id	sid	tid	token	lemma	pos
cana-1835	1	1	communications	communication	NOUN
cana-1835	1	2	on	on	ADP
cana-1835	1	3	applied	apply	VERB
cana-1835	1	4	nonlinear	nonlinear	ADJ
cana-1835	1	5	analysis	analysis	NOUN
cana-1835	1	6	issn	issn	NOUN
cana-1835	1	7	:	:	PUNCT
cana-1835	1	8	1074	1074	NUM
cana-1835	1	9	-	-	PUNCT
cana-1835	1	10	133x	133x	NUM
cana-1835	1	11	vol	vol	NOUN
cana-1835	1	12	32	32	NUM
cana-1835	1	13	no	no	NOUN
cana-1835	1	14	.	.	NOUN
cana-1835	1	15	2	2	NUM
cana-1835	1	16	(	(	PUNCT
cana-1835	1	17	2025	2025	NUM
cana-1835	1	18	)	)	PUNCT
cana-1835	1	19	593	593	NUM
cana-1835	1	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-1835	1	21	image	image	NOUN
cana-1835	1	22	classification	classification	NOUN
cana-1835	1	23	with	with	ADP
cana-1835	1	24	hypertensive	hypertensive	ADJ
cana-1835	1	25	angle	angle	NOUN
cana-1835	1	26	disease	disease	NOUN
cana-1835	1	27	detection	detection	NOUN
cana-1835	1	28	with	with	ADP
cana-1835	1	29	geometric	geometric	ADJ
cana-1835	1	30	local	local	ADJ
cana-1835	1	31	derivative	derivative	ADJ
cana-1835	1	32	pre	pre	ADJ
cana-1835	1	33	-	-	ADJ
cana-1835	1	34	processing	processing	ADJ
cana-1835	1	35	dr	dr	PROPN
cana-1835	1	36	anand	anand	PROPN
cana-1835	2	1	rajasekaran1	rajasekaran1	PROPN
cana-1835	2	2	,	,	PUNCT
cana-1835	2	3	rajesh	rajesh	PROPN
cana-1835	2	4	natarajan2	natarajan2	PROPN
cana-1835	2	5	,	,	PUNCT
cana-1835	2	6	shankar	shankar	PROPN
cana-1835	2	7	r3	r3	PROPN
cana-1835	2	8	,	,	PUNCT
cana-1835	2	9	sowmya	sowmya	PROPN
cana-1835	2	10	v	v	PROPN
cana-1835	2	11	l4	l4	PROPN
cana-1835	2	12	,	,	PUNCT
cana-1835	2	13	mr.r	mr.r	ADV
cana-1835	2	14	vikkram5	vikkram5	PROPN
cana-1835	2	15	,	,	PUNCT
cana-1835	2	16	subash	subash	PROPN
cana-1835	2	17	chandra	chandra	PROPN
cana-1835	2	18	bose	bose	PROPN
cana-1835	2	19	s6	s6	PROPN
cana-1835	2	20	1associate	1associate	NUM
cana-1835	2	21	professor	professor	NOUN
cana-1835	2	22	and	and	CCONJ
cana-1835	2	23	head	head	NOUN
cana-1835	2	24	,	,	PUNCT
cana-1835	2	25	department	department	NOUN
cana-1835	2	26	of	of	ADP
cana-1835	2	27	mca	mca	PROPN
cana-1835	2	28	,	,	PUNCT
cana-1835	2	29	guru	guru	NOUN
cana-1835	2	30	nanak	nanak	PROPN
cana-1835	2	31	college	college	PROPN
cana-1835	2	32	(	(	PUNCT
cana-1835	2	33	autonomous	autonomous	ADJ
cana-1835	2	34	)	)	PUNCT
cana-1835	2	35	,	,	PUNCT
cana-1835	2	36	velachery	velachery	PROPN
cana-1835	2	37	,	,	PUNCT
cana-1835	2	38	chennai	chennai	PROPN
cana-1835	2	39	,	,	PUNCT
cana-1835	2	40	tamil	tamil	PROPN
cana-1835	2	41	nadu	nadu	PROPN
cana-1835	2	42	,	,	PUNCT
cana-1835	2	43	india	india	PROPN
cana-1835	2	44	.	.	PUNCT
cana-1835	3	1	e	e	X
cana-1835	3	2	-	-	NOUN
cana-1835	3	3	mail	mail	NOUN
cana-1835	3	4	:	:	PUNCT
cana-1835	3	5	anand.r@gurunanakcollege.edu.in	anand.r@gurunanakcollege.edu.in	PROPN
cana-1835	3	6	2lecturer	2lecturer	NUM
cana-1835	3	7	,	,	PUNCT
cana-1835	3	8	information	information	NOUN
cana-1835	3	9	technology	technology	NOUN
cana-1835	3	10	department	department	PROPN
cana-1835	3	11	,	,	PUNCT
cana-1835	3	12	college	college	NOUN
cana-1835	3	13	of	of	ADP
cana-1835	3	14	computing	computing	NOUN
cana-1835	3	15	and	and	CCONJ
cana-1835	3	16	information	information	NOUN
cana-1835	3	17	sciences	sciences	PROPN
cana-1835	3	18	,	,	PUNCT
cana-1835	3	19	university	university	NOUN
cana-1835	3	20	of	of	ADP
cana-1835	3	21	technology	technology	NOUN
cana-1835	3	22	and	and	CCONJ
cana-1835	3	23	applied	apply	VERB
cana-1835	3	24	sciences	science	NOUN
cana-1835	3	25	-	-	PUNCT
cana-1835	3	26	shinas	shina	NOUN
cana-1835	3	27	,	,	PUNCT
cana-1835	3	28	ai	ai	ADJ
cana-1835	3	29	-	-	PUNCT
cana-1835	3	30	aqr	aqr	ADJ
cana-1835	3	31	,	,	PUNCT
cana-1835	3	32	shinas-324	shinas-324	NOUN
cana-1835	3	33	,	,	PUNCT
cana-1835	3	34	oman	oman	NOUN
cana-1835	3	35	.	.	PUNCT
cana-1835	4	1	e	e	X
cana-1835	4	2	-	-	NOUN
cana-1835	4	3	mail	mail	NOUN
cana-1835	4	4	:	:	PUNCT
cana-1835	4	5	rajesh.natarajan@utas.edu	rajesh.natarajan@utas.edu	PROPN
cana-1835	4	6	3assistant	3assistant	PROPN
cana-1835	4	7	professor	professor	NOUN
cana-1835	4	8	,	,	PUNCT
cana-1835	4	9	department	department	NOUN
cana-1835	4	10	of	of	ADP
cana-1835	4	11	information	information	NOUN
cana-1835	4	12	technology	technology	NOUN
cana-1835	4	13	,	,	PUNCT
cana-1835	4	14	karpagam	karpagam	PROPN
cana-1835	4	15	college	college	PROPN
cana-1835	4	16	of	of	ADP
cana-1835	4	17	engineering	engineering	PROPN
cana-1835	4	18	,	,	PUNCT
cana-1835	4	19	coimbatore	coimbatore	PROPN
cana-1835	4	20	,	,	PUNCT
cana-1835	4	21	tamil	tamil	PROPN
cana-1835	4	22	nadu	nadu	PROPN
cana-1835	4	23	,	,	PUNCT
cana-1835	4	24	india	india	PROPN
cana-1835	4	25	.	.	PUNCT
cana-1835	5	1	e	e	X
cana-1835	5	2	-	-	NOUN
cana-1835	5	3	mail	mail	NOUN
cana-1835	5	4	:	:	PUNCT
cana-1835	6	1	vikkram.r@kce.ac.in	vikkram.r@kce.ac.in	PROPN
cana-1835	6	2	4assistant	4assistant	NUM
cana-1835	6	3	professor	professor	NOUN
cana-1835	6	4	,	,	PUNCT
cana-1835	6	5	department	department	NOUN
cana-1835	6	6	of	of	ADP
cana-1835	6	7	computer	computer	NOUN
cana-1835	6	8	science	science	NOUN
cana-1835	6	9	and	and	CCONJ
cana-1835	6	10	engineering	engineering	NOUN
cana-1835	6	11	,	,	PUNCT
cana-1835	6	12	bms	bms	PROPN
cana-1835	6	13	institute	institute	PROPN
cana-1835	6	14	of	of	ADP
cana-1835	6	15	technology	technology	NOUN
cana-1835	6	16	and	and	CCONJ
cana-1835	6	17	management	management	NOUN
cana-1835	6	18	,	,	PUNCT
cana-1835	6	19	bengaluru	bengaluru	PROPN
cana-1835	6	20	,	,	PUNCT
cana-1835	6	21	karnataka	karnataka	PROPN
cana-1835	6	22	,	,	PUNCT
cana-1835	6	23	india	india	PROPN
cana-1835	6	24	.	.	PUNCT
cana-1835	7	1	e	e	X
cana-1835	7	2	-	-	NOUN
cana-1835	7	3	mail	mail	NOUN
cana-1835	7	4	:	:	PUNCT
cana-1835	7	5	shankar@bmsit.in	shankar@bmsit.in	PROPN
cana-1835	7	6	5research	5research	NUM
cana-1835	7	7	scholar	scholar	NOUN
cana-1835	7	8	,	,	PUNCT
cana-1835	7	9	department	department	NOUN
cana-1835	7	10	of	of	ADP
cana-1835	7	11	computer	computer	NOUN
cana-1835	7	12	science	science	NOUN
cana-1835	7	13	and	and	CCONJ
cana-1835	7	14	engineering	engineering	NOUN
cana-1835	7	15	,	,	PUNCT
cana-1835	7	16	bms	bms	PROPN
cana-1835	7	17	institute	institute	PROPN
cana-1835	7	18	of	of	ADP
cana-1835	7	19	technology	technology	NOUN
cana-1835	7	20	and	and	CCONJ
cana-1835	7	21	management	management	NOUN
cana-1835	7	22	,	,	PUNCT
cana-1835	7	23	bengaluru	bengaluru	PROPN
cana-1835	7	24	,	,	PUNCT
cana-1835	7	25	karnataka	karnataka	PROPN
cana-1835	7	26	,	,	PUNCT
cana-1835	7	27	india	india	PROPN
cana-1835	7	28	.	.	PUNCT
cana-1835	8	1	e	e	X
cana-1835	8	2	-	-	NOUN
cana-1835	8	3	mail	mail	NOUN
cana-1835	8	4	:	:	PUNCT
cana-1835	8	5	soumyavl@bmsit.in	soumyavl@bmsit.in	VERB
cana-1835	8	6	6assistant	6assistant	NUM
cana-1835	8	7	professor	professor	NOUN
cana-1835	8	8	,	,	PUNCT
cana-1835	8	9	department	department	NOUN
cana-1835	8	10	of	of	ADP
cana-1835	8	11	computer	computer	NOUN
cana-1835	8	12	science	science	NOUN
cana-1835	8	13	,	,	PUNCT
cana-1835	8	14	islamiah	islamiah	PROPN
cana-1835	8	15	college	college	NOUN
cana-1835	8	16	(	(	PUNCT
cana-1835	8	17	autonomous	autonomous	ADJ
cana-1835	8	18	)	)	PUNCT
cana-1835	8	19	,	,	PUNCT
cana-1835	8	20	vaniyambadi	vaniyambadi	NOUN
cana-1835	8	21	,	,	PUNCT
cana-1835	8	22	tamil	tamil	PROPN
cana-1835	8	23	nadu	nadu	PROPN
cana-1835	8	24	,	,	PUNCT
cana-1835	8	25	india	india	PROPN
cana-1835	8	26	.	.	PUNCT
cana-1835	9	1	e	e	X
cana-1835	9	2	-	-	NOUN
cana-1835	9	3	mail	mail	NOUN
cana-1835	9	4	:	:	PUNCT
cana-1835	9	5	bosesubash@islamiahcollege.edu.in	bosesubash@islamiahcollege.edu.in	ADJ
cana-1835	9	6	article	article	NOUN
cana-1835	9	7	history	history	NOUN
cana-1835	9	8	:	:	PUNCT
cana-1835	9	9	received	receive	VERB
cana-1835	9	10	:	:	PUNCT
cana-1835	9	11	08	08	NUM
cana-1835	9	12	-	-	SYM
cana-1835	9	13	08	08	NUM
cana-1835	9	14	-	-	PUNCT
cana-1835	9	15	2024	2024	NUM
cana-1835	9	16	revised	revise	VERB
cana-1835	9	17	:	:	PUNCT
cana-1835	9	18	17	17	NUM
cana-1835	9	19	-	-	SYM
cana-1835	9	20	09	09	NUM
cana-1835	9	21	-	-	PUNCT
cana-1835	9	22	2024	2024	NUM
cana-1835	9	23	accepted	accept	VERB
cana-1835	9	24	:	:	PUNCT
cana-1835	9	25	26	26	NUM
cana-1835	9	26	-	-	SYM
cana-1835	9	27	09	09	NUM
cana-1835	9	28	-	-	PUNCT
cana-1835	9	29	2024	2024	NUM
cana-1835	9	30	abstract	abstract	NOUN
cana-1835	9	31	:	:	PUNCT
cana-1835	9	32	it	it	PRON
cana-1835	9	33	is	be	AUX
cana-1835	9	34	recognized	recognize	VERB
cana-1835	9	35	as	as	SCONJ
cana-1835	9	36	conjunctivitis	conjunctivitis	NOUN
cana-1835	9	37	stands	stand	VERB
cana-1835	9	38	as	as	ADP
cana-1835	9	39	that	that	PRON
cana-1835	9	40	of	of	ADP
cana-1835	9	41	the	the	DET
cana-1835	9	42	second	second	ADV
cana-1835	9	43	-	-	PUNCT
cana-1835	9	44	greatest	great	ADJ
cana-1835	9	45	source	source	NOUN
cana-1835	9	46	of	of	ADP
cana-1835	9	47	disability	disability	NOUN
cana-1835	9	48	.	.	PUNCT
cana-1835	10	1	early	early	ADJ
cana-1835	10	2	detection	detection	NOUN
cana-1835	10	3	and	and	CCONJ
cana-1835	10	4	management	management	NOUN
cana-1835	10	5	of	of	ADP
cana-1835	10	6	ophthalmology	ophthalmology	NOUN
cana-1835	10	7	are	be	AUX
cana-1835	10	8	essential	essential	ADJ
cana-1835	10	9	for	for	ADP
cana-1835	10	10	preventing	prevent	VERB
cana-1835	10	11	disease	disease	NOUN
cana-1835	10	12	owing	owe	VERB
cana-1835	10	13	to	to	ADP
cana-1835	10	14	the	the	DET
cana-1835	10	15	benign	benign	ADJ
cana-1835	10	16	character	character	NOUN
cana-1835	10	17	of	of	ADP
cana-1835	10	18	loss	loss	NOUN
cana-1835	10	19	of	of	ADP
cana-1835	10	20	vision	vision	NOUN
cana-1835	10	21	mostly	mostly	ADV
cana-1835	10	22	in	in	ADP
cana-1835	10	23	early	early	ADJ
cana-1835	10	24	stages	stage	NOUN
cana-1835	10	25	of	of	ADP
cana-1835	10	26	the	the	DET
cana-1835	10	27	illness	illness	NOUN
cana-1835	10	28	and	and	CCONJ
cana-1835	10	29	the	the	DET
cana-1835	10	30	permanent	permanent	ADJ
cana-1835	10	31	condition	condition	NOUN
cana-1835	10	32	of	of	ADP
cana-1835	10	33	vision	vision	NOUN
cana-1835	10	34	in	in	ADP
cana-1835	10	35	later	later	ADJ
cana-1835	10	36	stages	stage	NOUN
cana-1835	10	37	.	.	PUNCT
cana-1835	11	1	straight	straight	ADJ
cana-1835	11	2	retinal	retinal	ADJ
cana-1835	11	3	inspection	inspection	NOUN
cana-1835	11	4	,	,	PUNCT
cana-1835	11	5	commercial	commercial	ADJ
cana-1835	11	6	digital	digital	ADJ
cana-1835	11	7	images	image	NOUN
cana-1835	11	8	,	,	PUNCT
cana-1835	11	9	laser	laser	NOUN
cana-1835	11	10	scanners	scanner	NOUN
cana-1835	11	11	spectroscopy	spectroscopy	VERB
cana-1835	11	12	,	,	PUNCT
cana-1835	11	13	scanning	scan	VERB
cana-1835	11	14	infrared	infrare	VERB
cana-1835	11	15	additional	additional	ADJ
cana-1835	11	16	factor	factor	NOUN
cana-1835	11	17	and	and	CCONJ
cana-1835	11	18	confocal	confocal	ADJ
cana-1835	11	19	tomography	tomography	NOUN
cana-1835	11	20	(	(	PUNCT
cana-1835	11	21	oct	oct	NOUN
cana-1835	11	22	)	)	PUNCT
cana-1835	11	23	images	image	NOUN
cana-1835	11	24	can	can	AUX
cana-1835	11	25	all	all	PRON
cana-1835	11	26	is	be	AUX
cana-1835	11	27	used	use	VERB
cana-1835	11	28	it	it	PRON
cana-1835	11	29	to	to	PART
cana-1835	11	30	identify	identify	VERB
cana-1835	11	31	hypertension	hypertension	NOUN
cana-1835	11	32	.	.	PUNCT
cana-1835	12	1	these	these	DET
cana-1835	12	2	findings	finding	NOUN
cana-1835	12	3	suggest	suggest	VERB
cana-1835	12	4	using	use	VERB
cana-1835	12	5	a	a	DET
cana-1835	12	6	vertical	vertical	ADJ
cana-1835	12	7	harmonic	harmonic	ADJ
cana-1835	12	8	oscillator	oscillator	NOUN
cana-1835	12	9	dynamic	dynamic	ADJ
cana-1835	12	10	hinge	hinge	NOUN
cana-1835	12	11	supporting	support	VERB
cana-1835	12	12	machine	machine	NOUN
cana-1835	12	13	classifier	classifier	NOUN
cana-1835	12	14	(	(	PUNCT
cana-1835	12	15	embedded	embed	VERB
cana-1835	12	16	systems	system	NOUN
cana-1835	12	17	)	)	PUNCT
cana-1835	12	18	to	to	PART
cana-1835	12	19	predict	predict	VERB
cana-1835	12	20	glaucoma	glaucoma	NOUN
cana-1835	12	21	.	.	PUNCT
cana-1835	13	1	there	there	PRON
cana-1835	13	2	really	really	ADV
cana-1835	13	3	are	be	AUX
cana-1835	13	4	three	three	NUM
cana-1835	13	5	stages	stage	NOUN
cana-1835	13	6	to	to	ADP
cana-1835	13	7	the	the	DET
cana-1835	13	8	repository	repository	NOUN
cana-1835	13	9	system	system	NOUN
cana-1835	13	10	.	.	PUNCT
cana-1835	14	1	all	all	DET
cana-1835	14	2	those	those	PRON
cana-1835	14	3	are	be	AUX
cana-1835	14	4	ophthalmology	ophthalmology	NOUN
cana-1835	14	5	identification	identification	NOUN
cana-1835	14	6	,	,	PUNCT
cana-1835	14	7	extraction	extraction	NOUN
cana-1835	14	8	and	and	CCONJ
cana-1835	14	9	classification	classification	NOUN
cana-1835	14	10	,	,	PUNCT
cana-1835	14	11	and	and	CCONJ
cana-1835	14	12	processing	processing	NOUN
cana-1835	14	13	.	.	PUNCT
cana-1835	15	1	the	the	DET
cana-1835	15	2	retina	retina	NOUN
cana-1835	15	3	source	source	NOUN
cana-1835	15	4	images	image	NOUN
cana-1835	15	5	first	first	ADV
cana-1835	15	6	were	be	AUX
cana-1835	15	7	analyzed	analyze	VERB
cana-1835	15	8	using	use	VERB
cana-1835	15	9	a	a	DET
cana-1835	15	10	geometric	geometric	ADJ
cana-1835	15	11	local	local	ADJ
cana-1835	15	12	derivative	derivative	ADJ
cana-1835	15	13	pre	pre	NOUN
cana-1835	15	14	processor	processor	NOUN
cana-1835	15	15	architecture	architecture	NOUN
cana-1835	15	16	to	to	PART
cana-1835	15	17	extract	extract	VERB
cana-1835	15	18	the	the	DET
cana-1835	15	19	major	major	ADJ
cana-1835	15	20	characteristics	characteristic	NOUN
cana-1835	15	21	required	require	VERB
cana-1835	15	22	for	for	ADP
cana-1835	15	23	early	early	ADJ
cana-1835	15	24	diagnosis	diagnosis	NOUN
cana-1835	15	25	.	.	PUNCT
cana-1835	16	1	the	the	DET
cana-1835	16	2	precompiled	precompile	VERB
cana-1835	16	3	images	image	NOUN
cana-1835	16	4	then	then	ADV
cana-1835	16	5	are	be	AUX
cana-1835	16	6	submitted	submit	VERB
cana-1835	16	7	to	to	PART
cana-1835	16	8	harmonic	harmonic	VERB
cana-1835	16	9	oscillator	oscillator	NOUN
cana-1835	16	10	discontinuous	discontinuous	ADJ
cana-1835	16	11	single	single	ADJ
cana-1835	16	12	input	input	NOUN
cana-1835	16	13	single	single	ADJ
cana-1835	16	14	probability	probability	NOUN
cana-1835	16	15	distribution	distribution	NOUN
cana-1835	16	16	extraction	extraction	NOUN
cana-1835	16	17	of	of	ADP
cana-1835	16	18	features	feature	NOUN
cana-1835	16	19	to	to	PART
cana-1835	16	20	identify	identify	VERB
cana-1835	16	21	significant	significant	ADJ
cana-1835	16	22	characteristics	characteristic	NOUN
cana-1835	16	23	with	with	ADP
cana-1835	16	24	the	the	DET
cana-1835	16	25	sensitivity	sensitivity	NOUN
cana-1835	16	26	for	for	ADP
cana-1835	16	27	disease	disease	NOUN
cana-1835	16	28	prediction	prediction	NOUN
cana-1835	16	29	.	.	PUNCT
cana-1835	17	1	lastly	lastly	ADV
cana-1835	17	2	,	,	PUNCT
cana-1835	17	3	inter	inter	ADJ
cana-1835	17	4	hinge	hinge	NOUN
cana-1835	17	5	gradient	gradient	NOUN
cana-1835	17	6	boosting	boost	VERB
cana-1835	17	7	retinal	retinal	ADJ
cana-1835	17	8	identification	identification	NOUN
cana-1835	17	9	employs	employ	VERB
cana-1835	17	10	the	the	DET
cana-1835	17	11	derived	derive	VERB
cana-1835	17	12	features	feature	NOUN
cana-1835	17	13	to	to	PART
cana-1835	17	14	detect	detect	VERB
cana-1835	17	15	glaucoma	glaucoma	NOUN
cana-1835	17	16	early	early	ADV
cana-1835	17	17	and	and	CCONJ
cana-1835	17	18	effectively	effectively	ADV
cana-1835	17	19	.	.	PUNCT
cana-1835	18	1	the	the	DET
cana-1835	18	2	retina	retina	NOUN
cana-1835	18	3	mri	mri	NOUN
cana-1835	18	4	image	image	NOUN
cana-1835	18	5	datasets	dataset	NOUN
cana-1835	18	6	was	be	AUX
cana-1835	18	7	utilized	utilize	VERB
cana-1835	18	8	in	in	ADP
cana-1835	18	9	simulation	simulation	NOUN
cana-1835	18	10	experiments	experiment	NOUN
cana-1835	18	11	to	to	PART
cana-1835	18	12	examine	examine	VERB
cana-1835	18	13	the	the	DET
cana-1835	18	14	effectiveness	effectiveness	NOUN
cana-1835	18	15	of	of	ADP
cana-1835	18	16	the	the	DET
cana-1835	18	17	suggested	suggest	VERB
cana-1835	18	18	method	method	NOUN
cana-1835	18	19	,	,	PUNCT
cana-1835	18	20	embedded	embed	VERB
cana-1835	18	21	systems	system	NOUN
cana-1835	18	22	.	.	PUNCT
cana-1835	19	1	computational	computational	ADJ
cana-1835	19	2	complexity	complexity	NOUN
cana-1835	19	3	,	,	PUNCT
cana-1835	19	4	sensitivities	sensitivity	NOUN
cana-1835	19	5	,	,	PUNCT
cana-1835	19	6	and	and	CCONJ
cana-1835	19	7	correctness	correctness	NOUN
cana-1835	19	8	performance	performance	NOUN
cana-1835	19	9	criteria	criterion	NOUN
cana-1835	19	10	must	must	AUX
cana-1835	19	11	be	be	AUX
cana-1835	19	12	looked	look	VERB
cana-1835	19	13	at	at	ADP
cana-1835	19	14	with	with	ADP
cana-1835	19	15	respect	respect	NOUN
cana-1835	19	16	to	to	ADP
cana-1835	19	17	different	different	ADJ
cana-1835	19	18	optical	optical	ADJ
cana-1835	19	19	image	image	NOUN
cana-1835	19	20	quantities	quantity	NOUN
cana-1835	19	21	.	.	PUNCT
cana-1835	20	1	keywords	keyword	NOUN
cana-1835	20	2	:	:	PUNCT
cana-1835	20	3	diagnosis	diagnosis	NOUN
cana-1835	20	4	of	of	ADP
cana-1835	20	5	hypertension	hypertension	NOUN
cana-1835	20	6	,	,	PUNCT
cana-1835	20	7	confocal	confocal	ADJ
cana-1835	20	8	laser	laser	NOUN
cana-1835	20	9	spectroscopy	spectroscopy	NOUN
cana-1835	20	10	,	,	PUNCT
cana-1835	20	11	regional	regional	ADJ
cana-1835	20	12	geometric	geometric	ADJ
cana-1835	20	13	sequential	sequential	ADJ
cana-1835	20	14	sinusoidal	sinusoidal	NOUN
cana-1835	20	15	,	,	PUNCT
cana-1835	20	16	continuous	continuous	ADJ
cana-1835	20	17	trigonometric	trigonometric	ADJ
cana-1835	20	18	functions	function	NOUN
cana-1835	20	19	,	,	PUNCT
cana-1835	20	20	multi	multi	ADJ
cana-1835	20	21	-	-	ADJ
cana-1835	20	22	class	class	ADJ
cana-1835	20	23	,	,	PUNCT
cana-1835	20	24	stochastic	stochastic	ADJ
cana-1835	20	25	destruction	destruction	NOUN
cana-1835	20	26	,	,	PUNCT
cana-1835	20	27	hinge	hinge	NOUN
cana-1835	20	28	and	and	CCONJ
cana-1835	20	29	logistic	logistic	ADJ
cana-1835	20	30	regression	regression	NOUN
cana-1835	20	31	.	.	PUNCT
cana-1835	21	1	mailto:anand.r@gurunanakcollege.edu.in	mailto:anand.r@gurunanakcollege.edu.in	PROPN
cana-1835	21	2	mailto:vikkram.r@kce.ac.in	mailto:vikkram.r@kce.ac.in	PROPN
cana-1835	21	3	mailto:shankar@bmsit.in	mailto:shankar@bmsit.in	PROPN
cana-1835	21	4	mailto:soumyavl@bmsit.in	mailto:soumyavl@bmsit.in	PROPN
cana-1835	21	5	mailto:bosesubash@islamiahcollege.edu.in	mailto:bosesubash@islamiahcollege.edu.in	PROPN
cana-1835	21	6	communications	communication	NOUN
cana-1835	21	7	on	on	ADP
cana-1835	21	8	applied	apply	VERB
cana-1835	21	9	nonlinear	nonlinear	ADJ
cana-1835	21	10	analysis	analysis	NOUN
cana-1835	21	11	issn	issn	NOUN
cana-1835	21	12	:	:	PUNCT
cana-1835	21	13	1074	1074	NUM
cana-1835	21	14	-	-	PUNCT
cana-1835	21	15	133x	133x	NUM
cana-1835	21	16	vol	vol	NOUN
cana-1835	21	17	32	32	NUM
cana-1835	21	18	no	no	NOUN
cana-1835	21	19	.	.	NOUN
cana-1835	21	20	2	2	NUM
cana-1835	21	21	(	(	PUNCT
cana-1835	21	22	2025	2025	NUM
cana-1835	21	23	)	)	PUNCT
cana-1835	22	1	594	594	NUM
cana-1835	22	2	https://internationalpubls.com	https://internationalpubls.com	X
cana-1835	22	3	1	1	X
cana-1835	22	4	.	.	PUNCT
cana-1835	22	5	introduction	introduction	NOUN
cana-1835	22	6	in	in	ADP
cana-1835	22	7	recent	recent	ADJ
cana-1835	22	8	times	time	NOUN
cana-1835	22	9	,	,	PUNCT
cana-1835	22	10	it	it	PRON
cana-1835	22	11	's	be	AUX
cana-1835	22	12	been	be	AUX
cana-1835	22	13	recognized	recognize	VERB
cana-1835	22	14	because	because	SCONJ
cana-1835	22	15	ophthalmology	ophthalmology	NOUN
cana-1835	22	16	is	be	AUX
cana-1835	22	17	a	a	DET
cana-1835	22	18	disorder	disorder	NOUN
cana-1835	22	19	which	which	PRON
cana-1835	22	20	impacts	impact	VERB
cana-1835	22	21	individuals	individual	NOUN
cana-1835	22	22	of	of	ADP
cana-1835	22	23	all	all	DET
cana-1835	22	24	ages	age	NOUN
cana-1835	22	25	on	on	ADP
cana-1835	22	26	a	a	DET
cana-1835	22	27	constant	constant	ADJ
cana-1835	22	28	schedule	schedule	NOUN
cana-1835	22	29	instead	instead	ADV
cana-1835	22	30	of	of	ADP
cana-1835	22	31	just	just	ADV
cana-1835	22	32	the	the	DET
cana-1835	22	33	aged	age	VERB
cana-1835	22	34	.	.	PUNCT
cana-1835	23	1	the	the	DET
cana-1835	23	2	intense	intense	ADJ
cana-1835	23	3	pressure	pressure	NOUN
cana-1835	23	4	of	of	ADP
cana-1835	23	5	an	an	DET
cana-1835	23	6	excess	excess	ADJ
cana-1835	23	7	fluid	fluid	NOUN
cana-1835	23	8	that	that	PRON
cana-1835	23	9	is	be	AUX
cana-1835	23	10	accessible	accessible	ADJ
cana-1835	23	11	inside	inside	ADP
cana-1835	23	12	the	the	DET
cana-1835	23	13	eyeball	eyeball	NOUN
cana-1835	23	14	produces	produce	VERB
cana-1835	23	15	this	this	DET
cana-1835	23	16	hypertension	hypertension	NOUN
cana-1835	23	17	.	.	PUNCT
cana-1835	24	1	this	this	DET
cana-1835	24	2	liquid	liquid	NOUN
cana-1835	24	3	affects	affect	VERB
cana-1835	24	4	the	the	DET
cana-1835	24	5	eye	eye	NOUN
cana-1835	24	6	's	's	PART
cana-1835	24	7	visual	visual	ADJ
cana-1835	24	8	cortex	cortex	NOUN
cana-1835	24	9	,	,	PUNCT
cana-1835	24	10	which	which	PRON
cana-1835	24	11	produces	produce	VERB
cana-1835	24	12	an	an	DET
cana-1835	24	13	embarrassing	embarrassing	ADJ
cana-1835	24	14	defeat	defeat	NOUN
cana-1835	24	15	of	of	ADP
cana-1835	24	16	vision	vision	NOUN
cana-1835	24	17	.	.	PUNCT
cana-1835	25	1	ophthalmology	ophthalmology	NOUN
cana-1835	25	2	is	be	AUX
cana-1835	25	3	generally	generally	ADV
cana-1835	25	4	not	not	PART
cana-1835	25	5	examined	examine	VERB
cana-1835	25	6	unless	unless	SCONJ
cana-1835	25	7	permanent	permanent	ADJ
cana-1835	25	8	visual	visual	ADJ
cana-1835	25	9	impairment	impairment	NOUN
cana-1835	25	10	produced	produce	VERB
cana-1835	25	11	by	by	ADP
cana-1835	25	12	irreversible	irreversible	ADJ
cana-1835	25	13	damage	damage	NOUN
cana-1835	25	14	has	have	AUX
cana-1835	25	15	happened	happen	VERB
cana-1835	25	16	.	.	PUNCT
cana-1835	26	1	these	these	DET
cana-1835	26	2	objectives	objective	NOUN
cana-1835	26	3	justify	justify	VERB
cana-1835	26	4	the	the	DET
cana-1835	26	5	need	need	NOUN
cana-1835	26	6	for	for	ADP
cana-1835	26	7	a	a	DET
cana-1835	26	8	precise	precise	ADJ
cana-1835	26	9	and	and	CCONJ
cana-1835	26	10	timely	timely	ADJ
cana-1835	26	11	ophthalmology	ophthalmology	NOUN
cana-1835	26	12	treatment	treatment	NOUN
cana-1835	26	13	.	.	PUNCT
cana-1835	27	1	by	by	ADP
cana-1835	27	2	critically	critically	ADV
cana-1835	27	3	investigating	investigate	VERB
cana-1835	27	4	the	the	DET
cana-1835	27	5	characteristics	characteristic	NOUN
cana-1835	27	6	for	for	ADP
cana-1835	27	7	retina	retina	NOUN
cana-1835	27	8	of	of	ADP
cana-1835	27	9	the	the	DET
cana-1835	27	10	eye	eye	NOUN
cana-1835	27	11	through	through	ADP
cana-1835	27	12	greater	great	ADJ
cana-1835	27	13	image	image	NOUN
cana-1835	27	14	,	,	PUNCT
cana-1835	27	15	the	the	DET
cana-1835	27	16	multiple	multiple	ADJ
cana-1835	27	17	input	input	NOUN
cana-1835	27	18	vectors	vector	NOUN
cana-1835	27	19	deep	deep	ADJ
cana-1835	27	20	convolutional	convolutional	ADJ
cana-1835	27	21	neural	neural	ADJ
cana-1835	27	22	network	network	NOUN
cana-1835	27	23	(	(	PUNCT
cana-1835	27	24	mfv	mfv	PROPN
cana-1835	27	25	-	-	PUNCT
cana-1835	27	26	dbn	dbn	NOUN
cana-1835	27	27	)	)	PUNCT
cana-1835	27	28	created	create	VERB
cana-1835	27	29	an	an	DET
cana-1835	27	30	approach	approach	NOUN
cana-1835	27	31	to	to	PART
cana-1835	27	32	identify	identify	VERB
cana-1835	27	33	this	this	DET
cana-1835	27	34	retinal	retinal	ADJ
cana-1835	27	35	disease	disease	NOUN
cana-1835	27	36	at	at	ADP
cana-1835	27	37	the	the	DET
cana-1835	27	38	initial	initial	ADJ
cana-1835	27	39	stages	stage	NOUN
cana-1835	27	40	altogether	altogether	ADV
cana-1835	27	41	.	.	PUNCT
cana-1835	28	1	ophthalmic	ophthalmic	ADJ
cana-1835	28	2	separation	separation	NOUN
cana-1835	28	3	,	,	PUNCT
cana-1835	28	4	hemorrhage	hemorrhage	NOUN
cana-1835	28	5	,	,	PUNCT
cana-1835	28	6	and	and	CCONJ
cana-1835	28	7	genetic	genetic	ADJ
cana-1835	28	8	deterioration	deterioration	NOUN
cana-1835	28	9	all	all	PRON
cana-1835	28	10	were	be	AUX
cana-1835	28	11	evaluated	evaluate	VERB
cana-1835	28	12	as	as	ADP
cana-1835	28	13	parts	part	NOUN
cana-1835	28	14	of	of	ADP
cana-1835	28	15	a	a	DET
cana-1835	28	16	screening	screening	NOUN
cana-1835	28	17	process	process	NOUN
cana-1835	28	18	.	.	PUNCT
cana-1835	29	1	the	the	DET
cana-1835	29	2	resultant	resultant	NOUN
cana-1835	29	3	method	method	NOUN
cana-1835	29	4	of	of	ADP
cana-1835	29	5	selecting	selecting	NOUN
cana-1835	29	6	was	be	AUX
cana-1835	29	7	subject	subject	ADJ
cana-1835	29	8	to	to	ADP
cana-1835	29	9	an	an	DET
cana-1835	29	10	inter	inter	ADJ
cana-1835	29	11	analysis	analysis	NOUN
cana-1835	29	12	mechanism	mechanism	NOUN
cana-1835	29	13	in	in	ADP
cana-1835	29	14	order	order	NOUN
cana-1835	29	15	to	to	PART
cana-1835	29	16	address	address	VERB
cana-1835	29	17	issues	issue	NOUN
cana-1835	29	18	about	about	ADP
cana-1835	29	19	the	the	DET
cana-1835	29	20	handling	handling	NOUN
cana-1835	29	21	of	of	ADP
cana-1835	29	22	similar	similar	ADJ
cana-1835	29	23	characteristics	characteristic	NOUN
cana-1835	29	24	.	.	PUNCT
cana-1835	30	1	eventually	eventually	ADV
cana-1835	30	2	,	,	PUNCT
cana-1835	30	3	discrete	discrete	ADJ
cana-1835	30	4	wavelet	wavelet	NOUN
cana-1835	30	5	transform	transform	NOUN
cana-1835	30	6	and	and	CCONJ
cana-1835	30	7	algorithmic	algorithmic	ADJ
cana-1835	30	8	methods	method	NOUN
cana-1835	30	9	for	for	ADP
cana-1835	30	10	machine	machine	NOUN
cana-1835	30	11	learning	learning	NOUN
cana-1835	30	12	were	be	AUX
cana-1835	30	13	employed	employ	VERB
cana-1835	30	14	to	to	PART
cana-1835	30	15	perform	perform	VERB
cana-1835	30	16	efficient	efficient	ADJ
cana-1835	30	17	classification	classification	NOUN
cana-1835	30	18	,	,	PUNCT
cana-1835	30	19	which	which	PRON
cana-1835	30	20	enhanced	enhance	VERB
cana-1835	30	21	the	the	DET
cana-1835	30	22	precision	precision	NOUN
cana-1835	30	23	of	of	ADP
cana-1835	30	24	disease	disease	NOUN
cana-1835	30	25	diagnosis	diagnosis	NOUN
cana-1835	30	26	.	.	PUNCT
cana-1835	31	1	the	the	DET
cana-1835	31	2	application	application	NOUN
cana-1835	31	3	of	of	ADP
cana-1835	31	4	optical	optical	ADJ
cana-1835	31	5	coherence	coherence	NOUN
cana-1835	31	6	tomography	tomography	NOUN
cana-1835	31	7	angiogram	angiogram	NOUN
cana-1835	31	8	(	(	PUNCT
cana-1835	31	9	octa	octa	NOUN
cana-1835	31	10	)	)	PUNCT
cana-1835	31	11	images	image	NOUN
cana-1835	31	12	in	in	ADP
cana-1835	31	13	computerized	computerized	ADJ
cana-1835	31	14	disease	disease	NOUN
cana-1835	31	15	prediction	prediction	NOUN
cana-1835	31	16	employing	employ	VERB
cana-1835	31	17	contrasting	contrast	VERB
cana-1835	31	18	restricted	restrict	VERB
cana-1835	31	19	accelerated	accelerate	VERB
cana-1835	31	20	wavelet	wavelet	NOUN
cana-1835	31	21	transformation	transformation	NOUN
cana-1835	31	22	(	(	PUNCT
cana-1835	31	23	contrast	contrast	NOUN
cana-1835	31	24	limited	limit	VERB
cana-1835	31	25	adaptive	adaptive	ADJ
cana-1835	31	26	histogram	histogram	NOUN
cana-1835	31	27	)	)	PUNCT
cana-1835	31	28	was	be	AUX
cana-1835	31	29	suggested	suggest	VERB
cana-1835	31	30	in	in	ADP
cana-1835	31	31	[	[	X
cana-1835	31	32	2	2	NUM
cana-1835	31	33	]	]	PUNCT
cana-1835	31	34	.	.	PUNCT
cana-1835	32	1	ophthalmic	ophthalmic	ADJ
cana-1835	32	2	scorpion	scorpion	NOUN
cana-1835	32	3	(	(	PUNCT
cana-1835	32	4	os	os	NOUN
cana-1835	32	5	)	)	PUNCT
cana-1835	32	6	or	or	CCONJ
cana-1835	32	7	ophthalmic	ophthalmic	ADJ
cana-1835	32	8	displacement	displacement	NOUN
cana-1835	32	9	(	(	PUNCT
cana-1835	32	10	od	od	NOUN
cana-1835	32	11	)	)	PUNCT
cana-1835	32	12	was	be	AUX
cana-1835	32	13	obtained	obtain	VERB
cana-1835	32	14	from	from	ADP
cana-1835	32	15	of	of	ADP
cana-1835	32	16	the	the	DET
cana-1835	32	17	patients	patient	NOUN
cana-1835	32	18	'	'	PART
cana-1835	32	19	eyes	eye	NOUN
cana-1835	32	20	in	in	ADP
cana-1835	32	21	to	to	PART
cana-1835	32	22	determine	determine	VERB
cana-1835	32	23	whether	whether	SCONJ
cana-1835	32	24	they	they	PRON
cana-1835	32	25	had	have	VERB
cana-1835	32	26	hypertension	hypertension	NOUN
cana-1835	32	27	.	.	PUNCT
cana-1835	33	1	this	this	DET
cana-1835	33	2	regional	regional	ADJ
cana-1835	33	3	phase	phase	NOUN
cana-1835	33	4	classification	classification	NOUN
cana-1835	33	5	(	(	PUNCT
cana-1835	33	6	lpq	lpq	NOUN
cana-1835	33	7	)	)	PUNCT
cana-1835	33	8	technique	technique	NOUN
cana-1835	33	9	then	then	ADV
cana-1835	33	10	was	be	AUX
cana-1835	33	11	employed	employ	VERB
cana-1835	33	12	again	again	ADV
cana-1835	33	13	for	for	ADP
cana-1835	33	14	identification	identification	NOUN
cana-1835	33	15	of	of	ADP
cana-1835	33	16	important	important	ADJ
cana-1835	33	17	components	component	NOUN
cana-1835	33	18	.	.	PUNCT
cana-1835	34	1	inevitably	inevitably	ADV
cana-1835	34	2	,	,	PUNCT
cana-1835	34	3	in	in	ADP
cana-1835	34	4	order	order	NOUN
cana-1835	34	5	to	to	PART
cana-1835	34	6	combine	combine	VERB
cana-1835	34	7	and	and	CCONJ
cana-1835	34	8	reduce	reduce	VERB
cana-1835	34	9	the	the	DET
cana-1835	34	10	features	feature	NOUN
cana-1835	34	11	and	and	CCONJ
cana-1835	34	12	enhance	enhance	VERB
cana-1835	34	13	the	the	DET
cana-1835	34	14	accuracy	accuracy	NOUN
cana-1835	34	15	,	,	PUNCT
cana-1835	34	16	principal	principal	ADJ
cana-1835	34	17	component	component	NOUN
cana-1835	34	18	evaluation	evaluation	NOUN
cana-1835	34	19	and	and	CCONJ
cana-1835	34	20	data	datum	NOUN
cana-1835	34	21	compression	compression	NOUN
cana-1835	34	22	were	be	AUX
cana-1835	34	23	being	be	AUX
cana-1835	34	24	used	use	VERB
cana-1835	34	25	.	.	PUNCT
cana-1835	35	1	we	we	PRON
cana-1835	35	2	propose	propose	VERB
cana-1835	35	3	a	a	DET
cana-1835	35	4	novel	novel	ADJ
cana-1835	35	5	asymmetric	asymmetric	ADJ
cana-1835	35	6	pure	pure	ADJ
cana-1835	35	7	sine	sine	ADJ
cana-1835	35	8	wave	wave	NOUN
cana-1835	35	9	inter	inter	PROPN
cana-1835	35	10	hinged	hinge	VERB
cana-1835	35	11	support	support	NOUN
cana-1835	35	12	machines	machine	NOUN
cana-1835	35	13	classifier	classifier	NOUN
cana-1835	35	14	(	(	PUNCT
cana-1835	35	15	assembler	assembler	NOUN
cana-1835	35	16	)	)	PUNCT
cana-1835	35	17	for	for	ADP
cana-1835	35	18	ophthalmology	ophthalmology	NOUN
cana-1835	35	19	detection	detection	NOUN
cana-1835	35	20	it	it	PRON
cana-1835	35	21	comprises	comprise	VERB
cana-1835	35	22	three	three	NUM
cana-1835	35	23	stages	stage	NOUN
cana-1835	35	24	to	to	PART
cana-1835	35	25	address	address	VERB
cana-1835	35	26	those	those	DET
cana-1835	35	27	problems	problem	NOUN
cana-1835	35	28	.	.	PUNCT
cana-1835	36	1	for	for	ADP
cana-1835	36	2	the	the	DET
cana-1835	36	3	goal	goal	NOUN
cana-1835	36	4	of	of	ADP
cana-1835	36	5	identifying	identify	VERB
cana-1835	36	6	ophthalmology	ophthalmology	NOUN
cana-1835	36	7	,	,	PUNCT
cana-1835	36	8	there	there	PRON
cana-1835	36	9	are	be	VERB
cana-1835	36	10	filtering	filter	VERB
cana-1835	36	11	,	,	PUNCT
cana-1835	36	12	extraction	extraction	NOUN
cana-1835	36	13	and	and	CCONJ
cana-1835	36	14	classification	classification	NOUN
cana-1835	36	15	,	,	PUNCT
cana-1835	36	16	and	and	CCONJ
cana-1835	36	17	categorization	categorization	NOUN
cana-1835	36	18	.	.	PUNCT
cana-1835	37	1	we	we	PRON
cana-1835	37	2	examine	examine	VERB
cana-1835	37	3	the	the	DET
cana-1835	37	4	approach	approach	NOUN
cana-1835	37	5	to	to	PART
cana-1835	37	6	use	use	VERB
cana-1835	37	7	the	the	DET
cana-1835	37	8	discusses	discusse	NOUN
cana-1835	37	9	the	the	DET
cana-1835	37	10	influence	influence	NOUN
cana-1835	37	11	sample	sample	NOUN
cana-1835	37	12	and	and	CCONJ
cana-1835	37	13	a	a	DET
cana-1835	37	14	recently	recently	ADV
cana-1835	37	15	gathered	gather	VERB
cana-1835	37	16	variable	variable	NOUN
cana-1835	37	17	will	will	AUX
cana-1835	37	18	cause	cause	VERB
cana-1835	37	19	data	datum	NOUN
cana-1835	37	20	,	,	PUNCT
cana-1835	37	21	different	different	ADJ
cana-1835	37	22	clinical	clinical	ADJ
cana-1835	37	23	datasets	dataset	NOUN
cana-1835	37	24	.	.	PUNCT
cana-1835	38	1	the	the	DET
cana-1835	38	2	findings	finding	NOUN
cana-1835	38	3	from	from	ADP
cana-1835	38	4	the	the	DET
cana-1835	38	5	research	research	NOUN
cana-1835	38	6	reveal	reveal	VERB
cana-1835	38	7	that	that	SCONJ
cana-1835	38	8	our	our	PRON
cana-1835	38	9	methodology	methodology	NOUN
cana-1835	38	10	is	be	AUX
cana-1835	38	11	preferable	preferable	ADJ
cana-1835	38	12	over	over	ADP
cana-1835	38	13	slashing	slash	VERB
cana-1835	38	14	alternatives	alternative	NOUN
cana-1835	38	15	for	for	ADP
cana-1835	38	16	hypertension	hypertension	NOUN
cana-1835	38	17	diagnosis	diagnosis	NOUN
cana-1835	38	18	.	.	PUNCT
cana-1835	39	1	these	these	DET
cana-1835	39	2	foregoing	forego	VERB
cana-1835	39	3	are	be	AUX
cana-1835	39	4	all	all	DET
cana-1835	39	5	this	this	DET
cana-1835	39	6	paper	paper	NOUN
cana-1835	39	7	's	's	PART
cana-1835	39	8	main	main	ADJ
cana-1835	39	9	contributions	contribution	NOUN
cana-1835	39	10	:	:	PUNCT
cana-1835	39	11	1	1	X
cana-1835	39	12	)	)	PUNCT
cana-1835	39	13	hrough	hrough	ADV
cana-1835	39	14	considering	consider	VERB
cana-1835	39	15	three	three	NUM
cana-1835	39	16	separate	separate	ADJ
cana-1835	39	17	stages	stage	NOUN
cana-1835	39	18	or	or	CCONJ
cana-1835	39	19	components	component	NOUN
cana-1835	39	20	of	of	ADP
cana-1835	39	21	an	an	DET
cana-1835	39	22	optical	optical	ADJ
cana-1835	39	23	picture	picture	NOUN
cana-1835	39	24	,	,	PUNCT
cana-1835	39	25	a	a	DET
cana-1835	39	26	machine	machine	NOUN
cana-1835	39	27	learning	learning	NOUN
cana-1835	39	28	method	method	NOUN
cana-1835	39	29	for	for	ADP
cana-1835	39	30	ophthalmology	ophthalmology	NOUN
cana-1835	39	31	screening	screening	NOUN
cana-1835	39	32	is	be	AUX
cana-1835	39	33	proposed	propose	VERB
cana-1835	39	34	.	.	PUNCT
cana-1835	40	1	the	the	DET
cana-1835	40	2	technique	technique	NOUN
cana-1835	40	3	produces	produce	VERB
cana-1835	40	4	promising	promise	VERB
cana-1835	40	5	results	result	NOUN
cana-1835	40	6	because	because	SCONJ
cana-1835	40	7	it	it	PRON
cana-1835	40	8	may	may	AUX
cana-1835	40	9	be	be	AUX
cana-1835	40	10	enhanced	enhance	VERB
cana-1835	40	11	more	more	ADV
cana-1835	40	12	according	accord	VERB
cana-1835	40	13	to	to	ADP
cana-1835	40	14	current	current	ADJ
cana-1835	40	15	retinal	retinal	ADJ
cana-1835	40	16	identification	identification	NOUN
cana-1835	40	17	techniques	technique	NOUN
cana-1835	40	18	.	.	PUNCT
cana-1835	41	1	2	2	NUM
cana-1835	41	2	)	)	PUNCT
cana-1835	41	3	in	in	ADP
cana-1835	41	4	contrast	contrast	NOUN
cana-1835	41	5	towards	towards	ADP
cana-1835	41	6	the	the	DET
cana-1835	41	7	computational	computational	ADJ
cana-1835	41	8	framework	framework	NOUN
cana-1835	41	9	,	,	PUNCT
cana-1835	41	10	they	they	PRON
cana-1835	41	11	additionally	additionally	ADV
cana-1835	41	12	provide	provide	VERB
cana-1835	41	13	a	a	DET
cana-1835	41	14	breakthrough	breakthrough	NOUN
cana-1835	41	15	wedge	wedge	NOUN
cana-1835	41	16	shaped	shape	VERB
cana-1835	41	17	local	local	ADJ
cana-1835	41	18	derivative	derivative	ADJ
cana-1835	41	19	pre	pre	NOUN
cana-1835	41	20	processor	processor	NOUN
cana-1835	41	21	algorithm	algorithm	NOUN
cana-1835	41	22	significantly	significantly	ADV
cana-1835	41	23	decreases	decrease	VERB
cana-1835	41	24	the	the	DET
cana-1835	41	25	duration	duration	NOUN
cana-1835	41	26	required	require	VERB
cana-1835	41	27	to	to	PART
cana-1835	41	28	identify	identify	VERB
cana-1835	41	29	ophthalmology	ophthalmology	NOUN
cana-1835	41	30	by	by	ADP
cana-1835	41	31	extracting	extract	VERB
cana-1835	41	32	the	the	DET
cana-1835	41	33	most	most	ADV
cana-1835	41	34	important	important	ADJ
cana-1835	41	35	features	feature	NOUN
cana-1835	41	36	by	by	ADP
cana-1835	41	37	combining	combine	VERB
cana-1835	41	38	the	the	DET
cana-1835	41	39	positions	position	NOUN
cana-1835	41	40	of	of	ADP
cana-1835	41	41	neighboring	neighboring	NOUN
cana-1835	41	42	pixels	pixel	NOUN
cana-1835	41	43	with	with	ADP
cana-1835	41	44	nearby	nearby	ADJ
cana-1835	41	45	angular	angular	ADJ
cana-1835	41	46	displacement	displacement	NOUN
cana-1835	41	47	.	.	PUNCT
cana-1835	42	1	3	3	X
cana-1835	42	2	)	)	PUNCT
cana-1835	42	3	to	to	PART
cana-1835	42	4	develop	develop	VERB
cana-1835	42	5	a	a	DET
cana-1835	42	6	pure	pure	ADJ
cana-1835	42	7	sine	sine	ADJ
cana-1835	42	8	wave	wave	NOUN
cana-1835	42	9	continuous	continuous	ADJ
cana-1835	42	10	single	single	ADJ
cana-1835	42	11	input	input	NOUN
cana-1835	42	12	single	single	ADJ
cana-1835	42	13	probabilistic	probabilistic	ADJ
cana-1835	42	14	extraction	extraction	NOUN
cana-1835	42	15	technique	technique	NOUN
cana-1835	42	16	that	that	PRON
cana-1835	42	17	will	will	AUX
cana-1835	42	18	extract	extract	VERB
cana-1835	42	19	the	the	DET
cana-1835	42	20	important	important	ADJ
cana-1835	42	21	feature	feature	NOUN
cana-1835	42	22	utilizing	utilize	VERB
cana-1835	42	23	geographical	geographical	ADJ
cana-1835	42	24	values	value	NOUN
cana-1835	42	25	as	as	ADV
cana-1835	42	26	well	well	ADV
cana-1835	42	27	as	as	ADP
cana-1835	42	28	the	the	DET
cana-1835	42	29	stochastic	stochastic	ADJ
cana-1835	42	30	distribution	distribution	NOUN
cana-1835	42	31	functions	function	NOUN
cana-1835	42	32	,	,	PUNCT
cana-1835	42	33	increasing	increase	VERB
cana-1835	42	34	the	the	DET
cana-1835	42	35	efficiency	efficiency	NOUN
cana-1835	42	36	of	of	ADP
cana-1835	42	37	disease	disease	NOUN
cana-1835	42	38	prediction	prediction	NOUN
cana-1835	42	39	..	..	PUNCT
cana-1835	42	40	communications	communication	NOUN
cana-1835	42	41	on	on	ADP
cana-1835	42	42	applied	apply	VERB
cana-1835	42	43	nonlinear	nonlinear	ADJ
cana-1835	42	44	analysis	analysis	NOUN
cana-1835	42	45	issn	issn	NOUN
cana-1835	42	46	:	:	PUNCT
cana-1835	42	47	1074	1074	NUM
cana-1835	42	48	-	-	PUNCT
cana-1835	42	49	133x	133x	NUM
cana-1835	42	50	vol	vol	NOUN
cana-1835	42	51	32	32	NUM
cana-1835	42	52	no	no	NOUN
cana-1835	42	53	.	.	NOUN
cana-1835	42	54	2	2	NUM
cana-1835	42	55	(	(	PUNCT
cana-1835	42	56	2025	2025	NUM
cana-1835	42	57	)	)	PUNCT
cana-1835	42	58	595	595	NUM
cana-1835	42	59	https://internationalpubls.com	https://internationalpubls.com	X
cana-1835	42	60	4	4	NUM
cana-1835	42	61	)	)	PUNCT
cana-1835	42	62	to	to	PART
cana-1835	42	63	provide	provide	VERB
cana-1835	42	64	a	a	DET
cana-1835	42	65	non	non	ADJ
cana-1835	42	66	linear	linear	NOUN
cana-1835	42	67	and	and	CCONJ
cana-1835	42	68	nonlinear	nonlinear	ADJ
cana-1835	42	69	hinged	hinge	VERB
cana-1835	42	70	vector	vector	NOUN
cana-1835	42	71	support	support	NOUN
cana-1835	42	72	ophthalmology	ophthalmology	NOUN
cana-1835	42	73	detection	detection	NOUN
cana-1835	42	74	technique	technique	NOUN
cana-1835	42	75	which	which	PRON
cana-1835	42	76	maximizes	maximize	VERB
cana-1835	42	77	its	its	PRON
cana-1835	42	78	distance	distance	NOUN
cana-1835	42	79	from	from	ADP
cana-1835	42	80	every	every	DET
cana-1835	42	81	group	group	NOUN
cana-1835	42	82	towards	towards	ADP
cana-1835	42	83	the	the	DET
cana-1835	42	84	subsequent	subsequent	ADJ
cana-1835	42	85	class	class	NOUN
cana-1835	42	86	,	,	PUNCT
cana-1835	42	87	thereby	thereby	ADV
cana-1835	42	88	enhancing	enhance	VERB
cana-1835	42	89	sensitivities	sensitivity	NOUN
cana-1835	42	90	across	across	ADP
cana-1835	42	91	four	four	NUM
cana-1835	42	92	different	different	ADJ
cana-1835	42	93	classifications	classification	NOUN
cana-1835	42	94	(	(	PUNCT
cana-1835	42	95	normal	normal	ADJ
cana-1835	42	96	,	,	PUNCT
cana-1835	42	97	cnv	cnv	PROPN
cana-1835	42	98	,	,	PUNCT
cana-1835	42	99	dme	dme	PROPN
cana-1835	42	100	and	and	CCONJ
cana-1835	42	101	drusen	drusen	PROPN
cana-1835	42	102	)	)	PUNCT
cana-1835	42	103	.	.	PUNCT
cana-1835	43	1	5	5	X
cana-1835	43	2	)	)	PUNCT
cana-1835	43	3	the	the	DET
cana-1835	43	4	efficiency	efficiency	NOUN
cana-1835	43	5	of	of	ADP
cana-1835	43	6	the	the	DET
cana-1835	43	7	vertical	vertical	ADJ
cana-1835	43	8	harmonic	harmonic	ADJ
cana-1835	43	9	oscillator	oscillator	NOUN
cana-1835	43	10	inter	inter	NOUN
cana-1835	43	11	hinged	hinge	VERB
cana-1835	43	12	supporting	support	VERB
cana-1835	43	13	machine	machine	NOUN
cana-1835	43	14	learners	learner	NOUN
cana-1835	43	15	(	(	PUNCT
cana-1835	43	16	assembler	assembler	NOUN
cana-1835	43	17	)	)	PUNCT
cana-1835	43	18	with	with	ADP
cana-1835	43	19	terms	term	NOUN
cana-1835	43	20	of	of	ADP
cana-1835	43	21	ophthalmology	ophthalmology	NOUN
cana-1835	43	22	detection	detection	NOUN
cana-1835	43	23	rate	rate	NOUN
cana-1835	43	24	,	,	PUNCT
cana-1835	43	25	efficiency	efficiency	NOUN
cana-1835	43	26	,	,	PUNCT
cana-1835	43	27	and	and	CCONJ
cana-1835	43	28	specificity	specificity	NOUN
cana-1835	43	29	has	have	AUX
cana-1835	43	30	indeed	indeed	ADV
cana-1835	43	31	been	be	AUX
cana-1835	43	32	assessed	assess	VERB
cana-1835	43	33	using	use	VERB
cana-1835	43	34	experiments	experiment	NOUN
cana-1835	43	35	..	..	PUNCT
cana-1835	44	1	the	the	DET
cana-1835	44	2	article	article	NOUN
cana-1835	44	3	is	be	AUX
cana-1835	44	4	constructed	construct	VERB
cana-1835	44	5	out	out	ADP
cana-1835	44	6	as	as	SCONJ
cana-1835	44	7	follows	follow	VERB
cana-1835	44	8	:	:	PUNCT
cana-1835	44	9	the	the	DET
cana-1835	44	10	topic	topic	NOUN
cana-1835	44	11	of	of	ADP
cana-1835	44	12	optical	optical	ADJ
cana-1835	44	13	images	image	NOUN
cana-1835	44	14	for	for	ADP
cana-1835	44	15	disease	disease	NOUN
cana-1835	44	16	diagnosis	diagnosis	NOUN
cana-1835	44	17	employing	employ	VERB
cana-1835	44	18	machine	machine	NOUN
cana-1835	44	19	learning	learn	VERB
cana-1835	44	20	techniques	technique	NOUN
cana-1835	44	21	is	be	AUX
cana-1835	44	22	addressed	address	VERB
cana-1835	44	23	in	in	ADP
cana-1835	44	24	part	part	NOUN
cana-1835	44	25	2	2	NUM
cana-1835	44	26	along	along	ADP
cana-1835	44	27	with	with	ADP
cana-1835	44	28	some	some	DET
cana-1835	44	29	common	common	ADJ
cana-1835	44	30	issues	issue	NOUN
cana-1835	44	31	.	.	PUNCT
cana-1835	45	1	the	the	DET
cana-1835	45	2	vertical	vertical	ADJ
cana-1835	45	3	harmonic	harmonic	ADJ
cana-1835	45	4	oscillator	oscillator	NOUN
cana-1835	45	5	inter	inter	NOUN
cana-1835	45	6	hinged	hinge	VERB
cana-1835	45	7	support	support	VERB
cana-1835	45	8	artificial	artificial	ADJ
cana-1835	45	9	learners	learner	NOUN
cana-1835	45	10	(	(	PUNCT
cana-1835	45	11	asm	asm	NOUN
cana-1835	45	12	-	-	PUNCT
cana-1835	45	13	hsml	hsml	NOUN
cana-1835	45	14	)	)	PUNCT
cana-1835	45	15	methodology	methodology	NOUN
cana-1835	45	16	to	to	ADP
cana-1835	45	17	ophthalmology	ophthalmology	NOUN
cana-1835	45	18	detection	detection	NOUN
cana-1835	45	19	from	from	ADP
cana-1835	45	20	of	of	ADP
cana-1835	45	21	the	the	DET
cana-1835	45	22	image	image	NOUN
cana-1835	45	23	data	datum	NOUN
cana-1835	45	24	is	be	AUX
cana-1835	45	25	discussed	discuss	VERB
cana-1835	45	26	in	in	ADP
cana-1835	45	27	section	section	NOUN
cana-1835	45	28	3	3	NUM
cana-1835	45	29	.	.	PUNCT
cana-1835	46	1	these	these	DET
cana-1835	46	2	same	same	ADJ
cana-1835	46	3	investigational	investigational	ADJ
cana-1835	46	4	configurations	configuration	NOUN
cana-1835	46	5	have	have	AUX
cana-1835	46	6	been	be	AUX
cana-1835	46	7	laid	lay	VERB
cana-1835	46	8	out	out	ADP
cana-1835	46	9	in	in	ADP
cana-1835	46	10	section	section	NOUN
cana-1835	46	11	4	4	NUM
cana-1835	46	12	already	already	ADV
cana-1835	46	13	when	when	SCONJ
cana-1835	46	14	fifth	fifth	ADJ
cana-1835	46	15	section	section	NOUN
cana-1835	46	16	considers	consider	VERB
cana-1835	46	17	the	the	DET
cana-1835	46	18	results	result	NOUN
cana-1835	46	19	of	of	ADP
cana-1835	46	20	the	the	DET
cana-1835	46	21	implementation	implementation	NOUN
cana-1835	46	22	of	of	ADP
cana-1835	46	23	the	the	DET
cana-1835	46	24	recommended	recommend	VERB
cana-1835	46	25	assembler	assembler	NOUN
cana-1835	46	26	technique	technique	NOUN
cana-1835	46	27	and	and	CCONJ
cana-1835	46	28	achievement	achievement	NOUN
cana-1835	46	29	parameters	parameter	NOUN
cana-1835	46	30	to	to	PART
cana-1835	46	31	determine	determine	VERB
cana-1835	46	32	the	the	DET
cana-1835	46	33	suggested	suggest	VERB
cana-1835	46	34	work	work	NOUN
cana-1835	46	35	's	's	PART
cana-1835	46	36	eye	eye	NOUN
cana-1835	46	37	disease	disease	NOUN
cana-1835	46	38	time	time	NOUN
cana-1835	46	39	consumption	consumption	NOUN
cana-1835	46	40	,	,	PUNCT
cana-1835	46	41	accurateness	accurateness	NOUN
cana-1835	46	42	,	,	PUNCT
cana-1835	46	43	and	and	CCONJ
cana-1835	46	44	specificity	specificity	NOUN
cana-1835	46	45	,	,	PUNCT
cana-1835	46	46	in	in	ADP
cana-1835	46	47	addition	addition	NOUN
cana-1835	46	48	to	to	ADP
cana-1835	46	49	a	a	DET
cana-1835	46	50	comprehensive	comprehensive	ADJ
cana-1835	46	51	correlation	correlation	NOUN
cana-1835	46	52	with	with	ADP
cana-1835	46	53	both	both	CCONJ
cana-1835	46	54	the	the	DET
cana-1835	46	55	legislature	legislature	NOUN
cana-1835	46	56	functions	function	NOUN
cana-1835	46	57	.	.	PUNCT
cana-1835	47	1	the	the	DET
cana-1835	47	2	results	result	NOUN
cana-1835	47	3	and	and	CCONJ
cana-1835	47	4	important	important	ADJ
cana-1835	47	5	findings	finding	NOUN
cana-1835	47	6	for	for	ADP
cana-1835	47	7	the	the	DET
cana-1835	47	8	suggested	suggest	VERB
cana-1835	47	9	method	method	NOUN
cana-1835	47	10	are	be	AUX
cana-1835	47	11	addressed	address	VERB
cana-1835	47	12	in	in	ADP
cana-1835	47	13	section	section	NOUN
cana-1835	47	14	6	6	NUM
cana-1835	47	15	.	.	NOUN
cana-1835	47	16	1	1	NUM
cana-1835	47	17	.	.	NUM
cana-1835	47	18	related	relate	VERB
cana-1835	47	19	works	work	VERB
cana-1835	47	20	the	the	DET
cana-1835	47	21	most	most	ADV
cana-1835	47	22	common	common	ADJ
cana-1835	47	23	irrevocable	irrevocable	ADJ
cana-1835	47	24	central	central	ADJ
cana-1835	47	25	nervous	nervous	ADJ
cana-1835	47	26	system	system	NOUN
cana-1835	47	27	vision	vision	NOUN
cana-1835	47	28	disorders	disorder	NOUN
cana-1835	47	29	that	that	PRON
cana-1835	47	30	contributes	contribute	VERB
cana-1835	47	31	to	to	ADP
cana-1835	47	32	disability	disability	NOUN
cana-1835	47	33	is	be	AUX
cana-1835	47	34	ophthalmology	ophthalmology	NOUN
cana-1835	47	35	,	,	PUNCT
cana-1835	47	36	as	as	ADP
cana-1835	47	37	according	accord	VERB
cana-1835	47	38	researchers	researcher	NOUN
cana-1835	47	39	.	.	PUNCT
cana-1835	48	1	thereby	thereby	ADV
cana-1835	48	2	,	,	PUNCT
cana-1835	48	3	periodic	periodic	ADJ
cana-1835	48	4	medical	medical	ADJ
cana-1835	48	5	checkups	checkup	NOUN
cana-1835	48	6	for	for	ADP
cana-1835	48	7	prospective	prospective	ADJ
cana-1835	48	8	patients	patient	NOUN
cana-1835	48	9	presenting	present	VERB
cana-1835	48	10	were	be	AUX
cana-1835	48	11	essential	essential	ADJ
cana-1835	48	12	for	for	ADP
cana-1835	48	13	promoting	promote	VERB
cana-1835	48	14	the	the	DET
cana-1835	48	15	clinical	clinical	ADJ
cana-1835	48	16	recognition	recognition	NOUN
cana-1835	48	17	of	of	ADP
cana-1835	48	18	the	the	DET
cana-1835	48	19	disease	disease	NOUN
cana-1835	48	20	.	.	PUNCT
cana-1835	49	1	in	in	SCONJ
cana-1835	49	2	to	to	PART
cana-1835	49	3	automatically	automatically	ADV
cana-1835	49	4	identify	identify	VERB
cana-1835	49	5	hypertension	hypertension	NOUN
cana-1835	49	6	,	,	PUNCT
cana-1835	49	7	separation	separation	NOUN
cana-1835	49	8	of	of	ADP
cana-1835	49	9	an	an	DET
cana-1835	49	10	eye	eye	NOUN
cana-1835	49	11	image	image	NOUN
cana-1835	49	12	or	or	CCONJ
cana-1835	49	13	cups	cup	NOUN
cana-1835	49	14	were	be	AUX
cana-1835	49	15	carried	carry	VERB
cana-1835	49	16	out	out	ADP
cana-1835	49	17	in	in	ADP
cana-1835	49	18	a	a	DET
cana-1835	49	19	machine	machine	NOUN
cana-1835	49	20	learning	learn	VERB
cana-1835	49	21	with	with	ADP
cana-1835	49	22	cnn	cnn	PROPN
cana-1835	49	23	investigation	investigation	NOUN
cana-1835	49	24	[	[	X
cana-1835	49	25	3	3	NUM
cana-1835	49	26	]	]	PUNCT
cana-1835	49	27	.	.	PUNCT
cana-1835	50	1	overall	overall	ADJ
cana-1835	50	2	implementation	implementation	NOUN
cana-1835	50	3	of	of	ADP
cana-1835	50	4	a	a	DET
cana-1835	50	5	selected	select	VERB
cana-1835	50	6	segmentation	segmentation	NOUN
cana-1835	50	7	technique	technique	NOUN
cana-1835	50	8	as	as	ADV
cana-1835	50	9	well	well	ADV
cana-1835	50	10	as	as	ADP
cana-1835	50	11	the	the	DET
cana-1835	50	12	characteristics	characteristic	NOUN
cana-1835	50	13	being	be	AUX
cana-1835	50	14	retrieved	retrieve	VERB
cana-1835	50	15	was	be	AUX
cana-1835	50	16	stated	state	VERB
cana-1835	50	17	to	to	PART
cana-1835	50	18	have	have	VERB
cana-1835	50	19	a	a	DET
cana-1835	50	20	significant	significant	ADJ
cana-1835	50	21	effect	effect	NOUN
cana-1835	50	22	on	on	ADP
cana-1835	50	23	the	the	DET
cana-1835	50	24	majority	majority	NOUN
cana-1835	50	25	of	of	ADP
cana-1835	50	26	the	the	DET
cana-1835	50	27	current	current	ADJ
cana-1835	50	28	techniques	technique	NOUN
cana-1835	50	29	for	for	ADP
cana-1835	50	30	ophthalmology	ophthalmology	NOUN
cana-1835	50	31	assessment	assessment	NOUN
cana-1835	50	32	employing	employ	VERB
cana-1835	50	33	retina	retina	NOUN
cana-1835	50	34	images	image	NOUN
cana-1835	50	35	,	,	PUNCT
cana-1835	50	36	that	that	PRON
cana-1835	50	37	heavily	heavily	ADV
cana-1835	50	38	depended	depend	VERB
cana-1835	50	39	upon	upon	SCONJ
cana-1835	50	40	attributes	attribute	NOUN
cana-1835	50	41	based	base	VERB
cana-1835	50	42	on	on	ADP
cana-1835	50	43	handcrafting	handcraft	VERB
cana-1835	50	44	.	.	PUNCT
cana-1835	51	1	for	for	ADP
cana-1835	51	2	automatic	automatic	ADJ
cana-1835	51	3	ophthalmology	ophthalmology	NOUN
cana-1835	51	4	assessment	assessment	NOUN
cana-1835	51	5	,	,	PUNCT
cana-1835	51	6	five	five	NUM
cana-1835	51	7	different	different	ADJ
cana-1835	51	8	image	image	NOUN
cana-1835	51	9	network	network	NOUN
cana-1835	51	10	help	help	AUX
cana-1835	51	11	make	make	VERB
cana-1835	51	12	decisions	decision	NOUN
cana-1835	51	13	were	be	AUX
cana-1835	51	14	employed	employ	VERB
cana-1835	52	1	[	[	PUNCT
cana-1835	52	2	4	4	NUM
cana-1835	52	3	]	]	PUNCT
cana-1835	52	4	,	,	PUNCT
cana-1835	52	5	which	which	PRON
cana-1835	52	6	then	then	ADV
cana-1835	52	7	in	in	ADP
cana-1835	52	8	return	return	NOUN
cana-1835	52	9	perfectly	perfectly	ADV
cana-1835	52	10	alright	alright	INTJ
cana-1835	52	11	overall	overall	ADJ
cana-1835	52	12	overall	overall	ADJ
cana-1835	52	13	process	process	NOUN
cana-1835	52	14	.	.	PUNCT
cana-1835	53	1	to	to	PART
cana-1835	53	2	differentiate	differentiate	VERB
cana-1835	53	3	among	among	ADP
cana-1835	53	4	healthful	healthful	ADJ
cana-1835	53	5	and	and	CCONJ
cana-1835	53	6	abnormal	abnormal	ADJ
cana-1835	53	7	inflammatory	inflammatory	ADJ
cana-1835	53	8	images	image	NOUN
cana-1835	53	9	,	,	PUNCT
cana-1835	53	10	once	once	ADV
cana-1835	53	11	again	again	ADV
cana-1835	53	12	another	another	DET
cana-1835	53	13	methodology	methodology	NOUN
cana-1835	53	14	comprising	comprise	VERB
cana-1835	53	15	the	the	DET
cana-1835	53	16	combination	combination	NOUN
cana-1835	53	17	of	of	ADP
cana-1835	53	18	adaptive	adaptive	ADJ
cana-1835	53	19	filtering	filter	VERB
cana-1835	53	20	statistically	statistically	ADV
cana-1835	53	21	or	or	CCONJ
cana-1835	53	22	texture	texture	ADJ
cana-1835	53	23	features	feature	NOUN
cana-1835	53	24	was	be	AUX
cana-1835	53	25	evaluated	evaluate	VERB
cana-1835	53	26	from	from	ADP
cana-1835	53	27	of	of	ADP
cana-1835	53	28	the	the	DET
cana-1835	53	29	identified	identify	VERB
cana-1835	53	30	visual	visual	ADJ
cana-1835	53	31	acuity	acuity	NOUN
cana-1835	53	32	region	region	NOUN
cana-1835	53	33	.	.	PUNCT
cana-1835	54	1	principal	principal	ADJ
cana-1835	54	2	open	open	ADJ
cana-1835	54	3	-	-	PUNCT
cana-1835	54	4	angle	angle	NOUN
cana-1835	54	5	hypertension	hypertension	NOUN
cana-1835	54	6	,	,	PUNCT
cana-1835	54	7	angular	angular	ADJ
cana-1835	54	8	velocity	velocity	NOUN
cana-1835	54	9	ophthalmology	ophthalmology	NOUN
cana-1835	54	10	,	,	PUNCT
cana-1835	54	11	tertiary	tertiary	ADJ
cana-1835	54	12	macular	macular	ADJ
cana-1835	54	13	degeneration	degeneration	NOUN
cana-1835	54	14	,	,	PUNCT
cana-1835	54	15	and	and	CCONJ
cana-1835	54	16	medium	medium	ADJ
cana-1835	54	17	pressure	pressure	NOUN
cana-1835	54	18	eye	eye	NOUN
cana-1835	54	19	diseases	disease	NOUN
cana-1835	54	20	are	be	AUX
cana-1835	54	21	really	really	ADV
cana-1835	54	22	the	the	DET
cana-1835	54	23	four	four	NUM
cana-1835	54	24	basic	basic	ADJ
cana-1835	54	25	elements	element	NOUN
cana-1835	54	26	of	of	ADP
cana-1835	54	27	eye	eye	NOUN
cana-1835	54	28	diseases	disease	NOUN
cana-1835	54	29	which	which	PRON
cana-1835	54	30	are	be	AUX
cana-1835	54	31	widely	widely	ADV
cana-1835	54	32	acknowledged	acknowledge	VERB
cana-1835	54	33	.	.	PUNCT
cana-1835	55	1	your	your	PRON
cana-1835	55	2	naked	naked	ADJ
cana-1835	55	3	eye	eye	NOUN
cana-1835	55	4	is	be	AUX
cana-1835	55	5	thus	thus	ADV
cana-1835	55	6	considered	consider	VERB
cana-1835	55	7	to	to	PART
cana-1835	55	8	just	just	ADV
cana-1835	55	9	be	be	AUX
cana-1835	55	10	susceptible	susceptible	ADJ
cana-1835	55	11	enough	enough	ADV
cana-1835	55	12	in	in	ADP
cana-1835	55	13	the	the	DET
cana-1835	55	14	contemporary	contemporary	ADJ
cana-1835	55	15	world	world	NOUN
cana-1835	55	16	to	to	PART
cana-1835	55	17	acquire	acquire	VERB
cana-1835	55	18	an	an	DET
cana-1835	55	19	irrevocable	irrevocable	ADJ
cana-1835	55	20	abnormality	abnormality	NOUN
cana-1835	55	21	.	.	PUNCT
cana-1835	56	1	with	with	ADP
cana-1835	56	2	goal	goal	NOUN
cana-1835	56	3	of	of	ADP
cana-1835	56	4	generating	generate	VERB
cana-1835	56	5	smoother	smooth	ADJ
cana-1835	56	6	retinal	retinal	ADJ
cana-1835	56	7	images	image	NOUN
cana-1835	56	8	shapes	shape	NOUN
cana-1835	56	9	and	and	CCONJ
cana-1835	56	10	correctly	correctly	ADV
cana-1835	56	11	classifying	classify	VERB
cana-1835	56	12	retina	retina	NOUN
cana-1835	56	13	pictures	picture	NOUN
cana-1835	56	14	,	,	PUNCT
cana-1835	56	15	a	a	DET
cana-1835	56	16	novel	novel	ADJ
cana-1835	56	17	method	method	NOUN
cana-1835	56	18	focused	focus	VERB
cana-1835	56	19	upon	upon	SCONJ
cana-1835	56	20	edge	edge	NOUN
cana-1835	56	21	edge	edge	NOUN
cana-1835	56	22	detection	detection	NOUN
cana-1835	56	23	with	with	ADP
cana-1835	56	24	line	line	NOUN
cana-1835	56	25	contours	contours	NOUN
cana-1835	56	26	combining	combine	VERB
cana-1835	56	27	were	be	AUX
cana-1835	56	28	presented	present	VERB
cana-1835	56	29	throughout	throughout	ADP
cana-1835	56	30	[	[	X
cana-1835	56	31	6	6	NUM
cana-1835	56	32	]	]	PUNCT
cana-1835	56	33	.	.	PUNCT
cana-1835	57	1	in	in	ADP
cana-1835	57	2	respect	respect	NOUN
cana-1835	57	3	of	of	ADP
cana-1835	57	4	the	the	DET
cana-1835	57	5	its	its	PRON
cana-1835	57	6	three	three	NUM
cana-1835	57	7	different	different	ADJ
cana-1835	57	8	approaches	approach	NOUN
cana-1835	57	9	,	,	PUNCT
cana-1835	57	10	responsiveness	responsiveness	NOUN
cana-1835	57	11	,	,	PUNCT
cana-1835	57	12	specificity	specificity	NOUN
cana-1835	57	13	,	,	PUNCT
cana-1835	57	14	and	and	CCONJ
cana-1835	57	15	accuracy	accuracy	NOUN
cana-1835	57	16	rate	rate	NOUN
cana-1835	57	17	,	,	PUNCT
cana-1835	57	18	yet	yet	ADV
cana-1835	57	19	again	again	ADV
cana-1835	57	20	another	another	DET
cana-1835	57	21	splitting	splitting	NOUN
cana-1835	57	22	machine	machine	NOUN
cana-1835	57	23	classification	classification	NOUN
cana-1835	57	24	technique	technique	NOUN
cana-1835	57	25	[	[	X
cana-1835	57	26	7	7	NUM
cana-1835	57	27	]	]	PUNCT
cana-1835	57	28	were	be	AUX
cana-1835	57	29	brought	bring	VERB
cana-1835	57	30	out	out	ADP
cana-1835	57	31	now	now	ADV
cana-1835	57	32	and	and	CCONJ
cana-1835	57	33	improved	improve	VERB
cana-1835	57	34	.	.	PUNCT
cana-1835	58	1	the	the	DET
cana-1835	58	2	preponderance	preponderance	NOUN
cana-1835	58	3	of	of	ADP
cana-1835	58	4	the	the	DET
cana-1835	58	5	computerized	computerized	ADJ
cana-1835	58	6	ophthalmology	ophthalmology	NOUN
cana-1835	58	7	automatic	automatic	ADJ
cana-1835	58	8	detection	detection	NOUN
cana-1835	58	9	currently	currently	ADV
cana-1835	58	10	in	in	ADP
cana-1835	58	11	practice	practice	NOUN
cana-1835	58	12	initially	initially	ADV
cana-1835	58	13	segments	segment	VERB
cana-1835	58	14	their	their	PRON
cana-1835	58	15	basic	basic	ADJ
cana-1835	58	16	structure	structure	NOUN
cana-1835	58	17	prior	prior	ADV
cana-1835	58	18	subsequently	subsequently	ADV
cana-1835	58	19	analyzing	analyze	VERB
cana-1835	58	20	the	the	DET
cana-1835	58	21	clinical	clinical	ADJ
cana-1835	58	22	examination	examination	NOUN
cana-1835	58	23	for	for	ADP
cana-1835	58	24	vision	vision	NOUN
cana-1835	58	25	diagnosis	diagnosis	NOUN
cana-1835	58	26	and	and	CCONJ
cana-1835	58	27	monitoring	monitoring	NOUN
cana-1835	58	28	.	.	PUNCT
cana-1835	59	1	even	even	ADV
cana-1835	59	2	so	so	ADV
cana-1835	59	3	,	,	PUNCT
cana-1835	59	4	these	these	PRON
cana-1835	59	5	measuring	measure	VERB
cana-1835	59	6	device	device	NOUN
cana-1835	59	7	techniques	technique	NOUN
cana-1835	59	8	solely	solely	ADV
cana-1835	59	9	rely	rely	VERB
cana-1835	59	10	just	just	ADV
cana-1835	59	11	on	on	SCONJ
cana-1835	59	12	communications	communication	NOUN
cana-1835	59	13	on	on	ADP
cana-1835	59	14	applied	apply	VERB
cana-1835	59	15	nonlinear	nonlinear	ADJ
cana-1835	59	16	analysis	analysis	NOUN
cana-1835	59	17	issn	issn	NOUN
cana-1835	59	18	:	:	PUNCT
cana-1835	59	19	1074	1074	NUM
cana-1835	59	20	-	-	PUNCT
cana-1835	59	21	133x	133x	NUM
cana-1835	59	22	vol	vol	NOUN
cana-1835	59	23	32	32	NUM
cana-1835	59	24	no	no	NOUN
cana-1835	59	25	.	.	NOUN
cana-1835	59	26	2	2	NUM
cana-1835	59	27	(	(	PUNCT
cana-1835	59	28	2025	2025	NUM
cana-1835	59	29	)	)	PUNCT
cana-1835	59	30	596	596	NUM
cana-1835	59	31	https://internationalpubls.com	https://internationalpubls.com	NOUN
cana-1835	59	32	accuracy	accuracy	NOUN
cana-1835	59	33	of	of	ADP
cana-1835	59	34	separation	separation	NOUN
cana-1835	59	35	and	and	CCONJ
cana-1835	59	36	neglect	neglect	NOUN
cana-1835	59	37	a	a	DET
cana-1835	59	38	variety	variety	NOUN
cana-1835	59	39	of	of	ADP
cana-1835	59	40	visual	visual	ADJ
cana-1835	59	41	features	feature	NOUN
cana-1835	59	42	.	.	PUNCT
cana-1835	60	1	a	a	DET
cana-1835	60	2	machine	machine	NOUN
cana-1835	60	3	learning	learning	NOUN
cana-1835	60	4	method	method	NOUN
cana-1835	60	5	is	be	AUX
cana-1835	60	6	described	describe	VERB
cana-1835	60	7	in	in	ADP
cana-1835	60	8	[	[	X
cana-1835	60	9	8	8	NUM
cana-1835	60	10	]	]	X
cana-1835	60	11	the	the	PRON
cana-1835	60	12	with	with	ADP
cana-1835	60	13	goal	goal	NOUN
cana-1835	60	14	of	of	ADP
cana-1835	60	15	collecting	collect	VERB
cana-1835	60	16	image	image	NOUN
cana-1835	60	17	-	-	PUNCT
cana-1835	60	18	relevant	relevant	ADJ
cana-1835	60	19	knowledge	knowledge	NOUN
cana-1835	60	20	and	and	CCONJ
cana-1835	60	21	effectively	effectively	ADV
cana-1835	60	22	diagnosing	diagnose	VERB
cana-1835	60	23	ophthalmology	ophthalmology	NOUN
cana-1835	60	24	from	from	ADP
cana-1835	60	25	images	image	NOUN
cana-1835	60	26	obtained	obtain	VERB
cana-1835	60	27	.	.	PUNCT
cana-1835	61	1	with	with	ADP
cana-1835	61	2	the	the	DET
cana-1835	61	3	this	this	DET
cana-1835	61	4	target	target	NOUN
cana-1835	61	5	in	in	ADP
cana-1835	61	6	mind	mind	NOUN
cana-1835	61	7	,	,	PUNCT
cana-1835	61	8	a	a	DET
cana-1835	61	9	revolutionary	revolutionary	ADJ
cana-1835	61	10	wedge	wedge	NOUN
cana-1835	61	11	evaluation	evaluation	NOUN
cana-1835	61	12	networks	network	NOUN
cana-1835	61	13	(	(	PUNCT
cana-1835	61	14	denet	denet	NOUN
cana-1835	61	15	)	)	PUNCT
cana-1835	61	16	for	for	ADP
cana-1835	61	17	automatic	automatic	ADJ
cana-1835	61	18	ophthalmology	ophthalmology	NOUN
cana-1835	61	19	detection	detection	NOUN
cana-1835	61	20	was	be	AUX
cana-1835	61	21	developed	develop	VERB
cana-1835	61	22	.	.	PUNCT
cana-1835	62	1	this	this	DET
cana-1835	62	2	system	system	NOUN
cana-1835	62	3	integrated	integrate	VERB
cana-1835	62	4	the	the	DET
cana-1835	62	5	localized	localized	ADJ
cana-1835	62	6	visual	visual	ADJ
cana-1835	62	7	acuity	acuity	NOUN
cana-1835	62	8	region	region	NOUN
cana-1835	62	9	with	with	ADP
cana-1835	62	10	worldwide	worldwide	ADJ
cana-1835	62	11	retina	retina	NOUN
cana-1835	62	12	image	image	NOUN
cana-1835	62	13	in	in	ADP
cana-1835	62	14	a	a	DET
cana-1835	62	15	deep	deep	ADJ
cana-1835	62	16	structural	structural	ADJ
cana-1835	62	17	framework	framework	NOUN
cana-1835	62	18	.	.	PUNCT
cana-1835	63	1	in	in	ADP
cana-1835	63	2	the	the	DET
cana-1835	63	3	interest	interest	NOUN
cana-1835	63	4	of	of	ADP
cana-1835	63	5	recognizing	recognize	VERB
cana-1835	63	6	ophthalmology	ophthalmology	NOUN
cana-1835	63	7	,	,	PUNCT
cana-1835	63	8	an	an	DET
cana-1835	63	9	evaluation	evaluation	NOUN
cana-1835	63	10	of	of	ADP
cana-1835	63	11	retinal	retinal	ADJ
cana-1835	63	12	images	image	NOUN
cana-1835	63	13	and	and	CCONJ
cana-1835	63	14	optical	optical	ADJ
cana-1835	63	15	cupping	cupping	NOUN
cana-1835	63	16	segment	segment	NOUN
cana-1835	63	17	and	and	CCONJ
cana-1835	63	18	classification	classification	NOUN
cana-1835	63	19	methods	method	NOUN
cana-1835	63	20	was	be	AUX
cana-1835	63	21	developed	develop	VERB
cana-1835	63	22	in	in	ADP
cana-1835	63	23	[	[	X
cana-1835	63	24	9	9	NUM
cana-1835	63	25	]	]	PUNCT
cana-1835	63	26	.	.	PUNCT
cana-1835	64	1	[	[	X
cana-1835	64	2	10	10	NUM
cana-1835	64	3	]	]	PUNCT
cana-1835	64	4	proposed	propose	VERB
cana-1835	64	5	a	a	DET
cana-1835	64	6	study	study	NOUN
cana-1835	64	7	on	on	ADP
cana-1835	64	8	segmentation	segmentation	NOUN
cana-1835	64	9	and	and	CCONJ
cana-1835	64	10	categorization	categorization	NOUN
cana-1835	64	11	towards	towards	ADP
cana-1835	64	12	disease	disease	NOUN
cana-1835	64	13	prediction	prediction	NOUN
cana-1835	64	14	.	.	PUNCT
cana-1835	65	1	in	in	ADP
cana-1835	65	2	attempt	attempt	NOUN
cana-1835	65	3	to	to	PART
cana-1835	65	4	accurately	accurately	ADV
cana-1835	65	5	predict	predict	VERB
cana-1835	65	6	forecast	forecast	VERB
cana-1835	65	7	the	the	DET
cana-1835	65	8	discovery	discovery	NOUN
cana-1835	65	9	of	of	ADP
cana-1835	65	10	ophthalmology	ophthalmology	NOUN
cana-1835	65	11	well	well	ADV
cana-1835	65	12	before	before	ADP
cana-1835	65	13	development	development	NOUN
cana-1835	65	14	of	of	ADP
cana-1835	65	15	sickness	sickness	NOUN
cana-1835	65	16	,	,	PUNCT
cana-1835	65	17	machine	machine	NOUN
cana-1835	65	18	learning	learning	NOUN
cana-1835	65	19	technique	technique	NOUN
cana-1835	65	20	was	be	AUX
cana-1835	65	21	applied	apply	VERB
cana-1835	65	22	in	in	ADP
cana-1835	65	23	[	[	X
cana-1835	65	24	11	11	NUM
cana-1835	65	25	]	]	PUNCT
cana-1835	65	26	.	.	PUNCT
cana-1835	66	1	in	in	ADP
cana-1835	66	2	[	[	X
cana-1835	66	3	12	12	NUM
cana-1835	66	4	]	]	PUNCT
cana-1835	66	5	,	,	PUNCT
cana-1835	66	6	a	a	DET
cana-1835	66	7	review	review	NOUN
cana-1835	66	8	of	of	ADP
cana-1835	66	9	a	a	DET
cana-1835	66	10	database	database	NOUN
cana-1835	66	11	employed	employ	VERB
cana-1835	66	12	for	for	ADP
cana-1835	66	13	disease	disease	NOUN
cana-1835	66	14	detection	detection	NOUN
cana-1835	66	15	was	be	AUX
cana-1835	66	16	recommended	recommend	VERB
cana-1835	66	17	.	.	PUNCT
cana-1835	67	1	in	in	ADP
cana-1835	67	2	[	[	X
cana-1835	67	3	13	13	NUM
cana-1835	67	4	]	]	PUNCT
cana-1835	67	5	,	,	PUNCT
cana-1835	67	6	a	a	DET
cana-1835	67	7	study	study	NOUN
cana-1835	67	8	and	and	CCONJ
cana-1835	67	9	perspective	perspective	NOUN
cana-1835	67	10	regarding	regard	VERB
cana-1835	67	11	the	the	DET
cana-1835	67	12	application	application	NOUN
cana-1835	67	13	of	of	ADP
cana-1835	67	14	deep	deep	ADJ
cana-1835	67	15	learning	learning	NOUN
cana-1835	67	16	to	to	ADP
cana-1835	67	17	the	the	DET
cana-1835	67	18	processing	processing	NOUN
cana-1835	67	19	of	of	ADP
cana-1835	67	20	iris	iris	NOUN
cana-1835	67	21	image	image	NOUN
cana-1835	67	22	again	again	ADV
cana-1835	67	23	for	for	ADP
cana-1835	67	24	detection	detection	NOUN
cana-1835	67	25	of	of	ADP
cana-1835	67	26	ophthalmology	ophthalmology	NOUN
cana-1835	67	27	been	be	AUX
cana-1835	67	28	investigated	investigate	VERB
cana-1835	67	29	.	.	PUNCT
cana-1835	68	1	the	the	DET
cana-1835	68	2	identification	identification	NOUN
cana-1835	68	3	of	of	ADP
cana-1835	68	4	the	the	DET
cana-1835	68	5	these	these	DET
cana-1835	68	6	ophthalmology	ophthalmology	NOUN
cana-1835	68	7	diseases	disease	NOUN
cana-1835	68	8	is	be	AUX
cana-1835	68	9	complicated	complicated	ADJ
cana-1835	68	10	because	because	SCONJ
cana-1835	68	11	a	a	DET
cana-1835	68	12	majority	majority	NOUN
cana-1835	68	13	of	of	ADP
cana-1835	68	14	them	they	PRON
cana-1835	68	15	exhibit	exhibit	VERB
cana-1835	68	16	symptoms	symptom	NOUN
cana-1835	68	17	which	which	PRON
cana-1835	68	18	pose	pose	VERB
cana-1835	68	19	a	a	DET
cana-1835	68	20	challenge	challenge	NOUN
cana-1835	68	21	to	to	ADP
cana-1835	68	22	healthcare	healthcare	NOUN
cana-1835	68	23	experts	expert	NOUN
cana-1835	68	24	to	to	PART
cana-1835	68	25	determine	determine	VERB
cana-1835	68	26	the	the	DET
cana-1835	68	27	exact	exact	ADJ
cana-1835	68	28	disease	disease	NOUN
cana-1835	68	29	for	for	ADP
cana-1835	68	30	treatments	treatment	NOUN
cana-1835	68	31	.	.	PUNCT
cana-1835	69	1	in	in	ADP
cana-1835	69	2	classifying	classify	VERB
cana-1835	69	3	diseases	disease	NOUN
cana-1835	69	4	for	for	ADP
cana-1835	69	5	particular	particular	ADJ
cana-1835	69	6	therapeutic	therapeutic	ADJ
cana-1835	69	7	interventions	intervention	NOUN
cana-1835	69	8	,	,	PUNCT
cana-1835	69	9	an	an	DET
cana-1835	69	10	inter	inter	ADJ
cana-1835	69	11	analysis	analysis	NOUN
cana-1835	69	12	and	and	CCONJ
cana-1835	69	13	classification	classification	NOUN
cana-1835	69	14	methodology	methodology	NOUN
cana-1835	69	15	is	be	AUX
cana-1835	69	16	introduced	introduce	VERB
cana-1835	69	17	in	in	ADP
cana-1835	69	18	[	[	X
cana-1835	69	19	14	14	NUM
cana-1835	69	20	]	]	PUNCT
cana-1835	69	21	through	through	ADP
cana-1835	69	22	enhancing	enhance	VERB
cana-1835	69	23	the	the	DET
cana-1835	69	24	algorithm	algorithm	NOUN
cana-1835	69	25	for	for	ADP
cana-1835	69	26	machine	machine	NOUN
cana-1835	69	27	learning	learning	NOUN
cana-1835	69	28	as	as	ADV
cana-1835	69	29	well	well	ADV
cana-1835	69	30	as	as	ADP
cana-1835	69	31	a	a	DET
cana-1835	69	32	wavelet	wavelet	NOUN
cana-1835	69	33	transform	transform	NOUN
cana-1835	69	34	(	(	PUNCT
cana-1835	69	35	wavelet	wavelet	NOUN
cana-1835	69	36	transform	transform	NOUN
cana-1835	69	37	transform	transform	NOUN
cana-1835	69	38	)	)	PUNCT
cana-1835	69	39	.	.	PUNCT
cana-1835	70	1	as	as	ADP
cana-1835	70	2	a	a	DET
cana-1835	70	3	consequence	consequence	NOUN
cana-1835	70	4	,	,	PUNCT
cana-1835	70	5	overall	overall	ADJ
cana-1835	70	6	prediction	prediction	NOUN
cana-1835	70	7	accuracy	accuracy	NOUN
cana-1835	70	8	for	for	ADP
cana-1835	70	9	disease	disease	NOUN
cana-1835	70	10	diagnosis	diagnosis	NOUN
cana-1835	70	11	improved	improve	VERB
cana-1835	70	12	.	.	PUNCT
cana-1835	71	1	[	[	X
cana-1835	71	2	15	15	NUM
cana-1835	71	3	]	]	PUNCT
cana-1835	71	4	describes	describe	VERB
cana-1835	71	5	the	the	DET
cana-1835	71	6	development	development	NOUN
cana-1835	71	7	of	of	ADP
cana-1835	71	8	the	the	DET
cana-1835	71	9	revolutionary	revolutionary	ADJ
cana-1835	71	10	deep	deep	ADJ
cana-1835	71	11	learning	learning	NOUN
cana-1835	71	12	approach	approach	NOUN
cana-1835	71	13	that	that	PRON
cana-1835	71	14	utilizes	utilize	VERB
cana-1835	71	15	a	a	DET
cana-1835	71	16	deep	deep	ADJ
cana-1835	71	17	residue	residue	NOUN
cana-1835	71	18	neural	neural	ADJ
cana-1835	71	19	network	network	NOUN
cana-1835	71	20	(	(	PUNCT
cana-1835	71	21	resnet101	resnet101	PROPN
cana-1835	71	22	)	)	PUNCT
cana-1835	71	23	again	again	ADV
cana-1835	71	24	for	for	ADP
cana-1835	71	25	automatic	automatic	ADJ
cana-1835	71	26	detection	detection	NOUN
cana-1835	71	27	of	of	ADP
cana-1835	71	28	ophthalmology	ophthalmology	NOUN
cana-1835	71	29	employing	employ	VERB
cana-1835	71	30	colour	colour	ADJ
cana-1835	71	31	fundus	fundus	NOUN
cana-1835	71	32	images	image	NOUN
cana-1835	71	33	.	.	PUNCT
cana-1835	72	1	furthermore	furthermore	ADV
cana-1835	72	2	,	,	PUNCT
cana-1835	72	3	the	the	DET
cana-1835	72	4	method	method	NOUN
cana-1835	72	5	for	for	ADP
cana-1835	72	6	generating	generate	VERB
cana-1835	72	7	the	the	DET
cana-1835	72	8	forecast	forecast	NOUN
cana-1835	72	9	was	be	AUX
cana-1835	72	10	designed	design	VERB
cana-1835	72	11	,	,	PUNCT
cana-1835	72	12	as	as	ADV
cana-1835	72	13	well	well	ADV
cana-1835	72	14	as	as	ADP
cana-1835	72	15	the	the	DET
cana-1835	72	16	effect	effect	NOUN
cana-1835	72	17	of	of	ADP
cana-1835	72	18	merging	merge	VERB
cana-1835	72	19	retina	retina	NOUN
cana-1835	72	20	images	image	NOUN
cana-1835	72	21	and	and	CCONJ
cana-1835	72	22	patient	patient	NOUN
cana-1835	72	23	’s	’s	PART
cana-1835	72	24	previous	previous	ADJ
cana-1835	72	25	medical	medical	ADJ
cana-1835	72	26	information	information	NOUN
cana-1835	72	27	also	also	ADV
cana-1835	72	28	was	be	AUX
cana-1835	72	29	considered	consider	VERB
cana-1835	72	30	.	.	PUNCT
cana-1835	73	1	[	[	X
cana-1835	73	2	16	16	NUM
cana-1835	73	3	]	]	X
cana-1835	73	4	examined	examine	VERB
cana-1835	73	5	machine	machine	NOUN
cana-1835	73	6	ophthalmology	ophthalmology	NOUN
cana-1835	73	7	detection	detection	NOUN
cana-1835	73	8	methods	method	NOUN
cana-1835	73	9	that	that	PRON
cana-1835	73	10	investigated	investigate	VERB
cana-1835	73	11	at	at	ADP
cana-1835	73	12	overall	overall	ADJ
cana-1835	73	13	efficiency	efficiency	NOUN
cana-1835	73	14	.	.	PUNCT
cana-1835	74	1	thus	thus	ADV
cana-1835	74	2	further	far	ADV
cana-1835	74	3	,	,	PUNCT
cana-1835	74	4	establishing	establish	VERB
cana-1835	74	5	a	a	DET
cana-1835	74	6	machine	machine	NOUN
cana-1835	74	7	learning	learning	NOUN
cana-1835	74	8	method	method	NOUN
cana-1835	74	9	for	for	ADP
cana-1835	74	10	detecting	detect	VERB
cana-1835	74	11	ophthalmology	ophthalmology	NOUN
cana-1835	74	12	disease	disease	NOUN
cana-1835	74	13	with	with	ADP
cana-1835	74	14	very	very	ADV
cana-1835	74	15	little	little	ADJ
cana-1835	74	16	evidence	evidence	NOUN
cana-1835	74	17	is	be	AUX
cana-1835	74	18	significant	significant	ADJ
cana-1835	74	19	and	and	CCONJ
cana-1835	74	20	difficult	difficult	ADJ
cana-1835	74	21	.	.	PUNCT
cana-1835	75	1	here	here	ADV
cana-1835	75	2	[	[	X
cana-1835	75	3	17	17	NUM
cana-1835	75	4	]	]	PUNCT
cana-1835	75	5	,	,	PUNCT
cana-1835	75	6	a	a	DET
cana-1835	75	7	machine	machine	NOUN
cana-1835	75	8	learning	learning	NOUN
cana-1835	75	9	model	model	NOUN
cana-1835	75	10	was	be	AUX
cana-1835	75	11	deployed	deploy	VERB
cana-1835	75	12	to	to	PART
cana-1835	75	13	accurately	accurately	ADV
cana-1835	75	14	detect	detect	VERB
cana-1835	75	15	ophthalmology	ophthalmology	NOUN
cana-1835	75	16	employing	employ	VERB
cana-1835	75	17	retinal	retinal	ADJ
cana-1835	75	18	image	image	NOUN
cana-1835	75	19	imaging	imaging	NOUN
cana-1835	75	20	and	and	CCONJ
cana-1835	75	21	domain	domain	NOUN
cana-1835	75	22	expertise	expertise	NOUN
cana-1835	75	23	.	.	PUNCT
cana-1835	76	1	the	the	DET
cana-1835	76	2	deep	deep	ADJ
cana-1835	76	3	understanding	understanding	NOUN
cana-1835	76	4	encompassed	encompass	VERB
cana-1835	76	5	a	a	DET
cana-1835	76	6	variety	variety	NOUN
cana-1835	76	7	of	of	ADP
cana-1835	76	8	important	important	ADJ
cana-1835	76	9	and	and	CCONJ
cana-1835	76	10	relevant	relevant	ADJ
cana-1835	76	11	regions	region	NOUN
cana-1835	76	12	of	of	ADP
cana-1835	76	13	information	information	NOUN
cana-1835	76	14	for	for	ADP
cana-1835	76	15	assessment	assessment	NOUN
cana-1835	76	16	.	.	PUNCT
cana-1835	77	1	a	a	DET
cana-1835	77	2	cross	cross	ADJ
cana-1835	77	3	human	human	ADJ
cana-1835	77	4	brain	brain	NOUN
cana-1835	77	5	(	(	PUNCT
cana-1835	77	6	mb	mb	NOUN
cana-1835	77	7	-	-	PUNCT
cana-1835	77	8	nn	nn	NOUN
cana-1835	77	9	)	)	PUNCT
cana-1835	77	10	algorithm	algorithm	NOUN
cana-1835	77	11	was	be	AUX
cana-1835	77	12	developed	develop	VERB
cana-1835	77	13	to	to	PART
cana-1835	77	14	address	address	VERB
cana-1835	77	15	this	this	DET
cana-1835	77	16	issue	issue	NOUN
cana-1835	77	17	the	the	PRON
cana-1835	77	18	with	with	ADP
cana-1835	77	19	aim	aim	NOUN
cana-1835	77	20	of	of	ADP
cana-1835	77	21	extracting	extract	VERB
cana-1835	77	22	useful	useful	ADJ
cana-1835	77	23	the	the	DET
cana-1835	77	24	relevant	relevant	ADJ
cana-1835	77	25	and	and	CCONJ
cana-1835	77	26	significant	significant	ADJ
cana-1835	77	27	information	information	NOUN
cana-1835	77	28	using	use	VERB
cana-1835	77	29	characteristics	characteristic	NOUN
cana-1835	77	30	from	from	ADP
cana-1835	77	31	subject	subject	ADJ
cana-1835	77	32	matter	matter	NOUN
cana-1835	77	33	expertise	expertise	NOUN
cana-1835	77	34	.	.	PUNCT
cana-1835	78	1	this	this	PRON
cana-1835	78	2	was	be	AUX
cana-1835	78	3	reported	report	VERB
cana-1835	78	4	that	that	SCONJ
cana-1835	78	5	such	such	DET
cana-1835	78	6	a	a	DET
cana-1835	78	7	level	level	NOUN
cana-1835	78	8	of	of	ADP
cana-1835	78	9	accuracy	accuracy	NOUN
cana-1835	78	10	was	be	AUX
cana-1835	78	11	accomplished	accomplish	VERB
cana-1835	78	12	.	.	PUNCT
cana-1835	79	1	further	further	ADJ
cana-1835	79	2	splitting	split	VERB
cana-1835	79	3	autocad	autocad	PROPN
cana-1835	79	4	program	program	NOUN
cana-1835	79	5	was	be	AUX
cana-1835	79	6	designed	design	VERB
cana-1835	79	7	that	that	SCONJ
cana-1835	79	8	[	[	X
cana-1835	79	9	18	18	NUM
cana-1835	79	10	]	]	PUNCT
cana-1835	79	11	to	to	PART
cana-1835	79	12	retrieve	retrieve	VERB
cana-1835	79	13	powerful	powerful	ADJ
cana-1835	79	14	components	component	NOUN
cana-1835	79	15	and	and	CCONJ
cana-1835	79	16	simultaneously	simultaneously	ADV
cana-1835	79	17	classifying	classify	VERB
cana-1835	79	18	those	those	PRON
cana-1835	79	19	into	into	ADP
cana-1835	79	20	healthy	healthy	ADJ
cana-1835	79	21	and	and	CCONJ
cana-1835	79	22	ophthalmology	ophthalmology	NOUN
cana-1835	79	23	groups	group	NOUN
cana-1835	79	24	,	,	PUNCT
cana-1835	79	25	achieving	achieve	VERB
cana-1835	79	26	the	the	DET
cana-1835	79	27	highest	high	ADJ
cana-1835	79	28	accuracy	accuracy	NOUN
cana-1835	79	29	conceivable	conceivable	ADJ
cana-1835	79	30	.	.	PUNCT
cana-1835	80	1	for	for	AUX
cana-1835	80	2	identify	identify	VERB
cana-1835	80	3	the	the	DET
cana-1835	80	4	essential	essential	ADJ
cana-1835	80	5	aspects	aspect	NOUN
cana-1835	80	6	engaged	engage	VERB
cana-1835	80	7	in	in	ADP
cana-1835	80	8	identification	identification	NOUN
cana-1835	80	9	,	,	PUNCT
cana-1835	80	10	an	an	DET
cana-1835	80	11	ensembles	ensemble	NOUN
cana-1835	80	12	approach	approach	NOUN
cana-1835	80	13	was	be	AUX
cana-1835	80	14	developed	develop	VERB
cana-1835	80	15	in	in	ADP
cana-1835	80	16	[	[	X
cana-1835	80	17	19	19	NUM
cana-1835	80	18	]	]	PUNCT
cana-1835	80	19	using	use	VERB
cana-1835	80	20	class	class	NOUN
cana-1835	80	21	convolution	convolution	NOUN
cana-1835	80	22	layer	layer	NOUN
cana-1835	80	23	.	.	PUNCT
cana-1835	81	1	retina	retina	NOUN
cana-1835	81	2	image	image	NOUN
cana-1835	81	3	has	have	AUX
cana-1835	81	4	been	be	AUX
cana-1835	81	5	utilized	utilize	VERB
cana-1835	81	6	[	[	PUNCT
cana-1835	81	7	20	20	NUM
cana-1835	81	8	]	]	PUNCT
cana-1835	81	9	to	to	PART
cana-1835	81	10	design	design	VERB
cana-1835	81	11	a	a	DET
cana-1835	81	12	simple	simple	ADJ
cana-1835	81	13	linear	linear	NOUN
cana-1835	81	14	classifier	classifier	NOUN
cana-1835	81	15	and	and	CCONJ
cana-1835	81	16	convolutional	convolutional	ADJ
cana-1835	81	17	neural	neural	ADJ
cana-1835	81	18	network	network	NOUN
cana-1835	81	19	(	(	PUNCT
cana-1835	81	20	cnn	cnn	PROPN
cana-1835	81	21	)	)	PUNCT
cana-1835	81	22	algorithm	algorithm	NOUN
cana-1835	81	23	for	for	ADP
cana-1835	81	24	detecting	detect	VERB
cana-1835	81	25	either	either	CCONJ
cana-1835	81	26	mild	mild	ADJ
cana-1835	81	27	or	or	CCONJ
cana-1835	81	28	severe	severe	ADJ
cana-1835	81	29	ophthalmology	ophthalmology	NOUN
cana-1835	81	30	.	.	PUNCT
cana-1835	82	1	both	both	DET
cana-1835	82	2	hypertension	hypertension	NOUN
cana-1835	82	3	identification	identification	NOUN
cana-1835	82	4	rapidity	rapidity	NOUN
cana-1835	82	5	and	and	CCONJ
cana-1835	82	6	precision	precision	NOUN
cana-1835	82	7	have	have	AUX
cana-1835	82	8	indeed	indeed	ADV
cana-1835	82	9	been	be	AUX
cana-1835	82	10	increased	increase	VERB
cana-1835	82	11	throughout	throughout	ADP
cana-1835	82	12	this	this	DET
cana-1835	82	13	work	work	NOUN
cana-1835	82	14	due	due	ADP
cana-1835	82	15	to	to	ADP
cana-1835	82	16	these	these	DET
cana-1835	82	17	issues	issue	NOUN
cana-1835	82	18	first	first	ADV
cana-1835	82	19	by	by	ADP
cana-1835	82	20	extracting	extract	VERB
cana-1835	82	21	the	the	DET
cana-1835	82	22	crucial	crucial	ADJ
cana-1835	82	23	element	element	NOUN
cana-1835	82	24	using	use	VERB
cana-1835	82	25	a	a	DET
cana-1835	82	26	wedge	wedge	NOUN
cana-1835	82	27	shaped	shape	VERB
cana-1835	82	28	binary	binary	ADJ
cana-1835	82	29	pattern	pattern	NOUN
cana-1835	82	30	(	(	PUNCT
cana-1835	82	31	lbp	lbp	NOUN
cana-1835	82	32	instruction	instruction	NOUN
cana-1835	82	33	set	set	NOUN
cana-1835	82	34	.	.	PUNCT
cana-1835	83	1	essential	essential	ADJ
cana-1835	83	2	features	feature	NOUN
cana-1835	83	3	may	may	AUX
cana-1835	83	4	additionally	additionally	ADV
cana-1835	83	5	be	be	AUX
cana-1835	83	6	generated	generate	VERB
cana-1835	83	7	utilizing	utilize	VERB
cana-1835	83	8	pure	pure	ADJ
cana-1835	83	9	sine	sine	ADJ
cana-1835	83	10	wave	wave	NOUN
cana-1835	83	11	discontinuous	discontinuous	ADJ
cana-1835	83	12	single	single	ADJ
cana-1835	83	13	input	input	NOUN
cana-1835	83	14	single	single	ADJ
cana-1835	83	15	gaussian	gaussian	ADJ
cana-1835	83	16	feature	feature	NOUN
cana-1835	83	17	engineering	engineering	NOUN
cana-1835	83	18	.	.	PUNCT
cana-1835	84	1	after	after	ADP
cana-1835	84	2	which	which	PRON
cana-1835	84	3	,	,	PUNCT
cana-1835	84	4	four	four	NUM
cana-1835	84	5	types	type	NOUN
cana-1835	84	6	of	of	ADP
cana-1835	84	7	communications	communication	NOUN
cana-1835	84	8	on	on	ADP
cana-1835	84	9	applied	apply	VERB
cana-1835	84	10	nonlinear	nonlinear	ADJ
cana-1835	84	11	analysis	analysis	NOUN
cana-1835	84	12	issn	issn	NOUN
cana-1835	84	13	:	:	PUNCT
cana-1835	84	14	1074	1074	NUM
cana-1835	84	15	-	-	PUNCT
cana-1835	84	16	133x	133x	NUM
cana-1835	84	17	vol	vol	NOUN
cana-1835	84	18	32	32	NUM
cana-1835	84	19	no	no	NOUN
cana-1835	84	20	.	.	NOUN
cana-1835	84	21	2	2	NUM
cana-1835	84	22	(	(	PUNCT
cana-1835	84	23	2025	2025	NUM
cana-1835	84	24	)	)	PUNCT
cana-1835	84	25	597	597	NUM
cana-1835	84	26	https://internationalpubls.com	https://internationalpubls.com	X
cana-1835	84	27	ophthalmology	ophthalmology	NOUN
cana-1835	84	28	are	be	AUX
cana-1835	84	29	detected	detect	VERB
cana-1835	84	30	utilizing	utilize	VERB
cana-1835	84	31	inter	inter	ADJ
cana-1835	84	32	regression	regression	NOUN
cana-1835	84	33	hinged	hinge	VERB
cana-1835	84	34	vector	vector	NOUN
cana-1835	84	35	support	support	NOUN
cana-1835	84	36	ophthalmology	ophthalmology	NOUN
cana-1835	84	37	identification	identification	NOUN
cana-1835	84	38	.	.	PUNCT
cana-1835	85	1	finally	finally	ADV
cana-1835	85	2	and	and	CCONJ
cana-1835	85	3	not	not	PART
cana-1835	85	4	last	last	ADJ
cana-1835	85	5	,	,	PUNCT
cana-1835	85	6	a	a	DET
cana-1835	85	7	thorough	thorough	ADJ
cana-1835	85	8	analysis	analysis	NOUN
cana-1835	85	9	also	also	ADV
cana-1835	85	10	is	be	AUX
cana-1835	85	11	provided	provide	VERB
cana-1835	85	12	to	to	PART
cana-1835	85	13	demonstrate	demonstrate	VERB
cana-1835	85	14	how	how	SCONJ
cana-1835	85	15	and	and	CCONJ
cana-1835	85	16	where	where	SCONJ
cana-1835	85	17	to	to	ADP
cana-1835	85	18	correctly	correctly	ADV
cana-1835	85	19	,	,	PUNCT
cana-1835	85	20	rapidly	rapidly	ADV
cana-1835	85	21	,	,	PUNCT
cana-1835	85	22	and	and	CCONJ
cana-1835	85	23	effectively	effectively	ADV
cana-1835	85	24	detect	detect	VERB
cana-1835	85	25	ophthalmology	ophthalmology	NOUN
cana-1835	85	26	.	.	PUNCT
cana-1835	86	1	2	2	X
cana-1835	86	2	.	.	X
cana-1835	86	3	methodology	methodology	NOUN
cana-1835	86	4	in	in	ADP
cana-1835	86	5	this	this	DET
cana-1835	86	6	part	part	NOUN
cana-1835	86	7	,	,	PUNCT
cana-1835	86	8	we	we	PRON
cana-1835	86	9	go	go	VERB
cana-1835	86	10	through	through	ADP
cana-1835	86	11	our	our	PRON
cana-1835	86	12	research	research	NOUN
cana-1835	86	13	on	on	ADP
cana-1835	86	14	the	the	DET
cana-1835	86	15	use	use	NOUN
cana-1835	86	16	of	of	ADP
cana-1835	86	17	optical	optical	ADJ
cana-1835	86	18	coherence	coherence	NOUN
cana-1835	86	19	tomography	tomography	NOUN
cana-1835	86	20	(	(	PUNCT
cana-1835	86	21	oct	oct	NOUN
cana-1835	86	22	)	)	PUNCT
cana-1835	86	23	images	image	NOUN
cana-1835	86	24	to	to	PART
cana-1835	86	25	diagnose	diagnose	VERB
cana-1835	86	26	hypertension	hypertension	NOUN
cana-1835	86	27	.	.	PUNCT
cana-1835	87	1	we	we	PRON
cana-1835	87	2	had	have	AUX
cana-1835	87	3	developed	develop	VERB
cana-1835	87	4	a	a	DET
cana-1835	87	5	plan	plan	NOUN
cana-1835	87	6	for	for	ADP
cana-1835	87	7	applying	apply	VERB
cana-1835	87	8	deep	deep	ADJ
cana-1835	87	9	learning	learning	NOUN
cana-1835	87	10	to	to	PART
cana-1835	87	11	process	process	VERB
cana-1835	87	12	and	and	CCONJ
cana-1835	87	13	identify	identify	VERB
cana-1835	87	14	the	the	DET
cana-1835	87	15	acquired	acquire	VERB
cana-1835	87	16	optical	optical	ADJ
cana-1835	87	17	images	image	NOUN
cana-1835	87	18	.	.	PUNCT
cana-1835	88	1	figure	figure	NOUN
cana-1835	88	2	1	1	NUM
cana-1835	88	3	shows	show	VERB
cana-1835	88	4	the	the	DET
cana-1835	88	5	image	image	NOUN
cana-1835	88	6	feature	feature	NOUN
cana-1835	88	7	testing	testing	NOUN
cana-1835	88	8	procedures	procedure	NOUN
cana-1835	88	9	in	in	ADP
cana-1835	88	10	use	use	NOUN
cana-1835	88	11	by	by	ADP
cana-1835	88	12	our	our	PRON
cana-1835	88	13	suggested	suggest	VERB
cana-1835	88	14	method	method	NOUN
cana-1835	88	15	,	,	PUNCT
cana-1835	88	16	including	include	VERB
cana-1835	88	17	includes	include	VERB
cana-1835	88	18	i	i	PRON
cana-1835	88	19	processing	processing	NOUN
cana-1835	88	20	,	,	PUNCT
cana-1835	88	21	(	(	PUNCT
cana-1835	88	22	ii	ii	NOUN
cana-1835	88	23	)	)	PUNCT
cana-1835	88	24	features	feature	NOUN
cana-1835	88	25	are	be	AUX
cana-1835	88	26	extracted	extract	VERB
cana-1835	88	27	from	from	ADP
cana-1835	88	28	of	of	ADP
cana-1835	88	29	the	the	DET
cana-1835	88	30	preprocessed	preprocesse	VERB
cana-1835	88	31	image	image	NOUN
cana-1835	88	32	,	,	PUNCT
cana-1835	88	33	and	and	CCONJ
cana-1835	88	34	(	(	PUNCT
cana-1835	88	35	iii	iii	X
cana-1835	88	36	)	)	PUNCT
cana-1835	88	37	ophthalmology	ophthalmology	NOUN
cana-1835	88	38	detection	detection	NOUN
cana-1835	88	39	according	accord	VERB
cana-1835	88	40	to	to	ADP
cana-1835	88	41	evaluation	evaluation	NOUN
cana-1835	88	42	of	of	ADP
cana-1835	88	43	the	the	DET
cana-1835	88	44	obtained	obtain	VERB
cana-1835	88	45	features	feature	NOUN
cana-1835	88	46	.	.	PUNCT
cana-1835	89	1	figure	figure	VERB
cana-1835	89	2	1	1	NUM
cana-1835	89	3	asymmetric	asymmetric	ADJ
cana-1835	89	4	pure	pure	ADJ
cana-1835	89	5	sine	sine	ADJ
cana-1835	89	6	wave	wave	NOUN
cana-1835	89	7	inter	inter	PROPN
cana-1835	89	8	hinged	hinge	VERB
cana-1835	89	9	supporting	support	VERB
cana-1835	89	10	machine	machine	NOUN
cana-1835	89	11	learning	learning	NOUN
cana-1835	89	12	(	(	PUNCT
cana-1835	89	13	asm	asm	NOUN
cana-1835	89	14	-	-	PUNCT
cana-1835	89	15	hsml	hsml	NOUN
cana-1835	89	16	)	)	PUNCT
cana-1835	89	17	approach	approach	NOUN
cana-1835	89	18	schematic	schematic	ADJ
cana-1835	89	19	diagram	diagram	NOUN
cana-1835	89	20	2.1	2.1	NUM
cana-1835	89	21	three	three	NUM
cana-1835	89	22	different	different	ADJ
cana-1835	89	23	approaches	approach	NOUN
cana-1835	89	24	binary	binary	ADJ
cana-1835	89	25	pattern	pattern	NOUN
cana-1835	89	26	(	(	PUNCT
cana-1835	89	27	lbp	lbp	PROPN
cana-1835	89	28	pre	pre	PROPN
cana-1835	89	29	processor	processor	NOUN
cana-1835	89	30	,	,	PUNCT
cana-1835	89	31	pure	pure	ADJ
cana-1835	89	32	sine	sine	ADJ
cana-1835	89	33	wave	wave	NOUN
cana-1835	89	34	modular	modular	ADJ
cana-1835	89	35	single	single	ADJ
cana-1835	89	36	input	input	NOUN
cana-1835	89	37	single	single	ADJ
cana-1835	89	38	probability	probability	NOUN
cana-1835	89	39	distribution	distribution	NOUN
cana-1835	89	40	edge	edge	NOUN
cana-1835	89	41	detection	detection	NOUN
cana-1835	89	42	,	,	PUNCT
cana-1835	89	43	and	and	CCONJ
cana-1835	89	44	inter	inter	ADJ
cana-1835	89	45	hinge	hinge	NOUN
cana-1835	89	46	vector	vector	NOUN
cana-1835	89	47	support	support	NOUN
cana-1835	89	48	eye	eye	NOUN
cana-1835	89	49	disease	disease	NOUN
cana-1835	89	50	recognition	recognition	NOUN
cana-1835	89	51	used	use	VERB
cana-1835	89	52	it	it	PRON
cana-1835	89	53	to	to	PART
cana-1835	89	54	retrieve	retrieve	VERB
cana-1835	89	55	resampled	resample	VERB
cana-1835	89	56	imaging	imaging	NOUN
cana-1835	89	57	techniques	technique	NOUN
cana-1835	89	58	in	in	ADP
cana-1835	89	59	order	order	NOUN
cana-1835	89	60	to	to	PART
cana-1835	89	61	identify	identify	VERB
cana-1835	89	62	the	the	DET
cana-1835	89	63	eye	eye	NOUN
cana-1835	89	64	disease	disease	NOUN
cana-1835	89	65	disease	disease	NOUN
cana-1835	89	66	by	by	ADP
cana-1835	89	67	determining	determine	VERB
cana-1835	89	68	postural	postural	ADJ
cana-1835	89	69	assumptions	assumption	NOUN
cana-1835	89	70	.	.	PUNCT
cana-1835	90	1	all	all	DET
cana-1835	90	2	these	these	PRON
cana-1835	90	3	is	be	AUX
cana-1835	90	4	shown	show	VERB
cana-1835	90	5	in	in	ADP
cana-1835	90	6	the	the	DET
cana-1835	90	7	preceding	precede	VERB
cana-1835	90	8	figure	figure	NOUN
cana-1835	90	9	.	.	PUNCT
cana-1835	91	1	2.2	2.2	NUM
cana-1835	91	2	local	local	ADJ
cana-1835	91	3	binary	binary	NOUN
cana-1835	91	4	preprocessor	preprocessor	NOUN
cana-1835	91	5	based	base	VERB
cana-1835	91	6	on	on	ADP
cana-1835	91	7	angular	angular	ADJ
cana-1835	91	8	by	by	ADP
cana-1835	91	9	discriminating	discriminate	VERB
cana-1835	91	10	the	the	DET
cana-1835	91	11	underlying	underlie	VERB
cana-1835	91	12	retinal	retinal	ADJ
cana-1835	91	13	image	image	NOUN
cana-1835	91	14	against	against	ADP
cana-1835	91	15	with	with	ADP
cana-1835	91	16	a	a	DET
cana-1835	91	17	creating	create	VERB
cana-1835	91	18	an	an	DET
cana-1835	91	19	enabling	enable	VERB
cana-1835	91	20	environment	environment	NOUN
cana-1835	91	21	for	for	ADP
cana-1835	91	22	statistical	statistical	ADJ
cana-1835	91	23	evaluation	evaluation	NOUN
cana-1835	91	24	,	,	PUNCT
cana-1835	91	25	preprocessing	preprocesse	VERB
cana-1835	91	26	's	's	PART
cana-1835	91	27	main	main	ADJ
cana-1835	91	28	objective	objective	NOUN
cana-1835	91	29	is	be	AUX
cana-1835	91	30	to	to	PART
cana-1835	91	31	decrease	decrease	VERB
cana-1835	91	32	image	image	NOUN
cana-1835	91	33	deviation	deviation	NOUN
cana-1835	91	34	.	.	PUNCT
cana-1835	92	1	in	in	ADP
cana-1835	92	2	order	order	NOUN
cana-1835	92	3	to	to	PART
cana-1835	92	4	highlight	highlight	VERB
cana-1835	92	5	the	the	DET
cana-1835	92	6	relevant	relevant	ADJ
cana-1835	92	7	elements	element	NOUN
cana-1835	92	8	,	,	PUNCT
cana-1835	92	9	the	the	DET
cana-1835	92	10	pre	pre	ADJ
cana-1835	92	11	processing	processing	NOUN
cana-1835	92	12	stage	stage	NOUN
cana-1835	92	13	eliminates	eliminate	VERB
cana-1835	92	14	the	the	DET
cana-1835	92	15	variations	variation	NOUN
cana-1835	92	16	from	from	ADP
cana-1835	92	17	of	of	ADP
cana-1835	92	18	the	the	DET
cana-1835	92	19	images	image	NOUN
cana-1835	92	20	that	that	PRON
cana-1835	92	21	are	be	AUX
cana-1835	92	22	n't	not	PART
cana-1835	92	23	connected	connect	VERB
cana-1835	92	24	to	to	ADP
cana-1835	92	25	the	the	DET
cana-1835	92	26	ophthalmology	ophthalmology	NOUN
cana-1835	92	27	disease	disease	NOUN
cana-1835	92	28	.	.	PUNCT
cana-1835	93	1	an	an	DET
cana-1835	93	2	wedge	wedge	NOUN
cana-1835	93	3	shaped	shape	VERB
cana-1835	93	4	local	local	ADJ
cana-1835	93	5	derivative	derivative	ADJ
cana-1835	93	6	pre	pre	NOUN
cana-1835	93	7	processor	processor	NOUN
cana-1835	93	8	is	be	AUX
cana-1835	93	9	created	create	VERB
cana-1835	93	10	in	in	ADP
cana-1835	93	11	our	our	PRON
cana-1835	93	12	investigation	investigation	NOUN
cana-1835	93	13	to	to	PART
cana-1835	93	14	identify	identify	VERB
cana-1835	93	15	sickness	sickness	NOUN
cana-1835	93	16	unrelated	unrelated	ADJ
cana-1835	93	17	differences	difference	NOUN
cana-1835	93	18	that	that	PRON
cana-1835	93	19	can	can	AUX
cana-1835	93	20	not	not	PART
cana-1835	93	21	be	be	AUX
cana-1835	93	22	primarily	primarily	ADV
cana-1835	93	23	connected	connect	VERB
cana-1835	93	24	to	to	ADP
cana-1835	93	25	ophthalmology	ophthalmology	NOUN
cana-1835	93	26	.	.	PUNCT
cana-1835	94	1	an	an	DET
cana-1835	94	2	wedge	wedge	NOUN
cana-1835	94	3	shaped	shape	VERB
cana-1835	94	4	binary	binary	ADJ
cana-1835	94	5	pattern	pattern	NOUN
cana-1835	94	6	(	(	PUNCT
cana-1835	94	7	lbp	lbp	PROPN
cana-1835	94	8	pre	pre	PROPN
cana-1835	94	9	processor	processor	PROPN
cana-1835	94	10	model	model	NOUN
cana-1835	94	11	's	's	PART
cana-1835	94	12	block	block	NOUN
cana-1835	94	13	design	design	NOUN
cana-1835	94	14	is	be	AUX
cana-1835	94	15	shown	show	VERB
cana-1835	94	16	in	in	ADP
cana-1835	94	17	figure	figure	NOUN
cana-1835	94	18	2	2	NUM
cana-1835	94	19	below	below	ADV
cana-1835	94	20	.	.	PUNCT
cana-1835	95	1	preprocessing	preprocesse	VERB
cana-1835	95	2	𝑖𝑛𝑝𝑢𝑡	𝑖𝑛𝑝𝑢𝑡	NOUN
cana-1835	95	3	𝑖𝑚𝑎𝑔𝑒	𝑖𝑚𝑎𝑔𝑒	PROPN
cana-1835	95	4	1	1	NUM
cana-1835	95	5	.	.	PUNCT
cana-1835	95	6	adjacent	adjacent	ADJ
cana-1835	95	7	pixel	pixel	PROPN
cana-1835	95	8	coordinate	coordinate	NOUN
cana-1835	95	9	identificati	identificati	PROPN
cana-1835	95	10	ons	ons	PROPN
cana-1835	95	11	2	2	NUM
cana-1835	95	12	.	.	PUNCT
cana-1835	95	13	local	local	ADJ
cana-1835	95	14	angular	angular	ADJ
cana-1835	95	15	position	position	NOUN
cana-1835	95	16	feature	feature	NOUN
cana-1835	95	17	extraction	extraction	NOUN
cana-1835	95	18	from	from	ADP
cana-1835	95	19	preprocessed	preprocesse	VERB
cana-1835	95	20	image	image	NOUN
cana-1835	95	21	sinusoidal	sinusoidal	NOUN
cana-1835	95	22	gaussian	gaussian	ADJ
cana-1835	95	23	feature	feature	NOUN
cana-1835	95	24	extraction	extraction	NOUN
cana-1835	95	25	glaucoma	glaucoma	NOUN
cana-1835	95	26	detection	detection	NOUN
cana-1835	95	27	from	from	ADP
cana-1835	95	28	feature	feature	NOUN
cana-1835	95	29	extracted	extract	VERB
cana-1835	95	30	image	image	NOUN
cana-1835	95	31	multi	multi	ADJ
cana-1835	95	32	-	-	ADJ
cana-1835	95	33	class	class	ADJ
cana-1835	95	34	hinge	hinge	NOUN
cana-1835	95	35	support	support	NOUN
cana-1835	95	36	vector	vector	NOUN
cana-1835	95	37	glaucoma	glaucoma	NOUN
cana-1835	95	38	detection	detection	NOUN
cana-1835	95	39	communications	communication	NOUN
cana-1835	95	40	on	on	ADP
cana-1835	95	41	applied	apply	VERB
cana-1835	95	42	nonlinear	nonlinear	ADJ
cana-1835	95	43	analysis	analysis	NOUN
cana-1835	95	44	issn	issn	NOUN
cana-1835	95	45	:	:	PUNCT
cana-1835	95	46	1074	1074	NUM
cana-1835	95	47	-	-	PUNCT
cana-1835	95	48	133x	133x	NUM
cana-1835	95	49	vol	vol	NOUN
cana-1835	95	50	32	32	NUM
cana-1835	95	51	no	no	NOUN
cana-1835	95	52	.	.	NOUN
cana-1835	95	53	2	2	NUM
cana-1835	95	54	(	(	PUNCT
cana-1835	95	55	2025	2025	NUM
cana-1835	95	56	)	)	PUNCT
cana-1835	95	57	598	598	NUM
cana-1835	95	58	https://internationalpubls.com	https://internationalpubls.com	X
cana-1835	95	59	figure	figure	NOUN
cana-1835	95	60	2	2	NUM
cana-1835	95	61	wedge	wedge	NOUN
cana-1835	95	62	shaped	shape	VERB
cana-1835	95	63	binary	binary	ADJ
cana-1835	95	64	pattern	pattern	NOUN
cana-1835	95	65	(	(	PUNCT
cana-1835	95	66	lbp	lbp	PROPN
cana-1835	95	67	pre	pre	ADJ
cana-1835	95	68	processor	processor	NOUN
cana-1835	95	69	architecture	architecture	NOUN
cana-1835	95	70	diagram	diagram	NOUN
cana-1835	95	71	this	this	DET
cana-1835	95	72	same	same	ADJ
cana-1835	95	73	wedge	wedge	NOUN
cana-1835	95	74	shaped	shape	VERB
cana-1835	95	75	binary	binary	ADJ
cana-1835	95	76	pattern	pattern	NOUN
cana-1835	95	77	(	(	PUNCT
cana-1835	95	78	lbp	lbp	PROPN
cana-1835	95	79	preprocessor	preprocessor	NOUN
cana-1835	95	80	model	model	NOUN
cana-1835	95	81	is	be	AUX
cana-1835	95	82	built	build	VERB
cana-1835	95	83	as	as	ADP
cana-1835	95	84	illustrated	illustrate	VERB
cana-1835	95	85	in	in	ADP
cana-1835	95	86	the	the	DET
cana-1835	95	87	above	above	ADJ
cana-1835	95	88	figure	figure	NOUN
cana-1835	95	89	.	.	PUNCT
cana-1835	96	1	the	the	DET
cana-1835	96	2	initial	initial	ADJ
cana-1835	96	3	choice	choice	NOUN
cana-1835	96	4	is	be	AUX
cana-1835	96	5	indeed	indeed	ADV
cana-1835	96	6	a	a	DET
cana-1835	96	7	"	"	PUNCT
cana-1835	96	8	9	9	NUM
cana-1835	96	9	*	*	SYM
cana-1835	96	10	9	9	NUM
cana-1835	96	11	"	"	PUNCT
cana-1835	96	12	cubes	cube	NOUN
cana-1835	96	13	that	that	PRON
cana-1835	96	14	contains	contain	VERB
cana-1835	96	15	the	the	DET
cana-1835	96	16	pixel	pixel	PROPN
cana-1835	96	17	value	value	NOUN
cana-1835	96	18	,	,	PUNCT
cana-1835	96	19	"	"	PUNCT
cana-1835	96	20	p	p	PROPN
cana-1835	96	21	c.	c.	PROPN
cana-1835	96	22	"	"	PUNCT
cana-1835	96	23	the	the	DET
cana-1835	96	24	dimensions	dimension	NOUN
cana-1835	96	25	of	of	ADP
cana-1835	96	26	a	a	DET
cana-1835	96	27	nearby	nearby	ADJ
cana-1835	96	28	pixels	pixel	NOUN
cana-1835	96	29	'	'	VERB
cana-1835	96	30	p	p	NOUN
cana-1835	96	31	a	a	PRON
cana-1835	96	32	'	'	PUNCT
cana-1835	96	33	are	be	AUX
cana-1835	96	34	then	then	ADV
cana-1835	96	35	evaluated	evaluate	VERB
cana-1835	96	36	for	for	ADP
cana-1835	96	37	the	the	DET
cana-1835	96	38	appropriate	appropriate	ADJ
cana-1835	96	39	angle	angle	NOUN
cana-1835	96	40	.	.	PUNCT
cana-1835	97	1	if	if	SCONJ
cana-1835	97	2	indeed	indeed	ADV
cana-1835	97	3	the	the	DET
cana-1835	97	4	frequency	frequency	NOUN
cana-1835	97	5	of	of	ADP
cana-1835	97	6	the	the	DET
cana-1835	97	7	entering	enter	VERB
cana-1835	97	8	image	image	NOUN
cana-1835	97	9	is	be	AUX
cana-1835	97	10	greater	great	ADJ
cana-1835	97	11	than	than	ADP
cana-1835	97	12	the	the	DET
cana-1835	97	13	value	value	NOUN
cana-1835	97	14	of	of	ADP
cana-1835	97	15	something	something	PRON
cana-1835	97	16	like	like	ADP
cana-1835	97	17	the	the	DET
cana-1835	97	18	neighboring	neighboring	NOUN
cana-1835	97	19	pixel	pixel	NOUN
cana-1835	97	20	,	,	PUNCT
cana-1835	97	21	it	it	PRON
cana-1835	97	22	is	be	AUX
cana-1835	97	23	exchanged	exchange	VERB
cana-1835	97	24	by	by	ADP
cana-1835	97	25	"	"	PUNCT
cana-1835	97	26	1	1	NUM
cana-1835	97	27	,	,	PUNCT
cana-1835	97	28	"	"	PUNCT
cana-1835	97	29	otherwise	otherwise	ADV
cana-1835	97	30	with	with	ADP
cana-1835	97	31	"	"	PUNCT
cana-1835	97	32	0	0	NUM
cana-1835	97	33	.	.	PUNCT
cana-1835	97	34	"	"	PUNCT
cana-1835	98	1	even	even	ADV
cana-1835	98	2	though	though	SCONJ
cana-1835	98	3	the	the	DET
cana-1835	98	4	inter	inter	ADJ
cana-1835	98	5	geometric	geometric	ADJ
cana-1835	98	6	assessment	assessment	NOUN
cana-1835	98	7	[	[	X
cana-1835	98	8	1	1	X
cana-1835	98	9	]	]	PUNCT
cana-1835	98	10	has	have	AUX
cana-1835	98	11	been	be	AUX
cana-1835	98	12	adept	adept	ADJ
cana-1835	98	13	at	at	ADP
cana-1835	98	14	collecting	collect	VERB
cana-1835	98	15	the	the	DET
cana-1835	98	16	important	important	ADJ
cana-1835	98	17	variety	variety	NOUN
cana-1835	98	18	of	of	ADP
cana-1835	98	19	features	feature	NOUN
cana-1835	98	20	,	,	PUNCT
cana-1835	98	21	a	a	DET
cana-1835	98	22	pretty	pretty	ADV
cana-1835	98	23	sizeable	sizeable	ADJ
cana-1835	98	24	group	group	NOUN
cana-1835	98	25	of	of	ADP
cana-1835	98	26	feature	feature	NOUN
cana-1835	98	27	representation	representation	NOUN
cana-1835	98	28	are	be	AUX
cana-1835	98	29	modestly	modestly	ADV
cana-1835	98	30	completely	completely	ADV
cana-1835	98	31	eradicated	eradicate	VERB
cana-1835	98	32	inside	inside	ADP
cana-1835	98	33	the	the	DET
cana-1835	98	34	final	final	ADJ
cana-1835	98	35	image	image	NOUN
cana-1835	98	36	representation	representation	NOUN
cana-1835	98	37	recognition	recognition	NOUN
cana-1835	98	38	,	,	PUNCT
cana-1835	98	39	regardless	regardless	ADV
cana-1835	98	40	of	of	ADP
cana-1835	98	41	the	the	DET
cana-1835	98	42	fact	fact	NOUN
cana-1835	98	43	that	that	SCONJ
cana-1835	98	44	they	they	PRON
cana-1835	98	45	begin	begin	VERB
cana-1835	98	46	making	make	VERB
cana-1835	98	47	up	up	ADP
cana-1835	98	48	an	an	DET
cana-1835	98	49	important	important	ADJ
cana-1835	98	50	feature	feature	NOUN
cana-1835	98	51	that	that	PRON
cana-1835	98	52	could	could	AUX
cana-1835	98	53	be	be	AUX
cana-1835	98	54	essential	essential	ADJ
cana-1835	98	55	for	for	ADP
cana-1835	98	56	disease	disease	NOUN
cana-1835	98	57	detection	detection	NOUN
cana-1835	98	58	.	.	PUNCT
cana-1835	99	1	this	this	DET
cana-1835	99	2	study	study	NOUN
cana-1835	99	3	aims	aim	VERB
cana-1835	99	4	to	to	PART
cana-1835	99	5	develop	develop	VERB
cana-1835	99	6	a	a	DET
cana-1835	99	7	wedge	wedge	NOUN
cana-1835	99	8	shaped	shape	VERB
cana-1835	99	9	binary	binary	ADJ
cana-1835	99	10	pattern	pattern	NOUN
cana-1835	99	11	(	(	PUNCT
cana-1835	99	12	lbp	lbp	PROPN
cana-1835	99	13	pre	pre	ADJ
cana-1835	99	14	processor	processor	NOUN
cana-1835	99	15	framework	framework	NOUN
cana-1835	99	16	that	that	PRON
cana-1835	99	17	makes	make	VERB
cana-1835	99	18	the	the	DET
cana-1835	99	19	use	use	NOUN
cana-1835	99	20	alignment	alignment	NOUN
cana-1835	99	21	tilt	tilt	NOUN
cana-1835	99	22	between	between	ADP
cana-1835	99	23	image	image	NOUN
cana-1835	99	24	pixels	pixel	NOUN
cana-1835	99	25	and	and	CCONJ
cana-1835	99	26	component	component	NOUN
cana-1835	99	27	angle	angle	NOUN
cana-1835	99	28	vectors	vector	NOUN
cana-1835	99	29	that	that	PRON
cana-1835	99	30	vary	vary	VERB
cana-1835	99	31	between	between	ADP
cana-1835	99	32	'	'	PUNCT
cana-1835	99	33	0	0	NUM
cana-1835	99	34	°	°	NOUN
cana-1835	99	35	'	'	PUNCT
cana-1835	99	36	through	through	ADP
cana-1835	99	37	'	'	NUM
cana-1835	99	38	180	180	NUM
cana-1835	99	39	°	°	NOUN
cana-1835	99	40	'	'	PUNCT
cana-1835	99	41	in	in	ADP
cana-1835	99	42	order	order	NOUN
cana-1835	99	43	to	to	PART
cana-1835	99	44	get	get	VERB
cana-1835	99	45	around	around	ADP
cana-1835	99	46	this	this	DET
cana-1835	99	47	problem	problem	NOUN
cana-1835	99	48	.	.	PUNCT
cana-1835	100	1	as	as	ADP
cana-1835	100	2	just	just	ADV
cana-1835	100	3	an	an	DET
cana-1835	100	4	outcome	outcome	NOUN
cana-1835	100	5	,	,	PUNCT
cana-1835	100	6	the	the	DET
cana-1835	100	7	coordinate	coordinate	NOUN
cana-1835	100	8	of	of	ADP
cana-1835	100	9	the	the	DET
cana-1835	100	10	adjacent	adjacent	ADJ
cana-1835	100	11	pixels	pixel	NOUN
cana-1835	100	12	,	,	PUNCT
cana-1835	100	13	denoted	denote	VERB
cana-1835	100	14	as	as	ADP
cana-1835	100	15	"	"	PUNCT
cana-1835	100	16	p	p	X
cana-1835	100	17	a	a	X
cana-1835	100	18	,	,	PUNCT
cana-1835	100	19	"	"	PUNCT
cana-1835	100	20	are	be	AUX
cana-1835	100	21	as	as	SCONJ
cana-1835	100	22	continues	continue	VERB
cana-1835	100	23	to	to	PART
cana-1835	100	24	follow	follow	VERB
cana-1835	100	25	:	:	PUNCT
cana-1835	100	26	"	"	PUNCT
cana-1835	100	27	a[0	a[0	PROPN
cana-1835	100	28	,	,	PUNCT
cana-1835	100	29	...	...	PUNCT
cana-1835	100	30	,	,	PUNCT
cana-1835	100	31	7	7	NUM
cana-1835	100	32	]	]	PUNCT
cana-1835	100	33	.	.	PUNCT
cana-1835	101	1	𝑖𝑓	𝑖𝑓	VERB
cana-1835	101	2	0	0	NUM
cana-1835	102	1	≤	≤	NUM
cana-1835	102	2	𝜃	𝜃	X
cana-1835	102	3	≤	≤	NUM
cana-1835	102	4	90	90	NUM
cana-1835	102	5	𝑡ℎ𝑒𝑛	𝑡ℎ𝑒𝑛	NOUN
cana-1835	102	6	,	,	PUNCT
cana-1835	102	7	(	(	PUNCT
cana-1835	102	8	𝑀𝑝	𝑀𝑝	PROPN
cana-1835	102	9	,	,	PUNCT
cana-1835	102	10	𝑁𝑝	𝑁𝑝	NOUN
cana-1835	102	11	)	)	PUNCT
cana-1835	102	12	=	=	PRON
cana-1835	102	13	{	{	PUNCT
cana-1835	102	14	𝑀𝑝	𝑀𝑝	NOUN
cana-1835	102	15	=	=	SYM
cana-1835	102	16	𝑀𝑐	𝑀𝑐	PROPN
cana-1835	102	17	+	+	NUM
cana-1835	102	18	𝛼	𝛼	X
cana-1835	102	19	𝑁𝑝	𝑁𝑝	NOUN
cana-1835	102	20	=	=	PUNCT
cana-1835	103	1	𝑁𝑐	𝑁𝑐	PROPN
cana-1835	103	2	+	+	PUNCT
cana-1835	104	1	[	[	X
cana-1835	104	2	𝑀𝑝	𝑀𝑝	NOUN
cana-1835	104	3	tan(𝜃	tan(𝜃	PROPN
cana-1835	104	4	)	)	PUNCT
cana-1835	104	5	]	]	PUNCT
cana-1835	105	1	(	(	PUNCT
cana-1835	105	2	1	1	X
cana-1835	105	3	)	)	PUNCT
cana-1835	105	4	𝑖𝑓	𝑖𝑓	ADP
cana-1835	105	5	90	90	NUM
cana-1835	105	6	≤	≤	NUM
cana-1835	105	7	𝜃	𝜃	X
cana-1835	105	8	≤	≤	NUM
cana-1835	105	9	180	180	NUM
cana-1835	105	10	𝑡ℎ𝑒𝑛	𝑡ℎ𝑒𝑛	NOUN
cana-1835	105	11	,	,	PUNCT
cana-1835	105	12	(	(	PUNCT
cana-1835	105	13	𝑀𝑝	𝑀𝑝	PROPN
cana-1835	105	14	,	,	PUNCT
cana-1835	105	15	𝑁𝑝	𝑁𝑝	NOUN
cana-1835	105	16	)	)	PUNCT
cana-1835	105	17	=	=	PRON
cana-1835	105	18	{	{	PUNCT
cana-1835	106	1	𝑁𝑝	𝑁𝑝	X
cana-1835	106	2	=	=	PUNCT
cana-1835	107	1	𝑁𝑐	𝑁𝑐	PROPN
cana-1835	107	2	+	+	NUM
cana-1835	107	3	𝛼	𝛼	NOUN
cana-1835	107	4	𝑀𝑝	𝑀𝑝	NOUN
cana-1835	107	5	=	=	SYM
cana-1835	107	6	𝑀𝑐	𝑀𝑐	PROPN
cana-1835	108	1	+	+	CCONJ
cana-1835	108	2	[	[	X
cana-1835	108	3	𝑁𝑝	𝑁𝑝	NOUN
cana-1835	108	4	(	(	PUNCT
cana-1835	108	5	1	1	NUM
cana-1835	108	6	tan(𝜃	tan(𝜃	PROPN
cana-1835	108	7	)	)	PUNCT
cana-1835	108	8	)	)	PUNCT
cana-1835	108	9	]	]	PUNCT
cana-1835	108	10	(	(	PUNCT
cana-1835	108	11	2	2	X
cana-1835	108	12	)	)	PUNCT
cana-1835	108	13	represents	represent	VERB
cana-1835	108	14	four	four	NUM
cana-1835	108	15	rotational	rotational	ADJ
cana-1835	108	16	orientations	orientation	NOUN
cana-1835	108	17	,	,	PUNCT
cana-1835	108	18	namely	namely	ADV
cana-1835	108	19	wing	wing	NOUN
cana-1835	108	20	positioned	position	VERB
cana-1835	108	21	,	,	PUNCT
cana-1835	108	22	correct	correct	ADJ
cana-1835	108	23	position	position	NOUN
cana-1835	108	24	,	,	PUNCT
cana-1835	108	25	upturn	upturn	NOUN
cana-1835	108	26	,	,	PUNCT
cana-1835	108	27	and	and	CCONJ
cana-1835	108	28	down	down	ADV
cana-1835	108	29	,	,	PUNCT
cana-1835	108	30	respectively	respectively	ADV
cana-1835	108	31	.	.	PUNCT
cana-1835	109	1	this	this	PRON
cana-1835	109	2	is	be	AUX
cana-1835	109	3	apparent	apparent	ADJ
cana-1835	109	4	from	from	ADP
cana-1835	109	5	the	the	DET
cana-1835	109	6	two	two	NUM
cana-1835	109	7	variables	variable	NOUN
cana-1835	109	8	(	(	PUNCT
cana-1835	109	9	1	1	NUM
cana-1835	109	10	)	)	PUNCT
cana-1835	109	11	and	and	CCONJ
cana-1835	109	12	(	(	PUNCT
cana-1835	109	13	2	2	X
cana-1835	109	14	)	)	PUNCT
cana-1835	109	15	above	above	ADV
cana-1835	109	16	.	.	PUNCT
cana-1835	110	1	furthermore	furthermore	ADV
cana-1835	110	2	,	,	PUNCT
cana-1835	110	3	"	"	PUNCT
cana-1835	110	4	m	m	VERB
cana-1835	110	5	c	c	NOUN
cana-1835	110	6	"	"	PUNCT
cana-1835	110	7	and	and	CCONJ
cana-1835	110	8	"	"	PUNCT
cana-1835	110	9	n	n	PRON
cana-1835	110	10	c	c	X
cana-1835	110	11	"	"	PUNCT
cana-1835	110	12	represent	represent	VERB
cana-1835	110	13	again	again	ADV
cana-1835	110	14	for	for	ADP
cana-1835	110	15	respective	respective	ADJ
cana-1835	110	16	center	center	NOUN
cana-1835	110	17	of	of	ADP
cana-1835	110	18	a	a	DET
cana-1835	110	19	two	two	NUM
cana-1835	110	20	dimensions	dimension	NOUN
cana-1835	110	21	"	"	PUNCT
cana-1835	110	22	m	m	NOUN
cana-1835	110	23	"	"	PUNCT
cana-1835	110	24	as	as	ADV
cana-1835	110	25	well	well	ADV
cana-1835	110	26	as	as	ADP
cana-1835	110	27	"	"	PUNCT
cana-1835	110	28	n	n	CCONJ
cana-1835	110	29	"	"	PUNCT
cana-1835	110	30	of	of	ADP
cana-1835	110	31	a	a	DET
cana-1835	110	32	input	input	NOUN
cana-1835	110	33	retina	retina	NOUN
cana-1835	110	34	"	"	PUNCT
cana-1835	110	35	iri	iri	NOUN
cana-1835	110	36	.	.	PUNCT
cana-1835	110	37	"	"	PUNCT
cana-1835	111	1	none	none	NOUN
cana-1835	111	2	the	the	DET
cana-1835	111	3	less	less	ADJ
cana-1835	111	4	,	,	PUNCT
cana-1835	111	5	the	the	DET
cana-1835	111	6	gradients	gradient	NOUN
cana-1835	111	7	of	of	ADP
cana-1835	111	8	pixel	pixel	PROPN
cana-1835	111	9	intensities	intensity	NOUN
cana-1835	111	10	in	in	ADP
cana-1835	111	11	the	the	DET
cana-1835	111	12	"	"	PUNCT
cana-1835	111	13	m	m	NOUN
cana-1835	111	14	"	"	PUNCT
cana-1835	111	15	and	and	CCONJ
cana-1835	111	16	"	"	PUNCT
cana-1835	111	17	n	n	CCONJ
cana-1835	111	18	"	"	PUNCT
cana-1835	111	19	directions	direction	NOUN
cana-1835	111	20	of	of	ADP
cana-1835	111	21	the	the	DET
cana-1835	111	22	cube	cube	NOUN
cana-1835	111	23	are	be	AUX
cana-1835	111	24	looked	look	VERB
cana-1835	111	25	at	at	ADP
cana-1835	111	26	with	with	ADP
cana-1835	111	27	the	the	DET
cana-1835	111	28	goal	goal	NOUN
cana-1835	111	29	of	of	ADP
cana-1835	111	30	identifying	identify	VERB
cana-1835	111	31	the	the	DET
cana-1835	111	32	angular	angular	ADJ
cana-1835	111	33	position	position	NOUN
cana-1835	111	34	.	.	PUNCT
cana-1835	112	1	the	the	DET
cana-1835	112	2	gradients	gradient	NOUN
cana-1835	112	3	"	"	PUNCT
cana-1835	112	4	o	o	NOUN
cana-1835	112	5	"	"	PUNCT
cana-1835	112	6	and	and	CCONJ
cana-1835	112	7	"	"	PUNCT
cana-1835	112	8	m	m	NOUN
cana-1835	112	9	"	"	PUNCT
cana-1835	112	10	at	at	ADP
cana-1835	112	11	every	every	DET
cana-1835	112	12	pixels	pixel	NOUN
cana-1835	112	13	of	of	ADP
cana-1835	112	14	width	width	ADJ
cana-1835	112	15	"	"	PUNCT
cana-1835	112	16	a	a	DET
cana-1835	112	17	,	,	PUNCT
cana-1835	112	18	b	b	NOUN
cana-1835	112	19	"	"	PUNCT
cana-1835	112	20	therefore	therefore	ADV
cana-1835	112	21	are	be	AUX
cana-1835	112	22	evaluated	evaluate	VERB
cana-1835	112	23	simultaneously	simultaneously	ADV
cana-1835	112	24	.	.	PUNCT
cana-1835	113	1	after	after	ADP
cana-1835	113	2	which	which	PRON
cana-1835	113	3	,	,	PUNCT
cana-1835	113	4	an	an	DET
cana-1835	113	5	estimation	estimation	NOUN
cana-1835	113	6	of	of	ADP
cana-1835	113	7	the	the	DET
cana-1835	113	8	each	each	DET
cana-1835	113	9	cube	cube	NOUN
cana-1835	113	10	's	's	PART
cana-1835	113	11	local	local	ADJ
cana-1835	113	12	rotational	rotational	ADJ
cana-1835	113	13	orientation	orientation	NOUN
cana-1835	113	14	,	,	PUNCT
cana-1835	113	15	centred	centre	VERB
cana-1835	113	16	at	at	ADP
cana-1835	113	17	pixels	pixel	NOUN
cana-1835	113	18	"	"	PUNCT
cana-1835	113	19	(	(	PUNCT
cana-1835	113	20	m	m	NOUN
cana-1835	113	21	c	c	NOUN
cana-1835	113	22	,	,	PUNCT
cana-1835	113	23	n	n	PROPN
cana-1835	113	24	c	c	NOUN
cana-1835	113	25	)	)	PUNCT
cana-1835	113	26	,	,	PUNCT
cana-1835	113	27	"	"	PUNCT
cana-1835	113	28	was	be	AUX
cana-1835	113	29	produced	produce	VERB
cana-1835	113	30	,	,	PUNCT
cana-1835	113	31	which	which	PRON
cana-1835	113	32	is	be	AUX
cana-1835	113	33	illustrated	illustrate	VERB
cana-1835	113	34	below	below	ADV
cana-1835	113	35	.	.	PUNCT
cana-1835	114	1	retinal	retinal	ADJ
cana-1835	114	2	oct	oct	NOUN
cana-1835	114	3	images	image	NOUN
cana-1835	114	4	obtain	obtain	VERB
cana-1835	114	5	local	local	ADJ
cana-1835	114	6	angular	angular	ADJ
cana-1835	114	7	position	position	NOUN
cana-1835	114	8	foremost	foremost	ADJ
cana-1835	114	9	feature	feature	NOUN
cana-1835	114	10	communications	communication	NOUN
cana-1835	114	11	on	on	ADP
cana-1835	114	12	applied	apply	VERB
cana-1835	114	13	nonlinear	nonlinear	ADJ
cana-1835	114	14	analysis	analysis	NOUN
cana-1835	114	15	issn	issn	NOUN
cana-1835	114	16	:	:	PUNCT
cana-1835	114	17	1074	1074	NUM
cana-1835	114	18	-	-	PUNCT
cana-1835	114	19	133x	133x	NUM
cana-1835	114	20	vol	vol	NOUN
cana-1835	114	21	32	32	NUM
cana-1835	114	22	no	no	NOUN
cana-1835	114	23	.	.	NOUN
cana-1835	114	24	2	2	NUM
cana-1835	114	25	(	(	PUNCT
cana-1835	114	26	2025	2025	NUM
cana-1835	114	27	)	)	PUNCT
cana-1835	114	28	599	599	NUM
cana-1835	114	29	https://internationalpubls.com	https://internationalpubls.com	X
cana-1835	114	30	𝐿𝑀(𝑀𝑐	𝐿𝑀(𝑀𝑐	PROPN
cana-1835	114	31	,	,	PUNCT
cana-1835	114	32	𝑁𝑐	𝑁𝑐	PROPN
cana-1835	114	33	)	)	PUNCT
cana-1835	114	34	=	=	SYM
cana-1835	114	35	2𝜕𝑀(𝑎	2𝜕𝑀(𝑎	NUM
cana-1835	114	36	,	,	PUNCT
cana-1835	114	37	𝑏)𝜕𝑁(𝑎	𝑏)𝜕𝑁(𝑎	PROPN
cana-1835	114	38	,	,	PUNCT
cana-1835	114	39	𝑏	𝑏	NOUN
cana-1835	114	40	)	)	PUNCT
cana-1835	114	41	(	(	PUNCT
cana-1835	114	42	3	3	X
cana-1835	114	43	)	)	PUNCT
cana-1835	114	44	𝐿𝑁(𝑀𝑐	𝐿𝑁(𝑀𝑐	PROPN
cana-1835	114	45	,	,	PUNCT
cana-1835	114	46	𝑁𝑐	𝑁𝑐	PROPN
cana-1835	114	47	)	)	PUNCT
cana-1835	114	48	=	=	PUNCT
cana-1835	115	1	[	[	X
cana-1835	115	2	𝜕𝑀	𝜕𝑀	ADP
cana-1835	115	3	2	2	NUM
cana-1835	115	4	(	(	PUNCT
cana-1835	115	5	𝑎	𝑎	NOUN
cana-1835	115	6	,	,	PUNCT
cana-1835	115	7	𝑏	𝑏	NOUN
cana-1835	115	8	)	)	PUNCT
cana-1835	115	9	−	−	PROPN
cana-1835	115	10	𝜕𝑁	𝜕𝑁	NOUN
cana-1835	115	11	2	2	NUM
cana-1835	115	12	(	(	PUNCT
cana-1835	115	13	𝑎	𝑎	NOUN
cana-1835	115	14	,	,	PUNCT
cana-1835	115	15	𝑏	𝑏	NOUN
cana-1835	115	16	)	)	PUNCT
cana-1835	115	17	]	]	PUNCT
cana-1835	115	18	(	(	PUNCT
cana-1835	115	19	4	4	X
cana-1835	115	20	)	)	PUNCT
cana-1835	115	21	a	a	DET
cana-1835	115	22	fundamental	fundamental	ADJ
cana-1835	115	23	characteristic	characteristic	NOUN
cana-1835	115	24	reflecting	reflect	VERB
cana-1835	115	25	the	the	DET
cana-1835	115	26	rotational	rotational	ADJ
cana-1835	115	27	dimension	dimension	NOUN
cana-1835	115	28	"	"	PUNCT
cana-1835	115	29	"	"	PUNCT
cana-1835	115	30	of	of	ADP
cana-1835	115	31	a	a	DET
cana-1835	115	32	cube	cube	NOUN
cana-1835	115	33	centred	centre	VERB
cana-1835	115	34	at	at	ADP
cana-1835	115	35	image	image	NOUN
cana-1835	115	36	"	"	PUNCT
cana-1835	115	37	(	(	PUNCT
cana-1835	115	38	m	m	NOUN
cana-1835	115	39	c	c	NOUN
cana-1835	115	40	,	,	PUNCT
cana-1835	115	41	n	n	PROPN
cana-1835	115	42	c	c	NOUN
cana-1835	115	43	)	)	PUNCT
cana-1835	115	44	"	"	PUNCT
cana-1835	115	45	is	be	AUX
cana-1835	115	46	performed	perform	VERB
cana-1835	115	47	accordingly	accordingly	ADV
cana-1835	115	48	following	follow	VERB
cana-1835	115	49	using	use	VERB
cana-1835	115	50	calculations	calculation	NOUN
cana-1835	115	51	(	(	PUNCT
cana-1835	115	52	3	3	NUM
cana-1835	115	53	)	)	PUNCT
cana-1835	115	54	as	as	ADV
cana-1835	115	55	well	well	ADV
cana-1835	115	56	as	as	ADP
cana-1835	115	57	(	(	PUNCT
cana-1835	115	58	4	4	NUM
cana-1835	115	59	)	)	PUNCT
cana-1835	115	60	above	above	ADP
cana-1835	115	61	:	:	PUNCT
cana-1835	115	62	𝜃(𝑀𝑐	𝜃(𝑀𝑐	NOUN
cana-1835	115	63	,	,	PUNCT
cana-1835	115	64	𝑁𝑐	𝑁𝑐	PROPN
cana-1835	115	65	)	)	PUNCT
cana-1835	115	66	=	=	SYM
cana-1835	115	67	1	1	NUM
cana-1835	115	68	2	2	NUM
cana-1835	115	69	𝑡𝑎𝑛−1	𝑡𝑎𝑛−1	PROPN
cana-1835	115	70	[	[	PUNCT
cana-1835	115	71	𝐿𝑁(𝑀𝑐,𝑁𝑐	𝐿𝑁(𝑀𝑐,𝑁𝑐	X
cana-1835	115	72	)	)	PUNCT
cana-1835	115	73	𝐿𝑀(𝑀𝑐,𝑁𝑐	𝐿𝑀(𝑀𝑐,𝑁𝑐	PUNCT
cana-1835	115	74	)	)	PUNCT
cana-1835	115	75	]	]	PUNCT
cana-1835	116	1	(	(	PUNCT
cana-1835	116	2	5	5	NUM
cana-1835	116	3	)	)	PUNCT
cana-1835	116	4	by	by	ADP
cana-1835	116	5	removing	remove	VERB
cana-1835	116	6	the	the	DET
cana-1835	116	7	anomalies	anomaly	NOUN
cana-1835	116	8	that	that	PRON
cana-1835	116	9	are	be	AUX
cana-1835	116	10	just	just	ADV
cana-1835	116	11	not	not	PART
cana-1835	116	12	connected	connect	VERB
cana-1835	116	13	to	to	ADP
cana-1835	116	14	ophthalmology	ophthalmology	NOUN
cana-1835	116	15	using	use	VERB
cana-1835	116	16	equation	equation	NOUN
cana-1835	116	17	(	(	PUNCT
cana-1835	116	18	5	5	NUM
cana-1835	116	19	)	)	PUNCT
cana-1835	116	20	previously	previously	ADV
cana-1835	116	21	,	,	PUNCT
cana-1835	116	22	the	the	DET
cana-1835	116	23	main	main	ADJ
cana-1835	116	24	feature	feature	NOUN
cana-1835	116	25	is	be	AUX
cana-1835	116	26	obtained	obtain	VERB
cana-1835	116	27	.	.	PUNCT
cana-1835	117	1	now	now	ADV
cana-1835	117	2	is	be	AUX
cana-1835	117	3	presented	present	VERB
cana-1835	117	4	masquerading	masquerade	VERB
cana-1835	117	5	representations	representation	NOUN
cana-1835	117	6	of	of	ADP
cana-1835	117	7	the	the	DET
cana-1835	117	8	local	local	ADJ
cana-1835	117	9	image	image	NOUN
cana-1835	117	10	preprocessor	preprocessor	NOUN
cana-1835	117	11	for	for	ADP
cana-1835	117	12	angular	angular	ADJ
cana-1835	117	13	.	.	PUNCT
cana-1835	118	1	input	input	NOUN
cana-1835	118	2	:	:	PUNCT
cana-1835	118	3	input	input	NOUN
cana-1835	118	4	retinal	retinal	ADJ
cana-1835	118	5	image	image	NOUN
cana-1835	118	6	‘	'	PUNCT
cana-1835	118	7	𝑅𝐼	𝑅𝐼	PROPN
cana-1835	118	8	=	=	SYM
cana-1835	118	9	𝐼1	𝐼1	PROPN
cana-1835	118	10	,	,	PUNCT
cana-1835	118	11	𝐼2	𝐼2	NOUN
cana-1835	118	12	,	,	PUNCT
cana-1835	118	13	…	…	PUNCT
cana-1835	118	14	,	,	PUNCT
cana-1835	118	15	𝐼𝑛	𝐼𝑛	PROPN
cana-1835	118	16	’	'	PUNCT
cana-1835	118	17	,	,	PUNCT
cana-1835	118	18	‘	'	PUNCT
cana-1835	118	19	𝛼	𝛼	NOUN
cana-1835	118	20	’	'	PUNCT
cana-1835	118	21	output	output	NOUN
cana-1835	118	22	:	:	PUNCT
cana-1835	118	23	prominent	prominent	ADJ
cana-1835	118	24	feature	feature	NOUN
cana-1835	118	25	‘	'	PUNCT
cana-1835	118	26	𝐹	𝐹	PROPN
cana-1835	118	27	=	=	SYM
cana-1835	118	28	𝑓1	𝑓1	ADJ
cana-1835	118	29	,	,	PUNCT
cana-1835	118	30	𝑓2	𝑓2	NOUN
cana-1835	118	31	,	,	PUNCT
cana-1835	118	32	…	…	PUNCT
cana-1835	118	33	,	,	PUNCT
cana-1835	118	34	𝑓𝑛	𝑓𝑛	NOUN
cana-1835	118	35	’	'	PUNCT
cana-1835	118	36	step	step	NOUN
cana-1835	118	37	1	1	NUM
cana-1835	118	38	:	:	PUNCT
cana-1835	118	39	direction	direction	NOUN
cana-1835	118	40	of	of	ADP
cana-1835	118	41	initialize	initialize	NOUN
cana-1835	118	42	pixel	pixel	PROPN
cana-1835	118	43	angular	angular	ADJ
cana-1835	118	44	directions	direction	NOUN
cana-1835	118	45	‘	'	PUNCT
cana-1835	118	46	𝜃	𝜃	NOUN
cana-1835	118	47	’	'	PUNCT
cana-1835	118	48	step	step	NOUN
cana-1835	118	49	3	3	NUM
cana-1835	118	50	:	:	PUNCT
cana-1835	118	51	for	for	ADP
cana-1835	118	52	each	each	DET
cana-1835	118	53	individual	individual	ADJ
cana-1835	118	54	retinal	retinal	ADJ
cana-1835	118	55	image	image	NOUN
cana-1835	118	56	‘	'	PUNCT
cana-1835	118	57	𝑅𝐼	𝑅𝐼	NOUN
cana-1835	118	58	’	'	PUNCT
cana-1835	118	59	step	step	NOUN
cana-1835	118	60	4	4	NUM
cana-1835	118	61	:	:	PUNCT
cana-1835	118	62	select	select	ADJ
cana-1835	118	63	‘	'	PUNCT
cana-1835	118	64	9	9	NUM
cana-1835	118	65	∗	∗	NOUN
cana-1835	118	66	9	9	NUM
cana-1835	118	67	’	'	PUNCT
cana-1835	118	68	cube	cube	NOUN
cana-1835	118	69	encircling	encircle	VERB
cana-1835	118	70	the	the	DET
cana-1835	118	71	center	center	NOUN
cana-1835	118	72	pixel	pixel	NOUN
cana-1835	118	73	,	,	PUNCT
cana-1835	118	74	‘	'	PUNCT
cana-1835	118	75	𝑃𝑐	𝑃𝑐	NOUN
cana-1835	118	76	’	'	PUNCT
cana-1835	118	77	step	step	NOUN
cana-1835	118	78	5	5	NUM
cana-1835	118	79	:	:	PUNCT
cana-1835	118	80	evaluate	evaluate	VERB
cana-1835	118	81	coordinates	coordinate	NOUN
cana-1835	118	82	of	of	ADP
cana-1835	118	83	the	the	DET
cana-1835	118	84	adjacent	adjacent	ADJ
cana-1835	118	85	pixels	pixel	NOUN
cana-1835	118	86	‘	'	PUNCT
cana-1835	118	87	𝑃𝑎=𝑃𝑓𝑝	𝑃𝑎=𝑃𝑓𝑝	NOUN
cana-1835	118	88	,	,	PUNCT
cana-1835	118	89	𝑃𝑓𝑝+1	𝑃𝑓𝑝+1	ADJ
cana-1835	118	90	,	,	PUNCT
cana-1835	118	91	𝑃𝑓𝑝−1	𝑃𝑓𝑝−1	PROPN
cana-1835	118	92	,	,	PUNCT
cana-1835	118	93	𝑚𝑃𝑓𝑝	𝑚𝑃𝑓𝑝	PROPN
cana-1835	118	94	,	,	PUNCT
cana-1835	118	95	𝑚	𝑚	X
cana-1835	118	96	+	+	NOUN
cana-1835	118	97	1𝑃𝑓𝑝	1𝑃𝑓𝑝	NUM
cana-1835	118	98	’	'	PUNCT
cana-1835	118	99	step	step	NOUN
cana-1835	118	100	6	6	NUM
cana-1835	118	101	:	:	PUNCT
cana-1835	118	102	for	for	ADP
cana-1835	118	103	each	each	DET
cana-1835	118	104	coordinates	coordinate	NOUN
cana-1835	118	105	step	step	VERB
cana-1835	118	106	7	7	NUM
cana-1835	118	107	:	:	PUNCT
cana-1835	118	108	obtain	obtain	VERB
cana-1835	118	109	coordinates	coordinate	NOUN
cana-1835	118	110	of	of	ADP
cana-1835	118	111	the	the	DET
cana-1835	118	112	adjacent	adjacent	ADJ
cana-1835	118	113	pixels	pixel	NOUN
cana-1835	118	114	‘	'	PUNCT
cana-1835	118	115	𝑃𝑎	𝑃𝑎	PROPN
cana-1835	118	116	’	'	PUNCT
cana-1835	118	117	using	use	VERB
cana-1835	118	118	(	(	PUNCT
cana-1835	118	119	1	1	NUM
cana-1835	118	120	)	)	PUNCT
cana-1835	118	121	and	and	CCONJ
cana-1835	118	122	(	(	PUNCT
cana-1835	118	123	2	2	X
cana-1835	118	124	)	)	PUNCT
cana-1835	118	125	step	step	NOUN
cana-1835	118	126	8	8	NUM
cana-1835	118	127	:	:	PUNCT
cana-1835	118	128	evaluate	evaluate	VERB
cana-1835	118	129	local	local	ADJ
cana-1835	118	130	angular	angular	ADJ
cana-1835	118	131	position	position	NOUN
cana-1835	118	132	of	of	ADP
cana-1835	118	133	each	each	DET
cana-1835	118	134	cube	cube	NOUN
cana-1835	118	135	centered	center	VERB
cana-1835	118	136	at	at	ADP
cana-1835	118	137	pixel	pixel	PROPN
cana-1835	118	138	‘	'	PUNCT
cana-1835	118	139	(	(	PUNCT
cana-1835	118	140	𝑀𝑐	𝑀𝑐	PROPN
cana-1835	118	141	,	,	PUNCT
cana-1835	118	142	𝑁𝑐	𝑁𝑐	PROPN
cana-1835	118	143	)	)	PUNCT
cana-1835	118	144	’	'	PUNCT
cana-1835	118	145	using	use	VERB
cana-1835	118	146	(	(	PUNCT
cana-1835	118	147	3	3	NUM
cana-1835	118	148	)	)	PUNCT
cana-1835	118	149	and	and	CCONJ
cana-1835	118	150	(	(	PUNCT
cana-1835	118	151	4	4	X
cana-1835	118	152	)	)	PUNCT
cana-1835	118	153	step	step	NOUN
cana-1835	118	154	9	9	NUM
cana-1835	118	155	:	:	PUNCT
cana-1835	118	156	evaluate	evaluate	VERB
cana-1835	118	157	foremost	foremost	ADJ
cana-1835	118	158	feature	feature	NOUN
cana-1835	118	159	representing	represent	VERB
cana-1835	118	160	the	the	DET
cana-1835	118	161	angular	angular	ADJ
cana-1835	118	162	direction	direction	NOUN
cana-1835	118	163	‘	'	PUNCT
cana-1835	118	164	𝜃	𝜃	NOUN
cana-1835	118	165	’	'	PUNCT
cana-1835	118	166	using	use	VERB
cana-1835	118	167	(	(	PUNCT
cana-1835	118	168	5	5	NUM
cana-1835	118	169	)	)	PUNCT
cana-1835	118	170	step	step	NOUN
cana-1835	118	171	10	10	NUM
cana-1835	118	172	:	:	PUNCT
cana-1835	118	173	return	return	VERB
cana-1835	118	174	foremost	foremost	ADJ
cana-1835	118	175	feature	feature	NOUN
cana-1835	118	176	‘	'	PUNCT
cana-1835	118	177	𝐹	𝐹	NOUN
cana-1835	118	178	’	'	PUNCT
cana-1835	118	179	step	step	NOUN
cana-1835	118	180	11	11	NUM
cana-1835	118	181	:	:	PUNCT
cana-1835	118	182	end	end	VERB
cana-1835	118	183	for	for	ADP
cana-1835	118	184	step	step	NOUN
cana-1835	118	185	12	12	NUM
cana-1835	118	186	:	:	PUNCT
cana-1835	118	187	end	end	VERB
cana-1835	118	188	for	for	ADP
cana-1835	118	189	step	step	NOUN
cana-1835	118	190	13	13	NUM
cana-1835	118	191	:	:	PUNCT
cana-1835	118	192	end	end	NOUN
cana-1835	118	193	algorithm	algorithm	NOUN
cana-1835	118	194	1	1	NUM
cana-1835	118	195	local	local	ADJ
cana-1835	118	196	binary	binary	NOUN
cana-1835	118	197	preprocessor	preprocessor	NOUN
cana-1835	118	198	based	base	VERB
cana-1835	118	199	on	on	ADP
cana-1835	118	200	angular	angular	ADJ
cana-1835	118	201	the	the	DET
cana-1835	118	202	objective	objective	NOUN
cana-1835	118	203	of	of	ADP
cana-1835	118	204	the	the	DET
cana-1835	118	205	algorithm	algorithm	NOUN
cana-1835	118	206	remains	remain	VERB
cana-1835	118	207	to	to	PART
cana-1835	118	208	efficiently	efficiently	ADV
cana-1835	118	209	get	get	VERB
cana-1835	118	210	the	the	DET
cana-1835	118	211	central	central	ADJ
cana-1835	118	212	component	component	NOUN
cana-1835	118	213	required	require	VERB
cana-1835	118	214	for	for	ADP
cana-1835	118	215	ophthalmology	ophthalmology	NOUN
cana-1835	118	216	diagnosis	diagnosis	NOUN
cana-1835	118	217	for	for	ADP
cana-1835	118	218	every	every	DET
cana-1835	118	219	retina	retina	NOUN
cana-1835	118	220	image	image	NOUN
cana-1835	118	221	given	give	VERB
cana-1835	118	222	as	as	ADP
cana-1835	118	223	input	input	NOUN
cana-1835	118	224	,	,	PUNCT
cana-1835	118	225	like	like	ADP
cana-1835	118	226	mentioned	mention	VERB
cana-1835	118	227	in	in	ADP
cana-1835	118	228	the	the	DET
cana-1835	118	229	previous	previous	ADJ
cana-1835	118	230	wedge	wedge	NOUN
cana-1835	118	231	shaped	shape	VERB
cana-1835	118	232	binary	binary	ADJ
cana-1835	118	233	pattern	pattern	NOUN
cana-1835	118	234	(	(	PUNCT
cana-1835	118	235	lbp	lbp	PROPN
cana-1835	118	236	preprocessor	preprocessor	NOUN
cana-1835	118	237	methodology	methodology	NOUN
cana-1835	118	238	.	.	PUNCT
cana-1835	119	1	this	this	DET
cana-1835	119	2	one	one	NOUN
cana-1835	119	3	is	be	AUX
cana-1835	119	4	performed	perform	VERB
cana-1835	119	5	by	by	ADP
cana-1835	119	6	obtaining	obtain	VERB
cana-1835	119	7	the	the	DET
cana-1835	119	8	regional	regional	ADJ
cana-1835	119	9	angular	angular	ADJ
cana-1835	119	10	displacement	displacement	NOUN
cana-1835	119	11	as	as	ADV
cana-1835	119	12	well	well	ADV
cana-1835	119	13	as	as	ADP
cana-1835	119	14	the	the	DET
cana-1835	119	15	dimensions	dimension	NOUN
cana-1835	119	16	of	of	ADP
cana-1835	119	17	something	something	PRON
cana-1835	119	18	like	like	ADP
cana-1835	119	19	the	the	DET
cana-1835	119	20	pixel	pixel	NOUN
cana-1835	119	21	that	that	PRON
cana-1835	119	22	really	really	ADV
cana-1835	119	23	are	be	AUX
cana-1835	119	24	close	close	ADJ
cana-1835	119	25	the	the	DET
cana-1835	119	26	relevant	relevant	ADJ
cana-1835	119	27	centre	centre	NOUN
cana-1835	119	28	pixels	pixel	VERB
cana-1835	119	29	.	.	PUNCT
cana-1835	120	1	the	the	DET
cana-1835	120	2	main	main	ADJ
cana-1835	120	3	attribute	attribute	NOUN
cana-1835	120	4	required	require	VERB
cana-1835	120	5	for	for	ADP
cana-1835	120	6	ophthalmology	ophthalmology	NOUN
cana-1835	120	7	detection	detection	NOUN
cana-1835	120	8	may	may	AUX
cana-1835	120	9	be	be	AUX
cana-1835	120	10	obtained	obtain	VERB
cana-1835	120	11	with	with	ADP
cana-1835	120	12	all	all	DET
cana-1835	120	13	these	these	DET
cana-1835	120	14	two	two	NUM
cana-1835	120	15	position	position	NOUN
cana-1835	120	16	data	datum	NOUN
cana-1835	120	17	in	in	ADP
cana-1835	120	18	the	the	DET
cana-1835	120	19	shortest	short	ADJ
cana-1835	120	20	possible	possible	ADJ
cana-1835	120	21	time	time	NOUN
cana-1835	120	22	.	.	PUNCT
cana-1835	121	1	2.3	2.3	NUM
cana-1835	121	2	extraction	extraction	NOUN
cana-1835	121	3	of	of	ADP
cana-1835	121	4	sinusoidal	sinusoidal	ADJ
cana-1835	121	5	discrete	discrete	ADJ
cana-1835	121	6	cosine	cosine	NOUN
cana-1835	121	7	-	-	PUNCT
cana-1835	121	8	based	base	VERB
cana-1835	121	9	gaussian	gaussian	NOUN
cana-1835	121	10	features	feature	NOUN
cana-1835	121	11	despite	despite	SCONJ
cana-1835	121	12	pure	pure	ADJ
cana-1835	121	13	image	image	NOUN
cana-1835	121	14	pixels	pixel	NOUN
cana-1835	121	15	are	be	AUX
cana-1835	121	16	able	able	ADJ
cana-1835	121	17	to	to	PART
cana-1835	121	18	serve	serve	VERB
cana-1835	121	19	as	as	ADP
cana-1835	121	20	an	an	DET
cana-1835	121	21	image	image	NOUN
cana-1835	121	22	feature	feature	NOUN
cana-1835	121	23	,	,	PUNCT
cana-1835	121	24	they	they	PRON
cana-1835	121	25	really	really	ADV
cana-1835	121	26	are	be	AUX
cana-1835	121	27	n't	not	PART
cana-1835	121	28	adequately	adequately	ADV
cana-1835	121	29	descriptive	descriptive	ADJ
cana-1835	121	30	for	for	ADP
cana-1835	121	31	examples	example	NOUN
cana-1835	121	32	beyond	beyond	ADP
cana-1835	121	33	the	the	DET
cana-1835	121	34	smallest	small	ADJ
cana-1835	121	35	ones	one	NOUN
cana-1835	121	36	,	,	PUNCT
cana-1835	121	37	particularly	particularly	ADV
cana-1835	121	38	when	when	SCONJ
cana-1835	121	39	working	work	VERB
cana-1835	121	40	with	with	ADP
cana-1835	121	41	retina	retina	NOUN
cana-1835	121	42	optimal	optimal	ADJ
cana-1835	121	43	scanning	scanning	NOUN
cana-1835	121	44	images	image	NOUN
cana-1835	121	45	.	.	PUNCT
cana-1835	122	1	the	the	DET
cana-1835	122	2	objective	objective	NOUN
cana-1835	122	3	is	be	AUX
cana-1835	122	4	to	to	PART
cana-1835	122	5	generate	generate	VERB
cana-1835	122	6	an	an	DET
cana-1835	122	7	image	image	NOUN
cana-1835	122	8	using	use	VERB
cana-1835	122	9	unique	unique	ADJ
cana-1835	122	10	traits	trait	NOUN
cana-1835	122	11	or	or	CCONJ
cana-1835	122	12	characteristics	characteristic	NOUN
cana-1835	122	13	that	that	SCONJ
cana-1835	122	14	communications	communication	NOUN
cana-1835	122	15	on	on	ADP
cana-1835	122	16	applied	apply	VERB
cana-1835	122	17	nonlinear	nonlinear	ADJ
cana-1835	122	18	analysis	analysis	NOUN
cana-1835	122	19	issn	issn	NOUN
cana-1835	122	20	:	:	PUNCT
cana-1835	122	21	1074	1074	NUM
cana-1835	122	22	-	-	PUNCT
cana-1835	122	23	133x	133x	NUM
cana-1835	122	24	vol	vol	NOUN
cana-1835	122	25	32	32	NUM
cana-1835	122	26	no	no	NOUN
cana-1835	122	27	.	.	NOUN
cana-1835	122	28	2	2	NUM
cana-1835	122	29	(	(	PUNCT
cana-1835	122	30	2025	2025	NUM
cana-1835	122	31	)	)	PUNCT
cana-1835	122	32	600	600	NUM
cana-1835	122	33	https://internationalpubls.com	https://internationalpubls.com	X
cana-1835	122	34	distinguish	distinguish	VERB
cana-1835	122	35	the	the	DET
cana-1835	122	36	observation	observation	NOUN
cana-1835	122	37	through	through	ADP
cana-1835	122	38	one	one	NUM
cana-1835	122	39	class	class	NOUN
cana-1835	122	40	from	from	ADP
cana-1835	122	41	some	some	DET
cana-1835	122	42	other	other	ADJ
cana-1835	122	43	(	(	PUNCT
cana-1835	122	44	i.e.	i.e.	X
cana-1835	122	45	detected	detect	VERB
cana-1835	122	46	with	with	ADP
cana-1835	122	47	glaucoma	glaucoma	NOUN
cana-1835	122	48	or	or	CCONJ
cana-1835	122	49	not	not	PART
cana-1835	122	50	)	)	PUNCT
cana-1835	122	51	.	.	PUNCT
cana-1835	123	1	thus	thus	ADV
cana-1835	123	2	the	the	PRON
cana-1835	123	3	,	,	PUNCT
cana-1835	123	4	extraction	extraction	NOUN
cana-1835	123	5	of	of	ADP
cana-1835	123	6	features	feature	NOUN
cana-1835	123	7	is	be	AUX
cana-1835	123	8	a	a	DET
cana-1835	123	9	critical	critical	ADJ
cana-1835	123	10	step	step	NOUN
cana-1835	123	11	whenever	whenever	SCONJ
cana-1835	123	12	implementing	implement	VERB
cana-1835	123	13	deep	deep	ADJ
cana-1835	123	14	learning	learning	NOUN
cana-1835	123	15	to	to	ADP
cana-1835	123	16	retinal	retinal	ADJ
cana-1835	123	17	images	image	NOUN
cana-1835	123	18	in	in	ADP
cana-1835	123	19	order	order	NOUN
cana-1835	123	20	to	to	PART
cana-1835	123	21	create	create	VERB
cana-1835	123	22	properties	property	NOUN
cana-1835	123	23	that	that	PRON
cana-1835	123	24	can	can	AUX
cana-1835	123	25	differentiate	differentiate	VERB
cana-1835	123	26	among	among	ADP
cana-1835	123	27	prominent	prominent	ADJ
cana-1835	123	28	and	and	CCONJ
cana-1835	123	29	ou	ou	PROPN
cana-1835	123	30	alors	alors	PROPN
cana-1835	123	31	information	information	NOUN
cana-1835	123	32	.	.	PUNCT
cana-1835	124	1	in	in	ADP
cana-1835	124	2	our	our	PRON
cana-1835	124	3	research	research	NOUN
cana-1835	124	4	,	,	PUNCT
cana-1835	124	5	the	the	DET
cana-1835	124	6	primary	primary	ADJ
cana-1835	124	7	objective	objective	NOUN
cana-1835	124	8	obtained	obtain	VERB
cana-1835	124	9	using	use	VERB
cana-1835	124	10	a	a	DET
cana-1835	124	11	wedge	wedge	NOUN
cana-1835	124	12	shaped	shape	VERB
cana-1835	124	13	binary	binary	ADJ
cana-1835	124	14	pattern	pattern	NOUN
cana-1835	124	15	(	(	PUNCT
cana-1835	124	16	lbp	lbp	PROPN
cana-1835	124	17	preprocessor	preprocessor	PROPN
cana-1835	124	18	is	be	AUX
cana-1835	124	19	subject	subject	ADJ
cana-1835	124	20	to	to	ADP
cana-1835	124	21	a	a	DET
cana-1835	124	22	stochastic	stochastic	ADJ
cana-1835	124	23	discrete	discrete	ADJ
cana-1835	124	24	extracting	extracting	NOUN
cana-1835	124	25	features	feature	NOUN
cana-1835	124	26	.	.	PUNCT
cana-1835	125	1	the	the	DET
cana-1835	125	2	schematic	schematic	ADJ
cana-1835	125	3	diagram	diagram	NOUN
cana-1835	125	4	again	again	ADV
cana-1835	125	5	for	for	ADP
cana-1835	125	6	harmonic	harmonic	ADJ
cana-1835	125	7	oscillator	oscillator	NOUN
cana-1835	125	8	discontinuous	discontinuous	ADJ
cana-1835	125	9	single	single	ADJ
cana-1835	125	10	input	input	NOUN
cana-1835	125	11	single	single	ADJ
cana-1835	125	12	stochastic	stochastic	NOUN
cana-1835	125	13	extracting	extract	VERB
cana-1835	125	14	features	feature	NOUN
cana-1835	125	15	model	model	NOUN
cana-1835	125	16	can	can	AUX
cana-1835	125	17	be	be	AUX
cana-1835	125	18	seen	see	VERB
cana-1835	125	19	in	in	ADP
cana-1835	125	20	figure	figure	NOUN
cana-1835	125	21	3	3	NUM
cana-1835	125	22	.	.	PUNCT
cana-1835	125	23	figure	figure	VERB
cana-1835	125	24	3	3	NUM
cana-1835	125	25	block	block	NOUN
cana-1835	125	26	diagram	diagram	NOUN
cana-1835	125	27	of	of	ADP
cana-1835	125	28	sinusoidal	sinusoidal	ADJ
cana-1835	125	29	discrete	discrete	ADJ
cana-1835	125	30	cosine	cosine	NOUN
cana-1835	125	31	-	-	PUNCT
cana-1835	125	32	based	base	VERB
cana-1835	125	33	gaussian	gaussian	ADJ
cana-1835	125	34	feature	feature	NOUN
cana-1835	125	35	extraction	extraction	NOUN
cana-1835	125	36	model	model	NOUN
cana-1835	125	37	in	in	ADP
cana-1835	125	38	accordance	accordance	NOUN
cana-1835	125	39	with	with	ADP
cana-1835	125	40	the	the	DET
cana-1835	125	41	above	above	ADJ
cana-1835	125	42	figure	figure	NOUN
cana-1835	125	43	,	,	PUNCT
cana-1835	125	44	each	each	DET
cana-1835	125	45	image	image	NOUN
cana-1835	125	46	's	's	PART
cana-1835	125	47	number	number	NOUN
cana-1835	125	48	of	of	ADP
cana-1835	125	49	pixels	pixel	NOUN
cana-1835	125	50	,	,	PUNCT
cana-1835	125	51	including	include	VERB
cana-1835	125	52	includes	include	VERB
cana-1835	125	53	the	the	DET
cana-1835	125	54	primary	primary	ADJ
cana-1835	125	55	characteristic	characteristic	NOUN
cana-1835	125	56	"	"	PUNCT
cana-1835	125	57	f	f	NOUN
cana-1835	125	58	"	"	PUNCT
cana-1835	125	59	with	with	ADP
cana-1835	125	60	length	length	NOUN
cana-1835	125	61	"	"	PUNCT
cana-1835	125	62	a*b	a*b	ADV
cana-1835	125	63	,	,	PUNCT
cana-1835	125	64	"	"	PUNCT
cana-1835	125	65	will	will	AUX
cana-1835	125	66	be	be	AUX
cana-1835	125	67	first	first	ADV
cana-1835	125	68	transformed	transform	VERB
cana-1835	125	69	into	into	ADP
cana-1835	125	70	the	the	DET
cana-1835	125	71	sinusoidal	sinusoidal	NOUN
cana-1835	125	72	discontinuous	discontinuous	ADJ
cana-1835	125	73	trigonometric	trigonometric	NOUN
cana-1835	125	74	in	in	ADP
cana-1835	125	75	the	the	DET
cana-1835	125	76	manner	manner	NOUN
cana-1835	125	77	illustrated	illustrate	VERB
cana-1835	125	78	below	below	ADV
cana-1835	125	79	.	.	PUNCT
cana-1835	126	1	𝐷𝐶𝑝𝑞	𝐷𝐶𝑝𝑞	NOUN
cana-1835	126	2	=	=	PUNCT
cana-1835	126	3	∑	∑	PUNCT
cana-1835	126	4	∑	∑	PUNCT
cana-1835	126	5	𝐹𝑎𝑏𝐶𝑜𝑠	𝐹𝑎𝑏𝐶𝑜𝑠	PROPN
cana-1835	126	6	(	(	PUNCT
cana-1835	126	7	𝜋(2𝑎+1)𝑝	𝜋(2𝑎+1)𝑝	PROPN
cana-1835	126	8	2𝐴	2𝐴	PROPN
cana-1835	126	9	)	)	PUNCT
cana-1835	127	1	𝐶𝑜𝑠	𝐶𝑜𝑠	PROPN
cana-1835	127	2	(	(	PUNCT
cana-1835	127	3	𝜋(2𝑏+1)𝑞	𝜋(2𝑏+1)𝑞	ADJ
cana-1835	127	4	2𝐵	2𝐵	NOUN
cana-1835	127	5	)	)	PUNCT
cana-1835	127	6	𝐵−1	𝐵−1	ADJ
cana-1835	127	7	𝑏=1	𝑏=1	PROPN
cana-1835	127	8	𝐴−1	𝐴−1	NOUN
cana-1835	127	9	𝑎=1	𝑎=1	NOUN
cana-1835	127	10	(	(	PUNCT
cana-1835	127	11	6	6	NUM
cana-1835	127	12	)	)	PUNCT
cana-1835	127	13	the	the	DET
cana-1835	127	14	discontinuous	discontinuous	ADJ
cana-1835	127	15	sine	sine	NOUN
cana-1835	127	16	'	'	PUNCT
cana-1835	127	17	direct	direct	ADJ
cana-1835	127	18	current	current	NOUN
cana-1835	127	19	'	'	PUNCT
cana-1835	127	20	of	of	ADP
cana-1835	127	21	magnitude	magnitude	NOUN
cana-1835	127	22	'	'	PUNCT
cana-1835	127	23	hence	hence	ADV
cana-1835	127	24	both	both	PRON
cana-1835	127	25	'	'	PUNCT
cana-1835	127	26	each	each	DET
cana-1835	127	27	pixels	pixel	NOUN
cana-1835	127	28	'	'	PUNCT
cana-1835	127	29	p	p	NOUN
cana-1835	127	30	,	,	PUNCT
cana-1835	127	31	q	q	NOUN
cana-1835	127	32	'	'	PUNCT
cana-1835	127	33	from	from	ADP
cana-1835	127	34	equations	equation	NOUN
cana-1835	127	35	(	(	PUNCT
cana-1835	127	36	6	6	NUM
cana-1835	127	37	)	)	PUNCT
cana-1835	127	38	previously	previously	ADV
cana-1835	127	39	performs	perform	VERB
cana-1835	127	40	out	out	ADP
cana-1835	127	41	the	the	DET
cana-1835	127	42	modification	modification	NOUN
cana-1835	127	43	through	through	ADP
cana-1835	127	44	the	the	DET
cana-1835	127	45	use	use	NOUN
cana-1835	127	46	of	of	ADP
cana-1835	127	47	a	a	DET
cana-1835	127	48	requires	require	NOUN
cana-1835	127	49	new	new	ADJ
cana-1835	127	50	approaches	approach	NOUN
cana-1835	127	51	again	again	ADV
cana-1835	127	52	for	for	ADP
cana-1835	127	53	corresponding	correspond	VERB
cana-1835	127	54	fundamental	fundamental	ADJ
cana-1835	127	55	characteristic	characteristic	ADJ
cana-1835	127	56	'	'	PUNCT
cana-1835	127	57	f	f	X
cana-1835	127	58	'	'	PUNCT
cana-1835	127	59	.	.	PUNCT
cana-1835	128	1	the	the	DET
cana-1835	128	2	feature	feature	NOUN
cana-1835	128	3	extraction	extraction	NOUN
cana-1835	128	4	method	method	NOUN
cana-1835	128	5	employing	employ	VERB
cana-1835	128	6	localized	localized	ADJ
cana-1835	128	7	stage	stage	NOUN
cana-1835	128	8	quantized	quantize	VERB
cana-1835	128	9	[	[	X
cana-1835	128	10	2	2	NUM
cana-1835	128	11	]	]	PUNCT
cana-1835	128	12	plus	plus	CCONJ
cana-1835	128	13	image	image	NOUN
cana-1835	128	14	distorting	distort	VERB
cana-1835	128	15	is	be	AUX
cana-1835	128	16	really	really	ADV
cana-1835	128	17	quite	quite	ADV
cana-1835	128	18	demanding	demanding	ADJ
cana-1835	128	19	because	because	SCONJ
cana-1835	128	20	it	it	PRON
cana-1835	128	21	's	be	AUX
cana-1835	128	22	extremely	extremely	ADV
cana-1835	128	23	sensitive	sensitive	ADJ
cana-1835	128	24	to	to	ADP
cana-1835	128	25	alterations	alteration	NOUN
cana-1835	128	26	in	in	ADP
cana-1835	128	27	significance	significance	NOUN
cana-1835	128	28	level	level	NOUN
cana-1835	128	29	.	.	PUNCT
cana-1835	129	1	this	this	DET
cana-1835	129	2	work	work	NOUN
cana-1835	129	3	introduces	introduce	VERB
cana-1835	129	4	a	a	DET
cana-1835	129	5	stochastic	stochastic	ADJ
cana-1835	129	6	cumulative	cumulative	ADJ
cana-1835	129	7	distribution	distribution	NOUN
cana-1835	129	8	function	function	NOUN
cana-1835	129	9	that	that	PRON
cana-1835	129	10	estimates	estimate	VERB
cana-1835	129	11	the	the	DET
cana-1835	129	12	positions	position	NOUN
cana-1835	129	13	that	that	PRON
cana-1835	129	14	are	be	AUX
cana-1835	129	15	shown	show	VERB
cana-1835	129	16	below	below	ADP
cana-1835	129	17	in	in	ADP
cana-1835	129	18	order	order	NOUN
cana-1835	129	19	to	to	PART
cana-1835	129	20	fix	fix	VERB
cana-1835	129	21	this	this	DET
cana-1835	129	22	problem	problem	NOUN
cana-1835	129	23	.	.	PUNCT
cana-1835	130	1	𝐹𝐸	𝐹𝐸	NOUN
cana-1835	131	1	=	=	SYM
cana-1835	131	2	𝑓(𝑅𝑉|	𝑓(𝑅𝑉|	PROPN
cana-1835	131	3	𝐶𝑁	𝐶𝑁	PROPN
cana-1835	131	4	,	,	PUNCT
cana-1835	131	5	𝐶𝑆	𝐶𝑆	PROPN
cana-1835	131	6	,	,	PUNCT
cana-1835	131	7	𝐶𝑠ℎ𝑎𝑝𝑒	𝐶𝑠ℎ𝑎𝑝𝑒	PROPN
cana-1835	131	8	)	)	PUNCT
cana-1835	131	9	=	=	SYM
cana-1835	131	10	𝑃𝑁	𝑃𝑁	PROPN
cana-1835	131	11	exp(−(𝑃𝑆|𝑅𝑉	exp(−(𝑃𝑆|𝑅𝑉	NUM
cana-1835	131	12	−	−	PROPN
cana-1835	131	13	𝜇|	𝜇|	PROPN
cana-1835	131	14	)	)	PUNCT
cana-1835	131	15	)	)	PUNCT
cana-1835	131	16	(	(	PUNCT
cana-1835	131	17	7	7	X
cana-1835	131	18	)	)	PUNCT
cana-1835	131	19	thus	thus	ADV
cana-1835	131	20	according	accord	VERB
cana-1835	131	21	expression	expression	NOUN
cana-1835	131	22	(	(	PUNCT
cana-1835	131	23	7	7	X
cana-1835	131	24	)	)	PUNCT
cana-1835	131	25	previously	previously	ADV
cana-1835	131	26	,	,	PUNCT
cana-1835	131	27	for	for	ADP
cana-1835	131	28	an	an	DET
cana-1835	131	29	average	average	ADJ
cana-1835	131	30	value	value	NOUN
cana-1835	131	31	of	of	ADP
cana-1835	131	32	"	"	PUNCT
cana-1835	131	33	,	,	PUNCT
cana-1835	131	34	"	"	PUNCT
cana-1835	131	35	"	"	PUNCT
cana-1835	131	36	rv	rv	X
cana-1835	131	37	"	"	PUNCT
cana-1835	131	38	represents	represent	VERB
cana-1835	131	39	again	again	ADV
cana-1835	131	40	for	for	ADP
cana-1835	131	41	stochastic	stochastic	ADJ
cana-1835	131	42	process	process	NOUN
cana-1835	131	43	,	,	PUNCT
cana-1835	131	44	"	"	PUNCT
cana-1835	131	45	c	c	NOUN
cana-1835	131	46	n	n	CCONJ
cana-1835	131	47	"	"	PUNCT
cana-1835	131	48	for	for	ADP
cana-1835	131	49	normalization	normalization	NOUN
cana-1835	131	50	criteria	criterion	NOUN
cana-1835	131	51	,	,	PUNCT
cana-1835	131	52	"	"	PUNCT
cana-1835	131	53	c	c	NOUN
cana-1835	131	54	s	s	PROPN
cana-1835	131	55	"	"	PUNCT
cana-1835	131	56	as	as	ADP
cana-1835	131	57	trying	try	VERB
cana-1835	131	58	to	to	PART
cana-1835	131	59	scale	scale	VERB
cana-1835	131	60	requirements	requirement	NOUN
cana-1835	131	61	,	,	PUNCT
cana-1835	131	62	as	as	ADV
cana-1835	131	63	well	well	ADV
cana-1835	131	64	as	as	ADP
cana-1835	131	65	"	"	PUNCT
cana-1835	131	66	c	c	NOUN
cana-1835	131	67	shape	shape	NOUN
cana-1835	131	68	"	"	PUNCT
cana-1835	131	69	for	for	ADP
cana-1835	131	70	shaping	shape	VERB
cana-1835	131	71	requirements	requirement	NOUN
cana-1835	131	72	.	.	PUNCT
cana-1835	132	1	the	the	DET
cana-1835	132	2	assessment	assessment	NOUN
cana-1835	132	3	of	of	ADP
cana-1835	132	4	the	the	DET
cana-1835	132	5	normalization	normalization	NOUN
cana-1835	132	6	and	and	CCONJ
cana-1835	132	7	scalability	scalability	NOUN
cana-1835	132	8	criteria	criterion	NOUN
cana-1835	132	9	is	be	AUX
cana-1835	132	10	presented	present	VERB
cana-1835	132	11	below	below	ADV
cana-1835	132	12	.	.	PUNCT
cana-1835	133	1	𝐶𝑁	𝐶𝑁	PROPN
cana-1835	133	2	=	=	SYM
cana-1835	133	3	𝐶𝑆,𝐶𝑠ℎ𝑎𝑝𝑒	𝐶𝑆,𝐶𝑠ℎ𝑎𝑝𝑒	PROPN
cana-1835	133	4	2(𝐶𝑠ℎ𝑎𝑝𝑒	2(𝐶𝑠ℎ𝑎𝑝𝑒	NUM
cana-1835	133	5	)	)	PUNCT
cana-1835	133	6	(	(	PUNCT
cana-1835	133	7	8)	8)	NUM
cana-1835	133	8	𝐶𝑆	𝐶𝑆	NOUN
cana-1835	133	9	=	=	SYM
cana-1835	133	10	1	1	NUM
cana-1835	133	11	𝜎	𝜎	NOUN
cana-1835	133	12	√	√	NUM
cana-1835	133	13	(	(	PUNCT
cana-1835	133	14	3	3	NUM
cana-1835	133	15	𝐶𝑠ℎ𝑎𝑝𝑒	𝐶𝑠ℎ𝑎𝑝𝑒	PROPN
cana-1835	133	16	⁄	⁄	PROPN
cana-1835	133	17	)	)	PUNCT
cana-1835	133	18	(	(	PUNCT
cana-1835	133	19	1	1	NUM
cana-1835	133	20	𝐶𝑠ℎ𝑎𝑝𝑒	𝐶𝑠ℎ𝑎𝑝𝑒	PROPN
cana-1835	133	21	⁄	⁄	PROPN
cana-1835	133	22	)	)	PUNCT
cana-1835	133	23	(	(	PUNCT
cana-1835	133	24	9	9	X
cana-1835	133	25	)	)	PUNCT
cana-1835	133	26	communications	communication	NOUN
cana-1835	133	27	on	on	ADP
cana-1835	133	28	applied	apply	VERB
cana-1835	133	29	nonlinear	nonlinear	ADJ
cana-1835	133	30	analysis	analysis	NOUN
cana-1835	133	31	issn	issn	NOUN
cana-1835	133	32	:	:	PUNCT
cana-1835	133	33	1074	1074	NUM
cana-1835	133	34	-	-	PUNCT
cana-1835	133	35	133x	133x	NUM
cana-1835	133	36	vol	vol	NOUN
cana-1835	133	37	32	32	NUM
cana-1835	133	38	no	no	NOUN
cana-1835	133	39	.	.	NOUN
cana-1835	133	40	2	2	NUM
cana-1835	133	41	(	(	PUNCT
cana-1835	133	42	2025	2025	NUM
cana-1835	133	43	)	)	PUNCT
cana-1835	133	44	601	601	NUM
cana-1835	133	45	https://internationalpubls.com	https://internationalpubls.com	X
cana-1835	133	46	depending	depend	VERB
cana-1835	133	47	just	just	ADV
cana-1835	133	48	on	on	ADP
cana-1835	133	49	scalability	scalability	NOUN
cana-1835	133	50	criterions	criterion	NOUN
cana-1835	133	51	"	"	PUNCT
cana-1835	133	52	c	c	NOUN
cana-1835	133	53	s	s	PROPN
cana-1835	133	54	"	"	PUNCT
cana-1835	133	55	and	and	CCONJ
cana-1835	133	56	shaped	shape	VERB
cana-1835	133	57	evaluation	evaluation	NOUN
cana-1835	133	58	metrics	metric	NOUN
cana-1835	133	59	"	"	PUNCT
cana-1835	133	60	c	c	NOUN
cana-1835	133	61	shape	shape	NOUN
cana-1835	133	62	,	,	PUNCT
cana-1835	133	63	"	"	PUNCT
cana-1835	133	64	accordingly	accordingly	ADV
cana-1835	133	65	,	,	PUNCT
cana-1835	133	66	the	the	DET
cana-1835	133	67	normalization	normalization	NOUN
cana-1835	133	68	criterions	criterion	VERB
cana-1835	133	69	"	"	PUNCT
cana-1835	133	70	c	c	NOUN
cana-1835	133	71	n	n	CCONJ
cana-1835	133	72	"	"	PUNCT
cana-1835	133	73	and	and	CCONJ
cana-1835	133	74	scalability	scalability	NOUN
cana-1835	133	75	criterions	criterion	NOUN
cana-1835	133	76	"	"	PUNCT
cana-1835	133	77	c	c	NOUN
cana-1835	133	78	s	s	PART
cana-1835	133	79	"	"	PUNCT
cana-1835	133	80	are	be	AUX
cana-1835	133	81	obtained	obtain	VERB
cana-1835	133	82	from	from	ADP
cana-1835	133	83	the	the	DET
cana-1835	133	84	preceding	precede	VERB
cana-1835	133	85	solutions	solution	NOUN
cana-1835	133	86	(	(	PUNCT
cana-1835	133	87	8)	8)	NUM
cana-1835	133	88	and	and	CCONJ
cana-1835	133	89	(	(	PUNCT
cana-1835	133	90	9	9	NUM
cana-1835	133	91	)	)	PUNCT
cana-1835	133	92	.	.	PUNCT
cana-1835	134	1	to	to	ADP
cana-1835	134	2	every	every	DET
cana-1835	134	3	cubes	cube	NOUN
cana-1835	134	4	of	of	ADP
cana-1835	134	5	a	a	DET
cana-1835	134	6	discrete	discrete	ADJ
cana-1835	134	7	cosine	cosine	NOUN
cana-1835	134	8	parts	part	NOUN
cana-1835	134	9	that	that	PRON
cana-1835	134	10	have	have	VERB
cana-1835	134	11	the	the	DET
cana-1835	134	12	most	most	ADV
cana-1835	134	13	significant	significant	ADJ
cana-1835	134	14	characteristics	characteristic	NOUN
cana-1835	134	15	or	or	CCONJ
cana-1835	134	16	even	even	ADV
cana-1835	134	17	the	the	DET
cana-1835	134	18	corresponding	corresponding	ADJ
cana-1835	134	19	oct	oct	NOUN
cana-1835	134	20	images	image	NOUN
cana-1835	134	21	of	of	ADP
cana-1835	134	22	the	the	DET
cana-1835	134	23	retina	retina	NOUN
cana-1835	134	24	of	of	ADP
cana-1835	134	25	the	the	DET
cana-1835	134	26	eye	eye	NOUN
cana-1835	134	27	,	,	PUNCT
cana-1835	134	28	the	the	DET
cana-1835	134	29	stochastic	stochastic	ADJ
cana-1835	134	30	distribution	distribution	NOUN
cana-1835	134	31	function	function	NOUN
cana-1835	134	32	is	be	AUX
cana-1835	134	33	used	use	VERB
cana-1835	134	34	.	.	PUNCT
cana-1835	135	1	the	the	DET
cana-1835	135	2	accompanying	accompanying	NOUN
cana-1835	135	3	is	be	AUX
cana-1835	135	4	the	the	DET
cana-1835	135	5	notional	notional	ADJ
cana-1835	135	6	coding	coding	NOUN
cana-1835	135	7	for	for	ADP
cana-1835	135	8	pure	pure	ADJ
cana-1835	135	9	sine	sine	ADJ
cana-1835	135	10	wave	wave	NOUN
cana-1835	135	11	discrete	discrete	ADJ
cana-1835	135	12	single	single	ADJ
cana-1835	135	13	input	input	NOUN
cana-1835	135	14	single	single	ADJ
cana-1835	135	15	stochastic	stochastic	ADJ
cana-1835	135	16	extraction	extraction	NOUN
cana-1835	135	17	of	of	ADP
cana-1835	135	18	features	feature	NOUN
cana-1835	135	19	.	.	PUNCT
cana-1835	136	1	input	input	NOUN
cana-1835	136	2	:	:	PUNCT
cana-1835	136	3	size	size	NOUN
cana-1835	136	4	‘	'	PUNCT
cana-1835	136	5	𝐴	𝐴	PROPN
cana-1835	136	6	∗	∗	NOUN
cana-1835	136	7	𝐵	𝐵	NOUN
cana-1835	136	8	’	'	PUNCT
cana-1835	136	9	,	,	PUNCT
cana-1835	136	10	pixel	pixel	PROPN
cana-1835	136	11	‘	'	PUNCT
cana-1835	136	12	𝑝	𝑝	PROPN
cana-1835	136	13	,	,	PUNCT
cana-1835	136	14	𝑞	𝑞	X
cana-1835	136	15	’	'	PUNCT
cana-1835	136	16	,	,	PUNCT
cana-1835	136	17	output	output	NOUN
cana-1835	136	18	:	:	PUNCT
cana-1835	136	19	salient	salient	NOUN
cana-1835	136	20	feature	feature	NOUN
cana-1835	136	21	extraction	extraction	NOUN
cana-1835	136	22	‘	'	PUNCT
cana-1835	136	23	𝑆	𝑆	PROPN
cana-1835	136	24	=	=	SYM
cana-1835	136	25	𝑠1	𝑠1	PROPN
cana-1835	136	26	,	,	PUNCT
cana-1835	136	27	𝑠2	𝑠2	NOUN
cana-1835	136	28	,	,	PUNCT
cana-1835	136	29	…	…	PUNCT
cana-1835	136	30	,	,	PUNCT
cana-1835	136	31	𝑠𝑛	𝑠𝑛	NOUN
cana-1835	136	32	’	'	PUNCT
cana-1835	136	33	step	step	NOUN
cana-1835	136	34	1	1	NUM
cana-1835	136	35	:	:	PUNCT
cana-1835	136	36	initialize	initialize	VERB
cana-1835	136	37	foremost	foremost	ADJ
cana-1835	136	38	feature	feature	NOUN
cana-1835	136	39	‘	'	PUNCT
cana-1835	136	40	𝐹	𝐹	PROPN
cana-1835	136	41	=	=	SYM
cana-1835	136	42	𝑓1	𝑓1	ADJ
cana-1835	136	43	,	,	PUNCT
cana-1835	136	44	𝑓2	𝑓2	NOUN
cana-1835	136	45	,	,	PUNCT
cana-1835	136	46	…	…	PUNCT
cana-1835	136	47	,	,	PUNCT
cana-1835	136	48	𝑓𝑛	𝑓𝑛	NOUN
cana-1835	136	49	’	'	PUNCT
cana-1835	136	50	,	,	PUNCT
cana-1835	136	51	step	step	NOUN
cana-1835	136	52	2	2	NUM
cana-1835	136	53	:	:	PUNCT
cana-1835	136	54	begin	begin	VERB
cana-1835	136	55	step	step	NOUN
cana-1835	136	56	3	3	NUM
cana-1835	136	57	:	:	PUNCT
cana-1835	136	58	for	for	ADP
cana-1835	136	59	each	each	DET
cana-1835	136	60	foremost	foremost	ADJ
cana-1835	136	61	feature	feature	NOUN
cana-1835	136	62	‘	'	PUNCT
cana-1835	136	63	𝐹	𝐹	NOUN
cana-1835	136	64	’	'	PUNCT
cana-1835	136	65	step	step	NOUN
cana-1835	136	66	4	4	NUM
cana-1835	136	67	:	:	PUNCT
cana-1835	136	68	perform	perform	VERB
cana-1835	136	69	discrete	discrete	ADJ
cana-1835	136	70	cosine	cosine	NOUN
cana-1835	136	71	transform	transform	NOUN
cana-1835	136	72	using	use	VERB
cana-1835	136	73	(	(	PUNCT
cana-1835	136	74	6	6	NUM
cana-1835	136	75	)	)	PUNCT
cana-1835	136	76	step	step	NOUN
cana-1835	136	77	5	5	NUM
cana-1835	136	78	:	:	PUNCT
cana-1835	136	79	evaluate	evaluate	VERB
cana-1835	136	80	positional	positional	ADJ
cana-1835	136	81	estimates	estimate	NOUN
cana-1835	136	82	via	via	ADP
cana-1835	136	83	gaussian	gaussian	ADJ
cana-1835	136	84	density	density	NOUN
cana-1835	136	85	function	function	NOUN
cana-1835	136	86	using	use	VERB
cana-1835	136	87	(	(	PUNCT
cana-1835	136	88	7	7	NUM
cana-1835	136	89	)	)	PUNCT
cana-1835	136	90	step	step	NOUN
cana-1835	136	91	6	6	NUM
cana-1835	136	92	:	:	PUNCT
cana-1835	136	93	return	return	VERB
cana-1835	136	94	salient	salient	ADJ
cana-1835	136	95	feature	feature	NOUN
cana-1835	136	96	extracted	extract	VERB
cana-1835	136	97	‘	'	PUNCT
cana-1835	136	98	𝑆	𝑆	PROPN
cana-1835	136	99	’	'	PUNCT
cana-1835	136	100	step	step	NOUN
cana-1835	136	101	7	7	NUM
cana-1835	136	102	:	:	PUNCT
cana-1835	136	103	end	end	VERB
cana-1835	136	104	for	for	ADP
cana-1835	136	105	step	step	NOUN
cana-1835	136	106	8	8	NUM
cana-1835	136	107	:	:	PUNCT
cana-1835	136	108	end	end	NOUN
cana-1835	136	109	algorithm	algorithm	NOUN
cana-1835	136	110	2	2	NUM
cana-1835	136	111	stochastic	stochastic	NOUN
cana-1835	136	112	extracting	extract	VERB
cana-1835	136	113	features	feature	NOUN
cana-1835	136	114	model	model	NOUN
cana-1835	136	115	based	base	VERB
cana-1835	136	116	around	around	ADP
cana-1835	136	117	pure	pure	ADJ
cana-1835	136	118	sine	sine	ADJ
cana-1835	136	119	wave	wave	NOUN
cana-1835	136	120	discrete	discrete	VERB
cana-1835	136	121	cosines	cosine	NOUN
cana-1835	136	122	as	as	SCONJ
cana-1835	136	123	mentioned	mention	VERB
cana-1835	136	124	in	in	ADP
cana-1835	136	125	the	the	DET
cana-1835	136	126	abovementioned	abovementioned	ADJ
cana-1835	136	127	pure	pure	ADJ
cana-1835	136	128	sine	sine	ADJ
cana-1835	136	129	wave	wave	NOUN
cana-1835	136	130	compact	compact	ADJ
cana-1835	136	131	cosine	cosine	NOUN
cana-1835	136	132	-	-	PUNCT
cana-1835	136	133	based	base	VERB
cana-1835	136	134	probability	probability	NOUN
cana-1835	136	135	distribution	distribution	NOUN
cana-1835	136	136	feature	feature	NOUN
cana-1835	136	137	extraction	extraction	NOUN
cana-1835	136	138	approach	approach	NOUN
cana-1835	136	139	,	,	PUNCT
cana-1835	136	140	the	the	DET
cana-1835	136	141	objective	objective	NOUN
cana-1835	136	142	is	be	AUX
cana-1835	136	143	to	to	PART
cana-1835	136	144	obtain	obtain	VERB
cana-1835	136	145	the	the	DET
cana-1835	136	146	key	key	ADJ
cana-1835	136	147	characteristics	characteristic	NOUN
cana-1835	136	148	required	require	VERB
cana-1835	136	149	for	for	ADP
cana-1835	136	150	disease	disease	NOUN
cana-1835	136	151	diagnosis	diagnosis	NOUN
cana-1835	136	152	with	with	ADP
cana-1835	136	153	greatest	great	ADJ
cana-1835	136	154	sensitivity	sensitivity	NOUN
cana-1835	136	155	possible	possible	ADJ
cana-1835	136	156	for	for	SCONJ
cana-1835	136	157	every	every	DET
cana-1835	136	158	top	top	ADJ
cana-1835	136	159	extract	extract	NOUN
cana-1835	136	160	features	feature	NOUN
cana-1835	136	161	using	use	VERB
cana-1835	136	162	wedge	wedge	NOUN
cana-1835	136	163	shaped	shape	VERB
cana-1835	136	164	binary	binary	ADJ
cana-1835	136	165	pattern	pattern	NOUN
cana-1835	136	166	(	(	PUNCT
cana-1835	136	167	lbp	lbp	PROPN
cana-1835	136	168	preprocessor	preprocessor	NOUN
cana-1835	136	169	as	as	ADP
cana-1835	136	170	insight	insight	NOUN
cana-1835	136	171	.	.	PUNCT
cana-1835	137	1	through	through	ADP
cana-1835	137	2	the	the	DET
cana-1835	137	3	use	use	NOUN
cana-1835	137	4	of	of	ADP
cana-1835	137	5	a	a	DET
cana-1835	137	6	harmonic	harmonic	ADJ
cana-1835	137	7	discontinuous	discontinuous	ADJ
cana-1835	137	8	cosine	cosine	NOUN
cana-1835	137	9	and	and	CCONJ
cana-1835	137	10	a	a	DET
cana-1835	137	11	stochastic	stochastic	ADJ
cana-1835	137	12	density	density	NOUN
cana-1835	137	13	distribution	distribution	NOUN
cana-1835	137	14	,	,	PUNCT
cana-1835	137	15	this	this	PRON
cana-1835	137	16	is	be	AUX
cana-1835	137	17	achieved	achieve	VERB
cana-1835	137	18	.	.	PUNCT
cana-1835	138	1	the	the	DET
cana-1835	138	2	sensitivities	sensitivity	NOUN
cana-1835	138	3	is	be	AUX
cana-1835	138	4	believed	believe	VERB
cana-1835	138	5	to	to	PART
cana-1835	138	6	be	be	AUX
cana-1835	138	7	enhanced	enhance	VERB
cana-1835	138	8	by	by	ADP
cana-1835	138	9	the	the	DET
cana-1835	138	10	fact	fact	NOUN
cana-1835	138	11	that	that	SCONJ
cana-1835	138	12	both	both	PRON
cana-1835	138	13	of	of	ADP
cana-1835	138	14	these	these	DET
cana-1835	138	15	function	function	NOUN
cana-1835	138	16	have	have	AUX
cana-1835	138	17	had	have	AUX
cana-1835	138	18	the	the	DET
cana-1835	138	19	benefit	benefit	NOUN
cana-1835	138	20	of	of	ADP
cana-1835	138	21	having	have	VERB
cana-1835	138	22	probabilistic	probabilistic	ADJ
cana-1835	138	23	attribute	attribute	NOUN
cana-1835	138	24	values	value	NOUN
cana-1835	138	25	that	that	PRON
cana-1835	138	26	really	really	ADV
cana-1835	138	27	can	can	AUX
cana-1835	138	28	change	change	VERB
cana-1835	138	29	in	in	ADP
cana-1835	138	30	reaction	reaction	NOUN
cana-1835	138	31	to	to	PART
cana-1835	138	32	retina	retina	VERB
cana-1835	138	33	image	image	NOUN
cana-1835	138	34	abnormalities	abnormality	NOUN
cana-1835	138	35	.	.	PUNCT
cana-1835	139	1	1.1	1.1	NUM
cana-1835	139	2	multi	multi	ADJ
cana-1835	139	3	-	-	ADJ
cana-1835	139	4	class	class	ADJ
cana-1835	139	5	hinge	hinge	NOUN
cana-1835	139	6	support	support	NOUN
cana-1835	139	7	vector	vector	NOUN
cana-1835	139	8	glaucoma	glaucoma	NOUN
cana-1835	139	9	detection	detection	NOUN
cana-1835	139	10	at	at	ADP
cana-1835	139	11	last	last	ADJ
cana-1835	139	12	,	,	PUNCT
cana-1835	139	13	to	to	PART
cana-1835	139	14	use	use	VERB
cana-1835	139	15	an	an	DET
cana-1835	139	16	inter	inter	ADJ
cana-1835	139	17	vector	vector	NOUN
cana-1835	139	18	support	support	NOUN
cana-1835	139	19	ophthalmology	ophthalmology	NOUN
cana-1835	139	20	detection	detection	NOUN
cana-1835	139	21	algorithm	algorithm	NOUN
cana-1835	139	22	,	,	PUNCT
cana-1835	139	23	premature	premature	ADJ
cana-1835	139	24	hypertension	hypertension	NOUN
cana-1835	139	25	identification	identification	NOUN
cana-1835	139	26	is	be	AUX
cana-1835	139	27	carried	carry	VERB
cana-1835	139	28	out	out	ADP
cana-1835	139	29	in	in	ADP
cana-1835	139	30	our	our	PRON
cana-1835	139	31	research	research	NOUN
cana-1835	139	32	once	once	SCONJ
cana-1835	139	33	the	the	DET
cana-1835	139	34	salient	salient	NOUN
cana-1835	139	35	characteristic	characteristic	NOUN
cana-1835	139	36	has	have	AUX
cana-1835	139	37	been	be	AUX
cana-1835	139	38	retrieved	retrieve	VERB
cana-1835	139	39	.	.	PUNCT
cana-1835	140	1	the	the	DET
cana-1835	140	2	principle	principle	ADJ
cana-1835	140	3	component	component	NOUN
cana-1835	140	4	analysis	analysis	NOUN
cana-1835	140	5	is	be	AUX
cana-1835	140	6	used	use	VERB
cana-1835	140	7	as	as	ADP
cana-1835	140	8	a	a	DET
cana-1835	140	9	classifier	classifier	NOUN
cana-1835	140	10	through	through	ADP
cana-1835	140	11	[	[	X
cana-1835	140	12	2	2	NUM
cana-1835	140	13	]	]	PUNCT
cana-1835	140	14	,	,	PUNCT
cana-1835	140	15	but	but	CCONJ
cana-1835	140	16	by	by	ADP
cana-1835	140	17	using	use	VERB
cana-1835	140	18	just	just	ADV
cana-1835	140	19	a	a	DET
cana-1835	140	20	few	few	ADJ
cana-1835	140	21	of	of	ADP
cana-1835	140	22	the	the	DET
cana-1835	140	23	principal	principal	ADJ
cana-1835	140	24	components	component	NOUN
cana-1835	140	25	while	while	SCONJ
cana-1835	140	26	ignoring	ignore	VERB
cana-1835	140	27	the	the	DET
cana-1835	140	28	rest	rest	NOUN
cana-1835	140	29	leads	lead	VERB
cana-1835	140	30	to	to	ADP
cana-1835	140	31	loss	loss	NOUN
cana-1835	140	32	.	.	PUNCT
cana-1835	141	1	as	as	ADP
cana-1835	141	2	just	just	ADV
cana-1835	141	3	a	a	DET
cana-1835	141	4	result	result	NOUN
cana-1835	141	5	,	,	PUNCT
cana-1835	141	6	an	an	DET
cana-1835	141	7	inter	inter	ADJ
cana-1835	141	8	linear	linear	ADJ
cana-1835	141	9	pivot	pivot	NOUN
cana-1835	141	10	vector	vector	NOUN
cana-1835	141	11	support	support	NOUN
cana-1835	141	12	ocular	ocular	ADJ
cana-1835	141	13	hypertension	hypertension	NOUN
cana-1835	141	14	detection	detection	NOUN
cana-1835	141	15	technique	technique	NOUN
cana-1835	141	16	is	be	AUX
cana-1835	141	17	being	be	AUX
cana-1835	141	18	used	use	VERB
cana-1835	141	19	,	,	PUNCT
cana-1835	141	20	that	that	SCONJ
cana-1835	141	21	also	also	ADV
cana-1835	141	22	through	through	ADP
cana-1835	141	23	using	use	VERB
cana-1835	141	24	different	different	ADJ
cana-1835	141	25	classes	class	NOUN
cana-1835	141	26	,	,	PUNCT
cana-1835	141	27	portrays	portray	VERB
cana-1835	141	28	a	a	DET
cana-1835	141	29	clear	clear	ADJ
cana-1835	141	30	objective	objective	ADJ
cana-1835	141	31	function	function	NOUN
cana-1835	141	32	(	(	PUNCT
cana-1835	141	33	early	early	ADJ
cana-1835	141	34	eye	eye	NOUN
cana-1835	141	35	disease	disease	NOUN
cana-1835	141	36	detectors	detector	NOUN
cana-1835	141	37	)	)	PUNCT
cana-1835	141	38	for	for	ADP
cana-1835	141	39	having	having	AUX
cana-1835	141	40	trained	train	VERB
cana-1835	141	41	only	only	ADV
cana-1835	141	42	those	those	PRON
cana-1835	141	43	'	'	PUNCT
cana-1835	141	44	n	n	CCONJ
cana-1835	141	45	'	'	CCONJ
cana-1835	141	46	bitwise	bitwise	NOUN
cana-1835	141	47	support	support	NOUN
cana-1835	141	48	vector	vector	NOUN
cana-1835	141	49	machine	machine	NOUN
cana-1835	141	50	(	(	PUNCT
cana-1835	141	51	svm	svm	PROPN
cana-1835	141	52	.	.	PROPN
cana-1835	142	1	as	as	ADP
cana-1835	142	2	a	a	DET
cana-1835	142	3	result	result	NOUN
cana-1835	142	4	,	,	PUNCT
cana-1835	142	5	there	there	PRON
cana-1835	142	6	's	be	VERB
cana-1835	142	7	going	go	VERB
cana-1835	142	8	to	to	PART
cana-1835	142	9	be	be	AUX
cana-1835	142	10	a	a	DET
cana-1835	142	11	huge	huge	ADJ
cana-1835	142	12	reduction	reduction	NOUN
cana-1835	142	13	in	in	ADP
cana-1835	142	14	the	the	DET
cana-1835	142	15	losses	loss	NOUN
cana-1835	142	16	in	in	ADP
cana-1835	142	17	disease	disease	NOUN
cana-1835	142	18	prediction	prediction	NOUN
cana-1835	142	19	.	.	PUNCT
cana-1835	143	1	let	let	VERB
cana-1835	143	2	's	us	PRON
cana-1835	143	3	take	take	VERB
cana-1835	143	4	a	a	DET
cana-1835	143	5	glance	glance	NOUN
cana-1835	143	6	just	just	ADV
cana-1835	143	7	at	at	ADP
cana-1835	143	8	collection	collection	NOUN
cana-1835	143	9	all	all	DET
cana-1835	143	10	'	'	CCONJ
cana-1835	143	11	n	n	CCONJ
cana-1835	143	12	'	'	PART
cana-1835	143	13	elements	element	NOUN
cana-1835	143	14	that	that	PRON
cana-1835	143	15	must	must	AUX
cana-1835	143	16	be	be	AUX
cana-1835	143	17	detected	detect	VERB
cana-1835	143	18	,	,	PUNCT
cana-1835	143	19	'	'	PUNCT
cana-1835	143	20	(	(	PUNCT
cana-1835	143	21	s	s	VERB
cana-1835	143	22	i	i	PROPN
cana-1835	143	23	,	,	PUNCT
cana-1835	143	24	t	t	PROPN
cana-1835	143	25	i	i	PROPN
cana-1835	143	26	)	)	PUNCT
cana-1835	143	27	,	,	PUNCT
cana-1835	143	28	whereby	whereby	SCONJ
cana-1835	143	29	typically	typically	ADV
cana-1835	143	30	begin	begin	VERB
cana-1835	143	31	,	,	PUNCT
cana-1835	143	32	2	2	NUM
cana-1835	143	33	,	,	PUNCT
cana-1835	143	34	...	...	PUNCT
cana-1835	144	1	n.	n.	NOUN
cana-1835	144	2	here	here	ADV
cana-1835	144	3	,	,	PUNCT
cana-1835	144	4	's	be	AUX
cana-1835	144	5	i	i	PRON
cana-1835	144	6	'	'	AUX
cana-1835	144	7	represents	represent	VERB
cana-1835	144	8	again	again	ADV
cana-1835	144	9	for	for	ADP
cana-1835	144	10	data	datum	NOUN
cana-1835	144	11	input	input	NOUN
cana-1835	144	12	vectors	vector	NOUN
cana-1835	144	13	while	while	SCONJ
cana-1835	144	14	'	'	PUNCT
cana-1835	144	15	t	t	NOUN
cana-1835	145	1	i	i	PRON
cana-1835	145	2	'	'	AUX
cana-1835	145	3	represents	represent	VERB
cana-1835	145	4	again	again	ADV
cana-1835	145	5	for	for	ADP
cana-1835	145	6	final	final	ADJ
cana-1835	145	7	prediction	prediction	NOUN
cana-1835	145	8	to	to	PART
cana-1835	145	9	which	which	PRON
cana-1835	145	10	's	be	AUX
cana-1835	145	11	i	i	PRON
cana-1835	145	12	'	'	PUNCT
cana-1835	145	13	belong	belong	VERB
cana-1835	145	14	.	.	PUNCT
cana-1835	146	1	let	let	VERB
cana-1835	146	2	's	us	PRON
cana-1835	146	3	account	account	VERB
cana-1835	146	4	for	for	ADP
cana-1835	146	5	the	the	DET
cana-1835	146	6	data	datum	NOUN
cana-1835	146	7	for	for	ADP
cana-1835	146	8	training	training	NOUN
cana-1835	146	9	,	,	PUNCT
cana-1835	146	10	that	that	SCONJ
cana-1835	146	11	we	we	PRON
cana-1835	146	12	'll	will	AUX
cana-1835	146	13	refer	refer	VERB
cana-1835	146	14	to	to	ADP
cana-1835	146	15	it	it	PRON
cana-1835	146	16	as	as	ADP
cana-1835	146	17	"	"	PUNCT
cana-1835	146	18	s	s	PROPN
cana-1835	146	19	i	i	NOUN
cana-1835	146	20	"	"	PUNCT
cana-1835	146	21	or	or	CCONJ
cana-1835	146	22	communications	communication	NOUN
cana-1835	146	23	on	on	ADP
cana-1835	146	24	applied	apply	VERB
cana-1835	146	25	nonlinear	nonlinear	ADJ
cana-1835	146	26	analysis	analysis	NOUN
cana-1835	146	27	issn	issn	NOUN
cana-1835	146	28	:	:	PUNCT
cana-1835	146	29	1074	1074	NUM
cana-1835	146	30	-	-	PUNCT
cana-1835	146	31	133x	133x	NUM
cana-1835	146	32	vol	vol	NOUN
cana-1835	146	33	32	32	NUM
cana-1835	146	34	no	no	NOUN
cana-1835	146	35	.	.	NOUN
cana-1835	146	36	2	2	NUM
cana-1835	146	37	(	(	PUNCT
cana-1835	146	38	2025	2025	NUM
cana-1835	146	39	)	)	PUNCT
cana-1835	146	40	602	602	NUM
cana-1835	146	41	https://internationalpubls.com	https://internationalpubls.com	X
cana-1835	147	1	"	"	PUNCT
cana-1835	147	2	s	s	PROPN
cana-1835	147	3	i	i	NOUN
cana-1835	147	4	(	(	PUNCT
cana-1835	147	5	n	n	CCONJ
cana-1835	147	6	)	)	PUNCT
cana-1835	147	7	"	"	PUNCT
cana-1835	147	8	where	where	SCONJ
cana-1835	147	9	"	"	PUNCT
cana-1835	147	10	s	s	VERB
cana-1835	147	11	i	i	PRON
cana-1835	147	12	(	(	PUNCT
cana-1835	147	13	k	k	NOUN
cana-1835	147	14	)	)	PUNCT
cana-1835	147	15	"	"	PUNCT
cana-1835	147	16	refers	refer	VERB
cana-1835	147	17	for	for	SCONJ
cana-1835	147	18	the	the	DET
cana-1835	147	19	output	output	NOUN
cana-1835	147	20	retina	retina	NOUN
cana-1835	147	21	imagenet	imagenet	NOUN
cana-1835	147	22	dataset	dataset	VERB
cana-1835	147	23	to	to	ADP
cana-1835	147	24	a	a	DET
cana-1835	147	25	"	"	PUNCT
cana-1835	147	26	closest	close	ADJ
cana-1835	147	27	k	k	NOUN
cana-1835	147	28	"	"	PUNCT
cana-1835	147	29	svm	svm	ADJ
cana-1835	147	30	module	module	NOUN
cana-1835	147	31	.	.	PUNCT
cana-1835	148	1	consequently	consequently	ADV
cana-1835	148	2	,	,	PUNCT
cana-1835	148	3	𝑘	𝑘	PROPN
cana-1835	148	4	=	=	SYM
cana-1835	148	5	(	(	PUNCT
cana-1835	148	6	𝑁𝑢𝑚𝑏𝑒𝑟	𝑁𝑢𝑚𝑏𝑒𝑟	PROPN
cana-1835	148	7	𝑜𝑓	𝑜𝑓	ADP
cana-1835	148	8	𝑠𝑡𝑎𝑔𝑒𝑠	𝑠𝑡𝑎𝑔𝑒𝑠	NOUN
cana-1835	148	9	−	−	PROPN
cana-1835	148	10	1	1	NUM
cana-1835	148	11	)	)	PUNCT
cana-1835	148	12	(	(	PUNCT
cana-1835	148	13	10	10	NUM
cana-1835	148	14	)	)	PUNCT
cana-1835	148	15	𝑠𝑖(0	𝑠𝑖(0	NOUN
cana-1835	148	16	)	)	PUNCT
cana-1835	148	17	=	=	SYM
cana-1835	148	18	𝑠𝑖	𝑠𝑖	NOUN
cana-1835	148	19	(	(	PUNCT
cana-1835	148	20	11	11	NUM
cana-1835	148	21	)	)	PUNCT
cana-1835	148	22	𝑠𝑖(1	𝑠𝑖(1	PROPN
cana-1835	148	23	)	)	PUNCT
cana-1835	149	1	=	=	SYM
cana-1835	149	2	𝑠𝑖	𝑠𝑖	PROPN
cana-1835	149	3	−	−	PROPN
cana-1835	149	4	𝑐𝑙𝑎𝑠𝑠(0	𝑐𝑙𝑎𝑠𝑠(0	PROPN
cana-1835	149	5	)	)	PUNCT
cana-1835	149	6	(	(	PUNCT
cana-1835	149	7	12	12	NUM
cana-1835	149	8	)	)	PUNCT
cana-1835	149	9	𝑠𝑖(2	𝑠𝑖(2	NOUN
cana-1835	149	10	)	)	PUNCT
cana-1835	149	11	=	=	PUNCT
cana-1835	149	12	𝑠𝑖	𝑠𝑖	NOUN
cana-1835	149	13	−	−	NOUN
cana-1835	150	1	[	[	X
cana-1835	150	2	𝑐𝑙𝑎𝑠𝑠(0	𝑐𝑙𝑎𝑠𝑠(0	PROPN
cana-1835	150	3	)	)	PUNCT
cana-1835	150	4	+	+	SYM
cana-1835	150	5	𝑐𝑙𝑎𝑠𝑠(1	𝑐𝑙𝑎𝑠𝑠(1	NOUN
cana-1835	150	6	)	)	PUNCT
cana-1835	150	7	]	]	PUNCT
cana-1835	150	8	(	(	PUNCT
cana-1835	150	9	13	13	NUM
cana-1835	150	10	)	)	PUNCT
cana-1835	150	11	the	the	DET
cana-1835	150	12	approach	approach	NOUN
cana-1835	150	13	is	be	AUX
cana-1835	150	14	carried	carry	VERB
cana-1835	150	15	out	out	ADP
cana-1835	150	16	because	because	SCONJ
cana-1835	150	17	shown	show	VERB
cana-1835	150	18	in	in	ADP
cana-1835	150	19	just	just	ADV
cana-1835	150	20	using	use	VERB
cana-1835	150	21	salient	salient	ADJ
cana-1835	150	22	feature	feature	NOUN
cana-1835	150	23	of	of	ADP
cana-1835	150	24	a	a	DET
cana-1835	150	25	retinal	retinal	ADJ
cana-1835	150	26	image	image	NOUN
cana-1835	150	27	from	from	ADP
cana-1835	150	28	the	the	DET
cana-1835	150	29	above	above	ADJ
cana-1835	150	30	input	input	NOUN
cana-1835	150	31	that	that	PRON
cana-1835	150	32	's	be	AUX
cana-1835	150	33	been	be	AUX
cana-1835	150	34	obtained	obtain	VERB
cana-1835	150	35	to	to	ADP
cana-1835	150	36	a	a	DET
cana-1835	150	37	'	'	PUNCT
cana-1835	150	38	closest	close	ADJ
cana-1835	150	39	k	k	NOUN
cana-1835	150	40	'	'	PUNCT
cana-1835	150	41	svm	svm	ADJ
cana-1835	150	42	cubes	cube	NOUN
cana-1835	150	43	.	.	PUNCT
cana-1835	151	1	𝑀𝑖𝑛	𝑀𝑖𝑛	PROPN
cana-1835	151	2	1	1	NUM
cana-1835	151	3	2	2	NUM
cana-1835	151	4	𝑊𝑘	𝑊𝑘	PROPN
cana-1835	151	5	𝑇𝑊𝑘	𝑇𝑊𝑘	NOUN
cana-1835	151	6	+	+	CCONJ
cana-1835	151	7	𝐶	𝐶	PROPN
cana-1835	151	8	∑	∑	PUNCT
cana-1835	151	9	𝐿𝑖(𝑘)𝑛	𝐿𝑖(𝑘)𝑛	PROPN
cana-1835	151	10	𝑖=1	𝑖=1	PROPN
cana-1835	151	11	(	(	PUNCT
cana-1835	151	12	14	14	NUM
cana-1835	151	13	)	)	PUNCT
cana-1835	151	14	𝑆𝑢𝑏𝑗𝑒𝑐𝑡	𝑆𝑢𝑏𝑗𝑒𝑐𝑡	PROPN
cana-1835	151	15	𝑡𝑜	𝑡𝑜	PROPN
cana-1835	151	16	𝑡𝑖(𝑊𝑘	𝑡𝑖(𝑊𝑘	PROPN
cana-1835	151	17	𝑇𝑠𝑖(𝑘	𝑇𝑠𝑖(𝑘	PROPN
cana-1835	151	18	)	)	PUNCT
cana-1835	151	19	)	)	PUNCT
cana-1835	152	1	+	+	CCONJ
cana-1835	152	2	𝑏	𝑏	PRON
cana-1835	152	3	≥	≥	NOUN
cana-1835	152	4	1	1	NUM
cana-1835	152	5	−	−	NOUN
cana-1835	152	6	𝐿𝑖	𝐿𝑖	NOUN
cana-1835	152	7	(	(	PUNCT
cana-1835	152	8	15	15	NUM
cana-1835	152	9	)	)	PUNCT
cana-1835	152	10	the	the	DET
cana-1835	152	11	modest	modest	ADJ
cana-1835	152	12	weight	weight	NOUN
cana-1835	152	13	transpose	transpose	NOUN
cana-1835	152	14	scalar	scalar	ADJ
cana-1835	152	15	and	and	CCONJ
cana-1835	152	16	support	support	NOUN
cana-1835	152	17	vectors	vector	NOUN
cana-1835	152	18	for	for	ADP
cana-1835	152	19	optimizing	optimize	VERB
cana-1835	152	20	with	with	ADP
cana-1835	152	21	such	such	DET
cana-1835	152	22	a	a	DET
cana-1835	152	23	continuous	continuous	ADJ
cana-1835	152	24	'	'	PUNCT
cana-1835	152	25	c	c	NOUN
cana-1835	152	26	'	'	PUNCT
cana-1835	152	27	and	and	CCONJ
cana-1835	152	28	hinged	hinge	VERB
cana-1835	152	29	degradation	degradation	NOUN
cana-1835	152	30	function	function	NOUN
cana-1835	152	31	'	'	PART
cana-1835	152	32	l	l	NOUN
cana-1835	153	1	i	i	PRON
cana-1835	153	2	'	'	PUNCT
cana-1835	153	3	again	again	ADV
cana-1835	153	4	for	for	ADP
cana-1835	153	5	appropriate	appropriate	ADJ
cana-1835	153	6	'	'	PUNCT
cana-1835	153	7	substring	substring	NOUN
cana-1835	153	8	'	'	PUNCT
cana-1835	153	9	svm	svm	PROPN
cana-1835	153	10	cube	cube	NOUN
cana-1835	153	11	were	be	AUX
cana-1835	153	12	given	give	VERB
cana-1835	153	13	by	by	ADP
cana-1835	153	14	'	'	PUNCT
cana-1835	153	15	w	w	PROPN
cana-1835	153	16	kt	kt	PROPN
cana-1835	153	17	'	'	PUNCT
cana-1835	153	18	and	and	CCONJ
cana-1835	153	19	'	'	PUNCT
cana-1835	153	20	w	w	NOUN
cana-1835	153	21	k	k	NOUN
cana-1835	153	22	'	'	PUNCT
cana-1835	153	23	in	in	ADP
cana-1835	153	24	the	the	DET
cana-1835	153	25	calculations	calculation	NOUN
cana-1835	153	26	(	(	PUNCT
cana-1835	153	27	14	14	NUM
cana-1835	153	28	)	)	PUNCT
cana-1835	153	29	and	and	CCONJ
cana-1835	153	30	(	(	PUNCT
cana-1835	153	31	15	15	NUM
cana-1835	153	32	)	)	PUNCT
cana-1835	153	33	respectively	respectively	ADV
cana-1835	153	34	.	.	PUNCT
cana-1835	154	1	finally	finally	ADV
cana-1835	154	2	,	,	PUNCT
cana-1835	154	3	this	this	PRON
cana-1835	154	4	hinged	hinge	VERB
cana-1835	154	5	algorithm	algorithm	NOUN
cana-1835	154	6	is	be	AUX
cana-1835	154	7	mathematically	mathematically	ADV
cana-1835	154	8	stated	state	VERB
cana-1835	154	9	as	as	ADP
cana-1835	154	10	follows	follow	VERB
cana-1835	154	11	,	,	PUNCT
cana-1835	154	12	wherein	wherein	SCONJ
cana-1835	154	13	t	t	PROPN
cana-1835	154	14	is	be	AUX
cana-1835	154	15	the	the	DET
cana-1835	154	16	ophthalmology	ophthalmology	NOUN
cana-1835	154	17	detection	detection	NOUN
cana-1835	154	18	scores	score	NOUN
cana-1835	154	19	and	and	CCONJ
cana-1835	154	20	t	t	NOUN
cana-1835	154	21	seems	seem	VERB
cana-1835	154	22	to	to	PART
cana-1835	154	23	be	be	AUX
cana-1835	154	24	the	the	DET
cana-1835	154	25	intended	intend	VERB
cana-1835	154	26	result	result	NOUN
cana-1835	154	27	.	.	PUNCT
cana-1835	155	1	the	the	DET
cana-1835	155	2	hinged	hinge	VERB
cana-1835	155	3	loss	loss	NOUN
cana-1835	155	4	of	of	ADP
cana-1835	155	5	something	something	PRON
cana-1835	155	6	like	like	ADP
cana-1835	155	7	the	the	DET
cana-1835	155	8	glaucoma	glaucoma	NOUN
cana-1835	155	9	detection	detection	NOUN
cana-1835	155	10	is	be	AUX
cana-1835	155	11	stated	state	VERB
cana-1835	155	12	as	as	SCONJ
cana-1835	155	13	follows	follow	VERB
cana-1835	155	14	.	.	PUNCT
cana-1835	156	1	𝐿(𝑦	𝐿(𝑦	X
cana-1835	156	2	)	)	PUNCT
cana-1835	156	3	=	=	SYM
cana-1835	157	1	max(0,1	max(0,1	NUM
cana-1835	157	2	−	−	PROPN
cana-1835	157	3	𝑡.	𝑡.	NOUN
cana-1835	157	4	𝑦	𝑦	NUM
cana-1835	157	5	)	)	PUNCT
cana-1835	157	6	(	(	PUNCT
cana-1835	157	7	16	16	NUM
cana-1835	157	8	)	)	PUNCT
cana-1835	157	9	thereby	thereby	ADV
cana-1835	158	1	,	,	PUNCT
cana-1835	158	2	"	"	PUNCT
cana-1835	158	3	y	y	PROPN
cana-1835	158	4	=	=	PROPN
cana-1835	158	5	w(s	w(s	PROPN
cana-1835	158	6	i)+b,(w	i)+b,(w	PROPN
cana-1835	158	7	,	,	PUNCT
cana-1835	158	8	b	b	NOUN
cana-1835	158	9	)	)	PUNCT
cana-1835	158	10	"	"	PUNCT
cana-1835	158	11	denotes	denote	VERB
cana-1835	158	12	the	the	DET
cana-1835	158	13	hyper	hyper	ADJ
cana-1835	158	14	plane	plane	NOUN
cana-1835	158	15	characteristics	characteristic	NOUN
cana-1835	158	16	with	with	ADP
cana-1835	158	17	"	"	PUNCT
cana-1835	158	18	s	s	PROPN
cana-1835	158	19	i	i	NOUN
cana-1835	158	20	"	"	PUNCT
cana-1835	158	21	denoting	denote	VERB
cana-1835	158	22	the	the	DET
cana-1835	158	23	incoming	incoming	ADJ
cana-1835	158	24	retina	retina	NOUN
cana-1835	158	25	image	image	NOUN
cana-1835	158	26	for	for	ADP
cana-1835	158	27	disease	disease	NOUN
cana-1835	158	28	detection	detection	NOUN
cana-1835	158	29	from	from	ADP
cana-1835	158	30	formula	formula	NOUN
cana-1835	158	31	(	(	PUNCT
cana-1835	158	32	16	16	NUM
cana-1835	158	33	)	)	PUNCT
cana-1835	158	34	above	above	ADV
cana-1835	158	35	.	.	PUNCT
cana-1835	159	1	this	this	DET
cana-1835	159	2	preceding	precede	VERB
cana-1835	159	3	is	be	AUX
cana-1835	159	4	the	the	DET
cana-1835	159	5	pseudo	pseudo	NOUN
cana-1835	159	6	coding	code	VERB
cana-1835	159	7	for	for	ADP
cana-1835	159	8	inter	inter	PROPN
cana-1835	159	9	nonlinear	nonlinear	NOUN
cana-1835	159	10	hinged	hinge	VERB
cana-1835	159	11	vector	vector	NOUN
cana-1835	159	12	support	support	NOUN
cana-1835	159	13	disease	disease	NOUN
cana-1835	159	14	diagnosis	diagnosis	NOUN
cana-1835	159	15	.	.	PUNCT
cana-1835	160	1	input	input	NOUN
cana-1835	160	2	:	:	PUNCT
cana-1835	160	3	salient	salient	ADJ
cana-1835	160	4	feature	feature	NOUN
cana-1835	160	5	extraction	extraction	NOUN
cana-1835	160	6	‘	'	PUNCT
cana-1835	160	7	𝑆	𝑆	PROPN
cana-1835	160	8	’	'	PUNCT
cana-1835	160	9	output	output	NOUN
cana-1835	160	10	:	:	PUNCT
cana-1835	160	11	accurate	accurate	ADJ
cana-1835	160	12	and	and	CCONJ
cana-1835	160	13	early	early	ADJ
cana-1835	160	14	glaucoma	glaucoma	NOUN
cana-1835	160	15	detection	detection	NOUN
cana-1835	160	16	step	step	NOUN
cana-1835	160	17	1	1	NUM
cana-1835	160	18	:	:	PUNCT
cana-1835	160	19	initialize	initialize	VERB
cana-1835	160	20	‘	'	PUNCT
cana-1835	160	21	𝑘	𝑘	DET
cana-1835	160	22	’	'	PUNCT
cana-1835	160	23	step	step	NOUN
cana-1835	160	24	2	2	NUM
cana-1835	160	25	:	:	PUNCT
cana-1835	160	26	begin	begin	VERB
cana-1835	160	27	step	step	NOUN
cana-1835	160	28	3	3	NUM
cana-1835	160	29	:	:	PUNCT
cana-1835	160	30	for	for	ADP
cana-1835	160	31	each	each	DET
cana-1835	160	32	salient	salient	ADJ
cana-1835	160	33	feature	feature	NOUN
cana-1835	160	34	extraction	extraction	NOUN
cana-1835	160	35	‘	'	PUNCT
cana-1835	160	36	𝑆	𝑆	NOUN
cana-1835	160	37	’	'	PUNCT
cana-1835	160	38	step	step	NOUN
cana-1835	160	39	4	4	NUM
cana-1835	160	40	:	:	PUNCT
cana-1835	160	41	equate	equate	VERB
cana-1835	160	42	input	input	NOUN
cana-1835	160	43	retinal	retinal	ADJ
cana-1835	160	44	image	image	NOUN
cana-1835	160	45	dataset	dataset	VERB
cana-1835	160	46	to	to	ADP
cana-1835	160	47	the	the	DET
cana-1835	160	48	‘	'	PUNCT
cana-1835	160	49	𝑘𝑡ℎ	𝑘𝑡ℎ	NOUN
cana-1835	160	50	’	'	PUNCT
cana-1835	160	51	svm	svm	ADJ
cana-1835	160	52	cube	cube	NOUN
cana-1835	160	53	using	use	VERB
cana-1835	160	54	(	(	PUNCT
cana-1835	160	55	11	11	NUM
cana-1835	160	56	)	)	PUNCT
cana-1835	160	57	,	,	PUNCT
cana-1835	160	58	(	(	PUNCT
cana-1835	160	59	12	12	NUM
cana-1835	160	60	)	)	PUNCT
cana-1835	160	61	and	and	CCONJ
cana-1835	160	62	(	(	PUNCT
cana-1835	160	63	13	13	NUM
cana-1835	160	64	)	)	PUNCT
cana-1835	160	65	step	step	NOUN
cana-1835	160	66	5	5	NUM
cana-1835	160	67	:	:	PUNCT
cana-1835	160	68	perform	perform	VERB
cana-1835	160	69	optimal	optimal	ADJ
cana-1835	160	70	glaucoma	glaucoma	NOUN
cana-1835	160	71	detection	detection	NOUN
cana-1835	160	72	using	use	VERB
cana-1835	160	73	(	(	PUNCT
cana-1835	160	74	14	14	NUM
cana-1835	160	75	)	)	PUNCT
cana-1835	160	76	and	and	CCONJ
cana-1835	160	77	(	(	PUNCT
cana-1835	160	78	15	15	X
cana-1835	160	79	)	)	PUNCT
cana-1835	160	80	step	step	NOUN
cana-1835	160	81	6	6	NUM
cana-1835	160	82	:	:	PUNCT
cana-1835	160	83	evaluate	evaluate	VERB
cana-1835	160	84	hinge	hinge	NOUN
cana-1835	160	85	loss	loss	NOUN
cana-1835	160	86	function	function	NOUN
cana-1835	160	87	using	use	VERB
cana-1835	160	88	(	(	PUNCT
cana-1835	160	89	16	16	NUM
cana-1835	160	90	)	)	PUNCT
cana-1835	160	91	step	step	NOUN
cana-1835	160	92	7	7	NUM
cana-1835	160	93	:	:	PUNCT
cana-1835	160	94	if	if	SCONJ
cana-1835	160	95	‘	'	PUNCT
cana-1835	160	96	𝑊0(𝑘	𝑊0(𝑘	ADJ
cana-1835	160	97	=	=	SYM
cana-1835	160	98	0	0	NUM
cana-1835	160	99	)	)	PUNCT
cana-1835	160	100	’	'	PUNCT
cana-1835	160	101	then	then	ADV
cana-1835	160	102	weight	weight	NOUN
cana-1835	160	103	vector	vector	NOUN
cana-1835	160	104	for	for	ADP
cana-1835	160	105	first	first	ADJ
cana-1835	160	106	stage	stage	NOUN
cana-1835	160	107	detected	detect	VERB
cana-1835	160	108	with	with	ADP
cana-1835	160	109	normal	normal	ADJ
cana-1835	160	110	step	step	NOUN
cana-1835	160	111	8	8	NUM
cana-1835	160	112	:	:	PUNCT
cana-1835	160	113	end	end	VERB
cana-1835	160	114	if	if	SCONJ
cana-1835	160	115	step	step	NOUN
cana-1835	160	116	9	9	NUM
cana-1835	160	117	:	:	PUNCT
cana-1835	160	118	if	if	SCONJ
cana-1835	160	119	‘	'	PUNCT
cana-1835	160	120	𝑊0(𝑘	𝑊0(𝑘	ADJ
cana-1835	160	121	=	=	SYM
cana-1835	160	122	1	1	NUM
cana-1835	160	123	)	)	PUNCT
cana-1835	160	124	’	'	PUNCT
cana-1835	160	125	then	then	ADV
cana-1835	160	126	weight	weight	NOUN
cana-1835	160	127	vector	vector	NOUN
cana-1835	160	128	for	for	ADP
cana-1835	160	129	second	second	ADJ
cana-1835	160	130	stage	stage	NOUN
cana-1835	160	131	detected	detect	VERB
cana-1835	160	132	with	with	ADP
cana-1835	160	133	glaucoma	glaucoma	NOUN
cana-1835	160	134	step	step	NOUN
cana-1835	160	135	10	10	NUM
cana-1835	160	136	:	:	PUNCT
cana-1835	160	137	if	if	SCONJ
cana-1835	160	138	‘	'	PUNCT
cana-1835	160	139	𝑊1(𝑘	𝑊1(𝑘	NOUN
cana-1835	160	140	=	=	SYM
cana-1835	160	141	1	1	NUM
cana-1835	160	142	)	)	PUNCT
cana-1835	160	143	’	'	PUNCT
cana-1835	160	144	then	then	ADV
cana-1835	160	145	weight	weight	NOUN
cana-1835	160	146	vector	vector	NOUN
cana-1835	160	147	for	for	ADP
cana-1835	160	148	first	first	ADJ
cana-1835	160	149	stage	stage	NOUN
cana-1835	160	150	detected	detect	VERB
cana-1835	160	151	with	with	ADP
cana-1835	160	152	cnv	cnv	PROPN
cana-1835	160	153	step	step	NOUN
cana-1835	160	154	11	11	NUM
cana-1835	160	155	:	:	PUNCT
cana-1835	160	156	if	if	SCONJ
cana-1835	160	157	‘	'	PUNCT
cana-1835	160	158	𝑊1(𝑘	𝑊1(𝑘	NOUN
cana-1835	160	159	=	=	SYM
cana-1835	160	160	2	2	NUM
cana-1835	160	161	)	)	PUNCT
cana-1835	160	162	’	'	PUNCT
cana-1835	160	163	then	then	ADV
cana-1835	160	164	weight	weight	NOUN
cana-1835	160	165	vector	vector	NOUN
cana-1835	160	166	for	for	ADP
cana-1835	160	167	second	second	ADJ
cana-1835	160	168	stage	stage	NOUN
cana-1835	160	169	detected	detect	VERB
cana-1835	160	170	with	with	ADP
cana-1835	160	171	dme	dme	PROPN
cana-1835	160	172	communications	communication	NOUN
cana-1835	160	173	on	on	ADP
cana-1835	160	174	applied	apply	VERB
cana-1835	160	175	nonlinear	nonlinear	ADJ
cana-1835	160	176	analysis	analysis	NOUN
cana-1835	160	177	issn	issn	NOUN
cana-1835	160	178	:	:	PUNCT
cana-1835	160	179	1074	1074	NUM
cana-1835	160	180	-	-	PUNCT
cana-1835	160	181	133x	133x	NUM
cana-1835	160	182	vol	vol	NOUN
cana-1835	160	183	32	32	NUM
cana-1835	160	184	no	no	NOUN
cana-1835	160	185	.	.	NOUN
cana-1835	160	186	2	2	NUM
cana-1835	160	187	(	(	PUNCT
cana-1835	160	188	2025	2025	NUM
cana-1835	160	189	)	)	PUNCT
cana-1835	160	190	603	603	NUM
cana-1835	161	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-1835	162	1	step	step	NOUN
cana-1835	162	2	12	12	NUM
cana-1835	162	3	:	:	PUNCT
cana-1835	162	4	if	if	SCONJ
cana-1835	162	5	‘	'	PUNCT
cana-1835	162	6	𝑊1(𝑘	𝑊1(𝑘	NOUN
cana-1835	162	7	=	=	SYM
cana-1835	162	8	3	3	NUM
cana-1835	162	9	)	)	PUNCT
cana-1835	162	10	’	'	PUNCT
cana-1835	162	11	then	then	ADV
cana-1835	162	12	weight	weight	NOUN
cana-1835	162	13	vector	vector	NOUN
cana-1835	162	14	for	for	ADP
cana-1835	162	15	third	third	ADJ
cana-1835	162	16	stage	stage	NOUN
cana-1835	162	17	detected	detect	VERB
cana-1835	162	18	with	with	ADP
cana-1835	162	19	drusen	drusen	NOUN
cana-1835	162	20	step	step	NOUN
cana-1835	162	21	13	13	NUM
cana-1835	162	22	:	:	PUNCT
cana-1835	162	23	return	return	VERB
cana-1835	162	24	step	step	NOUN
cana-1835	162	25	14	14	NUM
cana-1835	162	26	:	:	PUNCT
cana-1835	162	27	end	end	VERB
cana-1835	162	28	for	for	ADP
cana-1835	162	29	step	step	NOUN
cana-1835	162	30	15	15	NUM
cana-1835	162	31	:	:	PUNCT
cana-1835	162	32	end	end	NOUN
cana-1835	162	33	algorithm	algorithm	NOUN
cana-1835	162	34	3	3	NUM
cana-1835	162	35	ophthalmology	ophthalmology	NOUN
cana-1835	162	36	identification	identification	NOUN
cana-1835	162	37	employing	employ	VERB
cana-1835	162	38	inter	inter	ADJ
cana-1835	162	39	linear	linear	NOUN
cana-1835	162	40	hinged	hinge	VERB
cana-1835	162	41	using	use	VERB
cana-1835	162	42	support	support	NOUN
cana-1835	162	43	vector	vector	NOUN
cana-1835	162	44	machines	machine	NOUN
cana-1835	162	45	2	2	NUM
cana-1835	162	46	.	.	PUNCT
cana-1835	163	1	the	the	DET
cana-1835	163	2	purpose	purpose	NOUN
cana-1835	163	3	remains	remain	VERB
cana-1835	163	4	in	in	ADP
cana-1835	163	5	premature	premature	ADJ
cana-1835	163	6	ophthalmology	ophthalmology	NOUN
cana-1835	163	7	diagnosis	diagnosis	NOUN
cana-1835	163	8	with	with	ADP
cana-1835	163	9	minimal	minimal	ADJ
cana-1835	163	10	error	error	NOUN
cana-1835	163	11	,	,	PUNCT
cana-1835	163	12	as	as	SCONJ
cana-1835	163	13	mentioned	mention	VERB
cana-1835	163	14	in	in	ADP
cana-1835	163	15	the	the	DET
cana-1835	163	16	inter	inter	ADJ
cana-1835	163	17	linear	linear	NOUN
cana-1835	163	18	hinged	hinge	VERB
cana-1835	163	19	gradient	gradient	ADJ
cana-1835	163	20	boosting	boost	VERB
cana-1835	163	21	disease	disease	NOUN
cana-1835	163	22	diagnosis	diagnosis	NOUN
cana-1835	163	23	section	section	NOUN
cana-1835	163	24	.	.	PUNCT
cana-1835	164	1	this	this	DET
cana-1835	164	2	one	one	NOUN
cana-1835	164	3	is	be	AUX
cana-1835	164	4	accomplished	accomplish	VERB
cana-1835	164	5	in	in	ADP
cana-1835	164	6	our	our	PRON
cana-1835	164	7	instances	instance	NOUN
cana-1835	164	8	through	through	ADP
cana-1835	164	9	the	the	DET
cana-1835	164	10	use	use	NOUN
cana-1835	164	11	of	of	ADP
cana-1835	164	12	a	a	DET
cana-1835	164	13	benefits	benefit	NOUN
cana-1835	164	14	including	include	VERB
cana-1835	164	15	improved	improve	VERB
cana-1835	164	16	and	and	CCONJ
cana-1835	164	17	bending	bend	VERB
cana-1835	164	18	transfer	transfer	NOUN
cana-1835	164	19	functions	function	NOUN
cana-1835	164	20	,	,	PUNCT
cana-1835	164	21	both	both	PRON
cana-1835	164	22	of	of	ADP
cana-1835	164	23	which	which	PRON
cana-1835	164	24	offer	offer	VERB
cana-1835	164	25	the	the	DET
cana-1835	164	26	advantage	advantage	NOUN
cana-1835	164	27	of	of	ADP
cana-1835	164	28	concurrently	concurrently	ADV
cana-1835	164	29	learning	learn	VERB
cana-1835	164	30	both	both	DET
cana-1835	164	31	'	'	CCONJ
cana-1835	164	32	n	n	CCONJ
cana-1835	164	33	'	'	CCONJ
cana-1835	164	34	bidirectional	bidirectional	ADJ
cana-1835	164	35	svm	svm	NOUN
cana-1835	164	36	classifier	classifier	NOUN
cana-1835	164	37	,	,	PUNCT
cana-1835	164	38	that	that	PRON
cana-1835	164	39	maximises	maximise	VERB
cana-1835	164	40	the	the	DET
cana-1835	164	41	margin	margin	NOUN
cana-1835	164	42	out	out	ADP
cana-1835	164	43	of	of	ADP
cana-1835	164	44	each	each	DET
cana-1835	164	45	class	class	NOUN
cana-1835	164	46	for	for	ADP
cana-1835	164	47	all	all	DET
cana-1835	164	48	other	other	ADJ
cana-1835	164	49	categories	category	NOUN
cana-1835	164	50	.	.	PUNCT
cana-1835	165	1	none	none	NOUN
cana-1835	165	2	the	the	DET
cana-1835	165	3	less	less	ADV
cana-1835	165	4	,	,	PUNCT
cana-1835	165	5	to	to	PART
cana-1835	165	6	use	use	VERB
cana-1835	165	7	the	the	DET
cana-1835	165	8	hinges	hinge	NOUN
cana-1835	165	9	error	error	NOUN
cana-1835	165	10	function	function	NOUN
cana-1835	165	11	provides	provide	VERB
cana-1835	165	12	better	well	ADJ
cana-1835	165	13	accuracy	accuracy	NOUN
cana-1835	165	14	but	but	CCONJ
cana-1835	165	15	at	at	ADP
cana-1835	165	16	a	a	DET
cana-1835	165	17	lower	low	ADJ
cana-1835	165	18	sensitivities	sensitivity	NOUN
cana-1835	165	19	.	.	PUNCT
cana-1835	166	1	3	3	X
cana-1835	166	2	.	.	X
cana-1835	166	3	experimental	experimental	ADJ
cana-1835	166	4	settings	setting	NOUN
cana-1835	166	5	the	the	DET
cana-1835	166	6	retina	retina	NOUN
cana-1835	166	7	coherence	coherence	NOUN
cana-1835	166	8	optic	optic	ADJ
cana-1835	166	9	high	high	ADJ
cana-1835	166	10	resolution	resolution	NOUN
cana-1835	166	11	computed	compute	VERB
cana-1835	166	12	(	(	PUNCT
cana-1835	166	13	oct	oct	NOUN
cana-1835	166	14	)	)	PUNCT
cana-1835	166	15	images	image	NOUN
cana-1835	166	16	that	that	PRON
cana-1835	166	17	really	really	ADV
cana-1835	166	18	are	be	AUX
cana-1835	166	19	made	make	VERB
cana-1835	166	20	accessible	accessible	ADJ
cana-1835	166	21	to	to	ADP
cana-1835	166	22	the	the	DET
cana-1835	166	23	general	general	ADJ
cana-1835	166	24	population	population	NOUN
cana-1835	166	25	are	be	AUX
cana-1835	166	26	produced	produce	VERB
cana-1835	166	27	to	to	PART
cana-1835	166	28	use	use	VERB
cana-1835	166	29	the	the	DET
cana-1835	166	30	methodologies	methodology	NOUN
cana-1835	166	31	that	that	PRON
cana-1835	166	32	have	have	AUX
cana-1835	166	33	recently	recently	ADV
cana-1835	166	34	been	be	AUX
cana-1835	166	35	presented	present	VERB
cana-1835	166	36	.	.	PUNCT
cana-1835	167	1	as	as	ADP
cana-1835	167	2	an	an	DET
cana-1835	167	3	imaging	imaging	NOUN
cana-1835	167	4	technique	technique	NOUN
cana-1835	167	5	,	,	PUNCT
cana-1835	167	6	retina	retina	VERB
cana-1835	167	7	confocal	confocal	ADJ
cana-1835	167	8	laser	laser	NOUN
cana-1835	167	9	tomography	tomography	NOUN
cana-1835	167	10	(	(	PUNCT
cana-1835	167	11	oct	oct	NOUN
cana-1835	167	12	)	)	PUNCT
cana-1835	167	13	gathers	gather	VERB
cana-1835	167	14	elevated	elevated	ADJ
cana-1835	167	15	cross	cross	NOUN
cana-1835	167	16	section	section	NOUN
cana-1835	167	17	from	from	ADP
cana-1835	167	18	of	of	ADP
cana-1835	167	19	the	the	DET
cana-1835	167	20	retina	retina	NOUN
cana-1835	167	21	of	of	ADP
cana-1835	167	22	the	the	DET
cana-1835	167	23	eye	eye	NOUN
cana-1835	167	24	of	of	ADP
cana-1835	167	25	patients	patient	NOUN
cana-1835	167	26	that	that	PRON
cana-1835	167	27	remain	remain	VERB
cana-1835	167	28	functioning	function	VERB
cana-1835	167	29	.	.	PUNCT
cana-1835	168	1	the	the	DET
cana-1835	168	2	data	datum	NOUN
cana-1835	168	3	,	,	PUNCT
cana-1835	168	4	which	which	PRON
cana-1835	168	5	contains	contain	VERB
cana-1835	168	6	subdirectories	subdirectory	NOUN
cana-1835	168	7	for	for	ADP
cana-1835	168	8	every	every	DET
cana-1835	168	9	image	image	NOUN
cana-1835	168	10	classification	classification	NOUN
cana-1835	168	11	,	,	PUNCT
cana-1835	168	12	has	have	AUX
cana-1835	168	13	indeed	indeed	ADV
cana-1835	168	14	been	be	AUX
cana-1835	168	15	organized	organize	VERB
cana-1835	168	16	into	into	ADP
cana-1835	168	17	three	three	NUM
cana-1835	168	18	directories	directory	NOUN
cana-1835	168	19	:	:	PUNCT
cana-1835	168	20	testing	testing	NOUN
cana-1835	168	21	”	"	PUNCT
cana-1835	168	22	,	,	PUNCT
cana-1835	168	23	validation	validation	NOUN
cana-1835	168	24	accuracy	accuracy	NOUN
cana-1835	168	25	,	,	PUNCT
cana-1835	168	26	and	and	CCONJ
cana-1835	168	27	test	test	NOUN
cana-1835	168	28	dataset	dataset	NOUN
cana-1835	168	29	(	(	PUNCT
cana-1835	168	30	normal	normal	ADJ
cana-1835	168	31	,	,	PUNCT
cana-1835	168	32	cnv	cnv	PROPN
cana-1835	168	33	,	,	PUNCT
cana-1835	168	34	dme	dme	PROPN
cana-1835	168	35	,	,	PUNCT
cana-1835	168	36	drusen	drusen	PROPN
cana-1835	168	37	)	)	PUNCT
cana-1835	168	38	.	.	PUNCT
cana-1835	169	1	the	the	DET
cana-1835	169	2	confocal	confocal	ADJ
cana-1835	169	3	laser	laser	NOUN
cana-1835	169	4	high	high	ADJ
cana-1835	169	5	resolution	resolution	NOUN
cana-1835	169	6	computed	compute	VERB
cana-1835	169	7	(	(	PUNCT
cana-1835	169	8	oct	oct	NOUN
cana-1835	169	9	)	)	PUNCT
cana-1835	169	10	images	image	NOUN
cana-1835	169	11	were	be	AUX
cana-1835	169	12	taken	take	VERB
cana-1835	169	13	between	between	ADP
cana-1835	169	14	july	july	PROPN
cana-1835	169	15	1	1	NUM
cana-1835	169	16	,	,	PUNCT
cana-1835	169	17	2013	2013	NUM
cana-1835	169	18	,	,	PUNCT
cana-1835	169	19	as	as	ADV
cana-1835	169	20	well	well	ADV
cana-1835	169	21	as	as	ADP
cana-1835	169	22	march	march	PROPN
cana-1835	169	23	1	1	NUM
cana-1835	169	24	,	,	PUNCT
cana-1835	169	25	2017	2017	NUM
cana-1835	169	26	,	,	PUNCT
cana-1835	169	27	from	from	ADP
cana-1835	169	28	retroactive	retroactive	ADJ
cana-1835	169	29	collaborators	collaborator	NOUN
cana-1835	169	30	of	of	ADP
cana-1835	169	31	older	old	ADJ
cana-1835	169	32	patients	patient	NOUN
cana-1835	169	33	just	just	ADV
cana-1835	169	34	at	at	ADP
cana-1835	169	35	shenzhen	shenzhen	PROPN
cana-1835	169	36	first	first	PROPN
cana-1835	169	37	women	women	PROPN
cana-1835	169	38	's	's	PART
cana-1835	169	39	clinic	clinic	NOUN
cana-1835	169	40	,	,	PUNCT
cana-1835	169	41	shanghai	shanghai	PROPN
cana-1835	169	42	make	make	VERB
cana-1835	169	43	the	the	DET
cana-1835	169	44	correct	correct	ADJ
cana-1835	169	45	eye	eye	NOUN
cana-1835	169	46	hub	hub	PROPN
cana-1835	169	47	,	,	PUNCT
cana-1835	169	48	california	california	PROPN
cana-1835	169	49	dermoscopic	dermoscopic	PROPN
cana-1835	169	50	research	research	PROPN
cana-1835	169	51	center	center	NOUN
cana-1835	169	52	,	,	PUNCT
cana-1835	169	53	medical	medical	ADJ
cana-1835	169	54	clinic	clinic	NOUN
cana-1835	169	55	ophthalmology	ophthalmology	NOUN
cana-1835	169	56	collaborators	collaborator	NOUN
cana-1835	169	57	,	,	PUNCT
cana-1835	169	58	and	and	CCONJ
cana-1835	169	59	shiley	shiley	NOUN
cana-1835	169	60	eye	eye	PROPN
cana-1835	169	61	research	research	NOUN
cana-1835	169	62	center	center	NOUN
cana-1835	169	63	of	of	ADP
cana-1835	169	64	the	the	DET
cana-1835	169	65	university	university	PROPN
cana-1835	169	66	of	of	ADP
cana-1835	169	67	california	california	PROPN
cana-1835	169	68	,	,	PUNCT
cana-1835	169	69	san	san	PROPN
cana-1835	169	70	francisco	francisco	PROPN
cana-1835	169	71	.	.	PUNCT
cana-1835	170	1	matlab	matlab	PROPN
cana-1835	170	2	was	be	AUX
cana-1835	170	3	employed	employ	VERB
cana-1835	170	4	to	to	PART
cana-1835	170	5	conduct	conduct	VERB
cana-1835	170	6	various	various	ADJ
cana-1835	170	7	experiments	experiment	NOUN
cana-1835	170	8	.	.	PUNCT
cana-1835	171	1	the	the	DET
cana-1835	171	2	above	above	ADJ
cana-1835	171	3	largely	largely	ADV
cana-1835	171	4	true	true	ADJ
cana-1835	171	5	aims	aim	NOUN
cana-1835	171	6	to	to	PART
cana-1835	171	7	contrast	contrast	VERB
cana-1835	171	8	the	the	DET
cana-1835	171	9	pro	pro	ADJ
cana-1835	171	10	posed	pose	VERB
cana-1835	171	11	geometric	geometric	ADJ
cana-1835	171	12	pure	pure	ADJ
cana-1835	171	13	sine	sine	ADJ
cana-1835	171	14	wave	wave	NOUN
cana-1835	171	15	inter	inter	PROPN
cana-1835	171	16	hinge	hinge	NOUN
cana-1835	171	17	support	support	NOUN
cana-1835	171	18	device	device	NOUN
cana-1835	171	19	learner	learner	NOUN
cana-1835	171	20	(	(	PUNCT
cana-1835	171	21	assembler	assembler	NOUN
cana-1835	171	22	)	)	PUNCT
cana-1835	171	23	technique	technique	NOUN
cana-1835	171	24	for	for	ADP
cana-1835	171	25	disease	disease	NOUN
cana-1835	171	26	prediction	prediction	NOUN
cana-1835	171	27	against	against	ADP
cana-1835	171	28	the	the	DET
cana-1835	171	29	already	already	ADV
cana-1835	171	30	established	establish	VERB
cana-1835	171	31	multi	multi	ADJ
cana-1835	171	32	different	different	ADJ
cana-1835	171	33	feature	feature	NOUN
cana-1835	171	34	deep	deep	ADJ
cana-1835	171	35	convolutional	convolutional	ADJ
cana-1835	171	36	neural	neural	ADJ
cana-1835	171	37	network	network	NOUN
cana-1835	171	38	(	(	PUNCT
cana-1835	171	39	mfv	mfv	PROPN
cana-1835	171	40	-	-	PUNCT
cana-1835	171	41	dbn	dbn	NOUN
cana-1835	171	42	)	)	PUNCT
cana-1835	172	1	[	[	X
cana-1835	172	2	1	1	X
cana-1835	172	3	]	]	PUNCT
cana-1835	172	4	as	as	ADV
cana-1835	172	5	well	well	ADV
cana-1835	172	6	as	as	ADP
cana-1835	172	7	contrast	contrast	NOUN
cana-1835	172	8	restricted	restrict	VERB
cana-1835	172	9	accelerated	accelerate	VERB
cana-1835	172	10	histogram	histogram	NOUN
cana-1835	172	11	equalization	equalization	NOUN
cana-1835	172	12	(	(	PUNCT
cana-1835	172	13	clahe	clahe	PROPN
cana-1835	172	14	)	)	PUNCT
cana-1835	173	1	[	[	X
cana-1835	173	2	2	2	X
cana-1835	173	3	.	.	PUNCT
cana-1835	173	4	the	the	DET
cana-1835	173	5	sensitivities	sensitivity	NOUN
cana-1835	173	6	with	with	ADP
cana-1835	173	7	regard	regard	NOUN
cana-1835	173	8	to	to	ADP
cana-1835	173	9	different	different	ADJ
cana-1835	173	10	number	number	NOUN
cana-1835	173	11	of	of	ADP
cana-1835	173	12	images	image	NOUN
cana-1835	173	13	and	and	CCONJ
cana-1835	173	14	the	the	DET
cana-1835	173	15	computational	computational	ADJ
cana-1835	173	16	duration	duration	NOUN
cana-1835	173	17	for	for	ADP
cana-1835	173	18	disease	disease	NOUN
cana-1835	173	19	detection	detection	NOUN
cana-1835	173	20	are	be	AUX
cana-1835	173	21	the	the	DET
cana-1835	173	22	parameters	parameter	NOUN
cana-1835	173	23	that	that	PRON
cana-1835	173	24	are	be	AUX
cana-1835	173	25	being	be	AUX
cana-1835	173	26	investigated	investigate	VERB
cana-1835	173	27	.	.	PUNCT
cana-1835	174	1	4	4	X
cana-1835	174	2	.	.	NOUN
cana-1835	174	3	results	result	NOUN
cana-1835	174	4	and	and	CCONJ
cana-1835	174	5	discussion	discussion	NOUN
cana-1835	174	6	this	this	DET
cana-1835	174	7	section	section	NOUN
cana-1835	174	8	evaluates	evaluate	VERB
cana-1835	174	9	statistical	statistical	ADJ
cana-1835	174	10	parameters	parameter	NOUN
cana-1835	174	11	diagnosis	diagnosis	NOUN
cana-1835	174	12	duration	duration	NOUN
cana-1835	174	13	,	,	PUNCT
cana-1835	174	14	ophthalmology	ophthalmology	NOUN
cana-1835	174	15	high	high	ADJ
cana-1835	174	16	detection	detection	NOUN
cana-1835	174	17	,	,	PUNCT
cana-1835	174	18	and	and	CCONJ
cana-1835	174	19	responsiveness	responsiveness	NOUN
cana-1835	174	20	evaluate	evaluate	VERB
cana-1835	174	21	the	the	DET
cana-1835	174	22	efficacy	efficacy	NOUN
cana-1835	174	23	of	of	ADP
cana-1835	174	24	disease	disease	NOUN
cana-1835	174	25	diagnosis	diagnosis	NOUN
cana-1835	174	26	.	.	PUNCT
cana-1835	175	1	the	the	DET
cana-1835	175	2	same	same	ADJ
cana-1835	175	3	dataframe	dataframe	ADJ
cana-1835	175	4	and	and	CCONJ
cana-1835	175	5	similar	similar	ADJ
cana-1835	175	6	sample	sample	NOUN
cana-1835	175	7	image	image	NOUN
cana-1835	175	8	data	datum	NOUN
cana-1835	175	9	were	be	AUX
cana-1835	175	10	employed	employ	VERB
cana-1835	175	11	to	to	PART
cana-1835	175	12	conduct	conduct	VERB
cana-1835	175	13	a	a	DET
cana-1835	175	14	reasonable	reasonable	ADJ
cana-1835	175	15	evaluation	evaluation	NOUN
cana-1835	175	16	of	of	ADP
cana-1835	175	17	the	the	DET
cana-1835	175	18	suggested	suggest	VERB
cana-1835	175	19	angular	angular	ADJ
cana-1835	175	20	pure	pure	ADJ
cana-1835	175	21	sine	sine	ADJ
cana-1835	175	22	wave	wave	NOUN
cana-1835	175	23	inter	inter	PROPN
cana-1835	175	24	hinge	hinge	NOUN
cana-1835	175	25	support	support	NOUN
cana-1835	175	26	device	device	NOUN
cana-1835	175	27	learner	learner	NOUN
cana-1835	175	28	(	(	PUNCT
cana-1835	175	29	embedded	embed	VERB
cana-1835	175	30	systems	system	NOUN
cana-1835	175	31	)	)	PUNCT
cana-1835	175	32	for	for	ADP
cana-1835	175	33	disease	disease	NOUN
cana-1835	175	34	diagnosis	diagnosis	NOUN
cana-1835	175	35	against	against	ADP
cana-1835	175	36	by	by	ADP
cana-1835	175	37	the	the	DET
cana-1835	175	38	established	establish	VERB
cana-1835	175	39	inter	inter	ADJ
cana-1835	175	40	different	different	ADJ
cana-1835	175	41	feature	feature	NOUN
cana-1835	175	42	deep	deep	ADJ
cana-1835	175	43	convolutional	convolutional	ADJ
cana-1835	175	44	neural	neural	ADJ
cana-1835	175	45	internet	internet	NOUN
cana-1835	175	46	backbone	backbone	NOUN
cana-1835	175	47	mother	mother	NOUN
cana-1835	175	48	to	to	ADP
cana-1835	175	49	the	the	DET
cana-1835	175	50	fetus	fetus	NOUN
cana-1835	176	1	[	[	X
cana-1835	176	2	1	1	X
cana-1835	176	3	]	]	PUNCT
cana-1835	176	4	and	and	CCONJ
cana-1835	176	5	algorithms	algorithm	NOUN
cana-1835	176	6	[	[	X
cana-1835	176	7	1	1	X
cana-1835	176	8	]	]	PUNCT
cana-1835	176	9	and	and	CCONJ
cana-1835	176	10	comparison	comparison	NOUN
cana-1835	176	11	restricted	restrict	VERB
cana-1835	176	12	accelerated	accelerate	VERB
cana-1835	176	13	analytic	analytic	ADJ
cana-1835	176	14	hierarchy	hierarchy	NOUN
cana-1835	176	15	process	process	NOUN
cana-1835	176	16	(	(	PUNCT
cana-1835	176	17	ahp	ahp	PROPN
cana-1835	176	18	clahe	clahe	PROPN
cana-1835	177	1	[	[	X
cana-1835	177	2	2	2	NUM
cana-1835	177	3	]	]	PUNCT
cana-1835	177	4	.	.	PUNCT
cana-1835	178	1	communications	communication	NOUN
cana-1835	178	2	on	on	ADP
cana-1835	178	3	applied	apply	VERB
cana-1835	178	4	nonlinear	nonlinear	ADJ
cana-1835	178	5	analysis	analysis	NOUN
cana-1835	178	6	issn	issn	NOUN
cana-1835	178	7	:	:	PUNCT
cana-1835	178	8	1074	1074	NUM
cana-1835	178	9	-	-	PUNCT
cana-1835	178	10	133x	133x	NUM
cana-1835	178	11	vol	vol	NOUN
cana-1835	178	12	32	32	NUM
cana-1835	178	13	no	no	NOUN
cana-1835	178	14	.	.	NOUN
cana-1835	178	15	2	2	NUM
cana-1835	178	16	(	(	PUNCT
cana-1835	178	17	2025	2025	NUM
cana-1835	178	18	)	)	PUNCT
cana-1835	178	19	604	604	NUM
cana-1835	178	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-1835	178	21	4.1	4.1	NUM
cana-1835	178	22	glaucoma	glaucoma	NOUN
cana-1835	178	23	detection	detection	NOUN
cana-1835	178	24	time	time	NOUN
cana-1835	178	25	in	in	ADP
cana-1835	178	26	order	order	NOUN
cana-1835	178	27	to	to	PART
cana-1835	178	28	maximise	maximise	VERB
cana-1835	178	29	treatment	treatment	NOUN
cana-1835	178	30	plans	plan	NOUN
cana-1835	178	31	advantages	advantage	NOUN
cana-1835	178	32	and	and	CCONJ
cana-1835	178	33	minimize	minimize	VERB
cana-1835	178	34	financial	financial	ADJ
cana-1835	178	35	burden	burden	NOUN
cana-1835	178	36	,	,	PUNCT
cana-1835	178	37	early	early	ADJ
cana-1835	178	38	detection	detection	NOUN
cana-1835	178	39	of	of	ADP
cana-1835	178	40	ophthalmology	ophthalmology	NOUN
cana-1835	178	41	is	be	AUX
cana-1835	178	42	essential	essential	ADJ
cana-1835	178	43	.	.	PUNCT
cana-1835	179	1	the	the	DET
cana-1835	179	2	ophthalmology	ophthalmology	NOUN
cana-1835	179	3	detection	detection	NOUN
cana-1835	179	4	limit	limit	NOUN
cana-1835	179	5	is	be	AUX
cana-1835	179	6	the	the	DET
cana-1835	179	7	initial	initial	ADJ
cana-1835	179	8	measurement	measurement	NOUN
cana-1835	179	9	to	to	PART
cana-1835	179	10	investigate	investigate	VERB
cana-1835	179	11	retinal	retinal	ADJ
cana-1835	179	12	diagnosis	diagnosis	NOUN
cana-1835	179	13	.	.	PUNCT
cana-1835	180	1	the	the	DET
cana-1835	180	2	faster	fast	ADJ
cana-1835	180	3	ophthalmology	ophthalmology	NOUN
cana-1835	180	4	is	be	AUX
cana-1835	180	5	diagnosed	diagnose	VERB
cana-1835	180	6	,	,	PUNCT
cana-1835	180	7	the	the	DET
cana-1835	180	8	earlier	early	ADJ
cana-1835	180	9	preventive	preventive	ADJ
cana-1835	180	10	measures	measure	NOUN
cana-1835	180	11	can	can	AUX
cana-1835	180	12	be	be	AUX
cana-1835	180	13	taken	take	VERB
cana-1835	180	14	.	.	PUNCT
cana-1835	181	1	the	the	DET
cana-1835	181	2	quicker	quick	ADV
cana-1835	181	3	the	the	DET
cana-1835	181	4	diagnosis	diagnosis	NOUN
cana-1835	181	5	time	time	NOUN
cana-1835	181	6	,	,	PUNCT
cana-1835	181	7	the	the	DET
cana-1835	181	8	mathematical	mathematical	ADJ
cana-1835	181	9	formulation	formulation	NOUN
cana-1835	181	10	of	of	ADP
cana-1835	181	11	the	the	DET
cana-1835	181	12	ophthalmology	ophthalmology	NOUN
cana-1835	181	13	detection	detection	NOUN
cana-1835	181	14	time	time	NOUN
cana-1835	181	15	appears	appear	VERB
cana-1835	181	16	as	as	SCONJ
cana-1835	181	17	follows	follow	VERB
cana-1835	181	18	.	.	PUNCT
cana-1835	182	1	𝐺𝐷𝑡𝑖𝑚𝑒	𝐺𝐷𝑡𝑖𝑚𝑒	PROPN
cana-1835	182	2	=	=	SYM
cana-1835	182	3	∑	∑	ADP
cana-1835	182	4	𝑅𝐼𝑖	𝑅𝐼𝑖	NOUN
cana-1835	182	5	∗	∗	VERB
cana-1835	182	6	𝑇𝑖𝑚𝑒	𝑇𝑖𝑚𝑒	PROPN
cana-1835	183	1	[	[	X
cana-1835	183	2	𝐺𝐷]𝑛	𝐺𝐷]𝑛	ADV
cana-1835	183	3	𝑖=1	𝑖=1	X
cana-1835	183	4	(	(	PUNCT
cana-1835	183	5	17	17	NUM
cana-1835	183	6	)	)	PUNCT
cana-1835	183	7	thus	thus	ADV
cana-1835	183	8	according	accord	VERB
cana-1835	183	9	equations	equation	NOUN
cana-1835	183	10	(	(	PUNCT
cana-1835	183	11	17	17	NUM
cana-1835	183	12	)	)	PUNCT
cana-1835	183	13	above	above	ADV
cana-1835	183	14	,	,	PUNCT
cana-1835	183	15	that	that	DET
cana-1835	183	16	time	time	NOUN
cana-1835	183	17	period	period	NOUN
cana-1835	183	18	required	require	VERB
cana-1835	183	19	to	to	PART
cana-1835	183	20	recognize	recognize	VERB
cana-1835	183	21	ophthalmology	ophthalmology	NOUN
cana-1835	183	22	based	base	VERB
cana-1835	183	23	on	on	ADP
cana-1835	183	24	the	the	DET
cana-1835	183	25	hinge	hinge	NOUN
cana-1835	183	26	error	error	NOUN
cana-1835	183	27	function	function	NOUN
cana-1835	183	28	is	be	AUX
cana-1835	183	29	measured	measure	VERB
cana-1835	183	30	as	as	ADP
cana-1835	183	31	"	"	PUNCT
cana-1835	183	32	length	length	NOUN
cana-1835	184	1	[	[	X
cana-1835	184	2	gd	gd	NOUN
cana-1835	184	3	]	]	PUNCT
cana-1835	184	4	"	"	PUNCT
cana-1835	184	5	and	and	CCONJ
cana-1835	184	6	is	be	AUX
cana-1835	184	7	predicated	predicate	VERB
cana-1835	184	8	on	on	ADP
cana-1835	184	9	the	the	DET
cana-1835	184	10	example	example	NOUN
cana-1835	184	11	retina	retina	NOUN
cana-1835	184	12	image	image	NOUN
cana-1835	184	13	provided	provide	VERB
cana-1835	184	14	for	for	ADP
cana-1835	184	15	screening	screen	VERB
cana-1835	184	16	,	,	PUNCT
cana-1835	184	17	"	"	PUNCT
cana-1835	184	18	ri	ri	PROPN
cana-1835	184	19	i.	i.	NOUN
cana-1835	184	20	"	"	PUNCT
cana-1835	184	21	average	average	ADJ
cana-1835	184	22	ophthalmology	ophthalmology	NOUN
cana-1835	184	23	identification	identification	NOUN
cana-1835	184	24	rates	rate	NOUN
cana-1835	184	25	again	again	ADV
cana-1835	184	26	for	for	ADP
cana-1835	184	27	three	three	NUM
cana-1835	184	28	techniques	technique	NOUN
cana-1835	184	29	,	,	PUNCT
cana-1835	184	30	mother	mother	NOUN
cana-1835	184	31	to	to	ADP
cana-1835	184	32	the	the	DET
cana-1835	184	33	fetus	fetus	NOUN
cana-1835	185	1	[	[	X
cana-1835	185	2	1	1	X
cana-1835	185	3	]	]	PUNCT
cana-1835	185	4	and	and	CCONJ
cana-1835	185	5	convolution	convolution	NOUN
cana-1835	185	6	[	[	X
cana-1835	185	7	2]—are	2]—are	VERB
cana-1835	185	8	shown	show	VERB
cana-1835	185	9	in	in	ADP
cana-1835	185	10	table	table	NOUN
cana-1835	185	11	1	1	NUM
cana-1835	185	12	beneath	beneath	NOUN
cana-1835	185	13	.	.	PUNCT
cana-1835	186	1	table	table	NOUN
cana-1835	186	2	1	1	NUM
cana-1835	186	3	asm	asm	NOUN
cana-1835	186	4	-	-	NOUN
cana-1835	186	5	hsnl	hsnl	PROPN
cana-1835	186	6	,	,	PUNCT
cana-1835	186	7	mfv	mfv	PROPN
cana-1835	186	8	-	-	PUNCT
cana-1835	186	9	dbn	dbn	NOUN
cana-1835	186	10	,	,	PUNCT
cana-1835	186	11	and	and	CCONJ
cana-1835	186	12	clahe	clahe	NOUN
cana-1835	186	13	are	be	AUX
cana-1835	186	14	tabulated	tabulate	VERB
cana-1835	186	15	.	.	PUNCT
cana-1835	187	1	sample	sample	NOUN
cana-1835	187	2	retinal	retinal	ADJ
cana-1835	187	3	image	image	NOUN
cana-1835	187	4	glaucoma	glaucoma	NOUN
cana-1835	187	5	detection	detection	NOUN
cana-1835	187	6	time	time	NOUN
cana-1835	187	7	(	(	PUNCT
cana-1835	187	8	ms	ms	NOUN
cana-1835	187	9	)	)	PUNCT
cana-1835	187	10	asm	asm	PROPN
cana-1835	187	11	-	-	PUNCT
cana-1835	187	12	hsml	hsml	NOUN
cana-1835	187	13	mfv	mfv	PROPN
cana-1835	187	14	-	-	PUNCT
cana-1835	187	15	dbn	dbn	PROPN
cana-1835	187	16	clahe	clahe	PROPN
cana-1835	187	17	500	500	NUM
cana-1835	187	18	82.5	82.5	NUM
cana-1835	187	19	95	95	NUM
cana-1835	187	20	102.5	102.5	NUM
cana-1835	187	21	1000	1000	NUM
cana-1835	187	22	102.35	102.35	NUM
cana-1835	187	23	125.55	125.55	NUM
cana-1835	187	24	155.15	155.15	NUM
cana-1835	187	25	1500	1500	NUM
cana-1835	187	26	135.55	135.55	NUM
cana-1835	187	27	160.75	160.75	NUM
cana-1835	187	28	195.35	195.35	NUM
cana-1835	187	29	2000	2000	NUM
cana-1835	187	30	150.15	150.15	NUM
cana-1835	187	31	180.25	180.25	NUM
cana-1835	187	32	225.55	225.55	NUM
cana-1835	187	33	2500	2500	NUM
cana-1835	187	34	165.35	165.35	NUM
cana-1835	187	35	195.55	195.55	NUM
cana-1835	187	36	245.55	245.55	NUM
cana-1835	187	37	3000	3000	NUM
cana-1835	187	38	190.25	190.25	NUM
cana-1835	187	39	225.35	225.35	NUM
cana-1835	187	40	290	290	NUM
cana-1835	187	41	3500	3500	NUM
cana-1835	187	42	220.55	220.55	NUM
cana-1835	187	43	240.55	240.55	NUM
cana-1835	187	44	310.55	310.55	NUM
cana-1835	187	45	4000	4000	NUM
cana-1835	187	46	245.55	245.55	NUM
cana-1835	187	47	295.55	295.55	NUM
cana-1835	187	48	335.55	335.55	NUM
cana-1835	187	49	4500	4500	NUM
cana-1835	187	50	290	290	NUM
cana-1835	187	51	345.55	345.55	NUM
cana-1835	187	52	390.15	390.15	NUM
cana-1835	187	53	5000	5000	NUM
cana-1835	187	54	325.55	325.55	NUM
cana-1835	187	55	360	360	NUM
cana-1835	187	56	410.25	410.25	NUM
cana-1835	187	57	figure	figure	NOUN
cana-1835	187	58	4	4	NUM
cana-1835	187	59	time	time	NOUN
cana-1835	187	60	to	to	PART
cana-1835	187	61	diagnose	diagnose	VERB
cana-1835	187	62	glaucoma	glaucoma	NOUN
cana-1835	187	63	in	in	ADP
cana-1835	187	64	comparison	comparison	NOUN
cana-1835	187	65	to	to	PART
cana-1835	187	66	sample	sample	VERB
cana-1835	187	67	retinal	retinal	ADJ
cana-1835	187	68	images	image	NOUN
cana-1835	187	69	the	the	DET
cana-1835	187	70	geometric	geometric	ADJ
cana-1835	187	71	representation	representation	NOUN
cana-1835	187	72	of	of	ADP
cana-1835	187	73	ophthalmology	ophthalmology	NOUN
cana-1835	187	74	diagnosis	diagnosis	NOUN
cana-1835	187	75	over	over	ADP
cana-1835	187	76	time	time	NOUN
cana-1835	187	77	with	with	ADP
cana-1835	187	78	regard	regard	NOUN
cana-1835	187	79	to	to	ADP
cana-1835	187	80	5000	5000	NUM
cana-1835	187	81	different	different	ADJ
cana-1835	187	82	sample	sample	NOUN
cana-1835	187	83	retina	retina	NOUN
cana-1835	187	84	images	image	NOUN
cana-1835	187	85	obtained	obtain	VERB
cana-1835	187	86	from	from	ADP
cana-1835	187	87	a	a	DET
cana-1835	187	88	dataset	dataset	NOUN
cana-1835	187	89	of	of	ADP
cana-1835	187	90	retina	retina	NOUN
cana-1835	187	91	mri	mri	NOUN
cana-1835	187	92	images	image	NOUN
cana-1835	187	93	collected	collect	VERB
cana-1835	187	94	at	at	ADP
cana-1835	187	95	multiple	multiple	ADJ
cana-1835	187	96	periods	period	NOUN
cana-1835	187	97	interval	interval	NOUN
cana-1835	187	98	can	can	AUX
cana-1835	187	99	be	be	AUX
cana-1835	187	100	seen	see	VERB
cana-1835	187	101	in	in	ADP
cana-1835	187	102	figure	figure	NOUN
cana-1835	187	103	4	4	NUM
cana-1835	187	104	above	above	ADV
cana-1835	187	105	.	.	PUNCT
cana-1835	188	1	as	as	SCONJ
cana-1835	188	2	shown	show	VERB
cana-1835	188	3	in	in	ADP
cana-1835	188	4	the	the	DET
cana-1835	188	5	picture	picture	NOUN
cana-1835	188	6	,	,	PUNCT
cana-1835	188	7	the	the	DET
cana-1835	188	8	example	example	NOUN
cana-1835	188	9	retinal	retinal	ADJ
cana-1835	188	10	images	image	NOUN
cana-1835	188	11	for	for	ADP
cana-1835	188	12	use	use	NOUN
cana-1835	188	13	as	as	ADP
cana-1835	188	14	following	follow	VERB
cana-1835	188	15	characteristics	characteristic	NOUN
cana-1835	188	16	impact	impact	VERB
cana-1835	188	17	the	the	DET
cana-1835	188	18	speed	speed	NOUN
cana-1835	188	19	at	at	ADP
cana-1835	188	20	which	which	PRON
cana-1835	188	21	glaucoma	glaucoma	NOUN
cana-1835	188	22	is	be	AUX
cana-1835	188	23	detected	detect	VERB
cana-1835	188	24	.	.	PUNCT
cana-1835	189	1	in	in	ADP
cana-1835	189	2	those	those	DET
cana-1835	189	3	other	other	ADJ
cana-1835	189	4	words	word	NOUN
cana-1835	189	5	,	,	PUNCT
cana-1835	189	6	whenever	whenever	SCONJ
cana-1835	189	7	the	the	DET
cana-1835	189	8	dataset	dataset	NOUN
cana-1835	189	9	's	's	PART
cana-1835	189	10	three	three	NUM
cana-1835	189	11	directories	directory	NOUN
cana-1835	189	12	(	(	PUNCT
cana-1835	189	13	labeled	label	VERB
cana-1835	189	14	training	training	NOUN
cana-1835	189	15	,	,	PUNCT
cana-1835	189	16	test	test	NOUN
cana-1835	189	17	dataset	dataset	NOUN
cana-1835	189	18	,	,	PUNCT
cana-1835	189	19	and	and	CCONJ
cana-1835	189	20	testing	testing	NOUN
cana-1835	189	21	set	set	NOUN
cana-1835	189	22	)	)	PUNCT
cana-1835	189	23	and	and	CCONJ
cana-1835	189	24	four	four	NUM
cana-1835	189	25	subdirectories	subdirectory	NOUN
cana-1835	189	26	(	(	PUNCT
cana-1835	189	27	regular	regular	ADJ
cana-1835	189	28	,	,	PUNCT
cana-1835	189	29	nvr	nvr	PROPN
cana-1835	189	30	,	,	PUNCT
cana-1835	189	31	mdr	mdr	PROPN
cana-1835	189	32	,	,	PUNCT
cana-1835	189	33	and	and	CCONJ
cana-1835	189	34	combination	combination	NOUN
cana-1835	189	35	of	of	ADP
cana-1835	189	36	chemical	chemical	NOUN
cana-1835	189	37	)	)	PUNCT
cana-1835	189	38	are	be	AUX
cana-1835	189	39	extended	extend	VERB
cana-1835	189	40	by	by	ADP
cana-1835	189	41	adding	add	VERB
cana-1835	189	42	additional	additional	ADJ
cana-1835	189	43	example	example	NOUN
cana-1835	189	44	retinal	retinal	ADJ
cana-1835	189	45	images	image	NOUN
cana-1835	189	46	,	,	PUNCT
cana-1835	189	47	the	the	DET
cana-1835	189	48	amount	amount	NOUN
cana-1835	189	49	of	of	ADP
cana-1835	189	50	time	time	NOUN
cana-1835	189	51	needed	need	VERB
cana-1835	189	52	to	to	PART
cana-1835	189	53	detect	detect	VERB
cana-1835	189	54	ophthalmology	ophthalmology	NOUN
cana-1835	189	55	concurrently	concurrently	ADV
cana-1835	189	56	increases	increase	VERB
cana-1835	189	57	.	.	PUNCT
cana-1835	190	1	communications	communication	NOUN
cana-1835	190	2	on	on	ADP
cana-1835	190	3	applied	apply	VERB
cana-1835	190	4	nonlinear	nonlinear	ADJ
cana-1835	190	5	analysis	analysis	NOUN
cana-1835	190	6	issn	issn	NOUN
cana-1835	190	7	:	:	PUNCT
cana-1835	190	8	1074	1074	NUM
cana-1835	190	9	-	-	PUNCT
cana-1835	190	10	133x	133x	NUM
cana-1835	190	11	vol	vol	NOUN
cana-1835	190	12	32	32	NUM
cana-1835	190	13	no	no	NOUN
cana-1835	190	14	.	.	NOUN
cana-1835	190	15	2	2	NUM
cana-1835	190	16	(	(	PUNCT
cana-1835	190	17	2025	2025	NUM
cana-1835	190	18	)	)	PUNCT
cana-1835	190	19	605	605	NUM
cana-1835	190	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-1835	190	21	even	even	ADV
cana-1835	190	22	so	so	ADV
cana-1835	190	23	,	,	PUNCT
cana-1835	190	24	for	for	ADP
cana-1835	190	25	just	just	ADV
cana-1835	190	26	a	a	DET
cana-1835	190	27	sample	sample	NOUN
cana-1835	190	28	test	test	NOUN
cana-1835	190	29	containing	contain	VERB
cana-1835	190	30	"	"	PUNCT
cana-1835	190	31	500	500	NUM
cana-1835	190	32	"	"	PUNCT
cana-1835	190	33	opt	opt	NOUN
cana-1835	190	34	images	image	NOUN
cana-1835	190	35	,	,	PUNCT
cana-1835	190	36	ophthalmology	ophthalmology	NOUN
cana-1835	190	37	identification	identification	NOUN
cana-1835	190	38	was	be	AUX
cana-1835	190	39	demonstrated	demonstrate	VERB
cana-1835	190	40	to	to	PART
cana-1835	190	41	require	require	VERB
cana-1835	190	42	"	"	PUNCT
cana-1835	190	43	0.190ms	0.190ms	NOUN
cana-1835	190	44	"	"	PUNCT
cana-1835	190	45	for	for	ADP
cana-1835	190	46	assembler	assembler	NOUN
cana-1835	190	47	,	,	PUNCT
cana-1835	190	48	"	"	PUNCT
cana-1835	190	49	0.205ms	0.205m	NOUN
cana-1835	190	50	"	"	PUNCT
cana-1835	190	51	with	with	ADP
cana-1835	190	52	mother	mother	NOUN
cana-1835	190	53	to	to	ADP
cana-1835	190	54	the	the	DET
cana-1835	190	55	fetus	fetus	NOUN
cana-1835	190	56	,	,	PUNCT
cana-1835	190	57	and	and	CCONJ
cana-1835	190	58	"	"	PUNCT
cana-1835	190	59	0.165ms	0.165m	NOUN
cana-1835	190	60	"	"	PUNCT
cana-1835	190	61	for	for	ADP
cana-1835	190	62	original	original	ADJ
cana-1835	190	63	image	image	NOUN
cana-1835	190	64	,	,	PUNCT
cana-1835	190	65	while	while	SCONJ
cana-1835	190	66	the	the	DET
cana-1835	190	67	overall	overall	ADJ
cana-1835	190	68	diagnostic	diagnostic	ADJ
cana-1835	190	69	required	require	VERB
cana-1835	190	70	"	"	PUNCT
cana-1835	190	71	82.5ms	82.5ms	NUM
cana-1835	190	72	,	,	PUNCT
cana-1835	190	73	"	"	PUNCT
cana-1835	190	74	"	"	PUNCT
cana-1835	190	75	95ms	95ms	ADJ
cana-1835	190	76	,	,	PUNCT
cana-1835	190	77	"	"	PUNCT
cana-1835	190	78	and	and	CCONJ
cana-1835	190	79	"	"	PUNCT
cana-1835	190	80	102.5ms	102.5ms	NUM
cana-1835	190	81	"	"	PUNCT
cana-1835	190	82	respectively	respectively	ADV
cana-1835	190	83	.	.	PUNCT
cana-1835	191	1	from	from	ADP
cana-1835	191	2	results	result	NOUN
cana-1835	191	3	,	,	PUNCT
cana-1835	191	4	it	it	PRON
cana-1835	191	5	may	may	AUX
cana-1835	191	6	be	be	AUX
cana-1835	191	7	determined	determine	VERB
cana-1835	191	8	that	that	SCONJ
cana-1835	191	9	now	now	ADV
cana-1835	191	10	the	the	DET
cana-1835	191	11	assembler	assembler	NOUN
cana-1835	191	12	product	product	NOUN
cana-1835	191	13	's	's	PART
cana-1835	191	14	ophthalmology	ophthalmology	NOUN
cana-1835	191	15	detection	detection	NOUN
cana-1835	191	16	limit	limit	NOUN
cana-1835	191	17	is	be	AUX
cana-1835	191	18	considerably	considerably	ADV
cana-1835	191	19	quicker	quick	ADV
cana-1835	191	20	compared	compare	VERB
cana-1835	191	21	to	to	ADP
cana-1835	191	22	[	[	X
cana-1835	191	23	1	1	NUM
cana-1835	191	24	]	]	PUNCT
cana-1835	191	25	and	and	CCONJ
cana-1835	191	26	[	[	X
cana-1835	191	27	2	2	NUM
cana-1835	191	28	]	]	PUNCT
cana-1835	191	29	.	.	PUNCT
cana-1835	192	1	the	the	DET
cana-1835	192	2	implementation	implementation	NOUN
cana-1835	192	3	of	of	ADP
cana-1835	192	4	a	a	DET
cana-1835	192	5	wedge	wedge	NOUN
cana-1835	192	6	shaped	shape	VERB
cana-1835	192	7	binary	binary	ADJ
cana-1835	192	8	pattern	pattern	NOUN
cana-1835	192	9	(	(	PUNCT
cana-1835	192	10	lbp	lbp	PROPN
cana-1835	192	11	pre	pre	PROPN
cana-1835	192	12	processor	processor	PROPN
cana-1835	192	13	model	model	NOUN
cana-1835	192	14	is	be	AUX
cana-1835	192	15	what	what	PRON
cana-1835	192	16	produced	produce	VERB
cana-1835	192	17	the	the	DET
cana-1835	192	18	optimization	optimization	NOUN
cana-1835	192	19	.	.	PUNCT
cana-1835	193	1	through	through	ADP
cana-1835	193	2	this	this	DET
cana-1835	193	3	methodology	methodology	NOUN
cana-1835	193	4	,	,	PUNCT
cana-1835	193	5	semi	semi	ADV
cana-1835	193	6	illness	illness	NOUN
cana-1835	193	7	dependent	dependent	ADJ
cana-1835	193	8	inconsistencies	inconsistency	NOUN
cana-1835	193	9	first	first	ADV
cana-1835	193	10	were	be	AUX
cana-1835	193	11	eliminated	eliminate	VERB
cana-1835	193	12	,	,	PUNCT
cana-1835	193	13	and	and	CCONJ
cana-1835	193	14	afterwards	afterwards	ADV
cana-1835	193	15	relevant	relevant	ADJ
cana-1835	193	16	features	feature	NOUN
cana-1835	193	17	are	be	AUX
cana-1835	193	18	extracted	extract	VERB
cana-1835	193	19	by	by	ADP
cana-1835	193	20	acquiring	acquire	VERB
cana-1835	193	21	local	local	ADJ
cana-1835	193	22	angular	angular	ADJ
cana-1835	193	23	displacement	displacement	NOUN
cana-1835	193	24	.	.	PUNCT
cana-1835	194	1	the	the	DET
cana-1835	194	2	main	main	ADJ
cana-1835	194	3	feature	feature	NOUN
cana-1835	194	4	required	require	VERB
cana-1835	194	5	for	for	ADP
cana-1835	194	6	ophthalmology	ophthalmology	NOUN
cana-1835	194	7	detection	detection	NOUN
cana-1835	194	8	is	be	AUX
cana-1835	194	9	generated	generate	VERB
cana-1835	194	10	with	with	ADP
cana-1835	194	11	any	any	PRON
cana-1835	194	12	of	of	ADP
cana-1835	194	13	these	these	DET
cana-1835	194	14	two	two	NUM
cana-1835	194	15	obtained	obtain	VERB
cana-1835	194	16	positioning	positioning	NOUN
cana-1835	194	17	measurements	measurement	NOUN
cana-1835	194	18	employing	employ	VERB
cana-1835	194	19	the	the	DET
cana-1835	194	20	assembler	assembler	NOUN
cana-1835	194	21	methodology	methodology	NOUN
cana-1835	194	22	in	in	ADP
cana-1835	194	23	the	the	DET
cana-1835	194	24	shortest	short	ADJ
cana-1835	194	25	period	period	NOUN
cana-1835	194	26	of	of	ADP
cana-1835	194	27	time	time	NOUN
cana-1835	194	28	,	,	PUNCT
cana-1835	194	29	which	which	PRON
cana-1835	194	30	is	be	AUX
cana-1835	194	31	reported	report	VERB
cana-1835	194	32	to	to	PART
cana-1835	194	33	be	be	AUX
cana-1835	194	34	reduced	reduce	VERB
cana-1835	194	35	by	by	ADP
cana-1835	194	36	15percentage	15percentage	NUM
cana-1835	194	37	points	point	NOUN
cana-1835	194	38	compared	compare	VERB
cana-1835	194	39	to	to	ADP
cana-1835	194	40	[	[	X
cana-1835	194	41	1	1	NUM
cana-1835	194	42	]	]	PUNCT
cana-1835	194	43	and	and	CCONJ
cana-1835	194	44	29	29	NUM
cana-1835	194	45	%	%	NOUN
cana-1835	194	46	comparing	compare	VERB
cana-1835	194	47	to	to	ADP
cana-1835	194	48	[	[	X
cana-1835	194	49	2	2	NUM
cana-1835	194	50	]	]	PUNCT
cana-1835	194	51	.	.	PUNCT
cana-1835	195	1	efficiency	efficiency	NOUN
cana-1835	195	2	in	in	ADP
cana-1835	195	3	ophthalmology	ophthalmology	NOUN
cana-1835	195	4	diagnosis	diagnosis	NOUN
cana-1835	195	5	evaluation	evaluation	NOUN
cana-1835	195	6	metrics	metric	NOUN
cana-1835	195	7	estimations	estimation	NOUN
cana-1835	195	8	of	of	ADP
cana-1835	195	9	diagnostic	diagnostic	ADJ
cana-1835	195	10	accuracy	accuracy	NOUN
cana-1835	195	11	are	be	AUX
cana-1835	195	12	quite	quite	ADV
cana-1835	195	13	vulnerable	vulnerable	ADJ
cana-1835	195	14	to	to	ADP
cana-1835	195	15	hypertension	hypertension	NOUN
cana-1835	195	16	system	system	NOUN
cana-1835	195	17	to	to	PART
cana-1835	195	18	detect	detect	VERB
cana-1835	195	19	configuration	configuration	NOUN
cana-1835	195	20	.	.	PUNCT
cana-1835	196	1	.however	.however	X
cana-1835	196	2	,	,	PUNCT
cana-1835	196	3	a	a	DET
cana-1835	196	4	lot	lot	NOUN
cana-1835	196	5	more	more	ADJ
cana-1835	196	6	analytical	analytical	ADJ
cana-1835	196	7	problems	problem	NOUN
cana-1835	196	8	contribute	contribute	VERB
cana-1835	196	9	either	either	CCONJ
cana-1835	196	10	to	to	PART
cana-1835	196	11	overstatement	overstatement	VERB
cana-1835	196	12	or	or	CCONJ
cana-1835	196	13	overestimate	overestimate	NOUN
cana-1835	196	14	,	,	PUNCT
cana-1835	196	15	which	which	PRON
cana-1835	196	16	decreases	decrease	VERB
cana-1835	196	17	the	the	DET
cana-1835	196	18	probability	probability	NOUN
cana-1835	196	19	that	that	SCONJ
cana-1835	196	20	now	now	ADV
cana-1835	196	21	the	the	DET
cana-1835	196	22	results	result	NOUN
cana-1835	196	23	would	would	AUX
cana-1835	196	24	've	've	AUX
cana-1835	196	25	been	be	AUX
cana-1835	196	26	applicable	applicable	ADJ
cana-1835	196	27	.	.	PUNCT
cana-1835	197	1	the	the	DET
cana-1835	197	2	algorithm	algorithm	NOUN
cana-1835	197	3	below	below	ADV
cana-1835	197	4	may	may	AUX
cana-1835	197	5	be	be	AUX
cana-1835	197	6	employed	employ	VERB
cana-1835	197	7	to	to	PART
cana-1835	197	8	determine	determine	VERB
cana-1835	197	9	the	the	DET
cana-1835	197	10	effect	effect	NOUN
cana-1835	197	11	of	of	ADP
cana-1835	197	12	glaucoma	glaucoma	NOUN
cana-1835	197	13	detecting	detect	VERB
cana-1835	197	14	design	design	NOUN
cana-1835	197	15	on	on	ADP
cana-1835	197	16	estimates	estimate	NOUN
cana-1835	197	17	of	of	ADP
cana-1835	197	18	diagnostic	diagnostic	ADJ
cana-1835	197	19	performance	performance	NOUN
cana-1835	197	20	.	.	PUNCT
cana-1835	198	1	𝐺𝐷𝑎𝑐𝑐	𝐺𝐷𝑎𝑐𝑐	PROPN
cana-1835	198	2	=	=	PUNCT
cana-1835	198	3	∑	∑	PUNCT
cana-1835	198	4	𝑅𝐼𝐶𝐷	𝑅𝐼𝐶𝐷	PROPN
cana-1835	198	5	𝑅𝐼𝑖	𝑅𝐼𝑖	NOUN
cana-1835	198	6	∗	∗	VERB
cana-1835	198	7	100𝑛	100𝑛	NOUN
cana-1835	198	8	𝑖=1	𝑖=1	PUNCT
cana-1835	198	9	(	(	PUNCT
cana-1835	198	10	18	18	NUM
cana-1835	198	11	)	)	PUNCT
cana-1835	198	12	thus	thus	ADV
cana-1835	198	13	according	accord	VERB
cana-1835	198	14	expression	expression	NOUN
cana-1835	198	15	(	(	PUNCT
cana-1835	198	16	18	18	NUM
cana-1835	198	17	)	)	PUNCT
cana-1835	198	18	,	,	PUNCT
cana-1835	198	19	the	the	DET
cana-1835	198	20	reliability	reliability	NOUN
cana-1835	198	21	of	of	ADP
cana-1835	198	22	ophthalmology	ophthalmology	NOUN
cana-1835	198	23	prediction	prediction	NOUN
cana-1835	198	24	is	be	AUX
cana-1835	198	25	evaluated	evaluate	VERB
cana-1835	198	26	by	by	ADP
cana-1835	198	27	classifying	classify	VERB
cana-1835	198	28	correctly	correctly	ADV
cana-1835	198	29	identified	identify	VERB
cana-1835	198	30	retinal	retinal	ADJ
cana-1835	198	31	blood	blood	NOUN
cana-1835	198	32	vessels	vessel	NOUN
cana-1835	198	33	(	(	PUNCT
cana-1835	198	34	ri	ri	PROPN
cana-1835	198	35	cd	cd	PROPN
cana-1835	198	36	)	)	PUNCT
cana-1835	198	37	as	as	ADV
cana-1835	198	38	healthy	healthy	ADJ
cana-1835	198	39	,	,	PUNCT
cana-1835	198	40	agc	agc	PROPN
cana-1835	198	41	,	,	PUNCT
cana-1835	198	42	dme	dme	PROPN
cana-1835	198	43	,	,	PUNCT
cana-1835	198	44	and	and	CCONJ
cana-1835	198	45	combination	combination	NOUN
cana-1835	198	46	of	of	ADP
cana-1835	198	47	chemical	chemical	NOUN
cana-1835	198	48	according	accord	VERB
cana-1835	198	49	to	to	ADP
cana-1835	198	50	testing	testing	NOUN
cana-1835	198	51	retina	retina	NOUN
cana-1835	198	52	source	source	NOUN
cana-1835	198	53	images	image	NOUN
cana-1835	198	54	(	(	PUNCT
cana-1835	198	55	ri	ri	NOUN
cana-1835	198	56	i	i	NOUN
cana-1835	198	57	)	)	PUNCT
cana-1835	198	58	employed	employ	VERB
cana-1835	198	59	for	for	ADP
cana-1835	198	60	modeling	modeling	NOUN
cana-1835	198	61	.	.	PUNCT
cana-1835	199	1	the	the	DET
cana-1835	199	2	reliability	reliability	NOUN
cana-1835	199	3	of	of	ADP
cana-1835	199	4	disease	disease	NOUN
cana-1835	199	5	prediction	prediction	NOUN
cana-1835	199	6	employing	employ	VERB
cana-1835	199	7	the	the	DET
cana-1835	199	8	three	three	NUM
cana-1835	199	9	different	different	ADJ
cana-1835	199	10	approaches	approach	NOUN
cana-1835	199	11	,	,	PUNCT
cana-1835	199	12	assembler	assembler	NOUN
cana-1835	199	13	,	,	PUNCT
cana-1835	199	14	difference	difference	NOUN
cana-1835	199	15	between	between	ADP
cana-1835	199	16	two	two	NUM
cana-1835	199	17	points	point	NOUN
cana-1835	199	18	[	[	X
cana-1835	199	19	1	1	NUM
cana-1835	199	20	]	]	PUNCT
cana-1835	199	21	,	,	PUNCT
cana-1835	199	22	and	and	CCONJ
cana-1835	199	23	convolution	convolution	NOUN
cana-1835	199	24	[	[	X
cana-1835	199	25	2	2	NUM
cana-1835	199	26	]	]	PUNCT
cana-1835	199	27	,	,	PUNCT
cana-1835	199	28	is	be	AUX
cana-1835	199	29	shown	show	VERB
cana-1835	199	30	in	in	ADP
cana-1835	199	31	table	table	NOUN
cana-1835	199	32	2	2	NUM
cana-1835	199	33	below	below	ADV
cana-1835	199	34	.	.	PUNCT
cana-1835	200	1	table	table	NOUN
cana-1835	200	2	2	2	NUM
cana-1835	200	3	asm	asm	NOUN
cana-1835	200	4	-	-	NOUN
cana-1835	200	5	hsnl	hsnl	PROPN
cana-1835	200	6	,	,	PUNCT
cana-1835	200	7	mfv	mfv	PROPN
cana-1835	200	8	-	-	PUNCT
cana-1835	200	9	dbn	dbn	NOUN
cana-1835	200	10	,	,	PUNCT
cana-1835	200	11	and	and	CCONJ
cana-1835	200	12	clahe	clahe	NOUN
cana-1835	200	13	are	be	AUX
cana-1835	200	14	tabulated	tabulate	VERB
cana-1835	200	15	.	.	PUNCT
cana-1835	201	1	sample	sample	NOUN
cana-1835	201	2	retinal	retinal	ADJ
cana-1835	201	3	image	image	NOUN
cana-1835	201	4	glaucoma	glaucoma	NOUN
cana-1835	201	5	detection	detection	NOUN
cana-1835	201	6	accuracy	accuracy	NOUN
cana-1835	201	7	(	(	PUNCT
cana-1835	201	8	%	%	INTJ
cana-1835	201	9	)	)	PUNCT
cana-1835	201	10	asm	asm	NOUN
cana-1835	201	11	-	-	PUNCT
cana-1835	201	12	hsml	hsml	NOUN
cana-1835	201	13	mfv	mfv	PROPN
cana-1835	201	14	-	-	PUNCT
cana-1835	201	15	dbn	dbn	PROPN
cana-1835	201	16	clahe	clahe	PROPN
cana-1835	201	17	500	500	NUM
cana-1835	201	18	96	96	NUM
cana-1835	201	19	94	94	NUM
cana-1835	201	20	91	91	NUM
cana-1835	201	21	1000	1000	NUM
cana-1835	201	22	94.55	94.55	NUM
cana-1835	201	23	91.85	91.85	NUM
cana-1835	201	24	89.15	89.15	NUM
cana-1835	201	25	1500	1500	NUM
cana-1835	201	26	91.35	91.35	NUM
cana-1835	201	27	89.15	89.15	NUM
cana-1835	201	28	88.55	88.55	NUM
cana-1835	201	29	2000	2000	NUM
cana-1835	201	30	90.85	90.85	NUM
cana-1835	201	31	88.35	88.35	NUM
cana-1835	201	32	86.25	86.25	NUM
cana-1835	201	33	2500	2500	NUM
cana-1835	201	34	89.35	89.35	NUM
cana-1835	201	35	87.15	87.15	NUM
cana-1835	201	36	85.45	85.45	NUM
cana-1835	201	37	3000	3000	NUM
cana-1835	201	38	89	89	NUM
cana-1835	201	39	85	85	NUM
cana-1835	201	40	83.15	83.15	NUM
cana-1835	201	41	3500	3500	NUM
cana-1835	201	42	88.45	88.45	NUM
cana-1835	201	43	84.35	84.35	NUM
cana-1835	201	44	82	82	NUM
cana-1835	201	45	4000	4000	NUM
cana-1835	201	46	88	88	NUM
cana-1835	201	47	82.15	82.15	NUM
cana-1835	201	48	81.15	81.15	NUM
cana-1835	201	49	4500	4500	NUM
cana-1835	201	50	87.35	87.35	NUM
cana-1835	201	51	81.55	81.55	NUM
cana-1835	201	52	80	80	NUM
cana-1835	201	53	500	500	NUM
cana-1835	201	54	87.15	87.15	NUM
cana-1835	201	55	80	80	NUM
cana-1835	201	56	79.55	79.55	NUM
cana-1835	201	57	communications	communication	NOUN
cana-1835	201	58	on	on	ADP
cana-1835	201	59	applied	apply	VERB
cana-1835	201	60	nonlinear	nonlinear	ADJ
cana-1835	201	61	analysis	analysis	NOUN
cana-1835	201	62	issn	issn	NOUN
cana-1835	201	63	:	:	PUNCT
cana-1835	201	64	1074	1074	NUM
cana-1835	201	65	-	-	PUNCT
cana-1835	201	66	133x	133x	NUM
cana-1835	201	67	vol	vol	NOUN
cana-1835	201	68	32	32	NUM
cana-1835	201	69	no	no	NOUN
cana-1835	201	70	.	.	NOUN
cana-1835	201	71	2	2	NUM
cana-1835	201	72	(	(	PUNCT
cana-1835	201	73	2025	2025	NUM
cana-1835	201	74	)	)	PUNCT
cana-1835	201	75	606	606	NUM
cana-1835	201	76	https://internationalpubls.com	https://internationalpubls.com	X
cana-1835	201	77	figure	figure	NOUN
cana-1835	201	78	5	5	NUM
cana-1835	201	79	accuracy	accuracy	NOUN
cana-1835	201	80	of	of	ADP
cana-1835	201	81	glaucoma	glaucoma	NOUN
cana-1835	201	82	detection	detection	NOUN
cana-1835	201	83	compared	compare	VERB
cana-1835	201	84	to	to	ADP
cana-1835	201	85	a	a	DET
cana-1835	201	86	sample	sample	NOUN
cana-1835	201	87	retinal	retinal	ADJ
cana-1835	201	88	picture	picture	NOUN
cana-1835	201	89	in	in	ADP
cana-1835	201	90	accordance	accordance	NOUN
cana-1835	201	91	with	with	ADP
cana-1835	201	92	the	the	DET
cana-1835	201	93	experimental	experimental	ADJ
cana-1835	201	94	sample	sample	NOUN
cana-1835	201	95	retina	retina	NOUN
cana-1835	201	96	images	image	NOUN
cana-1835	201	97	,	,	PUNCT
cana-1835	201	98	which	which	PRON
cana-1835	201	99	have	have	AUX
cana-1835	201	100	been	be	AUX
cana-1835	201	101	separated	separate	VERB
cana-1835	201	102	into	into	ADP
cana-1835	201	103	four	four	NUM
cana-1835	201	104	categories	category	NOUN
cana-1835	201	105	and	and	CCONJ
cana-1835	201	106	categorized	categorize	VERB
cana-1835	201	107	as	as	ADP
cana-1835	201	108	being	be	AUX
cana-1835	201	109	either	either	ADV
cana-1835	201	110	diseased	disease	VERB
cana-1835	201	111	as	as	ADV
cana-1835	201	112	well	well	ADV
cana-1835	201	113	as	as	ADP
cana-1835	201	114	healthy	healthy	ADJ
cana-1835	201	115	using	use	VERB
cana-1835	201	116	a	a	DET
cana-1835	201	117	randomization	randomization	NOUN
cana-1835	201	118	individual	individual	ADJ
cana-1835	201	119	identification	identification	NOUN
cana-1835	201	120	,	,	PUNCT
cana-1835	201	121	figure	figure	NOUN
cana-1835	201	122	5	5	NUM
cana-1835	201	123	above	above	ADV
cana-1835	201	124	illustrates	illustrate	VERB
cana-1835	201	125	the	the	DET
cana-1835	201	126	correctness	correctness	NOUN
cana-1835	201	127	of	of	ADP
cana-1835	201	128	ophthalmology	ophthalmology	NOUN
cana-1835	201	129	detection	detection	NOUN
cana-1835	201	130	.	.	PUNCT
cana-1835	202	1	the	the	DET
cana-1835	202	2	efficiency	efficiency	NOUN
cana-1835	202	3	of	of	ADP
cana-1835	202	4	ophthalmology	ophthalmology	NOUN
cana-1835	202	5	detection	detection	NOUN
cana-1835	202	6	is	be	AUX
cana-1835	202	7	inversely	inversely	ADV
cana-1835	202	8	correlated	correlate	VERB
cana-1835	202	9	with	with	ADP
cana-1835	202	10	both	both	CCONJ
cana-1835	202	11	the	the	DET
cana-1835	202	12	sample	sample	NOUN
cana-1835	202	13	retinal	retinal	ADJ
cana-1835	202	14	images	image	NOUN
cana-1835	202	15	,	,	PUNCT
cana-1835	202	16	as	as	SCONJ
cana-1835	202	17	shown	show	VERB
cana-1835	202	18	in	in	ADP
cana-1835	202	19	the	the	DET
cana-1835	202	20	figure	figure	NOUN
cana-1835	202	21	.	.	PUNCT
cana-1835	203	1	in	in	ADP
cana-1835	203	2	those	those	DET
cana-1835	203	3	other	other	ADJ
cana-1835	203	4	terms	term	NOUN
cana-1835	203	5	,	,	PUNCT
cana-1835	203	6	raising	raise	VERB
cana-1835	203	7	the	the	DET
cana-1835	203	8	total	total	ADJ
cana-1835	203	9	amount	amount	NOUN
cana-1835	203	10	of	of	ADP
cana-1835	203	11	example	example	NOUN
cana-1835	203	12	retina	retina	NOUN
cana-1835	203	13	pictures	picture	NOUN
cana-1835	203	14	leads	lead	VERB
cana-1835	203	15	in	in	ADP
cana-1835	203	16	a	a	DET
cana-1835	203	17	rise	rise	NOUN
cana-1835	203	18	in	in	ADP
cana-1835	203	19	the	the	DET
cana-1835	203	20	amount	amount	NOUN
cana-1835	203	21	of	of	ADP
cana-1835	203	22	abnormalities	abnormality	NOUN
cana-1835	203	23	therefore	therefore	ADV
cana-1835	203	24	lowers	lower	VERB
cana-1835	203	25	the	the	DET
cana-1835	203	26	overall	overall	ADJ
cana-1835	203	27	accuracy	accuracy	NOUN
cana-1835	203	28	.	.	PUNCT
cana-1835	204	1	regrettably	regrettably	ADV
cana-1835	204	2	,	,	PUNCT
cana-1835	204	3	the	the	PRON
cana-1835	204	4	as	as	ADP
cana-1835	204	5	a	a	DET
cana-1835	204	6	whole	whole	ADJ
cana-1835	204	7	eye	eye	NOUN
cana-1835	204	8	disease	disease	NOUN
cana-1835	204	9	detection	detection	NOUN
cana-1835	204	10	rate	rate	NOUN
cana-1835	204	11	has	have	AUX
cana-1835	204	12	been	be	AUX
cana-1835	204	13	found	find	VERB
cana-1835	204	14	to	to	PART
cana-1835	204	15	just	just	ADV
cana-1835	204	16	be	be	AUX
cana-1835	204	17	96	96	NUM
cana-1835	204	18	%	%	NOUN
cana-1835	204	19	,	,	PUNCT
cana-1835	204	20	94	94	NUM
cana-1835	204	21	%	%	NOUN
cana-1835	204	22	,	,	PUNCT
cana-1835	204	23	and	and	CCONJ
cana-1835	204	24	91	91	NUM
cana-1835	204	25	%	%	NOUN
cana-1835	204	26	including	include	VERB
cana-1835	204	27	both	both	PRON
cana-1835	204	28	for	for	ADP
cana-1835	204	29	different	different	ADJ
cana-1835	204	30	sampling	sampling	NOUN
cana-1835	204	31	experiments	experiment	NOUN
cana-1835	204	32	done	do	VERB
cana-1835	204	33	with	with	ADP
cana-1835	204	34	"	"	PUNCT
cana-1835	204	35	500	500	NUM
cana-1835	204	36	"	"	PUNCT
cana-1835	204	37	number	number	NOUN
cana-1835	204	38	system	system	NOUN
cana-1835	204	39	of	of	ADP
cana-1835	204	40	image	image	NOUN
cana-1835	204	41	data	datum	NOUN
cana-1835	204	42	along	along	ADP
cana-1835	204	43	with	with	ADP
cana-1835	204	44	all	all	DET
cana-1835	204	45	four	four	NUM
cana-1835	204	46	different	different	ADJ
cana-1835	204	47	categories	category	NOUN
cana-1835	204	48	and	and	CCONJ
cana-1835	204	49	"	"	PUNCT
cana-1835	204	50	480	480	NUM
cana-1835	204	51	"	"	PUNCT
cana-1835	204	52	data	datum	NOUN
cana-1835	204	53	points	point	NOUN
cana-1835	204	54	of	of	ADP
cana-1835	204	55	laboratory	laboratory	NOUN
cana-1835	204	56	testing	testing	NOUN
cana-1835	204	57	rectified	rectify	VERB
cana-1835	204	58	detecting	detect	VERB
cana-1835	204	59	in	in	ADP
cana-1835	204	60	accordance	accordance	NOUN
cana-1835	204	61	with	with	ADP
cana-1835	204	62	the	the	DET
cana-1835	204	63	category	category	NOUN
cana-1835	204	64	utilising	utilise	VERB
cana-1835	204	65	assembler	assembler	NOUN
cana-1835	204	66	,	,	PUNCT
cana-1835	204	67	"	"	PUNCT
cana-1835	204	68	470	470	NUM
cana-1835	204	69	"	"	PUNCT
cana-1835	204	70	statistics	statistic	NOUN
cana-1835	204	71	of	of	ADP
cana-1835	204	72	test	test	NOUN
cana-1835	204	73	cases	case	NOUN
cana-1835	204	74	rectified	rectify	VERB
cana-1835	204	75	trying	try	VERB
cana-1835	204	76	to	to	PART
cana-1835	204	77	detect	detect	VERB
cana-1835	204	78	in	in	ADP
cana-1835	204	79	accordance	accordance	NOUN
cana-1835	204	80	with	with	ADP
cana-1835	204	81	the	the	DET
cana-1835	204	82	category	category	NOUN
cana-1835	204	83	using	use	VERB
cana-1835	204	84	difference	difference	NOUN
cana-1835	204	85	between	between	ADP
cana-1835	204	86	two	two	NUM
cana-1835	204	87	points	point	NOUN
cana-1835	204	88	[	[	X
cana-1835	204	89	1	1	NUM
cana-1835	204	90	]	]	PUNCT
cana-1835	204	91	,	,	PUNCT
cana-1835	204	92	and	and	CCONJ
cana-1835	204	93	"	"	PUNCT
cana-1835	204	94	455	455	NUM
cana-1835	204	95	"	"	PUNCT
cana-1835	204	96	numbers	number	NOUN
cana-1835	204	97	of	of	ADP
cana-1835	204	98	test	test	NOUN
cana-1835	204	99	cases	case	NOUN
cana-1835	204	100	tried	try	VERB
cana-1835	204	101	to	to	PART
cana-1835	204	102	correct	correct	VERB
cana-1835	204	103	designed	design	VERB
cana-1835	204	104	to	to	PART
cana-1835	204	105	detect	detect	VERB
cana-1835	204	106	in	in	ADP
cana-1835	204	107	accordance	accordance	NOUN
cana-1835	204	108	with	with	ADP
cana-1835	204	109	the	the	DET
cana-1835	204	110	classification	classification	NOUN
cana-1835	204	111	using	use	VERB
cana-1835	204	112	clahe	clahe	NOUN
cana-1835	205	1	[	[	X
cana-1835	205	2	2	2	NUM
cana-1835	205	3	]	]	PUNCT
cana-1835	205	4	.	.	PUNCT
cana-1835	206	1	from	from	ADP
cana-1835	206	2	this	this	DET
cana-1835	206	3	result	result	NOUN
cana-1835	206	4	,	,	PUNCT
cana-1835	206	5	it	it	PRON
cana-1835	206	6	can	can	AUX
cana-1835	206	7	be	be	AUX
cana-1835	206	8	determined	determine	VERB
cana-1835	206	9	that	that	SCONJ
cana-1835	206	10	assembler	assembler	NOUN
cana-1835	206	11	hsnl	hsnl	PROPN
cana-1835	206	12	's	's	PART
cana-1835	206	13	detection	detection	NOUN
cana-1835	206	14	performance	performance	NOUN
cana-1835	206	15	is	be	AUX
cana-1835	206	16	comparative	comparative	ADJ
cana-1835	206	17	to	to	ADP
cana-1835	206	18	that	that	PRON
cana-1835	206	19	of	of	ADP
cana-1835	206	20	[	[	X
cana-1835	206	21	1	1	NUM
cana-1835	206	22	]	]	PUNCT
cana-1835	206	23	and	and	CCONJ
cana-1835	206	24	[	[	X
cana-1835	206	25	2	2	NUM
cana-1835	206	26	]	]	PUNCT
cana-1835	206	27	.	.	PUNCT
cana-1835	207	1	the	the	DET
cana-1835	207	2	implementation	implementation	NOUN
cana-1835	207	3	of	of	ADP
cana-1835	207	4	the	the	DET
cana-1835	207	5	pure	pure	ADJ
cana-1835	207	6	sine	sine	ADJ
cana-1835	207	7	wave	wave	NOUN
cana-1835	207	8	discontinuous	discontinuous	ADJ
cana-1835	207	9	single	single	ADJ
cana-1835	207	10	input	input	NOUN
cana-1835	207	11	single	single	ADJ
cana-1835	207	12	gaussian	gaussian	NOUN
cana-1835	207	13	extracting	extract	VERB
cana-1835	207	14	features	feature	NOUN
cana-1835	207	15	method	method	NOUN
cana-1835	207	16	is	be	AUX
cana-1835	207	17	the	the	DET
cana-1835	207	18	source	source	NOUN
cana-1835	207	19	of	of	ADP
cana-1835	207	20	the	the	DET
cana-1835	207	21	improvement	improvement	NOUN
cana-1835	207	22	.	.	PUNCT
cana-1835	208	1	through	through	ADP
cana-1835	208	2	this	this	DET
cana-1835	208	3	method	method	NOUN
cana-1835	208	4	,	,	PUNCT
cana-1835	208	5	it	it	PRON
cana-1835	208	6	was	be	AUX
cana-1835	208	7	reported	report	VERB
cana-1835	208	8	that	that	SCONJ
cana-1835	208	9	the	the	DET
cana-1835	208	10	algorithms	algorithm	NOUN
cana-1835	208	11	harmonic	harmonic	VERB
cana-1835	208	12	discontinuous	discontinuous	ADJ
cana-1835	208	13	cosine	cosine	NOUN
cana-1835	208	14	and	and	CCONJ
cana-1835	208	15	stochastic	stochastic	ADJ
cana-1835	208	16	concentration	concentration	NOUN
cana-1835	208	17	were	be	AUX
cana-1835	208	18	employed	employ	VERB
cana-1835	208	19	in	in	ADP
cana-1835	208	20	order	order	NOUN
cana-1835	208	21	to	to	PART
cana-1835	208	22	produce	produce	VERB
cana-1835	208	23	effective	effective	ADJ
cana-1835	208	24	prominent	prominent	ADJ
cana-1835	208	25	extraction	extraction	NOUN
cana-1835	208	26	of	of	ADP
cana-1835	208	27	features	feature	NOUN
cana-1835	208	28	.	.	PUNCT
cana-1835	209	1	this	this	PRON
cana-1835	209	2	resulted	result	VERB
cana-1835	209	3	observed	observe	VERB
cana-1835	209	4	statistically	statistically	ADV
cana-1835	209	5	extracted	extract	VERB
cana-1835	209	6	features	feature	NOUN
cana-1835	209	7	shifting	shift	VERB
cana-1835	209	8	in	in	ADP
cana-1835	209	9	reaction	reaction	NOUN
cana-1835	209	10	to	to	ADP
cana-1835	209	11	abnormalities	abnormality	NOUN
cana-1835	209	12	in	in	ADP
cana-1835	209	13	iris	iris	NOUN
cana-1835	209	14	image	image	NOUN
cana-1835	209	15	,	,	PUNCT
cana-1835	209	16	improving	improve	VERB
cana-1835	209	17	the	the	DET
cana-1835	209	18	assembler	assembler	NOUN
cana-1835	209	19	hsnl	hsnl	PROPN
cana-1835	209	20	's	's	PART
cana-1835	209	21	detection	detection	NOUN
cana-1835	209	22	performance	performance	NOUN
cana-1835	209	23	approximately	approximately	ADV
cana-1835	209	24	5	5	NUM
cana-1835	209	25	%	%	NOUN
cana-1835	209	26	comparing	compare	VERB
cana-1835	209	27	to	to	ADP
cana-1835	209	28	[	[	X
cana-1835	209	29	1	1	NUM
cana-1835	209	30	]	]	PUNCT
cana-1835	209	31	and	and	CCONJ
cana-1835	209	32	7	7	NUM
cana-1835	209	33	%	%	NOUN
cana-1835	209	34	comparable	comparable	ADJ
cana-1835	209	35	to	to	ADP
cana-1835	209	36	[	[	X
cana-1835	209	37	2	2	NUM
cana-1835	209	38	]	]	PUNCT
cana-1835	209	39	.	.	PUNCT
cana-1835	210	1	4.2	4.2	NUM
cana-1835	210	2	performance	performance	NOUN
cana-1835	210	3	measure	measure	NOUN
cana-1835	210	4	of	of	ADP
cana-1835	210	5	sensitivity	sensitivity	NOUN
cana-1835	210	6	responsiveness	responsiveness	NOUN
cana-1835	210	7	is	be	AUX
cana-1835	210	8	a	a	DET
cana-1835	210	9	quantitative	quantitative	ADJ
cana-1835	210	10	word	word	NOUN
cana-1835	210	11	that	that	PRON
cana-1835	210	12	refers	refer	VERB
cana-1835	210	13	to	to	ADP
cana-1835	210	14	very	very	ADV
cana-1835	210	15	well	well	ADV
cana-1835	210	16	how	how	SCONJ
cana-1835	210	17	several	several	ADJ
cana-1835	210	18	category	category	NOUN
cana-1835	210	19	classifications	classification	NOUN
cana-1835	210	20	procedures	procedure	NOUN
cana-1835	210	21	work	work	VERB
cana-1835	210	22	and	and	CCONJ
cana-1835	210	23	therefore	therefore	ADV
cana-1835	210	24	is	be	AUX
cana-1835	210	25	particularly	particularly	ADV
cana-1835	210	26	employed	employ	VERB
cana-1835	210	27	to	to	ADP
cana-1835	210	28	the	the	DET
cana-1835	210	29	disease	disease	NOUN
cana-1835	210	30	diagnosis	diagnosis	NOUN
cana-1835	210	31	.	.	PUNCT
cana-1835	211	1	in	in	ADP
cana-1835	211	2	other	other	ADJ
cana-1835	211	3	respects	respect	NOUN
cana-1835	211	4	,	,	PUNCT
cana-1835	211	5	sensitivity	sensitivity	NOUN
cana-1835	211	6	is	be	AUX
cana-1835	211	7	the	the	DET
cana-1835	211	8	proportion	proportion	NOUN
cana-1835	211	9	of	of	ADP
cana-1835	211	10	positive	positive	ADJ
cana-1835	211	11	instances	instance	NOUN
cana-1835	211	12	which	which	PRON
cana-1835	211	13	are	be	AUX
cana-1835	211	14	properly	properly	ADV
cana-1835	211	15	identified	identify	VERB
cana-1835	211	16	(	(	PUNCT
cana-1835	211	17	for	for	ADP
cana-1835	211	18	instance	instance	NOUN
cana-1835	211	19	,	,	PUNCT
cana-1835	211	20	the	the	DET
cana-1835	211	21	proportion	proportion	NOUN
cana-1835	211	22	of	of	ADP
cana-1835	211	23	individuals	individual	NOUN
cana-1835	211	24	who	who	PRON
cana-1835	211	25	would	would	AUX
cana-1835	211	26	be	be	AUX
cana-1835	211	27	correctly	correctly	ADV
cana-1835	211	28	given	give	VERB
cana-1835	211	29	the	the	DET
cana-1835	211	30	diagnosis	diagnosis	NOUN
cana-1835	211	31	of	of	ADP
cana-1835	211	32	ophthalmology	ophthalmology	NOUN
cana-1835	211	33	without	without	ADP
cana-1835	211	34	really	really	ADV
cana-1835	211	35	have	have	AUX
cana-1835	211	36	vision	vision	NOUN
cana-1835	211	37	)	)	PUNCT
cana-1835	211	38	.	.	PUNCT
cana-1835	212	1	sensitive	sensitive	ADJ
cana-1835	212	2	in	in	ADP
cana-1835	212	3	glaucoma	glaucoma	NOUN
cana-1835	212	4	screening	screening	NOUN
cana-1835	212	5	testing	testing	NOUN
cana-1835	212	6	is	be	AUX
cana-1835	212	7	an	an	DET
cana-1835	212	8	assessment	assessment	NOUN
cana-1835	212	9	that	that	PRON
cana-1835	212	10	indicates	indicate	VERB
cana-1835	212	11	whether	whether	SCONJ
cana-1835	212	12	the	the	DET
cana-1835	212	13	test	test	NOUN
cana-1835	212	14	can	can	AUX
cana-1835	212	15	spot	spot	VERB
cana-1835	212	16	real	real	ADJ
cana-1835	212	17	positive	positive	ADJ
cana-1835	212	18	results	result	NOUN
cana-1835	212	19	.	.	PUNCT
cana-1835	213	1	to	to	PART
cana-1835	213	2	put	put	VERB
cana-1835	213	3	it	it	PRON
cana-1835	213	4	another	another	DET
cana-1835	213	5	way	way	NOUN
cana-1835	213	6	,	,	PUNCT
cana-1835	213	7	a	a	DET
cana-1835	213	8	test	test	NOUN
cana-1835	213	9	with	with	ADP
cana-1835	213	10	a	a	DET
cana-1835	213	11	highly	highly	ADV
cana-1835	213	12	sensitive	sensitive	ADJ
cana-1835	213	13	value	value	NOUN
cana-1835	213	14	properly	properly	ADV
cana-1835	213	15	classifies	classify	VERB
cana-1835	213	16	a	a	DET
cana-1835	213	17	specimen	speciman	NOUN
cana-1835	213	18	retinal	retinal	ADJ
cana-1835	213	19	vision	vision	NOUN
cana-1835	213	20	alone	alone	ADJ
cana-1835	213	21	without	without	ADP
cana-1835	213	22	precondition	precondition	NOUN
cana-1835	213	23	and	and	CCONJ
cana-1835	213	24	positive	positive	ADJ
cana-1835	213	25	frequently	frequently	ADV
cana-1835	213	26	compared	compare	VERB
cana-1835	213	27	to	to	ADP
cana-1835	213	28	a	a	DET
cana-1835	213	29	diagnostic	diagnostic	NOUN
cana-1835	213	30	with	with	ADP
cana-1835	213	31	such	such	DET
cana-1835	213	32	a	a	DET
cana-1835	213	33	reduced	reduce	VERB
cana-1835	213	34	sensitivity	sensitivity	NOUN
cana-1835	213	35	.	.	PUNCT
cana-1835	214	1	the	the	DET
cana-1835	214	2	below	below	NOUN
cana-1835	214	3	is	be	AUX
cana-1835	214	4	the	the	DET
cana-1835	214	5	manner	manner	NOUN
cana-1835	214	6	in	in	ADP
cana-1835	214	7	which	which	PRON
cana-1835	214	8	this	this	PRON
cana-1835	214	9	is	be	AUX
cana-1835	214	10	logically	logically	ADV
cana-1835	214	11	represented	represent	VERB
cana-1835	214	12	.	.	PUNCT
cana-1835	215	1	𝑆𝑒𝑛𝑠𝑖𝑡𝑖𝑣𝑖𝑡𝑦	𝑆𝑒𝑛𝑠𝑖𝑡𝑖𝑣𝑖𝑡𝑦	PROPN
cana-1835	215	2	=	=	PUNCT
cana-1835	215	3	∑	∑	PUNCT
cana-1835	215	4	𝑇𝑃	𝑇𝑃	PROPN
cana-1835	215	5	𝐺𝐷𝑠𝑎𝑚𝑝𝑙𝑒𝑠	𝐺𝐷𝑠𝑎𝑚𝑝𝑙𝑒𝑠	PROPN
cana-1835	215	6	∗	∗	VERB
cana-1835	215	7	100𝑛	100𝑛	NOUN
cana-1835	215	8	𝑖=1	𝑖=1	PUNCT
cana-1835	215	9	(	(	PUNCT
cana-1835	215	10	19	19	NUM
cana-1835	215	11	)	)	PUNCT
cana-1835	215	12	communications	communication	NOUN
cana-1835	215	13	on	on	ADP
cana-1835	215	14	applied	apply	VERB
cana-1835	215	15	nonlinear	nonlinear	ADJ
cana-1835	215	16	analysis	analysis	NOUN
cana-1835	215	17	issn	issn	NOUN
cana-1835	215	18	:	:	PUNCT
cana-1835	215	19	1074	1074	NUM
cana-1835	215	20	-	-	PUNCT
cana-1835	215	21	133x	133x	NUM
cana-1835	215	22	vol	vol	NOUN
cana-1835	215	23	32	32	NUM
cana-1835	215	24	no	no	NOUN
cana-1835	215	25	.	.	NOUN
cana-1835	215	26	2	2	NUM
cana-1835	215	27	(	(	PUNCT
cana-1835	215	28	2025	2025	NUM
cana-1835	215	29	)	)	PUNCT
cana-1835	215	30	607	607	NUM
cana-1835	215	31	https://internationalpubls.com	https://internationalpubls.com	X
cana-1835	216	1	the	the	DET
cana-1835	216	2	percentage	percentage	NOUN
cana-1835	216	3	of	of	ADP
cana-1835	216	4	sensitivities	sensitivity	NOUN
cana-1835	216	5	,	,	PUNCT
cana-1835	216	6	"	"	PUNCT
cana-1835	216	7	responsiveness	responsiveness	NOUN
cana-1835	216	8	,	,	PUNCT
cana-1835	216	9	"	"	PUNCT
cana-1835	216	10	is	be	AUX
cana-1835	216	11	determined	determine	VERB
cana-1835	216	12	using	use	VERB
cana-1835	216	13	equation	equation	NOUN
cana-1835	216	14	(	(	PUNCT
cana-1835	216	15	19	19	NUM
cana-1835	216	16	)	)	PUNCT
cana-1835	216	17	above	above	ADP
cana-1835	216	18	based	base	VERB
cana-1835	216	19	on	on	ADP
cana-1835	216	20	the	the	DET
cana-1835	216	21	positive	positive	ADJ
cana-1835	216	22	instances	instance	NOUN
cana-1835	216	23	,	,	PUNCT
cana-1835	216	24	"	"	PUNCT
cana-1835	216	25	tp	tp	NOUN
cana-1835	216	26	,	,	PUNCT
cana-1835	216	27	"	"	PUNCT
cana-1835	216	28	as	as	ADV
cana-1835	216	29	well	well	ADV
cana-1835	216	30	as	as	ADP
cana-1835	216	31	the	the	DET
cana-1835	216	32	real	real	ADJ
cana-1835	216	33	ophthalmology	ophthalmology	NOUN
cana-1835	216	34	diagnosed	diagnose	VERB
cana-1835	216	35	instances	instance	NOUN
cana-1835	216	36	,	,	PUNCT
cana-1835	216	37	"	"	PUNCT
cana-1835	216	38	gd	gd	NOUN
cana-1835	216	39	samples	sample	NOUN
cana-1835	216	40	.	.	PUNCT
cana-1835	216	41	"	"	PUNCT
cana-1835	217	1	it	it	PRON
cana-1835	217	2	is	be	AUX
cana-1835	217	3	expressed	express	VERB
cana-1835	217	4	in	in	ADP
cana-1835	217	5	percentages	percentage	NOUN
cana-1835	217	6	(	(	PUNCT
cana-1835	217	7	%	%	INTJ
cana-1835	217	8	)	)	PUNCT
cana-1835	217	9	terms	term	NOUN
cana-1835	217	10	.	.	PUNCT
cana-1835	218	1	all	all	DET
cana-1835	218	2	three	three	NUM
cana-1835	218	3	methodologies	methodology	NOUN
cana-1835	218	4	'	'	PART
cana-1835	218	5	susceptibility	susceptibility	NOUN
cana-1835	218	6	is	be	AUX
cana-1835	218	7	shown	show	VERB
cana-1835	218	8	in	in	ADP
cana-1835	218	9	table	table	NOUN
cana-1835	218	10	3	3	NUM
cana-1835	218	11	below	below	ADP
cana-1835	218	12	:	:	PUNCT
cana-1835	218	13	assembler	assembler	NOUN
cana-1835	218	14	,	,	PUNCT
cana-1835	218	15	inclusion	inclusion	NOUN
cana-1835	218	16	[	[	X
cana-1835	218	17	1	1	NUM
cana-1835	218	18	]	]	PUNCT
cana-1835	218	19	as	as	ADV
cana-1835	218	20	well	well	ADV
cana-1835	218	21	as	as	ADP
cana-1835	218	22	clahe	clahe	NOUN
cana-1835	218	23	[	[	X
cana-1835	218	24	2	2	NUM
cana-1835	218	25	]	]	PUNCT
cana-1835	218	26	.	.	PUNCT
cana-1835	219	1	table	table	NOUN
cana-1835	219	2	3	3	NUM
cana-1835	219	3	asm	asm	NOUN
cana-1835	219	4	-	-	NOUN
cana-1835	219	5	hsnl	hsnl	PROPN
cana-1835	219	6	,	,	PUNCT
cana-1835	219	7	mfv	mfv	PROPN
cana-1835	219	8	-	-	PUNCT
cana-1835	219	9	dbn	dbn	NOUN
cana-1835	219	10	,	,	PUNCT
cana-1835	219	11	and	and	CCONJ
cana-1835	219	12	clahe	clahe	NOUN
cana-1835	219	13	are	be	AUX
cana-1835	219	14	tabulated	tabulate	VERB
cana-1835	219	15	.	.	PUNCT
cana-1835	220	1	sample	sample	NOUN
cana-1835	220	2	retinal	retinal	ADJ
cana-1835	220	3	image	image	NOUN
cana-1835	220	4	sensitivity	sensitivity	NOUN
cana-1835	220	5	(	(	PUNCT
cana-1835	220	6	%	%	INTJ
cana-1835	220	7	)	)	PUNCT
cana-1835	220	8	asm	asm	NOUN
cana-1835	220	9	-	-	PUNCT
cana-1835	220	10	hsml	hsml	NOUN
cana-1835	220	11	mfv	mfv	PROPN
cana-1835	220	12	-	-	PUNCT
cana-1835	220	13	dbn	dbn	PROPN
cana-1835	220	14	clahe	clahe	PROPN
cana-1835	220	15	500	500	NUM
cana-1835	220	16	86.36	86.36	NUM
cana-1835	220	17	81.81	81.81	NUM
cana-1835	220	18	77.27	77.27	NUM
cana-1835	220	19	1000	1000	NUM
cana-1835	220	20	85.25	85.25	NUM
cana-1835	220	21	80.25	80.25	NUM
cana-1835	220	22	75.35	75.35	NUM
cana-1835	220	23	1500	1500	NUM
cana-1835	220	24	84.15	84.15	NUM
cana-1835	220	25	80	80	NUM
cana-1835	220	26	75.15	75.15	NUM
cana-1835	220	27	2000	2000	NUM
cana-1835	220	28	83.25	83.25	NUM
cana-1835	220	29	79.15	79.15	NUM
cana-1835	220	30	75	75	NUM
cana-1835	220	31	2500	2500	NUM
cana-1835	220	32	82.85	82.85	NUM
cana-1835	220	33	79	79	NUM
cana-1835	220	34	74.75	74.75	NUM
cana-1835	220	35	3000	3000	NUM
cana-1835	220	36	81	81	NUM
cana-1835	220	37	77.85	77.85	NUM
cana-1835	220	38	74.35	74.35	NUM
cana-1835	220	39	3500	3500	NUM
cana-1835	220	40	80.45	80.45	NUM
cana-1835	220	41	77.35	77.35	NUM
cana-1835	220	42	74.15	74.15	NUM
cana-1835	220	43	4000	4000	NUM
cana-1835	220	44	80.25	80.25	NUM
cana-1835	220	45	77	77	NUM
cana-1835	220	46	74	74	NUM
cana-1835	220	47	4500	4500	NUM
cana-1835	220	48	80	80	NUM
cana-1835	220	49	76.15	76.15	NUM
cana-1835	220	50	73.25	73.25	NUM
cana-1835	220	51	5000	5000	NUM
cana-1835	220	52	79.15	79.15	NUM
cana-1835	220	53	75.25	75.25	NUM
cana-1835	220	54	73	73	NUM
cana-1835	220	55	figure	figure	NOUN
cana-1835	220	56	6	6	NUM
cana-1835	220	57	sample	sample	NOUN
cana-1835	220	58	retinal	retinal	ADJ
cana-1835	220	59	images	image	NOUN
cana-1835	220	60	versus	versus	ADP
cana-1835	220	61	sensitivity	sensitivity	NOUN
cana-1835	220	62	finally	finally	ADV
cana-1835	220	63	and	and	CCONJ
cana-1835	220	64	not	not	PART
cana-1835	220	65	most	most	ADJ
cana-1835	220	66	,	,	PUNCT
cana-1835	220	67	figure	figure	VERB
cana-1835	220	68	6	6	NUM
cana-1835	220	69	above	above	ADV
cana-1835	220	70	shows	show	VERB
cana-1835	220	71	the	the	DET
cana-1835	220	72	responsiveness	responsiveness	NOUN
cana-1835	220	73	rate	rate	NOUN
cana-1835	220	74	in	in	ADP
cana-1835	220	75	relationship	relationship	NOUN
cana-1835	220	76	to	to	ADP
cana-1835	220	77	5,000	5,000	NUM
cana-1835	220	78	samples	sample	NOUN
cana-1835	220	79	retinal	retinal	ADJ
cana-1835	220	80	images	image	NOUN
cana-1835	220	81	taken	take	VERB
cana-1835	220	82	by	by	ADP
cana-1835	220	83	different	different	ADJ
cana-1835	220	84	patients	patient	NOUN
cana-1835	220	85	at	at	ADP
cana-1835	220	86	distinct	distinct	ADJ
cana-1835	220	87	periods	period	NOUN
cana-1835	220	88	throughout	throughout	ADP
cana-1835	220	89	the	the	DET
cana-1835	220	90	course	course	NOUN
cana-1835	220	91	of	of	ADP
cana-1835	220	92	2017	2017	NUM
cana-1835	220	93	.	.	PUNCT
cana-1835	221	1	the	the	DET
cana-1835	221	2	graph	graph	NOUN
cana-1835	221	3	suggests	suggest	VERB
cana-1835	221	4	that	that	SCONJ
cana-1835	221	5	when	when	SCONJ
cana-1835	221	6	numerous	numerous	ADJ
cana-1835	221	7	sample	sample	NOUN
cana-1835	221	8	mri	mri	NOUN
cana-1835	221	9	scans	scan	NOUN
cana-1835	221	10	are	be	AUX
cana-1835	221	11	used	use	VERB
cana-1835	221	12	,	,	PUNCT
cana-1835	221	13	the	the	DET
cana-1835	221	14	quality	quality	NOUN
cana-1835	221	15	measures	measure	NOUN
cana-1835	221	16	falls	fall	VERB
cana-1835	221	17	.	.	PUNCT
cana-1835	222	1	even	even	ADV
cana-1835	222	2	so	so	ADV
cana-1835	222	3	,	,	PUNCT
cana-1835	222	4	the	the	DET
cana-1835	222	5	overarching	overarching	ADJ
cana-1835	222	6	frequency	frequency	NOUN
cana-1835	222	7	response	response	NOUN
cana-1835	222	8	rate	rate	NOUN
cana-1835	222	9	was	be	AUX
cana-1835	222	10	discovered	discover	VERB
cana-1835	222	11	to	to	PART
cana-1835	222	12	be	be	AUX
cana-1835	222	13	'	'	NUM
cana-1835	222	14	86.36	86.36	NUM
cana-1835	222	15	%	%	NOUN
cana-1835	222	16	'	'	PUNCT
cana-1835	222	17	,	,	PUNCT
cana-1835	222	18	'	'	PUNCT
cana-1835	222	19	81.81	81.81	NUM
cana-1835	222	20	%	%	NOUN
cana-1835	222	21	'	'	PUNCT
cana-1835	222	22	,	,	PUNCT
cana-1835	222	23	as	as	ADV
cana-1835	222	24	well	well	ADV
cana-1835	222	25	as	as	ADP
cana-1835	222	26	'	'	NUM
cana-1835	222	27	77.27	77.27	NUM
cana-1835	222	28	%	%	NOUN
cana-1835	222	29	'	'	PUNCT
cana-1835	222	30	including	include	VERB
cana-1835	222	31	both	both	PRON
cana-1835	222	32	with	with	ADP
cana-1835	222	33	'	'	NUM
cana-1835	222	34	500	500	NUM
cana-1835	222	35	'	'	PART
cana-1835	222	36	number	number	NOUN
cana-1835	222	37	of	of	ADP
cana-1835	222	38	inhabitants	inhabitant	NOUN
cana-1835	222	39	regarded	regard	VERB
cana-1835	222	40	for	for	ADP
cana-1835	222	41	checking	check	VERB
cana-1835	222	42	and	and	CCONJ
cana-1835	222	43	'	'	PUNCT
cana-1835	222	44	110	110	NUM
cana-1835	222	45	'	'	PART
cana-1835	222	46	individuals	individual	NOUN
cana-1835	222	47	who	who	PRON
cana-1835	222	48	were	be	AUX
cana-1835	222	49	genuinely	genuinely	ADV
cana-1835	222	50	discovered	discover	VERB
cana-1835	222	51	to	to	ADP
cana-1835	222	52	eye	eye	NOUN
cana-1835	222	53	problems	problem	NOUN
cana-1835	222	54	and	and	CCONJ
cana-1835	222	55	'	'	PUNCT
cana-1835	222	56	95	95	NUM
cana-1835	222	57	'	'	PUNCT
cana-1835	222	58	becoming	become	VERB
cana-1835	222	59	the	the	DET
cana-1835	222	60	rate	rate	NOUN
cana-1835	222	61	of	of	ADP
cana-1835	222	62	true	true	ADJ
cana-1835	222	63	positives	positive	NOUN
cana-1835	222	64	using	use	VERB
cana-1835	222	65	asmhsnl	asmhsnl	NOUN
cana-1835	222	66	,	,	PUNCT
cana-1835	222	67	'	'	PUNCT
cana-1835	222	68	90	90	NUM
cana-1835	222	69	'	'	PUNCT
cana-1835	222	70	becoming	become	VERB
cana-1835	222	71	the	the	DET
cana-1835	222	72	rate	rate	NOUN
cana-1835	222	73	of	of	ADP
cana-1835	222	74	true	true	ADJ
cana-1835	222	75	positives	positive	NOUN
cana-1835	222	76	using	use	VERB
cana-1835	222	77	mfv	mfv	PROPN
cana-1835	222	78	-	-	NOUN
cana-1835	222	79	dbn	dbn	NOUN
cana-1835	223	1	[	[	X
cana-1835	223	2	1	1	NUM
cana-1835	223	3	]	]	PUNCT
cana-1835	223	4	,	,	PUNCT
cana-1835	223	5	and	and	CCONJ
cana-1835	223	6	'	'	PUNCT
cana-1835	223	7	85	85	NUM
cana-1835	223	8	'	'	PUNCT
cana-1835	223	9	being	be	AUX
cana-1835	223	10	the	the	DET
cana-1835	223	11	rate	rate	NOUN
cana-1835	223	12	of	of	ADP
cana-1835	223	13	true	true	ADJ
cana-1835	223	14	positives	positive	NOUN
cana-1835	223	15	utilising	utilise	VERB
cana-1835	223	16	clahe	clahe	NOUN
cana-1835	224	1	[	[	X
cana-1835	224	2	2	2	NUM
cana-1835	224	3	]	]	PUNCT
cana-1835	224	4	.	.	PUNCT
cana-1835	225	1	the	the	DET
cana-1835	225	2	application	application	NOUN
cana-1835	225	3	of	of	ADP
cana-1835	225	4	the	the	DET
cana-1835	225	5	inter	inter	ADJ
cana-1835	225	6	linear	linear	NOUN
cana-1835	225	7	hinged	hinge	VERB
cana-1835	225	8	vector	vector	NOUN
cana-1835	225	9	support	support	NOUN
cana-1835	225	10	ophthalmology	ophthalmology	NOUN
cana-1835	225	11	detection	detection	NOUN
cana-1835	225	12	algorithm	algorithm	NOUN
cana-1835	225	13	is	be	AUX
cana-1835	225	14	just	just	ADV
cana-1835	225	15	what	what	PRON
cana-1835	225	16	generated	generate	VERB
cana-1835	225	17	the	the	DET
cana-1835	225	18	improvements	improvement	NOUN
cana-1835	225	19	.	.	PUNCT
cana-1835	226	1	in	in	ADP
cana-1835	226	2	recognition	recognition	NOUN
cana-1835	226	3	of	of	ADP
cana-1835	226	4	the	the	DET
cana-1835	226	5	benefits	benefit	NOUN
cana-1835	226	6	of	of	ADP
cana-1835	226	7	concurrently	concurrently	ADV
cana-1835	226	8	training	train	VERB
cana-1835	226	9	numerous	numerous	ADJ
cana-1835	226	10	svm	svm	ADJ
cana-1835	226	11	classifier	classifier	NOUN
cana-1835	226	12	,	,	PUNCT
cana-1835	226	13	the	the	DET
cana-1835	226	14	technique	technique	NOUN
cana-1835	226	15	is	be	AUX
cana-1835	226	16	applicable	applicable	ADJ
cana-1835	226	17	two	two	NUM
cana-1835	226	18	main	main	ADJ
cana-1835	226	19	functions	function	NOUN
cana-1835	226	20	stochastic	stochastic	ADJ
cana-1835	226	21	optimization	optimization	NOUN
cana-1835	226	22	and	and	CCONJ
cana-1835	226	23	hinges	hinge	VERB
cana-1835	226	24	losses	loss	NOUN
cana-1835	226	25	to	to	ADP
cana-1835	226	26	the	the	DET
cana-1835	226	27	significant	significant	ADJ
cana-1835	226	28	features	feature	NOUN
cana-1835	226	29	that	that	PRON
cana-1835	226	30	were	be	AUX
cana-1835	226	31	already	already	ADV
cana-1835	226	32	collected	collect	VERB
cana-1835	226	33	.	.	PUNCT
cana-1835	227	1	as	as	ADP
cana-1835	227	2	an	an	DET
cana-1835	227	3	outcome	outcome	NOUN
cana-1835	227	4	,	,	PUNCT
cana-1835	227	5	the	the	DET
cana-1835	227	6	tolerances	tolerance	NOUN
cana-1835	227	7	from	from	ADP
cana-1835	227	8	each	each	DET
cana-1835	227	9	method	method	NOUN
cana-1835	227	10	to	to	ADP
cana-1835	227	11	the	the	DET
cana-1835	227	12	other	other	ADJ
cana-1835	227	13	class	class	NOUN
cana-1835	227	14	are	be	AUX
cana-1835	227	15	increased	increase	VERB
cana-1835	227	16	,	,	PUNCT
cana-1835	227	17	which	which	PRON
cana-1835	227	18	improves	improve	VERB
cana-1835	227	19	sensitivity	sensitivity	NOUN
cana-1835	227	20	by	by	ADP
cana-1835	227	21	5	5	NUM
cana-1835	227	22	%	%	NOUN
cana-1835	227	23	comparing	compare	VERB
cana-1835	227	24	to	to	ADP
cana-1835	227	25	[	[	X
cana-1835	227	26	1	1	NUM
cana-1835	227	27	]	]	PUNCT
cana-1835	227	28	as	as	ADV
cana-1835	227	29	well	well	ADV
cana-1835	227	30	as	as	ADP
cana-1835	227	31	10	10	NUM
cana-1835	227	32	%	%	NOUN
cana-1835	227	33	comparable	comparable	ADJ
cana-1835	227	34	to	to	ADP
cana-1835	227	35	[	[	X
cana-1835	227	36	2	2	X
cana-1835	227	37	]	]	PUNCT
cana-1835	227	38	when	when	SCONJ
cana-1835	227	39	employing	employ	VERB
cana-1835	227	40	asm	asm	NOUN
cana-1835	227	41	-	-	NOUN
cana-1835	227	42	hsnl	hsnl	NOUN
cana-1835	227	43	.	.	PUNCT
cana-1835	228	1	communications	communication	NOUN
cana-1835	228	2	on	on	ADP
cana-1835	228	3	applied	apply	VERB
cana-1835	228	4	nonlinear	nonlinear	ADJ
cana-1835	228	5	analysis	analysis	NOUN
cana-1835	228	6	issn	issn	NOUN
cana-1835	228	7	:	:	PUNCT
cana-1835	228	8	1074	1074	NUM
cana-1835	228	9	-	-	PUNCT
cana-1835	228	10	133x	133x	NUM
cana-1835	228	11	vol	vol	NOUN
cana-1835	228	12	32	32	NUM
cana-1835	228	13	no	no	NOUN
cana-1835	228	14	.	.	NOUN
cana-1835	228	15	2	2	NUM
cana-1835	228	16	(	(	PUNCT
cana-1835	228	17	2025	2025	NUM
cana-1835	228	18	)	)	PUNCT
cana-1835	228	19	608	608	NUM
cana-1835	228	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-1835	228	21	conclusion	conclusion	NOUN
cana-1835	228	22	in	in	ADP
cana-1835	228	23	the	the	DET
cana-1835	228	24	investigation	investigation	NOUN
cana-1835	228	25	,	,	PUNCT
cana-1835	228	26	the	the	DET
cana-1835	228	27	evaluation	evaluation	NOUN
cana-1835	228	28	of	of	ADP
cana-1835	228	29	ophthalmology	ophthalmology	NOUN
cana-1835	228	30	detection	detection	NOUN
cana-1835	228	31	through	through	ADP
cana-1835	228	32	retina	retina	NOUN
cana-1835	228	33	optic	optic	ADJ
cana-1835	228	34	coherent	coherent	ADJ
cana-1835	228	35	ultrasonography	ultrasonography	NOUN
cana-1835	228	36	(	(	PUNCT
cana-1835	228	37	oct	oct	NOUN
cana-1835	228	38	)	)	PUNCT
cana-1835	228	39	images	image	NOUN
cana-1835	228	40	has	have	AUX
cana-1835	228	41	indeed	indeed	ADV
cana-1835	228	42	been	be	AUX
cana-1835	228	43	proposed	propose	VERB
cana-1835	228	44	using	use	VERB
cana-1835	228	45	angular	angular	ADJ
cana-1835	228	46	sine	sine	ADJ
cana-1835	228	47	wave	wave	NOUN
cana-1835	228	48	mega	mega	PROPN
cana-1835	228	49	hinged	hinge	VERB
cana-1835	228	50	supporting	support	VERB
cana-1835	228	51	deep	deep	ADJ
cana-1835	228	52	learning	learning	NOUN
cana-1835	228	53	(	(	PUNCT
cana-1835	228	54	asm	asm	NOUN
cana-1835	228	55	-	-	PUNCT
cana-1835	228	56	hsml	hsml	NOUN
cana-1835	228	57	)	)	PUNCT
cana-1835	228	58	.	.	PUNCT
cana-1835	229	1	to	to	PART
cana-1835	229	2	identify	identify	VERB
cana-1835	229	3	neighboring	neighboring	NOUN
cana-1835	229	4	pixels	pixel	NOUN
cana-1835	229	5	values	value	NOUN
cana-1835	229	6	and	and	CCONJ
cana-1835	229	7	local	local	ADJ
cana-1835	229	8	directional	directional	ADJ
cana-1835	229	9	locations	location	NOUN
cana-1835	229	10	,	,	PUNCT
cana-1835	229	11	the	the	DET
cana-1835	229	12	oct	oct	NOUN
cana-1835	229	13	images	image	NOUN
cana-1835	229	14	are	be	AUX
cana-1835	229	15	first	first	ADV
cana-1835	229	16	normalised	normalise	VERB
cana-1835	229	17	using	use	VERB
cana-1835	229	18	a	a	DET
cana-1835	229	19	wedge	wedge	NOUN
cana-1835	229	20	shaped	shape	VERB
cana-1835	229	21	binary	binary	ADJ
cana-1835	229	22	pattern	pattern	NOUN
cana-1835	229	23	(	(	PUNCT
cana-1835	229	24	lbp	lbp	PROPN
cana-1835	229	25	preprocessor	preprocessor	PROPN
cana-1835	229	26	.	.	PUNCT
cana-1835	230	1	the	the	DET
cana-1835	230	2	pure	pure	ADJ
cana-1835	230	3	sine	sine	ADJ
cana-1835	230	4	wave	wave	NOUN
cana-1835	230	5	discrete	discrete	ADJ
cana-1835	230	6	single	single	ADJ
cana-1835	230	7	input	input	NOUN
cana-1835	230	8	single	single	ADJ
cana-1835	230	9	probabilistic	probabilistic	ADJ
cana-1835	230	10	extracting	extracting	NOUN
cana-1835	230	11	features	feature	NOUN
cana-1835	230	12	model	model	NOUN
cana-1835	230	13	would	would	AUX
cana-1835	230	14	then	then	ADV
cana-1835	230	15	be	be	AUX
cana-1835	230	16	given	give	VERB
cana-1835	230	17	the	the	DET
cana-1835	230	18	heavily	heavily	ADV
cana-1835	230	19	processed	process	VERB
cana-1835	230	20	foremost	foremost	ADJ
cana-1835	230	21	input	input	NOUN
cana-1835	230	22	features	feature	NOUN
cana-1835	230	23	.	.	PUNCT
cana-1835	231	1	next	next	ADV
cana-1835	231	2	,	,	PUNCT
cana-1835	231	3	to	to	PART
cana-1835	231	4	use	use	VERB
cana-1835	231	5	a	a	DET
cana-1835	231	6	harmonic	harmonic	ADJ
cana-1835	231	7	discontinuous	discontinuous	ADJ
cana-1835	231	8	cosine	cosine	NOUN
cana-1835	231	9	and	and	CCONJ
cana-1835	231	10	a	a	DET
cana-1835	231	11	stochastic	stochastic	ADJ
cana-1835	231	12	distribution	distribution	NOUN
cana-1835	231	13	function	function	NOUN
cana-1835	231	14	,	,	PUNCT
cana-1835	231	15	characteristics	characteristic	NOUN
cana-1835	231	16	are	be	AUX
cana-1835	231	17	extracted	extract	VERB
cana-1835	231	18	in	in	ADP
cana-1835	231	19	this	this	DET
cana-1835	231	20	instance	instance	NOUN
cana-1835	231	21	.	.	PUNCT
cana-1835	232	1	at	at	ADP
cana-1835	232	2	last	last	ADJ
cana-1835	232	3	,	,	PUNCT
cana-1835	232	4	the	the	DET
cana-1835	232	5	inter	inter	ADJ
cana-1835	232	6	linear	linear	NOUN
cana-1835	232	7	hinged	hinge	VERB
cana-1835	232	8	vector	vector	NOUN
cana-1835	232	9	support	support	NOUN
cana-1835	232	10	ophthalmology	ophthalmology	NOUN
cana-1835	232	11	detection	detection	NOUN
cana-1835	232	12	models	model	NOUN
cana-1835	232	13	inputs	input	NOUN
cana-1835	232	14	is	be	AUX
cana-1835	232	15	constructed	construct	VERB
cana-1835	232	16	to	to	PART
cana-1835	232	17	use	use	VERB
cana-1835	232	18	the	the	DET
cana-1835	232	19	salient	salient	NOUN
cana-1835	232	20	features	feature	NOUN
cana-1835	232	21	extracted	extract	VERB
cana-1835	232	22	.	.	PUNCT
cana-1835	233	1	here	here	ADV
cana-1835	233	2	,	,	PUNCT
cana-1835	233	3	this	this	DET
cana-1835	233	4	weighing	weighing	NOUN
cana-1835	233	5	scale	scale	NOUN
cana-1835	233	6	is	be	AUX
cana-1835	233	7	adopted	adopt	VERB
cana-1835	233	8	as	as	ADP
cana-1835	233	9	just	just	ADV
cana-1835	233	10	significant	significant	ADJ
cana-1835	233	11	criteria	criterion	NOUN
cana-1835	233	12	for	for	ADP
cana-1835	233	13	differentiating	differentiate	VERB
cana-1835	233	14	the	the	DET
cana-1835	233	15	four	four	NUM
cana-1835	233	16	categories	category	NOUN
cana-1835	233	17	of	of	ADP
cana-1835	233	18	healthy	healthy	ADJ
cana-1835	233	19	,	,	PUNCT
cana-1835	233	20	nvr	nvr	PROPN
cana-1835	233	21	,	,	PUNCT
cana-1835	233	22	dme	dme	PROPN
cana-1835	233	23	,	,	PUNCT
cana-1835	233	24	and	and	CCONJ
cana-1835	233	25	combination	combination	NOUN
cana-1835	233	26	of	of	ADP
cana-1835	233	27	chemical	chemical	NOUN
cana-1835	233	28	.	.	PUNCT
cana-1835	234	1	in	in	ADP
cana-1835	234	2	term	term	NOUN
cana-1835	234	3	of	of	ADP
cana-1835	234	4	ophthalmology	ophthalmology	NOUN
cana-1835	234	5	detection	detection	NOUN
cana-1835	234	6	rate	rate	NOUN
cana-1835	234	7	,	,	PUNCT
cana-1835	234	8	correctness	correctness	NOUN
cana-1835	234	9	,	,	PUNCT
cana-1835	234	10	and	and	CCONJ
cana-1835	234	11	specificity	specificity	NOUN
cana-1835	234	12	,	,	PUNCT
cana-1835	234	13	the	the	DET
cana-1835	234	14	proposed	propose	VERB
cana-1835	234	15	asmhsml	asmhsml	NOUN
cana-1835	234	16	method	method	NOUN
cana-1835	234	17	achieved	achieve	VERB
cana-1835	234	18	superior	superior	ADJ
cana-1835	234	19	results	result	NOUN
cana-1835	234	20	in	in	ADP
cana-1835	234	21	the	the	DET
cana-1835	234	22	experiment	experiment	NOUN
cana-1835	234	23	conducted	conduct	VERB
cana-1835	234	24	.	.	PUNCT
cana-1835	235	1	in	in	ADP
cana-1835	235	2	contrast	contrast	NOUN
cana-1835	235	3	to	to	ADP
cana-1835	235	4	prior	prior	ADJ
cana-1835	235	5	investigations	investigation	NOUN
cana-1835	235	6	,	,	PUNCT
cana-1835	235	7	simulation	simulation	NOUN
cana-1835	235	8	results	result	NOUN
cana-1835	235	9	employing	employ	VERB
cana-1835	235	10	retina	retina	NOUN
cana-1835	235	11	images	image	NOUN
cana-1835	235	12	reveal	reveal	VERB
cana-1835	235	13	superior	superior	ADJ
cana-1835	235	14	perspective	perspective	NOUN
cana-1835	235	15	in	in	ADP
cana-1835	235	16	the	the	DET
cana-1835	235	17	context	context	NOUN
cana-1835	235	18	of	of	ADP
cana-1835	235	19	the	the	DET
cana-1835	235	20	three	three	NUM
cana-1835	235	21	parameters	parameter	NOUN
cana-1835	235	22	.	.	PUNCT
cana-1835	236	1	references	reference	NOUN
cana-1835	236	2	[	[	X
cana-1835	236	3	1	1	NUM
cana-1835	236	4	]	]	PUNCT
cana-1835	236	5	f.	f.	PROPN
cana-1835	236	6	ajesh	ajesh	PROPN
cana-1835	236	7	,	,	PUNCT
cana-1835	236	8	r.	r.	PROPN
cana-1835	236	9	ravi	ravi	PROPN
cana-1835	236	10	,	,	PUNCT
cana-1835	236	11	g.	g.	PROPN
cana-1835	236	12	rajakumar	rajakumar	PROPN
cana-1835	236	13	,	,	PUNCT
cana-1835	236	14	“	"	PUNCT
cana-1835	236	15	early	early	ADJ
cana-1835	236	16	diagnosis	diagnosis	NOUN
cana-1835	236	17	of	of	ADP
cana-1835	236	18	glaucoma	glaucoma	NOUN
cana-1835	236	19	using	use	VERB
cana-1835	236	20	multi‑feature	multi‑feature	NOUN
cana-1835	236	21	analysis	analysis	NOUN
cana-1835	236	22	and	and	CCONJ
cana-1835	236	23	dbn	dbn	PROPN
cana-1835	236	24	based	base	VERB
cana-1835	236	25	classification	classification	NOUN
cana-1835	236	26	”	"	PUNCT
cana-1835	236	27	,	,	PUNCT
cana-1835	236	28	journal	journal	NOUN
cana-1835	236	29	of	of	ADP
cana-1835	236	30	ambient	ambient	ADJ
cana-1835	236	31	intelligence	intelligence	NOUN
cana-1835	236	32	and	and	CCONJ
cana-1835	236	33	humanized	humanize	VERB
cana-1835	236	34	computing	computing	NOUN
cana-1835	236	35	,	,	PUNCT
cana-1835	236	36	springer	springer	NOUN
cana-1835	236	37	,	,	PUNCT
cana-1835	236	38	feb	feb	PROPN
cana-1835	236	39	2020	2020	NUM
cana-1835	236	40	(	(	PUNCT
cana-1835	236	41	multi	multi	VERB
cana-1835	236	42	feature	feature	NOUN
cana-1835	236	43	vector	vector	NOUN
cana-1835	236	44	deep	deep	ADJ
cana-1835	236	45	belief	belief	NOUN
cana-1835	236	46	network	network	NOUN
cana-1835	236	47	–	–	PUNCT
cana-1835	236	48	mfv	mfv	NOUN
cana-1835	236	49	-	-	PUNCT
cana-1835	236	50	dbn	dbn	NOUN
cana-1835	236	51	)	)	PUNCT
cana-1835	237	1	[	[	X
cana-1835	237	2	2	2	NUM
cana-1835	237	3	]	]	PUNCT
cana-1835	237	4	chan	chan	X
cana-1835	237	5	yam	yam	PROPN
cana-1835	237	6	meng	meng	PROPN
cana-1835	237	7	,	,	PUNCT
cana-1835	237	8	e.y.k	e.y.k	NOUN
cana-1835	237	9	.	.	PUNCT
cana-1835	238	1	ng	ng	PROPN
cana-1835	238	2	,	,	PUNCT
cana-1835	238	3	v.	v.	PROPN
cana-1835	238	4	jahmunah	jahmunah	PROPN
cana-1835	238	5	,	,	PUNCT
cana-1835	238	6	joel	joel	PROPN
cana-1835	238	7	en	en	PROPN
cana-1835	238	8	wei	wei	PROPN
cana-1835	238	9	koh	koh	PROPN
cana-1835	238	10	,	,	PUNCT
cana-1835	238	11	oh	oh	INTJ
cana-1835	238	12	shu	shu	PROPN
cana-1835	238	13	lih	lih	PROPN
cana-1835	238	14	,	,	PUNCT
cana-1835	238	15	leonard	leonard	PROPN
cana-1835	238	16	yip	yip	PROPN
cana-1835	238	17	wei	wei	PROPN
cana-1835	238	18	leon	leon	PROPN
cana-1835	238	19	,	,	PUNCT
cana-1835	238	20	u.	u.	PROPN
cana-1835	238	21	rajendra	rajendra	PROPN
cana-1835	238	22	acharya	acharya	PROPN
cana-1835	238	23	,	,	PUNCT
cana-1835	238	24	“	"	PUNCT
cana-1835	238	25	automated	automate	VERB
cana-1835	238	26	detection	detection	NOUN
cana-1835	238	27	of	of	ADP
cana-1835	238	28	glaucoma	glaucoma	NOUN
cana-1835	238	29	using	use	VERB
cana-1835	238	30	optical	optical	ADJ
cana-1835	238	31	coherence	coherence	NOUN
cana-1835	238	32	tomography	tomography	NOUN
cana-1835	238	33	angiogram	angiogram	NOUN
cana-1835	238	34	images	image	NOUN
cana-1835	238	35	”	"	PUNCT
cana-1835	238	36	,	,	PUNCT
cana-1835	238	37	computers	computer	NOUN
cana-1835	238	38	in	in	ADP
cana-1835	238	39	biology	biology	NOUN
cana-1835	238	40	and	and	CCONJ
cana-1835	238	41	medicine	medicine	NOUN
cana-1835	238	42	,	,	PUNCT
cana-1835	238	43	elsevier	elsevier	NOUN
cana-1835	238	44	,	,	PUNCT
cana-1835	238	45	oct	oct	PROPN
cana-1835	238	46	2019	2019	NUM
cana-1835	238	47	(	(	PUNCT
cana-1835	238	48	contrast	contrast	NOUN
cana-1835	238	49	limited	limit	VERB
cana-1835	238	50	advanced	advanced	ADJ
cana-1835	238	51	histogram	histogram	NOUN
cana-1835	238	52	equalization	equalization	NOUN
cana-1835	238	53	–	–	PUNCT
cana-1835	238	54	clahe	clahe	NOUN
cana-1835	238	55	)	)	PUNCT
cana-1835	239	1	[	[	X
cana-1835	239	2	3	3	X
cana-1835	239	3	]	]	X
cana-1835	239	4	mamta	mamta	PROPN
cana-1835	239	5	juneja	juneja	PROPN
cana-1835	239	6	,	,	PUNCT
cana-1835	239	7	shaswat	shaswat	NOUN
cana-1835	239	8	singh	singh	PROPN
cana-1835	239	9	,	,	PUNCT
cana-1835	239	10	naman	naman	PROPN
cana-1835	239	11	agarwal	agarwal	PROPN
cana-1835	239	12	,	,	PUNCT
cana-1835	239	13	shivank	shivank	PROPN
cana-1835	239	14	bali	bali	PROPN
cana-1835	239	15	,	,	PUNCT
cana-1835	239	16	shubham	shubham	PROPN
cana-1835	239	17	gupta	gupta	PROPN
cana-1835	239	18	,	,	PUNCT
cana-1835	239	19	niharika	niharika	PROPN
cana-1835	239	20	thakur	thakur	PROPN
cana-1835	239	21	,	,	PUNCT
cana-1835	239	22	prashant	prashant	PROPN
cana-1835	239	23	jindal	jindal	PROPN
cana-1835	239	24	,	,	PUNCT
cana-1835	239	25	“	"	PUNCT
cana-1835	239	26	automated	automate	VERB
cana-1835	239	27	detection	detection	NOUN
cana-1835	239	28	of	of	ADP
cana-1835	239	29	glaucoma	glaucoma	NOUN
cana-1835	239	30	using	use	VERB
cana-1835	239	31	deep	deep	ADJ
cana-1835	239	32	learning	learning	NOUN
cana-1835	239	33	convolution	convolution	NOUN
cana-1835	239	34	network	network	NOUN
cana-1835	239	35	(	(	PUNCT
cana-1835	239	36	g	g	NOUN
cana-1835	239	37	-	-	PUNCT
cana-1835	239	38	net	net	NOUN
cana-1835	239	39	)	)	PUNCT
cana-1835	239	40	”	"	PUNCT
cana-1835	239	41	,	,	PUNCT
cana-1835	239	42	multimedia	multimedia	NOUN
cana-1835	239	43	tools	tool	NOUN
cana-1835	239	44	and	and	CCONJ
cana-1835	239	45	applications	application	NOUN
cana-1835	239	46	,	,	PUNCT
cana-1835	239	47	springer	springer	NOUN
cana-1835	239	48	nature	nature	NOUN
cana-1835	239	49	,	,	PUNCT
cana-1835	239	50	mar	mar	PROPN
cana-1835	239	51	2019	2019	NUM
cana-1835	239	52	[	[	X
cana-1835	239	53	4	4	NUM
cana-1835	239	54	]	]	PUNCT
cana-1835	239	55	andres	andre	VERB
cana-1835	239	56	diaz‑pinto	diaz‑pinto	PROPN
cana-1835	239	57	,	,	PUNCT
cana-1835	239	58	sandra	sandra	PROPN
cana-1835	239	59	morales	morales	PROPN
cana-1835	239	60	,	,	PUNCT
cana-1835	239	61	valery	valery	PROPN
cana-1835	239	62	naranjo	naranjo	PROPN
cana-1835	239	63	,	,	PUNCT
cana-1835	239	64	thomas	thomas	PROPN
cana-1835	239	65	köhler	köhler	PROPN
cana-1835	239	66	,	,	PUNCT
cana-1835	239	67	jose	jose	PROPN
cana-1835	239	68	m.	m.	NOUN
cana-1835	239	69	mossi	mossi	PROPN
cana-1835	239	70	,	,	PUNCT
cana-1835	239	71	amparo	amparo	PROPN
cana-1835	239	72	navea	navea	PROPN
cana-1835	239	73	,	,	PUNCT
cana-1835	239	74	“	"	PUNCT
cana-1835	239	75	cnns	cnn	NOUN
cana-1835	239	76	for	for	ADP
cana-1835	239	77	automatic	automatic	ADJ
cana-1835	239	78	glaucoma	glaucoma	NOUN
cana-1835	239	79	assessment	assessment	NOUN
cana-1835	239	80	using	use	VERB
cana-1835	239	81	fundus	fundus	NOUN
cana-1835	239	82	images	image	NOUN
cana-1835	239	83	:	:	PUNCT
cana-1835	239	84	an	an	DET
cana-1835	239	85	extensive	extensive	ADJ
cana-1835	239	86	validation	validation	NOUN
cana-1835	239	87	”	"	PUNCT
cana-1835	239	88	,	,	PUNCT
cana-1835	239	89	bio	bio	PROPN
cana-1835	239	90	medical	medical	PROPN
cana-1835	239	91	engineering	engineering	PROPN
cana-1835	239	92	online	online	ADV
cana-1835	239	93	,	,	PUNCT
cana-1835	239	94	jul	jul	PROPN
cana-1835	239	95	2019	2019	NUM
cana-1835	240	1	[	[	X
cana-1835	240	2	5	5	NUM
cana-1835	240	3	]	]	PUNCT
cana-1835	240	4	lamiaa	lamiaa	NOUN
cana-1835	240	5	abdel	abdel	PROPN
cana-1835	240	6	-	-	PUNCT
cana-1835	240	7	hamid	hamid	PROPN
cana-1835	240	8	,	,	PUNCT
cana-1835	240	9	“	"	PUNCT
cana-1835	240	10	glaucoma	glaucoma	NOUN
cana-1835	240	11	detection	detection	NOUN
cana-1835	240	12	from	from	ADP
cana-1835	240	13	retinal	retinal	ADJ
cana-1835	240	14	images	image	NOUN
cana-1835	240	15	using	use	VERB
cana-1835	240	16	statistical	statistical	ADJ
cana-1835	240	17	and	and	CCONJ
cana-1835	240	18	textural	textural	ADJ
cana-1835	240	19	wavelet	wavelet	NOUN
cana-1835	240	20	features	feature	NOUN
cana-1835	240	21	”	"	PUNCT
cana-1835	240	22	,	,	PUNCT
cana-1835	240	23	journal	journal	NOUN
cana-1835	240	24	of	of	ADP
cana-1835	240	25	digital	digital	ADJ
cana-1835	240	26	imaging	imaging	NOUN
cana-1835	240	27	,	,	PUNCT
cana-1835	240	28	springer	springer	NOUN
cana-1835	240	29	,	,	PUNCT
cana-1835	240	30	feb	feb	PROPN
cana-1835	240	31	2019	2019	NUM
cana-1835	240	32	[	[	X
cana-1835	240	33	6	6	NUM
cana-1835	240	34	]	]	PUNCT
cana-1835	240	35	soorya	soorya	NOUN
cana-1835	240	36	m.	m.	NOUN
cana-1835	240	37	,	,	PUNCT
cana-1835	240	38	ashish	ashish	PROPN
cana-1835	240	39	issac	issac	PROPN
cana-1835	240	40	,	,	PUNCT
cana-1835	240	41	malay	malay	PROPN
cana-1835	240	42	kishore	kishore	PROPN
cana-1835	240	43	dutta	dutta	PROPN
cana-1835	240	44	,	,	PUNCT
cana-1835	240	45	“	"	PUNCT
cana-1835	240	46	an	an	DET
cana-1835	240	47	automated	automate	VERB
cana-1835	240	48	and	and	CCONJ
cana-1835	240	49	robust	robust	ADJ
cana-1835	240	50	image	image	NOUN
cana-1835	240	51	processing	processing	NOUN
cana-1835	240	52	algorithm	algorithm	NOUN
cana-1835	240	53	for	for	ADP
cana-1835	240	54	glaucoma	glaucoma	NOUN
cana-1835	240	55	diagnosis	diagnosis	NOUN
cana-1835	240	56	from	from	ADP
cana-1835	240	57	fundus	fundus	NOUN
cana-1835	240	58	images	image	NOUN
cana-1835	240	59	using	use	VERB
cana-1835	240	60	novel	novel	ADJ
cana-1835	240	61	blood	blood	NOUN
cana-1835	240	62	vessel	vessel	NOUN
cana-1835	240	63	tracking	tracking	NOUN
cana-1835	240	64	and	and	CCONJ
cana-1835	240	65	bend	bend	NOUN
cana-1835	240	66	point	point	NOUN
cana-1835	240	67	detection	detection	NOUN
cana-1835	240	68	”	"	PUNCT
cana-1835	240	69	,	,	PUNCT
cana-1835	240	70	international	international	ADJ
cana-1835	240	71	journal	journal	NOUN
cana-1835	240	72	of	of	ADP
cana-1835	240	73	medical	medical	ADJ
cana-1835	240	74	informatics	informatic	NOUN
cana-1835	240	75	,	,	PUNCT
cana-1835	240	76	elsevier	elsevier	NOUN
cana-1835	240	77	,	,	PUNCT
cana-1835	240	78	feb	feb	PROPN
cana-1835	240	79	2018	2018	NUM
cana-1835	241	1	[	[	X
cana-1835	241	2	7	7	X
cana-1835	241	3	]	]	X
cana-1835	241	4	shruti	shruti	PROPN
cana-1835	241	5	jain	jain	PROPN
cana-1835	241	6	,	,	PUNCT
cana-1835	241	7	ayodeji	ayodeji	PROPN
cana-1835	241	8	olalekan	olalekan	PROPN
cana-1835	241	9	salau	salau	PROPN
cana-1835	241	10	,	,	PUNCT
cana-1835	241	11	“	"	PUNCT
cana-1835	241	12	detection	detection	NOUN
cana-1835	241	13	of	of	ADP
cana-1835	241	14	glaucoma	glaucoma	NOUN
cana-1835	241	15	using	use	VERB
cana-1835	241	16	two	two	NUM
cana-1835	241	17	dimensional	dimensional	ADJ
cana-1835	241	18	tensor	tensor	NOUN
cana-1835	241	19	empirical	empirical	ADJ
cana-1835	241	20	wavelet	wavelet	NOUN
cana-1835	241	21	transform	transform	NOUN
cana-1835	241	22	”	"	PUNCT
cana-1835	241	23	,	,	PUNCT
cana-1835	241	24	springer	springer	NOUN
cana-1835	241	25	nature	nature	NOUN
cana-1835	241	26	,	,	PUNCT
cana-1835	241	27	oct	oct	PROPN
cana-1835	241	28	2019	2019	NUM
cana-1835	242	1	[	[	X
cana-1835	242	2	8	8	NUM
cana-1835	242	3	]	]	PUNCT
cana-1835	242	4	huazhu	huazhu	NOUN
cana-1835	242	5	fu	fu	PROPN
cana-1835	242	6	,	,	PUNCT
cana-1835	242	7	jun	jun	PROPN
cana-1835	242	8	cheng	cheng	PROPN
cana-1835	242	9	,	,	PUNCT
cana-1835	242	10	yanwu	yanwu	PROPN
cana-1835	242	11	xu	xu	PROPN
cana-1835	242	12	,	,	PUNCT
cana-1835	242	13	changqing	changqe	VERB
cana-1835	242	14	zhang	zhang	PROPN
cana-1835	242	15	,	,	PUNCT
cana-1835	242	16	damon	damon	ADJ
cana-1835	242	17	wing	wing	PROPN
cana-1835	242	18	kee	kee	PROPN
cana-1835	242	19	wong	wong	PROPN
cana-1835	242	20	,	,	PUNCT
cana-1835	242	21	jiang	jiang	PROPN
cana-1835	242	22	liu	liu	PROPN
cana-1835	242	23	,	,	PUNCT
cana-1835	242	24	and	and	CCONJ
cana-1835	242	25	xiaochun	xiaochun	PROPN
cana-1835	242	26	cao	cao	PROPN
cana-1835	242	27	,	,	PUNCT
cana-1835	242	28	”	"	PUNCT
cana-1835	242	29	disc	disc	NOUN
cana-1835	242	30	-	-	PUNCT
cana-1835	242	31	aware	aware	ADJ
cana-1835	242	32	ensemble	ensemble	ADJ
cana-1835	242	33	network	network	NOUN
cana-1835	242	34	for	for	ADP
cana-1835	242	35	glaucoma	glaucoma	NOUN
cana-1835	242	36	screening	screen	VERB
cana-1835	242	37	from	from	ADP
cana-1835	242	38	fundus	fundus	NOUN
cana-1835	242	39	image	image	NOUN
cana-1835	242	40	”	"	PUNCT
cana-1835	242	41	,	,	PUNCT
cana-1835	242	42	ieee	ieee	NOUN
cana-1835	242	43	transactions	transaction	NOUN
cana-1835	242	44	on	on	ADP
cana-1835	242	45	medical	medical	ADJ
cana-1835	242	46	imaging	imaging	NOUN
cana-1835	242	47	,	,	PUNCT
cana-1835	242	48	feb	feb	PROPN
cana-1835	242	49	2018	2018	NUM
cana-1835	243	1	[	[	X
cana-1835	243	2	9	9	NUM
cana-1835	243	3	]	]	SYM
cana-1835	243	4	h	h	NOUN
cana-1835	243	5	n	n	PRON
cana-1835	243	6	veena	veena	NOUN
cana-1835	243	7	,	,	PUNCT
cana-1835	243	8	a	a	DET
cana-1835	243	9	muruganandham	muruganandham	NOUN
cana-1835	243	10	,	,	PUNCT
cana-1835	243	11	t	t	PROPN
cana-1835	243	12	senthil	senthil	PROPN
cana-1835	243	13	kumaran	kumaran	PROPN
cana-1835	243	14	,	,	PUNCT
cana-1835	243	15	“	"	PUNCT
cana-1835	243	16	a	a	DET
cana-1835	243	17	review	review	NOUN
cana-1835	243	18	on	on	ADP
cana-1835	243	19	the	the	DET
cana-1835	243	20	optic	optic	ADJ
cana-1835	243	21	disc	disc	NOUN
cana-1835	243	22	and	and	CCONJ
cana-1835	243	23	optic	optic	NOUN
cana-1835	243	24	cup	cup	NOUN
cana-1835	243	25	segmentation	segmentation	NOUN
cana-1835	243	26	and	and	CCONJ
cana-1835	243	27	classification	classification	NOUN
cana-1835	243	28	approaches	approach	NOUN
cana-1835	243	29	over	over	ADP
cana-1835	243	30	retinal	retinal	ADJ
cana-1835	243	31	fundus	fundus	NOUN
cana-1835	243	32	images	image	NOUN
cana-1835	243	33	for	for	ADP
cana-1835	243	34	detection	detection	NOUN
cana-1835	243	35	of	of	ADP
cana-1835	243	36	glaucoma	glaucoma	NOUN
cana-1835	243	37	”	"	PUNCT
cana-1835	243	38	,	,	PUNCT
cana-1835	243	39	springer	springer	NOUN
cana-1835	243	40	nature	nature	NOUN
cana-1835	243	41	,	,	PUNCT
cana-1835	243	42	aug	aug	PROPN
cana-1835	243	43	2020	2020	NUM
cana-1835	243	44	[	[	X
cana-1835	243	45	10	10	NUM
cana-1835	243	46	]	]	X
cana-1835	243	47	niharika	niharika	NOUN
cana-1835	243	48	thakur	thakur	PROPN
cana-1835	243	49	,	,	PUNCT
cana-1835	243	50	mamta	mamta	PROPN
cana-1835	243	51	juneja	juneja	NOUN
cana-1835	243	52	,	,	PUNCT
cana-1835	243	53	“	"	PUNCT
cana-1835	243	54	survey	survey	NOUN
cana-1835	243	55	on	on	ADP
cana-1835	243	56	segmentation	segmentation	NOUN
cana-1835	243	57	and	and	CCONJ
cana-1835	243	58	classification	classification	NOUN
cana-1835	243	59	approaches	approach	NOUN
cana-1835	243	60	of	of	ADP
cana-1835	243	61	optic	optic	ADJ
cana-1835	243	62	cupand	cupand	NOUN
cana-1835	243	63	optic	optic	NOUN
cana-1835	243	64	disc	disc	NOUN
cana-1835	243	65	for	for	ADP
cana-1835	243	66	diagnosis	diagnosis	NOUN
cana-1835	243	67	of	of	ADP
cana-1835	243	68	glaucoma	glaucoma	NOUN
cana-1835	243	69	”	"	PUNCT
cana-1835	243	70	,	,	PUNCT
cana-1835	243	71	biomedical	biomedical	ADJ
cana-1835	243	72	signal	signal	NOUN
cana-1835	243	73	processing	processing	NOUN
cana-1835	243	74	and	and	CCONJ
cana-1835	243	75	control	control	NOUN
cana-1835	243	76	,	,	PUNCT
cana-1835	243	77	elsevier	elsevier	NOUN
cana-1835	243	78	,	,	PUNCT
cana-1835	243	79	jan	jan	PROPN
cana-1835	243	80	2018	2018	NUM
cana-1835	243	81	[	[	X
cana-1835	243	82	11	11	NUM
cana-1835	243	83	]	]	PUNCT
cana-1835	243	84	anshul	anshul	NOUN
cana-1835	243	85	thakur	thakur	PROPN
cana-1835	243	86	,	,	PUNCT
cana-1835	243	87	michael	michael	PROPN
cana-1835	243	88	goldbaum	goldbaum	PROPN
cana-1835	243	89	,	,	PUNCT
cana-1835	243	90	siamak	siamak	PROPN
cana-1835	243	91	yousefi	yousefi	PROPN
cana-1835	243	92	,	,	PUNCT
cana-1835	243	93	“	"	PUNCT
cana-1835	243	94	predicting	predict	VERB
cana-1835	243	95	glaucoma	glaucoma	NOUN
cana-1835	243	96	before	before	ADP
cana-1835	243	97	onset	onset	NOUN
cana-1835	243	98	using	use	VERB
cana-1835	243	99	deep	deep	ADJ
cana-1835	243	100	learning	learning	NOUN
cana-1835	243	101	”	"	PUNCT
cana-1835	243	102	,	,	PUNCT
cana-1835	243	103	american	american	PROPN
cana-1835	243	104	academy	academy	PROPN
cana-1835	243	105	of	of	ADP
cana-1835	243	106	ophthalmology	ophthalmology	PROPN
cana-1835	243	107	,	,	PUNCT
cana-1835	243	108	elsevier	elsevier	NOUN
cana-1835	243	109	,	,	PUNCT
cana-1835	243	110	jul	jul	PROPN
cana-1835	243	111	2020	2020	NUM
cana-1835	244	1	[	[	X
cana-1835	244	2	12	12	NUM
cana-1835	244	3	]	]	PUNCT
cana-1835	244	4	muhammad	muhammad	PROPN
cana-1835	244	5	mateen	mateen	PROPN
cana-1835	244	6	,	,	PUNCT
cana-1835	244	7	junhao	junhao	PROPN
cana-1835	244	8	wen	wen	PROPN
cana-1835	244	9	,	,	PUNCT
cana-1835	244	10	mehdi	mehdi	PROPN
cana-1835	244	11	hassan	hassan	PROPN
cana-1835	244	12	,	,	PUNCT
cana-1835	244	13	nasrullah	nasrullah	NUM
cana-1835	244	14	,	,	PUNCT
cana-1835	244	15	song	song	NOUN
cana-1835	244	16	sun	sun	PROPN
cana-1835	244	17	,	,	PUNCT
cana-1835	244	18	shaukat	shaukat	PROPN
cana-1835	244	19	hayat	hayat	PROPN
cana-1835	244	20	,	,	PUNCT
cana-1835	244	21	“	"	PUNCT
cana-1835	244	22	automatic	automatic	ADJ
cana-1835	244	23	detection	detection	NOUN
cana-1835	244	24	of	of	ADP
cana-1835	244	25	diabetic	diabetic	ADJ
cana-1835	244	26	retinopathy	retinopathy	NOUN
cana-1835	244	27	:	:	PUNCT
cana-1835	244	28	a	a	DET
cana-1835	244	29	review	review	NOUN
cana-1835	244	30	on	on	ADP
cana-1835	244	31	datasets	dataset	NOUN
cana-1835	244	32	,	,	PUNCT
cana-1835	244	33	methods	method	NOUN
cana-1835	244	34	and	and	CCONJ
cana-1835	244	35	evaluation	evaluation	NOUN
cana-1835	244	36	metrics	metric	NOUN
cana-1835	244	37	”	"	PUNCT
cana-1835	244	38	,	,	PUNCT
cana-1835	244	39	ieee	ieee	NOUN
cana-1835	244	40	access	access	NOUN
cana-1835	244	41	,	,	PUNCT
cana-1835	244	42	mar	mar	PROPN
cana-1835	244	43	2020	2020	NUM
cana-1835	244	44	communications	communication	NOUN
cana-1835	244	45	on	on	ADP
cana-1835	244	46	applied	apply	VERB
cana-1835	244	47	nonlinear	nonlinear	ADJ
cana-1835	244	48	analysis	analysis	NOUN
cana-1835	244	49	issn	issn	NOUN
cana-1835	244	50	:	:	PUNCT
cana-1835	244	51	1074	1074	NUM
cana-1835	244	52	-	-	PUNCT
cana-1835	244	53	133x	133x	NUM
cana-1835	244	54	vol	vol	NOUN
cana-1835	244	55	32	32	NUM
cana-1835	244	56	no	no	NOUN
cana-1835	244	57	.	.	NOUN
cana-1835	244	58	2	2	NUM
cana-1835	244	59	(	(	PUNCT
cana-1835	244	60	2025	2025	NUM
cana-1835	244	61	)	)	PUNCT
cana-1835	245	1	609	609	NUM
cana-1835	245	2	https://internationalpubls.com	https://internationalpubls.com	X
cana-1835	245	3	[	[	X
cana-1835	245	4	13	13	NUM
cana-1835	245	5	]	]	X
cana-1835	245	6	daniele	daniele	PROPN
cana-1835	245	7	m.	m.	PROPN
cana-1835	245	8	s.	s.	PROPN
cana-1835	245	9	barros	barros	PROPN
cana-1835	245	10	,	,	PUNCT
cana-1835	245	11	julio	julio	PROPN
cana-1835	245	12	c.	c.	PROPN
cana-1835	245	13	c.	c.	PROPN
cana-1835	245	14	moura	moura	PROPN
cana-1835	245	15	,	,	PUNCT
cana-1835	245	16	cefas	cefas	PROPN
cana-1835	245	17	r.	r.	PROPN
cana-1835	245	18	freire	freire	PROPN
cana-1835	245	19	,	,	PUNCT
cana-1835	245	20	alexandre	alexandre	PROPN
cana-1835	245	21	c.	c.	PROPN
cana-1835	245	22	taleb	taleb	PROPN
cana-1835	245	23	,	,	PUNCT
cana-1835	245	24	ricardo	ricardo	PROPN
cana-1835	245	25	a.	a.	PROPN
cana-1835	245	26	m.	m.	PROPN
cana-1835	245	27	valentim	valentim	PROPN
cana-1835	245	28	and	and	CCONJ
cana-1835	245	29	philippi	philippi	PROPN
cana-1835	245	30	s.	s.	PROPN
cana-1835	245	31	g.	g.	PROPN
cana-1835	245	32	morais1	morais1	PROPN
cana-1835	245	33	,	,	PUNCT
cana-1835	245	34	“	"	PUNCT
cana-1835	245	35	machine	machine	NOUN
cana-1835	245	36	learning	learning	NOUN
cana-1835	245	37	applied	apply	VERB
cana-1835	245	38	to	to	ADP
cana-1835	245	39	retinal	retinal	ADJ
cana-1835	245	40	image	image	NOUN
cana-1835	245	41	processing	processing	NOUN
cana-1835	245	42	for	for	ADP
cana-1835	245	43	glaucoma	glaucoma	NOUN
cana-1835	245	44	detection	detection	NOUN
cana-1835	245	45	:	:	PUNCT
cana-1835	245	46	review	review	NOUN
cana-1835	245	47	and	and	CCONJ
cana-1835	245	48	perspective	perspective	NOUN
cana-1835	245	49	”	"	PUNCT
cana-1835	245	50	,	,	PUNCT
cana-1835	245	51	biomedical	biomedical	ADJ
cana-1835	245	52	engineering	engineering	NOUN
cana-1835	245	53	online	online	ADV
cana-1835	245	54	,	,	PUNCT
cana-1835	245	55	jul	jul	PROPN
cana-1835	245	56	2020	2020	NUM
cana-1835	246	1	[	[	X
cana-1835	246	2	14	14	NUM
cana-1835	246	3	]	]	PUNCT
cana-1835	246	4	f.	f.	PROPN
cana-1835	246	5	ajesh	ajesh	PROPN
cana-1835	246	6	,	,	PUNCT
cana-1835	246	7	r.	r.	PROPN
cana-1835	246	8	ravi	ravi	PROPN
cana-1835	246	9	,	,	PUNCT
cana-1835	246	10	g.	g.	PROPN
cana-1835	246	11	rajakumar	rajakumar	PROPN
cana-1835	246	12	,	,	PUNCT
cana-1835	246	13	“	"	PUNCT
cana-1835	246	14	early	early	ADJ
cana-1835	246	15	diagnosis	diagnosis	NOUN
cana-1835	246	16	of	of	ADP
cana-1835	246	17	glaucoma	glaucoma	NOUN
cana-1835	246	18	using	use	VERB
cana-1835	246	19	multi‑feature	multi‑feature	NOUN
cana-1835	246	20	analysis	analysis	NOUN
cana-1835	246	21	and	and	CCONJ
cana-1835	246	22	dbn	dbn	PROPN
cana-1835	246	23	based	base	VERB
cana-1835	246	24	classification	classification	NOUN
cana-1835	246	25	”	"	PUNCT
cana-1835	246	26	,	,	PUNCT
cana-1835	246	27	journal	journal	NOUN
cana-1835	246	28	of	of	ADP
cana-1835	246	29	ambient	ambient	ADJ
cana-1835	246	30	intelligence	intelligence	NOUN
cana-1835	246	31	and	and	CCONJ
cana-1835	246	32	humanized	humanize	VERB
cana-1835	246	33	computing	computing	NOUN
cana-1835	246	34	,	,	PUNCT
cana-1835	246	35	springer	springer	NOUN
cana-1835	246	36	nature	nature	NOUN
cana-1835	246	37	,	,	PUNCT
cana-1835	246	38	feb	feb	PROPN
cana-1835	246	39	2020	2020	NUM
cana-1835	246	40	[	[	X
cana-1835	246	41	15	15	NUM
cana-1835	246	42	]	]	X
cana-1835	246	43	feng	feng	PROPN
cana-1835	246	44	li	li	PROPN
cana-1835	246	45	,	,	PUNCT
cana-1835	246	46	lei	lei	PROPN
cana-1835	246	47	yan	yan	PROPN
cana-1835	246	48	,	,	PUNCT
cana-1835	246	49	yuguang	yuguang	PROPN
cana-1835	246	50	wang	wang	PROPN
cana-1835	246	51	,	,	PUNCT
cana-1835	246	52	jianxun	jianxun	PROPN
cana-1835	246	53	shi	shi	PROPN
cana-1835	246	54	,	,	PUNCT
cana-1835	246	55	hua	hua	PROPN
cana-1835	246	56	chen	chen	PROPN
cana-1835	246	57	,	,	PUNCT
cana-1835	246	58	xuedian	xuedian	PROPN
cana-1835	246	59	zhang	zhang	PROPN
cana-1835	246	60	,	,	PUNCT
cana-1835	246	61	minshan	minshan	PROPN
cana-1835	246	62	jiang	jiang	PROPN
cana-1835	246	63	,	,	PUNCT
cana-1835	246	64	zhizheng	zhizheng	PROPN
cana-1835	246	65	wu	wu	PROPN
cana-1835	246	66	,	,	PUNCT
cana-1835	246	67	kaiqian	kaiqian	PROPN
cana-1835	246	68	zhou	zhou	PROPN
cana-1835	246	69	,	,	PUNCT
cana-1835	246	70	“	"	PUNCT
cana-1835	246	71	deep	deep	ADJ
cana-1835	246	72	learning	learning	NOUN
cana-1835	246	73	-	-	PUNCT
cana-1835	246	74	based	base	VERB
cana-1835	246	75	automated	automate	VERB
cana-1835	246	76	detection	detection	NOUN
cana-1835	246	77	of	of	ADP
cana-1835	246	78	glaucomatous	glaucomatous	ADJ
cana-1835	246	79	optic	optic	NOUN
cana-1835	246	80	neuropathy	neuropathy	ADJ
cana-1835	246	81	on	on	ADP
cana-1835	246	82	color	color	ADJ
cana-1835	246	83	fundus	fundus	NOUN
cana-1835	246	84	photographs	photograph	NOUN
cana-1835	246	85	”	"	PUNCT
cana-1835	246	86	,	,	PUNCT
cana-1835	246	87	graefe	graefe	NOUN
cana-1835	246	88	's	's	PART
cana-1835	246	89	archive	archive	NOUN
cana-1835	246	90	for	for	ADP
cana-1835	246	91	clinical	clinical	ADJ
cana-1835	246	92	and	and	CCONJ
cana-1835	246	93	experimental	experimental	ADJ
cana-1835	246	94	ophthalmology	ophthalmology	NOUN
cana-1835	246	95	,	,	PUNCT
cana-1835	246	96	springer	springer	NOUN
cana-1835	246	97	nature	nature	NOUN
cana-1835	246	98	,	,	PUNCT
cana-1835	246	99	jan	jan	PROPN
cana-1835	246	100	2020	2020	NUM
cana-1835	246	101	[	[	X
cana-1835	246	102	16	16	NUM
cana-1835	246	103	]	]	PUNCT
cana-1835	246	104	yuki	yuki	PROPN
cana-1835	246	105	hagiwara	hagiwara	PROPN
cana-1835	246	106	,	,	PUNCT
cana-1835	246	107	joel	joel	PROPN
cana-1835	246	108	en	en	PROPN
cana-1835	246	109	wei	wei	PROPN
cana-1835	246	110	koh	koh	PROPN
cana-1835	246	111	,	,	PUNCT
cana-1835	246	112	jen	jen	PROPN
cana-1835	246	113	hong	hong	PROPN
cana-1835	246	114	tan	tan	PROPN
cana-1835	246	115	,	,	PUNCT
cana-1835	246	116	sulatha	sulatha	PROPN
cana-1835	246	117	v.	v.	ADP
cana-1835	246	118	bhandary	bhandary	PROPN
cana-1835	246	119	,	,	PUNCT
cana-1835	246	120	augustinus	augustinus	NOUN
cana-1835	246	121	laude	laude	NOUN
cana-1835	246	122	,	,	PUNCT
cana-1835	246	123	edward	edward	PROPN
cana-1835	246	124	j.	j.	PROPN
cana-1835	246	125	ciaccio	ciaccio	PROPN
cana-1835	246	126	,	,	PUNCT
cana-1835	246	127	louis	louis	PROPN
cana-1835	246	128	tong	tong	PROPN
cana-1835	246	129	,	,	PUNCT
cana-1835	246	130	u.	u.	PROPN
cana-1835	246	131	rajendra	rajendra	PROPN
cana-1835	246	132	acharya	acharya	PROPN
cana-1835	246	133	,	,	PUNCT
cana-1835	246	134	“	"	PUNCT
cana-1835	246	135	computer	computer	NOUN
cana-1835	246	136	-	-	PUNCT
cana-1835	246	137	aided	aid	VERB
cana-1835	246	138	diagnosis	diagnosis	NOUN
cana-1835	246	139	of	of	ADP
cana-1835	246	140	glaucoma	glaucoma	NOUN
cana-1835	246	141	using	use	VERB
cana-1835	246	142	fundus	fundus	NOUN
cana-1835	246	143	images	image	NOUN
cana-1835	246	144	:	:	PUNCT
cana-1835	246	145	a	a	DET
cana-1835	246	146	review	review	NOUN
cana-1835	246	147	”	"	PUNCT
cana-1835	246	148	,	,	PUNCT
cana-1835	246	149	computer	computer	NOUN
cana-1835	246	150	methods	method	NOUN
cana-1835	246	151	and	and	CCONJ
cana-1835	246	152	programs	program	NOUN
cana-1835	246	153	in	in	ADP
cana-1835	246	154	biomedicine	biomedicine	NOUN
cana-1835	246	155	,	,	PUNCT
cana-1835	246	156	elsevier	elsevier	NOUN
cana-1835	246	157	,	,	PUNCT
cana-1835	246	158	jul	jul	PROPN
cana-1835	246	159	2018	2018	NUM
cana-1835	246	160	[	[	X
cana-1835	246	161	17	17	NUM
cana-1835	246	162	]	]	PUNCT
cana-1835	246	163	yidong	yidong	NOUN
cana-1835	246	164	chai	chai	NOUN
cana-1835	246	165	,	,	PUNCT
cana-1835	246	166	hongyan	hongyan	PROPN
cana-1835	246	167	liu	liu	PROPN
cana-1835	246	168	,	,	PUNCT
cana-1835	246	169	jie	jie	PROPN
cana-1835	246	170	xu	xu	PROPN
cana-1835	246	171	,	,	PUNCT
cana-1835	246	172	“	"	PUNCT
cana-1835	246	173	glaucoma	glaucoma	NOUN
cana-1835	246	174	diagnosis	diagnosis	NOUN
cana-1835	246	175	based	base	VERB
cana-1835	246	176	on	on	ADP
cana-1835	246	177	both	both	PRON
cana-1835	246	178	hidden	hidden	ADJ
cana-1835	246	179	features	feature	NOUN
cana-1835	246	180	and	and	CCONJ
cana-1835	246	181	domain	domain	NOUN
cana-1835	246	182	knowledge	knowledge	NOUN
cana-1835	246	183	through	through	ADP
cana-1835	246	184	deep	deep	ADJ
cana-1835	246	185	learning	learning	NOUN
cana-1835	246	186	models	model	NOUN
cana-1835	246	187	”	"	PUNCT
cana-1835	246	188	,	,	PUNCT
cana-1835	246	189	knowledge	knowledge	NOUN
cana-1835	246	190	-	-	PUNCT
cana-1835	246	191	based	base	VERB
cana-1835	246	192	systems	system	NOUN
cana-1835	246	193	,	,	PUNCT
cana-1835	246	194	elsevier	elsevier	NOUN
cana-1835	246	195	,	,	PUNCT
cana-1835	246	196	jul	jul	PROPN
cana-1835	246	197	2018	2018	NUM
cana-1835	247	1	[	[	X
cana-1835	247	2	18	18	NUM
cana-1835	247	3	]	]	X
cana-1835	247	4	u	u	PROPN
cana-1835	247	5	raghavendra	raghavendra	PROPN
cana-1835	247	6	,	,	PUNCT
cana-1835	247	7	hamido	hamido	PROPN
cana-1835	247	8	fujita	fujita	PROPN
cana-1835	247	9	,	,	PUNCT
cana-1835	247	10	sulatha	sulatha	PROPN
cana-1835	247	11	v	v	ADP
cana-1835	247	12	bhandary	bhandary	PROPN
cana-1835	247	13	,	,	PUNCT
cana-1835	247	14	anjan	anjan	PROPN
cana-1835	247	15	gudigar	gudigar	PROPN
cana-1835	247	16	,	,	PUNCT
cana-1835	247	17	jen	jen	PROPN
cana-1835	247	18	hong	hong	PROPN
cana-1835	247	19	tan	tan	PROPN
cana-1835	247	20	,	,	PUNCT
cana-1835	247	21	u	u	PROPN
cana-1835	247	22	rajendra	rajendra	PROPN
cana-1835	247	23	acharya	acharya	PROPN
cana-1835	247	24	,	,	PUNCT
cana-1835	247	25	“	"	PUNCT
cana-1835	247	26	deep	deep	ADJ
cana-1835	247	27	convolution	convolution	NOUN
cana-1835	247	28	neural	neural	ADJ
cana-1835	247	29	network	network	NOUN
cana-1835	247	30	for	for	ADP
cana-1835	247	31	accurate	accurate	ADJ
cana-1835	247	32	diagnosis	diagnosis	NOUN
cana-1835	247	33	of	of	ADP
cana-1835	247	34	glaucoma	glaucoma	NOUN
cana-1835	247	35	using	use	VERB
cana-1835	247	36	digital	digital	ADJ
cana-1835	247	37	fundus	fundus	NOUN
cana-1835	247	38	images	image	NOUN
cana-1835	247	39	”	"	PUNCT
cana-1835	247	40	,	,	PUNCT
cana-1835	247	41	information	information	NOUN
cana-1835	247	42	sciences	science	NOUN
cana-1835	247	43	,	,	PUNCT
cana-1835	247	44	elsevier	elsevier	NOUN
cana-1835	247	45	,	,	PUNCT
cana-1835	247	46	jan	jan	PROPN
cana-1835	247	47	2018	2018	NUM
cana-1835	247	48	[	[	X
cana-1835	247	49	19	19	NUM
cana-1835	247	50	]	]	X
cana-1835	247	51	yu	yu	PROPN
cana-1835	247	52	-	-	PROPN
cana-1835	247	53	chieh	chieh	PROPN
cana-1835	247	54	ko	ko	PROPN
cana-1835	247	55	,	,	PUNCT
cana-1835	247	56	shih	shih	PROPN
cana-1835	247	57	-	-	PUNCT
cana-1835	247	58	yu	yu	PROPN
cana-1835	247	59	wey	wey	PROPN
cana-1835	247	60	,	,	PUNCT
cana-1835	247	61	wei	wei	PROPN
cana-1835	247	62	-	-	PROPN
cana-1835	247	63	ta	ta	PROPN
cana-1835	247	64	chen	chen	PROPN
cana-1835	247	65	,	,	PUNCT
cana-1835	247	66	yu	yu	PROPN
cana-1835	247	67	-	-	PUNCT
cana-1835	247	68	fan	fan	PROPN
cana-1835	247	69	chang	chang	PROPN
cana-1835	247	70	,	,	PUNCT
cana-1835	247	71	mei	mei	PROPN
cana-1835	247	72	-	-	PUNCT
cana-1835	247	73	ju	ju	PROPN
cana-1835	247	74	chen	chen	PROPN
cana-1835	247	75	,	,	PUNCT
cana-1835	247	76	shih	shih	PROPN
cana-1835	247	77	-	-	PUNCT
cana-1835	247	78	hwa	hwa	PROPN
cana-1835	247	79	chiou	chiou	NOUN
cana-1835	247	80	,	,	PUNCT
cana-1835	247	81	catherine	catherine	PROPN
cana-1835	247	82	jui	jui	PROPN
cana-1835	247	83	-	-	PUNCT
cana-1835	247	84	ling	ling	PROPN
cana-1835	247	85	liu	liu	PROPN
cana-1835	247	86	,	,	PUNCT
cana-1835	247	87	chen	chen	PROPN
cana-1835	247	88	-	-	PUNCT
cana-1835	247	89	yi	yi	PROPN
cana-1835	247	90	lee	lee	PROPN
cana-1835	247	91	,	,	PUNCT
cana-1835	247	92	“	"	PUNCT
cana-1835	247	93	deep	deep	ADJ
cana-1835	247	94	learning	learning	NOUN
cana-1835	247	95	assisted	assist	VERB
cana-1835	247	96	detection	detection	NOUN
cana-1835	247	97	of	of	ADP
cana-1835	247	98	glaucomatous	glaucomatous	ADJ
cana-1835	247	99	optic	optic	ADJ
cana-1835	247	100	neuropathy	neuropathy	ADJ
cana-1835	247	101	and	and	CCONJ
cana-1835	247	102	potential	potential	ADJ
cana-1835	247	103	designs	design	NOUN
cana-1835	247	104	for	for	ADP
cana-1835	247	105	a	a	DET
cana-1835	247	106	generalizable	generalizable	ADJ
cana-1835	247	107	model	model	NOUN
cana-1835	247	108	”	"	PUNCT
cana-1835	247	109	,	,	PUNCT
cana-1835	247	110	plos	plos	PROPN
cana-1835	247	111	one	one	NUM
cana-1835	248	1	|	|	ADV
cana-1835	248	2	https://doi.org/10.1371/journal.pone.0233079	https://doi.org/10.1371/journal.pone.0233079	PROPN
cana-1835	248	3	may	may	PROPN
cana-1835	248	4	14	14	NUM
cana-1835	248	5	,	,	PUNCT
cana-1835	248	6	2020	2020	NUM
cana-1835	249	1	[	[	X
cana-1835	249	2	20	20	NUM
cana-1835	249	3	]	]	X
cana-1835	249	4	jin	jin	PROPN
cana-1835	249	5	mo	mo	PROPN
cana-1835	249	6	ahn	ahn	PROPN
cana-1835	249	7	,	,	PUNCT
cana-1835	249	8	sangsoo	sangsoo	VERB
cana-1835	249	9	kim	kim	PROPN
cana-1835	249	10	,	,	PUNCT
cana-1835	249	11	kwang	kwang	PROPN
cana-1835	249	12	-	-	PUNCT
cana-1835	249	13	sung	sung	PROPN
cana-1835	249	14	ahn	ahn	PROPN
cana-1835	249	15	,	,	PUNCT
cana-1835	249	16	sung	sung	NOUN
cana-1835	249	17	-	-	PUNCT
cana-1835	249	18	hoon	hoon	NOUN
cana-1835	249	19	cho	cho	NOUN
cana-1835	249	20	,	,	PUNCT
cana-1835	249	21	kwan	kwan	PROPN
cana-1835	249	22	bok	bok	PROPN
cana-1835	249	23	lee	lee	PROPN
cana-1835	249	24	,	,	PUNCT
cana-1835	249	25	ungsoo	ungsoo	PROPN
cana-1835	249	26	samuel	samuel	PROPN
cana-1835	249	27	kim	kim	PROPN
cana-1835	249	28	,	,	PUNCT
cana-1835	249	29	“	"	PUNCT
cana-1835	249	30	a	a	DET
cana-1835	249	31	deep	deep	ADJ
cana-1835	249	32	learning	learning	NOUN
cana-1835	249	33	model	model	NOUN
cana-1835	249	34	for	for	ADP
cana-1835	249	35	the	the	DET
cana-1835	249	36	detection	detection	NOUN
cana-1835	249	37	of	of	ADP
cana-1835	249	38	both	both	CCONJ
cana-1835	249	39	advanced	advanced	ADJ
cana-1835	249	40	and	and	CCONJ
cana-1835	249	41	early	early	ADJ
cana-1835	249	42	glaucoma	glaucoma	NOUN
cana-1835	249	43	using	use	VERB
cana-1835	249	44	fundus	fundus	NOUN
cana-1835	249	45	photography	photography	NOUN
cana-1835	249	46	”	"	PUNCT
cana-1835	249	47	,	,	PUNCT
cana-1835	250	1	plos	plos	PROPN
cana-1835	250	2	one	one	NUM
cana-1835	250	3	|	|	ADV
cana-1835	250	4	https://doi.org/10.1371/journal.pone.0207982	https://doi.org/10.1371/journal.pone.0207982	PROPN
cana-1835	250	5	november	november	PROPN
cana-1835	250	6	27	27	NUM
cana-1835	250	7	,	,	PUNCT
cana-1835	250	8	2018	2018	NUM