id	sid	tid	token	lemma	pos
cana-1817	1	1	communications	communication	NOUN
cana-1817	1	2	on	on	ADP
cana-1817	1	3	applied	apply	VERB
cana-1817	1	4	nonlinear	nonlinear	ADJ
cana-1817	1	5	analysis	analysis	NOUN
cana-1817	1	6	issn	issn	NOUN
cana-1817	1	7	:	:	PUNCT
cana-1817	1	8	1074	1074	NUM
cana-1817	1	9	-	-	PUNCT
cana-1817	1	10	133x	133x	NUM
cana-1817	1	11	vol	vol	NOUN
cana-1817	1	12	32	32	NUM
cana-1817	1	13	no	no	NOUN
cana-1817	1	14	.	.	NOUN
cana-1817	1	15	2	2	NUM
cana-1817	1	16	(	(	PUNCT
cana-1817	1	17	2025	2025	NUM
cana-1817	1	18	)	)	PUNCT
cana-1817	1	19	561	561	NUM
cana-1817	1	20	a	a	DET
cana-1817	1	21	two	two	NUM
cana-1817	1	22	-	-	PUNCT
cana-1817	1	23	phase	phase	NOUN
cana-1817	1	24	methodology	methodology	NOUN
cana-1817	1	25	leveraging	leverage	VERB
cana-1817	1	26	x	x	NOUN
cana-1817	1	27	-	-	NOUN
cana-1817	1	28	densenet	densenet	NOUN
cana-1817	1	29	for	for	ADP
cana-1817	1	30	multi	multi	ADJ
cana-1817	1	31	-	-	ADJ
cana-1817	1	32	organ	organ	ADJ
cana-1817	1	33	segmentation	segmentation	NOUN
cana-1817	1	34	in	in	ADP
cana-1817	1	35	abdominal	abdominal	ADJ
cana-1817	1	36	ct	ct	PROPN
cana-1817	1	37	scans	scan	NOUN
cana-1817	1	38	harinder	harinder	NOUN
cana-1817	1	39	kaur1	kaur1	PROPN
cana-1817	1	40	,	,	PUNCT
cana-1817	1	41	navjot	navjot	PROPN
cana-1817	1	42	kaur2	kaur2	PROPN
cana-1817	1	43	,	,	PUNCT
cana-1817	1	44	nirvair	nirvair	VERB
cana-1817	1	45	neeru3	neeru3	ADJ
cana-1817	1	46	1research	1research	NUM
cana-1817	1	47	scholar	scholar	NOUN
cana-1817	1	48	,	,	PUNCT
cana-1817	1	49	2,3assistant	2,3assistant	PROPN
cana-1817	1	50	professor	professor	NOUN
cana-1817	1	51	department	department	NOUN
cana-1817	1	52	of	of	ADP
cana-1817	1	53	computer	computer	NOUN
cana-1817	1	54	science	science	NOUN
cana-1817	1	55	and	and	CCONJ
cana-1817	1	56	engineering	engineering	NOUN
cana-1817	1	57	,	,	PUNCT
cana-1817	1	58	punjabi	punjabi	PROPN
cana-1817	1	59	university	university	NOUN
cana-1817	1	60	patiala	patiala	NOUN
cana-1817	1	61	,	,	PUNCT
cana-1817	1	62	147002	147002	NUM
cana-1817	1	63	punjab	punjab	PROPN
cana-1817	1	64	,	,	PUNCT
cana-1817	1	65	india	india	PROPN
cana-1817	1	66	narain1293@gmail.com1	narain1293@gmail.com1	PROPN
cana-1817	1	67	,	,	PUNCT
cana-1817	1	68	navjot@pbi.ac.in2	navjot@pbi.ac.in2	PROPN
cana-1817	1	69	,	,	PUNCT
cana-1817	1	70	nirvair.ce@pbi.ac.in3	nirvair.ce@pbi.ac.in3	NOUN
cana-1817	1	71	article	article	NOUN
cana-1817	1	72	history	history	NOUN
cana-1817	1	73	:	:	PUNCT
cana-1817	1	74	received	receive	VERB
cana-1817	1	75	:	:	PUNCT
cana-1817	1	76	06	06	NUM
cana-1817	1	77	-	-	SYM
cana-1817	1	78	08	08	NUM
cana-1817	1	79	-	-	PUNCT
cana-1817	1	80	2024	2024	NUM
cana-1817	1	81	revised	revise	VERB
cana-1817	1	82	:	:	PUNCT
cana-1817	1	83	16	16	NUM
cana-1817	1	84	-	-	SYM
cana-1817	1	85	09	09	NUM
cana-1817	1	86	-	-	PUNCT
cana-1817	1	87	2024	2024	NUM
cana-1817	1	88	accepted	accept	VERB
cana-1817	1	89	:	:	PUNCT
cana-1817	1	90	24	24	NUM
cana-1817	1	91	-	-	PUNCT
cana-1817	1	92	09	09	NUM
cana-1817	1	93	-	-	PUNCT
cana-1817	1	94	2024	2024	NUM
cana-1817	1	95	abstract	abstract	NOUN
cana-1817	1	96	:	:	PUNCT
cana-1817	1	97	introduction	introduction	NOUN
cana-1817	1	98	:	:	PUNCT
cana-1817	1	99	multi	multi	ADJ
cana-1817	1	100	organ	organ	NOUN
cana-1817	1	101	segmentation	segmentation	NOUN
cana-1817	1	102	(	(	PUNCT
cana-1817	1	103	mos	mos	NOUN
cana-1817	1	104	)	)	PUNCT
cana-1817	1	105	is	be	AUX
cana-1817	1	106	crucial	crucial	ADJ
cana-1817	1	107	for	for	ADP
cana-1817	1	108	various	various	ADJ
cana-1817	1	109	medical	medical	ADJ
cana-1817	1	110	applications	application	NOUN
cana-1817	1	111	such	such	ADJ
cana-1817	1	112	as	as	ADP
cana-1817	1	113	disease	disease	NOUN
cana-1817	1	114	diagnosis	diagnosis	NOUN
cana-1817	1	115	,	,	PUNCT
cana-1817	1	116	treatment	treatment	NOUN
cana-1817	1	117	planning	planning	NOUN
cana-1817	1	118	,	,	PUNCT
cana-1817	1	119	and	and	CCONJ
cana-1817	1	120	surgery	surgery	NOUN
cana-1817	1	121	.	.	PUNCT
cana-1817	2	1	manual	manual	ADJ
cana-1817	2	2	segmentation	segmentation	NOUN
cana-1817	2	3	of	of	ADP
cana-1817	2	4	ct	ct	NUM
cana-1817	2	5	organs	organ	NOUN
cana-1817	2	6	is	be	AUX
cana-1817	2	7	inefficient	inefficient	ADJ
cana-1817	2	8	,	,	PUNCT
cana-1817	2	9	laborious	laborious	ADJ
cana-1817	2	10	and	and	CCONJ
cana-1817	2	11	time	time	NOUN
cana-1817	2	12	-	-	PUNCT
cana-1817	2	13	consuming	consume	VERB
cana-1817	2	14	,	,	PUNCT
cana-1817	2	15	necessitating	necessitate	VERB
cana-1817	2	16	the	the	DET
cana-1817	2	17	development	development	NOUN
cana-1817	2	18	of	of	ADP
cana-1817	2	19	automated	automate	VERB
cana-1817	2	20	techniques	technique	NOUN
cana-1817	2	21	.	.	PUNCT
cana-1817	3	1	to	to	PART
cana-1817	3	2	address	address	VERB
cana-1817	3	3	these	these	DET
cana-1817	3	4	challenges	challenge	NOUN
cana-1817	3	5	,	,	PUNCT
cana-1817	3	6	automatic	automatic	ADJ
cana-1817	3	7	techniques	technique	NOUN
cana-1817	3	8	based	base	VERB
cana-1817	3	9	on	on	ADP
cana-1817	3	10	deep	deep	ADJ
cana-1817	3	11	learning	learning	NOUN
cana-1817	3	12	models	model	NOUN
cana-1817	3	13	are	be	AUX
cana-1817	3	14	explored	explore	VERB
cana-1817	3	15	in	in	ADP
cana-1817	3	16	this	this	DET
cana-1817	3	17	field	field	NOUN
cana-1817	3	18	.	.	PUNCT
cana-1817	4	1	these	these	DET
cana-1817	4	2	techniques	technique	NOUN
cana-1817	4	3	require	require	VERB
cana-1817	4	4	improvements	improvement	NOUN
cana-1817	4	5	to	to	PART
cana-1817	4	6	deal	deal	VERB
cana-1817	4	7	with	with	ADP
cana-1817	4	8	patient	patient	NOUN
cana-1817	4	9	-	-	PUNCT
cana-1817	4	10	to	to	ADP
cana-1817	4	11	-	-	PUNCT
cana-1817	4	12	patient	patient	NOUN
cana-1817	4	13	variability	variability	NOUN
cana-1817	4	14	in	in	ADP
cana-1817	4	15	organ	organ	NOUN
cana-1817	4	16	size	size	NOUN
cana-1817	4	17	,	,	PUNCT
cana-1817	4	18	location	location	NOUN
cana-1817	4	19	,	,	PUNCT
cana-1817	4	20	and	and	CCONJ
cana-1817	4	21	shape	shape	NOUN
cana-1817	4	22	.	.	PUNCT
cana-1817	5	1	despite	despite	SCONJ
cana-1817	5	2	the	the	DET
cana-1817	5	3	transformative	transformative	ADJ
cana-1817	5	4	potential	potential	NOUN
cana-1817	5	5	of	of	ADP
cana-1817	5	6	deep	deep	ADJ
cana-1817	5	7	learning	learning	NOUN
cana-1817	5	8	techniques	technique	NOUN
cana-1817	5	9	,	,	PUNCT
cana-1817	5	10	research	research	NOUN
cana-1817	5	11	studies	study	NOUN
cana-1817	5	12	often	often	ADV
cana-1817	5	13	inadequately	inadequately	ADV
cana-1817	5	14	address	address	VERB
cana-1817	5	15	low	low	ADJ
cana-1817	5	16	contrast	contrast	NOUN
cana-1817	5	17	and	and	CCONJ
cana-1817	5	18	overlapping	overlap	VERB
cana-1817	5	19	structures	structure	NOUN
cana-1817	5	20	within	within	ADP
cana-1817	5	21	ct	ct	PROPN
cana-1817	5	22	scans	scan	NOUN
cana-1817	5	23	.	.	PUNCT
cana-1817	6	1	this	this	DET
cana-1817	6	2	paper	paper	NOUN
cana-1817	6	3	proposes	propose	VERB
cana-1817	6	4	a	a	DET
cana-1817	6	5	novel	novel	ADJ
cana-1817	6	6	two	two	NUM
cana-1817	6	7	phase	phase	NOUN
cana-1817	6	8	methodology	methodology	NOUN
cana-1817	6	9	to	to	PART
cana-1817	6	10	integrate	integrate	VERB
cana-1817	6	11	deep	deep	ADJ
cana-1817	6	12	learning	learning	NOUN
cana-1817	6	13	models	model	NOUN
cana-1817	6	14	and	and	CCONJ
cana-1817	6	15	image	image	NOUN
cana-1817	6	16	enhancement	enhancement	NOUN
cana-1817	6	17	strategies	strategy	NOUN
cana-1817	6	18	.	.	PUNCT
cana-1817	7	1	methods	method	NOUN
cana-1817	7	2	:	:	PUNCT
cana-1817	7	3	our	our	PRON
cana-1817	7	4	framework	framework	NOUN
cana-1817	7	5	contributes	contribute	VERB
cana-1817	7	6	in	in	ADP
cana-1817	7	7	two	two	NUM
cana-1817	7	8	stages	stage	NOUN
cana-1817	7	9	named	name	VERB
cana-1817	7	10	(	(	PUNCT
cana-1817	7	11	a	a	DET
cana-1817	7	12	)	)	PUNCT
cana-1817	7	13	optimized	optimize	VERB
cana-1817	7	14	contrast	contrast	NOUN
cana-1817	7	15	limited	limit	VERB
cana-1817	7	16	adaptive	adaptive	ADJ
cana-1817	7	17	histogram	histogram	NOUN
cana-1817	7	18	equalization	equalization	NOUN
cana-1817	7	19	-	-	PUNCT
cana-1817	7	20	weighted	weight	VERB
cana-1817	7	21	grey	grey	PROPN
cana-1817	7	22	wolf	wolf	PROPN
cana-1817	7	23	optimization	optimization	NOUN
cana-1817	7	24	(	(	PUNCT
cana-1817	7	25	opticlahe	opticlahe	NOUN
cana-1817	7	26	-	-	PUNCT
cana-1817	7	27	weighted	weight	VERB
cana-1817	7	28	gwo	gwo	NOUN
cana-1817	7	29	)	)	PUNCT
cana-1817	7	30	,	,	PUNCT
cana-1817	7	31	where	where	SCONJ
cana-1817	7	32	the	the	DET
cana-1817	7	33	organs	organ	NOUN
cana-1817	7	34	contrast	contrast	NOUN
cana-1817	7	35	is	be	AUX
cana-1817	7	36	enhanced	enhance	VERB
cana-1817	7	37	by	by	ADP
cana-1817	7	38	employing	employ	VERB
cana-1817	7	39	weighted	weight	VERB
cana-1817	7	40	gwo	gwo	PROPN
cana-1817	7	41	for	for	ADP
cana-1817	7	42	clahe	clahe	PROPN
cana-1817	7	43	clip	clip	NOUN
cana-1817	7	44	limit	limit	NOUN
cana-1817	7	45	selection	selection	NOUN
cana-1817	7	46	(	(	PUNCT
cana-1817	7	47	b	b	NOUN
cana-1817	7	48	)	)	PUNCT
cana-1817	7	49	x	x	ADJ
cana-1817	7	50	-	-	NOUN
cana-1817	7	51	densenet	densenet	NOUN
cana-1817	7	52	architecture	architecture	NOUN
cana-1817	7	53	,	,	PUNCT
cana-1817	7	54	where	where	SCONJ
cana-1817	7	55	segmented	segment	VERB
cana-1817	7	56	regions	region	NOUN
cana-1817	7	57	of	of	ADP
cana-1817	7	58	interest	interest	NOUN
cana-1817	7	59	are	be	AUX
cana-1817	7	60	produced	produce	VERB
cana-1817	7	61	with	with	ADP
cana-1817	7	62	x	x	ADJ
cana-1817	7	63	-	-	NOUN
cana-1817	7	64	densenet	densenet	NOUN
cana-1817	7	65	model	model	NOUN
cana-1817	7	66	from	from	ADP
cana-1817	7	67	the	the	DET
cana-1817	7	68	enhanced	enhanced	ADJ
cana-1817	7	69	ct	ct	PROPN
cana-1817	7	70	.	.	PUNCT
cana-1817	7	71	results	result	NOUN
cana-1817	7	72	:	:	PUNCT
cana-1817	7	73	for	for	SCONJ
cana-1817	7	74	validation	validation	NOUN
cana-1817	7	75	of	of	ADP
cana-1817	7	76	proposed	propose	VERB
cana-1817	7	77	multi	multi	ADJ
cana-1817	7	78	organ	organ	NOUN
cana-1817	7	79	segmentation	segmentation	NOUN
cana-1817	7	80	(	(	PUNCT
cana-1817	7	81	pmos	pmos	ADJ
cana-1817	7	82	)	)	PUNCT
cana-1817	7	83	technique	technique	NOUN
cana-1817	7	84	,	,	PUNCT
cana-1817	7	85	experimentation	experimentation	NOUN
cana-1817	7	86	and	and	CCONJ
cana-1817	7	87	comparative	comparative	ADJ
cana-1817	7	88	analysis	analysis	NOUN
cana-1817	7	89	with	with	ADP
cana-1817	7	90	existing	exist	VERB
cana-1817	7	91	models	model	NOUN
cana-1817	7	92	has	have	AUX
cana-1817	7	93	been	be	AUX
cana-1817	7	94	conducted	conduct	VERB
cana-1817	7	95	on	on	ADP
cana-1817	7	96	flare	flare	NOUN
cana-1817	7	97	22	22	NUM
cana-1817	7	98	challenge	challenge	NOUN
cana-1817	7	99	dataset	dataset	NOUN
cana-1817	7	100	.	.	PUNCT
cana-1817	8	1	the	the	DET
cana-1817	8	2	dice	dice	NOUN
cana-1817	8	3	score	score	NOUN
cana-1817	8	4	(	(	PUNCT
cana-1817	8	5	dsc	dsc	NOUN
cana-1817	8	6	)	)	PUNCT
cana-1817	8	7	of	of	ADP
cana-1817	8	8	liver	liver	NOUN
cana-1817	8	9	,	,	PUNCT
cana-1817	8	10	aorta	aorta	NOUN
cana-1817	8	11	and	and	CCONJ
cana-1817	8	12	spleen	spleen	VERB
cana-1817	8	13	for	for	ADP
cana-1817	8	14	proposed	propose	VERB
cana-1817	8	15	multi	multi	ADJ
cana-1817	8	16	organ	organ	NOUN
cana-1817	8	17	segmentation	segmentation	NOUN
cana-1817	8	18	(	(	PUNCT
cana-1817	8	19	pmos	pmos	NOUN
cana-1817	8	20	)	)	PUNCT
cana-1817	8	21	approach	approach	NOUN
cana-1817	8	22	is	be	AUX
cana-1817	8	23	90.4	90.4	NUM
cana-1817	8	24	%	%	NOUN
cana-1817	8	25	,	,	PUNCT
cana-1817	8	26	99.38	99.38	NUM
cana-1817	8	27	%	%	NOUN
cana-1817	8	28	and	and	CCONJ
cana-1817	8	29	98.33	98.33	NUM
cana-1817	8	30	%	%	NOUN
cana-1817	8	31	respectively	respectively	ADV
cana-1817	8	32	.	.	PUNCT
cana-1817	9	1	the	the	DET
cana-1817	9	2	mean	mean	NOUN
cana-1817	9	3	of	of	ADP
cana-1817	9	4	precision	precision	NOUN
cana-1817	9	5	(	(	PUNCT
cana-1817	9	6	pre	pre	ADJ
cana-1817	9	7	)	)	PUNCT
cana-1817	9	8	,	,	PUNCT
cana-1817	9	9	accuracy	accuracy	NOUN
cana-1817	9	10	(	(	PUNCT
cana-1817	9	11	acc	acc	PROPN
cana-1817	9	12	)	)	PUNCT
cana-1817	9	13	,	,	PUNCT
cana-1817	9	14	f	f	X
cana-1817	9	15	-	-	PUNCT
cana-1817	9	16	score	score	NOUN
cana-1817	9	17	and	and	CCONJ
cana-1817	9	18	dsc	dsc	NOUN
cana-1817	9	19	of	of	ADP
cana-1817	9	20	the	the	DET
cana-1817	9	21	proposed	propose	VERB
cana-1817	9	22	approach	approach	NOUN
cana-1817	9	23	are	be	AUX
cana-1817	9	24	95.05	95.05	NUM
cana-1817	9	25	%	%	NOUN
cana-1817	9	26	,	,	PUNCT
cana-1817	9	27	95.55	95.55	NUM
cana-1817	9	28	%	%	NOUN
cana-1817	9	29	,	,	PUNCT
cana-1817	9	30	95.29	95.29	NUM
cana-1817	9	31	%	%	NOUN
cana-1817	9	32	and	and	CCONJ
cana-1817	9	33	96.06	96.06	NUM
cana-1817	9	34	%	%	NOUN
cana-1817	9	35	respectively	respectively	ADV
cana-1817	9	36	.	.	PUNCT
cana-1817	10	1	keywords	keyword	NOUN
cana-1817	10	2	:	:	PUNCT
cana-1817	10	3	multiorgan	multiorgan	PROPN
cana-1817	10	4	segmentation	segmentation	PROPN
cana-1817	10	5	(	(	PUNCT
cana-1817	10	6	mos	mos	NOUN
cana-1817	10	7	)	)	PUNCT
cana-1817	10	8	,	,	PUNCT
cana-1817	10	9	optimized	optimize	VERB
cana-1817	10	10	contrast	contrast	NOUN
cana-1817	10	11	limited	limit	VERB
cana-1817	10	12	adaptive	adaptive	ADJ
cana-1817	10	13	histogram	histogram	NOUN
cana-1817	10	14	equalization	equalization	NOUN
cana-1817	10	15	(	(	PUNCT
cana-1817	10	16	opticlahe	opticlahe	NOUN
cana-1817	10	17	)	)	PUNCT
cana-1817	10	18	,	,	PUNCT
cana-1817	10	19	grey	grey	PROPN
cana-1817	10	20	wolf	wolf	PROPN
cana-1817	10	21	optimization	optimization	NOUN
cana-1817	10	22	(	(	PUNCT
cana-1817	10	23	gwo	gwo	PROPN
cana-1817	10	24	)	)	PUNCT
cana-1817	10	25	,	,	PUNCT
cana-1817	10	26	x	x	X
cana-1817	10	27	-	-	NOUN
cana-1817	10	28	densenet	densenet	NOUN
cana-1817	10	29	1	1	NUM
cana-1817	10	30	.	.	PUNCT
cana-1817	11	1	introduction	introduction	NOUN
cana-1817	11	2	accurate	accurate	ADJ
cana-1817	11	3	organ	organ	NOUN
cana-1817	11	4	segmentation	segmentation	NOUN
cana-1817	11	5	in	in	ADP
cana-1817	11	6	medical	medical	ADJ
cana-1817	11	7	imaging	imaging	NOUN
cana-1817	11	8	plays	play	VERB
cana-1817	11	9	a	a	DET
cana-1817	11	10	pivotal	pivotal	ADJ
cana-1817	11	11	role	role	NOUN
cana-1817	11	12	in	in	ADP
cana-1817	11	13	computer	computer	NOUN
cana-1817	11	14	aided	aid	VERB
cana-1817	11	15	diagnostic	diagnostic	ADJ
cana-1817	11	16	(	(	PUNCT
cana-1817	11	17	cad	cad	NOUN
cana-1817	11	18	)	)	PUNCT
cana-1817	11	19	systems	system	NOUN
cana-1817	11	20	,	,	PUNCT
cana-1817	11	21	clinical	clinical	ADJ
cana-1817	11	22	practices	practice	NOUN
cana-1817	11	23	and	and	CCONJ
cana-1817	11	24	treatment	treatment	NOUN
cana-1817	11	25	planning	planning	NOUN
cana-1817	11	26	[	[	X
cana-1817	11	27	1	1	NUM
cana-1817	11	28	]	]	PUNCT
cana-1817	11	29	.	.	PUNCT
cana-1817	12	1	this	this	PRON
cana-1817	12	2	enables	enable	VERB
cana-1817	12	3	radiologists	radiologist	NOUN
cana-1817	12	4	to	to	PART
cana-1817	12	5	extract	extract	VERB
cana-1817	12	6	information	information	NOUN
cana-1817	12	7	such	such	ADJ
cana-1817	12	8	as	as	ADP
cana-1817	12	9	area	area	NOUN
cana-1817	12	10	,	,	PUNCT
cana-1817	12	11	size	size	NOUN
cana-1817	12	12	,	,	PUNCT
cana-1817	12	13	shape	shape	NOUN
cana-1817	12	14	,	,	PUNCT
cana-1817	12	15	location	location	NOUN
cana-1817	12	16	and	and	CCONJ
cana-1817	12	17	spatial	spatial	ADJ
cana-1817	12	18	relationships	relationship	NOUN
cana-1817	12	19	of	of	ADP
cana-1817	12	20	organs	organ	NOUN
cana-1817	12	21	.	.	PUNCT
cana-1817	13	1	the	the	DET
cana-1817	13	2	detailed	detailed	ADJ
cana-1817	13	3	anatomical	anatomical	ADJ
cana-1817	13	4	structure	structure	NOUN
cana-1817	13	5	data	datum	NOUN
cana-1817	13	6	produced	produce	VERB
cana-1817	13	7	from	from	ADP
cana-1817	13	8	segmented	segment	VERB
cana-1817	13	9	images	image	NOUN
cana-1817	13	10	facilitates	facilitate	VERB
cana-1817	13	11	personalized	personalized	ADJ
cana-1817	13	12	treatments	treatment	NOUN
cana-1817	13	13	based	base	VERB
cana-1817	13	14	on	on	ADP
cana-1817	13	15	patient	patient	NOUN
cana-1817	13	16	's	's	PART
cana-1817	13	17	anatomy	anatomy	NOUN
cana-1817	13	18	.	.	PUNCT
cana-1817	14	1	however	however	ADV
cana-1817	14	2	,	,	PUNCT
cana-1817	14	3	the	the	DET
cana-1817	14	4	labor	labor	NOUN
cana-1817	14	5	-	-	PUNCT
cana-1817	14	6	intensive	intensive	ADJ
cana-1817	14	7	and	and	CCONJ
cana-1817	14	8	impractical	impractical	ADJ
cana-1817	14	9	manual	manual	ADJ
cana-1817	14	10	segmentation	segmentation	NOUN
cana-1817	14	11	necessitates	necessitate	VERB
cana-1817	14	12	the	the	DET
cana-1817	14	13	exploration	exploration	NOUN
cana-1817	14	14	of	of	ADP
cana-1817	14	15	automated	automate	VERB
cana-1817	14	16	techniques	technique	NOUN
cana-1817	14	17	.	.	PUNCT
cana-1817	15	1	this	this	PRON
cana-1817	15	2	not	not	PART
cana-1817	15	3	only	only	ADV
cana-1817	15	4	significantly	significantly	ADV
cana-1817	15	5	increases	increase	VERB
cana-1817	15	6	efficiency	efficiency	NOUN
cana-1817	15	7	but	but	CCONJ
cana-1817	15	8	also	also	ADV
cana-1817	15	9	minimizes	minimize	VERB
cana-1817	15	10	the	the	DET
cana-1817	15	11	susceptibility	susceptibility	NOUN
cana-1817	15	12	to	to	ADP
cana-1817	15	13	errors	error	NOUN
cana-1817	15	14	,	,	PUNCT
cana-1817	15	15	paving	pave	VERB
cana-1817	15	16	the	the	DET
cana-1817	15	17	way	way	NOUN
cana-1817	15	18	for	for	ADP
cana-1817	15	19	more	more	ADV
cana-1817	15	20	accurate	accurate	ADJ
cana-1817	15	21	and	and	CCONJ
cana-1817	15	22	reliable	reliable	ADJ
cana-1817	15	23	organ	organ	NOUN
cana-1817	15	24	segmentation	segmentation	NOUN
cana-1817	15	25	.	.	PUNCT
cana-1817	16	1	the	the	DET
cana-1817	16	2	automated	automate	VERB
cana-1817	16	3	methods	method	NOUN
cana-1817	16	4	in	in	ADP
cana-1817	16	5	this	this	DET
cana-1817	16	6	field	field	NOUN
cana-1817	16	7	has	have	AUX
cana-1817	16	8	witnessed	witness	VERB
cana-1817	16	9	significant	significant	ADJ
cana-1817	16	10	evolution	evolution	NOUN
cana-1817	16	11	,	,	PUNCT
cana-1817	16	12	transitioning	transition	VERB
cana-1817	16	13	from	from	ADP
cana-1817	16	14	traditional	traditional	ADJ
cana-1817	16	15	techniques	technique	NOUN
cana-1817	16	16	like	like	ADP
cana-1817	16	17	atlas	atlas	PROPN
cana-1817	16	18	-	-	PUNCT
cana-1817	16	19	based	base	VERB
cana-1817	16	20	methods	method	NOUN
cana-1817	16	21	,	,	PUNCT
cana-1817	16	22	statistical	statistical	ADJ
cana-1817	16	23	shape	shape	NOUN
cana-1817	16	24	models	model	NOUN
cana-1817	16	25	,	,	PUNCT
cana-1817	16	26	and	and	CCONJ
cana-1817	16	27	graph	graph	NOUN
cana-1817	16	28	cut	cut	VERB
cana-1817	16	29	[	[	X
cana-1817	16	30	2	2	NUM
cana-1817	16	31	]	]	PUNCT
cana-1817	16	32	to	to	ADP
cana-1817	16	33	the	the	DET
cana-1817	16	34	dominance	dominance	NOUN
cana-1817	16	35	of	of	ADP
cana-1817	16	36	deep	deep	ADJ
cana-1817	16	37	learning	learning	NOUN
cana-1817	16	38	models	model	NOUN
cana-1817	16	39	.	.	PUNCT
cana-1817	17	1	fully	fully	ADV
cana-1817	17	2	convolutional	convolutional	ADJ
cana-1817	17	3	neural	neural	ADJ
cana-1817	17	4	networks	network	NOUN
cana-1817	17	5	(	(	PUNCT
cana-1817	17	6	fcnns	fcnn	NOUN
cana-1817	17	7	)	)	PUNCT
cana-1817	17	8	like	like	ADP
cana-1817	17	9	u	u	NOUN
cana-1817	17	10	-	-	NOUN
cana-1817	17	11	net	net	ADJ
cana-1817	17	12	and	and	CCONJ
cana-1817	17	13	v	v	NOUN
cana-1817	17	14	-	-	PUNCT
cana-1817	17	15	net	net	NOUN
cana-1817	17	16	have	have	AUX
cana-1817	17	17	played	play	VERB
cana-1817	17	18	a	a	DET
cana-1817	17	19	crucial	crucial	ADJ
cana-1817	17	20	role	role	NOUN
cana-1817	17	21	,	,	PUNCT
cana-1817	17	22	with	with	ADP
cana-1817	17	23	their	their	PRON
cana-1817	17	24	encoder	encoder	NOUN
cana-1817	17	25	-	-	PUNCT
cana-1817	17	26	decoder	decoder	NOUN
cana-1817	17	27	architecture	architecture	NOUN
cana-1817	17	28	effectively	effectively	ADV
cana-1817	17	29	capturing	capture	VERB
cana-1817	17	30	global	global	ADJ
cana-1817	17	31	mailto:narain1293@gmail.com	mailto:narain1293@gmail.com	NOUN
cana-1817	17	32	mailto:navjot@pbi.ac.in	mailto:navjot@pbi.ac.in	NOUN
cana-1817	17	33	communications	communication	NOUN
cana-1817	17	34	on	on	ADP
cana-1817	17	35	applied	apply	VERB
cana-1817	17	36	nonlinear	nonlinear	ADJ
cana-1817	17	37	analysis	analysis	NOUN
cana-1817	17	38	issn	issn	NOUN
cana-1817	17	39	:	:	PUNCT
cana-1817	17	40	1074	1074	NUM
cana-1817	17	41	-	-	PUNCT
cana-1817	17	42	133x	133x	NUM
cana-1817	17	43	vol	vol	NOUN
cana-1817	17	44	32	32	NUM
cana-1817	17	45	no	no	NOUN
cana-1817	17	46	.	.	NOUN
cana-1817	17	47	2	2	NUM
cana-1817	17	48	(	(	PUNCT
cana-1817	17	49	2025	2025	NUM
cana-1817	17	50	)	)	PUNCT
cana-1817	17	51	562	562	NUM
cana-1817	17	52	context	context	NOUN
cana-1817	17	53	and	and	CCONJ
cana-1817	17	54	high	high	ADJ
cana-1817	17	55	-	-	PUNCT
cana-1817	17	56	level	level	NOUN
cana-1817	17	57	features	feature	NOUN
cana-1817	17	58	[	[	X
cana-1817	17	59	3	3	NUM
cana-1817	17	60	]	]	PUNCT
cana-1817	17	61	,	,	PUNCT
cana-1817	17	62	[	[	X
cana-1817	17	63	4	4	NUM
cana-1817	17	64	]	]	PUNCT
cana-1817	17	65	.	.	PUNCT
cana-1817	18	1	furthermore	furthermore	ADV
cana-1817	18	2	,	,	PUNCT
cana-1817	18	3	transformer	transformer	NOUN
cana-1817	18	4	architectures	architecture	NOUN
cana-1817	18	5	highlight	highlight	VERB
cana-1817	18	6	the	the	DET
cana-1817	18	7	ongoing	ongoing	ADJ
cana-1817	18	8	efforts	effort	NOUN
cana-1817	18	9	to	to	PART
cana-1817	18	10	enhance	enhance	VERB
cana-1817	18	11	model	model	NOUN
cana-1817	18	12	generalization	generalization	NOUN
cana-1817	18	13	and	and	CCONJ
cana-1817	18	14	context	context	NOUN
cana-1817	18	15	understanding	understanding	NOUN
cana-1817	18	16	.	.	PUNCT
cana-1817	19	1	despite	despite	SCONJ
cana-1817	19	2	significant	significant	ADJ
cana-1817	19	3	advancement	advancement	NOUN
cana-1817	19	4	in	in	ADP
cana-1817	19	5	deep	deep	ADJ
cana-1817	19	6	learning	learning	NOUN
cana-1817	19	7	models	model	NOUN
cana-1817	19	8	,	,	PUNCT
cana-1817	19	9	it	it	PRON
cana-1817	19	10	has	have	AUX
cana-1817	19	11	been	be	AUX
cana-1817	19	12	analyzed	analyze	VERB
cana-1817	19	13	that	that	SCONJ
cana-1817	19	14	two	two	NUM
cana-1817	19	15	major	major	ADJ
cana-1817	19	16	challenges	challenge	NOUN
cana-1817	19	17	persists	persist	VERB
cana-1817	19	18	in	in	ADP
cana-1817	19	19	this	this	DET
cana-1817	19	20	field	field	NOUN
cana-1817	19	21	.	.	PUNCT
cana-1817	20	1	firstly	firstly	ADV
cana-1817	20	2	,	,	PUNCT
cana-1817	20	3	low	low	ADJ
cana-1817	20	4	contrast	contrast	NOUN
cana-1817	20	5	,	,	PUNCT
cana-1817	20	6	poor	poor	ADJ
cana-1817	20	7	image	image	NOUN
cana-1817	20	8	quality	quality	NOUN
cana-1817	20	9	,	,	PUNCT
cana-1817	20	10	overlapping	overlap	VERB
cana-1817	20	11	objects	object	NOUN
cana-1817	20	12	of	of	ADP
cana-1817	20	13	ct	ct	PROPN
cana-1817	20	14	scans	scan	NOUN
cana-1817	20	15	makes	make	VERB
cana-1817	20	16	it	it	PRON
cana-1817	20	17	problematic	problematic	ADJ
cana-1817	20	18	to	to	ADP
cana-1817	20	19	segment	segment	NOUN
cana-1817	20	20	organs	organ	NOUN
cana-1817	20	21	and	and	CCONJ
cana-1817	20	22	surrounding	surround	VERB
cana-1817	20	23	tissues	tissue	NOUN
cana-1817	20	24	,	,	PUNCT
cana-1817	20	25	impacting	impact	VERB
cana-1817	20	26	their	their	PRON
cana-1817	20	27	ability	ability	NOUN
cana-1817	20	28	to	to	PART
cana-1817	20	29	capture	capture	VERB
cana-1817	20	30	intricate	intricate	ADJ
cana-1817	20	31	details	detail	NOUN
cana-1817	20	32	.	.	PUNCT
cana-1817	21	1	secondly	secondly	ADV
cana-1817	21	2	,	,	PUNCT
cana-1817	21	3	it	it	PRON
cana-1817	21	4	is	be	AUX
cana-1817	21	5	difficult	difficult	ADJ
cana-1817	21	6	to	to	PART
cana-1817	21	7	detect	detect	VERB
cana-1817	21	8	small	small	ADJ
cana-1817	21	9	organs	organ	NOUN
cana-1817	21	10	which	which	PRON
cana-1817	21	11	lead	lead	VERB
cana-1817	21	12	to	to	ADP
cana-1817	21	13	degradation	degradation	NOUN
cana-1817	21	14	in	in	ADP
cana-1817	21	15	accuracy	accuracy	NOUN
cana-1817	21	16	of	of	ADP
cana-1817	21	17	deep	deep	ADJ
cana-1817	21	18	learning	learning	NOUN
cana-1817	21	19	models	model	NOUN
cana-1817	21	20	.	.	PUNCT
cana-1817	22	1	this	this	DET
cana-1817	22	2	study	study	NOUN
cana-1817	22	3	addresses	address	VERB
cana-1817	22	4	these	these	DET
cana-1817	22	5	limitations	limitation	NOUN
cana-1817	22	6	by	by	ADP
cana-1817	22	7	proposing	propose	VERB
cana-1817	22	8	a	a	DET
cana-1817	22	9	novel	novel	ADJ
cana-1817	22	10	two	two	NUM
cana-1817	22	11	-	-	PUNCT
cana-1817	22	12	phased	phase	VERB
cana-1817	22	13	methodology	methodology	NOUN
cana-1817	22	14	.	.	PUNCT
cana-1817	23	1	each	each	DET
cana-1817	23	2	phase	phase	NOUN
cana-1817	23	3	tackles	tackle	VERB
cana-1817	23	4	a	a	DET
cana-1817	23	5	distinct	distinct	ADJ
cana-1817	23	6	aspect	aspect	NOUN
cana-1817	23	7	of	of	ADP
cana-1817	23	8	the	the	DET
cana-1817	23	9	problem	problem	NOUN
cana-1817	23	10	statement	statement	NOUN
cana-1817	23	11	.	.	PUNCT
cana-1817	24	1	the	the	DET
cana-1817	24	2	first	first	ADJ
cana-1817	24	3	phase	phase	NOUN
cana-1817	24	4	is	be	AUX
cana-1817	24	5	inspired	inspire	VERB
cana-1817	24	6	from	from	ADP
cana-1817	24	7	the	the	DET
cana-1817	24	8	review	review	NOUN
cana-1817	24	9	study	study	NOUN
cana-1817	24	10	[	[	X
cana-1817	24	11	5	5	NUM
cana-1817	24	12	]	]	PUNCT
cana-1817	24	13	,	,	PUNCT
cana-1817	24	14	where	where	SCONJ
cana-1817	24	15	a	a	DET
cana-1817	24	16	variation	variation	NOUN
cana-1817	24	17	of	of	ADP
cana-1817	24	18	clahe	clahe	NOUN
cana-1817	24	19	[	[	X
cana-1817	24	20	6	6	NUM
cana-1817	24	21	]	]	PUNCT
cana-1817	24	22	gave	give	VERB
cana-1817	24	23	optimum	optimum	ADJ
cana-1817	24	24	results	result	NOUN
cana-1817	24	25	.	.	PUNCT
cana-1817	25	1	this	this	DET
cana-1817	25	2	stage	stage	NOUN
cana-1817	25	3	incorporates	incorporate	VERB
cana-1817	25	4	an	an	DET
cana-1817	25	5	optimized	optimize	VERB
cana-1817	25	6	contrast	contrast	NOUN
cana-1817	25	7	limited	limit	VERB
cana-1817	25	8	adaptive	adaptive	ADJ
cana-1817	25	9	histogram	histogram	NOUN
cana-1817	25	10	equalization	equalization	NOUN
cana-1817	25	11	(	(	PUNCT
cana-1817	25	12	opticlahe	opticlahe	NOUN
cana-1817	25	13	)	)	PUNCT
cana-1817	25	14	technique	technique	NOUN
cana-1817	25	15	implemented	implement	VERB
cana-1817	25	16	with	with	ADP
cana-1817	25	17	a	a	DET
cana-1817	25	18	novel	novel	NOUN
cana-1817	25	19	weighted	weight	VERB
cana-1817	25	20	grey	grey	ADJ
cana-1817	25	21	wolf	wolf	PROPN
cana-1817	25	22	optimization	optimization	NOUN
cana-1817	25	23	(	(	PUNCT
cana-1817	25	24	gwo	gwo	NOUN
cana-1817	25	25	)	)	PUNCT
cana-1817	25	26	algorithm	algorithm	NOUN
cana-1817	25	27	,	,	PUNCT
cana-1817	25	28	collectively	collectively	ADV
cana-1817	25	29	referred	refer	VERB
cana-1817	25	30	to	to	ADP
cana-1817	25	31	as	as	ADP
cana-1817	25	32	opticlaheweighted	opticlaheweighte	VERB
cana-1817	25	33	gwo	gwo	NOUN
cana-1817	25	34	[	[	X
cana-1817	25	35	7	7	NUM
cana-1817	25	36	]	]	PUNCT
cana-1817	25	37	.	.	PUNCT
cana-1817	26	1	the	the	DET
cana-1817	26	2	proposed	propose	VERB
cana-1817	26	3	opticlahe	opticlahe	NOUN
cana-1817	26	4	-	-	PUNCT
cana-1817	26	5	weighted	weight	VERB
cana-1817	26	6	gwo	gwo	PROPN
cana-1817	26	7	algorithm	algorithm	PROPN
cana-1817	26	8	dynamically	dynamically	ADV
cana-1817	26	9	selects	select	VERB
cana-1817	26	10	an	an	DET
cana-1817	26	11	optimal	optimal	ADJ
cana-1817	26	12	clip	clip	NOUN
cana-1817	26	13	limit	limit	NOUN
cana-1817	26	14	for	for	ADP
cana-1817	26	15	clahe	clahe	NOUN
cana-1817	26	16	by	by	ADP
cana-1817	26	17	utilizing	utilize	VERB
cana-1817	26	18	weighted	weight	VERB
cana-1817	26	19	gwo	gwo	PROPN
cana-1817	26	20	,	,	PUNCT
cana-1817	26	21	with	with	ADP
cana-1817	26	22	the	the	DET
cana-1817	26	23	objective	objective	NOUN
cana-1817	26	24	of	of	ADP
cana-1817	26	25	maximizing	maximize	VERB
cana-1817	26	26	entropy	entropy	NOUN
cana-1817	26	27	and	and	CCONJ
cana-1817	26	28	enhancing	enhance	VERB
cana-1817	26	29	ct	ct	NUM
cana-1817	26	30	scans	scan	NOUN
cana-1817	26	31	.	.	PUNCT
cana-1817	27	1	the	the	DET
cana-1817	27	2	second	second	ADJ
cana-1817	27	3	phase	phase	NOUN
cana-1817	27	4	utilized	utilize	VERB
cana-1817	27	5	dense	dense	ADJ
cana-1817	27	6	blocks	block	NOUN
cana-1817	27	7	in	in	ADP
cana-1817	27	8	x	x	ADJ
cana-1817	27	9	-	-	ADJ
cana-1817	27	10	net	net	ADJ
cana-1817	27	11	architecture	architecture	NOUN
cana-1817	27	12	hence	hence	ADV
cana-1817	27	13	,	,	PUNCT
cana-1817	27	14	named	name	VERB
cana-1817	27	15	x	x	NOUN
cana-1817	27	16	-	-	NOUN
cana-1817	27	17	densenet	densenet	NOUN
cana-1817	27	18	to	to	ADP
cana-1817	27	19	segment	segment	NOUN
cana-1817	27	20	liver	liver	NOUN
cana-1817	27	21	,	,	PUNCT
cana-1817	27	22	aorta	aorta	NOUN
cana-1817	27	23	and	and	CCONJ
cana-1817	27	24	spleen	spleen	NOUN
cana-1817	27	25	from	from	ADP
cana-1817	27	26	abdomen	abdomen	PROPN
cana-1817	27	27	ct	ct	PROPN
cana-1817	27	28	scan	scan	PROPN
cana-1817	27	29	.	.	PUNCT
cana-1817	28	1	by	by	ADP
cana-1817	28	2	focusing	focus	VERB
cana-1817	28	3	on	on	ADP
cana-1817	28	4	efficient	efficient	ADJ
cana-1817	28	5	feature	feature	NOUN
cana-1817	28	6	extraction	extraction	NOUN
cana-1817	28	7	,	,	PUNCT
cana-1817	28	8	feature	feature	NOUN
cana-1817	28	9	reuse	reuse	NOUN
cana-1817	28	10	,	,	PUNCT
cana-1817	28	11	facilitated	facilitate	VERB
cana-1817	28	12	information	information	NOUN
cana-1817	28	13	propagation	propagation	NOUN
cana-1817	28	14	and	and	CCONJ
cana-1817	28	15	mitigating	mitigate	VERB
cana-1817	28	16	training	training	NOUN
cana-1817	28	17	challenges	challenge	NOUN
cana-1817	28	18	,	,	PUNCT
cana-1817	28	19	dense	dense	ADJ
cana-1817	28	20	blocks	block	NOUN
cana-1817	28	21	enhance	enhance	VERB
cana-1817	28	22	the	the	DET
cana-1817	28	23	overall	overall	ADJ
cana-1817	28	24	capability	capability	NOUN
cana-1817	28	25	of	of	ADP
cana-1817	28	26	the	the	DET
cana-1817	28	27	architecture	architecture	NOUN
cana-1817	28	28	to	to	PART
cana-1817	28	29	accurately	accurately	ADV
cana-1817	28	30	segment	segment	VERB
cana-1817	28	31	organs	organ	NOUN
cana-1817	28	32	.	.	PUNCT
cana-1817	29	1	the	the	DET
cana-1817	29	2	distinctive	distinctive	ADJ
cana-1817	29	3	structure	structure	NOUN
cana-1817	29	4	of	of	ADP
cana-1817	29	5	dense	dense	ADJ
cana-1817	29	6	blocks	block	NOUN
cana-1817	29	7	improves	improve	VERB
cana-1817	29	8	segmentation	segmentation	NOUN
cana-1817	29	9	performance	performance	NOUN
cana-1817	29	10	not	not	PART
cana-1817	29	11	only	only	ADV
cana-1817	29	12	for	for	ADP
cana-1817	29	13	large	large	ADJ
cana-1817	29	14	organs	organ	NOUN
cana-1817	29	15	like	like	ADP
cana-1817	29	16	liver	liver	NOUN
cana-1817	29	17	and	and	CCONJ
cana-1817	29	18	spleen	spleen	NOUN
cana-1817	29	19	but	but	CCONJ
cana-1817	29	20	also	also	ADV
cana-1817	29	21	for	for	ADP
cana-1817	29	22	smaller	small	ADJ
cana-1817	29	23	one	one	NOUN
cana-1817	29	24	e.g.	e.g.	ADV
cana-1817	29	25	aorta	aorta	NOUN
cana-1817	29	26	in	in	ADP
cana-1817	29	27	this	this	DET
cana-1817	29	28	study	study	NOUN
cana-1817	29	29	.	.	PUNCT
cana-1817	30	1	the	the	DET
cana-1817	30	2	major	major	ADJ
cana-1817	30	3	objective	objective	NOUN
cana-1817	30	4	of	of	ADP
cana-1817	30	5	our	our	PRON
cana-1817	30	6	research	research	NOUN
cana-1817	30	7	is	be	AUX
cana-1817	30	8	to	to	PART
cana-1817	30	9	design	design	VERB
cana-1817	30	10	an	an	DET
cana-1817	30	11	approach	approach	NOUN
cana-1817	30	12	based	base	VERB
cana-1817	30	13	on	on	ADP
cana-1817	30	14	encoder	encoder	NOUN
cana-1817	30	15	-	-	PUNCT
cana-1817	30	16	decoder	decoder	NOUN
cana-1817	30	17	architecture	architecture	NOUN
cana-1817	30	18	for	for	ADP
cana-1817	30	19	better	well	ADJ
cana-1817	30	20	dice	dice	NOUN
cana-1817	30	21	score	score	NOUN
cana-1817	30	22	and	and	CCONJ
cana-1817	30	23	automatic	automatic	ADJ
cana-1817	30	24	segmentation	segmentation	NOUN
cana-1817	30	25	of	of	ADP
cana-1817	30	26	multiple	multiple	ADJ
cana-1817	30	27	organs	organ	NOUN
cana-1817	30	28	.	.	PUNCT
cana-1817	31	1	the	the	DET
cana-1817	31	2	contributions	contribution	NOUN
cana-1817	31	3	of	of	ADP
cana-1817	31	4	the	the	DET
cana-1817	31	5	study	study	NOUN
cana-1817	31	6	are	be	AUX
cana-1817	31	7	as	as	SCONJ
cana-1817	31	8	given	give	VERB
cana-1817	31	9	below	below	ADV
cana-1817	31	10	:	:	PUNCT
cana-1817	31	11	i.	i.	PROPN
cana-1817	31	12	a	a	DET
cana-1817	31	13	novel	novel	ADJ
cana-1817	31	14	approach	approach	NOUN
cana-1817	31	15	to	to	PART
cana-1817	31	16	optimize	optimize	VERB
cana-1817	31	17	and	and	CCONJ
cana-1817	31	18	automate	automate	VERB
cana-1817	31	19	the	the	DET
cana-1817	31	20	clip	clip	NOUN
cana-1817	31	21	selection	selection	NOUN
cana-1817	31	22	limit	limit	NOUN
cana-1817	31	23	of	of	ADP
cana-1817	31	24	clahe	clahe	NOUN
cana-1817	31	25	algorithm	algorithm	NOUN
cana-1817	31	26	by	by	ADP
cana-1817	31	27	utilizing	utilize	VERB
cana-1817	31	28	proposed	propose	VERB
cana-1817	31	29	weighted	weight	VERB
cana-1817	31	30	gwo	gwo	PROPN
cana-1817	31	31	algorithm	algorithm	PROPN
cana-1817	31	32	.	.	PUNCT
cana-1817	32	1	this	this	PRON
cana-1817	32	2	will	will	AUX
cana-1817	32	3	enhance	enhance	VERB
cana-1817	32	4	the	the	DET
cana-1817	32	5	contrast	contrast	NOUN
cana-1817	32	6	by	by	ADP
cana-1817	32	7	preserving	preserve	VERB
cana-1817	32	8	organ	organ	NOUN
cana-1817	32	9	shape	shape	NOUN
cana-1817	32	10	and	and	CCONJ
cana-1817	32	11	boundaries	boundary	NOUN
cana-1817	32	12	.	.	PUNCT
cana-1817	33	1	ii	ii	PROPN
cana-1817	33	2	.	.	PUNCT
cana-1817	34	1	a	a	DET
cana-1817	34	2	dynamic	dynamic	ADJ
cana-1817	34	3	weighting	weighting	NOUN
cana-1817	34	4	factors	factor	NOUN
cana-1817	34	5	module	module	NOUN
cana-1817	34	6	is	be	AUX
cana-1817	34	7	added	add	VERB
cana-1817	34	8	to	to	PART
cana-1817	34	9	gwo	gwo	VERB
cana-1817	34	10	in	in	ADP
cana-1817	34	11	order	order	NOUN
cana-1817	34	12	to	to	PART
cana-1817	34	13	balance	balance	VERB
cana-1817	34	14	the	the	DET
cana-1817	34	15	dominant	dominant	ADJ
cana-1817	34	16	behavior	behavior	NOUN
cana-1817	34	17	of	of	ADP
cana-1817	34	18	alpha	alpha	NOUN
cana-1817	34	19	,	,	PUNCT
cana-1817	34	20	beta	beta	NOUN
cana-1817	34	21	and	and	CCONJ
cana-1817	34	22	delta	delta	NOUN
cana-1817	34	23	wolves	wolf	NOUN
cana-1817	34	24	on	on	ADP
cana-1817	34	25	other	other	ADJ
cana-1817	34	26	search	search	NOUN
cana-1817	34	27	agents	agent	NOUN
cana-1817	34	28	.	.	PUNCT
cana-1817	35	1	this	this	PRON
cana-1817	35	2	will	will	AUX
cana-1817	35	3	help	help	VERB
cana-1817	35	4	the	the	DET
cana-1817	35	5	search	search	NOUN
cana-1817	35	6	agents	agent	NOUN
cana-1817	35	7	to	to	PART
cana-1817	35	8	explore	explore	VERB
cana-1817	35	9	the	the	DET
cana-1817	35	10	more	more	ADV
cana-1817	35	11	diverse	diverse	ADJ
cana-1817	35	12	search	search	NOUN
cana-1817	35	13	space	space	NOUN
cana-1817	35	14	.	.	PUNCT
cana-1817	36	1	iii	iii	X
cana-1817	36	2	.	.	PUNCT
cana-1817	37	1	the	the	DET
cana-1817	37	2	second	second	ADJ
cana-1817	37	3	phase	phase	NOUN
cana-1817	37	4	of	of	ADP
cana-1817	37	5	the	the	DET
cana-1817	37	6	proposed	propose	VERB
cana-1817	37	7	approach	approach	NOUN
cana-1817	37	8	will	will	AUX
cana-1817	37	9	incorporate	incorporate	VERB
cana-1817	37	10	three	three	NUM
cana-1817	37	11	layer	layer	NOUN
cana-1817	37	12	dense	dense	ADJ
cana-1817	37	13	blocks	block	NOUN
cana-1817	37	14	to	to	PART
cana-1817	37	15	capture	capture	VERB
cana-1817	37	16	the	the	DET
cana-1817	37	17	more	more	ADV
cana-1817	37	18	intrinsic	intrinsic	ADJ
cana-1817	37	19	features	feature	NOUN
cana-1817	37	20	of	of	ADP
cana-1817	37	21	the	the	DET
cana-1817	37	22	organs	organ	NOUN
cana-1817	37	23	in	in	ADP
cana-1817	37	24	order	order	NOUN
cana-1817	37	25	to	to	PART
cana-1817	37	26	improve	improve	VERB
cana-1817	37	27	the	the	DET
cana-1817	37	28	dice	dice	NOUN
cana-1817	37	29	score	score	NOUN
cana-1817	37	30	.	.	PUNCT
cana-1817	38	1	the	the	DET
cana-1817	38	2	opticlahe	opticlahe	NOUN
cana-1817	38	3	-	-	PUNCT
cana-1817	38	4	weighted	weight	VERB
cana-1817	38	5	gwo	gwo	NOUN
cana-1817	38	6	is	be	AUX
cana-1817	38	7	integrated	integrate	VERB
cana-1817	38	8	with	with	ADP
cana-1817	38	9	x	x	ADJ
cana-1817	38	10	-	-	NOUN
cana-1817	38	11	densenet	densenet	NOUN
cana-1817	38	12	architecture	architecture	NOUN
cana-1817	38	13	.	.	PUNCT
cana-1817	39	1	iv	iv	X
cana-1817	39	2	.	.	PUNCT
cana-1817	40	1	our	our	PRON
cana-1817	40	2	proposed	propose	VERB
cana-1817	40	3	approach	approach	NOUN
cana-1817	40	4	shows	show	VERB
cana-1817	40	5	superior	superior	ADJ
cana-1817	40	6	performance	performance	NOUN
cana-1817	40	7	for	for	ADP
cana-1817	40	8	spleen	spleen	NOUN
cana-1817	40	9	and	and	CCONJ
cana-1817	40	10	aorta	aorta	NOUN
cana-1817	40	11	when	when	SCONJ
cana-1817	40	12	compared	compare	VERB
cana-1817	40	13	to	to	ADP
cana-1817	40	14	the	the	DET
cana-1817	40	15	existing	exist	VERB
cana-1817	40	16	state	state	NOUN
cana-1817	40	17	-	-	PUNCT
cana-1817	40	18	of	of	ADP
cana-1817	40	19	-	-	PUNCT
cana-1817	40	20	the	the	DET
cana-1817	40	21	-	-	PUNCT
cana-1817	40	22	art	art	NOUN
cana-1817	40	23	methods	method	NOUN
cana-1817	40	24	.	.	PUNCT
cana-1817	41	1	the	the	DET
cana-1817	41	2	mean	mean	ADJ
cana-1817	41	3	dice	dice	NOUN
cana-1817	41	4	score	score	NOUN
cana-1817	41	5	achieved	achieve	VERB
cana-1817	41	6	for	for	ADP
cana-1817	41	7	liver	liver	NOUN
cana-1817	41	8	,	,	PUNCT
cana-1817	41	9	aorta	aorta	NOUN
cana-1817	41	10	and	and	CCONJ
cana-1817	41	11	spleen	spleen	VERB
cana-1817	41	12	with	with	ADP
cana-1817	41	13	the	the	DET
cana-1817	41	14	proposed	propose	VERB
cana-1817	41	15	approach	approach	NOUN
cana-1817	41	16	is	be	AUX
cana-1817	41	17	approx	approx	NOUN
cana-1817	41	18	.	.	PUNCT
cana-1817	42	1	96	96	NUM
cana-1817	42	2	%	%	NOUN
cana-1817	42	3	.	.	PUNCT
cana-1817	43	1	v.	v.	ADP
cana-1817	43	2	this	this	DET
cana-1817	43	3	study	study	NOUN
cana-1817	43	4	also	also	ADV
cana-1817	43	5	sheds	shed	VERB
cana-1817	43	6	light	light	NOUN
cana-1817	43	7	on	on	ADP
cana-1817	43	8	limitation	limitation	NOUN
cana-1817	43	9	of	of	ADP
cana-1817	43	10	trained	train	VERB
cana-1817	43	11	model	model	NOUN
cana-1817	43	12	along	along	ADP
cana-1817	43	13	with	with	ADP
cana-1817	43	14	future	future	ADJ
cana-1817	43	15	directions	direction	NOUN
cana-1817	43	16	in	in	ADP
cana-1817	43	17	this	this	DET
cana-1817	43	18	field	field	NOUN
cana-1817	43	19	.	.	PUNCT
cana-1817	44	1	the	the	DET
cana-1817	44	2	remainder	remainder	NOUN
cana-1817	44	3	of	of	ADP
cana-1817	44	4	the	the	DET
cana-1817	44	5	study	study	NOUN
cana-1817	44	6	is	be	AUX
cana-1817	44	7	organized	organize	VERB
cana-1817	44	8	as	as	SCONJ
cana-1817	44	9	follows	follow	VERB
cana-1817	44	10	:	:	PUNCT
cana-1817	44	11	section	section	NOUN
cana-1817	44	12	2	2	NUM
cana-1817	44	13	provides	provide	VERB
cana-1817	44	14	the	the	DET
cana-1817	44	15	related	related	ADJ
cana-1817	44	16	work	work	NOUN
cana-1817	44	17	in	in	ADP
cana-1817	44	18	the	the	DET
cana-1817	44	19	paper	paper	NOUN
cana-1817	44	20	.	.	PUNCT
cana-1817	45	1	section	section	NOUN
cana-1817	45	2	3	3	NUM
cana-1817	45	3	introduces	introduce	NOUN
cana-1817	45	4	the	the	DET
cana-1817	45	5	proposed	propose	VERB
cana-1817	45	6	methodology	methodology	NOUN
cana-1817	45	7	where	where	SCONJ
cana-1817	45	8	in	in	ADP
cana-1817	45	9	section	section	NOUN
cana-1817	45	10	3.1	3.1	NUM
cana-1817	45	11	details	detail	NOUN
cana-1817	45	12	the	the	DET
cana-1817	45	13	first	first	ADJ
cana-1817	45	14	phase	phase	NOUN
cana-1817	45	15	named	name	VERB
cana-1817	45	16	opticlahe	opticlahe	NOUN
cana-1817	45	17	–	–	PUNCT
cana-1817	45	18	weighted	weight	VERB
cana-1817	45	19	gwo	gwo	PROPN
cana-1817	45	20	,	,	PUNCT
cana-1817	45	21	section	section	NOUN
cana-1817	45	22	3.2	3.2	NUM
cana-1817	45	23	introduces	introduce	NOUN
cana-1817	45	24	the	the	DET
cana-1817	45	25	x	x	NOUN
cana-1817	45	26	-	-	ADJ
cana-1817	45	27	densenet	densenet	NOUN
cana-1817	45	28	architecture	architecture	NOUN
cana-1817	45	29	.	.	PUNCT
cana-1817	46	1	section	section	NOUN
cana-1817	46	2	4	4	NUM
cana-1817	46	3	presents	present	NOUN
cana-1817	46	4	dataset	dataset	NOUN
cana-1817	46	5	,	,	PUNCT
cana-1817	46	6	experimental	experimental	ADJ
cana-1817	46	7	setup	setup	NOUN
cana-1817	46	8	,	,	PUNCT
cana-1817	46	9	implementation	implementation	NOUN
cana-1817	46	10	details	detail	NOUN
cana-1817	46	11	and	and	CCONJ
cana-1817	46	12	comparison	comparison	NOUN
cana-1817	46	13	with	with	ADP
cana-1817	46	14	state	state	NOUN
cana-1817	46	15	-	-	PUNCT
cana-1817	46	16	ofthe	ofthe	NOUN
cana-1817	46	17	-	-	PUNCT
cana-1817	46	18	art	art	NOUN
cana-1817	46	19	communications	communication	NOUN
cana-1817	46	20	on	on	ADP
cana-1817	46	21	applied	apply	VERB
cana-1817	46	22	nonlinear	nonlinear	ADJ
cana-1817	46	23	analysis	analysis	NOUN
cana-1817	46	24	issn	issn	NOUN
cana-1817	46	25	:	:	PUNCT
cana-1817	46	26	1074	1074	NUM
cana-1817	46	27	-	-	PUNCT
cana-1817	46	28	133x	133x	NUM
cana-1817	46	29	vol	vol	NOUN
cana-1817	46	30	32	32	NUM
cana-1817	46	31	no	no	NOUN
cana-1817	46	32	.	.	NOUN
cana-1817	46	33	2	2	NUM
cana-1817	46	34	(	(	PUNCT
cana-1817	46	35	2025	2025	NUM
cana-1817	46	36	)	)	PUNCT
cana-1817	46	37	563	563	NUM
cana-1817	46	38	methods	method	NOUN
cana-1817	46	39	.	.	PUNCT
cana-1817	47	1	section	section	NOUN
cana-1817	47	2	5	5	NUM
cana-1817	47	3	demonstrated	demonstrate	VERB
cana-1817	47	4	the	the	DET
cana-1817	47	5	ablation	ablation	NOUN
cana-1817	47	6	studies	study	NOUN
cana-1817	47	7	.	.	PUNCT
cana-1817	48	1	our	our	PRON
cana-1817	48	2	study	study	NOUN
cana-1817	48	3	ends	end	VERB
cana-1817	48	4	with	with	ADP
cana-1817	48	5	detailed	detailed	ADJ
cana-1817	48	6	discussion	discussion	NOUN
cana-1817	48	7	along	along	ADP
cana-1817	48	8	with	with	ADP
cana-1817	48	9	findings	finding	NOUN
cana-1817	48	10	,	,	PUNCT
cana-1817	48	11	limitations	limitation	NOUN
cana-1817	48	12	and	and	CCONJ
cana-1817	48	13	future	future	ADJ
cana-1817	48	14	directions	direction	NOUN
cana-1817	48	15	in	in	ADP
cana-1817	48	16	section	section	NOUN
cana-1817	48	17	6	6	NUM
cana-1817	48	18	.	.	NOUN
cana-1817	48	19	2	2	NUM
cana-1817	48	20	.	.	X
cana-1817	48	21	related	relate	VERB
cana-1817	48	22	work	work	NOUN
cana-1817	48	23	the	the	DET
cana-1817	48	24	recent	recent	ADJ
cana-1817	48	25	advancements	advancement	NOUN
cana-1817	48	26	in	in	ADP
cana-1817	48	27	deep	deep	ADJ
cana-1817	48	28	learning	learning	NOUN
cana-1817	48	29	methods	method	NOUN
cana-1817	48	30	have	have	AUX
cana-1817	48	31	overshadowed	overshadow	VERB
cana-1817	48	32	traditional	traditional	ADJ
cana-1817	48	33	medical	medical	ADJ
cana-1817	48	34	image	image	NOUN
cana-1817	48	35	segmentation	segmentation	NOUN
cana-1817	48	36	techniques	technique	NOUN
cana-1817	48	37	such	such	ADJ
cana-1817	48	38	as	as	ADP
cana-1817	48	39	atlas	atlas	PROPN
cana-1817	48	40	based	base	VERB
cana-1817	48	41	methods	method	NOUN
cana-1817	48	42	[	[	X
cana-1817	48	43	8	8	NUM
cana-1817	48	44	]	]	PUNCT
cana-1817	48	45	,	,	PUNCT
cana-1817	48	46	[	[	X
cana-1817	48	47	9	9	NUM
cana-1817	48	48	]	]	PUNCT
cana-1817	48	49	,	,	PUNCT
cana-1817	48	50	[	[	X
cana-1817	48	51	10	10	NUM
cana-1817	48	52	]	]	PUNCT
cana-1817	48	53	,	,	PUNCT
cana-1817	48	54	statistical	statistical	ADJ
cana-1817	48	55	shape	shape	NOUN
cana-1817	48	56	models	model	NOUN
cana-1817	48	57	[	[	X
cana-1817	48	58	11	11	NUM
cana-1817	48	59	]	]	PUNCT
cana-1817	48	60	,	,	PUNCT
cana-1817	48	61	[	[	X
cana-1817	48	62	12	12	NUM
cana-1817	48	63	]	]	PUNCT
cana-1817	48	64	,	,	PUNCT
cana-1817	48	65	[	[	X
cana-1817	48	66	13	13	NUM
cana-1817	48	67	]	]	PUNCT
cana-1817	48	68	,	,	PUNCT
cana-1817	48	69	[	[	X
cana-1817	48	70	14	14	NUM
cana-1817	48	71	]	]	PUNCT
cana-1817	48	72	,	,	PUNCT
cana-1817	48	73	[	[	X
cana-1817	48	74	15	15	NUM
cana-1817	48	75	]	]	PUNCT
cana-1817	48	76	,	,	PUNCT
cana-1817	48	77	[	[	X
cana-1817	48	78	16	16	NUM
cana-1817	48	79	]	]	PUNCT
cana-1817	48	80	,	,	PUNCT
cana-1817	48	81	[	[	X
cana-1817	48	82	17	17	NUM
cana-1817	48	83	]	]	PUNCT
cana-1817	48	84	,	,	PUNCT
cana-1817	48	85	graph	graph	NOUN
cana-1817	48	86	cut	cut	VERB
cana-1817	48	87	[	[	X
cana-1817	48	88	2	2	NUM
cana-1817	48	89	]	]	PUNCT
cana-1817	48	90	,	,	PUNCT
cana-1817	48	91	crfs	crfs	PROPN
cana-1817	48	92	[	[	X
cana-1817	48	93	18	18	NUM
cana-1817	48	94	]	]	PUNCT
cana-1817	48	95	etc	etc	X
cana-1817	48	96	.	.	X
cana-1817	49	1	this	this	DET
cana-1817	49	2	shift	shift	NOUN
cana-1817	49	3	shows	show	VERB
cana-1817	49	4	the	the	DET
cana-1817	49	5	effectiveness	effectiveness	NOUN
cana-1817	49	6	and	and	CCONJ
cana-1817	49	7	adaptability	adaptability	NOUN
cana-1817	49	8	of	of	ADP
cana-1817	49	9	deep	deep	ADJ
cana-1817	49	10	learning	learning	NOUN
cana-1817	49	11	methods	method	NOUN
cana-1817	49	12	in	in	ADP
cana-1817	49	13	this	this	DET
cana-1817	49	14	field	field	NOUN
cana-1817	49	15	.	.	PUNCT
cana-1817	50	1	while	while	SCONJ
cana-1817	50	2	conventional	conventional	ADJ
cana-1817	50	3	techniques	technique	NOUN
cana-1817	50	4	directly	directly	ADV
cana-1817	50	5	segment	segment	VERB
cana-1817	50	6	ct	ct	NUM
cana-1817	50	7	images	image	NOUN
cana-1817	50	8	with	with	ADP
cana-1817	50	9	hand	hand	NOUN
cana-1817	50	10	crafted	craft	VERB
cana-1817	50	11	features	feature	NOUN
cana-1817	50	12	,	,	PUNCT
cana-1817	50	13	whereas	whereas	SCONJ
cana-1817	50	14	end	end	NOUN
cana-1817	50	15	-	-	PUNCT
cana-1817	50	16	to	to	ADP
cana-1817	50	17	-	-	PUNCT
cana-1817	50	18	end	end	NOUN
cana-1817	50	19	data	data	NOUN
cana-1817	50	20	-	-	PUNCT
cana-1817	50	21	driven	drive	VERB
cana-1817	50	22	learning	learning	NOUN
cana-1817	50	23	models	model	NOUN
cana-1817	50	24	prove	prove	VERB
cana-1817	50	25	more	more	ADV
cana-1817	50	26	suitable	suitable	ADJ
cana-1817	50	27	by	by	ADP
cana-1817	50	28	facilitating	facilitate	VERB
cana-1817	50	29	automatic	automatic	ADJ
cana-1817	50	30	feature	feature	NOUN
cana-1817	50	31	extraction	extraction	NOUN
cana-1817	50	32	for	for	ADP
cana-1817	50	33	segmentation	segmentation	NOUN
cana-1817	50	34	.	.	PUNCT
cana-1817	51	1	deep	deep	ADJ
cana-1817	51	2	learning	learning	NOUN
cana-1817	51	3	models	model	NOUN
cana-1817	51	4	such	such	ADJ
cana-1817	51	5	as	as	ADP
cana-1817	51	6	cnns	cnn	NOUN
cana-1817	51	7	,	,	PUNCT
cana-1817	51	8	fcns	fcn	VERB
cana-1817	52	1	[	[	X
cana-1817	52	2	19	19	NUM
cana-1817	52	3	]	]	PUNCT
cana-1817	52	4	excel	excel	VERB
cana-1817	52	5	in	in	ADP
cana-1817	52	6	capturing	capture	VERB
cana-1817	52	7	detailed	detailed	ADJ
cana-1817	52	8	spatial	spatial	ADJ
cana-1817	52	9	features	feature	NOUN
cana-1817	52	10	with	with	ADP
cana-1817	52	11	their	their	PRON
cana-1817	52	12	prior	prior	ADJ
cana-1817	52	13	knowledge	knowledge	NOUN
cana-1817	52	14	,	,	PUNCT
cana-1817	52	15	crucial	crucial	ADJ
cana-1817	52	16	for	for	ADP
cana-1817	52	17	delineating	delineate	VERB
cana-1817	52	18	complex	complex	ADJ
cana-1817	52	19	organs	organ	NOUN
cana-1817	52	20	.	.	PUNCT
cana-1817	53	1	however	however	ADV
cana-1817	53	2	,	,	PUNCT
cana-1817	53	3	the	the	DET
cana-1817	53	4	considerable	considerable	ADJ
cana-1817	53	5	diversity	diversity	NOUN
cana-1817	53	6	in	in	ADP
cana-1817	53	7	anatomical	anatomical	ADJ
cana-1817	53	8	structures	structure	NOUN
cana-1817	53	9	across	across	ADP
cana-1817	53	10	different	different	ADJ
cana-1817	53	11	patients	patient	NOUN
cana-1817	53	12	and	and	CCONJ
cana-1817	53	13	low	low	ADJ
cana-1817	53	14	intensity	intensity	NOUN
cana-1817	53	15	contrast	contrast	NOUN
cana-1817	53	16	of	of	ADP
cana-1817	53	17	ct	ct	NUM
cana-1817	53	18	scans	scan	NOUN
cana-1817	53	19	,	,	PUNCT
cana-1817	53	20	poses	pose	VERB
cana-1817	53	21	a	a	DET
cana-1817	53	22	significant	significant	ADJ
cana-1817	53	23	challenge	challenge	NOUN
cana-1817	53	24	in	in	ADP
cana-1817	53	25	multi	multi	ADJ
cana-1817	53	26	-	-	ADJ
cana-1817	53	27	organ	organ	ADJ
cana-1817	53	28	segmentation	segmentation	NOUN
cana-1817	53	29	[	[	X
cana-1817	53	30	20	20	NUM
cana-1817	53	31	]	]	PUNCT
cana-1817	53	32	.	.	PUNCT
cana-1817	54	1	fcnns	fcnn	NOUN
cana-1817	54	2	,	,	PUNCT
cana-1817	54	3	including	include	VERB
cana-1817	54	4	u	u	NOUN
cana-1817	54	5	-	-	NOUN
cana-1817	54	6	net	net	ADJ
cana-1817	54	7	[	[	X
cana-1817	54	8	21	21	NUM
cana-1817	54	9	]	]	PUNCT
cana-1817	54	10	and	and	CCONJ
cana-1817	54	11	v	v	NOUN
cana-1817	54	12	-	-	ADJ
cana-1817	54	13	net	net	NOUN
cana-1817	54	14	[	[	X
cana-1817	54	15	22	22	NUM
cana-1817	54	16	]	]	PUNCT
cana-1817	54	17	,	,	PUNCT
cana-1817	54	18	have	have	AUX
cana-1817	54	19	dominated	dominate	VERB
cana-1817	54	20	medical	medical	ADJ
cana-1817	54	21	segmentation	segmentation	NOUN
cana-1817	54	22	,	,	PUNCT
cana-1817	54	23	with	with	ADP
cana-1817	54	24	encoders	encoder	NOUN
cana-1817	54	25	capturing	capture	VERB
cana-1817	54	26	global	global	ADJ
cana-1817	54	27	context	context	NOUN
cana-1817	54	28	through	through	ADP
cana-1817	54	29	downsampling	downsampling	NOUN
cana-1817	54	30	,	,	PUNCT
cana-1817	54	31	and	and	CCONJ
cana-1817	54	32	decoders	decoder	NOUN
cana-1817	54	33	upscaling	upscale	VERB
cana-1817	54	34	for	for	ADP
cana-1817	54	35	precise	precise	ADJ
cana-1817	54	36	predictions	prediction	NOUN
cana-1817	54	37	via	via	ADP
cana-1817	54	38	skip	skip	ADJ
cana-1817	54	39	connections	connection	NOUN
cana-1817	54	40	.	.	PUNCT
cana-1817	55	1	the	the	DET
cana-1817	55	2	fcn	fcn	PROPN
cana-1817	55	3	majority	majority	NOUN
cana-1817	55	4	voting	voting	NOUN
cana-1817	55	5	method	method	NOUN
cana-1817	55	6	[	[	X
cana-1817	55	7	23	23	NUM
cana-1817	55	8	]	]	PUNCT
cana-1817	55	9	,	,	PUNCT
cana-1817	55	10	a	a	DET
cana-1817	55	11	variant	variant	NOUN
cana-1817	55	12	of	of	ADP
cana-1817	55	13	fcn	fcn	NOUN
cana-1817	55	14	,	,	PUNCT
cana-1817	55	15	leverages	leverage	NOUN
cana-1817	55	16	redundant	redundant	ADJ
cana-1817	55	17	segmentations	segmentation	NOUN
cana-1817	55	18	to	to	PART
cana-1817	55	19	glean	glean	VERB
cana-1817	55	20	both	both	CCONJ
cana-1817	55	21	high	high	ADJ
cana-1817	55	22	and	and	CCONJ
cana-1817	55	23	low	low	ADJ
cana-1817	55	24	-	-	PUNCT
cana-1817	55	25	level	level	NOUN
cana-1817	55	26	features	feature	NOUN
cana-1817	55	27	like	like	ADP
cana-1817	55	28	shape	shape	NOUN
cana-1817	55	29	,	,	PUNCT
cana-1817	55	30	size	size	NOUN
cana-1817	55	31	,	,	PUNCT
cana-1817	55	32	and	and	CCONJ
cana-1817	55	33	contour	contour	NOUN
cana-1817	55	34	of	of	ADP
cana-1817	55	35	organs	organ	NOUN
cana-1817	55	36	.	.	PUNCT
cana-1817	56	1	but	but	CCONJ
cana-1817	56	2	the	the	DET
cana-1817	56	3	redundant	redundant	ADJ
cana-1817	56	4	segmentation	segmentation	NOUN
cana-1817	56	5	require	require	VERB
cana-1817	56	6	significant	significant	ADJ
cana-1817	56	7	computational	computational	ADJ
cana-1817	56	8	resources	resource	NOUN
cana-1817	56	9	lead	lead	VERB
cana-1817	56	10	to	to	ADP
cana-1817	56	11	new	new	ADJ
cana-1817	56	12	technique	technique	NOUN
cana-1817	56	13	based	base	VERB
cana-1817	56	14	on	on	ADP
cana-1817	56	15	time	time	NOUN
cana-1817	56	16	implicit	implicit	ADJ
cana-1817	56	17	levels	level	NOUN
cana-1817	56	18	[	[	X
cana-1817	56	19	24	24	NUM
cana-1817	56	20	]	]	PUNCT
cana-1817	56	21	.	.	PUNCT
cana-1817	57	1	another	another	DET
cana-1817	57	2	variation	variation	NOUN
cana-1817	57	3	,	,	PUNCT
cana-1817	57	4	fcn	fcn	NOUN
cana-1817	57	5	-	-	PUNCT
cana-1817	57	6	decnet	decnet	NOUN
cana-1817	58	1	[	[	X
cana-1817	58	2	23	23	NUM
cana-1817	58	3	]	]	PUNCT
cana-1817	58	4	integrates	integrate	VERB
cana-1817	58	5	fcn	fcn	NOUN
cana-1817	58	6	with	with	ADP
cana-1817	58	7	multi	multi	ADJ
cana-1817	58	8	scale	scale	NOUN
cana-1817	58	9	weighted	weight	VERB
cana-1817	58	10	probabilistic	probabilistic	ADJ
cana-1817	58	11	atlas	atlas	PROPN
cana-1817	58	12	(	(	PUNCT
cana-1817	58	13	pa	pa	PROPN
cana-1817	58	14	)	)	PUNCT
cana-1817	58	15	and	and	CCONJ
cana-1817	58	16	utilized	utilize	VERB
cana-1817	58	17	convolution	convolution	NOUN
cana-1817	58	18	and	and	CCONJ
cana-1817	58	19	deconvolution	deconvolution	NOUN
cana-1817	58	20	layer	layer	NOUN
cana-1817	58	21	to	to	PART
cana-1817	58	22	achieve	achieve	VERB
cana-1817	58	23	optimized	optimize	VERB
cana-1817	58	24	results	result	NOUN
cana-1817	58	25	.	.	PUNCT
cana-1817	59	1	but	but	CCONJ
cana-1817	59	2	this	this	DET
cana-1817	59	3	study	study	NOUN
cana-1817	59	4	is	be	AUX
cana-1817	59	5	semi	semi	ADJ
cana-1817	59	6	-	-	ADJ
cana-1817	59	7	automated	automated	ADJ
cana-1817	59	8	.	.	PUNCT
cana-1817	60	1	a	a	DET
cana-1817	60	2	fully	fully	ADV
cana-1817	60	3	automated	automate	VERB
cana-1817	60	4	approach	approach	NOUN
cana-1817	60	5	is	be	AUX
cana-1817	60	6	developed	develop	VERB
cana-1817	60	7	[	[	X
cana-1817	60	8	25	25	NUM
cana-1817	60	9	]	]	X
cana-1817	60	10	utilizing	utilize	VERB
cana-1817	60	11	multi	multi	ADJ
cana-1817	60	12	-	-	ADJ
cana-1817	60	13	atlas	atlas	ADJ
cana-1817	60	14	techniques	technique	NOUN
cana-1817	60	15	for	for	ADP
cana-1817	60	16	organ	organ	NOUN
cana-1817	60	17	localization	localization	NOUN
cana-1817	60	18	and	and	CCONJ
cana-1817	60	19	employing	employ	VERB
cana-1817	60	20	a	a	DET
cana-1817	60	21	two	two	NUM
cana-1817	60	22	-	-	PUNCT
cana-1817	60	23	stage	stage	NOUN
cana-1817	60	24	cnn	cnn	NOUN
cana-1817	60	25	for	for	ADP
cana-1817	60	26	segmentation	segmentation	NOUN
cana-1817	60	27	.	.	PUNCT
cana-1817	61	1	there	there	PRON
cana-1817	61	2	are	be	VERB
cana-1817	61	3	other	other	ADJ
cana-1817	61	4	3d	3d	ADJ
cana-1817	61	5	variations	variation	NOUN
cana-1817	61	6	such	such	ADJ
cana-1817	61	7	as	as	ADP
cana-1817	61	8	3d	3d	PROPN
cana-1817	61	9	fcn	fcn	NOUN
cana-1817	62	1	[	[	X
cana-1817	62	2	26	26	NUM
cana-1817	62	3	]	]	PUNCT
cana-1817	62	4	,	,	PUNCT
cana-1817	62	5	cascaded	cascade	VERB
cana-1817	62	6	3d	3d	NUM
cana-1817	62	7	fcn	fcn	PROPN
cana-1817	63	1	[	[	X
cana-1817	63	2	27	27	NUM
cana-1817	63	3	]	]	PUNCT
cana-1817	63	4	,	,	PUNCT
cana-1817	63	5	3dujapa	3dujapa	NUM
cana-1817	63	6	-	-	NOUN
cana-1817	63	7	net	net	NOUN
cana-1817	63	8	[	[	X
cana-1817	63	9	28	28	NUM
cana-1817	63	10	]	]	PUNCT
cana-1817	63	11	and	and	CCONJ
cana-1817	63	12	federated	federate	VERB
cana-1817	63	13	3d	3d	NOUN
cana-1817	64	1	[	[	X
cana-1817	64	2	29	29	NUM
cana-1817	64	3	]	]	PUNCT
cana-1817	64	4	showcasing	showcase	VERB
cana-1817	64	5	the	the	DET
cana-1817	64	6	versatility	versatility	NOUN
cana-1817	64	7	in	in	ADP
cana-1817	64	8	this	this	DET
cana-1817	64	9	domain	domain	NOUN
cana-1817	64	10	.	.	PUNCT
cana-1817	65	1	dense	dense	ADJ
cana-1817	65	2	v	v	ADP
cana-1817	65	3	net	net	NOUN
cana-1817	65	4	[	[	X
cana-1817	65	5	13	13	NUM
cana-1817	65	6	]	]	PUNCT
cana-1817	65	7	performed	perform	VERB
cana-1817	65	8	extremely	extremely	ADV
cana-1817	65	9	well	well	ADV
cana-1817	65	10	on	on	ADP
cana-1817	65	11	both	both	CCONJ
cana-1817	65	12	small	small	ADJ
cana-1817	65	13	and	and	CCONJ
cana-1817	65	14	large	large	ADJ
cana-1817	65	15	abdomen	abdomen	NOUN
cana-1817	65	16	organs	organ	NOUN
cana-1817	65	17	particularly	particularly	ADV
cana-1817	65	18	emphasizing	emphasize	VERB
cana-1817	65	19	organs	organ	NOUN
cana-1817	65	20	linked	link	VERB
cana-1817	65	21	to	to	ADP
cana-1817	65	22	the	the	DET
cana-1817	65	23	gastrointestinal	gastrointestinal	ADJ
cana-1817	65	24	tract	tract	NOUN
cana-1817	65	25	,	,	PUNCT
cana-1817	65	26	a	a	DET
cana-1817	65	27	critical	critical	ADJ
cana-1817	65	28	aspect	aspect	NOUN
cana-1817	65	29	for	for	ADP
cana-1817	65	30	navigation	navigation	NOUN
cana-1817	65	31	during	during	ADP
cana-1817	65	32	endoscopic	endoscopic	ADJ
cana-1817	65	33	procedures	procedure	NOUN
cana-1817	65	34	.	.	PUNCT
cana-1817	66	1	the	the	DET
cana-1817	66	2	contribution	contribution	NOUN
cana-1817	66	3	involved	involve	VERB
cana-1817	66	4	upsampling	upsample	VERB
cana-1817	66	5	and	and	CCONJ
cana-1817	66	6	downsampling	downsample	VERB
cana-1817	66	7	with	with	ADP
cana-1817	66	8	skip	skip	ADJ
cana-1817	66	9	connections	connection	NOUN
cana-1817	66	10	and	and	CCONJ
cana-1817	66	11	batch	batch	VERB
cana-1817	66	12	wise	wise	ADJ
cana-1817	66	13	spatial	spatial	ADJ
cana-1817	66	14	drop	drop	NOUN
cana-1817	66	15	out	out	ADP
cana-1817	66	16	.	.	PUNCT
cana-1817	67	1	in	in	ADP
cana-1817	67	2	a	a	DET
cana-1817	67	3	related	related	ADJ
cana-1817	67	4	study	study	NOUN
cana-1817	67	5	,	,	PUNCT
cana-1817	67	6	deep	deep	ADJ
cana-1817	67	7	multi	multi	ADJ
cana-1817	67	8	-	-	ADJ
cana-1817	67	9	planar	planar	ADJ
cana-1817	67	10	co	co	NOUN
cana-1817	67	11	-	-	NOUN
cana-1817	67	12	training	training	NOUN
cana-1817	67	13	stands	stand	VERB
cana-1817	67	14	out	out	ADP
cana-1817	67	15	as	as	SCONJ
cana-1817	67	16	it	it	PRON
cana-1817	67	17	harnesses	harness	VERB
cana-1817	67	18	the	the	DET
cana-1817	67	19	full	full	ADJ
cana-1817	67	20	potential	potential	NOUN
cana-1817	67	21	of	of	ADP
cana-1817	67	22	unlabeled	unlabeled	ADJ
cana-1817	67	23	data	datum	NOUN
cana-1817	67	24	to	to	ADP
cana-1817	67	25	segment	segment	NOUN
cana-1817	67	26	overlapped	overlapped	ADJ
cana-1817	67	27	organs	organ	NOUN
cana-1817	67	28	and	and	CCONJ
cana-1817	67	29	delineate	delineate	ADJ
cana-1817	67	30	boundaries	boundary	NOUN
cana-1817	67	31	of	of	ADP
cana-1817	67	32	organs	organ	NOUN
cana-1817	67	33	[	[	X
cana-1817	67	34	30].shape	30].shape	NOUN
cana-1817	67	35	-	-	PUNCT
cana-1817	67	36	guided	guide	VERB
cana-1817	67	37	ultralight	ultralight	NOUN
cana-1817	67	38	network	network	NOUN
cana-1817	67	39	(	(	PUNCT
cana-1817	67	40	sgu	sgu	NOUN
cana-1817	67	41	-	-	PUNCT
cana-1817	67	42	net	net	NOUN
cana-1817	67	43	)	)	PUNCT
cana-1817	67	44	,	,	PUNCT
cana-1817	67	45	a	a	DET
cana-1817	67	46	novel	novel	ADJ
cana-1817	67	47	approach	approach	NOUN
cana-1817	67	48	designed	design	VERB
cana-1817	67	49	for	for	ADP
cana-1817	67	50	extremely	extremely	ADV
cana-1817	67	51	efficient	efficient	ADJ
cana-1817	67	52	computational	computational	ADJ
cana-1817	67	53	performance	performance	NOUN
cana-1817	67	54	.	.	PUNCT
cana-1817	68	1	sgu	sgu	NOUN
cana-1817	68	2	-	-	PUNCT
cana-1817	68	3	net	net	NOUN
cana-1817	68	4	is	be	AUX
cana-1817	68	5	an	an	DET
cana-1817	68	6	ultra	ultra	ADJ
cana-1817	68	7	light	light	ADJ
cana-1817	68	8	convolution	convolution	NOUN
cana-1817	68	9	method	method	NOUN
cana-1817	68	10	that	that	PRON
cana-1817	68	11	aims	aim	VERB
cana-1817	68	12	to	to	PART
cana-1817	68	13	strike	strike	VERB
cana-1817	68	14	a	a	DET
cana-1817	68	15	balance	balance	NOUN
cana-1817	68	16	between	between	ADP
cana-1817	68	17	computational	computational	ADJ
cana-1817	68	18	efficiency	efficiency	NOUN
cana-1817	68	19	and	and	CCONJ
cana-1817	68	20	segmentation	segmentation	NOUN
cana-1817	68	21	accuracy	accuracy	NOUN
cana-1817	68	22	,	,	PUNCT
cana-1817	68	23	making	make	VERB
cana-1817	68	24	it	it	PRON
cana-1817	68	25	particularly	particularly	ADV
cana-1817	68	26	well	well	ADV
cana-1817	68	27	-	-	PUNCT
cana-1817	68	28	suited	suit	VERB
cana-1817	68	29	for	for	ADP
cana-1817	68	30	deployment	deployment	NOUN
cana-1817	68	31	in	in	ADP
cana-1817	68	32	resource	resource	NOUN
cana-1817	68	33	-	-	PUNCT
cana-1817	68	34	constrained	constrain	VERB
cana-1817	68	35	hardware	hardware	NOUN
cana-1817	68	36	environments	environment	NOUN
cana-1817	68	37	[	[	X
cana-1817	68	38	31	31	NUM
cana-1817	68	39	]	]	PUNCT
cana-1817	68	40	.	.	PUNCT
cana-1817	69	1	selfsupervised	selfsupervise	VERB
cana-1817	69	2	learning	learning	NOUN
cana-1817	69	3	,	,	PUNCT
cana-1817	69	4	eliminating	eliminate	VERB
cana-1817	69	5	manual	manual	ADJ
cana-1817	69	6	annotations	annotation	NOUN
cana-1817	69	7	,	,	PUNCT
cana-1817	69	8	led	lead	VERB
cana-1817	69	9	to	to	ADP
cana-1817	69	10	the	the	DET
cana-1817	69	11	self	self	NOUN
cana-1817	69	12	-	-	PUNCT
cana-1817	69	13	supervised	supervise	VERB
cana-1817	69	14	attention	attention	NOUN
cana-1817	69	15	unet	unet	NOUN
cana-1817	69	16	for	for	ADP
cana-1817	69	17	oar	oar	PROPN
cana-1817	69	18	segmentation	segmentation	NOUN
cana-1817	69	19	[	[	X
cana-1817	69	20	32	32	NUM
cana-1817	69	21	]	]	PUNCT
cana-1817	69	22	,	,	PUNCT
cana-1817	69	23	[	[	X
cana-1817	69	24	33	33	NUM
cana-1817	69	25	]	]	PUNCT
cana-1817	69	26	.	.	PUNCT
cana-1817	70	1	there	there	PRON
cana-1817	70	2	are	be	VERB
cana-1817	70	3	another	another	DET
cana-1817	70	4	u	u	ADJ
cana-1817	70	5	-	-	ADJ
cana-1817	70	6	net	net	ADJ
cana-1817	70	7	based	base	VERB
cana-1817	70	8	networks	network	NOUN
cana-1817	70	9	proposed	propose	VERB
cana-1817	70	10	named	name	VERB
cana-1817	70	11	residual	residual	ADJ
cana-1817	70	12	unet[34	unet[34	NOUN
cana-1817	70	13	]	]	X
cana-1817	70	14	,	,	PUNCT
cana-1817	70	15	nnunet[35	nnunet[35	PROPN
cana-1817	70	16	]	]	PUNCT
cana-1817	70	17	etc	etc	X
cana-1817	70	18	.	.	X
cana-1817	70	19	further	far	ADV
cana-1817	70	20	,	,	PUNCT
cana-1817	70	21	deep	deep	ADJ
cana-1817	70	22	learning	learning	NOUN
cana-1817	70	23	based	base	VERB
cana-1817	70	24	region	region	NOUN
cana-1817	70	25	growing	grow	VERB
cana-1817	70	26	technique	technique	NOUN
cana-1817	70	27	is	be	AUX
cana-1817	70	28	presented	present	VERB
cana-1817	70	29	by	by	ADP
cana-1817	70	30	[	[	X
cana-1817	70	31	36	36	NUM
cana-1817	70	32	]	]	PUNCT
cana-1817	70	33	.	.	PUNCT
cana-1817	71	1	fcnns	fcnn	NOUN
cana-1817	71	2	excel	excel	VERB
cana-1817	71	3	in	in	ADP
cana-1817	71	4	medical	medical	ADJ
cana-1817	71	5	image	image	NOUN
cana-1817	71	6	segmentation	segmentation	NOUN
cana-1817	71	7	but	but	CCONJ
cana-1817	71	8	struggle	struggle	VERB
cana-1817	71	9	with	with	ADP
cana-1817	71	10	long	long	ADJ
cana-1817	71	11	-	-	PUNCT
cana-1817	71	12	range	range	NOUN
cana-1817	71	13	spatial	spatial	ADJ
cana-1817	71	14	context	context	NOUN
cana-1817	71	15	.	.	PUNCT
cana-1817	72	1	inspired	inspire	VERB
cana-1817	72	2	by	by	ADP
cana-1817	72	3	transformer	transformer	ADJ
cana-1817	72	4	success	success	NOUN
cana-1817	72	5	in	in	ADP
cana-1817	72	6	nlp	nlp	NOUN
cana-1817	72	7	,	,	PUNCT
cana-1817	72	8	numerous	numerous	ADJ
cana-1817	72	9	studies	study	NOUN
cana-1817	72	10	has	have	AUX
cana-1817	72	11	been	be	AUX
cana-1817	72	12	conducted	conduct	VERB
cana-1817	72	13	in	in	ADP
cana-1817	72	14	research	research	NOUN
cana-1817	72	15	such	such	ADJ
cana-1817	72	16	as	as	ADP
cana-1817	72	17	axial	axial	ADJ
cana-1817	72	18	fusion	fusion	NOUN
cana-1817	72	19	transformer	transformer	NOUN
cana-1817	72	20	unet	unet	NOUN
cana-1817	73	1	[	[	X
cana-1817	73	2	37	37	NUM
cana-1817	73	3	]	]	PUNCT
cana-1817	73	4	,	,	PUNCT
cana-1817	73	5	unet	unet	NOUN
cana-1817	73	6	transformers	transformer	NOUN
cana-1817	73	7	(	(	PUNCT
cana-1817	73	8	unetr	unetr	PROPN
cana-1817	73	9	)	)	PUNCT
cana-1817	73	10	,	,	PUNCT
cana-1817	73	11	retaining	retain	VERB
cana-1817	73	12	the	the	DET
cana-1817	73	13	"	"	PUNCT
cana-1817	73	14	u	u	ADJ
cana-1817	73	15	-	-	ADJ
cana-1817	73	16	shaped	shaped	ADJ
cana-1817	73	17	"	"	PUNCT
cana-1817	73	18	architecture	architecture	NOUN
cana-1817	73	19	[	[	X
cana-1817	73	20	38	38	NUM
cana-1817	73	21	]	]	PUNCT
cana-1817	73	22	.	.	PUNCT
cana-1817	74	1	a	a	DET
cana-1817	74	2	study	study	NOUN
cana-1817	74	3	proposed	propose	VERB
cana-1817	74	4	the	the	DET
cana-1817	74	5	cross	cross	ADJ
cana-1817	74	6	-	-	ADJ
cana-1817	74	7	convolutional	convolutional	ADJ
cana-1817	74	8	transformer	transformer	NOUN
cana-1817	74	9	network	network	NOUN
cana-1817	74	10	(	(	PUNCT
cana-1817	74	11	c2former	c2former	NOUN
cana-1817	74	12	)	)	PUNCT
cana-1817	74	13	as	as	ADP
cana-1817	74	14	a	a	DET
cana-1817	74	15	solution	solution	NOUN
cana-1817	74	16	for	for	ADP
cana-1817	74	17	image	image	NOUN
cana-1817	74	18	segmentation	segmentation	NOUN
cana-1817	74	19	challenges	challenge	NOUN
cana-1817	74	20	.	.	PUNCT
cana-1817	75	1	a	a	DET
cana-1817	75	2	central	central	ADJ
cana-1817	75	3	innovation	innovation	NOUN
cana-1817	75	4	is	be	AUX
cana-1817	75	5	the	the	DET
cana-1817	75	6	redesign	redesign	NOUN
cana-1817	75	7	of	of	ADP
cana-1817	75	8	a	a	DET
cana-1817	75	9	cross	cross	ADJ
cana-1817	75	10	-	-	ADJ
cana-1817	75	11	convolutional	convolutional	ADJ
cana-1817	75	12	selfcommunications	selfcommunication	NOUN
cana-1817	75	13	on	on	ADP
cana-1817	75	14	applied	apply	VERB
cana-1817	75	15	nonlinear	nonlinear	ADJ
cana-1817	75	16	analysis	analysis	NOUN
cana-1817	75	17	issn	issn	NOUN
cana-1817	75	18	:	:	PUNCT
cana-1817	75	19	1074	1074	NUM
cana-1817	75	20	-	-	PUNCT
cana-1817	75	21	133x	133x	NUM
cana-1817	75	22	vol	vol	NOUN
cana-1817	75	23	32	32	NUM
cana-1817	75	24	no	no	NOUN
cana-1817	75	25	.	.	NOUN
cana-1817	75	26	2	2	NUM
cana-1817	75	27	(	(	PUNCT
cana-1817	75	28	2025	2025	NUM
cana-1817	75	29	)	)	PUNCT
cana-1817	75	30	564	564	NUM
cana-1817	75	31	attention	attention	NOUN
cana-1817	75	32	mechanism	mechanism	NOUN
cana-1817	75	33	that	that	PRON
cana-1817	75	34	effectively	effectively	ADV
cana-1817	75	35	integrates	integrate	VERB
cana-1817	75	36	both	both	DET
cana-1817	75	37	local	local	ADJ
cana-1817	75	38	and	and	CCONJ
cana-1817	75	39	global	global	ADJ
cana-1817	75	40	context	context	NOUN
cana-1817	75	41	information	information	NOUN
cana-1817	75	42	while	while	SCONJ
cana-1817	75	43	modeling	model	VERB
cana-1817	75	44	dependencies	dependency	NOUN
cana-1817	75	45	,	,	PUNCT
cana-1817	75	46	thus	thus	ADV
cana-1817	75	47	enhancing	enhance	VERB
cana-1817	75	48	the	the	DET
cana-1817	75	49	model	model	NOUN
cana-1817	75	50	's	's	PART
cana-1817	75	51	ability	ability	NOUN
cana-1817	75	52	to	to	PART
cana-1817	75	53	understand	understand	VERB
cana-1817	75	54	the	the	DET
cana-1817	75	55	semantic	semantic	ADJ
cana-1817	75	56	features	feature	NOUN
cana-1817	75	57	within	within	ADP
cana-1817	75	58	images	image	NOUN
cana-1817	75	59	[	[	X
cana-1817	75	60	39	39	NUM
cana-1817	75	61	]	]	PUNCT
cana-1817	75	62	.	.	PUNCT
cana-1817	76	1	inspired	inspire	VERB
cana-1817	76	2	from	from	ADP
cana-1817	76	3	the	the	DET
cana-1817	76	4	success	success	NOUN
cana-1817	76	5	of	of	ADP
cana-1817	76	6	the	the	DET
cana-1817	76	7	u	u	ADJ
cana-1817	76	8	-	-	ADJ
cana-1817	76	9	net	net	ADJ
cana-1817	76	10	encoder	encoder	NOUN
cana-1817	76	11	-	-	PUNCT
cana-1817	76	12	decoder	decoder	NOUN
cana-1817	76	13	architecture	architecture	NOUN
cana-1817	76	14	,	,	PUNCT
cana-1817	76	15	x	x	X
cana-1817	76	16	-	-	ADJ
cana-1817	76	17	net	net	ADJ
cana-1817	76	18	is	be	AUX
cana-1817	76	19	utilized	utilize	VERB
cana-1817	76	20	as	as	ADP
cana-1817	76	21	baseline	baseline	NOUN
cana-1817	76	22	in	in	ADP
cana-1817	76	23	the	the	DET
cana-1817	76	24	proposed	propose	VERB
cana-1817	76	25	work	work	NOUN
cana-1817	76	26	.	.	PUNCT
cana-1817	77	1	x	x	X
cana-1817	77	2	-	-	NOUN
cana-1817	77	3	net	net	ADJ
cana-1817	77	4	was	be	AUX
cana-1817	77	5	never	never	ADV
cana-1817	77	6	explored	explore	VERB
cana-1817	77	7	for	for	ADP
cana-1817	77	8	this	this	DET
cana-1817	77	9	task	task	NOUN
cana-1817	77	10	and	and	CCONJ
cana-1817	77	11	this	this	DET
cana-1817	77	12	study	study	NOUN
cana-1817	77	13	is	be	AUX
cana-1817	77	14	the	the	DET
cana-1817	77	15	first	first	ADJ
cana-1817	77	16	to	to	PART
cana-1817	77	17	apply	apply	VERB
cana-1817	77	18	x	x	NOUN
cana-1817	77	19	-	-	NOUN
cana-1817	77	20	net	net	ADJ
cana-1817	77	21	to	to	ADP
cana-1817	77	22	abdominal	abdominal	ADJ
cana-1817	77	23	organ	organ	NOUN
cana-1817	77	24	segmentation	segmentation	NOUN
cana-1817	77	25	.	.	PUNCT
cana-1817	78	1	the	the	DET
cana-1817	78	2	accurate	accurate	ADJ
cana-1817	78	3	segmentation	segmentation	NOUN
cana-1817	78	4	of	of	ADP
cana-1817	78	5	small	small	ADJ
cana-1817	78	6	organs	organ	NOUN
cana-1817	78	7	remains	remain	VERB
cana-1817	78	8	a	a	DET
cana-1817	78	9	significant	significant	ADJ
cana-1817	78	10	challenge	challenge	NOUN
cana-1817	78	11	,	,	PUNCT
cana-1817	78	12	which	which	PRON
cana-1817	78	13	leads	lead	VERB
cana-1817	78	14	to	to	ADP
cana-1817	78	15	performance	performance	NOUN
cana-1817	78	16	degradation	degradation	NOUN
cana-1817	78	17	of	of	ADP
cana-1817	78	18	the	the	DET
cana-1817	78	19	model	model	NOUN
cana-1817	78	20	.	.	PUNCT
cana-1817	79	1	in	in	ADP
cana-1817	79	2	pmos	pmos	PROPN
cana-1817	79	3	model	model	NOUN
cana-1817	79	4	,	,	PUNCT
cana-1817	79	5	additional	additional	ADJ
cana-1817	79	6	feature	feature	NOUN
cana-1817	79	7	extraction	extraction	NOUN
cana-1817	79	8	stage	stage	NOUN
cana-1817	79	9	is	be	AUX
cana-1817	79	10	provided	provide	VERB
cana-1817	79	11	and	and	CCONJ
cana-1817	79	12	it	it	PRON
cana-1817	79	13	avoids	avoid	VERB
cana-1817	79	14	over	over	ADP
cana-1817	79	15	fitting	fitting	ADJ
cana-1817	79	16	using	use	VERB
cana-1817	79	17	l2	l2	NOUN
cana-1817	79	18	regularization	regularization	NOUN
cana-1817	79	19	.	.	PUNCT
cana-1817	80	1	x	x	X
cana-1817	80	2	-	-	ADJ
cana-1817	80	3	net	net	ADJ
cana-1817	80	4	excels	excel	NOUN
cana-1817	80	5	in	in	ADP
cana-1817	80	6	capturing	capture	VERB
cana-1817	80	7	spatial	spatial	ADJ
cana-1817	80	8	relationships	relationship	NOUN
cana-1817	80	9	within	within	ADP
cana-1817	80	10	images	image	NOUN
cana-1817	80	11	,	,	PUNCT
cana-1817	80	12	which	which	PRON
cana-1817	80	13	is	be	AUX
cana-1817	80	14	of	of	ADP
cana-1817	80	15	paramount	paramount	ADJ
cana-1817	80	16	importance	importance	NOUN
cana-1817	80	17	in	in	ADP
cana-1817	80	18	multi	multi	ADJ
cana-1817	80	19	-	-	ADJ
cana-1817	80	20	organ	organ	ADJ
cana-1817	80	21	segmentation	segmentation	NOUN
cana-1817	80	22	for	for	ADP
cana-1817	80	23	accurately	accurately	ADV
cana-1817	80	24	outlining	outline	VERB
cana-1817	80	25	organ	organ	NOUN
cana-1817	80	26	boundaries	boundary	NOUN
cana-1817	80	27	.	.	PUNCT
cana-1817	81	1	secondly	secondly	ADV
cana-1817	81	2	,	,	PUNCT
cana-1817	81	3	its	its	PRON
cana-1817	81	4	deep	deep	ADJ
cana-1817	81	5	architecture	architecture	NOUN
cana-1817	81	6	enables	enable	VERB
cana-1817	81	7	the	the	DET
cana-1817	81	8	learning	learning	NOUN
cana-1817	81	9	of	of	ADP
cana-1817	81	10	hierarchical	hierarchical	ADJ
cana-1817	81	11	features	feature	NOUN
cana-1817	81	12	from	from	ADP
cana-1817	81	13	medical	medical	ADJ
cana-1817	81	14	images	image	NOUN
cana-1817	81	15	[	[	X
cana-1817	81	16	40	40	NUM
cana-1817	81	17	]	]	PUNCT
cana-1817	81	18	.	.	PUNCT
cana-1817	82	1	our	our	PRON
cana-1817	82	2	study	study	NOUN
cana-1817	82	3	has	have	AUX
cana-1817	82	4	incorporated	incorporate	VERB
cana-1817	82	5	three	three	NUM
cana-1817	82	6	layer	layer	NOUN
cana-1817	82	7	dense	dense	ADJ
cana-1817	82	8	blocks	block	NOUN
cana-1817	82	9	to	to	ADP
cana-1817	82	10	the	the	DET
cana-1817	82	11	x	x	NOUN
cana-1817	82	12	-	-	NOUN
cana-1817	82	13	net	net	ADJ
cana-1817	82	14	hence	hence	ADV
cana-1817	82	15	named	name	VERB
cana-1817	82	16	as	as	ADP
cana-1817	82	17	x	x	NOUN
cana-1817	82	18	-	-	NOUN
cana-1817	82	19	densenet	densenet	NOUN
cana-1817	82	20	.	.	PUNCT
cana-1817	83	1	the	the	DET
cana-1817	83	2	more	more	ADV
cana-1817	83	3	detailed	detailed	ADJ
cana-1817	83	4	architecture	architecture	NOUN
cana-1817	83	5	is	be	AUX
cana-1817	83	6	discussed	discuss	VERB
cana-1817	83	7	in	in	ADP
cana-1817	83	8	section	section	NOUN
cana-1817	83	9	3.2	3.2	NUM
cana-1817	83	10	.	.	PUNCT
cana-1817	84	1	the	the	DET
cana-1817	84	2	comparison	comparison	NOUN
cana-1817	84	3	of	of	ADP
cana-1817	84	4	different	different	ADJ
cana-1817	84	5	network	network	NOUN
cana-1817	84	6	variants	variant	NOUN
cana-1817	84	7	of	of	ADP
cana-1817	84	8	the	the	DET
cana-1817	84	9	proposed	propose	VERB
cana-1817	84	10	study	study	NOUN
cana-1817	84	11	is	be	AUX
cana-1817	84	12	presented	present	VERB
cana-1817	84	13	in	in	ADP
cana-1817	84	14	ablation	ablation	NOUN
cana-1817	84	15	study	study	NOUN
cana-1817	84	16	section	section	NOUN
cana-1817	84	17	5	5	NUM
cana-1817	84	18	where	where	SCONJ
cana-1817	84	19	in	in	ADP
cana-1817	84	20	dense	dense	ADJ
cana-1817	84	21	blocks	block	NOUN
cana-1817	84	22	came	come	VERB
cana-1817	84	23	out	out	ADP
cana-1817	84	24	as	as	ADP
cana-1817	84	25	critical	critical	ADJ
cana-1817	84	26	part	part	NOUN
cana-1817	84	27	of	of	ADP
cana-1817	84	28	the	the	DET
cana-1817	84	29	architecture	architecture	NOUN
cana-1817	84	30	.	.	PUNCT
cana-1817	85	1	3	3	X
cana-1817	85	2	.	.	X
cana-1817	85	3	methods	method	NOUN
cana-1817	85	4	this	this	DET
cana-1817	85	5	section	section	NOUN
cana-1817	85	6	proposes	propose	VERB
cana-1817	85	7	a	a	DET
cana-1817	85	8	two	two	NUM
cana-1817	85	9	phased	phase	VERB
cana-1817	85	10	approach	approach	NOUN
cana-1817	85	11	for	for	ADP
cana-1817	85	12	multiorgan	multiorgan	NOUN
cana-1817	85	13	segmentation	segmentation	NOUN
cana-1817	85	14	for	for	ADP
cana-1817	85	15	abdomen	abdomen	NOUN
cana-1817	85	16	ct	ct	NUM
cana-1817	85	17	images	image	NOUN
cana-1817	85	18	.	.	PUNCT
cana-1817	86	1	fig	fig	NOUN
cana-1817	86	2	1	1	NUM
cana-1817	86	3	shows	show	VERB
cana-1817	86	4	the	the	DET
cana-1817	86	5	schematic	schematic	ADJ
cana-1817	86	6	diagram	diagram	NOUN
cana-1817	86	7	of	of	ADP
cana-1817	86	8	the	the	DET
cana-1817	86	9	two	two	NUM
cana-1817	86	10	phases	phase	NOUN
cana-1817	86	11	of	of	ADP
cana-1817	86	12	the	the	DET
cana-1817	86	13	proposed	propose	VERB
cana-1817	86	14	methodology	methodology	NOUN
cana-1817	86	15	.	.	PUNCT
cana-1817	87	1	the	the	DET
cana-1817	87	2	two	two	NUM
cana-1817	87	3	phases	phase	NOUN
cana-1817	87	4	are	be	AUX
cana-1817	87	5	(	(	PUNCT
cana-1817	87	6	a	a	X
cana-1817	87	7	)	)	PUNCT
cana-1817	87	8	opticlahe	opticlahe	NOUN
cana-1817	87	9	–	–	PUNCT
cana-1817	87	10	weighted	weight	VERB
cana-1817	87	11	gwo	gwo	PROPN
cana-1817	87	12	(	(	PUNCT
cana-1817	87	13	b	b	NOUN
cana-1817	87	14	)	)	PUNCT
cana-1817	87	15	x	x	NOUN
cana-1817	87	16	-	-	NOUN
cana-1817	87	17	densenet	densenet	NOUN
cana-1817	87	18	.	.	PUNCT
cana-1817	88	1	the	the	DET
cana-1817	88	2	more	more	ADV
cana-1817	88	3	detailed	detailed	ADJ
cana-1817	88	4	methodology	methodology	NOUN
cana-1817	88	5	of	of	ADP
cana-1817	88	6	two	two	NUM
cana-1817	88	7	phases	phase	NOUN
cana-1817	88	8	is	be	AUX
cana-1817	88	9	explained	explain	VERB
cana-1817	88	10	in	in	ADP
cana-1817	88	11	section	section	NOUN
cana-1817	88	12	3.1	3.1	NUM
cana-1817	88	13	and	and	CCONJ
cana-1817	88	14	section	section	NOUN
cana-1817	88	15	3.2	3.2	NUM
cana-1817	88	16	.	.	PUNCT
cana-1817	89	1	3.1	3.1	NUM
cana-1817	89	2	optimized	optimize	VERB
cana-1817	89	3	contrast	contrast	NOUN
cana-1817	89	4	limited	limit	VERB
cana-1817	89	5	adaptive	adaptive	ADJ
cana-1817	89	6	histogram	histogram	NOUN
cana-1817	89	7	equalization	equalization	NOUN
cana-1817	89	8	-	-	PUNCT
cana-1817	89	9	weighted	weight	VERB
cana-1817	89	10	grey	grey	PROPN
cana-1817	89	11	wolf	wolf	PROPN
cana-1817	89	12	optimization	optimization	NOUN
cana-1817	89	13	(	(	PUNCT
cana-1817	89	14	opticlahe	opticlahe	NOUN
cana-1817	89	15	-	-	PUNCT
cana-1817	89	16	weighted	weight	VERB
cana-1817	89	17	gwo	gwo	NOUN
cana-1817	89	18	)	)	PUNCT
cana-1817	89	19	the	the	DET
cana-1817	89	20	low	low	ADJ
cana-1817	89	21	contrast	contrast	NOUN
cana-1817	89	22	in	in	ADP
cana-1817	89	23	medical	medical	ADJ
cana-1817	89	24	images	image	NOUN
cana-1817	89	25	poses	pose	VERB
cana-1817	89	26	a	a	DET
cana-1817	89	27	challenge	challenge	NOUN
cana-1817	89	28	for	for	ADP
cana-1817	89	29	accurate	accurate	ADJ
cana-1817	89	30	multi	multi	ADJ
cana-1817	89	31	-	-	ADJ
cana-1817	89	32	organ	organ	ADJ
cana-1817	89	33	segmentation	segmentation	NOUN
cana-1817	89	34	[	[	X
cana-1817	89	35	4	4	NUM
cana-1817	89	36	]	]	PUNCT
cana-1817	89	37	.	.	PUNCT
cana-1817	90	1	while	while	SCONJ
cana-1817	90	2	various	various	ADJ
cana-1817	90	3	methods	method	NOUN
cana-1817	90	4	exist	exist	VERB
cana-1817	90	5	to	to	PART
cana-1817	90	6	address	address	VERB
cana-1817	90	7	this	this	DET
cana-1817	90	8	issue	issue	NOUN
cana-1817	90	9	,	,	PUNCT
cana-1817	90	10	histogram	histogram	NOUN
cana-1817	90	11	-	-	PUNCT
cana-1817	90	12	based	base	VERB
cana-1817	90	13	techniques	technique	NOUN
cana-1817	90	14	,	,	PUNCT
cana-1817	90	15	particularly	particularly	ADV
cana-1817	90	16	contrast	contrast	VERB
cana-1817	90	17	limited	limited	ADJ
cana-1817	90	18	adaptive	adaptive	ADJ
cana-1817	90	19	histogram	histogram	NOUN
cana-1817	90	20	equalization	equalization	NOUN
cana-1817	90	21	(	(	PUNCT
cana-1817	90	22	clahe	clahe	PROPN
cana-1817	90	23	)	)	PUNCT
cana-1817	90	24	,	,	PUNCT
cana-1817	90	25	have	have	AUX
cana-1817	90	26	proven	prove	VERB
cana-1817	90	27	to	to	PART
cana-1817	90	28	be	be	AUX
cana-1817	90	29	notably	notably	ADV
cana-1817	90	30	effective	effective	ADJ
cana-1817	90	31	in	in	ADP
cana-1817	90	32	enhancing	enhance	VERB
cana-1817	90	33	contrast	contrast	NOUN
cana-1817	90	34	across	across	ADP
cana-1817	90	35	diverse	diverse	ADJ
cana-1817	90	36	medical	medical	ADJ
cana-1817	90	37	image	image	NOUN
cana-1817	90	38	anatomies	anatomy	NOUN
cana-1817	90	39	[	[	X
cana-1817	90	40	41	41	NUM
cana-1817	90	41	]	]	PUNCT
cana-1817	90	42	.	.	PUNCT
cana-1817	91	1	clahe	clahe	PROPN
cana-1817	91	2	distinguishes	distinguish	VERB
cana-1817	91	3	itself	itself	PRON
cana-1817	91	4	from	from	ADP
cana-1817	91	5	its	its	PRON
cana-1817	91	6	predecessor	predecessor	NOUN
cana-1817	91	7	,	,	PUNCT
cana-1817	91	8	adaptive	adaptive	ADJ
cana-1817	91	9	histogram	histogram	NOUN
cana-1817	91	10	equalization	equalization	NOUN
cana-1817	91	11	(	(	PUNCT
cana-1817	91	12	ahe	ahe	NOUN
cana-1817	91	13	)	)	PUNCT
cana-1817	91	14	,	,	PUNCT
cana-1817	91	15	by	by	ADP
cana-1817	91	16	thwarting	thwart	VERB
cana-1817	91	17	excessive	excessive	ADJ
cana-1817	91	18	contrast	contrast	NOUN
cana-1817	91	19	amplification	amplification	NOUN
cana-1817	91	20	and	and	CCONJ
cana-1817	91	21	noise	noise	NOUN
cana-1817	91	22	in	in	ADP
cana-1817	91	23	the	the	DET
cana-1817	91	24	image	image	NOUN
cana-1817	91	25	.	.	PUNCT
cana-1817	92	1	this	this	PRON
cana-1817	92	2	is	be	AUX
cana-1817	92	3	accomplished	accomplish	VERB
cana-1817	92	4	by	by	ADP
cana-1817	92	5	locally	locally	ADV
cana-1817	92	6	partitioning	partition	VERB
cana-1817	92	7	the	the	DET
cana-1817	92	8	image	image	NOUN
cana-1817	92	9	into	into	ADP
cana-1817	92	10	tiles	tile	NOUN
cana-1817	92	11	or	or	CCONJ
cana-1817	92	12	sections	section	NOUN
cana-1817	92	13	(	(	PUNCT
cana-1817	92	14	tn	tn	NOUN
cana-1817	92	15	)	)	PUNCT
cana-1817	92	16	and	and	CCONJ
cana-1817	92	17	imposing	impose	VERB
cana-1817	92	18	a	a	DET
cana-1817	92	19	clip	clip	NOUN
cana-1817	92	20	limit	limit	NOUN
cana-1817	92	21	(	(	PUNCT
cana-1817	92	22	cl	cl	NOUN
cana-1817	92	23	)	)	PUNCT
cana-1817	92	24	on	on	ADP
cana-1817	92	25	each	each	PRON
cana-1817	92	26	of	of	ADP
cana-1817	92	27	them	they	PRON
cana-1817	92	28	.	.	PUNCT
cana-1817	93	1	the	the	DET
cana-1817	93	2	efficacy	efficacy	NOUN
cana-1817	93	3	of	of	ADP
cana-1817	93	4	clahe	clahe	PROPN
cana-1817	93	5	is	be	AUX
cana-1817	93	6	influenced	influence	VERB
cana-1817	93	7	by	by	ADP
cana-1817	93	8	several	several	ADJ
cana-1817	93	9	parameters	parameter	NOUN
cana-1817	93	10	,	,	PUNCT
cana-1817	93	11	including	include	VERB
cana-1817	93	12	the	the	DET
cana-1817	93	13	number	number	NOUN
cana-1817	93	14	of	of	ADP
cana-1817	93	15	tiles	tile	NOUN
cana-1817	93	16	,	,	PUNCT
cana-1817	93	17	clip	clip	NOUN
cana-1817	93	18	limit	limit	NOUN
cana-1817	93	19	,	,	PUNCT
cana-1817	93	20	and	and	CCONJ
cana-1817	93	21	the	the	DET
cana-1817	93	22	redistribution	redistribution	NOUN
cana-1817	93	23	of	of	ADP
cana-1817	93	24	intensity	intensity	NOUN
cana-1817	93	25	range	range	NOUN
cana-1817	93	26	.	.	PUNCT
cana-1817	94	1	a	a	DET
cana-1817	94	2	low	low	ADJ
cana-1817	94	3	clip	clip	NOUN
cana-1817	94	4	value	value	NOUN
cana-1817	94	5	results	result	NOUN
cana-1817	94	6	in	in	ADP
cana-1817	94	7	gradual	gradual	ADJ
cana-1817	94	8	slope	slope	NOUN
cana-1817	94	9	of	of	ADP
cana-1817	94	10	the	the	DET
cana-1817	94	11	equalized	equalized	ADJ
cana-1817	94	12	histogram	histogram	NOUN
cana-1817	94	13	,	,	PUNCT
cana-1817	94	14	resulting	result	VERB
cana-1817	94	15	in	in	ADP
cana-1817	94	16	a	a	DET
cana-1817	94	17	modest	modest	ADJ
cana-1817	94	18	enhancement	enhancement	NOUN
cana-1817	94	19	of	of	ADP
cana-1817	94	20	contrast	contrast	NOUN
cana-1817	94	21	.	.	PUNCT
cana-1817	95	1	conversely	conversely	ADV
cana-1817	95	2	,	,	PUNCT
cana-1817	95	3	a	a	DET
cana-1817	95	4	high	high	ADJ
cana-1817	95	5	clip	clip	NOUN
cana-1817	95	6	limit	limit	NOUN
cana-1817	95	7	sidesteps	sidestep	VERB
cana-1817	95	8	the	the	DET
cana-1817	95	9	redistribution	redistribution	NOUN
cana-1817	95	10	of	of	ADP
cana-1817	95	11	histogram	histogram	NOUN
cana-1817	95	12	bins	bin	NOUN
cana-1817	95	13	but	but	CCONJ
cana-1817	95	14	becomes	become	VERB
cana-1817	95	15	more	more	ADV
cana-1817	95	16	prone	prone	ADJ
cana-1817	95	17	to	to	PART
cana-1817	95	18	noise	noise	VERB
cana-1817	95	19	[	[	X
cana-1817	95	20	6	6	NUM
cana-1817	95	21	]	]	PUNCT
cana-1817	95	22	.	.	PUNCT
cana-1817	96	1	thus	thus	ADV
cana-1817	96	2	,	,	PUNCT
cana-1817	96	3	it	it	PRON
cana-1817	96	4	is	be	AUX
cana-1817	96	5	crucial	crucial	ADJ
cana-1817	96	6	to	to	PART
cana-1817	96	7	make	make	VERB
cana-1817	96	8	a	a	DET
cana-1817	96	9	careful	careful	ADJ
cana-1817	96	10	selection	selection	NOUN
cana-1817	96	11	of	of	ADP
cana-1817	96	12	the	the	DET
cana-1817	96	13	clip	clip	NOUN
cana-1817	96	14	limit	limit	NOUN
cana-1817	96	15	.	.	PUNCT
cana-1817	97	1	this	this	DET
cana-1817	97	2	study	study	NOUN
cana-1817	97	3	focuses	focus	VERB
cana-1817	97	4	on	on	ADP
cana-1817	97	5	automatic	automatic	ADJ
cana-1817	97	6	selection	selection	NOUN
cana-1817	97	7	of	of	ADP
cana-1817	97	8	the	the	DET
cana-1817	97	9	optimized	optimize	VERB
cana-1817	97	10	clip	clip	NOUN
cana-1817	97	11	limit	limit	NOUN
cana-1817	97	12	.	.	PUNCT
cana-1817	98	1	the	the	DET
cana-1817	98	2	search	search	NOUN
cana-1817	98	3	space	space	NOUN
cana-1817	98	4	,	,	PUNCT
cana-1817	98	5	which	which	PRON
cana-1817	98	6	refers	refer	VERB
cana-1817	98	7	to	to	ADP
cana-1817	98	8	the	the	DET
cana-1817	98	9	range	range	NOUN
cana-1817	98	10	of	of	ADP
cana-1817	98	11	possible	possible	ADJ
cana-1817	98	12	solutions	solution	NOUN
cana-1817	98	13	for	for	ADP
cana-1817	98	14	clip	clip	NOUN
cana-1817	98	15	limit	limit	NOUN
cana-1817	98	16	,	,	PUNCT
cana-1817	98	17	is	be	AUX
cana-1817	98	18	vast	vast	ADJ
cana-1817	98	19	and	and	CCONJ
cana-1817	98	20	intricate	intricate	ADJ
cana-1817	98	21	,	,	PUNCT
cana-1817	98	22	with	with	ADP
cana-1817	98	23	numerous	numerous	ADJ
cana-1817	98	24	potential	potential	ADJ
cana-1817	98	25	optimal	optimal	ADJ
cana-1817	98	26	points	point	NOUN
cana-1817	98	27	.	.	PUNCT
cana-1817	99	1	this	this	PRON
cana-1817	99	2	is	be	AUX
cana-1817	99	3	where	where	SCONJ
cana-1817	99	4	meta	meta	X
cana-1817	99	5	-	-	PUNCT
cana-1817	99	6	heuristics	heuristic	NOUN
cana-1817	99	7	,	,	PUNCT
cana-1817	99	8	versatile	versatile	ADJ
cana-1817	99	9	problem	problem	NOUN
cana-1817	99	10	-	-	PUNCT
cana-1817	99	11	solving	solve	VERB
cana-1817	99	12	strategies	strategy	NOUN
cana-1817	99	13	,	,	PUNCT
cana-1817	99	14	come	come	VERB
cana-1817	99	15	into	into	ADP
cana-1817	99	16	play	play	NOUN
cana-1817	99	17	.	.	PUNCT
cana-1817	100	1	these	these	DET
cana-1817	100	2	methods	method	NOUN
cana-1817	100	3	begin	begin	VERB
cana-1817	100	4	with	with	ADP
cana-1817	100	5	a	a	DET
cana-1817	100	6	diverse	diverse	ADJ
cana-1817	100	7	initial	initial	ADJ
cana-1817	100	8	set	set	NOUN
cana-1817	100	9	of	of	ADP
cana-1817	100	10	potential	potential	ADJ
cana-1817	100	11	solutions	solution	NOUN
cana-1817	100	12	.	.	PUNCT
cana-1817	101	1	as	as	SCONJ
cana-1817	101	2	the	the	DET
cana-1817	101	3	process	process	NOUN
cana-1817	101	4	unfolds	unfold	VERB
cana-1817	101	5	through	through	ADP
cana-1817	101	6	iterations	iteration	NOUN
cana-1817	101	7	,	,	PUNCT
cana-1817	101	8	these	these	DET
cana-1817	101	9	solutions	solution	NOUN
cana-1817	101	10	are	be	AUX
cana-1817	101	11	refined	refine	VERB
cana-1817	101	12	and	and	CCONJ
cana-1817	101	13	improved	improve	VERB
cana-1817	101	14	.	.	PUNCT
cana-1817	102	1	population	population	NOUN
cana-1817	102	2	-	-	PUNCT
cana-1817	102	3	based	base	VERB
cana-1817	102	4	algorithms	algorithm	NOUN
cana-1817	102	5	,	,	PUNCT
cana-1817	102	6	such	such	ADJ
cana-1817	102	7	as	as	ADP
cana-1817	102	8	swarm	swarm	NOUN
cana-1817	102	9	intelligence	intelligence	NOUN
cana-1817	102	10	(	(	PUNCT
cana-1817	102	11	si	si	NOUN
cana-1817	102	12	)	)	PUNCT
cana-1817	102	13	algorithms	algorithm	NOUN
cana-1817	102	14	,	,	PUNCT
cana-1817	102	15	are	be	AUX
cana-1817	102	16	particularly	particularly	ADV
cana-1817	102	17	adept	adept	ADJ
cana-1817	102	18	at	at	ADP
cana-1817	102	19	this	this	PRON
cana-1817	102	20	.	.	PUNCT
cana-1817	103	1	they	they	PRON
cana-1817	103	2	retain	retain	VERB
cana-1817	103	3	and	and	CCONJ
cana-1817	103	4	utilize	utilize	VERB
cana-1817	103	5	crucial	crucial	ADJ
cana-1817	103	6	information	information	NOUN
cana-1817	103	7	about	about	ADP
cana-1817	103	8	the	the	DET
cana-1817	103	9	search	search	NOUN
cana-1817	103	10	space	space	NOUN
cana-1817	103	11	throughout	throughout	ADP
cana-1817	103	12	the	the	DET
cana-1817	103	13	iterative	iterative	NOUN
cana-1817	103	14	process	process	NOUN
cana-1817	103	15	[	[	X
cana-1817	103	16	7	7	NUM
cana-1817	103	17	]	]	PUNCT
cana-1817	103	18	.	.	PUNCT
cana-1817	104	1	in	in	ADP
cana-1817	104	2	this	this	DET
cana-1817	104	3	research	research	NOUN
cana-1817	104	4	study	study	NOUN
cana-1817	104	5	,	,	PUNCT
cana-1817	104	6	si	si	PROPN
cana-1817	104	7	algorithm	algorithm	NOUN
cana-1817	104	8	named	name	VERB
cana-1817	104	9	grey	grey	PROPN
cana-1817	104	10	wolf	wolf	PROPN
cana-1817	104	11	is	be	AUX
cana-1817	104	12	improved	improve	VERB
cana-1817	104	13	by	by	ADP
cana-1817	104	14	focusing	focus	VERB
cana-1817	104	15	more	more	ADV
cana-1817	104	16	on	on	ADP
cana-1817	104	17	better	well	ADJ
cana-1817	104	18	search	search	NOUN
cana-1817	104	19	space	space	NOUN
cana-1817	104	20	,	,	PUNCT
cana-1817	104	21	information	information	NOUN
cana-1817	104	22	preservation	preservation	NOUN
cana-1817	104	23	and	and	CCONJ
cana-1817	104	24	convergence	convergence	NOUN
cana-1817	104	25	speed	speed	NOUN
cana-1817	104	26	.	.	PUNCT
cana-1817	105	1	fig	fig	NOUN
cana-1817	105	2	.	.	PUNCT
cana-1817	106	1	2	2	NUM
cana-1817	106	2	g	g	NOUN
cana-1817	106	3	2	2	NUM
cana-1817	106	4	depicts	depict	VERB
cana-1817	106	5	the	the	DET
cana-1817	106	6	schematic	schematic	ADJ
cana-1817	106	7	diagram	diagram	NOUN
cana-1817	106	8	of	of	ADP
cana-1817	106	9	first	first	ADJ
cana-1817	106	10	phase	phase	NOUN
cana-1817	106	11	of	of	ADP
cana-1817	106	12	the	the	DET
cana-1817	106	13	methodology	methodology	NOUN
cana-1817	106	14	.	.	PUNCT
cana-1817	107	1	the	the	DET
cana-1817	107	2	steps	step	NOUN
cana-1817	107	3	in	in	ADP
cana-1817	107	4	the	the	DET
cana-1817	107	5	opticlahe	opticlahe	NOUN
cana-1817	107	6	-	-	PUNCT
cana-1817	107	7	weighted	weight	VERB
cana-1817	107	8	gwo	gwo	PROPN
cana-1817	107	9	algorithm	algorithm	PROPN
cana-1817	107	10	are	be	AUX
cana-1817	107	11	given	give	VERB
cana-1817	107	12	below	below	ADP
cana-1817	107	13	:	:	PUNCT
cana-1817	107	14	communications	communication	NOUN
cana-1817	107	15	on	on	ADP
cana-1817	107	16	applied	apply	VERB
cana-1817	107	17	nonlinear	nonlinear	ADJ
cana-1817	107	18	analysis	analysis	NOUN
cana-1817	107	19	issn	issn	NOUN
cana-1817	107	20	:	:	PUNCT
cana-1817	107	21	1074	1074	NUM
cana-1817	107	22	-	-	PUNCT
cana-1817	107	23	133x	133x	NUM
cana-1817	107	24	vol	vol	NOUN
cana-1817	107	25	32	32	NUM
cana-1817	107	26	no	no	NOUN
cana-1817	107	27	.	.	NOUN
cana-1817	107	28	2	2	NUM
cana-1817	107	29	(	(	PUNCT
cana-1817	107	30	2025	2025	NUM
cana-1817	107	31	)	)	PUNCT
cana-1817	107	32	565	565	NUM
cana-1817	107	33	step	step	NOUN
cana-1817	107	34	1	1	NUM
cana-1817	107	35	-	-	PUNCT
cana-1817	107	36	initialization	initialization	NOUN
cana-1817	107	37	.	.	PUNCT
cana-1817	108	1	the	the	DET
cana-1817	108	2	fundamental	fundamental	ADJ
cana-1817	108	3	parameter	parameter	NOUN
cana-1817	108	4	configurations	configuration	NOUN
cana-1817	108	5	in	in	ADP
cana-1817	108	6	this	this	DET
cana-1817	108	7	experiment	experiment	NOUN
cana-1817	108	8	for	for	ADP
cana-1817	108	9	weightedgwo	weightedgwo	NOUN
cana-1817	108	10	are	be	AUX
cana-1817	108	11	as	as	SCONJ
cana-1817	108	12	given	give	VERB
cana-1817	108	13	below	below	ADV
cana-1817	108	14	:	:	PUNCT
cana-1817	108	15	maximum	maximum	ADJ
cana-1817	108	16	number	number	NOUN
cana-1817	108	17	of	of	ADP
cana-1817	108	18	iterations	iteration	NOUN
cana-1817	108	19	(	(	PUNCT
cana-1817	108	20	𝑇𝑚𝑎𝑥	𝑇𝑚𝑎𝑥	NOUN
cana-1817	108	21	)	)	PUNCT
cana-1817	108	22	is	be	AUX
cana-1817	108	23	set	set	VERB
cana-1817	108	24	to	to	ADP
cana-1817	108	25	100	100	NUM
cana-1817	108	26	,	,	PUNCT
cana-1817	108	27	no	no	PRON
cana-1817	108	28	of	of	ADP
cana-1817	108	29	wolves	wolf	NOUN
cana-1817	108	30	or	or	CCONJ
cana-1817	108	31	search	search	NOUN
cana-1817	108	32	agent	agent	NOUN
cana-1817	108	33	is	be	AUX
cana-1817	108	34	designated	designate	VERB
cana-1817	108	35	as	as	ADP
cana-1817	108	36	50	50	NUM
cana-1817	108	37	and	and	CCONJ
cana-1817	108	38	the	the	DET
cana-1817	108	39	dimensionality	dimensionality	NOUN
cana-1817	108	40	is	be	AUX
cana-1817	108	41	established	establish	VERB
cana-1817	108	42	as	as	ADP
cana-1817	108	43	1	1	NUM
cana-1817	108	44	.	.	PUNCT
cana-1817	109	1	the	the	DET
cana-1817	109	2	lower	lower	ADV
cana-1817	109	3	bound	bind	VERB
cana-1817	109	4	(	(	PUNCT
cana-1817	109	5	lb	lb	NOUN
cana-1817	109	6	)	)	PUNCT
cana-1817	109	7	is	be	AUX
cana-1817	109	8	defined	define	VERB
cana-1817	109	9	as	as	ADP
cana-1817	109	10	0	0	NUM
cana-1817	109	11	;	;	PUNCT
cana-1817	109	12	while	while	SCONJ
cana-1817	109	13	the	the	DET
cana-1817	109	14	upper	upper	ADJ
cana-1817	109	15	bound	bound	ADJ
cana-1817	109	16	(	(	PUNCT
cana-1817	109	17	ub	ub	ADJ
cana-1817	109	18	)	)	PUNCT
cana-1817	109	19	is	be	AUX
cana-1817	109	20	stipulated	stipulate	VERB
cana-1817	109	21	as	as	ADP
cana-1817	109	22	100	100	NUM
cana-1817	109	23	.	.	PUNCT
cana-1817	110	1	in	in	ADP
cana-1817	110	2	each	each	DET
cana-1817	110	3	dimension	dimension	NOUN
cana-1817	110	4	,	,	PUNCT
cana-1817	110	5	stochastic	stochastic	ADJ
cana-1817	110	6	values	value	NOUN
cana-1817	110	7	within	within	ADP
cana-1817	110	8	the	the	DET
cana-1817	110	9	range	range	NOUN
cana-1817	110	10	of	of	ADP
cana-1817	110	11	0	0	NUM
cana-1817	110	12	to	to	PART
cana-1817	110	13	1	1	NUM
cana-1817	110	14	are	be	AUX
cana-1817	110	15	generated	generate	VERB
cana-1817	110	16	for	for	ADP
cana-1817	110	17	all	all	DET
cana-1817	110	18	search	search	NOUN
cana-1817	110	19	agents	agent	NOUN
cana-1817	110	20	.	.	PUNCT
cana-1817	111	1	this	this	PRON
cana-1817	111	2	yields	yield	VERB
cana-1817	111	3	search	search	NOUN
cana-1817	111	4	agents	agent	NOUN
cana-1817	111	5	with	with	ADP
cana-1817	111	6	random	random	ADJ
cana-1817	111	7	initial	initial	ADJ
cana-1817	111	8	positions	position	NOUN
cana-1817	111	9	situated	situate	VERB
cana-1817	111	10	within	within	ADP
cana-1817	111	11	the	the	DET
cana-1817	111	12	specified	specify	VERB
cana-1817	111	13	bounds	bound	NOUN
cana-1817	111	14	,	,	PUNCT
cana-1817	111	15	thereby	thereby	ADV
cana-1817	111	16	setting	set	VERB
cana-1817	111	17	the	the	DET
cana-1817	111	18	stage	stage	NOUN
cana-1817	111	19	for	for	ADP
cana-1817	111	20	the	the	DET
cana-1817	111	21	optimization	optimization	NOUN
cana-1817	111	22	process	process	NOUN
cana-1817	111	23	.	.	PUNCT
cana-1817	112	1	hence	hence	ADV
cana-1817	112	2	initialize	initialize	VERB
cana-1817	112	3	the	the	DET
cana-1817	112	4	search	search	NOUN
cana-1817	112	5	agents	agent	NOUN
cana-1817	112	6	or	or	CCONJ
cana-1817	112	7	grey	grey	PROPN
cana-1817	112	8	wolfs	wolfs	PROPN
cana-1817	112	9	say	say	VERB
cana-1817	112	10	𝑋𝑖	𝑋𝑖	PROPN
cana-1817	112	11	=	=	SYM
cana-1817	112	12	1	1	NUM
cana-1817	112	13	…	…	PUNCT
cana-1817	112	14	…	…	PUNCT
cana-1817	112	15	𝑛	𝑛	PRON
cana-1817	112	16	and	and	CCONJ
cana-1817	112	17	coefficients	coefficient	VERB
cana-1817	112	18	a	a	PRON
cana-1817	112	19	,	,	PUNCT
cana-1817	112	20	a	a	PRON
cana-1817	112	21	and	and	CCONJ
cana-1817	112	22	c.	c.	PROPN
cana-1817	112	23	fig	fig	PROPN
cana-1817	112	24	.	.	PUNCT
cana-1817	113	1	1	1	NUM
cana-1817	113	2	schematic	schematic	ADJ
cana-1817	113	3	diagram	diagram	NOUN
cana-1817	113	4	of	of	ADP
cana-1817	113	5	proposed	propose	VERB
cana-1817	113	6	approach	approach	NOUN
cana-1817	113	7	for	for	ADP
cana-1817	113	8	multiorgan	multiorgan	NOUN
cana-1817	113	9	segmentation	segmentation	NOUN
cana-1817	113	10	of	of	ADP
cana-1817	113	11	liver	liver	NOUN
cana-1817	113	12	,	,	PUNCT
cana-1817	113	13	aorta	aorta	NOUN
cana-1817	113	14	and	and	CCONJ
cana-1817	113	15	spleen	spleen	NOUN
cana-1817	113	16	step	step	NOUN
cana-1817	113	17	2objective	2objective	NUM
cana-1817	113	18	function	function	NOUN
cana-1817	113	19	.	.	PUNCT
cana-1817	114	1	the	the	DET
cana-1817	114	2	objective	objective	ADJ
cana-1817	114	3	function	function	NOUN
cana-1817	114	4	of	of	ADP
cana-1817	114	5	this	this	DET
cana-1817	114	6	experiment	experiment	NOUN
cana-1817	114	7	is	be	AUX
cana-1817	114	8	to	to	PART
cana-1817	114	9	maximize	maximize	VERB
cana-1817	114	10	the	the	DET
cana-1817	114	11	fitness	fitness	NOUN
cana-1817	114	12	value	value	NOUN
cana-1817	114	13	,	,	PUNCT
cana-1817	114	14	aiming	aim	VERB
cana-1817	114	15	to	to	PART
cana-1817	114	16	identify	identify	VERB
cana-1817	114	17	a	a	DET
cana-1817	114	18	set	set	NOUN
cana-1817	114	19	of	of	ADP
cana-1817	114	20	parameters	parameter	NOUN
cana-1817	114	21	that	that	PRON
cana-1817	114	22	yield	yield	VERB
cana-1817	114	23	the	the	DET
cana-1817	114	24	highest	high	ADJ
cana-1817	114	25	amalgamation	amalgamation	NOUN
cana-1817	114	26	of	of	ADP
cana-1817	114	27	contrast	contrast	NOUN
cana-1817	114	28	and	and	CCONJ
cana-1817	114	29	information	information	NOUN
cana-1817	114	30	content	content	NOUN
cana-1817	114	31	(	(	PUNCT
cana-1817	114	32	entropy	entropy	PROPN
cana-1817	114	33	)	)	PUNCT
cana-1817	114	34	in	in	ADP
cana-1817	114	35	the	the	DET
cana-1817	114	36	equalized	equalized	ADJ
cana-1817	114	37	image	image	NOUN
cana-1817	114	38	.	.	PUNCT
cana-1817	115	1	in	in	ADP
cana-1817	115	2	essence	essence	NOUN
cana-1817	115	3	,	,	PUNCT
cana-1817	115	4	it	it	PRON
cana-1817	115	5	seeks	seek	VERB
cana-1817	115	6	to	to	PART
cana-1817	115	7	achieve	achieve	VERB
cana-1817	115	8	equilibrium	equilibrium	NOUN
cana-1817	115	9	between	between	ADP
cana-1817	115	10	contrast	contrast	NOUN
cana-1817	115	11	enhancement	enhancement	NOUN
cana-1817	115	12	and	and	CCONJ
cana-1817	115	13	information	information	NOUN
cana-1817	115	14	preservation	preservation	NOUN
cana-1817	115	15	,	,	PUNCT
cana-1817	115	16	as	as	SCONJ
cana-1817	115	17	quantified	quantify	VERB
cana-1817	115	18	by	by	ADP
cana-1817	115	19	entropy	entropy	PROPN
cana-1817	115	20	.	.	PUNCT
cana-1817	116	1	this	this	DET
cana-1817	116	2	algorithm	algorithm	NOUN
cana-1817	116	3	leads	lead	VERB
cana-1817	116	4	to	to	ADP
cana-1817	116	5	the	the	DET
cana-1817	116	6	maximization	maximization	NOUN
cana-1817	116	7	of	of	ADP
cana-1817	116	8	contrast	contrast	NOUN
cana-1817	116	9	improvement	improvement	NOUN
cana-1817	116	10	,	,	PUNCT
cana-1817	116	11	all	all	PRON
cana-1817	116	12	while	while	SCONJ
cana-1817	116	13	mitigating	mitigate	VERB
cana-1817	116	14	the	the	DET
cana-1817	116	15	potential	potential	ADJ
cana-1817	116	16	hazard	hazard	NOUN
cana-1817	116	17	of	of	ADP
cana-1817	116	18	excessive	excessive	ADJ
cana-1817	116	19	amplification	amplification	NOUN
cana-1817	116	20	of	of	ADP
cana-1817	116	21	noise	noise	NOUN
cana-1817	116	22	in	in	ADP
cana-1817	116	23	the	the	DET
cana-1817	116	24	equalized	equalized	ADJ
cana-1817	116	25	image	image	NOUN
cana-1817	116	26	.	.	PUNCT
cana-1817	117	1	�	�	PROPN
cana-1817	117	2	⃗⃗	⃗⃗	PROPN
cana-1817	117	3	�	�	PROPN
cana-1817	117	4	=	=	SYM
cana-1817	117	5	𝟏	𝟏	PROPN
cana-1817	117	6	(	(	PUNCT
cana-1817	117	7	𝒄𝒐𝒏𝒕𝒓𝒂𝒔𝒕+𝒆𝒏𝒕𝒓𝒐𝒑𝒚	𝒄𝒐𝒏𝒕𝒓𝒂𝒔𝒕+𝒆𝒏𝒕𝒓𝒐𝒑𝒚	PROPN
cana-1817	117	8	)	)	PUNCT
cana-1817	117	9	(	(	PUNCT
cana-1817	117	10	1	1	X
cana-1817	117	11	)	)	PUNCT
cana-1817	117	12	for	for	ADP
cana-1817	117	13	each	each	DET
cana-1817	117	14	wolf	wolf	NOUN
cana-1817	117	15	or	or	CCONJ
cana-1817	117	16	search	search	NOUN
cana-1817	117	17	agent	agent	NOUN
cana-1817	117	18	,	,	PUNCT
cana-1817	117	19	the	the	DET
cana-1817	117	20	fitness	fitness	NOUN
cana-1817	117	21	of	of	ADP
cana-1817	117	22	the	the	DET
cana-1817	117	23	current	current	ADJ
cana-1817	117	24	position	position	NOUN
cana-1817	117	25	is	be	AUX
cana-1817	117	26	evaluated	evaluate	VERB
cana-1817	117	27	using	use	VERB
cana-1817	117	28	the	the	DET
cana-1817	117	29	objective	objective	ADJ
cana-1817	117	30	function	function	NOUN
cana-1817	117	31	.	.	PUNCT
cana-1817	118	1	subsequently	subsequently	ADV
cana-1817	118	2	,	,	PUNCT
cana-1817	118	3	the	the	DET
cana-1817	118	4	position	position	NOUN
cana-1817	118	5	of	of	ADP
cana-1817	118	6	alpha	alpha	NOUN
cana-1817	118	7	(	(	PUNCT
cana-1817	118	8	𝑋𝛼	𝑋𝛼	PROPN
cana-1817	118	9	⃗⃗	⃗⃗	PROPN
cana-1817	118	10	⃗⃗	⃗⃗	PROPN
cana-1817	118	11	)	)	PUNCT
cana-1817	118	12	,	,	PUNCT
cana-1817	118	13	beta	beta	NOUN
cana-1817	118	14	(	(	PUNCT
cana-1817	118	15	𝑋𝛽	𝑋𝛽	PROPN
cana-1817	118	16	⃗⃗	⃗⃗	PROPN
cana-1817	118	17	⃗⃗	⃗⃗	PROPN
cana-1817	118	18	)	)	PUNCT
cana-1817	118	19	and	and	CCONJ
cana-1817	118	20	delta	delta	NOUN
cana-1817	118	21	wolf	wolf	PROPN
cana-1817	118	22	𝑋𝛿	𝑋𝛿	PROPN
cana-1817	118	23	⃗⃗	⃗⃗	PROPN
cana-1817	118	24	⃗⃗	⃗⃗	PROPN
cana-1817	118	25	,	,	PUNCT
cana-1817	118	26	is	be	AUX
cana-1817	118	27	decided	decide	VERB
cana-1817	118	28	based	base	VERB
cana-1817	118	29	on	on	ADP
cana-1817	118	30	communications	communication	NOUN
cana-1817	118	31	on	on	ADP
cana-1817	118	32	applied	apply	VERB
cana-1817	118	33	nonlinear	nonlinear	ADJ
cana-1817	118	34	analysis	analysis	NOUN
cana-1817	118	35	issn	issn	NOUN
cana-1817	118	36	:	:	PUNCT
cana-1817	118	37	1074	1074	NUM
cana-1817	118	38	-	-	PUNCT
cana-1817	118	39	133x	133x	NUM
cana-1817	118	40	vol	vol	NOUN
cana-1817	118	41	32	32	NUM
cana-1817	118	42	no	no	NOUN
cana-1817	118	43	.	.	NOUN
cana-1817	118	44	2	2	NUM
cana-1817	118	45	(	(	PUNCT
cana-1817	118	46	2025	2025	NUM
cana-1817	118	47	)	)	PUNCT
cana-1817	118	48	566	566	NUM
cana-1817	118	49	the	the	DET
cana-1817	118	50	calculated	calculated	ADJ
cana-1817	118	51	fitness	fitness	NOUN
cana-1817	118	52	among	among	ADP
cana-1817	118	53	all	all	DET
cana-1817	118	54	the	the	DET
cana-1817	118	55	wolfs	wolfs	NOUN
cana-1817	118	56	.	.	PUNCT
cana-1817	119	1	𝐹𝛼⃗⃗	𝐹𝛼⃗⃗	PROPN
cana-1817	120	1	⃗	⃗	PROPN
cana-1817	120	2	,	,	PUNCT
cana-1817	120	3	𝐹𝛽	𝐹𝛽	PROPN
cana-1817	120	4	⃗⃗⃗⃗	⃗⃗⃗⃗	NOUN
cana-1817	120	5	.	.	PUNCT
cana-1817	121	1	𝐹𝛿	𝐹𝛿	PROPN
cana-1817	121	2	⃗⃗⃗⃗	⃗⃗⃗⃗	ADJ
cana-1817	121	3	will	will	AUX
cana-1817	121	4	store	store	VERB
cana-1817	121	5	the	the	DET
cana-1817	121	6	fitness	fitness	NOUN
cana-1817	121	7	values	value	NOUN
cana-1817	121	8	of	of	ADP
cana-1817	121	9	alpha	alpha	NOUN
cana-1817	121	10	,	,	PUNCT
cana-1817	121	11	beta	beta	NOUN
cana-1817	121	12	and	and	CCONJ
cana-1817	121	13	delta	delta	NOUN
cana-1817	121	14	wolves	wolf	NOUN
cana-1817	121	15	.	.	PUNCT
cana-1817	122	1	step	step	NOUN
cana-1817	122	2	3update	3update	NUM
cana-1817	122	3	positions	position	NOUN
cana-1817	122	4	.	.	PUNCT
cana-1817	123	1	the	the	DET
cana-1817	123	2	positions	position	NOUN
cana-1817	123	3	𝑋1	𝑋1	PROPN
cana-1817	123	4	⃗⃗⃗⃗	⃗⃗⃗⃗	PROPN
cana-1817	123	5	,	,	PUNCT
cana-1817	123	6	𝑋2	𝑋2	VERB
cana-1817	123	7	⃗⃗⃗⃗	⃗⃗⃗⃗	X
cana-1817	123	8	,	,	PUNCT
cana-1817	123	9	𝑋3	𝑋3	NOUN
cana-1817	123	10	⃗⃗⃗⃗	⃗⃗⃗⃗	PRON
cana-1817	123	11	are	be	AUX
cana-1817	123	12	calculated	calculate	VERB
cana-1817	123	13	based	base	VERB
cana-1817	123	14	on	on	ADP
cana-1817	123	15	the	the	DET
cana-1817	123	16	coefficients	coefficient	NOUN
cana-1817	123	17	and	and	CCONJ
cana-1817	123	18	positions	position	NOUN
cana-1817	123	19	of	of	ADP
cana-1817	123	20	the	the	DET
cana-1817	123	21	alpha	alpha	NOUN
cana-1817	123	22	,	,	PUNCT
cana-1817	123	23	beta	beta	NOUN
cana-1817	123	24	,	,	PUNCT
cana-1817	123	25	and	and	CCONJ
cana-1817	123	26	delta	delta	NOUN
cana-1817	123	27	wolves	wolf	NOUN
cana-1817	123	28	which	which	PRON
cana-1817	123	29	are	be	AUX
cana-1817	123	30	the	the	DET
cana-1817	123	31	leaders	leader	NOUN
cana-1817	123	32	in	in	ADP
cana-1817	123	33	the	the	DET
cana-1817	123	34	wolf	wolf	PROPN
cana-1817	123	35	pack	pack	NOUN
cana-1817	123	36	hierarchy	hierarchy	NOUN
cana-1817	123	37	according	accord	VERB
cana-1817	123	38	to	to	ADP
cana-1817	123	39	their	their	PRON
cana-1817	123	40	fitness	fitness	NOUN
cana-1817	123	41	values	value	NOUN
cana-1817	123	42	.	.	PUNCT
cana-1817	124	1	𝑿𝟏	𝑿𝟏	PROPN
cana-1817	124	2	⃗⃗⃗⃗	⃗⃗⃗⃗	X
cana-1817	125	1	⃗	⃗	PROPN
cana-1817	125	2	=	=	PUNCT
cana-1817	125	3	𝑿𝜶	𝑿𝜶	NOUN
cana-1817	125	4	⃗⃗⃗⃗	⃗⃗⃗⃗	NOUN
cana-1817	126	1	⃗	⃗	PROPN
cana-1817	127	1	−	−	PROPN
cana-1817	127	2	𝑨𝜶	𝑨𝜶	PROPN
cana-1817	127	3	⃗⃗⃗⃗	⃗⃗⃗⃗	NOUN
cana-1817	127	4	⃗.	⃗.	PUNCT
cana-1817	128	1	(	(	PUNCT
cana-1817	128	2	𝑫𝜶	𝑫𝜶	PROPN
cana-1817	128	3	⃗⃗	⃗⃗	PROPN
cana-1817	128	4	⃗⃗	⃗⃗	PROPN
cana-1817	128	5	⃗	⃗	PROPN
cana-1817	128	6	)	)	PUNCT
cana-1817	128	7	(	(	PUNCT
cana-1817	128	8	2	2	X
cana-1817	128	9	)	)	PUNCT
cana-1817	128	10	𝑿𝟐	𝑿𝟐	NOUN
cana-1817	128	11	⃗⃗⃗⃗	⃗⃗⃗⃗	PUNCT
cana-1817	129	1	⃗	⃗	X
cana-1817	129	2	=	=	SYM
cana-1817	129	3	𝑿𝜷	𝑿𝜷	NOUN
cana-1817	129	4	⃗⃗⃗⃗	⃗⃗⃗⃗	NOUN
cana-1817	130	1	⃗	⃗	PROPN
cana-1817	131	1	−	−	PROPN
cana-1817	131	2	𝑨𝜷	𝑨𝜷	NOUN
cana-1817	131	3	⃗⃗⃗⃗	⃗⃗⃗⃗	VERB
cana-1817	131	4	⃗.	⃗.	PUNCT
cana-1817	132	1	(	(	PUNCT
cana-1817	132	2	𝑫𝜷	𝑫𝜷	PROPN
cana-1817	132	3	⃗⃗	⃗⃗	PROPN
cana-1817	132	4	⃗⃗	⃗⃗	PROPN
cana-1817	132	5	⃗	⃗	PROPN
cana-1817	132	6	)	)	PUNCT
cana-1817	132	7	(	(	PUNCT
cana-1817	132	8	3	3	X
cana-1817	132	9	)	)	PUNCT
cana-1817	132	10	𝑿𝟑	𝑿𝟑	NOUN
cana-1817	133	1	⃗⃗	⃗⃗	PROPN
cana-1817	133	2	⃗⃗	⃗⃗	PROPN
cana-1817	133	3	⃗⃗	⃗⃗	PROPN
cana-1817	134	1	⃗	⃗	PROPN
cana-1817	134	2	=	=	SYM
cana-1817	134	3	𝑿𝜹	𝑿𝜹	PROPN
cana-1817	134	4	⃗⃗	⃗⃗	PROPN
cana-1817	134	5	⃗⃗	⃗⃗	PROPN
cana-1817	134	6	−	−	PROPN
cana-1817	135	1	𝑨𝜹	𝑨𝜹	PROPN
cana-1817	135	2	⃗⃗	⃗⃗	PROPN
cana-1817	135	3	⃗⃗	⃗⃗	PROPN
cana-1817	135	4	.	.	PUNCT
cana-1817	136	1	(	(	PUNCT
cana-1817	136	2	𝑫𝜹	𝑫𝜹	PROPN
cana-1817	136	3	⃗⃗⃗⃗	⃗⃗⃗⃗	X
cana-1817	136	4	⃗	⃗	NOUN
cana-1817	136	5	)	)	PUNCT
cana-1817	136	6	(	(	PUNCT
cana-1817	136	7	4	4	X
cana-1817	136	8	)	)	PUNCT
cana-1817	136	9	where	where	SCONJ
cana-1817	136	10	𝑋𝛼	𝑋𝛼	PROPN
cana-1817	136	11	⃗⃗	⃗⃗	PROPN
cana-1817	136	12	⃗⃗	⃗⃗	PROPN
cana-1817	136	13	,	,	PUNCT
cana-1817	136	14	𝑋𝛽	𝑋𝛽	PROPN
cana-1817	136	15	⃗⃗	⃗⃗	PROPN
cana-1817	136	16	⃗⃗	⃗⃗	PROPN
cana-1817	136	17	,	,	PUNCT
cana-1817	136	18	𝑋𝛿	𝑋𝛿	PROPN
cana-1817	136	19	⃗⃗	⃗⃗	PROPN
cana-1817	136	20	⃗⃗	⃗⃗	PROPN
cana-1817	136	21	variables	variable	NOUN
cana-1817	136	22	will	will	AUX
cana-1817	136	23	hold	hold	VERB
cana-1817	136	24	the	the	DET
cana-1817	136	25	positions	position	NOUN
cana-1817	136	26	of	of	ADP
cana-1817	136	27	the	the	DET
cana-1817	136	28	alpha	alpha	NOUN
cana-1817	136	29	,	,	PUNCT
cana-1817	136	30	beta	beta	NOUN
cana-1817	136	31	,	,	PUNCT
cana-1817	136	32	and	and	CCONJ
cana-1817	136	33	delta	delta	NOUN
cana-1817	136	34	wolves	wolf	NOUN
cana-1817	136	35	,	,	PUNCT
cana-1817	136	36	respectively	respectively	ADV
cana-1817	136	37	.	.	PUNCT
cana-1817	137	1	𝐷𝛼	𝐷𝛼	NOUN
cana-1817	137	2	⃗⃗⃗⃗	⃗⃗⃗⃗	NOUN
cana-1817	138	1	⃗	⃗	ADJ
cana-1817	138	2	,	,	PUNCT
cana-1817	138	3	𝐷𝛽	𝐷𝛽	PROPN
cana-1817	138	4	⃗⃗	⃗⃗	PROPN
cana-1817	138	5	⃗⃗	⃗⃗	PROPN
cana-1817	138	6	,	,	PUNCT
cana-1817	138	7	𝐷𝛿	𝐷𝛿	PROPN
cana-1817	138	8	⃗⃗	⃗⃗	PROPN
cana-1817	138	9	⃗⃗	⃗⃗	PROPN
cana-1817	138	10	are	be	AUX
cana-1817	138	11	the	the	DET
cana-1817	138	12	vectors	vector	NOUN
cana-1817	138	13	representing	represent	VERB
cana-1817	138	14	the	the	DET
cana-1817	138	15	absolute	absolute	ADJ
cana-1817	138	16	differences	difference	NOUN
cana-1817	138	17	between	between	ADP
cana-1817	138	18	the	the	DET
cana-1817	138	19	current	current	ADJ
cana-1817	138	20	position	position	NOUN
cana-1817	138	21	(	(	PUNCT
cana-1817	138	22	parameter	parameter	NOUN
cana-1817	138	23	set	set	NOUN
cana-1817	138	24	)	)	PUNCT
cana-1817	138	25	and	and	CCONJ
cana-1817	138	26	the	the	DET
cana-1817	138	27	positions	position	NOUN
cana-1817	138	28	of	of	ADP
cana-1817	138	29	the	the	DET
cana-1817	138	30	alpha	alpha	NOUN
cana-1817	138	31	,	,	PUNCT
cana-1817	138	32	beta	beta	NOUN
cana-1817	138	33	,	,	PUNCT
cana-1817	138	34	and	and	CCONJ
cana-1817	138	35	delta	delta	NOUN
cana-1817	138	36	wolves	wolf	NOUN
cana-1817	138	37	respectively	respectively	ADV
cana-1817	138	38	.	.	PUNCT
cana-1817	139	1	these	these	DET
cana-1817	139	2	vectors	vector	NOUN
cana-1817	139	3	indicate	indicate	VERB
cana-1817	139	4	the	the	DET
cana-1817	139	5	direction	direction	NOUN
cana-1817	139	6	and	and	CCONJ
cana-1817	139	7	magnitude	magnitude	NOUN
cana-1817	139	8	of	of	ADP
cana-1817	139	9	the	the	DET
cana-1817	139	10	update	update	NOUN
cana-1817	139	11	and	and	CCONJ
cana-1817	139	12	calculated	calculate	VERB
cana-1817	139	13	as	as	SCONJ
cana-1817	139	14	follows	follow	VERB
cana-1817	139	15	:	:	PUNCT
cana-1817	139	16	𝑫𝜶	𝑫𝜶	PROPN
cana-1817	139	17	⃗⃗	⃗⃗	PROPN
cana-1817	139	18	⃗⃗	⃗⃗	PROPN
cana-1817	139	19	⃗	⃗	PROPN
cana-1817	139	20	=	=	PUNCT
cana-1817	139	21	|𝑪𝟏	|𝑪𝟏	PUNCT
cana-1817	139	22	⃗⃗	⃗⃗	PROPN
cana-1817	139	23	⃗⃗	⃗⃗	PROPN
cana-1817	139	24	.	.	PUNCT
cana-1817	140	1	𝑿𝜶	𝑿𝜶	NOUN
cana-1817	140	2	⃗⃗⃗⃗	⃗⃗⃗⃗	NOUN
cana-1817	141	1	⃗	⃗	PROPN
cana-1817	141	2	−	−	PROPN
cana-1817	141	3	�	�	PROPN
cana-1817	141	4	⃗⃗	⃗⃗	PROPN
cana-1817	141	5	�	�	PROPN
cana-1817	141	6	|	|	CCONJ
cana-1817	141	7	(	(	PUNCT
cana-1817	141	8	5	5	X
cana-1817	141	9	)	)	PUNCT
cana-1817	141	10	𝑫𝜷	𝑫𝜷	PROPN
cana-1817	141	11	⃗⃗	⃗⃗	PROPN
cana-1817	141	12	⃗⃗	⃗⃗	PROPN
cana-1817	141	13	⃗	⃗	PROPN
cana-1817	141	14	=	=	SYM
cana-1817	141	15	|𝑪𝟐	|𝑪𝟐	PART
cana-1817	141	16	⃗⃗	⃗⃗	PROPN
cana-1817	141	17	⃗⃗	⃗⃗	PROPN
cana-1817	141	18	.	.	PUNCT
cana-1817	142	1	𝑿𝜷	𝑿𝜷	NOUN
cana-1817	142	2	⃗⃗⃗⃗	⃗⃗⃗⃗	X
cana-1817	143	1	⃗	⃗	PROPN
cana-1817	143	2	−	−	PROPN
cana-1817	143	3	�	�	PROPN
cana-1817	143	4	⃗⃗	⃗⃗	PROPN
cana-1817	143	5	�	�	PROPN
cana-1817	143	6	|	|	CCONJ
cana-1817	143	7	(	(	PUNCT
cana-1817	143	8	6	6	NUM
cana-1817	143	9	)	)	PUNCT
cana-1817	144	1	𝑫𝜹	𝑫𝜹	NOUN
cana-1817	144	2	⃗⃗⃗⃗	⃗⃗⃗⃗	NOUN
cana-1817	145	1	⃗	⃗	PROPN
cana-1817	145	2	=	=	SYM
cana-1817	145	3	|𝑪𝟑	|𝑪𝟑	PROPN
cana-1817	145	4	⃗⃗	⃗⃗	PROPN
cana-1817	145	5	⃗⃗	⃗⃗	PROPN
cana-1817	145	6	.	.	PUNCT
cana-1817	146	1	𝑿𝜹	𝑿𝜹	PROPN
cana-1817	146	2	⃗⃗	⃗⃗	PROPN
cana-1817	146	3	⃗⃗	⃗⃗	PROPN
cana-1817	146	4	−	−	PROPN
cana-1817	146	5	�	�	PROPN
cana-1817	146	6	⃗⃗	⃗⃗	PROPN
cana-1817	146	7	�	�	PROPN
cana-1817	147	1	|	|	CCONJ
cana-1817	147	2	(	(	PUNCT
cana-1817	147	3	7	7	X
cana-1817	147	4	)	)	PUNCT
cana-1817	147	5	�	�	PROPN
cana-1817	147	6	⃗⃗	⃗⃗	PROPN
cana-1817	147	7	�	�	PROPN
cana-1817	147	8	=	=	PUNCT
cana-1817	147	9	𝟐.	𝟐.	X
cana-1817	147	10	𝒓𝟐⃗⃗⃗⃗	𝒓𝟐⃗⃗⃗⃗	X
cana-1817	147	11	(	(	PUNCT
cana-1817	147	12	8)	8)	NUM
cana-1817	147	13	where	where	SCONJ
cana-1817	147	14	𝐶1	𝐶1	NOUN
cana-1817	147	15	⃗⃗⃗⃗	⃗⃗⃗⃗	NOUN
cana-1817	147	16	,	,	PUNCT
cana-1817	147	17	𝐶2	𝐶2	PROPN
cana-1817	147	18	⃗⃗⃗⃗	⃗⃗⃗⃗	NOUN
cana-1817	147	19	and	and	CCONJ
cana-1817	147	20	𝐶3	𝐶3	PROPN
cana-1817	147	21	⃗⃗⃗⃗	⃗⃗⃗⃗	PROPN
cana-1817	147	22	are	be	AUX
cana-1817	147	23	coefficients	coefficient	NOUN
cana-1817	147	24	calculated	calculate	VERB
cana-1817	147	25	based	base	VERB
cana-1817	147	26	on	on	ADP
cana-1817	147	27	random	random	ADJ
cana-1817	147	28	variable	variable	NOUN
cana-1817	147	29	𝑟2⃗⃗	𝑟2⃗⃗	PROPN
cana-1817	147	30	⃗.	⃗.	PROPN
cana-1817	147	31	proposed	propose	VERB
cana-1817	147	32	modified	modify	VERB
cana-1817	147	33	equations	equation	NOUN
cana-1817	147	34	to	to	PART
cana-1817	147	35	update	update	VERB
cana-1817	147	36	wolf	wolf	PROPN
cana-1817	147	37	position	position	NOUN
cana-1817	147	38	:	:	PUNCT
cana-1817	147	39	the	the	DET
cana-1817	147	40	coefficient	coefficient	NOUN
cana-1817	147	41	‘	'	PUNCT
cana-1817	147	42	a	a	DET
cana-1817	147	43	’	'	PUNCT
cana-1817	147	44	influences	influence	VERB
cana-1817	147	45	the	the	DET
cana-1817	147	46	hunting	hunt	VERB
cana-1817	147	47	behavior	behavior	NOUN
cana-1817	147	48	of	of	ADP
cana-1817	147	49	the	the	DET
cana-1817	147	50	pack	pack	NOUN
cana-1817	147	51	.	.	PUNCT
cana-1817	148	1	the	the	DET
cana-1817	148	2	wolf	wolf	PROPN
cana-1817	148	3	positions	position	NOUN
cana-1817	148	4	x1	x1	PROPN
cana-1817	148	5	⃗⃗⃗⃗	⃗⃗⃗⃗	X
cana-1817	148	6	,	,	PUNCT
cana-1817	149	1	x2	x2	PROPN
cana-1817	149	2	⃗⃗⃗⃗	⃗⃗⃗⃗	VERB
cana-1817	149	3	and	and	CCONJ
cana-1817	149	4	x3	x3	ADJ
cana-1817	149	5	⃗⃗⃗⃗	⃗⃗⃗⃗	X
cana-1817	149	6	are	be	AUX
cana-1817	149	7	computed	compute	VERB
cana-1817	149	8	based	base	VERB
cana-1817	149	9	on	on	ADP
cana-1817	149	10	aα	aα	PROPN
cana-1817	149	11	⃗⃗	⃗⃗	PROPN
cana-1817	149	12	⃗⃗	⃗⃗	PROPN
cana-1817	149	13	,	,	PUNCT
cana-1817	149	14	aβ	aβ	PROPN
cana-1817	149	15	⃗⃗	⃗⃗	PROPN
cana-1817	149	16	⃗⃗	⃗⃗	PROPN
cana-1817	149	17	,	,	PUNCT
cana-1817	149	18	aδ	aδ	PROPN
cana-1817	149	19	⃗⃗	⃗⃗	PROPN
cana-1817	149	20	⃗⃗	⃗⃗	PROPN
cana-1817	149	21	instead	instead	ADV
cana-1817	149	22	of	of	ADP
cana-1817	149	23	only	only	ADV
cana-1817	149	24	a⃗⃗	a⃗⃗	PROPN
cana-1817	149	25	unlike	unlike	ADP
cana-1817	149	26	gwo	gwo	PROPN
cana-1817	149	27	.	.	PUNCT
cana-1817	150	1	the	the	DET
cana-1817	150	2	coefficient	coefficient	NOUN
cana-1817	150	3	a⃗⃗	a⃗⃗	PROPN
cana-1817	150	4	will	will	AUX
cana-1817	150	5	be	be	AUX
cana-1817	150	6	calculated	calculate	VERB
cana-1817	150	7	as	as	SCONJ
cana-1817	150	8	follows	follow	VERB
cana-1817	150	9	:	:	PUNCT
cana-1817	150	10	𝑨𝜶	𝑨𝜶	PROPN
cana-1817	150	11	⃗⃗⃗⃗	⃗⃗⃗⃗	X
cana-1817	150	12	⃗	⃗	PROPN
cana-1817	150	13	=	=	SYM
cana-1817	150	14	𝟐𝒂𝜶⃗⃗	𝟐𝒂𝜶⃗⃗	PROPN
cana-1817	150	15	⃗⃗	⃗⃗	PROPN
cana-1817	150	16	.	.	PUNCT
cana-1817	151	1	𝒓𝟏	𝒓𝟏	PROPN
cana-1817	151	2	⃗⃗	⃗⃗	PROPN
cana-1817	151	3	⃗⃗	⃗⃗	PROPN
cana-1817	151	4	–	–	PUNCT
cana-1817	151	5	𝒂𝜶⃗⃗	𝒂𝜶⃗⃗	PROPN
cana-1817	151	6	⃗⃗	⃗⃗	NOUN
cana-1817	151	7	(	(	PUNCT
cana-1817	151	8	9	9	NUM
cana-1817	151	9	)	)	PUNCT
cana-1817	151	10	𝑨𝜷	𝑨𝜷	NOUN
cana-1817	151	11	⃗⃗⃗⃗	⃗⃗⃗⃗	PUNCT
cana-1817	152	1	⃗	⃗	PROPN
cana-1817	152	2	=	=	SYM
cana-1817	152	3	𝟐𝒂𝜷⃗⃗	𝟐𝒂𝜷⃗⃗	PROPN
cana-1817	152	4	⃗⃗	⃗⃗	PROPN
cana-1817	152	5	.	.	PUNCT
cana-1817	153	1	𝒓𝟏	𝒓𝟏	PROPN
cana-1817	153	2	⃗⃗	⃗⃗	PROPN
cana-1817	153	3	⃗⃗	⃗⃗	PROPN
cana-1817	153	4	−	−	PROPN
cana-1817	153	5	𝒂𝜷⃗⃗	𝒂𝜷⃗⃗	PROPN
cana-1817	153	6	⃗⃗	⃗⃗	PROPN
cana-1817	153	7	(	(	PUNCT
cana-1817	153	8	10	10	NUM
cana-1817	153	9	)	)	PUNCT
cana-1817	154	1	𝑨𝜹	𝑨𝜹	PROPN
cana-1817	154	2	⃗⃗	⃗⃗	NOUN
cana-1817	154	3	⃗⃗	⃗⃗	PROPN
cana-1817	154	4	=	=	SYM
cana-1817	154	5	𝟐𝒂𝜸⃗⃗	𝟐𝒂𝜸⃗⃗	PROPN
cana-1817	154	6	⃗⃗	⃗⃗	PROPN
cana-1817	154	7	.	.	PUNCT
cana-1817	155	1	𝒓𝟏	𝒓𝟏	PROPN
cana-1817	155	2	⃗⃗	⃗⃗	PROPN
cana-1817	155	3	⃗⃗	⃗⃗	PROPN
cana-1817	155	4	−	−	PROPN
cana-1817	155	5	𝒂𝜸⃗⃗	𝒂𝜸⃗⃗	PROPN
cana-1817	155	6	⃗⃗	⃗⃗	PROPN
cana-1817	155	7	(	(	PUNCT
cana-1817	155	8	11	11	NUM
cana-1817	155	9	)	)	PUNCT
cana-1817	155	10	the	the	DET
cana-1817	155	11	coefficients	coefficient	NOUN
cana-1817	155	12	𝑎𝛼	𝑎𝛼	ADP
cana-1817	155	13	,	,	PUNCT
cana-1817	155	14	𝑎𝛽	𝑎𝛽	X
cana-1817	155	15	,	,	PUNCT
cana-1817	155	16	and	and	CCONJ
cana-1817	155	17	𝑎𝛿	𝑎𝛿	AUX
cana-1817	155	18	control	control	VERB
cana-1817	155	19	the	the	DET
cana-1817	155	20	rate	rate	NOUN
cana-1817	155	21	at	at	ADP
cana-1817	155	22	which	which	PRON
cana-1817	155	23	the	the	DET
cana-1817	155	24	alpha	alpha	NOUN
cana-1817	155	25	,	,	PUNCT
cana-1817	155	26	beta	beta	NOUN
cana-1817	155	27	,	,	PUNCT
cana-1817	155	28	and	and	CCONJ
cana-1817	155	29	delta	delta	NOUN
cana-1817	155	30	wolves	wolf	NOUN
cana-1817	155	31	respectively	respectively	ADV
cana-1817	155	32	influence	influence	VERB
cana-1817	155	33	the	the	DET
cana-1817	155	34	search	search	NOUN
cana-1817	155	35	agents	agent	NOUN
cana-1817	155	36	.	.	PUNCT
cana-1817	156	1	by	by	ADP
cana-1817	156	2	modifying	modify	VERB
cana-1817	156	3	these	these	DET
cana-1817	156	4	parameters	parameter	NOUN
cana-1817	156	5	based	base	VERB
cana-1817	156	6	on	on	ADP
cana-1817	156	7	the	the	DET
cana-1817	156	8	current	current	ADJ
cana-1817	156	9	iteration	iteration	NOUN
cana-1817	156	10	t	t	NOUN
cana-1817	156	11	and	and	CCONJ
cana-1817	156	12	the	the	DET
cana-1817	156	13	maximum	maximum	ADJ
cana-1817	156	14	number	number	NOUN
cana-1817	156	15	of	of	ADP
cana-1817	156	16	iterations	iteration	NOUN
cana-1817	156	17	𝑇𝑚𝑎𝑥	𝑇𝑚𝑎𝑥	PROPN
cana-1817	156	18	,	,	PUNCT
cana-1817	156	19	the	the	DET
cana-1817	156	20	algorithm	algorithm	NOUN
cana-1817	156	21	dynamically	dynamically	ADV
cana-1817	156	22	adjusts	adjust	VERB
cana-1817	156	23	the	the	DET
cana-1817	156	24	exploration	exploration	NOUN
cana-1817	156	25	and	and	CCONJ
cana-1817	156	26	exploitation	exploitation	NOUN
cana-1817	156	27	phases	phase	NOUN
cana-1817	156	28	.	.	PUNCT
cana-1817	157	1	this	this	PRON
cana-1817	157	2	helps	help	VERB
cana-1817	157	3	in	in	ADP
cana-1817	157	4	achieving	achieve	VERB
cana-1817	157	5	a	a	DET
cana-1817	157	6	better	well	ADJ
cana-1817	157	7	balance	balance	NOUN
cana-1817	157	8	between	between	ADP
cana-1817	157	9	exploration	exploration	NOUN
cana-1817	157	10	(	(	PUNCT
cana-1817	157	11	utilizing	utilize	VERB
cana-1817	157	12	information	information	NOUN
cana-1817	157	13	from	from	ADP
cana-1817	157	14	other	other	ADJ
cana-1817	157	15	wolves	wolf	NOUN
cana-1817	157	16	)	)	PUNCT
cana-1817	157	17	and	and	CCONJ
cana-1817	157	18	exploitation	exploitation	NOUN
cana-1817	157	19	(	(	PUNCT
cana-1817	157	20	utilizing	utilize	VERB
cana-1817	157	21	information	information	NOUN
cana-1817	157	22	from	from	ADP
cana-1817	157	23	the	the	DET
cana-1817	157	24	best	good	ADJ
cana-1817	157	25	wolves	wolf	NOUN
cana-1817	157	26	)	)	PUNCT
cana-1817	157	27	of	of	ADP
cana-1817	157	28	the	the	DET
cana-1817	157	29	search	search	NOUN
cana-1817	157	30	space	space	NOUN
cana-1817	157	31	.	.	PUNCT
cana-1817	158	1	early	early	ADV
cana-1817	158	2	in	in	ADP
cana-1817	158	3	the	the	DET
cana-1817	158	4	optimization	optimization	NOUN
cana-1817	158	5	process	process	NOUN
cana-1817	158	6	,	,	PUNCT
cana-1817	158	7	there	there	PRON
cana-1817	158	8	is	be	VERB
cana-1817	158	9	more	more	ADJ
cana-1817	158	10	emphasis	emphasis	NOUN
cana-1817	158	11	on	on	ADP
cana-1817	158	12	exploration	exploration	NOUN
cana-1817	158	13	,	,	PUNCT
cana-1817	158	14	while	while	SCONJ
cana-1817	158	15	in	in	ADP
cana-1817	158	16	later	later	ADJ
cana-1817	158	17	stages	stage	NOUN
cana-1817	158	18	;	;	PUNCT
cana-1817	158	19	there	there	PRON
cana-1817	158	20	is	be	VERB
cana-1817	158	21	more	more	ADJ
cana-1817	158	22	focus	focus	NOUN
cana-1817	158	23	on	on	ADP
cana-1817	158	24	exploitation	exploitation	NOUN
cana-1817	158	25	.	.	PUNCT
cana-1817	159	1	this	this	DET
cana-1817	159	2	adaptability	adaptability	NOUN
cana-1817	159	3	can	can	AUX
cana-1817	159	4	lead	lead	VERB
cana-1817	159	5	to	to	ADP
cana-1817	159	6	faster	fast	ADJ
cana-1817	159	7	convergence	convergence	NOUN
cana-1817	159	8	towards	towards	ADP
cana-1817	159	9	an	an	DET
cana-1817	159	10	optimal	optimal	ADJ
cana-1817	159	11	solution	solution	NOUN
cana-1817	159	12	.	.	PUNCT
cana-1817	160	1	also	also	ADV
cana-1817	160	2	,	,	PUNCT
cana-1817	160	3	exponential	exponential	ADJ
cana-1817	160	4	region	region	NOUN
cana-1817	160	5	(	(	PUNCT
cana-1817	160	6	maximum	maximum	ADJ
cana-1817	160	7	curvature	curvature	NOUN
cana-1817	160	8	)	)	PUNCT
cana-1817	160	9	is	be	AUX
cana-1817	160	10	the	the	DET
cana-1817	160	11	potential	potential	ADJ
cana-1817	160	12	candidate	candidate	NOUN
cana-1817	160	13	for	for	ADP
cana-1817	160	14	clip	clip	NOUN
cana-1817	160	15	limit	limit	NOUN
cana-1817	160	16	value	value	NOUN
cana-1817	160	17	[	[	X
cana-1817	160	18	39	39	NUM
cana-1817	160	19	]	]	PUNCT
cana-1817	160	20	.	.	PUNCT
cana-1817	161	1	the	the	DET
cana-1817	161	2	sinusoidal	sinusoidal	ADJ
cana-1817	161	3	function	function	NOUN
cana-1817	161	4	`	`	PUNCT
cana-1817	161	5	sin(1	sin(1	NOUN
cana-1817	161	6	/	/	SYM
cana-1817	161	7	t_max	t_max	NOUN
cana-1817	161	8	)	)	PUNCT
cana-1817	161	9	`	`	PUNCT
cana-1817	161	10	in	in	ADP
cana-1817	161	11	the	the	DET
cana-1817	161	12	equation	equation	NOUN
cana-1817	161	13	for	for	ADP
cana-1817	161	14	𝑎𝛿	𝑎𝛿	PROPN
cana-1817	161	15	introduces	introduce	NOUN
cana-1817	161	16	a	a	DET
cana-1817	161	17	non	non	ADJ
cana-1817	161	18	-	-	ADJ
cana-1817	161	19	linear	linear	ADJ
cana-1817	161	20	component	component	NOUN
cana-1817	161	21	that	that	PRON
cana-1817	161	22	can	can	AUX
cana-1817	161	23	enhance	enhance	VERB
cana-1817	161	24	the	the	DET
cana-1817	161	25	robustness	robustness	NOUN
cana-1817	161	26	of	of	ADP
cana-1817	161	27	the	the	DET
cana-1817	161	28	algorithm	algorithm	NOUN
cana-1817	161	29	.	.	PUNCT
cana-1817	162	1	𝒂𝜶	𝒂𝜶	NOUN
cana-1817	162	2	=	=	SYM
cana-1817	162	3	𝟐	𝟐	NUM
cana-1817	162	4	(	(	PUNCT
cana-1817	162	5	𝟏	𝟏	NUM
cana-1817	162	6	−	−	NUM
cana-1817	162	7	𝟏	𝟏	NUM
cana-1817	162	8	𝑻𝒎𝒂𝒙	𝑻𝒎𝒂𝒙	PROPN
cana-1817	162	9	)	)	PUNCT
cana-1817	162	10	(	(	PUNCT
cana-1817	162	11	12	12	NUM
cana-1817	162	12	)	)	PUNCT
cana-1817	162	13	𝒂𝜷	𝒂𝜷	NOUN
cana-1817	162	14	=	=	SYM
cana-1817	162	15	𝟐	𝟐	PROPN
cana-1817	162	16	(	(	PUNCT
cana-1817	162	17	𝟏	𝟏	NUM
cana-1817	162	18	−	−	NOUN
cana-1817	162	19	𝟏	𝟏	NUM
cana-1817	162	20	(	(	PUNCT
cana-1817	162	21	𝑻𝒎𝒂𝒙)𝟐	𝑻𝒎𝒂𝒙)𝟐	NOUN
cana-1817	162	22	)	)	PUNCT
cana-1817	162	23	(	(	PUNCT
cana-1817	162	24	13	13	NUM
cana-1817	162	25	)	)	PUNCT
cana-1817	162	26	𝒂𝜹	𝒂𝜹	NOUN
cana-1817	162	27	=	=	SYM
cana-1817	162	28	𝟐(𝟏	𝟐(𝟏	PROPN
cana-1817	162	29	−	−	PROPN
cana-1817	162	30	𝐬𝐢𝐧	𝐬𝐢𝐧	ADP
cana-1817	162	31	(	(	PUNCT
cana-1817	162	32	𝟏	𝟏	NUM
cana-1817	162	33	𝐓𝐦𝐚𝐱	𝐓𝐦𝐚𝐱	PROPN
cana-1817	162	34	)	)	PUNCT
cana-1817	162	35	)	)	PUNCT
cana-1817	163	1	(	(	PUNCT
cana-1817	163	2	14	14	X
cana-1817	163	3	)	)	PUNCT
cana-1817	163	4	dynamic	dynamic	ADJ
cana-1817	163	5	weights	weight	NOUN
cana-1817	163	6	are	be	AUX
cana-1817	163	7	calculated	calculate	VERB
cana-1817	163	8	based	base	VERB
cana-1817	163	9	on	on	ADP
cana-1817	163	10	fitness	fitness	NOUN
cana-1817	163	11	value	value	NOUN
cana-1817	163	12	.	.	PUNCT
cana-1817	164	1	each	each	DET
cana-1817	164	2	calculated	calculate	VERB
cana-1817	164	3	position	position	NOUN
cana-1817	164	4	is	be	AUX
cana-1817	164	5	then	then	ADV
cana-1817	164	6	combined	combine	VERB
cana-1817	164	7	with	with	ADP
cana-1817	164	8	weights	weight	NOUN
cana-1817	164	9	𝑊1	𝑊1	PROPN
cana-1817	164	10	⃗⃗	⃗⃗	PROPN
cana-1817	164	11	⃗⃗	⃗⃗	PROPN
cana-1817	164	12	⃗	⃗	PROPN
cana-1817	164	13	,	,	PUNCT
cana-1817	164	14	𝑊2	𝑊2	PROPN
cana-1817	164	15	⃗⃗	⃗⃗	PROPN
cana-1817	164	16	⃗⃗	⃗⃗	PROPN
cana-1817	164	17	⃗	⃗	PROPN
cana-1817	164	18	,	,	PUNCT
cana-1817	164	19	𝑊3	𝑊3	PROPN
cana-1817	164	20	⃗⃗	⃗⃗	PROPN
cana-1817	164	21	⃗⃗	⃗⃗	PROPN
cana-1817	164	22	⃗	⃗	PROPN
cana-1817	164	23	and	and	CCONJ
cana-1817	164	24	the	the	DET
cana-1817	164	25	positions	position	NOUN
cana-1817	164	26	.	.	PUNCT
cana-1817	165	1	the	the	DET
cana-1817	165	2	current	current	ADJ
cana-1817	165	3	position	position	NOUN
cana-1817	165	4	of	of	ADP
cana-1817	165	5	the	the	DET
cana-1817	165	6	search	search	NOUN
cana-1817	165	7	agent	agent	NOUN
cana-1817	165	8	is	be	AUX
cana-1817	165	9	updated	update	VERB
cana-1817	165	10	using	use	VERB
cana-1817	165	11	the	the	DET
cana-1817	165	12	weighted	weighted	ADJ
cana-1817	165	13	combination	combination	NOUN
cana-1817	165	14	.	.	PUNCT
cana-1817	166	1	the	the	DET
cana-1817	166	2	equations	equation	NOUN
cana-1817	166	3	calculate	calculate	VERB
cana-1817	166	4	weighting	weight	VERB
cana-1817	166	5	factors	factor	NOUN
cana-1817	166	6	based	base	VERB
cana-1817	166	7	on	on	ADP
cana-1817	166	8	the	the	DET
cana-1817	166	9	fitness	fitness	NOUN
cana-1817	166	10	values	value	NOUN
cana-1817	166	11	of	of	ADP
cana-1817	166	12	communications	communication	NOUN
cana-1817	166	13	on	on	ADP
cana-1817	166	14	applied	apply	VERB
cana-1817	166	15	nonlinear	nonlinear	ADJ
cana-1817	166	16	analysis	analysis	NOUN
cana-1817	166	17	issn	issn	NOUN
cana-1817	166	18	:	:	PUNCT
cana-1817	166	19	1074	1074	NUM
cana-1817	166	20	-	-	PUNCT
cana-1817	166	21	133x	133x	NUM
cana-1817	166	22	vol	vol	NOUN
cana-1817	166	23	32	32	NUM
cana-1817	166	24	no	no	NOUN
cana-1817	166	25	.	.	NOUN
cana-1817	166	26	2	2	NUM
cana-1817	166	27	(	(	PUNCT
cana-1817	166	28	2025	2025	NUM
cana-1817	166	29	)	)	PUNCT
cana-1817	166	30	567	567	NUM
cana-1817	166	31	the	the	DET
cana-1817	166	32	alpha	alpha	NOUN
cana-1817	166	33	,	,	PUNCT
cana-1817	166	34	beta	beta	NOUN
cana-1817	166	35	,	,	PUNCT
cana-1817	166	36	and	and	CCONJ
cana-1817	166	37	delta	delta	NOUN
cana-1817	166	38	wolves	wolf	NOUN
cana-1817	166	39	relative	relative	ADJ
cana-1817	166	40	to	to	ADP
cana-1817	166	41	the	the	DET
cana-1817	166	42	best	good	ADJ
cana-1817	166	43	fitness	fitness	NOUN
cana-1817	166	44	value	value	NOUN
cana-1817	166	45	in	in	ADP
cana-1817	166	46	the	the	DET
cana-1817	166	47	population	population	NOUN
cana-1817	166	48	.	.	PUNCT
cana-1817	167	1	this	this	PRON
cana-1817	167	2	allows	allow	VERB
cana-1817	167	3	the	the	DET
cana-1817	167	4	algorithm	algorithm	NOUN
cana-1817	167	5	to	to	PART
cana-1817	167	6	favor	favor	VERB
cana-1817	167	7	the	the	DET
cana-1817	167	8	positions	position	NOUN
cana-1817	167	9	of	of	ADP
cana-1817	167	10	wolves	wolf	NOUN
cana-1817	167	11	that	that	PRON
cana-1817	167	12	have	have	AUX
cana-1817	167	13	performed	perform	VERB
cana-1817	167	14	well	well	ADV
cana-1817	167	15	,	,	PUNCT
cana-1817	167	16	potentially	potentially	ADV
cana-1817	167	17	guiding	guide	VERB
cana-1817	167	18	the	the	DET
cana-1817	167	19	search	search	NOUN
cana-1817	167	20	towards	towards	ADP
cana-1817	167	21	promising	promising	ADJ
cana-1817	167	22	areas	area	NOUN
cana-1817	167	23	of	of	ADP
cana-1817	167	24	the	the	DET
cana-1817	167	25	solution	solution	NOUN
cana-1817	167	26	space	space	NOUN
cana-1817	167	27	.	.	PUNCT
cana-1817	168	1	the	the	DET
cana-1817	168	2	weights	weight	NOUN
cana-1817	168	3	𝑊1	𝑊1	PROPN
cana-1817	168	4	⃗⃗	⃗⃗	PROPN
cana-1817	168	5	⃗⃗	⃗⃗	PROPN
cana-1817	168	6	⃗	⃗	PROPN
cana-1817	168	7	,	,	PUNCT
cana-1817	168	8	𝑊2	𝑊2	PROPN
cana-1817	168	9	⃗⃗	⃗⃗	PROPN
cana-1817	168	10	⃗⃗	⃗⃗	PROPN
cana-1817	168	11	⃗	⃗	PROPN
cana-1817	168	12	,	,	PUNCT
cana-1817	168	13	𝑊3	𝑊3	PROPN
cana-1817	168	14	⃗⃗	⃗⃗	PROPN
cana-1817	168	15	⃗⃗	⃗⃗	PROPN
cana-1817	168	16	⃗	⃗	PROPN
cana-1817	168	17	ensure	ensure	VERB
cana-1817	168	18	that	that	SCONJ
cana-1817	168	19	the	the	DET
cana-1817	168	20	influence	influence	NOUN
cana-1817	168	21	of	of	ADP
cana-1817	168	22	the	the	DET
cana-1817	168	23	alpha	alpha	NOUN
cana-1817	168	24	,	,	PUNCT
cana-1817	168	25	beta	beta	NOUN
cana-1817	168	26	,	,	PUNCT
cana-1817	168	27	and	and	CCONJ
cana-1817	168	28	delta	delta	NOUN
cana-1817	168	29	wolves	wolf	NOUN
cana-1817	168	30	is	be	AUX
cana-1817	168	31	balanced	balanced	ADJ
cana-1817	168	32	.	.	PUNCT
cana-1817	169	1	this	this	PRON
cana-1817	169	2	helps	help	VERB
cana-1817	169	3	to	to	PART
cana-1817	169	4	avoid	avoid	VERB
cana-1817	169	5	situations	situation	NOUN
cana-1817	169	6	where	where	SCONJ
cana-1817	169	7	one	one	NUM
cana-1817	169	8	wolf	wolf	NOUN
cana-1817	169	9	dominates	dominate	VERB
cana-1817	169	10	the	the	DET
cana-1817	169	11	influence	influence	NOUN
cana-1817	169	12	on	on	ADP
cana-1817	169	13	the	the	DET
cana-1817	169	14	search	search	NOUN
cana-1817	169	15	agents	agent	NOUN
cana-1817	169	16	,	,	PUNCT
cana-1817	169	17	promoting	promote	VERB
cana-1817	169	18	a	a	DET
cana-1817	169	19	more	more	ADV
cana-1817	169	20	diverse	diverse	ADJ
cana-1817	169	21	exploration	exploration	NOUN
cana-1817	169	22	of	of	ADP
cana-1817	169	23	the	the	DET
cana-1817	169	24	solution	solution	NOUN
cana-1817	169	25	space	space	NOUN
cana-1817	169	26	.	.	PUNCT
cana-1817	170	1	the	the	DET
cana-1817	170	2	utilization	utilization	NOUN
cana-1817	170	3	of	of	ADP
cana-1817	170	4	dynamic	dynamic	ADJ
cana-1817	170	5	weighting	weighting	NOUN
cana-1817	170	6	factors	factor	NOUN
cana-1817	170	7	reduces	reduce	VERB
cana-1817	170	8	the	the	DET
cana-1817	170	9	sensitivity	sensitivity	NOUN
cana-1817	170	10	of	of	ADP
cana-1817	170	11	the	the	DET
cana-1817	170	12	algorithm	algorithm	NOUN
cana-1817	170	13	to	to	ADP
cana-1817	170	14	hyperparameter	hyperparameter	NOUN
cana-1817	170	15	tuning	tune	VERB
cana-1817	170	16	.	.	PUNCT
cana-1817	171	1	𝑾𝟏	𝑾𝟏	PROPN
cana-1817	171	2	⃗⃗	⃗⃗	PROPN
cana-1817	171	3	⃗⃗	⃗⃗	PROPN
cana-1817	171	4	⃗⃗	⃗⃗	PROPN
cana-1817	172	1	=	=	PRON
cana-1817	172	2	𝑭𝜶⃗⃗	𝑭𝜶⃗⃗	NOUN
cana-1817	172	3	⃗⃗	⃗⃗	PROPN
cana-1817	172	4	⃗	⃗	PROPN
cana-1817	172	5	𝑭𝑩𝒆𝒔𝒕⃗⃗	𝑭𝑩𝒆𝒔𝒕⃗⃗	NOUN
cana-1817	172	6	⃗⃗	⃗⃗	PROPN
cana-1817	172	7	⃗⃗	⃗⃗	PROPN
cana-1817	172	8	⃗⃗	⃗⃗	PROPN
cana-1817	172	9	⃗⃗	⃗⃗	PROPN
cana-1817	172	10	⃗⃗	⃗⃗	PROPN
cana-1817	172	11	(	(	PUNCT
cana-1817	172	12	15	15	NUM
cana-1817	172	13	)	)	PUNCT
cana-1817	172	14	𝑾𝟐	𝑾𝟐	NOUN
cana-1817	172	15	⃗⃗	⃗⃗	PROPN
cana-1817	172	16	⃗⃗	⃗⃗	PROPN
cana-1817	172	17	⃗⃗	⃗⃗	PROPN
cana-1817	172	18	=	=	PUNCT
cana-1817	172	19	𝑭𝜷⃗⃗	𝑭𝜷⃗⃗	DET
cana-1817	172	20	⃗⃗	⃗⃗	PROPN
cana-1817	172	21	⃗	⃗	PROPN
cana-1817	172	22	𝑭𝑩𝒆𝒔𝒕⃗⃗	𝑭𝑩𝒆𝒔𝒕⃗⃗	NOUN
cana-1817	172	23	⃗⃗	⃗⃗	PROPN
cana-1817	172	24	⃗⃗	⃗⃗	PROPN
cana-1817	172	25	⃗⃗	⃗⃗	PROPN
cana-1817	172	26	⃗⃗	⃗⃗	PROPN
cana-1817	172	27	⃗⃗	⃗⃗	PROPN
cana-1817	172	28	(	(	PUNCT
cana-1817	172	29	16	16	NUM
cana-1817	172	30	)	)	PUNCT
cana-1817	172	31	𝑾𝟑	𝑾𝟑	PROPN
cana-1817	172	32	⃗⃗	⃗⃗	PROPN
cana-1817	172	33	⃗⃗	⃗⃗	PROPN
cana-1817	172	34	⃗⃗	⃗⃗	PROPN
cana-1817	172	35	=	=	PUNCT
cana-1817	173	1	𝑭𝜹⃗⃗⃗⃗	𝑭𝜹⃗⃗⃗⃗	NOUN
cana-1817	174	1	⃗	⃗	PROPN
cana-1817	174	2	𝑭𝑩𝒆𝒔𝒕⃗⃗	𝑭𝑩𝒆𝒔𝒕⃗⃗	NOUN
cana-1817	174	3	⃗⃗	⃗⃗	PROPN
cana-1817	174	4	⃗⃗	⃗⃗	PROPN
cana-1817	174	5	⃗⃗	⃗⃗	PROPN
cana-1817	174	6	⃗⃗	⃗⃗	PROPN
cana-1817	174	7	⃗⃗	⃗⃗	PROPN
cana-1817	174	8	(	(	PUNCT
cana-1817	174	9	17	17	NUM
cana-1817	174	10	)	)	PUNCT
cana-1817	174	11	�	�	PROPN
cana-1817	174	12	⃗⃗	⃗⃗	PROPN
cana-1817	174	13	�	�	PROPN
cana-1817	174	14	(	(	PUNCT
cana-1817	174	15	𝒕	𝒕	PROPN
cana-1817	174	16	+	+	CCONJ
cana-1817	174	17	𝟏	𝟏	X
cana-1817	174	18	)	)	PUNCT
cana-1817	174	19	=	=	SYM
cana-1817	175	1	𝑿𝟏	𝑿𝟏	PROPN
cana-1817	175	2	⃗⃗⃗⃗	⃗⃗⃗⃗	PROPN
cana-1817	176	1	⃗𝑾𝟏	⃗𝑾𝟏	PROPN
cana-1817	176	2	⃗⃗	⃗⃗	PROPN
cana-1817	176	3	⃗⃗	⃗⃗	PROPN
cana-1817	176	4	⃗⃗	⃗⃗	PROPN
cana-1817	176	5	+	+	CCONJ
cana-1817	176	6	𝑿𝟐	𝑿𝟐	ADV
cana-1817	176	7	⃗⃗⃗⃗	⃗⃗⃗⃗	X
cana-1817	177	1	⃗𝑾𝟐	⃗𝑾𝟐	PROPN
cana-1817	178	1	⃗⃗	⃗⃗	PROPN
cana-1817	178	2	⃗⃗	⃗⃗	PROPN
cana-1817	178	3	⃗⃗	⃗⃗	PROPN
cana-1817	178	4	+	+	CCONJ
cana-1817	178	5	𝑿𝟑	𝑿𝟑	PROPN
cana-1817	178	6	⃗⃗⃗⃗	⃗⃗⃗⃗	PROPN
cana-1817	178	7	⃗𝑾𝟑	⃗𝑾𝟑	PROPN
cana-1817	178	8	⃗⃗	⃗⃗	PROPN
cana-1817	178	9	⃗⃗	⃗⃗	PROPN
cana-1817	178	10	⃗⃗	⃗⃗	PROPN
cana-1817	178	11	(	(	PUNCT
cana-1817	178	12	18	18	NUM
cana-1817	178	13	)	)	PUNCT
cana-1817	178	14	step	step	NOUN
cana-1817	178	15	4	4	NUM
cana-1817	178	16	–	–	PUNCT
cana-1817	178	17	repeat	repeat	NOUN
cana-1817	178	18	:	:	PUNCT
cana-1817	178	19	the	the	DET
cana-1817	178	20	algorithm	algorithm	NOUN
cana-1817	178	21	rigorously	rigorously	ADV
cana-1817	178	22	assesses	assess	VERB
cana-1817	178	23	whether	whether	SCONJ
cana-1817	178	24	the	the	DET
cana-1817	178	25	current	current	ADJ
cana-1817	178	26	search	search	NOUN
cana-1817	178	27	agent	agent	NOUN
cana-1817	178	28	surpasses	surpass	VERB
cana-1817	178	29	the	the	DET
cana-1817	178	30	fitness	fitness	NOUN
cana-1817	178	31	levels	level	NOUN
cana-1817	178	32	of	of	ADP
cana-1817	178	33	the	the	DET
cana-1817	178	34	alpha	alpha	NOUN
cana-1817	178	35	,	,	PUNCT
cana-1817	178	36	beta	beta	NOUN
cana-1817	178	37	,	,	PUNCT
cana-1817	178	38	and	and	CCONJ
cana-1817	178	39	delta	delta	NOUN
cana-1817	178	40	wolves	wolf	NOUN
cana-1817	178	41	.	.	PUNCT
cana-1817	179	1	in	in	ADP
cana-1817	179	2	the	the	DET
cana-1817	179	3	event	event	NOUN
cana-1817	179	4	of	of	ADP
cana-1817	179	5	superiority	superiority	NOUN
cana-1817	179	6	,	,	PUNCT
cana-1817	179	7	the	the	DET
cana-1817	179	8	respective	respective	ADJ
cana-1817	179	9	wolf	wolf	NOUN
cana-1817	179	10	's	's	PART
cana-1817	179	11	position	position	NOUN
cana-1817	179	12	and	and	CCONJ
cana-1817	179	13	fitness	fitness	NOUN
cana-1817	179	14	records	record	NOUN
cana-1817	179	15	are	be	AUX
cana-1817	179	16	updated	update	VERB
cana-1817	179	17	.	.	PUNCT
cana-1817	180	1	this	this	DET
cana-1817	180	2	iterative	iterative	NOUN
cana-1817	180	3	loop	loop	NOUN
cana-1817	180	4	persists	persist	VERB
cana-1817	180	5	for	for	ADP
cana-1817	180	6	the	the	DET
cana-1817	180	7	designated	designate	VERB
cana-1817	180	8	number	number	NOUN
cana-1817	180	9	of	of	ADP
cana-1817	180	10	iterations	iteration	NOUN
cana-1817	180	11	,	,	PUNCT
cana-1817	180	12	during	during	ADP
cana-1817	180	13	which	which	PRON
cana-1817	180	14	it	it	PRON
cana-1817	180	15	systematically	systematically	ADV
cana-1817	180	16	refines	refine	VERB
cana-1817	180	17	the	the	DET
cana-1817	180	18	positions	position	NOUN
cana-1817	180	19	of	of	ADP
cana-1817	180	20	the	the	DET
cana-1817	180	21	search	search	NOUN
cana-1817	180	22	agents	agent	NOUN
cana-1817	180	23	predicated	predicate	VERB
cana-1817	180	24	on	on	ADP
cana-1817	180	25	their	their	PRON
cana-1817	180	26	individual	individual	ADJ
cana-1817	180	27	fitness	fitness	NOUN
cana-1817	180	28	values	value	NOUN
cana-1817	180	29	and	and	CCONJ
cana-1817	180	30	the	the	DET
cana-1817	180	31	coordinates	coordinate	NOUN
cana-1817	180	32	of	of	ADP
cana-1817	180	33	the	the	DET
cana-1817	180	34	alpha	alpha	NOUN
cana-1817	180	35	,	,	PUNCT
cana-1817	180	36	beta	beta	NOUN
cana-1817	180	37	,	,	PUNCT
cana-1817	180	38	and	and	CCONJ
cana-1817	180	39	delta	delta	NOUN
cana-1817	180	40	wolves	wolf	NOUN
cana-1817	180	41	.	.	PUNCT
cana-1817	181	1	the	the	DET
cana-1817	181	2	fitness	fitness	NOUN
cana-1817	181	3	metric	metric	NOUN
cana-1817	181	4	of	of	ADP
cana-1817	181	5	the	the	DET
cana-1817	181	6	alpha	alpha	NOUN
cana-1817	181	7	wolf	wolf	PROPN
cana-1817	181	8	(	(	PUNCT
cana-1817	181	9	𝐹𝛼⃗⃗	𝐹𝛼⃗⃗	NOUN
cana-1817	181	10	⃗	⃗	NOUN
cana-1817	181	11	)	)	PUNCT
cana-1817	181	12	at	at	ADP
cana-1817	181	13	the	the	DET
cana-1817	181	14	present	present	ADJ
cana-1817	181	15	iteration	iteration	NOUN
cana-1817	181	16	is	be	AUX
cana-1817	181	17	meticulously	meticulously	ADV
cana-1817	181	18	logged	log	VERB
cana-1817	181	19	in	in	ADP
cana-1817	181	20	the	the	DET
cana-1817	181	21	convergence	convergence	NOUN
cana-1817	181	22	curve	curve	NOUN
cana-1817	181	23	.	.	PUNCT
cana-1817	182	1	ultimately	ultimately	ADV
cana-1817	182	2	,	,	PUNCT
cana-1817	182	3	the	the	DET
cana-1817	182	4	conclusive	conclusive	ADJ
cana-1817	182	5	alpha	alpha	NOUN
cana-1817	182	6	position	position	NOUN
cana-1817	182	7	(	(	PUNCT
cana-1817	182	8	𝑋𝛼	𝑋𝛼	PROPN
cana-1817	182	9	⃗⃗	⃗⃗	PROPN
cana-1817	182	10	⃗⃗	⃗⃗	PROPN
cana-1817	182	11	)	)	PUNCT
cana-1817	182	12	,	,	PUNCT
cana-1817	182	13	its	its	PRON
cana-1817	182	14	corresponding	correspond	VERB
cana-1817	182	15	fitness	fitness	NOUN
cana-1817	182	16	reading	reading	NOUN
cana-1817	182	17	(	(	PUNCT
cana-1817	182	18	𝐹𝛼⃗⃗	𝐹𝛼⃗⃗	NOUN
cana-1817	182	19	⃗	⃗	NOUN
cana-1817	182	20	)	)	PUNCT
cana-1817	182	21	,	,	PUNCT
cana-1817	182	22	and	and	CCONJ
cana-1817	182	23	the	the	DET
cana-1817	182	24	progression	progression	NOUN
cana-1817	182	25	pathway	pathway	NOUN
cana-1817	182	26	(	(	PUNCT
cana-1817	182	27	`	`	PUNCT
cana-1817	182	28	convergence_curve	convergence_curve	PROPN
cana-1817	182	29	`	`	PUNCT
cana-1817	182	30	)	)	PUNCT
cana-1817	182	31	collectively	collectively	ADV
cana-1817	182	32	constitute	constitute	VERB
cana-1817	182	33	the	the	DET
cana-1817	182	34	algorithm	algorithm	NOUN
cana-1817	182	35	's	's	PART
cana-1817	182	36	output	output	NOUN
cana-1817	182	37	.	.	PUNCT
cana-1817	183	1	as	as	ADP
cana-1817	183	2	a	a	DET
cana-1817	183	3	result	result	NOUN
cana-1817	183	4	,	,	PUNCT
cana-1817	183	5	the	the	DET
cana-1817	183	6	derived	derived	NOUN
cana-1817	183	7	(	(	PUNCT
cana-1817	183	8	𝑋𝛼	𝑋𝛼	PROPN
cana-1817	183	9	⃗⃗	⃗⃗	PROPN
cana-1817	183	10	⃗⃗	⃗⃗	PROPN
cana-1817	183	11	)	)	PUNCT
cana-1817	183	12	value	value	NOUN
cana-1817	183	13	stands	stand	VERB
cana-1817	183	14	poised	poise	VERB
cana-1817	183	15	to	to	PART
cana-1817	183	16	serve	serve	VERB
cana-1817	183	17	as	as	ADP
cana-1817	183	18	the	the	DET
cana-1817	183	19	optimal	optimal	ADJ
cana-1817	183	20	clip	clip	NOUN
cana-1817	183	21	limit	limit	NOUN
cana-1817	183	22	for	for	ADP
cana-1817	183	23	the	the	DET
cana-1817	183	24	subsequent	subsequent	ADJ
cana-1817	183	25	image	image	NOUN
cana-1817	183	26	enhancement	enhancement	NOUN
cana-1817	183	27	phase	phase	NOUN
cana-1817	183	28	.	.	PUNCT
cana-1817	184	1	fig	fig	NOUN
cana-1817	184	2	.	.	PUNCT
cana-1817	185	1	2	2	NUM
cana-1817	185	2	flow	flow	NOUN
cana-1817	185	3	diagram	diagram	NOUN
cana-1817	185	4	of	of	ADP
cana-1817	185	5	first	first	ADJ
cana-1817	185	6	phase	phase	NOUN
cana-1817	185	7	of	of	ADP
cana-1817	185	8	i.e.	i.e.	X
cana-1817	185	9	opticlahe	opticlahe	NOUN
cana-1817	185	10	weighted	weight	VERB
cana-1817	185	11	gwo	gwo	PROPN
cana-1817	185	12	communications	communication	NOUN
cana-1817	185	13	on	on	ADP
cana-1817	185	14	applied	apply	VERB
cana-1817	185	15	nonlinear	nonlinear	ADJ
cana-1817	185	16	analysis	analysis	NOUN
cana-1817	185	17	issn	issn	NOUN
cana-1817	185	18	:	:	PUNCT
cana-1817	185	19	1074	1074	NUM
cana-1817	185	20	-	-	PUNCT
cana-1817	185	21	133x	133x	NUM
cana-1817	185	22	vol	vol	NOUN
cana-1817	185	23	32	32	NUM
cana-1817	185	24	no	no	NOUN
cana-1817	185	25	.	.	NOUN
cana-1817	185	26	2	2	NUM
cana-1817	185	27	(	(	PUNCT
cana-1817	185	28	2025	2025	NUM
cana-1817	185	29	)	)	PUNCT
cana-1817	185	30	568	568	NUM
cana-1817	185	31	3.2	3.2	NUM
cana-1817	185	32	x	x	ADJ
cana-1817	185	33	-	-	ADJ
cana-1817	185	34	dense	dense	ADJ
cana-1817	185	35	net	net	ADJ
cana-1817	185	36	architecture	architecture	NOUN
cana-1817	185	37	this	this	DET
cana-1817	185	38	phase	phase	NOUN
cana-1817	185	39	aims	aim	VERB
cana-1817	185	40	to	to	PART
cana-1817	185	41	segment	segment	VERB
cana-1817	185	42	multiple	multiple	ADJ
cana-1817	185	43	organs	organ	NOUN
cana-1817	185	44	from	from	ADP
cana-1817	185	45	abdomen	abdomen	PROPN
cana-1817	185	46	ct	ct	NUM
cana-1817	185	47	scans	scan	NOUN
cana-1817	185	48	.	.	PUNCT
cana-1817	186	1	in	in	ADP
cana-1817	186	2	this	this	DET
cana-1817	186	3	phase	phase	NOUN
cana-1817	186	4	,	,	PUNCT
cana-1817	186	5	the	the	DET
cana-1817	186	6	2d	2d	NUM
cana-1817	186	7	ct	ct	NUM
cana-1817	186	8	enhanced	enhance	VERB
cana-1817	186	9	axial	axial	ADJ
cana-1817	186	10	slices	slice	NOUN
cana-1817	186	11	generated	generate	VERB
cana-1817	186	12	in	in	ADP
cana-1817	186	13	the	the	DET
cana-1817	186	14	previous	previous	ADJ
cana-1817	186	15	phase	phase	NOUN
cana-1817	186	16	are	be	AUX
cana-1817	186	17	taken	take	VERB
cana-1817	186	18	as	as	ADP
cana-1817	186	19	input	input	NOUN
cana-1817	186	20	and	and	CCONJ
cana-1817	186	21	2d	2d	NOUN
cana-1817	186	22	segmented	segment	VERB
cana-1817	186	23	axial	axial	ADJ
cana-1817	186	24	slices	slice	NOUN
cana-1817	186	25	are	be	AUX
cana-1817	186	26	produced	produce	VERB
cana-1817	186	27	as	as	ADP
cana-1817	186	28	outputs	output	NOUN
cana-1817	186	29	.	.	PUNCT
cana-1817	187	1	this	this	PRON
cana-1817	187	2	includes	include	VERB
cana-1817	187	3	two	two	NUM
cana-1817	187	4	steps	step	NOUN
cana-1817	187	5	:	:	PUNCT
cana-1817	187	6	(	(	PUNCT
cana-1817	187	7	i	i	NOUN
cana-1817	187	8	)	)	PUNCT
cana-1817	187	9	encoder	encoder	NOUN
cana-1817	187	10	stage	stage	NOUN
cana-1817	187	11	(	(	PUNCT
cana-1817	187	12	ii	ii	NOUN
cana-1817	187	13	)	)	PUNCT
cana-1817	187	14	decoder	decoder	NOUN
cana-1817	187	15	stage	stage	NOUN
cana-1817	187	16	.	.	PUNCT
cana-1817	188	1	initially	initially	ADV
cana-1817	188	2	,	,	PUNCT
cana-1817	188	3	ct	ct	PROPN
cana-1817	188	4	slices	slice	NOUN
cana-1817	188	5	are	be	AUX
cana-1817	188	6	enhanced	enhance	VERB
cana-1817	188	7	with	with	ADP
cana-1817	188	8	opticlahe	opticlahe	NOUN
cana-1817	188	9	weighted	weight	VERB
cana-1817	188	10	gwo	gwo	PROPN
cana-1817	188	11	and	and	CCONJ
cana-1817	188	12	the	the	DET
cana-1817	188	13	generated	generate	VERB
cana-1817	188	14	input	input	NOUN
cana-1817	188	15	is	be	AUX
cana-1817	188	16	passed	pass	VERB
cana-1817	188	17	to	to	ADP
cana-1817	188	18	the	the	DET
cana-1817	188	19	x	x	ADJ
cana-1817	188	20	-	-	ADJ
cana-1817	188	21	densenet	densenet	NOUN
cana-1817	188	22	architecture	architecture	NOUN
cana-1817	188	23	.	.	PUNCT
cana-1817	189	1	the	the	DET
cana-1817	189	2	enhanced	enhance	VERB
cana-1817	189	3	images	image	NOUN
cana-1817	189	4	have	have	VERB
cana-1817	189	5	better	well	ADJ
cana-1817	189	6	entropy	entropy	PROPN
cana-1817	189	7	information	information	NOUN
cana-1817	189	8	.	.	PUNCT
cana-1817	190	1	the	the	DET
cana-1817	190	2	detailed	detailed	ADJ
cana-1817	190	3	encoder	encoder	NOUN
cana-1817	190	4	and	and	CCONJ
cana-1817	190	5	decoder	decoder	NOUN
cana-1817	190	6	stage	stage	NOUN
cana-1817	190	7	of	of	ADP
cana-1817	190	8	the	the	DET
cana-1817	190	9	model	model	NOUN
cana-1817	190	10	is	be	AUX
cana-1817	190	11	given	give	VERB
cana-1817	190	12	below	below	ADV
cana-1817	190	13	:	:	PUNCT
cana-1817	190	14	(	(	PUNCT
cana-1817	190	15	i	i	NOUN
cana-1817	190	16	)	)	PUNCT
cana-1817	190	17	encoder	encoder	NOUN
cana-1817	190	18	stage	stage	VERB
cana-1817	190	19	the	the	DET
cana-1817	190	20	primary	primary	ADJ
cana-1817	190	21	goal	goal	NOUN
cana-1817	190	22	of	of	ADP
cana-1817	190	23	encoder	encoder	NOUN
cana-1817	190	24	stage	stage	NOUN
cana-1817	190	25	is	be	AUX
cana-1817	190	26	to	to	PART
cana-1817	190	27	extract	extract	VERB
cana-1817	190	28	fundamental	fundamental	ADJ
cana-1817	190	29	features	feature	NOUN
cana-1817	190	30	such	such	ADJ
cana-1817	190	31	as	as	ADP
cana-1817	190	32	edges	edge	NOUN
cana-1817	190	33	and	and	CCONJ
cana-1817	190	34	gradients	gradient	NOUN
cana-1817	190	35	.	.	PUNCT
cana-1817	191	1	it	it	PRON
cana-1817	191	2	takes	take	VERB
cana-1817	191	3	input	input	NOUN
cana-1817	191	4	images	image	NOUN
cana-1817	191	5	with	with	ADP
cana-1817	191	6	dimensions	dimension	NOUN
cana-1817	191	7	of	of	ADP
cana-1817	191	8	64x64x3	64x64x3	NUM
cana-1817	191	9	and	and	CCONJ
cana-1817	191	10	processes	process	VERB
cana-1817	191	11	them	they	PRON
cana-1817	191	12	via	via	ADP
cana-1817	191	13	a	a	DET
cana-1817	191	14	series	series	NOUN
cana-1817	191	15	of	of	ADP
cana-1817	191	16	convolutional	convolutional	ADJ
cana-1817	191	17	layer	layer	NOUN
cana-1817	191	18	.	.	PUNCT
cana-1817	192	1	there	there	PRON
cana-1817	192	2	are	be	VERB
cana-1817	192	3	15	15	NUM
cana-1817	192	4	convolutional	convolutional	ADJ
cana-1817	192	5	layer	layer	NOUN
cana-1817	192	6	in	in	ADP
cana-1817	192	7	both	both	DET
cana-1817	192	8	encoder	encoder	NOUN
cana-1817	192	9	and	and	CCONJ
cana-1817	192	10	decoder	decoder	NOUN
cana-1817	192	11	network	network	NOUN
cana-1817	192	12	with	with	ADP
cana-1817	192	13	kernel	kernel	PROPN
cana-1817	192	14	size	size	NOUN
cana-1817	192	15	of	of	ADP
cana-1817	192	16	3	3	NUM
cana-1817	192	17	x	x	SYM
cana-1817	192	18	3	3	X
cana-1817	192	19	.	.	X
cana-1817	193	1	we	we	PRON
cana-1817	193	2	have	have	AUX
cana-1817	193	3	designated	designate	VERB
cana-1817	193	4	the	the	DET
cana-1817	193	5	combination	combination	NOUN
cana-1817	193	6	of	of	ADP
cana-1817	193	7	downsampling	downsample	VERB
cana-1817	193	8	layers	layer	NOUN
cana-1817	193	9	as	as	ADP
cana-1817	193	10	block	block	NOUN
cana-1817	193	11	d	d	NOUN
cana-1817	193	12	,	,	PUNCT
cana-1817	193	13	where	where	SCONJ
cana-1817	193	14	batch	batch	NOUN
cana-1817	193	15	normalization	normalization	NOUN
cana-1817	193	16	is	be	AUX
cana-1817	193	17	employed	employ	VERB
cana-1817	193	18	after	after	SCONJ
cana-1817	193	19	each	each	DET
cana-1817	193	20	convolutional	convolutional	ADJ
cana-1817	193	21	operation	operation	NOUN
cana-1817	193	22	to	to	PART
cana-1817	193	23	stabilize	stabilize	VERB
cana-1817	193	24	and	and	CCONJ
cana-1817	193	25	accelerate	accelerate	VERB
cana-1817	193	26	the	the	DET
cana-1817	193	27	training	training	NOUN
cana-1817	193	28	process	process	NOUN
cana-1817	193	29	.	.	PUNCT
cana-1817	194	1	this	this	PRON
cana-1817	194	2	ensures	ensure	VERB
cana-1817	194	3	that	that	SCONJ
cana-1817	194	4	the	the	DET
cana-1817	194	5	model	model	NOUN
cana-1817	194	6	's	's	PART
cana-1817	194	7	parameters	parameter	NOUN
cana-1817	194	8	remain	remain	VERB
cana-1817	194	9	well	well	ADV
cana-1817	194	10	-	-	PUNCT
cana-1817	194	11	conditioned	condition	VERB
cana-1817	194	12	throughout	throughout	ADP
cana-1817	194	13	training	training	NOUN
cana-1817	194	14	.	.	PUNCT
cana-1817	195	1	then	then	ADV
cana-1817	195	2	,	,	PUNCT
cana-1817	195	3	activation	activation	NOUN
cana-1817	195	4	function	function	NOUN
cana-1817	195	5	,	,	PUNCT
cana-1817	195	6	specifically	specifically	ADV
cana-1817	195	7	relu	relu	NOUN
cana-1817	195	8	(	(	PUNCT
cana-1817	195	9	rectified	rectify	VERB
cana-1817	195	10	linear	linear	NOUN
cana-1817	195	11	unit	unit	NOUN
cana-1817	195	12	)	)	PUNCT
cana-1817	195	13	,	,	PUNCT
cana-1817	195	14	is	be	AUX
cana-1817	195	15	utilized	utilize	VERB
cana-1817	195	16	to	to	PART
cana-1817	195	17	introduce	introduce	VERB
cana-1817	195	18	non	non	ADJ
cana-1817	195	19	-	-	ADJ
cana-1817	195	20	linearity	linearity	ADJ
cana-1817	195	21	,	,	PUNCT
cana-1817	195	22	aiding	aid	VERB
cana-1817	195	23	the	the	DET
cana-1817	195	24	model	model	NOUN
cana-1817	195	25	in	in	ADP
cana-1817	195	26	learning	learn	VERB
cana-1817	195	27	complex	complex	ADJ
cana-1817	195	28	relationships	relationship	NOUN
cana-1817	195	29	within	within	ADP
cana-1817	195	30	the	the	DET
cana-1817	195	31	data	datum	NOUN
cana-1817	195	32	.	.	PUNCT
cana-1817	196	1	following	follow	VERB
cana-1817	196	2	,	,	PUNCT
cana-1817	196	3	max	max	PROPN
cana-1817	196	4	pooling	pooling	NOUN
cana-1817	196	5	layer	layer	NOUN
cana-1817	196	6	with	with	ADP
cana-1817	196	7	pool	pool	NOUN
cana-1817	196	8	size	size	NOUN
cana-1817	196	9	of	of	ADP
cana-1817	196	10	2	2	NUM
cana-1817	196	11	x	x	SYM
cana-1817	196	12	2	2	NUM
cana-1817	196	13	is	be	AUX
cana-1817	196	14	strategically	strategically	ADV
cana-1817	196	15	placed	place	VERB
cana-1817	196	16	to	to	ADP
cana-1817	196	17	down	down	ADP
cana-1817	196	18	-	-	PUNCT
cana-1817	196	19	sample	sample	NOUN
cana-1817	196	20	the	the	DET
cana-1817	196	21	feature	feature	NOUN
cana-1817	196	22	maps	map	NOUN
cana-1817	196	23	,	,	PUNCT
cana-1817	196	24	reducing	reduce	VERB
cana-1817	196	25	spatial	spatial	ADJ
cana-1817	196	26	dimensions	dimension	NOUN
cana-1817	196	27	while	while	SCONJ
cana-1817	196	28	retaining	retain	VERB
cana-1817	196	29	essential	essential	ADJ
cana-1817	196	30	information	information	NOUN
cana-1817	196	31	.	.	PUNCT
cana-1817	197	1	this	this	PRON
cana-1817	197	2	allows	allow	VERB
cana-1817	197	3	the	the	DET
cana-1817	197	4	model	model	NOUN
cana-1817	197	5	to	to	PART
cana-1817	197	6	capture	capture	VERB
cana-1817	197	7	higher	high	ADJ
cana-1817	197	8	-	-	PUNCT
cana-1817	197	9	level	level	NOUN
cana-1817	197	10	features	feature	NOUN
cana-1817	197	11	in	in	ADP
cana-1817	197	12	subsequent	subsequent	ADJ
cana-1817	197	13	layers	layer	NOUN
cana-1817	197	14	efficiently	efficiently	ADV
cana-1817	197	15	[	[	X
cana-1817	197	16	42	42	NUM
cana-1817	197	17	]	]	PUNCT
cana-1817	197	18	.	.	PUNCT
cana-1817	198	1	inspired	inspire	VERB
cana-1817	198	2	from	from	ADP
cana-1817	198	3	[	[	X
cana-1817	198	4	13	13	NUM
cana-1817	198	5	]	]	PUNCT
cana-1817	198	6	and	and	CCONJ
cana-1817	198	7	[	[	X
cana-1817	198	8	43	43	NUM
cana-1817	198	9	]	]	X
cana-1817	198	10	,	,	PUNCT
cana-1817	198	11	dense	dense	ADJ
cana-1817	198	12	convolutional	convolutional	ADJ
cana-1817	198	13	network	network	NOUN
cana-1817	198	14	,	,	PUNCT
cana-1817	198	15	or	or	CCONJ
cana-1817	198	16	densenet	densenet	NOUN
cana-1817	198	17	layer	layer	NOUN
cana-1817	198	18	is	be	AUX
cana-1817	198	19	added	add	VERB
cana-1817	198	20	to	to	ADP
cana-1817	198	21	the	the	DET
cana-1817	198	22	architecture	architecture	NOUN
cana-1817	198	23	after	after	ADP
cana-1817	198	24	max	max	PROPN
cana-1817	198	25	-	-	PUNCT
cana-1817	198	26	pool	pool	NOUN
cana-1817	198	27	layer	layer	NOUN
cana-1817	198	28	.	.	PUNCT
cana-1817	199	1	in	in	ADP
cana-1817	199	2	dense	dense	ADJ
cana-1817	199	3	block	block	NOUN
cana-1817	199	4	structure	structure	NOUN
cana-1817	199	5	,	,	PUNCT
cana-1817	199	6	one	one	NUM
cana-1817	199	7	convolution	convolution	NOUN
cana-1817	199	8	layer	layer	NOUN
cana-1817	199	9	is	be	AUX
cana-1817	199	10	intricately	intricately	ADV
cana-1817	199	11	connected	connect	VERB
cana-1817	199	12	to	to	ADP
cana-1817	199	13	every	every	DET
cana-1817	199	14	subsequent	subsequent	ADJ
cana-1817	199	15	convolution	convolution	NOUN
cana-1817	199	16	layer	layer	NOUN
cana-1817	199	17	passing	pass	VERB
cana-1817	199	18	feature	feature	NOUN
cana-1817	199	19	maps	map	NOUN
cana-1817	199	20	in	in	ADP
cana-1817	199	21	a	a	DET
cana-1817	199	22	feed	feed	NOUN
cana-1817	199	23	-	-	PUNCT
cana-1817	199	24	forward	forward	NOUN
cana-1817	199	25	manner	manner	NOUN
cana-1817	199	26	,	,	PUNCT
cana-1817	199	27	creating	create	VERB
cana-1817	199	28	a	a	DET
cana-1817	199	29	highly	highly	ADV
cana-1817	199	30	interlinked	interlinked	ADJ
cana-1817	199	31	network	network	NOUN
cana-1817	199	32	structure	structure	NOUN
cana-1817	199	33	in	in	ADP
cana-1817	199	34	dense	dense	ADJ
cana-1817	199	35	block	block	NOUN
cana-1817	199	36	.	.	PUNCT
cana-1817	200	1	the	the	DET
cana-1817	200	2	three	three	NUM
cana-1817	200	3	-	-	PUNCT
cana-1817	200	4	layer	layer	NOUN
cana-1817	200	5	dense	dense	ADJ
cana-1817	200	6	block	block	NOUN
cana-1817	200	7	is	be	AUX
cana-1817	200	8	utilized	utilize	VERB
cana-1817	200	9	and	and	CCONJ
cana-1817	200	10	the	the	DET
cana-1817	200	11	schematic	schematic	ADJ
cana-1817	200	12	diagram	diagram	NOUN
cana-1817	200	13	for	for	ADP
cana-1817	200	14	the	the	DET
cana-1817	200	15	same	same	ADJ
cana-1817	200	16	is	be	AUX
cana-1817	200	17	shown	show	VERB
cana-1817	200	18	in	in	ADP
cana-1817	200	19	fig	fig	NOUN
cana-1817	200	20	4	4	NUM
cana-1817	200	21	.	.	PUNCT
cana-1817	201	1	they	they	PRON
cana-1817	201	2	effectively	effectively	ADV
cana-1817	201	3	address	address	VERB
cana-1817	201	4	the	the	DET
cana-1817	201	5	vanishinggradient	vanishinggradient	ADJ
cana-1817	201	6	problem	problem	NOUN
cana-1817	201	7	that	that	PRON
cana-1817	201	8	has	have	AUX
cana-1817	201	9	plagued	plague	VERB
cana-1817	201	10	deep	deep	ADJ
cana-1817	201	11	neural	neural	ADJ
cana-1817	201	12	networks	network	NOUN
cana-1817	201	13	,	,	PUNCT
cana-1817	201	14	facilitating	facilitate	VERB
cana-1817	201	15	the	the	DET
cana-1817	201	16	unhindered	unhindered	ADJ
cana-1817	201	17	flow	flow	NOUN
cana-1817	201	18	of	of	ADP
cana-1817	201	19	gradients	gradient	NOUN
cana-1817	201	20	during	during	ADP
cana-1817	201	21	training	training	NOUN
cana-1817	201	22	.	.	PUNCT
cana-1817	202	1	additionally	additionally	ADV
cana-1817	202	2	,	,	PUNCT
cana-1817	202	3	they	they	PRON
cana-1817	202	4	promote	promote	VERB
cana-1817	202	5	robust	robust	ADJ
cana-1817	202	6	feature	feature	NOUN
cana-1817	202	7	propagation	propagation	NOUN
cana-1817	202	8	,	,	PUNCT
cana-1817	202	9	encouraging	encourage	VERB
cana-1817	202	10	the	the	DET
cana-1817	202	11	seamless	seamless	ADJ
cana-1817	202	12	transfer	transfer	NOUN
cana-1817	202	13	of	of	ADP
cana-1817	202	14	information	information	NOUN
cana-1817	202	15	across	across	ADP
cana-1817	202	16	layers	layer	NOUN
cana-1817	202	17	.	.	PUNCT
cana-1817	203	1	this	this	DET
cana-1817	203	2	design	design	NOUN
cana-1817	203	3	also	also	ADV
cana-1817	203	4	fosters	foster	VERB
cana-1817	203	5	the	the	DET
cana-1817	203	6	efficient	efficient	ADJ
cana-1817	203	7	reuse	reuse	NOUN
cana-1817	203	8	of	of	ADP
cana-1817	203	9	features	feature	NOUN
cana-1817	203	10	,	,	PUNCT
cana-1817	203	11	thereby	thereby	ADV
cana-1817	203	12	reducing	reduce	VERB
cana-1817	203	13	redundancy	redundancy	NOUN
cana-1817	203	14	and	and	CCONJ
cana-1817	203	15	substantially	substantially	ADV
cana-1817	203	16	curtailing	curtail	VERB
cana-1817	203	17	the	the	DET
cana-1817	203	18	total	total	ADJ
cana-1817	203	19	number	number	NOUN
cana-1817	203	20	of	of	ADP
cana-1817	203	21	model	model	NOUN
cana-1817	203	22	parameters	parameter	NOUN
cana-1817	203	23	.	.	PUNCT
cana-1817	204	1	the	the	DET
cana-1817	204	2	filter	filter	NOUN
cana-1817	204	3	depth	depth	NOUN
cana-1817	204	4	for	for	ADP
cana-1817	204	5	convolutions	convolution	NOUN
cana-1817	204	6	layers	layer	NOUN
cana-1817	204	7	and	and	CCONJ
cana-1817	204	8	dense	dense	ADJ
cana-1817	204	9	block	block	NOUN
cana-1817	204	10	is	be	AUX
cana-1817	204	11	(	(	PUNCT
cana-1817	204	12	64,128,256,512	64,128,256,512	NUM
cana-1817	204	13	)	)	PUNCT
cana-1817	204	14	.	.	PUNCT
cana-1817	205	1	subsequently	subsequently	ADV
cana-1817	205	2	,	,	PUNCT
cana-1817	205	3	the	the	DET
cana-1817	205	4	model	model	NOUN
cana-1817	205	5	employs	employ	VERB
cana-1817	205	6	multi	multi	ADJ
cana-1817	205	7	-	-	ADJ
cana-1817	205	8	resolution	resolution	ADJ
cana-1817	205	9	dense	dense	ADJ
cana-1817	205	10	blocks	block	NOUN
cana-1817	205	11	,	,	PUNCT
cana-1817	205	12	which	which	PRON
cana-1817	205	13	are	be	AUX
cana-1817	205	14	crucial	crucial	ADJ
cana-1817	205	15	in	in	ADP
cana-1817	205	16	capturing	capture	VERB
cana-1817	205	17	features	feature	NOUN
cana-1817	205	18	at	at	ADP
cana-1817	205	19	different	different	ADJ
cana-1817	205	20	scales	scale	NOUN
cana-1817	205	21	and	and	CCONJ
cana-1817	205	22	able	able	ADJ
cana-1817	205	23	to	to	PART
cana-1817	205	24	capture	capture	VERB
cana-1817	205	25	the	the	DET
cana-1817	205	26	complex	complex	ADJ
cana-1817	205	27	relationship	relationship	NOUN
cana-1817	205	28	and	and	CCONJ
cana-1817	205	29	features	feature	NOUN
cana-1817	205	30	of	of	ADP
cana-1817	205	31	the	the	DET
cana-1817	205	32	organs	organ	NOUN
cana-1817	205	33	.	.	PUNCT
cana-1817	206	1	these	these	DET
cana-1817	206	2	blocks	block	NOUN
cana-1817	206	3	consist	consist	VERB
cana-1817	206	4	of	of	ADP
cana-1817	206	5	densely	densely	ADV
cana-1817	206	6	connected	connect	VERB
cana-1817	206	7	convolutional	convolutional	ADJ
cana-1817	206	8	layers	layer	NOUN
cana-1817	206	9	,	,	PUNCT
cana-1817	206	10	promoting	promote	VERB
cana-1817	206	11	effective	effective	ADJ
cana-1817	206	12	feature	feature	NOUN
cana-1817	206	13	reuse	reuse	NOUN
cana-1817	206	14	and	and	CCONJ
cana-1817	206	15	propagation	propagation	NOUN
cana-1817	206	16	.	.	PUNCT
cana-1817	207	1	it	it	PRON
cana-1817	207	2	is	be	AUX
cana-1817	207	3	designed	design	VERB
cana-1817	207	4	to	to	PART
cana-1817	207	5	optimize	optimize	VERB
cana-1817	207	6	the	the	DET
cana-1817	207	7	concatenation	concatenation	NOUN
cana-1817	207	8	of	of	ADP
cana-1817	207	9	features	feature	NOUN
cana-1817	207	10	,	,	PUNCT
cana-1817	207	11	ensuring	ensure	VERB
cana-1817	207	12	that	that	SCONJ
cana-1817	207	13	multiple	multiple	ADJ
cana-1817	207	14	copies	copy	NOUN
cana-1817	207	15	of	of	ADP
cana-1817	207	16	feature	feature	NOUN
cana-1817	207	17	maps	map	NOUN
cana-1817	207	18	are	be	AUX
cana-1817	207	19	not	not	PART
cana-1817	207	20	needlessly	needlessly	ADV
cana-1817	207	21	stored	store	VERB
cana-1817	207	22	,	,	PUNCT
cana-1817	207	23	ultimately	ultimately	ADV
cana-1817	207	24	achieving	achieve	VERB
cana-1817	207	25	memory	memory	NOUN
cana-1817	207	26	efficiency	efficiency	NOUN
cana-1817	207	27	.	.	PUNCT
cana-1817	208	1	in	in	ADP
cana-1817	208	2	scenarios	scenario	NOUN
cana-1817	208	3	where	where	SCONJ
cana-1817	208	4	memory	memory	NOUN
cana-1817	208	5	constraints	constraint	NOUN
cana-1817	208	6	become	become	VERB
cana-1817	208	7	a	a	DET
cana-1817	208	8	factor	factor	NOUN
cana-1817	208	9	and	and	CCONJ
cana-1817	208	10	retention	retention	NOUN
cana-1817	208	11	of	of	ADP
cana-1817	208	12	limited	limited	ADJ
cana-1817	208	13	activation	activation	NOUN
cana-1817	208	14	maps	map	NOUN
cana-1817	208	15	in	in	ADP
cana-1817	208	16	memory	memory	NOUN
cana-1817	208	17	,	,	PUNCT
cana-1817	208	18	earlier	early	ADJ
cana-1817	208	19	layer	layer	NOUN
cana-1817	208	20	information	information	NOUN
cana-1817	208	21	is	be	AUX
cana-1817	208	22	stored	store	VERB
cana-1817	208	23	only	only	ADV
cana-1817	208	24	once	once	ADV
cana-1817	208	25	but	but	CCONJ
cana-1817	208	26	remains	remain	VERB
cana-1817	208	27	accessible	accessible	ADJ
cana-1817	208	28	for	for	ADP
cana-1817	208	29	subsequent	subsequent	ADJ
cana-1817	208	30	layers	layer	NOUN
cana-1817	208	31	.	.	PUNCT
cana-1817	209	1	these	these	DET
cana-1817	209	2	dense	dense	ADJ
cana-1817	209	3	blocks	block	NOUN
cana-1817	209	4	help	help	VERB
cana-1817	209	5	to	to	PART
cana-1817	209	6	mitigate	mitigate	VERB
cana-1817	209	7	memory	memory	NOUN
cana-1817	209	8	overhead.down	overhead.down	NOUN
cana-1817	209	9	-	-	PUNCT
cana-1817	209	10	sampling	sampling	NOUN
cana-1817	209	11	is	be	AUX
cana-1817	209	12	achieved	achieve	VERB
cana-1817	209	13	through	through	ADP
cana-1817	209	14	max	max	PROPN
cana-1817	209	15	-	-	PUNCT
cana-1817	209	16	pooling	pool	VERB
cana-1817	209	17	layers	layer	NOUN
cana-1817	209	18	after	after	ADP
cana-1817	209	19	each	each	DET
cana-1817	209	20	dense	dense	ADJ
cana-1817	209	21	block	block	NOUN
cana-1817	209	22	,	,	PUNCT
cana-1817	209	23	allowing	allow	VERB
cana-1817	209	24	the	the	DET
cana-1817	209	25	model	model	NOUN
cana-1817	209	26	to	to	PART
cana-1817	209	27	focus	focus	VERB
cana-1817	209	28	on	on	ADP
cana-1817	209	29	higher	high	ADJ
cana-1817	209	30	-	-	PUNCT
cana-1817	209	31	level	level	NOUN
cana-1817	209	32	features	feature	NOUN
cana-1817	209	33	.	.	PUNCT
cana-1817	210	1	the	the	DET
cana-1817	210	2	n	n	CCONJ
cana-1817	210	3	down	down	ADV
cana-1817	210	4	-	-	PUNCT
cana-1817	210	5	sampling	sample	VERB
cana-1817	210	6	blocks	block	NOUN
cana-1817	210	7	i.e.	i.e.	X
cana-1817	210	8	d	d	ADP
cana-1817	210	9	blocks	block	NOUN
cana-1817	210	10	with	with	ADP
cana-1817	210	11	feature	feature	NOUN
cana-1817	210	12	map	map	NOUN
cana-1817	210	13	height	height	NOUN
cana-1817	210	14	h	h	NOUN
cana-1817	210	15	and	and	CCONJ
cana-1817	210	16	width	width	ADJ
cana-1817	210	17	w	w	NOUN
cana-1817	210	18	can	can	AUX
cana-1817	210	19	be	be	AUX
cana-1817	210	20	denoted	denote	VERB
cana-1817	210	21	as	as	SCONJ
cana-1817	210	22	follows	follow	VERB
cana-1817	210	23	:	:	PUNCT
cana-1817	210	24	𝑫𝒉,𝒘	𝑫𝒉,𝒘	X
cana-1817	210	25	=	=	SYM
cana-1817	210	26	{	{	PUNCT
cana-1817	210	27	𝑫𝒉,𝒘	𝑫𝒉,𝒘	X
cana-1817	210	28	𝟎	𝟎	NUM
cana-1817	210	29	,	,	PUNCT
cana-1817	210	30	𝑫𝒉,𝒘	𝑫𝒉,𝒘	X
cana-1817	210	31	𝟐	𝟐	NUM
cana-1817	210	32	,	,	PUNCT
cana-1817	210	33	…	…	PUNCT
cana-1817	210	34	…	…	PUNCT
cana-1817	210	35	……	……	X
cana-1817	210	36	.	.	PUNCT
cana-1817	210	37	.	.	PUNCT
cana-1817	211	1	𝑫𝒉,𝒘	𝑫𝒉,𝒘	X
cana-1817	211	2	𝒏	𝒏	PROPN
cana-1817	211	3	}	}	PUNCT
cana-1817	211	4	(	(	PUNCT
cana-1817	211	5	19	19	NUM
cana-1817	211	6	)	)	PUNCT
cana-1817	211	7	where	where	SCONJ
cana-1817	211	8	height	height	NOUN
cana-1817	211	9	and	and	CCONJ
cana-1817	211	10	width	width	NOUN
cana-1817	211	11	of	of	ADP
cana-1817	211	12	feature	feature	NOUN
cana-1817	211	13	map	map	NOUN
cana-1817	211	14	is	be	AUX
cana-1817	211	15	dependent	dependent	ADJ
cana-1817	211	16	on	on	ADP
cana-1817	211	17	input	input	NOUN
cana-1817	211	18	feature	feature	NOUN
cana-1817	211	19	map	map	NOUN
cana-1817	211	20	to	to	ADP
cana-1817	211	21	the	the	DET
cana-1817	211	22	block	block	NOUN
cana-1817	211	23	(	(	PUNCT
cana-1817	211	24	ℎ𝑖𝑛𝑝𝑢𝑡	ℎ𝑖𝑛𝑝𝑢𝑡	PROPN
cana-1817	211	25	,	,	PUNCT
cana-1817	211	26	𝑤𝑖𝑛𝑝𝑢𝑡	𝑤𝑖𝑛𝑝𝑢𝑡	NOUN
cana-1817	211	27	)	)	PUNCT
cana-1817	211	28	defined	define	VERB
cana-1817	211	29	as	as	ADP
cana-1817	211	30	given	give	VERB
cana-1817	211	31	below	below	ADP
cana-1817	211	32	:	:	PUNCT
cana-1817	211	33	communications	communication	NOUN
cana-1817	211	34	on	on	ADP
cana-1817	211	35	applied	apply	VERB
cana-1817	211	36	nonlinear	nonlinear	ADJ
cana-1817	211	37	analysis	analysis	NOUN
cana-1817	211	38	issn	issn	NOUN
cana-1817	211	39	:	:	PUNCT
cana-1817	211	40	1074	1074	NUM
cana-1817	211	41	-	-	PUNCT
cana-1817	211	42	133x	133x	NUM
cana-1817	211	43	vol	vol	NOUN
cana-1817	211	44	32	32	NUM
cana-1817	211	45	no	no	NOUN
cana-1817	211	46	.	.	NOUN
cana-1817	211	47	2	2	NUM
cana-1817	211	48	(	(	PUNCT
cana-1817	211	49	2025	2025	NUM
cana-1817	211	50	)	)	PUNCT
cana-1817	212	1	569	569	NUM
cana-1817	212	2	𝐡	𝐡	NOUN
cana-1817	212	3	=	=	SYM
cana-1817	212	4	𝐡𝐢𝐧𝐩𝐮𝐭	𝐡𝐢𝐧𝐩𝐮𝐭	X
cana-1817	212	5	𝟐	𝟐	NUM
cana-1817	212	6	,	,	PUNCT
cana-1817	212	7	𝐰	𝐰	X
cana-1817	212	8	=	=	X
cana-1817	212	9	𝐰𝐢𝐧𝐩𝐮𝐭	𝐰𝐢𝐧𝐩𝐮𝐭	X
cana-1817	212	10	𝟐	𝟐	NUM
cana-1817	212	11	(	(	PUNCT
cana-1817	212	12	20	20	NUM
cana-1817	212	13	)	)	PUNCT
cana-1817	212	14	it	it	PRON
cana-1817	212	15	can	can	AUX
cana-1817	212	16	be	be	AUX
cana-1817	212	17	seen	see	VERB
cana-1817	212	18	in	in	ADP
cana-1817	212	19	architecture	architecture	NOUN
cana-1817	212	20	proposed	propose	VERB
cana-1817	212	21	in	in	ADP
cana-1817	212	22	fig	fig	NOUN
cana-1817	212	23	3	3	NUM
cana-1817	212	24	that	that	PRON
cana-1817	212	25	down	down	ADV
cana-1817	212	26	-	-	PUNCT
cana-1817	212	27	sampling	sampling	NOUN
cana-1817	212	28	can	can	AUX
cana-1817	212	29	be	be	AUX
cana-1817	212	30	achieved	achieve	VERB
cana-1817	212	31	through	through	ADP
cana-1817	212	32	{	{	PUNCT
cana-1817	212	33	ddense	ddense	NOUN
cana-1817	212	34	blocks	block	NOUN
cana-1817	212	35	}	}	PUNCT
cana-1817	212	36	which	which	PRON
cana-1817	212	37	uses	use	VERB
cana-1817	212	38	same	same	ADJ
cana-1817	212	39	equation	equation	NOUN
cana-1817	212	40	to	to	PART
cana-1817	212	41	calculate	calculate	VERB
cana-1817	212	42	the	the	DET
cana-1817	212	43	feature	feature	NOUN
cana-1817	212	44	map	map	NOUN
cana-1817	212	45	size	size	NOUN
cana-1817	212	46	.	.	PUNCT
cana-1817	213	1	fig	fig	NOUN
cana-1817	213	2	.	.	PUNCT
cana-1817	214	1	3	3	NUM
cana-1817	214	2	network	network	NOUN
cana-1817	214	3	architecture	architecture	NOUN
cana-1817	214	4	of	of	ADP
cana-1817	214	5	proposed	propose	VERB
cana-1817	214	6	x	x	ADJ
cana-1817	214	7	-	-	ADJ
cana-1817	214	8	densenet	densenet	NOUN
cana-1817	214	9	model	model	NOUN
cana-1817	214	10	communications	communication	NOUN
cana-1817	214	11	on	on	ADP
cana-1817	214	12	applied	apply	VERB
cana-1817	214	13	nonlinear	nonlinear	ADJ
cana-1817	214	14	analysis	analysis	NOUN
cana-1817	214	15	issn	issn	NOUN
cana-1817	214	16	:	:	PUNCT
cana-1817	214	17	1074	1074	NUM
cana-1817	214	18	-	-	PUNCT
cana-1817	214	19	133x	133x	NUM
cana-1817	214	20	vol	vol	NOUN
cana-1817	214	21	32	32	NUM
cana-1817	214	22	no	no	NOUN
cana-1817	214	23	.	.	NOUN
cana-1817	214	24	2	2	NUM
cana-1817	214	25	(	(	PUNCT
cana-1817	214	26	2025	2025	NUM
cana-1817	214	27	)	)	PUNCT
cana-1817	214	28	570	570	NUM
cana-1817	214	29	(	(	PUNCT
cana-1817	214	30	ii	ii	NOUN
cana-1817	214	31	)	)	PUNCT
cana-1817	214	32	decoder	decoder	NOUN
cana-1817	214	33	stage	stage	NOUN
cana-1817	214	34	in	in	ADP
cana-1817	214	35	the	the	DET
cana-1817	214	36	decoder	decoder	NOUN
cana-1817	214	37	stage	stage	NOUN
cana-1817	214	38	,	,	PUNCT
cana-1817	214	39	the	the	DET
cana-1817	214	40	model	model	NOUN
cana-1817	214	41	reconstructs	reconstruct	VERB
cana-1817	214	42	the	the	DET
cana-1817	214	43	segmented	segment	VERB
cana-1817	214	44	regions	region	NOUN
cana-1817	214	45	based	base	VERB
cana-1817	214	46	on	on	ADP
cana-1817	214	47	the	the	DET
cana-1817	214	48	features	feature	NOUN
cana-1817	214	49	extracted	extract	VERB
cana-1817	214	50	by	by	ADP
cana-1817	214	51	the	the	DET
cana-1817	214	52	encoder	encoder	NOUN
cana-1817	214	53	.	.	PUNCT
cana-1817	215	1	the	the	DET
cana-1817	215	2	n	n	NUM
cana-1817	215	3	blocks	block	NOUN
cana-1817	215	4	dedicated	dedicate	VERB
cana-1817	215	5	for	for	ADP
cana-1817	215	6	upsampling	upsampling	NOUN
cana-1817	215	7	are	be	AUX
cana-1817	215	8	𝑈𝐻,𝑊	𝑈𝐻,𝑊	NOUN
cana-1817	215	9	=	=	SYM
cana-1817	215	10	{	{	PUNCT
cana-1817	215	11	𝑈𝐻,𝑊	𝑈𝐻,𝑊	PROPN
cana-1817	215	12	1	1	NUM
cana-1817	215	13	,	,	PUNCT
cana-1817	215	14	𝑈𝐻,𝑊	𝑈𝐻,𝑊	PROPN
cana-1817	215	15	2	2	NUM
cana-1817	215	16	,	,	PUNCT
cana-1817	215	17	𝑈𝐻,𝑊	𝑈𝐻,𝑊	PROPN
cana-1817	215	18	3	3	NUM
cana-1817	215	19	…	…	SYM
cana-1817	215	20	…	…	PUNCT
cana-1817	215	21	𝑈𝐻,𝑊	𝑈𝐻,𝑊	PROPN
cana-1817	215	22	𝑁	𝑁	PROPN
cana-1817	215	23	}	}	PUNCT
cana-1817	215	24	.	.	PUNCT
cana-1817	216	1	it	it	PRON
cana-1817	216	2	starts	start	VERB
cana-1817	216	3	with	with	ADP
cana-1817	216	4	up	up	ADV
cana-1817	216	5	-	-	PUNCT
cana-1817	216	6	sampling	sample	VERB
cana-1817	216	7	layers	layer	NOUN
cana-1817	216	8	to	to	PART
cana-1817	216	9	restore	restore	VERB
cana-1817	216	10	spatial	spatial	ADJ
cana-1817	216	11	information	information	NOUN
cana-1817	216	12	lost	lose	VERB
cana-1817	216	13	during	during	ADP
cana-1817	216	14	the	the	DET
cana-1817	216	15	downsampling	downsampling	NOUN
cana-1817	216	16	in	in	ADP
cana-1817	216	17	the	the	DET
cana-1817	216	18	encoder	encoder	NOUN
cana-1817	216	19	.	.	PUNCT
cana-1817	217	1	the	the	DET
cana-1817	217	2	concatenation	concatenation	NOUN
cana-1817	217	3	of	of	ADP
cana-1817	217	4	features	feature	NOUN
cana-1817	217	5	from	from	ADP
cana-1817	217	6	different	different	ADJ
cana-1817	217	7	resolutions	resolution	NOUN
cana-1817	217	8	is	be	AUX
cana-1817	217	9	employed	employ	VERB
cana-1817	217	10	to	to	PART
cana-1817	217	11	preserve	preserve	VERB
cana-1817	217	12	fine	fine	ADV
cana-1817	217	13	-	-	PUNCT
cana-1817	217	14	grained	grain	VERB
cana-1817	217	15	details	detail	NOUN
cana-1817	217	16	.	.	PUNCT
cana-1817	218	1	this	this	DET
cana-1817	218	2	block	block	NOUN
cana-1817	218	3	comprises	comprise	VERB
cana-1817	218	4	upsampling	upsample	VERB
cana-1817	218	5	layer	layer	NOUN
cana-1817	218	6	,	,	PUNCT
cana-1817	218	7	then	then	ADV
cana-1817	218	8	convolutional	convolutional	ADJ
cana-1817	218	9	layer	layer	NOUN
cana-1817	218	10	with	with	ADP
cana-1817	218	11	same	same	ADJ
cana-1817	218	12	filter	filter	NOUN
cana-1817	218	13	and	and	CCONJ
cana-1817	218	14	kernel	kernel	NOUN
cana-1817	218	15	size	size	NOUN
cana-1817	218	16	as	as	ADP
cana-1817	218	17	in	in	ADP
cana-1817	218	18	encoder	encoder	NOUN
cana-1817	218	19	stage	stage	NOUN
cana-1817	218	20	.	.	PUNCT
cana-1817	219	1	these	these	DET
cana-1817	219	2	layers	layer	NOUN
cana-1817	219	3	are	be	AUX
cana-1817	219	4	followed	follow	VERB
cana-1817	219	5	by	by	ADP
cana-1817	219	6	batch	batch	NOUN
cana-1817	219	7	normalization	normalization	NOUN
cana-1817	219	8	and	and	CCONJ
cana-1817	219	9	relu	relu	NOUN
cana-1817	219	10	activation	activation	NOUN
cana-1817	219	11	.	.	PUNCT
cana-1817	220	1	then	then	ADV
cana-1817	220	2	skip	skip	VERB
cana-1817	220	3	connections	connection	NOUN
cana-1817	220	4	provides	provide	VERB
cana-1817	220	5	the	the	DET
cana-1817	220	6	feature	feature	NOUN
cana-1817	220	7	concatenation	concatenation	NOUN
cana-1817	220	8	and	and	CCONJ
cana-1817	220	9	fine	fine	ADJ
cana-1817	220	10	graded	grade	VERB
cana-1817	220	11	details	detail	NOUN
cana-1817	220	12	.	.	PUNCT
cana-1817	221	1	the	the	DET
cana-1817	221	2	decoder	decoder	NOUN
cana-1817	221	3	concludes	conclude	VERB
cana-1817	221	4	with	with	ADP
cana-1817	221	5	a	a	DET
cana-1817	221	6	1x1	1x1	NUM
cana-1817	221	7	convolutional	convolutional	ADJ
cana-1817	221	8	layer	layer	NOUN
cana-1817	221	9	followed	follow	VERB
cana-1817	221	10	by	by	ADP
cana-1817	221	11	a	a	DET
cana-1817	221	12	softmax	softmax	NOUN
cana-1817	221	13	activation	activation	NOUN
cana-1817	221	14	,	,	PUNCT
cana-1817	221	15	generating	generate	VERB
cana-1817	221	16	the	the	DET
cana-1817	221	17	final	final	ADJ
cana-1817	221	18	segmentation	segmentation	NOUN
cana-1817	221	19	mask	mask	NOUN
cana-1817	221	20	.	.	PUNCT
cana-1817	222	1	the	the	PRON
cana-1817	222	2	detailed	detailed	ADJ
cana-1817	222	3	training	training	NOUN
cana-1817	222	4	hyper	hyper	NOUN
cana-1817	222	5	-	-	NOUN
cana-1817	222	6	parameters	parameter	NOUN
cana-1817	222	7	are	be	AUX
cana-1817	222	8	presented	present	VERB
cana-1817	222	9	in	in	ADP
cana-1817	222	10	table	table	NOUN
cana-1817	222	11	1	1	NUM
cana-1817	222	12	.	.	PUNCT
cana-1817	223	1	the	the	DET
cana-1817	223	2	provided	provide	VERB
cana-1817	223	3	skip	skip	ADJ
cana-1817	223	4	connections	connection	NOUN
cana-1817	223	5	will	will	AUX
cana-1817	223	6	allow	allow	VERB
cana-1817	223	7	the	the	DET
cana-1817	223	8	low	low	ADJ
cana-1817	223	9	level	level	NOUN
cana-1817	223	10	features	feature	NOUN
cana-1817	223	11	maps	map	NOUN
cana-1817	223	12	generated	generate	VERB
cana-1817	223	13	in	in	ADP
cana-1817	223	14	encoder	encoder	NOUN
cana-1817	223	15	stage	stage	NOUN
cana-1817	223	16	to	to	PART
cana-1817	223	17	flow	flow	VERB
cana-1817	223	18	through	through	ADP
cana-1817	223	19	the	the	DET
cana-1817	223	20	network	network	NOUN
cana-1817	223	21	in	in	ADP
cana-1817	223	22	later	later	ADJ
cana-1817	223	23	stages	stage	NOUN
cana-1817	223	24	.	.	PUNCT
cana-1817	224	1	the	the	DET
cana-1817	224	2	detailed	detailed	ADJ
cana-1817	224	3	features	feature	NOUN
cana-1817	224	4	maps	map	NOUN
cana-1817	224	5	size	size	NOUN
cana-1817	224	6	and	and	CCONJ
cana-1817	224	7	skip	skip	ADJ
cana-1817	224	8	connections	connection	NOUN
cana-1817	224	9	are	be	AUX
cana-1817	224	10	presented	present	VERB
cana-1817	224	11	in	in	ADP
cana-1817	224	12	fig	fig	NOUN
cana-1817	224	13	3	3	NUM
cana-1817	224	14	.	.	PUNCT
cana-1817	225	1	the	the	DET
cana-1817	225	2	height	height	NOUN
cana-1817	225	3	and	and	CCONJ
cana-1817	225	4	width	width	NOUN
cana-1817	225	5	of	of	ADP
cana-1817	225	6	feature	feature	NOUN
cana-1817	225	7	maps	map	NOUN
cana-1817	225	8	of	of	ADP
cana-1817	225	9	u	u	NOUN
cana-1817	225	10	blocks	block	NOUN
cana-1817	225	11	can	can	AUX
cana-1817	225	12	be	be	AUX
cana-1817	225	13	calculated	calculate	VERB
cana-1817	225	14	as	as	SCONJ
cana-1817	225	15	follows	follow	VERB
cana-1817	225	16	:	:	PUNCT
cana-1817	225	17	𝐻	𝐻	PROPN
cana-1817	225	18	=	=	SYM
cana-1817	225	19	ℎ𝑖𝑛𝑝𝑢𝑡	ℎ𝑖𝑛𝑝𝑢𝑡	PROPN
cana-1817	225	20	∗	∗	NOUN
cana-1817	225	21	2	2	NUM
cana-1817	225	22	,	,	PUNCT
cana-1817	225	23	𝑊	𝑊	PROPN
cana-1817	225	24	=	=	PUNCT
cana-1817	225	25	𝑤𝑖𝑛𝑝𝑢𝑡	𝑤𝑖𝑛𝑝𝑢𝑡	NOUN
cana-1817	225	26	∗	∗	X
cana-1817	225	27	2	2	NUM
cana-1817	225	28	(	(	PUNCT
cana-1817	225	29	21	21	NUM
cana-1817	225	30	)	)	PUNCT
cana-1817	225	31	fig	fig	NOUN
cana-1817	225	32	.	.	PUNCT
cana-1817	226	1	4	4	NUM
cana-1817	226	2	schematic	schematic	ADJ
cana-1817	226	3	representation	representation	NOUN
cana-1817	226	4	of	of	ADP
cana-1817	226	5	three	three	NUM
cana-1817	226	6	layer	layer	NOUN
cana-1817	226	7	dense	dense	ADJ
cana-1817	226	8	block	block	NOUN
cana-1817	226	9	it	it	PRON
cana-1817	226	10	is	be	AUX
cana-1817	226	11	worth	worth	ADJ
cana-1817	226	12	noting	note	VERB
cana-1817	226	13	here	here	ADV
cana-1817	226	14	that	that	SCONJ
cana-1817	226	15	,	,	PUNCT
cana-1817	226	16	x	x	X
cana-1817	226	17	-	-	NOUN
cana-1817	226	18	densenet	densenet	NOUN
cana-1817	226	19	exhibits	exhibit	VERB
cana-1817	226	20	similar	similar	ADJ
cana-1817	226	21	structural	structural	ADJ
cana-1817	226	22	framework	framework	NOUN
cana-1817	226	23	to	to	ADP
cana-1817	226	24	xnet	xnet	PROPN
cana-1817	227	1	[	[	X
cana-1817	227	2	36	36	NUM
cana-1817	227	3	]	]	PUNCT
cana-1817	227	4	,	,	PUNCT
cana-1817	227	5	albeit	albeit	SCONJ
cana-1817	227	6	with	with	ADP
cana-1817	227	7	notable	notable	ADJ
cana-1817	227	8	distinctions	distinction	NOUN
cana-1817	227	9	.	.	PUNCT
cana-1817	228	1	firstly	firstly	ADV
cana-1817	228	2	,	,	PUNCT
cana-1817	228	3	the	the	DET
cana-1817	228	4	dense	dense	ADJ
cana-1817	228	5	blocks	block	NOUN
cana-1817	228	6	are	be	AUX
cana-1817	228	7	the	the	DET
cana-1817	228	8	introduction	introduction	NOUN
cana-1817	228	9	in	in	ADP
cana-1817	228	10	our	our	PRON
cana-1817	228	11	proposed	propose	VERB
cana-1817	228	12	architecture	architecture	NOUN
cana-1817	228	13	unlike	unlike	ADP
cana-1817	228	14	x	x	ADJ
cana-1817	228	15	-	-	ADJ
cana-1817	228	16	net	net	ADJ
cana-1817	228	17	model	model	NOUN
cana-1817	228	18	.	.	PUNCT
cana-1817	229	1	further	further	ADJ
cana-1817	229	2	feature	feature	NOUN
cana-1817	229	3	map	map	NOUN
cana-1817	229	4	calculation	calculation	NOUN
cana-1817	229	5	is	be	AUX
cana-1817	229	6	as	as	SCONJ
cana-1817	229	7	given	give	VERB
cana-1817	229	8	in	in	ADP
cana-1817	229	9	encoder	encoder	NOUN
cana-1817	229	10	and	and	CCONJ
cana-1817	229	11	decoder	decoder	NOUN
cana-1817	229	12	stage	stage	NOUN
cana-1817	229	13	.	.	PUNCT
cana-1817	230	1	further	far	ADV
cana-1817	230	2	,	,	PUNCT
cana-1817	230	3	while	while	SCONJ
cana-1817	230	4	the	the	DET
cana-1817	230	5	x	x	ADJ
cana-1817	230	6	-	-	ADJ
cana-1817	230	7	net	net	ADJ
cana-1817	230	8	model	model	NOUN
cana-1817	230	9	has	have	AUX
cana-1817	230	10	demonstrated	demonstrate	VERB
cana-1817	230	11	effectiveness	effectiveness	NOUN
cana-1817	230	12	when	when	SCONJ
cana-1817	230	13	applied	apply	VERB
cana-1817	230	14	to	to	ADP
cana-1817	230	15	x	x	NOUN
cana-1817	230	16	-	-	NOUN
cana-1817	230	17	ray	ray	NOUN
cana-1817	230	18	images	image	NOUN
cana-1817	230	19	,	,	PUNCT
cana-1817	230	20	we	we	PRON
cana-1817	230	21	have	have	AUX
cana-1817	230	22	adapted	adapt	VERB
cana-1817	230	23	and	and	CCONJ
cana-1817	230	24	modified	modify	VERB
cana-1817	230	25	the	the	DET
cana-1817	230	26	model	model	NOUN
cana-1817	230	27	for	for	ADP
cana-1817	230	28	application	application	NOUN
cana-1817	230	29	on	on	ADP
cana-1817	230	30	abdominal	abdominal	ADJ
cana-1817	230	31	ct	ct	PROPN
cana-1817	230	32	scans	scan	NOUN
cana-1817	230	33	.	.	PUNCT
cana-1817	231	1	4	4	X
cana-1817	231	2	.	.	X
cana-1817	231	3	experiments	experiment	NOUN
cana-1817	231	4	and	and	CCONJ
cana-1817	231	5	results	result	VERB
cana-1817	231	6	4.1	4.1	NUM
cana-1817	231	7	dataset	dataset	NOUN
cana-1817	231	8	flare	flare	NOUN
cana-1817	231	9	22	22	NUM
cana-1817	231	10	dataset	dataset	NOUN
cana-1817	231	11	is	be	AUX
cana-1817	231	12	the	the	DET
cana-1817	231	13	challenge	challenge	NOUN
cana-1817	231	14	dataset	dataset	NOUN
cana-1817	231	15	which	which	PRON
cana-1817	231	16	is	be	AUX
cana-1817	231	17	available	available	ADJ
cana-1817	231	18	in	in	ADP
cana-1817	231	19	public	public	ADJ
cana-1817	231	20	domain	domain	NOUN
cana-1817	231	21	.	.	PUNCT
cana-1817	232	1	it	it	PRON
cana-1817	232	2	consists	consist	VERB
cana-1817	232	3	of	of	ADP
cana-1817	232	4	50	50	NUM
cana-1817	232	5	abdomen	abdomen	NOUN
cana-1817	232	6	ct	ct	NUM
cana-1817	232	7	scans	scan	NOUN
cana-1817	232	8	[	[	X
cana-1817	232	9	44	44	NUM
cana-1817	232	10	]	]	PUNCT
cana-1817	232	11	,	,	PUNCT
cana-1817	232	12	[	[	X
cana-1817	232	13	45	45	NUM
cana-1817	232	14	]	]	PUNCT
cana-1817	232	15	.	.	PUNCT
cana-1817	233	1	this	this	DET
cana-1817	233	2	dataset	dataset	NOUN
cana-1817	233	3	encompasses	encompass	VERB
cana-1817	233	4	13	13	NUM
cana-1817	233	5	distinct	distinct	ADJ
cana-1817	233	6	organs	organ	NOUN
cana-1817	233	7	,	,	PUNCT
cana-1817	233	8	namely	namely	ADV
cana-1817	233	9	:	:	PUNCT
cana-1817	233	10	liver	liver	NOUN
cana-1817	233	11	,	,	PUNCT
cana-1817	233	12	spleen	spleen	NOUN
cana-1817	233	13	,	,	PUNCT
cana-1817	233	14	pancreas	pancrea	NOUN
cana-1817	233	15	,	,	PUNCT
cana-1817	233	16	right	right	ADJ
cana-1817	233	17	kidney	kidney	NOUN
cana-1817	233	18	,	,	PUNCT
cana-1817	233	19	left	leave	VERB
cana-1817	233	20	kidney	kidney	NOUN
cana-1817	233	21	,	,	PUNCT
cana-1817	233	22	stomach	stomach	NOUN
cana-1817	233	23	,	,	PUNCT
cana-1817	233	24	gallbladder	gallbladder	NOUN
cana-1817	233	25	,	,	PUNCT
cana-1817	233	26	esophagus	esophagus	NOUN
cana-1817	233	27	,	,	PUNCT
cana-1817	233	28	aorta	aorta	NOUN
cana-1817	233	29	,	,	PUNCT
cana-1817	233	30	inferior	inferior	ADJ
cana-1817	233	31	vena	vena	NOUN
cana-1817	233	32	cava	cava	NOUN
cana-1817	233	33	,	,	PUNCT
cana-1817	233	34	right	right	ADJ
cana-1817	233	35	adrenal	adrenal	ADJ
cana-1817	233	36	gland	gland	NOUN
cana-1817	233	37	,	,	PUNCT
cana-1817	233	38	left	leave	VERB
cana-1817	233	39	adrenal	adrenal	ADJ
cana-1817	233	40	gland	gland	NOUN
cana-1817	233	41	,	,	PUNCT
cana-1817	233	42	and	and	CCONJ
cana-1817	233	43	duodenum	duodenum	NOUN
cana-1817	233	44	.	.	PUNCT
cana-1817	234	1	data	datum	NOUN
cana-1817	234	2	augmentation	augmentation	NOUN
cana-1817	234	3	is	be	AUX
cana-1817	234	4	employed	employ	VERB
cana-1817	234	5	in	in	ADP
cana-1817	234	6	order	order	NOUN
cana-1817	234	7	to	to	PART
cana-1817	234	8	extend	extend	VERB
cana-1817	234	9	the	the	DET
cana-1817	234	10	dataset	dataset	NOUN
cana-1817	234	11	.	.	PUNCT
cana-1817	235	1	the	the	DET
cana-1817	235	2	image	image	NOUN
cana-1817	235	3	data	data	NOUN
cana-1817	235	4	generator	generator	NOUN
cana-1817	235	5	function	function	NOUN
cana-1817	235	6	from	from	ADP
cana-1817	235	7	keras	keras	PROPN
cana-1817	235	8	facilitated	facilitate	VERB
cana-1817	235	9	rotations	rotation	NOUN
cana-1817	235	10	within	within	ADP
cana-1817	235	11	a	a	DET
cana-1817	235	12	range	range	NOUN
cana-1817	235	13	of	of	ADP
cana-1817	235	14	10	10	NUM
cana-1817	235	15	degrees	degree	NOUN
cana-1817	235	16	,	,	PUNCT
cana-1817	235	17	as	as	ADV
cana-1817	235	18	well	well	ADV
cana-1817	235	19	as	as	ADP
cana-1817	235	20	width	width	ADJ
cana-1817	235	21	and	and	CCONJ
cana-1817	235	22	height	height	NOUN
cana-1817	235	23	shifts	shift	NOUN
cana-1817	235	24	within	within	ADP
cana-1817	235	25	a	a	DET
cana-1817	235	26	range	range	NOUN
cana-1817	235	27	of	of	ADP
cana-1817	235	28	0.1	0.1	NUM
cana-1817	235	29	,	,	PUNCT
cana-1817	235	30	along	along	ADP
cana-1817	235	31	with	with	ADP
cana-1817	235	32	zooming	zoom	VERB
cana-1817	235	33	within	within	ADP
cana-1817	235	34	a	a	DET
cana-1817	235	35	range	range	NOUN
cana-1817	235	36	of	of	ADP
cana-1817	235	37	0.2	0.2	NUM
cana-1817	235	38	,	,	PUNCT
cana-1817	235	39	and	and	CCONJ
cana-1817	235	40	random	random	ADJ
cana-1817	235	41	horizontal	horizontal	ADJ
cana-1817	235	42	and	and	CCONJ
cana-1817	235	43	vertical	vertical	ADJ
cana-1817	235	44	flips	flip	NOUN
cana-1817	235	45	.	.	PUNCT
cana-1817	236	1	this	this	DET
cana-1817	236	2	augmented	augment	VERB
cana-1817	236	3	dataset	dataset	NOUN
cana-1817	236	4	is	be	AUX
cana-1817	236	5	expanded	expand	VERB
cana-1817	236	6	with	with	ADP
cana-1817	236	7	500	500	NUM
cana-1817	236	8	images	image	NOUN
cana-1817	236	9	,	,	PUNCT
cana-1817	236	10	subsequently	subsequently	ADV
cana-1817	236	11	partitioned	partition	VERB
cana-1817	236	12	into	into	ADP
cana-1817	236	13	training	training	NOUN
cana-1817	236	14	and	and	CCONJ
cana-1817	236	15	testing	testing	NOUN
cana-1817	236	16	sets	set	NOUN
cana-1817	236	17	using	use	VERB
cana-1817	236	18	a	a	DET
cana-1817	236	19	7:3	7:3	NUM
cana-1817	236	20	ratio	ratio	NOUN
cana-1817	236	21	through	through	ADP
cana-1817	236	22	a	a	DET
cana-1817	236	23	randomized	randomized	ADJ
cana-1817	236	24	split	split	NOUN
cana-1817	236	25	implemented	implement	VERB
cana-1817	236	26	with	with	ADP
cana-1817	236	27	the	the	DET
cana-1817	236	28	'	'	PUNCT
cana-1817	236	29	train_test_split	train_test_split	NOUN
cana-1817	236	30	'	'	PUNCT
cana-1817	236	31	function	function	NOUN
cana-1817	236	32	.	.	PUNCT
cana-1817	237	1	for	for	ADP
cana-1817	237	2	the	the	DET
cana-1817	237	3	purpose	purpose	NOUN
cana-1817	237	4	of	of	ADP
cana-1817	237	5	this	this	DET
cana-1817	237	6	research	research	NOUN
cana-1817	237	7	,	,	PUNCT
cana-1817	237	8	experiments	experiment	NOUN
cana-1817	237	9	were	be	AUX
cana-1817	237	10	conducted	conduct	VERB
cana-1817	237	11	specifically	specifically	ADV
cana-1817	237	12	focusing	focus	VERB
cana-1817	237	13	on	on	ADP
cana-1817	237	14	the	the	DET
cana-1817	237	15	liver	liver	NOUN
cana-1817	237	16	,	,	PUNCT
cana-1817	237	17	aorta	aorta	NOUN
cana-1817	237	18	,	,	PUNCT
cana-1817	237	19	and	and	CCONJ
cana-1817	237	20	spleen	spleen	NOUN
cana-1817	237	21	.	.	PUNCT
cana-1817	238	1	communications	communication	NOUN
cana-1817	238	2	on	on	ADP
cana-1817	238	3	applied	apply	VERB
cana-1817	238	4	nonlinear	nonlinear	ADJ
cana-1817	238	5	analysis	analysis	NOUN
cana-1817	238	6	issn	issn	NOUN
cana-1817	238	7	:	:	PUNCT
cana-1817	238	8	1074	1074	NUM
cana-1817	238	9	-	-	PUNCT
cana-1817	238	10	133x	133x	NUM
cana-1817	238	11	vol	vol	NOUN
cana-1817	238	12	32	32	NUM
cana-1817	238	13	no	no	NOUN
cana-1817	238	14	.	.	NOUN
cana-1817	238	15	2	2	NUM
cana-1817	238	16	(	(	PUNCT
cana-1817	238	17	2025	2025	NUM
cana-1817	238	18	)	)	PUNCT
cana-1817	238	19	571	571	NUM
cana-1817	238	20	4.2	4.2	NUM
cana-1817	238	21	experimental	experimental	ADJ
cana-1817	238	22	setup	setup	NOUN
cana-1817	238	23	and	and	CCONJ
cana-1817	238	24	model	model	NOUN
cana-1817	238	25	training	train	VERB
cana-1817	238	26	our	our	PRON
cana-1817	238	27	pmos	pmos	ADJ
cana-1817	238	28	technique	technique	NOUN
cana-1817	238	29	is	be	AUX
cana-1817	238	30	implemented	implement	VERB
cana-1817	238	31	with	with	ADP
cana-1817	238	32	11th	11th	ADJ
cana-1817	238	33	gen	gen	PROPN
cana-1817	238	34	intel	intel	PROPN
cana-1817	238	35	core	core	PROPN
cana-1817	238	36	i5	i5	PROPN
cana-1817	238	37	-	-	PUNCT
cana-1817	238	38	1135g7	1135g7	NOUN
cana-1817	238	39	,	,	PUNCT
cana-1817	238	40	8	8	NUM
cana-1817	238	41	gb	gb	NOUN
cana-1817	238	42	ram	ram	NOUN
cana-1817	238	43	,	,	PUNCT
cana-1817	238	44	python	python	NOUN
cana-1817	238	45	3.6	3.6	NUM
cana-1817	238	46	and	and	CCONJ
cana-1817	238	47	training	training	NOUN
cana-1817	238	48	is	be	AUX
cana-1817	238	49	implemented	implement	VERB
cana-1817	238	50	with	with	ADP
cana-1817	238	51	t4	t4	PROPN
cana-1817	238	52	gpu	gpu	PROPN
cana-1817	238	53	with	with	ADP
cana-1817	238	54	16	16	NUM
cana-1817	238	55	gb	gb	NOUN
cana-1817	238	56	ram	ram	NOUN
cana-1817	238	57	.	.	PUNCT
cana-1817	239	1	during	during	ADP
cana-1817	239	2	the	the	DET
cana-1817	239	3	training	training	NOUN
cana-1817	239	4	phase	phase	NOUN
cana-1817	239	5	,	,	PUNCT
cana-1817	239	6	categorical	categorical	ADJ
cana-1817	239	7	cross	cross	NOUN
cana-1817	239	8	-	-	NOUN
cana-1817	239	9	entropy	entropy	NOUN
cana-1817	239	10	is	be	AUX
cana-1817	239	11	employed	employ	VERB
cana-1817	239	12	as	as	ADP
cana-1817	239	13	the	the	DET
cana-1817	239	14	loss	loss	NOUN
cana-1817	239	15	function	function	NOUN
cana-1817	239	16	,	,	PUNCT
cana-1817	239	17	suitable	suitable	ADJ
cana-1817	239	18	for	for	ADP
cana-1817	239	19	multi	multi	ADJ
cana-1817	239	20	-	-	ADJ
cana-1817	239	21	class	class	ADJ
cana-1817	239	22	segmentation	segmentation	NOUN
cana-1817	239	23	tasks	task	NOUN
cana-1817	239	24	.	.	PUNCT
cana-1817	240	1	the	the	DET
cana-1817	240	2	adam	adam	PROPN
cana-1817	240	3	optimizer	optimizer	NOUN
cana-1817	240	4	,	,	PUNCT
cana-1817	240	5	combined	combine	VERB
cana-1817	240	6	with	with	ADP
cana-1817	240	7	a	a	DET
cana-1817	240	8	dynamic	dynamic	ADJ
cana-1817	240	9	learning	learning	NOUN
cana-1817	240	10	rate	rate	NOUN
cana-1817	240	11	schedule	schedule	NOUN
cana-1817	240	12	,	,	PUNCT
cana-1817	240	13	ensures	ensure	VERB
cana-1817	240	14	efficient	efficient	ADJ
cana-1817	240	15	convergence	convergence	NOUN
cana-1817	240	16	during	during	ADP
cana-1817	240	17	the	the	DET
cana-1817	240	18	training	training	NOUN
cana-1817	240	19	process	process	NOUN
cana-1817	240	20	.	.	PUNCT
cana-1817	241	1	training	training	NOUN
cana-1817	241	2	loss	loss	NOUN
cana-1817	241	3	and	and	CCONJ
cana-1817	241	4	accuracy	accuracy	NOUN
cana-1817	241	5	per	per	ADP
cana-1817	241	6	epoch	epoch	NOUN
cana-1817	241	7	is	be	AUX
cana-1817	241	8	as	as	SCONJ
cana-1817	241	9	shown	show	VERB
cana-1817	241	10	in	in	ADP
cana-1817	241	11	fig	fig	NOUN
cana-1817	241	12	5	5	NUM
cana-1817	241	13	.	.	PUNCT
cana-1817	242	1	data	datum	NOUN
cana-1817	242	2	augmentation	augmentation	NOUN
cana-1817	242	3	methods	method	NOUN
cana-1817	242	4	rotation	rotation	NOUN
cana-1817	242	5	,	,	PUNCT
cana-1817	242	6	width	width	ADJ
cana-1817	242	7	shift	shift	NOUN
cana-1817	242	8	,	,	PUNCT
cana-1817	242	9	height	height	NOUN
cana-1817	242	10	shift	shift	NOUN
cana-1817	242	11	,	,	PUNCT
cana-1817	242	12	zoom	zoom	SYM
cana-1817	242	13	,	,	PUNCT
cana-1817	242	14	horizontal	horizontal	ADJ
cana-1817	242	15	flip	flip	NOUN
cana-1817	242	16	and	and	CCONJ
cana-1817	242	17	vertical	vertical	ADJ
cana-1817	242	18	flip	flip	PROPN
cana-1817	242	19	initialization	initialization	NOUN
cana-1817	242	20	of	of	ADP
cana-1817	242	21	the	the	DET
cana-1817	242	22	network	network	NOUN
cana-1817	242	23	glorot	glorot	PROPN
cana-1817	242	24	uniform	uniform	PROPN
cana-1817	242	25	intializer	intializer	PROPN
cana-1817	242	26	/xavier	/xavier	SYM
cana-1817	242	27	initialization	initialization	NOUN
cana-1817	242	28	batch	batch	NOUN
cana-1817	242	29	size	size	NOUN
cana-1817	242	30	16	16	NUM
cana-1817	242	31	patch	patch	NOUN
cana-1817	242	32	size	size	NOUN
cana-1817	242	33	64	64	NUM
cana-1817	242	34	x	x	SYM
cana-1817	242	35	64	64	NUM
cana-1817	242	36	x	x	SYM
cana-1817	242	37	3	3	NUM
cana-1817	242	38	total	total	NOUN
cana-1817	242	39	epochs	epoch	NOUN
cana-1817	242	40	200	200	NUM
cana-1817	242	41	kernel	kernel	NOUN
cana-1817	242	42	size	size	NOUN
cana-1817	242	43	3	3	NUM
cana-1817	242	44	x	x	SYM
cana-1817	242	45	3	3	NUM
cana-1817	242	46	optimizer	optimizer	NOUN
cana-1817	242	47	adam	adam	PROPN
cana-1817	242	48	initial	initial	ADJ
cana-1817	242	49	learning	learning	NOUN
cana-1817	242	50	rate	rate	NOUN
cana-1817	242	51	0.001	0.001	NUM
cana-1817	242	52	stopping	stopping	NOUN
cana-1817	242	53	criteria	criterion	NOUN
cana-1817	242	54	,	,	PUNCT
cana-1817	242	55	and	and	CCONJ
cana-1817	242	56	optimal	optimal	ADJ
cana-1817	242	57	model	model	NOUN
cana-1817	242	58	selection	selection	NOUN
cana-1817	242	59	criteria	criterion	NOUN
cana-1817	242	60	when	when	SCONJ
cana-1817	242	61	reached	reached	AUX
cana-1817	242	62	defined	define	VERB
cana-1817	242	63	no	no	PRON
cana-1817	242	64	of	of	ADP
cana-1817	242	65	epochs	epoch	NOUN
cana-1817	242	66	(	(	PUNCT
cana-1817	242	67	200	200	NUM
cana-1817	242	68	)	)	PUNCT
cana-1817	242	69	training	training	NOUN
cana-1817	242	70	loss	loss	NOUN
cana-1817	242	71	categorical	categorical	ADJ
cana-1817	242	72	cross	cross	ADJ
cana-1817	242	73	-	-	ADJ
cana-1817	242	74	entropy	entropy	ADJ
cana-1817	242	75	training	training	NOUN
cana-1817	242	76	time	time	NOUN
cana-1817	242	77	1	1	NUM
cana-1817	242	78	-	-	SYM
cana-1817	242	79	2	2	NUM
cana-1817	242	80	min	min	NOUN
cana-1817	242	81	/	/	SYM
cana-1817	242	82	epoch	epoch	NOUN
cana-1817	242	83	table	table	NOUN
cana-1817	242	84	1	1	NUM
cana-1817	242	85	training	training	NOUN
cana-1817	242	86	protocols	protocol	NOUN
cana-1817	242	87	fig	fig	NOUN
cana-1817	242	88	.	.	PUNCT
cana-1817	243	1	5	5	NUM
cana-1817	243	2	model	model	NOUN
cana-1817	243	3	training	training	NOUN
cana-1817	243	4	history	history	NOUN
cana-1817	243	5	representing	represent	VERB
cana-1817	243	6	change	change	NOUN
cana-1817	243	7	in	in	ADP
cana-1817	243	8	accuracy	accuracy	NOUN
cana-1817	243	9	and	and	CCONJ
cana-1817	243	10	loss	loss	NOUN
cana-1817	243	11	with	with	ADP
cana-1817	243	12	respect	respect	NOUN
cana-1817	243	13	to	to	ADP
cana-1817	243	14	epochs	epoch	NOUN
cana-1817	243	15	communications	communication	NOUN
cana-1817	243	16	on	on	ADP
cana-1817	243	17	applied	apply	VERB
cana-1817	243	18	nonlinear	nonlinear	ADJ
cana-1817	243	19	analysis	analysis	NOUN
cana-1817	243	20	issn	issn	NOUN
cana-1817	243	21	:	:	PUNCT
cana-1817	243	22	1074	1074	NUM
cana-1817	243	23	-	-	PUNCT
cana-1817	243	24	133x	133x	NUM
cana-1817	243	25	vol	vol	NOUN
cana-1817	243	26	32	32	NUM
cana-1817	243	27	no	no	NOUN
cana-1817	243	28	.	.	NOUN
cana-1817	243	29	2	2	NUM
cana-1817	243	30	(	(	PUNCT
cana-1817	243	31	2025	2025	NUM
cana-1817	243	32	)	)	PUNCT
cana-1817	243	33	572	572	NUM
cana-1817	243	34	4.3	4.3	NUM
cana-1817	243	35	evaluation	evaluation	NOUN
cana-1817	243	36	metrics	metric	NOUN
cana-1817	243	37	in	in	ADP
cana-1817	243	38	this	this	DET
cana-1817	243	39	research	research	NOUN
cana-1817	243	40	study	study	NOUN
cana-1817	243	41	,	,	PUNCT
cana-1817	243	42	we	we	PRON
cana-1817	243	43	have	have	AUX
cana-1817	243	44	used	use	VERB
cana-1817	243	45	various	various	ADJ
cana-1817	243	46	evaluation	evaluation	NOUN
cana-1817	243	47	metrics	metric	NOUN
cana-1817	243	48	named	name	VERB
cana-1817	243	49	dice	dice	NOUN
cana-1817	243	50	coefficient	coefficient	NOUN
cana-1817	243	51	(	(	PUNCT
cana-1817	243	52	dsc	dsc	NOUN
cana-1817	243	53	)	)	PUNCT
cana-1817	243	54	,	,	PUNCT
cana-1817	243	55	accuracy	accuracy	NOUN
cana-1817	243	56	(	(	PUNCT
cana-1817	243	57	acc	acc	PROPN
cana-1817	243	58	)	)	PUNCT
cana-1817	243	59	,	,	PUNCT
cana-1817	243	60	precision	precision	NOUN
cana-1817	243	61	(	(	PUNCT
cana-1817	243	62	pr	pr	NOUN
cana-1817	243	63	)	)	PUNCT
cana-1817	243	64	,	,	PUNCT
cana-1817	243	65	recall	recall	NOUN
cana-1817	243	66	(	(	PUNCT
cana-1817	243	67	rec	rec	NOUN
cana-1817	243	68	)	)	PUNCT
cana-1817	243	69	and	and	CCONJ
cana-1817	243	70	f	f	X
cana-1817	243	71	-	-	PUNCT
cana-1817	243	72	score	score	NOUN
cana-1817	243	73	(	(	PUNCT
cana-1817	243	74	fs	f	NOUN
cana-1817	243	75	)	)	PUNCT
cana-1817	243	76	in	in	ADP
cana-1817	243	77	order	order	NOUN
cana-1817	243	78	to	to	PART
cana-1817	243	79	confirm	confirm	VERB
cana-1817	243	80	the	the	DET
cana-1817	243	81	segmentation	segmentation	NOUN
cana-1817	243	82	results	result	NOUN
cana-1817	243	83	achieved	achieve	VERB
cana-1817	243	84	by	by	ADP
cana-1817	243	85	our	our	PRON
cana-1817	243	86	proposed	propose	VERB
cana-1817	243	87	method	method	NOUN
cana-1817	243	88	.	.	PUNCT
cana-1817	244	1	the	the	DET
cana-1817	244	2	equations	equation	NOUN
cana-1817	244	3	of	of	ADP
cana-1817	244	4	the	the	DET
cana-1817	244	5	aforementioned	aforementioned	ADJ
cana-1817	244	6	parameters	parameter	NOUN
cana-1817	244	7	are	be	AUX
cana-1817	244	8	as	as	SCONJ
cana-1817	244	9	given	give	VERB
cana-1817	244	10	below	below	ADV
cana-1817	244	11	:	:	PUNCT
cana-1817	244	12	𝑨𝒄𝒄	𝑨𝒄𝒄	PROPN
cana-1817	244	13	=	=	PUNCT
cana-1817	244	14	𝑻𝑷+𝑻𝑵	𝑻𝑷+𝑻𝑵	PRON
cana-1817	244	15	𝑻𝑷+𝑻𝑵+𝑭𝑷+𝑭𝑵	𝑻𝑷+𝑻𝑵+𝑭𝑷+𝑭𝑵	NOUN
cana-1817	244	16	(	(	PUNCT
cana-1817	244	17	22	22	NUM
cana-1817	244	18	)	)	PUNCT
cana-1817	244	19	𝑷𝒓	𝑷𝒓	PROPN
cana-1817	244	20	=	=	SYM
cana-1817	244	21	𝑻𝑷	𝑻𝑷	PROPN
cana-1817	244	22	𝑻𝑷+𝑭𝑷	𝑻𝑷+𝑭𝑷	NOUN
cana-1817	244	23	range	range	NOUN
cana-1817	244	24	:	:	PUNCT
cana-1817	245	1	[	[	X
cana-1817	245	2	0	0	NUM
cana-1817	245	3	,	,	PUNCT
cana-1817	245	4	1	1	NUM
cana-1817	245	5	]	]	PUNCT
cana-1817	245	6	(	(	PUNCT
cana-1817	245	7	23	23	NUM
cana-1817	245	8	)	)	PUNCT
cana-1817	245	9	𝑹𝒄	𝑹𝒄	PROPN
cana-1817	245	10	=	=	SYM
cana-1817	245	11	𝑻𝑷	𝑻𝑷	PROPN
cana-1817	245	12	𝑻𝑷+𝑭𝑵	𝑻𝑷+𝑭𝑵	NOUN
cana-1817	245	13	range	range	NOUN
cana-1817	245	14	:	:	PUNCT
cana-1817	246	1	[	[	X
cana-1817	246	2	0	0	NUM
cana-1817	246	3	,	,	PUNCT
cana-1817	246	4	1	1	NUM
cana-1817	246	5	]	]	PUNCT
cana-1817	246	6	(	(	PUNCT
cana-1817	246	7	24	24	NUM
cana-1817	246	8	)	)	PUNCT
cana-1817	246	9	𝑭𝑺	𝑭𝑺	PROPN
cana-1817	246	10	=	=	SYM
cana-1817	246	11	𝟐	𝟐	NUM
cana-1817	246	12	×	×	NOUN
cana-1817	246	13	𝑷𝒓𝒆𝒄𝒊𝒔𝒊𝒐𝒏∗𝑹𝒆𝒄𝒂𝒍𝒍	𝑷𝒓𝒆𝒄𝒊𝒔𝒊𝒐𝒏∗𝑹𝒆𝒄𝒂𝒍𝒍	NOUN
cana-1817	247	1	𝑷𝒓𝒆𝒄𝒊𝒔𝒊𝒐𝒏+𝑹𝒆𝒄𝒂𝒍𝒍	𝑷𝒓𝒆𝒄𝒊𝒔𝒊𝒐𝒏+𝑹𝒆𝒄𝒂𝒍𝒍	NUM
cana-1817	247	2	range	range	NOUN
cana-1817	247	3	:	:	PUNCT
cana-1817	248	1	[	[	X
cana-1817	248	2	0	0	NUM
cana-1817	248	3	,	,	PUNCT
cana-1817	248	4	1	1	NUM
cana-1817	248	5	]	]	PUNCT
cana-1817	248	6	(	(	PUNCT
cana-1817	248	7	25	25	NUM
cana-1817	248	8	)	)	PUNCT
cana-1817	248	9	𝑫𝑺𝑪	𝑫𝑺𝑪	PROPN
cana-1817	248	10	=	=	SYM
cana-1817	248	11	𝟐×𝑰𝒏𝒕𝒆𝒓𝒔𝒆𝒄𝒕𝒊𝒐𝒏	𝟐×𝑰𝒏𝒕𝒆𝒓𝒔𝒆𝒄𝒕𝒊𝒐𝒏	NOUN
cana-1817	248	12	𝑼𝒏𝒊𝒐𝒏+𝑰𝒏𝒕𝒆𝒓𝒔𝒆𝒄𝒕𝒊𝒐𝒏	𝑼𝒏𝒊𝒐𝒏+𝑰𝒏𝒕𝒆𝒓𝒔𝒆𝒄𝒕𝒊𝒐𝒏	NUM
cana-1817	248	13	range	range	NOUN
cana-1817	248	14	:	:	PUNCT
cana-1817	249	1	[	[	X
cana-1817	249	2	0	0	NUM
cana-1817	249	3	,	,	PUNCT
cana-1817	249	4	1	1	NUM
cana-1817	249	5	]	]	PUNCT
cana-1817	249	6	(	(	PUNCT
cana-1817	249	7	26	26	NUM
cana-1817	249	8	)	)	PUNCT
cana-1817	249	9	4.4	4.4	NUM
cana-1817	249	10	comparison	comparison	NOUN
cana-1817	249	11	with	with	ADP
cana-1817	249	12	state	state	NOUN
cana-1817	249	13	-	-	PUNCT
cana-1817	249	14	of	of	ADP
cana-1817	249	15	-	-	PUNCT
cana-1817	249	16	the	the	DET
cana-1817	249	17	-	-	PUNCT
cana-1817	249	18	art	art	NOUN
cana-1817	249	19	methods	method	NOUN
cana-1817	249	20	in	in	ADP
cana-1817	249	21	the	the	DET
cana-1817	249	22	literature	literature	NOUN
cana-1817	249	23	,	,	PUNCT
cana-1817	249	24	a	a	DET
cana-1817	249	25	variation	variation	NOUN
cana-1817	249	26	of	of	ADP
cana-1817	249	27	nnunet	nnunet	NOUN
cana-1817	249	28	known	know	VERB
cana-1817	249	29	as	as	ADP
cana-1817	249	30	residual	residual	ADJ
cana-1817	249	31	u	u	NOUN
cana-1817	249	32	-	-	NOUN
cana-1817	249	33	net	net	NOUN
cana-1817	249	34	has	have	AUX
cana-1817	249	35	exhibited	exhibit	VERB
cana-1817	249	36	superior	superior	ADJ
cana-1817	249	37	performance	performance	NOUN
cana-1817	249	38	in	in	ADP
cana-1817	249	39	literature	literature	NOUN
cana-1817	249	40	.	.	PUNCT
cana-1817	250	1	the	the	DET
cana-1817	250	2	incorporation	incorporation	NOUN
cana-1817	250	3	of	of	ADP
cana-1817	250	4	residual	residual	ADJ
cana-1817	250	5	connections	connection	NOUN
cana-1817	250	6	in	in	ADP
cana-1817	250	7	nnunet	nnunet	NOUN
cana-1817	250	8	synergizes	synergize	VERB
cana-1817	250	9	the	the	DET
cana-1817	250	10	architectural	architectural	ADJ
cana-1817	250	11	strengths	strength	NOUN
cana-1817	250	12	of	of	ADP
cana-1817	250	13	nnu	nnu	PROPN
cana-1817	250	14	-	-	NOUN
cana-1817	250	15	net	net	NOUN
cana-1817	250	16	,	,	PUNCT
cana-1817	250	17	particularly	particularly	ADV
cana-1817	250	18	its	its	PRON
cana-1817	250	19	context	context	NOUN
cana-1817	250	20	-	-	PUNCT
cana-1817	250	21	preserving	preserve	VERB
cana-1817	250	22	skip	skip	ADJ
cana-1817	250	23	connections	connection	NOUN
cana-1817	250	24	,	,	PUNCT
cana-1817	250	25	with	with	ADP
cana-1817	250	26	the	the	DET
cana-1817	250	27	benefits	benefit	NOUN
cana-1817	250	28	of	of	ADP
cana-1817	250	29	residual	residual	ADJ
cana-1817	250	30	connections	connection	NOUN
cana-1817	250	31	,	,	PUNCT
cana-1817	250	32	leading	lead	VERB
cana-1817	250	33	to	to	ADP
cana-1817	250	34	enhanced	enhanced	ADJ
cana-1817	250	35	accuracy	accuracy	NOUN
cana-1817	250	36	and	and	CCONJ
cana-1817	250	37	effectiveness	effectiveness	NOUN
cana-1817	250	38	in	in	ADP
cana-1817	250	39	segmentation	segmentation	NOUN
cana-1817	250	40	tasks	task	NOUN
cana-1817	250	41	[	[	X
cana-1817	250	42	34	34	NUM
cana-1817	250	43	]	]	PUNCT
cana-1817	250	44	.	.	PUNCT
cana-1817	251	1	a	a	DET
cana-1817	251	2	study	study	NOUN
cana-1817	251	3	[	[	X
cana-1817	251	4	46	46	NUM
cana-1817	251	5	]	]	PUNCT
cana-1817	251	6	is	be	AUX
cana-1817	251	7	proposed	propose	VERB
cana-1817	251	8	to	to	PART
cana-1817	251	9	deal	deal	VERB
cana-1817	251	10	with	with	ADP
cana-1817	251	11	unlabeled	unlabeled	ADJ
cana-1817	251	12	data	datum	NOUN
cana-1817	251	13	and	and	CCONJ
cana-1817	251	14	enhance	enhance	VERB
cana-1817	251	15	the	the	DET
cana-1817	251	16	model	model	NOUN
cana-1817	251	17	's	's	PART
cana-1817	251	18	generalization	generalization	NOUN
cana-1817	251	19	capabilities	capability	NOUN
cana-1817	251	20	.	.	PUNCT
cana-1817	252	1	the	the	DET
cana-1817	252	2	methodology	methodology	NOUN
cana-1817	252	3	involves	involve	VERB
cana-1817	252	4	generating	generate	VERB
cana-1817	252	5	pseudo	pseudo	NOUN
cana-1817	252	6	labels	label	NOUN
cana-1817	252	7	through	through	ADP
cana-1817	252	8	the	the	DET
cana-1817	252	9	utilization	utilization	NOUN
cana-1817	252	10	of	of	ADP
cana-1817	252	11	the	the	DET
cana-1817	252	12	swin	swin	PROPN
cana-1817	252	13	transformer	transformer	PROPN
cana-1817	252	14	.	.	PUNCT
cana-1817	253	1	subsequently	subsequently	ADV
cana-1817	253	2	,	,	PUNCT
cana-1817	253	3	these	these	DET
cana-1817	253	4	pseudo	pseudo	NOUN
cana-1817	253	5	labels	label	NOUN
cana-1817	253	6	are	be	AUX
cana-1817	253	7	amalgamated	amalgamate	VERB
cana-1817	253	8	with	with	ADP
cana-1817	253	9	labeled	label	VERB
cana-1817	253	10	data	datum	NOUN
cana-1817	253	11	and	and	CCONJ
cana-1817	253	12	input	input	NOUN
cana-1817	253	13	into	into	ADP
cana-1817	253	14	the	the	DET
cana-1817	253	15	phtrans	phtran	NOUN
cana-1817	253	16	framework	framework	NOUN
cana-1817	253	17	for	for	ADP
cana-1817	253	18	further	further	ADJ
cana-1817	253	19	processing	processing	NOUN
cana-1817	253	20	.	.	PUNCT
cana-1817	254	1	a	a	DET
cana-1817	254	2	study	study	NOUN
cana-1817	254	3	introduced	introduce	VERB
cana-1817	254	4	a	a	DET
cana-1817	254	5	novel	novel	ADJ
cana-1817	254	6	methodology	methodology	NOUN
cana-1817	254	7	termed	term	VERB
cana-1817	254	8	3d	3d	NUM
cana-1817	254	9	cross	cross	ADJ
cana-1817	254	10	-	-	ADJ
cana-1817	254	11	pseudo	pseudo	ADJ
cana-1817	254	12	supervision	supervision	NOUN
cana-1817	254	13	(	(	PUNCT
cana-1817	254	14	3d	3d	NOUN
cana-1817	254	15	-	-	PUNCT
cana-1817	254	16	cps	cp	NOUN
cana-1817	254	17	)	)	PUNCT
cana-1817	254	18	,	,	PUNCT
cana-1817	254	19	which	which	PRON
cana-1817	254	20	constitutes	constitute	VERB
cana-1817	254	21	a	a	DET
cana-1817	254	22	semi	semi	ADJ
cana-1817	254	23	-	-	ADJ
cana-1817	254	24	supervised	supervised	ADJ
cana-1817	254	25	network	network	NOUN
cana-1817	254	26	built	build	VERB
cana-1817	254	27	upon	upon	SCONJ
cana-1817	254	28	nnunet	nnunet	NOUN
cana-1817	254	29	,	,	PUNCT
cana-1817	254	30	incorporating	incorporate	VERB
cana-1817	254	31	the	the	DET
cana-1817	254	32	cross	cross	ADJ
cana-1817	254	33	-	-	ADJ
cana-1817	254	34	pseudo	pseudo	ADJ
cana-1817	254	35	supervision	supervision	NOUN
cana-1817	254	36	technique	technique	NOUN
cana-1817	254	37	.	.	PUNCT
cana-1817	255	1	additionally	additionally	ADV
cana-1817	255	2	,	,	PUNCT
cana-1817	255	3	a	a	DET
cana-1817	255	4	dynamic	dynamic	ADJ
cana-1817	255	5	adjustment	adjustment	NOUN
cana-1817	255	6	of	of	ADP
cana-1817	255	7	semi	semi	ADJ
cana-1817	255	8	-	-	ADJ
cana-1817	255	9	supervised	supervised	ADJ
cana-1817	255	10	loss	loss	NOUN
cana-1817	255	11	weights	weight	NOUN
cana-1817	255	12	throughout	throughout	ADP
cana-1817	255	13	epochs	epoch	NOUN
cana-1817	255	14	,	,	PUNCT
cana-1817	255	15	aiming	aim	VERB
cana-1817	255	16	to	to	PART
cana-1817	255	17	promote	promote	VERB
cana-1817	255	18	linearity	linearity	NOUN
cana-1817	255	19	expansion	expansion	NOUN
cana-1817	255	20	[	[	X
cana-1817	255	21	47	47	NUM
cana-1817	255	22	]	]	PUNCT
cana-1817	255	23	.	.	PUNCT
cana-1817	256	1	a	a	DET
cana-1817	256	2	coarse	coarse	NOUN
cana-1817	256	3	-	-	PUNCT
cana-1817	256	4	to	to	ADP
cana-1817	256	5	-	-	PUNCT
cana-1817	256	6	fine	fine	ADJ
cana-1817	256	7	framework	framework	NOUN
cana-1817	256	8	is	be	AUX
cana-1817	256	9	employed	employ	VERB
cana-1817	256	10	to	to	PART
cana-1817	256	11	refine	refine	VERB
cana-1817	256	12	segmentation	segmentation	NOUN
cana-1817	256	13	results	result	NOUN
cana-1817	256	14	in	in	ADP
cana-1817	256	15	two	two	NUM
cana-1817	256	16	sequential	sequential	ADJ
cana-1817	256	17	stages	stage	NOUN
cana-1817	256	18	within	within	ADP
cana-1817	256	19	a	a	DET
cana-1817	256	20	variation	variation	NOUN
cana-1817	256	21	of	of	ADP
cana-1817	256	22	nnunet	nnunet	NOUN
cana-1817	256	23	and	and	CCONJ
cana-1817	256	24	use	use	NOUN
cana-1817	256	25	-	-	PUNCT
cana-1817	256	26	net	net	NOUN
cana-1817	256	27	,	,	PUNCT
cana-1817	256	28	termed	term	VERB
cana-1817	256	29	residual	residual	ADJ
cana-1817	256	30	-	-	PUNCT
cana-1817	256	31	use	use	NOUN
cana-1817	256	32	-	-	PUNCT
cana-1817	256	33	net	net	NOUN
cana-1817	257	1	[	[	X
cana-1817	257	2	43	43	NUM
cana-1817	257	3	]	]	PUNCT
cana-1817	257	4	.	.	PUNCT
cana-1817	258	1	this	this	DET
cana-1817	258	2	innovative	innovative	ADJ
cana-1817	258	3	approach	approach	NOUN
cana-1817	258	4	involves	involve	VERB
cana-1817	258	5	the	the	DET
cana-1817	258	6	integration	integration	NOUN
cana-1817	258	7	of	of	ADP
cana-1817	258	8	two	two	NUM
cana-1817	258	9	teacher	teacher	NOUN
cana-1817	258	10	models	model	NOUN
cana-1817	258	11	and	and	CCONJ
cana-1817	258	12	a	a	DET
cana-1817	258	13	student	student	NOUN
cana-1817	258	14	model	model	NOUN
cana-1817	258	15	to	to	PART
cana-1817	258	16	enhance	enhance	VERB
cana-1817	258	17	the	the	DET
cana-1817	258	18	segmentation	segmentation	NOUN
cana-1817	258	19	process	process	NOUN
cana-1817	258	20	[	[	X
cana-1817	258	21	48	48	NUM
cana-1817	258	22	]	]	PUNCT
cana-1817	258	23	.	.	PUNCT
cana-1817	259	1	the	the	DET
cana-1817	259	2	residual	residual	ADJ
cana-1817	259	3	squeeze	squeeze	NOUN
cana-1817	259	4	-	-	PUNCT
cana-1817	259	5	and	and	CCONJ
cana-1817	259	6	-	-	PUNCT
cana-1817	259	7	excitation	excitation	NOUN
cana-1817	259	8	(	(	PUNCT
cana-1817	259	9	se	se	X
cana-1817	259	10	)	)	PUNCT
cana-1817	259	11	blocks	block	NOUN
cana-1817	259	12	are	be	AUX
cana-1817	259	13	integrated	integrate	VERB
cana-1817	259	14	to	to	PART
cana-1817	259	15	enhance	enhance	VERB
cana-1817	259	16	the	the	DET
cana-1817	259	17	overall	overall	ADJ
cana-1817	259	18	performance	performance	NOUN
cana-1817	259	19	and	and	CCONJ
cana-1817	259	20	efficiency	efficiency	NOUN
cana-1817	259	21	of	of	ADP
cana-1817	259	22	the	the	DET
cana-1817	259	23	architecture	architecture	NOUN
cana-1817	259	24	.	.	PUNCT
cana-1817	260	1	all	all	DET
cana-1817	260	2	these	these	DET
cana-1817	260	3	studies	study	NOUN
cana-1817	260	4	have	have	AUX
cana-1817	260	5	used	use	VERB
cana-1817	260	6	flare	flare	NOUN
cana-1817	260	7	22	22	NUM
cana-1817	260	8	challenge	challenge	NOUN
cana-1817	260	9	dataset	dataset	NOUN
cana-1817	260	10	.	.	PUNCT
cana-1817	261	1	reference	reference	NOUN
cana-1817	261	2	network	network	NOUN
cana-1817	261	3	architecture	architecture	NOUN
cana-1817	261	4	liver	liver	NOUN
cana-1817	261	5	aorta	aorta	NOUN
cana-1817	261	6	spleen	spleen	NOUN
cana-1817	262	1	[	[	X
cana-1817	262	2	34	34	NUM
cana-1817	262	3	]	]	PUNCT
cana-1817	262	4	residual	residual	ADJ
cana-1817	262	5	u	u	NOUN
cana-1817	262	6	-	-	NOUN
cana-1817	262	7	net	net	ADJ
cana-1817	262	8	0.9753	0.9753	NUM
cana-1817	262	9	0.9566	0.9566	NUM
cana-1817	262	10	0.9701	0.9701	NUM
cana-1817	262	11	[	[	X
cana-1817	262	12	46	46	NUM
cana-1817	262	13	]	]	X
cana-1817	262	14	self	self	NOUN
cana-1817	262	15	-	-	PUNCT
cana-1817	262	16	training	training	NOUN
cana-1817	262	17	and	and	CCONJ
cana-1817	262	18	hybrid	hybrid	ADJ
cana-1817	262	19	architecture	architecture	NOUN
cana-1817	262	20	0.9761	0.9761	NUM
cana-1817	262	21	0.9863	0.9863	NUM
cana-1817	262	22	0.9572	0.9572	NUM
cana-1817	263	1	[	[	X
cana-1817	263	2	47	47	NUM
cana-1817	263	3	]	]	PUNCT
cana-1817	263	4	3d	3d	NUM
cana-1817	263	5	-	-	PUNCT
cana-1817	263	6	cps	cps	PROPN
cana-1817	263	7	0.9733	0.9733	NUM
cana-1817	263	8	0.9630	0.9630	NUM
cana-1817	263	9	0.9202	0.9202	NUM
cana-1817	264	1	[	[	X
cana-1817	264	2	48	48	NUM
cana-1817	264	3	]	]	PUNCT
cana-1817	264	4	cross	cross	NOUN
cana-1817	264	5	teaching	teach	VERB
cana-1817	264	6	teachers	teacher	NOUN
cana-1817	264	7	0.9763±0.0154	0.9763±0.0154	NOUN
cana-1817	264	8	0.9375±0.0469	0.9375±0.0469	X
cana-1817	264	9	0.9471±0.1386	0.9471±0.1386	PROPN
cana-1817	264	10	proposed	propose	VERB
cana-1817	264	11	approach	approach	NOUN
cana-1817	264	12	0.904670	0.904670	NUM
cana-1817	264	13	0.993811	0.993811	NUM
cana-1817	264	14	0.983357	0.983357	NUM
cana-1817	264	15	table	table	NOUN
cana-1817	264	16	2	2	NUM
cana-1817	264	17	dice	dice	NOUN
cana-1817	264	18	score	score	NOUN
cana-1817	264	19	comparison	comparison	NOUN
cana-1817	264	20	of	of	ADP
cana-1817	264	21	competing	compete	VERB
cana-1817	264	22	methods	method	NOUN
cana-1817	264	23	with	with	ADP
cana-1817	264	24	our	our	PRON
cana-1817	264	25	proposed	propose	VERB
cana-1817	264	26	approach	approach	NOUN
cana-1817	264	27	.	.	PUNCT
cana-1817	265	1	dice	dice	NOUN
cana-1817	265	2	score	score	NOUN
cana-1817	265	3	of	of	ADP
cana-1817	265	4	spleen	spleen	NOUN
cana-1817	265	5	and	and	CCONJ
cana-1817	265	6	aorta	aorta	NOUN
cana-1817	265	7	is	be	AUX
cana-1817	265	8	higher	high	ADJ
cana-1817	265	9	for	for	ADP
cana-1817	265	10	our	our	PRON
cana-1817	265	11	approach	approach	NOUN
cana-1817	265	12	than	than	ADP
cana-1817	265	13	competing	compete	VERB
cana-1817	265	14	methods	method	NOUN
cana-1817	265	15	.	.	PUNCT
cana-1817	266	1	communications	communication	NOUN
cana-1817	266	2	on	on	ADP
cana-1817	266	3	applied	apply	VERB
cana-1817	266	4	nonlinear	nonlinear	ADJ
cana-1817	266	5	analysis	analysis	NOUN
cana-1817	266	6	issn	issn	NOUN
cana-1817	266	7	:	:	PUNCT
cana-1817	266	8	1074	1074	NUM
cana-1817	266	9	-	-	PUNCT
cana-1817	266	10	133x	133x	NUM
cana-1817	266	11	vol	vol	NOUN
cana-1817	266	12	32	32	NUM
cana-1817	266	13	no	no	NOUN
cana-1817	266	14	.	.	NOUN
cana-1817	266	15	2	2	NUM
cana-1817	266	16	(	(	PUNCT
cana-1817	266	17	2025	2025	NUM
cana-1817	266	18	)	)	PUNCT
cana-1817	266	19	573	573	NUM
cana-1817	266	20	the	the	DET
cana-1817	266	21	aforementioned	aforementioned	ADJ
cana-1817	266	22	four	four	NUM
cana-1817	266	23	studies	study	NOUN
cana-1817	266	24	reported	report	VERB
cana-1817	266	25	in	in	ADP
cana-1817	266	26	literature	literature	NOUN
cana-1817	266	27	are	be	AUX
cana-1817	266	28	compared	compare	VERB
cana-1817	266	29	with	with	ADP
cana-1817	266	30	the	the	DET
cana-1817	266	31	proposed	propose	VERB
cana-1817	266	32	approach	approach	NOUN
cana-1817	266	33	for	for	ADP
cana-1817	266	34	abdomen	abdomen	PROPN
cana-1817	266	35	multi	multi	ADJ
cana-1817	266	36	organ	organ	NOUN
cana-1817	266	37	segmentation	segmentation	NOUN
cana-1817	266	38	.	.	PUNCT
cana-1817	267	1	the	the	DET
cana-1817	267	2	quantitative	quantitative	ADJ
cana-1817	267	3	results	result	NOUN
cana-1817	267	4	of	of	ADP
cana-1817	267	5	the	the	DET
cana-1817	267	6	proposed	propose	VERB
cana-1817	267	7	x	x	ADJ
cana-1817	267	8	-	-	NOUN
cana-1817	267	9	densenet	densenet	NOUN
cana-1817	267	10	architecture	architecture	NOUN
cana-1817	267	11	with	with	ADP
cana-1817	267	12	the	the	DET
cana-1817	267	13	competing	compete	VERB
cana-1817	267	14	methods	method	NOUN
cana-1817	267	15	are	be	AUX
cana-1817	267	16	presented	present	VERB
cana-1817	267	17	in	in	ADP
cana-1817	267	18	table	table	NOUN
cana-1817	267	19	2	2	NUM
cana-1817	267	20	.	.	PUNCT
cana-1817	268	1	the	the	DET
cana-1817	268	2	dice	dice	NOUN
cana-1817	268	3	score	score	NOUN
cana-1817	268	4	of	of	ADP
cana-1817	268	5	the	the	DET
cana-1817	268	6	proposed	propose	VERB
cana-1817	268	7	x	x	NOUN
cana-1817	268	8	-	-	NOUN
cana-1817	268	9	densenet	densenet	NOUN
cana-1817	268	10	for	for	ADP
cana-1817	268	11	liver	liver	NOUN
cana-1817	268	12	,	,	PUNCT
cana-1817	268	13	aorta	aorta	NOUN
cana-1817	268	14	and	and	CCONJ
cana-1817	268	15	spleen	spleen	NOUN
cana-1817	268	16	is	be	AUX
cana-1817	268	17	0.904	0.904	NUM
cana-1817	268	18	,	,	PUNCT
cana-1817	268	19	0.9938	0.9938	NUM
cana-1817	268	20	,	,	PUNCT
cana-1817	268	21	and	and	CCONJ
cana-1817	268	22	0.9833	0.9833	NUM
cana-1817	268	23	respectively	respectively	ADV
cana-1817	268	24	.	.	PUNCT
cana-1817	269	1	the	the	DET
cana-1817	269	2	effectiveness	effectiveness	NOUN
cana-1817	269	3	of	of	ADP
cana-1817	269	4	the	the	DET
cana-1817	269	5	proposed	propose	VERB
cana-1817	269	6	approach	approach	NOUN
cana-1817	269	7	in	in	ADP
cana-1817	269	8	segmenting	segment	VERB
cana-1817	269	9	the	the	DET
cana-1817	269	10	aorta	aorta	NOUN
cana-1817	269	11	and	and	CCONJ
cana-1817	269	12	spleen	spleen	NOUN
cana-1817	269	13	surpasses	surpasse	NOUN
cana-1817	269	14	that	that	PRON
cana-1817	269	15	of	of	ADP
cana-1817	269	16	state	state	NOUN
cana-1817	269	17	-	-	PUNCT
cana-1817	269	18	of	of	ADP
cana-1817	269	19	-	-	PUNCT
cana-1817	269	20	the	the	DET
cana-1817	269	21	-	-	PUNCT
cana-1817	269	22	art	art	NOUN
cana-1817	269	23	studies	study	NOUN
cana-1817	269	24	.	.	PUNCT
cana-1817	270	1	notably	notably	ADV
cana-1817	270	2	,	,	PUNCT
cana-1817	270	3	the	the	DET
cana-1817	270	4	dice	dice	NOUN
cana-1817	270	5	similarity	similarity	NOUN
cana-1817	270	6	coefficient	coefficient	NOUN
cana-1817	270	7	(	(	PUNCT
cana-1817	270	8	dsc	dsc	NOUN
cana-1817	270	9	)	)	PUNCT
cana-1817	270	10	for	for	ADP
cana-1817	270	11	the	the	DET
cana-1817	270	12	aorta	aorta	NOUN
cana-1817	270	13	and	and	CCONJ
cana-1817	270	14	spleen	spleen	NOUN
cana-1817	270	15	outperforms	outperform	NOUN
cana-1817	270	16	competing	compete	VERB
cana-1817	270	17	methods	method	NOUN
cana-1817	270	18	,	,	PUNCT
cana-1817	270	19	although	although	SCONJ
cana-1817	270	20	it	it	PRON
cana-1817	270	21	is	be	AUX
cana-1817	270	22	relatively	relatively	ADV
cana-1817	270	23	lower	low	ADJ
cana-1817	270	24	for	for	ADP
cana-1817	270	25	the	the	DET
cana-1817	270	26	liver	liver	NOUN
cana-1817	270	27	.	.	PUNCT
cana-1817	271	1	the	the	DET
cana-1817	271	2	proposed	propose	VERB
cana-1817	271	3	approach	approach	NOUN
cana-1817	271	4	yields	yield	NOUN
cana-1817	271	5	mean	mean	VERB
cana-1817	271	6	values	value	NOUN
cana-1817	271	7	of	of	ADP
cana-1817	271	8	precision	precision	NOUN
cana-1817	271	9	(	(	PUNCT
cana-1817	271	10	pre	pre	ADJ
cana-1817	271	11	)	)	PUNCT
cana-1817	271	12	,	,	PUNCT
cana-1817	271	13	accuracy	accuracy	NOUN
cana-1817	271	14	(	(	PUNCT
cana-1817	271	15	acc	acc	PROPN
cana-1817	271	16	)	)	PUNCT
cana-1817	271	17	,	,	PUNCT
cana-1817	271	18	f	f	X
cana-1817	271	19	-	-	PUNCT
cana-1817	271	20	score	score	NOUN
cana-1817	271	21	,	,	PUNCT
cana-1817	271	22	and	and	CCONJ
cana-1817	271	23	dsc	dsc	NOUN
cana-1817	271	24	as	as	ADP
cana-1817	271	25	95.05	95.05	NUM
cana-1817	271	26	%	%	NOUN
cana-1817	271	27	,	,	PUNCT
cana-1817	271	28	95.55	95.55	NUM
cana-1817	271	29	%	%	NOUN
cana-1817	271	30	,	,	PUNCT
cana-1817	271	31	95.29	95.29	NUM
cana-1817	271	32	%	%	NOUN
cana-1817	271	33	,	,	PUNCT
cana-1817	271	34	and	and	CCONJ
cana-1817	271	35	96.06	96.06	NUM
cana-1817	271	36	%	%	NOUN
cana-1817	271	37	,	,	PUNCT
cana-1817	271	38	respectively	respectively	ADV
cana-1817	271	39	,	,	PUNCT
cana-1817	271	40	as	as	SCONJ
cana-1817	271	41	presented	present	VERB
cana-1817	271	42	in	in	ADP
cana-1817	271	43	table	table	NOUN
cana-1817	271	44	3	3	NUM
cana-1817	271	45	.	.	PUNCT
cana-1817	271	46	proposed	propose	VERB
cana-1817	271	47	approach	approach	NOUN
cana-1817	271	48	liver	liver	NOUN
cana-1817	271	49	aorta	aorta	NOUN
cana-1817	271	50	spleen	spleen	NOUN
cana-1817	271	51	mean	mean	VERB
cana-1817	272	1	pr	pr	X
cana-1817	272	2	(	(	PUNCT
cana-1817	272	3	%	%	INTJ
cana-1817	272	4	)	)	PUNCT
cana-1817	272	5	89.683130	89.683130	NUM
cana-1817	272	6	98.769899	98.769899	NUM
cana-1817	272	7	96.725836	96.725836	NUM
cana-1817	272	8	95.059621	95.059621	NUM
cana-1817	272	9	acc	acc	NOUN
cana-1817	272	10	(	(	PUNCT
cana-1817	272	11	%	%	NOUN
cana-1817	272	12	)	)	PUNCT
cana-1817	272	13	88.944611	88.944611	NUM
cana-1817	272	14	99.383046	99.383046	NUM
cana-1817	272	15	98.349294	98.349294	NUM
cana-1817	272	16	95.5589	95.5589	NUM
cana-1817	273	1	f	f	X
cana-1817	273	2	-	-	PUNCT
cana-1817	273	3	score	score	NOUN
cana-1817	273	4	(	(	PUNCT
cana-1817	273	5	%	%	INTJ
cana-1817	273	6	)	)	PUNCT
cana-1817	273	7	89.280966	89.280966	NUM
cana-1817	273	8	99.075524	99.075524	NUM
cana-1817	273	9	97.530810	97.530810	NUM
cana-1817	273	10	95.2957	95.2957	NUM
cana-1817	273	11	dsc	dsc	NOUN
cana-1817	273	12	(	(	PUNCT
cana-1817	273	13	%	%	INTJ
cana-1817	273	14	)	)	PUNCT
cana-1817	273	15	90.4670	90.4670	NUM
cana-1817	273	16	99.3811	99.3811	NUM
cana-1817	273	17	98.3357	98.3357	NUM
cana-1817	273	18	96.06126	96.06126	NUM
cana-1817	273	19	table	table	NOUN
cana-1817	273	20	3	3	NUM
cana-1817	273	21	mean	mean	NOUN
cana-1817	273	22	of	of	ADP
cana-1817	273	23	evaluation	evaluation	NOUN
cana-1817	273	24	metrics	metric	NOUN
cana-1817	273	25	for	for	ADP
cana-1817	273	26	liver	liver	NOUN
cana-1817	273	27	,	,	PUNCT
cana-1817	273	28	aorta	aorta	NOUN
cana-1817	273	29	and	and	CCONJ
cana-1817	273	30	spleen	spleen	VERB
cana-1817	273	31	for	for	ADP
cana-1817	273	32	our	our	PRON
cana-1817	273	33	proposed	propose	VERB
cana-1817	273	34	approach	approach	NOUN
cana-1817	273	35	fig	fig	NOUN
cana-1817	273	36	.	.	PUNCT
cana-1817	274	1	6	6	NUM
cana-1817	274	2	comparison	comparison	NOUN
cana-1817	274	3	of	of	ADP
cana-1817	274	4	dice	dice	NOUN
cana-1817	274	5	coefficient	coefficient	NOUN
cana-1817	274	6	of	of	ADP
cana-1817	274	7	different	different	ADJ
cana-1817	274	8	approaches	approach	NOUN
cana-1817	274	9	with	with	ADP
cana-1817	274	10	proposed	propose	VERB
cana-1817	274	11	x	x	NOUN
cana-1817	274	12	-	-	NOUN
cana-1817	274	13	densenet	densenet	NOUN
cana-1817	274	14	5	5	NUM
cana-1817	274	15	.	.	PUNCT
cana-1817	274	16	ablation	ablation	NOUN
cana-1817	274	17	study	study	NOUN
cana-1817	274	18	in	in	ADP
cana-1817	274	19	our	our	PRON
cana-1817	274	20	experiments	experiment	NOUN
cana-1817	274	21	,	,	PUNCT
cana-1817	274	22	we	we	PRON
cana-1817	274	23	have	have	AUX
cana-1817	274	24	conducted	conduct	VERB
cana-1817	274	25	ablation	ablation	NOUN
cana-1817	274	26	studies	study	NOUN
cana-1817	274	27	to	to	PART
cana-1817	274	28	assess	assess	VERB
cana-1817	274	29	the	the	DET
cana-1817	274	30	impact	impact	NOUN
cana-1817	274	31	of	of	ADP
cana-1817	274	32	various	various	ADJ
cana-1817	274	33	modules	module	NOUN
cana-1817	274	34	in	in	ADP
cana-1817	274	35	our	our	PRON
cana-1817	274	36	technique	technique	NOUN
cana-1817	274	37	.	.	PUNCT
cana-1817	275	1	table	table	NOUN
cana-1817	275	2	5	5	NUM
cana-1817	275	3	presents	present	VERB
cana-1817	275	4	the	the	DET
cana-1817	275	5	dice	dice	NOUN
cana-1817	275	6	score	score	NOUN
cana-1817	275	7	results	result	NOUN
cana-1817	275	8	of	of	ADP
cana-1817	275	9	the	the	DET
cana-1817	275	10	different	different	ADJ
cana-1817	275	11	organs	organ	NOUN
cana-1817	275	12	.	.	PUNCT
cana-1817	276	1	for	for	ADP
cana-1817	276	2	the	the	DET
cana-1817	276	3	sake	sake	NOUN
cana-1817	276	4	of	of	ADP
cana-1817	276	5	comparison	comparison	NOUN
cana-1817	276	6	,	,	PUNCT
cana-1817	276	7	we	we	PRON
cana-1817	276	8	adopted	adopt	VERB
cana-1817	276	9	x	x	NOUN
cana-1817	276	10	-	-	NOUN
cana-1817	276	11	net	net	NOUN
cana-1817	276	12	as	as	ADP
cana-1817	276	13	our	our	PRON
cana-1817	276	14	baseline	baseline	NOUN
cana-1817	276	15	,	,	PUNCT
cana-1817	276	16	as	as	SCONJ
cana-1817	276	17	we	we	PRON
cana-1817	276	18	aimed	aim	VERB
cana-1817	276	19	to	to	PART
cana-1817	276	20	enhance	enhance	VERB
cana-1817	276	21	its	its	PRON
cana-1817	276	22	performance	performance	NOUN
cana-1817	276	23	on	on	ADP
cana-1817	276	24	our	our	PRON
cana-1817	276	25	specific	specific	ADJ
cana-1817	276	26	dataset	dataset	NOUN
cana-1817	276	27	.	.	PUNCT
cana-1817	277	1	specifically	specifically	ADV
cana-1817	277	2	,	,	PUNCT
cana-1817	277	3	we	we	PRON
cana-1817	277	4	implemented	implement	VERB
cana-1817	277	5	the	the	DET
cana-1817	277	6	existing	exist	VERB
cana-1817	277	7	x	x	ADJ
cana-1817	277	8	-	-	ADJ
cana-1817	277	9	net	net	ADJ
cana-1817	277	10	architecture	architecture	NOUN
cana-1817	277	11	without	without	ADP
cana-1817	277	12	opticlaheweightedgwo	opticlaheweightedgwo	NOUN
cana-1817	277	13	on	on	ADP
cana-1817	277	14	our	our	PRON
cana-1817	277	15	dataset	dataset	NOUN
cana-1817	277	16	,	,	PUNCT
cana-1817	277	17	resulting	result	VERB
cana-1817	277	18	in	in	ADP
cana-1817	277	19	dice	dice	NOUN
cana-1817	277	20	scores	score	NOUN
cana-1817	277	21	of	of	ADP
cana-1817	277	22	0.2799	0.2799	NUM
cana-1817	277	23	,	,	PUNCT
cana-1817	277	24	0.97633	0.97633	NUM
cana-1817	277	25	,	,	PUNCT
cana-1817	277	26	and	and	CCONJ
cana-1817	277	27	0.9759	0.9759	NUM
cana-1817	277	28	for	for	ADP
cana-1817	277	29	the	the	DET
cana-1817	277	30	liver	liver	NOUN
cana-1817	277	31	,	,	PUNCT
cana-1817	277	32	communications	communication	NOUN
cana-1817	277	33	on	on	ADP
cana-1817	277	34	applied	apply	VERB
cana-1817	277	35	nonlinear	nonlinear	ADJ
cana-1817	277	36	analysis	analysis	NOUN
cana-1817	277	37	issn	issn	NOUN
cana-1817	277	38	:	:	PUNCT
cana-1817	277	39	1074	1074	NUM
cana-1817	277	40	-	-	PUNCT
cana-1817	277	41	133x	133x	NUM
cana-1817	277	42	vol	vol	NOUN
cana-1817	277	43	32	32	NUM
cana-1817	278	1	no	no	NOUN
cana-1817	278	2	.	.	NOUN
cana-1817	278	3	2	2	NUM
cana-1817	278	4	(	(	PUNCT
cana-1817	278	5	2025	2025	NUM
cana-1817	278	6	)	)	PUNCT
cana-1817	278	7	574	574	NUM
cana-1817	278	8	aorta	aorta	NOUN
cana-1817	278	9	,	,	PUNCT
cana-1817	278	10	and	and	CCONJ
cana-1817	278	11	spleen	spleen	NOUN
cana-1817	278	12	,	,	PUNCT
cana-1817	278	13	respectively	respectively	ADV
cana-1817	278	14	.	.	PUNCT
cana-1817	279	1	this	this	DET
cana-1817	279	2	baseline	baseline	ADJ
cana-1817	279	3	performance	performance	NOUN
cana-1817	279	4	serves	serve	VERB
cana-1817	279	5	as	as	ADP
cana-1817	279	6	a	a	DET
cana-1817	279	7	reference	reference	NOUN
cana-1817	279	8	point	point	NOUN
cana-1817	279	9	for	for	ADP
cana-1817	279	10	evaluating	evaluate	VERB
cana-1817	279	11	the	the	DET
cana-1817	279	12	enhancements	enhancement	NOUN
cana-1817	279	13	we	we	PRON
cana-1817	279	14	introduce	introduce	VERB
cana-1817	279	15	in	in	ADP
cana-1817	279	16	subsequent	subsequent	ADJ
cana-1817	279	17	analyses	analysis	NOUN
cana-1817	279	18	.	.	PUNCT
cana-1817	280	1	original	original	ADJ
cana-1817	280	2	image	image	NOUN
cana-1817	280	3	segmented	segment	VERB
cana-1817	280	4	image	image	NOUN
cana-1817	280	5	true	true	ADJ
cana-1817	280	6	positive	positive	ADJ
cana-1817	280	7	(	(	PUNCT
cana-1817	280	8	tp	tp	NOUN
cana-1817	280	9	)	)	PUNCT
cana-1817	280	10	and	and	CCONJ
cana-1817	280	11	false	false	ADJ
cana-1817	280	12	negative	negative	ADJ
cana-1817	280	13	(	(	PUNCT
cana-1817	280	14	fn	fn	NOUN
cana-1817	280	15	)	)	PUNCT
cana-1817	280	16	false	false	ADJ
cana-1817	280	17	positive	positive	ADJ
cana-1817	280	18	(	(	PUNCT
cana-1817	280	19	fp	fp	X
cana-1817	280	20	)	)	PUNCT
cana-1817	280	21	table	table	NOUN
cana-1817	280	22	4	4	NUM
cana-1817	280	23	qualitative	qualitative	ADJ
cana-1817	280	24	results	result	NOUN
cana-1817	280	25	of	of	ADP
cana-1817	280	26	multiorgan	multiorgan	NOUN
cana-1817	280	27	segmentation	segmentation	NOUN
cana-1817	280	28	with	with	ADP
cana-1817	280	29	proposed	propose	VERB
cana-1817	280	30	technique	technique	NOUN
cana-1817	280	31	on	on	ADP
cana-1817	280	32	2d	2d	NUM
cana-1817	280	33	axial	axial	ADJ
cana-1817	280	34	slices	slice	NOUN
cana-1817	280	35	effect	effect	NOUN
cana-1817	280	36	of	of	ADP
cana-1817	280	37	opticlahe	opticlahe	NOUN
cana-1817	280	38	-	-	PUNCT
cana-1817	280	39	weightedgwo	weightedgwo	NOUN
cana-1817	280	40	.	.	PUNCT
cana-1817	281	1	the	the	DET
cana-1817	281	2	objective	objective	NOUN
cana-1817	281	3	is	be	AUX
cana-1817	281	4	to	to	PART
cana-1817	281	5	discern	discern	VERB
cana-1817	281	6	the	the	DET
cana-1817	281	7	impact	impact	NOUN
cana-1817	281	8	of	of	ADP
cana-1817	281	9	incorporating	incorporate	VERB
cana-1817	281	10	first	first	ADJ
cana-1817	281	11	phase	phase	NOUN
cana-1817	281	12	into	into	ADP
cana-1817	281	13	the	the	DET
cana-1817	281	14	existing	exist	VERB
cana-1817	281	15	x	x	ADJ
cana-1817	281	16	-	-	ADJ
cana-1817	281	17	net	net	ADJ
cana-1817	281	18	framework	framework	NOUN
cana-1817	281	19	.	.	PUNCT
cana-1817	282	1	the	the	DET
cana-1817	282	2	results	result	NOUN
cana-1817	282	3	presented	present	VERB
cana-1817	282	4	in	in	ADP
cana-1817	282	5	the	the	DET
cana-1817	282	6	table	table	NOUN
cana-1817	282	7	5	5	NUM
cana-1817	282	8	clearly	clearly	ADV
cana-1817	282	9	demonstrate	demonstrate	VERB
cana-1817	282	10	that	that	SCONJ
cana-1817	282	11	training	train	VERB
cana-1817	282	12	the	the	DET
cana-1817	282	13	x	x	ADJ
cana-1817	282	14	-	-	ADJ
cana-1817	282	15	net	net	ADJ
cana-1817	282	16	model	model	NOUN
cana-1817	282	17	on	on	ADP
cana-1817	282	18	a	a	DET
cana-1817	282	19	dataset	dataset	NOUN
cana-1817	282	20	enhanced	enhance	VERB
cana-1817	282	21	with	with	ADP
cana-1817	282	22	opticlahe	opticlahe	NOUN
cana-1817	282	23	-	-	PUNCT
cana-1817	282	24	weighted	weight	VERB
cana-1817	282	25	gwo	gwo	PROPN
cana-1817	282	26	yields	yields	PROPN
cana-1817	282	27	communications	communication	NOUN
cana-1817	282	28	on	on	ADP
cana-1817	282	29	applied	apply	VERB
cana-1817	282	30	nonlinear	nonlinear	ADJ
cana-1817	282	31	analysis	analysis	NOUN
cana-1817	282	32	issn	issn	NOUN
cana-1817	282	33	:	:	PUNCT
cana-1817	282	34	1074	1074	NUM
cana-1817	282	35	-	-	PUNCT
cana-1817	282	36	133x	133x	NUM
cana-1817	282	37	vol	vol	NOUN
cana-1817	282	38	32	32	NUM
cana-1817	282	39	no	no	NOUN
cana-1817	282	40	.	.	NOUN
cana-1817	282	41	2	2	NUM
cana-1817	282	42	(	(	PUNCT
cana-1817	282	43	2025	2025	NUM
cana-1817	282	44	)	)	PUNCT
cana-1817	282	45	575	575	NUM
cana-1817	282	46	superior	superior	ADJ
cana-1817	282	47	performance	performance	NOUN
cana-1817	282	48	compared	compare	VERB
cana-1817	282	49	to	to	ADP
cana-1817	282	50	training	train	VERB
cana-1817	282	51	the	the	DET
cana-1817	282	52	model	model	NOUN
cana-1817	282	53	without	without	ADP
cana-1817	282	54	this	this	DET
cana-1817	282	55	enhancement	enhancement	NOUN
cana-1817	282	56	algorithm	algorithm	NOUN
cana-1817	282	57	.	.	PUNCT
cana-1817	283	1	specifically	specifically	ADV
cana-1817	283	2	,	,	PUNCT
cana-1817	283	3	the	the	DET
cana-1817	283	4	dice	dice	NOUN
cana-1817	283	5	scores	score	NOUN
cana-1817	283	6	for	for	ADP
cana-1817	283	7	the	the	DET
cana-1817	283	8	liver	liver	NOUN
cana-1817	283	9	,	,	PUNCT
cana-1817	283	10	aorta	aorta	NOUN
cana-1817	283	11	,	,	PUNCT
cana-1817	283	12	and	and	CCONJ
cana-1817	283	13	spleen	spleen	NOUN
cana-1817	283	14	exhibit	exhibit	VERB
cana-1817	283	15	significant	significant	ADJ
cana-1817	283	16	improvement	improvement	NOUN
cana-1817	283	17	,	,	PUNCT
cana-1817	283	18	reaching	reach	VERB
cana-1817	283	19	0.481719	0.481719	NUM
cana-1817	283	20	,	,	PUNCT
cana-1817	283	21	0.985	0.985	NUM
cana-1817	283	22	,	,	PUNCT
cana-1817	283	23	and	and	CCONJ
cana-1817	283	24	0.981	0.981	NUM
cana-1817	283	25	,	,	PUNCT
cana-1817	283	26	respectively	respectively	ADV
cana-1817	283	27	.	.	PUNCT
cana-1817	284	1	these	these	DET
cana-1817	284	2	findings	finding	NOUN
cana-1817	284	3	underscore	underscore	VERB
cana-1817	284	4	the	the	DET
cana-1817	284	5	essential	essential	ADJ
cana-1817	284	6	nature	nature	NOUN
cana-1817	284	7	of	of	ADP
cana-1817	284	8	the	the	DET
cana-1817	284	9	initial	initial	ADJ
cana-1817	284	10	phase	phase	NOUN
cana-1817	284	11	's	's	PART
cana-1817	284	12	inclusion	inclusion	NOUN
cana-1817	284	13	in	in	ADP
cana-1817	284	14	our	our	PRON
cana-1817	284	15	methodology	methodology	NOUN
cana-1817	284	16	.	.	PUNCT
cana-1817	285	1	experiments	experiment	NOUN
cana-1817	285	2	liver	liver	VERB
cana-1817	285	3	aorta	aorta	NOUN
cana-1817	285	4	spleen	spleen	PROPN
cana-1817	285	5	x	x	PROPN
cana-1817	285	6	-	-	NOUN
cana-1817	285	7	net	net	ADJ
cana-1817	285	8	0.279913	0.279913	NUM
cana-1817	285	9	0.976334	0.976334	NUM
cana-1817	285	10	0.975982	0.975982	NUM
cana-1817	285	11	x	x	NOUN
cana-1817	285	12	-	-	NOUN
cana-1817	285	13	net	net	ADJ
cana-1817	285	14	with	with	ADP
cana-1817	285	15	opticlaheweighted	opticlaheweighte	VERB
cana-1817	285	16	gwo	gwo	NOUN
cana-1817	285	17	0.481719	0.481719	NUM
cana-1817	285	18	0.985	0.985	NUM
cana-1817	285	19	0.981	0.981	NUM
cana-1817	285	20	first	first	ADJ
cana-1817	285	21	phase	phase	NOUN
cana-1817	285	22	+	+	CCONJ
cana-1817	285	23	x	x	X
cana-1817	285	24	-	-	NOUN
cana-1817	285	25	net	net	ADJ
cana-1817	285	26	+	+	CCONJ
cana-1817	285	27	3	3	NUM
cana-1817	285	28	dense	dense	ADJ
cana-1817	285	29	block	block	NOUN
cana-1817	285	30	on	on	ADP
cana-1817	285	31	100	100	NUM
cana-1817	285	32	iterations	iteration	NOUN
cana-1817	285	33	0.633846	0.633846	NUM
cana-1817	285	34	0.991	0.991	NUM
cana-1817	285	35	0.982	0.982	NUM
cana-1817	285	36	proposed	propose	VERB
cana-1817	285	37	:	:	PUNCT
cana-1817	285	38	first	first	ADJ
cana-1817	285	39	phase	phase	NOUN
cana-1817	285	40	+	+	NOUN
cana-1817	285	41	x	x	VERB
cana-1817	285	42	-	-	ADJ
cana-1817	285	43	net+3	net+3	VERB
cana-1817	285	44	dense	dense	ADJ
cana-1817	285	45	block	block	NOUN
cana-1817	285	46	on	on	ADP
cana-1817	285	47	200	200	NUM
cana-1817	285	48	iterations	iteration	NOUN
cana-1817	285	49	0.904670	0.904670	NUM
cana-1817	285	50	0.993811	0.993811	NUM
cana-1817	285	51	0.983357	0.983357	NUM
cana-1817	285	52	table	table	NOUN
cana-1817	285	53	5	5	NUM
cana-1817	285	54	quantitative	quantitative	ADJ
cana-1817	285	55	results	result	NOUN
cana-1817	285	56	of	of	ADP
cana-1817	285	57	ablation	ablation	NOUN
cana-1817	285	58	study	study	NOUN
cana-1817	285	59	effect	effect	NOUN
cana-1817	285	60	of	of	ADP
cana-1817	285	61	adding	add	VERB
cana-1817	285	62	dense	dense	ADJ
cana-1817	285	63	blocks	block	NOUN
cana-1817	285	64	.	.	PUNCT
cana-1817	286	1	to	to	PART
cana-1817	286	2	gauge	gauge	VERB
cana-1817	286	3	the	the	DET
cana-1817	286	4	significance	significance	NOUN
cana-1817	286	5	of	of	ADP
cana-1817	286	6	dense	dense	ADJ
cana-1817	286	7	blocks	block	NOUN
cana-1817	286	8	in	in	ADP
cana-1817	286	9	enhancing	enhance	VERB
cana-1817	286	10	the	the	DET
cana-1817	286	11	x	x	ADJ
cana-1817	286	12	-	-	ADJ
cana-1817	286	13	net	net	ADJ
cana-1817	286	14	architecture	architecture	NOUN
cana-1817	286	15	on	on	ADP
cana-1817	286	16	a	a	DET
cana-1817	286	17	preprocessed	preprocesse	VERB
cana-1817	286	18	dataset	dataset	NOUN
cana-1817	286	19	with	with	ADP
cana-1817	286	20	opticlahe	opticlahe	NOUN
cana-1817	286	21	-	-	PUNCT
cana-1817	286	22	weighted	weight	VERB
cana-1817	286	23	gwo	gwo	NOUN
cana-1817	286	24	,	,	PUNCT
cana-1817	286	25	a	a	DET
cana-1817	286	26	systematic	systematic	ADJ
cana-1817	286	27	exploration	exploration	NOUN
cana-1817	286	28	was	be	AUX
cana-1817	286	29	conducted	conduct	VERB
cana-1817	286	30	.	.	PUNCT
cana-1817	287	1	initially	initially	ADV
cana-1817	287	2	,	,	PUNCT
cana-1817	287	3	one	one	NUM
cana-1817	287	4	dense	dense	ADJ
cana-1817	287	5	block	block	NOUN
cana-1817	287	6	was	be	AUX
cana-1817	287	7	added	add	VERB
cana-1817	287	8	incrementally	incrementally	ADV
cana-1817	287	9	until	until	SCONJ
cana-1817	287	10	optimal	optimal	ADJ
cana-1817	287	11	results	result	NOUN
cana-1817	287	12	were	be	AUX
cana-1817	287	13	obtained	obtain	VERB
cana-1817	287	14	.	.	PUNCT
cana-1817	288	1	strikingly	strikingly	ADV
cana-1817	288	2	,	,	PUNCT
cana-1817	288	3	the	the	DET
cana-1817	288	4	most	most	ADV
cana-1817	288	5	favorable	favorable	ADJ
cana-1817	288	6	outcomes	outcome	NOUN
cana-1817	288	7	were	be	AUX
cana-1817	288	8	achieved	achieve	VERB
cana-1817	288	9	with	with	ADP
cana-1817	288	10	the	the	DET
cana-1817	288	11	inclusion	inclusion	NOUN
cana-1817	288	12	of	of	ADP
cana-1817	288	13	three	three	NUM
cana-1817	288	14	dense	dense	ADJ
cana-1817	288	15	blocks	block	NOUN
cana-1817	288	16	.	.	PUNCT
cana-1817	289	1	beyond	beyond	ADP
cana-1817	289	2	this	this	DET
cana-1817	289	3	point	point	NOUN
cana-1817	289	4	,	,	PUNCT
cana-1817	289	5	the	the	DET
cana-1817	289	6	performance	performance	NOUN
cana-1817	289	7	exhibited	exhibit	VERB
cana-1817	289	8	a	a	DET
cana-1817	289	9	noticeable	noticeable	ADJ
cana-1817	289	10	decline	decline	NOUN
cana-1817	289	11	upon	upon	SCONJ
cana-1817	289	12	introducing	introduce	VERB
cana-1817	289	13	a	a	DET
cana-1817	289	14	fourth	fourth	ADJ
cana-1817	289	15	dense	dense	ADJ
cana-1817	289	16	block	block	NOUN
cana-1817	289	17	.	.	PUNCT
cana-1817	290	1	consequently	consequently	ADV
cana-1817	290	2	,	,	PUNCT
cana-1817	290	3	after	after	ADP
cana-1817	290	4	a	a	DET
cana-1817	290	5	series	series	NOUN
cana-1817	290	6	of	of	ADP
cana-1817	290	7	experiments	experiment	NOUN
cana-1817	290	8	,	,	PUNCT
cana-1817	290	9	the	the	DET
cana-1817	290	10	proposed	propose	VERB
cana-1817	290	11	x	x	NOUN
cana-1817	290	12	-	-	NOUN
cana-1817	290	13	densenet	densenet	NOUN
cana-1817	290	14	with	with	ADP
cana-1817	290	15	three	three	NUM
cana-1817	290	16	dense	dense	ADJ
cana-1817	290	17	blocks	block	NOUN
cana-1817	290	18	emerged	emerge	VERB
cana-1817	290	19	as	as	ADP
cana-1817	290	20	the	the	DET
cana-1817	290	21	architecture	architecture	NOUN
cana-1817	290	22	delivering	deliver	VERB
cana-1817	290	23	superior	superior	ADJ
cana-1817	290	24	results	result	NOUN
cana-1817	290	25	.	.	PUNCT
cana-1817	291	1	this	this	DET
cana-1817	291	2	experimentation	experimentation	NOUN
cana-1817	291	3	establishes	establish	VERB
cana-1817	291	4	the	the	DET
cana-1817	291	5	indispensability	indispensability	NOUN
cana-1817	291	6	of	of	ADP
cana-1817	291	7	employing	employ	VERB
cana-1817	291	8	three	three	NUM
cana-1817	291	9	dense	dense	ADJ
cana-1817	291	10	blocks	block	NOUN
cana-1817	291	11	for	for	ADP
cana-1817	291	12	x	x	NOUN
cana-1817	291	13	-	-	NOUN
cana-1817	291	14	net	net	ADJ
cana-1817	291	15	on	on	ADP
cana-1817	291	16	our	our	PRON
cana-1817	291	17	dataset	dataset	NOUN
cana-1817	291	18	.	.	PUNCT
cana-1817	292	1	further	far	ADV
cana-1817	292	2	,	,	PUNCT
cana-1817	292	3	experiments	experiment	NOUN
cana-1817	292	4	are	be	AUX
cana-1817	292	5	performed	perform	VERB
cana-1817	292	6	with	with	ADP
cana-1817	292	7	spatial	spatial	ADJ
cana-1817	292	8	dropouts	dropout	NOUN
cana-1817	292	9	to	to	PART
cana-1817	292	10	improve	improve	VERB
cana-1817	292	11	the	the	DET
cana-1817	292	12	complexity	complexity	NOUN
cana-1817	292	13	of	of	ADP
cana-1817	292	14	architecture	architecture	NOUN
cana-1817	292	15	;	;	PUNCT
cana-1817	292	16	however	however	ADV
cana-1817	292	17	favorable	favorable	ADJ
cana-1817	292	18	outcomes	outcome	NOUN
cana-1817	292	19	are	be	AUX
cana-1817	292	20	not	not	PART
cana-1817	292	21	achieved	achieve	VERB
cana-1817	292	22	.	.	PUNCT
cana-1817	293	1	effect	effect	NOUN
cana-1817	293	2	of	of	ADP
cana-1817	293	3	number	number	NOUN
cana-1817	293	4	of	of	ADP
cana-1817	293	5	iterations	iteration	NOUN
cana-1817	293	6	.	.	PUNCT
cana-1817	294	1	the	the	DET
cana-1817	294	2	appropriate	appropriate	ADJ
cana-1817	294	3	number	number	NOUN
cana-1817	294	4	of	of	ADP
cana-1817	294	5	epochs	epoch	NOUN
cana-1817	294	6	for	for	ADP
cana-1817	294	7	segmentation	segmentation	NOUN
cana-1817	294	8	model	model	NOUN
cana-1817	294	9	training	training	NOUN
cana-1817	294	10	depends	depend	VERB
cana-1817	294	11	on	on	ADP
cana-1817	294	12	the	the	DET
cana-1817	294	13	dataset	dataset	NOUN
cana-1817	294	14	and	and	CCONJ
cana-1817	294	15	model	model	NOUN
cana-1817	294	16	complexity	complexity	NOUN
cana-1817	294	17	,	,	PUNCT
cana-1817	294	18	with	with	ADP
cana-1817	294	19	a	a	DET
cana-1817	294	20	balance	balance	NOUN
cana-1817	294	21	needed	need	VERB
cana-1817	294	22	to	to	PART
cana-1817	294	23	avoid	avoid	VERB
cana-1817	294	24	underfitting	underfitting	NOUN
cana-1817	294	25	or	or	CCONJ
cana-1817	294	26	overfitting	overfitting	NOUN
cana-1817	294	27	.	.	PUNCT
cana-1817	295	1	regular	regular	ADJ
cana-1817	295	2	monitoring	monitoring	NOUN
cana-1817	295	3	of	of	ADP
cana-1817	295	4	validation	validation	NOUN
cana-1817	295	5	metrics	metric	NOUN
cana-1817	295	6	,	,	PUNCT
cana-1817	295	7	such	such	ADJ
cana-1817	295	8	as	as	ADP
cana-1817	295	9	the	the	DET
cana-1817	295	10	dice	dice	NOUN
cana-1817	295	11	similarity	similarity	NOUN
cana-1817	295	12	coefficient	coefficient	NOUN
cana-1817	295	13	(	(	PUNCT
cana-1817	295	14	dsc	dsc	NOUN
cana-1817	295	15	)	)	PUNCT
cana-1817	295	16	score	score	NOUN
cana-1817	295	17	,	,	PUNCT
cana-1817	295	18	helps	helps	AUX
cana-1817	295	19	identify	identify	VERB
cana-1817	295	20	the	the	DET
cana-1817	295	21	optimal	optimal	ADJ
cana-1817	295	22	point	point	NOUN
cana-1817	295	23	for	for	ADP
cana-1817	295	24	model	model	NOUN
cana-1817	295	25	convergence	convergence	NOUN
cana-1817	295	26	.	.	PUNCT
cana-1817	296	1	we	we	PRON
cana-1817	296	2	have	have	AUX
cana-1817	296	3	performed	perform	VERB
cana-1817	296	4	experiments	experiment	NOUN
cana-1817	296	5	to	to	PART
cana-1817	296	6	get	get	VERB
cana-1817	296	7	the	the	DET
cana-1817	296	8	best	good	ADJ
cana-1817	296	9	suitable	suitable	ADJ
cana-1817	296	10	count	count	NOUN
cana-1817	296	11	of	of	ADP
cana-1817	296	12	iterations	iteration	NOUN
cana-1817	296	13	for	for	ADP
cana-1817	296	14	this	this	DET
cana-1817	296	15	architecture	architecture	NOUN
cana-1817	296	16	and	and	CCONJ
cana-1817	296	17	environmental	environmental	ADJ
cana-1817	296	18	variables	variable	NOUN
cana-1817	296	19	.	.	PUNCT
cana-1817	297	1	it	it	PRON
cana-1817	297	2	has	have	AUX
cana-1817	297	3	been	be	AUX
cana-1817	297	4	observed	observe	VERB
cana-1817	297	5	that	that	SCONJ
cana-1817	297	6	x	x	NOUN
cana-1817	297	7	-	-	NOUN
cana-1817	297	8	densenet	densenet	NOUN
cana-1817	297	9	with	with	ADP
cana-1817	297	10	200	200	NUM
cana-1817	297	11	epochs	epoch	NOUN
cana-1817	297	12	yielded	yield	VERB
cana-1817	297	13	the	the	DET
cana-1817	297	14	most	most	ADV
cana-1817	297	15	favorable	favorable	ADJ
cana-1817	297	16	results	result	NOUN
cana-1817	297	17	.	.	PUNCT
cana-1817	298	1	while	while	SCONJ
cana-1817	298	2	the	the	DET
cana-1817	298	3	number	number	NOUN
cana-1817	298	4	of	of	ADP
cana-1817	298	5	epochs	epoch	NOUN
cana-1817	298	6	between	between	ADP
cana-1817	298	7	100	100	NUM
cana-1817	298	8	and	and	CCONJ
cana-1817	298	9	200	200	NUM
cana-1817	298	10	had	have	VERB
cana-1817	298	11	a	a	DET
cana-1817	298	12	relatively	relatively	ADV
cana-1817	298	13	minimal	minimal	ADJ
cana-1817	298	14	impact	impact	NOUN
cana-1817	298	15	on	on	ADP
cana-1817	298	16	the	the	DET
cana-1817	298	17	performance	performance	NOUN
cana-1817	298	18	of	of	ADP
cana-1817	298	19	the	the	DET
cana-1817	298	20	model	model	NOUN
cana-1817	298	21	concerning	concern	VERB
cana-1817	298	22	the	the	DET
cana-1817	298	23	aorta	aorta	NOUN
cana-1817	298	24	and	and	CCONJ
cana-1817	298	25	spleen	spleen	NOUN
cana-1817	298	26	,	,	PUNCT
cana-1817	298	27	a	a	DET
cana-1817	298	28	discernible	discernible	ADJ
cana-1817	298	29	effect	effect	NOUN
cana-1817	298	30	was	be	AUX
cana-1817	298	31	observed	observe	VERB
cana-1817	298	32	in	in	ADP
cana-1817	298	33	the	the	DET
cana-1817	298	34	dice	dice	NOUN
cana-1817	298	35	score	score	NOUN
cana-1817	298	36	for	for	ADP
cana-1817	298	37	the	the	DET
cana-1817	298	38	liver	liver	NOUN
cana-1817	298	39	.	.	PUNCT
cana-1817	299	1	this	this	PRON
cana-1817	299	2	underscores	underscore	VERB
cana-1817	299	3	the	the	DET
cana-1817	299	4	critical	critical	ADJ
cana-1817	299	5	role	role	NOUN
cana-1817	299	6	of	of	ADP
cana-1817	299	7	epoch	epoch	NOUN
cana-1817	299	8	count	count	NOUN
cana-1817	299	9	in	in	ADP
cana-1817	299	10	achieving	achieve	VERB
cana-1817	299	11	optimal	optimal	ADJ
cana-1817	299	12	performance	performance	NOUN
cana-1817	299	13	,	,	PUNCT
cana-1817	299	14	particularly	particularly	ADV
cana-1817	299	15	with	with	ADP
cana-1817	299	16	respect	respect	NOUN
cana-1817	299	17	to	to	ADP
cana-1817	299	18	certain	certain	ADJ
cana-1817	299	19	organs	organ	NOUN
cana-1817	299	20	within	within	ADP
cana-1817	299	21	our	our	PRON
cana-1817	299	22	dataset	dataset	NOUN
cana-1817	299	23	.	.	PUNCT
cana-1817	300	1	6	6	X
cana-1817	300	2	.	.	X
cana-1817	300	3	discussion	discussion	NOUN
cana-1817	300	4	in	in	ADP
cana-1817	300	5	this	this	DET
cana-1817	300	6	paper	paper	NOUN
cana-1817	300	7	,	,	PUNCT
cana-1817	300	8	a	a	DET
cana-1817	300	9	novel	novel	ADJ
cana-1817	300	10	approach	approach	NOUN
cana-1817	300	11	is	be	AUX
cana-1817	300	12	proposed	propose	VERB
cana-1817	300	13	to	to	PART
cana-1817	300	14	accurately	accurately	ADV
cana-1817	300	15	segment	segment	VERB
cana-1817	300	16	multiple	multiple	ADJ
cana-1817	300	17	organs	organ	NOUN
cana-1817	300	18	from	from	ADP
cana-1817	300	19	abdomen	abdomen	PROPN
cana-1817	300	20	ct	ct	NUM
cana-1817	300	21	images	image	NOUN
cana-1817	300	22	.	.	PUNCT
cana-1817	301	1	the	the	DET
cana-1817	301	2	experiments	experiment	NOUN
cana-1817	301	3	are	be	AUX
cana-1817	301	4	conducted	conduct	VERB
cana-1817	301	5	to	to	ADP
cana-1817	301	6	segment	segment	NOUN
cana-1817	301	7	liver	liver	NOUN
cana-1817	301	8	,	,	PUNCT
cana-1817	301	9	aorta	aorta	NOUN
cana-1817	301	10	and	and	CCONJ
cana-1817	301	11	spleen	spleen	NOUN
cana-1817	301	12	.	.	PUNCT
cana-1817	302	1	6.1	6.1	NUM
cana-1817	302	2	findings	finding	NOUN
cana-1817	302	3	the	the	DET
cana-1817	302	4	proposed	propose	VERB
cana-1817	302	5	approach	approach	NOUN
cana-1817	302	6	consists	consist	VERB
cana-1817	302	7	of	of	ADP
cana-1817	302	8	two	two	NUM
cana-1817	302	9	phases	phase	NOUN
cana-1817	302	10	(	(	PUNCT
cana-1817	302	11	a	a	X
cana-1817	302	12	)	)	PUNCT
cana-1817	302	13	opticlahe	opticlahe	NOUN
cana-1817	302	14	-	-	PUNCT
cana-1817	302	15	weighted	weight	VERB
cana-1817	302	16	gwo	gwo	NOUN
cana-1817	302	17	(	(	PUNCT
cana-1817	302	18	b	b	NOUN
cana-1817	302	19	)	)	PUNCT
cana-1817	302	20	x	x	NOUN
cana-1817	302	21	-	-	NOUN
cana-1817	302	22	densenet	densenet	NOUN
cana-1817	302	23	.	.	PUNCT
cana-1817	303	1	the	the	DET
cana-1817	303	2	proposed	propose	VERB
cana-1817	303	3	method	method	NOUN
cana-1817	303	4	,	,	PUNCT
cana-1817	303	5	named	name	VERB
cana-1817	303	6	opticlahe	opticlahe	NOUN
cana-1817	303	7	,	,	PUNCT
cana-1817	303	8	employs	employ	VERB
cana-1817	303	9	a	a	DET
cana-1817	303	10	swarm	swarm	NOUN
cana-1817	303	11	intelligence	intelligence	NOUN
cana-1817	303	12	(	(	PUNCT
cana-1817	303	13	si	si	NOUN
cana-1817	303	14	)	)	PUNCT
cana-1817	303	15	algorithm	algorithm	NOUN
cana-1817	303	16	called	call	VERB
cana-1817	303	17	grey	grey	PROPN
cana-1817	303	18	wolf	wolf	PROPN
cana-1817	303	19	optimization	optimization	NOUN
cana-1817	303	20	(	(	PUNCT
cana-1817	303	21	gwo	gwo	PROPN
cana-1817	303	22	)	)	PUNCT
cana-1817	303	23	to	to	PART
cana-1817	303	24	automatically	automatically	ADV
cana-1817	303	25	select	select	VERB
cana-1817	303	26	an	an	DET
cana-1817	303	27	optimized	optimize	VERB
cana-1817	303	28	clip	clip	NOUN
cana-1817	303	29	limit	limit	NOUN
cana-1817	303	30	for	for	ADP
cana-1817	303	31	contrast	contrast	NOUN
cana-1817	303	32	limited	limit	VERB
cana-1817	303	33	adaptive	adaptive	ADJ
cana-1817	303	34	histogram	histogram	NOUN
cana-1817	303	35	equalization	equalization	NOUN
cana-1817	303	36	(	(	PUNCT
cana-1817	303	37	clahe	clahe	PROPN
cana-1817	303	38	)	)	PUNCT
cana-1817	303	39	.	.	PUNCT
cana-1817	304	1	communications	communication	NOUN
cana-1817	304	2	on	on	ADP
cana-1817	304	3	applied	apply	VERB
cana-1817	304	4	nonlinear	nonlinear	ADJ
cana-1817	304	5	analysis	analysis	NOUN
cana-1817	304	6	issn	issn	NOUN
cana-1817	304	7	:	:	PUNCT
cana-1817	304	8	1074	1074	NUM
cana-1817	304	9	-	-	PUNCT
cana-1817	304	10	133x	133x	NUM
cana-1817	304	11	vol	vol	NOUN
cana-1817	304	12	32	32	NUM
cana-1817	304	13	no	no	NOUN
cana-1817	304	14	.	.	NOUN
cana-1817	304	15	2	2	NUM
cana-1817	304	16	(	(	PUNCT
cana-1817	304	17	2025	2025	NUM
cana-1817	304	18	)	)	PUNCT
cana-1817	304	19	576	576	NUM
cana-1817	304	20	fig	fig	NOUN
cana-1817	304	21	.	.	PUNCT
cana-1817	305	1	7	7	NUM
cana-1817	305	2	effect	effect	NOUN
cana-1817	305	3	of	of	ADP
cana-1817	305	4	different	different	ADJ
cana-1817	305	5	phases	phase	NOUN
cana-1817	305	6	on	on	ADP
cana-1817	305	7	the	the	DET
cana-1817	305	8	baseline	baseline	NOUN
cana-1817	305	9	x	x	NOUN
cana-1817	305	10	-	-	NOUN
cana-1817	305	11	net	net	ADJ
cana-1817	305	12	the	the	DET
cana-1817	305	13	paper	paper	NOUN
cana-1817	305	14	then	then	ADV
cana-1817	305	15	introduces	introduce	VERB
cana-1817	305	16	segmentation	segmentation	NOUN
cana-1817	305	17	architecture	architecture	NOUN
cana-1817	305	18	,	,	PUNCT
cana-1817	305	19	x	x	NOUN
cana-1817	305	20	-	-	NOUN
cana-1817	305	21	densenet	densenet	NOUN
cana-1817	305	22	,	,	PUNCT
cana-1817	305	23	which	which	PRON
cana-1817	305	24	integrates	integrate	VERB
cana-1817	305	25	enhanced	enhance	VERB
cana-1817	305	26	images	image	NOUN
cana-1817	305	27	for	for	ADP
cana-1817	305	28	multi	multi	ADJ
cana-1817	305	29	-	-	ADJ
cana-1817	305	30	organ	organ	ADJ
cana-1817	305	31	segmentation	segmentation	NOUN
cana-1817	305	32	.	.	PUNCT
cana-1817	306	1	we	we	PRON
cana-1817	306	2	have	have	AUX
cana-1817	306	3	utilized	utilize	VERB
cana-1817	306	4	flare	flare	NOUN
cana-1817	306	5	22	22	NUM
cana-1817	306	6	challenge	challenge	NOUN
cana-1817	306	7	dataset	dataset	VERB
cana-1817	306	8	for	for	ADP
cana-1817	306	9	training	training	NOUN
cana-1817	306	10	of	of	ADP
cana-1817	306	11	our	our	PRON
cana-1817	306	12	model	model	NOUN
cana-1817	306	13	.	.	PUNCT
cana-1817	307	1	further	far	ADV
cana-1817	307	2	,	,	PUNCT
cana-1817	307	3	we	we	PRON
cana-1817	307	4	have	have	AUX
cana-1817	307	5	used	use	VERB
cana-1817	307	6	dice	dice	NOUN
cana-1817	307	7	score	score	NOUN
cana-1817	307	8	(	(	PUNCT
cana-1817	307	9	dsc	dsc	NOUN
cana-1817	307	10	)	)	PUNCT
cana-1817	307	11	,	,	PUNCT
cana-1817	307	12	precision	precision	NOUN
cana-1817	307	13	(	(	PUNCT
cana-1817	307	14	pr	pr	NOUN
cana-1817	307	15	)	)	PUNCT
cana-1817	307	16	,	,	PUNCT
cana-1817	307	17	accuracy	accuracy	NOUN
cana-1817	307	18	(	(	PUNCT
cana-1817	307	19	acc	acc	PROPN
cana-1817	307	20	)	)	PUNCT
cana-1817	307	21	and	and	CCONJ
cana-1817	307	22	f	f	X
cana-1817	307	23	-	-	PUNCT
cana-1817	307	24	score	score	NOUN
cana-1817	307	25	(	(	PUNCT
cana-1817	307	26	fs	f	NOUN
cana-1817	307	27	)	)	PUNCT
cana-1817	307	28	to	to	PART
cana-1817	307	29	evaluate	evaluate	VERB
cana-1817	307	30	the	the	DET
cana-1817	307	31	proposed	propose	VERB
cana-1817	307	32	model	model	NOUN
cana-1817	307	33	.	.	PUNCT
cana-1817	308	1	the	the	DET
cana-1817	308	2	dsc	dsc	NOUN
cana-1817	308	3	is	be	AUX
cana-1817	308	4	used	use	VERB
cana-1817	308	5	to	to	PART
cana-1817	308	6	perform	perform	VERB
cana-1817	308	7	the	the	DET
cana-1817	308	8	comparative	comparative	ADJ
cana-1817	308	9	study	study	NOUN
cana-1817	308	10	of	of	ADP
cana-1817	308	11	existing	exist	VERB
cana-1817	308	12	studies	study	NOUN
cana-1817	308	13	in	in	ADP
cana-1817	308	14	literature	literature	NOUN
cana-1817	308	15	.	.	PUNCT
cana-1817	309	1	the	the	DET
cana-1817	309	2	key	key	ADJ
cana-1817	309	3	steps	step	NOUN
cana-1817	309	4	of	of	ADP
cana-1817	309	5	the	the	DET
cana-1817	309	6	first	first	ADJ
cana-1817	309	7	phase	phase	NOUN
cana-1817	309	8	include	include	VERB
cana-1817	309	9	initialization	initialization	NOUN
cana-1817	309	10	,	,	PUNCT
cana-1817	309	11	objective	objective	ADJ
cana-1817	309	12	function	function	NOUN
cana-1817	309	13	definition	definition	NOUN
cana-1817	309	14	,	,	PUNCT
cana-1817	309	15	updating	update	VERB
cana-1817	309	16	positions	position	NOUN
cana-1817	309	17	based	base	VERB
cana-1817	309	18	on	on	ADP
cana-1817	309	19	the	the	DET
cana-1817	309	20	fitness	fitness	NOUN
cana-1817	309	21	values	value	NOUN
cana-1817	309	22	of	of	ADP
cana-1817	309	23	alpha	alpha	NOUN
cana-1817	309	24	,	,	PUNCT
cana-1817	309	25	beta	beta	NOUN
cana-1817	309	26	,	,	PUNCT
cana-1817	309	27	and	and	CCONJ
cana-1817	309	28	delta	delta	NOUN
cana-1817	309	29	wolves	wolf	NOUN
cana-1817	309	30	,	,	PUNCT
cana-1817	309	31	and	and	CCONJ
cana-1817	309	32	dynamic	dynamic	ADJ
cana-1817	309	33	adjustment	adjustment	NOUN
cana-1817	309	34	of	of	ADP
cana-1817	309	35	weights	weight	NOUN
cana-1817	309	36	for	for	ADP
cana-1817	309	37	the	the	DET
cana-1817	309	38	search	search	NOUN
cana-1817	309	39	agents	agent	NOUN
cana-1817	309	40	.	.	PUNCT
cana-1817	310	1	the	the	DET
cana-1817	310	2	algorithm	algorithm	NOUN
cana-1817	310	3	aims	aim	VERB
cana-1817	310	4	to	to	PART
cana-1817	310	5	strike	strike	VERB
cana-1817	310	6	a	a	DET
cana-1817	310	7	balance	balance	NOUN
cana-1817	310	8	between	between	ADP
cana-1817	310	9	exploration	exploration	NOUN
cana-1817	310	10	and	and	CCONJ
cana-1817	310	11	exploitation	exploitation	NOUN
cana-1817	310	12	in	in	ADP
cana-1817	310	13	the	the	DET
cana-1817	310	14	search	search	NOUN
cana-1817	310	15	space	space	NOUN
cana-1817	310	16	,	,	PUNCT
cana-1817	310	17	adapting	adapt	VERB
cana-1817	310	18	its	its	PRON
cana-1817	310	19	behavior	behavior	NOUN
cana-1817	310	20	based	base	VERB
cana-1817	310	21	on	on	ADP
cana-1817	310	22	the	the	DET
cana-1817	310	23	fitness	fitness	NOUN
cana-1817	310	24	values	value	NOUN
cana-1817	310	25	encountered	encounter	VERB
cana-1817	310	26	during	during	ADP
cana-1817	310	27	optimization	optimization	NOUN
cana-1817	310	28	.	.	PUNCT
cana-1817	311	1	the	the	DET
cana-1817	311	2	experimental	experimental	ADJ
cana-1817	311	3	findings	finding	NOUN
cana-1817	311	4	on	on	ADP
cana-1817	311	5	architecture	architecture	NOUN
cana-1817	311	6	reveal	reveal	VERB
cana-1817	311	7	three	three	NUM
cana-1817	311	8	featured	feature	VERB
cana-1817	311	9	crucial	crucial	ADJ
cana-1817	311	10	modifications	modification	NOUN
cana-1817	311	11	that	that	PRON
cana-1817	311	12	significantly	significantly	ADV
cana-1817	311	13	contribute	contribute	VERB
cana-1817	311	14	to	to	ADP
cana-1817	311	15	the	the	DET
cana-1817	311	16	improvement	improvement	NOUN
cana-1817	311	17	in	in	ADP
cana-1817	311	18	dice	dice	NOUN
cana-1817	311	19	score	score	NOUN
cana-1817	311	20	.	.	PUNCT
cana-1817	312	1	firstly	firstly	ADV
cana-1817	312	2	,	,	PUNCT
cana-1817	312	3	the	the	DET
cana-1817	312	4	changes	change	NOUN
cana-1817	312	5	proposed	propose	VERB
cana-1817	312	6	in	in	ADP
cana-1817	312	7	coefficients	coefficient	NOUN
cana-1817	312	8	𝑎𝛼	𝑎𝛼	ADP
cana-1817	312	9	,	,	PUNCT
cana-1817	312	10	𝑎𝛽	𝑎𝛽	X
cana-1817	312	11	,	,	PUNCT
cana-1817	312	12	and	and	CCONJ
cana-1817	312	13	𝑎𝛿	𝑎𝛿	ADP
cana-1817	312	14	in	in	ADP
cana-1817	312	15	first	first	ADJ
cana-1817	312	16	phase	phase	NOUN
cana-1817	312	17	plays	play	VERB
cana-1817	312	18	a	a	DET
cana-1817	312	19	pivotal	pivotal	ADJ
cana-1817	312	20	role	role	NOUN
cana-1817	312	21	in	in	ADP
cana-1817	312	22	achieving	achieve	VERB
cana-1817	312	23	a	a	DET
cana-1817	312	24	more	more	ADJ
cana-1817	312	25	balance	balance	NOUN
cana-1817	312	26	between	between	ADP
cana-1817	312	27	exploration	exploration	NOUN
cana-1817	312	28	and	and	CCONJ
cana-1817	312	29	exploitation	exploitation	NOUN
cana-1817	312	30	of	of	ADP
cana-1817	312	31	the	the	DET
cana-1817	312	32	search	search	NOUN
cana-1817	312	33	space	space	NOUN
cana-1817	312	34	.	.	PUNCT
cana-1817	313	1	this	this	DET
cana-1817	313	2	adaptability	adaptability	NOUN
cana-1817	313	3	facilitates	facilitate	VERB
cana-1817	313	4	to	to	ADP
cana-1817	313	5	faster	fast	ADJ
cana-1817	313	6	convergence	convergence	NOUN
cana-1817	313	7	towards	towards	ADP
cana-1817	313	8	an	an	DET
cana-1817	313	9	optimal	optimal	ADJ
cana-1817	313	10	solution	solution	NOUN
cana-1817	313	11	.	.	PUNCT
cana-1817	314	1	the	the	DET
cana-1817	314	2	sinusoidal	sinusoidal	ADJ
cana-1817	314	3	function	function	NOUN
cana-1817	314	4	‘	'	PUNCT
cana-1817	314	5	sin(1	sin(1	NOUN
cana-1817	314	6	/	/	SYM
cana-1817	314	7	t_max	t_max	NOUN
cana-1817	314	8	)	)	PUNCT
cana-1817	314	9	’	'	PUNCT
cana-1817	314	10	introduces	introduce	VERB
cana-1817	314	11	a	a	DET
cana-1817	314	12	non	non	ADJ
cana-1817	314	13	-	-	ADJ
cana-1817	314	14	linear	linear	ADJ
cana-1817	314	15	component	component	NOUN
cana-1817	314	16	that	that	PRON
cana-1817	314	17	can	can	AUX
cana-1817	314	18	enhance	enhance	VERB
cana-1817	314	19	the	the	DET
cana-1817	314	20	robustness	robustness	NOUN
cana-1817	314	21	of	of	ADP
cana-1817	314	22	the	the	DET
cana-1817	314	23	algorithm	algorithm	NOUN
cana-1817	314	24	.	.	PUNCT
cana-1817	315	1	secondly	secondly	ADV
cana-1817	315	2	,	,	PUNCT
cana-1817	315	3	incorporation	incorporation	NOUN
cana-1817	315	4	of	of	ADP
cana-1817	315	5	dynamic	dynamic	ADJ
cana-1817	315	6	weights	weight	NOUN
cana-1817	315	7	𝑊1	𝑊1	PROPN
cana-1817	315	8	⃗⃗	⃗⃗	PROPN
cana-1817	315	9	⃗⃗	⃗⃗	PROPN
cana-1817	315	10	⃗	⃗	PROPN
cana-1817	315	11	,	,	PUNCT
cana-1817	315	12	𝑊2	𝑊2	PROPN
cana-1817	315	13	⃗⃗	⃗⃗	PROPN
cana-1817	315	14	⃗⃗	⃗⃗	PROPN
cana-1817	315	15	⃗	⃗	PROPN
cana-1817	315	16	,	,	PUNCT
cana-1817	315	17	𝑊3	𝑊3	PROPN
cana-1817	315	18	⃗⃗	⃗⃗	PROPN
cana-1817	315	19	⃗⃗	⃗⃗	PROPN
cana-1817	315	20	⃗	⃗	PROPN
cana-1817	315	21	allows	allow	VERB
cana-1817	315	22	the	the	DET
cana-1817	315	23	algorithm	algorithm	NOUN
cana-1817	315	24	to	to	PART
cana-1817	315	25	prioritize	prioritize	VERB
cana-1817	315	26	the	the	DET
cana-1817	315	27	positions	position	NOUN
cana-1817	315	28	of	of	ADP
cana-1817	315	29	wolves	wolf	NOUN
cana-1817	315	30	that	that	PRON
cana-1817	315	31	have	have	AUX
cana-1817	315	32	performed	perform	VERB
cana-1817	315	33	well	well	ADV
cana-1817	315	34	,	,	PUNCT
cana-1817	315	35	guiding	guide	VERB
cana-1817	315	36	the	the	DET
cana-1817	315	37	search	search	NOUN
cana-1817	315	38	towards	towards	ADP
cana-1817	315	39	promising	promising	ADJ
cana-1817	315	40	areas	area	NOUN
cana-1817	315	41	of	of	ADP
cana-1817	315	42	the	the	DET
cana-1817	315	43	solution	solution	NOUN
cana-1817	315	44	space	space	NOUN
cana-1817	315	45	.	.	PUNCT
cana-1817	316	1	the	the	DET
cana-1817	316	2	weights	weight	NOUN
cana-1817	316	3	𝑊1	𝑊1	PROPN
cana-1817	316	4	⃗⃗	⃗⃗	PROPN
cana-1817	316	5	⃗⃗	⃗⃗	PROPN
cana-1817	316	6	⃗	⃗	PROPN
cana-1817	316	7	,	,	PUNCT
cana-1817	316	8	𝑊2	𝑊2	PROPN
cana-1817	316	9	⃗⃗	⃗⃗	PROPN
cana-1817	316	10	⃗⃗	⃗⃗	PROPN
cana-1817	316	11	⃗	⃗	PROPN
cana-1817	316	12	,	,	PUNCT
cana-1817	316	13	𝑊3	𝑊3	PROPN
cana-1817	316	14	⃗⃗	⃗⃗	PROPN
cana-1817	316	15	⃗⃗	⃗⃗	PROPN
cana-1817	316	16	⃗	⃗	PROPN
cana-1817	316	17	ensure	ensure	VERB
cana-1817	316	18	a	a	DET
cana-1817	316	19	balanced	balanced	ADJ
cana-1817	316	20	influence	influence	NOUN
cana-1817	316	21	of	of	ADP
cana-1817	316	22	the	the	DET
cana-1817	316	23	alpha	alpha	NOUN
cana-1817	316	24	,	,	PUNCT
cana-1817	316	25	beta	beta	NOUN
cana-1817	316	26	,	,	PUNCT
cana-1817	316	27	and	and	CCONJ
cana-1817	316	28	delta	delta	NOUN
cana-1817	316	29	wolves	wolf	NOUN
cana-1817	316	30	.	.	PUNCT
cana-1817	317	1	in	in	ADP
cana-1817	317	2	the	the	DET
cana-1817	317	3	ablation	ablation	NOUN
cana-1817	317	4	study	study	NOUN
cana-1817	317	5	during	during	ADP
cana-1817	317	6	the	the	DET
cana-1817	317	7	second	second	ADJ
cana-1817	317	8	phase	phase	NOUN
cana-1817	317	9	,	,	PUNCT
cana-1817	317	10	it	it	PRON
cana-1817	317	11	becomes	become	VERB
cana-1817	317	12	evident	evident	ADJ
cana-1817	317	13	that	that	SCONJ
cana-1817	317	14	there	there	PRON
cana-1817	317	15	is	be	VERB
cana-1817	317	16	room	room	NOUN
cana-1817	317	17	for	for	ADP
cana-1817	317	18	improvement	improvement	NOUN
cana-1817	317	19	in	in	ADP
cana-1817	317	20	the	the	DET
cana-1817	317	21	existing	exist	VERB
cana-1817	317	22	x	x	ADJ
cana-1817	317	23	-	-	ADJ
cana-1817	317	24	net	net	ADJ
cana-1817	317	25	architecture	architecture	NOUN
cana-1817	317	26	when	when	SCONJ
cana-1817	317	27	applied	apply	VERB
cana-1817	317	28	to	to	ADP
cana-1817	317	29	our	our	PRON
cana-1817	317	30	dataset	dataset	NOUN
cana-1817	317	31	.	.	PUNCT
cana-1817	318	1	inspired	inspire	VERB
cana-1817	318	2	form	form	NOUN
cana-1817	318	3	densenet	densenet	NOUN
cana-1817	318	4	a	a	DET
cana-1817	318	5	thought	thought	NOUN
cana-1817	318	6	of	of	ADP
cana-1817	318	7	introducing	introduce	VERB
cana-1817	318	8	third	third	ADJ
cana-1817	318	9	crucial	crucial	ADJ
cana-1817	318	10	change	change	NOUN
cana-1817	318	11	i.e.	i.e.	X
cana-1817	318	12	dense	dense	ADJ
cana-1817	318	13	block	block	NOUN
cana-1817	318	14	to	to	ADP
cana-1817	318	15	existing	exist	VERB
cana-1817	318	16	xnet	xnet	PROPN
cana-1817	318	17	,	,	PUNCT
cana-1817	318	18	resulting	result	VERB
cana-1817	318	19	in	in	ADP
cana-1817	318	20	a	a	DET
cana-1817	318	21	notable	notable	ADJ
cana-1817	318	22	improvement	improvement	NOUN
cana-1817	318	23	in	in	ADP
cana-1817	318	24	the	the	DET
cana-1817	318	25	dice	dice	NOUN
cana-1817	318	26	score	score	NOUN
cana-1817	318	27	.	.	PUNCT
cana-1817	319	1	the	the	DET
cana-1817	319	2	model	model	NOUN
cana-1817	319	3	employs	employ	VERB
cana-1817	319	4	multi	multi	ADJ
cana-1817	319	5	-	-	ADJ
cana-1817	319	6	resolution	resolution	ADJ
cana-1817	319	7	dense	dense	ADJ
cana-1817	319	8	blocks	block	NOUN
cana-1817	319	9	,	,	PUNCT
cana-1817	319	10	which	which	PRON
cana-1817	319	11	are	be	AUX
cana-1817	319	12	instrumental	instrumental	ADJ
cana-1817	319	13	in	in	ADP
cana-1817	319	14	capturing	capture	VERB
cana-1817	319	15	features	feature	NOUN
cana-1817	319	16	at	at	ADP
cana-1817	319	17	different	different	ADJ
cana-1817	319	18	scales	scale	NOUN
cana-1817	319	19	and	and	CCONJ
cana-1817	319	20	able	able	ADJ
cana-1817	319	21	to	to	PART
cana-1817	319	22	capture	capture	VERB
cana-1817	319	23	the	the	DET
cana-1817	319	24	complex	complex	ADJ
cana-1817	319	25	relationship	relationship	NOUN
cana-1817	319	26	and	and	CCONJ
cana-1817	319	27	features	feature	NOUN
cana-1817	319	28	of	of	ADP
cana-1817	319	29	the	the	DET
cana-1817	319	30	organs	organ	NOUN
cana-1817	319	31	.	.	PUNCT
cana-1817	320	1	this	this	PRON
cana-1817	320	2	helps	help	VERB
cana-1817	320	3	to	to	PART
cana-1817	320	4	detect	detect	VERB
cana-1817	320	5	small	small	ADJ
cana-1817	320	6	organs	organ	NOUN
cana-1817	320	7	such	such	ADJ
cana-1817	320	8	as	as	ADP
cana-1817	320	9	aorta	aorta	NOUN
cana-1817	320	10	in	in	ADP
cana-1817	320	11	our	our	PRON
cana-1817	320	12	study	study	NOUN
cana-1817	320	13	.	.	PUNCT
cana-1817	321	1	down	down	ADV
cana-1817	321	2	-	-	PUNCT
cana-1817	321	3	sampling	sampling	NOUN
cana-1817	321	4	is	be	AUX
cana-1817	321	5	achieved	achieve	VERB
cana-1817	321	6	through	through	ADP
cana-1817	321	7	max	max	PROPN
cana-1817	321	8	-	-	PUNCT
cana-1817	321	9	pooling	pool	VERB
cana-1817	321	10	layers	layer	NOUN
cana-1817	321	11	after	after	ADP
cana-1817	321	12	each	each	DET
cana-1817	321	13	dense	dense	ADJ
cana-1817	321	14	block	block	NOUN
cana-1817	321	15	,	,	PUNCT
cana-1817	321	16	allowing	allow	VERB
cana-1817	321	17	the	the	DET
cana-1817	321	18	model	model	NOUN
cana-1817	321	19	to	to	PART
cana-1817	321	20	focus	focus	VERB
cana-1817	321	21	on	on	ADP
cana-1817	321	22	higher	high	ADJ
cana-1817	321	23	-	-	PUNCT
cana-1817	321	24	level	level	NOUN
cana-1817	321	25	features	feature	NOUN
cana-1817	321	26	.	.	PUNCT
cana-1817	322	1	combining	combine	VERB
cana-1817	322	2	the	the	DET
cana-1817	322	3	advancements	advancement	NOUN
cana-1817	322	4	from	from	ADP
cana-1817	322	5	the	the	DET
cana-1817	322	6	first	first	ADJ
cana-1817	322	7	and	and	CCONJ
cana-1817	322	8	second	second	ADJ
cana-1817	322	9	phases	phase	NOUN
cana-1817	322	10	,	,	PUNCT
cana-1817	322	11	the	the	DET
cana-1817	322	12	proposed	propose	VERB
cana-1817	322	13	approach	approach	NOUN
cana-1817	322	14	yields	yield	NOUN
cana-1817	322	15	mean	mean	VERB
cana-1817	322	16	values	value	NOUN
cana-1817	322	17	of	of	ADP
cana-1817	322	18	precision	precision	NOUN
cana-1817	322	19	,	,	PUNCT
cana-1817	322	20	accuracy	accuracy	NOUN
cana-1817	322	21	,	,	PUNCT
cana-1817	322	22	f	f	X
cana-1817	322	23	-	-	PUNCT
cana-1817	322	24	score	score	NOUN
cana-1817	322	25	,	,	PUNCT
cana-1817	322	26	and	and	CCONJ
cana-1817	322	27	dice	dice	NOUN
cana-1817	322	28	similarity	similarity	NOUN
cana-1817	322	29	coefficient	coefficient	NOUN
cana-1817	322	30	(	(	PUNCT
cana-1817	322	31	dsc	dsc	NOUN
cana-1817	322	32	)	)	PUNCT
cana-1817	322	33	as	as	ADP
cana-1817	322	34	95.05	95.05	NUM
cana-1817	322	35	%	%	NOUN
cana-1817	322	36	,	,	PUNCT
cana-1817	322	37	95.55	95.55	NUM
cana-1817	322	38	%	%	NOUN
cana-1817	322	39	,	,	PUNCT
cana-1817	322	40	95.29	95.29	NUM
cana-1817	322	41	%	%	NOUN
cana-1817	322	42	,	,	PUNCT
cana-1817	322	43	and	and	CCONJ
cana-1817	322	44	96.06	96.06	NUM
cana-1817	322	45	%	%	NOUN
cana-1817	322	46	,	,	PUNCT
cana-1817	322	47	respectively	respectively	ADV
cana-1817	322	48	,	,	PUNCT
cana-1817	322	49	as	as	SCONJ
cana-1817	322	50	presented	present	VERB
cana-1817	322	51	in	in	ADP
cana-1817	322	52	the	the	DET
cana-1817	322	53	table	table	NOUN
cana-1817	322	54	.	.	PUNCT
cana-1817	323	1	communications	communication	NOUN
cana-1817	323	2	on	on	ADP
cana-1817	323	3	applied	apply	VERB
cana-1817	323	4	nonlinear	nonlinear	ADJ
cana-1817	323	5	analysis	analysis	NOUN
cana-1817	323	6	issn	issn	NOUN
cana-1817	323	7	:	:	PUNCT
cana-1817	323	8	1074	1074	NUM
cana-1817	323	9	-	-	PUNCT
cana-1817	323	10	133x	133x	NUM
cana-1817	323	11	vol	vol	NOUN
cana-1817	323	12	32	32	NUM
cana-1817	323	13	no	no	NOUN
cana-1817	323	14	.	.	NOUN
cana-1817	323	15	2	2	NUM
cana-1817	323	16	(	(	PUNCT
cana-1817	323	17	2025	2025	NUM
cana-1817	323	18	)	)	PUNCT
cana-1817	323	19	577	577	NUM
cana-1817	323	20	the	the	DET
cana-1817	323	21	relative	relative	ADJ
cana-1817	323	22	improvement	improvement	NOUN
cana-1817	323	23	in	in	ADP
cana-1817	323	24	dice	dice	NOUN
cana-1817	323	25	score	score	NOUN
cana-1817	323	26	of	of	ADP
cana-1817	323	27	liver	liver	NOUN
cana-1817	323	28	,	,	PUNCT
cana-1817	323	29	aorta	aorta	NOUN
cana-1817	323	30	and	and	CCONJ
cana-1817	323	31	spleen	spleen	VERB
cana-1817	323	32	with	with	ADP
cana-1817	323	33	respect	respect	NOUN
cana-1817	323	34	to	to	ADP
cana-1817	323	35	the	the	DET
cana-1817	323	36	baseline	baseline	NOUN
cana-1817	323	37	x	x	NOUN
cana-1817	323	38	-	-	ADJ
cana-1817	323	39	net	net	ADJ
cana-1817	323	40	is	be	AUX
cana-1817	323	41	shown	show	VERB
cana-1817	323	42	in	in	ADP
cana-1817	323	43	fig	fig	NOUN
cana-1817	323	44	7	7	NUM
cana-1817	323	45	.	.	PUNCT
cana-1817	324	1	it	it	PRON
cana-1817	324	2	can	can	AUX
cana-1817	324	3	be	be	AUX
cana-1817	324	4	observed	observe	VERB
cana-1817	324	5	from	from	ADP
cana-1817	324	6	the	the	DET
cana-1817	324	7	figure	figure	NOUN
cana-1817	324	8	7	7	NUM
cana-1817	324	9	and	and	CCONJ
cana-1817	324	10	table	table	NOUN
cana-1817	324	11	5	5	NUM
cana-1817	324	12	that	that	SCONJ
cana-1817	324	13	the	the	DET
cana-1817	324	14	inclusion	inclusion	NOUN
cana-1817	324	15	of	of	ADP
cana-1817	324	16	both	both	CCONJ
cana-1817	324	17	the	the	DET
cana-1817	324	18	phases	phase	NOUN
cana-1817	324	19	impacts	impact	VERB
cana-1817	324	20	the	the	DET
cana-1817	324	21	dsc	dsc	NOUN
cana-1817	324	22	hence	hence	ADV
cana-1817	324	23	makes	make	VERB
cana-1817	324	24	it	it	PRON
cana-1817	324	25	mandatory	mandatory	ADJ
cana-1817	324	26	for	for	ADP
cana-1817	324	27	the	the	DET
cana-1817	324	28	required	require	VERB
cana-1817	324	29	efficiency	efficiency	NOUN
cana-1817	324	30	.	.	PUNCT
cana-1817	325	1	the	the	DET
cana-1817	325	2	dsc	dsc	NOUN
cana-1817	325	3	score	score	NOUN
cana-1817	325	4	achieved	achieve	VERB
cana-1817	325	5	for	for	ADP
cana-1817	325	6	liver	liver	NOUN
cana-1817	325	7	,	,	PUNCT
cana-1817	325	8	aorta	aorta	NOUN
cana-1817	325	9	and	and	CCONJ
cana-1817	325	10	spleen	spleen	VERB
cana-1817	325	11	with	with	ADP
cana-1817	325	12	the	the	DET
cana-1817	325	13	proposed	propose	VERB
cana-1817	325	14	model	model	NOUN
cana-1817	325	15	is	be	AUX
cana-1817	325	16	0.904670	0.904670	NUM
cana-1817	325	17	,	,	PUNCT
cana-1817	325	18	0.993811	0.993811	NUM
cana-1817	325	19	,	,	PUNCT
cana-1817	325	20	and	and	CCONJ
cana-1817	325	21	0.983357	0.983357	NUM
cana-1817	325	22	respectively	respectively	ADV
cana-1817	325	23	.	.	PUNCT
cana-1817	326	1	the	the	DET
cana-1817	326	2	results	result	NOUN
cana-1817	326	3	show	show	VERB
cana-1817	326	4	that	that	SCONJ
cana-1817	326	5	there	there	PRON
cana-1817	326	6	is	be	VERB
cana-1817	326	7	huge	huge	ADJ
cana-1817	326	8	improvement	improvement	NOUN
cana-1817	326	9	from	from	ADP
cana-1817	326	10	the	the	DET
cana-1817	326	11	baseline	baseline	NOUN
cana-1817	326	12	x	x	NOUN
cana-1817	326	13	-	-	NOUN
cana-1817	326	14	net	net	ADJ
cana-1817	326	15	in	in	ADP
cana-1817	326	16	dsc	dsc	NOUN
cana-1817	326	17	of	of	ADP
cana-1817	326	18	liver	liver	NOUN
cana-1817	326	19	however	however	ADV
cana-1817	326	20	the	the	DET
cana-1817	326	21	percentage	percentage	NOUN
cana-1817	326	22	increase	increase	NOUN
cana-1817	326	23	in	in	ADP
cana-1817	326	24	performance	performance	NOUN
cana-1817	326	25	for	for	ADP
cana-1817	326	26	aorta	aorta	NOUN
cana-1817	326	27	and	and	CCONJ
cana-1817	326	28	spleen	spleen	NOUN
cana-1817	326	29	is	be	AUX
cana-1817	326	30	1.79	1.79	NUM
cana-1817	326	31	%	%	NOUN
cana-1817	326	32	and	and	CCONJ
cana-1817	326	33	0.76	0.76	NUM
cana-1817	326	34	%	%	NOUN
cana-1817	326	35	respectively	respectively	ADV
cana-1817	326	36	.	.	PUNCT
cana-1817	327	1	further	far	ADV
cana-1817	327	2	,	,	PUNCT
cana-1817	327	3	when	when	SCONJ
cana-1817	327	4	the	the	DET
cana-1817	327	5	results	result	NOUN
cana-1817	327	6	are	be	AUX
cana-1817	327	7	compared	compare	VERB
cana-1817	327	8	with	with	ADP
cana-1817	327	9	the	the	DET
cana-1817	327	10	competing	compete	VERB
cana-1817	327	11	methods	method	NOUN
cana-1817	327	12	in	in	ADP
cana-1817	327	13	table	table	NOUN
cana-1817	327	14	4	4	NUM
cana-1817	327	15	and	and	CCONJ
cana-1817	327	16	fig	fig	NOUN
cana-1817	327	17	6	6	NUM
cana-1817	327	18	,	,	PUNCT
cana-1817	327	19	it	it	PRON
cana-1817	327	20	is	be	AUX
cana-1817	327	21	noteworthy	noteworthy	ADJ
cana-1817	327	22	that	that	SCONJ
cana-1817	327	23	competing	compete	VERB
cana-1817	327	24	methods	method	NOUN
cana-1817	327	25	such	such	ADJ
cana-1817	327	26	as	as	ADP
cana-1817	327	27	[	[	X
cana-1817	327	28	34	34	NUM
cana-1817	327	29	]	]	PUNCT
cana-1817	327	30	,	,	PUNCT
cana-1817	327	31	[	[	X
cana-1817	327	32	46	46	NUM
cana-1817	327	33	]	]	PUNCT
cana-1817	327	34	,	,	PUNCT
cana-1817	327	35	[	[	X
cana-1817	327	36	47	47	NUM
cana-1817	327	37	]	]	PUNCT
cana-1817	327	38	and	and	CCONJ
cana-1817	327	39	[	[	X
cana-1817	327	40	48	48	NUM
cana-1817	327	41	]	]	PUNCT
cana-1817	327	42	exhibit	exhibit	VERB
cana-1817	327	43	a	a	DET
cana-1817	327	44	superior	superior	ADJ
cana-1817	327	45	dice	dice	NOUN
cana-1817	327	46	similarity	similarity	NOUN
cana-1817	327	47	coefficient	coefficient	NOUN
cana-1817	327	48	(	(	PUNCT
cana-1817	327	49	dsc	dsc	NOUN
cana-1817	327	50	)	)	PUNCT
cana-1817	327	51	score	score	NOUN
cana-1817	327	52	for	for	ADP
cana-1817	327	53	the	the	DET
cana-1817	327	54	liver	liver	NOUN
cana-1817	327	55	compared	compare	VERB
cana-1817	327	56	to	to	ADP
cana-1817	327	57	the	the	DET
cana-1817	327	58	proposed	propose	VERB
cana-1817	327	59	approach	approach	NOUN
cana-1817	327	60	.	.	PUNCT
cana-1817	328	1	however	however	ADV
cana-1817	328	2	,	,	PUNCT
cana-1817	328	3	the	the	DET
cana-1817	328	4	dsc	dsc	NOUN
cana-1817	328	5	scores	score	NOUN
cana-1817	328	6	for	for	ADP
cana-1817	328	7	the	the	DET
cana-1817	328	8	aorta	aorta	NOUN
cana-1817	328	9	and	and	CCONJ
cana-1817	328	10	spleen	spleen	NOUN
cana-1817	328	11	are	be	AUX
cana-1817	328	12	higher	high	ADJ
cana-1817	328	13	in	in	ADP
cana-1817	328	14	our	our	PRON
cana-1817	328	15	proposed	propose	VERB
cana-1817	328	16	model	model	NOUN
cana-1817	328	17	than	than	ADP
cana-1817	328	18	in	in	ADP
cana-1817	328	19	the	the	DET
cana-1817	328	20	competing	compete	VERB
cana-1817	328	21	methods	method	NOUN
cana-1817	328	22	.	.	PUNCT
cana-1817	329	1	6.2	6.2	NUM
cana-1817	329	2	limitations	limitation	NOUN
cana-1817	329	3	the	the	DET
cana-1817	329	4	qualitative	qualitative	ADJ
cana-1817	329	5	results	result	NOUN
cana-1817	329	6	of	of	ADP
cana-1817	329	7	segmentation	segmentation	NOUN
cana-1817	329	8	of	of	ADP
cana-1817	329	9	liver	liver	NOUN
cana-1817	329	10	,	,	PUNCT
cana-1817	329	11	aorta	aorta	NOUN
cana-1817	329	12	and	and	CCONJ
cana-1817	329	13	spleen	spleen	PROPN
cana-1817	329	14	are	be	AUX
cana-1817	329	15	illustrated	illustrate	VERB
cana-1817	329	16	in	in	ADP
cana-1817	329	17	table	table	NOUN
cana-1817	329	18	4	4	NUM
cana-1817	329	19	.	.	PUNCT
cana-1817	330	1	in	in	ADP
cana-1817	330	2	case	case	NOUN
cana-1817	330	3	1	1	NUM
cana-1817	330	4	and	and	CCONJ
cana-1817	330	5	2	2	NUM
cana-1817	330	6	,	,	PUNCT
cana-1817	330	7	the	the	DET
cana-1817	330	8	true	true	ADJ
cana-1817	330	9	positive	positive	ADJ
cana-1817	330	10	(	(	PUNCT
cana-1817	330	11	tp	tp	NOUN
cana-1817	330	12	)	)	PUNCT
cana-1817	330	13	and	and	CCONJ
cana-1817	330	14	false	false	ADJ
cana-1817	330	15	negative	negative	ADJ
cana-1817	330	16	(	(	PUNCT
cana-1817	330	17	fn	fn	NOUN
cana-1817	330	18	)	)	PUNCT
cana-1817	330	19	scenario	scenario	NOUN
cana-1817	330	20	is	be	AUX
cana-1817	330	21	depicted	depict	VERB
cana-1817	330	22	,	,	PUNCT
cana-1817	330	23	representing	represent	VERB
cana-1817	330	24	the	the	DET
cana-1817	330	25	best	good	ADJ
cana-1817	330	26	results	result	NOUN
cana-1817	330	27	where	where	SCONJ
cana-1817	330	28	all	all	DET
cana-1817	330	29	three	three	NUM
cana-1817	330	30	organs	organ	NOUN
cana-1817	330	31	are	be	AUX
cana-1817	330	32	segmented	segment	VERB
cana-1817	330	33	accurately	accurately	ADV
cana-1817	330	34	.	.	PUNCT
cana-1817	331	1	however	however	ADV
cana-1817	331	2	,	,	PUNCT
cana-1817	331	3	it	it	PRON
cana-1817	331	4	is	be	AUX
cana-1817	331	5	crucial	crucial	ADJ
cana-1817	331	6	to	to	PART
cana-1817	331	7	note	note	VERB
cana-1817	331	8	that	that	SCONJ
cana-1817	331	9	the	the	DET
cana-1817	331	10	proposed	propose	VERB
cana-1817	331	11	model	model	NOUN
cana-1817	331	12	,	,	PUNCT
cana-1817	331	13	while	while	SCONJ
cana-1817	331	14	promising	promise	VERB
cana-1817	331	15	,	,	PUNCT
cana-1817	331	16	is	be	AUX
cana-1817	331	17	not	not	PART
cana-1817	331	18	flawless	flawless	ADJ
cana-1817	331	19	.	.	PUNCT
cana-1817	332	1	in	in	ADP
cana-1817	332	2	case	case	NOUN
cana-1817	332	3	3	3	NUM
cana-1817	332	4	and	and	CCONJ
cana-1817	332	5	4	4	NUM
cana-1817	332	6	,	,	PUNCT
cana-1817	332	7	the	the	DET
cana-1817	332	8	false	false	ADJ
cana-1817	332	9	positive	positive	ADJ
cana-1817	332	10	(	(	PUNCT
cana-1817	332	11	fp	fp	X
cana-1817	332	12	)	)	PUNCT
cana-1817	332	13	situation	situation	NOUN
cana-1817	332	14	is	be	AUX
cana-1817	332	15	presented	present	VERB
cana-1817	332	16	,	,	PUNCT
cana-1817	332	17	with	with	ADP
cana-1817	332	18	red	red	ADJ
cana-1817	332	19	squares	square	NOUN
cana-1817	332	20	and	and	CCONJ
cana-1817	332	21	outline	outline	NOUN
cana-1817	332	22	highlighting	highlight	VERB
cana-1817	332	23	the	the	DET
cana-1817	332	24	fp	fp	ADJ
cana-1817	332	25	pixels	pixel	NOUN
cana-1817	332	26	in	in	ADP
cana-1817	332	27	the	the	DET
cana-1817	332	28	image	image	NOUN
cana-1817	332	29	.	.	PUNCT
cana-1817	333	1	this	this	PRON
cana-1817	333	2	indicates	indicate	VERB
cana-1817	333	3	instances	instance	NOUN
cana-1817	333	4	where	where	SCONJ
cana-1817	333	5	the	the	DET
cana-1817	333	6	liver	liver	NOUN
cana-1817	333	7	is	be	AUX
cana-1817	333	8	not	not	PART
cana-1817	333	9	segmented	segment	VERB
cana-1817	333	10	accurately	accurately	ADV
cana-1817	333	11	,	,	PUNCT
cana-1817	333	12	and	and	CCONJ
cana-1817	333	13	some	some	DET
cana-1817	333	14	pixels	pixel	NOUN
cana-1817	333	15	that	that	PRON
cana-1817	333	16	should	should	AUX
cana-1817	333	17	be	be	AUX
cana-1817	333	18	negative	negative	ADJ
cana-1817	333	19	are	be	AUX
cana-1817	333	20	erroneously	erroneously	ADV
cana-1817	333	21	classified	classify	VERB
cana-1817	333	22	as	as	ADP
cana-1817	333	23	positive	positive	ADJ
cana-1817	333	24	.	.	PUNCT
cana-1817	334	1	consequently	consequently	ADV
cana-1817	334	2	,	,	PUNCT
cana-1817	334	3	these	these	DET
cana-1817	334	4	fp	fp	ADJ
cana-1817	334	5	cases	case	NOUN
cana-1817	334	6	for	for	ADP
cana-1817	334	7	the	the	DET
cana-1817	334	8	liver	liver	NOUN
cana-1817	334	9	contribute	contribute	VERB
cana-1817	334	10	to	to	ADP
cana-1817	334	11	degradation	degradation	NOUN
cana-1817	334	12	in	in	ADP
cana-1817	334	13	the	the	DET
cana-1817	334	14	mean	mean	ADJ
cana-1817	334	15	dice	dice	NOUN
cana-1817	334	16	of	of	ADP
cana-1817	334	17	the	the	DET
cana-1817	334	18	proposed	propose	VERB
cana-1817	334	19	model	model	NOUN
cana-1817	334	20	.	.	PUNCT
cana-1817	335	1	this	this	DET
cana-1817	335	2	observed	observed	ADJ
cana-1817	335	3	limitation	limitation	NOUN
cana-1817	335	4	may	may	AUX
cana-1817	335	5	arise	arise	VERB
cana-1817	335	6	from	from	ADP
cana-1817	335	7	the	the	DET
cana-1817	335	8	architecture	architecture	NOUN
cana-1817	335	9	's	's	PART
cana-1817	335	10	inability	inability	NOUN
cana-1817	335	11	to	to	PART
cana-1817	335	12	capture	capture	VERB
cana-1817	335	13	intricate	intricate	ADJ
cana-1817	335	14	features	feature	NOUN
cana-1817	335	15	of	of	ADP
cana-1817	335	16	the	the	DET
cana-1817	335	17	liver	liver	NOUN
cana-1817	335	18	comprehensively	comprehensively	ADV
cana-1817	335	19	.	.	PUNCT
cana-1817	336	1	considering	consider	VERB
cana-1817	336	2	a	a	DET
cana-1817	336	3	more	more	ADV
cana-1817	336	4	advanced	advanced	ADJ
cana-1817	336	5	architecture	architecture	NOUN
cana-1817	336	6	,	,	PUNCT
cana-1817	336	7	such	such	ADJ
cana-1817	336	8	as	as	ADP
cana-1817	336	9	u	u	NOUN
cana-1817	336	10	-	-	NOUN
cana-1817	336	11	net++	net++	PROPN
cana-1817	336	12	,	,	PUNCT
cana-1817	336	13	3d	3d	NUM
cana-1817	336	14	u	u	NOUN
cana-1817	336	15	-	-	NOUN
cana-1817	336	16	net	net	ADJ
cana-1817	336	17	,	,	PUNCT
cana-1817	336	18	or	or	CCONJ
cana-1817	336	19	similar	similar	ADJ
cana-1817	336	20	,	,	PUNCT
cana-1817	336	21	could	could	AUX
cana-1817	336	22	potentially	potentially	ADV
cana-1817	336	23	lead	lead	VERB
cana-1817	336	24	to	to	ADP
cana-1817	336	25	an	an	DET
cana-1817	336	26	improvement	improvement	NOUN
cana-1817	336	27	in	in	ADP
cana-1817	336	28	the	the	DET
cana-1817	336	29	dice	dice	NOUN
cana-1817	336	30	score	score	NOUN
cana-1817	336	31	by	by	ADP
cana-1817	336	32	better	well	ADV
cana-1817	336	33	capturing	capture	VERB
cana-1817	336	34	the	the	DET
cana-1817	336	35	detialed	detiale	VERB
cana-1817	336	36	features	feature	NOUN
cana-1817	336	37	of	of	ADP
cana-1817	336	38	the	the	DET
cana-1817	336	39	liver	liver	NOUN
cana-1817	336	40	.	.	PUNCT
cana-1817	337	1	the	the	DET
cana-1817	337	2	experiments	experiment	NOUN
cana-1817	337	3	are	be	AUX
cana-1817	337	4	conducted	conduct	VERB
cana-1817	337	5	focusing	focus	VERB
cana-1817	337	6	on	on	ADP
cana-1817	337	7	abdomen	abdomen	PROPN
cana-1817	337	8	ct	ct	PROPN
cana-1817	337	9	scans	scan	NOUN
cana-1817	337	10	and	and	CCONJ
cana-1817	337	11	three	three	NUM
cana-1817	337	12	specific	specific	ADJ
cana-1817	337	13	organs	organ	NOUN
cana-1817	337	14	.	.	PUNCT
cana-1817	338	1	the	the	DET
cana-1817	338	2	generalizability	generalizability	NOUN
cana-1817	338	3	of	of	ADP
cana-1817	338	4	the	the	DET
cana-1817	338	5	proposed	propose	VERB
cana-1817	338	6	approach	approach	NOUN
cana-1817	338	7	to	to	ADP
cana-1817	338	8	different	different	ADJ
cana-1817	338	9	datasets	dataset	NOUN
cana-1817	338	10	and	and	CCONJ
cana-1817	338	11	organ	organ	NOUN
cana-1817	338	12	systems	system	NOUN
cana-1817	338	13	needs	need	VERB
cana-1817	338	14	to	to	PART
cana-1817	338	15	be	be	AUX
cana-1817	338	16	explored	explore	VERB
cana-1817	338	17	.	.	PUNCT
cana-1817	339	1	the	the	DET
cana-1817	339	2	experimental	experimental	ADJ
cana-1817	339	3	setup	setup	NOUN
cana-1817	339	4	,	,	PUNCT
cana-1817	339	5	including	include	VERB
cana-1817	339	6	the	the	DET
cana-1817	339	7	use	use	NOUN
cana-1817	339	8	of	of	ADP
cana-1817	339	9	t4	t4	PROPN
cana-1817	339	10	gpu	gpu	PROPN
cana-1817	339	11	,	,	PUNCT
cana-1817	339	12	may	may	AUX
cana-1817	339	13	limit	limit	VERB
cana-1817	339	14	the	the	DET
cana-1817	339	15	accessibility	accessibility	NOUN
cana-1817	339	16	of	of	ADP
cana-1817	339	17	the	the	DET
cana-1817	339	18	proposed	propose	VERB
cana-1817	339	19	methodology	methodology	NOUN
cana-1817	339	20	to	to	ADP
cana-1817	339	21	researchers	researcher	NOUN
cana-1817	339	22	with	with	ADP
cana-1817	339	23	less	less	ADJ
cana-1817	339	24	computational	computational	ADJ
cana-1817	339	25	power	power	NOUN
cana-1817	339	26	.	.	PUNCT
cana-1817	340	1	6.3	6.3	NUM
cana-1817	340	2	future	future	ADJ
cana-1817	340	3	directions	direction	NOUN
cana-1817	340	4	firstly	firstly	ADV
cana-1817	340	5	,	,	PUNCT
cana-1817	340	6	our	our	PRON
cana-1817	340	7	current	current	ADJ
cana-1817	340	8	study	study	NOUN
cana-1817	340	9	excludes	exclude	VERB
cana-1817	340	10	pathological	pathological	ADJ
cana-1817	340	11	scans	scan	NOUN
cana-1817	340	12	,	,	PUNCT
cana-1817	340	13	such	such	ADJ
cana-1817	340	14	as	as	ADP
cana-1817	340	15	those	those	PRON
cana-1817	340	16	involving	involve	VERB
cana-1817	340	17	tumors	tumor	NOUN
cana-1817	340	18	or	or	CCONJ
cana-1817	340	19	lesions	lesion	NOUN
cana-1817	340	20	.	.	PUNCT
cana-1817	341	1	further	far	ADV
cana-1817	341	2	,	,	PUNCT
cana-1817	341	3	more	more	ADV
cana-1817	341	4	small	small	ADJ
cana-1817	341	5	organs	organ	NOUN
cana-1817	341	6	such	such	ADJ
cana-1817	341	7	as	as	ADP
cana-1817	341	8	pancreas	pancrea	NOUN
cana-1817	341	9	,	,	PUNCT
cana-1817	341	10	duodenum	duodenum	ADJ
cana-1817	341	11	and	and	CCONJ
cana-1817	341	12	esophagus	esophagus	NOUN
cana-1817	341	13	can	can	AUX
cana-1817	341	14	be	be	AUX
cana-1817	341	15	included	include	VERB
cana-1817	341	16	in	in	ADP
cana-1817	341	17	the	the	DET
cana-1817	341	18	future	future	NOUN
cana-1817	341	19	researches	research	NOUN
cana-1817	341	20	because	because	SCONJ
cana-1817	341	21	it	it	PRON
cana-1817	341	22	is	be	AUX
cana-1817	341	23	difficult	difficult	ADJ
cana-1817	341	24	to	to	PART
cana-1817	341	25	capture	capture	VERB
cana-1817	341	26	the	the	DET
cana-1817	341	27	complex	complex	ADJ
cana-1817	341	28	shapes	shape	NOUN
cana-1817	341	29	,	,	PUNCT
cana-1817	341	30	structures	structure	NOUN
cana-1817	341	31	and	and	CCONJ
cana-1817	341	32	spatial	spatial	ADJ
cana-1817	341	33	relationships	relationship	NOUN
cana-1817	341	34	.	.	PUNCT
cana-1817	342	1	in	in	ADP
cana-1817	342	2	future	future	ADJ
cana-1817	342	3	work	work	NOUN
cana-1817	342	4	,	,	PUNCT
cana-1817	342	5	we	we	PRON
cana-1817	342	6	are	be	AUX
cana-1817	342	7	actively	actively	ADV
cana-1817	342	8	engaged	engage	VERB
cana-1817	342	9	in	in	ADP
cana-1817	342	10	developing	develop	VERB
cana-1817	342	11	methodologies	methodology	NOUN
cana-1817	342	12	to	to	PART
cana-1817	342	13	address	address	VERB
cana-1817	342	14	the	the	DET
cana-1817	342	15	segmentation	segmentation	NOUN
cana-1817	342	16	of	of	ADP
cana-1817	342	17	these	these	DET
cana-1817	342	18	smaller	small	ADJ
cana-1817	342	19	organs	organ	NOUN
cana-1817	342	20	.	.	PUNCT
cana-1817	343	1	the	the	DET
cana-1817	343	2	existing	exist	VERB
cana-1817	343	3	literature	literature	NOUN
cana-1817	343	4	highlights	highlight	NOUN
cana-1817	343	5	that	that	PRON
cana-1817	343	6	techniques	technique	NOUN
cana-1817	343	7	based	base	VERB
cana-1817	343	8	on	on	ADP
cana-1817	343	9	2d	2d	NUM
cana-1817	343	10	models	model	NOUN
cana-1817	343	11	may	may	AUX
cana-1817	343	12	face	face	VERB
cana-1817	343	13	limitations	limitation	NOUN
cana-1817	343	14	in	in	ADP
cana-1817	343	15	capturing	capture	VERB
cana-1817	343	16	the	the	DET
cana-1817	343	17	full	full	ADJ
cana-1817	343	18	three	three	NUM
cana-1817	343	19	-	-	PUNCT
cana-1817	343	20	dimensional	dimensional	ADJ
cana-1817	343	21	information	information	NOUN
cana-1817	343	22	present	present	ADJ
cana-1817	343	23	in	in	ADP
cana-1817	343	24	ct	ct	PROPN
cana-1817	343	25	scans	scan	NOUN
cana-1817	343	26	.	.	PUNCT
cana-1817	344	1	therefore	therefore	ADV
cana-1817	344	2	,	,	PUNCT
cana-1817	344	3	adopting	adopt	VERB
cana-1817	344	4	more	more	ADV
cana-1817	344	5	advanced	advanced	ADJ
cana-1817	344	6	models	model	NOUN
cana-1817	344	7	such	such	ADJ
cana-1817	344	8	as	as	ADP
cana-1817	344	9	3d	3d	PROPN
cana-1817	344	10	unet	unet	NOUN
cana-1817	344	11	,	,	PUNCT
cana-1817	344	12	vision	vision	NOUN
cana-1817	344	13	transformer	transformer	NOUN
cana-1817	344	14	,	,	PUNCT
cana-1817	344	15	rexnet	rexnet	NOUN
cana-1817	344	16	,	,	PUNCT
cana-1817	344	17	among	among	ADP
cana-1817	344	18	others	other	NOUN
cana-1817	344	19	,	,	PUNCT
cana-1817	344	20	may	may	AUX
cana-1817	344	21	lead	lead	VERB
cana-1817	344	22	to	to	ADP
cana-1817	344	23	improved	improved	ADJ
cana-1817	344	24	dice	dice	NOUN
cana-1817	344	25	scores	score	NOUN
cana-1817	344	26	by	by	ADP
cana-1817	344	27	better	well	ADV
cana-1817	344	28	leveraging	leverage	VERB
cana-1817	344	29	the	the	DET
cana-1817	344	30	three	three	NUM
cana-1817	344	31	-	-	PUNCT
cana-1817	344	32	dimensional	dimensional	ADJ
cana-1817	344	33	context	context	NOUN
cana-1817	344	34	.	.	PUNCT
cana-1817	345	1	moreover	moreover	ADV
cana-1817	345	2	,	,	PUNCT
cana-1817	345	3	exploring	explore	VERB
cana-1817	345	4	ensemble	ensemble	ADJ
cana-1817	345	5	approaches	approach	NOUN
cana-1817	345	6	involving	involve	VERB
cana-1817	345	7	different	different	ADJ
cana-1817	345	8	segmentation	segmentation	NOUN
cana-1817	345	9	models	model	NOUN
cana-1817	345	10	or	or	CCONJ
cana-1817	345	11	variations	variation	NOUN
cana-1817	345	12	of	of	ADP
cana-1817	345	13	the	the	DET
cana-1817	345	14	proposed	propose	VERB
cana-1817	345	15	model	model	NOUN
cana-1817	345	16	could	could	AUX
cana-1817	345	17	further	far	ADV
cana-1817	345	18	enhance	enhance	VERB
cana-1817	345	19	accuracy	accuracy	NOUN
cana-1817	345	20	and	and	CCONJ
cana-1817	345	21	robustness	robustness	NOUN
cana-1817	345	22	.	.	PUNCT
cana-1817	346	1	ensemble	ensemble	ADJ
cana-1817	346	2	methods	method	NOUN
cana-1817	346	3	often	often	ADV
cana-1817	346	4	leverage	leverage	VERB
cana-1817	346	5	the	the	DET
cana-1817	346	6	diversity	diversity	NOUN
cana-1817	346	7	of	of	ADP
cana-1817	346	8	multiple	multiple	ADJ
cana-1817	346	9	models	model	NOUN
cana-1817	346	10	to	to	PART
cana-1817	346	11	achieve	achieve	VERB
cana-1817	346	12	more	more	ADV
cana-1817	346	13	reliable	reliable	ADJ
cana-1817	346	14	and	and	CCONJ
cana-1817	346	15	generalized	generalized	ADJ
cana-1817	346	16	segmentation	segmentation	NOUN
cana-1817	346	17	results	result	NOUN
cana-1817	346	18	.	.	PUNCT
cana-1817	347	1	refrences	refrence	VERB
cana-1817	348	1	[	[	X
cana-1817	348	2	1	1	X
cana-1817	348	3	]	]	PUNCT
cana-1817	348	4	e.	e.	PROPN
cana-1817	348	5	gibson	gibson	PROPN
cana-1817	348	6	et	et	PROPN
cana-1817	348	7	al	al	PROPN
cana-1817	348	8	.	.	PROPN
cana-1817	348	9	,	,	PUNCT
cana-1817	348	10	“	"	PUNCT
cana-1817	348	11	automatic	automatic	ADJ
cana-1817	348	12	multi	multi	ADJ
cana-1817	348	13	-	-	ADJ
cana-1817	348	14	organ	organ	ADJ
cana-1817	348	15	segmentation	segmentation	NOUN
cana-1817	348	16	on	on	ADP
cana-1817	348	17	abdominal	abdominal	ADJ
cana-1817	348	18	ct	ct	NOUN
cana-1817	348	19	with	with	ADP
cana-1817	348	20	dense	dense	ADJ
cana-1817	348	21	v	v	NOUN
cana-1817	348	22	-	-	PUNCT
cana-1817	348	23	networks	network	NOUN
cana-1817	348	24	,	,	PUNCT
cana-1817	348	25	”	"	PUNCT
cana-1817	348	26	ieee	ieee	NOUN
cana-1817	348	27	trans	tran	NOUN
cana-1817	348	28	.	.	PROPN
cana-1817	349	1	med	med	PROPN
cana-1817	349	2	.	.	PUNCT
cana-1817	349	3	imaging	imaging	PROPN
cana-1817	349	4	,	,	PUNCT
cana-1817	349	5	vol	vol	NOUN
cana-1817	349	6	.	.	PROPN
cana-1817	350	1	37	37	NUM
cana-1817	350	2	,	,	PUNCT
cana-1817	350	3	no	no	INTJ
cana-1817	350	4	.	.	NOUN
cana-1817	350	5	8	8	NUM
cana-1817	350	6	,	,	PUNCT
cana-1817	350	7	pp	pp	ADJ
cana-1817	350	8	.	.	PUNCT
cana-1817	351	1	1822–1834	1822–1834	NUM
cana-1817	351	2	,	,	PUNCT
cana-1817	351	3	2018	2018	NUM
cana-1817	351	4	,	,	PUNCT
cana-1817	351	5	doi	doi	NOUN
cana-1817	351	6	:	:	PUNCT
cana-1817	351	7	10.1109	10.1109	NUM
cana-1817	351	8	/	/	SYM
cana-1817	351	9	tmi.2018.2806309	tmi.2018.2806309	NOUN
cana-1817	351	10	.	.	PUNCT
cana-1817	352	1	[	[	X
cana-1817	352	2	2	2	NUM
cana-1817	352	3	]	]	PUNCT
cana-1817	352	4	a.	a.	NOUN
cana-1817	352	5	m.	m.	PROPN
cana-1817	352	6	ali	ali	PROPN
cana-1817	352	7	,	,	PUNCT
cana-1817	352	8	a.	a.	NOUN
cana-1817	352	9	a.	a.	NOUN
cana-1817	352	10	farag	farag	PROPN
cana-1817	352	11	,	,	PUNCT
cana-1817	352	12	and	and	CCONJ
cana-1817	352	13	a.	a.	PROPN
cana-1817	352	14	s.	s.	PROPN
cana-1817	352	15	el	el	PROPN
cana-1817	352	16	-	-	PUNCT
cana-1817	352	17	baz	baz	PROPN
cana-1817	352	18	,	,	PUNCT
cana-1817	352	19	“	"	PUNCT
cana-1817	352	20	graph	graph	NOUN
cana-1817	352	21	cuts	cut	NOUN
cana-1817	352	22	framework	framework	NOUN
cana-1817	352	23	for	for	ADP
cana-1817	352	24	kidney	kidney	NOUN
cana-1817	352	25	segmentation	segmentation	NOUN
cana-1817	352	26	with	with	ADP
cana-1817	352	27	prior	prior	ADJ
cana-1817	352	28	shape	shape	NOUN
cana-1817	352	29	communications	communication	NOUN
cana-1817	352	30	on	on	ADP
cana-1817	352	31	applied	apply	VERB
cana-1817	352	32	nonlinear	nonlinear	ADJ
cana-1817	352	33	analysis	analysis	NOUN
cana-1817	352	34	issn	issn	NOUN
cana-1817	352	35	:	:	PUNCT
cana-1817	352	36	1074	1074	NUM
cana-1817	352	37	-	-	PUNCT
cana-1817	352	38	133x	133x	NUM
cana-1817	352	39	vol	vol	NOUN
cana-1817	352	40	32	32	NUM
cana-1817	352	41	no	no	NOUN
cana-1817	352	42	.	.	NOUN
cana-1817	352	43	2	2	NUM
cana-1817	352	44	(	(	PUNCT
cana-1817	352	45	2025	2025	NUM
cana-1817	352	46	)	)	PUNCT
cana-1817	352	47	578	578	NUM
cana-1817	352	48	constraints	constraint	NOUN
cana-1817	352	49	,	,	PUNCT
cana-1817	352	50	”	"	PUNCT
cana-1817	352	51	med	me	VERB
cana-1817	352	52	.	.	PUNCT
cana-1817	352	53	image	image	NOUN
cana-1817	352	54	comput	comput	NOUN
cana-1817	352	55	.	.	PUNCT
cana-1817	353	1	comput	comput	NOUN
cana-1817	353	2	.	.	PUNCT
cana-1817	354	1	interv	interv	PROPN
cana-1817	354	2	.	.	PUNCT
cana-1817	355	1	–	–	PUNCT
cana-1817	355	2	miccai	miccai	NOUN
cana-1817	355	3	2007	2007	NUM
cana-1817	355	4	,	,	PUNCT
cana-1817	355	5	pp	pp	ADP
cana-1817	355	6	.	.	PUNCT
cana-1817	356	1	384–392	384–392	NUM
cana-1817	356	2	,	,	PUNCT
cana-1817	356	3	2007	2007	NUM
cana-1817	356	4	,	,	PUNCT
cana-1817	356	5	doi	doi	NOUN
cana-1817	356	6	:	:	PUNCT
cana-1817	356	7	10.1007/978	10.1007/978	NUM
cana-1817	356	8	-	-	SYM
cana-1817	356	9	3	3	NUM
cana-1817	356	10	-	-	PUNCT
cana-1817	356	11	54075757	54075757	NUM
cana-1817	356	12	-	-	SYM
cana-1817	356	13	3_47	3_47	NUM
cana-1817	356	14	.	.	PUNCT
cana-1817	357	1	[	[	X
cana-1817	357	2	3	3	X
cana-1817	357	3	]	]	X
cana-1817	357	4	u.	u.	PROPN
cana-1817	357	5	k.	k.	PROPN
cana-1817	357	6	acharya	acharya	PROPN
cana-1817	357	7	and	and	CCONJ
cana-1817	357	8	s.	s.	PROPN
cana-1817	357	9	kumar	kumar	PROPN
cana-1817	357	10	,	,	PUNCT
cana-1817	357	11	“	"	PUNCT
cana-1817	357	12	genetic	genetic	ADJ
cana-1817	357	13	algorithm	algorithm	NOUN
cana-1817	357	14	based	base	VERB
cana-1817	357	15	adaptive	adaptive	ADJ
cana-1817	357	16	histogram	histogram	NOUN
cana-1817	357	17	equalization	equalization	NOUN
cana-1817	357	18	(	(	PUNCT
cana-1817	357	19	gaahe	gaahe	NOUN
cana-1817	357	20	)	)	PUNCT
cana-1817	357	21	technique	technique	NOUN
cana-1817	357	22	for	for	ADP
cana-1817	357	23	medical	medical	ADJ
cana-1817	357	24	image	image	NOUN
cana-1817	357	25	enhancement	enhancement	NOUN
cana-1817	357	26	,	,	PUNCT
cana-1817	357	27	”	"	PUNCT
cana-1817	357	28	optik	optik	PROPN
cana-1817	357	29	(	(	PUNCT
cana-1817	357	30	stuttg	stuttg	ADJ
cana-1817	357	31	)	)	PUNCT
cana-1817	357	32	.	.	PUNCT
cana-1817	357	33	,	,	PUNCT
cana-1817	357	34	vol	vol	NOUN
cana-1817	357	35	.	.	PROPN
cana-1817	358	1	230	230	NUM
cana-1817	358	2	,	,	PUNCT
cana-1817	358	3	mar	mar	PROPN
cana-1817	358	4	.	.	PROPN
cana-1817	358	5	2021	2021	NUM
cana-1817	358	6	,	,	PUNCT
cana-1817	358	7	doi	doi	NOUN
cana-1817	358	8	:	:	PUNCT
cana-1817	358	9	10.1016	10.1016	NUM
cana-1817	358	10	/	/	SYM
cana-1817	358	11	j.ijleo.2021.166273	j.ijleo.2021.166273	PROPN
cana-1817	358	12	.	.	PUNCT
cana-1817	359	1	[	[	X
cana-1817	359	2	4	4	X
cana-1817	359	3	]	]	PUNCT
cana-1817	359	4	k.	k.	PROPN
cana-1817	359	5	t.	t.	PROPN
cana-1817	359	6	khudhair	khudhair	PROPN
cana-1817	359	7	,	,	PUNCT
cana-1817	359	8	f.	f.	PROPN
cana-1817	359	9	h.	h.	PROPN
cana-1817	359	10	najjar	najjar	PROPN
cana-1817	359	11	,	,	PUNCT
cana-1817	359	12	s.	s.	PROPN
cana-1817	359	13	r.	r.	PROPN
cana-1817	359	14	waheed	waheed	PROPN
cana-1817	359	15	,	,	PUNCT
cana-1817	359	16	h.	h.	PROPN
cana-1817	359	17	m.	m.	PROPN
cana-1817	359	18	al	al	PROPN
cana-1817	359	19	-	-	PUNCT
cana-1817	359	20	jawahry	jawahry	PROPN
cana-1817	359	21	,	,	PUNCT
cana-1817	359	22	h.	h.	PROPN
cana-1817	359	23	h.	h.	PROPN
cana-1817	359	24	alwan	alwan	PROPN
cana-1817	359	25	,	,	PUNCT
cana-1817	359	26	and	and	CCONJ
cana-1817	359	27	a.	a.	PROPN
cana-1817	359	28	al	al	PROPN
cana-1817	359	29	-	-	PUNCT
cana-1817	359	30	khaykan	khaykan	ADJ
cana-1817	359	31	,	,	PUNCT
cana-1817	359	32	“	"	PUNCT
cana-1817	359	33	a	a	DET
cana-1817	359	34	novel	novel	ADJ
cana-1817	359	35	medical	medical	ADJ
cana-1817	359	36	image	image	NOUN
cana-1817	359	37	enhancement	enhancement	NOUN
cana-1817	359	38	technique	technique	NOUN
cana-1817	359	39	based	base	VERB
cana-1817	359	40	on	on	ADP
cana-1817	359	41	hybrid	hybrid	ADJ
cana-1817	359	42	method	method	NOUN
cana-1817	359	43	,	,	PUNCT
cana-1817	359	44	”	"	PUNCT
cana-1817	359	45	in	in	ADP
cana-1817	359	46	journal	journal	NOUN
cana-1817	359	47	of	of	ADP
cana-1817	359	48	physics	physics	PROPN
cana-1817	359	49	:	:	PUNCT
cana-1817	359	50	conference	conference	NOUN
cana-1817	359	51	series	series	PROPN
cana-1817	359	52	,	,	PUNCT
cana-1817	359	53	institute	institute	PROPN
cana-1817	359	54	of	of	ADP
cana-1817	359	55	physics	physics	PROPN
cana-1817	359	56	,	,	PUNCT
cana-1817	359	57	2023	2023	NUM
cana-1817	359	58	.	.	PUNCT
cana-1817	360	1	doi	doi	NOUN
cana-1817	360	2	:	:	PUNCT
cana-1817	360	3	10.1088/1742	10.1088/1742	NUM
cana-1817	360	4	-	-	SYM
cana-1817	360	5	6596/2432/1/012021	6596/2432/1/012021	NUM
cana-1817	360	6	.	.	PUNCT
cana-1817	361	1	[	[	X
cana-1817	361	2	5	5	NUM
cana-1817	361	3	]	]	PUNCT
cana-1817	361	4	m.	m.	NOUN
cana-1817	361	5	w.	w.	PROPN
cana-1817	361	6	mirza	mirza	PROPN
cana-1817	361	7	,	,	PUNCT
cana-1817	361	8	a.	a.	NOUN
cana-1817	361	9	siddiq	siddiq	PROPN
cana-1817	361	10	,	,	PUNCT
cana-1817	361	11	and	and	CCONJ
cana-1817	361	12	i.	i.	PROPN
cana-1817	361	13	r.	r.	PROPN
cana-1817	361	14	khan	khan	PROPN
cana-1817	361	15	,	,	PUNCT
cana-1817	361	16	“	"	PUNCT
cana-1817	361	17	a	a	DET
cana-1817	361	18	comparative	comparative	ADJ
cana-1817	361	19	study	study	NOUN
cana-1817	361	20	of	of	ADP
cana-1817	361	21	medical	medical	ADJ
cana-1817	361	22	image	image	NOUN
cana-1817	361	23	enhancement	enhancement	NOUN
cana-1817	361	24	algorithms	algorithm	NOUN
cana-1817	361	25	and	and	CCONJ
cana-1817	361	26	quality	quality	NOUN
cana-1817	361	27	assessment	assessment	NOUN
cana-1817	361	28	metrics	metric	NOUN
cana-1817	361	29	on	on	ADP
cana-1817	361	30	covid-19	covid-19	PROPN
cana-1817	361	31	ct	ct	PROPN
cana-1817	361	32	images	image	NOUN
cana-1817	361	33	,	,	PUNCT
cana-1817	361	34	”	"	PUNCT
cana-1817	361	35	signal	signal	NOUN
cana-1817	361	36	,	,	PUNCT
cana-1817	361	37	image	image	NOUN
cana-1817	361	38	video	video	NOUN
cana-1817	361	39	process	process	NOUN
cana-1817	361	40	.	.	PUNCT
cana-1817	361	41	,	,	PUNCT
cana-1817	361	42	vol	vol	NOUN
cana-1817	361	43	.	.	PROPN
cana-1817	361	44	17	17	NUM
cana-1817	361	45	,	,	PUNCT
cana-1817	361	46	no	no	INTJ
cana-1817	361	47	.	.	NOUN
cana-1817	361	48	4	4	NUM
cana-1817	361	49	,	,	PUNCT
cana-1817	361	50	pp	pp	ADJ
cana-1817	361	51	.	.	PUNCT
cana-1817	362	1	915	915	NUM
cana-1817	362	2	–	–	PUNCT
cana-1817	362	3	924	924	NUM
cana-1817	362	4	,	,	PUNCT
cana-1817	362	5	jun	jun	PROPN
cana-1817	362	6	.	.	PROPN
cana-1817	362	7	2023	2023	NUM
cana-1817	362	8	,	,	PUNCT
cana-1817	362	9	doi	doi	NOUN
cana-1817	362	10	:	:	PUNCT
cana-1817	362	11	10.1007	10.1007	NUM
cana-1817	362	12	/	/	SYM
cana-1817	362	13	s11760	s11760	NOUN
cana-1817	362	14	-	-	PUNCT
cana-1817	362	15	022	022	NUM
cana-1817	362	16	-	-	PUNCT
cana-1817	362	17	02214	02214	NUM
cana-1817	362	18	-	-	SYM
cana-1817	362	19	2	2	NUM
cana-1817	362	20	.	.	PUNCT
cana-1817	363	1	[	[	X
cana-1817	363	2	6	6	NUM
cana-1817	363	3	]	]	PUNCT
cana-1817	363	4	“	"	PUNCT
cana-1817	363	5	k.	k.	PROPN
cana-1817	363	6	zuiderveld	zuiderveld	PROPN
cana-1817	363	7	,	,	PUNCT
cana-1817	363	8	"	"	PUNCT
cana-1817	363	9	viii.5	viii.5	PROPN
cana-1817	363	10	.	.	PROPN
cana-1817	363	11	contrast	contrast	NOUN
cana-1817	363	12	limited	limit	VERB
cana-1817	363	13	adaptive	adaptive	ADJ
cana-1817	363	14	histogram	histogram	NOUN
cana-1817	363	15	equalization	equalization	NOUN
cana-1817	363	16	"	"	PUNCT
cana-1817	363	17	,	,	PUNCT
cana-1817	363	18	editor(s	editor(s	PROPN
cana-1817	363	19	):	):	PUNCT
cana-1817	363	20	paul	paul	PROPN
cana-1817	363	21	s.	s.	PROPN
cana-1817	363	22	heckbert	heckbert	PROPN
cana-1817	363	23	,	,	PUNCT
cana-1817	363	24	graphics	graphic	NOUN
cana-1817	363	25	gems	gem	NOUN
cana-1817	363	26	,	,	PUNCT
cana-1817	363	27	academic	academic	ADJ
cana-1817	363	28	press	press	NOUN
cana-1817	363	29	,	,	PUNCT
cana-1817	363	30	pp	pp	ADJ
cana-1817	363	31	.	.	PUNCT
cana-1817	364	1	474	474	NUM
cana-1817	364	2	-	-	PUNCT
cana-1817	364	3	485	485	NUM
cana-1817	364	4	,	,	PUNCT
cana-1817	364	5	1994,isbn	1994,isbn	NUM
cana-1817	364	6	9780123361561	9780123361561	NUM
cana-1817	364	7	,	,	PUNCT
cana-1817	364	8	https://doi.org/10.1016/b978-0-12-336156-1.50061-6	https://doi.org/10.1016/b978-0-12-336156-1.50061-6	PROPN
cana-1817	364	9	.	.	PUNCT
cana-1817	365	1	[	[	X
cana-1817	365	2	7	7	X
cana-1817	365	3	]	]	X
cana-1817	365	4	s.	s.	PROPN
cana-1817	365	5	mirjalili	mirjalili	PROPN
cana-1817	365	6	,	,	PUNCT
cana-1817	365	7	s.	s.	PROPN
cana-1817	365	8	m.	m.	PROPN
cana-1817	365	9	mirjalili	mirjalili	PROPN
cana-1817	365	10	,	,	PUNCT
cana-1817	365	11	and	and	CCONJ
cana-1817	365	12	a.	a.	PROPN
cana-1817	365	13	lewis	lewis	PROPN
cana-1817	365	14	,	,	PUNCT
cana-1817	365	15	“	"	PUNCT
cana-1817	365	16	grey	grey	ADJ
cana-1817	365	17	wolf	wolf	PROPN
cana-1817	365	18	optimizer	optimizer	NOUN
cana-1817	365	19	,	,	PUNCT
cana-1817	365	20	”	"	PUNCT
cana-1817	365	21	advances	advance	NOUN
cana-1817	365	22	in	in	ADP
cana-1817	365	23	engineering	engineering	NOUN
cana-1817	365	24	software	software	NOUN
cana-1817	365	25	,	,	PUNCT
cana-1817	365	26	vol	vol	NOUN
cana-1817	365	27	.	.	PROPN
cana-1817	366	1	69	69	NUM
cana-1817	366	2	,	,	PUNCT
cana-1817	367	1	pp	pp	ADJ
cana-1817	367	2	.	.	PUNCT
cana-1817	368	1	46	46	NUM
cana-1817	368	2	-	-	SYM
cana-1817	368	3	61	61	NUM
cana-1817	368	4	,	,	PUNCT
cana-1817	368	5	2014	2014	NUM
cana-1817	368	6	,	,	PUNCT
cana-1817	368	7	issn	issn	PROPN
cana-1817	368	8	0965	0965	PROPN
cana-1817	368	9	-	-	SYM
cana-1817	368	10	9978	9978	NUM
cana-1817	368	11	,	,	PUNCT
cana-1817	368	12	https://doi.org/10.1016/j.advengsoft.2013.12.007	https://doi.org/10.1016/j.advengsoft.2013.12.007	NOUN
cana-1817	368	13	.	.	PUNCT
cana-1817	369	1	[	[	X
cana-1817	369	2	8	8	NUM
cana-1817	369	3	]	]	PUNCT
cana-1817	369	4	t.	t.	PROPN
cana-1817	369	5	tong	tong	PROPN
cana-1817	369	6	et	et	PROPN
cana-1817	369	7	al	al	PROPN
cana-1817	369	8	.	.	PROPN
cana-1817	369	9	,	,	PUNCT
cana-1817	369	10	“	"	PUNCT
cana-1817	369	11	discriminative	discriminative	NOUN
cana-1817	369	12	dictionary	dictionary	ADJ
cana-1817	369	13	learning	learning	NOUN
cana-1817	369	14	for	for	ADP
cana-1817	369	15	abdominal	abdominal	ADJ
cana-1817	369	16	multi	multi	ADJ
cana-1817	369	17	-	-	ADJ
cana-1817	369	18	organ	organ	ADJ
cana-1817	369	19	segmentation	segmentation	NOUN
cana-1817	369	20	,	,	PUNCT
cana-1817	369	21	”	"	PUNCT
cana-1817	369	22	med	me	VERB
cana-1817	369	23	.	.	PUNCT
cana-1817	369	24	image	image	PROPN
cana-1817	369	25	anal	anal	PROPN
cana-1817	369	26	.	.	PUNCT
cana-1817	369	27	,	,	PUNCT
cana-1817	369	28	vol	vol	NOUN
cana-1817	369	29	.	.	PROPN
cana-1817	369	30	23	23	NUM
cana-1817	369	31	,	,	PUNCT
cana-1817	369	32	no	no	INTJ
cana-1817	369	33	.	.	NOUN
cana-1817	369	34	1	1	NUM
cana-1817	369	35	,	,	PUNCT
cana-1817	369	36	pp	pp	ADJ
cana-1817	369	37	.	.	PUNCT
cana-1817	370	1	92–104	92–104	NOUN
cana-1817	370	2	,	,	PUNCT
cana-1817	370	3	2015	2015	NUM
cana-1817	370	4	,	,	PUNCT
cana-1817	370	5	doi	doi	NOUN
cana-1817	370	6	:	:	PUNCT
cana-1817	370	7	10.1016	10.1016	NUM
cana-1817	370	8	/	/	SYM
cana-1817	370	9	j.media.2015.04.015	j.media.2015.04.015	PROPN
cana-1817	370	10	.	.	PUNCT
cana-1817	371	1	[	[	X
cana-1817	371	2	9	9	NUM
cana-1817	371	3	]	]	PUNCT
cana-1817	371	4	z.	z.	PROPN
cana-1817	371	5	xu	xu	PROPN
cana-1817	371	6	et	et	PROPN
cana-1817	371	7	al	al	PROPN
cana-1817	371	8	.	.	PROPN
cana-1817	371	9	,	,	PUNCT
cana-1817	371	10	“	"	PUNCT
cana-1817	371	11	efficient	efficient	ADJ
cana-1817	371	12	multi	multi	ADJ
cana-1817	371	13	-	-	ADJ
cana-1817	371	14	atlas	atlas	ADJ
cana-1817	371	15	abdominal	abdominal	ADJ
cana-1817	371	16	segmentation	segmentation	NOUN
cana-1817	371	17	on	on	ADP
cana-1817	371	18	clinically	clinically	ADV
cana-1817	371	19	acquired	acquire	VERB
cana-1817	371	20	ct	ct	NUM
cana-1817	371	21	with	with	ADP
cana-1817	371	22	simple	simple	ADJ
cana-1817	371	23	context	context	NOUN
cana-1817	371	24	learning	learning	NOUN
cana-1817	371	25	,	,	PUNCT
cana-1817	371	26	”	"	PUNCT
cana-1817	371	27	med	me	VERB
cana-1817	371	28	.	.	PUNCT
cana-1817	371	29	image	image	PROPN
cana-1817	371	30	anal	anal	PROPN
cana-1817	371	31	.	.	PUNCT
cana-1817	371	32	,	,	PUNCT
cana-1817	371	33	vol	vol	NOUN
cana-1817	371	34	.	.	PROPN
cana-1817	371	35	24	24	NUM
cana-1817	371	36	,	,	PUNCT
cana-1817	371	37	no	no	INTJ
cana-1817	371	38	.	.	NOUN
cana-1817	371	39	1	1	NUM
cana-1817	371	40	,	,	PUNCT
cana-1817	371	41	pp	pp	ADJ
cana-1817	371	42	.	.	PUNCT
cana-1817	372	1	18–27	18–27	NUM
cana-1817	372	2	,	,	PUNCT
cana-1817	372	3	2015	2015	NUM
cana-1817	372	4	,	,	PUNCT
cana-1817	372	5	doi	doi	NOUN
cana-1817	372	6	:	:	PUNCT
cana-1817	372	7	10.1016	10.1016	NUM
cana-1817	372	8	/	/	SYM
cana-1817	372	9	j.media.2015.05.009	j.media.2015.05.009	PROPN
cana-1817	372	10	.	.	PUNCT
cana-1817	373	1	[	[	X
cana-1817	373	2	10	10	NUM
cana-1817	373	3	]	]	X
cana-1817	373	4	s.	s.	PROPN
cana-1817	373	5	saxena	saxena	PROPN
cana-1817	373	6	,	,	PUNCT
cana-1817	373	7	n.	n.	PROPN
cana-1817	373	8	sharma	sharma	PROPN
cana-1817	373	9	,	,	PUNCT
cana-1817	373	10	s.	s.	PROPN
cana-1817	373	11	sharma	sharma	PROPN
cana-1817	373	12	,	,	PUNCT
cana-1817	373	13	s.	s.	PROPN
cana-1817	373	14	singh	singh	PROPN
cana-1817	373	15	,	,	PUNCT
cana-1817	373	16	and	and	CCONJ
cana-1817	373	17	a.	a.	PROPN
cana-1817	373	18	verma	verma	PROPN
cana-1817	373	19	,	,	PUNCT
cana-1817	373	20	“	"	PUNCT
cana-1817	373	21	an	an	DET
cana-1817	373	22	automated	automate	VERB
cana-1817	373	23	system	system	NOUN
cana-1817	373	24	for	for	ADP
cana-1817	373	25	atlas	atlas	PROPN
cana-1817	373	26	based	base	VERB
cana-1817	373	27	multiple	multiple	ADJ
cana-1817	373	28	organ	organ	NOUN
cana-1817	373	29	segmentation	segmentation	NOUN
cana-1817	373	30	of	of	ADP
cana-1817	373	31	abdominal	abdominal	ADJ
cana-1817	373	32	ct	ct	NOUN
cana-1817	373	33	images	image	NOUN
cana-1817	373	34	,	,	PUNCT
cana-1817	373	35	”	"	PUNCT
cana-1817	373	36	br	br	PROPN
cana-1817	373	37	.	.	PUNCT
cana-1817	374	1	j.	j.	PROPN
cana-1817	374	2	math	math	PROPN
cana-1817	374	3	.	.	PUNCT
cana-1817	375	1	comput	comput	NOUN
cana-1817	375	2	.	.	PUNCT
cana-1817	376	1	sci	sci	PROPN
cana-1817	376	2	.	.	PROPN
cana-1817	376	3	,	,	PUNCT
cana-1817	376	4	vol	vol	NOUN
cana-1817	376	5	.	.	PROPN
cana-1817	376	6	12	12	NUM
cana-1817	376	7	,	,	PUNCT
cana-1817	376	8	no	no	INTJ
cana-1817	376	9	.	.	NOUN
cana-1817	376	10	1	1	NUM
cana-1817	376	11	,	,	PUNCT
cana-1817	376	12	pp	pp	PROPN
cana-1817	376	13	.	.	PUNCT
cana-1817	377	1	1–14	1–14	PROPN
cana-1817	377	2	,	,	PUNCT
cana-1817	377	3	2016	2016	NUM
cana-1817	377	4	,	,	PUNCT
cana-1817	377	5	doi	doi	NOUN
cana-1817	377	6	:	:	PUNCT
cana-1817	377	7	10.9734	10.9734	NUM
cana-1817	377	8	/	/	SYM
cana-1817	377	9	bjmcs/2016/20812	bjmcs/2016/20812	NOUN
cana-1817	377	10	.	.	PUNCT
cana-1817	378	1	[	[	X
cana-1817	378	2	11	11	NUM
cana-1817	378	3	]	]	X
cana-1817	378	4	y.	y.	PROPN
cana-1817	378	5	wang	wang	PROPN
cana-1817	378	6	,	,	PUNCT
cana-1817	378	7	y.	y.	PROPN
cana-1817	378	8	zhou	zhou	PROPN
cana-1817	378	9	,	,	PUNCT
cana-1817	378	10	w.	w.	PROPN
cana-1817	378	11	shen	shen	PROPN
cana-1817	378	12	,	,	PUNCT
cana-1817	378	13	s.	s.	PROPN
cana-1817	378	14	park	park	PROPN
cana-1817	378	15	,	,	PUNCT
cana-1817	378	16	e.	e.	PROPN
cana-1817	378	17	k.	k.	PROPN
cana-1817	378	18	fishman	fishman	PROPN
cana-1817	378	19	,	,	PUNCT
cana-1817	378	20	and	and	CCONJ
cana-1817	378	21	a.	a.	PROPN
cana-1817	378	22	l.	l.	PROPN
cana-1817	378	23	yuille	yuille	PROPN
cana-1817	378	24	,	,	PUNCT
cana-1817	378	25	“	"	PUNCT
cana-1817	378	26	abdominal	abdominal	ADJ
cana-1817	378	27	multi	multi	ADJ
cana-1817	378	28	-	-	ADJ
cana-1817	378	29	organ	organ	ADJ
cana-1817	378	30	segmentation	segmentation	NOUN
cana-1817	378	31	with	with	ADP
cana-1817	378	32	organ	organ	NOUN
cana-1817	378	33	-	-	PUNCT
cana-1817	378	34	attention	attention	NOUN
cana-1817	378	35	networks	network	NOUN
cana-1817	378	36	and	and	CCONJ
cana-1817	378	37	statistical	statistical	ADJ
cana-1817	378	38	fusion	fusion	NOUN
cana-1817	378	39	,	,	PUNCT
cana-1817	378	40	”	"	PUNCT
cana-1817	378	41	med	me	VERB
cana-1817	378	42	.	.	PUNCT
cana-1817	378	43	image	image	PROPN
cana-1817	378	44	anal	anal	PROPN
cana-1817	378	45	.	.	PUNCT
cana-1817	378	46	,	,	PUNCT
cana-1817	378	47	vol	vol	NOUN
cana-1817	378	48	.	.	PROPN
cana-1817	378	49	55	55	NUM
cana-1817	378	50	,	,	PUNCT
cana-1817	378	51	pp	pp	ADJ
cana-1817	378	52	.	.	PUNCT
cana-1817	379	1	88–102	88–102	NUM
cana-1817	379	2	,	,	PUNCT
cana-1817	379	3	2019	2019	NUM
cana-1817	379	4	,	,	PUNCT
cana-1817	379	5	doi	doi	NOUN
cana-1817	379	6	:	:	PUNCT
cana-1817	379	7	10.1016	10.1016	NUM
cana-1817	379	8	/	/	SYM
cana-1817	379	9	j.media.2019.04.005	j.media.2019.04.005	PROPN
cana-1817	379	10	.	.	PUNCT
cana-1817	380	1	[	[	X
cana-1817	380	2	12	12	NUM
cana-1817	380	3	]	]	X
cana-1817	380	4	s.	s.	PROPN
cana-1817	380	5	bai	bai	PROPN
cana-1817	380	6	,	,	PUNCT
cana-1817	380	7	x.	x.	PROPN
cana-1817	380	8	bai	bai	PROPN
cana-1817	380	9	,	,	PUNCT
cana-1817	380	10	z.	z.	PROPN
cana-1817	380	11	zhou	zhou	PROPN
cana-1817	380	12	,	,	PUNCT
cana-1817	380	13	z.	z.	PROPN
cana-1817	380	14	zhang	zhang	PROPN
cana-1817	380	15	,	,	PUNCT
cana-1817	380	16	q.	q.	PROPN
cana-1817	380	17	tian	tian	PROPN
cana-1817	380	18	,	,	PUNCT
cana-1817	380	19	and	and	CCONJ
cana-1817	380	20	l.	l.	PROPN
cana-1817	380	21	j.	j.	PROPN
cana-1817	380	22	latecki	latecki	PROPN
cana-1817	380	23	,	,	PUNCT
cana-1817	380	24	“	"	PUNCT
cana-1817	380	25	gift	gift	NOUN
cana-1817	380	26	:	:	PUNCT
cana-1817	380	27	towards	towards	ADP
cana-1817	380	28	scalable	scalable	ADJ
cana-1817	380	29	3d	3d	NUM
cana-1817	380	30	shape	shape	NOUN
cana-1817	380	31	retrieval	retrieval	NOUN
cana-1817	380	32	,	,	PUNCT
cana-1817	380	33	”	"	PUNCT
cana-1817	380	34	ieee	ieee	NOUN
cana-1817	380	35	trans	trans	PROPN
cana-1817	380	36	.	.	PUNCT
cana-1817	380	37	multimed	multimed	PROPN
cana-1817	380	38	.	.	PUNCT
cana-1817	381	1	,	,	PUNCT
cana-1817	381	2	vol	vol	NOUN
cana-1817	381	3	.	.	PROPN
cana-1817	382	1	19	19	NUM
cana-1817	382	2	,	,	PUNCT
cana-1817	382	3	no	no	INTJ
cana-1817	382	4	.	.	NOUN
cana-1817	382	5	6	6	NUM
cana-1817	382	6	,	,	PUNCT
cana-1817	382	7	pp	pp	ADJ
cana-1817	382	8	.	.	PUNCT
cana-1817	383	1	1257–1271	1257–1271	NUM
cana-1817	383	2	,	,	PUNCT
cana-1817	383	3	2017	2017	NUM
cana-1817	383	4	,	,	PUNCT
cana-1817	383	5	doi	doi	NOUN
cana-1817	383	6	:	:	PUNCT
cana-1817	383	7	10.1109	10.1109	NUM
cana-1817	383	8	/	/	SYM
cana-1817	383	9	tmm.2017.2652071	tmm.2017.2652071	NUM
cana-1817	383	10	.	.	PUNCT
cana-1817	384	1	[	[	X
cana-1817	384	2	13	13	NUM
cana-1817	384	3	]	]	PUNCT
cana-1817	384	4	t.	t.	PROPN
cana-1817	384	5	kada	kada	PROPN
cana-1817	384	6	,	,	PUNCT
cana-1817	384	7	m.	m.	NOUN
cana-1817	384	8	g.	g.	PROPN
cana-1817	384	9	linguraru	linguraru	PROPN
cana-1817	384	10	,	,	PUNCT
cana-1817	384	11	m.	m.	NOUN
cana-1817	384	12	hori	hori	PROPN
cana-1817	384	13	,	,	PUNCT
cana-1817	384	14	r.	r.	PROPN
cana-1817	384	15	m.	m.	PROPN
cana-1817	384	16	summers	summers	PROPN
cana-1817	384	17	,	,	PUNCT
cana-1817	384	18	n.	n.	PROPN
cana-1817	384	19	tomiyama	tomiyama	PROPN
cana-1817	384	20	,	,	PUNCT
cana-1817	384	21	and	and	CCONJ
cana-1817	384	22	y.	y.	PROPN
cana-1817	384	23	sato	sato	PROPN
cana-1817	384	24	,	,	PUNCT
cana-1817	384	25	“	"	PUNCT
cana-1817	384	26	abdominal	abdominal	ADJ
cana-1817	384	27	multi	multi	ADJ
cana-1817	384	28	-	-	ADJ
cana-1817	384	29	organ	organ	ADJ
cana-1817	384	30	segmentation	segmentation	NOUN
cana-1817	384	31	from	from	ADP
cana-1817	384	32	ct	ct	NUM
cana-1817	384	33	images	image	NOUN
cana-1817	384	34	using	use	VERB
cana-1817	384	35	conditional	conditional	ADJ
cana-1817	384	36	shape	shape	NOUN
cana-1817	384	37	-	-	PUNCT
cana-1817	384	38	location	location	NOUN
cana-1817	384	39	and	and	CCONJ
cana-1817	384	40	unsupervised	unsupervised	ADJ
cana-1817	384	41	intensity	intensity	NOUN
cana-1817	384	42	priors	prior	NOUN
cana-1817	384	43	,	,	PUNCT
cana-1817	384	44	”	"	PUNCT
cana-1817	384	45	med	me	VERB
cana-1817	384	46	.	.	PUNCT
cana-1817	384	47	image	image	PROPN
cana-1817	384	48	anal	anal	PROPN
cana-1817	384	49	.	.	PUNCT
cana-1817	384	50	,	,	PUNCT
cana-1817	384	51	vol	vol	NOUN
cana-1817	384	52	.	.	PROPN
cana-1817	384	53	26	26	NUM
cana-1817	384	54	,	,	PUNCT
cana-1817	384	55	no	no	INTJ
cana-1817	384	56	.	.	NOUN
cana-1817	384	57	1	1	NUM
cana-1817	384	58	,	,	PUNCT
cana-1817	384	59	pp	pp	ADJ
cana-1817	384	60	.	.	PUNCT
cana-1817	384	61	1–18	1–18	NUM
cana-1817	384	62	,	,	PUNCT
cana-1817	384	63	2015	2015	NUM
cana-1817	384	64	,	,	PUNCT
cana-1817	384	65	doi	doi	NOUN
cana-1817	384	66	:	:	PUNCT
cana-1817	384	67	10.1016	10.1016	NUM
cana-1817	384	68	/	/	SYM
cana-1817	384	69	j.media.2015.06.009	j.media.2015.06.009	PROPN
cana-1817	384	70	.	.	PUNCT
cana-1817	385	1	[	[	X
cana-1817	385	2	14	14	NUM
cana-1817	385	3	]	]	PUNCT
cana-1817	385	4	j.	j.	PROPN
cana-1817	385	5	j.	j.	PROPN
cana-1817	385	6	cerrolaza	cerrolaza	PROPN
cana-1817	385	7	,	,	PUNCT
cana-1817	385	8	m.	m.	NOUN
cana-1817	385	9	reyes	reyes	PROPN
cana-1817	385	10	,	,	PUNCT
cana-1817	385	11	r.	r.	PROPN
cana-1817	385	12	m.	m.	PROPN
cana-1817	385	13	summers	summers	PROPN
cana-1817	385	14	,	,	PUNCT
cana-1817	385	15	m.	m.	NOUN
cana-1817	385	16	á	á	PROPN
cana-1817	385	17	.	.	PUNCT
cana-1817	385	18	gonzález	gonzález	PROPN
cana-1817	385	19	-	-	PUNCT
cana-1817	385	20	ballester	ballester	NOUN
cana-1817	385	21	,	,	PUNCT
cana-1817	385	22	and	and	CCONJ
cana-1817	385	23	m.	m.	NOUN
cana-1817	385	24	g.	g.	PROPN
cana-1817	385	25	linguraru	linguraru	PROPN
cana-1817	385	26	,	,	PUNCT
cana-1817	385	27	“	"	PUNCT
cana-1817	385	28	automatic	automatic	ADJ
cana-1817	385	29	multiresolution	multiresolution	NOUN
cana-1817	385	30	shape	shape	NOUN
cana-1817	385	31	modeling	modeling	NOUN
cana-1817	385	32	of	of	ADP
cana-1817	385	33	multi	multi	ADJ
cana-1817	385	34	-	-	ADJ
cana-1817	385	35	organ	organ	ADJ
cana-1817	385	36	structures	structure	NOUN
cana-1817	385	37	,	,	PUNCT
cana-1817	385	38	”	"	PUNCT
cana-1817	385	39	med	me	VERB
cana-1817	385	40	.	.	PUNCT
cana-1817	385	41	image	image	PROPN
cana-1817	385	42	anal	anal	PROPN
cana-1817	385	43	.	.	PUNCT
cana-1817	385	44	,	,	PUNCT
cana-1817	385	45	vol	vol	NOUN
cana-1817	385	46	.	.	PROPN
cana-1817	386	1	25	25	NUM
cana-1817	386	2	,	,	PUNCT
cana-1817	386	3	no	no	INTJ
cana-1817	386	4	.	.	NOUN
cana-1817	386	5	1	1	NUM
cana-1817	386	6	,	,	PUNCT
cana-1817	386	7	pp	pp	ADJ
cana-1817	386	8	.	.	PUNCT
cana-1817	387	1	11–21	11–21	NUM
cana-1817	387	2	,	,	PUNCT
cana-1817	387	3	2015	2015	NUM
cana-1817	387	4	,	,	PUNCT
cana-1817	387	5	doi	doi	NOUN
cana-1817	387	6	:	:	PUNCT
cana-1817	387	7	10.1016	10.1016	NUM
cana-1817	387	8	/	/	SYM
cana-1817	387	9	j.media.2015.04.003	j.media.2015.04.003	PROPN
cana-1817	387	10	.	.	PUNCT
cana-1817	388	1	[	[	X
cana-1817	388	2	15	15	NUM
cana-1817	388	3	]	]	X
cana-1817	388	4	r.	r.	PROPN
cana-1817	388	5	gauriau	gauriau	PROPN
cana-1817	388	6	,	,	PUNCT
cana-1817	388	7	r.	r.	PROPN
cana-1817	388	8	cuingnet	cuingnet	PROPN
cana-1817	388	9	,	,	PUNCT
cana-1817	388	10	d.	d.	PROPN
cana-1817	388	11	lesage	lesage	PROPN
cana-1817	388	12	,	,	PUNCT
cana-1817	388	13	and	and	CCONJ
cana-1817	388	14	i.	i.	PROPN
cana-1817	388	15	bloch	bloch	PROPN
cana-1817	388	16	,	,	PUNCT
cana-1817	388	17	“	"	PUNCT
cana-1817	388	18	multi	multi	ADJ
cana-1817	388	19	-	-	ADJ
cana-1817	388	20	organ	organ	ADJ
cana-1817	388	21	localization	localization	NOUN
cana-1817	388	22	with	with	ADP
cana-1817	388	23	cascaded	cascade	VERB
cana-1817	388	24	global	global	ADJ
cana-1817	388	25	-	-	PUNCT
cana-1817	388	26	to	to	ADP
cana-1817	388	27	-	-	PUNCT
cana-1817	388	28	local	local	ADJ
cana-1817	388	29	regression	regression	NOUN
cana-1817	388	30	and	and	CCONJ
cana-1817	388	31	shape	shape	NOUN
cana-1817	388	32	prior	prior	ADV
cana-1817	388	33	,	,	PUNCT
cana-1817	388	34	”	"	PUNCT
cana-1817	388	35	med	me	VERB
cana-1817	388	36	.	.	PUNCT
cana-1817	388	37	image	image	PROPN
cana-1817	388	38	anal	anal	PROPN
cana-1817	388	39	.	.	PUNCT
cana-1817	388	40	,	,	PUNCT
cana-1817	388	41	vol	vol	NOUN
cana-1817	388	42	.	.	PROPN
cana-1817	388	43	23	23	NUM
cana-1817	388	44	,	,	PUNCT
cana-1817	388	45	no	no	INTJ
cana-1817	388	46	.	.	NOUN
cana-1817	388	47	1	1	NUM
cana-1817	388	48	,	,	PUNCT
cana-1817	388	49	pp	pp	ADJ
cana-1817	388	50	.	.	PUNCT
cana-1817	389	1	70–83	70–83	NUM
cana-1817	389	2	,	,	PUNCT
cana-1817	389	3	2015	2015	NUM
cana-1817	389	4	,	,	PUNCT
cana-1817	389	5	doi	doi	NOUN
cana-1817	389	6	:	:	PUNCT
cana-1817	389	7	10.1016	10.1016	NUM
cana-1817	389	8	/	/	SYM
cana-1817	389	9	j.media.2015.04.007	j.media.2015.04.007	PROPN
cana-1817	389	10	.	.	PUNCT
cana-1817	390	1	[	[	X
cana-1817	390	2	16	16	NUM
cana-1817	390	3	]	]	X
cana-1817	390	4	s.	s.	PROPN
cana-1817	390	5	tomoshige	tomoshige	PROPN
cana-1817	390	6	,	,	PUNCT
cana-1817	390	7	e.	e.	PROPN
cana-1817	390	8	oost	oost	PROPN
cana-1817	390	9	,	,	PUNCT
cana-1817	390	10	a.	a.	PROPN
cana-1817	390	11	shimizu	shimizu	PROPN
cana-1817	390	12	,	,	PUNCT
cana-1817	390	13	h.	h.	PROPN
cana-1817	390	14	watanabe	watanabe	PROPN
cana-1817	390	15	,	,	PUNCT
cana-1817	390	16	and	and	CCONJ
cana-1817	390	17	s.	s.	PROPN
cana-1817	390	18	nawano	nawano	PROPN
cana-1817	390	19	,	,	PUNCT
cana-1817	390	20	“	"	PUNCT
cana-1817	390	21	a	a	DET
cana-1817	390	22	conditional	conditional	ADJ
cana-1817	390	23	statistical	statistical	ADJ
cana-1817	390	24	shape	shape	NOUN
cana-1817	390	25	model	model	NOUN
cana-1817	390	26	with	with	ADP
cana-1817	390	27	integrated	integrate	VERB
cana-1817	390	28	error	error	NOUN
cana-1817	390	29	estimation	estimation	NOUN
cana-1817	390	30	of	of	ADP
cana-1817	390	31	the	the	DET
cana-1817	390	32	conditions	condition	NOUN
cana-1817	390	33	;	;	PUNCT
cana-1817	390	34	application	application	NOUN
cana-1817	390	35	to	to	PART
cana-1817	390	36	liver	liver	NOUN
cana-1817	390	37	segmentation	segmentation	NOUN
cana-1817	390	38	in	in	ADP
cana-1817	390	39	non	non	ADJ
cana-1817	390	40	-	-	ADJ
cana-1817	390	41	contrast	contrast	ADJ
cana-1817	390	42	ct	ct	NUM
cana-1817	390	43	images	image	NOUN
cana-1817	390	44	,	,	PUNCT
cana-1817	390	45	”	"	PUNCT
cana-1817	390	46	med	me	VERB
cana-1817	390	47	.	.	PUNCT
cana-1817	390	48	image	image	PROPN
cana-1817	390	49	anal	anal	PROPN
cana-1817	390	50	.	.	PUNCT
cana-1817	390	51	,	,	PUNCT
cana-1817	390	52	vol	vol	NOUN
cana-1817	390	53	.	.	PROPN
cana-1817	390	54	18	18	NUM
cana-1817	390	55	,	,	PUNCT
cana-1817	390	56	no	no	INTJ
cana-1817	390	57	.	.	NOUN
cana-1817	390	58	1	1	NUM
cana-1817	390	59	,	,	PUNCT
cana-1817	390	60	pp	pp	ADJ
cana-1817	390	61	.	.	PUNCT
cana-1817	391	1	130–143	130–143	NUM
cana-1817	391	2	,	,	PUNCT
cana-1817	391	3	2014	2014	NUM
cana-1817	391	4	,	,	PUNCT
cana-1817	391	5	doi	doi	NOUN
cana-1817	391	6	:	:	PUNCT
cana-1817	391	7	10.1016	10.1016	NUM
cana-1817	391	8	/	/	SYM
cana-1817	391	9	j.media.2013.10.003	j.media.2013.10.003	PROPN
cana-1817	391	10	.	.	PUNCT
cana-1817	392	1	[	[	X
cana-1817	392	2	17	17	NUM
cana-1817	392	3	]	]	PUNCT
cana-1817	392	4	a.	a.	NOUN
cana-1817	392	5	j.	j.	PROPN
cana-1817	392	6	asman	asman	PROPN
cana-1817	392	7	and	and	CCONJ
cana-1817	392	8	b.	b.	PROPN
cana-1817	392	9	a.	a.	PROPN
cana-1817	392	10	landman	landman	PROPN
cana-1817	392	11	,	,	PUNCT
cana-1817	392	12	“	"	PUNCT
cana-1817	392	13	non	non	ADJ
cana-1817	392	14	-	-	ADJ
cana-1817	392	15	local	local	ADJ
cana-1817	392	16	statistical	statistical	ADJ
cana-1817	392	17	label	label	NOUN
cana-1817	392	18	fusion	fusion	NOUN
cana-1817	392	19	for	for	ADP
cana-1817	392	20	multi	multi	ADJ
cana-1817	392	21	-	-	ADJ
cana-1817	392	22	atlas	atlas	ADJ
cana-1817	392	23	segmentation	segmentation	NOUN
cana-1817	392	24	,	,	PUNCT
cana-1817	392	25	”	"	PUNCT
cana-1817	392	26	med	me	VERB
cana-1817	392	27	.	.	PUNCT
cana-1817	392	28	image	image	PROPN
cana-1817	392	29	anal	anal	PROPN
cana-1817	392	30	.	.	PUNCT
cana-1817	392	31	,	,	PUNCT
cana-1817	392	32	vol	vol	NOUN
cana-1817	392	33	.	.	PROPN
cana-1817	392	34	17	17	NUM
cana-1817	392	35	,	,	PUNCT
cana-1817	392	36	no	no	INTJ
cana-1817	392	37	.	.	NOUN
cana-1817	392	38	2	2	NUM
cana-1817	392	39	,	,	PUNCT
cana-1817	392	40	pp	pp	ADJ
cana-1817	392	41	.	.	PUNCT
cana-1817	393	1	194–208	194–208	NUM
cana-1817	393	2	,	,	PUNCT
cana-1817	393	3	2013	2013	NUM
cana-1817	393	4	,	,	PUNCT
cana-1817	393	5	doi	doi	NOUN
cana-1817	393	6	:	:	PUNCT
cana-1817	393	7	10.1016	10.1016	NUM
cana-1817	393	8	/	/	SYM
cana-1817	393	9	j.media.2012.10.002	j.media.2012.10.002	PROPN
cana-1817	393	10	.	.	PUNCT
cana-1817	394	1	[	[	X
cana-1817	394	2	18	18	NUM
cana-1817	394	3	]	]	X
cana-1817	394	4	c.	c.	PROPN
cana-1817	394	5	dong	dong	PROPN
cana-1817	394	6	et	et	PROPN
cana-1817	394	7	al	al	PROPN
cana-1817	394	8	.	.	PROPN
cana-1817	394	9	,	,	PUNCT
cana-1817	394	10	“	"	PUNCT
cana-1817	394	11	simultaneous	simultaneous	ADJ
cana-1817	394	12	segmentation	segmentation	NOUN
cana-1817	394	13	of	of	ADP
cana-1817	394	14	multiple	multiple	ADJ
cana-1817	394	15	organs	organ	NOUN
cana-1817	394	16	using	use	VERB
cana-1817	394	17	random	random	ADJ
cana-1817	394	18	walks	walk	NOUN
cana-1817	394	19	,	,	PUNCT
cana-1817	394	20	”	"	PUNCT
cana-1817	394	21	j.	j.	PROPN
cana-1817	394	22	inf	inf	PROPN
cana-1817	394	23	.	.	PROPN
cana-1817	394	24	process	process	NOUN
cana-1817	394	25	.	.	PUNCT
cana-1817	394	26	,	,	PUNCT
cana-1817	394	27	vol	vol	NOUN
cana-1817	394	28	.	.	PROPN
cana-1817	394	29	24	24	NUM
cana-1817	394	30	,	,	PUNCT
cana-1817	394	31	no	no	INTJ
cana-1817	394	32	.	.	NOUN
cana-1817	394	33	2	2	NUM
cana-1817	394	34	,	,	PUNCT
cana-1817	394	35	pp	pp	ADJ
cana-1817	394	36	.	.	PUNCT
cana-1817	395	1	320–329	320–329	NUM
cana-1817	395	2	,	,	PUNCT
cana-1817	395	3	2016	2016	NUM
cana-1817	395	4	,	,	PUNCT
cana-1817	395	5	doi	doi	NOUN
cana-1817	395	6	:	:	PUNCT
cana-1817	395	7	10.2197	10.2197	NUM
cana-1817	395	8	/	/	SYM
cana-1817	395	9	ipsjjip.24.320	ipsjjip.24.320	NOUN
cana-1817	395	10	.	.	PUNCT
cana-1817	396	1	[	[	X
cana-1817	396	2	19	19	NUM
cana-1817	396	3	]	]	X
cana-1817	396	4	e.	e.	PROPN
cana-1817	396	5	shelhamer	shelhamer	PROPN
cana-1817	396	6	,	,	PUNCT
cana-1817	396	7	j.	j.	PROPN
cana-1817	396	8	long	long	PROPN
cana-1817	396	9	,	,	PUNCT
cana-1817	396	10	and	and	CCONJ
cana-1817	396	11	t.	t.	PROPN
cana-1817	396	12	darrell	darrell	PROPN
cana-1817	396	13	,	,	PUNCT
cana-1817	396	14	“	"	PUNCT
cana-1817	396	15	fully	fully	ADV
cana-1817	396	16	convolutional	convolutional	ADJ
cana-1817	396	17	networks	network	NOUN
cana-1817	396	18	for	for	ADP
cana-1817	396	19	semantic	semantic	ADJ
cana-1817	396	20	segmentation	segmentation	NOUN
cana-1817	396	21	,	,	PUNCT
cana-1817	396	22	”	"	PUNCT
cana-1817	396	23	ieee	ieee	NOUN
cana-1817	396	24	trans	tran	NOUN
cana-1817	396	25	.	.	PUNCT
cana-1817	396	26	pattern	pattern	PROPN
cana-1817	396	27	anal	anal	PROPN
cana-1817	396	28	.	.	PUNCT
cana-1817	397	1	mach	mach	PROPN
cana-1817	397	2	.	.	PUNCT
cana-1817	398	1	intell	intell	PROPN
cana-1817	398	2	.	.	PUNCT
cana-1817	399	1	,	,	PUNCT
cana-1817	399	2	vol	vol	NOUN
cana-1817	399	3	.	.	PROPN
cana-1817	399	4	39	39	NUM
cana-1817	399	5	,	,	PUNCT
cana-1817	399	6	no	no	INTJ
cana-1817	399	7	.	.	NOUN
cana-1817	399	8	4	4	NUM
cana-1817	399	9	,	,	PUNCT
cana-1817	399	10	pp	pp	ADJ
cana-1817	399	11	.	.	PUNCT
cana-1817	400	1	640–651	640–651	NUM
cana-1817	400	2	,	,	PUNCT
cana-1817	400	3	2017	2017	NUM
cana-1817	400	4	,	,	PUNCT
cana-1817	400	5	doi	doi	NOUN
cana-1817	400	6	:	:	PUNCT
cana-1817	400	7	10.1109	10.1109	NUM
cana-1817	400	8	/	/	SYM
cana-1817	400	9	tpami.2016.2572683	tpami.2016.2572683	NOUN
cana-1817	400	10	.	.	PUNCT
cana-1817	401	1	[	[	X
cana-1817	401	2	20	20	NUM
cana-1817	401	3	]	]	PUNCT
cana-1817	401	4	r.	r.	PROPN
cana-1817	401	5	gauriau	gauriau	PROPN
cana-1817	401	6	,	,	PUNCT
cana-1817	401	7	r.	r.	PROPN
cana-1817	401	8	ardori	ardori	PROPN
cana-1817	401	9	,	,	PUNCT
cana-1817	401	10	d.	d.	PROPN
cana-1817	401	11	lesage	lesage	PROPN
cana-1817	401	12	,	,	PUNCT
cana-1817	401	13	and	and	CCONJ
cana-1817	401	14	i.	i.	PROPN
cana-1817	401	15	bloch	bloch	PROPN
cana-1817	401	16	,	,	PUNCT
cana-1817	401	17	“	"	PUNCT
cana-1817	401	18	multiple	multiple	ADJ
cana-1817	401	19	template	template	NOUN
cana-1817	401	20	deformation	deformation	NOUN
cana-1817	401	21	application	application	NOUN
cana-1817	401	22	to	to	ADP
cana-1817	401	23	abdominal	abdominal	ADJ
cana-1817	401	24	organ	organ	NOUN
cana-1817	401	25	segmentation	segmentation	NOUN
cana-1817	401	26	,	,	PUNCT
cana-1817	401	27	”	"	PUNCT
cana-1817	401	28	proc	proc	NOUN
cana-1817	401	29	.	.	PUNCT
cana-1817	402	1	int	int	NOUN
cana-1817	402	2	.	.	PUNCT
cana-1817	403	1	symp	symp	PROPN
cana-1817	403	2	.	.	PUNCT
cana-1817	403	3	biomed	biome	VERB
cana-1817	403	4	.	.	PUNCT
cana-1817	404	1	imaging	imaging	NOUN
cana-1817	404	2	,	,	PUNCT
cana-1817	404	3	vol	vol	NOUN
cana-1817	404	4	.	.	PROPN
cana-1817	404	5	2015	2015	NUM
cana-1817	404	6	–	–	PUNCT
cana-1817	404	7	july	july	PROPN
cana-1817	404	8	,	,	PUNCT
cana-1817	404	9	pp	pp	X
cana-1817	404	10	.	.	PUNCT
cana-1817	405	1	359–362	359–362	NUM
cana-1817	405	2	,	,	PUNCT
cana-1817	405	3	2015	2015	NUM
cana-1817	405	4	,	,	PUNCT
cana-1817	405	5	doi	doi	NOUN
cana-1817	405	6	:	:	PUNCT
cana-1817	405	7	10.1109	10.1109	NUM
cana-1817	405	8	/	/	SYM
cana-1817	405	9	isbi.2015.7163887	isbi.2015.7163887	ADJ
cana-1817	405	10	.	.	PUNCT
cana-1817	406	1	[	[	X
cana-1817	406	2	21	21	NUM
cana-1817	406	3	]	]	X
cana-1817	406	4	o.	o.	NOUN
cana-1817	406	5	ronneberger	ronneberger	NOUN
cana-1817	406	6	,	,	PUNCT
cana-1817	406	7	p.	p.	NOUN
cana-1817	406	8	fischer	fischer	PROPN
cana-1817	406	9	,	,	PUNCT
cana-1817	406	10	and	and	CCONJ
cana-1817	406	11	t.	t.	PROPN
cana-1817	406	12	brox	brox	PROPN
cana-1817	406	13	,	,	PUNCT
cana-1817	406	14	“	"	PUNCT
cana-1817	406	15	u	u	NOUN
cana-1817	406	16	-	-	NOUN
cana-1817	406	17	net	net	NOUN
cana-1817	406	18	 	 	SPACE
cana-1817	406	19	:	:	PUNCT
cana-1817	406	20	convolutional	convolutional	ADJ
cana-1817	406	21	networks	network	NOUN
cana-1817	406	22	for	for	ADP
cana-1817	406	23	biomedical	biomedical	ADJ
cana-1817	406	24	,	,	PUNCT
cana-1817	406	25	”	"	PUNCT
cana-1817	406	26	pp	pp	ADV
cana-1817	406	27	.	.	PUNCT
cana-1817	407	1	234–241	234–241	NUM
cana-1817	407	2	,	,	PUNCT
cana-1817	407	3	2015	2015	NUM
cana-1817	407	4	,	,	PUNCT
cana-1817	407	5	doi	doi	NOUN
cana-1817	407	6	:	:	PUNCT
cana-1817	407	7	10.1007/978	10.1007/978	NUM
cana-1817	407	8	-	-	SYM
cana-1817	407	9	3	3	NUM
cana-1817	407	10	-	-	NUM
cana-1817	407	11	319	319	NUM
cana-1817	407	12	-	-	PUNCT
cana-1817	407	13	24574	24574	NUM
cana-1817	407	14	-	-	SYM
cana-1817	407	15	4	4	NUM
cana-1817	407	16	.	.	PUNCT
cana-1817	408	1	[	[	X
cana-1817	408	2	22	22	NUM
cana-1817	408	3	]	]	X
cana-1817	408	4	f.	f.	PROPN
cana-1817	408	5	milletari	milletari	PROPN
cana-1817	408	6	,	,	PUNCT
cana-1817	408	7	“	"	PUNCT
cana-1817	408	8	v	v	X
cana-1817	408	9	-	-	PUNCT
cana-1817	408	10	net	net	NOUN
cana-1817	408	11	 	 	SPACE
cana-1817	408	12	:	:	PUNCT
cana-1817	408	13	fully	fully	ADV
cana-1817	408	14	convolutional	convolutional	ADJ
cana-1817	408	15	neural	neural	ADJ
cana-1817	408	16	networks	network	NOUN
cana-1817	408	17	for	for	ADP
cana-1817	408	18	volumetric	volumetric	ADJ
cana-1817	408	19	medical	medical	ADJ
cana-1817	408	20	image	image	NOUN
cana-1817	408	21	segmentation	segmentation	NOUN
cana-1817	408	22	,	,	PUNCT
cana-1817	408	23	”	"	PUNCT
cana-1817	408	24	pp	pp	ADV
cana-1817	408	25	.	.	PUNCT
cana-1817	409	1	567–573	567–573	NUM
cana-1817	409	2	,	,	PUNCT
cana-1817	409	3	2016	2016	NUM
cana-1817	409	4	,	,	PUNCT
cana-1817	409	5	doi	doi	NOUN
cana-1817	409	6	:	:	PUNCT
cana-1817	409	7	10.1109/3dv.2016.79	10.1109/3dv.2016.79	NUM
cana-1817	409	8	.	.	PUNCT
cana-1817	410	1	[	[	X
cana-1817	410	2	23	23	NUM
cana-1817	410	3	]	]	PUNCT
cana-1817	410	4	x.	x.	NOUN
cana-1817	410	5	zhou	zhou	PROPN
cana-1817	410	6	,	,	PUNCT
cana-1817	410	7	r.	r.	PROPN
cana-1817	410	8	takayama	takayama	PROPN
cana-1817	410	9	,	,	PUNCT
cana-1817	410	10	and	and	CCONJ
cana-1817	410	11	s.	s.	PROPN
cana-1817	410	12	wang	wang	PROPN
cana-1817	410	13	,	,	PUNCT
cana-1817	410	14	“	"	PUNCT
cana-1817	410	15	deep	deep	ADJ
cana-1817	410	16	learning	learning	NOUN
cana-1817	410	17	of	of	ADP
cana-1817	410	18	the	the	DET
cana-1817	410	19	sectional	sectional	ADJ
cana-1817	410	20	appearances	appearance	NOUN
cana-1817	410	21	of	of	ADP
cana-1817	410	22	3d	3d	NUM
cana-1817	410	23	ct	ct	NOUN
cana-1817	410	24	images	image	NOUN
cana-1817	410	25	for	for	ADP
cana-1817	410	26	anatomical	anatomical	ADJ
cana-1817	410	27	structure	structure	NOUN
cana-1817	410	28	segmentation	segmentation	NOUN
cana-1817	410	29	based	base	VERB
cana-1817	410	30	on	on	ADP
cana-1817	410	31	an	an	DET
cana-1817	410	32	fcn	fcn	NOUN
cana-1817	410	33	voting	voting	NOUN
cana-1817	410	34	method	method	NOUN
cana-1817	410	35	,	,	PUNCT
cana-1817	410	36	”	"	PUNCT
cana-1817	410	37	vol	vol	NOUN
cana-1817	410	38	.	.	PROPN
cana-1817	410	39	44	44	NUM
cana-1817	410	40	,	,	PUNCT
cana-1817	410	41	no	no	INTJ
cana-1817	410	42	.	.	NOUN
cana-1817	410	43	10	10	NUM
cana-1817	410	44	,	,	PUNCT
cana-1817	410	45	pp	pp	ADJ
cana-1817	410	46	.	.	PUNCT
cana-1817	410	47	5221–5233	5221–5233	NUM
cana-1817	410	48	,	,	PUNCT
cana-1817	410	49	2017	2017	NUM
cana-1817	410	50	,	,	PUNCT
cana-1817	410	51	doi	doi	NOUN
cana-1817	410	52	:	:	PUNCT
cana-1817	410	53	10.1002	10.1002	NUM
cana-1817	410	54	/	/	SYM
cana-1817	410	55	mp.12480	mp.12480	PROPN
cana-1817	410	56	.	.	PUNCT
cana-1817	411	1	[	[	X
cana-1817	411	2	24	24	NUM
cana-1817	411	3	]	]	PUNCT
cana-1817	411	4	p.	p.	PROPN
cana-1817	411	5	hu	hu	PROPN
cana-1817	411	6	,	,	PUNCT
cana-1817	411	7	f.	f.	PROPN
cana-1817	411	8	wu	wu	PROPN
cana-1817	411	9	,	,	PUNCT
cana-1817	411	10	j.	j.	PROPN
cana-1817	411	11	peng	peng	PROPN
cana-1817	411	12	,	,	PUNCT
cana-1817	411	13	y.	y.	PROPN
cana-1817	411	14	bao	bao	PROPN
cana-1817	411	15	,	,	PUNCT
cana-1817	411	16	f.	f.	PROPN
cana-1817	411	17	chen	chen	PROPN
cana-1817	411	18	,	,	PUNCT
cana-1817	411	19	and	and	CCONJ
cana-1817	411	20	d.	d.	PROPN
cana-1817	411	21	kong	kong	PROPN
cana-1817	411	22	,	,	PUNCT
cana-1817	411	23	“	"	PUNCT
cana-1817	411	24	automatic	automatic	ADJ
cana-1817	411	25	abdominal	abdominal	ADJ
cana-1817	411	26	multi	multi	ADJ
cana-1817	411	27	-	-	ADJ
cana-1817	411	28	organ	organ	ADJ
cana-1817	411	29	segmentation	segmentation	NOUN
cana-1817	411	30	using	use	VERB
cana-1817	411	31	deep	deep	ADJ
cana-1817	411	32	convolutional	convolutional	ADJ
cana-1817	411	33	neural	neural	ADJ
cana-1817	411	34	network	network	NOUN
cana-1817	411	35	and	and	CCONJ
cana-1817	411	36	time	time	NOUN
cana-1817	411	37	-	-	PUNCT
cana-1817	411	38	implicit	implicit	ADJ
cana-1817	411	39	level	level	NOUN
cana-1817	411	40	sets	set	NOUN
cana-1817	411	41	,	,	PUNCT
cana-1817	411	42	”	"	PUNCT
cana-1817	411	43	int	int	NOUN
cana-1817	411	44	.	.	PUNCT
cana-1817	412	1	j.	j.	PROPN
cana-1817	412	2	comput	comput	PROPN
cana-1817	412	3	.	.	PUNCT
cana-1817	413	1	assist	assist	VERB
cana-1817	413	2	.	.	PUNCT
cana-1817	414	1	radiol	radiol	NOUN
cana-1817	414	2	.	.	PUNCT
cana-1817	415	1	surg	surg	PROPN
cana-1817	415	2	.	.	PUNCT
cana-1817	416	1	,	,	PUNCT
cana-1817	416	2	vol	vol	NOUN
cana-1817	416	3	.	.	PROPN
cana-1817	417	1	12	12	NUM
cana-1817	417	2	,	,	PUNCT
cana-1817	417	3	no	no	INTJ
cana-1817	417	4	.	.	NOUN
cana-1817	417	5	3	3	NUM
cana-1817	417	6	,	,	PUNCT
cana-1817	417	7	pp	pp	ADJ
cana-1817	417	8	.	.	PUNCT
cana-1817	418	1	399–411	399–411	NUM
cana-1817	418	2	,	,	PUNCT
cana-1817	418	3	2017	2017	NUM
cana-1817	418	4	,	,	PUNCT
cana-1817	418	5	doi	doi	NOUN
cana-1817	418	6	:	:	PUNCT
cana-1817	418	7	10.1007	10.1007	NUM
cana-1817	418	8	/	/	SYM
cana-1817	418	9	s11548	s11548	NOUN
cana-1817	418	10	-	-	PUNCT
cana-1817	418	11	016	016	NUM
cana-1817	418	12	-	-	PUNCT
cana-1817	418	13	1501	1501	NUM
cana-1817	418	14	-	-	SYM
cana-1817	418	15	5	5	NUM
cana-1817	418	16	.	.	PUNCT
cana-1817	418	17	communications	communication	NOUN
cana-1817	418	18	on	on	ADP
cana-1817	418	19	applied	apply	VERB
cana-1817	418	20	nonlinear	nonlinear	ADJ
cana-1817	418	21	analysis	analysis	NOUN
cana-1817	418	22	issn	issn	NOUN
cana-1817	418	23	:	:	PUNCT
cana-1817	418	24	1074	1074	NUM
cana-1817	418	25	-	-	PUNCT
cana-1817	418	26	133x	133x	NUM
cana-1817	418	27	vol	vol	NOUN
cana-1817	418	28	32	32	NUM
cana-1817	418	29	no	no	NOUN
cana-1817	418	30	.	.	NOUN
cana-1817	418	31	2	2	NUM
cana-1817	418	32	(	(	PUNCT
cana-1817	418	33	2025	2025	NUM
cana-1817	418	34	)	)	PUNCT
cana-1817	419	1	579	579	NUM
cana-1817	419	2	[	[	X
cana-1817	419	3	25	25	NUM
cana-1817	419	4	]	]	PUNCT
cana-1817	419	5	m.	m.	NOUN
cana-1817	419	6	larsson	larsson	PROPN
cana-1817	419	7	,	,	PUNCT
cana-1817	419	8	y.	y.	PROPN
cana-1817	419	9	zhang	zhang	PROPN
cana-1817	419	10	,	,	PUNCT
cana-1817	419	11	and	and	CCONJ
cana-1817	419	12	f.	f.	PROPN
cana-1817	419	13	kahl	kahl	PROPN
cana-1817	419	14	,	,	PUNCT
cana-1817	419	15	“	"	PUNCT
cana-1817	419	16	robust	robust	ADJ
cana-1817	419	17	abdominal	abdominal	ADJ
cana-1817	419	18	organ	organ	NOUN
cana-1817	419	19	segmentation	segmentation	NOUN
cana-1817	419	20	using	use	VERB
cana-1817	419	21	regional	regional	ADJ
cana-1817	419	22	convolutional	convolutional	ADJ
cana-1817	419	23	neural	neural	ADJ
cana-1817	419	24	networks	network	NOUN
cana-1817	419	25	,	,	PUNCT
cana-1817	419	26	”	"	PUNCT
cana-1817	419	27	appl	appl	NOUN
cana-1817	419	28	.	.	PUNCT
cana-1817	419	29	soft	soft	ADJ
cana-1817	419	30	comput	comput	NOUN
cana-1817	419	31	.	.	PUNCT
cana-1817	420	1	j.	j.	PROPN
cana-1817	420	2	,	,	PUNCT
cana-1817	420	3	vol	vol	NOUN
cana-1817	420	4	.	.	PROPN
cana-1817	420	5	70	70	NUM
cana-1817	420	6	,	,	PUNCT
cana-1817	420	7	pp	pp	ADJ
cana-1817	420	8	.	.	PUNCT
cana-1817	421	1	465–471	465–471	NUM
cana-1817	421	2	,	,	PUNCT
cana-1817	421	3	2018	2018	NUM
cana-1817	421	4	,	,	PUNCT
cana-1817	421	5	doi	doi	NOUN
cana-1817	421	6	:	:	PUNCT
cana-1817	421	7	10.1016	10.1016	NUM
cana-1817	421	8	/	/	SYM
cana-1817	421	9	j.asoc.2018.05.038	j.asoc.2018.05.038	PROPN
cana-1817	421	10	.	.	PUNCT
cana-1817	422	1	[	[	X
cana-1817	422	2	26	26	NUM
cana-1817	422	3	]	]	PUNCT
cana-1817	422	4	s.	s.	PROPN
cana-1817	422	5	chen	chen	PROPN
cana-1817	422	6	et	et	PROPN
cana-1817	422	7	al	al	PROPN
cana-1817	422	8	.	.	PROPN
cana-1817	422	9	,	,	PUNCT
cana-1817	422	10	“	"	PUNCT
cana-1817	422	11	towards	towards	ADP
cana-1817	422	12	automatic	automatic	ADJ
cana-1817	422	13	abdominal	abdominal	ADJ
cana-1817	422	14	multi	multi	ADJ
cana-1817	422	15	-	-	ADJ
cana-1817	422	16	organ	organ	ADJ
cana-1817	422	17	segmentation	segmentation	NOUN
cana-1817	422	18	in	in	ADP
cana-1817	422	19	dual	dual	ADJ
cana-1817	422	20	energy	energy	NOUN
cana-1817	422	21	ct	ct	NOUN
cana-1817	422	22	using	use	VERB
cana-1817	422	23	cascaded	cascade	VERB
cana-1817	422	24	3d	3d	NOUN
cana-1817	422	25	fully	fully	ADV
cana-1817	422	26	convolutional	convolutional	ADJ
cana-1817	422	27	network	network	NOUN
cana-1817	422	28	,	,	PUNCT
cana-1817	422	29	”	"	PUNCT
cana-1817	422	30	pp	pp	ADV
cana-1817	422	31	.	.	PUNCT
cana-1817	423	1	1–4	1–4	NUM
cana-1817	423	2	,	,	PUNCT
cana-1817	423	3	2017	2017	NUM
cana-1817	423	4	,	,	PUNCT
cana-1817	424	1	[	[	X
cana-1817	424	2	online	online	X
cana-1817	424	3	]	]	X
cana-1817	424	4	.	.	PUNCT
cana-1817	425	1	available	available	ADJ
cana-1817	425	2	:	:	PUNCT
cana-1817	425	3	http://arxiv.org/abs/1710.05379	http://arxiv.org/abs/1710.05379	NOUN
cana-1817	425	4	[	[	X
cana-1817	425	5	27	27	NUM
cana-1817	425	6	]	]	X
cana-1817	425	7	h.	h.	PROPN
cana-1817	425	8	r.	r.	PROPN
cana-1817	425	9	roth	roth	PROPN
cana-1817	425	10	et	et	PROPN
cana-1817	425	11	al	al	PROPN
cana-1817	425	12	.	.	PROPN
cana-1817	425	13	,	,	PUNCT
cana-1817	425	14	“	"	PUNCT
cana-1817	425	15	an	an	DET
cana-1817	425	16	application	application	NOUN
cana-1817	425	17	of	of	ADP
cana-1817	425	18	cascaded	cascade	VERB
cana-1817	425	19	3d	3d	NOUN
cana-1817	425	20	fully	fully	ADV
cana-1817	425	21	convolutional	convolutional	ADJ
cana-1817	425	22	networks	network	NOUN
cana-1817	425	23	for	for	ADP
cana-1817	425	24	medical	medical	ADJ
cana-1817	425	25	image	image	NOUN
cana-1817	425	26	segmentation	segmentation	NOUN
cana-1817	425	27	,	,	PUNCT
cana-1817	425	28	”	"	PUNCT
cana-1817	425	29	comput	comput	NOUN
cana-1817	425	30	.	.	PUNCT
cana-1817	426	1	med	med	PROPN
cana-1817	426	2	.	.	PUNCT
cana-1817	427	1	imaging	imaging	NOUN
cana-1817	427	2	graph	graph	NOUN
cana-1817	427	3	.	.	PUNCT
cana-1817	427	4	,	,	PUNCT
cana-1817	427	5	vol	vol	NOUN
cana-1817	427	6	.	.	PROPN
cana-1817	428	1	66	66	NUM
cana-1817	428	2	,	,	PUNCT
cana-1817	428	3	no	no	INTJ
cana-1817	428	4	.	.	PUNCT
cana-1817	429	1	october	october	PROPN
cana-1817	429	2	2017	2017	NUM
cana-1817	429	3	,	,	PUNCT
cana-1817	429	4	pp	pp	ADJ
cana-1817	429	5	.	.	PUNCT
cana-1817	430	1	90–99	90–99	NUM
cana-1817	430	2	,	,	PUNCT
cana-1817	430	3	2018	2018	NUM
cana-1817	430	4	,	,	PUNCT
cana-1817	430	5	doi	doi	NOUN
cana-1817	430	6	:	:	PUNCT
cana-1817	430	7	10.1016	10.1016	NUM
cana-1817	430	8	/	/	SYM
cana-1817	430	9	j.compmedimag.2018.03.001	j.compmedimag.2018.03.001	PROPN
cana-1817	430	10	.	.	PUNCT
cana-1817	431	1	[	[	X
cana-1817	431	2	28	28	NUM
cana-1817	431	3	]	]	X
cana-1817	431	4	h.	h.	PROPN
cana-1817	431	5	kakeya	kakeya	PROPN
cana-1817	431	6	,	,	PUNCT
cana-1817	431	7	t.	t.	PROPN
cana-1817	431	8	okada	okada	PROPN
cana-1817	431	9	,	,	PUNCT
cana-1817	431	10	and	and	CCONJ
cana-1817	431	11	y.	y.	PROPN
cana-1817	431	12	oshiro	oshiro	PROPN
cana-1817	431	13	,	,	PUNCT
cana-1817	431	14	“	"	PUNCT
cana-1817	431	15	3d	3d	NUM
cana-1817	431	16	u	u	NOUN
cana-1817	431	17	-	-	PUNCT
cana-1817	431	18	japa	japa	VERB
cana-1817	431	19	-	-	PUNCT
cana-1817	431	20	net	net	NOUN
cana-1817	431	21	 	 	SPACE
cana-1817	431	22	:	:	PUNCT
cana-1817	431	23	mixture	mixture	NOUN
cana-1817	431	24	of	of	ADP
cana-1817	431	25	convolutional	convolutional	ADJ
cana-1817	431	26	networks	network	NOUN
cana-1817	431	27	for	for	ADP
cana-1817	431	28	abdominal	abdominal	ADJ
cana-1817	431	29	multi	multi	ADJ
cana-1817	431	30	-	-	ADJ
cana-1817	431	31	organ	organ	ADJ
cana-1817	431	32	ct	ct	NUM
cana-1817	431	33	segmentation	segmentation	NOUN
cana-1817	431	34	,	,	PUNCT
cana-1817	431	35	”	"	PUNCT
cana-1817	431	36	vol	vol	NOUN
cana-1817	431	37	.	.	PROPN
cana-1817	431	38	1	1	NUM
cana-1817	431	39	,	,	PUNCT
cana-1817	431	40	pp	pp	ADJ
cana-1817	431	41	.	.	PUNCT
cana-1817	432	1	426–433	426–433	NUM
cana-1817	432	2	,	,	PUNCT
cana-1817	432	3	2018	2018	NUM
cana-1817	432	4	.	.	PUNCT
cana-1817	433	1	[	[	X
cana-1817	433	2	29	29	NUM
cana-1817	433	3	]	]	PUNCT
cana-1817	433	4	z.	z.	PROPN
cana-1817	433	5	zheng	zheng	PROPN
cana-1817	433	6	,	,	PUNCT
cana-1817	433	7	y.	y.	PROPN
cana-1817	433	8	hayashi	hayashi	PROPN
cana-1817	433	9	,	,	PUNCT
cana-1817	433	10	m.	m.	NOUN
cana-1817	433	11	oda	oda	PROPN
cana-1817	433	12	,	,	PUNCT
cana-1817	433	13	t.	t.	PROPN
cana-1817	433	14	kitasaka	kitasaka	PROPN
cana-1817	433	15	,	,	PUNCT
cana-1817	433	16	k.	k.	PROPN
cana-1817	433	17	misawa	misawa	PROPN
cana-1817	433	18	,	,	PUNCT
cana-1817	433	19	and	and	CCONJ
cana-1817	433	20	k.	k.	PROPN
cana-1817	433	21	mori	mori	PROPN
cana-1817	433	22	,	,	PUNCT
cana-1817	433	23	“	"	PUNCT
cana-1817	433	24	federated	federate	VERB
cana-1817	433	25	3d	3d	NUM
cana-1817	433	26	multi	multi	ADJ
cana-1817	433	27	-	-	ADJ
cana-1817	433	28	organ	organ	ADJ
cana-1817	433	29	segmentation	segmentation	NOUN
cana-1817	433	30	with	with	ADP
cana-1817	433	31	partially	partially	ADV
cana-1817	433	32	labeled	label	VERB
cana-1817	433	33	and	and	CCONJ
cana-1817	433	34	unlabeled	unlabeled	ADJ
cana-1817	433	35	data	datum	NOUN
cana-1817	433	36	,	,	PUNCT
cana-1817	433	37	”	"	PUNCT
cana-1817	433	38	int	int	NOUN
cana-1817	433	39	.	.	PUNCT
cana-1817	434	1	j.	j.	PROPN
cana-1817	434	2	comput	comput	PROPN
cana-1817	434	3	.	.	PUNCT
cana-1817	435	1	assist	assist	VERB
cana-1817	435	2	.	.	PUNCT
cana-1817	436	1	radiol	radiol	NOUN
cana-1817	436	2	.	.	PUNCT
cana-1817	437	1	surg	surg	PROPN
cana-1817	437	2	.	.	PUNCT
cana-1817	437	3	,	,	PUNCT
cana-1817	437	4	2024	2024	NUM
cana-1817	437	5	,	,	PUNCT
cana-1817	437	6	doi	doi	NOUN
cana-1817	437	7	:	:	PUNCT
cana-1817	437	8	10.1007	10.1007	NUM
cana-1817	437	9	/	/	SYM
cana-1817	437	10	s11548	s11548	NOUN
cana-1817	437	11	-	-	PUNCT
cana-1817	437	12	02403139	02403139	NUM
cana-1817	437	13	-	-	PUNCT
cana-1817	437	14	6	6	NUM
cana-1817	437	15	.	.	PUNCT
cana-1817	438	1	[	[	X
cana-1817	438	2	30	30	NUM
cana-1817	438	3	]	]	X
cana-1817	438	4	s.	s.	PROPN
cana-1817	438	5	irshad	irshad	PROPN
cana-1817	438	6	,	,	PUNCT
cana-1817	438	7	d.	d.	PROPN
cana-1817	438	8	p.	p.	PROPN
cana-1817	438	9	s.	s.	PROPN
cana-1817	438	10	gomes	gomes	PROPN
cana-1817	438	11	,	,	PUNCT
cana-1817	438	12	and	and	CCONJ
cana-1817	438	13	s.	s.	PROPN
cana-1817	438	14	t.	t.	PROPN
cana-1817	438	15	kim	kim	PROPN
cana-1817	438	16	,	,	PUNCT
cana-1817	438	17	“	"	PUNCT
cana-1817	438	18	improved	improve	VERB
cana-1817	438	19	abdominal	abdominal	ADJ
cana-1817	438	20	multi	multi	ADJ
cana-1817	438	21	-	-	ADJ
cana-1817	438	22	organ	organ	ADJ
cana-1817	438	23	segmentation	segmentation	NOUN
cana-1817	438	24	via	via	ADP
cana-1817	438	25	3d	3d	NUM
cana-1817	438	26	boundaryconstrained	boundaryconstraine	VERB
cana-1817	438	27	deep	deep	ADJ
cana-1817	438	28	neural	neural	ADJ
cana-1817	438	29	networks	network	NOUN
cana-1817	438	30	,	,	PUNCT
cana-1817	438	31	”	"	PUNCT
cana-1817	438	32	ieee	ieee	NOUN
cana-1817	438	33	access	access	NOUN
cana-1817	438	34	,	,	PUNCT
cana-1817	438	35	vol	vol	NOUN
cana-1817	438	36	.	.	PROPN
cana-1817	438	37	11	11	NUM
cana-1817	438	38	,	,	PUNCT
cana-1817	438	39	pp	pp	ADJ
cana-1817	438	40	.	.	PUNCT
cana-1817	439	1	35097–35110	35097–35110	NUM
cana-1817	439	2	,	,	PUNCT
cana-1817	439	3	2023	2023	NUM
cana-1817	439	4	,	,	PUNCT
cana-1817	439	5	doi	doi	NOUN
cana-1817	439	6	:	:	PUNCT
cana-1817	439	7	10.1109	10.1109	NUM
cana-1817	439	8	/	/	SYM
cana-1817	439	9	access.2023.3264582	access.2023.3264582	PROPN
cana-1817	439	10	.	.	PUNCT
cana-1817	440	1	[	[	X
cana-1817	440	2	31	31	NUM
cana-1817	440	3	]	]	PUNCT
cana-1817	440	4	t.	t.	PROPN
cana-1817	440	5	lei	lei	PROPN
cana-1817	440	6	,	,	PUNCT
cana-1817	440	7	r.	r.	PROPN
cana-1817	440	8	sun	sun	PROPN
cana-1817	440	9	,	,	PUNCT
cana-1817	440	10	x.	x.	NOUN
cana-1817	440	11	du	du	PROPN
cana-1817	440	12	,	,	PUNCT
cana-1817	440	13	h.	h.	PROPN
cana-1817	440	14	fu	fu	PROPN
cana-1817	440	15	,	,	PUNCT
cana-1817	440	16	c.	c.	PROPN
cana-1817	440	17	zhang	zhang	PROPN
cana-1817	440	18	,	,	PUNCT
cana-1817	440	19	and	and	CCONJ
cana-1817	440	20	a.	a.	PROPN
cana-1817	440	21	k.	k.	PROPN
cana-1817	440	22	nandi	nandi	PROPN
cana-1817	440	23	,	,	PUNCT
cana-1817	440	24	“	"	PUNCT
cana-1817	440	25	sgu	sgu	NOUN
cana-1817	440	26	-	-	PUNCT
cana-1817	440	27	net	net	NOUN
cana-1817	440	28	:	:	PUNCT
cana-1817	440	29	shape	shape	NOUN
cana-1817	440	30	-	-	PUNCT
cana-1817	440	31	guided	guide	VERB
cana-1817	440	32	ultralight	ultralight	NOUN
cana-1817	440	33	network	network	NOUN
cana-1817	440	34	for	for	ADP
cana-1817	440	35	abdominal	abdominal	ADJ
cana-1817	440	36	image	image	NOUN
cana-1817	440	37	segmentation	segmentation	NOUN
cana-1817	440	38	,	,	PUNCT
cana-1817	440	39	”	"	PUNCT
cana-1817	440	40	ieee	ieee	PROPN
cana-1817	440	41	j.	j.	PROPN
cana-1817	440	42	biomed	biome	VERB
cana-1817	440	43	.	.	PUNCT
cana-1817	441	1	heal	heal	NOUN
cana-1817	441	2	.	.	PUNCT
cana-1817	442	1	informatics	informatic	NOUN
cana-1817	442	2	,	,	PUNCT
cana-1817	442	3	vol	vol	NOUN
cana-1817	442	4	.	.	PROPN
cana-1817	442	5	27	27	NUM
cana-1817	442	6	,	,	PUNCT
cana-1817	442	7	no	no	INTJ
cana-1817	442	8	.	.	NOUN
cana-1817	442	9	3	3	NUM
cana-1817	442	10	,	,	PUNCT
cana-1817	442	11	pp	pp	ADJ
cana-1817	442	12	.	.	PUNCT
cana-1817	442	13	1431–1442	1431–1442	NUM
cana-1817	442	14	,	,	PUNCT
cana-1817	442	15	2023	2023	NUM
cana-1817	442	16	,	,	PUNCT
cana-1817	442	17	doi	doi	NOUN
cana-1817	442	18	:	:	PUNCT
cana-1817	442	19	10.1109	10.1109	NUM
cana-1817	442	20	/	/	SYM
cana-1817	442	21	jbhi.2023.3238183	jbhi.2023.3238183	NOUN
cana-1817	442	22	.	.	PUNCT
cana-1817	443	1	[	[	X
cana-1817	443	2	32	32	NUM
cana-1817	443	3	]	]	PUNCT
cana-1817	443	4	s.	s.	PROPN
cana-1817	443	5	pan	pan	PROPN
cana-1817	443	6	et	et	PROPN
cana-1817	443	7	al	al	PROPN
cana-1817	443	8	.	.	PROPN
cana-1817	443	9	,	,	PUNCT
cana-1817	443	10	“	"	PUNCT
cana-1817	443	11	deep	deep	ADJ
cana-1817	443	12	learning	learning	NOUN
cana-1817	443	13	-	-	PUNCT
cana-1817	443	14	based	base	VERB
cana-1817	443	15	multi	multi	ADJ
cana-1817	443	16	-	-	ADJ
cana-1817	443	17	organ	organ	ADJ
cana-1817	443	18	ct	ct	PROPN
cana-1817	443	19	segmentation	segmentation	NOUN
cana-1817	443	20	with	with	ADP
cana-1817	443	21	adversarial	adversarial	ADJ
cana-1817	443	22	data	datum	NOUN
cana-1817	443	23	augmentation	augmentation	NOUN
cana-1817	443	24	,	,	PUNCT
cana-1817	443	25	”	"	PUNCT
cana-1817	443	26	p.	p.	NOUN
cana-1817	443	27	93	93	NUM
cana-1817	443	28	,	,	PUNCT
cana-1817	443	29	2023	2023	NUM
cana-1817	443	30	,	,	PUNCT
cana-1817	443	31	doi	doi	NOUN
cana-1817	443	32	:	:	PUNCT
cana-1817	443	33	10.1117/12.2653970	10.1117/12.2653970	NUM
cana-1817	443	34	.	.	PUNCT
cana-1817	444	1	[	[	X
cana-1817	444	2	33	33	NUM
cana-1817	444	3	]	]	X
cana-1817	444	4	s.	s.	PROPN
cana-1817	444	5	francis	francis	PROPN
cana-1817	444	6	,	,	PUNCT
cana-1817	444	7	c.	c.	PROPN
cana-1817	444	8	a.	a.	PROPN
cana-1817	444	9	minino	minino	PROPN
cana-1817	444	10	,	,	PUNCT
cana-1817	444	11	p.	p.	PROPN
cana-1817	444	12	n.	n.	PROPN
cana-1817	444	13	pournami	pournami	PROPN
cana-1817	444	14	,	,	PUNCT
cana-1817	444	15	p.	p.	NOUN
cana-1817	444	16	niyas	niyas	NOUN
cana-1817	444	17	,	,	PUNCT
cana-1817	444	18	and	and	CCONJ
cana-1817	444	19	p.	p.	PROPN
cana-1817	444	20	b.	b.	PROPN
cana-1817	445	1	jayaraj	jayaraj	PROPN
cana-1817	445	2	,	,	PUNCT
cana-1817	445	3	“	"	PUNCT
cana-1817	445	4	self	self	NOUN
cana-1817	445	5	-	-	PUNCT
cana-1817	445	6	supervised	supervise	VERB
cana-1817	445	7	approach	approach	NOUN
cana-1817	445	8	for	for	ADP
cana-1817	445	9	organs	organ	NOUN
cana-1817	445	10	at	at	ADP
cana-1817	445	11	risk	risk	NOUN
cana-1817	445	12	segmentation	segmentation	NOUN
cana-1817	445	13	of	of	ADP
cana-1817	445	14	abdominal	abdominal	ADJ
cana-1817	445	15	ct	ct	NOUN
cana-1817	445	16	images	image	NOUN
cana-1817	445	17	,	,	PUNCT
cana-1817	445	18	”	"	PUNCT
cana-1817	445	19	itm	itm	PROPN
cana-1817	445	20	web	web	NOUN
cana-1817	445	21	conf	conf	NOUN
cana-1817	445	22	.	.	PUNCT
cana-1817	445	23	,	,	PUNCT
cana-1817	445	24	vol	vol	NOUN
cana-1817	445	25	.	.	PROPN
cana-1817	445	26	01003	01003	NUM
cana-1817	445	27	,	,	PUNCT
cana-1817	445	28	pp	pp	ADJ
cana-1817	445	29	.	.	PUNCT
cana-1817	446	1	1–9	1–9	NUM
cana-1817	446	2	,	,	PUNCT
cana-1817	446	3	2023	2023	NUM
cana-1817	446	4	,	,	PUNCT
cana-1817	446	5	[	[	X
cana-1817	446	6	online].available	online].available	ADJ
cana-1817	446	7	:	:	PUNCT
cana-1817	446	8	https://www.itmconferences.org/articles/itmconf/abs/2023/04/itmconf_i3cs2023_01003/itmconf_i3cs2023_0100	https://www.itmconferences.org/articles/itmconf/abs/2023/04/itmconf_i3cs2023_01003/itmconf_i3cs2023_0100	NOUN
cana-1817	447	1	3.html?utm_source=researcher_app&utm_medium=referral&utm_campaign=resr_mrkt_researcher_inboun	3.html?utm_source=researcher_app&utm_medium=referral&utm_campaign=resr_mrkt_researcher_inboun	PROPN
cana-1817	447	2	d	d	X
cana-1817	448	1	[	[	X
cana-1817	448	2	34	34	NUM
cana-1817	448	3	]	]	X
cana-1817	448	4	g.	g.	PROPN
cana-1817	448	5	krishnan	krishnan	PROPN
cana-1817	448	6	murugesan	murugesan	PROPN
cana-1817	448	7	et	et	PROPN
cana-1817	448	8	al	al	PROPN
cana-1817	448	9	.	.	PROPN
cana-1817	448	10	,	,	PUNCT
cana-1817	448	11	“	"	PUNCT
cana-1817	448	12	automatic	automatic	ADJ
cana-1817	448	13	abdominal	abdominal	ADJ
cana-1817	448	14	multi	multi	ADJ
cana-1817	448	15	organ	organ	NOUN
cana-1817	448	16	segmentation	segmentation	NOUN
cana-1817	448	17	using	use	VERB
cana-1817	448	18	residual	residual	ADJ
cana-1817	448	19	unet	unet	NOUN
cana-1817	448	20	,	,	PUNCT
cana-1817	448	21	”	"	PUNCT
cana-1817	448	22	no	no	INTJ
cana-1817	448	23	.	.	PUNCT
cana-1817	449	1	dl	dl	INTJ
cana-1817	449	2	,	,	PUNCT
cana-1817	449	3	pp	pp	PROPN
cana-1817	449	4	.	.	PUNCT
cana-1817	450	1	1–6	1–6	NUM
cana-1817	450	2	,	,	PUNCT
cana-1817	450	3	2023	2023	NUM
cana-1817	450	4	,	,	PUNCT
cana-1817	450	5	[	[	X
cana-1817	450	6	online	online	X
cana-1817	450	7	]	]	X
cana-1817	450	8	.	.	PUNCT
cana-1817	451	1	available	available	ADJ
cana-1817	451	2	:	:	PUNCT
cana-1817	452	1	https://doi.org/10.1101/2023.02.1	https://doi.org/10.1101/2023.02.1	PROPN
cana-1817	452	2	c.	c.	PROPN
cana-1817	452	3	li	li	PROPN
cana-1817	452	4	,	,	PUNCT
cana-1817	452	5	“	"	PUNCT
cana-1817	452	6	abdominal	abdominal	ADJ
cana-1817	452	7	multi	multi	ADJ
cana-1817	452	8	-	-	ADJ
cana-1817	452	9	organ	organ	ADJ
cana-1817	452	10	segmentation	segmentation	NOUN
cana-1817	452	11	in	in	ADP
cana-1817	452	12	ct	ct	NOUN
cana-1817	452	13	using	use	VERB
cana-1817	452	14	nnu	nnu	PROPN
cana-1817	452	15	-	-	PUNCT
cana-1817	452	16	net	net	NOUN
cana-1817	452	17	,	,	PUNCT
cana-1817	452	18	”	"	PUNCT
cana-1817	452	19	2022	2022	NUM
cana-1817	452	20	,	,	PUNCT
cana-1817	452	21	https://openreview.net/forum?id=7xxsp0dmojq.c	https://openreview.net/forum?id=7xxsp0dmojq.c	PROPN
cana-1817	452	22	.	.	PUNCT
cana-1817	453	1	li	li	PROPN
cana-1817	453	2	,	,	PUNCT
cana-1817	453	3	“	"	PUNCT
cana-1817	453	4	abdominal	abdominal	ADJ
cana-1817	453	5	multi	multi	ADJ
cana-1817	453	6	-	-	ADJ
cana-1817	453	7	organ	organ	ADJ
cana-1817	453	8	segmentation	segmentation	NOUN
cana-1817	453	9	in	in	ADP
cana-1817	453	10	ct	ct	PROPN
cana-1817	453	11	using	use	VERB
cana-1817	453	12	,	,	PUNCT
cana-1817	453	13	”	"	PUNCT
cana-1817	453	14	pp	pp	ADV
cana-1817	453	15	.	.	PUNCT
cana-1817	454	1	1–7	1–7	X
cana-1817	454	2	.	.	PUNCT
cana-1817	455	1	[	[	X
cana-1817	455	2	36	36	NUM
cana-1817	455	3	]	]	PUNCT
cana-1817	455	4	z.	z.	PROPN
cana-1817	455	5	chen	chen	PROPN
cana-1817	455	6	et	et	PROPN
cana-1817	455	7	al	al	PROPN
cana-1817	455	8	.	.	PROPN
cana-1817	455	9	,	,	PUNCT
cana-1817	455	10	“	"	PUNCT
cana-1817	455	11	deep	deep	ADJ
cana-1817	455	12	learning	learning	NOUN
cana-1817	455	13	-	-	PUNCT
cana-1817	455	14	aided	aid	VERB
cana-1817	455	15	3d	3d	NUM
cana-1817	455	16	proxy	proxy	NOUN
cana-1817	455	17	-	-	PUNCT
cana-1817	455	18	bridged	bridge	VERB
cana-1817	455	19	region	region	NOUN
cana-1817	455	20	-	-	PUNCT
cana-1817	455	21	growing	grow	VERB
cana-1817	455	22	framework	framework	NOUN
cana-1817	455	23	for	for	ADP
cana-1817	455	24	multi	multi	ADJ
cana-1817	455	25	-	-	ADJ
cana-1817	455	26	organ	organ	ADJ
cana-1817	455	27	segmentation	segmentation	NOUN
cana-1817	455	28	,	,	PUNCT
cana-1817	455	29	”	"	PUNCT
cana-1817	455	30	sci	sci	PROPN
cana-1817	455	31	.	.	PROPN
cana-1817	455	32	rep	rep	PROPN
cana-1817	455	33	.	.	PROPN
cana-1817	455	34	,	,	PUNCT
cana-1817	455	35	vol	vol	NOUN
cana-1817	455	36	.	.	PROPN
cana-1817	455	37	14	14	NUM
cana-1817	455	38	,	,	PUNCT
cana-1817	455	39	no	no	INTJ
cana-1817	455	40	.	.	NOUN
cana-1817	455	41	1	1	NUM
cana-1817	455	42	,	,	PUNCT
cana-1817	455	43	pp	pp	PROPN
cana-1817	455	44	.	.	PUNCT
cana-1817	456	1	1–16	1–16	NOUN
cana-1817	456	2	,	,	PUNCT
cana-1817	456	3	2024	2024	NUM
cana-1817	456	4	,	,	PUNCT
cana-1817	456	5	doi	doi	NOUN
cana-1817	456	6	:	:	PUNCT
cana-1817	456	7	10.1038	10.1038	NUM
cana-1817	456	8	/	/	SYM
cana-1817	456	9	s41598	s41598	NOUN
cana-1817	456	10	-	-	PUNCT
cana-1817	456	11	024	024	NUM
cana-1817	456	12	-	-	PUNCT
cana-1817	456	13	60668	60668	NUM
cana-1817	456	14	-	-	SYM
cana-1817	456	15	5	5	NUM
cana-1817	456	16	.	.	PUNCT
cana-1817	457	1	[	[	X
cana-1817	457	2	37	37	NUM
cana-1817	457	3	]	]	PUNCT
cana-1817	457	4	x.	x.	PROPN
cana-1817	457	5	yan	yan	PROPN
cana-1817	457	6	,	,	PUNCT
cana-1817	457	7	h.	h.	PROPN
cana-1817	457	8	tang	tang	PROPN
cana-1817	457	9	,	,	PUNCT
cana-1817	457	10	s.	s.	PROPN
cana-1817	457	11	sun	sun	PROPN
cana-1817	457	12	,	,	PUNCT
cana-1817	457	13	h.	h.	PROPN
cana-1817	457	14	ma	ma	PROPN
cana-1817	457	15	,	,	PUNCT
cana-1817	457	16	d.	d.	PROPN
cana-1817	457	17	kong	kong	PROPN
cana-1817	457	18	,	,	PUNCT
cana-1817	457	19	and	and	CCONJ
cana-1817	457	20	x.	x.	PROPN
cana-1817	457	21	xie	xie	PROPN
cana-1817	457	22	,	,	PUNCT
cana-1817	457	23	“	"	PUNCT
cana-1817	457	24	after	after	ADP
cana-1817	457	25	-	-	PUNCT
cana-1817	457	26	unet	unet	NOUN
cana-1817	457	27	:	:	PUNCT
cana-1817	457	28	axial	axial	ADJ
cana-1817	457	29	fusion	fusion	NOUN
cana-1817	457	30	transformer	transformer	NOUN
cana-1817	457	31	unet	unet	NOUN
cana-1817	457	32	for	for	ADP
cana-1817	457	33	medical	medical	ADJ
cana-1817	457	34	image	image	NOUN
cana-1817	457	35	segmentation	segmentation	NOUN
cana-1817	457	36	,	,	PUNCT
cana-1817	457	37	”	"	PUNCT
cana-1817	457	38	vol	vol	NOUN
cana-1817	457	39	.	.	PUNCT
cana-1817	458	1	c	c	X
cana-1817	458	2	,	,	PUNCT
cana-1817	458	3	pp	pp	ADJ
cana-1817	458	4	.	.	PUNCT
cana-1817	459	1	3270–3280	3270–3280	NUM
cana-1817	459	2	,	,	PUNCT
cana-1817	459	3	2022	2022	NUM
cana-1817	459	4	,	,	PUNCT
cana-1817	459	5	doi	doi	NOUN
cana-1817	459	6	:	:	PUNCT
cana-1817	459	7	10.1109	10.1109	NUM
cana-1817	459	8	/	/	SYM
cana-1817	459	9	wacv51458.2022.00333	wacv51458.2022.00333	NOUN
cana-1817	459	10	.	.	PUNCT
cana-1817	460	1	[	[	X
cana-1817	460	2	38	38	NUM
cana-1817	460	3	]	]	PUNCT
cana-1817	460	4	a.	a.	NOUN
cana-1817	460	5	hatamizadeh	hatamizadeh	NOUN
cana-1817	460	6	et	et	PROPN
cana-1817	460	7	al	al	PROPN
cana-1817	460	8	.	.	PROPN
cana-1817	460	9	,	,	PUNCT
cana-1817	460	10	“	"	PUNCT
cana-1817	460	11	unetr	unetr	NOUN
cana-1817	460	12	:	:	PUNCT
cana-1817	460	13	transformers	transformer	NOUN
cana-1817	460	14	for	for	ADP
cana-1817	460	15	3d	3d	PROPN
cana-1817	460	16	medical	medical	ADJ
cana-1817	460	17	image	image	NOUN
cana-1817	460	18	segmentation	segmentation	NOUN
cana-1817	460	19	,	,	PUNCT
cana-1817	460	20	”	"	PUNCT
cana-1817	460	21	pp	pp	ADV
cana-1817	460	22	.	.	PUNCT
cana-1817	461	1	1748–1758	1748–1758	NUM
cana-1817	461	2	,	,	PUNCT
cana-1817	461	3	2022	2022	NUM
cana-1817	461	4	,	,	PUNCT
cana-1817	461	5	doi	doi	NOUN
cana-1817	461	6	:	:	PUNCT
cana-1817	461	7	10.1109	10.1109	NUM
cana-1817	461	8	/	/	SYM
cana-1817	461	9	wacv51458.2022.00181	wacv51458.2022.00181	NOUN
cana-1817	461	10	.	.	PUNCT
cana-1817	462	1	[	[	X
cana-1817	462	2	39	39	NUM
cana-1817	462	3	]	]	PUNCT
cana-1817	462	4	j.	j.	PROPN
cana-1817	462	5	wang	wang	PROPN
cana-1817	462	6	,	,	PUNCT
cana-1817	462	7	h.	h.	PROPN
cana-1817	462	8	zhao	zhao	PROPN
cana-1817	462	9	,	,	PUNCT
cana-1817	462	10	w.	w.	PROPN
cana-1817	462	11	liang	liang	PROPN
cana-1817	462	12	,	,	PUNCT
cana-1817	462	13	s.	s.	PROPN
cana-1817	462	14	wang	wang	PROPN
cana-1817	462	15	,	,	PUNCT
cana-1817	462	16	and	and	CCONJ
cana-1817	462	17	y.	y.	PROPN
cana-1817	462	18	zhang	zhang	PROPN
cana-1817	462	19	,	,	PUNCT
cana-1817	462	20	“	"	PUNCT
cana-1817	462	21	cross	cross	ADJ
cana-1817	462	22	-	-	ADJ
cana-1817	462	23	convolutional	convolutional	ADJ
cana-1817	462	24	transformer	transformer	NOUN
cana-1817	462	25	for	for	ADP
cana-1817	462	26	automated	automate	VERB
cana-1817	462	27	multiorgans	multiorgan	NOUN
cana-1817	462	28	segmentation	segmentation	NOUN
cana-1817	462	29	in	in	ADP
cana-1817	462	30	a	a	DET
cana-1817	462	31	variety	variety	NOUN
cana-1817	462	32	of	of	ADP
cana-1817	462	33	medical	medical	ADJ
cana-1817	462	34	images	image	NOUN
cana-1817	462	35	,	,	PUNCT
cana-1817	462	36	”	"	PUNCT
cana-1817	462	37	phys	phy	NOUN
cana-1817	462	38	.	.	PUNCT
cana-1817	462	39	med	med	PROPN
cana-1817	462	40	.	.	PUNCT
cana-1817	463	1	biol	biol	PROPN
cana-1817	463	2	.	.	PUNCT
cana-1817	464	1	,	,	PUNCT
cana-1817	464	2	vol	vol	NOUN
cana-1817	464	3	.	.	PROPN
cana-1817	465	1	68	68	NUM
cana-1817	465	2	,	,	PUNCT
cana-1817	465	3	no	no	INTJ
cana-1817	465	4	.	.	NOUN
cana-1817	465	5	3	3	NUM
cana-1817	465	6	,	,	PUNCT
cana-1817	465	7	2023	2023	NUM
cana-1817	465	8	,	,	PUNCT
cana-1817	465	9	doi	doi	NOUN
cana-1817	465	10	:	:	PUNCT
cana-1817	465	11	10.1088/13616560	10.1088/13616560	NUM
cana-1817	465	12	/	/	SYM
cana-1817	465	13	acb19a	acb19a	NOUN
cana-1817	465	14	.	.	PUNCT
cana-1817	466	1	[	[	X
cana-1817	466	2	40	40	NUM
cana-1817	466	3	]	]	PUNCT
cana-1817	466	4	j.	j.	PROPN
cana-1817	466	5	bullock	bullock	PROPN
cana-1817	466	6	,	,	PUNCT
cana-1817	466	7	c.	c.	PROPN
cana-1817	466	8	cuesta	cuesta	PROPN
cana-1817	466	9	-	-	PUNCT
cana-1817	466	10	lazaro	lazaro	NOUN
cana-1817	466	11	,	,	PUNCT
cana-1817	466	12	and	and	CCONJ
cana-1817	466	13	a.	a.	NOUN
cana-1817	466	14	quera	quera	PROPN
cana-1817	466	15	-	-	PUNCT
cana-1817	466	16	bofarull	bofarull	NOUN
cana-1817	466	17	,	,	PUNCT
cana-1817	466	18	“	"	PUNCT
cana-1817	466	19	xnet	xnet	PROPN
cana-1817	466	20	:	:	PUNCT
cana-1817	466	21	a	a	DET
cana-1817	466	22	convolutional	convolutional	ADJ
cana-1817	466	23	neural	neural	ADJ
cana-1817	466	24	network	network	NOUN
cana-1817	466	25	(	(	PUNCT
cana-1817	466	26	cnn	cnn	PROPN
cana-1817	466	27	)	)	PUNCT
cana-1817	466	28	implementation	implementation	NOUN
cana-1817	466	29	for	for	ADP
cana-1817	466	30	medical	medical	ADJ
cana-1817	466	31	x	x	ADJ
cana-1817	466	32	-	-	NOUN
cana-1817	466	33	ray	ray	NOUN
cana-1817	466	34	image	image	NOUN
cana-1817	466	35	segmentation	segmentation	NOUN
cana-1817	466	36	suitable	suitable	ADJ
cana-1817	466	37	for	for	ADP
cana-1817	466	38	small	small	ADJ
cana-1817	466	39	datasets	dataset	NOUN
cana-1817	466	40	,	,	PUNCT
cana-1817	466	41	”	"	PUNCT
cana-1817	466	42	dec	dec	PROPN
cana-1817	466	43	.	.	PROPN
cana-1817	466	44	2018	2018	NUM
cana-1817	466	45	,	,	PUNCT
cana-1817	466	46	doi	doi	NOUN
cana-1817	466	47	:	:	PUNCT
cana-1817	466	48	10.1117/12.2512451	10.1117/12.2512451	NUM
cana-1817	466	49	.	.	PUNCT
cana-1817	467	1	[	[	X
cana-1817	467	2	41	41	NUM
cana-1817	467	3	]	]	PUNCT
cana-1817	467	4	j.	j.	PROPN
cana-1817	467	5	joseph	joseph	PROPN
cana-1817	467	6	,	,	PUNCT
cana-1817	467	7	j.	j.	PROPN
cana-1817	467	8	sivaraman	sivaraman	PROPN
cana-1817	467	9	,	,	PUNCT
cana-1817	467	10	r.	r.	PROPN
cana-1817	467	11	periyasamy	periyasamy	PROPN
cana-1817	467	12	,	,	PUNCT
cana-1817	467	13	and	and	CCONJ
cana-1817	467	14	v.	v.	PROPN
cana-1817	467	15	r.	r.	PROPN
cana-1817	467	16	simi	simi	PROPN
cana-1817	467	17	,	,	PUNCT
cana-1817	467	18	“	"	PUNCT
cana-1817	467	19	an	an	DET
cana-1817	467	20	objective	objective	ADJ
cana-1817	467	21	method	method	NOUN
cana-1817	467	22	to	to	PART
cana-1817	467	23	identify	identify	VERB
cana-1817	467	24	optimum	optimum	ADJ
cana-1817	467	25	clip	clip	NOUN
cana-1817	467	26	-	-	PUNCT
cana-1817	467	27	limit	limit	NOUN
cana-1817	467	28	and	and	CCONJ
cana-1817	467	29	histogram	histogram	NOUN
cana-1817	467	30	specification	specification	NOUN
cana-1817	467	31	of	of	ADP
cana-1817	467	32	contrast	contrast	NOUN
cana-1817	467	33	limited	limit	VERB
cana-1817	467	34	adaptive	adaptive	ADJ
cana-1817	467	35	histogram	histogram	NOUN
cana-1817	467	36	equalization	equalization	NOUN
cana-1817	467	37	for	for	ADP
cana-1817	467	38	mr	mr	PROPN
cana-1817	467	39	images	image	NOUN
cana-1817	467	40	,	,	PUNCT
cana-1817	467	41	”	"	PUNCT
cana-1817	467	42	biocybern	biocybern	NOUN
cana-1817	467	43	.	.	PUNCT
cana-1817	467	44	biomed	biome	VERB
cana-1817	467	45	.	.	PUNCT
cana-1817	468	1	eng	eng	PROPN
cana-1817	468	2	.	.	PROPN
cana-1817	468	3	,	,	PUNCT
cana-1817	468	4	vol	vol	NOUN
cana-1817	468	5	.	.	PROPN
cana-1817	469	1	37	37	NUM
cana-1817	469	2	,	,	PUNCT
cana-1817	469	3	no	no	INTJ
cana-1817	469	4	.	.	NOUN
cana-1817	469	5	3	3	NUM
cana-1817	469	6	,	,	PUNCT
cana-1817	469	7	pp	pp	ADJ
cana-1817	469	8	.	.	PUNCT
cana-1817	470	1	489–497	489–497	NUM
cana-1817	470	2	,	,	PUNCT
cana-1817	470	3	2017	2017	NUM
cana-1817	470	4	,	,	PUNCT
cana-1817	470	5	doi	doi	NOUN
cana-1817	470	6	:	:	PUNCT
cana-1817	470	7	10.1016	10.1016	NUM
cana-1817	470	8	/	/	SYM
cana-1817	470	9	j.bbe.2016.11.006	j.bbe.2016.11.006	PROPN
cana-1817	470	10	.	.	PUNCT
cana-1817	471	1	[	[	X
cana-1817	471	2	42	42	NUM
cana-1817	471	3	]	]	X
cana-1817	471	4	c.	c.	PROPN
cana-1817	471	5	singla	singla	PROPN
cana-1817	471	6	,	,	PUNCT
cana-1817	471	7	r.	r.	PROPN
cana-1817	471	8	kaur	kaur	PROPN
cana-1817	471	9	,	,	PUNCT
cana-1817	471	10	j.	j.	PROPN
cana-1817	471	11	singh	singh	PROPN
cana-1817	471	12	,	,	PUNCT
cana-1817	471	13	n.	n.	PROPN
cana-1817	471	14	nisha	nisha	PROPN
cana-1817	471	15	,	,	PUNCT
cana-1817	471	16	a.	a.	PROPN
cana-1817	471	17	k.	k.	PROPN
cana-1817	471	18	singh	singh	PROPN
cana-1817	471	19	,	,	PUNCT
cana-1817	471	20	and	and	CCONJ
cana-1817	471	21	t.	t.	PROPN
cana-1817	471	22	singh	singh	PROPN
cana-1817	471	23	,	,	PUNCT
cana-1817	471	24	“	"	PUNCT
cana-1817	471	25	fine	fine	ADJ
cana-1817	471	26	tuned	tune	VERB
cana-1817	471	27	pre	pre	ADJ
cana-1817	471	28	-	-	ADJ
cana-1817	471	29	trained	train	VERB
cana-1817	471	30	deep	deep	ADJ
cana-1817	471	31	neural	neural	ADJ
cana-1817	471	32	network	network	NOUN
cana-1817	471	33	for	for	ADP
cana-1817	471	34	automatic	automatic	ADJ
cana-1817	471	35	detection	detection	NOUN
cana-1817	471	36	of	of	ADP
cana-1817	471	37	diabetic	diabetic	ADJ
cana-1817	471	38	retinopathy	retinopathy	NOUN
cana-1817	471	39	using	use	VERB
cana-1817	471	40	fundus	fundus	NOUN
cana-1817	471	41	images	image	NOUN
cana-1817	471	42	,	,	PUNCT
cana-1817	471	43	”	"	PUNCT
cana-1817	471	44	int	int	NOUN
cana-1817	471	45	.	.	PUNCT
cana-1817	472	1	j.	j.	PROPN
cana-1817	472	2	intell	intell	PROPN
cana-1817	472	3	.	.	PUNCT
cana-1817	473	1	syst	syst	PROPN
cana-1817	473	2	.	.	PUNCT
cana-1817	474	1	appl	appl	PROPN
cana-1817	474	2	.	.	PUNCT
cana-1817	475	1	eng	eng	PROPN
cana-1817	475	2	.	.	PROPN
cana-1817	475	3	,	,	PUNCT
cana-1817	475	4	vol	vol	NOUN
cana-1817	475	5	.	.	PROPN
cana-1817	475	6	11	11	NUM
cana-1817	475	7	,	,	PUNCT
cana-1817	475	8	no	no	INTJ
cana-1817	475	9	.	.	NOUN
cana-1817	476	1	9s	9s	NUM
cana-1817	476	2	,	,	PUNCT
cana-1817	476	3	pp	pp	ADJ
cana-1817	476	4	.	.	PUNCT
cana-1817	477	1	735–742	735–742	NUM
cana-1817	477	2	,	,	PUNCT
cana-1817	477	3	2023	2023	NUM
cana-1817	477	4	.	.	PUNCT
cana-1817	478	1	[	[	X
cana-1817	478	2	43	43	NUM
cana-1817	478	3	]	]	X
cana-1817	478	4	g.	g.	PROPN
cana-1817	478	5	huang	huang	PROPN
cana-1817	478	6	,	,	PUNCT
cana-1817	478	7	z.	z.	PROPN
cana-1817	478	8	liu	liu	PROPN
cana-1817	478	9	,	,	PUNCT
cana-1817	478	10	l.	l.	PROPN
cana-1817	478	11	van	van	PROPN
cana-1817	478	12	der	der	PROPN
cana-1817	478	13	maaten	maaten	VERB
cana-1817	478	14	,	,	PUNCT
cana-1817	478	15	and	and	CCONJ
cana-1817	478	16	k.	k.	PROPN
cana-1817	478	17	q.	q.	PROPN
cana-1817	478	18	weinberger	weinberger	PROPN
cana-1817	478	19	,	,	PUNCT
cana-1817	478	20	“	"	PUNCT
cana-1817	478	21	densely	densely	ADV
cana-1817	478	22	connected	connected	ADJ
cana-1817	478	23	convolutional	convolutional	ADJ
cana-1817	478	24	networks	network	NOUN
cana-1817	478	25	,	,	PUNCT
cana-1817	478	26	”	"	PUNCT
cana-1817	478	27	proc	proc	NOUN
cana-1817	478	28	.	.	PUNCT
cana-1817	479	1	30th	30th	ADJ
cana-1817	479	2	ieee	ieee	NOUN
cana-1817	479	3	conf	conf	NOUN
cana-1817	479	4	.	.	PUNCT
cana-1817	480	1	comput	comput	NOUN
cana-1817	480	2	.	.	PUNCT
cana-1817	481	1	vis	vis	X
cana-1817	481	2	.	.	NOUN
cana-1817	481	3	pattern	pattern	NOUN
cana-1817	481	4	recognition	recognition	NOUN
cana-1817	481	5	,	,	PUNCT
cana-1817	481	6	cvpr	cvpr	NOUN
cana-1817	481	7	2017	2017	NUM
cana-1817	481	8	,	,	PUNCT
cana-1817	481	9	vol	vol	NOUN
cana-1817	481	10	.	.	PROPN
cana-1817	481	11	2017	2017	NUM
cana-1817	481	12	–	–	PUNCT
cana-1817	481	13	janua	janua	NOUN
cana-1817	481	14	,	,	PUNCT
cana-1817	481	15	pp	pp	ADJ
cana-1817	481	16	.	.	PUNCT
cana-1817	481	17	2261–2269	2261–2269	NUM
cana-1817	481	18	,	,	PUNCT
cana-1817	481	19	2017	2017	NUM
cana-1817	481	20	,	,	PUNCT
cana-1817	481	21	doi	doi	NOUN
cana-1817	481	22	:	:	PUNCT
cana-1817	481	23	10.1109	10.1109	NUM
cana-1817	481	24	/	/	SYM
cana-1817	481	25	cvpr.2017.243	cvpr.2017.243	NOUN
cana-1817	481	26	.	.	PUNCT
cana-1817	482	1	[	[	X
cana-1817	482	2	44	44	NUM
cana-1817	482	3	]	]	PUNCT
cana-1817	482	4	a.	a.	PROPN
cana-1817	482	5	l.	l.	PROPN
cana-1817	482	6	simpson	simpson	PROPN
cana-1817	482	7	et	et	PROPN
cana-1817	482	8	al	al	PROPN
cana-1817	482	9	.	.	PROPN
cana-1817	482	10	,	,	PUNCT
cana-1817	482	11	“	"	PUNCT
cana-1817	482	12	a	a	DET
cana-1817	482	13	large	large	ADJ
cana-1817	482	14	annotated	annotated	ADJ
cana-1817	482	15	medical	medical	ADJ
cana-1817	482	16	image	image	NOUN
cana-1817	482	17	dataset	dataset	VERB
cana-1817	482	18	for	for	ADP
cana-1817	482	19	the	the	DET
cana-1817	482	20	development	development	NOUN
cana-1817	482	21	and	and	CCONJ
cana-1817	482	22	evaluation	evaluation	NOUN
cana-1817	482	23	of	of	ADP
cana-1817	482	24	segmentation	segmentation	NOUN
cana-1817	482	25	algorithms	algorithm	NOUN
cana-1817	482	26	,	,	PUNCT
cana-1817	482	27	”	"	PUNCT
cana-1817	482	28	2019	2019	NUM
cana-1817	482	29	,	,	PUNCT
cana-1817	482	30	[	[	X
cana-1817	482	31	online	online	X
cana-1817	482	32	]	]	X
cana-1817	482	33	.	.	PUNCT
cana-1817	483	1	available	available	ADJ
cana-1817	483	2	:	:	PUNCT
cana-1817	484	1	http://arxiv.org/abs/1902.09063	http://arxiv.org/abs/1902.09063	PROPN
cana-1817	484	2	[	[	X
cana-1817	484	3	45	45	NUM
cana-1817	484	4	]	]	PUNCT
cana-1817	484	5	j.	j.	PROPN
cana-1817	484	6	ma	ma	PROPN
cana-1817	484	7	et	et	PROPN
cana-1817	484	8	al	al	PROPN
cana-1817	484	9	.	.	PROPN
cana-1817	484	10	,	,	PUNCT
cana-1817	484	11	“	"	PUNCT
cana-1817	484	12	abdomenct-1k	abdomenct-1k	NOUN
cana-1817	484	13	:	:	PUNCT
cana-1817	484	14	is	be	AUX
cana-1817	484	15	abdominal	abdominal	ADJ
cana-1817	484	16	organ	organ	NOUN
cana-1817	484	17	segmentation	segmentation	NOUN
cana-1817	484	18	a	a	DET
cana-1817	484	19	solved	solved	ADJ
cana-1817	484	20	problem	problem	NOUN
cana-1817	484	21	,	,	PUNCT
cana-1817	484	22	”	"	PUNCT
cana-1817	484	23	ieee	ieee	NOUN
cana-1817	484	24	trans	tran	NOUN
cana-1817	484	25	.	.	PUNCT
cana-1817	485	1	pattern	pattern	PROPN
cana-1817	485	2	anal	anal	PROPN
cana-1817	485	3	.	.	PUNCT
cana-1817	486	1	mach	mach	PROPN
cana-1817	486	2	.	.	PUNCT
cana-1817	487	1	intell	intell	PROPN
cana-1817	487	2	.	.	PUNCT
cana-1817	487	3	,	,	PUNCT
cana-1817	488	1	pp	pp	PROPN
cana-1817	488	2	.	.	PUNCT
cana-1817	489	1	1–19	1–19	NOUN
cana-1817	489	2	,	,	PUNCT
cana-1817	489	3	2021	2021	NUM
cana-1817	489	4	,	,	PUNCT
cana-1817	489	5	doi	doi	NOUN
cana-1817	489	6	:	:	PUNCT
cana-1817	489	7	10.1109	10.1109	NUM
cana-1817	489	8	/	/	SYM
cana-1817	489	9	tpami.2021.3100536	tpami.2021.3100536	NOUN
cana-1817	489	10	.	.	PUNCT
cana-1817	490	1	[	[	X
cana-1817	490	2	46	46	NUM
cana-1817	490	3	]	]	X
cana-1817	490	4	w.	w.	PROPN
cana-1817	490	5	liu	liu	PROPN
cana-1817	490	6	,	,	PUNCT
cana-1817	490	7	w.	w.	PROPN
cana-1817	490	8	xu	xu	PROPN
cana-1817	490	9	,	,	PUNCT
cana-1817	490	10	s.	s.	PROPN
cana-1817	490	11	yan	yan	PROPN
cana-1817	490	12	,	,	PUNCT
cana-1817	490	13	l.	l.	PROPN
cana-1817	490	14	wang	wang	PROPN
cana-1817	490	15	,	,	PUNCT
cana-1817	490	16	h.	h.	PROPN
cana-1817	490	17	li	li	PROPN
cana-1817	490	18	,	,	PUNCT
cana-1817	490	19	and	and	CCONJ
cana-1817	490	20	h.	h.	PROPN
cana-1817	490	21	yang	yang	PROPN
cana-1817	490	22	,	,	PUNCT
cana-1817	490	23	“	"	PUNCT
cana-1817	490	24	combining	combine	VERB
cana-1817	490	25	self	self	NOUN
cana-1817	490	26	-	-	PUNCT
cana-1817	490	27	training	training	NOUN
cana-1817	490	28	and	and	CCONJ
cana-1817	490	29	hybrid	hybrid	ADJ
cana-1817	490	30	architecture	architecture	NOUN
cana-1817	490	31	for	for	ADP
cana-1817	490	32	semi	semi	ADJ
cana-1817	490	33	-	-	ADJ
cana-1817	490	34	supervised	supervised	ADJ
cana-1817	490	35	abdominal	abdominal	ADJ
cana-1817	490	36	organ	organ	NOUN
cana-1817	490	37	segmentation	segmentation	NOUN
cana-1817	490	38	,	,	PUNCT
cana-1817	490	39	”	"	PUNCT
cana-1817	490	40	lect	lect	NOUN
cana-1817	490	41	.	.	PUNCT
cana-1817	491	1	notes	note	VERB
cana-1817	491	2	comput	comput	ADJ
cana-1817	491	3	.	.	PUNCT
cana-1817	492	1	sci	sci	PROPN
cana-1817	492	2	.	.	PUNCT
cana-1817	493	1	(	(	PUNCT
cana-1817	493	2	including	include	VERB
cana-1817	493	3	subser	subser	NOUN
cana-1817	493	4	.	.	PUNCT
cana-1817	494	1	lect	lect	PROPN
cana-1817	494	2	.	.	PUNCT
cana-1817	495	1	notes	note	NOUN
cana-1817	495	2	artif	artif	VERB
cana-1817	495	3	.	.	PUNCT
cana-1817	496	1	intell	intell	PROPN
cana-1817	496	2	.	.	PUNCT
cana-1817	497	1	lect	lect	PROPN
cana-1817	497	2	.	.	PUNCT
cana-1817	498	1	notes	note	VERB
cana-1817	498	2	bioinformatics	bioinformatics	NOUN
cana-1817	498	3	)	)	PUNCT
cana-1817	498	4	,	,	PUNCT
cana-1817	498	5	vol	vol	NOUN
cana-1817	498	6	.	.	PUNCT
cana-1817	499	1	13816	13816	NUM
cana-1817	499	2	lncs	lncs	PROPN
cana-1817	499	3	,	,	PUNCT
cana-1817	499	4	pp	pp	X
cana-1817	499	5	.	.	PUNCT
cana-1817	500	1	281–292	281–292	NUM
cana-1817	500	2	,	,	PUNCT
cana-1817	500	3	2022	2022	NUM
cana-1817	500	4	,	,	PUNCT
cana-1817	500	5	doi	doi	NOUN
cana-1817	500	6	:	:	PUNCT
cana-1817	500	7	10.1007/978	10.1007/978	NUM
cana-1817	500	8	-	-	SYM
cana-1817	500	9	3	3	NUM
cana-1817	500	10	-	-	PUNCT
cana-1817	500	11	031	031	NUM
cana-1817	500	12	-	-	PUNCT
cana-1817	500	13	239113_25	239113_25	NOUN
cana-1817	500	14	.	.	PUNCT
cana-1817	501	1	communications	communication	NOUN
cana-1817	501	2	on	on	ADP
cana-1817	501	3	applied	apply	VERB
cana-1817	501	4	nonlinear	nonlinear	ADJ
cana-1817	501	5	analysis	analysis	NOUN
cana-1817	501	6	issn	issn	NOUN
cana-1817	501	7	:	:	PUNCT
cana-1817	501	8	1074	1074	NUM
cana-1817	501	9	-	-	PUNCT
cana-1817	501	10	133x	133x	NUM
cana-1817	501	11	vol	vol	NOUN
cana-1817	501	12	32	32	NUM
cana-1817	501	13	no	no	NOUN
cana-1817	501	14	.	.	NOUN
cana-1817	501	15	2	2	NUM
cana-1817	501	16	(	(	PUNCT
cana-1817	501	17	2025	2025	NUM
cana-1817	501	18	)	)	PUNCT
cana-1817	501	19	580	580	NUM
cana-1817	502	1	[	[	X
cana-1817	502	2	47	47	NUM
cana-1817	502	3	]	]	X
cana-1817	502	4	y.	y.	PROPN
cana-1817	502	5	huang	huang	PROPN
cana-1817	502	6	,	,	PUNCT
cana-1817	502	7	h.	h.	PROPN
cana-1817	502	8	zhang	zhang	PROPN
cana-1817	502	9	,	,	PUNCT
cana-1817	502	10	y.	y.	PROPN
cana-1817	502	11	yan	yan	PROPN
cana-1817	502	12	,	,	PUNCT
cana-1817	502	13	and	and	CCONJ
cana-1817	502	14	h.	h.	PROPN
cana-1817	502	15	hassan	hassan	PROPN
cana-1817	502	16	,	,	PUNCT
cana-1817	502	17	“	"	PUNCT
cana-1817	502	18	3d	3d	NUM
cana-1817	502	19	cross	cross	ADJ
cana-1817	502	20	-	-	ADJ
cana-1817	502	21	pseudo	pseudo	ADJ
cana-1817	502	22	supervision	supervision	NOUN
cana-1817	502	23	(	(	PUNCT
cana-1817	502	24	3d	3d	NOUN
cana-1817	502	25	-	-	PUNCT
cana-1817	502	26	cps	cp	NOUN
cana-1817	502	27	):	):	PUNCT
cana-1817	502	28	a	a	DET
cana-1817	502	29	semi	semi	ADJ
cana-1817	502	30	-	-	ADJ
cana-1817	502	31	supervised	supervised	ADJ
cana-1817	502	32	nnunet	nnunet	NOUN
cana-1817	502	33	architecture	architecture	NOUN
cana-1817	502	34	for	for	ADP
cana-1817	502	35	abdominal	abdominal	ADJ
cana-1817	502	36	organ	organ	NOUN
cana-1817	502	37	segmentation	segmentation	NOUN
cana-1817	502	38	,	,	PUNCT
cana-1817	502	39	”	"	PUNCT
cana-1817	502	40	lect	lect	NOUN
cana-1817	502	41	.	.	PUNCT
cana-1817	503	1	notes	note	VERB
cana-1817	503	2	comput	comput	ADJ
cana-1817	503	3	.	.	PUNCT
cana-1817	504	1	sci	sci	PROPN
cana-1817	504	2	.	.	PUNCT
cana-1817	505	1	(	(	PUNCT
cana-1817	505	2	including	include	VERB
cana-1817	505	3	subser	subser	NOUN
cana-1817	505	4	.	.	PUNCT
cana-1817	506	1	lect	lect	PROPN
cana-1817	506	2	.	.	PUNCT
cana-1817	507	1	notes	note	NOUN
cana-1817	507	2	artif	artif	VERB
cana-1817	507	3	.	.	PUNCT
cana-1817	508	1	intell	intell	PROPN
cana-1817	508	2	.	.	PUNCT
cana-1817	509	1	lect	lect	PROPN
cana-1817	509	2	.	.	PUNCT
cana-1817	510	1	notes	note	VERB
cana-1817	510	2	bioinformatics	bioinformatics	NOUN
cana-1817	510	3	)	)	PUNCT
cana-1817	510	4	,	,	PUNCT
cana-1817	510	5	vol	vol	NOUN
cana-1817	510	6	.	.	PUNCT
cana-1817	511	1	13816	13816	NUM
cana-1817	511	2	lncs	lncs	PROPN
cana-1817	511	3	,	,	PUNCT
cana-1817	511	4	pp	pp	X
cana-1817	511	5	.	.	PUNCT
cana-1817	512	1	87–100	87–100	NUM
cana-1817	512	2	,	,	PUNCT
cana-1817	512	3	2022	2022	NUM
cana-1817	512	4	,	,	PUNCT
cana-1817	512	5	doi	doi	NOUN
cana-1817	512	6	:	:	PUNCT
cana-1817	512	7	10.1007/978	10.1007/978	NUM
cana-1817	512	8	-	-	SYM
cana-1817	512	9	3	3	NUM
cana-1817	512	10	-	-	PUNCT
cana-1817	512	11	031	031	NUM
cana-1817	512	12	-	-	PUNCT
cana-1817	512	13	239113_9	239113_9	NOUN
cana-1817	512	14	.	.	PUNCT
cana-1817	513	1	[	[	X
cana-1817	513	2	48	48	NUM
cana-1817	513	3	]	]	PUNCT
cana-1817	513	4	j.	j.	PROPN
cana-1817	513	5	w.	w.	PROPN
cana-1817	513	6	choi	choi	PROPN
cana-1817	513	7	,	,	PUNCT
cana-1817	513	8	“	"	PUNCT
cana-1817	513	9	knowledge	knowledge	NOUN
cana-1817	513	10	distillation	distillation	NOUN
cana-1817	513	11	from	from	ADP
cana-1817	513	12	cross	cross	NOUN
cana-1817	513	13	teaching	teaching	NOUN
cana-1817	513	14	teachers	teacher	NOUN
cana-1817	513	15	for	for	ADP
cana-1817	513	16	efficient	efficient	ADJ
cana-1817	513	17	semi	semi	ADJ
cana-1817	513	18	-	-	ADJ
cana-1817	513	19	supervised	supervised	ADJ
cana-1817	513	20	abdominal	abdominal	ADJ
cana-1817	513	21	organ	organ	NOUN
cana-1817	513	22	segmentation	segmentation	NOUN
cana-1817	513	23	in	in	ADP
cana-1817	513	24	ct	ct	PROPN
cana-1817	513	25	,	,	PUNCT
cana-1817	513	26	”	"	PUNCT
cana-1817	513	27	lect	lect	NOUN
cana-1817	513	28	.	.	PUNCT
cana-1817	514	1	notes	note	VERB
cana-1817	514	2	comput	comput	ADJ
cana-1817	514	3	.	.	PUNCT
cana-1817	515	1	sci	sci	PROPN
cana-1817	515	2	.	.	PUNCT
cana-1817	516	1	(	(	PUNCT
cana-1817	516	2	including	include	VERB
cana-1817	516	3	subser	subser	NOUN
cana-1817	516	4	.	.	PUNCT
cana-1817	517	1	lect	lect	PROPN
cana-1817	517	2	.	.	PUNCT
cana-1817	518	1	notes	note	NOUN
cana-1817	518	2	artif	artif	VERB
cana-1817	518	3	.	.	PUNCT
cana-1817	519	1	intell	intell	PROPN
cana-1817	519	2	.	.	PUNCT
cana-1817	520	1	lect	lect	PROPN
cana-1817	520	2	.	.	PUNCT
cana-1817	521	1	notes	note	VERB
cana-1817	521	2	bioinformatics	bioinformatics	NOUN
cana-1817	521	3	)	)	PUNCT
cana-1817	521	4	,	,	PUNCT
cana-1817	521	5	vol	vol	NOUN
cana-1817	521	6	.	.	PUNCT
cana-1817	522	1	13816	13816	NUM
cana-1817	522	2	lncs	lncs	PROPN
cana-1817	522	3	,	,	PUNCT
cana-1817	522	4	pp	pp	ADV
cana-1817	522	5	.	.	PUNCT
cana-1817	523	1	101–115	101–115	NUM
cana-1817	523	2	,	,	PUNCT
cana-1817	523	3	2022	2022	NUM
cana-1817	523	4	,	,	PUNCT
cana-1817	523	5	doi	doi	NOUN
cana-1817	523	6	:	:	PUNCT
cana-1817	523	7	10.1007/978	10.1007/978	NUM
cana-1817	523	8	-	-	SYM
cana-1817	523	9	3	3	NUM
cana-1817	523	10	-	-	PUNCT
cana-1817	523	11	031	031	NUM
cana-1817	523	12	-	-	PUNCT
cana-1817	523	13	23911	23911	NUM
cana-1817	523	14	-	-	PUNCT
cana-1817	523	15	3_10	3_10	NUM
cana-1817	523	16	.	.	PUNCT