id	sid	tid	token	lemma	pos
ajst-30181	1	1	academic	academic	ADJ
ajst-30181	1	2	journal	journal	NOUN
ajst-30181	1	3	of	of	ADP
ajst-30181	1	4	science	science	NOUN
ajst-30181	1	5	and	and	CCONJ
ajst-30181	1	6	technology	technology	NOUN
ajst-30181	1	7	issn	issn	NOUN
ajst-30181	1	8	:	:	PUNCT
ajst-30181	1	9	2771	2771	NUM
ajst-30181	1	10	-	-	SYM
ajst-30181	1	11	3032	3032	NUM
ajst-30181	1	12	|	|	NOUN
ajst-30181	1	13	vol	vol	NOUN
ajst-30181	1	14	.	.	PUNCT
ajst-30181	2	1	14	14	NUM
ajst-30181	2	2	,	,	PUNCT
ajst-30181	2	3	no	no	INTJ
ajst-30181	3	1	.	.	NOUN
ajst-30181	3	2	3	3	NUM
ajst-30181	3	3	,	,	PUNCT
ajst-30181	3	4	2025	2025	NUM
ajst-30181	3	5	69	69	NUM
ajst-30181	3	6	mambaformer3d	mambaformer3d	NOUN
ajst-30181	3	7	:	:	PUNCT
ajst-30181	3	8	a	a	DET
ajst-30181	3	9	hybrid	hybrid	ADJ
ajst-30181	3	10	transformer‐mamba	transformer‐mamba	ADJ
ajst-30181	3	11	network	network	NOUN
ajst-30181	3	12	for	for	ADP
ajst-30181	3	13	3d	3d	PROPN
ajst-30181	3	14	brain	brain	NOUN
ajst-30181	3	15	tumor	tumor	NOUN
ajst-30181	3	16	segmentation	segmentation	NOUN
ajst-30181	3	17	beibei	beibei	PROPN
ajst-30181	3	18	hou	hou	PROPN
ajst-30181	3	19	,	,	PUNCT
ajst-30181	3	20	saizong	saizong	PROPN
ajst-30181	3	21	guan	guan	PROPN
ajst-30181	3	22	school	school	NOUN
ajst-30181	3	23	of	of	ADP
ajst-30181	3	24	computer	computer	NOUN
ajst-30181	3	25	science	science	NOUN
ajst-30181	3	26	and	and	CCONJ
ajst-30181	3	27	technology	technology	NOUN
ajst-30181	3	28	,	,	PUNCT
ajst-30181	3	29	henan	henan	PROPN
ajst-30181	3	30	polytechnic	polytechnic	PROPN
ajst-30181	3	31	university	university	PROPN
ajst-30181	3	32	,	,	PUNCT
ajst-30181	3	33	jiaozuo	jiaozuo	PROPN
ajst-30181	3	34	454000	454000	NUM
ajst-30181	3	35	,	,	PUNCT
ajst-30181	3	36	china	china	PROPN
ajst-30181	3	37	abstract	abstract	PROPN
ajst-30181	3	38	:	:	PUNCT
ajst-30181	4	1	in	in	ADP
ajst-30181	4	2	recent	recent	ADJ
ajst-30181	4	3	years	year	NOUN
ajst-30181	4	4	,	,	PUNCT
ajst-30181	4	5	vision	vision	NOUN
ajst-30181	4	6	transformers	transformer	NOUN
ajst-30181	4	7	(	(	PUNCT
ajst-30181	4	8	vits	vit	NOUN
ajst-30181	4	9	)	)	PUNCT
ajst-30181	4	10	have	have	AUX
ajst-30181	4	11	demonstrated	demonstrate	VERB
ajst-30181	4	12	strong	strong	ADJ
ajst-30181	4	13	performance	performance	NOUN
ajst-30181	4	14	in	in	ADP
ajst-30181	4	15	3d	3d	NUM
ajst-30181	4	16	medical	medical	ADJ
ajst-30181	4	17	image	image	NOUN
ajst-30181	4	18	segmentation	segmentation	NOUN
ajst-30181	4	19	,	,	PUNCT
ajst-30181	4	20	particularly	particularly	ADV
ajst-30181	4	21	in	in	ADP
ajst-30181	4	22	capturing	capture	VERB
ajst-30181	4	23	global	global	ADJ
ajst-30181	4	24	features	feature	NOUN
ajst-30181	4	25	and	and	CCONJ
ajst-30181	4	26	modeling	model	VERB
ajst-30181	4	27	long	long	ADJ
ajst-30181	4	28	-	-	PUNCT
ajst-30181	4	29	range	range	NOUN
ajst-30181	4	30	dependencies	dependency	NOUN
ajst-30181	4	31	.	.	PUNCT
ajst-30181	5	1	however	however	ADV
ajst-30181	5	2	,	,	PUNCT
ajst-30181	5	3	the	the	DET
ajst-30181	5	4	self	self	NOUN
ajst-30181	5	5	-	-	PUNCT
ajst-30181	5	6	attention	attention	NOUN
ajst-30181	5	7	mechanism	mechanism	NOUN
ajst-30181	5	8	in	in	ADP
ajst-30181	5	9	vits	vit	NOUN
ajst-30181	5	10	faces	face	VERB
ajst-30181	5	11	significant	significant	ADJ
ajst-30181	5	12	computational	computational	ADJ
ajst-30181	5	13	challenges	challenge	NOUN
ajst-30181	5	14	due	due	ADP
ajst-30181	5	15	to	to	ADP
ajst-30181	5	16	its	its	PRON
ajst-30181	5	17	quadratic	quadratic	ADJ
ajst-30181	5	18	complexity	complexity	NOUN
ajst-30181	5	19	,	,	PUNCT
ajst-30181	5	20	especially	especially	ADV
ajst-30181	5	21	when	when	SCONJ
ajst-30181	5	22	applied	apply	VERB
ajst-30181	5	23	to	to	ADP
ajst-30181	5	24	threedimensional	threedimensional	ADJ
ajst-30181	5	25	medical	medical	ADJ
ajst-30181	5	26	images	image	NOUN
ajst-30181	5	27	,	,	PUNCT
ajst-30181	5	28	resulting	result	VERB
ajst-30181	5	29	in	in	ADP
ajst-30181	5	30	a	a	DET
ajst-30181	5	31	high	high	ADJ
ajst-30181	5	32	number	number	NOUN
ajst-30181	5	33	of	of	ADP
ajst-30181	5	34	parameters	parameter	NOUN
ajst-30181	5	35	and	and	CCONJ
ajst-30181	5	36	increased	increase	VERB
ajst-30181	5	37	computational	computational	ADJ
ajst-30181	5	38	overhead	overhead	NOUN
ajst-30181	5	39	.	.	PUNCT
ajst-30181	6	1	this	this	DET
ajst-30181	6	2	limitation	limitation	NOUN
ajst-30181	6	3	hampers	hamper	VERB
ajst-30181	6	4	their	their	PRON
ajst-30181	6	5	deployment	deployment	NOUN
ajst-30181	6	6	on	on	ADP
ajst-30181	6	7	resource	resource	NOUN
ajst-30181	6	8	-	-	PUNCT
ajst-30181	6	9	constrained	constrain	VERB
ajst-30181	6	10	devices	device	NOUN
ajst-30181	6	11	.	.	PUNCT
ajst-30181	7	1	to	to	PART
ajst-30181	7	2	address	address	VERB
ajst-30181	7	3	this	this	DET
ajst-30181	7	4	challenge	challenge	NOUN
ajst-30181	7	5	,	,	PUNCT
ajst-30181	7	6	this	this	DET
ajst-30181	7	7	paper	paper	NOUN
ajst-30181	7	8	proposes	propose	VERB
ajst-30181	7	9	a	a	DET
ajst-30181	7	10	lightweight	lightweight	ADJ
ajst-30181	7	11	mambaformer	mambaformer	NOUN
ajst-30181	7	12	architecture	architecture	NOUN
ajst-30181	7	13	,	,	PUNCT
ajst-30181	7	14	which	which	PRON
ajst-30181	7	15	leverages	leverage	VERB
ajst-30181	7	16	the	the	DET
ajst-30181	7	17	efficient	efficient	ADJ
ajst-30181	7	18	representation	representation	NOUN
ajst-30181	7	19	learning	learning	NOUN
ajst-30181	7	20	capability	capability	NOUN
ajst-30181	7	21	of	of	ADP
ajst-30181	7	22	the	the	DET
ajst-30181	7	23	mamba	mamba	PROPN
ajst-30181	7	24	ssm	ssm	PROPN
ajst-30181	7	25	and	and	CCONJ
ajst-30181	7	26	the	the	DET
ajst-30181	7	27	global	global	ADJ
ajst-30181	7	28	feature	feature	NOUN
ajst-30181	7	29	extraction	extraction	NOUN
ajst-30181	7	30	strength	strength	NOUN
ajst-30181	7	31	of	of	ADP
ajst-30181	7	32	transformers	transformer	NOUN
ajst-30181	7	33	,	,	PUNCT
ajst-30181	7	34	achieving	achieve	VERB
ajst-30181	7	35	linear	linear	ADJ
ajst-30181	7	36	computational	computational	ADJ
ajst-30181	7	37	complexity	complexity	NOUN
ajst-30181	7	38	.	.	PUNCT
ajst-30181	8	1	the	the	DET
ajst-30181	8	2	synergy	synergy	NOUN
ajst-30181	8	3	between	between	ADP
ajst-30181	8	4	the	the	DET
ajst-30181	8	5	malr	malr	PROPN
ajst-30181	8	6	and	and	CCONJ
ajst-30181	8	7	lma	lma	PROPN
ajst-30181	8	8	modules	module	NOUN
ajst-30181	8	9	ensures	ensure	VERB
ajst-30181	8	10	computational	computational	ADJ
ajst-30181	8	11	efficiency	efficiency	NOUN
ajst-30181	8	12	while	while	SCONJ
ajst-30181	8	13	significantly	significantly	ADV
ajst-30181	8	14	enhancing	enhance	VERB
ajst-30181	8	15	segmentation	segmentation	NOUN
ajst-30181	8	16	performance	performance	NOUN
ajst-30181	8	17	,	,	PUNCT
ajst-30181	8	18	particularly	particularly	ADV
ajst-30181	8	19	in	in	ADP
ajst-30181	8	20	brain	brain	NOUN
ajst-30181	8	21	tumor	tumor	NOUN
ajst-30181	8	22	segmentation	segmentation	NOUN
ajst-30181	8	23	tasks	task	NOUN
ajst-30181	8	24	.	.	PUNCT
ajst-30181	9	1	experimental	experimental	ADJ
ajst-30181	9	2	results	result	NOUN
ajst-30181	9	3	demonstrate	demonstrate	VERB
ajst-30181	9	4	that	that	SCONJ
ajst-30181	9	5	mambaformer3d	mambaformer3d	NOUN
ajst-30181	9	6	exhibits	exhibit	VERB
ajst-30181	9	7	superior	superior	ADJ
ajst-30181	9	8	performance	performance	NOUN
ajst-30181	9	9	in	in	ADP
ajst-30181	9	10	processing	process	VERB
ajst-30181	9	11	multi	multi	ADJ
ajst-30181	9	12	-	-	ADJ
ajst-30181	9	13	modal	modal	ADJ
ajst-30181	9	14	brats	brat	NOUN
ajst-30181	9	15	data	datum	NOUN
ajst-30181	9	16	,	,	PUNCT
ajst-30181	9	17	showing	show	VERB
ajst-30181	9	18	great	great	ADJ
ajst-30181	9	19	potential	potential	NOUN
ajst-30181	9	20	in	in	ADP
ajst-30181	9	21	computationally	computationally	ADV
ajst-30181	9	22	constrained	constrain	VERB
ajst-30181	9	23	environments	environment	NOUN
ajst-30181	9	24	.	.	PUNCT
ajst-30181	10	1	keywords	keyword	NOUN
ajst-30181	10	2	:	:	PUNCT
ajst-30181	10	3	image	image	NOUN
ajst-30181	10	4	segmentation	segmentation	NOUN
ajst-30181	10	5	;	;	PUNCT
ajst-30181	10	6	transformer	transformer	NOUN
ajst-30181	10	7	;	;	PUNCT
ajst-30181	10	8	mamba	mamba	NOUN
ajst-30181	10	9	;	;	PUNCT
ajst-30181	10	10	lightweight	lightweight	ADJ
ajst-30181	10	11	.	.	PUNCT
ajst-30181	11	1	1	1	X
ajst-30181	11	2	.	.	X
ajst-30181	11	3	introduction	introduction	NOUN
ajst-30181	11	4	medical	medical	ADJ
ajst-30181	11	5	image	image	NOUN
ajst-30181	11	6	segmentation	segmentation	NOUN
ajst-30181	11	7	is	be	AUX
ajst-30181	11	8	a	a	DET
ajst-30181	11	9	crucial	crucial	ADJ
ajst-30181	11	10	technique	technique	NOUN
ajst-30181	11	11	for	for	ADP
ajst-30181	11	12	accurately	accurately	ADV
ajst-30181	11	13	delineating	delineate	VERB
ajst-30181	11	14	anatomical	anatomical	ADJ
ajst-30181	11	15	structures	structure	NOUN
ajst-30181	11	16	or	or	CCONJ
ajst-30181	11	17	pathological	pathological	ADJ
ajst-30181	11	18	regions	region	NOUN
ajst-30181	11	19	,	,	PUNCT
ajst-30181	11	20	with	with	ADP
ajst-30181	11	21	significant	significant	ADJ
ajst-30181	11	22	applications	application	NOUN
ajst-30181	11	23	in	in	ADP
ajst-30181	11	24	clinical	clinical	ADJ
ajst-30181	11	25	diagnosis	diagnosis	NOUN
ajst-30181	11	26	,	,	PUNCT
ajst-30181	11	27	treatment	treatment	NOUN
ajst-30181	11	28	planning	planning	NOUN
ajst-30181	11	29	,	,	PUNCT
ajst-30181	11	30	and	and	CCONJ
ajst-30181	11	31	disease	disease	NOUN
ajst-30181	11	32	monitoring	monitor	VERB
ajst-30181	11	33	[	[	X
ajst-30181	11	34	1	1	NUM
ajst-30181	11	35	]	]	PUNCT
ajst-30181	11	36	.	.	PUNCT
ajst-30181	12	1	among	among	ADP
ajst-30181	12	2	its	its	PRON
ajst-30181	12	3	various	various	ADJ
ajst-30181	12	4	applications	application	NOUN
ajst-30181	12	5	,	,	PUNCT
ajst-30181	12	6	brain	brain	NOUN
ajst-30181	12	7	tumor	tumor	NOUN
ajst-30181	12	8	segmentation	segmentation	NOUN
ajst-30181	12	9	is	be	AUX
ajst-30181	12	10	a	a	DET
ajst-30181	12	11	vital	vital	ADJ
ajst-30181	12	12	task	task	NOUN
ajst-30181	12	13	that	that	PRON
ajst-30181	12	14	aims	aim	VERB
ajst-30181	12	15	to	to	PART
ajst-30181	12	16	identify	identify	VERB
ajst-30181	12	17	and	and	CCONJ
ajst-30181	12	18	segment	segment	VERB
ajst-30181	12	19	different	different	ADJ
ajst-30181	12	20	tumor	tumor	NOUN
ajst-30181	12	21	subregions	subregion	NOUN
ajst-30181	12	22	from	from	ADP
ajst-30181	12	23	multi	multi	ADJ
ajst-30181	12	24	-	-	ADJ
ajst-30181	12	25	modal	modal	ADJ
ajst-30181	12	26	mri	mri	NOUN
ajst-30181	12	27	scans	scan	NOUN
ajst-30181	12	28	,	,	PUNCT
ajst-30181	12	29	such	such	ADJ
ajst-30181	12	30	as	as	ADP
ajst-30181	12	31	t1	t1	NOUN
ajst-30181	12	32	,	,	PUNCT
ajst-30181	12	33	t1ce	t1ce	NUM
ajst-30181	12	34	,	,	PUNCT
ajst-30181	12	35	t2	t2	NOUN
ajst-30181	12	36	,	,	PUNCT
ajst-30181	12	37	and	and	CCONJ
ajst-30181	12	38	flair	flair	NOUN
ajst-30181	12	39	[	[	X
ajst-30181	12	40	2	2	NUM
ajst-30181	12	41	]	]	PUNCT
ajst-30181	12	42	.	.	PUNCT
ajst-30181	13	1	these	these	DET
ajst-30181	13	2	subregions	subregion	NOUN
ajst-30181	13	3	include	include	VERB
ajst-30181	13	4	enhancing	enhance	VERB
ajst-30181	13	5	tumor	tumor	NOUN
ajst-30181	13	6	,	,	PUNCT
ajst-30181	13	7	edema	edema	NOUN
ajst-30181	13	8	,	,	PUNCT
ajst-30181	13	9	and	and	CCONJ
ajst-30181	13	10	necrosis	necrosis	NOUN
ajst-30181	13	11	[	[	X
ajst-30181	13	12	3	3	NUM
ajst-30181	13	13	]	]	PUNCT
ajst-30181	13	14	.	.	PUNCT
ajst-30181	14	1	due	due	ADP
ajst-30181	14	2	to	to	ADP
ajst-30181	14	3	the	the	DET
ajst-30181	14	4	complex	complex	ADJ
ajst-30181	14	5	3d	3d	NUM
ajst-30181	14	6	volume	volume	NOUN
ajst-30181	14	7	of	of	ADP
ajst-30181	14	8	brain	brain	NOUN
ajst-30181	14	9	tumors	tumor	NOUN
ajst-30181	14	10	,	,	PUNCT
ajst-30181	14	11	class	class	NOUN
ajst-30181	14	12	imbalance	imbalance	NOUN
ajst-30181	14	13	,	,	PUNCT
ajst-30181	14	14	and	and	CCONJ
ajst-30181	14	15	indistinct	indistinct	ADJ
ajst-30181	14	16	boundaries	boundary	NOUN
ajst-30181	14	17	,	,	PUNCT
ajst-30181	14	18	achieving	achieve	VERB
ajst-30181	14	19	accurate	accurate	ADJ
ajst-30181	14	20	segmentation	segmentation	NOUN
ajst-30181	14	21	poses	pose	VERB
ajst-30181	14	22	substantial	substantial	ADJ
ajst-30181	14	23	challenges	challenge	NOUN
ajst-30181	14	24	[	[	X
ajst-30181	14	25	4	4	NUM
ajst-30181	14	26	]	]	PUNCT
ajst-30181	14	27	.	.	PUNCT
ajst-30181	15	1	in	in	ADP
ajst-30181	15	2	brain	brain	NOUN
ajst-30181	15	3	tumor	tumor	NOUN
ajst-30181	15	4	segmentation	segmentation	NOUN
ajst-30181	15	5	research	research	NOUN
ajst-30181	15	6	,	,	PUNCT
ajst-30181	15	7	gliomas	glioma	NOUN
ajst-30181	15	8	are	be	AUX
ajst-30181	15	9	the	the	DET
ajst-30181	15	10	primary	primary	ADJ
ajst-30181	15	11	target	target	NOUN
ajst-30181	15	12	,	,	PUNCT
ajst-30181	15	13	which	which	PRON
ajst-30181	15	14	are	be	AUX
ajst-30181	15	15	categorized	categorize	VERB
ajst-30181	15	16	into	into	ADP
ajst-30181	15	17	high	high	ADJ
ajst-30181	15	18	-	-	PUNCT
ajst-30181	15	19	grade	grade	NOUN
ajst-30181	15	20	gliomas	glioma	NOUN
ajst-30181	15	21	(	(	PUNCT
ajst-30181	15	22	hgg	hgg	NOUN
ajst-30181	15	23	)	)	PUNCT
ajst-30181	15	24	and	and	CCONJ
ajst-30181	15	25	low	low	ADJ
ajst-30181	15	26	-	-	PUNCT
ajst-30181	15	27	grade	grade	NOUN
ajst-30181	15	28	gliomas	glioma	NOUN
ajst-30181	15	29	(	(	PUNCT
ajst-30181	15	30	lgg	lgg	PROPN
ajst-30181	15	31	)	)	PUNCT
ajst-30181	15	32	based	base	VERB
ajst-30181	15	33	on	on	ADP
ajst-30181	15	34	their	their	PRON
ajst-30181	15	35	malignancy	malignancy	NOUN
ajst-30181	15	36	[	[	X
ajst-30181	15	37	5	5	NUM
ajst-30181	15	38	]	]	PUNCT
ajst-30181	15	39	.	.	PUNCT
ajst-30181	16	1	hggs	hggs	PROPN
ajst-30181	16	2	grow	grow	VERB
ajst-30181	16	3	rapidly	rapidly	ADV
ajst-30181	16	4	,	,	PUNCT
ajst-30181	16	5	are	be	AUX
ajst-30181	16	6	highly	highly	ADV
ajst-30181	16	7	invasive	invasive	ADJ
ajst-30181	16	8	,	,	PUNCT
ajst-30181	16	9	and	and	CCONJ
ajst-30181	16	10	have	have	VERB
ajst-30181	16	11	a	a	DET
ajst-30181	16	12	poor	poor	ADJ
ajst-30181	16	13	prognosis	prognosis	NOUN
ajst-30181	16	14	,	,	PUNCT
ajst-30181	16	15	while	while	SCONJ
ajst-30181	16	16	lggs	lgg	NOUN
ajst-30181	16	17	grow	grow	VERB
ajst-30181	16	18	slowly	slowly	ADV
ajst-30181	16	19	and	and	CCONJ
ajst-30181	16	20	have	have	VERB
ajst-30181	16	21	relatively	relatively	ADV
ajst-30181	16	22	better	well	ADJ
ajst-30181	16	23	outcomes	outcome	NOUN
ajst-30181	16	24	.	.	PUNCT
ajst-30181	17	1	multi	multi	ADJ
ajst-30181	17	2	-	-	ADJ
ajst-30181	17	3	modal	modal	ADJ
ajst-30181	17	4	mri	mri	NOUN
ajst-30181	17	5	is	be	AUX
ajst-30181	17	6	the	the	DET
ajst-30181	17	7	mainstream	mainstream	NOUN
ajst-30181	17	8	approach	approach	NOUN
ajst-30181	17	9	for	for	ADP
ajst-30181	17	10	analyzing	analyze	VERB
ajst-30181	17	11	brain	brain	NOUN
ajst-30181	17	12	tumors	tumor	NOUN
ajst-30181	18	1	[	[	X
ajst-30181	18	2	6	6	NUM
ajst-30181	18	3	]	]	PUNCT
ajst-30181	18	4	,	,	PUNCT
ajst-30181	18	5	as	as	SCONJ
ajst-30181	18	6	different	different	ADJ
ajst-30181	18	7	modalities	modality	NOUN
ajst-30181	18	8	provide	provide	VERB
ajst-30181	18	9	diverse	diverse	ADJ
ajst-30181	18	10	characteristics	characteristic	NOUN
ajst-30181	18	11	of	of	ADP
ajst-30181	18	12	tumor	tumor	NOUN
ajst-30181	18	13	tissues	tissue	NOUN
ajst-30181	18	14	,	,	PUNCT
ajst-30181	18	15	facilitating	facilitate	VERB
ajst-30181	18	16	a	a	DET
ajst-30181	18	17	comprehensive	comprehensive	ADJ
ajst-30181	18	18	understanding	understanding	NOUN
ajst-30181	18	19	of	of	ADP
ajst-30181	18	20	various	various	ADJ
ajst-30181	18	21	tumor	tumor	NOUN
ajst-30181	18	22	regions	region	NOUN
ajst-30181	18	23	and	and	CCONJ
ajst-30181	18	24	aiding	aid	VERB
ajst-30181	18	25	in	in	ADP
ajst-30181	18	26	accurate	accurate	ADJ
ajst-30181	18	27	diagnosis	diagnosis	NOUN
ajst-30181	18	28	and	and	CCONJ
ajst-30181	18	29	treatment	treatment	NOUN
ajst-30181	18	30	planning	planning	NOUN
ajst-30181	18	31	.	.	PUNCT
ajst-30181	19	1	convolutional	convolutional	ADJ
ajst-30181	19	2	neural	neural	ADJ
ajst-30181	19	3	networks	network	NOUN
ajst-30181	19	4	(	(	PUNCT
ajst-30181	19	5	cnns	cnns	PROPN
ajst-30181	19	6	)	)	PUNCT
ajst-30181	20	1	[	[	X
ajst-30181	20	2	7	7	NUM
ajst-30181	20	3	]	]	PUNCT
ajst-30181	20	4	are	be	AUX
ajst-30181	20	5	classic	classic	ADJ
ajst-30181	20	6	methods	method	NOUN
ajst-30181	20	7	widely	widely	ADV
ajst-30181	20	8	used	use	VERB
ajst-30181	20	9	for	for	ADP
ajst-30181	20	10	medical	medical	ADJ
ajst-30181	20	11	image	image	NOUN
ajst-30181	20	12	segmentation	segmentation	NOUN
ajst-30181	20	13	,	,	PUNCT
ajst-30181	20	14	with	with	ADP
ajst-30181	20	15	popular	popular	ADJ
ajst-30181	20	16	models	model	NOUN
ajst-30181	20	17	like	like	ADP
ajst-30181	20	18	u	u	NOUN
ajst-30181	20	19	-	-	NOUN
ajst-30181	20	20	net	net	ADJ
ajst-30181	20	21	[	[	X
ajst-30181	20	22	8	8	NUM
ajst-30181	20	23	]	]	PUNCT
ajst-30181	20	24	,	,	PUNCT
ajst-30181	20	25	v	v	NOUN
ajst-30181	20	26	-	-	NOUN
ajst-30181	20	27	net	net	NOUN
ajst-30181	20	28	[	[	X
ajst-30181	20	29	9	9	NUM
ajst-30181	20	30	]	]	PUNCT
ajst-30181	20	31	,	,	PUNCT
ajst-30181	20	32	and	and	CCONJ
ajst-30181	20	33	attention	attention	NOUN
ajst-30181	20	34	unet	unet	NOUN
ajst-30181	21	1	[	[	X
ajst-30181	21	2	10	10	NUM
ajst-30181	21	3	]	]	X
ajst-30181	21	4	achieving	achieve	VERB
ajst-30181	21	5	remarkable	remarkable	ADJ
ajst-30181	21	6	results	result	NOUN
ajst-30181	21	7	in	in	ADP
ajst-30181	21	8	various	various	ADJ
ajst-30181	21	9	tasks	task	NOUN
ajst-30181	21	10	.	.	PUNCT
ajst-30181	22	1	these	these	DET
ajst-30181	22	2	models	model	NOUN
ajst-30181	22	3	utilize	utilize	VERB
ajst-30181	22	4	convolutional	convolutional	ADJ
ajst-30181	22	5	layers	layer	NOUN
ajst-30181	22	6	to	to	PART
ajst-30181	22	7	extract	extract	VERB
ajst-30181	22	8	spatial	spatial	ADJ
ajst-30181	22	9	features	feature	NOUN
ajst-30181	22	10	and	and	CCONJ
ajst-30181	22	11	employ	employ	VERB
ajst-30181	22	12	encoder	encoder	NOUN
ajst-30181	22	13	-	-	PUNCT
ajst-30181	22	14	decoder	decoder	NOUN
ajst-30181	22	15	architectures	architecture	NOUN
ajst-30181	22	16	to	to	PART
ajst-30181	22	17	capture	capture	VERB
ajst-30181	22	18	hierarchical	hierarchical	ADJ
ajst-30181	22	19	information	information	NOUN
ajst-30181	22	20	,	,	PUNCT
ajst-30181	22	21	making	make	VERB
ajst-30181	22	22	them	they	PRON
ajst-30181	22	23	effective	effective	ADJ
ajst-30181	22	24	for	for	ADP
ajst-30181	22	25	segmenting	segment	VERB
ajst-30181	22	26	anatomical	anatomical	ADJ
ajst-30181	22	27	structures	structure	NOUN
ajst-30181	22	28	or	or	CCONJ
ajst-30181	22	29	pathological	pathological	ADJ
ajst-30181	22	30	regions	region	NOUN
ajst-30181	22	31	.	.	PUNCT
ajst-30181	23	1	despite	despite	SCONJ
ajst-30181	23	2	their	their	PRON
ajst-30181	23	3	success	success	NOUN
ajst-30181	23	4	in	in	ADP
ajst-30181	23	5	medical	medical	ADJ
ajst-30181	23	6	image	image	NOUN
ajst-30181	23	7	segmentation	segmentation	NOUN
ajst-30181	23	8	,	,	PUNCT
ajst-30181	23	9	cnns	cnn	NOUN
ajst-30181	23	10	have	have	VERB
ajst-30181	23	11	notable	notable	ADJ
ajst-30181	23	12	limitations	limitation	NOUN
ajst-30181	23	13	.	.	PUNCT
ajst-30181	24	1	cnns	cnn	NOUN
ajst-30181	24	2	rely	rely	VERB
ajst-30181	24	3	on	on	ADP
ajst-30181	24	4	local	local	ADJ
ajst-30181	24	5	receptive	receptive	ADJ
ajst-30181	24	6	fields	field	NOUN
ajst-30181	24	7	,	,	PUNCT
ajst-30181	24	8	making	make	VERB
ajst-30181	24	9	it	it	PRON
ajst-30181	24	10	challenging	challenging	ADJ
ajst-30181	24	11	to	to	PART
ajst-30181	24	12	capture	capture	VERB
ajst-30181	24	13	long	long	ADJ
ajst-30181	24	14	-	-	PUNCT
ajst-30181	24	15	range	range	NOUN
ajst-30181	24	16	dependencies	dependency	NOUN
ajst-30181	24	17	and	and	CCONJ
ajst-30181	24	18	global	global	ADJ
ajst-30181	24	19	contextual	contextual	ADJ
ajst-30181	24	20	information	information	NOUN
ajst-30181	24	21	,	,	PUNCT
ajst-30181	24	22	which	which	PRON
ajst-30181	24	23	are	be	AUX
ajst-30181	24	24	crucial	crucial	ADJ
ajst-30181	24	25	for	for	ADP
ajst-30181	24	26	accurately	accurately	ADV
ajst-30181	24	27	segmenting	segment	VERB
ajst-30181	24	28	complex	complex	ADJ
ajst-30181	24	29	and	and	CCONJ
ajst-30181	24	30	heterogeneous	heterogeneous	ADJ
ajst-30181	24	31	tumor	tumor	NOUN
ajst-30181	24	32	regions	region	NOUN
ajst-30181	24	33	.	.	PUNCT
ajst-30181	25	1	to	to	PART
ajst-30181	25	2	address	address	VERB
ajst-30181	25	3	these	these	DET
ajst-30181	25	4	challenges	challenge	NOUN
ajst-30181	25	5	,	,	PUNCT
ajst-30181	25	6	transformer	transformer	NOUN
ajst-30181	25	7	-	-	PUNCT
ajst-30181	25	8	based	base	VERB
ajst-30181	25	9	models	model	NOUN
ajst-30181	25	10	have	have	AUX
ajst-30181	25	11	emerged	emerge	VERB
ajst-30181	25	12	as	as	ADP
ajst-30181	25	13	a	a	DET
ajst-30181	25	14	powerful	powerful	ADJ
ajst-30181	25	15	alternative	alternative	NOUN
ajst-30181	25	16	.	.	PUNCT
ajst-30181	26	1	transformers	transformer	NOUN
ajst-30181	26	2	[	[	X
ajst-30181	26	3	11	11	NUM
ajst-30181	26	4	]	]	PUNCT
ajst-30181	26	5	utilize	utilize	VERB
ajst-30181	26	6	a	a	DET
ajst-30181	26	7	self	self	NOUN
ajst-30181	26	8	-	-	PUNCT
ajst-30181	26	9	attention	attention	NOUN
ajst-30181	26	10	mechanism	mechanism	NOUN
ajst-30181	26	11	to	to	PART
ajst-30181	26	12	capture	capture	VERB
ajst-30181	26	13	global	global	ADJ
ajst-30181	26	14	dependencies	dependency	NOUN
ajst-30181	26	15	by	by	ADP
ajst-30181	26	16	considering	consider	VERB
ajst-30181	26	17	relationships	relationship	NOUN
ajst-30181	26	18	between	between	ADP
ajst-30181	26	19	all	all	DET
ajst-30181	26	20	pixels	pixel	NOUN
ajst-30181	26	21	or	or	CCONJ
ajst-30181	26	22	voxels	voxel	NOUN
ajst-30181	26	23	simultaneously	simultaneously	ADV
ajst-30181	26	24	.	.	PUNCT
ajst-30181	27	1	however	however	ADV
ajst-30181	27	2	,	,	PUNCT
ajst-30181	27	3	the	the	DET
ajst-30181	27	4	standard	standard	ADJ
ajst-30181	27	5	selfattention	selfattention	NOUN
ajst-30181	27	6	mechanism	mechanism	NOUN
ajst-30181	27	7	has	have	VERB
ajst-30181	27	8	a	a	DET
ajst-30181	27	9	quadratic	quadratic	ADJ
ajst-30181	27	10	computational	computational	ADJ
ajst-30181	27	11	complexity	complexity	NOUN
ajst-30181	27	12	concerning	concern	VERB
ajst-30181	27	13	the	the	DET
ajst-30181	27	14	input	input	NOUN
ajst-30181	27	15	size	size	NOUN
ajst-30181	27	16	,	,	PUNCT
ajst-30181	27	17	leading	lead	VERB
ajst-30181	27	18	to	to	ADP
ajst-30181	27	19	a	a	DET
ajst-30181	27	20	large	large	ADJ
ajst-30181	27	21	number	number	NOUN
ajst-30181	27	22	of	of	ADP
ajst-30181	27	23	parameters	parameter	NOUN
ajst-30181	27	24	and	and	CCONJ
ajst-30181	27	25	high	high	ADJ
ajst-30181	27	26	computational	computational	ADJ
ajst-30181	27	27	cost	cost	NOUN
ajst-30181	27	28	.	.	PUNCT
ajst-30181	28	1	this	this	DET
ajst-30181	28	2	complexity	complexity	NOUN
ajst-30181	28	3	makes	make	VERB
ajst-30181	28	4	it	it	PRON
ajst-30181	28	5	challenging	challenge	VERB
ajst-30181	28	6	to	to	PART
ajst-30181	28	7	deploy	deploy	VERB
ajst-30181	28	8	transformer	transformer	NOUN
ajst-30181	28	9	models	model	NOUN
ajst-30181	28	10	on	on	ADP
ajst-30181	28	11	mobile	mobile	ADJ
ajst-30181	28	12	or	or	CCONJ
ajst-30181	28	13	resource	resource	NOUN
ajst-30181	28	14	-	-	PUNCT
ajst-30181	28	15	constrained	constrain	VERB
ajst-30181	28	16	medical	medical	ADJ
ajst-30181	28	17	devices	device	NOUN
ajst-30181	28	18	.	.	PUNCT
ajst-30181	29	1	to	to	PART
ajst-30181	29	2	address	address	VERB
ajst-30181	29	3	these	these	DET
ajst-30181	29	4	limitations	limitation	NOUN
ajst-30181	29	5	,	,	PUNCT
ajst-30181	29	6	researchers	researcher	NOUN
ajst-30181	29	7	have	have	AUX
ajst-30181	29	8	explored	explore	VERB
ajst-30181	29	9	alternative	alternative	ADJ
ajst-30181	29	10	approaches	approach	NOUN
ajst-30181	29	11	like	like	ADP
ajst-30181	29	12	state	state	NOUN
ajst-30181	29	13	space	space	NOUN
ajst-30181	29	14	models	model	NOUN
ajst-30181	29	15	(	(	PUNCT
ajst-30181	29	16	ssms	ssm	NOUN
ajst-30181	29	17	)	)	PUNCT
ajst-30181	29	18	.	.	PUNCT
ajst-30181	30	1	ssms	ssm	NOUN
ajst-30181	30	2	have	have	AUX
ajst-30181	30	3	recently	recently	ADV
ajst-30181	30	4	garnered	garner	VERB
ajst-30181	30	5	significant	significant	ADJ
ajst-30181	30	6	attention	attention	NOUN
ajst-30181	30	7	for	for	ADP
ajst-30181	30	8	their	their	PRON
ajst-30181	30	9	ability	ability	NOUN
ajst-30181	30	10	to	to	PART
ajst-30181	30	11	model	model	VERB
ajst-30181	30	12	long	long	ADJ
ajst-30181	30	13	-	-	PUNCT
ajst-30181	30	14	range	range	NOUN
ajst-30181	30	15	dependencies	dependency	NOUN
ajst-30181	30	16	while	while	SCONJ
ajst-30181	30	17	maintaining	maintain	VERB
ajst-30181	30	18	linear	linear	ADJ
ajst-30181	30	19	computational	computational	ADJ
ajst-30181	30	20	complexity	complexity	NOUN
ajst-30181	30	21	.	.	PUNCT
ajst-30181	31	1	unlike	unlike	ADP
ajst-30181	31	2	transformers	transformer	NOUN
ajst-30181	31	3	,	,	PUNCT
ajst-30181	31	4	which	which	PRON
ajst-30181	31	5	face	face	VERB
ajst-30181	31	6	challenges	challenge	NOUN
ajst-30181	31	7	due	due	ADP
ajst-30181	31	8	to	to	ADP
ajst-30181	31	9	their	their	PRON
ajst-30181	31	10	quadratic	quadratic	ADJ
ajst-30181	31	11	complexity	complexity	NOUN
ajst-30181	31	12	,	,	PUNCT
ajst-30181	31	13	ssms	ssm	NOUN
ajst-30181	31	14	offer	offer	VERB
ajst-30181	31	15	a	a	DET
ajst-30181	31	16	more	more	ADV
ajst-30181	31	17	efficient	efficient	ADJ
ajst-30181	31	18	approach	approach	NOUN
ajst-30181	31	19	to	to	ADP
ajst-30181	31	20	processing	process	VERB
ajst-30181	31	21	sequential	sequential	ADJ
ajst-30181	31	22	data	datum	NOUN
ajst-30181	31	23	,	,	PUNCT
ajst-30181	31	24	making	make	VERB
ajst-30181	31	25	them	they	PRON
ajst-30181	31	26	suitable	suitable	ADJ
ajst-30181	31	27	for	for	ADP
ajst-30181	31	28	large	large	ADJ
ajst-30181	31	29	-	-	PUNCT
ajst-30181	31	30	scale	scale	NOUN
ajst-30181	31	31	medical	medical	ADJ
ajst-30181	31	32	image	image	NOUN
ajst-30181	31	33	segmentation	segmentation	NOUN
ajst-30181	31	34	.	.	PUNCT
ajst-30181	32	1	mamba	mamba	VERB
ajst-30181	33	1	[	[	X
ajst-30181	33	2	12	12	NUM
ajst-30181	33	3	]	]	X
ajst-30181	33	4	,	,	PUNCT
ajst-30181	33	5	as	as	ADP
ajst-30181	33	6	a	a	DET
ajst-30181	33	7	representative	representative	ADJ
ajst-30181	33	8	ssm	ssm	NOUN
ajst-30181	33	9	,	,	PUNCT
ajst-30181	33	10	has	have	AUX
ajst-30181	33	11	been	be	AUX
ajst-30181	33	12	applied	apply	VERB
ajst-30181	33	13	successfully	successfully	ADV
ajst-30181	33	14	across	across	ADP
ajst-30181	33	15	various	various	ADJ
ajst-30181	33	16	domains	domain	NOUN
ajst-30181	33	17	like	like	ADP
ajst-30181	33	18	natural	natural	ADJ
ajst-30181	33	19	language	language	NOUN
ajst-30181	33	20	processing	processing	NOUN
ajst-30181	33	21	and	and	CCONJ
ajst-30181	33	22	computer	computer	NOUN
ajst-30181	33	23	vision	vision	NOUN
ajst-30181	33	24	.	.	PUNCT
ajst-30181	34	1	leveraging	leverage	VERB
ajst-30181	34	2	the	the	DET
ajst-30181	34	3	strengths	strength	NOUN
ajst-30181	34	4	of	of	ADP
ajst-30181	34	5	mamba	mamba	NOUN
ajst-30181	34	6	,	,	PUNCT
ajst-30181	34	7	several	several	ADJ
ajst-30181	34	8	medical	medical	ADJ
ajst-30181	34	9	image	image	NOUN
ajst-30181	34	10	segmentation	segmentation	NOUN
ajst-30181	34	11	models	model	NOUN
ajst-30181	34	12	have	have	AUX
ajst-30181	34	13	emerged	emerge	VERB
ajst-30181	34	14	.	.	PUNCT
ajst-30181	35	1	for	for	ADP
ajst-30181	35	2	example	example	NOUN
ajst-30181	35	3	,	,	PUNCT
ajst-30181	35	4	u	u	NOUN
ajst-30181	35	5	-	-	NOUN
ajst-30181	35	6	mamba	mamba	NOUN
ajst-30181	35	7	[	[	X
ajst-30181	35	8	13	13	NUM
ajst-30181	35	9	]	]	PUNCT
ajst-30181	35	10	integrates	integrate	VERB
ajst-30181	35	11	a	a	DET
ajst-30181	35	12	hybrid	hybrid	ADJ
ajst-30181	35	13	cnn	cnn	PROPN
ajst-30181	35	14	-	-	PUNCT
ajst-30181	35	15	ssm	ssm	PROPN
ajst-30181	35	16	block	block	NOUN
ajst-30181	35	17	,	,	PUNCT
ajst-30181	35	18	effectively	effectively	ADV
ajst-30181	35	19	combining	combine	VERB
ajst-30181	35	20	local	local	ADJ
ajst-30181	35	21	feature	feature	NOUN
ajst-30181	35	22	extraction	extraction	NOUN
ajst-30181	35	23	from	from	ADP
ajst-30181	35	24	cnns	cnn	NOUN
ajst-30181	35	25	and	and	CCONJ
ajst-30181	35	26	long	long	ADJ
ajst-30181	35	27	-	-	PUNCT
ajst-30181	35	28	range	range	NOUN
ajst-30181	35	29	contextual	contextual	ADJ
ajst-30181	35	30	modeling	modeling	NOUN
ajst-30181	35	31	from	from	ADP
ajst-30181	35	32	ssms	ssm	NOUN
ajst-30181	35	33	.	.	PUNCT
ajst-30181	36	1	this	this	DET
ajst-30181	36	2	model	model	NOUN
ajst-30181	36	3	has	have	AUX
ajst-30181	36	4	demonstrated	demonstrate	VERB
ajst-30181	36	5	effectiveness	effectiveness	NOUN
ajst-30181	36	6	in	in	ADP
ajst-30181	36	7	multiple	multiple	ADJ
ajst-30181	36	8	medical	medical	ADJ
ajst-30181	36	9	segmentation	segmentation	NOUN
ajst-30181	36	10	tasks	task	NOUN
ajst-30181	36	11	.	.	PUNCT
ajst-30181	37	1	vm	vm	NOUN
ajst-30181	37	2	-	-	NOUN
ajst-30181	37	3	unet	unet	NOUN
ajst-30181	37	4	[	[	X
ajst-30181	37	5	14	14	NUM
ajst-30181	37	6	]	]	PUNCT
ajst-30181	37	7	is	be	AUX
ajst-30181	37	8	a	a	DET
ajst-30181	37	9	medical	medical	ADJ
ajst-30181	37	10	image	image	NOUN
ajst-30181	37	11	segmentation	segmentation	NOUN
ajst-30181	37	12	model	model	NOUN
ajst-30181	37	13	based	base	VERB
ajst-30181	37	14	on	on	ADP
ajst-30181	37	15	state	state	NOUN
ajst-30181	37	16	space	space	NOUN
ajst-30181	37	17	models	model	NOUN
ajst-30181	37	18	(	(	PUNCT
ajst-30181	37	19	ssms	ssm	NOUN
ajst-30181	37	20	)	)	PUNCT
ajst-30181	37	21	.	.	PUNCT
ajst-30181	38	1	unlike	unlike	ADP
ajst-30181	38	2	cnns	cnn	NOUN
ajst-30181	38	3	,	,	PUNCT
ajst-30181	38	4	which	which	PRON
ajst-30181	38	5	struggle	struggle	VERB
ajst-30181	38	6	with	with	ADP
ajst-30181	38	7	longrange	longrange	PROPN
ajst-30181	38	8	dependencies	dependency	NOUN
ajst-30181	38	9	,	,	PUNCT
ajst-30181	38	10	and	and	CCONJ
ajst-30181	38	11	transformers	transformer	NOUN
ajst-30181	38	12	with	with	ADP
ajst-30181	38	13	high	high	ADJ
ajst-30181	38	14	computational	computational	ADJ
ajst-30181	38	15	complexity	complexity	NOUN
ajst-30181	38	16	,	,	PUNCT
ajst-30181	38	17	vm	vm	NOUN
ajst-30181	38	18	-	-	NOUN
ajst-30181	38	19	unet	unet	NOUN
ajst-30181	38	20	uses	use	VERB
ajst-30181	38	21	the	the	DET
ajst-30181	38	22	visual	visual	ADJ
ajst-30181	38	23	state	state	NOUN
ajst-30181	38	24	space	space	NOUN
ajst-30181	38	25	(	(	PUNCT
ajst-30181	38	26	vss	vss	NOUN
ajst-30181	38	27	)	)	PUNCT
ajst-30181	38	28	block	block	NOUN
ajst-30181	38	29	to	to	PART
ajst-30181	38	30	capture	capture	VERB
ajst-30181	38	31	extensive	extensive	ADJ
ajst-30181	38	32	contextual	contextual	ADJ
ajst-30181	38	33	information	information	NOUN
ajst-30181	38	34	efficiently	efficiently	ADV
ajst-30181	38	35	.	.	PUNCT
ajst-30181	39	1	its	its	PRON
ajst-30181	39	2	asymmetrical	asymmetrical	ADJ
ajst-30181	39	3	encoder	encoder	NOUN
ajst-30181	39	4	-	-	PUNCT
ajst-30181	39	5	decoder	decoder	NOUN
ajst-30181	39	6	structure	structure	NOUN
ajst-30181	39	7	reduces	reduce	VERB
ajst-30181	39	8	convolutional	convolutional	ADJ
ajst-30181	39	9	layers	layer	NOUN
ajst-30181	39	10	,	,	PUNCT
ajst-30181	39	11	lowering	lower	VERB
ajst-30181	39	12	computational	computational	ADJ
ajst-30181	39	13	costs	cost	NOUN
ajst-30181	39	14	while	while	SCONJ
ajst-30181	39	15	ensuring	ensure	VERB
ajst-30181	39	16	accurate	accurate	ADJ
ajst-30181	39	17	segmentation	segmentation	NOUN
ajst-30181	39	18	.	.	PUNCT
ajst-30181	40	1	70	70	NUM
ajst-30181	40	2	while	while	SCONJ
ajst-30181	40	3	the	the	DET
ajst-30181	40	4	aforementioned	aforementioned	ADJ
ajst-30181	40	5	methods	method	NOUN
ajst-30181	40	6	effectively	effectively	ADV
ajst-30181	40	7	leverage	leverage	VERB
ajst-30181	40	8	the	the	DET
ajst-30181	40	9	strengths	strength	NOUN
ajst-30181	40	10	of	of	ADP
ajst-30181	40	11	state	state	NOUN
ajst-30181	40	12	space	space	NOUN
ajst-30181	40	13	models	model	NOUN
ajst-30181	40	14	(	(	PUNCT
ajst-30181	40	15	ssms	ssm	NOUN
ajst-30181	40	16	)	)	PUNCT
ajst-30181	40	17	to	to	PART
ajst-30181	40	18	capture	capture	VERB
ajst-30181	40	19	long	long	ADJ
ajst-30181	40	20	-	-	PUNCT
ajst-30181	40	21	range	range	NOUN
ajst-30181	40	22	dependencies	dependency	NOUN
ajst-30181	40	23	,	,	PUNCT
ajst-30181	40	24	there	there	PRON
ajst-30181	40	25	is	be	VERB
ajst-30181	40	26	still	still	ADV
ajst-30181	40	27	room	room	NOUN
ajst-30181	40	28	for	for	ADP
ajst-30181	40	29	optimization	optimization	NOUN
ajst-30181	40	30	in	in	ADP
ajst-30181	40	31	terms	term	NOUN
ajst-30181	40	32	of	of	ADP
ajst-30181	40	33	lightweight	lightweight	ADJ
ajst-30181	40	34	design	design	NOUN
ajst-30181	40	35	.	.	PUNCT
ajst-30181	41	1	to	to	PART
ajst-30181	41	2	address	address	VERB
ajst-30181	41	3	this	this	PRON
ajst-30181	41	4	,	,	PUNCT
ajst-30181	41	5	we	we	PRON
ajst-30181	41	6	introduce	introduce	VERB
ajst-30181	41	7	mambaformer3d	mambaformer3d	PROPN
ajst-30181	41	8	,	,	PUNCT
ajst-30181	41	9	a	a	DET
ajst-30181	41	10	lightweight	lightweight	ADJ
ajst-30181	41	11	hybrid	hybrid	ADJ
ajst-30181	41	12	architecture	architecture	NOUN
ajst-30181	41	13	that	that	PRON
ajst-30181	41	14	fully	fully	ADV
ajst-30181	41	15	integrates	integrate	VERB
ajst-30181	41	16	the	the	DET
ajst-30181	41	17	efficient	efficient	ADJ
ajst-30181	41	18	sequential	sequential	ADJ
ajst-30181	41	19	processing	processing	NOUN
ajst-30181	41	20	capabilities	capability	NOUN
ajst-30181	41	21	of	of	ADP
ajst-30181	41	22	mamba	mamba	NOUN
ajst-30181	41	23	,	,	PUNCT
ajst-30181	41	24	the	the	DET
ajst-30181	41	25	local	local	ADJ
ajst-30181	41	26	receptive	receptive	ADJ
ajst-30181	41	27	field	field	NOUN
ajst-30181	41	28	advantages	advantage	NOUN
ajst-30181	41	29	of	of	ADP
ajst-30181	41	30	cnns	cnn	NOUN
ajst-30181	41	31	,	,	PUNCT
ajst-30181	41	32	and	and	CCONJ
ajst-30181	41	33	the	the	DET
ajst-30181	41	34	global	global	ADJ
ajst-30181	41	35	contextual	contextual	ADJ
ajst-30181	41	36	modeling	modeling	NOUN
ajst-30181	41	37	power	power	NOUN
ajst-30181	41	38	of	of	ADP
ajst-30181	41	39	transformers	transformer	NOUN
ajst-30181	41	40	.	.	PUNCT
ajst-30181	42	1	by	by	ADP
ajst-30181	42	2	combining	combine	VERB
ajst-30181	42	3	these	these	DET
ajst-30181	42	4	components	component	NOUN
ajst-30181	42	5	,	,	PUNCT
ajst-30181	42	6	mambaformer3d	mambaformer3d	AUX
ajst-30181	42	7	not	not	PART
ajst-30181	42	8	only	only	ADV
ajst-30181	42	9	enhances	enhance	VERB
ajst-30181	42	10	segmentation	segmentation	NOUN
ajst-30181	42	11	performance	performance	NOUN
ajst-30181	42	12	but	but	CCONJ
ajst-30181	42	13	also	also	ADV
ajst-30181	42	14	reduces	reduce	VERB
ajst-30181	42	15	computational	computational	ADJ
ajst-30181	42	16	complexity	complexity	NOUN
ajst-30181	42	17	,	,	PUNCT
ajst-30181	42	18	making	make	VERB
ajst-30181	42	19	it	it	PRON
ajst-30181	42	20	a	a	DET
ajst-30181	42	21	more	more	ADV
ajst-30181	42	22	efficient	efficient	ADJ
ajst-30181	42	23	solution	solution	NOUN
ajst-30181	42	24	for	for	ADP
ajst-30181	42	25	high	high	ADJ
ajst-30181	42	26	-	-	PUNCT
ajst-30181	42	27	resolution	resolution	NOUN
ajst-30181	42	28	3d	3d	NUM
ajst-30181	42	29	medical	medical	ADJ
ajst-30181	42	30	image	image	NOUN
ajst-30181	42	31	segmentation	segmentation	NOUN
ajst-30181	42	32	tasks	task	NOUN
ajst-30181	42	33	.	.	PUNCT
ajst-30181	43	1	2	2	X
ajst-30181	43	2	.	.	X
ajst-30181	43	3	method	method	PROPN
ajst-30181	43	4	2.1	2.1	NUM
ajst-30181	43	5	.	.	PUNCT
ajst-30181	44	1	architecture	architecture	NOUN
ajst-30181	44	2	overview	overview	NOUN
ajst-30181	44	3	this	this	DET
ajst-30181	44	4	paper	paper	NOUN
ajst-30181	44	5	proposes	propose	VERB
ajst-30181	44	6	an	an	DET
ajst-30181	44	7	efficient	efficient	ADJ
ajst-30181	44	8	3d	3d	PROPN
ajst-30181	44	9	medical	medical	ADJ
ajst-30181	44	10	image	image	NOUN
ajst-30181	44	11	segmentation	segmentation	NOUN
ajst-30181	44	12	network	network	NOUN
ajst-30181	44	13	,	,	PUNCT
ajst-30181	44	14	mambaformer3d	mambaformer3d	PROPN
ajst-30181	44	15	,	,	PUNCT
ajst-30181	44	16	whose	whose	DET
ajst-30181	44	17	overall	overall	ADJ
ajst-30181	44	18	architecture	architecture	NOUN
ajst-30181	44	19	is	be	AUX
ajst-30181	44	20	illustrated	illustrate	VERB
ajst-30181	44	21	in	in	ADP
ajst-30181	44	22	figure	figure	NOUN
ajst-30181	44	23	1	1	NUM
ajst-30181	44	24	.	.	PUNCT
ajst-30181	45	1	the	the	DET
ajst-30181	45	2	network	network	NOUN
ajst-30181	45	3	is	be	AUX
ajst-30181	45	4	designed	design	VERB
ajst-30181	45	5	based	base	VERB
ajst-30181	45	6	on	on	ADP
ajst-30181	45	7	the	the	DET
ajst-30181	45	8	multi	multi	ADJ
ajst-30181	45	9	-	-	ADJ
ajst-30181	45	10	scale	scale	ADJ
ajst-30181	45	11	adaptive	adaptive	ADJ
ajst-30181	45	12	lightweight	lightweight	ADJ
ajst-30181	45	13	representation	representation	NOUN
ajst-30181	45	14	(	(	PUNCT
ajst-30181	45	15	malr	malr	PROPN
ajst-30181	45	16	)	)	PUNCT
ajst-30181	45	17	unit	unit	NOUN
ajst-30181	45	18	and	and	CCONJ
ajst-30181	45	19	linear	linear	PROPN
ajst-30181	45	20	mamba	mamba	PROPN
ajst-30181	45	21	attention	attention	NOUN
ajst-30181	45	22	(	(	PUNCT
ajst-30181	45	23	lma	lma	PROPN
ajst-30181	45	24	)	)	PUNCT
ajst-30181	45	25	,	,	PUNCT
ajst-30181	45	26	aiming	aim	VERB
ajst-30181	45	27	to	to	PART
ajst-30181	45	28	reduce	reduce	VERB
ajst-30181	45	29	computational	computational	ADJ
ajst-30181	45	30	complexity	complexity	NOUN
ajst-30181	45	31	while	while	SCONJ
ajst-30181	45	32	improving	improve	VERB
ajst-30181	45	33	the	the	DET
ajst-30181	45	34	segmentation	segmentation	NOUN
ajst-30181	45	35	accuracy	accuracy	NOUN
ajst-30181	45	36	of	of	ADP
ajst-30181	45	37	3d	3d	PROPN
ajst-30181	45	38	medical	medical	ADJ
ajst-30181	45	39	images	image	NOUN
ajst-30181	45	40	.	.	PUNCT
ajst-30181	46	1	in	in	ADP
ajst-30181	46	2	the	the	DET
ajst-30181	46	3	encoder	encoder	NOUN
ajst-30181	46	4	path	path	NOUN
ajst-30181	46	5	,	,	PUNCT
ajst-30181	46	6	multi	multi	ADJ
ajst-30181	46	7	-	-	ADJ
ajst-30181	46	8	modal	modal	ADJ
ajst-30181	46	9	mri	mri	NOUN
ajst-30181	46	10	inputs	input	NOUN
ajst-30181	46	11	are	be	AUX
ajst-30181	46	12	first	first	ADV
ajst-30181	46	13	converted	convert	VERB
ajst-30181	46	14	into	into	ADP
ajst-30181	46	15	3d	3d	PROPN
ajst-30181	46	16	patches	patch	NOUN
ajst-30181	46	17	via	via	ADP
ajst-30181	46	18	patch	patch	NOUN
ajst-30181	46	19	embedding	embed	VERB
ajst-30181	46	20	.	.	PUNCT
ajst-30181	47	1	subsequently	subsequently	ADV
ajst-30181	47	2	,	,	PUNCT
ajst-30181	47	3	the	the	DET
ajst-30181	47	4	malr	malr	PROPN
ajst-30181	47	5	unit	unit	NOUN
ajst-30181	47	6	integrates	integrate	VERB
ajst-30181	47	7	the	the	DET
ajst-30181	47	8	strengths	strength	NOUN
ajst-30181	47	9	of	of	ADP
ajst-30181	47	10	mamba	mamba	NOUN
ajst-30181	47	11	and	and	CCONJ
ajst-30181	47	12	transformer	transformer	NOUN
ajst-30181	47	13	architectures	architecture	NOUN
ajst-30181	47	14	.	.	PUNCT
ajst-30181	48	1	within	within	ADP
ajst-30181	48	2	malr	malr	PROPN
ajst-30181	48	3	,	,	PUNCT
ajst-30181	48	4	the	the	DET
ajst-30181	48	5	traditional	traditional	ADJ
ajst-30181	48	6	self	self	NOUN
ajst-30181	48	7	-	-	PUNCT
ajst-30181	48	8	attention	attention	NOUN
ajst-30181	48	9	mechanism	mechanism	NOUN
ajst-30181	48	10	is	be	AUX
ajst-30181	48	11	replaced	replace	VERB
ajst-30181	48	12	by	by	ADP
ajst-30181	48	13	the	the	DET
ajst-30181	48	14	lma	lma	PROPN
ajst-30181	48	15	module	module	NOUN
ajst-30181	48	16	to	to	PART
ajst-30181	48	17	reduce	reduce	VERB
ajst-30181	48	18	computational	computational	ADJ
ajst-30181	48	19	complexity	complexity	NOUN
ajst-30181	48	20	while	while	SCONJ
ajst-30181	48	21	maintaining	maintain	VERB
ajst-30181	48	22	efficient	efficient	ADJ
ajst-30181	48	23	global	global	ADJ
ajst-30181	48	24	information	information	NOUN
ajst-30181	48	25	capture	capture	VERB
ajst-30181	48	26	capabilities	capability	NOUN
ajst-30181	48	27	.	.	PUNCT
ajst-30181	49	1	after	after	ADP
ajst-30181	49	2	multiple	multiple	ADJ
ajst-30181	49	3	downsampling	downsample	VERB
ajst-30181	49	4	operations	operation	NOUN
ajst-30181	49	5	,	,	PUNCT
ajst-30181	49	6	the	the	DET
ajst-30181	49	7	feature	feature	NOUN
ajst-30181	49	8	map	map	NOUN
ajst-30181	49	9	size	size	NOUN
ajst-30181	49	10	gradually	gradually	ADV
ajst-30181	49	11	decreases	decrease	VERB
ajst-30181	49	12	,	,	PUNCT
ajst-30181	49	13	and	and	CCONJ
ajst-30181	49	14	the	the	DET
ajst-30181	49	15	channel	channel	NOUN
ajst-30181	49	16	dimension	dimension	NOUN
ajst-30181	49	17	increases	increase	NOUN
ajst-30181	49	18	to	to	PART
ajst-30181	49	19	extract	extract	VERB
ajst-30181	49	20	richer	rich	ADJ
ajst-30181	49	21	semantic	semantic	ADJ
ajst-30181	49	22	information	information	NOUN
ajst-30181	49	23	.	.	PUNCT
ajst-30181	50	1	skip	skip	ADJ
ajst-30181	50	2	connections	connection	NOUN
ajst-30181	50	3	employ	employ	VERB
ajst-30181	50	4	a	a	DET
ajst-30181	50	5	layer	layer	NOUN
ajst-30181	50	6	-	-	PUNCT
ajst-30181	50	7	wise	wise	ADJ
ajst-30181	50	8	feature	feature	NOUN
ajst-30181	50	9	fusion	fusion	NOUN
ajst-30181	50	10	strategy	strategy	NOUN
ajst-30181	50	11	to	to	PART
ajst-30181	50	12	preserve	preserve	VERB
ajst-30181	50	13	low	low	ADJ
ajst-30181	50	14	-	-	PUNCT
ajst-30181	50	15	level	level	NOUN
ajst-30181	50	16	spatial	spatial	ADJ
ajst-30181	50	17	details	detail	NOUN
ajst-30181	50	18	and	and	CCONJ
ajst-30181	50	19	combine	combine	VERB
ajst-30181	50	20	them	they	PRON
ajst-30181	50	21	with	with	ADP
ajst-30181	50	22	high	high	ADJ
ajst-30181	50	23	-	-	PUNCT
ajst-30181	50	24	level	level	NOUN
ajst-30181	50	25	semantic	semantic	ADJ
ajst-30181	50	26	information	information	NOUN
ajst-30181	50	27	,	,	PUNCT
ajst-30181	50	28	thereby	thereby	ADV
ajst-30181	50	29	enhancing	enhance	VERB
ajst-30181	50	30	feature	feature	NOUN
ajst-30181	50	31	representation	representation	NOUN
ajst-30181	50	32	.	.	PUNCT
ajst-30181	51	1	in	in	ADP
ajst-30181	51	2	the	the	DET
ajst-30181	51	3	decoder	decoder	NOUN
ajst-30181	51	4	path	path	NOUN
ajst-30181	51	5	,	,	PUNCT
ajst-30181	51	6	feature	feature	NOUN
ajst-30181	51	7	recovery	recovery	NOUN
ajst-30181	51	8	is	be	AUX
ajst-30181	51	9	achieved	achieve	VERB
ajst-30181	51	10	through	through	ADP
ajst-30181	51	11	a	a	DET
ajst-30181	51	12	combination	combination	NOUN
ajst-30181	51	13	of	of	ADP
ajst-30181	51	14	transposed	transpose	VERB
ajst-30181	51	15	convolution	convolution	NOUN
ajst-30181	51	16	and	and	CCONJ
ajst-30181	51	17	malr	malr	PROPN
ajst-30181	51	18	units	unit	NOUN
ajst-30181	51	19	.	.	PUNCT
ajst-30181	52	1	the	the	DET
ajst-30181	52	2	upsampled	upsample	VERB
ajst-30181	52	3	features	feature	NOUN
ajst-30181	52	4	are	be	AUX
ajst-30181	52	5	concatenated	concatenate	VERB
ajst-30181	52	6	with	with	ADP
ajst-30181	52	7	skip	skip	ADJ
ajst-30181	52	8	connection	connection	NOUN
ajst-30181	52	9	features	feature	VERB
ajst-30181	52	10	to	to	PART
ajst-30181	52	11	improve	improve	VERB
ajst-30181	52	12	segmentation	segmentation	NOUN
ajst-30181	52	13	precision	precision	NOUN
ajst-30181	52	14	.	.	PUNCT
ajst-30181	53	1	additionally	additionally	ADV
ajst-30181	53	2	,	,	PUNCT
ajst-30181	53	3	residual	residual	ADJ
ajst-30181	53	4	blocks	block	NOUN
ajst-30181	53	5	in	in	ADP
ajst-30181	53	6	the	the	DET
ajst-30181	53	7	skip	skip	ADJ
ajst-30181	53	8	connections	connection	NOUN
ajst-30181	53	9	further	far	ADV
ajst-30181	53	10	optimize	optimize	VERB
ajst-30181	53	11	gradient	gradient	NOUN
ajst-30181	53	12	flow	flow	NOUN
ajst-30181	53	13	,	,	PUNCT
ajst-30181	53	14	enhancing	enhance	VERB
ajst-30181	53	15	network	network	NOUN
ajst-30181	53	16	stability	stability	NOUN
ajst-30181	53	17	and	and	CCONJ
ajst-30181	53	18	convergence	convergence	NOUN
ajst-30181	53	19	speed	speed	NOUN
ajst-30181	53	20	.	.	PUNCT
ajst-30181	54	1	input	input	NOUN
ajst-30181	54	2	segmentation	segmentation	NOUN
ajst-30181	54	3	output	output	NOUN
ajst-30181	54	4	h	h	NOUN
ajst-30181	54	5	×	×	PROPN
ajst-30181	54	6	w	w	PROPN
ajst-30181	54	7	×d	×d	NOUN
ajst-30181	54	8	×	×	NOUN
ajst-30181	54	9	4	4	NUM
ajst-30181	54	10	res	re	NOUN
ajst-30181	54	11	-	-	PUNCT
ajst-30181	54	12	block	block	NOUN
ajst-30181	54	13	res	re	NOUN
ajst-30181	54	14	-	-	PUNCT
ajst-30181	54	15	block	block	NOUN
ajst-30181	54	16	malr	malr	PROPN
ajst-30181	54	17	res	re	NOUN
ajst-30181	54	18	-	-	PUNCT
ajst-30181	54	19	block	block	NOUN
ajst-30181	54	20	res	re	NOUN
ajst-30181	54	21	-	-	PUNCT
ajst-30181	54	22	block	block	NOUN
ajst-30181	54	23	res	re	NOUN
ajst-30181	54	24	-	-	PUNCT
ajst-30181	54	25	block	block	NOUN
ajst-30181	54	26	malr	malr	PROPN
ajst-30181	54	27	malr	malr	PROPN
ajst-30181	54	28	h	h	PROPN
ajst-30181	54	29	×	×	PROPN
ajst-30181	54	30	w	w	PROPN
ajst-30181	54	31	×d	×d	NOUN
ajst-30181	54	32	×	×	NOUN
ajst-30181	54	33	4	4	NUM
ajst-30181	54	34	patch	patch	NOUN
ajst-30181	54	35	embedding	embed	VERB
ajst-30181	54	36	downsampling	downsample	VERB
ajst-30181	54	37	block	block	NOUN
ajst-30181	54	38	malr	malr	PROPN
ajst-30181	54	39	malr	malr	PROPN
ajst-30181	54	40	malr	malr	PROPN
ajst-30181	54	41	malr	malr	PROPN
ajst-30181	54	42	downsampling	downsample	VERB
ajst-30181	54	43	block	block	NOUN
ajst-30181	54	44	downsampling	downsample	VERB
ajst-30181	54	45	block	block	NOUN
ajst-30181	54	46	24	24	NUM
ajst-30181	54	47	4	4	NUM
ajst-30181	54	48	4	4	NUM
ajst-30181	54	49	h	h	NOUN
ajst-30181	54	50	w	w	NOUN
ajst-30181	55	1	d	d	PROPN
ajst-30181	55	2	c	c	PROPN
ajst-30181	55	3			NOUN
ajst-30181	55	4			PROPN
ajst-30181	55	5	24	24	NUM
ajst-30181	55	6	4	4	NUM
ajst-30181	55	7	4	4	NUM
ajst-30181	55	8	h	h	NOUN
ajst-30181	55	9	w	w	NOUN
ajst-30181	56	1	d	d	PROPN
ajst-30181	56	2	c	c	PROPN
ajst-30181	56	3			NOUN
ajst-30181	56	4			PROPN
ajst-30181	56	5	38	38	NUM
ajst-30181	56	6	8	8	NUM
ajst-30181	56	7	8	8	NUM
ajst-30181	56	8	h	h	NOUN
ajst-30181	56	9	w	w	NOUN
ajst-30181	57	1	d	d	PROPN
ajst-30181	57	2	c	c	PROPN
ajst-30181	57	3			NOUN
ajst-30181	57	4			PROPN
ajst-30181	57	5	38	38	NUM
ajst-30181	57	6	8	8	NUM
ajst-30181	57	7	8	8	NUM
ajst-30181	57	8	h	h	NOUN
ajst-30181	57	9	w	w	NOUN
ajst-30181	58	1	d	d	PROPN
ajst-30181	58	2	c	c	PROPN
ajst-30181	58	3			NOUN
ajst-30181	58	4			VERB
ajst-30181	58	5	416	416	NUM
ajst-30181	58	6	16	16	NUM
ajst-30181	58	7	16	16	NUM
ajst-30181	58	8	h	h	NOUN
ajst-30181	58	9	w	w	PROPN
ajst-30181	59	1	d	d	PROPN
ajst-30181	59	2	c	c	PROPN
ajst-30181	59	3			NOUN
ajst-30181	59	4			VERB
ajst-30181	59	5	416	416	NUM
ajst-30181	59	6	16	16	NUM
ajst-30181	59	7	16	16	NUM
ajst-30181	59	8	h	h	NOUN
ajst-30181	59	9	w	w	PROPN
ajst-30181	60	1	d	d	PROPN
ajst-30181	60	2	c	c	PROPN
ajst-30181	60	3			NOUN
ajst-30181	60	4			PROPN
ajst-30181	60	5	532	532	NUM
ajst-30181	60	6	32	32	NUM
ajst-30181	60	7	32	32	NUM
ajst-30181	60	8	h	h	NOUN
ajst-30181	60	9	w	w	PROPN
ajst-30181	61	1	d	d	PROPN
ajst-30181	61	2	c	c	PROPN
ajst-30181	61	3			NOUN
ajst-30181	61	4			VERB
ajst-30181	61	5	hidden	hide	VERB
ajst-30181	61	6	feature	feature	NOUN
ajst-30181	61	7	residual	residual	ADJ
ajst-30181	61	8	block	block	NOUN
ajst-30181	61	9	concatenation	concatenation	PROPN
ajst-30181	61	10	transpose	transpose	PROPN
ajst-30181	61	11	conv	conv	ADJ
ajst-30181	61	12	res	re	NOUN
ajst-30181	61	13	-	-	PUNCT
ajst-30181	61	14	block	block	NOUN
ajst-30181	61	15	mlp	mlp	PROPN
ajst-30181	61	16	lma	lma	PROPN
ajst-30181	61	17	ln	ln	PROPN
ajst-30181	62	1	ln	ln	PROPN
ajst-30181	62	2	mamba	mamba	PROPN
ajst-30181	62	3	attention	attention	NOUN
ajst-30181	62	4	layer	layer	NOUN
ajst-30181	62	5	replacement	replacement	NOUN
ajst-30181	62	6	figure	figure	NOUN
ajst-30181	62	7	1	1	NUM
ajst-30181	62	8	.	.	PUNCT
ajst-30181	62	9	overall	overall	ADJ
ajst-30181	62	10	framework	framework	NOUN
ajst-30181	62	11	of	of	ADP
ajst-30181	62	12	mambaformer3d	mambaformer3d	PROPN
ajst-30181	62	13	2.2	2.2	NUM
ajst-30181	62	14	.	.	PUNCT
ajst-30181	63	1	malr	malr	PROPN
ajst-30181	63	2	first	first	ADV
ajst-30181	63	3	,	,	PUNCT
ajst-30181	63	4	for	for	ADP
ajst-30181	63	5	the	the	DET
ajst-30181	63	6	preprocessed	preprocesse	VERB
ajst-30181	63	7	multi	multi	ADJ
ajst-30181	63	8	-	-	ADJ
ajst-30181	63	9	modal	modal	ADJ
ajst-30181	63	10	mri	mri	NOUN
ajst-30181	63	11	data	datum	NOUN
ajst-30181	63	12	of	of	ADP
ajst-30181	63	13	brain	brain	NOUN
ajst-30181	63	14	tumors	tumor	NOUN
ajst-30181	63	15	(	(	PUNCT
ajst-30181	63	16	e.g.	e.g.	ADV
ajst-30181	63	17	,	,	PUNCT
ajst-30181	63	18	brats	brat	NOUN
ajst-30181	63	19	dataset	dataset	ADJ
ajst-30181	63	20	)	)	PUNCT
ajst-30181	63	21	,	,	PUNCT
ajst-30181	63	22	the	the	DET
ajst-30181	63	23	four	four	NUM
ajst-30181	63	24	modalities	modality	NOUN
ajst-30181	63	25	(	(	PUNCT
ajst-30181	63	26	t1	t1	NOUN
ajst-30181	63	27	,	,	PUNCT
ajst-30181	63	28	t1ce	t1ce	NUM
ajst-30181	63	29	,	,	PUNCT
ajst-30181	63	30	t2	t2	NOUN
ajst-30181	63	31	,	,	PUNCT
ajst-30181	63	32	flair	flair	NOUN
ajst-30181	63	33	)	)	PUNCT
ajst-30181	63	34	are	be	AUX
ajst-30181	63	35	concatenated	concatenate	VERB
ajst-30181	63	36	into	into	ADP
ajst-30181	63	37	multi	multi	ADJ
ajst-30181	63	38	-	-	ADJ
ajst-30181	63	39	channel	channel	NOUN
ajst-30181	63	40	images	image	NOUN
ajst-30181	63	41	and	and	CCONJ
ajst-30181	63	42	fed	feed	VERB
ajst-30181	63	43	into	into	ADP
ajst-30181	63	44	the	the	DET
ajst-30181	63	45	patch	patch	NOUN
ajst-30181	63	46	embedding	embed	VERB
ajst-30181	63	47	layer	layer	NOUN
ajst-30181	63	48	.	.	PUNCT
ajst-30181	64	1	the	the	DET
ajst-30181	64	2	input	input	NOUN
ajst-30181	64	3	image	image	NOUN
ajst-30181	64	4	is	be	AUX
ajst-30181	64	5	represented	represent	VERB
ajst-30181	64	6	as	as	ADP
ajst-30181	64	7	𝑋	𝑋	PROPN
ajst-30181	64	8	∈	∈	PROPN
ajst-30181	64	9	ℝ	ℝ	PROPN
ajst-30181	64	10	,	,	PUNCT
ajst-30181	64	11	where	where	SCONJ
ajst-30181	64	12	h	h	NOUN
ajst-30181	64	13	,	,	PUNCT
ajst-30181	64	14	w	w	NOUN
ajst-30181	64	15	,	,	PUNCT
ajst-30181	64	16	and	and	CCONJ
ajst-30181	64	17	d	d	NOUN
ajst-30181	64	18	denote	denote	VERB
ajst-30181	64	19	the	the	DET
ajst-30181	64	20	height	height	NOUN
ajst-30181	64	21	,	,	PUNCT
ajst-30181	64	22	width	width	ADJ
ajst-30181	64	23	,	,	PUNCT
ajst-30181	64	24	and	and	CCONJ
ajst-30181	64	25	depth	depth	NOUN
ajst-30181	64	26	of	of	ADP
ajst-30181	64	27	the	the	DET
ajst-30181	64	28	input	input	NOUN
ajst-30181	64	29	data	datum	NOUN
ajst-30181	64	30	,	,	PUNCT
ajst-30181	64	31	respectively	respectively	ADV
ajst-30181	64	32	.	.	PUNCT
ajst-30181	65	1	following	follow	VERB
ajst-30181	65	2	swin	swin	PROPN
ajst-30181	65	3	transformer	transformer	PROPN
ajst-30181	65	4	,	,	PUNCT
ajst-30181	65	5	the	the	DET
ajst-30181	65	6	input	input	NOUN
ajst-30181	65	7	is	be	AUX
ajst-30181	65	8	divided	divide	VERB
ajst-30181	65	9	into	into	ADP
ajst-30181	65	10	nonoverlapping	nonoverlappe	VERB
ajst-30181	65	11	3d	3d	PROPN
ajst-30181	65	12	patches	patch	NOUN
ajst-30181	65	13	,	,	PUNCT
ajst-30181	65	14	each	each	PRON
ajst-30181	65	15	with	with	ADP
ajst-30181	65	16	a	a	DET
ajst-30181	65	17	resolution	resolution	NOUN
ajst-30181	65	18	of	of	ADP
ajst-30181	65	19	4×4×4	4×4×4	NUM
ajst-30181	65	20	.	.	PUNCT
ajst-30181	66	1	this	this	DET
ajst-30181	66	2	division	division	NOUN
ajst-30181	66	3	yields	yield	VERB
ajst-30181	66	4	a	a	DET
ajst-30181	66	5	sequence	sequence	NOUN
ajst-30181	66	6	length	length	NOUN
ajst-30181	66	7	of	of	ADP
ajst-30181	66	8	𝑁	𝑁	PROPN
ajst-30181	66	9	𝐻/4	𝐻/4	NOUN
ajst-30181	66	10	𝑊/4	𝑊/4	NOUN
ajst-30181	66	11	𝐷/4	𝐷/4	PROPN
ajst-30181	66	12	.	.	PUNCT
ajst-30181	67	1	after	after	ADP
ajst-30181	67	2	projection	projection	NOUN
ajst-30181	67	3	to	to	ADP
ajst-30181	67	4	the	the	DET
ajst-30181	67	5	c	c	ADV
ajst-30181	67	6	-	-	PUNCT
ajst-30181	67	7	dimensional	dimensional	ADJ
ajst-30181	67	8	channel	channel	NOUN
ajst-30181	67	9	space	space	NOUN
ajst-30181	67	10	,	,	PUNCT
ajst-30181	67	11	the	the	DET
ajst-30181	67	12	resulting	result	VERB
ajst-30181	67	13	feature	feature	NOUN
ajst-30181	67	14	map	map	NOUN
ajst-30181	67	15	has	have	VERB
ajst-30181	67	16	a	a	DET
ajst-30181	67	17	size	size	NOUN
ajst-30181	67	18	of	of	ADP
ajst-30181	67	19	𝐻/4	𝐻/4	PROPN
ajst-30181	67	20	𝑊/4	𝑊/4	ADP
ajst-30181	67	21	𝐷/4	𝐷/4	PROPN
ajst-30181	67	22	𝐶.	𝐶.	PROPN
ajst-30181	67	23	as	as	SCONJ
ajst-30181	67	24	illustrated	illustrate	VERB
ajst-30181	67	25	in	in	ADP
ajst-30181	67	26	figure	figure	NOUN
ajst-30181	67	27	2	2	NUM
ajst-30181	67	28	,	,	PUNCT
ajst-30181	67	29	the	the	DET
ajst-30181	67	30	malr	malr	PROPN
ajst-30181	67	31	module	module	NOUN
ajst-30181	67	32	takes	take	VERB
ajst-30181	67	33	the	the	DET
ajst-30181	67	34	feature	feature	NOUN
ajst-30181	67	35	map	map	NOUN
ajst-30181	67	36	matrix	matrix	NOUN
ajst-30181	67	37	x	x	PUNCT
ajst-30181	67	38	as	as	ADP
ajst-30181	67	39	input	input	NOUN
ajst-30181	67	40	.	.	PUNCT
ajst-30181	68	1	first	first	ADV
ajst-30181	68	2	,	,	PUNCT
ajst-30181	68	3	spatial	spatial	ADJ
ajst-30181	68	4	feature	feature	NOUN
ajst-30181	68	5	extraction	extraction	NOUN
ajst-30181	68	6	is	be	AUX
ajst-30181	68	7	performed	perform	VERB
ajst-30181	68	8	using	use	VERB
ajst-30181	68	9	a	a	DET
ajst-30181	68	10	3×3×3	3×3×3	NUM
ajst-30181	68	11	depthwise	depthwise	NOUN
ajst-30181	68	12	separable	separable	ADJ
ajst-30181	68	13	convolution	convolution	NOUN
ajst-30181	68	14	,	,	PUNCT
ajst-30181	68	15	which	which	PRON
ajst-30181	68	16	decomposes	decompose	VERB
ajst-30181	68	17	standard	standard	ADJ
ajst-30181	68	18	convolution	convolution	NOUN
ajst-30181	68	19	into	into	ADP
ajst-30181	68	20	depthwise	depthwise	NOUN
ajst-30181	68	21	and	and	CCONJ
ajst-30181	68	22	pointwise	pointwise	PROPN
ajst-30181	68	23	convolutions	convolution	NOUN
ajst-30181	68	24	.	.	PUNCT
ajst-30181	69	1	this	this	PRON
ajst-30181	69	2	maintains	maintain	VERB
ajst-30181	69	3	the	the	DET
ajst-30181	69	4	3×3×3	3×3×3	NUM
ajst-30181	69	5	local	local	ADJ
ajst-30181	69	6	receptive	receptive	ADJ
ajst-30181	69	7	field	field	NOUN
ajst-30181	69	8	while	while	SCONJ
ajst-30181	69	9	significantly	significantly	ADV
ajst-30181	69	10	reducing	reduce	VERB
ajst-30181	69	11	parameter	parameter	NOUN
ajst-30181	69	12	count	count	NOUN
ajst-30181	69	13	and	and	CCONJ
ajst-30181	69	14	computational	computational	ADJ
ajst-30181	69	15	costs	cost	NOUN
ajst-30181	69	16	.	.	PUNCT
ajst-30181	70	1	subsequently	subsequently	ADV
ajst-30181	70	2	,	,	PUNCT
ajst-30181	70	3	layer	layer	NOUN
ajst-30181	70	4	normalization	normalization	NOUN
ajst-30181	70	5	(	(	PUNCT
ajst-30181	70	6	ln	ln	X
ajst-30181	70	7	)	)	PUNCT
ajst-30181	70	8	is	be	AUX
ajst-30181	70	9	applied	apply	VERB
ajst-30181	70	10	to	to	PART
ajst-30181	70	11	standardize	standardize	VERB
ajst-30181	70	12	feature	feature	NOUN
ajst-30181	70	13	distributions	distribution	NOUN
ajst-30181	70	14	by	by	ADP
ajst-30181	70	15	normalizing	normalize	VERB
ajst-30181	70	16	feature	feature	NOUN
ajst-30181	70	17	statistics	statistic	NOUN
ajst-30181	70	18	along	along	ADP
ajst-30181	70	19	the	the	DET
ajst-30181	70	20	channel	channel	NOUN
ajst-30181	70	21	dimension	dimension	NOUN
ajst-30181	70	22	,	,	PUNCT
ajst-30181	70	23	effectively	effectively	ADV
ajst-30181	70	24	mitigating	mitigate	VERB
ajst-30181	70	25	internal	internal	ADJ
ajst-30181	70	26	covariate	covariate	ADJ
ajst-30181	70	27	shift	shift	NOUN
ajst-30181	70	28	and	and	CCONJ
ajst-30181	70	29	improving	improve	VERB
ajst-30181	70	30	training	training	NOUN
ajst-30181	70	31	stability	stability	NOUN
ajst-30181	70	32	.	.	PUNCT
ajst-30181	71	1	71	71	NUM
ajst-30181	71	2	figure	figure	NOUN
ajst-30181	71	3	2	2	NUM
ajst-30181	71	4	.	.	PUNCT
ajst-30181	71	5	malr	malr	PROPN
ajst-30181	71	6	structure	structure	NOUN
ajst-30181	71	7	on	on	ADP
ajst-30181	71	8	the	the	DET
ajst-30181	71	9	normalized	normalize	VERB
ajst-30181	71	10	features	feature	NOUN
ajst-30181	71	11	,	,	PUNCT
ajst-30181	71	12	a	a	DET
ajst-30181	71	13	two	two	NUM
ajst-30181	71	14	-	-	PUNCT
ajst-30181	71	15	stage	stage	NOUN
ajst-30181	71	16	multilayer	multilayer	NOUN
ajst-30181	71	17	perceptron	perceptron	PROPN
ajst-30181	71	18	(	(	PUNCT
ajst-30181	71	19	mlp	mlp	NOUN
ajst-30181	71	20	)	)	PUNCT
ajst-30181	71	21	is	be	AUX
ajst-30181	71	22	employed	employ	VERB
ajst-30181	71	23	for	for	ADP
ajst-30181	71	24	cross	cross	ADJ
ajst-30181	71	25	-	-	ADJ
ajst-30181	71	26	channel	channel	ADJ
ajst-30181	71	27	information	information	NOUN
ajst-30181	71	28	fusion	fusion	NOUN
ajst-30181	71	29	.	.	PUNCT
ajst-30181	72	1	the	the	DET
ajst-30181	72	2	first	first	ADJ
ajst-30181	72	3	fully	fully	ADV
ajst-30181	72	4	connected	connect	VERB
ajst-30181	72	5	(	(	PUNCT
ajst-30181	72	6	fc	fc	INTJ
ajst-30181	72	7	)	)	PUNCT
ajst-30181	72	8	layer	layer	NOUN
ajst-30181	72	9	expands	expand	VERB
ajst-30181	72	10	the	the	DET
ajst-30181	72	11	channel	channel	NOUN
ajst-30181	72	12	dimension	dimension	NOUN
ajst-30181	72	13	by	by	ADP
ajst-30181	72	14	a	a	DET
ajst-30181	72	15	factor	factor	NOUN
ajst-30181	72	16	of	of	ADP
ajst-30181	72	17	4	4	NUM
ajst-30181	72	18	,	,	PUNCT
ajst-30181	72	19	followed	follow	VERB
ajst-30181	72	20	by	by	ADP
ajst-30181	72	21	a	a	DET
ajst-30181	72	22	gelu	gelu	ADJ
ajst-30181	72	23	activation	activation	NOUN
ajst-30181	72	24	function	function	NOUN
ajst-30181	72	25	.	.	PUNCT
ajst-30181	73	1	the	the	DET
ajst-30181	73	2	second	second	ADJ
ajst-30181	73	3	fc	fc	PROPN
ajst-30181	73	4	layer	layer	NOUN
ajst-30181	73	5	compresses	compress	VERB
ajst-30181	73	6	the	the	DET
ajst-30181	73	7	channel	channel	NOUN
ajst-30181	73	8	dimension	dimension	NOUN
ajst-30181	73	9	back	back	ADV
ajst-30181	73	10	to	to	ADP
ajst-30181	73	11	its	its	PRON
ajst-30181	73	12	original	original	ADJ
ajst-30181	73	13	size	size	NOUN
ajst-30181	73	14	.	.	PUNCT
ajst-30181	74	1	this	this	DET
ajst-30181	74	2	"	"	PUNCT
ajst-30181	74	3	expansioncompression	expansioncompression	NOUN
ajst-30181	74	4	"	"	PUNCT
ajst-30181	74	5	structure	structure	NOUN
ajst-30181	74	6	enhances	enhance	VERB
ajst-30181	74	7	the	the	DET
ajst-30181	74	8	model	model	NOUN
ajst-30181	74	9	’s	’s	PART
ajst-30181	74	10	capability	capability	NOUN
ajst-30181	74	11	to	to	PART
ajst-30181	74	12	represent	represent	VERB
ajst-30181	74	13	complex	complex	ADJ
ajst-30181	74	14	patterns	pattern	NOUN
ajst-30181	74	15	.	.	PUNCT
ajst-30181	75	1	notably	notably	ADV
ajst-30181	75	2	,	,	PUNCT
ajst-30181	75	3	the	the	DET
ajst-30181	75	4	module	module	NOUN
ajst-30181	75	5	innovatively	innovatively	ADV
ajst-30181	75	6	introduces	introduce	VERB
ajst-30181	75	7	linear	linear	PROPN
ajst-30181	75	8	mamba	mamba	PROPN
ajst-30181	75	9	attention	attention	NOUN
ajst-30181	75	10	(	(	PUNCT
ajst-30181	75	11	lma	lma	PROPN
ajst-30181	75	12	)	)	PUNCT
ajst-30181	75	13	as	as	ADP
ajst-30181	75	14	a	a	DET
ajst-30181	75	15	global	global	ADJ
ajst-30181	75	16	context	context	NOUN
ajst-30181	75	17	modeling	modeling	NOUN
ajst-30181	75	18	unit	unit	NOUN
ajst-30181	75	19	.	.	PUNCT
ajst-30181	76	1	rooted	root	VERB
ajst-30181	76	2	in	in	ADP
ajst-30181	76	3	state	state	NOUN
ajst-30181	76	4	space	space	NOUN
ajst-30181	76	5	model	model	NOUN
ajst-30181	76	6	theory	theory	NOUN
ajst-30181	76	7	,	,	PUNCT
ajst-30181	76	8	lma	lma	PROPN
ajst-30181	76	9	achieves	achieve	VERB
ajst-30181	76	10	long	long	ADJ
ajst-30181	76	11	-	-	PUNCT
ajst-30181	76	12	range	range	NOUN
ajst-30181	76	13	dependency	dependency	NOUN
ajst-30181	76	14	modeling	modeling	NOUN
ajst-30181	76	15	with	with	ADP
ajst-30181	76	16	linear	linear	ADJ
ajst-30181	76	17	time	time	NOUN
ajst-30181	76	18	complexity	complexity	PROPN
ajst-30181	76	19	o(n	o(n	PROPN
ajst-30181	76	20	)	)	PUNCT
ajst-30181	76	21	,	,	PUNCT
ajst-30181	76	22	drastically	drastically	ADV
ajst-30181	76	23	reducing	reduce	VERB
ajst-30181	76	24	computational	computational	ADJ
ajst-30181	76	25	overhead	overhead	NOUN
ajst-30181	76	26	compared	compare	VERB
ajst-30181	76	27	to	to	ADP
ajst-30181	76	28	traditional	traditional	ADJ
ajst-30181	76	29	self	self	NOUN
ajst-30181	76	30	-	-	PUNCT
ajst-30181	76	31	attention	attention	NOUN
ajst-30181	76	32	mechanisms	mechanism	NOUN
ajst-30181	76	33	.	.	PUNCT
ajst-30181	77	1	the	the	DET
ajst-30181	77	2	computational	computational	ADJ
ajst-30181	77	3	formulation	formulation	NOUN
ajst-30181	77	4	of	of	ADP
ajst-30181	77	5	malr	malr	PROPN
ajst-30181	77	6	is	be	AUX
ajst-30181	77	7	as	as	SCONJ
ajst-30181	77	8	follows	follow	VERB
ajst-30181	77	9	:	:	PUNCT
ajst-30181	77	10	𝑌	𝑌	PROPN
ajst-30181	77	11	d𝑊𝐶𝑜𝑛𝑣	d𝑊𝐶𝑜𝑛𝑣	PROPN
ajst-30181	77	12	𝑋	𝑋	PROPN
ajst-30181	77	13	𝑋	𝑋	PROPN
ajst-30181	77	14	(	(	PUNCT
ajst-30181	77	15	1	1	NUM
ajst-30181	77	16	)	)	PUNCT
ajst-30181	77	17	𝑍	𝑍	PROPN
ajst-30181	77	18	𝐿𝑀𝐴	𝐿𝑀𝐴	PROPN
ajst-30181	77	19	𝐿𝑁	𝐿𝑁	PROPN
ajst-30181	77	20	𝑌	𝑌	PROPN
ajst-30181	77	21	𝑌	𝑌	PROPN
ajst-30181	77	22	(	(	PUNCT
ajst-30181	77	23	2	2	X
ajst-30181	77	24	)	)	PUNCT
ajst-30181	77	25	𝑊	𝑊	NOUN
ajst-30181	77	26	𝑀𝐿𝑃	𝑀𝐿𝑃	PROPN
ajst-30181	77	27	𝐿𝑁	𝐿𝑁	PROPN
ajst-30181	77	28	𝑍	𝑍	PROPN
ajst-30181	77	29	z	z	NOUN
ajst-30181	77	30	(	(	PUNCT
ajst-30181	77	31	3	3	NUM
ajst-30181	77	32	)	)	PUNCT
ajst-30181	77	33	2.3	2.3	NUM
ajst-30181	77	34	.	.	PUNCT
ajst-30181	78	1	lma	lma	PROPN
ajst-30181	78	2	as	as	SCONJ
ajst-30181	78	3	shown	show	VERB
ajst-30181	78	4	in	in	ADP
ajst-30181	78	5	figure	figure	NOUN
ajst-30181	78	6	3	3	NUM
ajst-30181	78	7	,	,	PUNCT
ajst-30181	78	8	lma	lma	PROPN
ajst-30181	78	9	is	be	AUX
ajst-30181	78	10	a	a	DET
ajst-30181	78	11	module	module	NOUN
ajst-30181	78	12	based	base	VERB
ajst-30181	78	13	on	on	ADP
ajst-30181	78	14	the	the	DET
ajst-30181	78	15	linear	linear	ADJ
ajst-30181	78	16	mamba	mamba	NOUN
ajst-30181	78	17	attention	attention	NOUN
ajst-30181	78	18	mechanism	mechanism	NOUN
ajst-30181	78	19	.	.	PUNCT
ajst-30181	79	1	the	the	DET
ajst-30181	79	2	module	module	NOUN
ajst-30181	79	3	makes	make	VERB
ajst-30181	79	4	use	use	NOUN
ajst-30181	79	5	of	of	ADP
ajst-30181	79	6	mamba	mamba	NOUN
ajst-30181	79	7	's	's	PART
ajst-30181	79	8	selective	selective	ADJ
ajst-30181	79	9	state	state	NOUN
ajst-30181	79	10	-	-	PUNCT
ajst-30181	79	11	space	space	NOUN
ajst-30181	79	12	model	model	NOUN
ajst-30181	79	13	(	(	PUNCT
ajst-30181	79	14	ssm	ssm	PROPN
ajst-30181	79	15	)	)	PUNCT
ajst-30181	79	16	to	to	PART
ajst-30181	79	17	effectively	effectively	ADV
ajst-30181	79	18	overcome	overcome	VERB
ajst-30181	79	19	the	the	DET
ajst-30181	79	20	squared	square	VERB
ajst-30181	79	21	complexity	complexity	NOUN
ajst-30181	79	22	problem	problem	NOUN
ajst-30181	79	23	(	(	PUNCT
ajst-30181	79	24	o(n²	o(n²	ADJ
ajst-30181	79	25	)	)	PUNCT
ajst-30181	79	26	)	)	PUNCT
ajst-30181	79	27	of	of	ADP
ajst-30181	79	28	transformer	transformer	NOUN
ajst-30181	79	29	's	's	PART
ajst-30181	79	30	traditional	traditional	ADJ
ajst-30181	79	31	self	self	NOUN
ajst-30181	79	32	-	-	PUNCT
ajst-30181	79	33	attention	attention	NOUN
ajst-30181	79	34	computation	computation	NOUN
ajst-30181	79	35	,	,	PUNCT
ajst-30181	79	36	while	while	SCONJ
ajst-30181	79	37	maintaining	maintain	VERB
ajst-30181	79	38	the	the	DET
ajst-30181	79	39	capability	capability	NOUN
ajst-30181	79	40	of	of	ADP
ajst-30181	79	41	long	long	ADJ
ajst-30181	79	42	-	-	PUNCT
ajst-30181	79	43	range	range	NOUN
ajst-30181	79	44	dependency	dependency	NOUN
ajst-30181	79	45	modelling	modelling	NOUN
ajst-30181	79	46	.	.	PUNCT
ajst-30181	80	1	this	this	PRON
ajst-30181	80	2	makes	make	VERB
ajst-30181	80	3	lma	lma	ADJ
ajst-30181	80	4	more	more	ADV
ajst-30181	80	5	efficient	efficient	ADJ
ajst-30181	80	6	in	in	ADP
ajst-30181	80	7	processing	process	VERB
ajst-30181	80	8	large	large	ADJ
ajst-30181	80	9	-	-	PUNCT
ajst-30181	80	10	scale	scale	NOUN
ajst-30181	80	11	3d	3d	PROPN
ajst-30181	80	12	medical	medical	ADJ
ajst-30181	80	13	image	image	NOUN
ajst-30181	80	14	data	datum	NOUN
ajst-30181	80	15	,	,	PUNCT
ajst-30181	80	16	ensuring	ensure	VERB
ajst-30181	80	17	accurate	accurate	ADJ
ajst-30181	80	18	feature	feature	NOUN
ajst-30181	80	19	extraction	extraction	NOUN
ajst-30181	80	20	while	while	SCONJ
ajst-30181	80	21	reducing	reduce	VERB
ajst-30181	80	22	computational	computational	ADJ
ajst-30181	80	23	cost	cost	NOUN
ajst-30181	80	24	.	.	PUNCT
ajst-30181	81	1	in	in	ADP
ajst-30181	81	2	the	the	DET
ajst-30181	81	3	lma	lma	PROPN
ajst-30181	81	4	structure	structure	NOUN
ajst-30181	81	5	,	,	PUNCT
ajst-30181	81	6	the	the	DET
ajst-30181	81	7	input	input	NOUN
ajst-30181	81	8	feature	feature	VERB
ajst-30181	81	9	𝑋	𝑋	PROPN
ajst-30181	81	10	∈	∈	PROPN
ajst-30181	81	11	ℝ	ℝ	PROPN
ajst-30181	81	12	is	be	AUX
ajst-30181	81	13	first	first	ADV
ajst-30181	81	14	mapped	map	VERB
ajst-30181	81	15	into	into	ADP
ajst-30181	81	16	a	a	DET
ajst-30181	81	17	query	query	NOUN
ajst-30181	81	18	q	q	NOUN
ajst-30181	81	19	,	,	PUNCT
ajst-30181	81	20	a	a	DET
ajst-30181	81	21	key	key	ADJ
ajst-30181	81	22	k	k	NOUN
ajst-30181	81	23	,	,	PUNCT
ajst-30181	81	24	and	and	CCONJ
ajst-30181	81	25	a	a	DET
ajst-30181	81	26	value	value	NOUN
ajst-30181	81	27	v	v	NOUN
ajst-30181	81	28	(	(	PUNCT
ajst-30181	81	29	𝑄	𝑄	PROPN
ajst-30181	81	30	,	,	PUNCT
ajst-30181	81	31	𝐾	𝐾	PROPN
ajst-30181	81	32	,	,	PUNCT
ajst-30181	81	33	𝑉	𝑉	PROPN
ajst-30181	81	34	∈	∈	PROPN
ajst-30181	81	35	ℝ	ℝ	PROPN
ajst-30181	81	36	)	)	PUNCT
ajst-30181	81	37	through	through	ADP
ajst-30181	81	38	a	a	DET
ajst-30181	81	39	linear	linear	ADJ
ajst-30181	81	40	layer	layer	NOUN
ajst-30181	81	41	.	.	PUNCT
ajst-30181	82	1	as	as	SCONJ
ajst-30181	82	2	shown	show	VERB
ajst-30181	82	3	in	in	ADP
ajst-30181	82	4	eq	eq	ADP
ajst-30181	82	5	.	.	PUNCT
ajst-30181	83	1	(	(	PUNCT
ajst-30181	83	2	4	4	NUM
ajst-30181	83	3	)	)	PUNCT
ajst-30181	83	4	,	,	PUNCT
ajst-30181	83	5	the	the	DET
ajst-30181	83	6	key	key	ADJ
ajst-30181	83	7	𝐾	𝐾	PROPN
ajst-30181	83	8	is	be	AUX
ajst-30181	83	9	compressed	compress	VERB
ajst-30181	83	10	to	to	ADP
ajst-30181	83	11	a	a	DET
ajst-30181	83	12	low	low	ADJ
ajst-30181	83	13	-	-	PUNCT
ajst-30181	83	14	dimensional	dimensional	ADJ
ajst-30181	83	15	representation	representation	NOUN
ajst-30181	83	16	by	by	ADP
ajst-30181	83	17	global	global	ADJ
ajst-30181	83	18	pooling	pooling	NOUN
ajst-30181	83	19	operation	operation	NOUN
ajst-30181	83	20	to	to	PART
ajst-30181	83	21	reduce	reduce	VERB
ajst-30181	83	22	the	the	DET
ajst-30181	83	23	computational	computational	ADJ
ajst-30181	83	24	complexity	complexity	NOUN
ajst-30181	83	25	:	:	PUNCT
ajst-30181	84	1	𝐾	𝐾	PROPN
ajst-30181	84	2	𝐺𝑙𝑜𝑏𝑎𝑙	𝐺𝑙𝑜𝑏𝑎𝑙	PROPN
ajst-30181	84	3	𝑃𝑜𝑜𝑙𝑖𝑛𝑔	𝑃𝑜𝑜𝑙𝑖𝑛𝑔	PROPN
ajst-30181	84	4	𝐾	𝐾	PROPN
ajst-30181	84	5	(	(	PUNCT
ajst-30181	84	6	4	4	NUM
ajst-30181	84	7	)	)	PUNCT
ajst-30181	84	8	this	this	DET
ajst-30181	84	9	operation	operation	NOUN
ajst-30181	84	10	effectively	effectively	ADV
ajst-30181	84	11	reduces	reduce	VERB
ajst-30181	84	12	computational	computational	ADJ
ajst-30181	84	13	demands	demand	NOUN
ajst-30181	84	14	,	,	PUNCT
ajst-30181	84	15	making	make	VERB
ajst-30181	84	16	attention	attention	NOUN
ajst-30181	84	17	calculation	calculation	NOUN
ajst-30181	84	18	more	more	ADV
ajst-30181	84	19	efficient	efficient	ADJ
ajst-30181	84	20	.	.	PUNCT
ajst-30181	85	1	the	the	DET
ajst-30181	85	2	attention	attention	NOUN
ajst-30181	85	3	computation	computation	NOUN
ajst-30181	85	4	is	be	AUX
ajst-30181	85	5	formulated	formulate	VERB
ajst-30181	85	6	as	as	SCONJ
ajst-30181	85	7	follows	follow	VERB
ajst-30181	85	8	(	(	PUNCT
ajst-30181	85	9	equation	equation	NOUN
ajst-30181	85	10	5	5	NUM
ajst-30181	85	11	):	):	PUNCT
ajst-30181	85	12	𝐴𝑡𝑡𝑒𝑛𝑡𝑖𝑜𝑛	𝐴𝑡𝑡𝑒𝑛𝑡𝑖𝑜𝑛	PROPN
ajst-30181	85	13	𝑆𝑜𝑓𝑡𝑚𝑎𝑥	𝑆𝑜𝑓𝑡𝑚𝑎𝑥	PROPN
ajst-30181	85	14	𝑄	𝑄	PROPN
ajst-30181	85	15	𝐾	𝐾	PROPN
ajst-30181	85	16	⊙	⊙	NOUN
ajst-30181	85	17	𝑉𝑆𝑆	𝑉𝑆𝑆	PROPN
ajst-30181	85	18	𝑉	𝑉	PROPN
ajst-30181	85	19	𝑋	𝑋	NOUN
ajst-30181	85	20	(	(	PUNCT
ajst-30181	85	21	5	5	NUM
ajst-30181	85	22	)	)	PUNCT
ajst-30181	85	23	figure	figure	NOUN
ajst-30181	85	24	3	3	NUM
ajst-30181	85	25	.	.	PUNCT
ajst-30181	85	26	lma	lma	PROPN
ajst-30181	85	27	structure	structure	PROPN
ajst-30181	85	28	72	72	NUM
ajst-30181	85	29	where	where	SCONJ
ajst-30181	85	30	⊙	⊙	PROPN
ajst-30181	85	31	denotes	denote	VERB
ajst-30181	85	32	element	element	ADJ
ajst-30181	85	33	-	-	PUNCT
ajst-30181	85	34	wise	wise	ADJ
ajst-30181	85	35	multiplication	multiplication	NOUN
ajst-30181	85	36	.	.	PUNCT
ajst-30181	86	1	the	the	DET
ajst-30181	86	2	softmax	softmax	NOUN
ajst-30181	86	3	function	function	NOUN
ajst-30181	86	4	is	be	AUX
ajst-30181	86	5	applied	apply	VERB
ajst-30181	86	6	to	to	ADP
ajst-30181	86	7	the	the	DET
ajst-30181	86	8	spatial	spatial	ADJ
ajst-30181	86	9	attention	attention	NOUN
ajst-30181	86	10	scores	score	NOUN
ajst-30181	86	11	derived	derive	VERB
ajst-30181	86	12	from	from	ADP
ajst-30181	86	13	𝑄	𝑄	PROPN
ajst-30181	86	14	𝐾	𝐾	PROPN
ajst-30181	86	15	,	,	PUNCT
ajst-30181	86	16	ensuring	ensure	VERB
ajst-30181	86	17	normalized	normalize	VERB
ajst-30181	86	18	positive	positive	ADJ
ajst-30181	86	19	attention	attention	NOUN
ajst-30181	86	20	weights	weight	NOUN
ajst-30181	86	21	that	that	PRON
ajst-30181	86	22	sum	sum	VERB
ajst-30181	86	23	to	to	ADP
ajst-30181	86	24	1	1	NUM
ajst-30181	86	25	at	at	ADP
ajst-30181	86	26	each	each	DET
ajst-30181	86	27	spatial	spatial	ADJ
ajst-30181	86	28	position	position	NOUN
ajst-30181	86	29	.	.	PUNCT
ajst-30181	87	1	the	the	DET
ajst-30181	87	2	vss	vss	NOUN
ajst-30181	87	3	(	(	PUNCT
ajst-30181	87	4	variable	variable	ADJ
ajst-30181	87	5	state	state	NOUN
ajst-30181	87	6	-	-	PUNCT
ajst-30181	87	7	space	space	NOUN
ajst-30181	87	8	)	)	PUNCT
ajst-30181	87	9	operation	operation	NOUN
ajst-30181	87	10	further	far	ADV
ajst-30181	87	11	enhances	enhance	VERB
ajst-30181	87	12	global	global	ADJ
ajst-30181	87	13	feature	feature	NOUN
ajst-30181	87	14	modeling	model	VERB
ajst-30181	87	15	capabilities	capability	NOUN
ajst-30181	87	16	,	,	PUNCT
ajst-30181	87	17	enabling	enable	VERB
ajst-30181	87	18	the	the	DET
ajst-30181	87	19	model	model	NOUN
ajst-30181	87	20	to	to	PART
ajst-30181	87	21	effectively	effectively	ADV
ajst-30181	87	22	learn	learn	VERB
ajst-30181	87	23	long	long	ADJ
ajst-30181	87	24	-	-	PUNCT
ajst-30181	87	25	range	range	NOUN
ajst-30181	87	26	dependencies	dependency	NOUN
ajst-30181	87	27	without	without	ADP
ajst-30181	87	28	increasing	increase	VERB
ajst-30181	87	29	computational	computational	ADJ
ajst-30181	87	30	overhead	overhead	NOUN
ajst-30181	87	31	.	.	PUNCT
ajst-30181	88	1	its	its	PRON
ajst-30181	88	2	architecture	architecture	NOUN
ajst-30181	88	3	is	be	AUX
ajst-30181	88	4	illustrated	illustrate	VERB
ajst-30181	88	5	in	in	ADP
ajst-30181	88	6	figure	figure	NOUN
ajst-30181	88	7	4	4	NUM
ajst-30181	88	8	.	.	PUNCT
ajst-30181	89	1	for	for	ADP
ajst-30181	89	2	vss	vss	NOUN
ajst-30181	89	3	,	,	PUNCT
ajst-30181	89	4	the	the	DET
ajst-30181	89	5	input	input	NOUN
ajst-30181	89	6	with	with	ADP
ajst-30181	89	7	dimensions	dimension	NOUN
ajst-30181	89	8	(	(	PUNCT
ajst-30181	89	9	b	b	NOUN
ajst-30181	89	10	,	,	PUNCT
ajst-30181	89	11	n	n	CCONJ
ajst-30181	89	12	,	,	PUNCT
ajst-30181	89	13	c	c	X
ajst-30181	89	14	)	)	PUNCT
ajst-30181	89	15	is	be	AUX
ajst-30181	89	16	first	first	ADV
ajst-30181	89	17	mapped	map	VERB
ajst-30181	89	18	to	to	ADP
ajst-30181	89	19	a	a	DET
ajst-30181	89	20	new	new	ADJ
ajst-30181	89	21	feature	feature	NOUN
ajst-30181	89	22	dimension	dimension	NOUN
ajst-30181	89	23	space	space	NOUN
ajst-30181	89	24	through	through	ADP
ajst-30181	89	25	a	a	DET
ajst-30181	89	26	linear	linear	ADJ
ajst-30181	89	27	transformation	transformation	NOUN
ajst-30181	89	28	.	.	PUNCT
ajst-30181	90	1	a	a	DET
ajst-30181	90	2	1d	1d	NUM
ajst-30181	90	3	convolution	convolution	NOUN
ajst-30181	90	4	layer	layer	NOUN
ajst-30181	90	5	is	be	AUX
ajst-30181	90	6	then	then	ADV
ajst-30181	90	7	applied	apply	VERB
ajst-30181	90	8	to	to	ADP
ajst-30181	90	9	the	the	DET
ajst-30181	90	10	input	input	NOUN
ajst-30181	90	11	sequence	sequence	NOUN
ajst-30181	90	12	data	datum	NOUN
ajst-30181	90	13	for	for	ADP
ajst-30181	90	14	multiplication	multiplication	NOUN
ajst-30181	90	15	operations	operation	NOUN
ajst-30181	90	16	.	.	PUNCT
ajst-30181	91	1	after	after	ADP
ajst-30181	91	2	obtaining	obtain	VERB
ajst-30181	91	3	intermediate	intermediate	ADJ
ajst-30181	91	4	features	feature	NOUN
ajst-30181	91	5	,	,	PUNCT
ajst-30181	91	6	the	the	DET
ajst-30181	91	7	silu	silu	ADJ
ajst-30181	91	8	activation	activation	NOUN
ajst-30181	91	9	function	function	NOUN
ajst-30181	91	10	is	be	AUX
ajst-30181	91	11	used	use	VERB
ajst-30181	91	12	for	for	ADP
ajst-30181	91	13	further	further	ADJ
ajst-30181	91	14	processing	processing	NOUN
ajst-30181	91	15	.	.	PUNCT
ajst-30181	92	1	the	the	DET
ajst-30181	92	2	ssm	ssm	PROPN
ajst-30181	92	3	part	part	NOUN
ajst-30181	92	4	,	,	PUNCT
ajst-30181	92	5	which	which	PRON
ajst-30181	92	6	is	be	AUX
ajst-30181	92	7	the	the	DET
ajst-30181	92	8	core	core	NOUN
ajst-30181	92	9	of	of	ADP
ajst-30181	92	10	the	the	DET
ajst-30181	92	11	module	module	NOUN
ajst-30181	92	12	,	,	PUNCT
ajst-30181	92	13	processes	process	VERB
ajst-30181	92	14	the	the	DET
ajst-30181	92	15	data	datum	NOUN
ajst-30181	92	16	through	through	ADP
ajst-30181	92	17	a	a	DET
ajst-30181	92	18	selective	selective	ADJ
ajst-30181	92	19	state	state	NOUN
ajst-30181	92	20	space	space	NOUN
ajst-30181	92	21	model	model	NOUN
ajst-30181	92	22	(	(	PUNCT
ajst-30181	92	23	ssm	ssm	PROPN
ajst-30181	92	24	)	)	PUNCT
ajst-30181	92	25	to	to	PART
ajst-30181	92	26	improve	improve	VERB
ajst-30181	92	27	the	the	DET
ajst-30181	92	28	model	model	NOUN
ajst-30181	92	29	's	's	PART
ajst-30181	92	30	efficiency	efficiency	NOUN
ajst-30181	92	31	.	.	PUNCT
ajst-30181	93	1	finally	finally	ADV
ajst-30181	93	2	,	,	PUNCT
ajst-30181	93	3	a	a	DET
ajst-30181	93	4	linear	linear	ADJ
ajst-30181	93	5	layer	layer	NOUN
ajst-30181	93	6	maps	map	VERB
ajst-30181	93	7	the	the	DET
ajst-30181	93	8	features	feature	NOUN
ajst-30181	93	9	to	to	ADP
ajst-30181	93	10	the	the	DET
ajst-30181	93	11	final	final	ADJ
ajst-30181	93	12	output	output	NOUN
ajst-30181	93	13	dimension	dimension	NOUN
ajst-30181	93	14	c.	c.	NOUN
ajst-30181	93	15	by	by	ADP
ajst-30181	93	16	introducing	introduce	VERB
ajst-30181	93	17	the	the	DET
ajst-30181	93	18	selective	selective	ADJ
ajst-30181	93	19	state	state	NOUN
ajst-30181	93	20	space	space	NOUN
ajst-30181	93	21	model	model	NOUN
ajst-30181	93	22	(	(	PUNCT
ajst-30181	93	23	ssm	ssm	PROPN
ajst-30181	93	24	)	)	PUNCT
ajst-30181	93	25	and	and	CCONJ
ajst-30181	93	26	global	global	ADJ
ajst-30181	93	27	pooling	pooling	NOUN
ajst-30181	93	28	,	,	PUNCT
ajst-30181	93	29	lma	lma	PROPN
ajst-30181	93	30	successfully	successfully	ADV
ajst-30181	93	31	reduces	reduce	VERB
ajst-30181	93	32	the	the	DET
ajst-30181	93	33	quadratic	quadratic	ADJ
ajst-30181	93	34	complexity	complexity	NOUN
ajst-30181	93	35	(	(	PUNCT
ajst-30181	93	36	o(n²	o(n²	ADJ
ajst-30181	93	37	)	)	PUNCT
ajst-30181	93	38	)	)	PUNCT
ajst-30181	93	39	of	of	ADP
ajst-30181	93	40	traditional	traditional	ADJ
ajst-30181	93	41	transformers	transformer	NOUN
ajst-30181	93	42	'	'	PART
ajst-30181	93	43	attention	attention	NOUN
ajst-30181	93	44	computation	computation	NOUN
ajst-30181	93	45	to	to	PART
ajst-30181	93	46	linear	linear	VERB
ajst-30181	93	47	complexity	complexity	NOUN
ajst-30181	93	48	(	(	PUNCT
ajst-30181	93	49	o(n	o(n	NOUN
ajst-30181	93	50	)	)	PUNCT
ajst-30181	93	51	)	)	PUNCT
ajst-30181	93	52	.	.	PUNCT
ajst-30181	94	1	this	this	DET
ajst-30181	94	2	improvement	improvement	NOUN
ajst-30181	94	3	significantly	significantly	ADV
ajst-30181	94	4	reduces	reduce	VERB
ajst-30181	94	5	computational	computational	ADJ
ajst-30181	94	6	costs	cost	NOUN
ajst-30181	94	7	and	and	CCONJ
ajst-30181	94	8	memory	memory	NOUN
ajst-30181	94	9	usage	usage	NOUN
ajst-30181	94	10	,	,	PUNCT
ajst-30181	94	11	enabling	enable	VERB
ajst-30181	94	12	lma	lma	PROPN
ajst-30181	94	13	to	to	PART
ajst-30181	94	14	efficiently	efficiently	ADV
ajst-30181	94	15	handle	handle	VERB
ajst-30181	94	16	large	large	ADJ
ajst-30181	94	17	-	-	PUNCT
ajst-30181	94	18	scale	scale	NOUN
ajst-30181	94	19	3d	3d	PROPN
ajst-30181	94	20	medical	medical	ADJ
ajst-30181	94	21	image	image	NOUN
ajst-30181	94	22	data	datum	NOUN
ajst-30181	94	23	while	while	SCONJ
ajst-30181	94	24	retaining	retain	VERB
ajst-30181	94	25	the	the	DET
ajst-30181	94	26	core	core	NOUN
ajst-30181	94	27	advantage	advantage	NOUN
ajst-30181	94	28	of	of	ADP
ajst-30181	94	29	transformers	transformer	NOUN
ajst-30181	94	30	in	in	ADP
ajst-30181	94	31	modeling	model	VERB
ajst-30181	94	32	long	long	ADJ
ajst-30181	94	33	-	-	PUNCT
ajst-30181	94	34	range	range	NOUN
ajst-30181	94	35	dependencies	dependency	NOUN
ajst-30181	94	36	.	.	PUNCT
ajst-30181	95	1	figure	figure	NOUN
ajst-30181	95	2	4	4	NUM
ajst-30181	95	3	.	.	PUNCT
ajst-30181	96	1	the	the	DET
ajst-30181	96	2	vss	vss	NOUN
ajst-30181	96	3	modules	module	VERB
ajst-30181	96	4	3	3	NUM
ajst-30181	96	5	.	.	PUNCT
ajst-30181	96	6	experiments	experiment	NOUN
ajst-30181	96	7	3.1	3.1	NUM
ajst-30181	96	8	.	.	PUNCT
ajst-30181	97	1	datasets	dataset	NOUN
ajst-30181	97	2	to	to	PART
ajst-30181	97	3	objectively	objectively	ADV
ajst-30181	97	4	assess	assess	VERB
ajst-30181	97	5	and	and	CCONJ
ajst-30181	97	6	compare	compare	VERB
ajst-30181	97	7	brain	brain	NOUN
ajst-30181	97	8	tumor	tumor	NOUN
ajst-30181	97	9	segmentation	segmentation	NOUN
ajst-30181	97	10	methods	method	NOUN
ajst-30181	97	11	,	,	PUNCT
ajst-30181	97	12	we	we	PRON
ajst-30181	97	13	utilized	utilize	VERB
ajst-30181	97	14	the	the	DET
ajst-30181	97	15	official	official	ADJ
ajst-30181	97	16	brats	brat	NOUN
ajst-30181	97	17	2019	2019	NUM
ajst-30181	97	18	datasets	dataset	NOUN
ajst-30181	97	19	,	,	PUNCT
ajst-30181	97	20	which	which	PRON
ajst-30181	97	21	are	be	AUX
ajst-30181	97	22	widely	widely	ADV
ajst-30181	97	23	recognized	recognize	VERB
ajst-30181	97	24	in	in	ADP
ajst-30181	97	25	brain	brain	NOUN
ajst-30181	97	26	tumor	tumor	NOUN
ajst-30181	97	27	segmentation	segmentation	NOUN
ajst-30181	97	28	research	research	NOUN
ajst-30181	97	29	.	.	PUNCT
ajst-30181	98	1	these	these	DET
ajst-30181	98	2	datasets	dataset	NOUN
ajst-30181	98	3	provide	provide	VERB
ajst-30181	98	4	multi	multi	ADJ
ajst-30181	98	5	-	-	ADJ
ajst-30181	98	6	modal	modal	ADJ
ajst-30181	98	7	mri	mri	NOUN
ajst-30181	98	8	scans	scan	NOUN
ajst-30181	98	9	with	with	ADP
ajst-30181	98	10	manually	manually	ADV
ajst-30181	98	11	annotated	annotate	VERB
ajst-30181	98	12	ground	ground	NOUN
ajst-30181	98	13	truth	truth	NOUN
ajst-30181	98	14	labels	label	NOUN
ajst-30181	98	15	,	,	PUNCT
ajst-30181	98	16	making	make	VERB
ajst-30181	98	17	them	they	PRON
ajst-30181	98	18	well	well	ADV
ajst-30181	98	19	-	-	PUNCT
ajst-30181	98	20	suited	suit	VERB
ajst-30181	98	21	for	for	ADP
ajst-30181	98	22	evaluating	evaluate	VERB
ajst-30181	98	23	segmentation	segmentation	NOUN
ajst-30181	98	24	algorithms	algorithm	NOUN
ajst-30181	98	25	.	.	PUNCT
ajst-30181	99	1	the	the	DET
ajst-30181	99	2	brats	brat	NOUN
ajst-30181	99	3	2018	2018	NUM
ajst-30181	99	4	dataset	dataset	NOUN
ajst-30181	99	5	comprises	comprise	VERB
ajst-30181	99	6	285	285	NUM
ajst-30181	99	7	patients	patient	NOUN
ajst-30181	99	8	for	for	ADP
ajst-30181	99	9	training	training	NOUN
ajst-30181	99	10	and	and	CCONJ
ajst-30181	99	11	66	66	NUM
ajst-30181	99	12	unlabeled	unlabele	VERB
ajst-30181	99	13	patients	patient	NOUN
ajst-30181	99	14	for	for	ADP
ajst-30181	99	15	validation	validation	NOUN
ajst-30181	99	16	.	.	PUNCT
ajst-30181	100	1	the	the	DET
ajst-30181	100	2	brats	brat	NOUN
ajst-30181	100	3	2019	2019	NUM
ajst-30181	100	4	dataset	dataset	NOUN
ajst-30181	100	5	includes	include	VERB
ajst-30181	100	6	335	335	NUM
ajst-30181	100	7	patients	patient	NOUN
ajst-30181	100	8	in	in	ADP
ajst-30181	100	9	the	the	DET
ajst-30181	100	10	training	training	NOUN
ajst-30181	100	11	set	set	NOUN
ajst-30181	100	12	,	,	PUNCT
ajst-30181	100	13	consisting	consist	VERB
ajst-30181	100	14	of	of	ADP
ajst-30181	100	15	259	259	NUM
ajst-30181	100	16	high	high	ADJ
ajst-30181	100	17	-	-	PUNCT
ajst-30181	100	18	grade	grade	NOUN
ajst-30181	100	19	gliomas	glioma	NOUN
ajst-30181	100	20	(	(	PUNCT
ajst-30181	100	21	hgg	hgg	NOUN
ajst-30181	100	22	)	)	PUNCT
ajst-30181	100	23	and	and	CCONJ
ajst-30181	100	24	76	76	NUM
ajst-30181	100	25	low	low	ADJ
ajst-30181	100	26	-	-	PUNCT
ajst-30181	100	27	grade	grade	NOUN
ajst-30181	100	28	gliomas	glioma	NOUN
ajst-30181	100	29	(	(	PUNCT
ajst-30181	100	30	lgg	lgg	PROPN
ajst-30181	100	31	)	)	PUNCT
ajst-30181	100	32	,	,	PUNCT
ajst-30181	100	33	along	along	ADP
ajst-30181	100	34	with	with	ADP
ajst-30181	100	35	125	125	NUM
ajst-30181	100	36	unlabeled	unlabeled	ADJ
ajst-30181	100	37	patients	patient	NOUN
ajst-30181	100	38	in	in	ADP
ajst-30181	100	39	the	the	DET
ajst-30181	100	40	validation	validation	NOUN
ajst-30181	100	41	set	set	NOUN
ajst-30181	100	42	.	.	PUNCT
ajst-30181	101	1	each	each	DET
ajst-30181	101	2	training	training	NOUN
ajst-30181	101	3	sample	sample	NOUN
ajst-30181	101	4	includes	include	VERB
ajst-30181	101	5	four	four	NUM
ajst-30181	101	6	mri	mri	NOUN
ajst-30181	101	7	modalities	modality	NOUN
ajst-30181	101	8	—	—	PUNCT
ajst-30181	101	9	t1	t1	NOUN
ajst-30181	101	10	,	,	PUNCT
ajst-30181	101	11	t1c	t1c	PRON
ajst-30181	101	12	,	,	PUNCT
ajst-30181	101	13	t2	t2	NOUN
ajst-30181	101	14	,	,	PUNCT
ajst-30181	101	15	and	and	CCONJ
ajst-30181	101	16	flair	flair	NOUN
ajst-30181	101	17	—	—	PUNCT
ajst-30181	101	18	that	that	PRON
ajst-30181	101	19	capture	capture	VERB
ajst-30181	101	20	various	various	ADJ
ajst-30181	101	21	aspects	aspect	NOUN
ajst-30181	101	22	of	of	ADP
ajst-30181	101	23	brain	brain	NOUN
ajst-30181	101	24	tumors	tumor	NOUN
ajst-30181	101	25	.	.	PUNCT
ajst-30181	102	1	the	the	DET
ajst-30181	102	2	scans	scan	NOUN
ajst-30181	102	3	have	have	VERB
ajst-30181	102	4	uniform	uniform	ADJ
ajst-30181	102	5	dimensions	dimension	NOUN
ajst-30181	102	6	of	of	ADP
ajst-30181	102	7	240	240	NUM
ajst-30181	102	8	×	×	NOUN
ajst-30181	102	9	240	240	NUM
ajst-30181	102	10	×	×	NOUN
ajst-30181	102	11	155	155	NUM
ajst-30181	102	12	mm³	mm³	NOUN
ajst-30181	102	13	with	with	ADP
ajst-30181	102	14	a	a	DET
ajst-30181	102	15	voxel	voxel	NOUN
ajst-30181	102	16	spacing	spacing	NOUN
ajst-30181	102	17	of	of	ADP
ajst-30181	102	18	1	1	NUM
ajst-30181	102	19	×	×	NOUN
ajst-30181	102	20	1	1	NUM
ajst-30181	102	21	×	×	NOUN
ajst-30181	102	22	1	1	NUM
ajst-30181	102	23	mm³.	mm³.	NOUN
ajst-30181	102	24	3.2	3.2	NUM
ajst-30181	102	25	.	.	PUNCT
ajst-30181	103	1	evaluation	evaluation	NOUN
ajst-30181	103	2	indicators	indicator	NOUN
ajst-30181	103	3	brain	brain	VERB
ajst-30181	103	4	tumor	tumor	NOUN
ajst-30181	103	5	segmentation	segmentation	NOUN
ajst-30181	103	6	is	be	AUX
ajst-30181	103	7	a	a	DET
ajst-30181	103	8	vital	vital	ADJ
ajst-30181	103	9	task	task	NOUN
ajst-30181	103	10	in	in	ADP
ajst-30181	103	11	medical	medical	ADJ
ajst-30181	103	12	imaging	imaging	NOUN
ajst-30181	103	13	,	,	PUNCT
ajst-30181	103	14	requiring	require	VERB
ajst-30181	103	15	accurate	accurate	ADJ
ajst-30181	103	16	and	and	CCONJ
ajst-30181	103	17	dependable	dependable	ADJ
ajst-30181	103	18	techniques	technique	NOUN
ajst-30181	103	19	to	to	PART
ajst-30181	103	20	outline	outline	VERB
ajst-30181	103	21	tumor	tumor	NOUN
ajst-30181	103	22	sub	sub	NOUN
ajst-30181	103	23	-	-	NOUN
ajst-30181	103	24	regions	region	NOUN
ajst-30181	103	25	.	.	PUNCT
ajst-30181	104	1	benchmark	benchmark	NOUN
ajst-30181	104	2	datasets	dataset	NOUN
ajst-30181	104	3	like	like	ADP
ajst-30181	104	4	brats	brat	NOUN
ajst-30181	104	5	2018	2018	NUM
ajst-30181	104	6	,	,	PUNCT
ajst-30181	104	7	brats	brat	NOUN
ajst-30181	104	8	2019	2019	NUM
ajst-30181	104	9	offer	offer	VERB
ajst-30181	104	10	manually	manually	ADV
ajst-30181	104	11	labeled	label	VERB
ajst-30181	104	12	ground	ground	NOUN
ajst-30181	104	13	truth	truth	NOUN
ajst-30181	104	14	for	for	ADP
ajst-30181	104	15	four	four	NUM
ajst-30181	104	16	categories	category	NOUN
ajst-30181	104	17	:	:	PUNCT
ajst-30181	104	18	background	background	NOUN
ajst-30181	104	19	(	(	PUNCT
ajst-30181	104	20	label	label	NOUN
ajst-30181	104	21	0	0	NUM
ajst-30181	104	22	)	)	PUNCT
ajst-30181	104	23	,	,	PUNCT
ajst-30181	104	24	necrosis	necrosis	NOUN
ajst-30181	104	25	and	and	CCONJ
ajst-30181	104	26	nonenhancing	nonenhance	VERB
ajst-30181	104	27	tumor	tumor	NOUN
ajst-30181	104	28	(	(	PUNCT
ajst-30181	104	29	ncr	ncr	PROPN
ajst-30181	104	30	/	/	SYM
ajst-30181	104	31	net	net	NOUN
ajst-30181	104	32	,	,	PUNCT
ajst-30181	104	33	label	label	NOUN
ajst-30181	104	34	1	1	NUM
ajst-30181	104	35	)	)	PUNCT
ajst-30181	104	36	,	,	PUNCT
ajst-30181	104	37	peritumoral	peritumoral	ADJ
ajst-30181	104	38	edema	edema	NOUN
ajst-30181	104	39	(	(	PUNCT
ajst-30181	104	40	ed	ed	NOUN
ajst-30181	104	41	,	,	PUNCT
ajst-30181	104	42	label	label	NOUN
ajst-30181	104	43	2	2	NUM
ajst-30181	104	44	)	)	PUNCT
ajst-30181	104	45	,	,	PUNCT
ajst-30181	104	46	and	and	CCONJ
ajst-30181	104	47	enhancing	enhance	VERB
ajst-30181	104	48	tumor	tumor	NOUN
ajst-30181	104	49	(	(	PUNCT
ajst-30181	104	50	et	et	NOUN
ajst-30181	104	51	,	,	PUNCT
ajst-30181	104	52	label	label	NOUN
ajst-30181	104	53	4	4	NUM
ajst-30181	104	54	)	)	PUNCT
ajst-30181	104	55	.	.	PUNCT
ajst-30181	105	1	for	for	ADP
ajst-30181	105	2	evaluation	evaluation	NOUN
ajst-30181	105	3	purposes	purpose	NOUN
ajst-30181	105	4	,	,	PUNCT
ajst-30181	105	5	these	these	DET
ajst-30181	105	6	labels	label	NOUN
ajst-30181	105	7	are	be	AUX
ajst-30181	105	8	reorganized	reorganize	VERB
ajst-30181	105	9	into	into	ADP
ajst-30181	105	10	three	three	NUM
ajst-30181	105	11	main	main	ADJ
ajst-30181	105	12	regions	region	NOUN
ajst-30181	105	13	:	:	PUNCT
ajst-30181	105	14	whole	whole	ADJ
ajst-30181	105	15	tumor	tumor	NOUN
ajst-30181	105	16	(	(	PUNCT
ajst-30181	105	17	wt	wt	NOUN
ajst-30181	105	18	,	,	PUNCT
ajst-30181	105	19	labels	label	NOUN
ajst-30181	105	20	1	1	NUM
ajst-30181	105	21	,	,	PUNCT
ajst-30181	105	22	2	2	NUM
ajst-30181	105	23	,	,	PUNCT
ajst-30181	105	24	and	and	CCONJ
ajst-30181	105	25	4	4	NUM
ajst-30181	105	26	)	)	PUNCT
ajst-30181	105	27	,	,	PUNCT
ajst-30181	105	28	tumor	tumor	NOUN
ajst-30181	105	29	core	core	NOUN
ajst-30181	105	30	(	(	PUNCT
ajst-30181	105	31	tc	tc	NOUN
ajst-30181	105	32	,	,	PUNCT
ajst-30181	105	33	labels	label	NOUN
ajst-30181	105	34	1	1	NUM
ajst-30181	105	35	and	and	CCONJ
ajst-30181	105	36	4	4	NUM
ajst-30181	105	37	)	)	PUNCT
ajst-30181	105	38	,	,	PUNCT
ajst-30181	105	39	and	and	CCONJ
ajst-30181	105	40	enhancing	enhance	VERB
ajst-30181	105	41	tumor	tumor	NOUN
ajst-30181	105	42	(	(	PUNCT
ajst-30181	105	43	et	et	NOUN
ajst-30181	105	44	,	,	PUNCT
ajst-30181	105	45	label	label	NOUN
ajst-30181	105	46	1	1	NUM
ajst-30181	105	47	)	)	PUNCT
ajst-30181	105	48	.	.	PUNCT
ajst-30181	106	1	to	to	PART
ajst-30181	106	2	assess	assess	VERB
ajst-30181	106	3	segmentation	segmentation	NOUN
ajst-30181	106	4	performance	performance	NOUN
ajst-30181	106	5	,	,	PUNCT
ajst-30181	106	6	two	two	NUM
ajst-30181	106	7	commonly	commonly	ADV
ajst-30181	106	8	used	use	VERB
ajst-30181	106	9	metrics	metric	NOUN
ajst-30181	106	10	are	be	AUX
ajst-30181	106	11	the	the	DET
ajst-30181	106	12	dice	dice	NOUN
ajst-30181	106	13	similarity	similarity	NOUN
ajst-30181	106	14	coefficient	coefficient	NOUN
ajst-30181	106	15	(	(	PUNCT
ajst-30181	106	16	dice	dice	NOUN
ajst-30181	106	17	score	score	NOUN
ajst-30181	106	18	)	)	PUNCT
ajst-30181	106	19	and	and	CCONJ
ajst-30181	106	20	the	the	DET
ajst-30181	106	21	95	95	NUM
ajst-30181	106	22	%	%	NOUN
ajst-30181	106	23	hausdorff	hausdorff	NOUN
ajst-30181	106	24	distance	distance	NOUN
ajst-30181	106	25	(	(	PUNCT
ajst-30181	106	26	hd95	hd95	PROPN
ajst-30181	106	27	)	)	PUNCT
ajst-30181	106	28	.	.	PUNCT
ajst-30181	107	1	the	the	DET
ajst-30181	107	2	dice	dice	NOUN
ajst-30181	107	3	score	score	NOUN
ajst-30181	107	4	evaluates	evaluate	VERB
ajst-30181	107	5	the	the	DET
ajst-30181	107	6	overlap	overlap	NOUN
ajst-30181	107	7	between	between	ADP
ajst-30181	107	8	predicted	predict	VERB
ajst-30181	107	9	and	and	CCONJ
ajst-30181	107	10	true	true	ADJ
ajst-30181	107	11	segmentations	segmentation	NOUN
ajst-30181	107	12	,	,	PUNCT
ajst-30181	107	13	while	while	SCONJ
ajst-30181	107	14	hd95	hd95	NOUN
ajst-30181	107	15	measures	measure	VERB
ajst-30181	107	16	the	the	DET
ajst-30181	107	17	maximum	maximum	ADJ
ajst-30181	107	18	boundary	boundary	ADJ
ajst-30181	107	19	error	error	NOUN
ajst-30181	107	20	,	,	PUNCT
ajst-30181	107	21	offering	offer	VERB
ajst-30181	107	22	complementary	complementary	ADJ
ajst-30181	107	23	perspectives	perspective	NOUN
ajst-30181	107	24	on	on	ADP
ajst-30181	107	25	segmentation	segmentation	NOUN
ajst-30181	107	26	accuracy	accuracy	NOUN
ajst-30181	107	27	and	and	CCONJ
ajst-30181	107	28	boundary	boundary	ADJ
ajst-30181	107	29	alignment	alignment	NOUN
ajst-30181	107	30	.	.	PUNCT
ajst-30181	108	1	the	the	DET
ajst-30181	108	2	formulas	formula	NOUN
ajst-30181	108	3	for	for	ADP
ajst-30181	108	4	these	these	DET
ajst-30181	108	5	metrics	metric	NOUN
ajst-30181	108	6	are	be	AUX
ajst-30181	108	7	expressed	express	VERB
ajst-30181	108	8	as	as	SCONJ
ajst-30181	108	9	follows	follow	VERB
ajst-30181	108	10	:	:	PUNCT
ajst-30181	108	11	dice	dice	NOUN
ajst-30181	108	12	|	|	ADV
ajst-30181	108	13	∩	∩	ADJ
ajst-30181	109	1	|	|	ADV
ajst-30181	110	1	|	|	ADV
ajst-30181	111	1	|	|	ADV
ajst-30181	111	2	|	|	ADV
ajst-30181	111	3	|	|	INTJ
ajst-30181	111	4	(	(	PUNCT
ajst-30181	111	5	6	6	NUM
ajst-30181	111	6	)	)	PUNCT
ajst-30181	111	7	hd95	hd95	PROPN
ajst-30181	111	8	max	max	PROPN
ajst-30181	111	9	sup	sup	PROPN
ajst-30181	111	10	∈	∈	PROPN
ajst-30181	111	11	inf	inf	NOUN
ajst-30181	111	12	∈	∈	PROPN
ajst-30181	111	13	𝑑	𝑑	PROPN
ajst-30181	111	14	𝑝	𝑝	PROPN
ajst-30181	111	15	,	,	PUNCT
ajst-30181	111	16	𝑞	𝑞	X
ajst-30181	111	17	,	,	PUNCT
ajst-30181	111	18	sup	sup	PROPN
ajst-30181	111	19	∈	∈	PROPN
ajst-30181	111	20	inf	inf	NOUN
ajst-30181	111	21	∈	∈	PROPN
ajst-30181	111	22	𝑑	𝑑	PROPN
ajst-30181	111	23	𝑝	𝑝	PROPN
ajst-30181	111	24	,	,	PUNCT
ajst-30181	111	25	𝑞	𝑞	X
ajst-30181	111	26	(	(	PUNCT
ajst-30181	111	27	7	7	X
ajst-30181	111	28	)	)	PUNCT
ajst-30181	111	29	let	let	VERB
ajst-30181	111	30	a	a	PRON
ajst-30181	111	31	and	and	CCONJ
ajst-30181	111	32	b	b	NOUN
ajst-30181	111	33	represent	represent	VERB
ajst-30181	111	34	the	the	DET
ajst-30181	111	35	ground	ground	NOUN
ajst-30181	111	36	truth	truth	NOUN
ajst-30181	111	37	and	and	CCONJ
ajst-30181	111	38	predicted	predict	VERB
ajst-30181	111	39	segmentation	segmentation	NOUN
ajst-30181	111	40	sets	set	NOUN
ajst-30181	111	41	,	,	PUNCT
ajst-30181	111	42	respectively	respectively	ADV
ajst-30181	111	43	.	.	PUNCT
ajst-30181	112	1	the	the	DET
ajst-30181	112	2	symbols	symbols	PROPN
ajst-30181	112	3	𝑇𝑃	𝑇𝑃	PROPN
ajst-30181	112	4	,	,	PUNCT
ajst-30181	112	5	𝐹𝑃	𝐹𝑃	PROPN
ajst-30181	112	6	,	,	PUNCT
ajst-30181	112	7	𝑇𝑁	𝑇𝑁	PROPN
ajst-30181	112	8	,	,	PUNCT
ajst-30181	112	9	and	and	CCONJ
ajst-30181	112	10	𝐹𝑁	𝐹𝑁	PROPN
ajst-30181	112	11	indicate	indicate	VERB
ajst-30181	112	12	the	the	DET
ajst-30181	112	13	voxel	voxel	PROPN
ajst-30181	112	14	counts	count	NOUN
ajst-30181	112	15	corresponding	correspond	VERB
ajst-30181	112	16	to	to	ADP
ajst-30181	112	17	true	true	ADJ
ajst-30181	112	18	positives	positive	NOUN
ajst-30181	112	19	,	,	PUNCT
ajst-30181	112	20	false	false	ADJ
ajst-30181	112	21	positives	positive	NOUN
ajst-30181	112	22	,	,	PUNCT
ajst-30181	112	23	true	true	ADJ
ajst-30181	112	24	negatives	negative	NOUN
ajst-30181	112	25	,	,	PUNCT
ajst-30181	112	26	and	and	CCONJ
ajst-30181	112	27	false	false	ADJ
ajst-30181	112	28	negatives	negative	NOUN
ajst-30181	112	29	.	.	PUNCT
ajst-30181	113	1	3.3	3.3	NUM
ajst-30181	113	2	.	.	PUNCT
ajst-30181	114	1	ablation	ablation	NOUN
ajst-30181	114	2	studies	study	NOUN
ajst-30181	114	3	this	this	DET
ajst-30181	114	4	section	section	NOUN
ajst-30181	114	5	validates	validate	VERB
ajst-30181	114	6	the	the	DET
ajst-30181	114	7	effectiveness	effectiveness	NOUN
ajst-30181	114	8	of	of	ADP
ajst-30181	114	9	the	the	DET
ajst-30181	114	10	malr	malr	PROPN
ajst-30181	114	11	(	(	PUNCT
ajst-30181	114	12	multi	multi	ADJ
ajst-30181	114	13	-	-	ADJ
ajst-30181	114	14	scale	scale	ADJ
ajst-30181	114	15	adaptive	adaptive	ADJ
ajst-30181	114	16	local	local	ADJ
ajst-30181	114	17	-	-	PUNCT
ajst-30181	114	18	context	context	NOUN
ajst-30181	114	19	refinement	refinement	NOUN
ajst-30181	114	20	)	)	PUNCT
ajst-30181	114	21	module	module	NOUN
ajst-30181	114	22	in	in	ADP
ajst-30181	114	23	mambaformer3d	mambaformer3d	PROPN
ajst-30181	114	24	through	through	ADP
ajst-30181	114	25	ablation	ablation	NOUN
ajst-30181	114	26	experiments	experiment	NOUN
ajst-30181	114	27	on	on	ADP
ajst-30181	114	28	encoderdecoder	encoderdecoder	NOUN
ajst-30181	114	29	configurations	configuration	NOUN
ajst-30181	114	30	.	.	PUNCT
ajst-30181	115	1	as	as	SCONJ
ajst-30181	115	2	shown	show	VERB
ajst-30181	115	3	in	in	ADP
ajst-30181	115	4	table	table	NOUN
ajst-30181	115	5	1	1	NUM
ajst-30181	115	6	,	,	PUNCT
ajst-30181	115	7	the	the	DET
ajst-30181	115	8	complete	complete	ADJ
ajst-30181	115	9	encoder	encoder	NOUN
ajst-30181	115	10	+	+	CCONJ
ajst-30181	115	11	decoder	decoder	NOUN
ajst-30181	115	12	+	+	CCONJ
ajst-30181	115	13	malr	malr	PROPN
ajst-30181	115	14	model	model	NOUN
ajst-30181	115	15	(	(	PUNCT
ajst-30181	115	16	19.94	19.94	NUM
ajst-30181	115	17	m	m	PROPN
ajst-30181	115	18	parameters	parameter	NOUN
ajst-30181	115	19	)	)	PUNCT
ajst-30181	115	20	achieves	achieve	VERB
ajst-30181	115	21	state	state	NOUN
ajst-30181	115	22	-	-	PUNCT
ajst-30181	115	23	of	of	ADP
ajst-30181	115	24	-	-	PUNCT
ajst-30181	115	25	the	the	DET
ajst-30181	115	26	-	-	PUNCT
ajst-30181	115	27	art	art	NOUN
ajst-30181	115	28	performance	performance	NOUN
ajst-30181	115	29	on	on	ADP
ajst-30181	115	30	the	the	DET
ajst-30181	115	31	brats	brat	NOUN
ajst-30181	115	32	2019	2019	NUM
ajst-30181	115	33	dataset	dataset	NOUN
ajst-30181	115	34	,	,	PUNCT
ajst-30181	115	35	with	with	ADP
ajst-30181	115	36	a	a	DET
ajst-30181	115	37	mean	mean	ADJ
ajst-30181	115	38	dice	dice	NOUN
ajst-30181	115	39	coefficient	coefficient	NOUN
ajst-30181	115	40	of	of	ADP
ajst-30181	115	41	0.915	0.915	NUM
ajst-30181	115	42	and	and	CCONJ
ajst-30181	115	43	hd95	hd95	PROPN
ajst-30181	115	44	of	of	ADP
ajst-30181	115	45	3.129	3.129	NUM
ajst-30181	115	46	mm	mm	NOUN
ajst-30181	115	47	,	,	PUNCT
ajst-30181	115	48	surpassing	surpass	VERB
ajst-30181	115	49	swin	swin	PROPN
ajst-30181	115	50	unetr	unetr	PROPN
ajst-30181	115	51	(	(	PUNCT
ajst-30181	115	52	62.83	62.83	NUM
ajst-30181	115	53	m	m	PROPN
ajst-30181	115	54	parameters	parameter	NOUN
ajst-30181	115	55	)	)	PUNCT
ajst-30181	115	56	by	by	ADP
ajst-30181	115	57	73	73	NUM
ajst-30181	115	58	+1.0	+1.0	NUM
ajst-30181	115	59	%	%	NOUN
ajst-30181	115	60	in	in	ADP
ajst-30181	115	61	dice	dice	NOUN
ajst-30181	115	62	and	and	CCONJ
ajst-30181	115	63	−21.9	−21.9	NUM
ajst-30181	115	64	%	%	NOUN
ajst-30181	115	65	in	in	ADP
ajst-30181	115	66	hd95	hd95	PROPN
ajst-30181	115	67	.	.	PUNCT
ajst-30181	116	1	when	when	SCONJ
ajst-30181	116	2	applying	apply	VERB
ajst-30181	116	3	malr	malr	PROPN
ajst-30181	116	4	only	only	ADV
ajst-30181	116	5	to	to	ADP
ajst-30181	116	6	the	the	DET
ajst-30181	116	7	encoder	encoder	NOUN
ajst-30181	116	8	(	(	PUNCT
ajst-30181	116	9	encoder	encoder	NOUN
ajst-30181	116	10	+	+	CCONJ
ajst-30181	116	11	malr	malr	PROPN
ajst-30181	116	12	,	,	PUNCT
ajst-30181	116	13	13.86	13.86	NUM
ajst-30181	116	14	m	m	NOUN
ajst-30181	116	15	parameters	parameter	NOUN
ajst-30181	116	16	)	)	PUNCT
ajst-30181	116	17	,	,	PUNCT
ajst-30181	116	18	the	the	DET
ajst-30181	116	19	dice	dice	NOUN
ajst-30181	116	20	score	score	NOUN
ajst-30181	116	21	improves	improve	VERB
ajst-30181	116	22	by	by	ADP
ajst-30181	116	23	0.8	0.8	NUM
ajst-30181	116	24	%	%	NOUN
ajst-30181	116	25	,	,	PUNCT
ajst-30181	116	26	and	and	CCONJ
ajst-30181	116	27	hd95	hd95	PROPN
ajst-30181	116	28	decreases	decrease	VERB
ajst-30181	116	29	by	by	ADP
ajst-30181	116	30	16.5	16.5	NUM
ajst-30181	116	31	%	%	NOUN
ajst-30181	116	32	,	,	PUNCT
ajst-30181	116	33	demonstrating	demonstrate	VERB
ajst-30181	116	34	enhanced	enhance	VERB
ajst-30181	116	35	local	local	ADJ
ajst-30181	116	36	-	-	PUNCT
ajst-30181	116	37	context	context	NOUN
ajst-30181	116	38	modeling	modeling	NOUN
ajst-30181	116	39	capabilities	capability	NOUN
ajst-30181	116	40	.	.	PUNCT
ajst-30181	117	1	integrating	integrate	VERB
ajst-30181	117	2	malr	malr	PROPN
ajst-30181	117	3	into	into	ADP
ajst-30181	117	4	the	the	DET
ajst-30181	117	5	decoder	decoder	NOUN
ajst-30181	117	6	(	(	PUNCT
ajst-30181	117	7	decoder	decoder	NOUN
ajst-30181	117	8	+	+	CCONJ
ajst-30181	117	9	malr	malr	PROPN
ajst-30181	117	10	,	,	PUNCT
ajst-30181	117	11	14.97	14.97	NUM
ajst-30181	117	12	m	m	NOUN
ajst-30181	117	13	parameters	parameter	NOUN
ajst-30181	117	14	)	)	PUNCT
ajst-30181	117	15	further	far	ADV
ajst-30181	117	16	reduces	reduce	VERB
ajst-30181	117	17	hd95	hd95	NOUN
ajst-30181	117	18	to	to	ADP
ajst-30181	117	19	3.381	3.381	NUM
ajst-30181	117	20	mm	mm	NOUN
ajst-30181	117	21	,	,	PUNCT
ajst-30181	117	22	though	though	SCONJ
ajst-30181	117	23	with	with	ADP
ajst-30181	117	24	a	a	DET
ajst-30181	117	25	slight	slight	ADJ
ajst-30181	117	26	dice	dice	NOUN
ajst-30181	117	27	drop	drop	NOUN
ajst-30181	117	28	(	(	PUNCT
ajst-30181	117	29	−0.2	−0.2	NOUN
ajst-30181	117	30	%	%	NOUN
ajst-30181	117	31	)	)	PUNCT
ajst-30181	117	32	,	,	PUNCT
ajst-30181	117	33	indicating	indicate	VERB
ajst-30181	117	34	a	a	DET
ajst-30181	117	35	trade	trade	NOUN
ajst-30181	117	36	-	-	PUNCT
ajst-30181	117	37	off	off	NOUN
ajst-30181	117	38	between	between	ADP
ajst-30181	117	39	feature	feature	NOUN
ajst-30181	117	40	resolution	resolution	NOUN
ajst-30181	117	41	and	and	CCONJ
ajst-30181	117	42	semantic	semantic	ADJ
ajst-30181	117	43	retention	retention	NOUN
ajst-30181	117	44	.	.	PUNCT
ajst-30181	118	1	the	the	DET
ajst-30181	118	2	full	full	ADJ
ajst-30181	118	3	model	model	NOUN
ajst-30181	118	4	achieves	achieve	VERB
ajst-30181	118	5	dice	dice	NOUN
ajst-30181	118	6	scores	score	NOUN
ajst-30181	118	7	of	of	ADP
ajst-30181	118	8	0.911	0.911	NUM
ajst-30181	118	9	(	(	PUNCT
ajst-30181	118	10	et	et	NOUN
ajst-30181	118	11	)	)	PUNCT
ajst-30181	118	12	,	,	PUNCT
ajst-30181	118	13	0.917	0.917	NUM
ajst-30181	118	14	(	(	PUNCT
ajst-30181	118	15	wt	wt	NOUN
ajst-30181	118	16	)	)	PUNCT
ajst-30181	118	17	,	,	PUNCT
ajst-30181	118	18	and	and	CCONJ
ajst-30181	118	19	0.916	0.916	NUM
ajst-30181	118	20	(	(	PUNCT
ajst-30181	118	21	tc	tc	NOUN
ajst-30181	118	22	)	)	PUNCT
ajst-30181	118	23	,	,	PUNCT
ajst-30181	118	24	surpassing	surpass	VERB
ajst-30181	118	25	swin	swin	PROPN
ajst-30181	118	26	unetr	unetr	PROPN
ajst-30181	118	27	by	by	ADP
ajst-30181	118	28	0.6	0.6	NUM
ajst-30181	118	29	%	%	NOUN
ajst-30181	118	30	,	,	PUNCT
ajst-30181	118	31	0.9	0.9	NUM
ajst-30181	118	32	%	%	NOUN
ajst-30181	118	33	,	,	PUNCT
ajst-30181	118	34	and	and	CCONJ
ajst-30181	118	35	2.2	2.2	NUM
ajst-30181	118	36	%	%	NOUN
ajst-30181	118	37	,	,	PUNCT
ajst-30181	118	38	respectively	respectively	ADV
ajst-30181	118	39	,	,	PUNCT
ajst-30181	118	40	with	with	ADP
ajst-30181	118	41	a	a	DET
ajst-30181	118	42	notable	notable	ADJ
ajst-30181	118	43	1.281	1.281	NUM
ajst-30181	118	44	mm	mm	NOUN
ajst-30181	118	45	reduction	reduction	NOUN
ajst-30181	118	46	in	in	ADP
ajst-30181	118	47	hd95	hd95	PROPN
ajst-30181	118	48	for	for	ADP
ajst-30181	118	49	tumor	tumor	NOUN
ajst-30181	118	50	core	core	NOUN
ajst-30181	118	51	(	(	PUNCT
ajst-30181	118	52	tc	tc	NOUN
ajst-30181	118	53	)	)	PUNCT
ajst-30181	118	54	boundaries	boundary	NOUN
ajst-30181	118	55	.	.	PUNCT
ajst-30181	119	1	notably	notably	ADV
ajst-30181	119	2	,	,	PUNCT
ajst-30181	119	3	mambaformer3d	mambaformer3d	PROPN
ajst-30181	119	4	achieves	achieve	VERB
ajst-30181	119	5	superior	superior	ADJ
ajst-30181	119	6	performance	performance	NOUN
ajst-30181	119	7	with	with	ADP
ajst-30181	119	8	only	only	ADV
ajst-30181	119	9	31.7	31.7	NUM
ajst-30181	119	10	%	%	NOUN
ajst-30181	119	11	of	of	ADP
ajst-30181	119	12	the	the	DET
ajst-30181	119	13	parameters	parameter	NOUN
ajst-30181	119	14	of	of	ADP
ajst-30181	119	15	swin	swin	PROPN
ajst-30181	119	16	unetr	unetr	PROPN
ajst-30181	119	17	,	,	PUNCT
ajst-30181	119	18	demonstrating	demonstrate	VERB
ajst-30181	119	19	the	the	DET
ajst-30181	119	20	efficiency	efficiency	NOUN
ajst-30181	119	21	of	of	ADP
ajst-30181	119	22	its	its	PRON
ajst-30181	119	23	hierarchical	hierarchical	ADJ
ajst-30181	119	24	lightweight	lightweight	ADJ
ajst-30181	119	25	design	design	NOUN
ajst-30181	119	26	.	.	PUNCT
ajst-30181	120	1	these	these	DET
ajst-30181	120	2	results	result	NOUN
ajst-30181	120	3	validate	validate	VERB
ajst-30181	120	4	the	the	DET
ajst-30181	120	5	malr	malr	PROPN
ajst-30181	120	6	module	module	NOUN
ajst-30181	120	7	's	's	PART
ajst-30181	120	8	ability	ability	NOUN
ajst-30181	120	9	to	to	PART
ajst-30181	120	10	adaptively	adaptively	ADV
ajst-30181	120	11	capture	capture	VERB
ajst-30181	120	12	multi	multi	ADJ
ajst-30181	120	13	-	-	ADJ
ajst-30181	120	14	scale	scale	ADJ
ajst-30181	120	15	local	local	ADJ
ajst-30181	120	16	context	context	NOUN
ajst-30181	120	17	,	,	PUNCT
ajst-30181	120	18	effectively	effectively	ADV
ajst-30181	120	19	enhancing	enhance	VERB
ajst-30181	120	20	the	the	DET
ajst-30181	120	21	segmentation	segmentation	NOUN
ajst-30181	120	22	accuracy	accuracy	NOUN
ajst-30181	120	23	for	for	ADP
ajst-30181	120	24	complex	complex	ADJ
ajst-30181	120	25	boundaries	boundary	NOUN
ajst-30181	120	26	while	while	SCONJ
ajst-30181	120	27	maintaining	maintain	VERB
ajst-30181	120	28	computational	computational	ADJ
ajst-30181	120	29	efficiency	efficiency	NOUN
ajst-30181	120	30	.	.	PUNCT
ajst-30181	121	1	the	the	DET
ajst-30181	121	2	combination	combination	NOUN
ajst-30181	121	3	of	of	ADP
ajst-30181	121	4	a	a	DET
ajst-30181	121	5	lightweight	lightweight	ADJ
ajst-30181	121	6	architecture	architecture	NOUN
ajst-30181	121	7	and	and	CCONJ
ajst-30181	121	8	advanced	advanced	ADJ
ajst-30181	121	9	localcontext	localcontext	NOUN
ajst-30181	121	10	modeling	modeling	NOUN
ajst-30181	121	11	positions	position	NOUN
ajst-30181	121	12	mambaformer3d	mambaformer3d	VERB
ajst-30181	121	13	as	as	ADP
ajst-30181	121	14	a	a	DET
ajst-30181	121	15	promising	promising	ADJ
ajst-30181	121	16	approach	approach	NOUN
ajst-30181	121	17	for	for	ADP
ajst-30181	121	18	resource	resource	NOUN
ajst-30181	121	19	-	-	PUNCT
ajst-30181	121	20	constrained	constrain	VERB
ajst-30181	121	21	medical	medical	ADJ
ajst-30181	121	22	applications	application	NOUN
ajst-30181	121	23	.	.	PUNCT
ajst-30181	122	1	table	table	NOUN
ajst-30181	122	2	1	1	NUM
ajst-30181	122	3	.	.	PUNCT
ajst-30181	122	4	ablation	ablation	NOUN
ajst-30181	122	5	experiments	experiment	NOUN
ajst-30181	122	6	on	on	ADP
ajst-30181	122	7	the	the	DET
ajst-30181	122	8	brats	brat	NOUN
ajst-30181	122	9	2019	2019	NUM
ajst-30181	122	10	dataset	dataset	NOUN
ajst-30181	122	11	model	model	NOUN
ajst-30181	122	12	params(m	params(m	PROPN
ajst-30181	122	13	)	)	PUNCT
ajst-30181	122	14	dice	dice	NOUN
ajst-30181	122	15	hd95	hd95	PROPN
ajst-30181	122	16	swin	swin	PROPN
ajst-30181	122	17	unetr	unetr	PROPN
ajst-30181	122	18	62.83	62.83	NUM
ajst-30181	122	19	0.905	0.905	NUM
ajst-30181	122	20	4.008	4.008	NUM
ajst-30181	122	21	encoder+malr	encoder+malr	PROPN
ajst-30181	122	22	13.86	13.86	NUM
ajst-30181	122	23	0.913	0.913	NUM
ajst-30181	122	24	3.345	3.345	NUM
ajst-30181	122	25	dncoder+malr	dncoder+malr	PROPN
ajst-30181	122	26	5.97	5.97	NUM
ajst-30181	122	27	0.911	0.911	NUM
ajst-30181	122	28	3.381	3.381	NUM
ajst-30181	122	29	encoder	encoder	NOUN
ajst-30181	122	30	and	and	CCONJ
ajst-30181	122	31	dncoder+malr	dncoder+malr	PROPN
ajst-30181	122	32	14.94	14.94	NUM
ajst-30181	122	33	0.915	0.915	NUM
ajst-30181	122	34	3.129	3.129	NUM
ajst-30181	122	35	3.4	3.4	NUM
ajst-30181	122	36	.	.	PUNCT
ajst-30181	123	1	comparative	comparative	ADJ
ajst-30181	123	2	experiment	experiment	NOUN
ajst-30181	123	3	in	in	ADP
ajst-30181	123	4	this	this	DET
ajst-30181	123	5	section	section	NOUN
ajst-30181	124	1	,	,	PUNCT
ajst-30181	124	2	the	the	DET
ajst-30181	124	3	mambaformer3d	mambaformer3d	PROPN
ajst-30181	124	4	algorithm	algorithm	NOUN
ajst-30181	124	5	is	be	AUX
ajst-30181	124	6	compared	compare	VERB
ajst-30181	124	7	with	with	ADP
ajst-30181	124	8	the	the	DET
ajst-30181	124	9	current	current	ADJ
ajst-30181	124	10	mainstream	mainstream	NOUN
ajst-30181	124	11	brain	brain	NOUN
ajst-30181	124	12	tumor	tumor	NOUN
ajst-30181	124	13	image	image	NOUN
ajst-30181	124	14	segmentation	segmentation	NOUN
ajst-30181	124	15	methods	method	NOUN
ajst-30181	124	16	,	,	PUNCT
ajst-30181	124	17	including	include	VERB
ajst-30181	124	18	vnet	vnet	NOUN
ajst-30181	124	19	,	,	PUNCT
ajst-30181	124	20	unetr	unetr	NOUN
ajst-30181	124	21	[	[	X
ajst-30181	124	22	15	15	NUM
ajst-30181	124	23	]	]	PUNCT
ajst-30181	124	24	,	,	PUNCT
ajst-30181	124	25	swin	swin	PROPN
ajst-30181	124	26	unetr	unetr	PROPN
ajst-30181	125	1	[	[	X
ajst-30181	125	2	16	16	NUM
ajst-30181	125	3	]	]	PUNCT
ajst-30181	125	4	,	,	PUNCT
ajst-30181	125	5	adhdc	adhdc	NOUN
ajst-30181	125	6	-	-	PUNCT
ajst-30181	125	7	net	net	NOUN
ajst-30181	125	8	[	[	X
ajst-30181	125	9	17	17	NUM
ajst-30181	125	10	]	]	PUNCT
ajst-30181	125	11	,	,	PUNCT
ajst-30181	125	12	and	and	CCONJ
ajst-30181	125	13	transbts	transbt	NOUN
ajst-30181	125	14	[	[	X
ajst-30181	125	15	18	18	NUM
ajst-30181	125	16	]	]	PUNCT
ajst-30181	125	17	,	,	PUNCT
ajst-30181	125	18	to	to	PART
ajst-30181	125	19	comprehensively	comprehensively	ADV
ajst-30181	125	20	evaluate	evaluate	VERB
ajst-30181	125	21	the	the	DET
ajst-30181	125	22	performance	performance	NOUN
ajst-30181	125	23	of	of	ADP
ajst-30181	125	24	each	each	DET
ajst-30181	125	25	algorithm	algorithm	NOUN
ajst-30181	125	26	on	on	ADP
ajst-30181	125	27	the	the	DET
ajst-30181	125	28	brats	brat	NOUN
ajst-30181	125	29	2019	2019	NUM
ajst-30181	125	30	dataset	dataset	NOUN
ajst-30181	125	31	.	.	PUNCT
ajst-30181	126	1	in	in	ADP
ajst-30181	126	2	order	order	NOUN
ajst-30181	126	3	to	to	PART
ajst-30181	126	4	ensure	ensure	VERB
ajst-30181	126	5	the	the	DET
ajst-30181	126	6	fairness	fairness	NOUN
ajst-30181	126	7	and	and	CCONJ
ajst-30181	126	8	scientificity	scientificity	NOUN
ajst-30181	126	9	of	of	ADP
ajst-30181	126	10	the	the	DET
ajst-30181	126	11	comparison	comparison	NOUN
ajst-30181	126	12	,	,	PUNCT
ajst-30181	126	13	dice	dice	NOUN
ajst-30181	126	14	similarity	similarity	NOUN
ajst-30181	126	15	coefficient	coefficient	NOUN
ajst-30181	126	16	(	(	PUNCT
ajst-30181	126	17	dice	dice	PROPN
ajst-30181	126	18	)	)	PUNCT
ajst-30181	126	19	,	,	PUNCT
ajst-30181	126	20	95	95	NUM
ajst-30181	126	21	%	%	NOUN
ajst-30181	126	22	hausdorff	hausdorff	NOUN
ajst-30181	126	23	distance	distance	NOUN
ajst-30181	126	24	(	(	PUNCT
ajst-30181	126	25	hd95	hd95	PROPN
ajst-30181	126	26	)	)	PUNCT
ajst-30181	126	27	,	,	PUNCT
ajst-30181	126	28	number	number	NOUN
ajst-30181	126	29	of	of	ADP
ajst-30181	126	30	parameters	parameter	NOUN
ajst-30181	126	31	and	and	CCONJ
ajst-30181	126	32	computational	computational	ADJ
ajst-30181	126	33	complexity	complexity	NOUN
ajst-30181	126	34	(	(	PUNCT
ajst-30181	126	35	gflops	gflop	NOUN
ajst-30181	126	36	)	)	PUNCT
ajst-30181	126	37	are	be	AUX
ajst-30181	126	38	used	use	VERB
ajst-30181	126	39	as	as	ADP
ajst-30181	126	40	evaluation	evaluation	NOUN
ajst-30181	126	41	indexes	index	NOUN
ajst-30181	126	42	in	in	ADP
ajst-30181	126	43	this	this	DET
ajst-30181	126	44	section	section	NOUN
ajst-30181	126	45	.	.	PUNCT
ajst-30181	127	1	the	the	DET
ajst-30181	127	2	specific	specific	ADJ
ajst-30181	127	3	experimental	experimental	ADJ
ajst-30181	127	4	results	result	NOUN
ajst-30181	127	5	are	be	AUX
ajst-30181	127	6	shown	show	VERB
ajst-30181	127	7	in	in	ADP
ajst-30181	127	8	table	table	NOUN
ajst-30181	127	9	2	2	NUM
ajst-30181	127	10	and	and	CCONJ
ajst-30181	127	11	table	table	NOUN
ajst-30181	127	12	3	3	NUM
ajst-30181	127	13	:	:	PUNCT
ajst-30181	127	14	table	table	NOUN
ajst-30181	127	15	2	2	NUM
ajst-30181	127	16	.	.	PUNCT
ajst-30181	127	17	segmentation	segmentation	NOUN
ajst-30181	127	18	results	result	NOUN
ajst-30181	127	19	of	of	ADP
ajst-30181	127	20	various	various	ADJ
ajst-30181	127	21	models	model	NOUN
ajst-30181	127	22	on	on	ADP
ajst-30181	127	23	the	the	DET
ajst-30181	127	24	brats	brat	NOUN
ajst-30181	127	25	2019	2019	NUM
ajst-30181	127	26	dataset	dataset	NOUN
ajst-30181	127	27	(	(	PUNCT
ajst-30181	127	28	dice	dice	NOUN
ajst-30181	127	29	)	)	PUNCT
ajst-30181	127	30	.	.	PUNCT
ajst-30181	128	1	method	method	PROPN
ajst-30181	128	2	dice_wt	dice_wt	PROPN
ajst-30181	128	3	dice_tc	dice_tc	PROPN
ajst-30181	128	4	dice_et	dice_et	PROPN
ajst-30181	128	5	dice_ave	dice_ave	PROPN
ajst-30181	128	6	vnet	vnet	NOUN
ajst-30181	128	7	0.874	0.874	NUM
ajst-30181	128	8	0.883	0.883	NUM
ajst-30181	128	9	0.870	0.870	NUM
ajst-30181	128	10	0.875	0.875	NUM
ajst-30181	128	11	unetr	unetr	NOUN
ajst-30181	128	12	0.915	0.915	NUM
ajst-30181	128	13	0.895	0.895	NUM
ajst-30181	128	14	0.896	0.896	NUM
ajst-30181	128	15	0.902	0.902	NUM
ajst-30181	128	16	swin	swin	PROPN
ajst-30181	128	17	unetr	unetr	PROPN
ajst-30181	128	18	0.919	0.919	NUM
ajst-30181	128	19	0.899	0.899	NUM
ajst-30181	128	20	0.896	0.896	NUM
ajst-30181	128	21	0.905	0.905	NUM
ajst-30181	128	22	adhdc	adhdc	NOUN
ajst-30181	128	23	-	-	PUNCT
ajst-30181	128	24	net	net	NOUN
ajst-30181	128	25	0.785	0.785	NUM
ajst-30181	128	26	0.860	0.860	NUM
ajst-30181	128	27	0.834	0.834	NUM
ajst-30181	128	28	0.826	0.826	NUM
ajst-30181	128	29	transbts	transbt	NOUN
ajst-30181	128	30	0.827	0.827	NUM
ajst-30181	128	31	0.841	0.841	NUM
ajst-30181	128	32	0.839	0.839	NUM
ajst-30181	128	33	0.836	0.836	NUM
ajst-30181	128	34	mambaformer3d	mambaformer3d	NOUN
ajst-30181	128	35	0.917	0.917	NUM
ajst-30181	128	36	0.916	0.916	NUM
ajst-30181	128	37	0.911	0.911	NUM
ajst-30181	128	38	0.915	0.915	NUM
ajst-30181	128	39	table	table	NOUN
ajst-30181	128	40	3	3	NUM
ajst-30181	128	41	.	.	PUNCT
ajst-30181	128	42	segmentation	segmentation	NOUN
ajst-30181	128	43	results	result	NOUN
ajst-30181	128	44	of	of	ADP
ajst-30181	128	45	various	various	ADJ
ajst-30181	128	46	models	model	NOUN
ajst-30181	128	47	on	on	ADP
ajst-30181	128	48	the	the	DET
ajst-30181	128	49	brats	brat	NOUN
ajst-30181	128	50	2019	2019	NUM
ajst-30181	128	51	dataset	dataset	NOUN
ajst-30181	128	52	(	(	PUNCT
ajst-30181	128	53	hd95	hd95	PROPN
ajst-30181	128	54	)	)	PUNCT
ajst-30181	128	55	.	.	PUNCT
ajst-30181	129	1	method	method	VERB
ajst-30181	129	2	hd95_wt	hd95_wt	PROPN
ajst-30181	129	3	hd95_tc	hd95_tc	ADJ
ajst-30181	129	4	hd95_et	hd95_et	PROPN
ajst-30181	130	1	hd95_ave	hd95_ave	VERB
ajst-30181	130	2	vnet	vnet	NOUN
ajst-30181	130	3	6.453	6.453	NUM
ajst-30181	130	4	4.500	4.500	NUM
ajst-30181	130	5	2.490	2.490	NUM
ajst-30181	130	6	4.481	4.481	NUM
ajst-30181	130	7	unetr	unetr	NOUN
ajst-30181	130	8	5.322	5.322	NUM
ajst-30181	130	9	5.075	5.075	NUM
ajst-30181	130	10	2.626	2.626	NUM
ajst-30181	130	11	4.341	4.341	NUM
ajst-30181	130	12	swin	swin	PROPN
ajst-30181	130	13	unetr	unetr	PROPN
ajst-30181	130	14	4.465	4.465	NUM
ajst-30181	130	15	4.410	4.410	NUM
ajst-30181	130	16	3.149	3.149	NUM
ajst-30181	130	17	4.008	4.008	NUM
ajst-30181	130	18	adhdc	adhdc	NOUN
ajst-30181	130	19	-	-	PUNCT
ajst-30181	130	20	net	net	ADJ
ajst-30181	130	21	12.703	12.703	NUM
ajst-30181	130	22	10.072	10.072	NUM
ajst-30181	130	23	4.798	4.798	NUM
ajst-30181	130	24	9.191	9.191	NUM
ajst-30181	130	25	transbts	transbt	NOUN
ajst-30181	130	26	12.584	12.584	NUM
ajst-30181	130	27	16.852	16.852	NUM
ajst-30181	130	28	13.083	13.083	NUM
ajst-30181	130	29	14.173	14.173	NUM
ajst-30181	130	30	mambaformer3d	mambaformer3d	NOUN
ajst-30181	130	31	3.509	3.509	NUM
ajst-30181	130	32	3.276	3.276	NUM
ajst-30181	130	33	2.602	2.602	NUM
ajst-30181	130	34	3.129	3.129	NUM
ajst-30181	130	35	in	in	ADP
ajst-30181	130	36	table	table	NOUN
ajst-30181	130	37	2	2	NUM
ajst-30181	130	38	,	,	PUNCT
ajst-30181	130	39	the	the	DET
ajst-30181	130	40	dice	dice	NOUN
ajst-30181	130	41	coefficients	coefficient	NOUN
ajst-30181	130	42	of	of	ADP
ajst-30181	130	43	mambaformer3d	mambaformer3d	PROPN
ajst-30181	130	44	are	be	AUX
ajst-30181	130	45	0.917	0.917	NUM
ajst-30181	130	46	,	,	PUNCT
ajst-30181	130	47	0.916	0.916	NUM
ajst-30181	130	48	,	,	PUNCT
ajst-30181	130	49	and	and	CCONJ
ajst-30181	130	50	0.911	0.911	NUM
ajst-30181	130	51	in	in	ADP
ajst-30181	130	52	the	the	DET
ajst-30181	130	53	wt	wt	NOUN
ajst-30181	130	54	,	,	PUNCT
ajst-30181	130	55	tc	tc	NOUN
ajst-30181	130	56	,	,	PUNCT
ajst-30181	130	57	and	and	CCONJ
ajst-30181	130	58	et	et	NOUN
ajst-30181	130	59	regions	region	NOUN
ajst-30181	130	60	,	,	PUNCT
ajst-30181	130	61	respectively	respectively	ADV
ajst-30181	130	62	,	,	PUNCT
ajst-30181	130	63	with	with	ADP
ajst-30181	130	64	an	an	DET
ajst-30181	130	65	average	average	ADJ
ajst-30181	130	66	dice	dice	NOUN
ajst-30181	130	67	coefficient	coefficient	NOUN
ajst-30181	130	68	of	of	ADP
ajst-30181	130	69	0.915	0.915	NUM
ajst-30181	130	70	,	,	PUNCT
ajst-30181	130	71	which	which	PRON
ajst-30181	130	72	is	be	AUX
ajst-30181	130	73	significantly	significantly	ADV
ajst-30181	130	74	higher	high	ADJ
ajst-30181	130	75	than	than	ADP
ajst-30181	130	76	the	the	DET
ajst-30181	130	77	other	other	ADJ
ajst-30181	130	78	compared	compare	VERB
ajst-30181	130	79	methods	method	NOUN
ajst-30181	130	80	.	.	PUNCT
ajst-30181	131	1	compared	compare	VERB
ajst-30181	131	2	with	with	ADP
ajst-30181	131	3	vnet	vnet	NOUN
ajst-30181	131	4	,	,	PUNCT
ajst-30181	131	5	mambaformer3d	mambaformer3d	PROPN
ajst-30181	131	6	improves	improve	VERB
ajst-30181	131	7	the	the	DET
ajst-30181	131	8	dice	dice	NOUN
ajst-30181	131	9	values	value	NOUN
ajst-30181	131	10	in	in	ADP
ajst-30181	131	11	the	the	DET
ajst-30181	131	12	wt	wt	NOUN
ajst-30181	131	13	,	,	PUNCT
ajst-30181	131	14	tc	tc	PROPN
ajst-30181	131	15	and	and	CCONJ
ajst-30181	131	16	et	et	NOUN
ajst-30181	131	17	regions	region	NOUN
ajst-30181	131	18	by	by	ADP
ajst-30181	131	19	4.3	4.3	NUM
ajst-30181	131	20	%	%	NOUN
ajst-30181	131	21	,	,	PUNCT
ajst-30181	131	22	3.3	3.3	NUM
ajst-30181	131	23	%	%	NOUN
ajst-30181	131	24	and	and	CCONJ
ajst-30181	131	25	4.1	4.1	NUM
ajst-30181	131	26	%	%	NOUN
ajst-30181	131	27	,	,	PUNCT
ajst-30181	131	28	respectively	respectively	ADV
ajst-30181	131	29	.	.	PUNCT
ajst-30181	132	1	mambaformer3d	mambaformer3d	PROPN
ajst-30181	132	2	improves	improve	VERB
ajst-30181	132	3	the	the	DET
ajst-30181	132	4	average	average	ADJ
ajst-30181	132	5	dice	dice	NOUN
ajst-30181	132	6	value	value	NOUN
ajst-30181	132	7	by	by	ADP
ajst-30181	132	8	1.3	1.3	NUM
ajst-30181	132	9	%	%	NOUN
ajst-30181	132	10	compared	compare	VERB
ajst-30181	132	11	with	with	ADP
ajst-30181	132	12	unetr	unetr	PROPN
ajst-30181	132	13	.	.	PUNCT
ajst-30181	133	1	mambaformer3d	mambaformer3d	PROPN
ajst-30181	133	2	improves	improve	VERB
ajst-30181	133	3	the	the	DET
ajst-30181	133	4	average	average	ADJ
ajst-30181	133	5	dice	dice	NOUN
ajst-30181	133	6	value	value	NOUN
ajst-30181	133	7	by	by	ADP
ajst-30181	133	8	1.2	1.2	NUM
ajst-30181	133	9	%	%	NOUN
ajst-30181	133	10	compared	compare	VERB
ajst-30181	133	11	to	to	ADP
ajst-30181	133	12	swin	swin	PROPN
ajst-30181	133	13	unetr	unetr	PROPN
ajst-30181	133	14	.	.	PUNCT
ajst-30181	134	1	in	in	ADP
ajst-30181	134	2	table	table	NOUN
ajst-30181	134	3	3	3	NUM
ajst-30181	134	4	,	,	PUNCT
ajst-30181	134	5	mambaformer3d	mambaformer3d	PROPN
ajst-30181	134	6	also	also	ADV
ajst-30181	134	7	has	have	VERB
ajst-30181	134	8	a	a	DET
ajst-30181	134	9	significant	significant	ADJ
ajst-30181	134	10	advantage	advantage	NOUN
ajst-30181	134	11	in	in	ADP
ajst-30181	134	12	hd95	hd95	PROPN
ajst-30181	134	13	distance	distance	NOUN
ajst-30181	134	14	,	,	PUNCT
ajst-30181	134	15	especially	especially	ADV
ajst-30181	134	16	outperforming	outperform	VERB
ajst-30181	134	17	other	other	ADJ
ajst-30181	134	18	methods	method	NOUN
ajst-30181	134	19	in	in	ADP
ajst-30181	134	20	the	the	DET
ajst-30181	134	21	wt	wt	NOUN
ajst-30181	134	22	,	,	PUNCT
ajst-30181	134	23	tc	tc	NOUN
ajst-30181	134	24	and	and	CCONJ
ajst-30181	134	25	et	et	NOUN
ajst-30181	134	26	regions	region	NOUN
ajst-30181	134	27	.	.	PUNCT
ajst-30181	135	1	compared	compare	VERB
ajst-30181	135	2	with	with	ADP
ajst-30181	135	3	vnet	vnet	NOUN
ajst-30181	135	4	,	,	PUNCT
ajst-30181	135	5	mambaformer3d	mambaformer3d	PROPN
ajst-30181	135	6	reduces	reduce	VERB
ajst-30181	135	7	the	the	DET
ajst-30181	135	8	hd95	hd95	PROPN
ajst-30181	135	9	distance	distance	NOUN
ajst-30181	135	10	in	in	ADP
ajst-30181	135	11	the	the	DET
ajst-30181	135	12	wt	wt	NOUN
ajst-30181	135	13	,	,	PUNCT
ajst-30181	135	14	tc	tc	PROPN
ajst-30181	135	15	and	and	CCONJ
ajst-30181	135	16	et	et	NOUN
ajst-30181	135	17	regions	region	NOUN
ajst-30181	135	18	by	by	ADP
ajst-30181	135	19	2.944	2.944	NUM
ajst-30181	135	20	mm	mm	NOUN
ajst-30181	135	21	,	,	PUNCT
ajst-30181	135	22	1.224	1.224	NUM
ajst-30181	135	23	mm	mm	NOUN
ajst-30181	135	24	and	and	CCONJ
ajst-30181	135	25	0.112	0.112	NUM
ajst-30181	135	26	mm	mm	NOUN
ajst-30181	135	27	,	,	PUNCT
ajst-30181	135	28	respectively	respectively	ADV
ajst-30181	135	29	.	.	PUNCT
ajst-30181	136	1	compared	compare	VERB
ajst-30181	136	2	with	with	ADP
ajst-30181	136	3	unetr	unetr	PROPN
ajst-30181	136	4	,	,	PUNCT
ajst-30181	136	5	mambaformer3d	mambaformer3d	PROPN
ajst-30181	136	6	reduces	reduce	VERB
ajst-30181	136	7	the	the	DET
ajst-30181	136	8	hd95	hd95	PROPN
ajst-30181	136	9	distance	distance	NOUN
ajst-30181	136	10	in	in	ADP
ajst-30181	136	11	the	the	DET
ajst-30181	136	12	wt	wt	NOUN
ajst-30181	136	13	,	,	PUNCT
ajst-30181	136	14	tc	tc	PROPN
ajst-30181	136	15	and	and	CCONJ
ajst-30181	136	16	et	et	NOUN
ajst-30181	136	17	regions	region	NOUN
ajst-30181	136	18	by	by	ADP
ajst-30181	136	19	1.212	1.212	NUM
ajst-30181	136	20	mm	mm	NOUN
ajst-30181	136	21	,	,	PUNCT
ajst-30181	136	22	1.799	1.799	NUM
ajst-30181	136	23	mm	mm	NOUN
ajst-30181	136	24	and	and	CCONJ
ajst-30181	136	25	0.024	0.024	NUM
ajst-30181	136	26	mm	mm	NOUN
ajst-30181	136	27	.	.	PUNCT
ajst-30181	137	1	compared	compare	VERB
ajst-30181	137	2	with	with	ADP
ajst-30181	137	3	swin	swin	PROPN
ajst-30181	137	4	unetr	unetr	PROPN
ajst-30181	137	5	,	,	PUNCT
ajst-30181	137	6	the	the	DET
ajst-30181	137	7	hd95	hd95	PROPN
ajst-30181	137	8	distance	distance	NOUN
ajst-30181	137	9	of	of	ADP
ajst-30181	137	10	mambaformer3d	mambaformer3d	PROPN
ajst-30181	137	11	is	be	AUX
ajst-30181	137	12	reduced	reduce	VERB
ajst-30181	137	13	by	by	ADP
ajst-30181	137	14	0.956	0.956	NUM
ajst-30181	137	15	mm	mm	PROPN
ajst-30181	137	16	,	,	PUNCT
ajst-30181	137	17	1.134	1.134	NUM
ajst-30181	137	18	mm	mm	NOUN
ajst-30181	137	19	and	and	CCONJ
ajst-30181	137	20	0.547	0.547	NUM
ajst-30181	137	21	mm	mm	NOUN
ajst-30181	137	22	in	in	ADP
ajst-30181	137	23	the	the	DET
ajst-30181	137	24	wt	wt	NOUN
ajst-30181	137	25	,	,	PUNCT
ajst-30181	137	26	tc	tc	NOUN
ajst-30181	137	27	and	and	CCONJ
ajst-30181	137	28	et	et	NOUN
ajst-30181	137	29	regions	region	NOUN
ajst-30181	137	30	,	,	PUNCT
ajst-30181	137	31	respectively	respectively	ADV
ajst-30181	137	32	.	.	PUNCT
ajst-30181	138	1	3.5	3.5	NUM
ajst-30181	138	2	.	.	PUNCT
ajst-30181	138	3	visualization	visualization	NOUN
ajst-30181	138	4	as	as	SCONJ
ajst-30181	138	5	shown	show	VERB
ajst-30181	138	6	in	in	ADP
ajst-30181	138	7	figure	figure	NOUN
ajst-30181	138	8	5	5	NUM
ajst-30181	138	9	,	,	PUNCT
ajst-30181	138	10	this	this	DET
ajst-30181	138	11	paper	paper	NOUN
ajst-30181	138	12	compares	compare	VERB
ajst-30181	138	13	the	the	DET
ajst-30181	138	14	brain	brain	NOUN
ajst-30181	138	15	tumor	tumor	NOUN
ajst-30181	138	16	segmentation	segmentation	NOUN
ajst-30181	138	17	effect	effect	NOUN
ajst-30181	138	18	of	of	ADP
ajst-30181	138	19	mambaformer3d	mambaformer3d	PROPN
ajst-30181	138	20	with	with	ADP
ajst-30181	138	21	other	other	ADJ
ajst-30181	138	22	models	model	NOUN
ajst-30181	138	23	(	(	PUNCT
ajst-30181	138	24	vnet	vnet	NOUN
ajst-30181	138	25	,	,	PUNCT
ajst-30181	138	26	transbts	transbt	NOUN
ajst-30181	138	27	,	,	PUNCT
ajst-30181	138	28	swin	swin	PROPN
ajst-30181	138	29	unetr	unetr	PROPN
ajst-30181	138	30	,	,	PUNCT
ajst-30181	138	31	unetr	unetr	PROPN
ajst-30181	138	32	)	)	PUNCT
ajst-30181	138	33	on	on	ADP
ajst-30181	138	34	the	the	DET
ajst-30181	138	35	brats	brat	NOUN
ajst-30181	138	36	2019	2019	NUM
ajst-30181	138	37	dataset	dataset	NOUN
ajst-30181	138	38	using	use	VERB
ajst-30181	138	39	itk	itk	PROPN
ajst-30181	138	40	-	-	PUNCT
ajst-30181	138	41	snap	snap	NOUN
ajst-30181	138	42	visualization	visualization	NOUN
ajst-30181	138	43	software	software	NOUN
ajst-30181	138	44	.	.	PUNCT
ajst-30181	139	1	74	74	NUM
ajst-30181	139	2	figure	figure	NOUN
ajst-30181	139	3	5	5	NUM
ajst-30181	139	4	.	.	PUNCT
ajst-30181	139	5	comparison	comparison	NOUN
ajst-30181	139	6	of	of	ADP
ajst-30181	139	7	segmentation	segmentation	NOUN
ajst-30181	139	8	mask	mask	NOUN
ajst-30181	139	9	and	and	CCONJ
ajst-30181	139	10	label	label	NOUN
ajst-30181	139	11	mask	mask	NOUN
ajst-30181	139	12	for	for	ADP
ajst-30181	139	13	each	each	DET
ajst-30181	139	14	algorithm	algorithm	NOUN
ajst-30181	139	15	from	from	ADP
ajst-30181	139	16	the	the	DET
ajst-30181	139	17	comparison	comparison	NOUN
ajst-30181	139	18	of	of	ADP
ajst-30181	139	19	the	the	DET
ajst-30181	139	20	generated	generate	VERB
ajst-30181	139	21	masks	mask	NOUN
ajst-30181	139	22	in	in	ADP
ajst-30181	139	23	the	the	DET
ajst-30181	139	24	dotted	dotted	ADJ
ajst-30181	139	25	box	box	NOUN
ajst-30181	139	26	with	with	ADP
ajst-30181	139	27	the	the	DET
ajst-30181	139	28	ground	ground	NOUN
ajst-30181	139	29	truth	truth	NOUN
ajst-30181	139	30	mask	mask	NOUN
ajst-30181	139	31	(	(	PUNCT
ajst-30181	139	32	gt	gt	PROPN
ajst-30181	139	33	)	)	PUNCT
ajst-30181	139	34	,	,	PUNCT
ajst-30181	139	35	it	it	PRON
ajst-30181	139	36	is	be	AUX
ajst-30181	139	37	obvious	obvious	ADJ
ajst-30181	139	38	that	that	SCONJ
ajst-30181	139	39	mambaformer3d	mambaformer3d	PROPN
ajst-30181	139	40	outperforms	outperform	VERB
ajst-30181	139	41	the	the	DET
ajst-30181	139	42	other	other	ADJ
ajst-30181	139	43	models	model	NOUN
ajst-30181	139	44	in	in	ADP
ajst-30181	139	45	segmentation	segmentation	NOUN
ajst-30181	139	46	accuracy	accuracy	NOUN
ajst-30181	139	47	in	in	ADP
ajst-30181	139	48	several	several	ADJ
ajst-30181	139	49	brain	brain	NOUN
ajst-30181	139	50	tumor	tumor	NOUN
ajst-30181	139	51	regions	region	NOUN
ajst-30181	139	52	.	.	PUNCT
ajst-30181	140	1	especially	especially	ADV
ajst-30181	140	2	in	in	ADP
ajst-30181	140	3	the	the	DET
ajst-30181	140	4	tumor	tumor	NOUN
ajst-30181	140	5	and	and	CCONJ
ajst-30181	140	6	peri	peri	NOUN
ajst-30181	140	7	-	-	PUNCT
ajst-30181	140	8	tumor	tumor	NOUN
ajst-30181	140	9	edema	edema	NOUN
ajst-30181	140	10	regions	region	NOUN
ajst-30181	140	11	,	,	PUNCT
ajst-30181	140	12	mambaformer3d	mambaformer3d	PROPN
ajst-30181	140	13	is	be	AUX
ajst-30181	140	14	able	able	ADJ
ajst-30181	140	15	to	to	PART
ajst-30181	140	16	accurately	accurately	ADV
ajst-30181	140	17	capture	capture	VERB
ajst-30181	140	18	the	the	DET
ajst-30181	140	19	subtle	subtle	ADJ
ajst-30181	140	20	structures	structure	NOUN
ajst-30181	140	21	and	and	CCONJ
ajst-30181	140	22	boundaries	boundary	NOUN
ajst-30181	140	23	of	of	ADP
ajst-30181	140	24	the	the	DET
ajst-30181	140	25	tumor	tumor	NOUN
ajst-30181	140	26	,	,	PUNCT
ajst-30181	140	27	demonstrating	demonstrate	VERB
ajst-30181	140	28	its	its	PRON
ajst-30181	140	29	excellent	excellent	ADJ
ajst-30181	140	30	ability	ability	NOUN
ajst-30181	140	31	in	in	ADP
ajst-30181	140	32	handling	handle	VERB
ajst-30181	140	33	complex	complex	ADJ
ajst-30181	140	34	tumor	tumor	NOUN
ajst-30181	140	35	regions	region	NOUN
ajst-30181	140	36	.	.	PUNCT
ajst-30181	141	1	compared	compare	VERB
ajst-30181	141	2	with	with	ADP
ajst-30181	141	3	other	other	ADJ
ajst-30181	141	4	models	model	NOUN
ajst-30181	141	5	,	,	PUNCT
ajst-30181	141	6	mambaformer3d	mambaformer3d	PROPN
ajst-30181	141	7	is	be	AUX
ajst-30181	141	8	able	able	ADJ
ajst-30181	141	9	to	to	PART
ajst-30181	141	10	better	well	ADV
ajst-30181	141	11	maintain	maintain	VERB
ajst-30181	141	12	the	the	DET
ajst-30181	141	13	coherence	coherence	NOUN
ajst-30181	141	14	of	of	ADP
ajst-30181	141	15	tumor	tumor	NOUN
ajst-30181	141	16	boundaries	boundary	NOUN
ajst-30181	141	17	,	,	PUNCT
ajst-30181	141	18	avoiding	avoid	VERB
ajst-30181	141	19	region	region	NOUN
ajst-30181	141	20	breakage	breakage	NOUN
ajst-30181	141	21	or	or	CCONJ
ajst-30181	141	22	overlap	overlap	NOUN
ajst-30181	141	23	due	due	ADP
ajst-30181	141	24	to	to	ADP
ajst-30181	141	25	mis	mis	NOUN
ajst-30181	141	26	-	-	NOUN
ajst-30181	141	27	segmentation	segmentation	NOUN
ajst-30181	141	28	.	.	PUNCT
ajst-30181	142	1	in	in	ADP
ajst-30181	142	2	addition	addition	NOUN
ajst-30181	142	3	,	,	PUNCT
ajst-30181	142	4	mambaformer3d	mambaformer3d	PROPN
ajst-30181	142	5	is	be	AUX
ajst-30181	142	6	also	also	ADV
ajst-30181	142	7	more	more	ADV
ajst-30181	142	8	accurate	accurate	ADJ
ajst-30181	142	9	in	in	ADP
ajst-30181	142	10	segmenting	segment	VERB
ajst-30181	142	11	the	the	DET
ajst-30181	142	12	edema	edema	NOUN
ajst-30181	142	13	region	region	NOUN
ajst-30181	142	14	,	,	PUNCT
ajst-30181	142	15	especially	especially	ADV
ajst-30181	142	16	in	in	ADP
ajst-30181	142	17	the	the	DET
ajst-30181	142	18	transition	transition	NOUN
ajst-30181	142	19	area	area	NOUN
ajst-30181	142	20	between	between	ADP
ajst-30181	142	21	tumor	tumor	NOUN
ajst-30181	142	22	and	and	CCONJ
ajst-30181	142	23	edema	edema	NOUN
ajst-30181	142	24	,	,	PUNCT
ajst-30181	142	25	and	and	CCONJ
ajst-30181	142	26	is	be	AUX
ajst-30181	142	27	able	able	ADJ
ajst-30181	142	28	to	to	PART
ajst-30181	142	29	distinguish	distinguish	VERB
ajst-30181	142	30	these	these	DET
ajst-30181	142	31	regions	region	NOUN
ajst-30181	142	32	meticulously	meticulously	ADV
ajst-30181	142	33	,	,	PUNCT
ajst-30181	142	34	which	which	PRON
ajst-30181	142	35	demonstrates	demonstrate	VERB
ajst-30181	142	36	its	its	PRON
ajst-30181	142	37	outstanding	outstanding	ADJ
ajst-30181	142	38	advantages	advantage	NOUN
ajst-30181	142	39	in	in	ADP
ajst-30181	142	40	multimodal	multimodal	ADJ
ajst-30181	142	41	brain	brain	NOUN
ajst-30181	142	42	tumor	tumor	NOUN
ajst-30181	142	43	image	image	NOUN
ajst-30181	142	44	processing	processing	NOUN
ajst-30181	142	45	.	.	PUNCT
ajst-30181	143	1	these	these	DET
ajst-30181	143	2	results	result	NOUN
ajst-30181	143	3	show	show	VERB
ajst-30181	143	4	that	that	SCONJ
ajst-30181	143	5	mambaformer3d	mambaformer3d	PROPN
ajst-30181	143	6	can	can	AUX
ajst-30181	143	7	better	well	ADV
ajst-30181	143	8	cope	cope	VERB
ajst-30181	143	9	with	with	ADP
ajst-30181	143	10	the	the	DET
ajst-30181	143	11	complex	complex	ADJ
ajst-30181	143	12	scenarios	scenario	NOUN
ajst-30181	143	13	in	in	ADP
ajst-30181	143	14	brain	brain	NOUN
ajst-30181	143	15	tumor	tumor	NOUN
ajst-30181	143	16	segmentation	segmentation	NOUN
ajst-30181	143	17	tasks	task	NOUN
ajst-30181	143	18	,	,	PUNCT
ajst-30181	143	19	especially	especially	ADV
ajst-30181	143	20	in	in	ADP
ajst-30181	143	21	the	the	DET
ajst-30181	143	22	detail	detail	NOUN
ajst-30181	143	23	processing	processing	NOUN
ajst-30181	143	24	and	and	CCONJ
ajst-30181	143	25	accurate	accurate	ADJ
ajst-30181	143	26	positioning	positioning	NOUN
ajst-30181	143	27	of	of	ADP
ajst-30181	143	28	boundaries	boundary	NOUN
ajst-30181	143	29	,	,	PUNCT
ajst-30181	143	30	than	than	ADP
ajst-30181	143	31	other	other	ADJ
ajst-30181	143	32	existing	exist	VERB
ajst-30181	143	33	mainstream	mainstream	NOUN
ajst-30181	143	34	methods	method	NOUN
ajst-30181	143	35	.	.	PUNCT
ajst-30181	144	1	4	4	X
ajst-30181	144	2	.	.	X
ajst-30181	144	3	conclusions	conclusion	NOUN
ajst-30181	144	4	the	the	DET
ajst-30181	144	5	mambaformer3d	mambaformer3d	PROPN
ajst-30181	144	6	model	model	NOUN
ajst-30181	144	7	proposed	propose	VERB
ajst-30181	144	8	in	in	ADP
ajst-30181	144	9	this	this	DET
ajst-30181	144	10	paper	paper	NOUN
ajst-30181	144	11	successfully	successfully	ADV
ajst-30181	144	12	combines	combine	VERB
ajst-30181	144	13	the	the	DET
ajst-30181	144	14	selective	selective	ADJ
ajst-30181	144	15	state	state	NOUN
ajst-30181	144	16	-	-	PUNCT
ajst-30181	144	17	space	space	NOUN
ajst-30181	144	18	model	model	NOUN
ajst-30181	144	19	(	(	PUNCT
ajst-30181	144	20	ssm	ssm	PROPN
ajst-30181	144	21	)	)	PUNCT
ajst-30181	144	22	with	with	ADP
ajst-30181	144	23	the	the	DET
ajst-30181	144	24	linear	linear	ADJ
ajst-30181	144	25	attention	attention	NOUN
ajst-30181	144	26	mechanism	mechanism	NOUN
ajst-30181	144	27	to	to	PART
ajst-30181	144	28	achieve	achieve	VERB
ajst-30181	144	29	both	both	DET
ajst-30181	144	30	longrange	longrange	NOUN
ajst-30181	144	31	dependency	dependency	NOUN
ajst-30181	144	32	modeling	modeling	NOUN
ajst-30181	144	33	and	and	CCONJ
ajst-30181	144	34	optimize	optimize	VERB
ajst-30181	144	35	the	the	DET
ajst-30181	144	36	computational	computational	ADJ
ajst-30181	144	37	complexity	complexity	NOUN
ajst-30181	144	38	.	.	PUNCT
ajst-30181	145	1	through	through	ADP
ajst-30181	145	2	the	the	DET
ajst-30181	145	3	synergy	synergy	NOUN
ajst-30181	145	4	of	of	ADP
ajst-30181	145	5	malr	malr	PROPN
ajst-30181	145	6	and	and	CCONJ
ajst-30181	145	7	lma	lma	PROPN
ajst-30181	145	8	modules	module	NOUN
ajst-30181	145	9	,	,	PUNCT
ajst-30181	145	10	mambaformer3d	mambaformer3d	PROPN
ajst-30181	145	11	significantly	significantly	ADV
ajst-30181	145	12	improves	improve	VERB
ajst-30181	145	13	the	the	DET
ajst-30181	145	14	performance	performance	NOUN
ajst-30181	145	15	of	of	ADP
ajst-30181	145	16	medical	medical	ADJ
ajst-30181	145	17	image	image	NOUN
ajst-30181	145	18	segmentation	segmentation	NOUN
ajst-30181	145	19	tasks	task	NOUN
ajst-30181	145	20	,	,	PUNCT
ajst-30181	145	21	especially	especially	ADV
ajst-30181	145	22	in	in	ADP
ajst-30181	145	23	brain	brain	NOUN
ajst-30181	145	24	tumor	tumor	NOUN
ajst-30181	145	25	segmentation	segmentation	NOUN
ajst-30181	145	26	,	,	PUNCT
ajst-30181	145	27	while	while	SCONJ
ajst-30181	145	28	ensuring	ensure	VERB
ajst-30181	145	29	high	high	ADJ
ajst-30181	145	30	efficiency	efficiency	NOUN
ajst-30181	145	31	.	.	PUNCT
ajst-30181	146	1	the	the	DET
ajst-30181	146	2	experimental	experimental	ADJ
ajst-30181	146	3	results	result	NOUN
ajst-30181	146	4	show	show	VERB
ajst-30181	146	5	that	that	SCONJ
ajst-30181	146	6	mambaformer3d	mambaformer3d	PROPN
ajst-30181	146	7	has	have	VERB
ajst-30181	146	8	excellent	excellent	ADJ
ajst-30181	146	9	performance	performance	NOUN
ajst-30181	146	10	in	in	ADP
ajst-30181	146	11	the	the	DET
ajst-30181	146	12	processing	processing	NOUN
ajst-30181	146	13	of	of	ADP
ajst-30181	146	14	multimodal	multimodal	NOUN
ajst-30181	146	15	mri	mri	NOUN
ajst-30181	146	16	data	datum	NOUN
ajst-30181	146	17	and	and	CCONJ
ajst-30181	146	18	exhibits	exhibit	VERB
ajst-30181	146	19	greater	great	ADJ
ajst-30181	146	20	potential	potential	NOUN
ajst-30181	146	21	in	in	ADP
ajst-30181	146	22	environments	environment	NOUN
ajst-30181	146	23	with	with	ADP
ajst-30181	146	24	limited	limited	ADJ
ajst-30181	146	25	computational	computational	ADJ
ajst-30181	146	26	resources	resource	NOUN
ajst-30181	146	27	.	.	PUNCT
ajst-30181	147	1	acknowledgements	acknowledgement	NOUN
ajst-30181	147	2	key	key	ADJ
ajst-30181	147	3	scientific	scientific	ADJ
ajst-30181	147	4	and	and	CCONJ
ajst-30181	147	5	technological	technological	ADJ
ajst-30181	147	6	projects	project	NOUN
ajst-30181	147	7	in	in	ADP
ajst-30181	147	8	henan	henan	PROPN
ajst-30181	147	9	province	province	PROPN
ajst-30181	147	10	(	(	PUNCT
ajst-30181	147	11	242102211042	242102211042	NUM
ajst-30181	147	12	)	)	PUNCT
ajst-30181	147	13	doctoral	doctoral	ADJ
ajst-30181	147	14	fund	fund	NOUN
ajst-30181	147	15	project	project	NOUN
ajst-30181	147	16	of	of	ADP
ajst-30181	147	17	henan	henan	PROPN
ajst-30181	147	18	polytechnic	polytechnic	PROPN
ajst-30181	147	19	university	university	PROPN
ajst-30181	147	20	(	(	PUNCT
ajst-30181	147	21	b2022	b2022	NOUN
ajst-30181	147	22	-	-	SYM
ajst-30181	147	23	14	14	NUM
ajst-30181	147	24	)	)	PUNCT
ajst-30181	147	25	references	reference	NOUN
ajst-30181	147	26	[	[	X
ajst-30181	148	1	1	1	NUM
ajst-30181	148	2	]	]	X
ajst-30181	148	3	ramesh	ramesh	PROPN
ajst-30181	148	4	k	k	PROPN
ajst-30181	148	5	k	k	PROPN
ajst-30181	148	6	d	d	PROPN
ajst-30181	148	7	,	,	PUNCT
ajst-30181	148	8	kumar	kumar	PROPN
ajst-30181	148	9	g	g	PROPN
ajst-30181	148	10	k	k	PROPN
ajst-30181	148	11	,	,	PUNCT
ajst-30181	148	12	swapna	swapna	PROPN
ajst-30181	148	13	k	k	PROPN
ajst-30181	148	14	,	,	PUNCT
ajst-30181	148	15	et	et	PROPN
ajst-30181	148	16	al	al	PROPN
ajst-30181	148	17	.	.	PUNCT
ajst-30181	149	1	a	a	DET
ajst-30181	149	2	review	review	NOUN
ajst-30181	149	3	of	of	ADP
ajst-30181	149	4	medical	medical	ADJ
ajst-30181	149	5	image	image	NOUN
ajst-30181	149	6	segmentation	segmentation	NOUN
ajst-30181	149	7	algorithms[j	algorithms[j	PROPN
ajst-30181	149	8	]	]	X
ajst-30181	149	9	.	.	PUNCT
ajst-30181	150	1	eai	eai	PROPN
ajst-30181	150	2	endorsed	endorse	VERB
ajst-30181	150	3	transactions	transaction	NOUN
ajst-30181	150	4	on	on	ADP
ajst-30181	150	5	pervasive	pervasive	ADJ
ajst-30181	150	6	health	health	PROPN
ajst-30181	150	7	&	&	CCONJ
ajst-30181	150	8	technology	technology	PROPN
ajst-30181	150	9	,	,	PUNCT
ajst-30181	150	10	2021	2021	NUM
ajst-30181	150	11	,	,	PUNCT
ajst-30181	150	12	7(27	7(27	NUM
ajst-30181	150	13	)	)	PUNCT
ajst-30181	150	14	.	.	PUNCT
ajst-30181	151	1	[	[	X
ajst-30181	151	2	2	2	X
ajst-30181	151	3	]	]	X
ajst-30181	151	4	abidin	abidin	PROPN
ajst-30181	151	5	z	z	PROPN
ajst-30181	151	6	u	u	PROPN
ajst-30181	151	7	,	,	PUNCT
ajst-30181	151	8	naqvi	naqvi	PROPN
ajst-30181	151	9	r	r	PROPN
ajst-30181	151	10	a	a	PROPN
ajst-30181	151	11	,	,	PUNCT
ajst-30181	151	12	haider	haider	PROPN
ajst-30181	151	13	a	a	PRON
ajst-30181	151	14	,	,	PUNCT
ajst-30181	151	15	et	et	PROPN
ajst-30181	151	16	al	al	PROPN
ajst-30181	151	17	.	.	PUNCT
ajst-30181	152	1	recent	recent	ADJ
ajst-30181	152	2	deep	deep	ADJ
ajst-30181	152	3	learningbased	learningbased	ADJ
ajst-30181	152	4	brain	brain	NOUN
ajst-30181	152	5	tumor	tumor	NOUN
ajst-30181	152	6	segmentation	segmentation	NOUN
ajst-30181	152	7	models	model	NOUN
ajst-30181	152	8	using	use	VERB
ajst-30181	152	9	multi	multi	ADJ
ajst-30181	152	10	-	-	ADJ
ajst-30181	152	11	modality	modality	ADJ
ajst-30181	152	12	magnetic	magnetic	ADJ
ajst-30181	152	13	resonance	resonance	NOUN
ajst-30181	152	14	imaging	imaging	NOUN
ajst-30181	152	15	:	:	PUNCT
ajst-30181	152	16	a	a	DET
ajst-30181	152	17	prospective	prospective	ADJ
ajst-30181	152	18	survey[j	survey[j	NOUN
ajst-30181	152	19	]	]	PUNCT
ajst-30181	152	20	.	.	PUNCT
ajst-30181	153	1	frontiers	frontier	NOUN
ajst-30181	153	2	in	in	ADP
ajst-30181	153	3	bioengineering	bioengineering	NOUN
ajst-30181	153	4	and	and	CCONJ
ajst-30181	153	5	biotechnology	biotechnology	NOUN
ajst-30181	153	6	,	,	PUNCT
ajst-30181	153	7	2024	2024	NUM
ajst-30181	153	8	,	,	PUNCT
ajst-30181	153	9	12	12	NUM
ajst-30181	153	10	:	:	SYM
ajst-30181	153	11	1392807	1392807	NUM
ajst-30181	153	12	.	.	PUNCT
ajst-30181	154	1	[	[	X
ajst-30181	154	2	3	3	X
ajst-30181	154	3	]	]	X
ajst-30181	154	4	zhang	zhang	PROPN
ajst-30181	154	5	s	s	PROPN
ajst-30181	154	6	,	,	PUNCT
ajst-30181	154	7	edwards	edwards	PROPN
ajst-30181	154	8	a	a	PROPN
ajst-30181	154	9	,	,	PUNCT
ajst-30181	154	10	wang	wang	PROPN
ajst-30181	154	11	s	s	PROPN
ajst-30181	154	12	,	,	PUNCT
ajst-30181	154	13	et	et	PROPN
ajst-30181	154	14	al	al	PROPN
ajst-30181	154	15	.	.	PUNCT
ajst-30181	155	1	a	a	DET
ajst-30181	155	2	prior	prior	ADJ
ajst-30181	155	3	knowledge	knowledge	NOUN
ajst-30181	155	4	based	base	VERB
ajst-30181	155	5	tumor	tumor	NOUN
ajst-30181	155	6	and	and	CCONJ
ajst-30181	155	7	tumoral	tumoral	ADJ
ajst-30181	155	8	subregion	subregion	NOUN
ajst-30181	155	9	segmentation	segmentation	NOUN
ajst-30181	155	10	tool	tool	NOUN
ajst-30181	155	11	for	for	ADP
ajst-30181	155	12	pediatric	pediatric	ADJ
ajst-30181	155	13	brain	brain	NOUN
ajst-30181	155	14	tumors[j	tumors[j	NOUN
ajst-30181	155	15	]	]	PUNCT
ajst-30181	155	16	.	.	PUNCT
ajst-30181	156	1	arxiv	arxiv	PROPN
ajst-30181	156	2	preprint	preprint	PROPN
ajst-30181	156	3	arxiv:2109.14775	arxiv:2109.14775	NOUN
ajst-30181	156	4	,	,	PUNCT
ajst-30181	156	5	2021	2021	NUM
ajst-30181	156	6	.	.	PUNCT
ajst-30181	157	1	[	[	X
ajst-30181	157	2	4	4	NUM
ajst-30181	157	3	]	]	PUNCT
ajst-30181	157	4	kaifi	kaifi	PROPN
ajst-30181	157	5	r.	r.	PROPN
ajst-30181	157	6	a	a	DET
ajst-30181	157	7	review	review	NOUN
ajst-30181	157	8	of	of	ADP
ajst-30181	157	9	recent	recent	ADJ
ajst-30181	157	10	advances	advance	NOUN
ajst-30181	157	11	in	in	ADP
ajst-30181	157	12	brain	brain	NOUN
ajst-30181	157	13	tumor	tumor	NOUN
ajst-30181	157	14	diagnosis	diagnosis	NOUN
ajst-30181	157	15	based	base	VERB
ajst-30181	157	16	on	on	ADP
ajst-30181	157	17	ai	ai	NOUN
ajst-30181	157	18	-	-	PUNCT
ajst-30181	157	19	based	base	VERB
ajst-30181	157	20	classification[j	classification[j	NOUN
ajst-30181	157	21	]	]	PUNCT
ajst-30181	157	22	.	.	PUNCT
ajst-30181	158	1	diagnostics	diagnostic	NOUN
ajst-30181	158	2	,	,	PUNCT
ajst-30181	158	3	2023	2023	NUM
ajst-30181	158	4	,	,	PUNCT
ajst-30181	158	5	13(18	13(18	NUM
ajst-30181	158	6	):	):	PUNCT
ajst-30181	158	7	3007	3007	NUM
ajst-30181	158	8	.	.	PUNCT
ajst-30181	159	1	[	[	X
ajst-30181	159	2	5	5	NUM
ajst-30181	159	3	]	]	X
ajst-30181	159	4	malmer	malmer	PROPN
ajst-30181	159	5	b	b	PROPN
ajst-30181	159	6	,	,	PUNCT
ajst-30181	159	7	henriksson	henriksson	NOUN
ajst-30181	159	8	r	r	NOUN
ajst-30181	159	9	,	,	PUNCT
ajst-30181	159	10	grönberg	grönberg	PROPN
ajst-30181	159	11	h.	h.	PROPN
ajst-30181	159	12	different	different	ADJ
ajst-30181	159	13	aetiology	aetiology	NOUN
ajst-30181	159	14	of	of	ADP
ajst-30181	159	15	familial	familial	ADJ
ajst-30181	159	16	low	low	ADJ
ajst-30181	159	17	-	-	PUNCT
ajst-30181	159	18	grade	grade	NOUN
ajst-30181	159	19	and	and	CCONJ
ajst-30181	159	20	high	high	ADJ
ajst-30181	159	21	-	-	PUNCT
ajst-30181	159	22	grade	grade	NOUN
ajst-30181	159	23	glioma	glioma	NOUN
ajst-30181	159	24	?	?	PUNCT
ajst-30181	160	1	a	a	DET
ajst-30181	160	2	nationwide	nationwide	ADJ
ajst-30181	160	3	cohort	cohort	NOUN
ajst-30181	160	4	study	study	NOUN
ajst-30181	160	5	of	of	ADP
ajst-30181	160	6	familial	familial	ADJ
ajst-30181	160	7	glioma[j	glioma[j	NOUN
ajst-30181	160	8	]	]	PUNCT
ajst-30181	160	9	.	.	PUNCT
ajst-30181	161	1	neuroepidemiology	neuroepidemiology	PROPN
ajst-30181	161	2	,	,	PUNCT
ajst-30181	161	3	2002	2002	NUM
ajst-30181	161	4	,	,	PUNCT
ajst-30181	161	5	21(6	21(6	NUM
ajst-30181	161	6	):	):	PUNCT
ajst-30181	161	7	279	279	NUM
ajst-30181	161	8	-	-	SYM
ajst-30181	161	9	286	286	NUM
ajst-30181	161	10	.	.	PUNCT
ajst-30181	162	1	[	[	X
ajst-30181	162	2	6	6	NUM
ajst-30181	162	3	]	]	X
ajst-30181	162	4	zhang	zhang	PROPN
ajst-30181	162	5	w	w	PROPN
ajst-30181	162	6	,	,	PUNCT
ajst-30181	162	7	wu	wu	PROPN
ajst-30181	162	8	y	y	PROPN
ajst-30181	162	9	,	,	PUNCT
ajst-30181	162	10	yang	yang	PROPN
ajst-30181	162	11	b	b	PROPN
ajst-30181	162	12	,	,	PUNCT
ajst-30181	162	13	et	et	PROPN
ajst-30181	162	14	al	al	PROPN
ajst-30181	162	15	.	.	PROPN
ajst-30181	162	16	overview	overview	NOUN
ajst-30181	162	17	of	of	ADP
ajst-30181	162	18	multi	multi	ADJ
ajst-30181	162	19	-	-	ADJ
ajst-30181	162	20	modal	modal	ADJ
ajst-30181	162	21	brain	brain	NOUN
ajst-30181	162	22	tumor	tumor	NOUN
ajst-30181	162	23	mr	mr	PROPN
ajst-30181	162	24	image	image	PROPN
ajst-30181	162	25	segmentation[c]//healthcare	segmentation[c]//healthcare	PROPN
ajst-30181	162	26	.	.	PUNCT
ajst-30181	163	1	mdpi	mdpi	PROPN
ajst-30181	163	2	,	,	PUNCT
ajst-30181	163	3	2021	2021	NUM
ajst-30181	163	4	,	,	PUNCT
ajst-30181	163	5	9(8	9(8	NUM
ajst-30181	163	6	):	):	PUNCT
ajst-30181	163	7	1051	1051	NUM
ajst-30181	163	8	.	.	PUNCT
ajst-30181	164	1	75	75	NUM
ajst-30181	165	1	[	[	X
ajst-30181	165	2	7	7	NUM
ajst-30181	165	3	]	]	X
ajst-30181	165	4	o'shea	o'shea	PROPN
ajst-30181	165	5	k	k	PROPN
ajst-30181	165	6	,	,	PUNCT
ajst-30181	165	7	nash	nash	PROPN
ajst-30181	165	8	r.	r.	PROPN
ajst-30181	165	9	an	an	DET
ajst-30181	165	10	introduction	introduction	NOUN
ajst-30181	165	11	to	to	ADP
ajst-30181	165	12	convolutional	convolutional	ADJ
ajst-30181	165	13	neural	neural	ADJ
ajst-30181	165	14	networks[j	networks[j	NOUN
ajst-30181	165	15	]	]	PUNCT
ajst-30181	165	16	.	.	PUNCT
ajst-30181	166	1	arxiv	arxiv	PROPN
ajst-30181	166	2	preprint	preprint	VERB
ajst-30181	166	3	arxiv:1511.08458	arxiv:1511.08458	PROPN
ajst-30181	166	4	,	,	PUNCT
ajst-30181	166	5	2015	2015	NUM
ajst-30181	166	6	.	.	PUNCT
ajst-30181	167	1	[	[	X
ajst-30181	167	2	8	8	NUM
ajst-30181	167	3	]	]	SYM
ajst-30181	167	4	ronneberger	ronneberger	NOUN
ajst-30181	167	5	,	,	PUNCT
ajst-30181	167	6	olaf	olaf	PROPN
ajst-30181	167	7	et	et	PROPN
ajst-30181	167	8	al	al	PROPN
ajst-30181	167	9	.	.	PUNCT
ajst-30181	168	1	“	"	PUNCT
ajst-30181	168	2	u	u	NOUN
ajst-30181	168	3	-	-	NOUN
ajst-30181	168	4	net	net	ADJ
ajst-30181	168	5	:	:	PUNCT
ajst-30181	168	6	convolutional	convolutional	ADJ
ajst-30181	168	7	networks	network	NOUN
ajst-30181	168	8	for	for	ADP
ajst-30181	168	9	biomedical	biomedical	ADJ
ajst-30181	168	10	image	image	NOUN
ajst-30181	168	11	segmentation	segmentation	NOUN
ajst-30181	168	12	.	.	PUNCT
ajst-30181	168	13	”	"	PUNCT
ajst-30181	169	1	arxiv	arxiv	PROPN
ajst-30181	169	2	abs/1505.04597	abs/1505.04597	PROPN
ajst-30181	169	3	(	(	PUNCT
ajst-30181	169	4	2015	2015	NUM
ajst-30181	169	5	):	):	PUNCT
ajst-30181	169	6	n.	n.	PROPN
ajst-30181	169	7	pag	pag	PROPN
ajst-30181	169	8	.	.	PUNCT
ajst-30181	170	1	[	[	X
ajst-30181	170	2	9	9	NUM
ajst-30181	170	3	]	]	X
ajst-30181	170	4	milletari	milletari	PROPN
ajst-30181	170	5	f	f	PROPN
ajst-30181	170	6	,	,	PUNCT
ajst-30181	170	7	navab	navab	PROPN
ajst-30181	170	8	n	n	PROPN
ajst-30181	170	9	,	,	PUNCT
ajst-30181	170	10	ahmadi	ahmadi	PROPN
ajst-30181	170	11	s	s	PROPN
ajst-30181	170	12	a.	a.	NOUN
ajst-30181	170	13	v	v	NOUN
ajst-30181	170	14	-	-	PUNCT
ajst-30181	170	15	net	net	NOUN
ajst-30181	170	16	:	:	PUNCT
ajst-30181	170	17	fully	fully	ADV
ajst-30181	170	18	convolutional	convolutional	ADJ
ajst-30181	170	19	neural	neural	ADJ
ajst-30181	170	20	networks	network	NOUN
ajst-30181	170	21	for	for	ADP
ajst-30181	170	22	volumetric	volumetric	ADJ
ajst-30181	170	23	medical	medical	ADJ
ajst-30181	170	24	image	image	NOUN
ajst-30181	170	25	segmentation[c]//2016	segmentation[c]//2016	PROPN
ajst-30181	170	26	fourth	fourth	ADJ
ajst-30181	170	27	international	international	ADJ
ajst-30181	170	28	conference	conference	NOUN
ajst-30181	170	29	on	on	ADP
ajst-30181	170	30	3d	3d	PROPN
ajst-30181	170	31	vision	vision	NOUN
ajst-30181	170	32	(	(	PUNCT
ajst-30181	170	33	3dv	3dv	NOUN
ajst-30181	170	34	)	)	PUNCT
ajst-30181	170	35	.	.	PUNCT
ajst-30181	171	1	ieee	ieee	PROPN
ajst-30181	171	2	,	,	PUNCT
ajst-30181	171	3	2016	2016	NUM
ajst-30181	171	4	:	:	PUNCT
ajst-30181	171	5	565	565	NUM
ajst-30181	171	6	-	-	SYM
ajst-30181	171	7	571	571	NUM
ajst-30181	171	8	.	.	PUNCT
ajst-30181	172	1	[	[	X
ajst-30181	172	2	10	10	NUM
ajst-30181	172	3	]	]	X
ajst-30181	172	4	oktay	oktay	PROPN
ajst-30181	172	5	o	o	PROPN
ajst-30181	172	6	,	,	PUNCT
ajst-30181	172	7	schlemper	schlemper	PROPN
ajst-30181	172	8	j	j	PROPN
ajst-30181	172	9	,	,	PUNCT
ajst-30181	172	10	folgoc	folgoc	PROPN
ajst-30181	172	11	l	l	PROPN
ajst-30181	172	12	l	l	PROPN
ajst-30181	172	13	,	,	PUNCT
ajst-30181	172	14	et	et	PROPN
ajst-30181	172	15	al	al	PROPN
ajst-30181	172	16	.	.	PUNCT
ajst-30181	173	1	attention	attention	PROPN
ajst-30181	173	2	u	u	NOUN
ajst-30181	173	3	-	-	NOUN
ajst-30181	173	4	net	net	ADJ
ajst-30181	173	5	:	:	PUNCT
ajst-30181	173	6	learning	learn	VERB
ajst-30181	173	7	where	where	SCONJ
ajst-30181	173	8	to	to	PART
ajst-30181	173	9	look	look	VERB
ajst-30181	173	10	for	for	ADP
ajst-30181	173	11	the	the	DET
ajst-30181	173	12	pancreas[j	pancreas[j	NOUN
ajst-30181	173	13	]	]	X
ajst-30181	173	14	.	.	PUNCT
ajst-30181	174	1	arxiv	arxiv	PROPN
ajst-30181	174	2	preprint	preprint	NOUN
ajst-30181	174	3	arxiv:1804.03999	arxiv:1804.03999	NOUN
ajst-30181	174	4	,	,	PUNCT
ajst-30181	174	5	2018	2018	NUM
ajst-30181	174	6	.	.	PUNCT
ajst-30181	175	1	[	[	X
ajst-30181	175	2	11	11	NUM
ajst-30181	175	3	]	]	PUNCT
ajst-30181	175	4	vaswani	vaswani	NOUN
ajst-30181	175	5	a	a	PRON
ajst-30181	175	6	,	,	PUNCT
ajst-30181	175	7	shazeer	shazeer	NOUN
ajst-30181	175	8	n	n	SYM
ajst-30181	175	9	,	,	PUNCT
ajst-30181	175	10	parmar	parmar	PROPN
ajst-30181	175	11	n	n	CCONJ
ajst-30181	175	12	,	,	PUNCT
ajst-30181	175	13	et	et	PROPN
ajst-30181	175	14	al	al	PROPN
ajst-30181	175	15	.	.	PUNCT
ajst-30181	175	16	attention	attention	NOUN
ajst-30181	175	17	is	be	AUX
ajst-30181	175	18	all	all	PRON
ajst-30181	175	19	you	you	PRON
ajst-30181	175	20	need[j	need[j	VERB
ajst-30181	175	21	]	]	PUNCT
ajst-30181	175	22	.	.	PUNCT
ajst-30181	176	1	advances	advance	NOUN
ajst-30181	176	2	in	in	ADP
ajst-30181	176	3	neural	neural	ADJ
ajst-30181	176	4	information	information	NOUN
ajst-30181	176	5	processing	processing	NOUN
ajst-30181	176	6	systems	system	NOUN
ajst-30181	176	7	,	,	PUNCT
ajst-30181	176	8	2017	2017	NUM
ajst-30181	176	9	,	,	PUNCT
ajst-30181	176	10	30	30	NUM
ajst-30181	176	11	.	.	PUNCT
ajst-30181	177	1	[	[	X
ajst-30181	177	2	12	12	NUM
ajst-30181	177	3	]	]	X
ajst-30181	177	4	gu	gu	NOUN
ajst-30181	177	5	a	a	PROPN
ajst-30181	177	6	,	,	PUNCT
ajst-30181	177	7	dao	dao	PROPN
ajst-30181	177	8	t.	t.	PROPN
ajst-30181	177	9	mamba	mamba	PROPN
ajst-30181	177	10	:	:	PUNCT
ajst-30181	177	11	linear	linear	ADJ
ajst-30181	177	12	-	-	PUNCT
ajst-30181	177	13	time	time	NOUN
ajst-30181	177	14	sequence	sequence	NOUN
ajst-30181	177	15	modeling	modeling	NOUN
ajst-30181	177	16	with	with	ADP
ajst-30181	177	17	selective	selective	ADJ
ajst-30181	177	18	state	state	NOUN
ajst-30181	177	19	spaces[j	spaces[j	NOUN
ajst-30181	177	20	]	]	PUNCT
ajst-30181	177	21	.	.	PUNCT
ajst-30181	178	1	arxiv	arxiv	PROPN
ajst-30181	178	2	preprint	preprint	PROPN
ajst-30181	178	3	arxiv:2312.00752	arxiv:2312.00752	ADV
ajst-30181	178	4	,	,	PUNCT
ajst-30181	178	5	2023	2023	NUM
ajst-30181	178	6	.	.	PUNCT
ajst-30181	179	1	[	[	X
ajst-30181	179	2	13	13	NUM
ajst-30181	179	3	]	]	SYM
ajst-30181	179	4	ma	ma	PROPN
ajst-30181	179	5	j	j	PROPN
ajst-30181	179	6	,	,	PUNCT
ajst-30181	179	7	li	li	PROPN
ajst-30181	179	8	f	f	PROPN
ajst-30181	179	9	,	,	PUNCT
ajst-30181	179	10	wang	wang	PROPN
ajst-30181	179	11	b.	b.	PROPN
ajst-30181	179	12	u	u	PROPN
ajst-30181	179	13	-	-	NOUN
ajst-30181	179	14	mamba	mamba	NOUN
ajst-30181	179	15	:	:	PUNCT
ajst-30181	179	16	enhancing	enhance	VERB
ajst-30181	179	17	long	long	ADJ
ajst-30181	179	18	-	-	PUNCT
ajst-30181	179	19	range	range	NOUN
ajst-30181	179	20	dependency	dependency	NOUN
ajst-30181	179	21	for	for	ADP
ajst-30181	179	22	biomedical	biomedical	ADJ
ajst-30181	179	23	image	image	NOUN
ajst-30181	179	24	segmentation[j	segmentation[j	PROPN
ajst-30181	179	25	]	]	PUNCT
ajst-30181	179	26	.	.	PUNCT
ajst-30181	180	1	arxiv	arxiv	PROPN
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ajst-30181	181	15	:	:	PUNCT
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ajst-30181	192	34	.	.	PUNCT
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