id	sid	tid	token	lemma	pos
ap-8679	1	1	acta	acta	PROPN
ap-8679	1	2	polytechnica	polytechnica	PROPN
ap-8679	1	3	https://doi.org/10.14311/ap.2024.64.0001	https://doi.org/10.14311/ap.2024.64.0001	PROPN
ap-8679	1	4	acta	acta	PROPN
ap-8679	1	5	polytechnica	polytechnica	PROPN
ap-8679	1	6	64(1):1–11	64(1):1–11	NUM
ap-8679	1	7	,	,	PUNCT
ap-8679	1	8	2024	2024	NUM
ap-8679	1	9	©	©	ADP
ap-8679	1	10	2024	2024	NUM
ap-8679	1	11	the	the	DET
ap-8679	1	12	author(s	author(s	NOUN
ap-8679	1	13	)	)	PUNCT
ap-8679	1	14	.	.	PUNCT
ap-8679	2	1	licensed	license	VERB
ap-8679	2	2	under	under	ADP
ap-8679	2	3	a	a	DET
ap-8679	2	4	cc	cc	NOUN
ap-8679	2	5	-	-	PUNCT
ap-8679	2	6	by	by	ADP
ap-8679	2	7	4.0	4.0	NUM
ap-8679	2	8	licence	licence	NOUN
ap-8679	2	9	published	publish	VERB
ap-8679	2	10	by	by	ADP
ap-8679	2	11	the	the	DET
ap-8679	2	12	czech	czech	PROPN
ap-8679	2	13	technical	technical	PROPN
ap-8679	2	14	university	university	PROPN
ap-8679	2	15	in	in	ADP
ap-8679	2	16	prague	prague	PROPN
ap-8679	2	17	the	the	DET
ap-8679	2	18	classification	classification	NOUN
ap-8679	2	19	of	of	ADP
ap-8679	2	20	eye	eye	NOUN
ap-8679	2	21	diseases	disease	NOUN
ap-8679	2	22	from	from	ADP
ap-8679	2	23	fundus	fundus	NOUN
ap-8679	2	24	images	image	NOUN
ap-8679	2	25	based	base	VERB
ap-8679	2	26	on	on	ADP
ap-8679	2	27	cnn	cnn	PROPN
ap-8679	2	28	and	and	CCONJ
ap-8679	2	29	pretrained	pretraine	VERB
ap-8679	2	30	models	model	NOUN
ap-8679	2	31	samir	samir	NOUN
ap-8679	2	32	benbakretia,∗	benbakretia,∗	PROPN
ap-8679	2	33	,	,	PUNCT
ap-8679	2	34	soumia	soumia	ADJ
ap-8679	2	35	benbakretib	benbakretib	NOUN
ap-8679	2	36	,	,	PUNCT
ap-8679	2	37	umut	umut	PROPN
ap-8679	2	38	ozkayac	ozkayac	PROPN
ap-8679	2	39	a	a	DET
ap-8679	2	40	national	national	ADJ
ap-8679	2	41	high	high	ADJ
ap-8679	2	42	school	school	NOUN
ap-8679	2	43	of	of	ADP
ap-8679	2	44	telecommunications	telecommunication	NOUN
ap-8679	2	45	and	and	CCONJ
ap-8679	2	46	ict	ict	PROPN
ap-8679	2	47	(	(	PUNCT
ap-8679	2	48	ensttic	ensttic	ADJ
ap-8679	2	49	)	)	PUNCT
ap-8679	2	50	,	,	PUNCT
ap-8679	2	51	department	department	NOUN
ap-8679	2	52	of	of	ADP
ap-8679	2	53	specialty	specialty	NOUN
ap-8679	2	54	,	,	PUNCT
ap-8679	2	55	oran	oran	ADJ
ap-8679	2	56	31	31	NUM
ap-8679	2	57	000	000	NUM
ap-8679	2	58	,	,	PUNCT
ap-8679	2	59	algeria	algeria	PROPN
ap-8679	2	60	b	b	PROPN
ap-8679	2	61	university	university	PROPN
ap-8679	2	62	of	of	ADP
ap-8679	2	63	djillali	djillali	ADJ
ap-8679	2	64	liabes	liabe	NOUN
ap-8679	2	65	,	,	PUNCT
ap-8679	2	66	laboratory	laboratory	NOUN
ap-8679	2	67	of	of	ADP
ap-8679	2	68	mathematic	mathematic	PROPN
ap-8679	2	69	,	,	PUNCT
ap-8679	2	70	bp	bp	PROPN
ap-8679	2	71	89	89	NUM
ap-8679	2	72	,	,	PUNCT
ap-8679	2	73	sidi	sidi	NOUN
ap-8679	2	74	bel	bel	PROPN
ap-8679	2	75	abbes	abbes	PROPN
ap-8679	2	76	22000	22000	NUM
ap-8679	2	77	,	,	PUNCT
ap-8679	2	78	algeria	algeria	PROPN
ap-8679	2	79	c	c	PROPN
ap-8679	2	80	konya	konya	PROPN
ap-8679	2	81	technical	technical	PROPN
ap-8679	2	82	university	university	PROPN
ap-8679	2	83	,	,	PUNCT
ap-8679	2	84	engineering	engineering	NOUN
ap-8679	2	85	and	and	CCONJ
ap-8679	2	86	natural	natural	ADJ
ap-8679	2	87	science	science	NOUN
ap-8679	2	88	faculty	faculty	NOUN
ap-8679	2	89	,	,	PUNCT
ap-8679	2	90	electrical	electrical	ADJ
ap-8679	2	91	and	and	CCONJ
ap-8679	2	92	electronics	electronic	NOUN
ap-8679	2	93	engineering	engineering	NOUN
ap-8679	2	94	,	,	PUNCT
ap-8679	2	95	konya	konya	PROPN
ap-8679	2	96	,	,	PUNCT
ap-8679	2	97	turkey	turkey	NOUN
ap-8679	2	98	∗	∗	NOUN
ap-8679	2	99	corresponding	correspond	VERB
ap-8679	2	100	author	author	NOUN
ap-8679	2	101	:	:	PUNCT
ap-8679	2	102	samir.benbakreti@ensttic.dz	samir.benbakreti@ensttic.dz	PROPN
ap-8679	2	103	abstract	abstract	PROPN
ap-8679	2	104	.	.	PUNCT
ap-8679	3	1	visual	visual	ADJ
ap-8679	3	2	impairment	impairment	NOUN
ap-8679	3	3	affects	affect	VERB
ap-8679	3	4	more	more	ADJ
ap-8679	3	5	than	than	ADP
ap-8679	3	6	a	a	DET
ap-8679	3	7	billion	billion	NUM
ap-8679	3	8	people	people	NOUN
ap-8679	3	9	worldwide	worldwide	ADV
ap-8679	3	10	due	due	ADP
ap-8679	3	11	to	to	ADP
ap-8679	3	12	insufficient	insufficient	ADJ
ap-8679	3	13	care	care	NOUN
ap-8679	3	14	or	or	CCONJ
ap-8679	3	15	inadequate	inadequate	ADJ
ap-8679	3	16	vision	vision	NOUN
ap-8679	3	17	screening	screening	NOUN
ap-8679	3	18	.	.	PUNCT
ap-8679	4	1	computer	computer	NOUN
ap-8679	4	2	-	-	PUNCT
ap-8679	4	3	aided	aid	VERB
ap-8679	4	4	diagnosis	diagnosis	NOUN
ap-8679	4	5	using	use	VERB
ap-8679	4	6	deep	deep	ADJ
ap-8679	4	7	neural	neural	ADJ
ap-8679	4	8	networks	network	NOUN
ap-8679	4	9	is	be	AUX
ap-8679	4	10	a	a	DET
ap-8679	4	11	promising	promising	ADJ
ap-8679	4	12	approach	approach	NOUN
ap-8679	4	13	,	,	PUNCT
ap-8679	4	14	it	it	PRON
ap-8679	4	15	can	can	AUX
ap-8679	4	16	analyse	analyse	VERB
ap-8679	4	17	and	and	CCONJ
ap-8679	4	18	process	process	VERB
ap-8679	4	19	retinal	retinal	ADJ
ap-8679	4	20	fundus	fundus	NOUN
ap-8679	4	21	images	image	NOUN
ap-8679	4	22	,	,	PUNCT
ap-8679	4	23	providing	provide	VERB
ap-8679	4	24	valuable	valuable	ADJ
ap-8679	4	25	reference	reference	NOUN
ap-8679	4	26	data	datum	NOUN
ap-8679	4	27	for	for	ADP
ap-8679	4	28	doctors	doctor	NOUN
ap-8679	4	29	in	in	ADP
ap-8679	4	30	clinical	clinical	ADJ
ap-8679	4	31	diagnosis	diagnosis	NOUN
ap-8679	4	32	or	or	CCONJ
ap-8679	4	33	screening	screening	NOUN
ap-8679	4	34	.	.	PUNCT
ap-8679	5	1	this	this	DET
ap-8679	5	2	study	study	NOUN
ap-8679	5	3	aims	aim	VERB
ap-8679	5	4	to	to	PART
ap-8679	5	5	achieve	achieve	VERB
ap-8679	5	6	an	an	DET
ap-8679	5	7	accurate	accurate	ADJ
ap-8679	5	8	classification	classification	NOUN
ap-8679	5	9	of	of	ADP
ap-8679	5	10	fundus	fundus	NOUN
ap-8679	5	11	images	image	NOUN
ap-8679	5	12	,	,	PUNCT
ap-8679	5	13	including	include	VERB
ap-8679	5	14	images	image	NOUN
ap-8679	5	15	of	of	ADP
ap-8679	5	16	healthy	healthy	ADJ
ap-8679	5	17	patients	patient	NOUN
ap-8679	5	18	as	as	ADV
ap-8679	5	19	well	well	ADV
ap-8679	5	20	as	as	ADP
ap-8679	5	21	those	those	PRON
ap-8679	5	22	with	with	ADP
ap-8679	5	23	diabetic	diabetic	ADJ
ap-8679	5	24	retinopathy	retinopathy	ADJ
ap-8679	5	25	,	,	PUNCT
ap-8679	5	26	cataracts	cataract	NOUN
ap-8679	5	27	,	,	PUNCT
ap-8679	5	28	and	and	CCONJ
ap-8679	5	29	glaucoma	glaucoma	NOUN
ap-8679	5	30	,	,	PUNCT
ap-8679	5	31	using	use	VERB
ap-8679	5	32	a	a	DET
ap-8679	5	33	convolutional	convolutional	ADJ
ap-8679	5	34	neural	neural	ADJ
ap-8679	5	35	network	network	NOUN
ap-8679	5	36	(	(	PUNCT
ap-8679	5	37	cnn	cnn	PROPN
ap-8679	5	38	)	)	PUNCT
ap-8679	5	39	architecture	architecture	NOUN
ap-8679	5	40	and	and	CCONJ
ap-8679	5	41	several	several	ADJ
ap-8679	5	42	pretrained	pretraine	VERB
ap-8679	5	43	models	model	NOUN
ap-8679	5	44	(	(	PUNCT
ap-8679	5	45	alexnet	alexnet	ADJ
ap-8679	5	46	,	,	PUNCT
ap-8679	5	47	googlenet	googlenet	NOUN
ap-8679	5	48	,	,	PUNCT
ap-8679	5	49	resnet18	resnet18	NOUN
ap-8679	5	50	,	,	PUNCT
ap-8679	5	51	resnet50	resnet50	NOUN
ap-8679	5	52	,	,	PUNCT
ap-8679	5	53	yolov3	yolov3	PROPN
ap-8679	5	54	,	,	PUNCT
ap-8679	5	55	and	and	CCONJ
ap-8679	5	56	vgg	vgg	NOUN
ap-8679	5	57	19	19	NUM
ap-8679	5	58	)	)	PUNCT
ap-8679	5	59	.	.	PUNCT
ap-8679	6	1	to	to	PART
ap-8679	6	2	enhance	enhance	VERB
ap-8679	6	3	the	the	DET
ap-8679	6	4	training	training	NOUN
ap-8679	6	5	process	process	NOUN
ap-8679	6	6	,	,	PUNCT
ap-8679	6	7	a	a	DET
ap-8679	6	8	mirror	mirror	NOUN
ap-8679	6	9	effect	effect	NOUN
ap-8679	6	10	technique	technique	NOUN
ap-8679	6	11	was	be	AUX
ap-8679	6	12	applied	apply	VERB
ap-8679	6	13	to	to	PART
ap-8679	6	14	augment	augment	VERB
ap-8679	6	15	the	the	DET
ap-8679	6	16	volume	volume	NOUN
ap-8679	6	17	of	of	ADP
ap-8679	6	18	data	data	PROPN
ap-8679	6	19	.	.	PUNCT
ap-8679	7	1	the	the	DET
ap-8679	7	2	experimental	experimental	ADJ
ap-8679	7	3	study	study	NOUN
ap-8679	7	4	resulted	result	VERB
ap-8679	7	5	in	in	ADP
ap-8679	7	6	very	very	ADV
ap-8679	7	7	satisfactory	satisfactory	ADJ
ap-8679	7	8	outcomes	outcome	NOUN
ap-8679	7	9	,	,	PUNCT
ap-8679	7	10	with	with	ADP
ap-8679	7	11	the	the	DET
ap-8679	7	12	googlenet	googlenet	NOUN
ap-8679	7	13	model	model	NOUN
ap-8679	7	14	paired	pair	VERB
ap-8679	7	15	with	with	ADP
ap-8679	7	16	the	the	DET
ap-8679	7	17	sgdm	sgdm	NOUN
ap-8679	7	18	optimiser	optimiser	NOUN
ap-8679	7	19	achieving	achieve	VERB
ap-8679	7	20	the	the	DET
ap-8679	7	21	highest	high	ADJ
ap-8679	7	22	accuracy	accuracy	NOUN
ap-8679	7	23	(	(	PUNCT
ap-8679	7	24	92.7	92.7	NUM
ap-8679	7	25	%	%	NOUN
ap-8679	7	26	)	)	PUNCT
ap-8679	7	27	.	.	PUNCT
ap-8679	8	1	keywords	keyword	NOUN
ap-8679	8	2	:	:	PUNCT
ap-8679	8	3	eye	eye	NOUN
ap-8679	8	4	diseases	disease	NOUN
ap-8679	8	5	classification	classification	NOUN
ap-8679	8	6	,	,	PUNCT
ap-8679	8	7	retinal	retinal	ADJ
ap-8679	8	8	fundus	fundus	NOUN
ap-8679	8	9	images	image	NOUN
ap-8679	8	10	,	,	PUNCT
ap-8679	8	11	deep	deep	ADJ
ap-8679	8	12	learning	learning	NOUN
ap-8679	8	13	,	,	PUNCT
ap-8679	8	14	pretrained	pretraine	VERB
ap-8679	8	15	models	model	NOUN
ap-8679	8	16	,	,	PUNCT
ap-8679	8	17	sgdm	sgdm	NOUN
ap-8679	8	18	.	.	PUNCT
ap-8679	9	1	1	1	X
ap-8679	9	2	.	.	X
ap-8679	9	3	introduction	introduction	NOUN
ap-8679	9	4	one	one	NUM
ap-8679	9	5	of	of	ADP
ap-8679	9	6	the	the	DET
ap-8679	9	7	most	most	ADV
ap-8679	9	8	crucial	crucial	ADJ
ap-8679	9	9	senses	sense	NOUN
ap-8679	9	10	for	for	ADP
ap-8679	9	11	humans	human	NOUN
ap-8679	9	12	is	be	AUX
ap-8679	9	13	the	the	DET
ap-8679	9	14	vision	vision	NOUN
ap-8679	9	15	,	,	PUNCT
ap-8679	9	16	which	which	PRON
ap-8679	9	17	allows	allow	VERB
ap-8679	9	18	people	people	NOUN
ap-8679	9	19	to	to	PART
ap-8679	9	20	comprehend	comprehend	VERB
ap-8679	9	21	their	their	PRON
ap-8679	9	22	surroundings	surrounding	NOUN
ap-8679	9	23	and	and	CCONJ
ap-8679	9	24	communicate	communicate	VERB
ap-8679	9	25	information	information	NOUN
ap-8679	9	26	,	,	PUNCT
ap-8679	9	27	such	such	ADJ
ap-8679	9	28	as	as	ADP
ap-8679	9	29	knowledge	knowledge	NOUN
ap-8679	9	30	and	and	CCONJ
ap-8679	9	31	memories	memory	NOUN
ap-8679	9	32	.	.	PUNCT
ap-8679	10	1	the	the	DET
ap-8679	10	2	tear	tear	ADJ
ap-8679	10	3	film	film	NOUN
ap-8679	10	4	barrier	barrier	NOUN
ap-8679	10	5	,	,	PUNCT
ap-8679	10	6	corneal	corneal	ADJ
ap-8679	10	7	barrier	barrier	NOUN
ap-8679	10	8	,	,	PUNCT
ap-8679	10	9	conjunctival	conjunctival	NOUN
ap-8679	10	10	barrier	barrier	NOUN
ap-8679	10	11	,	,	PUNCT
ap-8679	10	12	sclera	sclera	NOUN
ap-8679	10	13	barrier	barrier	NOUN
ap-8679	10	14	,	,	PUNCT
ap-8679	10	15	and	and	CCONJ
ap-8679	10	16	blood	blood	NOUN
ap-8679	10	17	-	-	PUNCT
ap-8679	10	18	ocular	ocular	ADJ
ap-8679	10	19	barriers	barrier	NOUN
ap-8679	10	20	are	be	AUX
ap-8679	10	21	only	only	ADV
ap-8679	10	22	a	a	DET
ap-8679	10	23	few	few	ADJ
ap-8679	10	24	of	of	ADP
ap-8679	10	25	the	the	DET
ap-8679	10	26	numerous	numerous	ADJ
ap-8679	10	27	barriers	barrier	NOUN
ap-8679	10	28	that	that	PRON
ap-8679	10	29	make	make	VERB
ap-8679	10	30	up	up	ADP
ap-8679	10	31	the	the	DET
ap-8679	10	32	intricate	intricate	ADJ
ap-8679	10	33	eye	eye	NOUN
ap-8679	10	34	anatomy	anatomy	NOUN
ap-8679	10	35	[	[	X
ap-8679	10	36	1	1	NUM
ap-8679	10	37	]	]	PUNCT
ap-8679	10	38	.	.	PUNCT
ap-8679	11	1	these	these	DET
ap-8679	11	2	barriers	barrier	NOUN
ap-8679	11	3	can	can	AUX
ap-8679	11	4	shield	shield	VERB
ap-8679	11	5	the	the	DET
ap-8679	11	6	eye	eye	NOUN
ap-8679	11	7	from	from	ADP
ap-8679	11	8	foreign	foreign	ADJ
ap-8679	11	9	objects	object	NOUN
ap-8679	11	10	,	,	PUNCT
ap-8679	11	11	but	but	CCONJ
ap-8679	11	12	they	they	PRON
ap-8679	11	13	also	also	ADV
ap-8679	11	14	restrict	restrict	VERB
ap-8679	11	15	the	the	DET
ap-8679	11	16	amount	amount	NOUN
ap-8679	11	17	of	of	ADP
ap-8679	11	18	medication	medication	NOUN
ap-8679	11	19	that	that	PRON
ap-8679	11	20	can	can	AUX
ap-8679	11	21	reach	reach	VERB
ap-8679	11	22	the	the	DET
ap-8679	11	23	eye	eye	NOUN
ap-8679	11	24	.	.	PUNCT
ap-8679	12	1	more	more	ADJ
ap-8679	12	2	and	and	CCONJ
ap-8679	12	3	more	more	ADJ
ap-8679	12	4	people	people	NOUN
ap-8679	12	5	worldwide	worldwide	ADV
ap-8679	12	6	have	have	AUX
ap-8679	12	7	developed	develop	VERB
ap-8679	12	8	ocular	ocular	ADJ
ap-8679	12	9	diseases	disease	NOUN
ap-8679	12	10	in	in	ADP
ap-8679	12	11	recent	recent	ADJ
ap-8679	12	12	years	year	NOUN
ap-8679	12	13	,	,	PUNCT
ap-8679	12	14	which	which	PRON
ap-8679	12	15	can	can	AUX
ap-8679	12	16	harm	harm	VERB
ap-8679	12	17	eye	eye	NOUN
ap-8679	12	18	health	health	NOUN
ap-8679	12	19	and	and	CCONJ
ap-8679	12	20	even	even	ADV
ap-8679	12	21	result	result	VERB
ap-8679	12	22	in	in	ADP
ap-8679	12	23	blindness	blindness	NOUN
ap-8679	12	24	.	.	PUNCT
ap-8679	13	1	the	the	DET
ap-8679	13	2	world	world	PROPN
ap-8679	13	3	health	health	PROPN
ap-8679	13	4	organization	organization	NOUN
ap-8679	13	5	(	(	PUNCT
ap-8679	13	6	who	who	PRON
ap-8679	13	7	)	)	PUNCT
ap-8679	13	8	estimates	estimate	VERB
ap-8679	13	9	that	that	SCONJ
ap-8679	13	10	2.2	2.2	NUM
ap-8679	13	11	billion	billion	NUM
ap-8679	13	12	people	people	NOUN
ap-8679	13	13	worldwide	worldwide	ADV
ap-8679	13	14	are	be	AUX
ap-8679	13	15	blind	blind	ADJ
ap-8679	13	16	or	or	CCONJ
ap-8679	13	17	have	have	VERB
ap-8679	13	18	some	some	DET
ap-8679	13	19	form	form	NOUN
ap-8679	13	20	of	of	ADP
ap-8679	13	21	vision	vision	NOUN
ap-8679	13	22	loss	loss	NOUN
ap-8679	13	23	,	,	PUNCT
ap-8679	13	24	and	and	CCONJ
ap-8679	13	25	at	at	ADV
ap-8679	13	26	least	least	ADJ
ap-8679	13	27	1	1	NUM
ap-8679	13	28	billion	billion	NUM
ap-8679	13	29	of	of	ADP
ap-8679	13	30	them	they	PRON
ap-8679	13	31	have	have	VERB
ap-8679	13	32	a	a	DET
ap-8679	13	33	vision	vision	NOUN
ap-8679	13	34	impairment	impairment	NOUN
ap-8679	13	35	that	that	PRON
ap-8679	13	36	might	might	AUX
ap-8679	13	37	have	have	AUX
ap-8679	13	38	been	be	AUX
ap-8679	13	39	treated	treat	VERB
ap-8679	13	40	[	[	PUNCT
ap-8679	13	41	2	2	NUM
ap-8679	13	42	]	]	PUNCT
ap-8679	13	43	.	.	PUNCT
ap-8679	14	1	a	a	DET
ap-8679	14	2	survey	survey	NOUN
ap-8679	14	3	found	find	VERB
ap-8679	14	4	that	that	SCONJ
ap-8679	14	5	36	36	NUM
ap-8679	14	6	million	million	NUM
ap-8679	14	7	of	of	ADP
ap-8679	14	8	the	the	DET
ap-8679	14	9	7.33	7.33	NUM
ap-8679	14	10	billion	billion	NUM
ap-8679	14	11	people	people	NOUN
ap-8679	14	12	on	on	ADP
ap-8679	14	13	the	the	DET
ap-8679	14	14	planet	planet	NOUN
ap-8679	14	15	were	be	AUX
ap-8679	14	16	blind	blind	ADJ
ap-8679	14	17	in	in	ADP
ap-8679	14	18	2015	2015	NUM
ap-8679	14	19	.	.	PUNCT
ap-8679	15	1	this	this	DET
ap-8679	15	2	number	number	NOUN
ap-8679	15	3	is	be	AUX
ap-8679	15	4	predicted	predict	VERB
ap-8679	15	5	to	to	PART
ap-8679	15	6	increase	increase	VERB
ap-8679	15	7	to	to	ADP
ap-8679	15	8	115	115	NUM
ap-8679	15	9	million	million	NUM
ap-8679	15	10	people	people	NOUN
ap-8679	15	11	by	by	ADP
ap-8679	15	12	2050	2050	NUM
ap-8679	16	1	[	[	X
ap-8679	16	2	3	3	NUM
ap-8679	16	3	]	]	PUNCT
ap-8679	16	4	.	.	PUNCT
ap-8679	17	1	generally	generally	ADV
ap-8679	17	2	,	,	PUNCT
ap-8679	17	3	uncorrected	uncorrecte	VERB
ap-8679	17	4	refractive	refractive	ADJ
ap-8679	17	5	errors	error	NOUN
ap-8679	17	6	are	be	AUX
ap-8679	17	7	the	the	DET
ap-8679	17	8	predominant	predominant	ADJ
ap-8679	17	9	cause	cause	NOUN
ap-8679	17	10	of	of	ADP
ap-8679	17	11	severe	severe	ADJ
ap-8679	17	12	and	and	CCONJ
ap-8679	17	13	moderate	moderate	ADJ
ap-8679	17	14	visual	visual	ADJ
ap-8679	17	15	impairments	impairment	NOUN
ap-8679	17	16	;	;	PUNCT
ap-8679	17	17	in	in	ADP
ap-8679	17	18	middleand	middleand	NOUN
ap-8679	17	19	low	low	ADJ
ap-8679	17	20	-	-	PUNCT
ap-8679	17	21	income	income	NOUN
ap-8679	17	22	nations	nation	NOUN
ap-8679	17	23	,	,	PUNCT
ap-8679	17	24	cataracts	cataract	NOUN
ap-8679	17	25	continue	continue	VERB
ap-8679	17	26	to	to	PART
ap-8679	17	27	be	be	AUX
ap-8679	17	28	the	the	DET
ap-8679	17	29	leading	lead	VERB
ap-8679	17	30	cause	cause	NOUN
ap-8679	17	31	of	of	ADP
ap-8679	17	32	blindness	blindness	NOUN
ap-8679	17	33	.	.	PUNCT
ap-8679	18	1	for	for	ADP
ap-8679	18	2	example	example	NOUN
ap-8679	18	3	,	,	PUNCT
ap-8679	18	4	over	over	ADP
ap-8679	18	5	110	110	NUM
ap-8679	18	6	million	million	NUM
ap-8679	18	7	people	people	NOUN
ap-8679	18	8	globally	globally	ADV
ap-8679	18	9	were	be	AUX
ap-8679	18	10	affected	affect	VERB
ap-8679	18	11	by	by	ADP
ap-8679	18	12	cataracts	cataract	NOUN
ap-8679	18	13	in	in	ADP
ap-8679	18	14	2010	2010	NUM
ap-8679	18	15	and	and	CCONJ
ap-8679	18	16	by	by	ADP
ap-8679	18	17	2050	2050	NUM
ap-8679	18	18	,	,	PUNCT
ap-8679	18	19	the	the	DET
ap-8679	18	20	number	number	NOUN
ap-8679	18	21	of	of	ADP
ap-8679	18	22	cataracts	cataract	NOUN
ap-8679	18	23	is	be	AUX
ap-8679	18	24	estimated	estimate	VERB
ap-8679	18	25	to	to	PART
ap-8679	18	26	double	double	VERB
ap-8679	18	27	[	[	X
ap-8679	18	28	4–6	4–6	X
ap-8679	18	29	]	]	PUNCT
ap-8679	18	30	.	.	PUNCT
ap-8679	19	1	age	age	NOUN
ap-8679	19	2	,	,	PUNCT
ap-8679	19	3	diabetes	diabetes	NOUN
ap-8679	19	4	,	,	PUNCT
ap-8679	19	5	smoking	smoking	NOUN
ap-8679	19	6	,	,	PUNCT
ap-8679	19	7	low	low	ADJ
ap-8679	19	8	socioeconomic	socioeconomic	ADJ
ap-8679	19	9	condition	condition	NOUN
ap-8679	19	10	,	,	PUNCT
ap-8679	19	11	ocular	ocular	ADJ
ap-8679	19	12	trauma	trauma	NOUN
ap-8679	19	13	,	,	PUNCT
ap-8679	19	14	steroid	steroid	NOUN
ap-8679	19	15	use	use	NOUN
ap-8679	19	16	,	,	PUNCT
ap-8679	19	17	exposure	exposure	NOUN
ap-8679	19	18	to	to	ADP
ap-8679	19	19	ultraviolet	ultraviolet	NOUN
ap-8679	19	20	-	-	PUNCT
ap-8679	19	21	b	b	NOUN
ap-8679	19	22	radiation	radiation	NOUN
ap-8679	19	23	and	and	CCONJ
ap-8679	19	24	hereditary	hereditary	ADJ
ap-8679	19	25	factors	factor	NOUN
ap-8679	19	26	,	,	PUNCT
ap-8679	19	27	are	be	AUX
ap-8679	19	28	the	the	DET
ap-8679	19	29	risk	risk	NOUN
ap-8679	19	30	factors	factor	NOUN
ap-8679	19	31	for	for	ADP
ap-8679	19	32	the	the	DET
ap-8679	19	33	development	development	NOUN
ap-8679	19	34	of	of	ADP
ap-8679	19	35	the	the	DET
ap-8679	19	36	cataracts	cataract	NOUN
ap-8679	19	37	[	[	X
ap-8679	19	38	7	7	NUM
ap-8679	19	39	]	]	PUNCT
ap-8679	19	40	.	.	PUNCT
ap-8679	20	1	the	the	DET
ap-8679	20	2	second	second	ADJ
ap-8679	20	3	most	most	ADV
ap-8679	20	4	common	common	ADJ
ap-8679	20	5	cause	cause	NOUN
ap-8679	20	6	of	of	ADP
ap-8679	20	7	blindness	blindness	NOUN
ap-8679	20	8	worldwide	worldwide	ADV
ap-8679	20	9	is	be	AUX
ap-8679	20	10	glaucoma	glaucoma	NOUN
ap-8679	20	11	.	.	PUNCT
ap-8679	21	1	by	by	ADP
ap-8679	21	2	2020	2020	NUM
ap-8679	21	3	,	,	PUNCT
ap-8679	21	4	the	the	PRON
ap-8679	21	5	who	who	PRON
ap-8679	21	6	predicts	predict	VERB
ap-8679	21	7	that	that	SCONJ
ap-8679	21	8	glaucoma	glaucoma	NOUN
ap-8679	21	9	will	will	AUX
ap-8679	21	10	affect	affect	VERB
ap-8679	21	11	about	about	ADP
ap-8679	21	12	80	80	NUM
ap-8679	21	13	million	million	NUM
ap-8679	21	14	people	people	NOUN
ap-8679	21	15	,	,	PUNCT
ap-8679	21	16	and	and	CCONJ
ap-8679	21	17	its	its	PRON
ap-8679	21	18	prevalence	prevalence	NOUN
ap-8679	21	19	is	be	AUX
ap-8679	21	20	anticipated	anticipate	VERB
ap-8679	21	21	to	to	PART
ap-8679	21	22	rise	rise	VERB
ap-8679	21	23	.	.	PUNCT
ap-8679	22	1	more	more	ADJ
ap-8679	22	2	than	than	ADP
ap-8679	22	3	4.5	4.5	NUM
ap-8679	22	4	million	million	NUM
ap-8679	22	5	people	people	NOUN
ap-8679	22	6	have	have	AUX
ap-8679	22	7	been	be	AUX
ap-8679	22	8	estimated	estimate	VERB
ap-8679	22	9	to	to	PART
ap-8679	22	10	have	have	VERB
ap-8679	22	11	essential	essential	ADJ
ap-8679	22	12	glaucoma	glaucoma	NOUN
ap-8679	22	13	,	,	PUNCT
ap-8679	22	14	accounting	account	VERB
ap-8679	22	15	for	for	ADP
ap-8679	22	16	more	more	ADJ
ap-8679	22	17	than	than	ADP
ap-8679	22	18	12	12	NUM
ap-8679	22	19	%	%	NOUN
ap-8679	22	20	of	of	ADP
ap-8679	22	21	all	all	DET
ap-8679	22	22	visual	visual	ADJ
ap-8679	22	23	impairment	impairment	NOUN
ap-8679	22	24	globally	globally	ADV
ap-8679	22	25	[	[	X
ap-8679	22	26	8	8	NUM
ap-8679	22	27	]	]	PUNCT
ap-8679	22	28	.	.	PUNCT
ap-8679	23	1	more	more	ADJ
ap-8679	23	2	than	than	ADP
ap-8679	23	3	347	347	NUM
ap-8679	23	4	million	million	NUM
ap-8679	23	5	people	people	NOUN
ap-8679	23	6	worldwide	worldwide	ADV
ap-8679	23	7	have	have	VERB
ap-8679	23	8	diabetes	diabetes	NOUN
ap-8679	23	9	,	,	PUNCT
ap-8679	23	10	and	and	CCONJ
ap-8679	23	11	by	by	ADP
ap-8679	23	12	2030	2030	NUM
ap-8679	23	13	it	it	PRON
ap-8679	23	14	will	will	AUX
ap-8679	23	15	be	be	AUX
ap-8679	23	16	the	the	DET
ap-8679	23	17	seventh	seventh	ADJ
ap-8679	23	18	most	most	ADV
ap-8679	23	19	common	common	ADJ
ap-8679	23	20	cause	cause	NOUN
ap-8679	23	21	of	of	ADP
ap-8679	23	22	death	death	NOUN
ap-8679	23	23	.	.	PUNCT
ap-8679	24	1	diabetes	diabetes	NOUN
ap-8679	24	2	puts	put	VERB
ap-8679	24	3	a	a	DET
ap-8679	24	4	person	person	NOUN
ap-8679	24	5	at	at	ADP
ap-8679	24	6	risk	risk	NOUN
ap-8679	24	7	for	for	ADP
ap-8679	24	8	retinal	retinal	ADJ
ap-8679	24	9	abnormalities	abnormality	NOUN
ap-8679	24	10	known	know	VERB
ap-8679	24	11	as	as	ADP
ap-8679	24	12	diabetic	diabetic	ADJ
ap-8679	24	13	retinopathy	retinopathy	ADJ
ap-8679	24	14	(	(	PUNCT
ap-8679	24	15	dr	dr	PROPN
ap-8679	24	16	)	)	PUNCT
ap-8679	24	17	,	,	PUNCT
ap-8679	24	18	which	which	PRON
ap-8679	24	19	is	be	AUX
ap-8679	24	20	the	the	DET
ap-8679	24	21	third	third	ADJ
ap-8679	24	22	leading	lead	VERB
ap-8679	24	23	cause	cause	NOUN
ap-8679	24	24	of	of	ADP
ap-8679	24	25	blindness	blindness	NOUN
ap-8679	24	26	worldwide	worldwide	ADV
ap-8679	24	27	.	.	PUNCT
ap-8679	25	1	in	in	ADP
ap-8679	25	2	millimeters	millimeter	NOUN
ap-8679	25	3	of	of	ADP
ap-8679	25	4	mercury	mercury	NOUN
ap-8679	25	5	,	,	PUNCT
ap-8679	25	6	the	the	DET
ap-8679	25	7	ocular	ocular	ADJ
ap-8679	25	8	pressure	pressure	NOUN
ap-8679	25	9	is	be	AUX
ap-8679	25	10	calculated	calculate	VERB
ap-8679	25	11	.	.	PUNCT
ap-8679	26	1	the	the	DET
ap-8679	26	2	usual	usual	ADJ
ap-8679	26	3	range	range	NOUN
ap-8679	26	4	for	for	ADP
ap-8679	26	5	ocular	ocular	ADJ
ap-8679	26	6	pressure	pressure	NOUN
ap-8679	26	7	is	be	AUX
ap-8679	26	8	12–22	12–22	NUM
ap-8679	26	9	mm	mm	NUM
ap-8679	26	10	hg	hg	NOUN
ap-8679	26	11	,	,	PUNCT
ap-8679	26	12	and	and	CCONJ
ap-8679	26	13	anything	anything	PRON
ap-8679	26	14	higher	high	ADJ
ap-8679	26	15	than	than	SCONJ
ap-8679	26	16	22	22	NUM
ap-8679	26	17	mm	mm	NOUN
ap-8679	26	18	hg	hg	PROPN
ap-8679	26	19	is	be	AUX
ap-8679	26	20	regarded	regard	VERB
ap-8679	26	21	as	as	ADP
ap-8679	26	22	abnormally	abnormally	ADV
ap-8679	26	23	high	high	ADJ
ap-8679	26	24	.	.	PUNCT
ap-8679	27	1	the	the	DET
ap-8679	27	2	presence	presence	NOUN
ap-8679	27	3	of	of	ADP
ap-8679	27	4	diabetic	diabetic	ADJ
ap-8679	27	5	retinopathy	retinopathy	NOUN
ap-8679	27	6	in	in	ADP
ap-8679	27	7	the	the	DET
ap-8679	27	8	eye	eye	NOUN
ap-8679	27	9	is	be	AUX
ap-8679	27	10	due	due	ADJ
ap-8679	27	11	to	to	ADP
ap-8679	27	12	the	the	DET
ap-8679	27	13	rising	rise	VERB
ap-8679	27	14	intraocular	intraocular	ADJ
ap-8679	27	15	pressure	pressure	NOUN
ap-8679	27	16	.	.	PUNCT
ap-8679	28	1	diabetic	diabetic	ADJ
ap-8679	28	2	retinopathy	retinopathy	NOUN
ap-8679	28	3	can	can	AUX
ap-8679	28	4	not	not	PART
ap-8679	28	5	be	be	AUX
ap-8679	28	6	cured	cure	VERB
ap-8679	28	7	,	,	PUNCT
ap-8679	28	8	however	however	ADV
ap-8679	28	9	,	,	PUNCT
ap-8679	28	10	treatment	treatment	NOUN
ap-8679	28	11	can	can	AUX
ap-8679	28	12	halt	halt	VERB
ap-8679	28	13	its	its	PRON
ap-8679	28	14	progression	progression	NOUN
ap-8679	28	15	,	,	PUNCT
ap-8679	28	16	this	this	PRON
ap-8679	28	17	highlights	highlight	VERB
ap-8679	28	18	the	the	DET
ap-8679	28	19	significance	significance	NOUN
ap-8679	28	20	of	of	ADP
ap-8679	28	21	early	early	ADJ
ap-8679	28	22	disease	disease	NOUN
ap-8679	28	23	diagnosis	diagnosis	NOUN
ap-8679	28	24	.	.	PUNCT
ap-8679	29	1	the	the	DET
ap-8679	29	2	who	who	PRON
ap-8679	29	3	estimates	estimate	VERB
ap-8679	29	4	that	that	SCONJ
ap-8679	29	5	dr	dr	PROPN
ap-8679	29	6	accounts	account	VERB
ap-8679	29	7	for	for	ADP
ap-8679	29	8	4.8	4.8	NUM
ap-8679	29	9	%	%	NOUN
ap-8679	29	10	of	of	ADP
ap-8679	29	11	37	37	NUM
ap-8679	29	12	million	million	NUM
ap-8679	29	13	cases	case	NOUN
ap-8679	29	14	of	of	ADP
ap-8679	29	15	visual	visual	ADJ
ap-8679	29	16	impairment	impairment	NOUN
ap-8679	29	17	brought	bring	VERB
ap-8679	29	18	on	on	ADP
ap-8679	29	19	by	by	ADP
ap-8679	29	20	eye	eye	NOUN
ap-8679	29	21	illnesses	illness	NOUN
ap-8679	29	22	globally	globally	ADV
ap-8679	29	23	[	[	X
ap-8679	29	24	9	9	NUM
ap-8679	29	25	]	]	PUNCT
ap-8679	29	26	.	.	PUNCT
ap-8679	30	1	for	for	ADP
ap-8679	30	2	example	example	NOUN
ap-8679	30	3	,	,	PUNCT
ap-8679	30	4	algeria	algeria	PROPN
ap-8679	30	5	had	have	VERB
ap-8679	30	6	1800	1800	NUM
ap-8679	30	7	ophthalmologists	ophthalmologist	NOUN
ap-8679	30	8	for	for	ADP
ap-8679	30	9	its	its	PRON
ap-8679	30	10	40	40	NUM
ap-8679	30	11	million	million	NUM
ap-8679	30	12	citizens	citizen	NOUN
ap-8679	30	13	in	in	ADP
ap-8679	30	14	2017	2017	NUM
ap-8679	30	15	[	[	SYM
ap-8679	30	16	10	10	NUM
ap-8679	30	17	]	]	PUNCT
ap-8679	30	18	;	;	PUNCT
ap-8679	30	19	number	number	NOUN
ap-8679	30	20	has	have	VERB
ap-8679	30	21	to	to	PART
ap-8679	30	22	rise	rise	VERB
ap-8679	30	23	by	by	ADP
ap-8679	30	24	1	1	NUM
ap-8679	30	25	000	000	NUM
ap-8679	30	26	more	more	ADJ
ap-8679	30	27	ophthalmologists	ophthalmologist	NOUN
ap-8679	30	28	to	to	PART
ap-8679	30	29	meet	meet	VERB
ap-8679	30	30	worldwide	worldwide	ADJ
ap-8679	30	31	standards	standard	NOUN
ap-8679	30	32	.	.	PUNCT
ap-8679	31	1	with	with	ADP
ap-8679	31	2	80	80	NUM
ap-8679	31	3	specialists	specialist	NOUN
ap-8679	31	4	graduating	graduate	VERB
ap-8679	31	5	from	from	ADP
ap-8679	31	6	the	the	DET
ap-8679	31	7	university	university	NOUN
ap-8679	31	8	each	each	DET
ap-8679	31	9	year	year	NOUN
ap-8679	31	10	,	,	PUNCT
ap-8679	31	11	this	this	DET
ap-8679	31	12	target	target	NOUN
ap-8679	31	13	will	will	AUX
ap-8679	31	14	not	not	PART
ap-8679	31	15	be	be	AUX
ap-8679	31	16	reached	reach	VERB
ap-8679	31	17	for	for	ADP
ap-8679	31	18	another	another	DET
ap-8679	31	19	20	20	NUM
ap-8679	31	20	years	year	NOUN
ap-8679	31	21	.	.	PUNCT
ap-8679	32	1	therefore	therefore	ADV
ap-8679	32	2	,	,	PUNCT
ap-8679	32	3	the	the	DET
ap-8679	32	4	contribution	contribution	NOUN
ap-8679	32	5	of	of	ADP
ap-8679	32	6	artificial	artificial	ADJ
ap-8679	32	7	intelligence	intelligence	NOUN
ap-8679	32	8	tools	tool	NOUN
ap-8679	32	9	to	to	PART
ap-8679	32	10	help	help	VERB
ap-8679	32	11	medical	medical	ADJ
ap-8679	32	12	personnel	personnel	NOUN
ap-8679	32	13	to	to	PART
ap-8679	32	14	diagnose	diagnose	VERB
ap-8679	32	15	eye	eye	NOUN
ap-8679	32	16	diseases	disease	NOUN
ap-8679	32	17	becomes	become	VERB
ap-8679	32	18	inevitable	inevitable	ADJ
ap-8679	32	19	.	.	PUNCT
ap-8679	33	1	medical	medical	ADJ
ap-8679	33	2	professionals	professional	NOUN
ap-8679	33	3	can	can	AUX
ap-8679	33	4	diagnose	diagnose	VERB
ap-8679	33	5	diseases	disease	NOUN
ap-8679	33	6	earlier	early	ADV
ap-8679	33	7	with	with	ADP
ap-8679	33	8	the	the	DET
ap-8679	33	9	aid	aid	NOUN
ap-8679	33	10	of	of	ADP
ap-8679	33	11	deep	deep	ADJ
ap-8679	33	12	learning	learning	NOUN
ap-8679	33	13	(	(	PUNCT
ap-8679	33	14	dl	dl	PROPN
ap-8679	33	15	)	)	PUNCT
ap-8679	33	16	,	,	PUNCT
ap-8679	33	17	an	an	DET
ap-8679	33	18	important	important	ADJ
ap-8679	33	19	component	component	NOUN
ap-8679	33	20	of	of	ADP
ap-8679	33	21	artificial	artificial	ADJ
ap-8679	33	22	intelligence	intelligence	NOUN
ap-8679	33	23	(	(	PUNCT
ap-8679	33	24	ai	ai	NOUN
ap-8679	33	25	)	)	PUNCT
ap-8679	33	26	.	.	PUNCT
ap-8679	34	1	the	the	DET
ap-8679	34	2	findings	finding	NOUN
ap-8679	34	3	of	of	ADP
ap-8679	34	4	medical	medical	ADJ
ap-8679	34	5	test	test	NOUN
ap-8679	34	6	1	1	NUM
ap-8679	34	7	https://doi.org/10.14311/ap.2024.64.0001	https://doi.org/10.14311/ap.2024.64.0001	NOUN
ap-8679	34	8	https://creativecommons.org/licenses/by/4.0/	https://creativecommons.org/licenses/by/4.0/	PROPN
ap-8679	34	9	https://www.cvut.cz/en	https://www.cvut.cz/en	PROPN
ap-8679	34	10	s.	s.	PROPN
ap-8679	34	11	benbakreti	benbakreti	PROPN
ap-8679	34	12	,	,	PUNCT
ap-8679	34	13	s.	s.	PROPN
ap-8679	34	14	benbakreti	benbakreti	PROPN
ap-8679	34	15	,	,	PUNCT
ap-8679	34	16	u.	u.	PROPN
ap-8679	34	17	ozkaya	ozkaya	PROPN
ap-8679	34	18	acta	acta	PROPN
ap-8679	34	19	polytechnica	polytechnica	PROPN
ap-8679	34	20	results	result	NOUN
ap-8679	34	21	and	and	CCONJ
ap-8679	34	22	domain	domain	NOUN
ap-8679	34	23	knowledge	knowledge	NOUN
ap-8679	34	24	are	be	AUX
ap-8679	34	25	combined	combine	VERB
ap-8679	34	26	by	by	ADP
ap-8679	34	27	a	a	DET
ap-8679	34	28	vast	vast	ADJ
ap-8679	34	29	variety	variety	NOUN
ap-8679	34	30	of	of	ADP
ap-8679	34	31	ai	ai	NOUN
ap-8679	34	32	-	-	PUNCT
ap-8679	34	33	based	base	VERB
ap-8679	34	34	disease	disease	NOUN
ap-8679	34	35	detection	detection	NOUN
ap-8679	34	36	and	and	CCONJ
ap-8679	34	37	classification	classification	NOUN
ap-8679	34	38	systems	system	NOUN
ap-8679	34	39	[	[	X
ap-8679	34	40	11	11	NUM
ap-8679	34	41	,	,	PUNCT
ap-8679	34	42	12	12	NUM
ap-8679	34	43	]	]	PUNCT
ap-8679	34	44	.	.	PUNCT
ap-8679	35	1	recent	recent	ADJ
ap-8679	35	2	research	research	NOUN
ap-8679	35	3	has	have	AUX
ap-8679	35	4	shown	show	VERB
ap-8679	35	5	how	how	SCONJ
ap-8679	35	6	ai	ai	NOUN
ap-8679	35	7	can	can	AUX
ap-8679	35	8	be	be	AUX
ap-8679	35	9	used	use	VERB
ap-8679	35	10	to	to	PART
ap-8679	35	11	classify	classify	VERB
ap-8679	35	12	lung	lung	NOUN
ap-8679	35	13	tuberculosis	tuberculosis	NOUN
ap-8679	35	14	,	,	PUNCT
ap-8679	35	15	identify	identify	VERB
ap-8679	35	16	benign	benign	ADJ
ap-8679	35	17	or	or	CCONJ
ap-8679	35	18	malignant	malignant	ADJ
ap-8679	35	19	melanoma	melanoma	NOUN
ap-8679	35	20	,	,	PUNCT
ap-8679	35	21	diagnose	diagnose	NOUN
ap-8679	35	22	covid	covid	NOUN
ap-8679	35	23	19	19	NUM
ap-8679	35	24	using	use	VERB
ap-8679	35	25	a	a	DET
ap-8679	35	26	chest	chest	NOUN
ap-8679	35	27	x	x	NOUN
ap-8679	35	28	-	-	NOUN
ap-8679	35	29	ray	ray	NOUN
ap-8679	35	30	,	,	PUNCT
ap-8679	35	31	and	and	CCONJ
ap-8679	35	32	detect	detect	VERB
ap-8679	35	33	the	the	DET
ap-8679	35	34	progression	progression	NOUN
ap-8679	35	35	of	of	ADP
ap-8679	35	36	retinal	retinal	ADJ
ap-8679	35	37	illness	illness	NOUN
ap-8679	36	1	[	[	X
ap-8679	36	2	13–16	13–16	NUM
ap-8679	36	3	]	]	X
ap-8679	36	4	.	.	PUNCT
ap-8679	37	1	ophthalmic	ophthalmic	ADJ
ap-8679	37	2	disorders	disorder	NOUN
ap-8679	37	3	are	be	AUX
ap-8679	37	4	typically	typically	ADV
ap-8679	37	5	not	not	PART
ap-8679	37	6	life	life	NOUN
ap-8679	37	7	-	-	PUNCT
ap-8679	37	8	threatening	threaten	VERB
ap-8679	37	9	,	,	PUNCT
ap-8679	37	10	but	but	CCONJ
ap-8679	37	11	they	they	PRON
ap-8679	37	12	can	can	AUX
ap-8679	37	13	have	have	VERB
ap-8679	37	14	a	a	DET
ap-8679	37	15	major	major	ADJ
ap-8679	37	16	impact	impact	NOUN
ap-8679	37	17	on	on	ADP
ap-8679	37	18	the	the	DET
ap-8679	37	19	patient	patient	NOUN
ap-8679	37	20	’s	’s	PART
ap-8679	37	21	quality	quality	NOUN
ap-8679	37	22	of	of	ADP
ap-8679	37	23	life	life	NOUN
ap-8679	37	24	as	as	SCONJ
ap-8679	37	25	they	they	PRON
ap-8679	37	26	advance	advance	VERB
ap-8679	37	27	over	over	ADP
ap-8679	37	28	time	time	NOUN
ap-8679	37	29	.	.	PUNCT
ap-8679	38	1	ophthalmological	ophthalmological	ADJ
ap-8679	38	2	tools	tool	NOUN
ap-8679	38	3	are	be	AUX
ap-8679	38	4	used	use	VERB
ap-8679	38	5	to	to	PART
ap-8679	38	6	conduct	conduct	VERB
ap-8679	38	7	physical	physical	ADJ
ap-8679	38	8	examinations	examination	NOUN
ap-8679	38	9	,	,	PUNCT
ap-8679	38	10	and	and	CCONJ
ap-8679	38	11	complete	complete	ADJ
ap-8679	38	12	interpretation	interpretation	NOUN
ap-8679	38	13	is	be	AUX
ap-8679	38	14	employed	employ	VERB
ap-8679	38	15	to	to	PART
ap-8679	38	16	make	make	VERB
ap-8679	38	17	diagnoses	diagnosis	NOUN
ap-8679	38	18	.	.	PUNCT
ap-8679	39	1	in	in	ADP
ap-8679	39	2	order	order	NOUN
ap-8679	39	3	to	to	PART
ap-8679	39	4	make	make	VERB
ap-8679	39	5	predictions	prediction	NOUN
ap-8679	39	6	,	,	PUNCT
ap-8679	39	7	any	any	DET
ap-8679	39	8	machine	machine	NOUN
ap-8679	39	9	-	-	PUNCT
ap-8679	39	10	based	base	VERB
ap-8679	39	11	solution	solution	NOUN
ap-8679	39	12	must	must	AUX
ap-8679	39	13	concurrently	concurrently	ADV
ap-8679	39	14	take	take	VERB
ap-8679	39	15	into	into	ADP
ap-8679	39	16	account	account	NOUN
ap-8679	39	17	observations	observation	NOUN
ap-8679	39	18	,	,	PUNCT
ap-8679	39	19	symptoms	symptom	NOUN
ap-8679	39	20	,	,	PUNCT
ap-8679	39	21	and	and	CCONJ
ap-8679	39	22	results	result	NOUN
ap-8679	39	23	from	from	ADP
ap-8679	39	24	standardised	standardised	ADJ
ap-8679	39	25	tests	test	NOUN
ap-8679	39	26	.	.	PUNCT
ap-8679	40	1	implementing	implement	VERB
ap-8679	40	2	dl	dl	PROPN
ap-8679	40	3	in	in	ADP
ap-8679	40	4	eye	eye	NOUN
ap-8679	40	5	disease	disease	NOUN
ap-8679	40	6	screening	screen	VERB
ap-8679	40	7	and	and	CCONJ
ap-8679	40	8	turning	turn	VERB
ap-8679	40	9	this	this	DET
ap-8679	40	10	research	research	NOUN
ap-8679	40	11	into	into	ADP
ap-8679	40	12	clinical	clinical	ADJ
ap-8679	40	13	screening	screening	NOUN
ap-8679	40	14	still	still	ADV
ap-8679	40	15	presents	present	VERB
ap-8679	40	16	a	a	DET
ap-8679	40	17	significant	significant	ADJ
ap-8679	40	18	challenge	challenge	NOUN
ap-8679	40	19	.	.	PUNCT
ap-8679	41	1	the	the	DET
ap-8679	41	2	objective	objective	NOUN
ap-8679	41	3	of	of	ADP
ap-8679	41	4	this	this	DET
ap-8679	41	5	paper	paper	NOUN
ap-8679	41	6	is	be	AUX
ap-8679	41	7	to	to	PART
ap-8679	41	8	provide	provide	VERB
ap-8679	41	9	a	a	DET
ap-8679	41	10	tool	tool	NOUN
ap-8679	41	11	to	to	ADP
ap-8679	41	12	medical	medical	ADJ
ap-8679	41	13	personnel	personnel	NOUN
ap-8679	41	14	to	to	PART
ap-8679	41	15	help	help	VERB
ap-8679	41	16	them	they	PRON
ap-8679	41	17	quickly	quickly	ADV
ap-8679	41	18	diagnose	diagnose	VERB
ap-8679	41	19	eye	eye	NOUN
ap-8679	41	20	diseases	disease	NOUN
ap-8679	41	21	in	in	ADP
ap-8679	41	22	patients	patient	NOUN
ap-8679	41	23	.	.	PUNCT
ap-8679	42	1	through	through	ADP
ap-8679	42	2	an	an	DET
ap-8679	42	3	analysis	analysis	NOUN
ap-8679	42	4	of	of	ADP
ap-8679	42	5	the	the	DET
ap-8679	42	6	patient	patient	NOUN
ap-8679	42	7	’s	’s	PART
ap-8679	42	8	fundus	fundus	NOUN
ap-8679	42	9	mages	mage	NOUN
ap-8679	42	10	,	,	PUNCT
ap-8679	42	11	deep	deep	ADJ
ap-8679	42	12	learning	learning	NOUN
ap-8679	42	13	and	and	CCONJ
ap-8679	42	14	computer	computer	NOUN
ap-8679	42	15	vision	vision	NOUN
ap-8679	42	16	algorithms	algorithm	NOUN
ap-8679	42	17	can	can	AUX
ap-8679	42	18	be	be	AUX
ap-8679	42	19	used	use	VERB
ap-8679	42	20	to	to	PART
ap-8679	42	21	recognise	recognise	VERB
ap-8679	42	22	three	three	NUM
ap-8679	42	23	different	different	ADJ
ap-8679	42	24	diseases	disease	NOUN
ap-8679	42	25	(	(	PUNCT
ap-8679	42	26	dr	dr	PROPN
ap-8679	42	27	,	,	PUNCT
ap-8679	42	28	cataracts	cataract	NOUN
ap-8679	42	29	and	and	CCONJ
ap-8679	42	30	glaucoma	glaucoma	NOUN
ap-8679	42	31	)	)	PUNCT
ap-8679	42	32	.	.	PUNCT
ap-8679	43	1	this	this	PRON
ap-8679	43	2	will	will	AUX
ap-8679	43	3	reduce	reduce	VERB
ap-8679	43	4	the	the	DET
ap-8679	43	5	workload	workload	NOUN
ap-8679	43	6	of	of	ADP
ap-8679	43	7	already	already	ADV
ap-8679	43	8	overworked	overwork	VERB
ap-8679	43	9	doctors	doctor	NOUN
ap-8679	43	10	and	and	CCONJ
ap-8679	43	11	facilitate	facilitate	VERB
ap-8679	43	12	the	the	DET
ap-8679	43	13	treatment	treatment	NOUN
ap-8679	43	14	of	of	ADP
ap-8679	43	15	eye	eye	NOUN
ap-8679	43	16	diseases	disease	NOUN
ap-8679	43	17	diagnosed	diagnose	VERB
ap-8679	43	18	at	at	ADP
ap-8679	43	19	an	an	DET
ap-8679	43	20	early	early	ADJ
ap-8679	43	21	stage	stage	NOUN
ap-8679	43	22	.	.	PUNCT
ap-8679	44	1	the	the	DET
ap-8679	44	2	structure	structure	NOUN
ap-8679	44	3	of	of	ADP
ap-8679	44	4	the	the	DET
ap-8679	44	5	present	present	ADJ
ap-8679	44	6	document	document	NOUN
ap-8679	44	7	is	be	AUX
ap-8679	44	8	as	as	SCONJ
ap-8679	44	9	follows	follow	VERB
ap-8679	44	10	:	:	PUNCT
ap-8679	44	11	the	the	DET
ap-8679	44	12	introduction	introduction	NOUN
ap-8679	44	13	is	be	AUX
ap-8679	44	14	presented	present	VERB
ap-8679	44	15	in	in	ADP
ap-8679	44	16	section	section	NOUN
ap-8679	44	17	1	1	NUM
ap-8679	44	18	,	,	PUNCT
ap-8679	44	19	and	and	CCONJ
ap-8679	44	20	research	research	NOUN
ap-8679	44	21	work	work	NOUN
ap-8679	44	22	on	on	ADP
ap-8679	44	23	the	the	DET
ap-8679	44	24	early	early	ADJ
ap-8679	44	25	identification	identification	NOUN
ap-8679	44	26	of	of	ADP
ap-8679	44	27	various	various	ADJ
ap-8679	44	28	eye	eye	NOUN
ap-8679	44	29	diseases	disease	NOUN
ap-8679	44	30	is	be	AUX
ap-8679	44	31	discussed	discuss	VERB
ap-8679	44	32	in	in	ADP
ap-8679	44	33	section	section	NOUN
ap-8679	44	34	2	2	NUM
ap-8679	44	35	.	.	PUNCT
ap-8679	45	1	the	the	DET
ap-8679	45	2	dataset	dataset	NOUN
ap-8679	45	3	and	and	CCONJ
ap-8679	45	4	the	the	DET
ap-8679	45	5	proposed	propose	VERB
ap-8679	45	6	model	model	NOUN
ap-8679	45	7	are	be	AUX
ap-8679	45	8	described	describe	VERB
ap-8679	45	9	in	in	ADP
ap-8679	45	10	sections	section	NOUN
ap-8679	45	11	3	3	NUM
ap-8679	45	12	and	and	CCONJ
ap-8679	45	13	4	4	NUM
ap-8679	45	14	.	.	X
ap-8679	45	15	section	section	NOUN
ap-8679	45	16	5	5	NUM
ap-8679	45	17	details	detail	NOUN
ap-8679	45	18	the	the	DET
ap-8679	45	19	experiments	experiment	NOUN
ap-8679	45	20	performed	perform	VERB
ap-8679	45	21	on	on	ADP
ap-8679	45	22	the	the	DET
ap-8679	45	23	different	different	ADJ
ap-8679	45	24	architectures	architecture	NOUN
ap-8679	45	25	and	and	CCONJ
ap-8679	45	26	the	the	DET
ap-8679	45	27	conclusions	conclusion	NOUN
ap-8679	45	28	that	that	PRON
ap-8679	45	29	were	be	AUX
ap-8679	45	30	reached	reach	VERB
ap-8679	45	31	.	.	PUNCT
ap-8679	46	1	2	2	X
ap-8679	46	2	.	.	X
ap-8679	46	3	related	relate	VERB
ap-8679	46	4	work	work	NOUN
ap-8679	46	5	the	the	DET
ap-8679	46	6	authors	author	NOUN
ap-8679	46	7	of	of	ADP
ap-8679	46	8	this	this	DET
ap-8679	46	9	paper	paper	NOUN
ap-8679	47	1	[	[	X
ap-8679	47	2	17	17	NUM
ap-8679	47	3	]	]	PUNCT
ap-8679	47	4	,	,	PUNCT
ap-8679	47	5	suggest	suggest	VERB
ap-8679	47	6	an	an	DET
ap-8679	47	7	automatic	automatic	ADJ
ap-8679	47	8	classification	classification	NOUN
ap-8679	47	9	approach	approach	NOUN
ap-8679	47	10	that	that	PRON
ap-8679	47	11	takes	take	VERB
ap-8679	47	12	into	into	ADP
ap-8679	47	13	account	account	NOUN
ap-8679	47	14	two	two	NUM
ap-8679	47	15	scenarios	scenario	NOUN
ap-8679	47	16	:	:	PUNCT
ap-8679	47	17	mild	mild	ADJ
ap-8679	47	18	multi	multi	ADJ
ap-8679	47	19	-	-	ADJ
ap-8679	47	20	class	class	ADJ
ap-8679	47	21	diabetic	diabetic	ADJ
ap-8679	47	22	retinopathy	retinopathy	NOUN
ap-8679	47	23	(	(	PUNCT
ap-8679	47	24	ded	de	VERB
ap-8679	47	25	)	)	PUNCT
ap-8679	47	26	and	and	CCONJ
ap-8679	47	27	multi	multi	ADJ
ap-8679	47	28	-	-	ADJ
ap-8679	47	29	class	class	NOUN
ap-8679	47	30	ded	de	VERB
ap-8679	47	31	.	.	PUNCT
ap-8679	48	1	the	the	DET
ap-8679	48	2	model	model	NOUN
ap-8679	48	3	has	have	AUX
ap-8679	48	4	been	be	AUX
ap-8679	48	5	tested	test	VERB
ap-8679	48	6	on	on	ADP
ap-8679	48	7	many	many	ADJ
ap-8679	48	8	datasets	dataset	NOUN
ap-8679	48	9	.	.	PUNCT
ap-8679	49	1	two	two	NUM
ap-8679	49	2	of	of	ADP
ap-8679	49	3	imagenet	imagenet	NOUN
ap-8679	49	4	’s	’s	PART
ap-8679	49	5	top	top	ADJ
ap-8679	49	6	pre	pre	ADJ
ap-8679	49	7	-	-	ADJ
ap-8679	49	8	trained	train	VERB
ap-8679	49	9	convolutional	convolutional	ADJ
ap-8679	49	10	neural	neural	ADJ
ap-8679	49	11	network	network	NOUN
ap-8679	49	12	(	(	PUNCT
ap-8679	49	13	cnn	cnn	PROPN
ap-8679	49	14	)	)	PUNCT
ap-8679	49	15	models	model	NOUN
ap-8679	49	16	were	be	AUX
ap-8679	49	17	used	use	VERB
ap-8679	49	18	in	in	ADP
ap-8679	49	19	the	the	DET
ap-8679	49	20	experiment	experiment	NOUN
ap-8679	49	21	.	.	PUNCT
ap-8679	50	1	various	various	ADJ
ap-8679	50	2	performance	performance	NOUN
ap-8679	50	3	-	-	PUNCT
ap-8679	50	4	improving	improve	VERB
ap-8679	50	5	approaches	approach	NOUN
ap-8679	50	6	,	,	PUNCT
ap-8679	50	7	such	such	ADJ
ap-8679	50	8	as	as	ADP
ap-8679	50	9	fine	fine	ADV
ap-8679	50	10	-	-	PUNCT
ap-8679	50	11	tuning	tuning	NOUN
ap-8679	50	12	,	,	PUNCT
ap-8679	50	13	optimisation	optimisation	NOUN
ap-8679	50	14	,	,	PUNCT
ap-8679	50	15	and	and	CCONJ
ap-8679	50	16	contrast	contrast	NOUN
ap-8679	50	17	enhancement	enhancement	NOUN
ap-8679	50	18	,	,	PUNCT
ap-8679	50	19	were	be	AUX
ap-8679	50	20	also	also	ADV
ap-8679	50	21	applied	apply	VERB
ap-8679	50	22	.	.	PUNCT
ap-8679	51	1	on	on	ADP
ap-8679	51	2	the	the	DET
ap-8679	51	3	vgg16	vgg16	NOUN
ap-8679	51	4	model	model	NOUN
ap-8679	51	5	,	,	PUNCT
ap-8679	51	6	the	the	DET
ap-8679	51	7	maximum	maximum	ADJ
ap-8679	51	8	accuracy	accuracy	NOUN
ap-8679	51	9	for	for	ADP
ap-8679	51	10	multi	multi	ADJ
ap-8679	51	11	-	-	ADJ
ap-8679	51	12	class	class	ADJ
ap-8679	51	13	classification	classification	NOUN
ap-8679	51	14	was	be	AUX
ap-8679	51	15	88.3	88.3	NUM
ap-8679	51	16	%	%	NOUN
ap-8679	51	17	,	,	PUNCT
ap-8679	51	18	and	and	CCONJ
ap-8679	51	19	for	for	ADP
ap-8679	51	20	mild	mild	ADJ
ap-8679	51	21	multi	multi	ADJ
ap-8679	51	22	-	-	ADJ
ap-8679	51	23	class	class	ADJ
ap-8679	51	24	classification	classification	NOUN
ap-8679	51	25	,	,	PUNCT
ap-8679	51	26	it	it	PRON
ap-8679	51	27	was	be	AUX
ap-8679	51	28	85.95	85.95	NUM
ap-8679	51	29	%	%	NOUN
ap-8679	51	30	.	.	PUNCT
ap-8679	52	1	for	for	ADP
ap-8679	52	2	a	a	DET
ap-8679	52	3	multiclass	multiclass	ADJ
ap-8679	52	4	classification	classification	NOUN
ap-8679	52	5	system	system	NOUN
ap-8679	52	6	using	use	VERB
ap-8679	52	7	spectral	spectral	ADJ
ap-8679	52	8	domain	domain	NOUN
ap-8679	52	9	optical	optical	ADJ
ap-8679	52	10	coherence	coherence	NOUN
ap-8679	52	11	tomography	tomography	NOUN
ap-8679	52	12	(	(	PUNCT
ap-8679	52	13	sd	sd	NOUN
ap-8679	52	14	-	-	PUNCT
ap-8679	52	15	oct	oct	NOUN
ap-8679	52	16	)	)	PUNCT
ap-8679	52	17	,	,	PUNCT
ap-8679	52	18	a	a	DET
ap-8679	52	19	new	new	ADJ
ap-8679	52	20	automated	automate	VERB
ap-8679	52	21	convolutional	convolutional	ADJ
ap-8679	52	22	neural	neural	ADJ
ap-8679	52	23	network	network	NOUN
ap-8679	52	24	(	(	PUNCT
ap-8679	52	25	cnn	cnn	PROPN
ap-8679	52	26	)	)	PUNCT
ap-8679	52	27	model	model	NOUN
ap-8679	52	28	has	have	AUX
ap-8679	52	29	been	be	AUX
ap-8679	52	30	suggested	suggest	VERB
ap-8679	52	31	in	in	ADP
ap-8679	52	32	this	this	DET
ap-8679	52	33	research	research	NOUN
ap-8679	52	34	[	[	X
ap-8679	52	35	18	18	NUM
ap-8679	52	36	]	]	PUNCT
ap-8679	52	37	.	.	PUNCT
ap-8679	53	1	along	along	ADP
ap-8679	53	2	with	with	ADP
ap-8679	53	3	normal	normal	ADJ
ap-8679	53	4	cases	case	NOUN
ap-8679	53	5	,	,	PUNCT
ap-8679	53	6	the	the	DET
ap-8679	53	7	approach	approach	NOUN
ap-8679	53	8	divides	divide	VERB
ap-8679	53	9	retinal	retinal	ADJ
ap-8679	53	10	disease	disease	NOUN
ap-8679	53	11	into	into	ADP
ap-8679	53	12	five	five	NUM
ap-8679	53	13	categories	category	NOUN
ap-8679	53	14	:	:	PUNCT
ap-8679	53	15	agerelated	agerelate	VERB
ap-8679	53	16	macular	macular	ADJ
ap-8679	53	17	degeneration	degeneration	NOUN
ap-8679	53	18	(	(	PUNCT
ap-8679	53	19	amd	amd	ADJ
ap-8679	53	20	)	)	PUNCT
ap-8679	53	21	,	,	PUNCT
ap-8679	53	22	choroidal	choroidal	ADJ
ap-8679	53	23	neovascularization	neovascularization	NOUN
ap-8679	53	24	(	(	PUNCT
ap-8679	53	25	cnv	cnv	NOUN
ap-8679	53	26	)	)	PUNCT
ap-8679	53	27	,	,	PUNCT
ap-8679	53	28	drusen	drusen	NOUN
ap-8679	53	29	and	and	CCONJ
ap-8679	53	30	diabetic	diabetic	ADJ
ap-8679	53	31	macular	macular	ADJ
ap-8679	53	32	edema	edema	NOUN
ap-8679	53	33	(	(	PUNCT
ap-8679	53	34	dme	dme	PROPN
ap-8679	53	35	)	)	PUNCT
ap-8679	53	36	.	.	PUNCT
ap-8679	54	1	globally	globally	ADV
ap-8679	54	2	,	,	PUNCT
ap-8679	54	3	the	the	DET
ap-8679	54	4	proposed	propose	VERB
ap-8679	54	5	cnn	cnn	PROPN
ap-8679	54	6	architecture	architecture	NOUN
ap-8679	54	7	with	with	ADP
ap-8679	54	8	a	a	DET
ap-8679	54	9	softmax	softmax	NOUN
ap-8679	54	10	classifier	classifier	NOUN
ap-8679	54	11	has	have	AUX
ap-8679	54	12	produced	produce	VERB
ap-8679	54	13	excellent	excellent	ADJ
ap-8679	54	14	results	result	NOUN
ap-8679	54	15	.	.	PUNCT
ap-8679	55	1	to	to	PART
ap-8679	55	2	illustrate	illustrate	VERB
ap-8679	55	3	how	how	SCONJ
ap-8679	55	4	a	a	DET
ap-8679	55	5	new	new	ADJ
ap-8679	55	6	deep	deep	ADJ
ap-8679	55	7	learning	learning	NOUN
ap-8679	55	8	system	system	NOUN
ap-8679	55	9	can	can	AUX
ap-8679	55	10	be	be	AUX
ap-8679	55	11	used	use	VERB
ap-8679	55	12	to	to	PART
ap-8679	55	13	identify	identify	VERB
ap-8679	55	14	corneal	corneal	ADJ
ap-8679	55	15	abnormalities	abnormality	NOUN
ap-8679	55	16	,	,	PUNCT
ap-8679	55	17	a	a	DET
ap-8679	55	18	new	new	ADJ
ap-8679	55	19	hierarchical	hierarchical	ADJ
ap-8679	55	20	deep	deep	ADJ
ap-8679	55	21	learning	learning	NOUN
ap-8679	55	22	network	network	NOUN
ap-8679	55	23	representing	represent	VERB
ap-8679	55	24	various	various	ADJ
ap-8679	55	25	degrees	degree	NOUN
ap-8679	55	26	of	of	ADP
ap-8679	55	27	eye	eye	NOUN
ap-8679	55	28	disorders	disorder	NOUN
ap-8679	55	29	,	,	PUNCT
ap-8679	55	30	generated	generate	VERB
ap-8679	55	31	from	from	ADP
ap-8679	55	32	a	a	DET
ap-8679	55	33	predetermined	predetermine	VERB
ap-8679	55	34	hierarchical	hierarchical	ADJ
ap-8679	55	35	taxonomy	taxonomy	NOUN
ap-8679	55	36	of	of	ADP
ap-8679	55	37	eye	eye	NOUN
ap-8679	55	38	diseases	disease	NOUN
ap-8679	55	39	was	be	AUX
ap-8679	55	40	developed	develop	VERB
ap-8679	55	41	by	by	ADP
ap-8679	55	42	[	[	X
ap-8679	55	43	19	19	NUM
ap-8679	55	44	]	]	PUNCT
ap-8679	55	45	.	.	PUNCT
ap-8679	56	1	a	a	DET
ap-8679	56	2	family	family	NOUN
ap-8679	56	3	of	of	ADP
ap-8679	56	4	multi	multi	NOUN
ap-8679	56	5	-	-	NOUN
ap-8679	56	6	task	task	NOUN
ap-8679	56	7	,	,	PUNCT
ap-8679	56	8	multilabel	multilabel	NOUN
ap-8679	56	9	learning	learn	VERB
ap-8679	56	10	classifiers	classifier	NOUN
ap-8679	56	11	comprise	comprise	VERB
ap-8679	56	12	this	this	DET
ap-8679	56	13	system	system	NOUN
ap-8679	56	14	.	.	PUNCT
ap-8679	57	1	the	the	DET
ap-8679	57	2	proposed	propose	VERB
ap-8679	57	3	technique	technique	NOUN
ap-8679	57	4	was	be	AUX
ap-8679	57	5	directly	directly	ADV
ap-8679	57	6	trained	train	VERB
ap-8679	57	7	end	end	NOUN
ap-8679	57	8	-	-	PUNCT
ap-8679	57	9	to	to	ADP
ap-8679	57	10	-	-	PUNCT
ap-8679	57	11	end	end	NOUN
ap-8679	57	12	using	use	VERB
ap-8679	57	13	a	a	DET
ap-8679	57	14	retrospective	retrospective	ADJ
ap-8679	57	15	dataset	dataset	NOUN
ap-8679	57	16	of	of	ADP
ap-8679	57	17	5325	5325	NUM
ap-8679	57	18	ocular	ocular	ADJ
ap-8679	57	19	surface	surface	NOUN
ap-8679	57	20	images	image	NOUN
ap-8679	57	21	.	.	PUNCT
ap-8679	58	1	with	with	ADP
ap-8679	58	2	510	510	NUM
ap-8679	58	3	newly	newly	ADV
ap-8679	58	4	enrolled	enrol	VERB
ap-8679	58	5	outpatients	outpatient	NOUN
ap-8679	58	6	who	who	PRON
ap-8679	58	7	had	have	VERB
ap-8679	58	8	infectious	infectious	ADJ
ap-8679	58	9	keratitis	keratitis	NOUN
ap-8679	58	10	,	,	PUNCT
ap-8679	58	11	non	non	ADJ
ap-8679	58	12	-	-	ADJ
ap-8679	58	13	infectious	infectious	ADJ
ap-8679	58	14	keratitis	keratitis	NOUN
ap-8679	58	15	,	,	PUNCT
ap-8679	58	16	dystrophy	dystrophy	NOUN
ap-8679	58	17	,	,	PUNCT
ap-8679	58	18	or	or	CCONJ
ap-8679	58	19	corneal	corneal	ADJ
ap-8679	58	20	degeneration	degeneration	NOUN
ap-8679	58	21	as	as	ADV
ap-8679	58	22	well	well	ADV
ap-8679	58	23	as	as	ADP
ap-8679	58	24	a	a	DET
ap-8679	58	25	corneal	corneal	ADJ
ap-8679	58	26	tumor	tumor	NOUN
ap-8679	58	27	,	,	PUNCT
ap-8679	58	28	the	the	DET
ap-8679	58	29	algorithm	algorithm	NOUN
ap-8679	58	30	’s	’s	PART
ap-8679	58	31	performance	performance	NOUN
ap-8679	58	32	was	be	AUX
ap-8679	58	33	then	then	ADV
ap-8679	58	34	compared	compare	VERB
ap-8679	58	35	with	with	ADP
ap-8679	58	36	that	that	PRON
ap-8679	58	37	of	of	ADP
ap-8679	58	38	ten	ten	NUM
ap-8679	58	39	ophthalmologists	ophthalmologist	NOUN
ap-8679	58	40	.	.	PUNCT
ap-8679	59	1	the	the	DET
ap-8679	59	2	confusion	confusion	NOUN
ap-8679	59	3	matrices	matrix	NOUN
ap-8679	59	4	showed	show	VERB
ap-8679	59	5	similarities	similarity	NOUN
ap-8679	59	6	in	in	ADP
ap-8679	59	7	the	the	DET
ap-8679	59	8	misclassifications	misclassification	NOUN
ap-8679	59	9	made	make	VERB
ap-8679	59	10	by	by	ADP
ap-8679	59	11	the	the	DET
ap-8679	59	12	computer	computer	NOUN
ap-8679	59	13	and	and	CCONJ
ap-8679	59	14	human	human	ADJ
ap-8679	59	15	experts	expert	NOUN
ap-8679	59	16	.	.	PUNCT
ap-8679	60	1	the	the	DET
ap-8679	60	2	main	main	ADJ
ap-8679	60	3	objective	objective	NOUN
ap-8679	60	4	of	of	ADP
ap-8679	60	5	the	the	DET
ap-8679	60	6	work	work	NOUN
ap-8679	60	7	in	in	ADP
ap-8679	60	8	[	[	X
ap-8679	60	9	20	20	NUM
ap-8679	60	10	]	]	PUNCT
ap-8679	60	11	was	be	AUX
ap-8679	60	12	to	to	PART
ap-8679	60	13	create	create	VERB
ap-8679	60	14	and	and	CCONJ
ap-8679	60	15	assess	assess	VERB
ap-8679	60	16	a	a	DET
ap-8679	60	17	deep	deep	ADJ
ap-8679	60	18	learning	learning	NOUN
ap-8679	60	19	model	model	NOUN
ap-8679	60	20	to	to	PART
ap-8679	60	21	assess	assess	VERB
ap-8679	60	22	the	the	DET
ap-8679	60	23	severity	severity	NOUN
ap-8679	60	24	of	of	ADP
ap-8679	60	25	amd	amd	NOUN
ap-8679	60	26	at	at	ADP
ap-8679	60	27	the	the	DET
ap-8679	60	28	patient	patient	ADJ
ap-8679	60	29	level	level	NOUN
ap-8679	60	30	using	use	VERB
ap-8679	60	31	the	the	DET
ap-8679	60	32	areds	ared	NOUN
ap-8679	60	33	simplified	simplify	VERB
ap-8679	60	34	severity	severity	NOUN
ap-8679	60	35	scale	scale	NOUN
ap-8679	60	36	using	use	VERB
ap-8679	60	37	fundus	fundus	NOUN
ap-8679	60	38	images	image	NOUN
ap-8679	60	39	of	of	ADP
ap-8679	60	40	both	both	DET
ap-8679	60	41	eyes	eye	NOUN
ap-8679	60	42	.	.	PUNCT
ap-8679	61	1	the	the	DET
ap-8679	61	2	images	image	NOUN
ap-8679	61	3	were	be	AUX
ap-8679	61	4	taken	take	VERB
ap-8679	61	5	from	from	ADP
ap-8679	61	6	one	one	NUM
ap-8679	61	7	of	of	ADP
ap-8679	61	8	the	the	DET
ap-8679	61	9	largest	large	ADJ
ap-8679	61	10	datasets	dataset	NOUN
ap-8679	61	11	currently	currently	ADV
ap-8679	61	12	available	available	ADJ
ap-8679	61	13	,	,	PUNCT
ap-8679	61	14	the	the	DET
ap-8679	61	15	areds	ared	NOUN
ap-8679	61	16	dataset	dataset	PROPN
ap-8679	61	17	,	,	PUNCT
ap-8679	61	18	which	which	PRON
ap-8679	61	19	has	have	VERB
ap-8679	61	20	approximately	approximately	ADV
ap-8679	61	21	60,000	60,000	NUM
ap-8679	61	22	retinal	retinal	ADJ
ap-8679	61	23	scans	scan	NOUN
ap-8679	61	24	in	in	ADP
ap-8679	61	25	it	it	PRON
ap-8679	61	26	.	.	PUNCT
ap-8679	62	1	the	the	DET
ap-8679	62	2	model	model	NOUN
ap-8679	62	3	simulates	simulate	VERB
ap-8679	62	4	the	the	DET
ap-8679	62	5	human	human	ADJ
ap-8679	62	6	grading	grade	VERB
ap-8679	62	7	procedure	procedure	NOUN
ap-8679	62	8	by	by	ADP
ap-8679	62	9	first	first	ADV
ap-8679	62	10	identifying	identify	VERB
ap-8679	62	11	certain	certain	ADJ
ap-8679	62	12	risk	risk	NOUN
ap-8679	62	13	indicators	indicator	NOUN
ap-8679	62	14	(	(	PUNCT
ap-8679	62	15	drusen	drusen	NOUN
ap-8679	62	16	and	and	CCONJ
ap-8679	62	17	pigment	pigment	NOUN
ap-8679	62	18	abnormalities	abnormality	NOUN
ap-8679	62	19	)	)	PUNCT
ap-8679	62	20	in	in	ADP
ap-8679	62	21	each	each	DET
ap-8679	62	22	eye	eye	NOUN
ap-8679	62	23	.	.	PUNCT
ap-8679	63	1	an	an	DET
ap-8679	63	2	ophthalmologist	ophthalmologist	NOUN
ap-8679	63	3	can	can	AUX
ap-8679	63	4	examine	examine	VERB
ap-8679	63	5	the	the	DET
ap-8679	63	6	patient	patient	NOUN
ap-8679	63	7	and	and	CCONJ
ap-8679	63	8	see	see	VERB
ap-8679	63	9	a	a	DET
ap-8679	63	10	clear	clear	ADJ
ap-8679	63	11	result	result	NOUN
ap-8679	63	12	since	since	SCONJ
ap-8679	63	13	it	it	PRON
ap-8679	63	14	combines	combine	VERB
ap-8679	63	15	the	the	DET
ap-8679	63	16	numbers	number	NOUN
ap-8679	63	17	from	from	ADP
ap-8679	63	18	two	two	NUM
ap-8679	63	19	eyes	eye	NOUN
ap-8679	63	20	to	to	PART
ap-8679	63	21	give	give	VERB
ap-8679	63	22	the	the	DET
ap-8679	63	23	patient	patient	NOUN
ap-8679	63	24	an	an	DET
ap-8679	63	25	amd	amd	ADJ
ap-8679	63	26	score	score	NOUN
ap-8679	63	27	that	that	PRON
ap-8679	63	28	perfectly	perfectly	ADV
ap-8679	63	29	matches	match	VERB
ap-8679	63	30	the	the	DET
ap-8679	63	31	clinical	clinical	ADJ
ap-8679	63	32	decision	decision	NOUN
ap-8679	63	33	-	-	PUNCT
ap-8679	63	34	making	make	VERB
ap-8679	63	35	process	process	NOUN
ap-8679	63	36	.	.	PUNCT
ap-8679	64	1	alam	alam	PROPN
ap-8679	64	2	et	et	PROPN
ap-8679	64	3	al	al	PROPN
ap-8679	64	4	.	.	PUNCT
ap-8679	65	1	[	[	X
ap-8679	65	2	21	21	NUM
ap-8679	65	3	]	]	AUX
ap-8679	65	4	used	use	VERB
ap-8679	65	5	a	a	DET
ap-8679	65	6	supervised	supervised	ADJ
ap-8679	65	7	machine	machine	NOUN
ap-8679	65	8	learning	learn	VERB
ap-8679	65	9	to	to	PART
ap-8679	65	10	achieve	achieve	VERB
ap-8679	65	11	a	a	DET
ap-8679	65	12	multitasking	multitaske	VERB
ap-8679	65	13	octa	octa	NOUN
ap-8679	65	14	classification	classification	NOUN
ap-8679	65	15	.	.	PUNCT
ap-8679	66	1	at	at	ADP
ap-8679	66	2	first	first	ADV
ap-8679	66	3	,	,	PUNCT
ap-8679	66	4	it	it	PRON
ap-8679	66	5	was	be	AUX
ap-8679	66	6	required	require	VERB
ap-8679	66	7	to	to	PART
ap-8679	66	8	distinguish	distinguish	VERB
ap-8679	66	9	between	between	ADP
ap-8679	66	10	healthy	healthy	ADJ
ap-8679	66	11	eyes	eye	NOUN
ap-8679	66	12	and	and	CCONJ
ap-8679	66	13	eyes	eye	NOUN
ap-8679	66	14	with	with	ADP
ap-8679	66	15	disorders	disorder	NOUN
ap-8679	66	16	,	,	PUNCT
ap-8679	66	17	between	between	ADP
ap-8679	66	18	many	many	ADJ
ap-8679	66	19	eye	eye	NOUN
ap-8679	66	20	diseases	disease	NOUN
ap-8679	66	21	,	,	PUNCT
ap-8679	66	22	and	and	CCONJ
ap-8679	66	23	between	between	ADP
ap-8679	66	24	the	the	DET
ap-8679	66	25	severity	severity	NOUN
ap-8679	66	26	of	of	ADP
ap-8679	66	27	each	each	DET
ap-8679	66	28	eye	eye	NOUN
ap-8679	66	29	condition	condition	NOUN
ap-8679	66	30	.	.	PUNCT
ap-8679	67	1	the	the	DET
ap-8679	67	2	foveal	foveal	ADJ
ap-8679	67	3	avascular	avascular	ADJ
ap-8679	67	4	area	area	NOUN
ap-8679	67	5	(	(	PUNCT
ap-8679	67	6	faz	faz	PROPN
ap-8679	67	7	)	)	PUNCT
ap-8679	67	8	,	,	PUNCT
ap-8679	67	9	blood	blood	NOUN
ap-8679	67	10	vascular	vascular	NOUN
ap-8679	67	11	caliber	caliber	NOUN
ap-8679	67	12	(	(	PUNCT
ap-8679	67	13	bvc	bvc	PROPN
ap-8679	67	14	)	)	PUNCT
ap-8679	67	15	,	,	PUNCT
ap-8679	67	16	vascular	vascular	ADJ
ap-8679	67	17	perimeter	perimeter	NOUN
ap-8679	67	18	index	index	NOUN
ap-8679	67	19	(	(	PUNCT
ap-8679	67	20	vpi	vpi	PROPN
ap-8679	67	21	)	)	PUNCT
ap-8679	67	22	,	,	PUNCT
ap-8679	67	23	blood	blood	NOUN
ap-8679	67	24	vessel	vessel	NOUN
ap-8679	67	25	density	density	NOUN
ap-8679	67	26	(	(	PUNCT
ap-8679	67	27	bvd	bvd	PROPN
ap-8679	67	28	)	)	PUNCT
ap-8679	67	29	,	,	PUNCT
ap-8679	67	30	and	and	CCONJ
ap-8679	67	31	faz	faz	PROPN
ap-8679	67	32	contour	contour	NOUN
ap-8679	67	33	irregularity	irregularity	NOUN
ap-8679	67	34	(	(	PUNCT
ap-8679	67	35	fazci	fazci	NOUN
ap-8679	67	36	)	)	PUNCT
ap-8679	67	37	were	be	AUX
ap-8679	67	38	all	all	PRON
ap-8679	67	39	quantitative	quantitative	ADJ
ap-8679	67	40	octa	octa	PROPN
ap-8679	67	41	characteristics	characteristic	NOUN
ap-8679	67	42	that	that	PRON
ap-8679	67	43	were	be	AUX
ap-8679	67	44	entirely	entirely	ADV
ap-8679	67	45	automatically	automatically	ADV
ap-8679	67	46	extracted	extract	VERB
ap-8679	67	47	from	from	ADP
ap-8679	67	48	the	the	DET
ap-8679	67	49	octa	octa	PROPN
ap-8679	67	50	images	image	NOUN
ap-8679	67	51	.	.	PUNCT
ap-8679	68	1	sensitive	sensitive	ADJ
ap-8679	68	2	octa	octa	PROPN
ap-8679	68	3	features	feature	NOUN
ap-8679	68	4	and	and	CCONJ
ap-8679	68	5	the	the	DET
ap-8679	68	6	best	good	ADJ
ap-8679	68	7	feature	feature	NOUN
ap-8679	68	8	combinations	combination	NOUN
ap-8679	68	9	for	for	ADP
ap-8679	68	10	multitasking	multitaske	VERB
ap-8679	68	11	categorisation	categorisation	NOUN
ap-8679	68	12	were	be	AUX
ap-8679	68	13	found	find	VERB
ap-8679	68	14	using	use	VERB
ap-8679	68	15	a	a	DET
ap-8679	68	16	backward	backward	ADJ
ap-8679	68	17	phase	phase	NOUN
ap-8679	68	18	-	-	PUNCT
ap-8679	68	19	out	out	ADP
ap-8679	68	20	method	method	NOUN
ap-8679	68	21	.	.	PUNCT
ap-8679	69	1	the	the	DET
ap-8679	69	2	supervised	supervised	ADJ
ap-8679	69	3	machine	machine	NOUN
ap-8679	69	4	learning	learning	NOUN
ap-8679	69	5	classifier	classifier	NOUN
ap-8679	69	6	was	be	AUX
ap-8679	69	7	validated	validate	VERB
ap-8679	69	8	using	use	VERB
ap-8679	69	9	diabetic	diabetic	ADJ
ap-8679	69	10	retinopathy	retinopathy	ADJ
ap-8679	69	11	(	(	PUNCT
ap-8679	69	12	dr	dr	PROPN
ap-8679	69	13	)	)	PUNCT
ap-8679	69	14	and	and	CCONJ
ap-8679	69	15	sickle	sickle	NOUN
ap-8679	69	16	cell	cell	NOUN
ap-8679	69	17	retinopathy	retinopathy	ADJ
ap-8679	69	18	(	(	PUNCT
ap-8679	69	19	scr	scr	NOUN
ap-8679	69	20	)	)	PUNCT
ap-8679	69	21	for	for	ADP
ap-8679	69	22	the	the	DET
ap-8679	69	23	proof	proof	NOUN
ap-8679	69	24	-	-	PUNCT
ap-8679	69	25	of	of	ADP
ap-8679	69	26	-	-	PUNCT
ap-8679	69	27	concept	concept	NOUN
ap-8679	69	28	demonstration	demonstration	NOUN
ap-8679	69	29	.	.	PUNCT
ap-8679	70	1	in	in	ADP
ap-8679	70	2	order	order	NOUN
ap-8679	70	3	to	to	PART
ap-8679	70	4	automatically	automatically	ADV
ap-8679	70	5	categorise	categorise	VERB
ap-8679	70	6	the	the	DET
ap-8679	70	7	severity	severity	NOUN
ap-8679	70	8	levels	level	NOUN
ap-8679	70	9	of	of	ADP
ap-8679	70	10	nuclear	nuclear	ADJ
ap-8679	70	11	cataract	cataract	NOUN
ap-8679	70	12	(	(	PUNCT
ap-8679	70	13	nc	nc	PROPN
ap-8679	70	14	)	)	PUNCT
ap-8679	70	15	,	,	PUNCT
ap-8679	70	16	the	the	DET
ap-8679	70	17	authors	author	NOUN
ap-8679	70	18	in	in	ADP
ap-8679	70	19	[	[	X
ap-8679	70	20	22	22	NUM
ap-8679	70	21	]	]	PUNCT
ap-8679	70	22	suggest	suggest	VERB
ap-8679	70	23	a	a	DET
ap-8679	70	24	new	new	ADJ
ap-8679	70	25	convolutional	convolutional	ADJ
ap-8679	70	26	neural	neural	ADJ
ap-8679	70	27	network	network	NOUN
ap-8679	70	28	(	(	PUNCT
ap-8679	70	29	cnn	cnn	PROPN
ap-8679	70	30	)	)	PUNCT
ap-8679	70	31	framework	framework	NOUN
ap-8679	70	32	called	call	VERB
ap-8679	70	33	adaptive	adaptive	ADJ
ap-8679	70	34	feature	feature	NOUN
ap-8679	70	35	squeeze	squeeze	NOUN
ap-8679	70	36	network	network	NOUN
ap-8679	70	37	(	(	PUNCT
ap-8679	70	38	afsnet	afsnet	NOUN
ap-8679	70	39	)	)	PUNCT
ap-8679	70	40	.	.	PUNCT
ap-8679	71	1	the	the	DET
ap-8679	71	2	model	model	NOUN
ap-8679	71	3	is	be	AUX
ap-8679	71	4	constructed	construct	VERB
ap-8679	71	5	utilising	utilise	VERB
ap-8679	71	6	an	an	DET
ap-8679	71	7	adaptive	adaptive	ADJ
ap-8679	71	8	feature	feature	NOUN
ap-8679	71	9	compression	compression	NOUN
ap-8679	71	10	module	module	NOUN
ap-8679	71	11	,	,	PUNCT
ap-8679	71	12	which	which	PRON
ap-8679	71	13	includes	include	VERB
ap-8679	71	14	a	a	DET
ap-8679	71	15	compression	compression	NOUN
ap-8679	71	16	block	block	NOUN
ap-8679	71	17	and	and	CCONJ
ap-8679	71	18	an	an	DET
ap-8679	71	19	update	update	NOUN
ap-8679	71	20	operation	operation	NOUN
ap-8679	71	21	in	in	ADP
ap-8679	71	22	global	global	ADJ
ap-8679	71	23	adaptive	adaptive	ADJ
ap-8679	71	24	commonality	commonality	NOUN
ap-8679	71	25	,	,	PUNCT
ap-8679	71	26	to	to	PART
ap-8679	71	27	dynamically	dynamically	ADV
ap-8679	71	28	compress	compress	VERB
ap-8679	71	29	the	the	DET
ap-8679	71	30	local	local	ADJ
ap-8679	71	31	feature	feature	NOUN
ap-8679	71	32	representations	representation	NOUN
ap-8679	71	33	and	and	CCONJ
ap-8679	71	34	update	update	VERB
ap-8679	71	35	the	the	DET
ap-8679	71	36	relative	relative	ADJ
ap-8679	71	37	importance	importance	NOUN
ap-8679	71	38	of	of	ADP
ap-8679	71	39	the	the	DET
ap-8679	71	40	global	global	ADJ
ap-8679	71	41	feature	feature	NOUN
ap-8679	71	42	representations	representation	NOUN
ap-8679	71	43	.	.	PUNCT
ap-8679	72	1	the	the	DET
ap-8679	72	2	as	as	ADP
ap-8679	72	3	-	-	PUNCT
ap-8679	72	4	oct	oct	NOUN
ap-8679	72	5	clinical	clinical	ADJ
ap-8679	72	6	picture	picture	NOUN
ap-8679	72	7	dataset	dataset	NOUN
ap-8679	72	8	is	be	AUX
ap-8679	72	9	used	use	VERB
ap-8679	72	10	,	,	PUNCT
ap-8679	72	11	and	and	CCONJ
ap-8679	72	12	the	the	DET
ap-8679	72	13	outcomes	outcome	NOUN
ap-8679	72	14	show	show	VERB
ap-8679	72	15	the	the	DET
ap-8679	72	16	technique	technique	NOUN
ap-8679	72	17	’s	’s	PART
ap-8679	72	18	efficacy	efficacy	NOUN
ap-8679	72	19	.	.	PUNCT
ap-8679	73	1	a	a	DET
ap-8679	73	2	new	new	ADJ
ap-8679	73	3	convolutional	convolutional	ADJ
ap-8679	73	4	and	and	CCONJ
ap-8679	73	5	recurrent	recurrent	ADJ
ap-8679	73	6	hybrid	hybrid	ADJ
ap-8679	73	7	neural	neural	ADJ
ap-8679	73	8	network	network	NOUN
ap-8679	73	9	(	(	PUNCT
ap-8679	73	10	crnn	crnn	PROPN
ap-8679	73	11	)	)	PUNCT
ap-8679	73	12	for	for	ADP
ap-8679	73	13	cataract	cataract	NOUN
ap-8679	73	14	classification	classification	NOUN
ap-8679	73	15	based	base	VERB
ap-8679	73	16	on	on	ADP
ap-8679	73	17	fundus	fundus	NOUN
ap-8679	73	18	images	image	NOUN
ap-8679	73	19	is	be	AUX
ap-8679	73	20	presented	present	VERB
ap-8679	73	21	in	in	ADP
ap-8679	73	22	this	this	DET
ap-8679	73	23	research	research	NOUN
ap-8679	73	24	[	[	X
ap-8679	73	25	23	23	NUM
ap-8679	73	26	]	]	PUNCT
ap-8679	73	27	.	.	PUNCT
ap-8679	74	1	the	the	DET
ap-8679	74	2	suggested	suggest	VERB
ap-8679	74	3	crnn	crnn	PROPN
ap-8679	74	4	keeps	keep	VERB
ap-8679	74	5	the	the	DET
ap-8679	74	6	long	long	ADJ
ap-8679	74	7	-	-	PUNCT
ap-8679	74	8	term	term	NOUN
ap-8679	74	9	and	and	CCONJ
ap-8679	74	10	short	short	ADJ
ap-8679	74	11	-	-	PUNCT
ap-8679	74	12	term	term	NOUN
ap-8679	74	13	spatial	spatial	ADJ
ap-8679	74	14	correlation	correlation	NOUN
ap-8679	74	15	between	between	ADP
ap-8679	74	16	patches	patch	NOUN
ap-8679	74	17	by	by	ADP
ap-8679	74	18	combining	combine	VERB
ap-8679	74	19	the	the	DET
ap-8679	74	20	2	2	NUM
ap-8679	74	21	vol	vol	NOUN
ap-8679	74	22	.	.	PUNCT
ap-8679	75	1	64	64	NUM
ap-8679	75	2	no	no	NOUN
ap-8679	75	3	.	.	PUNCT
ap-8679	76	1	1/2024	1/2024	NUM
ap-8679	76	2	cnn	cnn	PROPN
ap-8679	76	3	-	-	PUNCT
ap-8679	76	4	based	base	VERB
ap-8679	76	5	eye	eye	NOUN
ap-8679	76	6	disease	disease	NOUN
ap-8679	76	7	classification	classification	NOUN
ap-8679	76	8	from	from	ADP
ap-8679	76	9	fundus	fundus	NOUN
ap-8679	76	10	images	image	NOUN
ap-8679	76	11	benefits	benefit	NOUN
ap-8679	76	12	of	of	ADP
ap-8679	76	13	the	the	DET
ap-8679	76	14	convolutional	convolutional	ADJ
ap-8679	76	15	neural	neural	ADJ
ap-8679	76	16	network	network	NOUN
ap-8679	76	17	and	and	CCONJ
ap-8679	76	18	recurrent	recurrent	ADJ
ap-8679	76	19	neural	neural	ADJ
ap-8679	76	20	network	network	NOUN
ap-8679	76	21	.	.	PUNCT
ap-8679	77	1	we	we	PRON
ap-8679	77	2	use	use	VERB
ap-8679	77	3	alexnet	alexnet	NOUN
ap-8679	77	4	,	,	PUNCT
ap-8679	77	5	googlenet	googlenet	NOUN
ap-8679	77	6	,	,	PUNCT
ap-8679	77	7	resnet	resnet	NOUN
ap-8679	77	8	,	,	PUNCT
ap-8679	77	9	and	and	CCONJ
ap-8679	77	10	vggnet	vggnet	NOUN
ap-8679	77	11	in	in	ADP
ap-8679	77	12	conjunction	conjunction	NOUN
ap-8679	77	13	with	with	ADP
ap-8679	77	14	transfer	transfer	NOUN
ap-8679	77	15	learning	learn	VERB
ap-8679	77	16	to	to	PART
ap-8679	77	17	extract	extract	VERB
ap-8679	77	18	multilevel	multilevel	ADJ
ap-8679	77	19	feature	feature	NOUN
ap-8679	77	20	representation	representation	NOUN
ap-8679	77	21	and	and	CCONJ
ap-8679	77	22	assess	assess	VERB
ap-8679	77	23	how	how	SCONJ
ap-8679	77	24	well	well	ADV
ap-8679	77	25	these	these	DET
ap-8679	77	26	models	model	NOUN
ap-8679	77	27	classify	classify	VERB
ap-8679	77	28	cataracts	cataract	NOUN
ap-8679	77	29	.	.	PUNCT
ap-8679	78	1	with	with	ADP
ap-8679	78	2	an	an	DET
ap-8679	78	3	average	average	ADJ
ap-8679	78	4	accuracy	accuracy	NOUN
ap-8679	78	5	of	of	ADP
ap-8679	78	6	0.97	0.97	NUM
ap-8679	78	7	%	%	NOUN
ap-8679	78	8	for	for	ADP
ap-8679	78	9	classifying	classify	VERB
ap-8679	78	10	cataracts	cataract	NOUN
ap-8679	78	11	into	into	ADP
ap-8679	78	12	four	four	NUM
ap-8679	78	13	classifications	classification	NOUN
ap-8679	78	14	,	,	PUNCT
ap-8679	78	15	the	the	DET
ap-8679	78	16	data	datum	NOUN
ap-8679	78	17	show	show	VERB
ap-8679	78	18	that	that	SCONJ
ap-8679	78	19	the	the	DET
ap-8679	78	20	proposed	propose	VERB
ap-8679	78	21	method	method	NOUN
ap-8679	78	22	performs	perform	VERB
ap-8679	78	23	better	well	ADJ
ap-8679	78	24	than	than	ADP
ap-8679	78	25	state	state	NOUN
ap-8679	78	26	-	-	PUNCT
ap-8679	78	27	ofthe	ofthe	NOUN
ap-8679	78	28	-	-	PUNCT
ap-8679	78	29	art	art	NOUN
ap-8679	78	30	methods	method	NOUN
ap-8679	78	31	,	,	PUNCT
ap-8679	78	32	showing	show	VERB
ap-8679	78	33	its	its	PRON
ap-8679	78	34	potential	potential	NOUN
ap-8679	78	35	for	for	ADP
ap-8679	78	36	use	use	NOUN
ap-8679	78	37	in	in	ADP
ap-8679	78	38	diagnosing	diagnose	VERB
ap-8679	78	39	other	other	ADJ
ap-8679	78	40	retinal	retinal	ADJ
ap-8679	78	41	diseases	disease	NOUN
ap-8679	78	42	.	.	PUNCT
ap-8679	79	1	a	a	DET
ap-8679	79	2	study	study	NOUN
ap-8679	79	3	[	[	X
ap-8679	79	4	24	24	NUM
ap-8679	79	5	]	]	PUNCT
ap-8679	79	6	suggests	suggest	VERB
ap-8679	79	7	a	a	DET
ap-8679	79	8	method	method	NOUN
ap-8679	79	9	using	use	VERB
ap-8679	79	10	the	the	DET
ap-8679	79	11	deep	deep	ADJ
ap-8679	79	12	belief	belief	NOUN
ap-8679	79	13	network	network	NOUN
ap-8679	79	14	(	(	PUNCT
ap-8679	79	15	dbn	dbn	PROPN
ap-8679	79	16	)	)	PUNCT
ap-8679	79	17	and	and	CCONJ
ap-8679	79	18	elephant	elephant	NOUN
ap-8679	79	19	husbandry	husbandry	NOUN
ap-8679	79	20	optimisation	optimisation	NOUN
ap-8679	79	21	(	(	PUNCT
ap-8679	79	22	eho	eho	NOUN
ap-8679	79	23	)	)	PUNCT
ap-8679	79	24	algorithm	algorithm	NOUN
ap-8679	79	25	to	to	PART
ap-8679	79	26	detect	detect	VERB
ap-8679	79	27	glaucoma	glaucoma	NOUN
ap-8679	79	28	from	from	ADP
ap-8679	79	29	fundus	fundus	NOUN
ap-8679	79	30	images	image	NOUN
ap-8679	79	31	.	.	PUNCT
ap-8679	80	1	the	the	DET
ap-8679	80	2	image	image	NOUN
ap-8679	80	3	is	be	AUX
ap-8679	80	4	first	first	ADV
ap-8679	80	5	pre	pre	ADJ
ap-8679	80	6	-	-	VERB
ap-8679	80	7	processed	processed	ADJ
ap-8679	80	8	,	,	PUNCT
ap-8679	80	9	then	then	ADV
ap-8679	80	10	the	the	DET
ap-8679	80	11	optic	optic	ADJ
ap-8679	80	12	disc	disc	NOUN
ap-8679	80	13	(	(	PUNCT
ap-8679	80	14	od	od	NOUN
ap-8679	80	15	)	)	PUNCT
ap-8679	80	16	and	and	CCONJ
ap-8679	80	17	optic	optic	ADJ
ap-8679	80	18	section	section	NOUN
ap-8679	80	19	(	(	PUNCT
ap-8679	80	20	oc	oc	NOUN
ap-8679	80	21	)	)	PUNCT
ap-8679	80	22	are	be	AUX
ap-8679	80	23	segmented	segment	VERB
ap-8679	80	24	,	,	PUNCT
ap-8679	80	25	and	and	CCONJ
ap-8679	80	26	finally	finally	ADV
ap-8679	80	27	structural	structural	ADJ
ap-8679	80	28	,	,	PUNCT
ap-8679	80	29	intensity	intensity	NOUN
ap-8679	80	30	,	,	PUNCT
ap-8679	80	31	and	and	CCONJ
ap-8679	80	32	texture	texture	NOUN
ap-8679	80	33	features	feature	NOUN
ap-8679	80	34	are	be	AUX
ap-8679	80	35	extracted	extract	VERB
ap-8679	80	36	.	.	PUNCT
ap-8679	81	1	the	the	DET
ap-8679	81	2	relieff	relieff	PROPN
ap-8679	81	3	algorithm	algorithm	PROPN
ap-8679	81	4	is	be	AUX
ap-8679	81	5	then	then	ADV
ap-8679	81	6	used	use	VERB
ap-8679	81	7	to	to	PART
ap-8679	81	8	choose	choose	VERB
ap-8679	81	9	the	the	DET
ap-8679	81	10	majority	majority	NOUN
ap-8679	81	11	of	of	ADP
ap-8679	81	12	the	the	DET
ap-8679	81	13	distinguishing	distinguish	VERB
ap-8679	81	14	characteristics	characteristic	NOUN
ap-8679	81	15	before	before	ADP
ap-8679	81	16	sending	send	VERB
ap-8679	81	17	them	they	PRON
ap-8679	81	18	to	to	ADP
ap-8679	81	19	the	the	DET
ap-8679	81	20	dbn	dbn	PROPN
ap-8679	81	21	for	for	ADP
ap-8679	81	22	glaucoma	glaucoma	NOUN
ap-8679	81	23	or	or	CCONJ
ap-8679	81	24	normal	normal	ADJ
ap-8679	81	25	classification	classification	NOUN
ap-8679	81	26	.	.	PUNCT
ap-8679	82	1	the	the	DET
ap-8679	82	2	eho	eho	NOUN
ap-8679	82	3	method	method	NOUN
ap-8679	82	4	enhances	enhance	VERB
ap-8679	82	5	the	the	DET
ap-8679	82	6	dbn	dbn	PROPN
ap-8679	82	7	’s	’s	PART
ap-8679	82	8	parameters	parameter	NOUN
ap-8679	82	9	in	in	ADP
ap-8679	82	10	order	order	NOUN
ap-8679	82	11	to	to	PART
ap-8679	82	12	increase	increase	VERB
ap-8679	82	13	its	its	PRON
ap-8679	82	14	classification	classification	NOUN
ap-8679	82	15	rate	rate	NOUN
ap-8679	82	16	.	.	PUNCT
ap-8679	83	1	the	the	DET
ap-8679	83	2	model	model	NOUN
ap-8679	83	3	was	be	AUX
ap-8679	83	4	evaluated	evaluate	VERB
ap-8679	83	5	using	use	VERB
ap-8679	83	6	7	7	NUM
ap-8679	83	7	280	280	NUM
ap-8679	83	8	images	image	NOUN
ap-8679	83	9	from	from	ADP
ap-8679	83	10	public	public	ADJ
ap-8679	83	11	and	and	CCONJ
ap-8679	83	12	private	private	ADJ
ap-8679	83	13	datasets	dataset	NOUN
ap-8679	83	14	,	,	PUNCT
ap-8679	83	15	and	and	CCONJ
ap-8679	83	16	it	it	PRON
ap-8679	83	17	was	be	AUX
ap-8679	83	18	able	able	ADJ
ap-8679	83	19	to	to	PART
ap-8679	83	20	classify	classify	VERB
ap-8679	83	21	the	the	DET
ap-8679	83	22	images	image	NOUN
ap-8679	83	23	with	with	ADP
ap-8679	83	24	an	an	DET
ap-8679	83	25	accuracy	accuracy	NOUN
ap-8679	83	26	of	of	ADP
ap-8679	83	27	up	up	ADP
ap-8679	83	28	to	to	PART
ap-8679	83	29	98.5	98.5	NUM
ap-8679	83	30	%	%	NOUN
ap-8679	83	31	.	.	PUNCT
ap-8679	84	1	because	because	SCONJ
ap-8679	84	2	each	each	DET
ap-8679	84	3	person	person	NOUN
ap-8679	84	4	’s	’s	PART
ap-8679	84	5	disc	disc	NOUN
ap-8679	84	6	optic	optic	NOUN
ap-8679	84	7	and	and	CCONJ
ap-8679	84	8	optic	optic	ADJ
ap-8679	84	9	cup	cup	NOUN
ap-8679	84	10	have	have	VERB
ap-8679	84	11	distinct	distinct	ADJ
ap-8679	84	12	features	feature	NOUN
ap-8679	84	13	(	(	PUNCT
ap-8679	84	14	form	form	NOUN
ap-8679	84	15	,	,	PUNCT
ap-8679	84	16	size	size	NOUN
ap-8679	84	17	,	,	PUNCT
ap-8679	84	18	etc	etc	X
ap-8679	84	19	.	.	X
ap-8679	84	20	)	)	PUNCT
ap-8679	84	21	,	,	PUNCT
ap-8679	84	22	the	the	DET
ap-8679	84	23	application	application	NOUN
ap-8679	84	24	of	of	ADP
ap-8679	84	25	cup	cup	NOUN
ap-8679	84	26	to	to	PART
ap-8679	84	27	disc	disc	NOUN
ap-8679	84	28	(	(	PUNCT
ap-8679	84	29	cdr	cdr	NOUN
ap-8679	84	30	)	)	PUNCT
ap-8679	84	31	and	and	CCONJ
ap-8679	84	32	disc	disc	VERB
ap-8679	84	33	damage	damage	NOUN
ap-8679	84	34	probability	probability	NOUN
ap-8679	84	35	scale	scale	NOUN
ap-8679	84	36	(	(	PUNCT
ap-8679	84	37	ddls	ddls	NOUN
ap-8679	84	38	)	)	PUNCT
ap-8679	84	39	in	in	ADP
ap-8679	84	40	the	the	DET
ap-8679	84	41	detection	detection	NOUN
ap-8679	84	42	of	of	ADP
ap-8679	84	43	glaucoma	glaucoma	NOUN
ap-8679	84	44	is	be	AUX
ap-8679	84	45	extremely	extremely	ADV
ap-8679	84	46	difficult	difficult	ADJ
ap-8679	84	47	.	.	PUNCT
ap-8679	85	1	prananda	prananda	INTJ
ap-8679	85	2	et	et	PROPN
ap-8679	85	3	al	al	PROPN
ap-8679	85	4	.	.	PUNCT
ap-8679	86	1	[	[	X
ap-8679	86	2	25	25	NUM
ap-8679	86	3	]	]	PUNCT
ap-8679	86	4	suggested	suggest	VERB
ap-8679	86	5	a	a	DET
ap-8679	86	6	different	different	ADJ
ap-8679	86	7	method	method	NOUN
ap-8679	86	8	to	to	PART
ap-8679	86	9	detect	detect	VERB
ap-8679	86	10	glaucoma	glaucoma	NOUN
ap-8679	86	11	disease	disease	NOUN
ap-8679	86	12	by	by	ADP
ap-8679	86	13	examining	examine	VERB
ap-8679	86	14	the	the	DET
ap-8679	86	15	damage	damage	NOUN
ap-8679	86	16	to	to	ADP
ap-8679	86	17	the	the	DET
ap-8679	86	18	retinal	retinal	ADJ
ap-8679	86	19	nerve	nerve	NOUN
ap-8679	86	20	fiber	fiber	NOUN
ap-8679	86	21	layer	layer	NOUN
ap-8679	86	22	to	to	PART
ap-8679	86	23	get	get	VERB
ap-8679	86	24	around	around	ADP
ap-8679	86	25	this	this	DET
ap-8679	86	26	issue	issue	NOUN
ap-8679	86	27	(	(	PUNCT
ap-8679	86	28	rnfl	rnfl	NOUN
ap-8679	86	29	)	)	PUNCT
ap-8679	86	30	.	.	PUNCT
ap-8679	87	1	the	the	DET
ap-8679	87	2	pretreatment	pretreatment	NOUN
ap-8679	87	3	procedure	procedure	NOUN
ap-8679	87	4	(	(	PUNCT
ap-8679	87	5	removal	removal	NOUN
ap-8679	87	6	of	of	ADP
ap-8679	87	7	optic	optic	ADJ
ap-8679	87	8	discs	disc	NOUN
ap-8679	87	9	and	and	CCONJ
ap-8679	87	10	blood	blood	NOUN
ap-8679	87	11	vessels	vessel	NOUN
ap-8679	87	12	)	)	PUNCT
ap-8679	87	13	and	and	CCONJ
ap-8679	87	14	the	the	DET
ap-8679	87	15	glaucoma	glaucoma	NOUN
ap-8679	87	16	categorization	categorization	NOUN
ap-8679	87	17	procedure	procedure	NOUN
ap-8679	87	18	are	be	AUX
ap-8679	87	19	the	the	DET
ap-8679	87	20	two	two	NUM
ap-8679	87	21	steps	step	NOUN
ap-8679	87	22	of	of	ADP
ap-8679	87	23	the	the	DET
ap-8679	87	24	suggested	suggest	VERB
ap-8679	87	25	method	method	NOUN
ap-8679	87	26	.	.	PUNCT
ap-8679	88	1	the	the	DET
ap-8679	88	2	author	author	NOUN
ap-8679	88	3	applied	apply	VERB
ap-8679	88	4	nine	nine	NUM
ap-8679	88	5	deep	deep	ADJ
ap-8679	88	6	learning	learning	NOUN
ap-8679	88	7	architectures	architecture	NOUN
ap-8679	88	8	for	for	ADP
ap-8679	88	9	the	the	DET
ap-8679	88	10	latter	latter	ADJ
ap-8679	88	11	.	.	PUNCT
ap-8679	89	1	on	on	ADP
ap-8679	89	2	the	the	DET
ap-8679	89	3	origa	origa	PROPN
ap-8679	89	4	dataset	dataset	PROPN
ap-8679	89	5	,	,	PUNCT
ap-8679	89	6	the	the	DET
ap-8679	89	7	highest	high	ADJ
ap-8679	89	8	rate	rate	NOUN
ap-8679	89	9	was	be	AUX
ap-8679	89	10	found	find	VERB
ap-8679	89	11	to	to	PART
ap-8679	89	12	be	be	AUX
ap-8679	89	13	92.88	92.88	NUM
ap-8679	89	14	%	%	NOUN
ap-8679	89	15	with	with	ADP
ap-8679	89	16	an	an	DET
ap-8679	89	17	auc	auc	NOUN
ap-8679	89	18	of	of	ADP
ap-8679	89	19	89.34	89.34	NUM
ap-8679	89	20	%	%	NOUN
ap-8679	89	21	.	.	PUNCT
ap-8679	90	1	a	a	DET
ap-8679	90	2	machine	machine	NOUN
ap-8679	90	3	learning	learning	NOUN
ap-8679	90	4	method	method	NOUN
ap-8679	90	5	(	(	PUNCT
ap-8679	90	6	mls	mls	PROPN
ap-8679	90	7	)	)	PUNCT
ap-8679	90	8	to	to	PART
ap-8679	90	9	detect	detect	VERB
ap-8679	90	10	amd	amd	NOUN
ap-8679	90	11	using	use	VERB
ap-8679	90	12	retinal	retinal	ADJ
ap-8679	90	13	fundus	fundus	NOUN
ap-8679	90	14	images	image	NOUN
ap-8679	90	15	is	be	AUX
ap-8679	90	16	put	put	VERB
ap-8679	90	17	forth	forth	ADP
ap-8679	90	18	in	in	ADP
ap-8679	90	19	this	this	DET
ap-8679	90	20	paper	paper	NOUN
ap-8679	91	1	[	[	X
ap-8679	91	2	26	26	NUM
ap-8679	91	3	]	]	PUNCT
ap-8679	91	4	.	.	PUNCT
ap-8679	92	1	the	the	DET
ap-8679	92	2	several	several	ADJ
ap-8679	92	3	mls	mls	NOUN
ap-8679	92	4	phases	phase	NOUN
ap-8679	92	5	that	that	PRON
ap-8679	92	6	were	be	AUX
ap-8679	92	7	applied	apply	VERB
ap-8679	92	8	in	in	ADP
ap-8679	92	9	the	the	DET
ap-8679	92	10	proposed	propose	VERB
ap-8679	92	11	works	work	NOUN
ap-8679	92	12	include	include	VERB
ap-8679	92	13	feature	feature	NOUN
ap-8679	92	14	extraction	extraction	NOUN
ap-8679	92	15	and	and	CCONJ
ap-8679	92	16	selection	selection	NOUN
ap-8679	92	17	using	use	VERB
ap-8679	92	18	a	a	DET
ap-8679	92	19	statistical	statistical	ADJ
ap-8679	92	20	test	test	NOUN
ap-8679	92	21	,	,	PUNCT
ap-8679	92	22	implementation	implementation	NOUN
ap-8679	92	23	and	and	CCONJ
ap-8679	92	24	validation	validation	NOUN
ap-8679	92	25	of	of	ADP
ap-8679	92	26	the	the	DET
ap-8679	92	27	classifier	classifier	NOUN
ap-8679	92	28	,	,	PUNCT
ap-8679	92	29	and	and	CCONJ
ap-8679	92	30	image	image	NOUN
ap-8679	92	31	threshold	threshold	NOUN
ap-8679	92	32	dependent	dependent	ADJ
ap-8679	92	33	on	on	ADP
ap-8679	92	34	shannon	shannon	PROPN
ap-8679	92	35	entropy	entropy	PROPN
ap-8679	92	36	and	and	CCONJ
ap-8679	92	37	the	the	DET
ap-8679	92	38	bat	bat	NOUN
ap-8679	92	39	algorithm	algorithm	NOUN
ap-8679	92	40	(	(	PUNCT
ap-8679	92	41	ba+	ba+	ADV
ap-8679	92	42	se	se	X
ap-8679	92	43	)	)	PUNCT
ap-8679	92	44	.	.	PUNCT
ap-8679	93	1	based	base	VERB
ap-8679	93	2	on	on	ADP
ap-8679	93	3	image	image	NOUN
ap-8679	93	4	properties	property	NOUN
ap-8679	93	5	like	like	ADP
ap-8679	93	6	the	the	DET
ap-8679	93	7	grey	grey	ADJ
ap-8679	93	8	level	level	NOUN
ap-8679	93	9	co	co	NOUN
ap-8679	93	10	-	-	NOUN
ap-8679	93	11	occurrence	occurrence	ADJ
ap-8679	93	12	matrix	matrix	NOUN
ap-8679	93	13	and	and	CCONJ
ap-8679	93	14	entropies	entropy	NOUN
ap-8679	93	15	,	,	PUNCT
ap-8679	93	16	the	the	DET
ap-8679	93	17	retinal	retinal	ADJ
ap-8679	93	18	image	image	NOUN
ap-8679	93	19	dataset	dataset	NOUN
ap-8679	93	20	is	be	AUX
ap-8679	93	21	divided	divide	VERB
ap-8679	93	22	into	into	ADP
ap-8679	93	23	two	two	NUM
ap-8679	93	24	different	different	ADJ
ap-8679	93	25	labels	label	NOUN
ap-8679	93	26	,	,	PUNCT
ap-8679	93	27	amd	amd	ADJ
ap-8679	93	28	and	and	CCONJ
ap-8679	93	29	non	non	ADJ
ap-8679	93	30	-	-	ADJ
ap-8679	93	31	amd	amd	ADJ
ap-8679	93	32	.	.	PUNCT
ap-8679	94	1	a	a	DET
ap-8679	94	2	comparison	comparison	NOUN
ap-8679	94	3	of	of	ADP
ap-8679	94	4	the	the	DET
ap-8679	94	5	effectiveness	effectiveness	NOUN
ap-8679	94	6	of	of	ADP
ap-8679	94	7	various	various	ADJ
ap-8679	94	8	classifiers	classifier	NOUN
ap-8679	94	9	,	,	PUNCT
ap-8679	94	10	including	include	VERB
ap-8679	94	11	naive	naive	ADJ
ap-8679	94	12	-	-	PUNCT
ap-8679	94	13	bayes	bayes	NOUN
ap-8679	94	14	(	(	PUNCT
ap-8679	94	15	nb	nb	NOUN
ap-8679	94	16	)	)	PUNCT
ap-8679	94	17	,	,	PUNCT
ap-8679	94	18	decision	decision	NOUN
ap-8679	94	19	tree	tree	NOUN
ap-8679	94	20	(	(	PUNCT
ap-8679	94	21	dt	dt	PROPN
ap-8679	94	22	)	)	PUNCT
ap-8679	94	23	,	,	PUNCT
ap-8679	94	24	k	k	X
ap-8679	94	25	-	-	PUNCT
ap-8679	94	26	nearest	near	ADJ
ap-8679	94	27	neighbors	neighbor	NOUN
ap-8679	94	28	,	,	PUNCT
ap-8679	94	29	random	random	ADJ
ap-8679	94	30	forest	forest	NOUN
ap-8679	94	31	(	(	PUNCT
ap-8679	94	32	rf	rf	NOUN
ap-8679	94	33	)	)	PUNCT
ap-8679	94	34	,	,	PUNCT
ap-8679	94	35	and	and	CCONJ
ap-8679	94	36	support	support	NOUN
ap-8679	94	37	-	-	PUNCT
ap-8679	94	38	vector	vector	NOUN
ap-8679	94	39	-	-	PUNCT
ap-8679	94	40	linear	linear	ADJ
ap-8679	94	41	kernel	kernel	NOUN
ap-8679	94	42	machine	machine	NOUN
ap-8679	94	43	(	(	PUNCT
ap-8679	94	44	svm	svm	PROPN
ap-8679	94	45	)	)	PUNCT
ap-8679	94	46	,	,	PUNCT
ap-8679	94	47	reveals	reveal	VERB
ap-8679	94	48	that	that	SCONJ
ap-8679	94	49	svm	svm	PROPN
ap-8679	94	50	has	have	VERB
ap-8679	94	51	a	a	DET
ap-8679	94	52	greater	great	ADJ
ap-8679	94	53	classification	classification	NOUN
ap-8679	94	54	accuracy	accuracy	NOUN
ap-8679	94	55	(	(	PUNCT
ap-8679	94	56	>	>	SYM
ap-8679	94	57	93	93	NUM
ap-8679	94	58	%	%	NOUN
ap-8679	94	59	)	)	PUNCT
ap-8679	94	60	than	than	ADP
ap-8679	94	61	the	the	DET
ap-8679	94	62	other	other	ADJ
ap-8679	94	63	classifiers	classifier	NOUN
ap-8679	94	64	.	.	PUNCT
ap-8679	95	1	the	the	DET
ap-8679	95	2	idea	idea	NOUN
ap-8679	95	3	of	of	ADP
ap-8679	95	4	[	[	X
ap-8679	95	5	27	27	NUM
ap-8679	95	6	]	]	PUNCT
ap-8679	95	7	was	be	AUX
ap-8679	95	8	to	to	PART
ap-8679	95	9	use	use	VERB
ap-8679	95	10	fundus	fundus	NOUN
ap-8679	95	11	autofluorescence	autofluorescence	NOUN
ap-8679	95	12	(	(	PUNCT
ap-8679	95	13	faf	faf	NOUN
ap-8679	95	14	)	)	PUNCT
ap-8679	95	15	images	image	NOUN
ap-8679	95	16	to	to	PART
ap-8679	95	17	automatically	automatically	ADV
ap-8679	95	18	classify	classify	VERB
ap-8679	95	19	different	different	ADJ
ap-8679	95	20	inherited	inherit	VERB
ap-8679	95	21	retinal	retinal	ADJ
ap-8679	95	22	disorders	disorder	NOUN
ap-8679	95	23	(	(	PUNCT
ap-8679	95	24	irds	ird	NOUN
ap-8679	95	25	)	)	PUNCT
ap-8679	95	26	using	use	VERB
ap-8679	95	27	a	a	DET
ap-8679	95	28	deep	deep	ADJ
ap-8679	95	29	learning	learning	NOUN
ap-8679	95	30	system	system	NOUN
ap-8679	95	31	.	.	PUNCT
ap-8679	96	1	faf	faf	VERB
ap-8679	96	2	images	image	NOUN
ap-8679	96	3	of	of	ADP
ap-8679	96	4	individuals	individual	NOUN
ap-8679	96	5	with	with	ADP
ap-8679	96	6	retinitis	retinitis	ADJ
ap-8679	96	7	pigmentosa	pigmentosa	NOUN
ap-8679	96	8	(	(	PUNCT
ap-8679	96	9	rp	rp	NOUN
ap-8679	96	10	)	)	PUNCT
ap-8679	96	11	,	,	PUNCT
ap-8679	96	12	best	good	ADJ
ap-8679	96	13	’s	’s	PART
ap-8679	96	14	disease	disease	NOUN
ap-8679	96	15	(	(	PUNCT
ap-8679	96	16	bd	bd	PROPN
ap-8679	96	17	)	)	PUNCT
ap-8679	96	18	,	,	PUNCT
ap-8679	96	19	and	and	CCONJ
ap-8679	96	20	stargardt	stargardt	PROPN
ap-8679	96	21	’s	’s	PART
ap-8679	96	22	disease	disease	NOUN
ap-8679	96	23	(	(	PUNCT
ap-8679	96	24	stgd	stgd	PROPN
ap-8679	96	25	)	)	PUNCT
ap-8679	96	26	,	,	PUNCT
ap-8679	96	27	as	as	ADV
ap-8679	96	28	well	well	ADV
ap-8679	96	29	as	as	ADP
ap-8679	96	30	a	a	DET
ap-8679	96	31	healthy	healthy	ADJ
ap-8679	96	32	similar	similar	ADJ
ap-8679	96	33	group	group	NOUN
ap-8679	96	34	,	,	PUNCT
ap-8679	96	35	were	be	AUX
ap-8679	96	36	used	use	VERB
ap-8679	96	37	to	to	PART
ap-8679	96	38	train	train	VERB
ap-8679	96	39	a	a	DET
ap-8679	96	40	neural	neural	ADJ
ap-8679	96	41	network	network	NOUN
ap-8679	96	42	multilayer	multilayer	ADJ
ap-8679	96	43	deep	deep	ADJ
ap-8679	96	44	convolution	convolution	NOUN
ap-8679	96	45	(	(	PUNCT
ap-8679	96	46	cnn	cnn	PROPN
ap-8679	96	47	)	)	PUNCT
ap-8679	96	48	based	base	VERB
ap-8679	96	49	on	on	ADP
ap-8679	96	50	389	389	NUM
ap-8679	96	51	faf	faf	NOUN
ap-8679	96	52	images	image	NOUN
ap-8679	96	53	.	.	PUNCT
ap-8679	97	1	adam	adam	PROPN
ap-8679	97	2	optimiser	optimiser	PROPN
ap-8679	97	3	and	and	CCONJ
ap-8679	97	4	data	datum	NOUN
ap-8679	97	5	augmentation	augmentation	NOUN
ap-8679	97	6	techniques	technique	NOUN
ap-8679	97	7	were	be	AUX
ap-8679	97	8	used	use	VERB
ap-8679	97	9	for	for	ADP
ap-8679	97	10	training	training	NOUN
ap-8679	97	11	.	.	PUNCT
ap-8679	98	1	the	the	DET
ap-8679	98	2	results	result	NOUN
ap-8679	98	3	of	of	ADP
ap-8679	98	4	testing	test	VERB
ap-8679	98	5	the	the	DET
ap-8679	98	6	generated	generate	VERB
ap-8679	98	7	classifiers	classifier	NOUN
ap-8679	98	8	revealed	reveal	VERB
ap-8679	98	9	an	an	DET
ap-8679	98	10	overall	overall	ADJ
ap-8679	98	11	accuracy	accuracy	NOUN
ap-8679	98	12	of	of	ADP
ap-8679	98	13	0.95	0.95	NUM
ap-8679	98	14	.	.	PUNCT
ap-8679	99	1	3	3	X
ap-8679	99	2	.	.	X
ap-8679	99	3	description	description	NOUN
ap-8679	99	4	of	of	ADP
ap-8679	99	5	the	the	DET
ap-8679	99	6	dataset	dataset	NOUN
ap-8679	99	7	and	and	CCONJ
ap-8679	99	8	data	datum	NOUN
ap-8679	99	9	augmentation	augmentation	NOUN
ap-8679	99	10	the	the	DET
ap-8679	99	11	dataset	dataset	NOUN
ap-8679	99	12	contains	contain	VERB
ap-8679	99	13	images	image	NOUN
ap-8679	99	14	of	of	ADP
ap-8679	99	15	the	the	DET
ap-8679	99	16	retina	retina	NOUN
ap-8679	99	17	affected	affect	VERB
ap-8679	99	18	by	by	ADP
ap-8679	99	19	diabetic	diabetic	ADJ
ap-8679	99	20	retinopathy	retinopathy	ADJ
ap-8679	99	21	,	,	PUNCT
ap-8679	99	22	cataract	cataract	NOUN
ap-8679	99	23	,	,	PUNCT
ap-8679	99	24	and	and	CCONJ
ap-8679	99	25	glaucoma	glaucoma	NOUN
ap-8679	99	26	pathologies	pathology	NOUN
ap-8679	99	27	;	;	PUNCT
ap-8679	99	28	in	in	ADP
ap-8679	99	29	addition	addition	NOUN
ap-8679	99	30	to	to	ADP
ap-8679	99	31	healthy	healthy	ADJ
ap-8679	99	32	patients	patient	NOUN
ap-8679	99	33	,	,	PUNCT
ap-8679	99	34	each	each	DET
ap-8679	99	35	class	class	NOUN
ap-8679	99	36	has	have	VERB
ap-8679	99	37	roughly	roughly	ADV
ap-8679	99	38	1	1	NUM
ap-8679	99	39	000	000	NUM
ap-8679	99	40	images	image	NOUN
ap-8679	99	41	.	.	PUNCT
ap-8679	100	1	the	the	DET
ap-8679	100	2	images	image	NOUN
ap-8679	100	3	represent	represent	VERB
ap-8679	100	4	right	right	ADV
ap-8679	100	5	and	and	CCONJ
ap-8679	100	6	left	leave	VERB
ap-8679	100	7	eye	eye	NOUN
ap-8679	100	8	fundus	fundus	NOUN
ap-8679	100	9	photographs	photograph	NOUN
ap-8679	100	10	showing	show	VERB
ap-8679	100	11	abnormalities	abnormality	NOUN
ap-8679	100	12	due	due	ADJ
ap-8679	100	13	to	to	ADP
ap-8679	100	14	various	various	ADJ
ap-8679	100	15	ophthalmological	ophthalmological	ADJ
ap-8679	100	16	diseases	disease	NOUN
ap-8679	100	17	(	(	PUNCT
ap-8679	100	18	see	see	VERB
ap-8679	100	19	figure	figure	NOUN
ap-8679	100	20	1	1	NUM
ap-8679	100	21	)	)	PUNCT
ap-8679	100	22	.	.	PUNCT
ap-8679	101	1	the	the	DET
ap-8679	101	2	dataset	dataset	NOUN
ap-8679	101	3	employed	employ	VERB
ap-8679	101	4	integrates	integrate	NOUN
ap-8679	101	5	images	image	NOUN
ap-8679	101	6	from	from	ADP
ap-8679	101	7	diverse	diverse	ADJ
ap-8679	101	8	reference	reference	NOUN
ap-8679	101	9	datasets	dataset	NOUN
ap-8679	101	10	,	,	PUNCT
ap-8679	101	11	encompassing	encompass	VERB
ap-8679	101	12	idrid	idrid	NOUN
ap-8679	101	13	,	,	PUNCT
ap-8679	101	14	ocular	ocular	ADJ
ap-8679	101	15	recognition	recognition	NOUN
ap-8679	101	16	,	,	PUNCT
ap-8679	101	17	hrf	hrf	PROPN
ap-8679	101	18	,	,	PUNCT
ap-8679	101	19	retinal	retinal	ADJ
ap-8679	101	20	dataset	dataset	NOUN
ap-8679	101	21	and	and	CCONJ
ap-8679	101	22	drive	drive	NOUN
ap-8679	101	23	.	.	PUNCT
ap-8679	102	1	the	the	DET
ap-8679	102	2	objective	objective	NOUN
ap-8679	102	3	in	in	ADP
ap-8679	102	4	merging	merge	VERB
ap-8679	102	5	samples	sample	NOUN
ap-8679	102	6	from	from	ADP
ap-8679	102	7	each	each	DET
ap-8679	102	8	dataset	dataset	NOUN
ap-8679	102	9	is	be	AUX
ap-8679	102	10	to	to	PART
ap-8679	102	11	enrich	enrich	VERB
ap-8679	102	12	data	datum	NOUN
ap-8679	102	13	diversity	diversity	NOUN
ap-8679	102	14	,	,	PUNCT
ap-8679	102	15	allowing	allow	VERB
ap-8679	102	16	the	the	DET
ap-8679	102	17	model	model	NOUN
ap-8679	102	18	to	to	PART
ap-8679	102	19	effectively	effectively	ADV
ap-8679	102	20	generalise	generalise	VERB
ap-8679	102	21	across	across	ADP
ap-8679	102	22	various	various	ADJ
ap-8679	102	23	scenarios	scenario	NOUN
ap-8679	102	24	in	in	ADP
ap-8679	102	25	classification	classification	NOUN
ap-8679	102	26	tasks	task	NOUN
ap-8679	102	27	,	,	PUNCT
ap-8679	102	28	adapt	adapt	VERB
ap-8679	102	29	to	to	ADP
ap-8679	102	30	diverse	diverse	ADJ
ap-8679	102	31	conditions	condition	NOUN
ap-8679	102	32	,	,	PUNCT
ap-8679	102	33	and	and	CCONJ
ap-8679	102	34	ensure	ensure	VERB
ap-8679	102	35	a	a	DET
ap-8679	102	36	balanced	balanced	ADJ
ap-8679	102	37	representation	representation	NOUN
ap-8679	102	38	of	of	ADP
ap-8679	102	39	classes	class	NOUN
ap-8679	102	40	,	,	PUNCT
ap-8679	102	41	thus	thus	ADV
ap-8679	102	42	mitigating	mitigate	VERB
ap-8679	102	43	training	training	NOUN
ap-8679	102	44	data	datum	NOUN
ap-8679	102	45	imbalance	imbalance	NOUN
ap-8679	102	46	.	.	PUNCT
ap-8679	103	1	the	the	DET
ap-8679	103	2	dataset	dataset	NOUN
ap-8679	103	3	is	be	AUX
ap-8679	103	4	available	available	ADJ
ap-8679	103	5	for	for	ADP
ap-8679	103	6	free	free	ADJ
ap-8679	103	7	online	online	ADV
ap-8679	103	8	on	on	ADP
ap-8679	103	9	kaggle	kaggle	PROPN
ap-8679	103	10	:	:	PUNCT
ap-8679	103	11	(	(	PUNCT
ap-8679	103	12	https	https	NOUN
ap-8679	103	13	:	:	PUNCT
ap-8679	103	14	//www.kaggle.com	//www.kaggle.com	PUNCT
ap-8679	103	15	/	/	SYM
ap-8679	103	16	datasets/\gunavenkatdoddi/	datasets/\gunavenkatdoddi/	NOUN
ap-8679	103	17	eye	eye	NOUN
ap-8679	103	18	-	-	PUNCT
ap-8679	103	19	diseases	disease	NOUN
ap-8679	103	20	-	-	PUNCT
ap-8679	103	21	classification	classification	NOUN
ap-8679	103	22	)	)	PUNCT
ap-8679	103	23	.	.	PUNCT
ap-8679	104	1	(	(	PUNCT
ap-8679	104	2	a	a	X
ap-8679	104	3	)	)	PUNCT
ap-8679	104	4	.	.	PUNCT
ap-8679	105	1	(	(	PUNCT
ap-8679	105	2	b	b	NOUN
ap-8679	105	3	)	)	PUNCT
ap-8679	105	4	.	.	PUNCT
ap-8679	106	1	(	(	PUNCT
ap-8679	106	2	c	c	NOUN
ap-8679	106	3	)	)	PUNCT
ap-8679	106	4	.	.	PUNCT
ap-8679	107	1	(	(	PUNCT
ap-8679	107	2	d	d	NOUN
ap-8679	107	3	)	)	PUNCT
ap-8679	107	4	.	.	PUNCT
ap-8679	108	1	figure	figure	NOUN
ap-8679	108	2	1	1	NUM
ap-8679	108	3	.	.	PUNCT
ap-8679	109	1	(	(	PUNCT
ap-8679	109	2	a	a	X
ap-8679	109	3	)	)	PUNCT
ap-8679	109	4	cataract	cataract	NOUN
ap-8679	109	5	;	;	PUNCT
ap-8679	109	6	(	(	PUNCT
ap-8679	109	7	b	b	X
ap-8679	109	8	)	)	PUNCT
ap-8679	109	9	diabetic	diabetic	ADJ
ap-8679	109	10	retinopathy	retinopathy	NOUN
ap-8679	109	11	;	;	PUNCT
ap-8679	109	12	(	(	PUNCT
ap-8679	109	13	c	c	X
ap-8679	109	14	)	)	PUNCT
ap-8679	109	15	glaucoma	glaucoma	NOUN
ap-8679	109	16	;	;	PUNCT
ap-8679	109	17	(	(	PUNCT
ap-8679	109	18	d	d	X
ap-8679	109	19	)	)	PUNCT
ap-8679	109	20	normal	normal	ADJ
ap-8679	109	21	eye	eye	NOUN
ap-8679	109	22	fundus	fundus	NOUN
ap-8679	109	23	.	.	PUNCT
ap-8679	110	1	details	detail	NOUN
ap-8679	110	2	about	about	ADP
ap-8679	110	3	the	the	DET
ap-8679	110	4	images	image	NOUN
ap-8679	110	5	from	from	ADP
ap-8679	110	6	the	the	DET
ap-8679	110	7	used	use	VERB
ap-8679	110	8	datasets	dataset	NOUN
ap-8679	110	9	are	be	AUX
ap-8679	110	10	shown	show	VERB
ap-8679	110	11	in	in	ADP
ap-8679	110	12	table	table	NOUN
ap-8679	110	13	1	1	NUM
ap-8679	110	14	.	.	PUNCT
ap-8679	111	1	samples	sample	NOUN
ap-8679	111	2	of	of	ADP
ap-8679	111	3	the	the	DET
ap-8679	111	4	fundus	fundus	NOUN
ap-8679	111	5	images	image	NOUN
ap-8679	111	6	are	be	AUX
ap-8679	111	7	shown	show	VERB
ap-8679	111	8	in	in	ADP
ap-8679	111	9	figure	figure	NOUN
ap-8679	111	10	1	1	NUM
ap-8679	111	11	.	.	PUNCT
ap-8679	112	1	the	the	DET
ap-8679	112	2	training	training	NOUN
ap-8679	112	3	was	be	AUX
ap-8679	112	4	carried	carry	VERB
ap-8679	112	5	out	out	ADP
ap-8679	112	6	using	use	VERB
ap-8679	112	7	matlab	matlab	PROPN
ap-8679	112	8	2021	2021	NUM
ap-8679	112	9	installed	instal	VERB
ap-8679	112	10	on	on	ADP
ap-8679	112	11	a	a	DET
ap-8679	112	12	workstation	workstation	NOUN
ap-8679	112	13	with	with	ADP
ap-8679	112	14	windows	window	NOUN
ap-8679	112	15	10	10	NUM
ap-8679	112	16	pro	pro	ADJ
ap-8679	112	17	,	,	PUNCT
ap-8679	112	18	a	a	DET
ap-8679	112	19	3	3	NUM
ap-8679	112	20	https://www.kaggle.com/datasets/\gunavenkatdoddi/eye-diseases-classification	https://www.kaggle.com/datasets/\gunavenkatdoddi/eye-diseases-classification	NOUN
ap-8679	112	21	https://www.kaggle.com/datasets/\gunavenkatdoddi/eye-diseases-classification	https://www.kaggle.com/datasets/\gunavenkatdoddi/eye-diseases-classification	NOUN
ap-8679	112	22	https://www.kaggle.com/datasets/\gunavenkatdoddi/eye-diseases-classification	https://www.kaggle.com/datasets/\gunavenkatdoddi/eye-diseases-classification	NOUN
ap-8679	112	23	s.	s.	PROPN
ap-8679	112	24	benbakreti	benbakreti	PROPN
ap-8679	112	25	,	,	PUNCT
ap-8679	112	26	s.	s.	PROPN
ap-8679	112	27	benbakreti	benbakreti	PROPN
ap-8679	112	28	,	,	PUNCT
ap-8679	112	29	u.	u.	PROPN
ap-8679	112	30	ozkaya	ozkaya	PROPN
ap-8679	112	31	acta	acta	PROPN
ap-8679	112	32	polytechnica	polytechnica	PROPN
ap-8679	112	33	diseases	disease	NOUN
ap-8679	112	34	number	number	NOUN
ap-8679	112	35	of	of	ADP
ap-8679	112	36	images	image	NOUN
ap-8679	112	37	cataract	cataract	VERB
ap-8679	112	38	1	1	NUM
ap-8679	112	39	038	038	NUM
ap-8679	112	40	diabetic	diabetic	ADJ
ap-8679	112	41	retinopathy	retinopathy	ADJ
ap-8679	112	42	1	1	NUM
ap-8679	112	43	098	098	NUM
ap-8679	112	44	glaucoma	glaucoma	NOUN
ap-8679	112	45	1	1	NUM
ap-8679	112	46	007	007	NUM
ap-8679	112	47	normal	normal	ADJ
ap-8679	112	48	eye	eye	NOUN
ap-8679	112	49	1	1	NUM
ap-8679	112	50	074	074	NUM
ap-8679	112	51	total	total	ADJ
ap-8679	112	52	images	image	NOUN
ap-8679	112	53	4	4	NUM
ap-8679	112	54	217	217	NUM
ap-8679	112	55	table	table	NOUN
ap-8679	112	56	1	1	NUM
ap-8679	112	57	.	.	PUNCT
ap-8679	112	58	description	description	NOUN
ap-8679	112	59	of	of	ADP
ap-8679	112	60	the	the	DET
ap-8679	112	61	dataset	dataset	NOUN
ap-8679	112	62	.	.	PUNCT
ap-8679	113	1	64	64	NUM
ap-8679	113	2	-	-	PUNCT
ap-8679	113	3	bit	bit	NOUN
ap-8679	113	4	operating	operate	VERB
ap-8679	113	5	system	system	NOUN
ap-8679	113	6	,	,	PUNCT
ap-8679	113	7	24	24	NUM
ap-8679	113	8	gb	gb	NOUN
ap-8679	113	9	of	of	ADP
ap-8679	113	10	random	random	ADJ
ap-8679	113	11	access	access	NOUN
ap-8679	113	12	memory	memory	NOUN
ap-8679	113	13	(	(	PUNCT
ap-8679	113	14	ram	ram	NOUN
ap-8679	113	15	)	)	PUNCT
ap-8679	113	16	,	,	PUNCT
ap-8679	113	17	intel(r	intel(r	PROPN
ap-8679	113	18	)	)	PUNCT
ap-8679	113	19	xeon(r	xeon(r	PROPN
ap-8679	113	20	)	)	PUNCT
ap-8679	113	21	cpu	cpu	NOUN
ap-8679	113	22	e5	e5	PROPN
ap-8679	113	23	-	-	PUNCT
ap-8679	113	24	2620	2620	NUM
ap-8679	113	25	v3	v3	PROPN
ap-8679	113	26	@	@	ADP
ap-8679	113	27	2.40	2.40	NUM
ap-8679	113	28	ghz	ghz	NOUN
ap-8679	113	29	and	and	CCONJ
ap-8679	113	30	graphics	graphic	NOUN
ap-8679	113	31	processing	processing	NOUN
ap-8679	113	32	unit	unit	NOUN
ap-8679	113	33	(	(	PUNCT
ap-8679	113	34	gpu	gpu	PROPN
ap-8679	113	35	)	)	PUNCT
ap-8679	113	36	.	.	PUNCT
ap-8679	114	1	20	20	NUM
ap-8679	114	2	%	%	NOUN
ap-8679	114	3	of	of	ADP
ap-8679	114	4	the	the	DET
ap-8679	114	5	datasets	dataset	NOUN
ap-8679	114	6	is	be	AUX
ap-8679	114	7	used	use	VERB
ap-8679	114	8	for	for	ADP
ap-8679	114	9	testing	testing	NOUN
ap-8679	114	10	,	,	PUNCT
ap-8679	114	11	while	while	SCONJ
ap-8679	114	12	80	80	NUM
ap-8679	114	13	%	%	NOUN
ap-8679	114	14	is	be	AUX
ap-8679	114	15	used	use	VERB
ap-8679	114	16	for	for	ADP
ap-8679	114	17	training	training	NOUN
ap-8679	114	18	.	.	PUNCT
ap-8679	115	1	additionally	additionally	ADV
ap-8679	115	2	,	,	PUNCT
ap-8679	115	3	we	we	PRON
ap-8679	115	4	used	use	VERB
ap-8679	115	5	a	a	DET
ap-8679	115	6	reflection	reflection	NOUN
ap-8679	115	7	-	-	PUNCT
ap-8679	115	8	based	base	VERB
ap-8679	115	9	data	data	NOUN
ap-8679	115	10	augmentation	augmentation	NOUN
ap-8679	115	11	technique	technique	NOUN
ap-8679	115	12	(	(	PUNCT
ap-8679	115	13	mirror	mirror	NOUN
ap-8679	115	14	effect	effect	NOUN
ap-8679	115	15	)	)	PUNCT
ap-8679	115	16	for	for	ADP
ap-8679	115	17	the	the	DET
ap-8679	115	18	sake	sake	NOUN
ap-8679	115	19	of	of	ADP
ap-8679	115	20	preventing	prevent	VERB
ap-8679	115	21	overfitting	overfitting	NOUN
ap-8679	115	22	.	.	PUNCT
ap-8679	116	1	in	in	ADP
ap-8679	116	2	fact	fact	NOUN
ap-8679	116	3	,	,	PUNCT
ap-8679	116	4	by	by	ADP
ap-8679	116	5	using	use	VERB
ap-8679	116	6	the	the	DET
ap-8679	116	7	reflection	reflection	NOUN
ap-8679	116	8	effect	effect	NOUN
ap-8679	116	9	and	and	CCONJ
ap-8679	116	10	keeping	keep	VERB
ap-8679	116	11	the	the	DET
ap-8679	116	12	labels	label	NOUN
ap-8679	116	13	,	,	PUNCT
ap-8679	116	14	we	we	PRON
ap-8679	116	15	increased	increase	VERB
ap-8679	116	16	the	the	DET
ap-8679	116	17	quantity	quantity	NOUN
ap-8679	116	18	of	of	ADP
ap-8679	116	19	images	image	NOUN
ap-8679	116	20	intended	intend	VERB
ap-8679	116	21	for	for	ADP
ap-8679	116	22	training	training	NOUN
ap-8679	116	23	.	.	PUNCT
ap-8679	117	1	the	the	DET
ap-8679	117	2	two	two	NUM
ap-8679	117	3	procedures	procedure	NOUN
ap-8679	117	4	are	be	AUX
ap-8679	117	5	as	as	SCONJ
ap-8679	117	6	follows	follow	VERB
ap-8679	117	7	:	:	PUNCT
ap-8679	117	8	•	•	NUM
ap-8679	117	9	vertical	vertical	ADJ
ap-8679	117	10	mirror	mirror	NOUN
ap-8679	117	11	image	image	NOUN
ap-8679	117	12	:	:	PUNCT
ap-8679	117	13	the	the	DET
ap-8679	117	14	original	original	ADJ
ap-8679	117	15	x	x	X
ap-8679	117	16	and	and	CCONJ
ap-8679	117	17	y	y	PROPN
ap-8679	117	18	coordinates	coordinate	NOUN
ap-8679	117	19	of	of	ADP
ap-8679	117	20	every	every	DET
ap-8679	117	21	pixel	pixel	NOUN
ap-8679	117	22	in	in	ADP
ap-8679	117	23	the	the	DET
ap-8679	117	24	image	image	NOUN
ap-8679	117	25	are	be	AUX
ap-8679	117	26	used	use	VERB
ap-8679	117	27	to	to	PART
ap-8679	117	28	flip	flip	VERB
ap-8679	117	29	each	each	DET
ap-8679	117	30	image	image	NOUN
ap-8679	117	31	vertically	vertically	ADV
ap-8679	117	32	.	.	PUNCT
ap-8679	118	1	equation	equation	NOUN
ap-8679	118	2	(	(	PUNCT
ap-8679	118	3	1	1	X
ap-8679	118	4	)	)	PUNCT
ap-8679	118	5	illustrates	illustrate	VERB
ap-8679	118	6	the	the	DET
ap-8679	118	7	new	new	ADJ
ap-8679	118	8	coordinates	coordinate	NOUN
ap-8679	118	9	of	of	ADP
ap-8679	118	10	each	each	DET
ap-8679	118	11	pixel	pixel	NOUN
ap-8679	118	12	after	after	ADP
ap-8679	118	13	the	the	DET
ap-8679	118	14	reflection	reflection	NOUN
ap-8679	118	15	over	over	ADP
ap-8679	118	16	the	the	DET
ap-8679	118	17	x	x	NOUN
ap-8679	118	18	-	-	NOUN
ap-8679	118	19	axis	axis	NOUN
ap-8679	118	20	as	as	ADP
ap-8679	118	21	x′	x′	PROPN
ap-8679	118	22	and	and	CCONJ
ap-8679	118	23	y′	y′	NUM
ap-8679	118	24	:(	:(	X
ap-8679	119	1	x′	x′	PROPN
ap-8679	119	2	y′	y′	ADV
ap-8679	119	3	)	)	PUNCT
ap-8679	120	1	=	=	PUNCT
ap-8679	120	2	(	(	PUNCT
ap-8679	120	3	1	1	NUM
ap-8679	120	4	0	0	NUM
ap-8679	120	5	0	0	NUM
ap-8679	120	6	−1	−1	NOUN
ap-8679	120	7	)	)	PUNCT
ap-8679	120	8	.	.	PUNCT
ap-8679	121	1	(	(	PUNCT
ap-8679	121	2	x	x	X
ap-8679	121	3	y	y	PROPN
ap-8679	121	4	)	)	PUNCT
ap-8679	121	5	.	.	PUNCT
ap-8679	122	1	(	(	PUNCT
ap-8679	122	2	1	1	X
ap-8679	122	3	)	)	PUNCT
ap-8679	122	4	•	•	NUM
ap-8679	122	5	horizontal	horizontal	ADJ
ap-8679	122	6	mirror	mirror	NOUN
ap-8679	122	7	image	image	NOUN
ap-8679	122	8	:	:	PUNCT
ap-8679	122	9	where	where	SCONJ
ap-8679	122	10	x	x	PRON
ap-8679	122	11	and	and	CCONJ
ap-8679	122	12	y	y	PROPN
ap-8679	122	13	represent	represent	VERB
ap-8679	122	14	the	the	DET
ap-8679	122	15	original	original	ADJ
ap-8679	122	16	coordinates	coordinate	NOUN
ap-8679	122	17	of	of	ADP
ap-8679	122	18	each	each	DET
ap-8679	122	19	pixel	pixel	NOUN
ap-8679	122	20	in	in	ADP
ap-8679	122	21	the	the	DET
ap-8679	122	22	image	image	NOUN
ap-8679	122	23	,	,	PUNCT
ap-8679	122	24	each	each	DET
ap-8679	122	25	image	image	NOUN
ap-8679	122	26	is	be	AUX
ap-8679	122	27	horizontally	horizontally	ADV
ap-8679	122	28	inverted	invert	VERB
ap-8679	122	29	.	.	PUNCT
ap-8679	123	1	then	then	ADV
ap-8679	123	2	,	,	PUNCT
ap-8679	123	3	as	as	SCONJ
ap-8679	123	4	stated	state	VERB
ap-8679	123	5	in	in	ADP
ap-8679	123	6	equation	equation	NOUN
ap-8679	123	7	(	(	PUNCT
ap-8679	123	8	2	2	NUM
ap-8679	123	9	)	)	PUNCT
ap-8679	123	10	,	,	PUNCT
ap-8679	123	11	x′	x′	PROPN
ap-8679	123	12	and	and	CCONJ
ap-8679	123	13	y′	y′	NOUN
ap-8679	123	14	are	be	AUX
ap-8679	123	15	each	each	DET
ap-8679	123	16	pixel	pixel	NOUN
ap-8679	123	17	’s	’s	PART
ap-8679	123	18	new	new	ADJ
ap-8679	123	19	coordinates	coordinate	NOUN
ap-8679	123	20	post	post	VERB
ap-8679	123	21	reflection	reflection	NOUN
ap-8679	123	22	over	over	ADP
ap-8679	123	23	the	the	DET
ap-8679	123	24	y	y	PROPN
ap-8679	123	25	-axis	-axis	PROPN
ap-8679	123	26	:(	:(	PUNCT
ap-8679	123	27	x′	x′	PROPN
ap-8679	123	28	y′	y′	NOUN
ap-8679	123	29	)	)	PUNCT
ap-8679	124	1	=	=	PRON
ap-8679	124	2	(	(	PUNCT
ap-8679	124	3	−1	−1	NOUN
ap-8679	124	4	0	0	SYM
ap-8679	124	5	0	0	NUM
ap-8679	124	6	1	1	NUM
ap-8679	124	7	)	)	PUNCT
ap-8679	124	8	.	.	PUNCT
ap-8679	125	1	(	(	PUNCT
ap-8679	125	2	x	x	X
ap-8679	125	3	y	y	PROPN
ap-8679	125	4	)	)	PUNCT
ap-8679	125	5	.	.	PUNCT
ap-8679	126	1	(	(	PUNCT
ap-8679	126	2	2	2	X
ap-8679	126	3	)	)	PUNCT
ap-8679	126	4	figure	figure	NOUN
ap-8679	126	5	2	2	NUM
ap-8679	126	6	highlights	highlight	NOUN
ap-8679	126	7	the	the	DET
ap-8679	126	8	result	result	NOUN
ap-8679	126	9	of	of	ADP
ap-8679	126	10	using	use	VERB
ap-8679	126	11	the	the	DET
ap-8679	126	12	mirror	mirror	NOUN
ap-8679	126	13	effect	effect	NOUN
ap-8679	126	14	(	(	PUNCT
ap-8679	126	15	horizontal	horizontal	ADJ
ap-8679	126	16	and	and	CCONJ
ap-8679	126	17	vertical	vertical	ADJ
ap-8679	126	18	)	)	PUNCT
ap-8679	126	19	on	on	ADP
ap-8679	126	20	an	an	DET
ap-8679	126	21	original	original	ADJ
ap-8679	126	22	image	image	NOUN
ap-8679	126	23	of	of	ADP
ap-8679	126	24	a	a	DET
ap-8679	126	25	retinopathic	retinopathic	ADJ
ap-8679	126	26	diabetes	diabetes	NOUN
ap-8679	126	27	.	.	PUNCT
ap-8679	127	1	the	the	DET
ap-8679	127	2	data	data	NOUN
ap-8679	127	3	augmentation	augmentation	NOUN
ap-8679	127	4	technique	technique	NOUN
ap-8679	127	5	is	be	AUX
ap-8679	127	6	exclusively	exclusively	ADV
ap-8679	127	7	implemented	implement	VERB
ap-8679	127	8	on	on	ADP
ap-8679	127	9	the	the	DET
ap-8679	127	10	training	training	NOUN
ap-8679	127	11	subset	subset	NOUN
ap-8679	127	12	of	of	ADP
ap-8679	127	13	the	the	DET
ap-8679	127	14	dataset	dataset	NOUN
ap-8679	127	15	.	.	PUNCT
ap-8679	128	1	this	this	DET
ap-8679	128	2	precaution	precaution	NOUN
ap-8679	128	3	is	be	AUX
ap-8679	128	4	taken	take	VERB
ap-8679	128	5	to	to	PART
ap-8679	128	6	prevent	prevent	VERB
ap-8679	128	7	potential	potential	ADJ
ap-8679	128	8	bias	bias	NOUN
ap-8679	128	9	in	in	ADP
ap-8679	128	10	the	the	DET
ap-8679	128	11	accurate	accurate	ADJ
ap-8679	128	12	evaluation	evaluation	NOUN
ap-8679	128	13	of	of	ADP
ap-8679	128	14	the	the	DET
ap-8679	128	15	model	model	NOUN
ap-8679	128	16	’s	’s	PART
ap-8679	128	17	performance	performance	NOUN
ap-8679	128	18	when	when	SCONJ
ap-8679	128	19	applied	apply	VERB
ap-8679	128	20	to	to	ADP
ap-8679	128	21	the	the	DET
ap-8679	128	22	entire	entire	ADJ
ap-8679	128	23	dataset	dataset	NOUN
ap-8679	128	24	,	,	PUNCT
ap-8679	128	25	including	include	VERB
ap-8679	128	26	the	the	DET
ap-8679	128	27	test	test	NOUN
ap-8679	128	28	set	set	NOUN
ap-8679	128	29	.	.	PUNCT
ap-8679	129	1	this	this	PRON
ap-8679	129	2	ensures	ensure	VERB
ap-8679	129	3	that	that	PRON
ap-8679	129	4	augmented	augment	VERB
ap-8679	129	5	data	datum	NOUN
ap-8679	129	6	are	be	AUX
ap-8679	129	7	encountered	encounter	VERB
ap-8679	129	8	only	only	ADV
ap-8679	129	9	during	during	ADP
ap-8679	129	10	the	the	DET
ap-8679	129	11	training	training	NOUN
ap-8679	129	12	phase	phase	NOUN
ap-8679	129	13	and	and	CCONJ
ap-8679	129	14	not	not	PART
ap-8679	129	15	during	during	ADP
ap-8679	129	16	testing	testing	NOUN
ap-8679	129	17	.	.	PUNCT
ap-8679	130	1	consequently	consequently	ADV
ap-8679	130	2	,	,	PUNCT
ap-8679	130	3	the	the	DET
ap-8679	130	4	training	training	NOUN
ap-8679	130	5	set	set	NOUN
ap-8679	130	6	is	be	AUX
ap-8679	130	7	increased	increase	VERB
ap-8679	130	8	from	from	ADP
ap-8679	130	9	3	3	NUM
ap-8679	130	10	373	373	NUM
ap-8679	130	11	to	to	PART
ap-8679	130	12	10	10	NUM
ap-8679	130	13	119	119	NUM
ap-8679	130	14	images	image	NOUN
ap-8679	130	15	,	,	PUNCT
ap-8679	130	16	i.e.	i.e.	X
ap-8679	130	17	we	we	PRON
ap-8679	130	18	triple	triple	VERB
ap-8679	130	19	its	its	PRON
ap-8679	130	20	size	size	NOUN
ap-8679	130	21	.	.	PUNCT
ap-8679	131	1	the	the	DET
ap-8679	131	2	model	model	NOUN
ap-8679	131	3	becomes	become	VERB
ap-8679	131	4	more	more	ADV
ap-8679	131	5	robust	robust	ADJ
ap-8679	131	6	as	as	SCONJ
ap-8679	131	7	the	the	DET
ap-8679	131	8	training	training	NOUN
ap-8679	131	9	set	set	NOUN
ap-8679	131	10	grows	grow	VERB
ap-8679	131	11	.	.	PUNCT
ap-8679	132	1	4	4	X
ap-8679	132	2	.	.	NUM
ap-8679	132	3	proposed	propose	VERB
ap-8679	132	4	model	model	NOUN
ap-8679	132	5	in	in	ADP
ap-8679	132	6	this	this	DET
ap-8679	132	7	study	study	NOUN
ap-8679	132	8	,	,	PUNCT
ap-8679	132	9	we	we	PRON
ap-8679	132	10	examined	examine	VERB
ap-8679	132	11	the	the	DET
ap-8679	132	12	various	various	ADJ
ap-8679	132	13	methods	method	NOUN
ap-8679	132	14	for	for	ADP
ap-8679	132	15	identifying	identify	VERB
ap-8679	132	16	eye	eye	NOUN
ap-8679	132	17	diseases	disease	NOUN
ap-8679	132	18	from	from	ADP
ap-8679	132	19	fundus	fundus	NOUN
ap-8679	132	20	photographs	photograph	NOUN
ap-8679	132	21	(	(	PUNCT
ap-8679	132	22	as	as	SCONJ
ap-8679	132	23	mentionned	mentionne	VERB
ap-8679	132	24	in	in	ADP
ap-8679	132	25	figure	figure	NOUN
ap-8679	132	26	3	3	NUM
ap-8679	132	27	)	)	PUNCT
ap-8679	132	28	.	.	PUNCT
ap-8679	133	1	after	after	ADP
ap-8679	133	2	that	that	PRON
ap-8679	133	3	,	,	PUNCT
ap-8679	133	4	we	we	PRON
ap-8679	133	5	looked	look	VERB
ap-8679	133	6	at	at	ADP
ap-8679	133	7	the	the	DET
ap-8679	133	8	cnn	cnn	PROPN
ap-8679	133	9	architecture	architecture	NOUN
ap-8679	133	10	,	,	PUNCT
ap-8679	133	11	which	which	PRON
ap-8679	133	12	is	be	AUX
ap-8679	133	13	based	base	VERB
ap-8679	133	14	on	on	ADP
ap-8679	133	15	hubel	hubel	PROPN
ap-8679	133	16	and	and	CCONJ
ap-8679	133	17	wisiel	wisiel	PROPN
ap-8679	133	18	’s	’s	PART
ap-8679	133	19	study	study	NOUN
ap-8679	133	20	on	on	ADP
ap-8679	133	21	the	the	DET
ap-8679	133	22	cat	cat	NOUN
ap-8679	133	23	’s	’s	PART
ap-8679	133	24	visual	visual	ADJ
ap-8679	133	25	cortex	cortex	NOUN
ap-8679	133	26	[	[	X
ap-8679	133	27	28	28	NUM
ap-8679	133	28	]	]	PUNCT
ap-8679	133	29	,	,	PUNCT
ap-8679	133	30	as	as	ADV
ap-8679	133	31	well	well	ADV
ap-8679	133	32	(	(	PUNCT
ap-8679	133	33	a	a	NOUN
ap-8679	133	34	)	)	PUNCT
ap-8679	133	35	.	.	PUNCT
ap-8679	134	1	(	(	PUNCT
ap-8679	134	2	b	b	NOUN
ap-8679	134	3	)	)	PUNCT
ap-8679	134	4	.	.	PUNCT
ap-8679	135	1	(	(	PUNCT
ap-8679	135	2	c	c	X
ap-8679	135	3	)	)	PUNCT
ap-8679	135	4	.	.	PUNCT
ap-8679	136	1	figure	figure	NOUN
ap-8679	136	2	2	2	NUM
ap-8679	136	3	.	.	PUNCT
ap-8679	136	4	data	datum	NOUN
ap-8679	136	5	augmentation	augmentation	NOUN
ap-8679	136	6	reflection	reflection	NOUN
ap-8679	136	7	(	(	PUNCT
ap-8679	136	8	dar	dar	NOUN
ap-8679	136	9	)	)	PUNCT
ap-8679	136	10	results	result	VERB
ap-8679	136	11	:	:	PUNCT
ap-8679	136	12	(	(	PUNCT
ap-8679	136	13	a	a	X
ap-8679	136	14	)	)	PUNCT
ap-8679	136	15	original	original	ADJ
ap-8679	136	16	image	image	NOUN
ap-8679	136	17	;	;	PUNCT
ap-8679	136	18	(	(	PUNCT
ap-8679	136	19	b	b	X
ap-8679	136	20	)	)	PUNCT
ap-8679	136	21	horizontal	horizontal	ADJ
ap-8679	136	22	mirror	mirror	NOUN
ap-8679	136	23	image	image	NOUN
ap-8679	136	24	;	;	PUNCT
ap-8679	136	25	(	(	PUNCT
ap-8679	136	26	c	c	X
ap-8679	136	27	)	)	PUNCT
ap-8679	136	28	vertical	vertical	ADJ
ap-8679	136	29	mirror	mirror	NOUN
ap-8679	136	30	image	image	NOUN
ap-8679	136	31	.	.	PUNCT
ap-8679	137	1	as	as	ADP
ap-8679	137	2	a	a	DET
ap-8679	137	3	variety	variety	NOUN
ap-8679	137	4	of	of	ADP
ap-8679	137	5	pre	pre	ADJ
ap-8679	137	6	-	-	ADJ
ap-8679	137	7	trained	train	VERB
ap-8679	137	8	models	model	NOUN
ap-8679	137	9	,	,	PUNCT
ap-8679	137	10	including	include	VERB
ap-8679	137	11	alexnet	alexnet	NOUN
ap-8679	137	12	,	,	PUNCT
ap-8679	137	13	resnet	resnet	NOUN
ap-8679	137	14	18	18	NUM
ap-8679	137	15	,	,	PUNCT
ap-8679	137	16	resnet	resnet	VERB
ap-8679	137	17	50	50	NUM
ap-8679	137	18	,	,	PUNCT
ap-8679	137	19	googlenet	googlenet	NOUN
ap-8679	137	20	,	,	PUNCT
ap-8679	137	21	vgg	vgg	NOUN
ap-8679	137	22	19	19	NUM
ap-8679	137	23	,	,	PUNCT
ap-8679	137	24	and	and	CCONJ
ap-8679	137	25	yolov3	yolov3	PROPN
ap-8679	137	26	.	.	PUNCT
ap-8679	138	1	in	in	ADP
ap-8679	138	2	general	general	ADJ
ap-8679	138	3	,	,	PUNCT
ap-8679	138	4	all	all	DET
ap-8679	138	5	neural	neural	ADJ
ap-8679	138	6	networks	network	NOUN
ap-8679	138	7	need	need	VERB
ap-8679	138	8	calculations	calculation	NOUN
ap-8679	138	9	,	,	PUNCT
ap-8679	138	10	and	and	CCONJ
ap-8679	138	11	the	the	DET
ap-8679	138	12	image	image	NOUN
ap-8679	138	13	classification	classification	NOUN
ap-8679	138	14	in	in	ADP
ap-8679	138	15	particular	particular	ADJ
ap-8679	138	16	has	have	VERB
ap-8679	138	17	to	to	PART
ap-8679	138	18	comprehend	comprehend	VERB
ap-8679	138	19	several	several	ADJ
ap-8679	138	20	essential	essential	ADJ
ap-8679	138	21	aspects	aspect	NOUN
ap-8679	138	22	of	of	ADP
ap-8679	138	23	the	the	DET
ap-8679	138	24	image	image	NOUN
ap-8679	138	25	,	,	PUNCT
ap-8679	138	26	such	such	ADJ
ap-8679	138	27	as	as	ADP
ap-8679	138	28	its	its	PRON
ap-8679	138	29	size	size	NOUN
ap-8679	138	30	,	,	PUNCT
ap-8679	138	31	channel	channel	NOUN
ap-8679	138	32	,	,	PUNCT
ap-8679	138	33	and	and	CCONJ
ap-8679	138	34	processing	processing	NOUN
ap-8679	138	35	capabilities	capability	NOUN
ap-8679	138	36	.	.	PUNCT
ap-8679	139	1	this	this	PRON
ap-8679	139	2	shows	show	VERB
ap-8679	139	3	a	a	DET
ap-8679	139	4	broad	broad	ADJ
ap-8679	139	5	application	application	NOUN
ap-8679	139	6	of	of	ADP
ap-8679	139	7	deep	deep	ADJ
ap-8679	139	8	learning	learn	VERB
ap-8679	139	9	neural	neural	ADJ
ap-8679	139	10	networks	network	NOUN
ap-8679	139	11	for	for	ADP
ap-8679	139	12	classifying	classify	VERB
ap-8679	139	13	fundus	fundus	NOUN
ap-8679	139	14	images	image	NOUN
ap-8679	139	15	.	.	PUNCT
ap-8679	140	1	additionally	additionally	ADV
ap-8679	140	2	,	,	PUNCT
ap-8679	140	3	it	it	PRON
ap-8679	140	4	describes	describe	VERB
ap-8679	140	5	the	the	DET
ap-8679	140	6	important	important	ADJ
ap-8679	140	7	outcomes	outcome	NOUN
ap-8679	140	8	produced	produce	VERB
ap-8679	140	9	by	by	ADP
ap-8679	140	10	these	these	DET
ap-8679	140	11	neural	neural	ADJ
ap-8679	140	12	approaches	approach	NOUN
ap-8679	140	13	.	.	PUNCT
ap-8679	141	1	the	the	DET
ap-8679	141	2	feature	feature	NOUN
ap-8679	141	3	extraction	extraction	NOUN
ap-8679	141	4	stage	stage	NOUN
ap-8679	141	5	,	,	PUNCT
ap-8679	141	6	which	which	PRON
ap-8679	141	7	is	be	AUX
ap-8679	141	8	very	very	ADV
ap-8679	141	9	laborious	laborious	ADJ
ap-8679	141	10	since	since	SCONJ
ap-8679	141	11	it	it	PRON
ap-8679	141	12	must	must	AUX
ap-8679	141	13	be	be	AUX
ap-8679	141	14	done	do	VERB
ap-8679	141	15	by	by	ADP
ap-8679	141	16	hand	hand	NOUN
ap-8679	141	17	,	,	PUNCT
ap-8679	141	18	is	be	AUX
ap-8679	141	19	one	one	NUM
ap-8679	141	20	that	that	PRON
ap-8679	141	21	deep	deep	ADJ
ap-8679	141	22	learning	learning	NOUN
ap-8679	141	23	approaches	approach	NOUN
ap-8679	141	24	allow	allow	VERB
ap-8679	141	25	us	we	PRON
ap-8679	141	26	to	to	PART
ap-8679	141	27	avoid	avoid	VERB
ap-8679	141	28	in	in	ADP
ap-8679	141	29	addition	addition	NOUN
ap-8679	141	30	to	to	ADP
ap-8679	141	31	processing	process	VERB
ap-8679	141	32	a	a	DET
ap-8679	141	33	very	very	ADV
ap-8679	141	34	high	high	ADJ
ap-8679	141	35	quantity	quantity	NOUN
ap-8679	141	36	of	of	ADP
ap-8679	141	37	images	image	NOUN
ap-8679	141	38	.	.	PUNCT
ap-8679	142	1	due	due	ADP
ap-8679	142	2	to	to	ADP
ap-8679	142	3	their	their	PRON
ap-8679	142	4	capacity	capacity	NOUN
ap-8679	142	5	to	to	PART
ap-8679	142	6	collect	collect	VERB
ap-8679	142	7	features	feature	NOUN
ap-8679	142	8	and	and	CCONJ
ap-8679	142	9	learn	learn	VERB
ap-8679	142	10	to	to	PART
ap-8679	142	11	differentiate	differentiate	VERB
ap-8679	142	12	between	between	ADP
ap-8679	142	13	various	various	ADJ
ap-8679	142	14	classes	class	NOUN
ap-8679	142	15	,	,	PUNCT
ap-8679	142	16	convolutional	convolutional	ADJ
ap-8679	142	17	neural	neural	ADJ
ap-8679	142	18	networks	network	NOUN
ap-8679	142	19	(	(	PUNCT
ap-8679	142	20	cnn	cnn	PROPN
ap-8679	142	21	)	)	PUNCT
ap-8679	142	22	are	be	AUX
ap-8679	142	23	the	the	DET
ap-8679	142	24	most	most	ADV
ap-8679	142	25	often	often	ADV
ap-8679	142	26	employed	employ	VERB
ap-8679	142	27	dl	dl	PROPN
ap-8679	142	28	technology	technology	NOUN
ap-8679	142	29	in	in	ADP
ap-8679	142	30	the	the	DET
ap-8679	142	31	healthcare	healthcare	NOUN
ap-8679	142	32	industry	industry	NOUN
ap-8679	142	33	.	.	PUNCT
ap-8679	143	1	the	the	DET
ap-8679	143	2	pre	pre	ADJ
ap-8679	143	3	-	-	ADJ
ap-8679	143	4	trained	train	VERB
ap-8679	143	5	model	model	NOUN
ap-8679	143	6	has	have	VERB
ap-8679	143	7	a	a	DET
ap-8679	143	8	specific	specific	ADJ
ap-8679	143	9	design	design	NOUN
ap-8679	143	10	and	and	CCONJ
ap-8679	143	11	offers	offer	VERB
ap-8679	143	12	a	a	DET
ap-8679	143	13	more	more	ADV
ap-8679	143	14	straightforward	straightforward	ADJ
ap-8679	143	15	method	method	NOUN
ap-8679	143	16	to	to	PART
ap-8679	143	17	accurately	accurately	ADV
ap-8679	143	18	and	and	CCONJ
ap-8679	143	19	speedily	speedily	ADV
ap-8679	143	20	retrain	retrain	VERB
ap-8679	143	21	neural	neural	ADJ
ap-8679	143	22	networks	network	NOUN
ap-8679	143	23	on	on	ADP
ap-8679	143	24	chosen	choose	VERB
ap-8679	143	25	datasets	dataset	NOUN
ap-8679	143	26	(	(	PUNCT
ap-8679	143	27	all	all	DET
ap-8679	143	28	the	the	DET
ap-8679	143	29	pretrained	pretraine	VERB
ap-8679	143	30	models	model	NOUN
ap-8679	143	31	architectures	architecture	NOUN
ap-8679	143	32	are	be	AUX
ap-8679	143	33	detailed	detail	VERB
ap-8679	143	34	in	in	ADP
ap-8679	143	35	section	section	NOUN
ap-8679	143	36	5.2	5.2	NUM
ap-8679	143	37	)	)	PUNCT
ap-8679	143	38	.	.	PUNCT
ap-8679	144	1	5	5	X
ap-8679	144	2	.	.	X
ap-8679	144	3	results	result	VERB
ap-8679	144	4	5.1	5.1	NUM
ap-8679	144	5	.	.	PUNCT
ap-8679	145	1	the	the	DET
ap-8679	145	2	proposed	propose	VERB
ap-8679	145	3	cnn	cnn	PROPN
ap-8679	145	4	as	as	SCONJ
ap-8679	145	5	our	our	PRON
ap-8679	145	6	cnn	cnn	PROPN
ap-8679	145	7	’s	’s	PART
ap-8679	145	8	structure	structure	NOUN
ap-8679	145	9	demonstrates	demonstrate	VERB
ap-8679	145	10	,	,	PUNCT
ap-8679	145	11	there	there	PRON
ap-8679	145	12	are	be	VERB
ap-8679	145	13	several	several	ADJ
ap-8679	145	14	layers	layer	NOUN
ap-8679	145	15	represented	represent	VERB
ap-8679	145	16	.	.	PUNCT
ap-8679	146	1	as	as	SCONJ
ap-8679	146	2	shown	show	VERB
ap-8679	146	3	in	in	ADP
ap-8679	146	4	table	table	NOUN
ap-8679	146	5	2	2	NUM
ap-8679	146	6	,	,	PUNCT
ap-8679	146	7	the	the	DET
ap-8679	146	8	cnn	cnn	PROPN
ap-8679	146	9	network	network	NOUN
ap-8679	146	10	is	be	AUX
ap-8679	146	11	composed	compose	VERB
ap-8679	146	12	of	of	ADP
ap-8679	146	13	six	six	NUM
ap-8679	146	14	convolution	convolution	NOUN
ap-8679	146	15	layers	layer	NOUN
ap-8679	146	16	,	,	PUNCT
ap-8679	146	17	with	with	ADP
ap-8679	146	18	conv	conv	PROPN
ap-8679	146	19	1	1	NUM
ap-8679	146	20	consisting	consist	VERB
ap-8679	146	21	of	of	ADP
ap-8679	146	22	32	32	NUM
ap-8679	146	23	feature	feature	NOUN
ap-8679	146	24	maps	map	NOUN
ap-8679	146	25	,	,	PUNCT
ap-8679	146	26	c2	c2	PROPN
ap-8679	146	27	consisting	consist	VERB
ap-8679	146	28	of	of	ADP
ap-8679	146	29	64	64	NUM
ap-8679	146	30	feature	feature	NOUN
ap-8679	146	31	maps	map	NOUN
ap-8679	146	32	,	,	PUNCT
ap-8679	146	33	and	and	CCONJ
ap-8679	146	34	c3	c3	PROPN
ap-8679	146	35	consisting	consist	VERB
ap-8679	146	36	of	of	ADP
ap-8679	146	37	128	128	NUM
ap-8679	146	38	feature	feature	NOUN
ap-8679	146	39	maps	map	NOUN
ap-8679	146	40	as	as	ADP
ap-8679	146	41	its	its	PRON
ap-8679	146	42	input	input	NOUN
ap-8679	146	43	.	.	PUNCT
ap-8679	147	1	six	six	NUM
ap-8679	147	2	pooling	pool	VERB
ap-8679	147	3	layers	layer	NOUN
ap-8679	147	4	are	be	AUX
ap-8679	147	5	used	use	VERB
ap-8679	147	6	,	,	PUNCT
ap-8679	147	7	with	with	ADP
ap-8679	147	8	layers	layer	NOUN
ap-8679	147	9	s1	s1	NOUN
ap-8679	147	10	,	,	PUNCT
ap-8679	147	11	s2	s2	PROPN
ap-8679	147	12	,	,	PUNCT
ap-8679	147	13	...	...	PUNCT
ap-8679	147	14	,	,	PUNCT
ap-8679	147	15	and	and	CCONJ
ap-8679	147	16	s6	s6	PROPN
ap-8679	147	17	being	be	AUX
ap-8679	147	18	subsampling	subsample	VERB
ap-8679	147	19	layers	layer	NOUN
ap-8679	147	20	with	with	ADP
ap-8679	147	21	the	the	DET
ap-8679	147	22	same	same	ADJ
ap-8679	147	23	amount	amount	NOUN
ap-8679	147	24	of	of	ADP
ap-8679	147	25	feature	feature	NOUN
ap-8679	147	26	maps	map	NOUN
ap-8679	147	27	as	as	ADP
ap-8679	147	28	their	their	PRON
ap-8679	147	29	previous	previous	ADJ
ap-8679	147	30	convolution	convolution	NOUN
ap-8679	147	31	.	.	PUNCT
ap-8679	148	1	following	follow	VERB
ap-8679	148	2	the	the	DET
ap-8679	148	3	pre	pre	ADJ
ap-8679	148	4	-	-	ADJ
ap-8679	148	5	processing	processing	ADJ
ap-8679	148	6	layers	layer	NOUN
ap-8679	148	7	,	,	PUNCT
ap-8679	148	8	4	4	NUM
ap-8679	148	9	vol	vol	NOUN
ap-8679	148	10	.	.	PUNCT
ap-8679	149	1	64	64	NUM
ap-8679	149	2	no	no	NOUN
ap-8679	149	3	.	.	PUNCT
ap-8679	150	1	1/2024	1/2024	NUM
ap-8679	150	2	cnn	cnn	PROPN
ap-8679	150	3	-	-	PUNCT
ap-8679	150	4	based	base	VERB
ap-8679	150	5	eye	eye	NOUN
ap-8679	150	6	disease	disease	NOUN
ap-8679	150	7	classification	classification	NOUN
ap-8679	150	8	from	from	ADP
ap-8679	150	9	fundus	fundus	NOUN
ap-8679	150	10	images	image	NOUN
ap-8679	150	11	figure	figure	NOUN
ap-8679	150	12	3	3	NUM
ap-8679	150	13	.	.	PUNCT
ap-8679	151	1	the	the	DET
ap-8679	151	2	proposed	propose	VERB
ap-8679	151	3	model	model	NOUN
ap-8679	151	4	with	with	ADP
ap-8679	151	5	different	different	ADJ
ap-8679	151	6	algorithms	algorithm	NOUN
ap-8679	151	7	.	.	PUNCT
ap-8679	152	1	there	there	PRON
ap-8679	152	2	are	be	VERB
ap-8679	152	3	four	four	NUM
ap-8679	152	4	completely	completely	ADV
ap-8679	152	5	connected	connect	VERB
ap-8679	152	6	(	(	PUNCT
ap-8679	152	7	fc	fc	INTJ
ap-8679	152	8	)	)	PUNCT
ap-8679	152	9	layers	layer	NOUN
ap-8679	152	10	with	with	ADP
ap-8679	152	11	four	four	NUM
ap-8679	152	12	neurons	neuron	NOUN
ap-8679	152	13	each	each	PRON
ap-8679	152	14	,	,	PUNCT
ap-8679	152	15	which	which	PRON
ap-8679	152	16	connect	connect	VERB
ap-8679	152	17	to	to	ADP
ap-8679	152	18	all	all	PRON
ap-8679	152	19	of	of	ADP
ap-8679	152	20	the	the	DET
ap-8679	152	21	maps	map	NOUN
ap-8679	152	22	of	of	ADP
ap-8679	152	23	the	the	DET
ap-8679	152	24	previous	previous	ADJ
ap-8679	152	25	pooling	pool	VERB
ap-8679	152	26	layer	layer	NOUN
ap-8679	152	27	.	.	PUNCT
ap-8679	153	1	the	the	DET
ap-8679	153	2	output	output	NOUN
ap-8679	153	3	layer	layer	NOUN
ap-8679	153	4	is	be	AUX
ap-8679	153	5	then	then	ADV
ap-8679	153	6	a	a	DET
ap-8679	153	7	fully	fully	ADV
ap-8679	153	8	connected	connect	VERB
ap-8679	153	9	layer	layer	NOUN
ap-8679	153	10	as	as	ADV
ap-8679	153	11	well	well	ADV
ap-8679	153	12	.	.	PUNCT
ap-8679	154	1	in	in	ADP
ap-8679	154	2	table	table	NOUN
ap-8679	154	3	2	2	NUM
ap-8679	154	4	,	,	PUNCT
ap-8679	154	5	the	the	DET
ap-8679	154	6	cnn	cnn	NOUN
ap-8679	154	7	architecture	architecture	NOUN
ap-8679	154	8	is	be	AUX
ap-8679	154	9	illustrated	illustrate	VERB
ap-8679	154	10	.	.	PUNCT
ap-8679	155	1	name	name	NOUN
ap-8679	155	2	type	type	NOUN
ap-8679	155	3	size	size	NOUN
ap-8679	155	4	input	input	NOUN
ap-8679	155	5	layer	layer	NOUN
ap-8679	155	6	input	input	NOUN
ap-8679	155	7	data	datum	NOUN
ap-8679	155	8	512	512	NUM
ap-8679	155	9	*	*	SYM
ap-8679	155	10	512	512	NUM
ap-8679	155	11	conv1	conv1	NOUN
ap-8679	155	12	convolution	convolution	NOUN
ap-8679	155	13	+	+	CCONJ
ap-8679	155	14	relu	relu	NOUN
ap-8679	155	15	32	32	NUM
ap-8679	155	16	*	*	SYM
ap-8679	155	17	32	32	NUM
ap-8679	155	18	*	*	SYM
ap-8679	155	19	8	8	NUM
ap-8679	155	20	s1	s1	PROPN
ap-8679	155	21	max	max	PROPN
ap-8679	155	22	pooling	pool	VERB
ap-8679	155	23	3.2	3.2	NUM
ap-8679	155	24	conv2	conv2	NOUN
ap-8679	155	25	convolution	convolution	NOUN
ap-8679	155	26	+	+	CCONJ
ap-8679	155	27	relu	relu	NOUN
ap-8679	155	28	64	64	NUM
ap-8679	155	29	*	*	SYM
ap-8679	155	30	64	64	NUM
ap-8679	155	31	*	*	SYM
ap-8679	155	32	3	3	NUM
ap-8679	155	33	s2	s2	NOUN
ap-8679	155	34	max	max	PROPN
ap-8679	155	35	pooling	pool	VERB
ap-8679	155	36	3.2	3.2	NUM
ap-8679	155	37	conv3	conv3	NOUN
ap-8679	155	38	convolution	convolution	NOUN
ap-8679	155	39	+	+	CCONJ
ap-8679	155	40	relu	relu	NOUN
ap-8679	155	41	128	128	NUM
ap-8679	155	42	*	*	SYM
ap-8679	155	43	128	128	NUM
ap-8679	155	44	*	*	SYM
ap-8679	155	45	5	5	NUM
ap-8679	155	46	s3	s3	PROPN
ap-8679	155	47	max	max	PROPN
ap-8679	155	48	pooling	pool	VERB
ap-8679	155	49	3.2	3.2	NUM
ap-8679	155	50	conv4	conv4	NOUN
ap-8679	155	51	convolution	convolution	NOUN
ap-8679	155	52	+	+	CCONJ
ap-8679	155	53	relu	relu	NOUN
ap-8679	155	54	256	256	NUM
ap-8679	155	55	*	*	SYM
ap-8679	155	56	256	256	NUM
ap-8679	155	57	*	*	SYM
ap-8679	155	58	5	5	NUM
ap-8679	155	59	s4	s4	PROPN
ap-8679	155	60	max	max	PROPN
ap-8679	155	61	pooling	pool	VERB
ap-8679	155	62	3.2	3.2	NUM
ap-8679	155	63	conv5	conv5	NOUN
ap-8679	155	64	convolution	convolution	NOUN
ap-8679	155	65	+	+	CCONJ
ap-8679	155	66	relu	relu	NOUN
ap-8679	155	67	512	512	NUM
ap-8679	155	68	*	*	SYM
ap-8679	155	69	512	512	NUM
ap-8679	155	70	*	*	SYM
ap-8679	155	71	5	5	NUM
ap-8679	155	72	s5	s5	PROPN
ap-8679	155	73	max	max	PROPN
ap-8679	155	74	pooling	pool	VERB
ap-8679	155	75	3.2	3.2	NUM
ap-8679	155	76	conv6	conv6	PROPN
ap-8679	155	77	convolution	convolution	NOUN
ap-8679	155	78	+	+	CCONJ
ap-8679	155	79	relu	relu	NOUN
ap-8679	155	80	1	1	NUM
ap-8679	155	81	024	024	NUM
ap-8679	155	82	*	*	SYM
ap-8679	155	83	1	1	NUM
ap-8679	155	84	024	024	NUM
ap-8679	155	85	*	*	SYM
ap-8679	155	86	5	5	NUM
ap-8679	155	87	s6	s6	PROPN
ap-8679	155	88	max	max	PROPN
ap-8679	155	89	pooling	pool	VERB
ap-8679	155	90	3.2	3.2	NUM
ap-8679	155	91	fc	fc	PROPN
ap-8679	155	92	fully	fully	ADV
ap-8679	155	93	connected	connect	VERB
ap-8679	155	94	1	1	NUM
ap-8679	155	95	fc(4	fc(4	NOUN
ap-8679	155	96	)	)	PUNCT
ap-8679	155	97	table	table	NOUN
ap-8679	155	98	2	2	NUM
ap-8679	155	99	.	.	PUNCT
ap-8679	156	1	the	the	DET
ap-8679	156	2	architecture	architecture	NOUN
ap-8679	156	3	of	of	ADP
ap-8679	156	4	the	the	DET
ap-8679	156	5	cnn	cnn	PROPN
ap-8679	156	6	model	model	NOUN
ap-8679	156	7	.	.	PUNCT
ap-8679	157	1	all	all	PRON
ap-8679	157	2	of	of	ADP
ap-8679	157	3	the	the	DET
ap-8679	157	4	hyperparameters	hyperparameter	NOUN
ap-8679	157	5	used	use	VERB
ap-8679	157	6	in	in	ADP
ap-8679	157	7	this	this	DET
ap-8679	157	8	model	model	NOUN
ap-8679	157	9	,	,	PUNCT
ap-8679	157	10	including	include	VERB
ap-8679	157	11	the	the	DET
ap-8679	157	12	number	number	NOUN
ap-8679	157	13	of	of	ADP
ap-8679	157	14	epochs	epoch	NOUN
ap-8679	157	15	employed	employ	VERB
ap-8679	157	16	,	,	PUNCT
ap-8679	157	17	the	the	DET
ap-8679	157	18	mini	mini	ADJ
ap-8679	157	19	batch	batch	NOUN
ap-8679	157	20	size	size	NOUN
ap-8679	157	21	(	(	PUNCT
ap-8679	157	22	64	64	NUM
ap-8679	157	23	)	)	PUNCT
ap-8679	157	24	,	,	PUNCT
ap-8679	157	25	the	the	DET
ap-8679	157	26	learning	learning	NOUN
ap-8679	157	27	rate	rate	NOUN
ap-8679	157	28	of	of	ADP
ap-8679	157	29	0.001	0.001	NUM
ap-8679	157	30	,	,	PUNCT
ap-8679	157	31	and	and	CCONJ
ap-8679	157	32	the	the	DET
ap-8679	157	33	frequency	frequency	NOUN
ap-8679	157	34	validation	validation	NOUN
ap-8679	157	35	of	of	ADP
ap-8679	157	36	20	20	NUM
ap-8679	157	37	,	,	PUNCT
ap-8679	157	38	are	be	AUX
ap-8679	157	39	defined	define	VERB
ap-8679	157	40	in	in	ADP
ap-8679	157	41	the	the	DET
ap-8679	157	42	choices	choice	NOUN
ap-8679	157	43	side	side	NOUN
ap-8679	157	44	,	,	PUNCT
ap-8679	157	45	where	where	SCONJ
ap-8679	157	46	the	the	DET
ap-8679	157	47	trained	train	VERB
ap-8679	157	48	parameters	parameter	NOUN
ap-8679	157	49	are	be	AUX
ap-8679	157	50	contained	contain	VERB
ap-8679	157	51	.	.	PUNCT
ap-8679	158	1	the	the	DET
ap-8679	158	2	accuracy	accuracy	NOUN
ap-8679	158	3	of	of	ADP
ap-8679	158	4	this	this	DET
ap-8679	158	5	model	model	NOUN
ap-8679	158	6	was	be	AUX
ap-8679	158	7	tested	test	VERB
ap-8679	158	8	using	use	VERB
ap-8679	158	9	the	the	DET
ap-8679	158	10	given	give	VERB
ap-8679	158	11	cnn	cnn	PROPN
ap-8679	158	12	,	,	PUNCT
ap-8679	158	13	which	which	PRON
ap-8679	158	14	was	be	AUX
ap-8679	158	15	trained	train	VERB
ap-8679	158	16	using	use	VERB
ap-8679	158	17	various	various	ADJ
ap-8679	158	18	parameters	parameter	NOUN
ap-8679	158	19	.	.	PUNCT
ap-8679	159	1	in	in	ADP
ap-8679	159	2	table	table	NOUN
ap-8679	159	3	3	3	NUM
ap-8679	159	4	,	,	PUNCT
ap-8679	159	5	the	the	DET
ap-8679	159	6	cnn	cnn	PROPN
ap-8679	159	7	model	model	PROPN
ap-8679	159	8	’s	’s	PART
ap-8679	159	9	training	training	NOUN
ap-8679	159	10	parameters	parameter	NOUN
ap-8679	159	11	are	be	AUX
ap-8679	159	12	listed	list	VERB
ap-8679	159	13	.	.	PUNCT
ap-8679	160	1	parameter	parameter	NOUN
ap-8679	160	2	value	value	NOUN
ap-8679	160	3	initial	initial	ADJ
ap-8679	160	4	learning	learning	NOUN
ap-8679	160	5	rate	rate	NOUN
ap-8679	160	6	0.001	0.001	NUM
ap-8679	160	7	optimiser	optimiser	NOUN
ap-8679	160	8	sgdm	sgdm	NOUN
ap-8679	160	9	/	/	SYM
ap-8679	160	10	adam	adam	NOUN
ap-8679	160	11	/	/	SYM
ap-8679	160	12	rmsprop	rmsprop	NOUN
ap-8679	160	13	momentum	momentum	NOUN
ap-8679	160	14	0.9	0.9	NUM
ap-8679	160	15	max	max	PROPN
ap-8679	160	16	epoch	epoch	PROPN
ap-8679	160	17	5	5	NUM
ap-8679	160	18	to	to	PART
ap-8679	160	19	20	20	NUM
ap-8679	160	20	mini	mini	NOUN
ap-8679	160	21	batch	batch	NOUN
ap-8679	160	22	size	size	NOUN
ap-8679	160	23	64	64	NUM
ap-8679	160	24	validation	validation	NOUN
ap-8679	160	25	frequency	frequency	NOUN
ap-8679	160	26	20	20	NUM
ap-8679	160	27	table	table	NOUN
ap-8679	160	28	3	3	NUM
ap-8679	160	29	.	.	PUNCT
ap-8679	161	1	the	the	DET
ap-8679	161	2	training	training	NOUN
ap-8679	161	3	parameters	parameter	NOUN
ap-8679	161	4	of	of	ADP
ap-8679	161	5	the	the	DET
ap-8679	161	6	cnn	cnn	PROPN
ap-8679	161	7	model	model	NOUN
ap-8679	161	8	.	.	PUNCT
ap-8679	162	1	we	we	PRON
ap-8679	162	2	take	take	VERB
ap-8679	162	3	into	into	ADP
ap-8679	162	4	account	account	NOUN
ap-8679	162	5	several	several	ADJ
ap-8679	162	6	optimisers	optimiser	NOUN
ap-8679	162	7	when	when	SCONJ
ap-8679	162	8	training	train	VERB
ap-8679	162	9	the	the	DET
ap-8679	162	10	models	model	NOUN
ap-8679	162	11	:	:	PUNCT
ap-8679	162	12	•	•	NUM
ap-8679	162	13	sgdm	sgdm	NOUN
ap-8679	162	14	:	:	PUNCT
ap-8679	162	15	the	the	DET
ap-8679	162	16	stochastic	stochastic	ADJ
ap-8679	162	17	gradient	gradient	ADJ
ap-8679	162	18	descent	descent	NOUN
ap-8679	162	19	with	with	ADP
ap-8679	162	20	momentum	momentum	NOUN
ap-8679	162	21	solver	solver	NOUN
ap-8679	162	22	[	[	X
ap-8679	162	23	29	29	NUM
ap-8679	162	24	]	]	PUNCT
ap-8679	162	25	.	.	PUNCT
ap-8679	163	1	•	•	X
ap-8679	163	2	adam	adam	NOUN
ap-8679	163	3	:	:	PUNCT
ap-8679	163	4	adaptive	adaptive	ADJ
ap-8679	163	5	moment	moment	NOUN
ap-8679	163	6	estimation	estimation	NOUN
ap-8679	163	7	[	[	X
ap-8679	163	8	30	30	NUM
ap-8679	163	9	]	]	PUNCT
ap-8679	163	10	.	.	PUNCT
ap-8679	164	1	•	•	NOUN
ap-8679	164	2	rmsprop	rmsprop	NOUN
ap-8679	164	3	:	:	PUNCT
ap-8679	164	4	root	root	NOUN
ap-8679	164	5	mean	mean	ADJ
ap-8679	164	6	square	square	ADJ
ap-8679	164	7	propagation	propagation	NOUN
ap-8679	165	1	[	[	X
ap-8679	165	2	31	31	NUM
ap-8679	165	3	]	]	PUNCT
ap-8679	165	4	.	.	PUNCT
ap-8679	166	1	•	•	NUM
ap-8679	166	2	momentum	momentum	NOUN
ap-8679	166	3	is	be	AUX
ap-8679	166	4	the	the	DET
ap-8679	166	5	contribution	contribution	NOUN
ap-8679	166	6	to	to	ADP
ap-8679	166	7	the	the	DET
ap-8679	166	8	current	current	ADJ
ap-8679	166	9	iteration	iteration	NOUN
ap-8679	166	10	of	of	ADP
ap-8679	166	11	the	the	DET
ap-8679	166	12	stochastic	stochastic	ADJ
ap-8679	166	13	gradient	gradient	ADJ
ap-8679	166	14	descent	descent	NOUN
ap-8679	166	15	with	with	ADP
ap-8679	166	16	momentum	momentum	NOUN
ap-8679	166	17	of	of	ADP
ap-8679	166	18	the	the	DET
ap-8679	166	19	parameter	parameter	NOUN
ap-8679	166	20	update	update	NOUN
ap-8679	166	21	stage	stage	NOUN
ap-8679	166	22	of	of	ADP
ap-8679	166	23	the	the	DET
ap-8679	166	24	previous	previous	ADJ
ap-8679	166	25	iteration	iteration	NOUN
ap-8679	166	26	.	.	PUNCT
ap-8679	167	1	•	•	NUM
ap-8679	167	2	mini	mini	NOUN
ap-8679	167	3	batch	batch	NOUN
ap-8679	167	4	size	size	NOUN
ap-8679	167	5	:	:	PUNCT
ap-8679	167	6	the	the	DET
ap-8679	167	7	stochastic	stochastic	ADJ
ap-8679	167	8	gradient	gradient	ADJ
ap-8679	167	9	descent	descent	NOUN
ap-8679	167	10	technique	technique	NOUN
ap-8679	167	11	uses	use	VERB
ap-8679	167	12	a	a	DET
ap-8679	167	13	portion	portion	NOUN
ap-8679	167	14	of	of	ADP
ap-8679	167	15	the	the	DET
ap-8679	167	16	training	training	NOUN
ap-8679	167	17	data	datum	NOUN
ap-8679	167	18	for	for	ADP
ap-8679	167	19	each	each	DET
ap-8679	167	20	iteration	iteration	NOUN
ap-8679	167	21	to	to	PART
ap-8679	167	22	evaluate	evaluate	VERB
ap-8679	167	23	the	the	DET
ap-8679	167	24	gradient	gradient	NOUN
ap-8679	167	25	and	and	CCONJ
ap-8679	167	26	update	update	VERB
ap-8679	167	27	the	the	DET
ap-8679	167	28	parameters	parameter	NOUN
ap-8679	167	29	.	.	PUNCT
ap-8679	168	1	at	at	ADP
ap-8679	168	2	each	each	DET
ap-8679	168	3	iteration	iteration	NOUN
ap-8679	168	4	,	,	PUNCT
ap-8679	168	5	a	a	DET
ap-8679	168	6	distinct	distinct	ADJ
ap-8679	168	7	subset	subset	NOUN
ap-8679	168	8	,	,	PUNCT
ap-8679	168	9	known	know	VERB
ap-8679	168	10	as	as	ADP
ap-8679	168	11	a	a	DET
ap-8679	168	12	mini	mini	NOUN
ap-8679	168	13	-	-	NOUN
ap-8679	168	14	batch	batch	NOUN
ap-8679	168	15	,	,	PUNCT
ap-8679	168	16	is	be	AUX
ap-8679	168	17	used	use	VERB
ap-8679	168	18	to	to	PART
ap-8679	168	19	assess	assess	VERB
ap-8679	168	20	the	the	DET
ap-8679	168	21	gradient	gradient	NOUN
ap-8679	168	22	of	of	ADP
ap-8679	168	23	the	the	DET
ap-8679	168	24	loss	loss	NOUN
ap-8679	168	25	function	function	NOUN
ap-8679	168	26	and	and	CCONJ
ap-8679	168	27	update	update	VERB
ap-8679	168	28	the	the	DET
ap-8679	168	29	weights	weight	NOUN
ap-8679	168	30	.	.	PUNCT
ap-8679	169	1	•	•	NUM
ap-8679	169	2	the	the	DET
ap-8679	169	3	validation	validation	NOUN
ap-8679	169	4	frequency	frequency	NOUN
ap-8679	169	5	value	value	NOUN
ap-8679	169	6	indicates	indicate	VERB
ap-8679	169	7	how	how	SCONJ
ap-8679	169	8	many	many	ADJ
ap-8679	169	9	iterations	iteration	NOUN
ap-8679	169	10	between	between	ADP
ap-8679	169	11	evaluations	evaluation	NOUN
ap-8679	169	12	of	of	ADP
ap-8679	169	13	validation	validation	NOUN
ap-8679	169	14	metrics	metric	NOUN
ap-8679	169	15	.	.	PUNCT
ap-8679	170	1	to	to	PART
ap-8679	170	2	evaluate	evaluate	VERB
ap-8679	170	3	the	the	DET
ap-8679	170	4	performance	performance	NOUN
ap-8679	170	5	of	of	ADP
ap-8679	170	6	the	the	DET
ap-8679	170	7	trained	train	VERB
ap-8679	170	8	models	model	NOUN
ap-8679	170	9	,	,	PUNCT
ap-8679	170	10	we	we	PRON
ap-8679	170	11	used	use	VERB
ap-8679	170	12	the	the	DET
ap-8679	170	13	accuracy	accuracy	NOUN
ap-8679	170	14	parameter	parameter	NOUN
ap-8679	170	15	.	.	PUNCT
ap-8679	171	1	accuracy	accuracy	NOUN
ap-8679	171	2	is	be	AUX
ap-8679	171	3	termed	term	VERB
ap-8679	171	4	as	as	ADP
ap-8679	171	5	the	the	DET
ap-8679	171	6	ratio	ratio	NOUN
ap-8679	171	7	of	of	ADP
ap-8679	171	8	correctly	correctly	ADV
ap-8679	171	9	classified	classify	VERB
ap-8679	171	10	images	image	NOUN
ap-8679	171	11	over	over	ADP
ap-8679	171	12	the	the	DET
ap-8679	171	13	total	total	ADJ
ap-8679	171	14	number	number	NOUN
ap-8679	171	15	of	of	ADP
ap-8679	171	16	images	image	NOUN
ap-8679	171	17	.	.	PUNCT
ap-8679	172	1	the	the	DET
ap-8679	172	2	following	follow	VERB
ap-8679	172	3	formula	formula	NOUN
ap-8679	172	4	(	(	PUNCT
ap-8679	172	5	3	3	X
ap-8679	172	6	)	)	PUNCT
ap-8679	172	7	is	be	AUX
ap-8679	172	8	used	use	VERB
ap-8679	172	9	:	:	PUNCT
ap-8679	172	10	accuracy	accuracy	NOUN
ap-8679	172	11	=	=	PRON
ap-8679	172	12	tp	tp	X
ap-8679	172	13	+	+	CCONJ
ap-8679	172	14	tn	tn	NOUN
ap-8679	172	15	tp	tp	ADP
ap-8679	172	16	+	+	CCONJ
ap-8679	172	17	tn	tn	PROPN
ap-8679	172	18	+	+	NUM
ap-8679	172	19	fp	fp	PROPN
ap-8679	172	20	+	+	X
ap-8679	172	21	fn	fn	NOUN
ap-8679	172	22	.	.	PUNCT
ap-8679	173	1	(	(	PUNCT
ap-8679	173	2	3	3	X
ap-8679	173	3	)	)	PUNCT
ap-8679	173	4	as	as	SCONJ
ap-8679	173	5	indicated	indicate	VERB
ap-8679	173	6	in	in	ADP
ap-8679	173	7	formula	formula	NOUN
ap-8679	173	8	(	(	PUNCT
ap-8679	173	9	3	3	NUM
ap-8679	173	10	)	)	PUNCT
ap-8679	173	11	,	,	PUNCT
ap-8679	173	12	accuracy	accuracy	NOUN
ap-8679	173	13	is	be	AUX
ap-8679	173	14	calculated	calculate	VERB
ap-8679	173	15	by	by	ADP
ap-8679	173	16	dividing	divide	VERB
ap-8679	173	17	the	the	DET
ap-8679	173	18	sum	sum	NOUN
ap-8679	173	19	of	of	ADP
ap-8679	173	20	the	the	DET
ap-8679	173	21	true	true	ADJ
ap-8679	173	22	positive	positive	ADJ
ap-8679	173	23	(	(	PUNCT
ap-8679	173	24	tp	tp	NOUN
ap-8679	173	25	)	)	PUNCT
ap-8679	173	26	and	and	CCONJ
ap-8679	173	27	true	true	ADJ
ap-8679	173	28	negative	negative	ADJ
ap-8679	173	29	(	(	PUNCT
ap-8679	173	30	tn	tn	NOUN
ap-8679	173	31	)	)	PUNCT
ap-8679	173	32	classes	class	NOUN
ap-8679	173	33	by	by	ADP
ap-8679	173	34	the	the	DET
ap-8679	173	35	sum	sum	NOUN
ap-8679	173	36	of	of	ADP
ap-8679	173	37	the	the	DET
ap-8679	173	38	true	true	ADJ
ap-8679	173	39	positive	positive	ADJ
ap-8679	173	40	,	,	PUNCT
ap-8679	173	41	true	true	ADJ
ap-8679	173	42	negative	negative	ADJ
ap-8679	173	43	,	,	PUNCT
ap-8679	173	44	false	false	ADJ
ap-8679	173	45	positive	positive	ADJ
ap-8679	173	46	(	(	PUNCT
ap-8679	173	47	fp	fp	INTJ
ap-8679	173	48	)	)	PUNCT
ap-8679	173	49	,	,	PUNCT
ap-8679	173	50	and	and	CCONJ
ap-8679	173	51	false	false	ADJ
ap-8679	173	52	negative	negative	ADJ
ap-8679	173	53	(	(	PUNCT
ap-8679	173	54	fn	fn	NOUN
ap-8679	173	55	)	)	PUNCT
ap-8679	173	56	classes	class	NOUN
ap-8679	173	57	.	.	PUNCT
ap-8679	174	1	we	we	PRON
ap-8679	174	2	can	can	AUX
ap-8679	174	3	conclude	conclude	VERB
ap-8679	174	4	from	from	ADP
ap-8679	174	5	table	table	NOUN
ap-8679	174	6	4	4	NUM
ap-8679	174	7	that	that	PRON
ap-8679	174	8	the	the	DET
ap-8679	174	9	suggested	suggest	VERB
ap-8679	174	10	approach	approach	NOUN
ap-8679	174	11	based	base	VERB
ap-8679	174	12	on	on	ADP
ap-8679	174	13	the	the	DET
ap-8679	174	14	cnn	cnn	PROPN
ap-8679	174	15	produced	produce	VERB
ap-8679	174	16	satisfactory	satisfactory	ADJ
ap-8679	174	17	results	result	NOUN
ap-8679	174	18	.	.	PUNCT
ap-8679	175	1	after	after	ADP
ap-8679	175	2	20	20	NUM
ap-8679	175	3	epochs	epoch	NOUN
ap-8679	175	4	,	,	PUNCT
ap-8679	175	5	the	the	DET
ap-8679	175	6	best	good	ADJ
ap-8679	175	7	recognition	recognition	NOUN
ap-8679	175	8	rate	rate	NOUN
ap-8679	175	9	was	be	AUX
ap-8679	175	10	87.4	87.4	NUM
ap-8679	175	11	%	%	NOUN
ap-8679	175	12	.	.	PUNCT
ap-8679	176	1	the	the	DET
ap-8679	176	2	results	result	NOUN
ap-8679	176	3	are	be	AUX
ap-8679	176	4	not	not	PART
ap-8679	176	5	enhanced	enhance	VERB
ap-8679	176	6	by	by	ADP
ap-8679	176	7	adding	add	VERB
ap-8679	176	8	more	more	ADJ
ap-8679	176	9	epochs	epoch	NOUN
ap-8679	176	10	;	;	PUNCT
ap-8679	176	11	rather	rather	ADV
ap-8679	176	12	,	,	PUNCT
ap-8679	176	13	the	the	DET
ap-8679	176	14	opposite	opposite	NOUN
ap-8679	176	15	has	have	AUX
ap-8679	176	16	happened	happen	VERB
ap-8679	176	17	.	.	PUNCT
ap-8679	177	1	however	however	ADV
ap-8679	177	2	,	,	PUNCT
ap-8679	177	3	we	we	PRON
ap-8679	177	4	think	think	VERB
ap-8679	177	5	that	that	SCONJ
ap-8679	177	6	these	these	DET
ap-8679	177	7	results	result	NOUN
ap-8679	177	8	can	can	AUX
ap-8679	177	9	still	still	ADV
ap-8679	177	10	be	be	AUX
ap-8679	177	11	improved	improve	VERB
ap-8679	177	12	.	.	PUNCT
ap-8679	178	1	to	to	ADP
ap-8679	178	2	this	this	DET
ap-8679	178	3	end	end	NOUN
ap-8679	178	4	,	,	PUNCT
ap-8679	178	5	we	we	PRON
ap-8679	178	6	will	will	AUX
ap-8679	178	7	use	use	VERB
ap-8679	178	8	a	a	DET
ap-8679	178	9	variety	variety	NOUN
ap-8679	178	10	of	of	ADP
ap-8679	178	11	pretrained	pretraine	VERB
ap-8679	178	12	models	model	NOUN
ap-8679	178	13	in	in	ADP
ap-8679	178	14	the	the	DET
ap-8679	178	15	sections	section	NOUN
ap-8679	178	16	that	that	PRON
ap-8679	178	17	follow	follow	VERB
ap-8679	178	18	.	.	PUNCT
ap-8679	179	1	it	it	PRON
ap-8679	179	2	is	be	AUX
ap-8679	179	3	anticipated	anticipate	VERB
ap-8679	179	4	that	that	SCONJ
ap-8679	179	5	these	these	DET
ap-8679	179	6	models	model	NOUN
ap-8679	179	7	will	will	AUX
ap-8679	179	8	aid	aid	VERB
ap-8679	179	9	in	in	ADP
ap-8679	179	10	the	the	DET
ap-8679	179	11	better	well	ADJ
ap-8679	179	12	diagnosis	diagnosis	NOUN
ap-8679	179	13	and	and	CCONJ
ap-8679	179	14	assessment	assessment	NOUN
ap-8679	179	15	of	of	ADP
ap-8679	179	16	eye	eye	NOUN
ap-8679	179	17	illnesses	illness	NOUN
ap-8679	179	18	.	.	PUNCT
ap-8679	180	1	so	so	ADV
ap-8679	180	2	,	,	PUNCT
ap-8679	180	3	we	we	PRON
ap-8679	180	4	observe	observe	VERB
ap-8679	180	5	that	that	SCONJ
ap-8679	180	6	while	while	SCONJ
ap-8679	180	7	increasing	increase	VERB
ap-8679	180	8	the	the	DET
ap-8679	180	9	number	number	NOUN
ap-8679	180	10	of	of	ADP
ap-8679	180	11	epochs	epoch	NOUN
ap-8679	180	12	,	,	PUNCT
ap-8679	180	13	the	the	DET
ap-8679	180	14	execution	execution	NOUN
ap-8679	180	15	time	time	NOUN
ap-8679	180	16	increases	increase	VERB
ap-8679	180	17	without	without	ADP
ap-8679	180	18	improving	improve	VERB
ap-8679	180	19	the	the	DET
ap-8679	180	20	accuracy	accuracy	NOUN
ap-8679	180	21	.	.	PUNCT
ap-8679	181	1	this	this	PRON
ap-8679	181	2	is	be	AUX
ap-8679	181	3	the	the	DET
ap-8679	181	4	reason	reason	NOUN
ap-8679	181	5	5	5	NUM
ap-8679	181	6	s.	s.	PROPN
ap-8679	181	7	benbakreti	benbakreti	PROPN
ap-8679	181	8	,	,	PUNCT
ap-8679	181	9	s.	s.	PROPN
ap-8679	181	10	benbakreti	benbakreti	PROPN
ap-8679	181	11	,	,	PUNCT
ap-8679	181	12	u.	u.	PROPN
ap-8679	181	13	ozkaya	ozkaya	PROPN
ap-8679	181	14	acta	acta	PROPN
ap-8679	181	15	polytechnica	polytechnica	PROPN
ap-8679	181	16	the	the	DET
ap-8679	181	17	cnn	cnn	PROPN
ap-8679	181	18	model	model	NOUN
ap-8679	181	19	5	5	NUM
ap-8679	181	20	epochs	epoch	NOUN
ap-8679	181	21	10	10	NUM
ap-8679	181	22	epochs	epoch	NOUN
ap-8679	181	23	15	15	NUM
ap-8679	181	24	epochs	epoch	NOUN
ap-8679	181	25	20	20	NUM
ap-8679	181	26	epochs	epoch	NOUN
ap-8679	181	27	accuracy	accuracy	NOUN
ap-8679	181	28	82.46	82.46	NUM
ap-8679	181	29	%	%	NOUN
ap-8679	181	30	77.7	77.7	NUM
ap-8679	181	31	%	%	NOUN
ap-8679	181	32	85.2	85.2	NUM
ap-8679	181	33	%	%	NOUN
ap-8679	181	34	87.4	87.4	NUM
ap-8679	181	35	%	%	NOUN
ap-8679	181	36	gpu	gpu	NOUN
ap-8679	181	37	execution	execution	NOUN
ap-8679	181	38	time	time	NOUN
ap-8679	181	39	67	67	NUM
ap-8679	181	40	m	m	NOUN
ap-8679	181	41	22	22	NUM
ap-8679	181	42	s	s	NOUN
ap-8679	181	43	133	133	NUM
ap-8679	181	44	m	m	NUM
ap-8679	181	45	44	44	NUM
ap-8679	181	46	s	s	NUM
ap-8679	181	47	198	198	NUM
ap-8679	181	48	m	m	NOUN
ap-8679	181	49	20	20	NUM
ap-8679	181	50	s	s	NUM
ap-8679	181	51	253	253	NUM
ap-8679	181	52	m	m	NUM
ap-8679	181	53	30	30	NUM
ap-8679	181	54	s	s	PART
ap-8679	181	55	table	table	NOUN
ap-8679	181	56	4	4	NUM
ap-8679	181	57	.	.	PUNCT
ap-8679	182	1	the	the	DET
ap-8679	182	2	results	result	NOUN
ap-8679	182	3	of	of	ADP
ap-8679	182	4	the	the	DET
ap-8679	182	5	cnn	cnn	PROPN
ap-8679	182	6	model	model	NOUN
ap-8679	182	7	(	(	PUNCT
ap-8679	182	8	image	image	NOUN
ap-8679	182	9	input	input	NOUN
ap-8679	182	10	256	256	NUM
ap-8679	182	11	*	*	SYM
ap-8679	182	12	256	256	NUM
ap-8679	182	13	)	)	PUNCT
ap-8679	182	14	.	.	PUNCT
ap-8679	183	1	figure	figure	VERB
ap-8679	183	2	4	4	NUM
ap-8679	183	3	.	.	PUNCT
ap-8679	184	1	the	the	DET
ap-8679	184	2	results	result	NOUN
ap-8679	184	3	of	of	ADP
ap-8679	184	4	cnn	cnn	PROPN
ap-8679	184	5	model	model	NOUN
ap-8679	184	6	after	after	ADP
ap-8679	184	7	20	20	NUM
ap-8679	184	8	epochs	epoch	NOUN
ap-8679	184	9	.	.	PUNCT
ap-8679	185	1	why	why	SCONJ
ap-8679	185	2	we	we	PRON
ap-8679	185	3	did	do	AUX
ap-8679	185	4	not	not	PART
ap-8679	185	5	go	go	VERB
ap-8679	185	6	beyond	beyond	ADP
ap-8679	185	7	20	20	NUM
ap-8679	185	8	epochs	epoch	NOUN
ap-8679	185	9	.	.	PUNCT
ap-8679	186	1	figures	figure	NOUN
ap-8679	186	2	4	4	NUM
ap-8679	186	3	and	and	CCONJ
ap-8679	186	4	5	5	NUM
ap-8679	186	5	mention	mention	VERB
ap-8679	186	6	the	the	DET
ap-8679	186	7	accuracy	accuracy	NOUN
ap-8679	186	8	of	of	ADP
ap-8679	186	9	cnn	cnn	PROPN
ap-8679	186	10	,	,	PUNCT
ap-8679	186	11	the	the	DET
ap-8679	186	12	loss	loss	NOUN
ap-8679	186	13	function	function	NOUN
ap-8679	186	14	of	of	ADP
ap-8679	186	15	the	the	DET
ap-8679	186	16	same	same	ADJ
ap-8679	186	17	model	model	NOUN
ap-8679	186	18	,	,	PUNCT
ap-8679	186	19	and	and	CCONJ
ap-8679	186	20	the	the	DET
ap-8679	186	21	confusion	confusion	NOUN
ap-8679	186	22	matrix	matrix	NOUN
ap-8679	186	23	,	,	PUNCT
ap-8679	186	24	respectively	respectively	ADV
ap-8679	186	25	.	.	PUNCT
ap-8679	187	1	5.2	5.2	NUM
ap-8679	187	2	.	.	PUNCT
ap-8679	188	1	the	the	DET
ap-8679	188	2	proposed	propose	VERB
ap-8679	188	3	pretrained	pretraine	VERB
ap-8679	188	4	models	model	NOUN
ap-8679	188	5	5.2.1	5.2.1	NUM
ap-8679	188	6	.	.	PUNCT
ap-8679	189	1	yolo	yolo	PROPN
ap-8679	189	2	v3	v3	PROPN
ap-8679	189	3	yolov3	yolov3	PROPN
ap-8679	189	4	employs	employ	VERB
ap-8679	189	5	darknet-53	darknet-53	PROPN
ap-8679	189	6	,	,	PUNCT
ap-8679	189	7	a	a	DET
ap-8679	189	8	brand	brand	NOUN
ap-8679	189	9	-	-	PUNCT
ap-8679	189	10	new	new	ADJ
ap-8679	189	11	network	network	NOUN
ap-8679	189	12	inspired	inspire	VERB
ap-8679	189	13	by	by	ADP
ap-8679	189	14	resnet	resnet	NOUN
ap-8679	189	15	,	,	PUNCT
ap-8679	189	16	to	to	PART
ap-8679	189	17	extract	extract	VERB
ap-8679	189	18	features	feature	NOUN
ap-8679	189	19	.	.	PUNCT
ap-8679	190	1	the	the	DET
ap-8679	190	2	yolov3	yolov3	PROPN
ap-8679	190	3	architecture	architecture	NOUN
ap-8679	190	4	has	have	VERB
ap-8679	190	5	3	3	NUM
ap-8679	190	6	prediction	prediction	NOUN
ap-8679	190	7	heads	head	NOUN
ap-8679	190	8	,	,	PUNCT
ap-8679	190	9	53	53	NUM
ap-8679	190	10	convolutions	convolution	NOUN
ap-8679	190	11	,	,	PUNCT
ap-8679	190	12	and	and	CCONJ
ap-8679	190	13	skip	skip	ADJ
ap-8679	190	14	connections	connection	NOUN
ap-8679	190	15	similar	similar	ADJ
ap-8679	190	16	to	to	ADP
ap-8679	190	17	resnet	resnet	NOUN
ap-8679	190	18	.	.	PUNCT
ap-8679	191	1	each	each	DET
ap-8679	191	2	one	one	NOUN
ap-8679	191	3	compresses	compress	VERB
ap-8679	191	4	the	the	DET
ap-8679	191	5	image	image	NOUN
ap-8679	191	6	differently	differently	ADV
ap-8679	191	7	in	in	ADP
ap-8679	191	8	terms	term	NOUN
ap-8679	191	9	of	of	ADP
ap-8679	191	10	space	space	NOUN
ap-8679	191	11	.	.	PUNCT
ap-8679	192	1	and	and	CCONJ
ap-8679	192	2	by	by	ADP
ap-8679	192	3	clustering	clustering	NOUN
ap-8679	192	4	,	,	PUNCT
ap-8679	192	5	a	a	DET
ap-8679	192	6	total	total	NOUN
ap-8679	192	7	of	of	ADP
ap-8679	192	8	nine	nine	NUM
ap-8679	192	9	preceding	precede	VERB
ap-8679	192	10	bounding	bounding	NOUN
ap-8679	192	11	boxes	box	NOUN
ap-8679	192	12	of	of	ADP
ap-8679	192	13	various	various	ADJ
ap-8679	192	14	sizes	size	NOUN
ap-8679	192	15	can	can	AUX
ap-8679	192	16	be	be	AUX
ap-8679	192	17	generated	generate	VERB
ap-8679	192	18	.	.	PUNCT
ap-8679	193	1	the	the	DET
ap-8679	193	2	yolov3	yolov3	PROPN
ap-8679	193	3	architecture	architecture	NOUN
ap-8679	193	4	is	be	AUX
ap-8679	193	5	used	use	VERB
ap-8679	193	6	exactly	exactly	ADV
ap-8679	193	7	as	as	SCONJ
ap-8679	193	8	described	describe	VERB
ap-8679	193	9	in	in	ADP
ap-8679	193	10	[	[	X
ap-8679	193	11	32	32	NUM
ap-8679	193	12	]	]	PUNCT
ap-8679	193	13	.	.	PUNCT
ap-8679	194	1	the	the	DET
ap-8679	194	2	original	original	ADJ
ap-8679	194	3	fundus	fundus	NOUN
ap-8679	194	4	images	image	NOUN
ap-8679	194	5	were	be	AUX
ap-8679	194	6	scaled	scale	VERB
ap-8679	194	7	and	and	CCONJ
ap-8679	194	8	transformed	transform	VERB
ap-8679	194	9	to	to	ADP
ap-8679	194	10	rgb	rgb	PROPN
ap-8679	194	11	pictures	picture	NOUN
ap-8679	194	12	in	in	ADP
ap-8679	194	13	order	order	NOUN
ap-8679	194	14	to	to	PART
ap-8679	194	15	fit	fit	VERB
ap-8679	194	16	each	each	DET
ap-8679	194	17	pretrained	pretraine	VERB
ap-8679	194	18	model	model	NOUN
ap-8679	194	19	’s	’s	PART
ap-8679	194	20	input	input	NOUN
ap-8679	194	21	image	image	NOUN
ap-8679	194	22	size	size	NOUN
ap-8679	194	23	.	.	PUNCT
ap-8679	195	1	the	the	DET
ap-8679	195	2	learning	learning	NOUN
ap-8679	195	3	rate	rate	NOUN
ap-8679	195	4	was	be	AUX
ap-8679	195	5	maintained	maintain	VERB
ap-8679	195	6	throughout	throughout	ADP
ap-8679	195	7	training	training	NOUN
ap-8679	195	8	for	for	ADP
ap-8679	195	9	the	the	DET
ap-8679	195	10	training	training	NOUN
ap-8679	195	11	options	option	NOUN
ap-8679	195	12	,	,	PUNCT
ap-8679	195	13	validation	validation	NOUN
ap-8679	195	14	data	datum	NOUN
ap-8679	195	15	and	and	CCONJ
ap-8679	195	16	training	training	NOUN
ap-8679	195	17	data	datum	NOUN
ap-8679	195	18	were	be	AUX
ap-8679	195	19	both	both	PRON
ap-8679	195	20	shuffled	shuffle	VERB
ap-8679	195	21	prior	prior	ADV
ap-8679	195	22	to	to	ADP
ap-8679	195	23	each	each	DET
ap-8679	195	24	network	network	NOUN
ap-8679	195	25	validation	validation	NOUN
ap-8679	195	26	.	.	PUNCT
ap-8679	196	1	5.2.2	5.2.2	NUM
ap-8679	196	2	.	.	PUNCT
ap-8679	196	3	alexnet	alexnet	ADJ
ap-8679	196	4	alexnet	alexnet	NOUN
ap-8679	196	5	is	be	AUX
ap-8679	196	6	an	an	DET
ap-8679	196	7	eight	eight	NUM
ap-8679	196	8	layer	layer	NOUN
ap-8679	196	9	convolutional	convolutional	ADJ
ap-8679	196	10	neural	neural	ADJ
ap-8679	196	11	network	network	NOUN
ap-8679	196	12	[	[	X
ap-8679	196	13	33	33	NUM
ap-8679	196	14	]	]	PUNCT
ap-8679	196	15	made	make	VERB
ap-8679	196	16	up	up	ADP
ap-8679	196	17	of	of	ADP
ap-8679	196	18	five	five	NUM
ap-8679	196	19	convolutional	convolutional	ADJ
ap-8679	196	20	layers	layer	NOUN
ap-8679	196	21	with	with	ADP
ap-8679	196	22	convolutional	convolutional	ADJ
ap-8679	196	23	filter	filter	NOUN
ap-8679	196	24	sizes	size	NOUN
ap-8679	196	25	of	of	ADP
ap-8679	196	26	three	three	NUM
ap-8679	196	27	by	by	ADP
ap-8679	196	28	three	three	NUM
ap-8679	196	29	and	and	CCONJ
ap-8679	196	30	two	two	NUM
ap-8679	196	31	by	by	ADP
ap-8679	196	32	two	two	NUM
ap-8679	196	33	for	for	ADP
ap-8679	196	34	the	the	DET
ap-8679	196	35	maximum	maximum	ADJ
ap-8679	196	36	pooling	pool	VERB
ap-8679	196	37	operation	operation	NOUN
ap-8679	196	38	.	.	PUNCT
ap-8679	197	1	fully	fully	ADV
ap-8679	197	2	connected	connected	ADJ
ap-8679	197	3	layers	layer	NOUN
ap-8679	197	4	are	be	AUX
ap-8679	197	5	the	the	DET
ap-8679	197	6	final	final	ADJ
ap-8679	197	7	three	three	NUM
ap-8679	197	8	layers	layer	NOUN
ap-8679	197	9	.	.	PUNCT
ap-8679	198	1	alexnet	alexnet	PROPN
ap-8679	198	2	uses	use	VERB
ap-8679	198	3	relu	relu	NOUN
ap-8679	198	4	as	as	SCONJ
ap-8679	198	5	the	the	DET
ap-8679	198	6	activation	activation	NOUN
ap-8679	198	7	function	function	VERB
ap-8679	198	8	rather	rather	ADV
ap-8679	198	9	than	than	ADP
ap-8679	198	10	the	the	DET
ap-8679	198	11	conventional	conventional	ADJ
ap-8679	198	12	sigmoid	sigmoid	NOUN
ap-8679	198	13	and	and	CCONJ
ap-8679	198	14	tanh	tanh	NOUN
ap-8679	198	15	functions	function	NOUN
ap-8679	198	16	,	,	PUNCT
ap-8679	198	17	which	which	PRON
ap-8679	198	18	is	be	AUX
ap-8679	198	19	different	different	ADJ
ap-8679	198	20	from	from	ADP
ap-8679	198	21	previous	previous	ADJ
ap-8679	198	22	neural	neural	ADJ
ap-8679	198	23	networks	network	NOUN
ap-8679	198	24	.	.	PUNCT
ap-8679	199	1	relu	relu	NOUN
ap-8679	199	2	is	be	AUX
ap-8679	199	3	an	an	DET
ap-8679	199	4	unsaturated	unsaturated	ADJ
ap-8679	199	5	activation	activation	NOUN
ap-8679	199	6	function	function	NOUN
ap-8679	199	7	that	that	SCONJ
ap-8679	199	8	not	not	PART
ap-8679	199	9	only	only	ADV
ap-8679	199	10	significantly	significantly	ADV
ap-8679	199	11	accelerates	accelerate	VERB
ap-8679	199	12	the	the	DET
ap-8679	199	13	model	model	NOUN
ap-8679	199	14	’s	’s	PART
ap-8679	199	15	training	training	NOUN
ap-8679	199	16	time	time	NOUN
ap-8679	199	17	,	,	PUNCT
ap-8679	199	18	but	but	CCONJ
ap-8679	199	19	also	also	ADV
ap-8679	199	20	more	more	ADV
ap-8679	199	21	effectively	effectively	ADV
ap-8679	199	22	addresses	address	VERB
ap-8679	199	23	the	the	DET
ap-8679	199	24	gradient	gradient	ADJ
ap-8679	199	25	disappearance	disappearance	NOUN
ap-8679	199	26	and	and	CCONJ
ap-8679	199	27	gradient	gradient	ADJ
ap-8679	199	28	explosion	explosion	NOUN
ap-8679	199	29	issues	issue	NOUN
ap-8679	199	30	,	,	PUNCT
ap-8679	199	31	making	make	VERB
ap-8679	199	32	it	it	PRON
ap-8679	199	33	simple	simple	ADJ
ap-8679	199	34	to	to	PART
ap-8679	199	35	train	train	VERB
ap-8679	199	36	a	a	DET
ap-8679	199	37	deeper	deep	ADJ
ap-8679	199	38	network	network	NOUN
ap-8679	199	39	.	.	PUNCT
ap-8679	200	1	the	the	DET
ap-8679	200	2	alexnet	alexnet	PROPN
ap-8679	200	3	model	model	NOUN
ap-8679	200	4	’s	’s	PART
ap-8679	200	5	standard	standard	ADJ
ap-8679	200	6	input	input	NOUN
ap-8679	200	7	size	size	NOUN
ap-8679	200	8	is	be	AUX
ap-8679	200	9	227	227	NUM
ap-8679	200	10	*	*	SYM
ap-8679	200	11	227	227	NUM
ap-8679	200	12	*	*	SYM
ap-8679	200	13	3	3	NUM
ap-8679	200	14	.	.	X
ap-8679	201	1	5.2.3	5.2.3	NUM
ap-8679	201	2	.	.	NOUN
ap-8679	201	3	resnet	resnet	VERB
ap-8679	201	4	50	50	NUM
ap-8679	201	5	a	a	DET
ap-8679	201	6	resnet	resnet	NOUN
ap-8679	201	7	deep	deep	ADJ
ap-8679	201	8	residual	residual	ADJ
ap-8679	201	9	learning	learning	NOUN
ap-8679	201	10	network	network	NOUN
ap-8679	201	11	introduces	introduce	VERB
ap-8679	201	12	the	the	DET
ap-8679	201	13	residual	residual	ADJ
ap-8679	201	14	block	block	NOUN
ap-8679	201	15	notion	notion	NOUN
ap-8679	201	16	[	[	X
ap-8679	201	17	34	34	NUM
ap-8679	201	18	]	]	PUNCT
ap-8679	201	19	.	.	PUNCT
ap-8679	202	1	through	through	ADP
ap-8679	202	2	residual	residual	ADJ
ap-8679	202	3	blocks	block	NOUN
ap-8679	202	4	,	,	PUNCT
ap-8679	202	5	the	the	DET
ap-8679	202	6	output	output	NOUN
ap-8679	202	7	of	of	ADP
ap-8679	202	8	the	the	DET
ap-8679	202	9	second	second	ADJ
ap-8679	202	10	block	block	NOUN
ap-8679	202	11	is	be	AUX
ap-8679	202	12	linked	link	VERB
ap-8679	202	13	to	to	ADP
ap-8679	202	14	the	the	DET
ap-8679	202	15	input	input	NOUN
ap-8679	202	16	of	of	ADP
ap-8679	202	17	the	the	DET
ap-8679	202	18	first	first	ADJ
ap-8679	202	19	block	block	NOUN
ap-8679	202	20	.	.	PUNCT
ap-8679	203	1	the	the	DET
ap-8679	203	2	residual	residual	ADJ
ap-8679	203	3	block	block	NOUN
ap-8679	203	4	can	can	AUX
ap-8679	203	5	learn	learn	VERB
ap-8679	203	6	about	about	ADP
ap-8679	203	7	the	the	DET
ap-8679	203	8	residual	residual	ADJ
ap-8679	203	9	function	function	NOUN
ap-8679	203	10	using	use	VERB
ap-8679	203	11	this	this	DET
ap-8679	203	12	method	method	NOUN
ap-8679	203	13	without	without	ADP
ap-8679	203	14	inflating	inflate	VERB
ap-8679	203	15	the	the	DET
ap-8679	203	16	parameters	parameter	NOUN
ap-8679	203	17	.	.	PUNCT
ap-8679	204	1	a	a	DET
ap-8679	204	2	convolutional	convolutional	ADJ
ap-8679	204	3	layer	layer	NOUN
ap-8679	204	4	,	,	PUNCT
ap-8679	204	5	48	48	NUM
ap-8679	204	6	6	6	NUM
ap-8679	204	7	vol	vol	NOUN
ap-8679	204	8	.	.	PROPN
ap-8679	204	9	64	64	NUM
ap-8679	205	1	no	no	NOUN
ap-8679	205	2	.	.	PUNCT
ap-8679	206	1	1/2024	1/2024	NUM
ap-8679	206	2	cnn	cnn	PROPN
ap-8679	206	3	-	-	PUNCT
ap-8679	206	4	based	base	VERB
ap-8679	206	5	eye	eye	NOUN
ap-8679	206	6	disease	disease	NOUN
ap-8679	206	7	classification	classification	NOUN
ap-8679	206	8	from	from	ADP
ap-8679	206	9	fundus	fundus	NOUN
ap-8679	206	10	images	image	NOUN
ap-8679	206	11	figure	figure	NOUN
ap-8679	206	12	5	5	NUM
ap-8679	206	13	.	.	PUNCT
ap-8679	207	1	the	the	DET
ap-8679	207	2	confusion	confusion	NOUN
ap-8679	207	3	matrix	matrix	NOUN
ap-8679	207	4	of	of	ADP
ap-8679	207	5	cnn	cnn	PROPN
ap-8679	207	6	model	model	NOUN
ap-8679	207	7	after	after	ADP
ap-8679	207	8	20	20	NUM
ap-8679	207	9	epochs	epoch	NOUN
ap-8679	207	10	.	.	PUNCT
ap-8679	207	11	residual	residual	ADJ
ap-8679	207	12	blocks	block	NOUN
ap-8679	207	13	,	,	PUNCT
ap-8679	207	14	and	and	CCONJ
ap-8679	207	15	a	a	DET
ap-8679	207	16	classifier	classifier	NOUN
ap-8679	207	17	layer	layer	NOUN
ap-8679	207	18	with	with	ADP
ap-8679	207	19	eleven	eleven	NUM
ap-8679	207	20	and	and	CCONJ
ap-8679	207	21	thirty	thirty	NUM
ap-8679	207	22	-	-	PUNCT
ap-8679	207	23	three	three	NUM
ap-8679	207	24	tiny	tiny	ADJ
ap-8679	207	25	filters	filter	NOUN
ap-8679	207	26	make	make	VERB
ap-8679	207	27	up	up	ADP
ap-8679	207	28	the	the	DET
ap-8679	207	29	50	50	NUM
ap-8679	207	30	-	-	PUNCT
ap-8679	207	31	layer	layer	NOUN
ap-8679	207	32	residual	residual	ADJ
ap-8679	207	33	block	block	NOUN
ap-8679	207	34	known	know	VERB
ap-8679	207	35	as	as	ADP
ap-8679	207	36	resnet	resnet	NOUN
ap-8679	207	37	50	50	NUM
ap-8679	207	38	.	.	PUNCT
ap-8679	207	39	5.2.4	5.2.4	NUM
ap-8679	207	40	.	.	PUNCT
ap-8679	208	1	googlenet	googlenet	NOUN
ap-8679	208	2	(	(	PUNCT
ap-8679	208	3	inception	inception	PROPN
ap-8679	208	4	v3	v3	PROPN
ap-8679	208	5	)	)	PUNCT
ap-8679	208	6	googlenet	googlenet	NOUN
ap-8679	208	7	contains	contain	VERB
ap-8679	208	8	50	50	NUM
ap-8679	208	9	layers	layer	NOUN
ap-8679	208	10	and	and	CCONJ
ap-8679	208	11	is	be	AUX
ap-8679	208	12	a	a	DET
ap-8679	208	13	convolutional	convolutional	ADJ
ap-8679	208	14	neural	neural	ADJ
ap-8679	208	15	network	network	NOUN
ap-8679	208	16	[	[	X
ap-8679	208	17	35	35	NUM
ap-8679	208	18	]	]	PUNCT
ap-8679	208	19	.	.	PUNCT
ap-8679	209	1	the	the	DET
ap-8679	209	2	algorithm	algorithm	NOUN
ap-8679	209	3	,	,	PUNCT
ap-8679	209	4	named	name	VERB
ap-8679	209	5	“	"	PUNCT
ap-8679	209	6	going	go	VERB
ap-8679	209	7	deeper	deeply	ADV
ap-8679	209	8	with	with	ADP
ap-8679	209	9	convolutions	convolution	NOUN
ap-8679	209	10	,	,	PUNCT
ap-8679	209	11	”	"	PUNCT
ap-8679	209	12	was	be	AUX
ap-8679	209	13	developed	develop	VERB
ap-8679	209	14	and	and	CCONJ
ap-8679	209	15	trained	train	VERB
ap-8679	209	16	by	by	ADP
ap-8679	209	17	google	google	PROPN
ap-8679	209	18	.	.	PUNCT
ap-8679	210	1	the	the	DET
ap-8679	210	2	development	development	NOUN
ap-8679	210	3	of	of	ADP
ap-8679	210	4	the	the	DET
ap-8679	210	5	inception	inception	NOUN
ap-8679	210	6	module	module	NOUN
ap-8679	210	7	,	,	PUNCT
ap-8679	210	8	which	which	PRON
ap-8679	210	9	consists	consist	VERB
ap-8679	210	10	of	of	ADP
ap-8679	210	11	a	a	DET
ap-8679	210	12	series	series	NOUN
ap-8679	210	13	of	of	ADP
ap-8679	210	14	1	1	NUM
ap-8679	210	15	-	-	PUNCT
ap-8679	210	16	by-1	by-1	NOUN
ap-8679	210	17	convolutional	convolutional	ADJ
ap-8679	210	18	layers	layer	NOUN
ap-8679	210	19	/	/	SYM
ap-8679	210	20	blocks	block	NOUN
ap-8679	210	21	used	use	VERB
ap-8679	210	22	for	for	ADP
ap-8679	210	23	dimensionality	dimensionality	NOUN
ap-8679	210	24	reduction	reduction	NOUN
ap-8679	210	25	and	and	CCONJ
ap-8679	210	26	feature	feature	NOUN
ap-8679	210	27	aggregation	aggregation	NOUN
ap-8679	210	28	,	,	PUNCT
ap-8679	210	29	is	be	AUX
ap-8679	210	30	the	the	DET
ap-8679	210	31	key	key	ADJ
ap-8679	210	32	component	component	NOUN
ap-8679	210	33	of	of	ADP
ap-8679	210	34	googlenet	googlenet	NOUN
ap-8679	210	35	/	/	SYM
ap-8679	210	36	inception	inception	NOUN
ap-8679	210	37	architecture	architecture	NOUN
ap-8679	210	38	.	.	PUNCT
ap-8679	211	1	this	this	DET
ap-8679	211	2	model	model	NOUN
ap-8679	211	3	had	have	VERB
ap-8679	211	4	9	9	NUM
ap-8679	211	5	inception	inception	NOUN
ap-8679	211	6	modules	module	NOUN
ap-8679	211	7	and	and	CCONJ
ap-8679	211	8	a	a	DET
ap-8679	211	9	total	total	NOUN
ap-8679	211	10	of	of	ADP
ap-8679	211	11	22	22	NUM
ap-8679	211	12	layers	layer	NOUN
ap-8679	211	13	.	.	PUNCT
ap-8679	212	1	up	up	ADP
ap-8679	212	2	to	to	PART
ap-8679	212	3	1	1	NUM
ap-8679	212	4	000	000	NUM
ap-8679	212	5	objects	object	NOUN
ap-8679	212	6	can	can	AUX
ap-8679	212	7	be	be	AUX
ap-8679	212	8	classified	classify	VERB
ap-8679	212	9	using	use	VERB
ap-8679	212	10	the	the	DET
ap-8679	212	11	pretrained	pretraine	VERB
ap-8679	212	12	version	version	NOUN
ap-8679	212	13	of	of	ADP
ap-8679	212	14	inceptionv3	inceptionv3	NOUN
ap-8679	212	15	with	with	SCONJ
ap-8679	212	16	the	the	DET
ap-8679	212	17	imagenet	imagenet	NOUN
ap-8679	212	18	dataset	dataset	VERB
ap-8679	213	1	[	[	X
ap-8679	213	2	36	36	NUM
ap-8679	213	3	]	]	SYM
ap-8679	213	4	weights	weight	NOUN
ap-8679	213	5	.	.	PUNCT
ap-8679	214	1	this	this	DET
ap-8679	214	2	network	network	NOUN
ap-8679	214	3	’s	’s	PART
ap-8679	214	4	image	image	NOUN
ap-8679	214	5	input	input	NOUN
ap-8679	214	6	was	be	AUX
ap-8679	214	7	299	299	NUM
ap-8679	214	8	×	×	NOUN
ap-8679	214	9	299	299	NUM
ap-8679	214	10	pixels	pixel	NOUN
ap-8679	214	11	in	in	ADP
ap-8679	214	12	size	size	NOUN
ap-8679	214	13	.	.	PUNCT
ap-8679	215	1	5.2.5	5.2.5	X
ap-8679	215	2	.	.	X
ap-8679	215	3	vgg	vgg	NOUN
ap-8679	215	4	19	19	NUM
ap-8679	215	5	a	a	DET
ap-8679	215	6	convolutional	convolutional	ADJ
ap-8679	215	7	neural	neural	ADJ
ap-8679	215	8	network	network	NOUN
ap-8679	215	9	with	with	ADP
ap-8679	215	10	a	a	DET
ap-8679	215	11	depth	depth	NOUN
ap-8679	215	12	of	of	ADP
ap-8679	215	13	19	19	NUM
ap-8679	215	14	layers	layer	NOUN
ap-8679	215	15	is	be	AUX
ap-8679	215	16	called	call	VERB
ap-8679	215	17	the	the	DET
ap-8679	215	18	vgg	vgg	NOUN
ap-8679	215	19	.	.	PUNCT
ap-8679	216	1	karen	karen	PROPN
ap-8679	216	2	simonyan	simonyan	PROPN
ap-8679	216	3	and	and	CCONJ
ap-8679	216	4	andrew	andrew	PROPN
ap-8679	216	5	zisserman	zisserman	PROPN
ap-8679	216	6	created	create	VERB
ap-8679	216	7	and	and	CCONJ
ap-8679	216	8	trained	train	VERB
ap-8679	216	9	it	it	PRON
ap-8679	216	10	at	at	ADP
ap-8679	216	11	the	the	DET
ap-8679	216	12	visual	visual	ADJ
ap-8679	216	13	geometry	geometry	NOUN
ap-8679	216	14	group	group	NOUN
ap-8679	216	15	at	at	ADP
ap-8679	216	16	oxford	oxford	PROPN
ap-8679	216	17	university	university	PROPN
ap-8679	216	18	in	in	ADP
ap-8679	216	19	2014	2014	NUM
ap-8679	216	20	[	[	X
ap-8679	216	21	35	35	NUM
ap-8679	216	22	]	]	PUNCT
ap-8679	216	23	,	,	PUNCT
ap-8679	216	24	demonstrating	demonstrate	VERB
ap-8679	216	25	that	that	SCONJ
ap-8679	216	26	using	use	VERB
ap-8679	216	27	tiny	tiny	ADJ
ap-8679	216	28	filters	filter	NOUN
ap-8679	216	29	of	of	ADP
ap-8679	216	30	size	size	NOUN
ap-8679	216	31	3	3	NUM
ap-8679	216	32	*	*	SYM
ap-8679	216	33	3	3	NUM
ap-8679	216	34	in	in	ADP
ap-8679	216	35	each	each	DET
ap-8679	216	36	convolutional	convolutional	ADJ
ap-8679	216	37	layer	layer	NOUN
ap-8679	216	38	across	across	ADP
ap-8679	216	39	the	the	DET
ap-8679	216	40	network	network	NOUN
ap-8679	216	41	can	can	AUX
ap-8679	216	42	improve	improve	VERB
ap-8679	216	43	performance	performance	NOUN
ap-8679	216	44	.	.	PUNCT
ap-8679	217	1	the	the	DET
ap-8679	217	2	fundamental	fundamental	ADJ
ap-8679	217	3	tenet	tenet	NOUN
ap-8679	217	4	of	of	ADP
ap-8679	217	5	vgg	vgg	ADJ
ap-8679	217	6	architecture	architecture	NOUN
ap-8679	217	7	is	be	AUX
ap-8679	217	8	that	that	SCONJ
ap-8679	217	9	several	several	ADJ
ap-8679	217	10	small	small	ADJ
ap-8679	217	11	filters	filter	NOUN
ap-8679	217	12	can	can	AUX
ap-8679	217	13	simplify	simplify	VERB
ap-8679	217	14	design	design	NOUN
ap-8679	217	15	and	and	CCONJ
ap-8679	217	16	replicate	replicate	VERB
ap-8679	217	17	results	result	NOUN
ap-8679	217	18	more	more	ADV
ap-8679	217	19	faithfully	faithfully	ADV
ap-8679	217	20	than	than	ADP
ap-8679	217	21	bigger	big	ADJ
ap-8679	217	22	filters	filter	NOUN
ap-8679	217	23	.	.	PUNCT
ap-8679	218	1	using	use	VERB
ap-8679	218	2	more	more	ADJ
ap-8679	218	3	than	than	ADP
ap-8679	218	4	a	a	DET
ap-8679	218	5	million	million	NUM
ap-8679	218	6	images	image	NOUN
ap-8679	218	7	from	from	ADP
ap-8679	218	8	the	the	DET
ap-8679	218	9	imagenet	imagenet	NOUN
ap-8679	218	10	dataset	dataset	NOUN
ap-8679	218	11	,	,	PUNCT
ap-8679	218	12	the	the	DET
ap-8679	218	13	vgg	vgg	ADJ
ap-8679	218	14	19	19	NUM
ap-8679	218	15	network	network	NOUN
ap-8679	218	16	is	be	AUX
ap-8679	218	17	trained	train	VERB
ap-8679	218	18	.	.	PUNCT
ap-8679	219	1	of	of	ADP
ap-8679	219	2	course	course	NOUN
ap-8679	219	3	,	,	PUNCT
ap-8679	219	4	you	you	PRON
ap-8679	219	5	can	can	AUX
ap-8679	219	6	import	import	VERB
ap-8679	219	7	the	the	DET
ap-8679	219	8	model	model	NOUN
ap-8679	219	9	with	with	ADP
ap-8679	219	10	training	training	NOUN
ap-8679	219	11	weights	weight	NOUN
ap-8679	219	12	from	from	ADP
ap-8679	219	13	imagenet	imagenet	NOUN
ap-8679	219	14	.	.	PUNCT
ap-8679	220	1	the	the	DET
ap-8679	220	2	network	network	NOUN
ap-8679	220	3	was	be	AUX
ap-8679	220	4	trained	train	VERB
ap-8679	220	5	on	on	ADP
ap-8679	220	6	colorful	colorful	ADJ
ap-8679	220	7	images	image	NOUN
ap-8679	220	8	with	with	ADP
ap-8679	220	9	a	a	DET
ap-8679	220	10	resolution	resolution	NOUN
ap-8679	220	11	of	of	ADP
ap-8679	220	12	224	224	NUM
ap-8679	220	13	×	×	NOUN
ap-8679	220	14	224	224	NUM
ap-8679	220	15	pixels	pixel	NOUN
ap-8679	220	16	.	.	PUNCT
ap-8679	221	1	5.2.6	5.2.6	X
ap-8679	221	2	.	.	PUNCT
ap-8679	221	3	resnet	resnet	VERB
ap-8679	221	4	18	18	NUM
ap-8679	221	5	a	a	DET
ap-8679	221	6	convolutional	convolutional	ADJ
ap-8679	221	7	neural	neural	ADJ
ap-8679	221	8	network	network	NOUN
ap-8679	221	9	with	with	ADP
ap-8679	221	10	18	18	NUM
ap-8679	221	11	layers	layer	NOUN
ap-8679	221	12	in	in	ADP
ap-8679	221	13	depth	depth	NOUN
ap-8679	221	14	is	be	AUX
ap-8679	221	15	called	call	VERB
ap-8679	221	16	resnet	resnet	ADJ
ap-8679	221	17	18	18	NUM
ap-8679	221	18	.	.	PUNCT
ap-8679	222	1	deep	deep	ADJ
ap-8679	222	2	residual	residual	ADJ
ap-8679	222	3	learning	learning	NOUN
ap-8679	222	4	for	for	ADP
ap-8679	222	5	image	image	NOUN
ap-8679	222	6	recognition	recognition	NOUN
ap-8679	222	7	,	,	PUNCT
ap-8679	222	8	as	as	SCONJ
ap-8679	222	9	it	it	PRON
ap-8679	222	10	is	be	AUX
ap-8679	222	11	known	know	VERB
ap-8679	222	12	,	,	PUNCT
ap-8679	222	13	was	be	AUX
ap-8679	222	14	developed	develop	VERB
ap-8679	222	15	and	and	CCONJ
ap-8679	222	16	trained	train	VERB
ap-8679	222	17	by	by	ADP
ap-8679	222	18	microsoft	microsoft	PROPN
ap-8679	222	19	in	in	ADP
ap-8679	222	20	2015	2015	NUM
ap-8679	222	21	[	[	X
ap-8679	222	22	34	34	NUM
ap-8679	222	23	]	]	PUNCT
ap-8679	222	24	.	.	PUNCT
ap-8679	223	1	to	to	PART
ap-8679	223	2	address	address	VERB
ap-8679	223	3	the	the	DET
ap-8679	223	4	issue	issue	NOUN
ap-8679	223	5	of	of	ADP
ap-8679	223	6	vanishing	vanish	VERB
ap-8679	223	7	gradient	gradient	NOUN
ap-8679	223	8	that	that	PRON
ap-8679	223	9	may	may	AUX
ap-8679	223	10	affect	affect	VERB
ap-8679	223	11	the	the	DET
ap-8679	223	12	weightage	weightage	NOUN
ap-8679	223	13	change	change	NOUN
ap-8679	223	14	in	in	ADP
ap-8679	223	15	neural	neural	ADJ
ap-8679	223	16	networks	network	NOUN
ap-8679	223	17	,	,	PUNCT
ap-8679	223	18	resnet	resnet	NOUN
ap-8679	223	19	architectures	architecture	NOUN
ap-8679	223	20	introduced	introduce	VERB
ap-8679	223	21	the	the	DET
ap-8679	223	22	use	use	NOUN
ap-8679	223	23	of	of	ADP
ap-8679	223	24	residual	residual	ADJ
ap-8679	223	25	layers	layer	NOUN
ap-8679	223	26	and	and	CCONJ
ap-8679	223	27	skip	skip	ADJ
ap-8679	223	28	connections	connection	NOUN
ap-8679	223	29	.	.	PUNCT
ap-8679	224	1	this	this	PRON
ap-8679	224	2	made	make	VERB
ap-8679	224	3	training	training	NOUN
ap-8679	224	4	easier	easy	ADJ
ap-8679	224	5	and	and	CCONJ
ap-8679	224	6	allowed	allow	VERB
ap-8679	224	7	neural	neural	ADJ
ap-8679	224	8	networks	network	NOUN
ap-8679	224	9	to	to	PART
ap-8679	224	10	get	get	VERB
ap-8679	224	11	much	much	ADV
ap-8679	224	12	deeper	deep	ADJ
ap-8679	224	13	with	with	ADP
ap-8679	224	14	greater	great	ADJ
ap-8679	224	15	performance	performance	NOUN
ap-8679	224	16	.	.	PUNCT
ap-8679	225	1	more	more	ADJ
ap-8679	225	2	than	than	ADP
ap-8679	225	3	a	a	DET
ap-8679	225	4	million	million	NUM
ap-8679	225	5	images	image	NOUN
ap-8679	225	6	from	from	ADP
ap-8679	225	7	the	the	DET
ap-8679	225	8	imagenet	imagenet	NOUN
ap-8679	225	9	dataset	dataset	NOUN
ap-8679	225	10	were	be	AUX
ap-8679	225	11	used	use	VERB
ap-8679	225	12	to	to	PART
ap-8679	225	13	train	train	VERB
ap-8679	225	14	this	this	DET
ap-8679	225	15	model	model	NOUN
ap-8679	225	16	.	.	PUNCT
ap-8679	226	1	the	the	DET
ap-8679	226	2	network	network	NOUN
ap-8679	226	3	was	be	AUX
ap-8679	226	4	trained	train	VERB
ap-8679	226	5	on	on	ADP
ap-8679	226	6	coloured	coloured	ADJ
ap-8679	226	7	images	image	NOUN
ap-8679	226	8	with	with	ADP
ap-8679	226	9	a	a	DET
ap-8679	226	10	resolution	resolution	NOUN
ap-8679	226	11	of	of	ADP
ap-8679	226	12	224	224	NUM
ap-8679	226	13	×	×	NOUN
ap-8679	226	14	224	224	NUM
ap-8679	226	15	pixels	pixel	NOUN
ap-8679	226	16	and	and	CCONJ
ap-8679	226	17	can	can	AUX
ap-8679	226	18	categorise	categorise	VERB
ap-8679	226	19	up	up	ADP
ap-8679	226	20	to	to	PART
ap-8679	226	21	1	1	NUM
ap-8679	226	22	000	000	NUM
ap-8679	226	23	objects	object	NOUN
ap-8679	226	24	.	.	PUNCT
ap-8679	227	1	basic	basic	ADJ
ap-8679	227	2	identical	identical	ADJ
ap-8679	227	3	parameters	parameter	NOUN
ap-8679	227	4	of	of	ADP
ap-8679	227	5	the	the	DET
ap-8679	227	6	six	six	NUM
ap-8679	227	7	networks	network	NOUN
ap-8679	227	8	alexnet	alexnet	NOUN
ap-8679	227	9	,	,	PUNCT
ap-8679	227	10	googlenet	googlenet	NOUN
ap-8679	227	11	,	,	PUNCT
ap-8679	227	12	resnet	resnet	NOUN
ap-8679	227	13	18	18	NUM
ap-8679	227	14	...	...	PUNCT
ap-8679	227	15	and	and	CCONJ
ap-8679	227	16	yolov3	yolov3	PROPN
ap-8679	227	17	are	be	AUX
ap-8679	227	18	mentioned	mention	VERB
ap-8679	227	19	in	in	ADP
ap-8679	227	20	the	the	DET
ap-8679	227	21	table	table	NOUN
ap-8679	227	22	5	5	NUM
ap-8679	227	23	.	.	PUNCT
ap-8679	227	24	parameter	parameter	NOUN
ap-8679	227	25	value	value	NOUN
ap-8679	227	26	initial	initial	ADJ
ap-8679	227	27	learning	learning	NOUN
ap-8679	227	28	rate	rate	NOUN
ap-8679	227	29	0.001	0.001	NUM
ap-8679	227	30	optimiser	optimiser	NOUN
ap-8679	227	31	sgdm	sgdm	NOUN
ap-8679	227	32	/	/	SYM
ap-8679	227	33	adam	adam	NOUN
ap-8679	227	34	/	/	SYM
ap-8679	227	35	rmsprop	rmsprop	NOUN
ap-8679	227	36	max	max	PROPN
ap-8679	227	37	epoch	epoch	PROPN
ap-8679	227	38	5	5	NUM
ap-8679	227	39	mini	mini	NOUN
ap-8679	227	40	batch	batch	NOUN
ap-8679	227	41	size	size	NOUN
ap-8679	227	42	20	20	NUM
ap-8679	227	43	activation	activation	NOUN
ap-8679	227	44	function	function	NOUN
ap-8679	227	45	softmax	softmax	NOUN
ap-8679	227	46	validation	validation	NOUN
ap-8679	227	47	frequency	frequency	NOUN
ap-8679	227	48	20	20	NUM
ap-8679	227	49	table	table	NOUN
ap-8679	227	50	5	5	NUM
ap-8679	227	51	.	.	PUNCT
ap-8679	228	1	the	the	DET
ap-8679	228	2	training	training	NOUN
ap-8679	228	3	parameters	parameter	NOUN
ap-8679	228	4	of	of	ADP
ap-8679	228	5	the	the	DET
ap-8679	228	6	pretrained	pretraine	VERB
ap-8679	228	7	models	model	NOUN
ap-8679	228	8	.	.	PUNCT
ap-8679	229	1	we	we	PRON
ap-8679	229	2	have	have	AUX
ap-8679	229	3	,	,	PUNCT
ap-8679	229	4	therefore	therefore	ADV
ap-8679	229	5	,	,	PUNCT
ap-8679	229	6	summarised	summarise	VERB
ap-8679	229	7	our	our	PRON
ap-8679	229	8	contributions	contribution	NOUN
ap-8679	229	9	as	as	SCONJ
ap-8679	229	10	follows	follow	VERB
ap-8679	229	11	.	.	PUNCT
ap-8679	230	1	•	•	INTJ
ap-8679	230	2	we	we	PRON
ap-8679	230	3	use	use	VERB
ap-8679	230	4	the	the	DET
ap-8679	230	5	cnn	cnn	PROPN
ap-8679	230	6	architecture	architecture	NOUN
ap-8679	230	7	to	to	PART
ap-8679	230	8	evaluate	evaluate	VERB
ap-8679	230	9	the	the	DET
ap-8679	230	10	performance	performance	NOUN
ap-8679	230	11	.	.	PUNCT
ap-8679	231	1	7	7	NUM
ap-8679	231	2	s.	s.	PROPN
ap-8679	231	3	benbakreti	benbakreti	PROPN
ap-8679	231	4	,	,	PUNCT
ap-8679	231	5	s.	s.	PROPN
ap-8679	231	6	benbakreti	benbakreti	PROPN
ap-8679	231	7	,	,	PUNCT
ap-8679	231	8	u.	u.	PROPN
ap-8679	231	9	ozkaya	ozkaya	PROPN
ap-8679	231	10	acta	acta	PROPN
ap-8679	231	11	polytechnica	polytechnica	PROPN
ap-8679	231	12	•	•	INTJ
ap-8679	231	13	we	we	PRON
ap-8679	231	14	suggested	suggest	VERB
ap-8679	231	15	the	the	DET
ap-8679	231	16	use	use	NOUN
ap-8679	231	17	of	of	ADP
ap-8679	231	18	pretrained	pretraine	VERB
ap-8679	231	19	models	model	NOUN
ap-8679	231	20	,	,	PUNCT
ap-8679	231	21	such	such	ADJ
ap-8679	231	22	as	as	ADP
ap-8679	231	23	alexnet	alexnet	NOUN
ap-8679	231	24	,	,	PUNCT
ap-8679	231	25	resnet	resnet	NOUN
ap-8679	231	26	18	18	NUM
ap-8679	231	27	,	,	PUNCT
ap-8679	231	28	resnet	resnet	VERB
ap-8679	231	29	50	50	NUM
ap-8679	231	30	,	,	PUNCT
ap-8679	231	31	googlenet	googlenet	NOUN
ap-8679	231	32	,	,	PUNCT
ap-8679	231	33	vgg	vgg	NOUN
ap-8679	231	34	19	19	NUM
ap-8679	231	35	,	,	PUNCT
ap-8679	231	36	and	and	CCONJ
ap-8679	231	37	yolov3	yolov3	PROPN
ap-8679	231	38	,	,	PUNCT
ap-8679	231	39	to	to	PART
ap-8679	231	40	detect	detect	VERB
ap-8679	231	41	glaucoma	glaucoma	NOUN
ap-8679	231	42	,	,	PUNCT
ap-8679	231	43	diabetic	diabetic	ADJ
ap-8679	231	44	retinopathy	retinopathy	NOUN
ap-8679	231	45	,	,	PUNCT
ap-8679	231	46	cataract	cataract	NOUN
ap-8679	231	47	and	and	CCONJ
ap-8679	231	48	a	a	DET
ap-8679	231	49	normal	normal	ADJ
ap-8679	231	50	patient	patient	NOUN
ap-8679	231	51	using	use	VERB
ap-8679	231	52	fundus	fundus	NOUN
ap-8679	231	53	images	image	NOUN
ap-8679	231	54	and	and	CCONJ
ap-8679	231	55	improve	improve	VERB
ap-8679	231	56	the	the	DET
ap-8679	231	57	diagnosis	diagnosis	NOUN
ap-8679	231	58	.	.	PUNCT
ap-8679	232	1	•	•	INTJ
ap-8679	232	2	we	we	PRON
ap-8679	232	3	trained	train	VERB
ap-8679	232	4	the	the	DET
ap-8679	232	5	models	model	NOUN
ap-8679	232	6	separately	separately	ADV
ap-8679	232	7	to	to	PART
ap-8679	232	8	discriminate	discriminate	VERB
ap-8679	232	9	between	between	ADP
ap-8679	232	10	four	four	NUM
ap-8679	232	11	categories	category	NOUN
ap-8679	232	12	.	.	PUNCT
ap-8679	233	1	in	in	ADP
ap-8679	233	2	addition	addition	NOUN
ap-8679	233	3	to	to	ADP
ap-8679	233	4	the	the	DET
ap-8679	233	5	accuracy	accuracy	NOUN
ap-8679	233	6	parameters	parameter	NOUN
ap-8679	233	7	,	,	PUNCT
ap-8679	233	8	we	we	PRON
ap-8679	233	9	estimated	estimate	VERB
ap-8679	233	10	the	the	DET
ap-8679	233	11	gpu	gpu	NOUN
ap-8679	233	12	execution	execution	NOUN
ap-8679	233	13	time	time	NOUN
ap-8679	233	14	for	for	ADP
ap-8679	233	15	each	each	DET
ap-8679	233	16	model	model	NOUN
ap-8679	233	17	.	.	PUNCT
ap-8679	234	1	the	the	DET
ap-8679	234	2	results	result	NOUN
ap-8679	234	3	obtained	obtain	VERB
ap-8679	234	4	are	be	AUX
ap-8679	234	5	shown	show	VERB
ap-8679	234	6	in	in	ADP
ap-8679	234	7	table	table	NOUN
ap-8679	234	8	6	6	NUM
ap-8679	234	9	.	.	PUNCT
ap-8679	235	1	the	the	DET
ap-8679	235	2	most	most	ADV
ap-8679	235	3	popular	popular	ADJ
ap-8679	235	4	method	method	NOUN
ap-8679	235	5	for	for	ADP
ap-8679	235	6	evaluating	evaluate	VERB
ap-8679	235	7	model	model	NOUN
ap-8679	235	8	performance	performance	NOUN
ap-8679	235	9	based	base	VERB
ap-8679	235	10	on	on	ADP
ap-8679	235	11	true	true	ADJ
ap-8679	235	12	positives	positive	NOUN
ap-8679	235	13	(	(	PUNCT
ap-8679	235	14	tp	tp	NOUN
ap-8679	235	15	)	)	PUNCT
ap-8679	235	16	,	,	PUNCT
ap-8679	235	17	true	true	ADJ
ap-8679	235	18	negatives	negative	NOUN
ap-8679	235	19	(	(	PUNCT
ap-8679	235	20	tn	tn	NOUN
ap-8679	235	21	)	)	PUNCT
ap-8679	235	22	,	,	PUNCT
ap-8679	235	23	false	false	ADJ
ap-8679	235	24	positives	positive	NOUN
ap-8679	235	25	(	(	PUNCT
ap-8679	235	26	fp	fp	INTJ
ap-8679	235	27	)	)	PUNCT
ap-8679	235	28	,	,	PUNCT
ap-8679	235	29	and	and	CCONJ
ap-8679	235	30	false	false	ADJ
ap-8679	235	31	negatives	negative	NOUN
ap-8679	235	32	is	be	AUX
ap-8679	235	33	the	the	DET
ap-8679	235	34	confusion	confusion	NOUN
ap-8679	235	35	matrix	matrix	NOUN
ap-8679	235	36	(	(	PUNCT
ap-8679	235	37	fn	fn	NOUN
ap-8679	235	38	)	)	PUNCT
ap-8679	235	39	.	.	PUNCT
ap-8679	236	1	figure	figure	NOUN
ap-8679	236	2	6	6	NUM
ap-8679	236	3	represent	represent	VERB
ap-8679	236	4	the	the	DET
ap-8679	236	5	confusion	confusion	NOUN
ap-8679	236	6	matrix	matrix	NOUN
ap-8679	236	7	of	of	ADP
ap-8679	236	8	the	the	DET
ap-8679	236	9	googlenet	googlenet	NOUN
ap-8679	236	10	and	and	CCONJ
ap-8679	236	11	resnet	resnet	VERB
ap-8679	236	12	18	18	NUM
ap-8679	236	13	,	,	PUNCT
ap-8679	236	14	which	which	PRON
ap-8679	236	15	gave	give	VERB
ap-8679	236	16	the	the	DET
ap-8679	236	17	best	good	ADJ
ap-8679	236	18	results	result	NOUN
ap-8679	236	19	in	in	ADP
ap-8679	236	20	terms	term	NOUN
ap-8679	236	21	of	of	ADP
ap-8679	236	22	accuracy	accuracy	NOUN
ap-8679	236	23	with	with	ADP
ap-8679	236	24	the	the	DET
ap-8679	236	25	sgdm	sgdm	NOUN
ap-8679	236	26	optimiser	optimiser	NOUN
ap-8679	236	27	.	.	PUNCT
ap-8679	237	1	the	the	DET
ap-8679	237	2	figure	figure	NOUN
ap-8679	237	3	7	7	NUM
ap-8679	237	4	represent	represent	VERB
ap-8679	237	5	the	the	DET
ap-8679	237	6	confusion	confusion	NOUN
ap-8679	237	7	matrix	matrix	NOUN
ap-8679	237	8	of	of	ADP
ap-8679	237	9	the	the	DET
ap-8679	237	10	resnet	resnet	NOUN
ap-8679	237	11	18	18	NUM
ap-8679	237	12	and	and	CCONJ
ap-8679	237	13	vgg	vgg	PROPN
ap-8679	237	14	19	19	NUM
ap-8679	237	15	,	,	PUNCT
ap-8679	237	16	which	which	PRON
ap-8679	237	17	gave	give	VERB
ap-8679	237	18	the	the	DET
ap-8679	237	19	best	good	ADJ
ap-8679	237	20	results	result	NOUN
ap-8679	237	21	in	in	ADP
ap-8679	237	22	terms	term	NOUN
ap-8679	237	23	of	of	ADP
ap-8679	237	24	accuracy	accuracy	NOUN
ap-8679	237	25	with	with	ADP
ap-8679	237	26	the	the	DET
ap-8679	237	27	adam	adam	PROPN
ap-8679	237	28	optimiser	optimiser	PROPN
ap-8679	237	29	.	.	PUNCT
ap-8679	238	1	figure	figure	NOUN
ap-8679	238	2	8	8	NUM
ap-8679	238	3	represents	represent	VERB
ap-8679	238	4	the	the	DET
ap-8679	238	5	confusion	confusion	NOUN
ap-8679	238	6	matrix	matrix	NOUN
ap-8679	238	7	of	of	ADP
ap-8679	238	8	the	the	DET
ap-8679	238	9	resnet	resnet	NOUN
ap-8679	238	10	18	18	NUM
ap-8679	238	11	and	and	CCONJ
ap-8679	238	12	vgg	vgg	PROPN
ap-8679	238	13	19	19	NUM
ap-8679	238	14	,	,	PUNCT
ap-8679	238	15	which	which	PRON
ap-8679	238	16	gave	give	VERB
ap-8679	238	17	the	the	DET
ap-8679	238	18	best	good	ADJ
ap-8679	238	19	results	result	NOUN
ap-8679	238	20	in	in	ADP
ap-8679	238	21	terms	term	NOUN
ap-8679	238	22	of	of	ADP
ap-8679	238	23	accuracy	accuracy	NOUN
ap-8679	238	24	with	with	ADP
ap-8679	238	25	the	the	DET
ap-8679	238	26	rmsprop	rmsprop	NOUN
ap-8679	238	27	optimiser	optimiser	NOUN
ap-8679	238	28	.	.	PUNCT
ap-8679	239	1	we	we	PRON
ap-8679	239	2	were	be	AUX
ap-8679	239	3	able	able	ADJ
ap-8679	239	4	to	to	PART
ap-8679	239	5	accurately	accurately	ADV
ap-8679	239	6	classify	classify	VERB
ap-8679	239	7	the	the	DET
ap-8679	239	8	images	image	NOUN
ap-8679	239	9	in	in	ADP
ap-8679	239	10	our	our	PRON
ap-8679	239	11	dataset	dataset	ADJ
ap-8679	239	12	thanks	thank	NOUN
ap-8679	239	13	to	to	ADP
ap-8679	239	14	experiments	experiment	NOUN
ap-8679	239	15	using	use	VERB
ap-8679	239	16	pre	pre	ADJ
ap-8679	239	17	-	-	ADJ
ap-8679	239	18	trained	train	VERB
ap-8679	239	19	models	model	NOUN
ap-8679	239	20	and	and	CCONJ
ap-8679	239	21	the	the	DET
ap-8679	239	22	classic	classic	ADJ
ap-8679	239	23	cnn	cnn	PROPN
ap-8679	239	24	.	.	PUNCT
ap-8679	240	1	the	the	DET
ap-8679	240	2	accuracy	accuracy	NOUN
ap-8679	240	3	rate	rate	NOUN
ap-8679	240	4	for	for	ADP
ap-8679	240	5	cnn	cnn	PROPN
ap-8679	240	6	is	be	AUX
ap-8679	240	7	88.7	88.7	NUM
ap-8679	240	8	%	%	NOUN
ap-8679	240	9	.	.	PUNCT
ap-8679	241	1	the	the	DET
ap-8679	241	2	best	good	ADJ
ap-8679	241	3	accuracy	accuracy	NOUN
ap-8679	241	4	was	be	AUX
ap-8679	241	5	achieved	achieve	VERB
ap-8679	241	6	for	for	ADP
ap-8679	241	7	the	the	DET
ap-8679	241	8	sgdm	sgdm	NOUN
ap-8679	241	9	optimiser	optimiser	NOUN
ap-8679	241	10	,	,	PUNCT
ap-8679	241	11	92.7	92.7	NUM
ap-8679	241	12	%	%	NOUN
ap-8679	241	13	and	and	CCONJ
ap-8679	241	14	92.1	92.1	NUM
ap-8679	241	15	%	%	NOUN
ap-8679	241	16	with	with	ADP
ap-8679	241	17	googlenet	googlenet	NOUN
ap-8679	241	18	and	and	CCONJ
ap-8679	241	19	resnet	resnet	VERB
ap-8679	241	20	18	18	NUM
ap-8679	241	21	,	,	PUNCT
ap-8679	241	22	respectively	respectively	ADV
ap-8679	241	23	,	,	PUNCT
ap-8679	241	24	when	when	SCONJ
ap-8679	241	25	the	the	DET
ap-8679	241	26	same	same	ADJ
ap-8679	241	27	dataset	dataset	NOUN
ap-8679	241	28	and	and	CCONJ
ap-8679	241	29	hyper	hyper	NOUN
ap-8679	241	30	-	-	NOUN
ap-8679	241	31	parameters	parameter	NOUN
ap-8679	241	32	were	be	AUX
ap-8679	241	33	employed	employ	VERB
ap-8679	241	34	.	.	PUNCT
ap-8679	242	1	the	the	DET
ap-8679	242	2	best	good	ADJ
ap-8679	242	3	accuracy	accuracy	NOUN
ap-8679	242	4	for	for	ADP
ap-8679	242	5	the	the	DET
ap-8679	242	6	adam	adam	PROPN
ap-8679	242	7	optimiser	optimiser	PROPN
ap-8679	242	8	was	be	AUX
ap-8679	242	9	achieved	achieve	VERB
ap-8679	242	10	with	with	ADP
ap-8679	242	11	resnet	resnet	PROPN
ap-8679	242	12	18	18	NUM
ap-8679	242	13	(	(	PUNCT
ap-8679	242	14	88.3	88.3	NUM
ap-8679	242	15	%	%	NOUN
ap-8679	242	16	)	)	PUNCT
ap-8679	242	17	and	and	CCONJ
ap-8679	242	18	vgg	vgg	PROPN
ap-8679	242	19	19	19	NUM
ap-8679	242	20	(	(	PUNCT
ap-8679	242	21	87.1	87.1	NUM
ap-8679	242	22	%	%	NOUN
ap-8679	242	23	)	)	PUNCT
ap-8679	242	24	.	.	PUNCT
ap-8679	243	1	the	the	DET
ap-8679	243	2	best	good	ADJ
ap-8679	243	3	accuracy	accuracy	NOUN
ap-8679	243	4	was	be	AUX
ap-8679	243	5	obtained	obtain	VERB
ap-8679	243	6	with	with	ADP
ap-8679	243	7	the	the	DET
ap-8679	243	8	identical	identical	ADJ
ap-8679	243	9	architectures	architecture	NOUN
ap-8679	243	10	(	(	PUNCT
ap-8679	243	11	resnet	resnet	PROPN
ap-8679	243	12	18	18	NUM
ap-8679	243	13	and	and	CCONJ
ap-8679	243	14	vgg19	vgg19	NUM
ap-8679	243	15	)	)	PUNCT
ap-8679	243	16	,	,	PUNCT
ap-8679	243	17	79.9	79.9	NUM
ap-8679	243	18	%	%	NOUN
ap-8679	243	19	and	and	CCONJ
ap-8679	243	20	83.3	83.3	NUM
ap-8679	243	21	%	%	NOUN
ap-8679	243	22	,	,	PUNCT
ap-8679	243	23	respectively	respectively	ADV
ap-8679	243	24	,	,	PUNCT
ap-8679	243	25	when	when	SCONJ
ap-8679	243	26	the	the	DET
ap-8679	243	27	last	last	ADJ
ap-8679	243	28	optimiser	optimiser	NOUN
ap-8679	243	29	(	(	PUNCT
ap-8679	243	30	rmsprop	rmsprop	NOUN
ap-8679	243	31	)	)	PUNCT
ap-8679	243	32	was	be	AUX
ap-8679	243	33	used	use	VERB
ap-8679	243	34	.	.	PUNCT
ap-8679	244	1	the	the	DET
ap-8679	244	2	improved	improve	VERB
ap-8679	244	3	classification	classification	NOUN
ap-8679	244	4	rate	rate	NOUN
ap-8679	244	5	with	with	ADP
ap-8679	244	6	resnet	resnet	NOUN
ap-8679	244	7	18	18	NUM
ap-8679	244	8	can	can	AUX
ap-8679	244	9	be	be	AUX
ap-8679	244	10	linked	link	VERB
ap-8679	244	11	to	to	ADP
ap-8679	244	12	the	the	DET
ap-8679	244	13	network	network	NOUN
ap-8679	244	14	’s	’s	PART
ap-8679	244	15	usage	usage	NOUN
ap-8679	244	16	of	of	ADP
ap-8679	244	17	methods	method	NOUN
ap-8679	244	18	to	to	PART
ap-8679	244	19	reduce	reduce	VERB
ap-8679	244	20	over	over	ADV
ap-8679	244	21	-	-	PUNCT
ap-8679	244	22	fitting	fit	VERB
ap-8679	244	23	in	in	ADP
ap-8679	244	24	its	its	PRON
ap-8679	244	25	model	model	NOUN
ap-8679	244	26	.	.	PUNCT
ap-8679	245	1	the	the	DET
ap-8679	245	2	first	first	ADJ
ap-8679	245	3	method	method	NOUN
ap-8679	245	4	involved	involve	VERB
ap-8679	245	5	artificially	artificially	ADV
ap-8679	245	6	enlarging	enlarge	VERB
ap-8679	245	7	the	the	DET
ap-8679	245	8	dataset	dataset	NOUN
ap-8679	245	9	with	with	ADP
ap-8679	245	10	the	the	DET
ap-8679	245	11	aid	aid	NOUN
ap-8679	245	12	of	of	ADP
ap-8679	245	13	a	a	DET
ap-8679	245	14	label	label	NOUN
ap-8679	245	15	-	-	PUNCT
ap-8679	245	16	preserving	preserve	VERB
ap-8679	245	17	transformation	transformation	NOUN
ap-8679	245	18	.	.	PUNCT
ap-8679	246	1	this	this	PRON
ap-8679	246	2	involved	involved	ADJ
ap-8679	246	3	extracting	extract	VERB
ap-8679	246	4	random	random	ADJ
ap-8679	246	5	patches	patch	NOUN
ap-8679	246	6	(	(	PUNCT
ap-8679	246	7	224	224	NUM
ap-8679	246	8	×	×	NOUN
ap-8679	246	9	224	224	NUM
ap-8679	246	10	for	for	ADP
ap-8679	246	11	resnet	resnet	NOUN
ap-8679	246	12	18	18	NUM
ap-8679	246	13	)	)	PUNCT
ap-8679	246	14	and	and	CCONJ
ap-8679	246	15	training	train	VERB
ap-8679	246	16	the	the	DET
ap-8679	246	17	network	network	NOUN
ap-8679	246	18	on	on	ADP
ap-8679	246	19	them	they	PRON
ap-8679	246	20	while	while	SCONJ
ap-8679	246	21	varying	vary	VERB
ap-8679	246	22	the	the	DET
ap-8679	246	23	intensities	intensity	NOUN
ap-8679	246	24	of	of	ADP
ap-8679	246	25	the	the	DET
ap-8679	246	26	rgb	rgb	PROPN
ap-8679	246	27	channels	channel	NOUN
ap-8679	246	28	in	in	ADP
ap-8679	246	29	training	training	NOUN
ap-8679	246	30	images	image	NOUN
ap-8679	246	31	.	.	PUNCT
ap-8679	247	1	the	the	DET
ap-8679	247	2	result	result	NOUN
ap-8679	247	3	was	be	AUX
ap-8679	247	4	generating	generate	VERB
ap-8679	247	5	image	image	NOUN
ap-8679	247	6	translations	translation	NOUN
ap-8679	247	7	and	and	CCONJ
ap-8679	247	8	horizontal	horizontal	ADJ
ap-8679	247	9	reflections	reflection	NOUN
ap-8679	247	10	.	.	PUNCT
ap-8679	248	1	the	the	DET
ap-8679	248	2	second	second	ADJ
ap-8679	248	3	strategy	strategy	NOUN
ap-8679	248	4	to	to	PART
ap-8679	248	5	lessen	lessen	VERB
ap-8679	248	6	over	over	ADP
ap-8679	248	7	-	-	PUNCT
ap-8679	248	8	fitting	fit	VERB
ap-8679	248	9	was	be	AUX
ap-8679	248	10	“	"	PUNCT
ap-8679	248	11	dropout	dropout	NOUN
ap-8679	248	12	”	"	PUNCT
ap-8679	248	13	,	,	PUNCT
ap-8679	248	14	which	which	PRON
ap-8679	248	15	involves	involve	VERB
ap-8679	248	16	removing	remove	VERB
ap-8679	248	17	neurons	neuron	NOUN
ap-8679	248	18	that	that	PRON
ap-8679	248	19	do	do	AUX
ap-8679	248	20	not	not	PART
ap-8679	248	21	contribute	contribute	VERB
ap-8679	248	22	to	to	ADP
ap-8679	248	23	the	the	DET
ap-8679	248	24	forward	forward	ADJ
ap-8679	248	25	pass	pass	NOUN
ap-8679	248	26	or	or	CCONJ
ap-8679	248	27	back	back	NOUN
ap-8679	248	28	-	-	PUNCT
ap-8679	248	29	propagation	propagation	NOUN
ap-8679	248	30	.	.	PUNCT
ap-8679	249	1	this	this	PRON
ap-8679	249	2	reduces	reduce	VERB
ap-8679	249	3	the	the	DET
ap-8679	249	4	complicated	complicated	ADJ
ap-8679	249	5	neuronal	neuronal	ADJ
ap-8679	249	6	co	co	NOUN
ap-8679	249	7	-	-	NOUN
ap-8679	249	8	adaptations	adaptation	NOUN
ap-8679	249	9	and	and	CCONJ
ap-8679	249	10	forces	force	NOUN
ap-8679	249	11	the	the	DET
ap-8679	249	12	model	model	NOUN
ap-8679	249	13	to	to	PART
ap-8679	249	14	learn	learn	VERB
ap-8679	249	15	stronger	strong	ADJ
ap-8679	249	16	features	feature	NOUN
ap-8679	249	17	.	.	PUNCT
ap-8679	250	1	table	table	NOUN
ap-8679	250	2	6	6	NUM
ap-8679	250	3	shows	show	VERB
ap-8679	250	4	that	that	SCONJ
ap-8679	250	5	almost	almost	ADV
ap-8679	250	6	all	all	PRON
ap-8679	250	7	of	of	ADP
ap-8679	250	8	the	the	DET
ap-8679	250	9	pretrained	pretraine	VERB
ap-8679	250	10	models	model	NOUN
ap-8679	250	11	used	use	VERB
ap-8679	250	12	are	be	AUX
ap-8679	250	13	outperformed	outperform	VERB
ap-8679	250	14	by	by	ADP
ap-8679	250	15	the	the	DET
ap-8679	250	16	sgdm	sgdm	NOUN
ap-8679	250	17	optimiser	optimiser	NOUN
ap-8679	250	18	.	.	PUNCT
ap-8679	251	1	this	this	DET
ap-8679	251	2	efficiency	efficiency	NOUN
ap-8679	251	3	can	can	AUX
ap-8679	251	4	be	be	AUX
ap-8679	251	5	attributed	attribute	VERB
ap-8679	251	6	to	to	ADP
ap-8679	251	7	the	the	DET
ap-8679	251	8	adaptive	adaptive	ADJ
ap-8679	251	9	approaches	approach	NOUN
ap-8679	251	10	’	'	PUNCT
ap-8679	251	11	propensity	propensity	NOUN
ap-8679	251	12	to	to	PART
ap-8679	251	13	quickly	quickly	ADV
ap-8679	251	14	converge	converge	VERB
ap-8679	251	15	to	to	ADP
ap-8679	251	16	sharper	sharper	ADV
ap-8679	251	17	minima	minima	NOUN
ap-8679	251	18	whereas	whereas	SCONJ
ap-8679	251	19	the	the	DET
ap-8679	251	20	sgd	sgd	NOUN
ap-8679	251	21	with	with	ADP
ap-8679	251	22	momentum	momentum	NOUN
ap-8679	251	23	appears	appear	VERB
ap-8679	251	24	to	to	PART
ap-8679	251	25	find	find	VERB
ap-8679	251	26	flatter	flat	ADJ
ap-8679	251	27	minima	minima	NOUN
ap-8679	251	28	than	than	ADP
ap-8679	251	29	adam	adam	PROPN
ap-8679	251	30	.	.	PUNCT
ap-8679	252	1	sharper	sharp	ADJ
ap-8679	252	2	minima	minima	NOUN
ap-8679	252	3	(	(	PUNCT
ap-8679	252	4	a	a	NOUN
ap-8679	252	5	)	)	PUNCT
ap-8679	252	6	.	.	PUNCT
ap-8679	253	1	(	(	PUNCT
ap-8679	253	2	b	b	X
ap-8679	253	3	)	)	PUNCT
ap-8679	253	4	.	.	PUNCT
ap-8679	254	1	figure	figure	VERB
ap-8679	254	2	6	6	NUM
ap-8679	254	3	.	.	PUNCT
ap-8679	254	4	confusion	confusion	NOUN
ap-8679	254	5	matrix	matrix	NOUN
ap-8679	254	6	for	for	ADP
ap-8679	254	7	the	the	DET
ap-8679	254	8	best	good	ADJ
ap-8679	254	9	models	model	NOUN
ap-8679	254	10	with	with	ADP
ap-8679	254	11	sgdm	sgdm	NOUN
ap-8679	254	12	optimiser	optimiser	NOUN
ap-8679	254	13	:	:	PUNCT
ap-8679	254	14	(	(	PUNCT
ap-8679	254	15	a	a	NOUN
ap-8679	254	16	)	)	PUNCT
ap-8679	254	17	.	.	PUNCT
ap-8679	255	1	googlenet	googlenet	NOUN
ap-8679	255	2	;	;	PUNCT
ap-8679	255	3	(	(	PUNCT
ap-8679	255	4	b	b	X
ap-8679	255	5	)	)	PUNCT
ap-8679	255	6	.	.	PUNCT
ap-8679	256	1	resnet	resnet	PROPN
ap-8679	256	2	18	18	NUM
ap-8679	256	3	.	.	PUNCT
ap-8679	257	1	do	do	AUX
ap-8679	257	2	not	not	PART
ap-8679	257	3	generalise	generalise	VERB
ap-8679	257	4	as	as	ADV
ap-8679	257	5	well	well	ADV
ap-8679	257	6	as	as	ADP
ap-8679	257	7	flat	flat	ADJ
ap-8679	257	8	ones	one	NOUN
ap-8679	257	9	.	.	PUNCT
ap-8679	258	1	by	by	ADP
ap-8679	258	2	compressing	compress	VERB
ap-8679	258	3	the	the	DET
ap-8679	258	4	input	input	NOUN
ap-8679	258	5	image	image	NOUN
ap-8679	258	6	while	while	SCONJ
ap-8679	258	7	preserving	preserve	VERB
ap-8679	258	8	significant	significant	ADJ
ap-8679	258	9	details	detail	NOUN
ap-8679	258	10	/	/	SYM
ap-8679	258	11	information	information	NOUN
ap-8679	258	12	,	,	PUNCT
ap-8679	258	13	googlenet	googlenet	NOUN
ap-8679	258	14	increases	increase	VERB
ap-8679	258	15	performance	performance	NOUN
ap-8679	258	16	.	.	PUNCT
ap-8679	259	1	utilising	utilise	VERB
ap-8679	259	2	inception	inception	ADJ
ap-8679	259	3	units	unit	NOUN
ap-8679	259	4	allows	allow	VERB
ap-8679	259	5	us	we	PRON
ap-8679	259	6	to	to	PART
ap-8679	259	7	create	create	VERB
ap-8679	259	8	deeper	deep	ADJ
ap-8679	259	9	networks	network	NOUN
ap-8679	259	10	by	by	ADP
ap-8679	259	11	reducing	reduce	VERB
ap-8679	259	12	the	the	DET
ap-8679	259	13	amount	amount	NOUN
ap-8679	259	14	of	of	ADP
ap-8679	259	15	parameters	parameter	NOUN
ap-8679	259	16	in	in	ADP
ap-8679	259	17	a	a	DET
ap-8679	259	18	network	network	NOUN
ap-8679	259	19	.	.	PUNCT
ap-8679	260	1	additionally	additionally	ADV
ap-8679	260	2	,	,	PUNCT
ap-8679	260	3	it	it	PRON
ap-8679	260	4	is	be	AUX
ap-8679	260	5	evidently	evidently	ADV
ap-8679	260	6	a	a	DET
ap-8679	260	7	lot	lot	NOUN
ap-8679	260	8	faster	fast	ADJ
ap-8679	260	9	than	than	ADP
ap-8679	260	10	the	the	DET
ap-8679	260	11	vgg	vgg	NOUN
ap-8679	260	12	19	19	NUM
ap-8679	260	13	,	,	PUNCT
ap-8679	260	14	from	from	ADP
ap-8679	260	15	this	this	DET
ap-8679	260	16	comparison	comparison	NOUN
ap-8679	260	17	.	.	PUNCT
ap-8679	261	1	in	in	ADP
ap-8679	261	2	the	the	DET
ap-8679	261	3	case	case	NOUN
ap-8679	261	4	of	of	ADP
ap-8679	261	5	alexnet	alexnet	NOUN
ap-8679	261	6	,	,	PUNCT
ap-8679	261	7	the	the	DET
ap-8679	261	8	gpu	gpu	NOUN
ap-8679	261	9	execution	execution	NOUN
ap-8679	261	10	time	time	NOUN
ap-8679	261	11	is	be	AUX
ap-8679	261	12	ideal	ideal	ADJ
ap-8679	261	13	,	,	PUNCT
ap-8679	261	14	but	but	CCONJ
ap-8679	261	15	this	this	DET
ap-8679	261	16	architecture	architecture	NOUN
ap-8679	261	17	only	only	ADV
ap-8679	261	18	works	work	VERB
ap-8679	261	19	well	well	ADV
ap-8679	261	20	with	with	ADP
ap-8679	261	21	the	the	DET
ap-8679	261	22	sgdm	sgdm	NOUN
ap-8679	261	23	optimiser	optimiser	NOUN
ap-8679	261	24	.	.	PUNCT
ap-8679	262	1	some	some	DET
ap-8679	262	2	pretrained	pretraine	VERB
ap-8679	262	3	models	model	NOUN
ap-8679	262	4	converge	converge	VERB
ap-8679	262	5	significantly	significantly	ADV
ap-8679	262	6	faster	fast	ADV
ap-8679	262	7	than	than	ADP
ap-8679	262	8	cnn	cnn	PROPN
ap-8679	262	9	,	,	PUNCT
ap-8679	262	10	and	and	CCONJ
ap-8679	262	11	this	this	PRON
ap-8679	262	12	requires	require	VERB
ap-8679	262	13	our	our	PRON
ap-8679	262	14	attention	attention	NOUN
ap-8679	262	15	.	.	PUNCT
ap-8679	263	1	the	the	DET
ap-8679	263	2	time	time	NOUN
ap-8679	263	3	saved	save	VERB
ap-8679	263	4	is	be	AUX
ap-8679	263	5	enormous	enormous	ADJ
ap-8679	263	6	;	;	PUNCT
ap-8679	263	7	for	for	ADP
ap-8679	263	8	illustration	illustration	NOUN
ap-8679	263	9	,	,	PUNCT
ap-8679	263	10	cnn	cnn	PROPN
ap-8679	263	11	obtained	obtain	VERB
ap-8679	263	12	82.46	82.46	NUM
ap-8679	263	13	%	%	NOUN
ap-8679	263	14	with	with	ADP
ap-8679	263	15	67	67	NUM
ap-8679	263	16	minutes	minute	NOUN
ap-8679	263	17	and	and	CCONJ
ap-8679	263	18	22	22	NUM
ap-8679	263	19	seconds	second	NOUN
ap-8679	263	20	after	after	ADP
ap-8679	263	21	5	5	NUM
ap-8679	263	22	epochs	epoch	NOUN
ap-8679	263	23	.	.	PUNCT
ap-8679	264	1	alexnet	alexnet	NOUN
ap-8679	264	2	provides	provide	VERB
ap-8679	264	3	a	a	DET
ap-8679	264	4	superior	superior	ADJ
ap-8679	264	5	performance	performance	NOUN
ap-8679	264	6	for	for	ADP
ap-8679	264	7	the	the	DET
ap-8679	264	8	same	same	ADJ
ap-8679	264	9	epochs	epoch	NOUN
ap-8679	264	10	,	,	PUNCT
ap-8679	264	11	88.9	88.9	NUM
ap-8679	264	12	%	%	NOUN
ap-8679	264	13	in	in	ADP
ap-8679	264	14	16	16	NUM
ap-8679	264	15	m	m	NOUN
ap-8679	264	16	56s	56s	NUM
ap-8679	264	17	(	(	PUNCT
ap-8679	264	18	it	it	PRON
ap-8679	264	19	provides	provide	VERB
ap-8679	264	20	a	a	DET
ap-8679	264	21	better	well	ADJ
ap-8679	264	22	result	result	NOUN
ap-8679	264	23	in	in	ADP
ap-8679	264	24	only	only	ADV
ap-8679	264	25	a	a	DET
ap-8679	264	26	one	one	NUM
ap-8679	264	27	-	-	PUNCT
ap-8679	264	28	fourth	fourth	NOUN
ap-8679	264	29	of	of	ADP
ap-8679	264	30	the	the	DET
ap-8679	264	31	time	time	NOUN
ap-8679	264	32	)	)	PUNCT
ap-8679	264	33	.	.	PUNCT
ap-8679	265	1	however	however	ADV
ap-8679	265	2	,	,	PUNCT
ap-8679	265	3	in	in	ADP
ap-8679	265	4	order	order	NOUN
ap-8679	265	5	to	to	PART
ap-8679	265	6	make	make	VERB
ap-8679	265	7	a	a	DET
ap-8679	265	8	meaningful	meaningful	ADJ
ap-8679	265	9	com8	com8	PROPN
ap-8679	265	10	vol	vol	NOUN
ap-8679	265	11	.	.	PROPN
ap-8679	266	1	64	64	NUM
ap-8679	266	2	no	no	NOUN
ap-8679	266	3	.	.	PUNCT
ap-8679	267	1	1/2024	1/2024	NUM
ap-8679	267	2	cnn	cnn	PROPN
ap-8679	267	3	-	-	PUNCT
ap-8679	267	4	based	base	VERB
ap-8679	267	5	eye	eye	NOUN
ap-8679	267	6	disease	disease	NOUN
ap-8679	267	7	classification	classification	NOUN
ap-8679	267	8	from	from	ADP
ap-8679	267	9	fundus	fundus	NOUN
ap-8679	267	10	images	image	NOUN
ap-8679	267	11	the	the	DET
ap-8679	267	12	pretrained	pretraine	VERB
ap-8679	267	13	models	model	NOUN
ap-8679	267	14	alex	alex	PROPN
ap-8679	267	15	net	net	PROPN
ap-8679	267	16	google	google	PROPN
ap-8679	267	17	net	net	PROPN
ap-8679	267	18	resnet	resnet	NOUN
ap-8679	267	19	18	18	NUM
ap-8679	267	20	resnet	resnet	NOUN
ap-8679	267	21	50	50	NUM
ap-8679	267	22	vgg	vgg	NOUN
ap-8679	267	23	19	19	NUM
ap-8679	267	24	yolo	yolo	ADJ
ap-8679	267	25	v3	v3	PROPN
ap-8679	267	26	sgdm	sgdm	PROPN
ap-8679	267	27	accuracy	accuracy	NOUN
ap-8679	267	28	88.9	88.9	NUM
ap-8679	267	29	%	%	NOUN
ap-8679	267	30	92.7	92.7	NUM
ap-8679	267	31	%	%	NOUN
ap-8679	267	32	92.1	92.1	NUM
ap-8679	267	33	%	%	NOUN
ap-8679	267	34	57.8	57.8	NUM
ap-8679	267	35	%	%	NOUN
ap-8679	267	36	87.9	87.9	NUM
ap-8679	267	37	%	%	NOUN
ap-8679	267	38	68.07	68.07	NUM
ap-8679	267	39	%	%	NOUN
ap-8679	267	40	gpu	gpu	NOUN
ap-8679	267	41	execution	execution	NOUN
ap-8679	267	42	time	time	NOUN
ap-8679	267	43	16	16	NUM
ap-8679	267	44	m	m	PROPN
ap-8679	267	45	56s	56s	NUM
ap-8679	267	46	42	42	NUM
ap-8679	267	47	m	m	NOUN
ap-8679	267	48	9s	9s	NUM
ap-8679	267	49	35	35	NUM
ap-8679	267	50	m	m	NOUN
ap-8679	267	51	42s	42	NOUN
ap-8679	267	52	9	9	NUM
ap-8679	267	53	m	m	NOUN
ap-8679	267	54	43s	43s	NOUN
ap-8679	267	55	282	282	NUM
ap-8679	267	56	m	m	NOUN
ap-8679	267	57	32s	32s	NUM
ap-8679	267	58	183	183	NUM
ap-8679	267	59	m	m	PROPN
ap-8679	267	60	13s	13s	X
ap-8679	267	61	adam	adam	PROPN
ap-8679	267	62	accuracy	accuracy	NOUN
ap-8679	267	63	40.3	40.3	NUM
ap-8679	267	64	%	%	NOUN
ap-8679	267	65	86.3	86.3	NUM
ap-8679	267	66	%	%	NOUN
ap-8679	267	67	88.3	88.3	NUM
ap-8679	267	68	%	%	NOUN
ap-8679	267	69	68.4	68.4	NUM
ap-8679	267	70	%	%	NOUN
ap-8679	267	71	87.1	87.1	NUM
ap-8679	267	72	%	%	NOUN
ap-8679	267	73	51.42	51.42	NUM
ap-8679	267	74	%	%	NOUN
ap-8679	267	75	gpu	gpu	NOUN
ap-8679	267	76	execution	execution	NOUN
ap-8679	267	77	time	time	NOUN
ap-8679	267	78	19	19	NUM
ap-8679	267	79	m	m	NOUN
ap-8679	267	80	11s	11	NOUN
ap-8679	267	81	42	42	NUM
ap-8679	267	82	m	m	NOUN
ap-8679	267	83	24s	24s	NUM
ap-8679	267	84	36	36	NUM
ap-8679	267	85	m	m	NOUN
ap-8679	267	86	8s	8s	NUM
ap-8679	267	87	9	9	NUM
ap-8679	267	88	m	m	NOUN
ap-8679	267	89	39s	39s	NUM
ap-8679	267	90	283	283	NUM
ap-8679	267	91	m	m	NOUN
ap-8679	267	92	1s	1s	NUM
ap-8679	267	93	184	184	NUM
ap-8679	267	94	m	m	NOUN
ap-8679	267	95	47s	47	NOUN
ap-8679	267	96	rmsprop	rmsprop	NOUN
ap-8679	267	97	accuracy	accuracy	NOUN
ap-8679	267	98	60.7	60.7	NUM
ap-8679	267	99	%	%	NOUN
ap-8679	267	100	69.3	69.3	NUM
ap-8679	267	101	%	%	NOUN
ap-8679	267	102	79.9	79.9	NUM
ap-8679	267	103	%	%	NOUN
ap-8679	267	104	62.4	62.4	NUM
ap-8679	267	105	%	%	NOUN
ap-8679	267	106	83.3	83.3	NUM
ap-8679	267	107	%	%	NOUN
ap-8679	267	108	55.09	55.09	NUM
ap-8679	267	109	%	%	NOUN
ap-8679	267	110	gpu	gpu	NOUN
ap-8679	267	111	execution	execution	NOUN
ap-8679	267	112	time	time	NOUN
ap-8679	267	113	18	18	NUM
ap-8679	267	114	m	m	PROPN
ap-8679	267	115	56s	56s	NUM
ap-8679	267	116	42	42	NUM
ap-8679	267	117	m	m	PROPN
ap-8679	267	118	59s	59s	NUM
ap-8679	267	119	36	36	NUM
ap-8679	267	120	m	m	NOUN
ap-8679	267	121	35s	35	NOUN
ap-8679	267	122	9	9	NUM
ap-8679	267	123	m	m	NOUN
ap-8679	267	124	28s	28	NOUN
ap-8679	267	125	280	280	NUM
ap-8679	267	126	m	m	NOUN
ap-8679	267	127	58s	58	NOUN
ap-8679	267	128	184	184	NUM
ap-8679	267	129	m	m	NUM
ap-8679	267	130	9s	9s	NUM
ap-8679	267	131	table	table	NOUN
ap-8679	267	132	6	6	NUM
ap-8679	267	133	.	.	PUNCT
ap-8679	268	1	the	the	DET
ap-8679	268	2	results	result	NOUN
ap-8679	268	3	of	of	ADP
ap-8679	268	4	the	the	DET
ap-8679	268	5	pretrained	pretraine	VERB
ap-8679	268	6	models	model	NOUN
ap-8679	268	7	.	.	PUNCT
ap-8679	269	1	(	(	PUNCT
ap-8679	269	2	a	a	NOUN
ap-8679	269	3	)	)	PUNCT
ap-8679	269	4	.	.	PUNCT
ap-8679	270	1	(	(	PUNCT
ap-8679	270	2	b	b	X
ap-8679	270	3	)	)	PUNCT
ap-8679	270	4	.	.	PUNCT
ap-8679	271	1	figure	figure	VERB
ap-8679	271	2	7	7	NUM
ap-8679	271	3	.	.	PUNCT
ap-8679	271	4	confusion	confusion	NOUN
ap-8679	271	5	matrix	matrix	NOUN
ap-8679	271	6	for	for	ADP
ap-8679	271	7	the	the	DET
ap-8679	271	8	best	good	ADJ
ap-8679	271	9	models	model	NOUN
ap-8679	271	10	with	with	ADP
ap-8679	271	11	adam	adam	PROPN
ap-8679	271	12	optimiser	optimiser	PROPN
ap-8679	271	13	:	:	PUNCT
ap-8679	271	14	(	(	PUNCT
ap-8679	271	15	a	a	X
ap-8679	271	16	)	)	PUNCT
ap-8679	271	17	resnet	resnet	NOUN
ap-8679	271	18	18	18	NUM
ap-8679	271	19	;	;	PUNCT
ap-8679	271	20	(	(	PUNCT
ap-8679	271	21	b	b	X
ap-8679	271	22	)	)	PUNCT
ap-8679	271	23	vgg	vgg	NOUN
ap-8679	271	24	19	19	NUM
ap-8679	271	25	.	.	PUNCT
ap-8679	272	1	(	(	PUNCT
ap-8679	272	2	a	a	NOUN
ap-8679	272	3	)	)	PUNCT
ap-8679	272	4	.	.	PUNCT
ap-8679	273	1	(	(	PUNCT
ap-8679	273	2	b	b	NOUN
ap-8679	273	3	)	)	PUNCT
ap-8679	273	4	.	.	PUNCT
ap-8679	274	1	figure	figure	NOUN
ap-8679	274	2	8	8	NUM
ap-8679	274	3	.	.	PUNCT
ap-8679	275	1	confusion	confusion	NOUN
ap-8679	275	2	matrix	matrix	NOUN
ap-8679	275	3	for	for	ADP
ap-8679	275	4	the	the	DET
ap-8679	275	5	best	good	ADJ
ap-8679	275	6	models	model	NOUN
ap-8679	275	7	with	with	ADP
ap-8679	275	8	rmsprop	rmsprop	NOUN
ap-8679	275	9	optimiser	optimiser	NOUN
ap-8679	275	10	:	:	PUNCT
ap-8679	275	11	(	(	PUNCT
ap-8679	275	12	a	a	X
ap-8679	275	13	)	)	PUNCT
ap-8679	275	14	resnet	resnet	NOUN
ap-8679	275	15	18	18	NUM
ap-8679	275	16	;	;	PUNCT
ap-8679	275	17	(	(	PUNCT
ap-8679	275	18	b	b	X
ap-8679	275	19	)	)	PUNCT
ap-8679	275	20	vgg	vgg	NOUN
ap-8679	275	21	19	19	NUM
ap-8679	275	22	.	.	NOUN
ap-8679	275	23	9	9	NUM
ap-8679	275	24	s.	s.	PROPN
ap-8679	275	25	benbakreti	benbakreti	PROPN
ap-8679	275	26	,	,	PUNCT
ap-8679	275	27	s.	s.	PROPN
ap-8679	275	28	benbakreti	benbakreti	PROPN
ap-8679	275	29	,	,	PUNCT
ap-8679	275	30	u.	u.	PROPN
ap-8679	275	31	ozkaya	ozkaya	PROPN
ap-8679	275	32	acta	acta	PROPN
ap-8679	275	33	polytechnica	polytechnica	PROPN
ap-8679	275	34	parison	parison	PROPN
ap-8679	275	35	,	,	PUNCT
ap-8679	275	36	we	we	PRON
ap-8679	275	37	have	have	AUX
ap-8679	275	38	kept	keep	VERB
ap-8679	275	39	the	the	DET
ap-8679	275	40	same	same	ADJ
ap-8679	275	41	training	training	NOUN
ap-8679	275	42	parameters	parameter	NOUN
ap-8679	275	43	for	for	ADP
ap-8679	275	44	all	all	DET
ap-8679	275	45	the	the	DET
ap-8679	275	46	pretrained	pretraine	VERB
ap-8679	275	47	models	model	NOUN
ap-8679	275	48	.	.	PUNCT
ap-8679	276	1	we	we	PRON
ap-8679	276	2	can	can	AUX
ap-8679	276	3	also	also	ADV
ap-8679	276	4	remark	remark	VERB
ap-8679	276	5	that	that	SCONJ
ap-8679	276	6	these	these	DET
ap-8679	276	7	findings	finding	NOUN
ap-8679	276	8	can	can	AUX
ap-8679	276	9	be	be	AUX
ap-8679	276	10	improved	improve	VERB
ap-8679	276	11	.	.	PUNCT
ap-8679	277	1	6	6	X
ap-8679	277	2	.	.	X
ap-8679	277	3	conclusions	conclusion	NOUN
ap-8679	277	4	the	the	DET
ap-8679	277	5	goal	goal	NOUN
ap-8679	277	6	of	of	ADP
ap-8679	277	7	this	this	DET
ap-8679	277	8	research	research	NOUN
ap-8679	277	9	was	be	AUX
ap-8679	277	10	to	to	PART
ap-8679	277	11	construct	construct	VERB
ap-8679	277	12	a	a	DET
ap-8679	277	13	convolutional	convolutional	ADJ
ap-8679	277	14	neural	neural	ADJ
ap-8679	277	15	network	network	NOUN
ap-8679	277	16	(	(	PUNCT
ap-8679	277	17	cnn	cnn	PROPN
ap-8679	277	18	)	)	PUNCT
ap-8679	277	19	model	model	NOUN
ap-8679	277	20	to	to	PART
ap-8679	277	21	classify	classify	VERB
ap-8679	277	22	three	three	NUM
ap-8679	277	23	different	different	ADJ
ap-8679	277	24	eye	eye	NOUN
ap-8679	277	25	diseases	disease	NOUN
ap-8679	277	26	using	use	VERB
ap-8679	277	27	fundus	fundus	NOUN
ap-8679	277	28	images	image	NOUN
ap-8679	277	29	.	.	PUNCT
ap-8679	278	1	in	in	ADP
ap-8679	278	2	addition	addition	NOUN
ap-8679	278	3	to	to	ADP
ap-8679	278	4	cnn	cnn	PROPN
ap-8679	278	5	,	,	PUNCT
ap-8679	278	6	pre	pre	ADJ
ap-8679	278	7	-	-	ADJ
ap-8679	278	8	trained	train	VERB
ap-8679	278	9	models	model	NOUN
ap-8679	278	10	,	,	PUNCT
ap-8679	278	11	such	such	ADJ
ap-8679	278	12	as	as	ADP
ap-8679	278	13	alexnet	alexnet	ADJ
ap-8679	278	14	,	,	PUNCT
ap-8679	278	15	googlenet	googlenet	NOUN
ap-8679	278	16	,	,	PUNCT
ap-8679	278	17	resnet	resnet	NOUN
ap-8679	278	18	18	18	NUM
ap-8679	278	19	,	,	PUNCT
ap-8679	278	20	and	and	CCONJ
ap-8679	278	21	vgg	vgg	NOUN
ap-8679	278	22	19	19	NUM
ap-8679	278	23	,	,	PUNCT
ap-8679	278	24	were	be	AUX
ap-8679	278	25	used	use	VERB
ap-8679	278	26	in	in	ADP
ap-8679	278	27	this	this	DET
ap-8679	278	28	study	study	NOUN
ap-8679	278	29	.	.	PUNCT
ap-8679	279	1	after	after	ADP
ap-8679	279	2	training	train	VERB
ap-8679	279	3	on	on	ADP
ap-8679	279	4	80	80	NUM
ap-8679	279	5	%	%	NOUN
ap-8679	279	6	of	of	ADP
ap-8679	279	7	the	the	DET
ap-8679	279	8	dataset	dataset	NOUN
ap-8679	279	9	and	and	CCONJ
ap-8679	279	10	testing	testing	NOUN
ap-8679	279	11	on	on	ADP
ap-8679	279	12	20	20	NUM
ap-8679	279	13	%	%	NOUN
ap-8679	279	14	,	,	PUNCT
ap-8679	279	15	cnn	cnn	PROPN
ap-8679	279	16	produced	produce	VERB
ap-8679	279	17	a	a	DET
ap-8679	279	18	classification	classification	NOUN
ap-8679	279	19	result	result	NOUN
ap-8679	279	20	for	for	ADP
ap-8679	279	21	the	the	DET
ap-8679	279	22	four	four	NUM
ap-8679	279	23	classes	class	NOUN
ap-8679	279	24	with	with	ADP
ap-8679	279	25	an	an	DET
ap-8679	279	26	accuracy	accuracy	NOUN
ap-8679	279	27	of	of	ADP
ap-8679	279	28	87.4	87.4	NUM
ap-8679	279	29	%	%	NOUN
ap-8679	279	30	using	use	VERB
ap-8679	279	31	6	6	NUM
ap-8679	279	32	convolution	convolution	NOUN
ap-8679	279	33	layers	layer	NOUN
ap-8679	279	34	and	and	CCONJ
ap-8679	279	35	20	20	NUM
ap-8679	279	36	epochs	epoch	NOUN
ap-8679	279	37	.	.	PUNCT
ap-8679	280	1	we	we	PRON
ap-8679	280	2	also	also	ADV
ap-8679	280	3	tried	try	VERB
ap-8679	280	4	to	to	PART
ap-8679	280	5	use	use	VERB
ap-8679	280	6	the	the	DET
ap-8679	280	7	pre	pre	ADJ
ap-8679	280	8	-	-	ADJ
ap-8679	280	9	trained	train	VERB
ap-8679	280	10	models	model	NOUN
ap-8679	280	11	as	as	ADP
ap-8679	280	12	a	a	DET
ap-8679	280	13	result	result	NOUN
ap-8679	280	14	of	of	ADP
ap-8679	280	15	the	the	DET
ap-8679	280	16	subpar	subpar	ADJ
ap-8679	280	17	performance	performance	NOUN
ap-8679	280	18	.	.	PUNCT
ap-8679	281	1	these	these	PRON
ap-8679	281	2	were	be	AUX
ap-8679	281	3	applied	apply	VERB
ap-8679	281	4	to	to	ADP
ap-8679	281	5	the	the	DET
ap-8679	281	6	same	same	ADJ
ap-8679	281	7	dataset	dataset	NOUN
ap-8679	281	8	and	and	CCONJ
ap-8679	281	9	produced	produce	VERB
ap-8679	281	10	better	well	ADJ
ap-8679	281	11	results	result	NOUN
ap-8679	281	12	for	for	ADP
ap-8679	281	13	googlenet	googlenet	NOUN
ap-8679	281	14	,	,	PUNCT
ap-8679	281	15	resnet	resnet	NOUN
ap-8679	281	16	18	18	NUM
ap-8679	281	17	,	,	PUNCT
ap-8679	281	18	vgg	vgg	NOUN
ap-8679	281	19	19	19	NUM
ap-8679	281	20	,	,	PUNCT
ap-8679	281	21	and	and	CCONJ
ap-8679	281	22	alexnet	alexnet	NOUN
ap-8679	281	23	with	with	ADP
ap-8679	281	24	the	the	DET
ap-8679	281	25	sgdm	sgdm	NOUN
ap-8679	281	26	optimiser	optimiser	NOUN
ap-8679	281	27	(	(	PUNCT
ap-8679	281	28	92.7	92.7	NUM
ap-8679	281	29	%	%	NOUN
ap-8679	281	30	,	,	PUNCT
ap-8679	281	31	92.1	92.1	NUM
ap-8679	281	32	%	%	NOUN
ap-8679	281	33	,	,	PUNCT
ap-8679	281	34	87.9	87.9	NUM
ap-8679	281	35	%	%	NOUN
ap-8679	281	36	,	,	PUNCT
ap-8679	281	37	and	and	CCONJ
ap-8679	281	38	88.9	88.9	NUM
ap-8679	281	39	%	%	NOUN
ap-8679	281	40	,	,	PUNCT
ap-8679	281	41	respectively	respectively	ADV
ap-8679	281	42	)	)	PUNCT
ap-8679	281	43	,	,	PUNCT
ap-8679	281	44	and	and	CCONJ
ap-8679	281	45	88.3	88.3	NUM
ap-8679	281	46	%	%	NOUN
ap-8679	281	47	,	,	PUNCT
ap-8679	281	48	87.1	87.1	NUM
ap-8679	281	49	%	%	NOUN
ap-8679	281	50	for	for	ADP
ap-8679	281	51	resnet	resnet	NOUN
ap-8679	281	52	18	18	NUM
ap-8679	281	53	and	and	CCONJ
ap-8679	281	54	vgg19	vgg19	PROPN
ap-8679	281	55	,	,	PUNCT
ap-8679	281	56	respectively	respectively	ADV
ap-8679	281	57	,	,	PUNCT
ap-8679	281	58	with	with	ADP
ap-8679	281	59	the	the	DET
ap-8679	281	60	adam	adam	PROPN
ap-8679	281	61	optimiser	optimiser	PROPN
ap-8679	281	62	.	.	PUNCT
ap-8679	282	1	we	we	PRON
ap-8679	282	2	can	can	AUX
ap-8679	282	3	conclude	conclude	VERB
ap-8679	282	4	that	that	SCONJ
ap-8679	282	5	the	the	DET
ap-8679	282	6	rmsprop	rmsprop	NOUN
ap-8679	282	7	optimiser	optimiser	NOUN
ap-8679	282	8	does	do	AUX
ap-8679	282	9	not	not	PART
ap-8679	282	10	yield	yield	VERB
ap-8679	282	11	satisfactory	satisfactory	ADJ
ap-8679	282	12	results	result	NOUN
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ap-8679	283	1	in	in	ADP
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ap-8679	283	7	techniques	technique	NOUN
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ap-8679	283	12	being	be	AUX
ap-8679	283	13	done	do	VERB
ap-8679	283	14	to	to	PART
ap-8679	283	15	suggest	suggest	VERB
ap-8679	283	16	architectures	architecture	NOUN
ap-8679	283	17	that	that	PRON
ap-8679	283	18	initially	initially	ADV
ap-8679	283	19	create	create	VERB
ap-8679	283	20	smoother	smooth	ADJ
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ap-8679	283	23	,	,	PUNCT
ap-8679	283	24	a	a	DET
ap-8679	283	25	field	field	NOUN
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ap-8679	283	27	research	research	NOUN
ap-8679	283	28	that	that	SCONJ
ap-8679	283	29	we	we	PRON
ap-8679	283	30	are	be	AUX
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ap-8679	283	34	in	in	ADP
ap-8679	283	35	future	future	ADJ
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ap-8679	284	3	1	1	NUM
ap-8679	284	4	]	]	PUNCT
ap-8679	284	5	p.	p.	PROPN
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ap-8679	285	4	in	in	ADP
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ap-8679	285	8	(	(	PUNCT
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ap-8679	285	10	)	)	PUNCT
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ap-8679	285	12	ocular	ocular	ADJ
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ap-8679	285	14	.	.	PUNCT
ap-8679	286	1	in	in	ADP
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ap-8679	286	7	.	.	PUNCT
ap-8679	286	8	)	)	PUNCT
ap-8679	286	9	,	,	PUNCT
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ap-8679	286	11	pharmacology	pharmacology	NOUN
ap-8679	286	12	and	and	CCONJ
ap-8679	286	13	toxicology	toxicology	NOUN
ap-8679	286	14	,	,	PUNCT
ap-8679	286	15	pp	pp	ADJ
ap-8679	286	16	.	.	PUNCT
ap-8679	286	17	33–52	33–52	X
ap-8679	286	18	.	.	PUNCT
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ap-8679	287	3	,	,	PUNCT
ap-8679	287	4	totowa	totowa	PROPN
ap-8679	287	5	,	,	PUNCT
ap-8679	287	6	nj	nj	PROPN
ap-8679	287	7	,	,	PUNCT
ap-8679	287	8	2013	2013	NUM
ap-8679	287	9	.	.	PUNCT
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ap-8679	289	2	2	2	NUM
ap-8679	289	3	]	]	PUNCT
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ap-8679	289	7	.	.	PUNCT
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ap-8679	290	2	2023	2023	NUM
ap-8679	290	3	-	-	SYM
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ap-8679	290	5	-	-	SYM
ap-8679	290	6	15	15	NUM
ap-8679	290	7	]	]	PUNCT
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ap-8679	292	1	[	[	X
ap-8679	292	2	3	3	NUM
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ap-8679	292	23	,	,	PUNCT
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ap-8679	292	32	and	and	CCONJ
ap-8679	292	33	distance	distance	NOUN
ap-8679	292	34	and	and	CCONJ
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ap-8679	295	3	]	]	X
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ap-8679	296	2	and	and	CCONJ
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ap-8679	296	8	.	.	PUNCT
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ap-8679	297	7	]	]	PUNCT
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ap-8679	299	3	]	]	PUNCT
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ap-8679	300	8	.	.	PUNCT
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ap-8679	301	8	.	.	PUNCT
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ap-8679	302	9	6	6	NUM
ap-8679	302	10	]	]	PUNCT
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ap-8679	303	1	[	[	X
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ap-8679	303	3	-	-	SYM
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ap-8679	303	5	-	-	SYM
ap-8679	303	6	15	15	NUM
ap-8679	303	7	]	]	PUNCT
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ap-8679	304	1	https://www.who.int/news/item/08-10-2019-wholaunches-first-world-report-on-vision	https://www.who.int/news/item/08-10-2019-wholaunches-first-world-report-on-vision	NOUN
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ap-8679	308	9	-	-	PUNCT
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ap-8679	310	7	:	:	PUNCT
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ap-8679	314	10	,	,	PUNCT
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ap-8679	314	12	.	.	PUNCT
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ap-8679	325	8	.	.	PUNCT
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ap-8679	358	7	for	for	ADP
ap-8679	358	8	automated	automate	VERB
ap-8679	358	9	classification	classification	NOUN
ap-8679	358	10	of	of	ADP
ap-8679	358	11	patient	patient	NOUN
ap-8679	358	12	-	-	PUNCT
ap-8679	358	13	based	base	VERB
ap-8679	358	14	age	age	NOUN
ap-8679	358	15	-	-	PUNCT
ap-8679	358	16	related	relate	VERB
ap-8679	358	17	macular	macular	ADJ
ap-8679	358	18	degeneration	degeneration	NOUN
ap-8679	358	19	severity	severity	NOUN
ap-8679	358	20	from	from	ADP
ap-8679	358	21	color	color	NOUN
ap-8679	358	22	fundus	fundus	NOUN
ap-8679	358	23	photographs	photograph	NOUN
ap-8679	358	24	.	.	PUNCT
ap-8679	359	1	ophthalmology	ophthalmology	NOUN
ap-8679	359	2	126(4):565–575	126(4):565–575	NUM
ap-8679	359	3	,	,	PUNCT
ap-8679	359	4	2019	2019	NUM
ap-8679	359	5	.	.	PUNCT
ap-8679	360	1	https://doi.org/10.1016/j.ophtha.2018.11.015	https://doi.org/10.1016/j.ophtha.2018.11.015	NUM
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ap-8679	360	3	21	21	NUM
ap-8679	360	4	]	]	PUNCT
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ap-8679	360	7	,	,	PUNCT
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ap-8679	360	11	j.	j.	PROPN
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ap-8679	360	14	,	,	PUNCT
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ap-8679	360	16	al	al	PROPN
ap-8679	360	17	.	.	PROPN
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ap-8679	360	19	machine	machine	NOUN
ap-8679	360	20	learning	learning	NOUN
ap-8679	360	21	based	base	VERB
ap-8679	360	22	multi	multi	ADJ
ap-8679	360	23	-	-	ADJ
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ap-8679	360	29	retinopathies	retinopathy	NOUN
ap-8679	360	30	.	.	PUNCT
ap-8679	361	1	journal	journal	NOUN
ap-8679	361	2	of	of	ADP
ap-8679	361	3	clinical	clinical	ADJ
ap-8679	361	4	medicine	medicine	NOUN
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ap-8679	361	6	,	,	PUNCT
ap-8679	361	7	2019	2019	NUM
ap-8679	361	8	.	.	PUNCT
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ap-8679	363	2	22	22	NUM
ap-8679	363	3	]	]	PUNCT
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ap-8679	363	7	z.	z.	PROPN
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ap-8679	364	7	cataract	cataract	NOUN
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ap-8679	364	10	as	as	ADP
ap-8679	364	11	-	-	PUNCT
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ap-8679	364	13	image	image	NOUN
ap-8679	364	14	.	.	PUNCT
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ap-8679	365	6	,	,	PUNCT
ap-8679	365	7	2022	2022	NUM
ap-8679	365	8	.	.	PUNCT
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ap-8679	366	2	23	23	NUM
ap-8679	366	3	]	]	PUNCT
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ap-8679	366	12	,	,	PUNCT
ap-8679	366	13	et	et	PROPN
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ap-8679	366	28	neural	neural	ADJ
ap-8679	366	29	network	network	NOUN
ap-8679	366	30	.	.	PUNCT
ap-8679	367	1	the	the	DET
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ap-8679	367	5	,	,	PUNCT
ap-8679	367	6	2020	2020	NUM
ap-8679	367	7	.	.	PUNCT
ap-8679	368	1	https://doi.org/10.1007/s00371-020-01994-3	https://doi.org/10.1007/s00371-020-01994-3	NUM
ap-8679	369	1	[	[	X
ap-8679	369	2	24	24	NUM
ap-8679	369	3	]	]	PUNCT
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ap-8679	369	16	et	et	PROPN
ap-8679	369	17	al	al	PROPN
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ap-8679	369	25	-	-	PUNCT
ap-8679	369	26	herding	herd	VERB
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ap-8679	369	29	and	and	CCONJ
ap-8679	369	30	deep	deep	ADJ
ap-8679	369	31	belief	belief	NOUN
ap-8679	369	32	network	network	NOUN
ap-8679	369	33	.	.	PUNCT
ap-8679	370	1	electronics	electronic	NOUN
ap-8679	370	2	11(11):1763	11(11):1763	NUM
ap-8679	370	3	,	,	PUNCT
ap-8679	370	4	2022	2022	NUM
ap-8679	370	5	.	.	PUNCT
ap-8679	371	1	https://doi.org/10.3390/electronics11111763	https://doi.org/10.3390/electronics11111763	PROPN
ap-8679	372	1	[	[	X
ap-8679	372	2	25	25	NUM
ap-8679	372	3	]	]	PUNCT
ap-8679	372	4	a.	a.	PROPN
ap-8679	372	5	r.	r.	PROPN
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ap-8679	372	7	,	,	PUNCT
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ap-8679	372	17	et	et	PROPN
ap-8679	372	18	al	al	PROPN
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ap-8679	372	21	nerve	nerve	NOUN
ap-8679	372	22	fiber	fiber	NOUN
ap-8679	372	23	layer	layer	NOUN
ap-8679	372	24	analysis	analysis	NOUN
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ap-8679	372	31	detection	detection	NOUN
ap-8679	372	32	in	in	ADP
ap-8679	372	33	eye	eye	NOUN
ap-8679	372	34	disease	disease	NOUN
ap-8679	372	35	assessment	assessment	NOUN
ap-8679	372	36	.	.	PUNCT
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ap-8679	373	2	sciences	science	NOUN
ap-8679	373	3	13(1):37	13(1):37	NUM
ap-8679	373	4	,	,	PUNCT
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ap-8679	373	6	.	.	PUNCT
ap-8679	374	1	https://doi.org/10.3390/app13010037	https://doi.org/10.3390/app13010037	PROPN
ap-8679	375	1	[	[	X
ap-8679	375	2	26	26	NUM
ap-8679	375	3	]	]	PUNCT
ap-8679	375	4	v.	v.	CCONJ
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ap-8679	375	7	r.	r.	PROPN
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ap-8679	375	10	d.	d.	PROPN
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ap-8679	375	14	et	et	PROPN
ap-8679	375	15	al	al	PROPN
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ap-8679	375	19	of	of	ADP
ap-8679	375	20	retinal	retinal	ADJ
ap-8679	375	21	images	image	NOUN
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ap-8679	375	26	-	-	ADJ
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ap-8679	375	31	study	study	NOUN
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ap-8679	375	33	multi	multi	ADJ
ap-8679	375	34	-	-	ADJ
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ap-8679	375	38	-	-	PUNCT
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ap-8679	375	40	enhanced	enhance	VERB
ap-8679	375	41	images	image	NOUN
ap-8679	375	42	.	.	PUNCT
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ap-8679	376	3	14:1163–1171	14:1163–1171	NUM
ap-8679	376	4	,	,	PUNCT
ap-8679	376	5	2021	2021	NUM
ap-8679	376	6	.	.	PUNCT
ap-8679	377	1	https://doi.org/10.1007/s12065-021-00581-2	https://doi.org/10.1007/s12065-021-00581-2	NUM
ap-8679	378	1	[	[	X
ap-8679	378	2	27	27	NUM
ap-8679	378	3	]	]	PUNCT
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ap-8679	378	5	miere	miere	PROPN
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ap-8679	378	7	t.	t.	PROPN
ap-8679	378	8	l.	l.	PROPN
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ap-8679	378	10	,	,	PUNCT
ap-8679	378	11	k.	k.	PROPN
ap-8679	378	12	bitton	bitton	PROPN
ap-8679	378	13	,	,	PUNCT
ap-8679	378	14	et	et	PROPN
ap-8679	378	15	al	al	PROPN
ap-8679	378	16	.	.	PUNCT
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ap-8679	379	2	learning	learning	NOUN
ap-8679	379	3	-	-	PUNCT
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ap-8679	379	5	classification	classification	NOUN
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ap-8679	380	6	,	,	PUNCT
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ap-8679	380	8	.	.	PUNCT
ap-8679	381	1	https://doi.org/10.3390/jcm9103303	https://doi.org/10.3390/jcm9103303	NOUN
ap-8679	382	1	[	[	X
ap-8679	382	2	28	28	NUM
ap-8679	382	3	]	]	X
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ap-8679	382	5	h.	h.	PROPN
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ap-8679	382	8	t.	t.	PROPN
ap-8679	382	9	n.	n.	PROPN
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ap-8679	384	6	,	,	PUNCT
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ap-8679	384	8	.	.	PUNCT
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ap-8679	385	1	[	[	X
ap-8679	385	2	29	29	NUM
ap-8679	385	3	]	]	X
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ap-8679	386	8	.	.	PUNCT
ap-8679	387	1	[	[	X
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ap-8679	387	3	-	-	SYM
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ap-8679	387	5	-	-	NUM
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ap-8679	387	8	.	.	PUNCT
ap-8679	388	1	arxiv:1609.04747	arxiv:1609.04747	PROPN
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ap-8679	388	4	30	30	NUM
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ap-8679	390	1	[	[	X
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ap-8679	390	3	-	-	SYM
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ap-8679	390	5	-	-	NUM
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ap-8679	390	7	]	]	PUNCT
ap-8679	390	8	.	.	PUNCT
ap-8679	391	1	arxiv:1412.6980	arxiv:1412.6980	X
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ap-8679	392	15	-	-	PUNCT
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ap-8679	396	6	.	.	PUNCT
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ap-8679	407	2	.	.	NOUN
ap-8679	408	1	2016	2016	NUM
ap-8679	408	2	.	.	PUNCT
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ap-8679	411	2	2015	2015	NUM
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ap-8679	411	13	)	)	PUNCT
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ap-8679	412	1	1–9	1–9	NUM
ap-8679	412	2	.	.	NOUN
ap-8679	412	3	2015	2015	NUM
ap-8679	412	4	.	.	PUNCT
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ap-8679	413	4	]	]	PUNCT
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ap-8679	415	18	)	)	PUNCT
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ap-8679	415	21	in	in	ADP
ap-8679	415	22	neural	neural	ADJ
ap-8679	415	23	information	information	NOUN
ap-8679	415	24	processing	processing	NOUN
ap-8679	415	25	systems	system	NOUN
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ap-8679	416	5	,	,	PUNCT
ap-8679	416	6	inc	inc	PROPN
ap-8679	416	7	.	.	PROPN
ap-8679	416	8	,	,	PUNCT
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ap-8679	416	10	.	.	PUNCT
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ap-8679	417	16	https://doi.org/10.48550/arxiv.1412.6980	https://doi.org/10.48550/arxiv.1412.6980	PROPN
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ap-8679	417	21	https://doi.org/10.1109/cvpr.2015.7298594	https://doi.org/10.1109/cvpr.2015.7298594	PROPN
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ap-8679	417	24	acta	acta	PROPN
ap-8679	417	25	polytechnica	polytechnica	PROPN
ap-8679	417	26	64(1):1–11	64(1):1–11	NUM
ap-8679	417	27	,	,	PUNCT
ap-8679	417	28	2024	2024	NUM
ap-8679	417	29	1	1	NUM
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ap-8679	417	31	2	2	NUM
ap-8679	417	32	related	relate	VERB
ap-8679	417	33	work	work	NOUN
ap-8679	417	34	3	3	NUM
ap-8679	417	35	description	description	NOUN
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ap-8679	417	38	dataset	dataset	NOUN
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ap-8679	417	40	data	datum	NOUN
ap-8679	417	41	augmentation	augmentation	NOUN
ap-8679	417	42	4	4	NUM
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ap-8679	417	55	models	model	NOUN
ap-8679	417	56	5.2.1	5.2.1	NUM
ap-8679	417	57	yolo	yolo	ADJ
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ap-8679	417	63	50	50	NUM
ap-8679	417	64	5.2.4	5.2.4	NUM
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ap-8679	417	68	v3	v3	PROPN
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ap-8679	417	70	5.2.5	5.2.5	NUM
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ap-8679	417	75	18	18	NUM
ap-8679	417	76	6	6	NUM
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ap-8679	417	78	references	reference	NOUN