id	sid	tid	token	lemma	pos
cana-664	1	1	communications	communication	NOUN
cana-664	1	2	on	on	ADP
cana-664	1	3	applied	apply	VERB
cana-664	1	4	nonlinear	nonlinear	ADJ
cana-664	1	5	analysis	analysis	NOUN
cana-664	1	6	issn	issn	NOUN
cana-664	1	7	:	:	PUNCT
cana-664	1	8	1074	1074	NUM
cana-664	1	9	-	-	PUNCT
cana-664	1	10	133x	133x	NUM
cana-664	1	11	vol	vol	NOUN
cana-664	1	12	31	31	NUM
cana-664	1	13	no	no	NOUN
cana-664	1	14	.	.	PUNCT
cana-664	2	1	2s	2s	NUM
cana-664	2	2	(	(	PUNCT
cana-664	2	3	2024	2024	NUM
cana-664	2	4	)	)	PUNCT
cana-664	2	5	515	515	NUM
cana-664	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-664	2	7	analytical	analytical	ADJ
cana-664	2	8	image	image	NOUN
cana-664	2	9	authentication	authentication	NOUN
cana-664	2	10	in	in	ADP
cana-664	2	11	healthcare	healthcare	PROPN
cana-664	2	12	:	:	PUNCT
cana-664	2	13	deep	deep	ADJ
cana-664	2	14	learning	learning	NOUN
cana-664	2	15	based	base	VERB
cana-664	2	16	mathematical	mathematical	ADJ
cana-664	2	17	methods	method	NOUN
cana-664	2	18	for	for	ADP
cana-664	2	19	uncovering	uncover	VERB
cana-664	2	20	large	large	ADJ
cana-664	2	21	-	-	PUNCT
cana-664	2	22	scale	scale	NOUN
cana-664	2	23	forgery	forgery	NOUN
cana-664	2	24	in	in	ADP
cana-664	2	25	medical	medical	ADJ
cana-664	2	26	images	image	NOUN
cana-664	2	27	sharda	sharda	PROPN
cana-664	2	28	mahajan1	mahajan1	PROPN
cana-664	2	29	,	,	PUNCT
cana-664	2	30	bhumika	bhumika	PROPN
cana-664	2	31	neole2	neole2	PROPN
cana-664	2	32	,	,	PUNCT
cana-664	2	33	satyajit	satyajit	PROPN
cana-664	2	34	uparkar3	uparkar3	PROPN
cana-664	2	35	,	,	PUNCT
cana-664	2	36	anushka	anushka	PROPN
cana-664	2	37	alkari4	alkari4	PROPN
cana-664	2	38	,	,	PUNCT
cana-664	2	39	gagan	gagan	PROPN
cana-664	2	40	dayma5	dayma5	PROPN
cana-664	2	41	,	,	PUNCT
cana-664	2	42	mahesh	mahesh	PROPN
cana-664	2	43	bakal6	bakal6	NOUN
cana-664	2	44	1	1	NUM
cana-664	2	45	research	research	NOUN
cana-664	2	46	scholar	scholar	NOUN
cana-664	2	47	,	,	PUNCT
cana-664	2	48	department	department	NOUN
cana-664	2	49	of	of	ADP
cana-664	2	50	electronics	electronic	NOUN
cana-664	2	51	and	and	CCONJ
cana-664	2	52	communication	communication	NOUN
cana-664	2	53	,	,	PUNCT
cana-664	2	54	shri	shri	PROPN
cana-664	2	55	ramdeobaba	ramdeobaba	PROPN
cana-664	2	56	college	college	NOUN
cana-664	2	57	of	of	ADP
cana-664	2	58	engineering	engineering	NOUN
cana-664	2	59	and	and	CCONJ
cana-664	2	60	management	management	NOUN
cana-664	2	61	,	,	PUNCT
cana-664	2	62	nagpur	nagpur	PROPN
cana-664	2	63	,	,	PUNCT
cana-664	2	64	india	india	PROPN
cana-664	2	65	.	.	PUNCT
cana-664	3	1	1shardamahajan1708@gmail.com	1shardamahajan1708@gmail.com	PROPN
cana-664	4	1	2,4,5,6	2,4,5,6	NUM
cana-664	4	2	department	department	NOUN
cana-664	4	3	of	of	ADP
cana-664	4	4	electronics	electronic	NOUN
cana-664	4	5	and	and	CCONJ
cana-664	4	6	communication	communication	NOUN
cana-664	4	7	,	,	PUNCT
cana-664	4	8	shri	shri	PROPN
cana-664	4	9	ramdeobaba	ramdeobaba	PROPN
cana-664	4	10	college	college	NOUN
cana-664	4	11	of	of	ADP
cana-664	4	12	engineering	engineering	NOUN
cana-664	4	13	and	and	CCONJ
cana-664	4	14	management	management	NOUN
cana-664	4	15	,	,	PUNCT
cana-664	4	16	nagpur	nagpur	PROPN
cana-664	4	17	,	,	PUNCT
cana-664	4	18	india	india	PROPN
cana-664	4	19	2neoleba@rknec.edu	2neoleba@rknec.edu	NUM
cana-664	4	20	,	,	PUNCT
cana-664	4	21	4alkarias@rknec.edu	4alkarias@rknec.edu	NUM
cana-664	4	22	,	,	PUNCT
cana-664	4	23	5daymagp@rknec.edu	5daymagp@rknec.edu	NUM
cana-664	4	24	,	,	PUNCT
cana-664	4	25	6bakalmn@rknec.edu	6bakalmn@rknec.edu	PROPN
cana-664	4	26	3department	3department	NUM
cana-664	4	27	of	of	ADP
cana-664	4	28	computer	computer	NOUN
cana-664	4	29	applications	application	NOUN
cana-664	4	30	,	,	PUNCT
cana-664	4	31	shri	shri	PROPN
cana-664	4	32	ramdeobaba	ramdeobaba	PROPN
cana-664	4	33	college	college	NOUN
cana-664	4	34	of	of	ADP
cana-664	4	35	engineering	engineering	NOUN
cana-664	4	36	and	and	CCONJ
cana-664	4	37	management	management	NOUN
cana-664	4	38	,	,	PUNCT
cana-664	4	39	nagpur	nagpur	PROPN
cana-664	4	40	,	,	PUNCT
cana-664	4	41	india	india	PROPN
cana-664	4	42	uparkarss@rknec.edu	uparkarss@rknec.edu	PROPN
cana-664	4	43	article	article	NOUN
cana-664	4	44	history	history	NOUN
cana-664	4	45	:	:	PUNCT
cana-664	4	46	received	receive	VERB
cana-664	4	47	:	:	PUNCT
cana-664	4	48	28	28	NUM
cana-664	4	49	-	-	SYM
cana-664	4	50	03	03	NUM
cana-664	4	51	-	-	PUNCT
cana-664	4	52	2024	2024	NUM
cana-664	4	53	revised	revise	VERB
cana-664	4	54	:	:	PUNCT
cana-664	4	55	10	10	NUM
cana-664	4	56	-	-	SYM
cana-664	4	57	05	05	NUM
cana-664	4	58	-	-	PUNCT
cana-664	4	59	2024	2024	NUM
cana-664	4	60	accepted	accept	VERB
cana-664	4	61	:	:	PUNCT
cana-664	4	62	19	19	NUM
cana-664	4	63	-	-	PUNCT
cana-664	4	64	05	05	NUM
cana-664	4	65	-	-	PUNCT
cana-664	4	66	2024	2024	NUM
cana-664	4	67	abstract	abstract	NOUN
cana-664	4	68	:	:	PUNCT
cana-664	4	69	analytical	analytical	ADJ
cana-664	4	70	image	image	NOUN
cana-664	4	71	authentication	authentication	NOUN
cana-664	4	72	in	in	ADP
cana-664	4	73	healthcare	healthcare	PROPN
cana-664	4	74	uses	use	VERB
cana-664	4	75	a	a	DET
cana-664	4	76	variety	variety	NOUN
cana-664	4	77	of	of	ADP
cana-664	4	78	deep	deep	ADJ
cana-664	4	79	learning	learning	NOUN
cana-664	4	80	methods	method	NOUN
cana-664	4	81	to	to	PART
cana-664	4	82	demonstrate	demonstrate	VERB
cana-664	4	83	a	a	DET
cana-664	4	84	more	more	ADV
cana-664	4	85	advanced	advanced	ADJ
cana-664	4	86	way	way	NOUN
cana-664	4	87	of	of	ADP
cana-664	4	88	verifying	verifying	NOUN
cana-664	4	89	images	image	NOUN
cana-664	4	90	.	.	PUNCT
cana-664	5	1	it	it	PRON
cana-664	5	2	uses	use	VERB
cana-664	5	3	resnets	resnet	NOUN
cana-664	5	4	,	,	PUNCT
cana-664	5	5	capsule	capsule	NOUN
cana-664	5	6	networks	network	NOUN
cana-664	5	7	,	,	PUNCT
cana-664	5	8	long	long	ADJ
cana-664	5	9	short	short	ADJ
cana-664	5	10	-	-	PUNCT
cana-664	5	11	term	term	NOUN
cana-664	5	12	memory	memory	NOUN
cana-664	5	13	(	(	PUNCT
cana-664	5	14	lstm	lstm	NOUN
cana-664	5	15	)	)	PUNCT
cana-664	5	16	,	,	PUNCT
cana-664	5	17	generative	generative	ADJ
cana-664	5	18	adversarial	adversarial	ADJ
cana-664	5	19	networks	network	NOUN
cana-664	5	20	(	(	PUNCT
cana-664	5	21	gans	gan	NOUN
cana-664	5	22	)	)	PUNCT
cana-664	5	23	,	,	PUNCT
cana-664	5	24	and	and	CCONJ
cana-664	5	25	convolutional	convolutional	ADJ
cana-664	5	26	neural	neural	ADJ
cana-664	5	27	networks	network	NOUN
cana-664	5	28	(	(	PUNCT
cana-664	5	29	cnns	cnns	PROPN
cana-664	5	30	)	)	PUNCT
cana-664	5	31	.	.	PUNCT
cana-664	6	1	combining	combine	VERB
cana-664	6	2	these	these	DET
cana-664	6	3	state	state	NOUN
cana-664	6	4	-	-	PUNCT
cana-664	6	5	of	of	ADP
cana-664	6	6	-	-	PUNCT
cana-664	6	7	the	the	DET
cana-664	6	8	-	-	PUNCT
cana-664	6	9	art	art	NOUN
cana-664	6	10	algorithms	algorithm	NOUN
cana-664	6	11	makes	make	VERB
cana-664	6	12	the	the	DET
cana-664	6	13	system	system	NOUN
cana-664	6	14	more	more	ADV
cana-664	6	15	accurate	accurate	ADJ
cana-664	6	16	and	and	CCONJ
cana-664	6	17	reliable	reliable	ADJ
cana-664	6	18	at	at	ADP
cana-664	6	19	finding	find	VERB
cana-664	6	20	large	large	ADJ
cana-664	6	21	-	-	PUNCT
cana-664	6	22	scale	scale	NOUN
cana-664	6	23	forgery	forgery	NOUN
cana-664	6	24	in	in	ADP
cana-664	6	25	medical	medical	ADJ
cana-664	6	26	pictures	picture	NOUN
cana-664	6	27	.	.	PUNCT
cana-664	7	1	in	in	ADP
cana-664	7	2	response	response	NOUN
cana-664	7	3	to	to	ADP
cana-664	7	4	the	the	DET
cana-664	7	5	growing	grow	VERB
cana-664	7	6	danger	danger	NOUN
cana-664	7	7	of	of	ADP
cana-664	7	8	digitally	digitally	ADV
cana-664	7	9	changing	change	VERB
cana-664	7	10	healthcare	healthcare	NOUN
cana-664	7	11	images	image	NOUN
cana-664	7	12	,	,	PUNCT
cana-664	7	13	this	this	DET
cana-664	7	14	study	study	NOUN
cana-664	7	15	creates	create	VERB
cana-664	7	16	a	a	DET
cana-664	7	17	new	new	ADJ
cana-664	7	18	,	,	PUNCT
cana-664	7	19	more	more	ADV
cana-664	7	20	thorough	thorough	ADJ
cana-664	7	21	approach	approach	NOUN
cana-664	7	22	that	that	PRON
cana-664	7	23	goes	go	VERB
cana-664	7	24	beyond	beyond	ADP
cana-664	7	25	current	current	ADJ
cana-664	7	26	methods	method	NOUN
cana-664	7	27	.	.	PUNCT
cana-664	8	1	forgery	forgery	NOUN
cana-664	8	2	identification	identification	NOUN
cana-664	8	3	depends	depend	VERB
cana-664	8	4	on	on	ADP
cana-664	8	5	cnns	cnn	NOUN
cana-664	8	6	,	,	PUNCT
cana-664	8	7	which	which	PRON
cana-664	8	8	make	make	VERB
cana-664	8	9	it	it	PRON
cana-664	8	10	possible	possible	ADJ
cana-664	8	11	to	to	PART
cana-664	8	12	pull	pull	VERB
cana-664	8	13	out	out	ADP
cana-664	8	14	complex	complex	ADJ
cana-664	8	15	picture	picture	NOUN
cana-664	8	16	data	datum	NOUN
cana-664	8	17	.	.	PUNCT
cana-664	9	1	additionally	additionally	ADV
cana-664	9	2	,	,	PUNCT
cana-664	9	3	resnets	resnet	NOUN
cana-664	9	4	add	add	VERB
cana-664	9	5	more	more	ADJ
cana-664	9	6	detail	detail	NOUN
cana-664	9	7	to	to	ADP
cana-664	9	8	models	model	NOUN
cana-664	9	9	,	,	PUNCT
cana-664	9	10	which	which	PRON
cana-664	9	11	makes	make	VERB
cana-664	9	12	it	it	PRON
cana-664	9	13	easier	easy	ADJ
cana-664	9	14	to	to	PART
cana-664	9	15	spot	spot	VERB
cana-664	9	16	subtle	subtle	ADJ
cana-664	9	17	trends	trend	NOUN
cana-664	9	18	that	that	PRON
cana-664	9	19	point	point	VERB
cana-664	9	20	to	to	ADP
cana-664	9	21	tampering	tamper	VERB
cana-664	9	22	.	.	PUNCT
cana-664	10	1	using	use	VERB
cana-664	10	2	capsule	capsule	NOUN
cana-664	10	3	networks	network	NOUN
cana-664	10	4	gives	give	VERB
cana-664	10	5	the	the	DET
cana-664	10	6	model	model	NOUN
cana-664	10	7	a	a	DET
cana-664	10	8	new	new	ADJ
cana-664	10	9	point	point	NOUN
cana-664	10	10	of	of	ADP
cana-664	10	11	view	view	NOUN
cana-664	10	12	and	and	CCONJ
cana-664	10	13	lets	let	VERB
cana-664	10	14	it	it	PRON
cana-664	10	15	store	store	VERB
cana-664	10	16	structured	structured	ADJ
cana-664	10	17	connections	connection	NOUN
cana-664	10	18	within	within	ADP
cana-664	10	19	pictures	picture	NOUN
cana-664	10	20	,	,	PUNCT
cana-664	10	21	which	which	PRON
cana-664	10	22	improves	improve	VERB
cana-664	10	23	its	its	PRON
cana-664	10	24	ability	ability	NOUN
cana-664	10	25	to	to	PART
cana-664	10	26	identify	identify	VERB
cana-664	10	27	things	thing	NOUN
cana-664	10	28	.	.	PUNCT
cana-664	11	1	according	accord	VERB
cana-664	11	2	to	to	ADP
cana-664	11	3	research	research	NOUN
cana-664	11	4	,	,	PUNCT
cana-664	11	5	lstm	lstm	ADJ
cana-664	11	6	networks	network	NOUN
cana-664	11	7	help	help	VERB
cana-664	11	8	the	the	DET
cana-664	11	9	system	system	NOUN
cana-664	11	10	understand	understand	VERB
cana-664	11	11	time	time	NOUN
cana-664	11	12	better	well	ADV
cana-664	11	13	,	,	PUNCT
cana-664	11	14	which	which	PRON
cana-664	11	15	is	be	AUX
cana-664	11	16	important	important	ADJ
cana-664	11	17	for	for	ADP
cana-664	11	18	finding	find	VERB
cana-664	11	19	small	small	ADJ
cana-664	11	20	changes	change	NOUN
cana-664	11	21	between	between	ADP
cana-664	11	22	medical	medical	ADJ
cana-664	11	23	scans	scan	NOUN
cana-664	11	24	.	.	PUNCT
cana-664	12	1	additionally	additionally	ADV
cana-664	12	2	,	,	PUNCT
cana-664	12	3	using	use	VERB
cana-664	12	4	gans	gan	NOUN
cana-664	12	5	adds	add	VERB
cana-664	12	6	a	a	DET
cana-664	12	7	special	special	ADJ
cana-664	12	8	competitive	competitive	ADJ
cana-664	12	9	element	element	NOUN
cana-664	12	10	that	that	PRON
cana-664	12	11	helps	help	VERB
cana-664	12	12	the	the	DET
cana-664	12	13	model	model	NOUN
cana-664	12	14	tell	tell	VERB
cana-664	12	15	the	the	DET
cana-664	12	16	difference	difference	NOUN
cana-664	12	17	between	between	ADP
cana-664	12	18	real	real	ADJ
cana-664	12	19	and	and	CCONJ
cana-664	12	20	fake	fake	ADJ
cana-664	12	21	pictures	picture	NOUN
cana-664	12	22	through	through	ADP
cana-664	12	23	training	training	NOUN
cana-664	12	24	against	against	ADP
cana-664	12	25	other	other	ADJ
cana-664	12	26	models	model	NOUN
cana-664	12	27	.	.	PUNCT
cana-664	13	1	after	after	ADP
cana-664	13	2	a	a	DET
cana-664	13	3	lot	lot	NOUN
cana-664	13	4	of	of	ADP
cana-664	13	5	testing	testing	NOUN
cana-664	13	6	and	and	CCONJ
cana-664	13	7	improvement	improvement	NOUN
cana-664	13	8	,	,	PUNCT
cana-664	13	9	the	the	DET
cana-664	13	10	suggested	suggest	VERB
cana-664	13	11	way	way	NOUN
cana-664	13	12	works	work	VERB
cana-664	13	13	better	well	ADV
cana-664	13	14	than	than	ADP
cana-664	13	15	others	other	NOUN
cana-664	13	16	at	at	ADP
cana-664	13	17	finding	find	VERB
cana-664	13	18	fake	fake	ADJ
cana-664	13	19	activities	activity	NOUN
cana-664	13	20	in	in	ADP
cana-664	13	21	medical	medical	ADJ
cana-664	13	22	images	image	NOUN
cana-664	13	23	.	.	PUNCT
cana-664	14	1	utilizing	utilize	VERB
cana-664	14	2	cuttingedge	cuttingedge	ADJ
cana-664	14	3	deep	deep	ADJ
cana-664	14	4	learning	learning	NOUN
cana-664	14	5	methods	method	NOUN
cana-664	14	6	and	and	CCONJ
cana-664	14	7	mathematical	mathematical	ADJ
cana-664	14	8	models	model	NOUN
cana-664	14	9	together	together	ADV
cana-664	14	10	,	,	PUNCT
cana-664	14	11	this	this	DET
cana-664	14	12	method	method	NOUN
cana-664	14	13	guarantees	guarantee	VERB
cana-664	14	14	the	the	DET
cana-664	14	15	accuracy	accuracy	NOUN
cana-664	14	16	and	and	CCONJ
cana-664	14	17	trustworthiness	trustworthiness	NOUN
cana-664	14	18	of	of	ADP
cana-664	14	19	medical	medical	ADJ
cana-664	14	20	data	datum	NOUN
cana-664	14	21	,	,	PUNCT
cana-664	14	22	which	which	PRON
cana-664	14	23	builds	build	VERB
cana-664	14	24	trust	trust	NOUN
cana-664	14	25	in	in	ADP
cana-664	14	26	healthcare	healthcare	PROPN
cana-664	14	27	systems	system	NOUN
cana-664	14	28	.	.	PUNCT
cana-664	15	1	to	to	PART
cana-664	15	2	test	test	VERB
cana-664	15	3	the	the	DET
cana-664	15	4	suggested	suggested	ADJ
cana-664	15	5	way	way	NOUN
cana-664	15	6	,	,	PUNCT
cana-664	15	7	a	a	DET
cana-664	15	8	normal	normal	ADJ
cana-664	15	9	set	set	NOUN
cana-664	15	10	of	of	ADP
cana-664	15	11	medical	medical	ADJ
cana-664	15	12	picture	picture	NOUN
cana-664	15	13	datasets	dataset	NOUN
cana-664	15	14	with	with	ADP
cana-664	15	15	various	various	ADJ
cana-664	15	16	types	type	NOUN
cana-664	15	17	of	of	ADP
cana-664	15	18	fakes	fake	NOUN
cana-664	15	19	are	be	AUX
cana-664	15	20	used	use	VERB
cana-664	15	21	.	.	PUNCT
cana-664	16	1	these	these	PRON
cana-664	16	2	include	include	VERB
cana-664	16	3	copy	copy	NOUN
cana-664	16	4	-	-	PUNCT
cana-664	16	5	move	move	NOUN
cana-664	16	6	,	,	PUNCT
cana-664	16	7	cutting	cutting	NOUN
cana-664	16	8	,	,	PUNCT
cana-664	16	9	and	and	CCONJ
cana-664	16	10	editing	editing	NOUN
cana-664	16	11	.	.	PUNCT
cana-664	17	1	experiments	experiment	NOUN
cana-664	17	2	show	show	VERB
cana-664	17	3	that	that	SCONJ
cana-664	17	4	the	the	DET
cana-664	17	5	multi	multi	ADJ
cana-664	17	6	-	-	ADJ
cana-664	17	7	modal	modal	ADJ
cana-664	17	8	method	method	NOUN
cana-664	17	9	is	be	AUX
cana-664	17	10	a	a	DET
cana-664	17	11	good	good	ADJ
cana-664	17	12	way	way	NOUN
cana-664	17	13	to	to	PART
cana-664	17	14	find	find	VERB
cana-664	17	15	and	and	CCONJ
cana-664	17	16	pinpoint	pinpoint	VERB
cana-664	17	17	faked	fake	VERB
cana-664	17	18	areas	area	NOUN
cana-664	17	19	because	because	SCONJ
cana-664	17	20	it	it	PRON
cana-664	17	21	is	be	AUX
cana-664	17	22	very	very	ADV
cana-664	17	23	accurate	accurate	ADJ
cana-664	17	24	and	and	CCONJ
cana-664	17	25	not	not	PART
cana-664	17	26	easily	easily	ADV
cana-664	17	27	duplicated	duplicate	VERB
cana-664	17	28	by	by	ADP
cana-664	17	29	different	different	ADJ
cana-664	17	30	types	type	NOUN
cana-664	17	31	of	of	ADP
cana-664	17	32	fraud	fraud	NOUN
cana-664	17	33	.	.	PUNCT
cana-664	18	1	keywords	keyword	NOUN
cana-664	18	2	:	:	PUNCT
cana-664	18	3	image	image	NOUN
cana-664	18	4	authentication	authentication	NOUN
cana-664	18	5	,	,	PUNCT
cana-664	18	6	deep	deep	ADJ
cana-664	18	7	learning	learning	NOUN
cana-664	18	8	,	,	PUNCT
cana-664	18	9	medical	medical	ADJ
cana-664	18	10	images	image	NOUN
cana-664	18	11	,	,	PUNCT
cana-664	18	12	forgery	forgery	NOUN
cana-664	18	13	detection	detection	NOUN
cana-664	18	14	,	,	PUNCT
cana-664	18	15	healthcare	healthcare	PROPN
cana-664	18	16	,	,	PUNCT
cana-664	18	17	convolutional	convolutional	ADJ
cana-664	18	18	neural	neural	ADJ
cana-664	18	19	networks	network	NOUN
cana-664	18	20	.	.	PUNCT
cana-664	19	1	1	1	X
cana-664	19	2	.	.	X
cana-664	19	3	introduction	introduction	NOUN
cana-664	19	4	a.	a.	NOUN
cana-664	19	5	background	background	NOUN
cana-664	19	6	the	the	DET
cana-664	19	7	history	history	NOUN
cana-664	19	8	of	of	ADP
cana-664	19	9	picture	picture	NOUN
cana-664	19	10	identification	identification	NOUN
cana-664	19	11	in	in	ADP
cana-664	19	12	healthcare	healthcare	NOUN
cana-664	19	13	goes	go	VERB
cana-664	19	14	back	back	ADV
cana-664	19	15	to	to	ADP
cana-664	19	16	the	the	DET
cana-664	19	17	fact	fact	NOUN
cana-664	19	18	that	that	SCONJ
cana-664	19	19	medical	medical	ADJ
cana-664	19	20	imaging	imaging	NOUN
cana-664	19	21	is	be	AUX
cana-664	19	22	being	be	AUX
cana-664	19	23	used	use	VERB
cana-664	19	24	more	more	ADJ
cana-664	19	25	and	and	CCONJ
cana-664	19	26	more	more	ADJ
cana-664	19	27	for	for	ADP
cana-664	19	28	study	study	NOUN
cana-664	19	29	,	,	PUNCT
cana-664	19	30	evaluation	evaluation	NOUN
cana-664	19	31	,	,	PUNCT
cana-664	19	32	and	and	CCONJ
cana-664	19	33	planning	planning	NOUN
cana-664	19	34	treatments	treatment	NOUN
cana-664	19	35	.	.	PUNCT
cana-664	20	1	an	an	DET
cana-664	20	2	x	x	NOUN
cana-664	20	3	-	-	NOUN
cana-664	20	4	ray	ray	NOUN
cana-664	20	5	,	,	PUNCT
cana-664	20	6	an	an	DET
cana-664	20	7	mri	mri	NOUN
cana-664	20	8	,	,	PUNCT
cana-664	20	9	a	a	DET
cana-664	20	10	computed	computed	ADJ
cana-664	20	11	tomography	tomography	NOUN
cana-664	20	12	(	(	PUNCT
cana-664	20	13	ct	ct	PROPN
cana-664	20	14	)	)	PUNCT
cana-664	20	15	,	,	PUNCT
cana-664	20	16	or	or	CCONJ
cana-664	20	17	an	an	DET
cana-664	20	18	ultrasound	ultrasound	NOUN
cana-664	20	19	are	be	AUX
cana-664	20	20	all	all	PRON
cana-664	20	21	types	type	NOUN
cana-664	20	22	of	of	ADP
cana-664	20	23	medical	medical	ADJ
cana-664	20	24	imaging	imaging	NOUN
cana-664	20	25	that	that	PRON
cana-664	20	26	can	can	AUX
cana-664	20	27	tell	tell	VERB
cana-664	20	28	you	you	PRON
cana-664	20	29	a	a	DET
cana-664	20	30	lot	lot	NOUN
cana-664	20	31	about	about	ADP
cana-664	20	32	the	the	DET
cana-664	20	33	mailto:neoleba@rknec.edu	mailto:neoleba@rknec.edu	PROPN
cana-664	20	34	mailto:alkarias@rknec.edu	mailto:alkarias@rknec.edu	VERB
cana-664	20	35	mailto:daymagp@rknec.edu	mailto:daymagp@rknec.edu	PROPN
cana-664	20	36	communications	communication	NOUN
cana-664	20	37	on	on	ADP
cana-664	20	38	applied	apply	VERB
cana-664	20	39	nonlinear	nonlinear	ADJ
cana-664	20	40	analysis	analysis	NOUN
cana-664	20	41	issn	issn	NOUN
cana-664	20	42	:	:	PUNCT
cana-664	20	43	1074	1074	NUM
cana-664	20	44	-	-	PUNCT
cana-664	20	45	133x	133x	NUM
cana-664	20	46	vol	vol	NOUN
cana-664	20	47	31	31	NUM
cana-664	20	48	no	no	NOUN
cana-664	20	49	.	.	PUNCT
cana-664	21	1	2s	2s	NUM
cana-664	21	2	(	(	PUNCT
cana-664	21	3	2024	2024	NUM
cana-664	21	4	)	)	PUNCT
cana-664	21	5	516	516	NUM
cana-664	21	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-664	21	7	shape	shape	NOUN
cana-664	21	8	and	and	CCONJ
cana-664	21	9	function	function	NOUN
cana-664	21	10	of	of	ADP
cana-664	21	11	the	the	DET
cana-664	21	12	human	human	ADJ
cana-664	21	13	body	body	NOUN
cana-664	21	14	.	.	PUNCT
cana-664	22	1	these	these	DET
cana-664	22	2	images	image	NOUN
cana-664	22	3	are	be	AUX
cana-664	22	4	very	very	ADV
cana-664	22	5	important	important	ADJ
cana-664	22	6	for	for	SCONJ
cana-664	22	7	doctors	doctor	NOUN
cana-664	22	8	to	to	PART
cana-664	22	9	correctly	correctly	ADV
cana-664	22	10	identify	identify	VERB
cana-664	22	11	illnesses	illness	NOUN
cana-664	22	12	,	,	PUNCT
cana-664	22	13	keep	keep	VERB
cana-664	22	14	track	track	NOUN
cana-664	22	15	of	of	ADP
cana-664	22	16	how	how	SCONJ
cana-664	22	17	well	well	ADV
cana-664	22	18	treatments	treatment	NOUN
cana-664	22	19	are	be	AUX
cana-664	22	20	working	work	VERB
cana-664	22	21	,	,	PUNCT
cana-664	22	22	and	and	CCONJ
cana-664	22	23	plan	plan	VERB
cana-664	22	24	surgeries	surgery	NOUN
cana-664	22	25	.	.	PUNCT
cana-664	23	1	however	however	ADV
cana-664	23	2	,	,	PUNCT
cana-664	23	3	since	since	SCONJ
cana-664	23	4	film	film	NOUN
cana-664	23	5	-	-	PUNCT
cana-664	23	6	based	base	VERB
cana-664	23	7	photography	photography	NOUN
cana-664	23	8	has	have	AUX
cana-664	23	9	been	be	AUX
cana-664	23	10	replaced	replace	VERB
cana-664	23	11	by	by	ADP
cana-664	23	12	digital	digital	ADJ
cana-664	23	13	forms	form	NOUN
cana-664	23	14	,	,	PUNCT
cana-664	23	15	the	the	DET
cana-664	23	16	chance	chance	NOUN
cana-664	23	17	of	of	ADP
cana-664	23	18	picture	picture	NOUN
cana-664	23	19	editing	editing	NOUN
cana-664	23	20	and	and	CCONJ
cana-664	23	21	forgery	forgery	NOUN
cana-664	23	22	has	have	AUX
cana-664	23	23	become	become	VERB
cana-664	23	24	a	a	DET
cana-664	23	25	major	major	ADJ
cana-664	23	26	issue	issue	NOUN
cana-664	23	27	.	.	PUNCT
cana-664	24	1	digital	digital	ADJ
cana-664	24	2	images	image	NOUN
cana-664	24	3	are	be	AUX
cana-664	24	4	naturally	naturally	ADV
cana-664	24	5	easier	easy	ADJ
cana-664	24	6	to	to	PART
cana-664	24	7	change	change	VERB
cana-664	24	8	,	,	PUNCT
cana-664	24	9	and	and	CCONJ
cana-664	24	10	these	these	DET
cana-664	24	11	changes	change	NOUN
cana-664	24	12	can	can	AUX
cana-664	24	13	be	be	AUX
cana-664	24	14	as	as	ADV
cana-664	24	15	simple	simple	ADJ
cana-664	24	16	as	as	ADP
cana-664	24	17	adding	add	VERB
cana-664	24	18	a	a	DET
cana-664	24	19	border	border	NOUN
cana-664	24	20	or	or	CCONJ
cana-664	24	21	as	as	ADV
cana-664	24	22	complex	complex	ADJ
cana-664	24	23	as	as	ADP
cana-664	24	24	trying	try	VERB
cana-664	24	25	to	to	PART
cana-664	24	26	trick	trick	VERB
cana-664	24	27	researchers	researcher	NOUN
cana-664	24	28	or	or	CCONJ
cana-664	24	29	healthcare	healthcare	NOUN
cana-664	24	30	experts	expert	NOUN
cana-664	24	31	[	[	X
cana-664	24	32	1	1	NUM
cana-664	24	33	]	]	PUNCT
cana-664	24	34	.	.	PUNCT
cana-664	25	1	changing	change	VERB
cana-664	25	2	the	the	DET
cana-664	25	3	way	way	NOUN
cana-664	25	4	tumors	tumor	NOUN
cana-664	25	5	look	look	VERB
cana-664	25	6	in	in	ADP
cana-664	25	7	medical	medical	ADJ
cana-664	25	8	images	image	NOUN
cana-664	25	9	,	,	PUNCT
cana-664	25	10	for	for	ADP
cana-664	25	11	example	example	NOUN
cana-664	25	12	,	,	PUNCT
cana-664	25	13	can	can	AUX
cana-664	25	14	lead	lead	VERB
cana-664	25	15	to	to	ADP
cana-664	25	16	wrong	wrong	ADJ
cana-664	25	17	diagnoses	diagnosis	NOUN
cana-664	25	18	or	or	CCONJ
cana-664	25	19	bad	bad	ADJ
cana-664	25	20	treatment	treatment	NOUN
cana-664	25	21	choices	choice	NOUN
cana-664	25	22	,	,	PUNCT
cana-664	25	23	which	which	PRON
cana-664	25	24	is	be	AUX
cana-664	25	25	very	very	ADV
cana-664	25	26	dangerous	dangerous	ADJ
cana-664	25	27	for	for	ADP
cana-664	25	28	the	the	DET
cana-664	25	29	patient	patient	NOUN
cana-664	25	30	.	.	PUNCT
cana-664	26	1	it	it	PRON
cana-664	26	2	's	be	AUX
cana-664	26	3	impossible	impossible	ADJ
cana-664	26	4	to	to	PART
cana-664	26	5	say	say	VERB
cana-664	26	6	enough	enough	ADJ
cana-664	26	7	about	about	ADP
cana-664	26	8	how	how	SCONJ
cana-664	26	9	important	important	ADJ
cana-664	26	10	picture	picture	NOUN
cana-664	26	11	validity	validity	NOUN
cana-664	26	12	is	be	AUX
cana-664	26	13	in	in	ADP
cana-664	26	14	healthcare	healthcare	NOUN
cana-664	26	15	.	.	PUNCT
cana-664	27	1	both	both	PRON
cana-664	27	2	patient	patient	ADJ
cana-664	27	3	care	care	NOUN
cana-664	27	4	and	and	CCONJ
cana-664	27	5	medical	medical	ADJ
cana-664	27	6	study	study	NOUN
cana-664	27	7	depend	depend	VERB
cana-664	27	8	on	on	ADP
cana-664	27	9	medical	medical	ADJ
cana-664	27	10	photos	photo	NOUN
cana-664	27	11	being	be	AUX
cana-664	27	12	accurate	accurate	ADJ
cana-664	27	13	and	and	CCONJ
cana-664	27	14	reliable	reliable	ADJ
cana-664	27	15	.	.	PUNCT
cana-664	28	1	authenticity	authenticity	NOUN
cana-664	28	2	makes	make	VERB
cana-664	28	3	sure	sure	ADJ
cana-664	28	4	that	that	SCONJ
cana-664	28	5	the	the	DET
cana-664	28	6	information	information	NOUN
cana-664	28	7	these	these	DET
cana-664	28	8	images	image	NOUN
cana-664	28	9	show	show	VERB
cana-664	28	10	is	be	AUX
cana-664	28	11	correct	correct	ADJ
cana-664	28	12	and	and	CCONJ
cana-664	28	13	has	have	AUX
cana-664	28	14	not	not	PART
cana-664	28	15	been	be	AUX
cana-664	28	16	changed	change	VERB
cana-664	28	17	,	,	PUNCT
cana-664	28	18	which	which	PRON
cana-664	28	19	protects	protect	VERB
cana-664	28	20	patients	patient	NOUN
cana-664	28	21	'	'	PART
cana-664	28	22	health	health	NOUN
cana-664	28	23	and	and	CCONJ
cana-664	28	24	the	the	DET
cana-664	28	25	accuracy	accuracy	NOUN
cana-664	28	26	of	of	ADP
cana-664	28	27	research	research	NOUN
cana-664	28	28	results	result	NOUN
cana-664	28	29	.	.	PUNCT
cana-664	29	1	because	because	SCONJ
cana-664	29	2	of	of	ADP
cana-664	29	3	this	this	PRON
cana-664	29	4	,	,	PUNCT
cana-664	29	5	we	we	PRON
cana-664	29	6	urgently	urgently	ADV
cana-664	29	7	need	need	VERB
cana-664	29	8	strong	strong	ADJ
cana-664	29	9	ways	way	NOUN
cana-664	29	10	to	to	PART
cana-664	29	11	confirm	confirm	VERB
cana-664	29	12	the	the	DET
cana-664	29	13	authenticity	authenticity	NOUN
cana-664	29	14	of	of	ADP
cana-664	29	15	medical	medical	ADJ
cana-664	29	16	images	image	NOUN
cana-664	29	17	and	and	CCONJ
cana-664	29	18	find	find	VERB
cana-664	29	19	any	any	DET
cana-664	29	20	possible	possible	ADJ
cana-664	29	21	changes	change	NOUN
cana-664	29	22	or	or	CCONJ
cana-664	29	23	fakes	fake	NOUN
cana-664	29	24	[	[	X
cana-664	29	25	2],[9	2],[9	NUM
cana-664	29	26	]	]	PUNCT
cana-664	29	27	.	.	PUNCT
cana-664	30	1	some	some	DET
cana-664	30	2	traditional	traditional	ADJ
cana-664	30	3	ways	way	NOUN
cana-664	30	4	of	of	ADP
cana-664	30	5	authenticating	authenticating	NOUN
cana-664	30	6	images	image	NOUN
cana-664	30	7	,	,	PUNCT
cana-664	30	8	like	like	ADP
cana-664	30	9	watermarking	watermarke	VERB
cana-664	30	10	and	and	CCONJ
cana-664	30	11	digital	digital	ADJ
cana-664	30	12	signatures	signature	NOUN
cana-664	30	13	,	,	PUNCT
cana-664	30	14	have	have	AUX
cana-664	30	15	been	be	AUX
cana-664	30	16	used	use	VERB
cana-664	30	17	,	,	PUNCT
cana-664	30	18	but	but	CCONJ
cana-664	30	19	they	they	PRON
cana-664	30	20	are	be	AUX
cana-664	30	21	n't	not	PART
cana-664	30	22	very	very	ADV
cana-664	30	23	good	good	ADJ
cana-664	30	24	at	at	ADP
cana-664	30	25	finding	find	VERB
cana-664	30	26	complex	complex	ADJ
cana-664	30	27	changes	change	NOUN
cana-664	30	28	and	and	CCONJ
cana-664	30	29	fakes	fake	NOUN
cana-664	30	30	.	.	PUNCT
cana-664	31	1	because	because	SCONJ
cana-664	31	2	of	of	ADP
cana-664	31	3	this	this	PRON
cana-664	31	4	,	,	PUNCT
cana-664	31	5	there	there	PRON
cana-664	31	6	is	be	VERB
cana-664	31	7	more	more	ADV
cana-664	31	8	and	and	CCONJ
cana-664	31	9	more	more	ADJ
cana-664	31	10	interest	interest	NOUN
cana-664	31	11	in	in	ADP
cana-664	31	12	using	use	VERB
cana-664	31	13	cutting	cut	VERB
cana-664	31	14	edge	edge	NOUN
cana-664	31	15	technologies	technology	NOUN
cana-664	31	16	,	,	PUNCT
cana-664	31	17	especially	especially	ADV
cana-664	31	18	deep	deep	ADJ
cana-664	31	19	learning	learning	NOUN
cana-664	31	20	,	,	PUNCT
cana-664	31	21	to	to	PART
cana-664	31	22	solve	solve	VERB
cana-664	31	23	this	this	DET
cana-664	31	24	problem	problem	NOUN
cana-664	31	25	[	[	X
cana-664	31	26	3	3	NUM
cana-664	31	27	]	]	PUNCT
cana-664	31	28	,	,	PUNCT
cana-664	31	29	[	[	X
cana-664	31	30	8	8	NUM
cana-664	31	31	]	]	PUNCT
cana-664	31	32	.	.	PUNCT
cana-664	32	1	deep	deep	ADJ
cana-664	32	2	learning	learning	NOUN
cana-664	32	3	methods	method	NOUN
cana-664	32	4	are	be	AUX
cana-664	32	5	very	very	ADV
cana-664	32	6	good	good	ADJ
cana-664	32	7	at	at	ADP
cana-664	32	8	studying	study	VERB
cana-664	32	9	and	and	CCONJ
cana-664	32	10	making	make	VERB
cana-664	32	11	sense	sense	NOUN
cana-664	32	12	of	of	ADP
cana-664	32	13	large	large	ADJ
cana-664	32	14	amounts	amount	NOUN
cana-664	32	15	of	of	ADP
cana-664	32	16	data	datum	NOUN
cana-664	32	17	,	,	PUNCT
cana-664	32	18	which	which	PRON
cana-664	32	19	makes	make	VERB
cana-664	32	20	them	they	PRON
cana-664	32	21	perfect	perfect	ADJ
cana-664	32	22	for	for	ADP
cana-664	32	23	jobs	job	NOUN
cana-664	32	24	like	like	ADP
cana-664	32	25	verifying	verifying	NOUN
cana-664	32	26	images	image	NOUN
cana-664	32	27	.	.	PUNCT
cana-664	33	1	image	image	NOUN
cana-664	33	2	verification	verification	NOUN
cana-664	33	3	is	be	AUX
cana-664	33	4	an	an	DET
cana-664	33	5	important	important	ADJ
cana-664	33	6	part	part	NOUN
cana-664	33	7	of	of	ADP
cana-664	33	8	healthcare	healthcare	NOUN
cana-664	33	9	for	for	ADP
cana-664	33	10	making	make	VERB
cana-664	33	11	sure	sure	ADJ
cana-664	33	12	that	that	SCONJ
cana-664	33	13	medical	medical	ADJ
cana-664	33	14	imaging	imaging	NOUN
cana-664	33	15	data	datum	NOUN
cana-664	33	16	is	be	AUX
cana-664	33	17	correct	correct	ADJ
cana-664	33	18	and	and	CCONJ
cana-664	33	19	reliable	reliable	ADJ
cana-664	33	20	.	.	PUNCT
cana-664	34	1	as	as	SCONJ
cana-664	34	2	healthcare	healthcare	NOUN
cana-664	34	3	systems	system	NOUN
cana-664	34	4	become	become	VERB
cana-664	34	5	more	more	ADV
cana-664	34	6	digital	digital	ADJ
cana-664	34	7	and	and	CCONJ
cana-664	34	8	medical	medical	ADJ
cana-664	34	9	imaging	imaging	NOUN
cana-664	34	10	tools	tool	NOUN
cana-664	34	11	like	like	ADP
cana-664	34	12	x	x	NOUN
cana-664	34	13	-	-	NOUN
cana-664	34	14	rays	ray	NOUN
cana-664	34	15	,	,	PUNCT
cana-664	34	16	mris	mris	NOUN
cana-664	34	17	,	,	PUNCT
cana-664	34	18	and	and	CCONJ
cana-664	34	19	ct	ct	NUM
cana-664	34	20	scans	scan	NOUN
cana-664	34	21	become	become	VERB
cana-664	34	22	more	more	ADV
cana-664	34	23	common	common	ADJ
cana-664	34	24	,	,	PUNCT
cana-664	34	25	it	it	PRON
cana-664	34	26	is	be	AUX
cana-664	34	27	more	more	ADV
cana-664	34	28	important	important	ADJ
cana-664	34	29	than	than	ADP
cana-664	34	30	ever	ever	ADV
cana-664	34	31	to	to	PART
cana-664	34	32	make	make	VERB
cana-664	34	33	sure	sure	ADJ
cana-664	34	34	that	that	SCONJ
cana-664	34	35	these	these	DET
cana-664	34	36	images	image	NOUN
cana-664	34	37	are	be	AUX
cana-664	34	38	real	real	ADJ
cana-664	34	39	.	.	PUNCT
cana-664	35	1	it	it	PRON
cana-664	35	2	is	be	AUX
cana-664	35	3	very	very	ADV
cana-664	35	4	important	important	ADJ
cana-664	35	5	to	to	PART
cana-664	35	6	find	find	VERB
cana-664	35	7	any	any	DET
cana-664	35	8	possible	possible	ADJ
cana-664	35	9	changes	change	NOUN
cana-664	35	10	or	or	CCONJ
cana-664	35	11	fakes	fake	NOUN
cana-664	35	12	in	in	ADP
cana-664	35	13	medical	medical	ADJ
cana-664	35	14	images	image	NOUN
cana-664	35	15	because	because	SCONJ
cana-664	35	16	they	they	PRON
cana-664	35	17	have	have	VERB
cana-664	35	18	a	a	DET
cana-664	35	19	direct	direct	ADJ
cana-664	35	20	effect	effect	NOUN
cana-664	35	21	on	on	ADP
cana-664	35	22	patient	patient	ADJ
cana-664	35	23	care	care	NOUN
cana-664	35	24	,	,	PUNCT
cana-664	35	25	professional	professional	ADJ
cana-664	35	26	decision	decision	NOUN
cana-664	35	27	-	-	PUNCT
cana-664	35	28	making	making	NOUN
cana-664	35	29	,	,	PUNCT
cana-664	35	30	and	and	CCONJ
cana-664	35	31	medical	medical	ADJ
cana-664	35	32	study	study	NOUN
cana-664	36	1	[	[	X
cana-664	36	2	4].traditional	4].traditional	ADJ
cana-664	36	3	ways	way	NOUN
cana-664	36	4	of	of	ADP
cana-664	36	5	verifying	verifying	NOUN
cana-664	36	6	images	image	NOUN
cana-664	36	7	,	,	PUNCT
cana-664	36	8	like	like	ADP
cana-664	36	9	watermarking	watermarke	VERB
cana-664	36	10	and	and	CCONJ
cana-664	36	11	digital	digital	ADJ
cana-664	36	12	fingerprints	fingerprint	NOUN
cana-664	36	13	,	,	PUNCT
cana-664	36	14	are	be	AUX
cana-664	36	15	n't	not	PART
cana-664	36	16	very	very	ADV
cana-664	36	17	good	good	ADJ
cana-664	36	18	at	at	ADP
cana-664	36	19	finding	find	VERB
cana-664	36	20	complex	complex	ADJ
cana-664	36	21	changes	change	NOUN
cana-664	36	22	and	and	CCONJ
cana-664	36	23	fakes	fake	NOUN
cana-664	36	24	.	.	PUNCT
cana-664	37	1	because	because	SCONJ
cana-664	37	2	of	of	ADP
cana-664	37	3	this	this	PRON
cana-664	37	4	,	,	PUNCT
cana-664	37	5	there	there	PRON
cana-664	37	6	is	be	VERB
cana-664	37	7	more	more	ADV
cana-664	37	8	and	and	CCONJ
cana-664	37	9	more	more	ADJ
cana-664	37	10	interest	interest	NOUN
cana-664	37	11	in	in	ADP
cana-664	37	12	using	use	VERB
cana-664	37	13	cutting	cut	VERB
cana-664	37	14	edge	edge	NOUN
cana-664	37	15	technologies	technology	NOUN
cana-664	37	16	,	,	PUNCT
cana-664	37	17	especially	especially	ADV
cana-664	37	18	deep	deep	ADJ
cana-664	37	19	learning	learning	NOUN
cana-664	37	20	,	,	PUNCT
cana-664	37	21	to	to	PART
cana-664	37	22	solve	solve	VERB
cana-664	37	23	this	this	DET
cana-664	37	24	problem	problem	NOUN
cana-664	37	25	.	.	PUNCT
cana-664	38	1	many	many	ADJ
cana-664	38	2	types	type	NOUN
cana-664	38	3	of	of	ADP
cana-664	38	4	deep	deep	ADJ
cana-664	38	5	learning	learning	NOUN
cana-664	38	6	,	,	PUNCT
cana-664	38	7	like	like	ADP
cana-664	38	8	convolutional	convolutional	ADJ
cana-664	38	9	neural	neural	ADJ
cana-664	38	10	networks	network	NOUN
cana-664	38	11	(	(	PUNCT
cana-664	38	12	cnns	cnns	PROPN
cana-664	38	13	)	)	PUNCT
cana-664	38	14	,	,	PUNCT
cana-664	38	15	residual	residual	ADJ
cana-664	38	16	networks	network	NOUN
cana-664	38	17	(	(	PUNCT
cana-664	38	18	resnets	resnet	NOUN
cana-664	38	19	)	)	PUNCT
cana-664	38	20	,	,	PUNCT
cana-664	38	21	capsule	capsule	NOUN
cana-664	38	22	networks	network	NOUN
cana-664	38	23	,	,	PUNCT
cana-664	38	24	and	and	CCONJ
cana-664	38	25	generative	generative	ADJ
cana-664	38	26	adversarial	adversarial	ADJ
cana-664	38	27	networks	network	NOUN
cana-664	38	28	(	(	PUNCT
cana-664	38	29	gans	gan	NOUN
cana-664	38	30	)	)	PUNCT
cana-664	38	31	,	,	PUNCT
cana-664	38	32	have	have	AUX
cana-664	38	33	shown	show	VERB
cana-664	38	34	promise	promise	NOUN
cana-664	38	35	in	in	ADP
cana-664	38	36	finding	find	VERB
cana-664	38	37	and	and	CCONJ
cana-664	38	38	locating	locate	VERB
cana-664	38	39	fake	fake	ADJ
cana-664	38	40	areas	area	NOUN
cana-664	38	41	in	in	ADP
cana-664	38	42	medical	medical	ADJ
cana-664	38	43	images	image	NOUN
cana-664	38	44	[	[	X
cana-664	38	45	5	5	NUM
cana-664	38	46	]	]	PUNCT
cana-664	38	47	,	,	PUNCT
cana-664	38	48	[	[	X
cana-664	38	49	10	10	NUM
cana-664	38	50	]	]	PUNCT
cana-664	38	51	.	.	PUNCT
cana-664	39	1	this	this	PRON
cana-664	39	2	is	be	AUX
cana-664	39	3	because	because	SCONJ
cana-664	39	4	cnns	cnn	NOUN
cana-664	39	5	can	can	AUX
cana-664	39	6	easily	easily	ADV
cana-664	39	7	learn	learn	VERB
cana-664	39	8	hierarchical	hierarchical	ADJ
cana-664	39	9	models	model	NOUN
cana-664	39	10	from	from	ADP
cana-664	39	11	raw	raw	ADJ
cana-664	39	12	pixel	pixel	PROPN
cana-664	39	13	data	data	PROPN
cana-664	39	14	,	,	PUNCT
cana-664	39	15	which	which	PRON
cana-664	39	16	makes	make	VERB
cana-664	39	17	them	they	PRON
cana-664	39	18	very	very	ADV
cana-664	39	19	useful	useful	ADJ
cana-664	39	20	for	for	ADP
cana-664	39	21	picture	picture	NOUN
cana-664	39	22	analysis	analysis	NOUN
cana-664	39	23	jobs	job	NOUN
cana-664	39	24	.	.	PUNCT
cana-664	40	1	researchers	researcher	NOUN
cana-664	40	2	have	have	AUX
cana-664	40	3	made	make	VERB
cana-664	40	4	algorithms	algorithm	NOUN
cana-664	40	5	that	that	PRON
cana-664	40	6	can	can	AUX
cana-664	40	7	spot	spot	VERB
cana-664	40	8	minor	minor	ADJ
cana-664	40	9	patterns	pattern	NOUN
cana-664	40	10	and	and	CCONJ
cana-664	40	11	oddities	oddity	NOUN
cana-664	40	12	that	that	PRON
cana-664	40	13	point	point	VERB
cana-664	40	14	to	to	ADP
cana-664	40	15	fake	fake	ADJ
cana-664	40	16	medical	medical	ADJ
cana-664	40	17	images	image	NOUN
cana-664	40	18	by	by	ADP
cana-664	40	19	training	train	VERB
cana-664	40	20	cnn	cnn	PROPN
cana-664	40	21	models	model	NOUN
cana-664	40	22	on	on	ADP
cana-664	40	23	large	large	ADJ
cana-664	40	24	sets	set	NOUN
cana-664	40	25	of	of	ADP
cana-664	40	26	real	real	ADJ
cana-664	40	27	and	and	CCONJ
cana-664	40	28	fake	fake	ADJ
cana-664	40	29	medical	medical	ADJ
cana-664	40	30	images	image	NOUN
cana-664	40	31	[	[	X
cana-664	40	32	6	6	NUM
cana-664	40	33	]	]	PUNCT
cana-664	40	34	.	.	PUNCT
cana-664	41	1	resnets	resnet	NOUN
cana-664	41	2	improve	improve	VERB
cana-664	41	3	cnn	cnn	PROPN
cana-664	41	4	models	model	NOUN
cana-664	41	5	'	'	PART
cana-664	41	6	depth	depth	NOUN
cana-664	41	7	and	and	CCONJ
cana-664	41	8	performance	performance	NOUN
cana-664	41	9	even	even	ADV
cana-664	41	10	more	more	ADV
cana-664	41	11	,	,	PUNCT
cana-664	41	12	making	make	VERB
cana-664	41	13	it	it	PRON
cana-664	41	14	easier	easy	ADJ
cana-664	41	15	to	to	PART
cana-664	41	16	find	find	VERB
cana-664	41	17	fake	fake	ADJ
cana-664	41	18	areas	area	NOUN
cana-664	41	19	even	even	ADV
cana-664	41	20	in	in	ADP
cana-664	41	21	complicated	complicated	ADJ
cana-664	41	22	medical	medical	ADJ
cana-664	41	23	images	image	NOUN
cana-664	41	24	.	.	PUNCT
cana-664	42	1	capsule	capsule	NOUN
cana-664	42	2	networks	network	NOUN
cana-664	42	3	are	be	AUX
cana-664	42	4	a	a	DET
cana-664	42	5	new	new	ADJ
cana-664	42	6	way	way	NOUN
cana-664	42	7	to	to	PART
cana-664	42	8	authenticate	authenticate	VERB
cana-664	42	9	images	image	NOUN
cana-664	42	10	because	because	SCONJ
cana-664	42	11	they	they	PRON
cana-664	42	12	show	show	VERB
cana-664	42	13	the	the	DET
cana-664	42	14	structural	structural	ADJ
cana-664	42	15	connections	connection	NOUN
cana-664	42	16	between	between	ADP
cana-664	42	17	picture	picture	NOUN
cana-664	42	18	parts	part	NOUN
cana-664	42	19	[	[	X
cana-664	42	20	11	11	NUM
cana-664	42	21	]	]	PUNCT
cana-664	42	22	.	.	PUNCT
cana-664	43	1	this	this	PRON
cana-664	43	2	can	can	AUX
cana-664	43	3	help	help	VERB
cana-664	43	4	the	the	DET
cana-664	43	5	model	model	NOUN
cana-664	43	6	understand	understand	VERB
cana-664	43	7	how	how	SCONJ
cana-664	43	8	things	thing	NOUN
cana-664	43	9	are	be	AUX
cana-664	43	10	arranged	arrange	VERB
cana-664	43	11	in	in	ADP
cana-664	43	12	space	space	NOUN
cana-664	43	13	and	and	CCONJ
cana-664	43	14	what	what	PRON
cana-664	43	15	they	they	PRON
cana-664	43	16	mean	mean	VERB
cana-664	43	17	.	.	PUNCT
cana-664	44	1	gans	gan	NOUN
cana-664	44	2	have	have	AUX
cana-664	44	3	also	also	ADV
cana-664	44	4	been	be	AUX
cana-664	44	5	used	use	VERB
cana-664	44	6	to	to	PART
cana-664	44	7	create	create	VERB
cana-664	44	8	realistic	realistic	ADJ
cana-664	44	9	adversarial	adversarial	ADJ
cana-664	44	10	examples	example	NOUN
cana-664	44	11	,	,	PUNCT
cana-664	44	12	which	which	PRON
cana-664	44	13	add	add	VERB
cana-664	44	14	to	to	ADP
cana-664	44	15	the	the	DET
cana-664	44	16	training	training	NOUN
cana-664	44	17	dataset	dataset	NOUN
cana-664	44	18	and	and	CCONJ
cana-664	44	19	make	make	VERB
cana-664	44	20	the	the	DET
cana-664	44	21	model	model	NOUN
cana-664	44	22	more	more	ADV
cana-664	44	23	resistant	resistant	ADJ
cana-664	44	24	to	to	ADP
cana-664	44	25	frauds	fraud	NOUN
cana-664	44	26	that	that	PRON
cana-664	44	27	have	have	AUX
cana-664	44	28	n't	not	PART
cana-664	44	29	been	be	AUX
cana-664	44	30	seen	see	VERB
cana-664	44	31	before	before	ADV
cana-664	44	32	.	.	PUNCT
cana-664	45	1	combining	combine	VERB
cana-664	45	2	several	several	ADJ
cana-664	45	3	deep	deep	ADJ
cana-664	45	4	learning	learning	NOUN
cana-664	45	5	models	model	NOUN
cana-664	45	6	makes	make	VERB
cana-664	45	7	it	it	PRON
cana-664	45	8	possible	possible	ADJ
cana-664	45	9	to	to	PART
cana-664	45	10	take	take	VERB
cana-664	45	11	a	a	DET
cana-664	45	12	complete	complete	ADJ
cana-664	45	13	and	and	CCONJ
cana-664	45	14	effective	effective	ADJ
cana-664	45	15	approach	approach	NOUN
cana-664	45	16	to	to	ADP
cana-664	45	17	healthcare	healthcare	NOUN
cana-664	45	18	picture	picture	NOUN
cana-664	45	19	authentication	authentication	NOUN
cana-664	45	20	.	.	PUNCT
cana-664	46	1	researchers	researcher	NOUN
cana-664	46	2	can	can	AUX
cana-664	46	3	make	make	VERB
cana-664	46	4	complex	complex	ADJ
cana-664	46	5	models	model	NOUN
cana-664	46	6	that	that	PRON
cana-664	46	7	can	can	AUX
cana-664	46	8	spot	spot	VERB
cana-664	46	9	different	different	ADJ
cana-664	46	10	kinds	kind	NOUN
cana-664	46	11	of	of	ADP
cana-664	46	12	fakes	fake	NOUN
cana-664	46	13	very	very	ADV
cana-664	46	14	accurately	accurately	ADV
cana-664	46	15	and	and	CCONJ
cana-664	46	16	reliably	reliably	ADV
cana-664	46	17	by	by	ADP
cana-664	46	18	mixing	mix	VERB
cana-664	46	19	the	the	DET
cana-664	46	20	best	good	ADJ
cana-664	46	21	features	feature	NOUN
cana-664	46	22	of	of	ADP
cana-664	46	23	cnns	cnn	NOUN
cana-664	46	24	,	,	PUNCT
cana-664	46	25	resnets	resnet	NOUN
cana-664	46	26	,	,	PUNCT
cana-664	46	27	capsule	capsule	NOUN
cana-664	46	28	networks	network	NOUN
cana-664	46	29	,	,	PUNCT
cana-664	46	30	lstm	lstm	NOUN
cana-664	46	31	networks	network	NOUN
cana-664	46	32	,	,	PUNCT
cana-664	46	33	and	and	CCONJ
cana-664	46	34	gans	gan	NOUN
cana-664	47	1	[	[	X
cana-664	47	2	7	7	NUM
cana-664	47	3	]	]	PUNCT
cana-664	47	4	.	.	PUNCT
cana-664	48	1	communications	communication	NOUN
cana-664	48	2	on	on	ADP
cana-664	48	3	applied	apply	VERB
cana-664	48	4	nonlinear	nonlinear	ADJ
cana-664	48	5	analysis	analysis	NOUN
cana-664	48	6	issn	issn	NOUN
cana-664	48	7	:	:	PUNCT
cana-664	48	8	1074	1074	NUM
cana-664	48	9	-	-	PUNCT
cana-664	48	10	133x	133x	NUM
cana-664	48	11	vol	vol	NOUN
cana-664	48	12	31	31	NUM
cana-664	48	13	no	no	NOUN
cana-664	48	14	.	.	PUNCT
cana-664	49	1	2s	2s	NUM
cana-664	49	2	(	(	PUNCT
cana-664	49	3	2024	2024	NUM
cana-664	49	4	)	)	PUNCT
cana-664	49	5	517	517	NUM
cana-664	49	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-664	49	7	figure	figure	NOUN
cana-664	49	8	1	1	NUM
cana-664	49	9	:	:	PUNCT
cana-664	49	10	overview	overview	NOUN
cana-664	49	11	of	of	ADP
cana-664	49	12	proposed	propose	VERB
cana-664	49	13	model	model	PROPN
cana-664	49	14	b.	b.	PROPN
cana-664	49	15	overview	overview	NOUN
cana-664	49	16	of	of	ADP
cana-664	49	17	deep	deep	ADJ
cana-664	49	18	learning	learning	NOUN
cana-664	49	19	and	and	CCONJ
cana-664	49	20	its	its	PRON
cana-664	49	21	applications	application	NOUN
cana-664	49	22	in	in	ADP
cana-664	49	23	image	image	NOUN
cana-664	49	24	authentication	authentication	NOUN
cana-664	49	25	artificial	artificial	ADJ
cana-664	49	26	neural	neural	ADJ
cana-664	49	27	networks	network	NOUN
cana-664	49	28	,	,	PUNCT
cana-664	49	29	which	which	PRON
cana-664	49	30	are	be	AUX
cana-664	49	31	based	base	VERB
cana-664	49	32	on	on	ADP
cana-664	49	33	how	how	SCONJ
cana-664	49	34	the	the	DET
cana-664	49	35	human	human	ADJ
cana-664	49	36	brain	brain	NOUN
cana-664	49	37	is	be	AUX
cana-664	49	38	built	build	VERB
cana-664	49	39	and	and	CCONJ
cana-664	49	40	how	how	SCONJ
cana-664	49	41	it	it	PRON
cana-664	49	42	works	work	VERB
cana-664	49	43	,	,	PUNCT
cana-664	49	44	are	be	AUX
cana-664	49	45	at	at	ADP
cana-664	49	46	the	the	DET
cana-664	49	47	heart	heart	NOUN
cana-664	49	48	of	of	ADP
cana-664	49	49	deep	deep	ADJ
cana-664	49	50	learning	learning	NOUN
cana-664	49	51	.	.	PUNCT
cana-664	50	1	these	these	DET
cana-664	50	2	networks	network	NOUN
cana-664	50	3	are	be	AUX
cana-664	50	4	made	make	VERB
cana-664	50	5	up	up	ADP
cana-664	50	6	of	of	ADP
cana-664	50	7	layers	layer	NOUN
cana-664	50	8	of	of	ADP
cana-664	50	9	neurons	neuron	NOUN
cana-664	50	10	that	that	PRON
cana-664	50	11	are	be	AUX
cana-664	50	12	all	all	ADV
cana-664	50	13	linked	link	VERB
cana-664	50	14	to	to	ADP
cana-664	50	15	each	each	DET
cana-664	50	16	other	other	ADJ
cana-664	50	17	.	.	PUNCT
cana-664	51	1	each	each	DET
cana-664	51	2	layer	layer	NOUN
cana-664	51	3	processes	process	NOUN
cana-664	51	4	and	and	CCONJ
cana-664	51	5	changes	change	VERB
cana-664	51	6	the	the	DET
cana-664	51	7	input	input	NOUN
cana-664	51	8	data	datum	NOUN
cana-664	51	9	to	to	PART
cana-664	51	10	make	make	VERB
cana-664	51	11	results	result	NOUN
cana-664	51	12	that	that	PRON
cana-664	51	13	make	make	VERB
cana-664	51	14	sense	sense	NOUN
cana-664	51	15	[	[	X
cana-664	51	16	13	13	NUM
cana-664	51	17	]	]	PUNCT
cana-664	51	18	.	.	PUNCT
cana-664	52	1	one	one	NUM
cana-664	52	2	of	of	ADP
cana-664	52	3	the	the	DET
cana-664	52	4	most	most	ADV
cana-664	52	5	common	common	ADJ
cana-664	52	6	deep	deep	ADJ
cana-664	52	7	learning	learning	NOUN
cana-664	52	8	models	model	NOUN
cana-664	52	9	used	use	VERB
cana-664	52	10	for	for	ADP
cana-664	52	11	image	image	NOUN
cana-664	52	12	analysis	analysis	NOUN
cana-664	52	13	tasks	task	NOUN
cana-664	52	14	,	,	PUNCT
cana-664	52	15	such	such	ADJ
cana-664	52	16	as	as	ADP
cana-664	52	17	picture	picture	NOUN
cana-664	52	18	recognition	recognition	NOUN
cana-664	52	19	,	,	PUNCT
cana-664	52	20	is	be	AUX
cana-664	52	21	the	the	DET
cana-664	52	22	convolutional	convolutional	ADJ
cana-664	52	23	neural	neural	ADJ
cana-664	52	24	network	network	NOUN
cana-664	52	25	(	(	PUNCT
cana-664	52	26	cnn	cnn	PROPN
cana-664	52	27	)	)	PUNCT
cana-664	52	28	.	.	PUNCT
cana-664	53	1	cnns	cnns	PROPN
cana-664	53	2	use	use	VERB
cana-664	53	3	a	a	DET
cana-664	53	4	number	number	NOUN
cana-664	53	5	of	of	ADP
cana-664	53	6	convolutional	convolutional	ADJ
cana-664	53	7	filters	filter	NOUN
cana-664	53	8	and	and	CCONJ
cana-664	53	9	pooling	pool	VERB
cana-664	53	10	processes	process	NOUN
cana-664	53	11	to	to	PART
cana-664	53	12	learn	learn	VERB
cana-664	53	13	naturally	naturally	ADV
cana-664	53	14	how	how	SCONJ
cana-664	53	15	to	to	PART
cana-664	53	16	describe	describe	VERB
cana-664	53	17	picture	picture	NOUN
cana-664	53	18	data	datum	NOUN
cana-664	53	19	in	in	ADP
cana-664	53	20	an	an	DET
cana-664	53	21	organized	organized	ADJ
cana-664	53	22	way	way	NOUN
cana-664	53	23	[	[	X
cana-664	53	24	14	14	NUM
cana-664	53	25	]	]	SYM
cana-664	53	26	.	.	PUNCT
cana-664	54	1	cnns	cnns	PROPN
cana-664	54	2	can	can	AUX
cana-664	54	3	pick	pick	VERB
cana-664	54	4	up	up	ADP
cana-664	54	5	both	both	CCONJ
cana-664	54	6	low	low	ADJ
cana-664	54	7	-	-	PUNCT
cana-664	54	8	level	level	NOUN
cana-664	54	9	features	feature	NOUN
cana-664	54	10	(	(	PUNCT
cana-664	54	11	like	like	ADP
cana-664	54	12	edges	edge	NOUN
cana-664	54	13	and	and	CCONJ
cana-664	54	14	textures	texture	NOUN
cana-664	54	15	)	)	PUNCT
cana-664	54	16	and	and	CCONJ
cana-664	54	17	high	high	ADJ
cana-664	54	18	-	-	PUNCT
cana-664	54	19	level	level	NOUN
cana-664	54	20	meaningful	meaningful	ADJ
cana-664	54	21	information	information	NOUN
cana-664	54	22	(	(	PUNCT
cana-664	54	23	like	like	INTJ
cana-664	54	24	object	object	NOUN
cana-664	54	25	shapes	shape	NOUN
cana-664	54	26	and	and	CCONJ
cana-664	54	27	structures	structure	NOUN
cana-664	54	28	)	)	PUNCT
cana-664	54	29	thanks	thank	NOUN
cana-664	54	30	to	to	ADP
cana-664	54	31	this	this	DET
cana-664	54	32	hierarchical	hierarchical	ADJ
cana-664	54	33	model	model	NOUN
cana-664	54	34	[	[	X
cana-664	54	35	12	12	NUM
cana-664	54	36	]	]	PUNCT
cana-664	54	37	.	.	PUNCT
cana-664	55	1	this	this	PRON
cana-664	55	2	makes	make	VERB
cana-664	55	3	them	they	PRON
cana-664	55	4	very	very	ADV
cana-664	55	5	good	good	ADJ
cana-664	55	6	at	at	ADP
cana-664	55	7	tasks	task	NOUN
cana-664	55	8	like	like	ADP
cana-664	55	9	recognizing	recognize	VERB
cana-664	55	10	objects	object	NOUN
cana-664	55	11	and	and	CCONJ
cana-664	55	12	figuring	figure	VERB
cana-664	55	13	out	out	ADP
cana-664	55	14	where	where	SCONJ
cana-664	55	15	they	they	PRON
cana-664	55	16	are	be	AUX
cana-664	55	17	.	.	PUNCT
cana-664	56	1	resnets	resnet	NOUN
cana-664	56	2	add	add	VERB
cana-664	56	3	skip	skip	ADJ
cana-664	56	4	links	link	NOUN
cana-664	56	5	that	that	PRON
cana-664	56	6	let	let	VERB
cana-664	56	7	information	information	NOUN
cana-664	56	8	go	go	VERB
cana-664	56	9	directly	directly	ADV
cana-664	56	10	from	from	ADP
cana-664	56	11	earlier	early	ADJ
cana-664	56	12	layers	layer	NOUN
cana-664	56	13	to	to	ADP
cana-664	56	14	later	later	ADJ
cana-664	56	15	layers	layer	NOUN
cana-664	56	16	.	.	PUNCT
cana-664	57	1	this	this	PRON
cana-664	57	2	fixes	fix	VERB
cana-664	57	3	the	the	DET
cana-664	57	4	problem	problem	NOUN
cana-664	57	5	of	of	ADP
cana-664	57	6	disappearing	disappear	VERB
cana-664	57	7	gradients	gradient	NOUN
cana-664	57	8	and	and	CCONJ
cana-664	57	9	makes	make	VERB
cana-664	57	10	it	it	PRON
cana-664	57	11	easier	easy	ADJ
cana-664	57	12	to	to	PART
cana-664	57	13	train	train	VERB
cana-664	57	14	deeper	deep	ADJ
cana-664	57	15	networks	network	NOUN
cana-664	57	16	.	.	PUNCT
cana-664	58	1	the	the	DET
cana-664	58	2	performance	performance	NOUN
cana-664	58	3	of	of	ADP
cana-664	58	4	cnns	cnn	NOUN
cana-664	58	5	for	for	ADP
cana-664	58	6	image	image	NOUN
cana-664	58	7	identification	identification	NOUN
cana-664	58	8	tasks	task	NOUN
cana-664	58	9	has	have	AUX
cana-664	58	10	been	be	AUX
cana-664	58	11	greatly	greatly	ADV
cana-664	58	12	improved	improve	VERB
cana-664	58	13	by	by	ADP
cana-664	58	14	this	this	DET
cana-664	58	15	design	design	NOUN
cana-664	58	16	innovation	innovation	NOUN
cana-664	58	17	.	.	PUNCT
cana-664	59	1	it	it	PRON
cana-664	59	2	is	be	AUX
cana-664	59	3	now	now	ADV
cana-664	59	4	possible	possible	ADJ
cana-664	59	5	to	to	PART
cana-664	59	6	find	find	VERB
cana-664	59	7	small	small	ADJ
cana-664	59	8	changes	change	NOUN
cana-664	59	9	and	and	CCONJ
cana-664	59	10	fakes	fake	NOUN
cana-664	59	11	even	even	ADV
cana-664	59	12	in	in	ADP
cana-664	59	13	complex	complex	ADJ
cana-664	59	14	medical	medical	ADJ
cana-664	59	15	images	image	NOUN
cana-664	59	16	[	[	X
cana-664	59	17	15	15	NUM
cana-664	59	18	]	]	PUNCT
cana-664	59	19	.	.	PUNCT
cana-664	60	1	capsule	capsule	PROPN
cana-664	60	2	networks	network	NOUN
cana-664	60	3	are	be	AUX
cana-664	60	4	a	a	DET
cana-664	60	5	new	new	ADJ
cana-664	60	6	way	way	NOUN
cana-664	60	7	to	to	PART
cana-664	60	8	look	look	VERB
cana-664	60	9	at	at	ADP
cana-664	60	10	images	image	NOUN
cana-664	60	11	because	because	SCONJ
cana-664	60	12	they	they	PRON
cana-664	60	13	describe	describe	VERB
cana-664	60	14	the	the	DET
cana-664	60	15	hierarchical	hierarchical	ADJ
cana-664	60	16	links	link	NOUN
cana-664	60	17	between	between	ADP
cana-664	60	18	picture	picture	NOUN
cana-664	60	19	parts	part	NOUN
cana-664	60	20	in	in	ADP
cana-664	60	21	a	a	DET
cana-664	60	22	very	very	ADV
cana-664	60	23	clear	clear	ADJ
cana-664	60	24	way	way	NOUN
cana-664	60	25	.	.	PUNCT
cana-664	61	1	traditional	traditional	ADJ
cana-664	61	2	cnns	cnn	NOUN
cana-664	61	3	use	use	VERB
cana-664	61	4	pooling	pool	VERB
cana-664	61	5	processes	process	NOUN
cana-664	61	6	to	to	PART
cana-664	61	7	combine	combine	VERB
cana-664	61	8	features	feature	NOUN
cana-664	61	9	,	,	PUNCT
cana-664	61	10	but	but	CCONJ
cana-664	61	11	capsule	capsule	NOUN
cana-664	61	12	networks	network	NOUN
cana-664	61	13	use	use	VERB
cana-664	61	14	dynamic	dynamic	ADJ
cana-664	61	15	route	route	NOUN
cana-664	61	16	methods	method	NOUN
cana-664	61	17	to	to	PART
cana-664	61	18	understand	understand	VERB
cana-664	61	19	the	the	DET
cana-664	61	20	spatial	spatial	ADJ
cana-664	61	21	relationships	relationship	NOUN
cana-664	61	22	and	and	CCONJ
cana-664	61	23	position	position	NOUN
cana-664	61	24	relationships	relationship	NOUN
cana-664	61	25	between	between	ADP
cana-664	61	26	picture	picture	NOUN
cana-664	61	27	elements	element	NOUN
cana-664	61	28	.	.	PUNCT
cana-664	62	1	capsule	capsule	NOUN
cana-664	62	2	networks	network	NOUN
cana-664	62	3	can	can	AUX
cana-664	62	4	better	well	ADV
cana-664	62	5	understand	understand	VERB
cana-664	62	6	spatial	spatial	ADJ
cana-664	62	7	arrangements	arrangement	NOUN
cana-664	62	8	and	and	CCONJ
cana-664	62	9	external	external	ADJ
cana-664	62	10	relationships	relationship	NOUN
cana-664	62	11	within	within	ADP
cana-664	62	12	images	image	NOUN
cana-664	62	13	thanks	thank	NOUN
cana-664	62	14	to	to	ADP
cana-664	62	15	this	this	DET
cana-664	62	16	hierarchical	hierarchical	ADJ
cana-664	62	17	representation	representation	NOUN
cana-664	62	18	[	[	X
cana-664	62	19	16	16	NUM
cana-664	62	20	]	]	PUNCT
cana-664	62	21	.	.	PUNCT
cana-664	63	1	this	this	PRON
cana-664	63	2	makes	make	VERB
cana-664	63	3	them	they	PRON
cana-664	63	4	perfect	perfect	ADJ
cana-664	63	5	for	for	ADP
cana-664	63	6	tasks	task	NOUN
cana-664	63	7	like	like	ADP
cana-664	63	8	object	object	NOUN
cana-664	63	9	recognition	recognition	NOUN
cana-664	63	10	and	and	CCONJ
cana-664	63	11	image	image	NOUN
cana-664	63	12	authentication	authentication	NOUN
cana-664	63	13	.	.	PUNCT
cana-664	64	1	another	another	DET
cana-664	64	2	new	new	ADJ
cana-664	64	3	way	way	NOUN
cana-664	64	4	to	to	PART
cana-664	64	5	do	do	VERB
cana-664	64	6	deep	deep	ADJ
cana-664	64	7	learning	learning	NOUN
cana-664	64	8	is	be	AUX
cana-664	64	9	with	with	ADP
cana-664	64	10	generative	generative	ADJ
cana-664	64	11	adversarial	adversarial	ADJ
cana-664	64	12	networks	network	NOUN
cana-664	64	13	(	(	PUNCT
cana-664	64	14	gans	gan	NOUN
cana-664	64	15	)	)	PUNCT
cana-664	64	16	.	.	PUNCT
cana-664	65	1	2	2	X
cana-664	65	2	.	.	X
cana-664	65	3	literature	literature	NOUN
cana-664	65	4	review	review	VERB
cana-664	65	5	cryptography	cryptography	NOUN
cana-664	65	6	tools	tool	NOUN
cana-664	65	7	,	,	PUNCT
cana-664	65	8	like	like	ADP
cana-664	65	9	hash	hash	NOUN
cana-664	65	10	functions	function	NOUN
cana-664	65	11	and	and	CCONJ
cana-664	65	12	digital	digital	ADJ
cana-664	65	13	signatures	signature	NOUN
cana-664	65	14	,	,	PUNCT
cana-664	65	15	are	be	AUX
cana-664	65	16	often	often	ADV
cana-664	65	17	used	use	VERB
cana-664	65	18	to	to	PART
cana-664	65	19	give	give	VERB
cana-664	65	20	images	image	NOUN
cana-664	65	21	unique	unique	ADJ
cana-664	65	22	names	name	NOUN
cana-664	65	23	or	or	CCONJ
cana-664	65	24	signatures	signature	NOUN
cana-664	65	25	based	base	VERB
cana-664	65	26	on	on	ADP
cana-664	65	27	what	what	PRON
cana-664	65	28	they	they	PRON
cana-664	65	29	contain	contain	VERB
cana-664	65	30	.	.	PUNCT
cana-664	66	1	then	then	ADV
cana-664	66	2	,	,	PUNCT
cana-664	66	3	these	these	DET
cana-664	66	4	signatures	signature	NOUN
cana-664	66	5	can	can	AUX
cana-664	66	6	be	be	AUX
cana-664	66	7	checked	check	VERB
cana-664	66	8	against	against	ADP
cana-664	66	9	reference	reference	NOUN
cana-664	66	10	signatures	signature	NOUN
cana-664	66	11	to	to	PART
cana-664	66	12	make	make	VERB
cana-664	66	13	sure	sure	ADJ
cana-664	66	14	the	the	DET
cana-664	66	15	images	image	NOUN
cana-664	66	16	are	be	AUX
cana-664	66	17	real	real	ADJ
cana-664	66	18	.	.	PUNCT
cana-664	67	1	watermarking	watermarke	VERB
cana-664	67	2	is	be	AUX
cana-664	67	3	the	the	DET
cana-664	67	4	process	process	NOUN
cana-664	67	5	of	of	ADP
cana-664	67	6	adding	add	VERB
cana-664	67	7	information	information	NOUN
cana-664	67	8	to	to	ADP
cana-664	67	9	images	image	NOUN
cana-664	67	10	that	that	PRON
cana-664	67	11	ca	can	AUX
cana-664	67	12	n't	not	PART
cana-664	67	13	be	be	AUX
cana-664	67	14	seen	see	VERB
cana-664	67	15	or	or	CCONJ
cana-664	67	16	felt	feel	VERB
cana-664	67	17	[	[	X
cana-664	67	18	17	17	NUM
cana-664	67	19	]	]	PUNCT
cana-664	67	20	.	.	PUNCT
cana-664	68	1	this	this	DET
cana-664	68	2	information	information	NOUN
cana-664	68	3	can	can	AUX
cana-664	68	4	be	be	AUX
cana-664	68	5	used	use	VERB
cana-664	68	6	as	as	ADP
cana-664	68	7	a	a	DET
cana-664	68	8	digital	digital	ADJ
cana-664	68	9	stamp	stamp	NOUN
cana-664	68	10	for	for	ADP
cana-664	68	11	authentication	authentication	NOUN
cana-664	68	12	.	.	PUNCT
cana-664	69	1	in	in	ADP
cana-664	69	2	the	the	DET
cana-664	69	3	same	same	ADJ
cana-664	69	4	way	way	NOUN
cana-664	69	5	,	,	PUNCT
cana-664	69	6	steganography	steganography	NOUN
cana-664	69	7	includes	include	VERB
cana-664	69	8	hiding	hide	VERB
cana-664	69	9	information	information	NOUN
cana-664	69	10	in	in	ADP
cana-664	69	11	images	image	NOUN
cana-664	69	12	in	in	ADP
cana-664	69	13	a	a	DET
cana-664	69	14	way	way	NOUN
cana-664	69	15	that	that	PRON
cana-664	69	16	humans	human	NOUN
cana-664	69	17	ca	can	AUX
cana-664	69	18	n't	not	PART
cana-664	69	19	see	see	VERB
cana-664	69	20	.	.	PUNCT
cana-664	70	1	this	this	PRON
cana-664	70	2	lets	let	VERB
cana-664	70	3	people	people	NOUN
cana-664	70	4	communicate	communicate	VERB
cana-664	70	5	or	or	CCONJ
cana-664	70	6	authenticate	authenticate	VERB
cana-664	70	7	themselves	themselves	PRON
cana-664	70	8	without	without	ADP
cana-664	70	9	being	be	AUX
cana-664	70	10	seen	see	VERB
cana-664	70	11	.	.	PUNCT
cana-664	71	1	communications	communication	NOUN
cana-664	71	2	on	on	ADP
cana-664	71	3	applied	apply	VERB
cana-664	71	4	nonlinear	nonlinear	ADJ
cana-664	71	5	analysis	analysis	NOUN
cana-664	71	6	issn	issn	NOUN
cana-664	71	7	:	:	PUNCT
cana-664	71	8	1074	1074	NUM
cana-664	71	9	-	-	PUNCT
cana-664	71	10	133x	133x	NUM
cana-664	71	11	vol	vol	NOUN
cana-664	71	12	31	31	NUM
cana-664	71	13	no	no	NOUN
cana-664	71	14	.	.	PUNCT
cana-664	72	1	2s	2s	NUM
cana-664	72	2	(	(	PUNCT
cana-664	72	3	2024	2024	NUM
cana-664	72	4	)	)	PUNCT
cana-664	72	5	518	518	NUM
cana-664	72	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-664	72	7	traditional	traditional	ADJ
cana-664	72	8	ways	way	NOUN
cana-664	72	9	of	of	ADP
cana-664	72	10	verifying	verifying	NOUN
cana-664	72	11	images	image	NOUN
cana-664	72	12	have	have	AUX
cana-664	72	13	been	be	AUX
cana-664	72	14	used	use	VERB
cana-664	72	15	a	a	DET
cana-664	72	16	lot	lot	NOUN
cana-664	72	17	,	,	PUNCT
cana-664	72	18	but	but	CCONJ
cana-664	72	19	they	they	PRON
cana-664	72	20	have	have	VERB
cana-664	72	21	some	some	DET
cana-664	72	22	problems	problem	NOUN
cana-664	72	23	and	and	CCONJ
cana-664	72	24	are	be	AUX
cana-664	72	25	n't	not	PART
cana-664	72	26	always	always	ADV
cana-664	72	27	reliable	reliable	ADJ
cana-664	72	28	.	.	PUNCT
cana-664	73	1	attacks	attack	NOUN
cana-664	73	2	and	and	CCONJ
cana-664	73	3	changes	change	NOUN
cana-664	73	4	are	be	AUX
cana-664	73	5	easy	easy	ADJ
cana-664	73	6	to	to	PART
cana-664	73	7	make	make	VERB
cana-664	73	8	,	,	PUNCT
cana-664	73	9	especially	especially	ADV
cana-664	73	10	with	with	ADP
cana-664	73	11	digital	digital	ADJ
cana-664	73	12	watermarking	watermarking	NOUN
cana-664	73	13	and	and	CCONJ
cana-664	73	14	steganography	steganography	NOUN
cana-664	73	15	[	[	X
cana-664	73	16	24	24	NUM
cana-664	73	17	]	]	PUNCT
cana-664	73	18	.	.	PUNCT
cana-664	74	1	this	this	PRON
cana-664	74	2	makes	make	VERB
cana-664	74	3	them	they	PRON
cana-664	74	4	good	good	ADJ
cana-664	74	5	for	for	ADP
cana-664	74	6	jobs	job	NOUN
cana-664	74	7	like	like	ADP
cana-664	74	8	video	video	NOUN
cana-664	74	9	analysis	analysis	NOUN
cana-664	74	10	and	and	CCONJ
cana-664	74	11	adding	add	VERB
cana-664	74	12	captions	caption	NOUN
cana-664	74	13	to	to	ADP
cana-664	74	14	images	image	NOUN
cana-664	74	15	[	[	X
cana-664	74	16	18	18	NUM
cana-664	74	17	]	]	PUNCT
cana-664	74	18	.	.	PUNCT
cana-664	75	1	in	in	ADP
cana-664	75	2	gans	gan	NOUN
cana-664	75	3	,	,	PUNCT
cana-664	75	4	two	two	NUM
cana-664	75	5	neural	neural	ADJ
cana-664	75	6	networks	network	NOUN
cana-664	75	7	the	the	DET
cana-664	75	8	generator	generator	NOUN
cana-664	75	9	and	and	CCONJ
cana-664	75	10	the	the	DET
cana-664	75	11	discriminator	discriminator	NOUN
cana-664	75	12	are	be	AUX
cana-664	75	13	trained	train	VERB
cana-664	75	14	at	at	ADP
cana-664	75	15	the	the	DET
cana-664	75	16	same	same	ADJ
cana-664	75	17	time	time	NOUN
cana-664	75	18	and	and	CCONJ
cana-664	75	19	compete	compete	VERB
cana-664	75	20	with	with	ADP
cana-664	75	21	each	each	DET
cana-664	75	22	other	other	ADJ
cana-664	75	23	.	.	PUNCT
cana-664	76	1	this	this	PRON
cana-664	76	2	is	be	AUX
cana-664	76	3	a	a	DET
cana-664	76	4	new	new	ADJ
cana-664	76	5	way	way	NOUN
cana-664	76	6	to	to	PART
cana-664	76	7	do	do	VERB
cana-664	76	8	generative	generative	ADJ
cana-664	76	9	modeling	modeling	NOUN
cana-664	76	10	.	.	PUNCT
cana-664	77	1	the	the	DET
cana-664	77	2	discriminator	discriminator	NOUN
cana-664	77	3	network	network	NOUN
cana-664	77	4	learns	learn	VERB
cana-664	77	5	to	to	PART
cana-664	77	6	tell	tell	VERB
cana-664	77	7	the	the	DET
cana-664	77	8	difference	difference	NOUN
cana-664	77	9	between	between	ADP
cana-664	77	10	real	real	ADJ
cana-664	77	11	and	and	CCONJ
cana-664	77	12	fake	fake	ADJ
cana-664	77	13	images	image	NOUN
cana-664	77	14	,	,	PUNCT
cana-664	77	15	while	while	SCONJ
cana-664	77	16	the	the	DET
cana-664	77	17	generation	generation	NOUN
cana-664	77	18	network	network	NOUN
cana-664	77	19	learns	learn	VERB
cana-664	77	20	to	to	PART
cana-664	77	21	make	make	VERB
cana-664	77	22	images	image	NOUN
cana-664	77	23	that	that	PRON
cana-664	77	24	look	look	VERB
cana-664	77	25	real	real	ADJ
cana-664	77	26	.	.	PUNCT
cana-664	78	1	gans	gan	NOUN
cana-664	78	2	can	can	AUX
cana-664	78	3	learn	learn	VERB
cana-664	78	4	to	to	PART
cana-664	78	5	make	make	VERB
cana-664	78	6	images	image	NOUN
cana-664	78	7	that	that	PRON
cana-664	78	8	look	look	VERB
cana-664	78	9	very	very	ADV
cana-664	78	10	real	real	ADJ
cana-664	78	11	and	and	CCONJ
cana-664	78	12	believable	believable	ADJ
cana-664	78	13	through	through	ADP
cana-664	78	14	antagonistic	antagonistic	ADJ
cana-664	78	15	training	training	NOUN
cana-664	78	16	[	[	X
cana-664	78	17	19	19	NUM
cana-664	78	18	]	]	PUNCT
cana-664	78	19	.	.	PUNCT
cana-664	79	1	this	this	PRON
cana-664	79	2	makes	make	VERB
cana-664	79	3	them	they	PRON
cana-664	79	4	useful	useful	ADJ
cana-664	79	5	for	for	ADP
cana-664	79	6	tasks	task	NOUN
cana-664	79	7	like	like	ADP
cana-664	79	8	creating	create	VERB
cana-664	79	9	images	image	NOUN
cana-664	79	10	,	,	PUNCT
cana-664	79	11	editing	edit	VERB
cana-664	79	12	images	image	NOUN
cana-664	79	13	,	,	PUNCT
cana-664	79	14	and	and	CCONJ
cana-664	79	15	verifying	verify	VERB
cana-664	79	16	identities	identity	NOUN
cana-664	79	17	.	.	PUNCT
cana-664	80	1	resnets	resnet	NOUN
cana-664	80	2	have	have	AUX
cana-664	80	3	also	also	ADV
cana-664	80	4	been	be	AUX
cana-664	80	5	looked	look	VERB
cana-664	80	6	at	at	ADP
cana-664	80	7	in	in	ADP
cana-664	80	8	the	the	DET
cana-664	80	9	context	context	NOUN
cana-664	80	10	of	of	ADP
cana-664	80	11	medical	medical	ADJ
cana-664	80	12	picture	picture	NOUN
cana-664	80	13	identification	identification	NOUN
cana-664	80	14	,	,	PUNCT
cana-664	80	15	especially	especially	ADV
cana-664	80	16	as	as	ADP
cana-664	80	17	a	a	DET
cana-664	80	18	way	way	NOUN
cana-664	80	19	to	to	PART
cana-664	80	20	train	train	VERB
cana-664	80	21	very	very	ADV
cana-664	80	22	deep	deep	ADJ
cana-664	80	23	neural	neural	ADJ
cana-664	80	24	networks	network	NOUN
cana-664	80	25	that	that	PRON
cana-664	80	26	can	can	AUX
cana-664	80	27	handle	handle	VERB
cana-664	80	28	difficult	difficult	ADJ
cana-664	80	29	tasks	task	NOUN
cana-664	80	30	.	.	PUNCT
cana-664	81	1	it	it	PRON
cana-664	82	1	[	[	X
cana-664	82	2	20	20	NUM
cana-664	82	3	]	]	PUNCT
cana-664	82	4	created	create	VERB
cana-664	82	5	a	a	DET
cana-664	82	6	deep	deep	ADJ
cana-664	82	7	residual	residual	ADJ
cana-664	82	8	network	network	NOUN
cana-664	82	9	that	that	PRON
cana-664	82	10	can	can	AUX
cana-664	82	11	find	find	VERB
cana-664	82	12	and	and	CCONJ
cana-664	82	13	pinpoint	pinpoint	VERB
cana-664	82	14	splicing	splicing	NOUN
cana-664	82	15	frauds	fraud	NOUN
cana-664	82	16	in	in	ADP
cana-664	82	17	images	image	NOUN
cana-664	82	18	of	of	ADP
cana-664	82	19	histopathology	histopathology	NOUN
cana-664	82	20	.	.	PUNCT
cana-664	83	1	the	the	DET
cana-664	83	2	researchers	researcher	NOUN
cana-664	83	3	used	use	VERB
cana-664	83	4	the	the	DET
cana-664	83	5	depth	depth	NOUN
cana-664	83	6	and	and	CCONJ
cana-664	83	7	skip	skip	ADJ
cana-664	83	8	links	link	NOUN
cana-664	83	9	of	of	ADP
cana-664	83	10	resnets	resnet	NOUN
cana-664	83	11	to	to	PART
cana-664	83	12	make	make	VERB
cana-664	83	13	a	a	DET
cana-664	83	14	model	model	NOUN
cana-664	83	15	that	that	PRON
cana-664	83	16	was	be	AUX
cana-664	83	17	better	well	ADJ
cana-664	83	18	at	at	ADP
cana-664	83	19	finding	find	VERB
cana-664	83	20	split	split	ADJ
cana-664	83	21	regions	region	NOUN
cana-664	83	22	in	in	ADP
cana-664	83	23	histopathology	histopathology	NOUN
cana-664	83	24	images	image	NOUN
cana-664	83	25	than	than	ADP
cana-664	83	26	other	other	ADJ
cana-664	83	27	methods	method	NOUN
cana-664	83	28	.	.	PUNCT
cana-664	84	1	capsule	capsule	NOUN
cana-664	84	2	networks	network	NOUN
cana-664	84	3	provide	provide	VERB
cana-664	84	4	a	a	DET
cana-664	84	5	unique	unique	ADJ
cana-664	84	6	view	view	NOUN
cana-664	84	7	on	on	ADP
cana-664	84	8	image	image	NOUN
cana-664	84	9	authentication	authentication	NOUN
cana-664	84	10	by	by	ADP
cana-664	84	11	showing	show	VERB
cana-664	84	12	how	how	SCONJ
cana-664	84	13	image	image	NOUN
cana-664	84	14	parts	part	NOUN
cana-664	84	15	are	be	AUX
cana-664	84	16	connected	connect	VERB
cana-664	84	17	in	in	ADP
cana-664	84	18	a	a	DET
cana-664	84	19	structured	structured	ADJ
cana-664	84	20	way	way	NOUN
cana-664	84	21	.	.	PUNCT
cana-664	85	1	the	the	DET
cana-664	85	2	[	[	X
cana-664	85	3	21	21	NUM
cana-664	85	4	]	]	PUNCT
cana-664	85	5	suggested	suggest	VERB
cana-664	85	6	using	use	VERB
cana-664	85	7	a	a	DET
cana-664	85	8	capsule	capsule	ADJ
cana-664	85	9	network	network	NOUN
cana-664	85	10	to	to	PART
cana-664	85	11	find	find	VERB
cana-664	85	12	fake	fake	ADJ
cana-664	85	13	chest	chest	NOUN
cana-664	85	14	x	x	NOUN
cana-664	85	15	-	-	NOUN
cana-664	85	16	rays	ray	NOUN
cana-664	85	17	that	that	PRON
cana-664	85	18	have	have	AUX
cana-664	85	19	been	be	AUX
cana-664	85	20	fixed	fix	VERB
cana-664	85	21	up	up	ADP
cana-664	85	22	.	.	PUNCT
cana-664	86	1	their	their	PRON
cana-664	86	2	model	model	NOUN
cana-664	86	3	clearly	clearly	ADV
cana-664	86	4	described	describe	VERB
cana-664	86	5	the	the	DET
cana-664	86	6	spatial	spatial	ADJ
cana-664	86	7	relationships	relationship	NOUN
cana-664	86	8	between	between	ADP
cana-664	86	9	picture	picture	NOUN
cana-664	86	10	elements	element	NOUN
cana-664	86	11	.	.	PUNCT
cana-664	87	1	this	this	PRON
cana-664	87	2	made	make	VERB
cana-664	87	3	it	it	PRON
cana-664	87	4	possible	possible	ADJ
cana-664	87	5	to	to	PART
cana-664	87	6	find	find	VERB
cana-664	87	7	altered	altered	ADJ
cana-664	87	8	areas	area	NOUN
cana-664	87	9	in	in	ADP
cana-664	87	10	x	x	NOUN
cana-664	87	11	-	-	NOUN
cana-664	87	12	ray	ray	NOUN
cana-664	87	13	images	image	NOUN
cana-664	87	14	more	more	ADV
cana-664	87	15	accurately	accurately	ADV
cana-664	87	16	than	than	ADP
cana-664	87	17	with	with	ADP
cana-664	87	18	older	old	ADJ
cana-664	87	19	methods	method	NOUN
cana-664	87	20	.	.	PUNCT
cana-664	88	1	people	people	NOUN
cana-664	88	2	have	have	AUX
cana-664	88	3	looked	look	VERB
cana-664	88	4	into	into	ADP
cana-664	88	5	lstm	lstm	ADJ
cana-664	88	6	networks	network	NOUN
cana-664	88	7	for	for	ADP
cana-664	88	8	more	more	ADJ
cana-664	88	9	than	than	ADP
cana-664	88	10	just	just	ADV
cana-664	88	11	basic	basic	ADJ
cana-664	88	12	picture	picture	NOUN
cana-664	88	13	analysis	analysis	NOUN
cana-664	88	14	.	.	PUNCT
cana-664	89	1	they	they	PRON
cana-664	89	2	may	may	AUX
cana-664	89	3	also	also	ADV
cana-664	89	4	be	be	AUX
cana-664	89	5	able	able	ADJ
cana-664	89	6	to	to	PART
cana-664	89	7	find	find	VERB
cana-664	89	8	sequential	sequential	ADJ
cana-664	89	9	patterns	pattern	NOUN
cana-664	89	10	and	and	CCONJ
cana-664	89	11	spatial	spatial	ADJ
cana-664	89	12	connections	connection	NOUN
cana-664	89	13	in	in	ADP
cana-664	89	14	medical	medical	ADJ
cana-664	89	15	imaging	imaging	NOUN
cana-664	89	16	data	datum	NOUN
cana-664	89	17	.	.	PUNCT
cana-664	90	1	for	for	ADP
cana-664	90	2	]	]	PUNCT
cana-664	90	3	instance	instance	NOUN
cana-664	90	4	,	,	PUNCT
cana-664	90	5	[	[	X
cana-664	90	6	22	22	NUM
cana-664	90	7	]	]	PUNCT
cana-664	90	8	suggested	suggest	VERB
cana-664	90	9	using	use	VERB
cana-664	90	10	lstm	lstm	ADJ
cana-664	90	11	networks	network	NOUN
cana-664	90	12	in	in	ADP
cana-664	90	13	a	a	DET
cana-664	90	14	deep	deep	ADJ
cana-664	90	15	learning	learning	NOUN
cana-664	90	16	framework	framework	NOUN
cana-664	90	17	to	to	PART
cana-664	90	18	find	find	VERB
cana-664	90	19	patterns	pattern	NOUN
cana-664	90	20	in	in	ADP
cana-664	90	21	changing	change	VERB
cana-664	90	22	medical	medical	ADJ
cana-664	90	23	images	image	NOUN
cana-664	90	24	like	like	ADP
cana-664	90	25	movies	movie	NOUN
cana-664	90	26	that	that	PRON
cana-664	90	27	do	do	AUX
cana-664	90	28	n't	not	PART
cana-664	90	29	match	match	VERB
cana-664	90	30	up	up	ADP
cana-664	90	31	with	with	ADP
cana-664	90	32	time	time	NOUN
cana-664	90	33	.	.	PUNCT
cana-664	91	1	their	their	PRON
cana-664	91	2	method	method	NOUN
cana-664	91	3	worked	work	VERB
cana-664	91	4	well	well	ADV
cana-664	91	5	at	at	ADP
cana-664	91	6	finding	find	VERB
cana-664	91	7	temporal	temporal	ADJ
cana-664	91	8	hoaxes	hoax	NOUN
cana-664	91	9	and	and	CCONJ
cana-664	91	10	other	other	ADJ
cana-664	91	11	problems	problem	NOUN
cana-664	91	12	in	in	ADP
cana-664	91	13	changing	change	VERB
cana-664	91	14	medical	medical	ADJ
cana-664	91	15	imaging	imaging	NOUN
cana-664	91	16	data	datum	NOUN
cana-664	91	17	,	,	PUNCT
cana-664	91	18	showing	show	VERB
cana-664	91	19	that	that	SCONJ
cana-664	91	20	lstm	lstm	PROPN
cana-664	91	21	networks	network	NOUN
cana-664	91	22	could	could	AUX
cana-664	91	23	be	be	AUX
cana-664	91	24	useful	useful	ADJ
cana-664	91	25	for	for	ADP
cana-664	91	26	tasks	task	NOUN
cana-664	91	27	requiring	require	VERB
cana-664	91	28	picture	picture	NOUN
cana-664	91	29	authentication	authentication	NOUN
cana-664	91	30	involving	involve	VERB
cana-664	91	31	temporal	temporal	ADJ
cana-664	91	32	data	datum	NOUN
cana-664	91	33	.	.	PUNCT
cana-664	92	1	gans	gan	NOUN
cana-664	92	2	have	have	AUX
cana-664	92	3	also	also	ADV
cana-664	92	4	been	be	AUX
cana-664	92	5	used	use	VERB
cana-664	92	6	to	to	PART
cana-664	92	7	create	create	VERB
cana-664	92	8	realistic	realistic	ADJ
cana-664	92	9	adversarial	adversarial	ADJ
cana-664	92	10	examples	example	NOUN
cana-664	92	11	,	,	PUNCT
cana-664	92	12	which	which	PRON
cana-664	92	13	add	add	VERB
cana-664	92	14	to	to	ADP
cana-664	92	15	training	training	NOUN
cana-664	92	16	datasets	dataset	NOUN
cana-664	92	17	and	and	CCONJ
cana-664	92	18	make	make	VERB
cana-664	92	19	deep	deep	ADJ
cana-664	92	20	learning	learning	NOUN
cana-664	92	21	models	model	NOUN
cana-664	92	22	more	more	ADV
cana-664	92	23	resistant	resistant	ADJ
cana-664	92	24	to	to	ADP
cana-664	92	25	frauds	fraud	NOUN
cana-664	92	26	that	that	PRON
cana-664	92	27	have	have	AUX
cana-664	92	28	n't	not	PART
cana-664	92	29	been	be	AUX
cana-664	92	30	seen	see	VERB
cana-664	92	31	before	before	ADV
cana-664	92	32	.	.	PUNCT
cana-664	93	1	for	for	ADP
cana-664	93	2	example	example	NOUN
cana-664	93	3	,	,	PUNCT
cana-664	93	4	[	[	X
cana-664	93	5	23	23	NUM
cana-664	93	6	]	]	PUNCT
cana-664	93	7	created	create	VERB
cana-664	93	8	a	a	DET
cana-664	93	9	gan	gan	NOUN
cana-664	93	10	-	-	PUNCT
cana-664	93	11	based	base	VERB
cana-664	93	12	method	method	NOUN
cana-664	93	13	for	for	ADP
cana-664	93	14	creating	create	VERB
cana-664	93	15	fake	fake	ADJ
cana-664	93	16	medical	medical	ADJ
cana-664	93	17	images	image	NOUN
cana-664	93	18	with	with	ADP
cana-664	93	19	known	know	VERB
cana-664	93	20	ground	ground	NOUN
cana-664	93	21	truth	truth	NOUN
cana-664	93	22	annotations	annotation	NOUN
cana-664	93	23	.	.	PUNCT
cana-664	94	1	these	these	DET
cana-664	94	2	images	image	NOUN
cana-664	94	3	were	be	AUX
cana-664	94	4	then	then	ADV
cana-664	94	5	used	use	VERB
cana-664	94	6	to	to	PART
cana-664	94	7	teach	teach	VERB
cana-664	94	8	a	a	DET
cana-664	94	9	cnn	cnn	PROPN
cana-664	94	10	model	model	NOUN
cana-664	94	11	how	how	SCONJ
cana-664	94	12	to	to	PART
cana-664	94	13	spot	spot	VERB
cana-664	94	14	splicing	splice	VERB
cana-664	94	15	hoaxes	hoax	NOUN
cana-664	94	16	in	in	ADP
cana-664	94	17	real	real	ADJ
cana-664	94	18	medical	medical	ADJ
cana-664	94	19	images	image	NOUN
cana-664	94	20	.	.	PUNCT
cana-664	95	1	their	their	PRON
cana-664	95	2	method	method	NOUN
cana-664	95	3	showed	show	VERB
cana-664	95	4	better	well	ADJ
cana-664	95	5	generalization	generalization	NOUN
cana-664	95	6	performance	performance	NOUN
cana-664	95	7	than	than	ADP
cana-664	95	8	previous	previous	ADJ
cana-664	95	9	ones	one	NOUN
cana-664	95	10	,	,	PUNCT
cana-664	95	11	showing	show	VERB
cana-664	95	12	that	that	SCONJ
cana-664	95	13	gans	gan	NOUN
cana-664	95	14	can	can	AUX
cana-664	95	15	be	be	AUX
cana-664	95	16	used	use	VERB
cana-664	95	17	to	to	PART
cana-664	95	18	create	create	VERB
cana-664	95	19	realistic	realistic	ADJ
cana-664	95	20	and	and	CCONJ
cana-664	95	21	varied	varied	ADJ
cana-664	95	22	training	training	NOUN
cana-664	95	23	data	datum	NOUN
cana-664	95	24	for	for	ADP
cana-664	95	25	picture	picture	NOUN
cana-664	95	26	authentication	authentication	NOUN
cana-664	95	27	tasks	task	NOUN
cana-664	95	28	.	.	PUNCT
cana-664	96	1	table	table	NOUN
cana-664	96	2	1	1	NUM
cana-664	96	3	:	:	PUNCT
cana-664	96	4	summary	summary	NOUN
cana-664	96	5	of	of	ADP
cana-664	96	6	related	related	ADJ
cana-664	96	7	work	work	NOUN
cana-664	96	8	deep	deep	ADJ
cana-664	96	9	learning	learn	VERB
cana-664	96	10	architecture	architecture	NOUN
cana-664	96	11	types	type	NOUN
cana-664	96	12	of	of	ADP
cana-664	96	13	forgeries	forgery	NOUN
cana-664	96	14	detected	detect	VERB
cana-664	96	15	dataset	dataset	NOUN
cana-664	96	16	used	use	VERB
cana-664	96	17	main	main	ADJ
cana-664	96	18	contributions	contribution	NOUN
cana-664	96	19	convolutional	convolutional	ADJ
cana-664	96	20	neural	neural	ADJ
cana-664	96	21	network	network	NOUN
cana-664	96	22	(	(	PUNCT
cana-664	96	23	cnn	cnn	PROPN
cana-664	96	24	)	)	PUNCT
cana-664	96	25	copy	copy	NOUN
cana-664	96	26	-	-	PUNCT
cana-664	96	27	move	move	NOUN
cana-664	96	28	forgeries	forgery	NOUN
cana-664	96	29	,	,	PUNCT
cana-664	96	30	mammograms	mammogram	NOUN
cana-664	96	31	mammogram	mammogram	PROPN
cana-664	96	32	dataset	dataset	PROPN
cana-664	96	33	proposed	propose	VERB
cana-664	96	34	a	a	DET
cana-664	96	35	cnn	cnn	PROPN
cana-664	96	36	-	-	PUNCT
cana-664	96	37	based	base	VERB
cana-664	96	38	method	method	NOUN
cana-664	96	39	for	for	ADP
cana-664	96	40	detecting	detect	VERB
cana-664	96	41	copy	copy	NOUN
cana-664	96	42	-	-	PUNCT
cana-664	96	43	move	move	NOUN
cana-664	96	44	forgeries	forgery	NOUN
cana-664	96	45	in	in	ADP
cana-664	96	46	mammograms	mammogram	NOUN
cana-664	96	47	residual	residual	ADJ
cana-664	96	48	network	network	NOUN
cana-664	96	49	(	(	PUNCT
cana-664	96	50	resnet	resnet	NOUN
cana-664	96	51	)	)	PUNCT
cana-664	96	52	splicing	splicing	NOUN
cana-664	96	53	forgeries	forgery	NOUN
cana-664	96	54	,	,	PUNCT
cana-664	96	55	histopathology	histopathology	NOUN
cana-664	96	56	images	image	NOUN
cana-664	96	57	histopathology	histopathology	NOUN
cana-664	96	58	image	image	NOUN
cana-664	96	59	dataset	dataset	VERB
cana-664	96	60	developed	develop	VERB
cana-664	96	61	a	a	DET
cana-664	96	62	resnet	resnet	NOUN
cana-664	96	63	-	-	PUNCT
cana-664	96	64	based	base	VERB
cana-664	96	65	approach	approach	NOUN
cana-664	96	66	for	for	ADP
cana-664	96	67	detecting	detect	VERB
cana-664	96	68	splicing	splicing	NOUN
cana-664	96	69	forgeries	forgery	NOUN
cana-664	96	70	in	in	ADP
cana-664	96	71	histopathology	histopathology	NOUN
cana-664	96	72	images	image	NOUN
cana-664	96	73	capsule	capsule	NOUN
cana-664	96	74	network	network	NOUN
cana-664	96	75	retouching	retouch	VERB
cana-664	96	76	forgeries	forgery	NOUN
cana-664	96	77	,	,	PUNCT
cana-664	96	78	chest	chest	NOUN
cana-664	96	79	x	x	NOUN
cana-664	96	80	-	-	NOUN
cana-664	96	81	ray	ray	NOUN
cana-664	96	82	images	image	NOUN
cana-664	96	83	chest	chest	NOUN
cana-664	96	84	x	x	NOUN
cana-664	96	85	-	-	NOUN
cana-664	96	86	ray	ray	NOUN
cana-664	96	87	image	image	NOUN
cana-664	96	88	dataset	dataset	NOUN
cana-664	96	89	introduced	introduce	VERB
cana-664	96	90	a	a	DET
cana-664	96	91	capsule	capsule	NOUN
cana-664	96	92	network	network	NOUN
cana-664	96	93	-	-	PUNCT
cana-664	96	94	based	base	VERB
cana-664	96	95	method	method	NOUN
cana-664	96	96	for	for	ADP
cana-664	96	97	detecting	detect	VERB
cana-664	96	98	retouching	retouch	VERB
cana-664	96	99	forgeries	forgery	NOUN
cana-664	96	100	in	in	ADP
cana-664	96	101	chest	chest	NOUN
cana-664	96	102	x	x	NOUN
cana-664	96	103	-	-	NOUN
cana-664	96	104	ray	ray	NOUN
cana-664	96	105	images	image	NOUN
cana-664	96	106	communications	communication	NOUN
cana-664	96	107	on	on	ADP
cana-664	96	108	applied	apply	VERB
cana-664	96	109	nonlinear	nonlinear	ADJ
cana-664	96	110	analysis	analysis	NOUN
cana-664	96	111	issn	issn	NOUN
cana-664	96	112	:	:	PUNCT
cana-664	96	113	1074	1074	NUM
cana-664	96	114	-	-	PUNCT
cana-664	96	115	133x	133x	NUM
cana-664	96	116	vol	vol	NOUN
cana-664	96	117	31	31	NUM
cana-664	96	118	no	no	NOUN
cana-664	96	119	.	.	PUNCT
cana-664	97	1	2s	2s	NUM
cana-664	97	2	(	(	PUNCT
cana-664	97	3	2024	2024	NUM
cana-664	97	4	)	)	PUNCT
cana-664	97	5	519	519	NUM
cana-664	97	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-664	97	7	long	long	ADJ
cana-664	97	8	short	short	ADJ
cana-664	97	9	-	-	PUNCT
cana-664	97	10	term	term	NOUN
cana-664	97	11	memory	memory	NOUN
cana-664	97	12	(	(	PUNCT
cana-664	97	13	lstm	lstm	ADJ
cana-664	97	14	)	)	PUNCT
cana-664	97	15	temporal	temporal	ADJ
cana-664	97	16	inconsistencies	inconsistency	NOUN
cana-664	97	17	,	,	PUNCT
cana-664	97	18	dynamic	dynamic	ADJ
cana-664	97	19	medical	medical	ADJ
cana-664	97	20	images	image	NOUN
cana-664	97	21	video	video	NOUN
cana-664	97	22	dataset	dataset	NOUN
cana-664	97	23	proposed	propose	VERB
cana-664	97	24	an	an	DET
cana-664	97	25	lstm	lstm	NOUN
cana-664	97	26	-	-	PUNCT
cana-664	97	27	based	base	VERB
cana-664	97	28	framework	framework	NOUN
cana-664	97	29	for	for	ADP
cana-664	97	30	detecting	detect	VERB
cana-664	97	31	temporal	temporal	ADJ
cana-664	97	32	inconsistencies	inconsistency	NOUN
cana-664	97	33	in	in	ADP
cana-664	97	34	dynamic	dynamic	ADJ
cana-664	97	35	medical	medical	ADJ
cana-664	97	36	images	image	NOUN
cana-664	97	37	generative	generative	VERB
cana-664	97	38	adversarial	adversarial	ADJ
cana-664	97	39	network	network	NOUN
cana-664	97	40	(	(	PUNCT
cana-664	97	41	gan	gan	PROPN
cana-664	97	42	)	)	PUNCT
cana-664	97	43	splicing	splicing	NOUN
cana-664	97	44	forgeries	forgery	NOUN
cana-664	97	45	,	,	PUNCT
cana-664	97	46	medical	medical	ADJ
cana-664	97	47	images	image	NOUN
cana-664	97	48	synthetic	synthetic	ADJ
cana-664	97	49	dataset	dataset	NOUN
cana-664	97	50	developed	develop	VERB
cana-664	97	51	a	a	DET
cana-664	97	52	gan	gan	NOUN
cana-664	97	53	-	-	PUNCT
cana-664	97	54	based	base	VERB
cana-664	97	55	approach	approach	NOUN
cana-664	97	56	for	for	ADP
cana-664	97	57	generating	generate	VERB
cana-664	97	58	synthetic	synthetic	ADJ
cana-664	97	59	medical	medical	ADJ
cana-664	97	60	images	image	NOUN
cana-664	97	61	with	with	ADP
cana-664	97	62	known	know	VERB
cana-664	97	63	ground	ground	NOUN
cana-664	97	64	truth	truth	NOUN
cana-664	97	65	annotations	annotation	NOUN
cana-664	97	66	for	for	ADP
cana-664	97	67	training	train	VERB
cana-664	97	68	cnn	cnn	PROPN
cana-664	97	69	models	model	NOUN
cana-664	97	70	generative	generative	VERB
cana-664	97	71	adversarial	adversarial	ADJ
cana-664	97	72	network	network	NOUN
cana-664	97	73	(	(	PUNCT
cana-664	97	74	gan	gan	NOUN
cana-664	97	75	)	)	PUNCT
cana-664	97	76	retouching	retouch	VERB
cana-664	97	77	forgeries	forgery	NOUN
cana-664	97	78	,	,	PUNCT
cana-664	97	79	mri	mri	NOUN
cana-664	97	80	images	image	NOUN
cana-664	97	81	mri	mri	NOUN
cana-664	97	82	image	image	NOUN
cana-664	97	83	dataset	dataset	NOUN
cana-664	97	84	developed	develop	VERB
cana-664	97	85	a	a	DET
cana-664	97	86	gan	gan	NOUN
cana-664	97	87	-	-	PUNCT
cana-664	97	88	based	base	VERB
cana-664	97	89	approach	approach	NOUN
cana-664	97	90	for	for	ADP
cana-664	97	91	generating	generate	VERB
cana-664	97	92	synthetic	synthetic	ADJ
cana-664	97	93	mri	mri	NOUN
cana-664	97	94	images	image	NOUN
cana-664	97	95	with	with	ADP
cana-664	97	96	known	known	ADJ
cana-664	97	97	ground	ground	NOUN
cana-664	97	98	truth	truth	NOUN
cana-664	97	99	annotations	annotation	NOUN
cana-664	97	100	for	for	ADP
cana-664	97	101	training	train	VERB
cana-664	97	102	cnn	cnn	PROPN
cana-664	97	103	models	model	NOUN
cana-664	97	104	capsule	capsule	PROPN
cana-664	97	105	network	network	NOUN
cana-664	97	106	splicing	splicing	NOUN
cana-664	97	107	forgeries	forgery	NOUN
cana-664	97	108	,	,	PUNCT
cana-664	97	109	ultrasound	ultrasound	NOUN
cana-664	97	110	images	image	NOUN
cana-664	97	111	ultrasound	ultrasound	NOUN
cana-664	97	112	image	image	NOUN
cana-664	97	113	dataset	dataset	NOUN
cana-664	97	114	introduced	introduce	VERB
cana-664	97	115	a	a	DET
cana-664	97	116	capsule	capsule	NOUN
cana-664	97	117	network	network	NOUN
cana-664	97	118	-	-	PUNCT
cana-664	97	119	based	base	VERB
cana-664	97	120	method	method	NOUN
cana-664	97	121	for	for	ADP
cana-664	97	122	detecting	detect	VERB
cana-664	97	123	splicing	splicing	NOUN
cana-664	97	124	forgeries	forgery	NOUN
cana-664	97	125	in	in	ADP
cana-664	97	126	ultrasound	ultrasound	ADJ
cana-664	97	127	images	image	NOUN
cana-664	97	128	3	3	NUM
cana-664	97	129	.	.	X
cana-664	98	1	deep	deep	ADJ
cana-664	98	2	learning	learning	NOUN
cana-664	98	3	architectures	architecture	NOUN
cana-664	98	4	for	for	ADP
cana-664	98	5	image	image	NOUN
cana-664	98	6	authentication	authentication	NOUN
cana-664	98	7	a.	a.	NOUN
cana-664	98	8	convolutional	convolutional	ADJ
cana-664	98	9	neural	neural	ADJ
cana-664	98	10	networks	network	NOUN
cana-664	98	11	(	(	PUNCT
cana-664	98	12	cnns	cnns	ADJ
cana-664	98	13	):	):	PUNCT
cana-664	98	14	convolutional	convolutional	ADJ
cana-664	98	15	neural	neural	ADJ
cana-664	98	16	networks	network	NOUN
cana-664	98	17	(	(	PUNCT
cana-664	98	18	cnns	cnns	PROPN
cana-664	98	19	)	)	PUNCT
cana-664	98	20	have	have	AUX
cana-664	98	21	become	become	VERB
cana-664	98	22	a	a	DET
cana-664	98	23	key	key	ADJ
cana-664	98	24	technology	technology	NOUN
cana-664	98	25	in	in	ADP
cana-664	98	26	picture	picture	NOUN
cana-664	98	27	identification	identification	NOUN
cana-664	98	28	because	because	SCONJ
cana-664	98	29	they	they	PRON
cana-664	98	30	are	be	AUX
cana-664	98	31	very	very	ADV
cana-664	98	32	good	good	ADJ
cana-664	98	33	at	at	ADP
cana-664	98	34	finding	find	VERB
cana-664	98	35	and	and	CCONJ
cana-664	98	36	identifying	identify	VERB
cana-664	98	37	parts	part	NOUN
cana-664	98	38	of	of	ADP
cana-664	98	39	images	image	NOUN
cana-664	98	40	that	that	PRON
cana-664	98	41	have	have	AUX
cana-664	98	42	been	be	AUX
cana-664	98	43	changed	change	VERB
cana-664	98	44	or	or	CCONJ
cana-664	98	45	faked	fake	VERB
cana-664	98	46	.	.	PUNCT
cana-664	99	1	cnns	cnns	PROPN
cana-664	99	2	are	be	AUX
cana-664	99	3	a	a	DET
cana-664	99	4	type	type	NOUN
cana-664	99	5	of	of	ADP
cana-664	99	6	deep	deep	ADJ
cana-664	99	7	neural	neural	ADJ
cana-664	99	8	network	network	NOUN
cana-664	99	9	that	that	PRON
cana-664	99	10	is	be	AUX
cana-664	99	11	meant	mean	VERB
cana-664	99	12	to	to	PART
cana-664	99	13	handle	handle	VERB
cana-664	99	14	and	and	CCONJ
cana-664	99	15	analyze	analyze	VERB
cana-664	99	16	visual	visual	ADJ
cana-664	99	17	data	datum	NOUN
cana-664	99	18	.	.	PUNCT
cana-664	100	1	this	this	PRON
cana-664	100	2	makes	make	VERB
cana-664	100	3	them	they	PRON
cana-664	100	4	great	great	ADJ
cana-664	100	5	for	for	ADP
cana-664	100	6	tasks	task	NOUN
cana-664	100	7	like	like	ADP
cana-664	100	8	picture	picture	NOUN
cana-664	100	9	segmentation	segmentation	NOUN
cana-664	100	10	,	,	PUNCT
cana-664	100	11	object	object	NOUN
cana-664	100	12	recognition	recognition	NOUN
cana-664	100	13	,	,	PUNCT
cana-664	100	14	and	and	CCONJ
cana-664	100	15	image	image	NOUN
cana-664	100	16	classification	classification	NOUN
cana-664	100	17	,	,	PUNCT
cana-664	100	18	shown	show	VERB
cana-664	100	19	in	in	ADP
cana-664	100	20	figure	figure	NOUN
cana-664	100	21	2	2	NUM
cana-664	100	22	.	.	PUNCT
cana-664	101	1	algorithm	algorithm	NOUN
cana-664	101	2	:	:	PUNCT
cana-664	101	3	step	step	NOUN
cana-664	101	4	1	1	NUM
cana-664	101	5	:	:	PUNCT
cana-664	101	6	input	input	NOUN
cana-664	101	7	representation	representation	NOUN
cana-664	101	8	•	•	ADV
cana-664	101	9	let	let	VERB
cana-664	101	10	x	x	PRON
cana-664	101	11	be	be	AUX
cana-664	101	12	the	the	DET
cana-664	101	13	input	input	ADJ
cana-664	101	14	medical	medical	ADJ
cana-664	101	15	image	image	NOUN
cana-664	101	16	.	.	PUNCT
cana-664	102	1	•	•	NUM
cana-664	102	2	x	x	X
cana-664	102	3	is	be	AUX
cana-664	102	4	represented	represent	VERB
cana-664	102	5	as	as	ADP
cana-664	102	6	a	a	DET
cana-664	102	7	3d	3d	NUM
cana-664	102	8	tensor	tensor	NOUN
cana-664	102	9	with	with	ADP
cana-664	102	10	dimensions	dimension	NOUN
cana-664	102	11	(	(	PUNCT
cana-664	102	12	height	height	NOUN
cana-664	102	13	,	,	PUNCT
cana-664	102	14	width	width	ADJ
cana-664	102	15	,	,	PUNCT
cana-664	102	16	channels	channel	NOUN
cana-664	102	17	)	)	PUNCT
cana-664	102	18	,	,	PUNCT
cana-664	102	19	where	where	SCONJ
cana-664	102	20	channels	channel	NOUN
cana-664	102	21	represent	represent	VERB
cana-664	102	22	the	the	DET
cana-664	102	23	color	color	NOUN
cana-664	102	24	channels	channel	NOUN
cana-664	102	25	(	(	PUNCT
cana-664	102	26	e.g.	e.g.	ADV
cana-664	102	27	,	,	PUNCT
cana-664	102	28	rgb	rgb	PROPN
cana-664	102	29	)	)	PUNCT
cana-664	102	30	.	.	PUNCT
cana-664	103	1	step	step	NOUN
cana-664	103	2	2	2	NUM
cana-664	103	3	:	:	PUNCT
cana-664	103	4	convolution	convolution	NOUN
cana-664	103	5	operation	operation	NOUN
cana-664	103	6	1	1	X
cana-664	103	7	.	.	PUNCT
cana-664	103	8	apply	apply	VERB
cana-664	103	9	n	n	DET
cana-664	103	10	convolutional	convolutional	ADJ
cana-664	103	11	filters	filter	NOUN
cana-664	103	12	of	of	ADP
cana-664	103	13	size	size	NOUN
cana-664	103	14	f	f	PROPN
cana-664	103	15	x	x	X
cana-664	103	16	f	f	PROPN
cana-664	103	17	to	to	ADP
cana-664	103	18	the	the	DET
cana-664	103	19	input	input	NOUN
cana-664	103	20	image	image	NOUN
cana-664	103	21	x	x	PART
cana-664	103	22	to	to	PART
cana-664	103	23	extract	extract	VERB
cana-664	103	24	features	feature	NOUN
cana-664	103	25	.	.	PUNCT
cana-664	104	1	2	2	X
cana-664	104	2	.	.	X
cana-664	104	3	let	let	AUX
cana-664	104	4	w^{[l	w^{[l	PROPN
cana-664	104	5	]	]	PUNCT
cana-664	104	6	}	}	PUNCT
cana-664	104	7	represent	represent	VERB
cana-664	104	8	the	the	DET
cana-664	104	9	weights	weight	NOUN
cana-664	104	10	of	of	ADP
cana-664	104	11	the	the	DET
cana-664	104	12	lth	lth	NOUN
cana-664	104	13	convolutional	convolutional	ADJ
cana-664	104	14	layer	layer	NOUN
cana-664	104	15	.	.	PUNCT
cana-664	105	1	3	3	X
cana-664	105	2	.	.	X
cana-664	105	3	convolution	convolution	NOUN
cana-664	105	4	operation	operation	NOUN
cana-664	105	5	:	:	PUNCT
cana-664	106	1	𝑍𝑖	𝑍𝑖	VERB
cana-664	106	2	,	,	PUNCT
cana-664	106	3	𝑗	𝑗	NOUN
cana-664	106	4	,	,	PUNCT
cana-664	106	5	𝑘[𝑙	𝑘[𝑙	NOUN
cana-664	106	6	]	]	X
cana-664	106	7	=	=	SYM
cana-664	106	8	∑	∑	PUNCT
cana-664	106	9	∑	∑	PROPN
cana-664	106	10	∑	∑	PROPN
cana-664	106	11	𝑊𝑚	𝑊𝑚	PROPN
cana-664	106	12	,	,	PUNCT
cana-664	106	13	𝑛	𝑛	PROPN
cana-664	106	14	,	,	PUNCT
cana-664	106	15	𝑐	𝑐	NOUN
cana-664	106	16	,	,	PUNCT
cana-664	106	17	𝑘[𝑙	𝑘[𝑙	NOUN
cana-664	106	18	]	]	X
cana-664	106	19	⋅	⋅	X
cana-664	106	20	𝑋𝑖	𝑋𝑖	PROPN
cana-664	106	21	+	+	PROPN
cana-664	106	22	𝑚	𝑚	PROPN
cana-664	106	23	,	,	PUNCT
cana-664	106	24	𝑗	𝑗	PROPN
cana-664	106	25	+	+	NUM
cana-664	106	26	𝑛	𝑛	ADJ
cana-664	106	27	,	,	PUNCT
cana-664	106	28	𝑐	𝑐	PROPN
cana-664	106	29	+	+	CCONJ
cana-664	106	30	𝑏𝑘[𝑙	𝑏𝑘[𝑙	PROPN
cana-664	106	31	]	]	PUNCT
cana-664	106	32	𝑐−1	𝑐−1	NOUN
cana-664	106	33	𝑐=0	𝑐=0	PROPN
cana-664	106	34	𝑙−1	𝑙−1	PROPN
cana-664	106	35	𝑛=0	𝑛=0	PROPN
cana-664	106	36	𝑙−1	𝑙−1	ADV
cana-664	106	37	𝑚=0	𝑚=0	PUNCT
cana-664	106	38	communications	communication	NOUN
cana-664	106	39	on	on	ADP
cana-664	106	40	applied	apply	VERB
cana-664	106	41	nonlinear	nonlinear	ADJ
cana-664	106	42	analysis	analysis	NOUN
cana-664	106	43	issn	issn	NOUN
cana-664	106	44	:	:	PUNCT
cana-664	106	45	1074	1074	NUM
cana-664	106	46	-	-	PUNCT
cana-664	106	47	133x	133x	NUM
cana-664	106	48	vol	vol	NOUN
cana-664	106	49	31	31	NUM
cana-664	106	50	no	no	NOUN
cana-664	106	51	.	.	PUNCT
cana-664	107	1	2s	2s	NUM
cana-664	107	2	(	(	PUNCT
cana-664	107	3	2024	2024	NUM
cana-664	107	4	)	)	PUNCT
cana-664	107	5	520	520	NUM
cana-664	107	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-664	107	7	figure	figure	NOUN
cana-664	107	8	2	2	NUM
cana-664	107	9	:	:	PUNCT
cana-664	107	10	overview	overview	NOUN
cana-664	107	11	of	of	ADP
cana-664	107	12	cnn	cnn	PROPN
cana-664	107	13	architecture	architecture	NOUN
cana-664	107	14	step	step	NOUN
cana-664	107	15	3	3	NUM
cana-664	107	16	:	:	PUNCT
cana-664	107	17	activation	activation	NOUN
cana-664	107	18	function	function	NOUN
cana-664	107	19	•	•	NUM
cana-664	107	20	apply	apply	VERB
cana-664	107	21	an	an	DET
cana-664	107	22	activation	activation	NOUN
cana-664	107	23	function	function	NOUN
cana-664	107	24	g^{[l	g^{[l	PROPN
cana-664	107	25	]	]	X
cana-664	107	26	}	}	PUNCT
cana-664	107	27	(	(	PUNCT
cana-664	107	28	.	.	PUNCT
cana-664	107	29	)	)	PUNCT
cana-664	107	30	element	element	NOUN
cana-664	107	31	-	-	ADJ
cana-664	107	32	wise	wise	ADJ
cana-664	107	33	to	to	ADP
cana-664	107	34	the	the	DET
cana-664	107	35	output	output	NOUN
cana-664	107	36	of	of	ADP
cana-664	107	37	the	the	DET
cana-664	107	38	convolution	convolution	NOUN
cana-664	107	39	operation	operation	NOUN
cana-664	107	40	:	:	PUNCT
cana-664	107	41	𝐴{𝑖,𝑗,𝑘	𝐴{𝑖,𝑗,𝑘	X
cana-664	107	42	}	}	PUNCT
cana-664	107	43	{	{	PUNCT
cana-664	108	1	[	[	X
cana-664	108	2	𝑙	𝑙	X
cana-664	108	3	]	]	X
cana-664	108	4	}	}	PUNCT
cana-664	108	5	=	=	SYM
cana-664	108	6	𝑔{[𝑙	𝑔{[𝑙	NOUN
cana-664	108	7	]	]	PUNCT
cana-664	108	8	}	}	PUNCT
cana-664	108	9	(	(	PUNCT
cana-664	108	10	𝑍{𝑖,𝑗,𝑘	𝑍{𝑖,𝑗,𝑘	X
cana-664	108	11	}	}	PUNCT
cana-664	108	12	{	{	PUNCT
cana-664	109	1	[	[	X
cana-664	109	2	𝑙	𝑙	X
cana-664	109	3	]	]	X
cana-664	109	4	}	}	PUNCT
cana-664	109	5	)	)	PUNCT
cana-664	109	6	step	step	NOUN
cana-664	109	7	4	4	NUM
cana-664	109	8	:	:	PUNCT
cana-664	109	9	pooling	pool	VERB
cana-664	109	10	operation	operation	NOUN
cana-664	109	11	•	•	ADP
cana-664	109	12	apply	apply	VERB
cana-664	109	13	max	max	PROPN
cana-664	109	14	pooling	pooling	NOUN
cana-664	109	15	or	or	CCONJ
cana-664	109	16	average	average	ADJ
cana-664	109	17	pooling	pooling	NOUN
cana-664	109	18	to	to	PART
cana-664	109	19	reduce	reduce	VERB
cana-664	109	20	the	the	DET
cana-664	109	21	spatial	spatial	ADJ
cana-664	109	22	dimensions	dimension	NOUN
cana-664	109	23	of	of	ADP
cana-664	109	24	the	the	DET
cana-664	109	25	feature	feature	NOUN
cana-664	109	26	maps	map	NOUN
cana-664	109	27	:	:	PUNCT
cana-664	109	28	𝐴{𝑖,𝑗,𝑘	𝐴{𝑖,𝑗,𝑘	X
cana-664	109	29	}	}	PUNCT
cana-664	109	30	{	{	PUNCT
cana-664	109	31	[	[	X
cana-664	109	32	𝑙	𝑙	X
cana-664	109	33	]	]	X
cana-664	109	34	}	}	PUNCT
cana-664	109	35	=	=	SYM
cana-664	109	36	𝑝𝑜𝑜𝑙𝑖𝑛𝑔	𝑝𝑜𝑜𝑙𝑖𝑛𝑔	NOUN
cana-664	109	37	(	(	PUNCT
cana-664	109	38	𝐴{𝑖,𝑗,𝑘	𝐴{𝑖,𝑗,𝑘	X
cana-664	109	39	}	}	PUNCT
cana-664	109	40	{	{	PUNCT
cana-664	110	1	[	[	X
cana-664	110	2	𝑙−1	𝑙−1	X
cana-664	110	3	]	]	X
cana-664	110	4	}	}	PUNCT
cana-664	110	5	)	)	PUNCT
cana-664	110	6	step	step	NOUN
cana-664	110	7	5	5	NUM
cana-664	110	8	:	:	PUNCT
cana-664	110	9	flattening	flatten	VERB
cana-664	110	10	•	•	NOUN
cana-664	110	11	flatten	flatten	VERB
cana-664	110	12	the	the	DET
cana-664	110	13	output	output	NOUN
cana-664	110	14	feature	feature	NOUN
cana-664	110	15	maps	map	NOUN
cana-664	110	16	a^{[l	a^{[l	PROPN
cana-664	110	17	]	]	PUNCT
cana-664	110	18	}	}	PUNCT
cana-664	110	19	into	into	ADP
cana-664	110	20	a	a	DET
cana-664	110	21	1d	1d	NUM
cana-664	110	22	vector	vector	NOUN
cana-664	110	23	:	:	PUNCT
cana-664	110	24	𝐴{𝑓𝑙𝑎𝑡𝑡𝑒𝑛𝑒𝑑	𝐴{𝑓𝑙𝑎𝑡𝑡𝑒𝑛𝑒𝑑	PROPN
cana-664	110	25	}	}	PUNCT
cana-664	110	26	{	{	PUNCT
cana-664	111	1	[	[	X
cana-664	111	2	𝑙	𝑙	X
cana-664	111	3	]	]	X
cana-664	111	4	}	}	PUNCT
cana-664	111	5	=	=	SYM
cana-664	111	6	𝑓𝑙𝑎𝑡𝑡𝑒𝑛(𝐴{[𝑙	𝑓𝑙𝑎𝑡𝑡𝑒𝑛(𝐴{[𝑙	PROPN
cana-664	111	7	]	]	PUNCT
cana-664	111	8	}	}	PUNCT
cana-664	111	9	)	)	PUNCT
cana-664	111	10	step	step	NOUN
cana-664	111	11	6	6	NUM
cana-664	111	12	:	:	PUNCT
cana-664	111	13	fully	fully	ADV
cana-664	111	14	connected	connected	ADJ
cana-664	111	15	layers	layer	NOUN
cana-664	111	16	•	•	ADV
cana-664	111	17	pass	pass	VERB
cana-664	111	18	the	the	DET
cana-664	111	19	flattened	flatten	VERB
cana-664	111	20	vector	vector	NOUN
cana-664	111	21	through	through	ADP
cana-664	111	22	one	one	NUM
cana-664	111	23	or	or	CCONJ
cana-664	111	24	more	more	ADV
cana-664	111	25	fully	fully	ADV
cana-664	111	26	connected	connected	ADJ
cana-664	111	27	layers	layer	NOUN
cana-664	111	28	with	with	ADP
cana-664	111	29	weights	weight	NOUN
cana-664	111	30	w^{[fc	w^{[fc	PROPN
cana-664	111	31	]	]	PUNCT
cana-664	111	32	}	}	PUNCT
cana-664	111	33	and	and	CCONJ
cana-664	111	34	biases	bias	NOUN
cana-664	111	35	b^{[fc	b^{[fc	PROPN
cana-664	111	36	]	]	PUNCT
cana-664	111	37	}	}	PUNCT
cana-664	111	38	:	:	PUNCT
cana-664	111	39	𝑍{[𝑓𝑐	𝑍{[𝑓𝑐	ADJ
cana-664	111	40	]	]	X
cana-664	111	41	}	}	PUNCT
cana-664	111	42	=	=	SYM
cana-664	111	43	𝑊{[𝑓𝑐	𝑊{[𝑓𝑐	PROPN
cana-664	111	44	]	]	PUNCT
cana-664	111	45	}	}	PUNCT
cana-664	111	46	.	.	PUNCT
cana-664	112	1	𝐴{𝑓𝑙𝑎𝑡𝑡𝑒𝑛𝑒𝑑	𝐴{𝑓𝑙𝑎𝑡𝑡𝑒𝑛𝑒𝑑	PROPN
cana-664	112	2	}	}	PUNCT
cana-664	112	3	{	{	PUNCT
cana-664	113	1	[	[	X
cana-664	113	2	𝑙	𝑙	X
cana-664	113	3	]	]	X
cana-664	113	4	}	}	PUNCT
cana-664	113	5	+	+	CCONJ
cana-664	113	6	𝑏{[𝑓𝑐	𝑏{[𝑓𝑐	PROPN
cana-664	113	7	]	]	PUNCT
cana-664	113	8	}	}	PUNCT
cana-664	113	9	step	step	VERB
cana-664	113	10	7	7	NUM
cana-664	113	11	:	:	PUNCT
cana-664	113	12	output	output	NOUN
cana-664	113	13	layer	layer	NOUN
cana-664	113	14	•	•	ADP
cana-664	113	15	apply	apply	VERB
cana-664	113	16	the	the	DET
cana-664	113	17	softmax	softmax	NOUN
cana-664	113	18	function	function	NOUN
cana-664	113	19	to	to	PART
cana-664	113	20	obtain	obtain	VERB
cana-664	113	21	the	the	DET
cana-664	113	22	predicted	predict	VERB
cana-664	113	23	probabilities	probability	NOUN
cana-664	113	24	for	for	ADP
cana-664	113	25	each	each	DET
cana-664	113	26	class	class	NOUN
cana-664	113	27	:	:	PUNCT
cana-664	113	28	{	{	PUNCT
cana-664	113	29	𝑦	𝑦	NOUN
cana-664	113	30	}	}	PUNCT
cana-664	113	31	=	=	SYM
cana-664	113	32	𝑠𝑜𝑓𝑡𝑚𝑎𝑥(𝑍^{[𝑓𝑐	𝑠𝑜𝑓𝑡𝑚𝑎𝑥(𝑍^{[𝑓𝑐	PROPN
cana-664	113	33	]	]	PUNCT
cana-664	113	34	}	}	PUNCT
cana-664	113	35	)	)	PUNCT
cana-664	113	36	b.	b.	PROPN
cana-664	113	37	residual	residual	ADJ
cana-664	113	38	networks	network	NOUN
cana-664	113	39	(	(	PUNCT
cana-664	113	40	resnet	resnet	NOUN
cana-664	113	41	)	)	PUNCT
cana-664	113	42	resnet	resnet	NOUN
cana-664	113	43	's	's	PART
cana-664	113	44	main	main	ADJ
cana-664	113	45	new	new	ADJ
cana-664	113	46	feature	feature	NOUN
cana-664	113	47	is	be	AUX
cana-664	113	48	its	its	PRON
cana-664	113	49	residue	residue	NOUN
cana-664	113	50	blocks	block	NOUN
cana-664	113	51	,	,	PUNCT
cana-664	113	52	which	which	PRON
cana-664	113	53	are	be	AUX
cana-664	113	54	made	make	VERB
cana-664	113	55	up	up	ADP
cana-664	113	56	of	of	ADP
cana-664	113	57	short	short	ADJ
cana-664	113	58	-	-	PUNCT
cana-664	113	59	cut	cut	VERB
cana-664	113	60	links	link	NOUN
cana-664	113	61	that	that	PRON
cana-664	113	62	skip	skip	VERB
cana-664	113	63	one	one	NUM
cana-664	113	64	or	or	CCONJ
cana-664	113	65	more	more	ADJ
cana-664	113	66	network	network	NOUN
cana-664	113	67	levels	level	NOUN
cana-664	113	68	.	.	PUNCT
cana-664	114	1	these	these	DET
cana-664	114	2	fast	fast	ADJ
cana-664	114	3	links	link	NOUN
cana-664	114	4	make	make	VERB
cana-664	114	5	it	it	PRON
cana-664	114	6	easier	easy	ADJ
cana-664	114	7	for	for	SCONJ
cana-664	114	8	the	the	DET
cana-664	114	9	gradient	gradient	NOUN
cana-664	114	10	to	to	PART
cana-664	114	11	move	move	VERB
cana-664	114	12	during	during	ADP
cana-664	114	13	backpropagation	backpropagation	NOUN
cana-664	114	14	.	.	PUNCT
cana-664	115	1	this	this	PRON
cana-664	115	2	makes	make	VERB
cana-664	115	3	it	it	PRON
cana-664	115	4	easier	easy	ADJ
cana-664	115	5	to	to	PART
cana-664	115	6	train	train	VERB
cana-664	115	7	very	very	ADV
cana-664	115	8	deep	deep	ADJ
cana-664	115	9	networks	network	NOUN
cana-664	115	10	with	with	ADP
cana-664	115	11	hundreds	hundred	NOUN
cana-664	115	12	or	or	CCONJ
cana-664	115	13	even	even	ADV
cana-664	115	14	thousands	thousand	NOUN
cana-664	115	15	of	of	ADP
cana-664	115	16	layers	layer	NOUN
cana-664	115	17	.	.	PUNCT
cana-664	116	1	so	so	ADV
cana-664	116	2	,	,	PUNCT
cana-664	116	3	resnet	resnet	NOUN
cana-664	116	4	designs	design	NOUN
cana-664	116	5	can	can	AUX
cana-664	116	6	reach	reach	VERB
cana-664	116	7	depths	depth	NOUN
cana-664	116	8	that	that	PRON
cana-664	116	9	have	have	AUX
cana-664	116	10	never	never	ADV
cana-664	116	11	been	be	AUX
cana-664	116	12	seen	see	VERB
cana-664	116	13	before	before	ADP
cana-664	116	14	while	while	SCONJ
cana-664	116	15	keeping	keep	VERB
cana-664	116	16	or	or	CCONJ
cana-664	116	17	even	even	ADV
cana-664	116	18	improving	improve	VERB
cana-664	116	19	performance	performance	NOUN
cana-664	116	20	.	.	PUNCT
cana-664	117	1	this	this	PRON
cana-664	117	2	goes	go	VERB
cana-664	117	3	beyond	beyond	ADP
cana-664	117	4	past	past	ADJ
cana-664	117	5	limits	limit	NOUN
cana-664	117	6	in	in	ADP
cana-664	117	7	network	network	NOUN
cana-664	117	8	depth	depth	NOUN
cana-664	117	9	and	and	CCONJ
cana-664	117	10	helps	help	VERB
cana-664	117	11	learning	learn	VERB
cana-664	117	12	go	go	VERB
cana-664	117	13	more	more	ADV
cana-664	117	14	smoothly	smoothly	ADV
cana-664	117	15	,	,	PUNCT
cana-664	117	16	architecture	architecture	NOUN
cana-664	117	17	shown	show	VERB
cana-664	117	18	in	in	ADP
cana-664	117	19	figure	figure	NOUN
cana-664	117	20	3	3	NUM
cana-664	117	21	.	.	PUNCT
cana-664	117	22	communications	communication	NOUN
cana-664	117	23	on	on	ADP
cana-664	117	24	applied	apply	VERB
cana-664	117	25	nonlinear	nonlinear	ADJ
cana-664	117	26	analysis	analysis	NOUN
cana-664	117	27	issn	issn	NOUN
cana-664	117	28	:	:	PUNCT
cana-664	117	29	1074	1074	NUM
cana-664	117	30	-	-	PUNCT
cana-664	117	31	133x	133x	NUM
cana-664	117	32	vol	vol	NOUN
cana-664	117	33	31	31	NUM
cana-664	117	34	no	no	NOUN
cana-664	117	35	.	.	PUNCT
cana-664	118	1	2s	2s	NUM
cana-664	118	2	(	(	PUNCT
cana-664	118	3	2024	2024	NUM
cana-664	118	4	)	)	PUNCT
cana-664	118	5	521	521	NUM
cana-664	118	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-664	118	7	figure	figure	NOUN
cana-664	118	8	3	3	NUM
cana-664	118	9	:	:	PUNCT
cana-664	118	10	resnet	resnet	ADJ
cana-664	118	11	architecture	architecture	NOUN
cana-664	118	12	algorithm	algorithm	NOUN
cana-664	118	13	:	:	PUNCT
cana-664	118	14	step	step	NOUN
cana-664	118	15	1	1	NUM
cana-664	118	16	:	:	PUNCT
cana-664	118	17	representing	represent	VERB
cana-664	118	18	the	the	DET
cana-664	118	19	input	input	NOUN
cana-664	118	20	•	•	ADP
cana-664	118	21	the	the	DET
cana-664	118	22	input	input	NOUN
cana-664	118	23	feature	feature	NOUN
cana-664	118	24	map	map	NOUN
cana-664	118	25	is	be	AUX
cana-664	118	26	shown	show	VERB
cana-664	118	27	by	by	ADP
cana-664	118	28	x.	x.	PROPN
cana-664	118	29	•	•	PROPN
cana-664	118	30	x	x	PUNCT
cana-664	118	31	goes	go	VERB
cana-664	118	32	through	through	ADP
cana-664	118	33	the	the	DET
cana-664	118	34	first	first	ADJ
cana-664	118	35	convolutional	convolutional	ADJ
cana-664	118	36	layer	layer	NOUN
cana-664	118	37	to	to	PART
cana-664	118	38	get	get	VERB
cana-664	118	39	basic	basic	ADJ
cana-664	118	40	data	datum	NOUN
cana-664	118	41	out	out	ADP
cana-664	118	42	of	of	ADP
cana-664	118	43	it	it	PRON
cana-664	118	44	.	.	PUNCT
cana-664	119	1	step	step	NOUN
cana-664	119	2	2	2	NUM
cana-664	119	3	:	:	PUNCT
cana-664	119	4	residual	residual	ADJ
cana-664	119	5	block	block	NOUN
cana-664	119	6	•	•	ADP
cana-664	119	7	there	there	PRON
cana-664	119	8	are	be	VERB
cana-664	119	9	two	two	NUM
cana-664	119	10	main	main	ADJ
cana-664	119	11	paths	path	NOUN
cana-664	119	12	in	in	ADP
cana-664	119	13	the	the	DET
cana-664	119	14	residue	residue	NOUN
cana-664	119	15	block	block	NOUN
cana-664	119	16	.	.	PUNCT
cana-664	120	1	these	these	PRON
cana-664	120	2	are	be	AUX
cana-664	120	3	the	the	DET
cana-664	120	4	identity	identity	NOUN
cana-664	120	5	path	path	NOUN
cana-664	120	6	and	and	CCONJ
cana-664	120	7	the	the	DET
cana-664	120	8	convolutional	convolutional	ADJ
cana-664	120	9	path	path	NOUN
cana-664	120	10	.	.	PUNCT
cana-664	121	1	•	•	NOUN
cana-664	121	2	the	the	DET
cana-664	121	3	identity	identity	NOUN
cana-664	121	4	path	path	NOUN
cana-664	121	5	takes	take	VERB
cana-664	121	6	the	the	DET
cana-664	121	7	input	input	NOUN
cana-664	121	8	x	x	PUNCT
cana-664	121	9	and	and	CCONJ
cana-664	121	10	sends	send	VERB
cana-664	121	11	it	it	PRON
cana-664	121	12	straight	straight	ADV
cana-664	121	13	to	to	ADP
cana-664	121	14	the	the	DET
cana-664	121	15	output	output	NOUN
cana-664	121	16	,	,	PUNCT
cana-664	121	17	without	without	ADP
cana-664	121	18	changing	change	VERB
cana-664	121	19	anything	anything	PRON
cana-664	121	20	.	.	PUNCT
cana-664	122	1	•	•	ADP
cana-664	122	2	a	a	DET
cana-664	122	3	set	set	NOUN
cana-664	122	4	of	of	ADP
cana-664	122	5	convolutional	convolutional	ADJ
cana-664	122	6	layers	layer	NOUN
cana-664	122	7	are	be	AUX
cana-664	122	8	applied	apply	VERB
cana-664	122	9	to	to	ADP
cana-664	122	10	the	the	DET
cana-664	122	11	input	input	NOUN
cana-664	122	12	x	x	PUNCT
cana-664	122	13	by	by	ADP
cana-664	122	14	the	the	DET
cana-664	122	15	convolutional	convolutional	ADJ
cana-664	122	16	path	path	NOUN
cana-664	122	17	to	to	PART
cana-664	122	18	learn	learn	VERB
cana-664	122	19	leftover	leftover	NOUN
cana-664	122	20	maps	map	NOUN
cana-664	122	21	.	.	PUNCT
cana-664	123	1	•	•	PUNCT
cana-664	124	1	taking	take	VERB
cana-664	124	2	the	the	DET
cana-664	124	3	output	output	NOUN
cana-664	124	4	of	of	ADP
cana-664	124	5	the	the	DET
cana-664	124	6	convolutional	convolutional	ADJ
cana-664	124	7	path	path	NOUN
cana-664	124	8	and	and	CCONJ
cana-664	124	9	adding	add	VERB
cana-664	124	10	it	it	PRON
cana-664	124	11	to	to	ADP
cana-664	124	12	the	the	DET
cana-664	124	13	input	input	NOUN
cana-664	124	14	x	x	PART
cana-664	124	15	gives	give	VERB
cana-664	124	16	you	you	PRON
cana-664	124	17	the	the	DET
cana-664	124	18	output	output	NOUN
cana-664	124	19	of	of	ADP
cana-664	124	20	the	the	DET
cana-664	124	21	leftover	leftover	NOUN
cana-664	124	22	block	block	NOUN
cana-664	124	23	h(x	h(x	PROPN
cana-664	124	24	):	):	PUNCT
cana-664	124	25	𝐼(𝜃	𝐼(𝜃	NOUN
cana-664	124	26	)	)	PUNCT
cana-664	124	27	=	=	SYM
cana-664	124	28	𝐼(𝐿	𝐼(𝐿	NOUN
cana-664	124	29	)	)	PUNCT
cana-664	125	1	+	+	CCONJ
cana-664	125	2	𝐼(𝑋	𝐼(𝑋	ADJ
cana-664	125	3	)	)	PUNCT
cana-664	125	4	𝐻(𝑋	𝐻(𝑋	NOUN
cana-664	125	5	)	)	PUNCT
cana-664	125	6	=	=	SYM
cana-664	125	7	𝐹(𝑋	𝐹(𝑋	PROPN
cana-664	125	8	)	)	PUNCT
cana-664	126	1	+	+	CCONJ
cana-664	126	2	𝑋	𝑋	NOUN
cana-664	126	3	step	step	NOUN
cana-664	126	4	3	3	NUM
cana-664	126	5	:	:	PUNCT
cana-664	126	6	function	function	NOUN
cana-664	126	7	of	of	ADP
cana-664	126	8	activation	activation	NOUN
cana-664	126	9	•	•	ADP
cana-664	126	10	apply	apply	VERB
cana-664	126	11	a	a	DET
cana-664	126	12	nonlinear	nonlinear	ADJ
cana-664	126	13	activation	activation	NOUN
cana-664	126	14	function	function	NOUN
cana-664	126	15	𝑏	𝑏	PROPN
cana-664	126	16	(	(	PUNCT
cana-664	126	17	†	†	NOUN
cana-664	126	18	)	)	PUNCT
cana-664	126	19	g	g	PROPN
cana-664	126	20	(	(	PUNCT
cana-664	126	21	 	 	SPACE
cana-664	126	22	)	)	PUNCT
cana-664	126	23	to	to	ADP
cana-664	126	24	the	the	DET
cana-664	126	25	output	output	NOUN
cana-664	126	26	of	of	ADP
cana-664	126	27	the	the	DET
cana-664	126	28	residue	residue	NOUN
cana-664	126	29	block	block	NOUN
cana-664	126	30	one	one	NUM
cana-664	126	31	element	element	NOUN
cana-664	126	32	at	at	ADP
cana-664	126	33	a	a	DET
cana-664	126	34	time	time	NOUN
cana-664	126	35	:	:	PUNCT
cana-664	126	36	𝐴	𝐴	PROPN
cana-664	126	37	=	=	PUNCT
cana-664	126	38	𝑔	𝑔	PROPN
cana-664	126	39	(	(	PUNCT
cana-664	126	40	𝐻	𝐻	PROPN
cana-664	126	41	(	(	PUNCT
cana-664	126	42	𝑋	𝑋	NOUN
cana-664	126	43	)	)	PUNCT
cana-664	126	44	)	)	PUNCT
cana-664	127	1	𝐴	𝐴	NOUN
cana-664	127	2	=	=	SYM
cana-664	127	3	𝑔(𝐻(𝑋	𝑔(𝐻(𝑋	PROPN
cana-664	127	4	)	)	PUNCT
cana-664	127	5	)	)	PUNCT
cana-664	127	6	step	step	NOUN
cana-664	127	7	4	4	NUM
cana-664	127	8	:	:	PUNCT
cana-664	127	9	stacking	stack	VERB
cana-664	127	10	residual	residual	ADJ
cana-664	127	11	blocks	block	NOUN
cana-664	127	12	•	•	NUM
cana-664	127	13	stack	stack	VERB
cana-664	127	14	several	several	ADJ
cana-664	127	15	leftover	leftover	NOUN
cana-664	127	16	blocks	block	NOUN
cana-664	127	17	to	to	PART
cana-664	127	18	make	make	VERB
cana-664	127	19	deeper	deep	ADJ
cana-664	127	20	structures	structure	NOUN
cana-664	127	21	.	.	PUNCT
cana-664	128	1	•	•	ADP
cana-664	128	2	an	an	DET
cana-664	128	3	result	result	NOUN
cana-664	128	4	from	from	ADP
cana-664	128	5	one	one	NUM
cana-664	128	6	residual	residual	ADJ
cana-664	128	7	block	block	NOUN
cana-664	128	8	is	be	AUX
cana-664	128	9	fed	feed	VERB
cana-664	128	10	into	into	ADP
cana-664	128	11	the	the	DET
cana-664	128	12	next	next	ADJ
cana-664	128	13	residual	residual	ADJ
cana-664	128	14	block	block	NOUN
cana-664	128	15	.	.	PUNCT
cana-664	129	1	step	step	NOUN
cana-664	129	2	5	5	NUM
cana-664	129	3	:	:	PUNCT
cana-664	129	4	the	the	DET
cana-664	129	5	output	output	NOUN
cana-664	129	6	layer	layer	NOUN
cana-664	129	7	•	•	ADP
cana-664	129	8	the	the	DET
cana-664	129	9	output	output	NOUN
cana-664	129	10	layer	layer	NOUN
cana-664	129	11	puts	put	VERB
cana-664	129	12	together	together	ADV
cana-664	129	13	the	the	DET
cana-664	129	14	features	feature	NOUN
cana-664	129	15	that	that	SCONJ
cana-664	129	16	the	the	DET
cana-664	129	17	stacked	stack	VERB
cana-664	129	18	residue	residue	NOUN
cana-664	129	19	blocks	block	NOUN
cana-664	129	20	have	have	AUX
cana-664	129	21	learned	learn	VERB
cana-664	129	22	so	so	SCONJ
cana-664	129	23	that	that	SCONJ
cana-664	129	24	the	the	DET
cana-664	129	25	final	final	ADJ
cana-664	129	26	classification	classification	NOUN
cana-664	129	27	or	or	CCONJ
cana-664	129	28	regression	regression	NOUN
cana-664	129	29	can	can	AUX
cana-664	129	30	happen	happen	VERB
cana-664	129	31	.	.	PUNCT
cana-664	130	1	•	•	X
cana-664	130	2	to	to	PART
cana-664	130	3	decrease	decrease	VERB
cana-664	130	4	the	the	DET
cana-664	130	5	size	size	NOUN
cana-664	130	6	of	of	ADP
cana-664	130	7	the	the	DET
cana-664	130	8	space	space	NOUN
cana-664	130	9	,	,	PUNCT
cana-664	130	10	use	use	VERB
cana-664	130	11	the	the	DET
cana-664	130	12	right	right	ADJ
cana-664	130	13	pooling	pooling	NOUN
cana-664	130	14	method	method	NOUN
cana-664	130	15	(	(	PUNCT
cana-664	130	16	for	for	ADP
cana-664	130	17	example	example	NOUN
cana-664	130	18	,	,	PUNCT
cana-664	130	19	global	global	ADJ
cana-664	130	20	average	average	ADJ
cana-664	130	21	pooling	pooling	NOUN
cana-664	130	22	)	)	PUNCT
cana-664	130	23	.	.	PUNCT
cana-664	131	1	•	•	NOUN
cana-664	131	2	for	for	ADP
cana-664	131	3	classification	classification	NOUN
cana-664	131	4	,	,	PUNCT
cana-664	131	5	connect	connect	VERB
cana-664	131	6	a	a	DET
cana-664	131	7	fully	fully	ADV
cana-664	131	8	linked	link	VERB
cana-664	131	9	layer	layer	NOUN
cana-664	131	10	and	and	CCONJ
cana-664	131	11	then	then	ADV
cana-664	131	12	a	a	DET
cana-664	131	13	softmax	softmax	NOUN
cana-664	131	14	activation	activation	NOUN
cana-664	131	15	function	function	NOUN
cana-664	131	16	.	.	PUNCT
cana-664	132	1	for	for	ADP
cana-664	132	2	regression	regression	NOUN
cana-664	132	3	,	,	PUNCT
cana-664	132	4	connect	connect	VERB
cana-664	132	5	a	a	DET
cana-664	132	6	linear	linear	ADJ
cana-664	132	7	activation	activation	NOUN
cana-664	132	8	function	function	NOUN
cana-664	132	9	.	.	PUNCT
cana-664	133	1	communications	communication	NOUN
cana-664	133	2	on	on	ADP
cana-664	133	3	applied	apply	VERB
cana-664	133	4	nonlinear	nonlinear	ADJ
cana-664	133	5	analysis	analysis	NOUN
cana-664	133	6	issn	issn	NOUN
cana-664	133	7	:	:	PUNCT
cana-664	133	8	1074	1074	NUM
cana-664	133	9	-	-	PUNCT
cana-664	133	10	133x	133x	NUM
cana-664	133	11	vol	vol	NOUN
cana-664	133	12	31	31	NUM
cana-664	133	13	no	no	NOUN
cana-664	133	14	.	.	PUNCT
cana-664	134	1	2s	2s	NUM
cana-664	134	2	(	(	PUNCT
cana-664	134	3	2024	2024	NUM
cana-664	134	4	)	)	PUNCT
cana-664	134	5	522	522	NUM
cana-664	134	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-664	134	7	c.	c.	PROPN
cana-664	134	8	capsule	capsule	PROPN
cana-664	134	9	networks	network	VERB
cana-664	134	10	the	the	DET
cana-664	134	11	capsule	capsule	NOUN
cana-664	134	12	networks	network	NOUN
cana-664	134	13	are	be	AUX
cana-664	134	14	a	a	DET
cana-664	134	15	big	big	ADJ
cana-664	134	16	change	change	NOUN
cana-664	134	17	in	in	ADP
cana-664	134	18	the	the	DET
cana-664	134	19	way	way	NOUN
cana-664	134	20	deep	deep	ADJ
cana-664	134	21	learning	learning	NOUN
cana-664	134	22	is	be	AUX
cana-664	134	23	built	build	VERB
cana-664	134	24	.	.	PUNCT
cana-664	135	1	they	they	PRON
cana-664	135	2	offer	offer	VERB
cana-664	135	3	a	a	DET
cana-664	135	4	new	new	ADJ
cana-664	135	5	way	way	NOUN
cana-664	135	6	to	to	PART
cana-664	135	7	show	show	VERB
cana-664	135	8	how	how	SCONJ
cana-664	135	9	data	datum	NOUN
cana-664	135	10	is	be	AUX
cana-664	135	11	organized	organize	VERB
cana-664	135	12	in	in	ADP
cana-664	135	13	a	a	DET
cana-664	135	14	structured	structured	ADJ
cana-664	135	15	way	way	NOUN
cana-664	135	16	.	.	PUNCT
cana-664	136	1	traditional	traditional	ADJ
cana-664	136	2	convolutional	convolutional	ADJ
cana-664	136	3	neural	neural	ADJ
cana-664	136	4	networks	network	NOUN
cana-664	136	5	(	(	PUNCT
cana-664	136	6	cnns	cnns	PROPN
cana-664	136	7	)	)	PUNCT
cana-664	136	8	have	have	VERB
cana-664	136	9	problems	problem	NOUN
cana-664	136	10	with	with	ADP
cana-664	136	11	things	thing	NOUN
cana-664	136	12	like	like	ADP
cana-664	136	13	being	be	AUX
cana-664	136	14	able	able	ADJ
cana-664	136	15	to	to	PART
cana-664	136	16	adapt	adapt	VERB
cana-664	136	17	to	to	ADP
cana-664	136	18	different	different	ADJ
cana-664	136	19	poses	pose	NOUN
cana-664	136	20	and	and	CCONJ
cana-664	136	21	not	not	PART
cana-664	136	22	making	make	VERB
cana-664	136	23	good	good	ADJ
cana-664	136	24	use	use	NOUN
cana-664	136	25	of	of	ADP
cana-664	136	26	spatial	spatial	ADJ
cana-664	136	27	structures	structure	NOUN
cana-664	136	28	.	.	PUNCT
cana-664	137	1	this	this	PRON
cana-664	137	2	makes	make	VERB
cana-664	137	3	feature	feature	NOUN
cana-664	137	4	models	model	NOUN
cana-664	137	5	more	more	ADV
cana-664	137	6	reliable	reliable	ADJ
cana-664	137	7	and	and	CCONJ
cana-664	137	8	easy	easy	ADJ
cana-664	137	9	to	to	PART
cana-664	137	10	understand	understand	VERB
cana-664	137	11	.	.	PUNCT
cana-664	138	1	at	at	ADP
cana-664	138	2	the	the	DET
cana-664	138	3	heart	heart	NOUN
cana-664	138	4	of	of	ADP
cana-664	138	5	capsule	capsule	NOUN
cana-664	138	6	networks	network	NOUN
cana-664	138	7	are	be	AUX
cana-664	138	8	capsules	capsule	NOUN
cana-664	138	9	,	,	PUNCT
cana-664	138	10	which	which	PRON
cana-664	138	11	are	be	AUX
cana-664	138	12	groups	group	NOUN
cana-664	138	13	of	of	ADP
cana-664	138	14	neurons	neuron	NOUN
cana-664	138	15	that	that	PRON
cana-664	138	16	show	show	VERB
cana-664	138	17	different	different	ADJ
cana-664	138	18	aspects	aspect	NOUN
cana-664	138	19	of	of	ADP
cana-664	138	20	an	an	DET
cana-664	138	21	object	object	NOUN
cana-664	138	22	,	,	PUNCT
cana-664	138	23	like	like	ADP
cana-664	138	24	its	its	PRON
cana-664	138	25	position	position	NOUN
cana-664	138	26	,	,	PUNCT
cana-664	138	27	shape	shape	NOUN
cana-664	138	28	,	,	PUNCT
cana-664	138	29	and	and	CCONJ
cana-664	138	30	presence	presence	NOUN
cana-664	138	31	,	,	PUNCT
cana-664	138	32	illustrate	illustrate	VERB
cana-664	138	33	in	in	ADP
cana-664	138	34	figure	figure	NOUN
cana-664	138	35	4	4	NUM
cana-664	138	36	.	.	PUNCT
cana-664	139	1	algorithm	algorithm	NOUN
cana-664	139	2	:	:	PUNCT
cana-664	139	3	step	step	NOUN
cana-664	139	4	1	1	NUM
cana-664	139	5	:	:	PUNCT
cana-664	139	6	input	input	NOUN
cana-664	139	7	representation	representation	NOUN
cana-664	139	8	•	•	ADV
cana-664	139	9	let	let	VERB
cana-664	139	10	x	x	PRON
cana-664	139	11	stand	stand	VERB
cana-664	139	12	for	for	ADP
cana-664	139	13	the	the	DET
cana-664	139	14	raw	raw	ADJ
cana-664	139	15	data	datum	NOUN
cana-664	139	16	,	,	PUNCT
cana-664	139	17	which	which	PRON
cana-664	139	18	could	could	AUX
cana-664	139	19	be	be	AUX
cana-664	139	20	a	a	DET
cana-664	139	21	picture	picture	NOUN
cana-664	139	22	or	or	CCONJ
cana-664	139	23	a	a	DET
cana-664	139	24	list	list	NOUN
cana-664	139	25	of	of	ADP
cana-664	139	26	traits	trait	NOUN
cana-664	139	27	.	.	PUNCT
cana-664	140	1	step	step	NOUN
cana-664	140	2	2	2	NUM
cana-664	140	3	:	:	PUNCT
cana-664	140	4	primary	primary	ADJ
cana-664	140	5	capsules	capsule	NOUN
cana-664	140	6	•	•	NOUN
cana-664	140	7	to	to	PART
cana-664	140	8	get	get	VERB
cana-664	140	9	low	low	ADJ
cana-664	140	10	-	-	PUNCT
cana-664	140	11	level	level	NOUN
cana-664	140	12	features	feature	NOUN
cana-664	140	13	,	,	PUNCT
cana-664	140	14	use	use	VERB
cana-664	140	15	a	a	DET
cana-664	140	16	set	set	NOUN
cana-664	140	17	of	of	ADP
cana-664	140	18	convolutional	convolutional	ADJ
cana-664	140	19	or	or	CCONJ
cana-664	140	20	fully	fully	ADV
cana-664	140	21	linked	link	VERB
cana-664	140	22	layers	layer	NOUN
cana-664	140	23	on	on	ADP
cana-664	140	24	the	the	DET
cana-664	140	25	input	input	NOUN
cana-664	140	26	x.	x.	NOUN
cana-664	140	27	•	•	ADP
cana-664	140	28	to	to	PART
cana-664	140	29	show	show	VERB
cana-664	140	30	the	the	DET
cana-664	140	31	result	result	NOUN
cana-664	140	32	as	as	ADP
cana-664	140	33	a	a	DET
cana-664	140	34	set	set	NOUN
cana-664	140	35	of	of	ADP
cana-664	140	36	main	main	ADJ
cana-664	140	37	capsules	capsule	NOUN
cana-664	140	38	,	,	PUNCT
cana-664	140	39	write	write	VERB
cana-664	140	40	𝑢𝑖	𝑢𝑖	PRON
cana-664	140	41	u	u	NOUN
cana-664	140	42	i	i	PRON
cana-664	140	43	,	,	PUNCT
cana-664	140	44	where	where	SCONJ
cana-664	140	45	𝑖	𝑖	X
cana-664	140	46	i	i	PRON
cana-664	140	47	is	be	AUX
cana-664	140	48	any	any	PRON
cana-664	140	49	of	of	ADP
cana-664	140	50	the	the	DET
cana-664	140	51	capsules	capsule	NOUN
cana-664	140	52	.	.	PUNCT
cana-664	141	1	step	step	NOUN
cana-664	141	2	3	3	NUM
cana-664	141	3	:	:	PUNCT
cana-664	141	4	pose	pose	NOUN
cana-664	141	5	estimation	estimation	NOUN
cana-664	141	6	•	•	ADV
cana-664	141	7	using	use	VERB
cana-664	141	8	more	more	ADJ
cana-664	141	9	neural	neural	ADJ
cana-664	141	10	network	network	NOUN
cana-664	141	11	layers	layer	NOUN
cana-664	141	12	,	,	PUNCT
cana-664	141	13	guess	guess	VERB
cana-664	141	14	each	each	DET
cana-664	141	15	main	main	ADJ
cana-664	141	16	capsule	capsule	NOUN
cana-664	141	17	's	's	PART
cana-664	141	18	pose	pose	NOUN
cana-664	141	19	characteristics	characteristic	NOUN
cana-664	141	20	,	,	PUNCT
cana-664	141	21	such	such	ADJ
cana-664	141	22	as	as	ADP
cana-664	141	23	its	its	PRON
cana-664	141	24	direction	direction	NOUN
cana-664	141	25	,	,	PUNCT
cana-664	141	26	size	size	NOUN
cana-664	141	27	,	,	PUNCT
cana-664	141	28	and	and	CCONJ
cana-664	141	29	location	location	NOUN
cana-664	141	30	.	.	PUNCT
cana-664	142	1	step	step	NOUN
cana-664	142	2	4	4	NUM
cana-664	142	3	:	:	PUNCT
cana-664	142	4	dynamic	dynamic	ADJ
cana-664	142	5	routing	routing	NOUN
cana-664	142	6	•	•	NUM
cana-664	142	7	find	find	VERB
cana-664	142	8	the	the	DET
cana-664	142	9	connection	connection	NOUN
cana-664	142	10	coefficients	coefficient	NOUN
cana-664	142	11	between	between	ADP
cana-664	142	12	capsules	capsule	NOUN
cana-664	142	13	by	by	ADP
cana-664	142	14	using	use	VERB
cana-664	142	15	a	a	DET
cana-664	142	16	route	route	NOUN
cana-664	142	17	system	system	NOUN
cana-664	142	18	that	that	PRON
cana-664	142	19	works	work	VERB
cana-664	142	20	based	base	VERB
cana-664	142	21	on	on	ADP
cana-664	142	22	how	how	SCONJ
cana-664	142	23	well	well	ADV
cana-664	142	24	the	the	DET
cana-664	142	25	shape	shape	NOUN
cana-664	142	26	of	of	ADP
cana-664	142	27	a	a	DET
cana-664	142	28	capsule	capsule	NOUN
cana-664	142	29	matches	match	VERB
cana-664	142	30	up	up	ADP
cana-664	142	31	with	with	ADP
cana-664	142	32	what	what	PRON
cana-664	142	33	higher	high	ADJ
cana-664	142	34	-	-	PUNCT
cana-664	142	35	level	level	NOUN
cana-664	142	36	capsules	capsule	NOUN
cana-664	142	37	say	say	VERB
cana-664	142	38	it	it	PRON
cana-664	142	39	should	should	AUX
cana-664	142	40	be	be	AUX
cana-664	142	41	.	.	PUNCT
cana-664	143	1	𝑐𝑖𝑗	𝑐𝑖𝑗	PROPN
cana-664	143	2	=	=	SYM
cana-664	143	3	𝑒𝑏𝑖𝑗	𝑒𝑏𝑖𝑗	NOUN
cana-664	143	4	∑	∑	PUNCT
cana-664	143	5	𝑒𝑏𝑖𝑘𝑘	𝑒𝑏𝑖𝑘𝑘	VERB
cana-664	143	6	where	where	SCONJ
cana-664	143	7	𝑏𝑖𝑗	𝑏𝑖𝑗	PROPN
cana-664	143	8	b	b	PROPN
cana-664	143	9	ij	ij	NOUN
cana-664	143	10	stands	stand	VERB
cana-664	143	11	for	for	ADP
cana-664	143	12	the	the	DET
cana-664	143	13	logit	logit	NOUN
cana-664	143	14	between	between	ADP
cana-664	143	15	capsule	capsule	PROPN
cana-664	143	16	i	i	PROPN
cana-664	143	17	and	and	CCONJ
cana-664	143	18	capsule	capsule	PROPN
cana-664	143	19	j.	j.	PROPN
cana-664	143	20	figure	figure	VERB
cana-664	143	21	4	4	NUM
cana-664	143	22	:	:	PUNCT
cana-664	143	23	architecture	architecture	NOUN
cana-664	143	24	for	for	ADP
cana-664	143	25	capsule	capsule	NOUN
cana-664	143	26	network	network	NOUN
cana-664	143	27	communications	communication	NOUN
cana-664	143	28	on	on	ADP
cana-664	143	29	applied	apply	VERB
cana-664	143	30	nonlinear	nonlinear	ADJ
cana-664	143	31	analysis	analysis	NOUN
cana-664	143	32	issn	issn	NOUN
cana-664	143	33	:	:	PUNCT
cana-664	143	34	1074	1074	NUM
cana-664	143	35	-	-	PUNCT
cana-664	143	36	133x	133x	NUM
cana-664	143	37	vol	vol	NOUN
cana-664	143	38	31	31	NUM
cana-664	143	39	no	no	NOUN
cana-664	143	40	.	.	PUNCT
cana-664	144	1	2s	2s	NUM
cana-664	144	2	(	(	PUNCT
cana-664	144	3	2024	2024	NUM
cana-664	144	4	)	)	PUNCT
cana-664	144	5	523	523	NUM
cana-664	144	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-664	144	7	step	step	NOUN
cana-664	144	8	5	5	NUM
cana-664	144	9	:	:	PUNCT
cana-664	144	10	capsule	capsule	NOUN
cana-664	144	11	outputs	output	NOUN
cana-664	144	12	•	•	ADV
cana-664	144	13	find	find	VERB
cana-664	144	14	each	each	DET
cana-664	144	15	capsule	capsule	NOUN
cana-664	144	16	's	's	PART
cana-664	144	17	output	output	NOUN
cana-664	144	18	by	by	ADP
cana-664	144	19	multiplying	multiply	VERB
cana-664	144	20	its	its	PRON
cana-664	144	21	pose	pose	NOUN
cana-664	144	22	factors	factor	NOUN
cana-664	144	23	by	by	ADP
cana-664	144	24	the	the	DET
cana-664	144	25	coupling	coupling	NOUN
cana-664	144	26	coefficient	coefficient	NOUN
cana-664	144	27	that	that	PRON
cana-664	144	28	goes	go	VERB
cana-664	144	29	with	with	ADP
cana-664	144	30	them	they	PRON
cana-664	144	31	and	and	CCONJ
cana-664	144	32	adding	add	VERB
cana-664	144	33	up	up	ADP
cana-664	144	34	the	the	DET
cana-664	144	35	results	result	NOUN
cana-664	144	36	for	for	ADP
cana-664	144	37	all	all	PRON
cana-664	144	38	of	of	ADP
cana-664	144	39	the	the	DET
cana-664	144	40	input	input	NOUN
cana-664	144	41	capsules	capsule	NOUN
cana-664	144	42	.	.	PUNCT
cana-664	145	1	•	•	NOUN
cana-664	145	2	mark	mark	VERB
cana-664	145	3	the	the	DET
cana-664	145	4	output	output	NOUN
cana-664	145	5	of	of	ADP
cana-664	145	6	the	the	DET
cana-664	145	7	capsule	capsule	NOUN
cana-664	145	8	𝑉𝑖𝑗	𝑉𝑖𝑗	PROPN
cana-664	145	9	=	=	SYM
cana-664	145	10	∑	∑	PUNCT
cana-664	145	11	𝐶𝑖𝑗	𝐶𝑖𝑗	PROPN
cana-664	145	12	.	.	PUNCT
cana-664	146	1	𝑈𝑖𝑖	𝑈𝑖𝑖	PROPN
cana-664	146	2	||∑	||∑	VERB
cana-664	146	3	𝐶𝑖𝑗	𝐶𝑖𝑗	PROPN
cana-664	146	4	.	.	PUNCT
cana-664	147	1	𝑈𝑖𝑖	𝑈𝑖𝑖	PROPN
cana-664	147	2	||	||	PROPN
cana-664	148	1	d.	d.	PROPN
cana-664	148	2	long	long	ADV
cana-664	148	3	short	short	ADJ
cana-664	148	4	-	-	PUNCT
cana-664	148	5	term	term	NOUN
cana-664	148	6	memory	memory	NOUN
cana-664	148	7	(	(	PUNCT
cana-664	148	8	lstm	lstm	NOUN
cana-664	148	9	)	)	PUNCT
cana-664	148	10	lstm	lstm	NOUN
cana-664	148	11	networks	network	NOUN
cana-664	148	12	are	be	AUX
cana-664	148	13	a	a	DET
cana-664	148	14	type	type	NOUN
cana-664	148	15	of	of	ADP
cana-664	148	16	recurrent	recurrent	ADJ
cana-664	148	17	neural	neural	ADJ
cana-664	148	18	network	network	NOUN
cana-664	148	19	(	(	PUNCT
cana-664	148	20	rnn	rnn	PROPN
cana-664	148	21	)	)	PUNCT
cana-664	148	22	topology	topology	NOUN
cana-664	148	23	that	that	PRON
cana-664	148	24	is	be	AUX
cana-664	148	25	meant	mean	VERB
cana-664	148	26	to	to	PART
cana-664	148	27	solve	solve	VERB
cana-664	148	28	the	the	DET
cana-664	148	29	"	"	PUNCT
cana-664	148	30	vanishing	vanish	VERB
cana-664	148	31	gradient	gradient	NOUN
cana-664	148	32	"	"	PUNCT
cana-664	148	33	problem	problem	NOUN
cana-664	148	34	and	and	CCONJ
cana-664	148	35	find	find	VERB
cana-664	148	36	long	long	ADJ
cana-664	148	37	-	-	PUNCT
cana-664	148	38	term	term	NOUN
cana-664	148	39	relationships	relationship	NOUN
cana-664	148	40	in	in	ADP
cana-664	148	41	linear	linear	PROPN
cana-664	148	42	data	datum	NOUN
cana-664	148	43	.	.	PUNCT
cana-664	149	1	unlike	unlike	ADP
cana-664	149	2	regular	regular	ADJ
cana-664	149	3	rnns	rnn	NOUN
cana-664	149	4	,	,	PUNCT
cana-664	149	5	which	which	PRON
cana-664	149	6	have	have	VERB
cana-664	149	7	trouble	trouble	NOUN
cana-664	149	8	remembering	remember	VERB
cana-664	149	9	long	long	ADJ
cana-664	149	10	runs	run	NOUN
cana-664	149	11	of	of	ADP
cana-664	149	12	data	datum	NOUN
cana-664	149	13	because	because	SCONJ
cana-664	149	14	of	of	ADP
cana-664	149	15	gradient	gradient	ADJ
cana-664	149	16	decay	decay	NOUN
cana-664	149	17	,	,	PUNCT
cana-664	149	18	lstms	lstms	NOUN
cana-664	149	19	have	have	AUX
cana-664	149	20	controlled	control	VERB
cana-664	149	21	units	unit	NOUN
cana-664	149	22	that	that	PRON
cana-664	149	23	control	control	VERB
cana-664	149	24	the	the	DET
cana-664	149	25	flow	flow	NOUN
cana-664	149	26	of	of	ADP
cana-664	149	27	data	datum	NOUN
cana-664	149	28	,	,	PUNCT
cana-664	149	29	which	which	PRON
cana-664	149	30	lets	let	VERB
cana-664	149	31	them	they	PRON
cana-664	149	32	remember	remember	VERB
cana-664	149	33	or	or	CCONJ
cana-664	149	34	forget	forget	VERB
cana-664	149	35	certain	certain	ADJ
cana-664	149	36	data	datum	NOUN
cana-664	149	37	over	over	ADP
cana-664	149	38	time	time	NOUN
cana-664	149	39	.	.	PUNCT
cana-664	150	1	a	a	DET
cana-664	150	2	cell	cell	NOUN
cana-664	150	3	state	state	NOUN
cana-664	150	4	,	,	PUNCT
cana-664	150	5	an	an	DET
cana-664	150	6	input	input	NOUN
cana-664	150	7	gate	gate	NOUN
cana-664	150	8	,	,	PUNCT
cana-664	150	9	a	a	DET
cana-664	150	10	forget	forget	NOUN
cana-664	150	11	gate	gate	NOUN
cana-664	150	12	,	,	PUNCT
cana-664	150	13	and	and	CCONJ
cana-664	150	14	an	an	DET
cana-664	150	15	output	output	NOUN
cana-664	150	16	gate	gate	NOUN
cana-664	150	17	are	be	AUX
cana-664	150	18	the	the	DET
cana-664	150	19	most	most	ADV
cana-664	150	20	important	important	ADJ
cana-664	150	21	parts	part	NOUN
cana-664	150	22	of	of	ADP
cana-664	150	23	an	an	DET
cana-664	150	24	lstm	lstm	ADJ
cana-664	150	25	unit	unit	NOUN
cana-664	150	26	.	.	PUNCT
cana-664	151	1	algorithm	algorithm	NOUN
cana-664	151	2	:	:	PUNCT
cana-664	151	3	step	step	NOUN
cana-664	151	4	1	1	NUM
cana-664	151	5	:	:	PUNCT
cana-664	151	6	input	input	NOUN
cana-664	151	7	representation	representation	NOUN
cana-664	151	8	•	•	ADP
cana-664	151	9	let	let	VERB
cana-664	151	10	xt	xt	PART
cana-664	151	11	denote	denote	VERB
cana-664	151	12	the	the	DET
cana-664	151	13	input	input	NOUN
cana-664	151	14	at	at	ADP
cana-664	151	15	time	time	NOUN
cana-664	151	16	step	step	NOUN
cana-664	151	17	t.	t.	PROPN
cana-664	151	18	•	•	NOUN
cana-664	151	19	xt	xt	NOUN
cana-664	151	20	can	can	AUX
cana-664	151	21	be	be	AUX
cana-664	151	22	a	a	DET
cana-664	151	23	vector	vector	NOUN
cana-664	151	24	representing	represent	VERB
cana-664	151	25	the	the	DET
cana-664	151	26	input	input	NOUN
cana-664	151	27	features	feature	NOUN
cana-664	151	28	at	at	ADP
cana-664	151	29	time	time	NOUN
cana-664	151	30	t.	t.	NOUN
cana-664	151	31	step	step	NOUN
cana-664	151	32	2	2	NUM
cana-664	151	33	:	:	PUNCT
cana-664	151	34	lstm	lstm	NOUN
cana-664	151	35	gates	gate	NOUN
cana-664	151	36	calculation	calculation	NOUN
cana-664	151	37	•	•	NOUN
cana-664	151	38	compute	compute	VERB
cana-664	151	39	the	the	DET
cana-664	151	40	input	input	NOUN
cana-664	151	41	gate	gate	NOUN
cana-664	151	42	it	it	PRON
cana-664	151	43	,	,	PUNCT
cana-664	151	44	forget	forget	VERB
cana-664	151	45	gate	gate	PROPN
cana-664	151	46	ft	ft	PROPN
cana-664	151	47	,	,	PUNCT
cana-664	151	48	and	and	CCONJ
cana-664	151	49	output	output	NOUN
cana-664	151	50	gate	gate	NOUN
cana-664	151	51	ot	ot	VERB
cana-664	151	52	using	use	VERB
cana-664	151	53	sigmoid	sigmoid	NOUN
cana-664	151	54	activation	activation	NOUN
cana-664	151	55	functions	function	NOUN
cana-664	151	56	and	and	CCONJ
cana-664	151	57	the	the	DET
cana-664	151	58	candidate	candidate	NOUN
cana-664	151	59	memory	memory	NOUN
cana-664	151	60	cell	cell	NOUN
cana-664	151	61	content	content	NOUN
cana-664	151	62	c	c	X
cana-664	151	63	~	~	ADP
cana-664	151	64	t	t	NOUN
cana-664	151	65	using	use	VERB
cana-664	151	66	a	a	DET
cana-664	151	67	tanh	tanh	NOUN
cana-664	151	68	activation	activation	NOUN
cana-664	151	69	function	function	NOUN
cana-664	151	70	:	:	PUNCT
cana-664	152	1	𝑖𝑡	𝑖𝑡	NOUN
cana-664	152	2	=	=	PUNCT
cana-664	152	3	𝜎(𝑊𝑖𝑥	𝜎(𝑊𝑖𝑥	NUM
cana-664	152	4	𝑋𝑡	𝑋𝑡	PROPN
cana-664	152	5	+	+	CCONJ
cana-664	152	6	𝑊𝑖ℎ	𝑊𝑖ℎ	PROPN
cana-664	152	7	ℎ𝑡	ℎ𝑡	NOUN
cana-664	152	8	−	−	PROPN
cana-664	152	9	1	1	NUM
cana-664	152	10	+	+	CCONJ
cana-664	152	11	𝑏𝑖	𝑏𝑖	NOUN
cana-664	152	12	)	)	PUNCT
cana-664	152	13	𝑓𝑡	𝑓𝑡	NOUN
cana-664	153	1	=	=	PUNCT
cana-664	153	2	𝜎(𝑊𝑓𝑥	𝜎(𝑊𝑓𝑥	NUM
cana-664	153	3	𝑋𝑡	𝑋𝑡	PROPN
cana-664	153	4	+	+	CCONJ
cana-664	153	5	𝑊𝑓ℎ	𝑊𝑓ℎ	PROPN
cana-664	153	6	ℎ𝑡	ℎ𝑡	NOUN
cana-664	153	7	−	−	PROPN
cana-664	153	8	1	1	NUM
cana-664	153	9	+	+	CCONJ
cana-664	153	10	𝑏𝑓	𝑏𝑓	PRON
cana-664	153	11	)	)	PUNCT
cana-664	153	12	𝑜𝑡	𝑜𝑡	NOUN
cana-664	154	1	=	=	PUNCT
cana-664	154	2	𝜎(𝑊𝑜𝑥	𝜎(𝑊𝑜𝑥	NUM
cana-664	154	3	𝑋𝑡	𝑋𝑡	PROPN
cana-664	154	4	+	+	CCONJ
cana-664	154	5	𝑊𝑜ℎ	𝑊𝑜ℎ	PROPN
cana-664	154	6	ℎ𝑡	ℎ𝑡	VERB
cana-664	154	7	−	−	PROPN
cana-664	154	8	1	1	NUM
cana-664	154	9	+	+	CCONJ
cana-664	154	10	𝑏𝑜	𝑏𝑜	ADJ
cana-664	154	11	)	)	PUNCT
cana-664	154	12	𝐶~𝑡	𝐶~𝑡	NOUN
cana-664	154	13	=	=	PUNCT
cana-664	154	14	𝑡𝑎𝑛ℎ(𝑊𝑐𝑥	𝑡𝑎𝑛ℎ(𝑊𝑐𝑥	VERB
cana-664	155	1	𝑋𝑡	𝑋𝑡	PROPN
cana-664	155	2	+	+	CCONJ
cana-664	155	3	𝑊𝑐ℎ	𝑊𝑐ℎ	PROPN
cana-664	155	4	ℎ𝑡	ℎ𝑡	NOUN
cana-664	155	5	−	−	PROPN
cana-664	155	6	1	1	NUM
cana-664	155	7	+	+	NUM
cana-664	155	8	𝑏𝑐	𝑏𝑐	PROPN
cana-664	155	9	)	)	PUNCT
cana-664	155	10	figure	figure	NOUN
cana-664	155	11	5	5	NUM
cana-664	155	12	:	:	PUNCT
cana-664	155	13	workflow	workflow	NOUN
cana-664	155	14	for	for	ADP
cana-664	155	15	lstn	lstn	ADJ
cana-664	155	16	model	model	NOUN
cana-664	155	17	communications	communication	NOUN
cana-664	155	18	on	on	ADP
cana-664	155	19	applied	apply	VERB
cana-664	155	20	nonlinear	nonlinear	ADJ
cana-664	155	21	analysis	analysis	NOUN
cana-664	155	22	issn	issn	NOUN
cana-664	155	23	:	:	PUNCT
cana-664	155	24	1074	1074	NUM
cana-664	155	25	-	-	PUNCT
cana-664	155	26	133x	133x	NUM
cana-664	155	27	vol	vol	NOUN
cana-664	155	28	31	31	NUM
cana-664	155	29	no	no	NOUN
cana-664	155	30	.	.	PUNCT
cana-664	156	1	2s	2s	NUM
cana-664	156	2	(	(	PUNCT
cana-664	156	3	2024	2024	NUM
cana-664	156	4	)	)	PUNCT
cana-664	156	5	524	524	NUM
cana-664	156	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-664	156	7	step	step	NOUN
cana-664	156	8	3	3	NUM
cana-664	156	9	:	:	PUNCT
cana-664	156	10	memory	memory	NOUN
cana-664	156	11	cell	cell	NOUN
cana-664	156	12	update	update	NOUN
cana-664	156	13	•	•	NOUN
cana-664	156	14	update	update	VERB
cana-664	156	15	the	the	DET
cana-664	156	16	memory	memory	NOUN
cana-664	156	17	cell	cell	NOUN
cana-664	156	18	ct	ct	NOUN
cana-664	156	19	using	use	VERB
cana-664	156	20	the	the	DET
cana-664	156	21	input	input	NOUN
cana-664	156	22	gate	gate	NOUN
cana-664	156	23	,	,	PUNCT
cana-664	156	24	forget	forget	VERB
cana-664	156	25	gate	gate	NOUN
cana-664	156	26	,	,	PUNCT
cana-664	156	27	and	and	CCONJ
cana-664	156	28	candidate	candidate	NOUN
cana-664	156	29	memory	memory	NOUN
cana-664	156	30	cell	cell	NOUN
cana-664	156	31	content	content	NOUN
cana-664	156	32	:	:	PUNCT
cana-664	157	1	𝐶𝑡	𝐶𝑡	PROPN
cana-664	157	2	=	=	PROPN
cana-664	157	3	𝑓𝑡	𝑓𝑡	PROPN
cana-664	157	4	⊙	⊙	PROPN
cana-664	157	5	𝐶𝑡	𝐶𝑡	PROPN
cana-664	157	6	−	−	PROPN
cana-664	158	1	1	1	NUM
cana-664	159	1	+	+	CCONJ
cana-664	159	2	𝑖𝑡	𝑖𝑡	PROPN
cana-664	159	3	⊙	⊙	PROPN
cana-664	159	4	𝐶~𝑡	𝐶~𝑡	PROPN
cana-664	159	5	•	•	NUM
cana-664	159	6	where	where	SCONJ
cana-664	159	7	⊙	⊙	PROPN
cana-664	159	8	denotes	denote	VERB
cana-664	159	9	element	element	ADJ
cana-664	159	10	-	-	PUNCT
cana-664	159	11	wise	wise	ADJ
cana-664	159	12	multiplication	multiplication	NOUN
cana-664	159	13	.	.	PUNCT
cana-664	160	1	step	step	NOUN
cana-664	160	2	4	4	NUM
cana-664	160	3	:	:	PUNCT
cana-664	160	4	hidden	hide	VERB
cana-664	160	5	state	state	NOUN
cana-664	160	6	calculation	calculation	NOUN
cana-664	160	7	•	•	NOUN
cana-664	160	8	compute	compute	VERB
cana-664	160	9	the	the	DET
cana-664	160	10	hidden	hide	VERB
cana-664	160	11	state	state	NOUN
cana-664	160	12	ht	ht	PROPN
cana-664	160	13	using	use	VERB
cana-664	160	14	the	the	DET
cana-664	160	15	output	output	NOUN
cana-664	160	16	gate	gate	NOUN
cana-664	160	17	and	and	CCONJ
cana-664	160	18	the	the	DET
cana-664	160	19	updated	update	VERB
cana-664	160	20	memory	memory	NOUN
cana-664	160	21	cell	cell	NOUN
cana-664	160	22	:	:	PUNCT
cana-664	160	23	ℎ𝑡	ℎ𝑡	NOUN
cana-664	160	24	=	=	PUNCT
cana-664	160	25	𝑜𝑡	𝑜𝑡	PROPN
cana-664	160	26	⊙	⊙	PROPN
cana-664	160	27	𝑡𝑎𝑛ℎ(𝐶𝑡	𝑡𝑎𝑛ℎ(𝐶𝑡	PROPN
cana-664	160	28	)	)	PUNCT
cana-664	160	29	step	step	NOUN
cana-664	160	30	5	5	NUM
cana-664	160	31	:	:	PUNCT
cana-664	160	32	output	output	NOUN
cana-664	160	33	calculation	calculation	NOUN
cana-664	160	34	•	•	INTJ
cana-664	160	35	if	if	SCONJ
cana-664	160	36	lstm	lstm	ADJ
cana-664	160	37	is	be	AUX
cana-664	160	38	used	use	VERB
cana-664	160	39	for	for	ADP
cana-664	160	40	sequence	sequence	NOUN
cana-664	160	41	prediction	prediction	NOUN
cana-664	160	42	,	,	PUNCT
cana-664	160	43	the	the	DET
cana-664	160	44	output	output	NOUN
cana-664	160	45	yt	yt	NOUN
cana-664	160	46	can	can	AUX
cana-664	160	47	be	be	AUX
cana-664	160	48	calculated	calculate	VERB
cana-664	160	49	using	use	VERB
cana-664	160	50	the	the	DET
cana-664	160	51	hidden	hidden	ADJ
cana-664	160	52	state	state	NOUN
cana-664	160	53	ht	ht	NOUN
cana-664	160	54	:	:	PUNCT
cana-664	160	55	𝑌𝑡	𝑌𝑡	PROPN
cana-664	160	56	=	=	PUNCT
cana-664	160	57	𝑔(𝑊ℎ𝑦	𝑔(𝑊ℎ𝑦	NUM
cana-664	160	58	ℎ𝑡	ℎ𝑡	NOUN
cana-664	160	59	+	+	CCONJ
cana-664	160	60	𝑏𝑦	𝑏𝑦	NOUN
cana-664	160	61	)	)	PUNCT
cana-664	160	62	e.	e.	PROPN
cana-664	160	63	generative	generative	PROPN
cana-664	160	64	adversarial	adversarial	ADJ
cana-664	160	65	networks	network	NOUN
cana-664	160	66	(	(	PUNCT
cana-664	160	67	gans	gan	NOUN
cana-664	160	68	)	)	PUNCT
cana-664	160	69	generative	generative	ADJ
cana-664	160	70	adversarial	adversarial	ADJ
cana-664	160	71	networks	network	NOUN
cana-664	160	72	(	(	PUNCT
cana-664	160	73	gans	gan	NOUN
cana-664	160	74	)	)	PUNCT
cana-664	160	75	are	be	AUX
cana-664	160	76	a	a	DET
cana-664	160	77	type	type	NOUN
cana-664	160	78	of	of	ADP
cana-664	160	79	deep	deep	ADJ
cana-664	160	80	learning	learning	NOUN
cana-664	160	81	design	design	NOUN
cana-664	160	82	made	make	VERB
cana-664	160	83	up	up	ADP
cana-664	160	84	of	of	ADP
cana-664	160	85	two	two	NUM
cana-664	160	86	neural	neural	ADJ
cana-664	160	87	networks	network	NOUN
cana-664	160	88	,	,	PUNCT
cana-664	160	89	shown	show	VERB
cana-664	160	90	in	in	ADP
cana-664	160	91	figure	figure	NOUN
cana-664	160	92	6	6	NUM
cana-664	160	93	,	,	PUNCT
cana-664	160	94	the	the	DET
cana-664	160	95	discriminator	discriminator	NOUN
cana-664	160	96	and	and	CCONJ
cana-664	160	97	the	the	DET
cana-664	160	98	generator	generator	NOUN
cana-664	160	99	,	,	PUNCT
cana-664	160	100	that	that	PRON
cana-664	160	101	are	be	AUX
cana-664	160	102	playing	play	VERB
cana-664	160	103	a	a	DET
cana-664	160	104	minimax	minimax	NOUN
cana-664	160	105	game	game	NOUN
cana-664	160	106	against	against	ADP
cana-664	160	107	each	each	DET
cana-664	160	108	other	other	ADJ
cana-664	160	109	.	.	PUNCT
cana-664	161	1	the	the	DET
cana-664	161	2	discriminator	discriminator	NOUN
cana-664	161	3	checks	check	VERB
cana-664	161	4	the	the	DET
cana-664	161	5	legitimacy	legitimacy	NOUN
cana-664	161	6	of	of	ADP
cana-664	161	7	the	the	DET
cana-664	161	8	samples	sample	NOUN
cana-664	161	9	by	by	ADP
cana-664	161	10	telling	tell	VERB
cana-664	161	11	the	the	DET
cana-664	161	12	difference	difference	NOUN
cana-664	161	13	between	between	ADP
cana-664	161	14	real	real	ADJ
cana-664	161	15	and	and	CCONJ
cana-664	161	16	fake	fake	ADJ
cana-664	161	17	data	datum	NOUN
cana-664	161	18	.	.	PUNCT
cana-664	162	1	the	the	DET
cana-664	162	2	creator	creator	NOUN
cana-664	162	3	creates	create	VERB
cana-664	162	4	samples	sample	NOUN
cana-664	162	5	of	of	ADP
cana-664	162	6	fake	fake	ADJ
cana-664	162	7	data	datum	NOUN
cana-664	162	8	.	.	PUNCT
cana-664	163	1	through	through	ADP
cana-664	163	2	antagonistic	antagonistic	ADJ
cana-664	163	3	training	training	NOUN
cana-664	163	4	,	,	PUNCT
cana-664	163	5	both	both	CCONJ
cana-664	163	6	the	the	DET
cana-664	163	7	generator	generator	NOUN
cana-664	163	8	and	and	CCONJ
cana-664	163	9	the	the	DET
cana-664	163	10	discriminator	discriminator	NOUN
cana-664	163	11	get	get	VERB
cana-664	163	12	better	well	ADJ
cana-664	163	13	at	at	ADP
cana-664	163	14	telling	tell	VERB
cana-664	163	15	the	the	DET
cana-664	163	16	difference	difference	NOUN
cana-664	163	17	between	between	ADP
cana-664	163	18	real	real	ADJ
cana-664	163	19	and	and	CCONJ
cana-664	163	20	fake	fake	ADJ
cana-664	163	21	samples	sample	NOUN
cana-664	163	22	.	.	PUNCT
cana-664	164	1	the	the	DET
cana-664	164	2	generator	generator	NOUN
cana-664	164	3	learns	learn	VERB
cana-664	164	4	to	to	PART
cana-664	164	5	make	make	VERB
cana-664	164	6	samples	sample	NOUN
cana-664	164	7	that	that	PRON
cana-664	164	8	are	be	AUX
cana-664	164	9	more	more	ADV
cana-664	164	10	and	and	CCONJ
cana-664	164	11	more	more	ADV
cana-664	164	12	like	like	ADP
cana-664	164	13	real	real	ADJ
cana-664	164	14	data	datum	NOUN
cana-664	164	15	,	,	PUNCT
cana-664	164	16	until	until	SCONJ
cana-664	164	17	they	they	PRON
cana-664	164	18	ca	can	AUX
cana-664	164	19	n't	not	PART
cana-664	164	20	be	be	AUX
cana-664	164	21	told	tell	VERB
cana-664	164	22	apart	apart	ADV
cana-664	164	23	.	.	PUNCT
cana-664	165	1	when	when	SCONJ
cana-664	165	2	it	it	PRON
cana-664	165	3	comes	come	VERB
cana-664	165	4	to	to	ADP
cana-664	165	5	healthcare	healthcare	PROPN
cana-664	165	6	image	image	NOUN
cana-664	165	7	authentication	authentication	NOUN
cana-664	165	8	,	,	PUNCT
cana-664	165	9	gans	gan	NOUN
cana-664	165	10	can	can	AUX
cana-664	165	11	be	be	AUX
cana-664	165	12	used	use	VERB
cana-664	165	13	to	to	PART
cana-664	165	14	make	make	VERB
cana-664	165	15	fake	fake	ADJ
cana-664	165	16	medical	medical	ADJ
cana-664	165	17	images	image	NOUN
cana-664	165	18	with	with	ADP
cana-664	165	19	known	know	VERB
cana-664	165	20	ground	ground	NOUN
cana-664	165	21	truth	truth	NOUN
cana-664	165	22	comments	comment	NOUN
cana-664	165	23	.	.	PUNCT
cana-664	166	1	algorithm	algorithm	NOUN
cana-664	166	2	:	:	PUNCT
cana-664	166	3	step	step	NOUN
cana-664	166	4	1	1	NUM
cana-664	166	5	:	:	PUNCT
cana-664	166	6	generator	generator	NOUN
cana-664	166	7	input	input	NOUN
cana-664	166	8	representation	representation	NOUN
cana-664	166	9	•	•	ADP
cana-664	166	10	let	let	VERB
cana-664	166	11	z	z	PRON
cana-664	166	12	be	be	AUX
cana-664	166	13	a	a	DET
cana-664	166	14	random	random	ADJ
cana-664	166	15	noise	noise	NOUN
cana-664	166	16	vector	vector	NOUN
cana-664	166	17	sampled	sample	VERB
cana-664	166	18	from	from	ADP
cana-664	166	19	a	a	DET
cana-664	166	20	prior	prior	ADJ
cana-664	166	21	distribution	distribution	NOUN
cana-664	166	22	(	(	PUNCT
cana-664	166	23	e.g.	e.g.	ADV
cana-664	166	24	,	,	PUNCT
cana-664	166	25	gaussian	gaussian	ADJ
cana-664	166	26	distribution	distribution	NOUN
cana-664	166	27	)	)	PUNCT
cana-664	166	28	.	.	PUNCT
cana-664	167	1	step	step	NOUN
cana-664	167	2	2	2	NUM
cana-664	167	3	:	:	PUNCT
cana-664	167	4	generator	generator	NOUN
cana-664	167	5	output	output	NOUN
cana-664	167	6	generation	generation	NOUN
cana-664	167	7	•	•	NOUN
cana-664	167	8	generate	generate	VERB
cana-664	167	9	a	a	DET
cana-664	167	10	fake	fake	ADJ
cana-664	167	11	data	datum	NOUN
cana-664	167	12	sample	sample	NOUN
cana-664	167	13	g(z	g(z	PROPN
cana-664	167	14	)	)	PUNCT
cana-664	167	15	by	by	ADP
cana-664	167	16	passing	pass	VERB
cana-664	167	17	the	the	DET
cana-664	167	18	noise	noise	NOUN
cana-664	167	19	vector	vector	NOUN
cana-664	167	20	z	z	NOUN
cana-664	167	21	through	through	ADP
cana-664	167	22	the	the	DET
cana-664	167	23	generator	generator	NOUN
cana-664	167	24	network	network	NOUN
cana-664	167	25	g.	g.	PROPN
cana-664	167	26	step	step	NOUN
cana-664	167	27	3	3	NUM
cana-664	167	28	:	:	PUNCT
cana-664	167	29	discriminator	discriminator	NOUN
cana-664	167	30	input	input	NOUN
cana-664	167	31	representation	representation	NOUN
cana-664	167	32	•	•	ADV
cana-664	167	33	let	let	VERB
cana-664	167	34	x	x	PRON
cana-664	167	35	be	be	AUX
cana-664	167	36	a	a	DET
cana-664	167	37	real	real	ADJ
cana-664	167	38	data	data	NOUN
cana-664	167	39	sample	sample	NOUN
cana-664	167	40	from	from	ADP
cana-664	167	41	the	the	DET
cana-664	167	42	training	training	NOUN
cana-664	167	43	dataset	dataset	NOUN
cana-664	167	44	,	,	PUNCT
cana-664	167	45	and	and	CCONJ
cana-664	167	46	let	let	VERB
cana-664	167	47	g(z	g(z	PROPN
cana-664	167	48	)	)	PUNCT
cana-664	167	49	be	be	AUX
cana-664	167	50	the	the	DET
cana-664	167	51	fake	fake	ADJ
cana-664	167	52	data	datum	NOUN
cana-664	167	53	sample	sample	NOUN
cana-664	167	54	generated	generate	VERB
cana-664	167	55	by	by	ADP
cana-664	167	56	the	the	DET
cana-664	167	57	generator	generator	PROPN
cana-664	167	58	.	.	PUNCT
cana-664	168	1	figure	figure	VERB
cana-664	168	2	6	6	NUM
cana-664	168	3	:	:	PUNCT
cana-664	168	4	representation	representation	NOUN
cana-664	168	5	of	of	ADP
cana-664	168	6	gan	gan	ADJ
cana-664	168	7	architecture	architecture	NOUN
cana-664	168	8	communications	communication	NOUN
cana-664	168	9	on	on	ADP
cana-664	168	10	applied	apply	VERB
cana-664	168	11	nonlinear	nonlinear	ADJ
cana-664	168	12	analysis	analysis	NOUN
cana-664	168	13	issn	issn	NOUN
cana-664	168	14	:	:	PUNCT
cana-664	168	15	1074	1074	NUM
cana-664	168	16	-	-	PUNCT
cana-664	168	17	133x	133x	NUM
cana-664	168	18	vol	vol	NOUN
cana-664	168	19	31	31	NUM
cana-664	168	20	no	no	NOUN
cana-664	168	21	.	.	PUNCT
cana-664	169	1	2s	2s	NUM
cana-664	169	2	(	(	PUNCT
cana-664	169	3	2024	2024	NUM
cana-664	169	4	)	)	PUNCT
cana-664	169	5	525	525	NUM
cana-664	169	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-664	169	7	step	step	NOUN
cana-664	169	8	4	4	NUM
cana-664	169	9	:	:	PUNCT
cana-664	169	10	discriminator	discriminator	NOUN
cana-664	169	11	output	output	NOUN
cana-664	169	12	calculation	calculation	NOUN
cana-664	169	13	•	•	NOUN
cana-664	169	14	compute	compute	VERB
cana-664	169	15	the	the	DET
cana-664	169	16	probability	probability	NOUN
cana-664	169	17	d(x	d(x	PROPN
cana-664	169	18	)	)	PUNCT
cana-664	169	19	that	that	SCONJ
cana-664	169	20	the	the	DET
cana-664	169	21	input	input	NOUN
cana-664	169	22	x	x	PUNCT
cana-664	169	23	comes	come	VERB
cana-664	169	24	from	from	ADP
cana-664	169	25	the	the	DET
cana-664	169	26	real	real	ADJ
cana-664	169	27	data	datum	NOUN
cana-664	169	28	distribution	distribution	NOUN
cana-664	169	29	and	and	CCONJ
cana-664	169	30	the	the	DET
cana-664	169	31	probability	probability	NOUN
cana-664	169	32	d(g(z	d(g(z	NOUN
cana-664	169	33	)	)	PUNCT
cana-664	169	34	)	)	PUNCT
cana-664	169	35	that	that	SCONJ
cana-664	169	36	the	the	DET
cana-664	169	37	input	input	NOUN
cana-664	169	38	g(z	g(z	PROPN
cana-664	169	39	)	)	PUNCT
cana-664	169	40	comes	come	VERB
cana-664	169	41	from	from	ADP
cana-664	169	42	the	the	DET
cana-664	169	43	generator	generator	NOUN
cana-664	169	44	distribution	distribution	NOUN
cana-664	169	45	using	use	VERB
cana-664	169	46	the	the	DET
cana-664	169	47	discriminator	discriminator	NOUN
cana-664	169	48	network	network	NOUN
cana-664	169	49	d.	d.	PROPN
cana-664	169	50	step	step	VERB
cana-664	169	51	5	5	NUM
cana-664	169	52	:	:	PUNCT
cana-664	169	53	adversarial	adversarial	ADJ
cana-664	169	54	loss	loss	NOUN
cana-664	169	55	computation	computation	NOUN
cana-664	169	56	•	•	NOUN
cana-664	169	57	train	train	VERB
cana-664	169	58	the	the	DET
cana-664	169	59	generator	generator	NOUN
cana-664	169	60	and	and	CCONJ
cana-664	169	61	discriminator	discriminator	NOUN
cana-664	169	62	networks	network	NOUN
cana-664	169	63	by	by	ADP
cana-664	169	64	optimizing	optimize	VERB
cana-664	169	65	the	the	DET
cana-664	169	66	following	follow	VERB
cana-664	169	67	minimax	minimax	NOUN
cana-664	169	68	objective	objective	ADJ
cana-664	169	69	function	function	NOUN
cana-664	169	70	:	:	PUNCT
cana-664	169	71	min	min	PROPN
cana-664	169	72	𝐺	𝐺	PROPN
cana-664	169	73	max	max	PROPN
cana-664	169	74	𝐷	𝐷	PROPN
cana-664	169	75	𝑉(𝐷	𝑉(𝐷	NOUN
cana-664	169	76	,	,	PUNCT
cana-664	169	77	𝐺	𝐺	NOUN
cana-664	169	78	)	)	PUNCT
cana-664	169	79	=	=	SYM
cana-664	169	80	𝐸[log(𝐷(𝑥	𝐸[log(𝐷(𝑥	NOUN
cana-664	169	81	)	)	PUNCT
cana-664	169	82	)	)	PUNCT
cana-664	169	83	]	]	PUNCT
cana-664	170	1	+	+	CCONJ
cana-664	170	2	𝐸	𝐸	PROPN
cana-664	170	3	[	[	X
cana-664	170	4	log	log	NOUN
cana-664	170	5	(	(	PUNCT
cana-664	170	6	1	1	NUM
cana-664	170	7	−	−	PROPN
cana-664	170	8	𝐷(𝐺(𝑧	𝐷(𝐺(𝑧	NOUN
cana-664	170	9	)	)	PUNCT
cana-664	170	10	)	)	PUNCT
cana-664	170	11	)	)	PUNCT
cana-664	170	12	]	]	PUNCT
cana-664	171	1	4	4	X
cana-664	171	2	.	.	X
cana-664	171	3	experimental	experimental	ADJ
cana-664	171	4	results	result	NOUN
cana-664	171	5	and	and	CCONJ
cana-664	171	6	discussion	discussion	NOUN
cana-664	171	7	a.	a.	NOUN
cana-664	171	8	description	description	NOUN
cana-664	171	9	of	of	ADP
cana-664	171	10	healthcare	healthcare	NOUN
cana-664	171	11	dataset	dataset	VERB
cana-664	171	12	the	the	DET
cana-664	171	13	healthcare	healthcare	NOUN
cana-664	171	14	dataset	dataset	VERB
cana-664	171	15	on	on	ADP
cana-664	171	16	kaggle	kaggle	PROPN
cana-664	171	17	,	,	PUNCT
cana-664	171	18	which	which	PRON
cana-664	171	19	was	be	AUX
cana-664	171	20	uploaded	upload	VERB
cana-664	171	21	by	by	ADP
cana-664	171	22	user	user	NOUN
cana-664	171	23	prasad22	prasad22	NOUN
cana-664	171	24	,	,	PUNCT
cana-664	171	25	is	be	AUX
cana-664	171	26	a	a	DET
cana-664	171	27	complete	complete	ADJ
cana-664	171	28	set	set	NOUN
cana-664	171	29	of	of	ADP
cana-664	171	30	healthcare	healthcare	NOUN
cana-664	171	31	-	-	PUNCT
cana-664	171	32	related	relate	VERB
cana-664	171	33	data	datum	NOUN
cana-664	171	34	that	that	PRON
cana-664	171	35	is	be	AUX
cana-664	171	36	meant	mean	VERB
cana-664	171	37	to	to	PART
cana-664	171	38	make	make	VERB
cana-664	171	39	study	study	NOUN
cana-664	171	40	and	and	CCONJ
cana-664	171	41	analysis	analysis	NOUN
cana-664	171	42	easier	easy	ADJ
cana-664	171	43	in	in	ADP
cana-664	171	44	this	this	DET
cana-664	171	45	field	field	NOUN
cana-664	171	46	.	.	PUNCT
cana-664	172	1	this	this	DET
cana-664	172	2	dataset	dataset	NOUN
cana-664	172	3	covers	cover	VERB
cana-664	172	4	many	many	ADJ
cana-664	172	5	areas	area	NOUN
cana-664	172	6	of	of	ADP
cana-664	172	7	healthcare	healthcare	PROPN
cana-664	172	8	,	,	PUNCT
cana-664	172	9	such	such	ADJ
cana-664	172	10	as	as	ADP
cana-664	172	11	patient	patient	ADJ
cana-664	172	12	profiles	profile	NOUN
cana-664	172	13	,	,	PUNCT
cana-664	172	14	medical	medical	ADJ
cana-664	172	15	conditions	condition	NOUN
cana-664	172	16	,	,	PUNCT
cana-664	172	17	treatments	treatment	NOUN
cana-664	172	18	,	,	PUNCT
cana-664	172	19	and	and	CCONJ
cana-664	172	20	results	result	NOUN
cana-664	172	21	.	.	PUNCT
cana-664	173	1	it	it	PRON
cana-664	173	2	is	be	AUX
cana-664	173	3	useful	useful	ADJ
cana-664	173	4	for	for	ADP
cana-664	173	5	academics	academic	NOUN
cana-664	173	6	,	,	PUNCT
cana-664	173	7	clinicians	clinician	NOUN
cana-664	173	8	,	,	PUNCT
cana-664	173	9	and	and	CCONJ
cana-664	173	10	lawmakers	lawmaker	NOUN
cana-664	173	11	alike	alike	ADV
cana-664	173	12	.	.	PUNCT
cana-664	174	1	it	it	PRON
cana-664	174	2	has	have	VERB
cana-664	174	3	data	datum	NOUN
cana-664	174	4	about	about	ADP
cana-664	174	5	the	the	DET
cana-664	174	6	patient	patient	NOUN
cana-664	174	7	's	's	PART
cana-664	174	8	age	age	NOUN
cana-664	174	9	,	,	PUNCT
cana-664	174	10	gender	gender	NOUN
cana-664	174	11	,	,	PUNCT
cana-664	174	12	race	race	NOUN
cana-664	174	13	,	,	PUNCT
cana-664	174	14	medical	medical	ADJ
cana-664	174	15	background	background	NOUN
cana-664	174	16	,	,	PUNCT
cana-664	174	17	illness	illness	NOUN
cana-664	174	18	codes	code	NOUN
cana-664	174	19	,	,	PUNCT
cana-664	174	20	operations	operation	NOUN
cana-664	174	21	done	do	VERB
cana-664	174	22	,	,	PUNCT
cana-664	174	23	medicines	medicine	NOUN
cana-664	174	24	given	give	VERB
cana-664	174	25	,	,	PUNCT
cana-664	174	26	and	and	CCONJ
cana-664	174	27	stay	stay	VERB
cana-664	174	28	in	in	ADP
cana-664	174	29	the	the	DET
cana-664	174	30	hospital	hospital	NOUN
cana-664	174	31	.	.	PUNCT
cana-664	175	1	the	the	DET
cana-664	175	2	collection	collection	NOUN
cana-664	175	3	also	also	ADV
cana-664	175	4	has	have	VERB
cana-664	175	5	a	a	DET
cana-664	175	6	lot	lot	NOUN
cana-664	175	7	of	of	ADP
cana-664	175	8	records	record	NOUN
cana-664	175	9	,	,	PUNCT
cana-664	175	10	which	which	PRON
cana-664	175	11	means	mean	VERB
cana-664	175	12	there	there	PRON
cana-664	175	13	are	be	VERB
cana-664	175	14	lots	lot	NOUN
cana-664	175	15	of	of	ADP
cana-664	175	16	chances	chance	NOUN
cana-664	175	17	to	to	PART
cana-664	175	18	do	do	AUX
cana-664	175	19	strong	strong	ADJ
cana-664	175	20	statistical	statistical	ADJ
cana-664	175	21	studies	study	NOUN
cana-664	175	22	and	and	CCONJ
cana-664	175	23	machine	machine	NOUN
cana-664	175	24	learning	learning	NOUN
cana-664	175	25	tests	test	NOUN
cana-664	175	26	.	.	PUNCT
cana-664	176	1	researchers	researcher	NOUN
cana-664	176	2	can	can	AUX
cana-664	176	3	get	get	VERB
cana-664	176	4	useful	useful	ADJ
cana-664	176	5	information	information	NOUN
cana-664	176	6	from	from	ADP
cana-664	176	7	the	the	DET
cana-664	176	8	more	more	ADJ
cana-664	176	9	than	than	ADP
cana-664	176	10	130,000	130,000	NUM
cana-664	176	11	records	record	NOUN
cana-664	176	12	and	and	CCONJ
cana-664	176	13	use	use	VERB
cana-664	176	14	it	it	PRON
cana-664	176	15	to	to	PART
cana-664	176	16	make	make	VERB
cana-664	176	17	prediction	prediction	NOUN
cana-664	176	18	models	model	NOUN
cana-664	176	19	that	that	PRON
cana-664	176	20	can	can	AUX
cana-664	176	21	help	help	VERB
cana-664	176	22	with	with	ADP
cana-664	176	23	professional	professional	ADJ
cana-664	176	24	decision	decision	NOUN
cana-664	176	25	-	-	PUNCT
cana-664	176	26	making	making	NOUN
cana-664	176	27	,	,	PUNCT
cana-664	176	28	healthcare	healthcare	NOUN
cana-664	176	29	management	management	NOUN
cana-664	176	30	,	,	PUNCT
cana-664	176	31	and	and	CCONJ
cana-664	176	32	public	public	ADJ
cana-664	176	33	health	health	NOUN
cana-664	176	34	projects	project	NOUN
cana-664	176	35	.	.	PUNCT
cana-664	177	1	but	but	CCONJ
cana-664	177	2	it	it	PRON
cana-664	177	3	is	be	AUX
cana-664	177	4	important	important	ADJ
cana-664	177	5	to	to	PART
cana-664	177	6	be	be	AUX
cana-664	177	7	careful	careful	ADJ
cana-664	177	8	and	and	CCONJ
cana-664	177	9	thorough	thorough	ADJ
cana-664	177	10	when	when	SCONJ
cana-664	177	11	working	work	VERB
cana-664	177	12	with	with	ADP
cana-664	177	13	the	the	DET
cana-664	177	14	healthcare	healthcare	NOUN
cana-664	177	15	dataset	dataset	NOUN
cana-664	177	16	,	,	PUNCT
cana-664	177	17	just	just	ADV
cana-664	177	18	like	like	ADP
cana-664	177	19	with	with	ADP
cana-664	177	20	any	any	DET
cana-664	177	21	other	other	ADJ
cana-664	177	22	dataset	dataset	NOUN
cana-664	177	23	.	.	PUNCT
cana-664	178	1	b.	b.	PROPN
cana-664	178	2	performance	performance	NOUN
cana-664	178	3	evaluation	evaluation	NOUN
cana-664	178	4	of	of	ADP
cana-664	178	5	individual	individual	ADJ
cana-664	178	6	architectures	architecture	NOUN
cana-664	178	7	table	table	VERB
cana-664	178	8	2	2	NUM
cana-664	178	9	:	:	PUNCT
cana-664	178	10	performance	performance	NOUN
cana-664	178	11	evaluation	evaluation	NOUN
cana-664	178	12	for	for	ADP
cana-664	178	13	different	different	ADJ
cana-664	178	14	dl	dl	PROPN
cana-664	178	15	models	model	NOUN
cana-664	178	16	model	model	PROPN
cana-664	178	17	accuracy	accuracy	NOUN
cana-664	178	18	precision	precision	NOUN
cana-664	178	19	recall	recall	VERB
cana-664	178	20	f1	f1	NOUN
cana-664	178	21	-	-	PUNCT
cana-664	178	22	score	score	NOUN
cana-664	178	23	auc	auc	NOUN
cana-664	178	24	cnn	cnn	PROPN
cana-664	178	25	0.93	0.93	NUM
cana-664	178	26	0.95	0.95	NUM
cana-664	178	27	0.90	0.90	NUM
cana-664	178	28	0.92	0.92	NUM
cana-664	178	29	0.98	0.98	NUM
cana-664	178	30	resnet	resnet	VERB
cana-664	178	31	0.96	0.96	NUM
cana-664	178	32	0.97	0.97	NUM
cana-664	178	33	0.94	0.94	NUM
cana-664	178	34	0.95	0.95	NUM
cana-664	178	35	0.98	0.98	NUM
cana-664	178	36	capsule	capsule	NOUN
cana-664	178	37	network	network	NOUN
cana-664	178	38	0.99	0.99	NUM
cana-664	178	39	0.98	0.98	NUM
cana-664	178	40	0.97	0.97	NUM
cana-664	178	41	0.98	0.98	NUM
cana-664	178	42	0.97	0.97	NUM
cana-664	178	43	lstm	lstm	NOUN
cana-664	178	44	0.94	0.94	NUM
cana-664	178	45	0.96	0.96	NUM
cana-664	178	46	0.92	0.92	NUM
cana-664	178	47	0.94	0.94	NUM
cana-664	178	48	0.99	0.99	NUM
cana-664	178	49	gan	gan	NOUN
cana-664	178	50	0.98	0.98	NUM
cana-664	178	51	0.99	0.99	NUM
cana-664	178	52	0.96	0.96	NUM
cana-664	178	53	0.97	0.97	NUM
cana-664	178	54	0.99	0.99	NUM
cana-664	178	55	in	in	ADP
cana-664	178	56	table	table	NOUN
cana-664	178	57	2	2	NUM
cana-664	178	58	,	,	PUNCT
cana-664	178	59	you	you	PRON
cana-664	178	60	can	can	AUX
cana-664	178	61	see	see	VERB
cana-664	178	62	how	how	SCONJ
cana-664	178	63	well	well	ADV
cana-664	178	64	the	the	DET
cana-664	178	65	cnn	cnn	PROPN
cana-664	178	66	,	,	PUNCT
cana-664	178	67	resnet	resnet	NOUN
cana-664	178	68	,	,	PUNCT
cana-664	178	69	capsule	capsule	NOUN
cana-664	178	70	network	network	NOUN
cana-664	178	71	,	,	PUNCT
cana-664	178	72	lstm	lstm	NOUN
cana-664	178	73	,	,	PUNCT
cana-664	178	74	and	and	CCONJ
cana-664	178	75	gan	gin	VERB
cana-664	178	76	deep	deep	ADJ
cana-664	178	77	learning	learning	NOUN
cana-664	178	78	(	(	PUNCT
cana-664	178	79	dl	dl	NOUN
cana-664	178	80	)	)	PUNCT
cana-664	178	81	models	model	NOUN
cana-664	178	82	worked	work	VERB
cana-664	178	83	when	when	SCONJ
cana-664	178	84	they	they	PRON
cana-664	178	85	were	be	AUX
cana-664	178	86	used	use	VERB
cana-664	178	87	for	for	ADP
cana-664	178	88	healthcare	healthcare	NOUN
cana-664	178	89	picture	picture	NOUN
cana-664	178	90	identification	identification	NOUN
cana-664	178	91	.	.	PUNCT
cana-664	179	1	the	the	DET
cana-664	179	2	accuracy	accuracy	NOUN
cana-664	179	3	,	,	PUNCT
cana-664	179	4	precision	precision	NOUN
cana-664	179	5	,	,	PUNCT
cana-664	179	6	recall	recall	NOUN
cana-664	179	7	,	,	PUNCT
cana-664	179	8	f1	f1	NOUN
cana-664	179	9	-	-	PUNCT
cana-664	179	10	score	score	NOUN
cana-664	179	11	,	,	PUNCT
cana-664	179	12	and	and	CCONJ
cana-664	179	13	auc	auc	NOUN
cana-664	179	14	(	(	PUNCT
cana-664	179	15	area	area	NOUN
cana-664	179	16	under	under	ADP
cana-664	179	17	curve	curve	NOUN
cana-664	179	18	)	)	PUNCT
cana-664	179	19	scores	score	NOUN
cana-664	179	20	are	be	AUX
cana-664	179	21	used	use	VERB
cana-664	179	22	to	to	PART
cana-664	179	23	judge	judge	VERB
cana-664	179	24	each	each	DET
cana-664	179	25	model	model	NOUN
cana-664	179	26	.	.	PUNCT
cana-664	180	1	communications	communication	NOUN
cana-664	180	2	on	on	ADP
cana-664	180	3	applied	apply	VERB
cana-664	180	4	nonlinear	nonlinear	ADJ
cana-664	180	5	analysis	analysis	NOUN
cana-664	180	6	issn	issn	NOUN
cana-664	180	7	:	:	PUNCT
cana-664	180	8	1074	1074	NUM
cana-664	180	9	-	-	PUNCT
cana-664	180	10	133x	133x	NUM
cana-664	180	11	vol	vol	NOUN
cana-664	180	12	31	31	NUM
cana-664	180	13	no	no	NOUN
cana-664	180	14	.	.	PUNCT
cana-664	181	1	2s	2s	NUM
cana-664	181	2	(	(	PUNCT
cana-664	181	3	2024	2024	NUM
cana-664	181	4	)	)	PUNCT
cana-664	181	5	526	526	NUM
cana-664	181	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-664	181	7	figure	figure	NOUN
cana-664	181	8	7	7	NUM
cana-664	181	9	:	:	PUNCT
cana-664	181	10	representation	representation	NOUN
cana-664	181	11	of	of	ADP
cana-664	181	12	performance	performance	NOUN
cana-664	181	13	evaluation	evaluation	NOUN
cana-664	181	14	for	for	ADP
cana-664	181	15	different	different	ADJ
cana-664	181	16	dl	dl	PROPN
cana-664	181	17	models	model	NOUN
cana-664	181	18	these	these	DET
cana-664	181	19	measures	measure	NOUN
cana-664	181	20	show	show	VERB
cana-664	181	21	how	how	SCONJ
cana-664	181	22	well	well	ADV
cana-664	181	23	the	the	DET
cana-664	181	24	models	model	NOUN
cana-664	181	25	do	do	VERB
cana-664	181	26	at	at	ADP
cana-664	181	27	classifying	classify	VERB
cana-664	181	28	,	,	PUNCT
cana-664	181	29	how	how	SCONJ
cana-664	181	30	well	well	ADV
cana-664	181	31	they	they	PRON
cana-664	181	32	can	can	AUX
cana-664	181	33	tell	tell	VERB
cana-664	181	34	the	the	DET
cana-664	181	35	difference	difference	NOUN
cana-664	181	36	between	between	ADP
cana-664	181	37	real	real	ADJ
cana-664	181	38	and	and	CCONJ
cana-664	181	39	fake	fake	ADJ
cana-664	181	40	medical	medical	ADJ
cana-664	181	41	images	image	NOUN
cana-664	181	42	,	,	PUNCT
cana-664	181	43	and	and	CCONJ
cana-664	181	44	how	how	SCONJ
cana-664	181	45	well	well	ADV
cana-664	181	46	they	they	PRON
cana-664	181	47	do	do	VERB
cana-664	181	48	overall	overall	ADV
cana-664	181	49	at	at	ADP
cana-664	181	50	finding	find	VERB
cana-664	181	51	image	image	NOUN
cana-664	181	52	scams.cnn	scams.cnn	NOUN
cana-664	181	53	,	,	PUNCT
cana-664	181	54	which	which	PRON
cana-664	181	55	stands	stand	VERB
cana-664	181	56	for	for	ADP
cana-664	181	57	"	"	PUNCT
cana-664	181	58	convolutional	convolutional	ADJ
cana-664	181	59	neural	neural	ADJ
cana-664	181	60	network	network	NOUN
cana-664	181	61	,	,	PUNCT
cana-664	181	62	"	"	PUNCT
cana-664	181	63	is	be	AUX
cana-664	181	64	a	a	DET
cana-664	181	65	popular	popular	ADJ
cana-664	181	66	way	way	NOUN
cana-664	181	67	to	to	PART
cana-664	181	68	classify	classify	VERB
cana-664	181	69	images	image	NOUN
cana-664	181	70	.	.	PUNCT
cana-664	182	1	figure	figure	VERB
cana-664	182	2	7	7	NUM
cana-664	182	3	shows	show	VERB
cana-664	182	4	how	how	SCONJ
cana-664	182	5	confusion	confusion	NOUN
cana-664	182	6	matrices	matrix	NOUN
cana-664	182	7	are	be	AUX
cana-664	182	8	used	use	VERB
cana-664	182	9	to	to	PART
cana-664	182	10	judge	judge	VERB
cana-664	182	11	the	the	DET
cana-664	182	12	success	success	NOUN
cana-664	182	13	of	of	ADP
cana-664	182	14	different	different	ADJ
cana-664	182	15	dl	dl	PROPN
cana-664	182	16	models	model	NOUN
cana-664	182	17	.	.	PUNCT
cana-664	183	1	(	(	PUNCT
cana-664	183	2	a	a	X
cana-664	183	3	)	)	PUNCT
cana-664	183	4	cnn	cnn	PROPN
cana-664	183	5	(	(	PUNCT
cana-664	183	6	b	b	NOUN
cana-664	183	7	)	)	PUNCT
cana-664	183	8	resnet	resnet	NOUN
cana-664	183	9	(	(	PUNCT
cana-664	183	10	c	c	NOUN
cana-664	183	11	)	)	PUNCT
cana-664	183	12	capsule	capsule	NOUN
cana-664	183	13	network	network	NOUN
cana-664	183	14	(	(	PUNCT
cana-664	183	15	d	d	NOUN
cana-664	183	16	)	)	PUNCT
cana-664	183	17	lstm	lstm	NOUN
cana-664	183	18	communications	communication	NOUN
cana-664	183	19	on	on	ADP
cana-664	183	20	applied	apply	VERB
cana-664	183	21	nonlinear	nonlinear	ADJ
cana-664	183	22	analysis	analysis	NOUN
cana-664	183	23	issn	issn	NOUN
cana-664	183	24	:	:	PUNCT
cana-664	183	25	1074	1074	NUM
cana-664	183	26	-	-	PUNCT
cana-664	183	27	133x	133x	NUM
cana-664	183	28	vol	vol	NOUN
cana-664	183	29	31	31	NUM
cana-664	183	30	no	no	NOUN
cana-664	183	31	.	.	PUNCT
cana-664	184	1	2s	2s	NUM
cana-664	184	2	(	(	PUNCT
cana-664	184	3	2024	2024	NUM
cana-664	184	4	)	)	PUNCT
cana-664	184	5	527	527	NUM
cana-664	184	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-664	184	7	(	(	PUNCT
cana-664	184	8	e	e	NOUN
cana-664	184	9	)	)	PUNCT
cana-664	184	10	gan	gan	NOUN
cana-664	184	11	figure	figure	NOUN
cana-664	184	12	8	8	NUM
cana-664	184	13	:	:	PUNCT
cana-664	184	14	representation	representation	NOUN
cana-664	184	15	of	of	ADP
cana-664	184	16	training	train	VERB
cana-664	184	17	an	an	DET
cana-664	184	18	validation	validation	NOUN
cana-664	184	19	loss	loss	NOUN
cana-664	184	20	for	for	ADP
cana-664	184	21	different	different	ADJ
cana-664	184	22	model	model	NOUN
cana-664	184	23	the	the	DET
cana-664	184	24	cnn	cnn	PROPN
cana-664	184	25	model	model	NOUN
cana-664	184	26	did	do	VERB
cana-664	184	27	very	very	ADV
cana-664	184	28	well	well	ADV
cana-664	184	29	in	in	ADP
cana-664	184	30	this	this	DET
cana-664	184	31	test	test	NOUN
cana-664	184	32	,	,	PUNCT
cana-664	184	33	with	with	ADP
cana-664	184	34	an	an	DET
cana-664	184	35	accuracy	accuracy	NOUN
cana-664	184	36	of	of	ADP
cana-664	184	37	0.93	0.93	NUM
cana-664	184	38	,	,	PUNCT
cana-664	184	39	which	which	PRON
cana-664	184	40	means	mean	VERB
cana-664	184	41	it	it	PRON
cana-664	184	42	correctly	correctly	ADV
cana-664	184	43	labeled	label	VERB
cana-664	184	44	93	93	NUM
cana-664	184	45	%	%	NOUN
cana-664	184	46	of	of	ADP
cana-664	184	47	the	the	DET
cana-664	184	48	images	image	NOUN
cana-664	184	49	in	in	ADP
cana-664	184	50	the	the	DET
cana-664	184	51	collection	collection	NOUN
cana-664	184	52	.	.	PUNCT
cana-664	185	1	it	it	PRON
cana-664	185	2	also	also	ADV
cana-664	185	3	had	have	VERB
cana-664	185	4	high	high	ADJ
cana-664	185	5	precision	precision	NOUN
cana-664	185	6	(	(	PUNCT
cana-664	185	7	0.95	0.95	NUM
cana-664	185	8	)	)	PUNCT
cana-664	185	9	,	,	PUNCT
cana-664	185	10	recall	recall	NOUN
cana-664	185	11	(	(	PUNCT
cana-664	185	12	0.90	0.90	NUM
cana-664	185	13	)	)	PUNCT
cana-664	185	14	,	,	PUNCT
cana-664	185	15	and	and	CCONJ
cana-664	185	16	f1	f1	NOUN
cana-664	185	17	-	-	PUNCT
cana-664	185	18	score	score	NOUN
cana-664	185	19	(	(	PUNCT
cana-664	185	20	0.92	0.92	NUM
cana-664	185	21	)	)	PUNCT
cana-664	185	22	,	,	PUNCT
cana-664	185	23	which	which	PRON
cana-664	185	24	suggests	suggest	VERB
cana-664	185	25	that	that	SCONJ
cana-664	185	26	it	it	PRON
cana-664	185	27	did	do	VERB
cana-664	185	28	a	a	DET
cana-664	185	29	good	good	ADJ
cana-664	185	30	job	job	NOUN
cana-664	185	31	of	of	ADP
cana-664	185	32	finding	find	VERB
cana-664	185	33	positive	positive	ADJ
cana-664	185	34	cases	case	NOUN
cana-664	185	35	(	(	PUNCT
cana-664	185	36	real	real	ADJ
cana-664	185	37	or	or	CCONJ
cana-664	185	38	fake	fake	ADJ
cana-664	185	39	images	image	NOUN
cana-664	185	40	)	)	PUNCT
cana-664	185	41	and	and	CCONJ
cana-664	185	42	reducing	reduce	VERB
cana-664	185	43	the	the	DET
cana-664	185	44	number	number	NOUN
cana-664	185	45	of	of	ADP
cana-664	185	46	false	false	ADJ
cana-664	185	47	positives	positive	NOUN
cana-664	185	48	and	and	CCONJ
cana-664	185	49	negatives	negative	NOUN
cana-664	185	50	.	.	PUNCT
cana-664	186	1	figure	figure	NOUN
cana-664	186	2	8	8	NUM
cana-664	186	3	shows	show	VERB
cana-664	186	4	the	the	DET
cana-664	186	5	training	training	NOUN
cana-664	186	6	and	and	CCONJ
cana-664	186	7	validation	validation	NOUN
cana-664	186	8	loss	loss	NOUN
cana-664	186	9	curves	curve	NOUN
cana-664	186	10	for	for	ADP
cana-664	186	11	various	various	ADJ
cana-664	186	12	dl	dl	PROPN
cana-664	186	13	models	model	NOUN
cana-664	186	14	,	,	PUNCT
cana-664	186	15	which	which	PRON
cana-664	186	16	shows	show	VERB
cana-664	186	17	how	how	SCONJ
cana-664	186	18	they	they	PRON
cana-664	186	19	learn	learn	VERB
cana-664	186	20	and	and	CCONJ
cana-664	186	21	how	how	SCONJ
cana-664	186	22	well	well	ADV
cana-664	186	23	they	they	PRON
cana-664	186	24	can	can	AUX
cana-664	186	25	generalize	generalize	VERB
cana-664	186	26	.	.	PUNCT
cana-664	187	1	figure	figure	VERB
cana-664	187	2	9	9	NUM
cana-664	187	3	:	:	PUNCT
cana-664	187	4	comparative	comparative	ADJ
cana-664	187	5	of	of	ADP
cana-664	187	6	performance	performance	NOUN
cana-664	187	7	analysis	analysis	NOUN
cana-664	187	8	for	for	ADP
cana-664	187	9	different	different	ADJ
cana-664	187	10	model	model	NOUN
cana-664	187	11	the	the	DET
cana-664	187	12	resnet	resnet	NOUN
cana-664	187	13	,	,	PUNCT
cana-664	187	14	or	or	CCONJ
cana-664	187	15	leftover	leftover	NOUN
cana-664	187	16	network	network	NOUN
cana-664	187	17	,	,	PUNCT
cana-664	187	18	is	be	AUX
cana-664	187	19	famous	famous	ADJ
cana-664	187	20	for	for	ADP
cana-664	187	21	its	its	PRON
cana-664	187	22	deep	deep	ADJ
cana-664	187	23	design	design	NOUN
cana-664	187	24	and	and	CCONJ
cana-664	187	25	leftover	leftover	NOUN
cana-664	187	26	links	link	NOUN
cana-664	187	27	,	,	PUNCT
cana-664	187	28	which	which	PRON
cana-664	187	29	help	help	VERB
cana-664	187	30	fix	fix	VERB
cana-664	187	31	the	the	DET
cana-664	187	32	disappearing	disappear	VERB
cana-664	187	33	gradient	gradient	NOUN
cana-664	187	34	problem	problem	NOUN
cana-664	187	35	and	and	CCONJ
cana-664	187	36	make	make	VERB
cana-664	187	37	it	it	PRON
cana-664	187	38	possible	possible	ADJ
cana-664	187	39	to	to	PART
cana-664	187	40	build	build	VERB
cana-664	187	41	very	very	ADV
cana-664	187	42	deep	deep	ADJ
cana-664	187	43	networks	network	NOUN
cana-664	187	44	.	.	PUNCT
cana-664	188	1	the	the	DET
cana-664	188	2	resnet	resnet	NOUN
cana-664	188	3	model	model	NOUN
cana-664	188	4	did	do	VERB
cana-664	188	5	better	well	ADV
cana-664	188	6	than	than	ADP
cana-664	188	7	cnn	cnn	PROPN
cana-664	188	8	in	in	ADP
cana-664	188	9	this	this	DET
cana-664	188	10	test	test	NOUN
cana-664	188	11	,	,	PUNCT
cana-664	188	12	getting	get	VERB
cana-664	188	13	higher	high	ADJ
cana-664	188	14	scores	score	NOUN
cana-664	188	15	on	on	ADP
cana-664	188	16	all	all	DET
cana-664	188	17	measures	measure	NOUN
cana-664	188	18	.	.	PUNCT
cana-664	189	1	communications	communication	NOUN
cana-664	189	2	on	on	ADP
cana-664	189	3	applied	apply	VERB
cana-664	189	4	nonlinear	nonlinear	ADJ
cana-664	189	5	analysis	analysis	NOUN
cana-664	189	6	issn	issn	NOUN
cana-664	189	7	:	:	PUNCT
cana-664	189	8	1074	1074	NUM
cana-664	189	9	-	-	PUNCT
cana-664	189	10	133x	133x	NUM
cana-664	189	11	vol	vol	NOUN
cana-664	189	12	31	31	NUM
cana-664	189	13	no	no	NOUN
cana-664	189	14	.	.	PUNCT
cana-664	190	1	2s	2s	NUM
cana-664	190	2	(	(	PUNCT
cana-664	190	3	2024	2024	NUM
cana-664	190	4	)	)	PUNCT
cana-664	190	5	528	528	NUM
cana-664	190	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-664	190	7	figure	figure	NOUN
cana-664	190	8	10	10	NUM
cana-664	190	9	:	:	PUNCT
cana-664	190	10	accuracy	accuracy	NOUN
cana-664	190	11	comparison	comparison	NOUN
cana-664	190	12	for	for	ADP
cana-664	190	13	different	different	ADJ
cana-664	190	14	dl	dl	PROPN
cana-664	190	15	models	model	NOUN
cana-664	190	16	resnet	resnet	NOUN
cana-664	190	17	did	do	VERB
cana-664	190	18	better	well	ADV
cana-664	190	19	at	at	ADP
cana-664	190	20	classifying	classify	VERB
cana-664	190	21	things	thing	NOUN
cana-664	190	22	than	than	ADP
cana-664	190	23	other	other	ADJ
cana-664	190	24	networks	network	NOUN
cana-664	190	25	,	,	PUNCT
cana-664	190	26	with	with	ADP
cana-664	190	27	an	an	DET
cana-664	190	28	accuracy	accuracy	NOUN
cana-664	190	29	score	score	NOUN
cana-664	190	30	of	of	ADP
cana-664	190	31	0.96	0.96	NUM
cana-664	190	32	,	,	PUNCT
cana-664	190	33	a	a	DET
cana-664	190	34	precision	precision	NOUN
cana-664	190	35	score	score	NOUN
cana-664	190	36	of	of	ADP
cana-664	190	37	0.97	0.97	NUM
cana-664	190	38	,	,	PUNCT
cana-664	190	39	a	a	DET
cana-664	190	40	recall	recall	NOUN
cana-664	190	41	score	score	NOUN
cana-664	190	42	of	of	ADP
cana-664	190	43	0.94	0.94	NUM
cana-664	190	44	,	,	PUNCT
cana-664	190	45	and	and	CCONJ
cana-664	190	46	an	an	DET
cana-664	190	47	f1	f1	NOUN
cana-664	190	48	-	-	PUNCT
cana-664	190	49	score	score	NOUN
cana-664	190	50	of	of	ADP
cana-664	190	51	0.95	0.95	NUM
cana-664	190	52	.	.	PUNCT
cana-664	191	1	its	its	PRON
cana-664	191	2	auc	auc	ADJ
cana-664	191	3	number	number	NOUN
cana-664	191	4	of	of	ADP
cana-664	191	5	0.98	0.98	NUM
cana-664	191	6	also	also	ADV
cana-664	191	7	shows	show	VERB
cana-664	191	8	that	that	SCONJ
cana-664	191	9	it	it	PRON
cana-664	191	10	can	can	AUX
cana-664	191	11	tell	tell	VERB
cana-664	191	12	the	the	DET
cana-664	191	13	difference	difference	NOUN
cana-664	191	14	between	between	ADP
cana-664	191	15	things	thing	NOUN
cana-664	191	16	very	very	ADV
cana-664	191	17	well	well	ADV
cana-664	191	18	,	,	PUNCT
cana-664	191	19	about	about	ADP
cana-664	191	20	the	the	DET
cana-664	191	21	same	same	ADJ
cana-664	191	22	as	as	ADP
cana-664	191	23	cnn	cnn	PROPN
cana-664	191	24	.	.	PUNCT
cana-664	192	1	this	this	DET
cana-664	192	2	test	test	NOUN
cana-664	192	3	showed	show	VERB
cana-664	192	4	that	that	SCONJ
cana-664	192	5	the	the	DET
cana-664	192	6	capsule	capsule	NOUN
cana-664	192	7	network	network	NOUN
cana-664	192	8	,	,	PUNCT
cana-664	192	9	a	a	DET
cana-664	192	10	fairly	fairly	ADV
cana-664	192	11	new	new	ADJ
cana-664	192	12	model	model	NOUN
cana-664	192	13	meant	mean	VERB
cana-664	192	14	to	to	PART
cana-664	192	15	fix	fix	VERB
cana-664	192	16	the	the	DET
cana-664	192	17	problems	problem	NOUN
cana-664	192	18	that	that	PRON
cana-664	192	19	cnns	cnn	VERB
cana-664	192	20	have	have	VERB
cana-664	192	21	with	with	ADP
cana-664	192	22	recording	record	VERB
cana-664	192	23	spatial	spatial	ADJ
cana-664	192	24	structures	structure	NOUN
cana-664	192	25	,	,	PUNCT
cana-664	192	26	worked	work	VERB
cana-664	192	27	very	very	ADV
cana-664	192	28	well	well	ADV
cana-664	192	29	.	.	PUNCT
cana-664	193	1	figure	figure	NOUN
cana-664	193	2	9	9	NUM
cana-664	193	3	shows	show	VERB
cana-664	193	4	how	how	SCONJ
cana-664	193	5	well	well	ADV
cana-664	193	6	different	different	ADJ
cana-664	193	7	models	model	NOUN
cana-664	193	8	work	work	VERB
cana-664	193	9	at	at	ADP
cana-664	193	10	picture	picture	NOUN
cana-664	193	11	authentication	authentication	NOUN
cana-664	193	12	and	and	CCONJ
cana-664	193	13	points	point	VERB
cana-664	193	14	out	out	ADP
cana-664	193	15	their	their	PRON
cana-664	193	16	pros	pro	NOUN
cana-664	193	17	and	and	CCONJ
cana-664	193	18	cons	con	NOUN
cana-664	193	19	.	.	PUNCT
cana-664	194	1	still	still	ADV
cana-664	194	2	,	,	PUNCT
cana-664	194	3	the	the	DET
cana-664	194	4	capsule	capsule	PROPN
cana-664	194	5	network	network	NOUN
cana-664	194	6	's	's	PART
cana-664	194	7	general	general	ADJ
cana-664	194	8	performance	performance	NOUN
cana-664	194	9	shows	show	VERB
cana-664	194	10	how	how	SCONJ
cana-664	194	11	useful	useful	ADJ
cana-664	194	12	it	it	PRON
cana-664	194	13	could	could	AUX
cana-664	194	14	be	be	AUX
cana-664	194	15	for	for	ADP
cana-664	194	16	picture	picture	NOUN
cana-664	194	17	identification	identification	NOUN
cana-664	194	18	jobs	job	NOUN
cana-664	194	19	in	in	ADP
cana-664	194	20	healthcare	healthcare	PROPN
cana-664	194	21	,	,	PUNCT
cana-664	194	22	especially	especially	ADV
cana-664	194	23	when	when	SCONJ
cana-664	194	24	it	it	PRON
cana-664	194	25	's	be	AUX
cana-664	194	26	important	important	ADJ
cana-664	194	27	to	to	PART
cana-664	194	28	capture	capture	VERB
cana-664	194	29	physical	physical	ADJ
cana-664	194	30	relationships	relationship	NOUN
cana-664	194	31	and	and	CCONJ
cana-664	194	32	groups	group	NOUN
cana-664	194	33	.	.	PUNCT
cana-664	195	1	figure	figure	VERB
cana-664	195	2	11	11	NUM
cana-664	195	3	:	:	PUNCT
cana-664	195	4	confusion	confusion	NOUN
cana-664	195	5	matrix	matrix	NOUN
cana-664	195	6	for	for	ADP
cana-664	195	7	cnn	cnn	PROPN
cana-664	195	8	and	and	CCONJ
cana-664	195	9	resnet	resnet	NOUN
cana-664	195	10	model	model	NOUN
cana-664	195	11	communications	communication	NOUN
cana-664	195	12	on	on	ADP
cana-664	195	13	applied	apply	VERB
cana-664	195	14	nonlinear	nonlinear	ADJ
cana-664	195	15	analysis	analysis	NOUN
cana-664	195	16	issn	issn	NOUN
cana-664	195	17	:	:	PUNCT
cana-664	195	18	1074	1074	NUM
cana-664	195	19	-	-	PUNCT
cana-664	195	20	133x	133x	NUM
cana-664	195	21	vol	vol	NOUN
cana-664	195	22	31	31	NUM
cana-664	195	23	no	no	NOUN
cana-664	195	24	.	.	PUNCT
cana-664	196	1	2s	2s	NUM
cana-664	196	2	(	(	PUNCT
cana-664	196	3	2024	2024	NUM
cana-664	196	4	)	)	PUNCT
cana-664	196	5	529	529	NUM
cana-664	196	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-664	196	7	figure	figure	NOUN
cana-664	196	8	12	12	NUM
cana-664	196	9	:	:	PUNCT
cana-664	196	10	confusion	confusion	NOUN
cana-664	196	11	matrix	matrix	NOUN
cana-664	196	12	for	for	ADP
cana-664	196	13	capsule	capsule	NOUN
cana-664	196	14	network	network	NOUN
cana-664	196	15	,	,	PUNCT
cana-664	196	16	lstm	lstm	NOUN
cana-664	196	17	and	and	CCONJ
cana-664	196	18	gan	gin	VERB
cana-664	196	19	long	long	ADJ
cana-664	196	20	short	short	ADJ
cana-664	196	21	-	-	PUNCT
cana-664	196	22	term	term	NOUN
cana-664	196	23	memory	memory	NOUN
cana-664	196	24	,	,	PUNCT
cana-664	196	25	or	or	CCONJ
cana-664	196	26	lstm	lstm	NOUN
cana-664	196	27	,	,	PUNCT
cana-664	196	28	is	be	AUX
cana-664	196	29	a	a	DET
cana-664	196	30	type	type	NOUN
cana-664	196	31	of	of	ADP
cana-664	196	32	recurrent	recurrent	ADJ
cana-664	196	33	neural	neural	ADJ
cana-664	196	34	network	network	NOUN
cana-664	196	35	(	(	PUNCT
cana-664	196	36	rnn	rnn	PROPN
cana-664	196	37	)	)	PUNCT
cana-664	196	38	design	design	NOUN
cana-664	196	39	that	that	PRON
cana-664	196	40	is	be	AUX
cana-664	196	41	known	know	VERB
cana-664	196	42	for	for	ADP
cana-664	196	43	being	be	AUX
cana-664	196	44	able	able	ADJ
cana-664	196	45	to	to	PART
cana-664	196	46	understand	understand	VERB
cana-664	196	47	how	how	SCONJ
cana-664	196	48	linear	linear	ADJ
cana-664	196	49	data	datum	NOUN
cana-664	196	50	is	be	AUX
cana-664	196	51	affected	affect	VERB
cana-664	196	52	by	by	ADP
cana-664	196	53	time	time	NOUN
cana-664	196	54	.	.	PUNCT
cana-664	197	1	the	the	DET
cana-664	197	2	lstm	lstm	PROPN
cana-664	197	3	model	model	NOUN
cana-664	197	4	did	do	VERB
cana-664	197	5	very	very	ADV
cana-664	197	6	well	well	ADV
cana-664	197	7	in	in	ADP
cana-664	197	8	this	this	DET
cana-664	197	9	test	test	NOUN
cana-664	197	10	,	,	PUNCT
cana-664	197	11	getting	get	VERB
cana-664	197	12	an	an	DET
cana-664	197	13	accuracy	accuracy	NOUN
cana-664	197	14	score	score	NOUN
cana-664	197	15	of	of	ADP
cana-664	197	16	0.94	0.94	NUM
cana-664	197	17	,	,	PUNCT
cana-664	197	18	a	a	DET
cana-664	197	19	precision	precision	NOUN
cana-664	197	20	score	score	NOUN
cana-664	197	21	of	of	ADP
cana-664	197	22	0.96	0.96	NUM
cana-664	197	23	,	,	PUNCT
cana-664	197	24	a	a	DET
cana-664	197	25	recall	recall	NOUN
cana-664	197	26	score	score	NOUN
cana-664	197	27	of	of	ADP
cana-664	197	28	0.92	0.92	NUM
cana-664	197	29	,	,	PUNCT
cana-664	197	30	and	and	CCONJ
cana-664	197	31	an	an	DET
cana-664	197	32	f1	f1	NOUN
cana-664	197	33	-	-	PUNCT
cana-664	197	34	score	score	NOUN
cana-664	197	35	of	of	ADP
cana-664	197	36	0.94	0.94	NUM
cana-664	197	37	.	.	PUNCT
cana-664	198	1	its	its	PRON
cana-664	198	2	auc	auc	ADJ
cana-664	198	3	score	score	NOUN
cana-664	198	4	of	of	ADP
cana-664	198	5	0.99	0.99	NUM
cana-664	198	6	means	mean	VERB
cana-664	198	7	that	that	SCONJ
cana-664	198	8	it	it	PRON
cana-664	198	9	can	can	AUX
cana-664	198	10	tell	tell	VERB
cana-664	198	11	the	the	DET
cana-664	198	12	difference	difference	NOUN
cana-664	198	13	between	between	ADP
cana-664	198	14	very	very	ADV
cana-664	198	15	different	different	ADJ
cana-664	198	16	things	thing	NOUN
cana-664	198	17	better	well	ADV
cana-664	198	18	than	than	ADP
cana-664	198	19	any	any	DET
cana-664	198	20	other	other	ADJ
cana-664	198	21	model	model	NOUN
cana-664	198	22	in	in	ADP
cana-664	198	23	the	the	DET
cana-664	198	24	test	test	NOUN
cana-664	198	25	.	.	PUNCT
cana-664	199	1	these	these	DET
cana-664	199	2	findings	finding	NOUN
cana-664	199	3	show	show	VERB
cana-664	199	4	that	that	SCONJ
cana-664	199	5	lstm	lstm	PROPN
cana-664	199	6	works	work	VERB
cana-664	199	7	well	well	ADV
cana-664	199	8	for	for	ADP
cana-664	199	9	jobs	job	NOUN
cana-664	199	10	like	like	ADP
cana-664	199	11	picture	picture	NOUN
cana-664	199	12	identification	identification	NOUN
cana-664	199	13	that	that	PRON
cana-664	199	14	need	need	VERB
cana-664	199	15	to	to	PART
cana-664	199	16	handle	handle	VERB
cana-664	199	17	sequential	sequential	ADJ
cana-664	199	18	data	datum	NOUN
cana-664	199	19	,	,	PUNCT
cana-664	199	20	like	like	ADP
cana-664	199	21	video	video	NOUN
cana-664	199	22	-	-	PUNCT
cana-664	199	23	based	base	VERB
cana-664	199	24	medical	medical	ADJ
cana-664	199	25	imaging	imaging	NOUN
cana-664	199	26	,	,	PUNCT
cana-664	199	27	where	where	SCONJ
cana-664	199	28	it	it	PRON
cana-664	199	29	's	be	AUX
cana-664	199	30	important	important	ADJ
cana-664	199	31	to	to	PART
cana-664	199	32	capture	capture	VERB
cana-664	199	33	changes	change	NOUN
cana-664	199	34	in	in	ADP
cana-664	199	35	time	time	NOUN
cana-664	199	36	.	.	PUNCT
cana-664	200	1	finally	finally	ADV
cana-664	200	2	,	,	PUNCT
cana-664	200	3	the	the	DET
cana-664	200	4	generative	generative	ADJ
cana-664	200	5	adversarial	adversarial	ADJ
cana-664	200	6	network	network	NOUN
cana-664	200	7	(	(	PUNCT
cana-664	200	8	gan	gan	PROPN
cana-664	200	9	)	)	PUNCT
cana-664	200	10	did	do	VERB
cana-664	200	11	really	really	ADV
cana-664	200	12	well	well	ADV
cana-664	200	13	in	in	ADP
cana-664	200	14	this	this	DET
cana-664	200	15	test	test	NOUN
cana-664	200	16	,	,	PUNCT
cana-664	200	17	getting	get	VERB
cana-664	200	18	an	an	DET
cana-664	200	19	accuracy	accuracy	NOUN
cana-664	200	20	score	score	NOUN
cana-664	200	21	of	of	ADP
cana-664	200	22	0.98	0.98	NUM
cana-664	200	23	,	,	PUNCT
cana-664	200	24	a	a	DET
cana-664	200	25	precision	precision	NOUN
cana-664	200	26	score	score	NOUN
cana-664	200	27	of	of	ADP
cana-664	200	28	0.99	0.99	NUM
cana-664	200	29	,	,	PUNCT
cana-664	200	30	a	a	DET
cana-664	200	31	recall	recall	NOUN
cana-664	200	32	score	score	NOUN
cana-664	200	33	of	of	ADP
cana-664	200	34	0.96	0.96	NUM
cana-664	200	35	,	,	PUNCT
cana-664	200	36	and	and	CCONJ
cana-664	200	37	an	an	DET
cana-664	200	38	f1	f1	NOUN
cana-664	200	39	-	-	PUNCT
cana-664	200	40	score	score	NOUN
cana-664	200	41	of	of	ADP
cana-664	200	42	0.97	0.97	NUM
cana-664	200	43	.	.	PUNCT
cana-664	201	1	its	its	PRON
cana-664	201	2	auc	auc	ADJ
cana-664	201	3	score	score	NOUN
cana-664	201	4	of	of	ADP
cana-664	201	5	0.99	0.99	NUM
cana-664	201	6	,	,	PUNCT
cana-664	201	7	which	which	PRON
cana-664	201	8	is	be	AUX
cana-664	201	9	about	about	ADV
cana-664	201	10	the	the	DET
cana-664	201	11	same	same	ADJ
cana-664	201	12	as	as	ADP
cana-664	201	13	lstm	lstm	PROPN
cana-664	201	14	's	's	PART
cana-664	201	15	,	,	PUNCT
cana-664	201	16	shows	show	VERB
cana-664	201	17	that	that	SCONJ
cana-664	201	18	it	it	PRON
cana-664	201	19	can	can	AUX
cana-664	201	20	discriminate	discriminate	VERB
cana-664	201	21	very	very	ADV
cana-664	201	22	well	well	ADV
cana-664	201	23	,	,	PUNCT
cana-664	201	24	accuracy	accuracy	NOUN
cana-664	201	25	comparison	comparison	NOUN
cana-664	201	26	shown	show	VERB
cana-664	201	27	in	in	ADP
cana-664	201	28	figure	figure	NOUN
cana-664	201	29	10	10	NUM
cana-664	201	30	.	.	PUNCT
cana-664	202	1	6	6	NUM
cana-664	202	2	.	.	X
cana-664	202	3	conclusion	conclusion	NOUN
cana-664	202	4	advanced	advance	VERB
cana-664	202	5	deep	deep	ADJ
cana-664	202	6	learning	learning	NOUN
cana-664	202	7	techniques	technique	NOUN
cana-664	202	8	used	use	VERB
cana-664	202	9	in	in	ADP
cana-664	202	10	picture	picture	NOUN
cana-664	202	11	identification	identification	NOUN
cana-664	202	12	in	in	ADP
cana-664	202	13	healthcare	healthcare	NOUN
cana-664	202	14	situations	situation	NOUN
cana-664	202	15	are	be	AUX
cana-664	202	16	a	a	DET
cana-664	202	17	big	big	ADJ
cana-664	202	18	step	step	NOUN
cana-664	202	19	forward	forward	ADV
cana-664	202	20	in	in	ADP
cana-664	202	21	protecting	protect	VERB
cana-664	202	22	the	the	DET
cana-664	202	23	security	security	NOUN
cana-664	202	24	of	of	ADP
cana-664	202	25	medical	medical	ADJ
cana-664	202	26	data	datum	NOUN
cana-664	202	27	.	.	PUNCT
cana-664	203	1	there	there	PRON
cana-664	203	2	are	be	VERB
cana-664	203	3	many	many	ADJ
cana-664	203	4	types	type	NOUN
cana-664	203	5	of	of	ADP
cana-664	203	6	networks	network	NOUN
cana-664	203	7	that	that	PRON
cana-664	203	8	can	can	AUX
cana-664	203	9	be	be	AUX
cana-664	203	10	used	use	VERB
cana-664	203	11	to	to	PART
cana-664	203	12	find	find	VERB
cana-664	203	13	and	and	CCONJ
cana-664	203	14	reveal	reveal	VERB
cana-664	203	15	large	large	ADJ
cana-664	203	16	-	-	PUNCT
cana-664	203	17	scale	scale	NOUN
cana-664	203	18	medical	medical	ADJ
cana-664	203	19	picture	picture	NOUN
cana-664	203	20	fraud	fraud	NOUN
cana-664	203	21	.	.	PUNCT
cana-664	204	1	these	these	PRON
cana-664	204	2	include	include	VERB
cana-664	204	3	convolutional	convolutional	ADJ
cana-664	204	4	neural	neural	ADJ
cana-664	204	5	networks	network	NOUN
cana-664	204	6	(	(	PUNCT
cana-664	204	7	cnns	cnns	PROPN
cana-664	204	8	)	)	PUNCT
cana-664	204	9	,	,	PUNCT
cana-664	204	10	residual	residual	ADJ
cana-664	204	11	networks	network	NOUN
cana-664	204	12	(	(	PUNCT
cana-664	204	13	resnet	resnet	NOUN
cana-664	204	14	)	)	PUNCT
cana-664	204	15	,	,	PUNCT
cana-664	204	16	capsule	capsule	NOUN
cana-664	204	17	networks	network	NOUN
cana-664	204	18	,	,	PUNCT
cana-664	204	19	long	long	ADJ
cana-664	204	20	short	short	ADJ
cana-664	204	21	-	-	PUNCT
cana-664	204	22	term	term	NOUN
cana-664	204	23	memory	memory	NOUN
cana-664	204	24	networks	network	NOUN
cana-664	204	25	(	(	PUNCT
cana-664	204	26	lstms	lstms	ADJ
cana-664	204	27	)	)	PUNCT
cana-664	204	28	,	,	PUNCT
cana-664	204	29	and	and	CCONJ
cana-664	204	30	generative	generative	VERB
cana-664	204	31	adversarial	adversarial	ADJ
cana-664	204	32	networks	network	NOUN
cana-664	204	33	(	(	PUNCT
cana-664	204	34	gans	gan	NOUN
cana-664	204	35	)	)	PUNCT
cana-664	204	36	.	.	PUNCT
cana-664	205	1	the	the	DET
cana-664	205	2	results	result	NOUN
cana-664	205	3	show	show	VERB
cana-664	205	4	that	that	SCONJ
cana-664	205	5	these	these	DET
cana-664	205	6	models	model	NOUN
cana-664	205	7	are	be	AUX
cana-664	205	8	good	good	ADJ
cana-664	205	9	at	at	ADP
cana-664	205	10	telling	tell	VERB
cana-664	205	11	the	the	DET
cana-664	205	12	difference	difference	NOUN
cana-664	205	13	between	between	ADP
cana-664	205	14	real	real	ADJ
cana-664	205	15	and	and	CCONJ
cana-664	205	16	fake	fake	ADJ
cana-664	205	17	medical	medical	ADJ
cana-664	205	18	images	image	NOUN
cana-664	205	19	.	.	PUNCT
cana-664	206	1	cnn	cnn	PROPN
cana-664	206	2	was	be	AUX
cana-664	206	3	93	93	NUM
cana-664	206	4	%	%	NOUN
cana-664	206	5	accurate	accurate	ADJ
cana-664	206	6	,	,	PUNCT
cana-664	206	7	but	but	CCONJ
cana-664	206	8	resnet	resnet	NOUN
cana-664	206	9	was	be	AUX
cana-664	206	10	96	96	NUM
cana-664	206	11	%	%	NOUN
cana-664	206	12	accurate	accurate	ADJ
cana-664	206	13	,	,	PUNCT
cana-664	206	14	which	which	PRON
cana-664	206	15	was	be	AUX
cana-664	206	16	better	well	ADJ
cana-664	206	17	.	.	PUNCT
cana-664	207	1	with	with	ADP
cana-664	207	2	an	an	DET
cana-664	207	3	accuracy	accuracy	NOUN
cana-664	207	4	rate	rate	NOUN
cana-664	207	5	of	of	ADP
cana-664	207	6	99	99	NUM
cana-664	207	7	%	%	NOUN
cana-664	207	8	,	,	PUNCT
cana-664	207	9	the	the	DET
cana-664	207	10	capsule	capsule	NOUN
cana-664	207	11	network	network	NOUN
cana-664	207	12	showed	show	VERB
cana-664	207	13	that	that	SCONJ
cana-664	207	14	it	it	PRON
cana-664	207	15	was	be	AUX
cana-664	207	16	the	the	DET
cana-664	207	17	most	most	ADV
cana-664	207	18	reliable	reliable	ADJ
cana-664	207	19	at	at	ADP
cana-664	207	20	finding	find	VERB
cana-664	207	21	fake	fake	ADJ
cana-664	207	22	images	image	NOUN
cana-664	207	23	.	.	PUNCT
cana-664	208	1	lstm	lstm	NOUN
cana-664	208	2	and	and	CCONJ
cana-664	208	3	gan	gan	PROPN
cana-664	208	4	models	model	NOUN
cana-664	208	5	also	also	ADV
cana-664	208	6	got	get	VERB
cana-664	208	7	very	very	ADV
cana-664	208	8	good	good	ADJ
cana-664	208	9	results	result	NOUN
cana-664	208	10	,	,	PUNCT
cana-664	208	11	with	with	ADP
cana-664	208	12	94	94	NUM
cana-664	208	13	%	%	NOUN
cana-664	208	14	and	and	CCONJ
cana-664	208	15	98	98	NUM
cana-664	208	16	%	%	NOUN
cana-664	208	17	accuracy	accuracy	NOUN
cana-664	208	18	,	,	PUNCT
cana-664	208	19	respectively	respectively	ADV
cana-664	208	20	.	.	PUNCT
cana-664	209	1	to	to	PART
cana-664	209	2	learn	learn	VERB
cana-664	209	3	more	more	ADJ
cana-664	209	4	about	about	ADP
cana-664	209	5	how	how	SCONJ
cana-664	209	6	well	well	ADV
cana-664	209	7	each	each	DET
cana-664	209	8	model	model	NOUN
cana-664	209	9	works	work	NOUN
cana-664	209	10	,	,	PUNCT
cana-664	209	11	confusion	confusion	NOUN
cana-664	209	12	matrices	matrix	NOUN
cana-664	209	13	show	show	VERB
cana-664	209	14	how	how	SCONJ
cana-664	209	15	well	well	ADV
cana-664	209	16	they	they	PRON
cana-664	209	17	can	can	AUX
cana-664	209	18	find	find	VERB
cana-664	209	19	true	true	ADJ
cana-664	209	20	positives	positive	NOUN
cana-664	209	21	,	,	PUNCT
cana-664	209	22	false	false	ADJ
cana-664	209	23	positives	positive	NOUN
cana-664	209	24	,	,	PUNCT
cana-664	209	25	true	true	ADJ
cana-664	209	26	negatives	negative	NOUN
cana-664	209	27	,	,	PUNCT
cana-664	209	28	and	and	CCONJ
cana-664	209	29	false	false	ADJ
cana-664	209	30	negatives	negative	NOUN
cana-664	209	31	.	.	PUNCT
cana-664	210	1	overall	overall	ADV
cana-664	210	2	,	,	PUNCT
cana-664	210	3	the	the	DET
cana-664	210	4	models	model	NOUN
cana-664	210	5	did	do	VERB
cana-664	210	6	a	a	DET
cana-664	210	7	great	great	ADJ
cana-664	210	8	job	job	NOUN
cana-664	210	9	of	of	ADP
cana-664	210	10	reducing	reduce	VERB
cana-664	210	11	the	the	DET
cana-664	210	12	number	number	NOUN
cana-664	210	13	of	of	ADP
cana-664	210	14	fake	fake	ADJ
cana-664	210	15	positives	positive	NOUN
cana-664	210	16	and	and	CCONJ
cana-664	210	17	rejections	rejection	NOUN
cana-664	210	18	,	,	PUNCT
cana-664	210	19	which	which	PRON
cana-664	210	20	made	make	VERB
cana-664	210	21	picture	picture	NOUN
cana-664	210	22	identification	identification	NOUN
cana-664	210	23	processes	process	VERB
cana-664	210	24	more	more	ADV
cana-664	210	25	reliable	reliable	ADJ
cana-664	210	26	.	.	PUNCT
cana-664	211	1	using	use	VERB
cana-664	211	2	performance	performance	NOUN
cana-664	211	3	measures	measure	NOUN
cana-664	211	4	like	like	ADP
cana-664	211	5	accuracy	accuracy	NOUN
cana-664	211	6	,	,	PUNCT
cana-664	211	7	precision	precision	NOUN
cana-664	211	8	,	,	PUNCT
cana-664	211	9	recall	recall	NOUN
cana-664	211	10	,	,	PUNCT
cana-664	211	11	f1	f1	NOUN
cana-664	211	12	-	-	PUNCT
cana-664	211	13	score	score	NOUN
cana-664	211	14	,	,	PUNCT
cana-664	211	15	and	and	CCONJ
cana-664	211	16	area	area	NOUN
cana-664	211	17	under	under	ADP
cana-664	211	18	the	the	DET
cana-664	211	19	curve	curve	NOUN
cana-664	211	20	(	(	PUNCT
cana-664	211	21	auc	auc	NOUN
cana-664	211	22	)	)	PUNCT
cana-664	211	23	to	to	PART
cana-664	211	24	compare	compare	VERB
cana-664	211	25	each	each	DET
cana-664	211	26	model	model	NOUN
cana-664	211	27	makes	make	VERB
cana-664	211	28	the	the	DET
cana-664	211	29	pros	pro	NOUN
cana-664	211	30	and	and	CCONJ
cana-664	211	31	cons	con	NOUN
cana-664	211	32	of	of	ADP
cana-664	211	33	each	each	DET
cana-664	211	34	clear	clear	ADJ
cana-664	211	35	.	.	PUNCT
cana-664	212	1	different	different	ADJ
cana-664	212	2	models	model	NOUN
cana-664	212	3	perform	perform	VERB
cana-664	212	4	better	well	ADV
cana-664	212	5	overall	overall	ADJ
cana-664	212	6	than	than	ADP
cana-664	212	7	others	other	NOUN
cana-664	212	8	in	in	ADP
cana-664	212	9	certain	certain	ADJ
cana-664	212	10	areas	area	NOUN
cana-664	212	11	.	.	PUNCT
cana-664	213	1	this	this	PRON
cana-664	213	2	shows	show	VERB
cana-664	213	3	how	how	SCONJ
cana-664	213	4	important	important	ADJ
cana-664	213	5	it	it	PRON
cana-664	213	6	is	be	AUX
cana-664	213	7	to	to	PART
cana-664	213	8	choose	choose	VERB
cana-664	213	9	the	the	DET
cana-664	213	10	right	right	ADJ
cana-664	213	11	model	model	NOUN
cana-664	213	12	based	base	VERB
cana-664	213	13	on	on	ADP
cana-664	213	14	your	your	PRON
cana-664	213	15	needs	need	NOUN
cana-664	213	16	and	and	CCONJ
cana-664	213	17	limitations	limitation	NOUN
cana-664	213	18	.	.	PUNCT
cana-664	214	1	visualizing	visualize	VERB
cana-664	214	2	the	the	DET
cana-664	214	3	training	training	NOUN
cana-664	214	4	and	and	CCONJ
cana-664	214	5	validation	validation	NOUN
cana-664	214	6	loss	loss	NOUN
cana-664	214	7	curves	curve	NOUN
cana-664	214	8	also	also	ADV
cana-664	214	9	gives	give	VERB
cana-664	214	10	us	we	PRON
cana-664	214	11	useful	useful	ADJ
cana-664	214	12	information	information	NOUN
cana-664	214	13	about	about	ADP
cana-664	214	14	how	how	SCONJ
cana-664	214	15	each	each	DET
cana-664	214	16	model	model	NOUN
cana-664	214	17	learns	learn	VERB
cana-664	214	18	.	.	PUNCT
cana-664	215	1	understanding	understand	VERB
cana-664	215	2	how	how	SCONJ
cana-664	215	3	the	the	DET
cana-664	215	4	models	model	NOUN
cana-664	215	5	converge	converge	VERB
cana-664	215	6	and	and	CCONJ
cana-664	215	7	how	how	SCONJ
cana-664	215	8	well	well	ADV
cana-664	215	9	they	they	PRON
cana-664	215	10	can	can	AUX
cana-664	215	11	generalize	generalize	VERB
cana-664	215	12	helps	help	VERB
cana-664	215	13	you	you	PRON
cana-664	215	14	fine	fine	ADJ
cana-664	215	15	-	-	PUNCT
cana-664	215	16	tune	tune	NOUN
cana-664	215	17	their	their	PRON
cana-664	215	18	settings	setting	NOUN
cana-664	215	19	and	and	CCONJ
cana-664	215	20	get	get	VERB
cana-664	215	21	the	the	DET
cana-664	215	22	best	good	ADJ
cana-664	215	23	results	result	NOUN
cana-664	215	24	out	out	ADP
cana-664	215	25	of	of	ADP
cana-664	215	26	them	they	PRON
cana-664	215	27	.	.	PUNCT
cana-664	216	1	in	in	ADP
cana-664	216	2	general	general	ADJ
cana-664	216	3	,	,	PUNCT
cana-664	216	4	using	use	VERB
cana-664	216	5	deep	deep	ADJ
cana-664	216	6	learning	learning	NOUN
cana-664	216	7	techniques	technique	NOUN
cana-664	216	8	in	in	ADP
cana-664	216	9	picture	picture	NOUN
cana-664	216	10	authentication	authentication	NOUN
cana-664	216	11	has	have	VERB
cana-664	216	12	a	a	DET
cana-664	216	13	huge	huge	ADJ
cana-664	216	14	amount	amount	NOUN
cana-664	216	15	of	of	ADP
cana-664	216	16	potential	potential	NOUN
cana-664	216	17	to	to	PART
cana-664	216	18	make	make	VERB
cana-664	216	19	medical	medical	ADJ
cana-664	216	20	imaging	imaging	NOUN
cana-664	216	21	systems	system	NOUN
cana-664	216	22	safer	safe	ADJ
cana-664	216	23	and	and	CCONJ
cana-664	216	24	more	more	ADV
cana-664	216	25	reliable	reliable	ADJ
cana-664	216	26	.	.	PUNCT
cana-664	217	1	healthcare	healthcare	NOUN
cana-664	217	2	organizations	organization	NOUN
cana-664	217	3	are	be	AUX
cana-664	217	4	still	still	ADV
cana-664	217	5	having	have	VERB
cana-664	217	6	trouble	trouble	NOUN
cana-664	217	7	with	with	ADP
cana-664	217	8	data	datum	NOUN
cana-664	217	9	security	security	NOUN
cana-664	217	10	and	and	CCONJ
cana-664	217	11	integrity	integrity	NOUN
cana-664	217	12	,	,	PUNCT
cana-664	217	13	so	so	ADV
cana-664	217	14	using	use	VERB
cana-664	217	15	communications	communication	NOUN
cana-664	217	16	on	on	ADP
cana-664	217	17	applied	apply	VERB
cana-664	217	18	nonlinear	nonlinear	ADJ
cana-664	217	19	analysis	analysis	NOUN
cana-664	217	20	issn	issn	NOUN
cana-664	217	21	:	:	PUNCT
cana-664	217	22	1074	1074	NUM
cana-664	217	23	-	-	PUNCT
cana-664	217	24	133x	133x	NUM
cana-664	217	25	vol	vol	NOUN
cana-664	217	26	31	31	NUM
cana-664	217	27	no	no	NOUN
cana-664	217	28	.	.	PUNCT
cana-664	218	1	2s	2s	NUM
cana-664	218	2	(	(	PUNCT
cana-664	218	3	2024	2024	NUM
cana-664	218	4	)	)	PUNCT
cana-664	218	5	530	530	NUM
cana-664	218	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-664	218	7	these	these	DET
cana-664	218	8	new	new	ADJ
cana-664	218	9	technologies	technology	NOUN
cana-664	218	10	to	to	PART
cana-664	218	11	make	make	VERB
cana-664	218	12	sure	sure	ADJ
cana-664	218	13	the	the	DET
cana-664	218	14	validity	validity	NOUN
cana-664	218	15	and	and	CCONJ
cana-664	218	16	reliability	reliability	NOUN
cana-664	218	17	of	of	ADP
cana-664	218	18	medical	medical	ADJ
cana-664	218	19	images	image	NOUN
cana-664	218	20	is	be	AUX
cana-664	218	21	becoming	become	VERB
cana-664	218	22	more	more	ADV
cana-664	218	23	and	and	CCONJ
cana-664	218	24	more	more	ADV
cana-664	218	25	important	important	ADJ
cana-664	218	26	.	.	PUNCT
cana-664	219	1	references	reference	NOUN
cana-664	219	2	[	[	X
cana-664	219	3	1	1	NUM
cana-664	219	4	]	]	SYM
cana-664	219	5	tortorella	tortorella	PROPN
cana-664	219	6	,	,	PUNCT
cana-664	219	7	g.l	g.l	PROPN
cana-664	219	8	.	.	PROPN
cana-664	219	9	;	;	PUNCT
cana-664	219	10	saurin	saurin	PROPN
cana-664	219	11	,	,	PUNCT
cana-664	219	12	t.a	t.a	PROPN
cana-664	219	13	.	.	PROPN
cana-664	219	14	;	;	PUNCT
cana-664	219	15	fogliatto	fogliatto	ADJ
cana-664	219	16	,	,	PUNCT
cana-664	219	17	f.s	f.s	PROPN
cana-664	219	18	.	.	PROPN
cana-664	219	19	;	;	PUNCT
cana-664	219	20	rosa	rosa	PROPN
cana-664	219	21	,	,	PUNCT
cana-664	219	22	v.m	v.m	PROPN
cana-664	219	23	.	.	PROPN
cana-664	219	24	;	;	PUNCT
cana-664	219	25	tonetto	tonetto	NOUN
cana-664	219	26	,	,	PUNCT
cana-664	219	27	l.m	l.m	PROPN
cana-664	219	28	.	.	PROPN
cana-664	219	29	;	;	PUNCT
cana-664	219	30	magrabi	magrabi	PROPN
cana-664	219	31	,	,	PUNCT
cana-664	219	32	f.	f.	PROPN
cana-664	219	33	impacts	impact	NOUN
cana-664	219	34	of	of	ADP
cana-664	219	35	healthcare	healthcare	NOUN
cana-664	219	36	4.0	4.0	NUM
cana-664	219	37	digital	digital	ADJ
cana-664	219	38	technologies	technology	NOUN
cana-664	219	39	on	on	ADP
cana-664	219	40	the	the	DET
cana-664	219	41	resilience	resilience	NOUN
cana-664	219	42	of	of	ADP
cana-664	219	43	hospitals	hospital	NOUN
cana-664	219	44	.	.	PUNCT
cana-664	220	1	technol	technol	PROPN
cana-664	220	2	.	.	PUNCT
cana-664	220	3	forecast	forecast	PROPN
cana-664	220	4	.	.	PUNCT
cana-664	221	1	soc	soc	PROPN
cana-664	221	2	.	.	PUNCT
cana-664	222	1	change	change	VERB
cana-664	222	2	2021	2021	NUM
cana-664	222	3	,	,	PUNCT
cana-664	222	4	166	166	NUM
cana-664	222	5	,	,	PUNCT
cana-664	222	6	120666	120666	NUM
cana-664	222	7	.	.	PUNCT
cana-664	223	1	[	[	X
cana-664	223	2	2	2	NUM
cana-664	223	3	]	]	PUNCT
cana-664	223	4	b.	b.	PROPN
cana-664	223	5	kumar	kumar	PROPN
cana-664	223	6	,	,	PUNCT
cana-664	223	7	a.	a.	NOUN
cana-664	223	8	rajavat	rajavat	NOUN
cana-664	223	9	and	and	CCONJ
cana-664	223	10	a.	a.	NOUN
cana-664	223	11	aman	aman	PROPN
cana-664	223	12	,	,	PUNCT
cana-664	223	13	"	"	PUNCT
cana-664	223	14	ldpc	ldpc	NOUN
cana-664	223	15	based	base	VERB
cana-664	223	16	image	image	NOUN
cana-664	223	17	authentication	authentication	NOUN
cana-664	223	18	system	system	NOUN
cana-664	223	19	,	,	PUNCT
cana-664	223	20	"	"	PUNCT
cana-664	223	21	2013	2013	NUM
cana-664	223	22	4th	4th	ADJ
cana-664	223	23	international	international	ADJ
cana-664	223	24	conference	conference	NOUN
cana-664	223	25	on	on	ADP
cana-664	223	26	computer	computer	NOUN
cana-664	223	27	and	and	CCONJ
cana-664	223	28	communication	communication	NOUN
cana-664	223	29	technology	technology	NOUN
cana-664	223	30	(	(	PUNCT
cana-664	223	31	iccct	iccct	NOUN
cana-664	223	32	)	)	PUNCT
cana-664	223	33	,	,	PUNCT
cana-664	223	34	allahabad	allahabad	PROPN
cana-664	223	35	,	,	PUNCT
cana-664	223	36	india	india	PROPN
cana-664	223	37	,	,	PUNCT
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cana-664	223	39	,	,	PUNCT
cana-664	223	40	pp	pp	ADJ
cana-664	223	41	.	.	PUNCT
cana-664	224	1	205	205	NUM
cana-664	224	2	-	-	SYM
cana-664	224	3	209	209	NUM
cana-664	224	4	,	,	PUNCT
cana-664	224	5	doi	doi	NOUN
cana-664	224	6	:	:	PUNCT
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cana-664	224	8	/	/	SYM
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cana-664	224	10	.	.	PUNCT
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cana-664	225	5	,	,	PUNCT
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cana-664	225	22	things	thing	NOUN
cana-664	225	23	,	,	PUNCT
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cana-664	225	33	.	.	PUNCT
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cana-664	226	7	.	.	PUNCT
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cana-664	227	2	,	,	PUNCT
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cana-664	227	4	,	,	PUNCT
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cana-664	227	6	.	.	PUNCT
cana-664	228	1	[	[	X
cana-664	228	2	4	4	X
cana-664	228	3	]	]	PUNCT
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cana-664	228	33	robotics	robotic	NOUN
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cana-664	228	49	.	.	PUNCT
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cana-664	229	2	-	-	SYM
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cana-664	229	6	:	:	PUNCT
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cana-664	230	2	-	-	SYM
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cana-664	237	2	-	-	SYM
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cana-664	242	2	10	10	NUM
cana-664	242	3	]	]	PUNCT
cana-664	242	4	ajani	ajani	PROPN
cana-664	242	5	,	,	PUNCT
cana-664	242	6	s.	s.	PROPN
cana-664	242	7	n.	n.	PROPN
cana-664	242	8	.	.	PUNCT
cana-664	242	9	,	,	PUNCT
cana-664	242	10	khobragade	khobragade	PROPN
cana-664	242	11	,	,	PUNCT
cana-664	242	12	p.	p.	NOUN
cana-664	242	13	.	.	PUNCT
cana-664	242	14	,	,	PUNCT
cana-664	242	15	dhone	dhone	NOUN
cana-664	242	16	,	,	PUNCT
cana-664	242	17	m.	m.	NOUN
cana-664	242	18	.	.	PUNCT
cana-664	243	1	,	,	PUNCT
cana-664	243	2	ganguly	ganguly	PROPN
cana-664	243	3	,	,	PUNCT
cana-664	243	4	b.	b.	PROPN
cana-664	243	5	.	.	PUNCT
cana-664	243	6	,	,	PUNCT
cana-664	243	7	shelke	shelke	PROPN
cana-664	243	8	,	,	PUNCT
cana-664	243	9	n.	n.	NOUN
cana-664	243	10	.	.	PUNCT
cana-664	243	11	,	,	PUNCT
cana-664	243	12	&	&	CCONJ
cana-664	243	13	parati	parati	NOUN
cana-664	243	14	,	,	PUNCT
cana-664	243	15	n.	n.	NOUN
cana-664	243	16	.	.	PUNCT
cana-664	244	1	(	(	PUNCT
cana-664	244	2	2023	2023	NUM
cana-664	244	3	)	)	PUNCT
cana-664	244	4	.	.	PUNCT
cana-664	245	1	advancements	advancement	NOUN
cana-664	245	2	in	in	ADP
cana-664	245	3	computing	compute	VERB
cana-664	245	4	:	:	PUNCT
cana-664	245	5	emerging	emerge	VERB
cana-664	245	6	trends	trend	NOUN
cana-664	245	7	in	in	ADP
cana-664	245	8	computational	computational	ADJ
cana-664	245	9	science	science	NOUN
cana-664	245	10	with	with	ADP
cana-664	245	11	next	next	ADJ
cana-664	245	12	-	-	PUNCT
cana-664	245	13	generation	generation	NOUN
cana-664	245	14	computing	computing	NOUN
cana-664	245	15	.	.	PUNCT
cana-664	246	1	international	international	ADJ
cana-664	246	2	journal	journal	NOUN
cana-664	246	3	of	of	ADP
cana-664	246	4	intelligent	intelligent	ADJ
cana-664	246	5	systems	system	NOUN
cana-664	246	6	and	and	CCONJ
cana-664	246	7	applications	application	NOUN
cana-664	246	8	in	in	ADP
cana-664	246	9	engineering	engineering	NOUN
cana-664	246	10	,	,	PUNCT
cana-664	246	11	12(7s	12(7s	NUM
cana-664	246	12	)	)	PUNCT
cana-664	246	13	,	,	PUNCT
cana-664	247	1	546–559	546–559	NUM
cana-664	247	2	[	[	X
cana-664	247	3	11	11	NUM
cana-664	247	4	]	]	X
cana-664	247	5	h.	h.	PROPN
cana-664	247	6	d.	d.	PROPN
cana-664	247	7	rafik	rafik	PROPN
cana-664	247	8	and	and	CCONJ
cana-664	247	9	m.	m.	PROPN
cana-664	247	10	boubaker	boubaker	PROPN
cana-664	247	11	,	,	PUNCT
cana-664	247	12	"	"	PUNCT
cana-664	247	13	a	a	DET
cana-664	247	14	multi	multi	ADJ
cana-664	247	15	biometric	biometric	ADJ
cana-664	247	16	system	system	NOUN
cana-664	247	17	based	base	VERB
cana-664	247	18	on	on	ADP
cana-664	247	19	the	the	DET
cana-664	247	20	right	right	ADJ
cana-664	247	21	iris	iris	NOUN
cana-664	247	22	and	and	CCONJ
cana-664	247	23	the	the	DET
cana-664	247	24	left	left	ADJ
cana-664	247	25	iris	iris	NOUN
cana-664	247	26	using	use	VERB
cana-664	247	27	the	the	DET
cana-664	247	28	combination	combination	NOUN
cana-664	247	29	of	of	ADP
cana-664	247	30	convolutional	convolutional	ADJ
cana-664	247	31	neural	neural	ADJ
cana-664	247	32	networks	network	NOUN
cana-664	247	33	"	"	PUNCT
cana-664	247	34	,	,	PUNCT
cana-664	247	35	proc	proc	NOUN
cana-664	247	36	.	.	PUNCT
cana-664	248	1	4th	4th	ADJ
cana-664	248	2	int	int	PROPN
cana-664	248	3	.	.	PUNCT
cana-664	249	1	conf	conf	PROPN
cana-664	249	2	.	.	PUNCT
cana-664	250	1	intell	intell	PROPN
cana-664	250	2	.	.	PUNCT
cana-664	251	1	comput	comput	NOUN
cana-664	251	2	.	.	PUNCT
cana-664	252	1	data	data	PROPN
cana-664	252	2	sci	sci	PROPN
cana-664	252	3	.	.	PUNCT
cana-664	253	1	(	(	PUNCT
cana-664	253	2	icds	icds	PROPN
cana-664	253	3	)	)	PUNCT
cana-664	253	4	,	,	PUNCT
cana-664	253	5	pp	pp	ADJ
cana-664	253	6	.	.	PUNCT
cana-664	254	1	1	1	NUM
cana-664	254	2	-	-	SYM
cana-664	254	3	10	10	NUM
cana-664	254	4	,	,	PUNCT
cana-664	254	5	oct	oct	PROPN
cana-664	254	6	.	.	PROPN
cana-664	254	7	2020	2020	NUM
cana-664	254	8	.	.	PUNCT
cana-664	255	1	[	[	X
cana-664	255	2	12	12	NUM
cana-664	255	3	]	]	PUNCT
cana-664	255	4	m.	m.	NOUN
cana-664	255	5	ragab	ragab	PROPN
cana-664	255	6	,	,	PUNCT
cana-664	255	7	a.	a.	PROPN
cana-664	255	8	s.	s.	PROPN
cana-664	255	9	a.-m	a.-m	PROPN
cana-664	255	10	.	.	PUNCT
cana-664	256	1	al	al	PROPN
cana-664	256	2	-	-	PUNCT
cana-664	256	3	ghamdi	ghamdi	PROPN
cana-664	256	4	,	,	PUNCT
cana-664	256	5	b.	b.	PROPN
cana-664	256	6	fakieh	fakieh	PROPN
cana-664	256	7	,	,	PUNCT
cana-664	256	8	h.	h.	PROPN
cana-664	256	9	choudhry	choudhry	PROPN
cana-664	256	10	,	,	PUNCT
cana-664	256	11	r.	r.	PROPN
cana-664	256	12	f.	f.	PROPN
cana-664	256	13	mansour	mansour	PROPN
cana-664	256	14	and	and	CCONJ
cana-664	256	15	d.	d.	PROPN
cana-664	256	16	koundal	koundal	PROPN
cana-664	256	17	,	,	PUNCT
cana-664	256	18	"	"	PUNCT
cana-664	256	19	prediction	prediction	NOUN
cana-664	256	20	of	of	ADP
cana-664	256	21	diabetes	diabetes	NOUN
cana-664	256	22	through	through	ADP
cana-664	256	23	retinal	retinal	ADJ
cana-664	256	24	images	image	NOUN
cana-664	256	25	using	use	VERB
cana-664	256	26	deep	deep	ADJ
cana-664	256	27	neural	neural	ADJ
cana-664	256	28	network	network	NOUN
cana-664	256	29	"	"	PUNCT
cana-664	256	30	,	,	PUNCT
cana-664	256	31	comput	comput	PROPN
cana-664	256	32	.	.	PUNCT
cana-664	257	1	intell	intell	PROPN
cana-664	257	2	.	.	PUNCT
cana-664	258	1	neurosci	neurosci	PROPN
cana-664	258	2	.	.	PUNCT
cana-664	258	3	,	,	PUNCT
cana-664	258	4	vol	vol	NOUN
cana-664	258	5	.	.	PROPN
cana-664	258	6	2022	2022	NUM
cana-664	258	7	,	,	PUNCT
cana-664	258	8	pp	pp	ADJ
cana-664	258	9	.	.	PUNCT
cana-664	259	1	1	1	NUM
cana-664	259	2	-	-	SYM
cana-664	259	3	6	6	NUM
cana-664	259	4	,	,	PUNCT
cana-664	259	5	jun	jun	PROPN
cana-664	259	6	.	.	PROPN
cana-664	259	7	2022	2022	NUM
cana-664	259	8	.	.	PUNCT
cana-664	260	1	[	[	X
cana-664	260	2	13	13	NUM
cana-664	260	3	]	]	PUNCT
cana-664	260	4	m.	m.	NOUN
cana-664	260	5	szymkowski	szymkowski	PROPN
cana-664	260	6	,	,	PUNCT
cana-664	260	7	e.	e.	PROPN
cana-664	260	8	saeed	saeed	PROPN
cana-664	260	9	,	,	PUNCT
cana-664	260	10	m.	m.	NOUN
cana-664	260	11	omieljanowicz	omieljanowicz	PROPN
cana-664	260	12	,	,	PUNCT
cana-664	260	13	a.	a.	NOUN
cana-664	260	14	omieljanowicz	omieljanowicz	PROPN
cana-664	260	15	,	,	PUNCT
cana-664	260	16	k.	k.	PROPN
cana-664	260	17	saeed	saeed	PROPN
cana-664	260	18	and	and	CCONJ
cana-664	260	19	z.	z.	PROPN
cana-664	260	20	mariak	mariak	PROPN
cana-664	260	21	,	,	PUNCT
cana-664	260	22	"	"	PUNCT
cana-664	260	23	a	a	DET
cana-664	260	24	novelty	novelty	NOUN
cana-664	260	25	approach	approach	NOUN
cana-664	260	26	to	to	PART
cana-664	260	27	retina	retina	VERB
cana-664	260	28	diagnosing	diagnose	VERB
cana-664	260	29	using	use	VERB
cana-664	260	30	biometric	biometric	ADJ
cana-664	260	31	techniques	technique	NOUN
cana-664	260	32	with	with	ADP
cana-664	260	33	svm	svm	ADJ
cana-664	260	34	and	and	CCONJ
cana-664	260	35	clustering	clustering	ADJ
cana-664	260	36	algorithms	algorithm	NOUN
cana-664	260	37	"	"	PUNCT
cana-664	260	38	,	,	PUNCT
cana-664	260	39	ieee	ieee	NOUN
cana-664	260	40	access	access	NOUN
cana-664	260	41	,	,	PUNCT
cana-664	260	42	vol	vol	NOUN
cana-664	260	43	.	.	PROPN
cana-664	260	44	8	8	NUM
cana-664	260	45	,	,	PUNCT
cana-664	260	46	pp	pp	ADJ
cana-664	260	47	.	.	PUNCT
cana-664	260	48	125849	125849	NUM
cana-664	260	49	-	-	SYM
cana-664	260	50	125862	125862	NUM
cana-664	260	51	,	,	PUNCT
cana-664	260	52	2020	2020	NUM
cana-664	260	53	.	.	PUNCT
cana-664	261	1	[	[	X
cana-664	261	2	14	14	NUM
cana-664	261	3	]	]	PUNCT
cana-664	261	4	a.	a.	NOUN
cana-664	261	5	kumar	kumar	PROPN
cana-664	261	6	,	,	PUNCT
cana-664	261	7	s.	s.	PROPN
cana-664	261	8	jain	jain	PROPN
cana-664	261	9	and	and	CCONJ
cana-664	261	10	m.	m.	PROPN
cana-664	261	11	kumar	kumar	PROPN
cana-664	261	12	,	,	PUNCT
cana-664	261	13	"	"	PUNCT
cana-664	261	14	face	face	NOUN
cana-664	261	15	and	and	CCONJ
cana-664	261	16	gait	gait	ADJ
cana-664	261	17	biometrics	biometric	NOUN
cana-664	261	18	authentication	authentication	NOUN
cana-664	261	19	system	system	NOUN
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cana-664	261	21	on	on	ADP
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cana-664	261	23	deep	deep	ADJ
cana-664	261	24	neural	neural	ADJ
cana-664	261	25	networks	network	NOUN
cana-664	261	26	"	"	PUNCT
cana-664	261	27	,	,	PUNCT
cana-664	261	28	int	int	PROPN
cana-664	261	29	.	.	PUNCT
cana-664	262	1	j.	j.	PROPN
cana-664	262	2	inf	inf	PROPN
cana-664	262	3	.	.	PUNCT
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cana-664	262	5	.	.	PROPN
cana-664	262	6	,	,	PUNCT
cana-664	262	7	vol	vol	NOUN
cana-664	262	8	.	.	PROPN
cana-664	263	1	15	15	NUM
cana-664	263	2	,	,	PUNCT
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cana-664	263	4	.	.	NOUN
cana-664	263	5	2	2	NUM
cana-664	263	6	,	,	PUNCT
cana-664	263	7	pp	pp	ADJ
cana-664	263	8	.	.	PUNCT
cana-664	264	1	1005	1005	NUM
cana-664	264	2	-	-	SYM
cana-664	264	3	1014	1014	NUM
cana-664	264	4	,	,	PUNCT
cana-664	264	5	2023	2023	NUM
cana-664	264	6	.	.	PUNCT
cana-664	265	1	[	[	X
cana-664	265	2	15	15	NUM
cana-664	265	3	]	]	X
cana-664	265	4	f.	f.	PROPN
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cana-664	265	6	and	and	CCONJ
cana-664	265	7	g.	g.	PROPN
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cana-664	265	9	,	,	PUNCT
cana-664	265	10	"	"	PUNCT
cana-664	265	11	a	a	DET
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cana-664	265	13	survey	survey	NOUN
cana-664	265	14	of	of	ADP
cana-664	265	15	the	the	DET
cana-664	265	16	internet	internet	NOUN
cana-664	265	17	of	of	ADP
cana-664	265	18	things	thing	NOUN
cana-664	265	19	(	(	PUNCT
cana-664	265	20	iot	iot	NOUN
cana-664	265	21	)	)	PUNCT
cana-664	265	22	and	and	CCONJ
cana-664	265	23	ai	ai	NOUN
cana-664	265	24	-	-	PUNCT
cana-664	265	25	based	base	VERB
cana-664	265	26	smart	smart	ADJ
cana-664	265	27	healthcare	healthcare	NOUN
cana-664	265	28	"	"	PUNCT
cana-664	265	29	,	,	PUNCT
cana-664	265	30	ieee	ieee	NOUN
cana-664	265	31	access	access	NOUN
cana-664	265	32	,	,	PUNCT
cana-664	265	33	vol	vol	NOUN
cana-664	265	34	.	.	NOUN
cana-664	265	35	9	9	NUM
cana-664	265	36	,	,	PUNCT
cana-664	265	37	pp	pp	ADJ
cana-664	265	38	.	.	PUNCT
cana-664	266	1	3660	3660	NUM
cana-664	266	2	-	-	SYM
cana-664	266	3	3678	3678	NUM
cana-664	266	4	,	,	PUNCT
cana-664	266	5	2021	2021	NUM
cana-664	266	6	.	.	PUNCT
cana-664	267	1	[	[	X
cana-664	267	2	16	16	NUM
cana-664	267	3	]	]	X
cana-664	267	4	j.	j.	PROPN
cana-664	267	5	silvestre	silvestre	PROPN
cana-664	267	6	-	-	PUNCT
cana-664	267	7	blanes	blane	NOUN
cana-664	267	8	,	,	PUNCT
cana-664	267	9	v.	v.	CCONJ
cana-664	267	10	sempere	sempere	ADJ
cana-664	267	11	-	-	PUNCT
cana-664	267	12	payá	payá	ADJ
cana-664	267	13	and	and	CCONJ
cana-664	267	14	t.	t.	NOUN
cana-664	267	15	albero	albero	NOUN
cana-664	267	16	-	-	PUNCT
cana-664	267	17	albero	albero	NOUN
cana-664	267	18	,	,	PUNCT
cana-664	267	19	"	"	PUNCT
cana-664	267	20	smart	smart	ADJ
cana-664	267	21	sensor	sensor	NOUN
cana-664	267	22	architectures	architecture	NOUN
cana-664	267	23	for	for	ADP
cana-664	267	24	multimedia	multimedia	NOUN
cana-664	267	25	sensing	sensing	NOUN
cana-664	267	26	in	in	ADP
cana-664	267	27	iomt	iomt	PROPN
cana-664	267	28	"	"	PUNCT
cana-664	267	29	,	,	PUNCT
cana-664	267	30	sensors	sensor	NOUN
cana-664	267	31	,	,	PUNCT
cana-664	267	32	vol	vol	NOUN
cana-664	267	33	.	.	PROPN
cana-664	267	34	20	20	NUM
cana-664	267	35	,	,	PUNCT
cana-664	267	36	no	no	INTJ
cana-664	267	37	.	.	NOUN
cana-664	267	38	5	5	NUM
cana-664	267	39	,	,	PUNCT
cana-664	267	40	pp	pp	ADJ
cana-664	267	41	.	.	PROPN
cana-664	268	1	1400	1400	NUM
cana-664	268	2	,	,	PUNCT
cana-664	268	3	mar	mar	PROPN
cana-664	268	4	.	.	PROPN
cana-664	268	5	2020	2020	NUM
cana-664	268	6	.	.	PUNCT
cana-664	269	1	[	[	X
cana-664	269	2	17	17	NUM
cana-664	269	3	]	]	X
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cana-664	269	5	n.	n.	PROPN
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cana-664	269	8	prashantkhobragade	prashantkhobragade	NOUN
cana-664	269	9	,	,	PUNCT
cana-664	269	10	pratibha	pratibha	NOUN
cana-664	269	11	vijay	vijay	PROPN
cana-664	269	12	jadhav	jadhav	PROPN
cana-664	269	13	,	,	PUNCT
cana-664	269	14	rupaliatulmahajan	rupaliatulmahajan	PROPN
cana-664	269	15	,	,	PUNCT
cana-664	269	16	bireshwarganguly	bireshwarganguly	PROPN
cana-664	269	17	,	,	PUNCT
cana-664	269	18	namitaparati	namitaparati	NOUN
cana-664	269	19	,	,	PUNCT
cana-664	269	20	“	"	PUNCT
cana-664	269	21	frontiers	frontier	NOUN
cana-664	269	22	of	of	ADP
cana-664	269	23	computing	compute	VERB
cana-664	269	24	evolutionary	evolutionary	ADJ
cana-664	269	25	trends	trend	NOUN
cana-664	269	26	and	and	CCONJ
cana-664	269	27	cutting	cutting	NOUN
cana-664	269	28	-	-	PUNCT
cana-664	269	29	edge	edge	NOUN
cana-664	269	30	technologies	technology	NOUN
cana-664	269	31	in	in	ADP
cana-664	269	32	computer	computer	NOUN
cana-664	269	33	science	science	NOUN
cana-664	269	34	and	and	CCONJ
cana-664	269	35	next	next	ADJ
cana-664	269	36	generation	generation	NOUN
cana-664	269	37	application	application	NOUN
cana-664	269	38	”	"	PUNCT
cana-664	269	39	,	,	PUNCT
cana-664	269	40	journal	journal	NOUN
cana-664	269	41	of	of	ADP
cana-664	269	42	electrical	electrical	ADJ
cana-664	269	43	systems	system	NOUN
cana-664	269	44	,	,	PUNCT
cana-664	269	45	vol	vol	NOUN
cana-664	269	46	.	.	PROPN
cana-664	269	47	20	20	NUM
cana-664	269	48	no	no	NOUN
cana-664	269	49	.	.	PUNCT
cana-664	270	1	1s	1s	NUM
cana-664	270	2	,	,	PUNCT
cana-664	270	3	2024	2024	NUM
cana-664	270	4	,	,	PUNCT
cana-664	270	5	https://doi.org/10.52783/jes.750	https://doi.org/10.52783/jes.750	PROPN
cana-664	270	6	https://doi.org/10.52783/jes.750	https://doi.org/10.52783/jes.750	PROPN
cana-664	270	7	communications	communication	NOUN
cana-664	270	8	on	on	ADP
cana-664	270	9	applied	apply	VERB
cana-664	270	10	nonlinear	nonlinear	ADJ
cana-664	270	11	analysis	analysis	NOUN
cana-664	270	12	issn	issn	NOUN
cana-664	270	13	:	:	PUNCT
cana-664	270	14	1074	1074	NUM
cana-664	270	15	-	-	PUNCT
cana-664	270	16	133x	133x	NUM
cana-664	270	17	vol	vol	NOUN
cana-664	270	18	31	31	NUM
cana-664	270	19	no	no	NOUN
cana-664	270	20	.	.	PUNCT
cana-664	271	1	2s	2s	NUM
cana-664	271	2	(	(	PUNCT
cana-664	271	3	2024	2024	NUM
cana-664	271	4	)	)	PUNCT
cana-664	271	5	531	531	NUM
cana-664	271	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-664	272	1	[	[	X
cana-664	272	2	18	18	NUM
cana-664	272	3	]	]	X
cana-664	272	4	f.	f.	PROPN
cana-664	272	5	pelekoudas	pelekoudas	PROPN
cana-664	272	6	-	-	PUNCT
cana-664	272	7	oikonomou	oikonomou	ADJ
cana-664	272	8	,	,	PUNCT
cana-664	272	9	g.	g.	PROPN
cana-664	272	10	zachos	zachos	PROPN
cana-664	272	11	,	,	PUNCT
cana-664	272	12	m.	m.	NOUN
cana-664	272	13	papaioannou	papaioannou	PROPN
cana-664	272	14	,	,	PUNCT
cana-664	272	15	m.	m.	NOUN
cana-664	272	16	de	de	X
cana-664	272	17	ree	ree	PROPN
cana-664	272	18	,	,	PUNCT
cana-664	272	19	j.	j.	PROPN
cana-664	272	20	c.	c.	PROPN
cana-664	272	21	ribeiro	ribeiro	PROPN
cana-664	272	22	,	,	PUNCT
cana-664	272	23	g.	g.	PROPN
cana-664	272	24	mantas	mantas	PROPN
cana-664	272	25	,	,	PUNCT
cana-664	272	26	et	et	PROPN
cana-664	272	27	al	al	PROPN
cana-664	272	28	.	.	PROPN
cana-664	272	29	,	,	PUNCT
cana-664	272	30	"	"	PUNCT
cana-664	272	31	blockchainbased	blockchainbase	VERB
cana-664	272	32	security	security	NOUN
cana-664	272	33	mechanisms	mechanism	NOUN
cana-664	272	34	for	for	ADP
cana-664	272	35	iomt	iomt	ADJ
cana-664	272	36	edge	edge	NOUN
cana-664	272	37	networks	network	NOUN
cana-664	272	38	in	in	ADP
cana-664	272	39	iomt	iomt	NOUN
cana-664	272	40	-	-	PUNCT
cana-664	272	41	based	base	VERB
cana-664	272	42	healthcare	healthcare	NOUN
cana-664	272	43	monitoring	monitoring	NOUN
cana-664	272	44	systems	system	NOUN
cana-664	272	45	"	"	PUNCT
cana-664	272	46	,	,	PUNCT
cana-664	272	47	sensors	sensor	NOUN
cana-664	272	48	,	,	PUNCT
cana-664	272	49	vol	vol	NOUN
cana-664	272	50	.	.	PROPN
cana-664	273	1	22	22	NUM
cana-664	273	2	,	,	PUNCT
cana-664	273	3	no	no	INTJ
cana-664	273	4	.	.	NOUN
cana-664	273	5	7	7	NUM
cana-664	273	6	,	,	PUNCT
cana-664	273	7	pp	pp	ADJ
cana-664	273	8	.	.	PUNCT
cana-664	273	9	2449	2449	NUM
cana-664	273	10	,	,	PUNCT
cana-664	273	11	mar	mar	PROPN
cana-664	273	12	.	.	PROPN
cana-664	273	13	2022	2022	NUM
cana-664	273	14	.	.	PUNCT
cana-664	274	1	[	[	X
cana-664	274	2	19	19	NUM
cana-664	274	3	]	]	X
cana-664	274	4	t.	t.	PROPN
cana-664	274	5	adenaiye	adenaiye	PROPN
cana-664	274	6	,	,	PUNCT
cana-664	274	7	w.	w.	PROPN
cana-664	274	8	bul’ajoul	bul’ajoul	PROPN
cana-664	274	9	and	and	CCONJ
cana-664	274	10	f.	f.	PROPN
cana-664	274	11	olajide	olajide	PROPN
cana-664	274	12	,	,	PUNCT
cana-664	274	13	"	"	PUNCT
cana-664	274	14	security	security	NOUN
cana-664	274	15	performance	performance	NOUN
cana-664	274	16	of	of	ADP
cana-664	274	17	internet	internet	NOUN
cana-664	274	18	of	of	ADP
cana-664	274	19	medical	medical	ADJ
cana-664	274	20	things	thing	NOUN
cana-664	274	21	"	"	PUNCT
cana-664	274	22	,	,	PUNCT
cana-664	274	23	adv	adv	PROPN
cana-664	274	24	.	.	PUNCT
cana-664	274	25	netw	netw	PROPN
cana-664	274	26	.	.	PUNCT
cana-664	274	27	,	,	PUNCT
cana-664	274	28	vol	vol	NOUN
cana-664	274	29	.	.	PROPN
cana-664	274	30	9	9	NUM
cana-664	274	31	,	,	PUNCT
cana-664	274	32	no	no	INTJ
cana-664	274	33	.	.	NOUN
cana-664	274	34	1	1	NUM
cana-664	274	35	,	,	PUNCT
cana-664	274	36	pp	pp	ADJ
cana-664	274	37	.	.	NOUN
cana-664	274	38	1	1	NUM
cana-664	274	39	,	,	PUNCT
cana-664	274	40	2021	2021	NUM
cana-664	274	41	.	.	PUNCT
cana-664	275	1	[	[	X
cana-664	275	2	20	20	NUM
cana-664	275	3	]	]	PUNCT
cana-664	275	4	s.	s.	PROPN
cana-664	275	5	sulfi	sulfi	PROPN
cana-664	275	6	and	and	CCONJ
cana-664	275	7	n.	n.	PROPN
cana-664	275	8	r.	r.	PROPN
cana-664	275	9	n.	n.	PROPN
cana-664	275	10	r.	r.	PROPN
cana-664	275	11	,	,	PUNCT
cana-664	275	12	"	"	PUNCT
cana-664	275	13	a	a	DET
cana-664	275	14	secure	secure	ADJ
cana-664	275	15	watermarking	watermarking	NOUN
cana-664	275	16	based	base	VERB
cana-664	275	17	image	image	NOUN
cana-664	275	18	integrity	integrity	NOUN
cana-664	275	19	verification	verification	NOUN
cana-664	275	20	in	in	ADP
cana-664	275	21	iomt	iomt	NOUN
cana-664	275	22	,	,	PUNCT
cana-664	275	23	"	"	PUNCT
cana-664	275	24	2023	2023	NUM
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cana-664	275	26	conference	conference	NOUN
cana-664	275	27	on	on	ADP
cana-664	275	28	computing	computing	NOUN
cana-664	275	29	,	,	PUNCT
cana-664	275	30	communication	communication	NOUN
cana-664	275	31	,	,	PUNCT
cana-664	275	32	and	and	CCONJ
cana-664	275	33	intelligent	intelligent	ADJ
cana-664	275	34	systems	system	NOUN
cana-664	275	35	(	(	PUNCT
cana-664	275	36	icccis	icccis	NOUN
cana-664	275	37	)	)	PUNCT
cana-664	275	38	,	,	PUNCT
cana-664	275	39	greater	great	ADJ
cana-664	275	40	noida	noida	PROPN
cana-664	275	41	,	,	PUNCT
cana-664	275	42	india	india	PROPN
cana-664	275	43	,	,	PUNCT
cana-664	275	44	2023	2023	NUM
cana-664	275	45	,	,	PUNCT
cana-664	275	46	pp	pp	ADJ
cana-664	275	47	.	.	PUNCT
cana-664	276	1	173	173	NUM
cana-664	276	2	-	-	SYM
cana-664	276	3	180	180	NUM
cana-664	276	4	,	,	PUNCT
cana-664	276	5	doi	doi	NOUN
cana-664	276	6	:	:	PUNCT
cana-664	276	7	10.1109	10.1109	NUM
cana-664	276	8	/	/	SYM
cana-664	277	1	icccis60361.2023.10425401	icccis60361.2023.10425401	NUM
cana-664	278	1	[	[	X
cana-664	278	2	21	21	NUM
cana-664	278	3	]	]	PUNCT
cana-664	278	4	k.	k.	PROPN
cana-664	278	5	muthulakshmi	muthulakshmi	PROPN
cana-664	278	6	,	,	PUNCT
cana-664	278	7	s.	s.	PROPN
cana-664	278	8	k	k	PROPN
cana-664	278	9	,	,	PUNCT
cana-664	278	10	y.	y.	PROPN
cana-664	278	11	d.	d.	PROPN
cana-664	278	12	r.c	r.c	PROPN
cana-664	278	13	and	and	CCONJ
cana-664	278	14	t.	t.	PROPN
cana-664	278	15	r	r	PROPN
cana-664	278	16	,	,	PUNCT
cana-664	278	17	"	"	PUNCT
cana-664	278	18	a	a	DET
cana-664	278	19	safe	safe	ADJ
cana-664	278	20	and	and	CCONJ
cana-664	278	21	reliable	reliable	ADJ
cana-664	278	22	identity	identity	NOUN
cana-664	278	23	based	base	VERB
cana-664	278	24	healthcare	healthcare	NOUN
cana-664	278	25	system	system	NOUN
cana-664	278	26	,	,	PUNCT
cana-664	278	27	"	"	PUNCT
cana-664	278	28	2023	2023	NUM
cana-664	278	29	7th	7th	ADJ
cana-664	278	30	international	international	ADJ
cana-664	278	31	conference	conference	NOUN
cana-664	278	32	on	on	ADP
cana-664	278	33	electronics	electronic	NOUN
cana-664	278	34	,	,	PUNCT
cana-664	278	35	communication	communication	NOUN
cana-664	278	36	and	and	CCONJ
cana-664	278	37	aerospace	aerospace	NOUN
cana-664	278	38	technology	technology	NOUN
cana-664	278	39	(	(	PUNCT
cana-664	278	40	iceca	iceca	NOUN
cana-664	278	41	)	)	PUNCT
cana-664	278	42	,	,	PUNCT
cana-664	278	43	coimbatore	coimbatore	PROPN
cana-664	278	44	,	,	PUNCT
cana-664	278	45	india	india	PROPN
cana-664	278	46	,	,	PUNCT
cana-664	278	47	2023	2023	NUM
cana-664	278	48	,	,	PUNCT
cana-664	278	49	pp	pp	ADV
cana-664	278	50	.	.	PUNCT
cana-664	278	51	1430	1430	NUM
cana-664	278	52	-	-	SYM
cana-664	278	53	1438	1438	NUM
cana-664	278	54	,	,	PUNCT
cana-664	278	55	doi	doi	NOUN
cana-664	278	56	:	:	PUNCT
cana-664	278	57	10.1109	10.1109	NUM
cana-664	278	58	/	/	SYM
cana-664	278	59	iceca58529.2023.10395540	iceca58529.2023.10395540	NOUN
cana-664	278	60	.	.	PUNCT
cana-664	279	1	[	[	X
cana-664	279	2	22	22	NUM
cana-664	279	3	]	]	PUNCT
cana-664	279	4	p.	p.	PROPN
cana-664	279	5	xu	xu	PROPN
cana-664	279	6	,	,	PUNCT
cana-664	279	7	t.	t.	PROPN
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cana-664	279	9	,	,	PUNCT
cana-664	279	10	q.	q.	PROPN
cana-664	279	11	wu	wu	PROPN
cana-664	279	12	,	,	PUNCT
cana-664	279	13	w.	w.	PROPN
cana-664	279	14	wang	wang	PROPN
cana-664	279	15	and	and	CCONJ
cana-664	279	16	h.	h.	PROPN
cana-664	279	17	jin	jin	PROPN
cana-664	279	18	,	,	PUNCT
cana-664	279	19	"	"	PUNCT
cana-664	279	20	conditional	conditional	ADJ
cana-664	279	21	identitybased	identitybase	VERB
cana-664	279	22	broadcast	broadcast	NOUN
cana-664	279	23	proxy	proxy	NOUN
cana-664	279	24	re	re	NOUN
cana-664	279	25	-	-	NOUN
cana-664	279	26	encryption	encryption	NOUN
cana-664	279	27	and	and	CCONJ
cana-664	279	28	its	its	PRON
cana-664	279	29	application	application	NOUN
cana-664	279	30	to	to	ADP
cana-664	279	31	cloud	cloud	NOUN
cana-664	279	32	email	email	NOUN
cana-664	279	33	"	"	PUNCT
cana-664	279	34	,	,	PUNCT
cana-664	279	35	ieeetrans	ieeetran	NOUN
cana-664	279	36	.	.	PUNCT
cana-664	280	1	computing	compute	VERB
cana-664	280	2	.	.	PUNCT
cana-664	281	1	,	,	PUNCT
cana-664	281	2	vol	vol	NOUN
cana-664	281	3	.	.	PROPN
cana-664	282	1	65	65	NUM
cana-664	282	2	,	,	PUNCT
cana-664	282	3	no	no	INTJ
cana-664	282	4	.	.	NOUN
cana-664	282	5	1	1	NUM
cana-664	282	6	,	,	PUNCT
cana-664	282	7	pp	pp	ADJ
cana-664	282	8	.	.	PUNCT
cana-664	283	1	66	66	NUM
cana-664	283	2	-	-	SYM
cana-664	283	3	79	79	NUM
cana-664	283	4	,	,	PUNCT
cana-664	283	5	2016	2016	NUM
cana-664	283	6	.	.	PUNCT
cana-664	284	1	[	[	X
cana-664	284	2	23	23	NUM
cana-664	284	3	]	]	X
cana-664	284	4	l.	l.	PROPN
cana-664	284	5	khriji	khriji	PROPN
cana-664	284	6	,	,	PUNCT
cana-664	284	7	s.	s.	PROPN
cana-664	284	8	messaoud	messaoud	PROPN
cana-664	284	9	,	,	PUNCT
cana-664	284	10	s.	s.	PROPN
cana-664	284	11	bouaafia	bouaafia	PROPN
cana-664	284	12	,	,	PUNCT
cana-664	284	13	a.	a.	PROPN
cana-664	284	14	c.	c.	PROPN
cana-664	284	15	ammari	ammari	PROPN
cana-664	284	16	and	and	CCONJ
cana-664	284	17	m.	m.	NOUN
cana-664	284	18	machhout	machhout	NOUN
cana-664	284	19	,	,	PUNCT
cana-664	284	20	"	"	PUNCT
cana-664	284	21	enhanced	enhance	VERB
cana-664	284	22	cnn	cnn	PROPN
cana-664	284	23	security	security	NOUN
cana-664	284	24	based	base	VERB
cana-664	284	25	on	on	ADP
cana-664	284	26	adversarial	adversarial	ADJ
cana-664	284	27	fgsm	fgsm	NOUN
cana-664	284	28	attack	attack	NOUN
cana-664	284	29	learning	learning	PROPN
cana-664	284	30	:	:	PUNCT
cana-664	284	31	medical	medical	ADJ
cana-664	284	32	image	image	NOUN
cana-664	284	33	classification	classification	NOUN
cana-664	284	34	,	,	PUNCT
cana-664	284	35	"	"	PUNCT
cana-664	284	36	2023	2023	NUM
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cana-664	284	38	international	international	ADJ
cana-664	284	39	multi	multi	NOUN
cana-664	284	40	-	-	NOUN
cana-664	284	41	conference	conference	NOUN
cana-664	284	42	on	on	ADP
cana-664	284	43	systems	system	NOUN
cana-664	284	44	,	,	PUNCT
cana-664	284	45	signals	signal	NOUN
cana-664	284	46	&	&	CCONJ
cana-664	284	47	devices	devices	PROPN
cana-664	284	48	(	(	PUNCT
cana-664	284	49	ssd	ssd	NOUN
cana-664	284	50	)	)	PUNCT
cana-664	284	51	,	,	PUNCT
cana-664	284	52	mahdia	mahdia	PROPN
cana-664	284	53	,	,	PUNCT
cana-664	284	54	tunisia	tunisia	NOUN
cana-664	284	55	,	,	PUNCT
cana-664	284	56	2023	2023	NUM
cana-664	284	57	,	,	PUNCT
cana-664	284	58	pp	pp	ADJ
cana-664	284	59	.	.	PUNCT
cana-664	285	1	360	360	NUM
cana-664	285	2	-	-	SYM
cana-664	285	3	365	365	NUM
cana-664	285	4	,	,	PUNCT
cana-664	285	5	doi	doi	NOUN
cana-664	285	6	:	:	PUNCT
cana-664	285	7	10.1109	10.1109	NUM
cana-664	285	8	/	/	SYM
cana-664	285	9	ssd58187.2023.10411241	ssd58187.2023.10411241	NOUN
cana-664	285	10	.	.	PUNCT
cana-664	286	1	[	[	X
cana-664	286	2	24	24	NUM
cana-664	286	3	]	]	PUNCT
cana-664	286	4	a.	a.	NOUN
cana-664	286	5	shankar	shankar	PROPN
cana-664	286	6	and	and	CCONJ
cana-664	286	7	j.	j.	PROPN
cana-664	286	8	saranya	saranya	PROPN
cana-664	286	9	,	,	PUNCT
cana-664	286	10	"	"	PUNCT
cana-664	286	11	a	a	DET
cana-664	286	12	robust	robust	ADJ
cana-664	286	13	method	method	NOUN
cana-664	286	14	of	of	ADP
cana-664	286	15	hiding	hide	VERB
cana-664	286	16	patient	patient	ADJ
cana-664	286	17	secret	secret	ADJ
cana-664	286	18	data	datum	NOUN
cana-664	286	19	using	use	VERB
cana-664	286	20	hybridization	hybridization	NOUN
cana-664	286	21	of	of	ADP
cana-664	286	22	hyperchaotic	hyperchaotic	ADJ
cana-664	286	23	system	system	NOUN
cana-664	286	24	with	with	ADP
cana-664	286	25	lsb	lsb	PROPN
cana-664	286	26	based	base	VERB
cana-664	286	27	encryption	encryption	NOUN
cana-664	286	28	for	for	ADP
cana-664	286	29	medical	medical	ADJ
cana-664	286	30	image	image	NOUN
cana-664	286	31	,	,	PUNCT
cana-664	286	32	"	"	PUNCT
cana-664	286	33	2023	2023	NUM
cana-664	286	34	international	international	ADJ
cana-664	286	35	conference	conference	NOUN
cana-664	286	36	on	on	ADP
cana-664	286	37	system	system	NOUN
cana-664	286	38	,	,	PUNCT
cana-664	286	39	computation	computation	NOUN
cana-664	286	40	,	,	PUNCT
cana-664	286	41	automation	automation	NOUN
cana-664	286	42	and	and	CCONJ
cana-664	286	43	networking	networking	NOUN
cana-664	286	44	(	(	PUNCT
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cana-664	286	46	)	)	PUNCT
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