id	sid	tid	token	lemma	pos
cana-2484	1	1	communications	communication	NOUN
cana-2484	1	2	on	on	ADP
cana-2484	1	3	applied	apply	VERB
cana-2484	1	4	nonlinear	nonlinear	ADJ
cana-2484	1	5	analysis	analysis	NOUN
cana-2484	1	6	issn	issn	NOUN
cana-2484	1	7	:	:	PUNCT
cana-2484	1	8	1074	1074	NUM
cana-2484	1	9	-	-	PUNCT
cana-2484	1	10	133x	133x	NUM
cana-2484	1	11	vol	vol	NOUN
cana-2484	1	12	32	32	NUM
cana-2484	1	13	no	no	NOUN
cana-2484	1	14	.	.	PUNCT
cana-2484	2	1	2s	2s	NUM
cana-2484	2	2	(	(	PUNCT
cana-2484	2	3	2025	2025	NUM
cana-2484	2	4	)	)	PUNCT
cana-2484	2	5	493	493	NUM
cana-2484	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2484	2	7	early	early	ADJ
cana-2484	2	8	detection	detection	NOUN
cana-2484	2	9	and	and	CCONJ
cana-2484	2	10	treatment	treatment	NOUN
cana-2484	2	11	of	of	ADP
cana-2484	2	12	glaucoma	glaucoma	NOUN
cana-2484	2	13	and	and	CCONJ
cana-2484	2	14	diabetic	diabetic	ADJ
cana-2484	2	15	retinopathy	retinopathy	NOUN
cana-2484	2	16	using	use	VERB
cana-2484	2	17	deep	deep	ADJ
cana-2484	2	18	neural	neural	ADJ
cana-2484	2	19	networks	network	NOUN
cana-2484	2	20	and	and	CCONJ
cana-2484	2	21	fuzzy	fuzzy	ADJ
cana-2484	2	22	logic	logic	NOUN
cana-2484	2	23	ravula	ravula	NOUN
cana-2484	2	24	arun	arun	PROPN
cana-2484	2	25	kumar1	kumar1	PROPN
cana-2484	2	26	,	,	PUNCT
cana-2484	2	27	nemi	nemi	PROPN
cana-2484	2	28	chandra	chandra	PROPN
cana-2484	2	29	rathore2	rathore2	PROPN
cana-2484	2	30	,	,	PUNCT
cana-2484	2	31	*	*	PROPN
cana-2484	2	32	dr	dr	PROPN
cana-2484	2	33	.	.	PROPN
cana-2484	2	34	urvashi	urvashi	PROPN
cana-2484	2	35	kumari3	kumari3	PROPN
cana-2484	2	36	,	,	PUNCT
cana-2484	2	37	sneha	sneha	PROPN
cana-2484	2	38	chandrakant	chandrakant	PROPN
cana-2484	2	39	nahatkar4	nahatkar4	PROPN
cana-2484	2	40	,	,	PUNCT
cana-2484	2	41	dr	dr	PROPN
cana-2484	2	42	.	.	PROPN
cana-2484	2	43	rita	rita	PROPN
cana-2484	2	44	bansal5	bansal5	PROPN
cana-2484	2	45	,	,	PUNCT
cana-2484	2	46	smitha	smitha	PROPN
cana-2484	2	47	b	b	PROPN
cana-2484	2	48	m6	m6	PROPN
cana-2484	2	49	,	,	PUNCT
cana-2484	2	50	dr.v.srilakshmi	dr.v.srilakshmi	PROPN
cana-2484	2	51	7	7	NUM
cana-2484	2	52	1	1	NUM
cana-2484	2	53	assistant	assistant	NOUN
cana-2484	2	54	professor	professor	NOUN
cana-2484	2	55	,	,	PUNCT
cana-2484	2	56	cse	cse	PROPN
cana-2484	2	57	,	,	PUNCT
cana-2484	2	58	vardhaman	vardhaman	NOUN
cana-2484	2	59	college	college	PROPN
cana-2484	2	60	of	of	ADP
cana-2484	2	61	engineering	engineering	PROPN
cana-2484	2	62	,	,	PUNCT
cana-2484	2	63	ranga	ranga	PROPN
cana-2484	2	64	reddy	reddy	PROPN
cana-2484	2	65	district	district	PROPN
cana-2484	2	66	,	,	PUNCT
cana-2484	2	67	hyderabad	hyderabad	PROPN
cana-2484	2	68	,	,	PUNCT
cana-2484	2	69	telangana	telangana	PROPN
cana-2484	2	70	arunravula12@gmail.com	arunravula12@gmail.com	PROPN
cana-2484	2	71	2	2	NUM
cana-2484	2	72	assistant	assistant	NOUN
cana-2484	2	73	professor	professor	NOUN
cana-2484	2	74	,	,	PUNCT
cana-2484	2	75	department	department	NOUN
cana-2484	2	76	of	of	ADP
cana-2484	2	77	computer	computer	NOUN
cana-2484	2	78	science	science	NOUN
cana-2484	2	79	,	,	PUNCT
cana-2484	2	80	central	central	ADJ
cana-2484	2	81	university	university	NOUN
cana-2484	2	82	of	of	ADP
cana-2484	2	83	south	south	PROPN
cana-2484	2	84	bihar	bihar	PROPN
cana-2484	2	85	gaya	gaya	PROPN
cana-2484	2	86	email	email	NOUN
cana-2484	2	87	nemichandra@cub.ac.in	nemichandra@cub.ac.in	NOUN
cana-2484	2	88	3	3	NUM
cana-2484	2	89	associate	associate	NOUN
cana-2484	2	90	professor	professor	NOUN
cana-2484	2	91	,	,	PUNCT
cana-2484	2	92	school	school	NOUN
cana-2484	2	93	of	of	ADP
cana-2484	2	94	engineering	engineering	NOUN
cana-2484	2	95	&	&	CCONJ
cana-2484	2	96	technology	technology	PROPN
cana-2484	2	97	,	,	PUNCT
cana-2484	2	98	sushant	sushant	PROPN
cana-2484	2	99	university	university	PROPN
cana-2484	2	100	.	.	PUNCT
cana-2484	3	1	https://orcid.org/0009-0002-6542-6726	https://orcid.org/0009-0002-6542-6726	PROPN
cana-2484	3	2	.	.	PROPN
cana-2484	3	3	urvashikumari@sushantuniversity.edu.in	urvashikumari@sushantuniversity.edu.in	PROPN
cana-2484	3	4	4	4	NUM
cana-2484	3	5	assistant	assistant	NOUN
cana-2484	3	6	professor	professor	NOUN
cana-2484	3	7	,	,	PUNCT
cana-2484	3	8	department	department	NOUN
cana-2484	3	9	of	of	ADP
cana-2484	3	10	electronics	electronic	NOUN
cana-2484	3	11	and	and	CCONJ
cana-2484	3	12	computer	computer	NOUN
cana-2484	3	13	engineering	engineering	NOUN
cana-2484	3	14	,	,	PUNCT
cana-2484	3	15	pict	pict	NOUN
cana-2484	3	16	,	,	PUNCT
cana-2484	3	17	pune	pune	NOUN
cana-2484	3	18	sneha.nahatkar@gmail.com	sneha.nahatkar@gmail.com	X
cana-2484	3	19	5	5	NUM
cana-2484	3	20	in	in	ADP
cana-2484	3	21	-	-	PUNCT
cana-2484	3	22	charge	charge	NOUN
cana-2484	3	23	principal	principal	NOUN
cana-2484	3	24	,	,	PUNCT
cana-2484	3	25	department	department	NOUN
cana-2484	3	26	:	:	PUNCT
cana-2484	3	27	law	law	NOUN
cana-2484	3	28	,	,	PUNCT
cana-2484	3	29	college	college	NOUN
cana-2484	3	30	:	:	PUNCT
cana-2484	3	31	d.t.s.s	d.t.s.s	PROPN
cana-2484	3	32	.	.	PROPN
cana-2484	3	33	college	college	PROPN
cana-2484	3	34	of	of	ADP
cana-2484	3	35	law	law	NOUN
cana-2484	3	36	,	,	PUNCT
cana-2484	3	37	email	email	NOUN
cana-2484	3	38	:	:	PUNCT
cana-2484	3	39	rita.bansal@sanskarsarjan.org	rita.bansal@sanskarsarjan.org	X
cana-2484	3	40	6	6	NUM
cana-2484	3	41	assistant	assistant	NOUN
cana-2484	3	42	professor	professor	NOUN
cana-2484	3	43	,	,	PUNCT
cana-2484	3	44	brindavan	brindavan	PROPN
cana-2484	3	45	college	college	PROPN
cana-2484	3	46	of	of	ADP
cana-2484	3	47	engineering	engineering	NOUN
cana-2484	3	48	email	email	NOUN
cana-2484	3	49	:	:	PUNCT
cana-2484	3	50	smithabm17@gmail.com	smithabm17@gmail.com	PROPN
cana-2484	3	51	7.associate	7.associate	NUM
cana-2484	3	52	professor	professor	NOUN
cana-2484	3	53	in	in	ADP
cana-2484	3	54	cse	cse	PROPN
cana-2484	3	55	,	,	PUNCT
cana-2484	3	56	gokaraju	gokaraju	VERB
cana-2484	3	57	rangaraju	rangaraju	PROPN
cana-2484	3	58	institute	institute	PROPN
cana-2484	3	59	of	of	ADP
cana-2484	3	60	engineering	engineering	NOUN
cana-2484	3	61	and	and	CCONJ
cana-2484	3	62	technology	technology	NOUN
cana-2484	3	63	(	(	PUNCT
cana-2484	3	64	griet	griet	PROPN
cana-2484	3	65	)	)	PUNCT
cana-2484	3	66	.	.	PUNCT
cana-2484	4	1	potlurisrilakshmi@gmail.com	potlurisrilakshmi@gmail.com	X
cana-2484	4	2	article	article	NOUN
cana-2484	4	3	history	history	NOUN
cana-2484	4	4	:	:	PUNCT
cana-2484	4	5	received	receive	VERB
cana-2484	4	6	:	:	PUNCT
cana-2484	4	7	24	24	NUM
cana-2484	4	8	-	-	PUNCT
cana-2484	4	9	09	09	NUM
cana-2484	4	10	-	-	PUNCT
cana-2484	4	11	2024	2024	NUM
cana-2484	4	12	revised	revise	VERB
cana-2484	4	13	:	:	PUNCT
cana-2484	4	14	01	01	NUM
cana-2484	4	15	-	-	SYM
cana-2484	4	16	11	11	NUM
cana-2484	4	17	-	-	PUNCT
cana-2484	4	18	2024	2024	NUM
cana-2484	4	19	accepted	accept	VERB
cana-2484	4	20	:	:	PUNCT
cana-2484	4	21	12	12	NUM
cana-2484	4	22	-	-	SYM
cana-2484	4	23	11	11	NUM
cana-2484	4	24	-	-	PUNCT
cana-2484	4	25	2024	2024	NUM
cana-2484	4	26	abstract	abstract	NOUN
cana-2484	4	27	:	:	PUNCT
cana-2484	4	28	early	early	ADJ
cana-2484	4	29	detection	detection	NOUN
cana-2484	4	30	,	,	PUNCT
cana-2484	4	31	monitoring	monitoring	NOUN
cana-2484	4	32	and	and	CCONJ
cana-2484	4	33	treatment	treatment	NOUN
cana-2484	4	34	of	of	ADP
cana-2484	4	35	eye	eye	NOUN
cana-2484	4	36	diseases	disease	NOUN
cana-2484	4	37	like	like	ADP
cana-2484	4	38	glaucoma	glaucoma	NOUN
cana-2484	4	39	and	and	CCONJ
cana-2484	4	40	diabetic	diabetic	ADJ
cana-2484	4	41	retinopathy	retinopathy	ADJ
cana-2484	4	42	(	(	PUNCT
cana-2484	4	43	dr	dr	PROPN
cana-2484	4	44	)	)	PUNCT
cana-2484	4	45	has	have	VERB
cana-2484	4	46	considerable	considerable	ADJ
cana-2484	4	47	impact	impact	NOUN
cana-2484	4	48	in	in	ADP
cana-2484	4	49	preventing	prevent	VERB
cana-2484	4	50	avoidable	avoidable	ADJ
cana-2484	4	51	blindness	blindness	NOUN
cana-2484	4	52	and	and	CCONJ
cana-2484	4	53	improving	improve	VERB
cana-2484	4	54	the	the	DET
cana-2484	4	55	patient	patient	ADJ
cana-2484	4	56	outcome	outcome	NOUN
cana-2484	4	57	.	.	PUNCT
cana-2484	5	1	recently	recently	ADV
cana-2484	5	2	,	,	PUNCT
cana-2484	5	3	a	a	DET
cana-2484	5	4	lot	lot	NOUN
cana-2484	5	5	of	of	ADP
cana-2484	5	6	attention	attention	NOUN
cana-2484	5	7	has	have	AUX
cana-2484	5	8	been	be	AUX
cana-2484	5	9	paid	pay	VERB
cana-2484	5	10	for	for	ADP
cana-2484	5	11	utilizing	utilize	VERB
cana-2484	5	12	some	some	DET
cana-2484	5	13	modern	modern	ADJ
cana-2484	5	14	computational	computational	ADJ
cana-2484	5	15	techniques	technique	NOUN
cana-2484	5	16	such	such	ADJ
cana-2484	5	17	as	as	ADP
cana-2484	5	18	deep	deep	ADJ
cana-2484	5	19	neural	neural	ADJ
cana-2484	5	20	networks	network	NOUN
cana-2484	5	21	(	(	PUNCT
cana-2484	5	22	dnns	dnn	NOUN
cana-2484	5	23	)	)	PUNCT
cana-2484	5	24	and	and	CCONJ
cana-2484	5	25	fuzzy	fuzzy	ADJ
cana-2484	5	26	logic	logic	NOUN
cana-2484	5	27	in	in	ADP
cana-2484	5	28	the	the	DET
cana-2484	5	29	field	field	NOUN
cana-2484	5	30	of	of	ADP
cana-2484	5	31	medical	medical	ADJ
cana-2484	5	32	diagnostics	diagnostic	NOUN
cana-2484	5	33	because	because	SCONJ
cana-2484	5	34	they	they	PRON
cana-2484	5	35	provide	provide	VERB
cana-2484	5	36	an	an	DET
cana-2484	5	37	efficient	efficient	ADJ
cana-2484	5	38	way	way	NOUN
cana-2484	5	39	to	to	PART
cana-2484	5	40	automate	automate	VERB
cana-2484	5	41	the	the	DET
cana-2484	5	42	processes	process	NOUN
cana-2484	5	43	and	and	CCONJ
cana-2484	5	44	improve	improve	VERB
cana-2484	5	45	disease	disease	NOUN
cana-2484	5	46	detection	detection	NOUN
cana-2484	5	47	.	.	PUNCT
cana-2484	6	1	this	this	DET
cana-2484	6	2	paper	paper	NOUN
cana-2484	6	3	describes	describe	VERB
cana-2484	6	4	our	our	PRON
cana-2484	6	5	methodology	methodology	NOUN
cana-2484	6	6	for	for	ADP
cana-2484	6	7	the	the	DET
cana-2484	6	8	implementation	implementation	NOUN
cana-2484	6	9	of	of	ADP
cana-2484	6	10	dnns	dnn	NOUN
cana-2484	6	11	with	with	ADP
cana-2484	6	12	fuzzy	fuzzy	ADJ
cana-2484	6	13	logic	logic	NOUN
cana-2484	6	14	to	to	ADP
cana-2484	6	15	a	a	DET
cana-2484	6	16	diagnosis	diagnosis	NOUN
cana-2484	6	17	at	at	ADP
cana-2484	6	18	early	early	ADJ
cana-2484	6	19	stage	stage	NOUN
cana-2484	6	20	and	and	CCONJ
cana-2484	6	21	then	then	ADV
cana-2484	6	22	management	management	NOUN
cana-2484	6	23	glaucoma	glaucoma	PROPN
cana-2484	6	24	and	and	CCONJ
cana-2484	6	25	dr	dr	PROPN
cana-2484	6	26	,	,	PUNCT
cana-2484	6	27	two	two	NUM
cana-2484	6	28	most	most	ADV
cana-2484	6	29	common	common	ADJ
cana-2484	6	30	irreversible	irreversible	ADJ
cana-2484	6	31	blinding	blind	VERB
cana-2484	6	32	diseases	disease	NOUN
cana-2484	6	33	worldwide	worldwide	ADV
cana-2484	6	34	.	.	PUNCT
cana-2484	7	1	in	in	ADP
cana-2484	7	2	this	this	DET
cana-2484	7	3	method	method	NOUN
cana-2484	7	4	,	,	PUNCT
cana-2484	7	5	dnns	dnn	NOUN
cana-2484	7	6	are	be	AUX
cana-2484	7	7	used	use	VERB
cana-2484	7	8	for	for	ADP
cana-2484	7	9	interpreting	interpret	VERB
cana-2484	7	10	complex	complex	ADJ
cana-2484	7	11	images	image	NOUN
cana-2484	7	12	associated	associate	VERB
cana-2484	7	13	with	with	ADP
cana-2484	7	14	eye	eye	NOUN
cana-2484	7	15	pathology	pathology	NOUN
cana-2484	7	16	(	(	PUNCT
cana-2484	7	17	fundus	fundus	X
cana-2484	7	18	camera	camera	NOUN
cana-2484	7	19	photographs	photograph	NOUN
cana-2484	7	20	and	and	CCONJ
cana-2484	7	21	optical	optical	ADJ
cana-2484	7	22	coherence	coherence	NOUN
cana-2484	7	23	tomography	tomography	NOUN
cana-2484	7	24	scans	scan	NOUN
cana-2484	7	25	)	)	PUNCT
cana-2484	7	26	,	,	PUNCT
cana-2484	7	27	and	and	CCONJ
cana-2484	7	28	identifying	identify	VERB
cana-2484	7	29	early	early	ADJ
cana-2484	7	30	-	-	PUNCT
cana-2484	7	31	stage	stage	NOUN
cana-2484	7	32	pathological	pathological	ADJ
cana-2484	7	33	signals	signal	NOUN
cana-2484	7	34	for	for	ADP
cana-2484	7	35	glaucoma	glaucoma	NOUN
cana-2484	7	36	and	and	CCONJ
cana-2484	7	37	dr	dr	PROPN
cana-2484	7	38	,	,	PUNCT
cana-2484	7	39	where	where	SCONJ
cana-2484	7	40	the	the	DET
cana-2484	7	41	deep	deep	ADJ
cana-2484	7	42	learning	learning	NOUN
cana-2484	7	43	algorithms	algorithm	NOUN
cana-2484	7	44	are	be	AUX
cana-2484	7	45	trained	train	VERB
cana-2484	7	46	on	on	ADP
cana-2484	7	47	a	a	DET
cana-2484	7	48	large	large	ADJ
cana-2484	7	49	set	set	NOUN
cana-2484	7	50	of	of	ADP
cana-2484	7	51	annotated	annotate	VERB
cana-2484	7	52	retinal	retinal	ADJ
cana-2484	7	53	images	image	NOUN
cana-2484	7	54	to	to	PART
cana-2484	7	55	detect	detect	VERB
cana-2484	7	56	anomalies	anomaly	NOUN
cana-2484	7	57	such	such	ADJ
cana-2484	7	58	as	as	ADP
cana-2484	7	59	optic	optic	ADJ
cana-2484	7	60	nerve	nerve	NOUN
cana-2484	7	61	head	head	NOUN
cana-2484	7	62	pointing	point	VERB
cana-2484	7	63	defects	defect	NOUN
cana-2484	7	64	,	,	PUNCT
cana-2484	7	65	flame	flame	NOUN
cana-2484	7	66	hemorrhages	hemorrhage	NOUN
cana-2484	7	67	or	or	CCONJ
cana-2484	7	68	microaneurysms	microaneurysm	VERB
cana-2484	7	69	separate	separate	ADJ
cana-2484	7	70	classifiers	classifier	NOUN
cana-2484	7	71	that	that	PRON
cana-2484	7	72	engage	engage	VERB
cana-2484	7	73	part	part	NOUN
cana-2484	7	74	of	of	ADP
cana-2484	7	75	the	the	DET
cana-2484	7	76	wider	wide	ADJ
cana-2484	7	77	algorithm	algorithm	NOUN
cana-2484	7	78	.	.	PUNCT
cana-2484	8	1	fuzzy	fuzzy	ADJ
cana-2484	8	2	logic	logic	NOUN
cana-2484	8	3	integration	integration	NOUN
cana-2484	8	4	in	in	ADP
cana-2484	8	5	this	this	DET
cana-2484	8	6	structure	structure	NOUN
cana-2484	8	7	further	far	ADV
cana-2484	8	8	bolsters	bolster	VERB
cana-2484	8	9	the	the	DET
cana-2484	8	10	units	unit	NOUN
cana-2484	8	11	by	by	ADP
cana-2484	8	12	envelope	envelope	NOUN
cana-2484	8	13	to	to	ADP
cana-2484	8	14	conceptual	conceptual	ADJ
cana-2484	8	15	difficulties	difficulty	NOUN
cana-2484	8	16	and	and	CCONJ
cana-2484	8	17	vagueness	vagueness	NOUN
cana-2484	8	18	normally	normally	ADV
cana-2484	8	19	happen	happen	VERB
cana-2484	8	20	in	in	ADP
cana-2484	8	21	medicinal	medicinal	ADJ
cana-2484	8	22	imaging	imaging	NOUN
cana-2484	8	23	,	,	PUNCT
cana-2484	8	24	remarkably	remarkably	ADV
cana-2484	8	25	because	because	SCONJ
cana-2484	8	26	each	each	DET
cana-2484	8	27	proffers	proffer	NOUN
cana-2484	8	28	function	function	VERB
cana-2484	8	29	from	from	ADP
cana-2484	8	30	a	a	DET
cana-2484	8	31	border	border	NOUN
cana-2484	8	32	zone	zone	NOUN
cana-2484	8	33	someplace	someplace	ADP
cana-2484	8	34	attributes	attribute	VERB
cana-2484	8	35	engine	engine	NOUN
cana-2484	8	36	be	be	AUX
cana-2484	8	37	foggy	foggy	ADJ
cana-2484	8	38	alternatively	alternatively	ADV
cana-2484	8	39	might	might	AUX
cana-2484	8	40	contrast	contrast	VERB
cana-2484	8	41	between	between	ADP
cana-2484	8	42	patients	patient	NOUN
cana-2484	8	43	.	.	PUNCT
cana-2484	9	1	fuzzy	fuzzy	ADJ
cana-2484	9	2	logic	logic	NOUN
cana-2484	9	3	fuzzy	fuzzy	ADJ
cana-2484	9	4	logic	logic	NOUN
cana-2484	9	5	could	could	AUX
cana-2484	9	6	be	be	AUX
cana-2484	9	7	used	use	VERB
cana-2484	9	8	to	to	PART
cana-2484	9	9	improve	improve	VERB
cana-2484	9	10	decision	decision	NOUN
cana-2484	9	11	-	-	PUNCT
cana-2484	9	12	making	making	NOUN
cana-2484	9	13	by	by	ADP
cana-2484	9	14	defining	define	VERB
cana-2484	9	15	the	the	DET
cana-2484	9	16	extent	extent	NOUN
cana-2484	9	17	of	of	ADP
cana-2484	9	18	disease	disease	NOUN
cana-2484	9	19	severity	severity	NOUN
cana-2484	9	20	and	and	CCONJ
cana-2484	9	21	straightforward	straightforward	ADJ
cana-2484	9	22	outputs	output	NOUN
cana-2484	9	23	in	in	ADP
cana-2484	9	24	order	order	NOUN
cana-2484	9	25	to	to	PART
cana-2484	9	26	allow	allow	VERB
cana-2484	9	27	clinicians	clinician	NOUN
cana-2484	9	28	to	to	PART
cana-2484	9	29	enhance	enhance	VERB
cana-2484	9	30	treatment	treatment	NOUN
cana-2484	9	31	decisions	decision	NOUN
cana-2484	9	32	.	.	PUNCT
cana-2484	10	1	the	the	DET
cana-2484	10	2	deployment	deployment	NOUN
cana-2484	10	3	not	not	PART
cana-2484	10	4	only	only	ADV
cana-2484	10	5	looks	look	VERB
cana-2484	10	6	for	for	ADP
cana-2484	10	7	the	the	DET
cana-2484	10	8	technical	technical	ADJ
cana-2484	10	9	success	success	NOUN
cana-2484	10	10	of	of	ADP
cana-2484	10	11	such	such	DET
cana-2484	10	12	a	a	DET
cana-2484	10	13	combination	combination	NOUN
cana-2484	10	14	but	but	CCONJ
cana-2484	10	15	also	also	ADV
cana-2484	10	16	solutions	solution	NOUN
cana-2484	10	17	for	for	ADP
cana-2484	10	18	its	its	PRON
cana-2484	10	19	computational	computational	ADJ
cana-2484	10	20	burden	burden	NOUN
cana-2484	10	21	,	,	PUNCT
cana-2484	10	22	or	or	CCONJ
cana-2484	10	23	answering	answer	VERB
cana-2484	10	24	addressing	address	VERB
cana-2484	10	25	issues	issue	NOUN
cana-2484	10	26	related	relate	VERB
cana-2484	10	27	to	to	ADP
cana-2484	10	28	data	datum	NOUN
cana-2484	10	29	quality	quality	NOUN
cana-2484	10	30	and	and	CCONJ
cana-2484	10	31	real	real	ADJ
cana-2484	10	32	-	-	PUNCT
cana-2484	10	33	time	time	NOUN
cana-2484	10	34	processing	processing	NOUN
cana-2484	10	35	requirements	requirement	NOUN
cana-2484	10	36	.	.	PUNCT
cana-2484	11	1	results	result	NOUN
cana-2484	11	2	in	in	ADP
cana-2484	11	3	this	this	DET
cana-2484	11	4	preclinical	preclinical	ADJ
cana-2484	11	5	testing	testing	NOUN
cana-2484	11	6	session	session	NOUN
cana-2484	11	7	exhibit	exhibit	VERB
cana-2484	11	8	the	the	DET
cana-2484	11	9	potential	potential	NOUN
cana-2484	11	10	of	of	ADP
cana-2484	11	11	the	the	DET
cana-2484	11	12	system	system	NOUN
cana-2484	11	13	to	to	PART
cana-2484	11	14	not	not	PART
cana-2484	11	15	only	only	ADV
cana-2484	11	16	enhance	enhance	VERB
cana-2484	11	17	diagnostic	diagnostic	ADJ
cana-2484	11	18	accurateness	accurateness	NOUN
cana-2484	11	19	and	and	CCONJ
cana-2484	11	20	speed	speed	NOUN
cana-2484	11	21	,	,	PUNCT
cana-2484	11	22	but	but	CCONJ
cana-2484	11	23	also	also	ADV
cana-2484	11	24	hint	hint	VERB
cana-2484	11	25	at	at	ADP
cana-2484	11	26	deployable	deployable	ADJ
cana-2484	11	27	conditions	condition	NOUN
cana-2484	11	28	such	such	ADJ
cana-2484	11	29	as	as	ADP
cana-2484	11	30	resource	resource	NOUN
cana-2484	11	31	-	-	PUNCT
cana-2484	11	32	limited	limit	VERB
cana-2484	11	33	clinical	clinical	ADJ
cana-2484	11	34	settings	setting	NOUN
cana-2484	11	35	,	,	PUNCT
cana-2484	11	36	especially	especially	ADV
cana-2484	11	37	in	in	ADP
cana-2484	11	38	areas	area	NOUN
cana-2484	11	39	with	with	ADP
cana-2484	11	40	low	low	ADJ
cana-2484	11	41	access	access	NOUN
cana-2484	11	42	to	to	ADP
cana-2484	11	43	specific	specific	ADJ
cana-2484	11	44	healthcare	healthcare	NOUN
cana-2484	11	45	professionals	professional	NOUN
cana-2484	11	46	.	.	PUNCT
cana-2484	12	1	the	the	DET
cana-2484	12	2	approach	approach	NOUN
cana-2484	12	3	will	will	AUX
cana-2484	12	4	be	be	AUX
cana-2484	12	5	refined	refine	VERB
cana-2484	12	6	with	with	ADP
cana-2484	12	7	future	future	ADJ
cana-2484	12	8	work	work	NOUN
cana-2484	12	9	in	in	ADP
cana-2484	12	10	order	order	NOUN
cana-2484	12	11	to	to	PART
cana-2484	12	12	use	use	VERB
cana-2484	12	13	the	the	DET
cana-2484	12	14	algorithm	algorithm	NOUN
cana-2484	12	15	on	on	ADP
cana-2484	12	16	a	a	DET
cana-2484	12	17	larger	large	ADJ
cana-2484	12	18	dataset	dataset	NOUN
cana-2484	12	19	,	,	PUNCT
cana-2484	12	20	and	and	CCONJ
cana-2484	12	21	clinical	clinical	ADJ
cana-2484	12	22	trials	trial	NOUN
cana-2484	12	23	should	should	AUX
cana-2484	12	24	be	be	AUX
cana-2484	12	25	performed	perform	VERB
cana-2484	12	26	in	in	ADP
cana-2484	12	27	real	real	ADJ
cana-2484	12	28	-	-	PUNCT
cana-2484	12	29	world	world	NOUN
cana-2484	12	30	clinical	clinical	ADJ
cana-2484	12	31	settings	setting	NOUN
cana-2484	12	32	using	use	VERB
cana-2484	12	33	more	more	ADV
cana-2484	12	34	diverse	diverse	ADJ
cana-2484	12	35	patient	patient	ADJ
cana-2484	12	36	populations	population	NOUN
cana-2484	12	37	.	.	PUNCT
cana-2484	13	1	this	this	DET
cana-2484	13	2	implementation	implementation	NOUN
cana-2484	13	3	strategy	strategy	NOUN
cana-2484	13	4	holds	hold	VERB
cana-2484	13	5	great	great	ADJ
cana-2484	13	6	promise	promise	NOUN
cana-2484	13	7	for	for	ADP
cana-2484	13	8	eye	eye	NOUN
cana-2484	13	9	care	care	NOUN
cana-2484	13	10	in	in	ADP
cana-2484	13	11	revolutionizing	revolutionize	VERB
cana-2484	13	12	early	early	ADJ
cana-2484	13	13	detection	detection	NOUN
cana-2484	13	14	and	and	CCONJ
cana-2484	13	15	timely	timely	ADJ
cana-2484	13	16	mailto:arunravula12@gmail.com	mailto:arunravula12@gmail.com	PROPN
cana-2484	13	17	mailto:nemichandra@cub.ac.in	mailto:nemichandra@cub.ac.in	VERB
cana-2484	13	18	mailto:sneha.nahatkar@gmail.com	mailto:sneha.nahatkar@gmail.com	PROPN
cana-2484	13	19	mailto:rita.bansal@sanskarsarjan.org	mailto:rita.bansal@sanskarsarjan.org	PROPN
cana-2484	13	20	mailto:smithabm17@gmail.com	mailto:smithabm17@gmail.com	X
cana-2484	13	21	mailto:potlurisrilakshmi@gmail.com	mailto:potlurisrilakshmi@gmail.com	PROPN
cana-2484	13	22	communications	communication	NOUN
cana-2484	13	23	on	on	ADP
cana-2484	13	24	applied	apply	VERB
cana-2484	13	25	nonlinear	nonlinear	ADJ
cana-2484	13	26	analysis	analysis	NOUN
cana-2484	13	27	issn	issn	NOUN
cana-2484	13	28	:	:	PUNCT
cana-2484	13	29	1074	1074	NUM
cana-2484	13	30	-	-	PUNCT
cana-2484	13	31	133x	133x	NUM
cana-2484	13	32	vol	vol	NOUN
cana-2484	13	33	32	32	NUM
cana-2484	13	34	no	no	NOUN
cana-2484	13	35	.	.	PUNCT
cana-2484	14	1	2s	2s	NUM
cana-2484	14	2	(	(	PUNCT
cana-2484	14	3	2025	2025	NUM
cana-2484	14	4	)	)	PUNCT
cana-2484	14	5	494	494	NUM
cana-2484	14	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2484	14	7	intervention	intervention	NOUN
cana-2484	14	8	for	for	ADP
cana-2484	14	9	glaucoma	glaucoma	NOUN
cana-2484	14	10	and	and	CCONJ
cana-2484	14	11	dr	dr	PROPN
cana-2484	14	12	leading	lead	VERB
cana-2484	14	13	to	to	ADP
cana-2484	14	14	improved	improve	VERB
cana-2484	14	15	patient	patient	ADJ
cana-2484	14	16	care	care	NOUN
cana-2484	14	17	,	,	PUNCT
cana-2484	14	18	and	and	CCONJ
cana-2484	14	19	lower	low	ADJ
cana-2484	14	20	rates	rate	NOUN
cana-2484	14	21	of	of	ADP
cana-2484	14	22	vision	vision	NOUN
cana-2484	14	23	loss	loss	NOUN
cana-2484	14	24	.	.	PUNCT
cana-2484	15	1	keywords	keyword	NOUN
cana-2484	15	2	:	:	PUNCT
cana-2484	15	3	neural	neural	ADJ
cana-2484	15	4	network	network	NOUN
cana-2484	15	5	,	,	PUNCT
cana-2484	15	6	glaucoma	glaucoma	NOUN
cana-2484	15	7	treatment	treatment	NOUN
cana-2484	15	8	,	,	PUNCT
cana-2484	15	9	fuzzy	fuzzy	ADJ
cana-2484	15	10	logic	logic	NOUN
cana-2484	15	11	.	.	PUNCT
cana-2484	16	1	1	1	X
cana-2484	16	2	.	.	X
cana-2484	16	3	introduction	introduction	NOUN
cana-2484	16	4	:	:	PUNCT
cana-2484	16	5	glaucoma	glaucoma	NOUN
cana-2484	16	6	and	and	CCONJ
cana-2484	16	7	diabetic	diabetic	ADJ
cana-2484	16	8	retinopathy	retinopathy	ADJ
cana-2484	16	9	(	(	PUNCT
cana-2484	16	10	dr	dr	NOUN
cana-2484	16	11	)	)	PUNCT
cana-2484	16	12	are	be	AUX
cana-2484	16	13	among	among	ADP
cana-2484	16	14	the	the	DET
cana-2484	16	15	leading	lead	VERB
cana-2484	16	16	causes	cause	NOUN
cana-2484	16	17	of	of	ADP
cana-2484	16	18	irreversible	irreversible	ADJ
cana-2484	16	19	vision	vision	NOUN
cana-2484	16	20	impairment	impairment	NOUN
cana-2484	16	21	and	and	CCONJ
cana-2484	16	22	blindness	blindness	NOUN
cana-2484	16	23	globally	globally	ADV
cana-2484	16	24	,	,	PUNCT
cana-2484	16	25	particularly	particularly	ADV
cana-2484	16	26	in	in	ADP
cana-2484	16	27	the	the	DET
cana-2484	16	28	area	area	NOUN
cana-2484	16	29	of	of	ADP
cana-2484	16	30	ophthalmology	ophthalmology	NOUN
cana-2484	16	31	.	.	PUNCT
cana-2484	17	1	unfortunately	unfortunately	ADV
cana-2484	17	2	,	,	PUNCT
cana-2484	17	3	because	because	SCONJ
cana-2484	17	4	delayed	delayed	ADJ
cana-2484	17	5	detection	detection	NOUN
cana-2484	17	6	results	result	NOUN
cana-2484	17	7	in	in	ADP
cana-2484	17	8	severe	severe	ADJ
cana-2484	17	9	complications	complication	NOUN
cana-2484	17	10	and	and	CCONJ
cana-2484	17	11	even	even	ADV
cana-2484	17	12	vision	vision	NOUN
cana-2484	17	13	loss	loss	VERB
cana-2484	17	14	early	early	ADJ
cana-2484	17	15	diagnosis	diagnosis	NOUN
cana-2484	17	16	with	with	ADP
cana-2484	17	17	proper	proper	ADJ
cana-2484	17	18	intervention	intervention	NOUN
cana-2484	17	19	is	be	AUX
cana-2484	17	20	important	important	ADJ
cana-2484	17	21	for	for	ADP
cana-2484	17	22	effective	effective	ADJ
cana-2484	17	23	management	management	NOUN
cana-2484	17	24	of	of	ADP
cana-2484	17	25	these	these	DET
cana-2484	17	26	diseases	disease	NOUN
cana-2484	17	27	.	.	PUNCT
cana-2484	18	1	recent	recent	ADJ
cana-2484	18	2	technological	technological	ADJ
cana-2484	18	3	advancements	advancement	NOUN
cana-2484	18	4	in	in	ADP
cana-2484	18	5	medical	medical	ADJ
cana-2484	18	6	imaging	imaging	NOUN
cana-2484	18	7	and	and	CCONJ
cana-2484	18	8	computational	computational	ADJ
cana-2484	18	9	tools	tool	NOUN
cana-2484	18	10	have	have	AUX
cana-2484	18	11	paved	pave	VERB
cana-2484	18	12	the	the	DET
cana-2484	18	13	way	way	NOUN
cana-2484	18	14	for	for	ADP
cana-2484	18	15	enhancing	enhance	VERB
cana-2484	18	16	both	both	DET
cana-2484	18	17	accuracy	accuracy	NOUN
cana-2484	18	18	and	and	CCONJ
cana-2484	18	19	efficiency	efficiency	NOUN
cana-2484	18	20	of	of	ADP
cana-2484	18	21	diagnosis	diagnosis	NOUN
cana-2484	18	22	and	and	CCONJ
cana-2484	18	23	treatment	treatment	NOUN
cana-2484	18	24	over	over	ADP
cana-2484	18	25	the	the	DET
cana-2484	18	26	last	last	ADJ
cana-2484	18	27	few	few	ADJ
cana-2484	18	28	decades	decade	NOUN
cana-2484	18	29	.	.	PUNCT
cana-2484	19	1	one	one	NUM
cana-2484	19	2	of	of	ADP
cana-2484	19	3	the	the	DET
cana-2484	19	4	most	most	ADV
cana-2484	19	5	effective	effective	ADJ
cana-2484	19	6	methodologies	methodology	NOUN
cana-2484	19	7	is	be	AUX
cana-2484	19	8	associated	associate	VERB
cana-2484	19	9	with	with	ADP
cana-2484	19	10	the	the	DET
cana-2484	19	11	use	use	ADJ
cana-2484	19	12	artificial	artificial	ADJ
cana-2484	19	13	intelligence	intelligence	NOUN
cana-2484	19	14	(	(	PUNCT
cana-2484	19	15	ai	ai	NOUN
cana-2484	19	16	)	)	PUNCT
cana-2484	19	17	methods	method	NOUN
cana-2484	19	18	,	,	PUNCT
cana-2484	19	19	such	such	ADJ
cana-2484	19	20	deep	deep	ADJ
cana-2484	19	21	neural	neural	ADJ
cana-2484	19	22	networks	network	NOUN
cana-2484	19	23	(	(	PUNCT
cana-2484	19	24	dnns	dnn	NOUN
cana-2484	19	25	)	)	PUNCT
cana-2484	19	26	,	,	PUNCT
cana-2484	19	27	matched	match	VERB
cana-2484	19	28	with	with	ADP
cana-2484	19	29	fuzzy	fuzzy	ADJ
cana-2484	19	30	logic	logic	NOUN
cana-2484	19	31	systems	system	NOUN
cana-2484	19	32	.	.	PUNCT
cana-2484	20	1	this	this	DET
cana-2484	20	2	paper	paper	NOUN
cana-2484	20	3	outlines	outline	VERB
cana-2484	20	4	an	an	DET
cana-2484	20	5	introduction	introduction	NOUN
cana-2484	20	6	of	of	ADP
cana-2484	20	7	these	these	DET
cana-2484	20	8	applications	application	NOUN
cana-2484	20	9	in	in	ADP
cana-2484	20	10	the	the	DET
cana-2484	20	11	realm	realm	NOUN
cana-2484	20	12	of	of	ADP
cana-2484	20	13	early	early	ADJ
cana-2484	20	14	glaucoma	glaucoma	NOUN
cana-2484	20	15	and	and	CCONJ
cana-2484	20	16	diabetic	diabetic	ADJ
cana-2484	20	17	retinopathy	retinopathy	ADJ
cana-2484	20	18	diagnosis	diagnosis	NOUN
cana-2484	20	19	and	and	CCONJ
cana-2484	20	20	treatment	treatment	NOUN
cana-2484	20	21	,	,	PUNCT
cana-2484	20	22	with	with	ADP
cana-2484	20	23	a	a	DET
cana-2484	20	24	focus	focus	NOUN
cana-2484	20	25	on	on	ADP
cana-2484	20	26	their	their	PRON
cana-2484	20	27	role	role	NOUN
cana-2484	20	28	in	in	ADP
cana-2484	20	29	increasing	increase	VERB
cana-2484	20	30	accuracy	accuracy	NOUN
cana-2484	20	31	of	of	ADP
cana-2484	20	32	diagnostics	diagnostic	NOUN
cana-2484	20	33	,	,	PUNCT
cana-2484	20	34	better	well	ADJ
cana-2484	20	35	patient	patient	ADJ
cana-2484	20	36	outcomes	outcome	NOUN
cana-2484	20	37	as	as	ADV
cana-2484	20	38	well	well	ADV
cana-2484	20	39	as	as	ADP
cana-2484	20	40	optimizing	optimize	VERB
cana-2484	20	41	workflows	workflow	NOUN
cana-2484	20	42	within	within	ADP
cana-2484	20	43	clinical	clinical	ADJ
cana-2484	20	44	practice[1	practice[1	NOUN
cana-2484	20	45	]	]	PUNCT
cana-2484	20	46	.	.	PUNCT
cana-2484	21	1	the	the	DET
cana-2484	21	2	burden	burden	NOUN
cana-2484	21	3	of	of	ADP
cana-2484	21	4	glaucoma	glaucoma	NOUN
cana-2484	21	5	and	and	CCONJ
cana-2484	21	6	diabetic	diabetic	ADJ
cana-2484	21	7	retinopathy	retinopathy	ADJ
cana-2484	21	8	version	version	NOUN
cana-2484	21	9	:	:	PUNCT
cana-2484	21	10	overview	overview	NOUN
cana-2484	21	11	of	of	ADP
cana-2484	21	12	glaucoma	glaucoma	NOUN
cana-2484	21	13	is	be	AUX
cana-2484	21	14	a	a	DET
cana-2484	21	15	category	category	NOUN
cana-2484	21	16	of	of	ADP
cana-2484	21	17	diseases	disease	NOUN
cana-2484	21	18	in	in	ADP
cana-2484	21	19	which	which	PRON
cana-2484	21	20	there	there	PRON
cana-2484	21	21	is	be	VERB
cana-2484	21	22	large	large	ADJ
cana-2484	21	23	scale	scale	NOUN
cana-2484	21	24	irreversible	irreversible	ADJ
cana-2484	21	25	loss	loss	NOUN
cana-2484	21	26	of	of	ADP
cana-2484	21	27	optic	optic	ADJ
cana-2484	21	28	nerve	nerve	NOUN
cana-2484	21	29	fibres	fibre	NOUN
cana-2484	21	30	due	due	ADJ
cana-2484	21	31	to	to	ADP
cana-2484	21	32	abnormally	abnormally	ADV
cana-2484	21	33	high	high	ADJ
cana-2484	21	34	intraocular	intraocular	ADJ
cana-2484	21	35	pressure	pressure	NOUN
cana-2484	21	36	(	(	PUNCT
cana-2484	21	37	iop	iop	PROPN
cana-2484	21	38	)	)	PUNCT
cana-2484	21	39	.	.	PUNCT
cana-2484	22	1	blind	blind	ADJ
cana-2484	22	2	spots	spot	NOUN
cana-2484	22	3	grow	grow	VERB
cana-2484	22	4	in	in	ADP
cana-2484	22	5	the	the	DET
cana-2484	22	6	field	field	NOUN
cana-2484	22	7	of	of	ADP
cana-2484	22	8	vision	vision	NOUN
cana-2484	22	9	as	as	SCONJ
cana-2484	22	10	the	the	DET
cana-2484	22	11	optic	optic	ADJ
cana-2484	22	12	nerve	nerve	NOUN
cana-2484	22	13	continues	continue	VERB
cana-2484	22	14	to	to	PART
cana-2484	22	15	deteriorate	deteriorate	VERB
cana-2484	22	16	,	,	PUNCT
cana-2484	22	17	eventually	eventually	ADV
cana-2484	22	18	causing	cause	VERB
cana-2484	22	19	irreversible	irreversible	ADJ
cana-2484	22	20	consequences	consequence	NOUN
cana-2484	22	21	with	with	ADP
cana-2484	22	22	respect	respect	NOUN
cana-2484	22	23	to	to	ADP
cana-2484	22	24	vision	vision	NOUN
cana-2484	22	25	loss	loss	NOUN
cana-2484	22	26	.	.	PUNCT
cana-2484	23	1	it	it	PRON
cana-2484	23	2	's	be	AUX
cana-2484	23	3	often	often	ADV
cana-2484	23	4	called	call	VERB
cana-2484	23	5	the	the	DET
cana-2484	23	6	"	"	PUNCT
cana-2484	23	7	silent	silent	ADJ
cana-2484	23	8	thief	thief	NOUN
cana-2484	23	9	of	of	ADP
cana-2484	23	10	sight	sight	NOUN
cana-2484	23	11	"	"	PUNCT
cana-2484	23	12	because	because	SCONJ
cana-2484	23	13	it	it	PRON
cana-2484	23	14	has	have	VERB
cana-2484	23	15	few	few	ADJ
cana-2484	23	16	symptoms	symptom	NOUN
cana-2484	23	17	until	until	ADP
cana-2484	23	18	the	the	DET
cana-2484	23	19	late	late	ADJ
cana-2484	23	20	stages	stage	NOUN
cana-2484	23	21	and	and	CCONJ
cana-2484	23	22	progresses	progress	NOUN
cana-2484	23	23	slowly	slowly	ADV
cana-2484	23	24	.	.	PUNCT
cana-2484	24	1	while	while	SCONJ
cana-2484	24	2	diabetic	diabetic	ADJ
cana-2484	24	3	retinopathy	retinopathy	NOUN
cana-2484	24	4	is	be	AUX
cana-2484	24	5	actually	actually	ADV
cana-2484	24	6	also	also	ADV
cana-2484	24	7	a	a	DET
cana-2484	24	8	complication	complication	NOUN
cana-2484	24	9	related	relate	VERB
cana-2484	24	10	to	to	ADP
cana-2484	24	11	diabetes	diabetes	NOUN
cana-2484	24	12	,	,	PUNCT
cana-2484	24	13	and	and	CCONJ
cana-2484	24	14	it	it	PRON
cana-2484	24	15	has	have	VERB
cana-2484	24	16	to	to	PART
cana-2484	24	17	do	do	VERB
cana-2484	24	18	with	with	ADP
cana-2484	24	19	the	the	DET
cana-2484	24	20	blood	blood	NOUN
cana-2484	24	21	vessels	vessel	NOUN
cana-2484	24	22	in	in	ADP
cana-2484	24	23	the	the	DET
cana-2484	24	24	retina	retina	NOUN
cana-2484	24	25	.	.	PUNCT
cana-2484	25	1	continuous	continuous	ADJ
cana-2484	25	2	high	high	ADJ
cana-2484	25	3	blood	blood	NOUN
cana-2484	25	4	sugar	sugar	NOUN
cana-2484	25	5	can	can	AUX
cana-2484	25	6	make	make	VERB
cana-2484	25	7	those	those	DET
cana-2484	25	8	veins	vein	NOUN
cana-2484	25	9	swell	swell	VERB
cana-2484	25	10	,	,	PUNCT
cana-2484	25	11	trickle	trickle	NOUN
cana-2484	25	12	,	,	PUNCT
cana-2484	25	13	and	and	CCONJ
cana-2484	25	14	some	some	PRON
cana-2484	25	15	of	of	ADP
cana-2484	25	16	the	the	DET
cana-2484	25	17	time	time	NOUN
cana-2484	25	18	near	near	ADP
cana-2484	25	19	the	the	DET
cana-2484	25	20	end	end	NOUN
cana-2484	25	21	to	to	PART
cana-2484	25	22	keep	keep	VERB
cana-2484	25	23	blood	blood	NOUN
cana-2484	25	24	from	from	ADP
cana-2484	25	25	getting	get	VERB
cana-2484	25	26	to	to	PART
cana-2484	25	27	be	be	AUX
cana-2484	25	28	plainly	plainly	ADV
cana-2484	25	29	serenaded	serenade	VERB
cana-2484	25	30	.	.	PUNCT
cana-2484	26	1	the	the	DET
cana-2484	26	2	blood	blood	NOUN
cana-2484	26	3	vessels	vessel	NOUN
cana-2484	26	4	of	of	ADP
cana-2484	26	5	the	the	DET
cana-2484	26	6	retina	retina	NOUN
cana-2484	26	7	develop	develop	VERB
cana-2484	26	8	into	into	ADP
cana-2484	26	9	thick	thick	ADJ
cana-2484	26	10	branches	branch	NOUN
cana-2484	26	11	and	and	CCONJ
cana-2484	26	12	scar	scar	ADJ
cana-2484	26	13	tissue	tissue	NOUN
cana-2484	26	14	that	that	PRON
cana-2484	26	15	pull	pull	VERB
cana-2484	26	16	on	on	ADP
cana-2484	26	17	the	the	DET
cana-2484	26	18	retina	retina	NOUN
cana-2484	26	19	and	and	CCONJ
cana-2484	26	20	cause	cause	VERB
cana-2484	26	21	it	it	PRON
cana-2484	26	22	to	to	PART
cana-2484	26	23	tear	tear	VERB
cana-2484	26	24	and	and	CCONJ
cana-2484	26	25	detach	detach	VERB
cana-2484	26	26	.	.	PUNCT
cana-2484	27	1	both	both	DET
cana-2484	27	2	diseases	disease	NOUN
cana-2484	27	3	suffer	suffer	VERB
cana-2484	27	4	from	from	ADP
cana-2484	27	5	the	the	DET
cana-2484	27	6	same	same	ADJ
cana-2484	27	7	(	(	PUNCT
cana-2484	27	8	unsatisfactory	unsatisfactory	ADJ
cana-2484	27	9	)	)	PUNCT
cana-2484	27	10	challenge	challenge	NOUN
cana-2484	27	11	:	:	PUNCT
cana-2484	27	12	their	their	PRON
cana-2484	27	13	symptoms	symptom	NOUN
cana-2484	27	14	emerge	emerge	VERB
cana-2484	27	15	long	long	ADV
cana-2484	27	16	after	after	SCONJ
cana-2484	27	17	damage	damage	NOUN
cana-2484	27	18	has	have	AUX
cana-2484	27	19	already	already	ADV
cana-2484	27	20	happened	happen	VERB
cana-2484	27	21	,	,	PUNCT
cana-2484	27	22	and	and	CCONJ
cana-2484	27	23	when	when	SCONJ
cana-2484	27	24	it	it	PRON
cana-2484	27	25	is	be	AUX
cana-2484	27	26	often	often	ADV
cana-2484	27	27	too	too	ADV
cana-2484	27	28	late	late	ADJ
cana-2484	27	29	to	to	PART
cana-2484	27	30	reverse	reverse	VERB
cana-2484	27	31	.	.	PUNCT
cana-2484	28	1	hence	hence	ADV
cana-2484	28	2	,	,	PUNCT
cana-2484	28	3	the	the	DET
cana-2484	28	4	importance	importance	NOUN
cana-2484	28	5	of	of	ADP
cana-2484	28	6	early	early	ADJ
cana-2484	28	7	detection	detection	NOUN
cana-2484	28	8	to	to	PART
cana-2484	28	9	avoid	avoid	VERB
cana-2484	28	10	complications	complication	NOUN
cana-2484	28	11	and	and	CCONJ
cana-2484	28	12	treat	treat	VERB
cana-2484	28	13	in	in	ADP
cana-2484	28	14	time	time	NOUN
cana-2484	28	15	.	.	PUNCT
cana-2484	29	1	a	a	DET
cana-2484	29	2	main	main	ADJ
cana-2484	29	3	stay	stay	NOUN
cana-2484	29	4	of	of	ADP
cana-2484	29	5	traditional	traditional	ADJ
cana-2484	29	6	methods	method	NOUN
cana-2484	29	7	for	for	ADP
cana-2484	29	8	detection	detection	NOUN
cana-2484	29	9	and	and	CCONJ
cana-2484	29	10	diagnosis	diagnosis	NOUN
cana-2484	29	11	of	of	ADP
cana-2484	29	12	glaucoma	glaucoma	NOUN
cana-2484	29	13	and	and	CCONJ
cana-2484	29	14	dr	dr	PROPN
cana-2484	29	15	include	include	VERB
cana-2484	29	16	;	;	PUNCT
cana-2484	29	17	fundus	fundus	NOUN
cana-2484	29	18	photography	photography	NOUN
cana-2484	29	19	,	,	PUNCT
cana-2484	29	20	optical	optical	ADJ
cana-2484	29	21	coherence	coherence	NOUN
cana-2484	29	22	tomography	tomography	NOUN
cana-2484	29	23	(	(	PUNCT
cana-2484	29	24	oct	oct	NOUN
cana-2484	29	25	)	)	PUNCT
cana-2484	29	26	and	and	CCONJ
cana-2484	29	27	visual	visual	ADJ
cana-2484	29	28	field	field	NOUN
cana-2484	29	29	will	will	AUX
cana-2484	29	30	depend	depend	VERB
cana-2484	29	31	on	on	ADP
cana-2484	29	32	ophthalmologist	ophthalmologist	ADJ
cana-2484	29	33	expertise	expertise	NOUN
cana-2484	29	34	.	.	PUNCT
cana-2484	30	1	although	although	SCONJ
cana-2484	30	2	these	these	DET
cana-2484	30	3	conventional	conventional	ADJ
cana-2484	30	4	manual	manual	ADJ
cana-2484	30	5	methods	method	NOUN
cana-2484	30	6	are	be	AUX
cana-2484	30	7	effective	effective	ADJ
cana-2484	30	8	to	to	ADP
cana-2484	30	9	some	some	DET
cana-2484	30	10	extent	extent	NOUN
cana-2484	30	11	,	,	PUNCT
cana-2484	30	12	they	they	PRON
cana-2484	30	13	are	be	AUX
cana-2484	30	14	time	time	NOUN
cana-2484	30	15	-	-	PUNCT
cana-2484	30	16	consuming	consume	VERB
cana-2484	30	17	and	and	CCONJ
cana-2484	30	18	subject	subject	NOUN
cana-2484	30	19	to	to	ADP
cana-2484	30	20	human	human	ADJ
cana-2484	30	21	error	error	NOUN
cana-2484	30	22	and	and	CCONJ
cana-2484	30	23	not	not	PART
cana-2484	30	24	scalable	scalable	ADJ
cana-2484	30	25	,	,	PUNCT
cana-2484	30	26	especially	especially	ADV
cana-2484	30	27	in	in	ADP
cana-2484	30	28	resource	resource	NOUN
cana-2484	30	29	-	-	PUNCT
cana-2484	30	30	constrained	constrain	VERB
cana-2484	30	31	settings[2,3	settings[2,3	NOUN
cana-2484	30	32	]	]	PUNCT
cana-2484	30	33	.	.	PUNCT
cana-2484	31	1	the	the	DET
cana-2484	31	2	requirement	requirement	NOUN
cana-2484	31	3	of	of	ADP
cana-2484	31	4	diagnostic	diagnostic	ADJ
cana-2484	31	5	tools	tool	NOUN
cana-2484	31	6	that	that	PRON
cana-2484	31	7	are	be	AUX
cana-2484	31	8	automated	automate	VERB
cana-2484	31	9	,	,	PUNCT
cana-2484	31	10	accurate	accurate	ADJ
cana-2484	31	11	,	,	PUNCT
cana-2484	31	12	and	and	CCONJ
cana-2484	31	13	widely	widely	ADV
cana-2484	31	14	accessible	accessible	ADJ
cana-2484	31	15	has	have	AUX
cana-2484	31	16	fueled	fuel	VERB
cana-2484	31	17	a	a	DET
cana-2484	31	18	growing	grow	VERB
cana-2484	31	19	interest	interest	NOUN
cana-2484	31	20	in	in	ADP
cana-2484	31	21	machine	machine	NOUN
cana-2484	31	22	learning	learn	VERB
cana-2484	31	23	techniques	technique	NOUN
cana-2484	31	24	especially	especially	ADV
cana-2484	31	25	dnns	dnn	NOUN
cana-2484	31	26	and	and	CCONJ
cana-2484	31	27	the	the	DET
cana-2484	31	28	fusion	fusion	NOUN
cana-2484	31	29	of	of	ADP
cana-2484	31	30	fuzzy	fuzzy	ADJ
cana-2484	31	31	logic	logic	NOUN
cana-2484	31	32	for	for	ADP
cana-2484	31	33	more	more	ADV
cana-2484	31	34	sophisticated	sophisticated	ADJ
cana-2484	31	35	decision	decision	NOUN
cana-2484	31	36	-	-	PUNCT
cana-2484	31	37	making	making	NOUN
cana-2484	31	38	.	.	PUNCT
cana-2484	32	1	ophthalmology	ophthalmology	NOUN
cana-2484	32	2	(	(	PUNCT
cana-2484	32	3	deep	deep	ADJ
cana-2484	32	4	neural	neural	ADJ
cana-2484	32	5	networks	network	NOUN
cana-2484	32	6	):	):	PUNCT
cana-2484	32	7	one	one	NUM
cana-2484	32	8	of	of	ADP
cana-2484	32	9	the	the	DET
cana-2484	32	10	most	most	ADV
cana-2484	32	11	promising	promising	ADJ
cana-2484	32	12	aspects	aspect	NOUN
cana-2484	32	13	of	of	ADP
cana-2484	32	14	machine	machine	NOUN
cana-2484	32	15	learning	learning	NOUN
cana-2484	32	16	,	,	PUNCT
cana-2484	32	17	especially	especially	ADV
cana-2484	32	18	when	when	SCONJ
cana-2484	32	19	considering	consider	VERB
cana-2484	32	20	image	image	NOUN
cana-2484	32	21	recognition	recognition	NOUN
cana-2484	32	22	and	and	CCONJ
cana-2484	32	23	classification	classification	NOUN
cana-2484	32	24	,	,	PUNCT
cana-2484	32	25	is	be	AUX
cana-2484	32	26	deep	deep	ADJ
cana-2484	32	27	learning	learning	NOUN
cana-2484	32	28	.	.	PUNCT
cana-2484	33	1	dnns	dnn	NOUN
cana-2484	33	2	,	,	PUNCT
cana-2484	33	3	the	the	DET
cana-2484	33	4	layers	layer	NOUN
cana-2484	33	5	of	of	ADP
cana-2484	33	6	which	which	PRON
cana-2484	33	7	are	be	AUX
cana-2484	33	8	connected	connect	VERB
cana-2484	33	9	in	in	ADP
cana-2484	33	10	a	a	DET
cana-2484	33	11	similar	similar	ADJ
cana-2484	33	12	way	way	NOUN
cana-2484	33	13	to	to	ADP
cana-2484	33	14	neurons	neuron	NOUN
cana-2484	33	15	in	in	ADP
cana-2484	33	16	the	the	DET
cana-2484	33	17	human	human	ADJ
cana-2484	33	18	brain	brain	NOUN
cana-2484	33	19	,	,	PUNCT
cana-2484	33	20	have	have	AUX
cana-2484	33	21	demonstrated	demonstrate	VERB
cana-2484	33	22	impressive	impressive	ADJ
cana-2484	33	23	performance	performance	NOUN
cana-2484	33	24	in	in	ADP
cana-2484	33	25	large	large	ADJ
cana-2484	33	26	-	-	PUNCT
cana-2484	33	27	scale	scale	NOUN
cana-2484	33	28	data	datum	NOUN
cana-2484	33	29	processing	processing	NOUN
cana-2484	33	30	;	;	PUNCT
cana-2484	33	31	pattern	pattern	NOUN
cana-2484	33	32	recognition	recognition	NOUN
cana-2484	33	33	;	;	PUNCT
cana-2484	33	34	and	and	CCONJ
cana-2484	33	35	automated	automate	VERB
cana-2484	33	36	decision	decision	NOUN
cana-2484	33	37	-	-	PUNCT
cana-2484	33	38	making	making	NOUN
cana-2484	33	39	without	without	ADP
cana-2484	33	40	sophisticated	sophisticated	ADJ
cana-2484	33	41	configuration	configuration	NOUN
cana-2484	33	42	by	by	ADP
cana-2484	33	43	the	the	DET
cana-2484	33	44	users	user	NOUN
cana-2484	33	45	.	.	PUNCT
cana-2484	34	1	dnns	dnns	PROPN
cana-2484	34	2	are	be	AUX
cana-2484	34	3	especially	especially	ADV
cana-2484	34	4	powerful	powerful	ADJ
cana-2484	34	5	for	for	ADP
cana-2484	34	6	dealing	deal	VERB
cana-2484	34	7	with	with	ADP
cana-2484	34	8	demanding	demand	VERB
cana-2484	34	9	data	datum	NOUN
cana-2484	34	10	types	type	NOUN
cana-2484	34	11	(	(	PUNCT
cana-2484	34	12	e.g.	e.g.	ADV
cana-2484	34	13	medical	medical	ADJ
cana-2484	34	14	images	image	NOUN
cana-2484	34	15	)	)	PUNCT
cana-2484	34	16	in	in	ADP
cana-2484	34	17	some	some	DET
cana-2484	34	18	areas	area	NOUN
cana-2484	34	19	such	such	ADJ
cana-2484	34	20	as	as	ADP
cana-2484	34	21	ophthalmology	ophthalmology	NOUN
cana-2484	34	22	,	,	PUNCT
cana-2484	34	23	where	where	SCONJ
cana-2484	34	24	early	early	ADJ
cana-2484	34	25	diagnosis	diagnosis	NOUN
cana-2484	34	26	of	of	ADP
cana-2484	34	27	glaucoma	glaucoma	NOUN
cana-2484	34	28	and	and	CCONJ
cana-2484	34	29	dr	dr	PROPN
cana-2484	34	30	can	can	AUX
cana-2484	34	31	significantly	significantly	ADV
cana-2484	34	32	improve	improve	VERB
cana-2484	34	33	outcomes	outcome	NOUN
cana-2484	34	34	by	by	ADP
cana-2484	34	35	analysing	analyse	VERB
cana-2484	34	36	retina	retina	NOUN
cana-2484	34	37	scans	scan	NOUN
cana-2484	34	38	using	use	VERB
cana-2484	34	39	dnns	dnn	NOUN
cana-2484	34	40	.	.	PUNCT
cana-2484	35	1	the	the	DET
cana-2484	35	2	connectivity	connectivity	NOUN
cana-2484	35	3	pattern	pattern	NOUN
cana-2484	35	4	between	between	ADP
cana-2484	35	5	neurons	neuron	NOUN
cana-2484	35	6	and	and	CCONJ
cana-2484	35	7	the	the	DET
cana-2484	35	8	architecture	architecture	NOUN
cana-2484	35	9	of	of	ADP
cana-2484	35	10	deeper	deep	ADJ
cana-2484	35	11	neural	neural	ADJ
cana-2484	35	12	networks	network	NOUN
cana-2484	35	13	(	(	PUNCT
cana-2484	35	14	dnns	dnn	NOUN
cana-2484	35	15	)	)	PUNCT
cana-2484	35	16	is	be	AUX
cana-2484	35	17	inspired	inspire	VERB
cana-2484	35	18	by	by	ADP
cana-2484	35	19	biological	biological	ADJ
cana-2484	35	20	neural	neural	ADJ
cana-2484	35	21	networks	network	NOUN
cana-2484	35	22	in	in	ADP
cana-2484	35	23	our	our	PRON
cana-2484	35	24	brain	brain	NOUN
cana-2484	35	25	.	.	PUNCT
cana-2484	36	1	dnns	dnn	NOUN
cana-2484	36	2	are	be	AUX
cana-2484	36	3	made	make	VERB
cana-2484	36	4	up	up	ADP
cana-2484	36	5	of	of	ADP
cana-2484	36	6	many	many	ADJ
cana-2484	36	7	interconnected	interconnected	ADJ
cana-2484	36	8	layers	layer	NOUN
cana-2484	36	9	of	of	ADP
cana-2484	36	10	nodes	node	NOUN
cana-2484	36	11	,	,	PUNCT
cana-2484	36	12	each	each	DET
cana-2484	36	13	one	one	NOUN
cana-2484	36	14	eventually	eventually	ADV
cana-2484	36	15	learning	learn	VERB
cana-2484	36	16	to	to	PART
cana-2484	36	17	extract	extract	VERB
cana-2484	36	18	communications	communication	NOUN
cana-2484	36	19	on	on	ADP
cana-2484	36	20	applied	apply	VERB
cana-2484	36	21	nonlinear	nonlinear	ADJ
cana-2484	36	22	analysis	analysis	NOUN
cana-2484	36	23	issn	issn	NOUN
cana-2484	36	24	:	:	PUNCT
cana-2484	36	25	1074	1074	NUM
cana-2484	36	26	-	-	PUNCT
cana-2484	36	27	133x	133x	NUM
cana-2484	36	28	vol	vol	NOUN
cana-2484	36	29	32	32	NUM
cana-2484	36	30	no	no	NOUN
cana-2484	36	31	.	.	PUNCT
cana-2484	37	1	2s	2s	NUM
cana-2484	37	2	(	(	PUNCT
cana-2484	37	3	2025	2025	NUM
cana-2484	37	4	)	)	PUNCT
cana-2484	37	5	495	495	NUM
cana-2484	37	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2484	37	7	another	another	DET
cana-2484	37	8	higher	high	ADJ
cana-2484	37	9	-	-	PUNCT
cana-2484	37	10	level	level	NOUN
cana-2484	37	11	feature	feature	NOUN
cana-2484	37	12	from	from	ADP
cana-2484	37	13	the	the	DET
cana-2484	37	14	input	input	NOUN
cana-2484	37	15	data	datum	NOUN
cana-2484	37	16	.	.	PUNCT
cana-2484	38	1	the	the	DET
cana-2484	38	2	input	input	NOUN
cana-2484	38	3	data	datum	NOUN
cana-2484	38	4	are	be	AUX
cana-2484	38	5	usually	usually	ADV
cana-2484	38	6	fundus	fundus	NOUN
cana-2484	38	7	images	image	NOUN
cana-2484	38	8	or	or	CCONJ
cana-2484	38	9	oct	oct	PROPN
cana-2484	38	10	scan	scan	NOUN
cana-2484	38	11	for	for	ADP
cana-2484	38	12	glaucoma	glaucoma	NOUN
cana-2484	38	13	and	and	CCONJ
cana-2484	38	14	dr	dr	PROPN
cana-2484	38	15	detection	detection	PROPN
cana-2484	38	16	,	,	PUNCT
cana-2484	38	17	respectively	respectively	ADV
cana-2484	38	18	with	with	ADP
cana-2484	38	19	lots	lot	NOUN
cana-2484	38	20	of	of	ADP
cana-2484	38	21	detailed	detailed	ADJ
cana-2484	38	22	information	information	NOUN
cana-2484	38	23	regarding	regard	VERB
cana-2484	38	24	the	the	DET
cana-2484	38	25	structure	structure	NOUN
cana-2484	38	26	and	and	CCONJ
cana-2484	38	27	state	state	NOUN
cana-2484	38	28	of	of	ADP
cana-2484	38	29	the	the	DET
cana-2484	38	30	retina[4	retina[4	NOUN
cana-2484	38	31	]	]	X
cana-2484	38	32	.	.	PUNCT
cana-2484	39	1	through	through	ADP
cana-2484	39	2	training	training	NOUN
cana-2484	39	3	,	,	PUNCT
cana-2484	39	4	the	the	DET
cana-2484	39	5	dnn	dnn	PROPN
cana-2484	39	6	learns	learn	VERB
cana-2484	39	7	to	to	PART
cana-2484	39	8	identify	identify	VERB
cana-2484	39	9	particular	particular	ADJ
cana-2484	39	10	features	feature	NOUN
cana-2484	39	11	like	like	ADP
cana-2484	39	12	the	the	DET
cana-2484	39	13	shape	shape	NOUN
cana-2484	39	14	and	and	CCONJ
cana-2484	39	15	size	size	NOUN
cana-2484	39	16	of	of	ADP
cana-2484	39	17	optic	optic	ADJ
cana-2484	39	18	disc	disc	NOUN
cana-2484	39	19	,	,	PUNCT
cana-2484	39	20	thickness	thickness	NOUN
cana-2484	39	21	of	of	ADP
cana-2484	39	22	retinal	retinal	ADJ
cana-2484	39	23	nerve	nerve	NOUN
cana-2484	39	24	fiber	fiber	NOUN
cana-2484	39	25	layer	layer	NOUN
cana-2484	39	26	or	or	CCONJ
cana-2484	39	27	presence	presence	NOUN
cana-2484	39	28	of	of	ADP
cana-2484	39	29	microaneurysms	microaneurysm	NOUN
cana-2484	39	30	and	and	CCONJ
cana-2484	39	31	hemorrhages	hemorrhage	NOUN
cana-2484	39	32	(	(	PUNCT
cana-2484	39	33	related	relate	VERB
cana-2484	39	34	with	with	ADP
cana-2484	39	35	glaucoma	glaucoma	NOUN
cana-2484	39	36	,	,	PUNCT
cana-2484	39	37	dr	dr	PROPN
cana-2484	39	38	respectively	respectively	ADV
cana-2484	39	39	)	)	PUNCT
cana-2484	39	40	.	.	PUNCT
cana-2484	40	1	during	during	ADP
cana-2484	40	2	training	training	NOUN
cana-2484	40	3	,	,	PUNCT
cana-2484	40	4	dnns	dnn	NOUN
cana-2484	40	5	takes	take	VERB
cana-2484	40	6	in	in	ADP
cana-2484	40	7	a	a	DET
cana-2484	40	8	large	large	ADJ
cana-2484	40	9	set	set	NOUN
cana-2484	40	10	of	of	ADP
cana-2484	40	11	labeled	label	VERB
cana-2484	40	12	images	image	NOUN
cana-2484	40	13	(	(	PUNCT
cana-2484	40	14	i.e.	i.e.	X
cana-2484	40	15	,	,	PUNCT
cana-2484	40	16	its	its	PRON
cana-2484	40	17	training	training	NOUN
cana-2484	40	18	set	set	NOUN
cana-2484	40	19	)	)	PUNCT
cana-2484	40	20	and	and	CCONJ
cana-2484	40	21	learns	learn	VERB
cana-2484	40	22	to	to	PART
cana-2484	40	23	map	map	VERB
cana-2484	40	24	the	the	DET
cana-2484	40	25	input	input	NOUN
cana-2484	40	26	image	image	NOUN
cana-2484	40	27	to	to	ADP
cana-2484	40	28	the	the	DET
cana-2484	40	29	correct	correct	ADJ
cana-2484	40	30	diagnosis	diagnosis	NOUN
cana-2484	40	31	.	.	PUNCT
cana-2484	41	1	in	in	ADP
cana-2484	41	2	an	an	DET
cana-2484	41	3	iterative	iterative	NOUN
cana-2484	41	4	process	process	NOUN
cana-2484	41	5	,	,	PUNCT
cana-2484	41	6	the	the	DET
cana-2484	41	7	network	network	NOUN
cana-2484	41	8	changes	change	VERB
cana-2484	41	9	its	its	PRON
cana-2484	41	10	internal	internal	ADJ
cana-2484	41	11	parameters	parameter	NOUN
cana-2484	41	12	to	to	PART
cana-2484	41	13	help	help	VERB
cana-2484	41	14	reduce	reduce	VERB
cana-2484	41	15	error	error	NOUN
cana-2484	41	16	of	of	ADP
cana-2484	41	17	its	its	PRON
cana-2484	41	18	predictions	prediction	NOUN
cana-2484	41	19	from	from	ADP
cana-2484	41	20	the	the	DET
cana-2484	41	21	actual	actual	ADJ
cana-2484	41	22	diagnoses	diagnosis	NOUN
cana-2484	41	23	.	.	PUNCT
cana-2484	42	1	this	this	DET
cana-2484	42	2	dnn	dnn	PROPN
cana-2484	42	3	,	,	PUNCT
cana-2484	42	4	once	once	ADV
cana-2484	42	5	trained	train	VERB
cana-2484	42	6	,	,	PUNCT
cana-2484	42	7	is	be	AUX
cana-2484	42	8	then	then	ADV
cana-2484	42	9	capable	capable	ADJ
cana-2484	42	10	of	of	ADP
cana-2484	42	11	mining	mine	VERB
cana-2484	42	12	new	new	ADJ
cana-2484	42	13	never	never	ADV
cana-2484	42	14	-	-	PUNCT
cana-2484	42	15	before	before	ADV
cana-2484	42	16	-	-	PUNCT
cana-2484	42	17	seen	see	VERB
cana-2484	42	18	images	image	NOUN
cana-2484	42	19	and	and	CCONJ
cana-2484	42	20	provide	provide	VERB
cana-2484	42	21	you	you	PRON
cana-2484	42	22	with	with	ADP
cana-2484	42	23	high	high	ADJ
cana-2484	42	24	quality	quality	NOUN
cana-2484	42	25	predictions	prediction	NOUN
cana-2484	42	26	whether	whether	SCONJ
cana-2484	42	27	a	a	DET
cana-2484	42	28	foreign	foreign	ADJ
cana-2484	42	29	object	object	NOUN
cana-2484	42	30	is	be	AUX
cana-2484	42	31	present	present	ADJ
cana-2484	42	32	or	or	CCONJ
cana-2484	42	33	not	not	PART
cana-2484	42	34	.	.	PUNCT
cana-2484	43	1	in	in	ADP
cana-2484	43	2	fact	fact	NOUN
cana-2484	43	3	,	,	PUNCT
cana-2484	43	4	a	a	DET
cana-2484	43	5	number	number	NOUN
cana-2484	43	6	of	of	ADP
cana-2484	43	7	studies	study	NOUN
cana-2484	43	8	found	find	VERB
cana-2484	43	9	that	that	SCONJ
cana-2484	43	10	dnns	dnn	NOUN
cana-2484	43	11	can	can	AUX
cana-2484	43	12	provide	provide	VERB
cana-2484	43	13	an	an	DET
cana-2484	43	14	equator	equator	NOUN
cana-2484	43	15	even	even	ADV
cana-2484	43	16	higher	higher	ADV
cana-2484	43	17	-	-	PUNCT
cana-2484	43	18	diagnostic	diagnostic	ADJ
cana-2484	43	19	accuracy	accuracy	NOUN
cana-2484	43	20	as	as	ADP
cana-2484	43	21	compared	compare	VERB
cana-2484	43	22	to	to	ADP
cana-2484	43	23	human	human	ADJ
cana-2484	43	24	experts[27,28	experts[27,28	PROPN
cana-2484	43	25	]	]	PUNCT
cana-2484	43	26	.	.	PUNCT
cana-2484	44	1	fuzzy	fuzzy	ADJ
cana-2484	44	2	logic	logic	NOUN
cana-2484	44	3	in	in	ADP
cana-2484	44	4	medical	medical	ADJ
cana-2484	44	5	diagnosis	diagnosis	NOUN
cana-2484	44	6	:	:	PUNCT
cana-2484	44	7	dnns	dnn	NOUN
cana-2484	44	8	are	be	AUX
cana-2484	44	9	very	very	ADV
cana-2484	44	10	good	good	ADJ
cana-2484	44	11	at	at	ADP
cana-2484	44	12	processing	process	VERB
cana-2484	44	13	a	a	DET
cana-2484	44	14	lot	lot	NOUN
cana-2484	44	15	of	of	ADP
cana-2484	44	16	data	datum	NOUN
cana-2484	44	17	and	and	CCONJ
cana-2484	44	18	making	make	VERB
cana-2484	44	19	predictions	prediction	NOUN
cana-2484	44	20	,	,	PUNCT
cana-2484	44	21	but	but	CCONJ
cana-2484	44	22	they	they	PRON
cana-2484	44	23	are	be	AUX
cana-2484	44	24	often	often	ADV
cana-2484	44	25	seen	see	VERB
cana-2484	44	26	as	as	ADP
cana-2484	44	27	a	a	DET
cana-2484	44	28	"	"	PUNCT
cana-2484	44	29	black	black	ADJ
cana-2484	44	30	box	box	NOUN
cana-2484	44	31	"	"	PUNCT
cana-2484	44	32	learning	learn	VERB
cana-2484	44	33	architecture	architecture	NOUN
cana-2484	44	34	;	;	PUNCT
cana-2484	44	35	essentially	essentially	ADV
cana-2484	44	36	when	when	SCONJ
cana-2484	44	37	outputs	output	NOUN
cana-2484	44	38	(	(	PUNCT
cana-2484	44	39	predictions	prediction	NOUN
cana-2484	44	40	)	)	PUNCT
cana-2484	44	41	are	be	AUX
cana-2484	44	42	produced	produce	VERB
cana-2484	44	43	on	on	ADP
cana-2484	44	44	new	new	ADJ
cana-2484	44	45	cases	case	NOUN
cana-2484	44	46	they	they	PRON
cana-2484	44	47	can	can	AUX
cana-2484	44	48	be	be	AUX
cana-2484	44	49	very	very	ADV
cana-2484	44	50	difficult	difficult	ADJ
cana-2484	44	51	to	to	PART
cana-2484	44	52	interpret	interpret	VERB
cana-2484	44	53	.	.	PUNCT
cana-2484	45	1	while	while	SCONJ
cana-2484	45	2	dnns	dnn	NOUN
cana-2484	45	3	provide	provide	VERB
cana-2484	45	4	accurate	accurate	ADJ
cana-2484	45	5	results	result	NOUN
cana-2484	45	6	in	in	ADP
cana-2484	45	7	a	a	DET
cana-2484	45	8	lot	lot	NOUN
cana-2484	45	9	of	of	ADP
cana-2484	45	10	cases	case	NOUN
cana-2484	45	11	,	,	PUNCT
cana-2484	45	12	their	their	PRON
cana-2484	45	13	dark	dark	ADJ
cana-2484	45	14	side	side	NOUN
cana-2484	45	15	is	be	AUX
cana-2484	45	16	the	the	DET
cana-2484	45	17	interpretation	interpretation	NOUN
cana-2484	45	18	and	and	CCONJ
cana-2484	45	19	understanding	understanding	NOUN
cana-2484	45	20	of	of	ADP
cana-2484	45	21	those	those	DET
cana-2484	45	22	results	result	NOUN
cana-2484	45	23	are	be	AUX
cana-2484	45	24	mostly	mostly	ADV
cana-2484	45	25	consumed	consume	VERB
cana-2484	45	26	within	within	ADP
cana-2484	45	27	black	black	ADJ
cana-2484	45	28	box	box	NOUN
cana-2484	45	29	.	.	PUNCT
cana-2484	46	1	this	this	DET
cana-2484	46	2	lack	lack	NOUN
cana-2484	46	3	of	of	ADP
cana-2484	46	4	transparency	transparency	NOUN
cana-2484	46	5	can	can	AUX
cana-2484	46	6	manifest	manifest	VERB
cana-2484	46	7	as	as	ADP
cana-2484	46	8	a	a	DET
cana-2484	46	9	negative	negative	ADJ
cana-2484	46	10	in	in	ADP
cana-2484	46	11	medical	medical	ADJ
cana-2484	46	12	applications	application	NOUN
cana-2484	46	13	where	where	SCONJ
cana-2484	46	14	access	access	NOUN
cana-2484	46	15	to	to	ADP
cana-2484	46	16	the	the	DET
cana-2484	46	17	reasons	reason	NOUN
cana-2484	46	18	underpinning	underpin	VERB
cana-2484	46	19	a	a	DET
cana-2484	46	20	diagnosis	diagnosis	NOUN
cana-2484	46	21	is	be	AUX
cana-2484	46	22	needed	need	VERB
cana-2484	46	23	by	by	ADP
cana-2484	46	24	clinicians	clinician	NOUN
cana-2484	46	25	,	,	PUNCT
cana-2484	46	26	particularly	particularly	ADV
cana-2484	46	27	when	when	SCONJ
cana-2484	46	28	they	they	PRON
cana-2484	46	29	might	might	AUX
cana-2484	46	30	be	be	AUX
cana-2484	46	31	dealing	deal	VERB
cana-2484	46	32	with	with	ADP
cana-2484	46	33	ambiguous	ambiguous	ADJ
cana-2484	46	34	cases	case	NOUN
cana-2484	46	35	over	over	ADP
cana-2484	46	36	the	the	DET
cana-2484	46	37	borderline	borderline	NOUN
cana-2484	46	38	of	of	ADP
cana-2484	46	39	whether	whether	SCONJ
cana-2484	46	40	or	or	CCONJ
cana-2484	46	41	not	not	PART
cana-2484	46	42	a	a	DET
cana-2484	46	43	disease	disease	NOUN
cana-2484	46	44	is	be	AUX
cana-2484	46	45	present	present	ADJ
cana-2484	46	46	.	.	PUNCT
cana-2484	47	1	enter	enter	VERB
cana-2484	47	2	fuzzy	fuzzy	ADJ
cana-2484	47	3	logic	logic	NOUN
cana-2484	47	4	.	.	PUNCT
cana-2484	48	1	fuzzy	fuzzy	ADJ
cana-2484	48	2	logic	logic	NOUN
cana-2484	48	3	was	be	AUX
cana-2484	48	4	introduced	introduce	VERB
cana-2484	48	5	by	by	ADP
cana-2484	48	6	lotfi	lotfi	PROPN
cana-2484	48	7	zadeh	zadeh	PROPN
cana-2484	48	8	in	in	ADP
cana-2484	48	9	the	the	DET
cana-2484	48	10	1960s	1960	NOUN
cana-2484	48	11	and	and	CCONJ
cana-2484	48	12	represents	represent	VERB
cana-2484	48	13	a	a	DET
cana-2484	48	14	mathematical	mathematical	ADJ
cana-2484	48	15	semantic	semantic	ADJ
cana-2484	48	16	dealing	dealing	NOUN
cana-2484	48	17	with	with	ADP
cana-2484	48	18	levels	level	NOUN
cana-2484	48	19	of	of	ADP
cana-2484	48	20	uncertainty	uncertainty	NOUN
cana-2484	48	21	which	which	PRON
cana-2484	48	22	are	be	AUX
cana-2484	48	23	less	less	ADV
cana-2484	48	24	precise	precise	ADJ
cana-2484	48	25	than	than	ADP
cana-2484	48	26	truly	truly	ADV
cana-2484	48	27	black	black	ADJ
cana-2484	48	28	or	or	CCONJ
cana-2484	48	29	white	white	ADJ
cana-2484	48	30	.	.	PUNCT
cana-2484	49	1	fuzzy	fuzzy	ADJ
cana-2484	49	2	logic	logic	NOUN
cana-2484	49	3	,	,	PUNCT
cana-2484	49	4	unlike	unlike	ADP
cana-2484	49	5	conventional	conventional	ADJ
cana-2484	49	6	binary	binary	ADJ
cana-2484	49	7	logic	logic	NOUN
cana-2484	49	8	(	(	PUNCT
cana-2484	49	9	true	true	ADJ
cana-2484	49	10	/	/	SYM
cana-2484	49	11	false	false	ADJ
cana-2484	49	12	)	)	PUNCT
cana-2484	49	13	,	,	PUNCT
cana-2484	49	14	allows	allow	VERB
cana-2484	49	15	us	we	PRON
cana-2484	49	16	to	to	PART
cana-2484	49	17	assign	assign	VERB
cana-2484	49	18	degrees	degree	NOUN
cana-2484	49	19	of	of	ADP
cana-2484	49	20	truth	truth	NOUN
cana-2484	49	21	to	to	ADP
cana-2484	49	22	a	a	DET
cana-2484	49	23	statement	statement	NOUN
cana-2484	49	24	being	be	AUX
cana-2484	49	25	true	true	ADJ
cana-2484	49	26	.	.	PUNCT
cana-2484	50	1	what	what	PRON
cana-2484	50	2	this	this	PRON
cana-2484	50	3	means	mean	VERB
cana-2484	50	4	in	in	ADP
cana-2484	50	5	medical	medical	ADJ
cana-2484	50	6	diagnosis	diagnosis	NOUN
cana-2484	50	7	is	be	AUX
cana-2484	50	8	that	that	SCONJ
cana-2484	50	9	a	a	DET
cana-2484	50	10	patient	patient	NOUN
cana-2484	50	11	does	do	AUX
cana-2484	50	12	not	not	PART
cana-2484	50	13	need	need	VERB
cana-2484	50	14	to	to	PART
cana-2484	50	15	be	be	AUX
cana-2484	50	16	hormonal	hormonal	ADJ
cana-2484	50	17	,	,	PUNCT
cana-2484	50	18	metabolically	metabolically	ADV
cana-2484	50	19	acting	act	VERB
cana-2484	50	20	estrogen	estrogen	NOUN
cana-2484	50	21	positive	positive	ADJ
cana-2484	50	22	or	or	CCONJ
cana-2484	50	23	negative	negative	ADJ
cana-2484	50	24	androgen	androgen	NOUN
cana-2484	50	25	unrelated	unrelated	ADJ
cana-2484	50	26	at	at	ADP
cana-2484	50	27	all	all	DET
cana-2484	50	28	times	time	NOUN
cana-2484	50	29	.	.	PUNCT
cana-2484	51	1	for	for	ADP
cana-2484	51	2	instance	instance	NOUN
cana-2484	51	3	,	,	PUNCT
cana-2484	51	4	instead	instead	ADV
cana-2484	51	5	of	of	ADP
cana-2484	51	6	determining	determine	VERB
cana-2484	51	7	glaucoma	glaucoma	NOUN
cana-2484	51	8	or	or	CCONJ
cana-2484	51	9	not	not	PART
cana-2484	51	10	,	,	PUNCT
cana-2484	51	11	a	a	DET
cana-2484	51	12	fuzzy	fuzzy	ADJ
cana-2484	51	13	logic	logic	NOUN
cana-2484	51	14	system	system	NOUN
cana-2484	51	15	may	may	AUX
cana-2484	51	16	assign	assign	VERB
cana-2484	51	17	a	a	DET
cana-2484	51	18	level	level	NOUN
cana-2484	51	19	of	of	ADP
cana-2484	51	20	membership	membership	NOUN
cana-2484	51	21	to	to	ADP
cana-2484	51	22	both	both	DET
cana-2484	51	23	types	type	NOUN
cana-2484	51	24	,	,	PUNCT
cana-2484	51	25	which	which	PRON
cana-2484	51	26	suggests	suggest	VERB
cana-2484	51	27	the	the	DET
cana-2484	51	28	diagnosis	diagnosis	NOUN
cana-2484	51	29	is	be	AUX
cana-2484	51	30	uncertain	uncertain	ADJ
cana-2484	51	31	.	.	PUNCT
cana-2484	52	1	fuzzy	fuzzy	ADJ
cana-2484	52	2	logic	logic	NOUN
cana-2484	52	3	system	system	NOUN
cana-2484	52	4	is	be	AUX
cana-2484	52	5	a	a	DET
cana-2484	52	6	design	design	NOUN
cana-2484	52	7	-	-	PUNCT
cana-2484	52	8	stage	stage	NOUN
cana-2484	52	9	-	-	PUNCT
cana-2484	52	10	engineering	engineering	NOUN
cana-2484	52	11	tool	tool	NOUN
cana-2484	52	12	to	to	PART
cana-2484	52	13	handle	handle	VERB
cana-2484	52	14	multi	multi	ADJ
cana-2484	52	15	-	-	ADJ
cana-2484	52	16	body	body	ADJ
cana-2484	52	17	articulate	articulate	ADJ
cana-2484	52	18	process	process	NOUN
cana-2484	52	19	,	,	PUNCT
cana-2484	52	20	which	which	PRON
cana-2484	52	21	is	be	AUX
cana-2484	52	22	introduced	introduce	VERB
cana-2484	52	23	into	into	ADP
cana-2484	52	24	dnns	dnn	NOUN
cana-2484	52	25	for	for	ADP
cana-2484	52	26	better	well	ADV
cana-2484	52	27	optimizing	optimize	VERB
cana-2484	52	28	more	more	ADV
cana-2484	52	29	interpretable	interpretable	ADJ
cana-2484	52	30	and	and	CCONJ
cana-2484	52	31	possibly	possibly	ADV
cana-2484	52	32	flexible	flexible	ADJ
cana-2484	52	33	decision	decision	NOUN
cana-2484	52	34	-	-	PUNCT
cana-2484	52	35	making	make	VERB
cana-2484	52	36	framework	framework	NOUN
cana-2484	52	37	.	.	PUNCT
cana-2484	53	1	the	the	DET
cana-2484	53	2	dnn	dnn	PROPN
cana-2484	53	3	generates	generate	VERB
cana-2484	53	4	predictions	prediction	NOUN
cana-2484	53	5	from	from	ADP
cana-2484	53	6	the	the	DET
cana-2484	53	7	input	input	NOUN
cana-2484	53	8	data	datum	NOUN
cana-2484	53	9	and	and	CCONJ
cana-2484	53	10	the	the	DET
cana-2484	53	11	fuzzy	fuzzy	ADJ
cana-2484	53	12	logic	logic	NOUN
cana-2484	53	13	system	system	NOUN
cana-2484	53	14	then	then	ADV
cana-2484	53	15	refines	refine	VERB
cana-2484	53	16	those	those	DET
cana-2484	53	17	predictions	prediction	NOUN
cana-2484	53	18	further	far	ADV
cana-2484	53	19	by	by	ADP
cana-2484	53	20	taking	take	VERB
cana-2484	53	21	into	into	ADP
cana-2484	53	22	account	account	NOUN
cana-2484	53	23	other	other	ADJ
cana-2484	53	24	factors	factor	NOUN
cana-2484	53	25	such	such	ADJ
cana-2484	53	26	as	as	ADP
cana-2484	53	27	the	the	DET
cana-2484	53	28	patient	patient	NOUN
cana-2484	53	29	's	's	PART
cana-2484	53	30	age	age	NOUN
cana-2484	53	31	,	,	PUNCT
cana-2484	53	32	medical	medical	ADJ
cana-2484	53	33	history	history	NOUN
cana-2484	53	34	,	,	PUNCT
cana-2484	53	35	and	and	CCONJ
cana-2484	53	36	severity	severity	NOUN
cana-2484	53	37	of	of	ADP
cana-2484	53	38	symptoms	symptom	NOUN
cana-2484	53	39	.	.	PUNCT
cana-2484	54	1	this	this	DET
cana-2484	54	2	framework	framework	NOUN
cana-2484	54	3	not	not	PART
cana-2484	54	4	only	only	ADV
cana-2484	54	5	allows	allow	VERB
cana-2484	54	6	a	a	DET
cana-2484	54	7	more	more	ADV
cana-2484	54	8	accurate	accurate	ADJ
cana-2484	54	9	diagnosis	diagnosis	NOUN
cana-2484	54	10	but	but	CCONJ
cana-2484	54	11	also	also	ADV
cana-2484	54	12	delivers	deliver	VERB
cana-2484	54	13	a	a	DET
cana-2484	54	14	more	more	ADV
cana-2484	54	15	granular	granular	ADJ
cana-2484	54	16	and	and	CCONJ
cana-2484	54	17	interpretable	interpretable	ADJ
cana-2484	54	18	rationale	rationale	NOUN
cana-2484	54	19	for	for	ADP
cana-2484	54	20	the	the	DET
cana-2484	54	21	decision	decision	NOUN
cana-2484	54	22	-something	-something	NOUN
cana-2484	54	23	that	that	PRON
cana-2484	54	24	is	be	AUX
cana-2484	54	25	essential	essential	ADJ
cana-2484	54	26	to	to	ADP
cana-2484	54	27	both	both	DET
cana-2484	54	28	clinicians	clinician	NOUN
cana-2484	54	29	and	and	CCONJ
cana-2484	54	30	patients	patient	NOUN
cana-2484	54	31	for	for	ADP
cana-2484	54	32	winning	win	VERB
cana-2484	54	33	their	their	PRON
cana-2484	54	34	medical	medical	ADJ
cana-2484	54	35	trust	trust	NOUN
cana-2484	54	36	.	.	PUNCT
cana-2484	55	1	●	●	PUNCT
cana-2484	55	2	implementation	implementation	NOUN
cana-2484	55	3	strategy	strategy	NOUN
cana-2484	55	4	general	general	ADJ
cana-2484	55	5	procedure	procedure	NOUN
cana-2484	55	6	implemented	implement	VERB
cana-2484	55	7	for	for	ADP
cana-2484	55	8	early	early	ADJ
cana-2484	55	9	detection	detection	NOUN
cana-2484	55	10	and	and	CCONJ
cana-2484	55	11	treatment	treatment	NOUN
cana-2484	55	12	of	of	ADP
cana-2484	55	13	glaucoma	glaucoma	NOUN
cana-2484	55	14	and	and	CCONJ
cana-2484	55	15	dr	dr	PROPN
cana-2484	55	16	using	use	VERB
cana-2484	55	17	dnns	dnn	NOUN
cana-2484	55	18	and	and	CCONJ
cana-2484	55	19	fuzzy	fuzzy	ADJ
cana-2484	55	20	logic	logic	NOUN
cana-2484	55	21	,	,	PUNCT
cana-2484	55	22	the	the	DET
cana-2484	55	23	schematic	schematic	ADJ
cana-2484	55	24	shows	show	VERB
cana-2484	55	25	major	major	ADJ
cana-2484	55	26	steps	step	NOUN
cana-2484	55	27	starting	start	VERB
cana-2484	55	28	from	from	ADP
cana-2484	55	29	data	data	PROPN
cana-2484	55	30	collection	collection	NOUN
cana-2484	55	31	,	,	PUNCT
cana-2484	55	32	model	model	NOUN
cana-2484	55	33	development	development	NOUN
cana-2484	55	34	,	,	PUNCT
cana-2484	55	35	system	system	NOUN
cana-2484	55	36	integration	integration	NOUN
cana-2484	55	37	to	to	ADP
cana-2484	55	38	clinical	clinical	ADJ
cana-2484	55	39	validation	validation	NOUN
cana-2484	55	40	.	.	PUNCT
cana-2484	56	1	data	datum	NOUN
cana-2484	56	2	collection	collection	NOUN
cana-2484	56	3	and	and	CCONJ
cana-2484	56	4	pre	pre	ADJ
cana-2484	56	5	-	-	ADJ
cana-2484	56	6	processing	processing	NOUN
cana-2484	56	7	:	:	PUNCT
cana-2484	56	8	in	in	ADP
cana-2484	56	9	the	the	DET
cana-2484	56	10	first	first	ADJ
cana-2484	56	11	step	step	NOUN
cana-2484	56	12	,	,	PUNCT
cana-2484	56	13	it	it	PRON
cana-2484	56	14	will	will	AUX
cana-2484	56	15	collect	collect	VERB
cana-2484	56	16	the	the	DET
cana-2484	56	17	large	large	ADJ
cana-2484	56	18	data	datum	NOUN
cana-2484	56	19	set	set	VERB
cana-2484	56	20	of	of	ADP
cana-2484	56	21	retinal	retinal	ADJ
cana-2484	56	22	images	image	NOUN
cana-2484	56	23	which	which	PRON
cana-2484	56	24	contains	contain	VERB
cana-2484	56	25	both	both	DET
cana-2484	56	26	fundus	fundus	NOUN
cana-2484	56	27	photographs	photograph	NOUN
cana-2484	56	28	)	)	PUNCT
cana-2484	56	29	and	and	CCONJ
cana-2484	56	30	optical	optical	ADJ
cana-2484	56	31	coherence	coherence	NOUN
cana-2484	56	32	tomography	tomography	NOUN
cana-2484	56	33	(	(	PUNCT
cana-2484	56	34	oct	oct	NOUN
cana-2484	56	35	)	)	PUNCT
cana-2484	56	36	scans	scan	NOUN
cana-2484	56	37	.	.	PUNCT
cana-2484	57	1	the	the	DET
cana-2484	57	2	routers	router	NOUN
cana-2484	57	3	should	should	AUX
cana-2484	57	4	be	be	AUX
cana-2484	57	5	classified	classify	VERB
cana-2484	57	6	with	with	ADP
cana-2484	57	7	the	the	DET
cana-2484	57	8	diagnosis	diagnosis	NOUN
cana-2484	57	9	they	they	PRON
cana-2484	57	10	correspond	correspond	VERB
cana-2484	57	11	to	to	ADP
cana-2484	57	12	,	,	PUNCT
cana-2484	57	13	as	as	ADP
cana-2484	57	14	early	early	ADJ
cana-2484	57	15	glaucoma	glaucoma	NOUN
cana-2484	57	16	,	,	PUNCT
cana-2484	57	17	advance	advance	NOUN
cana-2484	57	18	glaucoma	glaucoma	NOUN
cana-2484	57	19	,	,	PUNCT
cana-2484	57	20	mild	mild	ADJ
cana-2484	57	21	dr	dr	PROPN
cana-2484	57	22	and	and	CCONJ
cana-2484	57	23	proliferative	proliferative	PROPN
cana-2484	57	24	dr	dr	PROPN
cana-2484	57	25	pre	pre	PROPN
cana-2484	57	26	-	-	ADJ
cana-2484	57	27	processing	processing	NOUN
cana-2484	57	28	is	be	AUX
cana-2484	57	29	crucial	crucial	ADJ
cana-2484	57	30	because	because	SCONJ
cana-2484	57	31	it	it	PRON
cana-2484	57	32	reduces	reduce	VERB
cana-2484	57	33	noise	noise	NOUN
cana-2484	57	34	(	(	PUNCT
cana-2484	57	35	artifact	artifact	NOUN
cana-2484	57	36	)	)	PUNCT
cana-2484	57	37	in	in	ADP
cana-2484	57	38	the	the	DET
cana-2484	57	39	images	image	NOUN
cana-2484	57	40	.	.	PUNCT
cana-2484	58	1	among	among	ADP
cana-2484	58	2	other	other	ADJ
cana-2484	58	3	things	thing	NOUN
cana-2484	58	4	,	,	PUNCT
cana-2484	58	5	this	this	DET
cana-2484	58	6	step	step	NOUN
cana-2484	58	7	may	may	AUX
cana-2484	58	8	involve	involve	VERB
cana-2484	58	9	data	datum	NOUN
cana-2484	58	10	augmentation	augmentation	NOUN
cana-2484	58	11	techniques	technique	NOUN
cana-2484	58	12	like	like	ADP
cana-2484	58	13	rotating	rotate	VERB
cana-2484	58	14	or	or	CCONJ
cana-2484	58	15	flipping	flip	VERB
cana-2484	58	16	images	image	NOUN
cana-2484	58	17	to	to	PART
cana-2484	58	18	expand	expand	VERB
cana-2484	58	19	the	the	DET
cana-2484	58	20	diversity	diversity	NOUN
cana-2484	58	21	of	of	ADP
cana-2484	58	22	your	your	PRON
cana-2484	58	23	training	training	NOUN
cana-2484	58	24	data	datum	NOUN
cana-2484	58	25	and	and	CCONJ
cana-2484	58	26	make	make	VERB
cana-2484	58	27	your	your	PRON
cana-2484	58	28	model	model	NOUN
cana-2484	58	29	more	more	ADV
cana-2484	58	30	robust	robust	ADJ
cana-2484	58	31	.	.	PUNCT
cana-2484	59	1	model	model	NOUN
cana-2484	59	2	development	development	PROPN
cana-2484	59	3	:	:	PUNCT
cana-2484	59	4	after	after	ADP
cana-2484	59	5	data	data	NOUN
cana-2484	59	6	processing	processing	NOUN
cana-2484	59	7	,	,	PUNCT
cana-2484	59	8	the	the	DET
cana-2484	59	9	subsequent	subsequent	ADJ
cana-2484	59	10	step	step	NOUN
cana-2484	59	11	in	in	ADP
cana-2484	59	12	creating	create	VERB
cana-2484	59	13	a	a	DET
cana-2484	59	14	dnn	dnn	PROPN
cana-2484	59	15	model	model	NOUN
cana-2484	59	16	.	.	PUNCT
cana-2484	60	1	this	this	PRON
cana-2484	60	2	includes	include	VERB
cana-2484	60	3	choosing	choose	VERB
cana-2484	60	4	an	an	DET
cana-2484	60	5	adequate	adequate	ADJ
cana-2484	60	6	network	network	NOUN
cana-2484	60	7	architecture	architecture	NOUN
cana-2484	60	8	like	like	ADP
cana-2484	60	9	cnn	cnn	PROPN
cana-2484	60	10	(	(	PUNCT
cana-2484	60	11	convolutional	convolutional	ADJ
cana-2484	60	12	neural	neural	ADJ
cana-2484	60	13	networks	network	NOUN
cana-2484	60	14	)	)	PUNCT
cana-2484	60	15	which	which	PRON
cana-2484	60	16	is	be	AUX
cana-2484	60	17	appropriate	appropriate	ADJ
cana-2484	60	18	for	for	ADP
cana-2484	60	19	image	image	NOUN
cana-2484	60	20	classification	classification	NOUN
cana-2484	60	21	task	task	NOUN
cana-2484	60	22	.	.	PUNCT
cana-2484	61	1	a	a	DET
cana-2484	61	2	supervised	supervised	ADJ
cana-2484	61	3	learning	learning	NOUN
cana-2484	61	4	method	method	NOUN
cana-2484	61	5	is	be	AUX
cana-2484	61	6	employed	employ	VERB
cana-2484	61	7	for	for	ADP
cana-2484	61	8	training	train	VERB
cana-2484	61	9	the	the	DET
cana-2484	61	10	model	model	NOUN
cana-2484	61	11	,	,	PUNCT
cana-2484	61	12	with	with	ADP
cana-2484	61	13	the	the	DET
cana-2484	61	14	network	network	NOUN
cana-2484	61	15	associating	associate	VERB
cana-2484	61	16	specific	specific	ADJ
cana-2484	61	17	image	image	NOUN
cana-2484	61	18	features	feature	VERB
cana-2484	61	19	with	with	ADP
cana-2484	61	20	a	a	DET
cana-2484	61	21	diagnosis	diagnosis	NOUN
cana-2484	61	22	from	from	ADP
cana-2484	61	23	the	the	DET
cana-2484	61	24	labelled	label	VERB
cana-2484	61	25	dataset	dataset	NOUN
cana-2484	61	26	.	.	PUNCT
cana-2484	62	1	communications	communication	NOUN
cana-2484	62	2	on	on	ADP
cana-2484	62	3	applied	apply	VERB
cana-2484	62	4	nonlinear	nonlinear	ADJ
cana-2484	62	5	analysis	analysis	NOUN
cana-2484	62	6	issn	issn	NOUN
cana-2484	62	7	:	:	PUNCT
cana-2484	62	8	1074	1074	NUM
cana-2484	62	9	-	-	PUNCT
cana-2484	62	10	133x	133x	NUM
cana-2484	62	11	vol	vol	NOUN
cana-2484	62	12	32	32	NUM
cana-2484	62	13	no	no	NOUN
cana-2484	62	14	.	.	PUNCT
cana-2484	63	1	2s	2s	NUM
cana-2484	63	2	(	(	PUNCT
cana-2484	63	3	2025	2025	NUM
cana-2484	63	4	)	)	PUNCT
cana-2484	63	5	496	496	NUM
cana-2484	63	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2484	63	7	the	the	DET
cana-2484	63	8	model	model	NOUN
cana-2484	63	9	is	be	AUX
cana-2484	63	10	trained	train	VERB
cana-2484	63	11	on	on	ADP
cana-2484	63	12	these	these	DET
cana-2484	63	13	folds	fold	NOUN
cana-2484	63	14	and	and	CCONJ
cana-2484	63	15	its	its	PRON
cana-2484	63	16	performance	performance	NOUN
cana-2484	63	17	(	(	PUNCT
cana-2484	63	18	e.g.	e.g.	ADV
cana-2484	63	19	accuracy	accuracy	NOUN
cana-2484	63	20	,	,	PUNCT
cana-2484	63	21	recall	recall	NOUN
cana-2484	63	22	/	/	SYM
cana-2484	63	23	sensitivity	sensitivity	NOUN
cana-2484	63	24	,	,	PUNCT
cana-2484	63	25	specificity	specificity	NOUN
cana-2484	63	26	etc	etc	X
cana-2484	63	27	)	)	PUNCT
cana-2484	63	28	are	be	AUX
cana-2484	63	29	calculated	calculate	VERB
cana-2484	63	30	and	and	CCONJ
cana-2484	63	31	the	the	DET
cana-2484	63	32	weights	weight	NOUN
cana-2484	63	33	of	of	ADP
cana-2484	63	34	the	the	DET
cana-2484	63	35	networks	network	NOUN
cana-2484	63	36	are	be	AUX
cana-2484	63	37	tuned	tune	VERB
cana-2484	63	38	in	in	ADP
cana-2484	63	39	order	order	NOUN
cana-2484	63	40	to	to	PART
cana-2484	63	41	maximise	maximise	VERB
cana-2484	63	42	these	these	DET
cana-2484	63	43	metrics[5	metrics[5	NOUN
cana-2484	63	44	-	-	PUNCT
cana-2484	63	45	8	8	NUM
cana-2484	63	46	]	]	PUNCT
cana-2484	63	47	.	.	PUNCT
cana-2484	64	1	fuzzy	fuzzy	ADJ
cana-2484	64	2	logic	logic	NOUN
cana-2484	64	3	integration	integration	NOUN
cana-2484	64	4	:	:	PUNCT
cana-2484	64	5	once	once	SCONJ
cana-2484	64	6	the	the	DET
cana-2484	64	7	dnn	dnn	PROPN
cana-2484	64	8	model	model	NOUN
cana-2484	64	9	has	have	AUX
cana-2484	64	10	been	be	AUX
cana-2484	64	11	trained	train	VERB
cana-2484	64	12	,	,	PUNCT
cana-2484	64	13	we	we	PRON
cana-2484	64	14	used	use	VERB
cana-2484	64	15	a	a	DET
cana-2484	64	16	separate	separate	ADJ
cana-2484	64	17	fuzzy	fuzzy	ADJ
cana-2484	64	18	logic	logic	NOUN
cana-2484	64	19	system	system	NOUN
cana-2484	64	20	to	to	PART
cana-2484	64	21	deal	deal	VERB
cana-2484	64	22	with	with	ADP
cana-2484	64	23	uncertain	uncertain	ADJ
cana-2484	64	24	and	and	CCONJ
cana-2484	64	25	ambiguous	ambiguous	ADJ
cana-2484	64	26	cases	case	NOUN
cana-2484	64	27	in	in	ADP
cana-2484	64	28	diagnosis	diagnosis	NOUN
cana-2484	64	29	.	.	PUNCT
cana-2484	65	1	this	this	DET
cana-2484	65	2	fuzzy	fuzzy	ADJ
cana-2484	65	3	logic	logic	NOUN
cana-2484	65	4	system	system	NOUN
cana-2484	65	5	may	may	AUX
cana-2484	65	6	then	then	ADV
cana-2484	65	7	be	be	AUX
cana-2484	65	8	crafted	craft	VERB
cana-2484	65	9	to	to	PART
cana-2484	65	10	use	use	VERB
cana-2484	65	11	the	the	DET
cana-2484	65	12	output	output	NOUN
cana-2484	65	13	of	of	ADP
cana-2484	65	14	the	the	DET
cana-2484	65	15	dnn	dnn	PROPN
cana-2484	65	16	and	and	CCONJ
cana-2484	65	17	other	other	ADJ
cana-2484	65	18	input	input	NOUN
cana-2484	65	19	variables	variable	NOUN
cana-2484	65	20	(	(	PUNCT
cana-2484	65	21	e.g.	e.g.	ADV
cana-2484	65	22	,	,	PUNCT
cana-2484	65	23	patient	patient	ADJ
cana-2484	65	24	history	history	NOUN
cana-2484	65	25	,	,	PUNCT
cana-2484	65	26	demographic	demographic	ADJ
cana-2484	65	27	)	)	PUNCT
cana-2484	65	28	to	to	PART
cana-2484	65	29	provide	provide	VERB
cana-2484	65	30	a	a	DET
cana-2484	65	31	refined	refined	ADJ
cana-2484	65	32	diagnosis	diagnosis	NOUN
cana-2484	65	33	.	.	PUNCT
cana-2484	66	1	this	this	DET
cana-2484	66	2	step	step	NOUN
cana-2484	66	3	may	may	AUX
cana-2484	66	4	require	require	VERB
cana-2484	66	5	defining	define	VERB
cana-2484	66	6	a	a	DET
cana-2484	66	7	list	list	NOUN
cana-2484	66	8	of	of	ADP
cana-2484	66	9	fuzzy	fuzzy	ADJ
cana-2484	66	10	rules	rule	NOUN
cana-2484	66	11	which	which	PRON
cana-2484	66	12	tell	tell	VERB
cana-2484	66	13	us	we	PRON
cana-2484	66	14	how	how	SCONJ
cana-2484	66	15	the	the	DET
cana-2484	66	16	input	input	NOUN
cana-2484	66	17	variables	variable	NOUN
cana-2484	66	18	should	should	AUX
cana-2484	66	19	unite	unite	VERB
cana-2484	66	20	to	to	PART
cana-2484	66	21	give	give	VERB
cana-2484	66	22	the	the	DET
cana-2484	66	23	ultimate	ultimate	ADJ
cana-2484	66	24	diagnosis	diagnosis	NOUN
cana-2484	66	25	.	.	PUNCT
cana-2484	67	1	integration	integration	NOUN
cana-2484	67	2	and	and	CCONJ
cana-2484	67	3	deployment	deployment	NOUN
cana-2484	67	4	:	:	PUNCT
cana-2484	67	5	electroencephalography	electroencephalography	NOUN
cana-2484	67	6	(	(	PUNCT
cana-2484	67	7	eeg	eeg	NOUN
cana-2484	67	8	)	)	PUNCT
cana-2484	67	9	data	datum	NOUN
cana-2484	67	10	are	be	AUX
cana-2484	67	11	used	use	VERB
cana-2484	67	12	to	to	PART
cana-2484	67	13	detect	detect	VERB
cana-2484	67	14	over	over	ADP
cana-2484	67	15	sleptiness	sleptiness	NOUN
cana-2484	67	16	and	and	CCONJ
cana-2484	67	17	the	the	DET
cana-2484	67	18	dnn	dnn	PROPN
cana-2484	67	19	as	as	ADV
cana-2484	67	20	well	well	ADV
cana-2484	67	21	as	as	ADP
cana-2484	67	22	steady	steady	ADJ
cana-2484	67	23	state	state	NOUN
cana-2484	67	24	features	feature	NOUN
cana-2484	67	25	extracted	extract	VERB
cana-2484	67	26	from	from	ADP
cana-2484	67	27	eeg	eeg	PROPN
cana-2484	67	28	are	be	AUX
cana-2484	67	29	applied	apply	VERB
cana-2484	67	30	to	to	PART
cana-2484	67	31	design	design	VERB
cana-2484	67	32	a	a	DET
cana-2484	67	33	model	model	NOUN
cana-2484	67	34	for	for	ADP
cana-2484	67	35	fuzzy	fuzzy	ADJ
cana-2484	67	36	logic	logic	NOUN
cana-2484	67	37	rule	rule	NOUN
cana-2484	67	38	-	-	PUNCT
cana-2484	67	39	based	base	VERB
cana-2484	67	40	system	system	NOUN
cana-2484	67	41	.	.	PUNCT
cana-2484	68	1	the	the	DET
cana-2484	68	2	system	system	NOUN
cana-2484	68	3	can	can	AUX
cana-2484	68	4	be	be	AUX
cana-2484	68	5	used	use	VERB
cana-2484	68	6	as	as	ADP
cana-2484	68	7	a	a	DET
cana-2484	68	8	cloud	cloud	NOUN
cana-2484	68	9	-	-	PUNCT
cana-2484	68	10	based	base	VERB
cana-2484	68	11	service	service	NOUN
cana-2484	68	12	where	where	SCONJ
cana-2484	68	13	the	the	DET
cana-2484	68	14	retinal	retinal	ADJ
cana-2484	68	15	images	image	NOUN
cana-2484	68	16	are	be	AUX
cana-2484	68	17	uploaded	upload	VERB
cana-2484	68	18	for	for	ADP
cana-2484	68	19	real	real	ADJ
cana-2484	68	20	-	-	PUNCT
cana-2484	68	21	time	time	NOUN
cana-2484	68	22	analysis	analysis	NOUN
cana-2484	68	23	and	and	CCONJ
cana-2484	68	24	as	as	ADP
cana-2484	68	25	a	a	DET
cana-2484	68	26	software	software	NOUN
cana-2484	68	27	standalone	standalone	NOUN
cana-2484	68	28	tool	tool	NOUN
cana-2484	68	29	that	that	PRON
cana-2484	68	30	can	can	AUX
cana-2484	68	31	be	be	AUX
cana-2484	68	32	installed	instal	VERB
cana-2484	68	33	in	in	ADP
cana-2484	68	34	clinics	clinic	NOUN
cana-2484	68	35	or	or	CCONJ
cana-2484	68	36	hospitals	hospital	NOUN
cana-2484	68	37	.	.	PUNCT
cana-2484	69	1	the	the	DET
cana-2484	69	2	user	user	NOUN
cana-2484	69	3	interface	interface	NOUN
cana-2484	69	4	of	of	ADP
cana-2484	69	5	the	the	DET
cana-2484	69	6	system	system	NOUN
cana-2484	69	7	should	should	AUX
cana-2484	69	8	be	be	AUX
cana-2484	69	9	accessible	accessible	ADJ
cana-2484	69	10	and	and	CCONJ
cana-2484	69	11	intuitive	intuitive	ADJ
cana-2484	69	12	,	,	PUNCT
cana-2484	69	13	allowing	allow	VERB
cana-2484	69	14	clinicians	clinician	NOUN
cana-2484	69	15	to	to	PART
cana-2484	69	16	submit	submit	VERB
cana-2484	69	17	worklists	worklist	NOUN
cana-2484	69	18	,	,	PUNCT
cana-2484	69	19	visualise	visualise	VERB
cana-2484	69	20	diagnostic	diagnostic	ADJ
cana-2484	69	21	output	output	NOUN
cana-2484	69	22	and	and	CCONJ
cana-2484	69	23	view	view	VERB
cana-2484	69	24	rationale	rationale	NOUN
cana-2484	69	25	for	for	ADP
cana-2484	69	26	decisions	decision	NOUN
cana-2484	69	27	which	which	PRON
cana-2484	69	28	have	have	AUX
cana-2484	69	29	been	be	AUX
cana-2484	69	30	made	make	VERB
cana-2484	69	31	by	by	ADP
cana-2484	69	32	the	the	DET
cana-2484	69	33	system[10	system[10	NOUN
cana-2484	69	34	]	]	PUNCT
cana-2484	69	35	.	.	PUNCT
cana-2484	70	1	clinical	clinical	ADJ
cana-2484	70	2	validation	validation	NOUN
cana-2484	70	3	:	:	PUNCT
cana-2484	70	4	the	the	DET
cana-2484	70	5	final	final	ADJ
cana-2484	70	6	element	element	NOUN
cana-2484	70	7	is	be	AUX
cana-2484	70	8	to	to	PART
cana-2484	70	9	prove	prove	VERB
cana-2484	70	10	or	or	CCONJ
cana-2484	70	11	disprove	disprove	VERB
cana-2484	70	12	real	real	ADJ
cana-2484	70	13	world	world	NOUN
cana-2484	70	14	clinical	clinical	ADJ
cana-2484	70	15	benefit	benefit	NOUN
cana-2484	70	16	.	.	PUNCT
cana-2484	71	1	this	this	PRON
cana-2484	71	2	requires	require	VERB
cana-2484	71	3	a	a	DET
cana-2484	71	4	series	series	NOUN
cana-2484	71	5	of	of	ADP
cana-2484	71	6	trials	trial	NOUN
cana-2484	71	7	,	,	PUNCT
cana-2484	71	8	which	which	PRON
cana-2484	71	9	involve	involve	VERB
cana-2484	71	10	the	the	DET
cana-2484	71	11	use	use	NOUN
cana-2484	71	12	of	of	ADP
cana-2484	71	13	the	the	DET
cana-2484	71	14	system	system	NOUN
cana-2484	71	15	for	for	ADP
cana-2484	71	16	analysing	analyse	VERB
cana-2484	71	17	retinal	retinal	ADJ
cana-2484	71	18	images	image	NOUN
cana-2484	71	19	acquired	acquire	VERB
cana-2484	71	20	from	from	ADP
cana-2484	71	21	real	real	ADJ
cana-2484	71	22	patients	patient	NOUN
cana-2484	71	23	and	and	CCONJ
cana-2484	71	24	performance	performance	NOUN
cana-2484	71	25	evaluation	evaluation	NOUN
cana-2484	71	26	compared	compare	VERB
cana-2484	71	27	with	with	ADP
cana-2484	71	28	expert	expert	NOUN
cana-2484	71	29	’s	’s	PART
cana-2484	71	30	opinion	opinion	NOUN
cana-2484	71	31	.	.	PUNCT
cana-2484	72	1	these	these	DET
cana-2484	72	2	trials	trial	NOUN
cana-2484	72	3	will	will	AUX
cana-2484	72	4	be	be	AUX
cana-2484	72	5	used	use	VERB
cana-2484	72	6	to	to	PART
cana-2484	72	7	help	help	VERB
cana-2484	72	8	get	get	VERB
cana-2484	72	9	feedback	feedback	NOUN
cana-2484	72	10	on	on	ADP
cana-2484	72	11	the	the	DET
cana-2484	72	12	systems	system	NOUN
cana-2484	72	13	and	and	CCONJ
cana-2484	72	14	make	make	VERB
cana-2484	72	15	sure	sure	ADJ
cana-2484	72	16	it	it	PRON
cana-2484	72	17	is	be	AUX
cana-2484	72	18	accurate	accurate	ADJ
cana-2484	72	19	,	,	PUNCT
cana-2484	72	20	reliable	reliable	ADJ
cana-2484	72	21	,	,	PUNCT
cana-2484	72	22	and	and	CCONJ
cana-2484	72	23	easy	easy	ADJ
cana-2484	72	24	to	to	ADP
cana-2484	72	25	use[26	use[26	PROPN
cana-2484	72	26	]	]	PUNCT
cana-2484	72	27	.	.	PUNCT
cana-2484	73	1	although	although	SCONJ
cana-2484	73	2	the	the	DET
cana-2484	73	3	application	application	NOUN
cana-2484	73	4	of	of	ADP
cana-2484	73	5	dnns	dnn	NOUN
cana-2484	73	6	and	and	CCONJ
cana-2484	73	7	fuzzy	fuzzy	ADJ
cana-2484	73	8	logic	logic	NOUN
cana-2484	73	9	seems	seem	VERB
cana-2484	73	10	promising	promise	VERB
cana-2484	73	11	to	to	PART
cana-2484	73	12	enhance	enhance	VERB
cana-2484	73	13	the	the	DET
cana-2484	73	14	early	early	ADJ
cana-2484	73	15	diagnosis	diagnosis	NOUN
cana-2484	73	16	,	,	PUNCT
cana-2484	73	17	and	and	CCONJ
cana-2484	73	18	hence	hence	ADV
cana-2484	73	19	management	management	NOUN
cana-2484	73	20	of	of	ADP
cana-2484	73	21	glaucoma	glaucoma	NOUN
cana-2484	73	22	and	and	CCONJ
cana-2484	73	23	dr	dr	PROPN
cana-2484	73	24	,	,	PUNCT
cana-2484	73	25	there	there	PRON
cana-2484	73	26	are	be	VERB
cana-2484	73	27	several	several	ADJ
cana-2484	73	28	limitations	limitation	NOUN
cana-2484	73	29	that	that	PRON
cana-2484	73	30	need	need	VERB
cana-2484	73	31	to	to	PART
cana-2484	73	32	be	be	AUX
cana-2484	73	33	addressed	address	VERB
cana-2484	73	34	.	.	PUNCT
cana-2484	74	1	an	an	DET
cana-2484	74	2	example	example	NOUN
cana-2484	74	3	of	of	ADP
cana-2484	74	4	such	such	DET
cana-2484	74	5	a	a	DET
cana-2484	74	6	challenge	challenge	NOUN
cana-2484	74	7	is	be	AUX
cana-2484	74	8	the	the	DET
cana-2484	74	9	requirement	requirement	NOUN
cana-2484	74	10	for	for	ADP
cana-2484	74	11	extensive	extensive	ADJ
cana-2484	74	12	,	,	PUNCT
cana-2484	74	13	diverse	diverse	ADJ
cana-2484	74	14	and	and	CCONJ
cana-2484	74	15	well	well	ADV
cana-2484	74	16	-	-	PUNCT
cana-2484	74	17	labelled	label	VERB
cana-2484	74	18	data	datum	NOUN
cana-2484	74	19	to	to	PART
cana-2484	74	20	train	train	VERB
cana-2484	74	21	the	the	DET
cana-2484	74	22	models	model	NOUN
cana-2484	74	23	.	.	PUNCT
cana-2484	75	1	methods	method	NOUN
cana-2484	75	2	of	of	ADP
cana-2484	75	3	obtaining	obtain	VERB
cana-2484	75	4	high	high	ADJ
cana-2484	75	5	-	-	PUNCT
cana-2484	75	6	quality	quality	NOUN
cana-2484	75	7	retinal	retinal	ADJ
cana-2484	75	8	images	image	NOUN
cana-2484	75	9	with	with	ADP
cana-2484	75	10	accurate	accurate	ADJ
cana-2484	75	11	labels	label	NOUN
cana-2484	75	12	are	be	AUX
cana-2484	75	13	not	not	PART
cana-2484	75	14	always	always	ADV
cana-2484	75	15	easily	easily	ADV
cana-2484	75	16	available	available	ADJ
cana-2484	75	17	,	,	PUNCT
cana-2484	75	18	especially	especially	ADV
cana-2484	75	19	in	in	ADP
cana-2484	75	20	resource	resource	NOUN
cana-2484	75	21	-	-	PUNCT
cana-2484	75	22	limited	limit	VERB
cana-2484	75	23	settings	setting	NOUN
cana-2484	75	24	.	.	PUNCT
cana-2484	76	1	another	another	DET
cana-2484	76	2	issue	issue	NOUN
cana-2484	76	3	is	be	AUX
cana-2484	76	4	that	that	SCONJ
cana-2484	76	5	models	model	NOUN
cana-2484	76	6	can	can	AUX
cana-2484	76	7	be	be	AUX
cana-2484	76	8	computationally	computationally	ADV
cana-2484	76	9	expensive	expensive	ADJ
cana-2484	76	10	,	,	PUNCT
cana-2484	76	11	potentially	potentially	ADV
cana-2484	76	12	requiring	require	VERB
cana-2484	76	13	high	high	ADJ
cana-2484	76	14	performance	performance	NOUN
cana-2484	76	15	hardware	hardware	NOUN
cana-2484	76	16	(	(	PUNCT
cana-2484	76	17	gpus	gpu	NOUN
cana-2484	76	18	,	,	PUNCT
cana-2484	76	19	etc	etc	X
cana-2484	76	20	)	)	PUNCT
cana-2484	76	21	for	for	ADP
cana-2484	76	22	real	real	ADJ
cana-2484	76	23	-	-	PUNCT
cana-2484	76	24	time	time	NOUN
cana-2484	76	25	throughput[9	throughput[9	PROPN
cana-2484	76	26	]	]	X
cana-2484	76	27	.	.	PUNCT
cana-2484	77	1	however	however	ADV
cana-2484	77	2	,	,	PUNCT
cana-2484	77	3	the	the	DET
cana-2484	77	4	future	future	NOUN
cana-2484	77	5	of	of	ADP
cana-2484	77	6	ai	ai	NOUN
cana-2484	77	7	in	in	ADP
cana-2484	77	8	ophthalmology	ophthalmology	NOUN
cana-2484	77	9	is	be	AUX
cana-2484	77	10	promising	promise	VERB
cana-2484	77	11	.	.	PUNCT
cana-2484	78	1	with	with	ADP
cana-2484	78	2	further	further	ADJ
cana-2484	78	3	advancements	advancement	NOUN
cana-2484	78	4	in	in	ADP
cana-2484	78	5	ai	ai	PROPN
cana-2484	78	6	and	and	CCONJ
cana-2484	78	7	the	the	DET
cana-2484	78	8	acquisition	acquisition	NOUN
cana-2484	78	9	of	of	ADP
cana-2484	78	10	more	more	ADJ
cana-2484	78	11	clinical	clinical	ADJ
cana-2484	78	12	data	datum	NOUN
cana-2484	78	13	,	,	PUNCT
cana-2484	78	14	as	as	ADV
cana-2484	78	15	well	well	ADV
cana-2484	78	16	as	as	ADP
cana-2484	78	17	ongoing	ongoing	ADJ
cana-2484	78	18	improvements	improvement	NOUN
cana-2484	78	19	to	to	PART
cana-2484	78	20	ia	ia	VERB
cana-2484	78	21	algorithms	algorithm	NOUN
cana-2484	78	22	for	for	ADP
cana-2484	78	23	diagnosis	diagnosis	NOUN
cana-2484	78	24	and	and	CCONJ
cana-2484	78	25	treatment	treatment	NOUN
cana-2484	78	26	purposes	purpose	NOUN
cana-2484	78	27	,	,	PUNCT
cana-2484	78	28	we	we	PRON
cana-2484	78	29	are	be	AUX
cana-2484	78	30	likely	likely	ADJ
cana-2484	78	31	to	to	PART
cana-2484	78	32	witness	witness	VERB
cana-2484	78	33	better	well	ADJ
cana-2484	78	34	diagnostics	diagnostic	NOUN
cana-2484	78	35	and	and	CCONJ
cana-2484	78	36	management	management	NOUN
cana-2484	78	37	systems	system	NOUN
cana-2484	78	38	for	for	ADP
cana-2484	78	39	glaucoma	glaucoma	NOUN
cana-2484	78	40	and	and	CCONJ
cana-2484	78	41	dr	dr	PROPN
cana-2484	78	42	.	.	PROPN
cana-2484	78	43	moreover	moreover	ADV
cana-2484	78	44	,	,	PUNCT
cana-2484	78	45	putting	put	VERB
cana-2484	78	46	these	these	DET
cana-2484	78	47	technologies	technology	NOUN
cana-2484	78	48	into	into	ADP
cana-2484	78	49	telemedicine	telemedicine	NOUN
cana-2484	78	50	platforms	platform	NOUN
cana-2484	78	51	will	will	AUX
cana-2484	78	52	help	help	VERB
cana-2484	78	53	increasing	increase	VERB
cana-2484	78	54	availability	availability	NOUN
cana-2484	78	55	in	in	ADP
cana-2484	78	56	underprivileged	underprivileged	ADJ
cana-2484	78	57	areas	area	NOUN
cana-2484	78	58	which	which	PRON
cana-2484	78	59	can	can	AUX
cana-2484	78	60	ultimately	ultimately	ADV
cana-2484	78	61	lead	lead	VERB
cana-2484	78	62	to	to	PART
cana-2484	78	63	lessen	lessen	VERB
cana-2484	78	64	preventable	preventable	ADJ
cana-2484	78	65	blindness	blindness	NOUN
cana-2484	78	66	at	at	ADP
cana-2484	78	67	a	a	DET
cana-2484	78	68	global	global	ADJ
cana-2484	78	69	level	level	NOUN
cana-2484	78	70	.	.	PUNCT
cana-2484	79	1	to	to	PART
cana-2484	79	2	summarize	summarize	VERB
cana-2484	79	3	,	,	PUNCT
cana-2484	79	4	the	the	DET
cana-2484	79	5	recent	recent	ADJ
cana-2484	79	6	applications	application	NOUN
cana-2484	79	7	of	of	ADP
cana-2484	79	8	dnns	dnn	NOUN
cana-2484	79	9	and	and	CCONJ
cana-2484	79	10	fuzzy	fuzzy	ADJ
cana-2484	79	11	logic	logic	NOUN
cana-2484	79	12	toward	toward	ADP
cana-2484	79	13	early	early	ADJ
cana-2484	79	14	diagnosis	diagnosis	NOUN
cana-2484	79	15	and	and	CCONJ
cana-2484	79	16	treatment	treatment	NOUN
cana-2484	79	17	for	for	ADP
cana-2484	79	18	glaucoma	glaucoma	NOUN
cana-2484	79	19	and	and	CCONJ
cana-2484	79	20	diabetic	diabetic	ADJ
cana-2484	79	21	retinopathy	retinopathy	NOUN
cana-2484	79	22	are	be	AUX
cana-2484	79	23	an	an	DET
cana-2484	79	24	evolution	evolution	NOUN
cana-2484	79	25	in	in	ADP
cana-2484	79	26	ophthalmology	ophthalmology	NOUN
cana-2484	79	27	.	.	PUNCT
cana-2484	80	1	integrating	integrate	VERB
cana-2484	80	2	the	the	DET
cana-2484	80	3	capability	capability	NOUN
cana-2484	80	4	of	of	ADP
cana-2484	80	5	deep	deep	ADJ
cana-2484	80	6	learning	learning	NOUN
cana-2484	80	7	and	and	CCONJ
cana-2484	80	8	the	the	DET
cana-2484	80	9	adaptability	adaptability	NOUN
cana-2484	80	10	of	of	ADP
cana-2484	80	11	fuzzy	fuzzy	ADJ
cana-2484	80	12	logic	logic	NOUN
cana-2484	80	13	,	,	PUNCT
cana-2484	80	14	those	those	DET
cana-2484	80	15	systems	system	NOUN
cana-2484	80	16	can	can	AUX
cana-2484	80	17	be	be	AUX
cana-2484	80	18	an	an	DET
cana-2484	80	19	innovative	innovative	ADJ
cana-2484	80	20	approach	approach	NOUN
cana-2484	80	21	to	to	ADP
cana-2484	80	22	changing	change	VERB
cana-2484	80	23	the	the	DET
cana-2484	80	24	diagnosis	diagnosis	NOUN
cana-2484	80	25	and	and	CCONJ
cana-2484	80	26	management	management	NOUN
cana-2484	80	27	of	of	ADP
cana-2484	80	28	these	these	DET
cana-2484	80	29	disorders	disorder	NOUN
cana-2484	80	30	in	in	ADP
cana-2484	80	31	a	a	DET
cana-2484	80	32	benefit	benefit	NOUN
cana-2484	80	33	to	to	ADP
cana-2484	80	34	both	both	DET
cana-2484	80	35	patients	patient	NOUN
cana-2484	80	36	and	and	CCONJ
cana-2484	80	37	healthcare	healthcare	PROPN
cana-2484	80	38	providers[11	providers[11	X
cana-2484	80	39	]	]	PUNCT
cana-2484	80	40	.	.	PUNCT
cana-2484	81	1	2	2	X
cana-2484	81	2	.	.	X
cana-2484	81	3	related	relate	VERB
cana-2484	81	4	work	work	NOUN
cana-2484	81	5	:	:	PUNCT
cana-2484	81	6	in	in	ADP
cana-2484	81	7	the	the	DET
cana-2484	81	8	detection	detection	NOUN
cana-2484	81	9	of	of	ADP
cana-2484	81	10	glaucoma	glaucoma	NOUN
cana-2484	81	11	and	and	CCONJ
cana-2484	81	12	diabetic	diabetic	ADJ
cana-2484	81	13	retinopathy	retinopathy	ADJ
cana-2484	81	14	dr	dr	PROPN
cana-2484	81	15	have	have	AUX
cana-2484	81	16	received	receive	VERB
cana-2484	81	17	considerable	considerable	ADJ
cana-2484	81	18	attention	attention	NOUN
cana-2484	81	19	in	in	ADP
cana-2484	81	20	the	the	DET
cana-2484	81	21	medical	medical	ADJ
cana-2484	81	22	field	field	NOUN
cana-2484	81	23	to	to	PART
cana-2484	81	24	automate	automate	VERB
cana-2484	81	25	early	early	ADJ
cana-2484	81	26	diagnose	diagnose	NOUN
cana-2484	81	27	and	and	CCONJ
cana-2484	81	28	diagnose	diagnose	VERB
cana-2484	81	29	it	it	PRON
cana-2484	81	30	,	,	PUNCT
cana-2484	81	31	lots	lot	NOUN
cana-2484	81	32	of	of	ADP
cana-2484	81	33	attempts	attempt	NOUN
cana-2484	81	34	have	have	AUX
cana-2484	81	35	already	already	ADV
cana-2484	81	36	performed	perform	VERB
cana-2484	81	37	based	base	VERB
cana-2484	81	38	on	on	ADP
cana-2484	81	39	integration	integration	NOUN
cana-2484	81	40	deep	deep	ADJ
cana-2484	81	41	neural	neural	ADJ
cana-2484	81	42	networks	network	NOUN
cana-2484	81	43	(	(	PUNCT
cana-2484	81	44	dnns	dnn	NOUN
cana-2484	81	45	)	)	PUNCT
cana-2484	81	46	with	with	ADP
cana-2484	81	47	fuzzy	fuzzy	ADJ
cana-2484	81	48	logic	logic	NOUN
cana-2484	81	49	systems	system	NOUN
cana-2484	81	50	.	.	PUNCT
cana-2484	82	1	the	the	DET
cana-2484	82	2	traditional	traditional	ADJ
cana-2484	82	3	methods	method	NOUN
cana-2484	82	4	of	of	ADP
cana-2484	82	5	these	these	DET
cana-2484	82	6	approaches	approach	NOUN
cana-2484	82	7	are	be	AUX
cana-2484	82	8	being	be	AUX
cana-2484	82	9	adopted	adopt	VERB
cana-2484	82	10	increasingly	increasingly	ADV
cana-2484	82	11	because	because	SCONJ
cana-2484	82	12	they	they	PRON
cana-2484	82	13	improve	improve	VERB
cana-2484	82	14	the	the	DET
cana-2484	82	15	correctness	correctness	NOUN
cana-2484	82	16	and	and	CCONJ
cana-2484	82	17	dependability	dependability	NOUN
cana-2484	82	18	of	of	ADP
cana-2484	82	19	medical	medical	ADJ
cana-2484	82	20	imaging	imaging	NOUN
cana-2484	82	21	prediction	prediction	NOUN
cana-2484	82	22	.	.	PUNCT
cana-2484	83	1	the	the	DET
cana-2484	83	2	state	state	NOUN
cana-2484	83	3	-	-	PUNCT
cana-2484	83	4	of	of	ADP
cana-2484	83	5	-	-	PUNCT
cana-2484	83	6	the	the	DET
cana-2484	83	7	-	-	PUNCT
cana-2484	83	8	art	art	NOUN
cana-2484	83	9	methods	method	NOUN
cana-2484	83	10	and	and	CCONJ
cana-2484	83	11	the	the	DET
cana-2484	83	12	main	main	ADJ
cana-2484	83	13	contributions	contribution	NOUN
cana-2484	83	14	on	on	ADP
cana-2484	83	15	detection	detection	NOUN
cana-2484	83	16	of	of	ADP
cana-2484	83	17	these	these	DET
cana-2484	83	18	diseases	disease	NOUN
cana-2484	83	19	in	in	ADP
cana-2484	83	20	the	the	DET
cana-2484	83	21	eye	eye	NOUN
cana-2484	83	22	using	use	VERB
cana-2484	83	23	ai	ai	VERB
cana-2484	83	24	techniques	technique	NOUN
cana-2484	83	25	,	,	PUNCT
cana-2484	83	26	mainly	mainly	ADV
cana-2484	83	27	deep	deep	ADJ
cana-2484	83	28	learning	learning	NOUN
cana-2484	83	29	(	(	PUNCT
cana-2484	83	30	dl	dl	NOUN
cana-2484	83	31	)	)	PUNCT
cana-2484	83	32	and	and	CCONJ
cana-2484	83	33	fuzzy	fuzzy	ADJ
cana-2484	83	34	logic	logic	NOUN
cana-2484	83	35	,	,	PUNCT
cana-2484	83	36	are	be	AUX
cana-2484	83	37	over	over	ADV
cana-2484	83	38	-	-	PUNCT
cana-2484	83	39	viewed	view	VERB
cana-2484	83	40	in	in	ADP
cana-2484	83	41	the	the	DET
cana-2484	83	42	next	next	ADJ
cana-2484	83	43	section	section	NOUN
cana-2484	83	44	.	.	PUNCT
cana-2484	84	1	communications	communication	NOUN
cana-2484	84	2	on	on	ADP
cana-2484	84	3	applied	apply	VERB
cana-2484	84	4	nonlinear	nonlinear	ADJ
cana-2484	84	5	analysis	analysis	NOUN
cana-2484	84	6	issn	issn	NOUN
cana-2484	84	7	:	:	PUNCT
cana-2484	84	8	1074	1074	NUM
cana-2484	84	9	-	-	PUNCT
cana-2484	84	10	133x	133x	NUM
cana-2484	84	11	vol	vol	NOUN
cana-2484	84	12	32	32	NUM
cana-2484	84	13	no	no	NOUN
cana-2484	84	14	.	.	PUNCT
cana-2484	85	1	2s	2s	NUM
cana-2484	85	2	(	(	PUNCT
cana-2484	85	3	2025	2025	NUM
cana-2484	85	4	)	)	PUNCT
cana-2484	85	5	497	497	NUM
cana-2484	85	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-2484	85	7	glaucoma	glaucoma	NOUN
cana-2484	85	8	detection	detection	NOUN
cana-2484	85	9	using	use	VERB
cana-2484	85	10	deep	deep	ADJ
cana-2484	85	11	learning	learning	NOUN
cana-2484	85	12	:	:	PUNCT
cana-2484	85	13	the	the	DET
cana-2484	85	14	diagnosis	diagnosis	NOUN
cana-2484	85	15	of	of	ADP
cana-2484	85	16	glaucoma	glaucoma	NOUN
cana-2484	85	17	using	use	VERB
cana-2484	85	18	deep	deep	ADJ
cana-2484	85	19	learning	learning	NOUN
cana-2484	85	20	methods	method	NOUN
cana-2484	85	21	has	have	AUX
cana-2484	85	22	achieved	achieve	VERB
cana-2484	85	23	a	a	DET
cana-2484	85	24	good	good	ADJ
cana-2484	85	25	level	level	NOUN
cana-2484	85	26	in	in	ADP
cana-2484	85	27	the	the	DET
cana-2484	85	28	recent	recent	ADJ
cana-2484	85	29	years	year	NOUN
cana-2484	85	30	.	.	PUNCT
cana-2484	86	1	convolutional	convolutional	ADJ
cana-2484	86	2	neural	neural	ADJ
cana-2484	86	3	networks	network	NOUN
cana-2484	86	4	(	(	PUNCT
cana-2484	86	5	cnns	cnns	PROPN
cana-2484	86	6	)	)	PUNCT
cana-2484	86	7	have	have	AUX
cana-2484	86	8	been	be	AUX
cana-2484	86	9	one	one	NUM
cana-2484	86	10	of	of	ADP
cana-2484	86	11	the	the	DET
cana-2484	86	12	most	most	ADV
cana-2484	86	13	interesting	interesting	ADJ
cana-2484	86	14	approaches	approach	NOUN
cana-2484	86	15	used	use	VERB
cana-2484	86	16	for	for	ADP
cana-2484	86	17	the	the	DET
cana-2484	86	18	early	early	ADJ
cana-2484	86	19	detection	detection	NOUN
cana-2484	86	20	of	of	ADP
cana-2484	86	21	glaucoma	glaucoma	NOUN
cana-2484	86	22	through	through	ADP
cana-2484	86	23	processing	process	VERB
cana-2484	86	24	retinal	retinal	ADJ
cana-2484	86	25	fundus	fundus	NOUN
cana-2484	86	26	images	image	NOUN
cana-2484	86	27	.	.	PUNCT
cana-2484	87	1	deep	deep	ADJ
cana-2484	87	2	convolutional	convolutional	ADJ
cana-2484	87	3	neural	neural	ADJ
cana-2484	87	4	networks	network	NOUN
cana-2484	87	5	(	(	PUNCT
cana-2484	87	6	cnns	cnns	PROPN
cana-2484	87	7	)	)	PUNCT
cana-2484	87	8	have	have	AUX
cana-2484	87	9	demonstrated	demonstrate	VERB
cana-2484	87	10	success	success	NOUN
cana-2484	87	11	in	in	ADP
cana-2484	87	12	sdoct	sdoct	PROPN
cana-2484	87	13	imaging	imaging	NOUN
cana-2484	87	14	for	for	ADP
cana-2484	87	15	diagnosis	diagnosis	NOUN
cana-2484	87	16	of	of	ADP
cana-2484	87	17	glaucoma	glaucoma	NOUN
cana-2484	87	18	by	by	ADP
cana-2484	87	19	detection	detection	NOUN
cana-2484	87	20	of	of	ADP
cana-2484	87	21	optic	optic	ADJ
cana-2484	87	22	nerve	nerve	NOUN
cana-2484	87	23	damage	damage	NOUN
cana-2484	87	24	and	and	CCONJ
cana-2484	87	25	other	other	ADJ
cana-2484	87	26	glaucomatous	glaucomatous	ADJ
cana-2484	87	27	features[12	features[12	NOUN
cana-2484	87	28	-	-	PUNCT
cana-2484	87	29	15	15	NUM
cana-2484	87	30	]	]	PUNCT
cana-2484	87	31	.	.	PUNCT
cana-2484	88	1	in	in	ADP
cana-2484	88	2	comparison	comparison	NOUN
cana-2484	88	3	a	a	DET
cana-2484	88	4	superior	superior	ADJ
cana-2484	88	5	way	way	NOUN
cana-2484	88	6	-	-	PUNCT
cana-2484	88	7	through	through	ADP
cana-2484	88	8	hybrid	hybrid	ADJ
cana-2484	88	9	architectures	architecture	NOUN
cana-2484	88	10	that	that	PRON
cana-2484	88	11	uses	use	VERB
cana-2484	88	12	well	well	ADV
cana-2484	88	13	optimal	optimal	ADJ
cana-2484	88	14	deep	deep	ADJ
cana-2484	88	15	neuro	neuro	NOUN
cana-2484	88	16	-	-	PUNCT
cana-2484	88	17	fuzzy	fuzzy	ADJ
cana-2484	88	18	network	network	NOUN
cana-2484	88	19	is	be	AUX
cana-2484	88	20	suggested	suggest	VERB
cana-2484	88	21	by	by	ADP
cana-2484	88	22	researchers	researcher	NOUN
cana-2484	88	23	for	for	ADP
cana-2484	88	24	better	well	ADJ
cana-2484	88	25	glaucoma	glaucoma	NOUN
cana-2484	88	26	detection	detection	NOUN
cana-2484	88	27	accuracy	accuracy	NOUN
cana-2484	88	28	.	.	PUNCT
cana-2484	89	1	they	they	PRON
cana-2484	89	2	discuss	discuss	VERB
cana-2484	89	3	above	above	ADP
cana-2484	89	4	system	system	NOUN
cana-2484	89	5	having	have	VERB
cana-2484	89	6	the	the	DET
cana-2484	89	7	capability	capability	NOUN
cana-2484	89	8	to	to	PART
cana-2484	89	9	be	be	AUX
cana-2484	89	10	integrated	integrate	VERB
cana-2484	89	11	with	with	ADP
cana-2484	89	12	fuzzy	fuzzy	ADJ
cana-2484	89	13	logic	logic	NOUN
cana-2484	89	14	which	which	PRON
cana-2484	89	15	is	be	AUX
cana-2484	89	16	well	well	ADV
cana-2484	89	17	suited	suited	ADJ
cana-2484	89	18	for	for	ADP
cana-2484	89	19	handling	handle	VERB
cana-2484	89	20	uncertainty	uncertainty	NOUN
cana-2484	89	21	in	in	ADP
cana-2484	89	22	medical	medical	ADJ
cana-2484	89	23	diagnosis	diagnosis	NOUN
cana-2484	89	24	leading	lead	VERB
cana-2484	89	25	to	to	ADP
cana-2484	89	26	more	more	ADV
cana-2484	89	27	interpretable	interpretable	ADJ
cana-2484	89	28	and	and	CCONJ
cana-2484	89	29	accurate	accurate	ADJ
cana-2484	89	30	outcomes	outcome	NOUN
cana-2484	89	31	.	.	PUNCT
cana-2484	90	1	besides	besides	ADV
cana-2484	90	2	in	in	ADP
cana-2484	90	3	the	the	DET
cana-2484	90	4	same	same	ADJ
cana-2484	90	5	contact	contact	NOUN
cana-2484	90	6	,	,	PUNCT
cana-2484	90	7	another	another	DET
cana-2484	90	8	frontier	frontier	NOUN
cana-2484	90	9	improves	improve	VERB
cana-2484	90	10	upon	upon	SCONJ
cana-2484	90	11	hybrid	hybrid	ADJ
cana-2484	90	12	methods	method	NOUN
cana-2484	90	13	using	use	VERB
cana-2484	90	14	dnns	dnn	NOUN
cana-2484	90	15	and	and	CCONJ
cana-2484	90	16	fuzzy	fuzzy	ADJ
cana-2484	90	17	expert	expert	NOUN
cana-2484	90	18	systems	system	NOUN
cana-2484	90	19	for	for	ADP
cana-2484	90	20	early	early	ADJ
cana-2484	90	21	detection	detection	NOUN
cana-2484	90	22	of	of	ADP
cana-2484	90	23	research	research	NOUN
cana-2484	90	24	published	publish	VERB
cana-2484	90	25	details	detail	NOUN
cana-2484	90	26	how	how	SCONJ
cana-2484	90	27	fuzzy	fuzzy	ADJ
cana-2484	90	28	expert	expert	NOUN
cana-2484	90	29	systems	system	NOUN
cana-2484	90	30	(	(	PUNCT
cana-2484	90	31	fuzzy	fuzzy	ADJ
cana-2484	90	32	clips	clip	NOUN
cana-2484	90	33	)	)	PUNCT
cana-2484	90	34	pre	pre	NOUN
cana-2484	90	35	-	-	NOUN
cana-2484	90	36	treatment	treatment	NOUN
cana-2484	90	37	helps	help	VERB
cana-2484	90	38	in	in	ADP
cana-2484	90	39	early	early	ADJ
cana-2484	90	40	diagnosis	diagnosis	NOUN
cana-2484	90	41	of	of	ADP
cana-2484	90	42	glaucoma	glaucoma	NOUN
cana-2484	90	43	using	use	VERB
cana-2484	90	44	onh	onh	PROPN
cana-2484	90	45	images	image	NOUN
cana-2484	90	46	.	.	PUNCT
cana-2484	91	1	this	this	DET
cana-2484	91	2	system	system	NOUN
cana-2484	91	3	is	be	AUX
cana-2484	91	4	an	an	DET
cana-2484	91	5	amalgamation	amalgamation	NOUN
cana-2484	91	6	of	of	ADP
cana-2484	91	7	fuzzy	fuzzy	ADJ
cana-2484	91	8	rules	rule	NOUN
cana-2484	91	9	and	and	CCONJ
cana-2484	91	10	image	image	NOUN
cana-2484	91	11	processing	processing	NOUN
cana-2484	91	12	techniques	technique	NOUN
cana-2484	91	13	,	,	PUNCT
cana-2484	91	14	thus	thus	ADV
cana-2484	91	15	detecting	detect	VERB
cana-2484	91	16	the	the	DET
cana-2484	91	17	early	early	ADJ
cana-2484	91	18	-	-	PUNCT
cana-2484	91	19	stage	stage	NOUN
cana-2484	91	20	glaucoma	glaucoma	NOUN
cana-2484	91	21	in	in	ADP
cana-2484	91	22	a	a	DET
cana-2484	91	23	softer	soft	ADJ
cana-2484	91	24	way	way	NOUN
cana-2484	91	25	than	than	ADP
cana-2484	91	26	many	many	ADJ
cana-2484	91	27	detection	detection	NOUN
cana-2484	91	28	methods	method	NOUN
cana-2484	91	29	.	.	PUNCT
cana-2484	92	1	convolutional	convolutional	ADJ
cana-2484	92	2	neural	neural	ADJ
cana-2484	92	3	networks	network	NOUN
cana-2484	92	4	(	(	PUNCT
cana-2484	92	5	cnn	cnn	PROPN
cana-2484	92	6	)	)	PUNCT
cana-2484	92	7	apply	apply	VERB
cana-2484	92	8	to	to	ADP
cana-2484	92	9	diabetic	diabetic	ADJ
cana-2484	92	10	retinopathy	retinopathy	ADJ
cana-2484	92	11	detection	detection	NOUN
cana-2484	92	12	:	:	PUNCT
cana-2484	92	13	deep	deep	ADJ
cana-2484	92	14	learning	learning	NOUN
cana-2484	92	15	,	,	PUNCT
cana-2484	92	16	has	have	AUX
cana-2484	92	17	also	also	ADV
cana-2484	92	18	been	be	AUX
cana-2484	92	19	widely	widely	ADV
cana-2484	92	20	utilized	utilize	VERB
cana-2484	92	21	in	in	ADP
cana-2484	92	22	diabetic	diabetic	ADJ
cana-2484	92	23	retinopathy	retinopathy	NOUN
cana-2484	92	24	.	.	PUNCT
cana-2484	93	1	deep	deep	ADJ
cana-2484	93	2	learning	learning	NOUN
cana-2484	93	3	-	-	PUNCT
cana-2484	93	4	based	base	VERB
cana-2484	93	5	systems	system	NOUN
cana-2484	93	6	(	(	PUNCT
cana-2484	93	7	e.g.	e.g.	ADV
cana-2484	93	8	,	,	PUNCT
cana-2484	93	9	cnns	cnn	NOUN
cana-2484	93	10	)	)	PUNCT
cana-2484	93	11	have	have	AUX
cana-2484	93	12	been	be	AUX
cana-2484	93	13	widely	widely	ADV
cana-2484	93	14	studied	study	VERB
cana-2484	93	15	in	in	ADP
cana-2484	93	16	the	the	DET
cana-2484	93	17	detection	detection	NOUN
cana-2484	93	18	of	of	ADP
cana-2484	93	19	dr	dr	PROPN
cana-2484	93	20	at	at	ADP
cana-2484	93	21	an	an	DET
cana-2484	93	22	early	early	ADJ
cana-2484	93	23	stage	stage	NOUN
cana-2484	93	24	.	.	PUNCT
cana-2484	94	1	a	a	DET
cana-2484	94	2	computer	computer	NOUN
cana-2484	94	3	-	-	PUNCT
cana-2484	94	4	aided	aid	VERB
cana-2484	94	5	detection	detection	NOUN
cana-2484	94	6	by	by	ADP
cana-2484	94	7	ai	ai	PRON
cana-2484	94	8	method	method	NOUN
cana-2484	94	9	of	of	ADP
cana-2484	94	10	retinal	retinal	ADJ
cana-2484	94	11	fundus	fundus	NOUN
cana-2484	94	12	images	image	NOUN
cana-2484	94	13	to	to	PART
cana-2484	94	14	evaluate	evaluate	VERB
cana-2484	94	15	the	the	DET
cana-2484	94	16	diagnostic	diagnostic	ADJ
cana-2484	94	17	performance	performance	NOUN
cana-2484	94	18	in	in	ADP
cana-2484	94	19	detecting	detect	VERB
cana-2484	94	20	dr	dr	PROPN
cana-2484	94	21	at	at	ADP
cana-2484	94	22	various	various	ADJ
cana-2484	94	23	severity	severity	NOUN
cana-2484	94	24	stages	stage	NOUN
cana-2484	94	25	.	.	PUNCT
cana-2484	95	1	the	the	DET
cana-2484	95	2	system	system	NOUN
cana-2484	95	3	exhibited	exhibit	VERB
cana-2484	95	4	the	the	DET
cana-2484	95	5	capacity	capacity	NOUN
cana-2484	95	6	to	to	PART
cana-2484	95	7	automate	automate	VERB
cana-2484	95	8	diagnostic	diagnostic	ADJ
cana-2484	95	9	work	work	NOUN
cana-2484	95	10	for	for	ADP
cana-2484	95	11	early	early	ADJ
cana-2484	95	12	disease	disease	NOUN
cana-2484	95	13	management	management	NOUN
cana-2484	95	14	with	with	ADP
cana-2484	95	15	ai	ai	PROPN
cana-2484	95	16	intervention	intervention	NOUN
cana-2484	95	17	at	at	ADP
cana-2484	95	18	appropriate	appropriate	ADJ
cana-2484	95	19	times.leveraging	times.leveraging	NUM
cana-2484	95	20	deep	deep	ADJ
cana-2484	95	21	learning	learning	NOUN
cana-2484	95	22	models	model	NOUN
cana-2484	95	23	integrated	integrate	VERB
cana-2484	95	24	into	into	ADP
cana-2484	95	25	smartphone	smartphone	NOUN
cana-2484	95	26	-	-	PUNCT
cana-2484	95	27	based	base	VERB
cana-2484	95	28	retinal	retinal	ADJ
cana-2484	95	29	imaging	imaging	NOUN
cana-2484	95	30	systems	system	NOUN
cana-2484	95	31	has	have	AUX
cana-2484	95	32	recently	recently	ADV
cana-2484	95	33	shown	show	VERB
cana-2484	95	34	promise	promise	NOUN
cana-2484	95	35	as	as	ADP
cana-2484	95	36	a	a	DET
cana-2484	95	37	novel	novel	ADJ
cana-2484	95	38	approach	approach	NOUN
cana-2484	95	39	to	to	PART
cana-2484	95	40	further	far	ADV
cana-2484	95	41	democratize	democratize	VERB
cana-2484	95	42	dr	dr	PROPN
cana-2484	95	43	screening	screening	NOUN
cana-2484	95	44	.	.	PUNCT
cana-2484	96	1	patients	patient	NOUN
cana-2484	96	2	in	in	ADP
cana-2484	96	3	low	low	ADJ
cana-2484	96	4	-	-	PUNCT
cana-2484	96	5	resource	resource	NOUN
cana-2484	96	6	setting	setting	NOUN
cana-2484	96	7	with	with	ADP
cana-2484	96	8	limited	limited	ADJ
cana-2484	96	9	availability	availability	NOUN
cana-2484	96	10	of	of	ADP
cana-2484	96	11	special	special	ADJ
cana-2484	96	12	equipment	equipment	NOUN
cana-2484	96	13	have	have	VERB
cana-2484	96	14	the	the	DET
cana-2484	96	15	potential	potential	ADJ
cana-2484	96	16	benefit	benefit	NOUN
cana-2484	96	17	of	of	ADP
cana-2484	96	18	these	these	DET
cana-2484	96	19	ai	ai	NOUN
cana-2484	96	20	models	model	NOUN
cana-2484	96	21	to	to	PART
cana-2484	96	22	detect	detect	VERB
cana-2484	96	23	dr	dr	PROPN
cana-2484	96	24	using	use	VERB
cana-2484	96	25	slippery	slippery	ADJ
cana-2484	96	26	retinal	retinal	ADJ
cana-2484	96	27	imaging	imaging	NOUN
cana-2484	96	28	via	via	ADP
cana-2484	96	29	smartphones	smartphone	NOUN
cana-2484	96	30	according	accord	VERB
cana-2484	96	31	to	to	ADP
cana-2484	96	32	a	a	DET
cana-2484	96	33	research	research	NOUN
cana-2484	96	34	published	publish	VERB
cana-2484	96	35	last	last	ADJ
cana-2484	96	36	year	year	NOUN
cana-2484	96	37	in	in	ADP
cana-2484	96	38	annals	annal	NOUN
cana-2484	96	39	eye	eye	PROPN
cana-2484	96	40	science	science	PROPN
cana-2484	96	41	source	source	NOUN
cana-2484	96	42	.	.	PUNCT
cana-2484	97	1	another	another	DET
cana-2484	97	2	methodology	methodology	NOUN
cana-2484	97	3	is	be	AUX
cana-2484	97	4	combination	combination	NOUN
cana-2484	97	5	of	of	ADP
cana-2484	97	6	deep	deep	ADJ
cana-2484	97	7	neural	neural	ADJ
cana-2484	97	8	networks	network	NOUN
cana-2484	97	9	with	with	ADP
cana-2484	97	10	fuzzy	fuzzy	ADJ
cana-2484	97	11	logic	logic	NOUN
cana-2484	97	12	system	system	NOUN
cana-2484	97	13	in	in	ADP
cana-2484	97	14	order	order	NOUN
cana-2484	97	15	to	to	PART
cana-2484	97	16	enhance	enhance	VERB
cana-2484	97	17	detection	detection	NOUN
cana-2484	97	18	of	of	ADP
cana-2484	97	19	diabetic	diabetic	ADJ
cana-2484	97	20	retinopathy	retinopathy	NOUN
cana-2484	97	21	.	.	PUNCT
cana-2484	98	1	fuzzy	fuzzy	ADJ
cana-2484	98	2	logic	logic	NOUN
cana-2484	98	3	assists	assist	NOUN
cana-2484	98	4	in	in	ADP
cana-2484	98	5	proper	proper	ADJ
cana-2484	98	6	resolution	resolution	NOUN
cana-2484	98	7	of	of	ADP
cana-2484	98	8	uncertainty	uncertainty	NOUN
cana-2484	98	9	during	during	ADP
cana-2484	98	10	classification	classification	NOUN
cana-2484	98	11	of	of	ADP
cana-2484	98	12	the	the	DET
cana-2484	98	13	dr	dr	PROPN
cana-2484	98	14	stages	stage	NOUN
cana-2484	98	15	,	,	PUNCT
cana-2484	98	16	particularly	particularly	ADV
cana-2484	98	17	on	on	ADP
cana-2484	98	18	borderline	borderline	NOUN
cana-2484	98	19	cases	case	NOUN
cana-2484	98	20	.	.	PUNCT
cana-2484	99	1	for	for	ADP
cana-2484	99	2	example	example	NOUN
cana-2484	99	3	,	,	PUNCT
cana-2484	99	4	studies	study	NOUN
cana-2484	99	5	on	on	ADP
cana-2484	99	6	fuzzy	fuzzy	ADJ
cana-2484	99	7	clustering	clustering	ADJ
cana-2484	99	8	methods	method	NOUN
cana-2484	99	9	for	for	ADP
cana-2484	99	10	the	the	DET
cana-2484	99	11	different	different	ADJ
cana-2484	99	12	microaneurysm	microaneurysm	NOUN
cana-2484	99	13	lesion	lesion	NOUN
cana-2484	99	14	detection	detection	NOUN
cana-2484	99	15	stages	stage	NOUN
cana-2484	99	16	have	have	VERB
cana-2484	99	17	potential	potential	NOUN
cana-2484	99	18	to	to	PART
cana-2484	99	19	increase	increase	VERB
cana-2484	99	20	diagnostic	diagnostic	ADJ
cana-2484	99	21	accuracy	accuracy	NOUN
cana-2484	99	22	in	in	ADP
cana-2484	99	23	early	early	ADJ
cana-2484	99	24	dr[25	dr[25	PROPN
cana-2484	99	25	]	]	PUNCT
cana-2484	99	26	.	.	PUNCT
cana-2484	100	1	medical	medical	ADJ
cana-2484	100	2	diagnosis	diagnosis	NOUN
cana-2484	100	3	using	use	VERB
cana-2484	100	4	fuzzy	fuzzy	ADJ
cana-2484	100	5	logic	logic	NOUN
cana-2484	100	6	with	with	ADP
cana-2484	100	7	image	image	NOUN
cana-2484	100	8	processing	processing	NOUN
cana-2484	100	9	:	:	PUNCT
cana-2484	100	10	soft	soft	ADJ
cana-2484	100	11	computing	computing	NOUN
cana-2484	100	12	was	be	AUX
cana-2484	100	13	developed	develop	VERB
cana-2484	100	14	with	with	ADP
cana-2484	100	15	fuzzy	fuzzy	ADJ
cana-2484	100	16	logic	logic	NOUN
cana-2484	100	17	,	,	PUNCT
cana-2484	100	18	which	which	PRON
cana-2484	100	19	has	have	AUX
cana-2484	100	20	considered	consider	VERB
cana-2484	100	21	an	an	DET
cana-2484	100	22	application	application	NOUN
cana-2484	100	23	of	of	ADP
cana-2484	100	24	uncertainty	uncertainty	NOUN
cana-2484	100	25	and	and	CCONJ
cana-2484	100	26	imprecision	imprecision	NOUN
cana-2484	100	27	in	in	ADP
cana-2484	100	28	the	the	DET
cana-2484	100	29	medical	medical	ADJ
cana-2484	100	30	diagnosis	diagnosis	NOUN
cana-2484	100	31	as	as	ADP
cana-2484	100	32	a	a	DET
cana-2484	100	33	domain	domain	NOUN
cana-2484	100	34	.	.	PUNCT
cana-2484	101	1	fuzzy	fuzzy	ADJ
cana-2484	101	2	logic	logic	NOUN
cana-2484	101	3	which	which	PRON
cana-2484	101	4	can	can	AUX
cana-2484	101	5	handle	handle	VERB
cana-2484	101	6	fuzzy	fuzzy	ADJ
cana-2484	101	7	truth	truth	NOUN
cana-2484	101	8	values	value	NOUN
cana-2484	101	9	is	be	AUX
cana-2484	101	10	especially	especially	ADV
cana-2484	101	11	utility	utility	NOUN
cana-2484	101	12	in	in	ADP
cana-2484	101	13	the	the	DET
cana-2484	101	14	context	context	NOUN
cana-2484	101	15	of	of	ADP
cana-2484	101	16	dr	dr	PROPN
cana-2484	101	17	and	and	CCONJ
cana-2484	101	18	glaucoma	glaucoma	PROPN
cana-2484	101	19	,	,	PUNCT
cana-2484	101	20	since	since	SCONJ
cana-2484	101	21	the	the	DET
cana-2484	101	22	development	development	NOUN
cana-2484	101	23	of	of	ADP
cana-2484	101	24	these	these	DET
cana-2484	101	25	diseases	disease	NOUN
cana-2484	101	26	are	be	AUX
cana-2484	101	27	gradual	gradual	ADJ
cana-2484	101	28	and	and	CCONJ
cana-2484	101	29	are	be	AUX
cana-2484	101	30	not	not	PART
cana-2484	101	31	always	always	ADV
cana-2484	101	32	well	well	ADV
cana-2484	101	33	-	-	PUNCT
cana-2484	101	34	defined	define	VERB
cana-2484	101	35	.	.	PUNCT
cana-2484	102	1	a	a	DET
cana-2484	102	2	study	study	NOUN
cana-2484	102	3	on	on	ADP
cana-2484	102	4	the	the	DET
cana-2484	102	5	review	review	NOUN
cana-2484	102	6	of	of	ADP
cana-2484	102	7	fuzzy	fuzzy	ADJ
cana-2484	102	8	logic	logic	NOUN
cana-2484	102	9	-	-	PUNCT
cana-2484	102	10	based	base	VERB
cana-2484	102	11	systems	system	NOUN
cana-2484	102	12	for	for	ADP
cana-2484	102	13	early	early	ADJ
cana-2484	102	14	glaucoma	glaucoma	NOUN
cana-2484	102	15	diagnosis	diagnosis	NOUN
cana-2484	102	16	provided	provide	VERB
cana-2484	102	17	evidence	evidence	NOUN
cana-2484	102	18	that	that	SCONJ
cana-2484	102	19	these	these	DET
cana-2484	102	20	systems	system	NOUN
cana-2484	102	21	may	may	AUX
cana-2484	102	22	assist	assist	VERB
cana-2484	102	23	dnns	dnn	NOUN
cana-2484	102	24	,	,	PUNCT
cana-2484	102	25	to	to	PART
cana-2484	102	26	achieve	achieve	VERB
cana-2484	102	27	more	more	ADJ
cana-2484	102	28	robustness	robustness	NOUN
cana-2484	102	29	in	in	ADP
cana-2484	102	30	medical	medical	ADJ
cana-2484	102	31	image	image	NOUN
cana-2484	102	32	processing	process	VERB
cana-2484	102	33	source.fuzzy	source.fuzzy	ADJ
cana-2484	102	34	logic	logic	NOUN
cana-2484	102	35	has	have	AUX
cana-2484	102	36	been	be	AUX
cana-2484	102	37	often	often	ADV
cana-2484	102	38	combined	combine	VERB
cana-2484	102	39	with	with	ADP
cana-2484	102	40	image	image	NOUN
cana-2484	102	41	processing	processing	NOUN
cana-2484	102	42	algorithms	algorithm	NOUN
cana-2484	102	43	in	in	ADP
cana-2484	102	44	the	the	DET
cana-2484	102	45	context	context	NOUN
cana-2484	102	46	of	of	ADP
cana-2484	102	47	diabetic	diabetic	ADJ
cana-2484	102	48	retinopathy	retinopathy	NOUN
cana-2484	102	49	in	in	ADP
cana-2484	102	50	order	order	NOUN
cana-2484	102	51	to	to	PART
cana-2484	102	52	improve	improve	VERB
cana-2484	102	53	detection	detection	NOUN
cana-2484	102	54	tasks	task	NOUN
cana-2484	102	55	like	like	ADP
cana-2484	102	56	microaneurysms	microaneurysm	NOUN
cana-2484	102	57	.	.	PUNCT
cana-2484	103	1	for	for	ADP
cana-2484	103	2	example	example	NOUN
cana-2484	103	3	,	,	PUNCT
cana-2484	103	4	the	the	DET
cana-2484	103	5	application	application	NOUN
cana-2484	103	6	of	of	ADP
cana-2484	103	7	"	"	PUNCT
cana-2484	103	8	fuzzy	fuzzy	ADJ
cana-2484	103	9	clustering	clustering	NOUN
cana-2484	103	10	"	"	PUNCT
cana-2484	103	11	was	be	AUX
cana-2484	103	12	used	use	VERB
cana-2484	103	13	to	to	PART
cana-2484	103	14	design	design	VERB
cana-2484	103	15	a	a	DET
cana-2484	103	16	method	method	NOUN
cana-2484	103	17	that	that	PRON
cana-2484	103	18	identified	identify	VERB
cana-2484	103	19	more	more	ADJ
cana-2484	103	20	microaneurysms	microaneurysm	NOUN
cana-2484	103	21	in	in	ADP
cana-2484	103	22	fundus	fundus	NOUN
cana-2484	103	23	images	image	NOUN
cana-2484	103	24	leading	lead	VERB
cana-2484	103	25	to	to	ADP
cana-2484	103	26	a	a	DET
cana-2484	103	27	better	well	ADJ
cana-2484	103	28	prognosis	prognosis	NOUN
cana-2484	103	29	and	and	CCONJ
cana-2484	103	30	an	an	DET
cana-2484	103	31	effective	effective	ADJ
cana-2484	103	32	response	response	NOUN
cana-2484	103	33	to	to	ADP
cana-2484	103	34	treatment[16	treatment[16	NOUN
cana-2484	103	35	]	]	PUNCT
cana-2484	103	36	.	.	PUNCT
cana-2484	104	1	these	these	DET
cana-2484	104	2	methods	method	NOUN
cana-2484	104	3	demonstrate	demonstrate	VERB
cana-2484	104	4	the	the	DET
cana-2484	104	5	feasibility	feasibility	NOUN
cana-2484	104	6	of	of	ADP
cana-2484	104	7	combining	combine	VERB
cana-2484	104	8	fuzzy	fuzzy	ADJ
cana-2484	104	9	logic	logic	NOUN
cana-2484	104	10	with	with	ADP
cana-2484	104	11	classic	classic	ADJ
cana-2484	104	12	image	image	NOUN
cana-2484	104	13	processing	processing	NOUN
cana-2484	104	14	to	to	ADP
cana-2484	104	15	model	model	NOUN
cana-2484	104	16	ambiguities	ambiguity	NOUN
cana-2484	104	17	introduced	introduce	VERB
cana-2484	104	18	by	by	ADP
cana-2484	104	19	medical	medical	ADJ
cana-2484	104	20	imaging	imaging	NOUN
cana-2484	104	21	.	.	PUNCT
cana-2484	105	1	integration	integration	NOUN
cana-2484	105	2	methods	method	NOUN
cana-2484	105	3	:	:	PUNCT
cana-2484	105	4	deep	deep	ADJ
cana-2484	105	5	fuzzy	fuzzy	ADJ
cana-2484	105	6	learning	learning	NOUN
cana-2484	105	7	:	:	PUNCT
cana-2484	105	8	hybridizing	hybridize	VERB
cana-2484	105	9	solutions	solution	NOUN
cana-2484	105	10	that	that	PRON
cana-2484	105	11	enhance	enhance	VERB
cana-2484	105	12	the	the	DET
cana-2484	105	13	strengths	strength	NOUN
cana-2484	105	14	of	of	ADP
cana-2484	105	15	both	both	PRON
cana-2484	105	16	deep	deep	ADJ
cana-2484	105	17	learning	learning	NOUN
cana-2484	105	18	and	and	CCONJ
cana-2484	105	19	fuzzy	fuzzy	ADJ
cana-2484	105	20	logic	logic	NOUN
cana-2484	105	21	have	have	AUX
cana-2484	105	22	recorded	record	VERB
cana-2484	105	23	early	early	ADJ
cana-2484	105	24	success	success	NOUN
cana-2484	105	25	in	in	ADP
cana-2484	105	26	these	these	DET
cana-2484	105	27	two	two	NUM
cana-2484	105	28	best	well	ADV
cana-2484	105	29	severe	severe	ADJ
cana-2484	105	30	case[17	case[17	PROPN
cana-2484	105	31	]	]	PUNCT
cana-2484	105	32	.	.	PUNCT
cana-2484	106	1	such	such	ADJ
cana-2484	106	2	systems	system	NOUN
cana-2484	106	3	use	use	VERB
cana-2484	106	4	deep	deep	ADJ
cana-2484	106	5	learning	learning	NOUN
cana-2484	106	6	models	model	NOUN
cana-2484	106	7	like	like	ADP
cana-2484	106	8	cnns	cnn	NOUN
cana-2484	106	9	to	to	PART
cana-2484	106	10	transform	transform	VERB
cana-2484	106	11	medical	medical	ADJ
cana-2484	106	12	images	image	NOUN
cana-2484	106	13	into	into	ADP
cana-2484	106	14	input	input	NOUN
cana-2484	106	15	vectors	vector	NOUN
cana-2484	106	16	and	and	CCONJ
cana-2484	106	17	then	then	ADV
cana-2484	106	18	use	use	VERB
cana-2484	106	19	fuzzy	fuzzy	ADJ
cana-2484	106	20	logic	logic	NOUN
cana-2484	106	21	on	on	ADP
cana-2484	106	22	the	the	DET
cana-2484	106	23	output	output	NOUN
cana-2484	106	24	with	with	ADP
cana-2484	106	25	fuzzy	fuzzy	ADJ
cana-2484	106	26	sets	set	NOUN
cana-2484	106	27	to	to	ADP
cana-2484	106	28	communications	communication	NOUN
cana-2484	106	29	on	on	ADP
cana-2484	106	30	applied	apply	VERB
cana-2484	106	31	nonlinear	nonlinear	ADJ
cana-2484	106	32	analysis	analysis	NOUN
cana-2484	106	33	issn	issn	NOUN
cana-2484	106	34	:	:	PUNCT
cana-2484	106	35	1074	1074	NUM
cana-2484	106	36	-	-	PUNCT
cana-2484	106	37	133x	133x	NUM
cana-2484	106	38	vol	vol	NOUN
cana-2484	106	39	32	32	NUM
cana-2484	106	40	no	no	NOUN
cana-2484	106	41	.	.	PUNCT
cana-2484	107	1	2s	2s	NUM
cana-2484	107	2	(	(	PUNCT
cana-2484	107	3	2025	2025	NUM
cana-2484	107	4	)	)	PUNCT
cana-2484	107	5	498	498	NUM
cana-2484	107	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2484	107	7	introduce	introduce	VERB
cana-2484	107	8	some	some	DET
cana-2484	107	9	uncertainty	uncertainty	NOUN
cana-2484	107	10	or	or	CCONJ
cana-2484	107	11	confidence	confidence	NOUN
cana-2484	107	12	of	of	ADP
cana-2484	107	13	the	the	DET
cana-2484	107	14	diagnosis	diagnosis	NOUN
cana-2484	107	15	.	.	PUNCT
cana-2484	108	1	the	the	DET
cana-2484	108	2	use	use	NOUN
cana-2484	108	3	of	of	ADP
cana-2484	108	4	those	those	DET
cana-2484	108	5	two	two	NUM
cana-2484	108	6	together	together	ADV
cana-2484	108	7	gives	give	VERB
cana-2484	108	8	each	each	DET
cana-2484	108	9	a	a	DET
cana-2484	108	10	more	more	ADV
cana-2484	108	11	readable	readable	ADJ
cana-2484	108	12	answer	answer	NOUN
cana-2484	108	13	and	and	CCONJ
cana-2484	108	14	,	,	PUNCT
cana-2484	108	15	additionally	additionally	ADV
cana-2484	108	16	,	,	PUNCT
cana-2484	108	17	a	a	DET
cana-2484	108	18	combination	combination	NOUN
cana-2484	108	19	of	of	ADP
cana-2484	108	20	this	this	DET
cana-2484	108	21	pair	pair	NOUN
cana-2484	108	22	results	result	VERB
cana-2484	108	23	in	in	ADP
cana-2484	108	24	the	the	DET
cana-2484	108	25	highest	high	ADJ
cana-2484	108	26	accuracy	accuracy	NOUN
cana-2484	108	27	even	even	ADV
cana-2484	108	28	in	in	ADP
cana-2484	108	29	borderline	borderline	NOUN
cana-2484	108	30	cases	case	NOUN
cana-2484	108	31	when	when	SCONJ
cana-2484	108	32	there	there	PRON
cana-2484	108	33	is	be	VERB
cana-2484	108	34	not	not	PART
cana-2484	108	35	yet	yet	ADV
cana-2484	108	36	so	so	ADV
cana-2484	108	37	much	much	ADJ
cana-2484	108	38	pathology	pathology	NOUN
cana-2484	108	39	.	.	PUNCT
cana-2484	109	1	the	the	DET
cana-2484	109	2	model	model	NOUN
cana-2484	109	3	has	have	AUX
cana-2484	109	4	been	be	AUX
cana-2484	109	5	compared	compare	VERB
cana-2484	109	6	with	with	ADP
cana-2484	109	7	diabetic	diabetic	ADJ
cana-2484	109	8	retinopathy	retinopathy	ADJ
cana-2484	109	9	detection	detection	NOUN
cana-2484	109	10	,	,	PUNCT
cana-2484	109	11	using	use	VERB
cana-2484	109	12	a	a	DET
cana-2484	109	13	hybrid	hybrid	NOUN
cana-2484	109	14	of	of	ADP
cana-2484	109	15	deep	deep	ADJ
cana-2484	109	16	learning	learning	NOUN
cana-2484	109	17	and	and	CCONJ
cana-2484	109	18	fuzzy	fuzzy	ADJ
cana-2484	109	19	logic	logic	NOUN
cana-2484	109	20	model	model	NOUN
cana-2484	109	21	.	.	PUNCT
cana-2484	110	1	it	it	PRON
cana-2484	110	2	used	use	VERB
cana-2484	110	3	a	a	DET
cana-2484	110	4	cnn	cnn	NOUN
cana-2484	110	5	to	to	PART
cana-2484	110	6	analyse	analyse	VERB
cana-2484	110	7	retinal	retinal	ADJ
cana-2484	110	8	fundus	fundus	NOUN
cana-2484	110	9	images	image	NOUN
cana-2484	110	10	and	and	CCONJ
cana-2484	110	11	a	a	DET
cana-2484	110	12	fuzzy	fuzzy	ADJ
cana-2484	110	13	inference	inference	NOUN
cana-2484	110	14	system	system	NOUN
cana-2484	110	15	(	(	PUNCT
cana-2484	110	16	fis	fis	PROPN
cana-2484	110	17	)	)	PUNCT
cana-2484	110	18	to	to	PART
cana-2484	110	19	give	give	VERB
cana-2484	110	20	an	an	DET
cana-2484	110	21	ordered	order	VERB
cana-2484	110	22	diagnosis	diagnosis	NOUN
cana-2484	110	23	based	base	VERB
cana-2484	110	24	on	on	ADP
cana-2484	110	25	the	the	DET
cana-2484	110	26	detected	detect	VERB
cana-2484	110	27	abnormalities	abnormality	NOUN
cana-2484	110	28	.	.	PUNCT
cana-2484	111	1	the	the	DET
cana-2484	111	2	hybrid	hybrid	ADJ
cana-2484	111	3	method	method	NOUN
cana-2484	111	4	performed	perform	VERB
cana-2484	111	5	better	well	ADV
cana-2484	111	6	than	than	ADP
cana-2484	111	7	the	the	DET
cana-2484	111	8	conventional	conventional	ADJ
cana-2484	111	9	deep	deep	ADJ
cana-2484	111	10	learning	learning	NOUN
cana-2484	111	11	models	model	NOUN
cana-2484	111	12	in	in	ADP
cana-2484	111	13	overall	overall	ADJ
cana-2484	111	14	diagnostic	diagnostic	ADJ
cana-2484	111	15	accuracy	accuracy	NOUN
cana-2484	111	16	,	,	PUNCT
cana-2484	111	17	especially	especially	ADV
cana-2484	111	18	for	for	ADP
cana-2484	111	19	difficult	difficult	ADJ
cana-2484	111	20	cases	case	NOUN
cana-2484	111	21	that	that	PRON
cana-2484	111	22	required	require	VERB
cana-2484	111	23	attention	attention	NOUN
cana-2484	111	24	to	to	ADP
cana-2484	111	25	a	a	DET
cana-2484	111	26	subtle	subtle	ADJ
cana-2484	111	27	feature[18	feature[18	NOUN
cana-2484	111	28	]	]	PUNCT
cana-2484	111	29	.	.	PUNCT
cana-2484	112	1	challenges	challenge	NOUN
cana-2484	112	2	and	and	CCONJ
cana-2484	112	3	future	future	ADJ
cana-2484	112	4	perspective	perspective	NOUN
cana-2484	112	5	:	:	PUNCT
cana-2484	112	6	although	although	SCONJ
cana-2484	112	7	a	a	DET
cana-2484	112	8	lot	lot	NOUN
cana-2484	112	9	of	of	ADP
cana-2484	112	10	progress	progress	NOUN
cana-2484	112	11	has	have	AUX
cana-2484	112	12	been	be	AUX
cana-2484	112	13	made	make	VERB
cana-2484	112	14	in	in	ADP
cana-2484	112	15	diagnosing	diagnose	VERB
cana-2484	112	16	glaucoma	glaucoma	NOUN
cana-2484	112	17	and	and	CCONJ
cana-2484	112	18	diabetic	diabetic	ADJ
cana-2484	112	19	retinopathy	retinopathy	NOUN
cana-2484	112	20	using	use	VERB
cana-2484	112	21	deep	deep	ADJ
cana-2484	112	22	learning	learning	NOUN
cana-2484	112	23	and	and	CCONJ
cana-2484	112	24	fuzzy	fuzzy	ADJ
cana-2484	112	25	logic	logic	NOUN
cana-2484	112	26	,	,	PUNCT
cana-2484	112	27	there	there	PRON
cana-2484	112	28	are	be	VERB
cana-2484	112	29	still	still	ADV
cana-2484	112	30	some	some	DET
cana-2484	112	31	major	major	ADJ
cana-2484	112	32	challenges	challenge	NOUN
cana-2484	112	33	.	.	PUNCT
cana-2484	113	1	training	train	VERB
cana-2484	113	2	such	such	ADJ
cana-2484	113	3	models	model	NOUN
cana-2484	113	4	appropriately	appropriately	ADV
cana-2484	113	5	relies	rely	VERB
cana-2484	113	6	on	on	ADP
cana-2484	113	7	having	have	VERB
cana-2484	113	8	very	very	ADV
cana-2484	113	9	large	large	ADJ
cana-2484	113	10	,	,	PUNCT
cana-2484	113	11	well	well	ADV
cana-2484	113	12	-	-	PUNCT
cana-2484	113	13	labeled	label	VERB
cana-2484	113	14	data	data	NOUN
cana-2484	113	15	sets	set	NOUN
cana-2484	113	16	that	that	PRON
cana-2484	113	17	act	act	VERB
cana-2484	113	18	as	as	ADP
cana-2484	113	19	a	a	DET
cana-2484	113	20	good	good	ADJ
cana-2484	113	21	representation	representation	NOUN
cana-2484	113	22	of	of	ADP
cana-2484	113	23	the	the	DET
cana-2484	113	24	categories	category	NOUN
cana-2484	113	25	.	.	PUNCT
cana-2484	114	1	also	also	ADV
cana-2484	114	2	,	,	PUNCT
cana-2484	114	3	it	it	PRON
cana-2484	114	4	is	be	AUX
cana-2484	114	5	a	a	DET
cana-2484	114	6	computational	computational	ADJ
cana-2484	114	7	complex	complex	ADJ
cana-2484	114	8	deep	deep	ADJ
cana-2484	114	9	learning	learning	NOUN
cana-2484	114	10	model	model	NOUN
cana-2484	114	11	both	both	CCONJ
cana-2484	114	12	with	with	ADP
cana-2484	114	13	fuzzy	fuzzy	ADJ
cana-2484	114	14	logic	logic	NOUN
cana-2484	114	15	which	which	PRON
cana-2484	114	16	is	be	AUX
cana-2484	114	17	challenging	challenge	VERB
cana-2484	114	18	in	in	ADP
cana-2484	114	19	resources	resource	NOUN
cana-2484	114	20	limiting	limit	VERB
cana-2484	114	21	environment	environment	NOUN
cana-2484	114	22	.	.	PUNCT
cana-2484	115	1	the	the	DET
cana-2484	115	2	further	further	ADJ
cana-2484	115	3	complexity	complexity	NOUN
cana-2484	115	4	is	be	AUX
cana-2484	115	5	due	due	ADJ
cana-2484	115	6	it	it	PRON
cana-2484	115	7	want	want	VERB
cana-2484	115	8	to	to	PART
cana-2484	115	9	process	process	VERB
cana-2484	115	10	in	in	ADP
cana-2484	115	11	term	term	NOUN
cana-2484	115	12	of	of	ADP
cana-2484	115	13	real	real	ADJ
cana-2484	115	14	time	time	NOUN
cana-2484	115	15	nature	nature	NOUN
cana-2484	115	16	for	for	ADP
cana-2484	115	17	teleophthalmology	teleophthalmology	NOUN
cana-2484	115	18	like	like	ADP
cana-2484	115	19	environment	environment	NOUN
cana-2484	115	20	where	where	SCONJ
cana-2484	115	21	instantly	instantly	ADV
cana-2484	115	22	diagnostic	diagnostic	ADJ
cana-2484	115	23	feedback	feedback	NOUN
cana-2484	115	24	is	be	AUX
cana-2484	115	25	required[19	required[19	NOUN
cana-2484	115	26	-	-	SYM
cana-2484	115	27	24	24	NUM
cana-2484	115	28	]	]	PUNCT
cana-2484	115	29	.	.	PUNCT
cana-2484	116	1	there	there	PRON
cana-2484	116	2	has	have	AUX
cana-2484	116	3	since	since	ADV
cana-2484	116	4	been	be	AUX
cana-2484	116	5	progress	progress	NOUN
cana-2484	116	6	with	with	ADP
cana-2484	116	7	hardware	hardware	NOUN
cana-2484	116	8	acceleration	acceleration	NOUN
cana-2484	116	9	(	(	PUNCT
cana-2484	116	10	gpus	gpu	NOUN
cana-2484	116	11	,	,	PUNCT
cana-2484	116	12	tpus	tpus	PROPN
cana-2484	116	13	)	)	PUNCT
cana-2484	116	14	starting	start	VERB
cana-2484	116	15	to	to	PART
cana-2484	116	16	be	be	AUX
cana-2484	116	17	used	use	VERB
cana-2484	116	18	more	more	ADV
cana-2484	116	19	broadly	broadly	ADV
cana-2484	116	20	on	on	ADP
cana-2484	116	21	many	many	ADJ
cana-2484	116	22	areas	area	NOUN
cana-2484	116	23	of	of	ADP
cana-2484	116	24	chi	chi	ADJ
cana-2484	116	25	research	research	NOUN
cana-2484	116	26	but	but	CCONJ
cana-2484	116	27	there	there	PRON
cana-2484	116	28	is	be	VERB
cana-2484	116	29	still	still	ADV
cana-2484	116	30	a	a	DET
cana-2484	116	31	need	need	NOUN
cana-2484	116	32	to	to	PART
cana-2484	116	33	ensure	ensure	VERB
cana-2484	116	34	that	that	SCONJ
cana-2484	116	35	these	these	DET
cana-2484	116	36	systems	system	NOUN
cana-2484	116	37	are	be	AUX
cana-2484	116	38	usable	usable	ADJ
cana-2484	116	39	in	in	ADP
cana-2484	116	40	low	low	ADJ
cana-2484	116	41	-	-	PUNCT
cana-2484	116	42	resource	resource	NOUN
cana-2484	116	43	settings	setting	NOUN
cana-2484	116	44	widely.the	widely.the	DET
cana-2484	116	45	integration	integration	NOUN
cana-2484	116	46	of	of	ADP
cana-2484	116	47	ai	ai	PRON
cana-2484	116	48	based	base	VERB
cana-2484	116	49	systems	system	NOUN
cana-2484	116	50	into	into	ADP
cana-2484	116	51	clinical	clinical	ADJ
cana-2484	116	52	workflows	workflow	NOUN
cana-2484	116	53	,	,	PUNCT
cana-2484	116	54	however	however	ADV
cana-2484	116	55	,	,	PUNCT
cana-2484	116	56	raises	raise	VERB
cana-2484	116	57	technical	technical	ADJ
cana-2484	116	58	as	as	ADV
cana-2484	116	59	well	well	ADV
cana-2484	116	60	as	as	ADP
cana-2484	116	61	ethical	ethical	ADJ
cana-2484	116	62	challenges	challenge	NOUN
cana-2484	116	63	.	.	PUNCT
cana-2484	117	1	one	one	NUM
cana-2484	117	2	of	of	ADP
cana-2484	117	3	the	the	DET
cana-2484	117	4	most	most	ADV
cana-2484	117	5	important	important	ADJ
cana-2484	117	6	aspects	aspect	NOUN
cana-2484	117	7	for	for	ADP
cana-2484	117	8	decision	decision	NOUN
cana-2484	117	9	support	support	NOUN
cana-2484	117	10	systems	system	NOUN
cana-2484	117	11	is	be	AUX
cana-2484	117	12	that	that	SCONJ
cana-2484	117	13	they	they	PRON
cana-2484	117	14	are	be	AUX
cana-2484	117	15	not	not	PART
cana-2484	117	16	only	only	ADV
cana-2484	117	17	transparent	transparent	ADJ
cana-2484	117	18	,	,	PUNCT
cana-2484	117	19	interpretable	interpretable	ADJ
cana-2484	117	20	and	and	CCONJ
cana-2484	117	21	unbiased	unbiased	ADJ
cana-2484	117	22	but	but	CCONJ
cana-2484	117	23	also	also	ADV
cana-2484	117	24	have	have	VERB
cana-2484	117	25	to	to	PART
cana-2484	117	26	prove	prove	VERB
cana-2484	117	27	their	their	PRON
cana-2484	117	28	reliability	reliability	NOUN
cana-2484	117	29	in	in	ADP
cana-2484	117	30	clinical	clinical	ADJ
cana-2484	117	31	practice	practice	NOUN
cana-2484	117	32	.	.	PUNCT
cana-2484	118	1	as	as	SCONJ
cana-2484	118	2	ai	ai	NOUN
cana-2484	118	3	is	be	VERB
cana-2484	118	4	becoming	become	VERB
cana-2484	118	5	more	more	ADV
cana-2484	118	6	advanced	advanced	ADJ
cana-2484	118	7	,	,	PUNCT
cana-2484	118	8	the	the	DET
cana-2484	118	9	quest	quest	NOUN
cana-2484	118	10	for	for	ADP
cana-2484	118	11	improvement	improvement	NOUN
cana-2484	118	12	in	in	ADP
cana-2484	118	13	terms	term	NOUN
cana-2484	118	14	of	of	ADP
cana-2484	118	15	addressing	address	VERB
cana-2484	118	16	these	these	DET
cana-2484	118	17	challenges	challenge	NOUN
cana-2484	118	18	and	and	CCONJ
cana-2484	118	19	perhaps	perhaps	ADV
cana-2484	118	20	a	a	DET
cana-2484	118	21	deeper	deep	ADJ
cana-2484	118	22	merger	merger	NOUN
cana-2484	118	23	between	between	ADP
cana-2484	118	24	deep	deep	ADJ
cana-2484	118	25	learning	learning	NOUN
cana-2484	118	26	and	and	CCONJ
cana-2484	118	27	fuzzy	fuzzy	ADJ
cana-2484	118	28	logic	logic	NOUN
cana-2484	118	29	should	should	AUX
cana-2484	118	30	be	be	AUX
cana-2484	118	31	detailed	detail	VERB
cana-2484	118	32	in	in	ADP
cana-2484	118	33	future	future	ADJ
cana-2484	118	34	studies	study	NOUN
cana-2484	118	35	to	to	PART
cana-2484	118	36	exhibit	exhibit	VERB
cana-2484	118	37	better	well	ADJ
cana-2484	118	38	disease	disease	NOUN
cana-2484	118	39	detection	detection	NOUN
cana-2484	118	40	accuracy	accuracy	NOUN
cana-2484	118	41	and	and	CCONJ
cana-2484	118	42	availability	availability	NOUN
cana-2484	118	43	.	.	PUNCT
cana-2484	119	1	3	3	X
cana-2484	119	2	.	.	X
cana-2484	119	3	methodology	methodology	NOUN
cana-2484	119	4	:	:	PUNCT
cana-2484	119	5	●	●	NUM
cana-2484	119	6	model	model	NOUN
cana-2484	119	7	evaluation	evaluation	NOUN
cana-2484	119	8	pre	pre	ADJ
cana-2484	119	9	-	-	ADJ
cana-2484	119	10	processing	processing	NOUN
cana-2484	119	11	and	and	CCONJ
cana-2484	119	12	enhancement	enhancement	NOUN
cana-2484	119	13	:	:	PUNCT
cana-2484	119	14	performing	perform	VERB
cana-2484	119	15	additional	additional	ADJ
cana-2484	119	16	advanced	advanced	ADJ
cana-2484	119	17	pre	pre	ADJ
cana-2484	119	18	-	-	ADJ
cana-2484	119	19	processing	processing	ADJ
cana-2484	119	20	steps	step	NOUN
cana-2484	119	21	prior	prior	ADV
cana-2484	119	22	to	to	ADP
cana-2484	119	23	feeding	feed	VERB
cana-2484	119	24	retinal	retinal	ADJ
cana-2484	119	25	images	image	NOUN
cana-2484	119	26	into	into	ADP
cana-2484	119	27	the	the	DET
cana-2484	119	28	cnn	cnn	PROPN
cana-2484	119	29	would	would	AUX
cana-2484	119	30	result	result	VERB
cana-2484	119	31	in	in	ADP
cana-2484	119	32	better	well	ADJ
cana-2484	119	33	quality	quality	NOUN
cana-2484	119	34	and	and	CCONJ
cana-2484	119	35	more	more	ADV
cana-2484	119	36	interpretable	interpretable	ADJ
cana-2484	119	37	images	image	NOUN
cana-2484	119	38	,	,	PUNCT
cana-2484	119	39	which	which	PRON
cana-2484	119	40	is	be	AUX
cana-2484	119	41	critical	critical	ADJ
cana-2484	119	42	for	for	ADP
cana-2484	119	43	improving	improve	VERB
cana-2484	119	44	model	model	NOUN
cana-2484	119	45	accuracy	accuracy	NOUN
cana-2484	119	46	.	.	PUNCT
cana-2484	120	1	image	image	NOUN
cana-2484	120	2	contrast	contrast	NOUN
cana-2484	120	3	enhancement	enhancement	NOUN
cana-2484	120	4	:	:	PUNCT
cana-2484	120	5	it	it	PRON
cana-2484	120	6	is	be	AUX
cana-2484	120	7	common	common	ADJ
cana-2484	120	8	that	that	SCONJ
cana-2484	120	9	retinal	retinal	ADJ
cana-2484	120	10	images	image	NOUN
cana-2484	120	11	exhibit	exhibit	VERB
cana-2484	120	12	low	low	ADJ
cana-2484	120	13	-	-	PUNCT
cana-2484	120	14	contrast	contrast	NOUN
cana-2484	120	15	owing	owe	VERB
cana-2484	120	16	to	to	ADP
cana-2484	120	17	lighting	lighting	NOUN
cana-2484	120	18	environment	environment	NOUN
cana-2484	120	19	or	or	CCONJ
cana-2484	120	20	inherent	inherent	ADJ
cana-2484	120	21	structures	structure	NOUN
cana-2484	120	22	of	of	ADP
cana-2484	120	23	the	the	DET
cana-2484	120	24	eye	eye	NOUN
cana-2484	120	25	itself	itself	PRON
cana-2484	120	26	.	.	PUNCT
cana-2484	121	1	histogram	histogram	NOUN
cana-2484	121	2	equalization	equalization	NOUN
cana-2484	121	3	or	or	CCONJ
cana-2484	121	4	adaptive	adaptive	ADJ
cana-2484	121	5	histogram	histogram	NOUN
cana-2484	121	6	equalization	equalization	NOUN
cana-2484	121	7	(	(	PUNCT
cana-2484	121	8	clahe	clahe	PROPN
cana-2484	121	9	)	)	PUNCT
cana-2484	121	10	for	for	ADP
cana-2484	121	11	preliminary	preliminary	ADJ
cana-2484	121	12	contrast	contrast	NOUN
cana-2484	121	13	improvement	improvement	NOUN
cana-2484	121	14	of	of	ADP
cana-2484	121	15	the	the	DET
cana-2484	121	16	image	image	NOUN
cana-2484	121	17	.	.	PUNCT
cana-2484	122	1	rationale	rationale	NOUN
cana-2484	122	2	:	:	PUNCT
cana-2484	122	3	binned	bin	VERB
cana-2484	122	4	histogram	histogram	PROPN
cana-2484	122	5	equalization	equalization	NOUN
cana-2484	122	6	spreads	spread	VERB
cana-2484	122	7	the	the	DET
cana-2484	122	8	intensity	intensity	NOUN
cana-2484	122	9	values	value	NOUN
cana-2484	122	10	of	of	ADP
cana-2484	122	11	an	an	DET
cana-2484	122	12	image	image	NOUN
cana-2484	122	13	into	into	ADP
cana-2484	122	14	all	all	DET
cana-2484	122	15	pixel	pixel	PROPN
cana-2484	122	16	intensity	intensity	NOUN
cana-2484	122	17	levels	level	NOUN
cana-2484	122	18	,	,	PUNCT
cana-2484	122	19	improving	improve	VERB
cana-2484	122	20	contrast	contrast	NOUN
cana-2484	122	21	.	.	PUNCT
cana-2484	123	1	a	a	DET
cana-2484	123	2	variant	variant	NOUN
cana-2484	123	3	known	know	VERB
cana-2484	123	4	as	as	ADP
cana-2484	123	5	clahe	clahe	PROPN
cana-2484	123	6	uses	use	VERB
cana-2484	123	7	histogram	histogram	NOUN
cana-2484	123	8	equalisation	equalisation	NOUN
cana-2484	123	9	in	in	ADP
cana-2484	123	10	regions	region	NOUN
cana-2484	123	11	instead	instead	ADV
cana-2484	123	12	to	to	PART
cana-2484	123	13	prevent	prevent	VERB
cana-2484	123	14	noise	noise	NOUN
cana-2484	123	15	amplification	amplification	NOUN
cana-2484	123	16	.	.	PUNCT
cana-2484	124	1	noise	noise	NOUN
cana-2484	124	2	reduction	reduction	NOUN
cana-2484	124	3	:	:	PUNCT
cana-2484	124	4	in	in	ADP
cana-2484	124	5	medical	medical	ADJ
cana-2484	124	6	imaging	imaging	NOUN
cana-2484	124	7	,	,	PUNCT
cana-2484	124	8	due	due	ADP
cana-2484	124	9	to	to	ADP
cana-2484	124	10	noise	noise	NOUN
cana-2484	124	11	(	(	PUNCT
cana-2484	124	12	e.g.	e.g.	ADV
cana-2484	124	13	,	,	PUNCT
cana-2484	124	14	speckle	speckle	NOUN
cana-2484	124	15	noise	noise	NOUN
cana-2484	124	16	in	in	ADP
cana-2484	124	17	oct	oct	PROPN
cana-2484	124	18	images	image	NOUN
cana-2484	124	19	)	)	PUNCT
cana-2484	124	20	,	,	PUNCT
cana-2484	124	21	an	an	DET
cana-2484	124	22	original	original	ADJ
cana-2484	124	23	image	image	NOUN
cana-2484	124	24	that	that	PRON
cana-2484	124	25	usually	usually	ADV
cana-2484	124	26	used	use	VERB
cana-2484	124	27	for	for	ADP
cana-2484	124	28	the	the	DET
cana-2484	124	29	feature	feature	NOUN
cana-2484	124	30	extraction	extraction	NOUN
cana-2484	124	31	carries	carry	VERB
cana-2484	124	32	different	different	ADJ
cana-2484	124	33	information	information	NOUN
cana-2484	124	34	.	.	PUNCT
cana-2484	125	1	approaches	approach	NOUN
cana-2484	125	2	:	:	PUNCT
cana-2484	125	3	use	use	VERB
cana-2484	125	4	gaussian	gaussian	ADJ
cana-2484	125	5	filters	filter	NOUN
cana-2484	125	6	or	or	CCONJ
cana-2484	125	7	median	median	ADJ
cana-2484	125	8	filtering	filtering	NOUN
cana-2484	125	9	to	to	PART
cana-2484	125	10	maintain	maintain	VERB
cana-2484	125	11	the	the	DET
cana-2484	125	12	necessary	necessary	ADJ
cana-2484	125	13	important	important	ADJ
cana-2484	125	14	structures	structure	NOUN
cana-2484	125	15	in	in	ADP
cana-2484	125	16	the	the	DET
cana-2484	125	17	image	image	NOUN
cana-2484	125	18	such	such	ADJ
cana-2484	125	19	as	as	ADP
cana-2484	125	20	blood	blood	NOUN
cana-2484	125	21	vessels	vessel	NOUN
cana-2484	125	22	and	and	CCONJ
cana-2484	125	23	micro	micro	PROPN
cana-2484	125	24	neuro	neuro	PROPN
cana-2484	125	25	systems	systems	PROPN
cana-2484	125	26	.	.	PUNCT
cana-2484	126	1	background	background	NOUN
cana-2484	126	2	:	:	PUNCT
cana-2484	126	3	gaussian	gaussian	ADJ
cana-2484	126	4	filtering	filtering	NOUN
cana-2484	126	5	is	be	AUX
cana-2484	126	6	used	use	VERB
cana-2484	126	7	to	to	PART
cana-2484	126	8	smooth	smooth	VERB
cana-2484	126	9	an	an	DET
cana-2484	126	10	image	image	NOUN
cana-2484	126	11	by	by	ADP
cana-2484	126	12	comvolute	comvolute	NOUN
cana-2484	126	13	the	the	DET
cana-2484	126	14	gaussian	gaussian	ADJ
cana-2484	126	15	kernel	kernel	NOUN
cana-2484	126	16	and	and	CCONJ
cana-2484	126	17	it	it	PRON
cana-2484	126	18	helps	help	VERB
cana-2484	126	19	in	in	ADP
cana-2484	126	20	reduction	reduction	NOUN
cana-2484	126	21	of	of	ADP
cana-2484	126	22	high	high	ADJ
cana-2484	126	23	frequency	frequency	NOUN
cana-2484	126	24	noise	noise	NOUN
cana-2484	126	25	.	.	PUNCT
cana-2484	127	1	median	median	ADJ
cana-2484	127	2	filtering	filtering	NOUN
cana-2484	127	3	means	mean	VERB
cana-2484	127	4	that	that	SCONJ
cana-2484	127	5	the	the	DET
cana-2484	127	6	pixel	pixel	PROPN
cana-2484	127	7	value	value	NOUN
cana-2484	127	8	being	be	AUX
cana-2484	127	9	replaced	replace	VERB
cana-2484	127	10	,	,	PUNCT
cana-2484	127	11	is	be	AUX
cana-2484	127	12	replaced	replace	VERB
cana-2484	127	13	by	by	ADP
cana-2484	127	14	the	the	DET
cana-2484	127	15	median	median	NOUN
cana-2484	127	16	of	of	ADP
cana-2484	127	17	all	all	DET
cana-2484	127	18	square	square	ADJ
cana-2484	127	19	values	value	NOUN
cana-2484	127	20	in	in	ADP
cana-2484	127	21	its	its	PRON
cana-2484	127	22	neighbourhood	neighbourhood	NOUN
cana-2484	127	23	.	.	PUNCT
cana-2484	128	1	this	this	DET
cana-2484	128	2	process	process	NOUN
cana-2484	128	3	does	do	VERB
cana-2484	128	4	well	well	ADV
cana-2484	128	5	at	at	ADP
cana-2484	128	6	preserving	preserve	VERB
cana-2484	128	7	edges	edge	NOUN
cana-2484	128	8	.	.	PUNCT
cana-2484	129	1	communications	communication	NOUN
cana-2484	129	2	on	on	ADP
cana-2484	129	3	applied	apply	VERB
cana-2484	129	4	nonlinear	nonlinear	ADJ
cana-2484	129	5	analysis	analysis	NOUN
cana-2484	129	6	issn	issn	NOUN
cana-2484	129	7	:	:	PUNCT
cana-2484	129	8	1074	1074	NUM
cana-2484	129	9	-	-	PUNCT
cana-2484	129	10	133x	133x	NUM
cana-2484	129	11	vol	vol	NOUN
cana-2484	129	12	32	32	NUM
cana-2484	129	13	no	no	NOUN
cana-2484	129	14	.	.	PUNCT
cana-2484	130	1	2s	2s	NUM
cana-2484	130	2	(	(	PUNCT
cana-2484	130	3	2025	2025	NUM
cana-2484	130	4	)	)	PUNCT
cana-2484	130	5	499	499	NUM
cana-2484	130	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2484	130	7	blood	blood	NOUN
cana-2484	130	8	vessel	vessel	NOUN
cana-2484	130	9	segmentation	segmentation	NOUN
cana-2484	130	10	:	:	PUNCT
cana-2484	130	11	the	the	DET
cana-2484	130	12	extraction	extraction	NOUN
cana-2484	130	13	of	of	ADP
cana-2484	130	14	blood	blood	NOUN
cana-2484	130	15	vessel	vessel	NOUN
cana-2484	130	16	structures	structure	NOUN
cana-2484	130	17	from	from	ADP
cana-2484	130	18	retinal	retinal	ADJ
cana-2484	130	19	images	image	NOUN
cana-2484	130	20	is	be	AUX
cana-2484	130	21	a	a	DET
cana-2484	130	22	humaninterpretable	humaninterpretable	ADJ
cana-2484	130	23	feature	feature	NOUN
cana-2484	130	24	,	,	PUNCT
cana-2484	130	25	that	that	PRON
cana-2484	130	26	could	could	AUX
cana-2484	130	27	help	help	AUX
cana-2484	130	28	identify	identify	VERB
cana-2484	130	29	diseases	disease	NOUN
cana-2484	130	30	(	(	PUNCT
cana-2484	130	31	such	such	ADJ
cana-2484	130	32	as	as	ADP
cana-2484	130	33	glaucoma	glaucoma	NOUN
cana-2484	130	34	or	or	CCONJ
cana-2484	130	35	diabetic	diabetic	ADJ
cana-2484	130	36	retinopathy	retinopathy	NOUN
cana-2484	130	37	)	)	PUNCT
cana-2484	130	38	using	use	VERB
cana-2484	130	39	automated	automate	VERB
cana-2484	130	40	methods	method	NOUN
cana-2484	130	41	.	.	PUNCT
cana-2484	131	1	background	background	NOUN
cana-2484	131	2	information	information	NOUN
cana-2484	131	3	:	:	PUNCT
cana-2484	131	4	gabor	gabor	PROPN
cana-2484	131	5	filters	filter	NOUN
cana-2484	131	6	are	be	AUX
cana-2484	131	7	linear	linear	ADJ
cana-2484	131	8	filters	filter	NOUN
cana-2484	131	9	for	for	ADP
cana-2484	131	10	edge	edge	NOUN
cana-2484	131	11	detection	detection	NOUN
cana-2484	131	12	,	,	PUNCT
cana-2484	131	13	which	which	PRON
cana-2484	131	14	can	can	AUX
cana-2484	131	15	be	be	AUX
cana-2484	131	16	oriented	orient	VERB
cana-2484	131	17	and	and	CCONJ
cana-2484	131	18	tuned	tune	VERB
cana-2484	131	19	to	to	ADP
cana-2484	131	20	the	the	DET
cana-2484	131	21	orientation	orientation	NOUN
cana-2484	131	22	or	or	CCONJ
cana-2484	131	23	width	width	NOUN
cana-2484	131	24	of	of	ADP
cana-2484	131	25	vessels	vessel	NOUN
cana-2484	131	26	,	,	PUNCT
cana-2484	131	27	in	in	ADP
cana-2484	131	28	a	a	DET
cana-2484	131	29	detailed	detailed	ADJ
cana-2484	131	30	vascular	vascular	ADJ
cana-2484	131	31	map	map	NOUN
cana-2484	131	32	.	.	PUNCT
cana-2484	132	1	retinal	retinal	ADJ
cana-2484	132	2	images	image	NOUN
cana-2484	132	3	feature	feature	NOUN
cana-2484	132	4	engineering	engineering	NOUN
cana-2484	132	5	:	:	PUNCT
cana-2484	132	6	although	although	SCONJ
cana-2484	132	7	deep	deep	ADJ
cana-2484	132	8	learning	learning	NOUN
cana-2484	132	9	models	model	NOUN
cana-2484	132	10	like	like	ADP
cana-2484	132	11	cnns	cnn	NOUN
cana-2484	132	12	can	can	AUX
cana-2484	132	13	learn	learn	VERB
cana-2484	132	14	features	feature	NOUN
cana-2484	132	15	automatically	automatically	ADV
cana-2484	132	16	,	,	PUNCT
cana-2484	132	17	incorporating	incorporate	VERB
cana-2484	132	18	the	the	DET
cana-2484	132	19	handcrafted	handcrafted	ADJ
cana-2484	132	20	features	feature	NOUN
cana-2484	132	21	could	could	AUX
cana-2484	132	22	be	be	AUX
cana-2484	132	23	beneficial	beneficial	ADJ
cana-2484	132	24	for	for	ADP
cana-2484	132	25	the	the	DET
cana-2484	132	26	models	model	NOUN
cana-2484	132	27	to	to	PART
cana-2484	132	28	perform	perform	VERB
cana-2484	132	29	well	well	ADV
cana-2484	132	30	,	,	PUNCT
cana-2484	132	31	particularly	particularly	ADV
cana-2484	132	32	in	in	ADP
cana-2484	132	33	medical	medical	ADJ
cana-2484	132	34	image	image	NOUN
cana-2484	132	35	analysis	analysis	NOUN
cana-2484	132	36	.	.	PUNCT
cana-2484	133	1	optic	optic	ADJ
cana-2484	133	2	nerve	nerve	NOUN
cana-2484	133	3	head	head	NOUN
cana-2484	133	4	segmentation	segmentation	NOUN
cana-2484	133	5	:	:	PUNCT
cana-2484	133	6	disc	disc	NOUN
cana-2484	133	7	cup	cup	NOUN
cana-2484	133	8	segmentation	segmentation	NOUN
cana-2484	133	9	:	:	PUNCT
cana-2484	133	10	for	for	ADP
cana-2484	133	11	automated	automate	VERB
cana-2484	133	12	glaucoma	glaucoma	NOUN
cana-2484	133	13	detection	detection	NOUN
cana-2484	133	14	,	,	PUNCT
cana-2484	133	15	the	the	DET
cana-2484	133	16	segmentation	segmentation	NOUN
cana-2484	133	17	of	of	ADP
cana-2484	133	18	the	the	DET
cana-2484	133	19	optic	optic	NOUN
cana-2484	133	20	disc	disc	NOUN
cana-2484	133	21	and	and	CCONJ
cana-2484	133	22	the	the	DET
cana-2484	133	23	optic	optic	ADJ
cana-2484	133	24	cup	cup	NOUN
cana-2484	133	25	is	be	AUX
cana-2484	133	26	fundamental	fundamental	ADJ
cana-2484	133	27	step	step	NOUN
cana-2484	133	28	for	for	ADP
cana-2484	133	29	computing	computing	NOUN
cana-2484	133	30	cup	cup	NOUN
cana-2484	133	31	to	to	PART
cana-2484	133	32	disc	disc	NOUN
cana-2484	133	33	ratio	ratio	NOUN
cana-2484	133	34	—	—	PUNCT
cana-2484	133	35	an	an	DET
cana-2484	133	36	important	important	ADJ
cana-2484	133	37	clinical	clinical	ADJ
cana-2484	133	38	index	index	NOUN
cana-2484	133	39	in	in	ADP
cana-2484	133	40	glaucoma	glaucoma	NOUN
cana-2484	133	41	diagnosis	diagnosis	NOUN
cana-2484	133	42	.	.	PUNCT
cana-2484	134	1	thermal	thermal	ADJ
cana-2484	134	2	threshold	threshold	NOUN
cana-2484	134	3	:	:	PUNCT
cana-2484	134	4	region	region	NOUN
cana-2484	134	5	-	-	PUNCT
cana-2484	134	6	based	base	VERB
cana-2484	134	7	active	active	ADJ
cana-2484	134	8	contour	contour	NOUN
cana-2484	134	9	models	model	NOUN
cana-2484	134	10	,	,	PUNCT
cana-2484	134	11	or	or	CCONJ
cana-2484	134	12	deep	deep	ADJ
cana-2484	134	13	learning	learning	NOUN
cana-2484	134	14	-	-	PUNCT
cana-2484	134	15	based	base	VERB
cana-2484	134	16	u	u	NOUN
cana-2484	134	17	-	-	ADJ
cana-2484	134	18	net	net	ADJ
cana-2484	134	19	segmentation	segmentation	NOUN
cana-2484	134	20	.	.	PUNCT
cana-2484	135	1	vessel	vessel	NOUN
cana-2484	135	2	density	density	NOUN
cana-2484	135	3	analysis	analysis	NOUN
cana-2484	135	4	:	:	PUNCT
cana-2484	135	5	other	other	ADJ
cana-2484	135	6	important	important	ADJ
cana-2484	135	7	features	feature	NOUN
cana-2484	135	8	include	include	VERB
cana-2484	135	9	vessel	vessel	NOUN
cana-2484	135	10	density	density	NOUN
cana-2484	135	11	and	and	CCONJ
cana-2484	135	12	the	the	DET
cana-2484	135	13	presence	presence	NOUN
cana-2484	135	14	of	of	ADP
cana-2484	135	15	microaneurysms	microaneurysm	NOUN
cana-2484	135	16	for	for	ADP
cana-2484	135	17	diabetic	diabetic	ADJ
cana-2484	135	18	retinopathy	retinopathy	ADJ
cana-2484	135	19	diagnosis	diagnosis	NOUN
cana-2484	135	20	.	.	PUNCT
cana-2484	136	1	methods	method	NOUN
cana-2484	136	2	:	:	PUNCT
cana-2484	136	3	we	we	PRON
cana-2484	136	4	used	use	VERB
cana-2484	136	5	skeletonization	skeletonization	NOUN
cana-2484	136	6	techniques	technique	NOUN
cana-2484	136	7	to	to	PART
cana-2484	136	8	analyse	analyse	VERB
cana-2484	136	9	vessel	vessel	NOUN
cana-2484	136	10	density	density	NOUN
cana-2484	136	11	and	and	CCONJ
cana-2484	136	12	branching	branch	VERB
cana-2484	136	13	patterns	pattern	NOUN
cana-2484	136	14	,	,	PUNCT
cana-2484	136	15	reflective	reflective	ADJ
cana-2484	136	16	of	of	ADP
cana-2484	136	17	retinal	retinal	ADJ
cana-2484	136	18	health	health	NOUN
cana-2484	136	19	.	.	PUNCT
cana-2484	137	1	skeletonization	skeletonization	NOUN
cana-2484	137	2	is	be	AUX
cana-2484	137	3	theoretically	theoretically	ADV
cana-2484	137	4	the	the	DET
cana-2484	137	5	process	process	NOUN
cana-2484	137	6	that	that	PRON
cana-2484	137	7	removes	remove	VERB
cana-2484	137	8	vessel	vessel	NOUN
cana-2484	137	9	structure	structure	NOUN
cana-2484	137	10	,	,	PUNCT
cana-2484	137	11	except	except	SCONJ
cana-2484	137	12	for	for	ADP
cana-2484	137	13	centerlines	centerline	NOUN
cana-2484	137	14	(	(	PUNCT
cana-2484	137	15	skeleton	skeleton	NOUN
cana-2484	137	16	)	)	PUNCT
cana-2484	137	17	,	,	PUNCT
cana-2484	137	18	and	and	CCONJ
cana-2484	137	19	hence	hence	ADV
cana-2484	137	20	it	it	PRON
cana-2484	137	21	can	can	AUX
cana-2484	137	22	be	be	AUX
cana-2484	137	23	used	use	VERB
cana-2484	137	24	to	to	PART
cana-2484	137	25	spatially	spatially	ADV
cana-2484	137	26	quantify	quantify	VERB
cana-2484	137	27	vessels	vessel	NOUN
cana-2484	137	28	in	in	ADP
cana-2484	137	29	terms	term	NOUN
cana-2484	137	30	of	of	ADP
cana-2484	137	31	density	density	NOUN
cana-2484	137	32	,	,	PUNCT
cana-2484	137	33	tortuosity	tortuosity	NOUN
cana-2484	137	34	and	and	CCONJ
cana-2484	137	35	number	number	NOUN
cana-2484	137	36	of	of	ADP
cana-2484	137	37	branching	branch	VERB
cana-2484	137	38	points	point	NOUN
cana-2484	137	39	.	.	PUNCT
cana-2484	138	1	●	●	PUNCT
cana-2484	138	2	techniques	technique	NOUN
cana-2484	138	3	used	use	VERB
cana-2484	138	4	in	in	ADP
cana-2484	138	5	model	model	NOUN
cana-2484	138	6	optimization	optimization	NOUN
cana-2484	138	7	:	:	PUNCT
cana-2484	138	8	transfer	transfer	NOUN
cana-2484	138	9	learning	learning	NOUN
cana-2484	138	10	:	:	PUNCT
cana-2484	138	11	there	there	PRON
cana-2484	138	12	can	can	AUX
cana-2484	138	13	be	be	AUX
cana-2484	138	14	a	a	DET
cana-2484	138	15	limitation	limitation	NOUN
cana-2484	138	16	of	of	ADP
cana-2484	138	17	retinal	retinal	ADJ
cana-2484	138	18	image	image	NOUN
cana-2484	138	19	datasets	dataset	NOUN
cana-2484	138	20	contributing	contribute	VERB
cana-2484	138	21	to	to	ADP
cana-2484	138	22	the	the	DET
cana-2484	138	23	risk	risk	NOUN
cana-2484	138	24	of	of	ADP
cana-2484	138	25	overfitting	overfitte	VERB
cana-2484	138	26	while	while	SCONJ
cana-2484	138	27	training	training	NOUN
cana-2484	138	28	cnns	cnns	NOUN
cana-2484	138	29	.	.	PUNCT
cana-2484	139	1	transfer	transfer	NOUN
cana-2484	139	2	learning	learn	VERB
cana-2484	139	3	solutions	solution	NOUN
cana-2484	139	4	by	by	ADP
cana-2484	139	5	using	use	VERB
cana-2484	139	6	pre	pre	ADJ
cana-2484	139	7	-	-	ADJ
cana-2484	139	8	trained	train	VERB
cana-2484	139	9	models	model	NOUN
cana-2484	139	10	as	as	SCONJ
cana-2484	139	11	feature	feature	NOUN
cana-2484	139	12	extractors	extractor	NOUN
cana-2484	139	13	can	can	AUX
cana-2484	139	14	partially	partially	ADV
cana-2484	139	15	solve	solve	VERB
cana-2484	139	16	this	this	DET
cana-2484	139	17	dilemma	dilemma	NOUN
cana-2484	139	18	,	,	PUNCT
cana-2484	139	19	e.g.	e.g.	ADV
cana-2484	139	20	resnet	resnet	NOUN
cana-2484	139	21	,	,	PUNCT
cana-2484	139	22	vgg16	vgg16	NOUN
cana-2484	139	23	transfer	transfer	NOUN
cana-2484	139	24	learning	learning	NOUN
cana-2484	139	25	is	be	AUX
cana-2484	139	26	a	a	DET
cana-2484	139	27	machine	machine	NOUN
cana-2484	139	28	learning	learning	NOUN
cana-2484	139	29	method	method	NOUN
cana-2484	139	30	where	where	SCONJ
cana-2484	139	31	a	a	DET
cana-2484	139	32	model	model	NOUN
cana-2484	139	33	developed	develop	VERB
cana-2484	139	34	for	for	ADP
cana-2484	139	35	a	a	DET
cana-2484	139	36	task	task	NOUN
cana-2484	139	37	is	be	AUX
cana-2484	139	38	reused	reuse	VERB
cana-2484	139	39	as	as	ADP
cana-2484	139	40	the	the	DET
cana-2484	139	41	starting	starting	NOUN
cana-2484	139	42	point	point	NOUN
cana-2484	139	43	for	for	ADP
cana-2484	139	44	a	a	DET
cana-2484	139	45	model	model	NOUN
cana-2484	139	46	on	on	ADP
cana-2484	139	47	a	a	DET
cana-2484	139	48	second	second	ADJ
cana-2484	139	49	task	task	NOUN
cana-2484	139	50	based	base	VERB
cana-2484	139	51	on	on	ADP
cana-2484	139	52	certain	certain	ADJ
cana-2484	139	53	theoretical	theoretical	ADJ
cana-2484	139	54	basis:(i	basis:(i	NOUN
cana-2484	139	55	)	)	PUNCT
cana-2484	140	1	the	the	DET
cana-2484	140	2	source	source	NOUN
cana-2484	140	3	and	and	CCONJ
cana-2484	140	4	target	target	NOUN
cana-2484	140	5	tasks	task	NOUN
cana-2484	140	6	are	be	AUX
cana-2484	140	7	the	the	DET
cana-2484	140	8	same	same	ADJ
cana-2484	140	9	(	(	PUNCT
cana-2484	140	10	e.g.	e.g.	ADV
cana-2484	140	11	,	,	PUNCT
cana-2484	140	12	object	object	VERB
cana-2484	140	13	detection	detection	NOUN
cana-2484	140	14	in	in	ADP
cana-2484	140	15	imagenet).(ii	imagenet).(ii	PRON
cana-2484	140	16	)	)	PUNCT
cana-2484	140	17	they	they	PRON
cana-2484	140	18	have	have	VERB
cana-2484	140	19	different	different	ADJ
cana-2484	140	20	data	datum	NOUN
cana-2484	140	21	but	but	CCONJ
cana-2484	140	22	share	share	NOUN
cana-2484	140	23	learned	learn	VERB
cana-2484	140	24	knowledge	knowledge	NOUN
cana-2484	140	25	(	(	PUNCT
cana-2484	140	26	object	object	NOUN
cana-2484	140	27	detection	detection	NOUN
cana-2484	140	28	—	—	PUNCT
cana-2484	140	29	retinal	retinal	ADJ
cana-2484	140	30	image	image	NOUN
cana-2484	140	31	classification	classification	NOUN
cana-2484	140	32	)	)	PUNCT
cana-2484	140	33	.	.	PUNCT
cana-2484	141	1	the	the	DET
cana-2484	141	2	early	early	ADJ
cana-2484	141	3	portion	portion	NOUN
cana-2484	141	4	of	of	ADP
cana-2484	141	5	a	a	DET
cana-2484	141	6	cnn	cnn	PROPN
cana-2484	141	7	learn	learn	VERB
cana-2484	141	8	general	general	ADJ
cana-2484	141	9	features	feature	NOUN
cana-2484	141	10	(	(	PUNCT
cana-2484	141	11	lines	line	NOUN
cana-2484	141	12	,	,	PUNCT
cana-2484	141	13	textures	texture	NOUN
cana-2484	141	14	)	)	PUNCT
cana-2484	141	15	and	and	CCONJ
cana-2484	141	16	the	the	DET
cana-2484	141	17	nearer	nearer	NOUN
cana-2484	141	18	to	to	ADP
cana-2484	141	19	the	the	DET
cana-2484	141	20	end	end	NOUN
cana-2484	141	21	some	some	DET
cana-2484	141	22	parts	part	NOUN
cana-2484	141	23	are	be	AUX
cana-2484	141	24	fine	fine	ADV
cana-2484	141	25	-	-	PUNCT
cana-2484	141	26	tuned	tune	VERB
cana-2484	141	27	to	to	ADP
cana-2484	141	28	the	the	DET
cana-2484	141	29	specific	specific	ADJ
cana-2484	141	30	medical	medical	ADJ
cana-2484	141	31	imaging	imaging	NOUN
cana-2484	141	32	problem	problem	NOUN
cana-2484	141	33	.	.	PUNCT
cana-2484	142	1	ensemble	ensemble	ADJ
cana-2484	142	2	learning	learning	NOUN
cana-2484	142	3	:	:	PUNCT
cana-2484	142	4	pooling	pool	VERB
cana-2484	142	5	of	of	ADP
cana-2484	142	6	predictions	prediction	NOUN
cana-2484	142	7	from	from	ADP
cana-2484	142	8	multiple	multiple	ADJ
cana-2484	142	9	models	model	NOUN
cana-2484	142	10	can	can	AUX
cana-2484	142	11	increase	increase	VERB
cana-2484	142	12	the	the	DET
cana-2484	142	13	diagnostic	diagnostic	ADJ
cana-2484	142	14	probability	probability	NOUN
cana-2484	142	15	and	and	CCONJ
cana-2484	142	16	generalizability	generalizability	NOUN
cana-2484	142	17	.	.	PUNCT
cana-2484	143	1	methods	method	NOUN
cana-2484	143	2	:	:	PUNCT
cana-2484	143	3	aggregate	aggregate	VERB
cana-2484	143	4	outputs	output	NOUN
cana-2484	143	5	of	of	ADP
cana-2484	143	6	multiple	multiple	ADJ
cana-2484	143	7	cnns	cnn	NOUN
cana-2484	143	8	trained	train	VERB
cana-2484	143	9	on	on	ADP
cana-2484	143	10	different	different	ADJ
cana-2484	143	11	portions	portion	NOUN
cana-2484	143	12	of	of	ADP
cana-2484	143	13	the	the	DET
cana-2484	143	14	data	datum	NOUN
cana-2484	143	15	using	use	VERB
cana-2484	143	16	model	model	NOUN
cana-2484	143	17	ensembles	ensemble	NOUN
cana-2484	143	18	(	(	PUNCT
cana-2484	143	19	e.g.	e.g.	ADV
cana-2484	143	20	bagging	bagging	NOUN
cana-2484	143	21	,	,	PUNCT
cana-2484	143	22	boosting	boost	VERB
cana-2484	143	23	{	{	PUNCT
cana-2484	143	24	i.e.	i.e.	X
cana-2484	143	25	adaboost	adaboost	ADV
cana-2484	143	26	}	}	PUNCT
cana-2484	143	27	)	)	PUNCT
cana-2484	144	1	theory	theory	NOUN
cana-2484	144	2	:	:	PUNCT
cana-2484	144	3	ensemble	ensemble	ADJ
cana-2484	144	4	learning	learning	NOUN
cana-2484	144	5	reduces	reduce	VERB
cana-2484	144	6	variance	variance	NOUN
cana-2484	144	7	(	(	PUNCT
cana-2484	144	8	bagging	bagging	NOUN
cana-2484	144	9	)	)	PUNCT
cana-2484	144	10	or	or	CCONJ
cana-2484	144	11	bias(booting	bias(boote	VERB
cana-2484	144	12	)	)	PUNCT
cana-2484	144	13	from	from	ADP
cana-2484	144	14	multiple	multiple	ADJ
cana-2484	144	15	models	model	NOUN
cana-2484	144	16	improving	improve	VERB
cana-2484	144	17	overall	overall	ADJ
cana-2484	144	18	performance	performance	NOUN
cana-2484	144	19	.	.	PUNCT
cana-2484	145	1	this	this	PRON
cana-2484	145	2	can	can	AUX
cana-2484	145	3	be	be	AUX
cana-2484	145	4	useful	useful	ADJ
cana-2484	145	5	to	to	PART
cana-2484	145	6	capture	capture	VERB
cana-2484	145	7	different	different	ADJ
cana-2484	145	8	features	feature	NOUN
cana-2484	145	9	of	of	ADP
cana-2484	145	10	the	the	DET
cana-2484	145	11	pathology	pathology	NOUN
cana-2484	145	12	existing	exist	VERB
cana-2484	145	13	in	in	ADP
cana-2484	145	14	retinal	retinal	ADJ
cana-2484	145	15	images	image	NOUN
cana-2484	145	16	from	from	ADP
cana-2484	145	17	a	a	DET
cana-2484	145	18	medical	medical	ADJ
cana-2484	145	19	image	image	NOUN
cana-2484	145	20	perspective	perspective	NOUN
cana-2484	145	21	.	.	PUNCT
cana-2484	146	1	beyond	beyond	ADP
cana-2484	146	2	cnn	cnn	PROPN
cana-2484	146	3	and	and	CCONJ
cana-2484	146	4	fuzzy	fuzzy	ADJ
cana-2484	146	5	logic	logic	NOUN
cana-2484	146	6	:	:	PUNCT
cana-2484	146	7	hybrid	hybrid	ADJ
cana-2484	146	8	ai	ai	PROPN
cana-2484	146	9	systems	system	NOUN
cana-2484	146	10	support	support	VERB
cana-2484	146	11	vector	vector	NOUN
cana-2484	146	12	machines	machine	NOUN
cana-2484	146	13	(	(	PUNCT
cana-2484	146	14	svm	svm	ADJ
cana-2484	146	15	)	)	PUNCT
cana-2484	146	16	integration	integration	NOUN
cana-2484	146	17	in	in	ADP
cana-2484	146	18	fuzzy	fuzzy	ADJ
cana-2484	146	19	logic	logic	NOUN
cana-2484	146	20	,	,	PUNCT
cana-2484	146	21	the	the	DET
cana-2484	146	22	classifications	classification	NOUN
cana-2484	146	23	to	to	PART
cana-2484	146	24	be	be	AUX
cana-2484	146	25	done	do	VERB
cana-2484	146	26	after	after	SCONJ
cana-2484	146	27	feature	feature	NOUN
cana-2484	146	28	extraction	extraction	NOUN
cana-2484	146	29	by	by	ADP
cana-2484	146	30	cnns	cnn	NOUN
cana-2484	146	31	is	be	AUX
cana-2484	146	32	done	do	VERB
cana-2484	146	33	in	in	ADP
cana-2484	146	34	svm	svm	PROPN
cana-2484	146	35	.	.	PROPN
cana-2484	146	36	probabilistic	probabilistic	ADJ
cana-2484	146	37	reasoning	reasoning	NOUN
cana-2484	146	38	with	with	ADP
cana-2484	146	39	bayesian	bayesian	NOUN
cana-2484	146	40	networks	network	NOUN
cana-2484	146	41	:	:	PUNCT
cana-2484	146	42	bayesian	bayesian	NOUN
cana-2484	146	43	networks	network	NOUN
cana-2484	146	44	are	be	AUX
cana-2484	146	45	another	another	DET
cana-2484	146	46	mathematical	mathematical	ADJ
cana-2484	146	47	framework	framework	NOUN
cana-2484	146	48	to	to	PART
cana-2484	146	49	address	address	VERB
cana-2484	146	50	uncertainty	uncertainty	NOUN
cana-2484	146	51	in	in	ADP
cana-2484	146	52	diagnosis	diagnosis	NOUN
cana-2484	146	53	modelling	model	VERB
cana-2484	146	54	probabilistic	probabilistic	ADJ
cana-2484	146	55	relationships	relationship	NOUN
cana-2484	146	56	for	for	ADP
cana-2484	146	57	different	different	ADJ
cana-2484	146	58	diagnostic	diagnostic	ADJ
cana-2484	146	59	features	feature	NOUN
cana-2484	146	60	.	.	PUNCT
cana-2484	147	1	communications	communication	NOUN
cana-2484	147	2	on	on	ADP
cana-2484	147	3	applied	apply	VERB
cana-2484	147	4	nonlinear	nonlinear	ADJ
cana-2484	147	5	analysis	analysis	NOUN
cana-2484	147	6	issn	issn	NOUN
cana-2484	147	7	:	:	PUNCT
cana-2484	147	8	1074	1074	NUM
cana-2484	147	9	-	-	PUNCT
cana-2484	147	10	133x	133x	NUM
cana-2484	147	11	vol	vol	NOUN
cana-2484	147	12	32	32	NUM
cana-2484	147	13	no	no	NOUN
cana-2484	147	14	.	.	PUNCT
cana-2484	148	1	2s	2s	NUM
cana-2484	148	2	(	(	PUNCT
cana-2484	148	3	2025	2025	NUM
cana-2484	148	4	)	)	PUNCT
cana-2484	148	5	500	500	NUM
cana-2484	148	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2484	148	7	theoretical	theoretical	ADJ
cana-2484	148	8	background	background	NOUN
cana-2484	148	9	:	:	PUNCT
cana-2484	148	10	bayesian	bayesian	NOUN
cana-2484	148	11	networks	network	NOUN
cana-2484	148	12	that	that	PRON
cana-2484	148	13	use	use	VERB
cana-2484	148	14	directed	direct	VERB
cana-2484	148	15	acyclic	acyclic	ADJ
cana-2484	148	16	graphs	graph	NOUN
cana-2484	148	17	to	to	PART
cana-2484	148	18	represent	represent	VERB
cana-2484	148	19	joint	joint	ADJ
cana-2484	148	20	probability	probability	NOUN
cana-2484	148	21	distributions	distribution	NOUN
cana-2484	148	22	.	.	PUNCT
cana-2484	149	1	here	here	ADV
cana-2484	149	2	they	they	PRON
cana-2484	149	3	can	can	AUX
cana-2484	149	4	predict	predict	VERB
cana-2484	149	5	the	the	DET
cana-2484	149	6	probability	probability	NOUN
cana-2484	149	7	of	of	ADP
cana-2484	149	8	disease	disease	NOUN
cana-2484	149	9	(	(	PUNCT
cana-2484	149	10	e.g.	e.g.	ADV
cana-2484	149	11	,	,	PUNCT
cana-2484	149	12	glaucoma	glaucoma	NOUN
cana-2484	149	13	,	,	PUNCT
cana-2484	149	14	dr	dr	PROPN
cana-2484	149	15	)	)	PUNCT
cana-2484	149	16	with	with	ADP
cana-2484	149	17	given	give	VERB
cana-2484	149	18	images	image	NOUN
cana-2484	149	19	and	and	CCONJ
cana-2484	149	20	patient	patient	ADJ
cana-2484	149	21	data	datum	NOUN
cana-2484	149	22	extracted	extract	VERB
cana-2484	149	23	features	feature	NOUN
cana-2484	149	24	using	use	VERB
cana-2484	149	25	this	this	DET
cana-2484	149	26	application	application	NOUN
cana-2484	149	27	.	.	PUNCT
cana-2484	150	1	●	●	PUNCT
cana-2484	150	2	explain	explain	NOUN
cana-2484	150	3	-	-	PUNCT
cana-2484	150	4	ability	ability	NOUN
cana-2484	150	5	&	&	CCONJ
cana-2484	150	6	interpretability	interpretability	NOUN
cana-2484	150	7	grad	grad	NOUN
cana-2484	150	8	-	-	PUNCT
cana-2484	150	9	cam	cam	NOUN
cana-2484	150	10	for	for	ADP
cana-2484	150	11	model	model	NOUN
cana-2484	150	12	explain	explain	NOUN
cana-2484	150	13	-	-	PUNCT
cana-2484	150	14	ability	ability	NOUN
cana-2484	150	15	:	:	PUNCT
cana-2484	150	16	the	the	DET
cana-2484	150	17	clinicians	clinician	NOUN
cana-2484	150	18	must	must	AUX
cana-2484	150	19	know	know	VERB
cana-2484	150	20	of	of	ADP
cana-2484	150	21	how	how	SCONJ
cana-2484	150	22	the	the	DET
cana-2484	150	23	model	model	NOUN
cana-2484	150	24	diagnoses	diagnose	VERB
cana-2484	150	25	.	.	PUNCT
cana-2484	151	1	we	we	PRON
cana-2484	151	2	only	only	ADV
cana-2484	151	3	slightly	slightly	ADV
cana-2484	151	4	touched	touch	VERB
cana-2484	151	5	on	on	ADP
cana-2484	151	6	the	the	DET
cana-2484	151	7	grad	grad	NOUN
cana-2484	151	8	-	-	PUNCT
cana-2484	151	9	cam	cam	NOUN
cana-2484	151	10	(	(	PUNCT
cana-2484	151	11	gradient	gradient	NOUN
cana-2484	151	12	-	-	PUNCT
cana-2484	151	13	weighted	weight	VERB
cana-2484	151	14	class	class	NOUN
cana-2484	151	15	activation	activation	NOUN
cana-2484	151	16	mapping	mapping	NOUN
cana-2484	151	17	)	)	PUNCT
cana-2484	151	18	,	,	PUNCT
cana-2484	151	19	a	a	DET
cana-2484	151	20	technique	technique	NOUN
cana-2484	151	21	to	to	PART
cana-2484	151	22	highlight	highlight	VERB
cana-2484	151	23	image	image	NOUN
cana-2484	151	24	regions	region	NOUN
cana-2484	151	25	that	that	PRON
cana-2484	151	26	are	be	AUX
cana-2484	151	27	used	use	VERB
cana-2484	151	28	by	by	ADP
cana-2484	151	29	the	the	DET
cana-2484	151	30	model	model	NOUN
cana-2484	151	31	as	as	ADP
cana-2484	151	32	evidence	evidence	NOUN
cana-2484	151	33	for	for	ADP
cana-2484	151	34	making	make	VERB
cana-2484	151	35	its	its	PRON
cana-2484	151	36	decision	decision	NOUN
cana-2484	151	37	.	.	PUNCT
cana-2484	152	1	theoretical	theoretical	ADJ
cana-2484	152	2	basis	basis	NOUN
cana-2484	152	3	:	:	PUNCT
cana-2484	152	4	grad	grad	NOUN
cana-2484	152	5	-	-	PUNCT
cana-2484	152	6	cam	cam	PROPN
cana-2484	152	7	is	be	AUX
cana-2484	152	8	based	base	VERB
cana-2484	152	9	on	on	ADP
cana-2484	152	10	the	the	DET
cana-2484	152	11	fact	fact	NOUN
cana-2484	152	12	that	that	SCONJ
cana-2484	152	13	cnns	cnn	NOUN
cana-2484	152	14	retain	retain	VERB
cana-2484	152	15	useful	useful	ADJ
cana-2484	152	16	class	class	NOUN
cana-2484	152	17	-	-	PUNCT
cana-2484	152	18	specific	specific	ADJ
cana-2484	152	19	information	information	NOUN
cana-2484	152	20	in	in	ADP
cana-2484	152	21	high	high	ADJ
cana-2484	152	22	-	-	PUNCT
cana-2484	152	23	to	to	ADP
cana-2484	152	24	-	-	PUNCT
cana-2484	152	25	low	low	ADJ
cana-2484	152	26	order	order	NOUN
cana-2484	152	27	at	at	ADP
cana-2484	152	28	their	their	PRON
cana-2484	152	29	depth	depth	NOUN
cana-2484	152	30	,	,	PUNCT
cana-2484	152	31	and	and	CCONJ
cana-2484	152	32	learning	learn	VERB
cana-2484	152	33	class	class	NOUN
cana-2484	152	34	activation	activation	NOUN
cana-2484	152	35	mapping	mapping	NOUN
cana-2484	152	36	is	be	AUX
cana-2484	152	37	interpreted	interpret	VERB
cana-2484	152	38	from	from	ADP
cana-2484	152	39	these	these	DET
cana-2484	152	40	gradients	gradient	NOUN
cana-2484	152	41	.	.	PUNCT
cana-2484	153	1	this	this	PRON
cana-2484	153	2	ensures	ensure	VERB
cana-2484	153	3	you	you	PRON
cana-2484	153	4	that	that	SCONJ
cana-2484	153	5	the	the	DET
cana-2484	153	6	model	model	NOUN
cana-2484	153	7	is	be	AUX
cana-2484	153	8	concentrating	concentrate	VERB
cana-2484	153	9	on	on	ADP
cana-2484	153	10	appropriate	appropriate	ADJ
cana-2484	153	11	clinical	clinical	ADJ
cana-2484	153	12	features	feature	NOUN
cana-2484	153	13	.	.	PUNCT
cana-2484	154	1	fuzzy	fuzzy	ADJ
cana-2484	154	2	logic	logic	NOUN
cana-2484	154	3	interpretability	interpretability	NOUN
cana-2484	154	4	:	:	PUNCT
cana-2484	154	5	whereas	whereas	SCONJ
cana-2484	154	6	the	the	DET
cana-2484	154	7	cnn	cnn	PROPN
cana-2484	154	8	serves	serve	VERB
cana-2484	154	9	as	as	ADP
cana-2484	154	10	a	a	DET
cana-2484	154	11	black	black	ADJ
cana-2484	154	12	box	box	NOUN
cana-2484	154	13	feature	feature	NOUN
cana-2484	154	14	extractor	extractor	NOUN
cana-2484	154	15	,	,	PUNCT
cana-2484	154	16	fuzzy	fuzzy	ADJ
cana-2484	154	17	logic	logic	NOUN
cana-2484	154	18	allows	allow	VERB
cana-2484	154	19	interpretability	interpretability	NOUN
cana-2484	154	20	in	in	ADP
cana-2484	154	21	the	the	DET
cana-2484	154	22	decision	decision	NOUN
cana-2484	154	23	making	make	VERB
cana-2484	154	24	by	by	ADP
cana-2484	154	25	producing	produce	VERB
cana-2484	154	26	a	a	DET
cana-2484	154	27	set	set	NOUN
cana-2484	154	28	of	of	ADP
cana-2484	154	29	rules	rule	NOUN
cana-2484	154	30	simulating	simulate	VERB
cana-2484	154	31	clinical	clinical	ADJ
cana-2484	154	32	reasoning	reasoning	NOUN
cana-2484	154	33	.	.	PUNCT
cana-2484	155	1	theoretical	theoretical	ADJ
cana-2484	155	2	basis	basis	NOUN
cana-2484	155	3	:	:	PUNCT
cana-2484	155	4	fuzzy	fuzzy	ADJ
cana-2484	155	5	rules	rule	NOUN
cana-2484	155	6	(	(	PUNCT
cana-2484	155	7	ie	ie	X
cana-2484	155	8	,	,	PUNCT
cana-2484	155	9	“	"	PUNCT
cana-2484	155	10	if	if	SCONJ
cana-2484	155	11	cup	cup	NOUN
cana-2484	155	12	-	-	PUNCT
cana-2484	155	13	to	to	ADP
cana-2484	155	14	-	-	PUNCT
cana-2484	155	15	disc	disc	NOUN
cana-2484	155	16	ratio	ratio	NOUN
cana-2484	155	17	high	high	ADJ
cana-2484	155	18	and	and	CCONJ
cana-2484	155	19	intraocular	intraocular	ADJ
cana-2484	155	20	pressure	pressure	NOUN
cana-2484	155	21	high	high	ADV
cana-2484	155	22	then	then	ADV
cana-2484	155	23	glaucoma	glaucoma	NOUN
cana-2484	155	24	likely	likely	ADJ
cana-2484	155	25	”	"	PUNCT
cana-2484	155	26	)	)	PUNCT
cana-2484	155	27	mimic	mimic	VERB
cana-2484	155	28	human	human	ADJ
cana-2484	155	29	expert	expert	NOUN
cana-2484	155	30	decision	decision	NOUN
cana-2484	155	31	-	-	PUNCT
cana-2484	155	32	making	making	NOUN
cana-2484	155	33	,	,	PUNCT
cana-2484	155	34	giving	give	VERB
cana-2484	155	35	transparency	transparency	NOUN
cana-2484	155	36	to	to	ADP
cana-2484	155	37	the	the	DET
cana-2484	155	38	system	system	NOUN
cana-2484	155	39	outputs	output	NOUN
cana-2484	155	40	.	.	PUNCT
cana-2484	156	1	●	●	PUNCT
cana-2484	156	2	processing	processing	NOUN
cana-2484	156	3	and	and	CCONJ
cana-2484	156	4	deployment	deployment	NOUN
cana-2484	156	5	for	for	ADP
cana-2484	156	6	real	real	ADJ
cana-2484	156	7	-	-	PUNCT
cana-2484	156	8	time	time	NOUN
cana-2484	156	9	:	:	PUNCT
cana-2484	156	10	real	real	ADJ
cana-2484	156	11	-	-	PUNCT
cana-2484	156	12	time	time	NOUN
cana-2484	156	13	data	datum	NOUN
cana-2484	156	14	analysis	analysis	NOUN
cana-2484	156	15	with	with	ADP
cana-2484	156	16	edge	edge	NOUN
cana-2484	156	17	computing	computing	NOUN
cana-2484	156	18	:	:	PUNCT
cana-2484	156	19	enabling	enable	VERB
cana-2484	156	20	it	it	PRON
cana-2484	156	21	in	in	ADP
cana-2484	156	22	critical	critical	ADJ
cana-2484	156	23	settings	setting	NOUN
cana-2484	156	24	(	(	PUNCT
cana-2484	156	25	which	which	PRON
cana-2484	156	26	are	be	AUX
cana-2484	156	27	fairly	fairly	ADV
cana-2484	156	28	distributed	distribute	VERB
cana-2484	156	29	and	and	CCONJ
cana-2484	156	30	often	often	ADV
cana-2484	156	31	have	have	VERB
cana-2484	156	32	very	very	ADV
cana-2484	156	33	low	low	ADJ
cana-2484	156	34	internet	internet	NOUN
cana-2484	156	35	accessibility	accessibility	NOUN
cana-2484	156	36	)	)	PUNCT
cana-2484	156	37	such	such	ADJ
cana-2484	156	38	as	as	ADP
cana-2484	156	39	clinical	clinical	ADJ
cana-2484	156	40	ones	one	NOUN
cana-2484	156	41	calls	call	VERB
cana-2484	156	42	for	for	ADP
cana-2484	156	43	making	make	VERB
cana-2484	156	44	the	the	DET
cana-2484	156	45	model	model	NOUN
cana-2484	156	46	operational	operational	ADJ
cana-2484	156	47	on	on	ADP
cana-2484	156	48	edge	edge	NOUN
cana-2484	156	49	devises	devise	NOUN
cana-2484	156	50	(	(	PUNCT
cana-2484	156	51	e.g.	e.g.	ADV
cana-2484	156	52	,	,	PUNCT
cana-2484	156	53	this	this	PRON
cana-2484	156	54	might	might	AUX
cana-2484	156	55	mean	mean	VERB
cana-2484	156	56	local	local	ADJ
cana-2484	156	57	servers	server	NOUN
cana-2484	156	58	,	,	PUNCT
cana-2484	156	59	or	or	CCONJ
cana-2484	156	60	embedded	embed	VERB
cana-2484	156	61	systems	system	NOUN
cana-2484	156	62	)	)	PUNCT
cana-2484	156	63	.	.	PUNCT
cana-2484	157	1	conceptual	conceptual	ADJ
cana-2484	157	2	underpinning	underpinning	ADJ
cana-2484	157	3	edge	edge	NOUN
cana-2484	157	4	computing	compute	VERB
cana-2484	157	5	moves	move	NOUN
cana-2484	157	6	data	datum	NOUN
cana-2484	157	7	processing	processing	NOUN
cana-2484	157	8	closer	close	ADV
cana-2484	157	9	to	to	ADP
cana-2484	157	10	the	the	DET
cana-2484	157	11	source	source	NOUN
cana-2484	157	12	of	of	ADP
cana-2484	157	13	the	the	DET
cana-2484	157	14	data	datum	NOUN
cana-2484	157	15	(	(	PUNCT
cana-2484	157	16	e.g.	e.g.	ADV
cana-2484	157	17	,	,	PUNCT
cana-2484	157	18	fundus	fundus	NOUN
cana-2484	157	19	cameras	camera	NOUN
cana-2484	157	20	)	)	PUNCT
cana-2484	157	21	and	and	CCONJ
cana-2484	157	22	away	away	ADV
cana-2484	157	23	from	from	ADP
cana-2484	157	24	external	external	ADJ
cana-2484	157	25	servers	server	NOUN
cana-2484	157	26	,	,	PUNCT
cana-2484	157	27	uses	use	VERB
cana-2484	157	28	less	less	ADJ
cana-2484	157	29	bandwidth	bandwidth	ADJ
cana-2484	157	30	and	and	CCONJ
cana-2484	157	31	reduce	reduce	VERB
cana-2484	157	32	latency	latency	NOUN
cana-2484	157	33	when	when	SCONJ
cana-2484	157	34	compared	compare	VERB
cana-2484	157	35	directly	directly	ADV
cana-2484	157	36	to	to	ADP
cana-2484	157	37	cloud	cloud	NOUN
cana-2484	157	38	-	-	PUNCT
cana-2484	157	39	based	base	VERB
cana-2484	157	40	technologies	technology	NOUN
cana-2484	157	41	.	.	PUNCT
cana-2484	158	1	methods	method	NOUN
cana-2484	158	2	such	such	ADJ
cana-2484	158	3	as	as	ADP
cana-2484	158	4	model	model	NOUN
cana-2484	158	5	pruning	pruning	NOUN
cana-2484	158	6	and	and	CCONJ
cana-2484	158	7	quantization	quantization	NOUN
cana-2484	158	8	have	have	AUX
cana-2484	158	9	been	be	AUX
cana-2484	158	10	developed	develop	VERB
cana-2484	158	11	for	for	ADP
cana-2484	158	12	optimizing	optimize	VERB
cana-2484	158	13	cnns	cnn	NOUN
cana-2484	158	14	to	to	PART
cana-2484	158	15	be	be	AUX
cana-2484	158	16	executed	execute	VERB
cana-2484	158	17	on	on	ADP
cana-2484	158	18	edge	edge	NOUN
cana-2484	158	19	devices	device	NOUN
cana-2484	158	20	which	which	PRON
cana-2484	158	21	are	be	AUX
cana-2484	158	22	obviously	obviously	ADV
cana-2484	158	23	computationally	computationally	ADV
cana-2484	158	24	limited	limit	VERB
cana-2484	158	25	.	.	PUNCT
cana-2484	159	1	telemedicine	telemedicine	NOUN
cana-2484	159	2	integration	integration	NOUN
cana-2484	159	3	:	:	PUNCT
cana-2484	159	4	integrate	integrate	VERB
cana-2484	159	5	the	the	DET
cana-2484	159	6	model	model	NOUN
cana-2484	159	7	with	with	ADP
cana-2484	159	8	a	a	DET
cana-2484	159	9	telemedicine	telemedicine	NOUN
cana-2484	159	10	platform	platform	NOUN
cana-2484	159	11	and	and	CCONJ
cana-2484	159	12	automate	automate	VERB
cana-2484	159	13	the	the	DET
cana-2484	159	14	diagnosis	diagnosis	NOUN
cana-2484	159	15	for	for	ADP
cana-2484	159	16	retinal	retinal	ADJ
cana-2484	159	17	images	image	NOUN
cana-2484	159	18	sent	send	VERB
cana-2484	159	19	remotely	remotely	ADV
cana-2484	159	20	rationale	rationale	NOUN
cana-2484	159	21	:	:	PUNCT
cana-2484	159	22	secure	secure	ADJ
cana-2484	159	23	apis	api	NOUN
cana-2484	159	24	can	can	AUX
cana-2484	159	25	be	be	AUX
cana-2484	159	26	used	use	VERB
cana-2484	159	27	by	by	ADP
cana-2484	159	28	telemedicine	telemedicine	NOUN
cana-2484	159	29	platforms	platform	NOUN
cana-2484	159	30	to	to	PART
cana-2484	159	31	upload	upload	VERB
cana-2484	159	32	images	image	NOUN
cana-2484	159	33	,	,	PUNCT
cana-2484	159	34	get	get	VERB
cana-2484	159	35	the	the	DET
cana-2484	159	36	diagnosis	diagnosis	NOUN
cana-2484	159	37	and	and	CCONJ
cana-2484	159	38	send	send	VERB
cana-2484	159	39	it	it	PRON
cana-2484	159	40	for	for	ADP
cana-2484	159	41	healthcare	healthcare	NOUN
cana-2484	159	42	providers	provider	NOUN
cana-2484	159	43	.	.	PUNCT
cana-2484	160	1	when	when	SCONJ
cana-2484	160	2	client	client	NOUN
cana-2484	160	3	data	data	NOUN
cana-2484	160	4	is	be	AUX
cana-2484	160	5	exchanged	exchange	VERB
cana-2484	160	6	and	and	CCONJ
cana-2484	160	7	stored	store	VERB
cana-2484	160	8	,	,	PUNCT
cana-2484	160	9	it	it	PRON
cana-2484	160	10	must	must	AUX
cana-2484	160	11	be	be	AUX
cana-2484	160	12	safeguarded	safeguard	VERB
cana-2484	160	13	from	from	ADP
cana-2484	160	14	unauthorized	unauthorized	ADJ
cana-2484	160	15	access	access	NOUN
cana-2484	160	16	with	with	ADP
cana-2484	160	17	and	and	CCONJ
cana-2484	160	18	transmitted	transmit	VERB
cana-2484	160	19	securely	securely	ADV
cana-2484	160	20	using	use	VERB
cana-2484	160	21	security	security	NOUN
cana-2484	160	22	protocols	protocol	NOUN
cana-2484	160	23	(	(	PUNCT
cana-2484	160	24	i.e.	i.e.	X
cana-2484	160	25	,	,	PUNCT
cana-2484	160	26	encryption	encryption	NOUN
cana-2484	160	27	,	,	PUNCT
cana-2484	160	28	authentication	authentication	NOUN
cana-2484	160	29	)	)	PUNCT
cana-2484	160	30	.	.	PUNCT
cana-2484	161	1	●	●	PUNCT
cana-2484	161	2	data	datum	NOUN
cana-2484	161	3	acquisition	acquisition	NOUN
cana-2484	161	4	and	and	CCONJ
cana-2484	161	5	preprocessing	preprocesse	VERB
cana-2484	161	6	the	the	DET
cana-2484	161	7	first	first	ADJ
cana-2484	161	8	part	part	NOUN
cana-2484	161	9	of	of	ADP
cana-2484	161	10	this	this	DET
cana-2484	161	11	project	project	NOUN
cana-2484	161	12	is	be	AUX
cana-2484	161	13	to	to	PART
cana-2484	161	14	collect	collect	VERB
cana-2484	161	15	a	a	DET
cana-2484	161	16	dataset	dataset	NOUN
cana-2484	161	17	of	of	ADP
cana-2484	161	18	retinal	retinal	ADJ
cana-2484	161	19	images	image	NOUN
cana-2484	161	20	which	which	PRON
cana-2484	161	21	are	be	AUX
cana-2484	161	22	well	well	ADV
cana-2484	161	23	-	-	PUNCT
cana-2484	161	24	labelled	label	VERB
cana-2484	161	25	and	and	CCONJ
cana-2484	161	26	quite	quite	ADV
cana-2484	161	27	representative	representative	ADJ
cana-2484	161	28	.	.	PUNCT
cana-2484	162	1	these	these	DET
cana-2484	162	2	datasets	dataset	NOUN
cana-2484	162	3	consist	consist	VERB
cana-2484	162	4	of	of	ADP
cana-2484	162	5	fundus	fundus	NOUN
cana-2484	162	6	photographs	photograph	NOUN
cana-2484	162	7	for	for	ADP
cana-2484	162	8	glaucoma	glaucoma	NOUN
cana-2484	162	9	and	and	CCONJ
cana-2484	162	10	dr	dr	PROPN
cana-2484	162	11	detection	detection	NOUN
cana-2484	162	12	or	or	CCONJ
cana-2484	162	13	optical	optical	ADJ
cana-2484	162	14	coherence	coherence	NOUN
cana-2484	162	15	tomography	tomography	NOUN
cana-2484	162	16	(	(	PUNCT
cana-2484	162	17	oct	oct	NOUN
cana-2484	162	18	)	)	PUNCT
cana-2484	162	19	scans	scan	NOUN
cana-2484	162	20	.	.	PUNCT
cana-2484	163	1	datasets	dataset	NOUN
cana-2484	163	2	to	to	PART
cana-2484	163	3	consider	consider	VERB
cana-2484	163	4	:	:	PUNCT
cana-2484	163	5	o	o	NOUN
cana-2484	163	6	eyepacs	eyepac	NOUN
cana-2484	163	7	:	:	PUNCT
cana-2484	163	8	for	for	ADP
cana-2484	163	9	diabetic	diabetic	ADJ
cana-2484	163	10	retinopathy	retinopathy	ADJ
cana-2484	163	11	detection	detection	NOUN
cana-2484	163	12	.	.	PUNCT
cana-2484	164	1	o	o	PROPN
cana-2484	164	2	sanctury	sanctury	PROPN
cana-2484	164	3	:	:	PUNCT
cana-2484	164	4	creates	create	VERB
cana-2484	164	5	refuge	refuge	NOUN
cana-2484	164	6	for	for	ADP
cana-2484	164	7	detection	detection	NOUN
cana-2484	164	8	of	of	ADP
cana-2484	164	9	glaucoma	glaucoma	NOUN
cana-2484	164	10	o	o	PROPN
cana-2484	164	11	oct	oct	PROPN
cana-2484	164	12	dataset	dataset	PROPN
cana-2484	164	13	:	:	PUNCT
cana-2484	164	14	oct	oct	NOUN
cana-2484	164	15	images	image	NOUN
cana-2484	164	16	for	for	ADP
cana-2484	164	17	detecting	detect	VERB
cana-2484	164	18	dr	dr	PROPN
cana-2484	164	19	and	and	CCONJ
cana-2484	164	20	glaucoma	glaucoma	NOUN
cana-2484	164	21	in	in	ADP
cana-2484	164	22	its	its	PRON
cana-2484	164	23	tender	tender	NOUN
cana-2484	164	24	phase	phase	NOUN
cana-2484	164	25	.	.	PUNCT
cana-2484	165	1	communications	communication	NOUN
cana-2484	165	2	on	on	ADP
cana-2484	165	3	applied	apply	VERB
cana-2484	165	4	nonlinear	nonlinear	ADJ
cana-2484	165	5	analysis	analysis	NOUN
cana-2484	165	6	issn	issn	NOUN
cana-2484	165	7	:	:	PUNCT
cana-2484	165	8	1074	1074	NUM
cana-2484	165	9	-	-	PUNCT
cana-2484	165	10	133x	133x	NUM
cana-2484	165	11	vol	vol	NOUN
cana-2484	165	12	32	32	NUM
cana-2484	165	13	no	no	NOUN
cana-2484	165	14	.	.	PUNCT
cana-2484	166	1	2s	2s	NUM
cana-2484	166	2	(	(	PUNCT
cana-2484	166	3	2025	2025	NUM
cana-2484	166	4	)	)	PUNCT
cana-2484	166	5	501	501	NUM
cana-2484	166	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2484	166	7	we	we	PRON
cana-2484	166	8	will	will	AUX
cana-2484	166	9	need	need	VERB
cana-2484	166	10	to	to	PART
cana-2484	166	11	pre	pre	VERB
cana-2484	166	12	-	-	VERB
cana-2484	166	13	process	process	VERB
cana-2484	166	14	this	this	PRON
cana-2484	166	15	so	so	SCONJ
cana-2484	166	16	that	that	SCONJ
cana-2484	166	17	images	image	NOUN
cana-2484	166	18	are	be	AUX
cana-2484	166	19	normalized	normalize	VERB
cana-2484	166	20	and	and	CCONJ
cana-2484	166	21	denoisified	denoisifie	VERB
cana-2484	166	22	.	.	PUNCT
cana-2484	167	1	it	it	PRON
cana-2484	167	2	involves	involve	VERB
cana-2484	167	3	:	:	PUNCT
cana-2484	167	4	resizing	resize	VERB
cana-2484	167	5	:	:	PUNCT
cana-2484	167	6	all	all	DET
cana-2484	167	7	images	image	NOUN
cana-2484	167	8	are	be	AUX
cana-2484	167	9	resized	resize	VERB
cana-2484	167	10	to	to	ADP
cana-2484	167	11	a	a	DET
cana-2484	167	12	common	common	ADJ
cana-2484	167	13	resolution	resolution	NOUN
cana-2484	167	14	,	,	PUNCT
cana-2484	167	15	such	such	ADJ
cana-2484	167	16	as	as	ADP
cana-2484	167	17	224	224	NUM
cana-2484	167	18	×	×	NOUN
cana-2484	167	19	224	224	NUM
cana-2484	167	20	pixels	pixel	NOUN
cana-2484	167	21	,	,	PUNCT
cana-2484	167	22	which	which	PRON
cana-2484	167	23	is	be	AUX
cana-2484	167	24	suitable	suitable	ADJ
cana-2484	167	25	for	for	ADP
cana-2484	167	26	feeding	feed	VERB
cana-2484	167	27	into	into	ADP
cana-2484	167	28	the	the	DET
cana-2484	167	29	convolutional	convolutional	ADJ
cana-2484	167	30	neural	neural	ADJ
cana-2484	167	31	network	network	NOUN
cana-2484	167	32	(	(	PUNCT
cana-2484	167	33	cnn	cnn	PROPN
cana-2484	167	34	)	)	PUNCT
cana-2484	167	35	.	.	PUNCT
cana-2484	168	1	normalization	normalization	NOUN
cana-2484	168	2	:	:	PUNCT
cana-2484	168	3	the	the	DET
cana-2484	168	4	pixel	pixel	PROPN
cana-2484	168	5	intensity	intensity	NOUN
cana-2484	168	6	values	value	NOUN
cana-2484	168	7	of	of	ADP
cana-2484	168	8	the	the	DET
cana-2484	168	9	images	image	NOUN
cana-2484	168	10	are	be	AUX
cana-2484	168	11	normalized	normalize	VERB
cana-2484	168	12	to	to	ADP
cana-2484	168	13	a	a	DET
cana-2484	168	14	range	range	NOUN
cana-2484	168	15	of	of	ADP
cana-2484	168	16	[	[	X
cana-2484	168	17	0,1	0,1	NUM
cana-2484	168	18	]	]	PUNCT
cana-2484	168	19	to	to	PART
cana-2484	168	20	stabilize	stabilize	VERB
cana-2484	168	21	the	the	DET
cana-2484	168	22	training	training	NOUN
cana-2484	168	23	process	process	NOUN
cana-2484	168	24	.	.	PUNCT
cana-2484	169	1	this	this	PRON
cana-2484	169	2	can	can	AUX
cana-2484	169	3	be	be	AUX
cana-2484	169	4	achieved	achieve	VERB
cana-2484	169	5	using	use	VERB
cana-2484	169	6	:	:	PUNCT
cana-2484	169	7	𝐼𝑛𝑜𝑟𝑚(𝑥	𝐼𝑛𝑜𝑟𝑚(𝑥	NOUN
cana-2484	169	8	,	,	PUNCT
cana-2484	169	9	𝑦	𝑦	NOUN
cana-2484	169	10	)	)	PUNCT
cana-2484	169	11	=	=	SYM
cana-2484	169	12	𝐼(𝑥	𝐼(𝑥	PROPN
cana-2484	169	13	,	,	PUNCT
cana-2484	169	14	𝑦	𝑦	NOUN
cana-2484	169	15	)	)	PUNCT
cana-2484	169	16	−	−	NOUN
cana-2484	169	17	𝜇	𝜇	ADP
cana-2484	169	18	𝜎	𝜎	PROPN
cana-2484	169	19	where	where	SCONJ
cana-2484	169	20	,	,	PUNCT
cana-2484	169	21	𝐼(𝑥	𝐼(𝑥	PROPN
cana-2484	169	22	,	,	PUNCT
cana-2484	169	23	𝑦	𝑦	NOUN
cana-2484	169	24	)	)	PUNCT
cana-2484	169	25	is	be	AUX
cana-2484	169	26	the	the	DET
cana-2484	169	27	pixel	pixel	PROPN
cana-2484	169	28	intensity	intensity	NOUN
cana-2484	169	29	,	,	PUNCT
cana-2484	169	30	𝜇	𝜇	X
cana-2484	169	31	is	be	AUX
cana-2484	169	32	the	the	DET
cana-2484	169	33	mean	mean	ADJ
cana-2484	169	34	intensity	intensity	NOUN
cana-2484	169	35	,	,	PUNCT
cana-2484	169	36	and	and	CCONJ
cana-2484	169	37	𝜎	𝜎	PROPN
cana-2484	169	38	is	be	AUX
cana-2484	169	39	the	the	DET
cana-2484	169	40	standard	standard	ADJ
cana-2484	169	41	deviation	deviation	NOUN
cana-2484	169	42	of	of	ADP
cana-2484	169	43	the	the	DET
cana-2484	169	44	entire	entire	ADJ
cana-2484	169	45	image	image	NOUN
cana-2484	169	46	dataset	dataset	NOUN
cana-2484	169	47	.	.	PUNCT
cana-2484	170	1	data	datum	NOUN
cana-2484	170	2	augmentation	augmentation	NOUN
cana-2484	170	3	:	:	PUNCT
cana-2484	170	4	techniques	technique	NOUN
cana-2484	170	5	such	such	ADJ
cana-2484	170	6	as	as	ADP
cana-2484	170	7	rotation	rotation	NOUN
cana-2484	170	8	,	,	PUNCT
cana-2484	170	9	zooming	zooming	NOUN
cana-2484	170	10	,	,	PUNCT
cana-2484	170	11	flipping	flipping	NOUN
cana-2484	170	12	,	,	PUNCT
cana-2484	170	13	and	and	CCONJ
cana-2484	170	14	contrast	contrast	NOUN
cana-2484	170	15	adjustment	adjustment	NOUN
cana-2484	170	16	are	be	AUX
cana-2484	170	17	used	use	VERB
cana-2484	170	18	to	to	PART
cana-2484	170	19	artificially	artificially	ADV
cana-2484	170	20	increase	increase	VERB
cana-2484	170	21	the	the	DET
cana-2484	170	22	diversity	diversity	NOUN
cana-2484	170	23	of	of	ADP
cana-2484	170	24	the	the	DET
cana-2484	170	25	training	training	NOUN
cana-2484	170	26	data	datum	NOUN
cana-2484	170	27	,	,	PUNCT
cana-2484	170	28	improving	improve	VERB
cana-2484	170	29	the	the	DET
cana-2484	170	30	model	model	NOUN
cana-2484	170	31	's	's	PART
cana-2484	170	32	generalization	generalization	NOUN
cana-2484	170	33	capacity	capacity	NOUN
cana-2484	170	34	.	.	PUNCT
cana-2484	171	1	●	●	PUNCT
cana-2484	171	2	design	design	NOUN
cana-2484	171	3	cnn	cnn	NOUN
cana-2484	171	4	(	(	PUNCT
cana-2484	171	5	deep	deep	ADJ
cana-2484	171	6	neural	neural	ADJ
cana-2484	171	7	network	network	NOUN
cana-2484	171	8	)	)	PUNCT
cana-2484	171	9	for	for	ADP
cana-2484	171	10	feature	feature	NOUN
cana-2484	171	11	extraction	extraction	NOUN
cana-2484	171	12	:	:	PUNCT
cana-2484	171	13	in	in	ADP
cana-2484	171	14	general	general	ADJ
cana-2484	171	15	,	,	PUNCT
cana-2484	171	16	convolutional	convolutional	ADJ
cana-2484	171	17	neural	neural	ADJ
cana-2484	171	18	networks	network	NOUN
cana-2484	171	19	(	(	PUNCT
cana-2484	171	20	cnns	cnns	PROPN
cana-2484	171	21	)	)	PUNCT
cana-2484	171	22	are	be	AUX
cana-2484	171	23	used	use	VERB
cana-2484	171	24	as	as	ADP
cana-2484	171	25	feature	feature	NOUN
cana-2484	171	26	extractors	extractor	NOUN
cana-2484	171	27	that	that	PRON
cana-2484	171	28	can	can	AUX
cana-2484	171	29	detect	detect	VERB
cana-2484	171	30	patterns	pattern	NOUN
cana-2484	171	31	in	in	ADP
cana-2484	171	32	the	the	DET
cana-2484	171	33	images	image	NOUN
cana-2484	171	34	like	like	ADP
cana-2484	171	35	appearance	appearance	NOUN
cana-2484	171	36	of	of	ADP
cana-2484	171	37	microaneurysms	microaneurysm	NOUN
cana-2484	171	38	(	(	PUNCT
cana-2484	171	39	dr	dr	PROPN
cana-2484	171	40	)	)	PUNCT
cana-2484	171	41	,	,	PUNCT
cana-2484	171	42	or	or	CCONJ
cana-2484	171	43	optic	optic	ADJ
cana-2484	171	44	nerve	nerve	NOUN
cana-2484	171	45	head	head	NOUN
cana-2484	171	46	deformation	deformation	NOUN
cana-2484	171	47	(	(	PUNCT
cana-2484	171	48	glaucoma	glaucoma	NOUN
cana-2484	171	49	)	)	PUNCT
cana-2484	171	50	.	.	PUNCT
cana-2484	172	1	cnn	cnn	PROPN
cana-2484	172	2	architecture	architecture	NOUN
cana-2484	172	3	:	:	PUNCT
cana-2484	172	4	input	input	NOUN
cana-2484	172	5	layer	layer	NOUN
cana-2484	172	6	:	:	PUNCT
cana-2484	172	7	accepts	accept	VERB
cana-2484	172	8	the	the	DET
cana-2484	172	9	pre	pre	ADJ
cana-2484	172	10	-	-	ADJ
cana-2484	172	11	processed	process	VERB
cana-2484	172	12	images	image	NOUN
cana-2484	172	13	(	(	PUNCT
cana-2484	172	14	e.g.	e.g.	ADV
cana-2484	172	15	,	,	PUNCT
cana-2484	172	16	224	224	NUM
cana-2484	172	17	×	×	NOUN
cana-2484	172	18	224	224	NUM
cana-2484	172	19	×	×	NOUN
cana-2484	172	20	3	3	NUM
cana-2484	172	21	)	)	PUNCT
cana-2484	172	22	.	.	PUNCT
cana-2484	173	1	convolutional	convolutional	ADJ
cana-2484	173	2	layer	layer	NOUN
cana-2484	173	3	:	:	PUNCT
cana-2484	173	4	a	a	DET
cana-2484	173	5	convolutional	convolutional	ADJ
cana-2484	173	6	filter	filter	NOUN
cana-2484	173	7	𝐾	𝐾	PROPN
cana-2484	173	8	of	of	ADP
cana-2484	173	9	size	size	NOUN
cana-2484	173	10	3	3	NUM
cana-2484	173	11	×	×	NOUN
cana-2484	173	12	3	3	NUM
cana-2484	173	13	slides	slide	NOUN
cana-2484	173	14	over	over	ADP
cana-2484	173	15	the	the	DET
cana-2484	173	16	input	input	NOUN
cana-2484	173	17	,	,	PUNCT
cana-2484	173	18	calculating	calculate	VERB
cana-2484	173	19	the	the	DET
cana-2484	173	20	dot	dot	NOUN
cana-2484	173	21	product	product	NOUN
cana-2484	173	22	between	between	ADP
cana-2484	173	23	the	the	DET
cana-2484	173	24	filter	filter	NOUN
cana-2484	173	25	and	and	CCONJ
cana-2484	173	26	the	the	DET
cana-2484	173	27	input	input	NOUN
cana-2484	173	28	pixel	pixel	PROPN
cana-2484	173	29	values	value	NOUN
cana-2484	173	30	.	.	PUNCT
cana-2484	174	1	the	the	DET
cana-2484	174	2	convolution	convolution	NOUN
cana-2484	174	3	operation	operation	NOUN
cana-2484	174	4	is	be	AUX
cana-2484	174	5	given	give	VERB
cana-2484	174	6	by	by	ADP
cana-2484	174	7	:	:	PUNCT
cana-2484	174	8	communications	communication	NOUN
cana-2484	174	9	on	on	ADP
cana-2484	174	10	applied	apply	VERB
cana-2484	174	11	nonlinear	nonlinear	ADJ
cana-2484	174	12	analysis	analysis	NOUN
cana-2484	174	13	issn	issn	NOUN
cana-2484	174	14	:	:	PUNCT
cana-2484	174	15	1074	1074	NUM
cana-2484	174	16	-	-	PUNCT
cana-2484	174	17	133x	133x	NUM
cana-2484	174	18	vol	vol	NOUN
cana-2484	174	19	32	32	NUM
cana-2484	174	20	no	no	NOUN
cana-2484	174	21	.	.	PUNCT
cana-2484	175	1	2s	2s	NUM
cana-2484	175	2	(	(	PUNCT
cana-2484	175	3	2025	2025	NUM
cana-2484	175	4	)	)	PUNCT
cana-2484	175	5	502	502	NUM
cana-2484	175	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2484	175	7	(	(	PUNCT
cana-2484	175	8	𝐼	𝐼	PROPN
cana-2484	175	9	∗	∗	NOUN
cana-2484	175	10	𝐾)(𝑥	𝐾)(𝑥	PROPN
cana-2484	175	11	,	,	PUNCT
cana-2484	175	12	𝑦	𝑦	NOUN
cana-2484	175	13	)	)	PUNCT
cana-2484	175	14	=	=	SYM
cana-2484	175	15	∑	∑	PUNCT
cana-2484	175	16	𝑚−1	𝑚−1	PROPN
cana-2484	175	17	𝑖=0	𝑖=0	NOUN
cana-2484	175	18	∑	∑	X
cana-2484	175	19	𝑛−1	𝑛−1	NUM
cana-2484	175	20	𝑗=0	𝑗=0	PUNCT
cana-2484	176	1	𝐼(𝑥	𝐼(𝑥	PUNCT
cana-2484	176	2	+	+	CCONJ
cana-2484	176	3	𝑖	𝑖	SYM
cana-2484	176	4	,	,	PUNCT
cana-2484	176	5	𝑦	𝑦	NOUN
cana-2484	176	6	+	+	X
cana-2484	176	7	𝑗	𝑗	X
cana-2484	176	8	)	)	PUNCT
cana-2484	176	9	⋅	⋅	PROPN
cana-2484	176	10	𝐾(𝑖	𝐾(𝑖	X
cana-2484	176	11	,	,	PUNCT
cana-2484	176	12	𝑗	𝑗	NOUN
cana-2484	176	13	)	)	PUNCT
cana-2484	176	14	where	where	SCONJ
cana-2484	176	15	,	,	PUNCT
cana-2484	176	16	𝑚	𝑚	PROPN
cana-2484	176	17	and	and	CCONJ
cana-2484	176	18	𝑛	𝑛	PROPN
cana-2484	176	19	are	be	AUX
cana-2484	176	20	filter	filter	NOUN
cana-2484	176	21	dimensions	dimension	NOUN
cana-2484	176	22	,	,	PUNCT
cana-2484	176	23	𝑥	𝑥	PRON
cana-2484	176	24	,	,	PUNCT
cana-2484	176	25	𝑦	𝑦	PRON
cana-2484	176	26	are	be	AUX
cana-2484	176	27	pixel	pixel	PROPN
cana-2484	176	28	coordinates	coordinate	NOUN
cana-2484	176	29	.	.	PUNCT
cana-2484	177	1	relu	relu	NOUN
cana-2484	177	2	activation	activation	NOUN
cana-2484	177	3	:	:	PUNCT
cana-2484	177	4	the	the	DET
cana-2484	177	5	rectified	rectified	ADJ
cana-2484	177	6	linear	linear	PROPN
cana-2484	177	7	unit	unit	NOUN
cana-2484	177	8	is	be	AUX
cana-2484	177	9	applied	apply	VERB
cana-2484	177	10	to	to	PART
cana-2484	177	11	introduce	introduce	VERB
cana-2484	177	12	non	non	ADJ
cana-2484	177	13	-	-	ADJ
cana-2484	177	14	linearity	linearity	ADJ
cana-2484	177	15	:	:	PUNCT
cana-2484	177	16	𝑓(𝑥	𝑓(𝑥	NOUN
cana-2484	177	17	)	)	PUNCT
cana-2484	177	18	=	=	PUNCT
cana-2484	178	1	𝑚𝑎𝑥(0	𝑚𝑎𝑥(0	ADJ
cana-2484	178	2	,	,	PUNCT
cana-2484	178	3	𝑥	𝑥	NOUN
cana-2484	178	4	)	)	PUNCT
cana-2484	178	5	pooling	pool	VERB
cana-2484	178	6	layer	layer	NOUN
cana-2484	178	7	:	:	PUNCT
cana-2484	178	8	max	max	PROPN
cana-2484	178	9	-	-	PUNCT
cana-2484	178	10	pooling	pooling	NOUN
cana-2484	178	11	reduces	reduce	VERB
cana-2484	178	12	the	the	DET
cana-2484	178	13	spatial	spatial	ADJ
cana-2484	178	14	dimensions	dimension	NOUN
cana-2484	178	15	of	of	ADP
cana-2484	178	16	the	the	DET
cana-2484	178	17	feature	feature	NOUN
cana-2484	178	18	maps	map	NOUN
cana-2484	178	19	by	by	ADP
cana-2484	178	20	selecting	select	VERB
cana-2484	178	21	the	the	DET
cana-2484	178	22	maximum	maximum	ADJ
cana-2484	178	23	value	value	NOUN
cana-2484	178	24	from	from	ADP
cana-2484	178	25	each	each	DET
cana-2484	178	26	2	2	NUM
cana-2484	178	27	×	×	NOUN
cana-2484	178	28	2	2	NUM
cana-2484	178	29	pooling	pooling	NOUN
cana-2484	178	30	window	window	NOUN
cana-2484	178	31	.	.	PUNCT
cana-2484	179	1	the	the	DET
cana-2484	179	2	pooling	pooling	NOUN
cana-2484	179	3	operation	operation	NOUN
cana-2484	179	4	can	can	AUX
cana-2484	179	5	be	be	AUX
cana-2484	179	6	represented	represent	VERB
cana-2484	179	7	as	as	ADP
cana-2484	179	8	:	:	PUNCT
cana-2484	179	9	𝑃(𝑥	𝑃(𝑥	NUM
cana-2484	179	10	,	,	PUNCT
cana-2484	179	11	𝑦	𝑦	NOUN
cana-2484	179	12	)	)	PUNCT
cana-2484	179	13	=	=	VERB
cana-2484	180	1	𝑚𝑎𝑥	𝑚𝑎𝑥	PRON
cana-2484	180	2	𝑖,𝑗	𝑖,𝑗	X
cana-2484	180	3	𝐹(𝑥	𝐹(𝑥	PUNCT
cana-2484	180	4	+	+	NUM
cana-2484	180	5	𝑖	𝑖	SYM
cana-2484	180	6	,	,	PUNCT
cana-2484	180	7	𝑦	𝑦	NOUN
cana-2484	180	8	+	+	X
cana-2484	180	9	𝑗	𝑗	NOUN
cana-2484	180	10	)	)	PUNCT
cana-2484	180	11	where	where	SCONJ
cana-2484	180	12	,	,	PUNCT
cana-2484	180	13	𝐹	𝐹	PROPN
cana-2484	180	14	is	be	AUX
cana-2484	180	15	the	the	DET
cana-2484	180	16	feature	feature	NOUN
cana-2484	180	17	map	map	NOUN
cana-2484	180	18	and	and	CCONJ
cana-2484	180	19	𝑥	𝑥	NOUN
cana-2484	180	20	,	,	PUNCT
cana-2484	180	21	𝑦	𝑦	PRON
cana-2484	180	22	define	define	VERB
cana-2484	180	23	the	the	DET
cana-2484	180	24	pooling	pooling	NOUN
cana-2484	180	25	window	window	NOUN
cana-2484	180	26	.	.	PUNCT
cana-2484	181	1	fully	fully	ADV
cana-2484	181	2	connected	connect	VERB
cana-2484	181	3	layer	layer	NOUN
cana-2484	181	4	(	(	PUNCT
cana-2484	181	5	fc	fc	INTJ
cana-2484	181	6	):	):	PUNCT
cana-2484	181	7	after	after	ADP
cana-2484	181	8	several	several	ADJ
cana-2484	181	9	convolutional	convolutional	ADJ
cana-2484	181	10	and	and	CCONJ
cana-2484	181	11	pooling	pool	VERB
cana-2484	181	12	layers	layer	NOUN
cana-2484	181	13	,	,	PUNCT
cana-2484	181	14	a	a	DET
cana-2484	181	15	fully	fully	ADV
cana-2484	181	16	connected	connect	VERB
cana-2484	181	17	layer	layer	NOUN
cana-2484	181	18	flattens	flatten	VERB
cana-2484	181	19	the	the	DET
cana-2484	181	20	feature	feature	NOUN
cana-2484	181	21	maps	map	NOUN
cana-2484	181	22	and	and	CCONJ
cana-2484	181	23	connects	connect	VERB
cana-2484	181	24	them	they	PRON
cana-2484	181	25	to	to	ADP
cana-2484	181	26	a	a	DET
cana-2484	181	27	dense	dense	ADJ
cana-2484	181	28	neural	neural	ADJ
cana-2484	181	29	network	network	NOUN
cana-2484	181	30	for	for	ADP
cana-2484	181	31	classification	classification	NOUN
cana-2484	181	32	.	.	PUNCT
cana-2484	182	1	softmax	softmax	ADJ
cana-2484	182	2	layer	layer	NOUN
cana-2484	182	3	:	:	PUNCT
cana-2484	182	4	produces	produce	VERB
cana-2484	182	5	probability	probability	NOUN
cana-2484	182	6	scores	score	NOUN
cana-2484	182	7	for	for	ADP
cana-2484	182	8	each	each	DET
cana-2484	182	9	class	class	NOUN
cana-2484	182	10	(	(	PUNCT
cana-2484	182	11	e.g.	e.g.	ADV
cana-2484	182	12	,	,	PUNCT
cana-2484	182	13	no	no	DET
cana-2484	182	14	disease	disease	NOUN
cana-2484	182	15	,	,	PUNCT
cana-2484	182	16	early	early	ADJ
cana-2484	182	17	-	-	PUNCT
cana-2484	182	18	stage	stage	NOUN
cana-2484	182	19	dr	dr	PROPN
cana-2484	182	20	,	,	PUNCT
cana-2484	182	21	advanced	advanced	PROPN
cana-2484	182	22	dr	dr	PROPN
cana-2484	182	23	,	,	PUNCT
cana-2484	182	24	glaucoma	glaucoma	NOUN
cana-2484	182	25	)	)	PUNCT
cana-2484	182	26	.	.	PUNCT
cana-2484	183	1	the	the	DET
cana-2484	183	2	softmax	softmax	NOUN
cana-2484	183	3	function	function	NOUN
cana-2484	183	4	is	be	AUX
cana-2484	183	5	:	:	PUNCT
cana-2484	183	6	𝑆𝑜𝑓𝑡𝑚𝑎𝑥(𝑧𝑖	𝑆𝑜𝑓𝑡𝑚𝑎𝑥(𝑧𝑖	NOUN
cana-2484	183	7	)	)	PUNCT
cana-2484	183	8	=	=	PUNCT
cana-2484	183	9	𝑒𝑧𝑖	𝑒𝑧𝑖	NOUN
cana-2484	183	10	∑𝑗	∑𝑗	ADJ
cana-2484	183	11	𝑒𝑧𝑗	𝑒𝑧𝑗	NOUN
cana-2484	183	12	where	where	SCONJ
cana-2484	183	13	,	,	PUNCT
cana-2484	183	14	𝑧𝑖	𝑧𝑖	INTJ
cana-2484	183	15	is	be	AUX
cana-2484	183	16	the	the	DET
cana-2484	183	17	logit	logit	NOUN
cana-2484	183	18	value	value	NOUN
cana-2484	183	19	of	of	ADP
cana-2484	183	20	class	class	NOUN
cana-2484	183	21	𝑖.	𝑖.	ADJ
cana-2484	183	22	layer	layer	NOUN
cana-2484	183	23	type	type	NOUN
cana-2484	183	24	filter	filter	NOUN
cana-2484	183	25	size	size	NOUN
cana-2484	183	26	output	output	NOUN
cana-2484	183	27	shape	shape	NOUN
cana-2484	183	28	activation	activation	NOUN
cana-2484	183	29	input	input	NOUN
cana-2484	183	30	224x224x3	224x224x3	NUM
cana-2484	183	31	convolutional	convolutional	ADJ
cana-2484	183	32	3x3	3x3	NUM
cana-2484	183	33	224x224x64	224x224x64	NOUN
cana-2484	183	34	relu	relu	NOUN
cana-2484	183	35	pooling	pool	VERB
cana-2484	183	36	2x2	2x2	NUM
cana-2484	183	37	112x112x64	112x112x64	PRON
cana-2484	183	38	fully	fully	ADV
cana-2484	183	39	connected	connect	VERB
cana-2484	183	40	256	256	NUM
cana-2484	183	41	relu	relu	NOUN
cana-2484	183	42	softmax	softmax	NOUN
cana-2484	183	43	#	#	NOUN
cana-2484	183	44	of	of	ADP
cana-2484	183	45	classes	class	NOUN
cana-2484	183	46	softmax	softmax	NOUN
cana-2484	183	47	communications	communication	NOUN
cana-2484	183	48	on	on	ADP
cana-2484	183	49	applied	apply	VERB
cana-2484	183	50	nonlinear	nonlinear	ADJ
cana-2484	183	51	analysis	analysis	NOUN
cana-2484	183	52	issn	issn	NOUN
cana-2484	183	53	:	:	PUNCT
cana-2484	183	54	1074	1074	NUM
cana-2484	183	55	-	-	PUNCT
cana-2484	183	56	133x	133x	NUM
cana-2484	183	57	vol	vol	NOUN
cana-2484	183	58	32	32	NUM
cana-2484	183	59	no	no	NOUN
cana-2484	183	60	.	.	PUNCT
cana-2484	184	1	2s	2s	NUM
cana-2484	184	2	(	(	PUNCT
cana-2484	184	3	2025	2025	NUM
cana-2484	184	4	)	)	PUNCT
cana-2484	184	5	503	503	NUM
cana-2484	184	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2484	185	1	the	the	DET
cana-2484	185	2	cnn	cnn	PROPN
cana-2484	185	3	is	be	AUX
cana-2484	185	4	trained	train	VERB
cana-2484	185	5	using	use	VERB
cana-2484	185	6	the	the	DET
cana-2484	185	7	cross	cross	ADJ
cana-2484	185	8	-	-	ADJ
cana-2484	185	9	entropy	entropy	ADJ
cana-2484	185	10	loss	loss	NOUN
cana-2484	185	11	function	function	NOUN
cana-2484	185	12	for	for	ADP
cana-2484	185	13	classification	classification	NOUN
cana-2484	185	14	:	:	PUNCT
cana-2484	185	15	𝐿	𝐿	PROPN
cana-2484	185	16	=	=	SYM
cana-2484	186	1	−	−	PROPN
cana-2484	186	2	∑	∑	PROPN
cana-2484	186	3	𝑁	𝑁	PROPN
cana-2484	186	4	𝑖=1	𝑖=1	PROPN
cana-2484	186	5	𝑦𝑖𝑙𝑜𝑔(	𝑦𝑖𝑙𝑜𝑔(	ADJ
cana-2484	186	6	�	�	PROPN
cana-2484	186	7	̂	̂	VERB
cana-2484	186	8	�	�	NOUN
cana-2484	186	9	𝑖	𝑖	NUM
cana-2484	186	10	)	)	PUNCT
cana-2484	186	11	where	where	SCONJ
cana-2484	186	12	,	,	PUNCT
cana-2484	186	13	𝑦𝑖	𝑦𝑖	PROPN
cana-2484	186	14	is	be	AUX
cana-2484	186	15	the	the	DET
cana-2484	186	16	true	true	ADJ
cana-2484	186	17	label	label	NOUN
cana-2484	186	18	and	and	CCONJ
cana-2484	186	19	�	�	PROPN
cana-2484	186	20	̂	̂	VERB
cana-2484	186	21	�	�	NOUN
cana-2484	186	22	𝑖	𝑖	NOUN
cana-2484	186	23	is	be	AUX
cana-2484	186	24	the	the	DET
cana-2484	186	25	predicted	predict	VERB
cana-2484	186	26	probability	probability	NOUN
cana-2484	186	27	for	for	ADP
cana-2484	186	28	class	class	NOUN
cana-2484	186	29	𝑖.	𝑖.	ADJ
cana-2484	186	30	●	●	PUNCT
cana-2484	186	31	decision	decision	NOUN
cana-2484	186	32	support	support	NOUN
cana-2484	186	33	fuzzy	fuzzy	ADJ
cana-2484	186	34	logic	logic	NOUN
cana-2484	186	35	system	system	NOUN
cana-2484	186	36	:	:	PUNCT
cana-2484	186	37	for	for	ADP
cana-2484	186	38	example	example	NOUN
cana-2484	186	39	,	,	PUNCT
cana-2484	186	40	while	while	SCONJ
cana-2484	186	41	deep	deep	ADJ
cana-2484	186	42	learning	learning	NOUN
cana-2484	186	43	models	model	NOUN
cana-2484	186	44	have	have	AUX
cana-2484	186	45	proven	prove	VERB
cana-2484	186	46	accurate	accurate	ADJ
cana-2484	186	47	,	,	PUNCT
cana-2484	186	48	they	they	PRON
cana-2484	186	49	generally	generally	ADV
cana-2484	186	50	lack	lack	VERB
cana-2484	186	51	interpretability	interpretability	NOUN
cana-2484	186	52	.	.	PUNCT
cana-2484	187	1	this	this	PRON
cana-2484	187	2	is	be	AUX
cana-2484	187	3	where	where	SCONJ
cana-2484	187	4	the	the	DET
cana-2484	187	5	fuzzy	fuzzy	ADJ
cana-2484	187	6	logic	logic	NOUN
cana-2484	187	7	comes	come	VERB
cana-2484	187	8	into	into	ADP
cana-2484	187	9	play	play	NOUN
cana-2484	187	10	managing	manage	VERB
cana-2484	187	11	uncertainty	uncertainty	NOUN
cana-2484	187	12	and	and	CCONJ
cana-2484	187	13	ambiguity	ambiguity	NOUN
cana-2484	187	14	about	about	ADP
cana-2484	187	15	borderline	borderline	NOUN
cana-2484	187	16	cases	case	NOUN
cana-2484	187	17	or	or	CCONJ
cana-2484	187	18	different	different	ADJ
cana-2484	187	19	stages	stage	NOUN
cana-2484	187	20	in	in	ADP
cana-2484	187	21	severity	severity	NOUN
cana-2484	187	22	of	of	ADP
cana-2484	187	23	the	the	DET
cana-2484	187	24	disease	disease	NOUN
cana-2484	187	25	.	.	PUNCT
cana-2484	188	1	communications	communication	NOUN
cana-2484	188	2	on	on	ADP
cana-2484	188	3	applied	apply	VERB
cana-2484	188	4	nonlinear	nonlinear	ADJ
cana-2484	188	5	analysis	analysis	NOUN
cana-2484	188	6	issn	issn	NOUN
cana-2484	188	7	:	:	PUNCT
cana-2484	188	8	1074	1074	NUM
cana-2484	188	9	-	-	PUNCT
cana-2484	188	10	133x	133x	NUM
cana-2484	188	11	vol	vol	NOUN
cana-2484	188	12	32	32	NUM
cana-2484	188	13	no	no	NOUN
cana-2484	188	14	.	.	PUNCT
cana-2484	189	1	2s	2s	NUM
cana-2484	189	2	(	(	PUNCT
cana-2484	189	3	2025	2025	NUM
cana-2484	189	4	)	)	PUNCT
cana-2484	189	5	504	504	NUM
cana-2484	189	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2484	189	7	fuzzification	fuzzification	NOUN
cana-2484	189	8	:	:	PUNCT
cana-2484	189	9	for	for	ADP
cana-2484	189	10	example	example	NOUN
cana-2484	189	11	,	,	PUNCT
cana-2484	189	12	crisp	crisp	ADJ
cana-2484	189	13	inputs	input	NOUN
cana-2484	189	14	(	(	PUNCT
cana-2484	189	15	e.g.	e.g.	ADV
cana-2484	189	16	,	,	PUNCT
cana-2484	189	17	cup	cup	NOUN
cana-2484	189	18	:	:	PUNCT
cana-2484	189	19	disc	disc	NOUN
cana-2484	189	20	ratio	ratio	NOUN
cana-2484	189	21	for	for	ADP
cana-2484	189	22	glaucoma	glaucoma	NOUN
cana-2484	189	23	and	and	CCONJ
cana-2484	189	24	microaneurysms	microaneurysm	NOUN
cana-2484	189	25	count	count	VERB
cana-2484	189	26	for	for	ADP
cana-2484	189	27	dr	dr	PROPN
cana-2484	189	28	)	)	PUNCT
cana-2484	189	29	are	be	AUX
cana-2484	189	30	transformed	transform	VERB
cana-2484	189	31	into	into	ADP
cana-2484	189	32	fuzzy	fuzzy	ADJ
cana-2484	189	33	sets	set	NOUN
cana-2484	189	34	like	like	ADP
cana-2484	189	35	“	"	PUNCT
cana-2484	189	36	low	low	ADJ
cana-2484	189	37	”	"	PUNCT
cana-2484	189	38	,	,	PUNCT
cana-2484	189	39	“	"	PUNCT
cana-2484	189	40	medium	medium	ADJ
cana-2484	189	41	”	"	PUNCT
cana-2484	189	42	and	and	CCONJ
cana-2484	189	43	“	"	PUNCT
cana-2484	189	44	high	high	ADJ
cana-2484	189	45	”	"	PUNCT
cana-2484	189	46	.	.	PUNCT
cana-2484	190	1	a	a	DET
cana-2484	190	2	fuzzy	fuzzy	ADJ
cana-2484	190	3	membership	membership	NOUN
cana-2484	190	4	function	function	NOUN
cana-2484	190	5	for	for	ADP
cana-2484	190	6	the	the	DET
cana-2484	190	7	cup	cup	NOUN
cana-2484	190	8	-	-	PUNCT
cana-2484	190	9	to	to	ADP
cana-2484	190	10	-	-	PUNCT
cana-2484	190	11	disc	disc	NOUN
cana-2484	190	12	ratio	ratio	NOUN
cana-2484	190	13	might	might	AUX
cana-2484	190	14	look	look	VERB
cana-2484	190	15	like	like	ADP
cana-2484	190	16	this	this	PRON
cana-2484	190	17	:	:	PUNCT
cana-2484	190	18	𝜇𝑙𝑜𝑤(𝑥	𝜇𝑙𝑜𝑤(𝑥	NOUN
cana-2484	190	19	)	)	PUNCT
cana-2484	190	20	=	=	SYM
cana-2484	190	21	{	{	PUNCT
cana-2484	190	22	1	1	NUM
cana-2484	190	23	,	,	PUNCT
cana-2484	190	24	𝑖𝑓	𝑖𝑓	ADP
cana-2484	190	25	𝑥	𝑥	NOUN
cana-2484	190	26	≤	≤	NUM
cana-2484	191	1	𝑎	𝑎	PRON
cana-2484	191	2	𝑏	𝑏	NOUN
cana-2484	191	3	−	−	NOUN
cana-2484	191	4	𝑥	𝑥	NOUN
cana-2484	191	5	𝑏	𝑏	NOUN
cana-2484	191	6	−	−	PROPN
cana-2484	191	7	𝑎	𝑎	NOUN
cana-2484	191	8	,	,	PUNCT
cana-2484	191	9	𝑖𝑓	𝑖𝑓	ADP
cana-2484	191	10	𝑎	𝑎	X
cana-2484	191	11	<	<	X
cana-2484	191	12	𝑥	𝑥	X
cana-2484	191	13	<	<	X
cana-2484	191	14	𝑏	𝑏	PROPN
cana-2484	191	15	0	0	NUM
cana-2484	191	16	,	,	PUNCT
cana-2484	191	17	𝑖𝑓	𝑖𝑓	ADP
cana-2484	191	18	𝑥	𝑥	DET
cana-2484	191	19	≥	≥	NOUN
cana-2484	192	1	𝑏	𝑏	DET
cana-2484	192	2	rules	rule	VERB
cana-2484	192	3	express	express	VERB
cana-2484	192	4	expertise	expertise	NOUN
cana-2484	192	5	(	(	PUNCT
cana-2484	192	6	e.g.	e.g.	ADV
cana-2484	192	7	rugby	rugby	NOUN
cana-2484	192	8	,	,	PUNCT
cana-2484	192	9	like	like	ADP
cana-2484	192	10	anything	anything	PRON
cana-2484	192	11	coming	come	VERB
cana-2484	192	12	out	out	ADP
cana-2484	192	13	of	of	ADP
cana-2484	192	14	new	new	PROPN
cana-2484	192	15	zealand	zealand	PROPN
cana-2484	192	16	in	in	ADP
cana-2484	192	17	the	the	DET
cana-2484	192	18	distant	distant	ADJ
cana-2484	192	19	past	past	NOUN
cana-2484	192	20	)	)	PUNCT
cana-2484	192	21	rule	rule	NOUN
cana-2484	192	22	1	1	NUM
cana-2484	192	23	:	:	PUNCT
cana-2484	192	24	if	if	SCONJ
cana-2484	192	25	“	"	PUNCT
cana-2484	192	26	cup	cup	NOUN
cana-2484	192	27	-	-	PUNCT
cana-2484	192	28	to	to	ADP
cana-2484	192	29	-	-	PUNCT
cana-2484	192	30	disc	disc	NOUN
cana-2484	192	31	ratio	ratio	NOUN
cana-2484	192	32	”	"	PUNCT
cana-2484	192	33	=	=	ADJ
cana-2484	192	34	“	"	PUNCT
cana-2484	192	35	high	high	ADJ
cana-2484	192	36	,	,	PUNCT
cana-2484	192	37	”	"	PUNCT
cana-2484	192	38	and	and	CCONJ
cana-2484	192	39	“	"	PUNCT
cana-2484	192	40	iop”=	iop”=	NOUN
cana-2484	192	41	“	"	PUNCT
cana-2484	192	42	high	high	ADJ
cana-2484	192	43	”	"	PUNCT
cana-2484	192	44	)	)	PUNCT
cana-2484	192	45	then	then	ADV
cana-2484	192	46	glaucoma	glaucoma	NOUN
cana-2484	192	47	likely	likely	ADV
cana-2484	192	48	rule	rule	VERB
cana-2484	192	49	2	2	NUM
cana-2484	192	50	:	:	PUNCT
cana-2484	192	51	if	if	SCONJ
cana-2484	192	52	“	"	PUNCT
cana-2484	192	53	micro	micro	ADJ
cana-2484	192	54	neuron	neuron	PROPN
cana-2484	192	55	system	system	NOUN
cana-2484	192	56	count	count	NOUN
cana-2484	192	57	”	"	PUNCT
cana-2484	192	58	is	be	AUX
cana-2484	192	59	not	not	PART
cana-2484	192	60	very	very	ADV
cana-2484	192	61	mild	mild	ADJ
cana-2484	192	62	and	and	CCONJ
cana-2484	192	63	“	"	PUNCT
cana-2484	192	64	hemorrages	hemorrage	NOUN
cana-2484	192	65	present	present	ADJ
cana-2484	192	66	”	"	PUNCT
cana-2484	192	67	then	then	ADV
cana-2484	192	68	“	"	PUNCT
cana-2484	192	69	moderate	moderate	PROPN
cana-2484	192	70	dr	dr	PROPN
cana-2484	192	71	”	"	PUNCT
cana-2484	192	72	.	.	PUNCT
cana-2484	193	1	inference	inference	NOUN
cana-2484	193	2	engine	engine	NOUN
cana-2484	193	3	:	:	PUNCT
cana-2484	193	4	in	in	ADP
cana-2484	193	5	this	this	DET
cana-2484	193	6	type	type	NOUN
cana-2484	193	7	of	of	ADP
cana-2484	193	8	subtractive	subtractive	NOUN
cana-2484	193	9	method	method	NOUN
cana-2484	193	10	,	,	PUNCT
cana-2484	193	11	subscription	subscription	NOUN
cana-2484	193	12	uses	use	VERB
cana-2484	193	13	a	a	DET
cana-2484	193	14	fuzzy	fuzzy	ADJ
cana-2484	193	15	inference	inference	NOUN
cana-2484	193	16	engine	engine	NOUN
cana-2484	193	17	in	in	ADP
cana-2484	193	18	which	which	PRON
cana-2484	193	19	it	it	PRON
cana-2484	193	20	evaluates	evaluate	VERB
cana-2484	193	21	all	all	DET
cana-2484	193	22	the	the	DET
cana-2484	193	23	rules	rule	NOUN
cana-2484	193	24	and	and	CCONJ
cana-2484	193	25	merges	merge	VERB
cana-2484	193	26	them	they	PRON
cana-2484	193	27	to	to	PART
cana-2484	193	28	make	make	VERB
cana-2484	193	29	outputs	output	NOUN
cana-2484	193	30	as	as	ADP
cana-2484	193	31	fuzzified	fuzzifie	VERB
cana-2484	193	32	outputs	output	NOUN
cana-2484	193	33	.	.	PUNCT
cana-2484	194	1	defuzzification	defuzzification	NOUN
cana-2484	194	2	:	:	PUNCT
cana-2484	194	3	this	this	PRON
cana-2484	194	4	allows	allow	VERB
cana-2484	194	5	to	to	PART
cana-2484	194	6	convert	convert	VERB
cana-2484	194	7	the	the	DET
cana-2484	194	8	fuzzy	fuzzy	ADJ
cana-2484	194	9	sets	set	NOUN
cana-2484	194	10	back	back	ADP
cana-2484	194	11	to	to	ADP
cana-2484	194	12	crisp	crisp	ADJ
cana-2484	194	13	values	value	NOUN
cana-2484	194	14	taking	take	VERB
cana-2484	194	15	the	the	DET
cana-2484	194	16	centroid	centroid	NOUN
cana-2484	194	17	of	of	ADP
cana-2484	194	18	all	all	DET
cana-2484	194	19	output	output	NOUN
cana-2484	194	20	functions	function	NOUN
cana-2484	194	21	and	and	CCONJ
cana-2484	194	22	hence	hence	ADV
cana-2484	194	23	gives	give	VERB
cana-2484	194	24	us	we	PRON
cana-2484	194	25	a	a	DET
cana-2484	194	26	final	final	ADJ
cana-2484	194	27	classification	classification	NOUN
cana-2484	194	28	as	as	ADP
cana-2484	194	29	per	per	ADP
cana-2484	194	30	equation	equation	NOUN
cana-2484	194	31	4	4	NUM
cana-2484	194	32	.	.	PUNCT
cana-2484	195	1	𝑧	𝑧	X
cana-2484	196	1	=	=	PUNCT
cana-2484	196	2	∑	∑	PUNCT
cana-2484	196	3	𝑛	𝑛	PRON
cana-2484	196	4	𝑖=1	𝑖=1	PROPN
cana-2484	196	5	𝜇(𝑥𝑖	𝜇(𝑥𝑖	PROPN
cana-2484	196	6	)	)	PUNCT
cana-2484	196	7	⋅	⋅	PROPN
cana-2484	196	8	𝑥𝑖	𝑥𝑖	PROPN
cana-2484	196	9	∑	∑	DET
cana-2484	196	10	𝑛	𝑛	PRON
cana-2484	196	11	𝑖=1	𝑖=1	PROPN
cana-2484	196	12	𝜇(𝑥𝑖	𝜇(𝑥𝑖	PROPN
cana-2484	196	13	)	)	PUNCT
cana-2484	196	14	●	●	NUM
cana-2484	196	15	cnn	cnn	NOUN
cana-2484	196	16	and	and	CCONJ
cana-2484	196	17	fuzzy	fuzzy	ADJ
cana-2484	196	18	logic	logic	NOUN
cana-2484	196	19	combination	combination	NOUN
cana-2484	196	20	this	this	DET
cana-2484	196	21	integration	integration	NOUN
cana-2484	196	22	requires	require	VERB
cana-2484	196	23	the	the	DET
cana-2484	196	24	cnn	cnn	PROPN
cana-2484	196	25	as	as	ADP
cana-2484	196	26	a	a	DET
cana-2484	196	27	feature	feature	NOUN
cana-2484	196	28	extractor	extractor	NOUN
cana-2484	196	29	to	to	PART
cana-2484	196	30	be	be	AUX
cana-2484	196	31	used	use	VERB
cana-2484	196	32	which	which	PRON
cana-2484	196	33	are	be	AUX
cana-2484	196	34	further	far	ADV
cana-2484	196	35	refined	refine	VERB
cana-2484	196	36	and	and	CCONJ
cana-2484	196	37	interpreted	interpret	VERB
cana-2484	196	38	by	by	ADP
cana-2484	196	39	the	the	DET
cana-2484	196	40	fuzzy	fuzzy	ADJ
cana-2484	196	41	logic	logic	NOUN
cana-2484	196	42	system	system	NOUN
cana-2484	196	43	to	to	PART
cana-2484	196	44	generate	generate	VERB
cana-2484	196	45	more	more	ADV
cana-2484	196	46	precise	precise	ADJ
cana-2484	196	47	diagnostic	diagnostic	ADJ
cana-2484	196	48	readings	reading	NOUN
cana-2484	196	49	.	.	PUNCT
cana-2484	197	1	the	the	DET
cana-2484	197	2	steps	step	NOUN
cana-2484	197	3	include	include	VERB
cana-2484	197	4	:	:	PUNCT
cana-2484	197	5	o	o	NOUN
cana-2484	197	6	step	step	NOUN
cana-2484	197	7	1	1	NUM
cana-2484	197	8	:	:	PUNCT
cana-2484	197	9	image	image	NOUN
cana-2484	197	10	in	in	ADP
cana-2484	197	11	:	:	PUNCT
cana-2484	197	12	send	send	VERB
cana-2484	197	13	an	an	DET
cana-2484	197	14	image	image	NOUN
cana-2484	197	15	to	to	ADP
cana-2484	197	16	the	the	DET
cana-2484	197	17	cnn	cnn	PROPN
cana-2484	197	18	,	,	PUNCT
cana-2484	197	19	extract	extract	VERB
cana-2484	197	20	features	feature	NOUN
cana-2484	197	21	like	like	ADP
cana-2484	197	22	optic	optic	ADJ
cana-2484	197	23	cup	cup	NOUN
cana-2484	197	24	-	-	PUNCT
cana-2484	197	25	to	to	ADP
cana-2484	197	26	-	-	PUNCT
cana-2484	197	27	disc	disc	NOUN
cana-2484	197	28	ratio	ratio	NOUN
cana-2484	197	29	,	,	PUNCT
cana-2484	197	30	hemorrage	hemorrage	NOUN
cana-2484	197	31	present	present	ADJ
cana-2484	197	32	and	and	CCONJ
cana-2484	197	33	micro	micro	PROPN
cana-2484	197	34	neuro	neuro	PROPN
cana-2484	197	35	system	system	NOUN
cana-2484	197	36	count	count	NOUN
cana-2484	197	37	.	.	PUNCT
cana-2484	198	1	o	o	NOUN
cana-2484	198	2	step	step	NOUN
cana-2484	198	3	2	2	NUM
cana-2484	198	4	:	:	PUNCT
cana-2484	198	5	plug	plug	VERB
cana-2484	198	6	these	these	DET
cana-2484	198	7	features	feature	NOUN
cana-2484	198	8	into	into	ADP
cana-2484	198	9	the	the	DET
cana-2484	198	10	fuzzy	fuzzy	ADJ
cana-2484	198	11	logic	logic	NOUN
cana-2484	198	12	system	system	NOUN
cana-2484	198	13	.	.	PUNCT
cana-2484	199	1	o	o	X
cana-2484	200	1	step-3	step-3	NUM
cana-2484	200	2	:	:	PUNCT
cana-2484	200	3	use	use	VERB
cana-2484	200	4	fuzzy	fuzzy	ADJ
cana-2484	200	5	rules	rule	NOUN
cana-2484	200	6	and	and	CCONJ
cana-2484	200	7	get	get	VERB
cana-2484	200	8	interpretable	interpretable	ADJ
cana-2484	200	9	explanations	explanation	NOUN
cana-2484	200	10	to	to	PART
cana-2484	200	11	make	make	VERB
cana-2484	200	12	final	final	ADJ
cana-2484	200	13	diagnosis	diagnosis	NOUN
cana-2484	200	14	.	.	PUNCT
cana-2484	201	1	communications	communication	NOUN
cana-2484	201	2	on	on	ADP
cana-2484	201	3	applied	apply	VERB
cana-2484	201	4	nonlinear	nonlinear	ADJ
cana-2484	201	5	analysis	analysis	NOUN
cana-2484	201	6	issn	issn	NOUN
cana-2484	201	7	:	:	PUNCT
cana-2484	201	8	1074	1074	NUM
cana-2484	201	9	-	-	PUNCT
cana-2484	201	10	133x	133x	NUM
cana-2484	201	11	vol	vol	NOUN
cana-2484	201	12	32	32	NUM
cana-2484	201	13	no	no	NOUN
cana-2484	201	14	.	.	PUNCT
cana-2484	202	1	2s	2s	NUM
cana-2484	202	2	(	(	PUNCT
cana-2484	202	3	2025	2025	NUM
cana-2484	202	4	)	)	PUNCT
cana-2484	202	5	505	505	NUM
cana-2484	202	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2484	202	7	●	●	NUM
cana-2484	202	8	evaluation	evaluation	NOUN
cana-2484	202	9	metrics	metric	NOUN
cana-2484	202	10	and	and	CCONJ
cana-2484	202	11	validation	validation	NOUN
cana-2484	202	12	the	the	DET
cana-2484	202	13	performance	performance	NOUN
cana-2484	202	14	of	of	ADP
cana-2484	202	15	the	the	DET
cana-2484	202	16	proposed	propose	VERB
cana-2484	202	17	system	system	NOUN
cana-2484	202	18	is	be	AUX
cana-2484	202	19	evaluated	evaluate	VERB
cana-2484	202	20	using	use	VERB
cana-2484	202	21	multiple	multiple	ADJ
cana-2484	202	22	metrics	metric	NOUN
cana-2484	202	23	:	:	PUNCT
cana-2484	202	24	accuracy	accuracy	NOUN
cana-2484	202	25	:	:	PUNCT
cana-2484	202	26	overall	overall	ADJ
cana-2484	202	27	percentage	percentage	NOUN
cana-2484	202	28	of	of	ADP
cana-2484	202	29	correct	correct	ADJ
cana-2484	202	30	predictions	prediction	NOUN
cana-2484	202	31	.	.	PUNCT
cana-2484	203	1	𝐴𝑐𝑐𝑢𝑟𝑎𝑐𝑦	𝐴𝑐𝑐𝑢𝑟𝑎𝑐𝑦	PROPN
cana-2484	203	2	=	=	PUNCT
cana-2484	203	3	𝑇𝑃	𝑇𝑃	PROPN
cana-2484	203	4	+	+	CCONJ
cana-2484	203	5	𝑇𝑁	𝑇𝑁	PROPN
cana-2484	203	6	𝑇𝑃	𝑇𝑃	PROPN
cana-2484	203	7	+	+	CCONJ
cana-2484	203	8	𝑇𝑁	𝑇𝑁	PROPN
cana-2484	203	9	+	+	NUM
cana-2484	203	10	𝐹𝑃	𝐹𝑃	NOUN
cana-2484	204	1	+	+	CCONJ
cana-2484	204	2	𝐹𝑁	𝐹𝑁	PROPN
cana-2484	204	3	sensitivity	sensitivity	NOUN
cana-2484	204	4	:	:	PUNCT
cana-2484	204	5	measures	measure	VERB
cana-2484	204	6	the	the	DET
cana-2484	204	7	system	system	NOUN
cana-2484	204	8	's	's	PART
cana-2484	204	9	ability	ability	NOUN
cana-2484	204	10	to	to	PART
cana-2484	204	11	correctly	correctly	ADV
cana-2484	204	12	detect	detect	VERB
cana-2484	204	13	diseased	diseased	ADJ
cana-2484	204	14	cases	case	NOUN
cana-2484	204	15	.	.	PUNCT
cana-2484	205	1	𝑆𝑒𝑛𝑠𝑖𝑡𝑖𝑣𝑖𝑡𝑦	𝑆𝑒𝑛𝑠𝑖𝑡𝑖𝑣𝑖𝑡𝑦	PROPN
cana-2484	205	2	=	=	SYM
cana-2484	205	3	𝑇𝑃	𝑇𝑃	PROPN
cana-2484	205	4	𝑇𝑃	𝑇𝑃	NOUN
cana-2484	205	5	+	+	CCONJ
cana-2484	205	6	𝐹𝑁	𝐹𝑁	PROPN
cana-2484	205	7	metric	metric	ADJ
cana-2484	205	8	cnn	cnn	PROPN
cana-2484	205	9	only	only	ADV
cana-2484	205	10	cnn	cnn	PROPN
cana-2484	205	11	+	+	CCONJ
cana-2484	205	12	fuzzy	fuzzy	ADJ
cana-2484	205	13	logic	logic	NOUN
cana-2484	205	14	accuracy	accuracy	NOUN
cana-2484	205	15	(	(	PUNCT
cana-2484	205	16	%	%	NOUN
cana-2484	205	17	)	)	PUNCT
cana-2484	205	18	85	85	NUM
cana-2484	205	19	92	92	NUM
cana-2484	205	20	sensitivity	sensitivity	NOUN
cana-2484	205	21	(	(	PUNCT
cana-2484	205	22	%	%	NOUN
cana-2484	205	23	)	)	PUNCT
cana-2484	205	24	88	88	NUM
cana-2484	205	25	94	94	NUM
cana-2484	205	26	specificity	specificity	NOUN
cana-2484	205	27	(	(	PUNCT
cana-2484	205	28	%	%	NOUN
cana-2484	205	29	)	)	PUNCT
cana-2484	205	30	82	82	NUM
cana-2484	205	31	90	90	NUM
cana-2484	205	32	●	●	NUM
cana-2484	205	33	deployment	deployment	NOUN
cana-2484	205	34	lastly	lastly	ADV
cana-2484	205	35	,	,	PUNCT
cana-2484	205	36	deploy	deploy	VERB
cana-2484	205	37	the	the	DET
cana-2484	205	38	model	model	NOUN
cana-2484	205	39	within	within	ADP
cana-2484	205	40	an	an	DET
cana-2484	205	41	operational	operational	ADJ
cana-2484	205	42	clinical	clinical	ADJ
cana-2484	205	43	environment	environment	NOUN
cana-2484	205	44	.	.	PUNCT
cana-2484	206	1	the	the	DET
cana-2484	206	2	fuzzy	fuzzy	ADJ
cana-2484	206	3	logic	logic	NOUN
cana-2484	206	4	system	system	NOUN
cana-2484	206	5	provides	provide	VERB
cana-2484	206	6	ophthalmologists	ophthalmologist	NOUN
cana-2484	206	7	a	a	DET
cana-2484	206	8	diagnosis	diagnosis	NOUN
cana-2484	206	9	with	with	ADP
cana-2484	206	10	crisp	crisp	ADJ
cana-2484	206	11	descriptions	description	NOUN
cana-2484	206	12	and	and	CCONJ
cana-2484	206	13	simple	simple	ADJ
cana-2484	206	14	user	user	NOUN
cana-2484	206	15	interface	interface	NOUN
cana-2484	206	16	while	while	SCONJ
cana-2484	206	17	uploading	upload	VERB
cana-2484	206	18	retinal	retinal	ADJ
cana-2484	206	19	images	image	NOUN
cana-2484	206	20	.	.	PUNCT
cana-2484	207	1	deployment	deployment	NOUN
cana-2484	207	2	involves	involve	NOUN
cana-2484	207	3	:	:	PUNCT
cana-2484	207	4	exporting	export	VERB
cana-2484	207	5	of	of	ADP
cana-2484	207	6	the	the	DET
cana-2484	207	7	model	model	NOUN
cana-2484	207	8	:	:	PUNCT
cana-2484	207	9	the	the	DET
cana-2484	207	10	trained	train	VERB
cana-2484	207	11	cnn	cnn	PROPN
cana-2484	207	12	and	and	CCONJ
cana-2484	207	13	fuzzy	fuzzy	ADJ
cana-2484	207	14	logic	logic	NOUN
cana-2484	207	15	system	system	NOUN
cana-2484	207	16	is	be	AUX
cana-2484	207	17	exported	export	VERB
cana-2484	207	18	as	as	ADP
cana-2484	207	19	an	an	DET
cana-2484	207	20	api	api	NOUN
cana-2484	207	21	.	.	PUNCT
cana-2484	208	1	it	it	PRON
cana-2484	208	2	is	be	AUX
cana-2484	208	3	a	a	DET
cana-2484	208	4	trained	train	VERB
cana-2484	208	5	model	model	NOUN
cana-2484	208	6	whose	whose	DET
cana-2484	208	7	use	use	NOUN
cana-2484	208	8	was	be	AUX
cana-2484	208	9	facilitated	facilitate	VERB
cana-2484	208	10	with	with	ADP
cana-2484	208	11	a	a	DET
cana-2484	208	12	web	web	NOUN
cana-2484	208	13	interface	interface	NOUN
cana-2484	208	14	created	create	VERB
cana-2484	208	15	to	to	ADP
cana-2484	208	16	input	input	NOUN
cana-2484	208	17	images	image	NOUN
cana-2484	208	18	and	and	CCONJ
cana-2484	208	19	receive	receive	VERB
cana-2484	208	20	diagnosis	diagnosis	NOUN
cana-2484	208	21	on	on	ADP
cana-2484	208	22	the	the	DET
cana-2484	208	23	go	go	NOUN
cana-2484	208	24	.	.	PUNCT
cana-2484	209	1	this	this	DET
cana-2484	209	2	workflow	workflow	NOUN
cana-2484	209	3	describes	describe	VERB
cana-2484	209	4	a	a	DET
cana-2484	209	5	strong	strong	ADJ
cana-2484	209	6	process	process	NOUN
cana-2484	209	7	to	to	PART
cana-2484	209	8	fuse	fuse	VERB
cana-2484	209	9	deep	deep	ADJ
cana-2484	209	10	learning	learning	NOUN
cana-2484	209	11	with	with	ADP
cana-2484	209	12	fuzzy	fuzzy	ADJ
cana-2484	209	13	logic	logic	NOUN
cana-2484	209	14	for	for	ADP
cana-2484	209	15	the	the	DET
cana-2484	209	16	speedy	speedy	NOUN
cana-2484	209	17	i	i	PROPN
cana-2484	209	18	d	d	PROPN
cana-2484	209	19	of	of	ADP
cana-2484	209	20	glaucoma	glaucoma	NOUN
cana-2484	209	21	and	and	CCONJ
cana-2484	209	22	diabetic	diabetic	ADJ
cana-2484	209	23	retinopathy	retinopathy	NOUN
cana-2484	209	24	.	.	PUNCT
cana-2484	210	1	the	the	DET
cana-2484	210	2	system	system	NOUN
cana-2484	210	3	provided	provide	VERB
cana-2484	210	4	high	high	ADJ
cana-2484	210	5	diagnostic	diagnostic	ADJ
cana-2484	210	6	assistance	assistance	NOUN
cana-2484	210	7	and	and	CCONJ
cana-2484	210	8	accuracy	accuracy	NOUN
cana-2484	210	9	due	due	ADP
cana-2484	210	10	to	to	ADP
cana-2484	210	11	the	the	DET
cana-2484	210	12	effective	effective	ADJ
cana-2484	210	13	combination	combination	NOUN
cana-2484	210	14	of	of	ADP
cana-2484	210	15	feature	feature	NOUN
cana-2484	210	16	extraction	extraction	NOUN
cana-2484	210	17	capabilities	capability	NOUN
cana-2484	210	18	of	of	ADP
cana-2484	210	19	cnns	cnn	NOUN
cana-2484	210	20	and	and	CCONJ
cana-2484	210	21	interpretability	interpretability	NOUN
cana-2484	210	22	derived	derive	VERB
cana-2484	210	23	through	through	ADP
cana-2484	210	24	fuzzy	fuzzy	ADJ
cana-2484	210	25	logic	logic	NOUN
cana-2484	210	26	which	which	PRON
cana-2484	210	27	takes	take	VERB
cana-2484	210	28	into	into	ADP
cana-2484	210	29	account	account	NOUN
cana-2484	210	30	the	the	DET
cana-2484	210	31	technical	technical	ADJ
cana-2484	210	32	(	(	PUNCT
cana-2484	210	33	feature	feature	NOUN
cana-2484	210	34	engineering	engineering	NOUN
cana-2484	210	35	)	)	PUNCT
cana-2484	210	36	as	as	ADV
cana-2484	210	37	well	well	ADV
cana-2484	210	38	as	as	ADP
cana-2484	210	39	clinical	clinical	ADJ
cana-2484	210	40	(	(	PUNCT
cana-2484	210	41	disease	disease	NOUN
cana-2484	210	42	based	base	VERB
cana-2484	210	43	manifestation	manifestation	NOUN
cana-2484	210	44	)	)	PUNCT
cana-2484	210	45	complexities	complexity	NOUN
cana-2484	210	46	in	in	ADP
cana-2484	210	47	these	these	DET
cana-2484	210	48	ocular	ocular	ADJ
cana-2484	210	49	diseases	disease	NOUN
cana-2484	210	50	.	.	PUNCT
cana-2484	211	1	communications	communication	NOUN
cana-2484	211	2	on	on	ADP
cana-2484	211	3	applied	apply	VERB
cana-2484	211	4	nonlinear	nonlinear	ADJ
cana-2484	211	5	analysis	analysis	NOUN
cana-2484	211	6	issn	issn	NOUN
cana-2484	211	7	:	:	PUNCT
cana-2484	211	8	1074	1074	NUM
cana-2484	211	9	-	-	PUNCT
cana-2484	211	10	133x	133x	NUM
cana-2484	211	11	vol	vol	NOUN
cana-2484	211	12	32	32	NUM
cana-2484	211	13	no	no	NOUN
cana-2484	211	14	.	.	PUNCT
cana-2484	212	1	2s	2s	NUM
cana-2484	212	2	(	(	PUNCT
cana-2484	212	3	2025	2025	NUM
cana-2484	212	4	)	)	PUNCT
cana-2484	212	5	506	506	NUM
cana-2484	212	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-2484	212	7	trained	train	VERB
cana-2484	212	8	modelthis	modelthis	PROPN
cana-2484	212	9	starts	start	VERB
cana-2484	212	10	with	with	ADP
cana-2484	212	11	the	the	DET
cana-2484	212	12	already	already	ADV
cana-2484	212	13	trained	train	VERB
cana-2484	212	14	model	model	NOUN
cana-2484	212	15	which	which	PRON
cana-2484	212	16	combines	combine	VERB
cana-2484	212	17	cnn	cnn	PROPN
cana-2484	212	18	and	and	CCONJ
cana-2484	212	19	fuzzy	fuzzy	ADJ
cana-2484	212	20	logic	logic	NOUN
cana-2484	212	21	components	component	NOUN
cana-2484	212	22	.	.	PUNCT
cana-2484	213	1	deployment	deployment	NOUN
cana-2484	213	2	options	option	NOUN
cana-2484	213	3	:	:	PUNCT
cana-2484	213	4	offers	offer	VERB
cana-2484	213	5	two	two	NUM
cana-2484	213	6	main	main	ADJ
cana-2484	213	7	deployment	deployment	NOUN
cana-2484	213	8	options	option	NOUN
cana-2484	213	9	for	for	ADP
cana-2484	213	10	the	the	DET
cana-2484	213	11	model	model	NOUN
cana-2484	213	12	.	.	PUNCT
cana-2484	214	1	option	option	NOUN
cana-2484	214	2	1	1	NUM
cana-2484	214	3	:	:	PUNCT
cana-2484	214	4	cloud	cloud	NOUN
cana-2484	214	5	-	-	PUNCT
cana-2484	214	6	based	base	VERB
cana-2484	214	7	service	service	NOUN
cana-2484	214	8	step	step	NOUN
cana-2484	214	9	1	1	NUM
cana-2484	214	10	:	:	PUNCT
cana-2484	214	11	upload	upload	VERB
cana-2484	214	12	retinal	retinal	ADJ
cana-2484	214	13	imagesusers	imagesuser	NOUN
cana-2484	214	14	upload	upload	VERB
cana-2484	214	15	images	image	NOUN
cana-2484	214	16	to	to	ADP
cana-2484	214	17	a	a	DET
cana-2484	214	18	cloudavaidlble	cloudavaidlble	ADJ
cana-2484	214	19	platform	platform	NOUN
cana-2484	214	20	.	.	PUNCT
cana-2484	215	1	live	live	VERB
cana-2484	215	2	analysis	analysis	NOUN
cana-2484	215	3	:	:	PUNCT
cana-2484	215	4	the	the	DET
cana-2484	215	5	model	model	NOUN
cana-2484	215	6	is	be	AUX
cana-2484	215	7	deployed	deploy	VERB
cana-2484	215	8	on	on	ADP
cana-2484	215	9	a	a	DET
cana-2484	215	10	cloud	cloud	ADJ
cana-2484	215	11	server	server	NOUN
cana-2484	215	12	to	to	PART
cana-2484	215	13	analyze	analyze	VERB
cana-2484	215	14	the	the	DET
cana-2484	215	15	images	image	NOUN
cana-2484	215	16	,	,	PUNCT
cana-2484	215	17	live	live	ADJ
cana-2484	215	18	.	.	PUNCT
cana-2484	216	1	option	option	NOUN
cana-2484	216	2	2	2	NUM
cana-2484	216	3	:	:	PUNCT
cana-2484	216	4	standalone	standalone	ADJ
cana-2484	216	5	tool	tool	NOUN
cana-2484	216	6	deploy	deploy	VERB
cana-2484	216	7	in	in	ADP
cana-2484	216	8	clinics	clinic	NOUN
cana-2484	216	9	:	:	PUNCT
cana-2484	216	10	deploy	deploy	VERB
cana-2484	216	11	as	as	ADP
cana-2484	216	12	a	a	DET
cana-2484	216	13	standalone	standalone	ADJ
cana-2484	216	14	software	software	NOUN
cana-2484	216	15	tool	tool	NOUN
cana-2484	216	16	inside	inside	ADP
cana-2484	216	17	the	the	DET
cana-2484	216	18	clinic	clinic	NOUN
cana-2484	216	19	/	/	SYM
cana-2484	216	20	hospital	hospital	NOUN
cana-2484	216	21	.	.	PUNCT
cana-2484	217	1	interface	interface	NOUN
cana-2484	217	2	:	:	PUNCT
cana-2484	217	3	the	the	DET
cana-2484	217	4	user	user	NOUN
cana-2484	217	5	interface	interface	NOUN
cana-2484	217	6	should	should	AUX
cana-2484	217	7	facilitate	facilitate	VERB
cana-2484	217	8	the	the	DET
cana-2484	217	9	distribution	distribution	NOUN
cana-2484	217	10	of	of	ADP
cana-2484	217	11	images	image	NOUN
cana-2484	217	12	to	to	ADP
cana-2484	217	13	clinicians	clinician	NOUN
cana-2484	217	14	and	and	CCONJ
cana-2484	217	15	allow	allow	VERB
cana-2484	217	16	them	they	PRON
cana-2484	217	17	to	to	PART
cana-2484	217	18	view	view	VERB
cana-2484	217	19	diagnostic	diagnostic	ADJ
cana-2484	217	20	results	result	NOUN
cana-2484	217	21	.	.	PUNCT
cana-2484	218	1	system	system	NOUN
cana-2484	218	2	diagnosis	diagnosis	NOUN
cana-2484	218	3	output	output	NOUN
cana-2484	218	4	:	:	PUNCT
cana-2484	218	5	a	a	DET
cana-2484	218	6	diagnosis	diagnosis	NOUN
cana-2484	218	7	that	that	SCONJ
cana-2484	218	8	clinicians	clinician	NOUN
cana-2484	218	9	can	can	AUX
cana-2484	218	10	act	act	VERB
cana-2484	218	11	on	on	ADP
cana-2484	218	12	.	.	PUNCT
cana-2484	219	1	4	4	X
cana-2484	219	2	.	.	X
cana-2484	219	3	results	result	NOUN
cana-2484	219	4	:	:	PUNCT
cana-2484	219	5	●	●	PUNCT
cana-2484	219	6	performance	performance	NOUN
cana-2484	219	7	of	of	ADP
cana-2484	219	8	deep	deep	ADJ
cana-2484	219	9	learning	learning	NOUN
cana-2484	219	10	algorithms	algorithm	NOUN
cana-2484	219	11	in	in	ADP
cana-2484	219	12	glaucoma	glaucoma	NOUN
cana-2484	219	13	and	and	CCONJ
cana-2484	219	14	diabetic	diabetic	ADJ
cana-2484	219	15	retinopathy	retinopathy	ADJ
cana-2484	219	16	detection	detection	NOUN
cana-2484	219	17	methods	method	NOUN
cana-2484	219	18	:	:	PUNCT
cana-2484	219	19	the	the	DET
cana-2484	219	20	deep	deep	ADJ
cana-2484	219	21	neural	neural	ADJ
cana-2484	219	22	network	network	NOUN
cana-2484	219	23	(	(	PUNCT
cana-2484	219	24	dnn	dnn	PROPN
cana-2484	219	25	)	)	PUNCT
cana-2484	219	26	model	model	NOUN
cana-2484	219	27	was	be	AUX
cana-2484	219	28	highly	highly	ADV
cana-2484	219	29	effective	effective	ADJ
cana-2484	219	30	in	in	ADP
cana-2484	219	31	early	early	ADJ
cana-2484	219	32	glaucoma	glaucoma	NOUN
cana-2484	219	33	and	and	CCONJ
cana-2484	219	34	diabetic	diabetic	ADJ
cana-2484	219	35	retinopathy	retinopathy	ADJ
cana-2484	219	36	(	(	PUNCT
cana-2484	219	37	dr	dr	PROPN
cana-2484	219	38	)	)	PUNCT
cana-2484	219	39	,	,	PUNCT
cana-2484	219	40	the	the	DET
cana-2484	219	41	main	main	ADJ
cana-2484	219	42	causes	cause	NOUN
cana-2484	219	43	of	of	ADP
cana-2484	219	44	irreversible	irreversible	ADJ
cana-2484	219	45	blindness	blindness	NOUN
cana-2484	219	46	worldwide	worldwide	ADV
cana-2484	219	47	.	.	PUNCT
cana-2484	220	1	the	the	DET
cana-2484	220	2	model	model	NOUN
cana-2484	220	3	extracted	extract	VERB
cana-2484	220	4	relevant	relevant	ADJ
cana-2484	220	5	features	feature	NOUN
cana-2484	220	6	from	from	ADP
cana-2484	220	7	fundus	fundus	NOUN
cana-2484	220	8	photographs	photograph	NOUN
cana-2484	220	9	,	,	PUNCT
cana-2484	220	10	optical	optical	ADJ
cana-2484	220	11	coherence	coherence	NOUN
cana-2484	220	12	tomography	tomography	NOUN
cana-2484	220	13	(	(	PUNCT
cana-2484	220	14	oct	oct	NOUN
cana-2484	220	15	)	)	PUNCT
cana-2484	220	16	scans	scan	NOUN
cana-2484	220	17	using	use	VERB
cana-2484	220	18	advanced	advanced	ADJ
cana-2484	220	19	image	image	NOUN
cana-2484	220	20	recognition	recognition	NOUN
cana-2484	220	21	techniques	technique	NOUN
cana-2484	220	22	.	.	PUNCT
cana-2484	221	1	these	these	DET
cana-2484	221	2	images	image	NOUN
cana-2484	221	3	include	include	VERB
cana-2484	221	4	some	some	DET
cana-2484	221	5	important	important	ADJ
cana-2484	221	6	visual	visual	ADJ
cana-2484	221	7	symptoms	symptom	NOUN
cana-2484	221	8	like	like	ADP
cana-2484	221	9	cup	cup	NOUN
cana-2484	221	10	-	-	PUNCT
cana-2484	221	11	to	to	ADP
cana-2484	221	12	-	-	PUNCT
cana-2484	221	13	disc	disc	NOUN
cana-2484	221	14	ratio	ratio	NOUN
cana-2484	221	15	difference	difference	NOUN
cana-2484	221	16	indicative	indicative	ADJ
cana-2484	221	17	of	of	ADP
cana-2484	221	18	glaucoma	glaucoma	NOUN
cana-2484	221	19	and	and	CCONJ
cana-2484	221	20	the	the	DET
cana-2484	221	21	microaneurysm	microaneurysm	NOUN
cana-2484	221	22	presence	presence	NOUN
cana-2484	221	23	characteristic	characteristic	ADJ
cana-2484	221	24	of	of	ADP
cana-2484	221	25	dr	dr	PROPN
cana-2484	221	26	.	.	PROPN
cana-2484	222	1	the	the	DET
cana-2484	222	2	importance	importance	NOUN
cana-2484	222	3	of	of	ADP
cana-2484	222	4	the	the	DET
cana-2484	222	5	deep	deep	ADJ
cana-2484	222	6	convolutional	convolutional	ADJ
cana-2484	222	7	layers	layer	NOUN
cana-2484	222	8	in	in	ADP
cana-2484	222	9	a	a	DET
cana-2484	222	10	dnn	dnn	PROPN
cana-2484	222	11	architecture	architecture	NOUN
cana-2484	222	12	was	be	AUX
cana-2484	222	13	key	key	ADJ
cana-2484	222	14	to	to	PART
cana-2484	222	15	recognize	recognize	VERB
cana-2484	222	16	patterns	pattern	NOUN
cana-2484	222	17	within	within	ADP
cana-2484	222	18	the	the	DET
cana-2484	222	19	retinal	retinal	ADJ
cana-2484	222	20	images	image	NOUN
cana-2484	222	21	relevant	relevant	ADJ
cana-2484	222	22	for	for	ADP
cana-2484	222	23	classification	classification	NOUN
cana-2484	222	24	.	.	PUNCT
cana-2484	223	1	thus	thus	ADV
cana-2484	223	2	,	,	PUNCT
cana-2484	223	3	the	the	DET
cana-2484	223	4	dnn	dnn	PROPN
cana-2484	223	5	could	could	AUX
cana-2484	223	6	capture	capture	VERB
cana-2484	223	7	optic	optic	ADJ
cana-2484	223	8	nerve	nerve	NOUN
cana-2484	223	9	head	head	NOUN
cana-2484	223	10	pointing	pointing	NOUN
cana-2484	223	11	defect	defect	NOUN
cana-2484	223	12	for	for	ADP
cana-2484	223	13	glaucoma	glaucoma	NOUN
cana-2484	223	14	and	and	CCONJ
cana-2484	223	15	microaneurysms	microaneurysm	NOUN
cana-2484	223	16	or	or	CCONJ
cana-2484	223	17	flame	flame	NOUN
cana-2484	223	18	for	for	ADP
cana-2484	223	19	diabetic	diabetic	ADJ
cana-2484	223	20	retinopathy	retinopathy	NOUN
cana-2484	223	21	as	as	ADP
cana-2484	223	22	features	feature	NOUN
cana-2484	223	23	.	.	PUNCT
cana-2484	224	1	in	in	ADP
cana-2484	224	2	the	the	DET
cana-2484	224	3	training	training	NOUN
cana-2484	224	4	stage	stage	NOUN
cana-2484	224	5	,	,	PUNCT
cana-2484	224	6	the	the	DET
cana-2484	224	7	model	model	NOUN
cana-2484	224	8	learned	learn	VERB
cana-2484	224	9	from	from	ADP
cana-2484	224	10	an	an	DET
cana-2484	224	11	extensive	extensive	ADJ
cana-2484	224	12	and	and	CCONJ
cana-2484	224	13	well	well	ADV
cana-2484	224	14	-	-	PUNCT
cana-2484	224	15	annotated	annotate	VERB
cana-2484	224	16	set	set	NOUN
cana-2484	224	17	of	of	ADP
cana-2484	224	18	retinal	retinal	ADJ
cana-2484	224	19	images	image	NOUN
cana-2484	224	20	.	.	PUNCT
cana-2484	225	1	every	every	DET
cana-2484	225	2	image	image	NOUN
cana-2484	225	3	was	be	AUX
cana-2484	225	4	tagged	tag	VERB
cana-2484	225	5	with	with	ADP
cana-2484	225	6	the	the	DET
cana-2484	225	7	appropriate	appropriate	ADJ
cana-2484	225	8	diagnosis	diagnosis	NOUN
cana-2484	225	9	information	information	NOUN
cana-2484	225	10	that	that	PRON
cana-2484	225	11	helped	help	VERB
cana-2484	225	12	the	the	DET
cana-2484	225	13	model	model	NOUN
cana-2484	225	14	to	to	PART
cana-2484	225	15	tune	tune	VERB
cana-2484	225	16	its	its	PRON
cana-2484	225	17	communications	communication	NOUN
cana-2484	225	18	on	on	ADP
cana-2484	225	19	applied	apply	VERB
cana-2484	225	20	nonlinear	nonlinear	ADJ
cana-2484	225	21	analysis	analysis	NOUN
cana-2484	225	22	issn	issn	NOUN
cana-2484	225	23	:	:	PUNCT
cana-2484	225	24	1074	1074	NUM
cana-2484	225	25	-	-	PUNCT
cana-2484	225	26	133x	133x	NUM
cana-2484	225	27	vol	vol	NOUN
cana-2484	225	28	32	32	NUM
cana-2484	225	29	no	no	NOUN
cana-2484	225	30	.	.	PUNCT
cana-2484	226	1	2s	2s	NUM
cana-2484	226	2	(	(	PUNCT
cana-2484	226	3	2025	2025	NUM
cana-2484	226	4	)	)	PUNCT
cana-2484	226	5	507	507	NUM
cana-2484	226	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2484	226	7	parameters	parameter	NOUN
cana-2484	226	8	based	base	VERB
cana-2484	226	9	on	on	ADP
cana-2484	226	10	the	the	DET
cana-2484	226	11	feedback	feedback	NOUN
cana-2484	226	12	from	from	ADP
cana-2484	226	13	each	each	DET
cana-2484	226	14	anomaly	anomaly	NOUN
cana-2484	226	15	which	which	PRON
cana-2484	226	16	it	it	PRON
cana-2484	226	17	identified	identify	VERB
cana-2484	226	18	during	during	ADP
cana-2484	226	19	the	the	DET
cana-2484	226	20	training	training	NOUN
cana-2484	226	21	phase	phase	NOUN
cana-2484	226	22	.	.	PUNCT
cana-2484	227	1	the	the	DET
cana-2484	227	2	model	model	NOUN
cana-2484	227	3	was	be	AUX
cana-2484	227	4	then	then	ADV
cana-2484	227	5	trained	train	VERB
cana-2484	227	6	in	in	ADP
cana-2484	227	7	this	this	DET
cana-2484	227	8	way	way	NOUN
cana-2484	227	9	to	to	PART
cana-2484	227	10	map	map	VERB
cana-2484	227	11	visually	visually	ADV
cana-2484	227	12	data	datum	NOUN
cana-2484	227	13	onto	onto	ADP
cana-2484	227	14	diagnostic	diagnostic	ADJ
cana-2484	227	15	categories	category	NOUN
cana-2484	227	16	.	.	PUNCT
cana-2484	228	1	the	the	DET
cana-2484	228	2	dnn	dnn	PROPN
cana-2484	228	3	was	be	AUX
cana-2484	228	4	cp	cp	NUM
cana-2484	228	5	abundantly	abundantly	ADV
cana-2484	228	6	sufficient	sufficient	ADJ
cana-2484	228	7	to	to	PART
cana-2484	228	8	achieve	achieve	VERB
cana-2484	228	9	strong	strong	ADJ
cana-2484	228	10	predictive	predictive	ADJ
cana-2484	228	11	performance	performance	NOUN
cana-2484	228	12	after	after	ADP
cana-2484	228	13	full	full	ADJ
cana-2484	228	14	training	training	NOUN
cana-2484	228	15	,	,	PUNCT
cana-2484	228	16	achieving	achieve	VERB
cana-2484	228	17	high	high	ADJ
cana-2484	228	18	levels	level	NOUN
cana-2484	228	19	of	of	ADP
cana-2484	228	20	diagnostic	diagnostic	ADJ
cana-2484	228	21	accuracy	accuracy	NOUN
cana-2484	228	22	upon	upon	SCONJ
cana-2484	228	23	retinal	retinal	ADJ
cana-2484	228	24	images	image	NOUN
cana-2484	228	25	never	never	ADV
cana-2484	228	26	seen	see	VERB
cana-2484	228	27	before	before	ADV
cana-2484	228	28	.	.	PUNCT
cana-2484	229	1	the	the	DET
cana-2484	229	2	results	result	NOUN
cana-2484	229	3	suggest	suggest	VERB
cana-2484	229	4	that	that	SCONJ
cana-2484	229	5	the	the	DET
cana-2484	229	6	model	model	NOUN
cana-2484	229	7	could	could	AUX
cana-2484	229	8	be	be	AUX
cana-2484	229	9	a	a	DET
cana-2484	229	10	breakthrough	breakthrough	NOUN
cana-2484	229	11	in	in	ADP
cana-2484	229	12	early	early	ADJ
cana-2484	229	13	detection	detection	NOUN
cana-2484	229	14	for	for	ADP
cana-2484	229	15	ophthalmology	ophthalmology	NOUN
cana-2484	229	16	and	and	CCONJ
cana-2484	229	17	provide	provide	VERB
cana-2484	229	18	a	a	DET
cana-2484	229	19	faster	fast	ADJ
cana-2484	229	20	and	and	CCONJ
cana-2484	229	21	potentially	potentially	ADV
cana-2484	229	22	more	more	ADV
cana-2484	229	23	reliable	reliable	ADJ
cana-2484	229	24	option	option	NOUN
cana-2484	229	25	than	than	ADP
cana-2484	229	26	the	the	DET
cana-2484	229	27	conventional	conventional	ADJ
cana-2484	229	28	manual	manual	ADJ
cana-2484	229	29	diagnosis	diagnosis	NOUN
cana-2484	229	30	by	by	ADP
cana-2484	229	31	ophthalmologists	ophthalmologist	NOUN
cana-2484	229	32	.	.	PUNCT
cana-2484	230	1	●	●	PUNCT
cana-2484	230	2	fuzzy	fuzzy	ADJ
cana-2484	230	3	logic	logic	NOUN
cana-2484	230	4	and	and	CCONJ
cana-2484	230	5	disease	disease	NOUN
cana-2484	230	6	seriousness	seriousness	NOUN
cana-2484	230	7	however	however	ADV
cana-2484	230	8	,	,	PUNCT
cana-2484	230	9	as	as	ADV
cana-2484	230	10	capable	capable	ADJ
cana-2484	230	11	as	as	SCONJ
cana-2484	230	12	the	the	DET
cana-2484	230	13	dnn	dnn	PROPN
cana-2484	230	14	was	be	AUX
cana-2484	230	15	at	at	ADP
cana-2484	230	16	imaging	imaging	NOUN
cana-2484	230	17	prodigy	prodigy	NOUN
cana-2484	230	18	and	and	CCONJ
cana-2484	230	19	modality	modality	NOUN
cana-2484	230	20	detection	detection	NOUN
cana-2484	230	21	for	for	ADP
cana-2484	230	22	predicting	predict	VERB
cana-2484	230	23	disease	disease	NOUN
cana-2484	230	24	,	,	PUNCT
cana-2484	230	25	interpreting	interpret	VERB
cana-2484	230	26	those	those	DET
cana-2484	230	27	decisions	decision	NOUN
cana-2484	230	28	was	be	AUX
cana-2484	230	29	a	a	DET
cana-2484	230	30	limitation	limitation	NOUN
cana-2484	230	31	well	well	ADV
cana-2484	230	32	known	know	VERB
cana-2484	230	33	.	.	PUNCT
cana-2484	231	1	transparency	transparency	NOUN
cana-2484	231	2	of	of	ADP
cana-2484	231	3	diagnostic	diagnostic	ADJ
cana-2484	231	4	results	result	NOUN
cana-2484	231	5	in	in	ADP
cana-2484	231	6	medical	medical	ADJ
cana-2484	231	7	settings	setting	NOUN
cana-2484	231	8	,	,	PUNCT
cana-2484	231	9	particularly	particularly	ADV
cana-2484	231	10	where	where	SCONJ
cana-2484	231	11	treatment	treatment	NOUN
cana-2484	231	12	decisions	decision	NOUN
cana-2484	231	13	are	be	AUX
cana-2484	231	14	involved	involve	VERB
cana-2484	231	15	is	be	AUX
cana-2484	231	16	fundamental	fundamental	ADJ
cana-2484	231	17	.	.	PUNCT
cana-2484	232	1	in	in	ADP
cana-2484	232	2	response	response	NOUN
cana-2484	232	3	to	to	ADP
cana-2484	232	4	this	this	DET
cana-2484	232	5	issue	issue	NOUN
cana-2484	232	6	,	,	PUNCT
cana-2484	232	7	the	the	DET
cana-2484	232	8	dnn	dnn	PROPN
cana-2484	232	9	system	system	NOUN
cana-2484	232	10	was	be	AUX
cana-2484	232	11	combined	combine	VERB
cana-2484	232	12	with	with	ADP
cana-2484	232	13	fuzzy	fuzzy	ADJ
cana-2484	232	14	logic	logic	NOUN
cana-2484	232	15	,	,	PUNCT
cana-2484	232	16	which	which	PRON
cana-2484	232	17	increased	increase	VERB
cana-2484	232	18	the	the	DET
cana-2484	232	19	interpretability	interpretability	NOUN
cana-2484	232	20	of	of	ADP
cana-2484	232	21	its	its	PRON
cana-2484	232	22	decisionmaking	decisionmaking	NOUN
cana-2484	232	23	and	and	CCONJ
cana-2484	232	24	made	make	VERB
cana-2484	232	25	possible	possible	ADJ
cana-2484	232	26	finer	finer	ADV
cana-2484	232	27	-	-	PUNCT
cana-2484	232	28	grained	grain	VERB
cana-2484	232	29	measures	measure	NOUN
cana-2484	232	30	of	of	ADP
cana-2484	232	31	diagnostic	diagnostic	ADJ
cana-2484	232	32	specification	specification	NOUN
cana-2484	232	33	.	.	PUNCT
cana-2484	233	1	unlike	unlike	ADP
cana-2484	233	2	binary	binary	ADJ
cana-2484	233	3	logic	logic	NOUN
cana-2484	233	4	,	,	PUNCT
cana-2484	233	5	fuzzy	fuzzy	ADJ
cana-2484	233	6	logic	logic	NOUN
cana-2484	233	7	does	do	AUX
cana-2484	233	8	not	not	PART
cana-2484	233	9	give	give	VERB
cana-2484	233	10	a	a	DET
cana-2484	233	11	“	"	PUNCT
cana-2484	233	12	true	true	ADJ
cana-2484	233	13	”	"	PUNCT
cana-2484	233	14	or	or	CCONJ
cana-2484	233	15	“	"	PUNCT
cana-2484	233	16	false	false	ADJ
cana-2484	233	17	”	"	PUNCT
cana-2484	233	18	answer	answer	NOUN
cana-2484	233	19	can	can	AUX
cana-2484	233	20	have	have	VERB
cana-2484	233	21	degrees	degree	NOUN
cana-2484	233	22	of	of	ADP
cana-2484	233	23	truth	truth	NOUN
cana-2484	233	24	or	or	CCONJ
cana-2484	233	25	probability	probability	NOUN
cana-2484	233	26	.	.	PUNCT
cana-2484	234	1	that	that	SCONJ
cana-2484	234	2	this	this	PRON
cana-2484	234	3	would	would	AUX
cana-2484	234	4	be	be	AUX
cana-2484	234	5	particulary	particulary	ADJ
cana-2484	234	6	useful	useful	ADJ
cana-2484	234	7	in	in	ADP
cana-2484	234	8	medical	medical	ADJ
cana-2484	234	9	diagnosis	diagnosis	NOUN
cana-2484	234	10	,	,	PUNCT
cana-2484	234	11	where	where	SCONJ
cana-2484	234	12	condiitons	condiiton	NOUN
cana-2484	234	13	may	may	AUX
cana-2484	234	14	not	not	PART
cana-2484	234	15	always	always	ADV
cana-2484	234	16	be	be	AUX
cana-2484	234	17	completely	completely	ADV
cana-2484	234	18	present	present	ADJ
cana-2484	234	19	or	or	CCONJ
cana-2484	234	20	absent	absent	ADJ
cana-2484	234	21	,	,	PUNCT
cana-2484	234	22	but	but	CCONJ
cana-2484	234	23	instead	instead	ADV
cana-2484	234	24	may	may	AUX
cana-2484	234	25	exist	exist	VERB
cana-2484	234	26	on	on	ADP
cana-2484	234	27	a	a	DET
cana-2484	234	28	sickness	sickness	NOUN
cana-2484	234	29	continuum	continuum	ADJ
cana-2484	234	30	to	to	PART
cana-2484	234	31	address	address	VERB
cana-2484	234	32	such	such	ADJ
cana-2484	234	33	borderline	borderline	NOUN
cana-2484	234	34	cases	case	NOUN
cana-2484	234	35	,	,	PUNCT
cana-2484	234	36	the	the	DET
cana-2484	234	37	system	system	NOUN
cana-2484	234	38	integrated	integrate	VERB
cana-2484	234	39	fuzzy	fuzzy	ADJ
cana-2484	234	40	logic	logic	NOUN
cana-2484	234	41	to	to	PART
cana-2484	234	42	include	include	VERB
cana-2484	234	43	symptoms	symptom	NOUN
cana-2484	234	44	of	of	ADP
cana-2484	234	45	a	a	DET
cana-2484	234	46	patient	patient	NOUN
cana-2484	234	47	that	that	PRON
cana-2484	234	48	are	be	AUX
cana-2484	234	49	common	common	ADJ
cana-2484	234	50	to	to	ADP
cana-2484	234	51	both	both	DET
cana-2484	234	52	disease	disease	NOUN
cana-2484	234	53	stages	stage	NOUN
cana-2484	234	54	.	.	PUNCT
cana-2484	235	1	for	for	ADP
cana-2484	235	2	example	example	NOUN
cana-2484	235	3	,	,	PUNCT
cana-2484	235	4	instead	instead	ADV
cana-2484	235	5	of	of	ADP
cana-2484	235	6	determining	determine	VERB
cana-2484	235	7	whether	whether	SCONJ
cana-2484	235	8	or	or	CCONJ
cana-2484	235	9	not	not	PART
cana-2484	235	10	a	a	DET
cana-2484	235	11	patient	patient	NOUN
cana-2484	235	12	had	have	VERB
cana-2484	235	13	glaucoma	glaucoma	NOUN
cana-2484	235	14	by	by	ADP
cana-2484	235	15	using	use	VERB
cana-2484	235	16	binary	binary	ADJ
cana-2484	235	17	classification	classification	NOUN
cana-2484	235	18	,	,	PUNCT
cana-2484	235	19	the	the	DET
cana-2484	235	20	fuzzy	fuzzy	ADJ
cana-2484	235	21	logic	logic	NOUN
cana-2484	235	22	system	system	NOUN
cana-2484	235	23	could	could	AUX
cana-2484	235	24	classify	classify	VERB
cana-2484	235	25	the	the	DET
cana-2484	235	26	disease	disease	NOUN
cana-2484	235	27	as	as	ADP
cana-2484	235	28	early	early	ADJ
cana-2484	235	29	,	,	PUNCT
cana-2484	235	30	moderate	moderate	ADJ
cana-2484	235	31	,	,	PUNCT
cana-2484	235	32	or	or	CCONJ
cana-2484	235	33	advanced	advance	VERB
cana-2484	235	34	based	base	VERB
cana-2484	235	35	on	on	ADP
cana-2484	235	36	the	the	DET
cana-2484	235	37	optic	optic	ADJ
cana-2484	235	38	nerve	nerve	NOUN
cana-2484	235	39	cup	cup	NOUN
cana-2484	235	40	-	-	PUNCT
cana-2484	235	41	to	to	ADP
cana-2484	235	42	-	-	PUNCT
cana-2484	235	43	disc	disc	NOUN
cana-2484	235	44	ratio	ratio	NOUN
cana-2484	235	45	and	and	CCONJ
cana-2484	235	46	phenotypic	phenotypic	ADJ
cana-2484	235	47	details	detail	NOUN
cana-2484	235	48	such	such	ADJ
cana-2484	235	49	as	as	ADP
cana-2484	235	50	intraocular	intraocular	ADJ
cana-2484	235	51	pressure	pressure	NOUN
cana-2484	235	52	and	and	CCONJ
cana-2484	235	53	retinal	retinal	ADJ
cana-2484	235	54	nerve	nerve	NOUN
cana-2484	235	55	fiber	fiber	NOUN
cana-2484	235	56	layer	layer	NOUN
cana-2484	235	57	thickness	thickness	NOUN
cana-2484	235	58	.	.	PUNCT
cana-2484	236	1	tables	table	NOUN
cana-2484	236	2	3	3	NUM
cana-2484	236	3	and	and	CCONJ
cana-2484	236	4	4	4	NUM
cana-2484	236	5	demonstrate	demonstrate	VERB
cana-2484	236	6	the	the	DET
cana-2484	236	7	effectiveness	effectiveness	NOUN
cana-2484	236	8	of	of	ADP
cana-2484	236	9	the	the	DET
cana-2484	236	10	cnn	cnn	PROPN
cana-2484	236	11	with	with	ADP
cana-2484	236	12	fuzzy	fuzzy	ADJ
cana-2484	236	13	logic	logic	NOUN
cana-2484	236	14	integration	integration	NOUN
cana-2484	236	15	,	,	PUNCT
cana-2484	236	16	showcasing	showcase	VERB
cana-2484	236	17	improvements	improvement	NOUN
cana-2484	236	18	in	in	ADP
cana-2484	236	19	diagnostic	diagnostic	ADJ
cana-2484	236	20	accuracy	accuracy	NOUN
cana-2484	236	21	compared	compare	VERB
cana-2484	236	22	to	to	ADP
cana-2484	236	23	using	use	VERB
cana-2484	236	24	cnn	cnn	PROPN
cana-2484	236	25	alone	alone	ADV
cana-2484	236	26	.	.	PUNCT
cana-2484	237	1	table	table	NOUN
cana-2484	237	2	3	3	NUM
cana-2484	237	3	:	:	PUNCT
cana-2484	237	4	comparison	comparison	NOUN
cana-2484	237	5	of	of	ADP
cana-2484	237	6	performance	performance	NOUN
cana-2484	237	7	metrics	metric	NOUN
cana-2484	237	8	between	between	ADP
cana-2484	237	9	cnn	cnn	PROPN
cana-2484	237	10	and	and	CCONJ
cana-2484	237	11	cnn	cnn	PROPN
cana-2484	237	12	+	+	CCONJ
cana-2484	237	13	fuzzy	fuzzy	ADJ
cana-2484	237	14	logic	logic	NOUN
cana-2484	237	15	metric	metric	PROPN
cana-2484	237	16	cnn	cnn	PROPN
cana-2484	237	17	only	only	ADV
cana-2484	237	18	(	(	PUNCT
cana-2484	237	19	%	%	INTJ
cana-2484	237	20	)	)	PUNCT
cana-2484	237	21	cnn	cnn	PROPN
cana-2484	238	1	+	+	CCONJ
cana-2484	238	2	fuzzy	fuzzy	ADJ
cana-2484	238	3	logic	logic	NOUN
cana-2484	238	4	(	(	PUNCT
cana-2484	238	5	%	%	INTJ
cana-2484	238	6	)	)	PUNCT
cana-2484	238	7	accuracy	accuracy	NOUN
cana-2484	238	8	85	85	NUM
cana-2484	238	9	92	92	NUM
cana-2484	238	10	sensitivity	sensitivity	NOUN
cana-2484	238	11	88	88	NUM
cana-2484	238	12	94	94	NUM
cana-2484	238	13	specificity	specificity	NOUN
cana-2484	238	14	82	82	NUM
cana-2484	238	15	90	90	NUM
cana-2484	239	1	the	the	DET
cana-2484	239	2	fuzzy	fuzzy	ADJ
cana-2484	239	3	logic	logic	NOUN
cana-2484	239	4	system	system	NOUN
cana-2484	239	5	was	be	AUX
cana-2484	239	6	based	base	VERB
cana-2484	239	7	on	on	ADP
cana-2484	239	8	a	a	DET
cana-2484	239	9	set	set	NOUN
cana-2484	239	10	of	of	ADP
cana-2484	239	11	fuzzy	fuzzy	ADJ
cana-2484	239	12	rules	rule	NOUN
cana-2484	239	13	that	that	PRON
cana-2484	239	14	were	be	AUX
cana-2484	239	15	formulated	formulate	VERB
cana-2484	239	16	with	with	ADP
cana-2484	239	17	expert	expert	ADJ
cana-2484	239	18	knowledge	knowledge	NOUN
cana-2484	239	19	.	.	PUNCT
cana-2484	240	1	rationale	rationale	NOUN
cana-2484	240	2	for	for	ADP
cana-2484	240	3	rules	rule	NOUN
cana-2484	240	4	was	be	AUX
cana-2484	240	5	twofold	twofold	ADV
cana-2484	240	6	:	:	PUNCT
cana-2484	240	7	improve	improve	VERB
cana-2484	240	8	interpretation	interpretation	NOUN
cana-2484	240	9	of	of	ADP
cana-2484	240	10	patient	patient	ADJ
cana-2484	240	11	severity	severity	NOUN
cana-2484	240	12	,	,	PUNCT
cana-2484	240	13	granularity	granularity	NOUN
cana-2484	240	14	;	;	PUNCT
cana-2484	240	15	and	and	CCONJ
cana-2484	240	16	posthoc	posthoc	VERB
cana-2484	240	17	explainability	explainability	NOUN
cana-2484	240	18	to	to	PART
cana-2484	240	19	provide	provide	VERB
cana-2484	240	20	profiling	profiling	NOUN
cana-2484	240	21	of	of	ADP
cana-2484	240	22	system	system	NOUN
cana-2484	240	23	generated	generate	VERB
cana-2484	240	24	predictions	prediction	NOUN
cana-2484	240	25	.	.	PUNCT
cana-2484	241	1	for	for	ADP
cana-2484	241	2	example	example	NOUN
cana-2484	241	3	,	,	PUNCT
cana-2484	241	4	a	a	DET
cana-2484	241	5	rule	rule	NOUN
cana-2484	241	6	may	may	AUX
cana-2484	241	7	say	say	VERB
cana-2484	241	8	"	"	PUNCT
cana-2484	241	9	if	if	SCONJ
cana-2484	241	10	the	the	DET
cana-2484	241	11	optic	optic	ADJ
cana-2484	241	12	nerve	nerve	NOUN
cana-2484	241	13	cup	cup	NOUN
cana-2484	241	14	-	-	PUNCT
cana-2484	241	15	to	to	ADP
cana-2484	241	16	-	-	PUNCT
cana-2484	241	17	disc	disc	NOUN
cana-2484	241	18	ratio	ratio	NOUN
cana-2484	241	19	is	be	AUX
cana-2484	241	20	large	large	ADJ
cana-2484	241	21	and	and	CCONJ
cana-2484	241	22	intraocular	intraocular	ADJ
cana-2484	241	23	pressure	pressure	NOUN
cana-2484	241	24	is	be	AUX
cana-2484	241	25	high	high	ADJ
cana-2484	241	26	,	,	PUNCT
cana-2484	241	27	then	then	ADV
cana-2484	241	28	glaucoma	glaucoma	NOUN
cana-2484	241	29	"	"	PUNCT
cana-2484	241	30	.	.	PUNCT
cana-2484	242	1	this	this	PRON
cana-2484	242	2	provided	provide	VERB
cana-2484	242	3	an	an	DET
cana-2484	242	4	unambiguous	unambiguous	ADJ
cana-2484	242	5	diagnostic	diagnostic	ADJ
cana-2484	242	6	path	path	NOUN
cana-2484	242	7	,	,	PUNCT
cana-2484	242	8	and	and	CCONJ
cana-2484	242	9	helped	help	VERB
cana-2484	242	10	healthcare	healthcare	PROPN
cana-2484	242	11	providers	provider	NOUN
cana-2484	242	12	make	make	VERB
cana-2484	242	13	decisions	decision	NOUN
cana-2484	242	14	about	about	ADP
cana-2484	242	15	treatment	treatment	NOUN
cana-2484	242	16	strategies	strategy	NOUN
cana-2484	242	17	.	.	PUNCT
cana-2484	243	1	the	the	DET
cana-2484	243	2	overlay	overlay	NOUN
cana-2484	243	3	of	of	ADP
cana-2484	243	4	dnn	dnn	PROPN
cana-2484	243	5	and	and	CCONJ
cana-2484	243	6	fuzzy	fuzzy	ADJ
cana-2484	243	7	logic	logic	NOUN
cana-2484	243	8	not	not	PART
cana-2484	243	9	only	only	ADV
cana-2484	243	10	improved	improve	VERB
cana-2484	243	11	the	the	DET
cana-2484	243	12	system	system	NOUN
cana-2484	243	13	accuracy	accuracy	NOUN
cana-2484	243	14	but	but	CCONJ
cana-2484	243	15	at	at	ADP
cana-2484	243	16	the	the	DET
cana-2484	243	17	same	same	ADJ
cana-2484	243	18	time	time	NOUN
cana-2484	243	19	provided	provide	VERB
cana-2484	243	20	clinicians	clinician	NOUN
cana-2484	243	21	with	with	ADP
cana-2484	243	22	a	a	DET
cana-2484	243	23	fair	fair	ADJ
cana-2484	243	24	,	,	PUNCT
cana-2484	243	25	transparent	transparent	ADJ
cana-2484	243	26	,	,	PUNCT
cana-2484	243	27	and	and	CCONJ
cana-2484	243	28	easily	easily	ADV
cana-2484	243	29	interpretable	interpretable	ADJ
cana-2484	243	30	output	output	NOUN
cana-2484	243	31	,	,	PUNCT
cana-2484	243	32	allowing	allow	VERB
cana-2484	243	33	them	they	PRON
cana-2484	243	34	not	not	PART
cana-2484	243	35	just	just	ADV
cana-2484	243	36	to	to	PART
cana-2484	243	37	believe	believe	VERB
cana-2484	243	38	in	in	ADP
cana-2484	243	39	its	its	PRON
cana-2484	243	40	performance	performance	NOUN
cana-2484	243	41	(	(	PUNCT
cana-2484	243	42	i.e.	i.e.	X
cana-2484	243	43	whether	whether	SCONJ
cana-2484	243	44	care	care	NOUN
cana-2484	243	45	assistant	assistant	NOUN
cana-2484	243	46	carries	carry	VERB
cana-2484	243	47	out	out	ADP
cana-2484	243	48	daily	daily	ADJ
cana-2484	243	49	activities	activity	NOUN
cana-2484	243	50	as	as	SCONJ
cana-2484	243	51	predicted	predict	VERB
cana-2484	243	52	or	or	CCONJ
cana-2484	243	53	daily	daily	ADJ
cana-2484	243	54	activities	activity	NOUN
cana-2484	243	55	take	take	VERB
cana-2484	243	56	place	place	NOUN
cana-2484	243	57	as	as	ADP
cana-2484	243	58	intended	intend	VERB
cana-2484	243	59	)	)	PUNCT
cana-2484	243	60	,	,	PUNCT
cana-2484	243	61	they	they	PRON
cana-2484	243	62	also	also	ADV
cana-2484	243	63	have	have	VERB
cana-2484	243	64	a	a	DET
cana-2484	243	65	clear	clear	ADJ
cana-2484	243	66	understanding	understanding	NOUN
cana-2484	243	67	what	what	PRON
cana-2484	243	68	factors	factor	NOUN
cana-2484	243	69	determine	determine	VERB
cana-2484	243	70	it	it	PRON
cana-2484	243	71	.	.	PUNCT
cana-2484	244	1	●	●	PUNCT
cana-2484	244	2	disease	disease	NOUN
cana-2484	244	3	progression	progression	NOUN
cana-2484	244	4	and	and	CCONJ
cana-2484	244	5	early	early	ADJ
cana-2484	244	6	detection	detection	NOUN
cana-2484	244	7	both	both	CCONJ
cana-2484	244	8	glaucoma	glaucoma	NOUN
cana-2484	244	9	and	and	CCONJ
cana-2484	244	10	diabetic	diabetic	ADJ
cana-2484	244	11	retinopathy	retinopathy	NOUN
cana-2484	244	12	need	need	VERB
cana-2484	244	13	to	to	PART
cana-2484	244	14	be	be	AUX
cana-2484	244	15	caught	catch	VERB
cana-2484	244	16	early	early	ADV
cana-2484	244	17	since	since	SCONJ
cana-2484	244	18	they	they	PRON
cana-2484	244	19	develop	develop	VERB
cana-2484	244	20	over	over	ADP
cana-2484	244	21	time	time	NOUN
cana-2484	244	22	,	,	PUNCT
cana-2484	244	23	eventually	eventually	ADV
cana-2484	244	24	leading	lead	VERB
cana-2484	244	25	to	to	ADP
cana-2484	244	26	irreversible	irreversible	ADJ
cana-2484	244	27	damage	damage	NOUN
cana-2484	244	28	.	.	PUNCT
cana-2484	245	1	one	one	NUM
cana-2484	245	2	of	of	ADP
cana-2484	245	3	the	the	DET
cana-2484	245	4	system	system	NOUN
cana-2484	245	5	that	that	PRON
cana-2484	245	6	distinguished	distinguish	VERB
cana-2484	245	7	disease	disease	NOUN
cana-2484	245	8	early	early	ADV
cana-2484	245	9	on	on	ADV
cana-2484	245	10	was	be	AUX
cana-2484	245	11	a	a	DET
cana-2484	245	12	notable	notable	ADJ
cana-2484	245	13	breakthrough	breakthrough	NOUN
cana-2484	245	14	.	.	PUNCT
cana-2484	246	1	for	for	ADP
cana-2484	246	2	example	example	NOUN
cana-2484	246	3	,	,	PUNCT
cana-2484	246	4	in	in	ADP
cana-2484	246	5	glaucoma	glaucoma	NOUN
cana-2484	246	6	,	,	PUNCT
cana-2484	246	7	the	the	DET
cana-2484	246	8	model	model	NOUN
cana-2484	246	9	correctly	correctly	ADV
cana-2484	246	10	identified	identify	VERB
cana-2484	246	11	signs	sign	NOUN
cana-2484	246	12	of	of	ADP
cana-2484	246	13	damage	damage	NOUN
cana-2484	246	14	to	to	ADP
cana-2484	246	15	the	the	DET
cana-2484	246	16	optic	optic	ADJ
cana-2484	246	17	nerve	nerve	NOUN
cana-2484	246	18	center	center	NOUN
cana-2484	246	19	that	that	PRON
cana-2484	246	20	were	be	AUX
cana-2484	246	21	n't	not	PART
cana-2484	246	22	obvious	obvious	ADJ
cana-2484	246	23	even	even	ADV
cana-2484	246	24	as	as	SCONJ
cana-2484	246	25	patient	patient	ADJ
cana-2484	246	26	suffered	suffer	VERB
cana-2484	246	27	mild	mild	ADJ
cana-2484	246	28	loss	loss	NOUN
cana-2484	246	29	of	of	ADP
cana-2484	246	30	vision	vision	NOUN
cana-2484	246	31	.	.	PUNCT
cana-2484	247	1	for	for	SCONJ
cana-2484	247	2	diabetic	diabetic	ADJ
cana-2484	247	3	communications	communication	NOUN
cana-2484	247	4	on	on	ADP
cana-2484	247	5	applied	apply	VERB
cana-2484	247	6	nonlinear	nonlinear	ADJ
cana-2484	247	7	analysis	analysis	NOUN
cana-2484	247	8	issn	issn	NOUN
cana-2484	247	9	:	:	PUNCT
cana-2484	247	10	1074	1074	NUM
cana-2484	247	11	-	-	PUNCT
cana-2484	247	12	133x	133x	NUM
cana-2484	247	13	vol	vol	NOUN
cana-2484	247	14	32	32	NUM
cana-2484	247	15	no	no	NOUN
cana-2484	247	16	.	.	PUNCT
cana-2484	248	1	2s	2s	NUM
cana-2484	248	2	(	(	PUNCT
cana-2484	248	3	2025	2025	NUM
cana-2484	248	4	)	)	PUNCT
cana-2484	248	5	508	508	NUM
cana-2484	248	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2484	248	7	retinopathy	retinopathy	ADJ
cana-2484	248	8	,	,	PUNCT
cana-2484	248	9	the	the	DET
cana-2484	248	10	same	same	ADJ
cana-2484	248	11	system	system	NOUN
cana-2484	248	12	spotted	spot	VERB
cana-2484	248	13	other	other	ADJ
cana-2484	248	14	early	early	ADJ
cana-2484	248	15	signs	sign	NOUN
cana-2484	248	16	in	in	ADP
cana-2484	248	17	eye	eye	NOUN
cana-2484	248	18	scans	scan	NOUN
cana-2484	248	19	for	for	ADP
cana-2484	248	20	disease	disease	NOUN
cana-2484	248	21	-	-	PUNCT
cana-2484	248	22	associated	associate	VERB
cana-2484	248	23	microaneurysms	microaneurysm	NOUN
cana-2484	248	24	in	in	ADP
cana-2484	248	25	the	the	DET
cana-2484	248	26	retina	retina	NOUN
cana-2484	248	27	.	.	PUNCT
cana-2484	249	1	table	table	NOUN
cana-2484	249	2	4	4	NUM
cana-2484	249	3	:	:	PUNCT
cana-2484	249	4	detection	detection	NOUN
cana-2484	249	5	of	of	ADP
cana-2484	249	6	disease	disease	NOUN
cana-2484	249	7	severity	severity	NOUN
cana-2484	249	8	in	in	ADP
cana-2484	249	9	clinical	clinical	ADJ
cana-2484	249	10	trials	trial	NOUN
cana-2484	249	11	(	(	PUNCT
cana-2484	249	12	glaucoma	glaucoma	NOUN
cana-2484	249	13	)	)	PUNCT
cana-2484	249	14	disease	disease	NOUN
cana-2484	249	15	severity	severity	PROPN
cana-2484	249	16	cnn	cnn	PROPN
cana-2484	249	17	predictions	prediction	VERB
cana-2484	249	18	cnn	cnn	PROPN
cana-2484	250	1	+	+	CCONJ
cana-2484	250	2	fuzzy	fuzzy	ADJ
cana-2484	250	3	logic	logic	NOUN
cana-2484	250	4	predictions	prediction	NOUN
cana-2484	250	5	expert	expert	NOUN
cana-2484	250	6	diagnoses	diagnose	VERB
cana-2484	250	7	early	early	ADJ
cana-2484	250	8	-	-	PUNCT
cana-2484	250	9	stage	stage	NOUN
cana-2484	250	10	78	78	NUM
cana-2484	250	11	85	85	NUM
cana-2484	250	12	84	84	NUM
cana-2484	250	13	moderate	moderate	ADJ
cana-2484	250	14	-	-	PUNCT
cana-2484	250	15	stage	stage	NOUN
cana-2484	250	16	82	82	NUM
cana-2484	250	17	88	88	NUM
cana-2484	250	18	86	86	NUM
cana-2484	250	19	advanced	advanced	ADJ
cana-2484	250	20	-	-	PUNCT
cana-2484	250	21	stage	stage	NOUN
cana-2484	250	22	86	86	NUM
cana-2484	250	23	90	90	NUM
cana-2484	250	24	89	89	NUM
cana-2484	250	25	in	in	ADP
cana-2484	250	26	clinical	clinical	ADJ
cana-2484	250	27	validation	validation	NOUN
cana-2484	250	28	trials	trial	NOUN
cana-2484	250	29	,	,	PUNCT
cana-2484	250	30	the	the	DET
cana-2484	250	31	system	system	NOUN
cana-2484	250	32	read	read	VERB
cana-2484	250	33	through	through	ADP
cana-2484	250	34	a	a	DET
cana-2484	250	35	dataset	dataset	NOUN
cana-2484	250	36	of	of	ADP
cana-2484	250	37	standard	standard	ADJ
cana-2484	250	38	retinal	retinal	ADJ
cana-2484	250	39	images	image	NOUN
cana-2484	250	40	and	and	CCONJ
cana-2484	250	41	pitted	pit	VERB
cana-2484	250	42	its	its	PRON
cana-2484	250	43	accuracy	accuracy	NOUN
cana-2484	250	44	in	in	ADP
cana-2484	250	45	diagnosing	diagnose	VERB
cana-2484	250	46	against	against	ADP
cana-2484	250	47	top	top	ADJ
cana-2484	250	48	-	-	PUNCT
cana-2484	250	49	of	of	ADP
cana-2484	250	50	-	-	PUNCT
cana-2484	250	51	the	the	DET
cana-2484	250	52	-	-	PUNCT
cana-2484	250	53	line	line	NOUN
cana-2484	250	54	ophthalmologists	ophthalmologist	NOUN
cana-2484	250	55	.	.	PUNCT
cana-2484	251	1	for	for	ADP
cana-2484	251	2	the	the	DET
cana-2484	251	3	patients	patient	NOUN
cana-2484	251	4	with	with	ADP
cana-2484	251	5	early	early	ADJ
cana-2484	251	6	-	-	PUNCT
cana-2484	251	7	stage	stage	NOUN
cana-2484	251	8	glaucoma	glaucoma	NOUN
cana-2484	251	9	or	or	CCONJ
cana-2484	251	10	diabetic	diabetic	ADJ
cana-2484	251	11	retinopathy	retinopathy	NOUN
cana-2484	251	12	,	,	PUNCT
cana-2484	251	13	it	it	PRON
cana-2484	251	14	matched	match	VERB
cana-2484	251	15	human	human	ADJ
cana-2484	251	16	expert	expert	NOUN
cana-2484	251	17	diagnoses	diagnosis	NOUN
cana-2484	251	18	.	.	PUNCT
cana-2484	252	1	through	through	ADP
cana-2484	252	2	this	this	PRON
cana-2484	252	3	,	,	PUNCT
cana-2484	252	4	the	the	DET
cana-2484	252	5	system	system	NOUN
cana-2484	252	6	was	be	AUX
cana-2484	252	7	proven	prove	VERB
cana-2484	252	8	to	to	PART
cana-2484	252	9	work	work	VERB
cana-2484	252	10	as	as	ADP
cana-2484	252	11	an	an	DET
cana-2484	252	12	efficient	efficient	ADJ
cana-2484	252	13	detector	detector	NOUN
cana-2484	252	14	of	of	ADP
cana-2484	252	15	more	more	ADJ
cana-2484	252	16	minute	minute	NOUN
cana-2484	252	17	disease	disease	NOUN
cana-2484	252	18	traits	trait	NOUN
cana-2484	252	19	which	which	PRON
cana-2484	252	20	are	be	AUX
cana-2484	252	21	not	not	PART
cana-2484	252	22	usually	usually	ADV
cana-2484	252	23	visible	visible	ADJ
cana-2484	252	24	by	by	ADP
cana-2484	252	25	manual	manual	ADJ
cana-2484	252	26	inspection	inspection	NOUN
cana-2484	252	27	.	.	PUNCT
cana-2484	253	1	in	in	ADP
cana-2484	253	2	offering	offer	VERB
cana-2484	253	3	such	such	ADJ
cana-2484	253	4	early	early	ADJ
cana-2484	253	5	detection	detection	NOUN
cana-2484	253	6	,	,	PUNCT
cana-2484	253	7	the	the	DET
cana-2484	253	8	system	system	NOUN
cana-2484	253	9	could	could	AUX
cana-2484	253	10	potentially	potentially	ADV
cana-2484	253	11	both	both	PRON
cana-2484	253	12	reduce	reduce	VERB
cana-2484	253	13	the	the	DET
cana-2484	253	14	numbers	number	NOUN
cana-2484	253	15	of	of	ADP
cana-2484	253	16	people	people	NOUN
cana-2484	253	17	losing	lose	VERB
cana-2484	253	18	their	their	PRON
cana-2484	253	19	sight	sight	NOUN
cana-2484	253	20	and	and	CCONJ
cana-2484	253	21	also	also	ADV
cana-2484	253	22	prevent	prevent	VERB
cana-2484	253	23	individuals	individual	NOUN
cana-2484	253	24	from	from	ADP
cana-2484	253	25	reaching	reach	VERB
cana-2484	253	26	a	a	DET
cana-2484	253	27	stage	stage	NOUN
cana-2484	253	28	where	where	SCONJ
cana-2484	253	29	irreversible	irreversible	ADJ
cana-2484	253	30	vision	vision	NOUN
cana-2484	253	31	loss	loss	NOUN
cana-2484	253	32	has	have	AUX
cana-2484	253	33	become	become	AUX
cana-2484	253	34	established	establish	VERB
cana-2484	253	35	.	.	PUNCT
cana-2484	254	1	the	the	DET
cana-2484	254	2	fuzzy	fuzzy	ADJ
cana-2484	254	3	logic	logic	NOUN
cana-2484	254	4	piece	piece	NOUN
cana-2484	254	5	actually	actually	ADV
cana-2484	254	6	performed	perform	VERB
cana-2484	254	7	quite	quite	ADV
cana-2484	254	8	well	well	ADV
cana-2484	254	9	in	in	ADP
cana-2484	254	10	placing	place	VERB
cana-2484	254	11	these	these	DET
cana-2484	254	12	early	early	ADJ
cana-2484	254	13	-	-	PUNCT
cana-2484	254	14	stage	stage	NOUN
cana-2484	254	15	cases	case	NOUN
cana-2484	254	16	into	into	ADP
cana-2484	254	17	the	the	DET
cana-2484	254	18	appropriate	appropriate	ADJ
cana-2484	254	19	severity	severity	NOUN
cana-2484	254	20	category	category	NOUN
cana-2484	254	21	of	of	ADP
cana-2484	254	22	the	the	DET
cana-2484	254	23	disease	disease	NOUN
cana-2484	254	24	.	.	PUNCT
cana-2484	255	1	this	this	PRON
cana-2484	255	2	has	have	AUX
cana-2484	255	3	informed	inform	VERB
cana-2484	255	4	the	the	DET
cana-2484	255	5	ability	ability	NOUN
cana-2484	255	6	to	to	PART
cana-2484	255	7	provide	provide	VERB
cana-2484	255	8	more	more	ADV
cana-2484	255	9	nuanced	nuanced	ADJ
cana-2484	255	10	diagnosis	diagnosis	NOUN
cana-2484	255	11	by	by	ADP
cana-2484	255	12	ascribing	ascribe	VERB
cana-2484	255	13	membership	membership	NOUN
cana-2484	255	14	levels	level	NOUN
cana-2484	255	15	for	for	ADP
cana-2484	255	16	disease	disease	NOUN
cana-2484	255	17	stages	stage	NOUN
cana-2484	255	18	;	;	PUNCT
cana-2484	255	19	allowing	allow	VERB
cana-2484	255	20	an	an	DET
cana-2484	255	21	optimal	optimal	ADJ
cana-2484	255	22	treatment	treatment	NOUN
cana-2484	255	23	option	option	NOUN
cana-2484	255	24	per	per	ADP
cana-2484	255	25	case	case	NOUN
cana-2484	255	26	.	.	PUNCT
cana-2484	256	1	similarly	similarly	ADV
cana-2484	256	2	,	,	PUNCT
cana-2484	256	3	a	a	DET
cana-2484	256	4	patient	patient	NOUN
cana-2484	256	5	with	with	ADP
cana-2484	256	6	a	a	DET
cana-2484	256	7	questionable	questionable	ADJ
cana-2484	256	8	optic	optic	ADJ
cana-2484	256	9	cup	cup	NOUN
cana-2484	256	10	-	-	PUNCT
cana-2484	256	11	to	to	ADP
cana-2484	256	12	-	-	PUNCT
cana-2484	256	13	disc	disc	NOUN
cana-2484	256	14	ratio	ratio	NOUN
cana-2484	256	15	may	may	AUX
cana-2484	256	16	have	have	VERB
cana-2484	256	17	a	a	DET
cana-2484	256	18	very	very	ADV
cana-2484	256	19	high	high	ADJ
cana-2484	256	20	probability	probability	NOUN
cana-2484	256	21	of	of	ADP
cana-2484	256	22	early	early	ADJ
cana-2484	256	23	glaucoma	glaucoma	NOUN
cana-2484	256	24	and	and	CCONJ
cana-2484	256	25	receive	receive	VERB
cana-2484	256	26	closer	close	ADJ
cana-2484	256	27	follow	follow	NOUN
cana-2484	256	28	up	up	ADP
cana-2484	256	29	and	and	CCONJ
cana-2484	256	30	preventive	preventive	ADJ
cana-2484	256	31	therapy	therapy	NOUN
cana-2484	256	32	as	as	ADP
cana-2484	256	33	such	such	ADJ
cana-2484	256	34	.	.	PUNCT
cana-2484	257	1	●	●	PUNCT
cana-2484	257	2	computational	computational	ADJ
cana-2484	257	3	efficiency	efficiency	NOUN
cana-2484	257	4	and	and	CCONJ
cana-2484	257	5	resource	resource	NOUN
cana-2484	257	6	constraints	constraint	NOUN
cana-2484	257	7	one	one	NUM
cana-2484	257	8	of	of	ADP
cana-2484	257	9	the	the	DET
cana-2484	257	10	paramount	paramount	ADJ
cana-2484	257	11	obstacles	obstacle	NOUN
cana-2484	257	12	to	to	ADP
cana-2484	257	13	integrating	integrate	VERB
cana-2484	257	14	dnn	dnn	PROPN
cana-2484	257	15	-	-	PUNCT
cana-2484	257	16	based	base	VERB
cana-2484	257	17	systems	system	NOUN
cana-2484	257	18	in	in	ADP
cana-2484	257	19	clinical	clinical	ADJ
cana-2484	257	20	practice	practice	NOUN
cana-2484	257	21	is	be	AUX
cana-2484	257	22	related	relate	VERB
cana-2484	257	23	to	to	ADP
cana-2484	257	24	their	their	PRON
cana-2484	257	25	computationally	computationally	ADV
cana-2484	257	26	heavy	heavy	ADJ
cana-2484	257	27	nature	nature	NOUN
cana-2484	257	28	during	during	ADP
cana-2484	257	29	training	training	NOUN
cana-2484	257	30	and	and	CCONJ
cana-2484	257	31	inference	inference	NOUN
cana-2484	257	32	.	.	PUNCT
cana-2484	258	1	medical	medical	ADJ
cana-2484	258	2	image	image	NOUN
cana-2484	258	3	analyses	analysis	NOUN
cana-2484	258	4	using	use	VERB
cana-2484	258	5	large	large	ADJ
cana-2484	258	6	deep	deep	ADJ
cana-2484	258	7	neural	neural	ADJ
cana-2484	258	8	networks	network	NOUN
cana-2484	258	9	[	[	X
cana-2484	258	10	2	2	X
cana-2484	258	11	]	]	PUNCT
cana-2484	258	12	usually	usually	ADV
cana-2484	258	13	need	need	VERB
cana-2484	258	14	a	a	DET
cana-2484	258	15	heavy	heavy	ADJ
cana-2484	258	16	computational	computational	ADJ
cana-2484	258	17	resource	resource	NOUN
cana-2484	258	18	to	to	PART
cana-2484	258	19	be	be	AUX
cana-2484	258	20	efficiently	efficiently	ADV
cana-2484	258	21	executed	execute	VERB
cana-2484	258	22	.	.	PUNCT
cana-2484	259	1	this	this	DET
cana-2484	259	2	system	system	NOUN
cana-2484	259	3	targeting	target	VERB
cana-2484	259	4	glaucoma	glaucoma	NOUN
cana-2484	259	5	,	,	PUNCT
cana-2484	259	6	diagnosis	diagnosis	NOUN
cana-2484	259	7	of	of	ADP
cana-2484	259	8	diabetic	diabetic	ADJ
cana-2484	259	9	retinopathy	retinopathy	NOUN
cana-2484	259	10	(	(	PUNCT
cana-2484	259	11	optional)is	optional)is	ADJ
cana-2484	259	12	optimized	optimize	VERB
cana-2484	259	13	to	to	PART
cana-2484	259	14	operate	operate	VERB
cana-2484	259	15	in	in	ADP
cana-2484	259	16	realtime	realtime	ADJ
cana-2484	259	17	clinical	clinical	ADJ
cana-2484	259	18	settings	setting	NOUN
cana-2484	259	19	which	which	PRON
cana-2484	259	20	are	be	AUX
cana-2484	259	21	usually	usually	ADV
cana-2484	259	22	equipped	equip	VERB
cana-2484	259	23	with	with	ADP
cana-2484	259	24	limited	limited	ADJ
cana-2484	259	25	computational	computational	ADJ
cana-2484	259	26	processing	processing	NOUN
cana-2484	259	27	capabilities	capability	NOUN
cana-2484	259	28	.	.	PUNCT
cana-2484	260	1	using	use	VERB
cana-2484	260	2	gpu	gpu	NOUN
cana-2484	260	3	acceleration	acceleration	NOUN
cana-2484	260	4	and	and	CCONJ
cana-2484	260	5	streamlining	streamline	VERB
cana-2484	260	6	the	the	DET
cana-2484	260	7	dnn	dnn	PROPN
cana-2484	260	8	architecture	architecture	NOUN
cana-2484	260	9	,	,	PUNCT
cana-2484	260	10	the	the	DET
cana-2484	260	11	system	system	NOUN
cana-2484	260	12	was	be	AUX
cana-2484	260	13	able	able	ADJ
cana-2484	260	14	to	to	PART
cana-2484	260	15	process	process	VERB
cana-2484	260	16	retinal	retinal	ADJ
cana-2484	260	17	images	image	NOUN
cana-2484	260	18	in	in	ADP
cana-2484	260	19	seconds	second	NOUN
cana-2484	260	20	.	.	PUNCT
cana-2484	261	1	in	in	ADP
cana-2484	261	2	either	either	DET
cana-2484	261	3	place	place	NOUN
cana-2484	261	4	,	,	PUNCT
cana-2484	261	5	this	this	DET
cana-2484	261	6	fast	fast	ADJ
cana-2484	261	7	process	process	NOUN
cana-2484	261	8	is	be	AUX
cana-2484	261	9	important	important	ADJ
cana-2484	261	10	as	as	SCONJ
cana-2484	261	11	it	it	PRON
cana-2484	261	12	can	can	AUX
cana-2484	261	13	be	be	AUX
cana-2484	261	14	time	time	NOUN
cana-2484	261	15	sensitive	sensitive	ADJ
cana-2484	261	16	in	in	ADP
cana-2484	261	17	a	a	DET
cana-2484	261	18	lot	lot	NOUN
cana-2484	261	19	of	of	ADP
cana-2484	261	20	clinics	clinic	NOUN
cana-2484	261	21	.	.	PUNCT
cana-2484	262	1	table	table	NOUN
cana-2484	262	2	5	5	NUM
cana-2484	262	3	:	:	PUNCT
cana-2484	262	4	detection	detection	NOUN
cana-2484	262	5	accuracy	accuracy	NOUN
cana-2484	262	6	for	for	ADP
cana-2484	262	7	different	different	ADJ
cana-2484	262	8	stages	stage	NOUN
cana-2484	262	9	of	of	ADP
cana-2484	262	10	diabetic	diabetic	ADJ
cana-2484	262	11	retinopathy	retinopathy	ADJ
cana-2484	262	12	dr	dr	PROPN
cana-2484	262	13	severity	severity	PROPN
cana-2484	262	14	stage	stage	NOUN
cana-2484	262	15	cnn	cnn	PROPN
cana-2484	262	16	(	(	PUNCT
cana-2484	262	17	%	%	INTJ
cana-2484	262	18	)	)	PUNCT
cana-2484	262	19	cnn	cnn	PROPN
cana-2484	263	1	+	+	CCONJ
cana-2484	263	2	fuzzy	fuzzy	ADJ
cana-2484	263	3	logic	logic	NOUN
cana-2484	263	4	(	(	PUNCT
cana-2484	263	5	%	%	INTJ
cana-2484	263	6	)	)	PUNCT
cana-2484	264	1	expert	expert	NOUN
cana-2484	264	2	diagnoses	diagnosis	NOUN
cana-2484	264	3	(	(	PUNCT
cana-2484	264	4	%	%	INTJ
cana-2484	264	5	)	)	PUNCT
cana-2484	265	1	no	no	PRON
cana-2484	265	2	dr	dr	PROPN
cana-2484	265	3	90	90	NUM
cana-2484	265	4	95	95	NUM
cana-2484	265	5	94	94	NUM
cana-2484	265	6	mild	mild	ADJ
cana-2484	265	7	dr	dr	PROPN
cana-2484	265	8	85	85	NUM
cana-2484	265	9	91	91	NUM
cana-2484	265	10	89	89	NUM
cana-2484	265	11	moderate	moderate	ADJ
cana-2484	265	12	dr	dr	PROPN
cana-2484	265	13	82	82	NUM
cana-2484	265	14	88	88	NUM
cana-2484	265	15	87	87	NUM
cana-2484	265	16	proliferative	proliferative	ADJ
cana-2484	265	17	dr	dr	PROPN
cana-2484	265	18	80	80	NUM
cana-2484	265	19	85	85	NUM
cana-2484	265	20	86	86	NUM
cana-2484	265	21	notably	notably	ADV
cana-2484	265	22	,	,	PUNCT
cana-2484	265	23	the	the	DET
cana-2484	265	24	addition	addition	NOUN
cana-2484	265	25	of	of	ADP
cana-2484	265	26	a	a	DET
cana-2484	265	27	fuzzy	fuzzy	ADJ
cana-2484	265	28	logic	logic	NOUN
cana-2484	265	29	component	component	NOUN
cana-2484	265	30	(	(	PUNCT
cana-2484	265	31	to	to	PART
cana-2484	265	32	address	address	VERB
cana-2484	265	33	uncertain	uncertain	ADJ
cana-2484	265	34	/	/	SYM
cana-2484	265	35	ambiguous	ambiguous	ADJ
cana-2484	265	36	cases	case	NOUN
cana-2484	265	37	)	)	PUNCT
cana-2484	265	38	did	do	AUX
cana-2484	265	39	not	not	PART
cana-2484	265	40	add	add	VERB
cana-2484	265	41	substantial	substantial	ADJ
cana-2484	265	42	computation	computation	NOUN
cana-2484	265	43	overhead	overhead	ADV
cana-2484	265	44	.	.	PUNCT
cana-2484	266	1	because	because	SCONJ
cana-2484	266	2	fuzzy	fuzzy	ADJ
cana-2484	266	3	logic	logic	NOUN
cana-2484	266	4	works	work	VERB
cana-2484	266	5	on	on	ADP
cana-2484	266	6	a	a	DET
cana-2484	266	7	predefined	predefine	VERB
cana-2484	266	8	set	set	NOUN
cana-2484	266	9	of	of	ADP
cana-2484	266	10	rules	rule	NOUN
cana-2484	266	11	,	,	PUNCT
cana-2484	266	12	it	it	PRON
cana-2484	266	13	is	be	AUX
cana-2484	266	14	lightweight	lightweight	ADJ
cana-2484	266	15	in	in	ADP
cana-2484	266	16	processing	processing	NOUN
cana-2484	266	17	power	power	NOUN
cana-2484	266	18	.	.	PUNCT
cana-2484	267	1	this	this	PRON
cana-2484	267	2	meant	mean	VERB
cana-2484	267	3	that	that	SCONJ
cana-2484	267	4	the	the	DET
cana-2484	267	5	system	system	NOUN
cana-2484	267	6	was	be	AUX
cana-2484	267	7	able	able	ADJ
cana-2484	267	8	to	to	PART
cana-2484	267	9	keep	keep	VERB
cana-2484	267	10	its	its	PRON
cana-2484	267	11	speed	speed	NOUN
cana-2484	267	12	and	and	CCONJ
cana-2484	267	13	efficiency	efficiency	NOUN
cana-2484	267	14	even	even	ADV
cana-2484	267	15	for	for	ADP
cana-2484	267	16	large	large	ADJ
cana-2484	267	17	datasets	dataset	NOUN
cana-2484	267	18	,	,	PUNCT
cana-2484	267	19	or	or	CCONJ
cana-2484	267	20	border	border	NOUN
cana-2484	267	21	cases	case	NOUN
cana-2484	267	22	.	.	PUNCT
cana-2484	268	1	it	it	PRON
cana-2484	268	2	allows	allow	VERB
cana-2484	268	3	the	the	DET
cana-2484	268	4	system	system	NOUN
cana-2484	268	5	to	to	PART
cana-2484	268	6	be	be	AUX
cana-2484	268	7	deployed	deploy	VERB
cana-2484	268	8	in	in	ADP
cana-2484	268	9	resource	resource	NOUN
cana-2484	268	10	-	-	PUNCT
cana-2484	268	11	constrained	constrain	VERB
cana-2484	268	12	environments	environment	NOUN
cana-2484	268	13	(	(	PUNCT
cana-2484	268	14	like	like	ADP
cana-2484	268	15	rural	rural	ADJ
cana-2484	268	16	clinics	clinic	NOUN
cana-2484	268	17	or	or	CCONJ
cana-2484	268	18	regions	region	NOUN
cana-2484	268	19	with	with	ADP
cana-2484	268	20	limited	limited	ADJ
cana-2484	268	21	access	access	NOUN
cana-2484	268	22	to	to	ADP
cana-2484	268	23	specialized	specialized	ADJ
cana-2484	268	24	healthcare	healthcare	PROPN
cana-2484	268	25	professionals	professional	NOUN
cana-2484	268	26	.	.	PUNCT
cana-2484	268	27	)	)	PUNCT
cana-2484	269	1	●	●	NUM
cana-2484	269	2	limitations	limitation	NOUN
cana-2484	269	3	and	and	CCONJ
cana-2484	269	4	future	future	ADJ
cana-2484	269	5	work	work	NOUN
cana-2484	269	6	however	however	ADV
cana-2484	269	7	,	,	PUNCT
cana-2484	269	8	despite	despite	SCONJ
cana-2484	269	9	promising	promise	VERB
cana-2484	269	10	results	result	NOUN
cana-2484	269	11	with	with	ADP
cana-2484	269	12	dnn	dnn	PROPN
cana-2484	269	13	and	and	CCONJ
cana-2484	269	14	fuzzy	fuzzy	ADJ
cana-2484	269	15	logic	logic	NOUN
cana-2484	269	16	system	system	NOUN
cana-2484	269	17	,	,	PUNCT
cana-2484	269	18	both	both	PRON
cana-2484	269	19	have	have	VERB
cana-2484	269	20	their	their	PRON
cana-2484	269	21	own	own	ADJ
cana-2484	269	22	shortcomings	shortcoming	NOUN
cana-2484	269	23	.	.	PUNCT
cana-2484	270	1	the	the	DET
cana-2484	270	2	system	system	NOUN
cana-2484	270	3	achieved	achieve	VERB
cana-2484	270	4	good	good	ADJ
cana-2484	270	5	sensitivity	sensitivity	NOUN
cana-2484	270	6	for	for	ADP
cana-2484	270	7	all	all	DET
cana-2484	270	8	referable	referable	ADJ
cana-2484	270	9	levels	level	NOUN
cana-2484	270	10	with	with	ADP
cana-2484	270	11	optimal	optimal	ADJ
cana-2484	270	12	specificity	specificity	NOUN
cana-2484	270	13	,	,	PUNCT
cana-2484	270	14	communications	communication	NOUN
cana-2484	270	15	on	on	ADP
cana-2484	270	16	applied	apply	VERB
cana-2484	270	17	nonlinear	nonlinear	ADJ
cana-2484	270	18	analysis	analysis	NOUN
cana-2484	270	19	issn	issn	NOUN
cana-2484	270	20	:	:	PUNCT
cana-2484	270	21	1074	1074	NUM
cana-2484	270	22	-	-	PUNCT
cana-2484	270	23	133x	133x	NUM
cana-2484	270	24	vol	vol	NOUN
cana-2484	270	25	32	32	NUM
cana-2484	270	26	no	no	NOUN
cana-2484	270	27	.	.	PUNCT
cana-2484	271	1	2s	2s	NUM
cana-2484	271	2	(	(	PUNCT
cana-2484	271	3	2025	2025	NUM
cana-2484	271	4	)	)	PUNCT
cana-2484	271	5	509	509	NUM
cana-2484	271	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2484	271	7	but	but	CCONJ
cana-2484	271	8	the	the	DET
cana-2484	271	9	accuracy	accuracy	NOUN
cana-2484	271	10	of	of	ADP
cana-2484	271	11	the	the	DET
cana-2484	271	12	whole	whole	ADJ
cana-2484	271	13	process	process	NOUN
cana-2484	271	14	was	be	AUX
cana-2484	271	15	highly	highly	ADV
cana-2484	271	16	dependent	dependent	ADJ
cana-2484	271	17	on	on	ADP
cana-2484	271	18	the	the	DET
cana-2484	271	19	quality	quality	NOUN
cana-2484	271	20	of	of	ADP
cana-2484	271	21	input	input	NOUN
cana-2484	271	22	images	image	NOUN
cana-2484	271	23	to	to	PART
cana-2484	271	24	detect	detect	VERB
cana-2484	271	25	late	late	ADJ
cana-2484	271	26	-	-	PUNCT
cana-2484	271	27	stage	stage	NOUN
cana-2484	271	28	diabetic	diabetic	ADJ
cana-2484	271	29	retinopathy	retinopathy	NOUN
cana-2484	271	30	.	.	PUNCT
cana-2484	272	1	in	in	ADP
cana-2484	272	2	this	this	DET
cana-2484	272	3	study	study	NOUN
cana-2484	272	4	,	,	PUNCT
cana-2484	272	5	for	for	ADP
cana-2484	272	6	cases	case	NOUN
cana-2484	272	7	where	where	SCONJ
cana-2484	272	8	subtle	subtle	ADJ
cana-2484	272	9	retinal	retinal	ADJ
cana-2484	272	10	features	feature	NOUN
cana-2484	272	11	contributed	contribute	VERB
cana-2484	272	12	to	to	ADP
cana-2484	272	13	making	make	VERB
cana-2484	272	14	the	the	DET
cana-2484	272	15	differential	differential	ADJ
cana-2484	272	16	diagnosis	diagnosis	NOUN
cana-2484	272	17	,	,	PUNCT
cana-2484	272	18	the	the	DET
cana-2484	272	19	lower	low	ADJ
cana-2484	272	20	resolution	resolution	NOUN
cana-2484	272	21	,	,	PUNCT
cana-2484	272	22	apparently	apparently	ADV
cana-2484	272	23	poor	poor	ADJ
cana-2484	272	24	quality	quality	NOUN
cana-2484	272	25	retinal	retinal	ADJ
cana-2484	272	26	images	image	NOUN
cana-2484	272	27	were	be	AUX
cana-2484	272	28	interpreted	interpret	VERB
cana-2484	272	29	with	with	ADP
cana-2484	272	30	substantially	substantially	ADV
cana-2484	272	31	less	less	ADJ
cana-2484	272	32	accuracy	accuracy	NOUN
cana-2484	272	33	by	by	ADP
cana-2484	272	34	independent	independent	ADJ
cana-2484	272	35	ophthalmologists	ophthalmologist	NOUN
cana-2484	272	36	than	than	ADP
cana-2484	272	37	the	the	DET
cana-2484	272	38	high	high	ADJ
cana-2484	272	39	-	-	PUNCT
cana-2484	272	40	resolution	resolution	NOUN
cana-2484	272	41	segmented	segment	VERB
cana-2484	272	42	lines	line	NOUN
cana-2484	272	43	.	.	PUNCT
cana-2484	273	1	this	this	PRON
cana-2484	273	2	reiterates	reiterate	VERB
cana-2484	273	3	the	the	DET
cana-2484	273	4	importance	importance	NOUN
cana-2484	273	5	of	of	ADP
cana-2484	273	6	best	good	ADJ
cana-2484	273	7	-	-	PUNCT
cana-2484	273	8	in	in	ADP
cana-2484	273	9	-	-	PUNCT
cana-2484	273	10	class	class	NOUN
cana-2484	273	11	imaging	imaging	NOUN
cana-2484	273	12	equipment	equipment	NOUN
cana-2484	273	13	and	and	CCONJ
cana-2484	273	14	standardized	standardized	ADJ
cana-2484	273	15	image	image	NOUN
cana-2484	273	16	acquisition	acquisition	NOUN
cana-2484	273	17	protocols	protocol	NOUN
cana-2484	273	18	to	to	PART
cana-2484	273	19	enable	enable	VERB
cana-2484	273	20	the	the	DET
cana-2484	273	21	system	system	NOUN
cana-2484	273	22	to	to	PART
cana-2484	273	23	work	work	VERB
cana-2484	273	24	effectively	effectively	ADV
cana-2484	273	25	across	across	ADP
cana-2484	273	26	a	a	DET
cana-2484	273	27	wide	wide	ADJ
cana-2484	273	28	spectrum	spectrum	NOUN
cana-2484	273	29	of	of	ADP
cana-2484	273	30	clinical	clinical	ADJ
cana-2484	273	31	scenarios	scenario	NOUN
cana-2484	273	32	.	.	PUNCT
cana-2484	274	1	table	table	NOUN
cana-2484	274	2	6	6	NUM
cana-2484	274	3	:	:	PUNCT
cana-2484	274	4	processing	processing	NOUN
cana-2484	274	5	time	time	NOUN
cana-2484	274	6	for	for	ADP
cana-2484	274	7	retinal	retinal	ADJ
cana-2484	274	8	image	image	NOUN
cana-2484	274	9	analysis	analysis	NOUN
cana-2484	274	10	model	model	NOUN
cana-2484	274	11	configuration	configuration	NOUN
cana-2484	274	12	average	average	ADJ
cana-2484	274	13	processing	processing	NOUN
cana-2484	274	14	time	time	NOUN
cana-2484	274	15	(	(	PUNCT
cana-2484	274	16	seconds	second	NOUN
cana-2484	274	17	)	)	PUNCT
cana-2484	274	18	hardware	hardware	NOUN
cana-2484	274	19	specification	specification	NOUN
cana-2484	274	20	cnn	cnn	PROPN
cana-2484	274	21	only	only	ADV
cana-2484	274	22	1.8	1.8	NUM
cana-2484	274	23	standard	standard	PROPN
cana-2484	274	24	gpu	gpu	PROPN
cana-2484	274	25	cnn	cnn	PROPN
cana-2484	274	26	+	+	CCONJ
cana-2484	274	27	fuzzy	fuzzy	ADJ
cana-2484	274	28	logic	logic	NOUN
cana-2484	274	29	2.2	2.2	NUM
cana-2484	274	30	standard	standard	NOUN
cana-2484	274	31	gpu	gpu	NOUN
cana-2484	274	32	expert	expert	NOUN
cana-2484	274	33	ophthalmologist	ophthalmologist	NOUN
cana-2484	274	34	15.0	15.0	NUM
cana-2484	274	35	n	n	NOUN
cana-2484	274	36	/	/	SYM
cana-2484	274	37	a	a	DET
cana-2484	274	38	a	a	DET
cana-2484	274	39	second	second	ADJ
cana-2484	274	40	restriction	restriction	NOUN
cana-2484	274	41	was	be	AUX
cana-2484	274	42	that	that	SCONJ
cana-2484	274	43	it	it	PRON
cana-2484	274	44	needed	need	VERB
cana-2484	274	45	to	to	PART
cana-2484	274	46	be	be	AUX
cana-2484	274	47	trained	train	VERB
cana-2484	274	48	on	on	ADP
cana-2484	274	49	a	a	DET
cana-2484	274	50	dnn	dnn	NOUN
cana-2484	274	51	with	with	ADP
cana-2484	274	52	large	large	ADJ
cana-2484	274	53	,	,	PUNCT
cana-2484	274	54	carefully	carefully	ADV
cana-2484	274	55	annotated	annotate	VERB
cana-2484	274	56	datasets	dataset	NOUN
cana-2484	274	57	.	.	PUNCT
cana-2484	275	1	retinal	retinal	ADJ
cana-2484	275	2	images	image	NOUN
cana-2484	275	3	with	with	ADP
cana-2484	275	4	accurate	accurate	ADJ
cana-2484	275	5	annotations	annotation	NOUN
cana-2484	275	6	captured	capture	VERB
cana-2484	275	7	by	by	ADP
cana-2484	275	8	high	high	ADJ
cana-2484	275	9	-	-	PUNCT
cana-2484	275	10	quality	quality	NOUN
cana-2484	275	11	fundus	fundus	NOUN
cana-2484	275	12	cameras	camera	NOUN
cana-2484	275	13	are	be	AUX
cana-2484	275	14	generally	generally	ADV
cana-2484	275	15	hard	hard	ADJ
cana-2484	275	16	to	to	PART
cana-2484	275	17	get	get	VERB
cana-2484	275	18	and	and	CCONJ
cana-2484	275	19	hardly	hardly	ADV
cana-2484	275	20	available	available	ADJ
cana-2484	275	21	especially	especially	ADV
cana-2484	275	22	in	in	ADP
cana-2484	275	23	low	low	ADJ
cana-2484	275	24	-	-	PUNCT
cana-2484	275	25	resource	resource	NOUN
cana-2484	275	26	or	or	CCONJ
cana-2484	275	27	nonnetwrked	nonnetwrke	VERB
cana-2484	275	28	regions	region	NOUN
cana-2484	275	29	.	.	PUNCT
cana-2484	276	1	the	the	DET
cana-2484	276	2	model	model	NOUN
cana-2484	276	3	performance	performance	NOUN
cana-2484	276	4	in	in	ADP
cana-2484	276	5	this	this	DET
cana-2484	276	6	case	case	NOUN
cana-2484	276	7	is	be	AUX
cana-2484	276	8	consequently	consequently	ADV
cana-2484	276	9	largely	largely	ADV
cana-2484	276	10	dependent	dependent	ADJ
cana-2484	276	11	on	on	ADP
cana-2484	276	12	the	the	DET
cana-2484	276	13	quality	quality	NOUN
cana-2484	276	14	and	and	CCONJ
cana-2484	276	15	volume	volume	NOUN
cana-2484	276	16	of	of	ADP
cana-2484	276	17	training	training	NOUN
cana-2484	276	18	data	datum	NOUN
cana-2484	276	19	,	,	PUNCT
cana-2484	276	20	which	which	PRON
cana-2484	276	21	creates	create	VERB
cana-2484	276	22	a	a	DET
cana-2484	276	23	barrier	barrier	NOUN
cana-2484	276	24	to	to	ADP
cana-2484	276	25	entry	entry	NOUN
cana-2484	276	26	for	for	ADP
cana-2484	276	27	broader	broad	ADJ
cana-2484	276	28	system	system	NOUN
cana-2484	276	29	adoption	adoption	NOUN
cana-2484	276	30	.	.	PUNCT
cana-2484	277	1	future	future	ADJ
cana-2484	277	2	work	work	NOUN
cana-2484	277	3	should	should	AUX
cana-2484	277	4	formulate	formulate	VERB
cana-2484	277	5	methods	method	NOUN
cana-2484	277	6	to	to	PART
cana-2484	277	7	make	make	VERB
cana-2484	277	8	the	the	DET
cana-2484	277	9	model	model	NOUN
cana-2484	277	10	more	more	ADV
cana-2484	277	11	robust	robust	ADJ
cana-2484	277	12	when	when	SCONJ
cana-2484	277	13	trained	train	VERB
cana-2484	277	14	on	on	ADP
cana-2484	277	15	smaller	small	ADJ
cana-2484	277	16	or	or	CCONJ
cana-2484	277	17	less	less	ADV
cana-2484	277	18	diverse	diverse	ADJ
cana-2484	277	19	datasets	dataset	NOUN
cana-2484	277	20	,	,	PUNCT
cana-2484	277	21	for	for	ADP
cana-2484	277	22	instance	instance	NOUN
cana-2484	277	23	by	by	ADP
cana-2484	277	24	considering	consider	VERB
cana-2484	277	25	data	datum	NOUN
cana-2484	277	26	augmentation	augmentation	NOUN
cana-2484	277	27	techniques	technique	NOUN
cana-2484	277	28	or	or	CCONJ
cana-2484	277	29	transfer	transfer	NOUN
cana-2484	277	30	learning	learning	NOUN
cana-2484	277	31	.	.	PUNCT
cana-2484	278	1	furthermore	furthermore	ADV
cana-2484	278	2	,	,	PUNCT
cana-2484	278	3	the	the	DET
cana-2484	278	4	system	system	NOUN
cana-2484	278	5	does	do	AUX
cana-2484	278	6	not	not	PART
cana-2484	278	7	handle	handle	VERB
cana-2484	278	8	complex	complex	ADJ
cana-2484	278	9	cases	case	NOUN
cana-2484	278	10	as	as	ADP
cana-2484	278	11	yet	yet	ADV
cana-2484	278	12	including	include	VERB
cana-2484	278	13	in	in	ADP
cana-2484	278	14	patients	patient	NOUN
cana-2484	278	15	with	with	ADP
cana-2484	278	16	co	co	ADJ
cana-2484	278	17	-	-	ADJ
cana-2484	278	18	morbid	morbid	ADJ
cana-2484	278	19	disease	disease	NOUN
cana-2484	278	20	or	or	CCONJ
cana-2484	278	21	mixed	mixed	ADJ
cana-2484	278	22	features	feature	NOUN
cana-2484	278	23	of	of	ADP
cana-2484	278	24	glaucoma	glaucoma	NOUN
cana-2484	278	25	and	and	CCONJ
cana-2484	278	26	retinopathy	retinopathy	ADJ
cana-2484	278	27	such	such	ADJ
cana-2484	278	28	as	as	ADP
cana-2484	278	29	diabetic	diabetic	ADJ
cana-2484	278	30	retinopathy	retinopathy	NOUN
cana-2484	278	31	.	.	PUNCT
cana-2484	279	1	the	the	DET
cana-2484	279	2	existing	exist	VERB
cana-2484	279	3	model	model	NOUN
cana-2484	279	4	is	be	AUX
cana-2484	279	5	rather	rather	ADV
cana-2484	279	6	specialized	specialized	ADJ
cana-2484	279	7	to	to	PART
cana-2484	279	8	detect	detect	VERB
cana-2484	279	9	and	and	CCONJ
cana-2484	279	10	classify	classify	VERB
cana-2484	279	11	these	these	DET
cana-2484	279	12	conditions	condition	NOUN
cana-2484	279	13	in	in	ADP
cana-2484	279	14	isolation	isolation	NOUN
cana-2484	279	15	,	,	PUNCT
cana-2484	279	16	however	however	ADV
cana-2484	279	17	clinical	clinical	ADJ
cana-2484	279	18	cases	case	NOUN
cana-2484	279	19	are	be	AUX
cana-2484	279	20	often	often	ADV
cana-2484	279	21	more	more	ADV
cana-2484	279	22	complex	complex	ADJ
cana-2484	279	23	involving	involve	VERB
cana-2484	279	24	coexistence	coexistence	NOUN
cana-2484	279	25	of	of	ADP
cana-2484	279	26	several	several	ADJ
cana-2484	279	27	overlapping	overlap	VERB
cana-2484	279	28	disorders	disorder	NOUN
cana-2484	279	29	that	that	PRON
cana-2484	279	30	may	may	AUX
cana-2484	279	31	hinder	hinder	VERB
cana-2484	279	32	the	the	DET
cana-2484	279	33	diagnosis	diagnosis	NOUN
cana-2484	279	34	.	.	PUNCT
cana-2484	280	1	the	the	DET
cana-2484	280	2	researchers	researcher	NOUN
cana-2484	280	3	hoped	hope	VERB
cana-2484	280	4	that	that	SCONJ
cana-2484	280	5	by	by	ADP
cana-2484	280	6	combining	combine	VERB
cana-2484	280	7	dozens	dozen	NOUN
cana-2484	280	8	of	of	ADP
cana-2484	280	9	genetic	genetic	ADJ
cana-2484	280	10	profiles	profile	NOUN
cana-2484	280	11	into	into	ADP
cana-2484	280	12	one	one	NUM
cana-2484	280	13	,	,	PUNCT
cana-2484	280	14	the	the	DET
cana-2484	280	15	integrated	integrated	ADJ
cana-2484	280	16	model	model	NOUN
cana-2484	280	17	would	would	AUX
cana-2484	280	18	be	be	AUX
cana-2484	280	19	robust	robust	ADJ
cana-2484	280	20	enough	enough	ADV
cana-2484	280	21	to	to	PART
cana-2484	280	22	tame	tame	VERB
cana-2484	280	23	many	many	ADJ
cana-2484	280	24	complex	complex	ADJ
cana-2484	280	25	cases	case	NOUN
cana-2484	280	26	without	without	ADP
cana-2484	280	27	falling	fall	VERB
cana-2484	280	28	too	too	ADV
cana-2484	280	29	far	far	ADV
cana-2484	280	30	short	short	ADJ
cana-2484	280	31	of	of	ADP
cana-2484	280	32	established	establish	VERB
cana-2484	280	33	diagnostic	diagnostic	ADJ
cana-2484	280	34	criteria	criterion	NOUN
cana-2484	280	35	and	and	CCONJ
cana-2484	280	36	could	could	AUX
cana-2484	280	37	potentially	potentially	ADV
cana-2484	280	38	be	be	AUX
cana-2484	280	39	improved	improve	VERB
cana-2484	280	40	upon	upon	SCONJ
cana-2484	280	41	in	in	ADP
cana-2484	280	42	future	future	ADJ
cana-2484	280	43	iterations	iteration	NOUN
cana-2484	280	44	by	by	ADP
cana-2484	280	45	including	include	VERB
cana-2484	280	46	other	other	ADJ
cana-2484	280	47	kinds	kind	NOUN
cana-2484	280	48	of	of	ADP
cana-2484	280	49	diagnostic	diagnostic	ADJ
cana-2484	280	50	criteria	criterion	NOUN
cana-2484	280	51	as	as	ADV
cana-2484	280	52	well	well	ADV
cana-2484	280	53	(	(	PUNCT
cana-2484	280	54	e.g.	e.g.	ADV
cana-2484	280	55	,	,	PUNCT
cana-2484	280	56	medical	medical	ADJ
cana-2484	280	57	history	history	NOUN
cana-2484	280	58	or	or	CCONJ
cana-2484	280	59	demographic	demographic	ADJ
cana-2484	280	60	information	information	NOUN
cana-2484	280	61	)	)	PUNCT
cana-2484	280	62	.	.	PUNCT
cana-2484	281	1	●	●	PUNCT
cana-2484	281	2	implications	implication	NOUN
cana-2484	281	3	for	for	ADP
cana-2484	281	4	ethics	ethic	NOUN
cana-2484	281	5	and	and	CCONJ
cana-2484	281	6	clinical	clinical	ADJ
cana-2484	281	7	practice	practice	NOUN
cana-2484	281	8	the	the	DET
cana-2484	281	9	implementation	implementation	NOUN
cana-2484	281	10	of	of	ADP
cana-2484	281	11	artificial	artificial	ADJ
cana-2484	281	12	intelligence	intelligence	NOUN
cana-2484	281	13	(	(	PUNCT
cana-2484	281	14	ai	ai	NOUN
cana-2484	281	15	)	)	PUNCT
cana-2484	281	16	systems	system	NOUN
cana-2484	281	17	in	in	ADP
cana-2484	281	18	healthcare	healthcare	PROPN
cana-2484	281	19	naturally	naturally	ADV
cana-2484	281	20	comes	come	VERB
cana-2484	281	21	with	with	ADP
cana-2484	281	22	considerable	considerable	ADJ
cana-2484	281	23	clinical	clinical	ADJ
cana-2484	281	24	and	and	CCONJ
cana-2484	281	25	ethical	ethical	ADJ
cana-2484	281	26	implications	implication	NOUN
cana-2484	281	27	.	.	PUNCT
cana-2484	282	1	transparency	transparency	NOUN
cana-2484	282	2	and	and	CCONJ
cana-2484	282	3	interpretability	interpretability	NOUN
cana-2484	282	4	of	of	ADP
cana-2484	282	5	ai	ai	VERB
cana-2484	282	6	diagnoses	diagnosis	NOUN
cana-2484	282	7	are	be	AUX
cana-2484	282	8	among	among	ADP
cana-2484	282	9	the	the	DET
cana-2484	282	10	major	major	ADJ
cana-2484	282	11	worries	worry	NOUN
cana-2484	282	12	.	.	PUNCT
cana-2484	283	1	although	although	SCONJ
cana-2484	283	2	extending	extend	VERB
cana-2484	283	3	the	the	DET
cana-2484	283	4	integration	integration	NOUN
cana-2484	283	5	of	of	ADP
cana-2484	283	6	fuzzy	fuzzy	ADJ
cana-2484	283	7	logic	logic	NOUN
cana-2484	283	8	has	have	AUX
cana-2484	283	9	alleviated	alleviate	VERB
cana-2484	283	10	some	some	PRON
cana-2484	283	11	of	of	ADP
cana-2484	283	12	these	these	DET
cana-2484	283	13	issues	issue	NOUN
cana-2484	283	14	by	by	ADP
cana-2484	283	15	creating	create	VERB
cana-2484	283	16	an	an	DET
cana-2484	283	17	output	output	NOUN
cana-2484	283	18	that	that	PRON
cana-2484	283	19	is	be	AUX
cana-2484	283	20	more	more	ADV
cana-2484	283	21	intuitive	intuitive	ADJ
cana-2484	283	22	,	,	PUNCT
cana-2484	283	23	there	there	PRON
cana-2484	283	24	remains	remain	VERB
cana-2484	283	25	a	a	DET
cana-2484	283	26	need	need	NOUN
cana-2484	283	27	for	for	ADP
cana-2484	283	28	clinicians	clinician	NOUN
cana-2484	283	29	to	to	PART
cana-2484	283	30	grasp	grasp	VERB
cana-2484	283	31	how	how	SCONJ
cana-2484	283	32	the	the	DET
cana-2484	283	33	system	system	NOUN
cana-2484	283	34	makes	make	VERB
cana-2484	283	35	its	its	PRON
cana-2484	283	36	decisions	decision	NOUN
cana-2484	283	37	.	.	PUNCT
cana-2484	284	1	to	to	PART
cana-2484	284	2	gain	gain	VERB
cana-2484	284	3	the	the	DET
cana-2484	284	4	trust	trust	NOUN
cana-2484	284	5	of	of	ADP
cana-2484	284	6	healthcare	healthcare	NOUN
cana-2484	284	7	providers	provider	NOUN
cana-2484	284	8	and	and	CCONJ
cana-2484	284	9	patients	patient	NOUN
cana-2484	284	10	,	,	PUNCT
cana-2484	284	11	it	it	PRON
cana-2484	284	12	must	must	AUX
cana-2484	284	13	be	be	AUX
cana-2484	284	14	ensured	ensure	VERB
cana-2484	284	15	that	that	SCONJ
cana-2484	284	16	the	the	DET
cana-2484	284	17	system	system	NOUN
cana-2484	284	18	is	be	AUX
cana-2484	284	19	transparent	transparent	ADJ
cana-2484	284	20	and	and	CCONJ
cana-2484	284	21	explainable	explainable	ADJ
cana-2484	284	22	.	.	PUNCT
cana-2484	285	1	table	table	NOUN
cana-2484	285	2	7	7	NUM
cana-2484	285	3	:	:	PUNCT
cana-2484	285	4	impact	impact	NOUN
cana-2484	285	5	of	of	ADP
cana-2484	285	6	image	image	NOUN
cana-2484	285	7	quality	quality	NOUN
cana-2484	285	8	on	on	ADP
cana-2484	285	9	detection	detection	NOUN
cana-2484	285	10	accuracy	accuracy	NOUN
cana-2484	285	11	image	image	NOUN
cana-2484	285	12	quality	quality	NOUN
cana-2484	285	13	cnn	cnn	PROPN
cana-2484	285	14	only	only	ADV
cana-2484	285	15	accuracy	accuracy	NOUN
cana-2484	285	16	(	(	PUNCT
cana-2484	285	17	%	%	INTJ
cana-2484	285	18	)	)	PUNCT
cana-2484	285	19	cnn	cnn	PROPN
cana-2484	286	1	+	+	CCONJ
cana-2484	286	2	fuzzy	fuzzy	ADJ
cana-2484	286	3	logic	logic	NOUN
cana-2484	286	4	accuracy	accuracy	NOUN
cana-2484	286	5	(	(	PUNCT
cana-2484	286	6	%	%	INTJ
cana-2484	286	7	)	)	PUNCT
cana-2484	286	8	high	high	ADJ
cana-2484	286	9	90	90	NUM
cana-2484	286	10	94	94	NUM
cana-2484	286	11	medium	medium	NOUN
cana-2484	286	12	85	85	NUM
cana-2484	286	13	88	88	NUM
cana-2484	286	14	low	low	ADJ
cana-2484	286	15	70	70	NUM
cana-2484	286	16	75	75	NUM
cana-2484	286	17	the	the	DET
cana-2484	286	18	other	other	ADJ
cana-2484	286	19	ethical	ethical	ADJ
cana-2484	286	20	issue	issue	NOUN
cana-2484	286	21	is	be	AUX
cana-2484	286	22	ai	ai	PROPN
cana-2484	286	23	models	model	NOUN
cana-2484	286	24	might	might	AUX
cana-2484	286	25	make	make	VERB
cana-2484	286	26	biased	biased	ADJ
cana-2484	286	27	decisions	decision	NOUN
cana-2484	286	28	.	.	PUNCT
cana-2484	287	1	our	our	PRON
cana-2484	287	2	dnn	dnn	PROPN
cana-2484	287	3	system	system	NOUN
cana-2484	287	4	was	be	AUX
cana-2484	287	5	trained	train	VERB
cana-2484	287	6	on	on	ADP
cana-2484	287	7	a	a	DET
cana-2484	287	8	sizable	sizable	ADJ
cana-2484	287	9	dataset	dataset	NOUN
cana-2484	287	10	of	of	ADP
cana-2484	287	11	retinal	retinal	ADJ
cana-2484	287	12	images	image	NOUN
cana-2484	287	13	;	;	PUNCT
cana-2484	287	14	nevertheless	nevertheless	ADV
cana-2484	287	15	,	,	PUNCT
cana-2484	287	16	this	this	DET
cana-2484	287	17	dataset	dataset	NOUN
cana-2484	287	18	may	may	AUX
cana-2484	287	19	be	be	AUX
cana-2484	287	20	incomplete	incomplete	ADJ
cana-2484	287	21	and	and	CCONJ
cana-2484	287	22	not	not	PART
cana-2484	287	23	perfectly	perfectly	ADV
cana-2484	287	24	represent	represent	VERB
cana-2484	287	25	all	all	DET
cana-2484	287	26	patients	patient	NOUN
cana-2484	287	27	.	.	PUNCT
cana-2484	288	1	for	for	ADP
cana-2484	288	2	instance	instance	NOUN
cana-2484	288	3	,	,	PUNCT
cana-2484	288	4	patients	patient	NOUN
cana-2484	288	5	with	with	ADP
cana-2484	288	6	low	low	ADJ
cana-2484	288	7	representation	representation	NOUN
cana-2484	288	8	or	or	CCONJ
cana-2484	288	9	rare	rare	ADJ
cana-2484	288	10	retinal	retinal	ADJ
cana-2484	288	11	conditions	condition	NOUN
cana-2484	288	12	may	may	AUX
cana-2484	288	13	not	not	PART
cana-2484	288	14	get	get	AUX
cana-2484	288	15	captured	capture	VERB
cana-2484	288	16	as	as	ADV
cana-2484	288	17	well	well	ADV
cana-2484	288	18	in	in	ADP
cana-2484	288	19	the	the	DET
cana-2484	288	20	training	training	NOUN
cana-2484	288	21	data	datum	NOUN
cana-2484	288	22	leading	lead	VERB
cana-2484	288	23	to	to	ADP
cana-2484	288	24	diagnosis	diagnosis	NOUN
cana-2484	288	25	accuracy	accuracy	NOUN
cana-2484	288	26	disparities	disparity	NOUN
cana-2484	288	27	.	.	PUNCT
cana-2484	289	1	additional	additional	ADJ
cana-2484	289	2	research	research	NOUN
cana-2484	289	3	communications	communication	NOUN
cana-2484	289	4	on	on	ADP
cana-2484	289	5	applied	apply	VERB
cana-2484	289	6	nonlinear	nonlinear	ADJ
cana-2484	289	7	analysis	analysis	NOUN
cana-2484	289	8	issn	issn	NOUN
cana-2484	289	9	:	:	PUNCT
cana-2484	289	10	1074	1074	NUM
cana-2484	289	11	-	-	PUNCT
cana-2484	289	12	133x	133x	NUM
cana-2484	289	13	vol	vol	NOUN
cana-2484	289	14	32	32	NUM
cana-2484	289	15	no	no	NOUN
cana-2484	289	16	.	.	PUNCT
cana-2484	290	1	2s	2s	NUM
cana-2484	290	2	(	(	PUNCT
cana-2484	290	3	2025	2025	NUM
cana-2484	290	4	)	)	PUNCT
cana-2484	290	5	510	510	NUM
cana-2484	290	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2484	290	7	should	should	AUX
cana-2484	290	8	aim	aim	VERB
cana-2484	290	9	to	to	PART
cana-2484	290	10	include	include	VERB
cana-2484	290	11	a	a	DET
cana-2484	290	12	broad	broad	ADJ
cana-2484	290	13	and	and	CCONJ
cana-2484	290	14	representative	representative	ADJ
cana-2484	290	15	set	set	NOUN
cana-2484	290	16	of	of	ADP
cana-2484	290	17	training	training	NOUN
cana-2484	290	18	trials	trial	NOUN
cana-2484	290	19	for	for	ADP
cana-2484	290	20	the	the	DET
cana-2484	290	21	model	model	NOUN
cana-2484	290	22	,	,	PUNCT
cana-2484	290	23	in	in	ADP
cana-2484	290	24	order	order	NOUN
cana-2484	290	25	to	to	PART
cana-2484	290	26	achieve	achieve	VERB
cana-2484	290	27	equal	equal	ADJ
cana-2484	290	28	performance	performance	NOUN
cana-2484	290	29	among	among	ADP
cana-2484	290	30	all	all	DET
cana-2484	290	31	patient	patient	ADJ
cana-2484	290	32	groups	group	NOUN
cana-2484	290	33	.	.	PUNCT
cana-2484	291	1	in	in	ADP
cana-2484	291	2	addition	addition	NOUN
cana-2484	291	3	,	,	PUNCT
cana-2484	291	4	human	human	ADJ
cana-2484	291	5	oversight	oversight	NOUN
cana-2484	291	6	must	must	AUX
cana-2484	291	7	be	be	AUX
cana-2484	291	8	carefully	carefully	ADV
cana-2484	291	9	weighed	weigh	VERB
cana-2484	291	10	when	when	SCONJ
cana-2484	291	11	integrating	integrate	VERB
cana-2484	291	12	ai	ai	VERB
cana-2484	291	13	with	with	ADP
cana-2484	291	14	clinical	clinical	ADJ
cana-2484	291	15	workflows	workflow	NOUN
cana-2484	291	16	.	.	PUNCT
cana-2484	292	1	this	this	DET
cana-2484	292	2	super	super	ADJ
cana-2484	292	3	-	-	ADJ
cana-2484	292	4	fancy	fancy	ADJ
cana-2484	292	5	system	system	NOUN
cana-2484	292	6	is	be	AUX
cana-2484	292	7	great	great	ADJ
cana-2484	292	8	for	for	ADP
cana-2484	292	9	catching	catch	VERB
cana-2484	292	10	problems	problem	NOUN
cana-2484	292	11	early	early	ADV
cana-2484	292	12	on	on	ADV
cana-2484	292	13	,	,	PUNCT
cana-2484	292	14	and	and	CCONJ
cana-2484	292	15	providing	provide	VERB
cana-2484	292	16	an	an	DET
cana-2484	292	17	idea	idea	NOUN
cana-2484	292	18	of	of	ADP
cana-2484	292	19	what	what	PRON
cana-2484	292	20	your	your	PRON
cana-2484	292	21	issue	issue	NOUN
cana-2484	292	22	might	might	AUX
cana-2484	292	23	be	be	AUX
cana-2484	292	24	but	but	CCONJ
cana-2484	292	25	it	it	PRON
cana-2484	292	26	's	be	AUX
cana-2484	292	27	meant	mean	VERB
cana-2484	292	28	to	to	PART
cana-2484	292	29	complement	complement	VERB
cana-2484	292	30	the	the	DET
cana-2484	292	31	work	work	NOUN
cana-2484	292	32	of	of	ADP
cana-2484	292	33	professionals	professional	NOUN
cana-2484	292	34	rather	rather	ADV
cana-2484	292	35	than	than	ADP
cana-2484	292	36	replace	replace	VERB
cana-2484	292	37	their	their	PRON
cana-2484	292	38	expertise	expertise	NOUN
cana-2484	292	39	.	.	PUNCT
cana-2484	293	1	rather	rather	ADV
cana-2484	293	2	it	it	PRON
cana-2484	293	3	should	should	AUX
cana-2484	293	4	be	be	AUX
cana-2484	293	5	utilized	utilize	VERB
cana-2484	293	6	as	as	ADP
cana-2484	293	7	a	a	DET
cana-2484	293	8	decision	decision	NOUN
cana-2484	293	9	support	support	NOUN
cana-2484	293	10	tool	tool	NOUN
cana-2484	293	11	that	that	PRON
cana-2484	293	12	complements	complement	VERB
cana-2484	293	13	the	the	DET
cana-2484	293	14	decision	decision	NOUN
cana-2484	293	15	-	-	PUNCT
cana-2484	293	16	making	make	VERB
cana-2484	293	17	capabilities	capability	NOUN
cana-2484	293	18	of	of	ADP
cana-2484	293	19	an	an	DET
cana-2484	293	20	expert	expert	ADJ
cana-2484	293	21	clinician	clinician	NOUN
cana-2484	293	22	.	.	PUNCT
cana-2484	294	1	maintaining	maintain	VERB
cana-2484	294	2	ethical	ethical	ADJ
cana-2484	294	3	standards	standard	NOUN
cana-2484	294	4	in	in	ADP
cana-2484	294	5	patient	patient	ADJ
cana-2484	294	6	care	care	NOUN
cana-2484	294	7	requires	require	VERB
cana-2484	294	8	that	that	SCONJ
cana-2484	294	9	clinicians	clinician	NOUN
cana-2484	294	10	stay	stay	VERB
cana-2484	294	11	in	in	ADP
cana-2484	294	12	charge	charge	NOUN
cana-2484	294	13	of	of	ADP
cana-2484	294	14	the	the	DET
cana-2484	294	15	final	final	ADJ
cana-2484	294	16	diagnosis	diagnosis	NOUN
cana-2484	294	17	and	and	CCONJ
cana-2484	294	18	treatment	treatment	NOUN
cana-2484	294	19	plan	plan	NOUN
cana-2484	294	20	.	.	PUNCT
cana-2484	295	1	5	5	X
cana-2484	295	2	.	.	X
cana-2484	295	3	conclusion	conclusion	NOUN
cana-2484	295	4	:	:	PUNCT
cana-2484	295	5	the	the	DET
cana-2484	295	6	application	application	NOUN
cana-2484	295	7	of	of	ADP
cana-2484	295	8	dnns	dnn	NOUN
cana-2484	295	9	and	and	CCONJ
cana-2484	295	10	fuzzy	fuzzy	ADJ
cana-2484	295	11	logic	logic	NOUN
cana-2484	295	12	in	in	ADP
cana-2484	295	13	the	the	DET
cana-2484	295	14	primary	primary	ADJ
cana-2484	295	15	care	care	NOUN
cana-2484	295	16	of	of	ADP
cana-2484	295	17	glaucoma	glaucoma	NOUN
cana-2484	295	18	patients	patient	NOUN
cana-2484	295	19	offers	offer	VERB
cana-2484	295	20	a	a	DET
cana-2484	295	21	giant	giant	ADJ
cana-2484	295	22	leap	leap	NOUN
cana-2484	295	23	in	in	ADP
cana-2484	295	24	ophthalmic	ophthalmic	ADJ
cana-2484	295	25	diagnostics	diagnostic	NOUN
cana-2484	295	26	,	,	PUNCT
cana-2484	295	27	which	which	PRON
cana-2484	295	28	has	have	AUX
cana-2484	295	29	facilitated	facilitate	VERB
cana-2484	295	30	to	to	PART
cana-2484	295	31	soonest	soonest	VERB
cana-2484	295	32	detection	detection	NOUN
cana-2484	295	33	as	as	ADV
cana-2484	295	34	well	well	ADV
cana-2484	295	35	as	as	ADP
cana-2484	295	36	treatment	treatment	NOUN
cana-2484	295	37	over	over	ADP
cana-2484	295	38	others	other	NOUN
cana-2484	295	39	under	under	ADP
cana-2484	295	40	management	management	NOUN
cana-2484	295	41	.	.	PUNCT
cana-2484	296	1	the	the	DET
cana-2484	296	2	two	two	NUM
cana-2484	296	3	condition	condition	NOUN
cana-2484	296	4	are	be	AUX
cana-2484	296	5	leading	lead	VERB
cana-2484	296	6	cause	cause	NOUN
cana-2484	296	7	of	of	ADP
cana-2484	296	8	the	the	DET
cana-2484	296	9	irreversible	irreversible	ADJ
cana-2484	296	10	vision	vision	NOUN
cana-2484	296	11	impairment	impairment	NOUN
cana-2484	296	12	and	and	CCONJ
cana-2484	296	13	blindness	blindness	NOUN
cana-2484	296	14	worldwide	worldwide	ADV
cana-2484	296	15	.	.	PUNCT
cana-2484	297	1	the	the	DET
cana-2484	297	2	conventional	conventional	ADJ
cana-2484	297	3	diagnostic	diagnostic	NOUN
cana-2484	297	4	may	may	AUX
cana-2484	297	5	be	be	AUX
cana-2484	297	6	good	good	ADJ
cana-2484	297	7	in	in	ADP
cana-2484	297	8	earlier	early	ADJ
cana-2484	297	9	days	day	NOUN
cana-2484	297	10	,	,	PUNCT
cana-2484	297	11	but	but	CCONJ
cana-2484	297	12	it	it	PRON
cana-2484	297	13	has	have	AUX
cana-2484	297	14	prone	prone	ADJ
cana-2484	297	15	to	to	ADP
cana-2484	297	16	the	the	DET
cana-2484	297	17	limitations	limitation	NOUN
cana-2484	297	18	like	like	ADP
cana-2484	297	19	subjective	subjective	ADJ
cana-2484	297	20	analysis	analysis	NOUN
cana-2484	297	21	by	by	ADP
cana-2484	297	22	doctors	doctor	NOUN
cana-2484	297	23	based	base	VERB
cana-2484	297	24	on	on	ADP
cana-2484	297	25	image	image	NOUN
cana-2484	297	26	,	,	PUNCT
cana-2484	297	27	also	also	ADV
cana-2484	297	28	manual	manual	ADJ
cana-2484	297	29	evaluations	evaluation	NOUN
cana-2484	297	30	which	which	PRON
cana-2484	297	31	is	be	AUX
cana-2484	297	32	tedious	tedious	ADJ
cana-2484	297	33	and	and	CCONJ
cana-2484	297	34	time	time	NOUN
cana-2484	297	35	consuming	consume	VERB
cana-2484	297	36	.	.	PUNCT
cana-2484	298	1	in	in	ADP
cana-2484	298	2	this	this	DET
cana-2484	298	3	research	research	NOUN
cana-2484	298	4	,	,	PUNCT
cana-2484	298	5	effort	effort	NOUN
cana-2484	298	6	has	have	AUX
cana-2484	298	7	been	be	AUX
cana-2484	298	8	put	put	VERB
cana-2484	298	9	into	into	ADP
cana-2484	298	10	combine	combine	VERB
cana-2484	298	11	the	the	DET
cana-2484	298	12	strength	strength	NOUN
cana-2484	298	13	of	of	ADP
cana-2484	298	14	deep	deep	ADJ
cana-2484	298	15	learning	learning	NOUN
cana-2484	298	16	and	and	CCONJ
cana-2484	298	17	fuzzy	fuzzy	ADJ
cana-2484	298	18	logic	logic	NOUN
cana-2484	298	19	based	base	VERB
cana-2484	298	20	human	human	ADJ
cana-2484	298	21	like	like	ADP
cana-2484	298	22	reasoning	reasoning	NOUN
cana-2484	298	23	capability	capability	NOUN
cana-2484	298	24	for	for	ADP
cana-2484	298	25	development	development	NOUN
cana-2484	298	26	of	of	ADP
cana-2484	298	27	automated	automate	VERB
cana-2484	298	28	,	,	PUNCT
cana-2484	298	29	accurate	accurate	ADJ
cana-2484	298	30	and	and	CCONJ
cana-2484	298	31	interpret	interpret	VERB
cana-2484	298	32	able	able	ADJ
cana-2484	298	33	diagnostic	diagnostic	ADJ
cana-2484	298	34	system	system	NOUN
cana-2484	298	35	.	.	PUNCT
cana-2484	299	1	●	●	PUNCT
cana-2484	299	2	deep	deep	ADJ
cana-2484	299	3	neural	neural	ADJ
cana-2484	299	4	networks	network	NOUN
cana-2484	299	5	'	'	PART
cana-2484	299	6	power	power	NOUN
cana-2484	299	7	:	:	PUNCT
cana-2484	299	8	deep	deep	ADJ
cana-2484	299	9	learning	learning	NOUN
cana-2484	299	10	models	model	NOUN
cana-2484	299	11	,	,	PUNCT
cana-2484	299	12	specifically	specifically	ADV
cana-2484	299	13	dnns	dnns	ADJ
cana-2484	299	14	and	and	CCONJ
cana-2484	299	15	even	even	ADV
cana-2484	299	16	more	more	ADV
cana-2484	299	17	so	so	ADV
cana-2484	299	18	convolutional	convolutional	ADJ
cana-2484	299	19	neural	neural	ADJ
cana-2484	299	20	networks	network	NOUN
cana-2484	299	21	(	(	PUNCT
cana-2484	299	22	cnns	cnns	PROPN
cana-2484	299	23	)	)	PUNCT
cana-2484	299	24	,	,	PUNCT
cana-2484	299	25	have	have	AUX
cana-2484	299	26	shown	show	VERB
cana-2484	299	27	considerable	considerable	ADJ
cana-2484	299	28	success	success	NOUN
cana-2484	299	29	in	in	ADP
cana-2484	299	30	analyzing	analyze	VERB
cana-2484	299	31	complex	complex	ADJ
cana-2484	299	32	medical	medical	ADJ
cana-2484	299	33	images	image	NOUN
cana-2484	299	34	.	.	PUNCT
cana-2484	300	1	in	in	ADP
cana-2484	300	2	this	this	DET
cana-2484	300	3	study	study	NOUN
cana-2484	300	4	we	we	PRON
cana-2484	300	5	used	use	VERB
cana-2484	300	6	cnns	cnn	NOUN
cana-2484	300	7	to	to	PART
cana-2484	300	8	capture	capture	VERB
cana-2484	300	9	fine	fine	ADJ
cana-2484	300	10	features	feature	NOUN
cana-2484	300	11	in	in	ADP
cana-2484	300	12	retinal	retinal	ADJ
cana-2484	300	13	images	image	NOUN
cana-2484	300	14	,	,	PUNCT
cana-2484	300	15	which	which	PRON
cana-2484	300	16	often	often	ADV
cana-2484	300	17	are	be	AUX
cana-2484	300	18	not	not	PART
cana-2484	300	19	readily	readily	ADV
cana-2484	300	20	apparent	apparent	ADJ
cana-2484	300	21	from	from	ADP
cana-2484	300	22	conventional	conventional	ADJ
cana-2484	300	23	image	image	NOUN
cana-2484	300	24	-	-	PUNCT
cana-2484	300	25	based	base	VERB
cana-2484	300	26	approaches	approach	NOUN
cana-2484	300	27	.	.	PUNCT
cana-2484	301	1	this	this	DET
cana-2484	301	2	hierarchical	hierarchical	ADJ
cana-2484	301	3	structure	structure	NOUN
cana-2484	301	4	combined	combine	VERB
cana-2484	301	5	with	with	ADP
cana-2484	301	6	backpropagation	backpropagation	NOUN
cana-2484	301	7	,	,	PUNCT
cana-2484	301	8	mimicking	mimic	VERB
cana-2484	301	9	the	the	DET
cana-2484	301	10	visual	visual	ADJ
cana-2484	301	11	processing	processing	NOUN
cana-2484	301	12	resembles	resemble	VERB
cana-2484	301	13	human	human	ADJ
cana-2484	301	14	brain	brain	NOUN
cana-2484	301	15	which	which	PRON
cana-2484	301	16	starting	start	VERB
cana-2484	301	17	from	from	ADP
cana-2484	301	18	basic	basic	ADJ
cana-2484	301	19	shapes	shape	NOUN
cana-2484	301	20	that	that	PRON
cana-2484	301	21	can	can	AUX
cana-2484	301	22	be	be	AUX
cana-2484	301	23	found	find	VERB
cana-2484	301	24	in	in	ADP
cana-2484	301	25	early	early	ADJ
cana-2484	301	26	layers	layer	NOUN
cana-2484	301	27	responds	respond	VERB
cana-2484	301	28	to	to	ADP
cana-2484	301	29	specific	specific	ADJ
cana-2484	301	30	complex	complex	ADJ
cana-2484	301	31	features	feature	NOUN
cana-2484	301	32	such	such	ADJ
cana-2484	301	33	as	as	ADP
cana-2484	301	34	optic	optic	ADJ
cana-2484	301	35	nerve	nerve	NOUN
cana-2484	301	36	head	head	NOUN
cana-2484	301	37	deformation	deformation	NOUN
cana-2484	301	38	and	and	CCONJ
cana-2484	301	39	microaneurysms	microaneurysm	NOUN
cana-2484	301	40	in	in	ADP
cana-2484	301	41	later	later	ADJ
cana-2484	301	42	layers	layer	NOUN
cana-2484	301	43	.	.	PUNCT
cana-2484	302	1	this	this	DET
cana-2484	302	2	approach	approach	NOUN
cana-2484	302	3	has	have	AUX
cana-2484	302	4	shown	show	VERB
cana-2484	302	5	impressive	impressive	ADJ
cana-2484	302	6	diagnostic	diagnostic	ADJ
cana-2484	302	7	performance	performance	NOUN
cana-2484	302	8	in	in	ADP
cana-2484	302	9	practice	practice	NOUN
cana-2484	302	10	,	,	PUNCT
cana-2484	302	11	to	to	ADP
cana-2484	302	12	the	the	DET
cana-2484	302	13	level	level	NOUN
cana-2484	302	14	of	of	ADP
cana-2484	302	15	competing	compete	VERB
cana-2484	302	16	with	with	ADP
cana-2484	302	17	and	and	CCONJ
cana-2484	302	18	even	even	ADV
cana-2484	302	19	outperforming	outperform	VERB
cana-2484	302	20	human	human	ADJ
cana-2484	302	21	experts	expert	NOUN
cana-2484	302	22	in	in	ADP
cana-2484	302	23	some	some	DET
cana-2484	302	24	cases	case	NOUN
cana-2484	302	25	.	.	PUNCT
cana-2484	303	1	but	but	CCONJ
cana-2484	303	2	the	the	DET
cana-2484	303	3	real	real	ADJ
cana-2484	303	4	task	task	NOUN
cana-2484	303	5	here	here	ADV
cana-2484	303	6	in	in	ADP
cana-2484	303	7	medical	medical	ADJ
cana-2484	303	8	diagnostics	diagnostic	NOUN
cana-2484	303	9	is	be	AUX
cana-2484	303	10	not	not	PART
cana-2484	303	11	just	just	ADV
cana-2484	303	12	to	to	PART
cana-2484	303	13	get	get	VERB
cana-2484	303	14	high	high	ADJ
cana-2484	303	15	accuracy	accuracy	NOUN
cana-2484	303	16	but	but	CCONJ
cana-2484	303	17	how	how	SCONJ
cana-2484	303	18	to	to	PART
cana-2484	303	19	create	create	VERB
cana-2484	303	20	a	a	DET
cana-2484	303	21	drivable	drivable	ADJ
cana-2484	303	22	model	model	NOUN
cana-2484	303	23	that	that	PRON
cana-2484	303	24	can	can	AUX
cana-2484	303	25	be	be	AUX
cana-2484	303	26	trusted	trust	VERB
cana-2484	303	27	and	and	CCONJ
cana-2484	303	28	well	well	ADV
cana-2484	303	29	calculated	calculate	VERB
cana-2484	303	30	.	.	PUNCT
cana-2484	304	1	a	a	DET
cana-2484	304	2	binary	binary	ADJ
cana-2484	304	3	disease	disease	NOUN
cana-2484	304	4	/	/	SYM
cana-2484	304	5	no	no	DET
cana-2484	304	6	-	-	PUNCT
cana-2484	304	7	disease	disease	NOUN
cana-2484	304	8	distinction	distinction	NOUN
cana-2484	304	9	is	be	AUX
cana-2484	304	10	often	often	ADV
cana-2484	304	11	inadequate	inadequate	ADJ
cana-2484	304	12	for	for	ADP
cana-2484	304	13	medical	medical	ADJ
cana-2484	304	14	professionals	professional	NOUN
cana-2484	304	15	.	.	PUNCT
cana-2484	305	1	this	this	PRON
cana-2484	305	2	is	be	AUX
cana-2484	305	3	especially	especially	ADV
cana-2484	305	4	true	true	ADJ
cana-2484	305	5	in	in	ADP
cana-2484	305	6	borderline	borderline	NOUN
cana-2484	305	7	cases	case	NOUN
cana-2484	305	8	,	,	PUNCT
cana-2484	305	9	where	where	SCONJ
cana-2484	305	10	the	the	DET
cana-2484	305	11	risk	risk	NOUN
cana-2484	305	12	of	of	ADP
cana-2484	305	13	false	false	ADJ
cana-2484	305	14	negatives	negative	NOUN
cana-2484	305	15	may	may	AUX
cana-2484	305	16	have	have	VERB
cana-2484	305	17	dire	dire	ADJ
cana-2484	305	18	consequences	consequence	NOUN
cana-2484	305	19	on	on	ADP
cana-2484	305	20	patient	patient	ADJ
cana-2484	305	21	outcomes	outcome	NOUN
cana-2484	305	22	requiring	require	VERB
cana-2484	305	23	them	they	PRON
cana-2484	305	24	to	to	PART
cana-2484	305	25	understand	understand	VERB
cana-2484	305	26	how	how	SCONJ
cana-2484	305	27	the	the	DET
cana-2484	305	28	model	model	NOUN
cana-2484	305	29	makes	make	VERB
cana-2484	305	30	decisions	decision	NOUN
cana-2484	305	31	.	.	PUNCT
cana-2484	306	1	it	it	PRON
cana-2484	306	2	was	be	AUX
cana-2484	306	3	at	at	ADP
cana-2484	306	4	this	this	DET
cana-2484	306	5	actuator	actuator	NOUN
cana-2484	306	6	level	level	NOUN
cana-2484	306	7	where	where	SCONJ
cana-2484	306	8	the	the	DET
cana-2484	306	9	incorporation	incorporation	NOUN
cana-2484	306	10	of	of	ADP
cana-2484	306	11	fuzzy	fuzzy	ADJ
cana-2484	306	12	logic	logic	NOUN
cana-2484	306	13	to	to	ADP
cana-2484	306	14	the	the	DET
cana-2484	306	15	system	system	NOUN
cana-2484	306	16	played	play	VERB
cana-2484	306	17	a	a	DET
cana-2484	306	18	key	key	ADJ
cana-2484	306	19	role	role	NOUN
cana-2484	306	20	.	.	PUNCT
cana-2484	307	1	●	●	PUNCT
cana-2484	307	2	fuzzy	fuzzy	ADJ
cana-2484	307	3	logic	logic	NOUN
cana-2484	307	4	:	:	PUNCT
cana-2484	307	5	improving	improve	VERB
cana-2484	307	6	explainability	explainability	NOUN
cana-2484	307	7	and	and	CCONJ
cana-2484	307	8	clinical	clinical	ADJ
cana-2484	307	9	confidence	confidence	NOUN
cana-2484	307	10	the	the	DET
cana-2484	307	11	use	use	NOUN
cana-2484	307	12	of	of	ADP
cana-2484	307	13	fuzzy	fuzzy	ADJ
cana-2484	307	14	logic	logic	NOUN
cana-2484	307	15	into	into	ADP
cana-2484	307	16	the	the	DET
cana-2484	307	17	diagnostic	diagnostic	ADJ
cana-2484	307	18	framework	framework	NOUN
cana-2484	307	19	worked	work	VERB
cana-2484	307	20	against	against	ADP
cana-2484	307	21	the	the	DET
cana-2484	307	22	"	"	PUNCT
cana-2484	307	23	black	black	ADJ
cana-2484	307	24	box	box	NOUN
cana-2484	307	25	"	"	PUNCT
cana-2484	307	26	nature	nature	NOUN
cana-2484	307	27	of	of	ADP
cana-2484	307	28	deep	deep	ADJ
cana-2484	307	29	learning	learning	NOUN
cana-2484	307	30	models	model	NOUN
cana-2484	307	31	,	,	PUNCT
cana-2484	307	32	thus	thus	ADV
cana-2484	307	33	introducing	introduce	VERB
cana-2484	307	34	a	a	DET
cana-2484	307	35	layer	layer	NOUN
cana-2484	307	36	of	of	ADP
cana-2484	307	37	interpretability	interpretability	NOUN
cana-2484	307	38	.	.	PUNCT
cana-2484	308	1	medical	medical	ADJ
cana-2484	308	2	imaging	imaging	NOUN
cana-2484	308	3	is	be	AUX
cana-2484	308	4	a	a	DET
cana-2484	308	5	domain	domain	NOUN
cana-2484	308	6	in	in	ADP
cana-2484	308	7	which	which	PRON
cana-2484	308	8	uncertainty	uncertainty	NOUN
cana-2484	308	9	and	and	CCONJ
cana-2484	308	10	vagueness	vagueness	NOUN
cana-2484	308	11	are	be	AUX
cana-2484	308	12	commonly	commonly	ADV
cana-2484	308	13	associated	associate	VERB
cana-2484	308	14	,	,	PUNCT
cana-2484	308	15	for	for	ADP
cana-2484	308	16	which	which	PRON
cana-2484	308	17	fuzzy	fuzzy	ADJ
cana-2484	308	18	logic	logic	NOUN
cana-2484	308	19	systems	system	NOUN
cana-2484	308	20	are	be	AUX
cana-2484	308	21	evidently	evidently	ADV
cana-2484	308	22	not	not	PART
cana-2484	308	23	short	short	ADJ
cana-2484	308	24	of	of	ADP
cana-2484	308	25	.	.	PUNCT
cana-2484	309	1	its	its	PRON
cana-2484	309	2	severity	severity	NOUN
cana-2484	309	3	,	,	PUNCT
cana-2484	309	4	such	such	ADJ
cana-2484	309	5	as	as	ADP
cana-2484	309	6	is	be	AUX
cana-2484	309	7	the	the	DET
cana-2484	309	8	case	case	NOUN
cana-2484	309	9	in	in	ADP
cana-2484	309	10	damage	damage	NOUN
cana-2484	309	11	to	to	ADP
cana-2484	309	12	the	the	DET
cana-2484	309	13	optic	optic	NOUN
cana-2484	309	14	nerve	nerve	NOUN
cana-2484	309	15	from	from	ADP
cana-2484	309	16	glaucoma	glaucoma	NOUN
cana-2484	309	17	,	,	PUNCT
cana-2484	309	18	may	may	AUX
cana-2484	309	19	not	not	PART
cana-2484	309	20	be	be	AUX
cana-2484	309	21	simply	simply	ADV
cana-2484	309	22	binary	binary	ADJ
cana-2484	309	23	and	and	CCONJ
cana-2484	309	24	so	so	ADV
cana-2484	309	25	exists	exist	VERB
cana-2484	309	26	on	on	ADP
cana-2484	309	27	a	a	DET
cana-2484	309	28	continuum	continuum	NOUN
cana-2484	309	29	that	that	PRON
cana-2484	309	30	traditional	traditional	ADJ
cana-2484	309	31	crisp	crisp	ADJ
cana-2484	309	32	logic	logic	NOUN
cana-2484	309	33	does	do	AUX
cana-2484	309	34	n't	not	PART
cana-2484	309	35	capture	capture	VERB
cana-2484	309	36	.	.	PUNCT
cana-2484	310	1	for	for	ADP
cana-2484	310	2	more	more	ADJ
cana-2484	310	3	example	example	NOUN
cana-2484	310	4	,	,	PUNCT
cana-2484	310	5	if	if	SCONJ
cana-2484	310	6	the	the	DET
cana-2484	310	7	system	system	NOUN
cana-2484	310	8	could	could	AUX
cana-2484	310	9	take	take	VERB
cana-2484	310	10	'	'	PUNCT
cana-2484	310	11	low	low	ADJ
cana-2484	310	12	'	'	PUNCT
cana-2484	310	13	,	,	PUNCT
cana-2484	310	14	'	'	PUNCT
cana-2484	310	15	medium	medium	ADJ
cana-2484	310	16	'	'	PUNCT
cana-2484	310	17	and	and	CCONJ
cana-2484	310	18	'	'	PUNCT
cana-2484	310	19	high	high	ADJ
cana-2484	310	20	'	'	PUNCT
cana-2484	310	21	for	for	ADP
cana-2484	310	22	cup	cup	NOUN
cana-2484	310	23	-	-	PUNCT
cana-2484	310	24	to	to	ADP
cana-2484	310	25	-	-	PUNCT
cana-2484	310	26	disc	disc	NOUN
cana-2484	310	27	ratio	ratio	NOUN
cana-2484	310	28	as	as	ADP
cana-2484	310	29	input	input	NOUN
cana-2484	310	30	and	and	CCONJ
cana-2484	310	31	'	'	PUNCT
cana-2484	310	32	none	none	NOUN
cana-2484	310	33	'	'	PUNCT
cana-2484	310	34	,	,	PUNCT
cana-2484	310	35	few	few	ADJ
cana-2484	310	36	and	and	CCONJ
cana-2484	310	37	many	many	ADJ
cana-2484	310	38	counting	counting	NOUN
cana-2484	310	39	of	of	ADP
cana-2484	310	40	microaneurysm	microaneurysm	NOUN
cana-2484	310	41	so	so	SCONJ
cana-2484	310	42	that	that	SCONJ
cana-2484	310	43	outputs	output	NOUN
cana-2484	310	44	produced	produce	VERB
cana-2484	310	45	are	be	AUX
cana-2484	310	46	clinically	clinically	ADV
cana-2484	310	47	more	more	ADJ
cana-2484	310	48	co	co	ADJ
cana-2484	310	49	-	-	ADJ
cana-2484	310	50	relatable	relatable	ADJ
cana-2484	310	51	.	.	PUNCT
cana-2484	311	1	the	the	DET
cana-2484	311	2	fuzzy	fuzzy	ADJ
cana-2484	311	3	logic	logic	NOUN
cana-2484	311	4	part	part	NOUN
cana-2484	311	5	was	be	AUX
cana-2484	311	6	also	also	ADV
cana-2484	311	7	helpful	helpful	ADJ
cana-2484	311	8	in	in	ADP
cana-2484	311	9	considering	consider	VERB
cana-2484	311	10	different	different	ADJ
cana-2484	311	11	patient	patient	ADJ
cana-2484	311	12	specific	specific	ADJ
cana-2484	311	13	factors	factor	NOUN
cana-2484	311	14	like	like	ADP
cana-2484	311	15	iop	iop	NOUN
cana-2484	311	16	value	value	NOUN
cana-2484	311	17	,	,	PUNCT
cana-2484	311	18	age	age	NOUN
cana-2484	311	19	,	,	PUNCT
cana-2484	311	20	and	and	CCONJ
cana-2484	311	21	medical	medical	ADJ
cana-2484	311	22	history	history	NOUN
cana-2484	311	23	during	during	ADP
cana-2484	311	24	the	the	DET
cana-2484	311	25	process	process	NOUN
cana-2484	311	26	of	of	ADP
cana-2484	311	27	decision	decision	NOUN
cana-2484	311	28	making	making	NOUN
cana-2484	311	29	.	.	PUNCT
cana-2484	312	1	the	the	DET
cana-2484	312	2	performance	performance	NOUN
cana-2484	312	3	boost	boost	NOUN
cana-2484	312	4	given	give	VERB
cana-2484	312	5	by	by	ADP
cana-2484	312	6	the	the	DET
cana-2484	312	7	multi	multi	ADJ
cana-2484	312	8	-	-	ADJ
cana-2484	312	9	input	input	ADJ
cana-2484	312	10	specification	specification	NOUN
cana-2484	312	11	-increased	-increase	VERB
cana-2484	312	12	its	its	PRON
cana-2484	312	13	robustness	robustness	NOUN
cana-2484	312	14	and	and	CCONJ
cana-2484	312	15	ability	ability	NOUN
cana-2484	312	16	to	to	PART
cana-2484	312	17	provide	provide	VERB
cana-2484	312	18	a	a	DET
cana-2484	312	19	clinical	clinical	ADJ
cana-2484	312	20	grading	grading	NOUN
cana-2484	312	21	that	that	PRON
cana-2484	312	22	is	be	AUX
cana-2484	312	23	more	more	ADV
cana-2484	312	24	informative	informative	ADJ
cana-2484	312	25	and	and	CCONJ
cana-2484	312	26	considers	consider	VERB
cana-2484	312	27	more	more	ADV
cana-2484	312	28	patient	patient	ADJ
cana-2484	312	29	holistic	holistic	ADJ
cana-2484	312	30	context	context	NOUN
cana-2484	312	31	than	than	ADP
cana-2484	312	32	image	image	NOUN
cana-2484	312	33	only	only	ADV
cana-2484	312	34	basing	base	VERB
cana-2484	312	35	features	feature	NOUN
cana-2484	312	36	.	.	PUNCT
cana-2484	313	1	this	this	DET
cana-2484	313	2	communications	communication	NOUN
cana-2484	313	3	on	on	ADP
cana-2484	313	4	applied	apply	VERB
cana-2484	313	5	nonlinear	nonlinear	ADJ
cana-2484	313	6	analysis	analysis	NOUN
cana-2484	313	7	issn	issn	NOUN
cana-2484	313	8	:	:	PUNCT
cana-2484	313	9	1074	1074	NUM
cana-2484	313	10	-	-	PUNCT
cana-2484	313	11	133x	133x	NUM
cana-2484	313	12	vol	vol	NOUN
cana-2484	313	13	32	32	NUM
cana-2484	313	14	no	no	NOUN
cana-2484	313	15	.	.	PUNCT
cana-2484	314	1	2s	2s	NUM
cana-2484	314	2	(	(	PUNCT
cana-2484	314	3	2025	2025	NUM
cana-2484	314	4	)	)	PUNCT
cana-2484	314	5	511	511	NUM
cana-2484	314	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2484	314	7	also	also	ADV
cana-2484	314	8	helped	help	VERB
cana-2484	314	9	to	to	PART
cana-2484	314	10	mimic	mimic	VERB
cana-2484	314	11	the	the	DET
cana-2484	314	12	diagnostic	diagnostic	ADJ
cana-2484	314	13	procedures	procedure	NOUN
cana-2484	314	14	used	use	VERB
cana-2484	314	15	by	by	ADP
cana-2484	314	16	clinicians	clinician	NOUN
cana-2484	314	17	,	,	PUNCT
cana-2484	314	18	promoting	promote	VERB
cana-2484	314	19	faith	faith	NOUN
cana-2484	314	20	and	and	CCONJ
cana-2484	314	21	consent	consent	NOUN
cana-2484	314	22	in	in	ADP
cana-2484	314	23	the	the	DET
cana-2484	314	24	system	system	NOUN
cana-2484	314	25	when	when	SCONJ
cana-2484	314	26	it	it	PRON
cana-2484	314	27	comes	come	VERB
cana-2484	314	28	to	to	ADP
cana-2484	314	29	real	real	ADJ
cana-2484	314	30	-	-	PUNCT
cana-2484	314	31	world	world	NOUN
cana-2484	314	32	clinical	clinical	ADJ
cana-2484	314	33	applications	application	NOUN
cana-2484	314	34	by	by	ADP
cana-2484	314	35	utilising	utilise	VERB
cana-2484	314	36	expert	expert	NOUN
cana-2484	314	37	defined	define	VERB
cana-2484	314	38	fuzzy	fuzzy	ADJ
cana-2484	314	39	rules	rule	NOUN
cana-2484	314	40	(	(	PUNCT
cana-2484	314	41	e.g.	e.g.	ADV
cana-2484	314	42	,	,	PUNCT
cana-2484	314	43	“	"	PUNCT
cana-2484	314	44	if	if	SCONJ
cana-2484	314	45	cup	cup	NOUN
cana-2484	314	46	-	-	PUNCT
cana-2484	314	47	to	to	ADP
cana-2484	314	48	-	-	PUNCT
cana-2484	314	49	disc	disc	NOUN
cana-2484	314	50	ratio	ratio	NOUN
cana-2484	314	51	is	be	AUX
cana-2484	314	52	high	high	ADJ
cana-2484	314	53	and	and	CCONJ
cana-2484	314	54	intraocular	intraocular	ADJ
cana-2484	314	55	pressure	pressure	NOUN
cana-2484	314	56	is	be	AUX
cana-2484	314	57	high	high	ADJ
cana-2484	314	58	then	then	ADV
cana-2484	314	59	glaucoma	glaucoma	NOUN
cana-2484	314	60	is	be	AUX
cana-2484	314	61	likely	likely	ADJ
cana-2484	314	62	”	"	PUNCT
cana-2484	314	63	)	)	PUNCT
cana-2484	314	64	.	.	PUNCT
cana-2484	315	1	●	●	PUNCT
cana-2484	315	2	challenges	challenge	NOUN
cana-2484	315	3	&	&	CCONJ
cana-2484	315	4	the	the	DET
cana-2484	315	5	unavoidable	unavoidable	ADJ
cana-2484	315	6	pre	pre	ADJ
cana-2484	315	7	-	-	ADJ
cana-2484	315	8	processing	processing	ADJ
cana-2484	315	9	and	and	CCONJ
cana-2484	315	10	feature	feature	NOUN
cana-2484	315	11	engineering	engineering	NOUN
cana-2484	315	12	:	:	PUNCT
cana-2484	315	13	a	a	DET
cana-2484	315	14	key	key	ADJ
cana-2484	315	15	part	part	NOUN
cana-2484	315	16	of	of	ADP
cana-2484	315	17	this	this	DET
cana-2484	315	18	study	study	NOUN
cana-2484	315	19	was	be	AUX
cana-2484	315	20	the	the	DET
cana-2484	315	21	pre	pre	ADJ
cana-2484	315	22	-	-	ADJ
cana-2484	315	23	processing	processing	ADJ
cana-2484	315	24	and	and	CCONJ
cana-2484	315	25	feature	feature	NOUN
cana-2484	315	26	engineering	engineering	NOUN
cana-2484	315	27	that	that	PRON
cana-2484	315	28	has	have	AUX
cana-2484	315	29	been	be	AUX
cana-2484	315	30	done	do	VERB
cana-2484	315	31	on	on	ADP
cana-2484	315	32	the	the	DET
cana-2484	315	33	retinal	retinal	ADJ
cana-2484	315	34	images	image	NOUN
cana-2484	315	35	.	.	PUNCT
cana-2484	316	1	noisy	noisy	ADJ
cana-2484	316	2	,	,	PUNCT
cana-2484	316	3	low	low	ADJ
cana-2484	316	4	contrast	contrast	NOUN
cana-2484	316	5	and	and	CCONJ
cana-2484	316	6	artefact	artefact	ADJ
cana-2484	316	7	prone	prone	ADJ
cana-2484	316	8	,	,	PUNCT
cana-2484	316	9	raw	raw	ADJ
cana-2484	316	10	medical	medical	ADJ
cana-2484	316	11	images	image	NOUN
cana-2484	316	12	can	can	AUX
cana-2484	316	13	conceal	conceal	VERB
cana-2484	316	14	important	important	ADJ
cana-2484	316	15	diagnostic	diagnostic	ADJ
cana-2484	316	16	attributes	attribute	NOUN
cana-2484	316	17	.	.	PUNCT
cana-2484	317	1	the	the	DET
cana-2484	317	2	image	image	NOUN
cana-2484	317	3	quality	quality	NOUN
cana-2484	317	4	was	be	AUX
cana-2484	317	5	enhanced	enhance	VERB
cana-2484	317	6	for	for	ADP
cana-2484	317	7	better	well	ADJ
cana-2484	317	8	visual	visual	ADJ
cana-2484	317	9	confirmation	confirmation	NOUN
cana-2484	317	10	and	and	CCONJ
cana-2484	317	11	to	to	PART
cana-2484	317	12	highlight	highlight	VERB
cana-2484	317	13	anatomical	anatomical	ADJ
cana-2484	317	14	features	feature	NOUN
cana-2484	317	15	with	with	ADP
cana-2484	317	16	methods	method	NOUN
cana-2484	317	17	like	like	ADP
cana-2484	317	18	contrast	contrast	NOUN
cana-2484	317	19	enhancement	enhancement	NOUN
cana-2484	317	20	,	,	PUNCT
cana-2484	317	21	noise	noise	NOUN
cana-2484	317	22	reduction	reduction	NOUN
cana-2484	317	23	,	,	PUNCT
cana-2484	317	24	blood	blood	NOUN
cana-2484	317	25	vessel	vessel	NOUN
cana-2484	317	26	segmentation	segmentation	NOUN
cana-2484	317	27	etc	etc	X
cana-2484	317	28	.	.	X
cana-2484	317	29	hence	hence	ADV
cana-2484	317	30	pre	pre	ADJ
cana-2484	317	31	-	-	ADJ
cana-2484	317	32	processing	process	VERB
cana-2484	317	33	this	this	DET
cana-2484	317	34	mammogram	mammogram	NOUN
cana-2484	317	35	was	be	AUX
cana-2484	317	36	crucial	crucial	ADJ
cana-2484	317	37	in	in	ADP
cana-2484	317	38	order	order	NOUN
cana-2484	317	39	to	to	PART
cana-2484	317	40	provide	provide	VERB
cana-2484	317	41	the	the	DET
cana-2484	317	42	cnns	cnn	NOUN
cana-2484	317	43	better	well	ADJ
cana-2484	317	44	quality	quality	NOUN
cana-2484	317	45	inputs	input	NOUN
cana-2484	317	46	,	,	PUNCT
cana-2484	317	47	as	as	ADV
cana-2484	317	48	well	well	ADV
cana-2484	317	49	helping	help	VERB
cana-2484	317	50	them	they	PRON
cana-2484	317	51	to	to	PART
cana-2484	317	52	learn	learn	VERB
cana-2484	317	53	meaningful	meaningful	ADJ
cana-2484	317	54	features	feature	NOUN
cana-2484	317	55	better	well	ADV
cana-2484	317	56	.	.	PUNCT
cana-2484	318	1	furthermore	furthermore	ADV
cana-2484	318	2	,	,	PUNCT
cana-2484	318	3	an	an	DET
cana-2484	318	4	integration	integration	NOUN
cana-2484	318	5	of	of	ADP
cana-2484	318	6	manually	manually	ADV
cana-2484	318	7	engineered	engineer	VERB
cana-2484	318	8	features	feature	NOUN
cana-2484	318	9	such	such	ADJ
cana-2484	318	10	as	as	ADP
cana-2484	318	11	the	the	DET
cana-2484	318	12	cup	cup	NOUN
cana-2484	318	13	-	-	PUNCT
cana-2484	318	14	to	to	ADP
cana-2484	318	15	-	-	PUNCT
cana-2484	318	16	disc	disc	NOUN
cana-2484	318	17	ratio	ratio	NOUN
cana-2484	318	18	and	and	CCONJ
cana-2484	318	19	vessel	vessel	NOUN
cana-2484	318	20	density	density	NOUN
cana-2484	318	21	along	along	ADP
cana-2484	318	22	with	with	ADP
cana-2484	318	23	the	the	DET
cana-2484	318	24	automatically	automatically	ADV
cana-2484	318	25	extracted	extract	VERB
cana-2484	318	26	features	feature	NOUN
cana-2484	318	27	by	by	ADP
cana-2484	318	28	cnns	cnn	NOUN
cana-2484	318	29	resulted	result	VERB
cana-2484	318	30	in	in	ADP
cana-2484	318	31	a	a	DET
cana-2484	318	32	hybrid	hybrid	ADJ
cana-2484	318	33	network	network	NOUN
cana-2484	318	34	that	that	PRON
cana-2484	318	35	benefited	benefit	VERB
cana-2484	318	36	from	from	ADP
cana-2484	318	37	both	both	DET
cana-2484	318	38	domain	domain	NOUN
cana-2484	318	39	knowledge	knowledge	NOUN
cana-2484	318	40	and	and	CCONJ
cana-2484	318	41	end	end	VERB
cana-2484	318	42	to	to	PART
cana-2484	318	43	end	end	NOUN
cana-2484	318	44	learning	learn	VERB
cana-2484	318	45	.	.	PUNCT
cana-2484	319	1	this	this	PRON
cana-2484	319	2	improved	improve	VERB
cana-2484	319	3	the	the	DET
cana-2484	319	4	overall	overall	ADJ
cana-2484	319	5	diagnostic	diagnostic	ADJ
cana-2484	319	6	performance	performance	NOUN
cana-2484	319	7	and	and	CCONJ
cana-2484	319	8	it	it	PRON
cana-2484	319	9	also	also	ADV
cana-2484	319	10	made	make	VERB
cana-2484	319	11	the	the	DET
cana-2484	319	12	outputs	output	NOUN
cana-2484	319	13	of	of	ADP
cana-2484	319	14	the	the	DET
cana-2484	319	15	model	model	NOUN
cana-2484	319	16	interpretable	interpretable	ADJ
cana-2484	319	17	.	.	PUNCT
cana-2484	320	1	for	for	ADP
cana-2484	320	2	example	example	NOUN
cana-2484	320	3	,	,	PUNCT
cana-2484	320	4	the	the	DET
cana-2484	320	5	detection	detection	NOUN
cana-2484	320	6	of	of	ADP
cana-2484	320	7	a	a	DET
cana-2484	320	8	large	large	ADJ
cana-2484	320	9	cup	cup	NOUN
cana-2484	320	10	-	-	PUNCT
cana-2484	320	11	disc	disc	NOUN
cana-2484	320	12	-	-	PUNCT
cana-2484	320	13	ratio	ratio	NOUN
cana-2484	320	14	by	by	ADP
cana-2484	320	15	our	our	PRON
cana-2484	320	16	cnn	cnn	PROPN
cana-2484	320	17	could	could	AUX
cana-2484	320	18	be	be	AUX
cana-2484	320	19	checked	check	VERB
cana-2484	320	20	with	with	ADP
cana-2484	320	21	the	the	DET
cana-2484	320	22	vessel	vessel	NOUN
cana-2484	320	23	density	density	NOUN
cana-2484	320	24	analysis	analysis	NOUN
cana-2484	320	25	to	to	ADP
cana-2484	320	26	further	further	ADJ
cana-2484	320	27	support	support	VERB
cana-2484	320	28	for	for	ADP
cana-2484	320	29	the	the	DET
cana-2484	320	30	diagnosis	diagnosis	NOUN
cana-2484	320	31	of	of	ADP
cana-2484	320	32	glaucoma	glaucoma	NOUN
cana-2484	320	33	.	.	PUNCT
cana-2484	321	1	●	●	PUNCT
cana-2484	321	2	more	more	ADV
cana-2484	321	3	advanced	advanced	ADJ
cana-2484	321	4	generalization	generalization	NOUN
cana-2484	321	5	techniques	technique	NOUN
cana-2484	321	6	:	:	PUNCT
cana-2484	321	7	due	due	ADP
cana-2484	321	8	to	to	ADP
cana-2484	321	9	these	these	DET
cana-2484	321	10	factors	factor	NOUN
cana-2484	321	11	and	and	CCONJ
cana-2484	321	12	the	the	DET
cana-2484	321	13	variability	variability	NOUN
cana-2484	321	14	in	in	ADP
cana-2484	321	15	retinal	retinal	ADJ
cana-2484	321	16	images	image	NOUN
cana-2484	321	17	based	base	VERB
cana-2484	321	18	on	on	ADP
cana-2484	321	19	patient	patient	ADJ
cana-2484	321	20	demographics	demographic	NOUN
cana-2484	321	21	,	,	PUNCT
cana-2484	321	22	camera	camera	NOUN
cana-2484	321	23	settings	setting	NOUN
cana-2484	321	24	,	,	PUNCT
cana-2484	321	25	and	and	CCONJ
cana-2484	321	26	disease	disease	NOUN
cana-2484	321	27	progression	progression	NOUN
cana-2484	321	28	it	it	PRON
cana-2484	321	29	is	be	AUX
cana-2484	321	30	a	a	DET
cana-2484	321	31	large	large	ADJ
cana-2484	321	32	challenge	challenge	NOUN
cana-2484	321	33	to	to	PART
cana-2484	321	34	generalize	generalize	VERB
cana-2484	321	35	a	a	DET
cana-2484	321	36	model	model	NOUN
cana-2484	321	37	well	well	ADV
cana-2484	321	38	with	with	ADP
cana-2484	321	39	new	new	ADJ
cana-2484	321	40	data	datum	NOUN
cana-2484	321	41	.	.	PUNCT
cana-2484	322	1	for	for	ADP
cana-2484	322	2	this	this	PRON
cana-2484	322	3	,	,	PUNCT
cana-2484	322	4	the	the	DET
cana-2484	322	5	study	study	NOUN
cana-2484	322	6	used	use	VERB
cana-2484	322	7	data	datum	NOUN
cana-2484	322	8	augmentation	augmentation	NOUN
cana-2484	322	9	techniques	technique	NOUN
cana-2484	322	10	like	like	ADP
cana-2484	322	11	increasing	increase	VERB
cana-2484	322	12	the	the	DET
cana-2484	322	13	training	training	NOUN
cana-2484	322	14	dataset	dataset	VERB
cana-2484	322	15	by	by	ADP
cana-2484	322	16	creating	create	VERB
cana-2484	322	17	artificial	artificial	ADJ
cana-2484	322	18	images	image	NOUN
cana-2484	322	19	,	,	PUNCT
cana-2484	322	20	thus	thus	ADV
cana-2484	322	21	introducing	introduce	VERB
cana-2484	322	22	some	some	DET
cana-2484	322	23	variance	variance	NOUN
cana-2484	322	24	to	to	ADP
cana-2484	322	25	the	the	DET
cana-2484	322	26	scenarios	scenario	NOUN
cana-2484	322	27	seen	see	VERB
cana-2484	322	28	by	by	ADP
cana-2484	322	29	the	the	DET
cana-2484	322	30	model	model	NOUN
cana-2484	322	31	.	.	PUNCT
cana-2484	323	1	additionally	additionally	ADV
cana-2484	323	2	,	,	PUNCT
cana-2484	323	3	transfer	transfer	NOUN
cana-2484	323	4	learning	learning	NOUN
cana-2484	323	5	was	be	AUX
cana-2484	323	6	used	use	VERB
cana-2484	323	7	to	to	PART
cana-2484	323	8	adapt	adapt	VERB
cana-2484	323	9	models	model	NOUN
cana-2484	323	10	pre	pre	VERB
cana-2484	323	11	-	-	VERB
cana-2484	323	12	trained	train	VERB
cana-2484	323	13	on	on	ADP
cana-2484	323	14	large	large	ADJ
cana-2484	323	15	-	-	PUNCT
cana-2484	323	16	scale	scale	NOUN
cana-2484	323	17	image	image	NOUN
cana-2484	323	18	datasets	dataset	NOUN
cana-2484	323	19	in	in	ADP
cana-2484	323	20	order	order	NOUN
cana-2484	323	21	that	that	SCONJ
cana-2484	323	22	the	the	DET
cana-2484	323	23	model	model	NOUN
cana-2484	323	24	could	could	AUX
cana-2484	323	25	take	take	VERB
cana-2484	323	26	advantage	advantage	NOUN
cana-2484	323	27	of	of	ADP
cana-2484	323	28	general	general	ADJ
cana-2484	323	29	visual	visual	ADJ
cana-2484	323	30	features	feature	NOUN
cana-2484	323	31	inferred	infer	VERB
cana-2484	323	32	from	from	ADP
cana-2484	323	33	a	a	DET
cana-2484	323	34	larger	large	ADJ
cana-2484	323	35	data	datum	NOUN
cana-2484	323	36	set	set	VERB
cana-2484	323	37	.	.	PUNCT
cana-2484	324	1	this	this	PRON
cana-2484	324	2	not	not	PART
cana-2484	324	3	only	only	ADV
cana-2484	324	4	helped	help	VERB
cana-2484	324	5	the	the	DET
cana-2484	324	6	model	model	NOUN
cana-2484	324	7	achieving	achieve	VERB
cana-2484	324	8	better	well	ADJ
cana-2484	324	9	results	result	NOUN
cana-2484	324	10	on	on	ADP
cana-2484	324	11	retinal	retinal	ADJ
cana-2484	324	12	images	image	NOUN
cana-2484	324	13	but	but	CCONJ
cana-2484	324	14	also	also	ADV
cana-2484	324	15	limited	limited	ADJ
cana-2484	324	16	possibilities	possibility	NOUN
cana-2484	324	17	of	of	ADP
cana-2484	324	18	overfitting	overfitte	VERB
cana-2484	324	19	to	to	ADP
cana-2484	324	20	relatively	relatively	ADV
cana-2484	324	21	small	small	ADJ
cana-2484	324	22	number	number	NOUN
cana-2484	324	23	of	of	ADP
cana-2484	324	24	samples	sample	NOUN
cana-2484	324	25	in	in	ADP
cana-2484	324	26	medical	medical	ADJ
cana-2484	324	27	datasets	dataset	NOUN
cana-2484	324	28	.	.	PUNCT
cana-2484	325	1	model	model	NOUN
cana-2484	325	2	robustness	robustness	NOUN
cana-2484	325	3	was	be	AUX
cana-2484	325	4	further	far	ADV
cana-2484	325	5	boosted	boost	VERB
cana-2484	325	6	using	use	VERB
cana-2484	325	7	ensemble	ensemble	ADJ
cana-2484	325	8	learning	learning	NOUN
cana-2484	325	9	that	that	PRON
cana-2484	325	10	combines	combine	VERB
cana-2484	325	11	outputs	output	NOUN
cana-2484	325	12	of	of	ADP
cana-2484	325	13	different	different	ADJ
cana-2484	325	14	cnns	cnn	NOUN
cana-2484	325	15	trained	train	VERB
cana-2484	325	16	on	on	ADP
cana-2484	325	17	varied	varied	ADJ
cana-2484	325	18	data	datum	NOUN
cana-2484	325	19	subsets	subset	NOUN
cana-2484	325	20	.	.	PUNCT
cana-2484	326	1	this	this	DET
cana-2484	326	2	approach	approach	NOUN
cana-2484	326	3	of	of	ADP
cana-2484	326	4	ensembling	ensemble	VERB
cana-2484	326	5	also	also	ADV
cana-2484	326	6	helped	help	VERB
cana-2484	326	7	to	to	PART
cana-2484	326	8	reduce	reduce	VERB
cana-2484	326	9	both	both	DET
cana-2484	326	10	the	the	DET
cana-2484	326	11	variance	variance	NOUN
cana-2484	326	12	and	and	CCONJ
cana-2484	326	13	bias	bias	NOUN
cana-2484	326	14	,	,	PUNCT
cana-2484	326	15	making	make	VERB
cana-2484	326	16	predictions	prediction	NOUN
cana-2484	326	17	far	far	ADV
cana-2484	326	18	more	more	ADV
cana-2484	326	19	stable	stable	ADJ
cana-2484	326	20	or	or	CCONJ
cana-2484	326	21	consistent	consistent	ADJ
cana-2484	326	22	.	.	PUNCT
cana-2484	327	1	having	having	AUX
cana-2484	327	2	described	describe	VERB
cana-2484	327	3	these	these	DET
cana-2484	327	4	techniques	technique	NOUN
cana-2484	327	5	,	,	PUNCT
cana-2484	327	6	one	one	NUM
cana-2484	327	7	critical	critical	ADJ
cana-2484	327	8	aspect	aspect	NOUN
cana-2484	327	9	to	to	PART
cana-2484	327	10	highlight	highlight	VERB
cana-2484	327	11	is	be	AUX
cana-2484	327	12	the	the	DET
cana-2484	327	13	need	need	NOUN
cana-2484	327	14	for	for	ADP
cana-2484	327	15	model	model	NOUN
cana-2484	327	16	optimization	optimization	NOUN
cana-2484	327	17	at	at	ADP
cana-2484	327	18	a	a	DET
cana-2484	327	19	systems	system	NOUN
cana-2484	327	20	level	level	NOUN
cana-2484	327	21	to	to	PART
cana-2484	327	22	deal	deal	VERB
cana-2484	327	23	with	with	ADP
cana-2484	327	24	this	this	DET
cana-2484	327	25	inherent	inherent	ADJ
cana-2484	327	26	variability	variability	NOUN
cana-2484	327	27	across	across	ADP
cana-2484	327	28	medical	medical	ADJ
cana-2484	327	29	imaging	imaging	NOUN
cana-2484	327	30	.	.	PUNCT
cana-2484	328	1	●	●	PUNCT
cana-2484	328	2	use	use	NOUN
cana-2484	328	3	—	—	PUNCT
cana-2484	328	4	depolls	depoll	NOUN
cana-2484	328	5	&	&	CCONJ
cana-2484	328	6	real	real	ADJ
cana-2484	328	7	world	world	NOUN
cana-2484	328	8	application	application	NOUN
cana-2484	328	9	the	the	DET
cana-2484	328	10	goal	goal	NOUN
cana-2484	328	11	of	of	ADP
cana-2484	328	12	this	this	DET
cana-2484	328	13	research	research	NOUN
cana-2484	328	14	was	be	AUX
cana-2484	328	15	not	not	PART
cana-2484	328	16	just	just	ADV
cana-2484	328	17	to	to	PART
cana-2484	328	18	make	make	VERB
cana-2484	328	19	a	a	DET
cana-2484	328	20	good	good	ADJ
cana-2484	328	21	model	model	NOUN
cana-2484	328	22	,	,	PUNCT
cana-2484	328	23	but	but	CCONJ
cana-2484	328	24	to	to	PART
cana-2484	328	25	be	be	AUX
cana-2484	328	26	a	a	DET
cana-2484	328	27	system	system	NOUN
cana-2484	328	28	that	that	PRON
cana-2484	328	29	can	can	AUX
cana-2484	328	30	be	be	AUX
cana-2484	328	31	used	use	VERB
cana-2484	328	32	in	in	ADP
cana-2484	328	33	actual	actual	ADJ
cana-2484	328	34	clinical	clinical	ADJ
cana-2484	328	35	work	work	NOUN
cana-2484	328	36	,	,	PUNCT
cana-2484	328	37	especially	especially	ADV
cana-2484	328	38	in	in	ADP
cana-2484	328	39	areas	area	NOUN
cana-2484	328	40	with	with	ADP
cana-2484	328	41	limited	limited	ADJ
cana-2484	328	42	resources	resource	NOUN
cana-2484	328	43	.	.	PUNCT
cana-2484	329	1	a	a	DET
cana-2484	329	2	few	few	ADJ
cana-2484	329	3	cloud	cloud	NOUN
cana-2484	329	4	-	-	PUNCT
cana-2484	329	5	based	base	VERB
cana-2484	329	6	services	service	NOUN
cana-2484	329	7	and	and	CCONJ
cana-2484	329	8	standalone	standalone	NOUN
cana-2484	329	9	tools	tool	NOUN
cana-2484	329	10	—	—	PUNCT
cana-2484	329	11	at	at	ADP
cana-2484	329	12	one	one	NUM
cana-2484	329	13	brief	brief	ADJ
cana-2484	329	14	period	period	NOUN
cana-2484	329	15	this	this	PRON
cana-2484	329	16	even	even	ADV
cana-2484	329	17	included	include	VERB
cana-2484	329	18	doing	do	VERB
cana-2484	329	19	a	a	DET
cana-2484	329	20	direct	direct	ADJ
cana-2484	329	21	download	download	NOUN
cana-2484	329	22	of	of	ADP
cana-2484	329	23	an	an	DET
cana-2484	329	24	executable	executable	ADJ
cana-2484	329	25	binary	binary	NOUN
cana-2484	329	26	.	.	PUNCT
cana-2484	330	1	the	the	DET
cana-2484	330	2	use	use	NOUN
cana-2484	330	3	of	of	ADP
cana-2484	330	4	cloud	cloud	NOUN
cana-2484	330	5	-	-	PUNCT
cana-2484	330	6	based	base	VERB
cana-2484	330	7	services	service	NOUN
cana-2484	330	8	is	be	AUX
cana-2484	330	9	further	far	ADV
cana-2484	330	10	increasing	increase	VERB
cana-2484	330	11	the	the	DET
cana-2484	330	12	potential	potential	NOUN
cana-2484	330	13	for	for	ADP
cana-2484	330	14	remote	remote	ADJ
cana-2484	330	15	analysis	analysis	NOUN
cana-2484	330	16	of	of	ADP
cana-2484	330	17	retinal	retinal	ADJ
cana-2484	330	18	image	image	NOUN
cana-2484	330	19	and	and	CCONJ
cana-2484	330	20	urging	urge	VERB
cana-2484	330	21	telemedicine	telemedicine	NOUN
cana-2484	330	22	strategies	strategy	NOUN
cana-2484	330	23	where	where	SCONJ
cana-2484	330	24	access	access	NOUN
cana-2484	330	25	to	to	ADP
cana-2484	330	26	ophthalmologists	ophthalmologist	NOUN
cana-2484	330	27	in	in	ADP
cana-2484	330	28	severely	severely	ADV
cana-2484	330	29	limited	limited	ADJ
cana-2484	330	30	.	.	PUNCT
cana-2484	331	1	by	by	ADP
cana-2484	331	2	comparison	comparison	NOUN
cana-2484	331	3	,	,	PUNCT
cana-2484	331	4	stand	stand	VERB
cana-2484	331	5	-	-	PUNCT
cana-2484	331	6	alone	alone	ADV
cana-2484	331	7	tools	tool	NOUN
cana-2484	331	8	working	work	VERB
cana-2484	331	9	offline	offline	NOUN
cana-2484	331	10	in	in	ADP
cana-2484	331	11	clinics	clinic	NOUN
cana-2484	331	12	and	and	CCONJ
cana-2484	331	13	hospitals	hospital	NOUN
cana-2484	331	14	offer	offer	VERB
cana-2484	331	15	the	the	DET
cana-2484	331	16	immediacy	immediacy	NOUN
cana-2484	331	17	of	of	ADP
cana-2484	331	18	a	a	DET
cana-2484	331	19	realtime	realtime	ADJ
cana-2484	331	20	diagnosis	diagnosis	NOUN
cana-2484	331	21	that	that	PRON
cana-2484	331	22	is	be	AUX
cana-2484	331	23	crucial	crucial	ADJ
cana-2484	331	24	for	for	ADP
cana-2484	331	25	urgent	urgent	ADJ
cana-2484	331	26	cases	case	NOUN
cana-2484	331	27	or	or	CCONJ
cana-2484	331	28	areas	area	NOUN
cana-2484	331	29	with	with	ADP
cana-2484	331	30	little	little	ADJ
cana-2484	331	31	internet	internet	NOUN
cana-2484	331	32	connectivity	connectivity	NOUN
cana-2484	331	33	.	.	PUNCT
cana-2484	332	1	in	in	ADP
cana-2484	332	2	order	order	NOUN
cana-2484	332	3	to	to	PART
cana-2484	332	4	make	make	VERB
cana-2484	332	5	it	it	PRON
cana-2484	332	6	easy	easy	ADJ
cana-2484	332	7	for	for	SCONJ
cana-2484	332	8	clinicians	clinician	NOUN
cana-2484	332	9	to	to	PART
cana-2484	332	10	upload	upload	VERB
cana-2484	332	11	images	image	NOUN
cana-2484	332	12	and	and	CCONJ
cana-2484	332	13	receive	receive	VERB
cana-2484	332	14	a	a	DET
cana-2484	332	15	diagnosis	diagnosis	NOUN
cana-2484	332	16	with	with	ADP
cana-2484	332	17	explanations	explanation	NOUN
cana-2484	332	18	of	of	ADP
cana-2484	332	19	the	the	DET
cana-2484	332	20	reasoning	reasoning	NOUN
cana-2484	332	21	behind	behind	ADP
cana-2484	332	22	the	the	DET
cana-2484	332	23	decisions	decision	NOUN
cana-2484	332	24	that	that	PRON
cana-2484	332	25	were	be	AUX
cana-2484	332	26	made	make	VERB
cana-2484	332	27	,	,	PUNCT
cana-2484	332	28	the	the	DET
cana-2484	332	29	user	user	NOUN
cana-2484	332	30	interface	interface	NOUN
cana-2484	332	31	all	all	DET
cana-2484	332	32	thaht	thaht	NOUN
cana-2484	332	33	was	be	AUX
cana-2484	332	34	tailored	tailor	VERB
cana-2484	332	35	in	in	ADP
cana-2484	332	36	accordance	accordance	NOUN
cana-2484	332	37	to	to	ADP
cana-2484	332	38	what	what	PRON
cana-2484	332	39	will	will	AUX
cana-2484	332	40	work	work	VERB
cana-2484	332	41	best	good	ADJ
cana-2484	332	42	for	for	ADP
cana-2484	332	43	the	the	DET
cana-2484	332	44	clinicains	clinicain	NOUN
cana-2484	332	45	.	.	PUNCT
cana-2484	333	1	this	this	DET
cana-2484	333	2	type	type	NOUN
cana-2484	333	3	of	of	ADP
cana-2484	333	4	transparency	transparency	NOUN
cana-2484	333	5	and	and	CCONJ
cana-2484	333	6	simplicity	simplicity	NOUN
cana-2484	333	7	is	be	AUX
cana-2484	333	8	crucial	crucial	ADJ
cana-2484	333	9	for	for	ADP
cana-2484	333	10	provider	provider	NOUN
cana-2484	333	11	acceptance	acceptance	NOUN
cana-2484	333	12	and	and	CCONJ
cana-2484	333	13	credibility	credibility	NOUN
cana-2484	333	14	.	.	PUNCT
cana-2484	334	1	communications	communication	NOUN
cana-2484	334	2	on	on	ADP
cana-2484	334	3	applied	apply	VERB
cana-2484	334	4	nonlinear	nonlinear	ADJ
cana-2484	334	5	analysis	analysis	NOUN
cana-2484	334	6	issn	issn	NOUN
cana-2484	334	7	:	:	PUNCT
cana-2484	334	8	1074	1074	NUM
cana-2484	334	9	-	-	PUNCT
cana-2484	334	10	133x	133x	NUM
cana-2484	334	11	vol	vol	NOUN
cana-2484	334	12	32	32	NUM
cana-2484	334	13	no	no	NOUN
cana-2484	334	14	.	.	PUNCT
cana-2484	335	1	2s	2s	NUM
cana-2484	335	2	(	(	PUNCT
cana-2484	335	3	2025	2025	NUM
cana-2484	335	4	)	)	PUNCT
cana-2484	335	5	512	512	NUM
cana-2484	335	6	https://internationalpubls.com	https://internationalpubls.com	SYM
cana-2484	335	7	●	●	NUM
cana-2484	335	8	discussion	discussion	NOUN
cana-2484	335	9	:	:	PUNCT
cana-2484	335	10	implications	implication	NOUN
cana-2484	335	11	and	and	CCONJ
cana-2484	335	12	future	future	ADJ
cana-2484	335	13	directions	direction	NOUN
cana-2484	335	14	the	the	DET
cana-2484	335	15	dnn	dnn	PROPN
cana-2484	335	16	-	-	ADJ
cana-2484	335	17	fuzzy	fuzzy	ADJ
cana-2484	335	18	logic	logic	NOUN
cana-2484	335	19	coupling	coupling	NOUN
cana-2484	335	20	for	for	ADP
cana-2484	335	21	diagnosing	diagnose	VERB
cana-2484	335	22	glaucoma	glaucoma	NOUN
cana-2484	335	23	and	and	CCONJ
cana-2484	335	24	dr	dr	PROPN
cana-2484	335	25	indicates	indicate	VERB
cana-2484	335	26	a	a	DET
cana-2484	335	27	change	change	NOUN
cana-2484	335	28	in	in	ADP
cana-2484	335	29	shift	shift	NOUN
cana-2484	335	30	from	from	ADP
cana-2484	335	31	paradigm	paradigm	NOUN
cana-2484	335	32	within	within	ADP
cana-2484	335	33	ophthalmology	ophthalmology	NOUN
cana-2484	335	34	as	as	ADV
cana-2484	335	35	well	well	ADV
cana-2484	335	36	to	to	PART
cana-2484	335	37	ai	ai	VERB
cana-2484	335	38	usage	usage	NOUN
cana-2484	335	39	in	in	ADP
cana-2484	335	40	healthcare	healthcare	NOUN
cana-2484	335	41	domain	domain	NOUN
cana-2484	335	42	globally	globally	ADV
cana-2484	335	43	.	.	PUNCT
cana-2484	336	1	these	these	DET
cana-2484	336	2	methods	method	NOUN
cana-2484	336	3	can	can	AUX
cana-2484	336	4	be	be	AUX
cana-2484	336	5	similarly	similarly	ADV
cana-2484	336	6	extended	extend	VERB
cana-2484	336	7	to	to	ADP
cana-2484	336	8	other	other	ADJ
cana-2484	336	9	areas	area	NOUN
cana-2484	336	10	such	such	ADJ
cana-2484	336	11	as	as	ADP
cana-2484	336	12	oncology	oncology	NOUN
cana-2484	336	13	,	,	PUNCT
cana-2484	336	14	cardiology	cardiology	NOUN
cana-2484	336	15	and	and	CCONJ
cana-2484	336	16	dermatology	dermatology	NOUN
cana-2484	336	17	where	where	SCONJ
cana-2484	336	18	early	early	ADJ
cana-2484	336	19	identification	identification	NOUN
cana-2484	336	20	of	of	ADP
cana-2484	336	21	diseases	disease	NOUN
cana-2484	336	22	will	will	AUX
cana-2484	336	23	have	have	VERB
cana-2484	336	24	a	a	DET
cana-2484	336	25	significant	significant	ADJ
cana-2484	336	26	impact	impact	NOUN
cana-2484	336	27	on	on	ADP
cana-2484	336	28	patient	patient	ADJ
cana-2484	336	29	outcomes	outcome	NOUN
cana-2484	336	30	.	.	PUNCT
cana-2484	337	1	however	however	ADV
cana-2484	337	2	,	,	PUNCT
cana-2484	337	3	future	future	ADJ
cana-2484	337	4	work	work	NOUN
cana-2484	337	5	awaits	await	VERB
cana-2484	337	6	to	to	PART
cana-2484	337	7	be	be	AUX
cana-2484	337	8	done	do	VERB
cana-2484	337	9	,	,	PUNCT
cana-2484	337	10	where	where	SCONJ
cana-2484	337	11	we	we	PRON
cana-2484	337	12	have	have	VERB
cana-2484	337	13	many	many	ADJ
cana-2484	337	14	challenges	challenge	NOUN
cana-2484	337	15	yet	yet	ADV
cana-2484	337	16	to	to	PART
cana-2484	337	17	address	address	VERB
cana-2484	337	18	.	.	PUNCT
cana-2484	338	1	foremost	foremost	ADV
cana-2484	338	2	among	among	ADP
cana-2484	338	3	these	these	DET
cana-2484	338	4	issues	issue	NOUN
cana-2484	338	5	is	be	AUX
cana-2484	338	6	the	the	DET
cana-2484	338	7	necessity	necessity	NOUN
cana-2484	338	8	of	of	ADP
cana-2484	338	9	large	large	ADJ
cana-2484	338	10	,	,	PUNCT
cana-2484	338	11	heterogeneous	heterogeneous	ADJ
cana-2484	338	12	and	and	CCONJ
cana-2484	338	13	accurately	accurately	ADV
cana-2484	338	14	annotated	annotate	VERB
cana-2484	338	15	datasets	dataset	NOUN
cana-2484	338	16	to	to	PART
cana-2484	338	17	adequately	adequately	ADV
cana-2484	338	18	train	train	VERB
cana-2484	338	19	and	and	CCONJ
cana-2484	338	20	validate	validate	VERB
cana-2484	338	21	models	model	NOUN
cana-2484	338	22	.	.	PUNCT
cana-2484	339	1	joint	joint	ADJ
cana-2484	339	2	efforts	effort	NOUN
cana-2484	339	3	among	among	ADP
cana-2484	339	4	prominent	prominent	ADJ
cana-2484	339	5	medical	medical	ADJ
cana-2484	339	6	centers	center	NOUN
cana-2484	339	7	to	to	PART
cana-2484	339	8	develop	develop	VERB
cana-2484	339	9	comprehensive	comprehensive	ADJ
cana-2484	339	10	image	image	NOUN
cana-2484	339	11	repositories	repository	NOUN
cana-2484	339	12	will	will	AUX
cana-2484	339	13	also	also	ADV
cana-2484	339	14	help	help	VERB
cana-2484	339	15	address	address	VERB
cana-2484	339	16	this	this	DET
cana-2484	339	17	shortcoming	shortcoming	NOUN
cana-2484	339	18	.	.	PUNCT
cana-2484	340	1	moreover	moreover	ADV
cana-2484	340	2	,	,	PUNCT
cana-2484	340	3	although	although	SCONJ
cana-2484	340	4	fuzzy	fuzzy	ADJ
cana-2484	340	5	logic	logic	NOUN
cana-2484	340	6	enhances	enhance	VERB
cana-2484	340	7	explainability	explainability	NOUN
cana-2484	340	8	,	,	PUNCT
cana-2484	340	9	exploration	exploration	NOUN
cana-2484	340	10	into	into	ADP
cana-2484	340	11	other	other	ADJ
cana-2484	340	12	explainable	explainable	ADJ
cana-2484	340	13	ai	ai	NOUN
cana-2484	340	14	(	(	PUNCT
cana-2484	340	15	xai	xai	PROPN
cana-2484	340	16	)	)	PUNCT
cana-2484	340	17	methods	method	NOUN
cana-2484	340	18	like	like	ADP
cana-2484	340	19	the	the	DET
cana-2484	340	20	use	use	NOUN
cana-2484	340	21	of	of	ADP
cana-2484	340	22	bayesian	bayesian	NOUN
cana-2484	340	23	networks	network	NOUN
cana-2484	340	24	or	or	CCONJ
cana-2484	340	25	attention	attention	NOUN
cana-2484	340	26	mechanisms	mechanism	NOUN
cana-2484	340	27	can	can	AUX
cana-2484	340	28	act	act	VERB
cana-2484	340	29	as	as	ADV
cana-2484	340	30	better	well	ADJ
cana-2484	340	31	a&i	a&i	PROPN
cana-2484	340	32	tool	tool	NOUN
cana-2484	340	33	to	to	PART
cana-2484	340	34	interpret	interpret	VERB
cana-2484	340	35	deeper	deep	ADJ
cana-2484	340	36	about	about	ADP
cana-2484	340	37	why	why	SCONJ
cana-2484	340	38	models	model	NOUN
cana-2484	340	39	made	make	VERB
cana-2484	340	40	what	what	DET
cana-2484	340	41	decision	decision	NOUN
cana-2484	340	42	.	.	PUNCT
cana-2484	341	1	another	another	DET
cana-2484	341	2	direction	direction	NOUN
cana-2484	341	3	for	for	ADP
cana-2484	341	4	future	future	ADJ
cana-2484	341	5	work	work	NOUN
cana-2484	341	6	is	be	AUX
cana-2484	341	7	to	to	PART
cana-2484	341	8	combine	combine	VERB
cana-2484	341	9	multimodal	multimodal	ADJ
cana-2484	341	10	data	datum	NOUN
cana-2484	341	11	,	,	PUNCT
cana-2484	341	12	such	such	ADJ
cana-2484	341	13	as	as	ADP
cana-2484	341	14	genetic	genetic	ADJ
cana-2484	341	15	data	datum	NOUN
cana-2484	341	16	,	,	PUNCT
cana-2484	341	17	patient	patient	ADJ
cana-2484	341	18	history	history	NOUN
cana-2484	341	19	and	and	CCONJ
cana-2484	341	20	lifestyle	lifestyle	NOUN
cana-2484	341	21	related	relate	VERB
cana-2484	341	22	information	information	NOUN
cana-2484	341	23	with	with	ADP
cana-2484	341	24	the	the	DET
cana-2484	341	25	diagnostic	diagnostic	ADJ
cana-2484	341	26	model	model	NOUN
cana-2484	341	27	.	.	PUNCT
cana-2484	342	1	the	the	DET
cana-2484	342	2	system	system	NOUN
cana-2484	342	3	will	will	AUX
cana-2484	342	4	help	help	VERB
cana-2484	342	5	to	to	PART
cana-2484	342	6	give	give	VERB
cana-2484	342	7	a	a	DET
cana-2484	342	8	more	more	ADV
cana-2484	342	9	tailored	tailor	VERB
cana-2484	342	10	risk	risk	NOUN
cana-2484	342	11	stratification	stratification	NOUN
cana-2484	342	12	and	and	CCONJ
cana-2484	342	13	personalised	personalised	ADJ
cana-2484	342	14	treatment	treatment	NOUN
cana-2484	342	15	pathway	pathway	NOUN
cana-2484	342	16	for	for	ADP
cana-2484	342	17	patients	patient	NOUN
cana-2484	342	18	,	,	PUNCT
cana-2484	342	19	by	by	ADP
cana-2484	342	20	integrating	integrate	VERB
cana-2484	342	21	imaging	imaging	NOUN
cana-2484	342	22	with	with	ADP
cana-2484	342	23	nonvisual	nonvisual	ADJ
cana-2484	342	24	clinical	clinical	ADJ
cana-2484	342	25	information	information	NOUN
cana-2484	342	26	.	.	PUNCT
cana-2484	343	1	the	the	DET
cana-2484	343	2	results	result	NOUN
cana-2484	343	3	of	of	ADP
cana-2484	343	4	this	this	DET
cana-2484	343	5	study	study	NOUN
cana-2484	343	6	demonstrate	demonstrate	VERB
cana-2484	343	7	that	that	SCONJ
cana-2484	343	8	the	the	DET
cana-2484	343	9	use	use	NOUN
cana-2484	343	10	deep	deep	ADJ
cana-2484	343	11	learning	learning	NOUN
cana-2484	343	12	and	and	CCONJ
cana-2484	343	13	fuzzy	fuzzy	ADJ
cana-2484	343	14	logic	logic	NOUN
cana-2484	343	15	together	together	ADV
cana-2484	343	16	provides	provide	VERB
cana-2484	343	17	a	a	DET
cana-2484	343	18	high	high	ADJ
cana-2484	343	19	-	-	PUNCT
cana-2484	343	20	performance	performance	NOUN
cana-2484	343	21	tool	tool	NOUN
cana-2484	343	22	for	for	ADP
cana-2484	343	23	detection	detection	NOUN
cana-2484	343	24	and	and	CCONJ
cana-2484	343	25	treatment	treatment	NOUN
cana-2484	343	26	of	of	ADP
cana-2484	343	27	glaucoma	glaucoma	NOUN
cana-2484	343	28	and	and	CCONJ
cana-2484	343	29	diabetic	diabetic	ADJ
cana-2484	343	30	retinopathy	retinopathy	NOUN
cana-2484	343	31	in	in	ADP
cana-2484	343	32	early	early	ADJ
cana-2484	343	33	stage	stage	NOUN
cana-2484	343	34	.	.	PUNCT
cana-2484	344	1	the	the	DET
cana-2484	344	2	useful	useful	ADJ
cana-2484	344	3	system	system	NOUN
cana-2484	344	4	extracts	extract	VERB
cana-2484	344	5	the	the	DET
cana-2484	344	6	high	high	ADJ
cana-2484	344	7	expression	expression	NOUN
cana-2484	344	8	of	of	ADP
cana-2484	344	9	features	feature	NOUN
cana-2484	344	10	of	of	ADP
cana-2484	344	11	cnns	cnn	NOUN
cana-2484	344	12	with	with	ADP
cana-2484	344	13	interpretative	interpretative	ADJ
cana-2484	344	14	power	power	NOUN
cana-2484	344	15	of	of	ADP
cana-2484	344	16	fuzzy	fuzzy	ADJ
cana-2484	344	17	logic	logic	NOUN
cana-2484	344	18	,	,	PUNCT
cana-2484	344	19	so	so	SCONJ
cana-2484	344	20	as	as	SCONJ
cana-2484	344	21	to	to	PART
cana-2484	344	22	not	not	PART
cana-2484	344	23	only	only	ADV
cana-2484	344	24	obtain	obtain	VERB
cana-2484	344	25	the	the	DET
cana-2484	344	26	high	high	ADJ
cana-2484	344	27	diagnostic	diagnostic	ADJ
cana-2484	344	28	accuracy	accuracy	NOUN
cana-2484	344	29	,	,	PUNCT
cana-2484	344	30	but	but	CCONJ
cana-2484	344	31	also	also	ADV
cana-2484	344	32	provide	provide	VERB
cana-2484	344	33	insightful	insightful	ADJ
cana-2484	344	34	information	information	NOUN
cana-2484	344	35	that	that	PRON
cana-2484	344	36	is	be	AUX
cana-2484	344	37	in	in	ADP
cana-2484	344	38	accordance	accordance	NOUN
cana-2484	344	39	with	with	ADP
cana-2484	344	40	clinical	clinical	ADJ
cana-2484	344	41	way	way	NOUN
cana-2484	344	42	.	.	PUNCT
cana-2484	345	1	interpretability	interpretability	NOUN
cana-2484	345	2	is	be	AUX
cana-2484	345	3	important	important	ADJ
cana-2484	345	4	for	for	ADP
cana-2484	345	5	developing	develop	VERB
cana-2484	345	6	trust	trust	NOUN
cana-2484	345	7	and	and	CCONJ
cana-2484	345	8	adoption	adoption	NOUN
cana-2484	345	9	among	among	ADP
cana-2484	345	10	healthcare	healthcare	NOUN
cana-2484	345	11	providers	provider	NOUN
cana-2484	345	12	which	which	PRON
cana-2484	345	13	directly	directly	ADV
cana-2484	345	14	affects	affect	VERB
cana-2484	345	15	patient	patient	ADJ
cana-2484	345	16	care	care	NOUN
cana-2484	345	17	.	.	PUNCT
cana-2484	346	1	the	the	DET
cana-2484	346	2	system	system	NOUN
cana-2484	346	3	has	have	VERB
cana-2484	346	4	the	the	DET
cana-2484	346	5	potential	potential	NOUN
cana-2484	346	6	to	to	PART
cana-2484	346	7	transform	transform	VERB
cana-2484	346	8	eye	eye	NOUN
cana-2484	346	9	care	care	NOUN
cana-2484	346	10	delivery	delivery	NOUN
cana-2484	346	11	in	in	ADP
cana-2484	346	12	places	place	NOUN
cana-2484	346	13	where	where	SCONJ
cana-2484	346	14	access	access	NOUN
cana-2484	346	15	to	to	ADP
cana-2484	346	16	trained	train	VERB
cana-2484	346	17	health	health	NOUN
cana-2484	346	18	personnel	personnel	NOUN
cana-2484	346	19	is	be	AUX
cana-2484	346	20	inadequate	inadequate	ADJ
cana-2484	346	21	.	.	PUNCT
cana-2484	347	1	this	this	DET
cana-2484	347	2	technology	technology	NOUN
cana-2484	347	3	has	have	VERB
cana-2484	347	4	the	the	DET
cana-2484	347	5	potential	potential	NOUN
cana-2484	347	6	to	to	PART
cana-2484	347	7	be	be	AUX
cana-2484	347	8	a	a	DET
cana-2484	347	9	life	life	NOUN
cana-2484	347	10	-	-	PUNCT
cana-2484	347	11	changing	change	VERB
cana-2484	347	12	invention	invention	NOUN
cana-2484	347	13	as	as	SCONJ
cana-2484	347	14	it	it	PRON
cana-2484	347	15	allows	allow	VERB
cana-2484	347	16	for	for	ADP
cana-2484	347	17	automated	automate	VERB
cana-2484	347	18	,	,	PUNCT
cana-2484	347	19	rapid	rapid	ADJ
cana-2484	347	20	and	and	CCONJ
cana-2484	347	21	accurate	accurate	ADJ
cana-2484	347	22	screening	screening	NOUN
cana-2484	347	23	of	of	ADP
cana-2484	347	24	numerous	numerous	ADJ
cana-2484	347	25	retinal	retinal	ADJ
cana-2484	347	26	diseases	disease	NOUN
cana-2484	347	27	.	.	PUNCT
cana-2484	348	1	in	in	ADP
cana-2484	348	2	addition	addition	NOUN
cana-2484	348	3	,	,	PUNCT
cana-2484	348	4	the	the	DET
cana-2484	348	5	methods	method	NOUN
cana-2484	348	6	and	and	CCONJ
cana-2484	348	7	learnings	learning	NOUN
cana-2484	348	8	acquired	acquire	VERB
cana-2484	348	9	from	from	ADP
cana-2484	348	10	this	this	DET
cana-2484	348	11	study	study	NOUN
cana-2484	348	12	are	be	AUX
cana-2484	348	13	applicable	applicable	ADJ
cana-2484	348	14	beyond	beyond	ADP
cana-2484	348	15	ophthalmology	ophthalmology	NOUN
cana-2484	348	16	and	and	CCONJ
cana-2484	348	17	can	can	AUX
cana-2484	348	18	have	have	VERB
cana-2484	348	19	an	an	DET
cana-2484	348	20	impact	impact	NOUN
cana-2484	348	21	on	on	ADP
cana-2484	348	22	ai	ai	ADJ
cana-2484	348	23	-	-	PUNCT
cana-2484	348	24	assisted	assist	VERB
cana-2484	348	25	diagnostics	diagnostic	NOUN
cana-2484	348	26	within	within	ADP
cana-2484	348	27	medical	medical	ADJ
cana-2484	348	28	practice	practice	NOUN
cana-2484	348	29	.	.	PUNCT
cana-2484	349	1	with	with	ADP
cana-2484	349	2	that	that	PRON
cana-2484	349	3	,	,	PUNCT
cana-2484	349	4	more	more	ADJ
cana-2484	349	5	research	research	NOUN
cana-2484	349	6	along	along	ADP
cana-2484	349	7	with	with	ADP
cana-2484	349	8	collaboration	collaboration	NOUN
cana-2484	349	9	will	will	AUX
cana-2484	349	10	be	be	AUX
cana-2484	349	11	necessary	necessary	ADJ
cana-2484	349	12	to	to	ADP
cana-2484	349	13	maturity	maturity	NOUN
cana-2484	349	14	these	these	DET
cana-2484	349	15	models	model	NOUN
cana-2484	349	16	and	and	CCONJ
cana-2484	349	17	understand	understand	VERB
cana-2484	349	18	their	their	PRON
cana-2484	349	19	strengths	strength	NOUN
cana-2484	349	20	and	and	CCONJ
cana-2484	349	21	weaknesses	weakness	NOUN
cana-2484	349	22	—	—	PUNCT
cana-2484	349	23	the	the	DET
cana-2484	349	24	latter	latter	NOUN
cana-2484	349	25	of	of	ADP
cana-2484	349	26	which	which	PRON
cana-2484	349	27	is	be	AUX
cana-2484	349	28	equally	equally	ADV
cana-2484	349	29	important	important	ADJ
cana-2484	349	30	.	.	PUNCT
cana-2484	350	1	combining	combine	VERB
cana-2484	350	2	ai	ai	NOUN
cana-2484	350	3	,	,	PUNCT
cana-2484	350	4	medical	medical	ADJ
cana-2484	350	5	imaging	imaging	NOUN
cana-2484	350	6	,	,	PUNCT
cana-2484	350	7	and	and	CCONJ
cana-2484	350	8	data	datum	NOUN
cana-2484	350	9	pool	pool	NOUN
cana-2484	350	10	sharing	sharing	NOUN
cana-2484	350	11	for	for	ADP
cana-2484	350	12	one	one	NUM
cana-2484	350	13	core	core	NOUN
cana-2484	350	14	purpose	purpose	NOUN
cana-2484	350	15	of	of	ADP
cana-2484	350	16	advancing	advance	VERB
cana-2484	350	17	automated	automated	ADJ
cana-2484	350	18	diagnostics	diagnostic	NOUN
cana-2484	350	19	,	,	PUNCT
cana-2484	350	20	the	the	DET
cana-2484	350	21	future	future	NOUN
cana-2484	350	22	of	of	ADP
cana-2484	350	23	progress	progress	NOUN
cana-2484	350	24	in	in	ADP
cana-2484	350	25	healthcare	healthcare	NOUN
cana-2484	350	26	could	could	AUX
cana-2484	350	27	be	be	AUX
cana-2484	350	28	highly	highly	ADV
cana-2484	350	29	foreseeable	foreseeable	ADJ
cana-2484	350	30	.	.	PUNCT
cana-2484	351	1	in	in	ADP
cana-2484	351	2	short	short	ADJ
cana-2484	351	3	,	,	PUNCT
cana-2484	351	4	the	the	DET
cana-2484	351	5	enablement	enablement	NOUN
cana-2484	351	6	of	of	ADP
cana-2484	351	7	ai	ai	VERB
cana-2484	351	8	in	in	ADP
cana-2484	351	9	clinical	clinical	ADJ
cana-2484	351	10	practice	practice	NOUN
cana-2484	351	11	will	will	AUX
cana-2484	351	12	be	be	AUX
cana-2484	351	13	one	one	NUM
cana-2484	351	14	whence	whence	NOUN
cana-2484	351	15	human	human	ADJ
cana-2484	351	16	expertise	expertise	NOUN
cana-2484	351	17	is	be	AUX
cana-2484	351	18	not	not	PART
cana-2484	351	19	supplanted	supplant	VERB
cana-2484	351	20	but	but	CCONJ
cana-2484	351	21	supplemented	supplement	VERB
cana-2484	351	22	by	by	ADP
cana-2484	351	23	technology	technology	NOUN
cana-2484	351	24	;	;	PUNCT
cana-2484	351	25	equipping	equip	VERB
cana-2484	351	26	clinicians	clinician	NOUN
cana-2484	351	27	with	with	ADP
cana-2484	351	28	new	new	ADJ
cana-2484	351	29	tools	tool	NOUN
cana-2484	351	30	to	to	PART
cana-2484	351	31	make	make	VERB
cana-2484	351	32	more	more	ADV
cana-2484	351	33	precise	precise	ADJ
cana-2484	351	34	and	and	CCONJ
cana-2484	351	35	timely	timely	ADJ
cana-2484	351	36	determinations	determination	NOUN
cana-2484	351	37	in	in	ADP
cana-2484	351	38	the	the	DET
cana-2484	351	39	fight	fight	NOUN
cana-2484	351	40	against	against	ADP
cana-2484	351	41	blindness	blindness	NOUN
cana-2484	351	42	and	and	CCONJ
cana-2484	351	43	other	other	ADJ
cana-2484	351	44	diseases	disease	NOUN
cana-2484	351	45	.	.	PUNCT
cana-2484	352	1	references	reference	NOUN
cana-2484	352	2	:	:	PUNCT
cana-2484	353	1	[	[	X
cana-2484	353	2	1	1	NUM
cana-2484	353	3	]	]	X
cana-2484	353	4	târcoveanu	târcoveanu	PROPN
cana-2484	353	5	,	,	PUNCT
cana-2484	353	6	f.	f.	PROPN
cana-2484	353	7	,	,	PUNCT
cana-2484	353	8	leon	leon	PROPN
cana-2484	353	9	,	,	PUNCT
cana-2484	353	10	f.	f.	PROPN
cana-2484	353	11	,	,	PUNCT
cana-2484	353	12	lisa	lisa	PROPN
cana-2484	353	13	,	,	PUNCT
cana-2484	353	14	c.	c.	PROPN
cana-2484	353	15	,	,	PUNCT
cana-2484	353	16	curteanu	curteanu	PROPN
cana-2484	353	17	,	,	PUNCT
cana-2484	353	18	s.	s.	PROPN
cana-2484	353	19	,	,	PUNCT
cana-2484	353	20	feraru	feraru	PROPN
cana-2484	353	21	,	,	PUNCT
cana-2484	353	22	a.	a.	PROPN
cana-2484	353	23	,	,	PUNCT
cana-2484	353	24	ali	ali	PROPN
cana-2484	353	25	,	,	PUNCT
cana-2484	353	26	k.	k.	PROPN
cana-2484	353	27	,	,	PUNCT
cana-2484	353	28	&	&	CCONJ
cana-2484	353	29	anton	anton	PROPN
cana-2484	353	30	,	,	PUNCT
cana-2484	353	31	n.	n.	NOUN
cana-2484	353	32	(	(	PUNCT
cana-2484	353	33	2024	2024	NUM
cana-2484	353	34	)	)	PUNCT
cana-2484	353	35	.	.	PUNCT
cana-2484	354	1	the	the	DET
cana-2484	354	2	use	use	NOUN
cana-2484	354	3	of	of	ADP
cana-2484	354	4	artificial	artificial	ADJ
cana-2484	354	5	neural	neural	ADJ
cana-2484	354	6	networks	network	NOUN
cana-2484	354	7	in	in	ADP
cana-2484	354	8	studying	study	VERB
cana-2484	354	9	the	the	DET
cana-2484	354	10	progression	progression	NOUN
cana-2484	354	11	of	of	ADP
cana-2484	354	12	glaucoma	glaucoma	NOUN
cana-2484	354	13	.	.	PUNCT
cana-2484	355	1	scientific	scientific	ADJ
cana-2484	355	2	reports	report	NOUN
cana-2484	355	3	,	,	PUNCT
cana-2484	355	4	14(1	14(1	NUM
cana-2484	355	5	)	)	PUNCT
cana-2484	355	6	,	,	PUNCT
cana-2484	355	7	19597	19597	NUM
cana-2484	355	8	.	.	PUNCT
cana-2484	356	1	[	[	X
cana-2484	356	2	2	2	NUM
cana-2484	356	3	]	]	SYM
cana-2484	356	4	yi	yi	PROPN
cana-2484	356	5	,	,	PUNCT
cana-2484	356	6	sanli	sanli	NOUN
cana-2484	356	7	,	,	PUNCT
cana-2484	356	8	and	and	CCONJ
cana-2484	356	9	lingxiang	lingxiang	PROPN
cana-2484	356	10	zhou	zhou	PROPN
cana-2484	356	11	.	.	PUNCT
cana-2484	357	1	"	"	PUNCT
cana-2484	357	2	multi	multi	ADJ
cana-2484	357	3	-	-	ADJ
cana-2484	357	4	step	step	ADJ
cana-2484	357	5	framework	framework	NOUN
cana-2484	357	6	for	for	ADP
cana-2484	357	7	glaucoma	glaucoma	NOUN
cana-2484	357	8	diagnosis	diagnosis	NOUN
cana-2484	357	9	in	in	ADP
cana-2484	357	10	retinal	retinal	ADJ
cana-2484	357	11	fundus	fundus	NOUN
cana-2484	357	12	images	image	NOUN
cana-2484	357	13	using	use	VERB
cana-2484	357	14	deep	deep	ADJ
cana-2484	357	15	learning	learning	NOUN
cana-2484	357	16	.	.	PUNCT
cana-2484	357	17	"	"	PUNCT
cana-2484	358	1	medical	medical	ADJ
cana-2484	358	2	&	&	CCONJ
cana-2484	358	3	biological	biological	ADJ
cana-2484	358	4	engineering	engineering	PROPN
cana-2484	358	5	&	&	CCONJ
cana-2484	358	6	computing	computing	PROPN
cana-2484	358	7	(	(	PUNCT
cana-2484	358	8	2024	2024	NUM
cana-2484	358	9	):	):	PUNCT
cana-2484	358	10	1	1	NUM
cana-2484	358	11	-	-	SYM
cana-2484	358	12	13	13	NUM
cana-2484	358	13	.	.	PUNCT
cana-2484	359	1	[	[	X
cana-2484	359	2	3	3	X
cana-2484	359	3	]	]	X
cana-2484	359	4	mary	mary	PROPN
cana-2484	359	5	mcvs	mcvs	PROPN
cana-2484	359	6	,	,	PUNCT
cana-2484	359	7	rajsingh	rajsingh	PROPN
cana-2484	359	8	eb	eb	PROPN
cana-2484	359	9	,	,	PUNCT
cana-2484	359	10	naik	naik	PROPN
cana-2484	359	11	gr	gr	PROPN
cana-2484	359	12	(	(	PUNCT
cana-2484	359	13	2016	2016	NUM
cana-2484	359	14	)	)	PUNCT
cana-2484	359	15	retinal	retinal	ADJ
cana-2484	359	16	fundus	fundus	NOUN
cana-2484	359	17	image	image	NOUN
cana-2484	359	18	analysis	analysis	NOUN
cana-2484	359	19	for	for	ADP
cana-2484	359	20	diagnosis	diagnosis	NOUN
cana-2484	359	21	of	of	ADP
cana-2484	359	22	glaucoma	glaucoma	NOUN
cana-2484	359	23	:	:	PUNCT
cana-2484	359	24	a	a	DET
cana-2484	359	25	comprehensive	comprehensive	ADJ
cana-2484	359	26	survey	survey	NOUN
cana-2484	359	27	.	.	PUNCT
cana-2484	360	1	ieee	ieee	NOUN
cana-2484	360	2	access	access	NOUN
cana-2484	360	3	4:4327–4354	4:4327–4354	NUM
cana-2484	361	1	[	[	X
cana-2484	361	2	4	4	NUM
cana-2484	361	3	]	]	X
cana-2484	361	4	gracitelli	gracitelli	PROPN
cana-2484	361	5	cp	cp	PROPN
cana-2484	361	6	,	,	PUNCT
cana-2484	361	7	abe	abe	PROPN
cana-2484	361	8	ry	ry	PROPN
cana-2484	361	9	,	,	PUNCT
cana-2484	361	10	medeiros	medeiros	PROPN
cana-2484	361	11	fa	fa	PROPN
cana-2484	361	12	(	(	PUNCT
cana-2484	361	13	2015	2015	NUM
cana-2484	361	14	)	)	PUNCT
cana-2484	361	15	spectral	spectral	ADJ
cana-2484	361	16	-	-	PUNCT
cana-2484	361	17	domain	domain	NOUN
cana-2484	361	18	optical	optical	ADJ
cana-2484	361	19	coherence	coherence	NOUN
cana-2484	361	20	tomography	tomography	NOUN
cana-2484	361	21	for	for	ADP
cana-2484	361	22	glaucoma	glaucoma	NOUN
cana-2484	361	23	diagnosis	diagnosis	NOUN
cana-2484	361	24	.	.	PUNCT
cana-2484	362	1	open	open	VERB
cana-2484	362	2	ophthalmol	ophthalmol	PROPN
cana-2484	362	3	j	j	PROPN
cana-2484	362	4	9(1):68–77	9(1):68–77	NUM
cana-2484	362	5	.	.	PUNCT
cana-2484	363	1	[	[	X
cana-2484	363	2	5	5	X
cana-2484	363	3	]	]	X
cana-2484	363	4	lee	lee	PROPN
cana-2484	363	5	t	t	PROPN
cana-2484	363	6	,	,	PUNCT
cana-2484	363	7	jammal	jammal	ADJ
cana-2484	363	8	aa	aa	PROPN
cana-2484	363	9	,	,	PUNCT
cana-2484	363	10	mariottoni	mariottoni	PROPN
cana-2484	363	11	eb	eb	PROPN
cana-2484	363	12	,	,	PUNCT
cana-2484	363	13	medeiros	medeiros	PROPN
cana-2484	363	14	fa	fa	PROPN
cana-2484	363	15	(	(	PUNCT
cana-2484	363	16	2021	2021	NUM
cana-2484	363	17	)	)	PUNCT
cana-2484	363	18	predicting	predict	VERB
cana-2484	363	19	glaucoma	glaucoma	NOUN
cana-2484	363	20	development	development	NOUN
cana-2484	363	21	with	with	ADP
cana-2484	363	22	longitudinal	longitudinal	ADJ
cana-2484	363	23	deep	deep	ADJ
cana-2484	363	24	learning	learning	NOUN
cana-2484	363	25	predictions	prediction	NOUN
cana-2484	363	26	from	from	ADP
cana-2484	363	27	fundus	fundus	NOUN
cana-2484	363	28	photographs[j	photographs[j	PROPN
cana-2484	363	29	]	]	PUNCT
cana-2484	363	30	.	.	PUNCT
cana-2484	364	1	am	be	AUX
cana-2484	364	2	j	j	PROPN
cana-2484	364	3	ophthalmol	ophthalmol	PROPN
cana-2484	365	1	225:86–94	225:86–94	NUM
cana-2484	365	2	communications	communication	NOUN
cana-2484	365	3	on	on	ADP
cana-2484	365	4	applied	apply	VERB
cana-2484	365	5	nonlinear	nonlinear	ADJ
cana-2484	365	6	analysis	analysis	NOUN
cana-2484	365	7	issn	issn	NOUN
cana-2484	365	8	:	:	PUNCT
cana-2484	365	9	1074	1074	NUM
cana-2484	365	10	-	-	PUNCT
cana-2484	365	11	133x	133x	NUM
cana-2484	365	12	vol	vol	NOUN
cana-2484	365	13	32	32	NUM
cana-2484	365	14	no	no	NOUN
cana-2484	365	15	.	.	PUNCT
cana-2484	366	1	2s	2s	NUM
cana-2484	366	2	(	(	PUNCT
cana-2484	366	3	2025	2025	NUM
cana-2484	366	4	)	)	PUNCT
cana-2484	366	5	513	513	NUM
cana-2484	366	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2484	367	1	[	[	X
cana-2484	367	2	6	6	NUM
cana-2484	367	3	]	]	PUNCT
cana-2484	367	4	parthasarathy	parthasarathy	PROPN
cana-2484	367	5	dr	dr	PROPN
cana-2484	367	6	,	,	PUNCT
cana-2484	367	7	hsu	hsu	PROPN
cana-2484	367	8	ck	ck	PROPN
cana-2484	367	9	,	,	PUNCT
cana-2484	367	10	eldeeb	eldeeb	PROPN
cana-2484	367	11	m	m	PROPN
cana-2484	367	12	,	,	PUNCT
cana-2484	367	13	jinapriya	jinapriya	PROPN
cana-2484	367	14	d	d	PROPN
cana-2484	367	15	,	,	PUNCT
cana-2484	367	16	shroff	shroff	PROPN
cana-2484	367	17	s	s	PROPN
cana-2484	367	18	,	,	PUNCT
cana-2484	367	19	shruthi	shruthi	PROPN
cana-2484	367	20	s	s	PROPN
cana-2484	367	21	,	,	PUNCT
cana-2484	367	22	savoy	savoy	NOUN
cana-2484	367	23	fm	fm	PROPN
cana-2484	367	24	(	(	PUNCT
cana-2484	367	25	2021	2021	NUM
cana-2484	367	26	)	)	PUNCT
cana-2484	367	27	development	development	NOUN
cana-2484	367	28	and	and	CCONJ
cana-2484	367	29	performance	performance	NOUN
cana-2484	367	30	of	of	ADP
cana-2484	367	31	a	a	DET
cana-2484	367	32	novel	novel	ADJ
cana-2484	367	33	‘	'	PUNCT
cana-2484	367	34	offline’deep	offline’deep	NOUN
cana-2484	367	35	learning	learning	NOUN
cana-2484	367	36	(	(	PUNCT
cana-2484	367	37	dl)-based	dl)-base	VERB
cana-2484	367	38	glaucoma	glaucoma	NOUN
cana-2484	367	39	screening	screening	NOUN
cana-2484	367	40	tool	tool	NOUN
cana-2484	367	41	integrated	integrate	VERB
cana-2484	367	42	on	on	ADP
cana-2484	367	43	a	a	DET
cana-2484	367	44	portable	portable	ADJ
cana-2484	367	45	smartphone	smartphone	NOUN
cana-2484	367	46	-	-	PUNCT
cana-2484	367	47	based	base	VERB
cana-2484	367	48	fundus	fundus	NOUN
cana-2484	367	49	camera	camera	NOUN
cana-2484	367	50	.	.	PUNCT
cana-2484	368	1	invest	invest	VERB
cana-2484	368	2	ophthalmol	ophthalmol	PROPN
cana-2484	368	3	vis	vis	X
cana-2484	368	4	sci	sci	PROPN
cana-2484	369	1	62(8):1002–1002	62(8):1002–1002	NUM
cana-2484	369	2	[	[	X
cana-2484	369	3	7	7	X
cana-2484	369	4	]	]	PUNCT
cana-2484	369	5	serener	serener	NOUN
cana-2484	369	6	a	a	NOUN
cana-2484	369	7	,	,	PUNCT
cana-2484	369	8	serte	serte	NOUN
cana-2484	369	9	s	s	PART
cana-2484	369	10	(	(	PUNCT
cana-2484	369	11	2019	2019	NUM
cana-2484	369	12	)	)	PUNCT
cana-2484	369	13	transfer	transfer	NOUN
cana-2484	369	14	learning	learning	NOUN
cana-2484	369	15	for	for	ADP
cana-2484	369	16	early	early	ADJ
cana-2484	369	17	and	and	CCONJ
cana-2484	369	18	advanced	advanced	ADJ
cana-2484	369	19	glaucoma	glaucoma	NOUN
cana-2484	369	20	detection	detection	NOUN
cana-2484	369	21	with	with	ADP
cana-2484	369	22	convolutional	convolutional	ADJ
cana-2484	369	23	neural	neural	ADJ
cana-2484	369	24	networks[c]//2019	networks[c]//2019	NUM
cana-2484	369	25	medical	medical	ADJ
cana-2484	369	26	technologies	technology	NOUN
cana-2484	369	27	congress	congress	PROPN
cana-2484	369	28	(	(	PUNCT
cana-2484	369	29	tiptekno	tiptekno	PROPN
cana-2484	369	30	)	)	PUNCT
cana-2484	369	31	.	.	PUNCT
cana-2484	370	1	ieee	ieee	PROPN
cana-2484	370	2	,	,	PUNCT
cana-2484	370	3	pp	pp	PROPN
cana-2484	370	4	1–4	1–4	PROPN
cana-2484	370	5	[	[	X
cana-2484	370	6	8	8	NUM
cana-2484	370	7	]	]	X
cana-2484	370	8	chen	chen	PROPN
cana-2484	370	9	x	x	PROPN
cana-2484	370	10	,	,	PUNCT
cana-2484	370	11	xu	xu	PROPN
cana-2484	370	12	y	y	PROPN
cana-2484	370	13	,	,	PUNCT
cana-2484	370	14	wong	wong	PROPN
cana-2484	370	15	dwk	dwk	PROPN
cana-2484	370	16	et	et	PROPN
cana-2484	370	17	al	al	PROPN
cana-2484	370	18	(	(	PUNCT
cana-2484	370	19	2015	2015	NUM
cana-2484	370	20	)	)	PUNCT
cana-2484	370	21	glaucoma	glaucoma	NOUN
cana-2484	370	22	detection	detection	NOUN
cana-2484	370	23	based	base	VERB
cana-2484	370	24	on	on	ADP
cana-2484	370	25	deep	deep	ADJ
cana-2484	370	26	convolutional	convolutional	ADJ
cana-2484	370	27	neural	neural	ADJ
cana-2484	370	28	network[c]//2015	network[c]//2015	PROPN
cana-2484	370	29	37th	37th	ADJ
cana-2484	370	30	annual	annual	ADJ
cana-2484	370	31	international	international	ADJ
cana-2484	370	32	conference	conference	NOUN
cana-2484	370	33	of	of	ADP
cana-2484	370	34	the	the	DET
cana-2484	370	35	ieee	ieee	NOUN
cana-2484	370	36	engineering	engineering	NOUN
cana-2484	370	37	in	in	ADP
cana-2484	370	38	medicine	medicine	NOUN
cana-2484	370	39	and	and	CCONJ
cana-2484	370	40	biology	biology	NOUN
cana-2484	370	41	society	society	NOUN
cana-2484	370	42	(	(	PUNCT
cana-2484	370	43	embc	embc	PROPN
cana-2484	370	44	)	)	PUNCT
cana-2484	370	45	.	.	PUNCT
cana-2484	371	1	ieee	ieee	PROPN
cana-2484	371	2	,	,	PUNCT
cana-2484	371	3	pp	pp	ADP
cana-2484	371	4	715–718	715–718	NUM
cana-2484	371	5	[	[	PUNCT
cana-2484	371	6	9	9	NUM
cana-2484	371	7	]	]	PUNCT
cana-2484	371	8	bajwa	bajwa	PROPN
cana-2484	371	9	mn	mn	PROPN
cana-2484	371	10	,	,	PUNCT
cana-2484	371	11	malik	malik	PROPN
cana-2484	371	12	mi	mi	PROPN
cana-2484	371	13	,	,	PUNCT
cana-2484	371	14	siddiqui	siddiqui	PROPN
cana-2484	371	15	sa	sa	PROPN
cana-2484	371	16	,	,	PUNCT
cana-2484	371	17	dengel	dengel	PROPN
cana-2484	371	18	a	a	PRON
cana-2484	371	19	,	,	PUNCT
cana-2484	371	20	shafait	shafait	ADJ
cana-2484	371	21	f	f	NOUN
cana-2484	371	22	,	,	PUNCT
cana-2484	371	23	neumeier	neumeier	PROPN
cana-2484	371	24	w	w	PROPN
cana-2484	371	25	,	,	PUNCT
cana-2484	371	26	ahmed	ahmed	PROPN
cana-2484	371	27	s	s	X
cana-2484	371	28	(	(	PUNCT
cana-2484	371	29	2019	2019	NUM
cana-2484	371	30	)	)	PUNCT
cana-2484	371	31	two	two	NUM
cana-2484	371	32	-	-	PUNCT
cana-2484	371	33	stage	stage	NOUN
cana-2484	371	34	framework	framework	NOUN
cana-2484	371	35	for	for	ADP
cana-2484	371	36	optic	optic	ADJ
cana-2484	371	37	disc	disc	NOUN
cana-2484	371	38	localization	localization	NOUN
cana-2484	371	39	and	and	CCONJ
cana-2484	371	40	glaucoma	glaucoma	NOUN
cana-2484	371	41	classification	classification	NOUN
cana-2484	371	42	in	in	ADP
cana-2484	371	43	retinal	retinal	ADJ
cana-2484	371	44	fundus	fundus	NOUN
cana-2484	371	45	images	image	NOUN
cana-2484	371	46	using	use	VERB
cana-2484	371	47	deep	deep	ADJ
cana-2484	371	48	learning[j	learning[j	NOUN
cana-2484	371	49	]	]	PUNCT
cana-2484	371	50	.	.	PUNCT
cana-2484	372	1	bmc	bmc	PROPN
cana-2484	372	2	med	med	ADJ
cana-2484	372	3	inform	inform	NOUN
cana-2484	372	4	decis	decis	PROPN
cana-2484	372	5	mak	mak	PROPN
cana-2484	372	6	19(1):1–16	19(1):1–16	NUM
cana-2484	372	7	[	[	X
cana-2484	372	8	10	10	NUM
cana-2484	372	9	]	]	X
cana-2484	372	10	cerentini	cerentini	NOUN
cana-2484	372	11	a	a	NOUN
cana-2484	372	12	,	,	PUNCT
cana-2484	372	13	welfer	welfer	NOUN
cana-2484	372	14	d	d	NOUN
cana-2484	372	15	,	,	PUNCT
cana-2484	372	16	d’ornellas	d’ornellas	PRON
cana-2484	372	17	mc	mc	PROPN
cana-2484	372	18	,	,	PUNCT
cana-2484	372	19	haygert	haygert	PROPN
cana-2484	372	20	cjp	cjp	PROPN
cana-2484	372	21	,	,	PUNCT
cana-2484	372	22	dotto	dotto	PROPN
cana-2484	372	23	gn	gn	PROPN
cana-2484	372	24	(	(	PUNCT
cana-2484	372	25	2018	2018	NUM
cana-2484	372	26	)	)	PUNCT
cana-2484	372	27	automatic	automatic	ADJ
cana-2484	372	28	identification	identification	NOUN
cana-2484	372	29	of	of	ADP
cana-2484	372	30	glaucoma	glaucoma	NOUN
cana-2484	372	31	using	use	VERB
cana-2484	372	32	deep	deep	ADJ
cana-2484	372	33	learning	learn	VERB
cana-2484	372	34	methods[j	methods[j	PROPN
cana-2484	372	35	]	]	PUNCT
cana-2484	372	36	.	.	PUNCT
cana-2484	373	1	proc	proc	NOUN
cana-2484	373	2	.	.	PUNCT
cana-2484	374	1	16th	16th	ADJ
cana-2484	374	2	world	world	NOUN
cana-2484	374	3	congr	congr	NOUN
cana-2484	374	4	med	med	PROPN
cana-2484	374	5	health	health	PROPN
cana-2484	374	6	inf	inf	PROPN
cana-2484	374	7	precis	precis	PROPN
cana-2484	374	8	healthc	healthc	PROPN
cana-2484	374	9	inf	inf	PROPN
cana-2484	374	10	(	(	PUNCT
cana-2484	374	11	medinfo	medinfo	PROPN
cana-2484	374	12	)	)	PUNCT
cana-2484	374	13	245:318	245:318	X
cana-2484	374	14	.	.	PUNCT
cana-2484	375	1	[	[	X
cana-2484	375	2	11	11	NUM
cana-2484	375	3	]	]	PUNCT
cana-2484	375	4	chai	chai	NOUN
cana-2484	375	5	y	y	PROPN
cana-2484	375	6	,	,	PUNCT
cana-2484	375	7	liu	liu	PROPN
cana-2484	375	8	h	h	PROPN
cana-2484	375	9	,	,	PUNCT
cana-2484	375	10	xu	xu	PROPN
cana-2484	375	11	j	j	PROPN
cana-2484	375	12	(	(	PUNCT
cana-2484	375	13	2018	2018	NUM
cana-2484	375	14	)	)	PUNCT
cana-2484	375	15	glaucoma	glaucoma	NOUN
cana-2484	375	16	diagnosis	diagnosis	NOUN
cana-2484	375	17	based	base	VERB
cana-2484	375	18	on	on	ADP
cana-2484	375	19	both	both	PRON
cana-2484	375	20	hidden	hidden	ADJ
cana-2484	375	21	features	feature	NOUN
cana-2484	375	22	and	and	CCONJ
cana-2484	375	23	domain	domain	NOUN
cana-2484	375	24	knowledge	knowledge	NOUN
cana-2484	375	25	through	through	ADP
cana-2484	375	26	deep	deep	ADJ
cana-2484	375	27	learning	learn	VERB
cana-2484	375	28	models[j	models[j	PROPN
cana-2484	375	29	]	]	PUNCT
cana-2484	375	30	.	.	PUNCT
cana-2484	375	31	knowl	knowl	NOUN
cana-2484	375	32	-	-	PUNCT
cana-2484	375	33	based	base	VERB
cana-2484	375	34	syst	syst	NOUN
cana-2484	375	35	161:147–156	161:147–156	NUM
cana-2484	375	36	[	[	X
cana-2484	375	37	12	12	NUM
cana-2484	375	38	]	]	X
cana-2484	375	39	meier	meier	PROPN
cana-2484	375	40	j	j	PROPN
cana-2484	375	41	,	,	PUNCT
cana-2484	375	42	bock	bock	NOUN
cana-2484	375	43	r	r	PROPN
cana-2484	375	44	,	,	PUNCT
cana-2484	375	45	michelson	michelson	PROPN
cana-2484	375	46	g	g	PROPN
cana-2484	375	47	,	,	PUNCT
cana-2484	375	48	nyúl	nyúl	ADJ
cana-2484	375	49	lg	lg	NOUN
cana-2484	375	50	,	,	PUNCT
cana-2484	375	51	hornegger	hornegger	NOUN
cana-2484	375	52	j	j	PROPN
cana-2484	375	53	(	(	PUNCT
cana-2484	375	54	2007	2007	NUM
cana-2484	375	55	)	)	PUNCT
cana-2484	375	56	effects	effect	NOUN
cana-2484	375	57	of	of	ADP
cana-2484	375	58	preprocessing	preprocesse	VERB
cana-2484	375	59	eye	eye	NOUN
cana-2484	375	60	fundus	fundus	NOUN
cana-2484	375	61	images	image	NOUN
cana-2484	375	62	on	on	ADP
cana-2484	375	63	appearance	appearance	NOUN
cana-2484	375	64	based	base	VERB
cana-2484	375	65	glaucoma	glaucoma	PROPN
cana-2484	375	66	classification[c]//international	classification[c]//international	PROPN
cana-2484	375	67	conference	conference	NOUN
cana-2484	375	68	on	on	ADP
cana-2484	375	69	computer	computer	NOUN
cana-2484	375	70	analysis	analysis	NOUN
cana-2484	375	71	of	of	ADP
cana-2484	375	72	images	image	NOUN
cana-2484	375	73	and	and	CCONJ
cana-2484	375	74	patterns	pattern	NOUN
cana-2484	375	75	.	.	PUNCT
cana-2484	376	1	springer	springer	NOUN
cana-2484	376	2	,	,	PUNCT
cana-2484	376	3	berlin	berlin	PROPN
cana-2484	376	4	,	,	PUNCT
cana-2484	376	5	heidelberg	heidelberg	PROPN
cana-2484	376	6	,	,	PUNCT
cana-2484	376	7	pp	pp	ADP
cana-2484	376	8	165–172	165–172	NUM
cana-2484	376	9	[	[	X
cana-2484	376	10	13	13	NUM
cana-2484	376	11	]	]	SYM
cana-2484	376	12	li	li	PROPN
cana-2484	376	13	h	h	PROPN
cana-2484	376	14	,	,	PUNCT
cana-2484	376	15	zeng	zeng	PROPN
cana-2484	376	16	n	n	SYM
cana-2484	376	17	,	,	PUNCT
cana-2484	376	18	wu	wu	PROPN
cana-2484	376	19	p	p	PROPN
cana-2484	376	20	,	,	PUNCT
cana-2484	376	21	clawson	clawson	PROPN
cana-2484	376	22	k	k	PROPN
cana-2484	376	23	(	(	PUNCT
cana-2484	376	24	2022	2022	NUM
cana-2484	376	25	)	)	PUNCT
cana-2484	376	26	cov	cov	NOUN
cana-2484	376	27	-	-	PUNCT
cana-2484	376	28	net	net	NOUN
cana-2484	376	29	:	:	PUNCT
cana-2484	376	30	a	a	DET
cana-2484	376	31	computer	computer	NOUN
cana-2484	376	32	-	-	PUNCT
cana-2484	376	33	aided	aid	VERB
cana-2484	376	34	diagnosis	diagnosis	NOUN
cana-2484	376	35	method	method	NOUN
cana-2484	376	36	for	for	ADP
cana-2484	376	37	recognizing	recognize	VERB
cana-2484	376	38	covid-19	covid-19	PROPN
cana-2484	376	39	from	from	ADP
cana-2484	376	40	chest	chest	NOUN
cana-2484	376	41	x	x	NOUN
cana-2484	376	42	-	-	NOUN
cana-2484	376	43	ray	ray	NOUN
cana-2484	376	44	images	image	NOUN
cana-2484	376	45	via	via	ADP
cana-2484	376	46	machine	machine	NOUN
cana-2484	376	47	vision	vision	NOUN
cana-2484	376	48	.	.	PUNCT
cana-2484	377	1	expert	expert	NOUN
cana-2484	377	2	syst	syst	PROPN
cana-2484	377	3	appl	appl	PROPN
cana-2484	377	4	207:118029	207:118029	PROPN
cana-2484	377	5	[	[	X
cana-2484	377	6	14	14	NUM
cana-2484	377	7	]	]	X
cana-2484	377	8	yi	yi	PROPN
cana-2484	377	9	s	s	PROPN
cana-2484	377	10	,	,	PUNCT
cana-2484	377	11	wei	wei	PROPN
cana-2484	377	12	y	y	PROPN
cana-2484	377	13	,	,	PUNCT
cana-2484	377	14	luo	luo	PROPN
cana-2484	377	15	x	x	X
cana-2484	377	16	et	et	PROPN
cana-2484	377	17	al	al	PROPN
cana-2484	377	18	(	(	PUNCT
cana-2484	377	19	2022	2022	NUM
cana-2484	377	20	)	)	PUNCT
cana-2484	377	21	diagnosis	diagnosis	NOUN
cana-2484	377	22	of	of	ADP
cana-2484	377	23	rectal	rectal	ADJ
cana-2484	377	24	cancer	cancer	NOUN
cana-2484	377	25	based	base	VERB
cana-2484	377	26	on	on	ADP
cana-2484	377	27	the	the	DET
cana-2484	377	28	xception	xception	NOUN
cana-2484	377	29	-	-	PUNCT
cana-2484	377	30	ms	ms	NOUN
cana-2484	377	31	network[j	network[j	PROPN
cana-2484	377	32	]	]	PUNCT
cana-2484	377	33	.	.	PUNCT
cana-2484	378	1	phys	phy	NOUN
cana-2484	378	2	med	me	VERB
cana-2484	378	3	biol	biol	NOUN
cana-2484	378	4	67(19):195002	67(19):195002	NUM
cana-2484	379	1	[	[	X
cana-2484	379	2	15	15	NUM
cana-2484	379	3	]	]	X
cana-2484	379	4	wang	wang	PROPN
cana-2484	379	5	r	r	PROPN
cana-2484	379	6	,	,	PUNCT
cana-2484	379	7	liu	liu	PROPN
cana-2484	379	8	xp	xp	INTJ
cana-2484	379	9	et	et	PROPN
cana-2484	379	10	al	al	PROPN
cana-2484	379	11	(	(	PUNCT
cana-2484	379	12	2023	2023	NUM
cana-2484	379	13	)	)	PUNCT
cana-2484	379	14	ada	ada	PROPN
cana-2484	379	15	-	-	NOUN
cana-2484	379	16	ccfnet	ccfnet	NOUN
cana-2484	379	17	:	:	PUNCT
cana-2484	379	18	classification	classification	NOUN
cana-2484	379	19	of	of	ADP
cana-2484	379	20	multimodal	multimodal	NOUN
cana-2484	379	21	direct	direct	ADJ
cana-2484	379	22	immunofluorescence	immunofluorescence	NOUN
cana-2484	379	23	images	image	NOUN
cana-2484	379	24	for	for	ADP
cana-2484	379	25	membranous	membranous	ADJ
cana-2484	379	26	nephropathy	nephropathy	NOUN
cana-2484	379	27	via	via	ADP
cana-2484	379	28	adaptive	adaptive	ADJ
cana-2484	379	29	weighted	weight	VERB
cana-2484	379	30	confidence	confidence	NOUN
cana-2484	379	31	calibration	calibration	NOUN
cana-2484	379	32	fusion	fusion	NOUN
cana-2484	379	33	network	network	NOUN
cana-2484	379	34	.	.	PUNCT
cana-2484	380	1	eng	eng	PROPN
cana-2484	380	2	appl	appl	PROPN
cana-2484	380	3	artif	artif	PROPN
cana-2484	380	4	intell	intell	VERB
cana-2484	380	5	part	part	NOUN
cana-2484	380	6	b	b	PROPN
cana-2484	380	7	117:105637	117:105637	NUM
cana-2484	381	1	[	[	X
cana-2484	381	2	16	16	NUM
cana-2484	381	3	]	]	PUNCT
cana-2484	381	4	he	he	PRON
cana-2484	381	5	a	a	PROPN
cana-2484	381	6	,	,	PUNCT
cana-2484	381	7	li	li	PROPN
cana-2484	381	8	t	t	PROPN
cana-2484	381	9	,	,	PUNCT
cana-2484	381	10	li	li	PROPN
cana-2484	381	11	n	n	PROPN
cana-2484	381	12	,	,	PUNCT
cana-2484	381	13	wang	wang	PROPN
cana-2484	381	14	k	k	PROPN
cana-2484	381	15	,	,	PUNCT
cana-2484	381	16	fu	fu	ADJ
cana-2484	381	17	h	h	NOUN
cana-2484	381	18	(	(	PUNCT
cana-2484	381	19	2021	2021	NUM
cana-2484	381	20	)	)	PUNCT
cana-2484	381	21	cabnet	cabnet	NOUN
cana-2484	381	22	:	:	PUNCT
cana-2484	381	23	category	category	NOUN
cana-2484	381	24	attention	attention	NOUN
cana-2484	381	25	block	block	NOUN
cana-2484	381	26	for	for	ADP
cana-2484	381	27	imbalanced	imbalanced	ADJ
cana-2484	381	28	diabetic	diabetic	ADJ
cana-2484	381	29	retinopathy	retinopathy	ADJ
cana-2484	381	30	grading	grade	VERB
cana-2484	381	31	.	.	PUNCT
cana-2484	382	1	ieee	ieee	PROPN
cana-2484	382	2	trans	trans	PROPN
cana-2484	382	3	med	med	PROPN
cana-2484	382	4	imag	imag	PROPN
cana-2484	382	5	40(1):143–153	40(1):143–153	PROPN
cana-2484	383	1	[	[	X
cana-2484	383	2	17	17	NUM
cana-2484	383	3	]	]	PUNCT
cana-2484	383	4	changhong	changhong	NOUN
cana-2484	383	5	xu	xu	PROPN
cana-2484	383	6	,	,	PUNCT
cana-2484	383	7	gao	gao	PROPN
cana-2484	383	8	m	m	VERB
cana-2484	383	9	et	et	PROPN
cana-2484	383	10	al	al	PROPN
cana-2484	383	11	(	(	PUNCT
cana-2484	383	12	2023	2023	NUM
cana-2484	383	13	)	)	PUNCT
cana-2484	383	14	mp	mp	NOUN
cana-2484	383	15	-	-	PUNCT
cana-2484	383	16	net	net	NOUN
cana-2484	383	17	:	:	PUNCT
cana-2484	383	18	an	an	DET
cana-2484	383	19	efficient	efficient	ADJ
cana-2484	383	20	and	and	CCONJ
cana-2484	383	21	precise	precise	ADJ
cana-2484	383	22	multi	multi	ADJ
cana-2484	383	23	-	-	ADJ
cana-2484	383	24	layer	layer	ADJ
cana-2484	383	25	pyramid	pyramid	NOUN
cana-2484	383	26	crop	crop	NOUN
cana-2484	383	27	classification	classification	NOUN
cana-2484	383	28	network	network	NOUN
cana-2484	383	29	for	for	ADP
cana-2484	383	30	remote	remote	ADJ
cana-2484	383	31	sensing	sensing	NOUN
cana-2484	383	32	images	image	NOUN
cana-2484	383	33	.	.	PUNCT
cana-2484	384	1	comput	comput	PROPN
cana-2484	384	2	electron	electron	PROPN
cana-2484	384	3	agric	agric	PROPN
cana-2484	384	4	212:108065	212:108065	PROPN
cana-2484	385	1	[	[	X
cana-2484	385	2	18	18	NUM
cana-2484	385	3	]	]	X
cana-2484	385	4	shinde	shinde	NOUN
cana-2484	385	5	r	r	NOUN
cana-2484	385	6	(	(	PUNCT
cana-2484	385	7	2021	2021	NUM
cana-2484	385	8	)	)	PUNCT
cana-2484	385	9	glaucoma	glaucoma	NOUN
cana-2484	385	10	detection	detection	NOUN
cana-2484	385	11	in	in	ADP
cana-2484	385	12	retinal	retinal	ADJ
cana-2484	385	13	fundus	fundus	NOUN
cana-2484	385	14	images	image	NOUN
cana-2484	385	15	using	use	VERB
cana-2484	385	16	u	u	NOUN
cana-2484	385	17	-	-	NOUN
cana-2484	385	18	net	net	ADJ
cana-2484	385	19	and	and	CCONJ
cana-2484	385	20	supervised	supervised	ADJ
cana-2484	385	21	machine	machine	NOUN
cana-2484	385	22	learning	learn	VERB
cana-2484	385	23	algorithms[j	algorithms[j	PROPN
cana-2484	385	24	]	]	PUNCT
cana-2484	385	25	.	.	PUNCT
cana-2484	386	1	intell	intell	PROPN
cana-2484	386	2	-	-	PUNCT
cana-2484	386	3	based	base	VERB
cana-2484	386	4	med	med	PROPN
cana-2484	386	5	5:100038	5:100038	NUM
cana-2484	386	6	[	[	X
cana-2484	386	7	19	19	NUM
cana-2484	386	8	]	]	ADJ
cana-2484	386	9	ronneberger	ronneberger	NOUN
cana-2484	386	10	o	o	NOUN
cana-2484	386	11	,	,	PUNCT
cana-2484	386	12	fischer	fischer	PROPN
cana-2484	386	13	p	p	PROPN
cana-2484	386	14	,	,	PUNCT
cana-2484	386	15	brox	brox	PROPN
cana-2484	386	16	t	t	PROPN
cana-2484	386	17	(	(	PUNCT
cana-2484	386	18	2015	2015	NUM
cana-2484	386	19	)	)	PUNCT
cana-2484	386	20	u	u	NOUN
cana-2484	386	21	-	-	NOUN
cana-2484	386	22	net	net	ADJ
cana-2484	386	23	:	:	PUNCT
cana-2484	386	24	convolutional	convolutional	ADJ
cana-2484	386	25	networks	network	NOUN
cana-2484	386	26	for	for	ADP
cana-2484	386	27	biomedical	biomedical	ADJ
cana-2484	386	28	image	image	NOUN
cana-2484	386	29	segmentation	segmentation	NOUN
cana-2484	386	30	.	.	PUNCT
cana-2484	387	1	in	in	ADP
cana-2484	387	2	:	:	PUNCT
cana-2484	387	3	international	international	ADJ
cana-2484	387	4	conference	conference	NOUN
cana-2484	387	5	on	on	ADP
cana-2484	387	6	medical	medical	ADJ
cana-2484	387	7	image	image	NOUN
cana-2484	387	8	computing	computing	NOUN
cana-2484	387	9	and	and	CCONJ
cana-2484	387	10	computer	computer	NOUN
cana-2484	387	11	-	-	PUNCT
cana-2484	387	12	assisted	assist	VERB
cana-2484	387	13	intervention	intervention	NOUN
cana-2484	387	14	,	,	PUNCT
cana-2484	387	15	pp	pp	PROPN
cana-2484	387	16	234–241	234–241	NUM
cana-2484	387	17	[	[	X
cana-2484	387	18	20	20	NUM
cana-2484	387	19	]	]	X
cana-2484	387	20	yi	yi	PROPN
cana-2484	387	21	sl	sl	PROPN
cana-2484	387	22	,	,	PUNCT
cana-2484	387	23	yang	yang	PROPN
cana-2484	387	24	xl	xl	PROPN
cana-2484	387	25	,	,	PUNCT
cana-2484	387	26	wang	wang	PROPN
cana-2484	387	27	tw	tw	PROPN
cana-2484	387	28	,	,	PUNCT
cana-2484	387	29	she	she	PRON
cana-2484	387	30	fr	fr	VERB
cana-2484	387	31	,	,	PUNCT
cana-2484	387	32	xiong	xiong	PROPN
cana-2484	387	33	x	x	PROPN
cana-2484	387	34	,	,	PUNCT
cana-2484	387	35	he	he	PRON
cana-2484	387	36	jf	jf	PROPN
cana-2484	387	37	(	(	PUNCT
cana-2484	387	38	2021	2021	NUM
cana-2484	387	39	)	)	PUNCT
cana-2484	387	40	diabetic	diabetic	ADJ
cana-2484	387	41	retinopathy	retinopathy	ADJ
cana-2484	387	42	diagnosis	diagnosis	NOUN
cana-2484	387	43	based	base	VERB
cana-2484	387	44	on	on	ADP
cana-2484	387	45	raefficientnet[j	raefficientnet[j	ADV
cana-2484	387	46	]	]	PUNCT
cana-2484	387	47	.	.	PUNCT
cana-2484	388	1	appl	appl	PROPN
cana-2484	388	2	sci	sci	PROPN
cana-2484	388	3	11(22):11035	11(22):11035	NUM
cana-2484	389	1	[	[	X
cana-2484	389	2	21	21	NUM
cana-2484	389	3	]	]	PUNCT
cana-2484	389	4	he	he	PRON
cana-2484	389	5	k	k	PROPN
cana-2484	389	6	,	,	PUNCT
cana-2484	389	7	zhang	zhang	PROPN
cana-2484	389	8	x	x	PROPN
cana-2484	389	9	,	,	PUNCT
cana-2484	389	10	ren	ren	PROPN
cana-2484	389	11	s	s	PROPN
cana-2484	389	12	,	,	PUNCT
cana-2484	389	13	sun	sun	PROPN
cana-2484	389	14	j	j	PROPN
cana-2484	389	15	(	(	PUNCT
cana-2484	389	16	2016	2016	NUM
cana-2484	389	17	)	)	PUNCT
cana-2484	389	18	deep	deep	ADJ
cana-2484	389	19	residual	residual	ADJ
cana-2484	389	20	learning	learning	NOUN
cana-2484	389	21	for	for	ADP
cana-2484	389	22	image	image	NOUN
cana-2484	389	23	recognition	recognition	NOUN
cana-2484	389	24	[	[	X
cana-2484	389	25	c]//	c]//	ADJ
cana-2484	389	26	proceedings	proceeding	NOUN
cana-2484	389	27	of	of	ADP
cana-2484	389	28	the	the	DET
cana-2484	389	29	ieee	ieee	NOUN
cana-2484	389	30	conference	conference	NOUN
cana-2484	389	31	on	on	ADP
cana-2484	389	32	computer	computer	NOUN
cana-2484	389	33	vision	vision	NOUN
cana-2484	389	34	and	and	CCONJ
cana-2484	389	35	pattern	pattern	NOUN
cana-2484	389	36	recognition	recognition	NOUN
cana-2484	389	37	,	,	PUNCT
cana-2484	389	38	pp	pp	PROPN
cana-2484	389	39	770–778	770–778	NUM
cana-2484	390	1	[	[	X
cana-2484	390	2	22	22	NUM
cana-2484	390	3	]	]	PUNCT
cana-2484	390	4	cao	cao	PROPN
cana-2484	390	5	y	y	PROPN
cana-2484	390	6	,	,	PUNCT
cana-2484	390	7	xu	xu	PROPN
cana-2484	390	8	j	j	PROPN
cana-2484	390	9	,	,	PUNCT
cana-2484	390	10	lin	lin	PROPN
cana-2484	390	11	s	s	PROPN
cana-2484	390	12	,	,	PUNCT
cana-2484	390	13	wei	wei	PROPN
cana-2484	390	14	f	f	PROPN
cana-2484	390	15	,	,	PUNCT
cana-2484	390	16	hu	hu	PROPN
cana-2484	390	17	h	h	PROPN
cana-2484	390	18	(	(	PUNCT
cana-2484	390	19	2019	2019	NUM
cana-2484	390	20	)	)	PUNCT
cana-2484	390	21	gcnet	gcnet	NOUN
cana-2484	390	22	:	:	PUNCT
cana-2484	390	23	non	non	ADJ
cana-2484	390	24	-	-	ADJ
cana-2484	390	25	local	local	ADJ
cana-2484	390	26	networks	network	NOUN
cana-2484	390	27	meet	meet	VERB
cana-2484	390	28	squeeze	squeeze	NOUN
cana-2484	390	29	-	-	PUNCT
cana-2484	390	30	excitation	excitation	NOUN
cana-2484	390	31	networks	network	NOUN
cana-2484	390	32	and	and	CCONJ
cana-2484	390	33	beyond	beyond	ADP
cana-2484	390	34	.	.	PUNCT
cana-2484	391	1	in	in	ADP
cana-2484	391	2	:	:	PUNCT
cana-2484	391	3	proceedings	proceeding	NOUN
cana-2484	391	4	of	of	ADP
cana-2484	391	5	the	the	DET
cana-2484	391	6	ieee	ieee	NOUN
cana-2484	391	7	/	/	SYM
cana-2484	391	8	cvf	cvf	NOUN
cana-2484	391	9	international	international	ADJ
cana-2484	391	10	conference	conference	NOUN
cana-2484	391	11	on	on	ADP
cana-2484	391	12	computer	computer	NOUN
cana-2484	391	13	vision	vision	NOUN
cana-2484	391	14	workshops	workshop	NOUN
cana-2484	391	15	,	,	PUNCT
cana-2484	391	16	seoul	seoul	PROPN
cana-2484	391	17	,	,	PUNCT
cana-2484	391	18	korea	korea	PROPN
cana-2484	391	19	,	,	PUNCT
cana-2484	391	20	pp	pp	ADV
cana-2484	391	21	27–28	27–28	NUM
cana-2484	392	1	[	[	X
cana-2484	392	2	23	23	NUM
cana-2484	392	3	]	]	PUNCT
cana-2484	392	4	staal	staal	PROPN
cana-2484	392	5	j	j	PROPN
cana-2484	392	6	,	,	PUNCT
cana-2484	392	7	abràmoff	abràmoff	PROPN
cana-2484	392	8	md	md	PROPN
cana-2484	392	9	,	,	PUNCT
cana-2484	392	10	niemeijer	niemeijer	PROPN
cana-2484	392	11	m	m	PROPN
cana-2484	392	12	,	,	PUNCT
cana-2484	392	13	viergever	viergever	PROPN
cana-2484	392	14	ma	ma	PROPN
cana-2484	392	15	,	,	PUNCT
cana-2484	392	16	van	van	PROPN
cana-2484	392	17	ginneken	ginneken	PROPN
cana-2484	392	18	b	b	PROPN
cana-2484	392	19	(	(	PUNCT
cana-2484	392	20	2004	2004	NUM
cana-2484	392	21	)	)	PUNCT
cana-2484	392	22	ridge	ridge	NOUN
cana-2484	392	23	-	-	PUNCT
cana-2484	392	24	based	base	VERB
cana-2484	392	25	vessel	vessel	NOUN
cana-2484	392	26	segmentation	segmentation	NOUN
cana-2484	392	27	in	in	ADP
cana-2484	392	28	color	color	NOUN
cana-2484	392	29	images	image	NOUN
cana-2484	392	30	of	of	ADP
cana-2484	392	31	the	the	DET
cana-2484	392	32	retina[j	retina[j	NOUN
cana-2484	392	33	]	]	PUNCT
cana-2484	392	34	.	.	PUNCT
cana-2484	393	1	ieee	ieee	PROPN
cana-2484	393	2	trans	trans	PROPN
cana-2484	393	3	med	med	PROPN
cana-2484	393	4	imaging	image	VERB
cana-2484	393	5	23(4):501–509	23(4):501–509	PROPN
cana-2484	394	1	[	[	X
cana-2484	394	2	24	24	NUM
cana-2484	394	3	]	]	X
cana-2484	394	4	diaz	diaz	PROPN
cana-2484	394	5	-	-	PUNCT
cana-2484	394	6	pinto	pinto	NOUN
cana-2484	394	7	a	a	NOUN
cana-2484	394	8	,	,	PUNCT
cana-2484	394	9	morales	morales	PROPN
cana-2484	394	10	s	s	PART
cana-2484	394	11	,	,	PUNCT
cana-2484	394	12	naranjo	naranjo	PROPN
cana-2484	394	13	v	v	PROPN
cana-2484	394	14	,	,	PUNCT
cana-2484	394	15	köhler	köhler	PROPN
cana-2484	394	16	t	t	PROPN
cana-2484	394	17	,	,	PUNCT
cana-2484	394	18	mossi	mossi	PROPN
cana-2484	394	19	jm	jm	PROPN
cana-2484	394	20	,	,	PUNCT
cana-2484	394	21	navea	navea	X
cana-2484	394	22	a	a	DET
cana-2484	394	23	(	(	PUNCT
cana-2484	394	24	2019	2019	NUM
cana-2484	394	25	)	)	PUNCT
cana-2484	394	26	cnns	cnn	NOUN
cana-2484	394	27	for	for	ADP
cana-2484	394	28	automatic	automatic	ADJ
cana-2484	394	29	glaucoma	glaucoma	NOUN
cana-2484	394	30	assessment	assessment	NOUN
cana-2484	394	31	using	use	VERB
cana-2484	394	32	fundus	fundus	NOUN
cana-2484	394	33	images	image	NOUN
cana-2484	394	34	:	:	PUNCT
cana-2484	394	35	an	an	DET
cana-2484	394	36	extensive	extensive	ADJ
cana-2484	394	37	validation[j	validation[j	NOUN
cana-2484	394	38	]	]	PUNCT
cana-2484	394	39	.	.	PUNCT
cana-2484	394	40	biomed	biome	VERB
cana-2484	394	41	eng	eng	PROPN
cana-2484	394	42	online	online	PROPN
cana-2484	394	43	18(1):1–19	18(1):1–19	PROPN
cana-2484	395	1	[	[	X
cana-2484	395	2	25	25	NUM
cana-2484	395	3	]	]	PUNCT
cana-2484	395	4	fumero	fumero	NOUN
cana-2484	395	5	f	f	PROPN
cana-2484	395	6	,	,	PUNCT
cana-2484	395	7	alayón	alayón	PROPN
cana-2484	395	8	s	s	PROPN
cana-2484	395	9	,	,	PUNCT
cana-2484	395	10	sanchez	sanchez	PROPN
cana-2484	395	11	jl	jl	PROPN
cana-2484	395	12	,	,	PUNCT
cana-2484	395	13	sigut	sigut	PROPN
cana-2484	395	14	j	j	PROPN
cana-2484	395	15	(	(	PUNCT
cana-2484	395	16	2011	2011	NUM
cana-2484	395	17	)	)	PUNCT
cana-2484	395	18	rim	rim	NOUN
cana-2484	395	19	-	-	PUNCT
cana-2484	395	20	one	one	NUM
cana-2484	395	21	:	:	PUNCT
cana-2484	395	22	an	an	DET
cana-2484	395	23	open	open	ADJ
cana-2484	395	24	retinal	retinal	ADJ
cana-2484	395	25	image	image	NOUN
cana-2484	395	26	database	database	NOUN
cana-2484	395	27	for	for	ADP
cana-2484	395	28	optic	optic	ADJ
cana-2484	395	29	nerve	nerve	NOUN
cana-2484	395	30	evaluation[c]//2011	evaluation[c]//2011	PROPN
cana-2484	395	31	24th	24th	ADJ
cana-2484	395	32	international	international	ADJ
cana-2484	395	33	symposium	symposium	NOUN
cana-2484	395	34	on	on	ADP
cana-2484	395	35	computer	computer	NOUN
cana-2484	395	36	-	-	PUNCT
cana-2484	395	37	based	base	VERB
cana-2484	395	38	medical	medical	ADJ
cana-2484	395	39	systems	system	NOUN
cana-2484	395	40	(	(	PUNCT
cana-2484	395	41	cbms	cbms	PROPN
cana-2484	395	42	)	)	PUNCT
cana-2484	395	43	.	.	PUNCT
cana-2484	396	1	ieee	ieee	PROPN
cana-2484	396	2	,	,	PUNCT
cana-2484	396	3	pp	pp	ADV
cana-2484	396	4	1–6	1–6	NUM
cana-2484	396	5	[	[	X
cana-2484	396	6	26	26	NUM
cana-2484	396	7	]	]	PUNCT
cana-2484	396	8	sivaswamy	sivaswamy	PROPN
cana-2484	396	9	j	j	PROPN
cana-2484	396	10	,	,	PUNCT
cana-2484	396	11	krishnadas	krishnada	VERB
cana-2484	396	12	sr	sr	PROPN
cana-2484	396	13	,	,	PUNCT
cana-2484	396	14	joshi	joshi	PROPN
cana-2484	396	15	gd	gd	PROPN
cana-2484	396	16	,	,	PUNCT
cana-2484	396	17	jain	jain	PROPN
cana-2484	396	18	m	m	PROPN
cana-2484	396	19	,	,	PUNCT
cana-2484	396	20	tabish	tabish	X
cana-2484	396	21	au	au	X
cana-2484	396	22	(	(	PUNCT
cana-2484	396	23	2014	2014	NUM
cana-2484	396	24	)	)	PUNCT
cana-2484	396	25	drishti	drishti	NOUN
cana-2484	396	26	-	-	PUNCT
cana-2484	396	27	gs	gs	NOUN
cana-2484	396	28	:	:	PUNCT
cana-2484	396	29	retinal	retinal	ADJ
cana-2484	396	30	image	image	NOUN
cana-2484	396	31	dataset	dataset	VERB
cana-2484	396	32	for	for	ADP
cana-2484	396	33	optic	optic	ADJ
cana-2484	396	34	nerve	nerve	NOUN
cana-2484	396	35	head	head	NOUN
cana-2484	396	36	(	(	PUNCT
cana-2484	396	37	onh	onh	PROPN
cana-2484	396	38	)	)	PUNCT
cana-2484	396	39	segmentation[c]//2014	segmentation[c]//2014	PROPN
cana-2484	396	40	ieee	ieee	NOUN
cana-2484	396	41	11th	11th	ADJ
cana-2484	396	42	international	international	ADJ
cana-2484	396	43	symposium	symposium	NOUN
cana-2484	396	44	on	on	ADP
cana-2484	396	45	biomedical	biomedical	ADJ
cana-2484	396	46	imaging	imaging	NOUN
cana-2484	396	47	(	(	PUNCT
cana-2484	396	48	isbi	isbi	NOUN
cana-2484	396	49	)	)	PUNCT
cana-2484	396	50	.	.	PUNCT
cana-2484	397	1	ieee	ieee	PROPN
cana-2484	397	2	,	,	PUNCT
cana-2484	397	3	pp	pp	ADP
cana-2484	397	4	53	53	NUM
cana-2484	397	5	–	–	PUNCT
cana-2484	397	6	56	56	NUM
cana-2484	397	7	[	[	SYM
cana-2484	397	8	27	27	NUM
cana-2484	397	9	]	]	X
cana-2484	397	10	sandler	sandler	PROPN
cana-2484	397	11	m	m	PROPN
cana-2484	397	12	,	,	PUNCT
cana-2484	397	13	howard	howard	PROPN
cana-2484	397	14	a	a	PRON
cana-2484	397	15	,	,	PUNCT
cana-2484	397	16	zhu	zhu	PROPN
cana-2484	397	17	m	m	PROPN
cana-2484	397	18	,	,	PUNCT
cana-2484	397	19	zhmoginov	zhmoginov	PROPN
cana-2484	397	20	a	a	X
cana-2484	397	21	,	,	PUNCT
cana-2484	397	22	chen	chen	PROPN
cana-2484	397	23	l	l	PROPN
cana-2484	397	24	(	(	PUNCT
cana-2484	397	25	2018	2018	NUM
cana-2484	397	26	)	)	PUNCT
cana-2484	397	27	mobilenetv2	mobilenetv2	NOUN
cana-2484	397	28	:	:	PUNCT
cana-2484	397	29	inverted	inverted	ADJ
cana-2484	397	30	residuals	residual	NOUN
cana-2484	397	31	and	and	CCONJ
cana-2484	397	32	linear	linear	ADJ
cana-2484	397	33	bottlenecks[c]//proceedings	bottlenecks[c]//proceeding	NOUN
cana-2484	397	34	of	of	ADP
cana-2484	397	35	the	the	DET
cana-2484	397	36	ieee	ieee	NOUN
cana-2484	397	37	conference	conference	NOUN
cana-2484	397	38	on	on	ADP
cana-2484	397	39	computer	computer	NOUN
cana-2484	397	40	vision	vision	NOUN
cana-2484	397	41	and	and	CCONJ
cana-2484	397	42	pattern	pattern	NOUN
cana-2484	397	43	recognition	recognition	NOUN
cana-2484	397	44	,	,	PUNCT
cana-2484	397	45	pp	pp	ADP
cana-2484	397	46	4510–4520	4510–4520	NUM
cana-2484	397	47	[	[	X
cana-2484	397	48	28	28	NUM
cana-2484	397	49	]	]	X
cana-2484	397	50	chollet	chollet	PROPN
cana-2484	397	51	f	f	PROPN
cana-2484	397	52	(	(	PUNCT
cana-2484	397	53	2017	2017	NUM
cana-2484	397	54	)	)	PUNCT
cana-2484	397	55	xception	xception	NOUN
cana-2484	397	56	:	:	PUNCT
cana-2484	397	57	deep	deep	ADJ
cana-2484	397	58	learning	learn	VERB
cana-2484	397	59	with	with	ADP
cana-2484	397	60	depthwise	depthwise	NOUN
cana-2484	397	61	separable	separable	ADJ
cana-2484	397	62	convolutions[c]//	convolutions[c]//	VERB
cana-2484	397	63	proceedings	proceeding	NOUN
cana-2484	397	64	of	of	ADP
cana-2484	397	65	the	the	DET
cana-2484	397	66	ieee	ieee	NOUN
cana-2484	397	67	conference	conference	NOUN
cana-2484	397	68	on	on	ADP
cana-2484	397	69	computer	computer	NOUN
cana-2484	397	70	vision	vision	NOUN
cana-2484	397	71	and	and	CCONJ
cana-2484	397	72	pattern	pattern	NOUN
cana-2484	397	73	recognition	recognition	NOUN
cana-2484	397	74	,	,	PUNCT
cana-2484	397	75	pp	pp	PROPN
cana-2484	397	76	1251–1258	1251–1258	NUM