id	sid	tid	token	lemma	pos
cana-5234	1	1	communications	communication	NOUN
cana-5234	1	2	on	on	ADP
cana-5234	1	3	applied	apply	VERB
cana-5234	1	4	nonlinear	nonlinear	ADJ
cana-5234	1	5	analysis	analysis	NOUN
cana-5234	1	6	issn	issn	NOUN
cana-5234	1	7	:	:	PUNCT
cana-5234	1	8	1074	1074	NUM
cana-5234	1	9	-	-	PUNCT
cana-5234	1	10	133x	133x	NUM
cana-5234	1	11	vol	vol	VERB
cana-5234	1	12	32	32	NUM
cana-5234	1	13	no	no	NOUN
cana-5234	1	14	.	.	PUNCT
cana-5234	2	1	10s	10	NOUN
cana-5234	2	2	(	(	PUNCT
cana-5234	2	3	2025	2025	NUM
cana-5234	2	4	)	)	PUNCT
cana-5234	2	5	1307	1307	NUM
cana-5234	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5234	2	7	using	use	VERB
cana-5234	2	8	multi	multi	ADJ
cana-5234	2	9	-	-	ADJ
cana-5234	2	10	scale	scale	ADJ
cana-5234	2	11	features	feature	NOUN
cana-5234	2	12	,	,	PUNCT
cana-5234	2	13	hierarchical	hierarchical	ADJ
cana-5234	2	14	and	and	CCONJ
cana-5234	2	15	contour	contour	NOUN
cana-5234	2	16	covid	covid	NOUN
cana-5234	2	17	bodies	body	NOUN
cana-5234	2	18	can	can	AUX
cana-5234	2	19	be	be	AUX
cana-5234	2	20	extracted	extract	VERB
cana-5234	2	21	from	from	ADP
cana-5234	2	22	bioinformatics	bioinformatics	NOUN
cana-5234	2	23	images	image	NOUN
cana-5234	2	24	r	r	NOUN
cana-5234	2	25	ashok	ashok	NOUN
cana-5234	2	26	kumar1	kumar1	PROPN
cana-5234	2	27	,	,	PUNCT
cana-5234	2	28	shaheda	shaheda	NOUN
cana-5234	2	29	akthar2	akthar2	NOUN
cana-5234	2	30	1	1	NUM
cana-5234	2	31	research	research	NOUN
cana-5234	2	32	scholar	scholar	NOUN
cana-5234	2	33	,	,	PUNCT
cana-5234	2	34	dept	dept	NOUN
cana-5234	2	35	.	.	PROPN
cana-5234	2	36	of	of	ADP
cana-5234	2	37	cse	cse	PROPN
cana-5234	2	38	,	,	PUNCT
cana-5234	2	39	acharya	acharya	PROPN
cana-5234	2	40	nagarjuna	nagarjuna	PROPN
cana-5234	2	41	university	university	PROPN
cana-5234	2	42	,	,	PUNCT
cana-5234	2	43	guntur	guntur	PROPN
cana-5234	2	44	,	,	PUNCT
cana-5234	2	45	ap	ap	PROPN
cana-5234	2	46	&	&	CCONJ
cana-5234	2	47	lecturer	lecturer	NOUN
cana-5234	2	48	in	in	ADP
cana-5234	2	49	computer	computer	NOUN
cana-5234	2	50	science	science	NOUN
cana-5234	2	51	,	,	PUNCT
cana-5234	2	52	scim	scim	PROPN
cana-5234	2	53	government	government	PROPN
cana-5234	2	54	college	college	PROPN
cana-5234	2	55	(	(	PUNCT
cana-5234	2	56	a	a	NOUN
cana-5234	2	57	)	)	PUNCT
cana-5234	2	58	,	,	PUNCT
cana-5234	2	59	tanuku	tanuku	PROPN
cana-5234	2	60	,	,	PUNCT
cana-5234	2	61	west	west	PROPN
cana-5234	2	62	godavari	godavari	PROPN
cana-5234	2	63	,	,	PUNCT
cana-5234	2	64	ap	ap	PROPN
cana-5234	2	65	,	,	PUNCT
cana-5234	2	66	india	india	PROPN
cana-5234	2	67	2	2	NUM
cana-5234	2	68	dr	dr	PROPN
cana-5234	2	69	.	.	PROPN
cana-5234	2	70	shaheda	shaheda	PROPN
cana-5234	2	71	akthar	akthar	PROPN
cana-5234	2	72	,	,	PUNCT
cana-5234	2	73	lecturer	lecturer	NOUN
cana-5234	2	74	in	in	ADP
cana-5234	2	75	computer	computer	NOUN
cana-5234	2	76	science	science	NOUN
cana-5234	2	77	,	,	PUNCT
cana-5234	2	78	government	government	NOUN
cana-5234	2	79	college	college	NOUN
cana-5234	2	80	for	for	ADP
cana-5234	2	81	women	woman	NOUN
cana-5234	2	82	(	(	PUNCT
cana-5234	2	83	a	a	X
cana-5234	2	84	)	)	PUNCT
cana-5234	2	85	,	,	PUNCT
cana-5234	2	86	guntur	guntur	PROPN
cana-5234	2	87	&	&	CCONJ
cana-5234	2	88	research	research	PROPN
cana-5234	2	89	supervisor	supervisor	NOUN
cana-5234	2	90	,	,	PUNCT
cana-5234	2	91	dept	dept	NOUN
cana-5234	2	92	.	.	PROPN
cana-5234	2	93	of	of	ADP
cana-5234	2	94	cse	cse	PROPN
cana-5234	2	95	,	,	PUNCT
cana-5234	2	96	acharya	acharya	PROPN
cana-5234	2	97	nagarjuna	nagarjuna	PROPN
cana-5234	2	98	university	university	PROPN
cana-5234	2	99	,	,	PUNCT
cana-5234	2	100	guntur	guntur	PROPN
cana-5234	2	101	,	,	PUNCT
cana-5234	2	102	ap	ap	PROPN
cana-5234	2	103	article	article	NOUN
cana-5234	2	104	history	history	NOUN
cana-5234	2	105	:	:	PUNCT
cana-5234	2	106	received	receive	VERB
cana-5234	2	107	:	:	PUNCT
cana-5234	2	108	12	12	NUM
cana-5234	2	109	-	-	SYM
cana-5234	2	110	01	01	NUM
cana-5234	2	111	-	-	PUNCT
cana-5234	2	112	2025	2025	NUM
cana-5234	2	113	revised	revise	VERB
cana-5234	2	114	:	:	PUNCT
cana-5234	2	115	15	15	NUM
cana-5234	2	116	-	-	NUM
cana-5234	2	117	02	02	NUM
cana-5234	2	118	-	-	PUNCT
cana-5234	2	119	2025	2025	NUM
cana-5234	2	120	accepted	accept	VERB
cana-5234	2	121	:	:	PUNCT
cana-5234	2	122	01	01	NUM
cana-5234	2	123	-	-	SYM
cana-5234	2	124	03	03	NUM
cana-5234	2	125	-	-	PUNCT
cana-5234	2	126	2025	2025	NUM
cana-5234	2	127	abstract	abstract	NOUN
cana-5234	2	128	:	:	PUNCT
cana-5234	2	129	the	the	DET
cana-5234	2	130	primary	primary	ADJ
cana-5234	2	131	objective	objective	NOUN
cana-5234	2	132	of	of	ADP
cana-5234	2	133	processing	processing	NOUN
cana-5234	2	134	and	and	CCONJ
cana-5234	2	135	analyzing	analyze	VERB
cana-5234	2	136	medical	medical	ADJ
cana-5234	2	137	covid	covid	PROPN
cana-5234	2	138	images	image	NOUN
cana-5234	2	139	is	be	AUX
cana-5234	2	140	to	to	PART
cana-5234	2	141	effectively	effectively	ADV
cana-5234	2	142	extract	extract	VERB
cana-5234	2	143	covid	covid	PROPN
cana-5234	2	144	body	body	NOUN
cana-5234	2	145	features	feature	VERB
cana-5234	2	146	from	from	ADP
cana-5234	2	147	objects	object	NOUN
cana-5234	2	148	in	in	ADP
cana-5234	2	149	the	the	DET
cana-5234	2	150	images	image	NOUN
cana-5234	2	151	,	,	PUNCT
cana-5234	2	152	and	and	CCONJ
cana-5234	2	153	a	a	DET
cana-5234	2	154	crucial	crucial	ADJ
cana-5234	2	155	part	part	NOUN
cana-5234	2	156	of	of	ADP
cana-5234	2	157	this	this	DET
cana-5234	2	158	process	process	NOUN
cana-5234	2	159	is	be	AUX
cana-5234	2	160	segmenting	segment	VERB
cana-5234	2	161	the	the	DET
cana-5234	2	162	bodies	body	NOUN
cana-5234	2	163	in	in	ADP
cana-5234	2	164	the	the	DET
cana-5234	2	165	images	image	NOUN
cana-5234	2	166	.	.	PUNCT
cana-5234	3	1	allocation	allocation	NOUN
cana-5234	3	2	of	of	ADP
cana-5234	3	3	covid	covid	PROPN
cana-5234	3	4	resources	resource	NOUN
cana-5234	3	5	,	,	PUNCT
cana-5234	3	6	evaluation	evaluation	NOUN
cana-5234	3	7	of	of	ADP
cana-5234	3	8	ecological	ecological	ADJ
cana-5234	3	9	services	service	NOUN
cana-5234	3	10	,	,	PUNCT
cana-5234	3	11	protection	protection	NOUN
cana-5234	3	12	of	of	ADP
cana-5234	3	13	covid	covid	PROPN
cana-5234	3	14	resources	resource	NOUN
cana-5234	3	15	monitoring	monitor	VERB
cana-5234	3	16	system	system	NOUN
cana-5234	3	17	,	,	PUNCT
cana-5234	3	18	and	and	CCONJ
cana-5234	3	19	identification	identification	NOUN
cana-5234	3	20	of	of	ADP
cana-5234	3	21	flood	flood	NOUN
cana-5234	3	22	disaster	disaster	NOUN
cana-5234	3	23	applications	application	NOUN
cana-5234	3	24	are	be	AUX
cana-5234	3	25	all	all	PRON
cana-5234	3	26	examples	example	NOUN
cana-5234	3	27	of	of	ADP
cana-5234	3	28	real	real	ADJ
cana-5234	3	29	-	-	PUNCT
cana-5234	3	30	time	time	NOUN
cana-5234	3	31	uses	use	NOUN
cana-5234	3	32	for	for	ADP
cana-5234	3	33	this	this	DET
cana-5234	3	34	fundamental	fundamental	ADJ
cana-5234	3	35	activity	activity	NOUN
cana-5234	3	36	.	.	PUNCT
cana-5234	4	1	randomly	randomly	ADV
cana-5234	4	2	extracting	extract	VERB
cana-5234	4	3	covid	covid	NOUN
cana-5234	4	4	bodies	body	NOUN
cana-5234	4	5	sfrom	sfrom	VERB
cana-5234	4	6	medical	medical	ADJ
cana-5234	4	7	covid	covid	PROPN
cana-5234	4	8	images	image	NOUN
cana-5234	4	9	is	be	AUX
cana-5234	4	10	a	a	DET
cana-5234	4	11	new	new	ADJ
cana-5234	4	12	challenge	challenge	NOUN
cana-5234	4	13	for	for	ADP
cana-5234	4	14	image	image	NOUN
cana-5234	4	15	and	and	CCONJ
cana-5234	4	16	covid	covid	PROPN
cana-5234	4	17	interpretation	interpretation	NOUN
cana-5234	4	18	.	.	PUNCT
cana-5234	5	1	several	several	ADJ
cana-5234	5	2	covid	covid	PROPN
cana-5234	5	3	applications	application	NOUN
cana-5234	5	4	have	have	AUX
cana-5234	5	5	shown	show	VERB
cana-5234	5	6	promise	promise	NOUN
cana-5234	5	7	in	in	ADP
cana-5234	5	8	using	use	VERB
cana-5234	5	9	convolutional	convolutional	ADJ
cana-5234	5	10	neural	neural	ADJ
cana-5234	5	11	networks	network	NOUN
cana-5234	5	12	(	(	PUNCT
cana-5234	5	13	cnn	cnn	PROPN
cana-5234	5	14	)	)	PUNCT
cana-5234	5	15	to	to	PART
cana-5234	5	16	process	process	VERB
cana-5234	5	17	this	this	DET
cana-5234	5	18	task	task	NOUN
cana-5234	5	19	efficiently	efficiently	ADV
cana-5234	5	20	.	.	PUNCT
cana-5234	6	1	for	for	ADP
cana-5234	6	2	effective	effective	ADJ
cana-5234	6	3	covid	covid	PROPN
cana-5234	6	4	segmentation	segmentation	NOUN
cana-5234	6	5	from	from	ADP
cana-5234	6	6	bioinformatics	bioinformatics	NOUN
cana-5234	6	7	covid-19	covid-19	PROPN
cana-5234	6	8	pictures	picture	NOUN
cana-5234	6	9	,	,	PUNCT
cana-5234	6	10	several	several	ADJ
cana-5234	6	11	cnn	cnn	PROPN
cana-5234	6	12	-	-	PUNCT
cana-5234	6	13	based	base	VERB
cana-5234	6	14	methods	method	NOUN
cana-5234	6	15	have	have	AUX
cana-5234	6	16	been	be	AUX
cana-5234	6	17	suggested	suggest	VERB
cana-5234	6	18	.	.	PUNCT
cana-5234	7	1	when	when	SCONJ
cana-5234	7	2	it	it	PRON
cana-5234	7	3	comes	come	VERB
cana-5234	7	4	to	to	ADP
cana-5234	7	5	segmenting	segment	VERB
cana-5234	7	6	covid	covid	ADJ
cana-5234	7	7	extraction	extraction	NOUN
cana-5234	7	8	from	from	ADP
cana-5234	7	9	human	human	ADJ
cana-5234	7	10	medical	medical	ADJ
cana-5234	7	11	images	image	NOUN
cana-5234	7	12	,	,	PUNCT
cana-5234	7	13	multi	multi	ADJ
cana-5234	7	14	scale	scale	NOUN
cana-5234	7	15	covid	covid	NOUN
cana-5234	7	16	extraction	extraction	NOUN
cana-5234	7	17	(	(	PUNCT
cana-5234	7	18	mwen	mwen	NOUN
cana-5234	7	19	)	)	PUNCT
cana-5234	7	20	is	be	AUX
cana-5234	7	21	the	the	DET
cana-5234	7	22	one	one	NUM
cana-5234	7	23	convolutional	convolutional	ADJ
cana-5234	7	24	neural	neural	ADJ
cana-5234	7	25	network	network	NOUN
cana-5234	7	26	approach	approach	NOUN
cana-5234	7	27	to	to	PART
cana-5234	7	28	extract	extract	VERB
cana-5234	7	29	covid	covid	PROPN
cana-5234	7	30	part	part	NOUN
cana-5234	7	31	from	from	ADP
cana-5234	7	32	medical	medical	ADJ
cana-5234	7	33	images	image	NOUN
cana-5234	7	34	.	.	PUNCT
cana-5234	8	1	unfortunately	unfortunately	ADV
cana-5234	8	2	,	,	PUNCT
cana-5234	8	3	the	the	DET
cana-5234	8	4	large	large	ADJ
cana-5234	8	5	number	number	NOUN
cana-5234	8	6	of	of	ADP
cana-5234	8	7	training	training	NOUN
cana-5234	8	8	sensing	sense	VERB
cana-5234	8	9	image	image	NOUN
cana-5234	8	10	samples	sample	NOUN
cana-5234	8	11	and	and	CCONJ
cana-5234	8	12	sparse	sparse	ADJ
cana-5234	8	13	arrangement	arrangement	NOUN
cana-5234	8	14	of	of	ADP
cana-5234	8	15	boundary	boundary	ADJ
cana-5234	8	16	pixels	pixel	NOUN
cana-5234	8	17	make	make	VERB
cana-5234	8	18	it	it	PRON
cana-5234	8	19	unsuitable	unsuitable	ADJ
cana-5234	8	20	for	for	ADP
cana-5234	8	21	investigating	investigate	VERB
cana-5234	8	22	automatic	automatic	ADJ
cana-5234	8	23	extraction	extraction	NOUN
cana-5234	8	24	of	of	ADP
cana-5234	8	25	covid	covid	PROPN
cana-5234	8	26	body	body	NOUN
cana-5234	8	27	segmentation	segmentation	NOUN
cana-5234	8	28	from	from	ADP
cana-5234	8	29	medical	medical	ADJ
cana-5234	8	30	covid	covid	PROPN
cana-5234	8	31	images	image	NOUN
cana-5234	8	32	.	.	PUNCT
cana-5234	9	1	the	the	DET
cana-5234	9	2	purpose	purpose	NOUN
cana-5234	9	3	of	of	ADP
cana-5234	9	4	this	this	DET
cana-5234	9	5	proposal	proposal	NOUN
cana-5234	9	6	is	be	AUX
cana-5234	9	7	to	to	PART
cana-5234	9	8	present	present	VERB
cana-5234	9	9	a	a	DET
cana-5234	9	10	new	new	ADJ
cana-5234	9	11	hierarchical	hierarchical	ADJ
cana-5234	9	12	neural	neural	ADJ
cana-5234	9	13	network	network	NOUN
cana-5234	9	14	called	call	VERB
cana-5234	9	15	nomfchnn	nomfchnn	PROPN
cana-5234	9	16	that	that	PRON
cana-5234	9	17	is	be	AUX
cana-5234	9	18	optimized	optimize	VERB
cana-5234	9	19	for	for	ADP
cana-5234	9	20	multiple	multiple	ADJ
cana-5234	9	21	features	feature	NOUN
cana-5234	9	22	to	to	PART
cana-5234	9	23	improve	improve	VERB
cana-5234	9	24	the	the	DET
cana-5234	9	25	stage	stage	NOUN
cana-5234	9	26	of	of	ADP
cana-5234	9	27	autonomous	autonomous	ADJ
cana-5234	9	28	body	body	NOUN
cana-5234	9	29	segmentation	segmentation	NOUN
cana-5234	9	30	from	from	ADP
cana-5234	9	31	medical	medical	ADJ
cana-5234	9	32	covid	covid	PROPN
cana-5234	9	33	images	image	NOUN
cana-5234	9	34	.	.	PUNCT
cana-5234	10	1	using	use	VERB
cana-5234	10	2	pixel	pixel	NOUN
cana-5234	10	3	matching	matching	NOUN
cana-5234	10	4	and	and	CCONJ
cana-5234	10	5	extended	extended	ADJ
cana-5234	10	6	feature	feature	NOUN
cana-5234	10	7	extraction	extraction	NOUN
cana-5234	10	8	,	,	PUNCT
cana-5234	10	9	nomfchnn	nomfchnn	PROPN
cana-5234	10	10	builds	build	VERB
cana-5234	10	11	a	a	DET
cana-5234	10	12	neural	neural	ADJ
cana-5234	10	13	network	network	NOUN
cana-5234	10	14	with	with	ADP
cana-5234	10	15	features	feature	NOUN
cana-5234	10	16	that	that	PRON
cana-5234	10	17	expand	expand	VERB
cana-5234	10	18	and	and	CCONJ
cana-5234	10	19	inception	inception	NOUN
cana-5234	10	20	-	-	PUNCT
cana-5234	10	21	related	relate	VERB
cana-5234	10	22	layers	layer	NOUN
cana-5234	10	23	that	that	PRON
cana-5234	10	24	store	store	VERB
cana-5234	10	25	network	network	NOUN
cana-5234	10	26	localization	localization	NOUN
cana-5234	10	27	data	datum	NOUN
cana-5234	10	28	.	.	PUNCT
cana-5234	11	1	by	by	ADP
cana-5234	11	2	utilizing	utilize	VERB
cana-5234	11	3	contour	contour	NOUN
cana-5234	11	4	map	map	NOUN
cana-5234	11	5	optimization	optimization	NOUN
cana-5234	11	6	,	,	PUNCT
cana-5234	11	7	this	this	DET
cana-5234	11	8	method	method	NOUN
cana-5234	11	9	can	can	AUX
cana-5234	11	10	also	also	ADV
cana-5234	11	11	detect	detect	VERB
cana-5234	11	12	contours	contours	NOUN
cana-5234	11	13	using	use	VERB
cana-5234	11	14	globalized	globalize	VERB
cana-5234	11	15	images	image	NOUN
cana-5234	11	16	and	and	CCONJ
cana-5234	11	17	segmentation	segmentation	NOUN
cana-5234	11	18	.	.	PUNCT
cana-5234	12	1	it	it	PRON
cana-5234	12	2	then	then	ADV
cana-5234	12	3	passes	pass	VERB
cana-5234	12	4	the	the	DET
cana-5234	12	5	result	result	NOUN
cana-5234	12	6	of	of	ADP
cana-5234	12	7	each	each	DET
cana-5234	12	8	contour	contour	NOUN
cana-5234	12	9	identification	identification	NOUN
cana-5234	12	10	into	into	ADP
cana-5234	12	11	the	the	DET
cana-5234	12	12	next	next	ADJ
cana-5234	12	13	contour	contour	NOUN
cana-5234	12	14	identification	identification	NOUN
cana-5234	12	15	in	in	ADP
cana-5234	12	16	the	the	DET
cana-5234	12	17	chosen	choose	VERB
cana-5234	12	18	hierarchical	hierarchical	ADJ
cana-5234	12	19	area	area	NOUN
cana-5234	12	20	.	.	PUNCT
cana-5234	13	1	in	in	ADP
cana-5234	13	2	addition	addition	NOUN
cana-5234	13	3	,	,	PUNCT
cana-5234	13	4	our	our	PRON
cana-5234	13	5	suggested	suggest	VERB
cana-5234	13	6	method	method	NOUN
cana-5234	13	7	checks	check	VERB
cana-5234	13	8	the	the	DET
cana-5234	13	9	low	low	ADJ
cana-5234	13	10	-	-	PUNCT
cana-5234	13	11	resolution	resolution	NOUN
cana-5234	13	12	term	term	NOUN
cana-5234	13	13	for	for	ADP
cana-5234	13	14	every	every	DET
cana-5234	13	15	pixel	pixel	NOUN
cana-5234	13	16	in	in	ADP
cana-5234	13	17	the	the	DET
cana-5234	13	18	picture	picture	NOUN
cana-5234	13	19	,	,	PUNCT
cana-5234	13	20	learning	learn	VERB
cana-5234	13	21	the	the	DET
cana-5234	13	22	image	image	NOUN
cana-5234	13	23	from	from	ADP
cana-5234	13	24	the	the	DET
cana-5234	13	25	segmentation	segmentation	NOUN
cana-5234	13	26	results	result	NOUN
cana-5234	13	27	of	of	ADP
cana-5234	13	28	nearby	nearby	ADJ
cana-5234	13	29	pixels	pixel	NOUN
cana-5234	13	30	to	to	PART
cana-5234	13	31	get	get	AUX
cana-5234	13	32	rid	rid	VERB
cana-5234	13	33	of	of	ADP
cana-5234	13	34	inaccuracies	inaccuracy	NOUN
cana-5234	13	35	or	or	CCONJ
cana-5234	13	36	minor	minor	ADJ
cana-5234	13	37	modifications	modification	NOUN
cana-5234	13	38	.	.	PUNCT
cana-5234	14	1	to	to	PART
cana-5234	14	2	evaluate	evaluate	VERB
cana-5234	14	3	the	the	DET
cana-5234	14	4	feature	feature	NOUN
cana-5234	14	5	extraction	extraction	NOUN
cana-5234	14	6	of	of	ADP
cana-5234	14	7	covid	covid	PROPN
cana-5234	14	8	body	body	NOUN
cana-5234	14	9	from	from	ADP
cana-5234	14	10	human	human	ADJ
cana-5234	14	11	medical	medical	ADJ
cana-5234	14	12	covid	covid	PROPN
cana-5234	14	13	images	image	NOUN
cana-5234	14	14	,	,	PUNCT
cana-5234	14	15	we	we	PRON
cana-5234	14	16	choose	choose	VERB
cana-5234	14	17	a	a	DET
cana-5234	14	18	multi	multi	ADJ
cana-5234	14	19	-	-	ADJ
cana-5234	14	20	scale	scale	ADJ
cana-5234	14	21	feature	feature	NOUN
cana-5234	14	22	segmentation	segmentation	NOUN
cana-5234	14	23	fusion	fusion	NOUN
cana-5234	14	24	module	module	NOUN
cana-5234	14	25	to	to	PART
cana-5234	14	26	better	well	ADV
cana-5234	14	27	recognize	recognize	VERB
cana-5234	14	28	the	the	DET
cana-5234	14	29	outlines	outline	NOUN
cana-5234	14	30	of	of	ADP
cana-5234	14	31	the	the	DET
cana-5234	14	32	covid-19	covid-19	PROPN
cana-5234	14	33	body	body	NOUN
cana-5234	14	34	from	from	ADP
cana-5234	14	35	the	the	DET
cana-5234	14	36	covid-19	covid-19	PROPN
cana-5234	14	37	image	image	NOUN
cana-5234	14	38	.	.	PUNCT
cana-5234	15	1	comparing	compare	VERB
cana-5234	15	2	state	state	NOUN
cana-5234	15	3	-	-	PUNCT
cana-5234	15	4	of	of	ADP
cana-5234	15	5	-	-	PUNCT
cana-5234	15	6	the	the	DET
cana-5234	15	7	-	-	PUNCT
cana-5234	15	8	art	art	NOUN
cana-5234	15	9	procedures	procedure	NOUN
cana-5234	15	10	to	to	ADP
cana-5234	15	11	those	those	PRON
cana-5234	15	12	conducted	conduct	VERB
cana-5234	15	13	on	on	ADP
cana-5234	15	14	bioinformatics	bioinformatics	NOUN
cana-5234	15	15	covid	covid	PROPN
cana-5234	15	16	pictures	picture	NOUN
cana-5234	15	17	,	,	PUNCT
cana-5234	15	18	extensive	extensive	ADJ
cana-5234	15	19	trials	trial	NOUN
cana-5234	15	20	on	on	ADP
cana-5234	15	21	combined	combine	VERB
cana-5234	15	22	medical	medical	ADJ
cana-5234	15	23	covid	covid	PROPN
cana-5234	15	24	repository	repository	NOUN
cana-5234	15	25	photos	photo	NOUN
cana-5234	15	26	show	show	VERB
cana-5234	15	27	that	that	SCONJ
cana-5234	15	28	the	the	DET
cana-5234	15	29	suggested	suggest	VERB
cana-5234	15	30	methodology	methodology	NOUN
cana-5234	15	31	enhances	enhance	VERB
cana-5234	15	32	segmentation	segmentation	NOUN
cana-5234	15	33	accuracy	accuracy	NOUN
cana-5234	15	34	and	and	CCONJ
cana-5234	15	35	other	other	ADJ
cana-5234	15	36	characteristics	characteristic	NOUN
cana-5234	15	37	.	.	PUNCT
cana-5234	16	1	keywords	keyword	NOUN
cana-5234	16	2	:	:	PUNCT
cana-5234	16	3	image	image	NOUN
cana-5234	16	4	segmentation	segmentation	NOUN
cana-5234	16	5	,	,	PUNCT
cana-5234	16	6	contour	contour	NOUN
cana-5234	16	7	map	map	NOUN
cana-5234	16	8	optimization	optimization	NOUN
cana-5234	16	9	,	,	PUNCT
cana-5234	16	10	bioinformatic	bioinformatic	ADJ
cana-5234	16	11	covid	covid	NOUN
cana-5234	16	12	images	image	NOUN
cana-5234	16	13	,	,	PUNCT
cana-5234	16	14	extraction	extraction	NOUN
cana-5234	16	15	of	of	ADP
cana-5234	16	16	covid	covid	PROPN
cana-5234	16	17	body	body	PROPN
cana-5234	16	18	,	,	PUNCT
cana-5234	16	19	cnn	cnn	PROPN
cana-5234	16	20	,	,	PUNCT
cana-5234	16	21	msfe	msfe	PROPN
cana-5234	16	22	,	,	PUNCT
cana-5234	16	23	high	high	ADJ
cana-5234	16	24	and	and	CCONJ
cana-5234	16	25	low	low	ADJ
cana-5234	16	26	pixel	pixel	NOUN
cana-5234	16	27	resolution	resolution	NOUN
cana-5234	16	28	communications	communication	NOUN
cana-5234	16	29	on	on	ADP
cana-5234	16	30	applied	apply	VERB
cana-5234	16	31	nonlinear	nonlinear	ADJ
cana-5234	16	32	analysis	analysis	NOUN
cana-5234	16	33	issn	issn	NOUN
cana-5234	16	34	:	:	PUNCT
cana-5234	16	35	1074	1074	NUM
cana-5234	16	36	-	-	PUNCT
cana-5234	16	37	133x	133x	NUM
cana-5234	16	38	vol	vol	VERB
cana-5234	16	39	32	32	NUM
cana-5234	16	40	no	no	NOUN
cana-5234	16	41	.	.	PUNCT
cana-5234	17	1	10s	10	NOUN
cana-5234	17	2	(	(	PUNCT
cana-5234	17	3	2025	2025	NUM
cana-5234	17	4	)	)	PUNCT
cana-5234	17	5	1308	1308	NUM
cana-5234	18	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-5234	18	2	1	1	X
cana-5234	18	3	.	.	PUNCT
cana-5234	19	1	introduction	introduction	NOUN
cana-5234	19	2	emerging	emerge	VERB
cana-5234	19	3	technology	technology	NOUN
cana-5234	19	4	that	that	PRON
cana-5234	19	5	relies	rely	VERB
cana-5234	19	6	on	on	ADP
cana-5234	19	7	high	high	ADJ
cana-5234	19	8	-	-	PUNCT
cana-5234	19	9	resolution	resolution	NOUN
cana-5234	19	10	medical	medical	ADJ
cana-5234	19	11	covid-19	covid-19	PROPN
cana-5234	19	12	footage	footage	NOUN
cana-5234	19	13	is	be	AUX
cana-5234	19	14	cutting	cut	VERB
cana-5234	19	15	edge	edge	NOUN
cana-5234	19	16	.	.	PUNCT
cana-5234	20	1	collecting	collect	VERB
cana-5234	20	2	various	various	ADJ
cana-5234	20	3	forms	form	NOUN
cana-5234	20	4	of	of	ADP
cana-5234	20	5	unidentified	unidentified	ADJ
cana-5234	20	6	area	area	NOUN
cana-5234	20	7	-	-	PUNCT
cana-5234	20	8	related	relate	VERB
cana-5234	20	9	photographs	photograph	NOUN
cana-5234	20	10	poses	pose	VERB
cana-5234	20	11	a	a	DET
cana-5234	20	12	new	new	ADJ
cana-5234	20	13	problem	problem	NOUN
cana-5234	20	14	for	for	ADP
cana-5234	20	15	workers	worker	NOUN
cana-5234	20	16	in	in	ADP
cana-5234	20	17	the	the	DET
cana-5234	20	18	field	field	NOUN
cana-5234	20	19	of	of	ADP
cana-5234	20	20	geographic	geographic	ADJ
cana-5234	20	21	information	information	NOUN
cana-5234	20	22	systems	system	NOUN
cana-5234	20	23	.	.	PUNCT
cana-5234	21	1	digital	digital	PROPN
cana-5234	21	2	mapping	mapping	NOUN
cana-5234	21	3	,	,	PUNCT
cana-5234	21	4	urbanization	urbanization	NOUN
cana-5234	21	5	monitoring	monitoring	NOUN
cana-5234	21	6	,	,	PUNCT
cana-5234	21	7	and	and	CCONJ
cana-5234	21	8	medical	medical	ADJ
cana-5234	21	9	covid	covid	PROPN
cana-5234	21	10	picture	picture	NOUN
cana-5234	21	11	interpretation	interpretation	NOUN
cana-5234	21	12	are	be	AUX
cana-5234	21	13	just	just	ADV
cana-5234	21	14	a	a	DET
cana-5234	21	15	few	few	ADJ
cana-5234	21	16	examples	example	NOUN
cana-5234	21	17	of	of	ADP
cana-5234	21	18	the	the	DET
cana-5234	21	19	many	many	ADJ
cana-5234	21	20	uses	use	VERB
cana-5234	21	21	for	for	ADP
cana-5234	21	22	this	this	DET
cana-5234	21	23	new	new	ADJ
cana-5234	21	24	area	area	NOUN
cana-5234	21	25	of	of	ADP
cana-5234	21	26	study	study	NOUN
cana-5234	21	27	in	in	ADP
cana-5234	21	28	covid	covid	PROPN
cana-5234	21	29	.	.	PUNCT
cana-5234	22	1	in	in	ADP
cana-5234	22	2	the	the	DET
cana-5234	22	3	realm	realm	NOUN
cana-5234	22	4	of	of	ADP
cana-5234	22	5	covid	covid	NOUN
cana-5234	22	6	resource	resource	NOUN
cana-5234	22	7	monitoring	monitoring	NOUN
cana-5234	22	8	,	,	PUNCT
cana-5234	22	9	the	the	DET
cana-5234	22	10	extraction	extraction	NOUN
cana-5234	22	11	of	of	ADP
cana-5234	22	12	covid-19	covid-19	PROPN
cana-5234	22	13	bodies	body	NOUN
cana-5234	22	14	from	from	ADP
cana-5234	22	15	bioinformatic	bioinformatic	ADJ
cana-5234	22	16	covid	covid	NOUN
cana-5234	22	17	pictures	picture	NOUN
cana-5234	22	18	is	be	AUX
cana-5234	22	19	a	a	DET
cana-5234	22	20	novel	novel	ADJ
cana-5234	22	21	and	and	CCONJ
cana-5234	22	22	important	important	ADJ
cana-5234	22	23	idea	idea	NOUN
cana-5234	22	24	.	.	PUNCT
cana-5234	23	1	in	in	ADP
cana-5234	23	2	the	the	DET
cana-5234	23	3	current	current	ADJ
cana-5234	23	4	real	real	ADJ
cana-5234	23	5	-	-	PUNCT
cana-5234	23	6	time	time	NOUN
cana-5234	23	7	setting	setting	NOUN
cana-5234	23	8	,	,	PUNCT
cana-5234	23	9	segmentation	segmentation	NOUN
cana-5234	23	10	/	/	SYM
cana-5234	23	11	classification	classification	NOUN
cana-5234	23	12	for	for	ADP
cana-5234	23	13	covid-19	covid-19	PROPN
cana-5234	23	14	body	body	NOUN
cana-5234	23	15	extraction	extraction	NOUN
cana-5234	23	16	is	be	AUX
cana-5234	23	17	vital	vital	ADJ
cana-5234	23	18	since	since	SCONJ
cana-5234	23	19	covid	covid	PROPN
cana-5234	23	20	bodies	body	NOUN
cana-5234	23	21	change	change	VERB
cana-5234	23	22	their	their	PRON
cana-5234	23	23	environments	environment	NOUN
cana-5234	23	24	.	.	PUNCT
cana-5234	24	1	figure	figure	NOUN
cana-5234	24	2	1	1	NUM
cana-5234	24	3	shows	show	VERB
cana-5234	24	4	the	the	DET
cana-5234	24	5	representation	representation	NOUN
cana-5234	24	6	of	of	ADP
cana-5234	24	7	bodies	body	NOUN
cana-5234	24	8	of	of	ADP
cana-5234	24	9	covid	covid	PROPN
cana-5234	24	10	in	in	ADP
cana-5234	24	11	bioinformatic	bioinformatic	ADJ
cana-5234	24	12	covid	covid	NOUN
cana-5234	24	13	pictures	picture	NOUN
cana-5234	24	14	based	base	VERB
cana-5234	24	15	on	on	ADP
cana-5234	24	16	higher	high	ADJ
cana-5234	24	17	end	end	NOUN
cana-5234	24	18	resolutions	resolution	NOUN
cana-5234	24	19	.	.	PUNCT
cana-5234	25	1	some	some	PRON
cana-5234	25	2	of	of	ADP
cana-5234	25	3	these	these	DET
cana-5234	25	4	images	image	NOUN
cana-5234	25	5	are	be	AUX
cana-5234	25	6	blurry	blurry	ADJ
cana-5234	25	7	or	or	CCONJ
cana-5234	25	8	deteriorated	deteriorate	VERB
cana-5234	25	9	.	.	PUNCT
cana-5234	26	1	the	the	DET
cana-5234	26	2	aquatic	aquatic	ADJ
cana-5234	26	3	vitiation	vitiation	NOUN
cana-5234	26	4	of	of	ADP
cana-5234	26	5	silts	silt	NOUN
cana-5234	26	6	,	,	PUNCT
cana-5234	26	7	boat	boat	NOUN
cana-5234	26	8	obstructions	obstruction	NOUN
cana-5234	26	9	,	,	PUNCT
cana-5234	26	10	and	and	CCONJ
cana-5234	26	11	shadow	shadow	NOUN
cana-5234	26	12	cast	cast	VERB
cana-5234	26	13	by	by	ADP
cana-5234	26	14	nearby	nearby	ADJ
cana-5234	26	15	tail	tail	NOUN
cana-5234	26	16	plants	plant	NOUN
cana-5234	26	17	are	be	AUX
cana-5234	26	18	all	all	PRON
cana-5234	26	19	causes	cause	NOUN
cana-5234	26	20	of	of	ADP
cana-5234	26	21	degradation	degradation	NOUN
cana-5234	26	22	in	in	ADP
cana-5234	26	23	covidbody	covidbody	NOUN
cana-5234	26	24	resources	resource	NOUN
cana-5234	26	25	.	.	PUNCT
cana-5234	27	1	figure	figure	NOUN
cana-5234	27	2	1	1	NUM
cana-5234	27	3	:	:	PUNCT
cana-5234	27	4	some	some	PRON
cana-5234	27	5	of	of	ADP
cana-5234	27	6	the	the	DET
cana-5234	27	7	typical	typical	ADJ
cana-5234	27	8	and	and	CCONJ
cana-5234	27	9	aerial	aerial	ADJ
cana-5234	27	10	medical	medical	ADJ
cana-5234	27	11	covid	covid	NOUN
cana-5234	27	12	images	image	NOUN
cana-5234	27	13	with	with	ADP
cana-5234	27	14	sample	sample	NOUN
cana-5234	27	15	covid	covid	PROPN
cana-5234	27	16	bodies	body	NOUN
cana-5234	27	17	deep	deep	ADJ
cana-5234	27	18	learning	learning	NOUN
cana-5234	27	19	has	have	AUX
cana-5234	27	20	been	be	AUX
cana-5234	27	21	more	more	ADV
cana-5234	27	22	popular	popular	ADJ
cana-5234	27	23	among	among	ADP
cana-5234	27	24	image	image	NOUN
cana-5234	27	25	processing	processing	NOUN
cana-5234	27	26	techniques	technique	NOUN
cana-5234	27	27	in	in	ADP
cana-5234	27	28	recent	recent	ADJ
cana-5234	27	29	years	year	NOUN
cana-5234	27	30	(	(	PUNCT
cana-5234	27	31	ref	ref	NOUN
cana-5234	27	32	[	[	X
cana-5234	27	33	16	16	NUM
cana-5234	27	34	,	,	PUNCT
cana-5234	27	35	17]).applications	17]).application	NOUN
cana-5234	27	36	of	of	ADP
cana-5234	27	37	convolutional	convolutional	ADJ
cana-5234	27	38	neural	neural	ADJ
cana-5234	27	39	networks	network	NOUN
cana-5234	27	40	(	(	PUNCT
cana-5234	27	41	cnns	cnns	PROPN
cana-5234	27	42	)	)	PUNCT
cana-5234	27	43	include	include	VERB
cana-5234	27	44	object	object	NOUN
cana-5234	27	45	detection	detection	NOUN
cana-5234	27	46	[	[	X
cana-5234	27	47	20	20	NUM
cana-5234	27	48	,	,	PUNCT
cana-5234	27	49	21	21	NUM
cana-5234	27	50	]	]	PUNCT
cana-5234	27	51	,	,	PUNCT
cana-5234	27	52	semantic	semantic	ADJ
cana-5234	27	53	segmentation	segmentation	NOUN
cana-5234	27	54	[	[	X
cana-5234	27	55	19	19	NUM
cana-5234	27	56	]	]	PUNCT
cana-5234	27	57	,	,	PUNCT
cana-5234	27	58	and	and	CCONJ
cana-5234	27	59	scene	scene	VERB
cana-5234	27	60	categorization	categorization	NOUN
cana-5234	27	61	[	[	X
cana-5234	27	62	18	18	NUM
cana-5234	27	63	,	,	PUNCT
cana-5234	27	64	19	19	NUM
cana-5234	27	65	]	]	PUNCT
cana-5234	27	66	.	.	PUNCT
cana-5234	28	1	according	accord	VERB
cana-5234	28	2	to	to	ADP
cana-5234	28	3	reference	reference	NOUN
cana-5234	28	4	[	[	X
cana-5234	28	5	22	22	NUM
cana-5234	28	6	]	]	PUNCT
cana-5234	28	7	,	,	PUNCT
cana-5234	28	8	cnns	cnn	NOUN
cana-5234	28	9	can	can	AUX
cana-5234	28	10	directly	directly	ADV
cana-5234	28	11	extract	extract	VERB
cana-5234	28	12	features	feature	NOUN
cana-5234	28	13	from	from	ADP
cana-5234	28	14	raw	raw	ADJ
cana-5234	28	15	images	image	NOUN
cana-5234	28	16	by	by	ADP
cana-5234	28	17	employing	employ	VERB
cana-5234	28	18	several	several	ADJ
cana-5234	28	19	convolutional	convolutional	ADJ
cana-5234	28	20	layers	layer	NOUN
cana-5234	28	21	,	,	PUNCT
cana-5234	28	22	hence	hence	ADV
cana-5234	28	23	avoiding	avoid	VERB
cana-5234	28	24	complex	complex	ADJ
cana-5234	28	25	feature	feature	NOUN
cana-5234	28	26	extraction	extraction	NOUN
cana-5234	28	27	.	.	PUNCT
cana-5234	29	1	pixel	pixel	PROPN
cana-5234	29	2	-	-	PUNCT
cana-5234	29	3	by	by	ADP
cana-5234	29	4	-	-	PUNCT
cana-5234	29	5	pixel	pixel	NOUN
cana-5234	29	6	image	image	NOUN
cana-5234	29	7	categorization	categorization	NOUN
cana-5234	29	8	is	be	AUX
cana-5234	29	9	one	one	NUM
cana-5234	29	10	of	of	ADP
cana-5234	29	11	cnns	cnn	NOUN
cana-5234	29	12	'	'	PART
cana-5234	29	13	semantic	semantic	ADJ
cana-5234	29	14	segmentation	segmentation	NOUN
cana-5234	29	15	capabilities	capability	NOUN
cana-5234	29	16	that	that	PRON
cana-5234	29	17	is	be	AUX
cana-5234	29	18	used	use	VERB
cana-5234	29	19	to	to	PART
cana-5234	29	20	extract	extract	VERB
cana-5234	29	21	information	information	NOUN
cana-5234	29	22	from	from	ADP
cana-5234	29	23	covid19	covid19	NOUN
cana-5234	29	24	images	image	NOUN
cana-5234	29	25	.	.	PUNCT
cana-5234	30	1	convolutional	convolutional	ADJ
cana-5234	30	2	neural	neural	ADJ
cana-5234	30	3	networks	network	NOUN
cana-5234	30	4	(	(	PUNCT
cana-5234	30	5	cnns	cnns	PROPN
cana-5234	30	6	)	)	PUNCT
cana-5234	30	7	use	use	VERB
cana-5234	30	8	deep	deep	ADJ
cana-5234	30	9	convolutional	convolutional	ADJ
cana-5234	30	10	layers	layer	NOUN
cana-5234	30	11	to	to	PART
cana-5234	30	12	assign	assign	VERB
cana-5234	30	13	labels	label	NOUN
cana-5234	30	14	to	to	ADP
cana-5234	30	15	pixels	pixel	NOUN
cana-5234	30	16	after	after	ADP
cana-5234	30	17	recording	record	VERB
cana-5234	30	18	pixel	pixel	NOUN
cana-5234	30	19	positions	position	NOUN
cana-5234	30	20	using	use	VERB
cana-5234	30	21	shallow	shallow	ADJ
cana-5234	30	22	convolutional	convolutional	ADJ
cana-5234	30	23	layers	layer	NOUN
cana-5234	30	24	,	,	PUNCT
cana-5234	30	25	as	as	ADP
cana-5234	30	26	per	per	ADP
cana-5234	30	27	ref	ref	NOUN
cana-5234	30	28	[	[	X
cana-5234	30	29	22	22	NUM
cana-5234	30	30	]	]	PUNCT
cana-5234	30	31	.	.	PUNCT
cana-5234	31	1	a	a	DET
cana-5234	31	2	convolutional	convolutional	ADJ
cana-5234	31	3	neural	neural	ADJ
cana-5234	31	4	network	network	NOUN
cana-5234	31	5	(	(	PUNCT
cana-5234	31	6	cnn	cnn	PROPN
cana-5234	31	7	)	)	PUNCT
cana-5234	31	8	has	have	VERB
cana-5234	31	9	three	three	NUM
cana-5234	31	10	layers	layer	NOUN
cana-5234	31	11	:	:	PUNCT
cana-5234	31	12	two	two	NUM
cana-5234	31	13	convolutional	convolutional	ADJ
cana-5234	31	14	and	and	CCONJ
cana-5234	31	15	one	one	NUM
cana-5234	31	16	fully	fully	ADV
cana-5234	31	17	connected	connect	VERB
cana-5234	31	18	.	.	PUNCT
cana-5234	32	1	the	the	DET
cana-5234	32	2	shallow	shallow	ADJ
cana-5234	32	3	structure	structure	NOUN
cana-5234	32	4	of	of	ADP
cana-5234	32	5	the	the	DET
cana-5234	32	6	system	system	NOUN
cana-5234	32	7	leads	lead	VERB
cana-5234	32	8	to	to	ADP
cana-5234	32	9	its	its	PRON
cana-5234	32	10	poor	poor	ADJ
cana-5234	32	11	robustness	robustness	NOUN
cana-5234	32	12	in	in	ADP
cana-5234	32	13	complex	complex	ADJ
cana-5234	32	14	settings	setting	NOUN
cana-5234	32	15	,	,	PUNCT
cana-5234	32	16	as	as	SCONJ
cana-5234	32	17	it	it	PRON
cana-5234	32	18	can	can	AUX
cana-5234	32	19	only	only	ADV
cana-5234	32	20	capture	capture	VERB
cana-5234	32	21	low	low	ADJ
cana-5234	32	22	-	-	PUNCT
cana-5234	32	23	level	level	NOUN
cana-5234	32	24	properties	property	NOUN
cana-5234	32	25	.	.	PUNCT
cana-5234	33	1	furthermore	furthermore	ADV
cana-5234	33	2	,	,	PUNCT
cana-5234	33	3	a	a	DET
cana-5234	33	4	lot	lot	NOUN
cana-5234	33	5	of	of	ADP
cana-5234	33	6	papers	paper	NOUN
cana-5234	33	7	use	use	VERB
cana-5234	33	8	small	small	ADJ
cana-5234	33	9	input	input	NOUN
cana-5234	33	10	sizes	size	NOUN
cana-5234	33	11	for	for	ADP
cana-5234	33	12	cnn	cnn	PROPN
cana-5234	33	13	models	model	NOUN
cana-5234	33	14	,	,	PUNCT
cana-5234	33	15	so	so	SCONJ
cana-5234	33	16	they	they	PRON
cana-5234	33	17	are	be	AUX
cana-5234	33	18	not	not	PART
cana-5234	33	19	appropriate	appropriate	ADJ
cana-5234	33	20	for	for	ADP
cana-5234	33	21	large	large	ADJ
cana-5234	33	22	-	-	PUNCT
cana-5234	33	23	scale	scale	NOUN
cana-5234	33	24	feature	feature	NOUN
cana-5234	33	25	extraction	extraction	NOUN
cana-5234	33	26	.	.	PUNCT
cana-5234	34	1	as	as	ADP
cana-5234	34	2	the	the	DET
cana-5234	34	3	spatial	spatial	ADJ
cana-5234	34	4	resolution	resolution	NOUN
cana-5234	34	5	of	of	ADP
cana-5234	34	6	medical	medical	ADJ
cana-5234	34	7	covid	covid	PROPN
cana-5234	34	8	images	image	NOUN
cana-5234	34	9	increases	increase	NOUN
cana-5234	34	10	,	,	PUNCT
cana-5234	34	11	a	a	DET
cana-5234	34	12	number	number	NOUN
cana-5234	34	13	of	of	ADP
cana-5234	34	14	deep	deep	ADJ
cana-5234	34	15	learning	learning	NOUN
cana-5234	34	16	-	-	PUNCT
cana-5234	34	17	based	base	VERB
cana-5234	34	18	methods	method	NOUN
cana-5234	34	19	for	for	ADP
cana-5234	34	20	covid	covid	PROPN
cana-5234	34	21	body	body	NOUN
cana-5234	34	22	extraction	extraction	NOUN
cana-5234	34	23	have	have	AUX
cana-5234	34	24	been	be	AUX
cana-5234	34	25	proposed	propose	VERB
cana-5234	34	26	[	[	X
cana-5234	34	27	25].cnns	25].cnn	NOUN
cana-5234	34	28	are	be	AUX
cana-5234	34	29	increasingly	increasingly	ADV
cana-5234	34	30	being	be	AUX
cana-5234	34	31	utilized	utilize	VERB
cana-5234	34	32	to	to	PART
cana-5234	34	33	extract	extract	VERB
cana-5234	34	34	data	datum	NOUN
cana-5234	34	35	from	from	ADP
cana-5234	34	36	covid-19	covid-19	PROPN
cana-5234	34	37	images	image	NOUN
cana-5234	34	38	of	of	ADP
cana-5234	34	39	infected	infected	ADJ
cana-5234	34	40	people	people	NOUN
cana-5234	34	41	's	's	PART
cana-5234	34	42	bodies	body	NOUN
cana-5234	34	43	.	.	PUNCT
cana-5234	35	1	in	in	ADP
cana-5234	35	2	[	[	X
cana-5234	35	3	10	10	NUM
cana-5234	35	4	]	]	PUNCT
cana-5234	35	5	,	,	PUNCT
cana-5234	35	6	an	an	DET
cana-5234	35	7	innovative	innovative	ADJ
cana-5234	35	8	application	application	NOUN
cana-5234	35	9	of	of	ADP
cana-5234	35	10	cnn	cnn	PROPN
cana-5234	35	11	for	for	ADP
cana-5234	35	12	covid	covid	PROPN
cana-5234	35	13	body	body	NOUN
cana-5234	35	14	extraction	extraction	NOUN
cana-5234	35	15	from	from	ADP
cana-5234	35	16	landsat	landsat	PROPN
cana-5234	35	17	etm+	etm+	NOUN
cana-5234	35	18	images	image	NOUN
cana-5234	35	19	was	be	AUX
cana-5234	35	20	described	describe	VERB
cana-5234	35	21	.	.	PUNCT
cana-5234	36	1	in	in	ADP
cana-5234	36	2	a	a	DET
cana-5234	36	3	cnn	cnn	PROPN
cana-5234	36	4	technique	technique	NOUN
cana-5234	36	5	,	,	PUNCT
cana-5234	36	6	combining	combine	VERB
cana-5234	36	7	the	the	DET
cana-5234	36	8	super	super	ADJ
cana-5234	36	9	pixel	pixel	PROPN
cana-5234	36	10	is	be	AUX
cana-5234	36	11	recommended	recommend	VERB
cana-5234	36	12	in	in	ADP
cana-5234	36	13	[	[	X
cana-5234	36	14	6	6	NUM
cana-5234	36	15	]	]	PUNCT
cana-5234	36	16	.	.	PUNCT
cana-5234	37	1	the	the	DET
cana-5234	37	2	core	core	NOUN
cana-5234	37	3	of	of	ADP
cana-5234	37	4	this	this	DET
cana-5234	37	5	strategy	strategy	NOUN
cana-5234	37	6	consists	consist	VERB
cana-5234	37	7	of	of	ADP
cana-5234	37	8	fusing	fuse	VERB
cana-5234	37	9	artificially	artificially	ADV
cana-5234	37	10	-	-	PUNCT
cana-5234	37	11	designed	design	VERB
cana-5234	37	12	traits	trait	NOUN
cana-5234	37	13	with	with	ADP
cana-5234	37	14	cnn	cnn	PROPN
cana-5234	37	15	-	-	PUNCT
cana-5234	37	16	extracted	extract	VERB
cana-5234	37	17	ones	one	NOUN
cana-5234	37	18	.	.	PUNCT
cana-5234	38	1	however	however	ADV
cana-5234	38	2	,	,	PUNCT
cana-5234	38	3	as	as	ADP
cana-5234	38	4	forward	forward	ADJ
cana-5234	38	5	propagation	propagation	NOUN
cana-5234	38	6	proceeds	proceed	NOUN
cana-5234	38	7	,	,	PUNCT
cana-5234	38	8	certain	certain	ADJ
cana-5234	38	9	crucial	crucial	ADJ
cana-5234	38	10	information	information	NOUN
cana-5234	38	11	is	be	AUX
cana-5234	38	12	lost	lose	VERB
cana-5234	38	13	,	,	PUNCT
cana-5234	38	14	which	which	PRON
cana-5234	38	15	reduces	reduce	VERB
cana-5234	38	16	the	the	DET
cana-5234	38	17	fluidity	fluidity	NOUN
cana-5234	38	18	of	of	ADP
cana-5234	38	19	covid	covid	PROPN
cana-5234	38	20	extraction	extraction	NOUN
cana-5234	38	21	.	.	PUNCT
cana-5234	39	1	recent	recent	ADJ
cana-5234	39	2	years	year	NOUN
cana-5234	39	3	have	have	AUX
cana-5234	39	4	seen	see	VERB
cana-5234	39	5	advancements	advancement	NOUN
cana-5234	39	6	in	in	ADP
cana-5234	39	7	fully	fully	ADV
cana-5234	39	8	convolutional	convolutional	ADJ
cana-5234	39	9	neural	neural	ADJ
cana-5234	39	10	networks	network	NOUN
cana-5234	39	11	(	(	PUNCT
cana-5234	39	12	fcns	fcns	NOUN
cana-5234	39	13	)	)	PUNCT
cana-5234	39	14	and	and	CCONJ
cana-5234	39	15	other	other	ADJ
cana-5234	39	16	end	end	NOUN
cana-5234	39	17	-	-	PUNCT
cana-5234	39	18	to	to	ADP
cana-5234	39	19	-	-	PUNCT
cana-5234	39	20	end	end	NOUN
cana-5234	39	21	cnns	cnn	NOUN
cana-5234	39	22	[	[	X
cana-5234	39	23	26].beginning	26].beginne	VERB
cana-5234	39	24	with	with	ADP
cana-5234	39	25	semantic	semantic	ADJ
cana-5234	39	26	segmentation	segmentation	NOUN
cana-5234	39	27	,	,	PUNCT
cana-5234	39	28	the	the	DET
cana-5234	39	29	first	first	ADJ
cana-5234	39	30	end	end	NOUN
cana-5234	39	31	-	-	PUNCT
cana-5234	39	32	to	to	ADP
cana-5234	39	33	-	-	PUNCT
cana-5234	39	34	end	end	NOUN
cana-5234	39	35	cnn	cnn	PROPN
cana-5234	39	36	was	be	AUX
cana-5234	39	37	the	the	DET
cana-5234	39	38	fully	fully	ADV
cana-5234	39	39	convolutional	convolutional	ADJ
cana-5234	39	40	network	network	NOUN
cana-5234	39	41	(	(	PUNCT
cana-5234	39	42	fcn	fcn	PROPN
cana-5234	39	43	)	)	PUNCT
cana-5234	40	1	[	[	X
cana-5234	40	2	19	19	NUM
cana-5234	40	3	]	]	PUNCT
cana-5234	40	4	.	.	PUNCT
cana-5234	41	1	once	once	ADV
cana-5234	41	2	the	the	DET
cana-5234	41	3	last	last	ADJ
cana-5234	41	4	convolutional	convolutional	ADJ
cana-5234	41	5	layer	layer	NOUN
cana-5234	41	6	has	have	AUX
cana-5234	41	7	extracted	extract	VERB
cana-5234	41	8	abstract	abstract	ADJ
cana-5234	41	9	features	feature	NOUN
cana-5234	41	10	from	from	ADP
cana-5234	41	11	the	the	DET
cana-5234	41	12	input	input	NOUN
cana-5234	41	13	picture	picture	NOUN
cana-5234	41	14	,	,	PUNCT
cana-5234	41	15	fcn	fcn	NOUN
cana-5234	41	16	assigns	assign	NOUN
cana-5234	41	17	labels	label	NOUN
cana-5234	41	18	to	to	ADP
cana-5234	41	19	each	each	DET
cana-5234	41	20	pixel	pixel	NOUN
cana-5234	41	21	in	in	ADP
cana-5234	41	22	the	the	DET
cana-5234	41	23	feature	feature	NOUN
cana-5234	41	24	maps	map	NOUN
cana-5234	41	25	.	.	PUNCT
cana-5234	42	1	on	on	ADP
cana-5234	42	2	the	the	DET
cana-5234	42	3	other	other	ADJ
cana-5234	42	4	side	side	NOUN
cana-5234	42	5	,	,	PUNCT
cana-5234	42	6	information	information	NOUN
cana-5234	42	7	associated	associate	VERB
cana-5234	42	8	with	with	ADP
cana-5234	42	9	low	low	ADJ
cana-5234	42	10	-	-	PUNCT
cana-5234	42	11	level	level	NOUN
cana-5234	42	12	features	feature	NOUN
cana-5234	42	13	retrieved	retrieve	VERB
cana-5234	42	14	from	from	ADP
cana-5234	42	15	the	the	DET
cana-5234	42	16	shallow	shallow	ADJ
cana-5234	42	17	convolutional	convolutional	ADJ
cana-5234	42	18	layer	layer	NOUN
cana-5234	42	19	is	be	AUX
cana-5234	42	20	lost	lose	VERB
cana-5234	42	21	by	by	ADP
cana-5234	42	22	fcn	fcn	PROPN
cana-5234	42	23	.	.	PUNCT
cana-5234	43	1	various	various	ADJ
cana-5234	43	2	models	model	NOUN
cana-5234	43	3	have	have	AUX
cana-5234	43	4	been	be	AUX
cana-5234	43	5	created	create	VERB
cana-5234	43	6	to	to	PART
cana-5234	43	7	enhance	enhance	VERB
cana-5234	43	8	cnn	cnn	PROPN
cana-5234	43	9	performance	performance	NOUN
cana-5234	43	10	in	in	ADP
cana-5234	43	11	computer	computer	NOUN
cana-5234	43	12	vision	vision	NOUN
cana-5234	43	13	's	's	PART
cana-5234	43	14	semantic	semantic	ADJ
cana-5234	43	15	segmentation	segmentation	NOUN
cana-5234	43	16	in	in	ADP
cana-5234	43	17	the	the	DET
cana-5234	43	18	past	past	ADJ
cana-5234	43	19	few	few	ADJ
cana-5234	43	20	years	year	NOUN
cana-5234	43	21	.	.	PUNCT
cana-5234	44	1	two	two	NUM
cana-5234	44	2	examples	example	NOUN
cana-5234	44	3	are	be	AUX
cana-5234	44	4	unet	unet	NOUN
cana-5234	44	5	(	(	PUNCT
cana-5234	44	6	ref	ref	NOUN
cana-5234	44	7	.	.	PUNCT
cana-5234	44	8	23	23	NUM
cana-5234	44	9	)	)	PUNCT
cana-5234	44	10	and	and	CCONJ
cana-5234	44	11	deeplab	deeplab	PROPN
cana-5234	44	12	v3	v3	PROPN
cana-5234	44	13	+	+	PROPN
cana-5234	44	14	(	(	PUNCT
cana-5234	44	15	ref	ref	NOUN
cana-5234	44	16	.	.	PUNCT
cana-5234	44	17	24	24	NUM
cana-5234	44	18	)	)	PUNCT
cana-5234	44	19	.	.	PUNCT
cana-5234	45	1	the	the	DET
cana-5234	45	2	efficiency	efficiency	NOUN
cana-5234	45	3	and	and	CCONJ
cana-5234	45	4	precision	precision	NOUN
cana-5234	45	5	of	of	ADP
cana-5234	45	6	the	the	DET
cana-5234	45	7	covid	covid	PROPN
cana-5234	45	8	body	body	NOUN
cana-5234	45	9	extraction	extraction	NOUN
cana-5234	45	10	were	be	AUX
cana-5234	45	11	much	much	ADV
cana-5234	45	12	enhanced	enhanced	ADJ
cana-5234	45	13	after	after	ADP
cana-5234	45	14	the	the	DET
cana-5234	45	15	implementation	implementation	NOUN
cana-5234	45	16	of	of	ADP
cana-5234	45	17	these	these	DET
cana-5234	45	18	end	end	NOUN
cana-5234	45	19	-	-	PUNCT
cana-5234	45	20	to	to	ADP
cana-5234	45	21	-	-	PUNCT
cana-5234	45	22	end	end	NOUN
cana-5234	45	23	cnns	cnn	NOUN
cana-5234	45	24	.	.	PUNCT
cana-5234	46	1	employing	employ	VERB
cana-5234	46	2	cnns	cnn	NOUN
cana-5234	46	3	for	for	ADP
cana-5234	46	4	covid	covid	PROPN
cana-5234	46	5	body	body	NOUN
cana-5234	46	6	extraction	extraction	NOUN
cana-5234	46	7	presents	present	VERB
cana-5234	46	8	a	a	DET
cana-5234	46	9	number	number	NOUN
cana-5234	46	10	of	of	ADP
cana-5234	46	11	communications	communication	NOUN
cana-5234	46	12	on	on	ADP
cana-5234	46	13	applied	apply	VERB
cana-5234	46	14	nonlinear	nonlinear	ADJ
cana-5234	46	15	analysis	analysis	NOUN
cana-5234	46	16	issn	issn	NOUN
cana-5234	46	17	:	:	PUNCT
cana-5234	46	18	1074	1074	NUM
cana-5234	46	19	-	-	PUNCT
cana-5234	46	20	133x	133x	NUM
cana-5234	46	21	vol	vol	VERB
cana-5234	46	22	32	32	NUM
cana-5234	46	23	no	no	NOUN
cana-5234	46	24	.	.	PUNCT
cana-5234	47	1	10s	10	NOUN
cana-5234	47	2	(	(	PUNCT
cana-5234	47	3	2025	2025	NUM
cana-5234	47	4	)	)	PUNCT
cana-5234	47	5	1309	1309	NUM
cana-5234	47	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5234	47	7	difficulties	difficulty	NOUN
cana-5234	47	8	.	.	PUNCT
cana-5234	48	1	forward	forward	ADJ
cana-5234	48	2	propagation	propagation	NOUN
cana-5234	48	3	loses	lose	VERB
cana-5234	48	4	fine	fine	ADV
cana-5234	48	5	-	-	PUNCT
cana-5234	48	6	grained	grain	VERB
cana-5234	48	7	covid	covid	PROPN
cana-5234	48	8	body	body	NOUN
cana-5234	48	9	information	information	NOUN
cana-5234	48	10	due	due	ADP
cana-5234	48	11	to	to	ADP
cana-5234	48	12	the	the	DET
cana-5234	48	13	repeated	repeat	VERB
cana-5234	48	14	max	max	PROPN
cana-5234	48	15	-	-	PUNCT
cana-5234	48	16	pooling	pool	VERB
cana-5234	48	17	layers	layer	NOUN
cana-5234	48	18	reducing	reduce	VERB
cana-5234	48	19	the	the	DET
cana-5234	48	20	feature	feature	NOUN
cana-5234	48	21	map	map	NOUN
cana-5234	48	22	resolution	resolution	NOUN
cana-5234	48	23	.	.	PUNCT
cana-5234	49	1	in	in	ADP
cana-5234	49	2	addition	addition	NOUN
cana-5234	49	3	,	,	PUNCT
cana-5234	49	4	feature	feature	NOUN
cana-5234	49	5	maps	map	NOUN
cana-5234	49	6	with	with	ADP
cana-5234	49	7	distinct	distinct	ADJ
cana-5234	49	8	pixel	pixel	PROPN
cana-5234	49	9	receptive	receptive	ADJ
cana-5234	49	10	fields	field	NOUN
cana-5234	49	11	enable	enable	VERB
cana-5234	49	12	feature	feature	NOUN
cana-5234	49	13	information	information	NOUN
cana-5234	49	14	storage	storage	NOUN
cana-5234	49	15	at	at	ADP
cana-5234	49	16	multiple	multiple	ADJ
cana-5234	49	17	scales	scale	NOUN
cana-5234	49	18	;	;	PUNCT
cana-5234	49	19	this	this	PRON
cana-5234	49	20	is	be	AUX
cana-5234	49	21	because	because	SCONJ
cana-5234	49	22	feature	feature	NOUN
cana-5234	49	23	maps	map	NOUN
cana-5234	49	24	produced	produce	VERB
cana-5234	49	25	at	at	ADP
cana-5234	49	26	different	different	ADJ
cana-5234	49	27	depths	depth	NOUN
cana-5234	49	28	by	by	ADP
cana-5234	49	29	convolutional	convolutional	ADJ
cana-5234	49	30	layers	layer	NOUN
cana-5234	49	31	[	[	X
cana-5234	49	32	22	22	NUM
cana-5234	49	33	]	]	PUNCT
cana-5234	49	34	are	be	AUX
cana-5234	49	35	not	not	PART
cana-5234	49	36	the	the	DET
cana-5234	49	37	same	same	ADJ
cana-5234	49	38	.	.	PUNCT
cana-5234	50	1	merging	merge	VERB
cana-5234	50	2	characteristics	characteristic	NOUN
cana-5234	50	3	extracted	extract	VERB
cana-5234	50	4	at	at	ADP
cana-5234	50	5	different	different	ADJ
cana-5234	50	6	scales	scale	NOUN
cana-5234	50	7	in	in	ADP
cana-5234	50	8	covid	covid	PROPN
cana-5234	50	9	body	body	NOUN
cana-5234	50	10	extraction	extraction	NOUN
cana-5234	50	11	is	be	AUX
cana-5234	50	12	an	an	DET
cana-5234	50	13	area	area	NOUN
cana-5234	50	14	that	that	PRON
cana-5234	50	15	is	be	AUX
cana-5234	50	16	now	now	ADV
cana-5234	50	17	under	under	ADV
cana-5234	50	18	-	-	PUNCT
cana-5234	50	19	researched	research	VERB
cana-5234	50	20	.	.	PUNCT
cana-5234	51	1	as	as	ADP
cana-5234	51	2	for	for	ADP
cana-5234	51	3	classification	classification	NOUN
cana-5234	51	4	[	[	X
cana-5234	51	5	21,22	21,22	NOUN
cana-5234	51	6	]	]	X
cana-5234	51	7	,	,	PUNCT
cana-5234	51	8	building	build	VERB
cana-5234	51	9	detection	detection	NOUN
cana-5234	51	10	[	[	X
cana-5234	51	11	23	23	NUM
cana-5234	51	12	-	-	SYM
cana-5234	51	13	25	25	NUM
cana-5234	51	14	]	]	PUNCT
cana-5234	51	15	,	,	PUNCT
cana-5234	51	16	road	road	NOUN
cana-5234	51	17	detection	detection	NOUN
cana-5234	51	18	[	[	X
cana-5234	51	19	26	26	NUM
cana-5234	51	20	-	-	SYM
cana-5234	51	21	28	28	NUM
cana-5234	51	22	]	]	PUNCT
cana-5234	51	23	,	,	PUNCT
cana-5234	51	24	and	and	CCONJ
cana-5234	51	25	covid	covid	PROPN
cana-5234	51	26	body	body	NOUN
cana-5234	51	27	extraction	extraction	NOUN
cana-5234	51	28	[	[	X
cana-5234	51	29	21,23,29	21,23,29	NUM
cana-5234	51	30	]	]	X
cana-5234	51	31	,	,	PUNCT
cana-5234	51	32	several	several	ADJ
cana-5234	51	33	researchers	researcher	NOUN
cana-5234	51	34	have	have	AUX
cana-5234	51	35	developed	develop	VERB
cana-5234	51	36	variants	variant	NOUN
cana-5234	51	37	of	of	ADP
cana-5234	51	38	u	u	NOUN
cana-5234	51	39	-	-	NOUN
cana-5234	51	40	net	net	NOUN
cana-5234	51	41	for	for	ADP
cana-5234	51	42	different	different	ADJ
cana-5234	51	43	covid	covid	PROPN
cana-5234	51	44	applications	application	NOUN
cana-5234	51	45	.	.	PUNCT
cana-5234	52	1	zhang	zhang	PROPN
cana-5234	52	2	,	,	PUNCT
cana-5234	52	3	z.	z.	PROPN
cana-5234	53	1	[	[	X
cana-5234	53	2	18	18	NUM
cana-5234	53	3	]	]	PUNCT
cana-5234	53	4	states	state	VERB
cana-5234	53	5	that	that	SCONJ
cana-5234	53	6	extremely	extremely	ADV
cana-5234	53	7	high	high	ADJ
cana-5234	53	8	-	-	PUNCT
cana-5234	53	9	resolution	resolution	NOUN
cana-5234	53	10	images	image	NOUN
cana-5234	53	11	of	of	ADP
cana-5234	53	12	covid	covid	PROPN
cana-5234	53	13	can	can	AUX
cana-5234	53	14	have	have	VERB
cana-5234	53	15	their	their	PRON
cana-5234	53	16	bodies	body	NOUN
cana-5234	53	17	extracted	extract	VERB
cana-5234	53	18	using	use	VERB
cana-5234	53	19	a	a	DET
cana-5234	53	20	deep	deep	ADJ
cana-5234	53	21	convolutional	convolutional	ADJ
cana-5234	53	22	encoder	encoder	NOUN
cana-5234	53	23	-	-	PUNCT
cana-5234	53	24	decoder	decoder	NOUN
cana-5234	53	25	(	(	PUNCT
cana-5234	53	26	dced	dced	ADJ
cana-5234	53	27	)	)	PUNCT
cana-5234	53	28	architecture	architecture	NOUN
cana-5234	53	29	.	.	PUNCT
cana-5234	54	1	deep	deep	ADJ
cana-5234	54	2	unet	unet	NOUN
cana-5234	54	3	,	,	PUNCT
cana-5234	54	4	on	on	ADP
cana-5234	54	5	the	the	DET
cana-5234	54	6	other	other	ADJ
cana-5234	54	7	hand	hand	NOUN
cana-5234	54	8	,	,	PUNCT
cana-5234	54	9	foresaw	foresaw	VERB
cana-5234	54	10	up	up	ADP
cana-5234	54	11	sampling	sample	VERB
cana-5234	54	12	-	-	PUNCT
cana-5234	54	13	induced	induced	ADJ
cana-5234	54	14	blurring	blurring	NOUN
cana-5234	54	15	of	of	ADP
cana-5234	54	16	the	the	DET
cana-5234	54	17	covid-19	covid-19	PROPN
cana-5234	54	18	boundary	boundary	ADJ
cana-5234	54	19	pixels	pixel	NOUN
cana-5234	54	20	as	as	ADP
cana-5234	54	21	a	a	DET
cana-5234	54	22	source	source	NOUN
cana-5234	54	23	of	of	ADP
cana-5234	54	24	inaccurate	inaccurate	ADJ
cana-5234	54	25	results	result	NOUN
cana-5234	54	26	.	.	PUNCT
cana-5234	55	1	a	a	DET
cana-5234	55	2	model	model	NOUN
cana-5234	55	3	called	call	VERB
cana-5234	55	4	fully	fully	ADV
cana-5234	55	5	connected	connect	VERB
cana-5234	55	6	crf	crf	PROPN
cana-5234	55	7	(	(	PUNCT
cana-5234	55	8	fccrf	fccrf	NOUN
cana-5234	55	9	)	)	PUNCT
cana-5234	55	10	was	be	AUX
cana-5234	55	11	employed	employ	VERB
cana-5234	55	12	to	to	PART
cana-5234	55	13	reduce	reduce	VERB
cana-5234	55	14	the	the	DET
cana-5234	55	15	blurring	blur	VERB
cana-5234	55	16	effect	effect	NOUN
cana-5234	55	17	[	[	X
cana-5234	55	18	30	30	NUM
cana-5234	55	19	]	]	PUNCT
cana-5234	55	20	.	.	PUNCT
cana-5234	56	1	the	the	DET
cana-5234	56	2	local	local	ADJ
cana-5234	56	3	structure	structure	NOUN
cana-5234	56	4	information	information	NOUN
cana-5234	56	5	of	of	ADP
cana-5234	56	6	the	the	DET
cana-5234	56	7	covid	covid	PROPN
cana-5234	56	8	body	body	NOUN
cana-5234	56	9	and	and	CCONJ
cana-5234	56	10	its	its	PRON
cana-5234	56	11	boundary	boundary	ADJ
cana-5234	56	12	pixels	pixel	NOUN
cana-5234	56	13	were	be	AUX
cana-5234	56	14	lost	lose	VERB
cana-5234	56	15	by	by	ADP
cana-5234	56	16	fccrf	fccrf	NOUN
cana-5234	56	17	as	as	ADP
cana-5234	56	18	a	a	DET
cana-5234	56	19	result	result	NOUN
cana-5234	56	20	of	of	ADP
cana-5234	56	21	the	the	DET
cana-5234	56	22	smoothing	smooth	VERB
cana-5234	56	23	effect	effect	NOUN
cana-5234	56	24	[	[	X
cana-5234	56	25	20	20	NUM
cana-5234	56	26	]	]	PUNCT
cana-5234	56	27	.	.	PUNCT
cana-5234	57	1	the	the	DET
cana-5234	57	2	answer	answer	NOUN
cana-5234	57	3	to	to	ADP
cana-5234	57	4	the	the	DET
cana-5234	57	5	problem	problem	NOUN
cana-5234	57	6	was	be	AUX
cana-5234	57	7	the	the	DET
cana-5234	57	8	use	use	NOUN
cana-5234	57	9	of	of	ADP
cana-5234	57	10	regional	regional	ADJ
cana-5234	57	11	restriction	restriction	NOUN
cana-5234	57	12	(	(	PUNCT
cana-5234	57	13	rr	rr	NOUN
cana-5234	57	14	)	)	PUNCT
cana-5234	57	15	and	and	CCONJ
cana-5234	57	16	increased	increase	VERB
cana-5234	57	17	covid	covid	PROPN
cana-5234	57	18	body	body	NOUN
cana-5234	57	19	borders	border	NOUN
cana-5234	57	20	,	,	PUNCT
cana-5234	57	21	which	which	PRON
cana-5234	57	22	helped	help	VERB
cana-5234	57	23	with	with	ADP
cana-5234	57	24	prediction	prediction	NOUN
cana-5234	57	25	.	.	PUNCT
cana-5234	58	1	a	a	PRON
cana-5234	58	2	and	and	CCONJ
cana-5234	58	3	ronneberger	ronneberger	NOUN
cana-5234	58	4	o	o	NOUN
cana-5234	58	5	proposed	propose	VERB
cana-5234	58	6	in	in	ADP
cana-5234	58	7	their	their	PRON
cana-5234	58	8	2015	2015	NUM
cana-5234	58	9	and	and	CCONJ
cana-5234	58	10	2019	2019	NUM
cana-5234	58	11	papers	paper	NOUN
cana-5234	58	12	,	,	PUNCT
cana-5234	58	13	respectively	respectively	ADV
cana-5234	58	14	,	,	PUNCT
cana-5234	58	15	the	the	DET
cana-5234	58	16	use	use	NOUN
cana-5234	58	17	of	of	ADP
cana-5234	58	18	ternausnet	ternausnet	NOUN
cana-5234	58	19	for	for	ADP
cana-5234	58	20	covid	covid	PROPN
cana-5234	58	21	body	body	NOUN
cana-5234	58	22	segmentation	segmentation	NOUN
cana-5234	59	1	[	[	X
cana-5234	59	2	23	23	NUM
cana-5234	59	3	]	]	PUNCT
cana-5234	59	4	.	.	PUNCT
cana-5234	60	1	the	the	DET
cana-5234	60	2	number	number	NOUN
cana-5234	60	3	33	33	NUM
cana-5234	60	4	,	,	PUNCT
cana-5234	60	5	where	where	SCONJ
cana-5234	60	6	a	a	DET
cana-5234	60	7	knowledge	knowledge	NOUN
cana-5234	60	8	-	-	PUNCT
cana-5234	60	9	transfer	transfer	NOUN
cana-5234	60	10	model	model	NOUN
cana-5234	60	11	was	be	AUX
cana-5234	60	12	used	use	VERB
cana-5234	60	13	to	to	PART
cana-5234	60	14	link	link	VERB
cana-5234	60	15	tagged	tag	VERB
cana-5234	60	16	,	,	PUNCT
cana-5234	60	17	high	high	ADJ
cana-5234	60	18	-	-	PUNCT
cana-5234	60	19	resolution	resolution	NOUN
cana-5234	60	20	images	image	NOUN
cana-5234	60	21	.	.	PUNCT
cana-5234	61	1	disappointing	disappointing	ADJ
cana-5234	61	2	prediction	prediction	NOUN
cana-5234	61	3	results	result	NOUN
cana-5234	61	4	are	be	AUX
cana-5234	61	5	a	a	DET
cana-5234	61	6	result	result	NOUN
cana-5234	61	7	of	of	ADP
cana-5234	61	8	the	the	DET
cana-5234	61	9	disparity	disparity	NOUN
cana-5234	61	10	in	in	ADP
cana-5234	61	11	the	the	DET
cana-5234	61	12	spatial	spatial	ADJ
cana-5234	61	13	and	and	CCONJ
cana-5234	61	14	spectral	spectral	ADJ
cana-5234	61	15	information	information	NOUN
cana-5234	61	16	distribution	distribution	NOUN
cana-5234	61	17	between	between	ADP
cana-5234	61	18	high	high	ADJ
cana-5234	61	19	resolution	resolution	NOUN
cana-5234	61	20	and	and	CCONJ
cana-5234	61	21	ultra	ultra	ADJ
cana-5234	61	22	-	-	ADJ
cana-5234	61	23	high	high	ADJ
cana-5234	61	24	resolution	resolution	NOUN
cana-5234	61	25	images	image	NOUN
cana-5234	61	26	.	.	PUNCT
cana-5234	62	1	this	this	DET
cana-5234	62	2	defect	defect	NOUN
cana-5234	62	3	causes	cause	VERB
cana-5234	62	4	the	the	DET
cana-5234	62	5	model	model	NOUN
cana-5234	62	6	to	to	PART
cana-5234	62	7	wrongly	wrongly	VERB
cana-5234	62	8	segment	segment	NOUN
cana-5234	62	9	scenes	scene	NOUN
cana-5234	62	10	that	that	PRON
cana-5234	62	11	contain	contain	VERB
cana-5234	62	12	covid-19	covid-19	PROPN
cana-5234	62	13	entities	entity	NOUN
cana-5234	62	14	with	with	ADP
cana-5234	62	15	differing	differ	VERB
cana-5234	62	16	spectral	spectral	ADJ
cana-5234	62	17	properties	property	NOUN
cana-5234	62	18	,	,	PUNCT
cana-5234	62	19	in	in	ADP
cana-5234	62	20	addition	addition	NOUN
cana-5234	62	21	to	to	ADP
cana-5234	62	22	failing	fail	VERB
cana-5234	62	23	to	to	PART
cana-5234	62	24	segment	segment	VERB
cana-5234	62	25	on	on	ADP
cana-5234	62	26	many	many	ADJ
cana-5234	62	27	occasions	occasion	NOUN
cana-5234	62	28	.	.	PUNCT
cana-5234	63	1	transferring	transfer	VERB
cana-5234	63	2	knowledge	knowledge	NOUN
cana-5234	63	3	from	from	ADP
cana-5234	63	4	high	high	ADJ
cana-5234	63	5	-	-	PUNCT
cana-5234	63	6	resolution	resolution	NOUN
cana-5234	63	7	to	to	ADP
cana-5234	63	8	very	very	ADV
cana-5234	63	9	high	high	ADJ
cana-5234	63	10	-	-	PUNCT
cana-5234	63	11	resolution	resolution	NOUN
cana-5234	63	12	photos	photo	NOUN
cana-5234	63	13	did	do	AUX
cana-5234	63	14	not	not	PART
cana-5234	63	15	enhance	enhance	VERB
cana-5234	63	16	the	the	DET
cana-5234	63	17	efficiency	efficiency	NOUN
cana-5234	63	18	or	or	CCONJ
cana-5234	63	19	effectiveness	effectiveness	NOUN
cana-5234	63	20	of	of	ADP
cana-5234	63	21	the	the	DET
cana-5234	63	22	segmentation	segmentation	NOUN
cana-5234	63	23	.	.	PUNCT
cana-5234	64	1	although	although	SCONJ
cana-5234	64	2	the	the	DET
cana-5234	64	3	majority	majority	NOUN
cana-5234	64	4	of	of	ADP
cana-5234	64	5	the	the	DET
cana-5234	64	6	aforementioned	aforementioned	ADJ
cana-5234	64	7	designs	design	NOUN
cana-5234	64	8	demonstrated	demonstrate	VERB
cana-5234	64	9	outstanding	outstanding	ADJ
cana-5234	64	10	performance	performance	NOUN
cana-5234	64	11	,	,	PUNCT
cana-5234	64	12	the	the	DET
cana-5234	64	13	computational	computational	ADJ
cana-5234	64	14	complexity	complexity	NOUN
cana-5234	64	15	was	be	AUX
cana-5234	64	16	increased	increase	VERB
cana-5234	64	17	due	due	ADP
cana-5234	64	18	to	to	ADP
cana-5234	64	19	the	the	DET
cana-5234	64	20	large	large	ADJ
cana-5234	64	21	number	number	NOUN
cana-5234	64	22	of	of	ADP
cana-5234	64	23	trainable	trainable	ADJ
cana-5234	64	24	parameters	parameter	NOUN
cana-5234	64	25	.	.	PUNCT
cana-5234	65	1	both	both	DET
cana-5234	65	2	ronneberger	ronneberger	NOUN
cana-5234	65	3	et	et	PROPN
cana-5234	65	4	al	al	PROPN
cana-5234	65	5	.	.	PUNCT
cana-5234	66	1	[	[	X
cana-5234	66	2	24	24	NUM
cana-5234	66	3	]	]	PUNCT
cana-5234	66	4	and	and	CCONJ
cana-5234	66	5	h.	h.	PROPN
cana-5234	66	6	xiangyun	xiangyun	PROPN
cana-5234	66	7	et	et	PROPN
cana-5234	66	8	al	al	PROPN
cana-5234	66	9	.	.	PUNCT
cana-5234	67	1	[	[	X
cana-5234	67	2	25	25	NUM
cana-5234	67	3	]	]	PUNCT
cana-5234	67	4	laid	lay	VERB
cana-5234	67	5	the	the	DET
cana-5234	67	6	groundwork	groundwork	NOUN
cana-5234	67	7	for	for	ADP
cana-5234	67	8	the	the	DET
cana-5234	67	9	w	w	NOUN
cana-5234	67	10	-	-	NOUN
cana-5234	67	11	net	net	NOUN
cana-5234	67	12	that	that	PRON
cana-5234	67	13	is	be	AUX
cana-5234	67	14	now	now	ADV
cana-5234	67	15	being	be	AUX
cana-5234	67	16	considered	consider	VERB
cana-5234	67	17	.	.	PUNCT
cana-5234	68	1	its	its	PRON
cana-5234	68	2	superior	superior	ADJ
cana-5234	68	3	performance	performance	NOUN
cana-5234	68	4	allows	allow	VERB
cana-5234	68	5	it	it	PRON
cana-5234	68	6	to	to	PART
cana-5234	68	7	compete	compete	VERB
cana-5234	68	8	with	with	ADP
cana-5234	68	9	other	other	ADJ
cana-5234	68	10	techniques	technique	NOUN
cana-5234	68	11	,	,	PUNCT
cana-5234	68	12	such	such	ADJ
cana-5234	68	13	as	as	ADP
cana-5234	68	14	the	the	DET
cana-5234	68	15	one	one	NOUN
cana-5234	68	16	proposed	propose	VERB
cana-5234	68	17	by	by	ADP
cana-5234	68	18	meng	meng	PROPN
cana-5234	68	19	chen	chen	PROPN
cana-5234	68	20	et	et	PROPN
cana-5234	68	21	al	al	PROPN
cana-5234	68	22	.	.	PUNCT
cana-5234	69	1	[	[	X
cana-5234	69	2	23	23	NUM
cana-5234	69	3	]	]	PUNCT
cana-5234	69	4	.	.	PUNCT
cana-5234	70	1	however	however	ADV
cana-5234	70	2	,	,	PUNCT
cana-5234	70	3	because	because	SCONJ
cana-5234	70	4	of	of	ADP
cana-5234	70	5	the	the	DET
cana-5234	70	6	uneven	uneven	ADJ
cana-5234	70	7	alignment	alignment	NOUN
cana-5234	70	8	of	of	ADP
cana-5234	70	9	boundary	boundary	ADJ
cana-5234	70	10	pixels	pixel	NOUN
cana-5234	70	11	and	and	CCONJ
cana-5234	70	12	the	the	DET
cana-5234	70	13	huge	huge	ADJ
cana-5234	70	14	number	number	NOUN
cana-5234	70	15	of	of	ADP
cana-5234	70	16	covid	covid	NOUN
cana-5234	70	17	training	training	NOUN
cana-5234	70	18	picture	picture	NOUN
cana-5234	70	19	samples	sample	NOUN
cana-5234	70	20	,	,	PUNCT
cana-5234	70	21	there	there	PRON
cana-5234	70	22	is	be	VERB
cana-5234	70	23	insufficient	insufficient	ADJ
cana-5234	70	24	data	datum	NOUN
cana-5234	70	25	to	to	PART
cana-5234	70	26	investigate	investigate	VERB
cana-5234	70	27	the	the	DET
cana-5234	70	28	automatic	automatic	ADJ
cana-5234	70	29	extraction	extraction	NOUN
cana-5234	70	30	of	of	ADP
cana-5234	70	31	covid	covid	PROPN
cana-5234	70	32	body	body	NOUN
cana-5234	70	33	segmentation	segmentation	NOUN
cana-5234	70	34	from	from	ADP
cana-5234	70	35	medical	medical	ADJ
cana-5234	70	36	covid	covid	PROPN
cana-5234	70	37	images	image	NOUN
cana-5234	70	38	.	.	PUNCT
cana-5234	71	1	to	to	PART
cana-5234	71	2	improve	improve	VERB
cana-5234	71	3	the	the	DET
cana-5234	71	4	efficiency	efficiency	NOUN
cana-5234	71	5	of	of	ADP
cana-5234	71	6	automatic	automatic	ADJ
cana-5234	71	7	body	body	NOUN
cana-5234	71	8	segmentation	segmentation	NOUN
cana-5234	71	9	using	use	VERB
cana-5234	71	10	medical	medical	ADJ
cana-5234	71	11	covid	covid	PROPN
cana-5234	71	12	images	image	NOUN
cana-5234	71	13	,	,	PUNCT
cana-5234	71	14	we	we	PRON
cana-5234	71	15	present	present	VERB
cana-5234	71	16	an	an	DET
cana-5234	71	17	innovative	innovative	ADJ
cana-5234	71	18	optimized	optimize	VERB
cana-5234	71	19	multi	multi	ADJ
cana-5234	71	20	-	-	ADJ
cana-5234	71	21	feature	feature	ADJ
cana-5234	71	22	contour	contour	NOUN
cana-5234	71	23	-	-	PUNCT
cana-5234	71	24	based	base	VERB
cana-5234	71	25	hierarchical	hierarchical	ADJ
cana-5234	71	26	neural	neural	ADJ
cana-5234	71	27	network	network	NOUN
cana-5234	71	28	(	(	PUNCT
cana-5234	71	29	omfchnn	omfchnn	PROPN
cana-5234	71	30	)	)	PUNCT
cana-5234	71	31	.	.	PUNCT
cana-5234	72	1	omfchnn	omfchnn	PROPN
cana-5234	72	2	finds	find	VERB
cana-5234	72	3	the	the	DET
cana-5234	72	4	network	network	NOUN
cana-5234	72	5	's	's	PART
cana-5234	72	6	position	position	NOUN
cana-5234	72	7	by	by	ADP
cana-5234	72	8	extracting	extract	VERB
cana-5234	72	9	features	feature	NOUN
cana-5234	72	10	using	use	VERB
cana-5234	72	11	an	an	DET
cana-5234	72	12	enlarged	enlarge	VERB
cana-5234	72	13	neural	neural	ADJ
cana-5234	72	14	network	network	NOUN
cana-5234	72	15	layer	layer	NOUN
cana-5234	72	16	.	.	PUNCT
cana-5234	73	1	enhanced	enhance	VERB
cana-5234	73	2	feature	feature	NOUN
cana-5234	73	3	extraction	extraction	NOUN
cana-5234	73	4	and	and	CCONJ
cana-5234	73	5	pixel	pixel	PROPN
cana-5234	73	6	matching	matching	NOUN
cana-5234	73	7	are	be	AUX
cana-5234	73	8	the	the	DET
cana-5234	73	9	backbone	backbone	NOUN
cana-5234	73	10	of	of	ADP
cana-5234	73	11	the	the	DET
cana-5234	73	12	suggested	suggest	VERB
cana-5234	73	13	method	method	NOUN
cana-5234	73	14	.	.	PUNCT
cana-5234	74	1	another	another	DET
cana-5234	74	2	method	method	NOUN
cana-5234	74	3	that	that	PRON
cana-5234	74	4	uses	use	VERB
cana-5234	74	5	picture	picture	NOUN
cana-5234	74	6	globalization	globalization	NOUN
cana-5234	74	7	to	to	PART
cana-5234	74	8	find	find	VERB
cana-5234	74	9	contours	contours	NOUN
cana-5234	74	10	is	be	AUX
cana-5234	74	11	contour	contour	NOUN
cana-5234	74	12	map	map	NOUN
cana-5234	74	13	optimization	optimization	NOUN
cana-5234	74	14	.	.	PUNCT
cana-5234	75	1	the	the	DET
cana-5234	75	2	segmentation	segmentation	NOUN
cana-5234	75	3	step	step	NOUN
cana-5234	75	4	of	of	ADP
cana-5234	75	5	this	this	DET
cana-5234	75	6	approach	approach	NOUN
cana-5234	75	7	uses	use	VERB
cana-5234	75	8	a	a	DET
cana-5234	75	9	predefined	predefine	VERB
cana-5234	75	10	hierarchical	hierarchical	ADJ
cana-5234	75	11	region	region	NOUN
cana-5234	75	12	to	to	PART
cana-5234	75	13	pass	pass	VERB
cana-5234	75	14	the	the	DET
cana-5234	75	15	results	result	NOUN
cana-5234	75	16	of	of	ADP
cana-5234	75	17	one	one	NUM
cana-5234	75	18	contour	contour	NOUN
cana-5234	75	19	detection	detection	NOUN
cana-5234	75	20	stage	stage	NOUN
cana-5234	75	21	onto	onto	ADP
cana-5234	75	22	the	the	DET
cana-5234	75	23	next	next	ADJ
cana-5234	75	24	.	.	PUNCT
cana-5234	76	1	in	in	ADP
cana-5234	76	2	studies	study	NOUN
cana-5234	76	3	employing	employ	VERB
cana-5234	76	4	real	real	ADJ
cana-5234	76	5	-	-	PUNCT
cana-5234	76	6	time	time	NOUN
cana-5234	76	7	bioinformatic	bioinformatic	ADJ
cana-5234	76	8	covid-19	covid-19	PROPN
cana-5234	76	9	pictures	picture	NOUN
cana-5234	76	10	,	,	PUNCT
cana-5234	76	11	the	the	DET
cana-5234	76	12	suggested	suggest	VERB
cana-5234	76	13	method	method	NOUN
cana-5234	76	14	achieves	achieve	VERB
cana-5234	76	15	high	high	ADJ
cana-5234	76	16	levels	level	NOUN
cana-5234	76	17	of	of	ADP
cana-5234	76	18	accuracy	accuracy	NOUN
cana-5234	76	19	in	in	ADP
cana-5234	76	20	medical	medical	ADJ
cana-5234	76	21	image	image	NOUN
cana-5234	76	22	segmentation	segmentation	NOUN
cana-5234	76	23	based	base	VERB
cana-5234	76	24	on	on	ADP
cana-5234	76	25	recall	recall	NOUN
cana-5234	76	26	,	,	PUNCT
cana-5234	76	27	precision	precision	NOUN
cana-5234	76	28	,	,	PUNCT
cana-5234	76	29	and	and	CCONJ
cana-5234	76	30	other	other	ADJ
cana-5234	76	31	metrics	metric	NOUN
cana-5234	76	32	.	.	PUNCT
cana-5234	77	1	what	what	PRON
cana-5234	77	2	the	the	DET
cana-5234	77	3	proposed	propose	VERB
cana-5234	77	4	approach	approach	NOUN
cana-5234	77	5	basically	basically	ADV
cana-5234	77	6	does	do	AUX
cana-5234	77	7	is	be	AUX
cana-5234	77	8	add	add	VERB
cana-5234	77	9	:	:	PUNCT
cana-5234	77	10	i	i	NOUN
cana-5234	77	11	)	)	PUNCT
cana-5234	77	12	covid	covid	PROPN
cana-5234	77	13	pictures	picture	NOUN
cana-5234	77	14	captured	capture	VERB
cana-5234	77	15	in	in	ADP
cana-5234	77	16	difficult	difficult	ADJ
cana-5234	77	17	environments	environment	NOUN
cana-5234	77	18	should	should	AUX
cana-5234	77	19	be	be	AUX
cana-5234	77	20	processed	process	VERB
cana-5234	77	21	using	use	VERB
cana-5234	77	22	feature	feature	NOUN
cana-5234	77	23	extraction	extraction	NOUN
cana-5234	77	24	at	at	ADP
cana-5234	77	25	high	high	ADJ
cana-5234	77	26	resolution	resolution	NOUN
cana-5234	77	27	and	and	CCONJ
cana-5234	77	28	across	across	ADP
cana-5234	77	29	multiple	multiple	ADJ
cana-5234	77	30	scales	scale	NOUN
cana-5234	77	31	in	in	ADP
cana-5234	77	32	order	order	NOUN
cana-5234	77	33	to	to	PART
cana-5234	77	34	recover	recover	VERB
cana-5234	77	35	covidbodies	covidbodie	NOUN
cana-5234	77	36	.	.	PUNCT
cana-5234	78	1	the	the	DET
cana-5234	78	2	basic	basic	ADJ
cana-5234	78	3	picture	picture	NOUN
cana-5234	78	4	of	of	ADP
cana-5234	78	5	encoding	encode	VERB
cana-5234	78	6	and	and	CCONJ
cana-5234	78	7	decoding	decode	VERB
cana-5234	78	8	in	in	ADP
cana-5234	78	9	convolutional	convolutional	ADJ
cana-5234	78	10	neural	neural	ADJ
cana-5234	78	11	network	network	NOUN
cana-5234	78	12	(	(	PUNCT
cana-5234	78	13	cnn	cnn	PROPN
cana-5234	78	14	)	)	PUNCT
cana-5234	78	15	feature	feature	NOUN
cana-5234	78	16	extraction	extraction	NOUN
cana-5234	78	17	is	be	AUX
cana-5234	78	18	combined	combine	VERB
cana-5234	78	19	with	with	ADP
cana-5234	78	20	responsive	responsive	ADJ
cana-5234	78	21	feature	feature	NOUN
cana-5234	78	22	data	datum	NOUN
cana-5234	78	23	from	from	ADP
cana-5234	78	24	lower	low	ADJ
cana-5234	78	25	and	and	CCONJ
cana-5234	78	26	higher	high	ADJ
cana-5234	78	27	level	level	NOUN
cana-5234	78	28	pixels	pixel	NOUN
cana-5234	78	29	to	to	PART
cana-5234	78	30	build	build	VERB
cana-5234	78	31	an	an	DET
cana-5234	78	32	ideal	ideal	ADJ
cana-5234	78	33	multi	multi	ADJ
cana-5234	78	34	-	-	ADJ
cana-5234	78	35	scale	scale	ADJ
cana-5234	78	36	feature	feature	NOUN
cana-5234	78	37	.	.	PUNCT
cana-5234	79	1	ii	ii	PROPN
cana-5234	79	2	)	)	PUNCT
cana-5234	79	3	ii	ii	PROPN
cana-5234	79	4	)	)	PUNCT
cana-5234	79	5	for	for	ADP
cana-5234	79	6	fine	fine	ADV
cana-5234	79	7	-	-	PUNCT
cana-5234	79	8	grained	grain	VERB
cana-5234	79	9	covid	covid	PROPN
cana-5234	79	10	body	body	NOUN
cana-5234	79	11	scanning	scanning	NOUN
cana-5234	79	12	,	,	PUNCT
cana-5234	79	13	we	we	PRON
cana-5234	79	14	present	present	VERB
cana-5234	79	15	a	a	DET
cana-5234	79	16	multi	multi	ADJ
cana-5234	79	17	-	-	ADJ
cana-5234	79	18	scale	scale	ADJ
cana-5234	79	19	feature	feature	NOUN
cana-5234	79	20	extraction	extraction	NOUN
cana-5234	79	21	method	method	NOUN
cana-5234	79	22	based	base	VERB
cana-5234	79	23	on	on	ADP
cana-5234	79	24	optimized	optimize	VERB
cana-5234	79	25	contour	contour	NOUN
cana-5234	79	26	detection	detection	NOUN
cana-5234	79	27	,	,	PUNCT
cana-5234	79	28	with	with	ADP
cana-5234	79	29	the	the	DET
cana-5234	79	30	aim	aim	NOUN
cana-5234	79	31	of	of	ADP
cana-5234	79	32	exploring	explore	VERB
cana-5234	79	33	the	the	DET
cana-5234	79	34	feasibility	feasibility	NOUN
cana-5234	79	35	of	of	ADP
cana-5234	79	36	enhancing	enhance	VERB
cana-5234	79	37	the	the	DET
cana-5234	79	38	segmentation	segmentation	NOUN
cana-5234	79	39	results	result	NOUN
cana-5234	79	40	from	from	ADP
cana-5234	79	41	different	different	ADJ
cana-5234	79	42	labels	label	NOUN
cana-5234	79	43	.	.	PUNCT
cana-5234	80	1	iii	iii	X
cana-5234	80	2	)	)	PUNCT
cana-5234	81	1	we	we	PRON
cana-5234	81	2	proposed	propose	VERB
cana-5234	81	3	an	an	DET
cana-5234	81	4	associative	associative	ADJ
cana-5234	81	5	pixel	pixel	NOUN
cana-5234	81	6	matching	matching	NOUN
cana-5234	81	7	-	-	PUNCT
cana-5234	81	8	based	base	VERB
cana-5234	81	9	covid-19	covid-19	PROPN
cana-5234	81	10	body	body	NOUN
cana-5234	81	11	segmentation	segmentation	NOUN
cana-5234	81	12	approach	approach	NOUN
cana-5234	81	13	to	to	PART
cana-5234	81	14	improve	improve	VERB
cana-5234	81	15	performance	performance	NOUN
cana-5234	81	16	.	.	PUNCT
cana-5234	82	1	iv	iv	X
cana-5234	82	2	)	)	PUNCT
cana-5234	82	3	using	use	VERB
cana-5234	82	4	an	an	DET
cana-5234	82	5	optimized	optimize	VERB
cana-5234	82	6	pixel	pixel	NOUN
cana-5234	82	7	connection	connection	NOUN
cana-5234	82	8	approach	approach	NOUN
cana-5234	82	9	,	,	PUNCT
cana-5234	82	10	we	we	PRON
cana-5234	82	11	classify	classify	VERB
cana-5234	82	12	the	the	DET
cana-5234	82	13	segmented	segment	VERB
cana-5234	82	14	picture	picture	NOUN
cana-5234	82	15	with	with	ADP
cana-5234	82	16	outline	outline	NOUN
cana-5234	82	17	covid-19	covid-19	PROPN
cana-5234	82	18	body	body	NOUN
cana-5234	82	19	by	by	ADP
cana-5234	82	20	evaluating	evaluate	VERB
cana-5234	82	21	the	the	DET
cana-5234	82	22	foreground	foreground	NOUN
cana-5234	82	23	and	and	CCONJ
cana-5234	82	24	background	background	NOUN
cana-5234	82	25	image	image	NOUN
cana-5234	82	26	pixel	pixel	NOUN
cana-5234	82	27	processes	process	NOUN
cana-5234	82	28	.	.	PUNCT
cana-5234	83	1	communications	communication	NOUN
cana-5234	83	2	on	on	ADP
cana-5234	83	3	applied	apply	VERB
cana-5234	83	4	nonlinear	nonlinear	ADJ
cana-5234	83	5	analysis	analysis	NOUN
cana-5234	83	6	issn	issn	NOUN
cana-5234	83	7	:	:	PUNCT
cana-5234	83	8	1074	1074	NUM
cana-5234	83	9	-	-	PUNCT
cana-5234	83	10	133x	133x	NUM
cana-5234	83	11	vol	vol	VERB
cana-5234	83	12	32	32	NUM
cana-5234	83	13	no	no	NOUN
cana-5234	83	14	.	.	PUNCT
cana-5234	84	1	10s	10	NOUN
cana-5234	84	2	(	(	PUNCT
cana-5234	84	3	2025	2025	NUM
cana-5234	84	4	)	)	PUNCT
cana-5234	84	5	1310	1310	NUM
cana-5234	85	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-5234	85	2	2	2	X
cana-5234	85	3	.	.	PUNCT
cana-5234	85	4	materials	material	NOUN
cana-5234	85	5	and	and	CCONJ
cana-5234	85	6	methods	method	NOUN
cana-5234	85	7	2.1	2.1	NUM
cana-5234	85	8	.	.	PUNCT
cana-5234	86	1	area	area	NOUN
cana-5234	86	2	of	of	ADP
cana-5234	86	3	study	study	NOUN
cana-5234	86	4	in	in	ADP
cana-5234	86	5	this	this	DET
cana-5234	86	6	part	part	NOUN
cana-5234	86	7	,	,	PUNCT
cana-5234	86	8	we	we	PRON
cana-5234	86	9	will	will	AUX
cana-5234	86	10	go	go	VERB
cana-5234	86	11	over	over	ADP
cana-5234	86	12	the	the	DET
cana-5234	86	13	groundwork	groundwork	NOUN
cana-5234	86	14	for	for	ADP
cana-5234	86	15	medical	medical	ADJ
cana-5234	86	16	covid-19	covid-19	PROPN
cana-5234	86	17	body	body	NOUN
cana-5234	86	18	extraction	extraction	NOUN
cana-5234	86	19	segmentation	segmentation	NOUN
cana-5234	86	20	.	.	PUNCT
cana-5234	87	1	in	in	ADP
cana-5234	87	2	order	order	NOUN
cana-5234	87	3	to	to	PART
cana-5234	87	4	process	process	VERB
cana-5234	87	5	heterogonous	heterogonous	ADJ
cana-5234	87	6	features	feature	NOUN
cana-5234	87	7	in	in	ADP
cana-5234	87	8	identification	identification	NOUN
cana-5234	87	9	of	of	ADP
cana-5234	87	10	sampled	sample	VERB
cana-5234	87	11	binary	binary	ADJ
cana-5234	87	12	images	image	NOUN
cana-5234	87	13	and	and	CCONJ
cana-5234	87	14	multi	multi	ADJ
cana-5234	87	15	feature	feature	NOUN
cana-5234	87	16	labelled	label	VERB
cana-5234	87	17	covid	covid	PROPN
cana-5234	87	18	body	body	NOUN
cana-5234	87	19	segmented	segment	VERB
cana-5234	87	20	images	image	NOUN
cana-5234	87	21	,	,	PUNCT
cana-5234	87	22	the	the	DET
cana-5234	87	23	suggested	suggest	VERB
cana-5234	87	24	work	work	NOUN
cana-5234	87	25	builds	build	VERB
cana-5234	87	26	on	on	ADP
cana-5234	87	27	top	top	NOUN
cana-5234	87	28	of	of	ADP
cana-5234	87	29	convolutional	convolutional	ADJ
cana-5234	87	30	neural	neural	ADJ
cana-5234	87	31	networks	network	NOUN
cana-5234	87	32	with	with	ADP
cana-5234	87	33	optimal	optimal	ADJ
cana-5234	87	34	characterization	characterization	NOUN
cana-5234	87	35	of	of	ADP
cana-5234	87	36	multi	multi	ADJ
cana-5234	87	37	features	feature	NOUN
cana-5234	87	38	.	.	PUNCT
cana-5234	88	1	2.1.1	2.1.1	X
cana-5234	88	2	.	.	PUNCT
cana-5234	88	3	feature	feature	NOUN
cana-5234	88	4	extraction	extraction	NOUN
cana-5234	88	5	using	use	VERB
cana-5234	88	6	several	several	ADJ
cana-5234	88	7	scales	scale	NOUN
cana-5234	88	8	for	for	ADP
cana-5234	88	9	a	a	DET
cana-5234	88	10	multi	multi	ADJ
cana-5234	88	11	-	-	ADJ
cana-5234	88	12	featured	feature	VERB
cana-5234	88	13	mixed	mixed	ADJ
cana-5234	88	14	network	network	NOUN
cana-5234	88	15	,	,	PUNCT
cana-5234	88	16	three	three	NUM
cana-5234	88	17	distinct	distinct	ADJ
cana-5234	88	18	models	model	NOUN
cana-5234	88	19	are	be	AUX
cana-5234	88	20	described	describe	VERB
cana-5234	88	21	:	:	PUNCT
cana-5234	88	22	rlfe	rlfe	X
cana-5234	88	23	(	(	PUNCT
cana-5234	88	24	receptive	receptive	ADJ
cana-5234	88	25	longer	long	ADJ
cana-5234	88	26	feature	feature	NOUN
cana-5234	88	27	extraction	extraction	NOUN
cana-5234	88	28	)	)	PUNCT
cana-5234	88	29	,	,	PUNCT
cana-5234	88	30	cfe	cfe	PROPN
cana-5234	88	31	(	(	PUNCT
cana-5234	88	32	channel	channel	NOUN
cana-5234	88	33	-	-	PUNCT
cana-5234	88	34	based	base	VERB
cana-5234	88	35	feature	feature	NOUN
cana-5234	88	36	extraction	extraction	NOUN
cana-5234	88	37	)	)	PUNCT
cana-5234	88	38	,	,	PUNCT
cana-5234	88	39	and	and	CCONJ
cana-5234	88	40	lfe	lfe	PROPN
cana-5234	88	41	(	(	PUNCT
cana-5234	88	42	feature	feature	NOUN
cana-5234	88	43	extraction	extraction	NOUN
cana-5234	88	44	on	on	ADP
cana-5234	88	45	local	local	ADJ
cana-5234	88	46	variables	variable	NOUN
cana-5234	88	47	)	)	PUNCT
cana-5234	88	48	.	.	PUNCT
cana-5234	89	1	by	by	ADP
cana-5234	89	2	utilizing	utilize	VERB
cana-5234	89	3	lfe	lfe	PROPN
cana-5234	89	4	and	and	CCONJ
cana-5234	89	5	rlfe	rlfe	VERB
cana-5234	89	6	,	,	PUNCT
cana-5234	89	7	we	we	PRON
cana-5234	89	8	define	define	VERB
cana-5234	89	9	the	the	DET
cana-5234	89	10	spatial	spatial	ADJ
cana-5234	89	11	relationship	relationship	NOUN
cana-5234	89	12	between	between	ADP
cana-5234	89	13	linked	link	VERB
cana-5234	89	14	features	feature	NOUN
cana-5234	89	15	and	and	CCONJ
cana-5234	89	16	investigate	investigate	VERB
cana-5234	89	17	the	the	DET
cana-5234	89	18	maximum	maximum	ADJ
cana-5234	89	19	features	feature	NOUN
cana-5234	89	20	generated	generate	VERB
cana-5234	89	21	by	by	ADP
cana-5234	89	22	cross	cross	ADJ
cana-5234	89	23	-	-	ADJ
cana-5234	89	24	channel	channel	ADJ
cana-5234	89	25	feature	feature	NOUN
cana-5234	89	26	connections	connection	NOUN
cana-5234	89	27	.	.	PUNCT
cana-5234	90	1	figure	figure	NOUN
cana-5234	90	2	2	2	NUM
cana-5234	90	3	depicts	depict	VERB
cana-5234	90	4	a	a	DET
cana-5234	90	5	beginner	beginner	NOUN
cana-5234	90	6	's	's	PART
cana-5234	90	7	attempt	attempt	NOUN
cana-5234	90	8	at	at	ADP
cana-5234	90	9	multi	multi	ADJ
cana-5234	90	10	-	-	ADJ
cana-5234	90	11	scale	scale	ADJ
cana-5234	90	12	feature	feature	NOUN
cana-5234	90	13	exploration	exploration	NOUN
cana-5234	90	14	.	.	PUNCT
cana-5234	91	1	figure	figure	NOUN
cana-5234	91	2	2	2	NUM
cana-5234	91	3	.	.	PUNCT
cana-5234	92	1	multi	multi	ADJ
cana-5234	92	2	-	-	ADJ
cana-5234	92	3	scale	scale	ADJ
cana-5234	92	4	feature	feature	NOUN
cana-5234	92	5	extraction	extraction	NOUN
cana-5234	92	6	procedure	procedure	NOUN
cana-5234	92	7	represented	represent	VERB
cana-5234	92	8	using	use	VERB
cana-5234	92	9	various	various	ADJ
cana-5234	92	10	models	model	NOUN
cana-5234	92	11	.	.	PUNCT
cana-5234	93	1	image	image	NOUN
cana-5234	93	2	pixel	pixel	PROPN
cana-5234	93	3	local	local	ADJ
cana-5234	93	4	data	datum	NOUN
cana-5234	93	5	and	and	CCONJ
cana-5234	93	6	feature	feature	NOUN
cana-5234	93	7	map	map	NOUN
cana-5234	93	8	links	link	NOUN
cana-5234	93	9	were	be	AUX
cana-5234	93	10	the	the	DET
cana-5234	93	11	basis	basis	NOUN
cana-5234	93	12	of	of	ADP
cana-5234	93	13	lfe	lfe	PROPN
cana-5234	93	14	design	design	PROPN
cana-5234	93	15	.	.	PUNCT
cana-5234	94	1	it	it	PRON
cana-5234	94	2	measures	measure	VERB
cana-5234	94	3	the	the	DET
cana-5234	94	4	separation	separation	NOUN
cana-5234	94	5	between	between	ADP
cana-5234	94	6	the	the	DET
cana-5234	94	7	weighted	weight	VERB
cana-5234	94	8	map	map	NOUN
cana-5234	94	9	connection	connection	NOUN
cana-5234	94	10	and	and	CCONJ
cana-5234	94	11	all	all	DET
cana-5234	94	12	local	local	ADJ
cana-5234	94	13	pixel	pixel	NOUN
cana-5234	94	14	features	feature	NOUN
cana-5234	94	15	.	.	PUNCT
cana-5234	95	1	the	the	DET
cana-5234	95	2	output	output	NOUN
cana-5234	95	3	of	of	ADP
cana-5234	95	4	the	the	DET
cana-5234	95	5	current	current	ADJ
cana-5234	95	6	layer	layer	NOUN
cana-5234	95	7	of	of	ADP
cana-5234	95	8	the	the	DET
cana-5234	95	9	neural	neural	ADJ
cana-5234	95	10	network	network	NOUN
cana-5234	95	11	is	be	AUX
cana-5234	95	12	the	the	DET
cana-5234	95	13	input	input	NOUN
cana-5234	95	14	to	to	ADP
cana-5234	95	15	the	the	DET
cana-5234	95	16	resultant	resultant	NOUN
cana-5234	95	17	distance	distance	NOUN
cana-5234	95	18	.	.	PUNCT
cana-5234	96	1	rlfe	rlfe	PROPN
cana-5234	96	2	defines	define	VERB
cana-5234	96	3	the	the	DET
cana-5234	96	4	kernel	kernel	NOUN
cana-5234	96	5	-	-	PUNCT
cana-5234	96	6	associated	associate	VERB
cana-5234	96	7	function	function	NOUN
cana-5234	96	8	-	-	PUNCT
cana-5234	96	9	based	base	VERB
cana-5234	96	10	receptive	receptive	ADJ
cana-5234	96	11	big	big	ADJ
cana-5234	96	12	feature	feature	NOUN
cana-5234	96	13	structure	structure	NOUN
cana-5234	96	14	as	as	ADP
cana-5234	96	15	(	(	PUNCT
cana-5234	96	16	1	1	NUM
cana-5234	96	17	)	)	PUNCT
cana-5234	96	18	*	*	NOUN
cana-5234	96	19	(	(	PUNCT
cana-5234	96	20	1)mrf	1)mrf	NUM
cana-5234	96	21	i	i	PRON
cana-5234	96	22	i	i	PRON
cana-5234	96	23	d=	d=	VERB
cana-5234	97	1	+	+	CCONJ
cana-5234	98	1	−	−	NOUN
cana-5234	98	2	−	−	NOUN
cana-5234	98	3	amount	amount	NOUN
cana-5234	98	4	of	of	ADP
cana-5234	98	5	receptive	receptive	ADJ
cana-5234	98	6	features	feature	NOUN
cana-5234	98	7	in	in	ADP
cana-5234	98	8	terms	term	NOUN
cana-5234	98	9	of	of	ADP
cana-5234	98	10	associative	associative	ADJ
cana-5234	98	11	kernel	kernel	NOUN
cana-5234	98	12	sizes	size	NOUN
cana-5234	98	13	i	i	PRON
cana-5234	98	14	obtained	obtain	VERB
cana-5234	98	15	data	datum	NOUN
cana-5234	98	16	from	from	ADP
cana-5234	98	17	multiple	multiple	ADJ
cana-5234	98	18	layers	layer	NOUN
cana-5234	98	19	of	of	ADP
cana-5234	98	20	features	feature	NOUN
cana-5234	98	21	after	after	ADP
cana-5234	98	22	performing	perform	VERB
cana-5234	98	23	on	on	ADP
cana-5234	98	24	neural	neural	ADJ
cana-5234	98	25	convolution	convolution	NOUN
cana-5234	98	26	layers	layer	NOUN
cana-5234	98	27	.	.	PUNCT
cana-5234	99	1	exploring	explore	VERB
cana-5234	99	2	global	global	ADJ
cana-5234	99	3	data	datum	NOUN
cana-5234	99	4	from	from	ADP
cana-5234	99	5	several	several	ADJ
cana-5234	99	6	pixel	pixel	NOUN
cana-5234	99	7	positions	position	NOUN
cana-5234	99	8	in	in	ADP
cana-5234	99	9	an	an	DET
cana-5234	99	10	intense	intense	ADJ
cana-5234	99	11	gradient	gradient	NOUN
cana-5234	99	12	image	image	NOUN
cana-5234	99	13	is	be	AUX
cana-5234	99	14	described	describe	VERB
cana-5234	99	15	by	by	ADP
cana-5234	99	16	cfe	cfe	PROPN
cana-5234	99	17	.	.	PUNCT
cana-5234	100	1	2.1.2	2.1.2	NUM
cana-5234	100	2	.	.	X
cana-5234	100	3	contour	contour	NOUN
cana-5234	100	4	map	map	NOUN
cana-5234	100	5	optimization	optimization	NOUN
cana-5234	100	6	the	the	DET
cana-5234	100	7	topic	topic	NOUN
cana-5234	100	8	of	of	ADP
cana-5234	100	9	contour	contour	NOUN
cana-5234	100	10	identification	identification	NOUN
cana-5234	100	11	from	from	ADP
cana-5234	100	12	images	image	NOUN
cana-5234	100	13	using	use	VERB
cana-5234	100	14	localization	localization	NOUN
cana-5234	100	15	image	image	NOUN
cana-5234	100	16	components	component	NOUN
cana-5234	100	17	has	have	AUX
cana-5234	100	18	sparked	spark	VERB
cana-5234	100	19	discussions	discussion	NOUN
cana-5234	100	20	about	about	ADP
cana-5234	100	21	several	several	ADJ
cana-5234	100	22	existing	exist	VERB
cana-5234	100	23	methods	method	NOUN
cana-5234	100	24	.	.	PUNCT
cana-5234	101	1	we	we	PRON
cana-5234	101	2	address	address	VERB
cana-5234	101	3	here	here	ADV
cana-5234	101	4	the	the	DET
cana-5234	101	5	topic	topic	NOUN
cana-5234	101	6	of	of	ADP
cana-5234	101	7	medical	medical	ADJ
cana-5234	101	8	covid-19	covid-19	PROPN
cana-5234	101	9	optimized	optimize	VERB
cana-5234	101	10	contour	contour	NOUN
cana-5234	101	11	detection	detection	NOUN
cana-5234	101	12	using	use	VERB
cana-5234	101	13	multi	multi	ADJ
cana-5234	101	14	-	-	ADJ
cana-5234	101	15	scale	scale	ADJ
cana-5234	101	16	globalization	globalization	NOUN
cana-5234	101	17	in	in	ADP
cana-5234	101	18	conjunction	conjunction	NOUN
cana-5234	101	19	with	with	ADP
cana-5234	101	20	semantic	semantic	ADJ
cana-5234	101	21	picture	picture	NOUN
cana-5234	101	22	data	datum	NOUN
cana-5234	101	23	,	,	PUNCT
cana-5234	101	24	such	such	ADJ
cana-5234	101	25	as	as	ADP
cana-5234	101	26	texture	texture	ADJ
cana-5234	101	27	,	,	PUNCT
cana-5234	101	28	colour	colour	NOUN
cana-5234	101	29	,	,	PUNCT
cana-5234	101	30	form	form	NOUN
cana-5234	101	31	,	,	PUNCT
cana-5234	101	32	and	and	CCONJ
cana-5234	101	33	brightness	brightness	NOUN
cana-5234	101	34	.	.	PUNCT
cana-5234	102	1	cb	cb	PROPN
cana-5234	102	2	is	be	AUX
cana-5234	102	3	the	the	DET
cana-5234	102	4	sub	sub	NOUN
cana-5234	102	5	part	part	NOUN
cana-5234	102	6	of	of	ADP
cana-5234	102	7	image	image	NOUN
cana-5234	102	8	weight	weight	NOUN
cana-5234	102	9	with	with	ADP
cana-5234	102	10	gradient	gradient	NOUN
cana-5234	102	11	g(a	g(a	PROPN
cana-5234	102	12	,	,	PUNCT
cana-5234	102	13	b	b	NOUN
cana-5234	102	14	,	,	PUNCT
cana-5234	102	15	o	o	NOUN
cana-5234	102	16	)	)	PUNCT
cana-5234	102	17	from	from	ADP
cana-5234	102	18	extensive	extensive	ADJ
cana-5234	102	19	medical	medical	ADJ
cana-5234	102	20	covid	covid	PROPN
cana-5234	102	21	image	image	NOUN
cana-5234	102	22	.	.	PUNCT
cana-5234	103	1	communications	communication	NOUN
cana-5234	103	2	on	on	ADP
cana-5234	103	3	applied	apply	VERB
cana-5234	103	4	nonlinear	nonlinear	ADJ
cana-5234	103	5	analysis	analysis	NOUN
cana-5234	103	6	issn	issn	NOUN
cana-5234	103	7	:	:	PUNCT
cana-5234	103	8	1074	1074	NUM
cana-5234	103	9	-	-	PUNCT
cana-5234	103	10	133x	133x	NUM
cana-5234	103	11	vol	vol	VERB
cana-5234	103	12	32	32	NUM
cana-5234	103	13	no	no	NOUN
cana-5234	103	14	.	.	PUNCT
cana-5234	104	1	10s	10	NOUN
cana-5234	104	2	(	(	PUNCT
cana-5234	104	3	2025	2025	NUM
cana-5234	104	4	)	)	PUNCT
cana-5234	104	5	1311	1311	NUM
cana-5234	105	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-5234	105	2	assume	assume	VERB
cana-5234	105	3	i	i	PRON
cana-5234	105	4	is	be	AUX
cana-5234	105	5	the	the	DET
cana-5234	105	6	intense	intense	ADJ
cana-5234	105	7	medical	medical	ADJ
cana-5234	105	8	covid-19	covid-19	PROPN
cana-5234	105	9	image	image	NOUN
cana-5234	105	10	,	,	PUNCT
cana-5234	105	11	and	and	CCONJ
cana-5234	105	12	cb	cb	PROPN
cana-5234	105	13	is	be	AUX
cana-5234	105	14	the	the	DET
cana-5234	105	15	contour	contour	NOUN
cana-5234	105	16	block	block	NOUN
cana-5234	105	17	with	with	ADP
cana-5234	105	18	the	the	DET
cana-5234	105	19	gradient	gradient	ADJ
cana-5234	105	20	signal	signal	NOUN
cana-5234	105	21	(	(	PUNCT
cana-5234	105	22	,	,	PUNCT
cana-5234	105	23	,	,	PUNCT
cana-5234	105	24	)	)	PUNCT
cana-5234	105	25	g	g	NOUN
cana-5234	105	26	a	a	DET
cana-5234	105	27	b	b	X
cana-5234	105	28			X
cana-5234	105	29	(	(	PUNCT
cana-5234	105	30	)	)	PUNCT
cana-5234	105	31	(	(	PUNCT
cana-5234	105	32	)	)	PUNCT
cana-5234	105	33	2	2	NUM
cana-5234	105	34	2	2	NUM
cana-5234	105	35	(	(	PUNCT
cana-5234	105	36	)	)	PUNCT
cana-5234	105	37	(	(	PUNCT
cana-5234	105	38	)	)	PUNCT
cana-5234	105	39	1	1	NUM
cana-5234	105	40	(	(	PUNCT
cana-5234	105	41	,	,	PUNCT
cana-5234	105	42	)	)	PUNCT
cana-5234	105	43	2	2	NUM
cana-5234	105	44	(	(	PUNCT
cana-5234	105	45	)	)	PUNCT
cana-5234	105	46	(	(	PUNCT
cana-5234	105	47	)	)	PUNCT
cana-5234	106	1	k	k	PROPN
cana-5234	106	2	h	h	NOUN
cana-5234	107	1	k	k	PROPN
cana-5234	107	2	g	g	PROPN
cana-5234	108	1	k	k	PROPN
cana-5234	108	2	h	h	NOUN
cana-5234	109	1	g	g	PROPN
cana-5234	109	2	h	h	NOUN
cana-5234	110	1	k	k	PROPN
cana-5234	110	2	g	g	PROPN
cana-5234	110	3	k	k	PROPN
cana-5234	110	4			VERB
cana-5234	110	5	−	−	PROPN
cana-5234	111	1	=	=	SYM
cana-5234	111	2	−	−	PROPN
cana-5234	111	3			X
cana-5234	111	4	the	the	DET
cana-5234	111	5	intensive	intensive	ADJ
cana-5234	111	6	image	image	NOUN
cana-5234	111	7	with	with	ADP
cana-5234	111	8	locations	location	NOUN
cana-5234	111	9	a	a	DET
cana-5234	111	10	and	and	CCONJ
cana-5234	111	11	b	b	NOUN
cana-5234	111	12	needs	need	NOUN
cana-5234	111	13	to	to	PART
cana-5234	111	14	be	be	AUX
cana-5234	111	15	investigated	investigate	VERB
cana-5234	111	16	and	and	CCONJ
cana-5234	111	17	assessed	assess	VERB
cana-5234	111	18	using	use	VERB
cana-5234	111	19	two	two	NUM
cana-5234	111	20	subsample	subsample	ADJ
cana-5234	111	21	images	image	NOUN
cana-5234	111	22	,	,	PUNCT
cana-5234	111	23	such	such	ADJ
cana-5234	111	24	as	as	ADP
cana-5234	111	25	gradient	gradient	ADJ
cana-5234	111	26	mask	mask	NOUN
cana-5234	111	27	and	and	CCONJ
cana-5234	111	28	histogram	histogram	NOUN
cana-5234	111	29	images	image	NOUN
cana-5234	111	30	.	.	PUNCT
cana-5234	112	1	figure	figure	NOUN
cana-5234	112	2	displays	display	VERB
cana-5234	112	3	a	a	DET
cana-5234	112	4	sample	sample	NOUN
cana-5234	112	5	representation	representation	NOUN
cana-5234	112	6	of	of	ADP
cana-5234	112	7	contour	contour	NOUN
cana-5234	112	8	detection	detection	NOUN
cana-5234	112	9	figure	figure	NOUN
cana-5234	112	10	3	3	NUM
cana-5234	112	11	.	.	PUNCT
cana-5234	113	1	contour	contour	NOUN
cana-5234	113	2	representation	representation	NOUN
cana-5234	113	3	from	from	ADP
cana-5234	113	4	a	a	DET
cana-5234	113	5	sample	sample	NOUN
cana-5234	113	6	-	-	PUNCT
cana-5234	113	7	intensive	intensive	ADJ
cana-5234	113	8	image	image	NOUN
cana-5234	113	9	.	.	PUNCT
cana-5234	114	1	figure	figure	NOUN
cana-5234	114	2	3	3	NUM
cana-5234	114	3	illustrates	illustrate	VERB
cana-5234	114	4	a	a	DET
cana-5234	114	5	contour	contour	NOUN
cana-5234	114	6	map	map	NOUN
cana-5234	114	7	that	that	PRON
cana-5234	114	8	goes	go	VERB
cana-5234	114	9	along	along	ADP
cana-5234	114	10	with	with	ADP
cana-5234	114	11	an	an	DET
cana-5234	114	12	intense	intense	ADJ
cana-5234	114	13	image	image	NOUN
cana-5234	114	14	;	;	PUNCT
cana-5234	114	15	it	it	PRON
cana-5234	114	16	uses	use	VERB
cana-5234	114	17	deep	deep	ADJ
cana-5234	114	18	layer	layer	NOUN
cana-5234	114	19	functions	function	NOUN
cana-5234	114	20	to	to	PART
cana-5234	114	21	detect	detect	VERB
cana-5234	114	22	contours	contours	NOUN
cana-5234	114	23	based	base	VERB
cana-5234	114	24	on	on	ADP
cana-5234	114	25	the	the	DET
cana-5234	114	26	three	three	NUM
cana-5234	114	27	-	-	PUNCT
cana-5234	114	28	dimensional	dimensional	ADJ
cana-5234	114	29	localization	localization	NOUN
cana-5234	114	30	of	of	ADP
cana-5234	114	31	various	various	ADJ
cana-5234	114	32	components	component	NOUN
cana-5234	114	33	.	.	PUNCT
cana-5234	115	1	this	this	DET
cana-5234	115	2	method	method	NOUN
cana-5234	115	3	,	,	PUNCT
cana-5234	115	4	when	when	SCONJ
cana-5234	115	5	applied	apply	VERB
cana-5234	115	6	to	to	ADP
cana-5234	115	7	features	feature	NOUN
cana-5234	115	8	with	with	ADP
cana-5234	115	9	multiple	multiple	ADJ
cana-5234	115	10	labels	label	NOUN
cana-5234	115	11	and	and	CCONJ
cana-5234	115	12	built	build	VERB
cana-5234	115	13	on	on	ADP
cana-5234	115	14	multi	multi	ADJ
cana-5234	115	15	-	-	ADJ
cana-5234	115	16	scale	scale	ADJ
cana-5234	115	17	contour	contour	NOUN
cana-5234	115	18	detection	detection	NOUN
cana-5234	115	19	,	,	PUNCT
cana-5234	115	20	(	(	PUNCT
cana-5234	115	21	)	)	PUNCT
cana-5234	115	22	,	,	PUNCT
cana-5234	115	23	,	,	PUNCT
cana-5234	115	24	(	(	PUNCT
cana-5234	115	25	,	,	PUNCT
cana-5234	115	26	)	)	PUNCT
cana-5234	115	27	,	,	PUNCT
cana-5234	115	28	,	,	PUNCT
cana-5234	115	29	(	(	PUNCT
cana-5234	115	30	,	,	PUNCT
cana-5234	115	31	,	,	PUNCT
cana-5234	115	32	)	)	PUNCT
cana-5234	115	33	b	b	X
cana-5234	116	1	k	k	PROPN
cana-5234	116	2	s	s	X
cana-5234	116	3	k	k	PROPN
cana-5234	117	1	k	k	PROPN
cana-5234	117	2	s	s	X
cana-5234	117	3	s	s	X
cana-5234	117	4	k	k	PROPN
cana-5234	117	5	mc	mc	PROPN
cana-5234	117	6	a	a	DET
cana-5234	117	7	b	b	PROPN
cana-5234	117	8	g	g	PROPN
cana-5234	117	9	a	a	DET
cana-5234	117	10	b	b	PROPN
cana-5234	117	11			X
cana-5234	117	12	=	=	NOUN
cana-5234	117	13	the	the	DET
cana-5234	117	14	computational	computational	ADJ
cana-5234	117	15	process	process	NOUN
cana-5234	117	16	of	of	ADP
cana-5234	117	17	the	the	DET
cana-5234	117	18	selected	select	VERB
cana-5234	117	19	intensive	intensive	ADJ
cana-5234	117	20	image	image	NOUN
cana-5234	117	21	with	with	ADP
cana-5234	117	22	locations	location	NOUN
cana-5234	117	23	a	a	PRON
cana-5234	117	24	and	and	CCONJ
cana-5234	117	25	b	b	NOUN
cana-5234	117	26	must	must	AUX
cana-5234	117	27	be	be	AUX
cana-5234	117	28	examined	examine	VERB
cana-5234	117	29	and	and	CCONJ
cana-5234	117	30	evaluated	evaluate	VERB
cana-5234	117	31	with	with	ADP
cana-5234	117	32	the	the	DET
cana-5234	117	33	use	use	NOUN
cana-5234	117	34	of	of	ADP
cana-5234	117	35	two	two	NUM
cana-5234	117	36	subsample	subsample	ADJ
cana-5234	117	37	photos	photo	NOUN
cana-5234	117	38	,	,	PUNCT
cana-5234	117	39	such	such	ADJ
cana-5234	117	40	as	as	ADP
cana-5234	117	41	gradient	gradient	ADJ
cana-5234	117	42	mask	mask	NOUN
cana-5234	117	43	images	image	NOUN
cana-5234	117	44	and	and	CCONJ
cana-5234	117	45	histograms	histogram	NOUN
cana-5234	117	46	.	.	PUNCT
cana-5234	118	1	an	an	DET
cana-5234	118	2	illustration	illustration	NOUN
cana-5234	118	3	of	of	ADP
cana-5234	118	4	contour	contour	NOUN
cana-5234	118	5	detection	detection	NOUN
cana-5234	118	6	is	be	AUX
cana-5234	118	7	shown	show	VERB
cana-5234	118	8	in	in	ADP
cana-5234	118	9	the	the	DET
cana-5234	118	10	image	image	NOUN
cana-5234	118	11	.	.	PUNCT
cana-5234	119	1	let	let	VERB
cana-5234	119	2	s	s	PRON
cana-5234	119	3	represent	represent	VERB
cana-5234	119	4	the	the	DET
cana-5234	119	5	pixel	pixel	PROPN
cana-5234	119	6	's	's	PART
cana-5234	119	7	feature	feature	NOUN
cana-5234	119	8	index	index	NOUN
cana-5234	119	9	and	and	CCONJ
cana-5234	119	10	k	k	PROPN
cana-5234	119	11	stand	stand	VERB
cana-5234	119	12	for	for	ADP
cana-5234	119	13	the	the	DET
cana-5234	119	14	feature	feature	NOUN
cana-5234	119	15	's	's	PART
cana-5234	119	16	color	color	NOUN
cana-5234	119	17	,	,	PUNCT
cana-5234	119	18	texture	texture	NOUN
cana-5234	119	19	,	,	PUNCT
cana-5234	119	20	and	and	CCONJ
cana-5234	119	21	form	form	NOUN
cana-5234	119	22	representation	representation	NOUN
cana-5234	119	23	i.e.	i.e.	X
cana-5234	119	24	,	,	PUNCT
cana-5234	119	25	(	(	PUNCT
cana-5234	119	26	,	,	PUNCT
cana-5234	119	27	)	)	PUNCT
cana-5234	119	28	k	k	PROPN
cana-5234	120	1	k	k	PROPN
cana-5234	120	2	sg	sg	PROPN
cana-5234	120	3			PROPN
cana-5234	120	4	&	&	CCONJ
cana-5234	120	5	(	(	PUNCT
cana-5234	120	6	,	,	PUNCT
cana-5234	120	7	,	,	PUNCT
cana-5234	120	8	)	)	PUNCT
cana-5234	120	9	a	a	DET
cana-5234	120	10	b	b	NOUN
cana-5234	120	11			X
cana-5234	120	12	.	.	PUNCT
cana-5234	121	1	between	between	ADP
cana-5234	121	2	related	related	ADJ
cana-5234	121	3	pixel	pixel	NOUN
cana-5234	121	4	notations	notation	NOUN
cana-5234	121	5	in	in	ADP
cana-5234	121	6	images	image	NOUN
cana-5234	121	7	,	,	PUNCT
cana-5234	121	8	there	there	PRON
cana-5234	121	9	is	be	VERB
cana-5234	121	10	a	a	DET
cana-5234	121	11	histogram	histogram	NOUN
cana-5234	121	12	and	and	CCONJ
cana-5234	121	13	a	a	DET
cana-5234	121	14	binary	binary	ADJ
cana-5234	121	15	map	map	NOUN
cana-5234	121	16	mask	mask	NOUN
cana-5234	121	17	image	image	NOUN
cana-5234	121	18	.	.	PUNCT
cana-5234	122	1	the	the	DET
cana-5234	122	2	definition	definition	NOUN
cana-5234	122	3	of	of	ADP
cana-5234	122	4	ideal	ideal	ADJ
cana-5234	122	5	contour	contour	NOUN
cana-5234	122	6	selection	selection	NOUN
cana-5234	122	7	for	for	ADP
cana-5234	122	8	a	a	DET
cana-5234	122	9	pixel	pixel	NOUN
cana-5234	122	10	in	in	ADP
cana-5234	122	11	a	a	DET
cana-5234	122	12	picture	picture	NOUN
cana-5234	122	13	is	be	AUX
cana-5234	122	14	(	(	PUNCT
cana-5234	122	15	)	)	PUNCT
cana-5234	122	16	,	,	PUNCT
cana-5234	122	17	,	,	PUNCT
cana-5234	122	18	exp	exp	NOUN
cana-5234	122	19	max	max	PROPN
cana-5234	122	20	(	(	PUNCT
cana-5234	122	21	(	(	PUNCT
cana-5234	122	22	)	)	PUNCT
cana-5234	122	23	)	)	PUNCT
cana-5234	122	24	/k	/k	PUNCT
cana-5234	123	1	l	l	NOUN
cana-5234	123	2	b	b	X
cana-5234	123	3	p	p	X
cana-5234	123	4	k	k	PROPN
cana-5234	123	5	l	l	PROPN
cana-5234	123	6	ocm	ocm	VERB
cana-5234	123	7	mc	mc	PROPN
cana-5234	123	8	a	a	DET
cana-5234	123	9	p	p	PROPN
cana-5234	123	10			NOUN
cana-5234	123	11	=	=	PUNCT
cana-5234	123	12	in	in	ADP
cana-5234	123	13	this	this	DET
cana-5234	123	14	case	case	NOUN
cana-5234	123	15	,	,	PUNCT
cana-5234	123	16	k	k	PROPN
cana-5234	123	17	and	and	CCONJ
cana-5234	123	18	l	l	PROPN
cana-5234	123	19	are	be	AUX
cana-5234	123	20	pixel	pixel	PROPN
cana-5234	123	21	functions	function	NOUN
cana-5234	123	22	that	that	PRON
cana-5234	123	23	are	be	AUX
cana-5234	123	24	related	relate	VERB
cana-5234	123	25	with	with	ADP
cana-5234	123	26	each	each	DET
cana-5234	123	27	other	other	ADJ
cana-5234	123	28	via	via	ADP
cana-5234	123	29	associative	associative	ADJ
cana-5234	123	30	distance	distance	NOUN
cana-5234	123	31	;	;	PUNCT
cana-5234	123	32	msfe	msfe	PROPN
cana-5234	123	33	describes	describe	VERB
cana-5234	123	34	the	the	DET
cana-5234	123	35	optimal	optimal	ADJ
cana-5234	123	36	functionality	functionality	NOUN
cana-5234	123	37	of	of	ADP
cana-5234	123	38	contour	contour	NOUN
cana-5234	123	39	map	map	NOUN
cana-5234	123	40	detection	detection	NOUN
cana-5234	123	41	.	.	PUNCT
cana-5234	124	1	apply	apply	VERB
cana-5234	124	2	this	this	DET
cana-5234	124	3	method	method	NOUN
cana-5234	124	4	to	to	ADP
cana-5234	124	5	the	the	DET
cana-5234	124	6	suggested	suggest	VERB
cana-5234	124	7	strategy	strategy	NOUN
cana-5234	124	8	.	.	PUNCT
cana-5234	125	1	2.2	2.2	NUM
cana-5234	125	2	.	.	PUNCT
cana-5234	126	1	a	a	DET
cana-5234	126	2	novel	novel	ADJ
cana-5234	126	3	hierarchical	hierarchical	ADJ
cana-5234	126	4	optimized	optimize	VERB
cana-5234	126	5	multi	multi	ADJ
cana-5234	126	6	-	-	ADJ
cana-5234	126	7	feature	feature	ADJ
cana-5234	126	8	contour	contour	NOUN
cana-5234	126	9	neural	neural	ADJ
cana-5234	126	10	network	network	NOUN
cana-5234	126	11	in	in	ADP
cana-5234	126	12	this	this	DET
cana-5234	126	13	part	part	NOUN
cana-5234	126	14	,	,	PUNCT
cana-5234	126	15	we	we	PRON
cana-5234	126	16	present	present	VERB
cana-5234	126	17	a	a	DET
cana-5234	126	18	novel	novel	ADJ
cana-5234	126	19	approach	approach	NOUN
cana-5234	126	20	to	to	ADP
cana-5234	126	21	deep	deep	ADJ
cana-5234	126	22	segmentation	segmentation	NOUN
cana-5234	126	23	that	that	PRON
cana-5234	126	24	is	be	AUX
cana-5234	126	25	both	both	CCONJ
cana-5234	126	26	interactive	interactive	ADJ
cana-5234	126	27	and	and	CCONJ
cana-5234	126	28	made	make	VERB
cana-5234	126	29	possible	possible	ADJ
cana-5234	126	30	by	by	ADP
cana-5234	126	31	an	an	DET
cana-5234	126	32	optimized	optimize	VERB
cana-5234	126	33	multi	multi	ADJ
cana-5234	126	34	-	-	ADJ
cana-5234	126	35	feature	feature	ADJ
cana-5234	126	36	contour	contour	NOUN
cana-5234	126	37	-	-	PUNCT
cana-5234	126	38	based	base	VERB
cana-5234	126	39	hierarchical	hierarchical	ADJ
cana-5234	126	40	neural	neural	ADJ
cana-5234	126	41	network	network	NOUN
cana-5234	126	42	(	(	PUNCT
cana-5234	126	43	nomfchnn	nomfchnn	PROPN
cana-5234	126	44	)	)	PUNCT
cana-5234	126	45	and	and	CCONJ
cana-5234	126	46	applied	apply	VERB
cana-5234	126	47	to	to	ADP
cana-5234	126	48	high	high	ADJ
cana-5234	126	49	-	-	PUNCT
cana-5234	126	50	resolution	resolution	NOUN
cana-5234	126	51	medical	medical	ADJ
cana-5234	126	52	covid	covid	PROPN
cana-5234	126	53	images	image	NOUN
cana-5234	126	54	.	.	PUNCT
cana-5234	127	1	communications	communication	NOUN
cana-5234	127	2	on	on	ADP
cana-5234	127	3	applied	apply	VERB
cana-5234	127	4	nonlinear	nonlinear	ADJ
cana-5234	127	5	analysis	analysis	NOUN
cana-5234	127	6	issn	issn	NOUN
cana-5234	127	7	:	:	PUNCT
cana-5234	127	8	1074	1074	NUM
cana-5234	127	9	-	-	PUNCT
cana-5234	127	10	133x	133x	NUM
cana-5234	127	11	vol	vol	VERB
cana-5234	127	12	32	32	NUM
cana-5234	127	13	no	no	NOUN
cana-5234	127	14	.	.	PUNCT
cana-5234	128	1	10s	10	NOUN
cana-5234	128	2	(	(	PUNCT
cana-5234	128	3	2025	2025	NUM
cana-5234	128	4	)	)	PUNCT
cana-5234	128	5	1312	1312	NUM
cana-5234	128	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5234	128	7	figure	figure	NOUN
cana-5234	128	8	4	4	NUM
cana-5234	128	9	.	.	PUNCT
cana-5234	128	10	process	process	NOUN
cana-5234	128	11	of	of	ADP
cana-5234	128	12	the	the	DET
cana-5234	128	13	proposed	propose	VERB
cana-5234	128	14	technique	technique	NOUN
cana-5234	128	15	.	.	PUNCT
cana-5234	129	1	the	the	DET
cana-5234	129	2	three	three	NUM
cana-5234	129	3	main	main	ADJ
cana-5234	129	4	components	component	NOUN
cana-5234	129	5	of	of	ADP
cana-5234	129	6	the	the	DET
cana-5234	129	7	suggested	suggest	VERB
cana-5234	129	8	strategy	strategy	NOUN
cana-5234	129	9	are	be	AUX
cana-5234	129	10	illustrated	illustrate	VERB
cana-5234	129	11	in	in	ADP
cana-5234	129	12	figure	figure	NOUN
cana-5234	129	13	4	4	NUM
cana-5234	129	14	,	,	PUNCT
cana-5234	129	15	which	which	PRON
cana-5234	129	16	details	detail	VERB
cana-5234	129	17	its	its	PRON
cana-5234	129	18	basic	basic	ADJ
cana-5234	129	19	procedure	procedure	NOUN
cana-5234	129	20	:	:	PUNCT
cana-5234	129	21	enhancing	enhance	VERB
cana-5234	129	22	the	the	DET
cana-5234	129	23	extraction	extraction	NOUN
cana-5234	129	24	of	of	ADP
cana-5234	129	25	covid	covid	PROPN
cana-5234	129	26	body	body	NOUN
cana-5234	129	27	segmentation	segmentation	NOUN
cana-5234	129	28	,	,	PUNCT
cana-5234	129	29	generalizing	generalize	VERB
cana-5234	129	30	mapped	map	VERB
cana-5234	129	31	picture	picture	NOUN
cana-5234	129	32	collection	collection	NOUN
cana-5234	129	33	based	base	VERB
cana-5234	129	34	on	on	ADP
cana-5234	129	35	guidance	guidance	NOUN
cana-5234	129	36	,	,	PUNCT
cana-5234	129	37	and	and	CCONJ
cana-5234	129	38	contour	contour	NOUN
cana-5234	129	39	-	-	PUNCT
cana-5234	129	40	based	base	VERB
cana-5234	129	41	multi	multi	ADJ
cana-5234	129	42	-	-	ADJ
cana-5234	129	43	scale	scale	ADJ
cana-5234	129	44	feature	feature	NOUN
cana-5234	129	45	extraction	extraction	NOUN
cana-5234	129	46	.	.	PUNCT
cana-5234	130	1	2.2.1	2.2.1	NUM
cana-5234	130	2	.	.	PUNCT
cana-5234	131	1	a	a	DET
cana-5234	131	2	collection	collection	NOUN
cana-5234	131	3	of	of	ADP
cana-5234	131	4	generalizable	generalizable	ADJ
cana-5234	131	5	images	image	NOUN
cana-5234	131	6	based	base	VERB
cana-5234	131	7	on	on	ADP
cana-5234	131	8	guidelines	guideline	NOUN
cana-5234	131	9	using	use	VERB
cana-5234	131	10	convolutional	convolutional	ADJ
cana-5234	131	11	neural	neural	ADJ
cana-5234	131	12	network	network	NOUN
cana-5234	131	13	(	(	PUNCT
cana-5234	131	14	cnn	cnn	PROPN
cana-5234	131	15	)	)	PUNCT
cana-5234	131	16	interactions	interaction	NOUN
cana-5234	131	17	,	,	PUNCT
cana-5234	131	18	we	we	PRON
cana-5234	131	19	transmit	transmit	VERB
cana-5234	131	20	picture	picture	NOUN
cana-5234	131	21	data	datum	NOUN
cana-5234	131	22	into	into	ADP
cana-5234	131	23	various	various	ADJ
cana-5234	131	24	binary	binary	ADJ
cana-5234	131	25	sample	sample	NOUN
cana-5234	131	26	images	image	NOUN
cana-5234	131	27	to	to	PART
cana-5234	131	28	generate	generate	VERB
cana-5234	131	29	pixel	pixel	NOUN
cana-5234	131	30	mapped	map	VERB
cana-5234	131	31	image	image	NOUN
cana-5234	131	32	collections	collection	NOUN
cana-5234	131	33	.	.	PUNCT
cana-5234	132	1	a	a	DET
cana-5234	132	2	big	big	ADJ
cana-5234	132	3	number	number	NOUN
cana-5234	132	4	of	of	ADP
cana-5234	132	5	training	training	NOUN
cana-5234	132	6	sample	sample	NOUN
cana-5234	132	7	photos	photo	NOUN
cana-5234	132	8	and	and	CCONJ
cana-5234	132	9	map	map	VERB
cana-5234	132	10	connections	connection	NOUN
cana-5234	132	11	between	between	ADP
cana-5234	132	12	sampling	sample	VERB
cana-5234	132	13	images	image	NOUN
cana-5234	132	14	are	be	AUX
cana-5234	132	15	necessary	necessary	ADJ
cana-5234	132	16	for	for	ADP
cana-5234	132	17	the	the	DET
cana-5234	132	18	data	data	NOUN
cana-5234	132	19	technique	technique	NOUN
cana-5234	132	20	utilized	utilize	VERB
cana-5234	132	21	in	in	ADP
cana-5234	132	22	this	this	DET
cana-5234	132	23	paper	paper	NOUN
cana-5234	132	24	,	,	PUNCT
cana-5234	132	25	which	which	PRON
cana-5234	132	26	is	be	AUX
cana-5234	132	27	connected	connect	VERB
cana-5234	132	28	to	to	ADP
cana-5234	132	29	deep	deep	ADJ
cana-5234	132	30	learning	learning	NOUN
cana-5234	132	31	images	image	NOUN
cana-5234	132	32	.	.	PUNCT
cana-5234	133	1	all	all	DET
cana-5234	133	2	the	the	DET
cana-5234	133	3	many	many	ADJ
cana-5234	133	4	kinds	kind	NOUN
cana-5234	133	5	of	of	ADP
cana-5234	133	6	covid	covid	PROPN
cana-5234	133	7	are	be	AUX
cana-5234	133	8	represented	represent	VERB
cana-5234	133	9	in	in	ADP
cana-5234	133	10	the	the	DET
cana-5234	133	11	image	image	NOUN
cana-5234	133	12	,	,	PUNCT
cana-5234	133	13	which	which	PRON
cana-5234	133	14	is	be	AUX
cana-5234	133	15	a	a	DET
cana-5234	133	16	set	set	NOUN
cana-5234	133	17	of	of	ADP
cana-5234	133	18	pixel	pixel	ADJ
cana-5234	133	19	labels	label	NOUN
cana-5234	133	20	.	.	PUNCT
cana-5234	134	1	there	there	PRON
cana-5234	134	2	is	be	VERB
cana-5234	134	3	a	a	DET
cana-5234	134	4	visual	visual	ADJ
cana-5234	134	5	interpretation	interpretation	NOUN
cana-5234	134	6	that	that	PRON
cana-5234	134	7	may	may	AUX
cana-5234	134	8	be	be	AUX
cana-5234	134	9	used	use	VERB
cana-5234	134	10	to	to	PART
cana-5234	134	11	depict	depict	VERB
cana-5234	134	12	all	all	DET
cana-5234	134	13	the	the	DET
cana-5234	134	14	labels	label	NOUN
cana-5234	134	15	in	in	ADP
cana-5234	134	16	medical	medical	ADJ
cana-5234	134	17	covid	covid	PROPN
cana-5234	134	18	images	image	NOUN
cana-5234	134	19	,	,	PUNCT
cana-5234	134	20	which	which	PRON
cana-5234	134	21	consist	consist	VERB
cana-5234	134	22	of	of	ADP
cana-5234	134	23	bodies	body	NOUN
cana-5234	134	24	of	of	ADP
cana-5234	134	25	covid	covid	NOUN
cana-5234	134	26	and	and	CCONJ
cana-5234	134	27	backgrounds	background	NOUN
cana-5234	134	28	.	.	PUNCT
cana-5234	135	1	included	include	VERB
cana-5234	135	2	in	in	ADP
cana-5234	135	3	these	these	DET
cana-5234	135	4	photographs	photograph	NOUN
cana-5234	135	5	are	be	AUX
cana-5234	135	6	both	both	PRON
cana-5234	135	7	training	training	NOUN
cana-5234	135	8	and	and	CCONJ
cana-5234	135	9	testing	testing	NOUN
cana-5234	135	10	sets	set	NOUN
cana-5234	135	11	and	and	CCONJ
cana-5234	135	12	they	they	PRON
cana-5234	135	13	including	include	VERB
cana-5234	135	14	every	every	DET
cana-5234	135	15	possible	possible	ADJ
cana-5234	135	16	kind	kind	NOUN
cana-5234	135	17	of	of	ADP
cana-5234	135	18	covid	covid	NOUN
cana-5234	135	19	.	.	PUNCT
cana-5234	136	1	these	these	DET
cana-5234	136	2	samples	sample	NOUN
cana-5234	136	3	include	include	VERB
cana-5234	136	4	all	all	DET
cana-5234	136	5	pixels	pixel	NOUN
cana-5234	136	6	with	with	ADP
cana-5234	136	7	a	a	DET
cana-5234	136	8	covid	covid	PROPN
cana-5234	136	9	surface	surface	NOUN
cana-5234	136	10	and	and	CCONJ
cana-5234	136	11	some	some	PRON
cana-5234	136	12	without	without	ADP
cana-5234	136	13	.	.	PUNCT
cana-5234	137	1	almost	almost	ADV
cana-5234	137	2	every	every	PRON
cana-5234	137	3	sampled	sample	VERB
cana-5234	137	4	library	library	NOUN
cana-5234	137	5	storage	storage	NOUN
cana-5234	137	6	contains	contain	VERB
cana-5234	137	7	14,000	14,000	NUM
cana-5234	137	8	to	to	PART
cana-5234	137	9	15,000	15,000	NUM
cana-5234	137	10	samples	sample	NOUN
cana-5234	137	11	from	from	ADP
cana-5234	137	12	input	input	NOUN
cana-5234	137	13	trained	train	VERB
cana-5234	137	14	images	image	NOUN
cana-5234	137	15	.	.	PUNCT
cana-5234	138	1	figure	figure	NOUN
cana-5234	138	2	5	5	NUM
cana-5234	138	3	medical	medical	ADJ
cana-5234	138	4	covid	covid	NOUN
cana-5234	138	5	images	image	NOUN
cana-5234	138	6	with	with	ADP
cana-5234	138	7	passive	passive	ADJ
cana-5234	138	8	and	and	CCONJ
cana-5234	138	9	negative	negative	ADJ
cana-5234	138	10	labeled	label	VERB
cana-5234	138	11	samples	sample	NOUN
cana-5234	138	12	.	.	PUNCT
cana-5234	139	1	euclidean	euclidean	ADJ
cana-5234	139	2	distance	distance	NOUN
cana-5234	139	3	(	(	PUNCT
cana-5234	139	4	da	da	NOUN
cana-5234	139	5	)	)	PUNCT
cana-5234	139	6	is	be	AUX
cana-5234	139	7	a	a	DET
cana-5234	139	8	technique	technique	NOUN
cana-5234	139	9	that	that	PRON
cana-5234	139	10	we	we	PRON
cana-5234	139	11	employ	employ	VERB
cana-5234	139	12	to	to	PART
cana-5234	139	13	move	move	VERB
cana-5234	139	14	all	all	DET
cana-5234	139	15	the	the	DET
cana-5234	139	16	labeled	label	VERB
cana-5234	139	17	samples	sample	NOUN
cana-5234	139	18	to	to	ADP
cana-5234	139	19	the	the	DET
cana-5234	139	20	set	set	NOUN
cana-5234	139	21	of	of	ADP
cana-5234	139	22	guiding	guide	VERB
cana-5234	139	23	image	image	NOUN
cana-5234	139	24	maps	map	NOUN
cana-5234	139	25	.	.	PUNCT
cana-5234	140	1	every	every	DET
cana-5234	140	2	pixel	pixel	NOUN
cana-5234	140	3	in	in	ADP
cana-5234	140	4	the	the	DET
cana-5234	140	5	trained	train	VERB
cana-5234	140	6	sample	sample	NOUN
cana-5234	140	7	picture	picture	NOUN
cana-5234	140	8	is	be	AUX
cana-5234	140	9	evaluated	evaluate	VERB
cana-5234	140	10	for	for	ADP
cana-5234	140	11	da	da	PROPN
cana-5234	140	12	at	at	ADP
cana-5234	140	13	coordinates	coordinate	NOUN
cana-5234	140	14	(	(	PUNCT
cana-5234	140	15	k	k	X
cana-5234	140	16	,	,	PUNCT
cana-5234	140	17	l	l	NOUN
cana-5234	140	18	)	)	PUNCT
cana-5234	140	19	.	.	PUNCT
cana-5234	141	1	the	the	DET
cana-5234	141	2	image	image	NOUN
cana-5234	141	3	's	's	PART
cana-5234	141	4	relevance	relevance	NOUN
cana-5234	141	5	map	map	NOUN
cana-5234	141	6	(	(	PUNCT
cana-5234	141	7	uk	uk	PROPN
cana-5234	141	8	,	,	PUNCT
cana-5234	141	9	l	l	NOUN
cana-5234	141	10	)	)	PUNCT
cana-5234	141	11	,	,	PUNCT
cana-5234	141	12	which	which	PRON
cana-5234	141	13	is	be	AUX
cana-5234	141	14	between	between	ADP
cana-5234	141	15	[	[	X
cana-5234	141	16	1,0	1,0	NUM
cana-5234	141	17	]	]	PUNCT
cana-5234	141	18	after	after	ADP
cana-5234	141	19	that	that	PRON
cana-5234	141	20	,	,	PUNCT
cana-5234	141	21	is	be	AUX
cana-5234	141	22	normalised	normalise	VERB
cana-5234	141	23	.	.	PUNCT
cana-5234	142	1	our	our	PRON
cana-5234	142	2	last	last	ADJ
cana-5234	142	3	section	section	NOUN
cana-5234	142	4	explains	explain	VERB
cana-5234	142	5	the	the	DET
cana-5234	142	6	relevance	relevance	NOUN
cana-5234	142	7	map	map	NOUN
cana-5234	142	8	for	for	ADP
cana-5234	142	9	guidance	guidance	NOUN
cana-5234	142	10	as	as	SCONJ
cana-5234	142	11	communications	communication	NOUN
cana-5234	142	12	on	on	ADP
cana-5234	142	13	applied	apply	VERB
cana-5234	142	14	nonlinear	nonlinear	ADJ
cana-5234	142	15	analysis	analysis	NOUN
cana-5234	142	16	issn	issn	NOUN
cana-5234	142	17	:	:	PUNCT
cana-5234	142	18	1074	1074	NUM
cana-5234	142	19	-	-	PUNCT
cana-5234	142	20	133x	133x	NUM
cana-5234	142	21	vol	vol	VERB
cana-5234	142	22	32	32	NUM
cana-5234	142	23	no	no	NOUN
cana-5234	142	24	.	.	PUNCT
cana-5234	143	1	10s	10	NOUN
cana-5234	143	2	(	(	PUNCT
cana-5234	143	3	2025	2025	NUM
cana-5234	143	4	)	)	PUNCT
cana-5234	143	5	1313	1313	NUM
cana-5234	143	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5234	143	7	(	(	PUNCT
cana-5234	143	8	)	)	PUNCT
cana-5234	143	9	1	1	NUM
cana-5234	143	10	,	,	PUNCT
cana-5234	143	11	,	,	PUNCT
cana-5234	143	12	,	,	PUNCT
cana-5234	143	13	2	2	NUM
cana-5234	143	14	(	(	PUNCT
cana-5234	143	15	)	)	PUNCT
cana-5234	143	16	1	1	NUM
cana-5234	143	17	(	(	PUNCT
cana-5234	143	18	)	)	PUNCT
cana-5234	143	19	(	(	PUNCT
cana-5234	143	20	)	)	PUNCT
cana-5234	143	21	k	k	X
cana-5234	144	1	l	l	PUNCT
cana-5234	144	2	p	p	X
cana-5234	144	3	k	k	PROPN
cana-5234	144	4	l	l	PROPN
cana-5234	144	5	n	n	CCONJ
cana-5234	144	6	k	k	X
cana-5234	144	7	le	le	X
cana-5234	144	8	u	u	PROPN
cana-5234	144	9	da	da	PROPN
cana-5234	144	10	u	u	X
cana-5234	144	11	da	da	PROPN
cana-5234	144	12	u=	u=	ADV
cana-5234	144	13	−	−	PROPN
cana-5234	145	1	+	+	CCONJ
cana-5234	145	2	,	,	PUNCT
cana-5234	145	3	2	2	NUM
cana-5234	145	4	2	2	NUM
cana-5234	145	5	,	,	PUNCT
cana-5234	145	6	(	(	PUNCT
cana-5234	145	7	)	)	PUNCT
cana-5234	145	8	min	min	NOUN
cana-5234	145	9	(	(	PUNCT
cana-5234	145	10	)	)	PUNCT
cana-5234	145	11	(	(	PUNCT
cana-5234	145	12	)	)	PUNCT
cana-5234	146	1	n	n	PRON
cana-5234	146	2	m	m	VERB
cana-5234	146	3	p	p	NOUN
cana-5234	146	4	p	p	X
cana-5234	146	5	k	k	PROPN
cana-5234	146	6	l	l	PUNCT
cana-5234	146	7	u	u	NOUN
cana-5234	146	8	s	s	PROPN
cana-5234	146	9	da	da	NOUN
cana-5234	146	10	u	u	NOUN
cana-5234	146	11	k	k	PROPN
cana-5234	146	12	n	n	PROPN
cana-5234	146	13	l	l	NOUN
cana-5234	146	14	m	m	VERB
cana-5234	146	15			VERB
cana-5234	146	16			NOUN
cana-5234	146	17	=	=	PUNCT
cana-5234	146	18	−	−	PROPN
cana-5234	147	1	+	+	CCONJ
cana-5234	147	2	−	−	PROPN
cana-5234	147	3	,	,	PUNCT
cana-5234	147	4	2	2	NUM
cana-5234	147	5	2	2	NUM
cana-5234	147	6	,	,	PUNCT
cana-5234	147	7	(	(	PUNCT
cana-5234	147	8	)	)	PUNCT
cana-5234	147	9	min	min	NOUN
cana-5234	147	10	(	(	PUNCT
cana-5234	147	11	)	)	PUNCT
cana-5234	147	12	(	(	PUNCT
cana-5234	147	13	)	)	PUNCT
cana-5234	147	14	n	n	CCONJ
cana-5234	147	15	m	m	VERB
cana-5234	147	16	n	n	VERB
cana-5234	147	17	n	n	ADV
cana-5234	147	18	k	k	NOUN
cana-5234	147	19	l	l	PUNCT
cana-5234	147	20	u	u	NOUN
cana-5234	147	21	s	s	PROPN
cana-5234	147	22	da	da	NOUN
cana-5234	147	23	u	u	NOUN
cana-5234	147	24	k	k	PROPN
cana-5234	147	25	n	n	PROPN
cana-5234	147	26	l	l	NOUN
cana-5234	147	27	m	m	VERB
cana-5234	147	28			VERB
cana-5234	147	29			NOUN
cana-5234	147	30	=	=	PUNCT
cana-5234	147	31	−	−	PROPN
cana-5234	148	1	+	+	CCONJ
cana-5234	148	2	−	−	PROPN
cana-5234	148	3	pda	pda	NOUN
cana-5234	148	4	be	be	AUX
cana-5234	148	5	the	the	DET
cana-5234	148	6	location	location	NOUN
cana-5234	148	7	of	of	ADP
cana-5234	148	8	passive	passive	ADJ
cana-5234	148	9	pixel	pixel	NOUN
cana-5234	148	10	,	,	PUNCT
cana-5234	148	11	nda	nda	PROPN
cana-5234	148	12	be	be	VERB
cana-5234	148	13	the	the	DET
cana-5234	148	14	location	location	NOUN
cana-5234	148	15	of	of	ADP
cana-5234	148	16	negative	negative	ADJ
cana-5234	148	17	pixel	pixel	NOUN
cana-5234	148	18	and	and	CCONJ
cana-5234	148	19	,	,	PUNCT
cana-5234	148	20	k	k	PROPN
cana-5234	148	21	lu	lu	PROPN
cana-5234	148	22	stand	stand	VERB
cana-5234	148	23	for	for	ADP
cana-5234	148	24	the	the	DET
cana-5234	148	25	values	value	NOUN
cana-5234	148	26	of	of	ADP
cana-5234	148	27	the	the	DET
cana-5234	148	28	pixels	pixel	NOUN
cana-5234	148	29	in	in	ADP
cana-5234	148	30	the	the	DET
cana-5234	148	31	active	active	ADJ
cana-5234	148	32	and	and	CCONJ
cana-5234	148	33	negative	negative	ADJ
cana-5234	148	34	pixels	pixel	NOUN
cana-5234	148	35	areas	area	NOUN
cana-5234	148	36	,	,	PUNCT
cana-5234	148	37	s	s	X
cana-5234	148	38	represents	represent	VERB
cana-5234	148	39	the	the	DET
cana-5234	148	40	collection	collection	NOUN
cana-5234	148	41	of	of	ADP
cana-5234	148	42	pixels	pixel	NOUN
cana-5234	148	43	under	under	ADP
cana-5234	148	44	consideration	consideration	NOUN
cana-5234	148	45	,	,	PUNCT
cana-5234	148	46	and	and	CCONJ
cana-5234	148	47	m	m	PROPN
cana-5234	148	48	and	and	CCONJ
cana-5234	148	49	n	n	ADV
cana-5234	148	50	stand	stand	VERB
cana-5234	148	51	for	for	ADP
cana-5234	148	52	the	the	DET
cana-5234	148	53	random	random	ADJ
cana-5234	148	54	parameters	parameter	NOUN
cana-5234	148	55	.	.	PUNCT
cana-5234	149	1	consider	consider	VERB
cana-5234	149	2	evaluating	evaluate	VERB
cana-5234	149	3	global	global	ADJ
cana-5234	149	4	distance	distance	NOUN
cana-5234	149	5	transformation	transformation	NOUN
cana-5234	149	6	(	(	PUNCT
cana-5234	149	7	gdt	gdt	NOUN
cana-5234	149	8	)	)	PUNCT
cana-5234	149	9	using	use	VERB
cana-5234	149	10	encode	encode	ADJ
cana-5234	149	11	and	and	CCONJ
cana-5234	149	12	decode	decode	PROPN
cana-5234	149	13	transforms	transform	NOUN
cana-5234	149	14	based	base	VERB
cana-5234	149	15	on	on	ADP
cana-5234	149	16	user	user	NOUN
cana-5234	149	17	interactions	interaction	NOUN
cana-5234	149	18	to	to	PART
cana-5234	149	19	obtain	obtain	VERB
cana-5234	149	20	the	the	DET
cana-5234	149	21	entire	entire	ADJ
cana-5234	149	22	pixel	pixel	NOUN
cana-5234	149	23	distance	distance	NOUN
cana-5234	149	24	of	of	ADP
cana-5234	149	25	a	a	DET
cana-5234	149	26	picture	picture	NOUN
cana-5234	149	27	.	.	PUNCT
cana-5234	150	1	(	(	PUNCT
cana-5234	150	2	)	)	PUNCT
cana-5234	150	3	,	,	PUNCT
cana-5234	150	4	,	,	PUNCT
cana-5234	150	5	,	,	PUNCT
cana-5234	150	6	,	,	PUNCT
cana-5234	150	7	(	(	PUNCT
cana-5234	150	8	)	)	PUNCT
cana-5234	150	9	min	min	NOUN
cana-5234	150	10	,	,	PUNCT
cana-5234	150	11	,	,	PUNCT
cana-5234	150	12	,	,	PUNCT
cana-5234	150	13	(	(	PUNCT
cana-5234	150	14	,	,	PUNCT
cana-5234	150	15	)	)	PUNCT
cana-5234	151	1	n	n	CCONJ
cana-5234	152	1	m	m	VERB
cana-5234	152	2	t	t	NOUN
cana-5234	153	1	k	k	NOUN
cana-5234	153	2	l	l	PROPN
cana-5234	153	3	k	k	X
cana-5234	154	1	l	l	PROPN
cana-5234	154	2	n	n	VERB
cana-5234	154	3	m	m	VERB
cana-5234	154	4	u	u	NOUN
cana-5234	154	5	s	s	PROPN
cana-5234	154	6	gdt	gdt	PROPN
cana-5234	154	7	u	u	PROPN
cana-5234	154	8	dis	dis	PROPN
cana-5234	154	9	u	u	NOUN
cana-5234	154	10	u	u	X
cana-5234	154	11	i	i	PRON
cana-5234	154	12	t	t	VERB
cana-5234	154	13	n	n	CCONJ
cana-5234	154	14	p	p	NOUN
cana-5234	154	15			VERB
cana-5234	154	16			NOUN
cana-5234	154	17	=	=	PUNCT
cana-5234	154	18			NOUN
cana-5234	154	19	(	(	PUNCT
cana-5234	154	20	)	)	PUNCT
cana-5234	154	21	(	(	PUNCT
cana-5234	154	22	)	)	PUNCT
cana-5234	154	23	.	.	PUNCT
cana-5234	155	1	,	,	PUNCT
cana-5234	155	2	,	,	PUNCT
cana-5234	155	3	1	1	NUM
cana-5234	155	4	,	,	PUNCT
cana-5234	155	5	,	,	PUNCT
cana-5234	155	6	min	min	PROPN
cana-5234	155	7	||	||	PROPN
cana-5234	155	8	(	(	PUNCT
cana-5234	155	9	)	)	PUNCT
cana-5234	155	10	*	*	PUNCT
cana-5234	155	11	(	(	PUNCT
cana-5234	155	12	)	)	PUNCT
cana-5234	155	13	||	||	NOUN
cana-5234	156	1	n	n	CCONJ
cana-5234	156	2	m	m	VERB
cana-5234	156	3	k	k	NOUN
cana-5234	156	4	l	l	PROPN
cana-5234	156	5	n	n	CCONJ
cana-5234	156	6	m	m	PROPN
cana-5234	156	7	path	path	NOUN
cana-5234	156	8	path	path	NOUN
cana-5234	157	1	dis	dis	PROPN
cana-5234	157	2	u	u	NOUN
cana-5234	157	3	u	u	INTJ
cana-5234	158	1	i	i	PRON
cana-5234	158	2	i	i	PRON
cana-5234	158	3	path	path	VERB
cana-5234	158	4	s	s	PART
cana-5234	158	5	r	r	NOUN
cana-5234	158	6	s	s	X
cana-5234	158	7	ds	ds	NOUN
cana-5234	158	8			NOUN
cana-5234	158	9			NOUN
cana-5234	158	10	=	=	SYM
cana-5234	158	11			NOUN
cana-5234	158	12	figure	figure	NOUN
cana-5234	158	13	6	6	NUM
cana-5234	158	14	illustrates	illustrate	VERB
cana-5234	158	15	the	the	DET
cana-5234	158	16	picture	picture	NOUN
cana-5234	158	17	(	(	PUNCT
cana-5234	158	18	i	i	NOUN
cana-5234	158	19	)	)	PUNCT
cana-5234	158	20	,	,	PUNCT
cana-5234	158	21	path	path	NOUN
cana-5234	158	22	(	(	PUNCT
cana-5234	158	23	r	r	NOUN
cana-5234	158	24	)	)	PUNCT
cana-5234	158	25	,	,	PUNCT
cana-5234	158	26	and	and	CCONJ
cana-5234	158	27	all	all	DET
cana-5234	158	28	paths	path	NOUN
cana-5234	158	29	found	find	VERB
cana-5234	158	30	in	in	ADP
cana-5234	158	31	the	the	DET
cana-5234	158	32	n	n	NOUN
cana-5234	158	33	,	,	PUNCT
cana-5234	158	34	m	m	VERB
cana-5234	158	35	parametric	parametric	ADJ
cana-5234	158	36	pixels	pixel	NOUN
cana-5234	158	37	(	(	PUNCT
cana-5234	158	38	u	u	NOUN
cana-5234	158	39	,	,	PUNCT
cana-5234	158	40	v	v	NOUN
cana-5234	158	41	)	)	PUNCT
cana-5234	158	42	,	,	PUNCT
cana-5234	158	43	along	along	ADP
cana-5234	158	44	with	with	ADP
cana-5234	158	45	the	the	DET
cana-5234	158	46	vector	vector	NOUN
cana-5234	158	47	of	of	ADP
cana-5234	158	48	direct	direct	ADJ
cana-5234	158	49	and	and	CCONJ
cana-5234	158	50	gradient	gradient	ADJ
cana-5234	158	51	distances	distance	NOUN
cana-5234	158	52	between	between	ADP
cana-5234	158	53	these	these	DET
cana-5234	158	54	pixels	pixel	NOUN
cana-5234	158	55	,	,	PUNCT
cana-5234	158	56	to	to	PART
cana-5234	158	57	accompany	accompany	VERB
cana-5234	158	58	the	the	DET
cana-5234	158	59	execution	execution	NOUN
cana-5234	158	60	of	of	ADP
cana-5234	158	61	the	the	DET
cana-5234	158	62	sample	sample	NOUN
cana-5234	158	63	guiding	guide	VERB
cana-5234	158	64	image	image	NOUN
cana-5234	158	65	.	.	PUNCT
cana-5234	159	1	figure	figure	NOUN
cana-5234	159	2	6	6	NUM
cana-5234	159	3	.	.	PUNCT
cana-5234	160	1	da	da	NOUN
cana-5234	160	2	-	-	PUNCT
cana-5234	160	3	based	base	VERB
cana-5234	160	4	picture	picture	NOUN
cana-5234	160	5	,	,	PUNCT
cana-5234	160	6	guiding	guiding	NOUN
cana-5234	160	7	map	map	NOUN
cana-5234	160	8	,	,	PUNCT
cana-5234	160	9	passive	passive	ADJ
cana-5234	160	10	label	label	NOUN
cana-5234	160	11	sampling	sampling	NOUN
cana-5234	160	12	,	,	PUNCT
cana-5234	160	13	negative	negative	ADJ
cana-5234	160	14	sampling	sampling	NOUN
cana-5234	160	15	,	,	PUNCT
cana-5234	160	16	and	and	CCONJ
cana-5234	160	17	image	image	NOUN
cana-5234	160	18	with	with	ADP
cana-5234	160	19	sampling	sample	VERB
cana-5234	160	20	after	after	ADP
cana-5234	160	21	creating	create	VERB
cana-5234	160	22	a	a	DET
cana-5234	160	23	binary	binary	ADJ
cana-5234	160	24	sampled	sample	VERB
cana-5234	160	25	mask	mask	NOUN
cana-5234	160	26	image	image	NOUN
cana-5234	160	27	using	use	VERB
cana-5234	160	28	various	various	ADJ
cana-5234	160	29	pixel	pixel	ADJ
cana-5234	160	30	notations	notation	NOUN
cana-5234	160	31	set	set	VERB
cana-5234	160	32	to	to	ADP
cana-5234	160	33	1	1	NUM
cana-5234	160	34	,	,	PUNCT
cana-5234	160	35	0	0	NUM
cana-5234	161	1	,	,	PUNCT
cana-5234	161	2	we	we	PRON
cana-5234	161	3	tested	test	VERB
cana-5234	161	4	multi	multi	ADJ
cana-5234	161	5	-	-	ADJ
cana-5234	161	6	scale	scale	ADJ
cana-5234	161	7	feature	feature	NOUN
cana-5234	161	8	processing	processing	NOUN
cana-5234	161	9	using	use	VERB
cana-5234	161	10	sampling	sampling	NOUN
cana-5234	161	11	.	.	PUNCT
cana-5234	162	1	2.2.2	2.2.2	X
cana-5234	162	2	.	.	PUNCT
cana-5234	162	3	differential	differential	ADJ
cana-5234	162	4	feature	feature	NOUN
cana-5234	162	5	extraction	extraction	NOUN
cana-5234	162	6	based	base	VERB
cana-5234	162	7	on	on	ADP
cana-5234	162	8	contours	contours	NOUN
cana-5234	162	9	the	the	DET
cana-5234	162	10	proposed	propose	VERB
cana-5234	162	11	contour	contour	NOUN
cana-5234	162	12	-	-	PUNCT
cana-5234	162	13	based	base	VERB
cana-5234	162	14	multi	multi	ADJ
cana-5234	162	15	-	-	ADJ
cana-5234	162	16	feature	feature	ADJ
cana-5234	162	17	extraction	extraction	NOUN
cana-5234	162	18	is	be	AUX
cana-5234	162	19	very	very	ADV
cana-5234	162	20	different	different	ADJ
cana-5234	162	21	from	from	ADP
cana-5234	162	22	the	the	DET
cana-5234	162	23	existing	exist	VERB
cana-5234	162	24	multi	multi	ADJ
cana-5234	162	25	-	-	ADJ
cana-5234	162	26	scale	scale	ADJ
cana-5234	162	27	extraction	extraction	NOUN
cana-5234	162	28	features	feature	NOUN
cana-5234	162	29	;	;	PUNCT
cana-5234	162	30	so	so	CCONJ
cana-5234	162	31	,	,	PUNCT
cana-5234	162	32	we	we	PRON
cana-5234	162	33	employ	employ	VERB
cana-5234	162	34	the	the	DET
cana-5234	162	35	following	follow	VERB
cana-5234	162	36	modules	module	NOUN
cana-5234	162	37	to	to	PART
cana-5234	162	38	process	process	VERB
cana-5234	162	39	it	it	PRON
cana-5234	162	40	:	:	PUNCT
cana-5234	162	41	extraction	extraction	NOUN
cana-5234	162	42	of	of	ADP
cana-5234	162	43	local	local	ADJ
cana-5234	162	44	features	feature	NOUN
cana-5234	162	45	(	(	PUNCT
cana-5234	162	46	lfe	lfe	PROPN
cana-5234	162	47	)	)	PUNCT
cana-5234	162	48	,	,	PUNCT
cana-5234	162	49	channel	channel	NOUN
cana-5234	162	50	and	and	CCONJ
cana-5234	162	51	long	long	ADJ
cana-5234	162	52	receptive	receptive	ADJ
cana-5234	162	53	field	field	NOUN
cana-5234	162	54	-	-	PUNCT
cana-5234	162	55	based	base	VERB
cana-5234	162	56	feature	feature	NOUN
cana-5234	162	57	extraction	extraction	NOUN
cana-5234	162	58	(	(	PUNCT
cana-5234	162	59	cfe&lrfe	cfe&lrfe	NOUN
cana-5234	162	60	)	)	PUNCT
cana-5234	162	61	,	,	PUNCT
cana-5234	162	62	and	and	CCONJ
cana-5234	162	63	so	so	ADV
cana-5234	162	64	on	on	ADV
cana-5234	162	65	.	.	PUNCT
cana-5234	163	1	cfe	cfe	PROPN
cana-5234	163	2	investigates	investigate	VERB
cana-5234	163	3	information	information	NOUN
cana-5234	163	4	regarding	regard	VERB
cana-5234	163	5	the	the	DET
cana-5234	163	6	connections	connection	NOUN
cana-5234	163	7	between	between	ADP
cana-5234	163	8	several	several	ADJ
cana-5234	163	9	feature	feature	NOUN
cana-5234	163	10	maps	map	NOUN
cana-5234	163	11	,	,	PUNCT
cana-5234	163	12	whereas	whereas	SCONJ
cana-5234	163	13	lfe	lfe	PROPN
cana-5234	163	14	and	and	CCONJ
cana-5234	163	15	lrfe	lrfe	NOUN
cana-5234	163	16	are	be	AUX
cana-5234	163	17	components	component	NOUN
cana-5234	163	18	utilized	utilize	VERB
cana-5234	163	19	for	for	ADP
cana-5234	163	20	feature	feature	NOUN
cana-5234	163	21	-	-	PUNCT
cana-5234	163	22	based	base	VERB
cana-5234	163	23	region	region	NOUN
cana-5234	163	24	selection	selection	NOUN
cana-5234	163	25	.	.	PUNCT
cana-5234	164	1	communications	communication	NOUN
cana-5234	164	2	on	on	ADP
cana-5234	164	3	applied	apply	VERB
cana-5234	164	4	nonlinear	nonlinear	ADJ
cana-5234	164	5	analysis	analysis	NOUN
cana-5234	164	6	issn	issn	NOUN
cana-5234	164	7	:	:	PUNCT
cana-5234	164	8	1074	1074	NUM
cana-5234	164	9	-	-	PUNCT
cana-5234	164	10	133x	133x	NUM
cana-5234	164	11	vol	vol	VERB
cana-5234	164	12	32	32	NUM
cana-5234	164	13	no	no	NOUN
cana-5234	164	14	.	.	PUNCT
cana-5234	165	1	10s	10	NOUN
cana-5234	165	2	(	(	PUNCT
cana-5234	165	3	2025	2025	NUM
cana-5234	165	4	)	)	PUNCT
cana-5234	165	5	1314	1314	NUM
cana-5234	165	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5234	165	7	figure	figure	NOUN
cana-5234	165	8	7	7	NUM
cana-5234	165	9	shows	show	VERB
cana-5234	165	10	a	a	DET
cana-5234	165	11	representation	representation	NOUN
cana-5234	165	12	of	of	ADP
cana-5234	165	13	the	the	DET
cana-5234	165	14	agc	agc	PROPN
cana-5234	165	15	module	module	NOUN
cana-5234	165	16	using	use	VERB
cana-5234	165	17	convolution	convolution	NOUN
cana-5234	165	18	layers	layer	NOUN
cana-5234	165	19	and	and	CCONJ
cana-5234	165	20	a	a	DET
cana-5234	165	21	128	128	NUM
cana-5234	165	22	*	*	SYM
cana-5234	165	23	128	128	NUM
cana-5234	165	24	pixel	pixel	NOUN
cana-5234	165	25	dimensionality	dimensionality	NOUN
cana-5234	165	26	.	.	PUNCT
cana-5234	166	1	our	our	PRON
cana-5234	166	2	suggested	suggest	VERB
cana-5234	166	3	approach	approach	NOUN
cana-5234	166	4	modifies	modify	VERB
cana-5234	166	5	the	the	DET
cana-5234	166	6	attention	attention	NOUN
cana-5234	166	7	guidance	guidance	NOUN
cana-5234	166	8	convolution	convolution	NOUN
cana-5234	166	9	(	(	PUNCT
cana-5234	166	10	agc	agc	NOUN
cana-5234	166	11	)	)	PUNCT
cana-5234	166	12	mechanism	mechanism	NOUN
cana-5234	166	13	to	to	PART
cana-5234	166	14	produce	produce	VERB
cana-5234	166	15	multi	multi	ADJ
cana-5234	166	16	-	-	ADJ
cana-5234	166	17	scale	scale	ADJ
cana-5234	166	18	features	feature	NOUN
cana-5234	166	19	on	on	ADP
cana-5234	166	20	various	various	ADJ
cana-5234	166	21	pixel	pixel	NOUN
cana-5234	166	22	positions	position	NOUN
cana-5234	166	23	,	,	PUNCT
cana-5234	166	24	allowing	allow	VERB
cana-5234	166	25	for	for	ADP
cana-5234	166	26	resolution	resolution	NOUN
cana-5234	166	27	-	-	PUNCT
cana-5234	166	28	based	base	VERB
cana-5234	166	29	connection	connection	NOUN
cana-5234	166	30	of	of	ADP
cana-5234	166	31	lowand	lowand	ADJ
cana-5234	166	32	high	high	ADJ
cana-5234	166	33	-	-	PUNCT
cana-5234	166	34	level	level	NOUN
cana-5234	166	35	feature	feature	NOUN
cana-5234	166	36	maps	map	NOUN
cana-5234	166	37	.	.	PUNCT
cana-5234	167	1	the	the	DET
cana-5234	167	2	process	process	NOUN
cana-5234	167	3	and	and	CCONJ
cana-5234	167	4	input	input	NOUN
cana-5234	167	5	feature	feature	NOUN
cana-5234	167	6	maps	map	NOUN
cana-5234	167	7	,	,	PUNCT
cana-5234	167	8	denoted	denote	VERB
cana-5234	167	9	as	as	ADP
cana-5234	167	10	f=(f_1,f_2,	f=(f_1,f_2,	PROPN
cana-5234	167	11	.....	.....	PROPN
cana-5234	167	12	,f_c)∈r^(w	,f_c)∈r^(w	NUM
cana-5234	167	13	,	,	PUNCT
cana-5234	167	14	h	h	NOUN
cana-5234	167	15	,	,	PUNCT
cana-5234	167	16	c	c	NOUN
cana-5234	167	17	)	)	PUNCT
cana-5234	167	18	,	,	PUNCT
cana-5234	167	19	are	be	AUX
cana-5234	167	20	shown	show	VERB
cana-5234	167	21	in	in	ADP
cana-5234	167	22	the	the	DET
cana-5234	167	23	accompanying	accompany	VERB
cana-5234	167	24	graphic	graphic	NOUN
cana-5234	167	25	.	.	PUNCT
cana-5234	168	1	the	the	DET
cana-5234	168	2	channel	channel	NOUN
cana-5234	168	3	,	,	PUNCT
cana-5234	168	4	c	c	NOUN
cana-5234	168	5	,	,	PUNCT
cana-5234	168	6	and	and	CCONJ
cana-5234	168	7	the	the	DET
cana-5234	168	8	width	width	NOUN
cana-5234	168	9	and	and	CCONJ
cana-5234	168	10	height	height	NOUN
cana-5234	168	11	of	of	ADP
cana-5234	168	12	the	the	DET
cana-5234	168	13	i	i	PROPN
cana-5234	168	14	/	/	SYM
cana-5234	168	15	p	p	NOUN
cana-5234	168	16	feature	feature	NOUN
cana-5234	168	17	maps	map	NOUN
cana-5234	168	18	are	be	AUX
cana-5234	168	19	similarly	similarly	ADV
cana-5234	168	20	shown	show	VERB
cana-5234	168	21	.	.	PUNCT
cana-5234	169	1	a	a	DET
cana-5234	169	2	multi	multi	ADJ
cana-5234	169	3	-	-	ADJ
cana-5234	169	4	scale	scale	ADJ
cana-5234	169	5	function	function	NOUN
cana-5234	169	6	and	and	CCONJ
cana-5234	169	7	a	a	DET
cana-5234	169	8	summing	sum	VERB
cana-5234	169	9	feature	feature	NOUN
cana-5234	169	10	map	map	NOUN
cana-5234	169	11	connection	connection	NOUN
cana-5234	169	12	,	,	PUNCT
cana-5234	169	13	denoted	denote	VERB
cana-5234	169	14	as	as	ADP
cana-5234	169	15	seq_gap∈r^(c,1,1)&seq_gmp∈r^(c,1,1	seq_gap∈r^(c,1,1)&seq_gmp∈r^(c,1,1	NOUN
cana-5234	169	16	)	)	PUNCT
cana-5234	169	17	,	,	PUNCT
cana-5234	169	18	can	can	AUX
cana-5234	169	19	be	be	AUX
cana-5234	169	20	used	use	VERB
cana-5234	169	21	to	to	PART
cana-5234	169	22	achieve	achieve	VERB
cana-5234	169	23	the	the	DET
cana-5234	169	24	global	global	ADJ
cana-5234	169	25	feature	feature	NOUN
cana-5234	169	26	image	image	NOUN
cana-5234	169	27	optimization	optimization	NOUN
cana-5234	169	28	discussed	discuss	VERB
cana-5234	169	29	before	before	ADV
cana-5234	169	30	.	.	PUNCT
cana-5234	170	1	the	the	DET
cana-5234	170	2	multi	multi	ADJ
cana-5234	170	3	-	-	ADJ
cana-5234	170	4	feature	feature	NOUN
cana-5234	170	5	-	-	PUNCT
cana-5234	170	6	based	base	VERB
cana-5234	170	7	input	input	NOUN
cana-5234	170	8	feature	feature	NOUN
cana-5234	170	9	scale	scale	NOUN
cana-5234	170	10	function	function	NOUN
cana-5234	170	11	(	(	PUNCT
cana-5234	170	12	fm	fm	NOUN
cana-5234	170	13	)	)	PUNCT
cana-5234	170	14	is	be	AUX
cana-5234	170	15	defined	define	VERB
cana-5234	170	16	as	as	ADP
cana-5234	170	17	𝑜/𝑝𝐴𝐺𝐶	𝑜/𝑝𝐴𝐺𝐶	PROPN
cana-5234	170	18	=	=	SYM
cana-5234	170	19	𝑀	𝑀	PROPN
cana-5234	170	20	∗	∗	VERB
cana-5234	170	21	𝑀𝐹𝑤𝑒𝑖𝑔ℎ𝑡	𝑀𝐹𝑤𝑒𝑖𝑔ℎ𝑡	PROPN
cana-5234	170	22	𝑀𝐹𝑤𝑒𝑖𝑔ℎ𝑡	𝑀𝐹𝑤𝑒𝑖𝑔ℎ𝑡	PROPN
cana-5234	170	23	=	=	SYM
cana-5234	170	24	𝜎[𝑃𝐿𝑀(𝑠𝑒𝑞𝑔𝑎𝑝	𝜎[𝑃𝐿𝑀(𝑠𝑒𝑞𝑔𝑎𝑝	PROPN
cana-5234	170	25	)	)	PUNCT
cana-5234	171	1	+	+	CCONJ
cana-5234	171	2	𝑃𝐿𝑀(𝑠𝑒𝑞𝑔𝑚𝑝	𝑃𝐿𝑀(𝑠𝑒𝑞𝑔𝑚𝑝	NOUN
cana-5234	171	3	)	)	PUNCT
cana-5234	171	4	]	]	PUNCT
cana-5234	171	5	the	the	DET
cana-5234	171	6	function	function	NOUN
cana-5234	171	7	of	of	ADP
cana-5234	171	8	scaled	scaled	ADJ
cana-5234	171	9	features	feature	NOUN
cana-5234	171	10	is	be	AUX
cana-5234	171	11	defined	define	VERB
cana-5234	171	12	by	by	ADP
cana-5234	171	13	and	and	CCONJ
cana-5234	171	14	*	*	VERB
cana-5234	171	15	here	here	ADV
cana-5234	171	16	denotes	denote	VERB
cana-5234	171	17	multiplication	multiplication	NOUN
cana-5234	171	18	of	of	ADP
cana-5234	171	19	the	the	DET
cana-5234	171	20	selected	select	VERB
cana-5234	171	21	element	element	NOUN
cana-5234	171	22	.	.	PUNCT
cana-5234	172	1	the	the	DET
cana-5234	172	2	relevance	relevance	NOUN
cana-5234	172	3	of	of	ADP
cana-5234	172	4	discovered	discover	VERB
cana-5234	172	5	data	datum	NOUN
cana-5234	172	6	can	can	AUX
cana-5234	172	7	be	be	AUX
cana-5234	172	8	communicated	communicate	VERB
cana-5234	172	9	via	via	ADP
cana-5234	172	10	multi	multi	ADJ
cana-5234	172	11	-	-	ADJ
cana-5234	172	12	layer	layer	ADJ
cana-5234	172	13	perception	perception	NOUN
cana-5234	172	14	(	(	PUNCT
cana-5234	172	15	mlp	mlp	NOUN
cana-5234	172	16	)	)	PUNCT
cana-5234	172	17	,	,	PUNCT
cana-5234	172	18	which	which	PRON
cana-5234	172	19	shares	share	NOUN
cana-5234	172	20	features	feature	VERB
cana-5234	172	21	with	with	ADP
cana-5234	172	22	other	other	ADJ
cana-5234	172	23	sequences	sequence	NOUN
cana-5234	172	24	.	.	PUNCT
cana-5234	173	1	several	several	ADJ
cana-5234	173	2	layers	layer	NOUN
cana-5234	173	3	—	—	PUNCT
cana-5234	173	4	lay1	lay1	NOUN
cana-5234	173	5	,	,	PUNCT
cana-5234	173	6	lay2	lay2	NOUN
cana-5234	173	7	,	,	PUNCT
cana-5234	173	8	lay3	lay3	NOUN
cana-5234	173	9	,	,	PUNCT
cana-5234	173	10	...	...	PUNCT
cana-5234	173	11	,	,	PUNCT
cana-5234	173	12	lay7	lay7	PROPN
cana-5234	173	13	—	—	PUNCT
cana-5234	173	14	are	be	AUX
cana-5234	173	15	used	use	VERB
cana-5234	173	16	to	to	PART
cana-5234	173	17	obtain	obtain	VERB
cana-5234	173	18	the	the	DET
cana-5234	173	19	input	input	NOUN
cana-5234	173	20	image	image	NOUN
cana-5234	173	21	based	base	VERB
cana-5234	173	22	on	on	ADP
cana-5234	173	23	the	the	DET
cana-5234	173	24	previously	previously	ADV
cana-5234	173	25	discussed	discuss	VERB
cana-5234	173	26	map	map	NOUN
cana-5234	173	27	connection	connection	NOUN
cana-5234	173	28	for	for	ADP
cana-5234	173	29	multi	multi	ADJ
cana-5234	173	30	features	feature	NOUN
cana-5234	173	31	technique	technique	NOUN
cana-5234	173	32	.	.	PUNCT
cana-5234	174	1	our	our	PRON
cana-5234	174	2	suggested	suggest	VERB
cana-5234	174	3	approach	approach	NOUN
cana-5234	174	4	was	be	AUX
cana-5234	174	5	centered	center	VERB
cana-5234	174	6	on	on	ADP
cana-5234	174	7	features	feature	NOUN
cana-5234	174	8	that	that	PRON
cana-5234	174	9	are	be	AUX
cana-5234	174	10	both	both	ADV
cana-5234	174	11	dependable	dependable	ADJ
cana-5234	174	12	and	and	CCONJ
cana-5234	174	13	effective	effective	ADJ
cana-5234	174	14	.	.	PUNCT
cana-5234	175	1	tagged	tag	VERB
cana-5234	175	2	features	feature	NOUN
cana-5234	175	3	based	base	VERB
cana-5234	175	4	on	on	ADP
cana-5234	175	5	pixel	pixel	ADJ
cana-5234	175	6	interactions	interaction	NOUN
cana-5234	175	7	are	be	AUX
cana-5234	175	8	combined	combine	VERB
cana-5234	175	9	to	to	PART
cana-5234	175	10	extract	extract	VERB
cana-5234	175	11	characteristics	characteristic	NOUN
cana-5234	175	12	from	from	ADP
cana-5234	175	13	images	image	NOUN
cana-5234	175	14	,	,	PUNCT
cana-5234	175	15	whether	whether	SCONJ
cana-5234	175	16	at	at	ADP
cana-5234	175	17	low	low	ADJ
cana-5234	175	18	and	and	CCONJ
cana-5234	175	19	high	high	ADJ
cana-5234	175	20	resolution	resolution	NOUN
cana-5234	175	21	.	.	PUNCT
cana-5234	176	1	features	feature	NOUN
cana-5234	176	2	from	from	ADP
cana-5234	176	3	lower	low	ADJ
cana-5234	176	4	layers	layer	NOUN
cana-5234	176	5	explain	explain	VERB
cana-5234	176	6	low	low	ADJ
cana-5234	176	7	-	-	PUNCT
cana-5234	176	8	level	level	NOUN
cana-5234	176	9	label	label	NOUN
cana-5234	176	10	information	information	NOUN
cana-5234	176	11	,	,	PUNCT
cana-5234	176	12	while	while	SCONJ
cana-5234	176	13	deep	deep	ADJ
cana-5234	176	14	layers	layer	NOUN
cana-5234	176	15	look	look	VERB
cana-5234	176	16	at	at	ADP
cana-5234	176	17	high	high	ADJ
cana-5234	176	18	-	-	PUNCT
cana-5234	176	19	level	level	NOUN
cana-5234	176	20	consistency	consistency	NOUN
cana-5234	176	21	information	information	NOUN
cana-5234	176	22	.	.	PUNCT
cana-5234	177	1	this	this	DET
cana-5234	177	2	result	result	NOUN
cana-5234	177	3	in	in	ADP
cana-5234	177	4	a	a	DET
cana-5234	177	5	compressed	compressed	ADJ
cana-5234	177	6	version	version	NOUN
cana-5234	177	7	of	of	ADP
cana-5234	177	8	the	the	DET
cana-5234	177	9	data	datum	NOUN
cana-5234	177	10	pertaining	pertain	VERB
cana-5234	177	11	to	to	ADP
cana-5234	177	12	deep	deep	ADJ
cana-5234	177	13	layers	layer	NOUN
cana-5234	177	14	that	that	PRON
cana-5234	177	15	provides	provide	VERB
cana-5234	177	16	enhanced	enhanced	ADJ
cana-5234	177	17	features	feature	NOUN
cana-5234	177	18	.	.	PUNCT
cana-5234	178	1	before	before	ADP
cana-5234	178	2	describing	describe	VERB
cana-5234	178	3	the	the	DET
cana-5234	178	4	loss	loss	NOUN
cana-5234	178	5	function	function	NOUN
cana-5234	178	6	that	that	PRON
cana-5234	178	7	is	be	AUX
cana-5234	178	8	based	base	VERB
cana-5234	178	9	on	on	ADP
cana-5234	178	10	the	the	DET
cana-5234	178	11	sequence	sequence	NOUN
cana-5234	178	12	of	of	ADP
cana-5234	178	13	multi	multi	NOUN
cana-5234	178	14	-	-	NOUN
cana-5234	178	15	features	feature	NOUN
cana-5234	178	16	,	,	PUNCT
cana-5234	178	17	multi	multi	ADJ
cana-5234	178	18	-	-	ADJ
cana-5234	178	19	feature	feature	ADJ
cana-5234	178	20	functions	function	NOUN
cana-5234	178	21	that	that	PRON
cana-5234	178	22	are	be	AUX
cana-5234	178	23	defined	define	VERB
cana-5234	178	24	in	in	ADP
cana-5234	178	25	the	the	DET
cana-5234	178	26	[	[	NOUN
cana-5234	178	27	1,0	1,0	NUM
cana-5234	178	28	]	]	PUNCT
cana-5234	178	29	range	range	NOUN
cana-5234	178	30	are	be	AUX
cana-5234	178	31	assigned	assign	VERB
cana-5234	178	32	.	.	PUNCT
cana-5234	179	1	𝑙𝑜𝑠	𝑙𝑜𝑠	NOUN
cana-5234	180	1	=	=	SYM
cana-5234	180	2	min𝑙𝑜𝑠𝛾(𝑌	min𝑙𝑜𝑠𝛾(𝑌	PROPN
cana-5234	180	3	,	,	PUNCT
cana-5234	180	4	𝑃𝛾	𝑃𝛾	NOUN
cana-5234	180	5	)	)	PUNCT
cana-5234	180	6	𝑙𝑜𝑠𝛾	𝑙𝑜𝑠𝛾	NOUN
cana-5234	180	7	=	=	SYM
cana-5234	180	8	1	1	NUM
cana-5234	180	9	−	−	NOUN
cana-5234	180	10	∑	∑	PUNCT
cana-5234	180	11	min(𝑌𝑢,𝑃𝛾	min(𝑌𝑢,𝑃𝛾	NOUN
cana-5234	180	12	𝑢	𝑢	X
cana-5234	180	13	)	)	PUNCT
cana-5234	180	14	𝑢	𝑢	PROPN
cana-5234	180	15	∑	∑	ADV
cana-5234	180	16	max(𝑌𝑢	max(𝑌𝑢	NOUN
cana-5234	180	17	,	,	PUNCT
cana-5234	180	18	𝑃𝛾	𝑃𝛾	PROPN
cana-5234	180	19	𝑢	𝑢	PART
cana-5234	180	20	)	)	PUNCT
cana-5234	180	21	𝑢	𝑢	PROPN
cana-5234	180	22	here	here	ADV
cana-5234	180	23	,	,	PUNCT
cana-5234	180	24	u	u	NOUN
cana-5234	180	25	uy	uy	NOUN
cana-5234	180	26	p	p	VERB
cana-5234	180	27	each	each	DET
cana-5234	180	28	picture	picture	NOUN
cana-5234	180	29	's	's	PART
cana-5234	180	30	pixel	pixel	NOUN
cana-5234	180	31	,	,	PUNCT
cana-5234	180	32	as	as	ADV
cana-5234	180	33	well	well	ADV
cana-5234	180	34	as	as	ADP
cana-5234	180	35	u	u	NOUN
cana-5234	180	36	,	,	PUNCT
cana-5234	180	37	which	which	PRON
cana-5234	180	38	stands	stand	VERB
cana-5234	180	39	for	for	ADP
cana-5234	180	40	the	the	DET
cana-5234	180	41	ground	ground	NOUN
cana-5234	180	42	and	and	CCONJ
cana-5234	180	43	multi	multi	ADJ
cana-5234	180	44	-	-	ADJ
cana-5234	180	45	scale	scale	ADJ
cana-5234	180	46	features	feature	NOUN
cana-5234	180	47	and	and	CCONJ
cana-5234	180	48	the	the	DET
cana-5234	180	49	properties	property	NOUN
cana-5234	180	50	linked	link	VERB
cana-5234	180	51	to	to	ADP
cana-5234	180	52	them	they	PRON
cana-5234	180	53	.	.	PUNCT
cana-5234	181	1	figure	figure	VERB
cana-5234	181	2	8	8	NUM
cana-5234	181	3	displays	display	VERB
cana-5234	181	4	the	the	DET
cana-5234	181	5	final	final	ADJ
cana-5234	181	6	pictures	picture	NOUN
cana-5234	181	7	generated	generate	VERB
cana-5234	181	8	by	by	ADP
cana-5234	181	9	the	the	DET
cana-5234	181	10	covid-19	covid-19	PROPN
cana-5234	181	11	body	body	NOUN
cana-5234	181	12	segmentation	segmentation	NOUN
cana-5234	181	13	tool	tool	NOUN
cana-5234	181	14	.	.	PUNCT
cana-5234	182	1	communications	communication	NOUN
cana-5234	182	2	on	on	ADP
cana-5234	182	3	applied	apply	VERB
cana-5234	182	4	nonlinear	nonlinear	ADJ
cana-5234	182	5	analysis	analysis	NOUN
cana-5234	182	6	issn	issn	NOUN
cana-5234	182	7	:	:	PUNCT
cana-5234	182	8	1074	1074	NUM
cana-5234	182	9	-	-	PUNCT
cana-5234	182	10	133x	133x	NUM
cana-5234	182	11	vol	vol	VERB
cana-5234	182	12	32	32	NUM
cana-5234	182	13	no	no	NOUN
cana-5234	182	14	.	.	PUNCT
cana-5234	183	1	10s	10	NOUN
cana-5234	183	2	(	(	PUNCT
cana-5234	183	3	2025	2025	NUM
cana-5234	183	4	)	)	PUNCT
cana-5234	183	5	1315	1315	NUM
cana-5234	183	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5234	183	7	figure	figure	NOUN
cana-5234	183	8	8	8	NUM
cana-5234	183	9	displays	display	VERB
cana-5234	183	10	the	the	DET
cana-5234	183	11	final	final	ADJ
cana-5234	183	12	pictures	picture	NOUN
cana-5234	183	13	generated	generate	VERB
cana-5234	183	14	by	by	ADP
cana-5234	183	15	the	the	DET
cana-5234	183	16	covid-19	covid-19	PROPN
cana-5234	183	17	body	body	NOUN
cana-5234	183	18	segmentation	segmentation	NOUN
cana-5234	183	19	tool	tool	NOUN
cana-5234	183	20	.	.	PUNCT
cana-5234	184	1	as	as	ADV
cana-5234	184	2	well	well	ADV
cana-5234	184	3	as	as	ADP
cana-5234	184	4	u	u	NOUN
cana-5234	184	5	,	,	PUNCT
cana-5234	184	6	this	this	PRON
cana-5234	184	7	stands	stand	VERB
cana-5234	184	8	for	for	ADP
cana-5234	184	9	the	the	DET
cana-5234	184	10	ground	ground	NOUN
cana-5234	184	11	and	and	CCONJ
cana-5234	184	12	multi	multi	ADJ
cana-5234	184	13	-	-	ADJ
cana-5234	184	14	scale	scale	ADJ
cana-5234	184	15	features	feature	NOUN
cana-5234	184	16	and	and	CCONJ
cana-5234	184	17	the	the	DET
cana-5234	184	18	properties	property	NOUN
cana-5234	184	19	linked	link	VERB
cana-5234	184	20	to	to	ADP
cana-5234	184	21	them	they	PRON
cana-5234	184	22	.	.	PUNCT
cana-5234	185	1	input	input	NOUN
cana-5234	185	2	:	:	PUNCT
cana-5234	185	3	(	(	PUNCT
cana-5234	185	4	(	(	PUNCT
cana-5234	185	5	u_1	u_1	NOUN
cana-5234	185	6	)	)	PUNCT
cana-5234	185	7	̂(h))((u2	̂(h))((u2	ADV
cana-5234	185	8	)	)	PUNCT
cana-5234	185	9	(	(	PUNCT
cana-5234	185	10	̂h	̂h	NOUN
cana-5234	185	11	)	)	PUNCT
cana-5234	185	12	)	)	PUNCT
cana-5234	185	13	,	,	PUNCT
cana-5234	185	14	example	example	NOUN
cana-5234	185	15	binary	binary	PROPN
cana-5234	185	16	mask	mask	NOUN
cana-5234	185	17	picture	picture	NOUN
cana-5234	185	18	,	,	PUNCT
cana-5234	185	19	and	and	CCONJ
cana-5234	185	20	medical	medical	ADJ
cana-5234	185	21	covid	covid	PROPN
cana-5234	185	22	image	image	PROPN
cana-5234	185	23	.	.	PUNCT
cana-5234	186	1	segmented	segment	VERB
cana-5234	186	2	image	image	NOUN
cana-5234	186	3	with	with	ADP
cana-5234	186	4	covid	covid	PROPN
cana-5234	186	5	body	body	NOUN
cana-5234	186	6	extraction	extraction	NOUN
cana-5234	186	7	as	as	ADP
cana-5234	186	8	the	the	DET
cana-5234	186	9	output	output	NOUN
cana-5234	186	10	s1	s1	NOUN
cana-5234	186	11	:	:	PUNCT
cana-5234	186	12	assess	assess	VERB
cana-5234	186	13	multi	multi	ADJ
cana-5234	186	14	scale	scale	NOUN
cana-5234	186	15	feature	feature	NOUN
cana-5234	186	16	instance	instance	NOUN
cana-5234	186	17	from	from	ADP
cana-5234	186	18	image	image	NOUN
cana-5234	186	19	based	base	VERB
cana-5234	186	20	on	on	ADP
cana-5234	186	21	above	above	ADP
cana-5234	186	22	equations	equation	NOUN
cana-5234	186	23	s2	s2	PROPN
cana-5234	186	24	:	:	PUNCT
cana-5234	186	25	in	in	ADP
cana-5234	186	26	a	a	DET
cana-5234	186	27	medical	medical	ADJ
cana-5234	186	28	covid-19	covid-19	PROPN
cana-5234	186	29	image	image	NOUN
cana-5234	186	30	,	,	PUNCT
cana-5234	186	31	find	find	VERB
cana-5234	186	32	the	the	DET
cana-5234	186	33	feature	feature	NOUN
cana-5234	186	34	distance	distance	NOUN
cana-5234	186	35	of	of	ADP
cana-5234	186	36	each	each	DET
cana-5234	186	37	pixel	pixel	NOUN
cana-5234	186	38	and	and	CCONJ
cana-5234	186	39	name	name	VERB
cana-5234	186	40	the	the	DET
cana-5234	186	41	region	region	NOUN
cana-5234	186	42	where	where	SCONJ
cana-5234	186	43	r	r	NOUN
cana-5234	186	44	=	=	NOUN
cana-5234	186	45	h|(u	h|(u	PROPN
cana-5234	186	46	⏴	⏴	PROPN
cana-5234	186	47	⏜	⏜	NOUN
cana-5234	186	48	(	(	PUNCT
cana-5234	186	49	h)>u	h)>u	NOUN
cana-5234	186	50	⎴	⎴	PROPN
cana-5234	186	51	⏜	⏜	NOUN
cana-5234	186	52	(	(	PUNCT
cana-5234	186	53	h-1))&(u	h-1))&(u	PROPN
cana-5234	186	54	⎴	⎴	NUM
cana-5234	186	55	⏜	⏜	NOUN
cana-5234	186	56	(	(	PUNCT
cana-5234	186	57	h)>u	h)>u	NOUN
cana-5234	186	58	⎴	⎴	PROPN
cana-5234	186	59	⏜	⏜	NOUN
cana-5234	186	60	(	(	PUNCT
cana-5234	186	61	h+1	h+1	NOUN
cana-5234	186	62	)	)	PUNCT
cana-5234	186	63	)	)	PUNCT
cana-5234	186	64	.	.	PUNCT
cana-5234	187	1	in	in	ADP
cana-5234	187	2	which	which	DET
cana-5234	187	3	case	case	NOUN
cana-5234	187	4	r	r	NOUN
cana-5234	187	5	is	be	AUX
cana-5234	187	6	the	the	DET
cana-5234	187	7	area	area	NOUN
cana-5234	187	8	that	that	PRON
cana-5234	187	9	encompasses	encompass	VERB
cana-5234	187	10	all	all	PRON
cana-5234	187	11	of	of	ADP
cana-5234	187	12	the	the	DET
cana-5234	187	13	covid	covid	PROPN
cana-5234	187	14	body	body	NOUN
cana-5234	187	15	's	's	PART
cana-5234	187	16	pixels	pixel	NOUN
cana-5234	187	17	.	.	PUNCT
cana-5234	188	1	s3	s3	NOUN
cana-5234	188	2	:	:	PUNCT
cana-5234	188	3	find	find	VERB
cana-5234	188	4	the	the	DET
cana-5234	188	5	cutoff	cutoff	NOUN
cana-5234	188	6	for	for	ADP
cana-5234	188	7	all	all	DET
cana-5234	188	8	images	image	NOUN
cana-5234	188	9	where	where	SCONJ
cana-5234	188	10	the	the	DET
cana-5234	188	11	pixel	pixel	PROPN
cana-5234	188	12	locations	location	NOUN
cana-5234	188	13	are	be	AUX
cana-5234	188	14	within	within	ADP
cana-5234	188	15	the	the	DET
cana-5234	188	16	defined	define	VERB
cana-5234	188	17	region	region	NOUN
cana-5234	188	18	,	,	PUNCT
cana-5234	188	19	denoted	denote	VERB
cana-5234	188	20	as	as	ADP
cana-5234	188	21	r={h|(u	r={h|(u	NOUN
cana-5234	188	22	┴	┴	NOUN
cana-5234	188	23	⏜	⏜	NOUN
cana-5234	188	24	(	(	PUNCT
cana-5234	188	25	h)>u⏜	h)>u⏜	X
cana-5234	188	26	(	(	PUNCT
cana-5234	188	27	h-1))&(u	h-1))&(u	PROPN
cana-5234	188	28	(	(	PUNCT
cana-5234	188	29	h)>u	h)>u	NOUN
cana-5234	188	30	┬	┬	PROPN
cana-5234	188	31	⏜	⏜	NOUN
cana-5234	188	32	(	(	PUNCT
cana-5234	188	33	h+1	h+1	NOUN
cana-5234	188	34	)	)	PUNCT
cana-5234	188	35	)	)	PUNCT
cana-5234	188	36	}	}	PUNCT
cana-5234	188	37	.	.	PUNCT
cana-5234	189	1	which	which	PRON
cana-5234	189	2	is	be	AUX
cana-5234	189	3	where	where	SCONJ
cana-5234	189	4	the	the	DET
cana-5234	189	5	weight	weight	NOUN
cana-5234	189	6	and	and	CCONJ
cana-5234	189	7	height	height	NOUN
cana-5234	189	8	of	of	ADP
cana-5234	189	9	the	the	DET
cana-5234	189	10	image	image	NOUN
cana-5234	189	11	determine	determine	VERB
cana-5234	189	12	the	the	DET
cana-5234	189	13	total	total	ADJ
cana-5234	189	14	pixel	pixel	NOUN
cana-5234	189	15	threshold	threshold	NOUN
cana-5234	189	16	,	,	PUNCT
cana-5234	189	17	denoted	denote	VERB
cana-5234	189	18	as	as	ADP
cana-5234	189	19	k.	k.	PROPN
cana-5234	189	20	s4	s4	PROPN
cana-5234	189	21	:	:	PUNCT
cana-5234	189	22	remove	remove	VERB
cana-5234	189	23	all	all	DET
cana-5234	189	24	pixels	pixel	NOUN
cana-5234	189	25	from	from	ADP
cana-5234	189	26	the	the	DET
cana-5234	189	27	backdrop	backdrop	NOUN
cana-5234	189	28	.	.	PUNCT
cana-5234	190	1	s5	s5	NOUN
cana-5234	190	2	:	:	PUNCT
cana-5234	190	3	check	check	VERB
cana-5234	190	4	the	the	DET
cana-5234	190	5	values	value	NOUN
cana-5234	190	6	of	of	ADP
cana-5234	190	7	every	every	DET
cana-5234	190	8	pixel	pixel	NOUN
cana-5234	190	9	in	in	ADP
cana-5234	190	10	the	the	DET
cana-5234	190	11	background	background	NOUN
cana-5234	190	12	and	and	CCONJ
cana-5234	190	13	foreground	foreground	NOUN
cana-5234	190	14	.	.	PUNCT
cana-5234	191	1	for	for	ADP
cana-5234	191	2	high	high	ADJ
cana-5234	191	3	values	value	NOUN
cana-5234	191	4	of	of	ADP
cana-5234	191	5	h	h	NOUN
cana-5234	191	6	,	,	PUNCT
cana-5234	191	7	where	where	SCONJ
cana-5234	191	8	r	r	NOUN
cana-5234	191	9	=	=	SYM
cana-5234	191	10	r	r	NOUN
cana-5234	191	11	-	-	PUNCT
cana-5234	191	12	h	h	NOUN
cana-5234	191	13	,	,	PUNCT
cana-5234	191	14	k	k	X
cana-5234	191	15	=	=	X
cana-5234	191	16	k-	k-	X
cana-5234	191	17	.	.	PUNCT
cana-5234	192	1	on	on	ADP
cana-5234	192	2	the	the	DET
cana-5234	192	3	other	other	ADJ
cana-5234	192	4	hand	hand	NOUN
cana-5234	192	5	,	,	PUNCT
cana-5234	192	6	since	since	SCONJ
cana-5234	192	7	u	u	PROPN
cana-5234	192	8	(	(	PUNCT
cana-5234	192	9	h+1)≠u	h+1)≠u	PROPN
cana-5234	192	10	⎴	⎴	PROPN
cana-5234	192	11	⏜	⏜	NOUN
cana-5234	192	12	(	(	PUNCT
cana-5234	192	13	h-1	h-1	PROPN
cana-5234	192	14	)	)	PUNCT
cana-5234	192	15	when	when	SCONJ
cana-5234	192	16	(	(	PUNCT
cana-5234	192	17	h	h	NOUN
cana-5234	192	18	)	)	PUNCT
cana-5234	192	19	is	be	AUX
cana-5234	192	20	small	small	ADJ
cana-5234	192	21	:	:	PUNCT
cana-5234	192	22	s6	s6	PROPN
cana-5234	192	23	:	:	PUNCT
cana-5234	192	24	using	use	VERB
cana-5234	192	25	all	all	PRON
cana-5234	192	26	of	of	ADP
cana-5234	192	27	the	the	DET
cana-5234	192	28	image	image	NOUN
cana-5234	192	29	's	's	PART
cana-5234	192	30	evaluated	evaluate	VERB
cana-5234	192	31	interaction	interaction	NOUN
cana-5234	192	32	values	value	NOUN
cana-5234	192	33	,	,	PUNCT
cana-5234	192	34	each	each	DET
cana-5234	192	35	pixel	pixel	NOUN
cana-5234	192	36	is	be	AUX
cana-5234	192	37	represented	represent	VERB
cana-5234	192	38	as	as	ADP
cana-5234	192	39	{	{	PUNCT
cana-5234	192	40	[	[	X
cana-5234	192	41	i1,1	i1,1	NOUN
cana-5234	192	42	]	]	X
cana-5234	192	43	,	,	PUNCT
cana-5234	193	1	[	[	X
cana-5234	193	2	i2,1	i2,1	X
cana-5234	193	3	]	]	X
cana-5234	193	4	,	,	PUNCT
cana-5234	194	1	[	[	X
cana-5234	194	2	i3,1	i3,1	X
cana-5234	194	3	]	]	X
cana-5234	194	4	…	…	PUNCT
cana-5234	194	5	.	.	PUNCT
cana-5234	195	1	[	[	X
cana-5234	195	2	in	in	ADP
cana-5234	195	3	,	,	PUNCT
cana-5234	195	4	n	n	CCONJ
cana-5234	195	5	]	]	PUNCT
cana-5234	195	6	}	}	PUNCT
cana-5234	195	7	.	.	PUNCT
cana-5234	196	1	s7	s7	NOUN
cana-5234	196	2	:	:	PUNCT
cana-5234	196	3	divided	divide	VERB
cana-5234	196	4	covid	covid	PROPN
cana-5234	196	5	body	body	NOUN
cana-5234	196	6	photos	photo	NOUN
cana-5234	196	7	similar	similar	ADJ
cana-5234	196	8	to	to	ADP
cana-5234	196	9	s1	s1	NOUN
cana-5234	196	10	,	,	PUNCT
cana-5234	196	11	s2	s2	PROPN
cana-5234	196	12	,	,	PUNCT
cana-5234	196	13	...	...	PUNCT
cana-5234	197	1	2.2.3	2.2.3	X
cana-5234	197	2	.	.	PUNCT
cana-5234	197	3	extracting	extract	VERB
cana-5234	197	4	covid-19	covid-19	PROPN
cana-5234	197	5	body	body	NOUN
cana-5234	197	6	segments	segment	NOUN
cana-5234	197	7	with	with	ADP
cana-5234	197	8	maximum	maximum	ADJ
cana-5234	197	9	efficiency	efficiency	NOUN
cana-5234	197	10	the	the	DET
cana-5234	197	11	evaluation	evaluation	NOUN
cana-5234	197	12	of	of	ADP
cana-5234	197	13	pixel	pixel	PROPN
cana-5234	197	14	weights	weight	NOUN
cana-5234	197	15	with	with	ADP
cana-5234	197	16	suitable	suitable	ADJ
cana-5234	197	17	neighbor	neighbor	NOUN
cana-5234	197	18	pixel	pixel	NOUN
cana-5234	197	19	selection	selection	NOUN
cana-5234	197	20	of	of	ADP
cana-5234	197	21	each	each	DET
cana-5234	197	22	image	image	NOUN
cana-5234	197	23	follows	follow	VERB
cana-5234	197	24	the	the	DET
cana-5234	197	25	processing	processing	NOUN
cana-5234	197	26	of	of	ADP
cana-5234	197	27	multi	multi	ADJ
cana-5234	197	28	feature	feature	NOUN
cana-5234	197	29	extraction	extraction	NOUN
cana-5234	197	30	and	and	CCONJ
cana-5234	197	31	the	the	DET
cana-5234	197	32	completion	completion	NOUN
cana-5234	197	33	of	of	ADP
cana-5234	197	34	the	the	DET
cana-5234	197	35	training	training	NOUN
cana-5234	197	36	procedure	procedure	NOUN
cana-5234	197	37	.	.	PUNCT
cana-5234	198	1	after	after	ADP
cana-5234	198	2	taking	take	VERB
cana-5234	198	3	a	a	DET
cana-5234	198	4	raw	raw	ADJ
cana-5234	198	5	,	,	PUNCT
cana-5234	198	6	relevant	relevant	ADJ
cana-5234	198	7	image	image	NOUN
cana-5234	198	8	as	as	ADP
cana-5234	198	9	input	input	NOUN
cana-5234	198	10	and	and	CCONJ
cana-5234	198	11	using	use	VERB
cana-5234	198	12	a	a	DET
cana-5234	198	13	probability	probability	NOUN
cana-5234	198	14	map	map	NOUN
cana-5234	198	15	link	link	NOUN
cana-5234	198	16	discovered	discover	VERB
cana-5234	198	17	by	by	ADP
cana-5234	198	18	a	a	DET
cana-5234	198	19	multi	multi	ADJ
cana-5234	198	20	-	-	ADJ
cana-5234	198	21	scale	scale	ADJ
cana-5234	198	22	feature	feature	NOUN
cana-5234	198	23	search	search	NOUN
cana-5234	198	24	procedure	procedure	NOUN
cana-5234	198	25	,	,	PUNCT
cana-5234	198	26	it	it	PRON
cana-5234	198	27	is	be	AUX
cana-5234	198	28	able	able	ADJ
cana-5234	198	29	to	to	PART
cana-5234	198	30	segment	segment	VERB
cana-5234	198	31	bodies	body	NOUN
cana-5234	198	32	of	of	ADP
cana-5234	198	33	covid	covid	NOUN
cana-5234	198	34	.	.	PUNCT
cana-5234	199	1	because	because	SCONJ
cana-5234	199	2	this	this	DET
cana-5234	199	3	task	task	NOUN
cana-5234	199	4	reads	read	VERB
cana-5234	199	5	image	image	NOUN
cana-5234	199	6	pixels	pixel	NOUN
cana-5234	199	7	,	,	PUNCT
cana-5234	199	8	this	this	DET
cana-5234	199	9	module	module	NOUN
cana-5234	199	10	comprises	comprise	VERB
cana-5234	199	11	a	a	DET
cana-5234	199	12	lot	lot	NOUN
cana-5234	199	13	of	of	ADP
cana-5234	199	14	them	they	PRON
cana-5234	199	15	.	.	PUNCT
cana-5234	200	1	the	the	DET
cana-5234	200	2	model	model	NOUN
cana-5234	200	3	that	that	PRON
cana-5234	200	4	works	work	VERB
cana-5234	200	5	best	well	ADV
cana-5234	200	6	when	when	SCONJ
cana-5234	200	7	evaluating	evaluate	VERB
cana-5234	200	8	pixels	pixel	NOUN
cana-5234	200	9	with	with	ADP
cana-5234	200	10	different	different	ADJ
cana-5234	200	11	decoding	decoding	NOUN
cana-5234	200	12	variables	variable	NOUN
cana-5234	200	13	is	be	AUX
cana-5234	200	14	optimized	optimize	VERB
cana-5234	200	15	covid	covid	NOUN
cana-5234	200	16	body	body	NOUN
cana-5234	200	17	segmentation	segmentation	NOUN
cana-5234	200	18	with	with	ADP
cana-5234	200	19	multi	multi	ADJ
cana-5234	200	20	scale	scale	NOUN
cana-5234	200	21	feature	feature	NOUN
cana-5234	200	22	extraction	extraction	NOUN
cana-5234	200	23	.	.	PUNCT
cana-5234	201	1	the	the	DET
cana-5234	201	2	process	process	NOUN
cana-5234	201	3	of	of	ADP
cana-5234	201	4	optimized	optimize	VERB
cana-5234	201	5	segmentation	segmentation	NOUN
cana-5234	201	6	is	be	AUX
cana-5234	201	7	defined	define	VERB
cana-5234	201	8	as	as	ADP
cana-5234	201	9	,	,	PUNCT
cana-5234	201	10	(	(	PUNCT
cana-5234	201	11	|	|	ADV
cana-5234	201	12	)	)	PUNCT
cana-5234	201	13	(	(	PUNCT
cana-5234	201	14	)	)	PUNCT
cana-5234	201	15	(	(	PUNCT
cana-5234	201	16	,	,	PUNCT
cana-5234	201	17	)	)	PUNCT
cana-5234	201	18	,	,	PUNCT
cana-5234	201	19	,	,	PUNCT
cana-5234	202	1	k	k	PROPN
cana-5234	202	2	k	k	PROPN
cana-5234	203	1	k	k	PROPN
cana-5234	203	2	l	l	PUNCT
cana-5234	204	1	k	k	X
cana-5234	204	2	l	l	PUNCT
cana-5234	205	1	k	k	PROPN
cana-5234	205	2	k	k	PROPN
cana-5234	205	3	l	l	PROPN
cana-5234	205	4	ows	ows	PROPN
cana-5234	205	5	b	b	X
cana-5234	205	6	a	a	DET
cana-5234	205	7	p	p	X
cana-5234	205	8	p	p	X
cana-5234	205	9	p	p	PROPN
cana-5234	205	10	k	k	PROPN
cana-5234	205	11	l	l	NOUN
cana-5234	205	12	m	m	NUM
cana-5234	205	13			PROPN
cana-5234	205	14			PROPN
cana-5234	205	15	=	=	PUNCT
cana-5234	206	1	+	+	NUM
cana-5234	206	2			NOUN
cana-5234	206	3			X
cana-5234	206	4	communications	communication	NOUN
cana-5234	206	5	on	on	ADP
cana-5234	206	6	applied	apply	VERB
cana-5234	206	7	nonlinear	nonlinear	ADJ
cana-5234	206	8	analysis	analysis	NOUN
cana-5234	206	9	issn	issn	NOUN
cana-5234	206	10	:	:	PUNCT
cana-5234	206	11	1074	1074	NUM
cana-5234	206	12	-	-	PUNCT
cana-5234	206	13	133x	133x	NUM
cana-5234	206	14	vol	vol	VERB
cana-5234	206	15	32	32	NUM
cana-5234	206	16	no	no	NOUN
cana-5234	206	17	.	.	PUNCT
cana-5234	207	1	10s	10	NOUN
cana-5234	207	2	(	(	PUNCT
cana-5234	207	3	2025	2025	NUM
cana-5234	207	4	)	)	PUNCT
cana-5234	207	5	1316	1316	NUM
cana-5234	207	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5234	207	7	let	let	VERB
cana-5234	207	8	b	b	PRON
cana-5234	207	9	stand	stand	VERB
cana-5234	207	10	for	for	ADP
cana-5234	207	11	the	the	DET
cana-5234	207	12	sample	sample	NOUN
cana-5234	207	13	binary	binary	NOUN
cana-5234	207	14	map	map	NOUN
cana-5234	207	15	,	,	PUNCT
cana-5234	207	16	here	here	ADV
cana-5234	207	17	we	we	PRON
cana-5234	207	18	have	have	VERB
cana-5234	207	19	the	the	DET
cana-5234	207	20	i	i	NOUN
cana-5234	207	21	/	/	SYM
cana-5234	207	22	p	p	PROPN
cana-5234	207	23	picture	picture	NOUN
cana-5234	208	1	a	a	PRON
cana-5234	208	2	,	,	PUNCT
cana-5234	208	3	the	the	DET
cana-5234	208	4	full	full	ADJ
cana-5234	208	5	set	set	NOUN
cana-5234	208	6	of	of	ADP
cana-5234	208	7	image	image	NOUN
cana-5234	208	8	pixels	pixel	NOUN
cana-5234	208	9	m	m	PRON
cana-5234	208	10	,	,	PUNCT
cana-5234	208	11	a	a	DET
cana-5234	208	12	domain	domain	NOUN
cana-5234	208	13	that	that	PRON
cana-5234	208	14	ranges	range	VERB
cana-5234	208	15	from	from	ADP
cana-5234	208	16	0	0	NUM
cana-5234	208	17	to	to	ADP
cana-5234	208	18	1	1	NUM
cana-5234	208	19	,	,	PUNCT
cana-5234	208	20	the	the	DET
cana-5234	208	21	cost	cost	NOUN
cana-5234	208	22	binary	binary	NOUN
cana-5234	208	23	map	map	NOUN
cana-5234	208	24	function	function	NOUN
cana-5234	208	25	assigned	assign	VERB
cana-5234	208	26	to	to	ADP
cana-5234	208	27	each	each	DET
cana-5234	208	28	pixel	pixel	PROPN
cana-5234	208	29	k	k	PROPN
cana-5234	208	30	,	,	PUNCT
cana-5234	208	31	and	and	CCONJ
cana-5234	208	32	a	a	DET
cana-5234	208	33	smooth	smooth	ADJ
cana-5234	208	34	term	term	NOUN
cana-5234	208	35	that	that	PRON
cana-5234	208	36	characterises	characterise	VERB
cana-5234	208	37	the	the	DET
cana-5234	208	38	consistency	consistency	NOUN
cana-5234	208	39	of	of	ADP
cana-5234	208	40	pixels	pixel	NOUN
cana-5234	208	41	with	with	ADP
cana-5234	208	42	comparable	comparable	ADJ
cana-5234	208	43	features	feature	NOUN
cana-5234	208	44	;	;	PUNCT
cana-5234	208	45	this	this	DET
cana-5234	208	46	term	term	NOUN
cana-5234	208	47	should	should	AUX
cana-5234	208	48	be	be	AUX
cana-5234	208	49	assessed	assess	VERB
cana-5234	208	50	as	as	ADP
cana-5234	208	51	,	,	PUNCT
cana-5234	208	52	,	,	PUNCT
cana-5234	208	53	1	1	NUM
cana-5234	208	54	(	(	PUNCT
cana-5234	208	55	)	)	PUNCT
cana-5234	208	56	(	(	PUNCT
cana-5234	208	57	,	,	PUNCT
cana-5234	208	58	)	)	PUNCT
cana-5234	208	59	(	(	PUNCT
cana-5234	208	60	,	,	PUNCT
cana-5234	208	61	)	)	PUNCT
cana-5234	208	62	(	(	PUNCT
cana-5234	208	63	,	,	PUNCT
cana-5234	208	64	)	)	PUNCT
cana-5234	208	65	f	f	PROPN
cana-5234	209	1	k	k	PROPN
cana-5234	209	2	kf	kf	PROPN
cana-5234	210	1	b	b	PROPN
cana-5234	211	1	k	k	PROPN
cana-5234	211	2	k	k	PROPN
cana-5234	212	1	k	k	PROPN
cana-5234	213	1	k	k	PROPN
cana-5234	213	2	b	b	PROPN
cana-5234	214	1	k	k	PROPN
cana-5234	214	2	f	f	PROPN
cana-5234	214	3	b	b	PROPN
cana-5234	215	1	k	k	PROPN
cana-5234	215	2	k	k	PROPN
cana-5234	216	1	k	k	PROPN
cana-5234	216	2	l	l	PUNCT
cana-5234	217	1	k	k	X
cana-5234	217	2	l	l	PUNCT
cana-5234	218	1	k	k	X
cana-5234	218	2	l	l	PUNCT
cana-5234	219	1	k	k	X
cana-5234	219	2	l	l	PUNCT
cana-5234	220	1	p	p	X
cana-5234	221	1	p	p	X
cana-5234	221	2	p	p	PROPN
cana-5234	221	3	p	p	PROPN
cana-5234	221	4	p	p	X
cana-5234	221	5	p	p	NOUN
cana-5234	222	1	otherwise	otherwise	ADV
cana-5234	222	2	p	p	PROPN
cana-5234	222	3	p	p	X
cana-5234	223	1	p	p	PROPN
cana-5234	223	2	p	p	PROPN
cana-5234	224	1	p	p	X
cana-5234	224	2	p	p	X
cana-5234	225	1	i	i	PRON
cana-5234	225	2	f	f	PROPN
cana-5234	225	3	f	f	PROPN
cana-5234	225	4			PROPN
cana-5234	225	5			PROPN
cana-5234	225	6			NUM
cana-5234	225	7			ADP
cana-5234	225	8	−	−	X
cana-5234	226	1	=	=	NOUN
cana-5234	226	2			NUM
cana-5234	226	3	+	+	NOUN
cana-5234	226	4			NUM
cana-5234	226	5	=	=	SYM
cana-5234	226	6			NUM
cana-5234	226	7			NUM
cana-5234	226	8	−	−	NOUN
cana-5234	226	9			NUM
cana-5234	226	10	+	+	NOUN
cana-5234	226	11			NOUN
cana-5234	226	12	=	=	NOUN
cana-5234	226	13	these	these	PRON
cana-5234	226	14	represent	represent	VERB
cana-5234	226	15	f	f	PROPN
cana-5234	226	16	kp	kp	PROPN
cana-5234	226	17	each	each	DET
cana-5234	226	18	pixel	pixel	PROPN
cana-5234	226	19	's	's	PART
cana-5234	226	20	foreground	foreground	NOUN
cana-5234	226	21	and	and	CCONJ
cana-5234	226	22	background	background	NOUN
cana-5234	226	23	regions	region	NOUN
cana-5234	226	24	i	i	PRON
cana-5234	226	25	,	,	PUNCT
cana-5234	226	26	k	k	PROPN
cana-5234	226	27	parallel	parallel	PROPN
cana-5234	226	28	.	.	PUNCT
cana-5234	227	1	i	i	PRON
cana-5234	227	2	am	be	AUX
cana-5234	227	3	the	the	DET
cana-5234	227	4	kernel	kernel	NOUN
cana-5234	227	5	,	,	PUNCT
cana-5234	227	6	and	and	CCONJ
cana-5234	227	7	the	the	DET
cana-5234	227	8	vector	vector	NOUN
cana-5234	227	9	of	of	ADP
cana-5234	227	10	various	various	ADJ
cana-5234	227	11	features	feature	NOUN
cana-5234	227	12	,	,	PUNCT
cana-5234	227	13	kf	kf	PROPN
cana-5234	227	14	f	f	PROPN
cana-5234	227	15	is	be	AUX
cana-5234	227	16	made	make	VERB
cana-5234	227	17	up	up	ADP
cana-5234	227	18	of	of	ADP
cana-5234	227	19	probable	probable	ADJ
cana-5234	227	20	functions	function	NOUN
cana-5234	227	21	.	.	PUNCT
cana-5234	228	1	next	next	ADV
cana-5234	228	2	,	,	PUNCT
cana-5234	228	3	the	the	DET
cana-5234	228	4	best	good	ADJ
cana-5234	228	5	segmentation	segmentation	NOUN
cana-5234	228	6	of	of	ADP
cana-5234	228	7	the	the	DET
cana-5234	228	8	covid-19	covid-19	PROPN
cana-5234	228	9	body	body	NOUN
cana-5234	228	10	extraction	extraction	NOUN
cana-5234	228	11	is	be	AUX
cana-5234	228	12	explained	explain	VERB
cana-5234	228	13	as	as	SCONJ
cana-5234	228	14	follows	follow	VERB
cana-5234	228	15	:	:	PUNCT
cana-5234	228	16	1	1	NUM
cana-5234	228	17	(	(	PUNCT
cana-5234	228	18	)	)	PUNCT
cana-5234	229	1	|	|	ADV
cana-5234	229	2	|	|	ADV
cana-5234	229	3	.max	.max	PUNCT
cana-5234	229	4	(	(	PUNCT
cana-5234	229	5	,	,	PUNCT
cana-5234	229	6	)	)	PUNCT
cana-5234	229	7	f	f	PROPN
cana-5234	230	1	k	k	PROPN
cana-5234	231	1	f	f	PROPN
cana-5234	231	2	b	b	PROPN
cana-5234	232	1	k	k	PROPN
cana-5234	232	2	k	k	PROPN
cana-5234	232	3	r	r	NOUN
cana-5234	232	4	p	p	NOUN
cana-5234	232	5	o	o	X
cana-5234	232	6	s	s	NOUN
cana-5234	232	7	r	r	NOUN
cana-5234	232	8	p	p	NOUN
cana-5234	232	9	p	p	NOUN
cana-5234	232	10	m	m	NOUN
cana-5234	232	11			PROPN
cana-5234	232	12			NOUN
cana-5234	232	13	=	=	PUNCT
cana-5234	232	14	optimal	optimal	ADJ
cana-5234	232	15	multi	multi	ADJ
cana-5234	232	16	-	-	ADJ
cana-5234	232	17	scale	scale	ADJ
cana-5234	232	18	feature	feature	NOUN
cana-5234	232	19	-	-	PUNCT
cana-5234	232	20	based	base	VERB
cana-5234	232	21	covid-19	covid-19	PROPN
cana-5234	232	22	body	body	NOUN
cana-5234	232	23	segmentation	segmentation	NOUN
cana-5234	232	24	from	from	ADP
cana-5234	232	25	covid-19	covid-19	PROPN
cana-5234	232	26	covid	covid	PROPN
cana-5234	232	27	-	-	PUNCT
cana-5234	232	28	related	relate	VERB
cana-5234	232	29	medical	medical	ADJ
cana-5234	232	30	images	image	NOUN
cana-5234	232	31	is	be	AUX
cana-5234	232	32	accomplished	accomplish	VERB
cana-5234	232	33	in	in	ADP
cana-5234	232	34	this	this	DET
cana-5234	232	35	manner	manner	NOUN
cana-5234	232	36	..	..	PUNCT
cana-5234	232	37	2.2.4	2.2.4	NUM
cana-5234	232	38	.	.	PUNCT
cana-5234	232	39	assessment	assessment	NOUN
cana-5234	232	40	of	of	ADP
cana-5234	232	41	quantitative	quantitative	ADJ
cana-5234	232	42	measures	measure	NOUN
cana-5234	232	43	segmenting	segment	VERB
cana-5234	232	44	images	image	NOUN
cana-5234	232	45	using	use	VERB
cana-5234	232	46	f	f	NOUN
cana-5234	232	47	-	-	PUNCT
cana-5234	232	48	measure	measure	NOUN
cana-5234	232	49	,	,	PUNCT
cana-5234	232	50	which	which	PRON
cana-5234	232	51	uses	use	VERB
cana-5234	232	52	characteristics	characteristic	NOUN
cana-5234	232	53	taken	take	VERB
cana-5234	232	54	from	from	ADP
cana-5234	232	55	medical	medical	ADJ
cana-5234	232	56	covid	covid	PROPN
cana-5234	232	57	photographs	photograph	NOUN
cana-5234	232	58	,	,	PUNCT
cana-5234	232	59	provides	provide	VERB
cana-5234	232	60	true	true	ADJ
cana-5234	232	61	-	-	PUNCT
cana-5234	232	62	positive	positive	ADJ
cana-5234	232	63	(	(	PUNCT
cana-5234	232	64	tp	tp	NOUN
cana-5234	232	65	)	)	PUNCT
cana-5234	232	66	,	,	PUNCT
cana-5234	232	67	true	true	ADJ
cana-5234	232	68	-	-	PUNCT
cana-5234	232	69	negative	negative	ADJ
cana-5234	232	70	(	(	PUNCT
cana-5234	232	71	tn	tn	NOUN
cana-5234	232	72	)	)	PUNCT
cana-5234	232	73	,	,	PUNCT
cana-5234	232	74	false	false	ADJ
cana-5234	232	75	-	-	PUNCT
cana-5234	232	76	positive	positive	ADJ
cana-5234	232	77	(	(	PUNCT
cana-5234	232	78	fp	fp	NOUN
cana-5234	232	79	)	)	PUNCT
cana-5234	232	80	,	,	PUNCT
cana-5234	232	81	and	and	CCONJ
cana-5234	232	82	false	false	ADJ
cana-5234	232	83	-	-	PUNCT
cana-5234	232	84	negative	negative	ADJ
cana-5234	232	85	(	(	PUNCT
cana-5234	232	86	fn	fn	NOUN
cana-5234	232	87	)	)	PUNCT
cana-5234	232	88	values	value	NOUN
cana-5234	232	89	.	.	PUNCT
cana-5234	233	1	additional	additional	ADJ
cana-5234	233	2	measures	measure	NOUN
cana-5234	233	3	including	include	VERB
cana-5234	233	4	recall	recall	NOUN
cana-5234	233	5	,	,	PUNCT
cana-5234	233	6	precision	precision	NOUN
cana-5234	233	7	,	,	PUNCT
cana-5234	233	8	accuracy	accuracy	NOUN
cana-5234	233	9	of	of	ADP
cana-5234	233	10	pixels	pixel	NOUN
cana-5234	233	11	,	,	PUNCT
cana-5234	233	12	and	and	CCONJ
cana-5234	233	13	intersection	intersection	NOUN
cana-5234	233	14	over	over	ADP
cana-5234	233	15	union	union	NOUN
cana-5234	233	16	(	(	PUNCT
cana-5234	233	17	iou	iou	NOUN
cana-5234	233	18	)	)	PUNCT
cana-5234	233	19	are	be	AUX
cana-5234	233	20	used	use	VERB
cana-5234	233	21	in	in	ADP
cana-5234	233	22	this	this	DET
cana-5234	233	23	process	process	NOUN
cana-5234	233	24	.	.	PUNCT
cana-5234	234	1	here	here	ADV
cana-5234	234	2	are	be	AUX
cana-5234	234	3	the	the	DET
cana-5234	234	4	performance	performance	NOUN
cana-5234	234	5	metrics	metric	NOUN
cana-5234	234	6	of	of	ADP
cana-5234	234	7	the	the	DET
cana-5234	234	8	technique	technique	NOUN
cana-5234	234	9	that	that	PRON
cana-5234	234	10	was	be	AUX
cana-5234	234	11	suggested	suggest	VERB
cana-5234	234	12	:	:	PUNCT
cana-5234	234	13	the	the	DET
cana-5234	234	14	equations	equation	NOUN
cana-5234	234	15	for	for	ADP
cana-5234	234	16	p	p	X
cana-5234	234	17	,	,	PUNCT
cana-5234	234	18	r	r	NOUN
cana-5234	234	19	,	,	PUNCT
cana-5234	234	20	iou	iou	NOUN
cana-5234	234	21	,	,	PUNCT
cana-5234	234	22	ap	ap	PROPN
cana-5234	234	23	,	,	PUNCT
cana-5234	234	24	and	and	CCONJ
cana-5234	234	25	f	f	PROPN
cana-5234	234	26	are	be	AUX
cana-5234	234	27	as	as	SCONJ
cana-5234	234	28	follows	follow	VERB
cana-5234	234	29	:	:	PUNCT
cana-5234	234	30	p	p	X
cana-5234	234	31	=	=	PRON
cana-5234	234	32	tp	tp	X
cana-5234	234	33	%	%	INTJ
cana-5234	234	34	(	(	PUNCT
cana-5234	234	35	tp+fp+tn	tp+fp+tn	INTJ
cana-5234	234	36	)	)	PUNCT
cana-5234	234	37	f	f	X
cana-5234	234	38	,	,	PUNCT
cana-5234	234	39	r	r	X
cana-5234	234	40	=	=	NOUN
cana-5234	234	41	tp	tp	NUM
cana-5234	234	42	%	%	INTJ
cana-5234	234	43	(	(	PUNCT
cana-5234	234	44	tp+fn	tp+fn	NOUN
cana-5234	234	45	)	)	PUNCT
cana-5234	234	46	,	,	PUNCT
cana-5234	234	47	tp	tp	ADP
cana-5234	234	48	%	%	INTJ
cana-5234	234	49	(	(	PUNCT
cana-5234	234	50	tp+fn+fp	tp+fn+fp	ADJ
cana-5234	234	51	)	)	PUNCT
cana-5234	234	52	*	*	VERB
cana-5234	235	1	2	2	X
cana-5234	235	2	.	.	X
cana-5234	235	3	*	*	PUNCT
cana-5234	235	4	(	(	PUNCT
cana-5234	235	5	p*r	p*r	PROPN
cana-5234	235	6	)	)	PUNCT
cana-5234	235	7	%	%	NOUN
cana-5234	235	8	(	(	PUNCT
cana-5234	235	9	p+r	p+r	NUM
cana-5234	235	10	)	)	PUNCT
cana-5234	235	11	trials	trial	NOUN
cana-5234	235	12	are	be	AUX
cana-5234	235	13	described	describe	VERB
cana-5234	235	14	in	in	ADP
cana-5234	235	15	detail	detail	NOUN
cana-5234	235	16	based	base	VERB
cana-5234	235	17	on	on	ADP
cana-5234	235	18	these	these	DET
cana-5234	235	19	criteria	criterion	NOUN
cana-5234	235	20	in	in	ADP
cana-5234	235	21	the	the	DET
cana-5234	235	22	performance	performance	NOUN
cana-5234	235	23	findings	finding	NOUN
cana-5234	235	24	section	section	NOUN
cana-5234	235	25	.	.	PUNCT
cana-5234	236	1	3	3	X
cana-5234	236	2	.	.	X
cana-5234	236	3	experimental	experimental	ADJ
cana-5234	236	4	evaluation	evaluation	NOUN
cana-5234	236	5	3.1	3.1	NUM
cana-5234	236	6	.	.	PUNCT
cana-5234	236	7	to	to	PART
cana-5234	236	8	make	make	VERB
cana-5234	236	9	the	the	DET
cana-5234	236	10	best	good	ADJ
cana-5234	236	11	use	use	NOUN
cana-5234	236	12	of	of	ADP
cana-5234	236	13	the	the	DET
cana-5234	236	14	limited	limited	ADJ
cana-5234	236	15	cpu	cpu	NOUN
cana-5234	236	16	storage	storage	NOUN
cana-5234	236	17	process	process	NOUN
cana-5234	236	18	,	,	PUNCT
cana-5234	236	19	we	we	PRON
cana-5234	236	20	divide	divide	VERB
cana-5234	236	21	the	the	DET
cana-5234	236	22	original	original	ADJ
cana-5234	236	23	data	datum	NOUN
cana-5234	236	24	into	into	ADP
cana-5234	236	25	divided	divide	VERB
cana-5234	236	26	patch	patch	NOUN
cana-5234	236	27	images	image	NOUN
cana-5234	236	28	with	with	ADP
cana-5234	236	29	semantic	semantic	ADJ
cana-5234	236	30	dimensions	dimension	NOUN
cana-5234	236	31	and	and	CCONJ
cana-5234	236	32	256	256	NUM
cana-5234	236	33	*	*	SYM
cana-5234	236	34	256	256	NUM
cana-5234	236	35	pixel	pixel	NOUN
cana-5234	236	36	notations	notation	NOUN
cana-5234	236	37	.	.	PUNCT
cana-5234	237	1	we	we	PRON
cana-5234	237	2	then	then	ADV
cana-5234	237	3	apply	apply	VERB
cana-5234	237	4	our	our	PRON
cana-5234	237	5	recommended	recommend	VERB
cana-5234	237	6	method	method	NOUN
cana-5234	237	7	using	use	VERB
cana-5234	237	8	a	a	DET
cana-5234	237	9	sophisticated	sophisticated	ADJ
cana-5234	237	10	deep	deep	ADJ
cana-5234	237	11	learning	learning	NOUN
cana-5234	237	12	framework	framework	NOUN
cana-5234	237	13	with	with	ADP
cana-5234	237	14	python	python	PROPN
cana-5234	237	15	programming	programming	NOUN
cana-5234	237	16	.	.	PUNCT
cana-5234	238	1	to	to	PART
cana-5234	238	2	evaluate	evaluate	VERB
cana-5234	238	3	our	our	PRON
cana-5234	238	4	proposed	propose	VERB
cana-5234	238	5	approach	approach	NOUN
cana-5234	238	6	against	against	ADP
cana-5234	238	7	generalized	generalized	ADJ
cana-5234	238	8	learning	learning	NOUN
cana-5234	238	9	capacities	capacity	NOUN
cana-5234	238	10	3.2	3.2	NUM
cana-5234	238	11	.	.	PUNCT
cana-5234	239	1	chapter	chapter	NOUN
cana-5234	239	2	four	four	NUM
cana-5234	239	3	:	:	PUNCT
cana-5234	239	4	the	the	DET
cana-5234	239	5	image	image	NOUN
cana-5234	239	6	bank	bank	NOUN
cana-5234	239	7	in	in	ADP
cana-5234	239	8	order	order	NOUN
cana-5234	239	9	to	to	PART
cana-5234	239	10	test	test	VERB
cana-5234	239	11	how	how	SCONJ
cana-5234	239	12	well	well	ADV
cana-5234	239	13	the	the	DET
cana-5234	239	14	suggested	suggest	VERB
cana-5234	239	15	strategy	strategy	NOUN
cana-5234	239	16	works	work	VERB
cana-5234	239	17	with	with	ADP
cana-5234	239	18	data	datum	NOUN
cana-5234	239	19	collected	collect	VERB
cana-5234	239	20	from	from	ADP
cana-5234	239	21	the	the	DET
cana-5234	239	22	arial	arial	PROPN
cana-5234	239	23	and	and	CCONJ
cana-5234	239	24	geofan	geofan	PROPN
cana-5234	239	25	bioinformatics	bioinformatics	PROPN
cana-5234	239	26	covid	covid	NOUN
cana-5234	239	27	image	image	NOUN
cana-5234	239	28	repositories	repository	NOUN
cana-5234	239	29	,	,	PUNCT
cana-5234	239	30	we	we	PRON
cana-5234	239	31	conducted	conduct	VERB
cana-5234	239	32	experiments	experiment	NOUN
cana-5234	239	33	.	.	PUNCT
cana-5234	240	1	from	from	ADP
cana-5234	240	2	2018	2018	NUM
cana-5234	240	3	to	to	ADP
cana-5234	240	4	2021	2021	NUM
cana-5234	240	5	,	,	PUNCT
cana-5234	240	6	all	all	PRON
cana-5234	240	7	of	of	ADP
cana-5234	240	8	the	the	DET
cana-5234	240	9	regional	regional	ADJ
cana-5234	240	10	photos	photo	NOUN
cana-5234	240	11	were	be	AUX
cana-5234	240	12	taken	take	VERB
cana-5234	240	13	in	in	ADP
cana-5234	240	14	several	several	ADJ
cana-5234	240	15	countries	country	NOUN
cana-5234	240	16	,	,	PUNCT
cana-5234	240	17	including	include	VERB
cana-5234	240	18	china	china	PROPN
cana-5234	240	19	,	,	PUNCT
cana-5234	240	20	india	india	PROPN
cana-5234	240	21	,	,	PUNCT
cana-5234	240	22	and	and	CCONJ
cana-5234	240	23	province	province	NOUN
cana-5234	240	24	.	.	PUNCT
cana-5234	241	1	there	there	PRON
cana-5234	241	2	are	be	VERB
cana-5234	241	3	around	around	ADP
cana-5234	241	4	1500–2000	1500–2000	NUM
cana-5234	241	5	training	training	NOUN
cana-5234	241	6	and	and	CCONJ
cana-5234	241	7	testing	testing	NOUN
cana-5234	241	8	photos	photo	NOUN
cana-5234	241	9	in	in	ADP
cana-5234	241	10	the	the	DET
cana-5234	241	11	data	data	NOUN
cana-5234	241	12	image	image	NOUN
cana-5234	241	13	repository	repository	NOUN
cana-5234	241	14	,	,	PUNCT
cana-5234	241	15	with	with	ADP
cana-5234	241	16	a	a	DET
cana-5234	241	17	4950	4950	NUM
cana-5234	241	18	*	*	SYM
cana-5234	241	19	4950	4950	NUM
cana-5234	241	20	-	-	PUNCT
cana-5234	241	21	pixel	pixel	NOUN
cana-5234	241	22	rectangle	rectangle	NOUN
cana-5234	241	23	for	for	ADP
cana-5234	241	24	each	each	DET
cana-5234	241	25	image	image	NOUN
cana-5234	241	26	.	.	PUNCT
cana-5234	242	1	in	in	ADP
cana-5234	242	2	contrast	contrast	NOUN
cana-5234	242	3	to	to	ADP
cana-5234	242	4	the	the	DET
cana-5234	242	5	aerial	aerial	ADJ
cana-5234	242	6	photographs	photograph	NOUN
cana-5234	242	7	shown	show	VERB
cana-5234	242	8	in	in	ADP
cana-5234	242	9	figure	figure	NOUN
cana-5234	242	10	1	1	NUM
cana-5234	242	11	,	,	PUNCT
cana-5234	242	12	all	all	PRON
cana-5234	242	13	of	of	ADP
cana-5234	242	14	the	the	DET
cana-5234	242	15	images	image	NOUN
cana-5234	242	16	in	in	ADP
cana-5234	242	17	the	the	DET
cana-5234	242	18	online	online	ADJ
cana-5234	242	19	medical	medical	ADJ
cana-5234	242	20	covid-19	covid-19	PROPN
cana-5234	242	21	images	image	NOUN
cana-5234	242	22	archive	archive	NOUN
cana-5234	242	23	were	be	AUX
cana-5234	242	24	acquired	acquire	VERB
cana-5234	242	25	utilizing	utilize	VERB
cana-5234	242	26	sensors	sensor	NOUN
cana-5234	242	27	.	.	PUNCT
cana-5234	243	1	communications	communication	NOUN
cana-5234	243	2	on	on	ADP
cana-5234	243	3	applied	apply	VERB
cana-5234	243	4	nonlinear	nonlinear	ADJ
cana-5234	243	5	analysis	analysis	NOUN
cana-5234	243	6	issn	issn	NOUN
cana-5234	243	7	:	:	PUNCT
cana-5234	243	8	1074	1074	NUM
cana-5234	243	9	-	-	PUNCT
cana-5234	243	10	133x	133x	NUM
cana-5234	243	11	vol	vol	VERB
cana-5234	243	12	32	32	NUM
cana-5234	243	13	no	no	NOUN
cana-5234	243	14	.	.	PUNCT
cana-5234	244	1	10s	10	NOUN
cana-5234	244	2	(	(	PUNCT
cana-5234	244	3	2025	2025	NUM
cana-5234	244	4	)	)	PUNCT
cana-5234	244	5	1317	1317	NUM
cana-5234	244	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5234	244	7	3.3	3.3	NUM
cana-5234	244	8	.	.	PUNCT
cana-5234	245	1	results	result	NOUN
cana-5234	245	2	of	of	ADP
cana-5234	245	3	covid	covid	PROPN
cana-5234	245	4	body	body	NOUN
cana-5234	245	5	segmentation	segmentation	NOUN
cana-5234	245	6	by	by	ADP
cana-5234	245	7	studying	study	VERB
cana-5234	245	8	visual	visual	ADJ
cana-5234	245	9	metric	metric	ADJ
cana-5234	245	10	qualities	quality	NOUN
cana-5234	245	11	,	,	PUNCT
cana-5234	245	12	such	such	ADJ
cana-5234	245	13	as	as	ADP
cana-5234	245	14	accuracy	accuracy	NOUN
cana-5234	245	15	,	,	PUNCT
cana-5234	245	16	recovered	recover	VERB
cana-5234	245	17	from	from	ADP
cana-5234	245	18	real	real	ADJ
cana-5234	245	19	-	-	PUNCT
cana-5234	245	20	time	time	NOUN
cana-5234	245	21	bioinformatics	bioinformatics	NOUN
cana-5234	245	22	covid	covid	NOUN
cana-5234	245	23	images	image	NOUN
cana-5234	245	24	,	,	PUNCT
cana-5234	245	25	we	we	PRON
cana-5234	245	26	compare	compare	VERB
cana-5234	245	27	our	our	PRON
cana-5234	245	28	proposed	propose	VERB
cana-5234	245	29	strategy	strategy	NOUN
cana-5234	245	30	with	with	ADP
cana-5234	245	31	numerous	numerous	ADJ
cana-5234	245	32	state	state	NOUN
cana-5234	245	33	-	-	PUNCT
cana-5234	245	34	of	of	ADP
cana-5234	245	35	-	-	PUNCT
cana-5234	245	36	the	the	DET
cana-5234	245	37	-	-	PUNCT
cana-5234	245	38	art	art	NOUN
cana-5234	245	39	methods	method	NOUN
cana-5234	245	40	,	,	PUNCT
cana-5234	245	41	including	include	VERB
cana-5234	245	42	fully	fully	ADV
cana-5234	245	43	convolutional	convolutional	ADJ
cana-5234	245	44	neural	neural	ADJ
cana-5234	245	45	networks	network	NOUN
cana-5234	245	46	(	(	PUNCT
cana-5234	245	47	fccnns	fccnns	ADJ
cana-5234	245	48	)	)	PUNCT
cana-5234	245	49	and	and	CCONJ
cana-5234	245	50	convolutional	convolutional	ADJ
cana-5234	245	51	neural	neural	ADJ
cana-5234	245	52	networks	network	NOUN
cana-5234	245	53	(	(	PUNCT
cana-5234	245	54	cnns	cnns	PROPN
cana-5234	245	55	)	)	PUNCT
cana-5234	245	56	.	.	PUNCT
cana-5234	246	1	as	as	SCONJ
cana-5234	246	2	shown	show	VERB
cana-5234	246	3	in	in	ADP
cana-5234	246	4	table	table	NOUN
cana-5234	246	5	1	1	NUM
cana-5234	246	6	,	,	PUNCT
cana-5234	246	7	a	a	DET
cana-5234	246	8	number	number	NOUN
cana-5234	246	9	of	of	ADP
cana-5234	246	10	picture	picture	NOUN
cana-5234	246	11	datasets	dataset	NOUN
cana-5234	246	12	were	be	AUX
cana-5234	246	13	used	use	VERB
cana-5234	246	14	to	to	PART
cana-5234	246	15	assess	assess	VERB
cana-5234	246	16	the	the	DET
cana-5234	246	17	medical	medical	ADJ
cana-5234	246	18	covid-19	covid-19	PROPN
cana-5234	246	19	images	image	NOUN
cana-5234	246	20	for	for	ADP
cana-5234	246	21	segmentation	segmentation	NOUN
cana-5234	246	22	.	.	PUNCT
cana-5234	247	1	varieties	variety	NOUN
cana-5234	247	2	of	of	ADP
cana-5234	247	3	precision	precision	NOUN
cana-5234	247	4	values	value	NOUN
cana-5234	247	5	(	(	PUNCT
cana-5234	247	6	table	table	NOUN
cana-5234	247	7	1	1	NUM
cana-5234	247	8	)	)	PUNCT
cana-5234	247	9	precision	precision	NOUN
cana-5234	247	10	datasets	dataset	NOUN
cana-5234	247	11	cnn	cnn	PROPN
cana-5234	247	12	mecnet	mecnet	PROPN
cana-5234	247	13	fccnn	fccnn	PROPN
cana-5234	247	14	proposed	propose	VERB
cana-5234	247	15	approach	approach	NOUN
cana-5234	247	16	1	1	NUM
cana-5234	247	17	0.45	0.45	NUM
cana-5234	247	18	0.82	0.82	NUM
cana-5234	247	19	0.35	0.35	NUM
cana-5234	247	20	0.96	0.96	NUM
cana-5234	247	21	2	2	NUM
cana-5234	247	22	0.39	0.39	NUM
cana-5234	247	23	0.92	0.92	NUM
cana-5234	247	24	0.51	0.51	NUM
cana-5234	247	25	0.94	0.94	NUM
cana-5234	247	26	3	3	NUM
cana-5234	247	27	0.56	0.56	NUM
cana-5234	247	28	0.81	0.81	NUM
cana-5234	247	29	0.68	0.68	NUM
cana-5234	247	30	0.93	0.93	NUM
cana-5234	247	31	4	4	NUM
cana-5234	247	32	0.59	0.59	NUM
cana-5234	247	33	0.79	0.79	NUM
cana-5234	247	34	0.75	0.75	NUM
cana-5234	247	35	0.89	0.89	NUM
cana-5234	247	36	5	5	NUM
cana-5234	247	37	0.68	0.68	NUM
cana-5234	247	38	0.85	0.85	NUM
cana-5234	247	39	0.67	0.67	NUM
cana-5234	247	40	0.97	0.97	NUM
cana-5234	247	41	after	after	ADP
cana-5234	247	42	comparing	compare	VERB
cana-5234	247	43	several	several	ADJ
cana-5234	247	44	methods	method	NOUN
cana-5234	247	45	using	use	VERB
cana-5234	247	46	gf-1	gf-1	ADV
cana-5234	247	47	and	and	CCONJ
cana-5234	247	48	gf-2	gf-2	PRON
cana-5234	247	49	medical	medical	PROPN
cana-5234	247	50	covid	covid	PROPN
cana-5234	247	51	pictures	pictures	PROPN
cana-5234	247	52	,	,	PUNCT
cana-5234	247	53	the	the	DET
cana-5234	247	54	findings	finding	NOUN
cana-5234	247	55	are	be	AUX
cana-5234	247	56	shown	show	VERB
cana-5234	247	57	in	in	ADP
cana-5234	247	58	table	table	NOUN
cana-5234	247	59	1	1	NUM
cana-5234	247	60	.	.	PUNCT
cana-5234	248	1	additionally	additionally	ADV
cana-5234	248	2	,	,	PUNCT
cana-5234	248	3	the	the	DET
cana-5234	248	4	proposed	propose	VERB
cana-5234	248	5	methodology	methodology	NOUN
cana-5234	248	6	's	's	PART
cana-5234	248	7	accuracy	accuracy	NOUN
cana-5234	248	8	performance	performance	NOUN
cana-5234	248	9	is	be	AUX
cana-5234	248	10	contrasted	contrast	VERB
cana-5234	248	11	with	with	ADP
cana-5234	248	12	that	that	PRON
cana-5234	248	13	of	of	ADP
cana-5234	248	14	the	the	DET
cana-5234	248	15	conventional	conventional	ADJ
cana-5234	248	16	approaches	approach	NOUN
cana-5234	248	17	.	.	PUNCT
cana-5234	249	1	in	in	ADP
cana-5234	249	2	contrast	contrast	NOUN
cana-5234	249	3	to	to	ADP
cana-5234	249	4	competing	compete	VERB
cana-5234	249	5	approaches	approach	NOUN
cana-5234	249	6	,	,	PUNCT
cana-5234	249	7	the	the	DET
cana-5234	249	8	proposed	propose	VERB
cana-5234	249	9	method	method	NOUN
cana-5234	249	10	obtains	obtain	VERB
cana-5234	249	11	a	a	DET
cana-5234	249	12	precision	precision	NOUN
cana-5234	249	13	of	of	ADP
cana-5234	249	14	92%-95	92%-95	NUM
cana-5234	249	15	%	%	NOUN
cana-5234	249	16	with	with	ADP
cana-5234	249	17	an	an	DET
cana-5234	249	18	increase	increase	NOUN
cana-5234	249	19	in	in	ADP
cana-5234	249	20	the	the	DET
cana-5234	249	21	number	number	NOUN
cana-5234	249	22	of	of	ADP
cana-5234	249	23	image	image	NOUN
cana-5234	249	24	classes	class	NOUN
cana-5234	249	25	,	,	PUNCT
cana-5234	249	26	meaning	mean	VERB
cana-5234	249	27	that	that	SCONJ
cana-5234	249	28	the	the	DET
cana-5234	249	29	layout	layout	NOUN
cana-5234	249	30	is	be	AUX
cana-5234	249	31	an	an	DET
cana-5234	249	32	exact	exact	ADJ
cana-5234	249	33	match	match	NOUN
cana-5234	249	34	for	for	ADP
cana-5234	249	35	the	the	DET
cana-5234	249	36	covid	covid	PROPN
cana-5234	249	37	in	in	ADP
cana-5234	249	38	medical	medical	ADJ
cana-5234	249	39	covid19	covid19	NOUN
cana-5234	249	40	pictures	picture	NOUN
cana-5234	249	41	.	.	PUNCT
cana-5234	250	1	you	you	PRON
cana-5234	250	2	may	may	AUX
cana-5234	250	3	find	find	VERB
cana-5234	250	4	the	the	DET
cana-5234	250	5	recall	recall	NOUN
cana-5234	250	6	values	value	NOUN
cana-5234	250	7	in	in	ADP
cana-5234	250	8	table	table	NOUN
cana-5234	250	9	2	2	NUM
cana-5234	250	10	.	.	PUNCT
cana-5234	251	1	the	the	DET
cana-5234	251	2	suggested	suggest	VERB
cana-5234	251	3	method	method	NOUN
cana-5234	251	4	's	's	PART
cana-5234	251	5	recall	recall	NOUN
cana-5234	251	6	performance	performance	NOUN
cana-5234	251	7	was	be	AUX
cana-5234	251	8	compared	compare	VERB
cana-5234	251	9	to	to	ADP
cana-5234	251	10	that	that	PRON
cana-5234	251	11	of	of	ADP
cana-5234	251	12	traditional	traditional	ADJ
cana-5234	251	13	approaches	approach	NOUN
cana-5234	251	14	on	on	ADP
cana-5234	251	15	various	various	ADJ
cana-5234	251	16	image	image	NOUN
cana-5234	251	17	datasets	dataset	NOUN
cana-5234	251	18	,	,	PUNCT
cana-5234	251	19	as	as	SCONJ
cana-5234	251	20	shown	show	VERB
cana-5234	251	21	in	in	ADP
cana-5234	251	22	table	table	NOUN
cana-5234	251	23	2	2	NUM
cana-5234	251	24	and	and	CCONJ
cana-5234	251	25	figure	figure	VERB
cana-5234	251	26	10	10	NUM
cana-5234	251	27	.	.	PUNCT
cana-5234	252	1	medical	medical	ADJ
cana-5234	252	2	covid-19	covid-19	PROPN
cana-5234	252	3	photos	photo	NOUN
cana-5234	252	4	on	on	ADP
cana-5234	252	5	average	average	ADJ
cana-5234	252	6	yield	yield	NOUN
cana-5234	252	7	98	98	NUM
cana-5234	252	8	%	%	NOUN
cana-5234	252	9	accuracy	accuracy	NOUN
cana-5234	252	10	when	when	SCONJ
cana-5234	252	11	using	use	VERB
cana-5234	252	12	the	the	DET
cana-5234	252	13	suggested	suggest	VERB
cana-5234	252	14	method	method	NOUN
cana-5234	252	15	to	to	PART
cana-5234	252	16	enhance	enhance	VERB
cana-5234	252	17	image	image	NOUN
cana-5234	252	18	class	class	NOUN
cana-5234	252	19	data	datum	NOUN
cana-5234	252	20	sets.in	sets.in	PART
cana-5234	252	21	contrast	contrast	NOUN
cana-5234	252	22	,	,	PUNCT
cana-5234	252	23	other	other	ADJ
cana-5234	252	24	approaches	approach	NOUN
cana-5234	252	25	produce	produce	VERB
cana-5234	252	26	inconsistent	inconsistent	ADJ
cana-5234	252	27	results	result	NOUN
cana-5234	252	28	when	when	SCONJ
cana-5234	252	29	it	it	PRON
cana-5234	252	30	comes	come	VERB
cana-5234	252	31	to	to	ADP
cana-5234	252	32	retrieving	retrieve	VERB
cana-5234	252	33	useful	useful	ADJ
cana-5234	252	34	information	information	NOUN
cana-5234	252	35	from	from	ADP
cana-5234	252	36	various	various	ADJ
cana-5234	252	37	medical	medical	ADJ
cana-5234	252	38	covid	covid	PROPN
cana-5234	252	39	images	image	NOUN
cana-5234	252	40	.	.	PUNCT
cana-5234	253	1	table	table	NOUN
cana-5234	253	2	3	3	NUM
cana-5234	253	3	shows	show	VERB
cana-5234	253	4	the	the	DET
cana-5234	253	5	values	value	NOUN
cana-5234	253	6	of	of	ADP
cana-5234	253	7	the	the	DET
cana-5234	253	8	f	f	NOUN
cana-5234	253	9	-	-	PUNCT
cana-5234	253	10	measure	measure	NOUN
cana-5234	253	11	associated	associate	VERB
cana-5234	253	12	with	with	ADP
cana-5234	253	13	medical	medical	ADJ
cana-5234	253	14	covid	covid	PROPN
cana-5234	253	15	picture	picture	NOUN
cana-5234	253	16	classifications	classification	NOUN
cana-5234	253	17	.	.	PUNCT
cana-5234	254	1	recall	recall	PROPN
cana-5234	254	2	datasets	dataset	NOUN
cana-5234	254	3	cnn	cnn	PROPN
cana-5234	254	4	mecnet	mecnet	PROPN
cana-5234	254	5	fccnn	fccnn	PROPN
cana-5234	254	6	proposed	propose	VERB
cana-5234	254	7	approach	approach	NOUN
cana-5234	254	8	1	1	NUM
cana-5234	254	9	0.52	0.52	NUM
cana-5234	254	10	0.81	0.81	NUM
cana-5234	254	11	0.51	0.51	NUM
cana-5234	254	12	0.96	0.96	NUM
cana-5234	254	13	2	2	NUM
cana-5234	254	14	0.46	0.46	NUM
cana-5234	254	15	0.86	0.86	NUM
cana-5234	254	16	0.46	0.46	NUM
cana-5234	254	17	0.97	0.97	NUM
cana-5234	254	18	3	3	NUM
cana-5234	254	19	0.61	0.61	NUM
cana-5234	254	20	0.86	0.86	NUM
cana-5234	254	21	0.56	0.56	NUM
cana-5234	254	22	0.98	0.98	NUM
cana-5234	254	23	4	4	NUM
cana-5234	254	24	0.65	0.65	NUM
cana-5234	254	25	0.74	0.74	NUM
cana-5234	254	26	0.54	0.54	NUM
cana-5234	254	27	0.92	0.92	NUM
cana-5234	254	28	5	5	NUM
cana-5234	254	29	0.59	0.59	NUM
cana-5234	254	30	0.96	0.96	NUM
cana-5234	254	31	0.46	0.46	NUM
cana-5234	254	32	0.99	0.99	NUM
cana-5234	254	33	communications	communication	NOUN
cana-5234	254	34	on	on	ADP
cana-5234	254	35	applied	apply	VERB
cana-5234	254	36	nonlinear	nonlinear	ADJ
cana-5234	254	37	analysis	analysis	NOUN
cana-5234	254	38	issn	issn	NOUN
cana-5234	254	39	:	:	PUNCT
cana-5234	254	40	1074	1074	NUM
cana-5234	254	41	-	-	PUNCT
cana-5234	254	42	133x	133x	NUM
cana-5234	254	43	vol	vol	VERB
cana-5234	254	44	32	32	NUM
cana-5234	254	45	no	no	NOUN
cana-5234	254	46	.	.	PUNCT
cana-5234	255	1	10s	10	NOUN
cana-5234	255	2	(	(	PUNCT
cana-5234	255	3	2025	2025	NUM
cana-5234	255	4	)	)	PUNCT
cana-5234	255	5	1318	1318	NUM
cana-5234	255	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5234	255	7	summary	summary	NOUN
cana-5234	255	8	of	of	ADP
cana-5234	255	9	the	the	DET
cana-5234	255	10	f	f	ADJ
cana-5234	255	11	-	-	PUNCT
cana-5234	255	12	measure	measure	NOUN
cana-5234	255	13	values	value	NOUN
cana-5234	255	14	from	from	ADP
cana-5234	255	15	table	table	NOUN
cana-5234	255	16	3	3	NUM
cana-5234	255	17	table	table	NOUN
cana-5234	255	18	3	3	NUM
cana-5234	255	19	,	,	PUNCT
cana-5234	255	20	examines	examine	VERB
cana-5234	255	21	the	the	DET
cana-5234	255	22	proposed	propose	VERB
cana-5234	255	23	approach	approach	NOUN
cana-5234	255	24	’s	’s	PART
cana-5234	255	25	performance	performance	NOUN
cana-5234	255	26	to	to	ADP
cana-5234	255	27	that	that	PRON
cana-5234	255	28	of	of	ADP
cana-5234	255	29	more	more	ADJ
cana-5234	255	30	conventional	conventional	ADJ
cana-5234	255	31	approaches	approach	NOUN
cana-5234	255	32	;	;	PUNCT
cana-5234	255	33	for	for	ADP
cana-5234	255	34	each	each	DET
cana-5234	255	35	given	give	VERB
cana-5234	255	36	number	number	NOUN
cana-5234	255	37	of	of	ADP
cana-5234	255	38	images	image	NOUN
cana-5234	255	39	,	,	PUNCT
cana-5234	255	40	nomfchnn	nomfchnn	PROPN
cana-5234	255	41	outperforms	outperform	VERB
cana-5234	255	42	cnn	cnn	PROPN
cana-5234	255	43	,	,	PUNCT
cana-5234	255	44	fccnn	fccnn	PROPN
cana-5234	255	45	,	,	PUNCT
cana-5234	255	46	and	and	CCONJ
cana-5234	255	47	mecnet	mecnet	NOUN
cana-5234	255	48	.	.	PUNCT
cana-5234	256	1	in	in	ADP
cana-5234	256	2	compared	compare	VERB
cana-5234	256	3	to	to	ADP
cana-5234	256	4	cutting	cut	VERB
cana-5234	256	5	-	-	PUNCT
cana-5234	256	6	edge	edge	NOUN
cana-5234	256	7	techniques	technique	NOUN
cana-5234	256	8	,	,	PUNCT
cana-5234	256	9	nomfchnn	nomfchnn	PROPN
cana-5234	256	10	attains	attain	VERB
cana-5234	256	11	high	high	ADJ
cana-5234	256	12	picture	picture	NOUN
cana-5234	256	13	processing	processing	NOUN
cana-5234	256	14	and	and	CCONJ
cana-5234	256	15	matching	matching	NOUN
cana-5234	256	16	rates	rate	NOUN
cana-5234	256	17	—	—	PUNCT
cana-5234	256	18	nearly	nearly	ADV
cana-5234	256	19	100	100	NUM
cana-5234	256	20	%	%	NOUN
cana-5234	256	21	.	.	PUNCT
cana-5234	257	1	any	any	DET
cana-5234	257	2	approach	approach	NOUN
cana-5234	257	3	,	,	PUNCT
cana-5234	257	4	including	include	VERB
cana-5234	257	5	the	the	DET
cana-5234	257	6	one	one	NOUN
cana-5234	257	7	proposed	propose	VERB
cana-5234	257	8	here	here	ADV
cana-5234	257	9	,	,	PUNCT
cana-5234	257	10	will	will	AUX
cana-5234	257	11	see	see	VERB
cana-5234	257	12	an	an	DET
cana-5234	257	13	increase	increase	NOUN
cana-5234	257	14	in	in	ADP
cana-5234	257	15	the	the	DET
cana-5234	257	16	f	f	NOUN
cana-5234	257	17	-	-	PUNCT
cana-5234	257	18	measure	measure	NOUN
cana-5234	257	19	as	as	ADP
cana-5234	257	20	a	a	DET
cana-5234	257	21	result	result	NOUN
cana-5234	257	22	of	of	ADP
cana-5234	257	23	better	well	ADJ
cana-5234	257	24	precision	precision	NOUN
cana-5234	257	25	and	and	CCONJ
cana-5234	257	26	recall	recall	NOUN
cana-5234	257	27	.	.	PUNCT
cana-5234	258	1	table	table	NOUN
cana-5234	258	2	4	4	NUM
cana-5234	258	3	displays	display	VERB
cana-5234	258	4	data	datum	NOUN
cana-5234	258	5	regarding	regard	VERB
cana-5234	258	6	the	the	DET
cana-5234	258	7	total	total	ADJ
cana-5234	258	8	execution	execution	NOUN
cana-5234	258	9	time	time	NOUN
cana-5234	258	10	and	and	CCONJ
cana-5234	258	11	the	the	DET
cana-5234	258	12	duration	duration	NOUN
cana-5234	258	13	of	of	ADP
cana-5234	258	14	covid-19	covid-19	PROPN
cana-5234	258	15	body	body	NOUN
cana-5234	258	16	segmentation	segmentation	NOUN
cana-5234	258	17	.	.	PUNCT
cana-5234	259	1	different	different	ADJ
cana-5234	259	2	values	value	NOUN
cana-5234	259	3	for	for	ADP
cana-5234	259	4	duration	duration	NOUN
cana-5234	259	5	are	be	AUX
cana-5234	259	6	shown	show	VERB
cana-5234	259	7	in	in	ADP
cana-5234	259	8	table	table	NOUN
cana-5234	259	9	4	4	NUM
cana-5234	259	10	.	.	PUNCT
cana-5234	260	1	the	the	DET
cana-5234	260	2	suggested	suggest	VERB
cana-5234	260	3	method	method	NOUN
cana-5234	260	4	uses	use	VERB
cana-5234	260	5	a	a	DET
cana-5234	260	6	fraction	fraction	NOUN
cana-5234	260	7	of	of	ADP
cana-5234	260	8	the	the	DET
cana-5234	260	9	time	time	NOUN
cana-5234	260	10	required	require	VERB
cana-5234	260	11	by	by	ADP
cana-5234	260	12	cnn	cnn	PROPN
cana-5234	260	13	and	and	CCONJ
cana-5234	260	14	fccnn	fccnn	PROPN
cana-5234	260	15	.	.	PUNCT
cana-5234	261	1	because	because	SCONJ
cana-5234	261	2	of	of	ADP
cana-5234	261	3	the	the	DET
cana-5234	261	4	iterations	iteration	NOUN
cana-5234	261	5	used	use	VERB
cana-5234	261	6	to	to	PART
cana-5234	261	7	assess	assess	VERB
cana-5234	261	8	the	the	DET
cana-5234	261	9	segmentation	segmentation	NOUN
cana-5234	261	10	of	of	ADP
cana-5234	261	11	the	the	DET
cana-5234	261	12	covid-19	covid-19	PROPN
cana-5234	261	13	body	body	NOUN
cana-5234	261	14	from	from	ADP
cana-5234	261	15	medical	medical	ADJ
cana-5234	261	16	covid	covid	PROPN
cana-5234	261	17	pictures	picture	NOUN
cana-5234	261	18	,	,	PUNCT
cana-5234	261	19	these	these	DET
cana-5234	261	20	methods	method	NOUN
cana-5234	261	21	are	be	AUX
cana-5234	261	22	quite	quite	ADV
cana-5234	261	23	timeconsuming	timeconsuming	ADJ
cana-5234	261	24	,	,	PUNCT
cana-5234	261	25	in	in	ADP
cana-5234	261	26	contrast	contrast	NOUN
cana-5234	261	27	to	to	ADP
cana-5234	261	28	mecnet	mecnet	NOUN
cana-5234	261	29	,	,	PUNCT
cana-5234	261	30	which	which	PRON
cana-5234	261	31	takes	take	VERB
cana-5234	261	32	about	about	ADP
cana-5234	261	33	the	the	DET
cana-5234	261	34	same	same	ADJ
cana-5234	261	35	amount	amount	NOUN
cana-5234	261	36	of	of	ADP
cana-5234	261	37	time	time	NOUN
cana-5234	261	38	to	to	PART
cana-5234	261	39	process	process	VERB
cana-5234	261	40	all	all	PRON
cana-5234	261	41	of	of	ADP
cana-5234	261	42	the	the	DET
cana-5234	261	43	photos	photo	NOUN
cana-5234	261	44	..	..	PUNCT
cana-5234	261	45	table	table	NOUN
cana-5234	261	46	5	5	NUM
cana-5234	261	47	different	different	ADJ
cana-5234	261	48	iou	iou	NOUN
cana-5234	261	49	values	value	NOUN
cana-5234	261	50	.	.	PUNCT
cana-5234	262	1	f	f	X
cana-5234	262	2	-	-	PUNCT
cana-5234	262	3	measure	measure	NOUN
cana-5234	262	4	datasets	dataset	NOUN
cana-5234	262	5	cnn	cnn	PROPN
cana-5234	262	6	mecnet	mecnet	PROPN
cana-5234	262	7	fccnn	fccnn	PROPN
cana-5234	262	8	proposed	propose	VERB
cana-5234	262	9	approach	approach	NOUN
cana-5234	262	10	1	1	NUM
cana-5234	263	1	0.72	0.72	NUM
cana-5234	263	2	0.91	0.91	NUM
cana-5234	263	3	0.84	0.84	NUM
cana-5234	263	4	0.96	0.96	NUM
cana-5234	263	5	2	2	NUM
cana-5234	263	6	0.64	0.64	NUM
cana-5234	263	7	0.96	0.96	NUM
cana-5234	263	8	0.76	0.76	NUM
cana-5234	263	9	0.97	0.97	NUM
cana-5234	263	10	3	3	NUM
cana-5234	263	11	0.81	0.81	NUM
cana-5234	263	12	0.89	0.89	NUM
cana-5234	263	13	0.79	0.79	NUM
cana-5234	263	14	0.97	0.97	NUM
cana-5234	263	15	4	4	NUM
cana-5234	263	16	0.86	0.86	NUM
cana-5234	263	17	0.95	0.95	NUM
cana-5234	263	18	0.81	0.81	NUM
cana-5234	263	19	0.98	0.98	NUM
cana-5234	263	20	5	5	NUM
cana-5234	263	21	0.79	0.79	NUM
cana-5234	263	22	0.91	0.91	NUM
cana-5234	263	23	0.78	0.78	NUM
cana-5234	263	24	0.99	0.99	NUM
cana-5234	263	25	time	time	NOUN
cana-5234	263	26	efficiency	efficiency	NOUN
cana-5234	263	27	datasets	dataset	NOUN
cana-5234	264	1	cnn	cnn	PROPN
cana-5234	264	2	mecnet	mecnet	PROPN
cana-5234	264	3	fccnn	fccnn	PROPN
cana-5234	264	4	proposed	propose	VERB
cana-5234	264	5	approach	approach	NOUN
cana-5234	264	6	1	1	NUM
cana-5234	264	7	9.2	9.2	NUM
cana-5234	264	8	5.1	5.1	NUM
cana-5234	264	9	7.2	7.2	NUM
cana-5234	264	10	5.1	5.1	NUM
cana-5234	264	11	2	2	NUM
cana-5234	264	12	8.6	8.6	NUM
cana-5234	264	13	5.6	5.6	NUM
cana-5234	264	14	6.2	6.2	NUM
cana-5234	264	15	4.6	4.6	NUM
cana-5234	264	16	3	3	NUM
cana-5234	264	17	9.1	9.1	NUM
cana-5234	264	18	6.4	6.4	NUM
cana-5234	264	19	6.8	6.8	NUM
cana-5234	264	20	5.6	5.6	NUM
cana-5234	264	21	4	4	NUM
cana-5234	264	22	7.5	7.5	NUM
cana-5234	264	23	7.4	7.4	NUM
cana-5234	264	24	5.4	5.4	NUM
cana-5234	264	25	5.4	5.4	NUM
cana-5234	264	26	5	5	NUM
cana-5234	264	27	9.6	9.6	NUM
cana-5234	264	28	6.5	6.5	NUM
cana-5234	264	29	6.7	6.7	NUM
cana-5234	264	30	4.6	4.6	NUM
cana-5234	264	31	iou	iou	NOUN
cana-5234	264	32	datasets	dataset	NOUN
cana-5234	264	33	cnn	cnn	PROPN
cana-5234	264	34	mecnet	mecnet	PROPN
cana-5234	264	35	fccnn	fccnn	PROPN
cana-5234	264	36	proposed	propose	VERB
cana-5234	264	37	approach	approach	NOUN
cana-5234	264	38	1	1	NUM
cana-5234	264	39	0.82	0.82	NUM
cana-5234	264	40	0.81	0.81	NUM
cana-5234	264	41	0.81	0.81	NUM
cana-5234	264	42	0.91	0.91	NUM
cana-5234	264	43	2	2	NUM
cana-5234	264	44	0.86	0.86	NUM
cana-5234	264	45	0.86	0.86	NUM
cana-5234	264	46	0.86	0.86	NUM
cana-5234	264	47	0.93	0.93	NUM
cana-5234	264	48	communications	communication	NOUN
cana-5234	264	49	on	on	ADP
cana-5234	264	50	applied	apply	VERB
cana-5234	264	51	nonlinear	nonlinear	ADJ
cana-5234	264	52	analysis	analysis	NOUN
cana-5234	264	53	issn	issn	NOUN
cana-5234	264	54	:	:	PUNCT
cana-5234	264	55	1074	1074	NUM
cana-5234	264	56	-	-	PUNCT
cana-5234	264	57	133x	133x	NUM
cana-5234	264	58	vol	vol	VERB
cana-5234	264	59	32	32	NUM
cana-5234	264	60	no	no	NOUN
cana-5234	264	61	.	.	PUNCT
cana-5234	265	1	10s	10	NOUN
cana-5234	265	2	(	(	PUNCT
cana-5234	265	3	2025	2025	NUM
cana-5234	265	4	)	)	PUNCT
cana-5234	265	5	1319	1319	NUM
cana-5234	265	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5234	266	1	the	the	DET
cana-5234	266	2	iou	iou	PROPN
cana-5234	266	3	values	value	NOUN
cana-5234	266	4	from	from	ADP
cana-5234	266	5	processing	process	VERB
cana-5234	266	6	several	several	ADJ
cana-5234	266	7	photos	photo	NOUN
cana-5234	266	8	with	with	ADP
cana-5234	266	9	entire	entire	ADJ
cana-5234	266	10	pixel	pixel	NOUN
cana-5234	266	11	extraction	extraction	NOUN
cana-5234	266	12	from	from	ADP
cana-5234	266	13	regions	region	NOUN
cana-5234	266	14	are	be	AUX
cana-5234	266	15	shown	show	VERB
cana-5234	266	16	in	in	ADP
cana-5234	266	17	table	table	NOUN
cana-5234	266	18	5.iou	5.iou	NOUN
cana-5234	266	19	depends	depend	VERB
cana-5234	266	20	on	on	ADP
cana-5234	266	21	memory	memory	NOUN
cana-5234	266	22	,	,	PUNCT
cana-5234	266	23	accuracy	accuracy	NOUN
cana-5234	266	24	,	,	PUNCT
cana-5234	266	25	and	and	CCONJ
cana-5234	266	26	effective	effective	ADJ
cana-5234	266	27	true	true	ADJ
cana-5234	266	28	positive	positive	ADJ
cana-5234	266	29	and	and	CCONJ
cana-5234	266	30	true	true	ADJ
cana-5234	266	31	negatives	negative	NOUN
cana-5234	266	32	when	when	SCONJ
cana-5234	266	33	choosing	choose	VERB
cana-5234	266	34	characteristics	characteristic	NOUN
cana-5234	266	35	for	for	ADP
cana-5234	266	36	medical	medical	ADJ
cana-5234	266	37	covid	covid	PROPN
cana-5234	266	38	images	image	NOUN
cana-5234	266	39	.	.	PUNCT
cana-5234	267	1	the	the	DET
cana-5234	267	2	suggested	suggest	VERB
cana-5234	267	3	approach	approach	NOUN
cana-5234	267	4	performs	perform	VERB
cana-5234	267	5	better	well	ADV
cana-5234	267	6	than	than	ADP
cana-5234	267	7	cnn	cnn	PROPN
cana-5234	267	8	,	,	PUNCT
cana-5234	267	9	fccnn	fccnn	PROPN
cana-5234	267	10	,	,	PUNCT
cana-5234	267	11	and	and	CCONJ
cana-5234	267	12	mecnnet	mecnnet	ADJ
cana-5234	267	13	methods	method	NOUN
cana-5234	267	14	in	in	ADP
cana-5234	267	15	terms	term	NOUN
cana-5234	267	16	of	of	ADP
cana-5234	267	17	output	output	NOUN
cana-5234	267	18	quality	quality	NOUN
cana-5234	267	19	table	table	NOUN
cana-5234	267	20	6	6	NUM
cana-5234	267	21	:	:	PUNCT
cana-5234	267	22	accuracy	accuracy	NOUN
cana-5234	267	23	values	value	NOUN
cana-5234	267	24	for	for	ADP
cana-5234	267	25	final	final	ADJ
cana-5234	267	26	segmentation	segmentation	NOUN
cana-5234	267	27	.	.	PUNCT
cana-5234	268	1	accuracy	accuracy	NOUN
cana-5234	268	2	image	image	NOUN
cana-5234	268	3	datasets	dataset	NOUN
cana-5234	268	4	cnn	cnn	PROPN
cana-5234	268	5	mecnet	mecnet	PROPN
cana-5234	268	6	fccnn	fccnn	PROPN
cana-5234	268	7	proposed	propose	VERB
cana-5234	268	8	approach	approach	NOUN
cana-5234	268	9	image	image	NOUN
cana-5234	268	10	1	1	NUM
cana-5234	268	11	71	71	NUM
cana-5234	268	12	68	68	NUM
cana-5234	268	13	69	69	NUM
cana-5234	268	14	84	84	NUM
cana-5234	268	15	image	image	NOUN
cana-5234	268	16	2	2	NUM
cana-5234	268	17	61	61	NUM
cana-5234	268	18	81	81	NUM
cana-5234	268	19	62	62	NUM
cana-5234	268	20	96	96	NUM
cana-5234	268	21	image	image	NOUN
cana-5234	268	22	3	3	NUM
cana-5234	268	23	76	76	NUM
cana-5234	268	24	76	76	NUM
cana-5234	268	25	75	75	NUM
cana-5234	268	26	92	92	NUM
cana-5234	268	27	image	image	NOUN
cana-5234	268	28	4	4	NUM
cana-5234	268	29	60	60	NUM
cana-5234	268	30	84	84	NUM
cana-5234	268	31	63	63	NUM
cana-5234	268	32	89	89	NUM
cana-5234	268	33	image	image	NOUN
cana-5234	268	34	5	5	NUM
cana-5234	268	35	67	67	NUM
cana-5234	268	36	88	88	NUM
cana-5234	268	37	71	71	NUM
cana-5234	268	38	93	93	NUM
cana-5234	268	39	table	table	NOUN
cana-5234	268	40	6	6	NUM
cana-5234	268	41	displays	display	VERB
cana-5234	268	42	the	the	DET
cana-5234	268	43	values	value	NOUN
cana-5234	268	44	associated	associate	VERB
cana-5234	268	45	with	with	ADP
cana-5234	268	46	the	the	DET
cana-5234	268	47	overall	overall	ADJ
cana-5234	268	48	accuracy	accuracy	NOUN
cana-5234	268	49	of	of	ADP
cana-5234	268	50	covid	covid	PROPN
cana-5234	268	51	body	body	NOUN
cana-5234	268	52	segmentation	segmentation	NOUN
cana-5234	268	53	from	from	ADP
cana-5234	268	54	covid-19	covid-19	PROPN
cana-5234	268	55	photos	photo	NOUN
cana-5234	268	56	.	.	PUNCT
cana-5234	269	1	it	it	PRON
cana-5234	269	2	explains	explain	VERB
cana-5234	269	3	the	the	DET
cana-5234	269	4	effective	effective	ADJ
cana-5234	269	5	accuracy	accuracy	NOUN
cana-5234	269	6	levels	level	NOUN
cana-5234	269	7	and	and	CCONJ
cana-5234	269	8	contrasts	contrast	VERB
cana-5234	269	9	contemporary	contemporary	ADJ
cana-5234	269	10	techniques	technique	NOUN
cana-5234	269	11	with	with	ADP
cana-5234	269	12	more	more	ADV
cana-5234	269	13	traditional	traditional	ADJ
cana-5234	269	14	ones	one	NOUN
cana-5234	269	15	.	.	PUNCT
cana-5234	270	1	in	in	ADP
cana-5234	270	2	comparison	comparison	NOUN
cana-5234	270	3	with	with	ADP
cana-5234	270	4	traditional	traditional	ADJ
cana-5234	270	5	approaches	approach	NOUN
cana-5234	270	6	,	,	PUNCT
cana-5234	270	7	the	the	DET
cana-5234	270	8	proposed	propose	VERB
cana-5234	270	9	method	method	NOUN
cana-5234	270	10	attains	attain	VERB
cana-5234	270	11	an	an	DET
cana-5234	270	12	approximate	approximate	ADJ
cana-5234	270	13	99	99	NUM
cana-5234	270	14	%	%	NOUN
cana-5234	270	15	overall	overall	ADJ
cana-5234	270	16	accuracy	accuracy	NOUN
cana-5234	270	17	.	.	PUNCT
cana-5234	271	1	mecnet	mecnet	NOUN
cana-5234	271	2	performs	perform	VERB
cana-5234	271	3	nearly	nearly	ADV
cana-5234	271	4	as	as	ADV
cana-5234	271	5	well	well	ADV
cana-5234	271	6	as	as	ADP
cana-5234	271	7	nomfchnn	nomfchnn	NOUN
cana-5234	271	8	when	when	SCONJ
cana-5234	271	9	compared	compare	VERB
cana-5234	271	10	to	to	ADP
cana-5234	271	11	the	the	DET
cana-5234	271	12	other	other	ADJ
cana-5234	271	13	methods	method	NOUN
cana-5234	271	14	according	accord	VERB
cana-5234	271	15	to	to	ADP
cana-5234	271	16	the	the	DET
cana-5234	271	17	performance	performance	NOUN
cana-5234	271	18	measures	measure	NOUN
cana-5234	271	19	mentioned	mention	VERB
cana-5234	271	20	earlier	early	ADV
cana-5234	271	21	,	,	PUNCT
cana-5234	271	22	when	when	SCONJ
cana-5234	271	23	compared	compare	VERB
cana-5234	271	24	to	to	ADP
cana-5234	271	25	other	other	ADJ
cana-5234	271	26	methods	method	NOUN
cana-5234	271	27	,	,	PUNCT
cana-5234	271	28	the	the	DET
cana-5234	271	29	suggested	suggest	VERB
cana-5234	271	30	methodology	methodology	NOUN
cana-5234	271	31	outperforms	outperform	VERB
cana-5234	271	32	the	the	DET
cana-5234	271	33	existing	exist	VERB
cana-5234	271	34	methods	method	NOUN
cana-5234	271	35	that	that	PRON
cana-5234	271	36	were	be	AUX
cana-5234	271	37	established	establish	VERB
cana-5234	271	38	for	for	ADP
cana-5234	271	39	bioinformatics	bioinformatics	NOUN
cana-5234	271	40	covid	covid	NOUN
cana-5234	271	41	picture	picture	NOUN
cana-5234	271	42	segmentation	segmentation	NOUN
cana-5234	271	43	.	.	PUNCT
cana-5234	272	1	4	4	X
cana-5234	272	2	.	.	X
cana-5234	272	3	conclusion	conclusion	NOUN
cana-5234	272	4	to	to	PART
cana-5234	272	5	manage	manage	VERB
cana-5234	272	6	the	the	DET
cana-5234	272	7	segmentation	segmentation	NOUN
cana-5234	272	8	process	process	NOUN
cana-5234	272	9	on	on	ADP
cana-5234	272	10	real	real	ADJ
cana-5234	272	11	-	-	PUNCT
cana-5234	272	12	time	time	NOUN
cana-5234	272	13	medical	medical	ADJ
cana-5234	272	14	covid	covid	PROPN
cana-5234	272	15	images	image	NOUN
cana-5234	272	16	,	,	PUNCT
cana-5234	272	17	we	we	PRON
cana-5234	272	18	propose	propose	VERB
cana-5234	272	19	and	and	CCONJ
cana-5234	272	20	introduce	introduce	VERB
cana-5234	272	21	a	a	DET
cana-5234	272	22	novel	novel	NOUN
cana-5234	272	23	optimized	optimize	VERB
cana-5234	272	24	multi	multi	NOUN
cana-5234	272	25	feature	feature	NOUN
cana-5234	272	26	contour	contour	NOUN
cana-5234	272	27	based	base	VERB
cana-5234	272	28	hierarchal	hierarchal	ADJ
cana-5234	272	29	neural	neural	ADJ
cana-5234	272	30	network	network	NOUN
cana-5234	272	31	(	(	PUNCT
cana-5234	272	32	nomfchnn	nomfchnn	PROPN
cana-5234	272	33	)	)	PUNCT
cana-5234	272	34	,	,	PUNCT
cana-5234	272	35	an	an	DET
cana-5234	272	36	approach	approach	NOUN
cana-5234	272	37	to	to	PART
cana-5234	272	38	covid	covid	VERB
cana-5234	272	39	body	body	NOUN
cana-5234	272	40	extraction	extraction	NOUN
cana-5234	272	41	driven	drive	VERB
cana-5234	272	42	by	by	ADP
cana-5234	272	43	multiple	multiple	ADJ
cana-5234	272	44	objectives	objective	NOUN
cana-5234	272	45	.	.	PUNCT
cana-5234	273	1	the	the	DET
cana-5234	273	2	method	method	NOUN
cana-5234	273	3	relies	rely	VERB
cana-5234	273	4	on	on	ADP
cana-5234	273	5	the	the	DET
cana-5234	273	6	likely	likely	ADJ
cana-5234	273	7	relationship	relationship	NOUN
cana-5234	273	8	of	of	ADP
cana-5234	273	9	factors	factor	NOUN
cana-5234	273	10	and	and	CCONJ
cana-5234	273	11	is	be	AUX
cana-5234	273	12	both	both	PRON
cana-5234	273	13	simple	simple	ADJ
cana-5234	273	14	and	and	CCONJ
cana-5234	273	15	effective	effective	ADJ
cana-5234	273	16	for	for	ADP
cana-5234	273	17	evaluating	evaluate	VERB
cana-5234	273	18	pixel	pixel	ADJ
cana-5234	273	19	interactions	interaction	NOUN
cana-5234	273	20	.	.	PUNCT
cana-5234	274	1	as	as	ADP
cana-5234	274	2	a	a	DET
cana-5234	274	3	means	means	NOUN
cana-5234	274	4	of	of	ADP
cana-5234	274	5	delving	delve	VERB
cana-5234	274	6	into	into	ADP
cana-5234	274	7	the	the	DET
cana-5234	274	8	semantic	semantic	ADJ
cana-5234	274	9	data	datum	NOUN
cana-5234	274	10	associated	associate	VERB
cana-5234	274	11	with	with	ADP
cana-5234	274	12	covid19	covid19	NOUN
cana-5234	274	13	pictures	picture	NOUN
cana-5234	274	14	,	,	PUNCT
cana-5234	274	15	we	we	PRON
cana-5234	274	16	employ	employ	VERB
cana-5234	274	17	a	a	DET
cana-5234	274	18	hierarchical	hierarchical	ADJ
cana-5234	274	19	structure	structure	NOUN
cana-5234	274	20	that	that	PRON
cana-5234	274	21	combines	combine	VERB
cana-5234	274	22	multi	multi	ADJ
cana-5234	274	23	-	-	ADJ
cana-5234	274	24	scale	scale	ADJ
cana-5234	274	25	features	feature	NOUN
cana-5234	274	26	with	with	ADP
cana-5234	274	27	an	an	DET
cana-5234	274	28	optimized	optimize	VERB
cana-5234	274	29	contour	contour	NOUN
cana-5234	274	30	approach	approach	NOUN
cana-5234	274	31	to	to	PART
cana-5234	274	32	decode	decode	VERB
cana-5234	274	33	covid	covid	PROPN
cana-5234	274	34	body	body	PROPN
cana-5234	274	35	contours	contours	PROPN
cana-5234	274	36	.	.	PUNCT
cana-5234	275	1	when	when	SCONJ
cana-5234	275	2	all	all	PRON
cana-5234	275	3	of	of	ADP
cana-5234	275	4	the	the	DET
cana-5234	275	5	pixels	pixel	NOUN
cana-5234	275	6	in	in	ADP
cana-5234	275	7	an	an	DET
cana-5234	275	8	intense	intense	ADJ
cana-5234	275	9	image	image	NOUN
cana-5234	275	10	are	be	AUX
cana-5234	275	11	compared	compare	VERB
cana-5234	275	12	using	use	VERB
cana-5234	275	13	a	a	DET
cana-5234	275	14	matching	matching	NOUN
cana-5234	275	15	of	of	ADP
cana-5234	275	16	pixel	pixel	PROPN
cana-5234	275	17	pair	pair	PROPN
cana-5234	275	18	computation	computation	NOUN
cana-5234	275	19	method	method	NOUN
cana-5234	275	20	,	,	PUNCT
cana-5234	275	21	the	the	DET
cana-5234	275	22	semantic	semantic	ADJ
cana-5234	275	23	label	label	NOUN
cana-5234	275	24	with	with	ADP
cana-5234	275	25	similarity	similarity	NOUN
cana-5234	275	26	index	index	NOUN
cana-5234	275	27	is	be	AUX
cana-5234	275	28	increased	increase	VERB
cana-5234	275	29	.	.	PUNCT
cana-5234	276	1	improving	improve	VERB
cana-5234	276	2	picture	picture	NOUN
cana-5234	276	3	segmentation	segmentation	NOUN
cana-5234	276	4	quality	quality	NOUN
cana-5234	276	5	by	by	ADP
cana-5234	276	6	reducing	reduce	VERB
cana-5234	276	7	boundary	boundary	ADJ
cana-5234	276	8	pixel	pixel	NOUN
cana-5234	276	9	localization	localization	NOUN
cana-5234	276	10	.	.	PUNCT
cana-5234	277	1	results	result	NOUN
cana-5234	277	2	from	from	ADP
cana-5234	277	3	experiments	experiment	NOUN
cana-5234	277	4	with	with	ADP
cana-5234	277	5	gf-1	gf-1	ADV
cana-5234	277	6	medical	medical	ADJ
cana-5234	277	7	covid	covid	PROPN
cana-5234	277	8	images	image	NOUN
cana-5234	277	9	demonstrate	demonstrate	VERB
cana-5234	277	10	that	that	SCONJ
cana-5234	277	11	the	the	DET
cana-5234	277	12	suggested	suggest	VERB
cana-5234	277	13	method	method	NOUN
cana-5234	277	14	accurately	accurately	ADV
cana-5234	277	15	segments	segment	VERB
cana-5234	277	16	covid	covid	VERB
cana-5234	277	17	bodies	body	NOUN
cana-5234	277	18	from	from	ADP
cana-5234	277	19	these	these	DET
cana-5234	277	20	images	image	NOUN
cana-5234	277	21	and	and	CCONJ
cana-5234	277	22	has	have	VERB
cana-5234	277	23	high	high	ADJ
cana-5234	277	24	recall	recall	NOUN
cana-5234	277	25	and	and	CCONJ
cana-5234	277	26	precision	precision	NOUN
cana-5234	277	27	for	for	ADP
cana-5234	277	28	identifying	identify	VERB
cana-5234	277	29	land	land	NOUN
cana-5234	277	30	-	-	PUNCT
cana-5234	277	31	covid	covid	NOUN
cana-5234	277	32	boundaries	boundary	NOUN
cana-5234	277	33	.	.	PUNCT
cana-5234	278	1	using	use	VERB
cana-5234	278	2	semantic	semantic	ADJ
cana-5234	278	3	deep	deep	ADJ
cana-5234	278	4	learning	learning	NOUN
cana-5234	278	5	approaches	approach	NOUN
cana-5234	278	6	to	to	PART
cana-5234	278	7	further	far	ADV
cana-5234	278	8	refine	refine	VERB
cana-5234	278	9	this	this	DET
cana-5234	278	10	approach	approach	NOUN
cana-5234	278	11	and	and	CCONJ
cana-5234	278	12	identify	identify	VERB
cana-5234	278	13	the	the	DET
cana-5234	278	14	object	object	NOUN
cana-5234	278	15	is	be	AUX
cana-5234	278	16	a	a	DET
cana-5234	278	17	great	great	ADJ
cana-5234	278	18	next	next	ADJ
cana-5234	278	19	step	step	NOUN
cana-5234	278	20	.	.	PUNCT
cana-5234	279	1	3	3	NUM
cana-5234	279	2	0.71	0.71	NUM
cana-5234	279	3	0.86	0.86	NUM
cana-5234	279	4	0.84	0.84	NUM
cana-5234	279	5	0.92	0.92	NUM
cana-5234	279	6	4	4	NUM
cana-5234	279	7	0.75	0.75	NUM
cana-5234	279	8	0.85	0.85	NUM
cana-5234	279	9	0.79	0.79	NUM
cana-5234	279	10	0.89	0.89	NUM
cana-5234	279	11	5	5	NUM
cana-5234	279	12	0.89	0.89	NUM
cana-5234	279	13	0.90	0.90	NUM
cana-5234	279	14	0.86	0.86	NUM
cana-5234	279	15	0.94	0.94	NUM
cana-5234	279	16	communications	communication	NOUN
cana-5234	279	17	on	on	ADP
cana-5234	279	18	applied	apply	VERB
cana-5234	279	19	nonlinear	nonlinear	ADJ
cana-5234	279	20	analysis	analysis	NOUN
cana-5234	279	21	issn	issn	NOUN
cana-5234	279	22	:	:	PUNCT
cana-5234	279	23	1074	1074	NUM
cana-5234	279	24	-	-	PUNCT
cana-5234	279	25	133x	133x	NUM
cana-5234	279	26	vol	vol	VERB
cana-5234	279	27	32	32	NUM
cana-5234	279	28	no	no	NOUN
cana-5234	279	29	.	.	PUNCT
cana-5234	280	1	10s	10	NOUN
cana-5234	280	2	(	(	PUNCT
cana-5234	280	3	2025	2025	NUM
cana-5234	280	4	)	)	PUNCT
cana-5234	280	5	1320	1320	NUM
cana-5234	280	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5234	280	7	5	5	X
cana-5234	280	8	.	.	PUNCT
cana-5234	280	9	references	reference	NOUN
cana-5234	280	10	[	[	X
cana-5234	280	11	1	1	NUM
cana-5234	280	12	]	]	X
cana-5234	280	13	zhang	zhang	PROPN
cana-5234	280	14	,	,	PUNCT
cana-5234	280	15	z.	z.	PROPN
cana-5234	280	16	,	,	PUNCT
cana-5234	280	17	nie	nie	PROPN
cana-5234	280	18	,	,	PUNCT
cana-5234	280	19	c.	c.	PROPN
cana-5234	280	20	;	;	PUNCT
cana-5234	280	21	yu	yu	PROPN
cana-5234	280	22	,	,	PUNCT
cana-5234	280	23	h.	h.	PROPN
cana-5234	280	24	;	;	PUNCT
cana-5234	280	25	ji	ji	PROPN
cana-5234	280	26	,	,	PUNCT
cana-5234	280	27	s.	s.	PROPN
cana-5234	280	28	;	;	PUNCT
cana-5234	280	29	lu	lu	PROPN
cana-5234	280	30	,	,	PUNCT
cana-5234	280	31	m.	m.	NOUN
cana-5234	280	32	wealthy	wealthy	ADJ
cana-5234	280	33	cnn	cnn	PROPN
cana-5234	280	34	features	feature	VERB
cana-5234	280	35	for	for	ADP
cana-5234	280	36	medical	medical	ADJ
cana-5234	280	37	and	and	CCONJ
cana-5234	280	38	very	very	ADV
cana-5234	280	39	high	high	ADJ
cana-5234	280	40	resolution	resolution	NOUN
cana-5234	280	41	aerial	aerial	ADJ
cana-5234	280	42	covid	covid	PROPN
cana-5234	280	43	imagery	imagery	PROPN
cana-5234	280	44	covid	covid	PROPN
cana-5234	280	45	-	-	PUNCT
cana-5234	280	46	body	body	NOUN
cana-5234	280	47	segmentation	segmentation	NOUN
cana-5234	280	48	.	.	PUNCT
cana-5234	281	1	2021	2021	NUM
cana-5234	281	2	;	;	PUNCT
cana-5234	281	3	remote	remote	ADJ
cana-5234	281	4	sens	sen	NOUN
cana-5234	281	5	.	.	PROPN
cana-5234	281	6	13	13	NUM
cana-5234	281	7	,	,	PUNCT
cana-5234	281	8	1912	1912	NUM
cana-5234	281	9	.	.	PUNCT
cana-5234	282	1	doi	doi	NOUN
cana-5234	282	2	:	:	PUNCT
cana-5234	282	3	10.3390	10.3390	NUM
cana-5234	282	4	/	/	SYM
cana-5234	282	5	rs13101912	rs13101912	PROPN
cana-5234	282	6	can	can	AUX
cana-5234	282	7	be	be	AUX
cana-5234	282	8	found	find	VERB
cana-5234	282	9	here	here	ADV
cana-5234	282	10	.	.	PUNCT
cana-5234	283	1	[	[	X
cana-5234	283	2	2	2	X
cana-5234	283	3	]	]	PUNCT
cana-5234	283	4	"	"	PUNCT
cana-5234	283	5	deep	deep	ADJ
cana-5234	283	6	multi	multi	ADJ
cana-5234	283	7	-	-	ADJ
cana-5234	283	8	feature	feature	ADJ
cana-5234	283	9	learning	learn	VERB
cana-5234	283	10	architecture	architecture	NOUN
cana-5234	283	11	for	for	ADP
cana-5234	283	12	covid	covid	PROPN
cana-5234	283	13	body	body	NOUN
cana-5234	283	14	segmentation	segmentation	NOUN
cana-5234	283	15	from	from	ADP
cana-5234	283	16	medical	medical	ADJ
cana-5234	283	17	covid	covid	PROPN
cana-5234	283	18	images	image	NOUN
cana-5234	283	19	"	"	PUNCT
cana-5234	283	20	by	by	ADP
cana-5234	283	21	rishikesh	rishikesh	PROPN
cana-5234	283	22	g.	g.	PROPN
cana-5234	283	23	tambe	tambe	PROPN
cana-5234	283	24	,	,	PUNCT
cana-5234	283	25	sanjay	sanjay	PROPN
cana-5234	283	26	n.	n.	PROPN
cana-5234	283	27	talbar	talbar	PROPN
cana-5234	283	28	,	,	PUNCT
cana-5234	283	29	and	and	CCONJ
cana-5234	283	30	satishkumar	satishkumar	PROPN
cana-5234	283	31	s.	s.	PROPN
cana-5234	283	32	chavan	chavan	PROPN
cana-5234	283	33	was	be	AUX
cana-5234	283	34	published	publish	VERB
cana-5234	283	35	in	in	ADP
cana-5234	283	36	j.	j.	PROPN
cana-5234	283	37	vis	vis	X
cana-5234	283	38	.	.	PUNCT
cana-5234	284	1	commun	commun	PROPN
cana-5234	284	2	.	.	PUNCT
cana-5234	285	1	image	image	PROPN
cana-5234	285	2	r.	r.	PROPN
cana-5234	285	3	77	77	NUM
cana-5234	285	4	(	(	PUNCT
cana-5234	285	5	2021	2021	NUM
cana-5234	285	6	)	)	PUNCT
cana-5234	285	7	103141	103141	NUM
cana-5234	285	8	.	.	PUNCT
cana-5234	286	1	[	[	X
cana-5234	286	2	3	3	X
cana-5234	286	3	]	]	PUNCT
cana-5234	286	4	suting	sute	VERB
cana-5234	286	5	chen	chen	PROPN
cana-5234	286	6	,	,	PUNCT
cana-5234	286	7	yao	yao	PROPN
cana-5234	286	8	liu	liu	PROPN
cana-5234	286	9	,	,	PUNCT
cana-5234	286	10	and	and	CCONJ
cana-5234	286	11	chuang	chuang	PROPN
cana-5234	286	12	zhang	zhang	PROPN
cana-5234	286	13	(	(	PUNCT
cana-5234	286	14	2021	2021	NUM
cana-5234	286	15	)	)	PUNCT
cana-5234	286	16	feature	feature	NOUN
cana-5234	286	17	pyramid	pyramid	NOUN
cana-5234	286	18	enhancement	enhancement	NOUN
cana-5234	286	19	and	and	CCONJ
cana-5234	286	20	pixel	pixel	PROPN
cana-5234	286	21	pair	pair	NOUN
cana-5234	286	22	matching	match	VERB
cana-5234	286	23	for	for	ADP
cana-5234	286	24	covid	covid	ADJ
cana-5234	286	25	-	-	PUNCT
cana-5234	286	26	body	body	NOUN
cana-5234	286	27	segmentation	segmentation	NOUN
cana-5234	286	28	for	for	ADP
cana-5234	286	29	multi	multi	ADJ
cana-5234	286	30	-	-	ADJ
cana-5234	286	31	spectral	spectral	ADJ
cana-5234	286	32	covid	covid	PROPN
cana-5234	286	33	images	image	NOUN
cana-5234	286	34	,	,	PUNCT
cana-5234	286	35	42:13	42:13	NUM
cana-5234	286	36	,	,	PUNCT
cana-5234	286	37	5025	5025	NUM
cana-5234	286	38	-	-	SYM
cana-5234	286	39	5043	5043	NUM
cana-5234	286	40	,	,	PUNCT
cana-5234	286	41	international	international	ADJ
cana-5234	286	42	journal	journal	NOUN
cana-5234	286	43	of	of	ADP
cana-5234	286	44	covid	covid	PROPN
cana-5234	286	45	,	,	PUNCT
cana-5234	286	46	doi	doi	NOUN
cana-5234	286	47	:	:	PUNCT
cana-5234	286	48	10.1080/01431161.2021.1906981	10.1080/01431161.2021.1906981	NUM
cana-5234	286	49	[	[	X
cana-5234	286	50	4	4	X
cana-5234	286	51	]	]	PUNCT
cana-5234	286	52	in	in	ADP
cana-5234	286	53	remote	remote	ADJ
cana-5234	286	54	sens	sen	NOUN
cana-5234	286	55	.	.	PROPN
cana-5234	286	56	2020	2020	NUM
cana-5234	286	57	,	,	PUNCT
cana-5234	286	58	12	12	NUM
cana-5234	286	59	,	,	PUNCT
cana-5234	286	60	795	795	NUM
cana-5234	286	61	,	,	PUNCT
cana-5234	286	62	doi:10.3390	doi:10.3390	NOUN
cana-5234	286	63	/	/	SYM
cana-5234	286	64	rs12050795	rs12050795	PROPN
cana-5234	286	65	,	,	PUNCT
cana-5234	286	66	guojie	guojie	PROPN
cana-5234	286	67	wang	wang	PROPN
cana-5234	286	68	1	1	NUM
cana-5234	286	69	,	,	PUNCT
cana-5234	286	70	*	*	PROPN
cana-5234	286	71	,	,	PUNCT
cana-5234	286	72	mengjuan	mengjuan	NOUN
cana-5234	286	73	wu	wu	PROPN
cana-5234	286	74	1	1	NUM
cana-5234	286	75	,	,	PUNCT
cana-5234	286	76	xikun	xikun	PROPN
cana-5234	286	77	wei	wei	PROPN
cana-5234	286	78	1	1	NUM
cana-5234	286	79	,	,	PUNCT
cana-5234	286	80	and	and	CCONJ
cana-5234	286	81	huihui	huihui	NOUN
cana-5234	286	82	song	song	NOUN
cana-5234	286	83	2	2	NUM
cana-5234	286	84	"	"	PUNCT
cana-5234	286	85	covid	covid	VERB
cana-5234	286	86	identification	identification	NOUN
cana-5234	286	87	from	from	ADP
cana-5234	286	88	high	high	ADJ
cana-5234	286	89	-	-	PUNCT
cana-5234	286	90	resolution	resolution	NOUN
cana-5234	286	91	covid	covid	NOUN
cana-5234	286	92	images	image	NOUN
cana-5234	286	93	based	base	VERB
cana-5234	286	94	on	on	ADP
cana-5234	286	95	multidimensional	multidimensional	ADJ
cana-5234	286	96	densely	densely	ADV
cana-5234	286	97	connected	connected	ADJ
cana-5234	286	98	convolutional	convolutional	ADJ
cana-5234	286	99	neural	neural	ADJ
cana-5234	286	100	networks	network	NOUN
cana-5234	286	101	"	"	PUNCT
cana-5234	286	102	.	.	PUNCT
cana-5234	287	1	[	[	X
cana-5234	287	2	5	5	X
cana-5234	287	3	]	]	X
cana-5234	287	4	hongxiang	hongxiang	NOUN
cana-5234	287	5	guo	guo	PROPN
cana-5234	287	6	1,2	1,2	NUM
cana-5234	287	7	,	,	PUNCT
cana-5234	287	8	guojin	guojin	VERB
cana-5234	287	9	he	he	PRON
cana-5234	287	10	1,3,4,*,y	1,3,4,*,y	NOUN
cana-5234	287	11	,	,	PUNCT
cana-5234	287	12	wei	wei	PROPN
cana-5234	287	13	jiang	jiang	PROPN
cana-5234	287	14	5,6,y	5,6,y	PROPN
cana-5234	287	15	,	,	PUNCT
cana-5234	287	16	ranyu	ranyu	VERB
cana-5234	287	17	yin	yin	PROPN
cana-5234	287	18	1,2	1,2	NUM
cana-5234	287	19	,	,	PUNCT
cana-5234	287	20	lei	lei	PROPN
cana-5234	287	21	yan	yan	PROPN
cana-5234	287	22	1,2	1,2	NUM
cana-5234	287	23	,	,	PUNCT
cana-5234	287	24	and	and	CCONJ
cana-5234	287	25	wanchun	wanchun	PROPN
cana-5234	287	26	leng	leng	PROPN
cana-5234	287	27	,	,	PUNCT
cana-5234	287	28	"	"	PUNCT
cana-5234	287	29	a	a	DET
cana-5234	287	30	multi	multi	ADJ
cana-5234	287	31	-	-	ADJ
cana-5234	287	32	scalecovid	scalecovid	ADJ
cana-5234	287	33	extraction	extraction	NOUN
cana-5234	287	34	convolutional	convolutional	ADJ
cana-5234	287	35	neural	neural	ADJ
cana-5234	287	36	network	network	NOUN
cana-5234	287	37	(	(	PUNCT
cana-5234	287	38	mwen	mwen	NOUN
cana-5234	287	39	)	)	PUNCT
cana-5234	287	40	method	method	NOUN
cana-5234	287	41	for	for	ADP
cana-5234	287	42	gaofen-1	gaofen-1	PROPN
cana-5234	287	43	covid	covid	PROPN
cana-5234	287	44	images	image	NOUN
cana-5234	287	45	"	"	PUNCT
cana-5234	287	46	,	,	PUNCT
cana-5234	287	47	isprs	isprs	NOUN
cana-5234	287	48	int	int	NOUN
cana-5234	287	49	.	.	PUNCT
cana-5234	288	1	j.	j.	PROPN
cana-5234	288	2	geo	geo	PROPN
cana-5234	288	3	-	-	PUNCT
cana-5234	288	4	inf	inf	NOUN
cana-5234	288	5	.	.	PUNCT
cana-5234	289	1	2020	2020	NUM
cana-5234	289	2	,	,	PUNCT
cana-5234	289	3	9	9	NUM
cana-5234	289	4	,	,	PUNCT
cana-5234	289	5	189	189	NUM
cana-5234	289	6	;	;	PUNCT
cana-5234	289	7	doi:10.3390	doi:10.3390	NOUN
cana-5234	289	8	/	/	SYM
cana-5234	289	9	ijgi9040189	ijgi9040189	PROPN
cana-5234	289	10	.	.	PUNCT
cana-5234	290	1	[	[	X
cana-5234	290	2	6	6	NUM
cana-5234	290	3	]	]	X
cana-5234	290	4	reid	reid	PROPN
cana-5234	290	5	,	,	PUNCT
cana-5234	290	6	i.	i.	PROPN
cana-5234	290	7	;	;	PUNCT
cana-5234	290	8	shen	shen	PROPN
cana-5234	290	9	,	,	PUNCT
cana-5234	290	10	c.	c.	PROPN
cana-5234	290	11	;	;	PUNCT
cana-5234	290	12	milan	milan	PROPN
cana-5234	290	13	,	,	PUNCT
cana-5234	290	14	a.	a.	PROPN
cana-5234	290	15	;	;	PUNCT
cana-5234	290	16	lin	lin	PROPN
cana-5234	290	17	,	,	PUNCT
cana-5234	290	18	g.	g.	PROPN
cana-5234	290	19	refinenet	refinenet	PROPN
cana-5234	290	20	:	:	PUNCT
cana-5234	290	21	high	high	ADJ
cana-5234	290	22	-	-	PUNCT
cana-5234	290	23	resolution	resolution	NOUN
cana-5234	290	24	semantic	semantic	ADJ
cana-5234	290	25	segmentation	segmentation	NOUN
cana-5234	290	26	using	use	VERB
cana-5234	290	27	multi	multi	ADJ
cana-5234	290	28	-	-	ADJ
cana-5234	290	29	path	path	ADJ
cana-5234	290	30	refinement	refinement	NOUN
cana-5234	290	31	networks	network	NOUN
cana-5234	290	32	.	.	PUNCT
cana-5234	291	1	in	in	ADP
cana-5234	291	2	honolulu	honolulu	PROPN
cana-5234	291	3	,	,	PUNCT
cana-5234	291	4	hawaii	hawaii	PROPN
cana-5234	291	5	,	,	PUNCT
cana-5234	291	6	usa	usa	PROPN
cana-5234	291	7	,	,	PUNCT
cana-5234	291	8	july	july	PROPN
cana-5234	291	9	22–25	22–25	NUM
cana-5234	291	10	,	,	PUNCT
cana-5234	291	11	2017	2017	NUM
cana-5234	291	12	ieee	ieee	NOUN
cana-5234	291	13	conference	conference	NOUN
cana-5234	291	14	on	on	ADP
cana-5234	291	15	computer	computer	NOUN
cana-5234	291	16	vision	vision	NOUN
cana-5234	291	17	and	and	CCONJ
cana-5234	291	18	pattern	pattern	NOUN
cana-5234	291	19	recognition	recognition	NOUN
cana-5234	291	20	proceedings	proceeding	NOUN
cana-5234	291	21	,	,	PUNCT
cana-5234	291	22	pp	pp	ADP
cana-5234	291	23	.	.	PUNCT
cana-5234	291	24	1925–1934	1925–1934	NUM
cana-5234	291	25	.	.	PUNCT
cana-5234	292	1	[	[	X
cana-5234	292	2	7	7	X
cana-5234	292	3	]	]	X
cana-5234	292	4	resnest	resnest	NOUN
cana-5234	292	5	:	:	PUNCT
cana-5234	292	6	split	split	ADJ
cana-5234	292	7	-	-	PUNCT
cana-5234	292	8	attention	attention	NOUN
cana-5234	292	9	networks	network	NOUN
cana-5234	292	10	;	;	PUNCT
cana-5234	292	11	zhang	zhang	PROPN
cana-5234	292	12	,	,	PUNCT
cana-5234	292	13	h.	h.	PROPN
cana-5234	292	14	;	;	PUNCT
cana-5234	292	15	wu	wu	PROPN
cana-5234	292	16	,	,	PUNCT
cana-5234	292	17	c.	c.	PROPN
cana-5234	292	18	;	;	PUNCT
cana-5234	292	19	zhang	zhang	PROPN
cana-5234	292	20	,	,	PUNCT
cana-5234	292	21	z.	z.	PROPN
cana-5234	292	22	;	;	PUNCT
cana-5234	292	23	zhu	zhu	PROPN
cana-5234	292	24	,	,	PUNCT
cana-5234	292	25	y.	y.	PROPN
cana-5234	292	26	;	;	PUNCT
cana-5234	292	27	zhang	zhang	PROPN
cana-5234	292	28	,	,	PUNCT
cana-5234	292	29	z.	z.	PROPN
cana-5234	292	30	;	;	PUNCT
cana-5234	292	31	lin	lin	PROPN
cana-5234	292	32	,	,	PUNCT
cana-5234	292	33	h.	h.	PROPN
cana-5234	292	34	;	;	PUNCT
cana-5234	292	35	sun	sun	NOUN
cana-5234	292	36	,	,	PUNCT
cana-5234	292	37	y.	y.	PROPN
cana-5234	292	38	;	;	PUNCT
cana-5234	292	39	he	he	PRON
cana-5234	292	40	,	,	PUNCT
cana-5234	292	41	t.	t.	PROPN
cana-5234	292	42	;	;	PUNCT
cana-5234	292	43	mueller	mueller	PROPN
cana-5234	292	44	,	,	PUNCT
cana-5234	292	45	j.	j.	PROPN
cana-5234	292	46	;	;	PUNCT
cana-5234	292	47	manmatha	manmatha	NOUN
cana-5234	292	48	,	,	PUNCT
cana-5234	292	49	r.	r.	PROPN
cana-5234	293	1	[	[	X
cana-5234	293	2	8	8	NUM
cana-5234	293	3	]	]	X
cana-5234	293	4	qin	qin	PROPN
cana-5234	293	5	,	,	PUNCT
cana-5234	293	6	x.	x.	PROPN
cana-5234	293	7	;	;	PUNCT
cana-5234	293	8	zhang	zhang	PROPN
cana-5234	293	9	,	,	PUNCT
cana-5234	293	10	z.	z.	PROPN
cana-5234	293	11	;	;	PUNCT
cana-5234	293	12	huang	huang	PROPN
cana-5234	293	13	,	,	PUNCT
cana-5234	293	14	c.	c.	PROPN
cana-5234	293	15	;	;	PUNCT
cana-5234	293	16	gao	gao	PROPN
cana-5234	293	17	,	,	PUNCT
cana-5234	293	18	c.	c.	PROPN
cana-5234	293	19	;	;	PUNCT
cana-5234	293	20	dehghan	dehghan	PROPN
cana-5234	293	21	,	,	PUNCT
cana-5234	293	22	m.	m.	NOUN
cana-5234	293	23	;	;	PUNCT
cana-5234	293	24	jagersand	jagersand	NOUN
cana-5234	293	25	,	,	PUNCT
cana-5234	293	26	m.	m.	NOUN
cana-5234	293	27	basnet	basnet	PROPN
cana-5234	293	28	:	:	PUNCT
cana-5234	293	29	sensitive	sensitive	ADJ
cana-5234	293	30	object	object	NOUN
cana-5234	293	31	detection	detection	NOUN
cana-5234	293	32	with	with	ADP
cana-5234	293	33	boundary	boundary	ADJ
cana-5234	293	34	awareness	awareness	NOUN
cana-5234	293	35	.	.	PUNCT
cana-5234	294	1	in	in	ADP
cana-5234	294	2	the	the	DET
cana-5234	294	3	ieee	ieee	NOUN
cana-5234	294	4	conference	conference	NOUN
cana-5234	294	5	on	on	ADP
cana-5234	294	6	computer	computer	NOUN
cana-5234	294	7	vision	vision	NOUN
cana-5234	294	8	and	and	CCONJ
cana-5234	294	9	pattern	pattern	NOUN
cana-5234	294	10	recognition	recognition	NOUN
cana-5234	294	11	proceedings	proceeding	NOUN
cana-5234	294	12	,	,	PUNCT
cana-5234	294	13	long	long	ADJ
cana-5234	294	14	beach	beach	NOUN
cana-5234	294	15	,	,	PUNCT
cana-5234	294	16	ca	ca	PROPN
cana-5234	294	17	,	,	PUNCT
cana-5234	294	18	usa	usa	PROPN
cana-5234	294	19	,	,	PUNCT
cana-5234	294	20	june	june	PROPN
cana-5234	294	21	16–20	16–20	NUM
cana-5234	294	22	,	,	PUNCT
cana-5234	294	23	2019	2019	NUM
cana-5234	294	24	;	;	PUNCT
cana-5234	294	25	pages	page	NOUN
cana-5234	294	26	7479–7489	7479–7489	NUM
cana-5234	294	27	.	.	PUNCT
cana-5234	295	1	[	[	X
cana-5234	295	2	9	9	NUM
cana-5234	295	3	]	]	PUNCT
cana-5234	295	4	yu	yu	PROPN
cana-5234	295	5	et	et	PROPN
cana-5234	295	6	al	al	PROPN
cana-5234	295	7	.	.	PROPN
cana-5234	295	8	(	(	PUNCT
cana-5234	295	9	2009	2009	NUM
cana-5234	295	10	)	)	PUNCT
cana-5234	295	11	wang	wang	PROPN
cana-5234	295	12	j.	j.	PROPN
cana-5234	295	13	peng	peng	PROPN
cana-5234	295	14	et	et	PROPN
cana-5234	295	15	al	al	PROPN
cana-5234	295	16	.	.	PROPN
cana-5234	296	1	(	(	PUNCT
cana-5234	296	2	2007	2007	NUM
cana-5234	296	3	)	)	PUNCT
cana-5234	296	4	gao	gao	PROPN
cana-5234	296	5	c.	c.	PROPN
cana-5234	296	6	yu	yu	PROPN
cana-5234	296	7	g.	g.	PROPN
cana-5234	296	8	sang	sing	VERB
cana-5234	296	9	n.	n.	NOUN
cana-5234	296	10	acquiring	acquire	VERB
cana-5234	296	11	knowledge	knowledge	NOUN
cana-5234	296	12	of	of	ADP
cana-5234	296	13	a	a	DET
cana-5234	296	14	discriminative	discriminative	NOUN
cana-5234	296	15	feature	feature	NOUN
cana-5234	296	16	network	network	NOUN
cana-5234	296	17	for	for	ADP
cana-5234	296	18	semantic	semantic	ADJ
cana-5234	296	19	division	division	NOUN
cana-5234	296	20	.	.	PUNCT
cana-5234	297	1	in	in	ADP
cana-5234	297	2	the	the	DET
cana-5234	297	3	ieee	ieee	NOUN
cana-5234	297	4	conference	conference	NOUN
cana-5234	297	5	on	on	ADP
cana-5234	297	6	computer	computer	NOUN
cana-5234	297	7	vision	vision	NOUN
cana-5234	297	8	and	and	CCONJ
cana-5234	297	9	pattern	pattern	NOUN
cana-5234	297	10	recognition	recognition	NOUN
cana-5234	297	11	proceedings	proceeding	NOUN
cana-5234	297	12	,	,	PUNCT
cana-5234	297	13	salt	salt	NOUN
cana-5234	297	14	lake	lake	PROPN
cana-5234	297	15	city	city	PROPN
cana-5234	297	16	,	,	PUNCT
cana-5234	297	17	ut	ut	PROPN
cana-5234	297	18	,	,	PUNCT
cana-5234	297	19	usa	usa	PROPN
cana-5234	297	20	,	,	PUNCT
cana-5234	297	21	june	june	PROPN
cana-5234	297	22	18–22	18–22	NUM
cana-5234	297	23	,	,	PUNCT
cana-5234	297	24	2018	2018	NUM
cana-5234	297	25	;	;	PUNCT
cana-5234	297	26	pages	page	NOUN
cana-5234	297	27	1857–1866	1857–1866	NUM
cana-5234	297	28	.	.	PUNCT
cana-5234	298	1	[	[	X
cana-5234	298	2	10	10	NUM
cana-5234	298	3	]	]	SYM
cana-5234	298	4	cascadepsp	cascadepsp	NOUN
cana-5234	298	5	:	:	PUNCT
cana-5234	298	6	toward	toward	ADP
cana-5234	298	7	class	class	NOUN
cana-5234	298	8	-	-	PUNCT
cana-5234	298	9	agnostic	agnostic	ADJ
cana-5234	298	10	and	and	CCONJ
cana-5234	298	11	very	very	ADV
cana-5234	298	12	high	high	ADJ
cana-5234	298	13	-	-	PUNCT
cana-5234	298	14	resolution	resolution	NOUN
cana-5234	298	15	segmentation	segmentation	NOUN
cana-5234	298	16	by	by	ADP
cana-5234	298	17	global	global	ADJ
cana-5234	298	18	and	and	CCONJ
cana-5234	298	19	local	local	ADJ
cana-5234	298	20	refinement	refinement	PROPN
cana-5234	298	21	cheng	cheng	PROPN
cana-5234	298	22	,	,	PUNCT
cana-5234	298	23	h.k	h.k	PROPN
cana-5234	298	24	.	.	PROPN
cana-5234	298	25	,	,	PUNCT
cana-5234	298	26	chung	chung	PROPN
cana-5234	298	27	,	,	PUNCT
cana-5234	298	28	j.	j.	PROPN
cana-5234	298	29	,	,	PUNCT
cana-5234	298	30	tai	tai	PROPN
cana-5234	298	31	,	,	PUNCT
cana-5234	298	32	y.-w	y.-w	PROPN
cana-5234	298	33	.	.	PROPN
cana-5234	298	34	,	,	PUNCT
cana-5234	298	35	tang	tang	PROPN
cana-5234	298	36	,	,	PUNCT
cana-5234	298	37	c.-k	c.-k	PROPN
cana-5234	298	38	.	.	PUNCT
cana-5234	299	1	in	in	ADP
cana-5234	299	2	the	the	DET
cana-5234	299	3	virtual	virtual	ADJ
cana-5234	299	4	conference	conference	NOUN
cana-5234	299	5	proceedings	proceeding	NOUN
cana-5234	299	6	of	of	ADP
cana-5234	299	7	the	the	DET
cana-5234	299	8	ieee	ieee	NOUN
cana-5234	299	9	/	/	SYM
cana-5234	299	10	cvf	cvf	NOUN
cana-5234	299	11	conference	conference	NOUN
cana-5234	299	12	on	on	ADP
cana-5234	299	13	computer	computer	NOUN
cana-5234	299	14	vision	vision	NOUN
cana-5234	299	15	and	and	CCONJ
cana-5234	299	16	pattern	pattern	NOUN
cana-5234	299	17	recognition	recognition	NOUN
cana-5234	299	18	,	,	PUNCT
cana-5234	299	19	held	hold	VERB
cana-5234	299	20	june	june	PROPN
cana-5234	299	21	14–19	14–19	NUM
cana-5234	299	22	,	,	PUNCT
cana-5234	299	23	2020	2020	NUM
cana-5234	299	24	,	,	PUNCT
cana-5234	299	25	in	in	ADP
cana-5234	299	26	seattle	seattle	PROPN
cana-5234	299	27	,	,	PUNCT
cana-5234	299	28	washington	washington	PROPN
cana-5234	299	29	,	,	PUNCT
cana-5234	299	30	usa	usa	PROPN
cana-5234	299	31	,	,	PUNCT
cana-5234	299	32	pp	pp	PROPN
cana-5234	299	33	.	.	PUNCT
cana-5234	299	34	8890–8899	8890–8899	NUM
cana-5234	299	35	.	.	PUNCT
cana-5234	300	1	[	[	X
cana-5234	300	2	11	11	NUM
cana-5234	300	3	]	]	X
cana-5234	300	4	liu	liu	PROPN
cana-5234	300	5	,	,	PUNCT
cana-5234	300	6	m.-y	m.-y	PROPN
cana-5234	300	7	.	.	PUNCT
cana-5234	300	8	;	;	PUNCT
cana-5234	300	9	yu	yu	PROPN
cana-5234	300	10	,	,	PUNCT
cana-5234	300	11	z.	z.	PROPN
cana-5234	300	12	;	;	PUNCT
cana-5234	300	13	feng	feng	PROPN
cana-5234	300	14	,	,	PUNCT
cana-5234	300	15	c.	c.	PROPN
cana-5234	300	16	;	;	PUNCT
cana-5234	300	17	ramalingam	ramalingam	NOUN
cana-5234	300	18	,	,	PUNCT
cana-5234	300	19	s.	s.	PROPN
cana-5234	300	20	casenet	casenet	PROPN
cana-5234	300	21	:	:	PUNCT
cana-5234	300	22	deep	deep	ADJ
cana-5234	300	23	semantic	semantic	ADJ
cana-5234	300	24	edge	edge	NOUN
cana-5234	300	25	detection	detection	NOUN
cana-5234	300	26	with	with	ADP
cana-5234	300	27	category	category	NOUN
cana-5234	300	28	awareness	awareness	NOUN
cana-5234	300	29	.	.	PUNCT
cana-5234	301	1	in	in	ADP
cana-5234	301	2	the	the	DET
cana-5234	301	3	ieee	ieee	NOUN
cana-5234	301	4	conference	conference	NOUN
cana-5234	301	5	on	on	ADP
cana-5234	301	6	computer	computer	NOUN
cana-5234	301	7	vision	vision	NOUN
cana-5234	301	8	and	and	CCONJ
cana-5234	301	9	pattern	pattern	NOUN
cana-5234	301	10	recognition	recognition	NOUN
cana-5234	301	11	proceedings	proceeding	NOUN
cana-5234	301	12	,	,	PUNCT
cana-5234	301	13	honolulu	honolulu	PROPN
cana-5234	301	14	,	,	PUNCT
cana-5234	301	15	hi	hi	PROPN
cana-5234	301	16	,	,	PUNCT
cana-5234	301	17	usa	usa	PROPN
cana-5234	301	18	,	,	PUNCT
cana-5234	301	19	july	july	PROPN
cana-5234	301	20	21–26	21–26	NUM
cana-5234	301	21	,	,	PUNCT
cana-5234	301	22	2017	2017	NUM
cana-5234	301	23	;	;	PUNCT
cana-5234	301	24	pages	page	NOUN
cana-5234	301	25	5964–5973	5964–5973	NUM
cana-5234	301	26	.	.	PUNCT
cana-5234	302	1	communications	communication	NOUN
cana-5234	302	2	on	on	ADP
cana-5234	302	3	applied	apply	VERB
cana-5234	302	4	nonlinear	nonlinear	ADJ
cana-5234	302	5	analysis	analysis	NOUN
cana-5234	302	6	issn	issn	NOUN
cana-5234	302	7	:	:	PUNCT
cana-5234	302	8	1074	1074	NUM
cana-5234	302	9	-	-	PUNCT
cana-5234	302	10	133x	133x	NUM
cana-5234	302	11	vol	vol	VERB
cana-5234	302	12	32	32	NUM
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cana-5234	302	14	.	.	PUNCT
cana-5234	303	1	10s	10	NOUN
cana-5234	303	2	(	(	PUNCT
cana-5234	303	3	2025	2025	NUM
cana-5234	303	4	)	)	PUNCT
cana-5234	303	5	1321	1321	NUM
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cana-5234	304	1	[	[	X
cana-5234	304	2	12	12	NUM
cana-5234	304	3	]	]	X
cana-5234	304	4	bertasius	bertasius	PROPN
cana-5234	304	5	,	,	PUNCT
cana-5234	304	6	g.	g.	PROPN
cana-5234	304	7	,	,	PUNCT
cana-5234	304	8	torresani	torresani	PROPN
cana-5234	304	9	,	,	PUNCT
cana-5234	304	10	l.	l.	PROPN
cana-5234	304	11	,	,	PUNCT
cana-5234	304	12	and	and	CCONJ
cana-5234	304	13	shi	shi	PROPN
cana-5234	304	14	,	,	PUNCT
cana-5234	304	15	j.	j.	PROPN
cana-5234	304	16	deepedge	deepedge	PROPN
cana-5234	304	17	:	:	PUNCT
cana-5234	304	18	top	top	ADJ
cana-5234	304	19	-	-	PUNCT
cana-5234	304	20	down	down	NOUN
cana-5234	304	21	contour	contour	NOUN
cana-5234	304	22	identification	identification	NOUN
cana-5234	304	23	using	use	VERB
cana-5234	304	24	a	a	DET
cana-5234	304	25	bifurcated	bifurcated	ADJ
cana-5234	304	26	deep	deep	ADJ
cana-5234	304	27	network	network	NOUN
cana-5234	304	28	on	on	ADP
cana-5234	304	29	many	many	ADJ
cana-5234	304	30	scales	scale	NOUN
cana-5234	304	31	.	.	PUNCT
cana-5234	305	1	in	in	ADP
cana-5234	305	2	the	the	DET
cana-5234	305	3	ieee	ieee	NOUN
cana-5234	305	4	conference	conference	NOUN
cana-5234	305	5	on	on	ADP
cana-5234	305	6	computer	computer	NOUN
cana-5234	305	7	vision	vision	NOUN
cana-5234	305	8	and	and	CCONJ
cana-5234	305	9	pattern	pattern	NOUN
cana-5234	305	10	recognition	recognition	NOUN
cana-5234	305	11	proceedings	proceeding	NOUN
cana-5234	305	12	,	,	PUNCT
cana-5234	305	13	held	hold	VERB
cana-5234	305	14	june	june	PROPN
cana-5234	305	15	8–10	8–10	PROPN
cana-5234	305	16	,	,	PUNCT
cana-5234	305	17	2015	2015	NUM
cana-5234	305	18	,	,	PUNCT
cana-5234	305	19	in	in	ADP
cana-5234	305	20	boston	boston	PROPN
cana-5234	305	21	,	,	PUNCT
cana-5234	305	22	massachusetts	massachusetts	PROPN
cana-5234	305	23	,	,	PUNCT
cana-5234	305	24	usa	usa	PROPN
cana-5234	305	25	,	,	PUNCT
cana-5234	305	26	pp	pp	PROPN
cana-5234	305	27	.	.	PUNCT
cana-5234	306	1	4380–4389	4380–4389	NUM
cana-5234	306	2	.	.	PUNCT
cana-5234	307	1	[	[	X
cana-5234	307	2	13	13	NUM
cana-5234	307	3	]	]	SYM
cana-5234	307	4	xie	xie	PROPN
cana-5234	307	5	,	,	PUNCT
cana-5234	307	6	s.	s.	PROPN
cana-5234	307	7	;	;	PUNCT
cana-5234	307	8	tu	tu	PROPN
cana-5234	307	9	,	,	PUNCT
cana-5234	307	10	z.	z.	PROPN
cana-5234	307	11	edge	edge	PROPN
cana-5234	307	12	detection	detection	NOUN
cana-5234	307	13	via	via	ADP
cana-5234	307	14	a	a	DET
cana-5234	307	15	holistic	holistic	ADJ
cana-5234	307	16	nested	nested	ADJ
cana-5234	307	17	approach	approach	NOUN
cana-5234	307	18	.	.	PUNCT
cana-5234	308	1	in	in	ADP
cana-5234	308	2	the	the	DET
cana-5234	308	3	ieee	ieee	NOUN
cana-5234	308	4	international	international	PROPN
cana-5234	308	5	conference	conference	NOUN
cana-5234	308	6	on	on	ADP
cana-5234	308	7	computer	computer	NOUN
cana-5234	308	8	vision	vision	NOUN
cana-5234	308	9	proceedings	proceeding	NOUN
cana-5234	308	10	,	,	PUNCT
cana-5234	308	11	december	december	PROPN
cana-5234	308	12	13–16	13–16	NUM
cana-5234	308	13	,	,	PUNCT
cana-5234	308	14	2015	2015	NUM
cana-5234	308	15	,	,	PUNCT
cana-5234	308	16	santiago	santiago	PROPN
cana-5234	308	17	,	,	PUNCT
cana-5234	308	18	chile	chile	PROPN
cana-5234	308	19	,	,	PUNCT
cana-5234	308	20	pp	pp	X
cana-5234	308	21	.	.	PUNCT
cana-5234	309	1	1395–1403	1395–1403	NUM
cana-5234	309	2	.	.	PUNCT
cana-5234	310	1	[	[	X
cana-5234	310	2	14	14	NUM
cana-5234	310	3	]	]	X
cana-5234	310	4	liu	liu	PROPN
cana-5234	310	5	,	,	PUNCT
cana-5234	310	6	l.	l.	PROPN
cana-5234	310	7	;	;	PUNCT
cana-5234	310	8	su	su	PROPN
cana-5234	310	9	,	,	PUNCT
cana-5234	310	10	h.	h.	PROPN
cana-5234	310	11	;	;	PUNCT
cana-5234	310	12	wu	wu	PROPN
cana-5234	310	13	,	,	PUNCT
cana-5234	310	14	w.	w.	PROPN
cana-5234	310	15	;	;	PUNCT
cana-5234	310	16	qi	qi	PROPN
cana-5234	310	17	,	,	PUNCT
cana-5234	310	18	h.	h.	PROPN
cana-5234	310	19	;	;	PUNCT
cana-5234	310	20	rong	rong	PROPN
cana-5234	310	21	,	,	PUNCT
cana-5234	310	22	z.	z.	PROPN
cana-5234	310	23	adversarial	adversarial	PROPN
cana-5234	310	24	learning	learning	NOUN
cana-5234	310	25	for	for	ADP
cana-5234	310	26	scribble	scribble	ADJ
cana-5234	310	27	-	-	PUNCT
cana-5234	310	28	supervised	supervised	ADJ
cana-5234	310	29	segmentation	segmentation	NOUN
cana-5234	310	30	of	of	ADP
cana-5234	310	31	aerial	aerial	ADJ
cana-5234	310	32	building	building	NOUN
cana-5234	310	33	footprints	footprint	NOUN
cana-5234	310	34	.	.	PUNCT
cana-5234	311	1	2018	2018	NUM
cana-5234	311	2	,	,	PUNCT
cana-5234	311	3	ieee	ieee	NOUN
cana-5234	311	4	access	access	NOUN
cana-5234	311	5	6	6	NUM
cana-5234	311	6	,	,	PUNCT
cana-5234	311	7	58898–58911	58898–58911	NUM
cana-5234	311	8	.	.	PUNCT
cana-5234	312	1	[	[	X
cana-5234	312	2	15	15	NUM
cana-5234	312	3	]	]	X
cana-5234	312	4	visual	visual	ADJ
cana-5234	312	5	attention	attention	NOUN
cana-5234	312	6	model	model	NOUN
cana-5234	312	7	based	base	VERB
cana-5234	312	8	mining	mining	NOUN
cana-5234	312	9	area	area	NOUN
cana-5234	312	10	recognition	recognition	NOUN
cana-5234	312	11	on	on	ADP
cana-5234	312	12	enormous	enormous	ADJ
cana-5234	312	13	high	high	ADJ
cana-5234	312	14	-	-	PUNCT
cana-5234	312	15	resolution	resolution	NOUN
cana-5234	312	16	covid	covid	NOUN
cana-5234	312	17	images	image	NOUN
cana-5234	312	18	song	song	NOUN
cana-5234	312	19	,	,	PUNCT
cana-5234	312	20	x.	x.	PROPN
cana-5234	312	21	,	,	PUNCT
cana-5234	312	22	he	he	PRON
cana-5234	312	23	,	,	PUNCT
cana-5234	312	24	g.	g.	PROPN
cana-5234	312	25	,	,	PUNCT
cana-5234	312	26	zhang	zhang	PROPN
cana-5234	312	27	,	,	PUNCT
cana-5234	312	28	z.	z.	PROPN
cana-5234	312	29	,	,	PUNCT
cana-5234	312	30	long	long	ADV
cana-5234	312	31	,	,	PUNCT
cana-5234	312	32	t.	t.	PROPN
cana-5234	312	33	,	,	PUNCT
cana-5234	312	34	peng	peng	PROPN
cana-5234	312	35	,	,	PUNCT
cana-5234	312	36	y.	y.	PROPN
cana-5234	312	37	,	,	PUNCT
cana-5234	312	38	wang	wang	PROPN
cana-5234	312	39	,	,	PUNCT
cana-5234	312	40	z.	z.	PROPN
cana-5234	312	41	2015	2015	NUM
cana-5234	312	42	.	.	PUNCT
cana-5234	313	1	clust	clust	PROPN
cana-5234	313	2	.	.	PUNCT
cana-5234	314	1	comput	comput	NOUN
cana-5234	314	2	.	.	PUNCT
cana-5234	315	1	2	2	NUM
cana-5234	315	2	,	,	PUNCT
cana-5234	315	3	541–548	541–548	NUM
cana-5234	315	4	.	.	PUNCT
cana-5234	316	1	[	[	X
cana-5234	316	2	16	16	NUM
cana-5234	316	3	]	]	X
cana-5234	316	4	ali	ali	PROPN
cana-5234	316	5	,	,	PUNCT
cana-5234	316	6	m.	m.	NOUN
cana-5234	316	7	;	;	PUNCT
cana-5234	316	8	sultani	sultani	PROPN
cana-5234	316	9	,	,	PUNCT
cana-5234	316	10	w.	w.	PROPN
cana-5234	316	11	;	;	PUNCT
cana-5234	316	12	shakeel	shakeel	PROPN
cana-5234	316	13	,	,	PUNCT
cana-5234	316	14	a.	a.	PROPN
cana-5234	316	15	attention	attention	NOUN
cana-5234	316	16	-	-	PUNCT
cana-5234	316	17	based	base	VERB
cana-5234	316	18	re	re	NOUN
cana-5234	316	19	-	-	NOUN
cana-5234	316	20	weighting	weight	VERB
cana-5234	316	21	for	for	ADP
cana-5234	316	22	deep	deep	ADJ
cana-5234	316	23	built	build	VERB
cana-5234	316	24	-	-	PUNCT
cana-5234	316	25	structure	structure	NOUN
cana-5234	316	26	counting	counting	NOUN
cana-5234	316	27	in	in	ADP
cana-5234	316	28	medical	medical	ADJ
cana-5234	316	29	covid	covid	PROPN
cana-5234	316	30	imaging	imaging	PROPN
cana-5234	316	31	.	.	PUNCT
cana-5234	317	1	photogramme	photogramme	PROPN
cana-5234	317	2	remote	remote	PROPN
cana-5234	317	3	sens	sens	PROPN
cana-5234	317	4	.	.	PROPN
cana-5234	317	5	isprs	isprs	PROPN
cana-5234	317	6	j.	j.	PROPN
cana-5234	317	7	2019	2019	NUM
cana-5234	317	8	,	,	PUNCT
cana-5234	317	9	151	151	NUM
cana-5234	317	10	,	,	PUNCT
cana-5234	317	11	313–321	313–321	NUM
cana-5234	317	12	.	.	PUNCT
cana-5234	318	1	[	[	X
cana-5234	318	2	17	17	NUM
cana-5234	318	3	]	]	X
cana-5234	318	4	lu	lu	PROPN
cana-5234	318	5	,	,	PUNCT
cana-5234	318	6	z.	z.	PROPN
cana-5234	318	7	;	;	PUNCT
cana-5234	318	8	zhong	zhong	PROPN
cana-5234	318	9	,	,	PUNCT
cana-5234	318	10	z.	z.	PROPN
cana-5234	318	11	;	;	PUNCT
cana-5234	318	12	tao	tao	PROPN
cana-5234	318	13	,	,	PUNCT
cana-5234	318	14	y.	y.	PROPN
cana-5234	318	15	;	;	PUNCT
cana-5234	318	16	xu	xu	PROPN
cana-5234	318	17	,	,	PUNCT
cana-5234	318	18	r.	r.	PROPN
cana-5234	318	19	neural	neural	PROPN
cana-5234	318	20	networks	network	NOUN
cana-5234	318	21	with	with	ADP
cana-5234	318	22	attention	attention	NOUN
cana-5234	318	23	mechanisms	mechanism	NOUN
cana-5234	318	24	for	for	ADP
cana-5234	318	25	high	high	ADJ
cana-5234	318	26	-	-	PUNCT
cana-5234	318	27	resolution	resolution	NOUN
cana-5234	318	28	classification	classification	NOUN
cana-5234	318	29	of	of	ADP
cana-5234	318	30	covid	covid	PROPN
cana-5234	318	31	images	image	NOUN
cana-5234	318	32	.	.	PUNCT
cana-5234	318	33	2018	2018	NUM
cana-5234	318	34	;	;	PUNCT
cana-5234	318	35	remote	remote	ADJ
cana-5234	318	36	sens	sen	NOUN
cana-5234	318	37	.	.	PROPN
cana-5234	318	38	10	10	NUM
cana-5234	318	39	,	,	PUNCT
cana-5234	318	40	1602	1602	NUM
cana-5234	318	41	.	.	PUNCT
cana-5234	319	1	[	[	X
cana-5234	319	2	18	18	NUM
cana-5234	319	3	]	]	X
cana-5234	319	4	luc	luc	PROPN
cana-5234	319	5	,	,	PUNCT
cana-5234	319	6	v.g	v.g	PROPN
cana-5234	319	7	.	.	PROPN
cana-5234	319	8	;	;	PUNCT
cana-5234	319	9	maninis	maninis	PROPN
cana-5234	319	10	,	,	PUNCT
cana-5234	319	11	k.k	k.k	PROPN
cana-5234	319	12	.	.	PROPN
cana-5234	319	13	;	;	PUNCT
cana-5234	319	14	pont	pont	NOUN
cana-5234	319	15	-	-	PUNCT
cana-5234	319	16	tuset	tuset	NOUN
cana-5234	319	17	,	,	PUNCT
cana-5234	319	18	j.	j.	PROPN
cana-5234	319	19	;	;	PUNCT
cana-5234	319	20	caelles	caelle	NOUN
cana-5234	319	21	,	,	PUNCT
cana-5234	319	22	s.	s.	PROPN
cana-5234	319	23	deep	deep	ADJ
cana-5234	319	24	extreme	extreme	ADJ
cana-5234	319	25	cut	cut	NOUN
cana-5234	319	26	:	:	PUNCT
cana-5234	319	27	segmenting	segment	VERB
cana-5234	319	28	objects	object	NOUN
cana-5234	319	29	from	from	ADP
cana-5234	319	30	extreme	extreme	ADJ
cana-5234	319	31	points	point	NOUN
cana-5234	319	32	.	.	PUNCT
cana-5234	320	1	in	in	ADP
cana-5234	320	2	the	the	DET
cana-5234	320	3	proceedings	proceeding	NOUN
cana-5234	320	4	of	of	ADP
cana-5234	320	5	the	the	DET
cana-5234	320	6	2018	2018	NUM
cana-5234	320	7	ieee	ieee	NOUN
cana-5234	320	8	conference	conference	NOUN
cana-5234	320	9	on	on	ADP
cana-5234	320	10	computer	computer	NOUN
cana-5234	320	11	vision	vision	NOUN
cana-5234	320	12	and	and	CCONJ
cana-5234	320	13	pattern	pattern	NOUN
cana-5234	320	14	recognition	recognition	NOUN
cana-5234	320	15	(	(	PUNCT
cana-5234	320	16	cvpr	cvpr	NOUN
cana-5234	320	17	)	)	PUNCT
cana-5234	320	18	,	,	PUNCT
cana-5234	320	19	held	hold	VERB
cana-5234	320	20	june	june	PROPN
cana-5234	320	21	18–22	18–22	NUM
cana-5234	320	22	in	in	ADP
cana-5234	320	23	salt	salt	PROPN
cana-5234	320	24	lake	lake	PROPN
cana-5234	320	25	city	city	PROPN
cana-5234	320	26	,	,	PUNCT
cana-5234	320	27	ut	ut	PROPN
cana-5234	320	28	,	,	PUNCT
cana-5234	320	29	usa	usa	PROPN
cana-5234	320	30	,	,	PUNCT
cana-5234	320	31	pp	pp	X
cana-5234	320	32	.	.	PUNCT
cana-5234	321	1	616–625	616–625	NUM
cana-5234	321	2	.	.	PUNCT
cana-5234	322	1	[	[	X
cana-5234	322	2	19	19	NUM
cana-5234	322	3	]	]	X
cana-5234	322	4	content	content	NOUN
cana-5234	322	5	-	-	PUNCT
cana-5234	322	6	aware	aware	ADJ
cana-5234	322	7	multi	multi	ADJ
cana-5234	322	8	-	-	ADJ
cana-5234	322	9	level	level	ADJ
cana-5234	322	10	guidance	guidance	NOUN
cana-5234	322	11	for	for	ADP
cana-5234	322	12	interactive	interactive	ADJ
cana-5234	322	13	instance	instance	NOUN
cana-5234	322	14	segmentation	segmentation	NOUN
cana-5234	322	15	,	,	PUNCT
cana-5234	322	16	majumder	majumder	NOUN
cana-5234	322	17	,	,	PUNCT
cana-5234	322	18	s.	s.	PROPN
cana-5234	322	19	;	;	PUNCT
cana-5234	322	20	yao	yao	PROPN
cana-5234	322	21	,	,	PUNCT
cana-5234	322	22	a.	a.	NOUN
cana-5234	322	23	appearing	appear	VERB
cana-5234	322	24	in	in	ADP
cana-5234	322	25	the	the	DET
cana-5234	322	26	ieee	ieee	NOUN
cana-5234	322	27	conference	conference	NOUN
cana-5234	322	28	proceedings	proceeding	NOUN
cana-5234	322	29	on	on	ADP
cana-5234	322	30	computer	computer	NOUN
cana-5234	322	31	vision	vision	NOUN
cana-5234	322	32	and	and	CCONJ
cana-5234	322	33	pattern	pattern	NOUN
cana-5234	322	34	recognition	recognition	NOUN
cana-5234	322	35	(	(	PUNCT
cana-5234	322	36	cvpr	cvpr	NOUN
cana-5234	322	37	)	)	PUNCT
cana-5234	322	38	,	,	PUNCT
cana-5234	322	39	june	june	PROPN
cana-5234	322	40	16–20	16–20	NUM
cana-5234	322	41	,	,	PUNCT
cana-5234	322	42	2019	2019	NUM
cana-5234	322	43	,	,	PUNCT
cana-5234	322	44	long	long	ADJ
cana-5234	322	45	beach	beach	NOUN
cana-5234	322	46	,	,	PUNCT
cana-5234	322	47	ca	ca	PROPN
cana-5234	322	48	,	,	PUNCT
cana-5234	322	49	usa	usa	PROPN
cana-5234	322	50	,	,	PUNCT
cana-5234	322	51	pp	pp	X
cana-5234	322	52	.	.	PUNCT
cana-5234	323	1	11602–11611	11602–11611	NUM
cana-5234	323	2	.	.	PUNCT
cana-5234	324	1	[	[	X
cana-5234	324	2	20	20	NUM
cana-5234	324	3	]	]	X
cana-5234	324	4	chen	chen	PROPN
cana-5234	324	5	,	,	PUNCT
cana-5234	324	6	w.	w.	PROPN
cana-5234	324	7	;	;	PUNCT
cana-5234	324	8	fidler	fidler	NOUN
cana-5234	324	9	,	,	PUNCT
cana-5234	324	10	s.	s.	PROPN
cana-5234	324	11	;	;	PUNCT
cana-5234	324	12	kar	kar	PROPN
cana-5234	324	13	,	,	PUNCT
cana-5234	324	14	a.	a.	NOUN
cana-5234	324	15	;	;	PUNCT
cana-5234	324	16	gao	gao	PROPN
cana-5234	324	17	,	,	PUNCT
cana-5234	324	18	j.	j.	PROPN
cana-5234	324	19	;	;	PUNCT
cana-5234	324	20	ling	ling	PROPN
cana-5234	324	21	,	,	PUNCT
cana-5234	324	22	h.	h.	PROPN
cana-5234	324	23	curve	curve	NOUN
cana-5234	324	24	-	-	PUNCT
cana-5234	324	25	gcn	gcn	NOUN
cana-5234	324	26	allows	allow	VERB
cana-5234	324	27	for	for	ADP
cana-5234	324	28	quick	quick	ADJ
cana-5234	324	29	and	and	CCONJ
cana-5234	324	30	interactive	interactive	ADJ
cana-5234	324	31	object	object	NOUN
cana-5234	324	32	annotation	annotation	NOUN
cana-5234	324	33	.	.	PUNCT
cana-5234	325	1	pages	page	NOUN
cana-5234	325	2	5257–5266	5257–5266	NUM
cana-5234	325	3	in	in	ADP
cana-5234	325	4	the	the	DET
cana-5234	325	5	proceedings	proceeding	NOUN
cana-5234	325	6	of	of	ADP
cana-5234	325	7	the	the	DET
cana-5234	325	8	ieee	ieee	NOUN
cana-5234	325	9	conference	conference	NOUN
cana-5234	325	10	on	on	ADP
cana-5234	325	11	computer	computer	NOUN
cana-5234	325	12	vision	vision	NOUN
cana-5234	325	13	and	and	CCONJ
cana-5234	325	14	pattern	pattern	NOUN
cana-5234	325	15	recognition	recognition	NOUN
cana-5234	325	16	(	(	PUNCT
cana-5234	325	17	cvpr	cvpr	NOUN
cana-5234	325	18	)	)	PUNCT
cana-5234	325	19	,	,	PUNCT
cana-5234	325	20	held	hold	VERB
cana-5234	325	21	june	june	PROPN
cana-5234	325	22	16–20	16–20	NUM
cana-5234	325	23	,	,	PUNCT
cana-5234	325	24	2019	2019	NUM
cana-5234	325	25	in	in	ADP
cana-5234	325	26	long	long	ADJ
cana-5234	325	27	beach	beach	NOUN
cana-5234	325	28	,	,	PUNCT
cana-5234	325	29	california	california	PROPN
cana-5234	325	30	,	,	PUNCT
cana-5234	325	31	usa	usa	PROPN
cana-5234	325	32	.	.	PUNCT
cana-5234	326	1	[	[	X
cana-5234	326	2	21	21	NUM
cana-5234	326	3	]	]	X
cana-5234	326	4	"	"	PUNCT
cana-5234	326	5	optical	optical	ADJ
cana-5234	326	6	covid	covid	NOUN
cana-5234	326	7	covid	covid	PROPN
cana-5234	326	8	-	-	PUNCT
cana-5234	326	9	land	land	NOUN
cana-5234	326	10	segmentation	segmentation	NOUN
cana-5234	326	11	representation	representation	NOUN
cana-5234	326	12	based	base	VERB
cana-5234	326	13	on	on	ADP
cana-5234	326	14	proposed	propose	VERB
cana-5234	326	15	sns	sns	PROPN
cana-5234	326	16	-	-	PUNCT
cana-5234	326	17	cnn	cnn	PROPN
cana-5234	326	18	network	network	NOUN
cana-5234	326	19	,	,	PUNCT
cana-5234	326	20	"	"	PUNCT
cana-5234	326	21	dong	dong	PROPN
cana-5234	326	22	,	,	PUNCT
cana-5234	326	23	s.	s.	PROPN
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cana-5234	326	25	l.	l.	PROPN
cana-5234	326	26	pang	pang	PROPN
cana-5234	326	27	,	,	PUNCT
cana-5234	326	28	y.	y.	PROPN
cana-5234	326	29	zhuang	zhuang	PROPN
cana-5234	326	30	,	,	PUNCT
cana-5234	326	31	w.	w.	PROPN
cana-5234	326	32	liu	liu	PROPN
cana-5234	326	33	,	,	PUNCT
cana-5234	326	34	and	and	CCONJ
cana-5234	326	35	t.	t.	PROPN
cana-5234	326	36	long	long	ADJ
cana-5234	326	37	.	.	PUNCT
cana-5234	327	1	2019	2019	NUM
cana-5234	327	2	.	.	PUNCT
cana-5234	328	1	igarss	igarss	VERB
cana-5234	328	2	for	for	ADP
cana-5234	328	3	2019–2019	2019–2019	NUM
cana-5234	328	4	ieee	ieee	NOUN
cana-5234	328	5	,	,	PUNCT
cana-5234	328	6	yokohama	yokohama	PROPN
cana-5234	328	7	,	,	PUNCT
cana-5234	328	8	japan	japan	PROPN
cana-5234	328	9	:	:	PUNCT
cana-5234	328	10	ieee	ieee	PROPN
cana-5234	328	11	international	international	PROPN
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cana-5234	328	13	and	and	CCONJ
cana-5234	328	14	covid	covid	PROPN
cana-5234	328	15	symposium	symposium	NOUN
cana-5234	328	16	.	.	PUNCT
cana-5234	329	1	[	[	X
cana-5234	329	2	22	22	NUM
cana-5234	329	3	]	]	PUNCT
cana-5234	329	4	xiangyun	xiangyun	PROPN
cana-5234	329	5	,	,	PUNCT
cana-5234	329	6	h.	h.	PROPN
cana-5234	329	7	,	,	PUNCT
cana-5234	329	8	and	and	CCONJ
cana-5234	329	9	l.	l.	PROPN
cana-5234	329	10	duan	duan	PROPN
cana-5234	329	11	.	.	PROPN
cana-5234	329	12	2020	2020	NUM
cana-5234	329	13	.	.	PUNCT
cana-5234	330	1	"	"	PUNCT
cana-5234	330	2	multiscale	multiscale	ADJ
cana-5234	330	3	refinement	refinement	NOUN
cana-5234	330	4	network	network	NOUN
cana-5234	330	5	for	for	ADP
cana-5234	330	6	high	high	ADJ
cana-5234	330	7	-	-	PUNCT
cana-5234	330	8	resolution	resolution	NOUN
cana-5234	330	9	medical	medical	ADJ
cana-5234	330	10	covid	covid	PROPN
cana-5234	330	11	imagery	imagery	NOUN
cana-5234	330	12	using	use	VERB
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cana-5234	330	14	-	-	PUNCT
cana-5234	330	15	body	body	NOUN
cana-5234	330	16	segmentation	segmentation	NOUN
cana-5234	330	17	.	.	PUNCT
cana-5234	330	18	"	"	PUNCT
cana-5234	331	1	doi:10.1109	doi:10.1109	ADJ
cana-5234	331	2	/	/	SYM
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cana-5234	331	5	geoence	geoence	NOUN
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cana-5234	331	7	covid	covid	PROPN
cana-5234	331	8	letters	letter	NOUN
cana-5234	331	9	17	17	NUM
cana-5234	331	10	(	(	PUNCT
cana-5234	331	11	4	4	NUM
cana-5234	331	12	):	):	PUNCT
cana-5234	331	13	686–690	686–690	NUM
cana-5234	331	14	[	[	X
cana-5234	331	15	23	23	NUM
cana-5234	331	16	]	]	PUNCT
cana-5234	331	17	"	"	PUNCT
cana-5234	331	18	covid	covid	PROPN
cana-5234	331	19	body	body	NOUN
cana-5234	331	20	semantic	semantic	ADJ
cana-5234	331	21	information	information	NOUN
cana-5234	331	22	description	description	NOUN
cana-5234	331	23	and	and	CCONJ
cana-5234	331	24	recognition	recognition	NOUN
cana-5234	331	25	based	base	VERB
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cana-5234	331	27	multimodal	multimodal	NOUN
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cana-5234	331	29	,	,	PUNCT
cana-5234	331	30	"	"	PUNCT
cana-5234	331	31	published	publish	VERB
cana-5234	331	32	in	in	ADP
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cana-5234	331	37	y.	y.	PROPN
cana-5234	331	38	,	,	PUNCT
cana-5234	331	39	s.	s.	PROPN
cana-5234	331	40	tian	tian	PROPN
cana-5234	331	41	,	,	PUNCT
cana-5234	331	42	l.	l.	PROPN
cana-5234	331	43	yu	yu	PROPN
cana-5234	331	44	,	,	PUNCT
cana-5234	331	45	and	and	CCONJ
cana-5234	331	46	r.	r.	PROPN
cana-5234	331	47	zhang	zhang	PROPN
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cana-5234	332	1	doi:10.1142	doi:10.1142	PROPN
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cana-5234	332	4	international	international	ADJ
cana-5234	332	5	journal	journal	NOUN
cana-5234	332	6	of	of	ADP
cana-5234	332	7	computational	computational	ADJ
cana-5234	332	8	intelligence	intelligence	NOUN
cana-5234	332	9	and	and	CCONJ
cana-5234	332	10	applications	application	NOUN
cana-5234	332	11	18	18	NUM
cana-5234	332	12	(	(	PUNCT
cana-5234	332	13	2	2	NUM
cana-5234	332	14	):	):	PUNCT
cana-5234	332	15	1950015	1950015	NUM
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cana-5234	333	1	[	[	X
cana-5234	333	2	24	24	NUM
cana-5234	333	3	]	]	PUNCT
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cana-5234	333	5	,	,	PUNCT
cana-5234	333	6	a.	a.	NOUN
cana-5234	333	7	;	;	PUNCT
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cana-5234	333	9	,	,	PUNCT
cana-5234	333	10	k.	k.	PROPN
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cana-5234	334	4	;	;	PUNCT
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cana-5234	334	7	at	at	ADP
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cana-5234	334	9	..	..	PUNCT
cana-5234	334	10	communications	communication	NOUN
cana-5234	334	11	on	on	ADP
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cana-5234	334	13	nonlinear	nonlinear	ADJ
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cana-5234	334	15	issn	issn	NOUN
cana-5234	334	16	:	:	PUNCT
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cana-5234	334	19	133x	133x	NUM
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cana-5234	335	1	10s	10	NOUN
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cana-5234	336	3	]	]	PUNCT
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cana-5234	336	9	santore	santore	PROPN
cana-5234	336	10	,	,	PUNCT
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cana-5234	336	12	,	,	PUNCT
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cana-5234	336	14	,	,	PUNCT
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cana-5234	336	16	,	,	PUNCT
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cana-5234	336	20	,	,	PUNCT
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cana-5234	336	22	,	,	PUNCT
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cana-5234	336	24	,	,	PUNCT
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cana-5234	336	35	d.	d.	PROPN
cana-5234	336	36	,	,	PUNCT
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cana-5234	336	38	,	,	PUNCT
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cana-5234	336	40	,	,	PUNCT
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cana-5234	336	55	at	at	ADP
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cana-5234	337	1	[	[	X
cana-5234	337	2	26	26	NUM
cana-5234	337	3	]	]	X
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cana-5234	337	7	:	:	PUNCT
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cana-5234	337	14	,	,	PUNCT
cana-5234	337	15	ronnberger	ronnberger	NOUN
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cana-5234	337	32	of	of	ADP
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cana-5234	337	35	image	image	NOUN
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cana-5234	337	38	computer	computer	NOUN
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cana-5234	337	42	,	,	PUNCT
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cana-5234	337	44	in	in	ADP
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cana-5234	337	51	,	,	PUNCT
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cana-5234	338	1	[	[	X
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cana-5234	338	7	;	;	PUNCT
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cana-5234	338	9	,	,	PUNCT
cana-5234	338	10	a.	a.	NOUN
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cana-5234	338	13	babinarayanan	babinarayanan	PROPN
cana-5234	338	14	,	,	PUNCT
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cana-5234	338	20	-	-	PUNCT
cana-5234	338	21	decoder	decoder	NOUN
cana-5234	338	22	architecture	architecture	NOUN
cana-5234	338	23	for	for	ADP
cana-5234	338	24	image	image	NOUN
cana-5234	338	25	segmentation	segmentation	NOUN
cana-5234	338	26	.	.	PUNCT
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cana-5234	339	2	,	,	PUNCT
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cana-5234	339	6	in	in	ADP
cana-5234	339	7	ieee	ieee	PROPN
cana-5234	339	8	trans	trans	PROPN
cana-5234	339	9	.	.	PUNCT
cana-5234	340	1	pattern	pattern	PROPN
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cana-5234	341	1	mach	mach	PROPN
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cana-5234	342	1	intell	intell	PROPN
cana-5234	342	2	.	.	PUNCT
cana-5234	343	1	[	[	X
cana-5234	343	2	pubmed	pubmed	X
cana-5234	343	3	]	]	X
cana-5234	344	1	[	[	X
cana-5234	344	2	28	28	NUM
cana-5234	344	3	]	]	X
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cana-5234	344	5	scene	scene	NOUN
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cana-5234	344	10	h.	h.	PROPN
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cana-5234	344	18	x.	x.	PROPN
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cana-5234	344	33	,	,	PUNCT
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cana-5234	344	36	,	,	PUNCT
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cana-5234	344	41	on	on	ADP
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cana-5234	345	1	6230–6239	6230–6239	NUM
cana-5234	345	2	.	.	PUNCT
cana-5234	346	1	[	[	X
cana-5234	346	2	29	29	NUM
cana-5234	346	3	]	]	X
cana-5234	346	4	malik	malik	PROPN
cana-5234	346	5	,	,	PUNCT
cana-5234	346	6	j.	j.	PROPN
cana-5234	346	7	;	;	PUNCT
cana-5234	346	8	darrel	darrel	PROPN
cana-5234	346	9	,	,	PUNCT
cana-5234	346	10	t.	t.	PROPN
cana-5234	346	11	;	;	PUNCT
cana-5234	346	12	donahue	donahue	PROPN
cana-5234	346	13	,	,	PUNCT
cana-5234	346	14	j.	j.	PROPN
cana-5234	346	15	;	;	PUNCT
cana-5234	346	16	girshick	girshick	PROPN
cana-5234	346	17	,	,	PUNCT
cana-5234	346	18	r.	r.	PROPN
cana-5234	346	19	rich	rich	ADJ
cana-5234	346	20	feature	feature	NOUN
cana-5234	346	21	hierarchies	hierarchy	NOUN
cana-5234	346	22	for	for	ADP
cana-5234	346	23	precise	precise	ADJ
cana-5234	346	24	semantic	semantic	ADJ
cana-5234	346	25	segmentation	segmentation	NOUN
cana-5234	346	26	and	and	CCONJ
cana-5234	346	27	object	object	VERB
cana-5234	346	28	detection	detection	NOUN
cana-5234	346	29	.	.	PUNCT
cana-5234	347	1	available	available	ADJ
cana-5234	347	2	online	online	ADV
cana-5234	347	3	(	(	PUNCT
cana-5234	347	4	accessed	access	VERB
cana-5234	347	5	on	on	ADP
cana-5234	347	6	february	february	PROPN
cana-5234	347	7	10	10	NUM
cana-5234	347	8	,	,	PUNCT
cana-5234	347	9	2020	2020	NUM
cana-5234	347	10	)	)	PUNCT
cana-5234	347	11	at	at	ADP
cana-5234	347	12	https://arxiv.org/abs/1311.2524	https://arxiv.org/abs/1311.2524	PROPN
cana-5234	347	13	..	..	PUNCT
cana-5234	348	1	[	[	X
cana-5234	348	2	30	30	NUM
cana-5234	348	3	]	]	X
cana-5234	348	4	r.	r.	PROPN
cana-5234	348	5	girshick	girshick	PROPN
cana-5234	348	6	.	.	PUNCT
cana-5234	349	1	rapid	rapid	ADJ
cana-5234	349	2	r	r	PROPN
cana-5234	349	3	-	-	PUNCT
cana-5234	349	4	cnn	cnn	NOUN
cana-5234	349	5	.	.	PUNCT
cana-5234	350	1	in	in	ADP
cana-5234	350	2	the	the	DET
cana-5234	350	3	proceedings	proceeding	NOUN
cana-5234	350	4	of	of	ADP
cana-5234	350	5	the	the	DET
cana-5234	350	6	13th-16th	13th-16th	PROPN
cana-5234	350	7	december	december	PROPN
cana-5234	350	8	2015	2015	NUM
cana-5234	350	9	international	international	ADJ
cana-5234	350	10	conference	conference	NOUN
cana-5234	350	11	on	on	ADP
cana-5234	350	12	computer	computer	NOUN
cana-5234	350	13	vision	vision	NOUN
cana-5234	350	14	,	,	PUNCT
cana-5234	350	15	held	hold	VERB
cana-5234	350	16	in	in	ADP
cana-5234	350	17	santiago	santiago	PROPN
cana-5234	350	18	,	,	PUNCT
cana-5234	350	19	mn	mn	PROPN
cana-5234	350	20	,	,	PUNCT
cana-5234	350	21	usa	usa	PROPN
cana-5234	350	22	,	,	PUNCT
cana-5234	350	23	pp	pp	X
cana-5234	350	24	.	.	PUNCT
cana-5234	350	25	1440–1448	1440–1448	NUM
cana-5234	350	26	.	.	PUNCT
cana-5234	351	1	[	[	X
cana-5234	351	2	31	31	NUM
cana-5234	351	3	]	]	X
cana-5234	351	4	faster	fast	ADJ
cana-5234	351	5	r	r	NOUN
cana-5234	351	6	-	-	PUNCT
cana-5234	351	7	cnn	cnn	NOUN
cana-5234	351	8	:	:	PUNCT
cana-5234	351	9	towards	towards	ADP
cana-5234	351	10	real	real	ADJ
cana-5234	351	11	-	-	PUNCT
cana-5234	351	12	time	time	NOUN
cana-5234	351	13	object	object	NOUN
cana-5234	351	14	detection	detection	NOUN
cana-5234	351	15	with	with	ADP
cana-5234	351	16	region	region	NOUN
cana-5234	351	17	proposal	proposal	NOUN
cana-5234	351	18	networks	network	NOUN
cana-5234	351	19	ren	ren	PROPN
cana-5234	351	20	,	,	PUNCT
cana-5234	351	21	s.	s.	PROPN
cana-5234	351	22	,	,	PUNCT
cana-5234	351	23	he	he	PRON
cana-5234	351	24	,	,	PUNCT
cana-5234	351	25	k.	k.	PROPN
cana-5234	351	26	,	,	PUNCT
cana-5234	351	27	girshick	girshick	PROPN
cana-5234	351	28	,	,	PUNCT
cana-5234	351	29	r.	r.	PROPN
cana-5234	351	30	,	,	PUNCT
cana-5234	351	31	and	and	CCONJ
cana-5234	351	32	sun	sun	NOUN
cana-5234	351	33	,	,	PUNCT
cana-5234	351	34	j.	j.	PROPN
cana-5234	351	35	in	in	ADP
cana-5234	351	36	neural	neural	ADJ
cana-5234	351	37	information	information	NOUN
cana-5234	351	38	processing	processing	NOUN
cana-5234	351	39	systems	system	NOUN
cana-5234	351	40	advances	advance	VERB
cana-5234	351	41	28	28	NUM
cana-5234	351	42	;	;	PUNCT
cana-5234	351	43	curran	curran	PROPN
cana-5234	351	44	associates	associates	PROPN
cana-5234	351	45	,	,	PUNCT
cana-5234	351	46	inc	inc	PROPN
cana-5234	351	47	.	.	PROPN
cana-5234	351	48	:	:	PUNCT
cana-5234	351	49	red	red	ADJ
cana-5234	351	50	hook	hook	NOUN
cana-5234	351	51	,	,	PUNCT
cana-5234	351	52	ny	ny	PROPN
cana-5234	351	53	,	,	PUNCT
cana-5234	351	54	usa	usa	PROPN
cana-5234	351	55	,	,	PUNCT
cana-5234	351	56	2015	2015	NUM
cana-5234	351	57	;	;	PUNCT
cana-5234	351	58	cortes	corte	NOUN
cana-5234	351	59	,	,	PUNCT
cana-5234	351	60	c.	c.	PROPN
cana-5234	351	61	,	,	PUNCT
cana-5234	351	62	lawrence	lawrence	PROPN
cana-5234	351	63	,	,	PUNCT
cana-5234	351	64	n.d	n.d	PROPN
cana-5234	351	65	.	.	PROPN
cana-5234	351	66	,	,	PUNCT
cana-5234	351	67	lee	lee	PROPN
cana-5234	351	68	,	,	PUNCT
cana-5234	351	69	d.d	d.d	PROPN
cana-5234	351	70	.	.	PROPN
cana-5234	351	71	,	,	PUNCT
cana-5234	351	72	sugiyama	sugiyama	NOUN
cana-5234	351	73	,	,	PUNCT
cana-5234	351	74	m.	m.	NOUN
cana-5234	351	75	,	,	PUNCT
cana-5234	351	76	garnett	garnett	PROPN
cana-5234	351	77	,	,	PUNCT
cana-5234	351	78	r.	r.	PROPN
cana-5234	351	79	,	,	PUNCT
cana-5234	351	80	eds	eds	PROPN
cana-5234	351	81	.	.	PUNCT
cana-5234	352	1	[	[	X
cana-5234	352	2	32	32	NUM
cana-5234	352	3	]	]	PUNCT
cana-5234	352	4	mask	mask	NOUN
cana-5234	352	5	r	r	PROPN
cana-5234	352	6	-	-	PUNCT
cana-5234	352	7	cnn	cnn	NOUN
cana-5234	352	8	he	he	PRON
cana-5234	352	9	,	,	PUNCT
cana-5234	352	10	k.	k.	PROPN
cana-5234	352	11	;	;	PUNCT
cana-5234	352	12	gkioxari	gkioxari	NOUN
cana-5234	352	13	,	,	PUNCT
cana-5234	352	14	g.	g.	NOUN
cana-5234	352	15	;	;	PUNCT
cana-5234	352	16	dollar	dollar	NOUN
cana-5234	352	17	,	,	PUNCT
cana-5234	352	18	p.	p.	NOUN
cana-5234	352	19	;	;	PUNCT
cana-5234	352	20	girshick	girshick	PROPN
cana-5234	352	21	,	,	PUNCT
cana-5234	352	22	r.	r.	PROPN
cana-5234	352	23	accessible	accessible	ADJ
cana-5234	352	24	via	via	ADP
cana-5234	352	25	the	the	DET
cana-5234	352	26	internet	internet	NOUN
cana-5234	352	27	at	at	ADP
cana-5234	352	28	[	[	X
cana-5234	352	29	https://arxiv.org/abs	https://arxiv.org/abs	X
cana-5234	352	30	/1703.06870	/1703.06870	PUNCT
cana-5234	352	31	(	(	PUNCT
cana-5234	352	32	retrieved	retrieve	VERB
cana-5234	352	33	on	on	ADP
cana-5234	352	34	february	february	PROPN
cana-5234	352	35	10	10	NUM
cana-5234	352	36	,	,	PUNCT
cana-5234	352	37	2020	2020	NUM
cana-5234	352	38	)	)	PUNCT
cana-5234	352	39	]	]	PUNCT
cana-5234	352	40	..	..	PUNCT
cana-5234	353	1	[	[	X
cana-5234	353	2	33	33	NUM
cana-5234	353	3	]	]	X
cana-5234	353	4	sun	sun	NOUN
cana-5234	353	5	,	,	PUNCT
cana-5234	353	6	s.	s.	PROPN
cana-5234	353	7	;	;	PUNCT
cana-5234	353	8	feng	feng	PROPN
cana-5234	353	9	,	,	PUNCT
cana-5234	353	10	w.	w.	PROPN
cana-5234	353	11	;	;	PUNCT
cana-5234	353	12	liu	liu	PROPN
cana-5234	353	13	,	,	PUNCT
cana-5234	353	14	z.	z.	PROPN
cana-5234	353	15	;	;	PUNCT
cana-5234	353	16	shi	shi	PROPN
cana-5234	353	17	,	,	PUNCT
cana-5234	353	18	j.	j.	PROPN
cana-5234	353	19	;	;	PUNCT
cana-5234	353	20	ouyang	ouyang	PROPN
cana-5234	353	21	,	,	PUNCT
cana-5234	353	22	w.	w.	PROPN
cana-5234	353	23	;	;	PUNCT
cana-5234	353	24	chen	chen	PROPN
cana-5234	353	25	,	,	PUNCT
cana-5234	353	26	k.	k.	PROPN
cana-5234	353	27	;	;	PUNCT
cana-5234	353	28	pang	pang	NOUN
cana-5234	353	29	,	,	PUNCT
cana-5234	353	30	j.	j.	PROPN
cana-5234	353	31	;	;	PUNCT
cana-5234	353	32	wang	wang	PROPN
cana-5234	353	33	,	,	PUNCT
cana-5234	353	34	j.	j.	PROPN
cana-5234	353	35	;	;	PUNCT
cana-5234	353	36	xiong	xiong	PROPN
cana-5234	353	37	,	,	PUNCT
cana-5234	353	38	y.	y.	PROPN
cana-5234	353	39	;	;	PUNCT
cana-5234	353	40	li	li	PROPN
cana-5234	353	41	,	,	PUNCT
cana-5234	353	42	x.	x.	PROPN
cana-5234	353	43	;	;	PUNCT
cana-5234	353	44	et	et	PROPN
cana-5234	353	45	al	al	PROPN
cana-5234	353	46	.	.	PROPN
cana-5234	353	47	hybrid	hybrid	ADJ
cana-5234	353	48	task	task	NOUN
cana-5234	353	49	cascade	cascade	NOUN
cana-5234	353	50	for	for	ADP
cana-5234	353	51	instance	instance	NOUN
cana-5234	353	52	division	division	NOUN
cana-5234	353	53	.	.	PUNCT
cana-5234	354	1	accessed	access	VERB
cana-5234	354	2	february	february	PROPN
cana-5234	354	3	19	19	NUM
cana-5234	354	4	,	,	PUNCT
cana-5234	354	5	2020	2020	NUM
cana-5234	354	6	,	,	PUNCT
cana-5234	354	7	from	from	ADP
cana-5234	354	8	https://arxiv.org/abs/1901.07518	https://arxiv.org/abs/1901.07518	NOUN
cana-5234	354	9	.	.	PUNCT
cana-5234	355	1	[	[	X
cana-5234	355	2	34	34	NUM
cana-5234	355	3	]	]	X
cana-5234	355	4	ghamisi	ghamisi	PROPN
cana-5234	355	5	p.	p.	PROPN
cana-5234	355	6	,	,	PUNCT
cana-5234	355	7	rasti	rasti	PROPN
cana-5234	355	8	b.	b.	PROPN
cana-5234	355	9	,	,	PUNCT
cana-5234	355	10	yokoya	yokoya	PROPN
cana-5234	355	11	n.	n.	PROPN
cana-5234	355	12	,	,	PUNCT
cana-5234	355	13	wang	wang	PROPN
cana-5234	355	14	q.m	q.m	PROPN
cana-5234	355	15	.	.	PROPN
cana-5234	355	16	,	,	PUNCT
cana-5234	355	17	hofle	hofle	PROPN
cana-5234	355	18	b.	b.	PROPN
cana-5234	355	19	,	,	PUNCT
cana-5234	355	20	bruzzone	bruzzone	PROPN
cana-5234	355	21	l.	l.	PROPN
cana-5234	355	22	,	,	PUNCT
cana-5234	355	23	bovolo	bovolo	PROPN
cana-5234	355	24	f.	f.	PROPN
cana-5234	355	25	,	,	PUNCT
cana-5234	355	26	chi	chi	PROPN
cana-5234	355	27	m.m	m.m	PROPN
cana-5234	355	28	.	.	PROPN
cana-5234	355	29	,	,	PUNCT
cana-5234	355	30	anders	anders	PROPN
cana-5234	355	31	k.	k.	PROPN
cana-5234	355	32	,	,	PUNCT
cana-5234	355	33	gloaguen	gloaguen	PROPN
cana-5234	355	34	r.	r.	PROPN
cana-5234	355	35	,	,	PUNCT
cana-5234	355	36	et	et	PROPN
cana-5234	355	37	al	al	PROPN
cana-5234	355	38	.	.	PUNCT
cana-5234	356	1	a	a	DET
cana-5234	356	2	thorough	thorough	ADJ
cana-5234	356	3	analysis	analysis	NOUN
cana-5234	356	4	of	of	ADP
cana-5234	356	5	the	the	DET
cana-5234	356	6	state	state	NOUN
cana-5234	356	7	of	of	ADP
cana-5234	356	8	the	the	DET
cana-5234	356	9	art	art	NOUN
cana-5234	356	10	in	in	ADP
cana-5234	356	11	multisource	multisource	ADJ
cana-5234	356	12	and	and	CCONJ
cana-5234	356	13	multitemporal	multitemporal	ADJ
cana-5234	356	14	data	datum	NOUN
cana-5234	356	15	fusion	fusion	NOUN
cana-5234	356	16	in	in	ADP
cana-5234	356	17	covid	covid	PROPN
cana-5234	356	18	.	.	PROPN
cana-5234	356	19	2019	2019	NUM
cana-5234	356	20	,	,	PUNCT
cana-5234	356	21	7:6–39	7:6–39	NUM
cana-5234	356	22	ieee	ieee	NOUN
cana-5234	356	23	geosci	geosci	NOUN
cana-5234	356	24	.	.	PUNCT
cana-5234	357	1	remote	remote	PROPN
cana-5234	357	2	sens	sens	PROPN
cana-5234	357	3	.	.	PROPN
cana-5234	357	4	mag	mag	PROPN
cana-5234	357	5	.	.	PUNCT
cana-5234	358	1	[	[	X
cana-5234	358	2	35	35	NUM
cana-5234	358	3	]	]	X
cana-5234	358	4	covid	covid	PROPN
cana-5234	358	5	body	body	NOUN
cana-5234	358	6	extraction	extraction	NOUN
cana-5234	358	7	from	from	ADP
cana-5234	358	8	extremely	extremely	ADV
cana-5234	358	9	high	high	ADJ
cana-5234	358	10	spatial	spatial	ADJ
cana-5234	358	11	resolution	resolution	NOUN
cana-5234	358	12	covid	covid	PROPN
cana-5234	358	13	data	datum	NOUN
cana-5234	358	14	based	base	VERB
cana-5234	358	15	on	on	ADP
cana-5234	358	16	fully	fully	ADV
cana-5234	358	17	convolutional	convolutional	ADJ
cana-5234	358	18	networks	network	NOUN
cana-5234	358	19	li	li	PROPN
cana-5234	358	20	,	,	PUNCT
cana-5234	358	21	l.w	l.w	PROPN
cana-5234	358	22	.	.	PROPN
cana-5234	358	23	;	;	PUNCT
cana-5234	358	24	yan	yan	PROPN
cana-5234	358	25	,	,	PUNCT
cana-5234	358	26	z.	z.	PROPN
cana-5234	358	27	;	;	PUNCT
cana-5234	358	28	shen	shen	PROPN
cana-5234	358	29	,	,	PUNCT
cana-5234	358	30	q.	q.	PROPN
cana-5234	358	31	;	;	PUNCT
cana-5234	358	32	cheng	cheng	PROPN
cana-5234	358	33	,	,	PUNCT
cana-5234	358	34	g.	g.	PROPN
cana-5234	358	35	;	;	PUNCT
cana-5234	358	36	gao	gao	PROPN
cana-5234	358	37	,	,	PUNCT
cana-5234	358	38	l.r	l.r	PROPN
cana-5234	358	39	.	.	PROPN
cana-5234	358	40	;	;	PUNCT
cana-5234	358	41	zhang	zhang	PROPN
cana-5234	358	42	,	,	PUNCT
cana-5234	358	43	b.	b.	PROPN
cana-5234	358	44	2019	2019	NUM
cana-5234	358	45	;	;	PUNCT
cana-5234	358	46	remote	remote	ADJ
cana-5234	358	47	sens	sen	NOUN
cana-5234	358	48	.	.	PROPN
cana-5234	358	49	11	11	NUM
cana-5234	358	50	,	,	PUNCT
cana-5234	358	51	1162	1162	NUM
cana-5234	358	52	.	.	PUNCT