a	a	DET
ajst-8018	64	6	cnn	cnn	PROPN
ajst-8018	64	7	-	-	PUNCT
ajst-8018	64	8	based	base	VERB
ajst-8018	64	9	mri	mri	NOUN
ajst-8018	64	10	and	and	CCONJ
ajst-8018	64	11	ct	ct	NUM
ajst-8018	64	12	image	image	NOUN
ajst-8018	64	13	fusion	fusion	NOUN
ajst-8018	64	14	method	method	NOUN
ajst-8018	64	15	in	in	ADP
ajst-8018	64	16	the	the	DET
ajst-8018	64	17	shear	shear	NOUN
ajst-8018	64	18	domain	domain	NOUN
ajst-8018	64	19	shearlet	shearlet	NOUN
ajst-8018	64	20	,	,	PUNCT
ajst-8018	64	21	which	which	PRON
ajst-8018	64	22	employs	employ	VERB
ajst-8018	64	23	migration	migration	NOUN
ajst-8018	64	24	learning	learning	NOUN
ajst-8018	64	25	from	from	ADP
ajst-8018	64	26	the	the	DET
ajst-8018	64	27	spatial	spatial	ADJ
ajst-8018	64	28	domain	domain	NOUN
ajst-8018	64	29	to	to	ADP
ajst-8018	64	30	the	the	DET
ajst-8018	64	31	frequency	frequency	NOUN
ajst-8018	64	32	domain	domain	NOUN
ajst-8018	64	33	.	.	PUNCT
ajst-8018	65	1	pre	pre	VERB
ajst-8018	65	2	-	-	ADJ
ajst-8018	65	3	trained	train	VERB
ajst-8018	65	4	networks	network	NOUN
ajst-8018	65	5	may	may	AUX
ajst-8018	65	6	successfully	successfully	ADV
ajst-8018	65	7	speed	speed	VERB
ajst-8018	65	8	up	up	ADP
ajst-8018	65	9	learning	learn	VERB
ajst-8018	65	10	,	,	PUNCT
ajst-8018	65	11	and	and	CCONJ
ajst-8018	65	12	employing	employ	VERB
ajst-8018	65	13	previous	previous	ADJ
ajst-8018	65	14	knowledge	knowledge	NOUN
ajst-8018	65	15	can	can	AUX
ajst-8018	65	16	cut	cut	VERB
ajst-8018	65	17	down	down	ADP
ajst-8018	65	18	on	on	ADP
ajst-8018	65	19	network	network	NOUN
ajst-8018	65	20	training	training	NOUN
ajst-8018	65	21	time	time	NOUN
ajst-8018	65	22	and	and	CCONJ
ajst-8018	65	23	greatly	greatly	ADV
ajst-8018	65	24	raise	raise	VERB
ajst-8018	65	25	the	the	DET
ajst-8018	65	26	quality	quality	NOUN
ajst-8018	65	27	of	of	ADP
ajst-8018	65	28	fused	fuse	VERB
ajst-8018	65	29	pictures	picture	NOUN
ajst-8018	65	30	in	in	ADP
ajst-8018	65	31	the	the	DET
ajst-8018	65	32	absence	absence	NOUN
ajst-8018	65	33	of	of	ADP
ajst-8018	65	34	datasets	dataset	NOUN
ajst-8018	65	35	,	,	PUNCT
ajst-8018	65	36	according	accord	VERB
ajst-8018	65	37	to	to	ADP
ajst-8018	65	38	y	y	PROPN
ajst-8018	65	39	wang	wang	PROPN
ajst-8018	65	40	et	et	PROPN
ajst-8018	65	41	al	al	PROPN
ajst-8018	65	42	.	.	PUNCT
ajst-8018	66	1	[	[	X
ajst-8018	66	2	23	23	NUM
ajst-8018	66	3	]	]	PUNCT
ajst-8018	66	4	.	.	PUNCT
ajst-8018	67	1	2.3	2.3	NUM
ajst-8018	67	2	.	.	PUNCT
ajst-8018	68	1	data	datum	NOUN
ajst-8018	68	2	enhancement	enhancement	VERB
ajst-8018	68	3	the	the	DET
ajst-8018	68	4	lack	lack	NOUN
ajst-8018	68	5	of	of	ADP
ajst-8018	68	6	medical	medical	ADJ
ajst-8018	68	7	image	image	NOUN
ajst-8018	68	8	datasets	dataset	NOUN
ajst-8018	68	9	can	can	AUX
ajst-8018	68	10	also	also	ADV
ajst-8018	68	11	be	be	AUX
ajst-8018	68	12	addressed	address	VERB
ajst-8018	68	13	through	through	ADP
ajst-8018	68	14	data	datum	NOUN
ajst-8018	68	15	augmentation	augmentation	NOUN
ajst-8018	68	16	,	,	PUNCT
ajst-8018	68	17	and	and	CCONJ
ajst-8018	68	18	current	current	ADJ
ajst-8018	68	19	data	datum	NOUN
ajst-8018	68	20	augmentation	augmentation	NOUN
ajst-8018	68	21	techniques	technique	NOUN
ajst-8018	68	22	[	[	X
ajst-8018	68	23	24	24	NUM
ajst-8018	68	24	]	]	PUNCT
ajst-8018	68	25	can	can	AUX
ajst-8018	68	26	be	be	AUX
ajst-8018	68	27	used	use	VERB
ajst-8018	68	28	to	to	PART
ajst-8018	68	29	enhance	enhance	VERB
ajst-8018	68	30	the	the	DET
ajst-8018	68	31	existing	exist	VERB
ajst-8018	68	32	datasets	dataset	NOUN
ajst-8018	68	33	by	by	ADP
ajst-8018	68	34	rotating	rotate	VERB
ajst-8018	68	35	,	,	PUNCT
ajst-8018	68	36	scaling	scaling	NOUN
ajst-8018	68	37	,	,	PUNCT
ajst-8018	68	38	or	or	CCONJ
ajst-8018	68	39	cropping	crop	VERB
ajst-8018	68	40	them	they	PRON
ajst-8018	68	41	to	to	PART
ajst-8018	68	42	produce	produce	VERB
ajst-8018	68	43	new	new	ADJ
ajst-8018	68	44	relevant	relevant	ADJ
ajst-8018	68	45	data	datum	NOUN
ajst-8018	68	46	from	from	ADP
ajst-8018	68	47	the	the	DET
ajst-8018	68	48	existing	exist	VERB
ajst-8018	68	49	data	datum	NOUN
ajst-8018	68	50	and	and	CCONJ
ajst-8018	68	51	give	give	VERB
ajst-8018	68	52	the	the	DET
ajst-8018	68	53	trained	train	VERB
ajst-8018	68	54	neural	neural	ADJ
ajst-8018	68	55	network	network	NOUN
ajst-8018	68	56	better	well	ADJ
ajst-8018	68	57	generalization	generalization	NOUN
ajst-8018	68	58	capabilities	capability	NOUN
ajst-8018	68	59	.	.	PUNCT
ajst-8018	69	1	to	to	ADP
ajst-8018	69	2	some	some	DET
ajst-8018	69	3	extent	extent	NOUN
ajst-8018	69	4	,	,	PUNCT
ajst-8018	69	5	the	the	DET
ajst-8018	69	6	overfitting	overfitte	VERB
ajst-8018	69	7	issue	issue	NOUN
ajst-8018	69	8	brought	bring	VERB
ajst-8018	69	9	on	on	ADP
ajst-8018	69	10	by	by	ADP
ajst-8018	69	11	short	short	ADJ
ajst-8018	69	12	training	training	NOUN
ajst-8018	69	13	samples	sample	NOUN
ajst-8018	69	14	during	during	ADP
ajst-8018	69	15	deep	deep	ADJ
ajst-8018	69	16	learning	learning	NOUN
ajst-8018	69	17	training	training	NOUN
ajst-8018	69	18	can	can	AUX
ajst-8018	69	19	be	be	AUX
ajst-8018	69	20	mitigated	mitigate	VERB
ajst-8018	69	21	by	by	ADP
ajst-8018	69	22	the	the	DET
ajst-8018	69	23	conventional	conventional	ADJ
ajst-8018	69	24	technique	technique	NOUN
ajst-8018	69	25	of	of	ADP
ajst-8018	69	26	data	datum	NOUN
ajst-8018	69	27	augmentation	augmentation	NOUN
ajst-8018	69	28	through	through	ADP
ajst-8018	69	29	slicing	slice	VERB
ajst-8018	69	30	[	[	X
ajst-8018	69	31	25	25	NUM
ajst-8018	69	32	]	]	PUNCT
ajst-8018	69	33	.	.	PUNCT
ajst-8018	70	1	other	other	ADJ
ajst-8018	70	2	data	datum	NOUN
ajst-8018	70	3	augmentation	augmentation	NOUN
ajst-8018	70	4	techniques	technique	NOUN
ajst-8018	70	5	exist	exist	VERB
ajst-8018	70	6	,	,	PUNCT
ajst-8018	70	7	including	include	VERB
ajst-8018	70	8	cutmax	cutmax	NOUN
ajst-8018	70	9	[	[	X
ajst-8018	70	10	26	26	NUM
ajst-8018	70	11	]	]	PUNCT
ajst-8018	70	12	,	,	PUNCT
ajst-8018	70	13	mixup	mixup	NOUN
ajst-8018	71	1	[	[	X
ajst-8018	71	2	27	27	NUM
ajst-8018	71	3	]	]	PUNCT
ajst-8018	71	4	,	,	PUNCT
ajst-8018	71	5	and	and	CCONJ
ajst-8018	71	6	randomly	randomly	ADV
ajst-8018	71	7	modified	modify	VERB
ajst-8018	71	8	luminance	luminance	NOUN
ajst-8018	71	9	and	and	CCONJ
ajst-8018	71	10	affine	affine	NOUN
ajst-8018	71	11	transformation	transformation	NOUN
ajst-8018	71	12	.	.	PUNCT
ajst-8018	72	1	a	a	DET
ajst-8018	72	2	data	data	NOUN
ajst-8018	72	3	augmentation	augmentation	NOUN
ajst-8018	72	4	technique	technique	NOUN
ajst-8018	72	5	was	be	AUX
ajst-8018	72	6	utilized	utilize	VERB
ajst-8018	72	7	to	to	PART
ajst-8018	72	8	transform	transform	VERB
ajst-8018	72	9	the	the	DET
ajst-8018	72	10	120w	120w	NOUN
ajst-8018	72	11	natural	natural	ADJ
ajst-8018	72	12	photos	photo	NOUN
ajst-8018	72	13	in	in	ADP
ajst-8018	72	14	imagenet	imagenet	NOUN
ajst-8018	72	15	into	into	ADP
ajst-8018	72	16	medical	medical	ADJ
ajst-8018	72	17	images	image	NOUN
ajst-8018	72	18	with	with	ADP
ajst-8018	72	19	the	the	DET
ajst-8018	72	20	same	same	ADJ
ajst-8018	72	21	intensity	intensity	NOUN
ajst-8018	72	22	and	and	CCONJ
ajst-8018	72	23	texture	texture	ADJ
ajst-8018	72	24	distribution	distribution	NOUN
ajst-8018	72	25	as	as	ADP
ajst-8018	72	26	the	the	DET
ajst-8018	72	27	dataset	dataset	NOUN
ajst-8018	72	28	for	for	ADP
ajst-8018	72	29	the	the	DET
ajst-8018	72	30	multilayer	multilayer	ADJ
ajst-8018	72	31	cascade	cascade	NOUN
ajst-8018	72	32	network	network	NOUN
ajst-8018	72	33	provided	provide	VERB
ajst-8018	72	34	by	by	ADP
ajst-8018	72	35	liang	liang	PROPN
ajst-8018	72	36	et	et	PROPN
ajst-8018	72	37	al	al	PROPN
ajst-8018	73	1	[	[	X
ajst-8018	73	2	28	28	NUM
ajst-8018	73	3	]	]	PUNCT
ajst-8018	73	4	.	.	PUNCT
ajst-8018	74	1	since	since	SCONJ
ajst-8018	74	2	the	the	DET
ajst-8018	74	3	medical	medical	ADJ
ajst-8018	74	4	industry	industry	NOUN
ajst-8018	74	5	has	have	VERB
ajst-8018	74	6	strict	strict	ADJ
ajst-8018	74	7	requirements	requirement	NOUN
ajst-8018	74	8	for	for	ADP
ajst-8018	74	9	image	image	NOUN
ajst-8018	74	10	realism	realism	NOUN
ajst-8018	74	11	and	and	CCONJ
ajst-8018	74	12	integrity	integrity	NOUN
ajst-8018	74	13	,	,	PUNCT
ajst-8018	74	14	liu	liu	PROPN
ajst-8018	74	15	et	et	PROPN
ajst-8018	74	16	al	al	PROPN
ajst-8018	74	17	.	.	PUNCT
ajst-8018	75	1	[	[	X
ajst-8018	75	2	29	29	NUM
ajst-8018	75	3	]	]	PUNCT
ajst-8018	75	4	proposed	propose	VERB
ajst-8018	75	5	a	a	DET
ajst-8018	75	6	deep	deep	ADJ
ajst-8018	75	7	convolutional	convolutional	ADJ
ajst-8018	75	8	neural	neural	ADJ
ajst-8018	75	9	network	network	NOUN
ajst-8018	75	10	and	and	CCONJ
ajst-8018	75	11	data	datum	NOUN
ajst-8018	75	12	enhancement	enhancement	NOUN
ajst-8018	75	13	for	for	ADP
ajst-8018	75	14	image	image	NOUN
ajst-8018	75	15	fusion	fusion	NOUN
ajst-8018	75	16	for	for	ADP
ajst-8018	75	17	diagnosing	diagnose	VERB
ajst-8018	75	18	fungal	fungal	ADJ
ajst-8018	75	19	keratitis	keratitis	NOUN
ajst-8018	75	20	.	.	PUNCT
ajst-8018	76	1	they	they	PRON
ajst-8018	76	2	claimed	claim	VERB
ajst-8018	76	3	that	that	SCONJ
ajst-8018	76	4	clipping	clip	VERB
ajst-8018	76	5	after	after	ADP
ajst-8018	76	6	the	the	DET
ajst-8018	76	7	angular	angular	ADJ
ajst-8018	76	8	rotation	rotation	NOUN
ajst-8018	76	9	will	will	AUX
ajst-8018	76	10	lose	lose	VERB
ajst-8018	76	11	a	a	DET
ajst-8018	76	12	part	part	NOUN
ajst-8018	76	13	of	of	ADP
ajst-8018	76	14	the	the	DET
ajst-8018	76	15	image	image	NOUN
ajst-8018	76	16	,	,	PUNCT
ajst-8018	76	17	and	and	CCONJ
ajst-8018	76	18	nonlinear	nonlinear	ADJ
ajst-8018	76	19	enhancement	enhancement	NOUN
ajst-8018	76	20	methods	method	NOUN
ajst-8018	76	21	such	such	ADJ
ajst-8018	76	22	as	as	ADP
ajst-8018	76	23	noise	noise	NOUN
ajst-8018	76	24	addition	addition	NOUN
ajst-8018	76	25	and	and	CCONJ
ajst-8018	76	26	brightness	brightness	NOUN
ajst-8018	76	27	adjustment	adjustment	NOUN
ajst-8018	76	28	will	will	AUX
ajst-8018	76	29	change	change	VERB
ajst-8018	76	30	the	the	DET
ajst-8018	76	31	pixel	pixel	PROPN
ajst-8018	76	32	values	value	NOUN
ajst-8018	76	33	of	of	ADP
ajst-8018	76	34	the	the	DET
ajst-8018	76	35	original	original	ADJ
ajst-8018	76	36	image	image	NOUN
ajst-8018	76	37	.	.	PUNCT
ajst-8018	77	1	as	as	ADP
ajst-8018	77	2	a	a	DET
ajst-8018	77	3	result	result	NOUN
ajst-8018	77	4	,	,	PUNCT
ajst-8018	77	5	image	image	NOUN
ajst-8018	77	6	flipping	flipping	NOUN
ajst-8018	77	7	is	be	AUX
ajst-8018	77	8	used	use	VERB
ajst-8018	77	9	to	to	PART
ajst-8018	77	10	increase	increase	VERB
ajst-8018	77	11	the	the	DET
ajst-8018	77	12	normal	normal	ADJ
ajst-8018	77	13	image	image	NOUN
ajst-8018	77	14	however	however	ADV
ajst-8018	77	15	,	,	PUNCT
ajst-8018	77	16	the	the	DET
ajst-8018	77	17	class	class	NOUN
ajst-8018	77	18	imbalance	imbalance	NOUN
ajst-8018	77	19	in	in	ADP
ajst-8018	77	20	medical	medical	ADJ
ajst-8018	77	21	data	datum	NOUN
ajst-8018	77	22	across	across	ADP
ajst-8018	77	23	multiple	multiple	ADJ
ajst-8018	77	24	modalities	modality	NOUN
ajst-8018	77	25	is	be	AUX
ajst-8018	77	26	frequently	frequently	ADV
ajst-8018	77	27	severe	severe	ADJ
ajst-8018	77	28	,	,	PUNCT
ajst-8018	77	29	and	and	CCONJ
ajst-8018	77	30	gan	gan	PROPN
ajst-8018	77	31	development	development	NOUN
ajst-8018	77	32	has	have	AUX
ajst-8018	77	33	led	lead	VERB
ajst-8018	77	34	to	to	PART
ajst-8018	77	35	further	further	ADJ
ajst-8018	77	36	advances	advance	NOUN
ajst-8018	77	37	in	in	ADP
ajst-8018	77	38	data	data	NOUN
ajst-8018	77	39	production	production	NOUN
ajst-8018	77	40	[	[	X
ajst-8018	77	41	30	30	NUM
ajst-8018	77	42	]	]	PUNCT
ajst-8018	77	43	.	.	PUNCT
ajst-8018	78	1	data	datum	NOUN
ajst-8018	78	2	unevenness	unevenness	NOUN
ajst-8018	78	3	may	may	AUX
ajst-8018	78	4	be	be	AUX
ajst-8018	78	5	solved	solve	VERB
ajst-8018	78	6	using	use	VERB
ajst-8018	78	7	gan	gan	NOUN
ajst-8018	78	8	-	-	PUNCT
ajst-8018	78	9	based	base	VERB
ajst-8018	78	10	modal	modal	ADJ
ajst-8018	78	11	transformation	transformation	NOUN
ajst-8018	78	12	mapping	mapping	NOUN
ajst-8018	78	13	.	.	PUNCT
ajst-8018	79	1	data	datum	NOUN
ajst-8018	79	2	augmentation	augmentation	NOUN
ajst-8018	79	3	can	can	AUX
ajst-8018	79	4	help	help	VERB
ajst-8018	79	5	with	with	ADP
ajst-8018	79	6	the	the	DET
ajst-8018	79	7	issue	issue	NOUN
ajst-8018	79	8	of	of	ADP
ajst-8018	79	9	the	the	DET
ajst-8018	79	10	lack	lack	NOUN
ajst-8018	79	11	of	of	ADP
ajst-8018	79	12	medical	medical	ADJ
ajst-8018	79	13	image	image	NOUN
ajst-8018	79	14	datasets	dataset	NOUN
ajst-8018	79	15	,	,	PUNCT
ajst-8018	79	16	but	but	CCONJ
ajst-8018	79	17	because	because	SCONJ
ajst-8018	79	18	medical	medical	ADJ
ajst-8018	79	19	images	image	NOUN
ajst-8018	79	20	are	be	AUX
ajst-8018	79	21	a	a	DET
ajst-8018	79	22	specialized	specialized	ADJ
ajst-8018	79	23	field	field	NOUN
ajst-8018	79	24	with	with	ADP
ajst-8018	79	25	small	small	ADJ
ajst-8018	79	26	samples	sample	NOUN
ajst-8018	79	27	,	,	PUNCT
ajst-8018	79	28	there	there	PRON
ajst-8018	79	29	are	be	VERB
ajst-8018	79	30	n't	not	PART
ajst-8018	79	31	many	many	ADJ
ajst-8018	79	32	efficient	efficient	ADJ
ajst-8018	79	33	data	datum	NOUN
ajst-8018	79	34	augmentation	augmentation	NOUN
ajst-8018	79	35	techniques	technique	NOUN
ajst-8018	79	36	.	.	PUNCT
ajst-8018	80	1	finding	find	VERB
ajst-8018	80	2	ways	way	NOUN
ajst-8018	80	3	to	to	PART
ajst-8018	80	4	obtain	obtain	VERB
ajst-8018	80	5	sufficiently	sufficiently	ADV
ajst-8018	80	6	rich	rich	ADJ
ajst-8018	80	7	and	and	CCONJ
ajst-8018	80	8	high	high	ADJ
ajst-8018	80	9	-	-	PUNCT
ajst-8018	80	10	quality	quality	NOUN
ajst-8018	80	11	medical	medical	ADJ
ajst-8018	80	12	image	image	NOUN
ajst-8018	80	13	data	datum	NOUN
ajst-8018	80	14	is	be	AUX
ajst-8018	80	15	still	still	ADV
ajst-8018	80	16	a	a	DET
ajst-8018	80	17	promising	promising	ADJ
ajst-8018	80	18	area	area	NOUN
ajst-8018	80	19	for	for	ADP
ajst-8018	80	20	future	future	ADJ
ajst-8018	80	21	research	research	NOUN
ajst-8018	80	22	.	.	PUNCT
ajst-8018	81	1	2.4	2.4	NUM
ajst-8018	81	2	.	.	PUNCT
ajst-8018	81	3	attentional	attentional	ADJ
ajst-8018	81	4	mechanisms	mechanism	NOUN
ajst-8018	81	5	vaswani	vaswani	NOUN
ajst-8018	82	1	[	[	X
ajst-8018	82	2	31	31	NUM
ajst-8018	82	3	]	]	PUNCT
ajst-8018	82	4	first	first	ADV
ajst-8018	82	5	suggested	suggest	VERB
ajst-8018	82	6	the	the	DET
ajst-8018	82	7	transformer	transformer	ADJ
ajst-8018	82	8	model	model	NOUN
ajst-8018	82	9	architecture	architecture	NOUN
ajst-8018	82	10	,	,	PUNCT
ajst-8018	82	11	which	which	PRON
ajst-8018	82	12	is	be	AUX
ajst-8018	82	13	now	now	ADV
ajst-8018	82	14	extensively	extensively	ADV
ajst-8018	82	15	used	use	VERB
ajst-8018	82	16	in	in	ADP
ajst-8018	82	17	natural	natural	ADJ
ajst-8018	82	18	language	language	NOUN
ajst-8018	82	19	processing	processing	NOUN
ajst-8018	82	20	(	(	PUNCT
ajst-8018	82	21	nlp	nlp	NOUN
ajst-8018	82	22	)	)	PUNCT
ajst-8018	83	1	[	[	X
ajst-8018	83	2	32	32	NUM
ajst-8018	83	3	]	]	PUNCT
ajst-8018	83	4	.	.	PUNCT
ajst-8018	84	1	transformer	transformer	NOUN
ajst-8018	84	2	does	do	VERB
ajst-8018	84	3	away	away	ADV
ajst-8018	84	4	with	with	ADP
ajst-8018	84	5	conventional	conventional	ADJ
ajst-8018	84	6	rnn	rnn	NOUN
ajst-8018	84	7	and	and	CCONJ
ajst-8018	84	8	cnn	cnn	PROPN
ajst-8018	84	9	in	in	ADP
ajst-8018	84	10	favor	favor	NOUN
ajst-8018	84	11	of	of	ADP
ajst-8018	84	12	a	a	DET
ajst-8018	84	13	completely	completely	ADV
ajst-8018	84	14	attention	attention	NOUN
ajst-8018	84	15	-	-	PUNCT
ajst-8018	84	16	based	base	VERB
ajst-8018	84	17	network	network	NOUN
ajst-8018	84	18	structure	structure	NOUN
ajst-8018	84	19	.	.	PUNCT
ajst-8018	85	1	transformer	transformer	NOUN
ajst-8018	85	2	-	-	PUNCT
ajst-8018	85	3	based	base	VERB
ajst-8018	85	4	models	model	NOUN
ajst-8018	85	5	'	'	PART
ajst-8018	85	6	success	success	NOUN
ajst-8018	85	7	can	can	AUX
ajst-8018	85	8	be	be	AUX
ajst-8018	85	9	due	due	ADJ
ajst-8018	85	10	to	to	ADP
ajst-8018	85	11	their	their	PRON
ajst-8018	85	12	superior	superior	ADJ
ajst-8018	85	13	capacity	capacity	NOUN
ajst-8018	85	14	,	,	PUNCT
ajst-8018	85	15	when	when	SCONJ
ajst-8018	85	16	compared	compare	VERB
ajst-8018	85	17	to	to	ADP
ajst-8018	85	18	recurrent	recurrent	VERB
ajst-8018	85	19	neural	neural	ADJ
ajst-8018	85	20	networks	network	NOUN
ajst-8018	85	21	and	and	CCONJ
ajst-8018	85	22	convolutional	convolutional	ADJ
ajst-8018	85	23	neural	neural	ADJ
ajst-8018	85	24	networks	network	NOUN
ajst-8018	85	25	,	,	PUNCT
ajst-8018	85	26	to	to	PART
ajst-8018	85	27	collect	collect	VERB
ajst-8018	85	28	distant	distant	ADJ
ajst-8018	85	29	information	information	NOUN
ajst-8018	85	30	.	.	PUNCT
ajst-8018	86	1	vibashan	vibashan	PROPN
ajst-8018	86	2	et	et	PROPN
ajst-8018	86	3	al	al	PROPN
ajst-8018	86	4	.	.	PUNCT
ajst-8018	87	1	[	[	X
ajst-8018	87	2	33	33	NUM
ajst-8018	87	3	]	]	PUNCT
ajst-8018	87	4	proposed	propose	VERB
ajst-8018	87	5	a	a	DET
ajst-8018	87	6	new	new	ADJ
ajst-8018	87	7	network	network	NOUN
ajst-8018	87	8	for	for	ADP
ajst-8018	87	9	image	image	NOUN
ajst-8018	87	10	fusion	fusion	NOUN
ajst-8018	87	11	(	(	PUNCT
ajst-8018	87	12	ift	ift	NOUN
ajst-8018	87	13	)	)	PUNCT
ajst-8018	87	14	based	base	VERB
ajst-8018	87	15	on	on	ADP
ajst-8018	87	16	cnn	cnn	PROPN
ajst-8018	87	17	and	and	CCONJ
ajst-8018	87	18	transformer	transformer	NOUN
ajst-8018	87	19	,	,	PUNCT
ajst-8018	87	20	and	and	CCONJ
ajst-8018	87	21	developed	develop	VERB
ajst-8018	87	22	a	a	DET
ajst-8018	87	23	spaatiotransformer	spaatiotransformer	NOUN
ajst-8018	87	24	(	(	PUNCT
ajst-8018	87	25	st	st	NOUN
ajst-8018	87	26	)	)	PUNCT
ajst-8018	87	27	fusion	fusion	NOUN
ajst-8018	87	28	strategy	strategy	NOUN
ajst-8018	87	29	,	,	PUNCT
ajst-8018	87	30	which	which	PRON
ajst-8018	87	31	handles	handle	VERB
ajst-8018	87	32	both	both	DET
ajst-8018	87	33	local	local	ADJ
ajst-8018	87	34	and	and	CCONJ
ajst-8018	87	35	remote	remote	ADJ
ajst-8018	87	36	dependencies	dependency	NOUN
ajst-8018	87	37	.	.	PUNCT
ajst-8018	88	1	the	the	DET
ajst-8018	88	2	disadvantage	disadvantage	NOUN
ajst-8018	88	3	of	of	ADP
ajst-8018	88	4	cnn	cnn	PROPN
ajst-8018	88	5	-	-	PUNCT
ajst-8018	88	6	based	base	VERB
ajst-8018	88	7	fusion	fusion	NOUN
ajst-8018	88	8	techniques	technique	NOUN
ajst-8018	88	9	is	be	AUX
ajst-8018	88	10	that	that	SCONJ
ajst-8018	88	11	they	they	PRON
ajst-8018	88	12	can	can	AUX
ajst-8018	88	13	not	not	PART
ajst-8018	88	14	extract	extract	VERB
ajst-8018	88	15	remote	remote	ADJ
ajst-8018	88	16	dependencies	dependency	NOUN
ajst-8018	88	17	in	in	ADP
ajst-8018	88	18	images	image	NOUN
ajst-8018	88	19	,	,	PUNCT
ajst-8018	88	20	which	which	PRON
ajst-8018	88	21	results	result	VERB
ajst-8018	88	22	in	in	ADP
ajst-8018	88	23	the	the	DET
ajst-8018	88	24	loss	loss	NOUN
ajst-8018	88	25	of	of	ADP
ajst-8018	88	26	some	some	DET
ajst-8018	88	27	global	global	ADJ
ajst-8018	88	28	contextual	contextual	ADJ
ajst-8018	88	29	information	information	NOUN
ajst-8018	88	30	that	that	PRON
ajst-8018	88	31	may	may	AUX
ajst-8018	88	32	be	be	AUX
ajst-8018	88	33	useful	useful	ADJ
ajst-8018	88	34	for	for	ADP
ajst-8018	88	35	fusing	fuse	VERB
ajst-8018	88	36	images	image	NOUN
ajst-8018	88	37	.	.	PUNCT
ajst-8018	89	1	a	a	DET
ajst-8018	89	2	cnn	cnn	PROPN
ajst-8018	89	3	branch	branch	NOUN
ajst-8018	89	4	and	and	CCONJ
ajst-8018	89	5	a	a	DET
ajst-8018	89	6	transformer	transformer	ADJ
ajst-8018	89	7	branch	branch	NOUN
ajst-8018	89	8	are	be	AUX
ajst-8018	89	9	included	include	VERB
ajst-8018	89	10	in	in	ADP
ajst-8018	89	11	the	the	DET
ajst-8018	89	12	st	st	PROPN
ajst-8018	89	13	fusion	fusion	NOUN
ajst-8018	89	14	technique	technique	NOUN
ajst-8018	89	15	to	to	PART
ajst-8018	89	16	fuse	fuse	VERB
ajst-8018	89	17	local	local	ADJ
ajst-8018	89	18	and	and	CCONJ
ajst-8018	89	19	global	global	ADJ
ajst-8018	89	20	characteristics	characteristic	NOUN
ajst-8018	89	21	.	.	PUNCT
ajst-8018	90	1	additionally	additionally	ADV
ajst-8018	90	2	,	,	PUNCT
ajst-8018	90	3	it	it	PRON
ajst-8018	90	4	was	be	AUX
ajst-8018	90	5	utilized	utilize	VERB
ajst-8018	90	6	to	to	PART
ajst-8018	90	7	combine	combine	VERB
ajst-8018	90	8	medical	medical	ADJ
ajst-8018	90	9	pictures	picture	NOUN
ajst-8018	90	10	from	from	ADP
ajst-8018	90	11	mri	mri	NOUN
ajst-8018	90	12	and	and	CCONJ
ajst-8018	90	13	pet	pet	NOUN
ajst-8018	90	14	.	.	PUNCT
ajst-8018	91	1	when	when	SCONJ
ajst-8018	91	2	compared	compare	VERB
ajst-8018	91	3	to	to	ADP
ajst-8018	91	4	usfusion	usfusion	NOUN
ajst-8018	91	5	and	and	CCONJ
ajst-8018	91	6	ddcgan	ddcgan	VERB
ajst-8018	91	7	,	,	PUNCT
ajst-8018	91	8	the	the	DET
ajst-8018	91	9	combined	combine	VERB
ajst-8018	91	10	images	image	NOUN
ajst-8018	91	11	showed	show	VERB
ajst-8018	91	12	greater	great	ADJ
ajst-8018	91	13	intensity	intensity	NOUN
ajst-8018	91	14	fluctuations	fluctuation	NOUN
ajst-8018	91	15	and	and	CCONJ
ajst-8018	91	16	brighter	bright	ADJ
ajst-8018	91	17	colors	color	NOUN
ajst-8018	91	18	.	.	PUNCT
ajst-8018	92	1	a	a	DET
ajst-8018	92	2	novel	novel	ADJ
ajst-8018	92	3	architecture	architecture	NOUN
ajst-8018	92	4	for	for	ADP
ajst-8018	92	5	multi	multi	ADJ
ajst-8018	92	6	-	-	ADJ
ajst-8018	92	7	exposure	exposure	ADJ
ajst-8018	92	8	image	image	NOUN
ajst-8018	92	9	fusion	fusion	NOUN
ajst-8018	92	10	based	base	VERB
ajst-8018	92	11	on	on	ADP
ajst-8018	92	12	transformer	transformer	NOUN
ajst-8018	92	13	was	be	AUX
ajst-8018	92	14	presented	present	VERB
ajst-8018	92	15	by	by	ADP
ajst-8018	92	16	linhao	linhao	PROPN
ajst-8018	92	17	qu	qu	PROPN
ajst-8018	92	18	et	et	PROPN
ajst-8018	92	19	al	al	PROPN
ajst-8018	92	20	.	.	PUNCT
ajst-8018	93	1	[	[	X
ajst-8018	93	2	34	34	NUM
ajst-8018	93	3	]	]	PUNCT
ajst-8018	93	4	,	,	PUNCT
ajst-8018	93	5	which	which	PRON
ajst-8018	93	6	employs	employ	VERB
ajst-8018	93	7	self	self	NOUN
ajst-8018	93	8	-	-	PUNCT
ajst-8018	93	9	supervised	supervise	VERB
ajst-8018	93	10	multitask	multitask	ADJ
ajst-8018	93	11	learning	learning	NOUN
ajst-8018	93	12	and	and	CCONJ
ajst-8018	93	13	does	do	AUX
ajst-8018	93	14	not	not	PART
ajst-8018	93	15	need	need	VERB
ajst-8018	93	16	ground	ground	NOUN
ajst-8018	93	17	and	and	CCONJ
ajst-8018	93	18	truth	truth	NOUN
ajst-8018	93	19	fusion	fusion	NOUN
ajst-8018	93	20	pictures	picture	NOUN
ajst-8018	93	21	.	.	PUNCT
ajst-8018	94	1	based	base	VERB
ajst-8018	94	2	on	on	ADP
ajst-8018	94	3	the	the	DET
ajst-8018	94	4	properties	property	NOUN
ajst-8018	94	5	of	of	ADP
ajst-8018	94	6	multi	multi	ADJ
ajst-8018	94	7	-	-	ADJ
ajst-8018	94	8	exposure	exposure	ADJ
ajst-8018	94	9	pictures	picture	NOUN
ajst-8018	94	10	,	,	PUNCT
ajst-8018	94	11	three	three	NUM
ajst-8018	94	12	self	self	NOUN
ajst-8018	94	13	-	-	PUNCT
ajst-8018	94	14	supervised	supervise	VERB
ajst-8018	94	15	reconstruction	reconstruction	NOUN
ajst-8018	94	16	tasks	task	NOUN
ajst-8018	94	17	are	be	AUX
ajst-8018	94	18	developed	develop	VERB
ajst-8018	94	19	,	,	PUNCT
ajst-8018	94	20	and	and	CCONJ
ajst-8018	94	21	the	the	DET
ajst-8018	94	22	transformer	transformer	NOUN
ajst-8018	94	23	and	and	CCONJ
ajst-8018	94	24	cnn	cnn	PROPN
ajst-8018	94	25	modules	module	NOUN
ajst-8018	94	26	are	be	AUX
ajst-8018	94	27	merged	merge	VERB
ajst-8018	94	28	to	to	PART
ajst-8018	94	29	address	address	VERB
ajst-8018	94	30	the	the	DET
ajst-8018	94	31	problem	problem	NOUN
ajst-8018	94	32	of	of	ADP
ajst-8018	94	33	distant	distant	ADJ
ajst-8018	94	34	dependencies	dependency	NOUN
ajst-8018	94	35	in	in	ADP
ajst-8018	94	36	cnn	cnn	PROPN
ajst-8018	94	37	-	-	PUNCT
ajst-8018	94	38	based	base	VERB
ajst-8018	94	39	architectures	architecture	NOUN
ajst-8018	94	40	.	.	PUNCT
ajst-8018	95	1	linhao	linhao	PROPN
ajst-8018	95	2	qu	qu	PROPN
ajst-8018	95	3	et	et	PROPN
ajst-8018	95	4	al	al	PROPN
ajst-8018	95	5	.	.	PUNCT
ajst-8018	96	1	[	[	X
ajst-8018	96	2	35	35	NUM
ajst-8018	96	3	]	]	PUNCT
ajst-8018	96	4	developed	develop	VERB
ajst-8018	96	5	a	a	DET
ajst-8018	96	6	unified	unified	ADJ
ajst-8018	96	7	transformer	transformer	NOUN
ajst-8018	96	8	-	-	PUNCT
ajst-8018	96	9	based	base	VERB
ajst-8018	96	10	image	image	NOUN
ajst-8018	96	11	fusion	fusion	NOUN
ajst-8018	96	12	framework	framework	NOUN
ajst-8018	96	13	using	use	VERB
ajst-8018	96	14	self	self	NOUN
ajst-8018	96	15	-	-	PUNCT
ajst-8018	96	16	supervised	supervise	VERB
ajst-8018	96	17	learning	learning	NOUN
ajst-8018	96	18	and	and	CCONJ
ajst-8018	96	19	proposed	propose	VERB
ajst-8018	96	20	three	three	NUM
ajst-8018	96	21	destructive	destructive	ADJ
ajst-8018	96	22	reconstruction	reconstruction	NOUN
ajst-8018	96	23	tasks	task	NOUN
ajst-8018	96	24	for	for	ADP
ajst-8018	96	25	multimodal	multimodal	NOUN
ajst-8018	96	26	image	image	NOUN
ajst-8018	96	27	fusion	fusion	NOUN
ajst-8018	96	28	,	,	PUNCT
ajst-8018	96	29	multiexposure	multiexposure	NOUN
ajst-8018	96	30	image	image	NOUN
ajst-8018	96	31	fusion	fusion	NOUN
ajst-8018	96	32	,	,	PUNCT
ajst-8018	96	33	and	and	CCONJ
ajst-8018	96	34	multi	multi	ADJ
ajst-8018	96	35	-	-	ADJ
ajst-8018	96	36	focus	focus	ADJ
ajst-8018	96	37	image	image	NOUN
ajst-8018	96	38	fusion	fusion	NOUN
ajst-8018	96	39	based	base	VERB
ajst-8018	96	40	on	on	ADP
ajst-8018	96	41	pixel	pixel	PROPN
ajst-8018	96	42	intensity	intensity	PROPN
ajst-8018	96	43	nonlinear	nonlinear	PROPN
ajst-8018	96	44	transform	transform	NOUN
ajst-8018	96	45	,	,	PUNCT
ajst-8018	96	46	luminance	luminance	NOUN
ajst-8018	96	47	transform	transform	NOUN
ajst-8018	96	48	,	,	PUNCT
ajst-8018	96	49	and	and	CCONJ
ajst-8018	96	50	noise	noise	NOUN
ajst-8018	96	51	transform	transform	NOUN
ajst-8018	96	52	,	,	PUNCT
ajst-8018	96	53	respectively	respectively	ADV
ajst-8018	96	54	.	.	PUNCT
ajst-8018	97	1	the	the	DET
ajst-8018	97	2	collected	collect	VERB
ajst-8018	97	3	mri	mri	NOUN
ajst-8018	97	4	and	and	CCONJ
ajst-8018	97	5	ct	ct	NUM
ajst-8018	97	6	images	image	NOUN
ajst-8018	97	7	are	be	AUX
ajst-8018	97	8	contrasted	contrast	VERB
ajst-8018	97	9	and	and	CCONJ
ajst-8018	97	10	detailed	detailed	ADJ
ajst-8018	97	11	using	use	VERB
ajst-8018	97	12	usfusion	usfusion	NOUN
ajst-8018	97	13	,	,	PUNCT
ajst-8018	97	14	ifcnn	ifcnn	NOUN
ajst-8018	97	15	,	,	PUNCT
ajst-8018	97	16	and	and	CCONJ
ajst-8018	97	17	pgmi	pgmi	VERB
ajst-8018	97	18	deep	deep	ADJ
ajst-8018	97	19	learning	learning	NOUN
ajst-8018	97	20	algorithms	algorithm	NOUN
ajst-8018	97	21	,	,	PUNCT
ajst-8018	97	22	which	which	PRON
ajst-8018	97	23	maintain	maintain	VERB
ajst-8018	97	24	the	the	DET
ajst-8018	97	25	best	good	ADJ
ajst-8018	97	26	texture	texture	ADJ
ajst-8018	97	27	and	and	CCONJ
ajst-8018	97	28	functional	functional	ADJ
ajst-8018	97	29	information	information	NOUN
ajst-8018	97	30	.	.	PUNCT
ajst-8018	98	1	2.5	2.5	NUM
ajst-8018	98	2	.	.	PUNCT
ajst-8018	99	1	multi	multi	ADJ
ajst-8018	99	2	-	-	ADJ
ajst-8018	99	3	scale	scale	ADJ
ajst-8018	99	4	transformation	transformation	NOUN
ajst-8018	99	5	method	method	NOUN
ajst-8018	99	6	improvement	improvement	NOUN
ajst-8018	99	7	an	an	DET
ajst-8018	99	8	important	important	ADJ
ajst-8018	99	9	direction	direction	NOUN
ajst-8018	99	10	for	for	ADP
ajst-8018	99	11	medical	medical	ADJ
ajst-8018	99	12	picture	picture	NOUN
ajst-8018	99	13	fusion	fusion	NOUN
ajst-8018	99	14	is	be	AUX
ajst-8018	99	15	the	the	DET
ajst-8018	99	16	optimization	optimization	NOUN
ajst-8018	99	17	of	of	ADP
ajst-8018	99	18	multiscale	multiscale	ADJ
ajst-8018	99	19	decomposition	decomposition	NOUN
ajst-8018	99	20	.	.	PUNCT
ajst-8018	100	1	traditional	traditional	ADJ
ajst-8018	100	2	multiscale	multiscale	ADJ
ajst-8018	100	3	transformations	transformation	NOUN
ajst-8018	100	4	are	be	AUX
ajst-8018	100	5	used	use	VERB
ajst-8018	100	6	with	with	ADP
ajst-8018	100	7	deep	deep	ADJ
ajst-8018	100	8	learning	learning	NOUN
ajst-8018	100	9	-	-	PUNCT
ajst-8018	100	10	based	base	VERB
ajst-8018	100	11	medical	medical	ADJ
ajst-8018	100	12	image	image	NOUN
ajst-8018	100	13	fusion	fusion	NOUN
ajst-8018	100	14	techniques	technique	NOUN
ajst-8018	100	15	like	like	ADP
ajst-8018	100	16	cnn	cnn	PROPN
ajst-8018	100	17	,	,	PUNCT
ajst-8018	100	18	gan	gan	PROPN
ajst-8018	100	19	,	,	PUNCT
ajst-8018	100	20	etc	etc	X
ajst-8018	100	21	.	.	X
ajst-8018	100	22	to	to	PART
ajst-8018	100	23	dissect	dissect	VERB
ajst-8018	100	24	the	the	DET
ajst-8018	100	25	high	high	ADJ
ajst-8018	100	26	and	and	CCONJ
ajst-8018	100	27	low	low	ADJ
ajst-8018	100	28	-	-	PUNCT
ajst-8018	100	29	frequency	frequency	NOUN
ajst-8018	100	30	components	component	NOUN
ajst-8018	100	31	of	of	ADP
ajst-8018	100	32	pictures	picture	NOUN
ajst-8018	100	33	,	,	PUNCT
ajst-8018	100	34	and	and	CCONJ
ajst-8018	100	35	the	the	DET
ajst-8018	100	36	images	image	NOUN
ajst-8018	100	37	are	be	AUX
ajst-8018	100	38	then	then	ADV
ajst-8018	100	39	fused	fuse	VERB
ajst-8018	100	40	using	use	VERB
ajst-8018	100	41	various	various	ADJ
ajst-8018	100	42	fusion	fusion	NOUN
ajst-8018	100	43	rules	rule	NOUN
ajst-8018	100	44	.	.	PUNCT
ajst-8018	101	1	translation	translation	NOUN
ajst-8018	101	2	invariance	invariance	NOUN
ajst-8018	101	3	issues	issue	NOUN
ajst-8018	101	4	plague	plague	VERB
ajst-8018	101	5	earlier	early	ADV
ajst-8018	101	6	multiscale	multiscale	NOUN
ajst-8018	101	7	decompositions	decomposition	NOUN
ajst-8018	101	8	like	like	ADP
ajst-8018	101	9	curvilinear	curvilinear	NOUN
ajst-8018	101	10	and	and	CCONJ
ajst-8018	101	11	contour	contour	NOUN
ajst-8018	101	12	waves	wave	NOUN
ajst-8018	101	13	,	,	PUNCT
ajst-8018	101	14	and	and	CCONJ
ajst-8018	101	15	to	to	PART
ajst-8018	101	16	address	address	VERB
ajst-8018	101	17	these	these	DET
ajst-8018	101	18	issues	issue	NOUN
ajst-8018	101	19	,	,	PUNCT
ajst-8018	101	20	the	the	DET
ajst-8018	101	21	non	non	ADJ
ajst-8018	101	22	-	-	ADJ
ajst-8018	101	23	downsampled	downsample	VERB
ajst-8018	101	24	contour	contour	NOUN
ajst-8018	101	25	wave	wave	NOUN
ajst-8018	101	26	nsct	nsct	PROPN
ajst-8018	101	27	was	be	AUX
ajst-8018	101	28	introduced	introduce	VERB
ajst-8018	101	29	in	in	ADP
ajst-8018	101	30	[	[	X
ajst-8018	101	31	36	36	NUM
ajst-8018	101	32	]	]	PUNCT
ajst-8018	101	33	for	for	ADP
ajst-8018	101	34	picture	picture	NOUN
ajst-8018	101	35	fusion	fusion	NOUN
ajst-8018	101	36	.	.	PUNCT
ajst-8018	102	1	to	to	PART
ajst-8018	102	2	address	address	VERB
ajst-8018	102	3	the	the	DET
ajst-8018	102	4	issue	issue	NOUN
ajst-8018	102	5	of	of	ADP
ajst-8018	102	6	considerable	considerable	ADJ
ajst-8018	102	7	intensity	intensity	NOUN
ajst-8018	102	8	changes	change	NOUN
ajst-8018	102	9	across	across	ADP
ajst-8018	102	10	several	several	ADJ
ajst-8018	102	11	multimodal	multimodal	ADJ
ajst-8018	102	12	medical	medical	ADJ
ajst-8018	102	13	pictures	picture	NOUN
ajst-8018	102	14	at	at	ADP
ajst-8018	102	15	the	the	DET
ajst-8018	102	16	same	same	ADJ
ajst-8018	102	17	place	place	NOUN
ajst-8018	102	18	,	,	PUNCT
ajst-8018	102	19	wang	wang	PROPN
ajst-8018	102	20	et	et	PROPN
ajst-8018	102	21	al	al	PROPN
ajst-8018	102	22	.	.	PUNCT
ajst-8018	103	1	[	[	X
ajst-8018	103	2	37	37	NUM
ajst-8018	103	3	]	]	PUNCT
ajst-8018	103	4	suggested	suggest	VERB
ajst-8018	103	5	medical	medical	ADJ
ajst-8018	103	6	image	image	NOUN
ajst-8018	103	7	fusion	fusion	NOUN
ajst-8018	103	8	based	base	VERB
ajst-8018	103	9	on	on	ADP
ajst-8018	103	10	convolutional	convolutional	ADJ
ajst-8018	103	11	neural	neural	ADJ
ajst-8018	103	12	networks	network	NOUN
ajst-8018	103	13	and	and	CCONJ
ajst-8018	103	14	non	non	ADJ
ajst-8018	103	15	-	-	ADJ
ajst-8018	103	16	downsampled	downsample	VERB
ajst-8018	103	17	contour	contour	NOUN
ajst-8018	103	18	waves	wave	NOUN
ajst-8018	103	19	(	(	PUNCT
ajst-8018	103	20	nsct	nsct	PROPN
ajst-8018	103	21	)	)	PUNCT
ajst-8018	103	22	.	.	PUNCT
ajst-8018	104	1	this	this	PRON
ajst-8018	104	2	was	be	AUX
ajst-8018	104	3	made	make	VERB
ajst-8018	104	4	possible	possible	ADJ
ajst-8018	104	5	by	by	ADP
ajst-8018	104	6	the	the	DET
ajst-8018	104	7	translation	translation	NOUN
ajst-8018	104	8	invariance	invariance	NOUN
ajst-8018	104	9	of	of	ADP
ajst-8018	104	10	nsct	nsct	PROPN
ajst-8018	104	11	.	.	PUNCT
ajst-8018	105	1	goyal	goyal	PROPN
ajst-8018	105	2	et	et	PROPN
ajst-8018	105	3	al	al	PROPN
ajst-8018	105	4	.	.	PUNCT
ajst-8018	106	1	[	[	X
ajst-8018	106	2	38	38	NUM
ajst-8018	106	3	]	]	PUNCT
ajst-8018	106	4	used	use	VERB
ajst-8018	106	5	convolutional	convolutional	ADJ
ajst-8018	106	6	neural	neural	ADJ
ajst-8018	106	7	networks	network	NOUN
ajst-8018	106	8	and	and	CCONJ
ajst-8018	106	9	fractional	fractional	ADJ
ajst-8018	106	10	order	order	NOUN
ajst-8018	106	11	total	total	ADJ
ajst-8018	106	12	generalized	generalize	VERB
ajst-8018	106	13	variance	variance	NOUN
ajst-8018	106	14	(	(	PUNCT
ajst-8018	106	15	fotga	fotga	PROPN
ajst-8018	106	16	)	)	PUNCT
ajst-8018	106	17	in	in	ADP
ajst-8018	106	18	the	the	DET
ajst-8018	106	19	nsct	nsct	PROPN
ajst-8018	106	20	domain	domain	NOUN
ajst-8018	106	21	for	for	ADP
ajst-8018	106	22	multimodal	multimodal	NOUN
ajst-8018	106	23	medical	medical	ADJ
ajst-8018	106	24	image	image	NOUN
ajst-8018	106	25	fusion	fusion	NOUN
ajst-8018	106	26	and	and	CCONJ
ajst-8018	106	27	denoising	denoising	NOUN
ajst-8018	106	28	,	,	PUNCT
ajst-8018	106	29	first	first	ADV
ajst-8018	106	30	extracting	extract	VERB
ajst-8018	106	31	features	feature	NOUN
ajst-8018	106	32	from	from	ADP
ajst-8018	106	33	noisy	noisy	ADJ
ajst-8018	106	34	source	source	NOUN
ajst-8018	106	35	images	image	NOUN
ajst-8018	106	36	using	use	VERB
ajst-8018	106	37	the	the	DET
ajst-8018	106	38	non	non	ADJ
ajst-8018	106	39	-	-	ADJ
ajst-8018	106	40	subsampled	subsampled	ADJ
ajst-8018	106	41	contour	contour	NOUN
ajst-8018	106	42	transform	transform	NOUN
ajst-8018	106	43	(	(	PUNCT
ajst-8018	106	44	nsct	nsct	PROPN
ajst-8018	106	45	)	)	PUNCT
ajst-8018	106	46	.	.	PUNCT
ajst-8018	107	1	they	they	PRON
ajst-8018	107	2	hypothesized	hypothesize	VERB
ajst-8018	107	3	that	that	SCONJ
ajst-8018	107	4	the	the	DET
ajst-8018	107	5	acquired	acquire	VERB
ajst-8018	107	6	medical	medical	ADJ
ajst-8018	107	7	images	image	NOUN
ajst-8018	107	8	might	might	AUX
ajst-8018	107	9	be	be	AUX
ajst-8018	107	10	corrupted	corrupt	VERB
ajst-8018	107	11	by	by	ADP
ajst-8018	107	12	noise	noise	NOUN
ajst-8018	107	13	due	due	ADP
ajst-8018	107	14	to	to	ADP
ajst-8018	107	15	sensor	sensor	VERB
ajst-8018	107	16	transmission	transmission	NOUN
ajst-8018	107	17	errors	error	NOUN
ajst-8018	107	18	.	.	PUNCT
ajst-8018	108	1	then	then	ADV
ajst-8018	108	2	,	,	PUNCT
ajst-8018	108	3	a	a	DET
ajst-8018	108	4	concatenated	concatenate	VERB
ajst-8018	108	5	convolutional	convolutional	ADJ
ajst-8018	108	6	neural	neural	ADJ
ajst-8018	108	7	network	network	NOUN
ajst-8018	108	8	is	be	AUX
ajst-8018	108	9	utilized	utilize	VERB
ajst-8018	108	10	to	to	PART
ajst-8018	108	11	weigh	weigh	VERB
ajst-8018	108	12	and	and	CCONJ
ajst-8018	108	13	fuse	fuse	VERB
ajst-8018	108	14	the	the	DET
ajst-8018	108	15	important	important	ADJ
ajst-8018	108	16	characteristics	characteristic	NOUN
ajst-8018	108	17	from	from	ADP
ajst-8018	108	18	the	the	DET
ajst-8018	108	19	two	two	NUM
ajst-8018	108	20	multimodal	multimodal	ADJ
ajst-8018	108	21	pictures	picture	NOUN
ajst-8018	108	22	.	.	PUNCT
ajst-8018	109	1	the	the	DET
ajst-8018	109	2	noise	noise	NOUN
ajst-8018	109	3	information	information	NOUN
ajst-8018	109	4	of	of	ADP
ajst-8018	109	5	the	the	DET
ajst-8018	109	6	fused	fuse	VERB
ajst-8018	109	7	pictures	picture	NOUN
ajst-8018	109	8	is	be	AUX
ajst-8018	109	9	decreased	decrease	VERB
ajst-8018	109	10	by	by	ADP
ajst-8018	109	11	using	use	VERB
ajst-8018	109	12	the	the	DET
ajst-8018	109	13	fractional	fractional	ADJ
ajst-8018	109	14	order	order	NOUN
ajst-8018	109	15	total	total	ADJ
ajst-8018	109	16	generalized	generalized	ADJ
ajst-8018	109	17	variation	variation	NOUN
ajst-8018	109	18	(	(	PUNCT
ajst-8018	109	19	fotgv	fotgv	NOUN
ajst-8018	109	20	)	)	PUNCT
ajst-8018	109	21	approach	approach	NOUN
ajst-8018	109	22	for	for	ADP
ajst-8018	109	23	noise	noise	NOUN
ajst-8018	109	24	reduction	reduction	NOUN
ajst-8018	109	25	.	.	PUNCT
ajst-8018	110	1	shibu	shibu	PROPN
ajst-8018	110	2	et	et	PROPN
ajst-8018	110	3	al	al	PROPN
ajst-8018	110	4	.	.	PUNCT
ajst-8018	111	1	[	[	X
ajst-8018	111	2	39	39	NUM
ajst-8018	111	3	]	]	PUNCT
ajst-8018	111	4	suggested	suggest	VERB
ajst-8018	111	5	a	a	DET
ajst-8018	111	6	unique	unique	ADJ
ajst-8018	111	7	method	method	NOUN
ajst-8018	111	8	for	for	ADP
ajst-8018	111	9	merging	merge	VERB
ajst-8018	111	10	medical	medical	ADJ
ajst-8018	111	11	pictures	picture	NOUN
ajst-8018	111	12	that	that	PRON
ajst-8018	111	13	rely	rely	VERB
ajst-8018	111	14	on	on	ADP
ajst-8018	111	15	convolutional	convolutional	ADJ
ajst-8018	111	16	neural	neural	ADJ
ajst-8018	111	17	networks	network	NOUN
ajst-8018	111	18	and	and	CCONJ
ajst-8018	111	19	multi	multi	ADJ
ajst-8018	111	20	-	-	ADJ
ajst-8018	111	21	scale	scale	ADJ
ajst-8018	111	22	decomposition	decomposition	NOUN
ajst-8018	111	23	with	with	ADP
ajst-8018	111	24	sparse	sparse	ADJ
ajst-8018	111	25	representation	representation	NOUN
ajst-8018	111	26	,	,	PUNCT
ajst-8018	111	27	in	in	ADP
ajst-8018	111	28	contrast	contrast	NOUN
ajst-8018	111	29	to	to	ADP
ajst-8018	111	30	wang	wang	PROPN
ajst-8018	111	31	et	et	PROPN
ajst-8018	111	32	al	al	PROPN
ajst-8018	111	33	.	.	PUNCT
ajst-8018	112	1	the	the	DET
ajst-8018	112	2	original	original	ADJ
ajst-8018	112	3	picture	picture	NOUN
ajst-8018	112	4	was	be	AUX
ajst-8018	112	5	split	split	VERB
ajst-8018	112	6	into	into	ADP
ajst-8018	112	7	low	low	ADJ
ajst-8018	112	8	and	and	CCONJ
ajst-8018	112	9	high	high	ADJ
ajst-8018	112	10	-	-	PUNCT
ajst-8018	112	11	frequency	frequency	NOUN
ajst-8018	112	12	layers	layer	NOUN
ajst-8018	112	13	using	use	VERB
ajst-8018	112	14	l0	l0	NOUN
ajst-8018	112	15	smoothing	smoothing	NOUN
ajst-8018	112	16	filters	filter	NOUN
ajst-8018	112	17	,	,	PUNCT
ajst-8018	112	18	and	and	CCONJ
ajst-8018	112	19	the	the	DET
ajst-8018	112	20	high	high	ADJ
ajst-8018	112	21	-	-	PUNCT
ajst-8018	112	22	frequency	frequency	NOUN
ajst-8018	112	23	layers	layer	NOUN
ajst-8018	112	24	were	be	AUX
ajst-8018	112	25	combined	combine	VERB
ajst-8018	112	26	using	use	VERB
ajst-8018	112	27	cnn	cnn	PROPN
ajst-8018	112	28	.	.	PUNCT
ajst-8018	113	1	the	the	DET
ajst-8018	113	2	lowfrequency	lowfrequency	NOUN
ajst-8018	113	3	layers	layer	NOUN
ajst-8018	113	4	were	be	AUX
ajst-8018	113	5	combined	combine	VERB
ajst-8018	113	6	using	use	VERB
ajst-8018	113	7	nsct	nsct	NOUN
ajst-8018	113	8	-	-	PUNCT
ajst-8018	113	9	based	base	VERB
ajst-8018	113	10	sparse	sparse	ADJ
ajst-8018	113	11	representations	representation	NOUN
ajst-8018	113	12	(	(	PUNCT
ajst-8018	113	13	nsct	nsct	PROPN
ajst-8018	113	14	and	and	CCONJ
ajst-8018	113	15	sr	sr	PROPN
ajst-8018	113	16	)	)	PUNCT
ajst-8018	113	17	,	,	PUNCT
ajst-8018	113	18	and	and	CCONJ
ajst-8018	113	19	the	the	DET
ajst-8018	113	20	combined	combine	VERB
ajst-8018	113	21	image	image	NOUN
ajst-8018	113	22	was	be	AUX
ajst-8018	113	23	then	then	ADV
ajst-8018	113	24	rebuilt	rebuild	VERB
ajst-8018	113	25	.	.	PUNCT
ajst-8018	114	1	it	it	PRON
ajst-8018	114	2	uses	use	VERB
ajst-8018	114	3	nsct	nsct	ADJ
ajst-8018	114	4	decomposition	decomposition	NOUN
ajst-8018	114	5	to	to	PART
ajst-8018	114	6	enhance	enhance	VERB
ajst-8018	114	7	the	the	DET
ajst-8018	114	8	visual	visual	ADJ
ajst-8018	114	9	quality	quality	NOUN
ajst-8018	114	10	.	.	PUNCT
ajst-8018	115	1	this	this	DET
ajst-8018	115	2	decomposition	decomposition	NOUN
ajst-8018	115	3	,	,	PUNCT
ajst-8018	115	4	nevertheless	nevertheless	ADV
ajst-8018	115	5	,	,	PUNCT
ajst-8018	115	6	is	be	AUX
ajst-8018	115	7	limited	limit	VERB
ajst-8018	115	8	to	to	ADP
ajst-8018	115	9	a	a	DET
ajst-8018	115	10	certain	certain	ADJ
ajst-8018	115	11	number	number	NOUN
ajst-8018	115	12	of	of	ADP
ajst-8018	115	13	directional	directional	ADJ
ajst-8018	115	14	components	component	NOUN
ajst-8018	115	15	.	.	PUNCT
ajst-8018	116	1	the	the	DET
ajst-8018	116	2	translation	translation	NOUN
ajst-8018	116	3	invariance	invariance	NOUN
ajst-8018	116	4	issue	issue	NOUN
ajst-8018	116	5	is	be	AUX
ajst-8018	116	6	also	also	ADV
ajst-8018	116	7	addressed	address	VERB
ajst-8018	116	8	by	by	ADP
ajst-8018	116	9	the	the	DET
ajst-8018	116	10	non	non	ADJ
ajst-8018	116	11	-	-	ADJ
ajst-8018	116	12	downsampled	downsample	VERB
ajst-8018	116	13	shear	shear	NOUN
ajst-8018	116	14	wave	wave	NOUN
ajst-8018	116	15	transform	transform	NOUN
ajst-8018	116	16	(	(	PUNCT
ajst-8018	116	17	nsst	nsst	NOUN
ajst-8018	116	18	)	)	PUNCT
ajst-8018	116	19	,	,	PUNCT
ajst-8018	116	20	which	which	PRON
ajst-8018	116	21	has	have	AUX
ajst-8018	116	22	been	be	AUX
ajst-8018	116	23	proposed	propose	VERB
ajst-8018	116	24	as	as	ADP
ajst-8018	116	25	a	a	DET
ajst-8018	116	26	means	means	NOUN
ajst-8018	116	27	of	of	ADP
ajst-8018	116	28	228	228	NUM
ajst-8018	116	29	overcoming	overcome	VERB
ajst-8018	116	30	these	these	DET
ajst-8018	116	31	restrictions	restriction	NOUN
ajst-8018	116	32	.	.	PUNCT
ajst-8018	117	1	using	use	VERB
ajst-8018	117	2	the	the	DET
ajst-8018	117	3	non	non	ADJ
ajst-8018	117	4	-	-	ADJ
ajst-8018	117	5	subsampled	subsample	VERB
ajst-8018	117	6	shear	shear	NOUN
ajst-8018	117	7	wave	wave	NOUN
ajst-8018	117	8	transform	transform	NOUN
ajst-8018	117	9	(	(	PUNCT
ajst-8018	117	10	nsst	nsst	NOUN
ajst-8018	117	11	)	)	PUNCT
ajst-8018	117	12	and	and	CCONJ
ajst-8018	117	13	the	the	DET
ajst-8018	117	14	curvilinear	curvilinear	PROPN
ajst-8018	117	15	wave	wave	NOUN
ajst-8018	117	16	transform	transform	NOUN
ajst-8018	117	17	,	,	PUNCT
ajst-8018	117	18	for	for	ADP
ajst-8018	117	19	instance	instance	NOUN
ajst-8018	117	20	,	,	PUNCT
ajst-8018	117	21	abas	abas	PROPN
ajst-8018	117	22	et	et	PROPN
ajst-8018	117	23	al	al	PROPN
ajst-8018	117	24	.	.	PUNCT
ajst-8018	118	1	[	[	X
ajst-8018	118	2	40	40	NUM
ajst-8018	118	3	]	]	PUNCT
ajst-8018	118	4	suggested	suggest	VERB
ajst-8018	118	5	a	a	DET
ajst-8018	118	6	novel	novel	ADJ
ajst-8018	118	7	convolutional	convolutional	ADJ
ajst-8018	118	8	neural	neural	ADJ
ajst-8018	118	9	network	network	NOUN
ajst-8018	118	10	-	-	PUNCT
ajst-8018	118	11	based	base	VERB
ajst-8018	118	12	technique	technique	NOUN
ajst-8018	118	13	that	that	PRON
ajst-8018	118	14	divides	divide	VERB
ajst-8018	118	15	the	the	DET
ajst-8018	118	16	source	source	NOUN
ajst-8018	118	17	picture	picture	NOUN
ajst-8018	118	18	into	into	ADP
ajst-8018	118	19	low	low	ADJ
ajst-8018	118	20	-	-	PUNCT
ajst-8018	118	21	frequency	frequency	NOUN
ajst-8018	118	22	and	and	CCONJ
ajst-8018	118	23	high	high	ADJ
ajst-8018	118	24	-	-	PUNCT
ajst-8018	118	25	frequency	frequency	NOUN
ajst-8018	118	26	components	component	NOUN
ajst-8018	118	27	first	first	ADV
ajst-8018	118	28	.	.	PUNCT
ajst-8018	119	1	second	second	ADV
ajst-8018	119	2	,	,	PUNCT
ajst-8018	119	3	a	a	DET
ajst-8018	119	4	weight	weight	NOUN
ajst-8018	119	5	map	map	NOUN
ajst-8018	119	6	produced	produce	VERB
ajst-8018	119	7	by	by	ADP
ajst-8018	119	8	a	a	DET
ajst-8018	119	9	concatenated	concatenate	VERB
ajst-8018	119	10	convolutional	convolutional	ADJ
ajst-8018	119	11	neural	neural	ADJ
ajst-8018	119	12	network	network	NOUN
ajst-8018	119	13	(	(	PUNCT
ajst-8018	119	14	scnn	scnn	PROPN
ajst-8018	119	15	)	)	PUNCT
ajst-8018	119	16	,	,	PUNCT
ajst-8018	119	17	which	which	PRON
ajst-8018	119	18	is	be	AUX
ajst-8018	119	19	formed	form	VERB
ajst-8018	119	20	from	from	ADP
ajst-8018	119	21	several	several	ADJ
ajst-8018	119	22	feature	feature	NOUN
ajst-8018	119	23	maps	map	NOUN
ajst-8018	119	24	that	that	PRON
ajst-8018	119	25	include	include	VERB
ajst-8018	119	26	information	information	NOUN
ajst-8018	119	27	on	on	ADP
ajst-8018	119	28	pixel	pixel	ADJ
ajst-8018	119	29	activity	activity	NOUN
ajst-8018	119	30	from	from	ADP
ajst-8018	119	31	various	various	ADJ
ajst-8018	119	32	sources	source	NOUN
ajst-8018	119	33	,	,	PUNCT
ajst-8018	119	34	is	be	AUX
ajst-8018	119	35	used	use	VERB
ajst-8018	119	36	to	to	PART
ajst-8018	119	37	combine	combine	VERB
ajst-8018	119	38	the	the	DET
ajst-8018	119	39	low	low	ADJ
ajst-8018	119	40	-	-	PUNCT
ajst-8018	119	41	frequency	frequency	NOUN
ajst-8018	119	42	and	and	CCONJ
ajst-8018	119	43	high	high	ADJ
ajst-8018	119	44	-	-	PUNCT
ajst-8018	119	45	frequency	frequency	NOUN
ajst-8018	119	46	coefficients	coefficient	NOUN
ajst-8018	119	47	.	.	PUNCT
ajst-8018	120	1	finally	finally	ADV
ajst-8018	120	2	,	,	PUNCT
ajst-8018	120	3	multi	multi	ADJ
ajst-8018	120	4	-	-	ADJ
ajst-8018	120	5	scale	scale	ADJ
ajst-8018	120	6	inverse	inverse	NOUN
ajst-8018	120	7	transform	transform	NOUN
ajst-8018	120	8	(	(	PUNCT
ajst-8018	120	9	mst	mst	PROPN
ajst-8018	120	10	)	)	PUNCT
ajst-8018	120	11	is	be	AUX
ajst-8018	120	12	employed	employ	VERB
ajst-8018	120	13	to	to	PART
ajst-8018	120	14	recreate	recreate	VERB
ajst-8018	120	15	the	the	DET
ajst-8018	120	16	fused	fuse	VERB
ajst-8018	120	17	pictures	picture	NOUN
ajst-8018	120	18	.	.	PUNCT
ajst-8018	121	1	experiments	experiment	NOUN
ajst-8018	121	2	show	show	VERB
ajst-8018	121	3	that	that	SCONJ
ajst-8018	121	4	the	the	DET
ajst-8018	121	5	suggested	suggest	VERB
ajst-8018	121	6	strategy	strategy	NOUN
ajst-8018	121	7	performs	perform	VERB
ajst-8018	121	8	well	well	ADV
ajst-8018	121	9	in	in	ADP
ajst-8018	121	10	terms	term	NOUN
ajst-8018	121	11	of	of	ADP
ajst-8018	121	12	visual	visual	ADJ
ajst-8018	121	13	quality	quality	NOUN
ajst-8018	121	14	and	and	CCONJ
ajst-8018	121	15	objective	objective	ADJ
ajst-8018	121	16	assessment	assessment	NOUN
ajst-8018	121	17	,	,	PUNCT
ajst-8018	121	18	and	and	CCONJ
ajst-8018	121	19	may	may	AUX
ajst-8018	121	20	efficiently	efficiently	ADV
ajst-8018	121	21	maintain	maintain	VERB
ajst-8018	121	22	complex	complex	ADJ
ajst-8018	121	23	structural	structural	ADJ
ajst-8018	121	24	information	information	NOUN
ajst-8018	121	25	.	.	PUNCT
ajst-8018	122	1	3	3	X
ajst-8018	122	2	.	.	X
ajst-8018	122	3	application	application	NOUN
ajst-8018	122	4	of	of	ADP
ajst-8018	122	5	multimodal	multimodal	ADJ
ajst-8018	122	6	medical	medical	ADJ
ajst-8018	122	7	image	image	NOUN
ajst-8018	122	8	fusion	fusion	NOUN
ajst-8018	122	9	deep	deep	ADJ
ajst-8018	122	10	learning	learning	NOUN
ajst-8018	122	11	-	-	PUNCT
ajst-8018	122	12	based	base	VERB
ajst-8018	122	13	medical	medical	ADJ
ajst-8018	122	14	image	image	NOUN
ajst-8018	122	15	fusion	fusion	NOUN
ajst-8018	122	16	methods	method	NOUN
ajst-8018	122	17	are	be	AUX
ajst-8018	122	18	mainly	mainly	ADV
ajst-8018	122	19	applied	apply	VERB
ajst-8018	122	20	to	to	ADP
ajst-8018	122	21	the	the	DET
ajst-8018	122	22	diagnosis	diagnosis	NOUN
ajst-8018	122	23	of	of	ADP
ajst-8018	122	24	brain	brain	NOUN
ajst-8018	122	25	diseases	disease	NOUN
ajst-8018	122	26	represented	represent	VERB
ajst-8018	122	27	by	by	ADP
ajst-8018	122	28	brain	brain	NOUN
ajst-8018	122	29	tumors	tumor	NOUN
ajst-8018	122	30	and	and	CCONJ
ajst-8018	122	31	alzheimer	alzheimer	PROPN
ajst-8018	122	32	's	's	PART
ajst-8018	122	33	disease	disease	NOUN
ajst-8018	122	34	,	,	PUNCT
ajst-8018	122	35	as	as	ADV
ajst-8018	122	36	well	well	ADV
ajst-8018	122	37	as	as	ADP
ajst-8018	122	38	liver	liver	NOUN
ajst-8018	122	39	diseases	disease	NOUN
ajst-8018	122	40	and	and	CCONJ
ajst-8018	122	41	lung	lung	NOUN
ajst-8018	122	42	diseases	disease	NOUN
ajst-8018	122	43	.	.	PUNCT
ajst-8018	123	1	3.1	3.1	NUM
ajst-8018	123	2	.	.	PUNCT
ajst-8018	123	3	multimodal	multimodal	ADJ
ajst-8018	123	4	fusion	fusion	NOUN
ajst-8018	123	5	of	of	ADP
ajst-8018	123	6	brain	brain	NOUN
ajst-8018	123	7	diseases	disease	NOUN
ajst-8018	123	8	for	for	ADP
ajst-8018	123	9	the	the	DET
ajst-8018	123	10	detection	detection	NOUN
ajst-8018	123	11	and	and	CCONJ
ajst-8018	123	12	surgical	surgical	ADJ
ajst-8018	123	13	diagnosis	diagnosis	NOUN
ajst-8018	123	14	of	of	ADP
ajst-8018	123	15	brain	brain	NOUN
ajst-8018	123	16	disorders	disorder	NOUN
ajst-8018	123	17	including	include	VERB
ajst-8018	123	18	alzheimer	alzheimer	PROPN
ajst-8018	123	19	's	's	PART
ajst-8018	123	20	disease	disease	NOUN
ajst-8018	123	21	and	and	CCONJ
ajst-8018	123	22	brain	brain	NOUN
ajst-8018	123	23	malignancies	malignancy	NOUN
ajst-8018	123	24	,	,	PUNCT
ajst-8018	123	25	multimodal	multimodal	ADJ
ajst-8018	123	26	medical	medical	ADJ
ajst-8018	123	27	image	image	NOUN
ajst-8018	123	28	fusion	fusion	NOUN
ajst-8018	123	29	is	be	AUX
ajst-8018	123	30	frequently	frequently	ADV
ajst-8018	123	31	employed	employ	VERB
ajst-8018	123	32	.	.	PUNCT
ajst-8018	124	1	lei	lei	PROPN
ajst-8018	124	2	et	et	PROPN
ajst-8018	124	3	al	al	PROPN
ajst-8018	124	4	.	.	PUNCT
ajst-8018	125	1	[	[	X
ajst-8018	125	2	41	41	NUM
ajst-8018	125	3	]	]	PUNCT
ajst-8018	125	4	,	,	PUNCT
ajst-8018	125	5	for	for	ADP
ajst-8018	125	6	instance	instance	NOUN
ajst-8018	125	7	,	,	PUNCT
ajst-8018	125	8	fused	fuse	VERB
ajst-8018	125	9	mri	mri	NOUN
ajst-8018	125	10	-	-	PUNCT
ajst-8018	125	11	pet	pet	NOUN
ajst-8018	125	12	images	image	NOUN
ajst-8018	125	13	using	use	VERB
ajst-8018	125	14	conventional	conventional	ADJ
ajst-8018	125	15	correlation	correlation	NOUN
ajst-8018	125	16	analysis	analysis	NOUN
ajst-8018	125	17	(	(	PUNCT
ajst-8018	125	18	cca	cca	NOUN
ajst-8018	125	19	)	)	PUNCT
ajst-8018	125	20	to	to	PART
ajst-8018	125	21	detect	detect	VERB
ajst-8018	125	22	alzheimer	alzheimer	PROPN
ajst-8018	125	23	's	's	PART
ajst-8018	125	24	disease	disease	NOUN
ajst-8018	125	25	(	(	PUNCT
ajst-8018	125	26	ad	ad	NOUN
ajst-8018	125	27	)	)	PUNCT
ajst-8018	125	28	with	with	ADP
ajst-8018	125	29	a	a	DET
ajst-8018	125	30	diagnostic	diagnostic	ADJ
ajst-8018	125	31	accuracy	accuracy	NOUN
ajst-8018	125	32	of	of	ADP
ajst-8018	125	33	96.93	96.93	NUM
ajst-8018	125	34	%	%	NOUN
ajst-8018	125	35	.	.	PUNCT
ajst-8018	126	1	to	to	PART
ajst-8018	126	2	combine	combine	VERB
ajst-8018	126	3	visual	visual	ADJ
ajst-8018	126	4	feature	feature	NOUN
ajst-8018	126	5	imaging	image	VERB
ajst-8018	126	6	md	md	PROPN
ajst-8018	126	7	maps	map	NOUN
ajst-8018	126	8	from	from	ADP
ajst-8018	126	9	structural	structural	ADJ
ajst-8018	126	10	mri	mri	NOUN
ajst-8018	126	11	and	and	CCONJ
ajst-8018	126	12	diffusion	diffusion	NOUN
ajst-8018	126	13	tensor	tensor	NOUN
ajst-8018	126	14	to	to	PART
ajst-8018	126	15	discriminate	discriminate	VERB
ajst-8018	126	16	ad	ad	NOUN
ajst-8018	126	17	from	from	ADP
ajst-8018	126	18	mci	mci	PROPN
ajst-8018	126	19	diseases	disease	NOUN
ajst-8018	126	20	,	,	PUNCT
ajst-8018	126	21	ahmed	ahme	VERB
ajst-8018	126	22	[	[	PUNCT
ajst-8018	126	23	42	42	NUM
ajst-8018	126	24	]	]	PUNCT
ajst-8018	126	25	suggested	suggest	VERB
ajst-8018	126	26	a	a	DET
ajst-8018	126	27	multimodal	multimodal	ADJ
ajst-8018	126	28	image	image	NOUN
ajst-8018	126	29	fusion	fusion	NOUN
ajst-8018	126	30	approach	approach	NOUN
ajst-8018	126	31	based	base	VERB
ajst-8018	126	32	on	on	ADP
ajst-8018	126	33	multinuclear	multinuclear	NOUN
ajst-8018	126	34	learning	learning	PROPN
ajst-8018	126	35	(	(	PUNCT
ajst-8018	126	36	mkl	mkl	PROPN
ajst-8018	126	37	)	)	PUNCT
ajst-8018	126	38	.	.	PUNCT
ajst-8018	127	1	to	to	PART
ajst-8018	127	2	detect	detect	VERB
ajst-8018	127	3	brain	brain	NOUN
ajst-8018	127	4	cancers	cancer	NOUN
ajst-8018	127	5	,	,	PUNCT
ajst-8018	127	6	algani	algani	PROPN
ajst-8018	127	7	et	et	PROPN
ajst-8018	127	8	al	al	PROPN
ajst-8018	127	9	.	.	PUNCT
ajst-8018	128	1	[	[	X
ajst-8018	128	2	43	43	NUM
ajst-8018	128	3	]	]	PUNCT
ajst-8018	128	4	fused	fused	ADJ
ajst-8018	128	5	mri	mri	NOUN
ajst-8018	128	6	-	-	PUNCT
ajst-8018	128	7	ct	ct	NUM
ajst-8018	128	8	images	image	NOUN
ajst-8018	128	9	using	use	VERB
ajst-8018	128	10	a	a	DET
ajst-8018	128	11	cnn	cnn	PROPN
ajst-8018	128	12	method	method	NOUN
ajst-8018	128	13	.	.	PUNCT
ajst-8018	129	1	for	for	ADP
ajst-8018	129	2	the	the	DET
ajst-8018	129	3	diagnosis	diagnosis	NOUN
ajst-8018	129	4	of	of	ADP
ajst-8018	129	5	alzheimer	alzheimer	PROPN
ajst-8018	129	6	's	's	PART
ajst-8018	129	7	disease	disease	NOUN
ajst-8018	129	8	,	,	PUNCT
ajst-8018	129	9	vu	vu	X
ajst-8018	129	10	et	et	NOUN
ajst-8018	129	11	al	al	PROPN
ajst-8018	129	12	.	.	PUNCT
ajst-8018	130	1	[	[	X
ajst-8018	130	2	44	44	NUM
ajst-8018	130	3	]	]	PUNCT
ajst-8018	130	4	suggested	suggest	VERB
ajst-8018	130	5	multimodal	multimodal	NOUN
ajst-8018	130	6	picture	picture	NOUN
ajst-8018	130	7	fusion	fusion	NOUN
ajst-8018	130	8	based	base	VERB
ajst-8018	130	9	on	on	ADP
ajst-8018	130	10	convolutional	convolutional	ADJ
ajst-8018	130	11	neural	neural	ADJ
ajst-8018	130	12	networks	network	NOUN
ajst-8018	130	13	and	and	CCONJ
ajst-8018	130	14	sparse	sparse	ADJ
ajst-8018	130	15	self-coding.to	self-coding.to	NOUN
ajst-8018	130	16	identify	identify	VERB
ajst-8018	130	17	an	an	DET
ajst-8018	130	18	effective	effective	ADJ
ajst-8018	130	19	convolutional	convolutional	ADJ
ajst-8018	130	20	filter	filter	NOUN
ajst-8018	130	21	,	,	PUNCT
ajst-8018	130	22	pet	pet	ADJ
ajst-8018	130	23	and	and	CCONJ
ajst-8018	130	24	mri	mri	NOUN
ajst-8018	130	25	image	image	NOUN
ajst-8018	130	26	data	datum	NOUN
ajst-8018	130	27	were	be	AUX
ajst-8018	130	28	trained	train	VERB
ajst-8018	130	29	and	and	CCONJ
ajst-8018	130	30	evaluated	evaluate	VERB
ajst-8018	130	31	using	use	VERB
ajst-8018	130	32	coefficient	coefficient	NOUN
ajst-8018	130	33	autoencoders	autoencoder	NOUN
ajst-8018	130	34	.	.	PUNCT
ajst-8018	131	1	a	a	DET
ajst-8018	131	2	threelayer	threelayer	NOUN
ajst-8018	131	3	neural	neural	ADJ
ajst-8018	131	4	network	network	NOUN
ajst-8018	131	5	with	with	ADP
ajst-8018	131	6	a	a	DET
ajst-8018	131	7	softmax	softmax	NOUN
ajst-8018	131	8	function	function	NOUN
ajst-8018	131	9	was	be	AUX
ajst-8018	131	10	then	then	ADV
ajst-8018	131	11	utilized	utilize	VERB
ajst-8018	131	12	to	to	PART
ajst-8018	131	13	achieve	achieve	VERB
ajst-8018	131	14	classification	classification	NOUN
ajst-8018	131	15	.	.	PUNCT
ajst-8018	132	1	according	accord	VERB
ajst-8018	132	2	to	to	ADP
ajst-8018	132	3	the	the	DET
ajst-8018	132	4	findings	finding	NOUN
ajst-8018	132	5	,	,	PUNCT
ajst-8018	132	6	there	there	PRON
ajst-8018	132	7	was	be	VERB
ajst-8018	132	8	a	a	DET
ajst-8018	132	9	90	90	NUM
ajst-8018	132	10	%	%	NOUN
ajst-8018	132	11	accuracy	accuracy	NOUN
ajst-8018	132	12	rate	rate	NOUN
ajst-8018	132	13	between	between	ADP
ajst-8018	132	14	ad	ad	NOUN
ajst-8018	132	15	patients	patient	NOUN
ajst-8018	132	16	and	and	CCONJ
ajst-8018	132	17	healthy	healthy	ADJ
ajst-8018	132	18	controls	control	NOUN
ajst-8018	132	19	.	.	PUNCT
ajst-8018	133	1	ma	ma	PROPN
ajst-8018	133	2	et	et	PROPN
ajst-8018	133	3	al	al	PROPN
ajst-8018	133	4	.	.	PUNCT
ajst-8018	134	1	[	[	X
ajst-8018	134	2	45	45	NUM
ajst-8018	134	3	]	]	PUNCT
ajst-8018	134	4	suggested	suggest	VERB
ajst-8018	134	5	a	a	DET
ajst-8018	134	6	dual	dual	ADJ
ajst-8018	134	7	discriminator	discriminator	NOUN
ajst-8018	134	8	-	-	PUNCT
ajst-8018	134	9	based	base	VERB
ajst-8018	134	10	adversarial	adversarial	ADJ
ajst-8018	134	11	generative	generative	ADJ
ajst-8018	134	12	network	network	NOUN
ajst-8018	134	13	(	(	PUNCT
ajst-8018	134	14	ddcgan	ddcgan	ADJ
ajst-8018	134	15	)	)	PUNCT
ajst-8018	134	16	method	method	NOUN
ajst-8018	134	17	for	for	ADP
ajst-8018	134	18	combining	combine	VERB
ajst-8018	134	19	high	high	ADJ
ajst-8018	134	20	-	-	PUNCT
ajst-8018	134	21	resolution	resolution	NOUN
ajst-8018	134	22	mri	mri	NOUN
ajst-8018	134	23	and	and	CCONJ
ajst-8018	134	24	pet	pet	NOUN
ajst-8018	134	25	scans	scan	NOUN
ajst-8018	134	26	with	with	ADP
ajst-8018	134	27	low	low	ADJ
ajst-8018	134	28	-	-	PUNCT
ajst-8018	134	29	resolution	resolution	NOUN
ajst-8018	134	30	positron	positron	NOUN
ajst-8018	134	31	emission	emission	NOUN
ajst-8018	134	32	tomography	tomography	NOUN
ajst-8018	134	33	images	image	NOUN
ajst-8018	134	34	of	of	ADP
ajst-8018	134	35	the	the	DET
ajst-8018	134	36	brain	brain	NOUN
ajst-8018	134	37	.	.	PUNCT
ajst-8018	135	1	on	on	ADP
ajst-8018	135	2	publicly	publicly	ADV
ajst-8018	135	3	accessible	accessible	ADJ
ajst-8018	135	4	datasets	dataset	NOUN
ajst-8018	135	5	,	,	PUNCT
ajst-8018	135	6	qualitative	qualitative	ADJ
ajst-8018	135	7	and	and	CCONJ
ajst-8018	135	8	quantitative	quantitative	ADJ
ajst-8018	135	9	tests	test	NOUN
ajst-8018	135	10	showed	show	VERB
ajst-8018	135	11	that	that	SCONJ
ajst-8018	135	12	ddcgan	ddcgan	PROPN
ajst-8018	135	13	was	be	AUX
ajst-8018	135	14	visibly	visibly	ADV
ajst-8018	135	15	the	the	DET
ajst-8018	135	16	qualitative	qualitative	ADJ
ajst-8018	135	17	and	and	CCONJ
ajst-8018	135	18	quantitative	quantitative	ADJ
ajst-8018	135	19	tests	test	NOUN
ajst-8018	135	20	using	use	VERB
ajst-8018	135	21	publicly	publicly	ADV
ajst-8018	135	22	available	available	ADJ
ajst-8018	135	23	datasets	dataset	NOUN
ajst-8018	135	24	show	show	VERB
ajst-8018	135	25	that	that	SCONJ
ajst-8018	135	26	ddcgan	ddcgan	VERB
ajst-8018	135	27	outperforms	outperform	NOUN
ajst-8018	135	28	fusiongan	fusiongan	VERB
ajst-8018	135	29	in	in	ADP
ajst-8018	135	30	terms	term	NOUN
ajst-8018	135	31	of	of	ADP
ajst-8018	135	32	visualization	visualization	NOUN
ajst-8018	135	33	and	and	CCONJ
ajst-8018	135	34	quantitative	quantitative	ADJ
ajst-8018	135	35	measures	measure	NOUN
ajst-8018	135	36	,	,	PUNCT
ajst-8018	135	37	and	and	CCONJ
ajst-8018	135	38	the	the	DET
ajst-8018	135	39	fused	fuse	VERB
ajst-8018	135	40	pictures	picture	NOUN
ajst-8018	135	41	can	can	AUX
ajst-8018	135	42	be	be	AUX
ajst-8018	135	43	identified	identify	VERB
ajst-8018	135	44	in	in	ADP
ajst-8018	135	45	the	the	DET
ajst-8018	135	46	brain	brain	NOUN
ajst-8018	135	47	with	with	ADP
ajst-8018	135	48	reasonable	reasonable	ADJ
ajst-8018	135	49	accuracy	accuracy	NOUN
ajst-8018	135	50	.	.	PUNCT
ajst-8018	136	1	to	to	PART
ajst-8018	136	2	combine	combine	VERB
ajst-8018	136	3	brain	brain	NOUN
ajst-8018	136	4	mri	mri	NOUN
ajst-8018	136	5	and	and	CCONJ
ajst-8018	136	6	pet	pet	NOUN
ajst-8018	136	7	images	image	NOUN
ajst-8018	136	8	,	,	PUNCT
ajst-8018	136	9	zhang	zhang	PROPN
ajst-8018	136	10	et	et	PROPN
ajst-8018	136	11	al	al	PROPN
ajst-8018	136	12	.	.	PUNCT
ajst-8018	137	1	[	[	X
ajst-8018	137	2	46	46	NUM
ajst-8018	137	3	]	]	PUNCT
ajst-8018	137	4	suggested	suggest	VERB
ajst-8018	137	5	an	an	DET
ajst-8018	137	6	end	end	NOUN
ajst-8018	137	7	-	-	PUNCT
ajst-8018	137	8	to	to	ADP
ajst-8018	137	9	-	-	PUNCT
ajst-8018	137	10	end	end	NOUN
ajst-8018	137	11	multimodal	multimodal	ADJ
ajst-8018	137	12	brain	brain	NOUN
ajst-8018	137	13	image	image	NOUN
ajst-8018	137	14	fusion	fusion	NOUN
ajst-8018	137	15	architecture	architecture	NOUN
ajst-8018	137	16	.	.	PUNCT
ajst-8018	138	1	to	to	PART
ajst-8018	138	2	begin	begin	VERB
ajst-8018	138	3	with	with	ADP
ajst-8018	138	4	,	,	PUNCT
ajst-8018	138	5	an	an	DET
ajst-8018	138	6	auto	auto	NOUN
ajst-8018	138	7	-	-	PUNCT
ajst-8018	138	8	encoder	encoder	NOUN
ajst-8018	138	9	was	be	AUX
ajst-8018	138	10	used	use	VERB
ajst-8018	138	11	to	to	PART
ajst-8018	138	12	extract	extract	VERB
ajst-8018	138	13	the	the	DET
ajst-8018	138	14	source	source	NOUN
ajst-8018	138	15	pictures	picture	NOUN
ajst-8018	138	16	'	'	PART
ajst-8018	138	17	characteristics	characteristic	NOUN
ajst-8018	138	18	.	.	PUNCT
ajst-8018	139	1	then	then	ADV
ajst-8018	139	2	it	it	PRON
ajst-8018	139	3	is	be	AUX
ajst-8018	139	4	suggested	suggest	VERB
ajst-8018	139	5	to	to	PART
ajst-8018	139	6	combine	combine	VERB
ajst-8018	139	7	the	the	DET
ajst-8018	139	8	image	image	NOUN
ajst-8018	139	9	features	feature	VERB
ajst-8018	139	10	using	use	VERB
ajst-8018	139	11	an	an	DET
ajst-8018	139	12	information	information	NOUN
ajst-8018	139	13	preservation	preservation	NOUN
ajst-8018	139	14	weighted	weight	VERB
ajst-8018	139	15	channel	channel	NOUN
ajst-8018	139	16	space	space	NOUN
ajst-8018	139	17	attention	attention	NOUN
ajst-8018	139	18	model	model	NOUN
ajst-8018	139	19	(	(	PUNCT
ajst-8018	139	20	ics	ics	PROPN
ajst-8018	139	21	)	)	PUNCT
ajst-8018	139	22	,	,	PUNCT
ajst-8018	139	23	establishing	establish	VERB
ajst-8018	139	24	an	an	DET
ajst-8018	139	25	adaptive	adaptive	ADJ
ajst-8018	139	26	weight	weight	NOUN
ajst-8018	139	27	based	base	VERB
ajst-8018	139	28	on	on	ADP
ajst-8018	139	29	the	the	DET
ajst-8018	139	30	information	information	NOUN
ajst-8018	139	31	preservation	preservation	NOUN
ajst-8018	139	32	degree	degree	NOUN
ajst-8018	139	33	of	of	ADP
ajst-8018	139	34	the	the	DET
ajst-8018	139	35	features	feature	NOUN
ajst-8018	139	36	.	.	PUNCT
ajst-8018	140	1	the	the	DET
ajst-8018	140	2	fused	fuse	VERB
ajst-8018	140	3	medical	medical	ADJ
ajst-8018	140	4	pictures	picture	NOUN
ajst-8018	140	5	are	be	AUX
ajst-8018	140	6	finally	finally	ADV
ajst-8018	140	7	rebuilt	rebuild	VERB
ajst-8018	140	8	using	use	VERB
ajst-8018	140	9	the	the	DET
ajst-8018	140	10	decoder	decoder	NOUN
ajst-8018	140	11	model	model	NOUN
ajst-8018	140	12	.	.	PUNCT
ajst-8018	141	1	by	by	ADP
ajst-8018	141	2	using	use	VERB
ajst-8018	141	3	an	an	DET
ajst-8018	141	4	improved	improved	ADJ
ajst-8018	141	5	attention	attention	NOUN
ajst-8018	141	6	model	model	NOUN
ajst-8018	141	7	and	and	CCONJ
ajst-8018	141	8	encoder	encoder	NOUN
ajst-8018	141	9	-	-	PUNCT
ajst-8018	141	10	decoder	decoder	NOUN
ajst-8018	141	11	structure	structure	NOUN
ajst-8018	141	12	,	,	PUNCT
ajst-8018	141	13	the	the	DET
ajst-8018	141	14	method	method	NOUN
ajst-8018	141	15	efficiently	efficiently	ADV
ajst-8018	141	16	increases	increase	VERB
ajst-8018	141	17	the	the	DET
ajst-8018	141	18	quality	quality	NOUN
ajst-8018	141	19	and	and	CCONJ
ajst-8018	141	20	decreases	decrease	VERB
ajst-8018	141	21	the	the	DET
ajst-8018	141	22	fusion	fusion	NOUN
ajst-8018	141	23	time	time	NOUN
ajst-8018	141	24	of	of	ADP
ajst-8018	141	25	the	the	DET
ajst-8018	141	26	fused	fuse	VERB
ajst-8018	141	27	images	image	NOUN
ajst-8018	141	28	.	.	PUNCT
ajst-8018	142	1	the	the	DET
ajst-8018	142	2	fused	fuse	VERB
ajst-8018	142	3	images	image	NOUN
ajst-8018	142	4	also	also	ADV
ajst-8018	142	5	contain	contain	VERB
ajst-8018	142	6	functional	functional	ADJ
ajst-8018	142	7	and	and	CCONJ
ajst-8018	142	8	structural	structural	ADJ
ajst-8018	142	9	information	information	NOUN
ajst-8018	142	10	about	about	ADP
ajst-8018	142	11	the	the	DET
ajst-8018	142	12	brain	brain	NOUN
ajst-8018	142	13	that	that	PRON
ajst-8018	142	14	can	can	AUX
ajst-8018	142	15	be	be	AUX
ajst-8018	142	16	used	use	VERB
ajst-8018	142	17	to	to	PART
ajst-8018	142	18	diagnose	diagnose	VERB
ajst-8018	142	19	brain	brain	NOUN
ajst-8018	142	20	diseases	disease	NOUN
ajst-8018	142	21	more	more	ADV
ajst-8018	142	22	effectively	effectively	ADV
ajst-8018	142	23	and	and	CCONJ
ajst-8018	142	24	accurately	accurately	ADV
ajst-8018	142	25	.	.	PUNCT
ajst-8018	143	1	abirami	abirami	PROPN
ajst-8018	143	2	et	et	PROPN
ajst-8018	143	3	al	al	PROPN
ajst-8018	143	4	.	.	PUNCT
ajst-8018	144	1	[	[	X
ajst-8018	144	2	47	47	NUM
ajst-8018	144	3	]	]	PUNCT
ajst-8018	144	4	proposed	propose	VERB
ajst-8018	144	5	a	a	DET
ajst-8018	144	6	gan	gan	NOUN
ajst-8018	144	7	-	-	PUNCT
ajst-8018	144	8	based	base	VERB
ajst-8018	144	9	fusion	fusion	NOUN
ajst-8018	144	10	of	of	ADP
ajst-8018	144	11	positron	positron	NOUN
ajst-8018	144	12	emission	emission	NOUN
ajst-8018	144	13	computed	compute	VERB
ajst-8018	144	14	tomography	tomography	NOUN
ajst-8018	144	15	(	(	PUNCT
ajst-8018	144	16	pet	pet	NOUN
ajst-8018	144	17	)	)	PUNCT
ajst-8018	144	18	and	and	CCONJ
ajst-8018	144	19	magnetic	magnetic	ADJ
ajst-8018	144	20	resonance	resonance	NOUN
ajst-8018	144	21	imaging	imaging	NOUN
ajst-8018	144	22	(	(	PUNCT
ajst-8018	144	23	mri	mri	NOUN
ajst-8018	144	24	)	)	PUNCT
ajst-8018	144	25	images	image	NOUN
ajst-8018	144	26	,	,	PUNCT
ajst-8018	144	27	and	and	CCONJ
ajst-8018	144	28	the	the	DET
ajst-8018	144	29	fused	fuse	VERB
ajst-8018	144	30	images	image	NOUN
ajst-8018	144	31	were	be	AUX
ajst-8018	144	32	able	able	ADJ
ajst-8018	144	33	to	to	PART
ajst-8018	144	34	segment	segment	VERB
ajst-8018	144	35	brain	brain	NOUN
ajst-8018	144	36	tumors	tumor	NOUN
ajst-8018	144	37	accurately	accurately	ADV
ajst-8018	144	38	.	.	PUNCT
ajst-8018	145	1	additionally	additionally	ADV
ajst-8018	145	2	,	,	PUNCT
ajst-8018	145	3	tumor	tumor	NOUN
ajst-8018	145	4	areas	area	NOUN
ajst-8018	145	5	could	could	AUX
ajst-8018	145	6	be	be	AUX
ajst-8018	145	7	accurately	accurately	ADV
ajst-8018	145	8	localized	localize	VERB
ajst-8018	145	9	in	in	ADP
ajst-8018	145	10	a	a	DET
ajst-8018	145	11	single	single	ADJ
ajst-8018	145	12	fused	fuse	VERB
ajst-8018	145	13	image	image	NOUN
ajst-8018	145	14	using	use	VERB
ajst-8018	145	15	information	information	NOUN
ajst-8018	145	16	obtained	obtain	VERB
ajst-8018	145	17	from	from	ADP
ajst-8018	145	18	pet	pet	ADJ
ajst-8018	145	19	and	and	CCONJ
ajst-8018	145	20	mri	mri	NOUN
ajst-8018	145	21	images	image	NOUN
ajst-8018	145	22	,	,	PUNCT
ajst-8018	145	23	and	and	CCONJ
ajst-8018	145	24	this	this	DET
ajst-8018	145	25	method	method	NOUN
ajst-8018	145	26	improved	improve	VERB
ajst-8018	145	27	the	the	DET
ajst-8018	145	28	accuracy	accuracy	NOUN
ajst-8018	145	29	of	of	ADP
ajst-8018	145	30	diagnosing	diagnose	VERB
ajst-8018	145	31	tumors	tumor	NOUN
ajst-8018	145	32	.	.	PUNCT
ajst-8018	146	1	this	this	DET
ajst-8018	146	2	method	method	NOUN
ajst-8018	146	3	shortens	shorten	VERB
ajst-8018	146	4	the	the	DET
ajst-8018	146	5	time	time	NOUN
ajst-8018	146	6	needed	need	VERB
ajst-8018	146	7	to	to	PART
ajst-8018	146	8	identify	identify	VERB
ajst-8018	146	9	and	and	CCONJ
ajst-8018	146	10	locate	locate	ADJ
ajst-8018	146	11	tumors	tumor	NOUN
ajst-8018	146	12	while	while	SCONJ
ajst-8018	146	13	increasing	increase	VERB
ajst-8018	146	14	the	the	DET
ajst-8018	146	15	accuracy	accuracy	NOUN
ajst-8018	146	16	of	of	ADP
ajst-8018	146	17	tumor	tumor	NOUN
ajst-8018	146	18	diagnosis	diagnosis	NOUN
ajst-8018	146	19	.	.	PUNCT
ajst-8018	147	1	the	the	DET
ajst-8018	147	2	structural	structural	ADJ
ajst-8018	147	3	similarity	similarity	NOUN
ajst-8018	147	4	index	index	NOUN
ajst-8018	147	5	and	and	CCONJ
ajst-8018	147	6	mutual	mutual	ADJ
ajst-8018	147	7	information	information	NOUN
ajst-8018	147	8	are	be	AUX
ajst-8018	147	9	two	two	NUM
ajst-8018	147	10	measures	measure	NOUN
ajst-8018	147	11	used	use	VERB
ajst-8018	147	12	to	to	PART
ajst-8018	147	13	assess	assess	VERB
ajst-8018	147	14	the	the	DET
ajst-8018	147	15	effectiveness	effectiveness	NOUN
ajst-8018	147	16	of	of	ADP
ajst-8018	147	17	the	the	DET
ajst-8018	147	18	gan	gan	PROPN
ajst-8018	147	19	-	-	PUNCT
ajst-8018	147	20	based	base	VERB
ajst-8018	147	21	model	model	NOUN
ajst-8018	147	22	.	.	PUNCT
ajst-8018	148	1	the	the	DET
ajst-8018	148	2	approach	approach	NOUN
ajst-8018	148	3	produced	produce	VERB
ajst-8018	148	4	mutual	mutual	ADJ
ajst-8018	148	5	information	information	NOUN
ajst-8018	148	6	of	of	ADP
ajst-8018	148	7	2.8059	2.8059	NUM
ajst-8018	148	8	and	and	CCONJ
ajst-8018	148	9	a	a	DET
ajst-8018	148	10	structural	structural	ADJ
ajst-8018	148	11	similarity	similarity	NOUN
ajst-8018	148	12	index	index	NOUN
ajst-8018	148	13	of	of	ADP
ajst-8018	148	14	0.8551	0.8551	NUM
ajst-8018	148	15	.	.	PUNCT
ajst-8018	149	1	to	to	PART
ajst-8018	149	2	extract	extract	VERB
ajst-8018	149	3	highlevel	highlevel	ADJ
ajst-8018	149	4	features	feature	NOUN
ajst-8018	149	5	and	and	CCONJ
ajst-8018	149	6	fuse	fuse	NOUN
ajst-8018	149	7	mri	mri	NOUN
ajst-8018	149	8	and	and	CCONJ
ajst-8018	149	9	ct	ct	NUM
ajst-8018	149	10	images	image	NOUN
ajst-8018	149	11	,	,	PUNCT
ajst-8018	149	12	reddy	reddy	PROPN
ajst-8018	149	13	et	et	PROPN
ajst-8018	149	14	al	al	PROPN
ajst-8018	149	15	.	.	PUNCT
ajst-8018	150	1	[	[	X
ajst-8018	150	2	48	48	NUM
ajst-8018	150	3	]	]	PUNCT
ajst-8018	150	4	developed	develop	VERB
ajst-8018	150	5	a	a	DET
ajst-8018	150	6	fusion	fusion	NOUN
ajst-8018	150	7	method	method	NOUN
ajst-8018	150	8	utilizing	utilize	VERB
ajst-8018	150	9	a	a	DET
ajst-8018	150	10	convolutional	convolutional	ADJ
ajst-8018	150	11	neural	neural	ADJ
ajst-8018	150	12	network	network	NOUN
ajst-8018	150	13	(	(	PUNCT
ajst-8018	150	14	cnn	cnn	PROPN
ajst-8018	150	15	)	)	PUNCT
ajst-8018	150	16	with	with	ADP
ajst-8018	150	17	a	a	DET
ajst-8018	150	18	pyramidal	pyramidal	ADJ
ajst-8018	150	19	generating	generate	VERB
ajst-8018	150	20	kernel	kernel	NOUN
ajst-8018	150	21	.	.	PUNCT
ajst-8018	151	1	with	with	ADP
ajst-8018	151	2	the	the	DET
ajst-8018	151	3	addition	addition	NOUN
ajst-8018	151	4	of	of	ADP
ajst-8018	151	5	non	non	ADJ
ajst-8018	151	6	-	-	ADJ
ajst-8018	151	7	local	local	ADJ
ajst-8018	151	8	euclidean	euclidean	ADJ
ajst-8018	151	9	median	median	NOUN
ajst-8018	151	10	filtering	filter	VERB
ajst-8018	151	11	adaptive	adaptive	ADJ
ajst-8018	151	12	angular	angular	ADJ
ajst-8018	151	13	covariance	covariance	NOUN
ajst-8018	151	14	,	,	PUNCT
ajst-8018	151	15	fcm	fcm	AUX
ajst-8018	151	16	clustering	cluster	VERB
ajst-8018	151	17	based	base	VERB
ajst-8018	151	18	on	on	ADP
ajst-8018	151	19	gaussian	gaussian	ADJ
ajst-8018	151	20	kernel	kernel	NOUN
ajst-8018	151	21	,	,	PUNCT
ajst-8018	151	22	and	and	CCONJ
ajst-8018	151	23	segmenting	segment	VERB
ajst-8018	151	24	brain	brain	NOUN
ajst-8018	151	25	tumors	tumor	NOUN
ajst-8018	151	26	from	from	ADP
ajst-8018	151	27	fused	fuse	VERB
ajst-8018	151	28	pictures	picture	NOUN
ajst-8018	151	29	,	,	PUNCT
ajst-8018	151	30	the	the	DET
ajst-8018	151	31	tumor	tumor	NOUN
ajst-8018	151	32	segmentation	segmentation	NOUN
ajst-8018	151	33	method	method	NOUN
ajst-8018	151	34	for	for	ADP
ajst-8018	151	35	cancer	cancer	NOUN
ajst-8018	151	36	analysis	analysis	NOUN
ajst-8018	151	37	and	and	CCONJ
ajst-8018	151	38	detection	detection	NOUN
ajst-8018	151	39	has	have	AUX
ajst-8018	151	40	become	become	VERB
ajst-8018	151	41	extremely	extremely	ADV
ajst-8018	151	42	accurate	accurate	ADJ
ajst-8018	151	43	and	and	CCONJ
ajst-8018	151	44	effective	effective	ADJ
ajst-8018	151	45	.	.	PUNCT
ajst-8018	152	1	3.2	3.2	NUM
ajst-8018	152	2	.	.	PUNCT
ajst-8018	152	3	diagnosis	diagnosis	NOUN
ajst-8018	152	4	of	of	ADP
ajst-8018	152	5	liver	liver	NOUN
ajst-8018	152	6	and	and	CCONJ
ajst-8018	152	7	lung	lung	NOUN
ajst-8018	152	8	diseases	disease	NOUN
ajst-8018	152	9	liver	liver	NOUN
ajst-8018	152	10	diseases	disease	NOUN
ajst-8018	152	11	such	such	ADJ
ajst-8018	152	12	as	as	ADP
ajst-8018	152	13	tumors	tumor	NOUN
ajst-8018	152	14	not	not	PART
ajst-8018	152	15	only	only	ADV
ajst-8018	152	16	cause	cause	VERB
ajst-8018	152	17	changes	change	NOUN
ajst-8018	152	18	in	in	ADP
ajst-8018	152	19	the	the	DET
ajst-8018	152	20	physical	physical	ADJ
ajst-8018	152	21	morphology	morphology	NOUN
ajst-8018	152	22	of	of	ADP
ajst-8018	152	23	tissues	tissue	NOUN
ajst-8018	152	24	,	,	PUNCT
ajst-8018	152	25	but	but	CCONJ
ajst-8018	152	26	also	also	ADV
ajst-8018	152	27	increase	increase	VERB
ajst-8018	152	28	the	the	DET
ajst-8018	152	29	intensity	intensity	NOUN
ajst-8018	152	30	of	of	ADP
ajst-8018	152	31	local	local	ADJ
ajst-8018	152	32	metabolism	metabolism	NOUN
ajst-8018	152	33	,	,	PUNCT
ajst-8018	152	34	and	and	CCONJ
ajst-8018	152	35	the	the	DET
ajst-8018	152	36	combination	combination	NOUN
ajst-8018	152	37	of	of	ADP
ajst-8018	152	38	functional	functional	ADJ
ajst-8018	152	39	and	and	CCONJ
ajst-8018	152	40	structural	structural	ADJ
ajst-8018	152	41	medical	medical	ADJ
ajst-8018	152	42	images	image	NOUN
ajst-8018	152	43	can	can	AUX
ajst-8018	152	44	improve	improve	VERB
ajst-8018	152	45	the	the	DET
ajst-8018	152	46	diagnostic	diagnostic	ADJ
ajst-8018	152	47	accuracy	accuracy	NOUN
ajst-8018	152	48	of	of	ADP
ajst-8018	152	49	these	these	DET
ajst-8018	152	50	diseases	disease	NOUN
ajst-8018	152	51	.	.	PUNCT
ajst-8018	153	1	li	li	PROPN
ajst-8018	153	2	et	et	PROPN
ajst-8018	153	3	al	al	PROPN
ajst-8018	154	1	[	[	X
ajst-8018	154	2	49	49	NUM
ajst-8018	154	3	]	]	PUNCT
ajst-8018	154	4	proposed	propose	VERB
ajst-8018	154	5	an	an	DET
ajst-8018	154	6	attentionguided	attentionguide	VERB
ajst-8018	154	7	discriminative	discriminative	NOUN
ajst-8018	154	8	and	and	CCONJ
ajst-8018	154	9	adaptive	adaptive	ADJ
ajst-8018	154	10	fusion	fusion	NOUN
ajst-8018	154	11	approach	approach	NOUN
ajst-8018	154	12	based	base	VERB
ajst-8018	154	13	on	on	ADP
ajst-8018	154	14	a	a	DET
ajst-8018	154	15	deep	deep	ADJ
ajst-8018	154	16	learning	learning	NOUN
ajst-8018	154	17	architecture	architecture	NOUN
ajst-8018	154	18	to	to	PART
ajst-8018	154	19	address	address	VERB
ajst-8018	154	20	the	the	DET
ajst-8018	154	21	difficulty	difficulty	NOUN
ajst-8018	154	22	of	of	ADP
ajst-8018	154	23	better	well	ADJ
ajst-8018	154	24	multimodal	multimodal	ADJ
ajst-8018	154	25	medical	medical	ADJ
ajst-8018	154	26	feature	feature	NOUN
ajst-8018	154	27	fusion	fusion	NOUN
ajst-8018	154	28	between	between	ADP
ajst-8018	154	29	larger	large	ADJ
ajst-8018	154	30	modalities	modality	NOUN
ajst-8018	154	31	through	through	ADP
ajst-8018	154	32	complementary	complementary	ADJ
ajst-8018	154	33	information	information	NOUN
ajst-8018	154	34	representation	representation	NOUN
ajst-8018	154	35	problem	problem	NOUN
ajst-8018	154	36	by	by	ADP
ajst-8018	154	37	introducing	introduce	VERB
ajst-8018	154	38	discriminative	discriminative	NOUN
ajst-8018	154	39	feature	feature	NOUN
ajst-8018	154	40	learning	learn	VERB
ajst-8018	154	41	loss	loss	NOUN
ajst-8018	154	42	to	to	PART
ajst-8018	154	43	reduce	reduce	VERB
ajst-8018	154	44	the	the	DET
ajst-8018	154	45	distance	distance	NOUN
ajst-8018	154	46	of	of	ADP
ajst-8018	154	47	features	feature	NOUN
ajst-8018	154	48	of	of	ADP
ajst-8018	154	49	the	the	DET
ajst-8018	154	50	same	same	ADJ
ajst-8018	154	51	class	class	NOUN
ajst-8018	154	52	and	and	CCONJ
ajst-8018	154	53	increase	increase	VERB
ajst-8018	154	54	the	the	DET
ajst-8018	154	55	distance	distance	NOUN
ajst-8018	154	56	of	of	ADP
ajst-8018	154	57	features	feature	NOUN
ajst-8018	154	58	of	of	ADP
ajst-8018	154	59	different	different	ADJ
ajst-8018	154	60	classes	class	NOUN
ajst-8018	154	61	of	of	ADP
ajst-8018	154	62	tumors	tumor	NOUN
ajst-8018	154	63	in	in	ADP
ajst-8018	154	64	a	a	DET
ajst-8018	154	65	single	single	ADJ
ajst-8018	154	66	modality	modality	NOUN
ajst-8018	154	67	.	.	PUNCT
ajst-8018	155	1	finally	finally	ADV
ajst-8018	155	2	,	,	PUNCT
ajst-8018	155	3	an	an	DET
ajst-8018	155	4	adaptive	adaptive	ADJ
ajst-8018	155	5	weighting	weighting	NOUN
ajst-8018	155	6	strategy	strategy	NOUN
ajst-8018	155	7	is	be	AUX
ajst-8018	155	8	designed	design	VERB
ajst-8018	155	9	to	to	PART
ajst-8018	155	10	increase	increase	VERB
ajst-8018	155	11	the	the	DET
ajst-8018	155	12	contribution	contribution	NOUN
ajst-8018	155	13	of	of	ADP
ajst-8018	155	14	modalities	modality	NOUN
ajst-8018	155	15	with	with	ADP
ajst-8018	155	16	relatively	relatively	ADV
ajst-8018	155	17	low	low	ADJ
ajst-8018	155	18	loss	loss	NOUN
ajst-8018	155	19	values	value	NOUN
ajst-8018	155	20	and	and	CCONJ
ajst-8018	155	21	reduce	reduce	VERB
ajst-8018	155	22	the	the	DET
ajst-8018	155	23	influence	influence	NOUN
ajst-8018	155	24	of	of	ADP
ajst-8018	155	25	modalities	modality	NOUN
ajst-8018	155	26	with	with	ADP
ajst-8018	155	27	larger	large	ADJ
ajst-8018	155	28	loss	loss	NOUN
ajst-8018	155	29	values	value	NOUN
ajst-8018	155	30	on	on	ADP
ajst-8018	155	31	the	the	DET
ajst-8018	155	32	final	final	ADJ
ajst-8018	155	33	loss	loss	NOUN
ajst-8018	155	34	function	function	NOUN
ajst-8018	155	35	,	,	PUNCT
ajst-8018	155	36	and	and	CCONJ
ajst-8018	155	37	the	the	DET
ajst-8018	155	38	results	result	NOUN
ajst-8018	155	39	show	show	VERB
ajst-8018	155	40	that	that	SCONJ
ajst-8018	155	41	the	the	DET
ajst-8018	155	42	proposed	propose	VERB
ajst-8018	155	43	method	method	NOUN
ajst-8018	155	44	can	can	AUX
ajst-8018	155	45	effectively	effectively	ADV
ajst-8018	155	46	classify	classify	VERB
ajst-8018	155	47	clinical	clinical	ADJ
ajst-8018	155	48	hepatocellular	hepatocellular	ADJ
ajst-8018	155	49	carcinoma	carcinoma	NOUN
ajst-8018	155	50	.	.	PUNCT
ajst-8018	156	1	fu	fu	NOUN
ajst-8018	156	2	et	et	PROPN
ajst-8018	156	3	al	al	PROPN
ajst-8018	157	1	[	[	X
ajst-8018	157	2	50	50	NUM
ajst-8018	157	3	]	]	PUNCT
ajst-8018	157	4	proposed	propose	VERB
ajst-8018	157	5	a	a	DET
ajst-8018	157	6	lung	lung	NOUN
ajst-8018	157	7	information	information	NOUN
ajst-8018	157	8	fusion	fusion	NOUN
ajst-8018	157	9	model	model	NOUN
ajst-8018	157	10	based	base	VERB
ajst-8018	157	11	on	on	ADP
ajst-8018	157	12	3d	3d	NUM
ajst-8018	157	13	ct	ct	NOUN
ajst-8018	157	14	images	image	NOUN
ajst-8018	157	15	and	and	CCONJ
ajst-8018	157	16	serum	serum	NOUN
ajst-8018	157	17	biomarkers	biomarker	NOUN
ajst-8018	157	18	for	for	ADP
ajst-8018	157	19	diagnosing	diagnose	VERB
ajst-8018	157	20	squamous	squamous	ADJ
ajst-8018	157	21	cell	cell	NOUN
ajst-8018	157	22	carcinoma	carcinoma	NOUN
ajst-8018	157	23	,	,	PUNCT
ajst-8018	157	24	adenocarcinoma	adenocarcinoma	NOUN
ajst-8018	157	25	,	,	PUNCT
ajst-8018	157	26	inflammation	inflammation	NOUN
ajst-8018	157	27	,	,	PUNCT
ajst-8018	157	28	and	and	CCONJ
ajst-8018	157	29	other	other	ADJ
ajst-8018	157	30	benign	benign	ADJ
ajst-8018	157	31	lung	lung	NOUN
ajst-8018	157	32	nodule	nodule	NOUN
ajst-8018	157	33	types	type	NOUN
ajst-8018	157	34	.	.	PUNCT
ajst-8018	158	1	by	by	ADP
ajst-8018	158	2	constructing	construct	VERB
ajst-8018	158	3	a	a	DET
ajst-8018	158	4	resolution	resolution	NOUN
ajst-8018	158	5	3d	3d	NUM
ajst-8018	158	6	multi	multi	ADJ
ajst-8018	158	7	-	-	ADJ
ajst-8018	158	8	classification	classification	ADJ
ajst-8018	158	9	deep	deep	ADJ
ajst-8018	158	10	learning	learning	NOUN
ajst-8018	158	11	model	model	NOUN
ajst-8018	158	12	(	(	PUNCT
ajst-8018	158	13	mrmc	mrmc	NOUN
ajst-8018	158	14	)	)	PUNCT
ajst-8018	158	15	and	and	CCONJ
ajst-8018	158	16	a	a	DET
ajst-8018	158	17	multilayer	multilayer	ADJ
ajst-8018	158	18	perceptron	perceptron	PROPN
ajst-8018	158	19	machine	machine	NOUN
ajst-8018	158	20	learning	learning	PROPN
ajst-8018	158	21	model	model	NOUN
ajst-8018	158	22	(	(	PUNCT
ajst-8018	158	23	mlp	mlp	NOUN
ajst-8018	158	24	)	)	PUNCT
ajst-8018	158	25	for	for	ADP
ajst-8018	158	26	diagnosing	diagnose	VERB
ajst-8018	158	27	multiple	multiple	ADJ
ajst-8018	158	28	pathological	pathological	ADJ
ajst-8018	158	29	types	type	NOUN
ajst-8018	158	30	of	of	ADP
ajst-8018	158	31	lung	lung	NOUN
ajst-8018	158	32	nodules	nodule	NOUN
ajst-8018	158	33	,	,	PUNCT
ajst-8018	158	34	and	and	CCONJ
ajst-8018	158	35	also	also	ADV
ajst-8018	158	36	fusing	fuse	VERB
ajst-8018	158	37	mr	mr	PROPN
ajst-8018	158	38	-	-	PUNCT
ajst-8018	158	39	mc	mc	PROPN
ajst-8018	158	40	and	and	CCONJ
ajst-8018	158	41	mlp	mlp	PROPN
ajst-8018	158	42	using	use	VERB
ajst-8018	158	43	transfer	transfer	NOUN
ajst-8018	158	44	learning	learning	NOUN
ajst-8018	158	45	,	,	PUNCT
ajst-8018	158	46	a	a	DET
ajst-8018	158	47	multimodal	multimodal	ADJ
ajst-8018	158	48	information	information	NOUN
ajst-8018	158	49	fusion	fusion	NOUN
ajst-8018	158	50	model	model	NOUN
ajst-8018	158	51	is	be	AUX
ajst-8018	158	52	constructed	construct	VERB
ajst-8018	158	53	that	that	PRON
ajst-8018	158	54	can	can	AUX
ajst-8018	158	55	classify	classify	VERB
ajst-8018	158	56	multiple	multiple	ADJ
ajst-8018	158	57	pathological	pathological	ADJ
ajst-8018	158	58	types	type	NOUN
ajst-8018	158	59	of	of	ADP
ajst-8018	158	60	lung	lung	NOUN
ajst-8018	158	61	nodules	nodule	NOUN
ajst-8018	158	62	.	.	PUNCT
ajst-8018	159	1	the	the	DET
ajst-8018	159	2	results	result	NOUN
ajst-8018	159	3	showed	show	VERB
ajst-8018	159	4	that	that	SCONJ
ajst-8018	159	5	the	the	DET
ajst-8018	159	6	average	average	ADJ
ajst-8018	159	7	accuracy	accuracy	NOUN
ajst-8018	159	8	of	of	ADP
ajst-8018	159	9	the	the	DET
ajst-8018	159	10	constructed	construct	VERB
ajst-8018	159	11	mr	mr	PROPN
ajst-8018	159	12	-	-	PUNCT
ajst-8018	159	13	mc	mc	PROPN
ajst-8018	159	14	model	model	NOUN
ajst-8018	159	15	can	can	AUX
ajst-8018	159	16	reach	reach	VERB
ajst-8018	159	17	0.805	0.805	NUM
ajst-8018	159	18	and	and	CCONJ
ajst-8018	159	19	the	the	DET
ajst-8018	159	20	average	average	ADJ
ajst-8018	159	21	accuracy	accuracy	NOUN
ajst-8018	159	22	of	of	ADP
ajst-8018	159	23	the	the	DET
ajst-8018	159	24	mlp	mlp	NOUN
ajst-8018	159	25	model	model	NOUN
ajst-8018	159	26	can	can	AUX
ajst-8018	159	27	reach	reach	VERB
ajst-8018	159	28	0.887	0.887	NUM
ajst-8018	159	29	.	.	PUNCT
ajst-8018	160	1	the	the	DET
ajst-8018	160	2	fusion	fusion	NOUN
ajst-8018	160	3	model	model	NOUN
ajst-8018	160	4	was	be	AUX
ajst-8018	160	5	validated	validate	VERB
ajst-8018	160	6	on	on	ADP
ajst-8018	160	7	a	a	DET
ajst-8018	160	8	dataset	dataset	NOUN
ajst-8018	160	9	containing	contain	VERB
ajst-8018	160	10	64	64	NUM
ajst-8018	160	11	samples	sample	NOUN
ajst-8018	160	12	with	with	ADP
ajst-8018	160	13	an	an	DET
ajst-8018	160	14	average	average	ADJ
ajst-8018	160	15	accuracy	accuracy	NOUN
ajst-8018	160	16	of	of	ADP
ajst-8018	160	17	0.906	0.906	NUM
ajst-8018	160	18	.	.	PUNCT
ajst-8018	161	1	zhang	zhang	PROPN
ajst-8018	161	2	et	et	PROPN
ajst-8018	161	3	al	al	PROPN
ajst-8018	162	1	[	[	X
ajst-8018	162	2	51	51	NUM
ajst-8018	162	3	]	]	PUNCT
ajst-8018	162	4	proposed	propose	VERB
ajst-8018	162	5	an	an	DET
ajst-8018	162	6	adaptive	adaptive	ADJ
ajst-8018	162	7	dynamic	dynamic	ADJ
ajst-8018	162	8	loss	loss	NOUN
ajst-8018	162	9	function	function	NOUN
ajst-8018	162	10	for	for	ADP
ajst-8018	162	11	multi	multi	ADJ
ajst-8018	162	12	-	-	ADJ
ajst-8018	162	13	scale	scale	ADJ
ajst-8018	162	14	229	229	NUM
ajst-8018	162	15	expansion	expansion	NOUN
ajst-8018	162	16	network	network	NOUN
ajst-8018	162	17	of	of	ADP
ajst-8018	162	18	pathological	pathological	ADJ
ajst-8018	162	19	images	image	NOUN
ajst-8018	162	20	in	in	ADP
ajst-8018	162	21	different	different	ADJ
ajst-8018	162	22	scales	scale	NOUN
ajst-8018	162	23	weighting	weighting	NOUN
ajst-8018	162	24	is	be	AUX
ajst-8018	162	25	performed	perform	VERB
ajst-8018	162	26	,	,	PUNCT
ajst-8018	162	27	and	and	CCONJ
ajst-8018	162	28	an	an	DET
ajst-8018	162	29	ant	ant	ADJ
ajst-8018	162	30	colony	colony	NOUN
ajst-8018	162	31	algorithm	algorithm	NOUN
ajst-8018	162	32	based	base	VERB
ajst-8018	162	33	on	on	ADP
ajst-8018	162	34	maximum	maximum	ADJ
ajst-8018	162	35	information	information	NOUN
ajst-8018	162	36	coefficient	coefficient	NOUN
ajst-8018	162	37	correlation	correlation	NOUN
ajst-8018	162	38	is	be	AUX
ajst-8018	162	39	designed	design	VERB
ajst-8018	162	40	for	for	ADP
ajst-8018	162	41	unsupervised	unsupervised	ADJ
ajst-8018	162	42	feature	feature	NOUN
ajst-8018	162	43	selection	selection	NOUN
ajst-8018	162	44	by	by	ADP
ajst-8018	162	45	fusing	fuse	VERB
ajst-8018	162	46	image	image	NOUN
ajst-8018	162	47	features	feature	NOUN
ajst-8018	162	48	and	and	CCONJ
ajst-8018	162	49	patient	patient	ADJ
ajst-8018	162	50	differential	differential	NOUN
ajst-8018	162	51	genes	gene	NOUN
ajst-8018	162	52	considering	consider	VERB
ajst-8018	162	53	complementary	complementary	ADJ
ajst-8018	162	54	information	information	NOUN
ajst-8018	162	55	between	between	ADP
ajst-8018	162	56	different	different	ADJ
ajst-8018	162	57	medical	medical	ADJ
ajst-8018	162	58	modality	modality	NOUN
ajst-8018	162	59	data	datum	NOUN
ajst-8018	162	60	.	.	PUNCT
ajst-8018	163	1	the	the	DET
ajst-8018	163	2	results	result	NOUN
ajst-8018	163	3	show	show	VERB
ajst-8018	163	4	that	that	SCONJ
ajst-8018	163	5	the	the	DET
ajst-8018	163	6	incorporation	incorporation	NOUN
ajst-8018	163	7	of	of	ADP
ajst-8018	163	8	pathological	pathological	ADJ
ajst-8018	163	9	image	image	NOUN
ajst-8018	163	10	information	information	NOUN
ajst-8018	163	11	and	and	CCONJ
ajst-8018	163	12	genetic	genetic	ADJ
ajst-8018	163	13	information	information	NOUN
ajst-8018	163	14	plays	play	VERB
ajst-8018	163	15	an	an	DET
ajst-8018	163	16	important	important	ADJ
ajst-8018	163	17	role	role	NOUN
ajst-8018	163	18	in	in	ADP
ajst-8018	163	19	the	the	DET
ajst-8018	163	20	classification	classification	NOUN
ajst-8018	163	21	of	of	ADP
ajst-8018	163	22	lung	lung	NOUN
ajst-8018	163	23	cancer	cancer	NOUN
ajst-8018	163	24	subtypes	subtype	NOUN
ajst-8018	163	25	.	.	PUNCT
ajst-8018	164	1	the	the	DET
ajst-8018	164	2	algorithm	algorithm	NOUN
ajst-8018	164	3	can	can	AUX
ajst-8018	164	4	converge	converge	VERB
ajst-8018	164	5	quickly	quickly	ADV
ajst-8018	164	6	compared	compare	VERB
ajst-8018	164	7	with	with	ADP
ajst-8018	164	8	other	other	ADJ
ajst-8018	164	9	feature	feature	NOUN
ajst-8018	164	10	selection	selection	NOUN
ajst-8018	164	11	methods	method	NOUN
ajst-8018	164	12	.	.	PUNCT
ajst-8018	165	1	combining	combine	VERB
ajst-8018	165	2	pathological	pathological	ADJ
ajst-8018	165	3	images	image	NOUN
ajst-8018	165	4	and	and	CCONJ
ajst-8018	165	5	gene	gene	NOUN
ajst-8018	165	6	expression	expression	NOUN
ajst-8018	165	7	matrices	matrix	NOUN
ajst-8018	165	8	for	for	ADP
ajst-8018	165	9	cancer	cancer	NOUN
ajst-8018	165	10	diagnosis	diagnosis	NOUN
ajst-8018	165	11	can	can	AUX
ajst-8018	165	12	improve	improve	VERB
ajst-8018	165	13	the	the	DET
ajst-8018	165	14	diagnostic	diagnostic	ADJ
ajst-8018	165	15	accuracy	accuracy	NOUN
ajst-8018	165	16	of	of	ADP
ajst-8018	165	17	specific	specific	ADJ
ajst-8018	165	18	patients	patient	NOUN
ajst-8018	165	19	with	with	ADP
ajst-8018	165	20	an	an	DET
ajst-8018	165	21	accuracy	accuracy	NOUN
ajst-8018	165	22	rate	rate	NOUN
ajst-8018	165	23	of	of	ADP
ajst-8018	165	24	95.62	95.62	NUM
ajst-8018	165	25	%	%	NOUN
ajst-8018	165	26	.	.	PUNCT
ajst-8018	166	1	4	4	X
ajst-8018	166	2	.	.	X
ajst-8018	166	3	conclusion	conclusion	NOUN
ajst-8018	166	4	while	while	SCONJ
ajst-8018	166	5	relying	rely	VERB
ajst-8018	166	6	on	on	ADP
ajst-8018	166	7	exploring	explore	VERB
ajst-8018	166	8	and	and	CCONJ
ajst-8018	166	9	enhancing	enhance	VERB
ajst-8018	166	10	existing	exist	VERB
ajst-8018	166	11	deep	deep	ADJ
ajst-8018	166	12	learning	learning	NOUN
ajst-8018	166	13	model	model	NOUN
ajst-8018	166	14	structures	structure	NOUN
ajst-8018	166	15	can	can	AUX
ajst-8018	166	16	enhance	enhance	VERB
ajst-8018	166	17	performance	performance	NOUN
ajst-8018	166	18	in	in	ADP
ajst-8018	166	19	medical	medical	ADJ
ajst-8018	166	20	image	image	NOUN
ajst-8018	166	21	analysis	analysis	NOUN
ajst-8018	166	22	,	,	PUNCT
ajst-8018	166	23	this	this	DET
ajst-8018	166	24	approach	approach	NOUN
ajst-8018	166	25	has	have	VERB
ajst-8018	166	26	a	a	DET
ajst-8018	166	27	drawback	drawback	NOUN
ajst-8018	166	28	in	in	SCONJ
ajst-8018	166	29	that	that	SCONJ
ajst-8018	166	30	it	it	PRON
ajst-8018	166	31	can	can	AUX
ajst-8018	166	32	only	only	ADV
ajst-8018	166	33	explore	explore	VERB
ajst-8018	166	34	the	the	DET
ajst-8018	166	35	best	good	ADJ
ajst-8018	166	36	model	model	NOUN
ajst-8018	166	37	states	state	NOUN
ajst-8018	166	38	in	in	ADP
ajst-8018	166	39	the	the	DET
ajst-8018	166	40	sparse	sparse	ADJ
ajst-8018	166	41	medical	medical	ADJ
ajst-8018	166	42	image	image	NOUN
ajst-8018	166	43	data	datum	NOUN
ajst-8018	166	44	and	and	CCONJ
ajst-8018	166	45	can	can	AUX
ajst-8018	166	46	not	not	PART
ajst-8018	166	47	deeply	deeply	ADV
ajst-8018	166	48	refer	refer	VERB
ajst-8018	166	49	to	to	ADP
ajst-8018	166	50	related	related	ADJ
ajst-8018	166	51	image	image	NOUN
ajst-8018	166	52	data	datum	NOUN
ajst-8018	166	53	or	or	CCONJ
ajst-8018	166	54	structural	structural	ADJ
ajst-8018	166	55	data	datum	NOUN
ajst-8018	166	56	to	to	PART
ajst-8018	166	57	achieve	achieve	VERB
ajst-8018	166	58	the	the	DET
ajst-8018	166	59	benefit	benefit	NOUN
ajst-8018	166	60	of	of	ADP
ajst-8018	166	61	synthesizing	synthesize	VERB
ajst-8018	166	62	data	datum	NOUN
ajst-8018	166	63	from	from	ADP
ajst-8018	166	64	multiple	multiple	ADJ
ajst-8018	166	65	sources	source	NOUN
ajst-8018	166	66	.	.	PUNCT
ajst-8018	167	1	researchers	researcher	NOUN
ajst-8018	167	2	can	can	AUX
ajst-8018	167	3	learn	learn	VERB
ajst-8018	167	4	new	new	ADJ
ajst-8018	167	5	approaches	approach	NOUN
ajst-8018	167	6	by	by	ADP
ajst-8018	167	7	studying	study	VERB
ajst-8018	167	8	multimodal	multimodal	ADJ
ajst-8018	167	9	fusion	fusion	NOUN
ajst-8018	167	10	techniques	technique	NOUN
ajst-8018	167	11	,	,	PUNCT
ajst-8018	167	12	such	such	ADJ
ajst-8018	167	13	as	as	ADP
ajst-8018	167	14	shifting	shift	VERB
ajst-8018	167	15	their	their	PRON
ajst-8018	167	16	focus	focus	NOUN
ajst-8018	167	17	from	from	ADP
ajst-8018	167	18	mining	mining	NOUN
ajst-8018	167	19	model	model	NOUN
ajst-8018	167	20	structures	structure	NOUN
ajst-8018	167	21	to	to	ADP
ajst-8018	167	22	mining	mine	VERB
ajst-8018	167	23	how	how	SCONJ
ajst-8018	167	24	data	datum	NOUN
ajst-8018	167	25	and	and	CCONJ
ajst-8018	167	26	models	model	NOUN
ajst-8018	167	27	are	be	AUX
ajst-8018	167	28	integrated	integrate	VERB
ajst-8018	167	29	.	.	PUNCT
ajst-8018	168	1	by	by	ADP
ajst-8018	168	2	weighting	weight	VERB
ajst-8018	168	3	,	,	PUNCT
ajst-8018	168	4	nonlinear	nonlinear	ADJ
ajst-8018	168	5	processing	processing	NOUN
ajst-8018	168	6	,	,	PUNCT
ajst-8018	168	7	and	and	CCONJ
ajst-8018	168	8	combining	combine	VERB
ajst-8018	168	9	,	,	PUNCT
ajst-8018	168	10	they	they	PRON
ajst-8018	168	11	may	may	AUX
ajst-8018	168	12	often	often	ADV
ajst-8018	168	13	enhance	enhance	VERB
ajst-8018	168	14	each	each	DET
ajst-8018	168	15	other	other	ADJ
ajst-8018	168	16	's	's	PART
ajst-8018	168	17	information	information	NOUN
ajst-8018	168	18	and	and	CCONJ
ajst-8018	168	19	eliminate	eliminate	VERB
ajst-8018	168	20	noise	noise	NOUN
ajst-8018	168	21	.	.	PUNCT
ajst-8018	169	1	in	in	ADP
ajst-8018	169	2	conclusion	conclusion	NOUN
ajst-8018	169	3	,	,	PUNCT
ajst-8018	169	4	the	the	DET
ajst-8018	169	5	following	following	ADJ
ajst-8018	169	6	issues	issue	NOUN
ajst-8018	169	7	with	with	ADP
ajst-8018	169	8	existing	exist	VERB
ajst-8018	169	9	multimodal	multimodal	NOUN
ajst-8018	169	10	data	datum	NOUN
ajst-8018	169	11	fusion	fusion	NOUN
ajst-8018	169	12	strategies	strategy	NOUN
ajst-8018	169	13	still	still	ADV
ajst-8018	169	14	exist	exist	VERB
ajst-8018	169	15	:	:	PUNCT
ajst-8018	169	16	1	1	X
ajst-8018	169	17	.	.	X
ajst-8018	169	18	data	datum	NOUN
ajst-8018	169	19	heterogeneity	heterogeneity	NOUN
ajst-8018	169	20	:	:	PUNCT
ajst-8018	169	21	data	datum	NOUN
ajst-8018	169	22	from	from	ADP
ajst-8018	169	23	several	several	ADJ
ajst-8018	169	24	modalities	modality	NOUN
ajst-8018	169	25	may	may	AUX
ajst-8018	169	26	have	have	VERB
ajst-8018	169	27	unique	unique	ADJ
ajst-8018	169	28	qualities	quality	NOUN
ajst-8018	169	29	and	and	CCONJ
ajst-8018	169	30	features	feature	NOUN
ajst-8018	169	31	,	,	PUNCT
ajst-8018	169	32	such	such	ADJ
ajst-8018	169	33	as	as	ADP
ajst-8018	169	34	text	text	NOUN
ajst-8018	169	35	and	and	CCONJ
ajst-8018	169	36	picture	picture	NOUN
ajst-8018	169	37	data	datum	NOUN
ajst-8018	169	38	,	,	PUNCT
ajst-8018	169	39	which	which	PRON
ajst-8018	169	40	need	need	VERB
ajst-8018	169	41	particular	particular	ADJ
ajst-8018	169	42	processing	processing	NOUN
ajst-8018	169	43	to	to	PART
ajst-8018	169	44	be	be	AUX
ajst-8018	169	45	fused	fuse	VERB
ajst-8018	169	46	successfully	successfully	ADV
ajst-8018	169	47	.	.	PUNCT
ajst-8018	170	1	the	the	DET
ajst-8018	170	2	model	model	NOUN
ajst-8018	170	3	could	could	AUX
ajst-8018	170	4	over	over	ADV
ajst-8018	170	5	-	-	PUNCT
ajst-8018	170	6	rely	rely	VERB
ajst-8018	170	7	on	on	ADP
ajst-8018	170	8	the	the	DET
ajst-8018	170	9	data	datum	NOUN
ajst-8018	170	10	from	from	ADP
ajst-8018	170	11	one	one	NUM
ajst-8018	170	12	of	of	ADP
ajst-8018	170	13	the	the	DET
ajst-8018	170	14	modalities	modality	NOUN
ajst-8018	170	15	and	and	CCONJ
ajst-8018	170	16	overlook	overlook	VERB
ajst-8018	170	17	the	the	DET
ajst-8018	170	18	information	information	NOUN
ajst-8018	170	19	from	from	ADP
ajst-8018	170	20	the	the	DET
ajst-8018	170	21	other	other	ADJ
ajst-8018	170	22	modalities	modality	NOUN
ajst-8018	170	23	as	as	ADP
ajst-8018	170	24	a	a	DET
ajst-8018	170	25	result	result	NOUN
ajst-8018	170	26	of	of	ADP
ajst-8018	170	27	variances	variance	NOUN
ajst-8018	170	28	in	in	ADP
ajst-8018	170	29	the	the	DET
ajst-8018	170	30	quality	quality	NOUN
ajst-8018	170	31	and	and	CCONJ
ajst-8018	170	32	reliability	reliability	NOUN
ajst-8018	170	33	of	of	ADP
ajst-8018	170	34	the	the	DET
ajst-8018	170	35	data	datum	NOUN
ajst-8018	170	36	.	.	PUNCT
ajst-8018	171	1	2	2	X
ajst-8018	171	2	.	.	X
ajst-8018	171	3	feature	feature	NOUN
ajst-8018	171	4	extraction	extraction	NOUN
ajst-8018	171	5	:	:	PUNCT
ajst-8018	171	6	because	because	SCONJ
ajst-8018	171	7	distinct	distinct	ADJ
ajst-8018	171	8	datasets	dataset	NOUN
ajst-8018	171	9	may	may	AUX
ajst-8018	171	10	exhibit	exhibit	VERB
ajst-8018	171	11	varying	vary	VERB
ajst-8018	171	12	distributions	distribution	NOUN
ajst-8018	171	13	and	and	CCONJ
ajst-8018	171	14	properties	property	NOUN
ajst-8018	171	15	,	,	PUNCT
ajst-8018	171	16	it	it	PRON
ajst-8018	171	17	is	be	AUX
ajst-8018	171	18	necessary	necessary	ADJ
ajst-8018	171	19	to	to	PART
ajst-8018	171	20	develop	develop	VERB
ajst-8018	171	21	effective	effective	ADJ
ajst-8018	171	22	feature	feature	NOUN
ajst-8018	171	23	extraction	extraction	NOUN
ajst-8018	171	24	techniques	technique	NOUN
ajst-8018	171	25	.	.	PUNCT
ajst-8018	172	1	3	3	X
ajst-8018	172	2	.	.	X
ajst-8018	172	3	semantic	semantic	ADJ
ajst-8018	172	4	inconsistency	inconsistency	NOUN
ajst-8018	172	5	:	:	PUNCT
ajst-8018	172	6	although	although	SCONJ
ajst-8018	172	7	multimodal	multimodal	ADJ
ajst-8018	172	8	data	data	NOUN
ajst-8018	172	9	fusion	fusion	NOUN
ajst-8018	172	10	combines	combine	VERB
ajst-8018	172	11	the	the	DET
ajst-8018	172	12	semantic	semantic	ADJ
ajst-8018	172	13	data	datum	NOUN
ajst-8018	172	14	from	from	ADP
ajst-8018	172	15	several	several	ADJ
ajst-8018	172	16	modalities	modality	NOUN
ajst-8018	172	17	,	,	PUNCT
ajst-8018	172	18	there	there	PRON
ajst-8018	172	19	may	may	AUX
ajst-8018	172	20	be	be	AUX
ajst-8018	172	21	a	a	DET
ajst-8018	172	22	semantic	semantic	ADJ
ajst-8018	172	23	discrepancy	discrepancy	NOUN
ajst-8018	172	24	between	between	ADP
ajst-8018	172	25	various	various	ADJ
ajst-8018	172	26	modalities	modality	NOUN
ajst-8018	172	27	.	.	PUNCT
ajst-8018	173	1	4	4	X
ajst-8018	173	2	.	.	X
ajst-8018	173	3	a	a	DET
ajst-8018	173	4	lack	lack	NOUN
ajst-8018	173	5	of	of	ADP
ajst-8018	173	6	large	large	ADJ
ajst-8018	173	7	-	-	PUNCT
ajst-8018	173	8	scale	scale	NOUN
ajst-8018	173	9	datasets	dataset	NOUN
ajst-8018	173	10	:	:	PUNCT
ajst-8018	173	11	the	the	DET
ajst-8018	173	12	development	development	NOUN
ajst-8018	173	13	of	of	ADP
ajst-8018	173	14	multimodal	multimodal	NOUN
ajst-8018	173	15	data	datum	NOUN
ajst-8018	173	16	fusion	fusion	NOUN
ajst-8018	173	17	models	model	NOUN
ajst-8018	173	18	is	be	AUX
ajst-8018	173	19	constrained	constrain	VERB
ajst-8018	173	20	by	by	ADP
ajst-8018	173	21	the	the	DET
ajst-8018	173	22	difficulty	difficulty	NOUN
ajst-8018	173	23	of	of	ADP
ajst-8018	173	24	acquiring	acquire	VERB
ajst-8018	173	25	and	and	CCONJ
ajst-8018	173	26	annotating	annotate	VERB
ajst-8018	173	27	multimodal	multimodal	NOUN
ajst-8018	173	28	datasets	dataset	NOUN
ajst-8018	173	29	.	.	PUNCT
ajst-8018	174	1	future	future	ADJ
ajst-8018	174	2	work	work	NOUN
ajst-8018	174	3	must	must	AUX
ajst-8018	174	4	concentrate	concentrate	VERB
ajst-8018	174	5	on	on	ADP
ajst-8018	174	6	the	the	DET
ajst-8018	174	7	study	study	NOUN
ajst-8018	174	8	of	of	ADP
ajst-8018	174	9	feature	feature	NOUN
ajst-8018	174	10	learning	learning	NOUN
ajst-8018	174	11	and	and	CCONJ
ajst-8018	174	12	joint	joint	ADJ
ajst-8018	174	13	training	training	NOUN
ajst-8018	174	14	to	to	PART
ajst-8018	174	15	successfully	successfully	ADV
ajst-8018	174	16	fuse	fuse	VERB
ajst-8018	174	17	the	the	DET
ajst-8018	174	18	features	feature	NOUN
ajst-8018	174	19	of	of	ADP
ajst-8018	174	20	various	various	ADJ
ajst-8018	174	21	modalities	modality	NOUN
ajst-8018	174	22	and	and	CCONJ
ajst-8018	174	23	resolve	resolve	VERB
ajst-8018	174	24	the	the	DET
ajst-8018	174	25	semantic	semantic	ADJ
ajst-8018	174	26	inconsistency	inconsistency	NOUN
ajst-8018	174	27	between	between	ADP
ajst-8018	174	28	them	they	PRON
ajst-8018	174	29	to	to	PART
ajst-8018	174	30	overcome	overcome	VERB
ajst-8018	174	31	these	these	DET
ajst-8018	174	32	issues	issue	NOUN
ajst-8018	174	33	.	.	PUNCT
ajst-8018	175	1	the	the	DET
ajst-8018	175	2	design	design	NOUN
ajst-8018	175	3	of	of	ADP
ajst-8018	175	4	medical	medical	ADJ
ajst-8018	175	5	multimodal	multimodal	NOUN
ajst-8018	175	6	fusion	fusion	NOUN
ajst-8018	175	7	will	will	AUX
ajst-8018	175	8	also	also	ADV
ajst-8018	175	9	enable	enable	VERB
ajst-8018	175	10	computer	computer	NOUN
ajst-8018	175	11	-	-	PUNCT
ajst-8018	175	12	aided	aid	VERB
ajst-8018	175	13	diagnosis	diagnosis	NOUN
ajst-8018	175	14	technology	technology	NOUN
ajst-8018	175	15	to	to	PART
ajst-8018	175	16	influence	influence	VERB
ajst-8018	175	17	the	the	DET
ajst-8018	175	18	results	result	NOUN
ajst-8018	175	19	of	of	ADP
ajst-8018	175	20	super	super	ADJ
ajst-8018	175	21	manual	manual	ADJ
ajst-8018	175	22	tests	test	NOUN
ajst-8018	175	23	as	as	ADP
ajst-8018	175	24	a	a	DET
ajst-8018	175	25	result	result	NOUN
ajst-8018	175	26	of	of	ADP
ajst-8018	175	27	the	the	DET
ajst-8018	175	28	creation	creation	NOUN
ajst-8018	175	29	of	of	ADP
ajst-8018	175	30	deep	deep	ADJ
ajst-8018	175	31	learning	learning	NOUN
ajst-8018	175	32	model	model	NOUN
ajst-8018	175	33	structures	structure	NOUN
ajst-8018	175	34	and	and	CCONJ
ajst-8018	175	35	methodologies	methodology	NOUN
ajst-8018	175	36	.	.	PUNCT
ajst-8018	176	1	references	reference	NOUN
ajst-8018	176	2	[	[	X
ajst-8018	176	3	1	1	NUM
ajst-8018	176	4	]	]	PUNCT
ajst-8018	176	5	s.-q	s.-q	PROPN
ajst-8018	176	6	.	.	PUNCT
ajst-8018	177	1	deng	deng	PROPN
ajst-8018	177	2	,	,	PUNCT
ajst-8018	177	3	l.-j	l.-j	PROPN
ajst-8018	177	4	.	.	PUNCT
ajst-8018	178	1	deng	deng	PROPN
ajst-8018	178	2	,	,	PUNCT
ajst-8018	178	3	x.	x.	PROPN
ajst-8018	178	4	wu	wu	PROPN
ajst-8018	178	5	,	,	PUNCT
ajst-8018	178	6	r.	r.	PROPN
ajst-8018	178	7	ran	run	VERB
ajst-8018	178	8	,	,	PUNCT
ajst-8018	178	9	d.	d.	PROPN
ajst-8018	178	10	hong	hong	PROPN
ajst-8018	178	11	,	,	PUNCT
ajst-8018	178	12	and	and	CCONJ
ajst-8018	178	13	g.	g.	PROPN
ajst-8018	178	14	vivone	vivone	PROPN
ajst-8018	178	15	,	,	PUNCT
ajst-8018	178	16	"	"	PUNCT
ajst-8018	178	17	psrt	psrt	NOUN
ajst-8018	178	18	:	:	PUNCT
ajst-8018	178	19	pyramid	pyramid	NOUN
ajst-8018	178	20	shuffle	shuffle	VERB
ajst-8018	178	21	-	-	PUNCT
ajst-8018	178	22	and	and	CCONJ
ajst-8018	178	23	-	-	PUNCT
ajst-8018	178	24	reshuffle	reshuffle	NOUN
ajst-8018	178	25	transformer	transformer	NOUN
ajst-8018	178	26	for	for	ADP
ajst-8018	178	27	multispectral	multispectral	ADJ
ajst-8018	178	28	and	and	CCONJ
ajst-8018	178	29	hyperspectral	hyperspectral	ADJ
ajst-8018	178	30	image	image	NOUN
ajst-8018	178	31	fusion	fusion	NOUN
ajst-8018	178	32	,	,	PUNCT
ajst-8018	178	33	"	"	PUNCT
ajst-8018	178	34	ieee	ieee	NOUN
ajst-8018	178	35	transactions	transaction	NOUN
ajst-8018	178	36	on	on	ADP
ajst-8018	178	37	geoscience	geoscience	NOUN
ajst-8018	178	38	and	and	CCONJ
ajst-8018	178	39	remote	remote	ADJ
ajst-8018	178	40	sensing	sensing	NOUN
ajst-8018	178	41	,	,	PUNCT
ajst-8018	178	42	vol	vol	NOUN
ajst-8018	178	43	.	.	PROPN
ajst-8018	178	44	61	61	NUM
ajst-8018	178	45	,	,	PUNCT
ajst-8018	178	46	pp	pp	ADJ
ajst-8018	178	47	.	.	PUNCT
ajst-8018	179	1	1	1	NUM
ajst-8018	179	2	-	-	SYM
ajst-8018	179	3	15	15	NUM
ajst-8018	179	4	,	,	PUNCT
ajst-8018	179	5	2023	2023	NUM
ajst-8018	179	6	.	.	PUNCT
ajst-8018	180	1	[	[	X
ajst-8018	180	2	2	2	NUM
ajst-8018	180	3	]	]	X
ajst-8018	180	4	l.	l.	PROPN
ajst-8018	180	5	tang	tang	PROPN
ajst-8018	180	6	,	,	PUNCT
ajst-8018	180	7	j.	j.	PROPN
ajst-8018	180	8	yuan	yuan	PROPN
ajst-8018	180	9	,	,	PUNCT
ajst-8018	180	10	h.	h.	PROPN
ajst-8018	180	11	zhang	zhang	PROPN
ajst-8018	180	12	,	,	PUNCT
ajst-8018	180	13	x.	x.	PROPN
ajst-8018	180	14	jiang	jiang	PROPN
ajst-8018	180	15	,	,	PUNCT
ajst-8018	180	16	and	and	CCONJ
ajst-8018	180	17	j.	j.	PROPN
ajst-8018	180	18	ma	ma	PROPN
ajst-8018	180	19	,	,	PUNCT
ajst-8018	180	20	"	"	PUNCT
ajst-8018	180	21	piafusion	piafusion	NOUN
ajst-8018	180	22	:	:	PUNCT
ajst-8018	180	23	a	a	DET
ajst-8018	180	24	progressive	progressive	ADJ
ajst-8018	180	25	infrared	infrared	ADJ
ajst-8018	180	26	and	and	CCONJ
ajst-8018	180	27	visible	visible	ADJ
ajst-8018	180	28	image	image	NOUN
ajst-8018	180	29	fusion	fusion	NOUN
ajst-8018	180	30	network	network	NOUN
ajst-8018	180	31	based	base	VERB
ajst-8018	180	32	on	on	ADP
ajst-8018	180	33	illumination	illumination	NOUN
ajst-8018	180	34	aware	aware	ADJ
ajst-8018	180	35	,	,	PUNCT
ajst-8018	180	36	"	"	PUNCT
ajst-8018	180	37	information	information	NOUN
ajst-8018	180	38	fusion	fusion	NOUN
ajst-8018	180	39	,	,	PUNCT
ajst-8018	180	40	vol	vol	NOUN
ajst-8018	180	41	.	.	PROPN
ajst-8018	180	42	83	83	NUM
ajst-8018	180	43	,	,	PUNCT
ajst-8018	180	44	pp	pp	ADJ
ajst-8018	180	45	.	.	PUNCT
ajst-8018	181	1	79	79	NUM
ajst-8018	181	2	-	-	SYM
ajst-8018	181	3	92	92	NUM
ajst-8018	181	4	,	,	PUNCT
ajst-8018	181	5	2022	2022	NUM
ajst-8018	181	6	.	.	PUNCT
ajst-8018	182	1	[	[	X
ajst-8018	182	2	3	3	X
ajst-8018	182	3	]	]	X
ajst-8018	182	4	b.	b.	PROPN
ajst-8018	182	5	meher	meher	PROPN
ajst-8018	182	6	,	,	PUNCT
ajst-8018	182	7	s.	s.	PROPN
ajst-8018	182	8	agrawal	agrawal	PROPN
ajst-8018	182	9	,	,	PUNCT
ajst-8018	182	10	r.	r.	NOUN
ajst-8018	182	11	panda	panda	NOUN
ajst-8018	182	12	,	,	PUNCT
ajst-8018	182	13	and	and	CCONJ
ajst-8018	182	14	a.	a.	NOUN
ajst-8018	182	15	abraham	abraham	PROPN
ajst-8018	182	16	,	,	PUNCT
ajst-8018	182	17	"	"	PUNCT
ajst-8018	182	18	a	a	DET
ajst-8018	182	19	survey	survey	NOUN
ajst-8018	182	20	on	on	ADP
ajst-8018	182	21	region	region	NOUN
ajst-8018	182	22	based	base	VERB
ajst-8018	182	23	image	image	NOUN
ajst-8018	182	24	fusion	fusion	NOUN
ajst-8018	182	25	methods	method	NOUN
ajst-8018	182	26	,	,	PUNCT
ajst-8018	182	27	"	"	PUNCT
ajst-8018	182	28	information	information	NOUN
ajst-8018	182	29	fusion	fusion	NOUN
ajst-8018	182	30	,	,	PUNCT
ajst-8018	182	31	vol	vol	NOUN
ajst-8018	182	32	.	.	PROPN
ajst-8018	182	33	48	48	NUM
ajst-8018	182	34	,	,	PUNCT
ajst-8018	182	35	pp	pp	ADJ
ajst-8018	182	36	.	.	PUNCT
ajst-8018	183	1	119	119	NUM
ajst-8018	183	2	-	-	SYM
ajst-8018	183	3	132	132	NUM
ajst-8018	183	4	,	,	PUNCT
ajst-8018	183	5	2019	2019	NUM
ajst-8018	183	6	.	.	PUNCT
ajst-8018	184	1	[	[	X
ajst-8018	184	2	4	4	NUM
ajst-8018	184	3	]	]	PUNCT
ajst-8018	184	4	a.	a.	NOUN
ajst-8018	184	5	p.	p.	PROPN
ajst-8018	184	6	james	james	PROPN
ajst-8018	184	7	and	and	CCONJ
ajst-8018	184	8	b.	b.	PROPN
ajst-8018	185	1	v.	v.	CCONJ
ajst-8018	185	2	dasarathy	dasarathy	PROPN
ajst-8018	185	3	,	,	PUNCT
ajst-8018	185	4	"	"	PUNCT
ajst-8018	185	5	medical	medical	ADJ
ajst-8018	185	6	image	image	NOUN
ajst-8018	185	7	fusion	fusion	NOUN
ajst-8018	185	8	:	:	PUNCT
ajst-8018	185	9	a	a	DET
ajst-8018	185	10	survey	survey	NOUN
ajst-8018	185	11	of	of	ADP
ajst-8018	185	12	the	the	DET
ajst-8018	185	13	state	state	NOUN
ajst-8018	185	14	of	of	ADP
ajst-8018	185	15	the	the	DET
ajst-8018	185	16	art	art	NOUN
ajst-8018	185	17	,	,	PUNCT
ajst-8018	185	18	"	"	PUNCT
ajst-8018	185	19	information	information	NOUN
ajst-8018	185	20	fusion	fusion	NOUN
ajst-8018	185	21	,	,	PUNCT
ajst-8018	185	22	vol	vol	NOUN
ajst-8018	185	23	.	.	PROPN
ajst-8018	185	24	19	19	NUM
ajst-8018	185	25	,	,	PUNCT
ajst-8018	185	26	pp	pp	ADJ
ajst-8018	185	27	.	.	PUNCT
ajst-8018	186	1	4	4	NUM
ajst-8018	186	2	-	-	SYM
ajst-8018	186	3	19	19	NUM
ajst-8018	186	4	,	,	PUNCT
ajst-8018	186	5	2014	2014	NUM
ajst-8018	186	6	.	.	PUNCT
ajst-8018	187	1	[	[	X
ajst-8018	187	2	5	5	NUM
ajst-8018	187	3	]	]	PUNCT
ajst-8018	187	4	r.	r.	PROPN
ajst-8018	187	5	singh	singh	PROPN
ajst-8018	187	6	and	and	CCONJ
ajst-8018	187	7	a.	a.	PROPN
ajst-8018	187	8	khare	khare	PROPN
ajst-8018	187	9	,	,	PUNCT
ajst-8018	187	10	"	"	PUNCT
ajst-8018	187	11	fusion	fusion	NOUN
ajst-8018	187	12	of	of	ADP
ajst-8018	187	13	multimodal	multimodal	NOUN
ajst-8018	187	14	medical	medical	ADJ
ajst-8018	187	15	images	image	NOUN
ajst-8018	187	16	using	use	VERB
ajst-8018	187	17	daubechies	daubechie	NOUN
ajst-8018	187	18	complex	complex	ADJ
ajst-8018	187	19	wavelet	wavelet	NOUN
ajst-8018	187	20	transform	transform	NOUN
ajst-8018	187	21	–	–	PUNCT
ajst-8018	187	22	a	a	DET
ajst-8018	187	23	multiresolution	multiresolution	NOUN
ajst-8018	187	24	approach	approach	NOUN
ajst-8018	187	25	,	,	PUNCT
ajst-8018	187	26	"	"	PUNCT
ajst-8018	187	27	information	information	NOUN
ajst-8018	187	28	fusion	fusion	NOUN
ajst-8018	187	29	,	,	PUNCT
ajst-8018	187	30	vol	vol	NOUN
ajst-8018	187	31	.	.	PROPN
ajst-8018	187	32	19	19	NUM
ajst-8018	187	33	,	,	PUNCT
ajst-8018	187	34	pp	pp	ADJ
ajst-8018	187	35	.	.	PUNCT
ajst-8018	187	36	4960	4960	NUM
ajst-8018	187	37	,	,	PUNCT
ajst-8018	187	38	2014	2014	NUM
ajst-8018	187	39	.	.	PUNCT
ajst-8018	188	1	[	[	X
ajst-8018	188	2	6	6	NUM
ajst-8018	188	3	]	]	PUNCT
ajst-8018	188	4	h.	h.	PROPN
ajst-8018	188	5	yin	yin	PROPN
ajst-8018	188	6	,	,	PUNCT
ajst-8018	188	7	y.	y.	PROPN
ajst-8018	188	8	li	li	PROPN
ajst-8018	188	9	,	,	PUNCT
ajst-8018	188	10	y.	y.	PROPN
ajst-8018	188	11	chai	chai	PROPN
ajst-8018	188	12	,	,	PUNCT
ajst-8018	188	13	z.	z.	PROPN
ajst-8018	188	14	liu	liu	PROPN
ajst-8018	188	15	,	,	PUNCT
ajst-8018	188	16	and	and	CCONJ
ajst-8018	188	17	z.	z.	PROPN
ajst-8018	188	18	zhu	zhu	PROPN
ajst-8018	188	19	,	,	PUNCT
ajst-8018	188	20	"	"	PUNCT
ajst-8018	188	21	a	a	DET
ajst-8018	188	22	novel	novel	ADJ
ajst-8018	188	23	sparserepresentation	sparserepresentation	NOUN
ajst-8018	188	24	-	-	PUNCT
ajst-8018	188	25	based	base	VERB
ajst-8018	188	26	multi	multi	ADJ
ajst-8018	188	27	-	-	ADJ
ajst-8018	188	28	focus	focus	ADJ
ajst-8018	188	29	image	image	NOUN
ajst-8018	188	30	fusion	fusion	NOUN
ajst-8018	188	31	approach	approach	NOUN
ajst-8018	188	32	,	,	PUNCT
ajst-8018	188	33	"	"	PUNCT
ajst-8018	188	34	neurocomputing	neurocomputing	NOUN
ajst-8018	188	35	,	,	PUNCT
ajst-8018	188	36	vol	vol	NOUN
ajst-8018	188	37	.	.	PROPN
ajst-8018	188	38	216	216	NUM
ajst-8018	188	39	,	,	PUNCT
ajst-8018	188	40	pp	pp	ADJ
ajst-8018	188	41	.	.	PUNCT
ajst-8018	189	1	216	216	NUM
ajst-8018	189	2	-	-	SYM
ajst-8018	189	3	229	229	NUM
ajst-8018	189	4	,	,	PUNCT
ajst-8018	189	5	2016	2016	NUM
ajst-8018	189	6	.	.	PUNCT
ajst-8018	190	1	[	[	X
ajst-8018	190	2	7	7	X
ajst-8018	190	3	]	]	X
ajst-8018	190	4	y.	y.	PROPN
ajst-8018	190	5	liu	liu	PROPN
ajst-8018	190	6	,	,	PUNCT
ajst-8018	190	7	x.	x.	PROPN
ajst-8018	190	8	chen	chen	PROPN
ajst-8018	190	9	,	,	PUNCT
ajst-8018	190	10	z.	z.	PROPN
ajst-8018	190	11	wang	wang	PROPN
ajst-8018	190	12	,	,	PUNCT
ajst-8018	190	13	z.	z.	PROPN
ajst-8018	190	14	j.	j.	PROPN
ajst-8018	190	15	wang	wang	PROPN
ajst-8018	190	16	,	,	PUNCT
ajst-8018	190	17	r.	r.	PROPN
ajst-8018	190	18	k.	k.	PROPN
ajst-8018	190	19	ward	ward	PROPN
ajst-8018	190	20	,	,	PUNCT
ajst-8018	190	21	and	and	CCONJ
ajst-8018	190	22	x.	x.	NOUN
ajst-8018	190	23	wang	wang	PROPN
ajst-8018	190	24	,	,	PUNCT
ajst-8018	190	25	"	"	PUNCT
ajst-8018	190	26	deep	deep	ADJ
ajst-8018	190	27	learning	learning	NOUN
ajst-8018	190	28	for	for	ADP
ajst-8018	190	29	pixel	pixel	ADJ
ajst-8018	190	30	-	-	PUNCT
ajst-8018	190	31	level	level	NOUN
ajst-8018	190	32	image	image	NOUN
ajst-8018	190	33	fusion	fusion	NOUN
ajst-8018	190	34	:	:	PUNCT
ajst-8018	190	35	recent	recent	ADJ
ajst-8018	190	36	advances	advance	NOUN
ajst-8018	190	37	and	and	CCONJ
ajst-8018	190	38	future	future	ADJ
ajst-8018	190	39	prospects	prospect	NOUN
ajst-8018	190	40	,	,	PUNCT
ajst-8018	190	41	"	"	PUNCT
ajst-8018	190	42	information	information	NOUN
ajst-8018	190	43	fusion	fusion	NOUN
ajst-8018	190	44	,	,	PUNCT
ajst-8018	190	45	vol	vol	NOUN
ajst-8018	190	46	.	.	PROPN
ajst-8018	191	1	42	42	NUM
ajst-8018	191	2	,	,	PUNCT
ajst-8018	191	3	pp	pp	ADJ
ajst-8018	191	4	.	.	PUNCT
ajst-8018	192	1	158	158	NUM
ajst-8018	192	2	-	-	SYM
ajst-8018	192	3	173	173	NUM
ajst-8018	192	4	,	,	PUNCT
ajst-8018	192	5	2018	2018	NUM
ajst-8018	192	6	.	.	PUNCT
ajst-8018	193	1	[	[	X
ajst-8018	193	2	8	8	NUM
ajst-8018	193	3	]	]	PUNCT
ajst-8018	193	4	m.	m.	NOUN
ajst-8018	193	5	d.	d.	PROPN
ajst-8018	193	6	zeiler	zeiler	PROPN
ajst-8018	193	7	,	,	PUNCT
ajst-8018	193	8	d.	d.	PROPN
ajst-8018	193	9	krishnan	krishnan	PROPN
ajst-8018	193	10	,	,	PUNCT
ajst-8018	193	11	g.	g.	PROPN
ajst-8018	193	12	w.	w.	PROPN
ajst-8018	193	13	taylor	taylor	PROPN
ajst-8018	193	14	,	,	PUNCT
ajst-8018	193	15	and	and	CCONJ
ajst-8018	193	16	r.	r.	PROPN
ajst-8018	193	17	fergus	fergus	PROPN
ajst-8018	193	18	,	,	PUNCT
ajst-8018	193	19	"	"	PUNCT
ajst-8018	193	20	deconvolutional	deconvolutional	ADJ
ajst-8018	193	21	networks	network	NOUN
ajst-8018	193	22	,	,	PUNCT
ajst-8018	193	23	"	"	PUNCT
ajst-8018	193	24	in	in	ADP
ajst-8018	193	25	2010	2010	NUM
ajst-8018	193	26	ieee	ieee	NOUN
ajst-8018	193	27	computer	computer	NOUN
ajst-8018	193	28	society	society	PROPN
ajst-8018	193	29	conference	conference	NOUN
ajst-8018	193	30	on	on	ADP
ajst-8018	193	31	computer	computer	NOUN
ajst-8018	193	32	vision	vision	NOUN
ajst-8018	193	33	and	and	CCONJ
ajst-8018	193	34	pattern	pattern	NOUN
ajst-8018	193	35	recognition	recognition	NOUN
ajst-8018	193	36	,	,	PUNCT
ajst-8018	193	37	2010	2010	NUM
ajst-8018	193	38	:	:	PUNCT
ajst-8018	193	39	ieee	ieee	NOUN
ajst-8018	193	40	,	,	PUNCT
ajst-8018	193	41	pp	pp	ADP
ajst-8018	193	42	.	.	PUNCT
ajst-8018	193	43	2528	2528	NUM
ajst-8018	193	44	-	-	SYM
ajst-8018	193	45	2535	2535	NUM
ajst-8018	193	46	.	.	PUNCT
ajst-8018	194	1	[	[	X
ajst-8018	194	2	9	9	NUM
ajst-8018	194	3	]	]	PUNCT
ajst-8018	194	4	b.	b.	PROPN
ajst-8018	194	5	wohlberg	wohlberg	PROPN
ajst-8018	194	6	,	,	PUNCT
ajst-8018	194	7	"	"	PUNCT
ajst-8018	194	8	efficient	efficient	ADJ
ajst-8018	194	9	algorithms	algorithm	NOUN
ajst-8018	194	10	for	for	ADP
ajst-8018	194	11	convolutional	convolutional	ADJ
ajst-8018	194	12	sparse	sparse	ADJ
ajst-8018	194	13	representations	representation	NOUN
ajst-8018	194	14	,	,	PUNCT
ajst-8018	194	15	"	"	PUNCT
ajst-8018	194	16	ieee	ieee	NOUN
ajst-8018	194	17	transactions	transaction	NOUN
ajst-8018	194	18	on	on	ADP
ajst-8018	194	19	image	image	NOUN
ajst-8018	194	20	processing	processing	NOUN
ajst-8018	194	21	,	,	PUNCT
ajst-8018	194	22	vol	vol	NOUN
ajst-8018	194	23	.	.	PROPN
ajst-8018	194	24	25	25	NUM
ajst-8018	194	25	,	,	PUNCT
ajst-8018	194	26	no	no	INTJ
ajst-8018	194	27	.	.	NOUN
ajst-8018	194	28	1	1	NUM
ajst-8018	194	29	,	,	PUNCT
ajst-8018	194	30	pp	pp	ADJ
ajst-8018	194	31	.	.	PUNCT
ajst-8018	194	32	301	301	NUM
ajst-8018	194	33	-	-	SYM
ajst-8018	194	34	315	315	NUM
ajst-8018	194	35	,	,	PUNCT
ajst-8018	194	36	2015	2015	NUM
ajst-8018	194	37	.	.	PUNCT
ajst-8018	195	1	[	[	X
ajst-8018	195	2	10	10	NUM
ajst-8018	195	3	]	]	PUNCT
ajst-8018	195	4	k.	k.	NOUN
ajst-8018	196	1	he	he	PROPN
ajst-8018	196	2	,	,	PUNCT
ajst-8018	196	3	x.	x.	PROPN
ajst-8018	196	4	zhang	zhang	PROPN
ajst-8018	196	5	,	,	PUNCT
ajst-8018	196	6	s.	s.	PROPN
ajst-8018	196	7	ren	ren	PROPN
ajst-8018	196	8	,	,	PUNCT
ajst-8018	196	9	and	and	CCONJ
ajst-8018	196	10	j.	j.	PROPN
ajst-8018	196	11	sun	sun	PROPN
ajst-8018	196	12	,	,	PUNCT
ajst-8018	196	13	"	"	PUNCT
ajst-8018	196	14	deep	deep	ADJ
ajst-8018	196	15	residual	residual	ADJ
ajst-8018	196	16	learning	learning	NOUN
ajst-8018	196	17	for	for	ADP
ajst-8018	196	18	image	image	NOUN
ajst-8018	196	19	recognition	recognition	NOUN
ajst-8018	196	20	,	,	PUNCT
ajst-8018	196	21	"	"	PUNCT
ajst-8018	196	22	in	in	ADP
ajst-8018	196	23	proceedings	proceeding	NOUN
ajst-8018	196	24	of	of	ADP
ajst-8018	196	25	the	the	DET
ajst-8018	196	26	ieee	ieee	NOUN
ajst-8018	196	27	conference	conference	NOUN
ajst-8018	196	28	on	on	ADP
ajst-8018	196	29	computer	computer	NOUN
ajst-8018	196	30	vision	vision	NOUN
ajst-8018	196	31	and	and	CCONJ
ajst-8018	196	32	pattern	pattern	NOUN
ajst-8018	196	33	recognition	recognition	NOUN
ajst-8018	196	34	,	,	PUNCT
ajst-8018	196	35	2016	2016	NUM
ajst-8018	196	36	,	,	PUNCT
ajst-8018	196	37	pp	pp	ADJ
ajst-8018	196	38	.	.	PUNCT
ajst-8018	197	1	770	770	NUM
ajst-8018	197	2	-	-	SYM
ajst-8018	197	3	778	778	NUM
ajst-8018	197	4	.	.	PUNCT
ajst-8018	198	1	[	[	X
ajst-8018	198	2	11	11	NUM
ajst-8018	198	3	]	]	PUNCT
ajst-8018	198	4	s.	s.	PROPN
ajst-8018	198	5	xie	xie	PROPN
ajst-8018	198	6	,	,	PUNCT
ajst-8018	198	7	r.	r.	PROPN
ajst-8018	198	8	girshick	girshick	PROPN
ajst-8018	198	9	,	,	PUNCT
ajst-8018	198	10	p.	p.	NOUN
ajst-8018	198	11	dollár	dollár	NOUN
ajst-8018	198	12	,	,	PUNCT
ajst-8018	198	13	z.	z.	PROPN
ajst-8018	198	14	tu	tu	PROPN
ajst-8018	198	15	,	,	PUNCT
ajst-8018	198	16	and	and	CCONJ
ajst-8018	198	17	k.	k.	PROPN
ajst-8018	198	18	he	he	PRON
ajst-8018	198	19	,	,	PUNCT
ajst-8018	198	20	"	"	PUNCT
ajst-8018	198	21	aggregated	aggregate	VERB
ajst-8018	198	22	residual	residual	ADJ
ajst-8018	198	23	transformations	transformation	NOUN
ajst-8018	198	24	for	for	ADP
ajst-8018	198	25	deep	deep	ADJ
ajst-8018	198	26	neural	neural	ADJ
ajst-8018	198	27	networks	network	NOUN
ajst-8018	198	28	,	,	PUNCT
ajst-8018	198	29	"	"	PUNCT
ajst-8018	198	30	in	in	ADP
ajst-8018	198	31	proceedings	proceeding	NOUN
ajst-8018	198	32	of	of	ADP
ajst-8018	198	33	the	the	DET
ajst-8018	198	34	ieee	ieee	NOUN
ajst-8018	198	35	conference	conference	NOUN
ajst-8018	198	36	on	on	ADP
ajst-8018	198	37	computer	computer	NOUN
ajst-8018	198	38	vision	vision	NOUN
ajst-8018	198	39	and	and	CCONJ
ajst-8018	198	40	pattern	pattern	NOUN
ajst-8018	198	41	recognition	recognition	NOUN
ajst-8018	198	42	,	,	PUNCT
ajst-8018	198	43	2017	2017	NUM
ajst-8018	198	44	,	,	PUNCT
ajst-8018	198	45	pp	pp	ADJ
ajst-8018	198	46	.	.	PUNCT
ajst-8018	199	1	1492	1492	NUM
ajst-8018	199	2	-	-	SYM
ajst-8018	199	3	1500	1500	NUM
ajst-8018	199	4	.	.	PUNCT
ajst-8018	200	1	[	[	X
ajst-8018	200	2	12	12	NUM
ajst-8018	200	3	]	]	PUNCT
ajst-8018	200	4	s.	s.	PROPN
ajst-8018	200	5	zagoruyko	zagoruyko	PROPN
ajst-8018	200	6	and	and	CCONJ
ajst-8018	200	7	n.	n.	PROPN
ajst-8018	200	8	komodakis	komodakis	PROPN
ajst-8018	200	9	,	,	PUNCT
ajst-8018	200	10	"	"	PUNCT
ajst-8018	200	11	wide	wide	ADJ
ajst-8018	200	12	residual	residual	ADJ
ajst-8018	200	13	networks	network	NOUN
ajst-8018	200	14	,	,	PUNCT
ajst-8018	200	15	"	"	PUNCT
ajst-8018	200	16	arxiv	arxiv	PROPN
ajst-8018	200	17	preprint	preprint	NOUN
ajst-8018	200	18	arxiv:1605.07146	arxiv:1605.07146	PROPN
ajst-8018	200	19	,	,	PUNCT
ajst-8018	200	20	2016	2016	NUM
ajst-8018	200	21	.	.	PUNCT
ajst-8018	201	1	[	[	X
ajst-8018	201	2	13	13	NUM
ajst-8018	201	3	]	]	PUNCT
ajst-8018	201	4	t.-y	t.-y	NOUN
ajst-8018	201	5	.	.	PUNCT
ajst-8018	202	1	lin	lin	PROPN
ajst-8018	202	2	,	,	PUNCT
ajst-8018	202	3	p.	p.	NOUN
ajst-8018	202	4	dollár	dollár	PROPN
ajst-8018	202	5	,	,	PUNCT
ajst-8018	202	6	r.	r.	PROPN
ajst-8018	202	7	girshick	girshick	PROPN
ajst-8018	202	8	,	,	PUNCT
ajst-8018	202	9	k.	k.	PROPN
ajst-8018	203	1	he	he	PRON
ajst-8018	203	2	,	,	PUNCT
ajst-8018	203	3	b.	b.	PROPN
ajst-8018	203	4	hariharan	hariharan	PROPN
ajst-8018	203	5	,	,	PUNCT
ajst-8018	203	6	and	and	CCONJ
ajst-8018	203	7	s.	s.	PROPN
ajst-8018	203	8	belongie	belongie	PROPN
ajst-8018	203	9	,	,	PUNCT
ajst-8018	203	10	"	"	PUNCT
ajst-8018	203	11	feature	feature	NOUN
ajst-8018	203	12	pyramid	pyramid	NOUN
ajst-8018	203	13	networks	network	NOUN
ajst-8018	203	14	for	for	ADP
ajst-8018	203	15	object	object	NOUN
ajst-8018	203	16	detection	detection	NOUN
ajst-8018	203	17	,	,	PUNCT
ajst-8018	203	18	"	"	PUNCT
ajst-8018	203	19	in	in	ADP
ajst-8018	203	20	proceedings	proceeding	NOUN
ajst-8018	203	21	of	of	ADP
ajst-8018	203	22	the	the	DET
ajst-8018	203	23	ieee	ieee	NOUN
ajst-8018	203	24	conference	conference	NOUN
ajst-8018	203	25	on	on	ADP
ajst-8018	203	26	computer	computer	NOUN
ajst-8018	203	27	vision	vision	NOUN
ajst-8018	203	28	and	and	CCONJ
ajst-8018	203	29	pattern	pattern	NOUN
ajst-8018	203	30	recognition	recognition	NOUN
ajst-8018	203	31	,	,	PUNCT
ajst-8018	203	32	2017	2017	NUM
ajst-8018	203	33	,	,	PUNCT
ajst-8018	203	34	pp	pp	ADJ
ajst-8018	203	35	.	.	PUNCT
ajst-8018	203	36	2117	2117	NUM
ajst-8018	203	37	-	-	SYM
ajst-8018	203	38	2125	2125	NUM
ajst-8018	203	39	.	.	PUNCT
ajst-8018	204	1	[	[	X
ajst-8018	204	2	14	14	NUM
ajst-8018	204	3	]	]	X
ajst-8018	204	4	f.	f.	PROPN
ajst-8018	204	5	milletari	milletari	PROPN
ajst-8018	204	6	,	,	PUNCT
ajst-8018	204	7	n.	n.	PROPN
ajst-8018	204	8	navab	navab	PROPN
ajst-8018	204	9	,	,	PUNCT
ajst-8018	204	10	and	and	CCONJ
ajst-8018	204	11	s.-a	s.-a	NOUN
ajst-8018	204	12	.	.	PUNCT
ajst-8018	205	1	ahmadi	ahmadi	PROPN
ajst-8018	205	2	,	,	PUNCT
ajst-8018	205	3	"	"	PUNCT
ajst-8018	205	4	v	v	NOUN
ajst-8018	205	5	-	-	PUNCT
ajst-8018	205	6	net	net	NOUN
ajst-8018	205	7	:	:	PUNCT
ajst-8018	205	8	fully	fully	ADV
ajst-8018	205	9	convolutional	convolutional	ADJ
ajst-8018	205	10	neural	neural	ADJ
ajst-8018	205	11	networks	network	NOUN
ajst-8018	205	12	for	for	ADP
ajst-8018	205	13	volumetric	volumetric	ADJ
ajst-8018	205	14	medical	medical	ADJ
ajst-8018	205	15	image	image	NOUN
ajst-8018	205	16	segmentation	segmentation	NOUN
ajst-8018	205	17	,	,	PUNCT
ajst-8018	205	18	"	"	PUNCT
ajst-8018	205	19	in	in	ADP
ajst-8018	205	20	2016	2016	NUM
ajst-8018	205	21	fourth	fourth	ADJ
ajst-8018	205	22	international	international	ADJ
ajst-8018	205	23	conference	conference	NOUN
ajst-8018	205	24	on	on	ADP
ajst-8018	205	25	3d	3d	PROPN
ajst-8018	205	26	vision	vision	NOUN
ajst-8018	205	27	(	(	PUNCT
ajst-8018	205	28	3dv	3dv	NOUN
ajst-8018	205	29	)	)	PUNCT
ajst-8018	205	30	,	,	PUNCT
ajst-8018	205	31	2016	2016	NUM
ajst-8018	205	32	:	:	PUNCT
ajst-8018	205	33	ieee	ieee	NOUN
ajst-8018	205	34	,	,	PUNCT
ajst-8018	205	35	pp	pp	ADJ
ajst-8018	205	36	.	.	PUNCT
ajst-8018	206	1	565	565	NUM
ajst-8018	206	2	-	-	SYM
ajst-8018	206	3	571	571	NUM
ajst-8018	206	4	.	.	PUNCT
ajst-8018	207	1	[	[	X
ajst-8018	207	2	15	15	NUM
ajst-8018	207	3	]	]	X
ajst-8018	207	4	x.	x.	NOUN
ajst-8018	207	5	li	li	PROPN
ajst-8018	207	6	,	,	PUNCT
ajst-8018	207	7	h.	h.	PROPN
ajst-8018	207	8	chen	chen	PROPN
ajst-8018	207	9	,	,	PUNCT
ajst-8018	207	10	x.	x.	PROPN
ajst-8018	207	11	qi	qi	PROPN
ajst-8018	207	12	,	,	PUNCT
ajst-8018	207	13	q.	q.	PROPN
ajst-8018	207	14	dou	dou	PROPN
ajst-8018	207	15	,	,	PUNCT
ajst-8018	207	16	c.-w	c.-w	PROPN
ajst-8018	207	17	.	.	PUNCT
ajst-8018	208	1	fu	fu	PROPN
ajst-8018	208	2	,	,	PUNCT
ajst-8018	208	3	and	and	CCONJ
ajst-8018	208	4	p.-a	p.-a	NOUN
ajst-8018	208	5	.	.	PUNCT
ajst-8018	209	1	heng	heng	PROPN
ajst-8018	209	2	,	,	PUNCT
ajst-8018	209	3	"	"	PUNCT
ajst-8018	209	4	hdenseunet	hdenseunet	NOUN
ajst-8018	209	5	:	:	PUNCT
ajst-8018	209	6	hybrid	hybrid	ADJ
ajst-8018	209	7	densely	densely	ADV
ajst-8018	209	8	connected	connect	VERB
ajst-8018	209	9	unet	unet	NOUN
ajst-8018	209	10	for	for	ADP
ajst-8018	209	11	liver	liver	NOUN
ajst-8018	209	12	and	and	CCONJ
ajst-8018	209	13	tumor	tumor	NOUN
ajst-8018	209	14	segmentation	segmentation	NOUN
ajst-8018	209	15	from	from	ADP
ajst-8018	209	16	ct	ct	NUM
ajst-8018	209	17	volumes	volume	NOUN
ajst-8018	209	18	,	,	PUNCT
ajst-8018	209	19	"	"	PUNCT
ajst-8018	209	20	ieee	ieee	NOUN
ajst-8018	209	21	transactions	transaction	NOUN
ajst-8018	209	22	on	on	ADP
ajst-8018	209	23	medical	medical	ADJ
ajst-8018	209	24	imaging	imaging	NOUN
ajst-8018	209	25	,	,	PUNCT
ajst-8018	209	26	vol	vol	NOUN
ajst-8018	209	27	.	.	PROPN
ajst-8018	209	28	37	37	NUM
ajst-8018	209	29	,	,	PUNCT
ajst-8018	209	30	no	no	INTJ
ajst-8018	209	31	.	.	NOUN
ajst-8018	209	32	12	12	NUM
ajst-8018	209	33	,	,	PUNCT
ajst-8018	209	34	pp	pp	ADJ
ajst-8018	209	35	.	.	PUNCT
ajst-8018	210	1	2663	2663	NUM
ajst-8018	210	2	-	-	SYM
ajst-8018	210	3	2674	2674	NUM
ajst-8018	210	4	,	,	PUNCT
ajst-8018	210	5	2018	2018	NUM
ajst-8018	210	6	.	.	PUNCT
ajst-8018	211	1	[	[	X
ajst-8018	211	2	16	16	NUM
ajst-8018	211	3	]	]	X
ajst-8018	211	4	g.	g.	PROPN
ajst-8018	211	5	huang	huang	PROPN
ajst-8018	211	6	,	,	PUNCT
ajst-8018	211	7	z.	z.	PROPN
ajst-8018	211	8	liu	liu	PROPN
ajst-8018	211	9	,	,	PUNCT
ajst-8018	211	10	l.	l.	PROPN
ajst-8018	211	11	van	van	PROPN
ajst-8018	211	12	der	der	PROPN
ajst-8018	211	13	maaten	maaten	VERB
ajst-8018	211	14	,	,	PUNCT
ajst-8018	211	15	and	and	CCONJ
ajst-8018	211	16	k.	k.	PROPN
ajst-8018	211	17	q.	q.	PROPN
ajst-8018	211	18	weinberger	weinberger	PROPN
ajst-8018	211	19	,	,	PUNCT
ajst-8018	211	20	"	"	PUNCT
ajst-8018	211	21	densely	densely	ADV
ajst-8018	211	22	connected	connected	ADJ
ajst-8018	211	23	convolutional	convolutional	ADJ
ajst-8018	211	24	networks	network	NOUN
ajst-8018	211	25	,	,	PUNCT
ajst-8018	211	26	"	"	PUNCT
ajst-8018	211	27	in	in	ADP
ajst-8018	211	28	proceedings	proceeding	NOUN
ajst-8018	211	29	of	of	ADP
ajst-8018	211	30	the	the	DET
ajst-8018	211	31	ieee	ieee	NOUN
ajst-8018	211	32	conference	conference	NOUN
ajst-8018	211	33	on	on	ADP
ajst-8018	211	34	computer	computer	NOUN
ajst-8018	211	35	vision	vision	NOUN
ajst-8018	211	36	and	and	CCONJ
ajst-8018	211	37	pattern	pattern	NOUN
ajst-8018	211	38	recognition	recognition	NOUN
ajst-8018	211	39	,	,	PUNCT
ajst-8018	211	40	2017	2017	NUM
ajst-8018	211	41	,	,	PUNCT
ajst-8018	211	42	pp	pp	ADJ
ajst-8018	211	43	.	.	PUNCT
ajst-8018	211	44	4700	4700	NUM
ajst-8018	211	45	-	-	SYM
ajst-8018	211	46	4708	4708	NUM
ajst-8018	211	47	.	.	PUNCT
ajst-8018	212	1	[	[	X
ajst-8018	212	2	17	17	NUM
ajst-8018	212	3	]	]	X
ajst-8018	212	4	h.	h.	PROPN
ajst-8018	212	5	li	li	PROPN
ajst-8018	212	6	and	and	CCONJ
ajst-8018	212	7	x.-j	x.-j	PROPN
ajst-8018	212	8	.	.	PUNCT
ajst-8018	213	1	wu	wu	PROPN
ajst-8018	213	2	,	,	PUNCT
ajst-8018	213	3	"	"	PUNCT
ajst-8018	213	4	densefuse	densefuse	NOUN
ajst-8018	213	5	:	:	PUNCT
ajst-8018	213	6	a	a	DET
ajst-8018	213	7	fusion	fusion	NOUN
ajst-8018	213	8	approach	approach	NOUN
ajst-8018	213	9	to	to	ADP
ajst-8018	213	10	infrared	infrared	ADJ
ajst-8018	213	11	and	and	CCONJ
ajst-8018	213	12	visible	visible	ADJ
ajst-8018	213	13	images	image	NOUN
ajst-8018	213	14	,	,	PUNCT
ajst-8018	213	15	"	"	PUNCT
ajst-8018	213	16	ieee	ieee	NOUN
ajst-8018	213	17	transactions	transaction	NOUN
ajst-8018	213	18	on	on	ADP
ajst-8018	213	19	image	image	NOUN
ajst-8018	213	20	processing	processing	NOUN
ajst-8018	213	21	,	,	PUNCT
ajst-8018	213	22	vol	vol	NOUN
ajst-8018	213	23	.	.	PROPN
ajst-8018	214	1	28	28	NUM
ajst-8018	214	2	,	,	PUNCT
ajst-8018	214	3	no	no	INTJ
ajst-8018	214	4	.	.	NOUN
ajst-8018	214	5	5	5	NUM
ajst-8018	214	6	,	,	PUNCT
ajst-8018	214	7	pp	pp	ADJ
ajst-8018	214	8	.	.	PUNCT
ajst-8018	215	1	2614	2614	NUM
ajst-8018	215	2	-	-	SYM
ajst-8018	215	3	2623	2623	NUM
ajst-8018	215	4	,	,	PUNCT
ajst-8018	215	5	2018	2018	NUM
ajst-8018	215	6	.	.	PUNCT
ajst-8018	216	1	[	[	X
ajst-8018	216	2	18	18	NUM
ajst-8018	216	3	]	]	PUNCT
ajst-8018	216	4	x.	x.	NOUN
ajst-8018	216	5	song	song	PROPN
ajst-8018	216	6	,	,	PUNCT
ajst-8018	216	7	x.-j	x.-j	PROPN
ajst-8018	216	8	.	.	PUNCT
ajst-8018	217	1	wu	wu	PROPN
ajst-8018	217	2	,	,	PUNCT
ajst-8018	217	3	and	and	CCONJ
ajst-8018	217	4	h.	h.	PROPN
ajst-8018	217	5	li	li	PROPN
ajst-8018	217	6	,	,	PUNCT
ajst-8018	217	7	"	"	PUNCT
ajst-8018	217	8	msdnet	msdnet	NOUN
ajst-8018	217	9	for	for	ADP
ajst-8018	217	10	medical	medical	ADJ
ajst-8018	217	11	image	image	NOUN
ajst-8018	217	12	fusion	fusion	NOUN
ajst-8018	217	13	,	,	PUNCT
ajst-8018	217	14	"	"	PUNCT
ajst-8018	217	15	in	in	ADP
ajst-8018	217	16	international	international	ADJ
ajst-8018	217	17	conference	conference	NOUN
ajst-8018	217	18	on	on	ADP
ajst-8018	217	19	image	image	NOUN
ajst-8018	217	20	and	and	CCONJ
ajst-8018	217	21	graphics	graphic	NOUN
ajst-8018	217	22	,	,	PUNCT
ajst-8018	217	23	2019	2019	NUM
ajst-8018	217	24	:	:	PUNCT
ajst-8018	217	25	springer	springer	NOUN
ajst-8018	217	26	,	,	PUNCT
ajst-8018	217	27	pp	pp	PROPN
ajst-8018	217	28	.	.	PUNCT
ajst-8018	218	1	278	278	NUM
ajst-8018	218	2	-	-	SYM
ajst-8018	218	3	288	288	NUM
ajst-8018	218	4	.	.	PUNCT
ajst-8018	219	1	[	[	X
ajst-8018	219	2	19	19	NUM
ajst-8018	219	3	]	]	X
ajst-8018	219	4	c.	c.	PROPN
ajst-8018	219	5	zhao	zhao	PROPN
ajst-8018	219	6	,	,	PUNCT
ajst-8018	219	7	t.	t.	PROPN
ajst-8018	219	8	wang	wang	PROPN
ajst-8018	219	9	,	,	PUNCT
ajst-8018	219	10	and	and	CCONJ
ajst-8018	219	11	b.	b.	PROPN
ajst-8018	219	12	lei	lei	PROPN
ajst-8018	219	13	,	,	PUNCT
ajst-8018	219	14	"	"	PUNCT
ajst-8018	219	15	medical	medical	ADJ
ajst-8018	219	16	image	image	NOUN
ajst-8018	219	17	fusion	fusion	NOUN
ajst-8018	219	18	method	method	NOUN
ajst-8018	219	19	based	base	VERB
ajst-8018	219	20	on	on	ADP
ajst-8018	219	21	dense	dense	ADJ
ajst-8018	219	22	block	block	NOUN
ajst-8018	219	23	and	and	CCONJ
ajst-8018	219	24	deep	deep	ADJ
ajst-8018	219	25	convolutional	convolutional	ADJ
ajst-8018	219	26	generative	generative	ADJ
ajst-8018	219	27	adversarial	adversarial	ADJ
ajst-8018	219	28	network	network	NOUN
ajst-8018	219	29	,	,	PUNCT
ajst-8018	219	30	"	"	PUNCT
ajst-8018	219	31	neural	neural	ADJ
ajst-8018	219	32	computing	computing	NOUN
ajst-8018	219	33	and	and	CCONJ
ajst-8018	219	34	applications	application	NOUN
ajst-8018	219	35	,	,	PUNCT
ajst-8018	219	36	vol	vol	NOUN
ajst-8018	219	37	.	.	PROPN
ajst-8018	219	38	33	33	NUM
ajst-8018	219	39	,	,	PUNCT
ajst-8018	219	40	no	no	INTJ
ajst-8018	219	41	.	.	NOUN
ajst-8018	219	42	12	12	NUM
ajst-8018	219	43	,	,	PUNCT
ajst-8018	219	44	pp	pp	ADJ
ajst-8018	219	45	.	.	PUNCT
ajst-8018	220	1	6595	6595	NUM
ajst-8018	220	2	-	-	SYM
ajst-8018	220	3	6610	6610	NUM
ajst-8018	220	4	,	,	PUNCT
ajst-8018	220	5	2021	2021	NUM
ajst-8018	220	6	.	.	PUNCT
ajst-8018	221	1	230	230	NUM
ajst-8018	221	2	[	[	SYM
ajst-8018	221	3	20	20	NUM
ajst-8018	221	4	]	]	PUNCT
ajst-8018	221	5	k.	k.	NOUN
ajst-8018	221	6	bousmalis	bousmalis	PROPN
ajst-8018	221	7	,	,	PUNCT
ajst-8018	221	8	g.	g.	PROPN
ajst-8018	221	9	trigeorgis	trigeorgis	PROPN
ajst-8018	221	10	,	,	PUNCT
ajst-8018	221	11	n.	n.	PROPN
ajst-8018	221	12	silberman	silberman	NOUN
ajst-8018	221	13	,	,	PUNCT
ajst-8018	221	14	d.	d.	PROPN
ajst-8018	221	15	krishnan	krishnan	PROPN
ajst-8018	221	16	,	,	PUNCT
ajst-8018	221	17	and	and	CCONJ
ajst-8018	221	18	d.	d.	PROPN
ajst-8018	221	19	erhan	erhan	PROPN
ajst-8018	221	20	,	,	PUNCT
ajst-8018	221	21	"	"	PUNCT
ajst-8018	221	22	domain	domain	NOUN
ajst-8018	221	23	separation	separation	NOUN
ajst-8018	221	24	networks	network	NOUN
ajst-8018	221	25	,	,	PUNCT
ajst-8018	221	26	"	"	PUNCT
ajst-8018	221	27	advances	advance	NOUN
ajst-8018	221	28	in	in	ADP
ajst-8018	221	29	neural	neural	ADJ
ajst-8018	221	30	information	information	NOUN
ajst-8018	221	31	processing	processing	NOUN
ajst-8018	221	32	systems	system	NOUN
ajst-8018	221	33	,	,	PUNCT
ajst-8018	221	34	vol	vol	NOUN
ajst-8018	221	35	.	.	PROPN
ajst-8018	221	36	29	29	NUM
ajst-8018	221	37	,	,	PUNCT
ajst-8018	221	38	2016	2016	NUM
ajst-8018	221	39	.	.	PUNCT
ajst-8018	222	1	[	[	X
ajst-8018	222	2	21	21	NUM
ajst-8018	222	3	]	]	X
ajst-8018	222	4	f.	f.	PROPN
ajst-8018	222	5	lahoud	lahoud	PROPN
ajst-8018	222	6	and	and	CCONJ
ajst-8018	222	7	s.	s.	PROPN
ajst-8018	222	8	süsstrunk	süsstrunk	PROPN
ajst-8018	222	9	,	,	PUNCT
ajst-8018	222	10	"	"	PUNCT
ajst-8018	222	11	zero	zero	NUM
ajst-8018	222	12	-	-	PUNCT
ajst-8018	222	13	learning	learn	VERB
ajst-8018	222	14	fast	fast	ADJ
ajst-8018	222	15	medical	medical	ADJ
ajst-8018	222	16	image	image	NOUN
ajst-8018	222	17	fusion	fusion	NOUN
ajst-8018	222	18	,	,	PUNCT
ajst-8018	222	19	"	"	PUNCT
ajst-8018	222	20	in	in	ADP
ajst-8018	222	21	2019	2019	NUM
ajst-8018	222	22	22th	22th	ADJ
ajst-8018	222	23	international	international	ADJ
ajst-8018	222	24	conference	conference	NOUN
ajst-8018	222	25	on	on	ADP
ajst-8018	222	26	information	information	NOUN
ajst-8018	222	27	fusion	fusion	NOUN
ajst-8018	222	28	(	(	PUNCT
ajst-8018	222	29	fusion	fusion	NOUN
ajst-8018	222	30	)	)	PUNCT
ajst-8018	222	31	,	,	PUNCT
ajst-8018	222	32	2019	2019	NUM
ajst-8018	222	33	:	:	PUNCT
ajst-8018	222	34	ieee	ieee	NOUN
ajst-8018	222	35	,	,	PUNCT
ajst-8018	222	36	pp	pp	ADJ
ajst-8018	222	37	.	.	PUNCT
ajst-8018	223	1	1	1	NUM
ajst-8018	223	2	-	-	SYM
ajst-8018	223	3	8	8	NUM
ajst-8018	223	4	.	.	PUNCT
ajst-8018	224	1	[	[	X
ajst-8018	224	2	22	22	NUM
ajst-8018	224	3	]	]	X
ajst-8018	224	4	h.	h.	PROPN
ajst-8018	224	5	hermessi	hermessi	PROPN
ajst-8018	224	6	,	,	PUNCT
ajst-8018	224	7	o.	o.	PROPN
ajst-8018	224	8	mourali	mourali	PROPN
ajst-8018	224	9	,	,	PUNCT
ajst-8018	224	10	and	and	CCONJ
ajst-8018	224	11	e.	e.	PROPN
ajst-8018	224	12	zagrouba	zagrouba	PROPN
ajst-8018	224	13	,	,	PUNCT
ajst-8018	224	14	"	"	PUNCT
ajst-8018	224	15	convolutional	convolutional	ADJ
ajst-8018	224	16	neural	neural	ADJ
ajst-8018	224	17	network	network	NOUN
ajst-8018	224	18	-	-	PUNCT
ajst-8018	224	19	based	base	VERB
ajst-8018	224	20	multimodal	multimodal	NOUN
ajst-8018	224	21	image	image	NOUN
ajst-8018	224	22	fusion	fusion	NOUN
ajst-8018	224	23	via	via	ADP
ajst-8018	224	24	similarity	similarity	NOUN
ajst-8018	224	25	learning	learning	NOUN
ajst-8018	224	26	in	in	ADP
ajst-8018	224	27	the	the	DET
ajst-8018	224	28	shearlet	shearlet	ADJ
ajst-8018	224	29	domain	domain	NOUN
ajst-8018	224	30	,	,	PUNCT
ajst-8018	224	31	"	"	PUNCT
ajst-8018	224	32	neural	neural	ADJ
ajst-8018	224	33	computing	computing	NOUN
ajst-8018	224	34	and	and	CCONJ
ajst-8018	224	35	applications	application	NOUN
ajst-8018	224	36	,	,	PUNCT
ajst-8018	224	37	vol	vol	NOUN
ajst-8018	224	38	.	.	PROPN
ajst-8018	224	39	30	30	NUM
ajst-8018	224	40	,	,	PUNCT
ajst-8018	224	41	no	no	INTJ
ajst-8018	224	42	.	.	NOUN
ajst-8018	224	43	7	7	NUM
ajst-8018	224	44	,	,	PUNCT
ajst-8018	224	45	pp	pp	ADJ
ajst-8018	224	46	.	.	PUNCT
ajst-8018	225	1	2029	2029	NUM
ajst-8018	225	2	-	-	SYM
ajst-8018	225	3	2045	2045	NUM
ajst-8018	225	4	,	,	PUNCT
ajst-8018	225	5	2018	2018	NUM
ajst-8018	225	6	.	.	PUNCT
ajst-8018	226	1	[	[	X
ajst-8018	226	2	23	23	NUM
ajst-8018	226	3	]	]	X
ajst-8018	226	4	y.	y.	PROPN
ajst-8018	226	5	wang	wang	PROPN
ajst-8018	226	6	,	,	PUNCT
ajst-8018	226	7	c.	c.	PROPN
ajst-8018	226	8	wu	wu	PROPN
ajst-8018	226	9	,	,	PUNCT
ajst-8018	226	10	l.	l.	PROPN
ajst-8018	226	11	herranz	herranz	PROPN
ajst-8018	226	12	,	,	PUNCT
ajst-8018	226	13	j.	j.	PROPN
ajst-8018	226	14	van	van	PROPN
ajst-8018	226	15	de	de	PROPN
ajst-8018	226	16	weijer	weijer	PROPN
ajst-8018	226	17	,	,	PUNCT
ajst-8018	226	18	a.	a.	NOUN
ajst-8018	226	19	gonzalezgarcia	gonzalezgarcia	PROPN
ajst-8018	226	20	,	,	PUNCT
ajst-8018	226	21	and	and	CCONJ
ajst-8018	226	22	b.	b.	PROPN
ajst-8018	226	23	raducanu	raducanu	PROPN
ajst-8018	226	24	,	,	PUNCT
ajst-8018	226	25	"	"	PUNCT
ajst-8018	226	26	transferring	transfer	VERB
ajst-8018	226	27	gans	gan	NOUN
ajst-8018	226	28	:	:	PUNCT
ajst-8018	226	29	generating	generate	VERB
ajst-8018	226	30	images	image	NOUN
ajst-8018	226	31	from	from	ADP
ajst-8018	226	32	limited	limited	ADJ
ajst-8018	226	33	data	datum	NOUN
ajst-8018	226	34	,	,	PUNCT
ajst-8018	226	35	"	"	PUNCT
ajst-8018	226	36	in	in	ADP
ajst-8018	226	37	proceedings	proceeding	NOUN
ajst-8018	226	38	of	of	ADP
ajst-8018	226	39	the	the	DET
ajst-8018	226	40	european	european	PROPN
ajst-8018	226	41	conference	conference	PROPN
ajst-8018	226	42	on	on	ADP
ajst-8018	226	43	computer	computer	NOUN
ajst-8018	226	44	vision	vision	NOUN
ajst-8018	226	45	(	(	PUNCT
ajst-8018	226	46	eccv	eccv	ADV
ajst-8018	226	47	)	)	PUNCT
ajst-8018	226	48	,	,	PUNCT
ajst-8018	226	49	2018	2018	NUM
ajst-8018	226	50	,	,	PUNCT
ajst-8018	226	51	pp	pp	ADJ
ajst-8018	226	52	.	.	PUNCT
ajst-8018	227	1	218	218	NUM
ajst-8018	227	2	-	-	SYM
ajst-8018	227	3	234	234	NUM
ajst-8018	227	4	.	.	PUNCT
ajst-8018	228	1	[	[	X
ajst-8018	228	2	24	24	NUM
ajst-8018	228	3	]	]	PUNCT
ajst-8018	228	4	l.	l.	PROPN
ajst-8018	228	5	perez	perez	PROPN
ajst-8018	228	6	and	and	CCONJ
ajst-8018	228	7	j.	j.	PROPN
ajst-8018	228	8	wang	wang	PROPN
ajst-8018	228	9	,	,	PUNCT
ajst-8018	228	10	"	"	PUNCT
ajst-8018	228	11	the	the	DET
ajst-8018	228	12	effectiveness	effectiveness	NOUN
ajst-8018	228	13	of	of	ADP
ajst-8018	228	14	data	datum	NOUN
ajst-8018	228	15	augmentation	augmentation	NOUN
ajst-8018	228	16	in	in	ADP
ajst-8018	228	17	image	image	NOUN
ajst-8018	228	18	classification	classification	NOUN
ajst-8018	228	19	using	use	VERB
ajst-8018	228	20	deep	deep	ADJ
ajst-8018	228	21	learning	learning	NOUN
ajst-8018	228	22	,	,	PUNCT
ajst-8018	228	23	"	"	PUNCT
ajst-8018	228	24	arxiv	arxiv	PROPN
ajst-8018	228	25	preprint	preprint	NOUN
ajst-8018	228	26	arxiv:1712.04621	arxiv:1712.04621	NUM
ajst-8018	228	27	,	,	PUNCT
ajst-8018	228	28	2017	2017	NUM
ajst-8018	228	29	.	.	PUNCT
ajst-8018	229	1	[	[	X
ajst-8018	229	2	25	25	NUM
ajst-8018	229	3	]	]	X
ajst-8018	229	4	y.	y.	PROPN
ajst-8018	229	5	guo	guo	PROPN
ajst-8018	229	6	et	et	PROPN
ajst-8018	229	7	al	al	PROPN
ajst-8018	229	8	.	.	PROPN
ajst-8018	229	9	,	,	PUNCT
ajst-8018	229	10	"	"	PUNCT
ajst-8018	229	11	segmenting	segment	VERB
ajst-8018	229	12	hippocampus	hippocampus	NOUN
ajst-8018	229	13	from	from	ADP
ajst-8018	229	14	infant	infant	NOUN
ajst-8018	229	15	brains	brain	NOUN
ajst-8018	229	16	by	by	ADP
ajst-8018	229	17	sparse	sparse	ADJ
ajst-8018	229	18	patch	patch	NOUN
ajst-8018	229	19	matching	match	VERB
ajst-8018	229	20	with	with	ADP
ajst-8018	229	21	deep	deep	ADV
ajst-8018	229	22	-	-	PUNCT
ajst-8018	229	23	learned	learn	VERB
ajst-8018	229	24	features	feature	NOUN
ajst-8018	229	25	,	,	PUNCT
ajst-8018	229	26	"	"	PUNCT
ajst-8018	229	27	in	in	ADP
ajst-8018	229	28	international	international	ADJ
ajst-8018	229	29	conference	conference	NOUN
ajst-8018	229	30	on	on	ADP
ajst-8018	229	31	medical	medical	ADJ
ajst-8018	229	32	image	image	NOUN
ajst-8018	229	33	computing	computing	NOUN
ajst-8018	229	34	and	and	CCONJ
ajst-8018	229	35	computer	computer	NOUN
ajst-8018	229	36	-	-	PUNCT
ajst-8018	229	37	assisted	assist	VERB
ajst-8018	229	38	intervention	intervention	NOUN
ajst-8018	229	39	,	,	PUNCT
ajst-8018	229	40	2014	2014	NUM
ajst-8018	229	41	:	:	PUNCT
ajst-8018	229	42	springer	springer	NOUN
ajst-8018	229	43	,	,	PUNCT
ajst-8018	229	44	pp	pp	ADP
ajst-8018	229	45	.	.	PUNCT
ajst-8018	230	1	308	308	NUM
ajst-8018	230	2	-	-	SYM
ajst-8018	230	3	315	315	NUM
ajst-8018	230	4	.	.	PUNCT
ajst-8018	231	1	[	[	X
ajst-8018	231	2	26	26	NUM
ajst-8018	231	3	]	]	PUNCT
ajst-8018	231	4	z.	z.	PROPN
ajst-8018	231	5	huang	huang	PROPN
ajst-8018	231	6	,	,	PUNCT
ajst-8018	231	7	x.	x.	PROPN
ajst-8018	231	8	wang	wang	PROPN
ajst-8018	231	9	,	,	PUNCT
ajst-8018	231	10	l.	l.	PROPN
ajst-8018	231	11	huang	huang	PROPN
ajst-8018	231	12	,	,	PUNCT
ajst-8018	231	13	c.	c.	PROPN
ajst-8018	231	14	huang	huang	PROPN
ajst-8018	231	15	,	,	PUNCT
ajst-8018	231	16	y.	y.	PROPN
ajst-8018	231	17	wei	wei	PROPN
ajst-8018	231	18	,	,	PUNCT
ajst-8018	231	19	and	and	CCONJ
ajst-8018	231	20	w.	w.	PROPN
ajst-8018	231	21	liu	liu	PROPN
ajst-8018	231	22	,	,	PUNCT
ajst-8018	231	23	"	"	PUNCT
ajst-8018	231	24	ccnet	ccnet	ADV
ajst-8018	231	25	:	:	PUNCT
ajst-8018	231	26	criss	criss	ADJ
ajst-8018	231	27	-	-	PUNCT
ajst-8018	231	28	cross	cross	NOUN
ajst-8018	231	29	attention	attention	NOUN
ajst-8018	231	30	for	for	ADP
ajst-8018	231	31	semantic	semantic	ADJ
ajst-8018	231	32	segmentation	segmentation	NOUN
ajst-8018	231	33	,	,	PUNCT
ajst-8018	231	34	"	"	PUNCT
ajst-8018	231	35	in	in	ADP
ajst-8018	231	36	proceedings	proceeding	NOUN
ajst-8018	231	37	of	of	ADP
ajst-8018	231	38	the	the	DET
ajst-8018	231	39	ieee	ieee	NOUN
ajst-8018	231	40	/	/	SYM
ajst-8018	231	41	cvf	cvf	NOUN
ajst-8018	231	42	international	international	ADJ
ajst-8018	231	43	conference	conference	NOUN
ajst-8018	231	44	on	on	ADP
ajst-8018	231	45	computer	computer	NOUN
ajst-8018	231	46	vision	vision	NOUN
ajst-8018	231	47	,	,	PUNCT
ajst-8018	231	48	2019	2019	NUM
ajst-8018	231	49	,	,	PUNCT
ajst-8018	231	50	pp	pp	ADV
ajst-8018	231	51	.	.	PUNCT
ajst-8018	232	1	603	603	NUM
ajst-8018	232	2	-	-	SYM
ajst-8018	232	3	612	612	NUM
ajst-8018	232	4	.	.	PUNCT
ajst-8018	233	1	[	[	X
ajst-8018	233	2	27	27	NUM
ajst-8018	233	3	]	]	X
ajst-8018	233	4	h.	h.	PROPN
ajst-8018	233	5	zhang	zhang	PROPN
ajst-8018	233	6	,	,	PUNCT
ajst-8018	233	7	m.	m.	NOUN
ajst-8018	233	8	cisse	cisse	PROPN
ajst-8018	233	9	,	,	PUNCT
ajst-8018	233	10	y.	y.	PROPN
ajst-8018	233	11	n.	n.	PROPN
ajst-8018	233	12	dauphin	dauphin	PROPN
ajst-8018	233	13	,	,	PUNCT
ajst-8018	233	14	and	and	CCONJ
ajst-8018	233	15	d.	d.	PROPN
ajst-8018	233	16	lopez	lopez	PROPN
ajst-8018	233	17	-	-	PUNCT
ajst-8018	233	18	paz	paz	PROPN
ajst-8018	233	19	,	,	PUNCT
ajst-8018	233	20	"	"	PUNCT
ajst-8018	233	21	mixup	mixup	NOUN
ajst-8018	233	22	:	:	PUNCT
ajst-8018	233	23	beyond	beyond	ADP
ajst-8018	233	24	empirical	empirical	ADJ
ajst-8018	233	25	risk	risk	NOUN
ajst-8018	233	26	minimization	minimization	NOUN
ajst-8018	233	27	,	,	PUNCT
ajst-8018	233	28	"	"	PUNCT
ajst-8018	233	29	arxiv	arxiv	PROPN
ajst-8018	233	30	preprint	preprint	NOUN
ajst-8018	233	31	arxiv:1710.09412	arxiv:1710.09412	NOUN
ajst-8018	233	32	,	,	PUNCT
ajst-8018	233	33	2017	2017	NUM
ajst-8018	233	34	.	.	PUNCT
ajst-8018	234	1	[	[	X
ajst-8018	234	2	28	28	NUM
ajst-8018	234	3	]	]	X
ajst-8018	234	4	x.	x.	PROPN
ajst-8018	234	5	liang	liang	PROPN
ajst-8018	234	6	,	,	PUNCT
ajst-8018	234	7	p.	p.	PROPN
ajst-8018	234	8	hu	hu	PROPN
ajst-8018	234	9	,	,	PUNCT
ajst-8018	234	10	l.	l.	PROPN
ajst-8018	234	11	zhang	zhang	PROPN
ajst-8018	234	12	,	,	PUNCT
ajst-8018	234	13	j.	j.	PROPN
ajst-8018	234	14	sun	sun	PROPN
ajst-8018	234	15	,	,	PUNCT
ajst-8018	234	16	and	and	CCONJ
ajst-8018	234	17	g.	g.	PROPN
ajst-8018	234	18	yin	yin	PROPN
ajst-8018	234	19	,	,	PUNCT
ajst-8018	234	20	"	"	PUNCT
ajst-8018	234	21	mcfnet	mcfnet	NOUN
ajst-8018	234	22	:	:	PUNCT
ajst-8018	234	23	multi	multi	ADJ
ajst-8018	234	24	-	-	ADJ
ajst-8018	234	25	layer	layer	ADJ
ajst-8018	234	26	concatenation	concatenation	NOUN
ajst-8018	234	27	fusion	fusion	NOUN
ajst-8018	234	28	network	network	NOUN
ajst-8018	234	29	for	for	ADP
ajst-8018	234	30	medical	medical	ADJ
ajst-8018	234	31	images	image	NOUN
ajst-8018	234	32	fusion	fusion	NOUN
ajst-8018	234	33	,	,	PUNCT
ajst-8018	234	34	"	"	PUNCT
ajst-8018	234	35	ieee	ieee	NOUN
ajst-8018	234	36	sensors	sensor	NOUN
ajst-8018	234	37	journal	journal	PROPN
ajst-8018	234	38	,	,	PUNCT
ajst-8018	234	39	vol	vol	NOUN
ajst-8018	234	40	.	.	PROPN
ajst-8018	234	41	19	19	NUM
ajst-8018	234	42	,	,	PUNCT
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ajst-8018	234	44	.	.	NOUN
ajst-8018	234	45	16	16	NUM
ajst-8018	234	46	,	,	PUNCT
ajst-8018	234	47	pp	pp	ADJ
ajst-8018	234	48	.	.	PUNCT
ajst-8018	235	1	7107	7107	NUM
ajst-8018	235	2	-	-	SYM
ajst-8018	235	3	7119	7119	NUM
ajst-8018	235	4	,	,	PUNCT
ajst-8018	235	5	2019	2019	NUM
ajst-8018	235	6	.	.	PUNCT
ajst-8018	236	1	[	[	X
ajst-8018	236	2	29	29	NUM
ajst-8018	236	3	]	]	PUNCT
ajst-8018	236	4	z.	z.	PROPN
ajst-8018	236	5	liu	liu	PROPN
ajst-8018	236	6	et	et	PROPN
ajst-8018	236	7	al	al	PROPN
ajst-8018	236	8	.	.	PROPN
ajst-8018	236	9	,	,	PUNCT
ajst-8018	236	10	"	"	PUNCT
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ajst-8018	236	12	diagnosis	diagnosis	NOUN
ajst-8018	236	13	of	of	ADP
ajst-8018	236	14	fungal	fungal	ADJ
ajst-8018	236	15	keratitis	keratitis	NOUN
ajst-8018	236	16	using	use	VERB
ajst-8018	236	17	data	datum	NOUN
ajst-8018	236	18	augmentation	augmentation	NOUN
ajst-8018	236	19	and	and	CCONJ
ajst-8018	236	20	image	image	NOUN
ajst-8018	236	21	fusion	fusion	NOUN
ajst-8018	236	22	with	with	ADP
ajst-8018	236	23	deep	deep	ADJ
ajst-8018	236	24	convolutional	convolutional	ADJ
ajst-8018	236	25	neural	neural	ADJ
ajst-8018	236	26	network	network	NOUN
ajst-8018	236	27	,	,	PUNCT
ajst-8018	236	28	"	"	PUNCT
ajst-8018	236	29	computer	computer	NOUN
ajst-8018	236	30	methods	method	NOUN
ajst-8018	236	31	and	and	CCONJ
ajst-8018	236	32	programs	program	NOUN
ajst-8018	236	33	in	in	ADP
ajst-8018	236	34	biomedicine	biomedicine	NOUN
ajst-8018	236	35	,	,	PUNCT
ajst-8018	236	36	vol	vol	NOUN
ajst-8018	236	37	.	.	PROPN
ajst-8018	236	38	187	187	NUM
ajst-8018	236	39	,	,	PUNCT
ajst-8018	236	40	p.	p.	NOUN
ajst-8018	236	41	105019	105019	NUM
ajst-8018	236	42	,	,	PUNCT
ajst-8018	236	43	2020	2020	NUM
ajst-8018	236	44	.	.	PUNCT
ajst-8018	237	1	[	[	X
ajst-8018	237	2	30	30	NUM
ajst-8018	237	3	]	]	X
ajst-8018	237	4	p.	p.	PROPN
ajst-8018	237	5	isola	isola	PROPN
ajst-8018	237	6	,	,	PUNCT
ajst-8018	237	7	j.-y	j.-y	PROPN
ajst-8018	237	8	.	.	PUNCT
ajst-8018	238	1	zhu	zhu	PROPN
ajst-8018	238	2	,	,	PUNCT
ajst-8018	238	3	t.	t.	PROPN
ajst-8018	238	4	zhou	zhou	PROPN
ajst-8018	238	5	,	,	PUNCT
ajst-8018	238	6	and	and	CCONJ
ajst-8018	238	7	a.	a.	NOUN
ajst-8018	238	8	a.	a.	PROPN
ajst-8018	238	9	efros	efros	PROPN
ajst-8018	238	10	,	,	PUNCT
ajst-8018	238	11	"	"	PUNCT
ajst-8018	238	12	image	image	NOUN
ajst-8018	238	13	-	-	PUNCT
ajst-8018	238	14	to	to	ADP
ajst-8018	238	15	-	-	PUNCT
ajst-8018	238	16	image	image	NOUN
ajst-8018	238	17	translation	translation	NOUN
ajst-8018	238	18	with	with	ADP
ajst-8018	238	19	conditional	conditional	ADJ
ajst-8018	238	20	adversarial	adversarial	ADJ
ajst-8018	238	21	networks	network	NOUN
ajst-8018	238	22	,	,	PUNCT
ajst-8018	238	23	"	"	PUNCT
ajst-8018	238	24	in	in	ADP
ajst-8018	238	25	proceedings	proceeding	NOUN
ajst-8018	238	26	of	of	ADP
ajst-8018	238	27	the	the	DET
ajst-8018	238	28	ieee	ieee	NOUN
ajst-8018	238	29	conference	conference	NOUN
ajst-8018	238	30	on	on	ADP
ajst-8018	238	31	computer	computer	NOUN
ajst-8018	238	32	vision	vision	NOUN
ajst-8018	238	33	and	and	CCONJ
ajst-8018	238	34	pattern	pattern	NOUN
ajst-8018	238	35	recognition	recognition	NOUN
ajst-8018	238	36	,	,	PUNCT
ajst-8018	238	37	2017	2017	NUM
ajst-8018	238	38	,	,	PUNCT
ajst-8018	238	39	pp	pp	ADJ
ajst-8018	238	40	.	.	PUNCT
ajst-8018	239	1	1125	1125	NUM
ajst-8018	239	2	-	-	SYM
ajst-8018	239	3	1134	1134	NUM
ajst-8018	239	4	.	.	PUNCT
ajst-8018	240	1	[	[	X
ajst-8018	240	2	31	31	NUM
ajst-8018	240	3	]	]	PUNCT
ajst-8018	240	4	a.	a.	NOUN
ajst-8018	240	5	vaswani	vaswani	PROPN
ajst-8018	240	6	et	et	PROPN
ajst-8018	240	7	al	al	PROPN
ajst-8018	240	8	.	.	PROPN
ajst-8018	240	9	,	,	PUNCT
ajst-8018	240	10	"	"	PUNCT
ajst-8018	240	11	attention	attention	NOUN
ajst-8018	240	12	is	be	AUX
ajst-8018	240	13	all	all	PRON
ajst-8018	240	14	you	you	PRON
ajst-8018	240	15	need	need	VERB
ajst-8018	240	16	,	,	PUNCT
ajst-8018	240	17	"	"	PUNCT
ajst-8018	240	18	advances	advance	NOUN
ajst-8018	240	19	in	in	ADP
ajst-8018	240	20	neural	neural	ADJ
ajst-8018	240	21	information	information	NOUN
ajst-8018	240	22	processing	processing	NOUN
ajst-8018	240	23	systems	system	NOUN
ajst-8018	240	24	,	,	PUNCT
ajst-8018	240	25	vol	vol	NOUN
ajst-8018	240	26	.	.	PROPN
ajst-8018	240	27	30	30	NUM
ajst-8018	240	28	,	,	PUNCT
ajst-8018	240	29	2017	2017	NUM
ajst-8018	240	30	.	.	PUNCT
ajst-8018	241	1	[	[	X
ajst-8018	241	2	32	32	NUM
ajst-8018	241	3	]	]	PUNCT
ajst-8018	241	4	z.	z.	PROPN
ajst-8018	241	5	dai	dai	PROPN
ajst-8018	241	6	,	,	PUNCT
ajst-8018	241	7	z.	z.	PROPN
ajst-8018	241	8	yang	yang	PROPN
ajst-8018	241	9	,	,	PUNCT
ajst-8018	241	10	y.	y.	PROPN
ajst-8018	241	11	yang	yang	PROPN
ajst-8018	241	12	,	,	PUNCT
ajst-8018	241	13	j.	j.	PROPN
ajst-8018	241	14	carbonell	carbonell	PROPN
ajst-8018	241	15	,	,	PUNCT
ajst-8018	241	16	q.	q.	PROPN
ajst-8018	241	17	v.	v.	CCONJ
ajst-8018	241	18	le	le	PROPN
ajst-8018	241	19	,	,	PUNCT
ajst-8018	241	20	and	and	CCONJ
ajst-8018	241	21	r.	r.	PROPN
ajst-8018	241	22	salakhutdinov	salakhutdinov	PROPN
ajst-8018	241	23	,	,	PUNCT
ajst-8018	241	24	"	"	PUNCT
ajst-8018	241	25	transformer	transformer	NOUN
ajst-8018	241	26	-	-	PUNCT
ajst-8018	241	27	xl	xl	NOUN
ajst-8018	241	28	:	:	PUNCT
ajst-8018	241	29	attentive	attentive	ADJ
ajst-8018	241	30	language	language	NOUN
ajst-8018	241	31	models	model	NOUN
ajst-8018	241	32	beyond	beyond	ADP
ajst-8018	241	33	a	a	DET
ajst-8018	241	34	fixed	fix	VERB
ajst-8018	241	35	-	-	PUNCT
ajst-8018	241	36	length	length	NOUN
ajst-8018	241	37	context	context	NOUN
ajst-8018	241	38	,	,	PUNCT
ajst-8018	241	39	"	"	PUNCT
ajst-8018	241	40	arxiv	arxiv	PROPN
ajst-8018	241	41	preprint	preprint	NOUN
ajst-8018	241	42	arxiv:1901.02860	arxiv:1901.02860	PROPN
ajst-8018	241	43	,	,	PUNCT
ajst-8018	241	44	2019	2019	NUM
ajst-8018	241	45	.	.	PUNCT
ajst-8018	242	1	[	[	X
ajst-8018	242	2	33	33	NUM
ajst-8018	242	3	]	]	X
ajst-8018	242	4	v.	v.	ADP
ajst-8018	242	5	vs	vs	ADP
ajst-8018	242	6	,	,	PUNCT
ajst-8018	242	7	j.	j.	PROPN
ajst-8018	242	8	m.	m.	PROPN
ajst-8018	242	9	j.	j.	PROPN
ajst-8018	242	10	valanarasu	valanarasu	PROPN
ajst-8018	242	11	,	,	PUNCT
ajst-8018	242	12	p.	p.	NOUN
ajst-8018	242	13	oza	oza	PROPN
ajst-8018	242	14	,	,	PUNCT
ajst-8018	242	15	and	and	CCONJ
ajst-8018	242	16	v.	v.	ADP
ajst-8018	242	17	m.	m.	NOUN
ajst-8018	242	18	patel	patel	PROPN
ajst-8018	242	19	,	,	PUNCT
ajst-8018	242	20	"	"	PUNCT
ajst-8018	242	21	image	image	NOUN
ajst-8018	242	22	fusion	fusion	NOUN
ajst-8018	242	23	transformer	transformer	NOUN
ajst-8018	242	24	,	,	PUNCT
ajst-8018	242	25	"	"	PUNCT
ajst-8018	242	26	arxiv	arxiv	PROPN
ajst-8018	242	27	preprint	preprint	NOUN
ajst-8018	242	28	arxiv:2107.09011	arxiv:2107.09011	NOUN
ajst-8018	242	29	,	,	PUNCT
ajst-8018	242	30	2021	2021	NUM
ajst-8018	242	31	.	.	PUNCT
ajst-8018	243	1	[	[	X
ajst-8018	243	2	34	34	NUM
ajst-8018	243	3	]	]	X
ajst-8018	243	4	l.	l.	PROPN
ajst-8018	243	5	qu	qu	PROPN
ajst-8018	243	6	,	,	PUNCT
ajst-8018	243	7	s.	s.	PROPN
ajst-8018	243	8	liu	liu	PROPN
ajst-8018	243	9	,	,	PUNCT
ajst-8018	243	10	m.	m.	PROPN
ajst-8018	243	11	wang	wang	PROPN
ajst-8018	243	12	,	,	PUNCT
ajst-8018	243	13	and	and	CCONJ
ajst-8018	243	14	z.	z.	PROPN
ajst-8018	243	15	song	song	PROPN
ajst-8018	243	16	,	,	PUNCT
ajst-8018	243	17	"	"	PUNCT
ajst-8018	243	18	transmef	transmef	NOUN
ajst-8018	243	19	:	:	PUNCT
ajst-8018	243	20	a	a	DET
ajst-8018	243	21	transformer	transformer	NOUN
ajst-8018	243	22	-	-	PUNCT
ajst-8018	243	23	based	base	VERB
ajst-8018	243	24	multi	multi	ADJ
ajst-8018	243	25	-	-	ADJ
ajst-8018	243	26	exposure	exposure	ADJ
ajst-8018	243	27	image	image	NOUN
ajst-8018	243	28	fusion	fusion	NOUN
ajst-8018	243	29	framework	framework	NOUN
ajst-8018	243	30	using	use	VERB
ajst-8018	243	31	self	self	NOUN
ajst-8018	243	32	-	-	PUNCT
ajst-8018	243	33	supervised	supervise	VERB
ajst-8018	243	34	multi	multi	ADJ
ajst-8018	243	35	-	-	ADJ
ajst-8018	243	36	task	task	ADJ
ajst-8018	243	37	learning	learning	NOUN
ajst-8018	243	38	,	,	PUNCT
ajst-8018	243	39	"	"	PUNCT
ajst-8018	243	40	arxiv	arxiv	PROPN
ajst-8018	243	41	preprint	preprint	VERB
ajst-8018	243	42	arxiv:2112.01030	arxiv:2112.01030	PROPN
ajst-8018	243	43	,	,	PUNCT
ajst-8018	243	44	2021	2021	NUM
ajst-8018	243	45	.	.	PUNCT
ajst-8018	244	1	[	[	X
ajst-8018	244	2	35	35	NUM
ajst-8018	244	3	]	]	X
ajst-8018	244	4	l.	l.	PROPN
ajst-8018	244	5	qu	qu	PROPN
ajst-8018	244	6	et	et	PROPN
ajst-8018	244	7	al	al	PROPN
ajst-8018	244	8	.	.	PROPN
ajst-8018	244	9	,	,	PUNCT
ajst-8018	244	10	"	"	PUNCT
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ajst-8018	244	12	:	:	PUNCT
ajst-8018	244	13	a	a	DET
ajst-8018	244	14	unified	unified	ADJ
ajst-8018	244	15	transformer	transformer	NOUN
ajst-8018	244	16	-	-	PUNCT
ajst-8018	244	17	based	base	VERB
ajst-8018	244	18	image	image	NOUN
ajst-8018	244	19	fusion	fusion	NOUN
ajst-8018	244	20	framework	framework	NOUN
ajst-8018	244	21	using	use	VERB
ajst-8018	244	22	self	self	NOUN
ajst-8018	244	23	-	-	PUNCT
ajst-8018	244	24	supervised	supervise	VERB
ajst-8018	244	25	learning	learning	NOUN
ajst-8018	244	26	,	,	PUNCT
ajst-8018	244	27	"	"	PUNCT
ajst-8018	244	28	arxiv	arxiv	PROPN
ajst-8018	244	29	preprint	preprint	NOUN
ajst-8018	244	30	arxiv:2201.07451	arxiv:2201.07451	NUM
ajst-8018	244	31	,	,	PUNCT
ajst-8018	244	32	2022	2022	NUM
ajst-8018	244	33	.	.	PUNCT
ajst-8018	245	1	[	[	X
ajst-8018	245	2	36	36	NUM
ajst-8018	245	3	]	]	PUNCT
ajst-8018	245	4	a.	a.	PROPN
ajst-8018	245	5	l.	l.	PROPN
ajst-8018	245	6	da	da	PROPN
ajst-8018	245	7	cunha	cunha	PROPN
ajst-8018	245	8	,	,	PUNCT
ajst-8018	245	9	j.	j.	PROPN
ajst-8018	245	10	zhou	zhou	PROPN
ajst-8018	245	11	,	,	PUNCT
ajst-8018	245	12	and	and	CCONJ
ajst-8018	245	13	m.	m.	PROPN
ajst-8018	245	14	n.	n.	PROPN
ajst-8018	245	15	do	do	VERB
ajst-8018	245	16	,	,	PUNCT
ajst-8018	245	17	"	"	PUNCT
ajst-8018	245	18	the	the	DET
ajst-8018	245	19	nonsubsampled	nonsubsampled	ADJ
ajst-8018	245	20	contourlet	contourlet	NOUN
ajst-8018	245	21	transform	transform	NOUN
ajst-8018	245	22	:	:	PUNCT
ajst-8018	245	23	theory	theory	NOUN
ajst-8018	245	24	,	,	PUNCT
ajst-8018	245	25	design	design	NOUN
ajst-8018	245	26	,	,	PUNCT
ajst-8018	245	27	and	and	CCONJ
ajst-8018	245	28	applications	application	NOUN
ajst-8018	245	29	,	,	PUNCT
ajst-8018	245	30	"	"	PUNCT
ajst-8018	245	31	ieee	ieee	NOUN
ajst-8018	245	32	transactions	transaction	NOUN
ajst-8018	245	33	on	on	ADP
ajst-8018	245	34	image	image	NOUN
ajst-8018	245	35	processing	processing	NOUN
ajst-8018	245	36	,	,	PUNCT
ajst-8018	245	37	vol	vol	NOUN
ajst-8018	245	38	.	.	PROPN
ajst-8018	245	39	15	15	NUM
ajst-8018	245	40	,	,	PUNCT
ajst-8018	245	41	no	no	INTJ
ajst-8018	245	42	.	.	NOUN
ajst-8018	245	43	10	10	NUM
ajst-8018	245	44	,	,	PUNCT
ajst-8018	245	45	pp	pp	ADJ
ajst-8018	245	46	.	.	PUNCT
ajst-8018	246	1	30893101	30893101	NUM
ajst-8018	246	2	,	,	PUNCT
ajst-8018	246	3	2006	2006	NUM
ajst-8018	246	4	.	.	PUNCT
ajst-8018	247	1	[	[	X
ajst-8018	247	2	37	37	NUM
ajst-8018	247	3	]	]	PUNCT
ajst-8018	247	4	z.	z.	PROPN
ajst-8018	247	5	wang	wang	PROPN
ajst-8018	247	6	,	,	PUNCT
ajst-8018	247	7	x.	x.	PROPN
ajst-8018	247	8	li	li	PROPN
ajst-8018	247	9	,	,	PUNCT
ajst-8018	247	10	h.	h.	PROPN
ajst-8018	247	11	duan	duan	PROPN
ajst-8018	247	12	,	,	PUNCT
ajst-8018	247	13	y.	y.	PROPN
ajst-8018	247	14	su	su	PROPN
ajst-8018	247	15	,	,	PUNCT
ajst-8018	247	16	x.	x.	PROPN
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ajst-8018	247	18	,	,	PUNCT
ajst-8018	247	19	and	and	CCONJ
ajst-8018	247	20	x.	x.	PROPN
ajst-8018	247	21	guan	guan	PROPN
ajst-8018	247	22	,	,	PUNCT
ajst-8018	247	23	"	"	PUNCT
ajst-8018	247	24	medical	medical	ADJ
ajst-8018	247	25	image	image	NOUN
ajst-8018	247	26	fusion	fusion	NOUN
ajst-8018	247	27	based	base	VERB
ajst-8018	247	28	on	on	ADP
ajst-8018	247	29	convolutional	convolutional	ADJ
ajst-8018	247	30	neural	neural	ADJ
ajst-8018	247	31	networks	network	NOUN
ajst-8018	247	32	and	and	CCONJ
ajst-8018	247	33	non	non	ADJ
ajst-8018	247	34	-	-	ADJ
ajst-8018	247	35	subsampled	subsampled	ADJ
ajst-8018	247	36	contourlet	contourlet	NOUN
ajst-8018	247	37	transform	transform	NOUN
ajst-8018	247	38	,	,	PUNCT
ajst-8018	247	39	"	"	PUNCT
ajst-8018	247	40	expert	expert	NOUN
ajst-8018	247	41	systems	system	NOUN
ajst-8018	247	42	with	with	ADP
ajst-8018	247	43	applications	application	NOUN
ajst-8018	247	44	,	,	PUNCT
ajst-8018	247	45	vol	vol	NOUN
ajst-8018	247	46	.	.	PROPN
ajst-8018	247	47	171	171	NUM
ajst-8018	247	48	,	,	PUNCT
ajst-8018	247	49	p.	p.	NOUN
ajst-8018	247	50	114574	114574	NUM
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ajst-8018	248	3	]	]	PUNCT
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ajst-8018	248	9	,	,	PUNCT
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ajst-8018	248	11	rani	rani	PROPN
ajst-8018	248	12	,	,	PUNCT
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ajst-8018	248	14	n.	n.	PROPN
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ajst-8018	248	17	"	"	PUNCT
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ajst-8018	248	20	fusion	fusion	NOUN
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ajst-8018	248	22	denoising	denoising	NOUN
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ajst-8018	248	24	nsct	nsct	PROPN
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ajst-8018	248	30	,	,	PUNCT
ajst-8018	248	31	"	"	PUNCT
ajst-8018	248	32	biomedical	biomedical	ADJ
ajst-8018	248	33	signal	signal	NOUN
ajst-8018	248	34	processing	processing	NOUN
ajst-8018	248	35	and	and	CCONJ
ajst-8018	248	36	control	control	NOUN
ajst-8018	248	37	,	,	PUNCT
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ajst-8018	248	39	.	.	PROPN
ajst-8018	248	40	71	71	NUM
ajst-8018	248	41	,	,	PUNCT
ajst-8018	248	42	p.	p.	NOUN
ajst-8018	248	43	103214	103214	NUM
ajst-8018	248	44	,	,	PUNCT
ajst-8018	248	45	2022	2022	NUM
ajst-8018	248	46	.	.	PUNCT
ajst-8018	249	1	[	[	X
ajst-8018	249	2	39	39	NUM
ajst-8018	249	3	]	]	PUNCT
ajst-8018	249	4	d.	d.	PROPN
ajst-8018	249	5	s.	s.	PROPN
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ajst-8018	249	7	and	and	CCONJ
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ajst-8018	249	9	s.	s.	PROPN
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ajst-8018	249	17	medical	medical	ADJ
ajst-8018	249	18	image	image	NOUN
ajst-8018	249	19	fusion	fusion	NOUN
ajst-8018	249	20	using	use	VERB
ajst-8018	249	21	convolutional	convolutional	ADJ
ajst-8018	249	22	neural	neural	ADJ
ajst-8018	249	23	network	network	NOUN
ajst-8018	249	24	and	and	CCONJ
ajst-8018	249	25	sparse	sparse	ADJ
ajst-8018	249	26	representation	representation	NOUN
ajst-8018	249	27	,	,	PUNCT
ajst-8018	249	28	"	"	PUNCT
ajst-8018	249	29	biomedical	biomedical	ADJ
ajst-8018	249	30	signal	signal	NOUN
ajst-8018	249	31	processing	processing	NOUN
ajst-8018	249	32	and	and	CCONJ
ajst-8018	249	33	control	control	NOUN
ajst-8018	249	34	,	,	PUNCT
ajst-8018	249	35	vol	vol	NOUN
ajst-8018	249	36	.	.	PROPN
ajst-8018	249	37	69	69	NUM
ajst-8018	249	38	,	,	PUNCT
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ajst-8018	249	40	102789	102789	NUM
ajst-8018	249	41	,	,	PUNCT
ajst-8018	249	42	2021	2021	NUM
ajst-8018	249	43	.	.	PUNCT
ajst-8018	250	1	[	[	X
ajst-8018	250	2	40	40	NUM
ajst-8018	250	3	]	]	PUNCT
ajst-8018	250	4	a.	a.	NOUN
ajst-8018	250	5	i̇.	i̇.	PROPN
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ajst-8018	250	7	,	,	PUNCT
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ajst-8018	250	11	,	,	PUNCT
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ajst-8018	250	13	n.	n.	PROPN
ajst-8018	250	14	a.	a.	PROPN
ajst-8018	250	15	baykan	baykan	PROPN
ajst-8018	250	16	,	,	PUNCT
ajst-8018	250	17	"	"	PUNCT
ajst-8018	250	18	medical	medical	ADJ
ajst-8018	250	19	image	image	NOUN
ajst-8018	250	20	fusion	fusion	NOUN
ajst-8018	250	21	with	with	ADP
ajst-8018	250	22	convolutional	convolutional	ADJ
ajst-8018	250	23	neural	neural	ADJ
ajst-8018	250	24	network	network	NOUN
ajst-8018	250	25	in	in	ADP
ajst-8018	250	26	multiscale	multiscale	ADJ
ajst-8018	250	27	transform	transform	NOUN
ajst-8018	250	28	domain	domain	NOUN
ajst-8018	250	29	,	,	PUNCT
ajst-8018	250	30	"	"	PUNCT
ajst-8018	250	31	turkish	turkish	ADJ
ajst-8018	250	32	journal	journal	NOUN
ajst-8018	250	33	of	of	ADP
ajst-8018	250	34	electrical	electrical	ADJ
ajst-8018	250	35	engineering	engineering	NOUN
ajst-8018	250	36	and	and	CCONJ
ajst-8018	250	37	computer	computer	NOUN
ajst-8018	250	38	sciences	science	NOUN
ajst-8018	250	39	,	,	PUNCT
ajst-8018	250	40	2021	2021	NUM
ajst-8018	250	41	.	.	PUNCT
ajst-8018	251	1	[	[	X
ajst-8018	251	2	41	41	NUM
ajst-8018	251	3	]	]	X
ajst-8018	251	4	b.	b.	PROPN
ajst-8018	251	5	lei	lei	PROPN
ajst-8018	251	6	,	,	PUNCT
ajst-8018	251	7	s.	s.	PROPN
ajst-8018	251	8	chen	chen	PROPN
ajst-8018	251	9	,	,	PUNCT
ajst-8018	251	10	d.	d.	PROPN
ajst-8018	251	11	ni	ni	PROPN
ajst-8018	251	12	,	,	PUNCT
ajst-8018	251	13	and	and	CCONJ
ajst-8018	251	14	t.	t.	PROPN
ajst-8018	251	15	wang	wang	PROPN
ajst-8018	251	16	,	,	PUNCT
ajst-8018	251	17	"	"	PUNCT
ajst-8018	251	18	discriminative	discriminative	NOUN
ajst-8018	251	19	learning	learn	VERB
ajst-8018	251	20	for	for	ADP
ajst-8018	251	21	alzheimer	alzheimer	PROPN
ajst-8018	251	22	's	's	PART
ajst-8018	251	23	disease	disease	NOUN
ajst-8018	251	24	diagnosis	diagnosis	NOUN
ajst-8018	251	25	via	via	ADP
ajst-8018	251	26	canonical	canonical	ADJ
ajst-8018	251	27	correlation	correlation	NOUN
ajst-8018	251	28	analysis	analysis	NOUN
ajst-8018	251	29	and	and	CCONJ
ajst-8018	251	30	multimodal	multimodal	NOUN
ajst-8018	251	31	fusion	fusion	NOUN
ajst-8018	251	32	,	,	PUNCT
ajst-8018	251	33	"	"	PUNCT
ajst-8018	251	34	frontiers	frontier	NOUN
ajst-8018	251	35	in	in	ADP
ajst-8018	251	36	aging	age	VERB
ajst-8018	251	37	neuroscience	neuroscience	NOUN
ajst-8018	251	38	,	,	PUNCT
ajst-8018	251	39	vol	vol	NOUN
ajst-8018	251	40	.	.	PROPN
ajst-8018	251	41	8	8	NUM
ajst-8018	251	42	,	,	PUNCT
ajst-8018	251	43	p.	p.	NOUN
ajst-8018	251	44	77	77	NUM
ajst-8018	251	45	,	,	PUNCT
ajst-8018	251	46	2016	2016	NUM
ajst-8018	251	47	.	.	PUNCT
ajst-8018	252	1	[	[	X
ajst-8018	252	2	42	42	NUM
ajst-8018	252	3	]	]	X
ajst-8018	252	4	o.	o.	PROPN
ajst-8018	252	5	b.	b.	PROPN
ajst-8018	252	6	ahmed	ahmed	PROPN
ajst-8018	252	7	,	,	PUNCT
ajst-8018	252	8	j.	j.	PROPN
ajst-8018	252	9	benois	benois	PROPN
ajst-8018	252	10	-	-	PUNCT
ajst-8018	252	11	pineau	pineau	PROPN
ajst-8018	252	12	,	,	PUNCT
ajst-8018	252	13	m.	m.	NOUN
ajst-8018	252	14	allard	allard	PROPN
ajst-8018	252	15	,	,	PUNCT
ajst-8018	252	16	g.	g.	PROPN
ajst-8018	252	17	catheline	catheline	PROPN
ajst-8018	252	18	,	,	PUNCT
ajst-8018	252	19	c.	c.	PROPN
ajst-8018	252	20	b.	b.	PROPN
ajst-8018	252	21	amar	amar	PROPN
ajst-8018	252	22	,	,	PUNCT
ajst-8018	252	23	and	and	CCONJ
ajst-8018	252	24	a.	a.	PROPN
ajst-8018	252	25	s.	s.	PROPN
ajst-8018	252	26	d.	d.	PROPN
ajst-8018	252	27	n.	n.	PROPN
ajst-8018	252	28	initiative	initiative	PROPN
ajst-8018	252	29	,	,	PUNCT
ajst-8018	252	30	"	"	PUNCT
ajst-8018	252	31	recognition	recognition	NOUN
ajst-8018	252	32	of	of	ADP
ajst-8018	252	33	alzheimer	alzheimer	PROPN
ajst-8018	252	34	's	's	PART
ajst-8018	252	35	disease	disease	NOUN
ajst-8018	252	36	and	and	CCONJ
ajst-8018	252	37	mild	mild	ADJ
ajst-8018	252	38	cognitive	cognitive	ADJ
ajst-8018	252	39	impairment	impairment	NOUN
ajst-8018	252	40	with	with	ADP
ajst-8018	252	41	multimodal	multimodal	ADJ
ajst-8018	252	42	image	image	NOUN
ajst-8018	252	43	-	-	PUNCT
ajst-8018	252	44	derived	derive	VERB
ajst-8018	252	45	biomarkers	biomarker	NOUN
ajst-8018	252	46	and	and	CCONJ
ajst-8018	252	47	multiple	multiple	ADJ
ajst-8018	252	48	kernel	kernel	PROPN
ajst-8018	252	49	learning	learning	PROPN
ajst-8018	252	50	,	,	PUNCT
ajst-8018	252	51	"	"	PUNCT
ajst-8018	252	52	neurocomputing	neurocomputing	NOUN
ajst-8018	252	53	,	,	PUNCT
ajst-8018	252	54	vol	vol	NOUN
ajst-8018	252	55	.	.	NOUN
ajst-8018	252	56	220	220	NUM
ajst-8018	252	57	,	,	PUNCT
ajst-8018	252	58	pp	pp	ADJ
ajst-8018	252	59	.	.	PUNCT
ajst-8018	253	1	98	98	NUM
ajst-8018	253	2	-	-	SYM
ajst-8018	253	3	110	110	NUM
ajst-8018	253	4	,	,	PUNCT
ajst-8018	253	5	2017	2017	NUM
ajst-8018	253	6	.	.	PUNCT
ajst-8018	254	1	[	[	X
ajst-8018	254	2	43	43	NUM
ajst-8018	254	3	]	]	X
ajst-8018	254	4	a.	a.	PROPN
ajst-8018	254	5	d.	d.	PROPN
ajst-8018	254	6	algarni	algarni	PROPN
ajst-8018	254	7	,	,	PUNCT
ajst-8018	254	8	"	"	PUNCT
ajst-8018	254	9	automated	automate	VERB
ajst-8018	254	10	medical	medical	ADJ
ajst-8018	254	11	diagnosis	diagnosis	NOUN
ajst-8018	254	12	system	system	NOUN
ajst-8018	254	13	based	base	VERB
ajst-8018	254	14	on	on	ADP
ajst-8018	254	15	multi	multi	ADJ
ajst-8018	254	16	-	-	ADJ
ajst-8018	254	17	modality	modality	ADJ
ajst-8018	254	18	image	image	NOUN
ajst-8018	254	19	fusion	fusion	NOUN
ajst-8018	254	20	and	and	CCONJ
ajst-8018	254	21	deep	deep	ADJ
ajst-8018	254	22	learning	learning	NOUN
ajst-8018	254	23	,	,	PUNCT
ajst-8018	254	24	"	"	PUNCT
ajst-8018	254	25	wireless	wireless	ADJ
ajst-8018	254	26	personal	personal	ADJ
ajst-8018	254	27	communications	communication	NOUN
ajst-8018	254	28	,	,	PUNCT
ajst-8018	254	29	vol	vol	NOUN
ajst-8018	254	30	.	.	NOUN
ajst-8018	254	31	111	111	NUM
ajst-8018	254	32	,	,	PUNCT
ajst-8018	254	33	no	no	INTJ
ajst-8018	254	34	.	.	NOUN
ajst-8018	254	35	2	2	NUM
ajst-8018	254	36	,	,	PUNCT
ajst-8018	254	37	pp	pp	ADJ
ajst-8018	254	38	.	.	PUNCT
ajst-8018	255	1	1033	1033	NUM
ajst-8018	255	2	-	-	SYM
ajst-8018	255	3	1058	1058	NUM
ajst-8018	255	4	,	,	PUNCT
ajst-8018	255	5	2020	2020	NUM
ajst-8018	255	6	.	.	PUNCT
ajst-8018	256	1	[	[	X
ajst-8018	256	2	44	44	NUM
ajst-8018	256	3	]	]	PUNCT
ajst-8018	256	4	t.	t.	PROPN
ajst-8018	256	5	d.	d.	PROPN
ajst-8018	256	6	vu	vu	PROPN
ajst-8018	256	7	,	,	PUNCT
ajst-8018	256	8	h.-j	h.-j	PROPN
ajst-8018	256	9	.	.	PUNCT
ajst-8018	257	1	yang	yang	PROPN
ajst-8018	257	2	,	,	PUNCT
ajst-8018	257	3	v.	v.	PROPN
ajst-8018	257	4	q.	q.	PROPN
ajst-8018	257	5	nguyen	nguyen	PROPN
ajst-8018	257	6	,	,	PUNCT
ajst-8018	257	7	a.-r	a.-r	PROPN
ajst-8018	257	8	.	.	PUNCT
ajst-8018	258	1	oh	oh	INTJ
ajst-8018	258	2	,	,	PUNCT
ajst-8018	258	3	and	and	CCONJ
ajst-8018	258	4	m.-s	m.-	NOUN
ajst-8018	258	5	.	.	PUNCT
ajst-8018	259	1	kim	kim	PROPN
ajst-8018	259	2	,	,	PUNCT
ajst-8018	259	3	"	"	PUNCT
ajst-8018	259	4	multimodal	multimodal	ADJ
ajst-8018	259	5	learning	learning	NOUN
ajst-8018	259	6	using	use	VERB
ajst-8018	259	7	convolution	convolution	NOUN
ajst-8018	259	8	neural	neural	ADJ
ajst-8018	259	9	network	network	NOUN
ajst-8018	259	10	and	and	CCONJ
ajst-8018	259	11	sparse	sparse	ADJ
ajst-8018	259	12	autoencoder	autoencoder	NOUN
ajst-8018	259	13	,	,	PUNCT
ajst-8018	259	14	"	"	PUNCT
ajst-8018	259	15	in	in	ADP
ajst-8018	259	16	2017	2017	NUM
ajst-8018	259	17	ieee	ieee	NOUN
ajst-8018	259	18	international	international	ADJ
ajst-8018	259	19	conference	conference	NOUN
ajst-8018	259	20	on	on	ADP
ajst-8018	259	21	big	big	ADJ
ajst-8018	259	22	data	datum	NOUN
ajst-8018	259	23	and	and	CCONJ
ajst-8018	259	24	smart	smart	ADJ
ajst-8018	259	25	computing	computing	NOUN
ajst-8018	259	26	(	(	PUNCT
ajst-8018	259	27	bigcomp	bigcomp	NOUN
ajst-8018	259	28	)	)	PUNCT
ajst-8018	259	29	,	,	PUNCT
ajst-8018	259	30	2017	2017	NUM
ajst-8018	259	31	:	:	PUNCT
ajst-8018	259	32	ieee	ieee	NOUN
ajst-8018	259	33	,	,	PUNCT
ajst-8018	259	34	pp	pp	ADJ
ajst-8018	259	35	.	.	PUNCT
ajst-8018	260	1	309	309	NUM
ajst-8018	260	2	-	-	SYM
ajst-8018	260	3	312	312	NUM
ajst-8018	260	4	.	.	PUNCT
ajst-8018	261	1	[	[	X
ajst-8018	261	2	45	45	NUM
ajst-8018	261	3	]	]	PUNCT
ajst-8018	261	4	j.	j.	PROPN
ajst-8018	261	5	ma	ma	PROPN
ajst-8018	261	6	,	,	PUNCT
ajst-8018	261	7	h.	h.	PROPN
ajst-8018	261	8	xu	xu	PROPN
ajst-8018	261	9	,	,	PUNCT
ajst-8018	261	10	j.	j.	PROPN
ajst-8018	261	11	jiang	jiang	PROPN
ajst-8018	261	12	,	,	PUNCT
ajst-8018	261	13	x.	x.	PROPN
ajst-8018	261	14	mei	mei	PROPN
ajst-8018	261	15	,	,	PUNCT
ajst-8018	261	16	and	and	CCONJ
ajst-8018	261	17	x.-p	x.-p	PROPN
ajst-8018	261	18	.	.	PUNCT
ajst-8018	262	1	zhang	zhang	PROPN
ajst-8018	262	2	,	,	PUNCT
ajst-8018	262	3	"	"	PUNCT
ajst-8018	262	4	ddcgan	ddcgan	VERB
ajst-8018	262	5	:	:	PUNCT
ajst-8018	262	6	a	a	DET
ajst-8018	262	7	dual	dual	ADJ
ajst-8018	262	8	-	-	PUNCT
ajst-8018	262	9	discriminator	discriminator	NOUN
ajst-8018	262	10	conditional	conditional	ADJ
ajst-8018	262	11	generative	generative	ADJ
ajst-8018	262	12	adversarial	adversarial	ADJ
ajst-8018	262	13	network	network	NOUN
ajst-8018	262	14	for	for	ADP
ajst-8018	262	15	multi	multi	ADJ
ajst-8018	262	16	-	-	ADJ
ajst-8018	262	17	resolution	resolution	ADJ
ajst-8018	262	18	image	image	NOUN
ajst-8018	262	19	fusion	fusion	NOUN
ajst-8018	262	20	,	,	PUNCT
ajst-8018	262	21	"	"	PUNCT
ajst-8018	262	22	ieee	ieee	NOUN
ajst-8018	262	23	transactions	transaction	NOUN
ajst-8018	262	24	on	on	ADP
ajst-8018	262	25	image	image	NOUN
ajst-8018	262	26	processing	processing	NOUN
ajst-8018	262	27	,	,	PUNCT
ajst-8018	262	28	vol	vol	NOUN
ajst-8018	262	29	.	.	PROPN
ajst-8018	262	30	29	29	NUM
ajst-8018	262	31	,	,	PUNCT
ajst-8018	262	32	pp	pp	ADJ
ajst-8018	262	33	.	.	PUNCT
ajst-8018	262	34	4980	4980	NUM
ajst-8018	262	35	-	-	SYM
ajst-8018	262	36	4995	4995	NUM
ajst-8018	262	37	,	,	PUNCT
ajst-8018	262	38	2020	2020	NUM
ajst-8018	262	39	.	.	PUNCT
ajst-8018	263	1	[	[	X
ajst-8018	263	2	46	46	NUM
ajst-8018	263	3	]	]	PUNCT
ajst-8018	263	4	z.	z.	PROPN
ajst-8018	263	5	shi	shi	PROPN
ajst-8018	263	6	,	,	PUNCT
ajst-8018	263	7	c.	c.	PROPN
ajst-8018	263	8	zhang	zhang	PROPN
ajst-8018	263	9	,	,	PUNCT
ajst-8018	263	10	d.	d.	PROPN
ajst-8018	263	11	ye	ye	PROPN
ajst-8018	263	12	,	,	PUNCT
ajst-8018	263	13	p.	p.	NOUN
ajst-8018	263	14	qin	qin	PROPN
ajst-8018	263	15	,	,	PUNCT
ajst-8018	263	16	r.	r.	PROPN
ajst-8018	263	17	zhou	zhou	PROPN
ajst-8018	263	18	,	,	PUNCT
ajst-8018	263	19	and	and	CCONJ
ajst-8018	263	20	l.	l.	PROPN
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ajst-8018	263	22	,	,	PUNCT
ajst-8018	263	23	"	"	PUNCT
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ajst-8018	263	25	:	:	PUNCT
ajst-8018	263	26	multimodal	multimodal	ADJ
ajst-8018	263	27	brain	brain	NOUN
ajst-8018	263	28	image	image	NOUN
ajst-8018	263	29	fusion	fusion	NOUN
ajst-8018	263	30	with	with	ADP
ajst-8018	263	31	multiattention	multiattention	NOUN
ajst-8018	263	32	module	module	NOUN
ajst-8018	263	33	,	,	PUNCT
ajst-8018	263	34	"	"	PUNCT
ajst-8018	263	35	ieee	ieee	NOUN
ajst-8018	263	36	access	access	NOUN
ajst-8018	263	37	,	,	PUNCT
ajst-8018	263	38	vol	vol	NOUN
ajst-8018	263	39	.	.	PROPN
ajst-8018	263	40	10	10	NUM
ajst-8018	263	41	,	,	PUNCT
ajst-8018	263	42	pp	pp	ADJ
ajst-8018	263	43	.	.	PUNCT
ajst-8018	263	44	37200	37200	NUM
ajst-8018	263	45	-	-	SYM
ajst-8018	263	46	37214	37214	NUM
ajst-8018	263	47	,	,	PUNCT
ajst-8018	263	48	2022	2022	NUM
ajst-8018	263	49	.	.	PUNCT
ajst-8018	264	1	[	[	X
ajst-8018	264	2	47	47	NUM
ajst-8018	264	3	]	]	X
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ajst-8018	264	6	abirami	abirami	PROPN
ajst-8018	264	7	,	,	PUNCT
ajst-8018	264	8	p.	p.	PROPN
ajst-8018	264	9	durai	durai	PROPN
ajst-8018	264	10	raj	raj	PROPN
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ajst-8018	264	12	,	,	PUNCT
ajst-8018	264	13	k.	k.	PROPN
ajst-8018	264	14	srinivasan	srinivasan	PROPN
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ajst-8018	264	16	k.	k.	PROPN
ajst-8018	264	17	s.	s.	PROPN
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ajst-8018	264	20	and	and	CCONJ
ajst-8018	264	21	c.-y	c.-y	NOUN
ajst-8018	264	22	.	.	PUNCT
ajst-8018	265	1	chang	chang	PROPN
ajst-8018	265	2	,	,	PUNCT
ajst-8018	265	3	"	"	PUNCT
ajst-8018	265	4	multimodal	multimodal	ADJ
ajst-8018	265	5	medical	medical	ADJ
ajst-8018	265	6	image	image	NOUN
ajst-8018	265	7	fusion	fusion	NOUN
ajst-8018	265	8	of	of	ADP
ajst-8018	265	9	positron	positron	NOUN
ajst-8018	265	10	emission	emission	NOUN
ajst-8018	265	11	tomography	tomography	NOUN
ajst-8018	265	12	and	and	CCONJ
ajst-8018	265	13	magnetic	magnetic	ADJ
ajst-8018	265	14	resonance	resonance	NOUN
ajst-8018	265	15	imaging	imaging	NOUN
ajst-8018	265	16	using	use	VERB
ajst-8018	265	17	generative	generative	ADJ
ajst-8018	265	18	adversarial	adversarial	ADJ
ajst-8018	265	19	networks	network	NOUN
ajst-8018	265	20	,	,	PUNCT
ajst-8018	265	21	"	"	PUNCT
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ajst-8018	265	24	,	,	PUNCT
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ajst-8018	265	26	.	.	NOUN
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ajst-8018	265	28	,	,	PUNCT
ajst-8018	265	29	2022	2022	NUM
ajst-8018	265	30	.	.	PUNCT
ajst-8018	266	1	[	[	X
ajst-8018	266	2	48	48	NUM
ajst-8018	266	3	]	]	PUNCT
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ajst-8018	266	5	g.	g.	PROPN
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ajst-8018	266	9	v.	v.	ADP
ajst-8018	266	10	n.	n.	PROPN
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ajst-8018	266	12	,	,	PUNCT
ajst-8018	266	13	and	and	CCONJ
ajst-8018	266	14	p.	p.	PROPN
ajst-8018	266	15	r.	r.	PROPN
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ajst-8018	266	17	,	,	PUNCT
ajst-8018	266	18	"	"	PUNCT
ajst-8018	266	19	segmentation	segmentation	NOUN
ajst-8018	266	20	of	of	ADP
ajst-8018	266	21	fused	fuse	VERB
ajst-8018	266	22	mr	mr	PROPN
ajst-8018	266	23	and	and	CCONJ
ajst-8018	266	24	ct	ct	NUM
ajst-8018	266	25	images	image	NOUN
ajst-8018	266	26	using	use	VERB
ajst-8018	266	27	dl	dl	PROPN
ajst-8018	266	28	-	-	PUNCT
ajst-8018	266	29	cnn	cnn	PROPN
ajst-8018	266	30	with	with	ADP
ajst-8018	266	31	pgk	pgk	NOUN
ajst-8018	266	32	and	and	CCONJ
ajst-8018	266	33	nlem	nlem	NOUN
ajst-8018	266	34	filtered	filter	VERB
ajst-8018	266	35	aacgk	aacgk	PROPN
ajst-8018	266	36	-	-	PUNCT
ajst-8018	266	37	fcm	fcm	X
ajst-8018	266	38	,	,	PUNCT
ajst-8018	266	39	"	"	PUNCT
ajst-8018	266	40	biomedical	biomedical	ADJ
ajst-8018	266	41	signal	signal	NOUN
ajst-8018	266	42	processing	processing	NOUN
ajst-8018	266	43	and	and	CCONJ
ajst-8018	266	44	control	control	NOUN
ajst-8018	266	45	,	,	PUNCT
ajst-8018	266	46	vol	vol	NOUN
ajst-8018	266	47	.	.	PROPN
ajst-8018	266	48	68	68	NUM
ajst-8018	266	49	,	,	PUNCT
ajst-8018	266	50	p.	p.	NOUN
ajst-8018	266	51	102618	102618	NUM
ajst-8018	266	52	,	,	PUNCT
ajst-8018	266	53	2021	2021	NUM
ajst-8018	266	54	.	.	PUNCT
ajst-8018	267	1	[	[	X
ajst-8018	267	2	49	49	NUM
ajst-8018	267	3	]	]	PUNCT
ajst-8018	267	4	s.	s.	PROPN
ajst-8018	267	5	li	li	PROPN
ajst-8018	267	6	,	,	PUNCT
ajst-8018	267	7	y.	y.	PROPN
ajst-8018	267	8	xie	xie	PROPN
ajst-8018	267	9	,	,	PUNCT
ajst-8018	267	10	g.	g.	PROPN
ajst-8018	267	11	wang	wang	PROPN
ajst-8018	267	12	,	,	PUNCT
ajst-8018	267	13	l.	l.	PROPN
ajst-8018	267	14	zhang	zhang	PROPN
ajst-8018	267	15	,	,	PUNCT
ajst-8018	267	16	and	and	CCONJ
ajst-8018	267	17	w.	w.	PROPN
ajst-8018	267	18	zhou	zhou	PROPN
ajst-8018	267	19	,	,	PUNCT
ajst-8018	267	20	"	"	PUNCT
ajst-8018	267	21	attention	attention	NOUN
ajst-8018	267	22	guided	guide	VERB
ajst-8018	267	23	discriminative	discriminative	NOUN
ajst-8018	267	24	feature	feature	NOUN
ajst-8018	267	25	learning	learning	NOUN
ajst-8018	267	26	and	and	CCONJ
ajst-8018	267	27	adaptive	adaptive	ADJ
ajst-8018	267	28	fusion	fusion	NOUN
ajst-8018	267	29	for	for	ADP
ajst-8018	267	30	grading	grade	VERB
ajst-8018	267	31	hepatocellular	hepatocellular	ADJ
ajst-8018	267	32	carcinoma	carcinoma	NOUN
ajst-8018	267	33	with	with	ADP
ajst-8018	267	34	contrast	contrast	NOUN
ajst-8018	267	35	-	-	PUNCT
ajst-8018	267	36	enhanced	enhance	VERB
ajst-8018	267	37	mr	mr	PROPN
ajst-8018	267	38	,	,	PUNCT
ajst-8018	267	39	"	"	PUNCT
ajst-8018	267	40	computerized	computerized	ADJ
ajst-8018	267	41	medical	medical	ADJ
ajst-8018	267	42	imaging	imaging	NOUN
ajst-8018	267	43	and	and	CCONJ
ajst-8018	267	44	graphics	graphic	NOUN
ajst-8018	267	45	,	,	PUNCT
ajst-8018	267	46	vol	vol	NOUN
ajst-8018	267	47	.	.	PROPN
ajst-8018	267	48	97	97	NUM
ajst-8018	267	49	,	,	PUNCT
ajst-8018	267	50	p.	p.	NOUN
ajst-8018	267	51	102050	102050	NUM
ajst-8018	267	52	,	,	PUNCT
ajst-8018	267	53	2022	2022	NUM
ajst-8018	267	54	.	.	PUNCT
ajst-8018	268	1	[	[	X
ajst-8018	268	2	50	50	NUM
ajst-8018	268	3	]	]	X
ajst-8018	268	4	y.	y.	NOUN
ajst-8018	268	5	fu	fu	PROPN
ajst-8018	268	6	et	et	PROPN
ajst-8018	268	7	al	al	PROPN
ajst-8018	268	8	.	.	PROPN
ajst-8018	268	9	,	,	PUNCT
ajst-8018	268	10	"	"	PUNCT
ajst-8018	268	11	fusion	fusion	NOUN
ajst-8018	268	12	of	of	ADP
ajst-8018	268	13	3d	3d	NUM
ajst-8018	268	14	lung	lung	PROPN
ajst-8018	268	15	ct	ct	PROPN
ajst-8018	268	16	and	and	CCONJ
ajst-8018	268	17	serum	serum	NOUN
ajst-8018	268	18	biomarkers	biomarker	NOUN
ajst-8018	268	19	for	for	ADP
ajst-8018	268	20	diagnosis	diagnosis	NOUN
ajst-8018	268	21	of	of	ADP
ajst-8018	268	22	multiple	multiple	ADJ
ajst-8018	268	23	pathological	pathological	ADJ
ajst-8018	268	24	types	type	NOUN
ajst-8018	268	25	on	on	ADP
ajst-8018	268	26	pulmonary	pulmonary	ADJ
ajst-8018	268	27	nodules	nodule	NOUN
ajst-8018	268	28	,	,	PUNCT
ajst-8018	268	29	"	"	PUNCT
ajst-8018	268	30	computer	computer	NOUN
ajst-8018	268	31	methods	method	NOUN
ajst-8018	268	32	and	and	CCONJ
ajst-8018	268	33	programs	program	NOUN
ajst-8018	268	34	in	in	ADP
ajst-8018	268	35	biomedicine	biomedicine	NOUN
ajst-8018	268	36	,	,	PUNCT
ajst-8018	268	37	vol	vol	NOUN
ajst-8018	268	38	.	.	NOUN
ajst-8018	268	39	210	210	NUM
ajst-8018	268	40	,	,	PUNCT
ajst-8018	268	41	p.	p.	NOUN
ajst-8018	268	42	106381	106381	NUM
ajst-8018	268	43	,	,	PUNCT
ajst-8018	268	44	2021	2021	NUM
ajst-8018	268	45	.	.	PUNCT
ajst-8018	269	1	[	[	X
ajst-8018	269	2	51	51	NUM
ajst-8018	269	3	]	]	X
ajst-8018	269	4	y.	y.	PROPN
ajst-8018	269	5	zhang	zhang	PROPN
ajst-8018	269	6	,	,	PUNCT
ajst-8018	269	7	j.	j.	PROPN
ajst-8018	269	8	zhao	zhao	PROPN
ajst-8018	269	9	,	,	PUNCT
ajst-8018	269	10	y.	y.	PROPN
ajst-8018	269	11	qiang	qiang	PROPN
ajst-8018	269	12	,	,	PUNCT
ajst-8018	269	13	x.	x.	PROPN
ajst-8018	269	14	yang	yang	PROPN
ajst-8018	269	15	,	,	PUNCT
ajst-8018	269	16	w.	w.	PROPN
ajst-8018	269	17	wu	wu	PROPN
ajst-8018	269	18	,	,	PUNCT
ajst-8018	269	19	and	and	CCONJ
ajst-8018	269	20	l.	l.	PROPN
ajst-8018	269	21	jia	jia	PROPN
ajst-8018	269	22	,	,	PUNCT
ajst-8018	269	23	"	"	PUNCT
ajst-8018	269	24	improved	improve	VERB
ajst-8018	269	25	heterogeneous	heterogeneous	ADJ
ajst-8018	269	26	data	datum	NOUN
ajst-8018	269	27	fusion	fusion	NOUN
ajst-8018	269	28	and	and	CCONJ
ajst-8018	269	29	multi‐scale	multi‐scale	NOUN
ajst-8018	269	30	feature	feature	NOUN
ajst-8018	269	31	selection	selection	NOUN
ajst-8018	269	32	method	method	NOUN
ajst-8018	269	33	for	for	ADP
ajst-8018	269	34	lung	lung	NOUN
ajst-8018	269	35	cancer	cancer	NOUN
ajst-8018	269	36	subtype	subtype	NOUN
ajst-8018	269	37	classification	classification	NOUN
ajst-8018	269	38	,	,	PUNCT
ajst-8018	269	39	"	"	PUNCT
ajst-8018	269	40	concurrency	concurrency	NOUN
ajst-8018	269	41	and	and	CCONJ
ajst-8018	269	42	computation	computation	NOUN
ajst-8018	269	43	:	:	PUNCT
ajst-8018	269	44	practice	practice	NOUN
ajst-8018	269	45	and	and	CCONJ
ajst-8018	269	46	experience	experience	NOUN
ajst-8018	269	47	,	,	PUNCT
ajst-8018	269	48	vol	vol	NOUN
ajst-8018	269	49	.	.	PROPN
ajst-8018	270	1	34	34	NUM
ajst-8018	270	2	,	,	PUNCT
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ajst-8018	270	4	.	.	NOUN
ajst-8018	270	5	1	1	NUM
ajst-8018	270	6	,	,	PUNCT
ajst-8018	270	7	p.	p.	NOUN
ajst-8018	270	8	e6535	e6535	PROPN
ajst-8018	270	9	,	,	PUNCT
ajst-8018	270	10	2022	2022	NUM
ajst-8018	270	11	.	.	PUNCT