id	sid	tid	token	lemma	pos
cana-4881	1	1	communications	communication	NOUN
cana-4881	1	2	on	on	ADP
cana-4881	1	3	applied	apply	VERB
cana-4881	1	4	nonlinear	nonlinear	ADJ
cana-4881	1	5	analysis	analysis	NOUN
cana-4881	1	6	issn	issn	NOUN
cana-4881	1	7	:	:	PUNCT
cana-4881	1	8	1074	1074	NUM
cana-4881	1	9	-	-	PUNCT
cana-4881	1	10	133x	133x	NUM
cana-4881	1	11	vol	vol	VERB
cana-4881	1	12	32	32	NUM
cana-4881	1	13	no	no	NOUN
cana-4881	1	14	.	.	PUNCT
cana-4881	2	1	10s	10	NOUN
cana-4881	2	2	(	(	PUNCT
cana-4881	2	3	2025	2025	NUM
cana-4881	2	4	)	)	PUNCT
cana-4881	2	5	853	853	NUM
cana-4881	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4881	2	7	diabetic	diabetic	ADJ
cana-4881	2	8	retinopathy	retinopathy	ADJ
cana-4881	2	9	deep	deep	ADJ
cana-4881	2	10	learning	learning	NOUN
cana-4881	2	11	model	model	NOUN
cana-4881	2	12	for	for	ADP
cana-4881	2	13	image	image	NOUN
cana-4881	2	14	class	class	NOUN
cana-4881	2	15	prediction	prediction	NOUN
cana-4881	2	16	by	by	ADP
cana-4881	2	17	modified	modify	VERB
cana-4881	2	18	frog	frog	NOUN
cana-4881	2	19	leaping	leaping	NOUN
cana-4881	2	20	optimized	optimize	VERB
cana-4881	2	21	features	feature	NOUN
cana-4881	2	22	prasannta	prasannta	ADJ
cana-4881	2	23	tiwari1	tiwari1	PROPN
cana-4881	2	24	phd	phd	NOUN
cana-4881	2	25	scholar	scholar	NOUN
cana-4881	2	26	,	,	PUNCT
cana-4881	2	27	dr	dr	PROPN
cana-4881	2	28	.	.	PROPN
cana-4881	2	29	pritaj	pritaj	PROPN
cana-4881	2	30	yadav2	yadav2	PROPN
cana-4881	2	31	,	,	PUNCT
cana-4881	2	32	associate	associate	NOUN
cana-4881	2	33	professor	professor	NOUN
cana-4881	2	34	,	,	PUNCT
cana-4881	2	35	deptt	deptt	ADJ
cana-4881	2	36	.	.	PUNCT
cana-4881	3	1	of	of	ADP
cana-4881	3	2	cse	cse	PROPN
cana-4881	3	3	,	,	PUNCT
cana-4881	3	4	rntu	rntu	NOUN
cana-4881	3	5	,	,	PUNCT
cana-4881	3	6	bhopal	bhopal	PROPN
cana-4881	3	7	mp	mp	PROPN
cana-4881	3	8	,	,	PUNCT
cana-4881	3	9	india	india	PROPN
cana-4881	3	10	,	,	PUNCT
cana-4881	3	11	1prasanntakaur@gmail.com	1prasanntakaur@gmail.com	NUM
cana-4881	3	12	,	,	PUNCT
cana-4881	3	13	2yadavpritaj@gmail.com	2yadavpritaj@gmail.com	NUM
cana-4881	3	14	article	article	NOUN
cana-4881	3	15	history	history	NOUN
cana-4881	3	16	:	:	PUNCT
cana-4881	3	17	received	receive	VERB
cana-4881	3	18	:	:	PUNCT
cana-4881	3	19	12	12	NUM
cana-4881	3	20	-	-	SYM
cana-4881	3	21	01	01	NUM
cana-4881	3	22	-	-	PUNCT
cana-4881	3	23	2025	2025	NUM
cana-4881	3	24	revised	revise	VERB
cana-4881	3	25	:	:	PUNCT
cana-4881	3	26	15	15	NUM
cana-4881	3	27	-	-	NUM
cana-4881	3	28	02	02	NUM
cana-4881	3	29	-	-	PUNCT
cana-4881	3	30	2025	2025	NUM
cana-4881	3	31	accepted	accept	VERB
cana-4881	3	32	:	:	PUNCT
cana-4881	3	33	01	01	NUM
cana-4881	3	34	-	-	SYM
cana-4881	3	35	03	03	NUM
cana-4881	3	36	-	-	PUNCT
cana-4881	3	37	2025	2025	NUM
cana-4881	3	38	abstract	abstract	NOUN
cana-4881	3	39	:	:	PUNCT
cana-4881	3	40	the	the	DET
cana-4881	3	41	healthcare	healthcare	NOUN
cana-4881	3	42	sector	sector	NOUN
cana-4881	3	43	greatly	greatly	ADV
cana-4881	3	44	benefits	benefit	VERB
cana-4881	3	45	from	from	ADP
cana-4881	3	46	image	image	NOUN
cana-4881	3	47	classification	classification	NOUN
cana-4881	3	48	,	,	PUNCT
cana-4881	3	49	which	which	PRON
cana-4881	3	50	holds	hold	VERB
cana-4881	3	51	immense	immense	ADJ
cana-4881	3	52	value	value	NOUN
cana-4881	3	53	in	in	ADP
cana-4881	3	54	medical	medical	ADJ
cana-4881	3	55	diagnostics	diagnostic	NOUN
cana-4881	3	56	.	.	PUNCT
cana-4881	4	1	one	one	NUM
cana-4881	4	2	of	of	ADP
cana-4881	4	3	the	the	DET
cana-4881	4	4	critical	critical	ADJ
cana-4881	4	5	health	health	NOUN
cana-4881	4	6	concerns	concern	NOUN
cana-4881	4	7	identified	identify	VERB
cana-4881	4	8	by	by	ADP
cana-4881	4	9	the	the	PRON
cana-4881	4	10	who	who	PRON
cana-4881	4	11	is	be	AUX
cana-4881	4	12	diabetic	diabetic	ADJ
cana-4881	4	13	retinopathy	retinopathy	ADJ
cana-4881	4	14	(	(	PUNCT
cana-4881	4	15	dr	dr	PROPN
cana-4881	4	16	)	)	PUNCT
cana-4881	4	17	,	,	PUNCT
cana-4881	4	18	a	a	DET
cana-4881	4	19	widespread	widespread	ADJ
cana-4881	4	20	condition	condition	NOUN
cana-4881	4	21	that	that	PRON
cana-4881	4	22	poses	pose	VERB
cana-4881	4	23	a	a	DET
cana-4881	4	24	serious	serious	ADJ
cana-4881	4	25	threat	threat	NOUN
cana-4881	4	26	to	to	ADP
cana-4881	4	27	vision	vision	NOUN
cana-4881	4	28	and	and	CCONJ
cana-4881	4	29	has	have	AUX
cana-4881	4	30	reached	reach	VERB
cana-4881	4	31	epidemic	epidemic	NOUN
cana-4881	4	32	proportions	proportion	NOUN
cana-4881	4	33	worldwide	worldwide	ADV
cana-4881	4	34	.	.	PUNCT
cana-4881	5	1	this	this	DET
cana-4881	5	2	paper	paper	NOUN
cana-4881	5	3	has	have	AUX
cana-4881	5	4	proposed	propose	VERB
cana-4881	5	5	a	a	DET
cana-4881	5	6	drdloflm	drdloflm	NOUN
cana-4881	5	7	(	(	PUNCT
cana-4881	5	8	diabetic	diabetic	ADJ
cana-4881	5	9	retinopathy	retinopathy	ADJ
cana-4881	5	10	deep	deep	ADJ
cana-4881	5	11	learning	learning	NOUN
cana-4881	5	12	optimized	optimize	VERB
cana-4881	5	13	frog	frog	NOUN
cana-4881	5	14	leaping	leap	VERB
cana-4881	5	15	model	model	NOUN
cana-4881	5	16	)	)	PUNCT
cana-4881	5	17	model	model	NOUN
cana-4881	5	18	that	that	PRON
cana-4881	5	19	predicts	predict	VERB
cana-4881	5	20	the	the	DET
cana-4881	5	21	class	class	NOUN
cana-4881	5	22	of	of	ADP
cana-4881	5	23	the	the	DET
cana-4881	5	24	dr	dr	PROPN
cana-4881	5	25	disease	disease	PROPN
cana-4881	5	26	.	.	PUNCT
cana-4881	6	1	for	for	ADP
cana-4881	6	2	training	training	NOUN
cana-4881	6	3	of	of	ADP
cana-4881	6	4	machine	machine	NOUN
cana-4881	6	5	visual	visual	ADJ
cana-4881	6	6	content	content	NOUN
cana-4881	6	7	features	feature	NOUN
cana-4881	6	8	are	be	AUX
cana-4881	6	9	extracted	extract	VERB
cana-4881	6	10	from	from	ADP
cana-4881	6	11	the	the	DET
cana-4881	6	12	image	image	NOUN
cana-4881	6	13	.	.	PUNCT
cana-4881	7	1	selected	select	VERB
cana-4881	7	2	features	feature	NOUN
cana-4881	7	3	are	be	AUX
cana-4881	7	4	extract	extract	NOUN
cana-4881	7	5	from	from	ADP
cana-4881	7	6	the	the	DET
cana-4881	7	7	blocked	block	VERB
cana-4881	7	8	image	image	NOUN
cana-4881	7	9	so	so	SCONJ
cana-4881	7	10	cumulative	cumulative	ADJ
cana-4881	7	11	prediction	prediction	NOUN
cana-4881	7	12	gives	give	VERB
cana-4881	7	13	better	well	ADJ
cana-4881	7	14	output	output	NOUN
cana-4881	7	15	of	of	ADP
cana-4881	7	16	image	image	NOUN
cana-4881	7	17	diagnosis	diagnosis	NOUN
cana-4881	7	18	.	.	PUNCT
cana-4881	8	1	block	block	NOUN
cana-4881	8	2	region	region	NOUN
cana-4881	8	3	were	be	AUX
cana-4881	8	4	selected	select	VERB
cana-4881	8	5	by	by	ADP
cana-4881	8	6	the	the	DET
cana-4881	8	7	frog	frog	ADJ
cana-4881	8	8	leaping	leap	VERB
cana-4881	8	9	algorithm	algorithm	NOUN
cana-4881	8	10	for	for	ADP
cana-4881	8	11	the	the	DET
cana-4881	8	12	optimization	optimization	NOUN
cana-4881	8	13	of	of	ADP
cana-4881	8	14	features	feature	NOUN
cana-4881	8	15	.	.	PUNCT
cana-4881	9	1	experiment	experiment	NOUN
cana-4881	9	2	is	be	AUX
cana-4881	9	3	perform	perform	VERB
cana-4881	9	4	on	on	ADP
cana-4881	9	5	read	read	VERB
cana-4881	9	6	medical	medical	ADJ
cana-4881	9	7	images	image	NOUN
cana-4881	9	8	of	of	ADP
cana-4881	9	9	dr	dr	PROPN
cana-4881	9	10	images	image	NOUN
cana-4881	9	11	.	.	PUNCT
cana-4881	10	1	results	result	NOUN
cana-4881	10	2	shows	show	VERB
cana-4881	10	3	that	that	SCONJ
cana-4881	10	4	proposed	propose	VERB
cana-4881	10	5	drdloflm	drdloflm	NOUN
cana-4881	10	6	(	(	PUNCT
cana-4881	10	7	diabetic	diabetic	ADJ
cana-4881	10	8	retinopathy	retinopathy	ADJ
cana-4881	10	9	deep	deep	ADJ
cana-4881	10	10	learning	learning	NOUN
cana-4881	10	11	optimized	optimize	VERB
cana-4881	10	12	frog	frog	NOUN
cana-4881	10	13	leaping	leap	VERB
cana-4881	10	14	model	model	NOUN
cana-4881	10	15	)	)	PUNCT
cana-4881	10	16	has	have	AUX
cana-4881	10	17	improved	improve	VERB
cana-4881	10	18	the	the	DET
cana-4881	10	19	evaluation	evaluation	NOUN
cana-4881	10	20	parameters	parameter	NOUN
cana-4881	10	21	values	value	NOUN
cana-4881	10	22	.	.	PUNCT
cana-4881	11	1	index	index	NOUN
cana-4881	11	2	terms	term	NOUN
cana-4881	11	3	:	:	PUNCT
cana-4881	11	4	medical	medical	ADJ
cana-4881	11	5	image	image	NOUN
cana-4881	11	6	diagnosis	diagnosis	NOUN
cana-4881	11	7	,	,	PUNCT
cana-4881	11	8	frequency	frequency	NOUN
cana-4881	11	9	feature	feature	NOUN
cana-4881	11	10	,	,	PUNCT
cana-4881	11	11	clustering	clustering	NOUN
cana-4881	11	12	,	,	PUNCT
cana-4881	11	13	dip	dip	NOUN
cana-4881	11	14	.	.	PUNCT
cana-4881	11	15	i.	i.	PROPN
cana-4881	11	16	introduction	introduction	NOUN
cana-4881	11	17	in	in	ADP
cana-4881	11	18	the	the	DET
cana-4881	11	19	medical	medical	ADJ
cana-4881	11	20	domain	domain	NOUN
cana-4881	11	21	,	,	PUNCT
cana-4881	11	22	the	the	DET
cana-4881	11	23	effectiveness	effectiveness	NOUN
cana-4881	11	24	of	of	ADP
cana-4881	11	25	disease	disease	NOUN
cana-4881	11	26	treatment	treatment	NOUN
cana-4881	11	27	significantly	significantly	ADV
cana-4881	11	28	improves	improve	VERB
cana-4881	11	29	when	when	SCONJ
cana-4881	11	30	conditions	condition	NOUN
cana-4881	11	31	are	be	AUX
cana-4881	11	32	identified	identify	VERB
cana-4881	11	33	at	at	ADP
cana-4881	11	34	an	an	DET
cana-4881	11	35	early	early	ADJ
cana-4881	11	36	stage	stage	NOUN
cana-4881	11	37	.	.	PUNCT
cana-4881	12	1	diabetes	diabetes	NOUN
cana-4881	12	2	,	,	PUNCT
cana-4881	12	3	a	a	DET
cana-4881	12	4	metabolic	metabolic	NOUN
cana-4881	12	5	disorder	disorder	NOUN
cana-4881	12	6	,	,	PUNCT
cana-4881	12	7	leads	lead	VERB
cana-4881	12	8	to	to	ADP
cana-4881	12	9	an	an	DET
cana-4881	12	10	excessive	excessive	ADJ
cana-4881	12	11	accumulation	accumulation	NOUN
cana-4881	12	12	of	of	ADP
cana-4881	12	13	glucose	glucose	NOUN
cana-4881	12	14	in	in	ADP
cana-4881	12	15	the	the	DET
cana-4881	12	16	bloodstream	bloodstream	NOUN
cana-4881	12	17	due	due	ADP
cana-4881	12	18	to	to	ADP
cana-4881	12	19	insufficient	insufficient	ADJ
cana-4881	12	20	insulin	insulin	NOUN
cana-4881	12	21	production	production	NOUN
cana-4881	12	22	[	[	X
cana-4881	12	23	1	1	NUM
cana-4881	12	24	]	]	PUNCT
cana-4881	12	25	.	.	PUNCT
cana-4881	13	1	this	this	DET
cana-4881	13	2	condition	condition	NOUN
cana-4881	13	3	affects	affect	VERB
cana-4881	13	4	approximately	approximately	ADV
cana-4881	13	5	425	425	NUM
cana-4881	13	6	million	million	NUM
cana-4881	13	7	adults	adult	NOUN
cana-4881	13	8	worldwide	worldwide	ADV
cana-4881	13	9	[	[	X
cana-4881	13	10	2	2	NUM
cana-4881	13	11	]	]	PUNCT
cana-4881	13	12	and	and	CCONJ
cana-4881	13	13	has	have	VERB
cana-4881	13	14	serious	serious	ADJ
cana-4881	13	15	implications	implication	NOUN
cana-4881	13	16	for	for	ADP
cana-4881	13	17	multiple	multiple	ADJ
cana-4881	13	18	organs	organ	NOUN
cana-4881	13	19	,	,	PUNCT
cana-4881	13	20	including	include	VERB
cana-4881	13	21	the	the	DET
cana-4881	13	22	retina	retina	NOUN
cana-4881	13	23	,	,	PUNCT
cana-4881	13	24	heart	heart	NOUN
cana-4881	13	25	,	,	PUNCT
cana-4881	13	26	nerves	nerve	NOUN
cana-4881	13	27	,	,	PUNCT
cana-4881	13	28	and	and	CCONJ
cana-4881	13	29	kidneys	kidney	NOUN
cana-4881	14	1	[	[	X
cana-4881	14	2	1,2	1,2	NUM
cana-4881	14	3	]	]	PUNCT
cana-4881	14	4	.	.	PUNCT
cana-4881	15	1	diabetic	diabetic	ADJ
cana-4881	15	2	retinopathy	retinopathy	ADJ
cana-4881	15	3	(	(	PUNCT
cana-4881	15	4	dr	dr	PROPN
cana-4881	15	5	)	)	PUNCT
cana-4881	15	6	is	be	AUX
cana-4881	15	7	one	one	NUM
cana-4881	15	8	of	of	ADP
cana-4881	15	9	the	the	DET
cana-4881	15	10	most	most	ADV
cana-4881	15	11	prevalent	prevalent	ADJ
cana-4881	15	12	retinal	retinal	ADJ
cana-4881	15	13	diseases	disease	NOUN
cana-4881	15	14	associated	associate	VERB
cana-4881	15	15	with	with	ADP
cana-4881	15	16	diabetes	diabetes	NOUN
cana-4881	15	17	.	.	PUNCT
cana-4881	16	1	its	its	PRON
cana-4881	16	2	early	early	ADJ
cana-4881	16	3	symptoms	symptom	NOUN
cana-4881	16	4	often	often	ADV
cana-4881	16	5	include	include	VERB
cana-4881	16	6	blurred	blurred	ADJ
cana-4881	16	7	vision	vision	NOUN
cana-4881	16	8	and	and	CCONJ
cana-4881	16	9	eye	eye	NOUN
cana-4881	16	10	floaters	floater	NOUN
cana-4881	16	11	,	,	PUNCT
cana-4881	16	12	while	while	SCONJ
cana-4881	16	13	prolonged	prolonged	ADJ
cana-4881	16	14	and	and	CCONJ
cana-4881	16	15	untreated	untreated	ADJ
cana-4881	16	16	progression	progression	NOUN
cana-4881	16	17	can	can	AUX
cana-4881	16	18	result	result	VERB
cana-4881	16	19	in	in	ADP
cana-4881	16	20	complete	complete	ADJ
cana-4881	16	21	vision	vision	NOUN
cana-4881	16	22	loss	loss	NOUN
cana-4881	16	23	.	.	PUNCT
cana-4881	17	1	the	the	DET
cana-4881	17	2	disease	disease	NOUN
cana-4881	17	3	manifests	manifest	VERB
cana-4881	17	4	through	through	ADP
cana-4881	17	5	various	various	ADJ
cana-4881	17	6	retinal	retinal	ADJ
cana-4881	17	7	lesions	lesion	NOUN
cana-4881	17	8	,	,	PUNCT
cana-4881	17	9	such	such	ADJ
cana-4881	17	10	as	as	ADP
cana-4881	17	11	hemorrhages	hemorrhage	NOUN
cana-4881	17	12	(	(	PUNCT
cana-4881	17	13	hm	hm	INTJ
cana-4881	17	14	)	)	PUNCT
cana-4881	17	15	,	,	PUNCT
cana-4881	17	16	microaneurysms	microaneurysm	NOUN
cana-4881	17	17	(	(	PUNCT
cana-4881	17	18	ma	ma	PROPN
cana-4881	17	19	)	)	PUNCT
cana-4881	17	20	,	,	PUNCT
cana-4881	17	21	hard	hard	ADJ
cana-4881	17	22	exudates	exudate	NOUN
cana-4881	17	23	,	,	PUNCT
cana-4881	17	24	and	and	CCONJ
cana-4881	17	25	soft	soft	ADJ
cana-4881	17	26	exudates	exudate	NOUN
cana-4881	17	27	[	[	X
cana-4881	17	28	3	3	NUM
cana-4881	17	29	]	]	PUNCT
cana-4881	17	30	.	.	PUNCT
cana-4881	18	1	many	many	ADJ
cana-4881	18	2	individuals	individual	NOUN
cana-4881	18	3	fail	fail	VERB
cana-4881	18	4	to	to	PART
cana-4881	18	5	recognize	recognize	VERB
cana-4881	18	6	the	the	DET
cana-4881	18	7	early	early	ADJ
cana-4881	18	8	warning	warning	NOUN
cana-4881	18	9	signs	sign	NOUN
cana-4881	18	10	of	of	ADP
cana-4881	18	11	dr	dr	PROPN
cana-4881	18	12	,	,	PUNCT
cana-4881	18	13	leading	lead	VERB
cana-4881	18	14	to	to	ADP
cana-4881	18	15	delayed	delay	VERB
cana-4881	18	16	diagnosis	diagnosis	NOUN
cana-4881	18	17	and	and	CCONJ
cana-4881	18	18	an	an	DET
cana-4881	18	19	increased	increase	VERB
cana-4881	18	20	risk	risk	NOUN
cana-4881	18	21	of	of	ADP
cana-4881	18	22	vision	vision	NOUN
cana-4881	18	23	impairment	impairment	NOUN
cana-4881	18	24	.	.	PUNCT
cana-4881	19	1	early	early	ADJ
cana-4881	19	2	detection	detection	NOUN
cana-4881	19	3	is	be	AUX
cana-4881	19	4	essential	essential	ADJ
cana-4881	19	5	for	for	ADP
cana-4881	19	6	preserving	preserve	VERB
cana-4881	19	7	eyesight	eyesight	NOUN
cana-4881	19	8	,	,	PUNCT
cana-4881	19	9	as	as	SCONJ
cana-4881	19	10	timely	timely	ADJ
cana-4881	19	11	intervention	intervention	NOUN
cana-4881	19	12	allows	allow	VERB
cana-4881	19	13	for	for	ADP
cana-4881	19	14	more	more	ADV
cana-4881	19	15	effective	effective	ADJ
cana-4881	19	16	treatment	treatment	NOUN
cana-4881	19	17	.	.	PUNCT
cana-4881	20	1	traditional	traditional	ADJ
cana-4881	20	2	automated	automate	VERB
cana-4881	20	3	dr	dr	PROPN
cana-4881	20	4	detection	detection	NOUN
cana-4881	20	5	systems	system	NOUN
cana-4881	20	6	follow	follow	VERB
cana-4881	20	7	a	a	DET
cana-4881	20	8	multi	multi	ADJ
cana-4881	20	9	-	-	ADJ
cana-4881	20	10	stage	stage	ADJ
cana-4881	20	11	process	process	NOUN
cana-4881	20	12	,	,	PUNCT
cana-4881	20	13	beginning	begin	VERB
cana-4881	20	14	with	with	ADP
cana-4881	20	15	fundus	fundus	NOUN
cana-4881	20	16	image	image	NOUN
cana-4881	20	17	analysis	analysis	NOUN
cana-4881	20	18	to	to	PART
cana-4881	20	19	detect	detect	VERB
cana-4881	20	20	and	and	CCONJ
cana-4881	20	21	classify	classify	VERB
cana-4881	20	22	lesions	lesion	NOUN
cana-4881	20	23	.	.	PUNCT
cana-4881	21	1	compared	compare	VERB
cana-4881	21	2	to	to	ADP
cana-4881	21	3	manual	manual	ADJ
cana-4881	21	4	diagnosis	diagnosis	NOUN
cana-4881	21	5	,	,	PUNCT
cana-4881	21	6	automated	automate	VERB
cana-4881	21	7	methods	method	NOUN
cana-4881	21	8	offer	offer	VERB
cana-4881	21	9	greater	great	ADJ
cana-4881	21	10	efficiency	efficiency	NOUN
cana-4881	21	11	,	,	PUNCT
cana-4881	21	12	reduce	reduce	VERB
cana-4881	21	13	costs	cost	NOUN
cana-4881	21	14	,	,	PUNCT
cana-4881	21	15	and	and	CCONJ
cana-4881	21	16	save	save	VERB
cana-4881	21	17	time	time	NOUN
cana-4881	21	18	[	[	X
cana-4881	21	19	4	4	NUM
cana-4881	21	20	]	]	PUNCT
cana-4881	21	21	.	.	PUNCT
cana-4881	22	1	manual	manual	ADJ
cana-4881	22	2	assessments	assessment	NOUN
cana-4881	22	3	,	,	PUNCT
cana-4881	22	4	on	on	ADP
cana-4881	22	5	the	the	DET
cana-4881	22	6	other	other	ADJ
cana-4881	22	7	hand	hand	NOUN
cana-4881	22	8	,	,	PUNCT
cana-4881	22	9	are	be	AUX
cana-4881	22	10	labor	labor	NOUN
cana-4881	22	11	-	-	PUNCT
cana-4881	22	12	intensive	intensive	ADJ
cana-4881	22	13	and	and	CCONJ
cana-4881	22	14	susceptible	susceptible	ADJ
cana-4881	22	15	to	to	ADP
cana-4881	22	16	misdiagnosis	misdiagnosis	NOUN
cana-4881	22	17	.	.	PUNCT
cana-4881	23	1	to	to	PART
cana-4881	23	2	enhance	enhance	VERB
cana-4881	23	3	accuracy	accuracy	NOUN
cana-4881	23	4	and	and	CCONJ
cana-4881	23	5	efficiency	efficiency	NOUN
cana-4881	23	6	,	,	PUNCT
cana-4881	23	7	machine	machine	NOUN
cana-4881	23	8	learning	learning	NOUN
cana-4881	23	9	techniques	technique	NOUN
cana-4881	23	10	(	(	PUNCT
cana-4881	23	11	mlt	mlt	PROPN
cana-4881	23	12	)	)	PUNCT
cana-4881	23	13	have	have	AUX
cana-4881	23	14	been	be	AUX
cana-4881	23	15	incorporated	incorporate	VERB
cana-4881	23	16	into	into	ADP
cana-4881	23	17	automated	automate	VERB
cana-4881	23	18	dr	dr	PROPN
cana-4881	23	19	detection	detection	NOUN
cana-4881	23	20	systems	system	NOUN
cana-4881	23	21	.	.	PUNCT
cana-4881	24	1	communications	communication	NOUN
cana-4881	24	2	on	on	ADP
cana-4881	24	3	applied	apply	VERB
cana-4881	24	4	nonlinear	nonlinear	ADJ
cana-4881	24	5	analysis	analysis	NOUN
cana-4881	24	6	issn	issn	NOUN
cana-4881	24	7	:	:	PUNCT
cana-4881	24	8	1074	1074	NUM
cana-4881	24	9	-	-	PUNCT
cana-4881	24	10	133x	133x	NUM
cana-4881	24	11	vol	vol	VERB
cana-4881	24	12	32	32	NUM
cana-4881	24	13	no	no	NOUN
cana-4881	24	14	.	.	PUNCT
cana-4881	25	1	10s	10	NOUN
cana-4881	25	2	(	(	PUNCT
cana-4881	25	3	2025	2025	NUM
cana-4881	25	4	)	)	PUNCT
cana-4881	25	5	854	854	NUM
cana-4881	25	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4881	25	7	this	this	DET
cana-4881	25	8	study	study	NOUN
cana-4881	25	9	observes	observe	VERB
cana-4881	25	10	that	that	SCONJ
cana-4881	25	11	a	a	DET
cana-4881	25	12	majority	majority	NOUN
cana-4881	25	13	of	of	ADP
cana-4881	25	14	existing	exist	VERB
cana-4881	25	15	research	research	NOUN
cana-4881	25	16	has	have	AUX
cana-4881	25	17	primarily	primarily	ADV
cana-4881	25	18	focused	focus	VERB
cana-4881	25	19	on	on	ADP
cana-4881	25	20	binary	binary	ADJ
cana-4881	25	21	classification	classification	NOUN
cana-4881	25	22	of	of	ADP
cana-4881	25	23	dr	dr	PROPN
cana-4881	25	24	.	.	PROPN
cana-4881	25	25	furthermore	furthermore	ADV
cana-4881	25	26	,	,	PUNCT
cana-4881	25	27	optimizing	optimize	VERB
cana-4881	25	28	feature	feature	NOUN
cana-4881	25	29	selection	selection	NOUN
cana-4881	25	30	remains	remain	VERB
cana-4881	25	31	a	a	DET
cana-4881	25	32	critical	critical	ADJ
cana-4881	25	33	aspect	aspect	NOUN
cana-4881	25	34	of	of	ADP
cana-4881	25	35	medical	medical	ADJ
cana-4881	25	36	diagnostics	diagnostic	NOUN
cana-4881	25	37	.	.	PUNCT
cana-4881	26	1	to	to	PART
cana-4881	26	2	address	address	VERB
cana-4881	26	3	these	these	DET
cana-4881	26	4	challenges	challenge	NOUN
cana-4881	26	5	,	,	PUNCT
cana-4881	26	6	this	this	DET
cana-4881	26	7	paper	paper	NOUN
cana-4881	26	8	outlines	outline	VERB
cana-4881	26	9	the	the	DET
cana-4881	26	10	following	follow	VERB
cana-4881	26	11	key	key	ADJ
cana-4881	26	12	objectives	objective	NOUN
cana-4881	26	13	1	1	NUM
cana-4881	26	14	.	.	PUNCT
cana-4881	26	15	find	find	VERB
cana-4881	26	16	the	the	DET
cana-4881	26	17	feature	feature	NOUN
cana-4881	26	18	set	set	NOUN
cana-4881	26	19	that	that	PRON
cana-4881	26	20	improves	improve	VERB
cana-4881	26	21	the	the	DET
cana-4881	26	22	detection	detection	NOUN
cana-4881	26	23	accuracy	accuracy	NOUN
cana-4881	26	24	.	.	PUNCT
cana-4881	27	1	2	2	X
cana-4881	27	2	.	.	NUM
cana-4881	27	3	optimized	optimize	VERB
cana-4881	27	4	the	the	DET
cana-4881	27	5	features	feature	NOUN
cana-4881	27	6	for	for	ADP
cana-4881	27	7	supporting	support	VERB
cana-4881	27	8	the	the	DET
cana-4881	27	9	learning	learning	NOUN
cana-4881	27	10	model	model	NOUN
cana-4881	27	11	.	.	PUNCT
cana-4881	28	1	3	3	X
cana-4881	28	2	.	.	X
cana-4881	28	3	train	train	VERB
cana-4881	28	4	a	a	DET
cana-4881	28	5	machine	machine	NOUN
cana-4881	28	6	learning	learn	VERB
cana-4881	28	7	model	model	NOUN
cana-4881	28	8	that	that	PRON
cana-4881	28	9	identifies	identify	VERB
cana-4881	28	10	all	all	DET
cana-4881	28	11	classes	class	NOUN
cana-4881	28	12	of	of	ADP
cana-4881	28	13	dr	dr	PROPN
cana-4881	28	14	class	class	PROPN
cana-4881	28	15	of	of	ADP
cana-4881	28	16	images	image	NOUN
cana-4881	28	17	.	.	PUNCT
cana-4881	29	1	the	the	DET
cana-4881	29	2	remaining	remain	VERB
cana-4881	29	3	parts	part	NOUN
cana-4881	29	4	of	of	ADP
cana-4881	29	5	the	the	DET
cana-4881	29	6	paper	paper	NOUN
cana-4881	29	7	are	be	AUX
cana-4881	29	8	divided	divide	VERB
cana-4881	29	9	up	up	ADP
cana-4881	29	10	into	into	ADP
cana-4881	29	11	a	a	DET
cana-4881	29	12	few	few	ADJ
cana-4881	29	13	sections	section	NOUN
cana-4881	29	14	.	.	PUNCT
cana-4881	30	1	in	in	ADP
cana-4881	30	2	the	the	DET
cana-4881	30	3	second	second	ADJ
cana-4881	30	4	section	section	NOUN
cana-4881	30	5	,	,	PUNCT
cana-4881	30	6	this	this	DET
cana-4881	30	7	paper	paper	NOUN
cana-4881	30	8	will	will	AUX
cana-4881	30	9	elaborate	elaborate	VERB
cana-4881	30	10	on	on	ADP
cana-4881	30	11	the	the	DET
cana-4881	30	12	research	research	NOUN
cana-4881	30	13	work	work	NOUN
cana-4881	30	14	that	that	PRON
cana-4881	30	15	various	various	ADJ
cana-4881	30	16	scholars	scholar	NOUN
cana-4881	30	17	have	have	AUX
cana-4881	30	18	done	do	VERB
cana-4881	30	19	so	so	ADV
cana-4881	30	20	far	far	ADV
cana-4881	30	21	.	.	PUNCT
cana-4881	31	1	additional	additional	ADJ
cana-4881	31	2	research	research	NOUN
cana-4881	31	3	has	have	AUX
cana-4881	31	4	been	be	AUX
cana-4881	31	5	published	publish	VERB
cana-4881	31	6	that	that	SCONJ
cana-4881	31	7	details	detail	VERB
cana-4881	31	8	the	the	DET
cana-4881	31	9	proposed	propose	VERB
cana-4881	31	10	model	model	NOUN
cana-4881	31	11	with	with	ADP
cana-4881	31	12	a	a	DET
cana-4881	31	13	block	block	NOUN
cana-4881	31	14	diagram	diagram	NOUN
cana-4881	31	15	and	and	CCONJ
cana-4881	31	16	algorithm	algorithm	NOUN
cana-4881	31	17	.	.	PUNCT
cana-4881	32	1	in	in	ADP
cana-4881	32	2	the	the	DET
cana-4881	32	3	fourth	fourth	ADJ
cana-4881	32	4	section	section	NOUN
cana-4881	32	5	of	of	ADP
cana-4881	32	6	the	the	DET
cana-4881	32	7	paper	paper	NOUN
cana-4881	32	8	,	,	PUNCT
cana-4881	32	9	a	a	DET
cana-4881	32	10	comparison	comparison	NOUN
cana-4881	32	11	of	of	ADP
cana-4881	32	12	the	the	DET
cana-4881	32	13	proposed	propose	VERB
cana-4881	32	14	model	model	NOUN
cana-4881	32	15	is	be	AUX
cana-4881	32	16	carried	carry	VERB
cana-4881	32	17	out	out	ADP
cana-4881	32	18	on	on	ADP
cana-4881	32	19	a	a	DET
cana-4881	32	20	variety	variety	NOUN
cana-4881	32	21	of	of	ADP
cana-4881	32	22	evaluation	evaluation	NOUN
cana-4881	32	23	parameters	parameter	NOUN
cana-4881	32	24	.	.	PUNCT
cana-4881	33	1	the	the	DET
cana-4881	33	2	conclusion	conclusion	NOUN
cana-4881	33	3	section	section	NOUN
cana-4881	33	4	of	of	ADP
cana-4881	33	5	the	the	DET
cana-4881	33	6	paper	paper	NOUN
cana-4881	33	7	discusses	discuss	VERB
cana-4881	33	8	the	the	DET
cana-4881	33	9	findings	finding	NOUN
cana-4881	33	10	.	.	PUNCT
cana-4881	34	1	ii	ii	PROPN
cana-4881	34	2	.	.	PROPN
cana-4881	34	3	related	relate	VERB
cana-4881	34	4	work	work	NOUN
cana-4881	34	5	gupta	gupta	NOUN
cana-4881	34	6	and	and	CCONJ
cana-4881	34	7	chhikara	chhikara	NOUN
cana-4881	35	1	[	[	X
cana-4881	35	2	7	7	X
cana-4881	35	3	]	]	PUNCT
cana-4881	35	4	conducted	conduct	VERB
cana-4881	35	5	an	an	DET
cana-4881	35	6	in	in	ADP
cana-4881	35	7	-	-	PUNCT
cana-4881	35	8	depth	depth	NOUN
cana-4881	35	9	analysis	analysis	NOUN
cana-4881	35	10	of	of	ADP
cana-4881	35	11	diabetic	diabetic	ADJ
cana-4881	35	12	retinopathy	retinopathy	ADJ
cana-4881	35	13	(	(	PUNCT
cana-4881	35	14	dr	dr	PROPN
cana-4881	35	15	)	)	PUNCT
cana-4881	35	16	detection	detection	NOUN
cana-4881	35	17	methodologies	methodology	NOUN
cana-4881	35	18	,	,	PUNCT
cana-4881	35	19	incorporating	incorporate	VERB
cana-4881	35	20	techniques	technique	NOUN
cana-4881	35	21	such	such	ADJ
cana-4881	35	22	as	as	ADP
cana-4881	35	23	adaboost	adaboost	ADJ
cana-4881	35	24	,	,	PUNCT
cana-4881	35	25	random	random	ADJ
cana-4881	35	26	forest	forest	NOUN
cana-4881	35	27	,	,	PUNCT
cana-4881	35	28	and	and	CCONJ
cana-4881	35	29	support	support	VERB
cana-4881	35	30	vector	vector	NOUN
cana-4881	35	31	machines	machine	NOUN
cana-4881	35	32	(	(	PUNCT
cana-4881	35	33	svm	svm	PROPN
cana-4881	35	34	)	)	PUNCT
cana-4881	35	35	.	.	PUNCT
cana-4881	36	1	their	their	PRON
cana-4881	36	2	study	study	NOUN
cana-4881	36	3	underscores	underscore	VERB
cana-4881	36	4	the	the	DET
cana-4881	36	5	constraints	constraint	NOUN
cana-4881	36	6	of	of	ADP
cana-4881	36	7	these	these	DET
cana-4881	36	8	conventional	conventional	ADJ
cana-4881	36	9	models	model	NOUN
cana-4881	36	10	in	in	ADP
cana-4881	36	11	extracting	extract	VERB
cana-4881	36	12	intricate	intricate	ADJ
cana-4881	36	13	disease	disease	NOUN
cana-4881	36	14	-	-	PUNCT
cana-4881	36	15	related	relate	VERB
cana-4881	36	16	features	feature	NOUN
cana-4881	36	17	.	.	PUNCT
cana-4881	37	1	additionally	additionally	ADV
cana-4881	37	2	,	,	PUNCT
cana-4881	37	3	their	their	PRON
cana-4881	37	4	comparative	comparative	ADJ
cana-4881	37	5	study	study	NOUN
cana-4881	37	6	emphasizes	emphasize	VERB
cana-4881	37	7	the	the	DET
cana-4881	37	8	critical	critical	ADJ
cana-4881	37	9	role	role	NOUN
cana-4881	37	10	of	of	ADP
cana-4881	37	11	fundus	fundus	NOUN
cana-4881	37	12	image	image	NOUN
cana-4881	37	13	quality	quality	NOUN
cana-4881	37	14	,	,	PUNCT
cana-4881	37	15	noting	note	VERB
cana-4881	37	16	that	that	SCONJ
cana-4881	37	17	several	several	ADJ
cana-4881	37	18	publicly	publicly	ADV
cana-4881	37	19	accessible	accessible	ADJ
cana-4881	37	20	datasets	dataset	NOUN
cana-4881	37	21	suffer	suffer	VERB
cana-4881	37	22	from	from	ADP
cana-4881	37	23	poor	poor	ADJ
cana-4881	37	24	contrast	contrast	NOUN
cana-4881	37	25	and	and	CCONJ
cana-4881	37	26	suboptimal	suboptimal	ADJ
cana-4881	37	27	resolution	resolution	NOUN
cana-4881	37	28	,	,	PUNCT
cana-4881	37	29	which	which	PRON
cana-4881	37	30	can	can	AUX
cana-4881	37	31	hinder	hinder	VERB
cana-4881	37	32	accurate	accurate	ADJ
cana-4881	37	33	diagnosis	diagnosis	NOUN
cana-4881	37	34	.	.	PUNCT
cana-4881	38	1	herman	herman	PROPN
cana-4881	38	2	khalid	khalid	PROPN
cana-4881	38	3	omer	omer	PROPN
cana-4881	38	4	et	et	PROPN
cana-4881	38	5	al	al	PROPN
cana-4881	38	6	.	.	PUNCT
cana-4881	39	1	[	[	X
cana-4881	39	2	8	8	NUM
cana-4881	39	3	]	]	PUNCT
cana-4881	39	4	introduced	introduce	VERB
cana-4881	39	5	a	a	DET
cana-4881	39	6	computer	computer	NOUN
cana-4881	39	7	-	-	PUNCT
cana-4881	39	8	aided	aid	VERB
cana-4881	39	9	diagnostic	diagnostic	ADJ
cana-4881	39	10	framework	framework	NOUN
cana-4881	39	11	called	call	VERB
cana-4881	39	12	dream	dream	NOUN
cana-4881	39	13	,	,	PUNCT
cana-4881	39	14	designed	design	VERB
cana-4881	39	15	to	to	PART
cana-4881	39	16	evaluate	evaluate	VERB
cana-4881	39	17	fundus	fundus	NOUN
cana-4881	39	18	images	image	NOUN
cana-4881	39	19	under	under	ADP
cana-4881	39	20	varying	vary	VERB
cana-4881	39	21	lighting	lighting	NOUN
cana-4881	39	22	conditions	condition	NOUN
cana-4881	39	23	and	and	CCONJ
cana-4881	39	24	fields	field	NOUN
cana-4881	39	25	of	of	ADP
cana-4881	39	26	view	view	NOUN
cana-4881	39	27	.	.	PUNCT
cana-4881	40	1	this	this	DET
cana-4881	40	2	system	system	NOUN
cana-4881	40	3	employs	employ	VERB
cana-4881	40	4	a	a	DET
cana-4881	40	5	neural	neural	ADJ
cana-4881	40	6	network	network	NOUN
cana-4881	40	7	-	-	PUNCT
cana-4881	40	8	based	base	VERB
cana-4881	40	9	classification	classification	NOUN
cana-4881	40	10	model	model	NOUN
cana-4881	40	11	to	to	PART
cana-4881	40	12	assign	assign	VERB
cana-4881	40	13	severity	severity	NOUN
cana-4881	40	14	scores	score	NOUN
cana-4881	40	15	to	to	ADP
cana-4881	40	16	dr	dr	PROPN
cana-4881	40	17	cases	case	NOUN
cana-4881	40	18	.	.	PUNCT
cana-4881	41	1	the	the	DET
cana-4881	41	2	research	research	NOUN
cana-4881	41	3	methodology	methodology	NOUN
cana-4881	41	4	incorporates	incorporate	VERB
cana-4881	41	5	several	several	ADJ
cana-4881	41	6	key	key	ADJ
cana-4881	41	7	steps	step	NOUN
cana-4881	41	8	.	.	PUNCT
cana-4881	42	1	application	application	NOUN
cana-4881	42	2	of	of	ADP
cana-4881	42	3	enhancement	enhancement	NOUN
cana-4881	42	4	techniques	technique	NOUN
cana-4881	42	5	such	such	ADJ
cana-4881	42	6	as	as	ADP
cana-4881	42	7	histogram	histogram	NOUN
cana-4881	42	8	equalization	equalization	NOUN
cana-4881	42	9	,	,	PUNCT
cana-4881	42	10	noise	noise	NOUN
cana-4881	42	11	reduction	reduction	NOUN
cana-4881	42	12	,	,	PUNCT
cana-4881	42	13	and	and	CCONJ
cana-4881	42	14	image	image	NOUN
cana-4881	42	15	scaling	scale	VERB
cana-4881	42	16	to	to	PART
cana-4881	42	17	refine	refine	VERB
cana-4881	42	18	dataset	dataset	ADJ
cana-4881	42	19	images	image	NOUN
cana-4881	42	20	.	.	PUNCT
cana-4881	43	1	utilization	utilization	NOUN
cana-4881	43	2	of	of	ADP
cana-4881	43	3	vslam	vslam	PROPN
cana-4881	43	4	for	for	ADP
cana-4881	43	5	feature	feature	NOUN
cana-4881	43	6	extraction	extraction	NOUN
cana-4881	43	7	.	.	PUNCT
cana-4881	44	1	deployment	deployment	NOUN
cana-4881	44	2	of	of	ADP
cana-4881	44	3	a	a	DET
cana-4881	44	4	bilayered	bilayere	VERB
cana-4881	44	5	neural	neural	ADJ
cana-4881	44	6	network	network	NOUN
cana-4881	44	7	with	with	ADP
cana-4881	44	8	resubstitution	resubstitution	NOUN
cana-4881	44	9	validation	validation	NOUN
cana-4881	44	10	to	to	PART
cana-4881	44	11	perform	perform	VERB
cana-4881	44	12	classification	classification	NOUN
cana-4881	44	13	.	.	PUNCT
cana-4881	45	1	mutawa	mutawa	PROPN
cana-4881	45	2	,	,	PUNCT
cana-4881	45	3	a.m.	a.m.	NOUN
cana-4881	45	4	et	et	PROPN
cana-4881	45	5	al	al	PROPN
cana-4881	45	6	.	.	PUNCT
cana-4881	46	1	[	[	X
cana-4881	46	2	9	9	NUM
cana-4881	46	3	]	]	PUNCT
cana-4881	46	4	developed	develop	VERB
cana-4881	46	5	a	a	DET
cana-4881	46	6	deep	deep	ADJ
cana-4881	46	7	learning	learning	NOUN
cana-4881	46	8	framework	framework	NOUN
cana-4881	46	9	leveraging	leverage	VERB
cana-4881	46	10	convolutional	convolutional	ADJ
cana-4881	46	11	neural	neural	ADJ
cana-4881	46	12	networks	network	NOUN
cana-4881	46	13	(	(	PUNCT
cana-4881	46	14	cnn	cnn	PROPN
cana-4881	46	15	)	)	PUNCT
cana-4881	46	16	to	to	PART
cana-4881	46	17	accurately	accurately	ADV
cana-4881	46	18	predict	predict	VERB
cana-4881	46	19	dr	dr	PROPN
cana-4881	46	20	severity	severity	NOUN
cana-4881	46	21	levels	level	NOUN
cana-4881	46	22	.	.	PUNCT
cana-4881	47	1	the	the	DET
cana-4881	47	2	model	model	NOUN
cana-4881	47	3	underwent	underwent	NOUN
cana-4881	47	4	training	training	NOUN
cana-4881	47	5	,	,	PUNCT
cana-4881	47	6	validation	validation	NOUN
cana-4881	47	7	,	,	PUNCT
cana-4881	47	8	and	and	CCONJ
cana-4881	47	9	testing	testing	NOUN
cana-4881	47	10	on	on	ADP
cana-4881	47	11	the	the	DET
cana-4881	47	12	aptos	aptos	NOUN
cana-4881	47	13	-	-	PUNCT
cana-4881	47	14	ddr	ddr	NOUN
cana-4881	47	15	fundus	fundus	NOUN
cana-4881	47	16	dataset	dataset	NOUN
cana-4881	47	17	.	.	PUNCT
cana-4881	48	1	preprocessing	preprocesse	VERB
cana-4881	48	2	techniques	technique	NOUN
cana-4881	48	3	involved	involve	VERB
cana-4881	48	4	contrast	contrast	NOUN
cana-4881	48	5	-	-	PUNCT
cana-4881	48	6	limited	limit	VERB
cana-4881	48	7	adaptive	adaptive	ADJ
cana-4881	48	8	histogram	histogram	NOUN
cana-4881	48	9	equalization	equalization	NOUN
cana-4881	48	10	(	(	PUNCT
cana-4881	48	11	clahe	clahe	PROPN
cana-4881	48	12	)	)	PUNCT
cana-4881	48	13	to	to	PART
cana-4881	48	14	enhance	enhance	VERB
cana-4881	48	15	image	image	NOUN
cana-4881	48	16	contrast	contrast	NOUN
cana-4881	48	17	,	,	PUNCT
cana-4881	48	18	followed	follow	VERB
cana-4881	48	19	by	by	ADP
cana-4881	48	20	discrete	discrete	ADJ
cana-4881	48	21	wavelet	wavelet	NOUN
cana-4881	48	22	transform	transform	NOUN
cana-4881	48	23	(	(	PUNCT
cana-4881	48	24	dwt	dwt	NOUN
cana-4881	48	25	)	)	PUNCT
cana-4881	48	26	to	to	PART
cana-4881	48	27	extract	extract	VERB
cana-4881	48	28	essential	essential	ADJ
cana-4881	48	29	image	image	NOUN
cana-4881	48	30	coefficients	coefficient	NOUN
cana-4881	48	31	.	.	PUNCT
cana-4881	49	1	the	the	DET
cana-4881	49	2	cnn	cnn	PROPN
cana-4881	49	3	model	model	NOUN
cana-4881	49	4	efficiently	efficiently	ADV
cana-4881	49	5	identified	identify	VERB
cana-4881	49	6	and	and	CCONJ
cana-4881	49	7	learned	learn	VERB
cana-4881	49	8	relevant	relevant	ADJ
cana-4881	49	9	patterns	pattern	NOUN
cana-4881	49	10	from	from	ADP
cana-4881	49	11	the	the	DET
cana-4881	49	12	preprocessed	preprocesse	VERB
cana-4881	49	13	images	image	NOUN
cana-4881	49	14	,	,	PUNCT
cana-4881	49	15	enabling	enable	VERB
cana-4881	49	16	multi	multi	ADJ
cana-4881	49	17	-	-	ADJ
cana-4881	49	18	class	class	ADJ
cana-4881	49	19	categorization	categorization	NOUN
cana-4881	49	20	of	of	ADP
cana-4881	49	21	dr	dr	PROPN
cana-4881	49	22	into	into	ADP
cana-4881	49	23	five	five	NUM
cana-4881	49	24	distinct	distinct	ADJ
cana-4881	49	25	stages	stage	NOUN
cana-4881	49	26	:	:	PUNCT
cana-4881	49	27	normal	normal	ADJ
cana-4881	49	28	(	(	PUNCT
cana-4881	49	29	no	no	DET
cana-4881	49	30	dr	dr	PROPN
cana-4881	49	31	)	)	PUNCT
cana-4881	49	32	,	,	PUNCT
cana-4881	49	33	mild	mild	ADJ
cana-4881	49	34	,	,	PUNCT
cana-4881	49	35	moderate	moderate	ADJ
cana-4881	49	36	,	,	PUNCT
cana-4881	49	37	severe	severe	ADJ
cana-4881	49	38	,	,	PUNCT
cana-4881	49	39	and	and	CCONJ
cana-4881	49	40	proliferative	proliferative	ADJ
cana-4881	49	41	dr	dr	PROPN
cana-4881	49	42	(	(	PUNCT
cana-4881	49	43	prdr	prdr	ADJ
cana-4881	49	44	)	)	PUNCT
cana-4881	49	45	.	.	PUNCT
cana-4881	50	1	k.	k.	PROPN
cana-4881	50	2	ahnaf	ahnaf	PROPN
cana-4881	50	3	alavee	alavee	PROPN
cana-4881	50	4	et	et	PROPN
cana-4881	50	5	al	al	PROPN
cana-4881	50	6	.	.	PUNCT
cana-4881	51	1	[	[	X
cana-4881	51	2	10	10	NUM
cana-4881	51	3	]	]	PUNCT
cana-4881	51	4	employed	employ	VERB
cana-4881	51	5	a	a	DET
cana-4881	51	6	diverse	diverse	ADJ
cana-4881	51	7	array	array	NOUN
cana-4881	51	8	of	of	ADP
cana-4881	51	9	image	image	NOUN
cana-4881	51	10	preprocessing	preprocessing	NOUN
cana-4881	51	11	strategies	strategy	NOUN
cana-4881	51	12	—	—	PUNCT
cana-4881	51	13	including	include	VERB
cana-4881	51	14	random	random	ADJ
cana-4881	51	15	rotation	rotation	NOUN
cana-4881	51	16	,	,	PUNCT
cana-4881	51	17	horizontal	horizontal	ADJ
cana-4881	51	18	and	and	CCONJ
cana-4881	51	19	vertical	vertical	ADJ
cana-4881	51	20	flipping	flipping	NOUN
cana-4881	51	21	,	,	PUNCT
cana-4881	51	22	resampling	resampling	NOUN
cana-4881	51	23	,	,	PUNCT
cana-4881	51	24	constant	constant	ADJ
cana-4881	51	25	filling	filling	NOUN
cana-4881	51	26	,	,	PUNCT
cana-4881	51	27	and	and	CCONJ
cana-4881	51	28	zooming	zoom	VERB
cana-4881	51	29	—	—	PUNCT
cana-4881	51	30	to	to	PART
cana-4881	51	31	refine	refine	VERB
cana-4881	51	32	retinal	retinal	ADJ
cana-4881	51	33	fundus	fundus	NOUN
cana-4881	51	34	images	image	NOUN
cana-4881	51	35	by	by	ADP
cana-4881	51	36	mitigating	mitigate	VERB
cana-4881	51	37	artifacts	artifact	NOUN
cana-4881	51	38	and	and	CCONJ
cana-4881	51	39	unwanted	unwanted	ADJ
cana-4881	51	40	noise	noise	NOUN
cana-4881	51	41	.	.	PUNCT
cana-4881	52	1	their	their	PRON
cana-4881	52	2	study	study	NOUN
cana-4881	52	3	introduced	introduce	VERB
cana-4881	52	4	a	a	DET
cana-4881	52	5	novel	novel	ADJ
cana-4881	52	6	custom	custom	ADV
cana-4881	52	7	-	-	PUNCT
cana-4881	52	8	built	build	VERB
cana-4881	52	9	cnn	cnn	PROPN
cana-4881	52	10	model	model	NOUN
cana-4881	52	11	,	,	PUNCT
cana-4881	52	12	achieving	achieve	VERB
cana-4881	52	13	an	an	DET
cana-4881	52	14	impressive	impressive	ADJ
cana-4881	52	15	classification	classification	NOUN
cana-4881	52	16	accuracy	accuracy	NOUN
cana-4881	52	17	of	of	ADP
cana-4881	52	18	95.27	95.27	NUM
cana-4881	52	19	%	%	NOUN
cana-4881	52	20	in	in	ADP
cana-4881	52	21	distinguishing	distinguish	VERB
cana-4881	52	22	between	between	ADP
cana-4881	52	23	dr	dr	PROPN
cana-4881	52	24	and	and	CCONJ
cana-4881	52	25	no_dr	no_dr	PROPN
cana-4881	52	26	cases	case	NOUN
cana-4881	52	27	.	.	PUNCT
cana-4881	53	1	recent	recent	ADJ
cana-4881	53	2	advancements	advancement	NOUN
cana-4881	53	3	in	in	ADP
cana-4881	53	4	deep	deep	ADJ
cana-4881	53	5	learning	learning	NOUN
cana-4881	53	6	-	-	PUNCT
cana-4881	53	7	driven	drive	VERB
cana-4881	53	8	medical	medical	ADJ
cana-4881	53	9	imaging	imaging	NOUN
cana-4881	53	10	have	have	AUX
cana-4881	53	11	substantially	substantially	ADV
cana-4881	53	12	enhanced	enhance	VERB
cana-4881	53	13	the	the	DET
cana-4881	53	14	precision	precision	NOUN
cana-4881	53	15	and	and	CCONJ
cana-4881	53	16	efficiency	efficiency	NOUN
cana-4881	53	17	of	of	ADP
cana-4881	53	18	dr	dr	PROPN
cana-4881	53	19	diagnosis	diagnosis	NOUN
cana-4881	53	20	,	,	PUNCT
cana-4881	53	21	leading	lead	VERB
cana-4881	53	22	to	to	ADP
cana-4881	53	23	communications	communication	NOUN
cana-4881	53	24	on	on	ADP
cana-4881	53	25	applied	apply	VERB
cana-4881	53	26	nonlinear	nonlinear	ADJ
cana-4881	53	27	analysis	analysis	NOUN
cana-4881	53	28	issn	issn	NOUN
cana-4881	53	29	:	:	PUNCT
cana-4881	53	30	1074	1074	NUM
cana-4881	53	31	-	-	PUNCT
cana-4881	53	32	133x	133x	NUM
cana-4881	53	33	vol	vol	VERB
cana-4881	53	34	32	32	NUM
cana-4881	53	35	no	no	NOUN
cana-4881	53	36	.	.	PUNCT
cana-4881	54	1	10s	10	NOUN
cana-4881	54	2	(	(	PUNCT
cana-4881	54	3	2025	2025	NUM
cana-4881	54	4	)	)	PUNCT
cana-4881	54	5	855	855	NUM
cana-4881	54	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-4881	54	7	improved	improve	VERB
cana-4881	54	8	clinical	clinical	ADJ
cana-4881	54	9	outcomes	outcome	NOUN
cana-4881	54	10	.	.	PUNCT
cana-4881	55	1	makala	makala	PROPN
cana-4881	55	2	bindu	bindu	PROPN
cana-4881	55	3	priya	priya	PROPN
cana-4881	55	4	et	et	PROPN
cana-4881	55	5	al	al	PROPN
cana-4881	55	6	.	.	PUNCT
cana-4881	56	1	[	[	X
cana-4881	56	2	11	11	NUM
cana-4881	56	3	]	]	PUNCT
cana-4881	56	4	devised	devise	VERB
cana-4881	56	5	a	a	DET
cana-4881	56	6	comprehensive	comprehensive	ADJ
cana-4881	56	7	multi	multi	ADJ
cana-4881	56	8	-	-	ADJ
cana-4881	56	9	step	step	ADJ
cana-4881	56	10	approach	approach	NOUN
cana-4881	56	11	for	for	ADP
cana-4881	56	12	dr	dr	PROPN
cana-4881	56	13	detection	detection	NOUN
cana-4881	56	14	and	and	CCONJ
cana-4881	56	15	classification	classification	NOUN
cana-4881	56	16	.	.	PUNCT
cana-4881	57	1	initially	initially	ADV
cana-4881	57	2	,	,	PUNCT
cana-4881	57	3	the	the	DET
cana-4881	57	4	optic	optic	ADJ
cana-4881	57	5	disc	disc	NOUN
cana-4881	57	6	was	be	AUX
cana-4881	57	7	segmented	segment	VERB
cana-4881	57	8	and	and	CCONJ
cana-4881	57	9	eliminated	eliminate	VERB
cana-4881	57	10	using	use	VERB
cana-4881	57	11	marker	marker	NOUN
cana-4881	57	12	-	-	PUNCT
cana-4881	57	13	controlled	control	VERB
cana-4881	57	14	watershed	watershed	NOUN
cana-4881	57	15	conversion	conversion	NOUN
cana-4881	57	16	,	,	PUNCT
cana-4881	57	17	followed	follow	VERB
cana-4881	57	18	by	by	ADP
cana-4881	57	19	blood	blood	NOUN
cana-4881	57	20	vessel	vessel	NOUN
cana-4881	57	21	extraction	extraction	NOUN
cana-4881	57	22	through	through	ADP
cana-4881	57	23	two	two	NUM
cana-4881	57	24	-	-	PUNCT
cana-4881	57	25	dimensional	dimensional	ADJ
cana-4881	57	26	grey	grey	NOUN
cana-4881	57	27	gradient	gradient	NOUN
cana-4881	57	28	-	-	PUNCT
cana-4881	57	29	based	base	VERB
cana-4881	57	30	multilevel	multilevel	NOUN
cana-4881	57	31	image	image	NOUN
cana-4881	57	32	thresholding	thresholding	NOUN
cana-4881	57	33	.	.	PUNCT
cana-4881	58	1	the	the	DET
cana-4881	58	2	study	study	NOUN
cana-4881	58	3	employed	employ	VERB
cana-4881	58	4	federated	federate	VERB
cana-4881	58	5	fuzzy	fuzzy	ADJ
cana-4881	58	6	k	k	ADJ
cana-4881	58	7	-	-	PUNCT
cana-4881	58	8	means	means	NOUN
cana-4881	58	9	clustering	cluster	VERB
cana-4881	58	10	for	for	ADP
cana-4881	58	11	the	the	DET
cana-4881	58	12	segmentation	segmentation	NOUN
cana-4881	58	13	of	of	ADP
cana-4881	58	14	dr	dr	PROPN
cana-4881	58	15	-	-	PUNCT
cana-4881	58	16	related	relate	VERB
cana-4881	58	17	abnormalities	abnormality	NOUN
cana-4881	58	18	,	,	PUNCT
cana-4881	58	19	including	include	VERB
cana-4881	58	20	hard	hard	ADJ
cana-4881	58	21	exudates	exudate	NOUN
cana-4881	58	22	,	,	PUNCT
cana-4881	58	23	hemorrhages	hemorrhage	NOUN
cana-4881	58	24	,	,	PUNCT
cana-4881	58	25	microaneurysms	microaneurysm	NOUN
cana-4881	58	26	,	,	PUNCT
cana-4881	58	27	and	and	CCONJ
cana-4881	58	28	soft	soft	ADJ
cana-4881	58	29	exudates	exudate	NOUN
cana-4881	58	30	.	.	PUNCT
cana-4881	59	1	to	to	PART
cana-4881	59	2	refine	refine	VERB
cana-4881	59	3	feature	feature	NOUN
cana-4881	59	4	representation	representation	NOUN
cana-4881	59	5	,	,	PUNCT
cana-4881	59	6	the	the	DET
cana-4881	59	7	force	force	NOUN
cana-4881	59	8	-	-	PUNCT
cana-4881	59	9	invariant	invariant	ADJ
cana-4881	59	10	improved	improve	VERB
cana-4881	59	11	feature	feature	NOUN
cana-4881	59	12	extraction	extraction	NOUN
cana-4881	59	13	technique	technique	NOUN
cana-4881	59	14	was	be	AUX
cana-4881	59	15	utilized	utilize	VERB
cana-4881	59	16	to	to	PART
cana-4881	59	17	minimize	minimize	VERB
cana-4881	59	18	feature	feature	NOUN
cana-4881	59	19	vector	vector	NOUN
cana-4881	59	20	dimensions	dimension	NOUN
cana-4881	59	21	,	,	PUNCT
cana-4881	59	22	while	while	SCONJ
cana-4881	59	23	the	the	DET
cana-4881	59	24	binary	binary	ADJ
cana-4881	59	25	chimp	chimp	PROPN
cana-4881	59	26	optimization	optimization	NOUN
cana-4881	59	27	algorithm	algorithm	PROPN
cana-4881	59	28	(	(	PUNCT
cana-4881	59	29	bcoa	bcoa	NOUN
cana-4881	59	30	)	)	PUNCT
cana-4881	59	31	was	be	AUX
cana-4881	59	32	applied	apply	VERB
cana-4881	59	33	to	to	PART
cana-4881	59	34	achieve	achieve	VERB
cana-4881	59	35	optimal	optimal	ADJ
cana-4881	59	36	feature	feature	NOUN
cana-4881	59	37	selection	selection	NOUN
cana-4881	59	38	.	.	PUNCT
cana-4881	60	1	classification	classification	NOUN
cana-4881	60	2	was	be	AUX
cana-4881	60	3	carried	carry	VERB
cana-4881	60	4	out	out	ADP
cana-4881	60	5	using	use	VERB
cana-4881	60	6	the	the	DET
cana-4881	60	7	mhsaggcn	mhsaggcn	PROPN
cana-4881	60	8	model	model	NOUN
cana-4881	60	9	,	,	PUNCT
cana-4881	60	10	which	which	PRON
cana-4881	60	11	categorized	categorize	VERB
cana-4881	60	12	fundus	fundus	NOUN
cana-4881	60	13	images	image	NOUN
cana-4881	60	14	into	into	ADP
cana-4881	60	15	normal	normal	ADJ
cana-4881	60	16	,	,	PUNCT
cana-4881	60	17	mild	mild	ADJ
cana-4881	60	18	,	,	PUNCT
cana-4881	60	19	moderate	moderate	ADJ
cana-4881	60	20	,	,	PUNCT
cana-4881	60	21	and	and	CCONJ
cana-4881	60	22	severe	severe	ADJ
cana-4881	60	23	dr	dr	PROPN
cana-4881	60	24	stages	stage	NOUN
cana-4881	60	25	.	.	PUNCT
cana-4881	61	1	nagachandrika	nagachandrika	NOUN
cana-4881	61	2	gogulamudi	gogulamudi	PROPN
cana-4881	61	3	et	et	PROPN
cana-4881	61	4	al	al	PROPN
cana-4881	61	5	.	.	PUNCT
cana-4881	62	1	[	[	X
cana-4881	62	2	12	12	NUM
cana-4881	62	3	]	]	PUNCT
cana-4881	62	4	sought	seek	VERB
cana-4881	62	5	to	to	PART
cana-4881	62	6	create	create	VERB
cana-4881	62	7	an	an	DET
cana-4881	62	8	advanced	advanced	ADJ
cana-4881	62	9	computer	computer	NOUN
cana-4881	62	10	-	-	PUNCT
cana-4881	62	11	assisted	assist	VERB
cana-4881	62	12	diagnostic	diagnostic	ADJ
cana-4881	62	13	system	system	NOUN
cana-4881	62	14	for	for	ADP
cana-4881	62	15	dr	dr	PROPN
cana-4881	62	16	classification	classification	NOUN
cana-4881	62	17	by	by	ADP
cana-4881	62	18	analyzing	analyze	VERB
cana-4881	62	19	retinal	retinal	ADJ
cana-4881	62	20	fundus	fundus	NOUN
cana-4881	62	21	images	image	NOUN
cana-4881	62	22	.	.	PUNCT
cana-4881	63	1	the	the	DET
cana-4881	63	2	proposed	propose	VERB
cana-4881	63	3	model	model	NOUN
cana-4881	63	4	was	be	AUX
cana-4881	63	5	trained	train	VERB
cana-4881	63	6	on	on	ADP
cana-4881	63	7	an	an	DET
cana-4881	63	8	extensive	extensive	ADJ
cana-4881	63	9	dataset	dataset	NOUN
cana-4881	63	10	to	to	PART
cana-4881	63	11	detect	detect	VERB
cana-4881	63	12	and	and	CCONJ
cana-4881	63	13	categorize	categorize	VERB
cana-4881	63	14	varying	vary	VERB
cana-4881	63	15	degrees	degree	NOUN
cana-4881	63	16	of	of	ADP
cana-4881	63	17	blindness	blindness	NOUN
cana-4881	63	18	and	and	CCONJ
cana-4881	63	19	dr	dr	PROPN
cana-4881	63	20	severity	severity	NOUN
cana-4881	63	21	.	.	PUNCT
cana-4881	64	1	a	a	DET
cana-4881	64	2	nonuniform	nonuniform	ADJ
cana-4881	64	3	squash	squash	NOUN
cana-4881	64	4	function	function	NOUN
cana-4881	64	5	was	be	AUX
cana-4881	64	6	integrated	integrate	VERB
cana-4881	64	7	into	into	ADP
cana-4881	64	8	capsule	capsule	ADJ
cana-4881	64	9	neural	neural	ADJ
cana-4881	64	10	networks	network	NOUN
cana-4881	64	11	to	to	PART
cana-4881	64	12	improve	improve	VERB
cana-4881	64	13	the	the	DET
cana-4881	64	14	model	model	NOUN
cana-4881	64	15	’s	’s	PART
cana-4881	64	16	ability	ability	NOUN
cana-4881	64	17	to	to	PART
cana-4881	64	18	focus	focus	VERB
cana-4881	64	19	on	on	ADP
cana-4881	64	20	complex	complex	ADJ
cana-4881	64	21	images	image	NOUN
cana-4881	64	22	while	while	SCONJ
cana-4881	64	23	ensuring	ensure	VERB
cana-4881	64	24	stability	stability	NOUN
cana-4881	64	25	during	during	ADP
cana-4881	64	26	training	training	NOUN
cana-4881	64	27	.	.	PUNCT
cana-4881	65	1	to	to	PART
cana-4881	65	2	assess	assess	VERB
cana-4881	65	3	its	its	PRON
cana-4881	65	4	efficacy	efficacy	NOUN
cana-4881	65	5	,	,	PUNCT
cana-4881	65	6	the	the	DET
cana-4881	65	7	model	model	NOUN
cana-4881	65	8	’s	’s	PART
cana-4881	65	9	performance	performance	NOUN
cana-4881	65	10	was	be	AUX
cana-4881	65	11	benchmarked	benchmarke	VERB
cana-4881	65	12	against	against	ADP
cana-4881	65	13	pre	pre	ADJ
cana-4881	65	14	-	-	ADJ
cana-4881	65	15	trained	train	VERB
cana-4881	65	16	cnn	cnn	PROPN
cana-4881	65	17	architectures	architecture	NOUN
cana-4881	65	18	such	such	ADJ
cana-4881	65	19	as	as	ADP
cana-4881	65	20	inceptionv3	inceptionv3	NOUN
cana-4881	65	21	,	,	PUNCT
cana-4881	65	22	vgg16	vgg16	PROPN
cana-4881	65	23	,	,	PUNCT
cana-4881	65	24	vgg19	vgg19	PROPN
cana-4881	65	25	,	,	PUNCT
cana-4881	65	26	and	and	CCONJ
cana-4881	65	27	xception	xception	NOUN
cana-4881	65	28	.	.	PUNCT
cana-4881	66	1	the	the	DET
cana-4881	66	2	redesigned	redesign	VERB
cana-4881	66	3	capsule	capsule	NOUN
cana-4881	66	4	network	network	NOUN
cana-4881	66	5	was	be	AUX
cana-4881	66	6	fine	fine	ADV
cana-4881	66	7	-	-	PUNCT
cana-4881	66	8	tuned	tune	VERB
cana-4881	66	9	to	to	PART
cana-4881	66	10	address	address	VERB
cana-4881	66	11	the	the	DET
cana-4881	66	12	limitations	limitation	NOUN
cana-4881	66	13	of	of	ADP
cana-4881	66	14	earlier	early	ADJ
cana-4881	66	15	research	research	NOUN
cana-4881	66	16	,	,	PUNCT
cana-4881	66	17	delivering	deliver	VERB
cana-4881	66	18	improved	improved	ADJ
cana-4881	66	19	accuracy	accuracy	NOUN
cana-4881	66	20	and	and	CCONJ
cana-4881	66	21	robustness	robustness	NOUN
cana-4881	66	22	in	in	ADP
cana-4881	66	23	dr	dr	PROPN
cana-4881	66	24	detection	detection	PROPN
cana-4881	66	25	.	.	PUNCT
cana-4881	67	1	iii	iii	X
cana-4881	67	2	.	.	PROPN
cana-4881	67	3	proposed	propose	VERB
cana-4881	67	4	model	model	NOUN
cana-4881	67	5	explanation	explanation	NOUN
cana-4881	67	6	of	of	ADP
cana-4881	67	7	medical	medical	ADJ
cana-4881	67	8	image	image	NOUN
cana-4881	67	9	diagnosis	diagnosis	NOUN
cana-4881	67	10	for	for	ADP
cana-4881	67	11	diabetic	diabetic	ADJ
cana-4881	67	12	retinopathy	retinopathy	NOUN
cana-4881	67	13	was	be	AUX
cana-4881	67	14	done	do	VERB
cana-4881	67	15	in	in	ADP
cana-4881	67	16	this	this	DET
cana-4881	67	17	section	section	NOUN
cana-4881	67	18	of	of	ADP
cana-4881	67	19	paper	paper	NOUN
cana-4881	67	20	.	.	PUNCT
cana-4881	68	1	whole	whole	ADJ
cana-4881	68	2	drdloflm	drdloflm	NOUN
cana-4881	68	3	(	(	PUNCT
cana-4881	68	4	diabetic	diabetic	ADJ
cana-4881	68	5	retinopathy	retinopathy	ADJ
cana-4881	68	6	deep	deep	ADJ
cana-4881	68	7	learning	learning	NOUN
cana-4881	68	8	optimized	optimize	VERB
cana-4881	68	9	frog	frog	NOUN
cana-4881	68	10	leaping	leap	VERB
cana-4881	68	11	model	model	NOUN
cana-4881	68	12	)	)	PUNCT
cana-4881	68	13	model	model	NOUN
cana-4881	68	14	was	be	AUX
cana-4881	68	15	detailed	detail	VERB
cana-4881	68	16	in	in	ADP
cana-4881	68	17	fig	fig	NOUN
cana-4881	68	18	.	.	PUNCT
cana-4881	69	1	1	1	X
cana-4881	69	2	.	.	X
cana-4881	70	1	this	this	DET
cana-4881	70	2	work	work	NOUN
cana-4881	70	3	takes	take	VERB
cana-4881	70	4	raw	raw	ADJ
cana-4881	70	5	image	image	NOUN
cana-4881	70	6	as	as	ADP
cana-4881	70	7	input	input	NOUN
cana-4881	70	8	to	to	PART
cana-4881	70	9	extract	extract	VERB
cana-4881	70	10	features	feature	NOUN
cana-4881	70	11	for	for	ADP
cana-4881	70	12	the	the	DET
cana-4881	70	13	training	training	NOUN
cana-4881	70	14	of	of	ADP
cana-4881	70	15	deep	deep	ADJ
cana-4881	70	16	neural	neural	ADJ
cana-4881	70	17	network	network	NOUN
cana-4881	70	18	.	.	PUNCT
cana-4881	71	1	each	each	DET
cana-4881	71	2	block	block	NOUN
cana-4881	71	3	of	of	ADP
cana-4881	71	4	the	the	DET
cana-4881	71	5	fig	fig	NOUN
cana-4881	71	6	.	.	PUNCT
cana-4881	72	1	1	1	NUM
cana-4881	72	2	is	be	AUX
cana-4881	72	3	detailed	detail	VERB
cana-4881	72	4	while	while	SCONJ
cana-4881	72	5	notation	notation	NOUN
cana-4881	72	6	used	use	VERB
cana-4881	72	7	in	in	ADP
cana-4881	72	8	the	the	DET
cana-4881	72	9	description	description	NOUN
cana-4881	72	10	was	be	AUX
cana-4881	72	11	list	list	NOUN
cana-4881	72	12	in	in	ADP
cana-4881	72	13	table	table	NOUN
cana-4881	72	14	1	1	NUM
cana-4881	72	15	.	.	PUNCT
cana-4881	73	1	drdloflm	drdloflm	NOUN
cana-4881	73	2	was	be	AUX
cana-4881	73	3	trained	train	VERB
cana-4881	73	4	by	by	ADP
cana-4881	73	5	the	the	DET
cana-4881	73	6	frog	frog	ADJ
cana-4881	73	7	leaping	leap	VERB
cana-4881	73	8	algorithm	algorithm	NOUN
cana-4881	73	9	optimized	optimize	VERB
cana-4881	73	10	feature	feature	NOUN
cana-4881	73	11	set	set	VERB
cana-4881	73	12	.	.	PUNCT
cana-4881	74	1	image	image	NOUN
cana-4881	74	2	pre	pre	ADJ
cana-4881	74	3	-	-	VERB
cana-4881	74	4	processing	process	VERB
cana-4881	74	5	the	the	DET
cana-4881	74	6	input	input	NOUN
cana-4881	74	7	is	be	AUX
cana-4881	74	8	retinopathy	retinopathy	ADJ
cana-4881	74	9	image	image	NOUN
cana-4881	74	10	dataset	dataset	NOUN
cana-4881	74	11	rid	rid	VERB
cana-4881	74	12	contains	contain	VERB
cana-4881	74	13	noisy	noisy	ADJ
cana-4881	74	14	data	datum	NOUN
cana-4881	74	15	,	,	PUNCT
cana-4881	74	16	which	which	PRON
cana-4881	74	17	must	must	AUX
cana-4881	74	18	be	be	AUX
cana-4881	74	19	cleaned	clean	VERB
cana-4881	74	20	up	up	ADP
cana-4881	74	21	by	by	ADP
cana-4881	74	22	applying	apply	VERB
cana-4881	74	23	a	a	DET
cana-4881	74	24	filter	filter	NOUN
cana-4881	74	25	in	in	ADP
cana-4881	74	26	order	order	NOUN
cana-4881	74	27	to	to	PART
cana-4881	74	28	get	get	VERB
cana-4881	74	29	the	the	DET
cana-4881	74	30	pixel	pixel	PROPN
cana-4881	74	31	value	value	NOUN
cana-4881	74	32	back	back	ADV
cana-4881	74	33	to	to	ADP
cana-4881	74	34	normal	normal	ADJ
cana-4881	74	35	.	.	PUNCT
cana-4881	75	1	in	in	ADP
cana-4881	75	2	order	order	NOUN
cana-4881	75	3	to	to	PART
cana-4881	75	4	get	get	AUX
cana-4881	75	5	rid	rid	VERB
cana-4881	75	6	of	of	ADP
cana-4881	75	7	the	the	DET
cana-4881	75	8	noise	noise	NOUN
cana-4881	75	9	,	,	PUNCT
cana-4881	75	10	the	the	DET
cana-4881	75	11	proposed	propose	VERB
cana-4881	75	12	model	model	NOUN
cana-4881	75	13	uses	use	VERB
cana-4881	75	14	a	a	DET
cana-4881	75	15	noise	noise	NOUN
cana-4881	75	16	removal	removal	NOUN
cana-4881	75	17	filter	filter	NOUN
cana-4881	75	18	[	[	X
cana-4881	75	19	13	13	NUM
cana-4881	75	20	]	]	PUNCT
cana-4881	75	21	.	.	PUNCT
cana-4881	76	1	the	the	DET
cana-4881	76	2	image	image	NOUN
cana-4881	76	3	is	be	AUX
cana-4881	76	4	then	then	ADV
cana-4881	76	5	converted	convert	VERB
cana-4881	76	6	into	into	ADP
cana-4881	76	7	a	a	DET
cana-4881	76	8	particular	particular	ADJ
cana-4881	76	9	format	format	NOUN
cana-4881	76	10	after	after	SCONJ
cana-4881	76	11	it	it	PRON
cana-4881	76	12	has	have	AUX
cana-4881	76	13	been	be	AUX
cana-4881	76	14	resized	resize	VERB
cana-4881	76	15	to	to	PART
cana-4881	76	16	correspond	correspond	VERB
cana-4881	76	17	with	with	ADP
cana-4881	76	18	the	the	DET
cana-4881	76	19	working	work	VERB
cana-4881	76	20	environment	environment	NOUN
cana-4881	76	21	of	of	ADP
cana-4881	76	22	the	the	DET
cana-4881	76	23	model	model	NOUN
cana-4881	76	24	.	.	PUNCT
cana-4881	77	1	therefore	therefore	ADV
cana-4881	77	2	,	,	PUNCT
cana-4881	77	3	if	if	SCONJ
cana-4881	77	4	image	image	NOUN
cana-4881	77	5	ri	ri	PROPN
cana-4881	77	6	is	be	AUX
cana-4881	77	7	the	the	DET
cana-4881	77	8	input	input	NOUN
cana-4881	77	9	image	image	NOUN
cana-4881	77	10	,	,	PUNCT
cana-4881	77	11	then	then	ADV
cana-4881	77	12	image	image	NOUN
cana-4881	77	13	prid	prid	PROPN
cana-4881	77	14	is	be	AUX
cana-4881	77	15	the	the	DET
cana-4881	77	16	preprocessed	preprocesse	VERB
cana-4881	77	17	images	image	NOUN
cana-4881	77	18	that	that	PRON
cana-4881	77	19	is	be	AUX
cana-4881	77	20	obtained	obtain	VERB
cana-4881	77	21	by	by	ADP
cana-4881	77	22	applying	apply	VERB
cana-4881	77	23	resizing	resizing	NOUN
cana-4881	77	24	,	,	PUNCT
cana-4881	77	25	grey	grey	PROPN
cana-4881	77	26	conversion	conversion	NOUN
cana-4881	77	27	,	,	PUNCT
cana-4881	77	28	and	and	CCONJ
cana-4881	77	29	the	the	DET
cana-4881	77	30	weiner	weiner	NOUN
cana-4881	77	31	filter	filter	NOUN
cana-4881	77	32	.	.	PUNCT
cana-4881	78	1	ip	ip	X
cana-4881	78	2	=	=	ADJ
cana-4881	78	3	imagepreprcessing(rid	imagepreprcessing(rid	NOUN
cana-4881	78	4	)	)	PUNCT
cana-4881	78	5	feature	feature	NOUN
cana-4881	78	6	extraction	extraction	NOUN
cana-4881	78	7	this	this	DET
cana-4881	78	8	work	work	NOUN
cana-4881	78	9	has	have	AUX
cana-4881	78	10	processed	process	VERB
cana-4881	78	11	image	image	NOUN
cana-4881	78	12	pixels	pixel	NOUN
cana-4881	78	13	into	into	ADP
cana-4881	78	14	two	two	NUM
cana-4881	78	15	cluster	cluster	NOUN
cana-4881	78	16	first	first	ADV
cana-4881	78	17	was	be	AUX
cana-4881	78	18	used	use	VERB
cana-4881	78	19	for	for	ADP
cana-4881	78	20	the	the	DET
cana-4881	78	21	trained	train	VERB
cana-4881	78	22	and	and	CCONJ
cana-4881	78	23	other	other	ADJ
cana-4881	78	24	was	be	AUX
cana-4881	78	25	transformed	transform	VERB
cana-4881	78	26	to	to	ADP
cana-4881	78	27	non	non	ADJ
cana-4881	78	28	-	-	ADJ
cana-4881	78	29	train	train	ADJ
cana-4881	78	30	portion	portion	NOUN
cana-4881	78	31	.	.	PUNCT
cana-4881	79	1	for	for	ADP
cana-4881	79	2	clustering	cluster	VERB
cana-4881	79	3	frog	frog	ADJ
cana-4881	79	4	leaping	leap	VERB
cana-4881	79	5	algorithm	algorithm	NOUN
cana-4881	79	6	was	be	AUX
cana-4881	79	7	used	use	VERB
cana-4881	79	8	.	.	PUNCT
cana-4881	80	1	in	in	ADP
cana-4881	80	2	frog	frog	ADJ
cana-4881	80	3	algorithm	algorithm	NOUN
cana-4881	80	4	two	two	NUM
cana-4881	80	5	step	step	NOUN
cana-4881	80	6	was	be	AUX
cana-4881	80	7	done	do	VERB
cana-4881	80	8	in	in	ADP
cana-4881	80	9	a	a	DET
cana-4881	80	10	involved	involve	VERB
cana-4881	80	11	as	as	ADP
cana-4881	80	12	a	a	DET
cana-4881	80	13	modification	modification	NOUN
cana-4881	80	14	in	in	ADP
cana-4881	80	15	existing	exist	VERB
cana-4881	80	16	frog	frog	NOUN
cana-4881	80	17	algorithm	algorithm	NOUN
cana-4881	80	18	.	.	PUNCT
cana-4881	81	1	so	so	ADV
cana-4881	81	2	modified	modify	VERB
cana-4881	81	3	frog	frog	NOUN
cana-4881	81	4	algorithm	algorithm	NOUN
cana-4881	81	5	applies	apply	VERB
cana-4881	81	6	twice	twice	DET
cana-4881	81	7	memeplex	memeplex	ADJ
cana-4881	81	8	operation	operation	NOUN
cana-4881	81	9	in	in	ADP
cana-4881	81	10	single	single	ADJ
cana-4881	81	11	iteration	iteration	NOUN
cana-4881	81	12	.	.	PUNCT
cana-4881	82	1	this	this	PRON
cana-4881	82	2	reduces	reduce	VERB
cana-4881	82	3	the	the	DET
cana-4881	82	4	iteration	iteration	NOUN
cana-4881	82	5	count	count	NOUN
cana-4881	82	6	and	and	CCONJ
cana-4881	82	7	increases	increase	VERB
cana-4881	82	8	the	the	DET
cana-4881	82	9	solution	solution	NOUN
cana-4881	82	10	quality	quality	NOUN
cana-4881	82	11	.	.	PUNCT
cana-4881	83	1	communications	communication	NOUN
cana-4881	83	2	on	on	ADP
cana-4881	83	3	applied	apply	VERB
cana-4881	83	4	nonlinear	nonlinear	ADJ
cana-4881	83	5	analysis	analysis	NOUN
cana-4881	83	6	issn	issn	NOUN
cana-4881	83	7	:	:	PUNCT
cana-4881	83	8	1074	1074	NUM
cana-4881	83	9	-	-	PUNCT
cana-4881	83	10	133x	133x	NUM
cana-4881	83	11	vol	vol	VERB
cana-4881	83	12	32	32	NUM
cana-4881	83	13	no	no	NOUN
cana-4881	83	14	.	.	PUNCT
cana-4881	84	1	10s	10	NOUN
cana-4881	84	2	(	(	PUNCT
cana-4881	84	3	2025	2025	NUM
cana-4881	84	4	)	)	PUNCT
cana-4881	84	5	856	856	NUM
cana-4881	84	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4881	84	7	fla	fla	PROPN
cana-4881	84	8	(	(	PUNCT
cana-4881	84	9	frog	frog	ADJ
cana-4881	84	10	leaping	leaping	NOUN
cana-4881	84	11	algorithm	algorithm	NOUN
cana-4881	84	12	)	)	PUNCT
cana-4881	84	13	this	this	DET
cana-4881	84	14	genetic	genetic	ADJ
cana-4881	84	15	algorithm	algorithm	NOUN
cana-4881	84	16	was	be	AUX
cana-4881	84	17	proposed	propose	VERB
cana-4881	84	18	by	by	ADP
cana-4881	84	19	muzaffar	muzaffar	PROPN
cana-4881	84	20	eusuff	eusuff	PROPN
cana-4881	84	21	et	et	PROPN
cana-4881	84	22	.	.	PUNCT
cana-4881	85	1	al	al	PROPN
cana-4881	85	2	.	.	PUNCT
cana-4881	86	1	in	in	ADP
cana-4881	86	2	[	[	X
cana-4881	86	3	14	14	NUM
cana-4881	86	4	]	]	PUNCT
cana-4881	86	5	.	.	PUNCT
cana-4881	87	1	its	its	PRON
cana-4881	87	2	an	an	DET
cana-4881	87	3	meta	meta	ADJ
cana-4881	87	4	heuristic	heuristic	ADJ
cana-4881	87	5	algorithm	algorithm	NOUN
cana-4881	87	6	having	have	VERB
cana-4881	87	7	global	global	ADJ
cana-4881	87	8	search	search	NOUN
cana-4881	87	9	ability	ability	NOUN
cana-4881	87	10	with	with	ADP
cana-4881	87	11	mathematical	mathematical	ADJ
cana-4881	87	12	functions	function	NOUN
cana-4881	87	13	.	.	PUNCT
cana-4881	88	1	here	here	ADV
cana-4881	88	2	natural	natural	ADJ
cana-4881	88	3	memetics	memetic	NOUN
cana-4881	88	4	were	be	AUX
cana-4881	88	5	used	use	VERB
cana-4881	88	6	for	for	ADP
cana-4881	88	7	searching	search	VERB
cana-4881	88	8	the	the	DET
cana-4881	88	9	best	good	ADJ
cana-4881	88	10	set	set	NOUN
cana-4881	88	11	of	of	ADP
cana-4881	88	12	solution	solution	NOUN
cana-4881	88	13	from	from	ADP
cana-4881	88	14	available	available	ADJ
cana-4881	88	15	area	area	NOUN
cana-4881	88	16	.	.	PUNCT
cana-4881	89	1	in	in	ADP
cana-4881	89	2	this	this	DET
cana-4881	89	3	algorithm	algorithm	NOUN
cana-4881	89	4	each	each	DET
cana-4881	89	5	feature	feature	NOUN
cana-4881	89	6	set	set	VERB
cana-4881	89	7	act	act	NOUN
cana-4881	89	8	as	as	ADP
cana-4881	89	9	‘	'	PUNCT
cana-4881	89	10	frog	frog	NOUN
cana-4881	89	11	”	"	PUNCT
cana-4881	89	12	where	where	SCONJ
cana-4881	89	13	group	group	NOUN
cana-4881	89	14	of	of	ADP
cana-4881	89	15	x	x	PROPN
cana-4881	89	16	frog	frog	NOUN
cana-4881	89	17	is	be	AUX
cana-4881	89	18	term	term	NOUN
cana-4881	89	19	as	as	ADP
cana-4881	89	20	memeplex	memeplex	NOUN
cana-4881	89	21	.	.	PUNCT
cana-4881	90	1	crossover	crossover	ADP
cana-4881	90	2	operation	operation	NOUN
cana-4881	90	3	in	in	ADP
cana-4881	90	4	fla	fla	PROPN
cana-4881	90	5	is	be	AUX
cana-4881	90	6	term	term	NOUN
cana-4881	90	7	as	as	ADP
cana-4881	90	8	shuffling	shuffle	VERB
cana-4881	90	9	.	.	PUNCT
cana-4881	91	1	so	so	ADV
cana-4881	91	2	after	after	SCONJ
cana-4881	91	3	maximum	maximum	ADJ
cana-4881	91	4	number	number	NOUN
cana-4881	91	5	of	of	ADP
cana-4881	91	6	iterations	iteration	NOUN
cana-4881	91	7	best	well	ADV
cana-4881	91	8	set	set	NOUN
cana-4881	91	9	of	of	ADP
cana-4881	91	10	features	feature	NOUN
cana-4881	91	11	set	set	VERB
cana-4881	91	12	(	(	PUNCT
cana-4881	91	13	frog	frog	NOUN
cana-4881	91	14	)	)	PUNCT
cana-4881	91	15	is	be	AUX
cana-4881	91	16	identified	identify	VERB
cana-4881	91	17	.	.	PUNCT
cana-4881	92	1	table	table	NOUN
cana-4881	92	2	1	1	NUM
cana-4881	92	3	drdloflm	drdloflm	NOUN
cana-4881	92	4	notation	notation	NOUN
cana-4881	92	5	table	table	NOUN
cana-4881	92	6	.	.	PUNCT
cana-4881	93	1	notation	notation	NOUN
cana-4881	93	2	meaning	mean	VERB
cana-4881	93	3	rid	rid	VERB
cana-4881	93	4	retinopathy	retinopathy	ADJ
cana-4881	93	5	image	image	NOUN
cana-4881	93	6	dataset	dataset	VERB
cana-4881	93	7	prid	prid	PROPN
cana-4881	93	8	processed	process	VERB
cana-4881	93	9	rid	rid	VERB
cana-4881	93	10	ifb	ifb	PROPN
cana-4881	93	11	image	image	NOUN
cana-4881	93	12	feature	feature	NOUN
cana-4881	93	13	bins	bin	NOUN
cana-4881	93	14	rib	rib	NOUN
cana-4881	93	15	retinopathy	retinopathy	ADJ
cana-4881	93	16	image	image	NOUN
cana-4881	93	17	block	block	NOUN
cana-4881	93	18	icf	icf	PROPN
cana-4881	93	19	image	image	PROPN
cana-4881	93	20	cosine	cosine	NOUN
cana-4881	93	21	features	feature	VERB
cana-4881	93	22	fp	fp	ADP
cana-4881	93	23	frog	frog	ADJ
cana-4881	93	24	population	population	NOUN
cana-4881	93	25	ff	ff	PROPN
cana-4881	93	26	frog	frog	PROPN
cana-4881	93	27	fitness	fitness	PROPN
cana-4881	93	28	x	x	SYM
cana-4881	93	29	memeplex	memeplex	PROPN
cana-4881	93	30	count	count	PROPN
cana-4881	93	31	sri	sri	PROPN
cana-4881	93	32	segmented	segment	VERB
cana-4881	93	33	retinopathy	retinopathy	ADJ
cana-4881	93	34	image	image	NOUN
cana-4881	93	35	s	s	VERB
cana-4881	93	36	stride	stride	NOUN
cana-4881	93	37	p	p	NOUN
cana-4881	93	38	padding	padding	NOUN
cana-4881	93	39	w	w	PROPN
cana-4881	93	40	filter	filter	NOUN
cana-4881	93	41	size	size	NOUN
cana-4881	93	42	rdtm	rdtm	VERB
cana-4881	93	43	retinopathy	retinopathy	ADJ
cana-4881	93	44	deep	deep	ADJ
cana-4881	93	45	trained	train	VERB
cana-4881	93	46	model	model	NOUN
cana-4881	93	47	generate	generate	VERB
cana-4881	93	48	frogs	frog	NOUN
cana-4881	93	49	in	in	ADP
cana-4881	93	50	this	this	DET
cana-4881	93	51	sfla	sfla	NOUN
cana-4881	93	52	set	set	NOUN
cana-4881	93	53	of	of	ADP
cana-4881	93	54	probable	probable	ADJ
cana-4881	93	55	solutions	solution	NOUN
cana-4881	93	56	act	act	VERB
cana-4881	93	57	as	as	ADP
cana-4881	93	58	frog	frog	ADJ
cana-4881	93	59	,	,	PUNCT
cana-4881	93	60	so	so	ADV
cana-4881	93	61	collection	collection	NOUN
cana-4881	93	62	of	of	ADP
cana-4881	93	63	frog	frog	NOUN
cana-4881	93	64	is	be	AUX
cana-4881	93	65	term	term	NOUN
cana-4881	93	66	as	as	ADP
cana-4881	93	67	population	population	NOUN
cana-4881	93	68	.	.	PUNCT
cana-4881	94	1	hence	hence	ADV
cana-4881	94	2	frog	frog	VERB
cana-4881	94	3	having	having	AUX
cana-4881	94	4	set	set	VERB
cana-4881	94	5	of	of	ADP
cana-4881	94	6	pixels	pixel	NOUN
cana-4881	94	7	that	that	PRON
cana-4881	94	8	may	may	AUX
cana-4881	94	9	act	act	VERB
cana-4881	94	10	as	as	ADP
cana-4881	94	11	cluster	cluster	NOUN
cana-4881	94	12	center	center	NOUN
cana-4881	94	13	or	or	CCONJ
cana-4881	94	14	probable	probable	ADJ
cana-4881	94	15	solution	solution	NOUN
cana-4881	94	16	.	.	PUNCT
cana-4881	95	1	so	so	ADV
cana-4881	95	2	let	let	VERB
cana-4881	95	3	us	we	PRON
cana-4881	95	4	understand	understand	VERB
cana-4881	95	5	this	this	PRON
cana-4881	95	6	by	by	ADP
cana-4881	95	7	assuming	assume	VERB
cana-4881	95	8	f	f	PROPN
cana-4881	95	9	number	number	NOUN
cana-4881	95	10	of	of	ADP
cana-4881	95	11	frogs	frog	NOUN
cana-4881	95	12	and	and	CCONJ
cana-4881	95	13	c	c	NOUN
cana-4881	95	14	minimum	minimum	ADJ
cana-4881	95	15	number	number	NOUN
cana-4881	95	16	of	of	ADP
cana-4881	95	17	cluster	cluster	NOUN
cana-4881	95	18	in	in	ADP
cana-4881	95	19	a	a	DET
cana-4881	95	20	set	set	NOUN
cana-4881	95	21	.	.	PUNCT
cana-4881	96	1	so	so	ADV
cana-4881	96	2	frog	frog	ADJ
cana-4881	96	3	look	look	NOUN
cana-4881	96	4	like	like	ADP
cana-4881	96	5	:	:	PUNCT
cana-4881	96	6	f={p1	f={p1	PROPN
cana-4881	96	7	,	,	PUNCT
cana-4881	96	8	p2	p2	PROPN
cana-4881	96	9	}	}	PUNCT
cana-4881	96	10	.	.	PUNCT
cana-4881	97	1	hence	hence	ADV
cana-4881	97	2	frog	frog	NOUN
cana-4881	97	3	generation	generation	NOUN
cana-4881	97	4	function	function	NOUN
cana-4881	97	5	is	be	AUX
cana-4881	97	6	shown	show	VERB
cana-4881	97	7	in	in	ADP
cana-4881	97	8	eq	eq	ADJ
cana-4881	97	9	.	.	PROPN
cana-4881	97	10	2	2	NUM
cana-4881	97	11	.	.	X
cana-4881	98	1	fpgeneratefrog(f	fpgeneratefrog(f	PROPN
cana-4881	98	2	,	,	PUNCT
cana-4881	98	3	c)-----eq	c)-----eq	NOUN
cana-4881	98	4	.	.	NOUN
cana-4881	98	5	2	2	NUM
cana-4881	98	6	fitness	fitness	NOUN
cana-4881	98	7	function	function	NOUN
cana-4881	98	8	estimation	estimation	NOUN
cana-4881	98	9	of	of	ADP
cana-4881	98	10	fitness	fitness	NOUN
cana-4881	98	11	value	value	NOUN
cana-4881	98	12	of	of	ADP
cana-4881	98	13	frog	frog	NOUN
cana-4881	98	14	depends	depend	VERB
cana-4881	98	15	upon	upon	SCONJ
cana-4881	98	16	the	the	DET
cana-4881	98	17	input	input	NOUN
cana-4881	98	18	feature	feature	NOUN
cana-4881	98	19	training	training	NOUN
cana-4881	98	20	matrix	matrix	NOUN
cana-4881	98	21	as	as	ADP
cana-4881	98	22	per	per	ADP
cana-4881	98	23	frog	frog	NOUN
cana-4881	98	24	f.	f.	PROPN
cana-4881	98	25	hence	hence	ADV
cana-4881	98	26	this	this	DET
cana-4881	98	27	function	function	NOUN
cana-4881	98	28	estimates	estimate	VERB
cana-4881	98	29	distance	distance	NOUN
cana-4881	98	30	from	from	ADP
cana-4881	98	31	the	the	DET
cana-4881	98	32	frog	frog	NOUN
cana-4881	98	33	where	where	SCONJ
cana-4881	98	34	sum	sum	NOUN
cana-4881	98	35	of	of	ADP
cana-4881	98	36	minimum	minimum	ADJ
cana-4881	98	37	distance	distance	NOUN
cana-4881	98	38	values	value	NOUN
cana-4881	98	39	is	be	AUX
cana-4881	98	40	consider	consider	VERB
cana-4881	98	41	as	as	ADP
cana-4881	98	42	frog	frog	NOUN
cana-4881	98	43	fitness	fitness	NOUN
cana-4881	98	44	value	value	NOUN
cana-4881	98	45	ff	ff	NOUN
cana-4881	98	46	.	.	PUNCT
cana-4881	99	1	memeplex	memeplex	PROPN
cana-4881	99	2	:	:	PUNCT
cana-4881	99	3	estimated	estimate	VERB
cana-4881	99	4	fitness	fitness	NOUN
cana-4881	99	5	value	value	NOUN
cana-4881	99	6	of	of	ADP
cana-4881	99	7	each	each	DET
cana-4881	99	8	frog	frog	NOUN
cana-4881	99	9	were	be	AUX
cana-4881	99	10	sorted	sort	VERB
cana-4881	99	11	in	in	ADP
cana-4881	99	12	descending	descend	VERB
cana-4881	99	13	order	order	NOUN
cana-4881	99	14	[	[	X
cana-4881	99	15	15	15	NUM
cana-4881	99	16	]	]	PUNCT
cana-4881	99	17	.	.	PUNCT
cana-4881	100	1	after	after	ADP
cana-4881	100	2	sorting	sort	VERB
cana-4881	100	3	x	x	SYM
cana-4881	100	4	set	set	NOUN
cana-4881	100	5	of	of	ADP
cana-4881	100	6	frogs	frog	NOUN
cana-4881	100	7	were	be	AUX
cana-4881	100	8	cluster	cluster	NOUN
cana-4881	100	9	which	which	PRON
cana-4881	100	10	is	be	AUX
cana-4881	100	11	term	term	NOUN
cana-4881	100	12	as	as	ADP
cana-4881	100	13	memeplex	memeplex	NOUN
cana-4881	100	14	.	.	PUNCT
cana-4881	101	1	hence	hence	ADV
cana-4881	101	2	whole	whole	ADJ
cana-4881	101	3	population	population	NOUN
cana-4881	101	4	fp	fp	X
cana-4881	101	5	is	be	AUX
cana-4881	101	6	divide	divide	ADJ
cana-4881	101	7	into	into	ADP
cana-4881	101	8	m	m	PROPN
cana-4881	101	9	/	/	SYM
cana-4881	101	10	x	x	PROPN
cana-4881	101	11	memeplex	memeplex	PROPN
cana-4881	101	12	have	have	VERB
cana-4881	101	13	x	x	NOUN
cana-4881	101	14	number	number	NOUN
cana-4881	101	15	of	of	ADP
cana-4881	101	16	frogs	frog	NOUN
cana-4881	101	17	.	.	PUNCT
cana-4881	102	1	shuffling	shuffle	VERB
cana-4881	102	2	:	:	PUNCT
cana-4881	102	3	in	in	ADP
cana-4881	102	4	this	this	DET
cana-4881	102	5	step	step	NOUN
cana-4881	102	6	of	of	ADP
cana-4881	102	7	genetic	genetic	ADJ
cana-4881	102	8	algorithm	algorithm	NOUN
cana-4881	102	9	crossover	crossover	NOUN
cana-4881	102	10	of	of	ADP
cana-4881	102	11	the	the	DET
cana-4881	102	12	algorithm	algorithm	NOUN
cana-4881	102	13	was	be	AUX
cana-4881	102	14	done	do	VERB
cana-4881	102	15	by	by	ADP
cana-4881	102	16	selecting	select	VERB
cana-4881	102	17	one	one	NUM
cana-4881	102	18	best	good	ADJ
cana-4881	102	19	parent	parent	NOUN
cana-4881	102	20	in	in	ADP
cana-4881	102	21	memeplex	memeplex	PROPN
cana-4881	102	22	.	.	PUNCT
cana-4881	103	1	so	so	ADV
cana-4881	103	2	as	as	SCONJ
cana-4881	103	3	per	per	ADP
cana-4881	103	4	fitness	fitness	NOUN
cana-4881	103	5	value	value	NOUN
cana-4881	103	6	crossover	crossover	NOUN
cana-4881	103	7	with	with	ADP
cana-4881	103	8	other	other	ADJ
cana-4881	103	9	set	set	NOUN
cana-4881	103	10	of	of	ADP
cana-4881	103	11	frogs	frog	NOUN
cana-4881	103	12	were	be	AUX
cana-4881	103	13	perform	perform	NOUN
cana-4881	103	14	.	.	PUNCT
cana-4881	104	1	so	so	ADV
cana-4881	104	2	selection	selection	NOUN
cana-4881	104	3	of	of	ADP
cana-4881	104	4	this	this	DET
cana-4881	104	5	common	common	ADJ
cana-4881	104	6	parent	parent	NOUN
cana-4881	104	7	depends	depend	VERB
cana-4881	104	8	on	on	ADP
cana-4881	104	9	fitness	fitness	NOUN
cana-4881	104	10	value	value	NOUN
cana-4881	104	11	.	.	PUNCT
cana-4881	105	1	here	here	ADV
cana-4881	105	2	best	good	ADJ
cana-4881	105	3	fitness	fitness	NOUN
cana-4881	105	4	values	value	NOUN
cana-4881	105	5	frog	frog	VERB
cana-4881	105	6	of	of	ADP
cana-4881	105	7	memeplex	memeplex	PROPN
cana-4881	105	8	act	act	PROPN
cana-4881	105	9	as	as	ADP
cana-4881	105	10	common	common	ADJ
cana-4881	105	11	parent	parent	NOUN
cana-4881	105	12	in	in	ADP
cana-4881	105	13	all	all	DET
cana-4881	105	14	crossover	crossover	NOUN
cana-4881	105	15	operation	operation	NOUN
cana-4881	105	16	in	in	ADP
cana-4881	105	17	a	a	DET
cana-4881	105	18	memeplex	memeplex	NOUN
cana-4881	105	19	.	.	PUNCT
cana-4881	106	1	this	this	DET
cana-4881	106	2	work	work	NOUN
cana-4881	106	3	done	do	VERB
cana-4881	106	4	two	two	NUM
cana-4881	106	5	time	time	NOUN
cana-4881	106	6	shuffling	shuffle	VERB
cana-4881	106	7	communications	communication	NOUN
cana-4881	106	8	on	on	ADP
cana-4881	106	9	applied	apply	VERB
cana-4881	106	10	nonlinear	nonlinear	ADJ
cana-4881	106	11	analysis	analysis	NOUN
cana-4881	106	12	issn	issn	NOUN
cana-4881	106	13	:	:	PUNCT
cana-4881	106	14	1074	1074	NUM
cana-4881	106	15	-	-	PUNCT
cana-4881	106	16	133x	133x	NUM
cana-4881	106	17	vol	vol	VERB
cana-4881	106	18	32	32	NUM
cana-4881	106	19	no	no	NOUN
cana-4881	106	20	.	.	PUNCT
cana-4881	107	1	10s	10	NOUN
cana-4881	107	2	(	(	PUNCT
cana-4881	107	3	2025	2025	NUM
cana-4881	107	4	)	)	PUNCT
cana-4881	107	5	857	857	NUM
cana-4881	107	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4881	107	7	operation	operation	NOUN
cana-4881	107	8	with	with	ADP
cana-4881	107	9	different	different	ADJ
cana-4881	107	10	memeplex	memeplex	NOUN
cana-4881	107	11	set	set	NOUN
cana-4881	107	12	of	of	ADP
cana-4881	107	13	frogs	frog	NOUN
cana-4881	107	14	.	.	PUNCT
cana-4881	108	1	fig	fig	NOUN
cana-4881	108	2	.	.	PUNCT
cana-4881	109	1	1	1	NUM
cana-4881	109	2	drdloflm	drdloflm	NOUN
cana-4881	109	3	block	block	NOUN
cana-4881	109	4	diagram	diagram	NOUN
cana-4881	109	5	.	.	PUNCT
cana-4881	110	1	communications	communication	NOUN
cana-4881	110	2	on	on	ADP
cana-4881	110	3	applied	apply	VERB
cana-4881	110	4	nonlinear	nonlinear	ADJ
cana-4881	110	5	analysis	analysis	NOUN
cana-4881	110	6	issn	issn	NOUN
cana-4881	110	7	:	:	PUNCT
cana-4881	110	8	1074	1074	NUM
cana-4881	110	9	-	-	PUNCT
cana-4881	110	10	133x	133x	NUM
cana-4881	110	11	vol	vol	VERB
cana-4881	110	12	32	32	NUM
cana-4881	110	13	no	no	NOUN
cana-4881	110	14	.	.	PUNCT
cana-4881	111	1	10s	10	NOUN
cana-4881	111	2	(	(	PUNCT
cana-4881	111	3	2025	2025	NUM
cana-4881	111	4	)	)	PUNCT
cana-4881	111	5	858	858	NUM
cana-4881	111	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4881	111	7	population	population	NOUN
cana-4881	111	8	updation	updation	NOUN
cana-4881	111	9	:	:	PUNCT
cana-4881	111	10	as	as	ADP
cana-4881	111	11	shuffling	shuffle	VERB
cana-4881	111	12	changes	change	NOUN
cana-4881	111	13	the	the	DET
cana-4881	111	14	frogs	frog	NOUN
cana-4881	111	15	of	of	ADP
cana-4881	111	16	the	the	DET
cana-4881	111	17	population	population	NOUN
cana-4881	111	18	so	so	ADV
cana-4881	111	19	retention	retention	NOUN
cana-4881	111	20	of	of	ADP
cana-4881	111	21	this	this	DET
cana-4881	111	22	frog	frog	NOUN
cana-4881	111	23	depends	depend	VERB
cana-4881	111	24	on	on	ADP
cana-4881	111	25	fitness	fitness	NOUN
cana-4881	111	26	value	value	NOUN
cana-4881	111	27	.	.	PUNCT
cana-4881	112	1	this	this	PRON
cana-4881	112	2	can	can	AUX
cana-4881	112	3	be	be	AUX
cana-4881	112	4	understand	understand	VERB
cana-4881	112	5	if	if	SCONJ
cana-4881	112	6	new	new	ADJ
cana-4881	112	7	frog	frog	NOUN
cana-4881	112	8	have	have	VERB
cana-4881	112	9	good	good	ADJ
cana-4881	112	10	fitness	fitness	NOUN
cana-4881	112	11	value	value	NOUN
cana-4881	112	12	as	as	SCONJ
cana-4881	112	13	compared	compare	VERB
cana-4881	112	14	to	to	ADP
cana-4881	112	15	parent	parent	NOUN
cana-4881	112	16	frog	frog	NOUN
cana-4881	112	17	fitness	fitness	NOUN
cana-4881	112	18	value	value	NOUN
cana-4881	112	19	than	than	ADP
cana-4881	112	20	new	new	ADJ
cana-4881	112	21	frog	frog	NOUN
cana-4881	112	22	was	be	AUX
cana-4881	112	23	include	include	VERB
cana-4881	112	24	in	in	ADP
cana-4881	112	25	the	the	DET
cana-4881	112	26	population	population	NOUN
cana-4881	112	27	,	,	PUNCT
cana-4881	112	28	otherwise	otherwise	ADV
cana-4881	112	29	parent	parent	NOUN
cana-4881	112	30	frog	frog	NOUN
cana-4881	112	31	will	will	AUX
cana-4881	112	32	continue	continue	VERB
cana-4881	112	33	in	in	ADP
cana-4881	112	34	population	population	NOUN
cana-4881	112	35	.	.	PUNCT
cana-4881	113	1	hence	hence	ADV
cana-4881	113	2	in	in	ADP
cana-4881	113	3	all	all	DET
cana-4881	113	4	situation	situation	NOUN
cana-4881	113	5	population	population	NOUN
cana-4881	113	6	size	size	NOUN
cana-4881	113	7	will	will	AUX
cana-4881	113	8	never	never	ADV
cana-4881	113	9	change	change	VERB
cana-4881	113	10	from	from	ADP
cana-4881	113	11	f	f	PROPN
cana-4881	113	12	number	number	NOUN
cana-4881	113	13	.	.	PUNCT
cana-4881	114	1	image	image	NOUN
cana-4881	114	2	blocked	block	VERB
cana-4881	114	3	:	:	PUNCT
cana-4881	114	4	the	the	DET
cana-4881	114	5	segmented	segment	VERB
cana-4881	114	6	image	image	NOUN
cana-4881	114	7	is	be	AUX
cana-4881	114	8	then	then	ADV
cana-4881	114	9	blocked	block	VERB
cana-4881	114	10	into	into	ADP
cana-4881	114	11	pixel	pixel	ADJ
cana-4881	114	12	values	value	NOUN
cana-4881	114	13	of	of	ADP
cana-4881	114	14	a	a	DET
cana-4881	114	15	fixed	fix	VERB
cana-4881	114	16	nxn	nxn	NOUN
cana-4881	114	17	size	size	NOUN
cana-4881	114	18	.	.	PUNCT
cana-4881	115	1	the	the	DET
cana-4881	115	2	features	feature	NOUN
cana-4881	115	3	are	be	AUX
cana-4881	115	4	extracted	extract	VERB
cana-4881	115	5	from	from	ADP
cana-4881	115	6	the	the	DET
cana-4881	115	7	image	image	NOUN
cana-4881	115	8	that	that	PRON
cana-4881	115	9	has	have	AUX
cana-4881	115	10	been	be	AUX
cana-4881	115	11	blocked	block	VERB
cana-4881	115	12	.	.	PUNCT
cana-4881	116	1	histogram	histogram	NOUN
cana-4881	116	2	and	and	CCONJ
cana-4881	116	3	discrete	discrete	ADJ
cana-4881	116	4	cosine	cosine	NOUN
cana-4881	116	5	transform	transform	NOUN
cana-4881	116	6	(	(	PUNCT
cana-4881	116	7	dct	dct	PROPN
cana-4881	116	8	)	)	PUNCT
cana-4881	116	9	features	feature	NOUN
cana-4881	116	10	are	be	AUX
cana-4881	116	11	extracted	extract	VERB
cana-4881	116	12	from	from	ADP
cana-4881	116	13	the	the	DET
cana-4881	116	14	image	image	NOUN
cana-4881	116	15	in	in	ADP
cana-4881	116	16	the	the	DET
cana-4881	116	17	proposed	propose	VERB
cana-4881	116	18	model	model	NOUN
cana-4881	116	19	so	so	SCONJ
cana-4881	116	20	as	as	SCONJ
cana-4881	116	21	to	to	PART
cana-4881	116	22	increase	increase	VERB
cana-4881	116	23	the	the	DET
cana-4881	116	24	work	work	NOUN
cana-4881	116	25	efficiency	efficiency	NOUN
cana-4881	116	26	.	.	PUNCT
cana-4881	117	1	histogram	histogram	NOUN
cana-4881	117	2	feature	feature	NOUN
cana-4881	117	3	here	here	ADV
cana-4881	117	4	work	work	NOUN
cana-4881	117	5	has	have	AUX
cana-4881	117	6	utilized	utilize	VERB
cana-4881	117	7	b	b	NOUN
cana-4881	117	8	bins	bin	NOUN
cana-4881	117	9	of	of	ADP
cana-4881	117	10	histogram	histogram	NOUN
cana-4881	117	11	values	value	NOUN
cana-4881	117	12	.	.	PUNCT
cana-4881	118	1	so	so	ADV
cana-4881	118	2	image	image	NOUN
cana-4881	118	3	feature	feature	NOUN
cana-4881	118	4	is	be	AUX
cana-4881	118	5	counting	count	VERB
cana-4881	118	6	of	of	ADP
cana-4881	118	7	pixels	pixel	NOUN
cana-4881	118	8	range	range	VERB
cana-4881	118	9	in	in	ADP
cana-4881	118	10	[	[	X
cana-4881	118	11	(	(	PUNCT
cana-4881	118	12	1	1	NUM
cana-4881	118	13	-	-	PUNCT
cana-4881	118	14	b	b	NOUN
cana-4881	118	15	)	)	PUNCT
cana-4881	118	16	,	,	PUNCT
cana-4881	118	17	(	(	PUNCT
cana-4881	118	18	b+1	b+1	X
cana-4881	118	19	–	–	PUNCT
cana-4881	118	20	2b	2b	NUM
cana-4881	118	21	)	)	PUNCT
cana-4881	118	22	,	,	PUNCT
cana-4881	118	23	…	…	PUNCT
cana-4881	118	24	…	…	PUNCT
cana-4881	118	25	…	…	PUNCT
cana-4881	118	26	(	(	PUNCT
cana-4881	118	27	pb	pb	ADP
cana-4881	118	28	-	-	PUNCT
cana-4881	118	29	m	m	NOUN
cana-4881	118	30	)	)	PUNCT
cana-4881	118	31	]	]	PUNCT
cana-4881	118	32	,	,	PUNCT
cana-4881	118	33	where	where	SCONJ
cana-4881	118	34	m	m	NOUN
cana-4881	118	35	is	be	AUX
cana-4881	118	36	max	max	PROPN
cana-4881	118	37	pixel	pixel	PROPN
cana-4881	118	38	limit	limit	NOUN
cana-4881	118	39	and	and	CCONJ
cana-4881	118	40	p	p	NOUN
cana-4881	118	41	is	be	AUX
cana-4881	118	42	(	(	PUNCT
cana-4881	118	43	m	m	PROPN
cana-4881	118	44	/	/	SYM
cana-4881	118	45	b	b	PROPN
cana-4881	118	46	–	–	PUNCT
cana-4881	118	47	1	1	NUM
cana-4881	118	48	)	)	PUNCT
cana-4881	118	49	.	.	PUNCT
cana-4881	119	1	this	this	PRON
cana-4881	119	2	can	can	AUX
cana-4881	119	3	be	be	AUX
cana-4881	119	4	understand	understand	VERB
cana-4881	119	5	as	as	SCONJ
cana-4881	119	6	let	let	VERB
cana-4881	119	7	image	image	NOUN
cana-4881	119	8	have	have	VERB
cana-4881	119	9	256	256	NUM
cana-4881	119	10	type	type	NOUN
cana-4881	119	11	of	of	ADP
cana-4881	119	12	pixel	pixel	PROPN
cana-4881	119	13	values	value	NOUN
cana-4881	119	14	,	,	PUNCT
cana-4881	119	15	now	now	ADV
cana-4881	119	16	bins	bin	NOUN
cana-4881	119	17	have	have	VERB
cana-4881	119	18	values	value	NOUN
cana-4881	119	19	in	in	ADP
cana-4881	119	20	range	range	NOUN
cana-4881	119	21	of	of	ADP
cana-4881	119	22	[	[	X
cana-4881	119	23	(	(	PUNCT
cana-4881	119	24	0	0	NUM
cana-4881	119	25	-	-	SYM
cana-4881	119	26	15	15	NUM
cana-4881	119	27	)	)	PUNCT
cana-4881	119	28	,	,	PUNCT
cana-4881	119	29	(	(	PUNCT
cana-4881	119	30	1631	1631	NUM
cana-4881	119	31	)	)	PUNCT
cana-4881	119	32	,	,	PUNCT
cana-4881	119	33	(	(	PUNCT
cana-4881	119	34	32	32	NUM
cana-4881	119	35	-	-	SYM
cana-4881	119	36	47),	47),	NUM
cana-4881	119	37	…	…	SYM
cana-4881	119	38	…	…	PUNCT
cana-4881	119	39	…	…	PUNCT
cana-4881	119	40	…	…	PUNCT
cana-4881	119	41	…	…	PUNCT
cana-4881	119	42	…	…	SYM
cana-4881	119	43	…	…	SYM
cana-4881	119	44	.(250	.(250	NOUN
cana-4881	119	45	-	-	PUNCT
cana-4881	119	46	255	255	NUM
cana-4881	119	47	)	)	PUNCT
cana-4881	119	48	]	]	PUNCT
cana-4881	119	49	.	.	PUNCT
cana-4881	120	1	small	small	ADJ
cana-4881	120	2	feature	feature	NOUN
cana-4881	120	3	set	set	VERB
cana-4881	120	4	of	of	ADP
cana-4881	120	5	sixteen	sixteen	NUM
cana-4881	120	6	values	value	NOUN
cana-4881	120	7	are	be	AUX
cana-4881	120	8	produced	produce	VERB
cana-4881	120	9	with	with	ADP
cana-4881	120	10	the	the	DET
cana-4881	120	11	image	image	NOUN
cana-4881	120	12	in	in	ADP
cana-4881	120	13	form	form	NOUN
cana-4881	120	14	of	of	ADP
cana-4881	120	15	visual	visual	ADJ
cana-4881	120	16	content	content	NOUN
cana-4881	120	17	so	so	SCONJ
cana-4881	120	18	comparison	comparison	NOUN
cana-4881	120	19	takes	take	VERB
cana-4881	120	20	less	less	ADJ
cana-4881	120	21	time	time	NOUN
cana-4881	121	1	[	[	X
cana-4881	121	2	16	16	NUM
cana-4881	121	3	]	]	PUNCT
cana-4881	121	4	.	.	PUNCT
cana-4881	122	1	dwt	dwt	PROPN
cana-4881	122	2	(	(	PUNCT
cana-4881	122	3	discrete	discrete	ADJ
cana-4881	122	4	cosine	cosine	NOUN
cana-4881	122	5	transform	transform	NOUN
cana-4881	122	6	)	)	PUNCT
cana-4881	122	7	as	as	SCONJ
cana-4881	122	8	image	image	NOUN
cana-4881	122	9	information	information	NOUN
cana-4881	122	10	is	be	AUX
cana-4881	122	11	concentrated	concentrate	VERB
cana-4881	122	12	in	in	ADP
cana-4881	122	13	the	the	DET
cana-4881	122	14	low	low	ADJ
cana-4881	122	15	-	-	PUNCT
cana-4881	122	16	frequency	frequency	NOUN
cana-4881	122	17	dct	dct	NOUN
cana-4881	122	18	coefficients	coefficient	NOUN
cana-4881	122	19	(	(	PUNCT
cana-4881	122	20	top	top	ADV
cana-4881	122	21	-	-	PUNCT
cana-4881	122	22	left	left	ADJ
cana-4881	122	23	corner	corner	NOUN
cana-4881	122	24	of	of	ADP
cana-4881	122	25	the	the	DET
cana-4881	122	26	transformed	transform	VERB
cana-4881	122	27	image	image	NOUN
cana-4881	122	28	)	)	PUNCT
cana-4881	123	1	[	[	X
cana-4881	123	2	17	17	NUM
cana-4881	123	3	]	]	PUNCT
cana-4881	123	4	.	.	PUNCT
cana-4881	124	1	feature	feature	NOUN
cana-4881	124	2	extraction	extraction	NOUN
cana-4881	124	3	typically	typically	ADV
cana-4881	124	4	involves	involve	VERB
cana-4881	124	5	selecting	select	VERB
cana-4881	124	6	only	only	ADV
cana-4881	124	7	a	a	DET
cana-4881	124	8	subset	subset	NOUN
cana-4881	124	9	of	of	ADP
cana-4881	124	10	these	these	DET
cana-4881	124	11	coefficients	coefficient	NOUN
cana-4881	124	12	,	,	PUNCT
cana-4881	124	13	usually	usually	ADV
cana-4881	124	14	based	base	VERB
cana-4881	124	15	on	on	ADP
cana-4881	124	16	their	their	PRON
cana-4881	124	17	position	position	NOUN
cana-4881	124	18	in	in	ADP
cana-4881	124	19	the	the	DET
cana-4881	124	20	frequency	frequency	NOUN
cana-4881	124	21	domain	domain	NOUN
cana-4881	124	22	.	.	PUNCT
cana-4881	125	1	in	in	ADP
cana-4881	125	2	this	this	DET
cana-4881	125	3	work	work	NOUN
cana-4881	125	4	dct	dct	PROPN
cana-4881	125	5	frequency	frequency	NOUN
cana-4881	125	6	feature	feature	NOUN
cana-4881	125	7	is	be	AUX
cana-4881	125	8	use	use	NOUN
cana-4881	125	9	.	.	PUNCT
cana-4881	126	1	dct	dct	PROPN
cana-4881	126	2	efficiently	efficiently	ADV
cana-4881	126	3	concentrates	concentrate	VERB
cana-4881	126	4	most	most	ADJ
cana-4881	126	5	of	of	ADP
cana-4881	126	6	the	the	DET
cana-4881	126	7	image	image	NOUN
cana-4881	126	8	energy	energy	NOUN
cana-4881	126	9	into	into	ADP
cana-4881	126	10	a	a	DET
cana-4881	126	11	small	small	ADJ
cana-4881	126	12	set	set	NOUN
cana-4881	126	13	of	of	ADP
cana-4881	126	14	coefficients	coefficient	NOUN
cana-4881	126	15	.	.	PUNCT
cana-4881	127	1	hence	hence	ADV
cana-4881	127	2	dct	dct	PROPN
cana-4881	127	3	coefficients	coefficient	NOUN
cana-4881	127	4	allows	allow	VERB
cana-4881	127	5	to	to	PART
cana-4881	127	6	understand	understand	VERB
cana-4881	127	7	the	the	DET
cana-4881	127	8	dominant	dominant	ADJ
cana-4881	127	9	frequencies	frequency	NOUN
cana-4881	127	10	present	present	ADJ
cana-4881	127	11	in	in	ADP
cana-4881	127	12	an	an	DET
cana-4881	127	13	image	image	NOUN
cana-4881	127	14	.	.	PUNCT
cana-4881	128	1	deep	deep	ADJ
cana-4881	128	2	learning	learn	VERB
cana-4881	128	3	convolutional	convolutional	ADJ
cana-4881	128	4	neural	neural	ADJ
cana-4881	128	5	network	network	NOUN
cana-4881	128	6	training	training	NOUN
cana-4881	128	7	takes	take	VERB
cana-4881	128	8	input	input	NOUN
cana-4881	128	9	of	of	ADP
cana-4881	128	10	dct	dct	PROPN
cana-4881	128	11	and	and	CCONJ
cana-4881	128	12	histogram	histogram	NOUN
cana-4881	128	13	feature	feature	NOUN
cana-4881	128	14	set	set	NOUN
cana-4881	128	15	of	of	ADP
cana-4881	128	16	each	each	DET
cana-4881	128	17	block	block	NOUN
cana-4881	128	18	.	.	PUNCT
cana-4881	129	1	as	as	SCONJ
cana-4881	129	2	image	image	NOUN
cana-4881	129	3	have	have	VERB
cana-4881	129	4	four	four	NUM
cana-4881	129	5	class	class	NOUN
cana-4881	129	6	label	label	NOUN
cana-4881	129	7	hence	hence	ADV
cana-4881	129	8	each	each	PRON
cana-4881	129	9	of	of	ADP
cana-4881	129	10	blocked	block	VERB
cana-4881	129	11	feature	feature	NOUN
cana-4881	129	12	set	set	VERB
cana-4881	129	13	is	be	AUX
cana-4881	129	14	flag	flag	NOUN
cana-4881	129	15	with	with	ADP
cana-4881	129	16	same	same	ADJ
cana-4881	129	17	label	label	NOUN
cana-4881	129	18	.	.	PUNCT
cana-4881	130	1	cnns	cnns	PROPN
cana-4881	130	2	are	be	AUX
cana-4881	130	3	designed	design	VERB
cana-4881	130	4	to	to	PART
cana-4881	130	5	utilize	utilize	VERB
cana-4881	130	6	image	image	NOUN
cana-4881	130	7	structural	structural	ADJ
cana-4881	130	8	information	information	NOUN
cana-4881	130	9	efficiently	efficiently	ADV
cana-4881	130	10	while	while	SCONJ
cana-4881	130	11	reusing	reuse	VERB
cana-4881	130	12	weight	weight	NOUN
cana-4881	130	13	parameters	parameter	NOUN
cana-4881	130	14	[	[	X
cana-4881	130	15	18	18	NUM
cana-4881	130	16	]	]	PUNCT
cana-4881	130	17	.	.	PUNCT
cana-4881	131	1	they	they	PRON
cana-4881	131	2	achieve	achieve	VERB
cana-4881	131	3	this	this	PRON
cana-4881	131	4	through	through	ADP
cana-4881	131	5	two	two	NUM
cana-4881	131	6	key	key	ADJ
cana-4881	131	7	operations	operation	NOUN
cana-4881	131	8	:	:	PUNCT
cana-4881	131	9	convolution	convolution	NOUN
cana-4881	131	10	and	and	CCONJ
cana-4881	131	11	pooling	pooling	NOUN
cana-4881	131	12	,	,	PUNCT
cana-4881	131	13	which	which	PRON
cana-4881	131	14	help	help	VERB
cana-4881	131	15	maintain	maintain	VERB
cana-4881	131	16	geometric	geometric	ADJ
cana-4881	131	17	transformation	transformation	NOUN
cana-4881	131	18	invariance	invariance	NOUN
cana-4881	131	19	in	in	ADP
cana-4881	131	20	image	image	NOUN
cana-4881	131	21	data	datum	NOUN
cana-4881	131	22	.	.	PUNCT
cana-4881	132	1	convolution	convolution	NOUN
cana-4881	132	2	operation	operation	NOUN
cana-4881	132	3	:	:	PUNCT
cana-4881	132	4	the	the	DET
cana-4881	132	5	convolution	convolution	NOUN
cana-4881	132	6	operation	operation	NOUN
cana-4881	132	7	extracts	extract	VERB
cana-4881	132	8	position	position	NOUN
cana-4881	132	9	-	-	PUNCT
cana-4881	132	10	invariant	invariant	ADJ
cana-4881	132	11	features	feature	NOUN
cana-4881	132	12	,	,	PUNCT
cana-4881	132	13	ensuring	ensure	VERB
cana-4881	132	14	that	that	SCONJ
cana-4881	132	15	an	an	DET
cana-4881	132	16	object	object	NOUN
cana-4881	132	17	(	(	PUNCT
cana-4881	132	18	e.g.	e.g.	ADV
cana-4881	132	19	,	,	PUNCT
cana-4881	132	20	a	a	DET
cana-4881	132	21	tumor	tumor	NOUN
cana-4881	132	22	)	)	PUNCT
cana-4881	132	23	is	be	AUX
cana-4881	132	24	recognized	recognize	VERB
cana-4881	132	25	regardless	regardless	ADV
cana-4881	132	26	of	of	ADP
cana-4881	132	27	its	its	PRON
cana-4881	132	28	location	location	NOUN
cana-4881	132	29	in	in	ADP
cana-4881	132	30	the	the	DET
cana-4881	132	31	image	image	NOUN
cana-4881	132	32	.	.	PUNCT
cana-4881	133	1	this	this	PRON
cana-4881	133	2	is	be	AUX
cana-4881	133	3	achieved	achieve	VERB
cana-4881	133	4	by	by	ADP
cana-4881	133	5	applying	apply	VERB
cana-4881	133	6	a	a	DET
cana-4881	133	7	small	small	ADJ
cana-4881	133	8	convolution	convolution	NOUN
cana-4881	133	9	filter	filter	NOUN
cana-4881	133	10	across	across	ADP
cana-4881	133	11	the	the	DET
cana-4881	133	12	2d	2d	NUM
cana-4881	133	13	input	input	NOUN
cana-4881	133	14	,	,	PUNCT
cana-4881	133	15	providing	provide	VERB
cana-4881	133	16	two	two	NUM
cana-4881	133	17	major	major	ADJ
cana-4881	133	18	benefits	benefit	NOUN
cana-4881	133	19	[	[	X
cana-4881	133	20	19	19	NUM
cana-4881	133	21	]	]	X
cana-4881	133	22	:	:	PUNCT
cana-4881	133	23	preserving	preserve	VERB
cana-4881	133	24	image	image	NOUN
cana-4881	133	25	structure	structure	NOUN
cana-4881	133	26	for	for	ADP
cana-4881	133	27	effective	effective	ADJ
cana-4881	133	28	feature	feature	NOUN
cana-4881	133	29	extraction	extraction	NOUN
cana-4881	133	30	.	.	PUNCT
cana-4881	134	1	parameter	parameter	NOUN
cana-4881	134	2	sharing	sharing	NOUN
cana-4881	134	3	,	,	PUNCT
cana-4881	134	4	which	which	PRON
cana-4881	134	5	reduces	reduce	VERB
cana-4881	134	6	the	the	DET
cana-4881	134	7	number	number	NOUN
cana-4881	134	8	of	of	ADP
cana-4881	134	9	free	free	ADJ
cana-4881	134	10	parameters	parameter	NOUN
cana-4881	134	11	,	,	PUNCT
cana-4881	134	12	making	make	VERB
cana-4881	134	13	the	the	DET
cana-4881	134	14	network	network	NOUN
cana-4881	134	15	easier	easy	ADJ
cana-4881	134	16	to	to	PART
cana-4881	134	17	train	train	VERB
cana-4881	134	18	and	and	CCONJ
cana-4881	134	19	less	less	ADV
cana-4881	134	20	prone	prone	ADJ
cana-4881	134	21	to	to	ADP
cana-4881	134	22	overfitting	overfitte	VERB
cana-4881	134	23	.	.	PUNCT
cana-4881	135	1	stride	stride	NOUN
cana-4881	135	2	s	s	NOUN
cana-4881	135	3	and	and	CCONJ
cana-4881	135	4	padding	padding	NOUN
cana-4881	135	5	p	p	PROPN
cana-4881	135	6	control	control	NOUN
cana-4881	135	7	the	the	DET
cana-4881	135	8	movement	movement	NOUN
cana-4881	135	9	and	and	CCONJ
cana-4881	135	10	dimension	dimension	NOUN
cana-4881	135	11	adjustments	adjustment	NOUN
cana-4881	135	12	in	in	ADP
cana-4881	135	13	convolution	convolution	NOUN
cana-4881	135	14	operations	operation	NOUN
cana-4881	135	15	.	.	PUNCT
cana-4881	136	1	max	max	PROPN
cana-4881	136	2	-	-	PUNCT
cana-4881	136	3	pooling	pool	VERB
cana-4881	136	4	operation	operation	NOUN
cana-4881	136	5	:	:	PUNCT
cana-4881	136	6	pooling	pooling	NOUN
cana-4881	136	7	helps	help	VERB
cana-4881	136	8	increase	increase	VERB
cana-4881	136	9	the	the	DET
cana-4881	136	10	receptive	receptive	ADJ
cana-4881	136	11	field	field	NOUN
cana-4881	136	12	of	of	ADP
cana-4881	136	13	feature	feature	NOUN
cana-4881	136	14	maps	map	NOUN
cana-4881	136	15	to	to	PART
cana-4881	136	16	handle	handle	VERB
cana-4881	136	17	objects	object	NOUN
cana-4881	136	18	of	of	ADP
cana-4881	136	19	varying	vary	VERB
cana-4881	136	20	sizes	size	NOUN
cana-4881	136	21	.	.	PUNCT
cana-4881	137	1	since	since	SCONJ
cana-4881	137	2	stacking	stack	VERB
cana-4881	137	3	multiple	multiple	ADJ
cana-4881	137	4	convolutions	convolution	NOUN
cana-4881	137	5	is	be	AUX
cana-4881	137	6	inefficient	inefficient	ADJ
cana-4881	137	7	for	for	ADP
cana-4881	137	8	large	large	ADJ
cana-4881	137	9	receptive	receptive	ADJ
cana-4881	137	10	fields	field	NOUN
cana-4881	137	11	,	,	PUNCT
cana-4881	137	12	downsampling	downsample	VERB
cana-4881	137	13	using	use	VERB
cana-4881	137	14	max	max	PROPN
cana-4881	137	15	-	-	PUNCT
cana-4881	137	16	pooling	pool	VERB
cana-4881	137	17	or	or	CCONJ
cana-4881	137	18	average	average	ADJ
cana-4881	137	19	pooling	pooling	NOUN
cana-4881	137	20	is	be	AUX
cana-4881	137	21	used	use	VERB
cana-4881	137	22	.	.	PUNCT
cana-4881	138	1	pooling	pool	VERB
cana-4881	138	2	reduces	reduce	VERB
cana-4881	138	3	spatial	spatial	ADJ
cana-4881	138	4	dimensions	dimension	NOUN
cana-4881	138	5	while	while	SCONJ
cana-4881	138	6	retaining	retain	VERB
cana-4881	138	7	critical	critical	ADJ
cana-4881	138	8	features	feature	NOUN
cana-4881	138	9	,	,	PUNCT
cana-4881	138	10	improving	improve	VERB
cana-4881	138	11	efficiency	efficiency	NOUN
cana-4881	138	12	in	in	ADP
cana-4881	138	13	learning	learn	VERB
cana-4881	138	14	high	high	ADJ
cana-4881	138	15	-	-	PUNCT
cana-4881	138	16	level	level	NOUN
cana-4881	138	17	representations	representation	NOUN
cana-4881	138	18	.	.	PUNCT
cana-4881	139	1	communications	communication	NOUN
cana-4881	139	2	on	on	ADP
cana-4881	139	3	applied	apply	VERB
cana-4881	139	4	nonlinear	nonlinear	ADJ
cana-4881	139	5	analysis	analysis	NOUN
cana-4881	139	6	issn	issn	NOUN
cana-4881	139	7	:	:	PUNCT
cana-4881	139	8	1074	1074	NUM
cana-4881	139	9	-	-	PUNCT
cana-4881	139	10	133x	133x	NUM
cana-4881	139	11	vol	vol	VERB
cana-4881	139	12	32	32	NUM
cana-4881	139	13	no	no	NOUN
cana-4881	139	14	.	.	PUNCT
cana-4881	140	1	10s	10	NOUN
cana-4881	140	2	(	(	PUNCT
cana-4881	140	3	2025	2025	NUM
cana-4881	140	4	)	)	PUNCT
cana-4881	140	5	859	859	NUM
cana-4881	140	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4881	140	7	fully	fully	ADV
cana-4881	140	8	convolutional	convolutional	ADJ
cana-4881	140	9	networks	network	NOUN
cana-4881	140	10	(	(	PUNCT
cana-4881	140	11	fcns	fcns	NOUN
cana-4881	140	12	):	):	PUNCT
cana-4881	140	13	fcns	fcns	NOUN
cana-4881	140	14	extend	extend	NOUN
cana-4881	140	15	cnns	cnn	NOUN
cana-4881	140	16	for	for	ADP
cana-4881	140	17	per	per	ADP
cana-4881	140	18	-	-	PUNCT
cana-4881	140	19	pixel	pixel	NOUN
cana-4881	140	20	classification	classification	NOUN
cana-4881	140	21	,	,	PUNCT
cana-4881	140	22	directly	directly	ADV
cana-4881	140	23	segmenting	segment	VERB
cana-4881	140	24	entire	entire	ADJ
cana-4881	140	25	input	input	NOUN
cana-4881	140	26	images	image	NOUN
cana-4881	140	27	instead	instead	ADV
cana-4881	140	28	of	of	ADP
cana-4881	140	29	classifying	classify	VERB
cana-4881	140	30	individual	individual	ADJ
cana-4881	140	31	pixels	pixel	NOUN
cana-4881	140	32	.	.	PUNCT
cana-4881	141	1	they	they	PRON
cana-4881	141	2	maintain	maintain	VERB
cana-4881	141	3	image	image	NOUN
cana-4881	141	4	structure	structure	NOUN
cana-4881	141	5	across	across	ADP
cana-4881	141	6	hidden	hidden	ADJ
cana-4881	141	7	layers	layer	NOUN
cana-4881	141	8	and	and	CCONJ
cana-4881	141	9	utilize	utilize	VERB
cana-4881	141	10	convolutional	convolutional	ADJ
cana-4881	141	11	feature	feature	NOUN
cana-4881	141	12	maps	map	NOUN
cana-4881	141	13	as	as	ADP
cana-4881	141	14	inputs	input	NOUN
cana-4881	141	15	for	for	ADP
cana-4881	141	16	segmentation	segmentation	NOUN
cana-4881	141	17	tasks	task	NOUN
cana-4881	141	18	,	,	PUNCT
cana-4881	141	19	such	such	ADJ
cana-4881	141	20	as	as	ADP
cana-4881	141	21	tumor	tumor	NOUN
cana-4881	141	22	detection	detection	NOUN
cana-4881	141	23	in	in	ADP
cana-4881	141	24	medical	medical	ADJ
cana-4881	141	25	imaging	imaging	NOUN
cana-4881	141	26	.	.	PUNCT
cana-4881	142	1	fcns	fcns	PROPN
cana-4881	142	2	enable	enable	VERB
cana-4881	142	3	end	end	NOUN
cana-4881	142	4	-	-	PUNCT
cana-4881	142	5	to	to	ADP
cana-4881	142	6	-	-	PUNCT
cana-4881	142	7	end	end	NOUN
cana-4881	142	8	learning	learning	NOUN
cana-4881	142	9	without	without	ADP
cana-4881	142	10	fully	fully	ADV
cana-4881	142	11	connected	connected	ADJ
cana-4881	142	12	layers	layer	NOUN
cana-4881	142	13	,	,	PUNCT
cana-4881	142	14	making	make	VERB
cana-4881	142	15	them	they	PRON
cana-4881	142	16	efficient	efficient	ADJ
cana-4881	142	17	for	for	ADP
cana-4881	142	18	dense	dense	ADJ
cana-4881	142	19	predictions	prediction	NOUN
cana-4881	142	20	.	.	PUNCT
cana-4881	143	1	iv	iv	X
cana-4881	143	2	.	.	PUNCT
cana-4881	143	3	experiment	experiment	NOUN
cana-4881	143	4	and	and	CCONJ
cana-4881	143	5	results	result	VERB
cana-4881	143	6	experimental	experimental	ADJ
cana-4881	143	7	setup	setup	NOUN
cana-4881	143	8	:	:	PUNCT
cana-4881	143	9	implementation	implementation	NOUN
cana-4881	143	10	of	of	ADP
cana-4881	143	11	proposed	propose	VERB
cana-4881	143	12	model	model	NOUN
cana-4881	143	13	is	be	AUX
cana-4881	143	14	done	do	VERB
cana-4881	143	15	on	on	ADP
cana-4881	143	16	matlab	matlab	PROPN
cana-4881	143	17	software	software	NOUN
cana-4881	143	18	2016a	2016a	NOUN
cana-4881	143	19	.	.	PUNCT
cana-4881	144	1	experiment	experiment	NOUN
cana-4881	144	2	is	be	AUX
cana-4881	144	3	performed	perform	VERB
cana-4881	144	4	on	on	ADP
cana-4881	144	5	machine	machine	NOUN
cana-4881	144	6	having	have	VERB
cana-4881	144	7	configuration	configuration	NOUN
cana-4881	144	8	of	of	ADP
cana-4881	144	9	4	4	NUM
cana-4881	144	10	gb	gb	NOUN
cana-4881	144	11	ram	ram	NOUN
cana-4881	144	12	,	,	PUNCT
cana-4881	144	13	i3	i3	NOUN
cana-4881	144	14	6th	6th	NOUN
cana-4881	144	15	generation	generation	NOUN
cana-4881	144	16	processor	processor	NOUN
cana-4881	144	17	.	.	PUNCT
cana-4881	145	1	further	further	ADJ
cana-4881	145	2	validation	validation	NOUN
cana-4881	145	3	of	of	ADP
cana-4881	145	4	model	model	NOUN
cana-4881	145	5	is	be	AUX
cana-4881	145	6	done	do	VERB
cana-4881	145	7	by	by	ADP
cana-4881	145	8	comparing	compare	VERB
cana-4881	145	9	proposed	propose	VERB
cana-4881	145	10	model	model	NOUN
cana-4881	145	11	with	with	ADP
cana-4881	145	12	nsl	nsl	PROPN
cana-4881	145	13	-	-	PUNCT
cana-4881	145	14	mha	mha	PROPN
cana-4881	145	15	-	-	PUNCT
cana-4881	145	16	cnn	cnn	PROPN
cana-4881	145	17	techniques	technique	NOUN
cana-4881	145	18	proposed	propose	VERB
cana-4881	145	19	in	in	ADP
cana-4881	145	20	[	[	X
cana-4881	145	21	20	20	NUM
cana-4881	145	22	]	]	PUNCT
cana-4881	145	23	.	.	PUNCT
cana-4881	146	1	dataset	dataset	PROPN
cana-4881	146	2	:	:	PUNCT
cana-4881	146	3	proposed	propose	VERB
cana-4881	146	4	work	work	NOUN
cana-4881	146	5	experimental	experimental	ADJ
cana-4881	146	6	values	value	NOUN
cana-4881	146	7	are	be	AUX
cana-4881	146	8	obtained	obtain	VERB
cana-4881	146	9	from	from	ADP
cana-4881	146	10	real	real	ADJ
cana-4881	146	11	dataset	dataset	NOUN
cana-4881	146	12	.	.	PUNCT
cana-4881	147	1	explanations	explanation	NOUN
cana-4881	147	2	of	of	ADP
cana-4881	147	3	dataset	dataset	NOUN
cana-4881	147	4	with	with	ADP
cana-4881	147	5	detailed	detailed	ADJ
cana-4881	147	6	features	feature	NOUN
cana-4881	147	7	are	be	AUX
cana-4881	147	8	shown	show	VERB
cana-4881	147	9	in	in	ADP
cana-4881	147	10	table	table	NOUN
cana-4881	147	11	2	2	NUM
cana-4881	147	12	[	[	X
cana-4881	147	13	21	21	NUM
cana-4881	147	14	]	]	PUNCT
cana-4881	147	15	.	.	PUNCT
cana-4881	148	1	table	table	NOUN
cana-4881	148	2	2	2	NUM
cana-4881	148	3	diabetic	diabetic	ADJ
cana-4881	148	4	retinopathy	retinopathy	ADJ
cana-4881	148	5	dataset	dataset	NOUN
cana-4881	148	6	.	.	PUNCT
cana-4881	149	1	dataset	dataset	ADJ
cana-4881	149	2	feature	feature	NOUN
cana-4881	149	3	values	value	NOUN
cana-4881	149	4	class	class	NOUN
cana-4881	149	5	5	5	NUM
cana-4881	149	6	total	total	ADJ
cana-4881	149	7	images	image	NOUN
cana-4881	149	8	2750	2750	NUM
cana-4881	149	9	size	size	NOUN
cana-4881	149	10	256x256	256x256	PROPN
cana-4881	149	11	format	format	NOUN
cana-4881	149	12	gray	gray	ADJ
cana-4881	149	13	table	table	NOUN
cana-4881	149	14	3	3	NUM
cana-4881	149	15	dataset	dataset	NOUN
cana-4881	149	16	of	of	ADP
cana-4881	149	17	diabetic	diabetic	ADJ
cana-4881	149	18	retinopathy	retinopathy	ADJ
cana-4881	149	19	images	image	NOUN
cana-4881	149	20	.	.	PUNCT
cana-4881	150	1	images	image	NOUN
cana-4881	150	2	class	class	NOUN
cana-4881	150	3	healthy	healthy	ADJ
cana-4881	150	4	mild	mild	ADJ
cana-4881	150	5	dr	dr	PROPN
cana-4881	150	6	moderate	moderate	PROPN
cana-4881	150	7	dr	dr	PROPN
cana-4881	150	8	communications	communication	NOUN
cana-4881	150	9	on	on	ADP
cana-4881	150	10	applied	apply	VERB
cana-4881	150	11	nonlinear	nonlinear	ADJ
cana-4881	150	12	analysis	analysis	NOUN
cana-4881	150	13	issn	issn	NOUN
cana-4881	150	14	:	:	PUNCT
cana-4881	150	15	1074	1074	NUM
cana-4881	150	16	-	-	PUNCT
cana-4881	150	17	133x	133x	NUM
cana-4881	150	18	vol	vol	VERB
cana-4881	150	19	32	32	NUM
cana-4881	150	20	no	no	NOUN
cana-4881	150	21	.	.	PUNCT
cana-4881	151	1	10s	10	NOUN
cana-4881	151	2	(	(	PUNCT
cana-4881	151	3	2025	2025	NUM
cana-4881	151	4	)	)	PUNCT
cana-4881	151	5	860	860	NUM
cana-4881	151	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4881	151	7	poliferate	poliferate	PROPN
cana-4881	151	8	dr	dr	PROPN
cana-4881	151	9	severe	severe	PROPN
cana-4881	151	10	dr	dr	PROPN
cana-4881	151	11	results	result	NOUN
cana-4881	151	12	table	table	VERB
cana-4881	151	13	4	4	NUM
cana-4881	151	14	precision	precision	NOUN
cana-4881	151	15	value	value	NOUN
cana-4881	151	16	of	of	ADP
cana-4881	151	17	retinopathy	retinopathy	ADJ
cana-4881	151	18	image	image	NOUN
cana-4881	151	19	class	class	NOUN
cana-4881	151	20	detection	detection	NOUN
cana-4881	151	21	models	model	NOUN
cana-4881	151	22	.	.	PUNCT
cana-4881	152	1	image	image	NOUN
cana-4881	152	2	sets	set	VERB
cana-4881	152	3	nsl	nsl	NOUN
cana-4881	152	4	-	-	PUNCT
cana-4881	152	5	mhacnn	mhacnn	NOUN
cana-4881	152	6	drdloflm	drdloflm	NOUN
cana-4881	152	7	100	100	NUM
cana-4881	152	8	0.6364	0.6364	NUM
cana-4881	152	9	0.6362	0.6362	NUM
cana-4881	152	10	150	150	NUM
cana-4881	152	11	0.56	0.56	NUM
cana-4881	152	12	0.6798	0.6798	NUM
cana-4881	152	13	200	200	NUM
cana-4881	152	14	0.5714	0.5714	NUM
cana-4881	152	15	0.7141	0.7141	NUM
cana-4881	152	16	300	300	NUM
cana-4881	152	17	0.5738	0.5738	NUM
cana-4881	152	18	0.7376	0.7376	NUM
cana-4881	152	19	400	400	NUM
cana-4881	152	20	0.5309	0.5309	NUM
cana-4881	152	21	0.7042	0.7042	NUM
cana-4881	152	22	table	table	NOUN
cana-4881	152	23	4	4	NUM
cana-4881	152	24	shows	show	VERB
cana-4881	152	25	the	the	DET
cana-4881	152	26	retinopathy	retinopathy	ADJ
cana-4881	152	27	precision	precision	NOUN
cana-4881	152	28	value	value	NOUN
cana-4881	152	29	of	of	ADP
cana-4881	152	30	drdloflm	drdloflm	NOUN
cana-4881	152	31	for	for	ADP
cana-4881	152	32	different	different	ADJ
cana-4881	152	33	testing	testing	NOUN
cana-4881	152	34	dataset	dataset	NOUN
cana-4881	152	35	.	.	PUNCT
cana-4881	153	1	it	it	PRON
cana-4881	153	2	was	be	AUX
cana-4881	153	3	found	find	VERB
cana-4881	153	4	that	that	SCONJ
cana-4881	153	5	use	use	NOUN
cana-4881	153	6	of	of	ADP
cana-4881	153	7	moth	moth	ADJ
cana-4881	153	8	flame	flame	NOUN
cana-4881	153	9	optimization	optimization	NOUN
cana-4881	153	10	algorithm	algorithm	NOUN
cana-4881	153	11	has	have	AUX
cana-4881	153	12	remove	remove	VERB
cana-4881	153	13	the	the	DET
cana-4881	153	14	low	low	ADJ
cana-4881	153	15	informative	informative	ADJ
cana-4881	153	16	image	image	NOUN
cana-4881	153	17	portion	portion	NOUN
cana-4881	153	18	.	.	PUNCT
cana-4881	154	1	further	further	ADJ
cana-4881	154	2	paper	paper	NOUN
cana-4881	154	3	has	have	AUX
cana-4881	154	4	enhanced	enhance	VERB
cana-4881	154	5	the	the	DET
cana-4881	154	6	precision	precision	NOUN
cana-4881	154	7	value	value	NOUN
cana-4881	154	8	by	by	ADP
cana-4881	154	9	17.26	17.26	NUM
cana-4881	154	10	%	%	NOUN
cana-4881	154	11	as	as	ADP
cana-4881	154	12	compared	compare	VERB
cana-4881	154	13	to	to	ADP
cana-4881	154	14	existing	exist	VERB
cana-4881	154	15	model	model	NOUN
cana-4881	154	16	.	.	PUNCT
cana-4881	155	1	table	table	NOUN
cana-4881	155	2	5	5	NUM
cana-4881	155	3	recall	recall	NOUN
cana-4881	155	4	value	value	NOUN
cana-4881	155	5	of	of	ADP
cana-4881	155	6	retinopathy	retinopathy	ADJ
cana-4881	155	7	image	image	NOUN
cana-4881	155	8	class	class	NOUN
cana-4881	155	9	detection	detection	NOUN
cana-4881	155	10	models	model	NOUN
cana-4881	155	11	.	.	PUNCT
cana-4881	156	1	image	image	NOUN
cana-4881	156	2	sets	set	VERB
cana-4881	156	3	nsl	nsl	NOUN
cana-4881	156	4	-	-	PUNCT
cana-4881	156	5	mhacnn	mhacnn	NOUN
cana-4881	156	6	drdloflm	drdloflm	NOUN
cana-4881	156	7	100	100	NUM
cana-4881	156	8	0.875	0.875	NUM
cana-4881	156	9	0.9333	0.9333	NUM
cana-4881	156	10	150	150	NUM
cana-4881	156	11	0.875	0.875	NUM
cana-4881	156	12	0.8947	0.8947	NUM
cana-4881	156	13	200	200	NUM
cana-4881	156	14	0.8889	0.8889	NUM
cana-4881	156	15	0.9524	0.9524	NUM
cana-4881	156	16	300	300	NUM
cana-4881	156	17	0.8333	0.8333	NUM
cana-4881	156	18	0.8654	0.8654	NUM
cana-4881	156	19	400	400	NUM
cana-4881	156	20	0.8431	0.8431	NUM
cana-4881	156	21	0.7809	0.7809	NUM
cana-4881	156	22	retinopathy	retinopathy	ADJ
cana-4881	156	23	classification	classification	NOUN
cana-4881	156	24	models	model	NOUN
cana-4881	156	25	recall	recall	VERB
cana-4881	156	26	values	value	NOUN
cana-4881	156	27	shown	show	VERB
cana-4881	156	28	in	in	ADP
cana-4881	156	29	table	table	NOUN
cana-4881	156	30	5	5	NUM
cana-4881	156	31	.	.	PUNCT
cana-4881	156	32	proposed	propose	VERB
cana-4881	156	33	model	model	NOUN
cana-4881	156	34	drdloflm	drdloflm	NOUN
cana-4881	156	35	has	have	AUX
cana-4881	156	36	shown	show	VERB
cana-4881	156	37	that	that	SCONJ
cana-4881	156	38	use	use	NOUN
cana-4881	156	39	of	of	ADP
cana-4881	156	40	block	block	NOUN
cana-4881	156	41	based	base	VERB
cana-4881	156	42	feature	feature	NOUN
cana-4881	156	43	extraction	extraction	NOUN
cana-4881	156	44	and	and	CCONJ
cana-4881	156	45	training	training	NOUN
cana-4881	156	46	has	have	AUX
cana-4881	156	47	increased	increase	VERB
cana-4881	156	48	the	the	DET
cana-4881	156	49	work	work	NOUN
cana-4881	156	50	efficiency	efficiency	NOUN
cana-4881	156	51	.	.	PUNCT
cana-4881	157	1	communications	communication	NOUN
cana-4881	157	2	on	on	ADP
cana-4881	157	3	applied	apply	VERB
cana-4881	157	4	nonlinear	nonlinear	ADJ
cana-4881	157	5	analysis	analysis	NOUN
cana-4881	157	6	issn	issn	NOUN
cana-4881	157	7	:	:	PUNCT
cana-4881	157	8	1074	1074	NUM
cana-4881	157	9	-	-	PUNCT
cana-4881	157	10	133x	133x	NUM
cana-4881	157	11	vol	vol	VERB
cana-4881	157	12	32	32	NUM
cana-4881	157	13	no	no	NOUN
cana-4881	157	14	.	.	PUNCT
cana-4881	158	1	10s	10	NOUN
cana-4881	158	2	(	(	PUNCT
cana-4881	158	3	2025	2025	NUM
cana-4881	158	4	)	)	PUNCT
cana-4881	158	5	861	861	NUM
cana-4881	158	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4881	158	7	average	average	ADJ
cana-4881	158	8	drdloflm	drdloflm	NOUN
cana-4881	158	9	model	model	NOUN
cana-4881	158	10	has	have	AUX
cana-4881	158	11	improved	improve	VERB
cana-4881	158	12	the	the	DET
cana-4881	158	13	recall	recall	NOUN
cana-4881	158	14	values	value	NOUN
cana-4881	158	15	by	by	ADP
cana-4881	158	16	2.516	2.516	NUM
cana-4881	158	17	%	%	NOUN
cana-4881	158	18	as	as	ADP
cana-4881	158	19	compared	compare	VERB
cana-4881	158	20	to	to	ADP
cana-4881	158	21	nsl	nsl	NOUN
cana-4881	158	22	-	-	PUNCT
cana-4881	158	23	mhacnn	mhacnn	PROPN
cana-4881	158	24	.	.	PUNCT
cana-4881	159	1	table	table	NOUN
cana-4881	159	2	6	6	NUM
cana-4881	159	3	f	f	NUM
cana-4881	159	4	-	-	PUNCT
cana-4881	159	5	measure	measure	NOUN
cana-4881	159	6	value	value	NOUN
cana-4881	159	7	of	of	ADP
cana-4881	159	8	retinopathy	retinopathy	ADJ
cana-4881	159	9	image	image	NOUN
cana-4881	159	10	class	class	NOUN
cana-4881	159	11	detection	detection	NOUN
cana-4881	159	12	models	model	NOUN
cana-4881	159	13	.	.	PUNCT
cana-4881	160	1	image	image	NOUN
cana-4881	160	2	sets	set	VERB
cana-4881	160	3	nsl	nsl	NOUN
cana-4881	160	4	-	-	PUNCT
cana-4881	160	5	mhacnn	mhacnn	NOUN
cana-4881	160	6	drdloflm	drdloflm	NOUN
cana-4881	160	7	100	100	NUM
cana-4881	160	8	0.7368	0.7368	NUM
cana-4881	161	1	0.7566	0.7566	NUM
cana-4881	161	2	150	150	NUM
cana-4881	161	3	0.6829	0.6829	NUM
cana-4881	161	4	0.7726	0.7726	NUM
cana-4881	161	5	200	200	NUM
cana-4881	161	6	0.6957	0.6957	NUM
cana-4881	161	7	0.8162	0.8162	NUM
cana-4881	161	8	300	300	NUM
cana-4881	161	9	0.6796	0.6796	NUM
cana-4881	161	10	0.7964	0.7964	NUM
cana-4881	161	11	400	400	NUM
cana-4881	161	12	0.6515	0.6515	NUM
cana-4881	161	13	0.7406	0.7406	NUM
cana-4881	161	14	f	f	NUM
cana-4881	161	15	-	-	PUNCT
cana-4881	161	16	measure	measure	NOUN
cana-4881	161	17	values	value	NOUN
cana-4881	161	18	of	of	ADP
cana-4881	161	19	retinopathy	retinopathy	ADJ
cana-4881	161	20	image	image	NOUN
cana-4881	161	21	classification	classification	NOUN
cana-4881	161	22	models	model	NOUN
cana-4881	161	23	shown	show	VERB
cana-4881	161	24	in	in	ADP
cana-4881	161	25	table	table	NOUN
cana-4881	161	26	6	6	NUM
cana-4881	161	27	.	.	PUNCT
cana-4881	162	1	use	use	NOUN
cana-4881	162	2	of	of	ADP
cana-4881	162	3	histogram	histogram	NOUN
cana-4881	162	4	and	and	CCONJ
cana-4881	162	5	dct	dct	PROPN
cana-4881	162	6	feature	feature	NOUN
cana-4881	162	7	has	have	AUX
cana-4881	162	8	increased	increase	VERB
cana-4881	162	9	the	the	DET
cana-4881	162	10	testing	testing	NOUN
cana-4881	162	11	efficiency	efficiency	NOUN
cana-4881	162	12	.	.	PUNCT
cana-4881	163	1	further	far	ADV
cana-4881	163	2	it	it	PRON
cana-4881	163	3	was	be	AUX
cana-4881	163	4	found	find	VERB
cana-4881	163	5	that	that	SCONJ
cana-4881	163	6	frog	frog	ADJ
cana-4881	163	7	leaping	leap	VERB
cana-4881	163	8	genetic	genetic	ADJ
cana-4881	163	9	algorithm	algorithm	NOUN
cana-4881	163	10	has	have	AUX
cana-4881	163	11	increased	increase	VERB
cana-4881	163	12	the	the	DET
cana-4881	163	13	work	work	NOUN
cana-4881	163	14	f	f	NOUN
cana-4881	163	15	-	-	PUNCT
cana-4881	163	16	measure	measure	NOUN
cana-4881	163	17	value	value	NOUN
cana-4881	163	18	by	by	ADP
cana-4881	163	19	11.22	11.22	NUM
cana-4881	163	20	%	%	NOUN
cana-4881	163	21	.	.	PUNCT
cana-4881	164	1	table	table	NOUN
cana-4881	164	2	7	7	NUM
cana-4881	164	3	accuracy	accuracy	NOUN
cana-4881	164	4	value	value	NOUN
cana-4881	164	5	of	of	ADP
cana-4881	164	6	retinopathy	retinopathy	ADJ
cana-4881	164	7	image	image	NOUN
cana-4881	164	8	class	class	NOUN
cana-4881	164	9	detection	detection	NOUN
cana-4881	164	10	models	model	NOUN
cana-4881	164	11	.	.	PUNCT
cana-4881	165	1	image	image	NOUN
cana-4881	165	2	sets	set	VERB
cana-4881	165	3	nsl	nsl	NOUN
cana-4881	165	4	-	-	PUNCT
cana-4881	165	5	mhacnn	mhacnn	NOUN
cana-4881	165	6	drdloflm	drdloflm	VERB
cana-4881	165	7	100	100	NUM
cana-4881	165	8	90.4762	90.4762	NUM
cana-4881	165	9	91.5845	91.5845	NUM
cana-4881	165	10	150	150	NUM
cana-4881	165	11	89.4309	89.4309	NUM
cana-4881	165	12	91.9964	91.9964	NUM
cana-4881	165	13	200	200	NUM
cana-4881	165	14	90.7285	90.7285	NUM
cana-4881	165	15	94.1148	94.1148	NUM
cana-4881	165	16	300	300	NUM
cana-4881	165	17	89.1089	89.1089	NUM
cana-4881	165	18	92.4575	92.4575	NUM
cana-4881	165	19	400	400	NUM
cana-4881	165	20	88.8078	88.8078	NUM
cana-4881	165	21	90.324	90.324	NUM
cana-4881	165	22	accuracy	accuracy	NOUN
cana-4881	165	23	value	value	NOUN
cana-4881	165	24	of	of	ADP
cana-4881	165	25	table	table	NOUN
cana-4881	165	26	7	7	NUM
cana-4881	165	27	shows	show	VERB
cana-4881	165	28	that	that	SCONJ
cana-4881	165	29	drdloflm	drdloflm	ADJ
cana-4881	165	30	model	model	NOUN
cana-4881	165	31	has	have	AUX
cana-4881	165	32	more	more	ADV
cana-4881	165	33	efficiently	efficiently	ADV
cana-4881	165	34	classify	classify	VERB
cana-4881	165	35	the	the	DET
cana-4881	165	36	retinopathy	retinopathy	ADJ
cana-4881	165	37	images	image	NOUN
cana-4881	165	38	as	as	SCONJ
cana-4881	165	39	compared	compare	VERB
cana-4881	165	40	to	to	ADP
cana-4881	165	41	existing	exist	VERB
cana-4881	165	42	model	model	NOUN
cana-4881	165	43	[	[	X
cana-4881	165	44	20	20	NUM
cana-4881	165	45	]	]	PUNCT
cana-4881	165	46	.	.	PUNCT
cana-4881	166	1	table	table	NOUN
cana-4881	166	2	7	7	NUM
cana-4881	166	3	shows	show	VERB
cana-4881	166	4	that	that	SCONJ
cana-4881	166	5	use	use	NOUN
cana-4881	166	6	of	of	ADP
cana-4881	166	7	image	image	NOUN
cana-4881	166	8	segmentation	segmentation	NOUN
cana-4881	166	9	for	for	ADP
cana-4881	166	10	feature	feature	NOUN
cana-4881	166	11	selection	selection	NOUN
cana-4881	166	12	has	have	AUX
cana-4881	166	13	increase	increase	VERB
cana-4881	166	14	the	the	DET
cana-4881	166	15	learning	learning	NOUN
cana-4881	166	16	accuracy	accuracy	NOUN
cana-4881	166	17	of	of	ADP
cana-4881	166	18	work	work	NOUN
cana-4881	166	19	.	.	PUNCT
cana-4881	167	1	table	table	NOUN
cana-4881	167	2	8	8	NUM
cana-4881	167	3	precision	precision	NOUN
cana-4881	167	4	value	value	NOUN
cana-4881	167	5	of	of	ADP
cana-4881	167	6	retinopathy	retinopathy	ADJ
cana-4881	167	7	image	image	NOUN
cana-4881	167	8	class	class	NOUN
cana-4881	167	9	detection	detection	NOUN
cana-4881	167	10	models	model	NOUN
cana-4881	167	11	.	.	PUNCT
cana-4881	168	1	image	image	NOUN
cana-4881	168	2	sets	set	VERB
cana-4881	168	3	nsl	nsl	NOUN
cana-4881	168	4	-	-	PUNCT
cana-4881	168	5	mhacnn	mhacnn	NOUN
cana-4881	168	6	drdloflm	drdloflm	PROPN
cana-4881	168	7	100	100	NUM
cana-4881	168	8	0.1905	0.1905	NUM
cana-4881	168	9	0.5714	0.5714	NUM
cana-4881	168	10	150	150	NUM
cana-4881	168	11	0.2	0.2	NUM
cana-4881	168	12	0.64	0.64	NUM
cana-4881	168	13	200	200	NUM
cana-4881	168	14	0.2	0.2	NUM
cana-4881	168	15	0.7	0.7	NUM
cana-4881	168	16	communications	communication	NOUN
cana-4881	168	17	on	on	ADP
cana-4881	168	18	applied	apply	VERB
cana-4881	168	19	nonlinear	nonlinear	ADJ
cana-4881	168	20	analysis	analysis	NOUN
cana-4881	168	21	issn	issn	NOUN
cana-4881	168	22	:	:	PUNCT
cana-4881	168	23	1074	1074	NUM
cana-4881	168	24	-	-	PUNCT
cana-4881	168	25	133x	133x	NUM
cana-4881	168	26	vol	vol	VERB
cana-4881	168	27	32	32	NUM
cana-4881	168	28	no	no	NOUN
cana-4881	168	29	.	.	PUNCT
cana-4881	169	1	10s	10	NOUN
cana-4881	169	2	(	(	PUNCT
cana-4881	169	3	2025	2025	NUM
cana-4881	169	4	)	)	PUNCT
cana-4881	169	5	862	862	NUM
cana-4881	169	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4881	169	7	300	300	NUM
cana-4881	169	8	0.1475	0.1475	NUM
cana-4881	169	9	0.6885	0.6885	NUM
cana-4881	169	10	400	400	NUM
cana-4881	169	11	0.1529	0.1529	NUM
cana-4881	169	12	0.5294	0.5294	NUM
cana-4881	169	13	table	table	NOUN
cana-4881	169	14	9	9	NUM
cana-4881	169	15	precision	precision	NOUN
cana-4881	169	16	value	value	NOUN
cana-4881	169	17	of	of	ADP
cana-4881	169	18	retinopathy	retinopathy	ADJ
cana-4881	169	19	image	image	NOUN
cana-4881	169	20	class	class	NOUN
cana-4881	169	21	detection	detection	NOUN
cana-4881	169	22	models	model	NOUN
cana-4881	169	23	.	.	PUNCT
cana-4881	170	1	image	image	NOUN
cana-4881	170	2	sets	set	VERB
cana-4881	170	3	nsl	nsl	NOUN
cana-4881	170	4	-	-	PUNCT
cana-4881	170	5	mhacnn	mhacnn	NOUN
cana-4881	170	6	drdloflm	drdloflm	NOUN
cana-4881	170	7	100	100	NUM
cana-4881	170	8	0.55	0.55	NUM
cana-4881	170	9	0.5	0.5	NUM
cana-4881	170	10	150	150	NUM
cana-4881	170	11	0.56	0.56	NUM
cana-4881	170	12	0.6	0.6	NUM
cana-4881	170	13	200	200	NUM
cana-4881	170	14	0.6333	0.6333	NUM
cana-4881	170	15	0.6667	0.6667	NUM
cana-4881	170	16	300	300	NUM
cana-4881	170	17	0.6393	0.6393	NUM
cana-4881	170	18	0.6393	0.6393	NUM
cana-4881	170	19	400	400	NUM
cana-4881	170	20	0.6118	0.6118	NUM
cana-4881	170	21	0.5176	0.5176	NUM
cana-4881	170	22	table	table	NOUN
cana-4881	170	23	10	10	NUM
cana-4881	170	24	precision	precision	NOUN
cana-4881	170	25	value	value	NOUN
cana-4881	170	26	of	of	ADP
cana-4881	170	27	retinopathy	retinopathy	ADJ
cana-4881	170	28	image	image	NOUN
cana-4881	170	29	class	class	NOUN
cana-4881	170	30	detection	detection	NOUN
cana-4881	170	31	models	model	NOUN
cana-4881	170	32	.	.	PUNCT
cana-4881	171	1	image	image	NOUN
cana-4881	171	2	sets	set	VERB
cana-4881	171	3	nsl	nsl	NOUN
cana-4881	171	4	-	-	PUNCT
cana-4881	171	5	mhacnn	mhacnn	NOUN
cana-4881	171	6	drdloflm	drdloflm	NOUN
cana-4881	171	7	100	100	NUM
cana-4881	171	8	0.4091	0.4091	NUM
cana-4881	171	9	1	1	NUM
cana-4881	171	10	150	150	NUM
cana-4881	171	11	0.48	0.48	NUM
cana-4881	171	12	0.52	0.52	NUM
cana-4881	171	13	200	200	NUM
cana-4881	171	14	0.5152	0.5152	NUM
cana-4881	171	15	1	1	NUM
cana-4881	171	16	300	300	NUM
cana-4881	171	17	0.5246	0.5246	NUM
cana-4881	171	18	0.8033	0.8033	NUM
cana-4881	171	19	400	400	NUM
cana-4881	171	20	0.4815	0.4815	NUM
cana-4881	171	21	0.7160	0.7160	NUM
cana-4881	171	22	table	table	NOUN
cana-4881	171	23	11	11	NUM
cana-4881	171	24	precision	precision	NOUN
cana-4881	171	25	value	value	NOUN
cana-4881	171	26	of	of	ADP
cana-4881	171	27	retinopathy	retinopathy	ADJ
cana-4881	171	28	image	image	NOUN
cana-4881	171	29	class	class	NOUN
cana-4881	171	30	detection	detection	NOUN
cana-4881	171	31	models	model	NOUN
cana-4881	171	32	.	.	PUNCT
cana-4881	172	1	image	image	NOUN
cana-4881	172	2	sets	set	VERB
cana-4881	172	3	nsl	nsl	NOUN
cana-4881	172	4	-	-	PUNCT
cana-4881	172	5	mhacnn	mhacnn	NOUN
cana-4881	172	6	drdloflm	drdloflm	NOUN
cana-4881	172	7	100	100	NUM
cana-4881	172	8	0.05	0.05	NUM
cana-4881	172	9	0.5453	0.5453	NUM
cana-4881	172	10	150	150	NUM
cana-4881	172	11	0.0435	0.0435	NUM
cana-4881	172	12	0.5999	0.5999	NUM
cana-4881	172	13	200	200	NUM
cana-4881	172	14	0.0333	0.0333	NUM
cana-4881	172	15	0.6874	0.6874	NUM
cana-4881	172	16	300	300	NUM
cana-4881	172	17	0.0169	0.0169	NUM
cana-4881	172	18	0.4919	0.4919	NUM
cana-4881	172	19	400	400	NUM
cana-4881	172	20	0.0253	0.0253	NUM
cana-4881	172	21	0.6173	0.6173	NUM
cana-4881	172	22	communications	communication	NOUN
cana-4881	172	23	on	on	ADP
cana-4881	172	24	applied	apply	VERB
cana-4881	172	25	nonlinear	nonlinear	ADJ
cana-4881	172	26	analysis	analysis	NOUN
cana-4881	172	27	issn	issn	NOUN
cana-4881	172	28	:	:	PUNCT
cana-4881	172	29	1074	1074	NUM
cana-4881	172	30	-	-	PUNCT
cana-4881	172	31	133x	133x	NUM
cana-4881	172	32	vol	vol	VERB
cana-4881	172	33	32	32	NUM
cana-4881	172	34	no	no	NOUN
cana-4881	172	35	.	.	PUNCT
cana-4881	173	1	10s	10	NOUN
cana-4881	173	2	(	(	PUNCT
cana-4881	173	3	2025	2025	NUM
cana-4881	173	4	)	)	PUNCT
cana-4881	173	5	863	863	NUM
cana-4881	173	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4881	173	7	table	table	NOUN
cana-4881	173	8	8	8	NUM
cana-4881	173	9	,	,	PUNCT
cana-4881	173	10	9	9	NUM
cana-4881	173	11	,	,	PUNCT
cana-4881	173	12	10	10	NUM
cana-4881	173	13	and	and	CCONJ
cana-4881	173	14	11	11	NUM
cana-4881	173	15	shows	show	VERB
cana-4881	173	16	the	the	DET
cana-4881	173	17	different	different	ADJ
cana-4881	173	18	retinopathy	retinopathy	ADJ
cana-4881	173	19	image	image	NOUN
cana-4881	173	20	classification	classification	NOUN
cana-4881	173	21	accuracy	accuracy	NOUN
cana-4881	173	22	values	value	NOUN
cana-4881	173	23	of	of	ADP
cana-4881	173	24	comparing	compare	VERB
cana-4881	173	25	models	model	NOUN
cana-4881	173	26	.	.	PUNCT
cana-4881	174	1	proposed	propose	VERB
cana-4881	174	2	drdloflm	drdloflm	NOUN
cana-4881	174	3	has	have	VERB
cana-4881	174	4	high	high	ADJ
cana-4881	174	5	accuracy	accuracy	NOUN
cana-4881	174	6	value	value	NOUN
cana-4881	174	7	for	for	ADP
cana-4881	174	8	each	each	DET
cana-4881	174	9	class	class	NOUN
cana-4881	174	10	detection	detection	NOUN
cana-4881	174	11	.	.	PUNCT
cana-4881	175	1	result	result	NOUN
cana-4881	175	2	shows	show	VERB
cana-4881	175	3	that	that	SCONJ
cana-4881	175	4	use	use	NOUN
cana-4881	175	5	of	of	ADP
cana-4881	175	6	frog	frog	ADJ
cana-4881	175	7	leaping	leaping	NOUN
cana-4881	175	8	and	and	CCONJ
cana-4881	175	9	histogram	histogram	NOUN
cana-4881	175	10	,	,	PUNCT
cana-4881	175	11	dct	dct	PROPN
cana-4881	175	12	feature	feature	NOUN
cana-4881	175	13	set	set	NOUN
cana-4881	175	14	has	have	AUX
cana-4881	175	15	trained	train	VERB
cana-4881	175	16	the	the	DET
cana-4881	175	17	deep	deep	ADJ
cana-4881	175	18	learning	learning	NOUN
cana-4881	175	19	model	model	NOUN
cana-4881	175	20	effectively	effectively	ADV
cana-4881	175	21	.	.	PUNCT
cana-4881	176	1	v.	v.	ADP
cana-4881	176	2	conclusion	conclusion	NOUN
cana-4881	176	3	diabetic	diabetic	ADJ
cana-4881	176	4	retinopathy	retinopathy	ADJ
cana-4881	176	5	(	(	PUNCT
cana-4881	176	6	dr	dr	PROPN
cana-4881	176	7	)	)	PUNCT
cana-4881	176	8	is	be	AUX
cana-4881	176	9	one	one	NUM
cana-4881	176	10	of	of	ADP
cana-4881	176	11	the	the	DET
cana-4881	176	12	most	most	ADV
cana-4881	176	13	prevalent	prevalent	ADJ
cana-4881	176	14	retinal	retinal	ADJ
cana-4881	176	15	diseases	disease	NOUN
cana-4881	176	16	associated	associate	VERB
cana-4881	176	17	with	with	ADP
cana-4881	176	18	diabetes	diabetes	NOUN
cana-4881	176	19	,	,	PUNCT
cana-4881	176	20	often	often	ADV
cana-4881	176	21	manifesting	manifest	VERB
cana-4881	176	22	through	through	ADP
cana-4881	176	23	early	early	ADJ
cana-4881	176	24	symptoms	symptom	NOUN
cana-4881	176	25	such	such	ADJ
cana-4881	176	26	as	as	ADP
cana-4881	176	27	blurred	blurred	ADJ
cana-4881	176	28	vision	vision	NOUN
cana-4881	176	29	and	and	CCONJ
cana-4881	176	30	eye	eye	NOUN
cana-4881	176	31	floaters	floater	NOUN
cana-4881	176	32	.	.	PUNCT
cana-4881	177	1	if	if	SCONJ
cana-4881	177	2	left	leave	VERB
cana-4881	177	3	untreated	untreated	ADJ
cana-4881	177	4	,	,	PUNCT
cana-4881	177	5	its	its	PRON
cana-4881	177	6	progression	progression	NOUN
cana-4881	177	7	can	can	AUX
cana-4881	177	8	lead	lead	VERB
cana-4881	177	9	to	to	ADP
cana-4881	177	10	severe	severe	ADJ
cana-4881	177	11	complications	complication	NOUN
cana-4881	177	12	,	,	PUNCT
cana-4881	177	13	including	include	VERB
cana-4881	177	14	complete	complete	ADJ
cana-4881	177	15	vision	vision	NOUN
cana-4881	177	16	loss	loss	NOUN
cana-4881	177	17	.	.	PUNCT
cana-4881	178	1	this	this	DET
cana-4881	178	2	paper	paper	NOUN
cana-4881	178	3	has	have	AUX
cana-4881	178	4	introduced	introduce	VERB
cana-4881	178	5	the	the	DET
cana-4881	178	6	drdloflm	drdloflm	NOUN
cana-4881	178	7	(	(	PUNCT
cana-4881	178	8	diabetic	diabetic	ADJ
cana-4881	178	9	retinopathy	retinopathy	ADJ
cana-4881	178	10	deep	deep	ADJ
cana-4881	178	11	learning	learning	NOUN
cana-4881	178	12	optimized	optimize	VERB
cana-4881	178	13	frog	frog	NOUN
cana-4881	178	14	leaping	leap	VERB
cana-4881	178	15	model	model	NOUN
cana-4881	178	16	)	)	PUNCT
cana-4881	178	17	,	,	PUNCT
cana-4881	178	18	a	a	DET
cana-4881	178	19	novel	novel	ADJ
cana-4881	178	20	approach	approach	NOUN
cana-4881	178	21	for	for	ADP
cana-4881	178	22	dr	dr	PROPN
cana-4881	178	23	classification	classification	NOUN
cana-4881	178	24	that	that	PRON
cana-4881	178	25	leverages	leverage	VERB
cana-4881	178	26	deep	deep	ADJ
cana-4881	178	27	learning	learning	NOUN
cana-4881	178	28	and	and	CCONJ
cana-4881	178	29	optimization	optimization	NOUN
cana-4881	178	30	techniques	technique	NOUN
cana-4881	178	31	to	to	PART
cana-4881	178	32	enhance	enhance	VERB
cana-4881	178	33	diagnostic	diagnostic	ADJ
cana-4881	178	34	accuracy	accuracy	NOUN
cana-4881	178	35	.	.	PUNCT
cana-4881	179	1	the	the	DET
cana-4881	179	2	model	model	NOUN
cana-4881	179	3	extracts	extract	NOUN
cana-4881	179	4	machine	machine	NOUN
cana-4881	179	5	vision	vision	NOUN
cana-4881	179	6	-	-	PUNCT
cana-4881	179	7	based	base	VERB
cana-4881	179	8	features	feature	NOUN
cana-4881	179	9	from	from	ADP
cana-4881	179	10	medical	medical	ADJ
cana-4881	179	11	images	image	NOUN
cana-4881	179	12	,	,	PUNCT
cana-4881	179	13	selecting	select	VERB
cana-4881	179	14	the	the	DET
cana-4881	179	15	most	most	ADV
cana-4881	179	16	informative	informative	ADJ
cana-4881	179	17	regions	region	NOUN
cana-4881	179	18	using	use	VERB
cana-4881	179	19	the	the	DET
cana-4881	179	20	frog	frog	ADJ
cana-4881	179	21	leaping	leap	VERB
cana-4881	179	22	algorithm	algorithm	NOUN
cana-4881	179	23	to	to	PART
cana-4881	179	24	optimize	optimize	VERB
cana-4881	179	25	feature	feature	NOUN
cana-4881	179	26	representation	representation	NOUN
cana-4881	179	27	.	.	PUNCT
cana-4881	180	1	the	the	DET
cana-4881	180	2	cumulative	cumulative	ADJ
cana-4881	180	3	prediction	prediction	NOUN
cana-4881	180	4	strategy	strategy	NOUN
cana-4881	180	5	further	far	ADV
cana-4881	180	6	refines	refine	VERB
cana-4881	180	7	diagnostic	diagnostic	ADJ
cana-4881	180	8	performance	performance	NOUN
cana-4881	180	9	by	by	ADP
cana-4881	180	10	focusing	focus	VERB
cana-4881	180	11	on	on	ADP
cana-4881	180	12	critical	critical	ADJ
cana-4881	180	13	image	image	NOUN
cana-4881	180	14	blocks	block	NOUN
cana-4881	180	15	.	.	PUNCT
cana-4881	181	1	experimental	experimental	ADJ
cana-4881	181	2	results	result	NOUN
cana-4881	181	3	on	on	ADP
cana-4881	181	4	real	real	ADJ
cana-4881	181	5	dr	dr	PROPN
cana-4881	181	6	datasets	dataset	NOUN
cana-4881	181	7	confirm	confirm	VERB
cana-4881	181	8	that	that	SCONJ
cana-4881	181	9	the	the	DET
cana-4881	181	10	proposed	propose	VERB
cana-4881	181	11	model	model	NOUN
cana-4881	181	12	significantly	significantly	ADV
cana-4881	181	13	improves	improve	VERB
cana-4881	181	14	evaluation	evaluation	NOUN
cana-4881	181	15	metrics	metric	NOUN
cana-4881	181	16	.	.	PUNCT
cana-4881	182	1	the	the	DET
cana-4881	182	2	integration	integration	NOUN
cana-4881	182	3	of	of	ADP
cana-4881	182	4	histogram	histogram	NOUN
cana-4881	182	5	and	and	CCONJ
cana-4881	182	6	discrete	discrete	ADJ
cana-4881	182	7	cosine	cosine	NOUN
cana-4881	182	8	transform	transform	NOUN
cana-4881	182	9	(	(	PUNCT
cana-4881	182	10	dct	dct	PROPN
cana-4881	182	11	)	)	PUNCT
cana-4881	182	12	features	feature	VERB
cana-4881	182	13	enhances	enhance	NOUN
cana-4881	182	14	testing	test	VERB
cana-4881	182	15	efficiency	efficiency	NOUN
cana-4881	182	16	,	,	PUNCT
cana-4881	182	17	while	while	SCONJ
cana-4881	182	18	the	the	DET
cana-4881	182	19	frog	frog	NOUN
cana-4881	182	20	leaping	leap	VERB
cana-4881	182	21	genetic	genetic	ADJ
cana-4881	182	22	algorithm	algorithm	NOUN
cana-4881	182	23	boosts	boost	VERB
cana-4881	182	24	the	the	DET
cana-4881	182	25	f	f	NOUN
cana-4881	182	26	-	-	PUNCT
cana-4881	182	27	measure	measure	NOUN
cana-4881	182	28	by	by	ADP
cana-4881	182	29	11.22	11.22	NUM
cana-4881	182	30	%	%	NOUN
cana-4881	182	31	.	.	PUNCT
cana-4881	183	1	additionally	additionally	ADV
cana-4881	183	2	,	,	PUNCT
cana-4881	183	3	the	the	DET
cana-4881	183	4	incorporation	incorporation	NOUN
cana-4881	183	5	of	of	ADP
cana-4881	183	6	the	the	DET
cana-4881	183	7	moth	moth	NOUN
cana-4881	183	8	flame	flame	NOUN
cana-4881	183	9	optimization	optimization	NOUN
cana-4881	183	10	algorithm	algorithm	NOUN
cana-4881	183	11	effectively	effectively	ADV
cana-4881	183	12	eliminates	eliminate	VERB
cana-4881	183	13	low	low	ADJ
cana-4881	183	14	-	-	PUNCT
cana-4881	183	15	informative	informative	ADJ
cana-4881	183	16	image	image	NOUN
cana-4881	183	17	portions	portion	NOUN
cana-4881	183	18	,	,	PUNCT
cana-4881	183	19	leading	lead	VERB
cana-4881	183	20	to	to	ADP
cana-4881	183	21	a	a	DET
cana-4881	183	22	17.26	17.26	NUM
cana-4881	183	23	%	%	NOUN
cana-4881	183	24	improvement	improvement	NOUN
cana-4881	183	25	in	in	ADP
cana-4881	183	26	precision	precision	NOUN
cana-4881	183	27	compared	compare	VERB
cana-4881	183	28	to	to	ADP
cana-4881	183	29	existing	exist	VERB
cana-4881	183	30	models	model	NOUN
cana-4881	183	31	.	.	PUNCT
cana-4881	184	1	these	these	DET
cana-4881	184	2	findings	finding	NOUN
cana-4881	184	3	demonstrate	demonstrate	VERB
cana-4881	184	4	the	the	DET
cana-4881	184	5	effectiveness	effectiveness	NOUN
cana-4881	184	6	of	of	ADP
cana-4881	184	7	drdloflm	drdloflm	NOUN
cana-4881	184	8	in	in	ADP
cana-4881	184	9	dr	dr	PROPN
cana-4881	184	10	diagnosis	diagnosis	NOUN
cana-4881	184	11	,	,	PUNCT
cana-4881	184	12	highlighting	highlight	VERB
cana-4881	184	13	its	its	PRON
cana-4881	184	14	potential	potential	NOUN
cana-4881	184	15	to	to	PART
cana-4881	184	16	aid	aid	VERB
cana-4881	184	17	early	early	ADJ
cana-4881	184	18	detection	detection	NOUN
cana-4881	184	19	and	and	CCONJ
cana-4881	184	20	improve	improve	VERB
cana-4881	184	21	clinical	clinical	ADJ
cana-4881	184	22	decision	decision	NOUN
cana-4881	184	23	-	-	PUNCT
cana-4881	184	24	making	making	NOUN
cana-4881	184	25	for	for	ADP
cana-4881	184	26	diabetic	diabetic	ADJ
cana-4881	184	27	retinopathy	retinopathy	ADJ
cana-4881	184	28	management	management	NOUN
cana-4881	184	29	.	.	PUNCT
cana-4881	185	1	in	in	ADP
cana-4881	185	2	future	future	ADJ
cana-4881	185	3	scholar	scholar	NOUN
cana-4881	185	4	can	can	AUX
cana-4881	185	5	incorporate	incorporate	VERB
cana-4881	185	6	same	same	ADJ
cana-4881	185	7	in	in	ADP
cana-4881	185	8	hardware	hardware	NOUN
cana-4881	185	9	for	for	ADP
cana-4881	185	10	instant	instant	ADJ
cana-4881	185	11	analysis	analysis	NOUN
cana-4881	185	12	.	.	PUNCT
cana-4881	186	1	references	reference	NOUN
cana-4881	186	2	1	1	NUM
cana-4881	186	3	.	.	PUNCT
cana-4881	186	4	r.	r.	PROPN
cana-4881	186	5	taylor	taylor	PROPN
cana-4881	186	6	,	,	PUNCT
cana-4881	186	7	d.	d.	PROPN
cana-4881	186	8	batey	batey	PROPN
cana-4881	186	9	handbook	handbook	PROPN
cana-4881	186	10	of	of	ADP
cana-4881	186	11	retinal	retinal	ADJ
cana-4881	186	12	screening	screening	NOUN
cana-4881	186	13	in	in	ADP
cana-4881	186	14	diabetes	diabetes	NOUN
cana-4881	186	15	:	:	PUNCT
cana-4881	186	16	diagnosis	diagnosis	NOUN
cana-4881	186	17	and	and	CCONJ
cana-4881	186	18	management	management	NOUN
cana-4881	186	19	(	(	PUNCT
cana-4881	186	20	second	second	ADJ
cana-4881	186	21	ed	ed	NOUN
cana-4881	186	22	.	.	PUNCT
cana-4881	186	23	)	)	PUNCT
cana-4881	186	24	,	,	PUNCT
cana-4881	186	25	john	john	PROPN
cana-4881	186	26	wiley	wiley	PROPN
cana-4881	186	27	&	&	CCONJ
cana-4881	186	28	sons	sons	PROPN
cana-4881	186	29	,	,	PUNCT
cana-4881	186	30	ltd	ltd	PROPN
cana-4881	186	31	wiley	wiley	PROPN
cana-4881	186	32	-	-	PUNCT
cana-4881	186	33	blackwell	blackwell	PROPN
cana-4881	186	34	(	(	PUNCT
cana-4881	186	35	2012	2012	NUM
cana-4881	186	36	)	)	PUNCT
cana-4881	187	1	2	2	NUM
cana-4881	187	2	.	.	X
cana-4881	187	3	international	international	ADJ
cana-4881	187	4	diabetes	diabetes	NOUN
cana-4881	187	5	federation	federation	NOUN
cana-4881	187	6	what	what	PRON
cana-4881	187	7	is	be	AUX
cana-4881	187	8	diabetes	diabetes	NOUN
cana-4881	187	9	[	[	X
cana-4881	187	10	online	online	X
cana-4881	187	11	]	]	X
cana-4881	187	12	.	.	PUNCT
cana-4881	188	1	available	available	ADJ
cana-4881	188	2	https://www.idf.org/aboutdiabetes/what-is-diabetes	https://www.idf.org/aboutdiabetes/what-is-diabete	NOUN
cana-4881	188	3	.	.	NOUN
cana-4881	189	1	3	3	X
cana-4881	189	2	.	.	X
cana-4881	189	3	gadekallu	gadekallu	PROPN
cana-4881	189	4	t.	t.	PROPN
cana-4881	189	5	r.	r.	PROPN
cana-4881	189	6	,	,	PUNCT
cana-4881	189	7	khare	khare	PROPN
cana-4881	189	8	n.	n.	PROPN
cana-4881	189	9	,	,	PUNCT
cana-4881	189	10	bhattacharya	bhattacharya	PROPN
cana-4881	189	11	s.	s.	PROPN
cana-4881	189	12	,	,	PUNCT
cana-4881	189	13	singh	singh	PROPN
cana-4881	189	14	s.	s.	PROPN
cana-4881	189	15	,	,	PUNCT
cana-4881	189	16	maddikunta	maddikunta	PROPN
cana-4881	189	17	p.	p.	PROPN
cana-4881	189	18	k.	k.	PROPN
cana-4881	189	19	r.	r.	PROPN
cana-4881	189	20	,	,	PUNCT
cana-4881	189	21	and	and	CCONJ
cana-4881	189	22	srivastava	srivastava	PROPN
cana-4881	189	23	g.	g.	PROPN
cana-4881	189	24	,	,	PUNCT
cana-4881	189	25	deep	deep	ADJ
cana-4881	189	26	neural	neural	ADJ
cana-4881	189	27	networks	network	NOUN
cana-4881	189	28	to	to	PART
cana-4881	189	29	predict	predict	VERB
cana-4881	189	30	diabetic	diabetic	ADJ
cana-4881	189	31	retinopathy	retinopathy	ADJ
cana-4881	189	32	,	,	PUNCT
cana-4881	189	33	journal	journal	NOUN
cana-4881	189	34	of	of	ADP
cana-4881	189	35	ambient	ambient	ADJ
cana-4881	189	36	intelligence	intelligence	NOUN
cana-4881	189	37	and	and	CCONJ
cana-4881	189	38	humanized	humanize	VERB
cana-4881	189	39	computing	computing	NOUN
cana-4881	189	40	.	.	PUNCT
cana-4881	190	1	(	(	PUNCT
cana-4881	190	2	2020	2020	NUM
cana-4881	190	3	)	)	PUNCT
cana-4881	190	4	1–14	1–14	PROPN
cana-4881	190	5	,	,	PUNCT
cana-4881	190	6	4	4	NUM
cana-4881	190	7	.	.	X
cana-4881	191	1	american	american	ADJ
cana-4881	191	2	diabetes	diabetes	PROPN
cana-4881	191	3	association	association	PROPN
cana-4881	191	4	professional	professional	PROPN
cana-4881	191	5	practice	practice	NOUN
cana-4881	191	6	committee	committee	NOUN
cana-4881	191	7	,	,	PUNCT
cana-4881	191	8	draznin	draznin	PROPN
cana-4881	191	9	b	b	PROPN
cana-4881	191	10	,	,	PUNCT
cana-4881	191	11	aroda	aroda	NOUN
cana-4881	191	12	vr	vr	PROPN
cana-4881	191	13	,	,	PUNCT
cana-4881	191	14	et	et	PROPN
cana-4881	191	15	al	al	PROPN
cana-4881	191	16	.	.	PROPN
cana-4881	191	17	12	12	NUM
cana-4881	191	18	.	.	PUNCT
cana-4881	192	1	retinopathy	retinopathy	ADJ
cana-4881	192	2	,	,	PUNCT
cana-4881	192	3	neuropathy	neuropathy	ADJ
cana-4881	192	4	,	,	PUNCT
cana-4881	192	5	and	and	CCONJ
cana-4881	192	6	foot	foot	NOUN
cana-4881	192	7	care	care	NOUN
cana-4881	192	8	:	:	PUNCT
cana-4881	192	9	standards	standard	NOUN
cana-4881	192	10	of	of	ADP
cana-4881	192	11	medical	medical	ADJ
cana-4881	192	12	care	care	NOUN
cana-4881	192	13	in	in	ADP
cana-4881	192	14	diabetes-2022	diabetes-2022	NOUN
cana-4881	192	15	.	.	PUNCT
cana-4881	193	1	diabetes	diabetes	NOUN
cana-4881	193	2	care	care	VERB
cana-4881	193	3	2022;45	2022;45	NUM
cana-4881	193	4	:	:	PUNCT
cana-4881	193	5	s185–94	s185–94	NOUN
cana-4881	193	6	.	.	PUNCT
cana-4881	194	1	5	5	X
cana-4881	194	2	.	.	X
cana-4881	194	3	kaur	kaur	PROPN
cana-4881	194	4	,	,	PUNCT
cana-4881	194	5	j.	j.	PROPN
cana-4881	194	6	;	;	PUNCT
cana-4881	194	7	mittal	mittal	PROPN
cana-4881	194	8	,	,	PUNCT
cana-4881	194	9	d.	d.	PROPN
cana-4881	194	10	a	a	DET
cana-4881	194	11	generalized	generalize	VERB
cana-4881	194	12	method	method	NOUN
cana-4881	194	13	for	for	ADP
cana-4881	194	14	the	the	DET
cana-4881	194	15	detection	detection	NOUN
cana-4881	194	16	of	of	ADP
cana-4881	194	17	vascular	vascular	ADJ
cana-4881	194	18	structure	structure	NOUN
cana-4881	194	19	in	in	ADP
cana-4881	194	20	pathological	pathological	ADJ
cana-4881	194	21	retinal	retinal	ADJ
cana-4881	194	22	images	image	NOUN
cana-4881	194	23	.	.	PUNCT
cana-4881	195	1	biocybern	biocybern	NOUN
cana-4881	195	2	.	.	PROPN
cana-4881	195	3	biomed	biome	VERB
cana-4881	195	4	.	.	PUNCT
cana-4881	196	1	eng	eng	PROPN
cana-4881	196	2	.	.	PROPN
cana-4881	196	3	2017	2017	NUM
cana-4881	196	4	,	,	PUNCT
cana-4881	196	5	37	37	NUM
cana-4881	196	6	,	,	PUNCT
cana-4881	196	7	184–200	184–200	NUM
cana-4881	196	8	.	.	PUNCT
cana-4881	197	1	6	6	NUM
cana-4881	197	2	.	.	X
cana-4881	197	3	koetting	koetting	NOUN
cana-4881	197	4	,	,	PUNCT
cana-4881	197	5	c.	c.	PROPN
cana-4881	197	6	the	the	DET
cana-4881	197	7	four	four	NUM
cana-4881	197	8	stages	stage	NOUN
cana-4881	197	9	of	of	ADP
cana-4881	197	10	diabetic	diabetic	ADJ
cana-4881	197	11	retinopathy	retinopathy	NOUN
cana-4881	197	12	;	;	PUNCT
cana-4881	197	13	modern	modern	ADJ
cana-4881	197	14	optometry	optometry	NOUN
cana-4881	197	15	:	:	PUNCT
cana-4881	197	16	fairfax	fairfax	PROPN
cana-4881	197	17	,	,	PUNCT
cana-4881	197	18	va	va	PROPN
cana-4881	197	19	,	,	PUNCT
cana-4881	197	20	usa	usa	PROPN
cana-4881	197	21	,	,	PUNCT
cana-4881	197	22	2019	2019	NUM
cana-4881	197	23	;	;	PUNCT
cana-4881	197	24	pp	pp	ADP
cana-4881	197	25	.	.	PUNCT
cana-4881	198	1	21–24	21–24	NUM
cana-4881	198	2	.	.	PUNCT
cana-4881	199	1	7	7	X
cana-4881	199	2	.	.	X
cana-4881	199	3	agupta	agupta	NOUN
cana-4881	199	4	and	and	CCONJ
cana-4881	199	5	r.	r.	PROPN
cana-4881	199	6	chhikara	chhikara	PROPN
cana-4881	199	7	,	,	PUNCT
cana-4881	199	8	"	"	PUNCT
cana-4881	199	9	diabetic	diabetic	ADJ
cana-4881	199	10	retinopathy	retinopathy	NOUN
cana-4881	199	11	:	:	PUNCT
cana-4881	199	12	present	present	ADJ
cana-4881	199	13	and	and	CCONJ
cana-4881	199	14	past	past	ADJ
cana-4881	199	15	"	"	PUNCT
cana-4881	199	16	,	,	PUNCT
cana-4881	199	17	proc	proc	PROPN
cana-4881	199	18	.	.	PUNCT
cana-4881	200	1	comput	comput	NOUN
cana-4881	200	2	.	.	PUNCT
cana-4881	201	1	sci	sci	PROPN
cana-4881	201	2	.	.	PROPN
cana-4881	201	3	,	,	PUNCT
cana-4881	201	4	vol	vol	NOUN
cana-4881	201	5	.	.	PROPN
cana-4881	201	6	132	132	NUM
cana-4881	201	7	,	,	PUNCT
cana-4881	201	8	pp	pp	ADJ
cana-4881	201	9	.	.	PUNCT
cana-4881	202	1	1432	1432	NUM
cana-4881	202	2	-	-	SYM
cana-4881	202	3	1440	1440	NUM
cana-4881	202	4	,	,	PUNCT
cana-4881	202	5	jan	jan	PROPN
cana-4881	202	6	.	.	PROPN
cana-4881	202	7	2018	2018	NUM
cana-4881	202	8	.	.	PUNCT
cana-4881	203	1	communications	communication	NOUN
cana-4881	203	2	on	on	ADP
cana-4881	203	3	applied	apply	VERB
cana-4881	203	4	nonlinear	nonlinear	ADJ
cana-4881	203	5	analysis	analysis	NOUN
cana-4881	203	6	issn	issn	NOUN
cana-4881	203	7	:	:	PUNCT
cana-4881	203	8	1074	1074	NUM
cana-4881	203	9	-	-	PUNCT
cana-4881	203	10	133x	133x	NUM
cana-4881	203	11	vol	vol	VERB
cana-4881	203	12	32	32	NUM
cana-4881	203	13	no	no	NOUN
cana-4881	203	14	.	.	PUNCT
cana-4881	204	1	10s	10	NOUN
cana-4881	204	2	(	(	PUNCT
cana-4881	204	3	2025	2025	NUM
cana-4881	204	4	)	)	PUNCT
cana-4881	204	5	864	864	NUM
cana-4881	205	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-4881	205	2	8	8	NUM
cana-4881	205	3	.	.	PUNCT
cana-4881	206	1	herman	herman	PROPN
cana-4881	206	2	khalid	khalid	PROPN
cana-4881	206	3	omer	omer	PROPN
cana-4881	206	4	.	.	PUNCT
cana-4881	207	1	"	"	PUNCT
cana-4881	207	2	diabetic	diabetic	ADJ
cana-4881	207	3	retinopathy	retinopathy	ADJ
cana-4881	207	4	detection	detection	NOUN
cana-4881	207	5	using	use	VERB
cana-4881	207	6	bilayered	bilayere	VERB
cana-4881	207	7	neural	neural	ADJ
cana-4881	207	8	network	network	NOUN
cana-4881	207	9	classification	classification	NOUN
cana-4881	207	10	model	model	NOUN
cana-4881	207	11	with	with	ADP
cana-4881	207	12	resubstitution	resubstitution	NOUN
cana-4881	207	13	validation	validation	NOUN
cana-4881	207	14	,	,	PUNCT
cana-4881	207	15	methods	method	NOUN
cana-4881	207	16	"	"	PUNCT
cana-4881	207	17	.	.	PUNCT
cana-4881	208	1	sciencedirect	sciencedirect	PROPN
cana-4881	208	2	,	,	PUNCT
cana-4881	208	3	2215	2215	NUM
cana-4881	208	4	-	-	SYM
cana-4881	208	5	0161	0161	NUM
cana-4881	208	6	,	,	PUNCT
cana-4881	208	7	x	x	PRON
cana-4881	208	8	,	,	PUNCT
cana-4881	208	9	volume	volume	NOUN
cana-4881	208	10	12	12	NUM
cana-4881	208	11	,	,	PUNCT
cana-4881	208	12	2024	2024	NUM
cana-4881	208	13	.	.	PUNCT
cana-4881	209	1	9	9	NUM
cana-4881	209	2	.	.	X
cana-4881	209	3	mutawa	mutawa	PROPN
cana-4881	209	4	,	,	PUNCT
cana-4881	209	5	a.m.	a.m.	ADV
cana-4881	209	6	;	;	PUNCT
cana-4881	209	7	al	al	PROPN
cana-4881	209	8	-	-	PUNCT
cana-4881	209	9	sabti	sabti	PROPN
cana-4881	209	10	,	,	PUNCT
cana-4881	209	11	k.	k.	PROPN
cana-4881	209	12	;	;	PUNCT
cana-4881	209	13	raizada	raizada	PROPN
cana-4881	209	14	,	,	PUNCT
cana-4881	209	15	s.	s.	PROPN
cana-4881	209	16	;	;	PUNCT
cana-4881	209	17	sruthi	sruthi	PROPN
cana-4881	209	18	,	,	PUNCT
cana-4881	209	19	s.	s.	PROPN
cana-4881	209	20	a	a	DET
cana-4881	209	21	deep	deep	ADJ
cana-4881	209	22	learning	learning	NOUN
cana-4881	209	23	model	model	NOUN
cana-4881	209	24	for	for	ADP
cana-4881	209	25	detecting	detect	VERB
cana-4881	209	26	diabetic	diabetic	ADJ
cana-4881	209	27	retinopathy	retinopathy	ADJ
cana-4881	209	28	stages	stage	NOUN
cana-4881	209	29	with	with	ADP
cana-4881	209	30	discrete	discrete	ADJ
cana-4881	209	31	wavelet	wavelet	NOUN
cana-4881	209	32	transform	transform	NOUN
cana-4881	209	33	.	.	PUNCT
cana-4881	210	1	appl	appl	PROPN
cana-4881	210	2	.	.	PUNCT
cana-4881	211	1	sci	sci	PROPN
cana-4881	211	2	.	.	PROPN
cana-4881	211	3	2024	2024	NUM
cana-4881	211	4	,	,	PUNCT
cana-4881	211	5	14	14	NUM
cana-4881	211	6	,	,	PUNCT
cana-4881	211	7	4428	4428	NUM
cana-4881	211	8	.	.	PUNCT
cana-4881	212	1	10	10	NUM
cana-4881	212	2	.	.	PUNCT
cana-4881	213	1	k.	k.	PROPN
cana-4881	213	2	ahnaf	ahnaf	PROPN
cana-4881	213	3	alavee	alavee	PROPN
cana-4881	213	4	et	et	PROPN
cana-4881	213	5	al	al	PROPN
cana-4881	213	6	.	.	PROPN
cana-4881	213	7	,	,	PUNCT
cana-4881	213	8	"	"	PUNCT
cana-4881	213	9	enhancing	enhance	VERB
cana-4881	213	10	early	early	ADJ
cana-4881	213	11	detection	detection	NOUN
cana-4881	213	12	of	of	ADP
cana-4881	213	13	diabetic	diabetic	ADJ
cana-4881	213	14	retinopathy	retinopathy	NOUN
cana-4881	213	15	through	through	ADP
cana-4881	213	16	the	the	DET
cana-4881	213	17	integration	integration	NOUN
cana-4881	213	18	of	of	ADP
cana-4881	213	19	deep	deep	ADJ
cana-4881	213	20	learning	learning	NOUN
cana-4881	213	21	models	model	NOUN
cana-4881	213	22	and	and	CCONJ
cana-4881	213	23	explainable	explainable	ADJ
cana-4881	213	24	artificial	artificial	ADJ
cana-4881	213	25	intelligence	intelligence	NOUN
cana-4881	213	26	,	,	PUNCT
cana-4881	213	27	"	"	PUNCT
cana-4881	213	28	in	in	ADP
cana-4881	213	29	ieee	ieee	NOUN
cana-4881	213	30	access	access	NOUN
cana-4881	213	31	,	,	PUNCT
cana-4881	213	32	vol	vol	NOUN
cana-4881	213	33	.	.	PROPN
cana-4881	213	34	12	12	NUM
cana-4881	213	35	,	,	PUNCT
cana-4881	213	36	pp	pp	ADJ
cana-4881	213	37	.	.	PUNCT
cana-4881	214	1	73950	73950	NUM
cana-4881	214	2	-	-	SYM
cana-4881	214	3	73969	73969	NUM
cana-4881	214	4	,	,	PUNCT
cana-4881	214	5	2024	2024	NUM
cana-4881	214	6	.	.	PUNCT
cana-4881	215	1	11	11	NUM
cana-4881	215	2	.	.	PUNCT
cana-4881	215	3	makala	makala	PROPN
cana-4881	215	4	bindu	bindu	PROPN
cana-4881	215	5	priya	priya	PROPN
cana-4881	215	6	,	,	PUNCT
cana-4881	215	7	d.	d.	PROPN
cana-4881	215	8	manoj	manoj	PROPN
cana-4881	215	9	kumar	kumar	PROPN
cana-4881	215	10	.	.	PUNCT
cana-4881	216	1	"	"	PUNCT
cana-4881	216	2	mhsaggcn	mhsaggcn	PROPN
cana-4881	216	3	-	-	PUNCT
cana-4881	216	4	bcoa	bcoa	NOUN
cana-4881	216	5	:	:	PUNCT
cana-4881	216	6	a	a	DET
cana-4881	216	7	novel	novel	ADJ
cana-4881	216	8	deep	deep	ADJ
cana-4881	216	9	learning	learning	NOUN
cana-4881	216	10	based	base	VERB
cana-4881	216	11	approach	approach	NOUN
cana-4881	216	12	for	for	ADP
cana-4881	216	13	diabetic	diabetic	ADJ
cana-4881	216	14	retinopathy	retinopathy	ADJ
cana-4881	216	15	detection	detection	NOUN
cana-4881	216	16	"	"	PUNCT
cana-4881	216	17	,	,	PUNCT
cana-4881	216	18	biomedical	biomedical	ADJ
cana-4881	216	19	signal	signal	NOUN
cana-4881	216	20	processing	processing	NOUN
cana-4881	216	21	and	and	CCONJ
cana-4881	216	22	control	control	NOUN
cana-4881	216	23	,	,	PUNCT
cana-4881	216	24	volume	volume	NOUN
cana-4881	216	25	105	105	NUM
cana-4881	216	26	,	,	PUNCT
cana-4881	216	27	2025	2025	NUM
cana-4881	216	28	.	.	PUNCT
cana-4881	217	1	12	12	NUM
cana-4881	217	2	.	.	PUNCT
cana-4881	217	3	nagachandrika	nagachandrika	PROPN
cana-4881	217	4	gogulamudi	gogulamudi	PROPN
cana-4881	217	5	,	,	PUNCT
cana-4881	217	6	madhu	madhu	PROPN
cana-4881	217	7	golla	golla	PROPN
cana-4881	217	8	,	,	PUNCT
cana-4881	217	9	apparao	apparao	VERB
cana-4881	217	10	naidu	naidu	PROPN
cana-4881	217	11	g	g	PROPN
cana-4881	217	12	,	,	PUNCT
cana-4881	217	13	sandeep	sandeep	PROPN
cana-4881	217	14	kautish	kautish	PROPN
cana-4881	217	15	,	,	PUNCT
cana-4881	217	16	abdulaziz	abdulaziz	PROPN
cana-4881	217	17	s.	s.	PROPN
cana-4881	217	18	almazyad	almazyad	PROPN
cana-4881	217	19	,	,	PUNCT
cana-4881	217	20	guojiang	guojiang	PROPN
cana-4881	217	21	xiong	xiong	PROPN
cana-4881	217	22	,	,	PUNCT
cana-4881	217	23	ali	ali	PROPN
cana-4881	217	24	wagdy	wagdy	PROPN
cana-4881	217	25	mohamed	mohamed	PROPN
cana-4881	217	26	.	.	PUNCT
cana-4881	218	1	"	"	PUNCT
cana-4881	218	2	evaluating	evaluate	VERB
cana-4881	218	3	the	the	DET
cana-4881	218	4	performance	performance	NOUN
cana-4881	218	5	of	of	ADP
cana-4881	218	6	a	a	DET
cana-4881	218	7	nonuniform	nonuniform	ADJ
cana-4881	218	8	squash	squash	NOUN
cana-4881	218	9	function	function	NOUN
cana-4881	218	10	in	in	ADP
cana-4881	218	11	capsule	capsule	NOUN
cana-4881	218	12	networks	network	NOUN
cana-4881	218	13	for	for	ADP
cana-4881	218	14	early	early	ADJ
cana-4881	218	15	diabetic	diabetic	ADJ
cana-4881	218	16	retinopathy	retinopathy	ADJ
cana-4881	218	17	detection	detection	NOUN
cana-4881	218	18	using	use	VERB
cana-4881	218	19	fundus	fundus	NOUN
cana-4881	218	20	image	image	NOUN
cana-4881	218	21	analysis	analysis	NOUN
cana-4881	218	22	"	"	PUNCT
cana-4881	218	23	,	,	PUNCT
cana-4881	218	24	results	result	NOUN
cana-4881	218	25	in	in	ADP
cana-4881	218	26	engineering	engineering	NOUN
cana-4881	218	27	,	,	PUNCT
cana-4881	218	28	volume	volume	NOUN
cana-4881	218	29	23	23	NUM
cana-4881	218	30	,	,	PUNCT
cana-4881	218	31	2024	2024	NUM
cana-4881	218	32	.	.	PUNCT
cana-4881	219	1	13	13	NUM
cana-4881	219	2	.	.	PUNCT
cana-4881	219	3	benesty	benesty	PROPN
cana-4881	219	4	,	,	PUNCT
cana-4881	219	5	j.	j.	PROPN
cana-4881	219	6	,	,	PUNCT
cana-4881	219	7	chen	chen	PROPN
cana-4881	219	8	,	,	PUNCT
cana-4881	219	9	j.	j.	PROPN
cana-4881	219	10	,	,	PUNCT
cana-4881	219	11	huang	huang	PROPN
cana-4881	219	12	,	,	PUNCT
cana-4881	219	13	y.	y.	PROPN
cana-4881	219	14	(	(	PUNCT
cana-4881	219	15	.	.	PROPN
cana-4881	219	16	,	,	PUNCT
cana-4881	219	17	doclo	doclo	PROPN
cana-4881	219	18	,	,	PUNCT
cana-4881	219	19	s.	s.	PROPN
cana-4881	219	20	(	(	PUNCT
cana-4881	219	21	2005	2005	NUM
cana-4881	219	22	)	)	PUNCT
cana-4881	219	23	.	.	PUNCT
cana-4881	220	1	study	study	NOUN
cana-4881	220	2	of	of	ADP
cana-4881	220	3	the	the	DET
cana-4881	220	4	wiener	wiener	NOUN
cana-4881	220	5	filter	filter	NOUN
cana-4881	220	6	for	for	ADP
cana-4881	220	7	noise	noise	NOUN
cana-4881	220	8	reduction	reduction	NOUN
cana-4881	220	9	.	.	PUNCT
cana-4881	221	1	in	in	ADP
cana-4881	221	2	:	:	PUNCT
cana-4881	221	3	speech	speech	NOUN
cana-4881	221	4	enhancement	enhancement	NOUN
cana-4881	221	5	.	.	PUNCT
cana-4881	222	1	signals	signal	NOUN
cana-4881	222	2	and	and	CCONJ
cana-4881	222	3	communication	communication	NOUN
cana-4881	222	4	technology	technology	NOUN
cana-4881	222	5	.	.	PUNCT
cana-4881	223	1	springer	springer	NOUN
cana-4881	223	2	,	,	PUNCT
cana-4881	223	3	berlin	berlin	PROPN
cana-4881	223	4	,	,	PUNCT
cana-4881	223	5	heidelberg	heidelberg	PROPN
cana-4881	223	6	.	.	PUNCT
cana-4881	224	1	14	14	NUM
cana-4881	224	2	.	.	PUNCT
cana-4881	225	1	h.	h.	PROPN
cana-4881	226	1	-p	-p	PROPN
cana-4881	226	2	.	.	PROPN
cana-4881	226	3	hsu	hsu	PROPN
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cana-4881	226	6	-n	-n	PROPN
cana-4881	226	7	.	.	PUNCT
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cana-4881	227	2	,	,	PUNCT
cana-4881	227	3	"	"	PUNCT
cana-4881	227	4	a	a	DET
cana-4881	227	5	hybrid	hybrid	ADJ
cana-4881	227	6	approach	approach	NOUN
cana-4881	227	7	combining	combine	VERB
cana-4881	227	8	improved	improve	VERB
cana-4881	227	9	shuffled	shuffle	VERB
cana-4881	227	10	frogleaping	frogleape	VERB
cana-4881	227	11	algorithm	algorithm	NOUN
cana-4881	227	12	with	with	ADP
cana-4881	227	13	dynamic	dynamic	ADJ
cana-4881	227	14	programming	programming	NOUN
cana-4881	227	15	for	for	ADP
cana-4881	227	16	disassembly	disassembly	NOUN
cana-4881	227	17	process	process	NOUN
cana-4881	227	18	planning	planning	NOUN
cana-4881	227	19	,	,	PUNCT
cana-4881	227	20	"	"	PUNCT
cana-4881	227	21	in	in	ADP
cana-4881	227	22	ieee	ieee	NOUN
cana-4881	227	23	access	access	NOUN
cana-4881	227	24	,	,	PUNCT
cana-4881	227	25	vol	vol	NOUN
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cana-4881	227	28	,	,	PUNCT
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cana-4881	227	30	.	.	PUNCT
cana-4881	228	1	57743	57743	NUM
cana-4881	228	2	-	-	SYM
cana-4881	228	3	57756	57756	NUM
cana-4881	228	4	,	,	PUNCT
cana-4881	228	5	2021	2021	NUM
cana-4881	228	6	15	15	NUM
cana-4881	228	7	.	.	PUNCT
cana-4881	229	1	seema	seema	PROPN
cana-4881	229	2	pal	pal	PROPN
cana-4881	229	3	,	,	PUNCT
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cana-4881	229	7	.	.	PUNCT
cana-4881	230	1	"	"	PUNCT
cana-4881	230	2	digital	digital	ADJ
cana-4881	230	3	text	text	NOUN
cana-4881	230	4	document	document	NOUN
cana-4881	230	5	clustering	cluster	VERB
cana-4881	230	6	using	use	VERB
cana-4881	230	7	frog	frog	ADJ
cana-4881	230	8	leaping	leap	VERB
cana-4881	230	9	feature	feature	NOUN
cana-4881	230	10	optimization	optimization	NOUN
cana-4881	230	11	"	"	PUNCT
cana-4881	230	12	.	.	PUNCT
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cana-4881	231	2	journal	journal	PROPN
cana-4881	231	3	of	of	ADP
cana-4881	231	4	scientific	scientific	ADJ
cana-4881	231	5	research	research	NOUN
cana-4881	231	6	&	&	CCONJ
cana-4881	231	7	engineering	engineering	NOUN
cana-4881	231	8	trends	trend	NOUN
cana-4881	231	9	volume	volume	VERB
cana-4881	231	10	10	10	NUM
cana-4881	231	11	,	,	PUNCT
cana-4881	231	12	issue	issue	NOUN
cana-4881	231	13	3	3	NUM
cana-4881	231	14	,	,	PUNCT
cana-4881	231	15	may	may	AUX
cana-4881	231	16	-	-	PUNCT
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cana-4881	231	18	.	.	PUNCT
cana-4881	232	1	16	16	NUM
cana-4881	232	2	.	.	PUNCT
cana-4881	232	3	blachnik	blachnik	PROPN
cana-4881	232	4	,	,	PUNCT
cana-4881	232	5	marcin	marcin	PROPN
cana-4881	232	6	&	&	CCONJ
cana-4881	232	7	laaksonen	laaksonen	PROPN
cana-4881	232	8	,	,	PUNCT
cana-4881	232	9	jorma	jorma	PROPN
cana-4881	232	10	.	.	PUNCT
cana-4881	233	1	(	(	PUNCT
cana-4881	233	2	2008	2008	NUM
cana-4881	233	3	)	)	PUNCT
cana-4881	233	4	.	.	PUNCT
cana-4881	234	1	image	image	NOUN
cana-4881	234	2	classification	classification	NOUN
cana-4881	234	3	by	by	ADP
cana-4881	234	4	histogram	histogram	NOUN
cana-4881	234	5	features	feature	NOUN
cana-4881	234	6	created	create	VERB
cana-4881	234	7	with	with	ADP
cana-4881	234	8	learning	learn	VERB
cana-4881	234	9	vector	vector	NOUN
cana-4881	234	10	quantization	quantization	NOUN
cana-4881	234	11	.	.	PUNCT
cana-4881	235	1	5163	5163	NUM
cana-4881	235	2	.	.	PUNCT
cana-4881	236	1	827	827	NUM
cana-4881	236	2	-	-	SYM
cana-4881	236	3	836	836	NUM
cana-4881	236	4	.	.	PUNCT
cana-4881	236	5	17	17	NUM
cana-4881	236	6	.	.	PUNCT
cana-4881	236	7	bouchra	bouchra	PROPN
cana-4881	236	8	nassih	nassih	PROPN
cana-4881	236	9	,	,	PUNCT
cana-4881	236	10	aouatif	aouatif	CCONJ
cana-4881	236	11	amine	amine	NOUN
cana-4881	236	12	,	,	PUNCT
cana-4881	236	13	mohammed	mohammed	PROPN
cana-4881	236	14	ngadi	ngadi	PROPN
cana-4881	236	15	,	,	PUNCT
cana-4881	236	16	nabil	nabil	PROPN
cana-4881	236	17	hmina	hmina	PROPN
cana-4881	236	18	.	.	PUNCT
cana-4881	237	1	"	"	PUNCT
cana-4881	237	2	dct	dct	PROPN
cana-4881	237	3	and	and	CCONJ
cana-4881	237	4	hog	hog	NOUN
cana-4881	237	5	feature	feature	NOUN
cana-4881	237	6	sets	set	NOUN
cana-4881	237	7	combined	combine	VERB
cana-4881	237	8	with	with	ADP
cana-4881	237	9	bpnn	bpnn	NOUN
cana-4881	237	10	for	for	ADP
cana-4881	237	11	efficient	efficient	ADJ
cana-4881	237	12	face	face	NOUN
cana-4881	237	13	classification	classification	NOUN
cana-4881	237	14	"	"	PUNCT
cana-4881	237	15	.	.	PUNCT
cana-4881	238	1	second	second	ADJ
cana-4881	238	2	international	international	ADJ
cana-4881	238	3	conference	conference	NOUN
cana-4881	238	4	on	on	ADP
cana-4881	238	5	intelligent	intelligent	ADJ
cana-4881	238	6	computing	computing	NOUN
cana-4881	238	7	in	in	ADP
cana-4881	238	8	data	datum	NOUN
cana-4881	238	9	sciences	sciences	PROPN
cana-4881	238	10	(	(	PUNCT
cana-4881	238	11	icds	icds	PROPN
cana-4881	238	12	2018	2018	NUM
cana-4881	238	13	)	)	PUNCT
cana-4881	238	14	18	18	NUM
cana-4881	238	15	.	.	PUNCT
cana-4881	239	1	sakshi	sakshi	PROPN
cana-4881	239	2	indolia	indolia	PROPN
cana-4881	239	3	,	,	PUNCT
cana-4881	239	4	anil	anil	PROPN
cana-4881	239	5	kumar	kumar	PROPN
cana-4881	239	6	goswami	goswami	PROPN
cana-4881	239	7	,	,	PUNCT
cana-4881	239	8	s.p	s.p	PROPN
cana-4881	239	9	.	.	PROPN
cana-4881	239	10	mishra	mishra	PROPN
cana-4881	239	11	,	,	PUNCT
cana-4881	239	12	pooja	pooja	PROPN
cana-4881	239	13	asopa	asopa	ADV
cana-4881	239	14	.	.	PUNCT
cana-4881	240	1	"	"	PUNCT
cana-4881	240	2	conceptual	conceptual	ADJ
cana-4881	240	3	understanding	understanding	NOUN
cana-4881	240	4	of	of	ADP
cana-4881	240	5	convolutional	convolutional	ADJ
cana-4881	240	6	neural	neural	ADJ
cana-4881	240	7	networka	networka	PROPN
cana-4881	240	8	deep	deep	ADJ
cana-4881	240	9	learning	learning	NOUN
cana-4881	240	10	approach	approach	NOUN
cana-4881	240	11	"	"	PUNCT
cana-4881	240	12	,	,	PUNCT
cana-4881	240	13	procedia	procedia	PROPN
cana-4881	240	14	computer	computer	NOUN
cana-4881	240	15	science	science	NOUN
cana-4881	240	16	,	,	PUNCT
cana-4881	240	17	volume	volume	NOUN
cana-4881	240	18	132	132	NUM
cana-4881	240	19	,	,	PUNCT
cana-4881	240	20	2018	2018	NUM
cana-4881	240	21	,	,	PUNCT
cana-4881	240	22	pages	page	NOUN
cana-4881	240	23	679	679	NUM
cana-4881	240	24	-	-	SYM
cana-4881	240	25	688	688	NUM
cana-4881	240	26	.	.	PUNCT
cana-4881	241	1	19	19	NUM
cana-4881	241	2	.	.	PUNCT
cana-4881	241	3	pandimurugan	pandimurugan	PROPN
cana-4881	241	4	,	,	PUNCT
cana-4881	241	5	v.	v.	PROPN
cana-4881	241	6	,	,	PUNCT
cana-4881	241	7	ahmad	ahmad	PROPN
cana-4881	241	8	,	,	PUNCT
cana-4881	241	9	s.	s.	PROPN
cana-4881	241	10	,	,	PUNCT
cana-4881	241	11	prabu	prabu	NOUN
cana-4881	241	12	,	,	PUNCT
cana-4881	241	13	a.v	a.v	PROPN
cana-4881	241	14	.	.	PROPN
cana-4881	241	15	et	et	PROPN
cana-4881	242	1	al	al	PROPN
cana-4881	242	2	.	.	PROPN
cana-4881	242	3	cnn	cnn	PROPN
cana-4881	242	4	-	-	PUNCT
cana-4881	242	5	based	base	VERB
cana-4881	242	6	deep	deep	ADJ
cana-4881	242	7	learning	learning	NOUN
cana-4881	242	8	model	model	NOUN
cana-4881	242	9	for	for	ADP
cana-4881	242	10	early	early	ADJ
cana-4881	242	11	identification	identification	NOUN
cana-4881	242	12	and	and	CCONJ
cana-4881	242	13	categorization	categorization	NOUN
cana-4881	242	14	of	of	ADP
cana-4881	242	15	melanoma	melanoma	NOUN
cana-4881	242	16	skin	skin	NOUN
cana-4881	242	17	cancer	cancer	NOUN
cana-4881	242	18	using	use	VERB
cana-4881	242	19	medical	medical	ADJ
cana-4881	242	20	imaging	imaging	NOUN
cana-4881	242	21	.	.	PUNCT
cana-4881	243	1	sn	sn	PROPN
cana-4881	243	2	comput	comput	PROPN
cana-4881	243	3	.	.	PUNCT
cana-4881	244	1	sci	sci	PROPN
cana-4881	244	2	.	.	PROPN
cana-4881	245	1	5	5	NUM
cana-4881	245	2	,	,	PUNCT
cana-4881	245	3	911	911	NUM
cana-4881	245	4	(	(	PUNCT
cana-4881	245	5	2024	2024	NUM
cana-4881	245	6	)	)	PUNCT
cana-4881	245	7	.	.	PUNCT
cana-4881	246	1	20	20	NUM
cana-4881	246	2	.	.	PUNCT
cana-4881	246	3	o.	o.	PROPN
cana-4881	246	4	daanouni	daanouni	PROPN
cana-4881	246	5	,	,	PUNCT
cana-4881	246	6	b.	b.	PROPN
cana-4881	246	7	cherradi	cherradi	PROPN
cana-4881	246	8	and	and	CCONJ
cana-4881	246	9	a.	a.	NOUN
cana-4881	246	10	tmiri	tmiri	NOUN
cana-4881	246	11	,	,	PUNCT
cana-4881	246	12	"	"	PUNCT
cana-4881	246	13	nsl	nsl	NOUN
cana-4881	246	14	-	-	PUNCT
cana-4881	246	15	mha	mha	NOUN
cana-4881	246	16	-	-	PUNCT
cana-4881	246	17	cnn	cnn	PROPN
cana-4881	246	18	:	:	PUNCT
cana-4881	246	19	a	a	DET
cana-4881	246	20	novel	novel	ADJ
cana-4881	246	21	cnn	cnn	NOUN
cana-4881	246	22	architecture	architecture	NOUN
cana-4881	246	23	for	for	ADP
cana-4881	246	24	robust	robust	ADJ
cana-4881	246	25	diabetic	diabetic	ADJ
cana-4881	246	26	retinopathy	retinopathy	ADJ
cana-4881	246	27	prediction	prediction	NOUN
cana-4881	246	28	against	against	ADP
cana-4881	246	29	adversarial	adversarial	ADJ
cana-4881	246	30	attacks	attack	NOUN
cana-4881	246	31	,	,	PUNCT
cana-4881	246	32	"	"	PUNCT
cana-4881	246	33	in	in	ADP
cana-4881	246	34	ieee	ieee	NOUN
cana-4881	246	35	access	access	NOUN
cana-4881	246	36	,	,	PUNCT
cana-4881	246	37	vol	vol	NOUN
cana-4881	246	38	.	.	PROPN
cana-4881	247	1	10	10	NUM
cana-4881	247	2	,	,	PUNCT
cana-4881	247	3	pp	pp	ADJ
cana-4881	247	4	.	.	PUNCT
cana-4881	248	1	103987	103987	NUM
cana-4881	248	2	-	-	SYM
cana-4881	248	3	103999	103999	NUM
cana-4881	248	4	,	,	PUNCT
cana-4881	248	5	2022	2022	NUM
cana-4881	248	6	.	.	PUNCT
cana-4881	249	1	21	21	NUM
cana-4881	249	2	.	.	PUNCT
cana-4881	250	1	https://www.kaggle.com/datasets/sachinkumar413/diabetic-retinopathy-dataset	https://www.kaggle.com/datasets/sachinkumar413/diabetic-retinopathy-dataset	PROPN
cana-4881	250	2	.	.	PUNCT