id	sid	tid	token	lemma	pos
cet-3942	1	1	chemical	chemical	NOUN
cet-3942	1	2	engineering	engineering	NOUN
cet-3942	1	3	transactions	transaction	NOUN
cet-3942	1	4	vol	vol	NOUN
cet-3942	1	5	.	.	PROPN
cet-3942	2	1	51	51	NUM
cet-3942	2	2	,	,	PUNCT
cet-3942	2	3	2016	2016	NUM
cet-3942	2	4	a	a	DET
cet-3942	2	5	publication	publication	NOUN
cet-3942	2	6	of	of	ADP
cet-3942	2	7	the	the	DET
cet-3942	2	8	italian	italian	ADJ
cet-3942	2	9	association	association	NOUN
cet-3942	2	10	of	of	ADP
cet-3942	2	11	chemical	chemical	PROPN
cet-3942	2	12	engineering	engineering	NOUN
cet-3942	2	13	online	online	ADV
cet-3942	2	14	at	at	ADP
cet-3942	2	15	www.aidic.it/cet	www.aidic.it/cet	PROPN
cet-3942	2	16	guest	guest	NOUN
cet-3942	2	17	editors	editor	NOUN
cet-3942	2	18	:	:	PUNCT
cet-3942	2	19	tichun	tichun	PROPN
cet-3942	2	20	wang	wang	PROPN
cet-3942	2	21	,	,	PUNCT
cet-3942	2	22	hongyang	hongyang	PROPN
cet-3942	2	23	zhang	zhang	PROPN
cet-3942	2	24	,	,	PUNCT
cet-3942	2	25	lei	lei	PROPN
cet-3942	2	26	tian	tian	ADJ
cet-3942	2	27	copyright	copyright	NOUN
cet-3942	2	28	©	©	PROPN
cet-3942	2	29	2016	2016	NUM
cet-3942	2	30	,	,	PUNCT
cet-3942	2	31	aidic	aidic	ADJ
cet-3942	2	32	servizi	servizi	PROPN
cet-3942	2	33	s.r.l	s.r.l	NOUN
cet-3942	2	34	.	.	PUNCT
cet-3942	2	35	,	,	PUNCT
cet-3942	2	36	isbn	isbn	PROPN
cet-3942	2	37	978	978	NUM
cet-3942	2	38	-	-	SYM
cet-3942	2	39	88	88	NUM
cet-3942	2	40	-	-	PUNCT
cet-3942	2	41	95608	95608	NUM
cet-3942	2	42	-	-	PUNCT
cet-3942	2	43	43	43	NUM
cet-3942	2	44	-	-	SYM
cet-3942	2	45	3	3	NUM
cet-3942	2	46	;	;	PUNCT
cet-3942	2	47	issn	issn	PROPN
cet-3942	2	48	2283	2283	NUM
cet-3942	2	49	-	-	SYM
cet-3942	2	50	9216	9216	NUM
cet-3942	2	51	study	study	NOUN
cet-3942	2	52	on	on	ADP
cet-3942	2	53	chaotic	chaotic	ADJ
cet-3942	2	54	neural	neural	ADJ
cet-3942	2	55	network	network	NOUN
cet-3942	2	56	and	and	CCONJ
cet-3942	2	57	its	its	PRON
cet-3942	2	58	application	application	NOUN
cet-3942	2	59	in	in	ADP
cet-3942	2	60	blood	blood	NOUN
cet-3942	2	61	cell	cell	NOUN
cet-3942	2	62	classification	classification	NOUN
cet-3942	2	63	of	of	ADP
cet-3942	2	64	medical	medical	ADJ
cet-3942	2	65	image	image	NOUN
cet-3942	2	66	limin	limin	PROPN
cet-3942	2	67	zhao	zhao	PROPN
cet-3942	2	68	*	*	PROPN
cet-3942	2	69	,	,	PUNCT
cet-3942	2	70	peng	peng	PROPN
cet-3942	2	71	yue	yue	PROPN
cet-3942	2	72	college	college	PROPN
cet-3942	2	73	of	of	ADP
cet-3942	2	74	management	management	PROPN
cet-3942	2	75	,	,	PUNCT
cet-3942	2	76	xinxiang	xinxiang	PROPN
cet-3942	2	77	medical	medical	PROPN
cet-3942	2	78	university	university	PROPN
cet-3942	2	79	,	,	PUNCT
cet-3942	2	80	xinxiang	xinxiang	PROPN
cet-3942	2	81	453002	453002	NUM
cet-3942	2	82	,	,	PUNCT
cet-3942	2	83	henan	henan	PROPN
cet-3942	2	84	,	,	PUNCT
cet-3942	2	85	china	china	PROPN
cet-3942	2	86	.	.	PUNCT
cet-3942	3	1	zhaoxxmu@163.com	zhaoxxmu@163.com	X
cet-3942	3	2	automatic	automatic	ADJ
cet-3942	3	3	analysis	analysis	NOUN
cet-3942	3	4	and	and	CCONJ
cet-3942	3	5	classification	classification	NOUN
cet-3942	3	6	of	of	ADP
cet-3942	3	7	blood	blood	NOUN
cet-3942	3	8	cell	cell	NOUN
cet-3942	3	9	image	image	NOUN
cet-3942	3	10	has	have	AUX
cet-3942	3	11	become	become	VERB
cet-3942	3	12	the	the	DET
cet-3942	3	13	main	main	ADJ
cet-3942	3	14	stream	stream	NOUN
cet-3942	3	15	of	of	ADP
cet-3942	3	16	blood	blood	NOUN
cet-3942	3	17	cell	cell	NOUN
cet-3942	3	18	automatic	automatic	ADJ
cet-3942	3	19	detection	detection	NOUN
cet-3942	3	20	technology	technology	NOUN
cet-3942	3	21	.	.	PUNCT
cet-3942	4	1	however	however	ADV
cet-3942	4	2	,	,	PUNCT
cet-3942	4	3	the	the	DET
cet-3942	4	4	automatic	automatic	ADJ
cet-3942	4	5	classification	classification	NOUN
cet-3942	4	6	of	of	ADP
cet-3942	4	7	blood	blood	NOUN
cet-3942	4	8	cell	cell	NOUN
cet-3942	4	9	image	image	NOUN
cet-3942	4	10	is	be	AUX
cet-3942	4	11	not	not	PART
cet-3942	4	12	very	very	ADV
cet-3942	4	13	good	good	ADJ
cet-3942	4	14	,	,	PUNCT
cet-3942	4	15	since	since	SCONJ
cet-3942	4	16	the	the	DET
cet-3942	4	17	large	large	ADJ
cet-3942	4	18	change	change	NOUN
cet-3942	4	19	of	of	ADP
cet-3942	4	20	blood	blood	NOUN
cet-3942	4	21	cell	cell	NOUN
cet-3942	4	22	concentration	concentration	NOUN
cet-3942	4	23	and	and	CCONJ
cet-3942	4	24	the	the	DET
cet-3942	4	25	shape	shape	NOUN
cet-3942	4	26	and	and	CCONJ
cet-3942	4	27	the	the	DET
cet-3942	4	28	variety	variety	NOUN
cet-3942	4	29	of	of	ADP
cet-3942	4	30	blood	blood	NOUN
cet-3942	4	31	cell	cell	NOUN
cet-3942	4	32	diseases	disease	NOUN
cet-3942	4	33	are	be	AUX
cet-3942	4	34	very	very	ADV
cet-3942	4	35	great	great	ADJ
cet-3942	4	36	.	.	PUNCT
cet-3942	5	1	for	for	ADP
cet-3942	5	2	improving	improve	VERB
cet-3942	5	3	the	the	DET
cet-3942	5	4	recognizing	recognize	VERB
cet-3942	5	5	accuracy	accuracy	NOUN
cet-3942	5	6	rate	rate	NOUN
cet-3942	5	7	,	,	PUNCT
cet-3942	5	8	we	we	PRON
cet-3942	5	9	have	have	AUX
cet-3942	5	10	developed	develop	VERB
cet-3942	5	11	the	the	DET
cet-3942	5	12	automatic	automatic	ADJ
cet-3942	5	13	procedure	procedure	NOUN
cet-3942	5	14	of	of	ADP
cet-3942	5	15	the	the	DET
cet-3942	5	16	cell	cell	NOUN
cet-3942	5	17	extraction	extraction	NOUN
cet-3942	5	18	which	which	PRON
cet-3942	5	19	uses	use	VERB
cet-3942	5	20	the	the	DET
cet-3942	5	21	strong	strong	ADJ
cet-3942	5	22	classifier	classifier	NOUN
cet-3942	5	23	power	power	NOUN
cet-3942	5	24	of	of	ADP
cet-3942	5	25	chaotic	chaotic	ADJ
cet-3942	5	26	neural	neural	ADJ
cet-3942	5	27	network	network	NOUN
cet-3942	5	28	(	(	PUNCT
cet-3942	5	29	cnn	cnn	PROPN
cet-3942	5	30	)	)	PUNCT
cet-3942	5	31	.	.	PUNCT
cet-3942	6	1	for	for	ADP
cet-3942	6	2	validating	validate	VERB
cet-3942	6	3	the	the	DET
cet-3942	6	4	efficiency	efficiency	NOUN
cet-3942	6	5	of	of	ADP
cet-3942	6	6	our	our	PRON
cet-3942	6	7	method	method	NOUN
cet-3942	6	8	,	,	PUNCT
cet-3942	6	9	comparative	comparative	ADJ
cet-3942	6	10	work	work	NOUN
cet-3942	6	11	has	have	AUX
cet-3942	6	12	been	be	AUX
cet-3942	6	13	performed	perform	VERB
cet-3942	6	14	for	for	ADP
cet-3942	6	15	svm	svm	PROPN
cet-3942	6	16	and	and	CCONJ
cet-3942	6	17	cnn	cnn	PROPN
cet-3942	6	18	on	on	ADP
cet-3942	6	19	the	the	DET
cet-3942	6	20	hep-2	hep-2	PUNCT
cet-3942	6	21	set	set	NOUN
cet-3942	6	22	of	of	ADP
cet-3942	6	23	blood	blood	NOUN
cet-3942	6	24	cell	cell	NOUN
cet-3942	6	25	image	image	NOUN
cet-3942	6	26	which	which	PRON
cet-3942	6	27	consist	consist	VERB
cet-3942	6	28	of	of	ADP
cet-3942	6	29	721	721	NUM
cet-3942	6	30	images	image	NOUN
cet-3942	6	31	which	which	PRON
cet-3942	6	32	belongs	belong	VERB
cet-3942	6	33	to	to	ADP
cet-3942	6	34	twelve	twelve	NUM
cet-3942	6	35	types	type	NOUN
cet-3942	6	36	and	and	CCONJ
cet-3942	6	37	widely	widely	ADV
cet-3942	6	38	used	use	VERB
cet-3942	6	39	.	.	PUNCT
cet-3942	7	1	experiment	experiment	NOUN
cet-3942	7	2	result	result	NOUN
cet-3942	7	3	shows	show	VERB
cet-3942	7	4	that	that	SCONJ
cet-3942	7	5	the	the	DET
cet-3942	7	6	procedure	procedure	NOUN
cet-3942	7	7	proposed	propose	VERB
cet-3942	7	8	in	in	ADP
cet-3942	7	9	this	this	DET
cet-3942	7	10	paper	paper	NOUN
cet-3942	7	11	outperforms	outperform	VERB
cet-3942	7	12	the	the	DET
cet-3942	7	13	existing	exist	VERB
cet-3942	7	14	algorithms	algorithm	NOUN
cet-3942	7	15	in	in	ADP
cet-3942	7	16	both	both	DET
cet-3942	7	17	recognition	recognition	NOUN
cet-3942	7	18	precision	precision	NOUN
cet-3942	7	19	rates	rate	NOUN
cet-3942	7	20	.	.	PUNCT
cet-3942	8	1	1	1	X
cet-3942	8	2	.	.	X
cet-3942	8	3	introduction	introduction	NOUN
cet-3942	8	4	blood	blood	NOUN
cet-3942	8	5	cell	cell	NOUN
cet-3942	8	6	testing	testing	NOUN
cet-3942	8	7	,	,	PUNCT
cet-3942	8	8	also	also	ADV
cet-3942	8	9	blood	blood	NOUN
cet-3942	8	10	routine	routine	ADJ
cet-3942	8	11	examination	examination	NOUN
cet-3942	8	12	,	,	PUNCT
cet-3942	8	13	refers	refer	VERB
cet-3942	8	14	to	to	PART
cet-3942	8	15	count	count	VERB
cet-3942	8	16	and	and	CCONJ
cet-3942	8	17	detect	detect	VERB
cet-3942	8	18	the	the	DET
cet-3942	8	19	blood	blood	NOUN
cet-3942	8	20	white	white	ADJ
cet-3942	8	21	cells	cell	NOUN
cet-3942	8	22	,	,	PUNCT
cet-3942	8	23	red	red	ADJ
cet-3942	8	24	cells	cell	NOUN
cet-3942	8	25	,	,	PUNCT
cet-3942	8	26	platelets	platelet	NOUN
cet-3942	8	27	,	,	PUNCT
cet-3942	8	28	haemoglobin	haemoglobin	NOUN
cet-3942	8	29	and	and	CCONJ
cet-3942	8	30	related	related	ADJ
cet-3942	8	31	data	datum	NOUN
cet-3942	8	32	in	in	ADP
cet-3942	8	33	the	the	DET
cet-3942	8	34	medical	medical	ADJ
cet-3942	8	35	image	image	NOUN
cet-3942	8	36	.	.	PUNCT
cet-3942	9	1	along	along	ADP
cet-3942	9	2	with	with	ADP
cet-3942	9	3	the	the	DET
cet-3942	9	4	development	development	NOUN
cet-3942	9	5	of	of	ADP
cet-3942	9	6	medical	medical	ADJ
cet-3942	9	7	microscopic	microscopic	ADJ
cet-3942	9	8	image	image	NOUN
cet-3942	9	9	technology	technology	NOUN
cet-3942	9	10	,	,	PUNCT
cet-3942	9	11	blood	blood	NOUN
cet-3942	9	12	cell	cell	NOUN
cet-3942	9	13	imaging	imaging	NOUN
cet-3942	9	14	technology	technology	NOUN
cet-3942	9	15	has	have	AUX
cet-3942	9	16	laid	lay	VERB
cet-3942	9	17	the	the	DET
cet-3942	9	18	foundation	foundation	NOUN
cet-3942	9	19	for	for	ADP
cet-3942	9	20	realizing	realize	VERB
cet-3942	9	21	the	the	DET
cet-3942	9	22	automation	automation	NOUN
cet-3942	9	23	of	of	ADP
cet-3942	9	24	blood	blood	NOUN
cet-3942	9	25	cell	cell	NOUN
cet-3942	9	26	testing	testing	NOUN
cet-3942	9	27	which	which	PRON
cet-3942	9	28	major	major	ADJ
cet-3942	9	29	work	work	NOUN
cet-3942	9	30	are	be	AUX
cet-3942	9	31	classified	classify	VERB
cet-3942	9	32	into	into	ADP
cet-3942	9	33	blood	blood	NOUN
cet-3942	9	34	cell	cell	NOUN
cet-3942	9	35	diagnosis	diagnosis	NOUN
cet-3942	9	36	and	and	CCONJ
cet-3942	9	37	blood	blood	NOUN
cet-3942	9	38	cell	cell	NOUN
cet-3942	9	39	automation	automation	NOUN
cet-3942	9	40	classification	classification	NOUN
cet-3942	9	41	.	.	PUNCT
cet-3942	10	1	blood	blood	NOUN
cet-3942	10	2	cell	cell	NOUN
cet-3942	10	3	diagnosis	diagnosis	NOUN
cet-3942	10	4	check	check	VERB
cet-3942	10	5	whether	whether	SCONJ
cet-3942	10	6	the	the	DET
cet-3942	10	7	existence	existence	NOUN
cet-3942	10	8	of	of	ADP
cet-3942	10	9	cancer	cancer	NOUN
cet-3942	10	10	cells	cell	NOUN
cet-3942	10	11	by	by	ADP
cet-3942	10	12	analyzing	analyze	VERB
cet-3942	10	13	the	the	DET
cet-3942	10	14	image	image	NOUN
cet-3942	10	15	of	of	ADP
cet-3942	10	16	the	the	DET
cet-3942	10	17	cell	cell	NOUN
cet-3942	10	18	while	while	SCONJ
cet-3942	10	19	blood	blood	NOUN
cet-3942	10	20	cell	cell	NOUN
cet-3942	10	21	automation	automation	NOUN
cet-3942	10	22	classification	classification	NOUN
cet-3942	10	23	are	be	AUX
cet-3942	10	24	automatically	automatically	ADV
cet-3942	10	25	count	count	VERB
cet-3942	10	26	and	and	CCONJ
cet-3942	10	27	classify	classify	VERB
cet-3942	10	28	the	the	DET
cet-3942	10	29	various	various	ADJ
cet-3942	10	30	types	type	NOUN
cet-3942	10	31	of	of	ADP
cet-3942	10	32	cell	cell	NOUN
cet-3942	10	33	according	accord	VERB
cet-3942	10	34	to	to	ADP
cet-3942	10	35	their	their	PRON
cet-3942	10	36	shape	shape	NOUN
cet-3942	10	37	,	,	PUNCT
cet-3942	10	38	colour	colour	ADJ
cet-3942	10	39	and	and	CCONJ
cet-3942	10	40	other	other	ADJ
cet-3942	10	41	characteristics	characteristic	NOUN
cet-3942	10	42	.	.	PUNCT
cet-3942	11	1	at	at	ADP
cet-3942	11	2	present	present	ADJ
cet-3942	11	3	,	,	PUNCT
cet-3942	11	4	with	with	ADP
cet-3942	11	5	the	the	DET
cet-3942	11	6	development	development	NOUN
cet-3942	11	7	of	of	ADP
cet-3942	11	8	computer	computer	NOUN
cet-3942	11	9	image	image	NOUN
cet-3942	11	10	processing	processing	NOUN
cet-3942	11	11	and	and	CCONJ
cet-3942	11	12	pattern	pattern	NOUN
cet-3942	11	13	recognition	recognition	NOUN
cet-3942	11	14	technology	technology	NOUN
cet-3942	11	15	,	,	PUNCT
cet-3942	11	16	automatic	automatic	ADJ
cet-3942	11	17	analysis	analysis	NOUN
cet-3942	11	18	and	and	CCONJ
cet-3942	11	19	classification	classification	NOUN
cet-3942	11	20	of	of	ADP
cet-3942	11	21	blood	blood	NOUN
cet-3942	11	22	cell	cell	NOUN
cet-3942	11	23	image	image	NOUN
cet-3942	11	24	has	have	AUX
cet-3942	11	25	become	become	VERB
cet-3942	11	26	the	the	DET
cet-3942	11	27	main	main	ADJ
cet-3942	11	28	stream	stream	NOUN
cet-3942	11	29	of	of	ADP
cet-3942	11	30	blood	blood	NOUN
cet-3942	11	31	cell	cell	NOUN
cet-3942	11	32	automatic	automatic	ADJ
cet-3942	11	33	detection	detection	NOUN
cet-3942	11	34	technology	technology	NOUN
cet-3942	11	35	.	.	PUNCT
cet-3942	12	1	the	the	DET
cet-3942	12	2	main	main	ADJ
cet-3942	12	3	advantage	advantage	NOUN
cet-3942	12	4	of	of	ADP
cet-3942	12	5	this	this	DET
cet-3942	12	6	technology	technology	NOUN
cet-3942	12	7	is	be	AUX
cet-3942	12	8	that	that	SCONJ
cet-3942	12	9	it	it	PRON
cet-3942	12	10	uses	use	VERB
cet-3942	12	11	image	image	NOUN
cet-3942	12	12	processing	processing	NOUN
cet-3942	12	13	and	and	CCONJ
cet-3942	12	14	analysis	analysis	NOUN
cet-3942	12	15	technology	technology	NOUN
cet-3942	12	16	to	to	ADP
cet-3942	12	17	classifying	classify	VERB
cet-3942	12	18	the	the	DET
cet-3942	12	19	blood	blood	NOUN
cet-3942	12	20	cell	cell	NOUN
cet-3942	12	21	using	use	VERB
cet-3942	12	22	pattern	pattern	NOUN
cet-3942	12	23	recognition	recognition	NOUN
cet-3942	12	24	by	by	ADP
cet-3942	12	25	extracting	extract	VERB
cet-3942	12	26	cell	cell	NOUN
cet-3942	12	27	shape	shape	NOUN
cet-3942	12	28	,	,	PUNCT
cet-3942	12	29	color	color	NOUN
cet-3942	12	30	,	,	PUNCT
cet-3942	12	31	texture	texture	NOUN
cet-3942	12	32	and	and	CCONJ
cet-3942	12	33	other	other	ADJ
cet-3942	12	34	characteristics	characteristic	NOUN
cet-3942	12	35	for	for	ADP
cet-3942	12	36	cell	cell	NOUN
cet-3942	12	37	classification	classification	NOUN
cet-3942	12	38	.	.	PUNCT
cet-3942	13	1	the	the	DET
cet-3942	13	2	automatic	automatic	ADJ
cet-3942	13	3	analysis	analysis	NOUN
cet-3942	13	4	system	system	NOUN
cet-3942	13	5	of	of	ADP
cet-3942	13	6	blood	blood	NOUN
cet-3942	13	7	cell	cell	NOUN
cet-3942	13	8	image	image	NOUN
cet-3942	13	9	has	have	AUX
cet-3942	13	10	been	be	AUX
cet-3942	13	11	a	a	DET
cet-3942	13	12	very	very	ADV
cet-3942	13	13	active	active	ADJ
cet-3942	13	14	field	field	NOUN
cet-3942	13	15	in	in	ADP
cet-3942	13	16	the	the	DET
cet-3942	13	17	field	field	NOUN
cet-3942	13	18	of	of	ADP
cet-3942	13	19	medical	medical	ADJ
cet-3942	13	20	information	information	NOUN
cet-3942	13	21	engineering	engineering	NOUN
cet-3942	13	22	.	.	PUNCT
cet-3942	14	1	however	however	ADV
cet-3942	14	2	,	,	PUNCT
cet-3942	14	3	because	because	SCONJ
cet-3942	14	4	of	of	ADP
cet-3942	14	5	the	the	DET
cet-3942	14	6	large	large	ADJ
cet-3942	14	7	change	change	NOUN
cet-3942	14	8	of	of	ADP
cet-3942	14	9	blood	blood	NOUN
cet-3942	14	10	cell	cell	NOUN
cet-3942	14	11	concentration	concentration	NOUN
cet-3942	14	12	,	,	PUNCT
cet-3942	14	13	the	the	DET
cet-3942	14	14	shape	shape	NOUN
cet-3942	14	15	and	and	CCONJ
cet-3942	14	16	complexity	complexity	NOUN
cet-3942	14	17	,	,	PUNCT
cet-3942	14	18	and	and	CCONJ
cet-3942	14	19	the	the	DET
cet-3942	14	20	variety	variety	NOUN
cet-3942	14	21	of	of	ADP
cet-3942	14	22	blood	blood	NOUN
cet-3942	14	23	cell	cell	NOUN
cet-3942	14	24	diseases	disease	NOUN
cet-3942	14	25	and	and	CCONJ
cet-3942	14	26	other	other	ADJ
cet-3942	14	27	reasons	reason	NOUN
cet-3942	14	28	,	,	PUNCT
cet-3942	14	29	the	the	DET
cet-3942	14	30	automatic	automatic	ADJ
cet-3942	14	31	classification	classification	NOUN
cet-3942	14	32	of	of	ADP
cet-3942	14	33	blood	blood	NOUN
cet-3942	14	34	cell	cell	NOUN
cet-3942	14	35	image	image	NOUN
cet-3942	14	36	is	be	AUX
cet-3942	14	37	not	not	PART
cet-3942	14	38	very	very	ADV
cet-3942	14	39	good	good	ADJ
cet-3942	14	40	,	,	PUNCT
cet-3942	14	41	so	so	ADV
cet-3942	14	42	the	the	DET
cet-3942	14	43	most	most	ADV
cet-3942	14	44	difficult	difficult	ADJ
cet-3942	14	45	problem	problem	NOUN
cet-3942	14	46	is	be	AUX
cet-3942	14	47	the	the	DET
cet-3942	14	48	recognition	recognition	NOUN
cet-3942	14	49	between	between	ADP
cet-3942	14	50	two	two	NUM
cet-3942	14	51	neighboring	neighboring	NOUN
cet-3942	14	52	cells	cell	NOUN
cet-3942	14	53	in	in	ADP
cet-3942	14	54	their	their	PRON
cet-3942	14	55	development	development	NOUN
cet-3942	14	56	line	line	NOUN
cet-3942	14	57	.	.	PUNCT
cet-3942	15	1	rezatofighi	rezatofighi	PROPN
cet-3942	15	2	,	,	PUNCT
cet-3942	15	3	et	et	PROPN
cet-3942	15	4	al	al	PROPN
cet-3942	15	5	.	.	PUNCT
cet-3942	15	6	(	(	PUNCT
cet-3942	15	7	2010	2010	NUM
cet-3942	15	8	)	)	PUNCT
cet-3942	15	9	have	have	AUX
cet-3942	15	10	presented	present	VERB
cet-3942	15	11	the	the	DET
cet-3942	15	12	solution	solution	NOUN
cet-3942	15	13	for	for	ADP
cet-3942	15	14	a	a	DET
cet-3942	15	15	system	system	NOUN
cet-3942	15	16	of	of	ADP
cet-3942	15	17	blood	blood	NOUN
cet-3942	15	18	cell	cell	NOUN
cet-3942	15	19	recognition	recognition	NOUN
cet-3942	15	20	applying	apply	VERB
cet-3942	15	21	multilayer	multilayer	ADJ
cet-3942	15	22	perceptron	perceptron	PROPN
cet-3942	15	23	(	(	PUNCT
cet-3942	15	24	mlp	mlp	PROPN
cet-3942	15	25	)	)	PUNCT
cet-3942	15	26	,	,	PUNCT
cet-3942	15	27	but	but	CCONJ
cet-3942	15	28	the	the	DET
cet-3942	15	29	accuracy	accuracy	NOUN
cet-3942	15	30	is	be	AUX
cet-3942	15	31	far	far	ADV
cet-3942	15	32	from	from	ADP
cet-3942	15	33	good	good	ADJ
cet-3942	15	34	(	(	PUNCT
cet-3942	15	35	39	39	NUM
cet-3942	15	36	%	%	NOUN
cet-3942	15	37	of	of	ADP
cet-3942	15	38	misclassifications	misclassification	NOUN
cet-3942	15	39	)	)	PUNCT
cet-3942	15	40	in	in	ADP
cet-3942	15	41	the	the	DET
cet-3942	15	42	recognition	recognition	NOUN
cet-3942	15	43	of	of	ADP
cet-3942	15	44	16	16	NUM
cet-3942	15	45	types	type	NOUN
cet-3942	15	46	of	of	ADP
cet-3942	15	47	cells	cell	NOUN
cet-3942	15	48	.	.	PUNCT
cet-3942	16	1	in	in	ADP
cet-3942	16	2	addition	addition	NOUN
cet-3942	16	3	,	,	PUNCT
cet-3942	16	4	umpon	umpon	PROPN
cet-3942	16	5	and	and	CCONJ
cet-3942	16	6	gader	gader	NOUN
cet-3942	16	7	(	(	PUNCT
cet-3942	16	8	2002	2002	NUM
cet-3942	16	9	)	)	PUNCT
cet-3942	16	10	have	have	AUX
cet-3942	16	11	reported	report	VERB
cet-3942	16	12	the	the	DET
cet-3942	16	13	recognition	recognition	NOUN
cet-3942	16	14	of	of	ADP
cet-3942	16	15	twelve	twelve	NUM
cet-3942	16	16	types	type	NOUN
cet-3942	16	17	of	of	ADP
cet-3942	16	18	cells	cell	NOUN
cet-3942	16	19	by	by	ADP
cet-3942	16	20	using	use	VERB
cet-3942	16	21	multilayer	multilayer	ADJ
cet-3942	16	22	perceptron	perceptron	NOUN
cet-3942	16	23	at	at	ADP
cet-3942	16	24	a	a	DET
cet-3942	16	25	misclassification	misclassification	NOUN
cet-3942	16	26	of	of	ADP
cet-3942	16	27	42	42	NUM
cet-3942	16	28	%	%	NOUN
cet-3942	16	29	.	.	PUNCT
cet-3942	17	1	long	long	ADV
cet-3942	17	2	,	,	PUNCT
cet-3942	17	3	etal	etal	NOUN
cet-3942	17	4	.	.	PUNCT
cet-3942	18	1	(	(	PUNCT
cet-3942	18	2	2005	2005	NUM
cet-3942	18	3	)	)	PUNCT
cet-3942	18	4	have	have	AUX
cet-3942	18	5	presented	present	VERB
cet-3942	18	6	the	the	DET
cet-3942	18	7	first	first	ADJ
cet-3942	18	8	results	result	NOUN
cet-3942	18	9	of	of	ADP
cet-3942	18	10	the	the	DET
cet-3942	18	11	recognition	recognition	NOUN
cet-3942	18	12	of	of	ADP
cet-3942	18	13	17	17	NUM
cet-3942	18	14	blood	blood	NOUN
cet-3942	18	15	cells	cell	NOUN
cet-3942	18	16	,	,	PUNCT
cet-3942	18	17	and	and	CCONJ
cet-3942	18	18	the	the	DET
cet-3942	18	19	averaged	average	VERB
cet-3942	18	20	recognition	recognition	NOUN
cet-3942	18	21	error	error	NOUN
cet-3942	18	22	compared	compare	VERB
cet-3942	18	23	with	with	ADP
cet-3942	18	24	that	that	PRON
cet-3942	18	25	of	of	ADP
cet-3942	18	26	a	a	DET
cet-3942	18	27	human	human	ADJ
cet-3942	18	28	expert	expert	NOUN
cet-3942	18	29	was	be	AUX
cet-3942	18	30	18.7	18.7	NUM
cet-3942	18	31	%	%	NOUN
cet-3942	18	32	.	.	PUNCT
cet-3942	19	1	the	the	DET
cet-3942	19	2	most	most	ADV
cet-3942	19	3	important	important	ADJ
cet-3942	19	4	task	task	NOUN
cet-3942	19	5	in	in	ADP
cet-3942	19	6	blood	blood	NOUN
cet-3942	19	7	cell	cell	NOUN
cet-3942	19	8	concentration	concentration	NOUN
cet-3942	19	9	is	be	AUX
cet-3942	19	10	selecting	select	VERB
cet-3942	19	11	the	the	DET
cet-3942	19	12	proper	proper	ADJ
cet-3942	19	13	diagnostic	diagnostic	ADJ
cet-3942	19	14	features	feature	NOUN
cet-3942	19	15	,	,	PUNCT
cet-3942	19	16	describing	describe	VERB
cet-3942	19	17	the	the	DET
cet-3942	19	18	image	image	NOUN
cet-3942	19	19	by	by	ADP
cet-3942	19	20	the	the	DET
cet-3942	19	21	numerical	numerical	ADJ
cet-3942	19	22	values	value	NOUN
cet-3942	19	23	,	,	PUNCT
cet-3942	19	24	and	and	CCONJ
cet-3942	19	25	enabling	enable	VERB
cet-3942	19	26	the	the	DET
cet-3942	19	27	automatic	automatic	ADJ
cet-3942	19	28	system	system	NOUN
cet-3942	19	29	to	to	PART
cet-3942	19	30	perform	perform	VERB
cet-3942	19	31	the	the	DET
cet-3942	19	32	recognition	recognition	NOUN
cet-3942	19	33	(	(	PUNCT
cet-3942	19	34	rezatofighi	rezatofighi	PROPN
cet-3942	19	35	,	,	PUNCT
cet-3942	19	36	2010	2010	NUM
cet-3942	19	37	;	;	PUNCT
cet-3942	19	38	umpon	umpon	PROPN
cet-3942	19	39	,	,	PUNCT
cet-3942	19	40	2002	2002	NUM
cet-3942	19	41	;	;	PUNCT
cet-3942	19	42	long	long	ADV
cet-3942	19	43	,	,	PUNCT
cet-3942	19	44	2005	2005	NUM
cet-3942	19	45	)	)	PUNCT
cet-3942	19	46	.	.	PUNCT
cet-3942	20	1	there	there	PRON
cet-3942	20	2	are	be	VERB
cet-3942	20	3	many	many	ADJ
cet-3942	20	4	ways	way	NOUN
cet-3942	20	5	on	on	ADP
cet-3942	20	6	how	how	SCONJ
cet-3942	20	7	the	the	DET
cet-3942	20	8	features	feature	NOUN
cet-3942	20	9	can	can	AUX
cet-3942	20	10	be	be	AUX
cet-3942	20	11	generated	generate	VERB
cet-3942	20	12	for	for	ADP
cet-3942	20	13	the	the	DET
cet-3942	20	14	image	image	NOUN
cet-3942	20	15	of	of	ADP
cet-3942	20	16	the	the	DET
cet-3942	20	17	cells	cell	NOUN
cet-3942	20	18	extracted	extract	VERB
cet-3942	20	19	from	from	ADP
cet-3942	20	20	the	the	DET
cet-3942	20	21	bone	bone	NOUN
cet-3942	20	22	marrow	marrow	NOUN
cet-3942	20	23	aspirate	aspirate	NOUN
cet-3942	20	24	.	.	PUNCT
cet-3942	21	1	usually	usually	ADV
cet-3942	21	2	,	,	PUNCT
cet-3942	21	3	we	we	PRON
cet-3942	21	4	can	can	AUX
cet-3942	21	5	generate	generate	VERB
cet-3942	21	6	many	many	ADJ
cet-3942	21	7	(	(	PUNCT
cet-3942	21	8	over	over	ADP
cet-3942	21	9	a	a	DET
cet-3942	21	10	hundred	hundred	NUM
cet-3942	21	11	)	)	PUNCT
cet-3942	21	12	of	of	ADP
cet-3942	21	13	the	the	DET
cet-3942	21	14	features	feature	NOUN
cet-3942	21	15	using	use	VERB
cet-3942	21	16	texture	texture	NOUN
cet-3942	21	17	,	,	PUNCT
cet-3942	21	18	geometrical	geometrical	ADJ
cet-3942	21	19	,	,	PUNCT
cet-3942	21	20	and	and	CCONJ
cet-3942	21	21	statistical	statistical	ADJ
cet-3942	21	22	analyses	analysis	NOUN
cet-3942	21	23	of	of	ADP
cet-3942	21	24	the	the	DET
cet-3942	21	25	cell	cell	NOUN
cet-3942	21	26	image	image	NOUN
cet-3942	21	27	.	.	PUNCT
cet-3942	22	1	not	not	PART
cet-3942	22	2	all	all	PRON
cet-3942	22	3	of	of	ADP
cet-3942	22	4	them	they	PRON
cet-3942	22	5	are	be	AUX
cet-3942	22	6	equally	equally	ADV
cet-3942	22	7	good	good	ADJ
cet-3942	22	8	and	and	CCONJ
cet-3942	22	9	applicable	applicable	ADJ
cet-3942	22	10	in	in	ADP
cet-3942	22	11	the	the	DET
cet-3942	22	12	recognition	recognition	NOUN
cet-3942	22	13	process	process	NOUN
cet-3942	22	14	.	.	PUNCT
cet-3942	23	1	thus	thus	ADV
cet-3942	23	2	,	,	PUNCT
cet-3942	23	3	the	the	DET
cet-3942	23	4	important	important	ADJ
cet-3942	23	5	problem	problem	NOUN
cet-3942	23	6	is	be	AUX
cet-3942	23	7	finding	find	VERB
cet-3942	23	8	out	out	ADP
cet-3942	23	9	the	the	DET
cet-3942	23	10	optimal	optimal	ADJ
cet-3942	23	11	set	set	NOUN
cet-3942	23	12	of	of	ADP
cet-3942	23	13	the	the	DET
cet-3942	23	14	most	most	ADV
cet-3942	23	15	important	important	ADJ
cet-3942	23	16	features	feature	NOUN
cet-3942	23	17	leading	lead	VERB
cet-3942	23	18	to	to	ADP
cet-3942	23	19	the	the	DET
cet-3942	23	20	highest	high	ADJ
cet-3942	23	21	efficiency	efficiency	NOUN
cet-3942	23	22	of	of	ADP
cet-3942	23	23	the	the	DET
cet-3942	23	24	recognition	recognition	NOUN
cet-3942	23	25	.	.	PUNCT
cet-3942	24	1	many	many	ADJ
cet-3942	24	2	different	different	ADJ
cet-3942	24	3	approaches	approach	NOUN
cet-3942	24	4	have	have	AUX
cet-3942	24	5	been	be	AUX
cet-3942	24	6	proposed	propose	VERB
cet-3942	24	7	for	for	ADP
cet-3942	24	8	the	the	DET
cet-3942	24	9	doi	doi	NOUN
cet-3942	24	10	:	:	PUNCT
cet-3942	24	11	10.3303	10.3303	NUM
cet-3942	24	12	/	/	SYM
cet-3942	24	13	cet1651078	cet1651078	NOUN
cet-3942	24	14	please	please	INTJ
cet-3942	24	15	cite	cite	VERB
cet-3942	24	16	this	this	DET
cet-3942	24	17	article	article	NOUN
cet-3942	24	18	as	as	ADP
cet-3942	24	19	:	:	PUNCT
cet-3942	24	20	zhao	zhao	PROPN
cet-3942	24	21	l.m	l.m	PROPN
cet-3942	24	22	.	.	PROPN
cet-3942	24	23	,	,	PUNCT
cet-3942	24	24	yue	yue	PROPN
cet-3942	24	25	p.	p.	PROPN
cet-3942	24	26	,	,	PUNCT
cet-3942	24	27	2016	2016	NUM
cet-3942	24	28	,	,	PUNCT
cet-3942	24	29	study	study	VERB
cet-3942	24	30	on	on	ADP
cet-3942	24	31	chaotic	chaotic	ADJ
cet-3942	24	32	neural	neural	ADJ
cet-3942	24	33	network	network	NOUN
cet-3942	24	34	and	and	CCONJ
cet-3942	24	35	its	its	PRON
cet-3942	24	36	application	application	NOUN
cet-3942	24	37	in	in	ADP
cet-3942	24	38	blood	blood	NOUN
cet-3942	24	39	cell	cell	NOUN
cet-3942	24	40	classification	classification	NOUN
cet-3942	24	41	of	of	ADP
cet-3942	24	42	medical	medical	ADJ
cet-3942	24	43	image	image	NOUN
cet-3942	24	44	,	,	PUNCT
cet-3942	24	45	chemical	chemical	NOUN
cet-3942	24	46	engineering	engineering	NOUN
cet-3942	24	47	transactions	transaction	NOUN
cet-3942	24	48	,	,	PUNCT
cet-3942	24	49	51	51	NUM
cet-3942	24	50	,	,	PUNCT
cet-3942	24	51	463	463	NUM
cet-3942	24	52	-	-	SYM
cet-3942	24	53	468	468	NUM
cet-3942	24	54	doi:10.3303	doi:10.3303	NOUN
cet-3942	24	55	/	/	SYM
cet-3942	24	56	cet1651078	cet1651078	VERB
cet-3942	24	57	463	463	NUM
cet-3942	24	58	selection	selection	NOUN
cet-3942	24	59	of	of	ADP
cet-3942	24	60	the	the	DET
cet-3942	24	61	most	most	ADV
cet-3942	24	62	important	important	ADJ
cet-3942	24	63	features	feature	NOUN
cet-3942	24	64	,	,	PUNCT
cet-3942	24	65	which	which	PRON
cet-3942	24	66	include	include	VERB
cet-3942	24	67	correlation	correlation	NOUN
cet-3942	24	68	analysis	analysis	NOUN
cet-3942	24	69	,	,	PUNCT
cet-3942	24	70	analysis	analysis	NOUN
cet-3942	24	71	of	of	ADP
cet-3942	24	72	the	the	DET
cet-3942	24	73	mean	mean	NOUN
cet-3942	24	74	and	and	CCONJ
cet-3942	24	75	variance	variance	NOUN
cet-3942	24	76	of	of	ADP
cet-3942	24	77	the	the	DET
cet-3942	24	78	data	datum	NOUN
cet-3942	24	79	belonging	belong	VERB
cet-3942	24	80	to	to	ADP
cet-3942	24	81	different	different	ADJ
cet-3942	24	82	classes	class	NOUN
cet-3942	24	83	,	,	PUNCT
cet-3942	24	84	principal	principal	ADJ
cet-3942	24	85	component	component	NOUN
cet-3942	24	86	analysis	analysis	NOUN
cet-3942	24	87	etc	etc	X
cet-3942	24	88	.	.	X
cet-3942	25	1	in	in	ADP
cet-3942	25	2	this	this	DET
cet-3942	25	3	paper	paper	NOUN
cet-3942	25	4	the	the	DET
cet-3942	25	5	selection	selection	NOUN
cet-3942	25	6	of	of	ADP
cet-3942	25	7	the	the	DET
cet-3942	25	8	best	good	ADJ
cet-3942	25	9	features	feature	NOUN
cet-3942	25	10	are	be	AUX
cet-3942	25	11	obtained	obtain	VERB
cet-3942	25	12	by	by	ADP
cet-3942	25	13	r	r	NOUN
cet-3942	25	14	package	package	NOUN
cet-3942	25	15	of	of	ADP
cet-3942	25	16	r	r	NOUN
cet-3942	25	17	functions	function	NOUN
cet-3942	25	18	for	for	ADP
cet-3942	25	19	generalized	generalized	ADJ
cet-3942	25	20	simulated	simulated	ADJ
cet-3942	25	21	annealing	annealing	NOUN
cet-3942	25	22	(	(	PUNCT
cet-3942	25	23	gensa	gensa	NOUN
cet-3942	25	24	)	)	PUNCT
cet-3942	25	25	.	.	PUNCT
cet-3942	26	1	after	after	ADP
cet-3942	26	2	obtaining	obtain	VERB
cet-3942	26	3	the	the	DET
cet-3942	26	4	features	feature	NOUN
cet-3942	26	5	of	of	ADP
cet-3942	26	6	blood	blood	NOUN
cet-3942	26	7	cell	cell	NOUN
cet-3942	26	8	image	image	NOUN
cet-3942	26	9	,	,	PUNCT
cet-3942	26	10	the	the	DET
cet-3942	26	11	chaotic	chaotic	ADJ
cet-3942	26	12	neural	neural	ADJ
cet-3942	26	13	network	network	NOUN
cet-3942	26	14	is	be	AUX
cet-3942	26	15	used	use	VERB
cet-3942	26	16	to	to	ADP
cet-3942	26	17	classifying	classify	VERB
cet-3942	26	18	the	the	DET
cet-3942	26	19	blood	blood	NOUN
cet-3942	26	20	cell	cell	NOUN
cet-3942	26	21	.	.	PUNCT
cet-3942	27	1	the	the	DET
cet-3942	27	2	chaotic	chaotic	ADJ
cet-3942	27	3	neural	neural	ADJ
cet-3942	27	4	network	network	NOUN
cet-3942	27	5	(	(	PUNCT
cet-3942	27	6	cnn	cnn	PROPN
cet-3942	27	7	)	)	PUNCT
cet-3942	27	8	is	be	AUX
cet-3942	27	9	a	a	DET
cet-3942	27	10	powerful	powerful	ADJ
cet-3942	27	11	solution	solution	NOUN
cet-3942	27	12	to	to	ADP
cet-3942	27	13	the	the	DET
cet-3942	27	14	classification	classification	NOUN
cet-3942	27	15	problems	problem	NOUN
cet-3942	27	16	.	.	PUNCT
cet-3942	28	1	in	in	ADP
cet-3942	28	2	this	this	DET
cet-3942	28	3	paper	paper	NOUN
cet-3942	28	4	,	,	PUNCT
cet-3942	28	5	it	it	PRON
cet-3942	28	6	has	have	AUX
cet-3942	28	7	been	be	AUX
cet-3942	28	8	used	use	VERB
cet-3942	28	9	for	for	ADP
cet-3942	28	10	the	the	DET
cet-3942	28	11	recognition	recognition	NOUN
cet-3942	28	12	and	and	CCONJ
cet-3942	28	13	classification	classification	NOUN
cet-3942	28	14	of	of	ADP
cet-3942	28	15	cells	cell	NOUN
cet-3942	28	16	,	,	PUNCT
cet-3942	28	17	but	but	CCONJ
cet-3942	28	18	it	it	PRON
cet-3942	28	19	can	can	AUX
cet-3942	28	20	also	also	ADV
cet-3942	28	21	be	be	AUX
cet-3942	28	22	applied	apply	VERB
cet-3942	28	23	to	to	ADP
cet-3942	28	24	feature	feature	NOUN
cet-3942	28	25	selection	selection	NOUN
cet-3942	28	26	(	(	PUNCT
cet-3942	28	27	wang	wang	PROPN
cet-3942	28	28	,	,	PUNCT
cet-3942	28	29	2004a	2004a	NUM
cet-3942	28	30	)	)	PUNCT
cet-3942	28	31	.	.	PUNCT
cet-3942	29	1	the	the	DET
cet-3942	29	2	main	main	ADJ
cet-3942	29	3	advantage	advantage	NOUN
cet-3942	29	4	of	of	ADP
cet-3942	29	5	the	the	DET
cet-3942	29	6	cnn	cnn	PROPN
cet-3942	29	7	used	use	VERB
cet-3942	29	8	as	as	ADP
cet-3942	29	9	a	a	DET
cet-3942	29	10	classifier	classifier	NOUN
cet-3942	29	11	is	be	AUX
cet-3942	29	12	its	its	PRON
cet-3942	29	13	very	very	ADV
cet-3942	29	14	good	good	ADJ
cet-3942	29	15	generalization	generalization	NOUN
cet-3942	29	16	ability	ability	NOUN
cet-3942	29	17	,	,	PUNCT
cet-3942	29	18	extremely	extremely	ADV
cet-3942	29	19	powerful	powerful	ADJ
cet-3942	29	20	searching	searching	NOUN
cet-3942	29	21	procedure	procedure	NOUN
cet-3942	29	22	,	,	PUNCT
cet-3942	29	23	and	and	CCONJ
cet-3942	29	24	very	very	ADV
cet-3942	29	25	leading	lead	VERB
cet-3942	29	26	to	to	ADP
cet-3942	29	27	the	the	DET
cet-3942	29	28	global	global	ADJ
cet-3942	29	29	optimal	optimal	ADJ
cet-3942	29	30	solution	solution	NOUN
cet-3942	29	31	(	(	PUNCT
cet-3942	29	32	wang	wang	PROPN
cet-3942	29	33	,	,	PUNCT
cet-3942	29	34	2004b	2004b	NUM
cet-3942	29	35	)	)	PUNCT
cet-3942	29	36	the	the	DET
cet-3942	29	37	main	main	ADJ
cet-3942	29	38	task	task	NOUN
cet-3942	29	39	of	of	ADP
cet-3942	29	40	this	this	DET
cet-3942	29	41	work	work	NOUN
cet-3942	29	42	is	be	AUX
cet-3942	29	43	the	the	DET
cet-3942	29	44	development	development	NOUN
cet-3942	29	45	of	of	ADP
cet-3942	29	46	an	an	DET
cet-3942	29	47	algorithm	algorithm	NOUN
cet-3942	29	48	with	with	ADP
cet-3942	29	49	the	the	DET
cet-3942	29	50	highest	high	ADJ
cet-3942	29	51	possible	possible	ADJ
cet-3942	29	52	recognition	recognition	NOUN
cet-3942	29	53	rate	rate	NOUN
cet-3942	29	54	of	of	ADP
cet-3942	29	55	the	the	DET
cet-3942	29	56	blood	blood	NOUN
cet-3942	29	57	cells	cell	NOUN
cet-3942	29	58	based	base	VERB
cet-3942	29	59	on	on	ADP
cet-3942	29	60	the	the	DET
cet-3942	29	61	image	image	NOUN
cet-3942	29	62	.	.	PUNCT
cet-3942	30	1	the	the	DET
cet-3942	30	2	first	first	ADJ
cet-3942	30	3	step	step	NOUN
cet-3942	30	4	in	in	ADP
cet-3942	30	5	the	the	DET
cet-3942	30	6	whole	whole	ADJ
cet-3942	30	7	procedure	procedure	NOUN
cet-3942	30	8	is	be	AUX
cet-3942	30	9	the	the	DET
cet-3942	30	10	extraction	extraction	NOUN
cet-3942	30	11	of	of	ADP
cet-3942	30	12	the	the	DET
cet-3942	30	13	individual	individual	ADJ
cet-3942	30	14	cells	cell	NOUN
cet-3942	30	15	from	from	ADP
cet-3942	30	16	the	the	DET
cet-3942	30	17	image	image	NOUN
cet-3942	30	18	of	of	ADP
cet-3942	30	19	the	the	DET
cet-3942	30	20	smear	smear	NOUN
cet-3942	30	21	image	image	NOUN
cet-3942	30	22	.	.	PUNCT
cet-3942	31	1	we	we	PRON
cet-3942	31	2	have	have	AUX
cet-3942	31	3	developed	develop	VERB
cet-3942	31	4	the	the	DET
cet-3942	31	5	automatic	automatic	ADJ
cet-3942	31	6	system	system	NOUN
cet-3942	31	7	of	of	ADP
cet-3942	31	8	the	the	DET
cet-3942	31	9	cell	cell	NOUN
cet-3942	31	10	extraction	extraction	NOUN
cet-3942	31	11	which	which	PRON
cet-3942	31	12	has	have	AUX
cet-3942	31	13	been	be	AUX
cet-3942	31	14	implemented	implement	VERB
cet-3942	31	15	in	in	ADP
cet-3942	31	16	r.	r.	PROPN
cet-3942	31	17	the	the	DET
cet-3942	31	18	image	image	NOUN
cet-3942	31	19	processing	processing	NOUN
cet-3942	31	20	system	system	NOUN
cet-3942	31	21	analyses	analyse	VERB
cet-3942	31	22	the	the	DET
cet-3942	31	23	blood	blood	NOUN
cet-3942	31	24	cell	cell	NOUN
cet-3942	31	25	image	image	NOUN
cet-3942	31	26	and	and	CCONJ
cet-3942	31	27	performs	perform	VERB
cet-3942	31	28	all	all	DET
cet-3942	31	29	morphological	morphological	ADJ
cet-3942	31	30	operations	operation	NOUN
cet-3942	31	31	and	and	CCONJ
cet-3942	31	32	,	,	PUNCT
cet-3942	31	33	as	as	ADP
cet-3942	31	34	a	a	DET
cet-3942	31	35	result	result	NOUN
cet-3942	31	36	,	,	PUNCT
cet-3942	31	37	produces	produce	VERB
cet-3942	31	38	the	the	DET
cet-3942	31	39	separated	separate	VERB
cet-3942	31	40	cell	cell	NOUN
cet-3942	31	41	images	image	NOUN
cet-3942	31	42	.	.	PUNCT
cet-3942	32	1	secondly	secondly	ADV
cet-3942	32	2	,	,	PUNCT
cet-3942	32	3	the	the	DET
cet-3942	32	4	choice	choice	NOUN
cet-3942	32	5	of	of	ADP
cet-3942	32	6	the	the	DET
cet-3942	32	7	numerical	numerical	PROPN
cet-3942	32	8	features	feature	NOUN
cet-3942	32	9	describing	describe	VERB
cet-3942	32	10	the	the	DET
cet-3942	32	11	image	image	NOUN
cet-3942	32	12	is	be	AUX
cet-3942	32	13	obtained	obtain	VERB
cet-3942	32	14	using	use	VERB
cet-3942	32	15	gensa	gensa	NOUN
cet-3942	32	16	.	.	PUNCT
cet-3942	33	1	the	the	DET
cet-3942	33	2	features	feature	NOUN
cet-3942	33	3	are	be	AUX
cet-3942	33	4	the	the	DET
cet-3942	33	5	numerical	numerical	ADJ
cet-3942	33	6	values	value	NOUN
cet-3942	33	7	that	that	PRON
cet-3942	33	8	should	should	AUX
cet-3942	33	9	be	be	AUX
cet-3942	33	10	stable	stable	ADJ
cet-3942	33	11	for	for	ADP
cet-3942	33	12	all	all	DET
cet-3942	33	13	representatives	representative	NOUN
cet-3942	33	14	of	of	ADP
cet-3942	33	15	the	the	DET
cet-3942	33	16	same	same	ADJ
cet-3942	33	17	class	class	NOUN
cet-3942	33	18	but	but	CCONJ
cet-3942	33	19	substantially	substantially	ADV
cet-3942	33	20	differ	differ	VERB
cet-3942	33	21	for	for	ADP
cet-3942	33	22	cells	cell	NOUN
cet-3942	33	23	belonging	belong	VERB
cet-3942	33	24	to	to	ADP
cet-3942	33	25	different	different	ADJ
cet-3942	33	26	classes	class	NOUN
cet-3942	33	27	and	and	CCONJ
cet-3942	33	28	we	we	PRON
cet-3942	33	29	have	have	AUX
cet-3942	33	30	chosen	choose	VERB
cet-3942	33	31	the	the	DET
cet-3942	33	32	size	size	NOUN
cet-3942	33	33	of	of	ADP
cet-3942	33	34	the	the	DET
cet-3942	33	35	cells	cell	NOUN
cet-3942	33	36	,	,	PUNCT
cet-3942	33	37	shape	shape	NOUN
cet-3942	33	38	,	,	PUNCT
cet-3942	33	39	granulation	granulation	NOUN
cet-3942	33	40	,	,	PUNCT
cet-3942	33	41	distribution	distribution	NOUN
cet-3942	33	42	,	,	PUNCT
cet-3942	33	43	and	and	CCONJ
cet-3942	33	44	intensity	intensity	NOUN
cet-3942	33	45	of	of	ADP
cet-3942	33	46	colours	colour	NOUN
cet-3942	33	47	.	.	PUNCT
cet-3942	34	1	thirdly	thirdly	ADV
cet-3942	34	2	,	,	PUNCT
cet-3942	34	3	the	the	DET
cet-3942	34	4	chaotic	chaotic	ADJ
cet-3942	34	5	neural	neural	ADJ
cet-3942	34	6	network	network	NOUN
cet-3942	34	7	is	be	AUX
cet-3942	34	8	used	use	VERB
cet-3942	34	9	to	to	ADP
cet-3942	34	10	classifying	classify	VERB
cet-3942	34	11	and	and	CCONJ
cet-3942	34	12	counting	count	VERB
cet-3942	34	13	the	the	DET
cet-3942	34	14	various	various	ADJ
cet-3942	34	15	types	type	NOUN
cet-3942	34	16	of	of	ADP
cet-3942	34	17	blood	blood	NOUN
cet-3942	34	18	cells	cell	NOUN
cet-3942	34	19	.	.	PUNCT
cet-3942	35	1	finally	finally	ADV
cet-3942	35	2	,	,	PUNCT
cet-3942	35	3	experiment	experiment	NOUN
cet-3942	35	4	result	result	NOUN
cet-3942	35	5	shows	show	VERB
cet-3942	35	6	that	that	SCONJ
cet-3942	35	7	the	the	DET
cet-3942	35	8	procedure	procedure	NOUN
cet-3942	35	9	proposed	propose	VERB
cet-3942	35	10	in	in	ADP
cet-3942	35	11	this	this	DET
cet-3942	35	12	paper	paper	NOUN
cet-3942	35	13	outperforms	outperform	VERB
cet-3942	35	14	the	the	DET
cet-3942	35	15	existing	exist	VERB
cet-3942	35	16	algorithms	algorithm	NOUN
cet-3942	35	17	in	in	ADP
cet-3942	35	18	both	both	DET
cet-3942	35	19	recognition	recognition	NOUN
cet-3942	35	20	precision	precision	NOUN
cet-3942	35	21	rates	rate	NOUN
cet-3942	35	22	.	.	PUNCT
cet-3942	36	1	2	2	X
cet-3942	36	2	.	.	X
cet-3942	36	3	chaotic	chaotic	ADJ
cet-3942	36	4	neural	neural	ADJ
cet-3942	36	5	network	network	NOUN
cet-3942	36	6	there	there	ADV
cet-3942	36	7	have	have	AUX
cet-3942	36	8	been	be	AUX
cet-3942	36	9	extensive	extensive	ADJ
cet-3942	36	10	research	research	NOUN
cet-3942	36	11	interests	interest	NOUN
cet-3942	36	12	in	in	ADP
cet-3942	36	13	theory	theory	NOUN
cet-3942	36	14	and	and	CCONJ
cet-3942	36	15	applications	application	NOUN
cet-3942	36	16	of	of	ADP
cet-3942	36	17	hopfield	hopfield	NOUN
cet-3942	36	18	-	-	PUNCT
cet-3942	36	19	based	base	VERB
cet-3942	36	20	type	type	NOUN
cet-3942	36	21	neural	neural	ADJ
cet-3942	36	22	networks	network	NOUN
cet-3942	36	23	.	.	PUNCT
cet-3942	37	1	since	since	SCONJ
cet-3942	37	2	the	the	DET
cet-3942	37	3	original	original	ADJ
cet-3942	37	4	hopfield	hopfield	ADJ
cet-3942	37	5	neural	neural	ADJ
cet-3942	37	6	network	network	NOUN
cet-3942	37	7	(	(	PUNCT
cet-3942	37	8	hnn	hnn	PROPN
cet-3942	37	9	)	)	PUNCT
cet-3942	37	10	(	(	PUNCT
cet-3942	37	11	wang	wang	PROPN
cet-3942	37	12	,	,	PUNCT
cet-3942	37	13	2004b	2004b	NUM
cet-3942	37	14	)	)	PUNCT
cet-3942	37	15	can	can	AUX
cet-3942	37	16	be	be	AUX
cet-3942	37	17	easily	easily	ADV
cet-3942	37	18	trapped	trap	VERB
cet-3942	37	19	in	in	ADP
cet-3942	37	20	local	local	ADJ
cet-3942	37	21	minima	minima	NOUN
cet-3942	37	22	,	,	PUNCT
cet-3942	37	23	stochastic	stochastic	ADJ
cet-3942	37	24	simulated	simulated	ADJ
cet-3942	37	25	annealing	annealing	NOUN
cet-3942	37	26	(	(	PUNCT
cet-3942	37	27	ssa	ssa	NOUN
cet-3942	37	28	)	)	PUNCT
cet-3942	37	29	has	have	AUX
cet-3942	37	30	been	be	AUX
cet-3942	37	31	combined	combine	VERB
cet-3942	37	32	with	with	ADP
cet-3942	37	33	the	the	DET
cet-3942	37	34	hnn	hnn	PROPN
cet-3942	37	35	.	.	PROPN
cet-3942	38	1	besides	besides	PROPN
cet-3942	38	2	,	,	PUNCT
cet-3942	38	3	chaotic	chaotic	ADJ
cet-3942	38	4	neural	neural	ADJ
cet-3942	38	5	networks	network	NOUN
cet-3942	38	6	(	(	PUNCT
cet-3942	38	7	lee	lee	PROPN
cet-3942	38	8	,	,	PUNCT
cet-3942	38	9	2004	2004	NUM
cet-3942	38	10	)	)	PUNCT
cet-3942	38	11	have	have	AUX
cet-3942	38	12	also	also	ADV
cet-3942	38	13	attracted	attract	VERB
cet-3942	38	14	much	much	ADJ
cet-3942	38	15	attention	attention	NOUN
cet-3942	38	16	because	because	SCONJ
cet-3942	38	17	chaotic	chaotic	ADJ
cet-3942	38	18	neural	neural	ADJ
cet-3942	38	19	networks	network	NOUN
cet-3942	38	20	have	have	VERB
cet-3942	38	21	a	a	DET
cet-3942	38	22	richer	rich	ADJ
cet-3942	38	23	spectrum	spectrum	NOUN
cet-3942	38	24	of	of	ADP
cet-3942	38	25	dynamic	dynamic	ADJ
cet-3942	38	26	behaviors	behavior	NOUN
cet-3942	38	27	,	,	PUNCT
cet-3942	38	28	such	such	ADJ
cet-3942	38	29	as	as	ADP
cet-3942	38	30	stable	stable	ADJ
cet-3942	38	31	fixed	fix	VERB
cet-3942	38	32	points	point	NOUN
cet-3942	38	33	,	,	PUNCT
cet-3942	38	34	periodic	periodic	ADJ
cet-3942	38	35	oscillations	oscillation	NOUN
cet-3942	38	36	,	,	PUNCT
cet-3942	38	37	and	and	CCONJ
cet-3942	38	38	chaos	chaos	NOUN
cet-3942	38	39	,	,	PUNCT
cet-3942	38	40	in	in	ADP
cet-3942	38	41	comparison	comparison	NOUN
cet-3942	38	42	with	with	ADP
cet-3942	38	43	static	static	ADJ
cet-3942	38	44	neural	neural	ADJ
cet-3942	38	45	network	network	NOUN
cet-3942	38	46	models	model	NOUN
cet-3942	38	47	.	.	PUNCT
cet-3942	39	1	beksac	beksac	NOUN
cet-3942	39	2	etal	etal	NOUN
cet-3942	39	3	.	.	PUNCT
cet-3942	40	1	(	(	PUNCT
cet-3942	40	2	2007	2007	NUM
cet-3942	40	3	)	)	PUNCT
cet-3942	40	4	demonstrated	demonstrate	VERB
cet-3942	40	5	the	the	DET
cet-3942	40	6	search	search	NOUN
cet-3942	40	7	ability	ability	NOUN
cet-3942	40	8	of	of	ADP
cet-3942	40	9	chaotic	chaotic	ADJ
cet-3942	40	10	neural	neural	ADJ
cet-3942	40	11	networks	network	NOUN
cet-3942	40	12	.	.	PUNCT
cet-3942	41	1	theera	theera	NOUN
cet-3942	41	2	-	-	PUNCT
cet-3942	41	3	umpon	umpon	PROPN
cet-3942	41	4	and	and	CCONJ
cet-3942	41	5	gader	gader	NOUN
cet-3942	41	6	(	(	PUNCT
cet-3942	41	7	2002	2002	NUM
cet-3942	41	8	)	)	PUNCT
cet-3942	41	9	proposed	propose	VERB
cet-3942	41	10	chaotic	chaotic	ADJ
cet-3942	41	11	simulated	simulated	ADJ
cet-3942	41	12	annealing	anneal	VERB
cet-3942	41	13	(	(	PUNCT
cet-3942	41	14	csa	csa	PROPN
cet-3942	41	15	)	)	PUNCT
cet-3942	41	16	by	by	ADP
cet-3942	41	17	starting	start	VERB
cet-3942	41	18	with	with	ADP
cet-3942	41	19	a	a	DET
cet-3942	41	20	sufficiently	sufficiently	ADV
cet-3942	41	21	large	large	ADJ
cet-3942	41	22	negative	negative	ADJ
cet-3942	41	23	self	self	NOUN
cet-3942	41	24	-	-	PUNCT
cet-3942	41	25	coupling	coupling	NOUN
cet-3942	41	26	in	in	ADP
cet-3942	41	27	the	the	DET
cet-3942	41	28	neurons	neuron	NOUN
cet-3942	41	29	and	and	CCONJ
cet-3942	41	30	then	then	ADV
cet-3942	41	31	gradually	gradually	ADV
cet-3942	41	32	decreasing	decrease	VERB
cet-3942	41	33	the	the	DET
cet-3942	41	34	self	self	NOUN
cet-3942	41	35	-	-	PUNCT
cet-3942	41	36	coupling	coupling	NOUN
cet-3942	41	37	to	to	PART
cet-3942	41	38	stabilize	stabilize	VERB
cet-3942	41	39	the	the	DET
cet-3942	41	40	network	network	NOUN
cet-3942	41	41	.	.	PUNCT
cet-3942	42	1	they	they	PRON
cet-3942	42	2	called	call	VERB
cet-3942	42	3	this	this	DET
cet-3942	42	4	model	model	NOUN
cet-3942	42	5	the	the	DET
cet-3942	42	6	transiently	transiently	ADV
cet-3942	42	7	chaotic	chaotic	ADJ
cet-3942	42	8	neural	neural	ADJ
cet-3942	42	9	network	network	NOUN
cet-3942	42	10	(	(	PUNCT
cet-3942	42	11	tcnn	tcnn	PROPN
cet-3942	42	12	)	)	PUNCT
cet-3942	42	13	.	.	PUNCT
cet-3942	43	1	because	because	SCONJ
cet-3942	43	2	the	the	DET
cet-3942	43	3	tcnn	tcnn	NOUN
cet-3942	43	4	restricts	restrict	VERB
cet-3942	43	5	the	the	DET
cet-3942	43	6	random	random	ADJ
cet-3942	43	7	search	search	NOUN
cet-3942	43	8	to	to	ADP
cet-3942	43	9	a	a	DET
cet-3942	43	10	subspace	subspace	NOUN
cet-3942	43	11	of	of	ADP
cet-3942	43	12	the	the	DET
cet-3942	43	13	chaotic	chaotic	ADJ
cet-3942	43	14	attracting	attract	VERB
cet-3942	43	15	set	set	NOUN
cet-3942	43	16	,	,	PUNCT
cet-3942	43	17	which	which	PRON
cet-3942	43	18	is	be	AUX
cet-3942	43	19	much	much	ADV
cet-3942	43	20	smaller	small	ADJ
cet-3942	43	21	than	than	ADP
cet-3942	43	22	the	the	DET
cet-3942	43	23	entire	entire	ADJ
cet-3942	43	24	state	state	NOUN
cet-3942	43	25	space	space	NOUN
cet-3942	43	26	,	,	PUNCT
cet-3942	43	27	it	it	PRON
cet-3942	43	28	can	can	AUX
cet-3942	43	29	search	search	VERB
cet-3942	43	30	more	more	ADV
cet-3942	43	31	efficiently	efficiently	ADV
cet-3942	43	32	.	.	PUNCT
cet-3942	44	1	by	by	ADP
cet-3942	44	2	adding	add	VERB
cet-3942	44	3	decaying	decay	VERB
cet-3942	44	4	stochastic	stochastic	ADJ
cet-3942	44	5	noise	noise	NOUN
cet-3942	44	6	into	into	ADP
cet-3942	44	7	the	the	DET
cet-3942	44	8	tcnn	tcnn	NOUN
cet-3942	44	9	,	,	PUNCT
cet-3942	44	10	wang	wang	PROPN
cet-3942	44	11	et	et	PROPN
cet-3942	44	12	al.(2004a	al.(2004a	PROPN
cet-3942	44	13	)	)	PUNCT
cet-3942	44	14	proposed	propose	VERB
cet-3942	44	15	a	a	DET
cet-3942	44	16	new	new	ADJ
cet-3942	44	17	approach	approach	NOUN
cet-3942	44	18	to	to	ADP
cet-3942	44	19	simulated	simulated	ADJ
cet-3942	44	20	annealing	annealing	NOUN
cet-3942	44	21	,	,	PUNCT
cet-3942	44	22	i.e.	i.e.	X
cet-3942	44	23	,	,	PUNCT
cet-3942	44	24	stochastic	stochastic	ADJ
cet-3942	44	25	chaotic	chaotic	ADJ
cet-3942	44	26	simulated	simulated	ADJ
cet-3942	44	27	annealing	annealing	NOUN
cet-3942	44	28	(	(	PUNCT
cet-3942	44	29	scsa	scsa	PROPN
cet-3942	44	30	)	)	PUNCT
cet-3942	44	31	,	,	PUNCT
cet-3942	44	32	using	use	VERB
cet-3942	44	33	a	a	DET
cet-3942	44	34	noisy	noisy	ADJ
cet-3942	44	35	chaotic	chaotic	ADJ
cet-3942	44	36	neural	neural	ADJ
cet-3942	44	37	network	network	NOUN
cet-3942	44	38	(	(	PUNCT
cet-3942	44	39	ncnn	ncnn	PROPN
cet-3942	44	40	)	)	PUNCT
cet-3942	44	41	.	.	PUNCT
cet-3942	45	1	compared	compare	VERB
cet-3942	45	2	with	with	ADP
cet-3942	45	3	csa	csa	PROPN
cet-3942	45	4	,	,	PUNCT
cet-3942	45	5	scsa	scsa	VERB
cet-3942	45	6	performs	perform	VERB
cet-3942	45	7	stochastic	stochastic	ADJ
cet-3942	45	8	searching	search	VERB
cet-3942	45	9	both	both	CCONJ
cet-3942	45	10	before	before	ADP
cet-3942	45	11	and	and	CCONJ
cet-3942	45	12	after	after	SCONJ
cet-3942	45	13	chaos	chaos	NOUN
cet-3942	45	14	disappears	disappear	VERB
cet-3942	45	15	and	and	CCONJ
cet-3942	45	16	is	be	AUX
cet-3942	45	17	more	more	ADV
cet-3942	45	18	likely	likely	ADJ
cet-3942	45	19	to	to	PART
cet-3942	45	20	find	find	VERB
cet-3942	45	21	optimal	optimal	ADJ
cet-3942	45	22	or	or	CCONJ
cet-3942	45	23	suboptimal	suboptimal	ADJ
cet-3942	45	24	solutions	solution	NOUN
cet-3942	45	25	.	.	PUNCT
cet-3942	46	1	this	this	DET
cet-3942	46	2	novel	novel	ADJ
cet-3942	46	3	method	method	NOUN
cet-3942	46	4	has	have	AUX
cet-3942	46	5	been	be	AUX
cet-3942	46	6	applied	apply	VERB
cet-3942	46	7	successfully	successfully	ADV
cet-3942	46	8	to	to	ADP
cet-3942	46	9	solving	solve	VERB
cet-3942	46	10	several	several	ADJ
cet-3942	46	11	challenging	challenging	ADJ
cet-3942	46	12	optimization	optimization	NOUN
cet-3942	46	13	problems	problem	NOUN
cet-3942	46	14	,	,	PUNCT
cet-3942	46	15	including	include	VERB
cet-3942	46	16	the	the	DET
cet-3942	46	17	traveling	travel	VERB
cet-3942	46	18	salesman	salesman	NOUN
cet-3942	46	19	problem	problem	NOUN
cet-3942	46	20	(	(	PUNCT
cet-3942	46	21	tsp	tsp	NOUN
cet-3942	46	22	)	)	PUNCT
cet-3942	46	23	and	and	CCONJ
cet-3942	46	24	the	the	DET
cet-3942	46	25	channel	channel	NOUN
cet-3942	46	26	assignment	assignment	NOUN
cet-3942	46	27	problem	problem	NOUN
cet-3942	46	28	(	(	PUNCT
cet-3942	46	29	cap	cap	NOUN
cet-3942	46	30	)	)	PUNCT
cet-3942	46	31	.	.	PUNCT
cet-3942	47	1	the	the	DET
cet-3942	47	2	tcnn	tcnn	PROPN
cet-3942	47	3	model	model	NOUN
cet-3942	47	4	is	be	AUX
cet-3942	47	5	described	describe	VERB
cet-3942	47	6	as	as	SCONJ
cet-3942	47	7	follows	follow	VERB
cet-3942	47	8	in	in	ADP
cet-3942	47	9	：	：	PUNCT
cet-3942	47	10	𝑥𝑗𝑘	𝑥𝑗𝑘	PROPN
cet-3942	47	11	=	=	SYM
cet-3942	47	12	1	1	NUM
cet-3942	47	13	1+𝑒	1+𝑒	NUM
cet-3942	47	14	−𝑦𝑗𝑘(𝑡)/𝜀	−𝑦𝑗𝑘(𝑡)/𝜀	X
cet-3942	47	15	(	(	PUNCT
cet-3942	47	16	1	1	NUM
cet-3942	47	17	)	)	PUNCT
cet-3942	47	18	𝑦𝑗𝑘(𝑡	𝑦𝑗𝑘(𝑡	NOUN
cet-3942	48	1	+	+	CCONJ
cet-3942	48	2	1	1	X
cet-3942	48	3	)	)	PUNCT
cet-3942	48	4	=	=	SYM
cet-3942	48	5	𝑘𝑦𝑗𝑘(𝑡	𝑘𝑦𝑗𝑘(𝑡	PROPN
cet-3942	48	6	)	)	PUNCT
cet-3942	48	7	−	−	PROPN
cet-3942	48	8	𝑧(𝑡)(𝑥𝑗𝑘(𝑡	𝑧(𝑡)(𝑥𝑗𝑘(𝑡	NOUN
cet-3942	48	9	)	)	PUNCT
cet-3942	48	10	−	−	PROPN
cet-3942	48	11	𝐼0	𝐼0	PROPN
cet-3942	48	12	)	)	PUNCT
cet-3942	48	13	+	+	CCONJ
cet-3942	48	14	𝑛(𝑡	𝑛(𝑡	PROPN
cet-3942	48	15	)	)	PUNCT
cet-3942	49	1	+	+	CCONJ
cet-3942	49	2	𝛼(∑	𝛼(∑	ADP
cet-3942	49	3	∑	∑	PUNCT
cet-3942	49	4	𝜔𝑗𝑘𝑖𝑙𝑥𝑗𝑘(𝑡	𝜔𝑗𝑘𝑖𝑙𝑥𝑗𝑘(𝑡	PROPN
cet-3942	49	5	)	)	PUNCT
cet-3942	49	6	𝑀	𝑀	PROPN
cet-3942	49	7	𝑙=1,𝑙≠𝑘	𝑙=1,𝑙≠𝑘	PROPN
cet-3942	50	1	𝑁	𝑁	PROPN
cet-3942	50	2	𝑖=1,𝑖≠𝑗	𝑖=1,𝑖≠𝑗	PROPN
cet-3942	50	3	+	+	CCONJ
cet-3942	50	4	𝐼𝑗𝑘	𝐼𝑗𝑘	PROPN
cet-3942	50	5	)	)	PUNCT
cet-3942	50	6	(	(	PUNCT
cet-3942	50	7	2	2	X
cet-3942	50	8	)	)	PUNCT
cet-3942	50	9	𝑧(𝑡	𝑧(𝑡	NOUN
cet-3942	50	10	+	+	NOUN
cet-3942	50	11	1	1	NUM
cet-3942	50	12	)	)	PUNCT
cet-3942	50	13	=	=	NOUN
cet-3942	50	14	(	(	PUNCT
cet-3942	50	15	1	1	NUM
cet-3942	50	16	−	−	PRON
cet-3942	50	17	𝛽1)𝑧(𝑡	𝛽1)𝑧(𝑡	NOUN
cet-3942	50	18	)	)	PUNCT
cet-3942	50	19	(	(	PUNCT
cet-3942	50	20	3	3	X
cet-3942	50	21	)	)	PUNCT
cet-3942	50	22	𝑛(𝑡	𝑛(𝑡	PROPN
cet-3942	50	23	+	+	NOUN
cet-3942	50	24	1	1	X
cet-3942	50	25	)	)	PUNCT
cet-3942	50	26	=	=	NOUN
cet-3942	50	27	(	(	PUNCT
cet-3942	50	28	1	1	NUM
cet-3942	50	29	−	−	PROPN
cet-3942	50	30	𝛽2)𝑛(𝑡	𝛽2)𝑛(𝑡	NOUN
cet-3942	50	31	)	)	PUNCT
cet-3942	50	32	(	(	PUNCT
cet-3942	50	33	4	4	X
cet-3942	50	34	)	)	PUNCT
cet-3942	50	35	in	in	ADP
cet-3942	50	36	the	the	DET
cet-3942	50	37	above	above	ADJ
cet-3942	50	38	equations	equation	NOUN
cet-3942	50	39	,	,	PUNCT
cet-3942	50	40	the	the	DET
cet-3942	50	41	notation	notation	NOUN
cet-3942	50	42	are	be	AUX
cet-3942	50	43	that	that	SCONJ
cet-3942	50	44	𝑥𝑗𝑘	𝑥𝑗𝑘	PROPN
cet-3942	50	45	is	be	AUX
cet-3942	50	46	output	output	NOUN
cet-3942	50	47	of	of	ADP
cet-3942	50	48	neuron	neuron	NOUN
cet-3942	50	49	of	of	ADP
cet-3942	50	50	𝑗𝑘	𝑗𝑘	PROPN
cet-3942	50	51	,	,	PUNCT
cet-3942	50	52	𝑦𝑗𝑘	𝑦𝑗𝑘	PROPN
cet-3942	50	53	is	be	AUX
cet-3942	50	54	input	input	NOUN
cet-3942	50	55	of	of	ADP
cet-3942	50	56	neuron	neuron	NOUN
cet-3942	50	57	of	of	ADP
cet-3942	50	58	𝑗𝑘	𝑗𝑘	PROPN
cet-3942	50	59	,	,	PUNCT
cet-3942	50	60	𝜔𝑗𝑘𝑖𝑙	𝜔𝑗𝑘𝑖𝑙	ADV
cet-3942	50	61	is	be	AUX
cet-3942	50	62	the	the	DET
cet-3942	50	63	connection	connection	NOUN
cet-3942	50	64	weight	weight	NOUN
cet-3942	50	65	from	from	ADP
cet-3942	50	66	neuron	neuron	PROPN
cet-3942	50	67	𝑗𝑘	𝑗𝑘	ADP
cet-3942	50	68	to	to	PART
cet-3942	50	69	neuron	neuron	VERB
cet-3942	50	70	𝑖𝑙	𝑖𝑙	NOUN
cet-3942	50	71	,	,	PUNCT
cet-3942	50	72	𝑧(𝑡	𝑧(𝑡	PROPN
cet-3942	50	73	)	)	PUNCT
cet-3942	50	74	is	be	AUX
cet-3942	50	75	self	self	NOUN
cet-3942	50	76	-	-	PUNCT
cet-3942	50	77	feedback	feedback	NOUN
cet-3942	50	78	connection	connection	NOUN
cet-3942	50	79	weight	weight	NOUN
cet-3942	50	80	,	,	PUNCT
cet-3942	50	81	𝑛(𝑡	𝑛(𝑡	PROPN
cet-3942	50	82	)	)	PUNCT
cet-3942	50	83	is	be	AUX
cet-3942	50	84	random	random	ADJ
cet-3942	50	85	noise	noise	NOUN
cet-3942	50	86	injected	inject	VERB
cet-3942	50	87	into	into	ADP
cet-3942	50	88	the	the	DET
cet-3942	50	89	neurons	neuron	NOUN
cet-3942	50	90	,	,	PUNCT
cet-3942	50	91	𝑘	𝑘	NOUN
cet-3942	50	92	,	,	PUNCT
cet-3942	50	93	𝛼	𝛼	NOUN
cet-3942	50	94	,	,	PUNCT
cet-3942	50	95	𝛽1	𝛽1	NOUN
cet-3942	50	96	and	and	CCONJ
cet-3942	50	97	𝛽2	𝛽2	NOUN
cet-3942	50	98	are	be	AUX
cet-3942	50	99	the	the	DET
cet-3942	50	100	parameter	parameter	NOUN
cet-3942	50	101	of	of	ADP
cet-3942	50	102	damping	damp	VERB
cet-3942	50	103	factor	factor	NOUN
cet-3942	50	104	of	of	ADP
cet-3942	50	105	nerve	nerve	NOUN
cet-3942	50	106	membrane	membrane	NOUN
cet-3942	50	107	,	,	PUNCT
cet-3942	50	108	positive	positive	ADJ
cet-3942	50	109	scaling	scaling	NOUN
cet-3942	50	110	parameter	parameter	NOUN
cet-3942	50	111	for	for	ADP
cet-3942	50	112	inputs	input	NOUN
cet-3942	50	113	,	,	PUNCT
cet-3942	50	114	damping	damp	VERB
cet-3942	50	115	factor	factor	NOUN
cet-3942	50	116	for	for	ADP
cet-3942	50	117	neuronal	neuronal	ADJ
cet-3942	50	118	self	self	NOUN
cet-3942	50	119	-	-	PUNCT
cet-3942	50	120	coupling	couple	VERB
cet-3942	50	121	and	and	CCONJ
cet-3942	50	122	damping	damp	VERB
cet-3942	50	123	factor	factor	NOUN
cet-3942	50	124	for	for	ADP
cet-3942	50	125	stochastic	stochastic	ADJ
cet-3942	50	126	noise	noise	NOUN
cet-3942	50	127	,	,	PUNCT
cet-3942	50	128	𝐼0	𝐼0	PROPN
cet-3942	50	129	is	be	AUX
cet-3942	50	130	positive	positive	ADJ
cet-3942	50	131	parameter	parameter	NOUN
cet-3942	50	132	,	,	PUNCT
cet-3942	50	133	𝜀	𝜀	PROPN
cet-3942	50	134	is	be	AUX
cet-3942	50	135	steepness	steepness	NOUN
cet-3942	50	136	parameter	parameter	NOUN
cet-3942	50	137	of	of	ADP
cet-3942	50	138	the	the	DET
cet-3942	50	139	output	output	NOUN
cet-3942	50	140	function	function	NOUN
cet-3942	50	141	and	and	CCONJ
cet-3942	50	142	𝐸	𝐸	PROPN
cet-3942	50	143	is	be	AUX
cet-3942	50	144	the	the	DET
cet-3942	50	145	energy	energy	NOUN
cet-3942	50	146	function	function	NOUN
cet-3942	50	147	.	.	PUNCT
cet-3942	51	1	3	3	X
cet-3942	51	2	.	.	X
cet-3942	51	3	simulated	simulate	VERB
cet-3942	51	4	annealing	anneal	VERB
cet-3942	51	5	simulated	simulated	ADJ
cet-3942	51	6	annealing	annealing	NOUN
cet-3942	51	7	is	be	AUX
cet-3942	51	8	a	a	DET
cet-3942	51	9	well	well	ADV
cet-3942	51	10	-	-	PUNCT
cet-3942	51	11	established	establish	VERB
cet-3942	51	12	stochastic	stochastic	ADJ
cet-3942	51	13	technique	technique	NOUN
cet-3942	51	14	originally	originally	ADV
cet-3942	51	15	developed	develop	VERB
cet-3942	51	16	to	to	PART
cet-3942	51	17	model	model	VERB
cet-3942	51	18	the	the	DET
cet-3942	51	19	natural	natural	ADJ
cet-3942	51	20	process	process	NOUN
cet-3942	51	21	of	of	ADP
cet-3942	51	22	crystallization	crystallization	NOUN
cet-3942	51	23	and	and	CCONJ
cet-3942	51	24	later	later	ADV
cet-3942	51	25	adopted	adopt	VERB
cet-3942	51	26	to	to	PART
cet-3942	51	27	solve	solve	VERB
cet-3942	51	28	optimization	optimization	NOUN
cet-3942	51	29	problems	problem	NOUN
cet-3942	51	30	.	.	PUNCT
cet-3942	52	1	as	as	ADP
cet-3942	52	2	with	with	ADP
cet-3942	52	3	a	a	DET
cet-3942	52	4	greedy	greedy	ADJ
cet-3942	52	5	search	search	NOUN
cet-3942	52	6	,	,	PUNCT
cet-3942	52	7	it	it	PRON
cet-3942	52	8	accepts	accept	VERB
cet-3942	52	9	all	all	DET
cet-3942	52	10	changes	change	NOUN
cet-3942	52	11	that	that	PRON
cet-3942	52	12	lead	lead	VERB
cet-3942	52	13	to	to	ADP
cet-3942	52	14	improvements	improvement	NOUN
cet-3942	52	15	in	in	ADP
cet-3942	52	16	the	the	DET
cet-3942	52	17	fitness	fitness	NOUN
cet-3942	52	18	of	of	ADP
cet-3942	52	19	a	a	DET
cet-3942	52	20	solution	solution	NOUN
cet-3942	52	21	.	.	PUNCT
cet-3942	53	1	however	however	ADV
cet-3942	53	2	,	,	PUNCT
cet-3942	53	3	it	it	PRON
cet-3942	53	4	differs	differ	VERB
cet-3942	53	5	in	in	ADP
cet-3942	53	6	its	its	PRON
cet-3942	53	7	ability	ability	NOUN
cet-3942	53	8	to	to	PART
cet-3942	53	9	allow	allow	VERB
cet-3942	53	10	the	the	DET
cet-3942	53	11	probabilistic	probabilistic	ADJ
cet-3942	53	12	acceptance	acceptance	NOUN
cet-3942	53	13	of	of	ADP
cet-3942	53	14	changes	change	NOUN
cet-3942	53	15	which	which	PRON
cet-3942	53	16	lead	lead	VERB
cet-3942	53	17	to	to	ADP
cet-3942	53	18	worse	bad	ADJ
cet-3942	53	19	solutions	solution	NOUN
cet-3942	53	20	;	;	PUNCT
cet-3942	53	21	i.e.	i.e.	X
cet-3942	53	22	,	,	PUNCT
cet-3942	53	23	reversals	reversal	NOUN
cet-3942	53	24	in	in	ADP
cet-3942	53	25	fitness	fitness	NOUN
cet-3942	53	26	.	.	PUNCT
cet-3942	54	1	the	the	DET
cet-3942	54	2	probability	probability	NOUN
cet-3942	54	3	of	of	ADP
cet-3942	54	4	464	464	NUM
cet-3942	54	5	accepting	accept	VERB
cet-3942	54	6	a	a	DET
cet-3942	54	7	reversal	reversal	NOUN
cet-3942	54	8	is	be	AUX
cet-3942	54	9	inversely	inversely	ADV
cet-3942	54	10	proportional	proportional	ADJ
cet-3942	54	11	to	to	ADP
cet-3942	54	12	the	the	DET
cet-3942	54	13	size	size	NOUN
cet-3942	54	14	of	of	ADP
cet-3942	54	15	the	the	DET
cet-3942	54	16	reversal	reversal	NOUN
cet-3942	54	17	with	with	ADP
cet-3942	54	18	the	the	DET
cet-3942	54	19	acceptance	acceptance	NOUN
cet-3942	54	20	of	of	ADP
cet-3942	54	21	smaller	small	ADJ
cet-3942	54	22	reversals	reversal	NOUN
cet-3942	54	23	,	,	PUNCT
cet-3942	54	24	being	be	AUX
cet-3942	54	25	more	more	ADV
cet-3942	54	26	probable	probable	ADJ
cet-3942	54	27	.	.	PUNCT
cet-3942	55	1	this	this	DET
cet-3942	55	2	probability	probability	NOUN
cet-3942	55	3	also	also	ADV
cet-3942	55	4	decreases	decrease	VERB
cet-3942	55	5	as	as	SCONJ
cet-3942	55	6	the	the	DET
cet-3942	55	7	search	search	NOUN
cet-3942	55	8	continues	continue	VERB
cet-3942	55	9	,	,	PUNCT
cet-3942	55	10	or	or	CCONJ
cet-3942	55	11	as	as	SCONJ
cet-3942	55	12	the	the	DET
cet-3942	55	13	system	system	NOUN
cet-3942	55	14	cools	cool	VERB
cet-3942	55	15	,	,	PUNCT
cet-3942	55	16	allowing	allow	VERB
cet-3942	55	17	eventual	eventual	ADJ
cet-3942	55	18	convergence	convergence	NOUN
cet-3942	55	19	on	on	ADP
cet-3942	55	20	a	a	DET
cet-3942	55	21	solution	solution	NOUN
cet-3942	55	22	.	.	PUNCT
cet-3942	56	1	it	it	PRON
cet-3942	56	2	is	be	AUX
cet-3942	56	3	defined	define	VERB
cet-3942	56	4	by	by	ADP
cet-3942	56	5	boltzman	boltzman	NOUN
cet-3942	56	6	’s	’s	PART
cet-3942	56	7	equation	equation	NOUN
cet-3942	56	8	:	:	PUNCT
cet-3942	56	9	𝑃(∆𝐸)∞𝑒	𝑃(∆𝐸)∞𝑒	VERB
cet-3942	56	10	−∆𝐸	−∆𝐸	PROPN
cet-3942	56	11	𝑇	𝑇	PROPN
cet-3942	56	12	(	(	PUNCT
cet-3942	56	13	5	5	NUM
cet-3942	56	14	)	)	PUNCT
cet-3942	56	15	in	in	ADP
cet-3942	56	16	which	which	PRON
cet-3942	56	17	∆e	∆e	PROPN
cet-3942	56	18	is	be	AUX
cet-3942	56	19	the	the	DET
cet-3942	56	20	difference	difference	NOUN
cet-3942	56	21	in	in	ADP
cet-3942	56	22	energy	energy	NOUN
cet-3942	56	23	(	(	PUNCT
cet-3942	56	24	fitness	fitness	NOUN
cet-3942	56	25	)	)	PUNCT
cet-3942	56	26	between	between	ADP
cet-3942	56	27	the	the	DET
cet-3942	56	28	old	old	ADJ
cet-3942	56	29	and	and	CCONJ
cet-3942	56	30	new	new	ADJ
cet-3942	56	31	states	state	NOUN
cet-3942	56	32	and	and	CCONJ
cet-3942	56	33	t	t	PROPN
cet-3942	56	34	is	be	AUX
cet-3942	56	35	the	the	DET
cet-3942	56	36	temperature	temperature	NOUN
cet-3942	56	37	of	of	ADP
cet-3942	56	38	the	the	DET
cet-3942	56	39	system	system	NOUN
cet-3942	56	40	.	.	PUNCT
cet-3942	57	1	in	in	ADP
cet-3942	57	2	the	the	DET
cet-3942	57	3	virtual	virtual	ADJ
cet-3942	57	4	environment	environment	NOUN
cet-3942	57	5	,	,	PUNCT
cet-3942	57	6	the	the	DET
cet-3942	57	7	temperature	temperature	NOUN
cet-3942	57	8	of	of	ADP
cet-3942	57	9	the	the	DET
cet-3942	57	10	system	system	NOUN
cet-3942	57	11	is	be	AUX
cet-3942	57	12	lowered	lower	VERB
cet-3942	57	13	after	after	SCONJ
cet-3942	57	14	certain	certain	ADJ
cet-3942	57	15	predefined	predefine	VERB
cet-3942	57	16	number	number	NOUN
cet-3942	57	17	of	of	ADP
cet-3942	57	18	accepted	accept	VERB
cet-3942	57	19	changes	change	NOUN
cet-3942	57	20	,	,	PUNCT
cet-3942	57	21	successes	success	NOUN
cet-3942	57	22	,	,	PUNCT
cet-3942	57	23	or	or	CCONJ
cet-3942	57	24	total	total	ADJ
cet-3942	57	25	changes	change	NOUN
cet-3942	57	26	,	,	PUNCT
cet-3942	57	27	attempts	attempt	NOUN
cet-3942	57	28	,	,	PUNCT
cet-3942	57	29	depending	depend	VERB
cet-3942	57	30	on	on	ADP
cet-3942	57	31	which	which	PRON
cet-3942	57	32	is	be	AUX
cet-3942	57	33	reached	reach	VERB
cet-3942	57	34	first	first	ADV
cet-3942	57	35	.	.	PUNCT
cet-3942	58	1	the	the	DET
cet-3942	58	2	rate	rate	NOUN
cet-3942	58	3	at	at	ADP
cet-3942	58	4	which	which	PRON
cet-3942	58	5	temperature	temperature	NOUN
cet-3942	58	6	decreases	decrease	NOUN
cet-3942	58	7	depends	depend	VERB
cet-3942	58	8	on	on	ADP
cet-3942	58	9	the	the	DET
cet-3942	58	10	cooling	cool	VERB
cet-3942	58	11	schedule	schedule	NOUN
cet-3942	58	12	.	.	PUNCT
cet-3942	59	1	in	in	ADP
cet-3942	59	2	the	the	DET
cet-3942	59	3	natural	natural	ADJ
cet-3942	59	4	process	process	NOUN
cet-3942	59	5	,	,	PUNCT
cet-3942	59	6	the	the	DET
cet-3942	59	7	system	system	NOUN
cet-3942	59	8	cools	cool	VERB
cet-3942	59	9	logarithmically	logarithmically	ADV
cet-3942	59	10	;	;	PUNCT
cet-3942	59	11	however	however	ADV
cet-3942	59	12	,	,	PUNCT
cet-3942	59	13	this	this	PRON
cet-3942	59	14	is	be	AUX
cet-3942	59	15	so	so	SCONJ
cet-3942	59	16	times	time	NOUN
cet-3942	59	17	consuming	consume	VERB
cet-3942	59	18	that	that	SCONJ
cet-3942	59	19	many	many	ADJ
cet-3942	59	20	simplified	simplified	ADJ
cet-3942	59	21	cooling	cool	VERB
cet-3942	59	22	schedules	schedule	NOUN
cet-3942	59	23	have	have	AUX
cet-3942	59	24	been	be	AUX
cet-3942	59	25	introduced	introduce	VERB
cet-3942	59	26	for	for	ADP
cet-3942	59	27	practical	practical	ADJ
cet-3942	59	28	problem	problem	NOUN
cet-3942	59	29	solving	solving	NOUN
cet-3942	59	30	.	.	PUNCT
cet-3942	60	1	the	the	DET
cet-3942	60	2	following	follow	VERB
cet-3942	60	3	simple	simple	ADJ
cet-3942	60	4	cooling	cool	VERB
cet-3942	60	5	model	model	NOUN
cet-3942	60	6	is	be	AUX
cet-3942	60	7	widely	widely	ADV
cet-3942	60	8	used	use	VERB
cet-3942	60	9	:	:	PUNCT
cet-3942	60	10	t(k	t(k	NOUN
cet-3942	60	11	+	+	NOUN
cet-3942	60	12	1	1	X
cet-3942	60	13	)	)	PUNCT
cet-3942	60	14	=	=	PUNCT
cet-3942	60	15	𝑇(𝐾	𝑇(𝐾	NOUN
cet-3942	60	16	)	)	PUNCT
cet-3942	60	17	1+𝜎	1+𝜎	NUM
cet-3942	60	18	(	(	PUNCT
cet-3942	60	19	6	6	NUM
cet-3942	60	20	)	)	PUNCT
cet-3942	60	21	in	in	ADP
cet-3942	60	22	which	which	PRON
cet-3942	60	23	t(k	t(k	NOUN
cet-3942	60	24	+	+	NOUN
cet-3942	60	25	1	1	X
cet-3942	60	26	)	)	PUNCT
cet-3942	60	27	is	be	AUX
cet-3942	60	28	the	the	DET
cet-3942	60	29	current	current	ADJ
cet-3942	60	30	temperature	temperature	NOUN
cet-3942	60	31	,	,	PUNCT
cet-3942	60	32	t(k	t(k	NOUN
cet-3942	60	33	)	)	PUNCT
cet-3942	60	34	is	be	AUX
cet-3942	60	35	the	the	DET
cet-3942	60	36	previous	previous	ADJ
cet-3942	60	37	temperature	temperature	NOUN
cet-3942	60	38	,	,	PUNCT
cet-3942	60	39	and	and	CCONJ
cet-3942	60	40	σ	σ	PROPN
cet-3942	60	41	dictates	dictate	VERB
cet-3942	60	42	the	the	DET
cet-3942	60	43	cooling	cool	VERB
cet-3942	60	44	rate	rate	NOUN
cet-3942	60	45	,	,	PUNCT
cet-3942	60	46	simulated	simulate	VERB
cet-3942	60	47	annealing	annealing	NOUN
cet-3942	60	48	has	have	AUX
cet-3942	60	49	been	be	AUX
cet-3942	60	50	applied	apply	VERB
cet-3942	60	51	to	to	ADP
cet-3942	60	52	such	such	ADJ
cet-3942	60	53	problems	problem	NOUN
cet-3942	60	54	as	as	ADP
cet-3942	60	55	the	the	DET
cet-3942	60	56	well	well	ADV
cet-3942	60	57	-	-	PUNCT
cet-3942	60	58	known	know	VERB
cet-3942	60	59	traveling	travel	VERB
cet-3942	60	60	salesman	salesman	NOUN
cet-3942	60	61	problem	problem	NOUN
cet-3942	60	62	and	and	CCONJ
cet-3942	60	63	function	function	VERB
cet-3942	60	64	optimization	optimization	NOUN
cet-3942	60	65	.	.	PUNCT
cet-3942	61	1	4	4	X
cet-3942	61	2	.	.	X
cet-3942	61	3	results	result	NOUN
cet-3942	61	4	of	of	ADP
cet-3942	61	5	experiments	experiment	NOUN
cet-3942	61	6	4.1	4.1	NUM
cet-3942	61	7	experimental	experimental	ADJ
cet-3942	61	8	setup	setup	NOUN
cet-3942	61	9	the	the	DET
cet-3942	61	10	database	database	NOUN
cet-3942	61	11	used	use	VERB
cet-3942	61	12	in	in	ADP
cet-3942	61	13	this	this	DET
cet-3942	61	14	work	work	NOUN
cet-3942	61	15	is	be	AUX
cet-3942	61	16	the	the	DET
cet-3942	61	17	hep-2	hep-2	PUNCT
cet-3942	61	18	set	set	NOUN
cet-3942	61	19	of	of	ADP
cet-3942	61	20	blood	blood	NOUN
cet-3942	61	21	cell	cell	NOUN
cet-3942	61	22	image	image	NOUN
cet-3942	61	23	provided	provide	VERB
cet-3942	61	24	by	by	ADP
cet-3942	61	25	icpr	icpr	PROPN
cet-3942	61	26	2012	2012	NUM
cet-3942	61	27	for	for	ADP
cet-3942	61	28	classifying	classify	VERB
cet-3942	61	29	the	the	DET
cet-3942	61	30	type	type	NOUN
cet-3942	61	31	of	of	ADP
cet-3942	61	32	blood	blood	NOUN
cet-3942	61	33	cell	cell	NOUN
cet-3942	61	34	(	(	PUNCT
cet-3942	61	35	theera	theera	NOUN
cet-3942	61	36	-	-	PUNCT
cet-3942	61	37	umpon	umpon	PROPN
cet-3942	61	38	and	and	CCONJ
cet-3942	61	39	gader	gader	NOUN
cet-3942	61	40	,	,	PUNCT
cet-3942	61	41	2002	2002	NUM
cet-3942	61	42	)	)	PUNCT
cet-3942	61	43	.	.	PUNCT
cet-3942	62	1	this	this	DET
cet-3942	62	2	data	datum	NOUN
cet-3942	62	3	consist	consist	VERB
cet-3942	62	4	of	of	ADP
cet-3942	62	5	721	721	NUM
cet-3942	62	6	images	image	NOUN
cet-3942	62	7	of	of	ADP
cet-3942	62	8	hep-2	hep-2	PUNCT
cet-3942	62	9	which	which	PRON
cet-3942	62	10	belongs	belong	VERB
cet-3942	62	11	to	to	ADP
cet-3942	62	12	twelve	twelve	NUM
cet-3942	62	13	types	type	NOUN
cet-3942	62	14	.	.	PUNCT
cet-3942	63	1	for	for	ADP
cet-3942	63	2	convenience	convenience	NOUN
cet-3942	63	3	,	,	PUNCT
cet-3942	63	4	all	all	DET
cet-3942	63	5	image	image	NOUN
cet-3942	63	6	are	be	AUX
cet-3942	63	7	processed	process	VERB
cet-3942	63	8	and	and	CCONJ
cet-3942	63	9	transformed	transform	VERB
cet-3942	63	10	into	into	ADP
cet-3942	63	11	the	the	DET
cet-3942	63	12	6464	6464	NUM
cet-3942	63	13	sub	sub	NOUN
cet-3942	63	14	image	image	NOUN
cet-3942	63	15	which	which	PRON
cet-3942	63	16	adopt	adopt	VERB
cet-3942	63	17	the	the	DET
cet-3942	63	18	segment	segment	NOUN
cet-3942	63	19	methods	method	NOUN
cet-3942	63	20	of	of	ADP
cet-3942	63	21	4	4	NUM
cet-3942	63	22	pixel	pixel	NOUN
cet-3942	63	23	4	4	NUM
cet-3942	63	24	pixel	pixel	VERB
cet-3942	63	25	and	and	CCONJ
cet-3942	63	26	get	get	VERB
cet-3942	63	27	16	16	NUM
cet-3942	63	28	16=256	16=256	NUM
cet-3942	63	29	block	block	NOUN
cet-3942	63	30	for	for	ADP
cet-3942	63	31	each	each	DET
cet-3942	63	32	image	image	NOUN
cet-3942	63	33	.	.	PUNCT
cet-3942	64	1	more	more	ADJ
cet-3942	64	2	than	than	ADP
cet-3942	64	3	2000	2000	NUM
cet-3942	64	4	blood	blood	NOUN
cet-3942	64	5	cells	cell	NOUN
cet-3942	64	6	taking	take	VERB
cet-3942	64	7	part	part	NOUN
cet-3942	64	8	in	in	ADP
cet-3942	64	9	the	the	DET
cet-3942	64	10	experiments	experiment	NOUN
cet-3942	64	11	have	have	AUX
cet-3942	64	12	been	be	AUX
cet-3942	64	13	acquired	acquire	VERB
cet-3942	64	14	this	this	DET
cet-3942	64	15	way	way	NOUN
cet-3942	64	16	.	.	PUNCT
cet-3942	65	1	twelve	twelve	NUM
cet-3942	65	2	families	family	NOUN
cet-3942	65	3	of	of	ADP
cet-3942	65	4	cells	cell	NOUN
cet-3942	65	5	have	have	AUX
cet-3942	65	6	been	be	AUX
cet-3942	65	7	used	use	VERB
cet-3942	65	8	in	in	ADP
cet-3942	65	9	the	the	DET
cet-3942	65	10	experiments	experiment	NOUN
cet-3942	65	11	.	.	PUNCT
cet-3942	66	1	the	the	DET
cet-3942	66	2	available	available	ADJ
cet-3942	66	3	blood	blood	NOUN
cet-3942	66	4	cell	cell	NOUN
cet-3942	66	5	image	image	NOUN
cet-3942	66	6	data	datum	NOUN
cet-3942	66	7	is	be	AUX
cet-3942	66	8	divided	divide	VERB
cet-3942	66	9	into	into	ADP
cet-3942	66	10	two	two	NUM
cet-3942	66	11	subsets	subset	NOUN
cet-3942	66	12	:	:	PUNCT
cet-3942	66	13	one	one	NUM
cet-3942	66	14	subset	subset	NOUN
cet-3942	66	15	that	that	PRON
cet-3942	66	16	contains	contain	VERB
cet-3942	66	17	two	two	NUM
cet-3942	66	18	third	third	NOUN
cet-3942	66	19	of	of	ADP
cet-3942	66	20	the	the	DET
cet-3942	66	21	data	data	NOUN
cet-3942	66	22	set	set	NOUN
cet-3942	66	23	has	have	AUX
cet-3942	66	24	been	be	AUX
cet-3942	66	25	used	use	VERB
cet-3942	66	26	in	in	ADP
cet-3942	66	27	learning	learning	NOUN
cet-3942	66	28	and	and	CCONJ
cet-3942	66	29	the	the	DET
cet-3942	66	30	remaining	remain	VERB
cet-3942	66	31	part	part	NOUN
cet-3942	66	32	(	(	PUNCT
cet-3942	66	33	one	one	NUM
cet-3942	66	34	third	third	ADJ
cet-3942	66	35	)	)	PUNCT
cet-3942	66	36	has	have	AUX
cet-3942	66	37	been	be	AUX
cet-3942	66	38	used	use	VERB
cet-3942	66	39	for	for	ADP
cet-3942	66	40	testing	testing	NOUN
cet-3942	66	41	only	only	ADV
cet-3942	66	42	and	and	CCONJ
cet-3942	66	43	5	5	NUM
cet-3942	66	44	times	time	NOUN
cet-3942	66	45	cross	cross	NOUN
cet-3942	66	46	validation	validation	NOUN
cet-3942	66	47	is	be	AUX
cet-3942	66	48	used	use	VERB
cet-3942	66	49	to	to	PART
cet-3942	66	50	perform	perform	VERB
cet-3942	66	51	10	10	NUM
cet-3942	66	52	pass	pass	NOUN
cet-3942	66	53	for	for	ADP
cet-3942	66	54	getting	get	VERB
cet-3942	66	55	the	the	DET
cet-3942	66	56	averaging	averaging	NOUN
cet-3942	66	57	experiment	experiment	NOUN
cet-3942	66	58	results	result	NOUN
cet-3942	66	59	.	.	PUNCT
cet-3942	67	1	the	the	DET
cet-3942	67	2	learning	learn	VERB
cet-3942	67	3	procedure	procedure	NOUN
cet-3942	67	4	of	of	ADP
cet-3942	67	5	cnn	cnn	PROPN
cet-3942	67	6	uses	use	VERB
cet-3942	67	7	the	the	DET
cet-3942	67	8	package	package	NOUN
cet-3942	67	9	of	of	ADP
cet-3942	67	10	general	general	ADJ
cet-3942	67	11	regression	regression	NOUN
cet-3942	67	12	neural	neural	ADJ
cet-3942	67	13	network	network	NOUN
cet-3942	67	14	(	(	PUNCT
cet-3942	67	15	grnn	grnn	PROPN
cet-3942	67	16	)	)	PUNCT
cet-3942	67	17	which	which	PRON
cet-3942	67	18	is	be	AUX
cet-3942	67	19	run	run	VERB
cet-3942	67	20	on	on	ADP
cet-3942	67	21	a3.1	a3.1	ADJ
cet-3942	67	22	ghz	ghz	NOUN
cet-3942	67	23	personal	personal	ADJ
cet-3942	67	24	computer	computer	NOUN
cet-3942	67	25	with	with	ADP
cet-3942	67	26	8	8	NUM
cet-3942	67	27	gb	gb	NOUN
cet-3942	67	28	random	random	ADJ
cet-3942	67	29	access	access	NOUN
cet-3942	67	30	memory	memory	NOUN
cet-3942	67	31	.	.	PUNCT
cet-3942	68	1	4.2	4.2	NUM
cet-3942	68	2	results	result	NOUN
cet-3942	68	3	of	of	ADP
cet-3942	68	4	the	the	DET
cet-3942	68	5	sa	sa	NOUN
cet-3942	68	6	experiments	experiment	NOUN
cet-3942	68	7	since	since	SCONJ
cet-3942	68	8	the	the	DET
cet-3942	68	9	feature	feature	NOUN
cet-3942	68	10	number	number	NOUN
cet-3942	68	11	of	of	ADP
cet-3942	68	12	blood	blood	NOUN
cet-3942	68	13	cell	cell	NOUN
cet-3942	68	14	image	image	NOUN
cet-3942	68	15	is	be	AUX
cet-3942	68	16	very	very	ADV
cet-3942	68	17	large	large	ADJ
cet-3942	68	18	,	,	PUNCT
cet-3942	68	19	we	we	PRON
cet-3942	68	20	have	have	AUX
cet-3942	68	21	applied	apply	VERB
cet-3942	68	22	the	the	DET
cet-3942	68	23	sa	sa	NOUN
cet-3942	68	24	for	for	ADP
cet-3942	68	25	feature	feature	NOUN
cet-3942	68	26	selection	selection	NOUN
cet-3942	68	27	.	.	PUNCT
cet-3942	69	1	to	to	PART
cet-3942	69	2	get	get	VERB
cet-3942	69	3	an	an	DET
cet-3942	69	4	objective	objective	ADJ
cet-3942	69	5	assessment	assessment	NOUN
cet-3942	69	6	of	of	ADP
cet-3942	69	7	the	the	DET
cet-3942	69	8	results	result	NOUN
cet-3942	69	9	,	,	PUNCT
cet-3942	69	10	we	we	PRON
cet-3942	69	11	have	have	AUX
cet-3942	69	12	performed	perform	VERB
cet-3942	69	13	25	25	NUM
cet-3942	69	14	runs	run	NOUN
cet-3942	69	15	of	of	ADP
cet-3942	69	16	the	the	DET
cet-3942	69	17	sa	sa	NOUN
cet-3942	69	18	procedure	procedure	NOUN
cet-3942	69	19	at	at	ADP
cet-3942	69	20	different	different	ADJ
cet-3942	69	21	initial	initial	ADJ
cet-3942	69	22	temperature	temperature	NOUN
cet-3942	69	23	with	with	ADP
cet-3942	69	24	the	the	DET
cet-3942	69	25	different	different	ADJ
cet-3942	69	26	initial	initial	ADJ
cet-3942	69	27	population	population	NOUN
cet-3942	69	28	and	and	CCONJ
cet-3942	69	29	different	different	ADJ
cet-3942	69	30	divisions	division	NOUN
cet-3942	69	31	of	of	ADP
cet-3942	69	32	the	the	DET
cet-3942	69	33	data	datum	NOUN
cet-3942	69	34	for	for	ADP
cet-3942	69	35	the	the	DET
cet-3942	69	36	learning	learning	NOUN
cet-3942	69	37	and	and	CCONJ
cet-3942	69	38	testing	testing	NOUN
cet-3942	69	39	subset	subset	NOUN
cet-3942	69	40	.	.	PUNCT
cet-3942	70	1	the	the	DET
cet-3942	70	2	best	good	ADJ
cet-3942	70	3	results	result	NOUN
cet-3942	70	4	of	of	ADP
cet-3942	70	5	the	the	DET
cet-3942	70	6	sa	sa	PROPN
cet-3942	70	7	have	have	AUX
cet-3942	70	8	been	be	AUX
cet-3942	70	9	compared	compare	VERB
cet-3942	70	10	with	with	ADP
cet-3942	70	11	the	the	DET
cet-3942	70	12	results	result	NOUN
cet-3942	70	13	obtained	obtain	VERB
cet-3942	70	14	with	with	ADP
cet-3942	70	15	the	the	DET
cet-3942	70	16	application	application	NOUN
cet-3942	70	17	of	of	ADP
cet-3942	70	18	all	all	DET
cet-3942	70	19	features	feature	NOUN
cet-3942	70	20	and	and	CCONJ
cet-3942	70	21	also	also	ADV
cet-3942	70	22	with	with	ADP
cet-3942	70	23	the	the	DET
cet-3942	70	24	best	good	ADJ
cet-3942	70	25	results	result	NOUN
cet-3942	70	26	corresponding	correspond	VERB
cet-3942	70	27	to	to	ADP
cet-3942	70	28	the	the	DET
cet-3942	70	29	20	20	NUM
cet-3942	70	30	features	feature	NOUN
cet-3942	70	31	selected	select	VERB
cet-3942	70	32	using	use	VERB
cet-3942	70	33	linear	linear	PROPN
cet-3942	70	34	cnn	cnn	PROPN
cet-3942	70	35	ranking	ranking	PROPN
cet-3942	70	36	.	.	PUNCT
cet-3942	70	37	table	table	NOUN
cet-3942	70	38	1	1	NUM
cet-3942	70	39	:	:	PUNCT
cet-3942	70	40	results	result	NOUN
cet-3942	70	41	of	of	ADP
cet-3942	70	42	the	the	DET
cet-3942	70	43	blood	blood	NOUN
cet-3942	70	44	cell	cell	NOUN
cet-3942	70	45	recognition	recognition	NOUN
cet-3942	70	46	error	error	NOUN
cet-3942	70	47	rate	rate	NOUN
cet-3942	70	48	in	in	ADP
cet-3942	70	49	the	the	DET
cet-3942	70	50	best	good	ADJ
cet-3942	70	51	run	run	NOUN
cet-3942	70	52	of	of	ADP
cet-3942	70	53	sa	sa	PROPN
cet-3942	70	54	cell	cell	NOUN
cet-3942	70	55	type	type	NOUN
cet-3942	70	56	sa	sa	PROPN
cet-3942	70	57	cnn(20	cnn(20	PROPN
cet-3942	70	58	features	feature	NOUN
cet-3942	70	59	)	)	PUNCT
cet-3942	70	60	all	all	PRON
cet-3942	70	61	feature	feature	VERB
cet-3942	70	62	1	1	NUM
cet-3942	70	63	16.21	16.21	NUM
cet-3942	70	64	%	%	NOUN
cet-3942	70	65	18.36	18.36	NUM
cet-3942	70	66	%	%	NOUN
cet-3942	70	67	23.67	23.67	NUM
cet-3942	70	68	%	%	NOUN
cet-3942	70	69	2	2	NUM
cet-3942	70	70	9.63	9.63	NUM
cet-3942	70	71	%	%	NOUN
cet-3942	70	72	15.43	15.43	NUM
cet-3942	70	73	%	%	NOUN
cet-3942	70	74	18.64	18.64	NUM
cet-3942	70	75	%	%	NOUN
cet-3942	70	76	3	3	NUM
cet-3942	70	77	21.58	21.58	NUM
cet-3942	70	78	%	%	NOUN
cet-3942	70	79	24.21	24.21	NUM
cet-3942	70	80	%	%	NOUN
cet-3942	70	81	30.02	30.02	NUM
cet-3942	70	82	%	%	NOUN
cet-3942	70	83	4	4	NUM
cet-3942	70	84	15.31	15.31	NUM
cet-3942	70	85	%	%	NOUN
cet-3942	70	86	18.62	18.62	NUM
cet-3942	70	87	%	%	NOUN
cet-3942	70	88	19.97	19.97	NUM
cet-3942	70	89	%	%	NOUN
cet-3942	70	90	5	5	NUM
cet-3942	70	91	18.63	18.63	NUM
cet-3942	70	92	%	%	NOUN
cet-3942	70	93	24.37	24.37	NUM
cet-3942	70	94	%	%	NOUN
cet-3942	70	95	28.94	28.94	NUM
cet-3942	70	96	%	%	NOUN
cet-3942	70	97	6	6	NUM
cet-3942	70	98	16.37	16.37	NUM
cet-3942	70	99	%	%	NOUN
cet-3942	70	100	18.36	18.36	NUM
cet-3942	70	101	%	%	NOUN
cet-3942	70	102	21.33	21.33	NUM
cet-3942	70	103	%	%	NOUN
cet-3942	70	104	7	7	NUM
cet-3942	70	105	12.35	12.35	NUM
cet-3942	70	106	%	%	NOUN
cet-3942	70	107	15.63	15.63	NUM
cet-3942	70	108	%	%	NOUN
cet-3942	70	109	19.23	19.23	NUM
cet-3942	70	110	%	%	NOUN
cet-3942	70	111	8	8	NUM
cet-3942	70	112	8.36	8.36	NUM
cet-3942	70	113	%	%	NOUN
cet-3942	70	114	12.68	12.68	NUM
cet-3942	70	115	%	%	NOUN
cet-3942	70	116	17.25	17.25	NUM
cet-3942	70	117	%	%	NOUN
cet-3942	70	118	9	9	NUM
cet-3942	70	119	21.58	21.58	NUM
cet-3942	70	120	%	%	NOUN
cet-3942	70	121	25.74	25.74	NUM
cet-3942	70	122	%	%	NOUN
cet-3942	70	123	29.37	29.37	NUM
cet-3942	70	124	%	%	NOUN
cet-3942	70	125	10	10	NUM
cet-3942	70	126	11.23	11.23	NUM
cet-3942	70	127	%	%	NOUN
cet-3942	70	128	12.58	12.58	NUM
cet-3942	70	129	%	%	NOUN
cet-3942	70	130	14.37	14.37	NUM
cet-3942	70	131	%	%	NOUN
cet-3942	70	132	11	11	NUM
cet-3942	70	133	13.58	13.58	NUM
cet-3942	70	134	%	%	NOUN
cet-3942	70	135	16.37	16.37	NUM
cet-3942	70	136	%	%	NOUN
cet-3942	70	137	18.92	18.92	NUM
cet-3942	70	138	%	%	NOUN
cet-3942	70	139	12	12	NUM
cet-3942	70	140	29.49	29.49	NUM
cet-3942	70	141	%	%	NOUN
cet-3942	70	142	31.25	31.25	NUM
cet-3942	70	143	%	%	NOUN
cet-3942	70	144	37.29	37.29	NUM
cet-3942	70	145	%	%	NOUN
cet-3942	70	146	average	average	ADJ
cet-3942	70	147	16.19	16.19	NUM
cet-3942	70	148	%	%	NOUN
cet-3942	70	149	19.47	19.47	NUM
cet-3942	70	150	%	%	NOUN
cet-3942	70	151	23.25	23.25	NUM
cet-3942	70	152	%	%	NOUN
cet-3942	70	153	465	465	NUM
cet-3942	70	154	table	table	NOUN
cet-3942	70	155	1	1	NUM
cet-3942	70	156	depicts	depict	VERB
cet-3942	70	157	the	the	DET
cet-3942	70	158	results	result	NOUN
cet-3942	70	159	of	of	ADP
cet-3942	70	160	the	the	DET
cet-3942	70	161	relative	relative	ADJ
cet-3942	70	162	recognition	recognition	NOUN
cet-3942	70	163	error	error	NOUN
cet-3942	70	164	of	of	ADP
cet-3942	70	165	the	the	DET
cet-3942	70	166	cells	cell	NOUN
cet-3942	70	167	using	use	VERB
cet-3942	70	168	the	the	DET
cet-3942	70	169	proposed	propose	VERB
cet-3942	70	170	sa	sa	NOUN
cet-3942	70	171	method	method	NOUN
cet-3942	70	172	and	and	CCONJ
cet-3942	70	173	the	the	DET
cet-3942	70	174	selection	selection	NOUN
cet-3942	70	175	using	use	VERB
cet-3942	70	176	linear	linear	PROPN
cet-3942	70	177	cnn	cnn	PROPN
cet-3942	70	178	ranking	ranking	NOUN
cet-3942	70	179	,	,	PUNCT
cet-3942	70	180	with	with	ADP
cet-3942	70	181	the	the	DET
cet-3942	70	182	application	application	NOUN
cet-3942	70	183	of	of	ADP
cet-3942	70	184	the	the	DET
cet-3942	70	185	20	20	NUM
cet-3942	70	186	best	good	ADJ
cet-3942	70	187	features	feature	NOUN
cet-3942	70	188	and	and	CCONJ
cet-3942	70	189	no	no	DET
cet-3942	70	190	ranking	ranking	NOUN
cet-3942	70	191	of	of	ADP
cet-3942	70	192	features	feature	NOUN
cet-3942	70	193	.	.	PUNCT
cet-3942	71	1	all	all	DET
cet-3942	71	2	errors	error	NOUN
cet-3942	71	3	have	have	AUX
cet-3942	71	4	been	be	AUX
cet-3942	71	5	computed	compute	VERB
cet-3942	71	6	as	as	ADP
cet-3942	71	7	the	the	DET
cet-3942	71	8	difference	difference	NOUN
cet-3942	71	9	between	between	ADP
cet-3942	71	10	the	the	DET
cet-3942	71	11	results	result	NOUN
cet-3942	71	12	of	of	ADP
cet-3942	71	13	our	our	PRON
cet-3942	71	14	system	system	NOUN
cet-3942	71	15	and	and	CCONJ
cet-3942	71	16	the	the	DET
cet-3942	71	17	human	human	ADJ
cet-3942	71	18	expert	expert	NOUN
cet-3942	71	19	score	score	NOUN
cet-3942	71	20	used	use	VERB
cet-3942	71	21	as	as	ADP
cet-3942	71	22	the	the	DET
cet-3942	71	23	reference	reference	NOUN
cet-3942	71	24	.	.	PUNCT
cet-3942	72	1	the	the	DET
cet-3942	72	2	errors	error	NOUN
cet-3942	72	3	have	have	AUX
cet-3942	72	4	been	be	AUX
cet-3942	72	5	calculated	calculate	VERB
cet-3942	72	6	as	as	ADP
cet-3942	72	7	the	the	DET
cet-3942	72	8	ratio	ratio	NOUN
cet-3942	72	9	of	of	ADP
cet-3942	72	10	the	the	DET
cet-3942	72	11	number	number	NOUN
cet-3942	72	12	of	of	ADP
cet-3942	72	13	misclassified	misclassifie	VERB
cet-3942	72	14	samples	sample	NOUN
cet-3942	72	15	to	to	ADP
cet-3942	72	16	the	the	DET
cet-3942	72	17	total	total	ADJ
cet-3942	72	18	number	number	NOUN
cet-3942	72	19	of	of	ADP
cet-3942	72	20	cells	cell	NOUN
cet-3942	72	21	belonging	belong	VERB
cet-3942	72	22	to	to	ADP
cet-3942	72	23	the	the	DET
cet-3942	72	24	appropriate	appropriate	ADJ
cet-3942	72	25	class	class	NOUN
cet-3942	72	26	.	.	PUNCT
cet-3942	73	1	the	the	DET
cet-3942	73	2	average	average	ADJ
cet-3942	73	3	error	error	NOUN
cet-3942	73	4	of	of	ADP
cet-3942	73	5	recognition	recognition	NOUN
cet-3942	73	6	was	be	AUX
cet-3942	73	7	calculated	calculate	VERB
cet-3942	73	8	as	as	ADP
cet-3942	73	9	the	the	DET
cet-3942	73	10	ratio	ratio	NOUN
cet-3942	73	11	of	of	ADP
cet-3942	73	12	the	the	DET
cet-3942	73	13	number	number	NOUN
cet-3942	73	14	of	of	ADP
cet-3942	73	15	misclassified	misclassifie	VERB
cet-3942	73	16	samples	sample	NOUN
cet-3942	73	17	to	to	ADP
cet-3942	73	18	the	the	DET
cet-3942	73	19	total	total	ADJ
cet-3942	73	20	number	number	NOUN
cet-3942	73	21	of	of	ADP
cet-3942	73	22	samples	sample	NOUN
cet-3942	73	23	in	in	ADP
cet-3942	73	24	the	the	DET
cet-3942	73	25	last	last	ADJ
cet-3942	73	26	row	row	NOUN
cet-3942	73	27	of	of	ADP
cet-3942	73	28	the	the	DET
cet-3942	73	29	table	table	NOUN
cet-3942	73	30	1.as	1.as	NOUN
cet-3942	73	31	shown	show	VERB
cet-3942	73	32	in	in	ADP
cet-3942	73	33	table	table	NOUN
cet-3942	73	34	1	1	NUM
cet-3942	73	35	,	,	PUNCT
cet-3942	73	36	although	although	SCONJ
cet-3942	73	37	the	the	DET
cet-3942	73	38	best	good	ADJ
cet-3942	73	39	results	result	NOUN
cet-3942	73	40	of	of	ADP
cet-3942	73	41	the	the	DET
cet-3942	73	42	sa	sa	NOUN
cet-3942	73	43	is	be	AUX
cet-3942	73	44	the	the	DET
cet-3942	73	45	best	good	ADJ
cet-3942	73	46	in	in	ADP
cet-3942	73	47	three	three	NUM
cet-3942	73	48	above	above	ADJ
cet-3942	73	49	cases	case	NOUN
cet-3942	73	50	,	,	PUNCT
cet-3942	73	51	the	the	DET
cet-3942	73	52	case	case	NOUN
cet-3942	73	53	of	of	ADP
cet-3942	73	54	cnn	cnn	PROPN
cet-3942	73	55	with	with	ADP
cet-3942	73	56	20	20	NUM
cet-3942	73	57	features	feature	NOUN
cet-3942	73	58	is	be	AUX
cet-3942	73	59	almost	almost	ADV
cet-3942	73	60	the	the	DET
cet-3942	73	61	same	same	ADJ
cet-3942	73	62	as	as	ADP
cet-3942	73	63	that	that	PRON
cet-3942	73	64	of	of	ADP
cet-3942	73	65	sa	sa	PROPN
cet-3942	73	66	.	.	PUNCT
cet-3942	74	1	so	so	ADV
cet-3942	74	2	the	the	DET
cet-3942	74	3	followed	follow	VERB
cet-3942	74	4	recognition	recognition	NOUN
cet-3942	74	5	process	process	NOUN
cet-3942	74	6	adopts	adopt	VERB
cet-3942	74	7	the	the	DET
cet-3942	74	8	20	20	NUM
cet-3942	74	9	features	feature	NOUN
cet-3942	74	10	obtained	obtain	VERB
cet-3942	74	11	by	by	ADP
cet-3942	74	12	sa	sa	PROPN
cet-3942	74	13	as	as	ADP
cet-3942	74	14	the	the	DET
cet-3942	74	15	major	major	ADJ
cet-3942	74	16	feature	feature	NOUN
cet-3942	74	17	for	for	ADP
cet-3942	74	18	cnn	cnn	PROPN
cet-3942	74	19	classification	classification	NOUN
cet-3942	74	20	.	.	PUNCT
cet-3942	75	1	table	table	NOUN
cet-3942	75	2	2	2	NUM
cet-3942	75	3	presents	present	VERB
cet-3942	75	4	the	the	DET
cet-3942	75	5	mean	mean	ADJ
cet-3942	75	6	and	and	CCONJ
cet-3942	75	7	standard	standard	ADJ
cet-3942	75	8	deviation	deviation	NOUN
cet-3942	75	9	of	of	ADP
cet-3942	75	10	recognition	recognition	NOUN
cet-3942	75	11	accuracy	accuracy	NOUN
cet-3942	75	12	rate	rate	NOUN
cet-3942	75	13	for	for	ADP
cet-3942	75	14	12	12	NUM
cet-3942	75	15	types	type	NOUN
cet-3942	75	16	of	of	ADP
cet-3942	75	17	blood	blood	NOUN
cet-3942	75	18	cell	cell	NOUN
cet-3942	75	19	and	and	CCONJ
cet-3942	75	20	the	the	DET
cet-3942	75	21	last	last	ADJ
cet-3942	75	22	row	row	NOUN
cet-3942	75	23	give	give	VERB
cet-3942	75	24	the	the	DET
cet-3942	75	25	mean	mean	ADJ
cet-3942	75	26	result	result	NOUN
cet-3942	75	27	of	of	ADP
cet-3942	75	28	12	12	NUM
cet-3942	75	29	types	type	NOUN
cet-3942	75	30	of	of	ADP
cet-3942	75	31	blood	blood	NOUN
cet-3942	75	32	cell	cell	NOUN
cet-3942	75	33	.	.	PUNCT
cet-3942	76	1	as	as	SCONJ
cet-3942	76	2	table	table	NOUN
cet-3942	76	3	2	2	NUM
cet-3942	76	4	shown	show	VERB
cet-3942	76	5	,	,	PUNCT
cet-3942	76	6	the	the	DET
cet-3942	76	7	recognition	recognition	NOUN
cet-3942	76	8	accuracy	accuracy	NOUN
cet-3942	76	9	rate	rate	NOUN
cet-3942	76	10	of	of	ADP
cet-3942	76	11	cnn	cnn	PROPN
cet-3942	76	12	is	be	AUX
cet-3942	76	13	stable	stable	ADJ
cet-3942	76	14	for	for	ADP
cet-3942	76	15	all	all	DET
cet-3942	76	16	types	type	NOUN
cet-3942	76	17	of	of	ADP
cet-3942	76	18	blood	blood	NOUN
cet-3942	76	19	cell	cell	NOUN
cet-3942	76	20	.	.	PUNCT
cet-3942	77	1	table	table	NOUN
cet-3942	77	2	2	2	NUM
cet-3942	77	3	:	:	PUNCT
cet-3942	77	4	the	the	DET
cet-3942	77	5	results	result	NOUN
cet-3942	77	6	of	of	ADP
cet-3942	77	7	the	the	DET
cet-3942	77	8	blood	blood	NOUN
cet-3942	77	9	cell	cell	NOUN
cet-3942	77	10	recognition	recognition	NOUN
cet-3942	77	11	accuracy	accuracy	NOUN
cet-3942	77	12	rate	rate	NOUN
cet-3942	77	13	using	use	VERB
cet-3942	77	14	cnn	cnn	PROPN
cet-3942	77	15	cell	cell	NOUN
cet-3942	77	16	type	type	NOUN
cet-3942	77	17	mean	mean	NOUN
cet-3942	77	18	of	of	ADP
cet-3942	77	19	recognition	recognition	NOUN
cet-3942	77	20	accuracy	accuracy	NOUN
cet-3942	77	21	rate	rate	NOUN
cet-3942	77	22	standard	standard	ADJ
cet-3942	77	23	deviation	deviation	NOUN
cet-3942	77	24	of	of	ADP
cet-3942	77	25	recognition	recognition	NOUN
cet-3942	77	26	accuracy	accuracy	NOUN
cet-3942	77	27	rate	rate	NOUN
cet-3942	77	28	1	1	NUM
cet-3942	77	29	82.23	82.23	NUM
cet-3942	77	30	%	%	NOUN
cet-3942	77	31	2.31	2.31	NUM
cet-3942	77	32	%	%	NOUN
cet-3942	77	33	2	2	NUM
cet-3942	77	34	83.62	83.62	NUM
cet-3942	77	35	%	%	NOUN
cet-3942	77	36	3.12	3.12	NUM
cet-3942	77	37	%	%	NOUN
cet-3942	77	38	3	3	NUM
cet-3942	77	39	79.21	79.21	NUM
cet-3942	77	40	%	%	NOUN
cet-3942	77	41	3.93	3.93	NUM
cet-3942	77	42	%	%	NOUN
cet-3942	77	43	4	4	NUM
cet-3942	77	44	83.54	83.54	NUM
cet-3942	77	45	%	%	NOUN
cet-3942	77	46	2.92	2.92	NUM
cet-3942	77	47	%	%	NOUN
cet-3942	77	48	5	5	NUM
cet-3942	77	49	84.57	84.57	NUM
cet-3942	77	50	%	%	NOUN
cet-3942	77	51	1.82	1.82	NUM
cet-3942	77	52	%	%	NOUN
cet-3942	77	53	6	6	NUM
cet-3942	77	54	86.67	86.67	NUM
cet-3942	77	55	%	%	NOUN
cet-3942	77	56	2.84	2.84	NUM
cet-3942	77	57	%	%	NOUN
cet-3942	77	58	7	7	NUM
cet-3942	77	59	81.25	81.25	NUM
cet-3942	77	60	%	%	NOUN
cet-3942	77	61	3.21	3.21	NUM
cet-3942	77	62	%	%	NOUN
cet-3942	77	63	8	8	NUM
cet-3942	77	64	85.36	85.36	NUM
cet-3942	77	65	%	%	NOUN
cet-3942	77	66	2.17	2.17	NUM
cet-3942	77	67	%	%	NOUN
cet-3942	77	68	9	9	NUM
cet-3942	77	69	86.97	86.97	NUM
cet-3942	77	70	%	%	NOUN
cet-3942	77	71	1.12	1.12	NUM
cet-3942	77	72	%	%	NOUN
cet-3942	77	73	10	10	NUM
cet-3942	77	74	82.14	82.14	NUM
cet-3942	77	75	%	%	NOUN
cet-3942	77	76	2.39	2.39	NUM
cet-3942	77	77	%	%	NOUN
cet-3942	77	78	11	11	NUM
cet-3942	77	79	81.51	81.51	NUM
cet-3942	77	80	%	%	NOUN
cet-3942	77	81	5.36	5.36	NUM
cet-3942	77	82	%	%	NOUN
cet-3942	77	83	12	12	NUM
cet-3942	77	84	76.81	76.81	NUM
cet-3942	77	85	%	%	NOUN
cet-3942	77	86	2.39	2.39	NUM
cet-3942	77	87	%	%	NOUN
cet-3942	77	88	average	average	ADJ
cet-3942	77	89	82.82	82.82	NUM
cet-3942	77	90	%	%	NOUN
cet-3942	77	91	2.80	2.80	NUM
cet-3942	77	92	%	%	NOUN
cet-3942	77	93	4.3	4.3	NUM
cet-3942	77	94	comparing	compare	VERB
cet-3942	77	95	study	study	NOUN
cet-3942	77	96	of	of	ADP
cet-3942	77	97	experiment	experiment	NOUN
cet-3942	77	98	this	this	DET
cet-3942	77	99	paper	paper	NOUN
cet-3942	77	100	is	be	AUX
cet-3942	77	101	a	a	DET
cet-3942	77	102	study	study	NOUN
cet-3942	77	103	of	of	ADP
cet-3942	77	104	automatic	automatic	ADJ
cet-3942	77	105	cell	cell	NOUN
cet-3942	77	106	classification	classification	NOUN
cet-3942	77	107	in	in	ADP
cet-3942	77	108	the	the	DET
cet-3942	77	109	classification	classification	NOUN
cet-3942	77	110	process	process	NOUN
cet-3942	77	111	,	,	PUNCT
cet-3942	77	112	the	the	DET
cet-3942	77	113	classification	classification	NOUN
cet-3942	77	114	of	of	ADP
cet-3942	77	115	nuclear	nuclear	ADJ
cet-3942	77	116	extract	extract	NOUN
cet-3942	77	117	follow	follow	NOUN
cet-3942	77	118	-	-	PUNCT
cet-3942	77	119	up	up	NOUN
cet-3942	77	120	is	be	AUX
cet-3942	77	121	essential	essential	ADJ
cet-3942	77	122	,	,	PUNCT
cet-3942	77	123	it	it	PRON
cet-3942	77	124	is	be	AUX
cet-3942	77	125	the	the	DET
cet-3942	77	126	relationship	relationship	NOUN
cet-3942	77	127	between	between	ADP
cet-3942	77	128	the	the	DET
cet-3942	77	129	training	training	NOUN
cet-3942	77	130	samples	sample	NOUN
cet-3942	77	131	and	and	CCONJ
cet-3942	77	132	the	the	DET
cet-3942	77	133	accuracy	accuracy	NOUN
cet-3942	77	134	of	of	ADP
cet-3942	77	135	the	the	DET
cet-3942	77	136	classification	classification	NOUN
cet-3942	77	137	results	result	NOUN
cet-3942	77	138	,	,	PUNCT
cet-3942	77	139	as	as	SCONJ
cet-3942	77	140	everyone	everyone	PRON
cet-3942	77	141	knows	know	VERB
cet-3942	77	142	the	the	DET
cet-3942	77	143	training	training	NOUN
cet-3942	77	144	model	model	NOUN
cet-3942	77	145	is	be	AUX
cet-3942	77	146	good	good	ADJ
cet-3942	77	147	or	or	CCONJ
cet-3942	77	148	bad	bad	ADJ
cet-3942	77	149	depends	depend	VERB
cet-3942	77	150	entirely	entirely	ADV
cet-3942	77	151	on	on	ADP
cet-3942	77	152	the	the	DET
cet-3942	77	153	training	training	NOUN
cet-3942	77	154	model	model	NOUN
cet-3942	77	155	of	of	ADP
cet-3942	77	156	training	training	NOUN
cet-3942	77	157	sample	sample	NOUN
cet-3942	77	158	training	training	NOUN
cet-3942	77	159	.	.	PUNCT
cet-3942	78	1	according	accord	VERB
cet-3942	78	2	to	to	ADP
cet-3942	78	3	the	the	DET
cet-3942	78	4	following	follow	VERB
cet-3942	78	5	sampling	sample	VERB
cet-3942	78	6	strategy	strategy	NOUN
cet-3942	78	7	,	,	PUNCT
cet-3942	78	8	two	two	NUM
cet-3942	78	9	indicators	indicator	NOUN
cet-3942	78	10	of	of	ADP
cet-3942	78	11	over	over	ADP
cet-3942	78	12	fitting	fitting	ADJ
cet-3942	78	13	rate	rate	NOUN
cet-3942	78	14	and	and	CCONJ
cet-3942	78	15	under	under	ADP
cet-3942	78	16	fitting	fitting	ADJ
cet-3942	78	17	rate	rate	NOUN
cet-3942	78	18	are	be	AUX
cet-3942	78	19	used	use	VERB
cet-3942	78	20	to	to	PART
cet-3942	78	21	determine	determine	VERB
cet-3942	78	22	the	the	DET
cet-3942	78	23	classification	classification	NOUN
cet-3942	78	24	results	result	NOUN
cet-3942	78	25	in	in	ADP
cet-3942	78	26	which	which	PRON
cet-3942	78	27	results	result	NOUN
cet-3942	78	28	obtained	obtain	VERB
cet-3942	78	29	by	by	ADP
cet-3942	78	30	over	over	ADP
cet-3942	78	31	fitting	fitting	ADJ
cet-3942	78	32	rate	rate	NOUN
cet-3942	78	33	on	on	ADP
cet-3942	78	34	the	the	DET
cet-3942	78	35	classification	classification	NOUN
cet-3942	78	36	are	be	AUX
cet-3942	78	37	very	very	ADV
cet-3942	78	38	large	large	ADJ
cet-3942	78	39	and	and	CCONJ
cet-3942	78	40	the	the	DET
cet-3942	78	41	smaller	small	ADJ
cet-3942	78	42	it	it	PRON
cet-3942	78	43	is	be	AUX
cet-3942	78	44	and	and	CCONJ
cet-3942	78	45	the	the	DET
cet-3942	78	46	better	well	ADJ
cet-3942	78	47	is	be	AUX
cet-3942	78	48	it	it	PRON
cet-3942	78	49	,	,	PUNCT
cet-3942	78	50	so	so	ADV
cet-3942	78	51	its	its	PRON
cet-3942	78	52	value	value	NOUN
cet-3942	78	53	is	be	AUX
cet-3942	78	54	not	not	PART
cet-3942	78	55	too	too	ADV
cet-3942	78	56	large	large	ADJ
cet-3942	78	57	.	.	PUNCT
cet-3942	79	1	table	table	NOUN
cet-3942	79	2	2	2	NUM
cet-3942	79	3	presents	present	VERB
cet-3942	79	4	the	the	DET
cet-3942	79	5	statistical	statistical	ADJ
cet-3942	79	6	measures	measure	NOUN
cet-3942	79	7	of	of	ADP
cet-3942	79	8	the	the	DET
cet-3942	79	9	accuracy	accuracy	NOUN
cet-3942	79	10	of	of	ADP
cet-3942	79	11	the	the	DET
cet-3942	79	12	cnn	cnn	PROPN
cet-3942	79	13	approach	approach	NOUN
cet-3942	79	14	to	to	ADP
cet-3942	79	15	the	the	DET
cet-3942	79	16	recognition	recognition	NOUN
cet-3942	79	17	of	of	ADP
cet-3942	79	18	the	the	DET
cet-3942	79	19	considered	considered	ADJ
cet-3942	79	20	blood	blood	NOUN
cet-3942	79	21	cells	cell	NOUN
cet-3942	79	22	.	.	PUNCT
cet-3942	80	1	the	the	DET
cet-3942	80	2	statistics	statistic	NOUN
cet-3942	80	3	(	(	PUNCT
cet-3942	80	4	the	the	DET
cet-3942	80	5	mean	mean	ADJ
cet-3942	80	6	value	value	NOUN
cet-3942	80	7	and	and	CCONJ
cet-3942	80	8	the	the	DET
cet-3942	80	9	standard	standard	ADJ
cet-3942	80	10	deviation	deviation	NOUN
cet-3942	80	11	)	)	PUNCT
cet-3942	80	12	have	have	AUX
cet-3942	80	13	been	be	AUX
cet-3942	80	14	estimated	estimate	VERB
cet-3942	80	15	based	base	VERB
cet-3942	80	16	on	on	ADP
cet-3942	80	17	25	25	NUM
cet-3942	80	18	independent	independent	ADJ
cet-3942	80	19	runs	run	NOUN
cet-3942	80	20	of	of	ADP
cet-3942	80	21	the	the	DET
cet-3942	80	22	cnn	cnn	PROPN
cet-3942	80	23	.	.	PUNCT
cet-3942	81	1	we	we	PRON
cet-3942	81	2	see	see	VERB
cet-3942	81	3	that	that	SCONJ
cet-3942	81	4	the	the	DET
cet-3942	81	5	results	result	NOUN
cet-3942	81	6	of	of	ADP
cet-3942	81	7	the	the	DET
cet-3942	81	8	individual	individual	ADJ
cet-3942	81	9	runs	run	NOUN
cet-3942	81	10	of	of	ADP
cet-3942	81	11	the	the	DET
cet-3942	81	12	cnn	cnn	PROPN
cet-3942	81	13	are	be	AUX
cet-3942	81	14	close	close	ADJ
cet-3942	81	15	to	to	ADP
cet-3942	81	16	each	each	DET
cet-3942	81	17	other	other	ADJ
cet-3942	81	18	.	.	PUNCT
cet-3942	82	1	(	(	PUNCT
cet-3942	82	2	standard	standard	ADJ
cet-3942	82	3	deviations	deviation	NOUN
cet-3942	82	4	take	take	VERB
cet-3942	82	5	small	small	ADJ
cet-3942	82	6	values	value	NOUN
cet-3942	82	7	.	.	PUNCT
cet-3942	82	8	)	)	PUNCT
cet-3942	83	1	however	however	ADV
cet-3942	83	2	,	,	PUNCT
cet-3942	83	3	the	the	DET
cet-3942	83	4	accuracy	accuracy	NOUN
cet-3942	83	5	of	of	ADP
cet-3942	83	6	recognition	recognition	NOUN
cet-3942	83	7	varies	vary	VERB
cet-3942	83	8	from	from	ADP
cet-3942	83	9	class	class	NOUN
cet-3942	83	10	to	to	ADP
cet-3942	83	11	class	class	NOUN
cet-3942	83	12	.	.	PUNCT
cet-3942	84	1	for	for	ADP
cet-3942	84	2	some	some	DET
cet-3942	84	3	classes	class	NOUN
cet-3942	84	4	,	,	PUNCT
cet-3942	84	5	the	the	DET
cet-3942	84	6	relative	relative	ADJ
cet-3942	84	7	misclassification	misclassification	NOUN
cet-3942	84	8	rate	rate	NOUN
cet-3942	84	9	is	be	AUX
cet-3942	84	10	rather	rather	ADV
cet-3942	84	11	high	high	ADJ
cet-3942	84	12	(	(	PUNCT
cet-3942	84	13	yin	yin	NOUN
cet-3942	84	14	and	and	CCONJ
cet-3942	84	15	liu	liu	PROPN
cet-3942	84	16	,	,	PUNCT
cet-3942	84	17	2015	2015	NUM
cet-3942	84	18	)	)	PUNCT
cet-3942	84	19	.	.	PUNCT
cet-3942	85	1	this	this	PRON
cet-3942	85	2	is	be	AUX
cet-3942	85	3	due	due	ADJ
cet-3942	85	4	to	to	ADP
cet-3942	85	5	the	the	DET
cet-3942	85	6	high	high	ADJ
cet-3942	85	7	similarity	similarity	NOUN
cet-3942	85	8	among	among	ADP
cet-3942	85	9	the	the	DET
cet-3942	85	10	neighbours	neighbour	NOUN
cet-3942	85	11	for	for	ADP
cet-3942	85	12	these	these	DET
cet-3942	85	13	classes	class	NOUN
cet-3942	85	14	.	.	PUNCT
cet-3942	86	1	additionally	additionally	ADV
cet-3942	86	2	,	,	PUNCT
cet-3942	86	3	the	the	DET
cet-3942	86	4	data	datum	NOUN
cet-3942	86	5	for	for	ADP
cet-3942	86	6	the	the	DET
cet-3942	86	7	experiments	experiment	NOUN
cet-3942	86	8	have	have	AUX
cet-3942	86	9	been	be	AUX
cet-3942	86	10	collected	collect	VERB
cet-3942	86	11	from	from	ADP
cet-3942	86	12	48	48	NUM
cet-3942	86	13	patients	patient	NOUN
cet-3942	86	14	suffering	suffer	VERB
cet-3942	86	15	from	from	ADP
cet-3942	86	16	different	different	ADJ
cet-3942	86	17	kinds	kind	NOUN
cet-3942	86	18	of	of	ADP
cet-3942	86	19	leukaemia	leukaemia	NOUN
cet-3942	86	20	at	at	ADP
cet-3942	86	21	various	various	ADJ
cet-3942	86	22	stages	stage	NOUN
cet-3942	86	23	of	of	ADP
cet-3942	86	24	development	development	NOUN
cet-3942	86	25	of	of	ADP
cet-3942	86	26	the	the	DET
cet-3942	86	27	illness	illness	NOUN
cet-3942	86	28	are	be	AUX
cet-3942	86	29	tested	test	VERB
cet-3942	86	30	in	in	ADP
cet-3942	86	31	this	this	DET
cet-3942	86	32	paper	paper	NOUN
cet-3942	86	33	for	for	ADP
cet-3942	86	34	validating	validate	VERB
cet-3942	86	35	the	the	DET
cet-3942	86	36	efficiency	efficiency	NOUN
cet-3942	86	37	of	of	ADP
cet-3942	86	38	cnn	cnn	PROPN
cet-3942	86	39	.	.	PUNCT
cet-3942	87	1	since	since	SCONJ
cet-3942	87	2	the	the	DET
cet-3942	87	3	data	datum	NOUN
cet-3942	87	4	used	use	VERB
cet-3942	87	5	in	in	ADP
cet-3942	87	6	classification	classification	NOUN
cet-3942	87	7	have	have	AUX
cet-3942	87	8	been	be	AUX
cet-3942	87	9	gathered	gather	VERB
cet-3942	87	10	in	in	ADP
cet-3942	87	11	the	the	DET
cet-3942	87	12	hospital	hospital	NOUN
cet-3942	87	13	within	within	ADP
cet-3942	87	14	a	a	DET
cet-3942	87	15	few	few	ADJ
cet-3942	87	16	years	year	NOUN
cet-3942	87	17	,	,	PUNCT
cet-3942	87	18	and	and	CCONJ
cet-3942	87	19	their	their	PRON
cet-3942	87	20	image	image	NOUN
cet-3942	87	21	quality	quality	NOUN
cet-3942	87	22	was	be	AUX
cet-3942	87	23	also	also	ADV
cet-3942	87	24	very	very	ADV
cet-3942	87	25	different	different	ADJ
cet-3942	87	26	which	which	PRON
cet-3942	87	27	result	result	VERB
cet-3942	87	28	in	in	ADP
cet-3942	87	29	a	a	DET
cet-3942	87	30	great	great	ADJ
cet-3942	87	31	variation	variation	NOUN
cet-3942	87	32	among	among	ADP
cet-3942	87	33	the	the	DET
cet-3942	87	34	cells	cell	NOUN
cet-3942	87	35	belonging	belong	VERB
cet-3942	87	36	to	to	ADP
cet-3942	87	37	the	the	DET
cet-3942	87	38	same	same	ADJ
cet-3942	87	39	type	type	NOUN
cet-3942	87	40	and	and	CCONJ
cet-3942	87	41	make	make	VERB
cet-3942	87	42	the	the	DET
cet-3942	87	43	recognition	recognition	NOUN
cet-3942	87	44	problem	problem	VERB
cet-3942	87	45	extremely	extremely	ADV
cet-3942	87	46	difficult	difficult	ADJ
cet-3942	87	47	.	.	PUNCT
cet-3942	88	1	however	however	ADV
cet-3942	88	2	,	,	PUNCT
cet-3942	88	3	the	the	DET
cet-3942	88	4	important	important	ADJ
cet-3942	88	5	advantage	advantage	NOUN
cet-3942	88	6	of	of	ADP
cet-3942	88	7	the	the	DET
cet-3942	88	8	application	application	NOUN
cet-3942	88	9	of	of	ADP
cet-3942	88	10	our	our	PRON
cet-3942	88	11	algorithm	algorithm	NOUN
cet-3942	88	12	is	be	AUX
cet-3942	88	13	the	the	DET
cet-3942	88	14	simultaneous	simultaneous	ADJ
cet-3942	88	15	determination	determination	NOUN
cet-3942	88	16	of	of	ADP
cet-3942	88	17	the	the	DET
cet-3942	88	18	image	image	NOUN
cet-3942	88	19	quantity	quantity	NOUN
cet-3942	88	20	and	and	CCONJ
cet-3942	88	21	the	the	DET
cet-3942	88	22	classification	classification	NOUN
cet-3942	88	23	of	of	ADP
cet-3942	88	24	cell	cell	NOUN
cet-3942	88	25	type	type	NOUN
cet-3942	88	26	since	since	SCONJ
cet-3942	88	27	our	our	PRON
cet-3942	88	28	method	method	NOUN
cet-3942	88	29	adopt	adopt	VERB
cet-3942	88	30	the	the	DET
cet-3942	88	31	rational	rational	ADJ
cet-3942	88	32	process	process	NOUN
cet-3942	88	33	step	step	NOUN
cet-3942	88	34	for	for	ADP
cet-3942	88	35	selection	selection	NOUN
cet-3942	88	36	the	the	DET
cet-3942	88	37	representative	representative	NOUN
cet-3942	88	38	the	the	DET
cet-3942	88	39	feature	feature	NOUN
cet-3942	88	40	set	set	VERB
cet-3942	88	41	.	.	PUNCT
cet-3942	89	1	it	it	PRON
cet-3942	89	2	is	be	AUX
cet-3942	89	3	interesting	interesting	ADJ
cet-3942	89	4	to	to	PART
cet-3942	89	5	compare	compare	VERB
cet-3942	89	6	the	the	DET
cet-3942	89	7	number	number	NOUN
cet-3942	89	8	of	of	ADP
cet-3942	89	9	features	feature	NOUN
cet-3942	89	10	selected	select	VERB
cet-3942	89	11	by	by	ADP
cet-3942	89	12	the	the	DET
cet-3942	89	13	cnn	cnn	PROPN
cet-3942	89	14	and	and	CCONJ
cet-3942	89	15	other	other	ADJ
cet-3942	89	16	algorithm	algorithm	NOUN
cet-3942	89	17	such	such	ADJ
cet-3942	89	18	as	as	ADP
cet-3942	89	19	svm	svm	PROPN
cet-3942	89	20	(	(	PUNCT
cet-3942	89	21	osowski	osowski	ADJ
cet-3942	89	22	,	,	PUNCT
cet-3942	89	23	2007	2007	NUM
cet-3942	89	24	;	;	PUNCT
cet-3942	89	25	siroic	siroic	NUM
cet-3942	89	26	,	,	PUNCT
cet-3942	89	27	2007	2007	NUM
cet-3942	89	28	)	)	PUNCT
cet-3942	89	29	for	for	ADP
cet-3942	89	30	the	the	DET
cet-3942	89	31	recognition	recognition	NOUN
cet-3942	89	32	between	between	ADP
cet-3942	89	33	different	different	ADJ
cet-3942	89	34	classes	class	NOUN
cet-3942	89	35	of	of	ADP
cet-3942	89	36	cells	cell	NOUN
cet-3942	89	37	.	.	PUNCT
cet-3942	90	1	table	table	NOUN
cet-3942	90	2	3	3	NUM
cet-3942	90	3	and	and	CCONJ
cet-3942	90	4	table	table	NOUN
cet-3942	90	5	4	4	NUM
cet-3942	90	6	present	present	VERB
cet-3942	90	7	the	the	DET
cet-3942	90	8	numbers	number	NOUN
cet-3942	90	9	and	and	CCONJ
cet-3942	90	10	the	the	DET
cet-3942	90	11	precision	precision	NOUN
cet-3942	90	12	rate	rate	NOUN
cet-3942	90	13	of	of	ADP
cet-3942	90	14	svm	svm	PROPN
cet-3942	90	15	and	and	CCONJ
cet-3942	90	16	cnn	cnn	PROPN
cet-3942	90	17	.	.	PUNCT
cet-3942	91	1	according	accord	VERB
cet-3942	91	2	to	to	ADP
cet-3942	91	3	the	the	DET
cet-3942	91	4	above	above	ADJ
cet-3942	91	5	table	table	NOUN
cet-3942	91	6	4	4	NUM
cet-3942	91	7	and	and	CCONJ
cet-3942	91	8	table	table	NOUN
cet-3942	91	9	4	4	NUM
cet-3942	91	10	,	,	PUNCT
cet-3942	91	11	the	the	DET
cet-3942	91	12	overall	overall	ADJ
cet-3942	91	13	precision	precision	NOUN
cet-3942	91	14	of	of	ADP
cet-3942	91	15	cnn	cnn	PROPN
cet-3942	91	16	is	be	AUX
cet-3942	91	17	superior	superior	ADJ
cet-3942	91	18	to	to	ADP
cet-3942	91	19	those	those	PRON
cet-3942	91	20	of	of	ADP
cet-3942	91	21	svm	svm	PROPN
cet-3942	91	22	.	.	PROPN
cet-3942	91	23	such	such	ADJ
cet-3942	91	24	as	as	ADP
cet-3942	91	25	,	,	PUNCT
cet-3942	91	26	for	for	ADP
cet-3942	91	27	the	the	DET
cet-3942	91	28	first	first	ADJ
cet-3942	91	29	type	type	NOUN
cet-3942	91	30	,	,	PUNCT
cet-3942	91	31	the	the	DET
cet-3942	91	32	number	number	NOUN
cet-3942	91	33	of	of	ADP
cet-3942	91	34	blood	blood	NOUN
cet-3942	91	35	cell	cell	NOUN
cet-3942	91	36	is	be	AUX
cet-3942	91	37	21	21	NUM
cet-3942	91	38	,	,	PUNCT
cet-3942	91	39	the	the	DET
cet-3942	91	40	precision	precision	NOUN
cet-3942	91	41	of	of	ADP
cet-3942	91	42	svm	svm	PROPN
cet-3942	91	43	is	be	AUX
cet-3942	91	44	466	466	NUM
cet-3942	91	45	80.95	80.95	NUM
cet-3942	91	46	while	while	SCONJ
cet-3942	91	47	that	that	PRON
cet-3942	91	48	of	of	ADP
cet-3942	91	49	cnn	cnn	PROPN
cet-3942	91	50	is	be	AUX
cet-3942	91	51	95.24	95.24	NUM
cet-3942	91	52	which	which	PRON
cet-3942	91	53	are	be	AUX
cet-3942	91	54	far	far	ADV
cet-3942	91	55	higher	high	ADJ
cet-3942	91	56	than	than	ADP
cet-3942	91	57	svm	svm	PROPN
cet-3942	91	58	.	.	PUNCT
cet-3942	92	1	another	another	DET
cet-3942	92	2	example	example	NOUN
cet-3942	92	3	is	be	AUX
cet-3942	92	4	the	the	DET
cet-3942	92	5	7th	7th	ADJ
cet-3942	92	6	type	type	NOUN
cet-3942	92	7	of	of	ADP
cet-3942	92	8	blood	blood	NOUN
cet-3942	92	9	cell	cell	NOUN
cet-3942	92	10	which	which	DET
cet-3942	92	11	precision	precision	NOUN
cet-3942	92	12	rate	rate	NOUN
cet-3942	92	13	is	be	AUX
cet-3942	92	14	the	the	DET
cet-3942	92	15	almost	almost	ADV
cet-3942	92	16	lowest	low	ADJ
cet-3942	92	17	for	for	ADP
cet-3942	92	18	cnn	cnn	PROPN
cet-3942	92	19	as	as	ADV
cet-3942	92	20	well	well	ADV
cet-3942	92	21	as	as	ADP
cet-3942	92	22	svm	svm	ADJ
cet-3942	92	23	,	,	PUNCT
cet-3942	92	24	the	the	DET
cet-3942	92	25	precision	precision	NOUN
cet-3942	92	26	rate	rate	NOUN
cet-3942	92	27	of	of	ADP
cet-3942	92	28	cnn	cnn	PROPN
cet-3942	92	29	is	be	AUX
cet-3942	92	30	86.67	86.67	NUM
cet-3942	92	31	%	%	NOUN
cet-3942	92	32	while	while	SCONJ
cet-3942	92	33	that	that	PRON
cet-3942	92	34	of	of	ADP
cet-3942	92	35	svm	svm	PROPN
cet-3942	92	36	is	be	AUX
cet-3942	92	37	80.00	80.00	NUM
cet-3942	92	38	%	%	NOUN
cet-3942	92	39	which	which	PRON
cet-3942	92	40	is	be	AUX
cet-3942	92	41	less	less	ADJ
cet-3942	92	42	6.67	6.67	NUM
cet-3942	92	43	%	%	NOUN
cet-3942	92	44	than	than	ADP
cet-3942	92	45	cnn	cnn	PROPN
cet-3942	92	46	.	.	PUNCT
cet-3942	93	1	furthermore	furthermore	ADV
cet-3942	93	2	,	,	PUNCT
cet-3942	93	3	for	for	ADP
cet-3942	93	4	the	the	DET
cet-3942	93	5	other	other	ADJ
cet-3942	93	6	11	11	NUM
cet-3942	93	7	type	type	NOUN
cet-3942	93	8	of	of	ADP
cet-3942	93	9	blood	blood	NOUN
cet-3942	93	10	cell	cell	NOUN
cet-3942	93	11	the	the	DET
cet-3942	93	12	above	above	ADJ
cet-3942	93	13	case	case	NOUN
cet-3942	93	14	is	be	AUX
cet-3942	93	15	also	also	ADV
cet-3942	93	16	true	true	ADJ
cet-3942	93	17	which	which	PRON
cet-3942	93	18	can	can	AUX
cet-3942	93	19	be	be	AUX
cet-3942	93	20	explained	explain	VERB
cet-3942	93	21	by	by	ADP
cet-3942	93	22	the	the	DET
cet-3942	93	23	last	last	ADJ
cet-3942	93	24	row	row	NOUN
cet-3942	93	25	of	of	ADP
cet-3942	93	26	table	table	NOUN
cet-3942	93	27	3	3	NUM
cet-3942	93	28	and	and	CCONJ
cet-3942	93	29	table	table	NOUN
cet-3942	93	30	4	4	NUM
cet-3942	93	31	.	.	PUNCT
cet-3942	94	1	the	the	DET
cet-3942	94	2	mean	mean	ADJ
cet-3942	94	3	precision	precision	NOUN
cet-3942	94	4	rate	rate	NOUN
cet-3942	94	5	of	of	ADP
cet-3942	94	6	svm	svm	PROPN
cet-3942	94	7	is	be	AUX
cet-3942	94	8	84.98	84.98	NUM
cet-3942	94	9	%	%	NOUN
cet-3942	94	10	while	while	SCONJ
cet-3942	94	11	that	that	PRON
cet-3942	94	12	of	of	ADP
cet-3942	94	13	cnn	cnn	PROPN
cet-3942	94	14	is	be	AUX
cet-3942	94	15	94.47	94.47	NUM
cet-3942	94	16	%	%	NOUN
cet-3942	94	17	.	.	PUNCT
cet-3942	95	1	table	table	NOUN
cet-3942	95	2	3	3	NUM
cet-3942	95	3	:	:	PUNCT
cet-3942	95	4	the	the	DET
cet-3942	95	5	experiment	experiment	NOUN
cet-3942	95	6	result	result	NOUN
cet-3942	95	7	of	of	ADP
cet-3942	95	8	svm	svm	ADJ
cet-3942	95	9	cell	cell	NOUN
cet-3942	95	10	type	type	NOUN
cet-3942	95	11	(	(	PUNCT
cet-3942	95	12	number	number	NOUN
cet-3942	95	13	of	of	ADP
cet-3942	95	14	cell	cell	NOUN
cet-3942	95	15	)	)	PUNCT
cet-3942	95	16	recogniz	recogniz	NOUN
cet-3942	95	17	ed	ed	PROPN
cet-3942	95	18	1	1	NUM
cet-3942	95	19	recogniz	recogniz	NOUN
cet-3942	95	20	ed	ed	PROPN
cet-3942	95	21	2	2	NUM
cet-3942	95	22	recogniz	recogniz	NOUN
cet-3942	95	23	ed	ed	PROPN
cet-3942	95	24	3	3	NUM
cet-3942	95	25	recogniz	recogniz	NOUN
cet-3942	95	26	ed	ed	PROPN
cet-3942	95	27	4	4	NUM
cet-3942	95	28	recogniz	recogniz	NOUN
cet-3942	95	29	ed	ed	PROPN
cet-3942	95	30	5	5	NUM
cet-3942	95	31	recogniz	recogniz	NOUN
cet-3942	95	32	ed	ed	NOUN
cet-3942	95	33	6	6	NUM
cet-3942	95	34	precision	precision	NOUN
cet-3942	95	35	rate	rate	NOUN
cet-3942	95	36	1(21	1(21	NUM
cet-3942	95	37	)	)	PUNCT
cet-3942	95	38	17	17	NUM
cet-3942	95	39	0	0	NUM
cet-3942	95	40	1	1	NUM
cet-3942	95	41	0	0	NUM
cet-3942	95	42	2	2	NUM
cet-3942	95	43	1	1	NUM
cet-3942	95	44	80.95	80.95	NUM
cet-3942	95	45	%	%	NOUN
cet-3942	95	46	2(23	2(23	NOUN
cet-3942	95	47	)	)	PUNCT
cet-3942	95	48	20	20	NUM
cet-3942	95	49	0	0	NUM
cet-3942	95	50	1	1	NUM
cet-3942	95	51	0	0	NUM
cet-3942	95	52	1	1	NUM
cet-3942	95	53	1	1	NUM
cet-3942	95	54	86.96	86.96	NUM
cet-3942	95	55	%	%	NOUN
cet-3942	95	56	3(14	3(14	NOUN
cet-3942	95	57	)	)	PUNCT
cet-3942	96	1	12	12	NUM
cet-3942	96	2	0	0	NUM
cet-3942	96	3	2	2	NUM
cet-3942	96	4	0	0	NUM
cet-3942	96	5	0	0	NUM
cet-3942	96	6	0	0	NUM
cet-3942	96	7	85.71	85.71	NUM
cet-3942	96	8	%	%	NOUN
cet-3942	96	9	4(27	4(27	NUM
cet-3942	96	10	)	)	PUNCT
cet-3942	96	11	24	24	NUM
cet-3942	96	12	1	1	NUM
cet-3942	96	13	0	0	NUM
cet-3942	96	14	1	1	NUM
cet-3942	96	15	1	1	NUM
cet-3942	96	16	0	0	NUM
cet-3942	96	17	88.89	88.89	NUM
cet-3942	96	18	%	%	NOUN
cet-3942	96	19	5(18	5(18	NUM
cet-3942	96	20	)	)	PUNCT
cet-3942	96	21	15	15	NUM
cet-3942	96	22	0	0	NUM
cet-3942	96	23	1	1	NUM
cet-3942	96	24	0	0	NUM
cet-3942	96	25	1	1	NUM
cet-3942	96	26	1	1	NUM
cet-3942	96	27	83.33	83.33	NUM
cet-3942	96	28	%	%	NOUN
cet-3942	96	29	6(17	6(17	NUM
cet-3942	96	30	)	)	PUNCT
cet-3942	96	31	13	13	NUM
cet-3942	96	32	0	0	NUM
cet-3942	96	33	0	0	NUM
cet-3942	96	34	2	2	NUM
cet-3942	96	35	1	1	NUM
cet-3942	96	36	1	1	NUM
cet-3942	96	37	76.47	76.47	NUM
cet-3942	96	38	%	%	NOUN
cet-3942	96	39	7(15	7(15	NUM
cet-3942	96	40	)	)	PUNCT
cet-3942	96	41	12	12	NUM
cet-3942	96	42	1	1	NUM
cet-3942	96	43	1	1	NUM
cet-3942	96	44	0	0	NUM
cet-3942	96	45	1	1	NUM
cet-3942	96	46	0	0	NUM
cet-3942	96	47	80.00	80.00	NUM
cet-3942	96	48	%	%	NOUN
cet-3942	96	49	8(28	8(28	NUM
cet-3942	96	50	)	)	PUNCT
cet-3942	96	51	24	24	NUM
cet-3942	96	52	1	1	NUM
cet-3942	96	53	0	0	NUM
cet-3942	96	54	1	1	NUM
cet-3942	96	55	1	1	NUM
cet-3942	96	56	1	1	NUM
cet-3942	96	57	85.71	85.71	NUM
cet-3942	96	58	%	%	NOUN
cet-3942	96	59	9(26	9(26	NUM
cet-3942	96	60	)	)	PUNCT
cet-3942	96	61	22	22	NUM
cet-3942	96	62	0	0	NUM
cet-3942	96	63	1	1	NUM
cet-3942	96	64	1	1	NUM
cet-3942	96	65	1	1	NUM
cet-3942	96	66	1	1	NUM
cet-3942	96	67	84.61	84.61	NUM
cet-3942	96	68	%	%	NOUN
cet-3942	96	69	10(25	10(25	NUM
cet-3942	96	70	)	)	PUNCT
cet-3942	96	71	23	23	NUM
cet-3942	96	72	0	0	NUM
cet-3942	96	73	1	1	NUM
cet-3942	96	74	0	0	NUM
cet-3942	96	75	1	1	NUM
cet-3942	96	76	0	0	NUM
cet-3942	96	77	92.00	92.00	NUM
cet-3942	96	78	%	%	NOUN
cet-3942	96	79	11(19	11(19	NUM
cet-3942	96	80	)	)	PUNCT
cet-3942	96	81	17	17	NUM
cet-3942	96	82	1	1	NUM
cet-3942	96	83	0	0	NUM
cet-3942	96	84	0	0	NUM
cet-3942	96	85	1	1	NUM
cet-3942	96	86	0	0	NUM
cet-3942	96	87	89.47	89.47	NUM
cet-3942	96	88	%	%	NOUN
cet-3942	96	89	12(20	12(20	NUM
cet-3942	96	90	)	)	PUNCT
cet-3942	96	91	16	16	NUM
cet-3942	96	92	0	0	NUM
cet-3942	96	93	1	1	NUM
cet-3942	96	94	1	1	NUM
cet-3942	96	95	1	1	NUM
cet-3942	96	96	1	1	NUM
cet-3942	96	97	80.00	80.00	NUM
cet-3942	96	98	%	%	NOUN
cet-3942	96	99	total(253	total(253	NOUN
cet-3942	96	100	)	)	PUNCT
cet-3942	96	101	215	215	NUM
cet-3942	96	102	4	4	NUM
cet-3942	96	103	9	9	NUM
cet-3942	96	104	6	6	NUM
cet-3942	96	105	12	12	NUM
cet-3942	96	106	7	7	NUM
cet-3942	96	107	84.98	84.98	NUM
cet-3942	96	108	%	%	NOUN
cet-3942	96	109	table	table	NOUN
cet-3942	96	110	4	4	NUM
cet-3942	96	111	:	:	PUNCT
cet-3942	96	112	the	the	DET
cet-3942	96	113	experiment	experiment	NOUN
cet-3942	96	114	result	result	NOUN
cet-3942	96	115	of	of	ADP
cet-3942	96	116	cnn	cnn	PROPN
cet-3942	96	117	cell	cell	NOUN
cet-3942	96	118	type(number	type(number	PROPN
cet-3942	96	119	of	of	ADP
cet-3942	96	120	cell	cell	NOUN
cet-3942	96	121	)	)	PUNCT
cet-3942	96	122	recogniz	recogniz	NOUN
cet-3942	96	123	ed	ed	PROPN
cet-3942	96	124	1	1	NUM
cet-3942	96	125	recogniz	recogniz	NOUN
cet-3942	96	126	ed	ed	PROPN
cet-3942	96	127	2	2	NUM
cet-3942	96	128	recogniz	recogniz	NOUN
cet-3942	96	129	ed	ed	PROPN
cet-3942	96	130	3	3	NUM
cet-3942	96	131	recogniz	recogniz	NOUN
cet-3942	96	132	ed	ed	PROPN
cet-3942	96	133	4	4	NUM
cet-3942	96	134	recogniz	recogniz	NOUN
cet-3942	96	135	ed	ed	PROPN
cet-3942	96	136	5	5	NUM
cet-3942	96	137	recogniz	recogniz	NOUN
cet-3942	96	138	ed	ed	NOUN
cet-3942	96	139	6	6	NUM
cet-3942	96	140	precision	precision	NOUN
cet-3942	96	141	rate	rate	NOUN
cet-3942	96	142	1(21	1(21	NUM
cet-3942	96	143	)	)	PUNCT
cet-3942	97	1	20	20	NUM
cet-3942	97	2	0	0	NUM
cet-3942	97	3	1	1	NUM
cet-3942	97	4	0	0	NUM
cet-3942	97	5	0	0	NUM
cet-3942	97	6	0	0	NUM
cet-3942	97	7	95.24	95.24	NUM
cet-3942	97	8	%	%	NOUN
cet-3942	97	9	2(23	2(23	NOUN
cet-3942	97	10	)	)	PUNCT
cet-3942	97	11	22	22	NUM
cet-3942	97	12	0	0	NUM
cet-3942	97	13	0	0	NUM
cet-3942	97	14	0	0	NUM
cet-3942	97	15	0	0	NUM
cet-3942	97	16	1	1	NUM
cet-3942	97	17	95.65	95.65	NUM
cet-3942	97	18	%	%	NOUN
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cet-3942	97	20	)	)	PUNCT
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cet-3942	97	26	0	0	NUM
cet-3942	97	27	100.00	100.00	NUM
cet-3942	97	28	%	%	NOUN
cet-3942	97	29	4(27	4(27	NUM
cet-3942	97	30	)	)	PUNCT
cet-3942	97	31	26	26	NUM
cet-3942	97	32	1	1	NUM
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cet-3942	97	34	1	1	NUM
cet-3942	97	35	1	1	NUM
cet-3942	97	36	0	0	NUM
cet-3942	97	37	96.30	96.30	NUM
cet-3942	97	38	%	%	NOUN
cet-3942	97	39	5(18	5(18	NUM
cet-3942	97	40	)	)	PUNCT
cet-3942	97	41	17	17	NUM
cet-3942	97	42	0	0	NUM
cet-3942	97	43	0	0	NUM
cet-3942	97	44	0	0	NUM
cet-3942	97	45	1	1	NUM
cet-3942	97	46	0	0	NUM
cet-3942	97	47	94.44	94.44	NUM
cet-3942	97	48	%	%	NOUN
cet-3942	97	49	6(17	6(17	NUM
cet-3942	97	50	)	)	PUNCT
cet-3942	97	51	15	15	NUM
cet-3942	97	52	0	0	NUM
cet-3942	97	53	0	0	NUM
cet-3942	97	54	0	0	NUM
cet-3942	97	55	1	1	NUM
cet-3942	97	56	1	1	NUM
cet-3942	97	57	88.24	88.24	NUM
cet-3942	97	58	%	%	NOUN
cet-3942	97	59	7(15	7(15	NUM
cet-3942	97	60	)	)	PUNCT
cet-3942	97	61	13	13	NUM
cet-3942	97	62	0	0	NUM
cet-3942	97	63	1	1	NUM
cet-3942	97	64	0	0	NUM
cet-3942	97	65	1	1	NUM
cet-3942	97	66	0	0	NUM
cet-3942	97	67	86.67	86.67	NUM
cet-3942	97	68	%	%	NOUN
cet-3942	97	69	8(28	8(28	NUM
cet-3942	97	70	)	)	PUNCT
cet-3942	97	71	26	26	NUM
cet-3942	97	72	1	1	NUM
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cet-3942	97	75	0	0	NUM
cet-3942	97	76	0	0	NUM
cet-3942	97	77	92.86	92.86	NUM
cet-3942	97	78	%	%	NOUN
cet-3942	97	79	9(26	9(26	NUM
cet-3942	97	80	)	)	PUNCT
cet-3942	97	81	25	25	NUM
cet-3942	97	82	0	0	NUM
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cet-3942	97	84	1	1	NUM
cet-3942	97	85	0	0	NUM
cet-3942	97	86	0	0	NUM
cet-3942	97	87	96.15	96.15	NUM
cet-3942	97	88	%	%	NOUN
cet-3942	97	89	10(25	10(25	NUM
cet-3942	97	90	)	)	PUNCT
cet-3942	97	91	23	23	NUM
cet-3942	97	92	0	0	NUM
cet-3942	97	93	1	1	NUM
cet-3942	97	94	0	0	NUM
cet-3942	97	95	1	1	NUM
cet-3942	97	96	0	0	NUM
cet-3942	97	97	92.00	92.00	NUM
cet-3942	97	98	%	%	NOUN
cet-3942	97	99	11(19	11(19	NUM
cet-3942	97	100	)	)	PUNCT
cet-3942	97	101	19	19	NUM
cet-3942	97	102	0	0	NUM
cet-3942	97	103	0	0	NUM
cet-3942	97	104	0	0	NUM
cet-3942	97	105	0	0	NUM
cet-3942	97	106	0	0	NUM
cet-3942	97	107	100.00	100.00	NUM
cet-3942	97	108	%	%	NOUN
cet-3942	97	109	12(20	12(20	NUM
cet-3942	97	110	)	)	PUNCT
cet-3942	97	111	19	19	NUM
cet-3942	97	112	0	0	NUM
cet-3942	97	113	1	1	NUM
cet-3942	97	114	10	10	NUM
cet-3942	97	115	0	0	NUM
cet-3942	97	116	0	0	NUM
cet-3942	97	117	95.00	95.00	NUM
cet-3942	97	118	%	%	NOUN
cet-3942	97	119	total(253	total(253	NOUN
cet-3942	97	120	)	)	PUNCT
cet-3942	97	121	239	239	NUM
cet-3942	97	122	2	2	NUM
cet-3942	97	123	6	6	NUM
cet-3942	97	124	13	13	NUM
cet-3942	97	125	5	5	NUM
cet-3942	97	126	2	2	NUM
cet-3942	97	127	94.47	94.47	NUM
cet-3942	97	128	%	%	NOUN
cet-3942	97	129	467	467	NUM
cet-3942	97	130	4	4	NUM
cet-3942	97	131	.	.	PUNCT
cet-3942	97	132	conclusion	conclusion	VERB
cet-3942	97	133	the	the	DET
cet-3942	97	134	automatic	automatic	ADJ
cet-3942	97	135	classification	classification	NOUN
cet-3942	97	136	of	of	ADP
cet-3942	97	137	blood	blood	NOUN
cet-3942	97	138	cell	cell	NOUN
cet-3942	97	139	image	image	NOUN
cet-3942	97	140	is	be	AUX
cet-3942	97	141	very	very	ADV
cet-3942	97	142	important	important	ADJ
cet-3942	97	143	and	and	CCONJ
cet-3942	97	144	is	be	AUX
cet-3942	97	145	vital	vital	ADJ
cet-3942	97	146	for	for	ADP
cet-3942	97	147	blood	blood	NOUN
cet-3942	97	148	routine	routine	ADJ
cet-3942	97	149	examination	examination	NOUN
cet-3942	97	150	.	.	PUNCT
cet-3942	98	1	however	however	ADV
cet-3942	98	2	,	,	PUNCT
cet-3942	98	3	the	the	DET
cet-3942	98	4	large	large	ADJ
cet-3942	98	5	change	change	NOUN
cet-3942	98	6	of	of	ADP
cet-3942	98	7	blood	blood	NOUN
cet-3942	98	8	cell	cell	NOUN
cet-3942	98	9	concentration	concentration	NOUN
cet-3942	98	10	and	and	CCONJ
cet-3942	98	11	the	the	DET
cet-3942	98	12	shape	shape	NOUN
cet-3942	98	13	and	and	CCONJ
cet-3942	98	14	the	the	DET
cet-3942	98	15	variety	variety	NOUN
cet-3942	98	16	of	of	ADP
cet-3942	98	17	blood	blood	NOUN
cet-3942	98	18	cell	cell	NOUN
cet-3942	98	19	diseases	disease	NOUN
cet-3942	98	20	are	be	AUX
cet-3942	98	21	very	very	ADV
cet-3942	98	22	great	great	ADJ
cet-3942	98	23	,	,	PUNCT
cet-3942	98	24	so	so	CCONJ
cet-3942	98	25	the	the	DET
cet-3942	98	26	current	current	ADJ
cet-3942	98	27	algorithms	algorithm	NOUN
cet-3942	98	28	for	for	ADP
cet-3942	98	29	classification	classification	NOUN
cet-3942	98	30	of	of	ADP
cet-3942	98	31	blood	blood	NOUN
cet-3942	98	32	cell	cell	NOUN
cet-3942	98	33	image	image	NOUN
cet-3942	98	34	can	can	AUX
cet-3942	98	35	not	not	PART
cet-3942	98	36	achieve	achieve	VERB
cet-3942	98	37	the	the	DET
cet-3942	98	38	effect	effect	NOUN
cet-3942	98	39	of	of	ADP
cet-3942	98	40	practical	practical	ADJ
cet-3942	98	41	use	use	NOUN
cet-3942	98	42	.	.	PUNCT
cet-3942	99	1	for	for	ADP
cet-3942	99	2	improving	improve	VERB
cet-3942	99	3	the	the	DET
cet-3942	99	4	recognizing	recognize	VERB
cet-3942	99	5	rate	rate	NOUN
cet-3942	99	6	we	we	PRON
cet-3942	99	7	proposed	propose	VERB
cet-3942	99	8	the	the	DET
cet-3942	99	9	new	new	ADJ
cet-3942	99	10	methods	method	NOUN
cet-3942	99	11	of	of	ADP
cet-3942	99	12	recognizing	recognize	VERB
cet-3942	99	13	the	the	DET
cet-3942	99	14	type	type	NOUN
cet-3942	99	15	of	of	ADP
cet-3942	99	16	blood	blood	NOUN
cet-3942	99	17	cell	cell	NOUN
cet-3942	99	18	which	which	PRON
cet-3942	99	19	used	use	VERB
cet-3942	99	20	the	the	DET
cet-3942	99	21	combination	combination	NOUN
cet-3942	99	22	of	of	ADP
cet-3942	99	23	sa	sa	NOUN
cet-3942	99	24	as	as	ADP
cet-3942	99	25	feature	feature	NOUN
cet-3942	99	26	selection	selection	NOUN
cet-3942	99	27	and	and	CCONJ
cet-3942	99	28	cnn	cnn	PROPN
cet-3942	99	29	as	as	ADP
cet-3942	99	30	classifier	classifier	NOUN
cet-3942	99	31	.	.	PUNCT
cet-3942	100	1	since	since	SCONJ
cet-3942	100	2	sa	sa	PROPN
cet-3942	100	3	can	can	AUX
cet-3942	100	4	obtain	obtain	VERB
cet-3942	100	5	the	the	DET
cet-3942	100	6	better	well	ADJ
cet-3942	100	7	features	feature	NOUN
cet-3942	100	8	which	which	PRON
cet-3942	100	9	exactly	exactly	ADV
cet-3942	100	10	represent	represent	VERB
cet-3942	100	11	the	the	DET
cet-3942	100	12	blood	blood	NOUN
cet-3942	100	13	cell	cell	NOUN
cet-3942	100	14	image	image	NOUN
cet-3942	100	15	and	and	CCONJ
cet-3942	100	16	cnn	cnn	PROPN
cet-3942	100	17	has	have	VERB
cet-3942	100	18	strong	strong	ADJ
cet-3942	100	19	fault	fault	NOUN
cet-3942	100	20	tolerance	tolerance	NOUN
cet-3942	100	21	and	and	CCONJ
cet-3942	100	22	stability	stability	NOUN
cet-3942	100	23	,	,	PUNCT
cet-3942	100	24	so	so	CCONJ
cet-3942	100	25	the	the	DET
cet-3942	100	26	new	new	ADJ
cet-3942	100	27	algorithm	algorithm	NOUN
cet-3942	100	28	proposed	propose	VERB
cet-3942	100	29	in	in	ADP
cet-3942	100	30	this	this	DET
cet-3942	100	31	paper	paper	NOUN
cet-3942	100	32	has	have	VERB
cet-3942	100	33	the	the	DET
cet-3942	100	34	better	well	ADJ
cet-3942	100	35	classification	classification	NOUN
cet-3942	100	36	ability	ability	NOUN
cet-3942	100	37	,	,	PUNCT
cet-3942	100	38	comparative	comparative	ADJ
cet-3942	100	39	study	study	NOUN
cet-3942	100	40	on	on	ADP
cet-3942	100	41	the	the	DET
cet-3942	100	42	data	datum	NOUN
cet-3942	100	43	set	set	VERB
cet-3942	100	44	of	of	ADP
cet-3942	100	45	hep-2	hep-2	PUNCT
cet-3942	100	46	set	set	NOUN
cet-3942	100	47	of	of	ADP
cet-3942	100	48	blood	blood	NOUN
cet-3942	100	49	cell	cell	NOUN
cet-3942	100	50	image	image	NOUN
cet-3942	100	51	which	which	PRON
cet-3942	100	52	consist	consist	VERB
cet-3942	100	53	of	of	ADP
cet-3942	100	54	721	721	NUM
cet-3942	100	55	images	image	NOUN
cet-3942	100	56	which	which	PRON
cet-3942	100	57	belongs	belong	VERB
cet-3942	100	58	to	to	ADP
cet-3942	100	59	twelve	twelve	NUM
cet-3942	100	60	types	type	NOUN
cet-3942	100	61	are	be	AUX
cet-3942	100	62	performed	perform	VERB
cet-3942	100	63	on	on	ADP
cet-3942	100	64	cnn	cnn	PROPN
cet-3942	100	65	and	and	CCONJ
cet-3942	100	66	svm	svm	ADJ
cet-3942	100	67	and	and	CCONJ
cet-3942	100	68	experiment	experiment	NOUN
cet-3942	100	69	result	result	NOUN
cet-3942	100	70	shows	show	VERB
cet-3942	100	71	that	that	SCONJ
cet-3942	100	72	our	our	PRON
cet-3942	100	73	proposed	propose	VERB
cet-3942	100	74	method	method	NOUN
cet-3942	100	75	is	be	AUX
cet-3942	100	76	better	well	ADJ
cet-3942	100	77	than	than	ADP
cet-3942	100	78	that	that	PRON
cet-3942	100	79	of	of	ADP
cet-3942	100	80	svm	svm	PROPN
cet-3942	100	81	,	,	PUNCT
cet-3942	100	82	so	so	SCONJ
cet-3942	100	83	our	our	PRON
cet-3942	100	84	method	method	NOUN
cet-3942	100	85	is	be	AUX
cet-3942	100	86	more	more	ADV
cet-3942	100	87	practical	practical	ADJ
cet-3942	100	88	and	and	CCONJ
cet-3942	100	89	more	more	ADJ
cet-3942	100	90	accuracy	accuracy	NOUN
cet-3942	100	91	in	in	ADP
cet-3942	100	92	classifying	classify	VERB
cet-3942	100	93	the	the	DET
cet-3942	100	94	blood	blood	NOUN
cet-3942	100	95	cell	cell	NOUN
cet-3942	100	96	.	.	PUNCT
cet-3942	101	1	reference	reference	NOUN
cet-3942	101	2	beksac	beksac	NOUN
cet-3942	101	3	m.	m.	NOUN
cet-3942	101	4	,	,	PUNCT
cet-3942	101	5	beksac	beksac	NOUN
cet-3942	101	6	m.	m.	NOUN
cet-3942	101	7	s.	s.	PROPN
cet-3942	101	8	,	,	PUNCT
cet-3942	101	9	tippi	tippi	PROPN
cet-3942	101	10	v.	v.	PROPN
cet-3942	101	11	b.	b.	PROPN
cet-3942	101	12	,	,	PUNCT
cet-3942	101	13	duru	duru	PROPN
cet-3942	101	14	h.	h.	PROPN
cet-3942	101	15	a.	a.	PROPN
cet-3942	101	16	,	,	PUNCT
cet-3942	101	17	karakas	karakas	PROPN
cet-3942	101	18	m.	m.	PROPN
cet-3942	101	19	u.	u.	PROPN
cet-3942	101	20	,	,	PUNCT
cet-3942	101	21	nurcakar	nurcakar	NOUN
cet-3942	101	22	a.	a.	NOUN
cet-3942	101	23	,	,	PUNCT
cet-3942	101	24	1997	1997	NUM
cet-3942	101	25	,	,	PUNCT
cet-3942	101	26	an	an	DET
cet-3942	101	27	artificial	artificial	ADJ
cet-3942	101	28	intelligent	intelligent	ADJ
cet-3942	101	29	diagnostic	diagnostic	ADJ
cet-3942	101	30	system	system	NOUN
cet-3942	101	31	on	on	ADP
cet-3942	101	32	differential	differential	ADJ
cet-3942	101	33	recognition	recognition	NOUN
cet-3942	101	34	of	of	ADP
cet-3942	101	35	hematopoietic	hematopoietic	ADJ
cet-3942	101	36	cells	cell	NOUN
cet-3942	101	37	from	from	ADP
cet-3942	101	38	microscopic	microscopic	ADJ
cet-3942	101	39	images	image	NOUN
cet-3942	101	40	,	,	PUNCT
cet-3942	101	41	cytom	cytom	NOUN
cet-3942	101	42	.	.	PUNCT
cet-3942	102	1	,30(3	,30(3	PROPN
cet-3942	102	2	)	)	PUNCT
cet-3942	102	3	,	,	PUNCT
cet-3942	103	1	145–150	145–150	PROPN
cet-3942	103	2	lee	lee	PROPN
cet-3942	103	3	r.	r.	PROPN
cet-3942	103	4	s.	s.	PROPN
cet-3942	103	5	t.	t.	PROPN
cet-3942	103	6	,	,	PUNCT
cet-3942	103	7	2004	2004	NUM
cet-3942	103	8	,	,	PUNCT
cet-3942	103	9	a	a	DET
cet-3942	103	10	transient	transient	ADJ
cet-3942	103	11	-	-	PUNCT
cet-3942	103	12	chaotic	chaotic	ADJ
cet-3942	103	13	auto	auto	NOUN
cet-3942	103	14	associative	associative	NOUN
cet-3942	103	15	network	network	NOUN
cet-3942	103	16	(	(	PUNCT
cet-3942	103	17	tcan	tcan	PROPN
cet-3942	103	18	)	)	PUNCT
cet-3942	103	19	based	base	VERB
cet-3942	103	20	on	on	ADP
cet-3942	103	21	lee	lee	PROPN
cet-3942	103	22	oscillators	oscillator	NOUN
cet-3942	103	23	,	,	PUNCT
cet-3942	103	24	ieee	ieee	PROPN
cet-3942	103	25	trans	trans	PROPN
cet-3942	103	26	.	.	PUNCT
cet-3942	103	27	neural	neural	ADJ
cet-3942	103	28	netw	netw	NOUN
cet-3942	103	29	.	.	PUNCT
cet-3942	103	30	,	,	PUNCT
cet-3942	103	31	15(5	15(5	NUM
cet-3942	103	32	)	)	PUNCT
cet-3942	103	33	,	,	PUNCT
cet-3942	103	34	1228–1243	1228–1243	NUM
cet-3942	103	35	,	,	PUNCT
cet-3942	103	36	doi	doi	NOUN
cet-3942	103	37	:	:	PUNCT
cet-3942	103	38	10.1109	10.1109	NUM
cet-3942	103	39	/	/	SYM
cet-3942	103	40	tnn.2004.832729	tnn.2004.832729	NUM
cet-3942	103	41	..	..	PUNCT
cet-3942	103	42	long	long	ADJ
cet-3942	103	43	x.	x.	NOUN
cet-3942	103	44	,	,	PUNCT
cet-3942	103	45	clevelnd	clevelnd	PROPN
cet-3942	103	46	w.	w.	PROPN
cet-3942	103	47	l.	l.	PROPN
cet-3942	103	48	,	,	PUNCT
cet-3942	103	49	yao	yao	PROPN
cet-3942	103	50	y.	y.	PROPN
cet-3942	103	51	l.	l.	PROPN
cet-3942	103	52	,	,	PUNCT
cet-3942	103	53	2005	2005	NUM
cet-3942	103	54	,	,	PUNCT
cet-3942	103	55	a	a	DET
cet-3942	103	56	new	new	ADJ
cet-3942	103	57	preprocessing	preprocessing	NOUN
cet-3942	103	58	approach	approach	NOUN
cet-3942	103	59	for	for	ADP
cet-3942	103	60	cell	cell	NOUN
cet-3942	103	61	recognition	recognition	NOUN
cet-3942	103	62	,	,	PUNCT
cet-3942	103	63	ieee	ieee	NOUN
cet-3942	103	64	transaction	transaction	NOUN
cet-3942	103	65	information	information	NOUN
cet-3942	103	66	technology	technology	NOUN
cet-3942	103	67	in	in	ADP
cet-3942	103	68	biomedicine	biomedicine	NOUN
cet-3942	103	69	,	,	PUNCT
cet-3942	103	70	9(3	9(3	NUM
cet-3942	103	71	)	)	PUNCT
cet-3942	103	72	,	,	PUNCT
cet-3942	103	73	407	407	NUM
cet-3942	103	74	-	-	SYM
cet-3942	103	75	412	412	NUM
cet-3942	103	76	,	,	PUNCT
cet-3942	103	77	doi	doi	NOUN
cet-3942	103	78	:	:	PUNCT
cet-3942	103	79	10.1109	10.1109	NUM
cet-3942	103	80	/	/	SYM
cet-3942	103	81	titb.2005.847502	titb.2005.847502	PROPN
cet-3942	103	82	.	.	PUNCT
cet-3942	104	1	osowski	osowski	PROPN
cet-3942	104	2	s.	s.	PROPN
cet-3942	104	3	,	,	PUNCT
cet-3942	104	4	markiewicz	markiewicz	PROPN
cet-3942	104	5	t.	t.	PROPN
cet-3942	104	6	,	,	PUNCT
cet-3942	104	7	2007	2007	NUM
cet-3942	104	8	,	,	PUNCT
cet-3942	104	9	support	support	NOUN
cet-3942	104	10	vector	vector	NOUN
cet-3942	104	11	machine	machine	NOUN
cet-3942	104	12	for	for	ADP
cet-3942	104	13	recognition	recognition	NOUN
cet-3942	104	14	of	of	ADP
cet-3942	104	15	white	white	ADJ
cet-3942	104	16	blood	blood	NOUN
cet-3942	104	17	cells	cell	NOUN
cet-3942	104	18	of	of	ADP
cet-3942	104	19	leukaemia	leukaemia	NOUN
cet-3942	104	20	,	,	PUNCT
cet-3942	104	21	kernel	kernel	NOUN
cet-3942	104	22	methods	method	NOUN
cet-3942	104	23	in	in	ADP
cet-3942	104	24	bioengineering	bioengineering	NOUN
cet-3942	104	25	,	,	PUNCT
cet-3942	104	26	signal	signal	NOUN
cet-3942	104	27	and	and	CCONJ
cet-3942	104	28	image	image	NOUN
cet-3942	104	29	processing	processing	NOUN
cet-3942	104	30	,	,	PUNCT
cet-3942	104	31	93–123	93–123	PROPN
cet-3942	104	32	,	,	PUNCT
cet-3942	104	33	doi	doi	NOUN
cet-3942	104	34	:	:	PUNCT
cet-3942	104	35	10.4018/978	10.4018/978	NUM
cet-3942	104	36	1	1	NUM
cet-3942	104	37	-	-	PUNCT
cet-3942	104	38	59904	59904	NUM
cet-3942	104	39	-	-	PUNCT
cet-3942	104	40	042	042	NUM
cet-3942	104	41	-	-	PUNCT
cet-3942	104	42	4.ch004	4.ch004	NUM
cet-3942	104	43	rezatofighi	rezatofighi	PROPN
cet-3942	104	44	s.h	s.h	PROPN
cet-3942	104	45	.	.	PROPN
cet-3942	104	46	,	,	PUNCT
cet-3942	104	47	khaksari	khaksari	PROPN
cet-3942	104	48	k.	k.	PROPN
cet-3942	104	49	,	,	PUNCT
cet-3942	104	50	soltanian	soltanian	PROPN
cet-3942	104	51	-	-	PUNCT
cet-3942	104	52	zadeh	zadeh	PROPN
cet-3942	104	53	h.	h.	PROPN
cet-3942	104	54	,	,	PUNCT
cet-3942	104	55	2010	2010	NUM
cet-3942	104	56	,	,	PUNCT
cet-3942	104	57	automatic	automatic	ADJ
cet-3942	104	58	recognition	recognition	NOUN
cet-3942	104	59	of	of	ADP
cet-3942	104	60	five	five	NUM
cet-3942	104	61	types	type	NOUN
cet-3942	104	62	of	of	ADP
cet-3942	104	63	white	white	ADJ
cet-3942	104	64	blood	blood	NOUN
cet-3942	104	65	cells	cell	NOUN
cet-3942	104	66	in	in	ADP
cet-3942	104	67	peripheral	peripheral	ADJ
cet-3942	104	68	blood	blood	NOUN
cet-3942	104	69	,	,	PUNCT
cet-3942	104	70	in	in	ADP
cet-3942	104	71	proceeding	proceeding	NOUN
cet-3942	104	72	of	of	ADP
cet-3942	104	73	international	international	ADJ
cet-3942	104	74	conference	conference	NOUN
cet-3942	104	75	image	image	NOUN
cet-3942	104	76	analysis	analysis	NOUN
cet-3942	104	77	and	and	CCONJ
cet-3942	104	78	recognition	recognition	NOUN
cet-3942	104	79	,	,	PUNCT
cet-3942	104	80	povoa	povoa	NOUN
cet-3942	104	81	de	de	ADP
cet-3942	104	82	varzim	varzim	PROPN
cet-3942	104	83	,	,	PUNCT
cet-3942	104	84	portugal	portugal	PROPN
cet-3942	104	85	.	.	PUNCT
cet-3942	105	1	siroic	siroic	PROPN
cet-3942	105	2	,	,	PUNCT
cet-3942	105	3	r.	r.	PROPN
cet-3942	105	4	,	,	PUNCT
cet-3942	105	5	osowski	osowski	PROPN
cet-3942	105	6	,	,	PUNCT
cet-3942	105	7	s.	s.	PROPN
cet-3942	105	8	,	,	PUNCT
cet-3942	105	9	markiewicz	markiewicz	NOUN
cet-3942	105	10	,	,	PUNCT
cet-3942	105	11	t.	t.	PROPN
cet-3942	105	12	,	,	PUNCT
cet-3942	105	13	&	&	CCONJ
cet-3942	105	14	siwek	siwek	PROPN
cet-3942	105	15	,	,	PUNCT
cet-3942	105	16	k.	k.	PROPN
cet-3942	105	17	,	,	PUNCT
cet-3942	105	18	2007	2007	NUM
cet-3942	105	19	,	,	PUNCT
cet-3942	105	20	support	support	NOUN
cet-3942	105	21	vector	vector	NOUN
cet-3942	105	22	machine	machine	NOUN
cet-3942	105	23	and	and	CCONJ
cet-3942	105	24	genetic	genetic	ADJ
cet-3942	105	25	algorithm	algorithm	NOUN
cet-3942	105	26	for	for	ADP
cet-3942	105	27	efricient	efricient	ADJ
cet-3942	105	28	blood	blood	NOUN
cet-3942	105	29	cell	cell	NOUN
cet-3942	105	30	recognition	recognition	NOUN
cet-3942	105	31	.	.	PUNCT
cet-3942	106	1	ieee	ieee	PROPN
cet-3942	106	2	instrumentation	instrumentation	PROPN
cet-3942	106	3	&	&	CCONJ
cet-3942	106	4	measurement	measurement	PROPN
cet-3942	106	5	technology	technology	PROPN
cet-3942	106	6	conference	conference	PROPN
cet-3942	106	7	1	1	NUM
cet-3942	106	8	-	-	SYM
cet-3942	106	9	6	6	NUM
cet-3942	106	10	,	,	PUNCT
cet-3942	106	11	doi	doi	NOUN
cet-3942	106	12	:	:	PUNCT
cet-3942	106	13	10.1109	10.1109	NUM
cet-3942	106	14	/	/	SYM
cet-3942	106	15	imtc.2007.379321	imtc.2007.379321	PROPN
cet-3942	106	16	.	.	PUNCT
cet-3942	107	1	theera	theera	NOUN
cet-3942	107	2	-	-	PUNCT
cet-3942	107	3	umpon	umpon	NOUN
cet-3942	107	4	n.	n.	NOUN
cet-3942	107	5	,	,	PUNCT
cet-3942	107	6	gader	gader	NOUN
cet-3942	107	7	p.	p.	NOUN
cet-3942	107	8	,	,	PUNCT
cet-3942	107	9	2002	2002	NUM
cet-3942	107	10	,	,	PUNCT
cet-3942	107	11	system	system	NOUN
cet-3942	107	12	-	-	PUNCT
cet-3942	107	13	level	level	NOUN
cet-3942	107	14	training	training	NOUN
cet-3942	107	15	of	of	ADP
cet-3942	107	16	neural	neural	ADJ
cet-3942	107	17	networks	network	NOUN
cet-3942	107	18	for	for	ADP
cet-3942	107	19	counting	count	VERB
cet-3942	107	20	white	white	ADJ
cet-3942	107	21	blood	blood	NOUN
cet-3942	107	22	cells	cell	NOUN
cet-3942	107	23	,	,	PUNCT
cet-3942	107	24	ieee	ieee	NOUN
cet-3942	107	25	trans	trans	PROPN
cet-3942	107	26	.	.	PUNCT
cet-3942	108	1	syst	syst	PROPN
cet-3942	108	2	.	.	PUNCT
cet-3942	108	3	,	,	PUNCT
cet-3942	108	4	man	man	NOUN
cet-3942	108	5	,	,	PUNCT
cet-3942	108	6	cybern	cybern	NOUN
cet-3942	108	7	.	.	PUNCT
cet-3942	109	1	32(1	32(1	NUM
cet-3942	109	2	)	)	PUNCT
cet-3942	109	3	,	,	PUNCT
cet-3942	109	4	48–53	48–53	NOUN
cet-3942	109	5	,	,	PUNCT
cet-3942	109	6	doi	doi	NOUN
cet-3942	109	7	:	:	PUNCT
cet-3942	109	8	10.1109	10.1109	NUM
cet-3942	109	9	/	/	SYM
cet-3942	109	10	tsmcc.2002.1009139	tsmcc.2002.1009139	PROPN
cet-3942	109	11	.	.	PUNCT
cet-3942	110	1	umpon	umpon	PROPN
cet-3942	110	2	n.t	n.t	PROPN
cet-3942	110	3	.	.	PROPN
cet-3942	110	4	,	,	PUNCT
cet-3942	110	5	gader	gader	NOUN
cet-3942	110	6	p.d	p.d	PROPN
cet-3942	110	7	.	.	PROPN
cet-3942	110	8	,	,	PUNCT
cet-3942	110	9	2002	2002	NUM
cet-3942	110	10	,	,	PUNCT
cet-3942	110	11	system	system	NOUN
cet-3942	110	12	-	-	PUNCT
cet-3942	110	13	level	level	NOUN
cet-3942	110	14	training	training	NOUN
cet-3942	110	15	of	of	ADP
cet-3942	110	16	neural	neural	ADJ
cet-3942	110	17	networks	network	NOUN
cet-3942	110	18	for	for	ADP
cet-3942	110	19	counting	count	VERB
cet-3942	110	20	white	white	ADJ
cet-3942	110	21	blood	blood	NOUN
cet-3942	110	22	cells	cell	NOUN
cet-3942	110	23	,	,	PUNCT
cet-3942	110	24	ieee	ieee	NOUN
cet-3942	110	25	transaction	transaction	NOUN
cet-3942	110	26	system	system	NOUN
cet-3942	110	27	,	,	PUNCT
cet-3942	110	28	man	man	NOUN
cet-3942	110	29	&	&	CCONJ
cet-3942	110	30	cybernetics	cybernetic	NOUN
cet-3942	110	31	,	,	PUNCT
cet-3942	110	32	32(1	32(1	NUM
cet-3942	110	33	)	)	PUNCT
cet-3942	110	34	,	,	PUNCT
cet-3942	110	35	48	48	NUM
cet-3942	110	36	-	-	SYM
cet-3942	110	37	53	53	NUM
cet-3942	110	38	,	,	PUNCT
cet-3942	110	39	doi	doi	NOUN
cet-3942	110	40	:	:	PUNCT
cet-3942	110	41	10.1109	10.1109	NUM
cet-3942	110	42	/	/	SYM
cet-3942	110	43	tsmcc.2002	tsmcc.2002	NOUN
cet-3942	110	44	.	.	PROPN
cet-3942	110	45	1009139	1009139	NUM
cet-3942	110	46	.	.	PUNCT
cet-3942	111	1	wang	wang	PROPN
cet-3942	111	2	l.	l.	PROPN
cet-3942	111	3	,	,	PUNCT
cet-3942	111	4	li	li	PROPN
cet-3942	111	5	s.	s.	PROPN
cet-3942	111	6	,	,	PUNCT
cet-3942	111	7	tian	tian	PROPN
cet-3942	111	8	f.	f.	PROPN
cet-3942	111	9	,	,	PUNCT
cet-3942	111	10	fu	fu	PROPN
cet-3942	111	11	x.	x.	NOUN
cet-3942	111	12	,	,	PUNCT
cet-3942	111	13	2004a	2004a	NUM
cet-3942	111	14	,	,	PUNCT
cet-3942	111	15	a	a	DET
cet-3942	111	16	noisy	noisy	ADJ
cet-3942	111	17	chaotic	chaotic	ADJ
cet-3942	111	18	neural	neural	ADJ
cet-3942	111	19	network	network	NOUN
cet-3942	111	20	for	for	ADP
cet-3942	111	21	solving	solve	VERB
cet-3942	111	22	combinatorial	combinatorial	ADJ
cet-3942	111	23	optimization	optimization	NOUN
cet-3942	111	24	problems	problem	NOUN
cet-3942	111	25	:	:	PUNCT
cet-3942	111	26	stochastic	stochastic	ADJ
cet-3942	111	27	chaotic	chaotic	ADJ
cet-3942	111	28	simulated	simulated	ADJ
cet-3942	111	29	annealing	annealing	NOUN
cet-3942	111	30	,	,	PUNCT
cet-3942	111	31	ieee	ieee	NOUN
cet-3942	111	32	transaction	transaction	NOUN
cet-3942	111	33	system	system	NOUN
cet-3942	111	34	,	,	PUNCT
cet-3942	111	35	man	man	NOUN
cet-3942	111	36	&	&	CCONJ
cet-3942	111	37	cybernetics	cybernetics	PROPN
cet-3942	111	38	34(5	34(5	NUM
cet-3942	111	39	)	)	PUNCT
cet-3942	111	40	,	,	PUNCT
cet-3942	111	41	2119–2125	2119–2125	NUM
cet-3942	111	42	,	,	PUNCT
cet-3942	111	43	doi	doi	NOUN
cet-3942	111	44	:	:	PUNCT
cet-3942	111	45	10.1109	10.1109	NUM
cet-3942	111	46	/	/	SYM
cet-3942	111	47	tsmcb.2004.829778	tsmcb.2004.829778	NUM
cet-3942	111	48	.	.	PUNCT
cet-3942	112	1	wang	wang	PROPN
cet-3942	112	2	r.	r.	PROPN
cet-3942	112	3	l.	l.	PROPN
cet-3942	112	4	,	,	PUNCT
cet-3942	112	5	tang	tang	PROPN
cet-3942	112	6	z.	z.	PROPN
cet-3942	112	7	,	,	PUNCT
cet-3942	112	8	cao	cao	PROPN
cet-3942	112	9	q.	q.	PROPN
cet-3942	112	10	p.	p.	PROPN
cet-3942	112	11	,	,	PUNCT
cet-3942	112	12	2004b	2004b	NUM
cet-3942	112	13	,	,	PUNCT
cet-3942	112	14	a	a	DET
cet-3942	112	15	hopfield	hopfield	ADJ
cet-3942	112	16	network	network	NOUN
cet-3942	112	17	learning	learning	NOUN
cet-3942	112	18	method	method	NOUN
cet-3942	112	19	for	for	ADP
cet-3942	112	20	bipartite	bipartite	PROPN
cet-3942	112	21	subgraph	subgraph	PROPN
cet-3942	112	22	problem	problem	NOUN
cet-3942	112	23	,	,	PUNCT
cet-3942	112	24	ieee	ieee	PROPN
cet-3942	112	25	trans	trans	PROPN
cet-3942	112	26	.	.	PUNCT
cet-3942	113	1	neural	neural	ADJ
cet-3942	113	2	netw	netw	NOUN
cet-3942	113	3	.	.	PUNCT
cet-3942	113	4	,	,	PUNCT
cet-3942	113	5	15(6	15(6	NUM
cet-3942	113	6	)	)	PUNCT
cet-3942	113	7	,	,	PUNCT
cet-3942	113	8	1458–1465	1458–1465	NUM
cet-3942	113	9	,	,	PUNCT
cet-3942	113	10	doi	doi	NOUN
cet-3942	113	11	:	:	PUNCT
cet-3942	113	12	10.1109	10.1109	NUM
cet-3942	113	13	/	/	SYM
cet-3942	113	14	tnn.2004.836234	tnn.2004.836234	PROPN
cet-3942	113	15	.	.	PROPN
cet-3942	113	16	yin	yin	PROPN
cet-3942	113	17	l.	l.	PROPN
cet-3942	113	18	,	,	PUNCT
cet-3942	113	19	liu	liu	PROPN
cet-3942	113	20	y.g	y.g	PROPN
cet-3942	113	21	.	.	PROPN
cet-3942	113	22	,	,	PUNCT
cet-3942	113	23	2015	2015	NUM
cet-3942	113	24	,	,	PUNCT
cet-3942	113	25	biclustering	biclustering	NOUN
cet-3942	113	26	of	of	ADP
cet-3942	113	27	the	the	DET
cet-3942	113	28	gene	gene	NOUN
cet-3942	113	29	expression	expression	NOUN
cet-3942	113	30	data	datum	NOUN
cet-3942	113	31	by	by	ADP
cet-3942	113	32	coevolution	coevolution	NOUN
cet-3942	113	33	cuckoo	cuckoo	NOUN
cet-3942	113	34	search	search	NOUN
cet-3942	113	35	.	.	PUNCT
cet-3942	114	1	international	international	ADJ
cet-3942	114	2	journal	journal	PROPN
cet-3942	114	3	bioautomation	bioautomation	PROPN
cet-3942	114	4	,	,	PUNCT
cet-3942	114	5	19(2	19(2	NUM
cet-3942	114	6	):	):	PUNCT
cet-3942	114	7	161	161	NUM
cet-3942	114	8	-	-	SYM
cet-3942	114	9	176	176	NUM
cet-3942	114	10	468	468	NUM