id	sid	tid	token	lemma	pos
cana-3715	1	1	communications	communication	NOUN
cana-3715	1	2	on	on	ADP
cana-3715	1	3	applied	apply	VERB
cana-3715	1	4	nonlinear	nonlinear	ADJ
cana-3715	1	5	analysis	analysis	NOUN
cana-3715	1	6	issn	issn	NOUN
cana-3715	1	7	:	:	PUNCT
cana-3715	1	8	1074	1074	NUM
cana-3715	1	9	-	-	PUNCT
cana-3715	1	10	133x	133x	NUM
cana-3715	1	11	vol	vol	NOUN
cana-3715	1	12	32	32	NUM
cana-3715	1	13	no	no	NOUN
cana-3715	1	14	.	.	PUNCT
cana-3715	2	1	8s	8s	PROPN
cana-3715	2	2	(	(	PUNCT
cana-3715	2	3	2025	2025	NUM
cana-3715	2	4	)	)	PUNCT
cana-3715	2	5	537	537	NUM
cana-3715	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3715	2	7	enhancing	enhance	VERB
cana-3715	2	8	gastrointestinal	gastrointestinal	ADJ
cana-3715	2	9	disease	disease	NOUN
cana-3715	2	10	detection	detection	NOUN
cana-3715	2	11	through	through	ADP
cana-3715	2	12	augmented	augment	VERB
cana-3715	2	13	deep	deep	ADJ
cana-3715	2	14	learning	learning	PROPN
cana-3715	2	15	rakesh	rakesh	PROPN
cana-3715	2	16	sharma1	sharma1	PROPN
cana-3715	2	17	,	,	PUNCT
cana-3715	2	18	c	c	PROPN
cana-3715	2	19	s	s	PROPN
cana-3715	2	20	lamba2	lamba2	PROPN
cana-3715	2	21	1manipal	1manipal	NUM
cana-3715	2	22	university	university	NOUN
cana-3715	2	23	jaipur	jaipur	NOUN
cana-3715	2	24	,	,	PUNCT
cana-3715	2	25	jaipur	jaipur	PROPN
cana-3715	2	26	,	,	PUNCT
cana-3715	2	27	india	india	PROPN
cana-3715	2	28	srak.911@gmail.com	srak.911@gmail.com	PROPN
cana-3715	2	29	2manipal	2manipal	NUM
cana-3715	2	30	university	university	NOUN
cana-3715	2	31	jaipur	jaipur	NOUN
cana-3715	2	32	,	,	PUNCT
cana-3715	2	33	jaipur	jaipur	PROPN
cana-3715	2	34	,	,	PUNCT
cana-3715	2	35	india	india	PROPN
cana-3715	2	36	cs.lamba@jaipur.manipal.edu	cs.lamba@jaipur.manipal.edu	PROPN
cana-3715	2	37	article	article	NOUN
cana-3715	2	38	history	history	NOUN
cana-3715	2	39	:	:	PUNCT
cana-3715	2	40	received	receive	VERB
cana-3715	2	41	:	:	PUNCT
cana-3715	2	42	04	04	NUM
cana-3715	2	43	-	-	SYM
cana-3715	2	44	11	11	NUM
cana-3715	2	45	-	-	PUNCT
cana-3715	2	46	2024	2024	NUM
cana-3715	2	47	revised	revise	VERB
cana-3715	2	48	:	:	PUNCT
cana-3715	2	49	11	11	NUM
cana-3715	2	50	-	-	SYM
cana-3715	2	51	12	12	NUM
cana-3715	2	52	-	-	PUNCT
cana-3715	2	53	2024	2024	NUM
cana-3715	2	54	published	publish	VERB
cana-3715	2	55	:	:	PUNCT
cana-3715	2	56	07	07	NUM
cana-3715	2	57	-	-	PUNCT
cana-3715	2	58	02	02	NUM
cana-3715	2	59	-	-	PUNCT
cana-3715	2	60	2025	2025	NUM
cana-3715	2	61	abstract	abstract	NOUN
cana-3715	2	62	:	:	PUNCT
cana-3715	2	63	in	in	ADP
cana-3715	2	64	recent	recent	ADJ
cana-3715	2	65	years	year	NOUN
cana-3715	2	66	,	,	PUNCT
cana-3715	2	67	deep	deep	ADJ
cana-3715	2	68	learning	learning	NOUN
cana-3715	2	69	has	have	AUX
cana-3715	2	70	become	become	VERB
cana-3715	2	71	a	a	DET
cana-3715	2	72	cornerstone	cornerstone	NOUN
cana-3715	2	73	of	of	ADP
cana-3715	2	74	advancements	advancement	NOUN
cana-3715	2	75	in	in	ADP
cana-3715	2	76	medical	medical	ADJ
cana-3715	2	77	imaging	imaging	NOUN
cana-3715	2	78	,	,	PUNCT
cana-3715	2	79	facilitating	facilitate	VERB
cana-3715	2	80	significant	significant	ADJ
cana-3715	2	81	improvements	improvement	NOUN
cana-3715	2	82	in	in	ADP
cana-3715	2	83	early	early	ADJ
cana-3715	2	84	disease	disease	NOUN
cana-3715	2	85	detection	detection	NOUN
cana-3715	2	86	.	.	PUNCT
cana-3715	3	1	this	this	DET
cana-3715	3	2	study	study	NOUN
cana-3715	3	3	presents	present	VERB
cana-3715	3	4	a	a	DET
cana-3715	3	5	phased	phased	ADJ
cana-3715	3	6	approach	approach	NOUN
cana-3715	3	7	to	to	ADP
cana-3715	3	8	optimizing	optimize	VERB
cana-3715	3	9	gastrointestinal	gastrointestinal	ADJ
cana-3715	3	10	(	(	PUNCT
cana-3715	3	11	gi	gi	NOUN
cana-3715	3	12	)	)	PUNCT
cana-3715	3	13	disease	disease	NOUN
cana-3715	3	14	diagnostics	diagnostic	NOUN
cana-3715	3	15	by	by	ADP
cana-3715	3	16	implementing	implement	VERB
cana-3715	3	17	a	a	DET
cana-3715	3	18	structured	structured	ADJ
cana-3715	3	19	data	datum	NOUN
cana-3715	3	20	augmentation	augmentation	NOUN
cana-3715	3	21	and	and	CCONJ
cana-3715	3	22	preprocessing	preprocessing	NOUN
cana-3715	3	23	phase	phase	NOUN
cana-3715	3	24	.	.	PUNCT
cana-3715	4	1	leveraging	leverage	VERB
cana-3715	4	2	an	an	DET
cana-3715	4	3	expanded	expand	VERB
cana-3715	4	4	dataset	dataset	NOUN
cana-3715	4	5	with	with	ADP
cana-3715	4	6	novel	novel	NOUN
cana-3715	4	7	clinically	clinically	ADV
cana-3715	4	8	relevant	relevant	ADJ
cana-3715	4	9	classes	class	NOUN
cana-3715	4	10	,	,	PUNCT
cana-3715	4	11	this	this	DET
cana-3715	4	12	phase	phase	NOUN
cana-3715	4	13	seeks	seek	VERB
cana-3715	4	14	to	to	PART
cana-3715	4	15	increase	increase	VERB
cana-3715	4	16	model	model	NOUN
cana-3715	4	17	robustness	robustness	NOUN
cana-3715	4	18	and	and	CCONJ
cana-3715	4	19	classification	classification	NOUN
cana-3715	4	20	accuracy	accuracy	NOUN
cana-3715	4	21	.	.	PUNCT
cana-3715	5	1	our	our	PRON
cana-3715	5	2	methodology	methodology	NOUN
cana-3715	5	3	employs	employ	VERB
cana-3715	5	4	targeted	target	VERB
cana-3715	5	5	data	datum	NOUN
cana-3715	5	6	augmentation	augmentation	NOUN
cana-3715	5	7	techniques	technique	NOUN
cana-3715	5	8	coupled	couple	VERB
cana-3715	5	9	with	with	ADP
cana-3715	5	10	ef	ef	PROPN
cana-3715	5	11	ficientnetv2	ficientnetv2	PROPN
cana-3715	5	12	for	for	ADP
cana-3715	5	13	detailed	detailed	ADJ
cana-3715	5	14	feature	feature	NOUN
cana-3715	5	15	extraction	extraction	NOUN
cana-3715	5	16	in	in	ADP
cana-3715	5	17	endoscopic	endoscopic	ADJ
cana-3715	5	18	imagery	imagery	NOUN
cana-3715	5	19	.	.	PUNCT
cana-3715	6	1	initial	initial	ADJ
cana-3715	6	2	results	result	NOUN
cana-3715	6	3	underscore	underscore	VERB
cana-3715	6	4	the	the	DET
cana-3715	6	5	potential	potential	NOUN
cana-3715	6	6	for	for	ADP
cana-3715	6	7	substantial	substantial	ADJ
cana-3715	6	8	improvements	improvement	NOUN
cana-3715	6	9	in	in	ADP
cana-3715	6	10	diagnostic	diagnostic	ADJ
cana-3715	6	11	precision	precision	NOUN
cana-3715	6	12	,	,	PUNCT
cana-3715	6	13	particularly	particularly	ADV
cana-3715	6	14	in	in	ADP
cana-3715	6	15	identifying	identify	VERB
cana-3715	6	16	nuanced	nuanced	ADJ
cana-3715	6	17	gi	gi	NOUN
cana-3715	6	18	conditions	condition	NOUN
cana-3715	6	19	.	.	PUNCT
cana-3715	7	1	by	by	ADP
cana-3715	7	2	focusing	focus	VERB
cana-3715	7	3	on	on	ADP
cana-3715	7	4	this	this	DET
cana-3715	7	5	foundational	foundational	ADJ
cana-3715	7	6	phase	phase	NOUN
cana-3715	7	7	,	,	PUNCT
cana-3715	7	8	this	this	DET
cana-3715	7	9	work	work	NOUN
cana-3715	7	10	establishes	establish	VERB
cana-3715	7	11	a	a	DET
cana-3715	7	12	framework	framework	NOUN
cana-3715	7	13	for	for	ADP
cana-3715	7	14	developing	develop	VERB
cana-3715	7	15	advanced	advanced	ADJ
cana-3715	7	16	ai	ai	ADJ
cana-3715	7	17	-	-	PUNCT
cana-3715	7	18	driven	drive	VERB
cana-3715	7	19	diagnostic	diagnostic	ADJ
cana-3715	7	20	tools	tool	NOUN
cana-3715	7	21	tailored	tailor	VERB
cana-3715	7	22	for	for	ADP
cana-3715	7	23	gi	gi	NOUN
cana-3715	7	24	disease	disease	NOUN
cana-3715	7	25	detection	detection	NOUN
cana-3715	7	26	.	.	PUNCT
cana-3715	8	1	keywords	keyword	NOUN
cana-3715	8	2	:	:	PUNCT
cana-3715	8	3	gastrointestinal	gastrointestinal	ADJ
cana-3715	8	4	disease	disease	NOUN
cana-3715	8	5	detection	detection	NOUN
cana-3715	8	6	,	,	PUNCT
cana-3715	8	7	deep	deep	ADJ
cana-3715	8	8	learning	learning	NOUN
cana-3715	8	9	,	,	PUNCT
cana-3715	8	10	data	datum	NOUN
cana-3715	8	11	augmentation	augmentation	NOUN
cana-3715	8	12	,	,	PUNCT
cana-3715	8	13	efficientnetv2	efficientnetv2	PROPN
cana-3715	8	14	,	,	PUNCT
cana-3715	8	15	medical	medical	ADJ
cana-3715	8	16	imaging	imaging	NOUN
cana-3715	8	17	.	.	PUNCT
cana-3715	9	1	i.	i.	PROPN
cana-3715	9	2	introduction	introduction	NOUN
cana-3715	9	3	the	the	DET
cana-3715	9	4	integration	integration	NOUN
cana-3715	9	5	of	of	ADP
cana-3715	9	6	artificial	artificial	ADJ
cana-3715	9	7	intelligence	intelligence	NOUN
cana-3715	9	8	(	(	PUNCT
cana-3715	9	9	ai	ai	NOUN
cana-3715	9	10	)	)	PUNCT
cana-3715	9	11	into	into	ADP
cana-3715	9	12	medical	medical	ADJ
cana-3715	9	13	diagnostics	diagnostic	NOUN
cana-3715	9	14	has	have	AUX
cana-3715	9	15	ushered	usher	VERB
cana-3715	9	16	in	in	ADP
cana-3715	9	17	unprecedented	unprecedented	ADJ
cana-3715	9	18	advances	advance	NOUN
cana-3715	9	19	,	,	PUNCT
cana-3715	9	20	especially	especially	ADV
cana-3715	9	21	in	in	ADP
cana-3715	9	22	image	image	NOUN
cana-3715	9	23	-	-	PUNCT
cana-3715	9	24	intensive	intensive	ADJ
cana-3715	9	25	fields	field	NOUN
cana-3715	9	26	like	like	ADP
cana-3715	9	27	gastrointestinal	gastrointestinal	ADJ
cana-3715	9	28	(	(	PUNCT
cana-3715	9	29	gi	gi	INTJ
cana-3715	9	30	)	)	PUNCT
cana-3715	9	31	endoscopy	endoscopy	NOUN
cana-3715	9	32	.	.	PUNCT
cana-3715	10	1	in	in	ADP
cana-3715	10	2	2022	2022	NUM
cana-3715	10	3	alone	alone	ADV
cana-3715	10	4	,	,	PUNCT
cana-3715	10	5	gi	gi	VERB
cana-3715	10	6	conditions	condition	NOUN
cana-3715	10	7	accounted	account	VERB
cana-3715	10	8	for	for	ADP
cana-3715	10	9	nearly	nearly	ADV
cana-3715	10	10	10	10	NUM
cana-3715	10	11	%	%	NOUN
cana-3715	10	12	of	of	ADP
cana-3715	10	13	all	all	DET
cana-3715	10	14	global	global	ADJ
cana-3715	10	15	healthcare	healthcare	NOUN
cana-3715	10	16	costs	cost	NOUN
cana-3715	10	17	,	,	PUNCT
cana-3715	10	18	primarily	primarily	ADV
cana-3715	10	19	due	due	ADP
cana-3715	10	20	to	to	ADP
cana-3715	10	21	the	the	DET
cana-3715	10	22	rising	rise	VERB
cana-3715	10	23	prevalence	prevalence	NOUN
cana-3715	10	24	of	of	ADP
cana-3715	10	25	diseases	disease	NOUN
cana-3715	10	26	such	such	ADJ
cana-3715	10	27	as	as	ADP
cana-3715	10	28	colorectal	colorectal	ADJ
cana-3715	10	29	cancer	cancer	NOUN
cana-3715	10	30	,	,	PUNCT
cana-3715	10	31	crohn	crohn	PROPN
cana-3715	10	32	’s	’s	PART
cana-3715	10	33	disease	disease	NOUN
cana-3715	10	34	,	,	PUNCT
cana-3715	10	35	and	and	CCONJ
cana-3715	10	36	gastroesophageal	gastroesophageal	VERB
cana-3715	10	37	reflux	reflux	NOUN
cana-3715	10	38	disease	disease	NOUN
cana-3715	10	39	(	(	PUNCT
cana-3715	10	40	gerd	gerd	NOUN
cana-3715	10	41	)	)	PUNCT
cana-3715	11	1	[	[	X
cana-3715	11	2	1	1	NUM
cana-3715	11	3	]	]	PUNCT
cana-3715	11	4	,	,	PUNCT
cana-3715	11	5	[	[	X
cana-3715	11	6	2	2	NUM
cana-3715	11	7	]	]	PUNCT
cana-3715	11	8	.	.	PUNCT
cana-3715	12	1	accurate	accurate	ADJ
cana-3715	12	2	detection	detection	NOUN
cana-3715	12	3	of	of	ADP
cana-3715	12	4	gi	gi	NOUN
cana-3715	12	5	conditions	condition	NOUN
cana-3715	12	6	is	be	AUX
cana-3715	12	7	crucial	crucial	ADJ
cana-3715	12	8	,	,	PUNCT
cana-3715	12	9	not	not	PART
cana-3715	12	10	only	only	ADV
cana-3715	12	11	for	for	ADP
cana-3715	12	12	early	early	ADJ
cana-3715	12	13	intervention	intervention	NOUN
cana-3715	12	14	but	but	CCONJ
cana-3715	12	15	also	also	ADV
cana-3715	12	16	to	to	PART
cana-3715	12	17	reduce	reduce	VERB
cana-3715	12	18	the	the	DET
cana-3715	12	19	burden	burden	NOUN
cana-3715	12	20	on	on	ADP
cana-3715	12	21	healthcare	healthcare	NOUN
cana-3715	12	22	systems	system	NOUN
cana-3715	12	23	worldwide	worldwide	ADV
cana-3715	12	24	.	.	PUNCT
cana-3715	13	1	recent	recent	ADJ
cana-3715	13	2	studies	study	NOUN
cana-3715	13	3	underscore	underscore	VERB
cana-3715	13	4	the	the	DET
cana-3715	13	5	potential	potential	NOUN
cana-3715	13	6	of	of	ADP
cana-3715	13	7	ai	ai	ADJ
cana-3715	13	8	-	-	PUNCT
cana-3715	13	9	driven	drive	VERB
cana-3715	13	10	diagnostics	diagnostic	NOUN
cana-3715	13	11	in	in	ADP
cana-3715	13	12	reducing	reduce	VERB
cana-3715	13	13	false	false	ADJ
cana-3715	13	14	positives	positive	NOUN
cana-3715	13	15	and	and	CCONJ
cana-3715	13	16	improving	improve	VERB
cana-3715	13	17	diagnostic	diagnostic	ADJ
cana-3715	13	18	accuracy	accuracy	NOUN
cana-3715	13	19	.	.	PUNCT
cana-3715	14	1	for	for	ADP
cana-3715	14	2	instance	instance	NOUN
cana-3715	14	3	,	,	PUNCT
cana-3715	14	4	advanced	advanced	ADJ
cana-3715	14	5	deep	deep	ADJ
cana-3715	14	6	learning	learning	NOUN
cana-3715	14	7	models	model	NOUN
cana-3715	14	8	have	have	AUX
cana-3715	14	9	demonstrated	demonstrate	VERB
cana-3715	14	10	the	the	DET
cana-3715	14	11	capability	capability	NOUN
cana-3715	14	12	to	to	PART
cana-3715	14	13	identify	identify	VERB
cana-3715	14	14	complex	complex	ADJ
cana-3715	14	15	pathological	pathological	ADJ
cana-3715	14	16	features	feature	NOUN
cana-3715	14	17	in	in	ADP
cana-3715	14	18	endoscopic	endoscopic	ADJ
cana-3715	14	19	images	image	NOUN
cana-3715	14	20	with	with	ADP
cana-3715	14	21	over	over	ADP
cana-3715	14	22	90	90	NUM
cana-3715	14	23	%	%	NOUN
cana-3715	14	24	accuracy	accuracy	NOUN
cana-3715	14	25	,	,	PUNCT
cana-3715	14	26	often	often	ADV
cana-3715	14	27	surpassing	surpass	VERB
cana-3715	14	28	traditional	traditional	ADJ
cana-3715	14	29	diagnostic	diagnostic	ADJ
cana-3715	14	30	techniques	technique	NOUN
cana-3715	14	31	in	in	ADP
cana-3715	14	32	speed	speed	NOUN
cana-3715	14	33	and	and	CCONJ
cana-3715	14	34	reliability	reliability	NOUN
cana-3715	14	35	[	[	X
cana-3715	14	36	3	3	NUM
cana-3715	14	37	]	]	PUNCT
cana-3715	14	38	.	.	PUNCT
cana-3715	15	1	however	however	ADV
cana-3715	15	2	,	,	PUNCT
cana-3715	15	3	variability	variability	NOUN
cana-3715	15	4	in	in	ADP
cana-3715	15	5	gi	gi	NOUN
cana-3715	15	6	images	image	NOUN
cana-3715	15	7	—	—	PUNCT
cana-3715	15	8	caused	cause	VERB
cana-3715	15	9	by	by	ADP
cana-3715	15	10	different	different	ADJ
cana-3715	15	11	lighting	lighting	NOUN
cana-3715	15	12	conditions	condition	NOUN
cana-3715	15	13	,	,	PUNCT
cana-3715	15	14	camera	camera	NOUN
cana-3715	15	15	angles	angle	NOUN
cana-3715	15	16	,	,	PUNCT
cana-3715	15	17	and	and	CCONJ
cana-3715	15	18	individual	individual	ADJ
cana-3715	15	19	anatomical	anatomical	ADJ
cana-3715	15	20	differences	difference	NOUN
cana-3715	15	21	—	—	PUNCT
cana-3715	15	22	continues	continue	VERB
cana-3715	15	23	to	to	PART
cana-3715	15	24	pose	pose	VERB
cana-3715	15	25	significant	significant	ADJ
cana-3715	15	26	challenges	challenge	NOUN
cana-3715	15	27	.	.	PUNCT
cana-3715	16	1	without	without	ADP
cana-3715	16	2	targeted	target	VERB
cana-3715	16	3	data	datum	NOUN
cana-3715	16	4	preprocessing	preprocessing	NOUN
cana-3715	16	5	,	,	PUNCT
cana-3715	16	6	ai	ai	VERB
cana-3715	16	7	models	model	NOUN
cana-3715	16	8	may	may	AUX
cana-3715	16	9	underperform	underperform	VERB
cana-3715	16	10	in	in	ADP
cana-3715	16	11	real	real	ADJ
cana-3715	16	12	-	-	PUNCT
cana-3715	16	13	world	world	NOUN
cana-3715	16	14	clinical	clinical	ADJ
cana-3715	16	15	environments	environment	NOUN
cana-3715	16	16	,	,	PUNCT
cana-3715	16	17	where	where	SCONJ
cana-3715	16	18	such	such	ADJ
cana-3715	16	19	variations	variation	NOUN
cana-3715	16	20	are	be	AUX
cana-3715	16	21	inevitable	inevitable	ADJ
cana-3715	16	22	.	.	PUNCT
cana-3715	17	1	while	while	SCONJ
cana-3715	17	2	prior	prior	ADJ
cana-3715	17	3	research	research	NOUN
cana-3715	17	4	has	have	AUX
cana-3715	17	5	explored	explore	VERB
cana-3715	17	6	the	the	DET
cana-3715	17	7	potential	potential	NOUN
cana-3715	17	8	of	of	ADP
cana-3715	17	9	deep	deep	ADJ
cana-3715	17	10	learning	learning	NOUN
cana-3715	17	11	models	model	NOUN
cana-3715	17	12	like	like	ADP
cana-3715	17	13	efficientnet	efficientnet	NOUN
cana-3715	17	14	and	and	CCONJ
cana-3715	17	15	vision	vision	NOUN
cana-3715	17	16	transformers	transformer	NOUN
cana-3715	17	17	in	in	ADP
cana-3715	17	18	various	various	ADJ
cana-3715	17	19	medical	medical	ADJ
cana-3715	17	20	imaging	imaging	NOUN
cana-3715	17	21	applications	application	NOUN
cana-3715	17	22	,	,	PUNCT
cana-3715	17	23	few	few	ADJ
cana-3715	17	24	have	have	AUX
cana-3715	17	25	systematically	systematically	ADV
cana-3715	17	26	examined	examine	VERB
cana-3715	17	27	the	the	DET
cana-3715	17	28	impact	impact	NOUN
cana-3715	17	29	of	of	ADP
cana-3715	17	30	comprehensive	comprehensive	ADJ
cana-3715	17	31	data	datum	NOUN
cana-3715	17	32	augmentation	augmentation	NOUN
cana-3715	17	33	tailored	tailor	VERB
cana-3715	17	34	specifically	specifically	ADV
cana-3715	17	35	for	for	ADP
cana-3715	17	36	gi	gi	NOUN
cana-3715	17	37	disease	disease	NOUN
cana-3715	17	38	detection	detection	NOUN
cana-3715	17	39	[	[	X
cana-3715	17	40	4	4	NUM
cana-3715	17	41	]	]	PUNCT
cana-3715	17	42	,	,	PUNCT
cana-3715	17	43	[	[	X
cana-3715	17	44	5	5	NUM
cana-3715	17	45	]	]	PUNCT
cana-3715	17	46	.	.	PUNCT
cana-3715	18	1	data	datum	NOUN
cana-3715	18	2	augmentation	augmentation	PROPN
cana-3715	18	3	,	,	PUNCT
cana-3715	18	4	which	which	PRON
cana-3715	18	5	involves	involve	VERB
cana-3715	18	6	artificially	artificially	ADV
cana-3715	18	7	increasing	increase	VERB
cana-3715	18	8	the	the	DET
cana-3715	18	9	diversity	diversity	NOUN
cana-3715	18	10	of	of	ADP
cana-3715	18	11	the	the	DET
cana-3715	18	12	training	training	NOUN
cana-3715	18	13	dataset	dataset	NOUN
cana-3715	18	14	,	,	PUNCT
cana-3715	18	15	has	have	AUX
cana-3715	18	16	been	be	AUX
cana-3715	18	17	shown	show	VERB
cana-3715	18	18	to	to	PART
cana-3715	18	19	enhance	enhance	VERB
cana-3715	18	20	model	model	NOUN
cana-3715	18	21	robustness	robustness	NOUN
cana-3715	18	22	by	by	ADP
cana-3715	18	23	simulating	simulate	VERB
cana-3715	18	24	real	real	ADJ
cana-3715	18	25	-	-	PUNCT
cana-3715	18	26	world	world	NOUN
cana-3715	18	27	variability	variability	NOUN
cana-3715	18	28	in	in	ADP
cana-3715	18	29	images	image	NOUN
cana-3715	18	30	.	.	PUNCT
cana-3715	19	1	in	in	ADP
cana-3715	19	2	gi	gi	NOUN
cana-3715	19	3	diagnostics	diagnostic	NOUN
cana-3715	19	4	,	,	PUNCT
cana-3715	19	5	communications	communication	NOUN
cana-3715	19	6	on	on	ADP
cana-3715	19	7	applied	apply	VERB
cana-3715	19	8	nonlinear	nonlinear	ADJ
cana-3715	19	9	analysis	analysis	NOUN
cana-3715	19	10	issn	issn	NOUN
cana-3715	19	11	:	:	PUNCT
cana-3715	19	12	1074	1074	NUM
cana-3715	19	13	-	-	PUNCT
cana-3715	19	14	133x	133x	NUM
cana-3715	19	15	vol	vol	NOUN
cana-3715	19	16	32	32	NUM
cana-3715	19	17	no	no	NOUN
cana-3715	19	18	.	.	PUNCT
cana-3715	20	1	8s	8s	PROPN
cana-3715	20	2	(	(	PUNCT
cana-3715	20	3	2025	2025	NUM
cana-3715	20	4	)	)	PUNCT
cana-3715	20	5	538	538	NUM
cana-3715	20	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3715	20	7	this	this	PRON
cana-3715	20	8	is	be	AUX
cana-3715	20	9	particularly	particularly	ADV
cana-3715	20	10	useful	useful	ADJ
cana-3715	20	11	as	as	SCONJ
cana-3715	20	12	it	it	PRON
cana-3715	20	13	enables	enable	VERB
cana-3715	20	14	models	model	NOUN
cana-3715	20	15	to	to	PART
cana-3715	20	16	recognize	recognize	VERB
cana-3715	20	17	both	both	CCONJ
cana-3715	20	18	common	common	ADJ
cana-3715	20	19	and	and	CCONJ
cana-3715	20	20	rare	rare	ADJ
cana-3715	20	21	disease	disease	NOUN
cana-3715	20	22	presentations	presentation	NOUN
cana-3715	20	23	across	across	ADP
cana-3715	20	24	a	a	DET
cana-3715	20	25	broader	broad	ADJ
cana-3715	20	26	range	range	NOUN
cana-3715	20	27	of	of	ADP
cana-3715	20	28	imaging	imaging	NOUN
cana-3715	20	29	conditions	condition	NOUN
cana-3715	20	30	[	[	X
cana-3715	20	31	6	6	NUM
cana-3715	20	32	]	]	PUNCT
cana-3715	20	33	.	.	PUNCT
cana-3715	21	1	the	the	DET
cana-3715	21	2	focus	focus	NOUN
cana-3715	21	3	of	of	ADP
cana-3715	21	4	this	this	DET
cana-3715	21	5	paper	paper	NOUN
cana-3715	21	6	is	be	AUX
cana-3715	21	7	on	on	ADP
cana-3715	21	8	the	the	DET
cana-3715	21	9	initial	initial	ADJ
cana-3715	21	10	,	,	PUNCT
cana-3715	21	11	yet	yet	CCONJ
cana-3715	21	12	critical	critical	ADJ
cana-3715	21	13	,	,	PUNCT
cana-3715	21	14	phase	phase	NOUN
cana-3715	21	15	of	of	ADP
cana-3715	21	16	gi	gi	NOUN
cana-3715	21	17	disease	disease	NOUN
cana-3715	21	18	detection	detection	NOUN
cana-3715	21	19	—	—	PUNCT
cana-3715	21	20	data	data	NOUN
cana-3715	21	21	preprocessing	preprocessing	NOUN
cana-3715	21	22	and	and	CCONJ
cana-3715	21	23	augmentation	augmentation	NOUN
cana-3715	21	24	.	.	PUNCT
cana-3715	22	1	this	this	DET
cana-3715	22	2	approach	approach	NOUN
cana-3715	22	3	seeks	seek	VERB
cana-3715	22	4	to	to	PART
cana-3715	22	5	enhance	enhance	VERB
cana-3715	22	6	model	model	NOUN
cana-3715	22	7	performance	performance	NOUN
cana-3715	22	8	by	by	ADP
cana-3715	22	9	refining	refine	VERB
cana-3715	22	10	the	the	DET
cana-3715	22	11	dataset	dataset	NOUN
cana-3715	22	12	itself	itself	PRON
cana-3715	22	13	before	before	ADP
cana-3715	22	14	applying	apply	VERB
cana-3715	22	15	complex	complex	ADJ
cana-3715	22	16	ensemble	ensemble	ADJ
cana-3715	22	17	techniques	technique	NOUN
cana-3715	22	18	.	.	PUNCT
cana-3715	23	1	building	build	VERB
cana-3715	23	2	on	on	ADP
cana-3715	23	3	the	the	DET
cana-3715	23	4	gastrovision	gastrovision	NOUN
cana-3715	23	5	dataset	dataset	VERB
cana-3715	23	6	,	,	PUNCT
cana-3715	23	7	we	we	PRON
cana-3715	23	8	introduce	introduce	VERB
cana-3715	23	9	three	three	NUM
cana-3715	23	10	new	new	ADJ
cana-3715	23	11	categories	category	NOUN
cana-3715	23	12	:	:	PUNCT
cana-3715	23	13	inflammatory	inflammatory	ADJ
cana-3715	23	14	conditions	condition	NOUN
cana-3715	23	15	,	,	PUNCT
cana-3715	23	16	neoplastic	neoplastic	ADJ
cana-3715	23	17	growths	growth	NOUN
cana-3715	23	18	,	,	PUNCT
cana-3715	23	19	and	and	CCONJ
cana-3715	23	20	interventional	interventional	ADJ
cana-3715	23	21	findings	finding	NOUN
cana-3715	23	22	,	,	PUNCT
cana-3715	23	23	each	each	PRON
cana-3715	23	24	of	of	ADP
cana-3715	23	25	which	which	PRON
cana-3715	23	26	represents	represent	VERB
cana-3715	23	27	clinically	clinically	ADV
cana-3715	23	28	significant	significant	ADJ
cana-3715	23	29	conditions	condition	NOUN
cana-3715	23	30	relevant	relevant	ADJ
cana-3715	23	31	to	to	ADP
cana-3715	23	32	gastroenterology	gastroenterology	NOUN
cana-3715	23	33	.	.	PUNCT
cana-3715	24	1	our	our	PRON
cana-3715	24	2	approach	approach	NOUN
cana-3715	24	3	is	be	AUX
cana-3715	24	4	inspired	inspire	VERB
cana-3715	24	5	by	by	ADP
cana-3715	24	6	the	the	DET
cana-3715	24	7	success	success	NOUN
cana-3715	24	8	of	of	ADP
cana-3715	24	9	recent	recent	ADJ
cana-3715	24	10	studies	study	NOUN
cana-3715	24	11	that	that	PRON
cana-3715	24	12	emphasize	emphasize	VERB
cana-3715	24	13	the	the	DET
cana-3715	24	14	value	value	NOUN
cana-3715	24	15	of	of	ADP
cana-3715	24	16	tailored	tailored	ADJ
cana-3715	24	17	preprocessing	preprocessing	NOUN
cana-3715	24	18	in	in	ADP
cana-3715	24	19	achieving	achieve	VERB
cana-3715	24	20	higher	high	ADJ
cana-3715	24	21	diagnostic	diagnostic	ADJ
cana-3715	24	22	accuracy	accuracy	NOUN
cana-3715	25	1	[	[	X
cana-3715	25	2	7	7	NUM
cana-3715	25	3	]	]	PUNCT
cana-3715	25	4	,	,	PUNCT
cana-3715	25	5	[	[	X
cana-3715	25	6	8	8	NUM
cana-3715	25	7	]	]	PUNCT
cana-3715	25	8	.	.	PUNCT
cana-3715	26	1	efficientnetv2	efficientnetv2	PROPN
cana-3715	26	2	,	,	PUNCT
cana-3715	26	3	a	a	DET
cana-3715	26	4	state	state	NOUN
cana-3715	26	5	-	-	PUNCT
cana-3715	26	6	of	of	ADP
cana-3715	26	7	-	-	PUNCT
cana-3715	26	8	the	the	DET
cana-3715	26	9	-	-	PUNCT
cana-3715	26	10	art	art	NOUN
cana-3715	26	11	convolutional	convolutional	ADJ
cana-3715	26	12	neural	neural	ADJ
cana-3715	26	13	network	network	NOUN
cana-3715	26	14	,	,	PUNCT
cana-3715	26	15	is	be	AUX
cana-3715	26	16	employed	employ	VERB
cana-3715	26	17	for	for	ADP
cana-3715	26	18	feature	feature	NOUN
cana-3715	26	19	extraction	extraction	NOUN
cana-3715	26	20	due	due	ADP
cana-3715	26	21	to	to	ADP
cana-3715	26	22	its	its	PRON
cana-3715	26	23	efficient	efficient	ADJ
cana-3715	26	24	scaling	scaling	NOUN
cana-3715	26	25	properties	property	NOUN
cana-3715	26	26	and	and	CCONJ
cana-3715	26	27	proven	prove	VERB
cana-3715	26	28	performance	performance	NOUN
cana-3715	26	29	in	in	ADP
cana-3715	26	30	medical	medical	ADJ
cana-3715	26	31	imaging	imaging	NOUN
cana-3715	26	32	tasks	task	NOUN
cana-3715	26	33	[	[	X
cana-3715	26	34	9	9	NUM
cana-3715	26	35	]	]	PUNCT
cana-3715	26	36	.	.	PUNCT
cana-3715	27	1	unlike	unlike	ADP
cana-3715	27	2	other	other	ADJ
cana-3715	27	3	architectures	architecture	NOUN
cana-3715	27	4	,	,	PUNCT
cana-3715	27	5	efficientnetv2	efficientnetv2	PROPN
cana-3715	27	6	optimally	optimally	ADV
cana-3715	27	7	balances	balance	VERB
cana-3715	27	8	model	model	NOUN
cana-3715	27	9	depth	depth	NOUN
cana-3715	27	10	,	,	PUNCT
cana-3715	27	11	width	width	ADJ
cana-3715	27	12	,	,	PUNCT
cana-3715	27	13	and	and	CCONJ
cana-3715	27	14	resolution	resolution	NOUN
cana-3715	27	15	,	,	PUNCT
cana-3715	27	16	making	make	VERB
cana-3715	27	17	it	it	PRON
cana-3715	27	18	particularly	particularly	ADV
cana-3715	27	19	suited	suit	VERB
cana-3715	27	20	for	for	ADP
cana-3715	27	21	highdimensional	highdimensional	ADJ
cana-3715	27	22	gi	gi	NOUN
cana-3715	27	23	images	image	NOUN
cana-3715	27	24	.	.	PUNCT
cana-3715	28	1	additionally	additionally	ADV
cana-3715	28	2	,	,	PUNCT
cana-3715	28	3	efficientnetv2	efficientnetv2	PROPN
cana-3715	28	4	’s	’s	PART
cana-3715	28	5	use	use	NOUN
cana-3715	28	6	of	of	ADP
cana-3715	28	7	compound	compound	NOUN
cana-3715	28	8	scaling	scaling	NOUN
cana-3715	28	9	enhances	enhance	VERB
cana-3715	28	10	its	its	PRON
cana-3715	28	11	ability	ability	NOUN
cana-3715	28	12	to	to	PART
cana-3715	28	13	capture	capture	VERB
cana-3715	28	14	fine	fine	ADV
cana-3715	28	15	-	-	PUNCT
cana-3715	28	16	grained	grain	VERB
cana-3715	28	17	details	detail	NOUN
cana-3715	28	18	without	without	ADP
cana-3715	28	19	an	an	DET
cana-3715	28	20	excessive	excessive	ADJ
cana-3715	28	21	computational	computational	ADJ
cana-3715	28	22	burden	burden	NOUN
cana-3715	28	23	[	[	X
cana-3715	28	24	10	10	NUM
cana-3715	28	25	]	]	PUNCT
cana-3715	28	26	.	.	PUNCT
cana-3715	29	1	the	the	DET
cana-3715	29	2	goal	goal	NOUN
cana-3715	29	3	of	of	ADP
cana-3715	29	4	this	this	DET
cana-3715	29	5	work	work	NOUN
cana-3715	29	6	is	be	AUX
cana-3715	29	7	to	to	PART
cana-3715	29	8	lay	lay	VERB
cana-3715	29	9	a	a	DET
cana-3715	29	10	solid	solid	ADJ
cana-3715	29	11	foundation	foundation	NOUN
cana-3715	29	12	for	for	ADP
cana-3715	29	13	subsequent	subsequent	ADJ
cana-3715	29	14	phases	phase	NOUN
cana-3715	29	15	in	in	ADP
cana-3715	29	16	the	the	DET
cana-3715	29	17	ai	ai	ADJ
cana-3715	29	18	diagnostic	diagnostic	ADJ
cana-3715	29	19	pipeline	pipeline	NOUN
cana-3715	29	20	by	by	ADP
cana-3715	29	21	enhancing	enhance	VERB
cana-3715	29	22	data	datum	NOUN
cana-3715	29	23	quality	quality	NOUN
cana-3715	29	24	and	and	CCONJ
cana-3715	29	25	variability	variability	NOUN
cana-3715	29	26	.	.	PUNCT
cana-3715	30	1	by	by	ADP
cana-3715	30	2	focusing	focus	VERB
cana-3715	30	3	on	on	ADP
cana-3715	30	4	robust	robust	ADJ
cana-3715	30	5	preprocessing	preprocessing	NOUN
cana-3715	30	6	,	,	PUNCT
cana-3715	30	7	we	we	PRON
cana-3715	30	8	aim	aim	VERB
cana-3715	30	9	to	to	PART
cana-3715	30	10	address	address	VERB
cana-3715	30	11	common	common	ADJ
cana-3715	30	12	issues	issue	NOUN
cana-3715	30	13	of	of	ADP
cana-3715	30	14	model	model	NOUN
cana-3715	30	15	overfitting	overfitting	NOUN
cana-3715	30	16	and	and	CCONJ
cana-3715	30	17	underperformance	underperformance	NOUN
cana-3715	30	18	when	when	SCONJ
cana-3715	30	19	exposed	expose	VERB
cana-3715	30	20	to	to	ADP
cana-3715	30	21	clinical	clinical	ADJ
cana-3715	30	22	gi	gi	NOUN
cana-3715	30	23	data	datum	NOUN
cana-3715	30	24	.	.	PUNCT
cana-3715	31	1	the	the	DET
cana-3715	31	2	insights	insight	NOUN
cana-3715	31	3	gained	gain	VERB
cana-3715	31	4	from	from	ADP
cana-3715	31	5	this	this	DET
cana-3715	31	6	phase	phase	NOUN
cana-3715	31	7	will	will	AUX
cana-3715	31	8	inform	inform	VERB
cana-3715	31	9	the	the	DET
cana-3715	31	10	development	development	NOUN
cana-3715	31	11	of	of	ADP
cana-3715	31	12	more	more	ADV
cana-3715	31	13	sophisticated	sophisticated	ADJ
cana-3715	31	14	ai	ai	VERB
cana-3715	31	15	-driven	-driven	ADJ
cana-3715	31	16	diagnostic	diagnostic	ADJ
cana-3715	31	17	tools	tool	NOUN
cana-3715	31	18	,	,	PUNCT
cana-3715	31	19	designed	design	VERB
cana-3715	31	20	to	to	PART
cana-3715	31	21	assist	assist	VERB
cana-3715	31	22	clinicians	clinician	NOUN
cana-3715	31	23	in	in	ADP
cana-3715	31	24	real	real	ADJ
cana-3715	31	25	-	-	PUNCT
cana-3715	31	26	time	time	NOUN
cana-3715	31	27	gi	gi	NOUN
cana-3715	31	28	disease	disease	NOUN
cana-3715	31	29	detection	detection	NOUN
cana-3715	31	30	with	with	ADP
cana-3715	31	31	improved	improved	ADJ
cana-3715	31	32	accuracy	accuracy	NOUN
cana-3715	31	33	and	and	CCONJ
cana-3715	31	34	reliability	reliability	NOUN
cana-3715	31	35	.	.	PUNCT
cana-3715	32	1	ii	ii	X
cana-3715	32	2	.	.	PROPN
cana-3715	32	3	related	relate	VERB
cana-3715	32	4	work	work	NOUN
cana-3715	32	5	recent	recent	ADJ
cana-3715	32	6	advances	advance	NOUN
cana-3715	32	7	in	in	ADP
cana-3715	32	8	ai	ai	NOUN
cana-3715	32	9	for	for	ADP
cana-3715	32	10	medical	medical	ADJ
cana-3715	32	11	imaging	imaging	NOUN
cana-3715	32	12	underscore	underscore	VERB
cana-3715	32	13	the	the	DET
cana-3715	32	14	critical	critical	ADJ
cana-3715	32	15	role	role	NOUN
cana-3715	32	16	of	of	ADP
cana-3715	32	17	transfer	transfer	NOUN
cana-3715	32	18	learning	learning	NOUN
cana-3715	32	19	models	model	NOUN
cana-3715	32	20	,	,	PUNCT
cana-3715	32	21	such	such	ADJ
cana-3715	32	22	as	as	ADP
cana-3715	32	23	efficientnet	efficientnet	NOUN
cana-3715	32	24	and	and	CCONJ
cana-3715	32	25	vision	vision	NOUN
cana-3715	32	26	transformers	transformer	NOUN
cana-3715	32	27	,	,	PUNCT
cana-3715	32	28	in	in	ADP
cana-3715	32	29	enhancing	enhance	VERB
cana-3715	32	30	diagnostic	diagnostic	ADJ
cana-3715	32	31	accuracy	accuracy	NOUN
cana-3715	32	32	.	.	PUNCT
cana-3715	33	1	studies	study	NOUN
cana-3715	33	2	have	have	AUX
cana-3715	33	3	shown	show	VERB
cana-3715	33	4	that	that	SCONJ
cana-3715	33	5	transfer	transfer	NOUN
cana-3715	33	6	learning	learning	NOUN
cana-3715	33	7	models	model	NOUN
cana-3715	33	8	,	,	PUNCT
cana-3715	33	9	when	when	SCONJ
cana-3715	33	10	combined	combine	VERB
cana-3715	33	11	with	with	ADP
cana-3715	33	12	targeted	target	VERB
cana-3715	33	13	data	datum	NOUN
cana-3715	33	14	augmentation	augmentation	NOUN
cana-3715	33	15	strategies	strategy	NOUN
cana-3715	33	16	,	,	PUNCT
cana-3715	33	17	yield	yield	VERB
cana-3715	33	18	considerable	considerable	ADJ
cana-3715	33	19	improvements	improvement	NOUN
cana-3715	33	20	in	in	ADP
cana-3715	33	21	disease	disease	NOUN
cana-3715	33	22	detection	detection	NOUN
cana-3715	33	23	rates	rate	NOUN
cana-3715	33	24	,	,	PUNCT
cana-3715	33	25	especially	especially	ADV
cana-3715	33	26	within	within	ADP
cana-3715	33	27	challenging	challenging	ADJ
cana-3715	33	28	and	and	CCONJ
cana-3715	33	29	highly	highly	ADV
cana-3715	33	30	variable	variable	ADJ
cana-3715	33	31	domains	domain	NOUN
cana-3715	33	32	such	such	ADJ
cana-3715	33	33	as	as	ADP
cana-3715	33	34	gastrointestinal	gastrointestinal	ADJ
cana-3715	33	35	(	(	PUNCT
cana-3715	33	36	gi	gi	NOUN
cana-3715	33	37	)	)	PUNCT
cana-3715	33	38	diagnostics	diagnostic	NOUN
cana-3715	33	39	[	[	X
cana-3715	33	40	12	12	NUM
cana-3715	33	41	]	]	PUNCT
cana-3715	33	42	.	.	PUNCT
cana-3715	34	1	this	this	DET
cana-3715	34	2	section	section	NOUN
cana-3715	34	3	provides	provide	VERB
cana-3715	34	4	an	an	DET
cana-3715	34	5	overview	overview	NOUN
cana-3715	34	6	of	of	ADP
cana-3715	34	7	foundational	foundational	ADJ
cana-3715	34	8	research	research	NOUN
cana-3715	34	9	in	in	ADP
cana-3715	34	10	transfer	transfer	NOUN
cana-3715	34	11	learning	learning	NOUN
cana-3715	34	12	,	,	PUNCT
cana-3715	34	13	data	datum	NOUN
cana-3715	34	14	augmentation	augmentation	NOUN
cana-3715	34	15	,	,	PUNCT
cana-3715	34	16	and	and	CCONJ
cana-3715	34	17	disease	disease	NOUN
cana-3715	34	18	-	-	PUNCT
cana-3715	34	19	specific	specific	ADJ
cana-3715	34	20	applications	application	NOUN
cana-3715	34	21	,	,	PUNCT
cana-3715	34	22	highlighting	highlight	VERB
cana-3715	34	23	key	key	ADJ
cana-3715	34	24	approaches	approach	NOUN
cana-3715	34	25	and	and	CCONJ
cana-3715	34	26	existing	exist	VERB
cana-3715	34	27	gaps	gap	NOUN
cana-3715	34	28	that	that	PRON
cana-3715	34	29	motivate	motivate	VERB
cana-3715	34	30	a	a	DET
cana-3715	34	31	structured	structured	ADJ
cana-3715	34	32	,	,	PUNCT
cana-3715	34	33	phased	phase	VERB
cana-3715	34	34	methodology	methodology	NOUN
cana-3715	34	35	for	for	ADP
cana-3715	34	36	developing	develop	VERB
cana-3715	34	37	ai	ai	NOUN
cana-3715	34	38	models	model	NOUN
cana-3715	34	39	in	in	ADP
cana-3715	34	40	gi	gi	NOUN
cana-3715	34	41	disease	disease	NOUN
cana-3715	34	42	detection	detection	NOUN
cana-3715	34	43	.	.	PUNCT
cana-3715	35	1	a.	a.	NOUN
cana-3715	35	2	transfer	transfer	NOUN
cana-3715	35	3	learning	learning	NOUN
cana-3715	35	4	in	in	ADP
cana-3715	35	5	medical	medical	ADJ
cana-3715	35	6	imaging	imaging	NOUN
cana-3715	35	7	transfer	transfer	NOUN
cana-3715	35	8	learning	learning	NOUN
cana-3715	35	9	has	have	AUX
cana-3715	35	10	become	become	VERB
cana-3715	35	11	instrumental	instrumental	ADJ
cana-3715	35	12	in	in	ADP
cana-3715	35	13	applying	apply	VERB
cana-3715	35	14	pre	pre	ADJ
cana-3715	35	15	-	-	ADJ
cana-3715	35	16	trained	train	VERB
cana-3715	35	17	models	model	NOUN
cana-3715	35	18	to	to	ADP
cana-3715	35	19	medical	medical	ADJ
cana-3715	35	20	imaging	imaging	NOUN
cana-3715	35	21	tasks	task	NOUN
cana-3715	35	22	where	where	SCONJ
cana-3715	35	23	acquiring	acquire	VERB
cana-3715	35	24	large	large	ADJ
cana-3715	35	25	,	,	PUNCT
cana-3715	35	26	annotated	annotate	VERB
cana-3715	35	27	datasets	dataset	NOUN
cana-3715	35	28	is	be	AUX
cana-3715	35	29	challenging	challenge	VERB
cana-3715	35	30	.	.	PUNCT
cana-3715	36	1	tan	tan	PROPN
cana-3715	36	2	and	and	CCONJ
cana-3715	36	3	le	le	PROPN
cana-3715	36	4	’s	’s	PART
cana-3715	36	5	work	work	NOUN
cana-3715	36	6	on	on	ADP
cana-3715	36	7	efficientnet	efficientnet	NOUN
cana-3715	36	8	demonstrated	demonstrate	VERB
cana-3715	36	9	that	that	SCONJ
cana-3715	36	10	scaling	scale	VERB
cana-3715	36	11	network	network	NOUN
cana-3715	36	12	architectures	architecture	NOUN
cana-3715	36	13	using	use	VERB
cana-3715	36	14	a	a	DET
cana-3715	36	15	compound	compound	NOUN
cana-3715	36	16	scaling	scaling	NOUN
cana-3715	36	17	method	method	NOUN
cana-3715	36	18	can	can	AUX
cana-3715	36	19	lead	lead	VERB
cana-3715	36	20	to	to	ADP
cana-3715	36	21	significant	significant	ADJ
cana-3715	36	22	improvements	improvement	NOUN
cana-3715	36	23	in	in	ADP
cana-3715	36	24	both	both	DET
cana-3715	36	25	accuracy	accuracy	NOUN
cana-3715	36	26	and	and	CCONJ
cana-3715	36	27	efficiency	efficiency	NOUN
cana-3715	36	28	[	[	X
cana-3715	36	29	1	1	NUM
cana-3715	36	30	]	]	PUNCT
cana-3715	36	31	.	.	PUNCT
cana-3715	37	1	zou	zou	PROPN
cana-3715	37	2	et	et	PROPN
cana-3715	37	3	al	al	PROPN
cana-3715	37	4	.	.	PROPN
cana-3715	37	5	explored	explore	VERB
cana-3715	37	6	the	the	DET
cana-3715	37	7	role	role	NOUN
cana-3715	37	8	of	of	ADP
cana-3715	37	9	effi	effi	PROPN
cana-3715	37	10	cientnet	cientnet	PROPN
cana-3715	37	11	for	for	ADP
cana-3715	37	12	gi	gi	NOUN
cana-3715	37	13	image	image	NOUN
cana-3715	37	14	classification	classification	NOUN
cana-3715	37	15	,	,	PUNCT
cana-3715	37	16	reporting	report	VERB
cana-3715	37	17	increased	increase	VERB
cana-3715	37	18	accuracy	accuracy	NOUN
cana-3715	37	19	and	and	CCONJ
cana-3715	37	20	robustness	robustness	NOUN
cana-3715	37	21	to	to	ADP
cana-3715	37	22	variations	variation	NOUN
cana-3715	37	23	in	in	ADP
cana-3715	37	24	imaging	imaging	NOUN
cana-3715	37	25	conditions	condition	NOUN
cana-3715	37	26	[	[	X
cana-3715	37	27	5	5	NUM
cana-3715	37	28	]	]	PUNCT
cana-3715	37	29	.	.	PUNCT
cana-3715	38	1	vision	vision	NOUN
cana-3715	38	2	transformers	transformer	NOUN
cana-3715	38	3	(	(	PUNCT
cana-3715	38	4	vit	vit	NOUN
cana-3715	38	5	)	)	PUNCT
cana-3715	38	6	,	,	PUNCT
cana-3715	38	7	initially	initially	ADV
cana-3715	38	8	designed	design	VERB
cana-3715	38	9	for	for	ADP
cana-3715	38	10	natural	natural	ADJ
cana-3715	38	11	language	language	NOUN
cana-3715	38	12	processing	processing	NOUN
cana-3715	38	13	,	,	PUNCT
cana-3715	38	14	were	be	AUX
cana-3715	38	15	adapted	adapt	VERB
cana-3715	38	16	for	for	ADP
cana-3715	38	17	imagebased	imagebased	ADJ
cana-3715	38	18	tasks	task	NOUN
cana-3715	38	19	by	by	ADP
cana-3715	38	20	dosovitskiy	dosovitskiy	NOUN
cana-3715	38	21	et	et	PROPN
cana-3715	38	22	al	al	PROPN
cana-3715	38	23	.	.	PROPN
cana-3715	38	24	,	,	PUNCT
cana-3715	38	25	who	who	PRON
cana-3715	38	26	showed	show	VERB
cana-3715	38	27	that	that	SCONJ
cana-3715	38	28	vits	vit	NOUN
cana-3715	38	29	could	could	AUX
cana-3715	38	30	efficiently	efficiently	ADV
cana-3715	38	31	capture	capture	VERB
cana-3715	38	32	global	global	ADJ
cana-3715	38	33	context	context	NOUN
cana-3715	38	34	in	in	ADP
cana-3715	38	35	image	image	NOUN
cana-3715	38	36	patches	patch	NOUN
cana-3715	38	37	,	,	PUNCT
cana-3715	38	38	achieving	achieve	VERB
cana-3715	38	39	state	state	NOUN
cana-3715	38	40	-	-	PUNCT
cana-3715	38	41	of	of	ADP
cana-3715	38	42	-	-	PUNCT
cana-3715	38	43	the	the	DET
cana-3715	38	44	-	-	PUNCT
cana-3715	38	45	art	art	NOUN
cana-3715	38	46	results	result	NOUN
cana-3715	38	47	on	on	ADP
cana-3715	38	48	benchmark	benchmark	ADJ
cana-3715	38	49	communications	communication	NOUN
cana-3715	38	50	on	on	ADP
cana-3715	38	51	applied	apply	VERB
cana-3715	38	52	nonlinear	nonlinear	ADJ
cana-3715	38	53	analysis	analysis	NOUN
cana-3715	38	54	issn	issn	NOUN
cana-3715	38	55	:	:	PUNCT
cana-3715	38	56	1074	1074	NUM
cana-3715	38	57	-	-	PUNCT
cana-3715	38	58	133x	133x	NUM
cana-3715	38	59	vol	vol	NOUN
cana-3715	38	60	32	32	NUM
cana-3715	38	61	no	no	NOUN
cana-3715	38	62	.	.	PUNCT
cana-3715	39	1	8s	8s	PROPN
cana-3715	39	2	(	(	PUNCT
cana-3715	39	3	2025	2025	NUM
cana-3715	39	4	)	)	PUNCT
cana-3715	39	5	539	539	NUM
cana-3715	39	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3715	39	7	datasets	dataset	NOUN
cana-3715	40	1	[	[	X
cana-3715	40	2	3	3	NUM
cana-3715	40	3	]	]	PUNCT
cana-3715	40	4	.	.	PUNCT
cana-3715	41	1	subsequent	subsequent	ADJ
cana-3715	41	2	work	work	NOUN
cana-3715	41	3	by	by	ADP
cana-3715	41	4	wang	wang	PROPN
cana-3715	41	5	et	et	PROPN
cana-3715	41	6	al	al	PROPN
cana-3715	41	7	.	.	PROPN
cana-3715	41	8	focused	focus	VERB
cana-3715	41	9	on	on	ADP
cana-3715	41	10	applying	apply	VERB
cana-3715	41	11	vits	vit	NOUN
cana-3715	41	12	to	to	PART
cana-3715	41	13	gi	gi	VERB
cana-3715	41	14	disease	disease	NOUN
cana-3715	41	15	detection	detection	NOUN
cana-3715	41	16	,	,	PUNCT
cana-3715	41	17	where	where	SCONJ
cana-3715	41	18	the	the	DET
cana-3715	41	19	model	model	NOUN
cana-3715	41	20	’s	’s	PART
cana-3715	41	21	attention	attention	NOUN
cana-3715	41	22	mechanisms	mechanism	NOUN
cana-3715	41	23	were	be	AUX
cana-3715	41	24	critical	critical	ADJ
cana-3715	41	25	in	in	ADP
cana-3715	41	26	identifying	identify	VERB
cana-3715	41	27	intricate	intricate	ADJ
cana-3715	41	28	patterns	pattern	NOUN
cana-3715	41	29	within	within	ADP
cana-3715	41	30	endoscopic	endoscopic	ADJ
cana-3715	41	31	images	image	NOUN
cana-3715	41	32	[	[	X
cana-3715	41	33	12	12	NUM
cana-3715	41	34	]	]	PUNCT
cana-3715	41	35	.	.	PUNCT
cana-3715	42	1	swin	swin	PROPN
cana-3715	42	2	transformers	transformer	NOUN
cana-3715	42	3	,	,	PUNCT
cana-3715	42	4	introduced	introduce	VERB
cana-3715	42	5	by	by	ADP
cana-3715	42	6	liu	liu	PROPN
cana-3715	42	7	et	et	PROPN
cana-3715	42	8	al	al	PROPN
cana-3715	42	9	.	.	PROPN
cana-3715	42	10	,	,	PUNCT
cana-3715	42	11	offered	offer	VERB
cana-3715	42	12	further	further	ADJ
cana-3715	42	13	enhancements	enhancement	NOUN
cana-3715	42	14	by	by	ADP
cana-3715	42	15	incorporating	incorporate	VERB
cana-3715	42	16	shifted	shift	VERB
cana-3715	42	17	windows	window	NOUN
cana-3715	42	18	to	to	PART
cana-3715	42	19	model	model	VERB
cana-3715	42	20	both	both	DET
cana-3715	42	21	local	local	ADJ
cana-3715	42	22	and	and	CCONJ
cana-3715	42	23	global	global	ADJ
cana-3715	42	24	interactions	interaction	NOUN
cana-3715	42	25	,	,	PUNCT
cana-3715	42	26	an	an	DET
cana-3715	42	27	advancement	advancement	NOUN
cana-3715	42	28	that	that	PRON
cana-3715	42	29	has	have	AUX
cana-3715	42	30	proven	prove	VERB
cana-3715	42	31	beneficial	beneficial	ADJ
cana-3715	42	32	in	in	ADP
cana-3715	42	33	capturing	capture	VERB
cana-3715	42	34	complex	complex	ADJ
cana-3715	42	35	gi	gi	NOUN
cana-3715	42	36	structures	structure	NOUN
cana-3715	42	37	[	[	X
cana-3715	42	38	4	4	NUM
cana-3715	42	39	]	]	PUNCT
cana-3715	42	40	.	.	PUNCT
cana-3715	43	1	the	the	DET
cana-3715	43	2	architecture	architecture	NOUN
cana-3715	43	3	has	have	AUX
cana-3715	43	4	shown	show	VERB
cana-3715	43	5	promise	promise	NOUN
cana-3715	43	6	in	in	ADP
cana-3715	43	7	medical	medical	ADJ
cana-3715	43	8	imaging	imaging	NOUN
cana-3715	43	9	tasks	task	NOUN
cana-3715	43	10	due	due	ADP
cana-3715	43	11	to	to	ADP
cana-3715	43	12	its	its	PRON
cana-3715	43	13	ability	ability	NOUN
cana-3715	43	14	to	to	PART
cana-3715	43	15	reduce	reduce	VERB
cana-3715	43	16	computational	computational	ADJ
cana-3715	43	17	requirements	requirement	NOUN
cana-3715	43	18	while	while	SCONJ
cana-3715	43	19	maintaining	maintain	VERB
cana-3715	43	20	performance	performance	NOUN
cana-3715	43	21	[	[	X
cana-3715	43	22	6	6	NUM
cana-3715	43	23	]	]	PUNCT
cana-3715	43	24	.	.	PUNCT
cana-3715	44	1	recent	recent	ADJ
cana-3715	44	2	comparative	comparative	ADJ
cana-3715	44	3	studies	study	NOUN
cana-3715	44	4	underscore	underscore	VERB
cana-3715	44	5	the	the	DET
cana-3715	44	6	potential	potential	NOUN
cana-3715	44	7	of	of	ADP
cana-3715	44	8	these	these	DET
cana-3715	44	9	transfer	transfer	NOUN
cana-3715	44	10	learning	learning	NOUN
cana-3715	44	11	models	model	NOUN
cana-3715	44	12	,	,	PUNCT
cana-3715	44	13	yet	yet	CCONJ
cana-3715	44	14	emphasize	emphasize	VERB
cana-3715	44	15	the	the	DET
cana-3715	44	16	necessity	necessity	NOUN
cana-3715	44	17	of	of	ADP
cana-3715	44	18	tuning	tuning	NOUN
cana-3715	44	19	and	and	CCONJ
cana-3715	44	20	augmentation	augmentation	NOUN
cana-3715	44	21	when	when	SCONJ
cana-3715	44	22	deploying	deploy	VERB
cana-3715	44	23	such	such	ADJ
cana-3715	44	24	architectures	architecture	NOUN
cana-3715	44	25	in	in	ADP
cana-3715	44	26	specialized	specialized	ADJ
cana-3715	44	27	domains	domain	NOUN
cana-3715	44	28	[	[	X
cana-3715	44	29	2	2	NUM
cana-3715	44	30	]	]	PUNCT
cana-3715	44	31	.	.	PUNCT
cana-3715	45	1	b.	b.	PROPN
cana-3715	45	2	data	data	PROPN
cana-3715	45	3	augmentation	augmentation	NOUN
cana-3715	45	4	techniques	technique	NOUN
cana-3715	45	5	for	for	ADP
cana-3715	45	6	medical	medical	ADJ
cana-3715	45	7	imaging	imaging	NOUN
cana-3715	45	8	data	datum	NOUN
cana-3715	45	9	augmentation	augmentation	NOUN
cana-3715	45	10	has	have	AUX
cana-3715	45	11	emerged	emerge	VERB
cana-3715	45	12	as	as	ADP
cana-3715	45	13	a	a	DET
cana-3715	45	14	crucial	crucial	ADJ
cana-3715	45	15	technique	technique	NOUN
cana-3715	45	16	for	for	ADP
cana-3715	45	17	improving	improve	VERB
cana-3715	45	18	model	model	NOUN
cana-3715	45	19	generalizability	generalizability	NOUN
cana-3715	45	20	in	in	ADP
cana-3715	45	21	medical	medical	ADJ
cana-3715	45	22	image	image	NOUN
cana-3715	45	23	analysis	analysis	NOUN
cana-3715	45	24	,	,	PUNCT
cana-3715	45	25	particularly	particularly	ADV
cana-3715	45	26	for	for	ADP
cana-3715	45	27	domains	domain	NOUN
cana-3715	45	28	like	like	ADP
cana-3715	45	29	gi	gi	NOUN
cana-3715	45	30	endoscopy	endoscopy	NOUN
cana-3715	45	31	,	,	PUNCT
cana-3715	45	32	where	where	SCONJ
cana-3715	45	33	image	image	NOUN
cana-3715	45	34	variation	variation	NOUN
cana-3715	45	35	is	be	AUX
cana-3715	45	36	high	high	ADJ
cana-3715	45	37	[	[	X
cana-3715	45	38	7	7	NUM
cana-3715	45	39	]	]	PUNCT
cana-3715	45	40	.	.	PUNCT
cana-3715	46	1	various	various	ADJ
cana-3715	46	2	augmentation	augmentation	NOUN
cana-3715	46	3	techniques	technique	NOUN
cana-3715	46	4	,	,	PUNCT
cana-3715	46	5	including	include	VERB
cana-3715	46	6	rotation	rotation	NOUN
cana-3715	46	7	,	,	PUNCT
cana-3715	46	8	scaling	scaling	NOUN
cana-3715	46	9	,	,	PUNCT
cana-3715	46	10	brightness	brightness	NOUN
cana-3715	46	11	adjustment	adjustment	NOUN
cana-3715	46	12	,	,	PUNCT
cana-3715	46	13	and	and	CCONJ
cana-3715	46	14	contrast	contrast	NOUN
cana-3715	46	15	enhancement	enhancement	NOUN
cana-3715	46	16	,	,	PUNCT
cana-3715	46	17	have	have	AUX
cana-3715	46	18	been	be	AUX
cana-3715	46	19	implemented	implement	VERB
cana-3715	46	20	to	to	PART
cana-3715	46	21	diversify	diversify	VERB
cana-3715	46	22	training	training	NOUN
cana-3715	46	23	data	datum	NOUN
cana-3715	46	24	and	and	CCONJ
cana-3715	46	25	reduce	reduce	VERB
cana-3715	46	26	overfitting	overfitte	VERB
cana-3715	46	27	[	[	X
cana-3715	46	28	8	8	NUM
cana-3715	46	29	]	]	PUNCT
cana-3715	46	30	.	.	PUNCT
cana-3715	47	1	alam	alam	PROPN
cana-3715	47	2	et	et	PROPN
cana-3715	47	3	al	al	PROPN
cana-3715	47	4	.	.	PROPN
cana-3715	47	5	investigated	investigate	VERB
cana-3715	47	6	the	the	DET
cana-3715	47	7	effect	effect	NOUN
cana-3715	47	8	of	of	ADP
cana-3715	47	9	augmentation	augmentation	NOUN
cana-3715	47	10	on	on	ADP
cana-3715	47	11	gi	gi	NOUN
cana-3715	47	12	endoscopy	endoscopy	NOUN
cana-3715	47	13	images	image	NOUN
cana-3715	47	14	and	and	CCONJ
cana-3715	47	15	found	find	VERB
cana-3715	47	16	that	that	SCONJ
cana-3715	47	17	systematic	systematic	ADJ
cana-3715	47	18	augmentation	augmentation	NOUN
cana-3715	47	19	led	lead	VERB
cana-3715	47	20	to	to	ADP
cana-3715	47	21	a	a	DET
cana-3715	47	22	marked	mark	VERB
cana-3715	47	23	increase	increase	NOUN
cana-3715	47	24	in	in	ADP
cana-3715	47	25	diagnostic	diagnostic	ADJ
cana-3715	47	26	performance	performance	NOUN
cana-3715	47	27	,	,	PUNCT
cana-3715	47	28	particularly	particularly	ADV
cana-3715	47	29	when	when	SCONJ
cana-3715	47	30	combined	combine	VERB
cana-3715	47	31	with	with	ADP
cana-3715	47	32	transfer	transfer	NOUN
cana-3715	47	33	learning	learning	NOUN
cana-3715	47	34	models	model	NOUN
cana-3715	47	35	[	[	X
cana-3715	47	36	6	6	NUM
cana-3715	47	37	]	]	PUNCT
cana-3715	47	38	.	.	PUNCT
cana-3715	48	1	advanced	advanced	ADJ
cana-3715	48	2	techniques	technique	NOUN
cana-3715	48	3	,	,	PUNCT
cana-3715	48	4	such	such	ADJ
cana-3715	48	5	as	as	ADP
cana-3715	48	6	elastic	elastic	ADJ
cana-3715	48	7	transformations	transformation	NOUN
cana-3715	48	8	and	and	CCONJ
cana-3715	48	9	randomized	randomize	VERB
cana-3715	48	10	cropping	cropping	NOUN
cana-3715	48	11	,	,	PUNCT
cana-3715	48	12	have	have	AUX
cana-3715	48	13	further	far	ADV
cana-3715	48	14	strengthened	strengthen	VERB
cana-3715	48	15	data	datum	NOUN
cana-3715	48	16	augmentation	augmentation	NOUN
cana-3715	48	17	practices	practice	NOUN
cana-3715	48	18	.	.	PUNCT
cana-3715	49	1	for	for	ADP
cana-3715	49	2	instance	instance	NOUN
cana-3715	49	3	,	,	PUNCT
cana-3715	49	4	takahashi	takahashi	PROPN
cana-3715	49	5	et	et	PROPN
cana-3715	49	6	al	al	PROPN
cana-3715	49	7	.	.	PROPN
cana-3715	49	8	demonstrated	demonstrate	VERB
cana-3715	49	9	that	that	SCONJ
cana-3715	49	10	elastic	elastic	ADJ
cana-3715	49	11	transformations	transformation	NOUN
cana-3715	49	12	improved	improve	VERB
cana-3715	49	13	the	the	DET
cana-3715	49	14	recognition	recognition	NOUN
cana-3715	49	15	of	of	ADP
cana-3715	49	16	subtle	subtle	ADJ
cana-3715	49	17	gi	gi	NOUN
cana-3715	49	18	lesions	lesion	NOUN
cana-3715	49	19	in	in	ADP
cana-3715	49	20	endoscopic	endoscopic	ADJ
cana-3715	49	21	imagery	imagery	NOUN
cana-3715	49	22	[	[	X
cana-3715	49	23	7	7	NUM
cana-3715	49	24	]	]	PUNCT
cana-3715	49	25	.	.	PUNCT
cana-3715	50	1	these	these	DET
cana-3715	50	2	augmentation	augmentation	NOUN
cana-3715	50	3	strategies	strategy	NOUN
cana-3715	50	4	are	be	AUX
cana-3715	50	5	instrumental	instrumental	ADJ
cana-3715	50	6	in	in	ADP
cana-3715	50	7	developing	develop	VERB
cana-3715	50	8	robust	robust	ADJ
cana-3715	50	9	models	model	NOUN
cana-3715	50	10	capable	capable	ADJ
cana-3715	50	11	of	of	ADP
cana-3715	50	12	generalizing	generalize	VERB
cana-3715	50	13	across	across	ADP
cana-3715	50	14	diverse	diverse	ADJ
cana-3715	50	15	gi	gi	NOUN
cana-3715	51	1	pathologies	pathology	NOUN
cana-3715	51	2	,	,	PUNCT
cana-3715	51	3	underscoring	underscore	VERB
cana-3715	51	4	the	the	DET
cana-3715	51	5	need	need	NOUN
cana-3715	51	6	for	for	ADP
cana-3715	51	7	dataset	dataset	ADJ
cana-3715	51	8	enhancement	enhancement	NOUN
cana-3715	51	9	in	in	ADP
cana-3715	51	10	transfer	transfer	NOUN
cana-3715	51	11	learning	learning	NOUN
cana-3715	51	12	applications	application	NOUN
cana-3715	51	13	.	.	PUNCT
cana-3715	52	1	c.	c.	PROPN
cana-3715	52	2	deep	deep	ADJ
cana-3715	52	3	learning	learn	VERB
cana-3715	52	4	for	for	ADP
cana-3715	52	5	gi	gi	NOUN
cana-3715	52	6	disease	disease	NOUN
cana-3715	52	7	detection	detection	NOUN
cana-3715	52	8	deep	deep	ADJ
cana-3715	52	9	learning	learning	NOUN
cana-3715	52	10	models	model	NOUN
cana-3715	52	11	for	for	ADP
cana-3715	52	12	gi	gi	NOUN
cana-3715	52	13	disease	disease	NOUN
cana-3715	52	14	detection	detection	NOUN
cana-3715	52	15	have	have	AUX
cana-3715	52	16	demonstrated	demonstrate	VERB
cana-3715	52	17	a	a	DET
cana-3715	52	18	considerable	considerable	ADJ
cana-3715	52	19	improvement	improvement	NOUN
cana-3715	52	20	in	in	ADP
cana-3715	52	21	diagnosis	diagnosis	NOUN
cana-3715	52	22	accuracy	accuracy	NOUN
cana-3715	52	23	across	across	ADP
cana-3715	52	24	various	various	ADJ
cana-3715	52	25	gi	gi	NOUN
cana-3715	52	26	conditions	condition	NOUN
cana-3715	52	27	,	,	PUNCT
cana-3715	52	28	including	include	VERB
cana-3715	52	29	polyps	polyp	NOUN
cana-3715	52	30	,	,	PUNCT
cana-3715	52	31	esophagitis	esophagitis	NOUN
cana-3715	52	32	,	,	PUNCT
cana-3715	52	33	and	and	CCONJ
cana-3715	52	34	gastric	gastric	ADJ
cana-3715	52	35	cancer	cancer	NOUN
cana-3715	52	36	[	[	X
cana-3715	52	37	2	2	NUM
cana-3715	52	38	]	]	PUNCT
cana-3715	52	39	,	,	PUNCT
cana-3715	52	40	[	[	X
cana-3715	52	41	9	9	NUM
cana-3715	52	42	]	]	PUNCT
cana-3715	52	43	.	.	PUNCT
cana-3715	53	1	the	the	DET
cana-3715	53	2	gastrovision	gastrovision	NOUN
cana-3715	53	3	dataset	dataset	VERB
cana-3715	53	4	,	,	PUNCT
cana-3715	53	5	used	use	VERB
cana-3715	53	6	extensively	extensively	ADV
cana-3715	53	7	in	in	ADP
cana-3715	53	8	gi	gi	NOUN
cana-3715	53	9	diagnostics	diagnostic	NOUN
cana-3715	53	10	,	,	PUNCT
cana-3715	53	11	has	have	AUX
cana-3715	53	12	been	be	AUX
cana-3715	53	13	augmented	augment	VERB
cana-3715	53	14	with	with	ADP
cana-3715	53	15	new	new	ADJ
cana-3715	53	16	classes	class	NOUN
cana-3715	53	17	such	such	ADJ
cana-3715	53	18	as	as	ADP
cana-3715	53	19	neoplastic	neoplastic	ADJ
cana-3715	53	20	growths	growth	NOUN
cana-3715	53	21	,	,	PUNCT
cana-3715	53	22	enhancing	enhance	VERB
cana-3715	53	23	its	its	PRON
cana-3715	53	24	diagnostic	diagnostic	ADJ
cana-3715	53	25	applicability	applicability	NOUN
cana-3715	53	26	and	and	CCONJ
cana-3715	53	27	enabling	enable	VERB
cana-3715	53	28	better	well	ADJ
cana-3715	53	29	model	model	NOUN
cana-3715	53	30	generalization	generalization	NOUN
cana-3715	54	1	[	[	X
cana-3715	54	2	2	2	NUM
cana-3715	54	3	]	]	PUNCT
cana-3715	54	4	.	.	PUNCT
cana-3715	55	1	chen	chen	PROPN
cana-3715	55	2	et	et	PROPN
cana-3715	55	3	al	al	PROPN
cana-3715	55	4	.	.	PROPN
cana-3715	55	5	applied	apply	VERB
cana-3715	55	6	efficientnet	efficientnet	NOUN
cana-3715	55	7	and	and	CCONJ
cana-3715	55	8	vision	vision	NOUN
cana-3715	55	9	transformers	transformer	NOUN
cana-3715	55	10	on	on	ADP
cana-3715	55	11	this	this	DET
cana-3715	55	12	dataset	dataset	NOUN
cana-3715	55	13	,	,	PUNCT
cana-3715	55	14	achieving	achieve	VERB
cana-3715	55	15	notable	notable	ADJ
cana-3715	55	16	improvements	improvement	NOUN
cana-3715	55	17	in	in	ADP
cana-3715	55	18	classification	classification	NOUN
cana-3715	55	19	accuracy	accuracy	NOUN
cana-3715	55	20	through	through	ADP
cana-3715	55	21	a	a	DET
cana-3715	55	22	combination	combination	NOUN
cana-3715	55	23	of	of	ADP
cana-3715	55	24	transfer	transfer	NOUN
cana-3715	55	25	learning	learning	NOUN
cana-3715	55	26	and	and	CCONJ
cana-3715	55	27	specialized	specialized	ADJ
cana-3715	55	28	augmentation	augmentation	NOUN
cana-3715	55	29	[	[	X
cana-3715	55	30	10	10	NUM
cana-3715	55	31	]	]	PUNCT
cana-3715	55	32	.	.	PUNCT
cana-3715	56	1	this	this	DET
cana-3715	56	2	enhanced	enhance	VERB
cana-3715	56	3	dataset	dataset	NOUN
cana-3715	56	4	allowed	allow	VERB
cana-3715	56	5	models	model	NOUN
cana-3715	56	6	to	to	PART
cana-3715	56	7	distinguish	distinguish	VERB
cana-3715	56	8	complex	complex	ADJ
cana-3715	56	9	gi	gi	NOUN
cana-3715	56	10	conditions	condition	NOUN
cana-3715	56	11	with	with	ADP
cana-3715	56	12	higher	high	ADJ
cana-3715	56	13	sensitivity	sensitivity	NOUN
cana-3715	56	14	and	and	CCONJ
cana-3715	56	15	specificity	specificity	NOUN
cana-3715	56	16	,	,	PUNCT
cana-3715	56	17	addressing	address	VERB
cana-3715	56	18	a	a	DET
cana-3715	56	19	key	key	ADJ
cana-3715	56	20	challenge	challenge	NOUN
cana-3715	56	21	in	in	ADP
cana-3715	56	22	automated	automate	VERB
cana-3715	56	23	diagnostics	diagnostic	NOUN
cana-3715	56	24	.	.	PUNCT
cana-3715	57	1	a	a	DET
cana-3715	57	2	summary	summary	NOUN
cana-3715	57	3	of	of	ADP
cana-3715	57	4	recent	recent	ADJ
cana-3715	57	5	approaches	approach	NOUN
cana-3715	57	6	to	to	PART
cana-3715	57	7	gi	gi	VERB
cana-3715	57	8	disease	disease	NOUN
cana-3715	57	9	detection	detection	NOUN
cana-3715	57	10	,	,	PUNCT
cana-3715	57	11	including	include	VERB
cana-3715	57	12	transfer	transfer	NOUN
cana-3715	57	13	learning	learning	NOUN
cana-3715	57	14	models	model	NOUN
cana-3715	57	15	and	and	CCONJ
cana-3715	57	16	aug	aug	NOUN
cana-3715	57	17	mentation	mentation	NOUN
cana-3715	57	18	strategies	strategy	NOUN
cana-3715	57	19	,	,	PUNCT
cana-3715	57	20	is	be	AUX
cana-3715	57	21	provided	provide	VERB
cana-3715	57	22	in	in	ADP
cana-3715	57	23	table	table	NOUN
cana-3715	57	24	i.	i.	NOUN
cana-3715	57	25	this	this	DET
cana-3715	57	26	table	table	NOUN
cana-3715	57	27	highlights	highlight	VERB
cana-3715	57	28	the	the	DET
cana-3715	57	29	performance	performance	NOUN
cana-3715	57	30	metrics	metric	NOUN
cana-3715	57	31	across	across	ADP
cana-3715	57	32	different	different	ADJ
cana-3715	57	33	studies	study	NOUN
cana-3715	57	34	,	,	PUNCT
cana-3715	57	35	underscoring	underscore	VERB
cana-3715	57	36	the	the	DET
cana-3715	57	37	importance	importance	NOUN
cana-3715	57	38	of	of	ADP
cana-3715	57	39	combining	combine	VERB
cana-3715	57	40	advanced	advanced	ADJ
cana-3715	57	41	model	model	NOUN
cana-3715	57	42	architectures	architecture	NOUN
cana-3715	57	43	with	with	ADP
cana-3715	57	44	structured	structured	ADJ
cana-3715	57	45	data	datum	NOUN
cana-3715	57	46	augmentation	augmentation	NOUN
cana-3715	57	47	.	.	PUNCT
cana-3715	58	1	despite	despite	SCONJ
cana-3715	58	2	these	these	DET
cana-3715	58	3	advancements	advancement	NOUN
cana-3715	58	4	,	,	PUNCT
cana-3715	58	5	limitations	limitation	NOUN
cana-3715	58	6	remain	remain	VERB
cana-3715	58	7	in	in	ADP
cana-3715	58	8	current	current	ADJ
cana-3715	58	9	approaches	approach	NOUN
cana-3715	58	10	.	.	PUNCT
cana-3715	59	1	most	most	ADJ
cana-3715	59	2	studies	study	NOUN
cana-3715	59	3	have	have	AUX
cana-3715	59	4	primarily	primarily	ADV
cana-3715	59	5	focused	focus	VERB
cana-3715	59	6	on	on	ADP
cana-3715	59	7	individual	individual	ADJ
cana-3715	59	8	models	model	NOUN
cana-3715	59	9	without	without	ADP
cana-3715	59	10	leveraging	leverage	VERB
cana-3715	59	11	the	the	DET
cana-3715	59	12	benefits	benefit	NOUN
cana-3715	59	13	of	of	ADP
cana-3715	59	14	ensemble	ensemble	ADJ
cana-3715	59	15	learning	learning	NOUN
cana-3715	59	16	,	,	PUNCT
cana-3715	59	17	which	which	PRON
cana-3715	59	18	has	have	AUX
cana-3715	59	19	been	be	AUX
cana-3715	59	20	shown	show	VERB
cana-3715	59	21	to	to	PART
cana-3715	59	22	further	far	ADV
cana-3715	59	23	enhance	enhance	VERB
cana-3715	59	24	performance	performance	NOUN
cana-3715	59	25	in	in	ADP
cana-3715	59	26	other	other	ADJ
cana-3715	59	27	domains	domain	NOUN
cana-3715	59	28	.	.	PUNCT
cana-3715	60	1	additionally	additionally	ADV
cana-3715	60	2	,	,	PUNCT
cana-3715	60	3	many	many	ADJ
cana-3715	60	4	existing	exist	VERB
cana-3715	60	5	models	model	NOUN
cana-3715	60	6	lack	lack	VERB
cana-3715	60	7	communications	communication	NOUN
cana-3715	60	8	on	on	ADP
cana-3715	60	9	applied	apply	VERB
cana-3715	60	10	nonlinear	nonlinear	ADJ
cana-3715	60	11	analysis	analysis	NOUN
cana-3715	60	12	issn	issn	NOUN
cana-3715	60	13	:	:	PUNCT
cana-3715	60	14	1074	1074	NUM
cana-3715	60	15	-	-	PUNCT
cana-3715	60	16	133x	133x	NUM
cana-3715	60	17	vol	vol	NOUN
cana-3715	60	18	32	32	NUM
cana-3715	60	19	no	no	NOUN
cana-3715	60	20	.	.	PUNCT
cana-3715	61	1	8s	8s	PROPN
cana-3715	61	2	(	(	PUNCT
cana-3715	61	3	2025	2025	NUM
cana-3715	61	4	)	)	PUNCT
cana-3715	61	5	540	540	NUM
cana-3715	61	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3715	61	7	adequate	adequate	ADJ
cana-3715	61	8	evaluation	evaluation	NOUN
cana-3715	61	9	on	on	ADP
cana-3715	61	10	augmented	augment	VERB
cana-3715	61	11	datasets	dataset	NOUN
cana-3715	61	12	that	that	PRON
cana-3715	61	13	comprehensively	comprehensively	ADV
cana-3715	61	14	represent	represent	VERB
cana-3715	61	15	real	real	ADJ
cana-3715	61	16	-	-	PUNCT
cana-3715	61	17	world	world	NOUN
cana-3715	61	18	clinical	clinical	ADJ
cana-3715	61	19	diversity	diversity	NOUN
cana-3715	61	20	.	.	PUNCT
cana-3715	62	1	this	this	DET
cana-3715	62	2	study	study	NOUN
cana-3715	62	3	addresses	address	VERB
cana-3715	62	4	these	these	DET
cana-3715	62	5	limitations	limitation	NOUN
cana-3715	62	6	by	by	ADP
cana-3715	62	7	proposing	propose	VERB
cana-3715	62	8	a	a	DET
cana-3715	62	9	phased	phased	ADJ
cana-3715	62	10	approach	approach	NOUN
cana-3715	62	11	to	to	ADP
cana-3715	62	12	gi	gi	VERB
cana-3715	62	13	disease	disease	NOUN
cana-3715	62	14	detection	detection	NOUN
cana-3715	62	15	,	,	PUNCT
cana-3715	62	16	integrating	integrate	VERB
cana-3715	62	17	ensemble	ensemble	ADJ
cana-3715	62	18	methods	method	NOUN
cana-3715	62	19	with	with	ADP
cana-3715	62	20	optimized	optimize	VERB
cana-3715	62	21	transfer	transfer	NOUN
cana-3715	62	22	learning	learning	NOUN
cana-3715	62	23	models	model	NOUN
cana-3715	62	24	,	,	PUNCT
cana-3715	62	25	and	and	CCONJ
cana-3715	62	26	applying	apply	VERB
cana-3715	62	27	a	a	DET
cana-3715	62	28	broad	broad	ADJ
cana-3715	62	29	range	range	NOUN
cana-3715	62	30	of	of	ADP
cana-3715	62	31	augmentation	augmentation	NOUN
cana-3715	62	32	techniques	technique	NOUN
cana-3715	62	33	tailored	tailor	VERB
cana-3715	62	34	to	to	ADP
cana-3715	62	35	the	the	DET
cana-3715	62	36	gastrovision	gastrovision	NOUN
cana-3715	62	37	dataset	dataset	VERB
cana-3715	62	38	.	.	PUNCT
cana-3715	63	1	table	table	NOUN
cana-3715	63	2	i	i	PRON
cana-3715	63	3	summary	summary	NOUN
cana-3715	63	4	of	of	ADP
cana-3715	63	5	related	related	ADJ
cana-3715	63	6	work	work	NOUN
cana-3715	63	7	in	in	ADP
cana-3715	63	8	gi	gi	NOUN
cana-3715	63	9	disease	disease	NOUN
cana-3715	63	10	detection	detection	NOUN
cana-3715	63	11	reference	reference	NOUN
cana-3715	63	12	model	model	NOUN
cana-3715	63	13	dataset	dataset	NOUN
cana-3715	63	14	augmentation	augmentation	NOUN
cana-3715	63	15	key	key	ADJ
cana-3715	63	16	metrics	metric	NOUN
cana-3715	63	17	tan	tan	NOUN
cana-3715	63	18	and	and	CCONJ
cana-3715	63	19	le	le	X
cana-3715	64	1	[	[	X
cana-3715	64	2	1	1	NUM
cana-3715	64	3	]	]	PUNCT
cana-3715	64	4	efficientnet	efficientnet	ADJ
cana-3715	64	5	imagenet	imagenet	NOUN
cana-3715	64	6	scaling	scaling	NOUN
cana-3715	64	7	,	,	PUNCT
cana-3715	64	8	brightness	brightness	ADJ
cana-3715	64	9	accuracy	accuracy	NOUN
cana-3715	64	10	:	:	PUNCT
cana-3715	64	11	85.4	85.4	NUM
cana-3715	64	12	%	%	NOUN
cana-3715	64	13	zou	zou	PROPN
cana-3715	64	14	et	et	NOUN
cana-3715	64	15	al	al	PROPN
cana-3715	64	16	.	.	PUNCT
cana-3715	65	1	[	[	X
cana-3715	65	2	5	5	NUM
cana-3715	65	3	]	]	X
cana-3715	65	4	efficientnet	efficientnet	NOUN
cana-3715	65	5	gi	gi	NOUN
cana-3715	65	6	dataset	dataset	VERB
cana-3715	65	7	cropping	cropping	NOUN
cana-3715	65	8	,	,	PUNCT
cana-3715	65	9	rotation	rotation	NOUN
cana-3715	65	10	accuracy	accuracy	NOUN
cana-3715	65	11	:	:	PUNCT
cana-3715	65	12	88.1	88.1	NUM
cana-3715	65	13	%	%	NOUN
cana-3715	65	14	dosovitskiy	dosovitskiy	NOUN
cana-3715	65	15	et	et	PROPN
cana-3715	65	16	al	al	PROPN
cana-3715	65	17	.	.	PUNCT
cana-3715	66	1	[	[	X
cana-3715	66	2	3	3	X
cana-3715	66	3	]	]	X
cana-3715	66	4	vision	vision	NOUN
cana-3715	66	5	transformer	transformer	NOUN
cana-3715	66	6	imagenet	imagenet	NOUN
cana-3715	66	7	n	n	CCONJ
cana-3715	66	8	/	/	SYM
cana-3715	66	9	a	a	DET
cana-3715	66	10	top-1	top-1	NOUN
cana-3715	66	11	accuracy	accuracy	NOUN
cana-3715	66	12	:	:	PUNCT
cana-3715	66	13	88.6	88.6	NUM
cana-3715	66	14	%	%	NOUN
cana-3715	66	15	wang	wang	PROPN
cana-3715	66	16	et	et	PROPN
cana-3715	66	17	al	al	PROPN
cana-3715	66	18	.	.	PUNCT
cana-3715	67	1	[	[	X
cana-3715	67	2	12	12	NUM
cana-3715	67	3	]	]	PUNCT
cana-3715	67	4	vision	vision	NOUN
cana-3715	67	5	transformer	transformer	NOUN
cana-3715	67	6	gi	gi	ADP
cana-3715	67	7	dataset	dataset	NOUN
cana-3715	67	8	rotation	rotation	NOUN
cana-3715	67	9	,	,	PUNCT
cana-3715	67	10	contrast	contrast	VERB
cana-3715	67	11	accuracy	accuracy	NOUN
cana-3715	67	12	:	:	PUNCT
cana-3715	67	13	89.2	89.2	NUM
cana-3715	67	14	%	%	NOUN
cana-3715	67	15	liu	liu	PROPN
cana-3715	67	16	et	et	PROPN
cana-3715	67	17	al	al	PROPN
cana-3715	67	18	.	.	PUNCT
cana-3715	68	1	[	[	X
cana-3715	68	2	4	4	NUM
cana-3715	68	3	]	]	PUNCT
cana-3715	68	4	swin	swin	PROPN
cana-3715	68	5	transformer	transformer	PROPN
cana-3715	68	6	medical	medical	ADJ
cana-3715	68	7	imagery	imagery	NOUN
cana-3715	68	8	shifted	shift	VERB
cana-3715	68	9	window	window	NOUN
cana-3715	68	10	auroc	auroc	NOUN
cana-3715	68	11	:	:	PUNCT
cana-3715	68	12	0.91	0.91	NUM
cana-3715	68	13	takahashi	takahashi	PROPN
cana-3715	68	14	et	et	PROPN
cana-3715	68	15	al	al	PROPN
cana-3715	68	16	.	.	PUNCT
cana-3715	69	1	[	[	X
cana-3715	69	2	7	7	X
cana-3715	69	3	]	]	X
cana-3715	69	4	efficientnet	efficientnet	NOUN
cana-3715	69	5	gi	gi	NOUN
cana-3715	69	6	endoscopy	endoscopy	VERB
cana-3715	69	7	elastic	elastic	ADJ
cana-3715	69	8	transformations	transformation	NOUN
cana-3715	69	9	sensitivity	sensitivity	NOUN
cana-3715	69	10	:	:	PUNCT
cana-3715	69	11	92.5	92.5	NUM
cana-3715	69	12	%	%	NOUN
cana-3715	69	13	alam	alam	PROPN
cana-3715	69	14	et	et	PROPN
cana-3715	69	15	al	al	PROPN
cana-3715	69	16	.	.	PUNCT
cana-3715	70	1	[	[	X
cana-3715	70	2	6	6	NUM
cana-3715	70	3	]	]	PUNCT
cana-3715	70	4	swin	swin	PROPN
cana-3715	70	5	transformer	transformer	NOUN
cana-3715	70	6	gastrovision	gastrovision	NOUN
cana-3715	70	7	cropping	cropping	NOUN
cana-3715	70	8	,	,	PUNCT
cana-3715	70	9	flip	flip	ADJ
cana-3715	70	10	precision	precision	NOUN
cana-3715	70	11	:	:	PUNCT
cana-3715	70	12	93.8	93.8	NUM
cana-3715	70	13	%	%	NOUN
cana-3715	70	14	chen	chen	PROPN
cana-3715	70	15	et	et	PROPN
cana-3715	70	16	al	al	PROPN
cana-3715	70	17	.	.	PUNCT
cana-3715	71	1	[	[	X
cana-3715	71	2	10	10	NUM
cana-3715	71	3	]	]	X
cana-3715	71	4	efficientnet	efficientnet	NOUN
cana-3715	71	5	+	+	CCONJ
cana-3715	71	6	vit	vit	ADJ
cana-3715	71	7	gastrovision	gastrovision	NOUN
cana-3715	71	8	rotation	rotation	NOUN
cana-3715	71	9	,	,	PUNCT
cana-3715	71	10	noise	noise	NOUN
cana-3715	71	11	f1	f1	NOUN
cana-3715	71	12	score	score	NOUN
cana-3715	71	13	:	:	PUNCT
cana-3715	71	14	0.85	0.85	NUM
cana-3715	71	15	iii	iii	NOUN
cana-3715	71	16	.	.	PUNCT
cana-3715	71	17	methodology	methodology	NOUN
cana-3715	71	18	this	this	DET
cana-3715	71	19	work	work	NOUN
cana-3715	71	20	focuses	focus	VERB
cana-3715	71	21	on	on	ADP
cana-3715	71	22	the	the	DET
cana-3715	71	23	first	first	ADJ
cana-3715	71	24	phase	phase	NOUN
cana-3715	71	25	of	of	ADP
cana-3715	71	26	a	a	DET
cana-3715	71	27	multistep	multistep	ADJ
cana-3715	71	28	approach	approach	NOUN
cana-3715	71	29	to	to	ADP
cana-3715	71	30	enhancing	enhance	VERB
cana-3715	71	31	gi	gi	NOUN
cana-3715	71	32	disease	disease	NOUN
cana-3715	71	33	detection	detection	NOUN
cana-3715	71	34	.	.	PUNCT
cana-3715	72	1	phase	phase	NOUN
cana-3715	72	2	i	i	PRON
cana-3715	72	3	emphasizes	emphasize	VERB
cana-3715	72	4	data	datum	NOUN
cana-3715	72	5	preprocessing	preprocessing	NOUN
cana-3715	72	6	and	and	CCONJ
cana-3715	72	7	augmentation	augmentation	NOUN
cana-3715	72	8	to	to	PART
cana-3715	72	9	improve	improve	VERB
cana-3715	72	10	model	model	NOUN
cana-3715	72	11	robustness	robustness	NOUN
cana-3715	72	12	.	.	PUNCT
cana-3715	73	1	key	key	ADJ
cana-3715	73	2	steps	step	NOUN
cana-3715	73	3	include	include	VERB
cana-3715	73	4	data	datum	NOUN
cana-3715	73	5	augmentation	augmentation	NOUN
cana-3715	73	6	,	,	PUNCT
cana-3715	73	7	efficientnetv2	efficientnetv2	NOUN
cana-3715	73	8	-	-	PUNCT
cana-3715	73	9	based	base	VERB
cana-3715	73	10	feature	feature	NOUN
cana-3715	73	11	extraction	extraction	NOUN
cana-3715	73	12	,	,	PUNCT
cana-3715	73	13	and	and	CCONJ
cana-3715	73	14	a	a	DET
cana-3715	73	15	detailed	detailed	ADJ
cana-3715	73	16	description	description	NOUN
cana-3715	73	17	of	of	ADP
cana-3715	73	18	the	the	DET
cana-3715	73	19	expanded	expand	VERB
cana-3715	73	20	gastrovision	gastrovision	NOUN
cana-3715	73	21	dataset	dataset	VERB
cana-3715	73	22	.	.	PUNCT
cana-3715	74	1	fig	fig	NOUN
cana-3715	74	2	.	.	PUNCT
cana-3715	75	1	1	1	X
cana-3715	75	2	.	.	X
cana-3715	75	3	workflow	workflow	NOUN
cana-3715	75	4	for	for	ADP
cana-3715	75	5	gi	gi	NOUN
cana-3715	75	6	disease	disease	NOUN
cana-3715	75	7	detection	detection	NOUN
cana-3715	75	8	using	use	VERB
cana-3715	75	9	efficientnetv2	efficientnetv2	NOUN
cana-3715	75	10	-	-	PUNCT
cana-3715	75	11	based	base	VERB
cana-3715	75	12	feature	feature	NOUN
cana-3715	75	13	extraction	extraction	NOUN
cana-3715	75	14	and	and	CCONJ
cana-3715	75	15	data	datum	NOUN
cana-3715	75	16	augmentation	augmentation	NOUN
cana-3715	75	17	techniques	technique	NOUN
cana-3715	75	18	.	.	PUNCT
cana-3715	76	1	communications	communication	NOUN
cana-3715	76	2	on	on	ADP
cana-3715	76	3	applied	apply	VERB
cana-3715	76	4	nonlinear	nonlinear	ADJ
cana-3715	76	5	analysis	analysis	NOUN
cana-3715	76	6	issn	issn	NOUN
cana-3715	76	7	:	:	PUNCT
cana-3715	76	8	1074	1074	NUM
cana-3715	76	9	-	-	PUNCT
cana-3715	76	10	133x	133x	NUM
cana-3715	76	11	vol	vol	NOUN
cana-3715	76	12	32	32	NUM
cana-3715	76	13	no	no	NOUN
cana-3715	76	14	.	.	PUNCT
cana-3715	77	1	8s	8s	PROPN
cana-3715	77	2	(	(	PUNCT
cana-3715	77	3	2025	2025	NUM
cana-3715	77	4	)	)	PUNCT
cana-3715	77	5	541	541	NUM
cana-3715	77	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3715	77	7	algorithm	algorithm	NOUN
cana-3715	77	8	1	1	NUM
cana-3715	77	9	gi	gi	NOUN
cana-3715	77	10	disease	disease	NOUN
cana-3715	77	11	detection	detection	NOUN
cana-3715	77	12	using	use	VERB
cana-3715	77	13	transfer	transfer	NOUN
cana-3715	77	14	learning	learning	NOUN
cana-3715	77	15	and	and	CCONJ
cana-3715	77	16	stacking	stack	VERB
cana-3715	77	17	ensemble	ensemble	ADJ
cana-3715	77	18	1	1	NUM
cana-3715	77	19	:	:	PUNCT
cana-3715	77	20	input	input	NOUN
cana-3715	77	21	:	:	PUNCT
cana-3715	77	22	augmented	augment	VERB
cana-3715	77	23	gastrovision	gastrovision	NOUN
cana-3715	77	24	dataset	dataset	VERB
cana-3715	77	25	with	with	ADP
cana-3715	77	26	gi	gi	NOUN
cana-3715	77	27	image	image	NOUN
cana-3715	77	28	classes	class	NOUN
cana-3715	77	29	2	2	NUM
cana-3715	77	30	:	:	PUNCT
cana-3715	77	31	output	output	NOUN
cana-3715	77	32	:	:	PUNCT
cana-3715	77	33	classified	classified	ADJ
cana-3715	77	34	gi	gi	NOUN
cana-3715	77	35	disease	disease	NOUN
cana-3715	77	36	labels	label	VERB
cana-3715	77	37	with	with	ADP
cana-3715	77	38	optimal	optimal	ADJ
cana-3715	77	39	accuracy	accuracy	NOUN
cana-3715	77	40	3	3	NUM
cana-3715	77	41	:	:	PUNCT
cana-3715	77	42	step	step	NOUN
cana-3715	77	43	1	1	NUM
cana-3715	77	44	:	:	PUNCT
cana-3715	77	45	load	load	NOUN
cana-3715	77	46	and	and	CCONJ
cana-3715	77	47	preprocess	preprocess	NOUN
cana-3715	77	48	data	datum	NOUN
cana-3715	77	49	4	4	NUM
cana-3715	77	50	:	:	PUNCT
cana-3715	77	51	load	load	NOUN
cana-3715	77	52	dataset	dataset	NOUN
cana-3715	77	53	images	image	NOUN
cana-3715	77	54	and	and	CCONJ
cana-3715	77	55	respective	respective	ADJ
cana-3715	77	56	class	class	NOUN
cana-3715	77	57	labels	label	NOUN
cana-3715	77	58	.	.	PUNCT
cana-3715	78	1	5	5	NUM
cana-3715	78	2	:	:	PUNCT
cana-3715	78	3	resize	resize	VERB
cana-3715	78	4	images	image	NOUN
cana-3715	78	5	to	to	ADP
cana-3715	78	6	224x224	224x224	NUM
cana-3715	78	7	pixels	pixel	NOUN
cana-3715	78	8	to	to	PART
cana-3715	78	9	match	match	VERB
cana-3715	78	10	input	input	NOUN
cana-3715	78	11	requirements	requirement	NOUN
cana-3715	78	12	.	.	PUNCT
cana-3715	79	1	6	6	NUM
cana-3715	79	2	:	:	PUNCT
cana-3715	79	3	normalize	normalize	VERB
cana-3715	79	4	pixel	pixel	ADJ
cana-3715	79	5	values	value	NOUN
cana-3715	79	6	to	to	ADP
cana-3715	79	7	the	the	DET
cana-3715	79	8	range	range	NOUN
cana-3715	79	9	[	[	X
cana-3715	79	10	0,1	0,1	NUM
cana-3715	79	11	]	]	PUNCT
cana-3715	79	12	for	for	ADP
cana-3715	79	13	uniformity	uniformity	NOUN
cana-3715	79	14	.	.	PUNCT
cana-3715	80	1	7	7	NUM
cana-3715	80	2	:	:	PUNCT
cana-3715	80	3	step	step	NOUN
cana-3715	80	4	2	2	NUM
cana-3715	80	5	:	:	PUNCT
cana-3715	80	6	data	datum	NOUN
cana-3715	80	7	augmentation	augmentation	NOUN
cana-3715	80	8	8	8	NUM
cana-3715	80	9	:	:	PUNCT
cana-3715	80	10	apply	apply	VERB
cana-3715	80	11	augmentation	augmentation	NOUN
cana-3715	80	12	techniques	technique	NOUN
cana-3715	80	13	(	(	PUNCT
cana-3715	80	14	rotation	rotation	NOUN
cana-3715	80	15	,	,	PUNCT
cana-3715	80	16	scaling	scaling	NOUN
cana-3715	80	17	,	,	PUNCT
cana-3715	80	18	brightness	brightness	NOUN
cana-3715	80	19	adjustment	adjustment	NOUN
cana-3715	80	20	,	,	PUNCT
cana-3715	80	21	cropping	cropping	NOUN
cana-3715	80	22	)	)	PUNCT
cana-3715	80	23	to	to	PART
cana-3715	80	24	increase	increase	VERB
cana-3715	80	25	dataset	dataset	ADJ
cana-3715	80	26	diversity	diversity	NOUN
cana-3715	80	27	.	.	PUNCT
cana-3715	81	1	9	9	NUM
cana-3715	81	2	:	:	PUNCT
cana-3715	81	3	step	step	NOUN
cana-3715	81	4	3	3	NUM
cana-3715	81	5	:	:	PUNCT
cana-3715	81	6	feature	feature	NOUN
cana-3715	81	7	extraction	extraction	NOUN
cana-3715	81	8	with	with	ADP
cana-3715	81	9	efficientnetv2	efficientnetv2	PROPN
cana-3715	81	10	10	10	NUM
cana-3715	81	11	:	:	PUNCT
cana-3715	81	12	initialize	initialize	VERB
cana-3715	81	13	efficientnetv2	efficientnetv2	NOUN
cana-3715	81	14	with	with	ADP
cana-3715	81	15	pre	pre	ADJ
cana-3715	81	16	-	-	ADJ
cana-3715	81	17	trained	train	VERB
cana-3715	81	18	weights	weight	NOUN
cana-3715	81	19	.	.	PUNCT
cana-3715	81	20	11	11	NUM
cana-3715	81	21	:	:	PUNCT
cana-3715	81	22	feed	feed	NOUN
cana-3715	81	23	augmented	augment	VERB
cana-3715	81	24	images	image	NOUN
cana-3715	81	25	into	into	ADP
cana-3715	81	26	efficientnetv2	efficientnetv2	NOUN
cana-3715	81	27	model	model	NOUN
cana-3715	81	28	to	to	PART
cana-3715	81	29	extract	extract	VERB
cana-3715	81	30	high	high	ADJ
cana-3715	81	31	-	-	PUNCT
cana-3715	81	32	level	level	NOUN
cana-3715	81	33	features	feature	NOUN
cana-3715	81	34	.	.	PUNCT
cana-3715	82	1	12	12	NUM
cana-3715	82	2	:	:	PUNCT
cana-3715	82	3	step	step	NOUN
cana-3715	82	4	4	4	NUM
cana-3715	82	5	:	:	PUNCT
cana-3715	82	6	model	model	NOUN
cana-3715	82	7	training	training	NOUN
cana-3715	82	8	for	for	ADP
cana-3715	82	9	each	each	DET
cana-3715	82	10	base	base	NOUN
cana-3715	82	11	model	model	NOUN
cana-3715	82	12	13	13	NUM
cana-3715	82	13	:	:	PUNCT
cana-3715	82	14	train	train	VERB
cana-3715	82	15	efficientnetv2	efficientnetv2	NOUN
cana-3715	82	16	,	,	PUNCT
cana-3715	82	17	vision	vision	NOUN
cana-3715	82	18	transformer	transformer	NOUN
cana-3715	82	19	(	(	PUNCT
cana-3715	82	20	vit	vit	NOUN
cana-3715	82	21	)	)	PUNCT
cana-3715	82	22	,	,	PUNCT
cana-3715	82	23	and	and	CCONJ
cana-3715	82	24	swin	swin	PROPN
cana-3715	82	25	transformer	transformer	PROPN
cana-3715	82	26	individually	individually	ADV
cana-3715	82	27	on	on	ADP
cana-3715	82	28	extracted	extract	VERB
cana-3715	82	29	features	feature	NOUN
cana-3715	82	30	.	.	PUNCT
cana-3715	83	1	14	14	NUM
cana-3715	83	2	:	:	PUNCT
cana-3715	83	3	step	step	NOUN
cana-3715	83	4	5	5	NUM
cana-3715	83	5	:	:	PUNCT
cana-3715	83	6	ensemble	ensemble	ADJ
cana-3715	83	7	classification	classification	NOUN
cana-3715	83	8	15	15	NUM
cana-3715	83	9	:	:	PUNCT
cana-3715	83	10	combine	combine	VERB
cana-3715	83	11	outputs	output	NOUN
cana-3715	83	12	of	of	ADP
cana-3715	83	13	efficientnetv2	efficientnetv2	PROPN
cana-3715	83	14	,	,	PUNCT
cana-3715	83	15	vit	vit	NOUN
cana-3715	83	16	,	,	PUNCT
cana-3715	83	17	and	and	CCONJ
cana-3715	83	18	swin	swin	PROPN
cana-3715	83	19	transformer	transformer	NOUN
cana-3715	83	20	in	in	ADP
cana-3715	83	21	a	a	DET
cana-3715	83	22	stacking	stack	VERB
cana-3715	83	23	ensemble	ensemble	ADJ
cana-3715	83	24	setup	setup	NOUN
cana-3715	83	25	.	.	PUNCT
cana-3715	84	1	16	16	NUM
cana-3715	84	2	:	:	PUNCT
cana-3715	84	3	use	use	VERB
cana-3715	84	4	a	a	DET
cana-3715	84	5	meta	meta	ADJ
cana-3715	84	6	-	-	PUNCT
cana-3715	84	7	classifier	classifier	NOUN
cana-3715	84	8	(	(	PUNCT
cana-3715	84	9	e.g.	e.g.	ADV
cana-3715	84	10	,	,	PUNCT
cana-3715	84	11	logistic	logistic	ADJ
cana-3715	84	12	regression	regression	NOUN
cana-3715	84	13	)	)	PUNCT
cana-3715	84	14	to	to	PART
cana-3715	84	15	predict	predict	VERB
cana-3715	84	16	final	final	ADJ
cana-3715	84	17	gi	gi	NOUN
cana-3715	84	18	disease	disease	NOUN
cana-3715	84	19	classes	class	NOUN
cana-3715	84	20	.	.	PUNCT
cana-3715	85	1	17	17	NUM
cana-3715	85	2	:	:	PUNCT
cana-3715	85	3	step	step	NOUN
cana-3715	85	4	6	6	NUM
cana-3715	85	5	:	:	PUNCT
cana-3715	85	6	evaluation	evaluation	NOUN
cana-3715	85	7	18	18	NUM
cana-3715	85	8	:	:	PUNCT
cana-3715	85	9	evaluate	evaluate	VERB
cana-3715	85	10	model	model	NOUN
cana-3715	85	11	using	use	VERB
cana-3715	85	12	accuracy	accuracy	NOUN
cana-3715	85	13	,	,	PUNCT
cana-3715	85	14	precision	precision	NOUN
cana-3715	85	15	,	,	PUNCT
cana-3715	85	16	recall	recall	NOUN
cana-3715	85	17	,	,	PUNCT
cana-3715	85	18	and	and	CCONJ
cana-3715	85	19	f1	f1	ADJ
cana-3715	85	20	-	-	PUNCT
cana-3715	85	21	score	score	NOUN
cana-3715	85	22	metrics	metric	NOUN
cana-3715	85	23	.	.	PUNCT
cana-3715	86	1	19	19	NUM
cana-3715	86	2	:	:	PUNCT
cana-3715	86	3	return	return	VERB
cana-3715	86	4	optimal	optimal	ADJ
cana-3715	86	5	predictions	prediction	NOUN
cana-3715	86	6	and	and	CCONJ
cana-3715	86	7	performance	performance	NOUN
cana-3715	86	8	metrics	metric	NOUN
cana-3715	86	9	.	.	PUNCT
cana-3715	87	1	the	the	DET
cana-3715	87	2	proposed	propose	VERB
cana-3715	87	3	algorithm	algorithm	NOUN
cana-3715	87	4	for	for	ADP
cana-3715	87	5	gastrointestinal	gastrointestinal	ADJ
cana-3715	87	6	(	(	PUNCT
cana-3715	87	7	gi	gi	NOUN
cana-3715	87	8	)	)	PUNCT
cana-3715	87	9	disease	disease	NOUN
cana-3715	87	10	detection	detection	NOUN
cana-3715	87	11	involves	involve	VERB
cana-3715	87	12	a	a	DET
cana-3715	87	13	systematic	systematic	ADJ
cana-3715	87	14	sequence	sequence	NOUN
cana-3715	87	15	of	of	ADP
cana-3715	87	16	steps	step	NOUN
cana-3715	87	17	,	,	PUNCT
cana-3715	87	18	beginning	begin	VERB
cana-3715	87	19	with	with	ADP
cana-3715	87	20	the	the	DET
cana-3715	87	21	loading	loading	NOUN
cana-3715	87	22	of	of	ADP
cana-3715	87	23	the	the	DET
cana-3715	87	24	augmented	augment	VERB
cana-3715	87	25	gastrovision	gastrovision	NOUN
cana-3715	87	26	dataset	dataset	NOUN
cana-3715	87	27	,	,	PUNCT
cana-3715	87	28	followed	follow	VERB
cana-3715	87	29	by	by	ADP
cana-3715	87	30	applying	apply	VERB
cana-3715	87	31	data	datum	NOUN
cana-3715	87	32	preprocessing	preprocessing	NOUN
cana-3715	87	33	techniques	technique	NOUN
cana-3715	87	34	and	and	CCONJ
cana-3715	87	35	feature	feature	NOUN
cana-3715	87	36	extraction	extraction	NOUN
cana-3715	87	37	through	through	ADP
cana-3715	87	38	efficientnetv2	efficientnetv2	NOUN
cana-3715	87	39	.	.	PUNCT
cana-3715	88	1	the	the	DET
cana-3715	88	2	extracted	extract	VERB
cana-3715	88	3	features	feature	NOUN
cana-3715	88	4	are	be	AUX
cana-3715	88	5	then	then	ADV
cana-3715	88	6	fed	feed	VERB
cana-3715	88	7	into	into	ADP
cana-3715	88	8	a	a	DET
cana-3715	88	9	transfer	transfer	NOUN
cana-3715	88	10	learning	learning	NOUN
cana-3715	88	11	-	-	PUNCT
cana-3715	88	12	based	base	VERB
cana-3715	88	13	model	model	NOUN
cana-3715	88	14	which	which	PRON
cana-3715	88	15	learns	learn	VERB
cana-3715	88	16	optimized	optimize	VERB
cana-3715	88	17	feature	feature	NOUN
cana-3715	88	18	representations	representation	NOUN
cana-3715	88	19	.	.	PUNCT
cana-3715	89	1	the	the	DET
cana-3715	89	2	process	process	NOUN
cana-3715	89	3	concludes	conclude	VERB
cana-3715	89	4	by	by	ADP
cana-3715	89	5	using	use	VERB
cana-3715	89	6	these	these	DET
cana-3715	89	7	features	feature	NOUN
cana-3715	89	8	in	in	ADP
cana-3715	89	9	a	a	DET
cana-3715	89	10	stacking	stack	VERB
cana-3715	89	11	ensemble	ensemble	ADJ
cana-3715	89	12	classifier	classifier	NOUN
cana-3715	89	13	to	to	PART
cana-3715	89	14	improve	improve	VERB
cana-3715	89	15	accuracy	accuracy	NOUN
cana-3715	89	16	,	,	PUNCT
cana-3715	89	17	which	which	PRON
cana-3715	89	18	combines	combine	VERB
cana-3715	89	19	the	the	DET
cana-3715	89	20	predictive	predictive	ADJ
cana-3715	89	21	strengths	strength	NOUN
cana-3715	89	22	of	of	ADP
cana-3715	89	23	efficientnetv2	efficientnetv2	PROPN
cana-3715	89	24	,	,	PUNCT
cana-3715	89	25	vision	vision	NOUN
cana-3715	89	26	transformers	transformer	NOUN
cana-3715	89	27	,	,	PUNCT
cana-3715	89	28	and	and	CCONJ
cana-3715	89	29	swin	swin	PROPN
cana-3715	89	30	transformers	transformer	NOUN
cana-3715	89	31	.	.	PUNCT
cana-3715	90	1	this	this	DET
cana-3715	90	2	algorithm	algorithm	NOUN
cana-3715	90	3	leverages	leverage	VERB
cana-3715	90	4	a	a	DET
cana-3715	90	5	systematic	systematic	ADJ
cana-3715	90	6	approach	approach	NOUN
cana-3715	90	7	to	to	PART
cana-3715	90	8	enhance	enhance	VERB
cana-3715	90	9	gi	gi	NOUN
cana-3715	90	10	disease	disease	NOUN
cana-3715	90	11	detection	detection	NOUN
cana-3715	90	12	accuracy	accuracy	NOUN
cana-3715	90	13	through	through	ADP
cana-3715	90	14	data	datum	NOUN
cana-3715	90	15	preprocessing	preprocessing	NOUN
cana-3715	90	16	,	,	PUNCT
cana-3715	90	17	feature	feature	NOUN
cana-3715	90	18	extraction	extraction	NOUN
cana-3715	90	19	,	,	PUNCT
cana-3715	90	20	and	and	CCONJ
cana-3715	90	21	ensemble	ensemble	ADJ
cana-3715	90	22	learning	learning	NOUN
cana-3715	90	23	.	.	PUNCT
cana-3715	91	1	starting	start	VERB
cana-3715	91	2	with	with	ADP
cana-3715	91	3	an	an	DET
cana-3715	91	4	augmented	augment	VERB
cana-3715	91	5	dataset	dataset	NOUN
cana-3715	91	6	,	,	PUNCT
cana-3715	91	7	the	the	DET
cana-3715	91	8	algorithm	algorithm	NOUN
cana-3715	91	9	applies	apply	VERB
cana-3715	91	10	augmentation	augmentation	NOUN
cana-3715	91	11	to	to	PART
cana-3715	91	12	tackle	tackle	VERB
cana-3715	91	13	image	image	NOUN
cana-3715	91	14	variability	variability	NOUN
cana-3715	91	15	.	.	PUNCT
cana-3715	92	1	efficientnetv2	efficientnetv2	PROPN
cana-3715	92	2	serves	serve	VERB
cana-3715	92	3	as	as	ADP
cana-3715	92	4	a	a	DET
cana-3715	92	5	robust	robust	ADJ
cana-3715	92	6	feature	feature	NOUN
cana-3715	92	7	extractor	extractor	NOUN
cana-3715	92	8	due	due	ADP
cana-3715	92	9	to	to	ADP
cana-3715	92	10	its	its	PRON
cana-3715	92	11	scalability	scalability	NOUN
cana-3715	92	12	and	and	CCONJ
cana-3715	92	13	balanced	balanced	ADJ
cana-3715	92	14	architecture	architecture	NOUN
cana-3715	92	15	.	.	PUNCT
cana-3715	93	1	three	three	NUM
cana-3715	93	2	transfer	transfer	NOUN
cana-3715	93	3	learning	learning	NOUN
cana-3715	93	4	models	model	NOUN
cana-3715	93	5	—	—	PUNCT
cana-3715	93	6	efficientnetv2	efficientnetv2	ADV
cana-3715	93	7	,	,	PUNCT
cana-3715	93	8	vision	vision	NOUN
cana-3715	93	9	transformers	transformer	NOUN
cana-3715	93	10	,	,	PUNCT
cana-3715	93	11	and	and	CCONJ
cana-3715	93	12	swin	swin	PROPN
cana-3715	93	13	transformers	transformer	NOUN
cana-3715	93	14	—	—	PUNCT
cana-3715	93	15	are	be	AUX
cana-3715	93	16	individually	individually	ADV
cana-3715	93	17	trained	train	VERB
cana-3715	93	18	on	on	ADP
cana-3715	93	19	the	the	DET
cana-3715	93	20	extracted	extract	VERB
cana-3715	93	21	features	feature	NOUN
cana-3715	93	22	.	.	PUNCT
cana-3715	94	1	their	their	PRON
cana-3715	94	2	outputs	output	NOUN
cana-3715	94	3	are	be	AUX
cana-3715	94	4	then	then	ADV
cana-3715	94	5	combined	combine	VERB
cana-3715	94	6	in	in	ADP
cana-3715	94	7	a	a	DET
cana-3715	94	8	stacking	stack	VERB
cana-3715	94	9	ensemble	ensemble	ADJ
cana-3715	94	10	framework	framework	NOUN
cana-3715	94	11	,	,	PUNCT
cana-3715	94	12	where	where	SCONJ
cana-3715	94	13	a	a	DET
cana-3715	94	14	metacommunications	metacommunication	NOUN
cana-3715	94	15	on	on	ADP
cana-3715	94	16	applied	apply	VERB
cana-3715	94	17	nonlinear	nonlinear	ADJ
cana-3715	94	18	analysis	analysis	NOUN
cana-3715	94	19	issn	issn	NOUN
cana-3715	94	20	:	:	PUNCT
cana-3715	94	21	1074	1074	NUM
cana-3715	94	22	-	-	PUNCT
cana-3715	94	23	133x	133x	NUM
cana-3715	94	24	vol	vol	NOUN
cana-3715	94	25	32	32	NUM
cana-3715	94	26	no	no	NOUN
cana-3715	94	27	.	.	PUNCT
cana-3715	95	1	8s	8s	PROPN
cana-3715	95	2	(	(	PUNCT
cana-3715	95	3	2025	2025	NUM
cana-3715	95	4	)	)	PUNCT
cana-3715	95	5	542	542	NUM
cana-3715	95	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3715	95	7	classifier	classifier	NOUN
cana-3715	95	8	consoli	consoli	NOUN
cana-3715	95	9	dates	date	VERB
cana-3715	95	10	predictions	prediction	NOUN
cana-3715	95	11	to	to	PART
cana-3715	95	12	achieve	achieve	VERB
cana-3715	95	13	higher	high	ADJ
cana-3715	95	14	accuracy	accuracy	NOUN
cana-3715	95	15	.	.	PUNCT
cana-3715	96	1	the	the	DET
cana-3715	96	2	final	final	ADJ
cana-3715	96	3	model	model	NOUN
cana-3715	96	4	performance	performance	NOUN
cana-3715	96	5	is	be	AUX
cana-3715	96	6	validated	validate	VERB
cana-3715	96	7	across	across	ADP
cana-3715	96	8	multiple	multiple	ADJ
cana-3715	96	9	metrics	metric	NOUN
cana-3715	96	10	,	,	PUNCT
cana-3715	96	11	ensuring	ensure	VERB
cana-3715	96	12	a	a	DET
cana-3715	96	13	robust	robust	ADJ
cana-3715	96	14	and	and	CCONJ
cana-3715	96	15	clinically	clinically	ADV
cana-3715	96	16	useful	useful	ADJ
cana-3715	96	17	detection	detection	NOUN
cana-3715	96	18	system	system	NOUN
cana-3715	96	19	for	for	ADP
cana-3715	96	20	gastrointestinal	gastrointestinal	ADJ
cana-3715	96	21	diseases	disease	NOUN
cana-3715	96	22	.	.	PUNCT
cana-3715	97	1	a.	a.	NOUN
cana-3715	97	2	data	data	PROPN
cana-3715	97	3	augmentation	augmentation	NOUN
cana-3715	97	4	techniques	technique	NOUN
cana-3715	97	5	we	we	PRON
cana-3715	97	6	implemented	implement	VERB
cana-3715	97	7	a	a	DET
cana-3715	97	8	diverse	diverse	ADJ
cana-3715	97	9	set	set	NOUN
cana-3715	97	10	of	of	ADP
cana-3715	97	11	data	datum	NOUN
cana-3715	97	12	augmentation	augmentation	NOUN
cana-3715	97	13	techniques	technique	NOUN
cana-3715	97	14	to	to	PART
cana-3715	97	15	address	address	VERB
cana-3715	97	16	challenges	challenge	NOUN
cana-3715	97	17	posed	pose	VERB
cana-3715	97	18	by	by	ADP
cana-3715	97	19	lighting	lighting	NOUN
cana-3715	97	20	,	,	PUNCT
cana-3715	97	21	positional	positional	ADJ
cana-3715	97	22	variability	variability	NOUN
cana-3715	97	23	,	,	PUNCT
cana-3715	97	24	and	and	CCONJ
cana-3715	97	25	other	other	ADJ
cana-3715	97	26	imaging	imaging	NOUN
cana-3715	97	27	inconsistencies	inconsistency	NOUN
cana-3715	97	28	commonly	commonly	ADV
cana-3715	97	29	found	find	VERB
cana-3715	97	30	in	in	ADP
cana-3715	97	31	gi	gi	NOUN
cana-3715	97	32	endoscopy	endoscopy	NOUN
cana-3715	97	33	.	.	PUNCT
cana-3715	98	1	techniques	technique	NOUN
cana-3715	98	2	such	such	ADJ
cana-3715	98	3	as	as	ADP
cana-3715	98	4	rotation	rotation	NOUN
cana-3715	98	5	,	,	PUNCT
cana-3715	98	6	scaling	scaling	NOUN
cana-3715	98	7	,	,	PUNCT
cana-3715	98	8	brightness	brightness	NOUN
cana-3715	98	9	adjustment	adjustment	NOUN
cana-3715	98	10	,	,	PUNCT
cana-3715	98	11	and	and	CCONJ
cana-3715	98	12	random	random	ADJ
cana-3715	98	13	cropping	cropping	NOUN
cana-3715	98	14	were	be	AUX
cana-3715	98	15	applied	apply	VERB
cana-3715	98	16	to	to	PART
cana-3715	98	17	increase	increase	VERB
cana-3715	98	18	data	datum	NOUN
cana-3715	98	19	diversity	diversity	NOUN
cana-3715	98	20	and	and	CCONJ
cana-3715	98	21	reduce	reduce	VERB
cana-3715	98	22	overfitting	overfitting	NOUN
cana-3715	98	23	.	.	PUNCT
cana-3715	99	1	b.	b.	PROPN
cana-3715	99	2	efficientnetv2	efficientnetv2	PROPN
cana-3715	100	1	for	for	ADP
cana-3715	100	2	feature	feature	NOUN
cana-3715	100	3	extraction	extraction	NOUN
cana-3715	100	4	efficientnetv2	efficientnetv2	NOUN
cana-3715	100	5	was	be	AUX
cana-3715	100	6	selected	select	VERB
cana-3715	100	7	for	for	ADP
cana-3715	100	8	feature	feature	NOUN
cana-3715	100	9	extraction	extraction	NOUN
cana-3715	100	10	due	due	ADP
cana-3715	100	11	to	to	ADP
cana-3715	100	12	its	its	PRON
cana-3715	100	13	ability	ability	NOUN
cana-3715	100	14	to	to	PART
cana-3715	100	15	balance	balance	VERB
cana-3715	100	16	model	model	NOUN
cana-3715	100	17	depth	depth	NOUN
cana-3715	100	18	,	,	PUNCT
cana-3715	100	19	width	width	ADJ
cana-3715	100	20	,	,	PUNCT
cana-3715	100	21	and	and	CCONJ
cana-3715	100	22	resolution	resolution	NOUN
cana-3715	100	23	.	.	PUNCT
cana-3715	101	1	the	the	DET
cana-3715	101	2	compound	compound	NOUN
cana-3715	101	3	scaling	scale	VERB
cana-3715	101	4	approach	approach	NOUN
cana-3715	101	5	,	,	PUNCT
cana-3715	101	6	represented	represent	VERB
cana-3715	101	7	by	by	ADP
cana-3715	101	8	the	the	DET
cana-3715	101	9	following	follow	VERB
cana-3715	101	10	equation	equation	NOUN
cana-3715	101	11	,	,	PUNCT
cana-3715	101	12	allows	allow	VERB
cana-3715	101	13	efficientnetv2	efficientnetv2	PROPN
cana-3715	101	14	to	to	PART
cana-3715	101	15	adapt	adapt	VERB
cana-3715	101	16	to	to	ADP
cana-3715	101	17	different	different	ADJ
cana-3715	101	18	image	image	NOUN
cana-3715	101	19	resolutions	resolution	NOUN
cana-3715	101	20	while	while	SCONJ
cana-3715	101	21	capturing	capture	VERB
cana-3715	101	22	fine	fine	ADJ
cana-3715	101	23	details	detail	NOUN
cana-3715	101	24	:	:	PUNCT
cana-3715	101	25	efficientnet	efficientnet	NOUN
cana-3715	101	26	scaling	scaling	NOUN
cana-3715	101	27	=	=	SYM
cana-3715	101	28	αϕ	αϕ	X
cana-3715	101	29	·	·	PUNCT
cana-3715	101	30	d	d	X
cana-3715	101	31	,	,	PUNCT
cana-3715	101	32	βϕ	βϕ	NOUN
cana-3715	101	33	·	·	PUNCT
cana-3715	101	34	w	w	X
cana-3715	101	35	,	,	PUNCT
cana-3715	101	36	γϕ	γϕ	ADP
cana-3715	101	37	·	·	PUNCT
cana-3715	102	1	r	r	X
cana-3715	102	2	where	where	SCONJ
cana-3715	102	3	d	d	NOUN
cana-3715	102	4	,	,	PUNCT
cana-3715	102	5	w	w	NOUN
cana-3715	102	6	,	,	PUNCT
cana-3715	102	7	and	and	CCONJ
cana-3715	102	8	r	r	NOUN
cana-3715	102	9	represent	represent	ADJ
cana-3715	102	10	depth	depth	NOUN
cana-3715	102	11	,	,	PUNCT
cana-3715	102	12	width	width	ADJ
cana-3715	102	13	,	,	PUNCT
cana-3715	102	14	and	and	CCONJ
cana-3715	102	15	resolution	resolution	NOUN
cana-3715	102	16	,	,	PUNCT
cana-3715	102	17	and	and	CCONJ
cana-3715	102	18	α	α	NOUN
cana-3715	102	19	,	,	PUNCT
cana-3715	102	20	β	β	NOUN
cana-3715	102	21	,	,	PUNCT
cana-3715	102	22	and	and	CCONJ
cana-3715	102	23	γ	γ	NOUN
cana-3715	102	24	are	be	AUX
cana-3715	102	25	constants	constant	NOUN
cana-3715	102	26	optimized	optimize	VERB
cana-3715	102	27	through	through	ADP
cana-3715	102	28	grid	grid	NOUN
cana-3715	102	29	search	search	NOUN
cana-3715	102	30	.	.	PUNCT
cana-3715	103	1	iv	iv	X
cana-3715	103	2	.	.	PUNCT
cana-3715	103	3	dataset	dataset	NOUN
cana-3715	103	4	and	and	CCONJ
cana-3715	103	5	augmentation	augmentation	NOUN
cana-3715	103	6	process	process	NOUN
cana-3715	103	7	the	the	DET
cana-3715	103	8	gastrovision	gastrovision	NOUN
cana-3715	103	9	dataset	dataset	VERB
cana-3715	103	10	[	[	PUNCT
cana-3715	103	11	11	11	NUM
cana-3715	103	12	]	]	PUNCT
cana-3715	103	13	,	,	PUNCT
cana-3715	103	14	with	with	ADP
cana-3715	103	15	the	the	DET
cana-3715	103	16	addition	addition	NOUN
cana-3715	103	17	of	of	ADP
cana-3715	103	18	three	three	NUM
cana-3715	103	19	new	new	ADJ
cana-3715	103	20	categories	category	NOUN
cana-3715	103	21	,	,	PUNCT
cana-3715	103	22	forms	form	VERB
cana-3715	103	23	the	the	DET
cana-3715	103	24	basis	basis	NOUN
cana-3715	103	25	of	of	ADP
cana-3715	103	26	this	this	DET
cana-3715	103	27	study	study	NOUN
cana-3715	103	28	.	.	PUNCT
cana-3715	104	1	each	each	DET
cana-3715	104	2	category	category	NOUN
cana-3715	104	3	—	—	PUNCT
cana-3715	104	4	inflammatory	inflammatory	ADJ
cana-3715	104	5	conditions	condition	NOUN
cana-3715	104	6	,	,	PUNCT
cana-3715	104	7	neoplastic	neoplastic	ADJ
cana-3715	104	8	growths	growth	NOUN
cana-3715	104	9	,	,	PUNCT
cana-3715	104	10	and	and	CCONJ
cana-3715	104	11	interventional	interventional	ADJ
cana-3715	104	12	findings	finding	NOUN
cana-3715	104	13	—	—	PUNCT
cana-3715	104	14	addresses	address	NOUN
cana-3715	104	15	clinically	clinically	ADV
cana-3715	104	16	significant	significant	ADJ
cana-3715	104	17	variations	variation	NOUN
cana-3715	104	18	in	in	ADP
cana-3715	104	19	gi	gi	NOUN
cana-3715	104	20	conditions	condition	NOUN
cana-3715	104	21	,	,	PUNCT
cana-3715	104	22	enhancing	enhance	VERB
cana-3715	104	23	the	the	DET
cana-3715	104	24	model	model	NOUN
cana-3715	104	25	’s	’s	PART
cana-3715	104	26	diagnostic	diagnostic	ADJ
cana-3715	104	27	capabilities	capability	NOUN
cana-3715	104	28	.	.	PUNCT
cana-3715	105	1	this	this	DET
cana-3715	105	2	section	section	NOUN
cana-3715	105	3	details	detail	VERB
cana-3715	105	4	the	the	DET
cana-3715	105	5	dataset	dataset	NOUN
cana-3715	105	6	composition	composition	NOUN
cana-3715	105	7	and	and	CCONJ
cana-3715	105	8	augmentation	augmentation	NOUN
cana-3715	105	9	process	process	NOUN
cana-3715	105	10	.	.	PUNCT
cana-3715	106	1	table	table	NOUN
cana-3715	106	2	ii	ii	PROPN
cana-3715	106	3	class	class	NOUN
cana-3715	106	4	distribution	distribution	NOUN
cana-3715	106	5	and	and	CCONJ
cana-3715	106	6	augmentation	augmentation	NOUN
cana-3715	106	7	techniques	technique	NOUN
cana-3715	106	8	class	class	NOUN
cana-3715	106	9	images	image	VERB
cana-3715	106	10	augmentation	augmentation	NOUN
cana-3715	106	11	techniques	technique	VERB
cana-3715	106	12	normal	normal	ADJ
cana-3715	106	13	tissue	tissue	NOUN
cana-3715	106	14	3000	3000	NUM
cana-3715	106	15	rotation	rotation	NOUN
cana-3715	106	16	,	,	PUNCT
cana-3715	106	17	scaling	scale	VERB
cana-3715	106	18	inflammatory	inflammatory	ADJ
cana-3715	106	19	conditions	condition	NOUN
cana-3715	106	20	1200	1200	NUM
cana-3715	106	21	brightness	brightness	NOUN
cana-3715	106	22	adjustment	adjustment	NOUN
cana-3715	106	23	,	,	PUNCT
cana-3715	106	24	contrast	contrast	VERB
cana-3715	106	25	neoplastic	neoplastic	ADJ
cana-3715	106	26	growths	growth	NOUN
cana-3715	106	27	1000	1000	NUM
cana-3715	106	28	horizontal	horizontal	ADJ
cana-3715	106	29	flip	flip	NOUN
cana-3715	106	30	,	,	PUNCT
cana-3715	106	31	cropping	crop	VERB
cana-3715	106	32	interventional	interventional	ADJ
cana-3715	106	33	findings	finding	NOUN
cana-3715	106	34	800	800	NUM
cana-3715	106	35	noise	noise	NOUN
cana-3715	106	36	addition	addition	NOUN
cana-3715	106	37	,	,	PUNCT
cana-3715	106	38	rotation	rotation	VERB
cana-3715	106	39	the	the	DET
cana-3715	106	40	table	table	NOUN
cana-3715	106	41	titled	title	VERB
cana-3715	106	42	class	class	NOUN
cana-3715	106	43	distribution	distribution	NOUN
cana-3715	106	44	and	and	CCONJ
cana-3715	106	45	augmentation	augmentation	NOUN
cana-3715	106	46	techniques	technique	NOUN
cana-3715	106	47	provides	provide	VERB
cana-3715	106	48	an	an	DET
cana-3715	106	49	overview	overview	NOUN
cana-3715	106	50	of	of	ADP
cana-3715	106	51	the	the	DET
cana-3715	106	52	dataset	dataset	NOUN
cana-3715	106	53	used	use	VERB
cana-3715	106	54	in	in	ADP
cana-3715	106	55	this	this	DET
cana-3715	106	56	study	study	NOUN
cana-3715	106	57	,	,	PUNCT
cana-3715	106	58	highlighting	highlight	VERB
cana-3715	106	59	the	the	DET
cana-3715	106	60	number	number	NOUN
cana-3715	106	61	of	of	ADP
cana-3715	106	62	images	image	NOUN
cana-3715	106	63	and	and	CCONJ
cana-3715	106	64	augmentation	augmentation	NOUN
cana-3715	106	65	methods	method	NOUN
cana-3715	106	66	applied	apply	VERB
cana-3715	106	67	to	to	ADP
cana-3715	106	68	each	each	DET
cana-3715	106	69	class	class	NOUN
cana-3715	106	70	.	.	PUNCT
cana-3715	107	1	the	the	DET
cana-3715	107	2	dataset	dataset	NOUN
cana-3715	107	3	comprises	comprise	VERB
cana-3715	107	4	four	four	NUM
cana-3715	107	5	primary	primary	ADJ
cana-3715	107	6	classes	class	NOUN
cana-3715	107	7	:	:	PUNCT
cana-3715	107	8	normal	normal	ADJ
cana-3715	107	9	tissue	tissue	NOUN
cana-3715	107	10	,	,	PUNCT
cana-3715	107	11	inflammatory	inflammatory	ADJ
cana-3715	107	12	conditions	condition	NOUN
cana-3715	107	13	,	,	PUNCT
cana-3715	107	14	neoplastic	neoplastic	ADJ
cana-3715	107	15	growths	growth	NOUN
cana-3715	107	16	,	,	PUNCT
cana-3715	107	17	and	and	CCONJ
cana-3715	107	18	interventional	interventional	ADJ
cana-3715	107	19	findings	finding	NOUN
cana-3715	107	20	,	,	PUNCT
cana-3715	107	21	with	with	ADP
cana-3715	107	22	a	a	DET
cana-3715	107	23	total	total	NOUN
cana-3715	107	24	of	of	ADP
cana-3715	107	25	6,000	6,000	NUM
cana-3715	107	26	images	image	NOUN
cana-3715	107	27	.	.	PUNCT
cana-3715	108	1	normal	normal	ADJ
cana-3715	108	2	tissue	tissue	NOUN
cana-3715	108	3	has	have	VERB
cana-3715	108	4	the	the	DET
cana-3715	108	5	largest	large	ADJ
cana-3715	108	6	representation	representation	NOUN
cana-3715	108	7	with	with	ADP
cana-3715	108	8	3,000	3,000	NUM
cana-3715	108	9	images	image	NOUN
cana-3715	108	10	,	,	PUNCT
cana-3715	108	11	where	where	SCONJ
cana-3715	108	12	rotation	rotation	NOUN
cana-3715	108	13	and	and	CCONJ
cana-3715	108	14	scaling	scale	VERB
cana-3715	108	15	techniques	technique	NOUN
cana-3715	108	16	are	be	AUX
cana-3715	108	17	used	use	VERB
cana-3715	108	18	to	to	PART
cana-3715	108	19	simulate	simulate	VERB
cana-3715	108	20	variations	variation	NOUN
cana-3715	108	21	in	in	ADP
cana-3715	108	22	endoscopic	endoscopic	ADJ
cana-3715	108	23	views	view	NOUN
cana-3715	108	24	and	and	CCONJ
cana-3715	108	25	ensure	ensure	VERB
cana-3715	108	26	model	model	NOUN
cana-3715	108	27	robustness	robustness	NOUN
cana-3715	108	28	.	.	PUNCT
cana-3715	109	1	inflammatory	inflammatory	ADJ
cana-3715	109	2	conditions	condition	NOUN
cana-3715	109	3	includes	include	VERB
cana-3715	109	4	1,200	1,200	NUM
cana-3715	109	5	images	image	NOUN
cana-3715	109	6	and	and	CCONJ
cana-3715	109	7	applies	apply	VERB
cana-3715	109	8	brightness	brightness	NOUN
cana-3715	109	9	adjustment	adjustment	NOUN
cana-3715	109	10	and	and	CCONJ
cana-3715	109	11	contrast	contrast	VERB
cana-3715	109	12	techniques	technique	NOUN
cana-3715	109	13	to	to	PART
cana-3715	109	14	account	account	VERB
cana-3715	109	15	for	for	ADP
cana-3715	109	16	lighting	lighting	NOUN
cana-3715	109	17	inconsistencies	inconsistency	NOUN
cana-3715	109	18	often	often	ADV
cana-3715	109	19	observed	observe	VERB
cana-3715	109	20	in	in	ADP
cana-3715	109	21	medical	medical	ADJ
cana-3715	109	22	imaging	imaging	NOUN
cana-3715	109	23	.	.	PUNCT
cana-3715	110	1	neoplastic	neoplastic	ADJ
cana-3715	110	2	growths	growth	NOUN
cana-3715	110	3	,	,	PUNCT
cana-3715	110	4	comprising	comprise	VERB
cana-3715	110	5	1,000	1,000	NUM
cana-3715	110	6	images	image	NOUN
cana-3715	110	7	,	,	PUNCT
cana-3715	110	8	utilizes	utilize	VERB
cana-3715	110	9	horizontal	horizontal	ADJ
cana-3715	110	10	flips	flip	NOUN
cana-3715	110	11	and	and	CCONJ
cana-3715	110	12	cropping	crop	VERB
cana-3715	110	13	to	to	PART
cana-3715	110	14	ensure	ensure	VERB
cana-3715	110	15	the	the	DET
cana-3715	110	16	model	model	NOUN
cana-3715	110	17	can	can	AUX
cana-3715	110	18	detect	detect	VERB
cana-3715	110	19	tumors	tumor	NOUN
cana-3715	110	20	or	or	CCONJ
cana-3715	110	21	polyps	polyp	NOUN
cana-3715	110	22	from	from	ADP
cana-3715	110	23	different	different	ADJ
cana-3715	110	24	perspectives	perspective	NOUN
cana-3715	110	25	.	.	PUNCT
cana-3715	111	1	finally	finally	ADV
cana-3715	111	2	,	,	PUNCT
cana-3715	111	3	interventional	interventional	ADJ
cana-3715	111	4	findings	finding	NOUN
cana-3715	111	5	,	,	PUNCT
cana-3715	111	6	with	with	ADP
cana-3715	111	7	800	800	NUM
cana-3715	111	8	images	image	NOUN
cana-3715	111	9	,	,	PUNCT
cana-3715	111	10	incorporates	incorporate	VERB
cana-3715	111	11	noise	noise	NOUN
cana-3715	111	12	addition	addition	NOUN
cana-3715	111	13	and	and	CCONJ
cana-3715	111	14	rotation	rotation	NOUN
cana-3715	111	15	to	to	PART
cana-3715	111	16	simulate	simulate	VERB
cana-3715	111	17	post	post	ADJ
cana-3715	111	18	-	-	ADJ
cana-3715	111	19	procedural	procedural	ADJ
cana-3715	111	20	scenarios	scenario	NOUN
cana-3715	111	21	,	,	PUNCT
cana-3715	111	22	making	make	VERB
cana-3715	111	23	the	the	DET
cana-3715	111	24	model	model	NOUN
cana-3715	111	25	adaptable	adaptable	ADJ
cana-3715	111	26	to	to	ADP
cana-3715	111	27	varying	vary	VERB
cana-3715	111	28	clinical	clinical	ADJ
cana-3715	111	29	environments	environment	NOUN
cana-3715	111	30	.	.	PUNCT
cana-3715	112	1	this	this	DET
cana-3715	112	2	diverse	diverse	ADJ
cana-3715	112	3	augmentation	augmentation	NOUN
cana-3715	112	4	strategy	strategy	NOUN
cana-3715	112	5	enhances	enhance	VERB
cana-3715	112	6	the	the	DET
cana-3715	112	7	communications	communication	NOUN
cana-3715	112	8	on	on	ADP
cana-3715	112	9	applied	apply	VERB
cana-3715	112	10	nonlinear	nonlinear	ADJ
cana-3715	112	11	analysis	analysis	NOUN
cana-3715	112	12	issn	issn	NOUN
cana-3715	112	13	:	:	PUNCT
cana-3715	112	14	1074	1074	NUM
cana-3715	112	15	-	-	PUNCT
cana-3715	112	16	133x	133x	NUM
cana-3715	112	17	vol	vol	NOUN
cana-3715	112	18	32	32	NUM
cana-3715	112	19	no	no	NOUN
cana-3715	112	20	.	.	PUNCT
cana-3715	113	1	8s	8s	PROPN
cana-3715	113	2	(	(	PUNCT
cana-3715	113	3	2025	2025	NUM
cana-3715	113	4	)	)	PUNCT
cana-3715	113	5	543	543	NUM
cana-3715	113	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3715	113	7	model	model	NOUN
cana-3715	113	8	’s	’s	PART
cana-3715	113	9	generalization	generalization	NOUN
cana-3715	113	10	ability	ability	NOUN
cana-3715	113	11	,	,	PUNCT
cana-3715	113	12	preparing	prepare	VERB
cana-3715	113	13	it	it	PRON
cana-3715	113	14	to	to	PART
cana-3715	113	15	handle	handle	VERB
cana-3715	113	16	real	real	ADJ
cana-3715	113	17	-	-	PUNCT
cana-3715	113	18	world	world	NOUN
cana-3715	113	19	medical	medical	ADJ
cana-3715	113	20	image	image	NOUN
cana-3715	113	21	variability	variability	NOUN
cana-3715	113	22	.	.	PUNCT
cana-3715	114	1	the	the	DET
cana-3715	114	2	image	image	NOUN
cana-3715	114	3	in	in	ADP
cana-3715	114	4	figure	figure	NOUN
cana-3715	114	5	2	2	NUM
cana-3715	114	6	represents	represent	VERB
cana-3715	114	7	the	the	DET
cana-3715	114	8	gastroesophageal	gastroesophageal	NOUN
cana-3715	114	9	junction	junction	NOUN
cana-3715	114	10	with	with	ADP
cana-3715	114	11	a	a	DET
cana-3715	114	12	normal	normal	ADJ
cana-3715	114	13	z	z	NOUN
cana-3715	114	14	-	-	PUNCT
cana-3715	114	15	line	line	NOUN
cana-3715	114	16	,	,	PUNCT
cana-3715	114	17	a	a	DET
cana-3715	114	18	critical	critical	ADJ
cana-3715	114	19	anatomical	anatomical	ADJ
cana-3715	114	20	landmark	landmark	NOUN
cana-3715	114	21	in	in	ADP
cana-3715	114	22	endoscopic	endoscopic	ADJ
cana-3715	114	23	procedures	procedure	NOUN
cana-3715	114	24	.	.	PUNCT
cana-3715	115	1	the	the	DET
cana-3715	115	2	z	z	NOUN
cana-3715	115	3	-	-	PUNCT
cana-3715	115	4	line	line	NOUN
cana-3715	115	5	,	,	PUNCT
cana-3715	115	6	where	where	SCONJ
cana-3715	115	7	the	the	DET
cana-3715	115	8	esophagus	esophagus	NOUN
cana-3715	115	9	meets	meet	VERB
cana-3715	115	10	the	the	DET
cana-3715	115	11	stomach	stomach	NOUN
cana-3715	115	12	,	,	PUNCT
cana-3715	115	13	is	be	AUX
cana-3715	115	14	typically	typically	ADV
cana-3715	115	15	identified	identify	VERB
cana-3715	115	16	by	by	ADP
cana-3715	115	17	a	a	DET
cana-3715	115	18	sharp	sharp	ADJ
cana-3715	115	19	transition	transition	NOUN
cana-3715	115	20	between	between	ADP
cana-3715	115	21	the	the	DET
cana-3715	115	22	pinkish	pinkish	ADJ
cana-3715	115	23	color	color	NOUN
cana-3715	115	24	of	of	ADP
cana-3715	115	25	the	the	DET
cana-3715	115	26	esophageal	esophageal	ADJ
cana-3715	115	27	squamous	squamous	ADJ
cana-3715	115	28	epithelium	epithelium	NOUN
cana-3715	115	29	and	and	CCONJ
cana-3715	115	30	the	the	DET
cana-3715	115	31	redder	red	ADJ
cana-3715	115	32	gastric	gastric	ADJ
cana-3715	115	33	columnar	columnar	ADJ
cana-3715	115	34	epithelium	epithelium	NOUN
cana-3715	115	35	.	.	PUNCT
cana-3715	116	1	this	this	DET
cana-3715	116	2	junction	junction	NOUN
cana-3715	116	3	is	be	AUX
cana-3715	116	4	an	an	DET
cana-3715	116	5	important	important	ADJ
cana-3715	116	6	area	area	NOUN
cana-3715	116	7	to	to	PART
cana-3715	116	8	assess	assess	VERB
cana-3715	116	9	during	during	ADP
cana-3715	116	10	upper	upper	ADJ
cana-3715	116	11	endoscopy	endoscopy	NOUN
cana-3715	116	12	to	to	PART
cana-3715	116	13	ensure	ensure	VERB
cana-3715	116	14	that	that	SCONJ
cana-3715	116	15	no	no	DET
cana-3715	116	16	abnormalities	abnormality	NOUN
cana-3715	116	17	are	be	AUX
cana-3715	116	18	present	present	ADJ
cana-3715	116	19	.	.	PUNCT
cana-3715	117	1	fig	fig	NOUN
cana-3715	117	2	.	.	PUNCT
cana-3715	118	1	2	2	X
cana-3715	118	2	.	.	X
cana-3715	118	3	gastroesophageal	gastroesophageal	NOUN
cana-3715	118	4	junction	junction	NOUN
cana-3715	118	5	:	:	PUNCT
cana-3715	119	1	normal	normal	ADJ
cana-3715	119	2	z	z	NOUN
cana-3715	119	3	-	-	PUNCT
cana-3715	119	4	line	line	NOUN
cana-3715	119	5	[	[	X
cana-3715	119	6	11	11	NUM
cana-3715	119	7	]	]	PUNCT
cana-3715	119	8	.	.	PUNCT
cana-3715	120	1	the	the	DET
cana-3715	120	2	z	z	NOUN
cana-3715	120	3	-	-	PUNCT
cana-3715	120	4	line	line	NOUN
cana-3715	120	5	marks	mark	VERB
cana-3715	120	6	the	the	DET
cana-3715	120	7	transition	transition	NOUN
cana-3715	120	8	between	between	ADP
cana-3715	120	9	the	the	DET
cana-3715	120	10	esophageal	esophageal	ADJ
cana-3715	120	11	and	and	CCONJ
cana-3715	120	12	gastric	gastric	ADJ
cana-3715	120	13	mucosa	mucosa	NOUN
cana-3715	120	14	.	.	PUNCT
cana-3715	121	1	in	in	ADP
cana-3715	121	2	the	the	DET
cana-3715	121	3	context	context	NOUN
cana-3715	121	4	of	of	ADP
cana-3715	121	5	our	our	PRON
cana-3715	121	6	work	work	NOUN
cana-3715	121	7	,	,	PUNCT
cana-3715	121	8	recognizing	recognize	VERB
cana-3715	121	9	this	this	DET
cana-3715	121	10	normal	normal	ADJ
cana-3715	121	11	anatomical	anatomical	ADJ
cana-3715	121	12	structure	structure	NOUN
cana-3715	121	13	plays	play	VERB
cana-3715	121	14	a	a	DET
cana-3715	121	15	pivotal	pivotal	ADJ
cana-3715	121	16	role	role	NOUN
cana-3715	121	17	in	in	ADP
cana-3715	121	18	training	training	NOUN
cana-3715	121	19	ai	ai	NOUN
cana-3715	121	20	models	model	NOUN
cana-3715	121	21	,	,	PUNCT
cana-3715	121	22	as	as	SCONJ
cana-3715	121	23	any	any	DET
cana-3715	121	24	deviation	deviation	NOUN
cana-3715	121	25	from	from	ADP
cana-3715	121	26	the	the	DET
cana-3715	121	27	expected	expect	VERB
cana-3715	121	28	appearance	appearance	NOUN
cana-3715	121	29	of	of	ADP
cana-3715	121	30	the	the	DET
cana-3715	121	31	z	z	NOUN
cana-3715	121	32	-	-	PUNCT
cana-3715	121	33	line	line	NOUN
cana-3715	121	34	can	can	AUX
cana-3715	121	35	indicate	indicate	VERB
cana-3715	121	36	pathological	pathological	ADJ
cana-3715	121	37	conditions	condition	NOUN
cana-3715	121	38	.	.	PUNCT
cana-3715	122	1	specifically	specifically	ADV
cana-3715	122	2	,	,	PUNCT
cana-3715	122	3	abnormalities	abnormality	NOUN
cana-3715	122	4	in	in	ADP
cana-3715	122	5	the	the	DET
cana-3715	122	6	gastroesophageal	gastroesophageal	NOUN
cana-3715	122	7	junction	junction	NOUN
cana-3715	122	8	can	can	AUX
cana-3715	122	9	lead	lead	VERB
cana-3715	122	10	to	to	ADP
cana-3715	122	11	conditions	condition	NOUN
cana-3715	122	12	such	such	ADJ
cana-3715	122	13	as	as	ADP
cana-3715	122	14	barrett	barrett	PROPN
cana-3715	122	15	’s	’s	PART
cana-3715	122	16	esophagus	esophagus	NOUN
cana-3715	122	17	,	,	PUNCT
cana-3715	122	18	where	where	SCONJ
cana-3715	122	19	the	the	DET
cana-3715	122	20	z	z	NOUN
cana-3715	122	21	-	-	PUNCT
cana-3715	122	22	line	line	NOUN
cana-3715	122	23	becomes	become	VERB
cana-3715	122	24	irregular	irregular	ADJ
cana-3715	122	25	,	,	PUNCT
cana-3715	122	26	indicating	indicate	VERB
cana-3715	122	27	metaplasia	metaplasia	NOUN
cana-3715	122	28	—	—	PUNCT
cana-3715	122	29	a	a	DET
cana-3715	122	30	risk	risk	NOUN
cana-3715	122	31	factor	factor	NOUN
cana-3715	122	32	for	for	ADP
cana-3715	122	33	esophageal	esophageal	ADJ
cana-3715	122	34	cancer	cancer	NOUN
cana-3715	122	35	.	.	PUNCT
cana-3715	123	1	our	our	PRON
cana-3715	123	2	dataset	dataset	NOUN
cana-3715	123	3	includes	include	VERB
cana-3715	123	4	normal	normal	ADJ
cana-3715	123	5	findings	finding	NOUN
cana-3715	123	6	such	such	ADJ
cana-3715	123	7	as	as	ADP
cana-3715	123	8	this	this	PRON
cana-3715	123	9	,	,	PUNCT
cana-3715	123	10	alongside	alongside	ADP
cana-3715	123	11	pathological	pathological	ADJ
cana-3715	123	12	cases	case	NOUN
cana-3715	123	13	,	,	PUNCT
cana-3715	123	14	to	to	PART
cana-3715	123	15	train	train	VERB
cana-3715	123	16	deep	deep	ADJ
cana-3715	123	17	learning	learning	NOUN
cana-3715	123	18	models	model	NOUN
cana-3715	123	19	to	to	PART
cana-3715	123	20	differentiate	differentiate	VERB
cana-3715	123	21	between	between	ADP
cana-3715	123	22	healthy	healthy	ADJ
cana-3715	123	23	and	and	CCONJ
cana-3715	123	24	abnormal	abnormal	ADJ
cana-3715	123	25	gi	gi	NOUN
cana-3715	123	26	structures	structure	NOUN
cana-3715	123	27	effectively	effectively	ADV
cana-3715	123	28	.	.	PUNCT
cana-3715	124	1	by	by	ADP
cana-3715	124	2	correctly	correctly	ADV
cana-3715	124	3	identifying	identify	VERB
cana-3715	124	4	and	and	CCONJ
cana-3715	124	5	classifying	classify	VERB
cana-3715	124	6	the	the	DET
cana-3715	124	7	normal	normal	ADJ
cana-3715	124	8	z	z	NOUN
cana-3715	124	9	-	-	PUNCT
cana-3715	124	10	line	line	NOUN
cana-3715	124	11	,	,	PUNCT
cana-3715	124	12	the	the	DET
cana-3715	124	13	proposed	propose	VERB
cana-3715	124	14	ensemble	ensemble	NOUN
cana-3715	124	15	of	of	ADP
cana-3715	124	16	efficientnetv2	efficientnetv2	PROPN
cana-3715	124	17	and	and	CCONJ
cana-3715	124	18	vision	vision	NOUN
cana-3715	124	19	transformers	transformer	NOUN
cana-3715	124	20	can	can	AUX
cana-3715	124	21	be	be	AUX
cana-3715	124	22	more	more	ADV
cana-3715	124	23	accurate	accurate	ADJ
cana-3715	124	24	in	in	ADP
cana-3715	124	25	detecting	detect	VERB
cana-3715	124	26	early	early	ADJ
cana-3715	124	27	signs	sign	NOUN
cana-3715	124	28	of	of	ADP
cana-3715	124	29	gastrointestinal	gastrointestinal	ADJ
cana-3715	124	30	disorders	disorder	NOUN
cana-3715	124	31	,	,	PUNCT
cana-3715	124	32	aiding	aid	VERB
cana-3715	124	33	clinicians	clinician	NOUN
cana-3715	124	34	in	in	ADP
cana-3715	124	35	providing	provide	VERB
cana-3715	124	36	timely	timely	ADJ
cana-3715	124	37	diagnosis	diagnosis	NOUN
cana-3715	124	38	and	and	CCONJ
cana-3715	124	39	intervention	intervention	NOUN
cana-3715	124	40	.	.	PUNCT
cana-3715	125	1	additionally	additionally	ADV
cana-3715	125	2	,	,	PUNCT
cana-3715	125	3	the	the	DET
cana-3715	125	4	inclusion	inclusion	NOUN
cana-3715	125	5	of	of	ADP
cana-3715	125	6	this	this	DET
cana-3715	125	7	type	type	NOUN
cana-3715	125	8	of	of	ADP
cana-3715	125	9	normal	normal	ADJ
cana-3715	125	10	image	image	NOUN
cana-3715	125	11	in	in	ADP
cana-3715	125	12	our	our	PRON
cana-3715	125	13	augmented	augment	VERB
cana-3715	125	14	dataset	dataset	NOUN
cana-3715	125	15	helps	help	VERB
cana-3715	125	16	in	in	ADP
cana-3715	125	17	enhancing	enhance	VERB
cana-3715	125	18	the	the	DET
cana-3715	125	19	model	model	NOUN
cana-3715	125	20	’s	’s	PART
cana-3715	125	21	generalization	generalization	NOUN
cana-3715	125	22	capabilities	capability	NOUN
cana-3715	125	23	.	.	PUNCT
cana-3715	126	1	by	by	ADP
cana-3715	126	2	exposing	expose	VERB
cana-3715	126	3	the	the	DET
cana-3715	126	4	model	model	NOUN
cana-3715	126	5	to	to	ADP
cana-3715	126	6	both	both	CCONJ
cana-3715	126	7	normal	normal	ADJ
cana-3715	126	8	and	and	CCONJ
cana-3715	126	9	abnormal	abnormal	ADJ
cana-3715	126	10	cases	case	NOUN
cana-3715	126	11	,	,	PUNCT
cana-3715	126	12	it	it	PRON
cana-3715	126	13	is	be	AUX
cana-3715	126	14	better	well	ADV
cana-3715	126	15	equipped	equip	VERB
cana-3715	126	16	to	to	PART
cana-3715	126	17	handle	handle	VERB
cana-3715	126	18	the	the	DET
cana-3715	126	19	variability	variability	NOUN
cana-3715	126	20	in	in	ADP
cana-3715	126	21	patient	patient	ADJ
cana-3715	126	22	cases	case	NOUN
cana-3715	126	23	and	and	CCONJ
cana-3715	126	24	can	can	AUX
cana-3715	126	25	reduce	reduce	VERB
cana-3715	126	26	false	false	ADJ
cana-3715	126	27	-	-	PUNCT
cana-3715	126	28	positive	positive	ADJ
cana-3715	126	29	rates	rate	NOUN
cana-3715	126	30	in	in	ADP
cana-3715	126	31	clinical	clinical	ADJ
cana-3715	126	32	diagnostics	diagnostic	NOUN
cana-3715	126	33	.	.	PUNCT
cana-3715	127	1	thus	thus	ADV
cana-3715	127	2	,	,	PUNCT
cana-3715	127	3	a	a	DET
cana-3715	127	4	clear	clear	ADJ
cana-3715	127	5	understanding	understanding	NOUN
cana-3715	127	6	and	and	CCONJ
cana-3715	127	7	detection	detection	NOUN
cana-3715	127	8	of	of	ADP
cana-3715	127	9	the	the	DET
cana-3715	127	10	z	z	NOUN
cana-3715	127	11	-	-	PUNCT
cana-3715	127	12	line	line	NOUN
cana-3715	127	13	not	not	PART
cana-3715	127	14	only	only	ADV
cana-3715	127	15	serves	serve	VERB
cana-3715	127	16	as	as	ADP
cana-3715	127	17	a	a	DET
cana-3715	127	18	baseline	baseline	NOUN
cana-3715	127	19	but	but	CCONJ
cana-3715	127	20	is	be	AUX
cana-3715	127	21	also	also	ADV
cana-3715	127	22	crucial	crucial	ADJ
cana-3715	127	23	for	for	ADP
cana-3715	127	24	flagging	flag	VERB
cana-3715	127	25	anomalies	anomaly	NOUN
cana-3715	127	26	during	during	ADP
cana-3715	127	27	screening	screen	VERB
cana-3715	127	28	.	.	PUNCT
cana-3715	128	1	v.	v.	ADP
cana-3715	128	2	results	result	NOUN
cana-3715	128	3	and	and	CCONJ
cana-3715	128	4	analysis	analysis	NOUN
cana-3715	128	5	initial	initial	ADJ
cana-3715	128	6	results	result	NOUN
cana-3715	128	7	from	from	ADP
cana-3715	128	8	the	the	DET
cana-3715	128	9	augmented	augment	VERB
cana-3715	128	10	dataset	dataset	NOUN
cana-3715	128	11	show	show	NOUN
cana-3715	128	12	marked	mark	VERB
cana-3715	128	13	improvements	improvement	NOUN
cana-3715	128	14	in	in	ADP
cana-3715	128	15	model	model	NOUN
cana-3715	128	16	training	training	NOUN
cana-3715	128	17	and	and	CCONJ
cana-3715	128	18	validation	validation	NOUN
cana-3715	128	19	performance	performance	NOUN
cana-3715	128	20	.	.	PUNCT
cana-3715	129	1	efficientnetv2	efficientnetv2	PROPN
cana-3715	129	2	achieved	achieve	VERB
cana-3715	129	3	high	high	ADJ
cana-3715	129	4	consistency	consistency	NOUN
cana-3715	129	5	in	in	ADP
cana-3715	129	6	feature	feature	NOUN
cana-3715	129	7	extraction	extraction	NOUN
cana-3715	129	8	,	,	PUNCT
cana-3715	129	9	particularly	particularly	ADV
cana-3715	129	10	within	within	ADP
cana-3715	129	11	the	the	DET
cana-3715	129	12	newly	newly	ADV
cana-3715	129	13	introduced	introduce	VERB
cana-3715	129	14	gi	gi	NOUN
cana-3715	129	15	categories	category	NOUN
cana-3715	129	16	.	.	PUNCT
cana-3715	130	1	these	these	DET
cana-3715	130	2	findings	finding	NOUN
cana-3715	130	3	support	support	VERB
cana-3715	130	4	the	the	DET
cana-3715	130	5	efficacy	efficacy	NOUN
cana-3715	130	6	of	of	ADP
cana-3715	130	7	the	the	DET
cana-3715	130	8	phase	phase	NOUN
cana-3715	130	9	i	i	PRON
cana-3715	130	10	methodology	methodology	VERB
cana-3715	130	11	in	in	ADP
cana-3715	130	12	preparing	prepare	VERB
cana-3715	130	13	the	the	DET
cana-3715	130	14	dataset	dataset	NOUN
cana-3715	130	15	for	for	ADP
cana-3715	130	16	subsequent	subsequent	ADJ
cana-3715	130	17	diagnostic	diagnostic	ADJ
cana-3715	130	18	phases	phase	NOUN
cana-3715	130	19	.	.	PUNCT
cana-3715	131	1	the	the	DET
cana-3715	131	2	proposed	propose	VERB
cana-3715	131	3	model	model	NOUN
cana-3715	131	4	’s	’s	PART
cana-3715	131	5	effectiveness	effectiveness	NOUN
cana-3715	131	6	was	be	AUX
cana-3715	131	7	assessed	assess	VERB
cana-3715	131	8	using	use	VERB
cana-3715	131	9	accuracy	accuracy	NOUN
cana-3715	131	10	,	,	PUNCT
cana-3715	131	11	precision	precision	NOUN
cana-3715	131	12	,	,	PUNCT
cana-3715	131	13	recall	recall	NOUN
cana-3715	131	14	,	,	PUNCT
cana-3715	131	15	and	and	CCONJ
cana-3715	131	16	f1	f1	NOUN
cana-3715	131	17	-	-	PUNCT
cana-3715	131	18	score	score	NOUN
cana-3715	131	19	.	.	PUNCT
cana-3715	132	1	table	table	NOUN
cana-3715	132	2	iii	iii	NOUN
cana-3715	132	3	displays	display	VERB
cana-3715	132	4	the	the	DET
cana-3715	132	5	performance	performance	NOUN
cana-3715	132	6	metrics	metric	NOUN
cana-3715	132	7	of	of	ADP
cana-3715	132	8	the	the	DET
cana-3715	132	9	proposed	propose	VERB
cana-3715	132	10	and	and	CCONJ
cana-3715	132	11	baseline	baseline	NOUN
cana-3715	132	12	models	model	NOUN
cana-3715	132	13	,	,	PUNCT
cana-3715	132	14	while	while	SCONJ
cana-3715	132	15	figures	figure	NOUN
cana-3715	132	16	3	3	NUM
cana-3715	132	17	and	and	CCONJ
cana-3715	132	18	communications	communication	NOUN
cana-3715	132	19	on	on	ADP
cana-3715	132	20	applied	apply	VERB
cana-3715	132	21	nonlinear	nonlinear	ADJ
cana-3715	132	22	analysis	analysis	NOUN
cana-3715	132	23	issn	issn	NOUN
cana-3715	132	24	:	:	PUNCT
cana-3715	132	25	1074	1074	NUM
cana-3715	132	26	-	-	PUNCT
cana-3715	132	27	133x	133x	NUM
cana-3715	132	28	vol	vol	NOUN
cana-3715	132	29	32	32	NUM
cana-3715	132	30	no	no	NOUN
cana-3715	132	31	.	.	PUNCT
cana-3715	133	1	8s	8s	PROPN
cana-3715	133	2	(	(	PUNCT
cana-3715	133	3	2025	2025	NUM
cana-3715	133	4	)	)	PUNCT
cana-3715	133	5	544	544	NUM
cana-3715	133	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3715	133	7	5	5	NUM
cana-3715	133	8	illustrate	illustrate	VERB
cana-3715	133	9	the	the	DET
cana-3715	133	10	model	model	NOUN
cana-3715	133	11	’s	’s	PART
cana-3715	133	12	accuracy	accuracy	NOUN
cana-3715	133	13	trends	trend	NOUN
cana-3715	133	14	and	and	CCONJ
cana-3715	133	15	receiver	receiver	NOUN
cana-3715	133	16	operating	operate	VERB
cana-3715	133	17	characteristic	characteristic	NOUN
cana-3715	133	18	(	(	PUNCT
cana-3715	133	19	roc	roc	PROPN
cana-3715	133	20	)	)	PUNCT
cana-3715	133	21	curve	curve	NOUN
cana-3715	133	22	,	,	PUNCT
cana-3715	133	23	respectively	respectively	ADV
cana-3715	133	24	.	.	PUNCT
cana-3715	133	25	table	table	NOUN
cana-3715	133	26	iii	iii	NOUN
cana-3715	133	27	performance	performance	NOUN
cana-3715	133	28	metrics	metric	NOUN
cana-3715	133	29	comparison	comparison	NOUN
cana-3715	133	30	model	model	NOUN
cana-3715	133	31	accuracy	accuracy	NOUN
cana-3715	133	32	precision	precision	NOUN
cana-3715	133	33	recall	recall	VERB
cana-3715	133	34	f1	f1	NOUN
cana-3715	133	35	-	-	PUNCT
cana-3715	133	36	score	score	NOUN
cana-3715	133	37	baseline	baseline	NOUN
cana-3715	133	38	cnn	cnn	PROPN
cana-3715	133	39	83.2	83.2	NUM
cana-3715	133	40	%	%	NOUN
cana-3715	133	41	81.4	81.4	NUM
cana-3715	133	42	%	%	NOUN
cana-3715	133	43	79.9	79.9	NUM
cana-3715	133	44	%	%	NOUN
cana-3715	133	45	80.6	80.6	NUM
cana-3715	133	46	%	%	NOUN
cana-3715	133	47	resnet50	resnet50	NOUN
cana-3715	133	48	85.5	85.5	NUM
cana-3715	133	49	%	%	NOUN
cana-3715	133	50	84.1	84.1	NUM
cana-3715	133	51	%	%	NOUN
cana-3715	133	52	82.7	82.7	NUM
cana-3715	133	53	%	%	NOUN
cana-3715	133	54	83.4	83.4	NUM
cana-3715	133	55	%	%	NOUN
cana-3715	133	56	inceptionv3	inceptionv3	NOUN
cana-3715	133	57	88.3	88.3	NUM
cana-3715	133	58	%	%	NOUN
cana-3715	133	59	86.9	86.9	NUM
cana-3715	133	60	%	%	NOUN
cana-3715	133	61	85.5	85.5	NUM
cana-3715	133	62	%	%	NOUN
cana-3715	133	63	86.2	86.2	NUM
cana-3715	133	64	%	%	NOUN
cana-3715	133	65	proposed	propose	VERB
cana-3715	133	66	model	model	NOUN
cana-3715	133	67	93.6	93.6	NUM
cana-3715	133	68	%	%	NOUN
cana-3715	133	69	92.3	92.3	NUM
cana-3715	133	70	%	%	NOUN
cana-3715	133	71	91.8	91.8	NUM
cana-3715	133	72	%	%	NOUN
cana-3715	133	73	92.0	92.0	NUM
cana-3715	133	74	%	%	NOUN
cana-3715	133	75	the	the	DET
cana-3715	133	76	proposed	propose	VERB
cana-3715	133	77	model	model	NOUN
cana-3715	133	78	achieves	achieve	VERB
cana-3715	133	79	notable	notable	ADJ
cana-3715	133	80	improvements	improvement	NOUN
cana-3715	133	81	in	in	ADP
cana-3715	133	82	all	all	DET
cana-3715	133	83	metrics	metric	NOUN
cana-3715	133	84	,	,	PUNCT
cana-3715	133	85	with	with	ADP
cana-3715	133	86	an	an	DET
cana-3715	133	87	accuracy	accuracy	NOUN
cana-3715	133	88	increase	increase	NOUN
cana-3715	133	89	of	of	ADP
cana-3715	133	90	over	over	ADP
cana-3715	133	91	5	5	NUM
cana-3715	133	92	%	%	NOUN
cana-3715	133	93	compared	compare	VERB
cana-3715	133	94	to	to	ADP
cana-3715	133	95	inceptionv3	inceptionv3	NOUN
cana-3715	133	96	,	,	PUNCT
cana-3715	133	97	supporting	support	VERB
cana-3715	133	98	the	the	DET
cana-3715	133	99	robustness	robustness	NOUN
cana-3715	133	100	of	of	ADP
cana-3715	133	101	the	the	DET
cana-3715	133	102	data	datum	NOUN
cana-3715	133	103	augmentation	augmentation	NOUN
cana-3715	133	104	and	and	CCONJ
cana-3715	133	105	efficientnetv2based	efficientnetv2base	VERB
cana-3715	133	106	feature	feature	NOUN
cana-3715	133	107	extraction	extraction	NOUN
cana-3715	133	108	.	.	PUNCT
cana-3715	134	1	accuracy	accuracy	NOUN
cana-3715	134	2	over	over	ADP
cana-3715	134	3	training	training	NOUN
cana-3715	134	4	epochs	epoch	NOUN
cana-3715	134	5	fig	fig	NOUN
cana-3715	134	6	.	.	PUNCT
cana-3715	135	1	3	3	X
cana-3715	135	2	.	.	X
cana-3715	135	3	accuracy	accuracy	NOUN
cana-3715	135	4	over	over	ADP
cana-3715	135	5	epochs	epoch	NOUN
cana-3715	135	6	for	for	ADP
cana-3715	135	7	proposed	propose	VERB
cana-3715	135	8	model	model	NOUN
cana-3715	135	9	vs.	vs.	ADP
cana-3715	135	10	resnet50	resnet50	NOUN
cana-3715	135	11	precision	precision	NOUN
cana-3715	135	12	plays	play	VERB
cana-3715	135	13	a	a	DET
cana-3715	135	14	vital	vital	ADJ
cana-3715	135	15	role	role	NOUN
cana-3715	135	16	in	in	ADP
cana-3715	135	17	ensuring	ensure	VERB
cana-3715	135	18	accurate	accurate	ADJ
cana-3715	135	19	gi	gi	NOUN
cana-3715	135	20	diagnostics	diagnostic	NOUN
cana-3715	135	21	,	,	PUNCT
cana-3715	135	22	minimizing	minimize	VERB
cana-3715	135	23	the	the	DET
cana-3715	135	24	risk	risk	NOUN
cana-3715	135	25	of	of	ADP
cana-3715	135	26	false	false	ADJ
cana-3715	135	27	positives	positive	NOUN
cana-3715	135	28	.	.	PUNCT
cana-3715	136	1	figure	figure	NOUN
cana-3715	136	2	4	4	NUM
cana-3715	136	3	demonstrates	demonstrate	VERB
cana-3715	136	4	that	that	SCONJ
cana-3715	136	5	the	the	DET
cana-3715	136	6	proposed	propose	VERB
cana-3715	136	7	model	model	NOUN
cana-3715	136	8	achieves	achieve	VERB
cana-3715	136	9	the	the	DET
cana-3715	136	10	highest	high	ADJ
cana-3715	136	11	precision	precision	NOUN
cana-3715	136	12	,	,	PUNCT
cana-3715	136	13	reflecting	reflect	VERB
cana-3715	136	14	enhanced	enhanced	ADJ
cana-3715	136	15	reliability	reliability	NOUN
cana-3715	136	16	.	.	PUNCT
cana-3715	137	1	fig	fig	NOUN
cana-3715	137	2	.	.	PUNCT
cana-3715	138	1	4	4	X
cana-3715	138	2	.	.	X
cana-3715	138	3	precision	precision	NOUN
cana-3715	138	4	comparison	comparison	NOUN
cana-3715	138	5	of	of	ADP
cana-3715	138	6	proposed	propose	VERB
cana-3715	138	7	model	model	NOUN
cana-3715	138	8	vs.	vs.	ADP
cana-3715	138	9	other	other	ADJ
cana-3715	138	10	models	model	NOUN
cana-3715	138	11	the	the	DET
cana-3715	138	12	roc	roc	PROPN
cana-3715	138	13	curve	curve	NOUN
cana-3715	138	14	in	in	ADP
cana-3715	138	15	figure	figure	NOUN
cana-3715	138	16	5	5	NUM
cana-3715	138	17	shows	show	VERB
cana-3715	138	18	the	the	DET
cana-3715	138	19	proposed	propose	VERB
cana-3715	138	20	model	model	NOUN
cana-3715	138	21	’s	’s	PART
cana-3715	138	22	excellent	excellent	ADJ
cana-3715	138	23	auc	auc	NOUN
cana-3715	138	24	of	of	ADP
cana-3715	138	25	0.95	0.95	NUM
cana-3715	138	26	,	,	PUNCT
cana-3715	138	27	indicating	indicate	VERB
cana-3715	138	28	strong	strong	ADJ
cana-3715	138	29	per	per	ADP
cana-3715	138	30	formance	formance	NOUN
cana-3715	138	31	in	in	ADP
cana-3715	138	32	distinguishing	distinguish	VERB
cana-3715	138	33	between	between	ADP
cana-3715	138	34	positive	positive	ADJ
cana-3715	138	35	and	and	CCONJ
cana-3715	138	36	negative	negative	ADJ
cana-3715	138	37	cases	case	NOUN
cana-3715	138	38	.	.	PUNCT
cana-3715	139	1	communications	communication	NOUN
cana-3715	139	2	on	on	ADP
cana-3715	139	3	applied	apply	VERB
cana-3715	139	4	nonlinear	nonlinear	ADJ
cana-3715	139	5	analysis	analysis	NOUN
cana-3715	139	6	issn	issn	NOUN
cana-3715	139	7	:	:	PUNCT
cana-3715	139	8	1074	1074	NUM
cana-3715	139	9	-	-	PUNCT
cana-3715	139	10	133x	133x	NUM
cana-3715	139	11	vol	vol	NOUN
cana-3715	139	12	32	32	NUM
cana-3715	139	13	no	no	NOUN
cana-3715	139	14	.	.	PUNCT
cana-3715	140	1	8s	8s	PROPN
cana-3715	140	2	(	(	PUNCT
cana-3715	140	3	2025	2025	NUM
cana-3715	140	4	)	)	PUNCT
cana-3715	140	5	545	545	NUM
cana-3715	140	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3715	140	7	fig	fig	NOUN
cana-3715	140	8	.	.	PUNCT
cana-3715	141	1	5	5	X
cana-3715	141	2	.	.	X
cana-3715	141	3	roc	roc	PROPN
cana-3715	141	4	curve	curve	NOUN
cana-3715	141	5	for	for	ADP
cana-3715	141	6	the	the	DET
cana-3715	141	7	proposed	propose	VERB
cana-3715	141	8	model	model	NOUN
cana-3715	141	9	with	with	ADP
cana-3715	141	10	auc	auc	NOUN
cana-3715	141	11	of	of	ADP
cana-3715	141	12	0.95	0.95	NUM
cana-3715	141	13	the	the	DET
cana-3715	141	14	comprehensive	comprehensive	ADJ
cana-3715	141	15	performance	performance	NOUN
cana-3715	141	16	metrics	metric	NOUN
cana-3715	141	17	and	and	CCONJ
cana-3715	141	18	visualizations	visualization	NOUN
cana-3715	141	19	presented	present	VERB
cana-3715	141	20	here	here	ADV
cana-3715	141	21	validate	validate	VERB
cana-3715	141	22	the	the	DET
cana-3715	141	23	proposed	propose	VERB
cana-3715	141	24	model	model	NOUN
cana-3715	141	25	’s	’s	PART
cana-3715	141	26	enhanced	enhance	VERB
cana-3715	141	27	capabilities	capability	NOUN
cana-3715	141	28	in	in	ADP
cana-3715	141	29	gi	gi	NOUN
cana-3715	141	30	disease	disease	NOUN
cana-3715	141	31	detection	detection	NOUN
cana-3715	141	32	,	,	PUNCT
cana-3715	141	33	supporting	support	VERB
cana-3715	141	34	its	its	PRON
cana-3715	141	35	practical	practical	ADJ
cana-3715	141	36	application	application	NOUN
cana-3715	141	37	in	in	ADP
cana-3715	141	38	real	real	ADJ
cana-3715	141	39	-	-	PUNCT
cana-3715	141	40	world	world	NOUN
cana-3715	141	41	diagnostic	diagnostic	ADJ
cana-3715	141	42	settings	setting	NOUN
cana-3715	141	43	.	.	PUNCT
cana-3715	142	1	vi	vi	X
cana-3715	142	2	.	.	NOUN
cana-3715	142	3	discussion	discussion	NOUN
cana-3715	142	4	the	the	DET
cana-3715	142	5	findings	finding	NOUN
cana-3715	142	6	from	from	ADP
cana-3715	142	7	this	this	DET
cana-3715	142	8	study	study	NOUN
cana-3715	142	9	demonstrate	demonstrate	VERB
cana-3715	142	10	the	the	DET
cana-3715	142	11	impact	impact	NOUN
cana-3715	142	12	of	of	ADP
cana-3715	142	13	integrating	integrate	VERB
cana-3715	142	14	advanced	advanced	ADJ
cana-3715	142	15	data	datum	NOUN
cana-3715	142	16	augmentation	augmentation	NOUN
cana-3715	142	17	techniques	technique	NOUN
cana-3715	142	18	and	and	CCONJ
cana-3715	142	19	the	the	DET
cana-3715	142	20	efficientnetv2	efficientnetv2	PROPN
cana-3715	142	21	model	model	NOUN
cana-3715	142	22	for	for	ADP
cana-3715	142	23	feature	feature	NOUN
cana-3715	142	24	extraction	extraction	NOUN
cana-3715	142	25	in	in	ADP
cana-3715	142	26	gastrointestinal	gastrointestinal	ADJ
cana-3715	142	27	(	(	PUNCT
cana-3715	142	28	gi	gi	NOUN
cana-3715	142	29	)	)	PUNCT
cana-3715	142	30	disease	disease	NOUN
cana-3715	142	31	detection	detection	NOUN
cana-3715	142	32	.	.	PUNCT
cana-3715	143	1	by	by	ADP
cana-3715	143	2	focusing	focus	VERB
cana-3715	143	3	on	on	ADP
cana-3715	143	4	robust	robust	ADJ
cana-3715	143	5	augmentation	augmentation	NOUN
cana-3715	143	6	and	and	CCONJ
cana-3715	143	7	an	an	DET
cana-3715	143	8	adaptable	adaptable	ADJ
cana-3715	143	9	feature	feature	NOUN
cana-3715	143	10	extraction	extraction	NOUN
cana-3715	143	11	approach	approach	NOUN
cana-3715	143	12	,	,	PUNCT
cana-3715	143	13	this	this	DET
cana-3715	143	14	methodology	methodology	NOUN
cana-3715	143	15	addresses	address	VERB
cana-3715	143	16	the	the	DET
cana-3715	143	17	variability	variability	NOUN
cana-3715	143	18	and	and	CCONJ
cana-3715	143	19	complexity	complexity	NOUN
cana-3715	143	20	present	present	ADJ
cana-3715	143	21	in	in	ADP
cana-3715	143	22	gi	gi	ADJ
cana-3715	143	23	endoscopic	endoscopic	ADJ
cana-3715	143	24	images	image	NOUN
cana-3715	143	25	.	.	PUNCT
cana-3715	144	1	notably	notably	ADV
cana-3715	144	2	,	,	PUNCT
cana-3715	144	3	this	this	DET
cana-3715	144	4	approach	approach	NOUN
cana-3715	144	5	attempts	attempt	VERB
cana-3715	144	6	to	to	PART
cana-3715	144	7	counter	counter	VERB
cana-3715	144	8	issues	issue	NOUN
cana-3715	144	9	such	such	ADJ
cana-3715	144	10	as	as	ADP
cana-3715	144	11	lighting	lighting	NOUN
cana-3715	144	12	inconsistency	inconsistency	NOUN
cana-3715	144	13	,	,	PUNCT
cana-3715	144	14	varying	vary	VERB
cana-3715	144	15	angles	angle	NOUN
cana-3715	144	16	,	,	PUNCT
cana-3715	144	17	and	and	CCONJ
cana-3715	144	18	imaging	imaging	NOUN
cana-3715	144	19	noise	noise	NOUN
cana-3715	144	20	,	,	PUNCT
cana-3715	144	21	which	which	DET
cana-3715	144	22	frequently	frequently	ADV
cana-3715	144	23	challenge	challenge	NOUN
cana-3715	144	24	models	model	NOUN
cana-3715	144	25	trained	train	VERB
cana-3715	144	26	on	on	ADP
cana-3715	144	27	medical	medical	ADJ
cana-3715	144	28	datasets	dataset	NOUN
cana-3715	144	29	.	.	PUNCT
cana-3715	145	1	our	our	PRON
cana-3715	145	2	choice	choice	NOUN
cana-3715	145	3	of	of	ADP
cana-3715	145	4	efficientnetv2	efficientnetv2	NOUN
cana-3715	145	5	is	be	AUX
cana-3715	145	6	validated	validate	VERB
cana-3715	145	7	through	through	ADP
cana-3715	145	8	its	its	PRON
cana-3715	145	9	ability	ability	NOUN
cana-3715	145	10	to	to	PART
cana-3715	145	11	balance	balance	VERB
cana-3715	145	12	depth	depth	NOUN
cana-3715	145	13	,	,	PUNCT
cana-3715	145	14	width	width	ADJ
cana-3715	145	15	,	,	PUNCT
cana-3715	145	16	and	and	CCONJ
cana-3715	145	17	resolution	resolution	NOUN
cana-3715	145	18	effectively	effectively	ADV
cana-3715	145	19	,	,	PUNCT
cana-3715	145	20	showcasing	showcase	VERB
cana-3715	145	21	strong	strong	ADJ
cana-3715	145	22	feature	feature	NOUN
cana-3715	145	23	extraction	extraction	NOUN
cana-3715	145	24	capabilities	capability	NOUN
cana-3715	145	25	in	in	ADP
cana-3715	145	26	handling	handle	VERB
cana-3715	145	27	diverse	diverse	ADJ
cana-3715	145	28	gi	gi	NOUN
cana-3715	145	29	conditions	condition	NOUN
cana-3715	145	30	.	.	PUNCT
cana-3715	146	1	the	the	DET
cana-3715	146	2	augmented	augment	VERB
cana-3715	146	3	dataset	dataset	NOUN
cana-3715	146	4	,	,	PUNCT
cana-3715	146	5	particularly	particularly	ADV
cana-3715	146	6	with	with	ADP
cana-3715	146	7	the	the	DET
cana-3715	146	8	added	add	VERB
cana-3715	146	9	classes	class	NOUN
cana-3715	146	10	,	,	PUNCT
cana-3715	146	11	provides	provide	VERB
cana-3715	146	12	an	an	DET
cana-3715	146	13	enriched	enriched	ADJ
cana-3715	146	14	platform	platform	NOUN
cana-3715	146	15	that	that	PRON
cana-3715	146	16	is	be	AUX
cana-3715	146	17	closer	close	ADJ
cana-3715	146	18	to	to	ADP
cana-3715	146	19	real	real	ADJ
cana-3715	146	20	-	-	PUNCT
cana-3715	146	21	world	world	NOUN
cana-3715	146	22	scenarios	scenario	NOUN
cana-3715	146	23	.	.	PUNCT
cana-3715	147	1	this	this	DET
cana-3715	147	2	inclusion	inclusion	NOUN
cana-3715	147	3	broadens	broaden	VERB
cana-3715	147	4	the	the	DET
cana-3715	147	5	model	model	NOUN
cana-3715	147	6	’s	’s	PART
cana-3715	147	7	diagnostic	diagnostic	ADJ
cana-3715	147	8	utility	utility	NOUN
cana-3715	147	9	,	,	PUNCT
cana-3715	147	10	allowing	allow	VERB
cana-3715	147	11	it	it	PRON
cana-3715	147	12	to	to	PART
cana-3715	147	13	better	well	ADV
cana-3715	147	14	distinguish	distinguish	VERB
cana-3715	147	15	between	between	ADP
cana-3715	147	16	normal	normal	ADJ
cana-3715	147	17	and	and	CCONJ
cana-3715	147	18	abnormal	abnormal	ADJ
cana-3715	147	19	gi	gi	NOUN
cana-3715	147	20	features	feature	NOUN
cana-3715	147	21	,	,	PUNCT
cana-3715	147	22	as	as	ADV
cana-3715	147	23	well	well	ADV
cana-3715	147	24	as	as	ADP
cana-3715	147	25	between	between	ADP
cana-3715	147	26	different	different	ADJ
cana-3715	147	27	pathologies	pathology	NOUN
cana-3715	147	28	.	.	PUNCT
cana-3715	148	1	the	the	DET
cana-3715	148	2	improved	improved	ADJ
cana-3715	148	3	accuracy	accuracy	NOUN
cana-3715	148	4	observed	observe	VERB
cana-3715	148	5	in	in	ADP
cana-3715	148	6	the	the	DET
cana-3715	148	7	results	result	NOUN
cana-3715	148	8	is	be	AUX
cana-3715	148	9	indicative	indicative	ADJ
cana-3715	148	10	of	of	ADP
cana-3715	148	11	the	the	DET
cana-3715	148	12	benefits	benefit	NOUN
cana-3715	148	13	that	that	PRON
cana-3715	148	14	data	data	VERB
cana-3715	148	15	diversity	diversity	NOUN
cana-3715	148	16	and	and	CCONJ
cana-3715	148	17	careful	careful	ADJ
cana-3715	148	18	class	class	NOUN
cana-3715	148	19	representation	representation	NOUN
cana-3715	148	20	can	can	AUX
cana-3715	148	21	bring	bring	VERB
cana-3715	148	22	to	to	ADP
cana-3715	148	23	the	the	DET
cana-3715	148	24	training	training	NOUN
cana-3715	148	25	process	process	NOUN
cana-3715	148	26	.	.	PUNCT
cana-3715	149	1	moreover	moreover	ADV
cana-3715	149	2	,	,	PUNCT
cana-3715	149	3	the	the	DET
cana-3715	149	4	stacking	stack	VERB
cana-3715	149	5	ensemble	ensemble	ADJ
cana-3715	149	6	methods	method	NOUN
cana-3715	149	7	,	,	PUNCT
cana-3715	149	8	which	which	PRON
cana-3715	149	9	will	will	AUX
cana-3715	149	10	be	be	AUX
cana-3715	149	11	part	part	NOUN
cana-3715	149	12	of	of	ADP
cana-3715	149	13	future	future	ADJ
cana-3715	149	14	phases	phase	NOUN
cana-3715	149	15	,	,	PUNCT
cana-3715	149	16	aim	aim	VERB
cana-3715	149	17	to	to	PART
cana-3715	149	18	complement	complement	VERB
cana-3715	149	19	this	this	DET
cana-3715	149	20	initial	initial	ADJ
cana-3715	149	21	setup	setup	NOUN
cana-3715	149	22	by	by	ADP
cana-3715	149	23	leveraging	leverage	VERB
cana-3715	149	24	the	the	DET
cana-3715	149	25	strengths	strength	NOUN
cana-3715	149	26	of	of	ADP
cana-3715	149	27	other	other	ADJ
cana-3715	149	28	models	model	NOUN
cana-3715	149	29	in	in	ADP
cana-3715	149	30	combination	combination	NOUN
cana-3715	149	31	with	with	ADP
cana-3715	149	32	efficientnetv2	efficientnetv2	NOUN
cana-3715	149	33	to	to	PART
cana-3715	149	34	further	far	ADV
cana-3715	149	35	improve	improve	VERB
cana-3715	149	36	detection	detection	NOUN
cana-3715	149	37	rates	rate	NOUN
cana-3715	149	38	.	.	PUNCT
cana-3715	150	1	while	while	SCONJ
cana-3715	150	2	promising	promise	VERB
cana-3715	150	3	,	,	PUNCT
cana-3715	150	4	the	the	DET
cana-3715	150	5	current	current	ADJ
cana-3715	150	6	setup	setup	NOUN
cana-3715	150	7	is	be	AUX
cana-3715	150	8	not	not	PART
cana-3715	150	9	without	without	ADP
cana-3715	150	10	limitations	limitation	NOUN
cana-3715	150	11	.	.	PUNCT
cana-3715	151	1	training	train	VERB
cana-3715	151	2	deep	deep	ADJ
cana-3715	151	3	learning	learning	NOUN
cana-3715	151	4	models	model	NOUN
cana-3715	151	5	with	with	ADP
cana-3715	151	6	ex	ex	X
cana-3715	151	7	tensive	tensive	ADJ
cana-3715	151	8	augmentation	augmentation	NOUN
cana-3715	151	9	can	can	AUX
cana-3715	151	10	be	be	AUX
cana-3715	151	11	computationally	computationally	ADV
cana-3715	151	12	intensive	intensive	ADJ
cana-3715	151	13	,	,	PUNCT
cana-3715	151	14	potentially	potentially	ADV
cana-3715	151	15	limiting	limit	VERB
cana-3715	151	16	the	the	DET
cana-3715	151	17	model	model	NOUN
cana-3715	151	18	’s	’s	PART
cana-3715	151	19	deployment	deployment	NOUN
cana-3715	151	20	in	in	ADP
cana-3715	151	21	resourceconstrained	resourceconstraine	VERB
cana-3715	151	22	settings	setting	NOUN
cana-3715	151	23	.	.	PUNCT
cana-3715	152	1	future	future	ADJ
cana-3715	152	2	work	work	NOUN
cana-3715	152	3	will	will	AUX
cana-3715	152	4	aim	aim	VERB
cana-3715	152	5	to	to	PART
cana-3715	152	6	optimize	optimize	VERB
cana-3715	152	7	computational	computational	ADJ
cana-3715	152	8	efficiency	efficiency	NOUN
cana-3715	152	9	,	,	PUNCT
cana-3715	152	10	perhaps	perhaps	ADV
cana-3715	152	11	by	by	ADP
cana-3715	152	12	investigating	investigate	VERB
cana-3715	152	13	model	model	NOUN
cana-3715	152	14	compression	compression	NOUN
cana-3715	152	15	techniques	technique	NOUN
cana-3715	152	16	or	or	CCONJ
cana-3715	152	17	adaptive	adaptive	ADJ
cana-3715	152	18	scaling	scaling	NOUN
cana-3715	152	19	methods	method	NOUN
cana-3715	152	20	.	.	PUNCT
cana-3715	153	1	additionally	additionally	ADV
cana-3715	153	2	,	,	PUNCT
cana-3715	153	3	as	as	SCONJ
cana-3715	153	4	we	we	PRON
cana-3715	153	5	prepare	prepare	VERB
cana-3715	153	6	for	for	ADP
cana-3715	153	7	real	real	ADJ
cana-3715	153	8	-	-	PUNCT
cana-3715	153	9	world	world	NOUN
cana-3715	153	10	clinical	clinical	ADJ
cana-3715	153	11	applications	application	NOUN
cana-3715	153	12	,	,	PUNCT
cana-3715	153	13	interpretability	interpretability	NOUN
cana-3715	153	14	remains	remain	VERB
cana-3715	153	15	a	a	DET
cana-3715	153	16	key	key	ADJ
cana-3715	153	17	focus	focus	NOUN
cana-3715	153	18	.	.	PUNCT
cana-3715	154	1	transparent	transparent	ADJ
cana-3715	154	2	diagnostic	diagnostic	ADJ
cana-3715	154	3	outputs	output	NOUN
cana-3715	154	4	that	that	PRON
cana-3715	154	5	clinicians	clinician	NOUN
cana-3715	154	6	can	can	AUX
cana-3715	154	7	rely	rely	VERB
cana-3715	154	8	on	on	ADP
cana-3715	154	9	will	will	AUX
cana-3715	154	10	be	be	AUX
cana-3715	154	11	essential	essential	ADJ
cana-3715	154	12	to	to	ADP
cana-3715	154	13	the	the	DET
cana-3715	154	14	successful	successful	ADJ
cana-3715	154	15	integration	integration	NOUN
cana-3715	154	16	of	of	ADP
cana-3715	154	17	this	this	DET
cana-3715	154	18	system	system	NOUN
cana-3715	154	19	into	into	ADP
cana-3715	154	20	healthcare	healthcare	NOUN
cana-3715	154	21	workflows	workflow	NOUN
cana-3715	154	22	.	.	PUNCT
cana-3715	155	1	vii	vii	PROPN
cana-3715	155	2	.	.	PROPN
cana-3715	155	3	conclusion	conclusion	NOUN
cana-3715	155	4	this	this	DET
cana-3715	155	5	initial	initial	ADJ
cana-3715	155	6	phase	phase	NOUN
cana-3715	155	7	of	of	ADP
cana-3715	155	8	the	the	DET
cana-3715	155	9	proposed	propose	VERB
cana-3715	155	10	multi	multi	ADJ
cana-3715	155	11	-	-	ADJ
cana-3715	155	12	step	step	ADJ
cana-3715	155	13	approach	approach	NOUN
cana-3715	155	14	offers	offer	VERB
cana-3715	155	15	a	a	DET
cana-3715	155	16	compelling	compelling	ADJ
cana-3715	155	17	foundation	foundation	NOUN
cana-3715	155	18	for	for	ADP
cana-3715	155	19	enhancing	enhance	VERB
cana-3715	155	20	gi	gi	NOUN
cana-3715	155	21	disease	disease	NOUN
cana-3715	155	22	detection	detection	NOUN
cana-3715	155	23	.	.	PUNCT
cana-3715	156	1	through	through	ADP
cana-3715	156	2	the	the	DET
cana-3715	156	3	strategic	strategic	ADJ
cana-3715	156	4	use	use	NOUN
cana-3715	156	5	of	of	ADP
cana-3715	156	6	data	datum	NOUN
cana-3715	156	7	augmentation	augmentation	NOUN
cana-3715	156	8	and	and	CCONJ
cana-3715	156	9	efficientnetv2	efficientnetv2	NOUN
cana-3715	156	10	-	-	PUNCT
cana-3715	156	11	based	base	VERB
cana-3715	156	12	feature	feature	NOUN
cana-3715	156	13	communications	communication	NOUN
cana-3715	156	14	on	on	ADP
cana-3715	156	15	applied	apply	VERB
cana-3715	156	16	nonlinear	nonlinear	ADJ
cana-3715	156	17	analysis	analysis	NOUN
cana-3715	156	18	issn	issn	NOUN
cana-3715	156	19	:	:	PUNCT
cana-3715	156	20	1074	1074	NUM
cana-3715	156	21	-	-	PUNCT
cana-3715	156	22	133x	133x	NUM
cana-3715	156	23	vol	vol	NOUN
cana-3715	156	24	32	32	NUM
cana-3715	156	25	no	no	NOUN
cana-3715	156	26	.	.	PUNCT
cana-3715	157	1	8s	8s	PROPN
cana-3715	157	2	(	(	PUNCT
cana-3715	157	3	2025	2025	NUM
cana-3715	157	4	)	)	PUNCT
cana-3715	157	5	546	546	NUM
cana-3715	157	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3715	157	7	extraction	extraction	NOUN
cana-3715	157	8	,	,	PUNCT
cana-3715	157	9	the	the	DET
cana-3715	157	10	model	model	NOUN
cana-3715	157	11	addresses	address	VERB
cana-3715	157	12	core	core	ADJ
cana-3715	157	13	challenges	challenge	NOUN
cana-3715	157	14	in	in	ADP
cana-3715	157	15	medical	medical	ADJ
cana-3715	157	16	imaging	imaging	NOUN
cana-3715	157	17	,	,	PUNCT
cana-3715	157	18	particularly	particularly	ADV
cana-3715	157	19	in	in	ADP
cana-3715	157	20	the	the	DET
cana-3715	157	21	context	context	NOUN
cana-3715	157	22	of	of	ADP
cana-3715	157	23	gi	gi	NOUN
cana-3715	157	24	diagnostics	diagnostic	NOUN
cana-3715	157	25	.	.	PUNCT
cana-3715	158	1	the	the	DET
cana-3715	158	2	inclusion	inclusion	NOUN
cana-3715	158	3	of	of	ADP
cana-3715	158	4	new	new	ADJ
cana-3715	158	5	,	,	PUNCT
cana-3715	158	6	clinically	clinically	ADV
cana-3715	158	7	relevant	relevant	ADJ
cana-3715	158	8	classes	class	NOUN
cana-3715	158	9	in	in	ADP
cana-3715	158	10	the	the	DET
cana-3715	158	11	gastrovision	gastrovision	NOUN
cana-3715	158	12	dataset	dataset	VERB
cana-3715	158	13	not	not	PART
cana-3715	158	14	only	only	ADV
cana-3715	158	15	improves	improve	VERB
cana-3715	158	16	model	model	NOUN
cana-3715	158	17	accuracy	accuracy	NOUN
cana-3715	158	18	but	but	CCONJ
cana-3715	158	19	also	also	ADV
cana-3715	158	20	aligns	align	VERB
cana-3715	158	21	the	the	DET
cana-3715	158	22	model	model	NOUN
cana-3715	158	23	’s	’s	PART
cana-3715	158	24	outputs	output	NOUN
cana-3715	158	25	more	more	ADV
cana-3715	158	26	closely	closely	ADV
cana-3715	158	27	with	with	ADP
cana-3715	158	28	clinical	clinical	ADJ
cana-3715	158	29	needs	need	NOUN
cana-3715	158	30	.	.	PUNCT
cana-3715	159	1	this	this	DET
cana-3715	159	2	study	study	NOUN
cana-3715	159	3	underscores	underscore	VERB
cana-3715	159	4	the	the	DET
cana-3715	159	5	importance	importance	NOUN
cana-3715	159	6	of	of	ADP
cana-3715	159	7	combining	combine	VERB
cana-3715	159	8	data	datum	NOUN
cana-3715	159	9	diversity	diversity	NOUN
cana-3715	159	10	with	with	ADP
cana-3715	159	11	model	model	NOUN
cana-3715	159	12	flexibility	flexibility	NOUN
cana-3715	159	13	,	,	PUNCT
cana-3715	159	14	creating	create	VERB
cana-3715	159	15	a	a	DET
cana-3715	159	16	robust	robust	ADJ
cana-3715	159	17	system	system	NOUN
cana-3715	159	18	capable	capable	ADJ
cana-3715	159	19	of	of	ADP
cana-3715	159	20	adapting	adapt	VERB
cana-3715	159	21	to	to	ADP
cana-3715	159	22	the	the	DET
cana-3715	159	23	intricacies	intricacy	NOUN
cana-3715	159	24	of	of	ADP
cana-3715	159	25	gi	gi	NUM
cana-3715	159	26	endoscopy	endoscopy	NOUN
cana-3715	159	27	images	image	NOUN
cana-3715	159	28	.	.	PUNCT
cana-3715	160	1	looking	look	VERB
cana-3715	160	2	ahead	ahead	ADV
cana-3715	160	3	,	,	PUNCT
cana-3715	160	4	future	future	ADJ
cana-3715	160	5	work	work	NOUN
cana-3715	160	6	will	will	AUX
cana-3715	160	7	expand	expand	VERB
cana-3715	160	8	upon	upon	SCONJ
cana-3715	160	9	this	this	DET
cana-3715	160	10	foundation	foundation	NOUN
cana-3715	160	11	by	by	ADP
cana-3715	160	12	incorporating	incorporate	VERB
cana-3715	160	13	ensemble	ensemble	ADJ
cana-3715	160	14	methods	method	NOUN
cana-3715	160	15	to	to	PART
cana-3715	160	16	synthesize	synthesize	VERB
cana-3715	160	17	outputs	output	NOUN
cana-3715	160	18	from	from	ADP
cana-3715	160	19	multiple	multiple	ADJ
cana-3715	160	20	model	model	NOUN
cana-3715	160	21	architectures	architecture	NOUN
cana-3715	160	22	,	,	PUNCT
cana-3715	160	23	ultimately	ultimately	ADV
cana-3715	160	24	aiming	aim	VERB
cana-3715	160	25	for	for	ADP
cana-3715	160	26	even	even	ADV
cana-3715	160	27	higher	high	ADJ
cana-3715	160	28	precision	precision	NOUN
cana-3715	160	29	and	and	CCONJ
cana-3715	160	30	recall	recall	NOUN
cana-3715	160	31	in	in	ADP
cana-3715	160	32	detecting	detect	VERB
cana-3715	160	33	a	a	DET
cana-3715	160	34	wide	wide	ADJ
cana-3715	160	35	range	range	NOUN
cana-3715	160	36	of	of	ADP
cana-3715	160	37	gi	gi	NOUN
cana-3715	160	38	conditions	condition	NOUN
cana-3715	160	39	.	.	PUNCT
cana-3715	161	1	the	the	DET
cana-3715	161	2	goal	goal	NOUN
cana-3715	161	3	is	be	AUX
cana-3715	161	4	to	to	PART
cana-3715	161	5	build	build	VERB
cana-3715	161	6	a	a	DET
cana-3715	161	7	comprehensive	comprehensive	ADJ
cana-3715	161	8	,	,	PUNCT
cana-3715	161	9	reliable	reliable	ADJ
cana-3715	161	10	diagnostic	diagnostic	ADJ
cana-3715	161	11	tool	tool	NOUN
cana-3715	161	12	that	that	PRON
cana-3715	161	13	can	can	AUX
cana-3715	161	14	offer	offer	VERB
cana-3715	161	15	substantial	substantial	ADJ
cana-3715	161	16	support	support	NOUN
cana-3715	161	17	to	to	ADP
cana-3715	161	18	clinicians	clinician	NOUN
cana-3715	161	19	,	,	PUNCT
cana-3715	161	20	enhancing	enhance	VERB
cana-3715	161	21	diagnostic	diagnostic	ADJ
cana-3715	161	22	accuracy	accuracy	NOUN
cana-3715	161	23	and	and	CCONJ
cana-3715	161	24	contributing	contribute	VERB
cana-3715	161	25	to	to	ADP
cana-3715	161	26	improved	improve	VERB
cana-3715	161	27	patient	patient	ADJ
cana-3715	161	28	outcomes	outcome	NOUN
cana-3715	161	29	.	.	PUNCT
cana-3715	162	1	with	with	ADP
cana-3715	162	2	further	further	ADJ
cana-3715	162	3	refinement	refinement	NOUN
cana-3715	162	4	,	,	PUNCT
cana-3715	162	5	this	this	DET
cana-3715	162	6	approach	approach	NOUN
cana-3715	162	7	holds	hold	VERB
cana-3715	162	8	promise	promise	NOUN
cana-3715	162	9	for	for	ADP
cana-3715	162	10	creating	create	VERB
cana-3715	162	11	a	a	DET
cana-3715	162	12	scalable	scalable	ADJ
cana-3715	162	13	,	,	PUNCT
cana-3715	162	14	ai	ai	ADJ
cana-3715	162	15	-	-	PUNCT
cana-3715	162	16	driven	drive	VERB
cana-3715	162	17	diagnostic	diagnostic	ADJ
cana-3715	162	18	framework	framework	NOUN
cana-3715	162	19	that	that	PRON
cana-3715	162	20	could	could	AUX
cana-3715	162	21	be	be	AUX
cana-3715	162	22	instrumental	instrumental	ADJ
cana-3715	162	23	in	in	ADP
cana-3715	162	24	the	the	DET
cana-3715	162	25	early	early	ADJ
cana-3715	162	26	detection	detection	NOUN
cana-3715	162	27	and	and	CCONJ
cana-3715	162	28	management	management	NOUN
cana-3715	162	29	of	of	ADP
cana-3715	162	30	gi	gi	NOUN
cana-3715	162	31	diseases	disease	NOUN
cana-3715	162	32	.	.	PUNCT
cana-3715	163	1	references	reference	NOUN
cana-3715	163	2	[	[	X
cana-3715	163	3	1	1	NUM
cana-3715	163	4	]	]	PUNCT
cana-3715	163	5	a.	a.	NOUN
cana-3715	163	6	a.	a.	PROPN
cana-3715	163	7	kane	kane	PROPN
cana-3715	163	8	,	,	PUNCT
cana-3715	163	9	and	and	CCONJ
cana-3715	163	10	t.	t.	PROPN
cana-3715	163	11	y.	y.	PROPN
cana-3715	163	12	lieu	lieu	PROPN
cana-3715	163	13	,	,	PUNCT
cana-3715	163	14	“	"	PUNCT
cana-3715	163	15	global	global	ADJ
cana-3715	163	16	burden	burden	NOUN
cana-3715	163	17	of	of	ADP
cana-3715	163	18	gastrointestinal	gastrointestinal	ADJ
cana-3715	163	19	diseases	disease	NOUN
cana-3715	163	20	:	:	PUNCT
cana-3715	163	21	an	an	DET
cana-3715	163	22	updated	update	VERB
cana-3715	163	23	analysis	analysis	NOUN
cana-3715	163	24	,	,	PUNCT
cana-3715	163	25	”	"	PUNCT
cana-3715	163	26	world	world	NOUN
cana-3715	163	27	journal	journal	NOUN
cana-3715	163	28	of	of	ADP
cana-3715	163	29	gastroenterology	gastroenterology	NOUN
cana-3715	163	30	,	,	PUNCT
cana-3715	163	31	vol	vol	NOUN
cana-3715	163	32	.	.	PROPN
cana-3715	163	33	28	28	NUM
cana-3715	163	34	,	,	PUNCT
cana-3715	163	35	no	no	INTJ
cana-3715	163	36	.	.	NOUN
cana-3715	163	37	12	12	NUM
cana-3715	163	38	,	,	PUNCT
cana-3715	163	39	pp	pp	ADJ
cana-3715	163	40	.	.	PUNCT
cana-3715	164	1	543–557	543–557	NUM
cana-3715	164	2	,	,	PUNCT
cana-3715	164	3	mar	mar	PROPN
cana-3715	164	4	.	.	PROPN
cana-3715	164	5	2022	2022	NUM
cana-3715	164	6	.	.	PUNCT
cana-3715	165	1	doi	doi	NOUN
cana-3715	165	2	:	:	PUNCT
cana-3715	165	3	10.3748	10.3748	NUM
cana-3715	165	4	/	/	SYM
cana-3715	165	5	wjg.v28.i12.543	wjg.v28.i12.543	ADJ
cana-3715	165	6	.	.	PUNCT
cana-3715	166	1	[	[	X
cana-3715	166	2	2	2	NUM
cana-3715	166	3	]	]	PUNCT
cana-3715	166	4	d.	d.	PROPN
cana-3715	166	5	k.	k.	PROPN
cana-3715	166	6	larson	larson	PROPN
cana-3715	166	7	,	,	PUNCT
cana-3715	166	8	m.	m.	PROPN
cana-3715	166	9	w.	w.	PROPN
cana-3715	166	10	smith	smith	PROPN
cana-3715	166	11	,	,	PUNCT
cana-3715	166	12	and	and	CCONJ
cana-3715	166	13	p.	p.	NOUN
cana-3715	166	14	patel	patel	PROPN
cana-3715	166	15	,	,	PUNCT
cana-3715	166	16	“	"	PUNCT
cana-3715	166	17	the	the	DET
cana-3715	166	18	rising	rise	VERB
cana-3715	166	19	costs	cost	NOUN
cana-3715	166	20	of	of	ADP
cana-3715	166	21	gastrointestinal	gastrointestinal	ADJ
cana-3715	166	22	disorders	disorder	NOUN
cana-3715	166	23	and	and	CCONJ
cana-3715	166	24	diseases	disease	NOUN
cana-3715	166	25	in	in	ADP
cana-3715	166	26	global	global	ADJ
cana-3715	166	27	healthcare	healthcare	PROPN
cana-3715	166	28	systems	system	NOUN
cana-3715	166	29	,	,	PUNCT
cana-3715	166	30	”	"	PUNCT
cana-3715	166	31	bmc	bmc	PROPN
cana-3715	166	32	health	health	NOUN
cana-3715	166	33	economics	economic	NOUN
cana-3715	166	34	,	,	PUNCT
cana-3715	166	35	vol	vol	NOUN
cana-3715	166	36	.	.	PROPN
cana-3715	166	37	22	22	NUM
cana-3715	166	38	,	,	PUNCT
cana-3715	166	39	pp	pp	ADJ
cana-3715	166	40	.	.	PUNCT
cana-3715	167	1	205–215	205–215	NUM
cana-3715	167	2	,	,	PUNCT
cana-3715	167	3	jul	jul	PROPN
cana-3715	167	4	.	.	PROPN
cana-3715	167	5	2021	2021	NUM
cana-3715	167	6	.	.	PUNCT
cana-3715	168	1	doi	doi	NOUN
cana-3715	168	2	:	:	PUNCT
cana-3715	168	3	10.1186	10.1186	NUM
cana-3715	168	4	/	/	SYM
cana-3715	168	5	s12962	s12962	PROPN
cana-3715	168	6	-	-	PUNCT
cana-3715	168	7	021	021	NUM
cana-3715	168	8	-	-	PUNCT
cana-3715	168	9	00234	00234	NUM
cana-3715	168	10	-	-	PUNCT
cana-3715	168	11	w.	w.	NOUN
cana-3715	169	1	[	[	X
cana-3715	169	2	3	3	X
cana-3715	169	3	]	]	PUNCT
cana-3715	169	4	s.	s.	PROPN
cana-3715	169	5	r.	r.	PROPN
cana-3715	169	6	singh	singh	PROPN
cana-3715	169	7	,	,	PUNCT
cana-3715	169	8	j.	j.	PROPN
cana-3715	169	9	k.	k.	PROPN
cana-3715	169	10	wang	wang	PROPN
cana-3715	169	11	,	,	PUNCT
cana-3715	169	12	and	and	CCONJ
cana-3715	169	13	n.	n.	PROPN
cana-3715	169	14	t.	t.	PROPN
cana-3715	169	15	kim	kim	PROPN
cana-3715	169	16	,	,	PUNCT
cana-3715	169	17	“	"	PUNCT
cana-3715	169	18	application	application	NOUN
cana-3715	169	19	of	of	ADP
cana-3715	169	20	deep	deep	ADJ
cana-3715	169	21	learning	learning	NOUN
cana-3715	169	22	for	for	ADP
cana-3715	169	23	endoscopic	endoscopic	ADJ
cana-3715	169	24	image	image	NOUN
cana-3715	169	25	classification	classification	NOUN
cana-3715	169	26	:	:	PUNCT
cana-3715	169	27	a	a	DET
cana-3715	169	28	review	review	NOUN
cana-3715	169	29	of	of	ADP
cana-3715	169	30	methods	method	NOUN
cana-3715	169	31	and	and	CCONJ
cana-3715	169	32	performance	performance	NOUN
cana-3715	169	33	,	,	PUNCT
cana-3715	169	34	”	"	PUNCT
cana-3715	169	35	ieee	ieee	NOUN
cana-3715	169	36	access	access	NOUN
cana-3715	169	37	,	,	PUNCT
cana-3715	169	38	vol	vol	NOUN
cana-3715	169	39	.	.	NOUN
cana-3715	169	40	9	9	NUM
cana-3715	169	41	,	,	PUNCT
cana-3715	169	42	pp	pp	ADJ
cana-3715	169	43	.	.	PUNCT
cana-3715	170	1	23476–23485	23476–23485	NUM
cana-3715	170	2	,	,	PUNCT
cana-3715	170	3	2021	2021	NUM
cana-3715	170	4	.	.	PUNCT
cana-3715	171	1	doi	doi	NOUN
cana-3715	171	2	:	:	PUNCT
cana-3715	171	3	10.1109	10.1109	NUM
cana-3715	171	4	/	/	SYM
cana-3715	171	5	access.2021.3053479	access.2021.3053479	PROPN
cana-3715	171	6	.	.	PUNCT
cana-3715	172	1	[	[	X
cana-3715	172	2	4	4	X
cana-3715	172	3	]	]	X
cana-3715	172	4	m.	m.	NOUN
cana-3715	172	5	abdar	abdar	NOUN
cana-3715	172	6	,	,	PUNCT
cana-3715	172	7	f.	f.	PROPN
cana-3715	172	8	w.	w.	PROPN
cana-3715	172	9	laird	laird	PROPN
cana-3715	172	10	,	,	PUNCT
cana-3715	172	11	and	and	CCONJ
cana-3715	172	12	s.	s.	PROPN
cana-3715	172	13	li	li	PROPN
cana-3715	172	14	,	,	PUNCT
cana-3715	172	15	“	"	PUNCT
cana-3715	172	16	data	data	NOUN
cana-3715	172	17	augmentation	augmentation	NOUN
cana-3715	172	18	in	in	ADP
cana-3715	172	19	medical	medical	ADJ
cana-3715	172	20	imaging	imaging	NOUN
cana-3715	172	21	:	:	PUNCT
cana-3715	172	22	a	a	DET
cana-3715	172	23	comprehensive	comprehensive	ADJ
cana-3715	172	24	overview	overview	NOUN
cana-3715	172	25	of	of	ADP
cana-3715	172	26	techniques	technique	NOUN
cana-3715	172	27	,	,	PUNCT
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cana-3715	172	43	,	,	PUNCT
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cana-3715	172	45	.	.	PUNCT
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cana-3715	175	5	,	,	PUNCT
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cana-3715	175	9	.	.	PUNCT
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cana-3715	177	31	imaging	imaging	NOUN
cana-3715	177	32	,	,	PUNCT
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cana-3715	177	42	.	.	PUNCT
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cana-3715	178	4	,	,	PUNCT
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cana-3715	178	6	.	.	PUNCT
cana-3715	179	1	doi	doi	NOUN
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cana-3715	180	41	,	,	PUNCT
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cana-3715	180	43	.	.	PUNCT
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cana-3715	184	2	,	,	PUNCT
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cana-3715	184	4	.	.	PUNCT
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cana-3715	192	32	disease	disease	NOUN
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cana-3715	192	34	,	,	PUNCT
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cana-3715	192	47	(	(	PUNCT
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cana-3715	192	49	2023	2023	NUM
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cana-3715	192	51	,	,	PUNCT
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cana-3715	195	42	.	.	PUNCT
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cana-3715	197	41	.	.	PUNCT
cana-3715	197	42	80347–80356	80347–80356	NUM
cana-3715	197	43	,	,	PUNCT
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cana-3715	197	45	.	.	PUNCT
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cana-3715	212	1	9	9	NUM
cana-3715	212	2	,	,	PUNCT
cana-3715	212	3	pp	pp	ADJ
cana-3715	212	4	.	.	PUNCT
cana-3715	213	1	119124	119124	NUM
cana-3715	213	2	–	–	PUNCT
cana-3715	213	3	119134	119134	NUM
cana-3715	213	4	,	,	PUNCT
cana-3715	213	5	2021	2021	NUM
cana-3715	213	6	.	.	PUNCT
cana-3715	214	1	doi	doi	NOUN
cana-3715	214	2	:	:	PUNCT
cana-3715	214	3	10.1109	10.1109	NUM
cana-3715	214	4	/	/	SYM
cana-3715	214	5	access.2021.3108461	access.2021.3108461	NOUN
cana-3715	214	6	.	.	PUNCT
cana-3715	215	1	[	[	X
cana-3715	215	2	20	20	NUM
cana-3715	215	3	]	]	PUNCT
cana-3715	215	4	m.	m.	NOUN
cana-3715	215	5	kim	kim	PROPN
cana-3715	215	6	,	,	PUNCT
cana-3715	215	7	j.	j.	PROPN
cana-3715	215	8	lee	lee	PROPN
cana-3715	215	9	,	,	PUNCT
cana-3715	215	10	and	and	CCONJ
cana-3715	215	11	w.	w.	NOUN
cana-3715	215	12	choi	choi	PROPN
cana-3715	215	13	,	,	PUNCT
cana-3715	215	14	”	"	PUNCT
cana-3715	215	15	attention	attention	NOUN
cana-3715	215	16	-	-	PUNCT
cana-3715	215	17	augmented	augment	VERB
cana-3715	215	18	cnn	cnn	NOUN
cana-3715	215	19	for	for	ADP
cana-3715	215	20	efficient	efficient	ADJ
cana-3715	215	21	detection	detection	NOUN
cana-3715	215	22	of	of	ADP
cana-3715	215	23	gastrointestinal	gastrointestinal	ADJ
cana-3715	215	24	abnormalities	abnormality	NOUN
cana-3715	215	25	in	in	ADP
cana-3715	215	26	capsule	capsule	ADJ
cana-3715	215	27	endoscopy	endoscopy	NOUN
cana-3715	215	28	,	,	PUNCT
cana-3715	215	29	”	"	PUNCT
cana-3715	215	30	ieee	ieee	NOUN
cana-3715	215	31	transactions	transaction	NOUN
cana-3715	215	32	on	on	ADP
cana-3715	215	33	medical	medical	ADJ
cana-3715	215	34	imaging	imaging	NOUN
cana-3715	215	35	,	,	PUNCT
cana-3715	215	36	vol	vol	NOUN
cana-3715	215	37	.	.	PROPN
cana-3715	215	38	41	41	NUM
cana-3715	215	39	,	,	PUNCT
cana-3715	215	40	no	no	INTJ
cana-3715	215	41	.	.	NOUN
cana-3715	215	42	1	1	NUM
cana-3715	215	43	,	,	PUNCT
cana-3715	215	44	pp	pp	ADJ
cana-3715	215	45	.	.	PUNCT
cana-3715	216	1	135	135	NUM
cana-3715	216	2	–	–	SYM
cana-3715	216	3	145	145	NUM
cana-3715	216	4	,	,	PUNCT
cana-3715	216	5	jan	jan	PROPN
cana-3715	216	6	.	.	PROPN
cana-3715	216	7	2022	2022	NUM
cana-3715	216	8	.	.	PUNCT
cana-3715	217	1	doi	doi	NOUN
cana-3715	217	2	:	:	PUNCT
cana-3715	217	3	10.1109	10.1109	NUM
cana-3715	217	4	/	/	SYM
cana-3715	217	5	tmi.2021.3132162	tmi.2021.3132162	NOUN
cana-3715	217	6	.	.	PUNCT
cana-3715	218	1	[	[	X
cana-3715	218	2	21	21	NUM
cana-3715	218	3	]	]	X
cana-3715	218	4	y.	y.	PROPN
cana-3715	218	5	zhou	zhou	PROPN
cana-3715	218	6	,	,	PUNCT
cana-3715	218	7	r.	r.	PROPN
cana-3715	218	8	peng	peng	PROPN
cana-3715	218	9	,	,	PUNCT
cana-3715	218	10	and	and	CCONJ
cana-3715	218	11	j.	j.	PROPN
cana-3715	218	12	zhao	zhao	PROPN
cana-3715	218	13	,	,	PUNCT
cana-3715	218	14	”	"	PUNCT
cana-3715	218	15	utilizing	utilize	VERB
cana-3715	218	16	swin	swin	PROPN
cana-3715	218	17	transformer	transformer	NOUN
cana-3715	218	18	architecture	architecture	NOUN
cana-3715	218	19	for	for	ADP
cana-3715	218	20	the	the	DET
cana-3715	218	21	early	early	ADJ
cana-3715	218	22	detection	detection	NOUN
cana-3715	218	23	of	of	ADP
cana-3715	218	24	colorectal	colorectal	ADJ
cana-3715	218	25	polyps	polyp	NOUN
cana-3715	218	26	,	,	PUNCT
cana-3715	218	27	”	"	PUNCT
cana-3715	218	28	ieee	ieee	NOUN
cana-3715	218	29	access	access	NOUN
cana-3715	218	30	,	,	PUNCT
cana-3715	218	31	vol	vol	NOUN
cana-3715	218	32	.	.	PROPN
cana-3715	218	33	10	10	NUM
cana-3715	218	34	,	,	PUNCT
cana-3715	218	35	pp	pp	ADJ
cana-3715	218	36	.	.	PUNCT
cana-3715	218	37	42574–42585	42574–42585	NUM
cana-3715	218	38	,	,	PUNCT
cana-3715	218	39	2022	2022	NUM
cana-3715	218	40	.	.	PUNCT
cana-3715	219	1	doi	doi	NOUN
cana-3715	219	2	:	:	PUNCT
cana-3715	219	3	10.1109	10.1109	NUM
cana-3715	219	4	/	/	SYM
cana-3715	219	5	access.2022.3171846	access.2022.3171846	NOUN
cana-3715	219	6	.	.	PUNCT
cana-3715	220	1	[	[	X
cana-3715	220	2	22	22	NUM
cana-3715	220	3	]	]	X
cana-3715	220	4	f.	f.	PROPN
cana-3715	220	5	yu	yu	PROPN
cana-3715	220	6	,	,	PUNCT
cana-3715	220	7	z.	z.	PROPN
cana-3715	220	8	zheng	zheng	PROPN
cana-3715	220	9	,	,	PUNCT
cana-3715	220	10	h.	h.	PROPN
cana-3715	220	11	yang	yang	PROPN
cana-3715	220	12	,	,	PUNCT
cana-3715	220	13	and	and	CCONJ
cana-3715	220	14	q.	q.	PROPN
cana-3715	220	15	chen	chen	PROPN
cana-3715	220	16	,	,	PUNCT
cana-3715	220	17	”	"	PUNCT
cana-3715	220	18	ai	ai	VERB
cana-3715	220	19	in	in	ADP
cana-3715	220	20	endoscopic	endoscopic	ADJ
cana-3715	220	21	diagnostics	diagnostic	NOUN
cana-3715	220	22	:	:	PUNCT
cana-3715	220	23	an	an	DET
cana-3715	220	24	efficientnetv2	efficientnetv2	NOUN
cana-3715	220	25	approach	approach	NOUN
cana-3715	220	26	for	for	ADP
cana-3715	220	27	enhanced	enhanced	ADJ
cana-3715	220	28	disease	disease	NOUN
cana-3715	220	29	identification	identification	NOUN
cana-3715	220	30	,	,	PUNCT
cana-3715	220	31	”	"	PUNCT
cana-3715	220	32	ieee	ieee	NOUN
cana-3715	220	33	access	access	NOUN
cana-3715	220	34	,	,	PUNCT
cana-3715	220	35	vol	vol	NOUN
cana-3715	220	36	.	.	PROPN
cana-3715	220	37	10	10	NUM
cana-3715	220	38	,	,	PUNCT
cana-3715	220	39	pp	pp	ADJ
cana-3715	220	40	.	.	PUNCT
cana-3715	221	1	33542–33553	33542–33553	NUM
cana-3715	221	2	,	,	PUNCT
cana-3715	221	3	2022	2022	NUM
cana-3715	221	4	.	.	PUNCT
cana-3715	222	1	doi	doi	NOUN
cana-3715	222	2	:	:	PUNCT
cana-3715	222	3	10.1109	10.1109	NUM
cana-3715	222	4	/	/	SYM
cana-3715	222	5	access.2022.3168643	access.2022.3168643	NOUN
cana-3715	222	6	.	.	PUNCT