id	sid	tid	token	lemma	pos
cuesj-388	1	1	tx_1	tx_1	PROPN
cuesj-388	1	2	~	~	X
cuesj-388	1	3	abs	ab	NOUN
cuesj-388	1	4	:	:	PUNCT
cuesj-388	1	5	at	at	ADP
cuesj-388	1	6	/	/	SYM
cuesj-388	1	7	add	add	VERB
cuesj-388	1	8	:	:	PUNCT
cuesj-388	1	9	tx_2	tx_2	PROPN
cuesj-388	1	10	~	~	NOUN
cuesj-388	1	11	abs	ab	NOUN
cuesj-388	1	12	:	:	PUNCT
cuesj-388	1	13	at	at	ADP
cuesj-388	1	14	46	46	NUM
cuesj-388	1	15	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-388	1	16	cuesj	cuesj	ADJ
cuesj-388	1	17	2021	2021	NUM
cuesj-388	1	18	,	,	PUNCT
cuesj-388	1	19	5	5	NUM
cuesj-388	1	20	(	(	PUNCT
cuesj-388	1	21	2	2	NUM
cuesj-388	1	22	):	):	PUNCT
cuesj-388	1	23	46	46	NUM
cuesj-388	1	24	-	-	SYM
cuesj-388	1	25	51	51	NUM
cuesj-388	1	26	research	research	NOUN
cuesj-388	1	27	article	article	NOUN
cuesj-388	1	28	automatic	automatic	ADJ
cuesj-388	1	29	classification	classification	NOUN
cuesj-388	1	30	of	of	ADP
cuesj-388	1	31	coronavirus	coronavirus	NOUN
cuesj-388	1	32	disease-19	disease-19	PROPN
cuesj-388	1	33	chest	chest	NOUN
cuesj-388	1	34	x	x	NOUN
cuesj-388	1	35	-	-	NOUN
cuesj-388	1	36	ray	ray	NOUN
cuesj-388	1	37	images	image	NOUN
cuesj-388	1	38	using	use	VERB
cuesj-388	1	39	local	local	ADJ
cuesj-388	1	40	binary	binary	ADJ
cuesj-388	1	41	pattern	pattern	NOUN
cuesj-388	1	42	and	and	CCONJ
cuesj-388	1	43	binary	binary	ADJ
cuesj-388	1	44	particle	particle	NOUN
cuesj-388	1	45	swarm	swarm	NOUN
cuesj-388	1	46	optimization	optimization	NOUN
cuesj-388	1	47	for	for	ADP
cuesj-388	1	48	feature	feature	NOUN
cuesj-388	1	49	selection	selection	NOUN
cuesj-388	1	50	bazhdar	bazhdar	ADJ
cuesj-388	1	51	n.	n.	PROPN
cuesj-388	1	52	mohammed1	mohammed1	PROPN
cuesj-388	1	53	,	,	PUNCT
cuesj-388	1	54	firas	firas	PROPN
cuesj-388	1	55	h.	h.	PROPN
cuesj-388	1	56	al	al	PROPN
cuesj-388	1	57	-	-	PUNCT
cuesj-388	1	58	mukhtar2	mukhtar2	PROPN
cuesj-388	1	59	,	,	PUNCT
cuesj-388	1	60	raghad	raghad	ADJ
cuesj-388	1	61	z.	z.	PROPN
cuesj-388	1	62	yousif1	yousif1	PROPN
cuesj-388	1	63	,	,	PUNCT
cuesj-388	1	64	yazen	yazen	NOUN
cuesj-388	1	65	s.	s.	PROPN
cuesj-388	1	66	almashhadani3	almashhadani3	PROPN
cuesj-388	2	1	1department	1department	NUM
cuesj-388	2	2	of	of	ADP
cuesj-388	2	3	physics	physics	PROPN
cuesj-388	2	4	,	,	PUNCT
cuesj-388	2	5	salahaddin	salahaddin	VERB
cuesj-388	2	6	university	university	NOUN
cuesj-388	2	7	-	-	PUNCT
cuesj-388	2	8	erbil	erbil	PROPN
cuesj-388	2	9	,	,	PUNCT
cuesj-388	2	10	iraq	iraq	PROPN
cuesj-388	2	11	,	,	PUNCT
cuesj-388	2	12	2department	2department	NUM
cuesj-388	2	13	of	of	ADP
cuesj-388	2	14	information	information	NOUN
cuesj-388	2	15	technology	technology	NOUN
cuesj-388	2	16	and	and	CCONJ
cuesj-388	2	17	computer	computer	NOUN
cuesj-388	2	18	science	science	NOUN
cuesj-388	2	19	,	,	PUNCT
cuesj-388	2	20	catholic	catholic	PROPN
cuesj-388	2	21	university	university	PROPN
cuesj-388	2	22	in	in	ADP
cuesj-388	2	23	erbil	erbil	PROPN
cuesj-388	2	24	,	,	PUNCT
cuesj-388	2	25	iraq	iraq	PROPN
cuesj-388	2	26	,	,	PUNCT
cuesj-388	2	27	3department	3department	NUM
cuesj-388	2	28	of	of	ADP
cuesj-388	2	29	communication	communication	NOUN
cuesj-388	2	30	and	and	CCONJ
cuesj-388	2	31	computer	computer	NOUN
cuesj-388	2	32	engineering	engineering	NOUN
cuesj-388	2	33	,	,	PUNCT
cuesj-388	2	34	cihan	cihan	VERB
cuesj-388	2	35	university	university	NOUN
cuesj-388	2	36	-	-	PUNCT
cuesj-388	2	37	erbil	erbil	PROPN
cuesj-388	2	38	,	,	PUNCT
cuesj-388	2	39	kurdistan	kurdistan	ADJ
cuesj-388	2	40	region	region	NOUN
cuesj-388	2	41	,	,	PUNCT
cuesj-388	2	42	iraq	iraq	PROPN
cuesj-388	2	43	abstract	abstract	ADJ
cuesj-388	2	44	novel	novel	ADJ
cuesj-388	2	45	coronavirus	coronavirus	NOUN
cuesj-388	2	46	disease	disease	NOUN
cuesj-388	2	47	2019	2019	NUM
cuesj-388	2	48	(	(	PUNCT
cuesj-388	2	49	covid-19	covid-19	PROPN
cuesj-388	2	50	)	)	PUNCT
cuesj-388	2	51	is	be	AUX
cuesj-388	2	52	a	a	DET
cuesj-388	2	53	type	type	NOUN
cuesj-388	2	54	of	of	ADP
cuesj-388	2	55	pandemic	pandemic	ADJ
cuesj-388	2	56	viruses	virus	NOUN
cuesj-388	2	57	that	that	PRON
cuesj-388	2	58	causes	cause	VERB
cuesj-388	2	59	respiratory	respiratory	ADJ
cuesj-388	2	60	tract	tract	NOUN
cuesj-388	2	61	infection	infection	NOUN
cuesj-388	2	62	in	in	ADP
cuesj-388	2	63	humans	human	NOUN
cuesj-388	2	64	.	.	PUNCT
cuesj-388	3	1	the	the	DET
cuesj-388	3	2	clinical	clinical	ADJ
cuesj-388	3	3	imaging	imaging	NOUN
cuesj-388	3	4	of	of	ADP
cuesj-388	3	5	chest	chest	NOUN
cuesj-388	3	6	x	x	NOUN
cuesj-388	3	7	-	-	NOUN
cuesj-388	3	8	ray	ray	NOUN
cuesj-388	3	9	(	(	PUNCT
cuesj-388	3	10	cxr	cxr	NOUN
cuesj-388	3	11	)	)	PUNCT
cuesj-388	3	12	by	by	ADP
cuesj-388	3	13	computer	computer	NOUN
cuesj-388	3	14	-	-	PUNCT
cuesj-388	3	15	aided	aid	VERB
cuesj-388	3	16	diagnosis	diagnosis	NOUN
cuesj-388	3	17	(	(	PUNCT
cuesj-388	3	18	cad	cad	NOUN
cuesj-388	3	19	)	)	PUNCT
cuesj-388	3	20	plays	play	VERB
cuesj-388	3	21	an	an	DET
cuesj-388	3	22	essential	essential	ADJ
cuesj-388	3	23	role	role	NOUN
cuesj-388	3	24	in	in	ADP
cuesj-388	3	25	identifying	identify	VERB
cuesj-388	3	26	the	the	DET
cuesj-388	3	27	patients	patient	NOUN
cuesj-388	3	28	infected	infect	VERB
cuesj-388	3	29	by	by	ADP
cuesj-388	3	30	covid-19	covid-19	PROPN
cuesj-388	3	31	.	.	PUNCT
cuesj-388	4	1	the	the	DET
cuesj-388	4	2	objective	objective	NOUN
cuesj-388	4	3	of	of	ADP
cuesj-388	4	4	this	this	DET
cuesj-388	4	5	paper	paper	NOUN
cuesj-388	4	6	presents	present	VERB
cuesj-388	4	7	a	a	DET
cuesj-388	4	8	cad	cad	NOUN
cuesj-388	4	9	method	method	NOUN
cuesj-388	4	10	for	for	ADP
cuesj-388	4	11	automatically	automatically	ADV
cuesj-388	4	12	classifying	classify	VERB
cuesj-388	4	13	110	110	NUM
cuesj-388	4	14	frontal	frontal	ADJ
cuesj-388	4	15	cxr	cxr	NOUN
cuesj-388	4	16	images	image	NOUN
cuesj-388	4	17	of	of	ADP
cuesj-388	4	18	contagious	contagious	ADJ
cuesj-388	4	19	people	people	NOUN
cuesj-388	4	20	according	accord	VERB
cuesj-388	4	21	to	to	ADP
cuesj-388	4	22	normal	normal	ADJ
cuesj-388	4	23	and	and	CCONJ
cuesj-388	4	24	covid-19	covid-19	PROPN
cuesj-388	4	25	infection	infection	NOUN
cuesj-388	4	26	.	.	PUNCT
cuesj-388	5	1	the	the	DET
cuesj-388	5	2	proposed	propose	VERB
cuesj-388	5	3	method	method	NOUN
cuesj-388	5	4	contains	contain	VERB
cuesj-388	5	5	four	four	NUM
cuesj-388	5	6	phases	phase	NOUN
cuesj-388	5	7	:	:	PUNCT
cuesj-388	5	8	image	image	NOUN
cuesj-388	5	9	enhancement	enhancement	NOUN
cuesj-388	5	10	,	,	PUNCT
cuesj-388	5	11	feature	feature	NOUN
cuesj-388	5	12	extraction	extraction	NOUN
cuesj-388	5	13	,	,	PUNCT
cuesj-388	5	14	feature	feature	NOUN
cuesj-388	5	15	selection	selection	NOUN
cuesj-388	5	16	,	,	PUNCT
cuesj-388	5	17	and	and	CCONJ
cuesj-388	5	18	classification	classification	NOUN
cuesj-388	5	19	.	.	PUNCT
cuesj-388	6	1	gaussian	gaussian	ADJ
cuesj-388	6	2	filter	filter	NOUN
cuesj-388	6	3	is	be	AUX
cuesj-388	6	4	performed	perform	VERB
cuesj-388	6	5	to	to	ADP
cuesj-388	6	6	de	de	NOUN
cuesj-388	6	7	-	-	NOUN
cuesj-388	6	8	noise	noise	VERB
cuesj-388	6	9	the	the	DET
cuesj-388	6	10	images	image	NOUN
cuesj-388	6	11	and	and	CCONJ
cuesj-388	6	12	adaptive	adaptive	ADJ
cuesj-388	6	13	histogram	histogram	NOUN
cuesj-388	6	14	equalization	equalization	NOUN
cuesj-388	6	15	for	for	ADP
cuesj-388	6	16	image	image	NOUN
cuesj-388	6	17	enhancement	enhancement	NOUN
cuesj-388	6	18	in	in	ADP
cuesj-388	6	19	the	the	DET
cuesj-388	6	20	pre	pre	ADJ
cuesj-388	6	21	-	-	ADJ
cuesj-388	6	22	processing	processing	ADJ
cuesj-388	6	23	step	step	NOUN
cuesj-388	6	24	for	for	ADP
cuesj-388	6	25	better	well	ADJ
cuesj-388	6	26	decision	decision	NOUN
cuesj-388	6	27	-	-	PUNCT
cuesj-388	6	28	making	making	NOUN
cuesj-388	6	29	.	.	PUNCT
cuesj-388	7	1	local	local	ADJ
cuesj-388	7	2	binary	binary	ADJ
cuesj-388	7	3	pattern	pattern	NOUN
cuesj-388	7	4	features	feature	NOUN
cuesj-388	7	5	set	set	VERB
cuesj-388	7	6	are	be	AUX
cuesj-388	7	7	extracted	extract	VERB
cuesj-388	7	8	from	from	ADP
cuesj-388	7	9	the	the	DET
cuesj-388	7	10	dataset	dataset	NOUN
cuesj-388	7	11	.	.	PUNCT
cuesj-388	8	1	binary	binary	ADJ
cuesj-388	8	2	particle	particle	NOUN
cuesj-388	8	3	swarm	swarm	NOUN
cuesj-388	8	4	optimization	optimization	NOUN
cuesj-388	8	5	is	be	AUX
cuesj-388	8	6	considered	consider	VERB
cuesj-388	8	7	to	to	PART
cuesj-388	8	8	select	select	VERB
cuesj-388	8	9	the	the	DET
cuesj-388	8	10	clinically	clinically	ADV
cuesj-388	8	11	relevant	relevant	ADJ
cuesj-388	8	12	features	feature	NOUN
cuesj-388	8	13	and	and	CCONJ
cuesj-388	8	14	develop	develop	VERB
cuesj-388	8	15	a	a	DET
cuesj-388	8	16	robust	robust	ADJ
cuesj-388	8	17	model	model	NOUN
cuesj-388	8	18	.	.	PUNCT
cuesj-388	9	1	the	the	DET
cuesj-388	9	2	successive	successive	ADJ
cuesj-388	9	3	features	feature	NOUN
cuesj-388	9	4	are	be	AUX
cuesj-388	9	5	fed	feed	VERB
cuesj-388	9	6	to	to	PART
cuesj-388	9	7	support	support	VERB
cuesj-388	9	8	vector	vector	NOUN
cuesj-388	9	9	machine	machine	NOUN
cuesj-388	9	10	and	and	CCONJ
cuesj-388	9	11	k	k	NOUN
cuesj-388	9	12	-	-	PUNCT
cuesj-388	9	13	nearest	near	ADJ
cuesj-388	9	14	neighbor	neighbor	NOUN
cuesj-388	9	15	classifiers	classifier	NOUN
cuesj-388	9	16	.	.	PUNCT
cuesj-388	10	1	the	the	DET
cuesj-388	10	2	experimental	experimental	ADJ
cuesj-388	10	3	results	result	NOUN
cuesj-388	10	4	show	show	VERB
cuesj-388	10	5	that	that	SCONJ
cuesj-388	10	6	the	the	DET
cuesj-388	10	7	system	system	NOUN
cuesj-388	10	8	robustness	robustness	NOUN
cuesj-388	10	9	in	in	ADP
cuesj-388	10	10	classification	classification	NOUN
cuesj-388	10	11	covid-19	covid-19	PROPN
cuesj-388	10	12	from	from	ADP
cuesj-388	10	13	normal	normal	ADJ
cuesj-388	10	14	images	image	NOUN
cuesj-388	10	15	with	with	ADP
cuesj-388	10	16	average	average	ADJ
cuesj-388	10	17	accuracy	accuracy	NOUN
cuesj-388	10	18	94.6	94.6	NUM
cuesj-388	10	19	%	%	NOUN
cuesj-388	10	20	,	,	PUNCT
cuesj-388	10	21	sensitivity	sensitivity	NOUN
cuesj-388	10	22	96.2	96.2	NUM
cuesj-388	10	23	%	%	NOUN
cuesj-388	10	24	,	,	PUNCT
cuesj-388	10	25	and	and	CCONJ
cuesj-388	10	26	specificity	specificity	NOUN
cuesj-388	10	27	93	93	NUM
cuesj-388	10	28	%	%	NOUN
cuesj-388	10	29	.	.	PUNCT
cuesj-388	11	1	keywords	keyword	NOUN
cuesj-388	11	2	:	:	PUNCT
cuesj-388	11	3	computer	computer	NOUN
cuesj-388	11	4	-	-	PUNCT
cuesj-388	11	5	aided	aid	VERB
cuesj-388	11	6	diagnosis	diagnosis	NOUN
cuesj-388	11	7	,	,	PUNCT
cuesj-388	11	8	chest	chest	NOUN
cuesj-388	11	9	-	-	PUNCT
cuesj-388	11	10	x	x	NOUN
cuesj-388	11	11	-	-	NOUN
cuesj-388	11	12	ray	ray	NOUN
cuesj-388	11	13	,	,	PUNCT
cuesj-388	11	14	coronavirus	coronavirus	NOUN
cuesj-388	11	15	disease	disease	NOUN
cuesj-388	11	16	2019	2019	NUM
cuesj-388	11	17	,	,	PUNCT
cuesj-388	11	18	local	local	ADJ
cuesj-388	11	19	binary	binary	NOUN
cuesj-388	11	20	pattern	pattern	NOUN
cuesj-388	11	21	,	,	PUNCT
cuesj-388	11	22	binary	binary	ADJ
cuesj-388	11	23	particle	particle	NOUN
cuesj-388	11	24	swarm	swarm	NOUN
cuesj-388	11	25	optimization	optimization	NOUN
cuesj-388	11	26	,	,	PUNCT
cuesj-388	11	27	classification	classification	NOUN
cuesj-388	11	28	introduction	introduction	NOUN
cuesj-388	11	29	at	at	ADP
cuesj-388	11	30	the	the	DET
cuesj-388	11	31	end	end	NOUN
cuesj-388	11	32	of	of	ADP
cuesj-388	11	33	december	december	PROPN
cuesj-388	11	34	2019	2019	NUM
cuesj-388	11	35	,	,	PUNCT
cuesj-388	11	36	a	a	DET
cuesj-388	11	37	new	new	ADJ
cuesj-388	11	38	type	type	NOUN
cuesj-388	11	39	of	of	ADP
cuesj-388	11	40	worldwide	worldwide	ADJ
cuesj-388	11	41	outbreak	outbreak	NOUN
cuesj-388	11	42	,	,	PUNCT
cuesj-388	11	43	coronavirus	coronavirus	NOUN
cuesj-388	11	44	:	:	PUNCT
cuesj-388	11	45	the	the	DET
cuesj-388	11	46	severe	severe	ADJ
cuesj-388	11	47	acute	acute	ADJ
cuesj-388	11	48	respiratory	respiratory	ADJ
cuesj-388	11	49	syndrome	syndrome	NOUN
cuesj-388	11	50	coronavirus	coronavirus	NOUN
cuesj-388	11	51	2	2	NUM
cuesj-388	11	52	(	(	PUNCT
cuesj-388	11	53	sars	sar	NOUN
cuesj-388	11	54	-	-	PUNCT
cuesj-388	11	55	cov-2	cov-2	NOUN
cuesj-388	11	56	)	)	PUNCT
cuesj-388	11	57	,	,	PUNCT
cuesj-388	11	58	is	be	AUX
cuesj-388	11	59	called	call	VERB
cuesj-388	11	60	novel	novel	ADJ
cuesj-388	11	61	coronavirus	coronavirus	NOUN
cuesj-388	11	62	(	(	PUNCT
cuesj-388	11	63	coronavirus	coronavirus	NOUN
cuesj-388	11	64	disease	disease	NOUN
cuesj-388	11	65	2019	2019	NUM
cuesj-388	12	1	[	[	X
cuesj-388	12	2	covid-19	covid-19	PROPN
cuesj-388	12	3	]	]	X
cuesj-388	12	4	)	)	PUNCT
cuesj-388	12	5	has	have	AUX
cuesj-388	12	6	been	be	AUX
cuesj-388	12	7	announced	announce	VERB
cuesj-388	12	8	in	in	ADP
cuesj-388	12	9	wuhan	wuhan	PROPN
cuesj-388	12	10	,	,	PUNCT
cuesj-388	12	11	china	china	PROPN
cuesj-388	12	12	.	.	PUNCT
cuesj-388	13	1	after	after	ADP
cuesj-388	13	2	that	that	PRON
cuesj-388	13	3	,	,	PUNCT
cuesj-388	13	4	it	it	PRON
cuesj-388	13	5	was	be	AUX
cuesj-388	13	6	declared	declare	VERB
cuesj-388	13	7	a	a	DET
cuesj-388	13	8	global	global	ADJ
cuesj-388	13	9	health	health	NOUN
cuesj-388	13	10	emergency	emergency	NOUN
cuesj-388	13	11	by	by	ADP
cuesj-388	13	12	the	the	DET
cuesj-388	13	13	centre	centre	NOUN
cuesj-388	13	14	of	of	ADP
cuesj-388	13	15	disease	disease	NOUN
cuesj-388	13	16	control	control	NOUN
cuesj-388	13	17	and	and	CCONJ
cuesj-388	13	18	prevention	prevention	NOUN
cuesj-388	13	19	(	(	PUNCT
cuesj-388	13	20	cdc	cdc	PROPN
cuesj-388	13	21	)	)	PUNCT
cuesj-388	13	22	and	and	CCONJ
cuesj-388	13	23	the	the	DET
cuesj-388	13	24	world	world	PROPN
cuesj-388	13	25	health	health	NOUN
cuesj-388	13	26	organization	organization	NOUN
cuesj-388	13	27	(	(	PUNCT
cuesj-388	13	28	who).[1	who).[1	ADP
cuesj-388	13	29	]	]	PUNCT
cuesj-388	13	30	since	since	SCONJ
cuesj-388	13	31	the	the	DET
cuesj-388	13	32	past	past	ADJ
cuesj-388	13	33	two	two	NUM
cuesj-388	13	34	decades	decade	NOUN
cuesj-388	13	35	,	,	PUNCT
cuesj-388	13	36	other	other	ADJ
cuesj-388	13	37	known	know	VERB
cuesj-388	13	38	case	case	NOUN
cuesj-388	13	39	of	of	ADP
cuesj-388	13	40	a	a	DET
cuesj-388	13	41	typical	typical	ADJ
cuesj-388	13	42	pneumonia	pneumonia	NOUN
cuesj-388	13	43	sars	sar	NOUN
cuesj-388	13	44	-	-	PUNCT
cuesj-388	13	45	cov	cov	PROPN
cuesj-388	13	46	has	have	AUX
cuesj-388	13	47	been	be	AUX
cuesj-388	13	48	discovered	discover	VERB
cuesj-388	13	49	originating	originate	VERB
cuesj-388	13	50	from	from	ADP
cuesj-388	13	51	a	a	DET
cuesj-388	13	52	healthcare	healthcare	NOUN
cuesj-388	13	53	worker	worker	NOUN
cuesj-388	13	54	in	in	ADP
cuesj-388	13	55	guangdong	guangdong	PROPN
cuesj-388	13	56	province	province	PROPN
cuesj-388	13	57	,	,	PUNCT
cuesj-388	13	58	china.[2	china.[2	PUNCT
cuesj-388	13	59	]	]	PUNCT
cuesj-388	13	60	sars	sars	PROPN
cuesj-388	13	61	-	-	PUNCT
cuesj-388	13	62	cov	cov	PROPN
cuesj-388	13	63	was	be	AUX
cuesj-388	13	64	a	a	DET
cuesj-388	13	65	relatively	relatively	ADV
cuesj-388	13	66	rare	rare	ADJ
cuesj-388	13	67	epidemic	epidemic	NOUN
cuesj-388	13	68	disease	disease	NOUN
cuesj-388	13	69	;	;	PUNCT
cuesj-388	13	70	the	the	DET
cuesj-388	13	71	incidence	incidence	NOUN
cuesj-388	13	72	killed	kill	VERB
cuesj-388	13	73	approximately	approximately	ADV
cuesj-388	13	74	800	800	NUM
cuesj-388	13	75	persons	person	NOUN
cuesj-388	13	76	among	among	ADP
cuesj-388	13	77	8437	8437	NUM
cuesj-388	13	78	infected	infected	ADJ
cuesj-388	13	79	cases	case	NOUN
cuesj-388	13	80	which	which	PRON
cuesj-388	13	81	belongs	belong	VERB
cuesj-388	13	82	to	to	ADP
cuesj-388	13	83	11	11	NUM
cuesj-388	13	84	%	%	NOUN
cuesj-388	13	85	case	case	NOUN
cuesj-388	13	86	of	of	ADP
cuesj-388	13	87	fatality	fatality	NOUN
cuesj-388	13	88	rate.[3	rate.[3	NOUN
cuesj-388	13	89	]	]	PUNCT
cuesj-388	13	90	furthermore	furthermore	ADV
cuesj-388	13	91	,	,	PUNCT
cuesj-388	13	92	9	9	NUM
cuesj-388	13	93	years	year	NOUN
cuesj-388	13	94	after	after	ADP
cuesj-388	13	95	guangdong	guangdong	PROPN
cuesj-388	13	96	’s	’s	PART
cuesj-388	13	97	plague	plague	NOUN
cuesj-388	13	98	,	,	PUNCT
cuesj-388	13	99	another	another	DET
cuesj-388	13	100	type	type	NOUN
cuesj-388	13	101	of	of	ADP
cuesj-388	13	102	this	this	DET
cuesj-388	13	103	virus	virus	NOUN
cuesj-388	13	104	is	be	AUX
cuesj-388	13	105	middle	middle	ADJ
cuesj-388	13	106	east	east	ADJ
cuesj-388	13	107	respiratory	respiratory	ADJ
cuesj-388	13	108	syndrome	syndrome	NOUN
cuesj-388	13	109	(	(	PUNCT
cuesj-388	13	110	mers	mer	NOUN
cuesj-388	13	111	)	)	PUNCT
cuesj-388	13	112	identified	identify	VERB
cuesj-388	13	113	in	in	ADP
cuesj-388	13	114	saudi	saudi	PROPN
cuesj-388	13	115	arabia	arabia	PROPN
cuesj-388	13	116	in	in	ADP
cuesj-388	13	117	2012	2012	NUM
cuesj-388	13	118	,	,	PUNCT
cuesj-388	13	119	also	also	ADV
cuesj-388	13	120	known	know	VERB
cuesj-388	13	121	as	as	ADP
cuesj-388	13	122	camel	camel	NOUN
cuesj-388	13	123	flu	flu	NOUN
cuesj-388	13	124	,	,	PUNCT
cuesj-388	13	125	because	because	SCONJ
cuesj-388	13	126	it	it	PRON
cuesj-388	13	127	is	be	AUX
cuesj-388	13	128	believed	believe	VERB
cuesj-388	13	129	this	this	DET
cuesj-388	13	130	kind	kind	NOUN
cuesj-388	13	131	originated	originate	VERB
cuesj-388	13	132	from	from	ADP
cuesj-388	13	133	the	the	DET
cuesj-388	13	134	camel	camel	NOUN
cuesj-388	13	135	then	then	ADV
cuesj-388	13	136	transported	transport	VERB
cuesj-388	13	137	to	to	ADP
cuesj-388	13	138	humans	human	NOUN
cuesj-388	13	139	by	by	ADP
cuesj-388	13	140	contacting.[4	contacting.[4	NOUN
cuesj-388	13	141	]	]	PUNCT
cuesj-388	13	142	during	during	ADP
cuesj-388	13	143	the	the	DET
cuesj-388	13	144	tests	test	NOUN
cuesj-388	13	145	,	,	PUNCT
cuesj-388	13	146	many	many	ADJ
cuesj-388	13	147	differences	difference	NOUN
cuesj-388	13	148	and	and	CCONJ
cuesj-388	13	149	similarities	similarity	NOUN
cuesj-388	13	150	in	in	ADP
cuesj-388	13	151	the	the	DET
cuesj-388	13	152	symptoms	symptom	NOUN
cuesj-388	13	153	,	,	PUNCT
cuesj-388	13	154	screening	screen	VERB
cuesj-388	13	155	features	feature	NOUN
cuesj-388	13	156	,	,	PUNCT
cuesj-388	13	157	and	and	CCONJ
cuesj-388	13	158	management	management	NOUN
cuesj-388	13	159	of	of	ADP
cuesj-388	13	160	corona	corona	NOUN
cuesj-388	13	161	disease	disease	NOUN
cuesj-388	13	162	types	type	NOUN
cuesj-388	13	163	have	have	AUX
cuesj-388	13	164	been	be	AUX
cuesj-388	13	165	identified	identify	VERB
cuesj-388	13	166	.	.	PUNCT
cuesj-388	14	1	the	the	DET
cuesj-388	14	2	rapid	rapid	ADJ
cuesj-388	14	3	rate	rate	NOUN
cuesj-388	14	4	in	in	ADP
cuesj-388	14	5	spreading	spread	VERB
cuesj-388	14	6	of	of	ADP
cuesj-388	14	7	covid-19	covid-19	PROPN
cuesj-388	14	8	is	be	AUX
cuesj-388	14	9	considered	consider	VERB
cuesj-388	14	10	one	one	NUM
cuesj-388	14	11	of	of	ADP
cuesj-388	14	12	the	the	DET
cuesj-388	14	13	main	main	ADJ
cuesj-388	14	14	diversities	diversity	NOUN
cuesj-388	14	15	of	of	ADP
cuesj-388	14	16	nowadays	nowadays	ADJ
cuesj-388	14	17	novel	novel	ADJ
cuesj-388	14	18	coronavirus.[5	coronavirus.[5	NOUN
cuesj-388	14	19	]	]	PUNCT
cuesj-388	14	20	nowadays	nowadays	ADV
cuesj-388	14	21	,	,	PUNCT
cuesj-388	14	22	many	many	ADJ
cuesj-388	14	23	radiological	radiological	ADJ
cuesj-388	14	24	images	image	NOUN
cuesj-388	14	25	are	be	AUX
cuesj-388	14	26	captured	capture	VERB
cuesj-388	14	27	in	in	ADP
cuesj-388	14	28	medical	medical	ADJ
cuesj-388	14	29	centers	center	NOUN
cuesj-388	14	30	and	and	CCONJ
cuesj-388	14	31	hospitals	hospital	NOUN
cuesj-388	14	32	.	.	PUNCT
cuesj-388	15	1	still	still	ADV
cuesj-388	15	2	,	,	PUNCT
cuesj-388	15	3	defects	defect	NOUN
cuesj-388	15	4	in	in	ADP
cuesj-388	15	5	diagnostic	diagnostic	ADJ
cuesj-388	15	6	tools	tool	NOUN
cuesj-388	15	7	are	be	AUX
cuesj-388	15	8	one	one	NUM
cuesj-388	15	9	of	of	ADP
cuesj-388	15	10	the	the	DET
cuesj-388	15	11	major	major	ADJ
cuesj-388	15	12	problems	problem	NOUN
cuesj-388	15	13	that	that	PRON
cuesj-388	15	14	all	all	DET
cuesj-388	15	15	countries	country	NOUN
cuesj-388	15	16	face	face	VERB
cuesj-388	15	17	during	during	ADP
cuesj-388	15	18	the	the	DET
cuesj-388	15	19	initial	initial	ADJ
cuesj-388	15	20	stages	stage	NOUN
cuesj-388	15	21	of	of	ADP
cuesj-388	15	22	this	this	DET
cuesj-388	15	23	pandemic	pandemic	ADJ
cuesj-388	15	24	disease	disease	NOUN
cuesj-388	15	25	.	.	PUNCT
cuesj-388	16	1	for	for	ADP
cuesj-388	16	2	these	these	DET
cuesj-388	16	3	reasons	reason	NOUN
cuesj-388	16	4	,	,	PUNCT
cuesj-388	16	5	fast	fast	ADJ
cuesj-388	16	6	,	,	PUNCT
cuesj-388	16	7	reliable	reliable	ADJ
cuesj-388	16	8	screening	screening	NOUN
cuesj-388	16	9	of	of	ADP
cuesj-388	16	10	covid-19	covid-19	PROPN
cuesj-388	16	11	is	be	AUX
cuesj-388	16	12	very	very	ADV
cuesj-388	16	13	crucial	crucial	ADJ
cuesj-388	16	14	and	and	CCONJ
cuesj-388	16	15	impressive	impressive	ADJ
cuesj-388	16	16	.	.	PUNCT
cuesj-388	17	1	besides	besides	SCONJ
cuesj-388	17	2	therapeutic	therapeutic	ADJ
cuesj-388	17	3	and	and	CCONJ
cuesj-388	17	4	clinical	clinical	ADJ
cuesj-388	17	5	guides	guide	NOUN
cuesj-388	17	6	,	,	PUNCT
cuesj-388	17	7	imaging	imaging	NOUN
cuesj-388	17	8	provides	provide	VERB
cuesj-388	17	9	extra	extra	ADJ
cuesj-388	17	10	help	help	NOUN
cuesj-388	17	11	to	to	ADP
cuesj-388	17	12	the	the	DET
cuesj-388	17	13	physicians	physician	NOUN
cuesj-388	17	14	,	,	PUNCT
cuesj-388	17	15	and	and	CCONJ
cuesj-388	17	16	it	it	PRON
cuesj-388	17	17	helps	help	VERB
cuesj-388	17	18	to	to	PART
cuesj-388	17	19	control	control	VERB
cuesj-388	17	20	the	the	DET
cuesj-388	17	21	disease	disease	NOUN
cuesj-388	17	22	from	from	ADP
cuesj-388	17	23	cross	cross	ADJ
cuesj-388	17	24	-	-	NOUN
cuesj-388	17	25	infection	infection	NOUN
cuesj-388	17	26	effectively	effectively	ADV
cuesj-388	17	27	.	.	PUNCT
cuesj-388	18	1	the	the	DET
cuesj-388	18	2	american	american	PROPN
cuesj-388	18	3	college	college	PROPN
cuesj-388	18	4	of	of	ADP
cuesj-388	18	5	radiology	radiology	NOUN
cuesj-388	18	6	suggests	suggest	VERB
cuesj-388	18	7	that	that	SCONJ
cuesj-388	18	8	chest	chest	NOUN
cuesj-388	18	9	x	x	NOUN
cuesj-388	18	10	-	-	NOUN
cuesj-388	18	11	ray	ray	NOUN
cuesj-388	18	12	(	(	PUNCT
cuesj-388	18	13	cxr	cxr	NOUN
cuesj-388	18	14	)	)	PUNCT
cuesj-388	18	15	may	may	AUX
cuesj-388	18	16	be	be	AUX
cuesj-388	18	17	advised	advise	VERB
cuesj-388	18	18	to	to	PART
cuesj-388	18	19	reduce	reduce	VERB
cuesj-388	18	20	the	the	DET
cuesj-388	18	21	risk	risk	NOUN
cuesj-388	18	22	of	of	ADP
cuesj-388	18	23	spreading.[6	spreading.[6	X
cuesj-388	18	24	]	]	PUNCT
cuesj-388	18	25	computed	compute	VERB
cuesj-388	18	26	tomography	tomography	NOUN
cuesj-388	18	27	(	(	PUNCT
cuesj-388	18	28	ct)/cxr	ct)/cxr	NOUN
cuesj-388	18	29	tool	tool	NOUN
cuesj-388	18	30	for	for	ADP
cuesj-388	18	31	imaging	imaging	NOUN
cuesj-388	18	32	is	be	AUX
cuesj-388	18	33	one	one	NUM
cuesj-388	18	34	of	of	ADP
cuesj-388	18	35	the	the	DET
cuesj-388	18	36	key	key	ADJ
cuesj-388	18	37	components	component	NOUN
cuesj-388	18	38	besides	besides	SCONJ
cuesj-388	18	39	the	the	DET
cuesj-388	18	40	corresponding	corresponding	ADJ
cuesj-388	18	41	author	author	NOUN
cuesj-388	18	42	:	:	PUNCT
cuesj-388	18	43	bazhdar	bazhdar	PROPN
cuesj-388	18	44	n.	n.	PROPN
cuesj-388	18	45	mohammed	mohammed	PROPN
cuesj-388	18	46	,	,	PUNCT
cuesj-388	18	47	department	department	PROPN
cuesj-388	18	48	of	of	ADP
cuesj-388	18	49	physics	physics	PROPN
cuesj-388	18	50	,	,	PUNCT
cuesj-388	18	51	salahaddin	salahaddin	VERB
cuesj-388	18	52	university	university	NOUN
cuesj-388	18	53	-	-	PUNCT
cuesj-388	18	54	erbil	erbil	PROPN
cuesj-388	18	55	,	,	PUNCT
cuesj-388	18	56	iraq	iraq	PROPN
cuesj-388	18	57	.	.	PUNCT
cuesj-388	19	1	e	e	X
cuesj-388	19	2	-	-	NOUN
cuesj-388	19	3	mail	mail	NOUN
cuesj-388	19	4	:	:	PUNCT
cuesj-388	19	5	bazhdar.sh.mohammed@su.edu.krd	bazhdar.sh.mohammed@su.edu.krd	NUM
cuesj-388	19	6	received	receive	VERB
cuesj-388	19	7	:	:	PUNCT
cuesj-388	19	8	may	may	AUX
cuesj-388	19	9	16	16	NUM
cuesj-388	19	10	,	,	PUNCT
cuesj-388	19	11	2021	2021	NUM
cuesj-388	19	12	accepted	accept	VERB
cuesj-388	19	13	:	:	PUNCT
cuesj-388	19	14	october	october	PROPN
cuesj-388	19	15	18	18	NUM
cuesj-388	19	16	,	,	PUNCT
cuesj-388	19	17	2021	2021	NUM
cuesj-388	19	18	published	publish	VERB
cuesj-388	19	19	:	:	PUNCT
cuesj-388	19	20	november	november	PROPN
cuesj-388	19	21	10	10	NUM
cuesj-388	19	22	,	,	PUNCT
cuesj-388	19	23	2021	2021	NUM
cuesj-388	19	24	doi	doi	NOUN
cuesj-388	19	25	:	:	PUNCT
cuesj-388	19	26	10.24086	10.24086	NUM
cuesj-388	19	27	/	/	SYM
cuesj-388	19	28	cuesj.v5n2y2021.pp46	cuesj.v5n2y2021.pp46	NUM
cuesj-388	19	29	-	-	SYM
cuesj-388	19	30	51	51	NUM
cuesj-388	19	31	copyright	copyright	NOUN
cuesj-388	19	32	©	©	PROPN
cuesj-388	19	33	2021	2021	NUM
cuesj-388	19	34	bazhdar	bazhdar	PROPN
cuesj-388	19	35	n.	n.	PROPN
cuesj-388	19	36	mohammed	mohammed	PROPN
cuesj-388	19	37	,	,	PUNCT
cuesj-388	19	38	firas	firas	PROPN
cuesj-388	19	39	h.	h.	PROPN
cuesj-388	19	40	al	al	PROPN
cuesj-388	19	41	-	-	PUNCT
cuesj-388	19	42	mukhtar	mukhtar	PROPN
cuesj-388	19	43	,	,	PUNCT
cuesj-388	19	44	raghad	raghad	PROPN
cuesj-388	19	45	z.	z.	PROPN
cuesj-388	19	46	yousif1	yousif1	PROPN
cuesj-388	19	47	,	,	PUNCT
cuesj-388	19	48	yazen	yazen	NOUN
cuesj-388	19	49	s.	s.	PROPN
cuesj-388	19	50	almashhadani	almashhadani	PROPN
cuesj-388	19	51	.	.	PUNCT
cuesj-388	20	1	this	this	PRON
cuesj-388	20	2	is	be	AUX
cuesj-388	20	3	an	an	DET
cuesj-388	20	4	open	open	ADJ
cuesj-388	20	5	-	-	PUNCT
cuesj-388	20	6	access	access	NOUN
cuesj-388	20	7	article	article	NOUN
cuesj-388	20	8	distributed	distribute	VERB
cuesj-388	20	9	under	under	ADP
cuesj-388	20	10	the	the	DET
cuesj-388	20	11	creative	creative	ADJ
cuesj-388	20	12	commons	common	NOUN
cuesj-388	20	13	attribution	attribution	NOUN
cuesj-388	20	14	license	license	NOUN
cuesj-388	20	15	(	(	PUNCT
cuesj-388	20	16	cc	cc	NOUN
cuesj-388	20	17	by	by	ADP
cuesj-388	20	18	-	-	PUNCT
cuesj-388	20	19	nc	nc	VERB
cuesj-388	20	20	-	-	PROPN
cuesj-388	20	21	nd	nd	PRON
cuesj-388	20	22	4.0	4.0	NUM
cuesj-388	20	23	)	)	PUNCT
cuesj-388	20	24	.	.	PUNCT
cuesj-388	21	1	cihan	cihan	VERB
cuesj-388	21	2	university	university	NOUN
cuesj-388	21	3	-	-	PUNCT
cuesj-388	21	4	erbil	erbil	PROPN
cuesj-388	21	5	scientific	scientific	ADJ
cuesj-388	21	6	journal	journal	NOUN
cuesj-388	21	7	(	(	PUNCT
cuesj-388	21	8	cuesj	cuesj	PROPN
cuesj-388	21	9	)	)	PUNCT
cuesj-388	21	10	mohammed	mohammed	PROPN
cuesj-388	21	11	,	,	PUNCT
cuesj-388	21	12	et	et	PROPN
cuesj-388	21	13	al	al	PROPN
cuesj-388	21	14	.	.	PUNCT
cuesj-388	21	15	:	:	PUNCT
cuesj-388	22	1	covid-19	covid-19	PROPN
cuesj-388	22	2	chest	chest	NOUN
cuesj-388	22	3	x	x	NOUN
cuesj-388	22	4	-	-	NOUN
cuesj-388	22	5	ray	ray	NOUN
cuesj-388	22	6	images	image	NOUN
cuesj-388	22	7	47	47	NUM
cuesj-388	22	8	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-388	22	9	cuesj	cuesj	NOUN
cuesj-388	22	10	2021	2021	NUM
cuesj-388	22	11	,	,	PUNCT
cuesj-388	22	12	5	5	NUM
cuesj-388	22	13	(	(	PUNCT
cuesj-388	22	14	2	2	NUM
cuesj-388	22	15	):	):	PUNCT
cuesj-388	22	16	46	46	NUM
cuesj-388	22	17	-	-	SYM
cuesj-388	22	18	51	51	NUM
cuesj-388	22	19	clinical	clinical	ADJ
cuesj-388	22	20	assessments	assessment	NOUN
cuesj-388	22	21	that	that	PRON
cuesj-388	22	22	may	may	AUX
cuesj-388	22	23	help	help	VERB
cuesj-388	22	24	early	early	ADV
cuesj-388	22	25	screening	screen	VERB
cuesj-388	22	26	suspected	suspect	VERB
cuesj-388	22	27	pneumonia	pneumonia	NOUN
cuesj-388	22	28	cases	case	NOUN
cuesj-388	22	29	.	.	PUNCT
cuesj-388	23	1	moreover	moreover	ADV
cuesj-388	23	2	,	,	PUNCT
cuesj-388	23	3	cxr	cxr	NOUN
cuesj-388	23	4	is	be	AUX
cuesj-388	23	5	a	a	DET
cuesj-388	23	6	convenient	convenient	ADJ
cuesj-388	23	7	and	and	CCONJ
cuesj-388	23	8	low	low	ADJ
cuesj-388	23	9	-	-	PUNCT
cuesj-388	23	10	cost	cost	NOUN
cuesj-388	23	11	modality	modality	NOUN
cuesj-388	23	12	for	for	ADP
cuesj-388	23	13	clinical	clinical	ADJ
cuesj-388	23	14	screening	screening	NOUN
cuesj-388	23	15	and	and	CCONJ
cuesj-388	23	16	follow	follow	VERB
cuesj-388	23	17	-	-	PUNCT
cuesj-388	23	18	up	up	ADP
cuesj-388	23	19	many	many	ADJ
cuesj-388	23	20	pulmonary	pulmonary	ADJ
cuesj-388	23	21	diseases.[7	diseases.[7	NOUN
cuesj-388	23	22	]	]	X
cuesj-388	23	23	the	the	DET
cuesj-388	23	24	images	image	NOUN
cuesj-388	23	25	of	of	ADP
cuesj-388	23	26	various	various	ADJ
cuesj-388	23	27	viral	viral	ADJ
cuesj-388	23	28	pneumonia	pneumonia	NOUN
cuesj-388	23	29	are	be	AUX
cuesj-388	23	30	similar	similar	ADJ
cuesj-388	23	31	and	and	CCONJ
cuesj-388	23	32	they	they	PRON
cuesj-388	23	33	overlap	overlap	VERB
cuesj-388	23	34	with	with	ADP
cuesj-388	23	35	other	other	ADJ
cuesj-388	23	36	infectious	infectious	ADJ
cuesj-388	23	37	during	during	ADP
cuesj-388	23	38	exposure	exposure	NOUN
cuesj-388	23	39	dose	dose	NOUN
cuesj-388	23	40	that	that	PRON
cuesj-388	23	41	makes	make	VERB
cuesj-388	23	42	a	a	DET
cuesj-388	23	43	poor	poor	ADJ
cuesj-388	23	44	contrast	contrast	NOUN
cuesj-388	23	45	.	.	PUNCT
cuesj-388	24	1	as	as	ADP
cuesj-388	24	2	a	a	DET
cuesj-388	24	3	result	result	NOUN
cuesj-388	24	4	,	,	PUNCT
cuesj-388	24	5	it	it	PRON
cuesj-388	24	6	may	may	AUX
cuesj-388	24	7	not	not	PART
cuesj-388	24	8	be	be	AUX
cuesj-388	24	9	easy	easy	ADJ
cuesj-388	24	10	for	for	SCONJ
cuesj-388	24	11	radiologists	radiologist	NOUN
cuesj-388	24	12	to	to	PART
cuesj-388	24	13	differentiate	differentiate	VERB
cuesj-388	24	14	covid-19	covid-19	PROPN
cuesj-388	24	15	from	from	ADP
cuesj-388	24	16	normal	normal	ADJ
cuesj-388	24	17	chest	chest	NOUN
cuesj-388	24	18	images	image	NOUN
cuesj-388	24	19	in	in	ADP
cuesj-388	24	20	some	some	DET
cuesj-388	24	21	screening	screening	NOUN
cuesj-388	24	22	cases	case	NOUN
cuesj-388	24	23	that	that	PRON
cuesj-388	24	24	may	may	AUX
cuesj-388	24	25	lead	lead	VERB
cuesj-388	24	26	to	to	PART
cuesj-388	24	27	make	make	VERB
cuesj-388	24	28	a	a	DET
cuesj-388	24	29	wrong	wrong	ADJ
cuesj-388	24	30	decision	decision	NOUN
cuesj-388	24	31	about	about	ADP
cuesj-388	24	32	the	the	DET
cuesj-388	24	33	patient	patient	NOUN
cuesj-388	24	34	’s	’s	PART
cuesj-388	24	35	situation.[8	situation.[8	NOUN
cuesj-388	24	36	]	]	PUNCT
cuesj-388	24	37	throughout	throughout	ADP
cuesj-388	24	38	this	this	DET
cuesj-388	24	39	pandemic	pandemic	ADJ
cuesj-388	24	40	,	,	PUNCT
cuesj-388	24	41	many	many	ADJ
cuesj-388	24	42	groups	group	NOUN
cuesj-388	24	43	and	and	CCONJ
cuesj-388	24	44	researchers	researcher	NOUN
cuesj-388	24	45	have	have	AUX
cuesj-388	24	46	reported	report	VERB
cuesj-388	24	47	different	different	ADJ
cuesj-388	24	48	systems	system	NOUN
cuesj-388	24	49	of	of	ADP
cuesj-388	24	50	covid-19	covid-19	PROPN
cuesj-388	24	51	pneumonia	pneumonia	NOUN
cuesj-388	24	52	detection	detection	NOUN
cuesj-388	24	53	by	by	ADP
cuesj-388	24	54	using	use	VERB
cuesj-388	24	55	computed	compute	VERB
cuesj-388	24	56	aided	aid	VERB
cuesj-388	24	57	diagnosis	diagnosis	NOUN
cuesj-388	24	58	(	(	PUNCT
cuesj-388	24	59	cad	cad	NOUN
cuesj-388	24	60	)	)	PUNCT
cuesj-388	24	61	.	.	PUNCT
cuesj-388	25	1	the	the	DET
cuesj-388	25	2	cad	cad	PROPN
cuesj-388	25	3	consists	consist	VERB
cuesj-388	25	4	of	of	ADP
cuesj-388	25	5	pre	pre	ADJ
cuesj-388	25	6	-	-	ADJ
cuesj-388	25	7	processing	processing	ADJ
cuesj-388	25	8	,	,	PUNCT
cuesj-388	25	9	features	feature	VERB
cuesj-388	25	10	extraction	extraction	NOUN
cuesj-388	25	11	and	and	CCONJ
cuesj-388	25	12	selection	selection	NOUN
cuesj-388	25	13	,	,	PUNCT
cuesj-388	25	14	classification	classification	NOUN
cuesj-388	25	15	,	,	PUNCT
cuesj-388	25	16	and	and	CCONJ
cuesj-388	25	17	post	post	ADJ
cuesj-388	25	18	-	-	ADJ
cuesj-388	25	19	processing	processing	ADJ
cuesj-388	25	20	techniques	technique	NOUN
cuesj-388	25	21	.	.	PUNCT
cuesj-388	26	1	the	the	DET
cuesj-388	26	2	main	main	ADJ
cuesj-388	26	3	purpose	purpose	NOUN
cuesj-388	26	4	of	of	ADP
cuesj-388	26	5	this	this	DET
cuesj-388	26	6	work	work	NOUN
cuesj-388	26	7	-	-	PUNCT
cuesj-388	26	8	study	study	NOUN
cuesj-388	26	9	is	be	AUX
cuesj-388	26	10	to	to	PART
cuesj-388	26	11	develop	develop	VERB
cuesj-388	26	12	a	a	DET
cuesj-388	26	13	cad	cad	NOUN
cuesj-388	26	14	program	program	NOUN
cuesj-388	26	15	for	for	ADP
cuesj-388	26	16	screening	screen	VERB
cuesj-388	26	17	and	and	CCONJ
cuesj-388	26	18	classifying	classify	VERB
cuesj-388	26	19	ct	ct	PROPN
cuesj-388	26	20	/	/	SYM
cuesj-388	26	21	cxr	cxr	NOUN
cuesj-388	26	22	images	image	NOUN
cuesj-388	26	23	according	accord	VERB
cuesj-388	26	24	to	to	ADP
cuesj-388	26	25	normal	normal	ADJ
cuesj-388	26	26	and	and	CCONJ
cuesj-388	26	27	covid-19	covid-19	PROPN
cuesj-388	26	28	on	on	ADP
cuesj-388	26	29	a	a	DET
cuesj-388	26	30	small	small	ADJ
cuesj-388	26	31	data	datum	NOUN
cuesj-388	26	32	set	set	VERB
cuesj-388	26	33	that	that	PRON
cuesj-388	26	34	will	will	AUX
cuesj-388	26	35	be	be	AUX
cuesj-388	26	36	useful	useful	ADJ
cuesj-388	26	37	in	in	ADP
cuesj-388	26	38	decreasing	decrease	VERB
cuesj-388	26	39	the	the	DET
cuesj-388	26	40	workload	workload	NOUN
cuesj-388	26	41	of	of	ADP
cuesj-388	26	42	healthcare	healthcare	NOUN
cuesj-388	26	43	personnel	personnel	NOUN
cuesj-388	26	44	.	.	PUNCT
cuesj-388	27	1	the	the	DET
cuesj-388	27	2	contributions	contribution	NOUN
cuesj-388	27	3	provided	provide	VERB
cuesj-388	27	4	to	to	ADP
cuesj-388	27	5	this	this	DET
cuesj-388	27	6	study	study	NOUN
cuesj-388	27	7	is	be	AUX
cuesj-388	27	8	(	(	PUNCT
cuesj-388	27	9	1	1	NUM
cuesj-388	27	10	)	)	PUNCT
cuesj-388	27	11	implementation	implementation	NOUN
cuesj-388	27	12	diagnosis	diagnosis	NOUN
cuesj-388	27	13	system	system	NOUN
cuesj-388	27	14	for	for	ADP
cuesj-388	27	15	enhancement	enhancement	NOUN
cuesj-388	27	16	the	the	DET
cuesj-388	27	17	images	image	NOUN
cuesj-388	27	18	using	use	VERB
cuesj-388	27	19	gaussian	gaussian	ADJ
cuesj-388	27	20	filter	filter	NOUN
cuesj-388	27	21	,	,	PUNCT
cuesj-388	27	22	(	(	PUNCT
cuesj-388	27	23	2	2	X
cuesj-388	27	24	)	)	PUNCT
cuesj-388	27	25	the	the	DET
cuesj-388	27	26	usage	usage	NOUN
cuesj-388	27	27	of	of	ADP
cuesj-388	27	28	local	local	ADJ
cuesj-388	27	29	binary	binary	ADJ
cuesj-388	27	30	pattern	pattern	NOUN
cuesj-388	27	31	(	(	PUNCT
cuesj-388	27	32	lbp	lbp	NOUN
cuesj-388	27	33	)	)	PUNCT
cuesj-388	27	34	to	to	PART
cuesj-388	27	35	extract	extract	VERB
cuesj-388	27	36	the	the	DET
cuesj-388	27	37	texture	texture	NOUN
cuesj-388	27	38	features	feature	NOUN
cuesj-388	27	39	from	from	ADP
cuesj-388	27	40	the	the	DET
cuesj-388	27	41	images	image	NOUN
cuesj-388	27	42	,	,	PUNCT
cuesj-388	27	43	and	and	CCONJ
cuesj-388	27	44	(	(	PUNCT
cuesj-388	27	45	3	3	X
cuesj-388	27	46	)	)	PUNCT
cuesj-388	27	47	performing	perform	VERB
cuesj-388	27	48	the	the	DET
cuesj-388	27	49	classification	classification	NOUN
cuesj-388	27	50	technique	technique	NOUN
cuesj-388	27	51	using	use	VERB
cuesj-388	27	52	k	k	PROPN
cuesj-388	27	53	-	-	PUNCT
cuesj-388	27	54	nearest	near	ADJ
cuesj-388	27	55	neighbor	neighbor	NOUN
cuesj-388	27	56	(	(	PUNCT
cuesj-388	27	57	knn	knn	PROPN
cuesj-388	27	58	)	)	PUNCT
cuesj-388	27	59	and	and	CCONJ
cuesj-388	27	60	support	support	VERB
cuesj-388	27	61	vector	vector	NOUN
cuesj-388	27	62	machine	machine	NOUN
cuesj-388	27	63	(	(	PUNCT
cuesj-388	27	64	svm	svm	ADJ
cuesj-388	27	65	)	)	PUNCT
cuesj-388	27	66	classifier	classifier	NOUN
cuesj-388	27	67	for	for	ADP
cuesj-388	27	68	obtaining	obtain	VERB
cuesj-388	27	69	suitable	suitable	ADJ
cuesj-388	27	70	accuracy	accuracy	NOUN
cuesj-388	27	71	,	,	PUNCT
cuesj-388	27	72	sensitivity	sensitivity	NOUN
cuesj-388	27	73	,	,	PUNCT
cuesj-388	27	74	specificity	specificity	NOUN
cuesj-388	27	75	,	,	PUNCT
cuesj-388	27	76	and	and	CCONJ
cuesj-388	27	77	precision	precision	NOUN
cuesj-388	27	78	.	.	PUNCT
cuesj-388	28	1	during	during	ADP
cuesj-388	28	2	the	the	DET
cuesj-388	28	3	spreading	spreading	NOUN
cuesj-388	28	4	of	of	ADP
cuesj-388	28	5	covid-19	covid-19	PROPN
cuesj-388	28	6	as	as	ADP
cuesj-388	28	7	a	a	DET
cuesj-388	28	8	pandemic	pandemic	ADJ
cuesj-388	28	9	disease	disease	NOUN
cuesj-388	28	10	till	till	SCONJ
cuesj-388	28	11	now	now	ADV
cuesj-388	28	12	,	,	PUNCT
cuesj-388	28	13	researchers	researcher	NOUN
cuesj-388	28	14	have	have	AUX
cuesj-388	28	15	tried	try	VERB
cuesj-388	28	16	to	to	PART
cuesj-388	28	17	use	use	VERB
cuesj-388	28	18	different	different	ADJ
cuesj-388	28	19	machine	machine	NOUN
cuesj-388	28	20	learning	learn	VERB
cuesj-388	28	21	techniques	technique	NOUN
cuesj-388	28	22	to	to	PART
cuesj-388	28	23	classify	classify	VERB
cuesj-388	28	24	the	the	DET
cuesj-388	28	25	patient	patient	NOUN
cuesj-388	28	26	’s	’s	PART
cuesj-388	28	27	diagnostic	diagnostic	ADJ
cuesj-388	28	28	tests	test	NOUN
cuesj-388	28	29	based	base	VERB
cuesj-388	28	30	on	on	ADP
cuesj-388	28	31	radiological	radiological	ADJ
cuesj-388	28	32	images	image	NOUN
cuesj-388	28	33	that	that	PRON
cuesj-388	28	34	assist	assist	VERB
cuesj-388	28	35	the	the	DET
cuesj-388	28	36	doctors	doctor	NOUN
cuesj-388	28	37	for	for	ADP
cuesj-388	28	38	accurate	accurate	ADJ
cuesj-388	28	39	clinical	clinical	ADJ
cuesj-388	28	40	decision	decision	NOUN
cuesj-388	28	41	which	which	PRON
cuesj-388	28	42	reduced	reduce	VERB
cuesj-388	28	43	the	the	DET
cuesj-388	28	44	number	number	NOUN
cuesj-388	28	45	of	of	ADP
cuesj-388	28	46	deaths	death	NOUN
cuesj-388	28	47	.	.	PUNCT
cuesj-388	29	1	abbas	abbas	PROPN
cuesj-388	29	2	et	et	PROPN
cuesj-388	29	3	al	al	PROPN
cuesj-388	29	4	.	.	PROPN
cuesj-388	29	5	suggested	suggest	VERB
cuesj-388	29	6	a	a	DET
cuesj-388	29	7	method	method	NOUN
cuesj-388	29	8	for	for	ADP
cuesj-388	29	9	classifying	classify	VERB
cuesj-388	29	10	covid-19	covid-19	PROPN
cuesj-388	29	11	images	image	NOUN
cuesj-388	29	12	in	in	ADP
cuesj-388	29	13	xrd	xrd	NOUN
cuesj-388	29	14	diagnostic	diagnostic	ADJ
cuesj-388	29	15	images	image	NOUN
cuesj-388	29	16	by	by	ADP
cuesj-388	29	17	performing	perform	VERB
cuesj-388	29	18	a	a	DET
cuesj-388	29	19	transfer	transfer	NOUN
cuesj-388	29	20	algorithm	algorithm	NOUN
cuesj-388	29	21	.	.	PUNCT
cuesj-388	30	1	the	the	DET
cuesj-388	30	2	feature	feature	NOUN
cuesj-388	30	3	vector	vector	NOUN
cuesj-388	30	4	of	of	ADP
cuesj-388	30	5	datasets	dataset	NOUN
cuesj-388	30	6	is	be	AUX
cuesj-388	30	7	classified	classify	VERB
cuesj-388	30	8	based	base	VERB
cuesj-388	30	9	on	on	ADP
cuesj-388	30	10	convolution	convolution	NOUN
cuesj-388	30	11	neural	neural	ADJ
cuesj-388	30	12	network	network	NOUN
cuesj-388	30	13	(	(	PUNCT
cuesj-388	30	14	cnn	cnn	PROPN
cuesj-388	30	15	)	)	PUNCT
cuesj-388	30	16	technique.[9	technique.[9	ADP
cuesj-388	30	17	]	]	PUNCT
cuesj-388	30	18	another	another	DET
cuesj-388	30	19	intelligence	intelligence	NOUN
cuesj-388	30	20	system	system	NOUN
cuesj-388	30	21	was	be	AUX
cuesj-388	30	22	proposed	propose	VERB
cuesj-388	30	23	by	by	ADP
cuesj-388	30	24	purohit	purohit	PROPN
cuesj-388	30	25	et	et	PROPN
cuesj-388	30	26	al.[10	al.[10	PROPN
cuesj-388	30	27	]	]	PUNCT
cuesj-388	30	28	to	to	PART
cuesj-388	30	29	separate	separate	VERB
cuesj-388	30	30	covid-19	covid-19	PROPN
cuesj-388	30	31	infected	infect	VERB
cuesj-388	30	32	x	x	NOUN
cuesj-388	30	33	-	-	NOUN
cuesj-388	30	34	ray	ray	NOUN
cuesj-388	30	35	and	and	CCONJ
cuesj-388	30	36	ct	ct	NOUN
cuesj-388	30	37	scan	scan	ADJ
cuesj-388	30	38	images	image	NOUN
cuesj-388	30	39	of	of	ADP
cuesj-388	30	40	chest	chest	NOUN
cuesj-388	30	41	based	base	VERB
cuesj-388	30	42	on	on	ADP
cuesj-388	30	43	k	k	ADJ
cuesj-388	30	44	-	-	ADJ
cuesj-388	30	45	mean	mean	ADJ
cuesj-388	30	46	clustering	clustering	NOUN
cuesj-388	30	47	as	as	ADP
cuesj-388	30	48	an	an	DET
cuesj-388	30	49	unsupervised	unsupervised	ADJ
cuesj-388	30	50	method	method	NOUN
cuesj-388	30	51	for	for	ADP
cuesj-388	30	52	feature	feature	NOUN
cuesj-388	30	53	extraction	extraction	NOUN
cuesj-388	30	54	;	;	PUNCT
cuesj-388	30	55	then	then	ADV
cuesj-388	30	56	the	the	DET
cuesj-388	30	57	images	image	NOUN
cuesj-388	30	58	are	be	AUX
cuesj-388	30	59	classified	classify	VERB
cuesj-388	30	60	by	by	ADP
cuesj-388	30	61	cnn	cnn	PROPN
cuesj-388	30	62	machine	machine	NOUN
cuesj-388	30	63	learning	learning	NOUN
cuesj-388	30	64	technique	technique	NOUN
cuesj-388	30	65	.	.	PUNCT
cuesj-388	31	1	to	to	PART
cuesj-388	31	2	identify	identify	VERB
cuesj-388	31	3	covid-19	covid-19	PROPN
cuesj-388	31	4	cases	case	NOUN
cuesj-388	31	5	from	from	ADP
cuesj-388	31	6	normal	normal	ADJ
cuesj-388	31	7	images	image	NOUN
cuesj-388	31	8	narin	narin	ADJ
cuesj-388	31	9	et	et	NOUN
cuesj-388	31	10	al.[11	al.[11	NOUN
cuesj-388	31	11	]	]	PUNCT
cuesj-388	31	12	proposed	propose	VERB
cuesj-388	31	13	a	a	DET
cuesj-388	31	14	method	method	NOUN
cuesj-388	31	15	deep	deep	ADJ
cuesj-388	31	16	cnn	cnn	PROPN
cuesj-388	31	17	.	.	PUNCT
cuesj-388	32	1	for	for	ADP
cuesj-388	32	2	this	this	DET
cuesj-388	32	3	purpose	purpose	NOUN
cuesj-388	32	4	,	,	PUNCT
cuesj-388	32	5	the	the	DET
cuesj-388	32	6	dataset	dataset	NOUN
cuesj-388	32	7	was	be	AUX
cuesj-388	32	8	divided	divide	VERB
cuesj-388	32	9	into	into	ADP
cuesj-388	32	10	two	two	NUM
cuesj-388	32	11	parts	part	NOUN
cuesj-388	32	12	:	:	PUNCT
cuesj-388	32	13	80	80	NUM
cuesj-388	32	14	%	%	NOUN
cuesj-388	32	15	for	for	ADP
cuesj-388	32	16	the	the	DET
cuesj-388	32	17	training	training	NOUN
cuesj-388	32	18	phase	phase	NOUN
cuesj-388	32	19	and	and	CCONJ
cuesj-388	32	20	20	20	NUM
cuesj-388	32	21	%	%	NOUN
cuesj-388	32	22	for	for	ADP
cuesj-388	32	23	the	the	DET
cuesj-388	32	24	testing	testing	NOUN
cuesj-388	32	25	phase	phase	NOUN
cuesj-388	32	26	based	base	VERB
cuesj-388	32	27	on	on	ADP
cuesj-388	32	28	5	5	NUM
cuesj-388	32	29	-	-	ADJ
cuesj-388	32	30	fold	fold	ADJ
cuesj-388	32	31	cross	cross	NOUN
cuesj-388	32	32	validation	validation	NOUN
cuesj-388	32	33	.	.	PUNCT
cuesj-388	33	1	in	in	ADP
cuesj-388	33	2	elasnaoui	elasnaoui	ADJ
cuesj-388	33	3	et	et	NOUN
cuesj-388	33	4	al.[12	al.[12	PROPN
cuesj-388	33	5	]	]	PUNCT
cuesj-388	33	6	the	the	DET
cuesj-388	33	7	authors	author	NOUN
cuesj-388	33	8	presented	present	VERB
cuesj-388	33	9	a	a	DET
cuesj-388	33	10	deep	deep	ADJ
cuesj-388	33	11	learning	learning	NOUN
cuesj-388	33	12	model	model	NOUN
cuesj-388	33	13	that	that	PRON
cuesj-388	33	14	allowed	allow	VERB
cuesj-388	33	15	to	to	PART
cuesj-388	33	16	detect	detect	VERB
cuesj-388	33	17	covid-19	covid-19	PROPN
cuesj-388	33	18	from	from	ADP
cuesj-388	33	19	healthy	healthy	ADJ
cuesj-388	33	20	people	people	NOUN
cuesj-388	33	21	using	use	VERB
cuesj-388	33	22	cxr	cxr	NOUN
cuesj-388	33	23	images	image	NOUN
cuesj-388	33	24	using	use	VERB
cuesj-388	33	25	recent	recent	ADJ
cuesj-388	33	26	deep	deep	ADJ
cuesj-388	33	27	learning	learning	NOUN
cuesj-388	33	28	methods	method	NOUN
cuesj-388	33	29	.	.	PUNCT
cuesj-388	34	1	method	method	NOUN
cuesj-388	34	2	and	and	CCONJ
cuesj-388	34	3	materials	material	NOUN
cuesj-388	34	4	the	the	DET
cuesj-388	34	5	proposed	propose	VERB
cuesj-388	34	6	methodology	methodology	NOUN
cuesj-388	34	7	for	for	ADP
cuesj-388	34	8	the	the	DET
cuesj-388	34	9	covid_19	covid_19	PROPN
cuesj-388	34	10	cxr	cxr	NOUN
cuesj-388	34	11	image	image	NOUN
cuesj-388	34	12	diagnosis	diagnosis	NOUN
cuesj-388	34	13	system	system	NOUN
cuesj-388	34	14	passes	pass	VERB
cuesj-388	34	15	through	through	ADP
cuesj-388	34	16	the	the	DET
cuesj-388	34	17	fundamental	fundamental	ADJ
cuesj-388	34	18	steps	step	NOUN
cuesj-388	34	19	in	in	ADP
cuesj-388	34	20	machine	machine	NOUN
cuesj-388	34	21	learning	learn	VERB
cuesj-388	34	22	data	data	PROPN
cuesj-388	34	23	acquisition	acquisition	NOUN
cuesj-388	34	24	,	,	PUNCT
cuesj-388	34	25	image	image	NOUN
cuesj-388	34	26	pre	pre	ADJ
cuesj-388	34	27	-	-	ADJ
cuesj-388	34	28	processing	processing	ADJ
cuesj-388	34	29	,	,	PUNCT
cuesj-388	34	30	feature	feature	NOUN
cuesj-388	34	31	extraction	extraction	NOUN
cuesj-388	34	32	,	,	PUNCT
cuesj-388	34	33	feature	feature	NOUN
cuesj-388	34	34	selection	selection	NOUN
cuesj-388	34	35	,	,	PUNCT
cuesj-388	34	36	and	and	CCONJ
cuesj-388	34	37	classification	classification	NOUN
cuesj-388	34	38	steps	step	NOUN
cuesj-388	34	39	.	.	PUNCT
cuesj-388	35	1	the	the	DET
cuesj-388	35	2	proposed	propose	VERB
cuesj-388	35	3	method	method	NOUN
cuesj-388	35	4	is	be	AUX
cuesj-388	35	5	shown	show	VERB
cuesj-388	35	6	in	in	ADP
cuesj-388	35	7	figure	figure	NOUN
cuesj-388	35	8	1	1	NUM
cuesj-388	35	9	.	.	PUNCT
cuesj-388	35	10	data	datum	NOUN
cuesj-388	35	11	acquisition	acquisition	PROPN
cuesj-388	35	12	data	datum	NOUN
cuesj-388	35	13	acquisition	acquisition	NOUN
cuesj-388	35	14	was	be	AUX
cuesj-388	35	15	retrieved	retrieve	VERB
cuesj-388	35	16	from	from	ADP
cuesj-388	35	17	an	an	DET
cuesj-388	35	18	open	open	ADJ
cuesj-388	35	19	dataset	dataset	NOUN
cuesj-388	35	20	of	of	ADP
cuesj-388	35	21	covid-19	covid-19	PROPN
cuesj-388	35	22	cases	case	NOUN
cuesj-388	35	23	with	with	ADP
cuesj-388	35	24	ct	ct	PROPN
cuesj-388	35	25	/	/	SYM
cuesj-388	35	26	cxr	cxr	NOUN
cuesj-388	35	27	.	.	PUNCT
cuesj-388	36	1	the	the	DET
cuesj-388	36	2	database	database	NOUN
cuesj-388	36	3	is	be	AUX
cuesj-388	36	4	already	already	ADV
cuesj-388	36	5	publicly	publicly	ADV
cuesj-388	36	6	available	available	ADJ
cuesj-388	36	7	in	in	ADP
cuesj-388	36	8	github	github	PROPN
cuesj-388	36	9	and	and	CCONJ
cuesj-388	36	10	it	it	PRON
cuesj-388	36	11	includes	include	VERB
cuesj-388	36	12	complete	complete	ADJ
cuesj-388	36	13	mailing	mailing	NOUN
cuesj-388	36	14	addresses	address	NOUN
cuesj-388	36	15	,	,	PUNCT
cuesj-388	36	16	telephone	telephone	NOUN
cuesj-388	36	17	numbers	number	NOUN
cuesj-388	36	18	,	,	PUNCT
cuesj-388	36	19	and	and	CCONJ
cuesj-388	36	20	e	e	NOUN
cuesj-388	36	21	-	-	NOUN
cuesj-388	36	22	mail	mail	NOUN
cuesj-388	36	23	addresses	address	NOUN
cuesj-388	36	24	.	.	PUNCT
cuesj-388	37	1	this	this	DET
cuesj-388	37	2	document	document	NOUN
cuesj-388	37	3	represents	represent	VERB
cuesj-388	37	4	the	the	DET
cuesj-388	37	5	stage	stage	NOUN
cuesj-388	37	6	-	-	PUNCT
cuesj-388	37	7	two	two	NUM
cuesj-388	37	8	template.[8	template.[8	NUM
cuesj-388	37	9	]	]	X
cuesj-388	37	10	this	this	DET
cuesj-388	37	11	collaborative	collaborative	ADJ
cuesj-388	37	12	open	open	ADJ
cuesj-388	37	13	data	datum	NOUN
cuesj-388	37	14	source	source	NOUN
cuesj-388	37	15	allows	allow	VERB
cuesj-388	37	16	radiologists	radiologist	NOUN
cuesj-388	37	17	and	and	CCONJ
cuesj-388	37	18	researchers	researcher	NOUN
cuesj-388	37	19	to	to	PART
cuesj-388	37	20	develop	develop	VERB
cuesj-388	37	21	a	a	DET
cuesj-388	37	22	machine	machine	NOUN
cuesj-388	37	23	learning	learn	VERB
cuesj-388	37	24	model	model	NOUN
cuesj-388	37	25	for	for	ADP
cuesj-388	37	26	covid-19	covid-19	PROPN
cuesj-388	37	27	.	.	PUNCT
cuesj-388	38	1	for	for	ADP
cuesj-388	38	2	this	this	DET
cuesj-388	38	3	work	work	NOUN
cuesj-388	38	4	,	,	PUNCT
cuesj-388	38	5	110	110	NUM
cuesj-388	38	6	digital	digital	ADJ
cuesj-388	38	7	radiographic	radiographic	ADJ
cuesj-388	38	8	images	image	NOUN
cuesj-388	38	9	were	be	AUX
cuesj-388	38	10	used	use	VERB
cuesj-388	38	11	and	and	CCONJ
cuesj-388	38	12	equally	equally	ADV
cuesj-388	38	13	distributed	distribute	VERB
cuesj-388	38	14	on	on	ADP
cuesj-388	38	15	normal	normal	ADJ
cuesj-388	38	16	and	and	CCONJ
cuesj-388	38	17	covid-19	covid-19	PROPN
cuesj-388	38	18	cases	case	NOUN
cuesj-388	38	19	.	.	PUNCT
cuesj-388	39	1	pre	pre	ADJ
cuesj-388	39	2	-	-	ADJ
cuesj-388	39	3	processing	processing	NOUN
cuesj-388	39	4	in	in	ADP
cuesj-388	39	5	the	the	DET
cuesj-388	39	6	pre	pre	ADJ
cuesj-388	39	7	-	-	ADJ
cuesj-388	39	8	processing	processing	ADJ
cuesj-388	39	9	step	step	NOUN
cuesj-388	39	10	,	,	PUNCT
cuesj-388	39	11	the	the	DET
cuesj-388	39	12	data	datum	NOUN
cuesj-388	39	13	were	be	AUX
cuesj-388	39	14	prepared	prepare	VERB
cuesj-388	39	15	to	to	PART
cuesj-388	39	16	maximize	maximize	VERB
cuesj-388	39	17	the	the	DET
cuesj-388	39	18	diversity	diversity	NOUN
cuesj-388	39	19	between	between	ADP
cuesj-388	39	20	the	the	DET
cuesj-388	39	21	intensity	intensity	NOUN
cuesj-388	39	22	of	of	ADP
cuesj-388	39	23	pixels	pixel	NOUN
cuesj-388	39	24	and	and	CCONJ
cuesj-388	39	25	improve	improve	VERB
cuesj-388	39	26	the	the	DET
cuesj-388	39	27	accuracy	accuracy	NOUN
cuesj-388	39	28	of	of	ADP
cuesj-388	39	29	classification	classification	NOUN
cuesj-388	39	30	results.[13	results.[13	NOUN
cuesj-388	39	31	]	]	PUNCT
cuesj-388	39	32	here	here	ADV
cuesj-388	39	33	,	,	PUNCT
cuesj-388	39	34	at	at	ADP
cuesj-388	39	35	first	first	ADV
cuesj-388	39	36	,	,	PUNCT
cuesj-388	39	37	the	the	DET
cuesj-388	39	38	images	image	NOUN
cuesj-388	39	39	were	be	AUX
cuesj-388	39	40	resized	resize	VERB
cuesj-388	39	41	to	to	ADP
cuesj-388	39	42	(	(	PUNCT
cuesj-388	39	43	576	576	NUM
cuesj-388	39	44	×	×	NOUN
cuesj-388	39	45	576	576	NUM
cuesj-388	39	46	)	)	PUNCT
cuesj-388	39	47	to	to	PART
cuesj-388	39	48	reduce	reduce	VERB
cuesj-388	39	49	the	the	DET
cuesj-388	39	50	processing	processing	NOUN
cuesj-388	39	51	time	time	NOUN
cuesj-388	39	52	and	and	CCONJ
cuesj-388	39	53	a	a	DET
cuesj-388	39	54	gaussian	gaussian	ADJ
cuesj-388	39	55	filter	filter	NOUN
cuesj-388	39	56	was	be	AUX
cuesj-388	39	57	performed	perform	VERB
cuesj-388	39	58	to	to	PART
cuesj-388	39	59	minimize	minimize	VERB
cuesj-388	39	60	the	the	DET
cuesj-388	39	61	noise	noise	NOUN
cuesj-388	39	62	;	;	PUNCT
cuesj-388	39	63	then	then	ADV
cuesj-388	39	64	,	,	PUNCT
cuesj-388	39	65	adaptive	adaptive	ADJ
cuesj-388	39	66	histogram	histogram	NOUN
cuesj-388	39	67	equalization	equalization	NOUN
cuesj-388	39	68	was	be	AUX
cuesj-388	39	69	applied	apply	VERB
cuesj-388	39	70	to	to	PART
cuesj-388	39	71	increase	increase	VERB
cuesj-388	39	72	the	the	DET
cuesj-388	39	73	contrast	contrast	NOUN
cuesj-388	39	74	and	and	CCONJ
cuesj-388	39	75	image	image	NOUN
cuesj-388	39	76	qualification	qualification	NOUN
cuesj-388	39	77	improvement	improvement	NOUN
cuesj-388	39	78	.	.	PUNCT
cuesj-388	40	1	feature	feature	NOUN
cuesj-388	40	2	extraction	extraction	NOUN
cuesj-388	40	3	feature	feature	NOUN
cuesj-388	40	4	extraction	extraction	NOUN
cuesj-388	40	5	plays	play	VERB
cuesj-388	40	6	an	an	DET
cuesj-388	40	7	essential	essential	ADJ
cuesj-388	40	8	role	role	NOUN
cuesj-388	40	9	in	in	ADP
cuesj-388	40	10	any	any	DET
cuesj-388	40	11	classification	classification	NOUN
cuesj-388	40	12	task	task	NOUN
cuesj-388	40	13	.	.	PUNCT
cuesj-388	41	1	medical	medical	ADJ
cuesj-388	41	2	images	image	NOUN
cuesj-388	41	3	of	of	ADP
cuesj-388	41	4	different	different	ADJ
cuesj-388	41	5	categories	category	NOUN
cuesj-388	41	6	usually	usually	ADV
cuesj-388	41	7	appeared	appear	VERB
cuesj-388	41	8	by	by	ADP
cuesj-388	41	9	three	three	NUM
cuesj-388	41	10	matrices	matrix	NOUN
cuesj-388	41	11	:	:	PUNCT
cuesj-388	41	12	object	object	NOUN
cuesj-388	41	13	,	,	PUNCT
cuesj-388	41	14	edge	edge	NOUN
cuesj-388	41	15	,	,	PUNCT
cuesj-388	41	16	and	and	CCONJ
cuesj-388	41	17	background	background	NOUN
cuesj-388	41	18	,	,	PUNCT
cuesj-388	41	19	which	which	PRON
cuesj-388	41	20	can	can	AUX
cuesj-388	41	21	be	be	AUX
cuesj-388	41	22	distinguished	distinguish	VERB
cuesj-388	41	23	with	with	ADP
cuesj-388	41	24	their	their	PRON
cuesj-388	41	25	feature	feature	NOUN
cuesj-388	41	26	characteristics.[14	characteristics.[14	NOUN
cuesj-388	41	27	]	]	PUNCT
cuesj-388	41	28	if	if	SCONJ
cuesj-388	41	29	the	the	DET
cuesj-388	41	30	features	feature	NOUN
cuesj-388	41	31	are	be	AUX
cuesj-388	41	32	precisely	precisely	ADV
cuesj-388	41	33	selected	select	VERB
cuesj-388	41	34	,	,	PUNCT
cuesj-388	41	35	the	the	DET
cuesj-388	41	36	classification	classification	NOUN
cuesj-388	41	37	result	result	NOUN
cuesj-388	41	38	will	will	AUX
cuesj-388	41	39	provide	provide	VERB
cuesj-388	41	40	helpful	helpful	ADJ
cuesj-388	41	41	information	information	NOUN
cuesj-388	41	42	and	and	CCONJ
cuesj-388	41	43	pattern	pattern	NOUN
cuesj-388	41	44	to	to	PART
cuesj-388	41	45	distinguish	distinguish	VERB
cuesj-388	41	46	between	between	ADP
cuesj-388	41	47	the	the	DET
cuesj-388	41	48	normal	normal	ADJ
cuesj-388	41	49	and	and	CCONJ
cuesj-388	41	50	covid-19	covid-19	PROPN
cuesj-388	41	51	images	image	NOUN
cuesj-388	41	52	.	.	PUNCT
cuesj-388	42	1	lbp	lbp	PROPN
cuesj-388	42	2	is	be	AUX
cuesj-388	42	3	an	an	DET
cuesj-388	42	4	effective	effective	ADJ
cuesj-388	42	5	set	set	NOUN
cuesj-388	42	6	of	of	ADP
cuesj-388	42	7	texture	texture	ADJ
cuesj-388	42	8	descriptor	descriptor	NOUN
cuesj-388	42	9	that	that	PRON
cuesj-388	42	10	thresholds	threshold	VERB
cuesj-388	42	11	the	the	DET
cuesj-388	42	12	intensity	intensity	NOUN
cuesj-388	42	13	of	of	ADP
cuesj-388	42	14	neighboring	neighboring	NOUN
cuesj-388	42	15	pixels	pixel	NOUN
cuesj-388	42	16	based	base	VERB
cuesj-388	42	17	on	on	ADP
cuesj-388	42	18	the	the	DET
cuesj-388	42	19	value	value	NOUN
cuesj-388	42	20	of	of	ADP
cuesj-388	42	21	the	the	DET
cuesj-388	42	22	central	central	ADJ
cuesj-388	42	23	pixel.[15	pixel.[15	NOUN
cuesj-388	42	24	]	]	PUNCT
cuesj-388	42	25	having	have	VERB
cuesj-388	42	26	a	a	DET
cuesj-388	42	27	value	value	NOUN
cuesj-388	42	28	equal	equal	ADJ
cuesj-388	42	29	or	or	CCONJ
cuesj-388	42	30	greater	great	ADJ
cuesj-388	42	31	than	than	ADP
cuesj-388	42	32	the	the	DET
cuesj-388	42	33	threshold	threshold	NOUN
cuesj-388	42	34	pixel	pixel	NOUN
cuesj-388	42	35	will	will	AUX
cuesj-388	42	36	assign	assign	VERB
cuesj-388	42	37	the	the	DET
cuesj-388	42	38	bit	bit	NOUN
cuesj-388	42	39	1	1	NUM
cuesj-388	42	40	and	and	CCONJ
cuesj-388	42	41	the	the	DET
cuesj-388	42	42	remaining	remain	VERB
cuesj-388	42	43	others	other	NOUN
cuesj-388	42	44	whose	whose	DET
cuesj-388	42	45	values	value	NOUN
cuesj-388	42	46	are	be	AUX
cuesj-388	42	47	smaller	small	ADJ
cuesj-388	42	48	than	than	ADP
cuesj-388	42	49	the	the	DET
cuesj-388	42	50	central	central	ADJ
cuesj-388	42	51	pixel	pixel	NOUN
cuesj-388	42	52	value	value	NOUN
cuesj-388	42	53	will	will	AUX
cuesj-388	42	54	have	have	VERB
cuesj-388	42	55	bit	bit	NOUN
cuesj-388	42	56	0	0	NUM
cuesj-388	42	57	.	.	PUNCT
cuesj-388	43	1	a	a	DET
cuesj-388	43	2	bit	bit	NOUN
cuesj-388	43	3	vector	vector	NOUN
cuesj-388	43	4	is	be	AUX
cuesj-388	43	5	formed	form	VERB
cuesj-388	43	6	by	by	ADP
cuesj-388	43	7	restricting	restrict	VERB
cuesj-388	43	8	all	all	DET
cuesj-388	43	9	these	these	DET
cuesj-388	43	10	binary	binary	ADJ
cuesj-388	43	11	digits	digit	NOUN
cuesj-388	43	12	in	in	ADP
cuesj-388	43	13	a	a	DET
cuesj-388	43	14	clockwise	clockwise	NOUN
cuesj-388	43	15	motion	motion	NOUN
cuesj-388	43	16	.	.	PUNCT
cuesj-388	44	1	the	the	DET
cuesj-388	44	2	decimal	decimal	ADJ
cuesj-388	44	3	point	point	NOUN
cuesj-388	44	4	of	of	ADP
cuesj-388	44	5	the	the	DET
cuesj-388	44	6	central	central	ADJ
cuesj-388	44	7	pixel	pixel	NOUN
cuesj-388	44	8	can	can	AUX
cuesj-388	44	9	be	be	AUX
cuesj-388	44	10	achieved	achieve	VERB
cuesj-388	44	11	by	by	ADP
cuesj-388	44	12	converting	convert	VERB
cuesj-388	44	13	the	the	DET
cuesj-388	44	14	binary	binary	ADJ
cuesj-388	44	15	sequences	sequence	NOUN
cuesj-388	44	16	.	.	PUNCT
cuesj-388	45	1	mathematically	mathematically	ADV
cuesj-388	45	2	,	,	PUNCT
cuesj-388	45	3	the	the	DET
cuesj-388	45	4	lbp	lbp	NOUN
cuesj-388	45	5	for	for	ADP
cuesj-388	45	6	every	every	DET
cuesj-388	45	7	pixel	pixel	NOUN
cuesj-388	45	8	is	be	AUX
cuesj-388	45	9	represented	represent	VERB
cuesj-388	45	10	as	as	ADP
cuesj-388	45	11	:	:	PUNCT
cuesj-388	45	12	[	[	X
cuesj-388	45	13	16	16	NUM
cuesj-388	45	14	]	]	X
cuesj-388	45	15	lbr	lbr	NOUN
cuesj-388	45	16	p	p	NOUN
cuesj-388	45	17	r	r	NOUN
cuesj-388	45	18	f	f	NOUN
cuesj-388	45	19	g	g	NOUN
cuesj-388	45	20	gp	gp	NOUN
cuesj-388	45	21	c	c	PROPN
cuesj-388	46	1	p	p	NOUN
cuesj-388	46	2	p	p	X
cuesj-388	46	3	p	p	X
cuesj-388	46	4	(	(	PUNCT
cuesj-388	46	5	,	,	PUNCT
cuesj-388	46	6	)	)	PUNCT
cuesj-388	46	7	(	(	PUNCT
cuesj-388	46	8	)	)	PUNCT
cuesj-388	46	9	�	�	PROPN
cuesj-388	46	10	�	�	PROPN
cuesj-388	46	11	�	�	PROPN
cuesj-388	46	12	�	�	PROPN
cuesj-388	46	13	�	�	PROPN
cuesj-388	46	14	2	2	NUM
cuesj-388	46	15	0	0	NUM
cuesj-388	46	16	1	1	NUM
cuesj-388	46	17	(	(	PUNCT
cuesj-388	46	18	1	1	NUM
cuesj-388	46	19	)	)	PUNCT
cuesj-388	46	20	where	where	SCONJ
cuesj-388	46	21	p	p	NOUN
cuesj-388	46	22	denotes	denote	VERB
cuesj-388	46	23	the	the	DET
cuesj-388	46	24	total	total	ADJ
cuesj-388	46	25	number	number	NOUN
cuesj-388	46	26	of	of	ADP
cuesj-388	46	27	pixels	pixel	NOUN
cuesj-388	46	28	surrounding	surround	VERB
cuesj-388	46	29	the	the	DET
cuesj-388	46	30	central	central	ADJ
cuesj-388	46	31	pixel	pixel	NOUN
cuesj-388	46	32	in	in	ADP
cuesj-388	46	33	radius	radius	PROPN
cuesj-388	46	34	r.	r.	PROPN
cuesj-388	46	35	furthermore	furthermore	ADV
cuesj-388	46	36	,	,	PUNCT
cuesj-388	46	37	gp	gp	NOUN
cuesj-388	46	38	,	,	PUNCT
cuesj-388	46	39	and	and	CCONJ
cuesj-388	46	40	gc	gc	PROPN
cuesj-388	46	41	represent	represent	VERB
cuesj-388	46	42	the	the	DET
cuesj-388	46	43	intensity	intensity	NOUN
cuesj-388	46	44	of	of	ADP
cuesj-388	46	45	central	central	ADJ
cuesj-388	46	46	pixel	pixel	NOUN
cuesj-388	46	47	and	and	CCONJ
cuesj-388	46	48	neighbor	neighbor	NOUN
cuesj-388	46	49	pixels	pixel	NOUN
cuesj-388	46	50	,	,	PUNCT
cuesj-388	46	51	respectively	respectively	ADV
cuesj-388	46	52	.	.	PUNCT
cuesj-388	47	1	in	in	ADP
cuesj-388	47	2	the	the	DET
cuesj-388	47	3	lbp	lbp	PROPN
cuesj-388	47	4	feature	feature	NOUN
cuesj-388	47	5	vector	vector	NOUN
cuesj-388	47	6	,	,	PUNCT
cuesj-388	47	7	each	each	DET
cuesj-388	47	8	central	central	ADJ
cuesj-388	47	9	pixel	pixel	NOUN
cuesj-388	47	10	in	in	ADP
cuesj-388	47	11	(	(	PUNCT
cuesj-388	47	12	x	x	NOUN
cuesj-388	47	13	,	,	PUNCT
cuesj-388	47	14	y	y	NOUN
cuesj-388	47	15	)	)	PUNCT
cuesj-388	47	16	image	image	NOUN
cuesj-388	47	17	is	be	AUX
cuesj-388	47	18	surrounded	surround	VERB
cuesj-388	47	19	by	by	ADP
cuesj-388	47	20	eight	eight	NUM
cuesj-388	47	21	neighbors	neighbor	NOUN
cuesj-388	47	22	if	if	SCONJ
cuesj-388	47	23	the	the	DET
cuesj-388	47	24	radius	radius	NOUN
cuesj-388	47	25	of	of	ADP
cuesj-388	47	26	circulation	circulation	NOUN
cuesj-388	47	27	(	(	PUNCT
cuesj-388	47	28	r	r	NOUN
cuesj-388	47	29	)	)	PUNCT
cuesj-388	47	30	equals	equal	VERB
cuesj-388	47	31	one	one	NUM
cuesj-388	47	32	.	.	PUNCT
cuesj-388	48	1	at	at	ADP
cuesj-388	48	2	the	the	DET
cuesj-388	48	3	same	same	ADJ
cuesj-388	48	4	time	time	NOUN
cuesj-388	48	5	,	,	PUNCT
cuesj-388	48	6	the	the	DET
cuesj-388	48	7	central	central	ADJ
cuesj-388	48	8	value	value	NOUN
cuesj-388	48	9	is	be	AUX
cuesj-388	48	10	equal	equal	ADJ
cuesj-388	48	11	to	to	ADP
cuesj-388	48	12	the	the	DET
cuesj-388	48	13	threshold	threshold	NOUN
cuesj-388	48	14	value	value	NOUN
cuesj-388	48	15	of	of	ADP
cuesj-388	48	16	any	any	DET
cuesj-388	48	17	neighbor	neighbor	NOUN
cuesj-388	48	18	pixel	pixel	PROPN
cuesj-388	48	19	.	.	PUNCT
cuesj-388	49	1	feature	feature	NOUN
cuesj-388	49	2	selection	selection	NOUN
cuesj-388	49	3	the	the	DET
cuesj-388	49	4	role	role	NOUN
cuesj-388	49	5	of	of	ADP
cuesj-388	49	6	feature	feature	NOUN
cuesj-388	49	7	selection	selection	NOUN
cuesj-388	49	8	is	be	AUX
cuesj-388	49	9	to	to	PART
cuesj-388	49	10	simplify	simplify	VERB
cuesj-388	49	11	the	the	DET
cuesj-388	49	12	model	model	NOUN
cuesj-388	49	13	by	by	ADP
cuesj-388	49	14	making	make	VERB
cuesj-388	49	15	a	a	DET
cuesj-388	49	16	vector	vector	NOUN
cuesj-388	49	17	with	with	ADP
cuesj-388	49	18	relevant	relevant	ADJ
cuesj-388	49	19	features	feature	NOUN
cuesj-388	49	20	,	,	PUNCT
cuesj-388	49	21	shorter	short	ADJ
cuesj-388	49	22	training	training	NOUN
cuesj-388	49	23	time	time	NOUN
cuesj-388	49	24	,	,	PUNCT
cuesj-388	49	25	and	and	CCONJ
cuesj-388	49	26	reducing	reduce	VERB
cuesj-388	49	27	the	the	DET
cuesj-388	49	28	over	over	ADP
cuesj-388	49	29	fitting	fitting	ADJ
cuesj-388	49	30	case	case	NOUN
cuesj-388	49	31	because	because	SCONJ
cuesj-388	49	32	a	a	DET
cuesj-388	49	33	real	real	ADJ
cuesj-388	49	34	dataset	dataset	NOUN
cuesj-388	49	35	contains	contain	VERB
cuesj-388	49	36	statistically	statistically	ADV
cuesj-388	49	37	irrelevant	irrelevant	ADJ
cuesj-388	49	38	features	feature	NOUN
cuesj-388	49	39	that	that	PRON
cuesj-388	49	40	may	may	AUX
cuesj-388	49	41	create	create	VERB
cuesj-388	49	42	a	a	DET
cuesj-388	49	43	problem	problem	NOUN
cuesj-388	49	44	in	in	ADP
cuesj-388	49	45	classification	classification	NOUN
cuesj-388	49	46	tasks.[17,18	tasks.[17,18	NOUN
cuesj-388	49	47	]	]	PUNCT
cuesj-388	49	48	nowadays	nowadays	ADV
cuesj-388	49	49	,	,	PUNCT
cuesj-388	49	50	the	the	DET
cuesj-388	49	51	binary	binary	ADJ
cuesj-388	49	52	particle	particle	NOUN
cuesj-388	49	53	swarm	swarm	NOUN
cuesj-388	49	54	optimization	optimization	NOUN
cuesj-388	49	55	(	(	PUNCT
cuesj-388	49	56	bpso	bpso	NOUN
cuesj-388	49	57	)	)	PUNCT
cuesj-388	49	58	metaheuristic	metaheuristic	ADJ
cuesj-388	49	59	algorithm	algorithm	NOUN
cuesj-388	49	60	is	be	AUX
cuesj-388	49	61	considered	consider	VERB
cuesj-388	49	62	as	as	ADP
cuesj-388	49	63	an	an	DET
cuesj-388	49	64	effective	effective	ADJ
cuesj-388	49	65	modern	modern	ADJ
cuesj-388	49	66	technique	technique	NOUN
cuesj-388	49	67	for	for	ADP
cuesj-388	49	68	feature	feature	NOUN
cuesj-388	49	69	selection	selection	NOUN
cuesj-388	49	70	with	with	ADP
cuesj-388	49	71	less	less	ADJ
cuesj-388	49	72	running	running	ADJ
cuesj-388	49	73	consumption	consumption	NOUN
cuesj-388	49	74	figure	figure	NOUN
cuesj-388	49	75	2.[19	2.[19	NUM
cuesj-388	49	76	]	]	PUNCT
cuesj-388	49	77	it	it	PRON
cuesj-388	49	78	works	work	VERB
cuesj-388	49	79	based	base	VERB
cuesj-388	49	80	on	on	ADP
cuesj-388	49	81	a	a	DET
cuesj-388	49	82	set	set	NOUN
cuesj-388	49	83	of	of	ADP
cuesj-388	49	84	candidate	candidate	NOUN
cuesj-388	49	85	solutions	solution	NOUN
cuesj-388	49	86	of	of	ADP
cuesj-388	49	87	randomly	randomly	ADV
cuesj-388	49	88	generated	generate	VERB
cuesj-388	49	89	particles	particle	NOUN
cuesj-388	49	90	.	.	PUNCT
cuesj-388	50	1	the	the	DET
cuesj-388	50	2	particles	particle	NOUN
cuesj-388	50	3	are	be	AUX
cuesj-388	50	4	moving	move	VERB
cuesj-388	50	5	around	around	ADP
cuesj-388	50	6	the	the	DET
cuesj-388	50	7	search	search	NOUN
cuesj-388	50	8	space	space	NOUN
cuesj-388	50	9	to	to	PART
cuesj-388	50	10	find	find	VERB
cuesj-388	50	11	the	the	DET
cuesj-388	50	12	global	global	ADJ
cuesj-388	50	13	best	well	ADV
cuesj-388	50	14	-	-	PUNCT
cuesj-388	50	15	optimized	optimize	VERB
cuesj-388	50	16	solution	solution	NOUN
cuesj-388	50	17	due	due	ADP
cuesj-388	50	18	to	to	ADP
cuesj-388	50	19	mathematical	mathematical	ADJ
cuesj-388	50	20	formula	formula	NOUN
cuesj-388	50	21	over	over	ADP
cuesj-388	50	22	both	both	DET
cuesj-388	50	23	particle	particle	NOUN
cuesj-388	50	24	’s	’s	PART
cuesj-388	50	25	position	position	NOUN
cuesj-388	50	26	x	x	PUNCT
cuesj-388	50	27	and	and	CCONJ
cuesj-388	50	28	velocity	velocity	NOUN
cuesj-388	50	29	v.	v.	ADP
cuesj-388	50	30	according	accord	VERB
cuesj-388	50	31	to	to	ADP
cuesj-388	50	32	the	the	DET
cuesj-388	50	33	used	use	VERB
cuesj-388	50	34	objective	objective	ADJ
cuesj-388	50	35	function	function	NOUN
cuesj-388	50	36	,	,	PUNCT
cuesj-388	50	37	global	global	ADJ
cuesj-388	50	38	best	good	ADJ
cuesj-388	50	39	(	(	PUNCT
cuesj-388	50	40	gbest	gb	ADJ
cuesj-388	50	41	)	)	PUNCT
cuesj-388	50	42	and	and	CCONJ
cuesj-388	50	43	local	local	ADJ
cuesj-388	50	44	best	good	ADJ
cuesj-388	50	45	(	(	PUNCT
cuesj-388	50	46	lbest	lb	ADJ
cuesj-388	50	47	)	)	PUNCT
cuesj-388	50	48	of	of	ADP
cuesj-388	50	49	moving	move	VERB
cuesj-388	50	50	particles	particle	NOUN
cuesj-388	50	51	will	will	AUX
cuesj-388	50	52	be	be	AUX
cuesj-388	50	53	initiated	initiate	VERB
cuesj-388	50	54	in	in	ADP
cuesj-388	50	55	regards	regard	NOUN
cuesj-388	50	56	to	to	ADP
cuesj-388	50	57	the	the	DET
cuesj-388	50	58	optimization	optimization	NOUN
cuesj-388	50	59	problem	problem	NOUN
cuesj-388	50	60	.	.	PUNCT
cuesj-388	51	1	then	then	ADV
cuesj-388	51	2	,	,	PUNCT
cuesj-388	51	3	after	after	ADP
cuesj-388	51	4	mohammed	mohammed	PROPN
cuesj-388	51	5	,	,	PUNCT
cuesj-388	51	6	et	et	PROPN
cuesj-388	51	7	al	al	PROPN
cuesj-388	51	8	.	.	PUNCT
cuesj-388	51	9	:	:	PUNCT
cuesj-388	52	1	covid-19	covid-19	PROPN
cuesj-388	52	2	chest	chest	NOUN
cuesj-388	52	3	x	x	NOUN
cuesj-388	52	4	-	-	NOUN
cuesj-388	52	5	ray	ray	NOUN
cuesj-388	52	6	images	image	NOUN
cuesj-388	52	7	48	48	NUM
cuesj-388	52	8	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-388	52	9	cuesj	cuesj	ADJ
cuesj-388	52	10	2021	2021	NUM
cuesj-388	52	11	,	,	PUNCT
cuesj-388	52	12	5	5	NUM
cuesj-388	52	13	(	(	PUNCT
cuesj-388	52	14	2	2	NUM
cuesj-388	52	15	):	):	PUNCT
cuesj-388	52	16	46	46	NUM
cuesj-388	52	17	-	-	SYM
cuesj-388	52	18	51	51	NUM
cuesj-388	52	19	each	each	DET
cuesj-388	52	20	iteration	iteration	NOUN
cuesj-388	52	21	,	,	PUNCT
cuesj-388	52	22	the	the	DET
cuesj-388	52	23	particles	particle	NOUN
cuesj-388	52	24	try	try	VERB
cuesj-388	52	25	to	to	PART
cuesj-388	52	26	update	update	VERB
cuesj-388	52	27	their	their	PRON
cuesj-388	52	28	positions	position	NOUN
cuesj-388	52	29	and	and	CCONJ
cuesj-388	52	30	velocities	velocity	NOUN
cuesj-388	52	31	according	accord	VERB
cuesj-388	52	32	to	to	ADP
cuesj-388	52	33	the	the	DET
cuesj-388	52	34	particle	particle	NOUN
cuesj-388	52	35	’s	’s	PART
cuesj-388	52	36	last	last	ADJ
cuesj-388	52	37	destination	destination	NOUN
cuesj-388	52	38	and	and	CCONJ
cuesj-388	52	39	best	well	ADV
cuesj-388	52	40	moving	moving	NOUN
cuesj-388	52	41	,	,	PUNCT
cuesj-388	52	42	which	which	PRON
cuesj-388	52	43	the	the	DET
cuesj-388	52	44	best	good	ADJ
cuesj-388	52	45	candidate	candidate	NOUN
cuesj-388	52	46	records	record	NOUN
cuesj-388	52	47	until	until	SCONJ
cuesj-388	52	48	the	the	DET
cuesj-388	52	49	searching	searching	NOUN
cuesj-388	52	50	process	process	NOUN
cuesj-388	52	51	is	be	AUX
cuesj-388	52	52	completed.[20	completed.[20	NOUN
cuesj-388	52	53	]	]	X
cuesj-388	52	54	the	the	DET
cuesj-388	52	55	next	next	ADJ
cuesj-388	52	56	position	position	NOUN
cuesj-388	52	57	and	and	CCONJ
cuesj-388	52	58	velocity	velocity	NOUN
cuesj-388	52	59	for	for	ADP
cuesj-388	52	60	each	each	DET
cuesj-388	52	61	particle	particle	NOUN
cuesj-388	52	62	can	can	AUX
cuesj-388	52	63	be	be	AUX
cuesj-388	52	64	determined	determine	VERB
cuesj-388	52	65	by	by	ADP
cuesj-388	52	66	:	:	PUNCT
cuesj-388	53	1	x	x	SYM
cuesj-388	53	2	x	x	SYM
cuesj-388	53	3	vid	vid	NOUN
cuesj-388	53	4	t	t	PROPN
cuesj-388	54	1	i	i	PROPN
cuesj-388	54	2	d	d	PROPN
cuesj-388	54	3	t	t	PROPN
cuesj-388	55	1	i	i	PROPN
cuesj-388	55	2	d	d	PROPN
cuesj-388	55	3	t	t	PROPN
cuesj-388	55	4	�	�	PROPN
cuesj-388	55	5	�	�	PROPN
cuesj-388	55	6	�	�	PROPN
cuesj-388	55	7	�	�	PROPN
cuesj-388	55	8	1	1	NUM
cuesj-388	55	9	1	1	NUM
cuesj-388	55	10	(	(	PUNCT
cuesj-388	55	11	2	2	NUM
cuesj-388	55	12	)	)	PUNCT
cuesj-388	55	13	v	v	NOUN
cuesj-388	55	14	w	w	NOUN
cuesj-388	55	15	v	v	NOUN
cuesj-388	55	16	c	c	NOUN
cuesj-388	55	17	r	r	NOUN
cuesj-388	55	18	p	p	NOUN
cuesj-388	55	19	x	x	X
cuesj-388	55	20	c	c	NOUN
cuesj-388	55	21	r	r	NOUN
cuesj-388	55	22	p	p	NOUN
cuesj-388	55	23	xid	xid	PROPN
cuesj-388	55	24	t	t	PROPN
cuesj-388	55	25	i	i	PROPN
cuesj-388	55	26	d	d	PROPN
cuesj-388	55	27	t	t	PROPN
cuesj-388	56	1	i	i	PROPN
cuesj-388	56	2	d	d	PROPN
cuesj-388	56	3	i	i	PROPN
cuesj-388	56	4	d	d	PROPN
cuesj-388	56	5	t	t	PROPN
cuesj-388	57	1	gd	gd	PROPN
cuesj-388	57	2	i	i	PROPN
cuesj-388	57	3	d	d	PROPN
cuesj-388	57	4	t	t	PROPN
cuesj-388	57	5	�	�	PROPN
cuesj-388	57	6	�	�	PROPN
cuesj-388	57	7	�	�	PROPN
cuesj-388	57	8	�	�	PROPN
cuesj-388	57	9	�	�	PROPN
cuesj-388	57	10	�	�	PROPN
cuesj-388	57	11	1	1	NUM
cuesj-388	57	12	1	1	NUM
cuesj-388	57	13	1	1	NUM
cuesj-388	57	14	2	2	NUM
cuesj-388	57	15	2	2	NUM
cuesj-388	57	16	*	*	PUNCT
cuesj-388	57	17	*	*	PUNCT
cuesj-388	57	18	(	(	PUNCT
cuesj-388	57	19	)	)	PUNCT
cuesj-388	57	20	*	*	PUNCT
cuesj-388	57	21	(	(	PUNCT
cuesj-388	57	22	)	)	PUNCT
cuesj-388	57	23	(	(	PUNCT
cuesj-388	57	24	3	3	X
cuesj-388	57	25	)	)	PUNCT
cuesj-388	57	26	where	where	SCONJ
cuesj-388	57	27	pid	pid	NOUN
cuesj-388	57	28	and	and	CCONJ
cuesj-388	57	29	pgd	pgd	PROPN
cuesj-388	57	30	represent	represent	VERB
cuesj-388	57	31	lbest	lb	ADJ
cuesj-388	57	32	and	and	CCONJ
cuesj-388	57	33	gbest	gbest	ADJ
cuesj-388	57	34	,	,	PUNCT
cuesj-388	57	35	respectively	respectively	ADV
cuesj-388	57	36	,	,	PUNCT
cuesj-388	57	37	in	in	ADP
cuesj-388	57	38	the	the	DET
cuesj-388	57	39	dth	dth	ADJ
cuesj-388	57	40	dimension	dimension	NOUN
cuesj-388	57	41	.	.	PUNCT
cuesj-388	58	1	c1	c1	PROPN
cuesj-388	58	2	and	and	CCONJ
cuesj-388	58	3	c2	c2	PROPN
cuesj-388	58	4	are	be	AUX
cuesj-388	58	5	acceleration	acceleration	NOUN
cuesj-388	58	6	constants	constant	NOUN
cuesj-388	58	7	.	.	PUNCT
cuesj-388	59	1	r1	r1	PROPN
cuesj-388	59	2	and	and	CCONJ
cuesj-388	59	3	r2	r2	PROPN
cuesj-388	59	4	are	be	AUX
cuesj-388	59	5	random	random	ADJ
cuesj-388	59	6	change	change	NOUN
cuesj-388	59	7	values	value	NOUN
cuesj-388	59	8	between	between	ADP
cuesj-388	59	9	0	0	NUM
cuesj-388	59	10	and	and	CCONJ
cuesj-388	59	11	1	1	NUM
cuesj-388	59	12	.	.	X
cuesj-388	60	1	w	w	NOUN
cuesj-388	60	2	is	be	AUX
cuesj-388	60	3	inertia	inertia	NOUN
cuesj-388	60	4	weight	weight	NOUN
cuesj-388	60	5	to	to	PART
cuesj-388	60	6	set	set	VERB
cuesj-388	60	7	up	up	ADP
cuesj-388	60	8	a	a	DET
cuesj-388	60	9	balance	balance	NOUN
cuesj-388	60	10	between	between	ADP
cuesj-388	60	11	previous	previous	ADJ
cuesj-388	60	12	and	and	CCONJ
cuesj-388	60	13	current	current	ADJ
cuesj-388	60	14	velocity	velocity	NOUN
cuesj-388	60	15	,	,	PUNCT
cuesj-388	60	16	which	which	PRON
cuesj-388	60	17	refers	refer	VERB
cuesj-388	60	18	to	to	ADP
cuesj-388	60	19	exploitation	exploitation	NOUN
cuesj-388	60	20	and	and	CCONJ
cuesj-388	60	21	exploration	exploration	NOUN
cuesj-388	60	22	[	[	NOUN
cuesj-388	60	23	table	table	NOUN
cuesj-388	60	24	1	1	NUM
cuesj-388	60	25	]	]	PUNCT
cuesj-388	60	26	.	.	PUNCT
cuesj-388	61	1	with	with	ADP
cuesj-388	61	2	defining	define	VERB
cuesj-388	61	3	the	the	DET
cuesj-388	61	4	construction	construction	NOUN
cuesj-388	61	5	factor	factor	NOUN
cuesj-388	61	6	(	(	PUNCT
cuesj-388	61	7	k	k	NOUN
cuesj-388	61	8	)	)	PUNCT
cuesj-388	61	9	,	,	PUNCT
cuesj-388	61	10	the	the	DET
cuesj-388	61	11	update	update	NOUN
cuesj-388	61	12	of	of	ADP
cuesj-388	61	13	eq	eq	PROPN
cuesj-388	61	14	.	.	PUNCT
cuesj-388	61	15	(	(	PUNCT
cuesj-388	61	16	3	3	X
cuesj-388	61	17	)	)	PUNCT
cuesj-388	61	18	becomes	become	VERB
cuesj-388	61	19	:	:	PUNCT
cuesj-388	61	20	v	v	X
cuesj-388	61	21	k	k	NOUN
cuesj-388	61	22	v	v	NOUN
cuesj-388	61	23	c	c	NOUN
cuesj-388	61	24	r	r	NOUN
cuesj-388	61	25	p	p	NOUN
cuesj-388	61	26	x	x	X
cuesj-388	61	27	c	c	NOUN
cuesj-388	61	28	r	r	NOUN
cuesj-388	61	29	p	p	NOUN
cuesj-388	61	30	xid	xid	PROPN
cuesj-388	61	31	t	t	PROPN
cuesj-388	61	32	i	i	PROPN
cuesj-388	61	33	d	d	PROPN
cuesj-388	61	34	t	t	PROPN
cuesj-388	62	1	i	i	PROPN
cuesj-388	62	2	d	d	PROPN
cuesj-388	62	3	i	i	PROPN
cuesj-388	62	4	d	d	PROPN
cuesj-388	62	5	t	t	PROPN
cuesj-388	63	1	gd	gd	PROPN
cuesj-388	63	2	i	i	PROPN
cuesj-388	63	3	d	d	PROPN
cuesj-388	63	4	t	t	PROPN
cuesj-388	63	5	�	�	PROPN
cuesj-388	63	6	�	�	PROPN
cuesj-388	63	7	�	�	PROPN
cuesj-388	63	8	�	�	PROPN
cuesj-388	63	9	�	�	PROPN
cuesj-388	63	10	�	�	PROPN
cuesj-388	63	11	1	1	NUM
cuesj-388	63	12	1	1	NUM
cuesj-388	63	13	1	1	NUM
cuesj-388	63	14	2	2	NUM
cuesj-388	63	15	2	2	NUM
cuesj-388	63	16	*	*	PUNCT
cuesj-388	63	17	*	*	PUNCT
cuesj-388	63	18	(	(	PUNCT
cuesj-388	63	19	)	)	PUNCT
cuesj-388	63	20	*	*	PUNCT
cuesj-388	63	21	(	(	PUNCT
cuesj-388	63	22	)	)	PUNCT
cuesj-388	63	23	(	(	PUNCT
cuesj-388	63	24	4	4	X
cuesj-388	63	25	)	)	PUNCT
cuesj-388	63	26	where	where	SCONJ
cuesj-388	63	27	k	k	PROPN
cuesj-388	63	28	�	�	PROPN
cuesj-388	63	29	�	�	PROPN
cuesj-388	63	30	�	�	PROPN
cuesj-388	63	31	�	�	PROPN
cuesj-388	63	32	2	2	NUM
cuesj-388	63	33	2	2	NUM
cuesj-388	63	34	42	42	NUM
cuesj-388	63	35	�	�	PROPN
cuesj-388	63	36	�	�	PROPN
cuesj-388	63	37	and	and	CCONJ
cuesj-388	63	38	ϕ=c1+c2	ϕ=c1+c2	PROPN
cuesj-388	63	39	,	,	PUNCT
cuesj-388	63	40	c1+c2	c1+c2	PROPN
cuesj-388	63	41	<	<	X
cuesj-388	63	42	4	4	NUM
cuesj-388	63	43	(	(	PUNCT
cuesj-388	63	44	5	5	NUM
cuesj-388	63	45	)	)	PUNCT
cuesj-388	63	46	under	under	ADP
cuesj-388	63	47	the	the	DET
cuesj-388	63	48	equation	equation	NOUN
cuesj-388	63	49	’s	’s	PART
cuesj-388	63	50	balance	balance	NOUN
cuesj-388	63	51	,	,	PUNCT
cuesj-388	63	52	mathematically	mathematically	ADV
cuesj-388	63	53	equation	equation	NOUN
cuesj-388	63	54	w	w	NOUN
cuesj-388	63	55	from	from	ADP
cuesj-388	63	56	eq	eq	ADP
cuesj-388	63	57	.	.	PUNCT
cuesj-388	64	1	(	(	PUNCT
cuesj-388	64	2	3	3	X
cuesj-388	64	3	)	)	PUNCT
cuesj-388	64	4	is	be	AUX
cuesj-388	64	5	equal	equal	ADJ
cuesj-388	64	6	.	.	PUNCT
cuesj-388	65	1	once	once	ADV
cuesj-388	65	2	the	the	DET
cuesj-388	65	3	relevant	relevant	ADJ
cuesj-388	65	4	features	feature	NOUN
cuesj-388	65	5	were	be	AUX
cuesj-388	65	6	selected	select	VERB
cuesj-388	65	7	,	,	PUNCT
cuesj-388	65	8	passed	pass	VERB
cuesj-388	65	9	features	feature	NOUN
cuesj-388	65	10	were	be	AUX
cuesj-388	65	11	labeled	label	VERB
cuesj-388	65	12	and	and	CCONJ
cuesj-388	65	13	split	split	VERB
cuesj-388	65	14	into	into	ADP
cuesj-388	65	15	training	training	NOUN
cuesj-388	65	16	and	and	CCONJ
cuesj-388	65	17	testing	testing	NOUN
cuesj-388	65	18	sets	set	NOUN
cuesj-388	65	19	based	base	VERB
cuesj-388	65	20	on	on	ADP
cuesj-388	65	21	a	a	DET
cuesj-388	65	22	10	10	NUM
cuesj-388	65	23	-	-	ADJ
cuesj-388	65	24	fold	fold	ADJ
cuesj-388	65	25	cross	cross	ADJ
cuesj-388	65	26	-	-	ADJ
cuesj-388	65	27	validation	validation	ADJ
cuesj-388	65	28	strategy	strategy	NOUN
cuesj-388	65	29	.	.	PUNCT
cuesj-388	66	1	class	class	NOUN
cuesj-388	66	2	0	0	NUM
cuesj-388	66	3	refers	refer	VERB
cuesj-388	66	4	to	to	ADP
cuesj-388	66	5	the	the	DET
cuesj-388	66	6	normal	normal	ADJ
cuesj-388	66	7	images	image	NOUN
cuesj-388	66	8	and	and	CCONJ
cuesj-388	66	9	class	class	NOUN
cuesj-388	66	10	1	1	NUM
cuesj-388	66	11	determines	determine	VERB
cuesj-388	66	12	the	the	DET
cuesj-388	66	13	presence	presence	NOUN
cuesj-388	66	14	of	of	ADP
cuesj-388	66	15	covid-19	covid-19	PROPN
cuesj-388	66	16	disease	disease	NOUN
cuesj-388	66	17	.	.	PUNCT
cuesj-388	67	1	classification	classification	NOUN
cuesj-388	67	2	image	image	NOUN
cuesj-388	67	3	classification	classification	NOUN
cuesj-388	67	4	is	be	AUX
cuesj-388	67	5	an	an	DET
cuesj-388	67	6	important	important	ADJ
cuesj-388	67	7	step	step	NOUN
cuesj-388	67	8	for	for	ADP
cuesj-388	67	9	observing	observe	VERB
cuesj-388	67	10	whether	whether	SCONJ
cuesj-388	67	11	the	the	DET
cuesj-388	67	12	model	model	NOUN
cuesj-388	67	13	can	can	AUX
cuesj-388	67	14	classify	classify	VERB
cuesj-388	67	15	infected	infect	VERB
cuesj-388	67	16	images	image	NOUN
cuesj-388	67	17	from	from	ADP
cuesj-388	67	18	normal	normal	ADJ
cuesj-388	67	19	images	image	NOUN
cuesj-388	67	20	or	or	CCONJ
cuesj-388	67	21	not	not	PART
cuesj-388	67	22	.	.	PUNCT
cuesj-388	68	1	two	two	NUM
cuesj-388	68	2	classification	classification	NOUN
cuesj-388	68	3	methods	method	NOUN
cuesj-388	68	4	svm	svm	VERB
cuesj-388	68	5	and	and	CCONJ
cuesj-388	68	6	knn	knn	PROPN
cuesj-388	68	7	were	be	AUX
cuesj-388	68	8	performed	perform	VERB
cuesj-388	68	9	figure	figure	NOUN
cuesj-388	68	10	1	1	NUM
cuesj-388	68	11	:	:	PUNCT
cuesj-388	68	12	flow	flow	VERB
cuesj-388	68	13	chart	chart	NOUN
cuesj-388	68	14	of	of	ADP
cuesj-388	68	15	proposed	propose	VERB
cuesj-388	68	16	methodology	methodology	NOUN
cuesj-388	68	17	mohammed	mohammed	PROPN
cuesj-388	68	18	,	,	PUNCT
cuesj-388	68	19	et	et	PROPN
cuesj-388	68	20	al	al	PROPN
cuesj-388	68	21	.	.	PUNCT
cuesj-388	68	22	:	:	PUNCT
cuesj-388	69	1	covid-19	covid-19	PROPN
cuesj-388	69	2	chest	chest	NOUN
cuesj-388	69	3	x	x	NOUN
cuesj-388	69	4	-	-	NOUN
cuesj-388	69	5	ray	ray	NOUN
cuesj-388	69	6	images	image	NOUN
cuesj-388	69	7	49	49	NUM
cuesj-388	69	8	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-388	69	9	cuesj	cuesj	ADJ
cuesj-388	69	10	2021	2021	NUM
cuesj-388	69	11	,	,	PUNCT
cuesj-388	69	12	5	5	NUM
cuesj-388	69	13	(	(	PUNCT
cuesj-388	69	14	2	2	NUM
cuesj-388	69	15	):	):	PUNCT
cuesj-388	69	16	46	46	NUM
cuesj-388	69	17	-	-	SYM
cuesj-388	69	18	51	51	NUM
cuesj-388	69	19	table	table	NOUN
cuesj-388	69	20	1	1	NUM
cuesj-388	69	21	:	:	PUNCT
cuesj-388	69	22	binary	binary	ADJ
cuesj-388	69	23	particle	particle	NOUN
cuesj-388	69	24	swarm	swarm	NOUN
cuesj-388	69	25	optimization	optimization	NOUN
cuesj-388	69	26	algorithmic	algorithmic	ADJ
cuesj-388	69	27	parameters	parameter	NOUN
cuesj-388	69	28	for	for	ADP
cuesj-388	69	29	searching	search	VERB
cuesj-388	69	30	the	the	DET
cuesj-388	69	31	best	good	ADJ
cuesj-388	69	32	solution	solution	NOUN
cuesj-388	69	33	by	by	ADP
cuesj-388	69	34	swarms	swarm	NOUN
cuesj-388	69	35	algorithm	algorithm	NOUN
cuesj-388	69	36	parameter	parameter	NOUN
cuesj-388	69	37	name	name	NOUN
cuesj-388	69	38	value	value	NOUN
cuesj-388	69	39	bpso	bpso	NOUN
cuesj-388	69	40	up	up	ADP
cuesj-388	69	41	(	(	PUNCT
cuesj-388	69	42	upper	upper	ADJ
cuesj-388	69	43	band	band	NOUN
cuesj-388	69	44	)	)	PUNCT
cuesj-388	69	45	10	10	NUM
cuesj-388	69	46	bpso	bpso	NOUN
cuesj-388	69	47	lb	lb	ADP
cuesj-388	69	48	(	(	PUNCT
cuesj-388	69	49	lower	low	ADJ
cuesj-388	69	50	band	band	NOUN
cuesj-388	69	51	)	)	PUNCT
cuesj-388	69	52	−10	−10	PROPN
cuesj-388	69	53	bpso	bpso	PROPN
cuesj-388	69	54	cognitive	cognitive	ADJ
cuesj-388	69	55	component	component	NOUN
cuesj-388	69	56	(	(	PUNCT
cuesj-388	69	57	c1	c1	NOUN
cuesj-388	69	58	)	)	PUNCT
cuesj-388	69	59	2	2	NUM
cuesj-388	69	60	bpso	bpso	NOUN
cuesj-388	69	61	social	social	ADJ
cuesj-388	69	62	component	component	NOUN
cuesj-388	69	63	(	(	PUNCT
cuesj-388	69	64	c2	c2	PROPN
cuesj-388	69	65	)	)	PUNCT
cuesj-388	69	66	2	2	NUM
cuesj-388	69	67	bpso	bpso	NOUN
cuesj-388	69	68	maximum	maximum	ADJ
cuesj-388	69	69	inertia	inertia	NOUN
cuesj-388	69	70	(	(	PUNCT
cuesj-388	69	71	wmax	wmax	NOUN
cuesj-388	69	72	)	)	PUNCT
cuesj-388	69	73	0.9	0.9	NUM
cuesj-388	69	74	bpso	bpso	NOUN
cuesj-388	69	75	minimum	minimum	NOUN
cuesj-388	69	76	inertia	inertia	NOUN
cuesj-388	69	77	(	(	PUNCT
cuesj-388	69	78	wmin	wmin	NOUN
cuesj-388	69	79	)	)	PUNCT
cuesj-388	69	80	0.4	0.4	NUM
cuesj-388	69	81	bpso	bpso	NOUN
cuesj-388	69	82	population	population	NOUN
cuesj-388	69	83	size	size	NOUN
cuesj-388	69	84	10	10	NUM
cuesj-388	69	85	bpso	bpso	NOUN
cuesj-388	69	86	iteration	iteration	NOUN
cuesj-388	69	87	100	100	NUM
cuesj-388	69	88	on	on	ADP
cuesj-388	69	89	training	training	NOUN
cuesj-388	69	90	and	and	CCONJ
cuesj-388	69	91	testing	testing	NOUN
cuesj-388	69	92	datasets	dataset	NOUN
cuesj-388	69	93	.	.	PUNCT
cuesj-388	70	1	svm	svm	PROPN
cuesj-388	70	2	classifier	classifier	PROPN
cuesj-388	70	3	determines	determine	VERB
cuesj-388	70	4	the	the	DET
cuesj-388	70	5	best	good	ADJ
cuesj-388	70	6	hyperplane	hyperplane	NOUN
cuesj-388	70	7	to	to	PART
cuesj-388	70	8	distinguish	distinguish	VERB
cuesj-388	70	9	positive	positive	ADJ
cuesj-388	70	10	and	and	CCONJ
cuesj-388	70	11	negative	negative	ADJ
cuesj-388	70	12	training	training	NOUN
cuesj-388	70	13	samples.[21	samples.[21	NOUN
cuesj-388	70	14	]	]	PUNCT
cuesj-388	70	15	it	it	PRON
cuesj-388	70	16	can	can	AUX
cuesj-388	70	17	project	project	VERB
cuesj-388	70	18	the	the	DET
cuesj-388	70	19	low	low	ADJ
cuesj-388	70	20	dimensional	dimensional	ADJ
cuesj-388	70	21	input	input	NOUN
cuesj-388	70	22	data	datum	NOUN
cuesj-388	70	23	in	in	ADP
cuesj-388	70	24	a	a	DET
cuesj-388	70	25	higher	high	ADJ
cuesj-388	70	26	dimensional	dimensional	ADJ
cuesj-388	70	27	feature	feature	NOUN
cuesj-388	70	28	by	by	ADP
cuesj-388	70	29	choosing	choose	VERB
cuesj-388	70	30	the	the	DET
cuesj-388	70	31	proper	proper	ADJ
cuesj-388	70	32	kernel	kernel	NOUN
cuesj-388	70	33	function	function	NOUN
cuesj-388	70	34	that	that	PRON
cuesj-388	70	35	separates	separate	VERB
cuesj-388	70	36	cases	case	NOUN
cuesj-388	70	37	of	of	ADP
cuesj-388	70	38	class	class	NOUN
cuesj-388	70	39	labels	label	NOUN
cuesj-388	70	40	linearly	linearly	ADV
cuesj-388	70	41	in	in	ADP
cuesj-388	70	42	multidimensional	multidimensional	ADJ
cuesj-388	70	43	space.[22	space.[22	PROPN
cuesj-388	70	44	]	]	PUNCT
cuesj-388	70	45	knn	knn	PROPN
cuesj-388	70	46	captures	capture	VERB
cuesj-388	70	47	the	the	DET
cuesj-388	70	48	idea	idea	NOUN
cuesj-388	70	49	of	of	ADP
cuesj-388	70	50	similarity	similarity	NOUN
cuesj-388	70	51	with	with	ADP
cuesj-388	70	52	some	some	DET
cuesj-388	70	53	mathematics	mathematic	NOUN
cuesj-388	70	54	,	,	PUNCT
cuesj-388	70	55	we	we	PRON
cuesj-388	70	56	might	might	AUX
cuesj-388	70	57	have	have	AUX
cuesj-388	70	58	learned	learn	VERB
cuesj-388	70	59	in	in	ADP
cuesj-388	70	60	calculating	calculate	VERB
cuesj-388	70	61	the	the	DET
cuesj-388	70	62	distance	distance	NOUN
cuesj-388	70	63	between	between	ADP
cuesj-388	70	64	the	the	DET
cuesj-388	70	65	points	point	NOUN
cuesj-388	70	66	on	on	ADP
cuesj-388	70	67	the	the	DET
cuesj-388	70	68	graph	graph	NOUN
cuesj-388	70	69	.	.	PUNCT
cuesj-388	71	1	the	the	DET
cuesj-388	71	2	selection	selection	NOUN
cuesj-388	71	3	of	of	ADP
cuesj-388	71	4	a	a	DET
cuesj-388	71	5	suitable	suitable	ADJ
cuesj-388	71	6	value	value	NOUN
cuesj-388	71	7	of	of	ADP
cuesj-388	71	8	distance	distance	NOUN
cuesj-388	71	9	(	(	PUNCT
cuesj-388	71	10	k	k	NOUN
cuesj-388	71	11	)	)	PUNCT
cuesj-388	71	12	makes	make	VERB
cuesj-388	71	13	the	the	DET
cuesj-388	71	14	model	model	NOUN
cuesj-388	71	15	’s	’s	PART
cuesj-388	71	16	performance	performance	NOUN
cuesj-388	71	17	better.[23	better.[23	NOUN
cuesj-388	71	18	]	]	PUNCT
cuesj-388	71	19	the	the	DET
cuesj-388	71	20	confusion	confusion	NOUN
cuesj-388	71	21	matrix	matrix	NOUN
cuesj-388	71	22	was	be	AUX
cuesj-388	71	23	used	use	VERB
cuesj-388	71	24	to	to	PART
cuesj-388	71	25	better	well	ADV
cuesj-388	71	26	describe	describe	VERB
cuesj-388	71	27	the	the	DET
cuesj-388	71	28	gained	gain	VERB
cuesj-388	71	29	classification	classification	NOUN
cuesj-388	71	30	models	model	NOUN
cuesj-388	71	31	and	and	CCONJ
cuesj-388	71	32	understand	understand	VERB
cuesj-388	71	33	which	which	PRON
cuesj-388	71	34	data	datum	NOUN
cuesj-388	71	35	classes	class	NOUN
cuesj-388	71	36	are	be	AUX
cuesj-388	71	37	most	most	ADV
cuesj-388	71	38	often	often	ADV
cuesj-388	71	39	misplaced	misplace	VERB
cuesj-388	71	40	when	when	SCONJ
cuesj-388	71	41	it	it	PRON
cuesj-388	71	42	makes	make	VERB
cuesj-388	71	43	a	a	DET
cuesj-388	71	44	prediction	prediction	NOUN
cuesj-388	71	45	.	.	PUNCT
cuesj-388	72	1	each	each	DET
cuesj-388	72	2	column	column	NOUN
cuesj-388	72	3	of	of	ADP
cuesj-388	72	4	the	the	DET
cuesj-388	72	5	matrix	matrix	NOUN
cuesj-388	72	6	corresponds	correspond	VERB
cuesj-388	72	7	to	to	ADP
cuesj-388	72	8	a	a	DET
cuesj-388	72	9	predicted	predict	VERB
cuesj-388	72	10	classes	class	NOUN
cuesj-388	72	11	and	and	CCONJ
cuesj-388	72	12	the	the	DET
cuesj-388	72	13	row	row	NOUN
cuesj-388	72	14	represents	represent	VERB
cuesj-388	72	15	the	the	DET
cuesj-388	72	16	actual	actual	ADJ
cuesj-388	72	17	classes	class	NOUN
cuesj-388	72	18	.	.	PUNCT
cuesj-388	73	1	the	the	DET
cuesj-388	73	2	number	number	NOUN
cuesj-388	73	3	of	of	ADP
cuesj-388	73	4	incorrect	incorrect	ADJ
cuesj-388	73	5	and	and	CCONJ
cuesj-388	73	6	correct	correct	ADJ
cuesj-388	73	7	predictions	prediction	NOUN
cuesj-388	73	8	is	be	AUX
cuesj-388	73	9	summarized	summarize	VERB
cuesj-388	73	10	with	with	ADP
cuesj-388	73	11	count	count	NOUN
cuesj-388	73	12	values	value	NOUN
cuesj-388	73	13	.	.	PUNCT
cuesj-388	74	1	the	the	DET
cuesj-388	74	2	system	system	NOUN
cuesj-388	74	3	scores	score	VERB
cuesj-388	74	4	perfectly	perfectly	ADV
cuesj-388	74	5	when	when	SCONJ
cuesj-388	74	6	all	all	DET
cuesj-388	74	7	the	the	DET
cuesj-388	74	8	classified	classified	ADJ
cuesj-388	74	9	rates	rate	NOUN
cuesj-388	74	10	locate	locate	VERB
cuesj-388	74	11	at	at	ADP
cuesj-388	74	12	the	the	DET
cuesj-388	74	13	diagonal	diagonal	ADJ
cuesj-388	74	14	position	position	NOUN
cuesj-388	74	15	of	of	ADP
cuesj-388	74	16	the	the	DET
cuesj-388	74	17	matrix	matrix	NOUN
cuesj-388	74	18	.	.	PUNCT
cuesj-388	75	1	if	if	SCONJ
cuesj-388	75	2	any	any	DET
cuesj-388	75	3	data	data	NOUN
cuesj-388	75	4	is	be	AUX
cuesj-388	75	5	misclassified	misclassifie	VERB
cuesj-388	75	6	,	,	PUNCT
cuesj-388	75	7	the	the	DET
cuesj-388	75	8	values	value	NOUN
cuesj-388	75	9	have	have	AUX
cuesj-388	75	10	deviated	deviate	VERB
cuesj-388	75	11	from	from	ADP
cuesj-388	75	12	diagonal	diagonal	ADJ
cuesj-388	75	13	cells.[24,25	cells.[24,25	PROPN
cuesj-388	75	14	]	]	PUNCT
cuesj-388	75	15	finally	finally	ADV
cuesj-388	75	16	,	,	PUNCT
cuesj-388	75	17	the	the	DET
cuesj-388	75	18	performance	performance	NOUN
cuesj-388	75	19	of	of	ADP
cuesj-388	75	20	the	the	DET
cuesj-388	75	21	model	model	NOUN
cuesj-388	75	22	was	be	AUX
cuesj-388	75	23	calculated	calculate	VERB
cuesj-388	75	24	using	use	VERB
cuesj-388	75	25	following	follow	VERB
cuesj-388	75	26	performance	performance	NOUN
cuesj-388	75	27	measurement	measurement	NOUN
cuesj-388	75	28	equations	equation	NOUN
cuesj-388	75	29	:	:	PUNCT
cuesj-388	75	30	accuracy=	accuracy=	NUM
cuesj-388	75	31	(	(	PUNCT
cuesj-388	75	32	tp+tn)/(tp+tn+fp+fn	tp+tn)/(tp+tn+fp+fn	NOUN
cuesj-388	75	33	)	)	PUNCT
cuesj-388	75	34	(	(	PUNCT
cuesj-388	75	35	6	6	NUM
cuesj-388	75	36	)	)	PUNCT
cuesj-388	75	37	sensitivity=	sensitivity=	NUM
cuesj-388	75	38	tp/(tp+fn	tp/(tp+fn	NOUN
cuesj-388	75	39	)	)	PUNCT
cuesj-388	75	40	(	(	PUNCT
cuesj-388	75	41	7	7	X
cuesj-388	75	42	)	)	PUNCT
cuesj-388	75	43	specificity=	specificity=	NUM
cuesj-388	75	44	tn/(tn+fp	tn/(tn+fp	PROPN
cuesj-388	75	45	)	)	PUNCT
cuesj-388	75	46	(	(	PUNCT
cuesj-388	75	47	8)	8)	NUM
cuesj-388	75	48	precision=	precision=	NUM
cuesj-388	75	49	tp/(tp+fp	tp/(tp+fp	NOUN
cuesj-388	75	50	)	)	PUNCT
cuesj-388	75	51	(	(	PUNCT
cuesj-388	75	52	9	9	X
cuesj-388	75	53	)	)	PUNCT
cuesj-388	75	54	results	result	NOUN
cuesj-388	75	55	and	and	CCONJ
cuesj-388	75	56	discussion	discussion	NOUN
cuesj-388	75	57	all	all	DET
cuesj-388	75	58	the	the	DET
cuesj-388	75	59	analysis	analysis	NOUN
cuesj-388	75	60	was	be	AUX
cuesj-388	75	61	done	do	VERB
cuesj-388	75	62	in	in	ADP
cuesj-388	75	63	matlab	matlab	PROPN
cuesj-388	75	64	2016	2016	NUM
cuesj-388	75	65	software	software	NOUN
cuesj-388	75	66	with	with	ADP
cuesj-388	75	67	intel	intel	PROPN
cuesj-388	75	68	core	core	PROPN
cuesj-388	75	69	i5	i5	PROPN
cuesj-388	75	70	,	,	PUNCT
cuesj-388	75	71	2.4	2.4	NUM
cuesj-388	75	72	ghz	ghz	NOUN
cuesj-388	75	73	,	,	PUNCT
cuesj-388	75	74	and	and	CCONJ
cuesj-388	75	75	6	6	NUM
cuesj-388	75	76	gb	gb	NOUN
cuesj-388	75	77	ram	ram	NOUN
cuesj-388	75	78	.	.	PUNCT
cuesj-388	76	1	the	the	DET
cuesj-388	76	2	analysis	analysis	NOUN
cuesj-388	76	3	of	of	ADP
cuesj-388	76	4	image	image	NOUN
cuesj-388	76	5	preprocessing	preprocesse	VERB
cuesj-388	76	6	outcomes	outcome	NOUN
cuesj-388	76	7	is	be	AUX
cuesj-388	76	8	shown	show	VERB
cuesj-388	76	9	in	in	ADP
cuesj-388	76	10	figures	figure	NOUN
cuesj-388	76	11	3	3	NUM
cuesj-388	76	12	and	and	CCONJ
cuesj-388	76	13	4	4	NUM
cuesj-388	76	14	.	.	X
cuesj-388	76	15	eight	eight	NUM
cuesj-388	76	16	neighbor	neighbor	NOUN
cuesj-388	76	17	points	point	NOUN
cuesj-388	76	18	(	(	PUNCT
cuesj-388	76	19	p	p	X
cuesj-388	76	20	=	=	SYM
cuesj-388	76	21	8)	8)	NUM
cuesj-388	76	22	with	with	ADP
cuesj-388	76	23	central	central	ADJ
cuesj-388	76	24	radius	radius	NOUN
cuesj-388	76	25	(	(	PUNCT
cuesj-388	76	26	r=1	r=1	NOUN
cuesj-388	76	27	)	)	PUNCT
cuesj-388	76	28	are	be	AUX
cuesj-388	76	29	applied	apply	VERB
cuesj-388	76	30	with	with	ADP
cuesj-388	76	31	uniform	uniform	ADJ
cuesj-388	76	32	patterns	pattern	NOUN
cuesj-388	76	33	;	;	PUNCT
cuesj-388	76	34	hence	hence	ADV
cuesj-388	76	35	,	,	PUNCT
cuesj-388	76	36	the	the	DET
cuesj-388	76	37	feature	feature	NOUN
cuesj-388	76	38	vector	vector	NOUN
cuesj-388	76	39	length	length	NOUN
cuesj-388	76	40	reduces	reduce	VERB
cuesj-388	76	41	from	from	ADP
cuesj-388	76	42	256	256	NUM
cuesj-388	76	43	gray	gray	ADJ
cuesj-388	76	44	scale	scale	NOUN
cuesj-388	76	45	to	to	ADP
cuesj-388	76	46	59	59	NUM
cuesj-388	76	47	binary	binary	ADJ
cuesj-388	76	48	patterns	pattern	NOUN
cuesj-388	76	49	.	.	PUNCT
cuesj-388	77	1	among	among	ADP
cuesj-388	77	2	59	59	NUM
cuesj-388	77	3	lbp	lbp	NOUN
cuesj-388	77	4	extracted	extract	VERB
cuesj-388	77	5	features	feature	NOUN
cuesj-388	77	6	,	,	PUNCT
cuesj-388	77	7	only	only	ADV
cuesj-388	77	8	20	20	NUM
cuesj-388	77	9	features	feature	NOUN
cuesj-388	77	10	were	be	AUX
cuesj-388	77	11	remained	remain	VERB
cuesj-388	77	12	by	by	ADP
cuesj-388	77	13	bpso	bpso	NOUN
cuesj-388	77	14	feature	feature	NOUN
cuesj-388	77	15	selection	selection	NOUN
cuesj-388	77	16	which	which	PRON
cuesj-388	77	17	is	be	AUX
cuesj-388	77	18	statistically	statistically	ADV
cuesj-388	77	19	significant	significant	ADJ
cuesj-388	77	20	in	in	ADP
cuesj-388	77	21	medical	medical	ADJ
cuesj-388	77	22	imaging	imaging	NOUN
cuesj-388	77	23	and	and	CCONJ
cuesj-388	77	24	other	other	ADJ
cuesj-388	77	25	irrelevant	irrelevant	ADJ
cuesj-388	77	26	features	feature	NOUN
cuesj-388	77	27	were	be	AUX
cuesj-388	77	28	canceled	cancel	VERB
cuesj-388	77	29	from	from	ADP
cuesj-388	77	30	the	the	DET
cuesj-388	77	31	feature	feature	NOUN
cuesj-388	77	32	vector	vector	NOUN
cuesj-388	77	33	.	.	PUNCT
cuesj-388	78	1	the	the	DET
cuesj-388	78	2	best	good	ADJ
cuesj-388	78	3	solution	solution	NOUN
cuesj-388	78	4	achieved	achieve	VERB
cuesj-388	78	5	by	by	ADP
cuesj-388	78	6	the	the	DET
cuesj-388	78	7	objective	objective	ADJ
cuesj-388	78	8	function	function	NOUN
cuesj-388	78	9	in	in	ADP
cuesj-388	78	10	bpso	bpso	NOUN
cuesj-388	78	11	is	be	AUX
cuesj-388	78	12	0.87	0.87	NUM
cuesj-388	78	13	[	[	NOUN
cuesj-388	78	14	figure	figure	NOUN
cuesj-388	78	15	5	5	NUM
cuesj-388	78	16	]	]	PUNCT
cuesj-388	78	17	.	.	PUNCT
cuesj-388	79	1	in	in	ADP
cuesj-388	79	2	table	table	NOUN
cuesj-388	79	3	2	2	NUM
cuesj-388	79	4	,	,	PUNCT
cuesj-388	79	5	the	the	DET
cuesj-388	79	6	performance	performance	NOUN
cuesj-388	79	7	measurements	measurement	NOUN
cuesj-388	79	8	comparison	comparison	NOUN
cuesj-388	79	9	is	be	AUX
cuesj-388	79	10	represented	represent	VERB
cuesj-388	79	11	applying	apply	VERB
cuesj-388	79	12	different	different	ADJ
cuesj-388	79	13	functions	function	NOUN
cuesj-388	79	14	(	(	PUNCT
cuesj-388	79	15	linear	linear	ADJ
cuesj-388	79	16	,	,	PUNCT
cuesj-388	79	17	polynomial	polynomial	ADJ
cuesj-388	79	18	,	,	PUNCT
cuesj-388	79	19	gaussian	gaussian	NOUN
cuesj-388	79	20	)	)	PUNCT
cuesj-388	79	21	for	for	ADP
cuesj-388	79	22	svm	svm	PROPN
cuesj-388	79	23	and	and	CCONJ
cuesj-388	79	24	(	(	PUNCT
cuesj-388	79	25	fine	fine	ADJ
cuesj-388	79	26	,	,	PUNCT
cuesj-388	79	27	cubic	cubic	ADJ
cuesj-388	79	28	,	,	PUNCT
cuesj-388	79	29	weighted	weighted	ADJ
cuesj-388	79	30	)	)	PUNCT
cuesj-388	79	31	knn	knn	PROPN
cuesj-388	79	32	.	.	PROPN
cuesj-388	80	1	for	for	ADP
cuesj-388	80	2	passed	pass	VERB
cuesj-388	80	3	features	feature	NOUN
cuesj-388	80	4	dataset	dataset	VERB
cuesj-388	80	5	,	,	PUNCT
cuesj-388	80	6	the	the	DET
cuesj-388	80	7	svm	svm	PROPN
cuesj-388	80	8	(	(	PUNCT
cuesj-388	80	9	gaussian	gaussian	ADJ
cuesj-388	80	10	)	)	PUNCT
cuesj-388	80	11	classifier	classifier	NOUN
cuesj-388	80	12	achieves	achieve	VERB
cuesj-388	80	13	the	the	DET
cuesj-388	80	14	best	good	ADJ
cuesj-388	80	15	accuracy	accuracy	NOUN
cuesj-388	80	16	94.6	94.6	NUM
cuesj-388	80	17	%	%	NOUN
cuesj-388	80	18	,	,	PUNCT
cuesj-388	80	19	sensitivity	sensitivity	NOUN
cuesj-388	80	20	96.2	96.2	NUM
cuesj-388	80	21	%	%	NOUN
cuesj-388	80	22	,	,	PUNCT
cuesj-388	80	23	specificity	specificity	NOUN
cuesj-388	80	24	93	93	NUM
cuesj-388	80	25	%	%	NOUN
cuesj-388	80	26	,	,	PUNCT
cuesj-388	80	27	and	and	CCONJ
cuesj-388	80	28	precision	precision	NOUN
cuesj-388	80	29	92.7	92.7	NUM
cuesj-388	80	30	%	%	NOUN
cuesj-388	80	31	.	.	PUNCT
cuesj-388	81	1	the	the	DET
cuesj-388	81	2	performance	performance	NOUN
cuesj-388	81	3	measurements	measurement	NOUN
cuesj-388	81	4	are	be	AUX
cuesj-388	81	5	calculated	calculate	VERB
cuesj-388	81	6	by	by	ADP
cuesj-388	81	7	applying	apply	VERB
cuesj-388	81	8	eq	eq	ADP
cuesj-388	81	9	.	.	PUNCT
cuesj-388	82	1	(	(	PUNCT
cuesj-388	82	2	6	6	NUM
cuesj-388	82	3	)	)	PUNCT
cuesj-388	82	4	to	to	ADP
cuesj-388	82	5	eq	eq	NOUN
cuesj-388	82	6	.	.	PUNCT
cuesj-388	83	1	(	(	PUNCT
cuesj-388	83	2	9	9	NUM
cuesj-388	83	3	)	)	PUNCT
cuesj-388	83	4	.	.	PUNCT
cuesj-388	84	1	the	the	DET
cuesj-388	84	2	confusion	confusion	NOUN
cuesj-388	84	3	matrix	matrix	NOUN
cuesj-388	84	4	of	of	ADP
cuesj-388	84	5	the	the	DET
cuesj-388	84	6	proposed	propose	VERB
cuesj-388	84	7	method	method	NOUN
cuesj-388	84	8	is	be	AUX
cuesj-388	84	9	tabulated	tabulate	VERB
cuesj-388	84	10	in	in	ADP
cuesj-388	84	11	table	table	NOUN
cuesj-388	84	12	3	3	NUM
cuesj-388	84	13	.	.	PUNCT
cuesj-388	85	1	in	in	ADP
cuesj-388	85	2	figure	figure	NOUN
cuesj-388	85	3	6	6	NUM
cuesj-388	85	4	,	,	PUNCT
cuesj-388	85	5	the	the	DET
cuesj-388	85	6	performance	performance	NOUN
cuesj-388	85	7	measurements	measurement	NOUN
cuesj-388	85	8	comparison	comparison	NOUN
cuesj-388	85	9	is	be	AUX
cuesj-388	85	10	represented	represent	VERB
cuesj-388	85	11	applying	apply	VERB
cuesj-388	85	12	different	different	ADJ
cuesj-388	85	13	functions	function	NOUN
cuesj-388	85	14	(	(	PUNCT
cuesj-388	85	15	linear	linear	ADJ
cuesj-388	85	16	,	,	PUNCT
cuesj-388	85	17	polynomial	polynomial	ADJ
cuesj-388	85	18	,	,	PUNCT
cuesj-388	85	19	and	and	CCONJ
cuesj-388	85	20	gaussian	gaussian	NOUN
cuesj-388	85	21	)	)	PUNCT
cuesj-388	85	22	for	for	ADP
cuesj-388	85	23	svm	svm	PROPN
cuesj-388	85	24	and	and	CCONJ
cuesj-388	85	25	(	(	PUNCT
cuesj-388	85	26	fine	fine	ADJ
cuesj-388	85	27	,	,	PUNCT
cuesj-388	85	28	cubic	cubic	ADJ
cuesj-388	85	29	,	,	PUNCT
cuesj-388	85	30	weighted	weighted	ADJ
cuesj-388	85	31	)	)	PUNCT
cuesj-388	85	32	knn	knn	PROPN
cuesj-388	85	33	.	.	PUNCT
cuesj-388	86	1	the	the	DET
cuesj-388	86	2	passed	pass	VERB
cuesj-388	86	3	features	feature	NOUN
cuesj-388	86	4	dataset	dataset	PROPN
cuesj-388	86	5	,	,	PUNCT
cuesj-388	86	6	the	the	DET
cuesj-388	86	7	svm	svm	PROPN
cuesj-388	86	8	(	(	PUNCT
cuesj-388	86	9	gaussian	gaussian	ADJ
cuesj-388	86	10	)	)	PUNCT
cuesj-388	86	11	classifier	classifier	NOUN
cuesj-388	86	12	achieves	achieve	VERB
cuesj-388	86	13	the	the	DET
cuesj-388	86	14	best	good	ADJ
cuesj-388	86	15	accuracy	accuracy	NOUN
cuesj-388	86	16	94.6	94.6	NUM
cuesj-388	86	17	%	%	NOUN
cuesj-388	86	18	,	,	PUNCT
cuesj-388	86	19	sensitivity	sensitivity	NOUN
cuesj-388	86	20	96.2	96.2	NUM
cuesj-388	86	21	%	%	NOUN
cuesj-388	86	22	,	,	PUNCT
cuesj-388	86	23	specificity	specificity	NOUN
cuesj-388	86	24	93	93	NUM
cuesj-388	86	25	%	%	NOUN
cuesj-388	86	26	,	,	PUNCT
cuesj-388	86	27	and	and	CCONJ
cuesj-388	86	28	precision	precision	NOUN
cuesj-388	86	29	92.7	92.7	NUM
cuesj-388	86	30	%	%	NOUN
cuesj-388	86	31	.	.	PUNCT
cuesj-388	87	1	the	the	DET
cuesj-388	87	2	performance	performance	NOUN
cuesj-388	87	3	measurements	measurement	NOUN
cuesj-388	87	4	are	be	AUX
cuesj-388	87	5	calculated	calculate	VERB
cuesj-388	87	6	by	by	ADP
cuesj-388	87	7	applying	apply	VERB
cuesj-388	87	8	eq	eq	ADP
cuesj-388	87	9	.	.	PUNCT
cuesj-388	88	1	(	(	PUNCT
cuesj-388	88	2	6	6	NUM
cuesj-388	88	3	)	)	PUNCT
cuesj-388	88	4	to	to	ADP
cuesj-388	88	5	eq	eq	NOUN
cuesj-388	88	6	.	.	PUNCT
cuesj-388	89	1	(	(	PUNCT
cuesj-388	89	2	9	9	NUM
cuesj-388	89	3	)	)	PUNCT
cuesj-388	89	4	.	.	PUNCT
cuesj-388	90	1	the	the	DET
cuesj-388	90	2	confusion	confusion	NOUN
cuesj-388	90	3	matrix	matrix	NOUN
cuesj-388	90	4	of	of	ADP
cuesj-388	90	5	the	the	DET
cuesj-388	90	6	proposed	propose	VERB
cuesj-388	90	7	method	method	NOUN
cuesj-388	90	8	is	be	AUX
cuesj-388	90	9	tabulated	tabulate	VERB
cuesj-388	90	10	in	in	ADP
cuesj-388	90	11	table	table	NOUN
cuesj-388	90	12	2	2	NUM
cuesj-388	90	13	below	below	ADV
cuesj-388	90	14	.	.	PUNCT
cuesj-388	91	1	figure	figure	NOUN
cuesj-388	91	2	6	6	NUM
cuesj-388	91	3	represents	represent	VERB
cuesj-388	91	4	the	the	DET
cuesj-388	91	5	bar	bar	NOUN
cuesj-388	91	6	graph	graph	NOUN
cuesj-388	91	7	to	to	PART
cuesj-388	91	8	depict	depict	VERB
cuesj-388	91	9	the	the	DET
cuesj-388	91	10	comparison	comparison	NOUN
cuesj-388	91	11	between	between	ADP
cuesj-388	91	12	the	the	DET
cuesj-388	91	13	performance	performance	NOUN
cuesj-388	91	14	parameters	parameter	NOUN
cuesj-388	91	15	of	of	ADP
cuesj-388	91	16	average	average	ADJ
cuesj-388	91	17	specificity	specificity	NOUN
cuesj-388	91	18	,	,	PUNCT
cuesj-388	91	19	table	table	NOUN
cuesj-388	91	20	2	2	NUM
cuesj-388	91	21	:	:	PUNCT
cuesj-388	91	22	confusion	confusion	NOUN
cuesj-388	91	23	matrix	matrix	NOUN
cuesj-388	91	24	representation	representation	NOUN
cuesj-388	91	25	gaussian	gaussian	ADJ
cuesj-388	91	26	support	support	NOUN
cuesj-388	91	27	vector	vector	NOUN
cuesj-388	91	28	machine	machine	NOUN
cuesj-388	91	29	classification	classification	NOUN
cuesj-388	91	30	after	after	SCONJ
cuesj-388	91	31	ten	ten	ADJ
cuesj-388	91	32	-	-	ADJ
cuesj-388	91	33	fold	fold	ADJ
cuesj-388	91	34	cross	cross	ADJ
cuesj-388	91	35	-	-	ADJ
cuesj-388	91	36	validation	validation	ADJ
cuesj-388	91	37	actual	actual	ADJ
cuesj-388	91	38	case	case	NOUN
cuesj-388	91	39	predicted	predict	VERB
cuesj-388	91	40	case	case	NOUN
cuesj-388	91	41	51	51	NUM
cuesj-388	91	42	4	4	NUM
cuesj-388	91	43	55	55	NUM
cuesj-388	91	44	2	2	NUM
cuesj-388	91	45	53	53	NUM
cuesj-388	91	46	55	55	NUM
cuesj-388	91	47	53	53	NUM
cuesj-388	91	48	47	47	NUM
cuesj-388	91	49	110	110	NUM
cuesj-388	91	50	figure	figure	NOUN
cuesj-388	91	51	2	2	NUM
cuesj-388	91	52	:	:	PUNCT
cuesj-388	91	53	local	local	ADJ
cuesj-388	91	54	binary	binary	ADJ
cuesj-388	91	55	pattern	pattern	NOUN
cuesj-388	91	56	process	process	NOUN
cuesj-388	91	57	over	over	ADP
cuesj-388	91	58	gray	gray	ADJ
cuesj-388	91	59	scale	scale	NOUN
cuesj-388	91	60	pixels	pixel	NOUN
cuesj-388	91	61	with	with	ADP
cuesj-388	91	62	radius	radius	NOUN
cuesj-388	91	63	(	(	PUNCT
cuesj-388	91	64	r=1	r=1	NOUN
cuesj-388	91	65	)	)	PUNCT
cuesj-388	91	66	and	and	CCONJ
cuesj-388	91	67	8	8	NUM
cuesj-388	91	68	neighbor	neighbor	NOUN
cuesj-388	91	69	pixels	pixel	NOUN
cuesj-388	91	70	(	(	PUNCT
cuesj-388	91	71	a	a	X
cuesj-388	91	72	)	)	PUNCT
cuesj-388	91	73	observed	observed	ADJ
cuesj-388	91	74	pixel	pixel	NOUN
cuesj-388	91	75	of	of	ADP
cuesj-388	91	76	gray	gray	ADJ
cuesj-388	91	77	scale	scale	NOUN
cuesj-388	91	78	image	image	NOUN
cuesj-388	91	79	(	(	PUNCT
cuesj-388	91	80	b	b	NOUN
cuesj-388	91	81	)	)	PUNCT
cuesj-388	91	82	binary	binary	NOUN
cuesj-388	91	83	encode	encode	NOUN
cuesj-388	91	84	between	between	ADP
cuesj-388	91	85	the	the	DET
cuesj-388	91	86	center	center	NOUN
cuesj-388	91	87	pixel	pixel	NOUN
cuesj-388	91	88	and	and	CCONJ
cuesj-388	91	89	its	its	PRON
cuesj-388	91	90	neighbors	neighbor	NOUN
cuesj-388	91	91	(	(	PUNCT
cuesj-388	91	92	c	c	X
cuesj-388	91	93	)	)	PUNCT
cuesj-388	91	94	lbp	lbp	PROPN
cuesj-388	91	95	string	string	NOUN
cuesj-388	91	96	value	value	NOUN
cuesj-388	91	97	and	and	CCONJ
cuesj-388	91	98	converted	convert	VERB
cuesj-388	91	99	from	from	ADP
cuesj-388	91	100	binary	binary	NOUN
cuesj-388	91	101	to	to	PART
cuesj-388	91	102	decimal	decimal	VERB
cuesj-388	91	103	a	a	DET
cuesj-388	91	104	b	b	NOUN
cuesj-388	91	105	c	c	X
cuesj-388	91	106	figure	figure	NOUN
cuesj-388	91	107	3	3	NUM
cuesj-388	91	108	:	:	PUNCT
cuesj-388	91	109	results	result	NOUN
cuesj-388	91	110	of	of	ADP
cuesj-388	91	111	affecting	affect	VERB
cuesj-388	91	112	pre	pre	ADJ
cuesj-388	91	113	-	-	ADJ
cuesj-388	91	114	processing	processing	ADJ
cuesj-388	91	115	filters	filter	NOUN
cuesj-388	91	116	on	on	ADP
cuesj-388	91	117	covid-19	covid-19	PROPN
cuesj-388	91	118	cxr	cxr	NOUN
cuesj-388	91	119	images	image	NOUN
cuesj-388	91	120	(	(	PUNCT
cuesj-388	91	121	a	a	X
cuesj-388	91	122	)	)	PUNCT
cuesj-388	91	123	original	original	ADJ
cuesj-388	91	124	resized	resize	VERB
cuesj-388	91	125	image	image	NOUN
cuesj-388	91	126	(	(	PUNCT
cuesj-388	91	127	b	b	NOUN
cuesj-388	91	128	)	)	PUNCT
cuesj-388	91	129	image	image	NOUN
cuesj-388	91	130	denoising	denoising	NOUN
cuesj-388	91	131	using	use	VERB
cuesj-388	91	132	gaussian	gaussian	ADJ
cuesj-388	91	133	filter	filter	NOUN
cuesj-388	91	134	(	(	PUNCT
cuesj-388	91	135	c	c	NOUN
cuesj-388	91	136	)	)	PUNCT
cuesj-388	91	137	image	image	NOUN
cuesj-388	91	138	enhancement	enhancement	NOUN
cuesj-388	91	139	using	use	VERB
cuesj-388	91	140	adaptive	adaptive	ADJ
cuesj-388	91	141	histogram	histogram	NOUN
cuesj-388	91	142	equalization	equalization	PROPN
cuesj-388	91	143	b	b	PROPN
cuesj-388	91	144	ca	ca	PROPN
cuesj-388	91	145	mohammed	mohammed	PROPN
cuesj-388	91	146	,	,	PUNCT
cuesj-388	91	147	et	et	PROPN
cuesj-388	91	148	al	al	PROPN
cuesj-388	91	149	.	.	PUNCT
cuesj-388	91	150	:	:	PUNCT
cuesj-388	92	1	covid-19	covid-19	PROPN
cuesj-388	92	2	chest	chest	NOUN
cuesj-388	92	3	x	x	NOUN
cuesj-388	92	4	-	-	NOUN
cuesj-388	92	5	ray	ray	NOUN
cuesj-388	92	6	images	image	NOUN
cuesj-388	92	7	50	50	NUM
cuesj-388	92	8	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-388	92	9	cuesj	cuesj	ADJ
cuesj-388	92	10	2021	2021	NUM
cuesj-388	92	11	,	,	PUNCT
cuesj-388	92	12	5	5	NUM
cuesj-388	92	13	(	(	PUNCT
cuesj-388	92	14	2	2	NUM
cuesj-388	92	15	):	):	PUNCT
cuesj-388	92	16	46	46	NUM
cuesj-388	92	17	-	-	SYM
cuesj-388	92	18	51	51	NUM
cuesj-388	92	19	table	table	NOUN
cuesj-388	92	20	3	3	NUM
cuesj-388	92	21	:	:	PUNCT
cuesj-388	92	22	summarizes	summarize	NOUN
cuesj-388	92	23	of	of	ADP
cuesj-388	92	24	classification	classification	NOUN
cuesj-388	92	25	results	result	NOUN
cuesj-388	92	26	after	after	ADP
cuesj-388	92	27	calculation	calculation	NOUN
cuesj-388	92	28	average	average	ADJ
cuesj-388	92	29	accuracy	accuracy	NOUN
cuesj-388	92	30	,	,	PUNCT
cuesj-388	92	31	sensitivity	sensitivity	NOUN
cuesj-388	92	32	,	,	PUNCT
cuesj-388	92	33	specificity	specificity	NOUN
cuesj-388	92	34	,	,	PUNCT
cuesj-388	92	35	and	and	CCONJ
cuesj-388	92	36	precision	precision	NOUN
cuesj-388	92	37	from	from	ADP
cuesj-388	92	38	the	the	DET
cuesj-388	92	39	confusion	confusion	NOUN
cuesj-388	92	40	matrices	matrix	NOUN
cuesj-388	92	41	classifiers	classifier	NOUN
cuesj-388	92	42	type	type	NOUN
cuesj-388	92	43	accuracy	accuracy	NOUN
cuesj-388	92	44	(	(	PUNCT
cuesj-388	92	45	%	%	INTJ
cuesj-388	92	46	)	)	PUNCT
cuesj-388	92	47	sensitivity	sensitivity	NOUN
cuesj-388	92	48	(	(	PUNCT
cuesj-388	92	49	%	%	INTJ
cuesj-388	92	50	)	)	PUNCT
cuesj-388	92	51	specificity	specificity	NOUN
cuesj-388	92	52	(	(	PUNCT
cuesj-388	92	53	%	%	INTJ
cuesj-388	92	54	)	)	PUNCT
cuesj-388	92	55	precision	precision	NOUN
cuesj-388	92	56	(	(	PUNCT
cuesj-388	92	57	%	%	INTJ
cuesj-388	92	58	)	)	PUNCT
cuesj-388	92	59	knn	knn	PROPN
cuesj-388	93	1	fine	fine	ADJ
cuesj-388	93	2	90.9	90.9	NUM
cuesj-388	93	3	86.9	86.9	NUM
cuesj-388	93	4	95.9	95.9	NUM
cuesj-388	93	5	96.4	96.4	NUM
cuesj-388	93	6	cubic	cubic	NOUN
cuesj-388	93	7	84.5	84.5	NUM
cuesj-388	93	8	83.9	83.9	NUM
cuesj-388	93	9	93.2	93.2	NUM
cuesj-388	93	10	94.5	94.5	NUM
cuesj-388	94	1	weighted	weight	VERB
cuesj-388	94	2	93.6	93.6	NUM
cuesj-388	94	3	92.9	92.9	NUM
cuesj-388	94	4	94.4	94.4	NUM
cuesj-388	94	5	94.5	94.5	NUM
cuesj-388	94	6	svm	svm	NOUN
cuesj-388	94	7	linear	linear	PROPN
cuesj-388	94	8	91.8	91.8	NUM
cuesj-388	94	9	77.9	77.9	NUM
cuesj-388	94	10	82.4	82.4	NUM
cuesj-388	94	11	76.4	76.4	NUM
cuesj-388	94	12	polynomial	polynomial	ADJ
cuesj-388	94	13	92.7	92.7	NUM
cuesj-388	94	14	94.3	94.3	NUM
cuesj-388	94	15	82.4	82.4	NUM
cuesj-388	94	16	94.5	94.5	NUM
cuesj-388	94	17	gaussian	gaussian	NOUN
cuesj-388	94	18	94.6	94.6	NUM
cuesj-388	94	19	96.2	96.2	NUM
cuesj-388	94	20	93	93	NUM
cuesj-388	94	21	92.7	92.7	NUM
cuesj-388	94	22	sensitivity	sensitivity	NOUN
cuesj-388	94	23	,	,	PUNCT
cuesj-388	94	24	and	and	CCONJ
cuesj-388	94	25	precision	precision	NOUN
cuesj-388	94	26	values	value	NOUN
cuesj-388	94	27	achieved	achieve	VERB
cuesj-388	94	28	by	by	ADP
cuesj-388	94	29	weighted	weight	VERB
cuesj-388	94	30	knn	knn	PROPN
cuesj-388	94	31	and	and	CCONJ
cuesj-388	94	32	gaussian	gaussian	PROPN
cuesj-388	94	33	svm	svm	PROPN
cuesj-388	94	34	.	.	PROPN
cuesj-388	94	35	for	for	ADP
cuesj-388	94	36	sake	sake	NOUN
cuesj-388	94	37	of	of	ADP
cuesj-388	94	38	a	a	DET
cuesj-388	94	39	fair	fair	ADJ
cuesj-388	94	40	comparison	comparison	NOUN
cuesj-388	94	41	between	between	ADP
cuesj-388	94	42	proposed	propose	VERB
cuesj-388	94	43	work	work	NOUN
cuesj-388	94	44	and	and	CCONJ
cuesj-388	94	45	the	the	DET
cuesj-388	94	46	work	work	NOUN
cuesj-388	94	47	presented	present	VERB
cuesj-388	94	48	in	in	ADP
cuesj-388	94	49	baity[26	baity[26	NOUN
cuesj-388	94	50	]	]	PUNCT
cuesj-388	94	51	this	this	DET
cuesj-388	94	52	research	research	NOUN
cuesj-388	94	53	did	do	AUX
cuesj-388	94	54	not	not	PART
cuesj-388	94	55	use	use	VERB
cuesj-388	94	56	any	any	DET
cuesj-388	94	57	feature	feature	NOUN
cuesj-388	94	58	selection	selection	NOUN
cuesj-388	94	59	algorithm	algorithm	NOUN
cuesj-388	94	60	whereas	whereas	SCONJ
cuesj-388	94	61	in	in	ADP
cuesj-388	94	62	the	the	DET
cuesj-388	94	63	proposed	propose	VERB
cuesj-388	94	64	work	work	NOUN
cuesj-388	94	65	an	an	DET
cuesj-388	94	66	intelligent	intelligent	ADJ
cuesj-388	94	67	feature	feature	NOUN
cuesj-388	94	68	selection	selection	NOUN
cuesj-388	94	69	strategy	strategy	NOUN
cuesj-388	94	70	has	have	AUX
cuesj-388	94	71	been	be	AUX
cuesj-388	94	72	used	use	VERB
cuesj-388	94	73	which	which	PRON
cuesj-388	94	74	is	be	AUX
cuesj-388	94	75	based	base	VERB
cuesj-388	94	76	on	on	ADP
cuesj-388	94	77	a	a	DET
cuesj-388	94	78	practical	practical	ADJ
cuesj-388	94	79	swarm	swarm	NOUN
cuesj-388	94	80	optimization	optimization	NOUN
cuesj-388	94	81	(	(	PUNCT
cuesj-388	94	82	bio	bio	NOUN
cuesj-388	94	83	-	-	PUNCT
cuesj-388	94	84	inspired	inspire	VERB
cuesj-388	94	85	technique	technique	NOUN
cuesj-388	94	86	)	)	PUNCT
cuesj-388	94	87	,	,	PUNCT
cuesj-388	94	88	which	which	PRON
cuesj-388	94	89	is	be	AUX
cuesj-388	94	90	served	serve	VERB
cuesj-388	94	91	as	as	ADP
cuesj-388	94	92	effective	effective	ADJ
cuesj-388	94	93	tool	tool	NOUN
cuesj-388	94	94	to	to	PART
cuesj-388	94	95	filter	filter	VERB
cuesj-388	94	96	out	out	ADP
cuesj-388	94	97	all	all	DET
cuesj-388	94	98	irrelevant	irrelevant	ADJ
cuesj-388	94	99	features	feature	NOUN
cuesj-388	94	100	before	before	ADP
cuesj-388	94	101	classification	classification	NOUN
cuesj-388	94	102	stage	stage	NOUN
cuesj-388	94	103	.	.	PUNCT
cuesj-388	95	1	in	in	ADP
cuesj-388	95	2	addition	addition	NOUN
cuesj-388	95	3	,	,	PUNCT
cuesj-388	95	4	two	two	NUM
cuesj-388	95	5	this	this	DET
cuesj-388	95	6	work	work	NOUN
cuesj-388	95	7	proposed	propose	VERB
cuesj-388	95	8	two	two	NUM
cuesj-388	95	9	types	type	NOUN
cuesj-388	95	10	of	of	ADP
cuesj-388	95	11	classifiers	classifier	NOUN
cuesj-388	95	12	(	(	PUNCT
cuesj-388	95	13	svm	svm	PROPN
cuesj-388	95	14	and	and	CCONJ
cuesj-388	95	15	k	k	PROPN
cuesj-388	95	16	-	-	PUNCT
cuesj-388	95	17	nn	nn	NOUN
cuesj-388	95	18	)	)	PUNCT
cuesj-388	95	19	,	,	PUNCT
cuesj-388	95	20	whereas	whereas	SCONJ
cuesj-388	95	21	in	in	ADP
cuesj-388	95	22	baity[26	baity[26	NOUN
cuesj-388	95	23	]	]	X
cuesj-388	95	24	only	only	ADV
cuesj-388	95	25	one	one	NUM
cuesj-388	95	26	classifier	classifier	NOUN
cuesj-388	95	27	(	(	PUNCT
cuesj-388	95	28	k	k	NOUN
cuesj-388	95	29	-	-	PUNCT
cuesj-388	95	30	nn	nn	NOUN
cuesj-388	95	31	)	)	PUNCT
cuesj-388	95	32	had	have	AUX
cuesj-388	95	33	been	be	AUX
cuesj-388	95	34	suggested	suggest	VERB
cuesj-388	95	35	.	.	PUNCT
cuesj-388	96	1	eventually	eventually	ADV
cuesj-388	96	2	,	,	PUNCT
cuesj-388	96	3	the	the	DET
cuesj-388	96	4	maximum	maximum	ADJ
cuesj-388	96	5	accuracy	accuracy	NOUN
cuesj-388	96	6	attained	attain	VERB
cuesj-388	96	7	is	be	AUX
cuesj-388	96	8	94.6%for	94.6%for	NUM
cuesj-388	96	9	covid	covid	PROPN
cuesj-388	96	10	-19	-19	SYM
cuesj-388	96	11	virus	virus	NOUN
cuesj-388	96	12	detection	detection	NOUN
cuesj-388	96	13	which	which	PRON
cuesj-388	96	14	outperform	outperform	VERB
cuesj-388	96	15	the	the	DET
cuesj-388	96	16	system	system	NOUN
cuesj-388	96	17	best	good	ADJ
cuesj-388	96	18	recognition	recognition	NOUN
cuesj-388	96	19	accuracy	accuracy	NOUN
cuesj-388	96	20	attained	attain	VERB
cuesj-388	96	21	in	in	ADP
cuesj-388	96	22	baity[26	baity[26	NOUN
cuesj-388	96	23	]	]	PUNCT
cuesj-388	96	24	which	which	PRON
cuesj-388	96	25	was	be	AUX
cuesj-388	96	26	only	only	ADV
cuesj-388	96	27	93.9	93.9	NUM
cuesj-388	96	28	%	%	NOUN
cuesj-388	96	29	.	.	PUNCT
cuesj-388	97	1	conclusion	conclusion	NOUN
cuesj-388	97	2	since	since	SCONJ
cuesj-388	97	3	a	a	DET
cuesj-388	97	4	few	few	ADJ
cuesj-388	97	5	days	day	NOUN
cuesj-388	97	6	after	after	ADP
cuesj-388	97	7	spreading	spread	VERB
cuesj-388	97	8	this	this	DET
cuesj-388	97	9	outbreak	outbreak	NOUN
cuesj-388	97	10	,	,	PUNCT
cuesj-388	97	11	many	many	ADJ
cuesj-388	97	12	cad	cad	NOUN
cuesj-388	97	13	methods	method	NOUN
cuesj-388	97	14	for	for	ADP
cuesj-388	97	15	diagnosing	diagnose	VERB
cuesj-388	97	16	covid-19	covid-19	PROPN
cuesj-388	97	17	have	have	AUX
cuesj-388	97	18	been	be	AUX
cuesj-388	97	19	proposed	propose	VERB
cuesj-388	97	20	.	.	PUNCT
cuesj-388	98	1	there	there	PRON
cuesj-388	98	2	is	be	VERB
cuesj-388	98	3	no	no	DET
cuesj-388	98	4	doubt	doubt	NOUN
cuesj-388	98	5	that	that	SCONJ
cuesj-388	98	6	early	early	ADJ
cuesj-388	98	7	detection	detection	NOUN
cuesj-388	98	8	by	by	ADP
cuesj-388	98	9	imaging	image	VERB
cuesj-388	98	10	machines	machine	NOUN
cuesj-388	98	11	can	can	AUX
cuesj-388	98	12	survive	survive	VERB
cuesj-388	98	13	the	the	DET
cuesj-388	98	14	current	current	ADJ
cuesj-388	98	15	rate	rate	NOUN
cuesj-388	98	16	of	of	ADP
cuesj-388	98	17	contagious	contagious	ADJ
cuesj-388	98	18	patients	patient	NOUN
cuesj-388	98	19	.	.	PUNCT
cuesj-388	99	1	till	till	SCONJ
cuesj-388	99	2	now	now	ADV
cuesj-388	99	3	,	,	PUNCT
cuesj-388	99	4	many	many	ADJ
cuesj-388	99	5	attempts	attempt	NOUN
cuesj-388	99	6	are	be	AUX
cuesj-388	99	7	under	under	ADP
cuesj-388	99	8	progress	progress	NOUN
cuesj-388	99	9	to	to	PART
cuesj-388	99	10	improve	improve	VERB
cuesj-388	99	11	the	the	DET
cuesj-388	99	12	performance	performance	NOUN
cuesj-388	99	13	measurements	measurement	NOUN
cuesj-388	99	14	in	in	ADP
cuesj-388	99	15	data	datum	NOUN
cuesj-388	99	16	imaging	imaging	NOUN
cuesj-388	99	17	for	for	ADP
cuesj-388	99	18	helping	help	VERB
cuesj-388	99	19	the	the	DET
cuesj-388	99	20	doctors	doctor	NOUN
cuesj-388	99	21	to	to	PART
cuesj-388	99	22	diagnose	diagnose	VERB
cuesj-388	99	23	that	that	DET
cuesj-388	99	24	disease	disease	NOUN
cuesj-388	99	25	precisely	precisely	ADV
cuesj-388	99	26	.	.	PUNCT
cuesj-388	100	1	in	in	ADP
cuesj-388	100	2	this	this	DET
cuesj-388	100	3	study	study	NOUN
cuesj-388	100	4	for	for	ADP
cuesj-388	100	5	automatically	automatically	ADV
cuesj-388	100	6	classify	classify	VERB
cuesj-388	100	7	110	110	NUM
cuesj-388	100	8	frontal	frontal	ADJ
cuesj-388	100	9	cxr	cxr	NOUN
cuesj-388	100	10	images	image	NOUN
cuesj-388	100	11	according	accord	VERB
cuesj-388	100	12	to	to	ADP
cuesj-388	100	13	normal	normal	ADJ
cuesj-388	100	14	,	,	PUNCT
cuesj-388	100	15	and	and	CCONJ
cuesj-388	100	16	covid-19	covid-19	PROPN
cuesj-388	100	17	stages	stage	NOUN
cuesj-388	100	18	,	,	PUNCT
cuesj-388	100	19	lbp	lbp	PROPN
cuesj-388	100	20	was	be	AUX
cuesj-388	100	21	used	use	VERB
cuesj-388	100	22	to	to	PART
cuesj-388	100	23	extract	extract	VERB
cuesj-388	100	24	the	the	DET
cuesj-388	100	25	texture	texture	NOUN
cuesj-388	100	26	features	feature	NOUN
cuesj-388	100	27	from	from	ADP
cuesj-388	100	28	the	the	DET
cuesj-388	100	29	images	image	NOUN
cuesj-388	100	30	after	after	ADP
cuesj-388	100	31	pre	pre	ADJ
cuesj-388	100	32	-	-	ADJ
cuesj-388	100	33	processing	processing	ADJ
cuesj-388	100	34	step	step	NOUN
cuesj-388	100	35	.	.	PUNCT
cuesj-388	101	1	the	the	DET
cuesj-388	101	2	clinically	clinically	ADV
cuesj-388	101	3	significant	significant	ADJ
cuesj-388	101	4	features	feature	NOUN
cuesj-388	101	5	are	be	AUX
cuesj-388	101	6	selected	select	VERB
cuesj-388	101	7	by	by	ADP
cuesj-388	101	8	bpso	bpso	NOUN
cuesj-388	101	9	.	.	PUNCT
cuesj-388	102	1	finally	finally	ADV
cuesj-388	102	2	,	,	PUNCT
cuesj-388	102	3	the	the	DET
cuesj-388	102	4	proposed	propose	VERB
cuesj-388	102	5	method	method	NOUN
cuesj-388	102	6	is	be	AUX
cuesj-388	102	7	evaluated	evaluate	VERB
cuesj-388	102	8	by	by	ADP
cuesj-388	102	9	performing	perform	VERB
cuesj-388	102	10	knn	knn	PROPN
cuesj-388	102	11	and	and	CCONJ
cuesj-388	102	12	svm	svm	ADJ
cuesj-388	102	13	classifiers	classifier	NOUN
cuesj-388	102	14	.	.	PUNCT
cuesj-388	103	1	the	the	DET
cuesj-388	103	2	results	result	NOUN
cuesj-388	103	3	show	show	VERB
cuesj-388	103	4	that	that	SCONJ
cuesj-388	103	5	the	the	DET
cuesj-388	103	6	system	system	NOUN
cuesj-388	103	7	robustness	robustness	NOUN
cuesj-388	103	8	in	in	ADP
cuesj-388	103	9	covid-19	covid-19	PROPN
cuesj-388	103	10	detection	detection	NOUN
cuesj-388	103	11	.	.	PUNCT
cuesj-388	104	1	our	our	PRON
cuesj-388	104	2	experimental	experimental	ADJ
cuesj-388	104	3	results	result	NOUN
cuesj-388	104	4	show	show	VERB
cuesj-388	104	5	that	that	SCONJ
cuesj-388	104	6	the	the	DET
cuesj-388	104	7	proposed	propose	VERB
cuesj-388	104	8	method	method	NOUN
cuesj-388	104	9	can	can	AUX
cuesj-388	104	10	be	be	AUX
cuesj-388	104	11	used	use	VERB
cuesj-388	104	12	as	as	ADP
cuesj-388	104	13	a	a	DET
cuesj-388	104	14	second	second	ADJ
cuesj-388	104	15	purpose	purpose	NOUN
cuesj-388	104	16	to	to	PART
cuesj-388	104	17	help	help	VERB
cuesj-388	104	18	the	the	DET
cuesj-388	104	19	radiologists	radiologist	NOUN
cuesj-388	104	20	for	for	ADP
cuesj-388	104	21	classifying	classify	VERB
cuesj-388	104	22	the	the	DET
cuesj-388	104	23	frontal	frontal	ADJ
cuesj-388	104	24	cxr	cxr	NOUN
cuesj-388	104	25	images	image	NOUN
cuesj-388	104	26	either	either	CCONJ
cuesj-388	104	27	positive	positive	ADJ
cuesj-388	104	28	or	or	CCONJ
cuesj-388	104	29	negative	negative	ADJ
cuesj-388	104	30	covid-19	covid-19	PROPN
cuesj-388	104	31	.	.	PUNCT
cuesj-388	104	32	references	reference	NOUN
cuesj-388	104	33	1	1	NUM
cuesj-388	104	34	.	.	PUNCT
cuesj-388	104	35	m.	m.	PROPN
cuesj-388	104	36	y.	y.	PROPN
cuesj-388	104	37	ng	ng	PROPN
cuesj-388	104	38	,	,	PUNCT
cuesj-388	104	39	e.	e.	PROPN
cuesj-388	104	40	y.	y.	PROPN
cuesj-388	104	41	p.	p.	PROPN
cuesj-388	104	42	lee	lee	PROPN
cuesj-388	104	43	,	,	PUNCT
cuesj-388	104	44	j.	j.	PROPN
cuesj-388	104	45	yang	yang	PROPN
cuesj-388	104	46	,	,	PUNCT
cuesj-388	104	47	f.	f.	PROPN
cuesj-388	104	48	yang	yang	PROPN
cuesj-388	104	49	,	,	PUNCT
cuesj-388	104	50	x.	x.	PROPN
cuesj-388	104	51	li	li	PROPN
cuesj-388	104	52	,	,	PUNCT
cuesj-388	104	53	h.	h.	PROPN
cuesj-388	104	54	wang	wang	PROPN
cuesj-388	104	55	,	,	PUNCT
cuesj-388	104	56	m.	m.	NOUN
cuesj-388	104	57	m.	m.	PROPN
cuesj-388	104	58	s.	s.	PROPN
cuesj-388	104	59	lui	lui	PROPN
cuesj-388	104	60	,	,	PUNCT
cuesj-388	104	61	c.	c.	PROPN
cuesj-388	104	62	s.	s.	PROPN
cuesj-388	104	63	y.	y.	PROPN
cuesj-388	104	64	lo	lo	PROPN
cuesj-388	104	65	,	,	PUNCT
cuesj-388	104	66	b.	b.	PROPN
cuesj-388	104	67	leung	leung	PROPN
cuesj-388	104	68	,	,	PUNCT
cuesj-388	104	69	p.	p.	PROPN
cuesj-388	104	70	l.	l.	PROPN
cuesj-388	104	71	khong	khong	PROPN
cuesj-388	104	72	,	,	PUNCT
cuesj-388	104	73	c.	c.	PROPN
cuesj-388	104	74	k.	k.	PROPN
cuesj-388	104	75	m.	m.	PROPN
cuesj-388	104	76	hui	hui	PROPN
cuesj-388	104	77	,	,	PUNCT
cuesj-388	104	78	k.	k.	PROPN
cuesj-388	105	1	y.	y.	PROPN
cuesj-388	105	2	yuen	yuen	PROPN
cuesj-388	105	3	,	,	PUNCT
cuesj-388	105	4	and	and	CCONJ
cuesj-388	105	5	m.	m.	PROPN
cuesj-388	105	6	d.	d.	PROPN
cuesj-388	105	7	kuo	kuo	PROPN
cuesj-388	105	8	.	.	PUNCT
cuesj-388	106	1	imaging	imaging	NOUN
cuesj-388	106	2	profile	profile	NOUN
cuesj-388	106	3	of	of	ADP
cuesj-388	106	4	the	the	DET
cuesj-388	106	5	covid-19	covid-19	PROPN
cuesj-388	106	6	infection	infection	NOUN
cuesj-388	106	7	:	:	PUNCT
cuesj-388	106	8	radiologic	radiologic	ADJ
cuesj-388	106	9	findings	finding	NOUN
cuesj-388	106	10	and	and	CCONJ
cuesj-388	106	11	literature	literature	PROPN
cuesj-388	106	12	review	review	PROPN
cuesj-388	106	13	.	.	PUNCT
cuesj-388	107	1	radiology	radiology	NOUN
cuesj-388	107	2	:	:	PUNCT
cuesj-388	107	3	cardiothoracic	cardiothoracic	NOUN
cuesj-388	107	4	imaging	imaging	NOUN
cuesj-388	107	5	,	,	PUNCT
cuesj-388	107	6	vol	vol	NOUN
cuesj-388	107	7	.	.	PROPN
cuesj-388	108	1	2	2	NUM
cuesj-388	108	2	,	,	PUNCT
cuesj-388	108	3	no	no	INTJ
cuesj-388	108	4	.	.	NOUN
cuesj-388	108	5	1	1	NUM
cuesj-388	108	6	,	,	PUNCT
cuesj-388	108	7	p.	p.	NOUN
cuesj-388	108	8	e200034	e200034	PROPN
cuesj-388	108	9	,	,	PUNCT
cuesj-388	108	10	2020	2020	NUM
cuesj-388	108	11	.	.	PUNCT
cuesj-388	109	1	2	2	X
cuesj-388	109	2	.	.	X
cuesj-388	109	3	m.	m.	PROPN
cuesj-388	109	4	thomas	thomas	PROPN
cuesj-388	109	5	,	,	PUNCT
cuesj-388	109	6	g.	g.	PROPN
cuesj-388	109	7	ksiazek	ksiazek	PROPN
cuesj-388	109	8	,	,	PUNCT
cuesj-388	109	9	d	d	PROPN
cuesj-388	109	10	,	,	PUNCT
cuesj-388	109	11	erdman	erdman	PROPN
cuesj-388	109	12	,	,	PUNCT
cuesj-388	109	13	c.	c.	PROPN
cuesj-388	109	14	s.	s.	PROPN
cuesj-388	109	15	goldsmith	goldsmith	PROPN
cuesj-388	109	16	,	,	PUNCT
cuesj-388	109	17	s.	s.	PROPN
cuesj-388	109	18	r.	r.	PROPN
cuesj-388	109	19	zaki	zaki	PROPN
cuesj-388	109	20	,	,	PUNCT
cuesj-388	109	21	t.	t.	PROPN
cuesj-388	109	22	peret	peret	PROPN
cuesj-388	109	23	,	,	PUNCT
cuesj-388	109	24	s.	s.	PROPN
cuesj-388	109	25	emery	emery	PROPN
cuesj-388	109	26	,	,	PUNCT
cuesj-388	109	27	s.	s.	PROPN
cuesj-388	109	28	tong	tong	PROPN
cuesj-388	109	29	,	,	PUNCT
cuesj-388	109	30	and	and	CCONJ
cuesj-388	109	31	c.	c.	PROPN
cuesj-388	109	32	urbani	urbani	PROPN
cuesj-388	109	33	.	.	PUNCT
cuesj-388	110	1	respiratory	respiratory	ADJ
cuesj-388	110	2	and	and	CCONJ
cuesj-388	110	3	enteric	enteric	ADJ
cuesj-388	110	4	virus	virus	NOUN
cuesj-388	110	5	branch	branch	NOUN
cuesj-388	110	6	.	.	PUNCT
cuesj-388	111	1	united	united	PROPN
cuesj-388	111	2	states	states	PROPN
cuesj-388	111	3	:	:	PUNCT
cuesj-388	111	4	national	national	ADJ
cuesj-388	111	5	center	center	NOUN
cuesj-388	111	6	for	for	ADP
cuesj-388	111	7	immunization	immunization	NOUN
cuesj-388	111	8	and	and	CCONJ
cuesj-388	111	9	respiratory	respiratory	ADJ
cuesj-388	111	10	diseases	disease	NOUN
cuesj-388	111	11	,	,	PUNCT
cuesj-388	111	12	2003	2003	NUM
cuesj-388	111	13	.	.	PUNCT
cuesj-388	112	1	3	3	X
cuesj-388	112	2	.	.	X
cuesj-388	112	3	m.	m.	NOUN
cuesj-388	112	4	chan	chan	PROPN
cuesj-388	112	5	-	-	PUNCT
cuesj-388	112	6	yeung	yeung	PROPN
cuesj-388	112	7	,	,	PUNCT
cuesj-388	112	8	and	and	CCONJ
cuesj-388	112	9	r.	r.	PROPN
cuesj-388	112	10	xu	xu	PROPN
cuesj-388	112	11	.	.	PUNCT
cuesj-388	113	1	sars	sar	NOUN
cuesj-388	113	2	:	:	PUNCT
cuesj-388	113	3	epidemiology	epidemiology	NOUN
cuesj-388	113	4	.	.	PUNCT
cuesj-388	114	1	respirology	respirology	NOUN
cuesj-388	114	2	,	,	PUNCT
cuesj-388	114	3	vol	vol	NOUN
cuesj-388	114	4	.	.	PROPN
cuesj-388	114	5	8	8	NUM
cuesj-388	114	6	,	,	PUNCT
cuesj-388	114	7	pp	pp	ADJ
cuesj-388	114	8	.	.	PUNCT
cuesj-388	115	1	s9	s9	NOUN
cuesj-388	115	2	-	-	PUNCT
cuesj-388	115	3	s14	s14	NOUN
cuesj-388	115	4	,	,	PUNCT
cuesj-388	115	5	2003	2003	NUM
cuesj-388	115	6	.	.	PUNCT
cuesj-388	116	1	4	4	NUM
cuesj-388	116	2	.	.	PUNCT
cuesj-388	116	3	a.	a.	NOUN
cuesj-388	116	4	zumla	zumla	PROPN
cuesj-388	116	5	,	,	PUNCT
cuesj-388	116	6	d.	d.	PROPN
cuesj-388	116	7	s.	s.	PROPN
cuesj-388	116	8	hui	hui	PROPN
cuesj-388	116	9	,	,	PUNCT
cuesj-388	116	10	and	and	CCONJ
cuesj-388	116	11	s.	s.	PROPN
cuesj-388	116	12	perlman	perlman	PROPN
cuesj-388	116	13	.	.	PUNCT
cuesj-388	117	1	middle	middle	PROPN
cuesj-388	117	2	east	east	PROPN
cuesj-388	117	3	respiratory	respiratory	ADJ
cuesj-388	117	4	syndrome	syndrome	NOUN
cuesj-388	117	5	.	.	PUNCT
cuesj-388	118	1	the	the	DET
cuesj-388	118	2	lancet	lancet	PROPN
cuesj-388	118	3	,	,	PUNCT
cuesj-388	118	4	vol	vol	NOUN
cuesj-388	118	5	.	.	PROPN
cuesj-388	118	6	386	386	NUM
cuesj-388	118	7	,	,	PUNCT
cuesj-388	118	8	no	no	INTJ
cuesj-388	118	9	.	.	NOUN
cuesj-388	118	10	9997	9997	NUM
cuesj-388	118	11	,	,	PUNCT
cuesj-388	118	12	pp	pp	ADJ
cuesj-388	118	13	.	.	PUNCT
cuesj-388	119	1	995	995	NUM
cuesj-388	119	2	-	-	SYM
cuesj-388	119	3	1007	1007	NUM
cuesj-388	119	4	,	,	PUNCT
cuesj-388	119	5	2015	2015	NUM
cuesj-388	119	6	.	.	PUNCT
cuesj-388	120	1	5	5	X
cuesj-388	120	2	.	.	PUNCT
cuesj-388	120	3	a.	a.	PROPN
cuesj-388	120	4	j.	j.	PROPN
cuesj-388	120	5	rodriguez	rodriguez	PROPN
cuesj-388	120	6	-	-	PUNCT
cuesj-388	120	7	morales	morales	PROPN
cuesj-388	120	8	,	,	PUNCT
cuesj-388	120	9	j.	j.	PROPN
cuesj-388	120	10	a.	a.	PROPN
cuesj-388	120	11	cardona	cardona	PROPN
cuesj-388	120	12	-	-	PUNCT
cuesj-388	120	13	ospina	ospina	PROPN
cuesj-388	120	14	,	,	PUNCT
cuesj-388	120	15	e.	e.	PROPN
cuesj-388	120	16	gutiérrezocampo	gutiérrezocampo	PROPN
cuesj-388	120	17	,	,	PUNCT
cuesj-388	120	18	r.	r.	PROPN
cuesj-388	120	19	villamizar	villamizar	NOUN
cuesj-388	120	20	-	-	PUNCT
cuesj-388	120	21	peña	peña	NOUN
cuesj-388	120	22	,	,	PUNCT
cuesj-388	120	23	y.	y.	PROPN
cuesj-388	120	24	holguin	holguin	PROPN
cuesj-388	120	25	-	-	PUNCT
cuesj-388	120	26	rivera	rivera	PROPN
cuesj-388	120	27	,	,	PUNCT
cuesj-388	120	28	j.	j.	PROPN
cuesj-388	120	29	p.	p.	PROPN
cuesj-388	120	30	escaleraantezana	escaleraantezana	PROPN
cuesj-388	120	31	,	,	PUNCT
cuesj-388	120	32	l.	l.	PROPN
cuesj-388	120	33	e.	e.	PROPN
cuesj-388	120	34	alvarado	alvarado	PROPN
cuesj-388	120	35	-	-	PROPN
cuesj-388	120	36	arnez	arnez	PROPN
cuesj-388	120	37	,	,	PUNCT
cuesj-388	120	38	d.	d.	PROPN
cuesj-388	120	39	k.	k.	PROPN
cuesj-388	121	1	bonilla	bonilla	PROPN
cuesj-388	121	2	-	-	PUNCT
cuesj-388	121	3	aldana	aldana	PROPN
cuesj-388	121	4	,	,	PUNCT
cuesj-388	121	5	c.	c.	PROPN
cuesj-388	121	6	franco	franco	PROPN
cuesj-388	121	7	-	-	PUNCT
cuesj-388	121	8	paredes	paredes	PROPN
cuesj-388	121	9	,	,	PUNCT
cuesj-388	121	10	a.	a.	PROPN
cuesj-388	121	11	f.	f.	PROPN
cuesj-388	121	12	henao	henao	PROPN
cuesj-388	121	13	-	-	PUNCT
cuesj-388	121	14	martinez	martinez	PROPN
cuesj-388	121	15	,	,	PUNCT
cuesj-388	121	16	a.	a.	PROPN
cuesj-388	121	17	paniz	paniz	NOUN
cuesj-388	121	18	-	-	PUNCT
cuesj-388	121	19	mondolfi	mondolfi	NOUN
cuesj-388	121	20	,	,	PUNCT
cuesj-388	121	21	g.	g.	PROPN
cuesj-388	121	22	j.	j.	PROPN
cuesj-388	121	23	lagos	lagos	PROPN
cuesj-388	121	24	-	-	PUNCT
cuesj-388	121	25	grisales	grisale	NOUN
cuesj-388	121	26	,	,	PUNCT
cuesj-388	121	27	e.	e.	PROPN
cuesj-388	121	28	ramírez	ramírez	PROPN
cuesj-388	121	29	-	-	PUNCT
cuesj-388	121	30	vallejo	vallejo	PROPN
cuesj-388	121	31	,	,	PUNCT
cuesj-388	121	32	j.	j.	PROPN
cuesj-388	121	33	a.	a.	PROPN
cuesj-388	121	34	suárez	suárez	PROPN
cuesj-388	121	35	,	,	PUNCT
cuesj-388	121	36	l.	l.	PROPN
cuesj-388	121	37	i.	i.	PROPN
cuesj-388	121	38	zambrano	zambrano	PROPN
cuesj-388	121	39	,	,	PUNCT
cuesj-388	121	40	w.	w.	PROPN
cuesj-388	121	41	e.	e.	PROPN
cuesj-388	121	42	villamil	villamil	PROPN
cuesj-388	121	43	-	-	NOUN
cuesj-388	121	44	gómez	gómez	NOUN
cuesj-388	121	45	,	,	PUNCT
cuesj-388	121	46	g.	g.	PROPN
cuesj-388	121	47	j.	j.	PROPN
cuesj-388	121	48	balbin	balbin	PROPN
cuesj-388	121	49	-	-	PUNCT
cuesj-388	121	50	ramon	ramon	NOUN
cuesj-388	121	51	,	,	PUNCT
cuesj-388	121	52	a.	a.	NOUN
cuesj-388	121	53	a.	a.	NOUN
cuesj-388	121	54	rabaan	rabaan	PROPN
cuesj-388	121	55	,	,	PUNCT
cuesj-388	121	56	h.	h.	PROPN
cuesj-388	121	57	harapan	harapan	PROPN
cuesj-388	121	58	,	,	PUNCT
cuesj-388	121	59	k.	k.	PROPN
cuesj-388	121	60	dhama	dhama	PROPN
cuesj-388	121	61	,	,	PUNCT
cuesj-388	121	62	h.	h.	PROPN
cuesj-388	121	63	nishiura	nishiura	PROPN
cuesj-388	121	64	,	,	PUNCT
cuesj-388	121	65	h.	h.	PROPN
cuesj-388	121	66	kataoka	kataoka	PROPN
cuesj-388	121	67	,	,	PUNCT
cuesj-388	121	68	t.	t.	PROPN
cuesj-388	121	69	ahmad	ahmad	PROPN
cuesj-388	121	70	,	,	PUNCT
cuesj-388	121	71	and	and	CCONJ
cuesj-388	121	72	r.	r.	PROPN
cuesj-388	121	73	sah	sah	PROPN
cuesj-388	121	74	.	.	PUNCT
cuesj-388	122	1	clinical	clinical	PROPN
cuesj-388	122	2	,	,	PUNCT
cuesj-388	122	3	laboratory	laboratory	NOUN
cuesj-388	122	4	and	and	CCONJ
cuesj-388	122	5	imaging	imaging	NOUN
cuesj-388	122	6	features	feature	NOUN
cuesj-388	122	7	of	of	ADP
cuesj-388	122	8	covid19	covid19	NOUN
cuesj-388	122	9	:	:	PUNCT
cuesj-388	122	10	a	a	DET
cuesj-388	122	11	systematic	systematic	ADJ
cuesj-388	122	12	review	review	NOUN
cuesj-388	122	13	and	and	CCONJ
cuesj-388	122	14	meta	meta	ADJ
cuesj-388	122	15	-	-	PUNCT
cuesj-388	122	16	analysis	analysis	NOUN
cuesj-388	122	17	.	.	PUNCT
cuesj-388	123	1	travel	travel	NOUN
cuesj-388	123	2	medicine	medicine	NOUN
cuesj-388	123	3	and	and	CCONJ
cuesj-388	123	4	infectious	infectious	ADJ
cuesj-388	123	5	disease	disease	NOUN
cuesj-388	123	6	,	,	PUNCT
cuesj-388	123	7	vol	vol	NOUN
cuesj-388	123	8	.	.	PROPN
cuesj-388	123	9	34	34	NUM
cuesj-388	123	10	,	,	PUNCT
cuesj-388	123	11	p.	p.	NOUN
cuesj-388	123	12	101623	101623	NUM
cuesj-388	123	13	,	,	PUNCT
cuesj-388	123	14	2020	2020	NUM
cuesj-388	123	15	.	.	PUNCT
cuesj-388	124	1	6	6	NUM
cuesj-388	124	2	.	.	PUNCT
cuesj-388	124	3	h.	h.	PROPN
cuesj-388	124	4	y.	y.	PROPN
cuesj-388	124	5	f.	f.	PROPN
cuesj-388	124	6	wong	wong	PROPN
cuesj-388	124	7	,	,	PUNCT
cuesj-388	124	8	h.	h.	PROPN
cuesj-388	124	9	y.	y.	PROPN
cuesj-388	124	10	s.	s.	PROPN
cuesj-388	124	11	lam	lam	PROPN
cuesj-388	124	12	,	,	PUNCT
cuesj-388	124	13	a.	a.	PROPN
cuesj-388	124	14	h.	h.	PROPN
cuesj-388	124	15	t.	t.	PROPN
cuesj-388	124	16	fong	fong	PROPN
cuesj-388	124	17	,	,	PUNCT
cuesj-388	124	18	s.	s.	PROPN
cuesj-388	124	19	t.	t.	PROPN
cuesj-388	124	20	leung	leung	PROPN
cuesj-388	124	21	,	,	PUNCT
cuesj-388	124	22	t.	t.	PROPN
cuesj-388	124	23	w.	w.	PROPN
cuesj-388	124	24	y.	y.	PROPN
cuesj-388	124	25	chin	chin	PROPN
cuesj-388	124	26	,	,	PUNCT
cuesj-388	124	27	c.	c.	PROPN
cuesj-388	124	28	s.	s.	PROPN
cuesj-388	124	29	y.	y.	PROPN
cuesj-388	124	30	lo	lo	PROPN
cuesj-388	124	31	,	,	PUNCT
cuesj-388	124	32	m.	m.	NOUN
cuesj-388	124	33	m.	m.	PROPN
cuesj-388	124	34	s.	s.	PROPN
cuesj-388	124	35	lui	lui	PROPN
cuesj-388	124	36	,	,	PUNCT
cuesj-388	124	37	j.	j.	PROPN
cuesj-388	124	38	c.	c.	PROPN
cuesj-388	124	39	y.	y.	PROPN
cuesj-388	124	40	lee	lee	PROPN
cuesj-388	124	41	,	,	PUNCT
cuesj-388	124	42	k.	k.	PROPN
cuesj-388	124	43	w.	w.	PROPN
cuesj-388	124	44	h.	h.	PROPN
cuesj-388	124	45	chiu	chiu	PROPN
cuesj-388	124	46	,	,	PUNCT
cuesj-388	124	47	t.	t.	PROPN
cuesj-388	124	48	w.	w.	PROPN
cuesj-388	124	49	h.	h.	PROPN
cuesj-388	124	50	chung	chung	PROPN
cuesj-388	124	51	,	,	PUNCT
cuesj-388	124	52	figure	figure	VERB
cuesj-388	124	53	6	6	NUM
cuesj-388	124	54	:	:	PUNCT
cuesj-388	124	55	average	average	ADJ
cuesj-388	124	56	accuracy	accuracy	NOUN
cuesj-388	124	57	taken	take	VERB
cuesj-388	124	58	by	by	ADP
cuesj-388	124	59	used	use	VERB
cuesj-388	124	60	classifiers	classifier	NOUN
cuesj-388	124	61	figure	figure	VERB
cuesj-388	124	62	5	5	NUM
cuesj-388	124	63	:	:	PUNCT
cuesj-388	124	64	best	good	ADJ
cuesj-388	124	65	score	score	NOUN
cuesj-388	124	66	achieved	achieve	VERB
cuesj-388	124	67	by	by	ADP
cuesj-388	124	68	objective	objective	ADJ
cuesj-388	124	69	function	function	NOUN
cuesj-388	124	70	versus	versus	ADP
cuesj-388	124	71	iteration	iteration	NOUN
cuesj-388	124	72	for	for	ADP
cuesj-388	124	73	binary	binary	ADJ
cuesj-388	124	74	particle	particle	NOUN
cuesj-388	124	75	swarm	swarm	NOUN
cuesj-388	124	76	optimization	optimization	NOUN
cuesj-388	124	77	figure	figure	NOUN
cuesj-388	124	78	4	4	NUM
cuesj-388	124	79	:	:	PUNCT
cuesj-388	124	80	results	result	NOUN
cuesj-388	124	81	of	of	ADP
cuesj-388	124	82	affecting	affect	VERB
cuesj-388	124	83	pre	pre	ADJ
cuesj-388	124	84	-	-	ADJ
cuesj-388	124	85	processing	processing	ADJ
cuesj-388	124	86	filters	filter	NOUN
cuesj-388	124	87	on	on	ADP
cuesj-388	124	88	normal	normal	ADJ
cuesj-388	124	89	cxr	cxr	NOUN
cuesj-388	124	90	images	image	NOUN
cuesj-388	124	91	(	(	PUNCT
cuesj-388	124	92	a	a	X
cuesj-388	124	93	)	)	PUNCT
cuesj-388	124	94	original	original	ADJ
cuesj-388	124	95	resized	resize	VERB
cuesj-388	124	96	image	image	NOUN
cuesj-388	124	97	(	(	PUNCT
cuesj-388	124	98	b	b	NOUN
cuesj-388	124	99	)	)	PUNCT
cuesj-388	124	100	image	image	NOUN
cuesj-388	124	101	denoising	denoising	NOUN
cuesj-388	124	102	using	use	VERB
cuesj-388	124	103	gaussian	gaussian	ADJ
cuesj-388	124	104	filter	filter	NOUN
cuesj-388	124	105	(	(	PUNCT
cuesj-388	124	106	c	c	NOUN
cuesj-388	124	107	)	)	PUNCT
cuesj-388	124	108	image	image	NOUN
cuesj-388	124	109	enhancement	enhancement	NOUN
cuesj-388	124	110	using	use	VERB
cuesj-388	124	111	adaptive	adaptive	ADJ
cuesj-388	124	112	histogram	histogram	NOUN
cuesj-388	124	113	equalization	equalization	PROPN
cuesj-388	124	114	b	b	PROPN
cuesj-388	124	115	ca	ca	PROPN
cuesj-388	124	116	mohammed	mohammed	PROPN
cuesj-388	124	117	,	,	PUNCT
cuesj-388	124	118	et	et	PROPN
cuesj-388	124	119	al	al	PROPN
cuesj-388	124	120	.	.	PUNCT
cuesj-388	124	121	:	:	PUNCT
cuesj-388	125	1	covid-19	covid-19	PROPN
cuesj-388	125	2	chest	chest	NOUN
cuesj-388	125	3	x	x	NOUN
cuesj-388	125	4	-	-	NOUN
cuesj-388	125	5	ray	ray	NOUN
cuesj-388	125	6	images	image	NOUN
cuesj-388	125	7	51	51	NUM
cuesj-388	125	8	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-388	125	9	cuesj	cuesj	NOUN
cuesj-388	125	10	2021	2021	NUM
cuesj-388	125	11	,	,	PUNCT
cuesj-388	125	12	5	5	NUM
cuesj-388	125	13	(	(	PUNCT
cuesj-388	125	14	2	2	NUM
cuesj-388	125	15	):	):	PUNCT
cuesj-388	125	16	46	46	NUM
cuesj-388	125	17	-	-	SYM
cuesj-388	125	18	51	51	NUM
cuesj-388	125	19	e.	e.	PROPN
cuesj-388	125	20	y.	y.	PROPN
cuesj-388	125	21	p.	p.	PROPN
cuesj-388	125	22	lee	lee	PROPN
cuesj-388	125	23	,	,	PUNCT
cuesj-388	126	1	e.	e.	PROPN
cuesj-388	126	2	y.	y.	PROPN
cuesj-388	126	3	f.	f.	PROPN
cuesj-388	126	4	wan	wan	PROPN
cuesj-388	126	5	,	,	PUNCT
cuesj-388	126	6	i.	i.	PROPN
cuesj-388	126	7	f.	f.	PROPN
cuesj-388	126	8	n.	n.	PROPN
cuesj-388	126	9	hung	hung	PROPN
cuesj-388	126	10	,	,	PUNCT
cuesj-388	126	11	t.	t.	PROPN
cuesj-388	126	12	p.	p.	PROPN
cuesj-388	126	13	w.	w.	PROPN
cuesj-388	126	14	lam	lam	PROPN
cuesj-388	126	15	,	,	PUNCT
cuesj-388	126	16	m.	m.	PROPN
cuesj-388	126	17	d.	d.	PROPN
cuesj-388	126	18	kuo	kuo	PROPN
cuesj-388	126	19	,	,	PUNCT
cuesj-388	126	20	and	and	CCONJ
cuesj-388	126	21	m.	m.	PROPN
cuesj-388	126	22	y.	y.	PROPN
cuesj-388	126	23	ng	ng	PROPN
cuesj-388	126	24	.	.	PROPN
cuesj-388	126	25	frequency	frequency	NOUN
cuesj-388	126	26	and	and	CCONJ
cuesj-388	126	27	distribution	distribution	NOUN
cuesj-388	126	28	of	of	ADP
cuesj-388	126	29	chest	chest	ADJ
cuesj-388	126	30	radiographic	radiographic	ADJ
cuesj-388	126	31	findings	finding	NOUN
cuesj-388	126	32	in	in	ADP
cuesj-388	126	33	covid-19	covid-19	PROPN
cuesj-388	126	34	positive	positive	ADJ
cuesj-388	126	35	patients	patient	NOUN
cuesj-388	126	36	.	.	PUNCT
cuesj-388	127	1	radiology	radiology	NOUN
cuesj-388	127	2	,	,	PUNCT
cuesj-388	127	3	vol	vol	NOUN
cuesj-388	127	4	.	.	PROPN
cuesj-388	127	5	296	296	NUM
cuesj-388	127	6	,	,	PUNCT
cuesj-388	127	7	no	no	INTJ
cuesj-388	127	8	.	.	NOUN
cuesj-388	127	9	2	2	NUM
cuesj-388	127	10	,	,	PUNCT
cuesj-388	127	11	pp	pp	ADJ
cuesj-388	127	12	.	.	PUNCT
cuesj-388	128	1	72	72	NUM
cuesj-388	128	2	-	-	SYM
cuesj-388	128	3	78	78	NUM
cuesj-388	128	4	,	,	PUNCT
cuesj-388	128	5	2020	2020	NUM
cuesj-388	128	6	.	.	PUNCT
cuesj-388	129	1	7	7	X
cuesj-388	129	2	.	.	X
cuesj-388	129	3	l.	l.	PROPN
cuesj-388	129	4	fan	fan	PROPN
cuesj-388	129	5	,	,	PUNCT
cuesj-388	129	6	d.	d.	PROPN
cuesj-388	129	7	li	li	PROPN
cuesj-388	129	8	,	,	PUNCT
cuesj-388	129	9	h.	h.	PROPN
cuesj-388	129	10	xue	xue	PROPN
cuesj-388	129	11	,	,	PUNCT
cuesj-388	129	12	l.	l.	PROPN
cuesj-388	129	13	zhang	zhang	PROPN
cuesj-388	129	14	,	,	PUNCT
cuesj-388	129	15	z.	z.	PROPN
cuesj-388	129	16	liu	liu	PROPN
cuesj-388	129	17	,	,	PUNCT
cuesj-388	129	18	b.	b.	PROPN
cuesj-388	129	19	zhang	zhang	PROPN
cuesj-388	129	20	,	,	PUNCT
cuesj-388	129	21	l.	l.	PROPN
cuesj-388	129	22	zhang	zhang	PROPN
cuesj-388	129	23	,	,	PUNCT
cuesj-388	129	24	w.	w.	PROPN
cuesj-388	129	25	yang	yang	PROPN
cuesj-388	129	26	,	,	PUNCT
cuesj-388	129	27	b.	b.	PROPN
cuesj-388	129	28	xie	xie	PROPN
cuesj-388	129	29	,	,	PUNCT
cuesj-388	129	30	x.	x.	PROPN
cuesj-388	129	31	duan	duan	PROPN
cuesj-388	129	32	,	,	PUNCT
cuesj-388	129	33	x.	x.	PROPN
cuesj-388	129	34	hu	hu	PROPN
cuesj-388	129	35	,	,	PUNCT
cuesj-388	129	36	k.	k.	PROPN
cuesj-388	129	37	cheng	cheng	PROPN
cuesj-388	129	38	,	,	PUNCT
cuesj-388	129	39	l.	l.	PROPN
cuesj-388	129	40	peng	peng	PROPN
cuesj-388	129	41	,	,	PUNCT
cuesj-388	129	42	n.	n.	PROPN
cuesj-388	129	43	yu	yu	PROPN
cuesj-388	129	44	,	,	PUNCT
cuesj-388	129	45	l.	l.	PROPN
cuesj-388	129	46	song	song	PROPN
cuesj-388	129	47	,	,	PUNCT
cuesj-388	129	48	h.	h.	PROPN
cuesj-388	129	49	chen	chen	PROPN
cuesj-388	129	50	,	,	PUNCT
cuesj-388	129	51	x.	x.	PROPN
cuesj-388	129	52	sui	sui	PROPN
cuesj-388	129	53	,	,	PUNCT
cuesj-388	129	54	n.	n.	PROPN
cuesj-388	129	55	zheng	zheng	PROPN
cuesj-388	129	56	,	,	PUNCT
cuesj-388	129	57	s.	s.	PROPN
cuesj-388	129	58	liu	liu	PROPN
cuesj-388	129	59	,	,	PUNCT
cuesj-388	129	60	and	and	CCONJ
cuesj-388	129	61	z.	z.	PROPN
cuesj-388	129	62	jin	jin	PROPN
cuesj-388	129	63	.	.	PUNCT
cuesj-388	130	1	progress	progress	NOUN
cuesj-388	130	2	and	and	CCONJ
cuesj-388	130	3	prospect	prospect	NOUN
cuesj-388	130	4	on	on	ADP
cuesj-388	130	5	imaging	image	VERB
cuesj-388	130	6	diagnosis	diagnosis	NOUN
cuesj-388	130	7	of	of	ADP
cuesj-388	130	8	covid-19	covid-19	PROPN
cuesj-388	130	9	.	.	PUNCT
cuesj-388	131	1	chinese	chinese	PROPN
cuesj-388	131	2	journal	journal	PROPN
cuesj-388	131	3	of	of	ADP
cuesj-388	131	4	academic	academic	ADJ
cuesj-388	131	5	radiology	radiology	NOUN
cuesj-388	131	6	,	,	PUNCT
cuesj-388	131	7	vol	vol	NOUN
cuesj-388	131	8	.	.	PROPN
cuesj-388	132	1	3	3	NUM
cuesj-388	132	2	,	,	PUNCT
cuesj-388	132	3	no	no	INTJ
cuesj-388	132	4	.	.	NOUN
cuesj-388	132	5	1	1	NUM
cuesj-388	132	6	,	,	PUNCT
cuesj-388	132	7	pp	pp	ADJ
cuesj-388	132	8	.	.	PUNCT
cuesj-388	133	1	4	4	NUM
cuesj-388	133	2	-	-	SYM
cuesj-388	133	3	13	13	NUM
cuesj-388	133	4	,	,	PUNCT
cuesj-388	133	5	2020	2020	NUM
cuesj-388	133	6	.	.	PUNCT
cuesj-388	134	1	8	8	X
cuesj-388	134	2	.	.	X
cuesj-388	134	3	m.	m.	PROPN
cuesj-388	134	4	e.	e.	PROPN
cuesj-388	134	5	h.	h.	PROPN
cuesj-388	134	6	chowdhury	chowdhury	PROPN
cuesj-388	134	7	,	,	PUNCT
cuesj-388	134	8	t.	t.	PROPN
cuesj-388	134	9	rahman	rahman	PROPN
cuesj-388	134	10	,	,	PUNCT
cuesj-388	134	11	a.	a.	NOUN
cuesj-388	134	12	khandakar	khandakar	PROPN
cuesj-388	134	13	,	,	PUNCT
cuesj-388	134	14	r.	r.	PROPN
cuesj-388	134	15	mazhar	mazhar	PROPN
cuesj-388	134	16	,	,	PUNCT
cuesj-388	134	17	m.	m.	NOUN
cuesj-388	134	18	a.	a.	PROPN
cuesj-388	134	19	kadir	kadir	PROPN
cuesj-388	134	20	,	,	PUNCT
cuesj-388	134	21	z.	z.	PROPN
cuesj-388	134	22	b.	b.	PROPN
cuesj-388	134	23	mahbub	mahbub	PROPN
cuesj-388	134	24	,	,	PUNCT
cuesj-388	134	25	k.	k.	PROPN
cuesj-388	134	26	r.	r.	PROPN
cuesj-388	134	27	islam	islam	PROPN
cuesj-388	134	28	,	,	PUNCT
cuesj-388	134	29	m.	m.	PROPN
cuesj-388	134	30	s.	s.	PROPN
cuesj-388	134	31	khan	khan	PROPN
cuesj-388	134	32	,	,	PUNCT
cuesj-388	134	33	a.	a.	PROPN
cuesj-388	134	34	iqbal	iqbal	PROPN
cuesj-388	134	35	,	,	PUNCT
cuesj-388	134	36	n.	n.	PROPN
cuesj-388	134	37	al	al	PROPN
cuesj-388	134	38	-	-	PUNCT
cuesj-388	134	39	emadi	emadi	ADJ
cuesj-388	134	40	,	,	PUNCT
cuesj-388	134	41	m.	m.	PROPN
cuesj-388	134	42	b.	b.	PROPN
cuesj-388	134	43	i.	i.	PROPN
cuesj-388	134	44	reaz	reaz	PROPN
cuesj-388	134	45	,	,	PUNCT
cuesj-388	134	46	and	and	CCONJ
cuesj-388	134	47	t.	t.	PROPN
cuesj-388	134	48	i.	i.	PROPN
cuesj-388	134	49	islam	islam	PROPN
cuesj-388	134	50	.	.	PUNCT
cuesj-388	135	1	can	can	AUX
cuesj-388	135	2	ai	ai	VERB
cuesj-388	135	3	help	help	NOUN
cuesj-388	135	4	in	in	ADP
cuesj-388	135	5	screening	screen	VERB
cuesj-388	135	6	viral	viral	ADJ
cuesj-388	135	7	and	and	CCONJ
cuesj-388	135	8	covid-19	covid-19	PROPN
cuesj-388	135	9	pneumonia	pneumonia	NOUN
cuesj-388	135	10	?	?	PUNCT
cuesj-388	136	1	arxiv	arxiv	PROPN
cuesj-388	136	2	,	,	PUNCT
cuesj-388	136	3	vol	vol	NOUN
cuesj-388	136	4	.	.	PROPN
cuesj-388	136	5	8	8	NUM
cuesj-388	136	6	,	,	PUNCT
cuesj-388	136	7	pp	pp	ADJ
cuesj-388	136	8	.	.	PUNCT
cuesj-388	136	9	132665–132676	132665–132676	NUM
cuesj-388	136	10	,	,	PUNCT
cuesj-388	136	11	2020	2020	NUM
cuesj-388	136	12	.	.	PUNCT
cuesj-388	137	1	9	9	NUM
cuesj-388	137	2	.	.	PUNCT
cuesj-388	137	3	a.	a.	NOUN
cuesj-388	137	4	abbas	abbas	PROPN
cuesj-388	137	5	,	,	PUNCT
cuesj-388	137	6	m.	m.	NOUN
cuesj-388	137	7	m.	m.	PROPN
cuesj-388	137	8	abdelsamea	abdelsamea	PROPN
cuesj-388	137	9	,	,	PUNCT
cuesj-388	137	10	and	and	CCONJ
cuesj-388	137	11	m.	m.	NOUN
cuesj-388	137	12	m.	m.	PROPN
cuesj-388	137	13	gaber	gaber	PROPN
cuesj-388	137	14	.	.	PUNCT
cuesj-388	138	1	classification	classification	NOUN
cuesj-388	138	2	of	of	ADP
cuesj-388	138	3	covid-19	covid-19	PROPN
cuesj-388	138	4	in	in	ADP
cuesj-388	138	5	chest	chest	NOUN
cuesj-388	138	6	x	x	NOUN
cuesj-388	138	7	-	-	NOUN
cuesj-388	138	8	ray	ray	NOUN
cuesj-388	138	9	images	image	NOUN
cuesj-388	138	10	using	use	VERB
cuesj-388	138	11	detrac	detrac	NOUN
cuesj-388	138	12	deep	deep	ADJ
cuesj-388	138	13	convolutional	convolutional	ADJ
cuesj-388	138	14	neural	neural	ADJ
cuesj-388	138	15	network	network	NOUN
cuesj-388	138	16	.	.	PUNCT
cuesj-388	139	1	applied	apply	VERB
cuesj-388	139	2	intelligence	intelligence	NOUN
cuesj-388	139	3	,	,	PUNCT
cuesj-388	139	4	vol	vol	NOUN
cuesj-388	139	5	.	.	PROPN
cuesj-388	139	6	51	51	NUM
cuesj-388	139	7	,	,	PUNCT
cuesj-388	139	8	no	no	INTJ
cuesj-388	139	9	.	.	NOUN
cuesj-388	139	10	2	2	NUM
cuesj-388	139	11	,	,	PUNCT
cuesj-388	139	12	pp	pp	ADJ
cuesj-388	139	13	.	.	PUNCT
cuesj-388	140	1	854	854	NUM
cuesj-388	140	2	-	-	SYM
cuesj-388	140	3	864	864	NUM
cuesj-388	140	4	,	,	PUNCT
cuesj-388	140	5	2021	2021	NUM
cuesj-388	140	6	.	.	PUNCT
cuesj-388	141	1	10	10	NUM
cuesj-388	141	2	.	.	PUNCT
cuesj-388	142	1	k.	k.	PROPN
cuesj-388	142	2	purohit	purohit	PROPN
cuesj-388	142	3	,	,	PUNCT
cuesj-388	142	4	a.	a.	PROPN
cuesj-388	142	5	kesarwani	kesarwani	PROPN
cuesj-388	142	6	,	,	PUNCT
cuesj-388	142	7	d.	d.	PROPN
cuesj-388	142	8	r.	r.	PROPN
cuesj-388	142	9	kisku	kisku	PROPN
cuesj-388	142	10	,	,	PUNCT
cuesj-388	142	11	and	and	CCONJ
cuesj-388	142	12	m.	m.	NOUN
cuesj-388	142	13	dalui	dalui	NOUN
cuesj-388	142	14	.	.	PUNCT
cuesj-388	143	1	covid-19	covid-19	PROPN
cuesj-388	143	2	detection	detection	NOUN
cuesj-388	143	3	on	on	ADP
cuesj-388	143	4	chest	chest	NOUN
cuesj-388	143	5	x	x	NOUN
cuesj-388	143	6	-	-	NOUN
cuesj-388	143	7	ray	ray	NOUN
cuesj-388	143	8	and	and	CCONJ
cuesj-388	143	9	ct	ct	NOUN
cuesj-388	143	10	scan	scan	ADJ
cuesj-388	143	11	images	image	NOUN
cuesj-388	143	12	using	use	VERB
cuesj-388	143	13	multi	multi	ADJ
cuesj-388	143	14	-	-	ADJ
cuesj-388	143	15	image	image	ADJ
cuesj-388	143	16	augmented	augment	VERB
cuesj-388	143	17	deep	deep	ADJ
cuesj-388	143	18	learning	learning	NOUN
cuesj-388	143	19	model	model	NOUN
cuesj-388	143	20	.	.	PUNCT
cuesj-388	144	1	biorxiv	biorxiv	NOUN
cuesj-388	144	2	.	.	PUNCT
cuesj-388	145	1	vol	vol	NOUN
cuesj-388	145	2	.	.	PROPN
cuesj-388	146	1	1	1	NUM
cuesj-388	146	2	,	,	PUNCT
cuesj-388	146	3	p.	p.	NOUN
cuesj-388	146	4	205567	205567	NUM
cuesj-388	146	5	,	,	PUNCT
cuesj-388	146	6	2020	2020	NUM
cuesj-388	146	7	.	.	PUNCT
cuesj-388	147	1	11	11	NUM
cuesj-388	147	2	.	.	PUNCT
cuesj-388	147	3	a.	a.	NOUN
cuesj-388	147	4	narin	narin	PROPN
cuesj-388	147	5	,	,	PUNCT
cuesj-388	147	6	c.	c.	PROPN
cuesj-388	147	7	kaya	kaya	PROPN
cuesj-388	147	8	,	,	PUNCT
cuesj-388	147	9	and	and	CCONJ
cuesj-388	147	10	z.	z.	PROPN
cuesj-388	147	11	pamuk	pamuk	PROPN
cuesj-388	147	12	.	.	PUNCT
cuesj-388	148	1	automatic	automatic	ADJ
cuesj-388	148	2	detection	detection	NOUN
cuesj-388	148	3	of	of	ADP
cuesj-388	148	4	coronavirus	coronavirus	NOUN
cuesj-388	148	5	disease	disease	NOUN
cuesj-388	148	6	(	(	PUNCT
cuesj-388	148	7	covid-19	covid-19	PROPN
cuesj-388	148	8	)	)	PUNCT
cuesj-388	148	9	using	use	VERB
cuesj-388	148	10	x	x	NOUN
cuesj-388	148	11	-	-	NOUN
cuesj-388	148	12	ray	ray	NOUN
cuesj-388	148	13	images	image	NOUN
cuesj-388	148	14	and	and	CCONJ
cuesj-388	148	15	deep	deep	ADJ
cuesj-388	148	16	convolutional	convolutional	ADJ
cuesj-388	148	17	neural	neural	ADJ
cuesj-388	148	18	networks	network	NOUN
cuesj-388	148	19	.	.	PUNCT
cuesj-388	149	1	pattern	pattern	NOUN
cuesj-388	149	2	analysis	analysis	NOUN
cuesj-388	149	3	and	and	CCONJ
cuesj-388	149	4	applications	application	NOUN
cuesj-388	149	5	,	,	PUNCT
cuesj-388	149	6	vol	vol	NOUN
cuesj-388	149	7	.	.	PROPN
cuesj-388	149	8	24	24	NUM
cuesj-388	149	9	,	,	PUNCT
cuesj-388	149	10	pp	pp	ADJ
cuesj-388	149	11	.	.	PUNCT
cuesj-388	150	1	1207	1207	NUM
cuesj-388	150	2	-	-	SYM
cuesj-388	150	3	1220	1220	NUM
cuesj-388	150	4	,	,	PUNCT
cuesj-388	150	5	2021	2021	NUM
cuesj-388	150	6	.	.	PUNCT
cuesj-388	151	1	12	12	NUM
cuesj-388	151	2	.	.	PUNCT
cuesj-388	152	1	k.	k.	PROPN
cuesj-388	153	1	el	el	PROPN
cuesj-388	153	2	asnaoui	asnaoui	PROPN
cuesj-388	153	3	,	,	PUNCT
cuesj-388	153	4	and	and	CCONJ
cuesj-388	153	5	y.	y.	PROPN
cuesj-388	153	6	chawki	chawki	PROPN
cuesj-388	153	7	.	.	PUNCT
cuesj-388	154	1	using	use	VERB
cuesj-388	154	2	x	x	NOUN
cuesj-388	154	3	-	-	NOUN
cuesj-388	154	4	ray	ray	NOUN
cuesj-388	154	5	images	image	NOUN
cuesj-388	154	6	and	and	CCONJ
cuesj-388	154	7	deep	deep	ADJ
cuesj-388	154	8	learning	learning	NOUN
cuesj-388	154	9	for	for	ADP
cuesj-388	154	10	automated	automate	VERB
cuesj-388	154	11	detection	detection	NOUN
cuesj-388	154	12	of	of	ADP
cuesj-388	154	13	coronavirus	coronavirus	NOUN
cuesj-388	154	14	disease	disease	NOUN
cuesj-388	154	15	.	.	PUNCT
cuesj-388	155	1	journal	journal	NOUN
cuesj-388	155	2	of	of	ADP
cuesj-388	155	3	biomolecular	biomolecular	ADJ
cuesj-388	155	4	structure	structure	NOUN
cuesj-388	155	5	and	and	CCONJ
cuesj-388	155	6	dynamics	dynamic	NOUN
cuesj-388	155	7	,	,	PUNCT
cuesj-388	155	8	vol	vol	NOUN
cuesj-388	155	9	.	.	PROPN
cuesj-388	155	10	39	39	NUM
cuesj-388	155	11	,	,	PUNCT
cuesj-388	155	12	no	no	INTJ
cuesj-388	155	13	.	.	NOUN
cuesj-388	155	14	10	10	NUM
cuesj-388	155	15	,	,	PUNCT
cuesj-388	155	16	pp	pp	ADJ
cuesj-388	155	17	.	.	PUNCT
cuesj-388	155	18	36153626	36153626	NUM
cuesj-388	155	19	,	,	PUNCT
cuesj-388	155	20	2020	2020	NUM
cuesj-388	155	21	.	.	PUNCT
cuesj-388	156	1	13	13	NUM
cuesj-388	156	2	.	.	PUNCT
cuesj-388	156	3	s.	s.	PROPN
cuesj-388	156	4	h.	h.	PROPN
cuesj-388	156	5	wady	wady	PROPN
cuesj-388	156	6	,	,	PUNCT
cuesj-388	156	7	r.	r.	PROPN
cuesj-388	156	8	z.	z.	PROPN
cuesj-388	156	9	yousif	yousif	PROPN
cuesj-388	156	10	,	,	PUNCT
cuesj-388	156	11	and	and	CCONJ
cuesj-388	156	12	h.	h.	PROPN
cuesj-388	156	13	r.	r.	PROPN
cuesj-388	156	14	hasan	hasan	PROPN
cuesj-388	156	15	.	.	PUNCT
cuesj-388	157	1	a	a	DET
cuesj-388	157	2	novel	novel	ADJ
cuesj-388	157	3	intelligent	intelligent	ADJ
cuesj-388	157	4	system	system	NOUN
cuesj-388	157	5	for	for	ADP
cuesj-388	157	6	brain	brain	NOUN
cuesj-388	157	7	tumor	tumor	NOUN
cuesj-388	157	8	diagnosis	diagnosis	NOUN
cuesj-388	157	9	based	base	VERB
cuesj-388	157	10	on	on	ADP
cuesj-388	157	11	a	a	DET
cuesj-388	157	12	composite	composite	ADJ
cuesj-388	157	13	neutrosophic	neutrosophic	ADJ
cuesj-388	157	14	-	-	PUNCT
cuesj-388	157	15	slantlet	slantlet	NOUN
cuesj-388	157	16	transform	transform	NOUN
cuesj-388	157	17	domain	domain	NOUN
cuesj-388	157	18	for	for	ADP
cuesj-388	157	19	statistical	statistical	ADJ
cuesj-388	157	20	texture	texture	NOUN
cuesj-388	157	21	feature	feature	NOUN
cuesj-388	157	22	extraction	extraction	NOUN
cuesj-388	157	23	.	.	PUNCT
cuesj-388	157	24	biomed	biome	VERB
cuesj-388	157	25	research	research	NOUN
cuesj-388	157	26	international	international	ADJ
cuesj-388	157	27	,	,	PUNCT
cuesj-388	157	28	vol	vol	NOUN
cuesj-388	157	29	.	.	PUNCT
cuesj-388	157	30	2020	2020	NUM
cuesj-388	157	31	,	,	PUNCT
cuesj-388	157	32	p.	p.	NOUN
cuesj-388	157	33	8125392	8125392	NUM
cuesj-388	157	34	,	,	PUNCT
cuesj-388	157	35	2020	2020	NUM
cuesj-388	157	36	.	.	PUNCT
cuesj-388	158	1	14	14	NUM
cuesj-388	158	2	.	.	PUNCT
cuesj-388	158	3	b.	b.	PROPN
cuesj-388	158	4	n.	n.	PROPN
cuesj-388	158	5	s.	s.	PROPN
cuesj-388	158	6	mohammed	mohammed	PROPN
cuesj-388	158	7	,	,	PUNCT
cuesj-388	158	8	and	and	CCONJ
cuesj-388	158	9	r.	r.	PROPN
cuesj-388	158	10	z.	z.	PROPN
cuesj-388	158	11	yousif	yousif	PROPN
cuesj-388	158	12	.	.	PUNCT
cuesj-388	159	1	intelligent	intelligent	ADJ
cuesj-388	159	2	system	system	NOUN
cuesj-388	159	3	for	for	ADP
cuesj-388	159	4	screening	screen	VERB
cuesj-388	159	5	diabetic	diabetic	ADJ
cuesj-388	159	6	retinopathy	retinopathy	NOUN
cuesj-388	159	7	by	by	ADP
cuesj-388	159	8	using	use	VERB
cuesj-388	159	9	neutrosophic	neutrosophic	ADJ
cuesj-388	159	10	and	and	CCONJ
cuesj-388	159	11	statistical	statistical	ADJ
cuesj-388	159	12	fundus	fundus	NOUN
cuesj-388	159	13	image	image	NOUN
cuesj-388	159	14	features	feature	NOUN
cuesj-388	159	15	.	.	PUNCT
cuesj-388	160	1	zanco	zanco	PROPN
cuesj-388	160	2	journal	journal	PROPN
cuesj-388	160	3	of	of	ADP
cuesj-388	160	4	pure	pure	ADJ
cuesj-388	160	5	and	and	CCONJ
cuesj-388	160	6	applied	applied	ADJ
cuesj-388	160	7	sciences	science	NOUN
cuesj-388	160	8	,	,	PUNCT
cuesj-388	160	9	vol	vol	NOUN
cuesj-388	160	10	.	.	PROPN
cuesj-388	160	11	31	31	NUM
cuesj-388	160	12	,	,	PUNCT
cuesj-388	160	13	no	no	INTJ
cuesj-388	160	14	.	.	NOUN
cuesj-388	160	15	6	6	NUM
cuesj-388	160	16	,	,	PUNCT
cuesj-388	160	17	pp	pp	ADJ
cuesj-388	160	18	.	.	PUNCT
cuesj-388	161	1	30	30	NUM
cuesj-388	161	2	-	-	SYM
cuesj-388	161	3	39	39	NUM
cuesj-388	161	4	,	,	PUNCT
cuesj-388	161	5	2019	2019	NUM
cuesj-388	161	6	.	.	PUNCT
cuesj-388	162	1	15	15	NUM
cuesj-388	162	2	.	.	PUNCT
cuesj-388	162	3	a.	a.	PROPN
cuesj-388	162	4	malhotra	malhotra	PROPN
cuesj-388	162	5	,	,	PUNCT
cuesj-388	162	6	a.	a.	NOUN
cuesj-388	162	7	sankaran	sankaran	NOUN
cuesj-388	162	8	,	,	PUNCT
cuesj-388	162	9	a.	a.	NOUN
cuesj-388	162	10	mittal	mittal	PROPN
cuesj-388	162	11	,	,	PUNCT
cuesj-388	162	12	m.	m.	NOUN
cuesj-388	162	13	vatsa	vatsa	NOUN
cuesj-388	162	14	,	,	PUNCT
cuesj-388	162	15	and	and	CCONJ
cuesj-388	162	16	r.	r.	PROPN
cuesj-388	162	17	singh	singh	PROPN
cuesj-388	162	18	.	.	PUNCT
cuesj-388	163	1	fingerphoto	fingerphoto	NOUN
cuesj-388	163	2	authentication	authentication	NOUN
cuesj-388	163	3	using	use	VERB
cuesj-388	163	4	smartphone	smartphone	NOUN
cuesj-388	163	5	camera	camera	NOUN
cuesj-388	163	6	captured	capture	VERB
cuesj-388	163	7	under	under	ADP
cuesj-388	163	8	varying	vary	VERB
cuesj-388	163	9	environmental	environmental	ADJ
cuesj-388	163	10	conditions	condition	NOUN
cuesj-388	163	11	.	.	PUNCT
cuesj-388	164	1	in	in	ADP
cuesj-388	164	2	:	:	PUNCT
cuesj-388	164	3	human	human	ADJ
cuesj-388	164	4	recognition	recognition	NOUN
cuesj-388	164	5	in	in	ADP
cuesj-388	164	6	unconstrained	unconstrained	ADJ
cuesj-388	164	7	environments	environment	NOUN
cuesj-388	164	8	:	:	PUNCT
cuesj-388	164	9	using	use	VERB
cuesj-388	164	10	computer	computer	NOUN
cuesj-388	164	11	vision	vision	NOUN
cuesj-388	164	12	,	,	PUNCT
cuesj-388	164	13	pattern	pattern	NOUN
cuesj-388	164	14	recognition	recognition	NOUN
cuesj-388	164	15	and	and	CCONJ
cuesj-388	164	16	machine	machine	NOUN
cuesj-388	164	17	learning	learning	NOUN
cuesj-388	164	18	methods	method	NOUN
cuesj-388	164	19	for	for	ADP
cuesj-388	164	20	biometrics	biometric	NOUN
cuesj-388	164	21	.	.	PUNCT
cuesj-388	165	1	netherlands	netherlands	PROPN
cuesj-388	165	2	:	:	PUNCT
cuesj-388	166	1	elsevier	elsevier	NOUN
cuesj-388	166	2	,	,	PUNCT
cuesj-388	166	3	pp	pp	ADJ
cuesj-388	166	4	.	.	PUNCT
cuesj-388	167	1	119	119	NUM
cuesj-388	167	2	-	-	SYM
cuesj-388	167	3	144	144	NUM
cuesj-388	167	4	,	,	PUNCT
cuesj-388	167	5	2017	2017	NUM
cuesj-388	167	6	.	.	PUNCT
cuesj-388	168	1	16	16	NUM
cuesj-388	168	2	.	.	PUNCT
cuesj-388	169	1	y.	y.	PROPN
cuesj-388	169	2	cai	cai	PROPN
cuesj-388	169	3	,	,	PUNCT
cuesj-388	169	4	g.	g.	PROPN
cuesj-388	169	5	xu	xu	PROPN
cuesj-388	169	6	,	,	PUNCT
cuesj-388	169	7	a.	a.	PROPN
cuesj-388	169	8	li	li	PROPN
cuesj-388	169	9	,	,	PUNCT
cuesj-388	169	10	and	and	CCONJ
cuesj-388	169	11	x.	x.	PROPN
cuesj-388	169	12	wang	wang	PROPN
cuesj-388	169	13	.	.	PUNCT
cuesj-388	170	1	a	a	DET
cuesj-388	170	2	novel	novel	NOUN
cuesj-388	170	3	improved	improve	VERB
cuesj-388	170	4	local	local	ADJ
cuesj-388	170	5	binary	binary	ADJ
cuesj-388	170	6	pattern	pattern	NOUN
cuesj-388	170	7	and	and	CCONJ
cuesj-388	170	8	its	its	PRON
cuesj-388	170	9	application	application	NOUN
cuesj-388	170	10	to	to	ADP
cuesj-388	170	11	the	the	DET
cuesj-388	170	12	fault	fault	NOUN
cuesj-388	170	13	diagnosis	diagnosis	NOUN
cuesj-388	170	14	of	of	ADP
cuesj-388	170	15	diesel	diesel	NOUN
cuesj-388	170	16	engine	engine	NOUN
cuesj-388	170	17	.	.	PUNCT
cuesj-388	171	1	shock	shock	NOUN
cuesj-388	171	2	and	and	CCONJ
cuesj-388	171	3	vibration	vibration	NOUN
cuesj-388	171	4	,	,	PUNCT
cuesj-388	171	5	vol	vol	NOUN
cuesj-388	171	6	.	.	PUNCT
cuesj-388	172	1	2020	2020	NUM
cuesj-388	172	2	,	,	PUNCT
cuesj-388	172	3	p.	p.	NOUN
cuesj-388	172	4	9830162	9830162	NUM
cuesj-388	172	5	,	,	PUNCT
cuesj-388	172	6	2020	2020	NUM
cuesj-388	172	7	.	.	PUNCT
cuesj-388	173	1	17	17	NUM
cuesj-388	173	2	.	.	PUNCT
cuesj-388	173	3	m.	m.	PROPN
cuesj-388	173	4	l.	l.	PROPN
cuesj-388	173	5	bermingham	bermingham	PROPN
cuesj-388	173	6	,	,	PUNCT
cuesj-388	173	7	r.	r.	PROPN
cuesj-388	173	8	pong	pong	PROPN
cuesj-388	173	9	-	-	PUNCT
cuesj-388	173	10	wong	wong	PROPN
cuesj-388	173	11	,	,	PUNCT
cuesj-388	173	12	a.	a.	NOUN
cuesj-388	173	13	spiliopoulou	spiliopoulou	PROPN
cuesj-388	173	14	,	,	PUNCT
cuesj-388	173	15	c.	c.	PROPN
cuesj-388	173	16	hayward	hayward	PROPN
cuesj-388	173	17	,	,	PUNCT
cuesj-388	173	18	i.	i.	PROPN
cuesj-388	173	19	rudan	rudan	PROPN
cuesj-388	173	20	,	,	PUNCT
cuesj-388	173	21	h.	h.	PROPN
cuesj-388	173	22	campbell	campbell	PROPN
cuesj-388	173	23	,	,	PUNCT
cuesj-388	173	24	a.	a.	PROPN
cuesj-388	173	25	f.	f.	PROPN
cuesj-388	173	26	wright	wright	PROPN
cuesj-388	173	27	,	,	PUNCT
cuesj-388	173	28	j.	j.	PROPN
cuesj-388	173	29	f.	f.	PROPN
cuesj-388	173	30	wilson	wilson	PROPN
cuesj-388	173	31	,	,	PUNCT
cuesj-388	173	32	f.	f.	PROPN
cuesj-388	173	33	agakov	agakov	PROPN
cuesj-388	173	34	,	,	PUNCT
cuesj-388	173	35	p.	p.	NOUN
cuesj-388	173	36	navarro	navarro	PROPN
cuesj-388	173	37	,	,	PUNCT
cuesj-388	173	38	and	and	CCONJ
cuesj-388	173	39	c.	c.	PROPN
cuesj-388	173	40	s.	s.	PROPN
cuesj-388	173	41	haley	haley	PROPN
cuesj-388	173	42	.	.	PUNCT
cuesj-388	174	1	application	application	NOUN
cuesj-388	174	2	of	of	ADP
cuesj-388	174	3	high	high	ADJ
cuesj-388	174	4	-	-	PUNCT
cuesj-388	174	5	dimensional	dimensional	ADJ
cuesj-388	174	6	feature	feature	NOUN
cuesj-388	174	7	selection	selection	NOUN
cuesj-388	174	8	:	:	PUNCT
cuesj-388	174	9	evaluation	evaluation	NOUN
cuesj-388	174	10	for	for	ADP
cuesj-388	174	11	genomic	genomic	ADJ
cuesj-388	174	12	prediction	prediction	NOUN
cuesj-388	174	13	in	in	ADP
cuesj-388	174	14	man	man	NOUN
cuesj-388	174	15	.	.	PUNCT
cuesj-388	175	1	scientific	scientific	ADJ
cuesj-388	175	2	reports	report	NOUN
cuesj-388	175	3	,	,	PUNCT
cuesj-388	175	4	vol	vol	NOUN
cuesj-388	175	5	.	.	PROPN
cuesj-388	175	6	5	5	NUM
cuesj-388	175	7	,	,	PUNCT
cuesj-388	175	8	p.	p.	NOUN
cuesj-388	175	9	151	151	NUM
cuesj-388	175	10	,	,	PUNCT
cuesj-388	175	11	2015	2015	NUM
cuesj-388	175	12	.	.	PUNCT
cuesj-388	176	1	18	18	NUM
cuesj-388	176	2	.	.	PUNCT
cuesj-388	176	3	s.	s.	PROPN
cuesj-388	176	4	w.	w.	PROPN
cuesj-388	176	5	lin	lin	PROPN
cuesj-388	176	6	,	,	PUNCT
cuesj-388	176	7	k.	k.	PROPN
cuesj-388	176	8	c.	c.	PROPN
cuesj-388	176	9	ying	ying	PROPN
cuesj-388	176	10	,	,	PUNCT
cuesj-388	176	11	s.	s.	PROPN
cuesj-388	176	12	c.	c.	PROPN
cuesj-388	176	13	chen	chen	PROPN
cuesj-388	176	14	,	,	PUNCT
cuesj-388	176	15	and	and	CCONJ
cuesj-388	176	16	z.	z.	PROPN
cuesj-388	176	17	j.	j.	PROPN
cuesj-388	176	18	lee	lee	PROPN
cuesj-388	176	19	.	.	PROPN
cuesj-388	176	20	particle	particle	PROPN
cuesj-388	176	21	swarm	swarm	NOUN
cuesj-388	176	22	optimization	optimization	NOUN
cuesj-388	176	23	for	for	ADP
cuesj-388	176	24	parameter	parameter	NOUN
cuesj-388	176	25	determination	determination	NOUN
cuesj-388	176	26	and	and	CCONJ
cuesj-388	176	27	feature	feature	NOUN
cuesj-388	176	28	selection	selection	NOUN
cuesj-388	176	29	of	of	ADP
cuesj-388	176	30	support	support	NOUN
cuesj-388	176	31	vector	vector	NOUN
cuesj-388	176	32	machines	machine	NOUN
cuesj-388	176	33	.	.	PUNCT
cuesj-388	177	1	expert	expert	NOUN
cuesj-388	177	2	systems	system	NOUN
cuesj-388	177	3	with	with	ADP
cuesj-388	177	4	applications	application	NOUN
cuesj-388	177	5	,	,	PUNCT
cuesj-388	177	6	vol	vol	NOUN
cuesj-388	177	7	.	.	PROPN
cuesj-388	177	8	35	35	NUM
cuesj-388	177	9	,	,	PUNCT
cuesj-388	177	10	no	no	INTJ
cuesj-388	177	11	.	.	NOUN
cuesj-388	177	12	4	4	NUM
cuesj-388	177	13	,	,	PUNCT
cuesj-388	177	14	pp	pp	ADJ
cuesj-388	177	15	.	.	PUNCT
cuesj-388	178	1	1817	1817	NUM
cuesj-388	178	2	-	-	SYM
cuesj-388	178	3	1824	1824	NUM
cuesj-388	178	4	,	,	PUNCT
cuesj-388	178	5	2008	2008	NUM
cuesj-388	178	6	.	.	PUNCT
cuesj-388	179	1	19	19	NUM
cuesj-388	179	2	.	.	PUNCT
cuesj-388	180	1	j.	j.	PROPN
cuesj-388	180	2	too	too	ADV
cuesj-388	180	3	,	,	PUNCT
cuesj-388	180	4	a.	a.	PROPN
cuesj-388	180	5	r.	r.	PROPN
cuesj-388	180	6	abdullah	abdullah	PROPN
cuesj-388	180	7	,	,	PUNCT
cuesj-388	180	8	and	and	CCONJ
cuesj-388	180	9	n.	n.	PROPN
cuesj-388	180	10	m.	m.	NOUN
cuesj-388	180	11	saad	saad	PROPN
cuesj-388	180	12	.	.	PUNCT
cuesj-388	181	1	a	a	DET
cuesj-388	181	2	new	new	ADJ
cuesj-388	181	3	co	co	NOUN
cuesj-388	181	4	-	-	NOUN
cuesj-388	181	5	evolution	evolution	ADJ
cuesj-388	181	6	binary	binary	ADJ
cuesj-388	181	7	particle	particle	NOUN
cuesj-388	181	8	swarm	swarm	NOUN
cuesj-388	181	9	optimization	optimization	NOUN
cuesj-388	181	10	with	with	ADP
cuesj-388	181	11	multiple	multiple	ADJ
cuesj-388	181	12	inertia	inertia	NOUN
cuesj-388	181	13	weight	weight	NOUN
cuesj-388	181	14	strategy	strategy	NOUN
cuesj-388	181	15	for	for	ADP
cuesj-388	181	16	feature	feature	NOUN
cuesj-388	181	17	selection	selection	NOUN
cuesj-388	181	18	.	.	PUNCT
cuesj-388	182	1	informatics	informatic	NOUN
cuesj-388	182	2	,	,	PUNCT
cuesj-388	182	3	vol	vol	NOUN
cuesj-388	182	4	.	.	PROPN
cuesj-388	182	5	6	6	NUM
cuesj-388	182	6	,	,	PUNCT
cuesj-388	182	7	no	no	INTJ
cuesj-388	182	8	.	.	NOUN
cuesj-388	182	9	2	2	NUM
cuesj-388	182	10	,	,	PUNCT
cuesj-388	182	11	p.	p.	NOUN
cuesj-388	182	12	21	21	NUM
cuesj-388	182	13	,	,	PUNCT
cuesj-388	182	14	2019	2019	NUM
cuesj-388	182	15	.	.	PUNCT
cuesj-388	183	1	20	20	NUM
cuesj-388	183	2	.	.	X
cuesj-388	184	1	v.	v.	CCONJ
cuesj-388	184	2	kothari	kothari	PROPN
cuesj-388	184	3	,	,	PUNCT
cuesj-388	184	4	j.	j.	PROPN
cuesj-388	184	5	anuradha	anuradha	PROPN
cuesj-388	184	6	,	,	PUNCT
cuesj-388	184	7	s.	s.	PROPN
cuesj-388	184	8	shah	shah	PROPN
cuesj-388	184	9	,	,	PUNCT
cuesj-388	184	10	and	and	CCONJ
cuesj-388	184	11	p.	p.	PROPN
cuesj-388	184	12	mittal	mittal	PROPN
cuesj-388	184	13	.	.	PUNCT
cuesj-388	185	1	a	a	DET
cuesj-388	185	2	survey	survey	NOUN
cuesj-388	185	3	on	on	ADP
cuesj-388	185	4	particle	particle	NOUN
cuesj-388	185	5	swarm	swarm	NOUN
cuesj-388	185	6	optimization	optimization	NOUN
cuesj-388	185	7	in	in	ADP
cuesj-388	185	8	feature	feature	NOUN
cuesj-388	185	9	selection	selection	NOUN
cuesj-388	185	10	.	.	PUNCT
cuesj-388	186	1	in	in	ADP
cuesj-388	186	2	communications	communication	NOUN
cuesj-388	186	3	in	in	ADP
cuesj-388	186	4	computer	computer	NOUN
cuesj-388	186	5	and	and	CCONJ
cuesj-388	186	6	information	information	NOUN
cuesj-388	186	7	science	science	NOUN
cuesj-388	186	8	,	,	PUNCT
cuesj-388	186	9	vol	vol	NOUN
cuesj-388	186	10	.	.	PROPN
cuesj-388	186	11	270	270	NUM
cuesj-388	186	12	,	,	PUNCT
cuesj-388	186	13	pp	pp	ADJ
cuesj-388	186	14	.	.	PUNCT
cuesj-388	187	1	192	192	NUM
cuesj-388	187	2	-	-	SYM
cuesj-388	187	3	201	201	NUM
cuesj-388	187	4	,	,	PUNCT
cuesj-388	187	5	2012	2012	NUM
cuesj-388	187	6	.	.	PUNCT
cuesj-388	188	1	21	21	NUM
cuesj-388	188	2	.	.	PUNCT
cuesj-388	188	3	l.	l.	PROPN
cuesj-388	188	4	r.	r.	PROPN
cuesj-388	188	5	fleah	fleah	PROPN
cuesj-388	188	6	and	and	CCONJ
cuesj-388	188	7	s.	s.	PROPN
cuesj-388	188	8	a.	a.	PROPN
cuesj-388	188	9	al	al	PROPN
cuesj-388	188	10	-	-	PUNCT
cuesj-388	188	11	aubi	aubi	PROPN
cuesj-388	188	12	.	.	PUNCT
cuesj-388	189	1	a	a	DET
cuesj-388	189	2	face	face	NOUN
cuesj-388	189	3	recognition	recognition	NOUN
cuesj-388	189	4	system	system	NOUN
cuesj-388	189	5	based	base	VERB
cuesj-388	189	6	on	on	ADP
cuesj-388	189	7	principal	principal	ADJ
cuesj-388	189	8	component	component	NOUN
cuesj-388	189	9	analysis	analysis	NOUN
cuesj-388	189	10	-	-	PUNCT
cuesj-388	189	11	wavelet	wavelet	NOUN
cuesj-388	189	12	and	and	CCONJ
cuesj-388	189	13	support	support	NOUN
cuesj-388	189	14	vector	vector	NOUN
cuesj-388	189	15	machines	machine	NOUN
cuesj-388	189	16	.	.	PUNCT
cuesj-388	190	1	cihan	cihan	VERB
cuesj-388	190	2	university	university	NOUN
cuesj-388	190	3	-	-	PUNCT
cuesj-388	190	4	erbil	erbil	PROPN
cuesj-388	190	5	scientific	scientific	ADJ
cuesj-388	190	6	journal	journal	NOUN
cuesj-388	190	7	,	,	PUNCT
cuesj-388	190	8	vol	vol	NOUN
cuesj-388	190	9	.	.	PROPN
cuesj-388	191	1	3	3	NUM
cuesj-388	191	2	,	,	PUNCT
cuesj-388	191	3	no	no	INTJ
cuesj-388	191	4	.	.	NOUN
cuesj-388	191	5	2	2	NUM
cuesj-388	191	6	,	,	PUNCT
cuesj-388	191	7	pp	pp	ADJ
cuesj-388	191	8	.	.	PUNCT
cuesj-388	192	1	14	14	NUM
cuesj-388	192	2	-	-	SYM
cuesj-388	192	3	20	20	NUM
cuesj-388	192	4	,	,	PUNCT
cuesj-388	192	5	2019	2019	NUM
cuesj-388	192	6	.	.	PUNCT
cuesj-388	193	1	22	22	NUM
cuesj-388	193	2	.	.	PUNCT
cuesj-388	193	3	r.	r.	PROPN
cuesj-388	193	4	nisbet	nisbet	PROPN
cuesj-388	193	5	,	,	PUNCT
cuesj-388	193	6	g.	g.	PROPN
cuesj-388	193	7	miner	miner	PROPN
cuesj-388	193	8	,	,	PUNCT
cuesj-388	193	9	and	and	CCONJ
cuesj-388	193	10	k.	k.	PROPN
cuesj-388	193	11	yale	yale	PROPN
cuesj-388	193	12	.	.	PUNCT
cuesj-388	194	1	handbook	handbook	NOUN
cuesj-388	194	2	of	of	ADP
cuesj-388	194	3	statistical	statistical	ADJ
cuesj-388	194	4	analysis	analysis	NOUN
cuesj-388	194	5	and	and	CCONJ
cuesj-388	194	6	data	datum	NOUN
cuesj-388	194	7	mining	mining	NOUN
cuesj-388	194	8	applications	application	NOUN
cuesj-388	194	9	.	.	PUNCT
cuesj-388	195	1	cambridge	cambridge	PROPN
cuesj-388	195	2	,	,	PUNCT
cuesj-388	195	3	massachusetts	massachusetts	PROPN
cuesj-388	195	4	:	:	PUNCT
cuesj-388	195	5	academic	academic	ADJ
cuesj-388	195	6	press	press	NOUN
cuesj-388	195	7	,	,	PUNCT
cuesj-388	195	8	2017	2017	NUM
cuesj-388	195	9	.	.	PUNCT
cuesj-388	196	1	23	23	NUM
cuesj-388	196	2	.	.	PUNCT
cuesj-388	197	1	s.	s.	PROPN
cuesj-388	197	2	jang	jang	PROPN
cuesj-388	197	3	,	,	PUNCT
cuesj-388	197	4	y.	y.	PROPN
cuesj-388	197	5	e.	e.	PROPN
cuesj-388	197	6	jang	jang	PROPN
cuesj-388	197	7	,	,	PUNCT
cuesj-388	197	8	y.	y.	PROPN
cuesj-388	197	9	j.	j.	PROPN
cuesj-388	197	10	kim	kim	PROPN
cuesj-388	197	11	,	,	PUNCT
cuesj-388	197	12	and	and	CCONJ
cuesj-388	197	13	h.	h.	PROPN
cuesj-388	197	14	yu	yu	PROPN
cuesj-388	197	15	.	.	PROPN
cuesj-388	198	1	input	input	PROPN
cuesj-388	198	2	initialization	initialization	NOUN
cuesj-388	198	3	for	for	ADP
cuesj-388	198	4	inversion	inversion	NOUN
cuesj-388	198	5	of	of	ADP
cuesj-388	198	6	neural	neural	ADJ
cuesj-388	198	7	networks	network	NOUN
cuesj-388	198	8	using	use	VERB
cuesj-388	198	9	k	k	NOUN
cuesj-388	198	10	-	-	PUNCT
cuesj-388	198	11	nearest	near	ADJ
cuesj-388	198	12	neighbor	neighbor	NOUN
cuesj-388	198	13	approach	approach	NOUN
cuesj-388	198	14	.	.	PUNCT
cuesj-388	199	1	information	information	NOUN
cuesj-388	199	2	science	science	PROPN
cuesj-388	199	3	,	,	PUNCT
cuesj-388	199	4	vol	vol	NOUN
cuesj-388	199	5	.	.	PROPN
cuesj-388	200	1	519	519	NUM
cuesj-388	200	2	,	,	PUNCT
cuesj-388	200	3	pp	pp	ADJ
cuesj-388	200	4	.	.	PUNCT
cuesj-388	201	1	229	229	NUM
cuesj-388	201	2	-	-	SYM
cuesj-388	201	3	242	242	NUM
cuesj-388	201	4	,	,	PUNCT
cuesj-388	201	5	2020	2020	NUM
cuesj-388	201	6	.	.	PUNCT
cuesj-388	202	1	24	24	NUM
cuesj-388	202	2	.	.	PUNCT
cuesj-388	203	1	e.	e.	PROPN
cuesj-388	203	2	el	el	PROPN
cuesj-388	203	3	-	-	PROPN
cuesj-388	203	4	din	din	PROPN
cuesj-388	203	5	hemdan	hemdan	PROPN
cuesj-388	203	6	,	,	PUNCT
cuesj-388	203	7	m.	m.	NOUN
cuesj-388	203	8	a.	a.	NOUN
cuesj-388	203	9	shouman	shouman	PROPN
cuesj-388	203	10	and	and	CCONJ
cuesj-388	203	11	m.	m.	PROPN
cuesj-388	203	12	e.	e.	PROPN
cuesj-388	203	13	karar	karar	PROPN
cuesj-388	203	14	.	.	PUNCT
cuesj-388	203	15	covidx	covidx	NOUN
cuesj-388	203	16	-	-	PUNCT
cuesj-388	203	17	net	net	NOUN
cuesj-388	203	18	:	:	PUNCT
cuesj-388	203	19	a	a	DET
cuesj-388	203	20	framework	framework	NOUN
cuesj-388	203	21	of	of	ADP
cuesj-388	203	22	deep	deep	ADJ
cuesj-388	203	23	learning	learning	NOUN
cuesj-388	203	24	classifiers	classifier	NOUN
cuesj-388	203	25	to	to	PART
cuesj-388	203	26	diagnose	diagnose	VERB
cuesj-388	203	27	covid-19	covid-19	PROPN
cuesj-388	203	28	in	in	ADP
cuesj-388	203	29	x	x	NOUN
cuesj-388	203	30	-	-	NOUN
cuesj-388	203	31	ray	ray	NOUN
cuesj-388	203	32	images	image	NOUN
cuesj-388	203	33	.	.	PUNCT
cuesj-388	204	1	arxiv	arxiv	PROPN
cuesj-388	204	2	,	,	PUNCT
cuesj-388	204	3	vol	vol	NOUN
cuesj-388	204	4	.	.	PROPN
cuesj-388	204	5	2003	2003	NUM
cuesj-388	204	6	,	,	PUNCT
cuesj-388	204	7	p.	p.	NOUN
cuesj-388	204	8	11055	11055	NUM
cuesj-388	204	9	,	,	PUNCT
cuesj-388	204	10	2020	2020	NUM
cuesj-388	204	11	.	.	PUNCT
cuesj-388	205	1	25	25	NUM
cuesj-388	205	2	.	.	PUNCT
cuesj-388	205	3	d.	d.	PROPN
cuesj-388	205	4	r.	r.	PROPN
cuesj-388	205	5	j.	j.	PROPN
cuesj-388	205	6	ramteke	ramteke	PROPN
cuesj-388	205	7	,	,	PUNCT
cuesj-388	205	8	and	and	CCONJ
cuesj-388	205	9	k.	k.	PROPN
cuesj-388	205	10	y.	y.	PROPN
cuesj-388	205	11	monali	monali	PROPN
cuesj-388	205	12	.	.	PUNCT
cuesj-388	206	1	automatic	automatic	ADJ
cuesj-388	206	2	medical	medical	ADJ
cuesj-388	206	3	image	image	NOUN
cuesj-388	206	4	classification	classification	NOUN
cuesj-388	206	5	and	and	CCONJ
cuesj-388	206	6	abnormality	abnormality	NOUN
cuesj-388	206	7	detection	detection	NOUN
cuesj-388	206	8	using	use	VERB
cuesj-388	206	9	k	k	PROPN
cuesj-388	206	10	-	-	PUNCT
cuesj-388	206	11	nearest	near	ADJ
cuesj-388	206	12	neighbour	neighbour	NOUN
cuesj-388	206	13	.	.	PUNCT
cuesj-388	207	1	international	international	ADJ
cuesj-388	207	2	journal	journal	PROPN
cuesj-388	207	3	of	of	ADP
cuesj-388	207	4	advanced	advanced	ADJ
cuesj-388	207	5	computer	computer	NOUN
cuesj-388	207	6	research	research	NOUN
cuesj-388	207	7	,	,	PUNCT
cuesj-388	207	8	vol	vol	NOUN
cuesj-388	207	9	.	.	PROPN
cuesj-388	207	10	2	2	NUM
cuesj-388	207	11	,	,	PUNCT
cuesj-388	207	12	no	no	DET
cuesj-388	207	13	4	4	NUM
cuesj-388	207	14	,	,	PUNCT
cuesj-388	207	15	p.	p.	NOUN
cuesj-388	207	16	6	6	NUM
cuesj-388	207	17	,	,	PUNCT
cuesj-388	207	18	2012	2012	NUM
cuesj-388	207	19	.	.	PUNCT
cuesj-388	208	1	26	26	NUM
cuesj-388	208	2	.	.	PUNCT
cuesj-388	209	1	s.	s.	PROPN
cuesj-388	209	2	baity	baity	PROPN
cuesj-388	209	3	.	.	PUNCT
cuesj-388	210	1	covid-19	covid-19	PROPN
cuesj-388	210	2	detection	detection	NOUN
cuesj-388	210	3	for	for	ADP
cuesj-388	210	4	chest	chest	NOUN
cuesj-388	210	5	x	x	NOUN
cuesj-388	210	6	-	-	NOUN
cuesj-388	210	7	ray	ray	NOUN
cuesj-388	210	8	images	image	NOUN
cuesj-388	210	9	using	use	VERB
cuesj-388	210	10	local	local	ADJ
cuesj-388	210	11	binary	binary	ADJ
cuesj-388	210	12	pattern	pattern	NOUN
cuesj-388	210	13	.	.	PUNCT
cuesj-388	211	1	international	international	ADJ
cuesj-388	211	2	journal	journal	NOUN
cuesj-388	211	3	of	of	ADP
cuesj-388	211	4	emerging	emerge	VERB
cuesj-388	211	5	trends	trend	NOUN
cuesj-388	211	6	in	in	ADP
cuesj-388	211	7	engineering	engineering	NOUN
cuesj-388	211	8	research	research	NOUN
cuesj-388	211	9	,	,	PUNCT
cuesj-388	211	10	vol	vol	NOUN
cuesj-388	211	11	.	.	PROPN
cuesj-388	211	12	8	8	NUM
cuesj-388	211	13	,	,	PUNCT
cuesj-388	211	14	pp	pp	ADJ
cuesj-388	211	15	.	.	PUNCT
cuesj-388	212	1	78	78	NUM
cuesj-388	212	2	-	-	SYM
cuesj-388	212	3	81	81	NUM
cuesj-388	212	4	,	,	PUNCT
cuesj-388	212	5	2020	2020	NUM
cuesj-388	212	6	.	.	PUNCT