id	sid	tid	token	lemma	pos
fcis-11149	1	1	frontiers	frontier	NOUN
fcis-11149	1	2	in	in	ADP
fcis-11149	1	3	computing	computing	NOUN
fcis-11149	1	4	and	and	CCONJ
fcis-11149	1	5	intelligent	intelligent	ADJ
fcis-11149	1	6	systems	system	NOUN
fcis-11149	1	7	issn	issn	VERB
fcis-11149	1	8	:	:	PUNCT
fcis-11149	1	9	2832	2832	NUM
fcis-11149	1	10	-	-	SYM
fcis-11149	1	11	6024	6024	NUM
fcis-11149	1	12	|	|	NOUN
fcis-11149	1	13	vol	vol	NOUN
fcis-11149	1	14	.	.	PROPN
fcis-11149	2	1	4	4	NUM
fcis-11149	2	2	,	,	PUNCT
fcis-11149	2	3	no	no	INTJ
fcis-11149	2	4	.	.	NOUN
fcis-11149	2	5	3	3	NUM
fcis-11149	2	6	,	,	PUNCT
fcis-11149	2	7	2023	2023	NUM
fcis-11149	2	8	89	89	NUM
fcis-11149	2	9	a	a	DET
fcis-11149	2	10	review	review	NOUN
fcis-11149	2	11	of	of	ADP
fcis-11149	2	12	medical	medical	ADJ
fcis-11149	2	13	image	image	NOUN
fcis-11149	2	14	segmentation	segmentation	NOUN
fcis-11149	2	15	techniques	technique	NOUN
fcis-11149	2	16	bihan	bihan	ADP
fcis-11149	2	17	fan	fan	PROPN
fcis-11149	3	1	*	*	PROPN
fcis-11149	3	2	,	,	PUNCT
fcis-11149	3	3	ji	ji	PROPN
fcis-11149	3	4	zhang	zhang	PROPN
fcis-11149	3	5	north	north	PROPN
fcis-11149	3	6	china	china	PROPN
fcis-11149	3	7	electric	electric	PROPN
fcis-11149	3	8	power	power	PROPN
fcis-11149	3	9	university	university	PROPN
fcis-11149	3	10	,	,	PUNCT
fcis-11149	3	11	baoding	baoding	PROPN
fcis-11149	3	12	071000	071000	NUM
fcis-11149	3	13	,	,	PUNCT
fcis-11149	3	14	china	china	PROPN
fcis-11149	3	15	abstract	abstract	NOUN
fcis-11149	3	16	:	:	PUNCT
fcis-11149	3	17	medical	medical	ADJ
fcis-11149	3	18	image	image	NOUN
fcis-11149	3	19	segmentation	segmentation	NOUN
fcis-11149	3	20	is	be	AUX
fcis-11149	3	21	a	a	DET
fcis-11149	3	22	key	key	ADJ
fcis-11149	3	23	task	task	NOUN
fcis-11149	3	24	in	in	ADP
fcis-11149	3	25	medical	medical	ADJ
fcis-11149	3	26	imaging	imaging	NOUN
fcis-11149	3	27	processing	processing	NOUN
fcis-11149	3	28	.	.	PUNCT
fcis-11149	4	1	it	it	PRON
fcis-11149	4	2	can	can	AUX
fcis-11149	4	3	segment	segment	VERB
fcis-11149	4	4	different	different	ADJ
fcis-11149	4	5	tissues	tissue	NOUN
fcis-11149	4	6	,	,	PUNCT
fcis-11149	4	7	organs	organ	NOUN
fcis-11149	4	8	or	or	CCONJ
fcis-11149	4	9	lesions	lesion	NOUN
fcis-11149	4	10	in	in	ADP
fcis-11149	4	11	medical	medical	ADJ
fcis-11149	4	12	images	image	NOUN
fcis-11149	4	13	to	to	PART
fcis-11149	4	14	provide	provide	VERB
fcis-11149	4	15	doctors	doctor	NOUN
fcis-11149	4	16	with	with	ADP
fcis-11149	4	17	more	more	ADV
fcis-11149	4	18	accurate	accurate	ADJ
fcis-11149	4	19	diagnosis	diagnosis	NOUN
fcis-11149	4	20	and	and	CCONJ
fcis-11149	4	21	treatment	treatment	NOUN
fcis-11149	4	22	suggestions	suggestion	NOUN
fcis-11149	4	23	.	.	PUNCT
fcis-11149	5	1	with	with	ADP
fcis-11149	5	2	the	the	DET
fcis-11149	5	3	continuous	continuous	ADJ
fcis-11149	5	4	development	development	NOUN
fcis-11149	5	5	of	of	ADP
fcis-11149	5	6	computer	computer	NOUN
fcis-11149	5	7	science	science	NOUN
fcis-11149	5	8	and	and	CCONJ
fcis-11149	5	9	medical	medical	ADJ
fcis-11149	5	10	technology	technology	NOUN
fcis-11149	5	11	,	,	PUNCT
fcis-11149	5	12	medical	medical	ADJ
fcis-11149	5	13	image	image	NOUN
fcis-11149	5	14	segmentation	segmentation	NOUN
fcis-11149	5	15	technology	technology	NOUN
fcis-11149	5	16	has	have	AUX
fcis-11149	5	17	also	also	ADV
fcis-11149	5	18	undergone	undergo	VERB
fcis-11149	5	19	rapid	rapid	ADJ
fcis-11149	5	20	development	development	NOUN
fcis-11149	5	21	.	.	PUNCT
fcis-11149	6	1	this	this	DET
fcis-11149	6	2	article	article	NOUN
fcis-11149	6	3	will	will	AUX
fcis-11149	6	4	provide	provide	VERB
fcis-11149	6	5	an	an	DET
fcis-11149	6	6	overview	overview	NOUN
fcis-11149	6	7	of	of	ADP
fcis-11149	6	8	medical	medical	ADJ
fcis-11149	6	9	image	image	NOUN
fcis-11149	6	10	segmentation	segmentation	NOUN
fcis-11149	6	11	technology	technology	NOUN
fcis-11149	6	12	from	from	ADP
fcis-11149	6	13	concepts	concept	NOUN
fcis-11149	6	14	,	,	PUNCT
fcis-11149	6	15	commonly	commonly	ADV
fcis-11149	6	16	used	use	VERB
fcis-11149	6	17	methods	method	NOUN
fcis-11149	6	18	,	,	PUNCT
fcis-11149	6	19	and	and	CCONJ
fcis-11149	6	20	applications	application	NOUN
fcis-11149	6	21	,	,	PUNCT
fcis-11149	6	22	and	and	CCONJ
fcis-11149	6	23	introduce	introduce	VERB
fcis-11149	6	24	some	some	PRON
fcis-11149	6	25	of	of	ADP
fcis-11149	6	26	the	the	DET
fcis-11149	6	27	latest	late	ADJ
fcis-11149	6	28	research	research	NOUN
fcis-11149	6	29	results	result	NOUN
fcis-11149	6	30	.	.	PUNCT
fcis-11149	7	1	keywords	keyword	NOUN
fcis-11149	7	2	:	:	PUNCT
fcis-11149	7	3	medical	medical	ADJ
fcis-11149	7	4	images	image	NOUN
fcis-11149	7	5	;	;	PUNCT
fcis-11149	7	6	image	image	NOUN
fcis-11149	7	7	segmentation	segmentation	NOUN
fcis-11149	7	8	;	;	PUNCT
fcis-11149	7	9	deep	deep	ADJ
fcis-11149	7	10	learning	learning	NOUN
fcis-11149	7	11	;	;	PUNCT
fcis-11149	7	12	summarize	summarize	VERB
fcis-11149	7	13	.	.	PUNCT
fcis-11149	8	1	1	1	X
fcis-11149	8	2	.	.	X
fcis-11149	8	3	introduction	introduction	NOUN
fcis-11149	8	4	medical	medical	ADJ
fcis-11149	8	5	image	image	NOUN
fcis-11149	8	6	segmentation	segmentation	NOUN
fcis-11149	8	7	technology	technology	NOUN
fcis-11149	8	8	is	be	AUX
fcis-11149	8	9	an	an	DET
fcis-11149	8	10	important	important	ADJ
fcis-11149	8	11	technology	technology	NOUN
fcis-11149	8	12	in	in	ADP
fcis-11149	8	13	the	the	DET
fcis-11149	8	14	field	field	NOUN
fcis-11149	8	15	of	of	ADP
fcis-11149	8	16	medical	medical	ADJ
fcis-11149	8	17	image	image	NOUN
fcis-11149	8	18	processing	processing	NOUN
fcis-11149	8	19	,	,	PUNCT
fcis-11149	8	20	aiming	aim	VERB
fcis-11149	8	21	to	to	PART
fcis-11149	8	22	segment	segment	VERB
fcis-11149	8	23	different	different	ADJ
fcis-11149	8	24	tissues	tissue	NOUN
fcis-11149	8	25	,	,	PUNCT
fcis-11149	8	26	organs	organ	NOUN
fcis-11149	8	27	,	,	PUNCT
fcis-11149	8	28	or	or	CCONJ
fcis-11149	8	29	lesions	lesion	NOUN
fcis-11149	8	30	in	in	ADP
fcis-11149	8	31	medical	medical	ADJ
fcis-11149	8	32	images	image	NOUN
fcis-11149	8	33	for	for	ADP
fcis-11149	8	34	quantitative	quantitative	ADJ
fcis-11149	8	35	analysis	analysis	NOUN
fcis-11149	8	36	and	and	CCONJ
fcis-11149	8	37	disease	disease	NOUN
fcis-11149	8	38	diagnosis	diagnosis	NOUN
fcis-11149	8	39	[	[	X
fcis-11149	8	40	1	1	NUM
fcis-11149	8	41	-	-	SYM
fcis-11149	8	42	2	2	NUM
fcis-11149	8	43	]	]	PUNCT
fcis-11149	8	44	.	.	PUNCT
fcis-11149	9	1	medical	medical	ADJ
fcis-11149	9	2	images	image	NOUN
fcis-11149	9	3	are	be	AUX
fcis-11149	9	4	usually	usually	ADV
fcis-11149	9	5	obtained	obtain	VERB
fcis-11149	9	6	through	through	ADP
fcis-11149	9	7	medical	medical	ADJ
fcis-11149	9	8	imaging	imaging	NOUN
fcis-11149	9	9	equipment	equipment	NOUN
fcis-11149	9	10	(	(	PUNCT
fcis-11149	9	11	such	such	ADJ
fcis-11149	9	12	as	as	ADP
fcis-11149	9	13	x	x	NOUN
fcis-11149	9	14	-	-	NOUN
fcis-11149	9	15	ray	ray	NOUN
fcis-11149	9	16	,	,	PUNCT
fcis-11149	9	17	ct	ct	PROPN
fcis-11149	9	18	,	,	PUNCT
fcis-11149	9	19	mri	mri	NOUN
fcis-11149	9	20	,	,	PUNCT
fcis-11149	9	21	etc	etc	X
fcis-11149	9	22	.	.	X
fcis-11149	9	23	)	)	PUNCT
fcis-11149	9	24	,	,	PUNCT
fcis-11149	9	25	and	and	CCONJ
fcis-11149	9	26	these	these	DET
fcis-11149	9	27	images	image	NOUN
fcis-11149	9	28	contain	contain	VERB
fcis-11149	9	29	different	different	ADJ
fcis-11149	9	30	tissues	tissue	NOUN
fcis-11149	9	31	and	and	CCONJ
fcis-11149	9	32	organs	organ	NOUN
fcis-11149	9	33	in	in	ADP
fcis-11149	9	34	the	the	DET
fcis-11149	9	35	human	human	ADJ
fcis-11149	9	36	body	body	NOUN
fcis-11149	9	37	.	.	PUNCT
fcis-11149	10	1	segmentation	segmentation	NOUN
fcis-11149	10	2	technology	technology	NOUN
fcis-11149	10	3	can	can	AUX
fcis-11149	10	4	help	help	VERB
fcis-11149	10	5	doctors	doctor	NOUN
fcis-11149	10	6	better	well	ADV
fcis-11149	10	7	understand	understand	VERB
fcis-11149	10	8	the	the	DET
fcis-11149	10	9	structure	structure	NOUN
fcis-11149	10	10	in	in	ADP
fcis-11149	10	11	images	image	NOUN
fcis-11149	10	12	,	,	PUNCT
fcis-11149	10	13	while	while	SCONJ
fcis-11149	10	14	also	also	ADV
fcis-11149	10	15	helping	help	VERB
fcis-11149	10	16	to	to	PART
fcis-11149	10	17	automate	automate	VERB
fcis-11149	10	18	image	image	NOUN
fcis-11149	10	19	analysis	analysis	NOUN
fcis-11149	10	20	and	and	CCONJ
fcis-11149	10	21	assist	assist	VERB
fcis-11149	10	22	in	in	ADP
fcis-11149	10	23	diagnosis	diagnosis	NOUN
fcis-11149	10	24	.	.	PUNCT
fcis-11149	11	1	medical	medical	ADJ
fcis-11149	11	2	image	image	NOUN
fcis-11149	11	3	segmentation	segmentation	NOUN
fcis-11149	11	4	technology	technology	NOUN
fcis-11149	11	5	is	be	AUX
fcis-11149	11	6	widely	widely	ADV
fcis-11149	11	7	used	use	VERB
fcis-11149	11	8	in	in	ADP
fcis-11149	11	9	medical	medical	ADJ
fcis-11149	11	10	imaging	imaging	NOUN
fcis-11149	11	11	,	,	PUNCT
fcis-11149	11	12	medical	medical	ADJ
fcis-11149	11	13	research	research	NOUN
fcis-11149	11	14	and	and	CCONJ
fcis-11149	11	15	clinical	clinical	ADJ
fcis-11149	11	16	practice	practice	NOUN
fcis-11149	11	17	[	[	X
fcis-11149	11	18	3	3	NUM
fcis-11149	11	19	-	-	SYM
fcis-11149	11	20	4	4	NUM
fcis-11149	11	21	]	]	PUNCT
fcis-11149	11	22	.	.	PUNCT
fcis-11149	12	1	it	it	PRON
fcis-11149	12	2	can	can	AUX
fcis-11149	12	3	be	be	AUX
fcis-11149	12	4	used	use	VERB
fcis-11149	12	5	for	for	ADP
fcis-11149	12	6	tumor	tumor	NOUN
fcis-11149	12	7	detection	detection	NOUN
fcis-11149	12	8	and	and	CCONJ
fcis-11149	12	9	localization	localization	NOUN
fcis-11149	12	10	,	,	PUNCT
fcis-11149	12	11	vascular	vascular	ADJ
fcis-11149	12	12	analysis	analysis	NOUN
fcis-11149	12	13	,	,	PUNCT
fcis-11149	12	14	brain	brain	NOUN
fcis-11149	12	15	structure	structure	NOUN
fcis-11149	12	16	segmentation	segmentation	NOUN
fcis-11149	12	17	,	,	PUNCT
fcis-11149	12	18	cardiac	cardiac	ADJ
fcis-11149	12	19	function	function	NOUN
fcis-11149	12	20	evaluation	evaluation	NOUN
fcis-11149	12	21	,	,	PUNCT
fcis-11149	12	22	and	and	CCONJ
fcis-11149	12	23	other	other	ADJ
fcis-11149	12	24	aspects	aspect	NOUN
fcis-11149	12	25	.	.	PUNCT
fcis-11149	13	1	the	the	DET
fcis-11149	13	2	development	development	NOUN
fcis-11149	13	3	of	of	ADP
fcis-11149	13	4	medical	medical	ADJ
fcis-11149	13	5	image	image	NOUN
fcis-11149	13	6	segmentation	segmentation	NOUN
fcis-11149	13	7	technology	technology	NOUN
fcis-11149	13	8	not	not	PART
fcis-11149	13	9	only	only	ADV
fcis-11149	13	10	improves	improve	VERB
fcis-11149	13	11	the	the	DET
fcis-11149	13	12	anatomy	anatomy	NOUN
fcis-11149	13	13	and	and	CCONJ
fcis-11149	13	14	functional	functional	ADJ
fcis-11149	13	15	analysis	analysis	NOUN
fcis-11149	13	16	ability	ability	NOUN
fcis-11149	13	17	of	of	ADP
fcis-11149	13	18	medical	medical	ADJ
fcis-11149	13	19	imaging	imaging	NOUN
fcis-11149	13	20	,	,	PUNCT
fcis-11149	13	21	but	but	CCONJ
fcis-11149	13	22	also	also	ADV
fcis-11149	13	23	provides	provide	VERB
fcis-11149	13	24	clinicians	clinician	NOUN
fcis-11149	13	25	with	with	ADP
fcis-11149	13	26	more	more	ADV
fcis-11149	13	27	accurate	accurate	ADJ
fcis-11149	13	28	diagnosis	diagnosis	NOUN
fcis-11149	13	29	and	and	CCONJ
fcis-11149	13	30	treatment	treatment	NOUN
fcis-11149	13	31	basis	basis	NOUN
fcis-11149	13	32	.	.	PUNCT
fcis-11149	14	1	2	2	X
fcis-11149	14	2	.	.	X
fcis-11149	14	3	common	common	ADJ
fcis-11149	14	4	methods	method	NOUN
fcis-11149	14	5	for	for	ADP
fcis-11149	14	6	medical	medical	ADJ
fcis-11149	14	7	image	image	NOUN
fcis-11149	14	8	segmentation	segmentation	NOUN
fcis-11149	14	9	medical	medical	ADJ
fcis-11149	14	10	image	image	NOUN
fcis-11149	14	11	segmentation	segmentation	NOUN
fcis-11149	14	12	methods	method	NOUN
fcis-11149	14	13	are	be	AUX
fcis-11149	14	14	mainly	mainly	ADV
fcis-11149	14	15	divided	divide	VERB
fcis-11149	14	16	into	into	ADP
fcis-11149	14	17	threshold	threshold	NOUN
fcis-11149	14	18	based	base	VERB
fcis-11149	14	19	,	,	PUNCT
fcis-11149	14	20	edge	edge	NOUN
fcis-11149	14	21	based	base	VERB
fcis-11149	14	22	,	,	PUNCT
fcis-11149	14	23	region	region	NOUN
fcis-11149	14	24	based	base	VERB
fcis-11149	14	25	,	,	PUNCT
fcis-11149	14	26	and	and	CCONJ
fcis-11149	14	27	deep	deep	ADJ
fcis-11149	14	28	learning	learning	NOUN
fcis-11149	14	29	-	-	PUNCT
fcis-11149	14	30	based	base	VERB
fcis-11149	14	31	methods	method	NOUN
fcis-11149	14	32	[	[	X
fcis-11149	14	33	5	5	NUM
fcis-11149	14	34	]	]	PUNCT
fcis-11149	14	35	.	.	PUNCT
fcis-11149	15	1	based	base	VERB
fcis-11149	15	2	on	on	ADP
fcis-11149	15	3	these	these	DET
fcis-11149	15	4	methods	method	NOUN
fcis-11149	15	5	,	,	PUNCT
fcis-11149	15	6	researchers	researcher	NOUN
fcis-11149	15	7	have	have	AUX
fcis-11149	15	8	introduced	introduce	VERB
fcis-11149	15	9	various	various	ADJ
fcis-11149	15	10	improvements	improvement	NOUN
fcis-11149	15	11	and	and	CCONJ
fcis-11149	15	12	made	make	VERB
fcis-11149	15	13	many	many	ADJ
fcis-11149	15	14	combinations	combination	NOUN
fcis-11149	15	15	to	to	PART
fcis-11149	15	16	solve	solve	VERB
fcis-11149	15	17	various	various	ADJ
fcis-11149	15	18	problems	problem	NOUN
fcis-11149	15	19	in	in	ADP
fcis-11149	15	20	image	image	NOUN
fcis-11149	15	21	segmentation	segmentation	NOUN
fcis-11149	15	22	.	.	PUNCT
fcis-11149	16	1	the	the	DET
fcis-11149	16	2	threshold	threshold	NOUN
fcis-11149	16	3	-	-	PUNCT
fcis-11149	16	4	based	base	VERB
fcis-11149	16	5	method	method	NOUN
fcis-11149	16	6	is	be	AUX
fcis-11149	16	7	one	one	NUM
fcis-11149	16	8	of	of	ADP
fcis-11149	16	9	the	the	DET
fcis-11149	16	10	simplest	simple	ADJ
fcis-11149	16	11	image	image	NOUN
fcis-11149	16	12	segmentation	segmentation	NOUN
fcis-11149	16	13	methods	method	NOUN
fcis-11149	16	14	.	.	PUNCT
fcis-11149	17	1	it	it	PRON
fcis-11149	17	2	is	be	AUX
fcis-11149	17	3	based	base	VERB
fcis-11149	17	4	on	on	ADP
fcis-11149	17	5	the	the	DET
fcis-11149	17	6	grayscale	grayscale	NOUN
fcis-11149	17	7	values	value	NOUN
fcis-11149	17	8	of	of	ADP
fcis-11149	17	9	image	image	NOUN
fcis-11149	17	10	pixels	pixel	NOUN
fcis-11149	17	11	and	and	CCONJ
fcis-11149	17	12	divides	divide	VERB
fcis-11149	17	13	them	they	PRON
fcis-11149	17	14	into	into	ADP
fcis-11149	17	15	different	different	ADJ
fcis-11149	17	16	categories	category	NOUN
fcis-11149	17	17	by	by	ADP
fcis-11149	17	18	setting	set	VERB
fcis-11149	17	19	one	one	NUM
fcis-11149	17	20	or	or	CCONJ
fcis-11149	17	21	more	more	ADJ
fcis-11149	17	22	thresholds	threshold	NOUN
fcis-11149	17	23	.	.	PUNCT
fcis-11149	18	1	this	this	DET
fcis-11149	18	2	method	method	NOUN
fcis-11149	18	3	is	be	AUX
fcis-11149	18	4	suitable	suitable	ADJ
fcis-11149	18	5	for	for	ADP
fcis-11149	18	6	situations	situation	NOUN
fcis-11149	18	7	where	where	SCONJ
fcis-11149	18	8	different	different	ADJ
fcis-11149	18	9	tissues	tissue	NOUN
fcis-11149	18	10	or	or	CCONJ
fcis-11149	18	11	lesions	lesion	NOUN
fcis-11149	18	12	in	in	ADP
fcis-11149	18	13	the	the	DET
fcis-11149	18	14	image	image	NOUN
fcis-11149	18	15	have	have	VERB
fcis-11149	18	16	significant	significant	ADJ
fcis-11149	18	17	grayscale	grayscale	NOUN
fcis-11149	18	18	differences	difference	NOUN
fcis-11149	18	19	.	.	PUNCT
fcis-11149	19	1	usually	usually	ADV
fcis-11149	19	2	,	,	PUNCT
fcis-11149	19	3	a	a	DET
fcis-11149	19	4	suitable	suitable	ADJ
fcis-11149	19	5	threshold	threshold	NOUN
fcis-11149	19	6	can	can	AUX
fcis-11149	19	7	be	be	AUX
fcis-11149	19	8	selected	select	VERB
fcis-11149	19	9	through	through	ADP
fcis-11149	19	10	histogram	histogram	NOUN
fcis-11149	19	11	analysis	analysis	NOUN
fcis-11149	19	12	.	.	PUNCT
fcis-11149	20	1	it	it	PRON
fcis-11149	20	2	is	be	AUX
fcis-11149	20	3	generally	generally	ADV
fcis-11149	20	4	divided	divide	VERB
fcis-11149	20	5	into	into	ADP
fcis-11149	20	6	two	two	NUM
fcis-11149	20	7	steps	step	NOUN
fcis-11149	20	8	:	:	PUNCT
fcis-11149	20	9	one	one	NUM
fcis-11149	20	10	is	be	AUX
fcis-11149	20	11	to	to	PART
fcis-11149	20	12	calculate	calculate	VERB
fcis-11149	20	13	the	the	DET
fcis-11149	20	14	histogram	histogram	NOUN
fcis-11149	20	15	of	of	ADP
fcis-11149	20	16	the	the	DET
fcis-11149	20	17	image	image	NOUN
fcis-11149	20	18	and	and	CCONJ
fcis-11149	20	19	count	count	VERB
fcis-11149	20	20	the	the	DET
fcis-11149	20	21	number	number	NOUN
fcis-11149	20	22	of	of	ADP
fcis-11149	20	23	pixels	pixel	NOUN
fcis-11149	20	24	with	with	ADP
fcis-11149	20	25	different	different	ADJ
fcis-11149	20	26	grayscale	grayscale	NOUN
fcis-11149	20	27	values	value	NOUN
fcis-11149	20	28	.	.	PUNCT
fcis-11149	21	1	the	the	DET
fcis-11149	21	2	second	second	NOUN
fcis-11149	21	3	is	be	AUX
fcis-11149	21	4	to	to	PART
fcis-11149	21	5	segment	segment	VERB
fcis-11149	21	6	the	the	DET
fcis-11149	21	7	image	image	NOUN
fcis-11149	21	8	into	into	ADP
fcis-11149	21	9	two	two	NUM
fcis-11149	21	10	or	or	CCONJ
fcis-11149	21	11	more	more	ADV
fcis-11149	21	12	different	different	ADJ
fcis-11149	21	13	regions	region	NOUN
fcis-11149	21	14	by	by	ADP
fcis-11149	21	15	observing	observe	VERB
fcis-11149	21	16	the	the	DET
fcis-11149	21	17	histogram	histogram	NOUN
fcis-11149	21	18	and	and	CCONJ
fcis-11149	21	19	selecting	select	VERB
fcis-11149	21	20	an	an	DET
fcis-11149	21	21	appropriate	appropriate	ADJ
fcis-11149	21	22	threshold	threshold	NOUN
fcis-11149	21	23	.	.	PUNCT
fcis-11149	22	1	reference	reference	NOUN
fcis-11149	22	2	[	[	X
fcis-11149	22	3	6	6	NUM
fcis-11149	22	4	]	]	PUNCT
fcis-11149	22	5	proposes	propose	VERB
fcis-11149	22	6	an	an	DET
fcis-11149	22	7	adaptive	adaptive	ADJ
fcis-11149	22	8	threshold	threshold	NOUN
fcis-11149	22	9	segmentation	segmentation	NOUN
fcis-11149	22	10	method	method	NOUN
fcis-11149	22	11	.	.	PUNCT
fcis-11149	23	1	this	this	DET
fcis-11149	23	2	method	method	NOUN
fcis-11149	23	3	is	be	AUX
fcis-11149	23	4	mainly	mainly	ADV
fcis-11149	23	5	used	use	VERB
fcis-11149	23	6	for	for	ADP
fcis-11149	23	7	ultrasound	ultrasound	ADJ
fcis-11149	23	8	medical	medical	ADJ
fcis-11149	23	9	images	image	NOUN
fcis-11149	23	10	,	,	PUNCT
fcis-11149	23	11	including	include	VERB
fcis-11149	23	12	two	two	NUM
fcis-11149	23	13	parts	part	NOUN
fcis-11149	23	14	:	:	PUNCT
fcis-11149	23	15	an	an	DET
fcis-11149	23	16	automatic	automatic	ADJ
fcis-11149	23	17	region	region	NOUN
fcis-11149	23	18	of	of	ADP
fcis-11149	23	19	interest	interest	NOUN
fcis-11149	23	20	extraction	extraction	NOUN
fcis-11149	23	21	method	method	NOUN
fcis-11149	23	22	based	base	VERB
fcis-11149	23	23	on	on	ADP
fcis-11149	23	24	target	target	NOUN
fcis-11149	23	25	area	area	NOUN
fcis-11149	23	26	detection	detection	NOUN
fcis-11149	23	27	and	and	CCONJ
fcis-11149	23	28	an	an	DET
fcis-11149	23	29	improved	improved	ADJ
fcis-11149	23	30	adaptive	adaptive	ADJ
fcis-11149	23	31	threshold	threshold	NOUN
fcis-11149	23	32	-	-	PUNCT
fcis-11149	23	33	based	base	VERB
fcis-11149	23	34	ultrasound	ultrasound	ADJ
fcis-11149	23	35	medical	medical	ADJ
fcis-11149	23	36	image	image	NOUN
fcis-11149	23	37	segmentation	segmentation	NOUN
fcis-11149	23	38	algorithm	algorithm	NOUN
fcis-11149	23	39	.	.	PUNCT
fcis-11149	24	1	firstly	firstly	ADV
fcis-11149	24	2	,	,	PUNCT
fcis-11149	24	3	the	the	DET
fcis-11149	24	4	connectivity	connectivity	NOUN
fcis-11149	24	5	of	of	ADP
fcis-11149	24	6	the	the	DET
fcis-11149	24	7	target	target	NOUN
fcis-11149	24	8	region	region	NOUN
fcis-11149	24	9	is	be	AUX
fcis-11149	24	10	detected	detect	VERB
fcis-11149	24	11	,	,	PUNCT
fcis-11149	24	12	and	and	CCONJ
fcis-11149	24	13	the	the	DET
fcis-11149	24	14	maximum	maximum	ADJ
fcis-11149	24	15	connected	connected	ADJ
fcis-11149	24	16	region	region	NOUN
fcis-11149	24	17	is	be	AUX
fcis-11149	24	18	iteratively	iteratively	ADV
fcis-11149	24	19	determined	determined	ADJ
fcis-11149	24	20	according	accord	VERB
fcis-11149	24	21	to	to	ADP
fcis-11149	24	22	the	the	DET
fcis-11149	24	23	area	area	NOUN
fcis-11149	24	24	parameter	parameter	NOUN
fcis-11149	24	25	value	value	NOUN
fcis-11149	24	26	.	.	PUNCT
fcis-11149	25	1	then	then	ADV
fcis-11149	25	2	,	,	PUNCT
fcis-11149	25	3	the	the	DET
fcis-11149	25	4	region	region	NOUN
fcis-11149	25	5	of	of	ADP
fcis-11149	25	6	interest	interest	NOUN
fcis-11149	25	7	is	be	AUX
fcis-11149	25	8	extracted	extract	VERB
fcis-11149	25	9	from	from	ADP
fcis-11149	25	10	the	the	DET
fcis-11149	25	11	ultrasonic	ultrasonic	ADJ
fcis-11149	25	12	medical	medical	ADJ
fcis-11149	25	13	image	image	NOUN
fcis-11149	25	14	and	and	CCONJ
fcis-11149	25	15	converted	convert	VERB
fcis-11149	25	16	into	into	ADP
fcis-11149	25	17	an	an	DET
fcis-11149	25	18	integral	integral	ADJ
fcis-11149	25	19	image	image	NOUN
fcis-11149	25	20	;	;	PUNCT
fcis-11149	25	21	solve	solve	VERB
fcis-11149	25	22	the	the	DET
fcis-11149	25	23	optimal	optimal	ADJ
fcis-11149	25	24	adaptive	adaptive	ADJ
fcis-11149	25	25	threshold	threshold	NOUN
fcis-11149	25	26	segmentation	segmentation	NOUN
fcis-11149	25	27	parameters	parameter	NOUN
fcis-11149	25	28	through	through	ADP
fcis-11149	25	29	grid	grid	NOUN
fcis-11149	25	30	search	search	NOUN
fcis-11149	25	31	method	method	NOUN
fcis-11149	25	32	to	to	ADP
fcis-11149	25	33	segment	segment	NOUN
fcis-11149	25	34	regions	region	NOUN
fcis-11149	25	35	of	of	ADP
fcis-11149	25	36	interest	interest	NOUN
fcis-11149	25	37	.	.	PUNCT
fcis-11149	26	1	reference	reference	NOUN
fcis-11149	27	1	[	[	X
fcis-11149	27	2	7	7	X
fcis-11149	27	3	]	]	PUNCT
fcis-11149	27	4	proposed	propose	VERB
fcis-11149	27	5	a	a	DET
fcis-11149	27	6	multi	multi	ADJ
fcis-11149	27	7	-	-	ADJ
fcis-11149	27	8	threshold	threshold	ADJ
fcis-11149	27	9	segmentation	segmentation	NOUN
fcis-11149	27	10	algorithm	algorithm	NOUN
fcis-11149	27	11	and	and	CCONJ
fcis-11149	27	12	designed	design	VERB
fcis-11149	27	13	a	a	DET
fcis-11149	27	14	fuzzy	fuzzy	ADJ
fcis-11149	27	15	kapur	kapur	PROPN
fcis-11149	27	16	entropy	entropy	PROPN
fcis-11149	27	17	based	base	VERB
fcis-11149	27	18	multi	multi	ADJ
fcis-11149	27	19	-	-	ADJ
fcis-11149	27	20	threshold	threshold	ADJ
fcis-11149	27	21	image	image	NOUN
fcis-11149	27	22	segmentation	segmentation	NOUN
fcis-11149	27	23	algorithm	algorithm	NOUN
fcis-11149	27	24	(	(	PUNCT
fcis-11149	27	25	fkmts	fkmts	PROPN
fcis-11149	27	26	)	)	PUNCT
fcis-11149	27	27	to	to	PART
fcis-11149	27	28	eliminate	eliminate	VERB
fcis-11149	27	29	the	the	DET
fcis-11149	27	30	impact	impact	NOUN
fcis-11149	27	31	of	of	ADP
fcis-11149	27	32	medical	medical	ADJ
fcis-11149	27	33	artifacts	artifact	NOUN
fcis-11149	27	34	on	on	ADP
fcis-11149	27	35	the	the	DET
fcis-11149	27	36	performance	performance	NOUN
fcis-11149	27	37	of	of	ADP
fcis-11149	27	38	the	the	DET
fcis-11149	27	39	segmentation	segmentation	NOUN
fcis-11149	27	40	algorithm	algorithm	NOUN
fcis-11149	27	41	.	.	PUNCT
fcis-11149	28	1	this	this	DET
fcis-11149	28	2	algorithm	algorithm	NOUN
fcis-11149	28	3	solves	solve	VERB
fcis-11149	28	4	the	the	DET
fcis-11149	28	5	problem	problem	NOUN
fcis-11149	28	6	of	of	ADP
fcis-11149	28	7	blurring	blur	VERB
fcis-11149	28	8	the	the	DET
fcis-11149	28	9	boundary	boundary	NOUN
fcis-11149	28	10	of	of	ADP
fcis-11149	28	11	medical	medical	ADJ
fcis-11149	28	12	image	image	NOUN
fcis-11149	28	13	organizational	organizational	ADJ
fcis-11149	28	14	structure	structure	NOUN
fcis-11149	28	15	through	through	ADP
fcis-11149	28	16	fuzzy	fuzzy	PROPN
fcis-11149	28	17	kapur	kapur	PROPN
fcis-11149	28	18	entropy	entropy	PROPN
fcis-11149	28	19	;	;	PUNCT
fcis-11149	28	20	in	in	ADP
fcis-11149	28	21	addition	addition	NOUN
fcis-11149	28	22	,	,	PUNCT
fcis-11149	28	23	on	on	ADP
fcis-11149	28	24	the	the	DET
fcis-11149	28	25	basis	basis	NOUN
fcis-11149	28	26	of	of	ADP
fcis-11149	28	27	fkmts	fkmts	NOUN
fcis-11149	28	28	,	,	PUNCT
fcis-11149	28	29	a	a	DET
fcis-11149	28	30	fuzzy	fuzzy	ADJ
fcis-11149	28	31	kapur	kapur	PROPN
fcis-11149	28	32	entropy	entropy	PROPN
fcis-11149	28	33	multi	multi	ADJ
fcis-11149	28	34	-	-	ADJ
fcis-11149	28	35	threshold	threshold	ADJ
fcis-11149	28	36	image	image	NOUN
fcis-11149	28	37	segmentation	segmentation	NOUN
fcis-11149	28	38	algorithm	algorithm	NOUN
fcis-11149	28	39	fknmts	fknmt	NOUN
fcis-11149	28	40	based	base	VERB
fcis-11149	28	41	on	on	ADP
fcis-11149	28	42	neighborhood	neighborhood	NOUN
fcis-11149	28	43	information	information	NOUN
fcis-11149	28	44	has	have	AUX
fcis-11149	28	45	been	be	AUX
fcis-11149	28	46	designed	design	VERB
fcis-11149	28	47	.	.	PUNCT
fcis-11149	29	1	its	its	PRON
fcis-11149	29	2	core	core	ADJ
fcis-11149	29	3	idea	idea	NOUN
fcis-11149	29	4	is	be	AUX
fcis-11149	29	5	to	to	PART
fcis-11149	29	6	assign	assign	VERB
fcis-11149	29	7	membership	membership	NOUN
fcis-11149	29	8	degrees	degree	NOUN
fcis-11149	29	9	of	of	ADP
fcis-11149	29	10	different	different	ADJ
fcis-11149	29	11	segmentation	segmentation	NOUN
fcis-11149	29	12	regions	region	NOUN
fcis-11149	29	13	to	to	PART
fcis-11149	29	14	pixels	pixel	NOUN
fcis-11149	29	15	,	,	PUNCT
fcis-11149	29	16	and	and	CCONJ
fcis-11149	29	17	aggregate	aggregate	VERB
fcis-11149	29	18	adjacent	adjacent	ADJ
fcis-11149	29	19	pixels	pixel	NOUN
fcis-11149	29	20	that	that	PRON
fcis-11149	29	21	meet	meet	VERB
fcis-11149	29	22	the	the	DET
fcis-11149	29	23	conditions	condition	NOUN
fcis-11149	29	24	through	through	ADP
fcis-11149	29	25	membership	membership	NOUN
fcis-11149	29	26	degrees	degree	NOUN
fcis-11149	29	27	,	,	PUNCT
fcis-11149	29	28	thereby	thereby	ADV
fcis-11149	29	29	improving	improve	VERB
fcis-11149	29	30	the	the	DET
fcis-11149	29	31	correlation	correlation	NOUN
fcis-11149	29	32	of	of	ADP
fcis-11149	29	33	pixel	pixel	PROPN
fcis-11149	29	34	membership	membership	NOUN
fcis-11149	29	35	degrees	degree	NOUN
fcis-11149	29	36	in	in	ADP
fcis-11149	29	37	local	local	ADJ
fcis-11149	29	38	regions	region	NOUN
fcis-11149	29	39	.	.	PUNCT
fcis-11149	30	1	achieved	achieve	VERB
fcis-11149	30	2	good	good	ADJ
fcis-11149	30	3	segmentation	segmentation	NOUN
fcis-11149	30	4	results	result	NOUN
fcis-11149	30	5	.	.	PUNCT
fcis-11149	31	1	edge	edge	NOUN
fcis-11149	31	2	based	base	VERB
fcis-11149	31	3	image	image	NOUN
fcis-11149	31	4	segmentation	segmentation	NOUN
fcis-11149	31	5	methods	method	NOUN
fcis-11149	31	6	perform	perform	VERB
fcis-11149	31	7	segmentation	segmentation	NOUN
fcis-11149	31	8	by	by	ADP
fcis-11149	31	9	detecting	detect	VERB
fcis-11149	31	10	edges	edge	NOUN
fcis-11149	31	11	in	in	ADP
fcis-11149	31	12	the	the	DET
fcis-11149	31	13	image	image	NOUN
fcis-11149	31	14	.	.	PUNCT
fcis-11149	32	1	edges	edge	NOUN
fcis-11149	32	2	are	be	AUX
fcis-11149	32	3	areas	area	NOUN
fcis-11149	32	4	in	in	ADP
fcis-11149	32	5	an	an	DET
fcis-11149	32	6	image	image	NOUN
fcis-11149	32	7	that	that	PRON
fcis-11149	32	8	exhibit	exhibit	VERB
fcis-11149	32	9	significant	significant	ADJ
fcis-11149	32	10	grayscale	grayscale	NOUN
fcis-11149	32	11	changes	change	NOUN
fcis-11149	32	12	and	and	CCONJ
fcis-11149	32	13	can	can	AUX
fcis-11149	32	14	be	be	AUX
fcis-11149	32	15	used	use	VERB
fcis-11149	32	16	to	to	PART
fcis-11149	32	17	segment	segment	VERB
fcis-11149	32	18	different	different	ADJ
fcis-11149	32	19	tissues	tissue	NOUN
fcis-11149	32	20	or	or	CCONJ
fcis-11149	32	21	lesions	lesion	NOUN
fcis-11149	32	22	.	.	PUNCT
fcis-11149	33	1	commonly	commonly	ADV
fcis-11149	33	2	used	use	VERB
fcis-11149	33	3	edge	edge	NOUN
fcis-11149	33	4	detection	detection	NOUN
fcis-11149	33	5	algorithms	algorithm	NOUN
fcis-11149	33	6	include	include	VERB
fcis-11149	33	7	canny	canny	ADJ
fcis-11149	33	8	operator	operator	NOUN
fcis-11149	33	9	,	,	PUNCT
fcis-11149	33	10	sobel	sobel	NOUN
fcis-11149	33	11	operator	operator	NOUN
fcis-11149	33	12	,	,	PUNCT
fcis-11149	33	13	etc	etc	X
fcis-11149	33	14	.	.	X
fcis-11149	34	1	the	the	DET
fcis-11149	34	2	main	main	ADJ
fcis-11149	34	3	idea	idea	NOUN
fcis-11149	34	4	is	be	AUX
fcis-11149	34	5	to	to	PART
fcis-11149	34	6	first	first	ADV
fcis-11149	34	7	smooth	smooth	VERB
fcis-11149	34	8	the	the	DET
fcis-11149	34	9	image	image	NOUN
fcis-11149	34	10	to	to	PART
fcis-11149	34	11	reduce	reduce	VERB
fcis-11149	34	12	the	the	DET
fcis-11149	34	13	impact	impact	NOUN
fcis-11149	34	14	of	of	ADP
fcis-11149	34	15	noise	noise	NOUN
fcis-11149	34	16	.	.	PUNCT
fcis-11149	35	1	then	then	ADV
fcis-11149	35	2	,	,	PUNCT
fcis-11149	35	3	edge	edge	NOUN
fcis-11149	35	4	detection	detection	NOUN
fcis-11149	35	5	algorithms	algorithm	NOUN
fcis-11149	35	6	are	be	AUX
fcis-11149	35	7	used	use	VERB
fcis-11149	35	8	to	to	PART
fcis-11149	35	9	detect	detect	VERB
fcis-11149	35	10	edges	edge	NOUN
fcis-11149	35	11	in	in	ADP
fcis-11149	35	12	the	the	DET
fcis-11149	35	13	image	image	NOUN
fcis-11149	35	14	.	.	PUNCT
fcis-11149	36	1	finally	finally	ADV
fcis-11149	36	2	,	,	PUNCT
fcis-11149	36	3	based	base	VERB
fcis-11149	36	4	on	on	ADP
fcis-11149	36	5	the	the	DET
fcis-11149	36	6	detected	detect	VERB
fcis-11149	36	7	edges	edge	NOUN
fcis-11149	36	8	,	,	PUNCT
fcis-11149	36	9	the	the	DET
fcis-11149	36	10	image	image	NOUN
fcis-11149	36	11	is	be	AUX
fcis-11149	36	12	segmented	segment	VERB
fcis-11149	36	13	.	.	PUNCT
fcis-11149	37	1	reference	reference	NOUN
fcis-11149	37	2	[	[	X
fcis-11149	37	3	8	8	NUM
fcis-11149	37	4	]	]	PUNCT
fcis-11149	37	5	proposes	propose	VERB
fcis-11149	37	6	an	an	DET
fcis-11149	37	7	edge	edge	NOUN
fcis-11149	37	8	detection	detection	NOUN
fcis-11149	37	9	and	and	CCONJ
fcis-11149	37	10	precise	precise	ADJ
fcis-11149	37	11	positioning	positioning	NOUN
fcis-11149	37	12	algorithm	algorithm	NOUN
fcis-11149	37	13	based	base	VERB
fcis-11149	37	14	on	on	ADP
fcis-11149	37	15	sobel	sobel	NOUN
fcis-11149	37	16	operator	operator	NOUN
fcis-11149	37	17	.	.	PUNCT
fcis-11149	38	1	this	this	DET
fcis-11149	38	2	algorithm	algorithm	NOUN
fcis-11149	38	3	combines	combine	VERB
fcis-11149	38	4	sobel	sobel	PROPN
fcis-11149	38	5	gradient	gradient	PROPN
fcis-11149	38	6	map	map	NOUN
fcis-11149	38	7	and	and	CCONJ
fcis-11149	38	8	first	first	ADJ
fcis-11149	38	9	-	-	PUNCT
fcis-11149	38	10	order	order	NOUN
fcis-11149	38	11	differential	differential	NOUN
fcis-11149	38	12	expected	expect	VERB
fcis-11149	38	13	threshold	threshold	NOUN
fcis-11149	38	14	to	to	PART
fcis-11149	38	15	reduce	reduce	VERB
fcis-11149	38	16	noise	noise	NOUN
fcis-11149	38	17	and	and	CCONJ
fcis-11149	38	18	interference	interference	NOUN
fcis-11149	38	19	.	.	PUNCT
fcis-11149	39	1	from	from	ADP
fcis-11149	39	2	the	the	DET
fcis-11149	39	3	perspective	perspective	NOUN
fcis-11149	39	4	of	of	ADP
fcis-11149	39	5	probability	probability	NOUN
fcis-11149	39	6	distribution	distribution	NOUN
fcis-11149	39	7	,	,	PUNCT
fcis-11149	39	8	the	the	DET
fcis-11149	39	9	confidence	confidence	NOUN
fcis-11149	39	10	interval	interval	NOUN
fcis-11149	39	11	of	of	ADP
fcis-11149	39	12	the	the	DET
fcis-11149	39	13	actual	actual	ADJ
fcis-11149	39	14	edge	edge	NOUN
fcis-11149	39	15	of	of	ADP
fcis-11149	39	16	the	the	DET
fcis-11149	39	17	image	image	NOUN
fcis-11149	39	18	is	be	AUX
fcis-11149	39	19	calculated	calculate	VERB
fcis-11149	39	20	,	,	PUNCT
fcis-11149	39	21	and	and	CCONJ
fcis-11149	39	22	then	then	ADV
fcis-11149	39	23	the	the	DET
fcis-11149	39	24	positioning	positioning	NOUN
fcis-11149	39	25	estimation	estimation	NOUN
fcis-11149	39	26	is	be	AUX
fcis-11149	39	27	performed	perform	VERB
fcis-11149	39	28	,	,	PUNCT
fcis-11149	39	29	which	which	PRON
fcis-11149	39	30	can	can	AUX
fcis-11149	39	31	achieve	achieve	VERB
fcis-11149	39	32	high	high	ADJ
fcis-11149	39	33	positioning	positioning	NOUN
fcis-11149	39	34	accuracy	accuracy	NOUN
fcis-11149	39	35	.	.	PUNCT
fcis-11149	40	1	the	the	DET
fcis-11149	40	2	experimental	experimental	ADJ
fcis-11149	40	3	results	result	NOUN
fcis-11149	40	4	show	show	VERB
fcis-11149	40	5	that	that	SCONJ
fcis-11149	40	6	this	this	DET
fcis-11149	40	7	method	method	NOUN
fcis-11149	40	8	can	can	AUX
fcis-11149	40	9	effectively	effectively	ADV
fcis-11149	40	10	process	process	VERB
fcis-11149	40	11	medical	medical	ADJ
fcis-11149	40	12	ct	ct	PROPN
fcis-11149	40	13	images	image	NOUN
fcis-11149	40	14	with	with	ADP
fcis-11149	40	15	a	a	DET
fcis-11149	40	16	large	large	ADJ
fcis-11149	40	17	amount	amount	NOUN
fcis-11149	40	18	of	of	ADP
fcis-11149	40	19	noise	noise	NOUN
fcis-11149	40	20	and	and	CCONJ
fcis-11149	40	21	blurred	blurred	ADJ
fcis-11149	40	22	target	target	NOUN
fcis-11149	40	23	edges	edge	NOUN
fcis-11149	40	24	,	,	PUNCT
fcis-11149	40	25	and	and	CCONJ
fcis-11149	40	26	extract	extract	VERB
fcis-11149	40	27	accurate	accurate	ADJ
fcis-11149	40	28	edges	edge	NOUN
fcis-11149	40	29	.	.	PUNCT
fcis-11149	41	1	reference	reference	NOUN
fcis-11149	41	2	[	[	X
fcis-11149	41	3	9	9	NUM
fcis-11149	41	4	]	]	PUNCT
fcis-11149	41	5	proposes	propose	VERB
fcis-11149	41	6	an	an	DET
fcis-11149	41	7	edge	edge	NOUN
fcis-11149	41	8	detection	detection	NOUN
fcis-11149	41	9	medical	medical	ADJ
fcis-11149	41	10	image	image	NOUN
fcis-11149	41	11	segmentation	segmentation	NOUN
fcis-11149	41	12	algorithm	algorithm	NOUN
fcis-11149	41	13	based	base	VERB
fcis-11149	41	14	on	on	ADP
fcis-11149	41	15	an	an	DET
fcis-11149	41	16	improved	improved	ADJ
fcis-11149	41	17	canny	canny	ADJ
fcis-11149	41	18	operator	operator	NOUN
fcis-11149	41	19	,	,	PUNCT
fcis-11149	41	20	which	which	PRON
fcis-11149	41	21	fuses	fuse	VERB
fcis-11149	41	22	image	image	NOUN
fcis-11149	41	23	features	feature	VERB
fcis-11149	41	24	through	through	ADP
fcis-11149	41	25	multi	multi	ADJ
fcis-11149	41	26	-	-	ADJ
fcis-11149	41	27	scale	scale	ADJ
fcis-11149	41	28	90	90	NUM
fcis-11149	41	29	filtering	filtering	NOUN
fcis-11149	41	30	and	and	CCONJ
fcis-11149	41	31	combines	combine	VERB
fcis-11149	41	32	morphological	morphological	ADJ
fcis-11149	41	33	methods	method	NOUN
fcis-11149	41	34	for	for	ADP
fcis-11149	41	35	image	image	NOUN
fcis-11149	41	36	enhancement	enhancement	NOUN
fcis-11149	41	37	to	to	PART
fcis-11149	41	38	achieve	achieve	VERB
fcis-11149	41	39	effective	effective	ADJ
fcis-11149	41	40	segmentation	segmentation	NOUN
fcis-11149	41	41	of	of	ADP
fcis-11149	41	42	medical	medical	ADJ
fcis-11149	41	43	images	image	NOUN
fcis-11149	41	44	.	.	PUNCT
fcis-11149	42	1	segmentation	segmentation	NOUN
fcis-11149	42	2	experiments	experiment	NOUN
fcis-11149	42	3	were	be	AUX
fcis-11149	42	4	carried	carry	VERB
fcis-11149	42	5	out	out	ADP
fcis-11149	42	6	on	on	ADP
fcis-11149	42	7	cell	cell	NOUN
fcis-11149	42	8	microscopic	microscopic	ADJ
fcis-11149	42	9	images	image	NOUN
fcis-11149	42	10	and	and	CCONJ
fcis-11149	42	11	mammography	mammography	NOUN
fcis-11149	42	12	image	image	NOUN
fcis-11149	42	13	datasets	dataset	NOUN
fcis-11149	42	14	.	.	PUNCT
fcis-11149	43	1	the	the	DET
fcis-11149	43	2	results	result	NOUN
fcis-11149	43	3	show	show	VERB
fcis-11149	43	4	that	that	SCONJ
fcis-11149	43	5	the	the	DET
fcis-11149	43	6	target	target	NOUN
fcis-11149	43	7	edge	edge	NOUN
fcis-11149	43	8	feature	feature	NOUN
fcis-11149	43	9	points	point	NOUN
fcis-11149	43	10	of	of	ADP
fcis-11149	43	11	the	the	DET
fcis-11149	43	12	segmentation	segmentation	NOUN
fcis-11149	43	13	results	result	NOUN
fcis-11149	43	14	of	of	ADP
fcis-11149	43	15	this	this	DET
fcis-11149	43	16	algorithm	algorithm	NOUN
fcis-11149	43	17	have	have	VERB
fcis-11149	43	18	good	good	ADJ
fcis-11149	43	19	continuity	continuity	NOUN
fcis-11149	43	20	and	and	CCONJ
fcis-11149	43	21	strong	strong	ADJ
fcis-11149	43	22	regional	regional	ADJ
fcis-11149	43	23	closure	closure	NOUN
fcis-11149	43	24	,	,	PUNCT
fcis-11149	43	25	which	which	PRON
fcis-11149	43	26	solves	solve	VERB
fcis-11149	43	27	the	the	DET
fcis-11149	43	28	difficulties	difficulty	NOUN
fcis-11149	43	29	of	of	ADP
fcis-11149	43	30	edge	edge	NOUN
fcis-11149	43	31	detection	detection	NOUN
fcis-11149	43	32	of	of	ADP
fcis-11149	43	33	the	the	DET
fcis-11149	43	34	traditional	traditional	ADJ
fcis-11149	43	35	canny	canny	ADJ
fcis-11149	43	36	operator	operator	NOUN
fcis-11149	43	37	and	and	CCONJ
fcis-11149	43	38	achieves	achieve	VERB
fcis-11149	43	39	good	good	ADJ
fcis-11149	43	40	segmentation	segmentation	NOUN
fcis-11149	43	41	results	result	NOUN
fcis-11149	43	42	.	.	PUNCT
fcis-11149	44	1	the	the	DET
fcis-11149	44	2	region	region	NOUN
fcis-11149	44	3	-	-	PUNCT
fcis-11149	44	4	based	base	VERB
fcis-11149	44	5	image	image	NOUN
fcis-11149	44	6	segmentation	segmentation	NOUN
fcis-11149	44	7	method	method	NOUN
fcis-11149	44	8	divides	divide	VERB
fcis-11149	44	9	the	the	DET
fcis-11149	44	10	image	image	NOUN
fcis-11149	44	11	into	into	ADP
fcis-11149	44	12	a	a	DET
fcis-11149	44	13	series	series	NOUN
fcis-11149	44	14	of	of	ADP
fcis-11149	44	15	continuous	continuous	ADJ
fcis-11149	44	16	regions	region	NOUN
fcis-11149	44	17	,	,	PUNCT
fcis-11149	44	18	each	each	PRON
fcis-11149	44	19	with	with	ADP
fcis-11149	44	20	similar	similar	ADJ
fcis-11149	44	21	features	feature	NOUN
fcis-11149	44	22	.	.	PUNCT
fcis-11149	45	1	this	this	DET
fcis-11149	45	2	method	method	NOUN
fcis-11149	45	3	is	be	AUX
fcis-11149	45	4	typically	typically	ADV
fcis-11149	45	5	implemented	implement	VERB
fcis-11149	45	6	using	use	VERB
fcis-11149	45	7	algorithms	algorithm	NOUN
fcis-11149	45	8	such	such	ADJ
fcis-11149	45	9	as	as	ADP
fcis-11149	45	10	region	region	NOUN
fcis-11149	45	11	growth	growth	NOUN
fcis-11149	45	12	,	,	PUNCT
fcis-11149	45	13	region	region	NOUN
fcis-11149	45	14	splitting	splitting	NOUN
fcis-11149	45	15	,	,	PUNCT
fcis-11149	45	16	and	and	CCONJ
fcis-11149	45	17	merging	merge	VERB
fcis-11149	45	18	.	.	PUNCT
fcis-11149	46	1	the	the	DET
fcis-11149	46	2	region	region	NOUN
fcis-11149	46	3	growth	growth	NOUN
fcis-11149	46	4	algorithm	algorithm	NOUN
fcis-11149	46	5	starts	start	VERB
fcis-11149	46	6	from	from	ADP
fcis-11149	46	7	one	one	NUM
fcis-11149	46	8	or	or	CCONJ
fcis-11149	46	9	more	more	ADJ
fcis-11149	46	10	seed	seed	NOUN
fcis-11149	46	11	points	point	NOUN
fcis-11149	46	12	,	,	PUNCT
fcis-11149	46	13	serving	serve	VERB
fcis-11149	46	14	as	as	ADP
fcis-11149	46	15	the	the	DET
fcis-11149	46	16	starting	starting	NOUN
fcis-11149	46	17	point	point	NOUN
fcis-11149	46	18	for	for	ADP
fcis-11149	46	19	region	region	NOUN
fcis-11149	46	20	growth	growth	NOUN
fcis-11149	46	21	.	.	PUNCT
fcis-11149	47	1	based	base	VERB
fcis-11149	47	2	on	on	ADP
fcis-11149	47	3	similarity	similarity	NOUN
fcis-11149	47	4	criteria	criterion	NOUN
fcis-11149	47	5	,	,	PUNCT
fcis-11149	47	6	each	each	DET
fcis-11149	47	7	pixel	pixel	NOUN
fcis-11149	47	8	is	be	AUX
fcis-11149	47	9	gradually	gradually	ADV
fcis-11149	47	10	connected	connect	VERB
fcis-11149	47	11	to	to	ADP
fcis-11149	47	12	the	the	DET
fcis-11149	47	13	seed	seed	NOUN
fcis-11149	47	14	points	point	NOUN
fcis-11149	47	15	,	,	PUNCT
fcis-11149	47	16	and	and	CCONJ
fcis-11149	47	17	pixels	pixel	NOUN
fcis-11149	47	18	with	with	ADP
fcis-11149	47	19	similar	similar	ADJ
fcis-11149	47	20	features	feature	NOUN
fcis-11149	47	21	are	be	AUX
fcis-11149	47	22	merged	merge	VERB
fcis-11149	47	23	into	into	ADP
fcis-11149	47	24	a	a	DET
fcis-11149	47	25	single	single	ADJ
fcis-11149	47	26	region	region	NOUN
fcis-11149	47	27	.	.	PUNCT
fcis-11149	48	1	the	the	DET
fcis-11149	48	2	region	region	NOUN
fcis-11149	48	3	growth	growth	NOUN
fcis-11149	48	4	is	be	AUX
fcis-11149	48	5	continuously	continuously	ADV
fcis-11149	48	6	iterated	iterate	VERB
fcis-11149	48	7	until	until	SCONJ
fcis-11149	48	8	all	all	DET
fcis-11149	48	9	pixels	pixel	NOUN
fcis-11149	48	10	are	be	AUX
fcis-11149	48	11	assigned	assign	VERB
fcis-11149	48	12	to	to	ADP
fcis-11149	48	13	a	a	DET
fcis-11149	48	14	single	single	ADJ
fcis-11149	48	15	region	region	NOUN
fcis-11149	48	16	.	.	PUNCT
fcis-11149	49	1	the	the	DET
fcis-11149	49	2	region	region	NOUN
fcis-11149	49	3	splitting	splitting	NOUN
fcis-11149	49	4	and	and	CCONJ
fcis-11149	49	5	merging	merge	VERB
fcis-11149	49	6	algorithm	algorithm	NOUN
fcis-11149	49	7	achieves	achieve	VERB
fcis-11149	49	8	segmentation	segmentation	NOUN
fcis-11149	49	9	by	by	ADP
fcis-11149	49	10	iteratively	iteratively	ADV
fcis-11149	49	11	splitting	split	VERB
fcis-11149	49	12	and	and	CCONJ
fcis-11149	49	13	merging	merge	VERB
fcis-11149	49	14	regions	region	NOUN
fcis-11149	49	15	.	.	PUNCT
fcis-11149	50	1	reference	reference	NOUN
fcis-11149	50	2	[	[	X
fcis-11149	50	3	10	10	NUM
fcis-11149	50	4	]	]	PUNCT
fcis-11149	50	5	proposes	propose	VERB
fcis-11149	50	6	a	a	DET
fcis-11149	50	7	laser	laser	NOUN
fcis-11149	50	8	medical	medical	ADJ
fcis-11149	50	9	image	image	NOUN
fcis-11149	50	10	segmentation	segmentation	NOUN
fcis-11149	50	11	method	method	NOUN
fcis-11149	50	12	based	base	VERB
fcis-11149	50	13	on	on	ADP
fcis-11149	50	14	region	region	NOUN
fcis-11149	50	15	growth	growth	NOUN
fcis-11149	50	16	.	.	PUNCT
fcis-11149	51	1	this	this	DET
fcis-11149	51	2	method	method	NOUN
fcis-11149	51	3	first	first	ADV
fcis-11149	51	4	eliminates	eliminate	VERB
fcis-11149	51	5	noise	noise	NOUN
fcis-11149	51	6	in	in	ADP
fcis-11149	51	7	laser	laser	NOUN
fcis-11149	51	8	images	image	NOUN
fcis-11149	51	9	through	through	ADP
fcis-11149	51	10	bilateral	bilateral	ADJ
fcis-11149	51	11	filtering	filtering	NOUN
fcis-11149	51	12	to	to	PART
fcis-11149	51	13	protect	protect	VERB
fcis-11149	51	14	edge	edge	NOUN
fcis-11149	51	15	details	detail	NOUN
fcis-11149	51	16	.	.	PUNCT
fcis-11149	52	1	then	then	ADV
fcis-11149	52	2	,	,	PUNCT
fcis-11149	52	3	an	an	DET
fcis-11149	52	4	improved	improve	VERB
fcis-11149	52	5	watershed	watershed	NOUN
fcis-11149	52	6	method	method	NOUN
fcis-11149	52	7	is	be	AUX
fcis-11149	52	8	used	use	VERB
fcis-11149	52	9	to	to	PART
fcis-11149	52	10	segment	segment	VERB
fcis-11149	52	11	the	the	DET
fcis-11149	52	12	laser	laser	NOUN
fcis-11149	52	13	image	image	NOUN
fcis-11149	52	14	,	,	PUNCT
fcis-11149	52	15	and	and	CCONJ
fcis-11149	52	16	the	the	DET
fcis-11149	52	17	region	region	NOUN
fcis-11149	52	18	growth	growth	NOUN
fcis-11149	52	19	method	method	NOUN
fcis-11149	52	20	is	be	AUX
fcis-11149	52	21	used	use	VERB
fcis-11149	52	22	to	to	PART
fcis-11149	52	23	further	far	ADV
fcis-11149	52	24	process	process	VERB
fcis-11149	52	25	the	the	DET
fcis-11149	52	26	image	image	NOUN
fcis-11149	52	27	segmentation	segmentation	NOUN
fcis-11149	52	28	results	result	NOUN
fcis-11149	52	29	,	,	PUNCT
fcis-11149	52	30	making	make	VERB
fcis-11149	52	31	the	the	DET
fcis-11149	52	32	segmented	segment	VERB
fcis-11149	52	33	target	target	NOUN
fcis-11149	52	34	more	more	ADV
fcis-11149	52	35	complete	complete	ADJ
fcis-11149	52	36	.	.	PUNCT
fcis-11149	53	1	simulation	simulation	NOUN
fcis-11149	53	2	experiments	experiment	NOUN
fcis-11149	53	3	show	show	VERB
fcis-11149	53	4	that	that	SCONJ
fcis-11149	53	5	this	this	DET
fcis-11149	53	6	method	method	NOUN
fcis-11149	53	7	achieves	achieve	VERB
fcis-11149	53	8	high	high	ADJ
fcis-11149	53	9	accuracy	accuracy	NOUN
fcis-11149	53	10	in	in	ADP
fcis-11149	53	11	laser	laser	NOUN
fcis-11149	53	12	image	image	NOUN
fcis-11149	53	13	segmentation	segmentation	NOUN
fcis-11149	53	14	and	and	CCONJ
fcis-11149	53	15	can	can	AUX
fcis-11149	53	16	effectively	effectively	ADV
fcis-11149	53	17	handle	handle	VERB
fcis-11149	53	18	the	the	DET
fcis-11149	53	19	impact	impact	NOUN
fcis-11149	53	20	of	of	ADP
fcis-11149	53	21	noise	noise	NOUN
fcis-11149	53	22	.	.	PUNCT
fcis-11149	54	1	reference	reference	NOUN
fcis-11149	55	1	[	[	X
fcis-11149	55	2	11	11	NUM
fcis-11149	55	3	]	]	PUNCT
fcis-11149	55	4	proposed	propose	VERB
fcis-11149	55	5	an	an	DET
fcis-11149	55	6	interactive	interactive	ADJ
fcis-11149	55	7	medical	medical	ADJ
fcis-11149	55	8	image	image	NOUN
fcis-11149	55	9	segmentation	segmentation	NOUN
fcis-11149	55	10	method	method	NOUN
fcis-11149	55	11	based	base	VERB
fcis-11149	55	12	on	on	ADP
fcis-11149	55	13	prw	prw	PROPN
fcis-11149	55	14	region	region	PROPN
fcis-11149	55	15	correction	correction	NOUN
fcis-11149	55	16	.	.	PUNCT
fcis-11149	56	1	this	this	DET
fcis-11149	56	2	method	method	NOUN
fcis-11149	56	3	divides	divide	VERB
fcis-11149	56	4	seed	seed	NOUN
fcis-11149	56	5	points	point	NOUN
fcis-11149	56	6	based	base	VERB
fcis-11149	56	7	on	on	ADP
fcis-11149	56	8	the	the	DET
fcis-11149	56	9	original	original	ADJ
fcis-11149	56	10	manual	manual	ADJ
fcis-11149	56	11	annotation	annotation	NOUN
fcis-11149	56	12	information	information	NOUN
fcis-11149	56	13	of	of	ADP
fcis-11149	56	14	the	the	DET
fcis-11149	56	15	dataset	dataset	NOUN
fcis-11149	56	16	using	use	VERB
fcis-11149	56	17	the	the	DET
fcis-11149	56	18	rw	rw	NOUN
fcis-11149	56	19	algorithm	algorithm	NOUN
fcis-11149	56	20	,	,	PUNCT
fcis-11149	56	21	and	and	CCONJ
fcis-11149	56	22	converts	convert	VERB
fcis-11149	56	23	the	the	DET
fcis-11149	56	24	partitioning	partition	VERB
fcis-11149	56	25	process	process	NOUN
fcis-11149	56	26	into	into	ADP
fcis-11149	56	27	dirichlet	dirichlet	PROPN
fcis-11149	56	28	integrals	integral	NOUN
fcis-11149	56	29	to	to	PART
fcis-11149	56	30	accelerate	accelerate	VERB
fcis-11149	56	31	the	the	DET
fcis-11149	56	32	solution	solution	NOUN
fcis-11149	56	33	speed	speed	NOUN
fcis-11149	56	34	;	;	PUNCT
fcis-11149	56	35	the	the	DET
fcis-11149	56	36	distribution	distribution	NOUN
fcis-11149	56	37	of	of	ADP
fcis-11149	56	38	seed	seed	NOUN
fcis-11149	56	39	points	point	NOUN
fcis-11149	56	40	is	be	AUX
fcis-11149	56	41	calculated	calculate	VERB
fcis-11149	56	42	by	by	ADP
fcis-11149	56	43	prw	prw	PROPN
fcis-11149	56	44	,	,	PUNCT
fcis-11149	56	45	and	and	CCONJ
fcis-11149	56	46	the	the	DET
fcis-11149	56	47	target	target	NOUN
fcis-11149	56	48	equation	equation	NOUN
fcis-11149	56	49	is	be	AUX
fcis-11149	56	50	solved	solve	VERB
fcis-11149	56	51	based	base	VERB
fcis-11149	56	52	on	on	ADP
fcis-11149	56	53	the	the	DET
fcis-11149	56	54	pixel	pixel	ADJ
fcis-11149	56	55	distribution	distribution	NOUN
fcis-11149	56	56	of	of	ADP
fcis-11149	56	57	the	the	DET
fcis-11149	56	58	target	target	NOUN
fcis-11149	56	59	image	image	NOUN
fcis-11149	56	60	to	to	PART
fcis-11149	56	61	obtain	obtain	VERB
fcis-11149	56	62	seed	seed	NOUN
fcis-11149	56	63	point	point	NOUN
fcis-11149	56	64	classification	classification	NOUN
fcis-11149	56	65	.	.	PUNCT
fcis-11149	57	1	finally	finally	ADV
fcis-11149	57	2	,	,	PUNCT
fcis-11149	57	3	neighborhood	neighborhood	NOUN
fcis-11149	57	4	models	model	NOUN
fcis-11149	57	5	and	and	CCONJ
fcis-11149	57	6	region	region	NOUN
fcis-11149	57	7	correction	correction	NOUN
fcis-11149	57	8	strategies	strategy	NOUN
fcis-11149	57	9	are	be	AUX
fcis-11149	57	10	used	use	VERB
fcis-11149	57	11	to	to	PART
fcis-11149	57	12	handle	handle	VERB
fcis-11149	57	13	the	the	DET
fcis-11149	57	14	similarity	similarity	NOUN
fcis-11149	57	15	of	of	ADP
fcis-11149	57	16	adjacent	adjacent	ADJ
fcis-11149	57	17	pixels	pixel	NOUN
fcis-11149	57	18	,	,	PUNCT
fcis-11149	57	19	construct	construct	VERB
fcis-11149	57	20	corresponding	correspond	VERB
fcis-11149	57	21	feature	feature	NOUN
fcis-11149	57	22	potentials	potential	NOUN
fcis-11149	57	23	based	base	VERB
fcis-11149	57	24	on	on	ADP
fcis-11149	57	25	the	the	DET
fcis-11149	57	26	characteristics	characteristic	NOUN
fcis-11149	57	27	of	of	ADP
fcis-11149	57	28	each	each	DET
fcis-11149	57	29	region	region	NOUN
fcis-11149	57	30	,	,	PUNCT
fcis-11149	57	31	and	and	CCONJ
fcis-11149	57	32	use	use	VERB
fcis-11149	57	33	connection	connection	NOUN
fcis-11149	57	34	checks	check	NOUN
fcis-11149	57	35	to	to	PART
fcis-11149	57	36	correct	correct	VERB
fcis-11149	57	37	segmentation	segmentation	NOUN
fcis-11149	57	38	errors	error	NOUN
fcis-11149	57	39	in	in	ADP
fcis-11149	57	40	pixels	pixel	NOUN
fcis-11149	57	41	.	.	PUNCT
fcis-11149	58	1	simulation	simulation	NOUN
fcis-11149	58	2	experiments	experiment	NOUN
fcis-11149	58	3	have	have	AUX
fcis-11149	58	4	shown	show	VERB
fcis-11149	58	5	that	that	SCONJ
fcis-11149	58	6	this	this	DET
fcis-11149	58	7	method	method	NOUN
fcis-11149	58	8	can	can	AUX
fcis-11149	58	9	achieve	achieve	VERB
fcis-11149	58	10	complete	complete	ADJ
fcis-11149	58	11	,	,	PUNCT
fcis-11149	58	12	fast	fast	ADJ
fcis-11149	58	13	,	,	PUNCT
fcis-11149	58	14	and	and	CCONJ
fcis-11149	58	15	accurate	accurate	ADJ
fcis-11149	58	16	medical	medical	ADJ
fcis-11149	58	17	image	image	NOUN
fcis-11149	58	18	segmentation	segmentation	NOUN
fcis-11149	58	19	.	.	PUNCT
fcis-11149	59	1	the	the	DET
fcis-11149	59	2	medical	medical	ADJ
fcis-11149	59	3	image	image	NOUN
fcis-11149	59	4	segmentation	segmentation	NOUN
fcis-11149	59	5	method	method	NOUN
fcis-11149	59	6	based	base	VERB
fcis-11149	59	7	on	on	ADP
fcis-11149	59	8	deep	deep	ADJ
fcis-11149	59	9	learning	learning	NOUN
fcis-11149	59	10	is	be	AUX
fcis-11149	59	11	a	a	DET
fcis-11149	59	12	new	new	ADJ
fcis-11149	59	13	image	image	NOUN
fcis-11149	59	14	segmentation	segmentation	NOUN
fcis-11149	59	15	method	method	NOUN
fcis-11149	59	16	developed	develop	VERB
fcis-11149	59	17	in	in	ADP
fcis-11149	59	18	recent	recent	ADJ
fcis-11149	59	19	years	year	NOUN
fcis-11149	59	20	.	.	PUNCT
fcis-11149	60	1	deep	deep	ADJ
fcis-11149	60	2	learning	learning	NOUN
fcis-11149	60	3	technology	technology	NOUN
fcis-11149	60	4	learns	learn	VERB
fcis-11149	60	5	the	the	DET
fcis-11149	60	6	features	feature	NOUN
fcis-11149	60	7	and	and	CCONJ
fcis-11149	60	8	segmentation	segmentation	NOUN
fcis-11149	60	9	rules	rule	NOUN
fcis-11149	60	10	of	of	ADP
fcis-11149	60	11	images	image	NOUN
fcis-11149	60	12	by	by	ADP
fcis-11149	60	13	constructing	construct	VERB
fcis-11149	60	14	deep	deep	ADJ
fcis-11149	60	15	neural	neural	ADJ
fcis-11149	60	16	network	network	NOUN
fcis-11149	60	17	models	model	NOUN
fcis-11149	60	18	.	.	PUNCT
fcis-11149	61	1	this	this	DET
fcis-11149	61	2	method	method	NOUN
fcis-11149	61	3	usually	usually	ADV
fcis-11149	61	4	requires	require	VERB
fcis-11149	61	5	a	a	DET
fcis-11149	61	6	large	large	ADJ
fcis-11149	61	7	amount	amount	NOUN
fcis-11149	61	8	of	of	ADP
fcis-11149	61	9	annotated	annotate	VERB
fcis-11149	61	10	data	datum	NOUN
fcis-11149	61	11	for	for	ADP
fcis-11149	61	12	training	training	NOUN
fcis-11149	61	13	,	,	PUNCT
fcis-11149	61	14	but	but	CCONJ
fcis-11149	61	15	has	have	AUX
fcis-11149	61	16	achieved	achieve	VERB
fcis-11149	61	17	good	good	ADJ
fcis-11149	61	18	results	result	NOUN
fcis-11149	61	19	in	in	ADP
fcis-11149	61	20	many	many	ADJ
fcis-11149	61	21	medical	medical	ADJ
fcis-11149	61	22	image	image	NOUN
fcis-11149	61	23	segmentation	segmentation	NOUN
fcis-11149	61	24	tasks	task	NOUN
fcis-11149	61	25	.	.	PUNCT
fcis-11149	62	1	common	common	ADJ
fcis-11149	62	2	deep	deep	ADJ
fcis-11149	62	3	learning	learning	NOUN
fcis-11149	62	4	models	model	NOUN
fcis-11149	62	5	include	include	VERB
fcis-11149	62	6	convolutional	convolutional	ADJ
fcis-11149	62	7	neural	neural	ADJ
fcis-11149	62	8	network	network	NOUN
fcis-11149	62	9	(	(	PUNCT
fcis-11149	62	10	cnn	cnn	PROPN
fcis-11149	62	11	)	)	PUNCT
fcis-11149	62	12	,	,	PUNCT
fcis-11149	62	13	u	u	NOUN
fcis-11149	62	14	-	-	NOUN
fcis-11149	62	15	net	net	ADJ
fcis-11149	62	16	,	,	PUNCT
fcis-11149	62	17	etc	etc	X
fcis-11149	62	18	.	.	X
fcis-11149	63	1	the	the	DET
fcis-11149	63	2	specific	specific	ADJ
fcis-11149	63	3	steps	step	NOUN
fcis-11149	63	4	are	be	AUX
fcis-11149	63	5	as	as	SCONJ
fcis-11149	63	6	follows	follow	VERB
fcis-11149	63	7	:	:	PUNCT
fcis-11149	63	8	firstly	firstly	ADV
fcis-11149	63	9	,	,	PUNCT
fcis-11149	63	10	prepare	prepare	VERB
fcis-11149	63	11	a	a	DET
fcis-11149	63	12	large	large	ADJ
fcis-11149	63	13	amount	amount	NOUN
fcis-11149	63	14	of	of	ADP
fcis-11149	63	15	annotation	annotation	NOUN
fcis-11149	63	16	data	datum	NOUN
fcis-11149	63	17	,	,	PUNCT
fcis-11149	63	18	including	include	VERB
fcis-11149	63	19	input	input	NOUN
fcis-11149	63	20	images	image	NOUN
fcis-11149	63	21	and	and	CCONJ
fcis-11149	63	22	corresponding	correspond	VERB
fcis-11149	63	23	segmentation	segmentation	NOUN
fcis-11149	63	24	results	result	NOUN
fcis-11149	63	25	;	;	PUNCT
fcis-11149	63	26	then	then	ADV
fcis-11149	63	27	,	,	PUNCT
fcis-11149	63	28	a	a	DET
fcis-11149	63	29	deep	deep	ADJ
fcis-11149	63	30	neural	neural	ADJ
fcis-11149	63	31	network	network	NOUN
fcis-11149	63	32	model	model	NOUN
fcis-11149	63	33	is	be	AUX
fcis-11149	63	34	constructed	construct	VERB
fcis-11149	63	35	,	,	PUNCT
fcis-11149	63	36	including	include	VERB
fcis-11149	63	37	input	input	NOUN
fcis-11149	63	38	layer	layer	NOUN
fcis-11149	63	39	,	,	PUNCT
fcis-11149	63	40	convolutional	convolutional	ADJ
fcis-11149	63	41	layer	layer	NOUN
fcis-11149	63	42	,	,	PUNCT
fcis-11149	63	43	pooling	pool	VERB
fcis-11149	63	44	layer	layer	NOUN
fcis-11149	63	45	,	,	PUNCT
fcis-11149	63	46	upsampling	upsample	VERB
fcis-11149	63	47	layer	layer	NOUN
fcis-11149	63	48	,	,	PUNCT
fcis-11149	63	49	and	and	CCONJ
fcis-11149	63	50	output	output	NOUN
fcis-11149	63	51	layer	layer	NOUN
fcis-11149	63	52	;	;	PUNCT
fcis-11149	63	53	next	next	ADV
fcis-11149	63	54	,	,	PUNCT
fcis-11149	63	55	use	use	VERB
fcis-11149	63	56	annotated	annotate	VERB
fcis-11149	63	57	data	datum	NOUN
fcis-11149	63	58	to	to	PART
fcis-11149	63	59	train	train	VERB
fcis-11149	63	60	the	the	DET
fcis-11149	63	61	deep	deep	ADJ
fcis-11149	63	62	neural	neural	ADJ
fcis-11149	63	63	network	network	NOUN
fcis-11149	63	64	to	to	PART
fcis-11149	63	65	learn	learn	VERB
fcis-11149	63	66	the	the	DET
fcis-11149	63	67	features	feature	NOUN
fcis-11149	63	68	and	and	CCONJ
fcis-11149	63	69	segmentation	segmentation	NOUN
fcis-11149	63	70	rules	rule	NOUN
fcis-11149	63	71	of	of	ADP
fcis-11149	63	72	the	the	DET
fcis-11149	63	73	image	image	NOUN
fcis-11149	63	74	;	;	PUNCT
fcis-11149	63	75	finally	finally	ADV
fcis-11149	63	76	,	,	PUNCT
fcis-11149	63	77	use	use	VERB
fcis-11149	63	78	the	the	DET
fcis-11149	63	79	trained	train	VERB
fcis-11149	63	80	model	model	NOUN
fcis-11149	63	81	to	to	PART
fcis-11149	63	82	segment	segment	VERB
fcis-11149	63	83	the	the	DET
fcis-11149	63	84	new	new	ADJ
fcis-11149	63	85	medical	medical	ADJ
fcis-11149	63	86	image	image	NOUN
fcis-11149	63	87	.	.	PUNCT
fcis-11149	64	1	reference	reference	NOUN
fcis-11149	64	2	[	[	X
fcis-11149	64	3	12	12	NUM
fcis-11149	64	4	]	]	PUNCT
fcis-11149	64	5	proposes	propose	VERB
fcis-11149	64	6	a	a	DET
fcis-11149	64	7	u	u	ADJ
fcis-11149	64	8	-	-	ADJ
fcis-11149	64	9	net	net	ADJ
fcis-11149	64	10	segmentation	segmentation	NOUN
fcis-11149	64	11	algorithm	algorithm	NOUN
fcis-11149	64	12	based	base	VERB
fcis-11149	64	13	on	on	ADP
fcis-11149	64	14	a	a	DET
fcis-11149	64	15	hybrid	hybrid	ADJ
fcis-11149	64	16	state	state	NOUN
fcis-11149	64	17	transition	transition	NOUN
fcis-11149	64	18	algorithm	algorithm	NOUN
fcis-11149	64	19	.	.	PUNCT
fcis-11149	65	1	using	use	VERB
fcis-11149	65	2	a	a	DET
fcis-11149	65	3	variable	variable	ADJ
fcis-11149	65	4	depth	depth	NOUN
fcis-11149	65	5	encoding	encoding	NOUN
fcis-11149	65	6	strategy	strategy	NOUN
fcis-11149	65	7	to	to	PART
fcis-11149	65	8	represent	represent	VERB
fcis-11149	65	9	the	the	DET
fcis-11149	65	10	potential	potential	ADJ
fcis-11149	65	11	optimal	optimal	ADJ
fcis-11149	65	12	depth	depth	NOUN
fcis-11149	65	13	and	and	CCONJ
fcis-11149	65	14	different	different	ADJ
fcis-11149	65	15	building	building	NOUN
fcis-11149	65	16	blocks	block	NOUN
fcis-11149	65	17	in	in	ADP
fcis-11149	65	18	u	u	NOUN
fcis-11149	65	19	-	-	NOUN
fcis-11149	65	20	net	net	ADJ
fcis-11149	65	21	;	;	PUNCT
fcis-11149	65	22	it	it	PRON
fcis-11149	65	23	uses	use	VERB
fcis-11149	65	24	original	original	ADJ
fcis-11149	65	25	interactive	interactive	ADJ
fcis-11149	65	26	operations	operation	NOUN
fcis-11149	65	27	to	to	PART
fcis-11149	65	28	generate	generate	VERB
fcis-11149	65	29	potential	potential	ADJ
fcis-11149	65	30	individuals	individual	NOUN
fcis-11149	65	31	,	,	PUNCT
fcis-11149	65	32	and	and	CCONJ
fcis-11149	65	33	accelerates	accelerate	VERB
fcis-11149	65	34	the	the	DET
fcis-11149	65	35	evolution	evolution	NOUN
fcis-11149	65	36	speed	speed	NOUN
fcis-11149	65	37	of	of	ADP
fcis-11149	65	38	network	network	NOUN
fcis-11149	65	39	individuals	individual	NOUN
fcis-11149	65	40	by	by	ADP
fcis-11149	65	41	introducing	introduce	VERB
fcis-11149	65	42	transfer	transfer	NOUN
fcis-11149	65	43	learning	learning	NOUN
fcis-11149	65	44	strategies	strategy	NOUN
fcis-11149	65	45	and	and	CCONJ
fcis-11149	65	46	reducing	reduce	VERB
fcis-11149	65	47	epochs	epoch	NOUN
fcis-11149	65	48	;	;	PUNCT
fcis-11149	65	49	this	this	DET
fcis-11149	65	50	method	method	NOUN
fcis-11149	65	51	was	be	AUX
fcis-11149	65	52	tested	test	VERB
fcis-11149	65	53	on	on	ADP
fcis-11149	65	54	cardiac	cardiac	ADJ
fcis-11149	65	55	mri	mri	NOUN
fcis-11149	65	56	and	and	CCONJ
fcis-11149	65	57	liver	liver	NOUN
fcis-11149	65	58	lits	lit	NOUN
fcis-11149	65	59	medical	medical	ADJ
fcis-11149	65	60	image	image	NOUN
fcis-11149	65	61	datasets	dataset	NOUN
fcis-11149	65	62	,	,	PUNCT
fcis-11149	65	63	and	and	CCONJ
fcis-11149	65	64	its	its	PRON
fcis-11149	65	65	effectiveness	effectiveness	NOUN
fcis-11149	65	66	was	be	AUX
fcis-11149	65	67	verified	verify	VERB
fcis-11149	65	68	.	.	PUNCT
fcis-11149	66	1	literature	literature	NOUN
fcis-11149	67	1	[	[	X
fcis-11149	67	2	13	13	NUM
fcis-11149	67	3	]	]	PUNCT
fcis-11149	67	4	proposed	propose	VERB
fcis-11149	67	5	a	a	DET
fcis-11149	67	6	new	new	ADJ
fcis-11149	67	7	medical	medical	ADJ
fcis-11149	67	8	image	image	NOUN
fcis-11149	67	9	semantic	semantic	ADJ
fcis-11149	67	10	segmentation	segmentation	NOUN
fcis-11149	67	11	network	network	NOUN
fcis-11149	67	12	,	,	PUNCT
fcis-11149	67	13	which	which	PRON
fcis-11149	67	14	is	be	AUX
fcis-11149	67	15	based	base	VERB
fcis-11149	67	16	on	on	ADP
fcis-11149	67	17	convolutional	convolutional	ADJ
fcis-11149	67	18	neural	neural	ADJ
fcis-11149	67	19	network	network	NOUN
fcis-11149	67	20	and	and	CCONJ
fcis-11149	67	21	transformer	transformer	NOUN
fcis-11149	67	22	,	,	PUNCT
fcis-11149	67	23	and	and	CCONJ
fcis-11149	67	24	can	can	AUX
fcis-11149	67	25	greatly	greatly	ADV
fcis-11149	67	26	improve	improve	VERB
fcis-11149	67	27	the	the	DET
fcis-11149	67	28	accuracy	accuracy	NOUN
fcis-11149	67	29	of	of	ADP
fcis-11149	67	30	medical	medical	ADJ
fcis-11149	67	31	image	image	NOUN
fcis-11149	67	32	semantic	semantic	ADJ
fcis-11149	67	33	segmentation	segmentation	NOUN
fcis-11149	67	34	.	.	PUNCT
fcis-11149	68	1	the	the	DET
fcis-11149	68	2	network	network	NOUN
fcis-11149	68	3	extracts	extract	VERB
fcis-11149	68	4	network	network	NOUN
fcis-11149	68	5	structure	structure	NOUN
fcis-11149	68	6	features	feature	VERB
fcis-11149	68	7	through	through	ADP
fcis-11149	68	8	resnet-50	resnet-50	NUM
fcis-11149	68	9	,	,	PUNCT
fcis-11149	68	10	and	and	CCONJ
fcis-11149	68	11	then	then	ADV
fcis-11149	68	12	uses	use	VERB
fcis-11149	68	13	transformer	transformer	NOUN
fcis-11149	68	14	technology	technology	NOUN
fcis-11149	68	15	to	to	PART
fcis-11149	68	16	expand	expand	VERB
fcis-11149	68	17	the	the	DET
fcis-11149	68	18	receptive	receptive	ADJ
fcis-11149	68	19	field	field	NOUN
fcis-11149	68	20	;	;	PUNCT
fcis-11149	68	21	a	a	DET
fcis-11149	68	22	cascading	cascade	VERB
fcis-11149	68	23	up	up	ADP
fcis-11149	68	24	sampler	sampler	NOUN
fcis-11149	68	25	is	be	AUX
fcis-11149	68	26	introduced	introduce	VERB
fcis-11149	68	27	to	to	PART
fcis-11149	68	28	decode	decode	VERB
fcis-11149	68	29	hidden	hidden	ADJ
fcis-11149	68	30	features	feature	NOUN
fcis-11149	68	31	through	through	ADP
fcis-11149	68	32	multi	multi	ADJ
fcis-11149	68	33	-	-	ADJ
fcis-11149	68	34	layer	layer	ADJ
fcis-11149	68	35	jump	jump	NOUN
fcis-11149	68	36	connection	connection	NOUN
fcis-11149	68	37	combination	combination	NOUN
fcis-11149	68	38	to	to	PART
fcis-11149	68	39	make	make	VERB
fcis-11149	68	40	full	full	ADJ
fcis-11149	68	41	use	use	NOUN
fcis-11149	68	42	of	of	ADP
fcis-11149	68	43	feature	feature	NOUN
fcis-11149	68	44	extraction	extraction	NOUN
fcis-11149	68	45	information	information	NOUN
fcis-11149	68	46	at	at	ADP
fcis-11149	68	47	each	each	DET
fcis-11149	68	48	stage	stage	NOUN
fcis-11149	68	49	.	.	PUNCT
fcis-11149	69	1	finally	finally	ADV
fcis-11149	69	2	,	,	PUNCT
fcis-11149	69	3	experiments	experiment	NOUN
fcis-11149	69	4	were	be	AUX
fcis-11149	69	5	conducted	conduct	VERB
fcis-11149	69	6	on	on	ADP
fcis-11149	69	7	the	the	DET
fcis-11149	69	8	gastrointestinal	gastrointestinal	ADJ
fcis-11149	69	9	medical	medical	ADJ
fcis-11149	69	10	image	image	NOUN
fcis-11149	69	11	segmentation	segmentation	NOUN
fcis-11149	69	12	dataset	dataset	VERB
fcis-11149	69	13	to	to	PART
fcis-11149	69	14	demonstrate	demonstrate	VERB
fcis-11149	69	15	the	the	DET
fcis-11149	69	16	segmentation	segmentation	NOUN
fcis-11149	69	17	accuracy	accuracy	NOUN
fcis-11149	69	18	of	of	ADP
fcis-11149	69	19	this	this	DET
fcis-11149	69	20	method	method	NOUN
fcis-11149	69	21	3	3	NUM
fcis-11149	69	22	.	.	PUNCT
fcis-11149	70	1	recent	recent	ADJ
fcis-11149	70	2	research	research	NOUN
fcis-11149	70	3	results	result	NOUN
fcis-11149	70	4	in	in	ADP
fcis-11149	70	5	recent	recent	ADJ
fcis-11149	70	6	years	year	NOUN
fcis-11149	70	7	,	,	PUNCT
fcis-11149	70	8	with	with	ADP
fcis-11149	70	9	the	the	DET
fcis-11149	70	10	rapid	rapid	ADJ
fcis-11149	70	11	development	development	NOUN
fcis-11149	70	12	of	of	ADP
fcis-11149	70	13	deep	deep	ADJ
fcis-11149	70	14	learning	learning	NOUN
fcis-11149	70	15	technology	technology	NOUN
fcis-11149	70	16	,	,	PUNCT
fcis-11149	70	17	many	many	ADJ
fcis-11149	70	18	researchers	researcher	NOUN
fcis-11149	70	19	have	have	AUX
fcis-11149	70	20	achieved	achieve	VERB
fcis-11149	70	21	a	a	DET
fcis-11149	70	22	series	series	NOUN
fcis-11149	70	23	of	of	ADP
fcis-11149	70	24	important	important	ADJ
fcis-11149	70	25	research	research	NOUN
fcis-11149	70	26	results	result	NOUN
fcis-11149	70	27	in	in	ADP
fcis-11149	70	28	the	the	DET
fcis-11149	70	29	field	field	NOUN
fcis-11149	70	30	of	of	ADP
fcis-11149	70	31	medical	medical	ADJ
fcis-11149	70	32	image	image	NOUN
fcis-11149	70	33	segmentation	segmentation	NOUN
fcis-11149	70	34	.	.	PUNCT
fcis-11149	71	1	for	for	ADP
fcis-11149	71	2	example	example	NOUN
fcis-11149	71	3	,	,	PUNCT
fcis-11149	71	4	researchers	researcher	NOUN
fcis-11149	71	5	have	have	AUX
fcis-11149	71	6	proposed	propose	VERB
fcis-11149	71	7	a	a	DET
fcis-11149	71	8	deep	deep	ADJ
fcis-11149	71	9	learning	learning	NOUN
fcis-11149	71	10	model	model	NOUN
fcis-11149	71	11	based	base	VERB
fcis-11149	71	12	on	on	ADP
fcis-11149	71	13	u	u	NOUN
fcis-11149	71	14	-	-	NOUN
fcis-11149	71	15	net	net	ADJ
fcis-11149	71	16	for	for	ADP
fcis-11149	71	17	segmenting	segment	VERB
fcis-11149	71	18	lesion	lesion	NOUN
fcis-11149	71	19	areas	area	NOUN
fcis-11149	71	20	in	in	ADP
fcis-11149	71	21	brain	brain	NOUN
fcis-11149	71	22	mri	mri	NOUN
fcis-11149	71	23	images	image	NOUN
fcis-11149	71	24	.	.	PUNCT
fcis-11149	72	1	some	some	DET
fcis-11149	72	2	researchers	researcher	NOUN
fcis-11149	72	3	have	have	AUX
fcis-11149	72	4	also	also	ADV
fcis-11149	72	5	applied	apply	VERB
fcis-11149	72	6	generative	generative	ADJ
fcis-11149	72	7	adversarial	adversarial	ADJ
fcis-11149	72	8	network	network	NOUN
fcis-11149	72	9	to	to	ADP
fcis-11149	72	10	medical	medical	ADJ
fcis-11149	72	11	image	image	NOUN
fcis-11149	72	12	segmentation	segmentation	NOUN
fcis-11149	72	13	and	and	CCONJ
fcis-11149	72	14	achieved	achieve	VERB
fcis-11149	72	15	better	well	ADJ
fcis-11149	72	16	segmentation	segmentation	NOUN
fcis-11149	72	17	results	result	NOUN
fcis-11149	72	18	.	.	PUNCT
fcis-11149	73	1	meta	meta	PROPN
fcis-11149	73	2	ai	ai	PROPN
fcis-11149	73	3	has	have	AUX
fcis-11149	73	4	released	release	VERB
fcis-11149	73	5	a	a	DET
fcis-11149	73	6	basic	basic	ADJ
fcis-11149	73	7	model	model	NOUN
fcis-11149	73	8	in	in	ADP
fcis-11149	73	9	the	the	DET
fcis-11149	73	10	field	field	NOUN
fcis-11149	73	11	of	of	ADP
fcis-11149	73	12	visual	visual	ADJ
fcis-11149	73	13	segmentation	segmentation	NOUN
fcis-11149	73	14	called	call	VERB
fcis-11149	73	15	the	the	DET
fcis-11149	73	16	segment	segment	NOUN
fcis-11149	73	17	anything	anything	PRON
fcis-11149	73	18	model	model	NOUN
fcis-11149	73	19	,	,	PUNCT
fcis-11149	73	20	abbreviated	abbreviate	VERB
fcis-11149	73	21	as	as	ADP
fcis-11149	73	22	sam	sam	PROPN
fcis-11149	73	23	.	.	PUNCT
fcis-11149	74	1	this	this	DET
fcis-11149	74	2	model	model	NOUN
fcis-11149	74	3	is	be	AUX
fcis-11149	74	4	very	very	ADV
fcis-11149	74	5	powerful	powerful	ADJ
fcis-11149	74	6	and	and	CCONJ
fcis-11149	74	7	shows	show	VERB
fcis-11149	74	8	a	a	DET
fcis-11149	74	9	strong	strong	ADJ
fcis-11149	74	10	ability	ability	NOUN
fcis-11149	74	11	in	in	ADP
fcis-11149	74	12	image	image	NOUN
fcis-11149	74	13	segmentation	segmentation	NOUN
fcis-11149	74	14	tasks	task	NOUN
fcis-11149	74	15	.	.	PUNCT
fcis-11149	75	1	it	it	PRON
fcis-11149	75	2	mainly	mainly	ADV
fcis-11149	75	3	uses	use	VERB
fcis-11149	75	4	prompt	prompt	ADJ
fcis-11149	75	5	engineering	engineering	NOUN
fcis-11149	75	6	to	to	PART
fcis-11149	75	7	train	train	VERB
fcis-11149	75	8	a	a	DET
fcis-11149	75	9	large	large	ADJ
fcis-11149	75	10	pre	pre	ADJ
fcis-11149	75	11	training	training	NOUN
fcis-11149	75	12	model	model	NOUN
fcis-11149	75	13	for	for	ADP
fcis-11149	75	14	segmentation	segmentation	NOUN
fcis-11149	75	15	according	accord	VERB
fcis-11149	75	16	to	to	ADP
fcis-11149	75	17	prompts	prompt	NOUN
fcis-11149	75	18	.	.	PUNCT
fcis-11149	76	1	this	this	DET
fcis-11149	76	2	model	model	NOUN
fcis-11149	76	3	has	have	VERB
fcis-11149	76	4	the	the	DET
fcis-11149	76	5	potential	potential	NOUN
fcis-11149	76	6	to	to	PART
fcis-11149	76	7	be	be	AUX
fcis-11149	76	8	applied	apply	VERB
fcis-11149	76	9	in	in	ADP
fcis-11149	76	10	downstream	downstream	ADJ
fcis-11149	76	11	segmentation	segmentation	NOUN
fcis-11149	76	12	tasks	task	NOUN
fcis-11149	76	13	,	,	PUNCT
fcis-11149	76	14	and	and	CCONJ
fcis-11149	76	15	can	can	AUX
fcis-11149	76	16	be	be	AUX
fcis-11149	76	17	combined	combine	VERB
fcis-11149	76	18	with	with	ADP
fcis-11149	76	19	other	other	ADJ
fcis-11149	76	20	visual	visual	ADJ
fcis-11149	76	21	tasks	task	NOUN
fcis-11149	76	22	to	to	PART
fcis-11149	76	23	form	form	VERB
fcis-11149	76	24	new	new	ADJ
fcis-11149	76	25	solutions	solution	NOUN
fcis-11149	76	26	for	for	ADP
fcis-11149	76	27	other	other	ADJ
fcis-11149	76	28	visual	visual	ADJ
fcis-11149	76	29	tasks	task	NOUN
fcis-11149	76	30	.	.	PUNCT
fcis-11149	77	1	4	4	X
fcis-11149	77	2	.	.	X
fcis-11149	77	3	conclusion	conclusion	NOUN
fcis-11149	77	4	in	in	ADP
fcis-11149	77	5	summary	summary	NOUN
fcis-11149	77	6	,	,	PUNCT
fcis-11149	77	7	the	the	DET
fcis-11149	77	8	commonly	commonly	ADV
fcis-11149	77	9	used	use	VERB
fcis-11149	77	10	methods	method	NOUN
fcis-11149	77	11	for	for	ADP
fcis-11149	77	12	medical	medical	ADJ
fcis-11149	77	13	image	image	NOUN
fcis-11149	77	14	segmentation	segmentation	NOUN
fcis-11149	77	15	include	include	VERB
fcis-11149	77	16	threshold	threshold	NOUN
fcis-11149	77	17	-	-	PUNCT
fcis-11149	77	18	based	base	VERB
fcis-11149	77	19	methods	method	NOUN
fcis-11149	77	20	,	,	PUNCT
fcis-11149	77	21	edgebased	edgebase	VERB
fcis-11149	77	22	methods	method	NOUN
fcis-11149	77	23	,	,	PUNCT
fcis-11149	77	24	region	region	NOUN
fcis-11149	77	25	-	-	PUNCT
fcis-11149	77	26	based	base	VERB
fcis-11149	77	27	methods	method	NOUN
fcis-11149	77	28	,	,	PUNCT
fcis-11149	77	29	and	and	CCONJ
fcis-11149	77	30	deep	deep	ADJ
fcis-11149	77	31	learningbased	learningbase	VERB
fcis-11149	77	32	methods	method	NOUN
fcis-11149	77	33	.	.	PUNCT
fcis-11149	78	1	each	each	DET
fcis-11149	78	2	method	method	NOUN
fcis-11149	78	3	has	have	VERB
fcis-11149	78	4	its	its	PRON
fcis-11149	78	5	own	own	ADJ
fcis-11149	78	6	characteristics	characteristic	NOUN
fcis-11149	78	7	and	and	CCONJ
fcis-11149	78	8	applicable	applicable	ADJ
fcis-11149	78	9	scenarios	scenario	NOUN
fcis-11149	78	10	.	.	PUNCT
fcis-11149	79	1	with	with	ADP
fcis-11149	79	2	the	the	DET
fcis-11149	79	3	continuous	continuous	ADJ
fcis-11149	79	4	development	development	NOUN
fcis-11149	79	5	and	and	CCONJ
fcis-11149	79	6	in	in	ADP
fcis-11149	79	7	-	-	PUNCT
fcis-11149	79	8	depth	depth	NOUN
fcis-11149	79	9	research	research	NOUN
fcis-11149	79	10	of	of	ADP
fcis-11149	79	11	technology	technology	NOUN
fcis-11149	79	12	,	,	PUNCT
fcis-11149	79	13	the	the	DET
fcis-11149	79	14	methods	method	NOUN
fcis-11149	79	15	and	and	CCONJ
fcis-11149	79	16	algorithms	algorithm	NOUN
fcis-11149	79	17	of	of	ADP
fcis-11149	79	18	medical	medical	ADJ
fcis-11149	79	19	image	image	NOUN
fcis-11149	79	20	segmentation	segmentation	NOUN
fcis-11149	79	21	will	will	AUX
fcis-11149	79	22	become	become	VERB
fcis-11149	79	23	increasingly	increasingly	ADV
fcis-11149	79	24	intelligent	intelligent	ADJ
fcis-11149	79	25	and	and	CCONJ
fcis-11149	79	26	precise	precise	ADJ
fcis-11149	79	27	.	.	PUNCT
fcis-11149	80	1	in	in	ADP
fcis-11149	80	2	the	the	DET
fcis-11149	80	3	future	future	NOUN
fcis-11149	80	4	,	,	PUNCT
fcis-11149	80	5	medical	medical	ADJ
fcis-11149	80	6	image	image	NOUN
fcis-11149	80	7	segmentation	segmentation	NOUN
fcis-11149	80	8	technology	technology	NOUN
fcis-11149	80	9	will	will	AUX
fcis-11149	80	10	play	play	VERB
fcis-11149	80	11	a	a	DET
fcis-11149	80	12	greater	great	ADJ
fcis-11149	80	13	role	role	NOUN
fcis-11149	80	14	in	in	ADP
fcis-11149	80	15	the	the	DET
fcis-11149	80	16	field	field	NOUN
fcis-11149	80	17	of	of	ADP
fcis-11149	80	18	medical	medical	ADJ
fcis-11149	80	19	image	image	NOUN
fcis-11149	80	20	processing	processing	NOUN
fcis-11149	80	21	.	.	PUNCT
fcis-11149	81	1	references	reference	NOUN
fcis-11149	81	2	[	[	X
fcis-11149	81	3	1	1	NUM
fcis-11149	81	4	]	]	PUNCT
fcis-11149	81	5	ren	ren	PROPN
fcis-11149	81	6	chulan	chulan	PROPN
fcis-11149	81	7	,	,	PUNCT
fcis-11149	81	8	wang	wang	PROPN
fcis-11149	81	9	ning	ning	PROPN
fcis-11149	81	10	,	,	PUNCT
fcis-11149	81	11	zhang	zhang	PROPN
fcis-11149	81	12	yang	yang	PROPN
fcis-11149	81	13	.	.	PUNCT
fcis-11149	82	1	overview	overview	NOUN
fcis-11149	82	2	of	of	ADP
fcis-11149	82	3	medical	medical	ADJ
fcis-11149	82	4	image	image	NOUN
fcis-11149	82	5	segmentation	segmentation	NOUN
fcis-11149	82	6	methods	method	NOUN
fcis-11149	82	7	[	[	X
fcis-11149	82	8	j	j	X
fcis-11149	82	9	]	]	X
fcis-11149	82	10	.	.	PUNCT
fcis-11149	83	1	network	network	NOUN
fcis-11149	83	2	security	security	NOUN
fcis-11149	83	3	technology	technology	NOUN
fcis-11149	83	4	and	and	CCONJ
fcis-11149	83	5	applications	application	NOUN
fcis-11149	83	6	,	,	PUNCT
fcis-11149	83	7	2022	2022	NUM
fcis-11149	83	8	(	(	PUNCT
fcis-11149	83	9	02	02	NUM
fcis-11149	83	10	):	):	PUNCT
fcis-11149	83	11	49	49	NUM
fcis-11149	83	12	-	-	SYM
fcis-11149	83	13	50	50	NUM
fcis-11149	83	14	.	.	PUNCT
fcis-11149	84	1	[	[	X
fcis-11149	84	2	2	2	X
fcis-11149	84	3	]	]	X
fcis-11149	84	4	liu	liu	PROPN
fcis-11149	84	5	yu	yu	PROPN
fcis-11149	84	6	,	,	PUNCT
fcis-11149	84	7	chen	chen	PROPN
fcis-11149	84	8	sheng	sheng	PROPN
fcis-11149	84	9	.	.	PUNCT
fcis-11149	85	1	overview	overview	NOUN
fcis-11149	85	2	of	of	ADP
fcis-11149	85	3	medical	medical	ADJ
fcis-11149	85	4	image	image	NOUN
fcis-11149	85	5	segmentation	segmentation	NOUN
fcis-11149	85	6	methods	method	NOUN
fcis-11149	85	7	[	[	X
fcis-11149	85	8	j	j	X
fcis-11149	85	9	]	]	X
fcis-11149	85	10	.	.	PUNCT
fcis-11149	86	1	electronic	electronic	ADJ
fcis-11149	86	2	science	science	NOUN
fcis-11149	86	3	and	and	CCONJ
fcis-11149	86	4	technology	technology	NOUN
fcis-11149	86	5	,	,	PUNCT
fcis-11149	86	6	2017,30	2017,30	PROPN
fcis-11149	86	7	(	(	PUNCT
fcis-11149	86	8	08	08	NUM
fcis-11149	86	9	):	):	PUNCT
fcis-11149	86	10	169	169	NUM
fcis-11149	86	11	-	-	SYM
fcis-11149	86	12	172	172	NUM
fcis-11149	86	13	.	.	PUNCT
fcis-11149	87	1	doi	doi	NOUN
fcis-11149	87	2	:	:	PUNCT
fcis-11149	87	3	10.16180	10.16180	NUM
fcis-11149	87	4	/	/	SYM
fcis-11149	87	5	j.cnki.issn10077820.2017.08.047	j.cnki.issn10077820.2017.08.047	PROPN
fcis-11149	87	6	.	.	PUNCT
fcis-11149	88	1	[	[	X
fcis-11149	88	2	3	3	NUM
fcis-11149	88	3	]	]	X
fcis-11149	88	4	zhou	zhou	PROPN
fcis-11149	88	5	tao	tao	PROPN
fcis-11149	88	6	,	,	PUNCT
fcis-11149	88	7	dong	dong	PROPN
fcis-11149	88	8	yali	yali	PROPN
fcis-11149	88	9	,	,	PUNCT
fcis-11149	88	10	huo	huo	PROPN
fcis-11149	88	11	bingqiang	bingqiang	NOUN
fcis-11149	88	12	,	,	PUNCT
fcis-11149	88	13	et	et	PROPN
fcis-11149	88	14	al	al	PROPN
fcis-11149	88	15	.	.	PUNCT
fcis-11149	89	1	a	a	DET
fcis-11149	89	2	review	review	NOUN
fcis-11149	89	3	of	of	ADP
fcis-11149	89	4	the	the	DET
fcis-11149	89	5	application	application	NOUN
fcis-11149	89	6	of	of	ADP
fcis-11149	89	7	u	u	NOUN
fcis-11149	89	8	-	-	ADJ
fcis-11149	89	9	net	net	ADJ
fcis-11149	89	10	network	network	NOUN
fcis-11149	89	11	in	in	ADP
fcis-11149	89	12	medical	medical	ADJ
fcis-11149	89	13	image	image	NOUN
fcis-11149	89	14	segmentation	segmentation	NOUN
fcis-11149	89	15	91	91	NUM
fcis-11149	90	1	[	[	X
fcis-11149	90	2	j	j	X
fcis-11149	90	3	]	]	X
fcis-11149	90	4	.	.	PUNCT
fcis-11149	91	1	chinese	chinese	ADJ
fcis-11149	91	2	journal	journal	PROPN
fcis-11149	91	3	of	of	ADP
fcis-11149	91	4	image	image	NOUN
fcis-11149	91	5	and	and	CCONJ
fcis-11149	91	6	graphics	graphic	NOUN
fcis-11149	91	7	,	,	PUNCT
fcis-11149	91	8	2021,26	2021,26	NUM
fcis-11149	91	9	(	(	PUNCT
fcis-11149	91	10	09	09	NUM
fcis-11149	91	11	):	):	PUNCT
fcis-11149	91	12	2058	2058	NUM
fcis-11149	91	13	-	-	SYM
fcis-11149	91	14	2077	2077	NUM
fcis-11149	91	15	.	.	PUNCT
fcis-11149	92	1	[	[	X
fcis-11149	92	2	4	4	NUM
fcis-11149	92	3	]	]	X
fcis-11149	92	4	qu	qu	PROPN
fcis-11149	92	5	binpeng	binpeng	PROPN
fcis-11149	92	6	,	,	PUNCT
fcis-11149	92	7	wei	wei	PROPN
fcis-11149	92	8	xiaojie	xiaojie	PROPN
fcis-11149	92	9	,	,	PUNCT
fcis-11149	92	10	miao	miao	PROPN
fcis-11149	92	11	jia	jia	PROPN
fcis-11149	92	12	,	,	PUNCT
fcis-11149	92	13	et	et	PROPN
fcis-11149	92	14	al	al	PROPN
fcis-11149	92	15	.	.	PUNCT
fcis-11149	92	16	application	application	NOUN
fcis-11149	92	17	practice	practice	NOUN
fcis-11149	92	18	of	of	ADP
fcis-11149	92	19	image	image	NOUN
fcis-11149	92	20	segmentation	segmentation	NOUN
fcis-11149	92	21	technology	technology	NOUN
fcis-11149	92	22	in	in	ADP
fcis-11149	92	23	medical	medical	ADJ
fcis-11149	92	24	image	image	NOUN
fcis-11149	92	25	processing	processing	NOUN
fcis-11149	92	26	[	[	X
fcis-11149	92	27	j	j	X
fcis-11149	92	28	]	]	X
fcis-11149	92	29	.	.	PUNCT
fcis-11149	93	1	science	science	NOUN
fcis-11149	93	2	and	and	CCONJ
fcis-11149	93	3	technology	technology	NOUN
fcis-11149	93	4	innovation	innovation	NOUN
fcis-11149	93	5	and	and	CCONJ
fcis-11149	93	6	application	application	NOUN
fcis-11149	93	7	,	,	PUNCT
fcis-11149	93	8	2021,11	2021,11	NUM
fcis-11149	93	9	(	(	PUNCT
fcis-11149	93	10	16	16	NUM
fcis-11149	93	11	):	):	PUNCT
fcis-11149	93	12	178	178	NUM
fcis-11149	93	13	-	-	SYM
fcis-11149	93	14	180	180	NUM
fcis-11149	93	15	.	.	PUNCT
fcis-11149	94	1	[	[	X
fcis-11149	94	2	5	5	NUM
fcis-11149	94	3	]	]	PUNCT
fcis-11149	94	4	pan	pan	PROPN
fcis-11149	94	5	xiaohang	xiaohang	PROPN
fcis-11149	94	6	.	.	PUNCT
fcis-11149	95	1	medical	medical	ADJ
fcis-11149	95	2	image	image	NOUN
fcis-11149	95	3	segmentation	segmentation	NOUN
fcis-11149	95	4	method	method	NOUN
fcis-11149	96	1	[	[	X
fcis-11149	96	2	j	j	X
fcis-11149	96	3	]	]	X
fcis-11149	96	4	.	.	PUNCT
fcis-11149	97	1	electronic	electronic	ADJ
fcis-11149	97	2	technology	technology	NOUN
fcis-11149	97	3	and	and	CCONJ
fcis-11149	97	4	software	software	NOUN
fcis-11149	97	5	engineering	engineering	NOUN
fcis-11149	97	6	,	,	PUNCT
fcis-11149	97	7	2018	2018	NUM
fcis-11149	97	8	(	(	PUNCT
fcis-11149	97	9	11	11	NUM
fcis-11149	97	10	):	):	PUNCT
fcis-11149	97	11	84	84	NUM
fcis-11149	97	12	-	-	SYM
fcis-11149	97	13	85	85	NUM
fcis-11149	97	14	+	+	NOUN
fcis-11149	97	15	235	235	NUM
fcis-11149	97	16	.	.	PUNCT
fcis-11149	98	1	[	[	X
fcis-11149	98	2	6	6	NUM
fcis-11149	98	3	]	]	X
fcis-11149	98	4	khalid	khalid	PROPN
fcis-11149	98	5	s.	s.	PROPN
fcis-11149	98	6	research	research	PROPN
fcis-11149	98	7	on	on	ADP
fcis-11149	98	8	medical	medical	ADJ
fcis-11149	98	9	ultrasonic	ultrasonic	ADJ
fcis-11149	98	10	image	image	NOUN
fcis-11149	98	11	segmentation	segmentation	NOUN
fcis-11149	98	12	method	method	NOUN
fcis-11149	98	13	based	base	VERB
fcis-11149	98	14	on	on	ADP
fcis-11149	98	15	improved	improve	VERB
fcis-11149	98	16	adaptive	adaptive	ADJ
fcis-11149	98	17	threshold	threshold	NOUN
fcis-11149	99	1	[	[	X
fcis-11149	99	2	d	d	X
fcis-11149	99	3	]	]	X
fcis-11149	99	4	.	.	PUNCT
fcis-11149	100	1	beijing	beijing	PROPN
fcis-11149	100	2	university	university	PROPN
fcis-11149	100	3	of	of	ADP
fcis-11149	100	4	chemical	chemical	PROPN
fcis-11149	100	5	technology	technology	NOUN
fcis-11149	100	6	,	,	PUNCT
fcis-11149	100	7	2022	2022	NUM
fcis-11149	100	8	.	.	PUNCT
fcis-11149	101	1	[	[	X
fcis-11149	101	2	7	7	X
fcis-11149	101	3	]	]	X
fcis-11149	101	4	liu	liu	PROPN
fcis-11149	101	5	fengning	fengne	VERB
fcis-11149	101	6	research	research	NOUN
fcis-11149	101	7	on	on	ADP
fcis-11149	101	8	fuzzy	fuzzy	ADJ
fcis-11149	101	9	multi	multi	ADJ
fcis-11149	101	10	threshold	threshold	NOUN
fcis-11149	101	11	medical	medical	ADJ
fcis-11149	101	12	image	image	NOUN
fcis-11149	101	13	segmentation	segmentation	NOUN
fcis-11149	101	14	algorithm	algorithm	NOUN
fcis-11149	102	1	[	[	X
fcis-11149	102	2	d	d	X
fcis-11149	102	3	]	]	X
fcis-11149	102	4	.	.	PUNCT
fcis-11149	103	1	nanjing	nanjing	PROPN
fcis-11149	103	2	university	university	PROPN
fcis-11149	103	3	of	of	ADP
fcis-11149	103	4	posts	post	NOUN
fcis-11149	103	5	and	and	CCONJ
fcis-11149	103	6	telecommunications	telecommunication	NOUN
fcis-11149	103	7	,	,	PUNCT
fcis-11149	103	8	2019	2019	NUM
fcis-11149	103	9	.	.	PUNCT
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fcis-11149	104	5	wenquan	wenquan	PROPN
fcis-11149	104	6	,	,	PUNCT
fcis-11149	104	7	he	he	PRON
fcis-11149	104	8	yongjun	yongjun	PROPN
fcis-11149	104	9	,	,	PUNCT
fcis-11149	104	10	yu	yu	PROPN
fcis-11149	104	11	aimin	aimin	PROPN
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fcis-11149	105	1	a	a	DET
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fcis-11149	105	4	based	base	VERB
fcis-11149	105	5	probability	probability	NOUN
fcis-11149	105	6	estimation	estimation	NOUN
fcis-11149	105	7	method	method	NOUN
fcis-11149	105	8	for	for	ADP
fcis-11149	105	9	medical	medical	ADJ
fcis-11149	105	10	image	image	NOUN
fcis-11149	105	11	edge	edge	NOUN
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fcis-11149	106	4	.	.	PUNCT
fcis-11149	107	1	microcomputers	microcomputer	NOUN
fcis-11149	107	2	and	and	CCONJ
fcis-11149	107	3	applications	application	NOUN
fcis-11149	107	4	,	,	PUNCT
fcis-11149	107	5	2013,32	2013,32	PROPN
fcis-11149	107	6	(	(	PUNCT
fcis-11149	107	7	13	13	NUM
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fcis-11149	108	4	xu	xu	PROPN
fcis-11149	108	5	li	li	PROPN
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fcis-11149	108	7	wu	wu	PROPN
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fcis-11149	108	17	on	on	ADP
fcis-11149	108	18	medical	medical	ADJ
fcis-11149	108	19	image	image	NOUN
fcis-11149	108	20	segmentation	segmentation	NOUN
fcis-11149	108	21	based	base	VERB
fcis-11149	108	22	on	on	ADP
fcis-11149	108	23	improved	improved	ADJ
fcis-11149	108	24	canny	canny	ADJ
fcis-11149	108	25	operator	operator	NOUN
fcis-11149	109	1	[	[	X
fcis-11149	109	2	j	j	X
fcis-11149	109	3	]	]	X
fcis-11149	109	4	.	.	PUNCT
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fcis-11149	110	2	and	and	CCONJ
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fcis-11149	110	4	engineering	engineering	NOUN
fcis-11149	110	5	,	,	PUNCT
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fcis-11149	110	7	(	(	PUNCT
fcis-11149	110	8	02	02	NUM
fcis-11149	110	9	):	):	PUNCT
fcis-11149	110	10	456	456	NUM
fcis-11149	110	11	-	-	SYM
fcis-11149	110	12	461	461	NUM
fcis-11149	110	13	.	.	PUNCT
fcis-11149	111	1	[	[	X
fcis-11149	111	2	10	10	NUM
fcis-11149	111	3	]	]	X
fcis-11149	111	4	guo	guo	PROPN
fcis-11149	111	5	dongmin	dongmin	PROPN
fcis-11149	111	6	,	,	PUNCT
fcis-11149	111	7	li	li	PROPN
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fcis-11149	111	9	,	,	PUNCT
fcis-11149	111	10	shan	shan	ADJ
fcis-11149	111	11	chunyan	chunyan	PROPN
fcis-11149	111	12	.	.	PUNCT
fcis-11149	112	1	laser	laser	NOUN
fcis-11149	112	2	medical	medical	ADJ
fcis-11149	112	3	image	image	NOUN
fcis-11149	112	4	segmentation	segmentation	NOUN
fcis-11149	112	5	based	base	VERB
fcis-11149	112	6	on	on	ADP
fcis-11149	112	7	improved	improved	ADJ
fcis-11149	112	8	watershed	watershe	VERB
fcis-11149	112	9	and	and	CCONJ
fcis-11149	112	10	regional	regional	ADJ
fcis-11149	112	11	growth	growth	NOUN
fcis-11149	112	12	[	[	X
fcis-11149	112	13	j	j	X
fcis-11149	112	14	]	]	X
fcis-11149	112	15	.	.	PUNCT
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fcis-11149	113	4	,	,	PUNCT
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fcis-11149	113	6	(	(	PUNCT
fcis-11149	113	7	09	09	NUM
fcis-11149	113	8	):	):	PUNCT
fcis-11149	113	9	64	64	NUM
fcis-11149	113	10	-	-	SYM
fcis-11149	113	11	67	67	NUM
fcis-11149	113	12	.	.	PUNCT
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fcis-11149	114	2	11	11	NUM
fcis-11149	114	3	]	]	X
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fcis-11149	114	6	,	,	PUNCT
fcis-11149	114	7	peng	peng	PROPN
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fcis-11149	114	9	,	,	PUNCT
fcis-11149	114	10	shi	shi	PROPN
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fcis-11149	114	12	.	.	PUNCT
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fcis-11149	115	3	interactive	interactive	ADJ
fcis-11149	115	4	medical	medical	ADJ
fcis-11149	115	5	image	image	NOUN
fcis-11149	115	6	segmentation	segmentation	NOUN
fcis-11149	115	7	based	base	VERB
fcis-11149	115	8	on	on	ADP
fcis-11149	115	9	prw	prw	PROPN
fcis-11149	115	10	region	region	PROPN
fcis-11149	115	11	correction	correction	NOUN
fcis-11149	115	12	[	[	X
fcis-11149	115	13	j	j	X
fcis-11149	115	14	]	]	X
fcis-11149	115	15	.	.	PUNCT
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fcis-11149	116	2	simulation	simulation	NOUN
fcis-11149	116	3	,	,	PUNCT
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fcis-11149	116	5	(	(	PUNCT
fcis-11149	116	6	11	11	NUM
fcis-11149	116	7	):	):	SYM
fcis-11149	116	8	235	235	NUM
fcis-11149	116	9	-	-	SYM
fcis-11149	116	10	239	239	NUM
fcis-11149	116	11	.	.	PUNCT
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fcis-11149	117	3	]	]	X
fcis-11149	117	4	zhou	zhou	PROPN
fcis-11149	117	5	xiaojun	xiaojun	PROPN
fcis-11149	117	6	,	,	PUNCT
fcis-11149	117	7	geng	geng	PROPN
fcis-11149	117	8	chuanyu	chuanyu	PROPN
fcis-11149	117	9	,	,	PUNCT
fcis-11149	117	10	yang	yang	PROPN
fcis-11149	117	11	chunhua	chunhua	PROPN
fcis-11149	117	12	.	.	PUNCT
fcis-11149	118	1	medical	medical	ADJ
fcis-11149	118	2	image	image	NOUN
fcis-11149	118	3	segmentation	segmentation	NOUN
fcis-11149	118	4	based	base	VERB
fcis-11149	118	5	on	on	ADP
fcis-11149	118	6	state	state	NOUN
fcis-11149	118	7	transition	transition	NOUN
fcis-11149	118	8	algorithm	algorithm	NOUN
fcis-11149	118	9	and	and	CCONJ
fcis-11149	118	10	u	u	NOUN
fcis-11149	118	11	-	-	NOUN
fcis-11149	118	12	net	net	ADJ
fcis-11149	119	1	[	[	X
fcis-11149	119	2	j	j	X
fcis-11149	119	3	]	]	X
fcis-11149	119	4	.	.	PUNCT
fcis-11149	120	1	journal	journal	PROPN
fcis-11149	120	2	of	of	ADP
fcis-11149	120	3	central	central	PROPN
fcis-11149	120	4	south	south	PROPN
fcis-11149	120	5	university	university	PROPN
fcis-11149	120	6	(	(	PUNCT
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fcis-11149	120	8	science	science	NOUN
fcis-11149	120	9	edition	edition	NOUN
fcis-11149	120	10	)	)	PUNCT
fcis-11149	120	11	,	,	PUNCT
fcis-11149	120	12	2023,54	2023,54	NUM
fcis-11149	120	13	(	(	PUNCT
fcis-11149	120	14	04	04	NUM
fcis-11149	120	15	):	):	PUNCT
fcis-11149	120	16	1358	1358	NUM
fcis-11149	120	17	-	-	SYM
fcis-11149	120	18	1369	1369	NUM
fcis-11149	120	19	.	.	PUNCT
fcis-11149	121	1	[	[	X
fcis-11149	121	2	13	13	NUM
fcis-11149	121	3	]	]	X
fcis-11149	121	4	wang	wang	PROPN
fcis-11149	121	5	jinxiang	jinxiang	PROPN
fcis-11149	121	6	,	,	PUNCT
fcis-11149	121	7	fu	fu	PROPN
fcis-11149	121	8	lijun	lijun	PROPN
fcis-11149	121	9	,	,	PUNCT
fcis-11149	121	10	yin	yin	PROPN
fcis-11149	121	11	pengbin	pengbin	NOUN
fcis-11149	121	12	,	,	PUNCT
fcis-11149	121	13	et	et	PROPN
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fcis-11149	121	17	image	image	NOUN
fcis-11149	121	18	segmentation	segmentation	NOUN
fcis-11149	121	19	based	base	VERB
fcis-11149	121	20	on	on	ADP
fcis-11149	121	21	cnn	cnn	PROPN
fcis-11149	121	22	and	and	CCONJ
fcis-11149	121	23	transformer	transformer	NOUN
fcis-11149	121	24	[	[	X
fcis-11149	121	25	j	j	X
fcis-11149	121	26	]	]	X
fcis-11149	121	27	.	.	PUNCT
fcis-11149	122	1	computer	computer	NOUN
fcis-11149	122	2	system	system	NOUN
fcis-11149	122	3	application	application	NOUN
fcis-11149	122	4	,	,	PUNCT
fcis-11149	122	5	2023,32	2023,32	NUM
fcis-11149	122	6	(	(	PUNCT
fcis-11149	122	7	04	04	NUM
fcis-11149	122	8	):	):	PUNCT
fcis-11149	122	9	141	141	NUM
fcis-11149	122	10	-	-	SYM
fcis-11149	122	11	148	148	NUM
fcis-11149	122	12	.	.	PUNCT