id	sid	tid	token	lemma	pos
ap-982	1	1	ap07_4-5.vp	ap07_4-5.vp	NOUN
ap-982	1	2	1	1	NUM
ap-982	1	3	introduction	introduction	NOUN
ap-982	1	4	cancer	cancer	NOUN
ap-982	1	5	is	be	AUX
ap-982	1	6	the	the	DET
ap-982	1	7	second	second	ADJ
ap-982	1	8	leading	leading	ADJ
ap-982	1	9	cause	cause	NOUN
ap-982	1	10	of	of	ADP
ap-982	1	11	death	death	NOUN
ap-982	1	12	in	in	ADP
ap-982	1	13	industrial	industrial	ADJ
ap-982	1	14	countries	country	NOUN
ap-982	1	15	.	.	PUNCT
ap-982	2	1	so	so	ADV
ap-982	2	2	as	as	SCONJ
ap-982	2	3	to	to	PART
ap-982	2	4	have	have	VERB
ap-982	2	5	the	the	DET
ap-982	2	6	best	good	ADJ
ap-982	2	7	possible	possible	ADJ
ap-982	2	8	chance	chance	NOUN
ap-982	2	9	of	of	ADP
ap-982	2	10	cure	cure	NOUN
ap-982	2	11	,	,	PUNCT
ap-982	2	12	cancer	cancer	NOUN
ap-982	2	13	has	have	VERB
ap-982	2	14	to	to	PART
ap-982	2	15	be	be	AUX
ap-982	2	16	detected	detect	VERB
ap-982	2	17	and	and	CCONJ
ap-982	2	18	treated	treat	VERB
ap-982	2	19	as	as	ADV
ap-982	2	20	early	early	ADV
ap-982	2	21	as	as	ADP
ap-982	2	22	possible	possible	ADJ
ap-982	2	23	.	.	PUNCT
ap-982	3	1	as	as	SCONJ
ap-982	3	2	cancer	cancer	NOUN
ap-982	3	3	starts	start	VERB
ap-982	3	4	within	within	ADP
ap-982	3	5	a	a	DET
ap-982	3	6	single	single	ADJ
ap-982	3	7	cell	cell	NOUN
ap-982	3	8	,	,	PUNCT
ap-982	3	9	many	many	ADJ
ap-982	3	10	types	type	NOUN
ap-982	3	11	of	of	ADP
ap-982	3	12	cancer	cancer	NOUN
ap-982	3	13	can	can	AUX
ap-982	3	14	be	be	AUX
ap-982	3	15	detected	detect	VERB
ap-982	3	16	very	very	ADV
ap-982	3	17	early	early	ADV
ap-982	3	18	from	from	ADP
ap-982	3	19	already	already	ADV
ap-982	3	20	marginal	marginal	ADJ
ap-982	3	21	changes	change	NOUN
ap-982	3	22	within	within	ADP
ap-982	3	23	single	single	ADJ
ap-982	3	24	cells	cell	NOUN
ap-982	3	25	using	use	VERB
ap-982	3	26	cytopathological	cytopathological	ADJ
ap-982	3	27	methods	method	NOUN
ap-982	3	28	.	.	PUNCT
ap-982	4	1	these	these	DET
ap-982	4	2	cell	cell	NOUN
ap-982	4	3	specimens	specimen	NOUN
ap-982	4	4	can	can	AUX
ap-982	4	5	be	be	AUX
ap-982	4	6	obtained	obtain	VERB
ap-982	4	7	easily	easily	ADV
ap-982	4	8	and	and	CCONJ
ap-982	4	9	painlessly	painlessly	ADV
ap-982	4	10	,	,	PUNCT
ap-982	4	11	e.g.	e.g.	ADV
ap-982	4	12	with	with	ADP
ap-982	4	13	tiny	tiny	ADJ
ap-982	4	14	brushes	brush	NOUN
ap-982	4	15	,	,	PUNCT
ap-982	4	16	from	from	ADP
ap-982	4	17	the	the	DET
ap-982	4	18	oral	oral	ADJ
ap-982	4	19	mucosa	mucosa	NOUN
ap-982	4	20	.	.	PUNCT
ap-982	5	1	one	one	NUM
ap-982	5	2	cytopathological	cytopathological	ADJ
ap-982	5	3	diagnostic	diagnostic	ADJ
ap-982	5	4	method	method	NOUN
ap-982	5	5	is	be	AUX
ap-982	5	6	dna	dna	PROPN
ap-982	5	7	image	image	NOUN
ap-982	5	8	cytometry	cytometry	NOUN
ap-982	5	9	(	(	PUNCT
ap-982	5	10	dna	dna	PROPN
ap-982	5	11	-	-	PUNCT
ap-982	5	12	icm	icm	NOUN
ap-982	5	13	)	)	PUNCT
ap-982	5	14	.	.	PUNCT
ap-982	6	1	for	for	ADP
ap-982	6	2	this	this	PRON
ap-982	6	3	the	the	DET
ap-982	6	4	cells	cell	NOUN
ap-982	6	5	are	be	AUX
ap-982	6	6	stained	stain	VERB
ap-982	6	7	stoichiometrically	stoichiometrically	ADV
ap-982	6	8	according	accord	VERB
ap-982	6	9	to	to	PART
ap-982	6	10	feulgen	feulgen	VERB
ap-982	6	11	to	to	PART
ap-982	6	12	visualize	visualize	VERB
ap-982	6	13	the	the	DET
ap-982	6	14	dna	dna	PROPN
ap-982	6	15	content	content	NOUN
ap-982	6	16	within	within	ADP
ap-982	6	17	the	the	DET
ap-982	6	18	nuclei	nucleus	NOUN
ap-982	6	19	.	.	PUNCT
ap-982	7	1	images	image	NOUN
ap-982	7	2	of	of	ADP
ap-982	7	3	the	the	DET
ap-982	7	4	nuclei	nucleus	NOUN
ap-982	7	5	are	be	AUX
ap-982	7	6	captured	capture	VERB
ap-982	7	7	with	with	ADP
ap-982	7	8	a	a	DET
ap-982	7	9	camera	camera	NOUN
ap-982	7	10	mounted	mount	VERB
ap-982	7	11	on	on	ADP
ap-982	7	12	a	a	DET
ap-982	7	13	brightfield	brightfield	ADJ
ap-982	7	14	light	light	NOUN
ap-982	7	15	microscope	microscope	NOUN
ap-982	7	16	.	.	PUNCT
ap-982	8	1	since	since	SCONJ
ap-982	8	2	dna	dna	PROPN
ap-982	8	3	-	-	PUNCT
ap-982	8	4	icm	icm	NOUN
ap-982	8	5	needs	need	VERB
ap-982	8	6	the	the	DET
ap-982	8	7	dna	dna	PROPN
ap-982	8	8	value	value	NOUN
ap-982	8	9	of	of	ADP
ap-982	8	10	each	each	DET
ap-982	8	11	cell	cell	NOUN
ap-982	8	12	,	,	PUNCT
ap-982	8	13	the	the	DET
ap-982	8	14	integral	integral	ADJ
ap-982	8	15	optical	optical	ADJ
ap-982	8	16	densities	density	NOUN
ap-982	8	17	of	of	ADP
ap-982	8	18	the	the	DET
ap-982	8	19	nuclei	nucleus	NOUN
ap-982	8	20	are	be	AUX
ap-982	8	21	computed	compute	VERB
ap-982	8	22	.	.	PUNCT
ap-982	9	1	to	to	PART
ap-982	9	2	obtain	obtain	VERB
ap-982	9	3	the	the	DET
ap-982	9	4	dna	dna	PROPN
ap-982	9	5	value	value	NOUN
ap-982	9	6	from	from	ADP
ap-982	9	7	these	these	DET
ap-982	9	8	integral	integral	ADJ
ap-982	9	9	optical	optical	ADJ
ap-982	9	10	densities	density	NOUN
ap-982	9	11	,	,	PUNCT
ap-982	9	12	a	a	DET
ap-982	9	13	set	set	NOUN
ap-982	9	14	of	of	ADP
ap-982	9	15	about	about	ADP
ap-982	9	16	normal	normal	ADJ
ap-982	9	17	,	,	PUNCT
ap-982	9	18	non	non	ADJ
ap-982	9	19	-	-	ADJ
ap-982	9	20	proliferating	proliferating	ADJ
ap-982	9	21	cells	cell	NOUN
ap-982	9	22	,	,	PUNCT
ap-982	9	23	called	call	VERB
ap-982	9	24	reference	reference	NOUN
ap-982	9	25	cells	cell	NOUN
ap-982	9	26	,	,	PUNCT
ap-982	9	27	has	have	VERB
ap-982	9	28	to	to	PART
ap-982	9	29	be	be	AUX
ap-982	9	30	selected	select	VERB
ap-982	9	31	.	.	PUNCT
ap-982	10	1	then	then	ADV
ap-982	10	2	the	the	DET
ap-982	10	3	dna	dna	PROPN
ap-982	10	4	content	content	NOUN
ap-982	10	5	of	of	ADP
ap-982	10	6	each	each	DET
ap-982	10	7	nucleus	nucleus	NOUN
ap-982	10	8	is	be	AUX
ap-982	10	9	computed	compute	VERB
ap-982	10	10	from	from	ADP
ap-982	10	11	the	the	DET
ap-982	10	12	ratio	ratio	NOUN
ap-982	10	13	of	of	ADP
ap-982	10	14	its	its	PRON
ap-982	10	15	integral	integral	ADJ
ap-982	10	16	optical	optical	ADJ
ap-982	10	17	density	density	NOUN
ap-982	10	18	to	to	ADP
ap-982	10	19	the	the	DET
ap-982	10	20	mean	mean	ADJ
ap-982	10	21	integral	integral	ADJ
ap-982	10	22	optical	optical	ADJ
ap-982	10	23	density	density	NOUN
ap-982	10	24	of	of	ADP
ap-982	10	25	the	the	DET
ap-982	10	26	reference	reference	NOUN
ap-982	10	27	cells	cell	NOUN
ap-982	10	28	.	.	PUNCT
ap-982	11	1	subsequently	subsequently	ADV
ap-982	11	2	the	the	DET
ap-982	11	3	diagnosis	diagnosis	NOUN
ap-982	11	4	is	be	AUX
ap-982	11	5	performed	perform	VERB
ap-982	11	6	based	base	VERB
ap-982	11	7	on	on	ADP
ap-982	11	8	the	the	DET
ap-982	11	9	histogram	histogram	NOUN
ap-982	11	10	of	of	ADP
ap-982	11	11	the	the	DET
ap-982	11	12	dna	dna	PROPN
ap-982	11	13	values	value	NOUN
ap-982	11	14	of	of	ADP
ap-982	11	15	diagnostically	diagnostically	ADV
ap-982	11	16	relevant	relevant	ADJ
ap-982	11	17	,	,	PUNCT
ap-982	11	18	suspicious	suspicious	ADJ
ap-982	11	19	analysis	analysis	NOUN
ap-982	11	20	cells	cell	NOUN
ap-982	11	21	.	.	PUNCT
ap-982	12	1	for	for	ADP
ap-982	12	2	oral	oral	ADJ
ap-982	12	3	mucosa	mucosa	NOUN
ap-982	12	4	these	these	PRON
ap-982	12	5	are	be	AUX
ap-982	12	6	squamous	squamous	ADJ
ap-982	12	7	epithelial	epithelial	ADJ
ap-982	12	8	cells	cell	NOUN
ap-982	12	9	with	with	ADP
ap-982	12	10	noticeably	noticeably	ADV
ap-982	12	11	altered	alter	VERB
ap-982	12	12	morphology	morphology	NOUN
ap-982	12	13	and	and	CCONJ
ap-982	12	14	chromatin	chromatin	NOUN
ap-982	12	15	texture	texture	NOUN
ap-982	12	16	,	,	PUNCT
ap-982	12	17	i.e.	i.e.	X
ap-982	12	18	,	,	PUNCT
ap-982	12	19	amount	amount	NOUN
ap-982	12	20	and	and	CCONJ
ap-982	12	21	distribution	distribution	NOUN
ap-982	12	22	of	of	ADP
ap-982	12	23	dna	dna	PROPN
ap-982	12	24	,	,	PUNCT
ap-982	12	25	of	of	ADP
ap-982	12	26	their	their	PRON
ap-982	12	27	nuclei	nucleus	NOUN
ap-982	12	28	,	,	PUNCT
ap-982	12	29	cells	cell	NOUN
ap-982	12	30	that	that	PRON
ap-982	12	31	therefore	therefore	ADV
ap-982	12	32	are	be	AUX
ap-982	12	33	suspicious	suspicious	ADJ
ap-982	12	34	of	of	ADP
ap-982	12	35	cancer	cancer	NOUN
ap-982	12	36	.	.	PUNCT
ap-982	13	1	according	accord	VERB
ap-982	13	2	to	to	ADP
ap-982	13	3	the	the	DET
ap-982	13	4	european	european	ADJ
ap-982	13	5	guidelines	guideline	NOUN
ap-982	13	6	for	for	ADP
ap-982	13	7	dna	dna	PROPN
ap-982	13	8	-	-	PUNCT
ap-982	13	9	icm	icm	NOUN
ap-982	13	10	[	[	X
ap-982	13	11	1	1	NUM
ap-982	13	12	]	]	PUNCT
ap-982	13	13	,	,	PUNCT
ap-982	13	14	a	a	DET
ap-982	13	15	cytopathologist	cytopathologist	NOUN
ap-982	13	16	has	have	VERB
ap-982	13	17	to	to	PART
ap-982	13	18	find	find	VERB
ap-982	13	19	and	and	CCONJ
ap-982	13	20	select	select	VERB
ap-982	13	21	manually	manually	ADV
ap-982	13	22	about	about	ADP
ap-982	13	23	30	30	NUM
ap-982	13	24	ref86	ref86	NOUN
ap-982	13	25	©	©	PROPN
ap-982	13	26	czech	czech	PROPN
ap-982	13	27	technical	technical	PROPN
ap-982	13	28	university	university	PROPN
ap-982	13	29	publishing	publishing	NOUN
ap-982	13	30	house	house	NOUN
ap-982	13	31	http://ctn.cvut.cz/ap/	http://ctn.cvut.cz/ap/	PROPN
ap-982	13	32	acta	acta	PROPN
ap-982	13	33	polytechnica	polytechnica	PROPN
ap-982	13	34	vol	vol	NOUN
ap-982	13	35	.	.	PUNCT
ap-982	14	1	47	47	NUM
ap-982	14	2	no	no	NOUN
ap-982	14	3	.	.	PUNCT
ap-982	15	1	4–5/2007	4–5/2007	NUM
ap-982	15	2	automated	automate	VERB
ap-982	15	3	classification	classification	NOUN
ap-982	15	4	of	of	ADP
ap-982	15	5	analysisand	analysisand	NOUN
ap-982	15	6	reference	reference	NOUN
ap-982	15	7	cells	cell	NOUN
ap-982	15	8	for	for	ADP
ap-982	15	9	cancer	cancer	NOUN
ap-982	15	10	diagnostics	diagnostic	NOUN
ap-982	15	11	in	in	ADP
ap-982	15	12	microscopic	microscopic	ADJ
ap-982	15	13	images	image	NOUN
ap-982	15	14	of	of	ADP
ap-982	15	15	epithelial	epithelial	ADJ
ap-982	15	16	cells	cell	NOUN
ap-982	15	17	from	from	ADP
ap-982	15	18	the	the	DET
ap-982	15	19	oral	oral	ADJ
ap-982	15	20	mucosa	mucosa	NOUN
ap-982	15	21	t.	t.	PROPN
ap-982	15	22	e.	e.	PROPN
ap-982	15	23	schneider	schneider	PROPN
ap-982	15	24	to	to	PART
ap-982	15	25	get	get	VERB
ap-982	15	26	the	the	DET
ap-982	15	27	best	good	ADJ
ap-982	15	28	possible	possible	ADJ
ap-982	15	29	chance	chance	NOUN
ap-982	15	30	of	of	ADP
ap-982	15	31	healing	healing	NOUN
ap-982	15	32	,	,	PUNCT
ap-982	15	33	cancer	cancer	NOUN
ap-982	15	34	has	have	VERB
ap-982	15	35	to	to	PART
ap-982	15	36	be	be	AUX
ap-982	15	37	detected	detect	VERB
ap-982	15	38	as	as	ADV
ap-982	15	39	early	early	ADV
ap-982	15	40	as	as	ADP
ap-982	15	41	possible	possible	ADJ
ap-982	15	42	.	.	PUNCT
ap-982	16	1	as	as	SCONJ
ap-982	16	2	cancer	cancer	NOUN
ap-982	16	3	starts	start	VERB
ap-982	16	4	within	within	ADP
ap-982	16	5	a	a	DET
ap-982	16	6	single	single	ADJ
ap-982	16	7	cell	cell	NOUN
ap-982	16	8	,	,	PUNCT
ap-982	16	9	cytopathological	cytopathological	ADJ
ap-982	16	10	methods	method	NOUN
ap-982	16	11	offer	offer	VERB
ap-982	16	12	the	the	DET
ap-982	16	13	possibility	possibility	NOUN
ap-982	16	14	of	of	ADP
ap-982	16	15	early	early	ADJ
ap-982	16	16	detection	detection	NOUN
ap-982	16	17	.	.	PUNCT
ap-982	17	1	one	one	NUM
ap-982	17	2	such	such	ADJ
ap-982	17	3	method	method	NOUN
ap-982	17	4	is	be	AUX
ap-982	17	5	standardized	standardize	VERB
ap-982	17	6	dna	dna	PROPN
ap-982	17	7	image	image	NOUN
ap-982	17	8	cytometry	cytometry	NOUN
ap-982	17	9	.	.	PUNCT
ap-982	18	1	for	for	ADP
ap-982	18	2	this	this	PRON
ap-982	18	3	,	,	PUNCT
ap-982	18	4	the	the	DET
ap-982	18	5	diagnostically	diagnostically	ADV
ap-982	18	6	relevant	relevant	ADJ
ap-982	18	7	cells	cell	NOUN
ap-982	18	8	have	have	VERB
ap-982	18	9	to	to	PART
ap-982	18	10	be	be	AUX
ap-982	18	11	found	find	VERB
ap-982	18	12	within	within	ADP
ap-982	18	13	each	each	DET
ap-982	18	14	specimen	speciman	NOUN
ap-982	18	15	,	,	PUNCT
ap-982	18	16	which	which	PRON
ap-982	18	17	is	be	AUX
ap-982	18	18	currently	currently	ADV
ap-982	18	19	performed	perform	VERB
ap-982	18	20	manually	manually	ADV
ap-982	18	21	.	.	PUNCT
ap-982	19	1	since	since	SCONJ
ap-982	19	2	this	this	PRON
ap-982	19	3	is	be	AUX
ap-982	19	4	a	a	DET
ap-982	19	5	time	time	NOUN
ap-982	19	6	-	-	PUNCT
ap-982	19	7	consuming	consume	VERB
ap-982	19	8	process	process	NOUN
ap-982	19	9	,	,	PUNCT
ap-982	19	10	a	a	DET
ap-982	19	11	preselection	preselection	NOUN
ap-982	19	12	of	of	ADP
ap-982	19	13	diagnostically	diagnostically	ADV
ap-982	19	14	relevant	relevant	ADJ
ap-982	19	15	cells	cell	NOUN
ap-982	19	16	has	have	VERB
ap-982	19	17	to	to	PART
ap-982	19	18	be	be	AUX
ap-982	19	19	performed	perform	VERB
ap-982	19	20	automatically	automatically	ADV
ap-982	19	21	.	.	PUNCT
ap-982	20	1	for	for	ADP
ap-982	20	2	specimens	specimen	NOUN
ap-982	20	3	of	of	ADP
ap-982	20	4	the	the	DET
ap-982	20	5	oral	oral	ADJ
ap-982	20	6	mucosa	mucosa	NOUN
ap-982	20	7	this	this	PRON
ap-982	20	8	involves	involve	VERB
ap-982	20	9	distinguishing	distinguish	VERB
ap-982	20	10	between	between	ADP
ap-982	20	11	undoubted	undoubted	ADJ
ap-982	20	12	healthy	healthy	ADJ
ap-982	20	13	epithelial	epithelial	ADJ
ap-982	20	14	cells	cell	NOUN
ap-982	20	15	and	and	CCONJ
ap-982	20	16	possibly	possibly	ADV
ap-982	20	17	cancerous	cancerous	ADJ
ap-982	20	18	epithelial	epithelial	ADJ
ap-982	20	19	cells	cell	NOUN
ap-982	20	20	.	.	PUNCT
ap-982	21	1	based	base	VERB
ap-982	21	2	on	on	ADP
ap-982	21	3	cell	cell	NOUN
ap-982	21	4	images	image	NOUN
ap-982	21	5	from	from	ADP
ap-982	21	6	a	a	DET
ap-982	21	7	brightfield	brightfield	ADJ
ap-982	21	8	light	light	NOUN
ap-982	21	9	microscope	microscope	NOUN
ap-982	21	10	,	,	PUNCT
ap-982	21	11	a	a	DET
ap-982	21	12	set	set	NOUN
ap-982	21	13	of	of	ADP
ap-982	21	14	morphological	morphological	ADJ
ap-982	21	15	and	and	CCONJ
ap-982	21	16	textural	textural	ADJ
ap-982	21	17	features	feature	NOUN
ap-982	21	18	was	be	AUX
ap-982	21	19	implemented	implement	VERB
ap-982	21	20	.	.	PUNCT
ap-982	22	1	to	to	PART
ap-982	22	2	identify	identify	VERB
ap-982	22	3	highly	highly	ADV
ap-982	22	4	distinctive	distinctive	ADJ
ap-982	22	5	feature	feature	NOUN
ap-982	22	6	subsets	subset	NOUN
ap-982	22	7	the	the	DET
ap-982	22	8	sequential	sequential	ADJ
ap-982	22	9	forward	forward	ADV
ap-982	22	10	floating	float	VERB
ap-982	22	11	search	search	NOUN
ap-982	22	12	method	method	NOUN
ap-982	22	13	is	be	AUX
ap-982	22	14	used	use	VERB
ap-982	22	15	.	.	PUNCT
ap-982	23	1	for	for	ADP
ap-982	23	2	these	these	DET
ap-982	23	3	feature	feature	NOUN
ap-982	23	4	sets	set	VERB
ap-982	23	5	k	k	NOUN
ap-982	23	6	-	-	PUNCT
ap-982	23	7	nearest	near	ADJ
ap-982	23	8	neighbor	neighbor	NOUN
ap-982	23	9	and	and	CCONJ
ap-982	23	10	fuzzy	fuzzy	ADJ
ap-982	23	11	k	k	ADJ
ap-982	23	12	-	-	PUNCT
ap-982	23	13	nearest	near	ADJ
ap-982	23	14	neighbor	neighbor	NOUN
ap-982	23	15	classifiers	classifier	NOUN
ap-982	23	16	as	as	ADV
ap-982	23	17	well	well	ADV
ap-982	23	18	as	as	ADP
ap-982	23	19	support	support	NOUN
ap-982	23	20	vector	vector	NOUN
ap-982	23	21	machines	machine	NOUN
ap-982	23	22	were	be	AUX
ap-982	23	23	trained	train	VERB
ap-982	23	24	.	.	PUNCT
ap-982	24	1	on	on	ADP
ap-982	24	2	a	a	DET
ap-982	24	3	validation	validation	NOUN
ap-982	24	4	set	set	NOUN
ap-982	24	5	of	of	ADP
ap-982	24	6	cells	cell	NOUN
ap-982	24	7	it	it	PRON
ap-982	24	8	could	could	AUX
ap-982	24	9	be	be	AUX
ap-982	24	10	shown	show	VERB
ap-982	24	11	that	that	SCONJ
ap-982	24	12	normal	normal	ADJ
ap-982	24	13	and	and	CCONJ
ap-982	24	14	possibly	possibly	ADV
ap-982	24	15	cancerous	cancerous	ADJ
ap-982	24	16	cells	cell	NOUN
ap-982	24	17	can	can	AUX
ap-982	24	18	be	be	AUX
ap-982	24	19	distinguished	distinguish	VERB
ap-982	24	20	at	at	ADP
ap-982	24	21	overall	overall	ADJ
ap-982	24	22	rates	rate	NOUN
ap-982	24	23	above	above	ADP
ap-982	24	24	95.5	95.5	NUM
ap-982	24	25	%	%	NOUN
ap-982	24	26	for	for	ADP
ap-982	24	27	different	different	ADJ
ap-982	24	28	classifiers	classifier	NOUN
ap-982	24	29	,	,	PUNCT
ap-982	24	30	enabling	enable	VERB
ap-982	24	31	us	we	PRON
ap-982	24	32	to	to	PART
ap-982	24	33	choose	choose	VERB
ap-982	24	34	the	the	DET
ap-982	24	35	support	support	NOUN
ap-982	24	36	vector	vector	NOUN
ap-982	24	37	machine	machine	NOUN
ap-982	24	38	with	with	ADP
ap-982	24	39	a	a	DET
ap-982	24	40	set	set	NOUN
ap-982	24	41	of	of	ADP
ap-982	24	42	two	two	NUM
ap-982	24	43	features	feature	NOUN
ap-982	24	44	only	only	ADV
ap-982	24	45	as	as	ADP
ap-982	24	46	the	the	DET
ap-982	24	47	classifier	classifier	NOUN
ap-982	24	48	with	with	ADP
ap-982	24	49	the	the	DET
ap-982	24	50	lowest	low	ADJ
ap-982	24	51	computational	computational	ADJ
ap-982	24	52	costs	cost	NOUN
ap-982	24	53	.	.	PUNCT
ap-982	25	1	keywords	keyword	NOUN
ap-982	25	2	:	:	PUNCT
ap-982	26	1	cells	cell	NOUN
ap-982	26	2	,	,	PUNCT
ap-982	26	3	cytopathology	cytopathology	NOUN
ap-982	26	4	,	,	PUNCT
ap-982	26	5	feature	feature	NOUN
ap-982	26	6	extraction	extraction	NOUN
ap-982	26	7	,	,	PUNCT
ap-982	26	8	classification	classification	NOUN
ap-982	26	9	,	,	PUNCT
ap-982	26	10	fuzzy	fuzzy	ADJ
ap-982	26	11	k	k	ADJ
ap-982	26	12	-	-	PUNCT
ap-982	26	13	nearest	near	ADJ
ap-982	26	14	neighbor	neighbor	NOUN
ap-982	26	15	,	,	PUNCT
ap-982	26	16	support	support	NOUN
ap-982	26	17	vector	vector	NOUN
ap-982	26	18	machine	machine	NOUN
ap-982	26	19	.	.	PUNCT
ap-982	27	1	fig	fig	NOUN
ap-982	27	2	.	.	PUNCT
ap-982	28	1	1	1	NUM
ap-982	28	2	:	:	PUNCT
ap-982	28	3	two	two	NUM
ap-982	28	4	examples	example	NOUN
ap-982	28	5	of	of	ADP
ap-982	28	6	feulgen	feulgen	NOUN
ap-982	28	7	stained	stain	VERB
ap-982	28	8	squamous	squamous	ADJ
ap-982	28	9	epithelial	epithelial	ADJ
ap-982	28	10	cells	cell	NOUN
ap-982	28	11	.	.	PUNCT
ap-982	29	1	on	on	ADP
ap-982	29	2	the	the	DET
ap-982	29	3	left	left	NOUN
ap-982	29	4	a	a	DET
ap-982	29	5	normal	normal	ADJ
ap-982	29	6	cell	cell	NOUN
ap-982	29	7	is	be	AUX
ap-982	29	8	shown	show	VERB
ap-982	29	9	,	,	PUNCT
ap-982	29	10	on	on	ADP
ap-982	29	11	the	the	DET
ap-982	29	12	right	right	NOUN
ap-982	29	13	a	a	DET
ap-982	29	14	morphologically	morphologically	ADV
ap-982	29	15	abnormal	abnormal	ADJ
ap-982	29	16	analysis	analysis	NOUN
ap-982	29	17	cell	cell	NOUN
ap-982	29	18	.	.	PUNCT
ap-982	30	1	since	since	SCONJ
ap-982	30	2	feulgen	feulgen	VERB
ap-982	30	3	stains	stain	NOUN
ap-982	30	4	the	the	DET
ap-982	30	5	dna	dna	PROPN
ap-982	30	6	stoichiometrically	stoichiometrically	ADV
ap-982	30	7	,	,	PUNCT
ap-982	30	8	the	the	DET
ap-982	30	9	dna	dna	NOUN
ap-982	30	10	within	within	ADP
ap-982	30	11	the	the	DET
ap-982	30	12	nuclei	nucleus	NOUN
ap-982	30	13	is	be	AUX
ap-982	30	14	stained	stain	VERB
ap-982	30	15	,	,	PUNCT
ap-982	30	16	whereas	whereas	SCONJ
ap-982	30	17	the	the	DET
ap-982	30	18	surrounding	surround	VERB
ap-982	30	19	cytoplasm	cytoplasm	NOUN
ap-982	30	20	is	be	AUX
ap-982	30	21	not	not	PART
ap-982	30	22	.	.	PUNCT
ap-982	31	1	erence	erence	NOUN
ap-982	31	2	cells	cell	NOUN
ap-982	31	3	and	and	CCONJ
ap-982	31	4	about	about	ADV
ap-982	31	5	300	300	NUM
ap-982	31	6	analysis	analysis	NOUN
ap-982	31	7	cells	cell	NOUN
ap-982	31	8	.	.	PUNCT
ap-982	32	1	this	this	PRON
ap-982	32	2	is	be	AUX
ap-982	32	3	a	a	DET
ap-982	32	4	time	time	NOUN
ap-982	32	5	-	-	PUNCT
ap-982	32	6	consuming	consume	VERB
ap-982	32	7	task	task	NOUN
ap-982	32	8	,	,	PUNCT
ap-982	32	9	which	which	PRON
ap-982	32	10	the	the	DET
ap-982	32	11	expert	expert	NOUN
ap-982	32	12	should	should	AUX
ap-982	32	13	therefore	therefore	ADV
ap-982	32	14	be	be	AUX
ap-982	32	15	assisted	assist	VERB
ap-982	32	16	by	by	ADP
ap-982	32	17	automated	automate	VERB
ap-982	32	18	preselection	preselection	NOUN
ap-982	32	19	of	of	ADP
ap-982	32	20	cells	cell	NOUN
ap-982	32	21	.	.	PUNCT
ap-982	33	1	a	a	DET
ap-982	33	2	machine	machine	NOUN
ap-982	33	3	for	for	ADP
ap-982	33	4	fully	fully	ADV
ap-982	33	5	automated	automate	VERB
ap-982	33	6	screening	screening	NOUN
ap-982	33	7	of	of	ADP
ap-982	33	8	cervical	cervical	ADJ
ap-982	33	9	smears	smear	NOUN
ap-982	33	10	using	use	VERB
ap-982	33	11	dna	dna	PROPN
ap-982	33	12	-	-	PUNCT
ap-982	33	13	icm	icm	NOUN
ap-982	33	14	is	be	AUX
ap-982	33	15	already	already	ADV
ap-982	33	16	available	available	ADJ
ap-982	33	17	.	.	PUNCT
ap-982	34	1	this	this	DET
ap-982	34	2	machine	machine	NOUN
ap-982	34	3	searches	search	NOUN
ap-982	34	4	for	for	ADP
ap-982	34	5	cells	cell	NOUN
ap-982	34	6	with	with	ADP
ap-982	34	7	an	an	DET
ap-982	34	8	abnormally	abnormally	ADV
ap-982	34	9	high	high	ADJ
ap-982	34	10	dna	dna	PROPN
ap-982	34	11	content	content	NOUN
ap-982	34	12	,	,	PUNCT
ap-982	34	13	by	by	ADP
ap-982	34	14	measuring	measure	VERB
ap-982	34	15	the	the	DET
ap-982	34	16	dna	dna	PROPN
ap-982	34	17	content	content	NOUN
ap-982	34	18	of	of	ADP
ap-982	34	19	all	all	DET
ap-982	34	20	existing	exist	VERB
ap-982	34	21	cells	cell	NOUN
ap-982	34	22	[	[	X
ap-982	34	23	2	2	NUM
ap-982	34	24	]	]	PUNCT
ap-982	34	25	.	.	PUNCT
ap-982	35	1	but	but	CCONJ
ap-982	35	2	as	as	SCONJ
ap-982	35	3	these	these	DET
ap-982	35	4	cells	cell	NOUN
ap-982	35	5	are	be	AUX
ap-982	35	6	rare	rare	ADJ
ap-982	35	7	and	and	CCONJ
ap-982	35	8	cancer	cancer	NOUN
ap-982	35	9	starts	start	VERB
ap-982	35	10	already	already	ADV
ap-982	35	11	with	with	ADP
ap-982	35	12	small	small	ADJ
ap-982	35	13	changes	change	NOUN
ap-982	35	14	of	of	ADP
ap-982	35	15	dna	dna	PROPN
ap-982	35	16	content	content	NOUN
ap-982	35	17	,	,	PUNCT
ap-982	35	18	the	the	DET
ap-982	35	19	same	same	ADJ
ap-982	35	20	high	high	ADJ
ap-982	35	21	sensitivity	sensitivity	NOUN
ap-982	35	22	and	and	CCONJ
ap-982	35	23	specificity	specificity	NOUN
ap-982	35	24	as	as	ADP
ap-982	35	25	with	with	ADP
ap-982	35	26	the	the	DET
ap-982	35	27	standardized	standardized	ADJ
ap-982	35	28	interactive	interactive	ADJ
ap-982	35	29	dna	dna	PROPN
ap-982	35	30	-	-	PUNCT
ap-982	35	31	icm	icm	NOUN
ap-982	36	1	[	[	X
ap-982	36	2	1	1	NUM
ap-982	36	3	]	]	PUNCT
ap-982	36	4	can	can	AUX
ap-982	36	5	not	not	PART
ap-982	36	6	be	be	AUX
ap-982	36	7	achieved	achieve	VERB
ap-982	36	8	.	.	PUNCT
ap-982	37	1	the	the	DET
ap-982	37	2	approach	approach	NOUN
ap-982	37	3	in	in	ADP
ap-982	37	4	this	this	DET
ap-982	37	5	paper	paper	NOUN
ap-982	37	6	therefore	therefore	ADV
ap-982	37	7	aims	aim	VERB
ap-982	37	8	at	at	ADP
ap-982	37	9	an	an	DET
ap-982	37	10	algorithmic	algorithmic	ADJ
ap-982	37	11	implementation	implementation	NOUN
ap-982	37	12	of	of	ADP
ap-982	37	13	such	such	ADJ
ap-982	37	14	expert	expert	ADJ
ap-982	37	15	knowledge	knowledge	NOUN
ap-982	37	16	for	for	ADP
ap-982	37	17	specimens	specimen	NOUN
ap-982	37	18	of	of	ADP
ap-982	37	19	the	the	DET
ap-982	37	20	oral	oral	ADJ
ap-982	37	21	mucosa	mucosa	NOUN
ap-982	37	22	,	,	PUNCT
ap-982	37	23	i.e.	i.e.	X
ap-982	37	24	,	,	PUNCT
ap-982	37	25	automatic	automatic	ADJ
ap-982	37	26	discrimination	discrimination	NOUN
ap-982	37	27	of	of	ADP
ap-982	37	28	normal	normal	ADJ
ap-982	37	29	epithelial	epithelial	ADJ
ap-982	37	30	nuclei	nucleus	NOUN
ap-982	37	31	as	as	ADP
ap-982	37	32	reference	reference	NOUN
ap-982	37	33	cells	cell	NOUN
ap-982	37	34	and	and	CCONJ
ap-982	37	35	non	non	PRON
ap-982	37	36	healthy	healthy	ADJ
ap-982	37	37	epithelial	epithelial	ADJ
ap-982	37	38	nuclei	nucleus	NOUN
ap-982	37	39	as	as	ADP
ap-982	37	40	analysis	analysis	NOUN
ap-982	37	41	cells	cell	NOUN
ap-982	37	42	.	.	PUNCT
ap-982	38	1	the	the	DET
ap-982	38	2	paper	paper	NOUN
ap-982	38	3	is	be	AUX
ap-982	38	4	organized	organize	VERB
ap-982	38	5	as	as	SCONJ
ap-982	38	6	follows	follow	VERB
ap-982	38	7	:	:	PUNCT
ap-982	38	8	in	in	ADP
ap-982	38	9	section	section	NOUN
ap-982	38	10	2	2	NUM
ap-982	38	11	the	the	DET
ap-982	38	12	database	database	NOUN
ap-982	38	13	of	of	ADP
ap-982	38	14	cells	cell	NOUN
ap-982	38	15	from	from	ADP
ap-982	38	16	oral	oral	ADJ
ap-982	38	17	smears	smear	NOUN
ap-982	38	18	and	and	CCONJ
ap-982	38	19	the	the	DET
ap-982	38	20	imaging	imaging	NOUN
ap-982	38	21	modality	modality	NOUN
ap-982	38	22	is	be	AUX
ap-982	38	23	described	describe	VERB
ap-982	38	24	.	.	PUNCT
ap-982	39	1	features	feature	NOUN
ap-982	39	2	characterizing	characterize	VERB
ap-982	39	3	the	the	DET
ap-982	39	4	properties	property	NOUN
ap-982	39	5	of	of	ADP
ap-982	39	6	epithelial	epithelial	ADJ
ap-982	39	7	reference	reference	NOUN
ap-982	39	8	and	and	CCONJ
ap-982	39	9	analysis	analysis	NOUN
ap-982	39	10	cells	cell	NOUN
ap-982	39	11	,	,	PUNCT
ap-982	39	12	the	the	DET
ap-982	39	13	process	process	NOUN
ap-982	39	14	of	of	ADP
ap-982	39	15	reducing	reduce	VERB
ap-982	39	16	the	the	DET
ap-982	39	17	whole	whole	ADJ
ap-982	39	18	feature	feature	NOUN
ap-982	39	19	set	set	VERB
ap-982	39	20	to	to	ADP
ap-982	39	21	a	a	DET
ap-982	39	22	subset	subset	NOUN
ap-982	39	23	of	of	ADP
ap-982	39	24	features	feature	NOUN
ap-982	39	25	with	with	ADP
ap-982	39	26	optimal	optimal	ADJ
ap-982	39	27	discriminating	discriminating	NOUN
ap-982	39	28	power	power	NOUN
ap-982	39	29	and	and	CCONJ
ap-982	39	30	different	different	ADJ
ap-982	39	31	classification	classification	NOUN
ap-982	39	32	algorithms	algorithm	NOUN
ap-982	39	33	to	to	PART
ap-982	39	34	classify	classify	VERB
ap-982	39	35	the	the	DET
ap-982	39	36	cells	cell	NOUN
ap-982	39	37	automatically	automatically	ADV
ap-982	39	38	is	be	AUX
ap-982	39	39	presented	present	VERB
ap-982	39	40	in	in	ADP
ap-982	39	41	section	section	NOUN
ap-982	39	42	3	3	NUM
ap-982	39	43	.	.	PUNCT
ap-982	40	1	the	the	DET
ap-982	40	2	results	result	NOUN
ap-982	40	3	of	of	ADP
ap-982	40	4	these	these	DET
ap-982	40	5	algorithms	algorithm	NOUN
ap-982	40	6	computed	compute	VERB
ap-982	40	7	on	on	ADP
ap-982	40	8	the	the	DET
ap-982	40	9	dataset	dataset	NOUN
ap-982	40	10	are	be	AUX
ap-982	40	11	presented	present	VERB
ap-982	40	12	in	in	ADP
ap-982	40	13	section	section	NOUN
ap-982	40	14	4	4	NUM
ap-982	40	15	,	,	PUNCT
ap-982	40	16	showing	show	VERB
ap-982	40	17	that	that	SCONJ
ap-982	40	18	epithelial	epithelial	ADJ
ap-982	40	19	reference	reference	NOUN
ap-982	40	20	and	and	CCONJ
ap-982	40	21	analysis	analysis	NOUN
ap-982	40	22	cells	cell	NOUN
ap-982	40	23	from	from	ADP
ap-982	40	24	15	15	NUM
ap-982	40	25	specimens	specimen	NOUN
ap-982	40	26	of	of	ADP
ap-982	40	27	the	the	DET
ap-982	40	28	oral	oral	ADJ
ap-982	40	29	mucosa	mucosa	NOUN
ap-982	40	30	can	can	AUX
ap-982	40	31	be	be	AUX
ap-982	40	32	discriminated	discriminate	VERB
ap-982	40	33	with	with	ADP
ap-982	40	34	different	different	ADJ
ap-982	40	35	classification	classification	NOUN
ap-982	40	36	methods	method	NOUN
ap-982	40	37	at	at	ADP
ap-982	40	38	total	total	ADJ
ap-982	40	39	classification	classification	NOUN
ap-982	40	40	rates	rate	NOUN
ap-982	40	41	of	of	ADP
ap-982	40	42	above	above	ADP
ap-982	40	43	95.5	95.5	NUM
ap-982	40	44	%	%	NOUN
ap-982	40	45	.	.	PUNCT
ap-982	41	1	the	the	DET
ap-982	41	2	paper	paper	NOUN
ap-982	41	3	ends	end	VERB
ap-982	41	4	by	by	ADP
ap-982	41	5	analyzing	analyze	VERB
ap-982	41	6	the	the	DET
ap-982	41	7	classification	classification	NOUN
ap-982	41	8	results	result	NOUN
ap-982	41	9	and	and	CCONJ
ap-982	41	10	suggesting	suggest	VERB
ap-982	41	11	topics	topic	NOUN
ap-982	41	12	for	for	ADP
ap-982	41	13	future	future	ADJ
ap-982	41	14	study	study	NOUN
ap-982	41	15	.	.	PUNCT
ap-982	42	1	2	2	NUM
ap-982	42	2	material	material	NOUN
ap-982	42	3	our	our	PRON
ap-982	42	4	dataset	dataset	NOUN
ap-982	42	5	is	be	AUX
ap-982	42	6	based	base	VERB
ap-982	42	7	on	on	ADP
ap-982	42	8	15	15	NUM
ap-982	42	9	feulgen	feulgen	NOUN
ap-982	42	10	stained	stain	VERB
ap-982	42	11	smears	smear	NOUN
ap-982	42	12	from	from	ADP
ap-982	42	13	the	the	DET
ap-982	42	14	oral	oral	ADJ
ap-982	42	15	mucosa	mucosa	NOUN
ap-982	42	16	.	.	PUNCT
ap-982	43	1	seven	seven	NUM
ap-982	43	2	of	of	ADP
ap-982	43	3	these	these	DET
ap-982	43	4	specimens	specimen	NOUN
ap-982	43	5	are	be	AUX
ap-982	43	6	without	without	ADP
ap-982	43	7	cancer	cancer	NOUN
ap-982	43	8	cells	cell	NOUN
ap-982	43	9	,	,	PUNCT
ap-982	43	10	including	include	VERB
ap-982	43	11	three	three	NUM
ap-982	43	12	with	with	ADP
ap-982	43	13	inflammation	inflammation	NOUN
ap-982	43	14	.	.	PUNCT
ap-982	44	1	five	five	NUM
ap-982	44	2	specimens	specimen	NOUN
ap-982	44	3	contain	contain	VERB
ap-982	44	4	cancer	cancer	NOUN
ap-982	44	5	cells	cell	NOUN
ap-982	44	6	.	.	PUNCT
ap-982	45	1	from	from	ADP
ap-982	45	2	these	these	DET
ap-982	45	3	specimens	specimen	NOUN
ap-982	45	4	images	image	NOUN
ap-982	45	5	have	have	AUX
ap-982	45	6	been	be	AUX
ap-982	45	7	acquired	acquire	VERB
ap-982	45	8	with	with	ADP
ap-982	45	9	a	a	DET
ap-982	45	10	brightfield	brightfield	ADJ
ap-982	45	11	light	light	ADJ
ap-982	45	12	microscope	microscope	NOUN
ap-982	45	13	and	and	CCONJ
ap-982	45	14	a	a	DET
ap-982	45	15	63×	63×	NUM
ap-982	45	16	oil	oil	NOUN
ap-982	45	17	immersion	immersion	NOUN
ap-982	45	18	objective	objective	NOUN
ap-982	45	19	(	(	PUNCT
ap-982	45	20	na	na	NOUN
ap-982	45	21	1.32	1.32	NUM
ap-982	45	22	)	)	PUNCT
ap-982	45	23	and	and	CCONJ
ap-982	45	24	a	a	DET
ap-982	45	25	three	three	NUM
ap-982	45	26	-	-	PUNCT
ap-982	45	27	chip	chip	NOUN
ap-982	45	28	ccd	ccd	NOUN
ap-982	45	29	camera	camera	NOUN
ap-982	45	30	with	with	ADP
ap-982	45	31	a	a	DET
ap-982	45	32	resulting	result	VERB
ap-982	45	33	resolution	resolution	NOUN
ap-982	45	34	of	of	ADP
ap-982	45	35	�	�	PROPN
ap-982	45	36	x	x	PROPN
ap-982	45	37	�	�	PROPN
ap-982	45	38	01	01	NUM
ap-982	45	39	.	.	PUNCT
ap-982	45	40	�	�	PROPN
ap-982	45	41	m.	m.	NOUN
ap-982	45	42	an	an	DET
ap-982	45	43	experienced	experienced	ADJ
ap-982	45	44	cytopathologist	cytopathologist	NOUN
ap-982	45	45	classified	classify	VERB
ap-982	45	46	950	950	NUM
ap-982	45	47	reference	reference	NOUN
ap-982	45	48	cells	cell	NOUN
ap-982	45	49	within	within	ADP
ap-982	45	50	the	the	DET
ap-982	45	51	specimens	specimen	NOUN
ap-982	45	52	without	without	ADP
ap-982	45	53	cancer	cancer	NOUN
ap-982	45	54	cells	cell	NOUN
ap-982	45	55	,	,	PUNCT
ap-982	45	56	and	and	CCONJ
ap-982	45	57	748	748	NUM
ap-982	45	58	analysis	analysis	NOUN
ap-982	45	59	cells	cell	NOUN
ap-982	45	60	within	within	ADP
ap-982	45	61	the	the	DET
ap-982	45	62	specimens	specimen	NOUN
ap-982	45	63	with	with	ADP
ap-982	45	64	cancer	cancer	NOUN
ap-982	45	65	cells	cell	NOUN
ap-982	45	66	.	.	PUNCT
ap-982	46	1	fig	fig	NOUN
ap-982	46	2	.	.	PUNCT
ap-982	47	1	1	1	NUM
ap-982	47	2	shows	show	VERB
ap-982	47	3	two	two	NUM
ap-982	47	4	example	example	NOUN
ap-982	47	5	cells	cell	NOUN
ap-982	47	6	.	.	PUNCT
ap-982	48	1	for	for	ADP
ap-982	48	2	these	these	DET
ap-982	48	3	cells	cell	NOUN
ap-982	48	4	,	,	PUNCT
ap-982	48	5	the	the	DET
ap-982	48	6	contours	contours	NOUN
ap-982	48	7	of	of	ADP
ap-982	48	8	the	the	DET
ap-982	48	9	nuclei	nucleus	NOUN
ap-982	48	10	are	be	AUX
ap-982	48	11	given	give	VERB
ap-982	48	12	as	as	ADP
ap-982	48	13	chaincodes	chaincode	NOUN
ap-982	48	14	.	.	PUNCT
ap-982	49	1	3	3	NUM
ap-982	49	2	methods	method	NOUN
ap-982	49	3	to	to	PART
ap-982	49	4	be	be	AUX
ap-982	49	5	able	able	ADJ
ap-982	49	6	to	to	PART
ap-982	49	7	distinguish	distinguish	VERB
ap-982	49	8	automatically	automatically	ADV
ap-982	49	9	between	between	ADP
ap-982	49	10	analysis	analysis	NOUN
ap-982	49	11	and	and	CCONJ
ap-982	49	12	reference	reference	NOUN
ap-982	49	13	squamous	squamous	ADJ
ap-982	49	14	epithelial	epithelial	ADJ
ap-982	49	15	cells	cell	NOUN
ap-982	49	16	,	,	PUNCT
ap-982	49	17	a	a	DET
ap-982	49	18	set	set	NOUN
ap-982	49	19	of	of	ADP
ap-982	49	20	potentially	potentially	ADV
ap-982	49	21	relevant	relevant	ADJ
ap-982	49	22	features	feature	NOUN
ap-982	49	23	has	have	AUX
ap-982	49	24	been	be	AUX
ap-982	49	25	implemented	implement	VERB
ap-982	49	26	.	.	PUNCT
ap-982	50	1	to	to	PART
ap-982	50	2	miminize	miminize	VERB
ap-982	50	3	the	the	DET
ap-982	50	4	risk	risk	NOUN
ap-982	50	5	of	of	ADP
ap-982	50	6	overfitting	overfitte	VERB
ap-982	50	7	during	during	ADP
ap-982	50	8	training	training	NOUN
ap-982	50	9	of	of	ADP
ap-982	50	10	a	a	DET
ap-982	50	11	classifier	classifier	NOUN
ap-982	50	12	,	,	PUNCT
ap-982	50	13	a	a	DET
ap-982	50	14	feature	feature	NOUN
ap-982	50	15	selection	selection	NOUN
ap-982	50	16	method	method	NOUN
ap-982	50	17	is	be	AUX
ap-982	50	18	performed	perform	VERB
ap-982	50	19	that	that	PRON
ap-982	50	20	can	can	AUX
ap-982	50	21	be	be	AUX
ap-982	50	22	combined	combine	VERB
ap-982	50	23	with	with	ADP
ap-982	50	24	different	different	ADJ
ap-982	50	25	objective	objective	ADJ
ap-982	50	26	functions	function	NOUN
ap-982	50	27	to	to	PART
ap-982	50	28	select	select	VERB
ap-982	50	29	good	good	ADJ
ap-982	50	30	discriminative	discriminative	NOUN
ap-982	50	31	feature	feature	NOUN
ap-982	50	32	subsets	subset	NOUN
ap-982	50	33	.	.	PUNCT
ap-982	51	1	to	to	PART
ap-982	51	2	solve	solve	VERB
ap-982	51	3	the	the	DET
ap-982	51	4	classification	classification	NOUN
ap-982	51	5	task	task	NOUN
ap-982	51	6	,	,	PUNCT
ap-982	51	7	different	different	ADJ
ap-982	51	8	classification	classification	NOUN
ap-982	51	9	algorithms	algorithm	NOUN
ap-982	51	10	can	can	AUX
ap-982	51	11	be	be	AUX
ap-982	51	12	chosen	choose	VERB
ap-982	51	13	.	.	PUNCT
ap-982	52	1	each	each	PRON
ap-982	52	2	of	of	ADP
ap-982	52	3	these	these	PRON
ap-982	52	4	has	have	VERB
ap-982	52	5	to	to	PART
ap-982	52	6	be	be	AUX
ap-982	52	7	trained	train	VERB
ap-982	52	8	on	on	ADP
ap-982	52	9	a	a	DET
ap-982	52	10	training	training	NOUN
ap-982	52	11	set	set	NOUN
ap-982	52	12	of	of	ADP
ap-982	52	13	cells	cell	NOUN
ap-982	52	14	,	,	PUNCT
ap-982	52	15	whereas	whereas	SCONJ
ap-982	52	16	the	the	DET
ap-982	52	17	classification	classification	NOUN
ap-982	52	18	rate	rate	NOUN
ap-982	52	19	is	be	AUX
ap-982	52	20	calculated	calculate	VERB
ap-982	52	21	on	on	ADP
ap-982	52	22	an	an	DET
ap-982	52	23	independent	independent	ADJ
ap-982	52	24	cell	cell	NOUN
ap-982	52	25	set	set	NOUN
ap-982	52	26	(	(	PUNCT
ap-982	52	27	validation	validation	NOUN
ap-982	52	28	set	set	NOUN
ap-982	52	29	)	)	PUNCT
ap-982	52	30	.	.	PUNCT
ap-982	53	1	the	the	DET
ap-982	53	2	process	process	NOUN
ap-982	53	3	of	of	ADP
ap-982	53	4	feature	feature	NOUN
ap-982	53	5	selection	selection	NOUN
ap-982	53	6	and	and	CCONJ
ap-982	53	7	classifier	classifier	NOUN
ap-982	53	8	generation	generation	NOUN
ap-982	53	9	is	be	AUX
ap-982	53	10	sketched	sketch	VERB
ap-982	53	11	in	in	ADP
ap-982	53	12	fig	fig	NOUN
ap-982	53	13	.	.	PUNCT
ap-982	54	1	2	2	NUM
ap-982	54	2	,	,	PUNCT
ap-982	54	3	and	and	CCONJ
ap-982	54	4	the	the	DET
ap-982	54	5	algorithms	algorithm	NOUN
ap-982	54	6	used	use	VERB
ap-982	54	7	within	within	ADP
ap-982	54	8	each	each	DET
ap-982	54	9	step	step	NOUN
ap-982	54	10	are	be	AUX
ap-982	54	11	described	describe	VERB
ap-982	54	12	below	below	ADV
ap-982	54	13	.	.	PUNCT
ap-982	55	1	the	the	DET
ap-982	55	2	distance	distance	NOUN
ap-982	55	3	measure	measure	NOUN
ap-982	55	4	used	use	VERB
ap-982	55	5	here	here	ADV
ap-982	55	6	within	within	ADP
ap-982	55	7	each	each	DET
ap-982	55	8	step	step	NOUN
ap-982	55	9	is	be	AUX
ap-982	55	10	the	the	DET
ap-982	55	11	euclidean	euclidean	ADJ
ap-982	55	12	distance	distance	NOUN
ap-982	55	13	.	.	PUNCT
ap-982	56	1	3.1	3.1	NUM
ap-982	56	2	features	feature	NOUN
ap-982	56	3	when	when	SCONJ
ap-982	56	4	performing	perform	VERB
ap-982	56	5	a	a	DET
ap-982	56	6	manual	manual	ADJ
ap-982	56	7	discrimination	discrimination	NOUN
ap-982	56	8	between	between	ADP
ap-982	56	9	analysis	analysis	NOUN
ap-982	56	10	and	and	CCONJ
ap-982	56	11	reference	reference	NOUN
ap-982	56	12	cells	cell	NOUN
ap-982	56	13	,	,	PUNCT
ap-982	56	14	cytopathologists	cytopathologist	NOUN
ap-982	56	15	consider	consider	VERB
ap-982	56	16	geometrical	geometrical	ADJ
ap-982	56	17	criteria	criterion	NOUN
ap-982	56	18	like	like	ADP
ap-982	56	19	area	area	NOUN
ap-982	56	20	of	of	ADP
ap-982	56	21	the	the	DET
ap-982	56	22	nuclei	nucleus	NOUN
ap-982	56	23	,	,	PUNCT
ap-982	56	24	shape	shape	NOUN
ap-982	56	25	,	,	PUNCT
ap-982	56	26	as	as	ADV
ap-982	56	27	well	well	ADV
ap-982	56	28	as	as	ADP
ap-982	56	29	textural	textural	ADJ
ap-982	56	30	characteristics	characteristic	NOUN
ap-982	56	31	of	of	ADP
ap-982	56	32	the	the	DET
ap-982	56	33	chromatin	chromatin	NOUN
ap-982	56	34	pattern	pattern	NOUN
ap-982	56	35	and	and	CCONJ
ap-982	56	36	the	the	DET
ap-982	56	37	overall	overall	ADJ
ap-982	56	38	amount	amount	NOUN
ap-982	56	39	of	of	ADP
ap-982	56	40	stain	stain	NOUN
ap-982	56	41	related	relate	VERB
ap-982	56	42	to	to	ADP
ap-982	56	43	the	the	DET
ap-982	56	44	size	size	NOUN
ap-982	56	45	of	of	ADP
ap-982	56	46	a	a	DET
ap-982	56	47	nucleus	nucleus	NOUN
ap-982	56	48	.	.	PUNCT
ap-982	57	1	to	to	PART
ap-982	57	2	cover	cover	VERB
ap-982	57	3	these	these	DET
ap-982	57	4	criteria	criterion	NOUN
ap-982	57	5	,	,	PUNCT
ap-982	57	6	several	several	ADJ
ap-982	57	7	morphological	morphological	ADJ
ap-982	57	8	features	feature	NOUN
ap-982	57	9	are	be	AUX
ap-982	57	10	used	use	VERB
ap-982	57	11	,	,	PUNCT
ap-982	57	12	as	as	SCONJ
ap-982	57	13	described	describe	VERB
ap-982	57	14	in	in	ADP
ap-982	57	15	[	[	X
ap-982	57	16	3	3	NUM
ap-982	57	17	]	]	PUNCT
ap-982	57	18	and	and	CCONJ
ap-982	58	1	[	[	X
ap-982	58	2	4	4	NUM
ap-982	58	3	]	]	PUNCT
ap-982	58	4	.	.	PUNCT
ap-982	59	1	these	these	DET
ap-982	59	2	comprise	comprise	NOUN
ap-982	59	3	area	area	NOUN
ap-982	59	4	,	,	PUNCT
ap-982	59	5	perimeter	perimeter	NOUN
ap-982	59	6	,	,	PUNCT
ap-982	59	7	form	form	NOUN
ap-982	59	8	factor	factor	NOUN
ap-982	59	9	,	,	PUNCT
ap-982	59	10	fourier	fourier	NOUN
ap-982	59	11	descriptor	descriptor	NOUN
ap-982	59	12	energies	energy	NOUN
ap-982	59	13	,	,	PUNCT
ap-982	59	14	and	and	CCONJ
ap-982	59	15	,	,	PUNCT
ap-982	59	16	further	far	ADV
ap-982	59	17	on	on	ADP
ap-982	59	18	,	,	PUNCT
ap-982	59	19	translation	translation	NOUN
ap-982	59	20	,	,	PUNCT
ap-982	59	21	rotation	rotation	NOUN
ap-982	59	22	and	and	CCONJ
ap-982	59	23	scale	scale	NOUN
ap-982	59	24	invariant	invariant	ADJ
ap-982	59	25	features	feature	NOUN
ap-982	59	26	.	.	PUNCT
ap-982	60	1	the	the	DET
ap-982	60	2	latter	latter	ADJ
ap-982	60	3	are	be	AUX
ap-982	60	4	computed	compute	VERB
ap-982	60	5	as	as	ADP
ap-982	60	6	combinations	combination	NOUN
ap-982	60	7	of	of	ADP
ap-982	60	8	the	the	DET
ap-982	60	9	central	central	ADJ
ap-982	60	10	2d	2d	NUM
ap-982	60	11	polynomial	polynomial	ADJ
ap-982	60	12	moments	moment	NOUN
ap-982	60	13	for	for	ADP
ap-982	60	14	the	the	DET
ap-982	60	15	nuclear	nuclear	ADJ
ap-982	60	16	mask	mask	NOUN
ap-982	60	17	.	.	PUNCT
ap-982	61	1	as	as	ADP
ap-982	61	2	textural	textural	ADJ
ap-982	61	3	features	feature	NOUN
ap-982	61	4	,	,	PUNCT
ap-982	61	5	these	these	DET
ap-982	61	6	moment	moment	NOUN
ap-982	61	7	-	-	PUNCT
ap-982	61	8	based	base	VERB
ap-982	61	9	features	feature	NOUN
ap-982	61	10	are	be	AUX
ap-982	61	11	calculated	calculate	VERB
ap-982	61	12	for	for	ADP
ap-982	61	13	a	a	DET
ap-982	61	14	density	density	NOUN
ap-982	61	15	estimation	estimation	NOUN
ap-982	61	16	of	of	ADP
ap-982	61	17	the	the	DET
ap-982	61	18	chromatin	chromatin	NOUN
ap-982	61	19	(	(	PUNCT
ap-982	61	20	extinction	extinction	NOUN
ap-982	61	21	image	image	NOUN
ap-982	61	22	)	)	PUNCT
ap-982	61	23	and	and	CCONJ
ap-982	61	24	an	an	DET
ap-982	61	25	edge	edge	NOUN
ap-982	61	26	image	image	NOUN
ap-982	61	27	of	of	ADP
ap-982	61	28	the	the	DET
ap-982	61	29	chromatin	chromatin	NOUN
ap-982	61	30	distribution	distribution	NOUN
ap-982	61	31	.	.	PUNCT
ap-982	62	1	the	the	DET
ap-982	62	2	extinction	extinction	NOUN
ap-982	62	3	image	image	NOUN
ap-982	62	4	is	be	AUX
ap-982	62	5	calculated	calculate	VERB
ap-982	62	6	on	on	ADP
ap-982	62	7	the	the	DET
ap-982	62	8	green	green	ADJ
ap-982	62	9	channel	channel	NOUN
ap-982	62	10	of	of	ADP
ap-982	62	11	the	the	DET
ap-982	62	12	original	original	ADJ
ap-982	62	13	rgb	rgb	PROPN
ap-982	62	14	image	image	NOUN
ap-982	62	15	,	,	PUNCT
ap-982	62	16	and	and	CCONJ
ap-982	62	17	the	the	DET
ap-982	62	18	edge	edge	NOUN
ap-982	62	19	image	image	NOUN
ap-982	62	20	is	be	AUX
ap-982	62	21	the	the	DET
ap-982	62	22	difference	difference	NOUN
ap-982	62	23	of	of	ADP
ap-982	62	24	the	the	DET
ap-982	62	25	extinction	extinction	NOUN
ap-982	62	26	image	image	NOUN
ap-982	62	27	and	and	CCONJ
ap-982	62	28	its	its	PRON
ap-982	62	29	median	median	ADJ
ap-982	62	30	filtered	filter	VERB
ap-982	62	31	version	version	NOUN
ap-982	62	32	.	.	PUNCT
ap-982	63	1	these	these	DET
ap-982	63	2	features	feature	NOUN
ap-982	63	3	are	be	AUX
ap-982	63	4	supplemented	supplement	VERB
ap-982	63	5	by	by	ADP
ap-982	63	6	histogram	histogram	NOUN
ap-982	63	7	features	feature	NOUN
ap-982	63	8	of	of	ADP
ap-982	63	9	the	the	DET
ap-982	63	10	topological	topological	ADJ
ap-982	63	11	gradient	gradient	NOUN
ap-982	63	12	[	[	X
ap-982	63	13	3	3	NUM
ap-982	63	14	]	]	PUNCT
ap-982	63	15	and	and	CCONJ
ap-982	63	16	particle	particle	NOUN
ap-982	63	17	-	-	PUNCT
ap-982	63	18	oriented	orient	VERB
ap-982	63	19	features	feature	NOUN
ap-982	63	20	homogeneity	homogeneity	NOUN
ap-982	63	21	,	,	PUNCT
ap-982	63	22	granularity	granularity	NOUN
ap-982	63	23	and	and	CCONJ
ap-982	63	24	distribution	distribution	NOUN
ap-982	63	25	of	of	ADP
ap-982	63	26	the	the	DET
ap-982	63	27	chromatin	chromatin	NOUN
ap-982	63	28	[	[	X
ap-982	63	29	5	5	NUM
ap-982	63	30	]	]	PUNCT
ap-982	63	31	.	.	PUNCT
ap-982	64	1	see	see	VERB
ap-982	64	2	fig	fig	NOUN
ap-982	64	3	.	.	PUNCT
ap-982	65	1	3	3	NUM
ap-982	65	2	for	for	ADP
ap-982	65	3	examples	example	NOUN
ap-982	65	4	of	of	ADP
ap-982	65	5	the	the	DET
ap-982	65	6	image	image	NOUN
ap-982	65	7	transformations	transformation	NOUN
ap-982	65	8	.	.	PUNCT
ap-982	66	1	this	this	DET
ap-982	66	2	sums	sum	VERB
ap-982	66	3	©	©	PROPN
ap-982	66	4	czech	czech	PROPN
ap-982	66	5	technical	technical	PROPN
ap-982	66	6	university	university	PROPN
ap-982	66	7	publishing	publishing	NOUN
ap-982	66	8	house	house	NOUN
ap-982	66	9	http://ctn.cvut.cz/ap/	http://ctn.cvut.cz/ap/	PROPN
ap-982	66	10	87	87	NUM
ap-982	66	11	acta	acta	PROPN
ap-982	66	12	polytechnica	polytechnica	PROPN
ap-982	66	13	vol	vol	NOUN
ap-982	66	14	.	.	PUNCT
ap-982	67	1	47	47	NUM
ap-982	67	2	no	no	NOUN
ap-982	67	3	.	.	PUNCT
ap-982	68	1	4–5/2007	4–5/2007	NUM
ap-982	68	2	fig	fig	NOUN
ap-982	68	3	.	.	PUNCT
ap-982	69	1	2	2	NUM
ap-982	69	2	:	:	PUNCT
ap-982	69	3	algorithmic	algorithmic	ADJ
ap-982	69	4	workflow	workflow	NOUN
ap-982	69	5	of	of	ADP
ap-982	69	6	feature	feature	NOUN
ap-982	69	7	subset	subset	NOUN
ap-982	69	8	selection	selection	NOUN
ap-982	69	9	and	and	CCONJ
ap-982	69	10	classifier	classifier	NOUN
ap-982	69	11	generation	generation	NOUN
ap-982	69	12	.	.	PUNCT
ap-982	70	1	the	the	DET
ap-982	70	2	different	different	ADJ
ap-982	70	3	sized	sized	ADJ
ap-982	70	4	feature	feature	NOUN
ap-982	70	5	subsets	subset	NOUN
ap-982	70	6	resulting	result	VERB
ap-982	70	7	from	from	ADP
ap-982	70	8	the	the	DET
ap-982	70	9	searching	searching	NOUN
ap-982	70	10	method	method	NOUN
ap-982	70	11	are	be	AUX
ap-982	70	12	denoted	denote	VERB
ap-982	70	13	as	as	ADP
ap-982	70	14	set_1	set_1	NOUN
ap-982	70	15	to	to	ADP
ap-982	70	16	set_p	set_p	PROPN
ap-982	70	17	,	,	PUNCT
ap-982	70	18	the	the	DET
ap-982	70	19	output	output	NOUN
ap-982	70	20	of	of	ADP
ap-982	70	21	classifier	classifier	NOUN
ap-982	70	22	training	training	NOUN
ap-982	70	23	and	and	CCONJ
ap-982	70	24	training	training	NOUN
ap-982	70	25	set	set	VERB
ap-982	70	26	classification	classification	NOUN
ap-982	70	27	as	as	ADP
ap-982	70	28	p	p	NOUN
ap-982	70	29	classification	classification	NOUN
ap-982	70	30	rates	rate	NOUN
ap-982	70	31	.	.	PUNCT
ap-982	71	1	up	up	ADP
ap-982	71	2	to	to	PART
ap-982	71	3	203	203	NUM
ap-982	71	4	features	feature	NOUN
ap-982	71	5	describing	describe	VERB
ap-982	71	6	the	the	DET
ap-982	71	7	morphology	morphology	NOUN
ap-982	71	8	of	of	ADP
ap-982	71	9	the	the	DET
ap-982	71	10	nuclei	nucleus	NOUN
ap-982	71	11	and	and	CCONJ
ap-982	71	12	their	their	PRON
ap-982	71	13	chromatin	chromatin	NOUN
ap-982	71	14	texture	texture	NOUN
ap-982	71	15	.	.	PUNCT
ap-982	72	1	3.2	3.2	NUM
ap-982	72	2	feature	feature	NOUN
ap-982	72	3	selection	selection	NOUN
ap-982	72	4	testing	test	VERB
ap-982	72	5	the	the	DET
ap-982	72	6	separability	separability	NOUN
ap-982	72	7	performance	performance	NOUN
ap-982	72	8	of	of	ADP
ap-982	72	9	each	each	DET
ap-982	72	10	possible	possible	ADJ
ap-982	72	11	feature	feature	NOUN
ap-982	72	12	subset	subset	NOUN
ap-982	72	13	is	be	AUX
ap-982	72	14	computationally	computationally	ADV
ap-982	72	15	too	too	ADV
ap-982	72	16	expensive	expensive	ADJ
ap-982	72	17	for	for	ADP
ap-982	72	18	large	large	ADJ
ap-982	72	19	feature	feature	NOUN
ap-982	72	20	sets	set	NOUN
ap-982	72	21	.	.	PUNCT
ap-982	73	1	therefore	therefore	ADV
ap-982	73	2	the	the	DET
ap-982	73	3	parameter	parameter	NOUN
ap-982	73	4	-	-	PUNCT
ap-982	73	5	free	free	ADJ
ap-982	73	6	sequential	sequential	ADJ
ap-982	73	7	forward	forward	ADV
ap-982	73	8	floating	float	VERB
ap-982	73	9	selection	selection	NOUN
ap-982	73	10	search	search	NOUN
ap-982	73	11	method	method	NOUN
ap-982	73	12	[	[	X
ap-982	73	13	6	6	NUM
ap-982	73	14	]	]	PUNCT
ap-982	73	15	is	be	AUX
ap-982	73	16	implemented	implement	VERB
ap-982	73	17	to	to	PART
ap-982	73	18	identify	identify	VERB
ap-982	73	19	feature	feature	NOUN
ap-982	73	20	subsets	subset	NOUN
ap-982	73	21	with	with	ADP
ap-982	73	22	a	a	DET
ap-982	73	23	good	good	ADJ
ap-982	73	24	separability	separability	NOUN
ap-982	73	25	performance	performance	NOUN
ap-982	73	26	for	for	ADP
ap-982	73	27	our	our	PRON
ap-982	73	28	classification	classification	NOUN
ap-982	73	29	task	task	NOUN
ap-982	73	30	.	.	PUNCT
ap-982	74	1	to	to	PART
ap-982	74	2	rate	rate	VERB
ap-982	74	3	the	the	DET
ap-982	74	4	separability	separability	NOUN
ap-982	74	5	performance	performance	NOUN
ap-982	74	6	,	,	PUNCT
ap-982	74	7	three	three	NUM
ap-982	74	8	different	different	ADJ
ap-982	74	9	objective	objective	ADJ
ap-982	74	10	functions	function	NOUN
ap-982	74	11	can	can	AUX
ap-982	74	12	be	be	AUX
ap-982	74	13	chosen	choose	VERB
ap-982	74	14	.	.	PUNCT
ap-982	75	1	based	base	VERB
ap-982	75	2	on	on	ADP
ap-982	75	3	the	the	DET
ap-982	75	4	assumption	assumption	NOUN
ap-982	75	5	of	of	ADP
ap-982	75	6	normally	normally	ADV
ap-982	75	7	distributed	distribute	VERB
ap-982	75	8	data	datum	NOUN
ap-982	75	9	these	these	PRON
ap-982	75	10	are	be	AUX
ap-982	75	11	fisher	fisher	PROPN
ap-982	75	12	’s	’s	PART
ap-982	75	13	criterion	criterion	NOUN
ap-982	76	1	[	[	X
ap-982	76	2	7	7	NUM
ap-982	76	3	]	]	PUNCT
ap-982	76	4	,	,	PUNCT
ap-982	76	5	and	and	CCONJ
ap-982	76	6	the	the	DET
ap-982	76	7	bhattacharyya	bhattacharyya	ADJ
ap-982	76	8	distance	distance	NOUN
ap-982	76	9	[	[	X
ap-982	76	10	7	7	NUM
ap-982	76	11	]	]	PUNCT
ap-982	76	12	,	,	PUNCT
ap-982	76	13	which	which	PRON
ap-982	76	14	is	be	AUX
ap-982	76	15	adapted	adapt	VERB
ap-982	76	16	to	to	ADP
ap-982	76	17	the	the	DET
ap-982	76	18	special	special	ADJ
ap-982	76	19	case	case	NOUN
ap-982	76	20	of	of	ADP
ap-982	76	21	two	two	NUM
ap-982	76	22	classes	class	NOUN
ap-982	76	23	only	only	ADV
ap-982	76	24	.	.	PUNCT
ap-982	77	1	using	use	VERB
ap-982	77	2	the	the	DET
ap-982	77	3	likelihood	likelihood	NOUN
ap-982	77	4	of	of	ADP
ap-982	77	5	feature	feature	NOUN
ap-982	77	6	vectors	vector	NOUN
ap-982	77	7	instead	instead	ADV
ap-982	77	8	of	of	ADP
ap-982	77	9	a	a	DET
ap-982	77	10	density	density	NOUN
ap-982	77	11	model	model	NOUN
ap-982	77	12	,	,	PUNCT
ap-982	77	13	mutual	mutual	ADJ
ap-982	77	14	information	information	NOUN
ap-982	77	15	[	[	X
ap-982	77	16	8	8	NUM
ap-982	77	17	]	]	PUNCT
ap-982	77	18	can	can	AUX
ap-982	77	19	be	be	AUX
ap-982	77	20	selected	select	VERB
ap-982	77	21	as	as	ADP
ap-982	77	22	the	the	DET
ap-982	77	23	third	third	ADJ
ap-982	77	24	objective	objective	ADJ
ap-982	77	25	function	function	NOUN
ap-982	77	26	.	.	PUNCT
ap-982	78	1	3.3	3.3	NUM
ap-982	78	2	classifier	classifier	NOUN
ap-982	78	3	to	to	PART
ap-982	78	4	carry	carry	VERB
ap-982	78	5	out	out	ADP
ap-982	78	6	the	the	DET
ap-982	78	7	classification	classification	NOUN
ap-982	78	8	task	task	NOUN
ap-982	78	9	,	,	PUNCT
ap-982	78	10	three	three	NUM
ap-982	78	11	classification	classification	NOUN
ap-982	78	12	algorithms	algorithm	NOUN
ap-982	78	13	are	be	AUX
ap-982	78	14	applicable	applicable	ADJ
ap-982	78	15	.	.	PUNCT
ap-982	79	1	these	these	PRON
ap-982	79	2	have	have	AUX
ap-982	79	3	been	be	AUX
ap-982	79	4	selected	select	VERB
ap-982	79	5	due	due	ADP
ap-982	79	6	to	to	ADP
ap-982	79	7	the	the	DET
ap-982	79	8	reproducibility	reproducibility	NOUN
ap-982	79	9	of	of	ADP
ap-982	79	10	the	the	DET
ap-982	79	11	classification	classification	NOUN
ap-982	79	12	results	result	NOUN
ap-982	79	13	,	,	PUNCT
ap-982	79	14	as	as	ADV
ap-982	79	15	well	well	ADV
ap-982	79	16	as	as	ADP
ap-982	79	17	the	the	DET
ap-982	79	18	possibly	possibly	ADV
ap-982	79	19	changing	change	VERB
ap-982	79	20	behavior	behavior	NOUN
ap-982	79	21	of	of	ADP
ap-982	79	22	the	the	DET
ap-982	79	23	distribution	distribution	NOUN
ap-982	79	24	of	of	ADP
ap-982	79	25	the	the	DET
ap-982	79	26	data	datum	NOUN
ap-982	79	27	during	during	ADP
ap-982	79	28	feature	feature	NOUN
ap-982	79	29	selection	selection	NOUN
ap-982	79	30	.	.	PUNCT
ap-982	80	1	for	for	ADP
ap-982	80	2	the	the	DET
ap-982	80	3	different	different	ADJ
ap-982	80	4	subsets	subset	NOUN
ap-982	80	5	of	of	ADP
ap-982	80	6	features	feature	NOUN
ap-982	80	7	during	during	ADP
ap-982	80	8	this	this	DET
ap-982	80	9	selection	selection	NOUN
ap-982	80	10	the	the	DET
ap-982	80	11	distribution	distribution	NOUN
ap-982	80	12	of	of	ADP
ap-982	80	13	the	the	DET
ap-982	80	14	data	datum	NOUN
ap-982	80	15	may	may	AUX
ap-982	80	16	fit	fit	VERB
ap-982	80	17	different	different	ADJ
ap-982	80	18	distribution	distribution	NOUN
ap-982	80	19	models	model	NOUN
ap-982	80	20	,	,	PUNCT
ap-982	80	21	including	include	VERB
ap-982	80	22	non	non	ADJ
ap-982	80	23	-	-	ADJ
ap-982	80	24	gaussian	gaussian	ADJ
ap-982	80	25	,	,	PUNCT
ap-982	80	26	multi	multi	ADJ
ap-982	80	27	-	-	ADJ
ap-982	80	28	modal	modal	ADJ
ap-982	80	29	ones	one	NOUN
ap-982	80	30	.	.	PUNCT
ap-982	81	1	furthermore	furthermore	ADV
ap-982	81	2	,	,	PUNCT
ap-982	81	3	for	for	ADP
ap-982	81	4	higher	high	ADJ
ap-982	81	5	dimensions	dimension	NOUN
ap-982	81	6	of	of	ADP
ap-982	81	7	the	the	DET
ap-982	81	8	feature	feature	NOUN
ap-982	81	9	space	space	NOUN
ap-982	81	10	,	,	PUNCT
ap-982	81	11	the	the	DET
ap-982	81	12	data	data	NOUN
ap-982	81	13	is	be	AUX
ap-982	81	14	in	in	ADP
ap-982	81	15	general	general	ADJ
ap-982	81	16	sparsely	sparsely	ADV
ap-982	81	17	distributed	distribute	VERB
ap-982	81	18	and	and	CCONJ
ap-982	81	19	less	less	ADV
ap-982	81	20	compact	compact	ADJ
ap-982	81	21	,	,	PUNCT
ap-982	81	22	which	which	PRON
ap-982	81	23	leads	lead	VERB
ap-982	81	24	to	to	ADP
ap-982	81	25	the	the	DET
ap-982	81	26	use	use	NOUN
ap-982	81	27	of	of	ADP
ap-982	81	28	non	non	ADJ
ap-982	81	29	-	-	ADJ
ap-982	81	30	parametric	parametric	ADJ
ap-982	81	31	classifiers	classifier	NOUN
ap-982	81	32	to	to	PART
ap-982	81	33	be	be	AUX
ap-982	81	34	more	more	ADV
ap-982	81	35	general	general	ADJ
ap-982	81	36	.	.	PUNCT
ap-982	82	1	as	as	ADP
ap-982	82	2	non	non	ADJ
ap-982	82	3	-	-	ADJ
ap-982	82	4	parametric	parametric	ADJ
ap-982	82	5	classifiers	classifier	NOUN
ap-982	82	6	that	that	PRON
ap-982	82	7	provide	provide	VERB
ap-982	82	8	comprehensible	comprehensible	ADJ
ap-982	82	9	decisions	decision	NOUN
ap-982	82	10	,	,	PUNCT
ap-982	82	11	the	the	DET
ap-982	82	12	knn	knn	PROPN
ap-982	82	13	algorithm	algorithm	PROPN
ap-982	82	14	and	and	CCONJ
ap-982	82	15	the	the	DET
ap-982	82	16	fuzzy	fuzzy	NOUN
ap-982	82	17	-	-	PUNCT
ap-982	82	18	knn	knn	PROPN
ap-982	82	19	are	be	AUX
ap-982	82	20	chosen	choose	VERB
ap-982	82	21	and	and	CCONJ
ap-982	82	22	,	,	PUNCT
ap-982	82	23	additionally	additionally	ADV
ap-982	82	24	,	,	PUNCT
ap-982	82	25	support	support	NOUN
ap-982	82	26	vector	vector	NOUN
ap-982	82	27	machines	machine	NOUN
ap-982	82	28	(	(	PUNCT
ap-982	82	29	svm	svm	PROPN
ap-982	82	30	)	)	PUNCT
ap-982	82	31	,	,	PUNCT
ap-982	82	32	which	which	PRON
ap-982	82	33	are	be	AUX
ap-982	82	34	known	know	VERB
ap-982	82	35	to	to	PART
ap-982	82	36	provide	provide	VERB
ap-982	82	37	a	a	DET
ap-982	82	38	good	good	ADJ
ap-982	82	39	generalization	generalization	NOUN
ap-982	82	40	capability	capability	NOUN
ap-982	82	41	.	.	PUNCT
ap-982	83	1	a	a	DET
ap-982	83	2	knn	knn	PROPN
ap-982	83	3	version	version	NOUN
ap-982	83	4	is	be	AUX
ap-982	83	5	trained	train	VERB
ap-982	83	6	that	that	PRON
ap-982	83	7	makes	make	VERB
ap-982	83	8	its	its	PRON
ap-982	83	9	decision	decision	NOUN
ap-982	83	10	as	as	ADV
ap-982	83	11	soon	soon	ADV
ap-982	83	12	as	as	SCONJ
ap-982	83	13	k	k	PROPN
ap-982	83	14	neighbors	neighbor	NOUN
ap-982	83	15	belong	belong	VERB
ap-982	83	16	to	to	ADP
ap-982	83	17	the	the	DET
ap-982	83	18	same	same	ADJ
ap-982	83	19	class	class	NOUN
ap-982	83	20	i.	i.	NOUN
ap-982	83	21	the	the	DET
ap-982	83	22	fuzzy	fuzzy	NOUN
ap-982	83	23	-	-	PUNCT
ap-982	83	24	knn	knn	PROPN
ap-982	83	25	is	be	AUX
ap-982	83	26	88	88	NUM
ap-982	83	27	©	©	PROPN
ap-982	83	28	czech	czech	PROPN
ap-982	83	29	technical	technical	PROPN
ap-982	83	30	university	university	PROPN
ap-982	83	31	publishing	publishing	NOUN
ap-982	83	32	house	house	NOUN
ap-982	83	33	http://ctn.cvut.cz/ap/	http://ctn.cvut.cz/ap/	PROPN
ap-982	83	34	acta	acta	PROPN
ap-982	83	35	polytechnica	polytechnica	PROPN
ap-982	83	36	vol	vol	NOUN
ap-982	83	37	.	.	PUNCT
ap-982	84	1	47	47	NUM
ap-982	84	2	no	no	NOUN
ap-982	84	3	.	.	PUNCT
ap-982	85	1	4–5/2007	4–5/2007	NUM
ap-982	85	2	fig	fig	NOUN
ap-982	85	3	.	.	PUNCT
ap-982	86	1	3	3	NUM
ap-982	86	2	:	:	PUNCT
ap-982	86	3	image	image	NOUN
ap-982	86	4	transformations	transformation	NOUN
ap-982	86	5	needed	need	VERB
ap-982	86	6	to	to	PART
ap-982	86	7	compute	compute	VERB
ap-982	86	8	the	the	DET
ap-982	86	9	features	feature	NOUN
ap-982	86	10	.	.	PUNCT
ap-982	87	1	from	from	ADP
ap-982	87	2	left	left	ADJ
ap-982	87	3	to	to	ADP
ap-982	87	4	right	right	NOUN
ap-982	87	5	:	:	PUNCT
ap-982	87	6	within	within	ADP
ap-982	87	7	the	the	DET
ap-982	87	8	upper	upper	ADJ
ap-982	87	9	row	row	NOUN
ap-982	87	10	the	the	DET
ap-982	87	11	original	original	ADJ
ap-982	87	12	rgb	rgb	PROPN
ap-982	87	13	image	image	NOUN
ap-982	87	14	,	,	PUNCT
ap-982	87	15	its	its	PRON
ap-982	87	16	green	green	ADJ
ap-982	87	17	channel	channel	NOUN
ap-982	87	18	,	,	PUNCT
ap-982	87	19	the	the	DET
ap-982	87	20	extinction	extinction	NOUN
ap-982	87	21	image	image	NOUN
ap-982	87	22	computed	compute	VERB
ap-982	87	23	from	from	ADP
ap-982	87	24	the	the	DET
ap-982	87	25	green	green	ADJ
ap-982	87	26	channel	channel	NOUN
ap-982	87	27	and	and	CCONJ
ap-982	87	28	the	the	DET
ap-982	87	29	edge	edge	NOUN
ap-982	87	30	image	image	NOUN
ap-982	87	31	are	be	AUX
ap-982	87	32	displayed	display	VERB
ap-982	87	33	.	.	PUNCT
ap-982	88	1	based	base	VERB
ap-982	88	2	on	on	ADP
ap-982	88	3	the	the	DET
ap-982	88	4	extinction	extinction	NOUN
ap-982	88	5	image	image	NOUN
ap-982	88	6	the	the	DET
ap-982	88	7	lower	low	ADJ
ap-982	88	8	row	row	NOUN
ap-982	88	9	contains	contain	VERB
ap-982	88	10	the	the	DET
ap-982	88	11	watershed	watershe	VERB
ap-982	88	12	regions	region	NOUN
ap-982	88	13	computed	compute	VERB
ap-982	88	14	for	for	ADP
ap-982	88	15	local	local	ADJ
ap-982	88	16	maxima	maxima	NOUN
ap-982	88	17	and	and	CCONJ
ap-982	88	18	for	for	ADP
ap-982	88	19	local	local	ADJ
ap-982	88	20	minima	minima	NOUN
ap-982	88	21	,	,	PUNCT
ap-982	88	22	each	each	PRON
ap-982	88	23	filled	fill	VERB
ap-982	88	24	with	with	ADP
ap-982	88	25	the	the	DET
ap-982	88	26	gray	gray	ADJ
ap-982	88	27	value	value	NOUN
ap-982	88	28	of	of	ADP
ap-982	88	29	the	the	DET
ap-982	88	30	local	local	ADJ
ap-982	88	31	optima	optima	NOUN
ap-982	88	32	,	,	PUNCT
ap-982	88	33	the	the	DET
ap-982	88	34	topological	topological	ADJ
ap-982	88	35	gradient	gradient	NOUN
ap-982	88	36	as	as	ADP
ap-982	88	37	the	the	DET
ap-982	88	38	difference	difference	NOUN
ap-982	88	39	of	of	ADP
ap-982	88	40	the	the	DET
ap-982	88	41	watershed	watershe	VERB
ap-982	88	42	regions	region	NOUN
ap-982	88	43	and	and	CCONJ
ap-982	88	44	a	a	DET
ap-982	88	45	three	three	NUM
ap-982	88	46	-	-	PUNCT
ap-982	88	47	color	color	NOUN
ap-982	88	48	image	image	NOUN
ap-982	88	49	to	to	PART
ap-982	88	50	partition	partition	VERB
ap-982	88	51	the	the	DET
ap-982	88	52	chromatin	chromatin	NOUN
ap-982	88	53	into	into	ADP
ap-982	88	54	darker	dark	ADJ
ap-982	88	55	and	and	CCONJ
ap-982	88	56	brighter	bright	ADJ
ap-982	88	57	particles	particle	NOUN
ap-982	88	58	basic	basic	ADJ
ap-982	88	59	feature	feature	NOUN
ap-982	88	60	set	set	VERB
ap-982	88	61	classification	classification	NOUN
ap-982	88	62	(	(	PUNCT
ap-982	88	63	a;r;o	a;r;o	NOUN
ap-982	88	64	)	)	PUNCT
ap-982	88	65	objective	objective	ADJ
ap-982	88	66	function	function	NOUN
ap-982	88	67	number	number	NOUN
ap-982	88	68	of	of	ADP
ap-982	88	69	features	feature	NOUN
ap-982	88	70	number	number	NOUN
ap-982	88	71	of	of	ADP
ap-982	88	72	neighbors	neighbor	NOUN
ap-982	88	73	morphology	morphology	VERB
ap-982	88	74	75.5	75.5	NUM
ap-982	88	75	;	;	PUNCT
ap-982	88	76	92.3	92.3	NUM
ap-982	88	77	;	;	PUNCT
ap-982	88	78	85.2	85.2	NUM
ap-982	88	79	b	b	NOUN
ap-982	88	80	14	14	NUM
ap-982	88	81	3	3	NUM
ap-982	88	82	chromatin	chromatin	NOUN
ap-982	88	83	green	green	ADJ
ap-982	88	84	92.5	92.5	NUM
ap-982	88	85	;	;	PUNCT
ap-982	88	86	95.5	95.5	NUM
ap-982	88	87	;	;	PUNCT
ap-982	88	88	94.1	94.1	NUM
ap-982	88	89	b	b	NOUN
ap-982	88	90	14	14	NUM
ap-982	88	91	1	1	NUM
ap-982	88	92	chromatin	chromatin	NOUN
ap-982	88	93	extinction	extinction	NOUN
ap-982	88	94	90.2	90.2	NUM
ap-982	88	95	;	;	PUNCT
ap-982	88	96	96.5	96.5	NUM
ap-982	88	97	;	;	PUNCT
ap-982	88	98	93.8	93.8	NUM
ap-982	88	99	b	b	SYM
ap-982	88	100	19	19	NUM
ap-982	88	101	3	3	NUM
ap-982	88	102	chromatin+moments	chromatin+moment	NOUN
ap-982	88	103	90.7	90.7	NUM
ap-982	88	104	;	;	PUNCT
ap-982	88	105	98.3	98.3	NUM
ap-982	88	106	;	;	PUNCT
ap-982	88	107	95.1	95.1	NUM
ap-982	88	108	m	m	NOUN
ap-982	88	109	2	2	NUM
ap-982	88	110	4	4	NUM
ap-982	88	111	all	all	PRON
ap-982	88	112	features	feature	VERB
ap-982	88	113	90.7	90.7	NUM
ap-982	88	114	;	;	PUNCT
ap-982	88	115	98.3	98.3	NUM
ap-982	88	116	;	;	PUNCT
ap-982	88	117	95.1	95.1	NUM
ap-982	88	118	m	m	NOUN
ap-982	88	119	2	2	NUM
ap-982	88	120	4	4	NUM
ap-982	88	121	table	table	NOUN
ap-982	88	122	1	1	NUM
ap-982	88	123	:	:	PUNCT
ap-982	88	124	results	result	NOUN
ap-982	88	125	of	of	ADP
ap-982	88	126	the	the	DET
ap-982	88	127	feature	feature	NOUN
ap-982	88	128	selection	selection	NOUN
ap-982	88	129	for	for	ADP
ap-982	88	130	each	each	DET
ap-982	88	131	basic	basic	ADJ
ap-982	88	132	feature	feature	NOUN
ap-982	88	133	set	set	NOUN
ap-982	88	134	,	,	PUNCT
ap-982	88	135	selected	select	VERB
ap-982	88	136	due	due	ADP
ap-982	88	137	to	to	ADP
ap-982	88	138	the	the	DET
ap-982	88	139	best	good	ADJ
ap-982	88	140	overall	overall	ADJ
ap-982	88	141	classification	classification	NOUN
ap-982	88	142	result	result	NOUN
ap-982	88	143	.	.	PUNCT
ap-982	89	1	the	the	DET
ap-982	89	2	classification	classification	NOUN
ap-982	89	3	results	result	NOUN
ap-982	89	4	(	(	PUNCT
ap-982	89	5	a	a	NOUN
ap-982	89	6	;	;	PUNCT
ap-982	89	7	r	r	NOUN
ap-982	89	8	;	;	PUNCT
ap-982	89	9	o	o	X
ap-982	89	10	)	)	PUNCT
ap-982	89	11	in	in	ADP
ap-982	89	12	percentages	percentage	NOUN
ap-982	89	13	for	for	ADP
ap-982	89	14	the	the	DET
ap-982	89	15	(	(	PUNCT
ap-982	89	16	a)nalysis	a)nalysis	PROPN
ap-982	89	17	,	,	PUNCT
ap-982	89	18	the	the	DET
ap-982	89	19	(	(	PUNCT
ap-982	89	20	r)eference	r)eference	NOUN
ap-982	89	21	cells	cell	NOUN
ap-982	89	22	,	,	PUNCT
ap-982	89	23	and	and	CCONJ
ap-982	89	24	the	the	DET
ap-982	89	25	(	(	PUNCT
ap-982	89	26	o)verall	o)verall	ADJ
ap-982	89	27	rate	rate	NOUN
ap-982	89	28	are	be	AUX
ap-982	89	29	given	give	VERB
ap-982	89	30	for	for	ADP
ap-982	89	31	each	each	PRON
ap-982	89	32	of	of	ADP
ap-982	89	33	the	the	DET
ap-982	89	34	basic	basic	ADJ
ap-982	89	35	sets	set	NOUN
ap-982	89	36	.	.	PUNCT
ap-982	90	1	additionally	additionally	ADV
ap-982	90	2	the	the	DET
ap-982	90	3	used	used	ADJ
ap-982	90	4	objective	objective	ADJ
ap-982	90	5	function	function	NOUN
ap-982	90	6	(	(	PUNCT
ap-982	90	7	(	(	PUNCT
ap-982	90	8	m)utual	m)utual	ADJ
ap-982	90	9	information	information	NOUN
ap-982	90	10	,	,	PUNCT
ap-982	90	11	(	(	PUNCT
ap-982	90	12	f)ishers	f)isher	NOUN
ap-982	90	13	’	'	PUNCT
ap-982	90	14	criterion	criterion	NOUN
ap-982	90	15	,	,	PUNCT
ap-982	90	16	or	or	CCONJ
ap-982	90	17	(	(	PUNCT
ap-982	90	18	b)hattacharyya	b)hattacharyya	NOUN
ap-982	90	19	distance	distance	NOUN
ap-982	90	20	)	)	PUNCT
ap-982	90	21	,	,	PUNCT
ap-982	90	22	the	the	DET
ap-982	90	23	number	number	NOUN
ap-982	90	24	of	of	ADP
ap-982	90	25	features	feature	NOUN
ap-982	90	26	and	and	CCONJ
ap-982	90	27	the	the	DET
ap-982	90	28	number	number	NOUN
ap-982	90	29	of	of	ADP
ap-982	90	30	neighbors	neighbor	NOUN
ap-982	90	31	of	of	ADP
ap-982	90	32	the	the	DET
ap-982	90	33	knn	knn	PROPN
ap-982	90	34	are	be	AUX
ap-982	90	35	noted	note	VERB
ap-982	90	36	.	.	PUNCT
ap-982	91	1	the	the	DET
ap-982	91	2	computed	compute	VERB
ap-982	91	3	optimal	optimal	ADJ
ap-982	91	4	feature	feature	NOUN
ap-982	91	5	sets	set	NOUN
ap-982	91	6	of	of	ADP
ap-982	91	7	chromatin	chromatin	NOUN
ap-982	91	8	�	�	NOUN
ap-982	91	9	moments	moment	NOUN
ap-982	91	10	and	and	CCONJ
ap-982	91	11	all	all	DET
ap-982	91	12	features	feature	NOUN
ap-982	91	13	are	be	AUX
ap-982	91	14	identical	identical	ADJ
ap-982	91	15	.	.	PUNCT
ap-982	92	1	implemented	implement	VERB
ap-982	92	2	according	accord	VERB
ap-982	92	3	to	to	ADP
ap-982	92	4	[	[	X
ap-982	92	5	9	9	NUM
ap-982	92	6	]	]	PUNCT
ap-982	92	7	.	.	PUNCT
ap-982	93	1	for	for	ADP
ap-982	93	2	this	this	PRON
ap-982	93	3	the	the	DET
ap-982	93	4	membership	membership	NOUN
ap-982	93	5	to	to	ADP
ap-982	93	6	each	each	DET
ap-982	93	7	class	class	NOUN
ap-982	93	8	is	be	AUX
ap-982	93	9	computed	compute	VERB
ap-982	93	10	,	,	PUNCT
ap-982	93	11	taking	take	VERB
ap-982	93	12	the	the	DET
ap-982	93	13	influence	influence	NOUN
ap-982	93	14	of	of	ADP
ap-982	93	15	a	a	DET
ap-982	93	16	nearest	near	ADJ
ap-982	93	17	neighbor	neighbor	NOUN
ap-982	93	18	into	into	ADP
ap-982	93	19	account	account	NOUN
ap-982	93	20	using	use	VERB
ap-982	93	21	the	the	DET
ap-982	93	22	distance	distance	NOUN
ap-982	93	23	to	to	ADP
ap-982	93	24	the	the	DET
ap-982	93	25	sample	sample	NOUN
ap-982	93	26	.	.	PUNCT
ap-982	94	1	this	this	DET
ap-982	94	2	distance	distance	NOUN
ap-982	94	3	can	can	AUX
ap-982	94	4	moreover	moreover	ADV
ap-982	94	5	be	be	AUX
ap-982	94	6	weighted	weight	VERB
ap-982	94	7	.	.	PUNCT
ap-982	95	1	for	for	ADP
ap-982	95	2	this	this	PRON
ap-982	95	3	we	we	PRON
ap-982	95	4	used	use	VERB
ap-982	95	5	the	the	DET
ap-982	95	6	proposed	propose	VERB
ap-982	95	7	version	version	NOUN
ap-982	95	8	of	of	ADP
ap-982	95	9	assigning	assign	VERB
ap-982	95	10	complete	complete	ADJ
ap-982	95	11	membership	membership	NOUN
ap-982	95	12	of	of	ADP
ap-982	95	13	the	the	DET
ap-982	95	14	neighbors	neighbor	NOUN
ap-982	95	15	into	into	ADP
ap-982	95	16	their	their	PRON
ap-982	95	17	own	own	ADJ
ap-982	95	18	class	class	NOUN
ap-982	95	19	and	and	CCONJ
ap-982	95	20	nonmembership	nonmembership	NOUN
ap-982	95	21	in	in	ADP
ap-982	95	22	all	all	DET
ap-982	95	23	other	other	ADJ
ap-982	95	24	classes	class	NOUN
ap-982	95	25	.	.	PUNCT
ap-982	96	1	the	the	DET
ap-982	96	2	second	second	ADJ
ap-982	96	3	version	version	NOUN
ap-982	96	4	of	of	ADP
ap-982	96	5	weighting	weight	VERB
ap-982	96	6	the	the	DET
ap-982	96	7	influence	influence	NOUN
ap-982	96	8	of	of	ADP
ap-982	96	9	the	the	DET
ap-982	96	10	neighbours	neighbour	NOUN
ap-982	96	11	based	base	VERB
ap-982	96	12	on	on	ADP
ap-982	96	13	their	their	PRON
ap-982	96	14	distances	distance	NOUN
ap-982	96	15	to	to	ADP
ap-982	96	16	the	the	DET
ap-982	96	17	class	class	NOUN
ap-982	96	18	means	mean	VERB
ap-982	96	19	assumes	assume	VERB
ap-982	96	20	a	a	DET
ap-982	96	21	unimodal	unimodal	ADJ
ap-982	96	22	distribution	distribution	NOUN
ap-982	96	23	of	of	ADP
ap-982	96	24	the	the	DET
ap-982	96	25	classes	class	NOUN
ap-982	96	26	with	with	ADP
ap-982	96	27	equal	equal	ADJ
ap-982	96	28	variances	variance	NOUN
ap-982	96	29	,	,	PUNCT
ap-982	96	30	which	which	PRON
ap-982	96	31	turned	turn	VERB
ap-982	96	32	out	out	ADP
ap-982	96	33	to	to	PART
ap-982	96	34	be	be	AUX
ap-982	96	35	too	too	ADV
ap-982	96	36	restrictive	restrictive	ADJ
ap-982	96	37	[	[	X
ap-982	96	38	10–11	10–11	NUM
ap-982	96	39	]	]	PUNCT
ap-982	96	40	.	.	PUNCT
ap-982	97	1	since	since	SCONJ
ap-982	97	2	the	the	DET
ap-982	97	3	third	third	ADJ
ap-982	97	4	proposed	propose	VERB
ap-982	97	5	weighting	weighting	NOUN
ap-982	97	6	increases	increase	VERB
ap-982	97	7	the	the	DET
ap-982	97	8	computational	computational	ADJ
ap-982	97	9	costs	cost	NOUN
ap-982	97	10	through	through	ADP
ap-982	97	11	a	a	DET
ap-982	97	12	search	search	NOUN
ap-982	97	13	for	for	ADP
ap-982	97	14	nearest	near	ADJ
ap-982	97	15	neighbors	neighbor	NOUN
ap-982	97	16	for	for	ADP
ap-982	97	17	each	each	DET
ap-982	97	18	nearest	near	ADJ
ap-982	97	19	neighbor	neighbor	NOUN
ap-982	97	20	of	of	ADP
ap-982	97	21	a	a	DET
ap-982	97	22	sample	sample	NOUN
ap-982	97	23	,	,	PUNCT
ap-982	97	24	it	it	PRON
ap-982	97	25	is	be	AUX
ap-982	97	26	excluded	exclude	VERB
ap-982	97	27	.	.	PUNCT
ap-982	98	1	for	for	ADP
ap-982	98	2	the	the	DET
ap-982	98	3	svm	svm	ADJ
ap-982	98	4	algorithm	algorithm	NOUN
ap-982	98	5	[	[	X
ap-982	98	6	12	12	NUM
ap-982	98	7	]	]	PUNCT
ap-982	98	8	the	the	DET
ap-982	98	9	spider	spider	NOUN
ap-982	98	10	toolbox	toolbox	NOUN
ap-982	98	11	for	for	ADP
ap-982	98	12	matlab	matlab	PROPN
ap-982	98	13	is	be	AUX
ap-982	98	14	applied	apply	VERB
ap-982	98	15	,	,	PUNCT
ap-982	98	16	interfacing	interface	VERB
ap-982	98	17	the	the	DET
ap-982	98	18	libsvm	libsvm	NOUN
ap-982	98	19	.	.	PUNCT
ap-982	99	1	the	the	DET
ap-982	99	2	rbf	rbf	PROPN
ap-982	99	3	kernel	kernel	PROPN
ap-982	99	4	is	be	AUX
ap-982	99	5	chosen	choose	VERB
ap-982	99	6	as	as	ADP
ap-982	99	7	kernel	kernel	NOUN
ap-982	99	8	function	function	NOUN
ap-982	99	9	,	,	PUNCT
ap-982	99	10	and	and	CCONJ
ap-982	99	11	the	the	DET
ap-982	99	12	classifiers	classifier	NOUN
ap-982	99	13	are	be	AUX
ap-982	99	14	trained	train	VERB
ap-982	99	15	using	use	VERB
ap-982	99	16	gridsearch	gridsearch	NOUN
ap-982	99	17	for	for	ADP
ap-982	99	18	the	the	DET
ap-982	99	19	parameter	parameter	NOUN
ap-982	99	20	search	search	NOUN
ap-982	99	21	,	,	PUNCT
ap-982	99	22	and	and	CCONJ
ap-982	99	23	cross	cross	NOUN
ap-982	99	24	-	-	NOUN
ap-982	99	25	validation	validation	NOUN
ap-982	99	26	on	on	ADP
ap-982	99	27	the	the	DET
ap-982	99	28	training	training	NOUN
ap-982	99	29	data	datum	NOUN
ap-982	99	30	.	.	PUNCT
ap-982	100	1	4	4	NUM
ap-982	100	2	experiments	experiment	NOUN
ap-982	100	3	and	and	CCONJ
ap-982	100	4	results	result	VERB
ap-982	100	5	the	the	DET
ap-982	100	6	cell	cell	NOUN
ap-982	100	7	set	set	VERB
ap-982	100	8	from	from	ADP
ap-982	100	9	section	section	NOUN
ap-982	100	10	2	2	NUM
ap-982	100	11	is	be	AUX
ap-982	100	12	split	split	VERB
ap-982	100	13	into	into	ADP
ap-982	100	14	reference	reference	NOUN
ap-982	100	15	cells	cell	NOUN
ap-982	100	16	and	and	CCONJ
ap-982	100	17	analysis	analysis	NOUN
ap-982	100	18	cells	cell	NOUN
ap-982	100	19	for	for	ADP
ap-982	100	20	the	the	DET
ap-982	100	21	training	training	NOUN
ap-982	100	22	set	set	NOUN
ap-982	100	23	and	and	CCONJ
ap-982	100	24	a	a	DET
ap-982	100	25	validation	validation	NOUN
ap-982	100	26	set	set	NOUN
ap-982	100	27	of	of	ADP
ap-982	100	28	reference	reference	NOUN
ap-982	100	29	cells	cell	NOUN
ap-982	100	30	,	,	PUNCT
ap-982	100	31	and	and	CCONJ
ap-982	100	32	analysis	analysis	NOUN
ap-982	100	33	cells	cell	NOUN
ap-982	100	34	.	.	PUNCT
ap-982	101	1	on	on	ADP
ap-982	101	2	the	the	DET
ap-982	101	3	basis	basis	NOUN
ap-982	101	4	of	of	ADP
ap-982	101	5	the	the	DET
ap-982	101	6	training	training	NOUN
ap-982	101	7	set	set	VERB
ap-982	101	8	all	all	DET
ap-982	101	9	features	feature	NOUN
ap-982	101	10	are	be	AUX
ap-982	101	11	normalized	normalize	VERB
ap-982	101	12	to	to	ADP
ap-982	101	13	the	the	DET
ap-982	101	14	range	range	NOUN
ap-982	101	15	[	[	X
ap-982	101	16	0	0	NUM
ap-982	101	17	,	,	PUNCT
ap-982	101	18	1	1	NUM
ap-982	101	19	]	]	PUNCT
ap-982	101	20	.	.	PUNCT
ap-982	102	1	firstly	firstly	ADV
ap-982	102	2	,	,	PUNCT
ap-982	102	3	feature	feature	NOUN
ap-982	102	4	selection	selection	NOUN
ap-982	102	5	was	be	AUX
ap-982	102	6	performed	perform	VERB
ap-982	102	7	.	.	PUNCT
ap-982	103	1	to	to	PART
ap-982	103	2	rate	rate	VERB
ap-982	103	3	a	a	DET
ap-982	103	4	wide	wide	ADJ
ap-982	103	5	range	range	NOUN
ap-982	103	6	of	of	ADP
ap-982	103	7	feature	feature	NOUN
ap-982	103	8	combinations	combination	NOUN
ap-982	103	9	during	during	ADP
ap-982	103	10	the	the	DET
ap-982	103	11	feature	feature	NOUN
ap-982	103	12	selection	selection	NOUN
ap-982	103	13	process	process	NOUN
ap-982	103	14	,	,	PUNCT
ap-982	103	15	the	the	DET
ap-982	103	16	features	feature	NOUN
ap-982	103	17	are	be	AUX
ap-982	103	18	grouped	group	VERB
ap-982	103	19	into	into	ADP
ap-982	103	20	five	five	NUM
ap-982	103	21	basic	basic	ADJ
ap-982	103	22	feature	feature	NOUN
ap-982	103	23	sets	set	NOUN
ap-982	103	24	.	.	PUNCT
ap-982	104	1	these	these	PRON
ap-982	104	2	are	be	AUX
ap-982	104	3	morphology	morphology	NOUN
ap-982	104	4	,	,	PUNCT
ap-982	104	5	chromatin	chromatin	NOUN
ap-982	104	6	green	green	NOUN
ap-982	104	7	and	and	CCONJ
ap-982	104	8	chromatin	chromatin	NOUN
ap-982	104	9	extinction	extinction	NOUN
ap-982	104	10	as	as	ADP
ap-982	104	11	the	the	DET
ap-982	104	12	chromatin	chromatin	NOUN
ap-982	104	13	features	feature	NOUN
ap-982	104	14	computed	compute	VERB
ap-982	104	15	for	for	ADP
ap-982	104	16	the	the	DET
ap-982	104	17	green	green	ADJ
ap-982	104	18	channel	channel	NOUN
ap-982	104	19	and	and	CCONJ
ap-982	104	20	the	the	DET
ap-982	104	21	extinction	extinction	NOUN
ap-982	104	22	image	image	NOUN
ap-982	104	23	respectively	respectively	ADV
ap-982	104	24	.	.	PUNCT
ap-982	105	1	additionally	additionally	ADV
ap-982	105	2	the	the	DET
ap-982	105	3	combination	combination	NOUN
ap-982	105	4	of	of	ADP
ap-982	105	5	the	the	DET
ap-982	105	6	two	two	NUM
ap-982	105	7	former	former	ADJ
ap-982	105	8	chromatin	chromatin	NOUN
ap-982	105	9	sets	set	NOUN
ap-982	105	10	is	be	AUX
ap-982	105	11	extended	extend	VERB
ap-982	105	12	through	through	ADP
ap-982	105	13	moment	moment	NOUN
ap-982	105	14	based	base	VERB
ap-982	105	15	features	feature	NOUN
ap-982	105	16	computed	compute	VERB
ap-982	105	17	for	for	ADP
ap-982	105	18	the	the	DET
ap-982	105	19	extinction	extinction	NOUN
ap-982	105	20	and	and	CCONJ
ap-982	105	21	the	the	DET
ap-982	105	22	edge	edge	NOUN
ap-982	105	23	texture	texture	NOUN
ap-982	105	24	image	image	NOUN
ap-982	105	25	to	to	AUX
ap-982	105	26	chromatin	chromatin	NOUN
ap-982	105	27	�	�	NOUN
ap-982	105	28	moments	moment	NOUN
ap-982	105	29	.	.	PUNCT
ap-982	106	1	and	and	CCONJ
ap-982	106	2	,	,	PUNCT
ap-982	106	3	finally	finally	ADV
ap-982	106	4	,	,	PUNCT
ap-982	106	5	within	within	ADP
ap-982	106	6	the	the	DET
ap-982	106	7	last	last	ADJ
ap-982	106	8	basic	basic	ADJ
ap-982	106	9	feature	feature	NOUN
ap-982	106	10	set	set	VERB
ap-982	106	11	all	all	DET
ap-982	106	12	features	feature	NOUN
ap-982	106	13	are	be	AUX
ap-982	106	14	included	include	VERB
ap-982	106	15	.	.	PUNCT
ap-982	107	1	feature	feature	NOUN
ap-982	107	2	selection	selection	NOUN
ap-982	107	3	was	be	AUX
ap-982	107	4	performed	perform	VERB
ap-982	107	5	on	on	ADP
ap-982	107	6	each	each	PRON
ap-982	107	7	of	of	ADP
ap-982	107	8	these	these	DET
ap-982	107	9	basic	basic	ADJ
ap-982	107	10	feature	feature	NOUN
ap-982	107	11	sets	set	VERB
ap-982	107	12	up	up	ADP
ap-982	107	13	to	to	PART
ap-982	107	14	feature	feature	VERB
ap-982	107	15	set	set	VERB
ap-982	107	16	sizes	size	NOUN
ap-982	107	17	of	of	ADP
ap-982	107	18	50	50	NUM
ap-982	107	19	features	feature	NOUN
ap-982	107	20	for	for	ADP
ap-982	107	21	each	each	DET
ap-982	107	22	objective	objective	ADJ
ap-982	107	23	function	function	NOUN
ap-982	107	24	(	(	PUNCT
ap-982	107	25	searching	search	VERB
ap-982	107	26	method	method	NOUN
ap-982	107	27	in	in	ADP
ap-982	107	28	fig	fig	NOUN
ap-982	107	29	.	.	PUNCT
ap-982	108	1	2	2	NUM
ap-982	108	2	)	)	PUNCT
ap-982	108	3	.	.	PUNCT
ap-982	109	1	to	to	PART
ap-982	109	2	determine	determine	VERB
ap-982	109	3	the	the	DET
ap-982	109	4	best	good	ADJ
ap-982	109	5	feature	feature	NOUN
ap-982	109	6	set	set	VERB
ap-982	109	7	size	size	NOUN
ap-982	109	8	of	of	ADP
ap-982	109	9	each	each	DET
ap-982	109	10	objective	objective	ADJ
ap-982	109	11	function	function	NOUN
ap-982	109	12	,	,	PUNCT
ap-982	109	13	knn	knn	PROPN
ap-982	109	14	classifiers	classifier	NOUN
ap-982	109	15	were	be	AUX
ap-982	109	16	trained	train	VERB
ap-982	109	17	for	for	ADP
ap-982	109	18	k	k	PROPN
ap-982	109	19	from	from	ADP
ap-982	109	20	1	1	NUM
ap-982	109	21	to	to	PART
ap-982	109	22	10	10	NUM
ap-982	109	23	(	(	PUNCT
ap-982	109	24	classifier	classifier	NOUN
ap-982	109	25	within	within	ADP
ap-982	109	26	the	the	DET
ap-982	109	27	block	block	NOUN
ap-982	109	28	feature	feature	NOUN
ap-982	109	29	selection	selection	NOUN
ap-982	109	30	in	in	ADP
ap-982	109	31	fig	fig	NOUN
ap-982	109	32	.	.	PUNCT
ap-982	110	1	2	2	NUM
ap-982	110	2	)	)	PUNCT
ap-982	110	3	.	.	PUNCT
ap-982	111	1	these	these	DET
ap-982	111	2	sets	set	NOUN
ap-982	111	3	are	be	AUX
ap-982	111	4	chosen	choose	VERB
ap-982	111	5	using	use	VERB
ap-982	111	6	the	the	DET
ap-982	111	7	overall	overall	ADJ
ap-982	111	8	classification	classification	NOUN
ap-982	111	9	rates	rate	NOUN
ap-982	111	10	from	from	ADP
ap-982	111	11	leave	leave	NOUN
ap-982	111	12	-	-	PUNCT
ap-982	111	13	one	one	NUM
ap-982	111	14	-	-	PUNCT
ap-982	111	15	out	out	ADP
ap-982	111	16	cross	cross	NOUN
ap-982	111	17	-	-	NOUN
ap-982	111	18	validation	validation	NOUN
ap-982	111	19	on	on	ADP
ap-982	111	20	the	the	DET
ap-982	111	21	training	training	NOUN
ap-982	111	22	set	set	VERB
ap-982	111	23	to	to	PART
ap-982	111	24	rate	rate	VERB
ap-982	111	25	the	the	DET
ap-982	111	26	feature	feature	NOUN
ap-982	111	27	subsets	subset	NOUN
ap-982	111	28	.	.	PUNCT
ap-982	112	1	table	table	NOUN
ap-982	112	2	1	1	NUM
ap-982	112	3	shows	show	VERB
ap-982	112	4	the	the	DET
ap-982	112	5	results	result	NOUN
ap-982	112	6	of	of	ADP
ap-982	112	7	the	the	DET
ap-982	112	8	best	good	ADJ
ap-982	112	9	sets	set	NOUN
ap-982	112	10	for	for	ADP
ap-982	112	11	each	each	DET
ap-982	112	12	basic	basic	ADJ
ap-982	112	13	feature	feature	NOUN
ap-982	112	14	set	set	VERB
ap-982	112	15	.	.	PUNCT
ap-982	113	1	for	for	ADP
ap-982	113	2	these	these	DET
ap-982	113	3	five	five	NUM
ap-982	113	4	best	good	ADJ
ap-982	113	5	classifiers	classifier	NOUN
ap-982	113	6	the	the	DET
ap-982	113	7	classification	classification	NOUN
ap-982	113	8	rates	rate	NOUN
ap-982	113	9	on	on	ADP
ap-982	113	10	the	the	DET
ap-982	113	11	validation	validation	NOUN
ap-982	113	12	set	set	NOUN
ap-982	113	13	were	be	AUX
ap-982	113	14	computed	compute	VERB
ap-982	113	15	with	with	ADP
ap-982	113	16	knn	knn	PROPN
ap-982	113	17	and	and	CCONJ
ap-982	113	18	fuzzy	fuzzy	ADJ
ap-982	113	19	-	-	PUNCT
ap-982	113	20	knn	knn	PROPN
ap-982	113	21	(	(	PUNCT
ap-982	113	22	table	table	NOUN
ap-982	113	23	2	2	NUM
ap-982	113	24	)	)	PUNCT
ap-982	113	25	.	.	PUNCT
ap-982	114	1	it	it	PRON
ap-982	114	2	turned	turn	VERB
ap-982	114	3	out	out	ADP
ap-982	114	4	that	that	SCONJ
ap-982	114	5	the	the	DET
ap-982	114	6	best	good	ADJ
ap-982	114	7	distinction	distinction	NOUN
ap-982	114	8	between	between	ADP
ap-982	114	9	the	the	DET
ap-982	114	10	two	two	NUM
ap-982	114	11	classes	class	NOUN
ap-982	114	12	needs	need	VERB
ap-982	114	13	two	two	NUM
ap-982	114	14	features	feature	NOUN
ap-982	114	15	only	only	ADV
ap-982	114	16	.	.	PUNCT
ap-982	115	1	these	these	PRON
ap-982	115	2	are	be	AUX
ap-982	115	3	a	a	DET
ap-982	115	4	moment	moment	NOUN
ap-982	115	5	based	base	VERB
ap-982	115	6	feature	feature	NOUN
ap-982	115	7	(	(	PUNCT
ap-982	115	8	imtote	imtote	VERB
ap-982	115	9	in	in	ADP
ap-982	115	10	[	[	X
ap-982	115	11	3	3	NUM
ap-982	115	12	]	]	PUNCT
ap-982	115	13	)	)	PUNCT
ap-982	115	14	as	as	ADP
ap-982	115	15	an	an	DET
ap-982	115	16	estimate	estimate	NOUN
ap-982	115	17	of	of	ADP
ap-982	115	18	the	the	DET
ap-982	115	19	integral	integral	ADJ
ap-982	115	20	optical	optical	ADJ
ap-982	115	21	density	density	NOUN
ap-982	115	22	,	,	PUNCT
ap-982	115	23	and	and	CCONJ
ap-982	115	24	,	,	PUNCT
ap-982	115	25	as	as	ADP
ap-982	115	26	an	an	DET
ap-982	115	27	inhomogeneity	inhomogeneity	NOUN
ap-982	115	28	measure	measure	NOUN
ap-982	115	29	of	of	ADP
ap-982	115	30	the	the	DET
ap-982	115	31	chromatin	chromatin	NOUN
ap-982	115	32	distribution	distribution	NOUN
ap-982	115	33	,	,	PUNCT
ap-982	115	34	the	the	DET
ap-982	115	35	median	median	NOUN
ap-982	115	36	of	of	ADP
ap-982	115	37	the	the	DET
ap-982	115	38	topological	topological	ADJ
ap-982	115	39	gradient	gradient	NOUN
ap-982	115	40	image	image	NOUN
ap-982	115	41	(	(	PUNCT
ap-982	115	42	rg	rg	NOUN
ap-982	115	43	in	in	ADP
ap-982	115	44	[	[	X
ap-982	115	45	3	3	NUM
ap-982	115	46	]	]	PUNCT
ap-982	115	47	)	)	PUNCT
ap-982	115	48	for	for	ADP
ap-982	115	49	the	the	DET
ap-982	115	50	green	green	ADJ
ap-982	115	51	channel	channel	PROPN
ap-982	115	52	.	.	PUNCT
ap-982	116	1	as	as	SCONJ
ap-982	116	2	svms	svms	NOUN
ap-982	116	3	are	be	AUX
ap-982	116	4	known	know	VERB
ap-982	116	5	to	to	PART
ap-982	116	6	provide	provide	VERB
ap-982	116	7	good	good	ADJ
ap-982	116	8	generalization	generalization	NOUN
ap-982	116	9	results	result	NOUN
ap-982	116	10	,	,	PUNCT
ap-982	116	11	two	two	NUM
ap-982	116	12	svms	svms	NOUN
ap-982	116	13	were	be	AUX
ap-982	116	14	trained	train	VERB
ap-982	116	15	on	on	ADP
ap-982	116	16	the	the	DET
ap-982	116	17	training	training	NOUN
ap-982	116	18	set	set	NOUN
ap-982	116	19	.	.	PUNCT
ap-982	117	1	one	one	NUM
ap-982	117	2	on	on	ADP
ap-982	117	3	the	the	DET
ap-982	117	4	whole	whole	ADJ
ap-982	117	5	set	set	NOUN
ap-982	117	6	of	of	ADP
ap-982	117	7	203	203	NUM
ap-982	117	8	features	feature	NOUN
ap-982	117	9	(	(	PUNCT
ap-982	117	10	svm203	svm203	PROPN
ap-982	117	11	)	)	PUNCT
ap-982	117	12	and	and	CCONJ
ap-982	117	13	one	one	NUM
ap-982	117	14	for	for	ADP
ap-982	117	15	the	the	DET
ap-982	117	16	two	two	NUM
ap-982	117	17	features	feature	NOUN
ap-982	117	18	from	from	ADP
ap-982	117	19	the	the	DET
ap-982	117	20	feature	feature	NOUN
ap-982	117	21	selection	selection	NOUN
ap-982	117	22	process	process	NOUN
ap-982	117	23	that	that	PRON
ap-982	117	24	showed	show	VERB
ap-982	117	25	a	a	DET
ap-982	117	26	good	good	ADJ
ap-982	117	27	discriminative	discriminative	NOUN
ap-982	117	28	power	power	NOUN
ap-982	117	29	with	with	ADP
ap-982	117	30	the	the	DET
ap-982	117	31	knn	knn	PROPN
ap-982	117	32	classifiers	classifiers	PROPN
ap-982	117	33	(	(	PUNCT
ap-982	117	34	svm2	svm2	PROPN
ap-982	117	35	)	)	PUNCT
ap-982	117	36	.	.	PUNCT
ap-982	118	1	both	both	DET
ap-982	118	2	svms	svms	NOUN
ap-982	118	3	are	be	AUX
ap-982	118	4	trained	train	VERB
ap-982	118	5	with	with	ADP
ap-982	118	6	13	13	NUM
ap-982	118	7	-	-	ADJ
ap-982	118	8	fold	fold	ADJ
ap-982	118	9	cross	cross	NOUN
ap-982	118	10	-	-	NOUN
ap-982	118	11	validation	validation	NOUN
ap-982	118	12	and	and	CCONJ
ap-982	118	13	an	an	DET
ap-982	118	14	iteratively	iteratively	ADV
ap-982	118	15	refined	refine	VERB
ap-982	118	16	grid	grid	NOUN
ap-982	118	17	-	-	PUNCT
ap-982	118	18	search	search	NOUN
ap-982	118	19	for	for	ADP
ap-982	118	20	the	the	DET
ap-982	118	21	svm	svm	ADJ
ap-982	118	22	parameter	parameter	NOUN
ap-982	118	23	width	width	NOUN
ap-982	118	24	of	of	ADP
ap-982	118	25	the	the	DET
ap-982	118	26	rbf	rbf	PROPN
ap-982	118	27	kernel	kernel	PROPN
ap-982	118	28	and	and	CCONJ
ap-982	118	29	the	the	DET
ap-982	118	30	penalty	penalty	NOUN
ap-982	118	31	term	term	NOUN
ap-982	118	32	.	.	PUNCT
ap-982	119	1	the	the	DET
ap-982	119	2	grid	grid	NOUN
ap-982	119	3	search	search	NOUN
ap-982	119	4	started	start	VERB
ap-982	119	5	at	at	ADP
ap-982	119	6	logarithmic	logarithmic	ADJ
ap-982	119	7	scale	scale	NOUN
ap-982	119	8	for	for	ADP
ap-982	119	9	both	both	DET
ap-982	119	10	parameters	parameter	NOUN
ap-982	119	11	.	.	PUNCT
ap-982	120	1	the	the	DET
ap-982	120	2	classification	classification	NOUN
ap-982	120	3	results	result	NOUN
ap-982	120	4	on	on	ADP
ap-982	120	5	the	the	DET
ap-982	120	6	validation	validation	NOUN
ap-982	120	7	set	set	NOUN
ap-982	120	8	are	be	AUX
ap-982	120	9	comparable	comparable	ADJ
ap-982	120	10	for	for	ADP
ap-982	120	11	both	both	DET
ap-982	120	12	classifiers	classifier	NOUN
ap-982	120	13	and	and	CCONJ
ap-982	120	14	also	also	ADV
ap-982	120	15	with	with	ADP
ap-982	120	16	the	the	DET
ap-982	120	17	results	result	NOUN
ap-982	120	18	of	of	ADP
ap-982	120	19	the	the	DET
ap-982	120	20	knn	knn	PROPN
ap-982	120	21	and	and	CCONJ
ap-982	120	22	the	the	DET
ap-982	120	23	fuzzy	fuzzy	ADJ
ap-982	120	24	knn	knn	PROPN
ap-982	120	25	,	,	PUNCT
ap-982	120	26	as	as	SCONJ
ap-982	120	27	shown	show	VERB
ap-982	120	28	in	in	ADP
ap-982	120	29	table	table	NOUN
ap-982	120	30	3	3	NUM
ap-982	120	31	.	.	PUNCT
ap-982	121	1	a	a	DET
ap-982	121	2	comparison	comparison	NOUN
ap-982	121	3	of	of	ADP
ap-982	121	4	the	the	DET
ap-982	121	5	two	two	NUM
ap-982	121	6	classifiers	classifier	NOUN
ap-982	121	7	with	with	ADP
ap-982	121	8	the	the	DET
ap-982	121	9	best	good	ADJ
ap-982	121	10	overall	overall	ADJ
ap-982	121	11	classification	classification	NOUN
ap-982	121	12	rate	rate	NOUN
ap-982	121	13	,	,	PUNCT
ap-982	121	14	f	f	PROPN
ap-982	121	15	-	-	PUNCT
ap-982	121	16	knn	knn	PROPN
ap-982	121	17	and	and	CCONJ
ap-982	121	18	svm2	svm2	PROPN
ap-982	121	19	,	,	PUNCT
ap-982	121	20	shows	show	VERB
ap-982	121	21	a	a	DET
ap-982	121	22	higher	high	ADJ
ap-982	121	23	detection	detection	NOUN
ap-982	121	24	rate	rate	NOUN
ap-982	121	25	of	of	ADP
ap-982	121	26	the	the	DET
ap-982	121	27	diagnostically	diagnostically	ADV
ap-982	121	28	relevant	relevant	ADJ
ap-982	121	29	analysis	analysis	NOUN
ap-982	121	30	cells	cell	NOUN
ap-982	121	31	for	for	ADP
ap-982	121	32	f	f	PROPN
ap-982	121	33	-	-	PUNCT
ap-982	121	34	knn	knn	PROPN
ap-982	121	35	,	,	PUNCT
ap-982	121	36	but	but	CCONJ
ap-982	121	37	with	with	ADP
ap-982	121	38	a	a	DET
ap-982	121	39	lower	low	ADJ
ap-982	121	40	predictive	predictive	ADJ
ap-982	121	41	value	value	NOUN
ap-982	121	42	and	and	CCONJ
ap-982	121	43	higher	high	ADJ
ap-982	121	44	computational	computational	ADJ
ap-982	121	45	costs	cost	NOUN
ap-982	121	46	compared	compare	VERB
ap-982	121	47	to	to	ADP
ap-982	121	48	svm2	svm2	PROPN
ap-982	121	49	.	.	PUNCT
ap-982	122	1	table	table	NOUN
ap-982	122	2	4	4	NUM
ap-982	122	3	lists	list	VERB
ap-982	122	4	the	the	DET
ap-982	122	5	number	number	NOUN
ap-982	122	6	of	of	ADP
ap-982	122	7	misclassified	misclassified	ADJ
ap-982	122	8	cells	cell	NOUN
ap-982	122	9	and	and	CCONJ
ap-982	122	10	the	the	DET
ap-982	122	11	predictive	predictive	ADJ
ap-982	122	12	values	value	NOUN
ap-982	122	13	in	in	ADP
ap-982	122	14	comparison	comparison	NOUN
ap-982	122	15	for	for	ADP
ap-982	122	16	these	these	DET
ap-982	122	17	two	two	NUM
ap-982	122	18	classifiers	classifier	NOUN
ap-982	122	19	.	.	PUNCT
ap-982	123	1	the	the	DET
ap-982	123	2	predictive	predictive	ADJ
ap-982	123	3	value	value	NOUN
ap-982	123	4	of	of	ADP
ap-982	123	5	each	each	DET
ap-982	123	6	class	class	NOUN
ap-982	123	7	is	be	AUX
ap-982	123	8	calculated	calculate	VERB
ap-982	123	9	as	as	ADP
ap-982	123	10	the	the	DET
ap-982	123	11	ratio	ratio	NOUN
ap-982	123	12	of	of	ADP
ap-982	123	13	the	the	DET
ap-982	123	14	number	number	NOUN
ap-982	123	15	of	of	ADP
ap-982	123	16	correctly	correctly	ADV
ap-982	123	17	classified	classified	ADJ
ap-982	123	18	cells	cell	NOUN
ap-982	123	19	of	of	ADP
ap-982	123	20	the	the	DET
ap-982	123	21	class	class	NOUN
ap-982	123	22	to	to	ADP
ap-982	123	23	the	the	DET
ap-982	123	24	sum	sum	NOUN
ap-982	123	25	of	of	ADP
ap-982	123	26	the	the	DET
ap-982	123	27	number	number	NOUN
ap-982	123	28	of	of	ADP
ap-982	123	29	correctly	correctly	ADV
ap-982	123	30	classified	classified	ADJ
ap-982	123	31	cells	cell	NOUN
ap-982	123	32	of	of	ADP
ap-982	123	33	this	this	DET
ap-982	123	34	class	class	NOUN
ap-982	123	35	and	and	CCONJ
ap-982	123	36	the	the	DET
ap-982	123	37	number	number	NOUN
ap-982	123	38	of	of	ADP
ap-982	123	39	cells	cell	NOUN
ap-982	123	40	falsely	falsely	ADV
ap-982	123	41	classified	classify	VERB
ap-982	123	42	into	into	ADP
ap-982	123	43	this	this	DET
ap-982	123	44	class	class	NOUN
ap-982	123	45	.	.	PUNCT
ap-982	124	1	5	5	NUM
ap-982	124	2	discussion	discussion	NOUN
ap-982	124	3	for	for	ADP
ap-982	124	4	the	the	DET
ap-982	124	5	different	different	ADJ
ap-982	124	6	basic	basic	ADJ
ap-982	124	7	feature	feature	NOUN
ap-982	124	8	sets	set	VERB
ap-982	124	9	the	the	DET
ap-982	124	10	classification	classification	NOUN
ap-982	124	11	results	result	NOUN
ap-982	124	12	of	of	ADP
ap-982	124	13	the	the	DET
ap-982	124	14	knn	knn	PROPN
ap-982	124	15	for	for	ADP
ap-982	124	16	the	the	DET
ap-982	124	17	best	good	ADJ
ap-982	124	18	feature	feature	NOUN
ap-982	124	19	sets	set	NOUN
ap-982	124	20	vary	vary	VERB
ap-982	124	21	slightly	slightly	ADV
ap-982	124	22	.	.	PUNCT
ap-982	125	1	it	it	PRON
ap-982	125	2	can	can	AUX
ap-982	125	3	be	be	AUX
ap-982	125	4	seen	see	VERB
ap-982	125	5	that	that	SCONJ
ap-982	125	6	chromatin	chromatin	NOUN
ap-982	125	7	features	feature	NOUN
ap-982	125	8	provide	provide	VERB
ap-982	125	9	a	a	DET
ap-982	125	10	good	good	ADJ
ap-982	125	11	separability	separability	NOUN
ap-982	125	12	performance	performance	NOUN
ap-982	125	13	,	,	PUNCT
ap-982	125	14	whereas	whereas	SCONJ
ap-982	125	15	only	only	ADV
ap-982	125	16	the	the	DET
ap-982	125	17	geometrical	geometrical	ADJ
ap-982	125	18	features	feature	NOUN
ap-982	125	19	within	within	ADP
ap-982	125	20	the	the	DET
ap-982	125	21	basic	basic	ADJ
ap-982	125	22	set	set	NOUN
ap-982	125	23	morphology	morphology	NOUN
ap-982	125	24	do	do	AUX
ap-982	125	25	not	not	PART
ap-982	125	26	distinguish	distinguish	VERB
ap-982	125	27	the	the	DET
ap-982	125	28	two	two	NUM
ap-982	125	29	classes	class	NOUN
ap-982	125	30	sufficiently	sufficiently	ADV
ap-982	125	31	.	.	PUNCT
ap-982	126	1	©	©	PROPN
ap-982	126	2	czech	czech	PROPN
ap-982	126	3	technical	technical	PROPN
ap-982	126	4	university	university	PROPN
ap-982	126	5	publishing	publishing	NOUN
ap-982	126	6	house	house	NOUN
ap-982	126	7	http://ctn.cvut.cz/ap/	http://ctn.cvut.cz/ap/	PROPN
ap-982	126	8	89	89	NUM
ap-982	126	9	acta	acta	PROPN
ap-982	126	10	polytechnica	polytechnica	PROPN
ap-982	126	11	vol	vol	NOUN
ap-982	126	12	.	.	PUNCT
ap-982	127	1	47	47	NUM
ap-982	127	2	no	no	NOUN
ap-982	127	3	.	.	PUNCT
ap-982	128	1	4–5/2007	4–5/2007	NUM
ap-982	128	2	basic	basic	ADJ
ap-982	128	3	feature	feature	NOUN
ap-982	128	4	set	set	VERB
ap-982	128	5	knn	knn	PROPN
ap-982	128	6	(	(	PUNCT
ap-982	128	7	a	a	NOUN
ap-982	128	8	;	;	PUNCT
ap-982	128	9	r	r	NOUN
ap-982	128	10	;	;	PUNCT
ap-982	128	11	o	o	NOUN
ap-982	128	12	)	)	PUNCT
ap-982	128	13	f	f	X
ap-982	128	14	-	-	PUNCT
ap-982	128	15	knn	knn	VERB
ap-982	128	16	-	-	PUNCT
ap-982	128	17	a	a	DET
ap-982	128	18	(	(	PUNCT
ap-982	128	19	a	a	NOUN
ap-982	128	20	;	;	PUNCT
ap-982	128	21	r	r	NOUN
ap-982	128	22	;	;	PUNCT
ap-982	128	23	o	o	X
ap-982	128	24	)	)	PUNCT
ap-982	128	25	morphology	morphology	NOUN
ap-982	128	26	75.3	75.3	NUM
ap-982	128	27	;	;	PUNCT
ap-982	128	28	92.5	92.5	NUM
ap-982	128	29	;	;	PUNCT
ap-982	128	30	85.4	85.4	NUM
ap-982	128	31	77.7	77.7	NUM
ap-982	128	32	;	;	PUNCT
ap-982	128	33	88.5	88.5	NUM
ap-982	128	34	;	;	PUNCT
ap-982	128	35	83.2	83.2	NUM
ap-982	128	36	chromatin	chromatin	NOUN
ap-982	128	37	green	green	NOUN
ap-982	128	38	91.9	91.9	NUM
ap-982	128	39	;	;	PUNCT
ap-982	128	40	97.5	97.5	NUM
ap-982	128	41	;	;	PUNCT
ap-982	128	42	94.7	94.7	NUM
ap-982	128	43	91.9	91.9	NUM
ap-982	128	44	;	;	PUNCT
ap-982	128	45	97.5	97.5	NUM
ap-982	128	46	;	;	PUNCT
ap-982	128	47	94.7	94.7	NUM
ap-982	128	48	chromatin	chromatin	NOUN
ap-982	128	49	extinction	extinction	NOUN
ap-982	128	50	93.9	93.9	NUM
ap-982	128	51	;	;	PUNCT
ap-982	128	52	95.5	95.5	NUM
ap-982	128	53	;	;	PUNCT
ap-982	128	54	94.7	94.7	NUM
ap-982	128	55	91.9	91.9	NUM
ap-982	128	56	;	;	PUNCT
ap-982	128	57	94.5	94.5	NUM
ap-982	128	58	;	;	PUNCT
ap-982	128	59	93.2	93.2	NUM
ap-982	128	60	chromatin+moments/	chromatin+moments/	NOUN
ap-982	128	61	all	all	PRON
ap-982	128	62	features	feature	VERB
ap-982	128	63	92.4	92.4	NUM
ap-982	128	64	;	;	PUNCT
ap-982	128	65	98.5	98.5	NUM
ap-982	128	66	;	;	PUNCT
ap-982	128	67	95.5	95.5	NUM
ap-982	128	68	93.9	93.9	NUM
ap-982	128	69	;	;	PUNCT
ap-982	128	70	97.5	97.5	NUM
ap-982	128	71	;	;	PUNCT
ap-982	128	72	95.7	95.7	NUM
ap-982	128	73	table	table	NOUN
ap-982	128	74	2	2	NUM
ap-982	128	75	:	:	PUNCT
ap-982	128	76	classification	classification	NOUN
ap-982	128	77	results	result	NOUN
ap-982	128	78	of	of	ADP
ap-982	128	79	the	the	DET
ap-982	128	80	validation	validation	NOUN
ap-982	128	81	set	set	NOUN
ap-982	128	82	,	,	PUNCT
ap-982	128	83	computed	compute	VERB
ap-982	128	84	for	for	ADP
ap-982	128	85	the	the	DET
ap-982	128	86	feature	feature	NOUN
ap-982	128	87	sets	set	NOUN
ap-982	128	88	and	and	CCONJ
ap-982	128	89	the	the	DET
ap-982	128	90	number	number	NOUN
ap-982	128	91	of	of	ADP
ap-982	128	92	neighbors	neighbor	NOUN
ap-982	128	93	of	of	ADP
ap-982	128	94	the	the	DET
ap-982	128	95	classifiers	classifier	NOUN
ap-982	128	96	within	within	ADP
ap-982	128	97	table	table	NOUN
ap-982	128	98	1	1	NUM
ap-982	128	99	.	.	PUNCT
ap-982	129	1	the	the	DET
ap-982	129	2	classification	classification	NOUN
ap-982	129	3	results	result	NOUN
ap-982	129	4	(	(	PUNCT
ap-982	129	5	a	a	NOUN
ap-982	129	6	;	;	PUNCT
ap-982	129	7	r	r	NOUN
ap-982	129	8	;	;	PUNCT
ap-982	129	9	o	o	X
ap-982	129	10	)	)	PUNCT
ap-982	129	11	are	be	AUX
ap-982	129	12	computed	compute	VERB
ap-982	129	13	for	for	ADP
ap-982	129	14	the	the	DET
ap-982	129	15	classifiers	classifier	NOUN
ap-982	129	16	knn	knn	PROPN
ap-982	129	17	and	and	CCONJ
ap-982	129	18	f	f	X
ap-982	129	19	-	-	PUNCT
ap-982	129	20	knn	knn	PROPN
ap-982	129	21	and	and	CCONJ
ap-982	129	22	are	be	AUX
ap-982	129	23	given	give	VERB
ap-982	129	24	as	as	ADP
ap-982	129	25	percentages	percentage	NOUN
ap-982	129	26	for	for	ADP
ap-982	129	27	the	the	DET
ap-982	129	28	(	(	PUNCT
ap-982	129	29	a)nalysis	a)nalysis	PROPN
ap-982	129	30	,	,	PUNCT
ap-982	129	31	the	the	DET
ap-982	129	32	(	(	PUNCT
ap-982	129	33	r)eference	r)eference	NOUN
ap-982	129	34	cells	cell	NOUN
ap-982	129	35	,	,	PUNCT
ap-982	129	36	and	and	CCONJ
ap-982	129	37	the	the	DET
ap-982	129	38	(	(	PUNCT
ap-982	129	39	o)verall	o)verall	ADJ
ap-982	129	40	rate	rate	NOUN
ap-982	129	41	.	.	PUNCT
ap-982	130	1	classifiers	classifier	NOUN
ap-982	130	2	analysis	analysis	NOUN
ap-982	130	3	cells	cell	NOUN
ap-982	130	4	reference	reference	NOUN
ap-982	130	5	cells	cell	NOUN
ap-982	130	6	overall	overall	ADJ
ap-982	130	7	rate	rate	NOUN
ap-982	130	8	knn	knn	PROPN
ap-982	130	9	92.4	92.4	NUM
ap-982	130	10	98.5	98.5	NUM
ap-982	130	11	95.5	95.5	NUM
ap-982	130	12	f	f	PROPN
ap-982	130	13	-	-	PUNCT
ap-982	130	14	knn	knn	PROPN
ap-982	130	15	93.9	93.9	NUM
ap-982	130	16	97.5	97.5	NUM
ap-982	130	17	95.7	95.7	NUM
ap-982	130	18	svm	svm	NOUN
ap-982	130	19	2	2	NUM
ap-982	130	20	92.9	92.9	NUM
ap-982	130	21	98.5	98.5	NUM
ap-982	130	22	95.7	95.7	NUM
ap-982	130	23	svm203	svm203	PROPN
ap-982	130	24	93.9	93.9	NUM
ap-982	130	25	97.0	97.0	NUM
ap-982	130	26	95.5	95.5	NUM
ap-982	130	27	table	table	NOUN
ap-982	130	28	3	3	NUM
ap-982	130	29	:	:	PUNCT
ap-982	130	30	the	the	DET
ap-982	130	31	detection	detection	NOUN
ap-982	130	32	rates	rate	NOUN
ap-982	130	33	of	of	ADP
ap-982	130	34	analysis	analysis	NOUN
ap-982	130	35	cells	cell	NOUN
ap-982	130	36	,	,	PUNCT
ap-982	130	37	reference	reference	NOUN
ap-982	130	38	cells	cell	NOUN
ap-982	130	39	,	,	PUNCT
ap-982	130	40	and	and	CCONJ
ap-982	130	41	the	the	DET
ap-982	130	42	overall	overall	ADJ
ap-982	130	43	rates	rate	NOUN
ap-982	130	44	of	of	ADP
ap-982	130	45	the	the	DET
ap-982	130	46	validation	validation	NOUN
ap-982	130	47	set	set	NOUN
ap-982	130	48	are	be	AUX
ap-982	130	49	shown	show	VERB
ap-982	130	50	in	in	ADP
ap-982	130	51	percentages	percentage	NOUN
ap-982	130	52	for	for	ADP
ap-982	130	53	the	the	DET
ap-982	130	54	different	different	ADJ
ap-982	130	55	classifiers	classifier	NOUN
ap-982	130	56	.	.	PUNCT
ap-982	131	1	knn	knn	PROPN
ap-982	131	2	,	,	PUNCT
ap-982	131	3	f	f	PROPN
ap-982	131	4	-	-	PUNCT
ap-982	131	5	knn	knn	PROPN
ap-982	131	6	and	and	CCONJ
ap-982	131	7	svm2	svm2	PROPN
ap-982	131	8	use	use	VERB
ap-982	131	9	two	two	NUM
ap-982	131	10	features	feature	NOUN
ap-982	131	11	only	only	ADV
ap-982	131	12	,	,	PUNCT
ap-982	131	13	svm203	svm203	PROPN
ap-982	131	14	classifies	classify	VERB
ap-982	131	15	according	accord	VERB
ap-982	131	16	to	to	ADP
ap-982	131	17	all	all	DET
ap-982	131	18	features	feature	NOUN
ap-982	131	19	.	.	PUNCT
ap-982	132	1	classifier	classifier	NOUN
ap-982	132	2	f	f	PROPN
ap-982	132	3	-	-	PUNCT
ap-982	132	4	knn	knn	PROPN
ap-982	132	5	svm2	svm2	PROPN
ap-982	132	6	analysis	analysis	NOUN
ap-982	132	7	cells	cell	NOUN
ap-982	132	8	186	186	NUM
ap-982	132	9	(	(	PUNCT
ap-982	132	10	198	198	NUM
ap-982	132	11	)	)	PUNCT
ap-982	132	12	97.4	97.4	NUM
ap-982	132	13	%	%	NOUN
ap-982	132	14	184	184	NUM
ap-982	132	15	(	(	PUNCT
ap-982	132	16	198	198	NUM
ap-982	132	17	)	)	PUNCT
ap-982	132	18	98.4	98.4	NUM
ap-982	132	19	%	%	NOUN
ap-982	132	20	reference	reference	NOUN
ap-982	132	21	cells	cell	NOUN
ap-982	132	22	195	195	NUM
ap-982	132	23	(	(	PUNCT
ap-982	132	24	200	200	NUM
ap-982	132	25	)	)	PUNCT
ap-982	132	26	94.2	94.2	NUM
ap-982	132	27	%	%	NOUN
ap-982	132	28	197	197	NUM
ap-982	132	29	(	(	PUNCT
ap-982	132	30	200	200	NUM
ap-982	132	31	)	)	SYM
ap-982	132	32	93.4	93.4	NUM
ap-982	132	33	%	%	NOUN
ap-982	132	34	table	table	NOUN
ap-982	132	35	4	4	NUM
ap-982	132	36	:	:	PUNCT
ap-982	132	37	absolute	absolute	ADJ
ap-982	132	38	number	number	NOUN
ap-982	132	39	of	of	ADP
ap-982	132	40	correctly	correctly	ADV
ap-982	132	41	classified	classified	ADJ
ap-982	132	42	cells	cell	NOUN
ap-982	132	43	within	within	ADP
ap-982	132	44	each	each	DET
ap-982	132	45	class	class	NOUN
ap-982	132	46	and	and	CCONJ
ap-982	132	47	the	the	DET
ap-982	132	48	predictive	predictive	ADJ
ap-982	132	49	values	value	NOUN
ap-982	132	50	in	in	ADP
ap-982	132	51	percentages	percentage	NOUN
ap-982	132	52	for	for	ADP
ap-982	132	53	f	f	PROPN
ap-982	132	54	-	-	PUNCT
ap-982	132	55	knn	knn	PROPN
ap-982	132	56	and	and	CCONJ
ap-982	132	57	svm2	svm2	PROPN
ap-982	132	58	.	.	PUNCT
ap-982	133	1	the	the	DET
ap-982	133	2	total	total	ADJ
ap-982	133	3	number	number	NOUN
ap-982	133	4	of	of	ADP
ap-982	133	5	cells	cell	NOUN
ap-982	133	6	in	in	ADP
ap-982	133	7	each	each	DET
ap-982	133	8	class	class	NOUN
ap-982	133	9	is	be	AUX
ap-982	133	10	noted	note	VERB
ap-982	133	11	in	in	ADP
ap-982	133	12	brackets	bracket	NOUN
ap-982	133	13	.	.	PUNCT
ap-982	134	1	to	to	PART
ap-982	134	2	achieve	achieve	VERB
ap-982	134	3	the	the	DET
ap-982	134	4	best	good	ADJ
ap-982	134	5	overall	overall	ADJ
ap-982	134	6	classification	classification	NOUN
ap-982	134	7	rate	rate	NOUN
ap-982	134	8	,	,	PUNCT
ap-982	134	9	only	only	ADV
ap-982	134	10	two	two	NUM
ap-982	134	11	features	feature	NOUN
ap-982	134	12	are	be	AUX
ap-982	134	13	needed	need	VERB
ap-982	134	14	,	,	PUNCT
ap-982	134	15	which	which	PRON
ap-982	134	16	results	result	VERB
ap-982	134	17	in	in	ADP
ap-982	134	18	low	low	ADJ
ap-982	134	19	computational	computational	ADJ
ap-982	134	20	costs	cost	NOUN
ap-982	134	21	.	.	PUNCT
ap-982	135	1	these	these	DET
ap-982	135	2	features	feature	NOUN
ap-982	135	3	also	also	ADV
ap-982	135	4	are	be	AUX
ap-982	135	5	consistent	consistent	ADJ
ap-982	135	6	with	with	ADP
ap-982	135	7	the	the	DET
ap-982	135	8	visual	visual	ADJ
ap-982	135	9	criteria	criterion	NOUN
ap-982	135	10	used	use	VERB
ap-982	135	11	by	by	ADP
ap-982	135	12	cytopathologists	cytopathologist	NOUN
ap-982	135	13	(	(	PUNCT
ap-982	135	14	section	section	NOUN
ap-982	135	15	3	3	NUM
ap-982	135	16	)	)	PUNCT
ap-982	135	17	,	,	PUNCT
ap-982	135	18	which	which	PRON
ap-982	135	19	simplifies	simplify	VERB
ap-982	135	20	an	an	DET
ap-982	135	21	understanding	understanding	NOUN
ap-982	135	22	of	of	ADP
ap-982	135	23	the	the	DET
ap-982	135	24	computed	compute	VERB
ap-982	135	25	decisions	decision	NOUN
ap-982	135	26	.	.	PUNCT
ap-982	136	1	validating	validate	VERB
ap-982	136	2	these	these	DET
ap-982	136	3	two	two	NUM
ap-982	136	4	features	feature	NOUN
ap-982	136	5	on	on	ADP
ap-982	136	6	the	the	DET
ap-982	136	7	validation	validation	NOUN
ap-982	136	8	set	set	NOUN
ap-982	136	9	using	use	VERB
ap-982	136	10	knn	knn	PROPN
ap-982	136	11	and	and	CCONJ
ap-982	136	12	f	f	PROPN
ap-982	136	13	-	-	PUNCT
ap-982	136	14	knn	knn	PROPN
ap-982	136	15	,	,	PUNCT
ap-982	136	16	as	as	ADV
ap-982	136	17	well	well	ADV
ap-982	136	18	as	as	ADP
ap-982	136	19	svm2	svm2	NOUN
ap-982	136	20	,	,	PUNCT
ap-982	136	21	results	result	NOUN
ap-982	136	22	in	in	ADP
ap-982	136	23	comparable	comparable	ADJ
ap-982	136	24	classification	classification	NOUN
ap-982	136	25	rates	rate	NOUN
ap-982	136	26	between	between	ADP
ap-982	136	27	the	the	DET
ap-982	136	28	classifiers	classifier	NOUN
ap-982	136	29	.	.	PUNCT
ap-982	137	1	these	these	DET
ap-982	137	2	rates	rate	NOUN
ap-982	137	3	on	on	ADP
ap-982	137	4	the	the	DET
ap-982	137	5	validation	validation	NOUN
ap-982	137	6	set	set	NOUN
ap-982	137	7	are	be	AUX
ap-982	137	8	slightly	slightly	ADV
ap-982	137	9	better	well	ADJ
ap-982	137	10	than	than	ADP
ap-982	137	11	those	those	DET
ap-982	137	12	classification	classification	NOUN
ap-982	137	13	results	result	NOUN
ap-982	137	14	achieved	achieve	VERB
ap-982	137	15	with	with	ADP
ap-982	137	16	the	the	DET
ap-982	137	17	knn	knn	PROPN
ap-982	137	18	classifier	classifier	NOUN
ap-982	137	19	after	after	ADP
ap-982	137	20	feature	feature	NOUN
ap-982	137	21	selection	selection	NOUN
ap-982	137	22	on	on	ADP
ap-982	137	23	the	the	DET
ap-982	137	24	training	training	NOUN
ap-982	137	25	set	set	NOUN
ap-982	137	26	.	.	PUNCT
ap-982	138	1	this	this	PRON
ap-982	138	2	is	be	AUX
ap-982	138	3	due	due	ADJ
ap-982	138	4	to	to	ADP
ap-982	138	5	the	the	DET
ap-982	138	6	distribution	distribution	NOUN
ap-982	138	7	of	of	ADP
ap-982	138	8	the	the	DET
ap-982	138	9	validation	validation	NOUN
ap-982	138	10	set	set	VERB
ap-982	138	11	within	within	ADP
ap-982	138	12	the	the	DET
ap-982	138	13	feature	feature	NOUN
ap-982	138	14	space	space	NOUN
ap-982	138	15	.	.	PUNCT
ap-982	139	1	training	train	VERB
ap-982	139	2	a	a	DET
ap-982	139	3	svm	svm	NOUN
ap-982	139	4	on	on	ADP
ap-982	139	5	all	all	DET
ap-982	139	6	features	feature	NOUN
ap-982	139	7	for	for	ADP
ap-982	139	8	the	the	DET
ap-982	139	9	possibility	possibility	NOUN
ap-982	139	10	of	of	ADP
ap-982	139	11	detecting	detect	VERB
ap-982	139	12	another	another	DET
ap-982	139	13	relation	relation	NOUN
ap-982	139	14	between	between	ADP
ap-982	139	15	the	the	DET
ap-982	139	16	features	feature	NOUN
ap-982	139	17	than	than	SCONJ
ap-982	139	18	was	be	AUX
ap-982	139	19	tested	test	VERB
ap-982	139	20	during	during	ADP
ap-982	139	21	feature	feature	NOUN
ap-982	139	22	selection	selection	NOUN
ap-982	139	23	did	do	AUX
ap-982	139	24	not	not	PART
ap-982	139	25	result	result	VERB
ap-982	139	26	in	in	ADP
ap-982	139	27	better	well	ADJ
ap-982	139	28	classification	classification	NOUN
ap-982	139	29	results	result	NOUN
ap-982	139	30	.	.	PUNCT
ap-982	140	1	however	however	ADV
ap-982	140	2	,	,	PUNCT
ap-982	140	3	these	these	DET
ap-982	140	4	results	result	NOUN
ap-982	140	5	are	be	AUX
ap-982	140	6	still	still	ADV
ap-982	140	7	comparable	comparable	ADJ
ap-982	140	8	to	to	ADP
ap-982	140	9	the	the	DET
ap-982	140	10	classifiers	classifier	NOUN
ap-982	140	11	using	use	VERB
ap-982	140	12	two	two	NUM
ap-982	140	13	features	feature	NOUN
ap-982	140	14	only	only	ADV
ap-982	140	15	.	.	PUNCT
ap-982	141	1	the	the	DET
ap-982	141	2	quantity	quantity	NOUN
ap-982	141	3	of	of	ADP
ap-982	141	4	training	training	NOUN
ap-982	141	5	data	datum	NOUN
ap-982	141	6	may	may	AUX
ap-982	141	7	still	still	ADV
ap-982	141	8	be	be	AUX
ap-982	141	9	too	too	ADV
ap-982	141	10	low	low	ADJ
ap-982	141	11	for	for	ADP
ap-982	141	12	this	this	PRON
ap-982	141	13	.	.	PUNCT
ap-982	142	1	in	in	ADP
ap-982	142	2	consequence	consequence	NOUN
ap-982	142	3	,	,	PUNCT
ap-982	142	4	to	to	PART
ap-982	142	5	be	be	AUX
ap-982	142	6	sure	sure	ADJ
ap-982	142	7	not	not	PART
ap-982	142	8	to	to	PART
ap-982	142	9	have	have	AUX
ap-982	142	10	performed	perform	VERB
ap-982	142	11	an	an	DET
ap-982	142	12	overfitting	overfitting	NOUN
ap-982	142	13	or	or	CCONJ
ap-982	142	14	to	to	PART
ap-982	142	15	have	have	AUX
ap-982	142	16	used	use	VERB
ap-982	142	17	a	a	DET
ap-982	142	18	training	training	NOUN
ap-982	142	19	set	set	NOUN
ap-982	142	20	that	that	PRON
ap-982	142	21	is	be	AUX
ap-982	142	22	not	not	PART
ap-982	142	23	representative	representative	ADJ
ap-982	142	24	,	,	PUNCT
ap-982	142	25	these	these	DET
ap-982	142	26	classifiers	classifier	NOUN
ap-982	142	27	have	have	VERB
ap-982	142	28	to	to	PART
ap-982	142	29	be	be	AUX
ap-982	142	30	tested	test	VERB
ap-982	142	31	with	with	ADP
ap-982	142	32	cells	cell	NOUN
ap-982	142	33	from	from	ADP
ap-982	142	34	specimens	specimen	NOUN
ap-982	142	35	that	that	PRON
ap-982	142	36	are	be	AUX
ap-982	142	37	different	different	ADJ
ap-982	142	38	from	from	ADP
ap-982	142	39	the	the	DET
ap-982	142	40	specimens	specimen	NOUN
ap-982	142	41	of	of	ADP
ap-982	142	42	the	the	DET
ap-982	142	43	training	training	NOUN
ap-982	142	44	set	set	NOUN
ap-982	142	45	.	.	PUNCT
ap-982	143	1	furthermore	furthermore	ADV
ap-982	143	2	,	,	PUNCT
ap-982	143	3	there	there	PRON
ap-982	143	4	is	be	VERB
ap-982	143	5	a	a	DET
ap-982	143	6	persistent	persistent	ADJ
ap-982	143	7	difference	difference	NOUN
ap-982	143	8	between	between	ADP
ap-982	143	9	the	the	DET
ap-982	143	10	classification	classification	NOUN
ap-982	143	11	results	result	NOUN
ap-982	143	12	of	of	ADP
ap-982	143	13	the	the	DET
ap-982	143	14	reference	reference	NOUN
ap-982	143	15	cells	cell	NOUN
ap-982	143	16	and	and	CCONJ
ap-982	143	17	analysis	analysis	NOUN
ap-982	143	18	cells	cell	NOUN
ap-982	143	19	for	for	ADP
ap-982	143	20	the	the	DET
ap-982	143	21	knn	knn	PROPN
ap-982	143	22	methods	method	NOUN
ap-982	143	23	,	,	PUNCT
ap-982	143	24	and	and	CCONJ
ap-982	143	25	also	also	ADV
ap-982	143	26	for	for	ADP
ap-982	143	27	the	the	DET
ap-982	143	28	svms	svms	NOUN
ap-982	143	29	.	.	PUNCT
ap-982	144	1	the	the	DET
ap-982	144	2	major	major	ADJ
ap-982	144	3	reason	reason	NOUN
ap-982	144	4	for	for	ADP
ap-982	144	5	this	this	PRON
ap-982	144	6	may	may	AUX
ap-982	144	7	be	be	AUX
ap-982	144	8	the	the	DET
ap-982	144	9	different	different	ADJ
ap-982	144	10	number	number	NOUN
ap-982	144	11	of	of	ADP
ap-982	144	12	training	training	NOUN
ap-982	144	13	cells	cell	NOUN
ap-982	144	14	in	in	ADP
ap-982	144	15	the	the	DET
ap-982	144	16	classes	class	NOUN
ap-982	144	17	.	.	PUNCT
ap-982	145	1	therefore	therefore	ADV
ap-982	145	2	the	the	DET
ap-982	145	3	analysis	analysis	NOUN
ap-982	145	4	cells	cell	NOUN
ap-982	145	5	should	should	AUX
ap-982	145	6	be	be	AUX
ap-982	145	7	supplemented	supplement	VERB
ap-982	145	8	with	with	ADP
ap-982	145	9	new	new	ADJ
ap-982	145	10	prototypes	prototype	NOUN
ap-982	145	11	.	.	PUNCT
ap-982	146	1	in	in	ADP
ap-982	146	2	conclusion	conclusion	NOUN
ap-982	146	3	,	,	PUNCT
ap-982	146	4	it	it	PRON
ap-982	146	5	can	can	AUX
ap-982	146	6	be	be	AUX
ap-982	146	7	stated	state	VERB
ap-982	146	8	that	that	SCONJ
ap-982	146	9	the	the	DET
ap-982	146	10	classification	classification	NOUN
ap-982	146	11	results	result	VERB
ap-982	146	12	on	on	ADP
ap-982	146	13	the	the	DET
ap-982	146	14	398	398	NUM
ap-982	146	15	validation	validation	NOUN
ap-982	146	16	cells	cell	NOUN
ap-982	146	17	result	result	VERB
ap-982	146	18	in	in	ADP
ap-982	146	19	overall	overall	ADJ
ap-982	146	20	classification	classification	NOUN
ap-982	146	21	results	result	NOUN
ap-982	146	22	between	between	ADP
ap-982	146	23	95.5	95.5	NUM
ap-982	146	24	%	%	NOUN
ap-982	146	25	and	and	CCONJ
ap-982	146	26	95.7	95.7	NUM
ap-982	146	27	%	%	NOUN
ap-982	146	28	for	for	ADP
ap-982	146	29	the	the	DET
ap-982	146	30	different	different	ADJ
ap-982	146	31	classifiers	classifier	NOUN
ap-982	146	32	,	,	PUNCT
ap-982	146	33	thus	thus	ADV
ap-982	146	34	providing	provide	VERB
ap-982	146	35	good	good	ADJ
ap-982	146	36	separability	separability	NOUN
ap-982	146	37	between	between	ADP
ap-982	146	38	the	the	DET
ap-982	146	39	analysis	analysis	NOUN
ap-982	146	40	cells	cell	NOUN
ap-982	146	41	and	and	CCONJ
ap-982	146	42	the	the	DET
ap-982	146	43	reference	reference	NOUN
ap-982	146	44	cells	cell	NOUN
ap-982	146	45	.	.	PUNCT
ap-982	147	1	while	while	SCONJ
ap-982	147	2	the	the	DET
ap-982	147	3	classification	classification	NOUN
ap-982	147	4	results	result	NOUN
ap-982	147	5	of	of	ADP
ap-982	147	6	the	the	DET
ap-982	147	7	different	different	ADJ
ap-982	147	8	classification	classification	NOUN
ap-982	147	9	algorithms	algorithm	NOUN
ap-982	147	10	are	be	AUX
ap-982	147	11	comparable	comparable	ADJ
ap-982	147	12	,	,	PUNCT
ap-982	147	13	we	we	PRON
ap-982	147	14	can	can	AUX
ap-982	147	15	choose	choose	VERB
ap-982	147	16	the	the	DET
ap-982	147	17	final	final	ADJ
ap-982	147	18	classifier	classifier	NOUN
ap-982	147	19	according	accord	VERB
ap-982	147	20	to	to	ADP
ap-982	147	21	the	the	DET
ap-982	147	22	best	good	ADJ
ap-982	147	23	classification	classification	NOUN
ap-982	147	24	results	result	NOUN
ap-982	147	25	of	of	ADP
ap-982	147	26	either	either	CCONJ
ap-982	147	27	analysis	analysis	NOUN
ap-982	147	28	cells	cell	NOUN
ap-982	147	29	or	or	CCONJ
ap-982	147	30	reference	reference	NOUN
ap-982	147	31	cells	cell	NOUN
ap-982	147	32	,	,	PUNCT
ap-982	147	33	or	or	CCONJ
ap-982	147	34	on	on	ADP
ap-982	147	35	the	the	DET
ap-982	147	36	basis	basis	NOUN
ap-982	147	37	of	of	ADP
ap-982	147	38	computational	computational	ADJ
ap-982	147	39	costs	cost	NOUN
ap-982	147	40	.	.	PUNCT
ap-982	148	1	acknowledgments	acknowledgment	NOUN
ap-982	148	2	i	i	PRON
ap-982	148	3	would	would	AUX
ap-982	148	4	like	like	VERB
ap-982	148	5	to	to	PART
ap-982	148	6	thank	thank	VERB
ap-982	148	7	prof	prof	NOUN
ap-982	148	8	.	.	PUNCT
ap-982	149	1	dr.-ing	dr.-e	VERB
ap-982	149	2	.	.	PUNCT
ap-982	150	1	t.	t.	NOUN
ap-982	150	2	aach	aach	NOUN
ap-982	150	3	and	and	CCONJ
ap-982	150	4	prof	prof	PROPN
ap-982	150	5	.	.	PUNCT
ap-982	151	1	emer	emer	PROPN
ap-982	151	2	.	.	PUNCT
ap-982	152	1	dr.-ing	dr.-e	VERB
ap-982	152	2	.	.	PUNCT
ap-982	153	1	d.	d.	PROPN
ap-982	153	2	meyer	meyer	PROPN
ap-982	153	3	-	-	PUNCT
ap-982	153	4	ebrecht	ebrecht	PROPN
ap-982	153	5	,	,	PUNCT
ap-982	153	6	institute	institute	NOUN
ap-982	153	7	of	of	ADP
ap-982	153	8	imaging	imaging	NOUN
ap-982	153	9	and	and	CCONJ
ap-982	153	10	computer	computer	NOUN
ap-982	153	11	vision	vision	NOUN
ap-982	153	12	,	,	PUNCT
ap-982	153	13	rwth	rwth	PROPN
ap-982	153	14	aachen	aachen	PROPN
ap-982	153	15	university	university	PROPN
ap-982	153	16	,	,	PUNCT
ap-982	153	17	germany	germany	PROPN
ap-982	153	18	,	,	PUNCT
ap-982	153	19	for	for	ADP
ap-982	153	20	many	many	ADJ
ap-982	153	21	insightful	insightful	ADJ
ap-982	153	22	discussions	discussion	NOUN
ap-982	153	23	,	,	PUNCT
ap-982	153	24	and	and	CCONJ
ap-982	153	25	i	i	PRON
ap-982	153	26	would	would	AUX
ap-982	153	27	like	like	VERB
ap-982	153	28	to	to	PART
ap-982	153	29	thank	thank	VERB
ap-982	153	30	prof	prof	PROPN
ap-982	153	31	.	.	PUNCT
ap-982	154	1	dr	dr	PROPN
ap-982	154	2	.	.	PROPN
ap-982	154	3	med	med	PROPN
ap-982	154	4	.	.	PUNCT
ap-982	154	5	a.	a.	PROPN
ap-982	154	6	böcking	böcking	PROPN
ap-982	154	7	,	,	PUNCT
ap-982	154	8	institute	institute	NOUN
ap-982	154	9	for	for	ADP
ap-982	154	10	cytopathology	cytopathology	NOUN
ap-982	154	11	,	,	PUNCT
ap-982	154	12	heinrich	heinrich	PROPN
ap-982	154	13	-	-	PUNCT
ap-982	154	14	heine	heine	PROPN
ap-982	154	15	-	-	PUNCT
ap-982	154	16	university	university	NOUN
ap-982	154	17	,	,	PUNCT
ap-982	154	18	düsseldorf	düsseldorf	PROPN
ap-982	154	19	,	,	PUNCT
ap-982	154	20	germany	germany	PROPN
ap-982	154	21	,	,	PUNCT
ap-982	154	22	for	for	ADP
ap-982	154	23	providing	provide	VERB
ap-982	154	24	the	the	DET
ap-982	154	25	dataset	dataset	NOUN
ap-982	154	26	and	and	CCONJ
ap-982	154	27	for	for	ADP
ap-982	154	28	his	his	PRON
ap-982	154	29	teaching	teaching	NOUN
ap-982	154	30	about	about	ADP
ap-982	154	31	the	the	DET
ap-982	154	32	medical	medical	ADJ
ap-982	154	33	background	background	NOUN
ap-982	154	34	.	.	PUNCT
ap-982	155	1	the	the	DET
ap-982	155	2	project	project	NOUN
ap-982	155	3	is	be	AUX
ap-982	155	4	supported	support	VERB
ap-982	155	5	by	by	ADP
ap-982	155	6	the	the	DET
ap-982	155	7	viktor	viktor	NOUN
ap-982	155	8	and	and	CCONJ
ap-982	155	9	mirka	mirka	PROPN
ap-982	155	10	pollak	pollak	PROPN
ap-982	155	11	fund	fund	PROPN
ap-982	155	12	for	for	ADP
ap-982	155	13	biomedical	biomedical	ADJ
ap-982	155	14	engineering	engineering	NOUN
ap-982	155	15	.	.	PUNCT
ap-982	156	1	references	reference	NOUN
ap-982	156	2	[	[	X
ap-982	156	3	1	1	NUM
ap-982	156	4	]	]	SYM
ap-982	156	5	böcking	böcking	NOUN
ap-982	156	6	,	,	PUNCT
ap-982	156	7	a.	a.	PROPN
ap-982	156	8	,	,	PUNCT
ap-982	156	9	et	et	PROPN
ap-982	156	10	al	al	PROPN
ap-982	156	11	.	.	PUNCT
ap-982	156	12	:	:	PUNCT
ap-982	157	1	consensus	consensus	NOUN
ap-982	157	2	report	report	NOUN
ap-982	157	3	of	of	ADP
ap-982	157	4	the	the	DET
ap-982	157	5	esacp	esacp	PROPN
ap-982	157	6	task	task	PROPN
ap-982	157	7	force	force	NOUN
ap-982	157	8	on	on	ADP
ap-982	157	9	standardization	standardization	NOUN
ap-982	157	10	of	of	ADP
ap-982	157	11	diagnostic	diagnostic	ADJ
ap-982	157	12	dna	dna	PROPN
ap-982	157	13	image	image	NOUN
ap-982	157	14	cytometry	cytometry	NOUN
ap-982	157	15	.	.	PUNCT
ap-982	158	1	anal	anal	ADJ
ap-982	158	2	.	.	PUNCT
ap-982	158	3	cell	cell	NOUN
ap-982	158	4	pathol	pathol	NOUN
ap-982	158	5	.	.	PUNCT
ap-982	158	6	,	,	PUNCT
ap-982	158	7	vol	vol	NOUN
ap-982	158	8	.	.	PROPN
ap-982	158	9	8	8	NUM
ap-982	158	10	(	(	PUNCT
ap-982	158	11	1995	1995	NUM
ap-982	158	12	)	)	PUNCT
ap-982	158	13	,	,	PUNCT
ap-982	158	14	no	no	INTJ
ap-982	158	15	.	.	NOUN
ap-982	158	16	1	1	NUM
ap-982	158	17	,	,	PUNCT
ap-982	158	18	p.	p.	NOUN
ap-982	158	19	67–74	67–74	NUM
ap-982	158	20	.	.	PUNCT
ap-982	159	1	[	[	X
ap-982	159	2	2	2	NUM
ap-982	159	3	]	]	X
ap-982	159	4	sun	sun	NOUN
ap-982	159	5	,	,	PUNCT
ap-982	159	6	x.	x.	PROPN
ap-982	159	7	r.	r.	PROPN
ap-982	159	8	,	,	PUNCT
ap-982	159	9	wanq	wanq	PROPN
ap-982	159	10	,	,	PUNCT
ap-982	159	11	j.	j.	PROPN
ap-982	159	12	,	,	PUNCT
ap-982	159	13	garner	garner	PROPN
ap-982	159	14	,	,	PUNCT
ap-982	159	15	d.	d.	PROPN
ap-982	159	16	,	,	PUNCT
ap-982	159	17	palcic	palcic	PROPN
ap-982	159	18	,	,	PUNCT
ap-982	159	19	b.	b.	NOUN
ap-982	159	20	:	:	PUNCT
ap-982	159	21	detection	detection	NOUN
ap-982	159	22	of	of	ADP
ap-982	159	23	cervical	cervical	ADJ
ap-982	159	24	cancer	cancer	NOUN
ap-982	159	25	and	and	CCONJ
ap-982	159	26	high	high	ADJ
ap-982	159	27	grade	grade	NOUN
ap-982	159	28	neoplastic	neoplastic	ADJ
ap-982	159	29	lesions	lesion	NOUN
ap-982	159	30	by	by	ADP
ap-982	159	31	a	a	DET
ap-982	159	32	combination	combination	NOUN
ap-982	159	33	of	of	ADP
ap-982	159	34	liquid	liquid	NOUN
ap-982	159	35	-	-	PUNCT
ap-982	159	36	based	base	VERB
ap-982	159	37	sampling	sampling	NOUN
ap-982	159	38	preparation	preparation	NOUN
ap-982	159	39	and	and	CCONJ
ap-982	159	40	dna	dna	NOUN
ap-982	159	41	measurements	measurement	NOUN
ap-982	159	42	using	use	VERB
ap-982	159	43	automated	automate	VERB
ap-982	159	44	image	image	NOUN
ap-982	159	45	cytometry	cytometry	NOUN
ap-982	159	46	.	.	PUNCT
ap-982	160	1	cellular	cellular	ADJ
ap-982	160	2	oncology	oncology	NOUN
ap-982	160	3	,	,	PUNCT
ap-982	160	4	vol	vol	NOUN
ap-982	160	5	.	.	PROPN
ap-982	160	6	27	27	NUM
ap-982	160	7	(	(	PUNCT
ap-982	160	8	2005	2005	NUM
ap-982	160	9	)	)	PUNCT
ap-982	160	10	,	,	PUNCT
ap-982	160	11	no	no	INTJ
ap-982	160	12	.	.	NOUN
ap-982	160	13	8	8	NUM
ap-982	160	14	,	,	PUNCT
ap-982	160	15	p.	p.	NOUN
ap-982	160	16	33–41	33–41	NUM
ap-982	160	17	.	.	PUNCT
ap-982	161	1	[	[	X
ap-982	161	2	3	3	NUM
ap-982	161	3	]	]	PUNCT
ap-982	161	4	rodenacker	rodenacker	NOUN
ap-982	161	5	,	,	PUNCT
ap-982	161	6	k.	k.	PROPN
ap-982	161	7	,	,	PUNCT
ap-982	161	8	bengtsson	bengtsson	PROPN
ap-982	161	9	,	,	PUNCT
ap-982	161	10	e.	e.	PROPN
ap-982	161	11	:	:	PUNCT
ap-982	161	12	a	a	DET
ap-982	161	13	feature	feature	NOUN
ap-982	161	14	set	set	VERB
ap-982	161	15	for	for	ADP
ap-982	161	16	cytometry	cytometry	NOUN
ap-982	161	17	on	on	ADP
ap-982	161	18	digitized	digitize	VERB
ap-982	161	19	microscopic	microscopic	ADJ
ap-982	161	20	images	image	NOUN
ap-982	161	21	.	.	PUNCT
ap-982	162	1	anal	anal	ADJ
ap-982	162	2	cell	cell	NOUN
ap-982	162	3	pathol	pathol	NOUN
ap-982	162	4	,	,	PUNCT
ap-982	162	5	vol	vol	NOUN
ap-982	162	6	.	.	PROPN
ap-982	163	1	25	25	NUM
ap-982	163	2	(	(	PUNCT
ap-982	163	3	2003	2003	NUM
ap-982	163	4	)	)	PUNCT
ap-982	163	5	,	,	PUNCT
ap-982	163	6	no	no	INTJ
ap-982	163	7	.	.	NOUN
ap-982	163	8	1	1	NUM
ap-982	163	9	,	,	PUNCT
ap-982	163	10	p.	p.	NOUN
ap-982	163	11	1–36	1–36	PROPN
ap-982	163	12	.	.	PUNCT
ap-982	164	1	[	[	X
ap-982	164	2	4	4	NUM
ap-982	164	3	]	]	X
ap-982	164	4	suk	suk	NOUN
ap-982	164	5	,	,	PUNCT
ap-982	164	6	t.	t.	NOUN
ap-982	164	7	,	,	PUNCT
ap-982	164	8	flusser	flusser	NOUN
ap-982	164	9	,	,	PUNCT
ap-982	164	10	j.	j.	PROPN
ap-982	164	11	:	:	PUNCT
ap-982	164	12	graph	graph	NOUN
ap-982	164	13	method	method	NOUN
ap-982	164	14	for	for	ADP
ap-982	164	15	generating	generate	VERB
ap-982	164	16	affine	affine	NOUN
ap-982	164	17	moment	moment	NOUN
ap-982	164	18	invariants	invariant	NOUN
ap-982	164	19	.	.	PUNCT
ap-982	165	1	procs	procs	PROPN
ap-982	165	2	icpr	icpr	PROPN
ap-982	165	3	,	,	PUNCT
ap-982	165	4	vol	vol	NOUN
ap-982	165	5	.	.	PROPN
ap-982	165	6	2	2	NUM
ap-982	165	7	(	(	PUNCT
ap-982	165	8	2004	2004	NUM
ap-982	165	9	)	)	PUNCT
ap-982	165	10	,	,	PUNCT
ap-982	165	11	p.	p.	NOUN
ap-982	165	12	192–195	192–195	NUM
ap-982	165	13	.	.	PUNCT
ap-982	166	1	[	[	X
ap-982	166	2	5	5	NUM
ap-982	166	3	]	]	X
ap-982	166	4	young	young	ADJ
ap-982	166	5	,	,	PUNCT
ap-982	166	6	i.	i.	PROPN
ap-982	166	7	t.	t.	PROPN
ap-982	166	8	,	,	PUNCT
ap-982	166	9	verbeek	verbeek	NOUN
ap-982	166	10	,	,	PUNCT
ap-982	166	11	p.	p.	PROPN
ap-982	166	12	w.	w.	PROPN
ap-982	166	13	,	,	PUNCT
ap-982	166	14	mayall	mayall	PROPN
ap-982	166	15	,	,	PUNCT
ap-982	166	16	b.	b.	PROPN
ap-982	166	17	h.	h.	PROPN
ap-982	166	18	:	:	PUNCT
ap-982	166	19	characterization	characterization	NOUN
ap-982	166	20	of	of	ADP
ap-982	166	21	chromatin	chromatin	NOUN
ap-982	166	22	distribution	distribution	NOUN
ap-982	166	23	in	in	ADP
ap-982	166	24	cell	cell	NOUN
ap-982	166	25	nuclei	nucleus	NOUN
ap-982	166	26	.	.	PUNCT
ap-982	167	1	cytometry	cytometry	NOUN
ap-982	167	2	,	,	PUNCT
ap-982	167	3	vol	vol	NOUN
ap-982	167	4	.	.	PROPN
ap-982	167	5	7	7	NUM
ap-982	167	6	(	(	PUNCT
ap-982	167	7	1986	1986	NUM
ap-982	167	8	)	)	PUNCT
ap-982	167	9	,	,	PUNCT
ap-982	167	10	no	no	INTJ
ap-982	167	11	.	.	NOUN
ap-982	167	12	5	5	NUM
ap-982	167	13	,	,	PUNCT
ap-982	167	14	p.	p.	NOUN
ap-982	167	15	467–474	467–474	NUM
ap-982	167	16	.	.	PUNCT
ap-982	168	1	[	[	X
ap-982	168	2	6	6	NUM
ap-982	168	3	]	]	X
ap-982	168	4	pudil	pudil	NOUN
ap-982	168	5	,	,	PUNCT
ap-982	168	6	p.	p.	PROPN
ap-982	168	7	,	,	PUNCT
ap-982	168	8	novovičová	novovičová	ADV
ap-982	168	9	,	,	PUNCT
ap-982	168	10	j.	j.	PROPN
ap-982	168	11	,	,	PUNCT
ap-982	168	12	kittler	kittler	PROPN
ap-982	168	13	,	,	PUNCT
ap-982	168	14	j.	j.	PROPN
ap-982	168	15	:	:	PUNCT
ap-982	168	16	floating	float	VERB
ap-982	168	17	search	search	NOUN
ap-982	168	18	methods	method	NOUN
ap-982	168	19	in	in	ADP
ap-982	168	20	feature	feature	NOUN
ap-982	168	21	selection	selection	NOUN
ap-982	168	22	.	.	PUNCT
ap-982	169	1	pattern	pattern	NOUN
ap-982	169	2	recognition	recognition	NOUN
ap-982	169	3	letters	letter	NOUN
ap-982	169	4	,	,	PUNCT
ap-982	169	5	vol	vol	NOUN
ap-982	169	6	.	.	PROPN
ap-982	169	7	15	15	NUM
ap-982	169	8	(	(	PUNCT
ap-982	169	9	1994	1994	NUM
ap-982	169	10	)	)	PUNCT
ap-982	169	11	,	,	PUNCT
ap-982	169	12	no	no	INTJ
ap-982	169	13	.	.	NOUN
ap-982	169	14	11	11	NUM
ap-982	169	15	,	,	PUNCT
ap-982	169	16	p.	p.	NOUN
ap-982	169	17	1119–1125	1119–1125	NUM
ap-982	169	18	.	.	PUNCT
ap-982	170	1	[	[	X
ap-982	170	2	7	7	NUM
ap-982	170	3	]	]	PUNCT
ap-982	170	4	fukunaga	fukunaga	PROPN
ap-982	170	5	,	,	PUNCT
ap-982	170	6	k.	k.	PROPN
ap-982	170	7	:	:	PUNCT
ap-982	170	8	statistical	statistical	ADJ
ap-982	170	9	pattern	pattern	NOUN
ap-982	170	10	recognition	recognition	NOUN
ap-982	170	11	.	.	PUNCT
ap-982	171	1	academic	academic	ADJ
ap-982	171	2	press	press	NOUN
ap-982	171	3	,	,	PUNCT
ap-982	171	4	1990	1990	NUM
ap-982	171	5	.	.	PUNCT
ap-982	172	1	[	[	X
ap-982	172	2	8	8	NUM
ap-982	172	3	]	]	X
ap-982	172	4	pluim	pluim	NOUN
ap-982	172	5	,	,	PUNCT
ap-982	172	6	j.	j.	PROPN
ap-982	172	7	p.	p.	PROPN
ap-982	172	8	w.	w.	PROPN
ap-982	172	9	,	,	PUNCT
ap-982	172	10	maintz	maintz	PROPN
ap-982	172	11	,	,	PUNCT
ap-982	172	12	j.	j.	PROPN
ap-982	172	13	b.	b.	PROPN
ap-982	172	14	a.	a.	PROPN
ap-982	172	15	,	,	PUNCT
ap-982	172	16	viergever	viergever	ADV
ap-982	172	17	,	,	PUNCT
ap-982	172	18	m.	m.	NOUN
ap-982	172	19	a.	a.	PROPN
ap-982	172	20	:	:	PUNCT
ap-982	172	21	mutual	mutual	ADJ
ap-982	172	22	information	information	NOUN
ap-982	172	23	based	base	VERB
ap-982	172	24	registration	registration	NOUN
ap-982	172	25	of	of	ADP
ap-982	172	26	medical	medical	ADJ
ap-982	172	27	images	image	NOUN
ap-982	172	28	:	:	PUNCT
ap-982	172	29	a	a	DET
ap-982	172	30	survey	survey	NOUN
ap-982	172	31	.	.	PUNCT
ap-982	173	1	ieee	ieee	PROPN
ap-982	173	2	trans	trans	PROPN
ap-982	173	3	.	.	PROPN
ap-982	173	4	med	med	PROPN
ap-982	173	5	imaging	imaging	PROPN
ap-982	173	6	,	,	PUNCT
ap-982	173	7	vol	vol	NOUN
ap-982	173	8	.	.	PROPN
ap-982	173	9	22	22	NUM
ap-982	173	10	(	(	PUNCT
ap-982	173	11	2003	2003	NUM
ap-982	173	12	)	)	PUNCT
ap-982	173	13	,	,	PUNCT
ap-982	173	14	no	no	INTJ
ap-982	173	15	.	.	NOUN
ap-982	173	16	8	8	NUM
ap-982	173	17	,	,	PUNCT
ap-982	173	18	p.	p.	NOUN
ap-982	173	19	986–1004	986–1004	NUM
ap-982	173	20	.	.	PUNCT
ap-982	174	1	[	[	X
ap-982	174	2	9	9	NUM
ap-982	174	3	]	]	SYM
ap-982	174	4	keller	keller	PROPN
ap-982	174	5	,	,	PUNCT
ap-982	174	6	j.	j.	PROPN
ap-982	174	7	m.	m.	PROPN
ap-982	174	8	,	,	PUNCT
ap-982	174	9	gray	gray	ADJ
ap-982	174	10	,	,	PUNCT
ap-982	174	11	m.	m.	NOUN
ap-982	174	12	r.	r.	PROPN
ap-982	174	13	,	,	PUNCT
ap-982	174	14	givens	givens	PROPN
ap-982	174	15	,	,	PUNCT
ap-982	174	16	j.	j.	PROPN
ap-982	174	17	a.	a.	PROPN
ap-982	174	18	:	:	PUNCT
ap-982	174	19	a	a	DET
ap-982	174	20	fuzzy	fuzzy	ADJ
ap-982	174	21	k	k	ADJ
ap-982	174	22	-	-	PUNCT
ap-982	174	23	nearest	near	ADJ
ap-982	174	24	neighbor	neighbor	NOUN
ap-982	174	25	algorithm	algorithm	NOUN
ap-982	174	26	.	.	PUNCT
ap-982	175	1	ieee	ieee	PROPN
ap-982	175	2	trans	trans	PROPN
ap-982	175	3	.	.	PUNCT
ap-982	176	1	system	system	NOUN
ap-982	176	2	,	,	PUNCT
ap-982	176	3	man	man	NOUN
ap-982	176	4	,	,	PUNCT
ap-982	176	5	and	and	CCONJ
ap-982	176	6	cybernetics	cybernetic	NOUN
ap-982	176	7	,	,	PUNCT
ap-982	176	8	vol	vol	NOUN
ap-982	176	9	.	.	PUNCT
ap-982	177	1	smc-15	smc-15	NOUN
ap-982	177	2	(	(	PUNCT
ap-982	177	3	1985	1985	NUM
ap-982	177	4	)	)	PUNCT
ap-982	177	5	,	,	PUNCT
ap-982	177	6	no	no	INTJ
ap-982	177	7	.	.	NOUN
ap-982	177	8	4	4	NUM
ap-982	177	9	,	,	PUNCT
ap-982	177	10	p.	p.	NOUN
ap-982	177	11	580–585	580–585	NUM
ap-982	177	12	.	.	PUNCT
ap-982	178	1	[	[	X
ap-982	178	2	10	10	NUM
ap-982	178	3	]	]	X
ap-982	178	4	schneider	schneider	NOUN
ap-982	178	5	,	,	PUNCT
ap-982	178	6	t.	t.	PROPN
ap-982	178	7	e.	e.	PROPN
ap-982	178	8	,	,	PUNCT
ap-982	178	9	bell	bell	PROPN
ap-982	178	10	,	,	PUNCT
ap-982	178	11	a.	a.	NOUN
ap-982	178	12	a.	a.	PROPN
ap-982	178	13	,	,	PUNCT
ap-982	178	14	meyer	meyer	PROPN
ap-982	178	15	-	-	PUNCT
ap-982	178	16	ebrecht	ebrecht	PROPN
ap-982	178	17	,	,	PUNCT
ap-982	178	18	d.	d.	PROPN
ap-982	178	19	,	,	PUNCT
ap-982	178	20	böcking	böcking	NOUN
ap-982	178	21	,	,	PUNCT
ap-982	178	22	a.	a.	NOUN
ap-982	178	23	,	,	PUNCT
ap-982	178	24	aach	aach	NOUN
ap-982	178	25	,	,	PUNCT
ap-982	178	26	t.	t.	PROPN
ap-982	178	27	:	:	PUNCT
ap-982	178	28	computer	computer	NOUN
ap-982	178	29	aided	aid	VERB
ap-982	178	30	cytological	cytological	ADJ
ap-982	178	31	cancer	cancer	NOUN
ap-982	178	32	diagnosis	diagnosis	NOUN
ap-982	178	33	:	:	PUNCT
ap-982	178	34	cell	cell	NOUN
ap-982	178	35	type	type	NOUN
ap-982	178	36	classification	classification	NOUN
ap-982	178	37	as	as	ADP
ap-982	178	38	a	a	DET
ap-982	178	39	step	step	NOUN
ap-982	178	40	towards	towards	ADP
ap-982	178	41	fully	fully	ADV
ap-982	178	42	automatic	automatic	ADJ
ap-982	178	43	cancer	cancer	NOUN
ap-982	178	44	diagnostics	diagnostic	NOUN
ap-982	178	45	on	on	ADP
ap-982	178	46	cytopathological	cytopathological	ADJ
ap-982	178	47	specimens	specimen	NOUN
ap-982	178	48	of	of	ADP
ap-982	178	49	serous	serous	ADJ
ap-982	178	50	effusions	effusion	NOUN
ap-982	178	51	.	.	PUNCT
ap-982	179	1	spie	spie	ADJ
ap-982	179	2	medical	medical	ADJ
ap-982	179	3	imaging	imaging	NOUN
ap-982	179	4	2007	2007	NUM
ap-982	179	5	,	,	PUNCT
ap-982	179	6	computer	computer	NOUN
ap-982	179	7	–	–	PUNCT
ap-982	179	8	aided	aid	VERB
ap-982	179	9	diagnosis	diagnosis	NOUN
ap-982	179	10	,	,	PUNCT
ap-982	179	11	vol	vol	NOUN
ap-982	179	12	.	.	PUNCT
ap-982	179	13	6514	6514	NUM
ap-982	179	14	(	(	PUNCT
ap-982	179	15	2007	2007	NUM
ap-982	179	16	)	)	PUNCT
ap-982	179	17	,	,	PUNCT
ap-982	179	18	p.	p.	NOUN
ap-982	179	19	6514og-1–10	6514og-1–10	NUM
ap-982	179	20	.	.	PUNCT
ap-982	180	1	[	[	X
ap-982	180	2	11	11	NUM
ap-982	180	3	]	]	X
ap-982	180	4	schneider	schneider	NOUN
ap-982	180	5	,	,	PUNCT
ap-982	180	6	t.	t.	PROPN
ap-982	180	7	e.	e.	PROPN
ap-982	180	8	,	,	PUNCT
ap-982	180	9	bell	bell	PROPN
ap-982	180	10	,	,	PUNCT
ap-982	180	11	a.	a.	NOUN
ap-982	180	12	a.	a.	PROPN
ap-982	180	13	,	,	PUNCT
ap-982	180	14	gerberich	gerberich	PROPN
ap-982	180	15	,	,	PUNCT
ap-982	180	16	g.	g.	PROPN
ap-982	180	17	,	,	PUNCT
ap-982	180	18	meyer	meyer	PROPN
ap-982	180	19	-	-	PUNCT
ap-982	180	20	ebrecht	ebrecht	PROPN
ap-982	180	21	,	,	PUNCT
ap-982	180	22	d.	d.	PROPN
ap-982	180	23	,	,	PUNCT
ap-982	180	24	böcking	böcking	NOUN
ap-982	180	25	,	,	PUNCT
ap-982	180	26	a.	a.	NOUN
ap-982	180	27	,	,	PUNCT
ap-982	180	28	aach	aach	NOUN
ap-982	180	29	,	,	PUNCT
ap-982	180	30	t.	t.	NOUN
ap-982	180	31	:	:	PUNCT
ap-982	180	32	chromatinmuster	chromatinmuster	NOUN
ap-982	180	33	-	-	PUNCT
ap-982	180	34	basierte	basierte	NOUN
ap-982	180	35	zellklassifizierung	zellklassifizierung	PROPN
ap-982	180	36	für	für	PROPN
ap-982	180	37	die	die	VERB
ap-982	180	38	dns	dns	NOUN
ap-982	180	39	-	-	PUNCT
ap-982	180	40	bildzytometrie	bildzytometrie	VERB
ap-982	180	41	an	an	DET
ap-982	180	42	mundschleimhaut	mundschleimhaut	NOUN
ap-982	180	43	-	-	PUNCT
ap-982	180	44	abstrichen	abstrichen	NOUN
ap-982	180	45	.	.	PUNCT
ap-982	181	1	bildverarbeitung	bildverarbeitung	PROPN
ap-982	181	2	für	für	PROPN
ap-982	181	3	die	die	VERB
ap-982	181	4	medizin	medizin	PROPN
ap-982	181	5	2007	2007	NUM
ap-982	181	6	,	,	PUNCT
ap-982	181	7	2007	2007	NUM
ap-982	181	8	,	,	PUNCT
ap-982	181	9	p.	p.	NOUN
ap-982	181	10	257–261	257–261	NUM
ap-982	181	11	.	.	PUNCT
ap-982	182	1	[	[	X
ap-982	182	2	12	12	NUM
ap-982	182	3	]	]	X
ap-982	182	4	vapnik	vapnik	X
ap-982	182	5	,	,	PUNCT
ap-982	182	6	v.	v.	ADP
ap-982	182	7	n.	n.	NOUN
ap-982	182	8	:	:	PUNCT
ap-982	182	9	the	the	DET
ap-982	182	10	nature	nature	NOUN
ap-982	182	11	of	of	ADP
ap-982	182	12	statistical	statistical	ADJ
ap-982	182	13	learning	learning	NOUN
ap-982	182	14	theory	theory	NOUN
ap-982	182	15	.	.	PUNCT
ap-982	183	1	springer	springer	NOUN
ap-982	183	2	,	,	PUNCT
ap-982	183	3	1995	1995	NUM
ap-982	183	4	.	.	PUNCT
ap-982	184	1	timna	timna	PROPN
ap-982	184	2	esther	esther	PROPN
ap-982	184	3	schneider	schneider	PROPN
ap-982	184	4	e	e	PROPN
ap-982	184	5	-	-	NOUN
ap-982	184	6	mail	mail	NOUN
ap-982	184	7	:	:	PUNCT
ap-982	184	8	timna.schneider@lfb.rwth-aachen.de	timna.schneider@lfb.rwth-aachen.de	PROPN
ap-982	184	9	institute	institute	NOUN
ap-982	184	10	of	of	ADP
ap-982	184	11	imaging	imaging	NOUN
ap-982	184	12	and	and	CCONJ
ap-982	184	13	computer	computer	NOUN
ap-982	184	14	vision	vision	NOUN
ap-982	184	15	rwth	rwth	PROPN
ap-982	184	16	aachen	aachen	PROPN
ap-982	184	17	university	university	PROPN
ap-982	184	18	sommerfeldstrasse	sommerfeldstrasse	VERB
ap-982	184	19	24	24	NUM
ap-982	184	20	52074	52074	NUM
ap-982	184	21	aachen	aachen	PROPN
ap-982	184	22	,	,	PUNCT
ap-982	184	23	germany	germany	PROPN
ap-982	184	24	90	90	NUM
ap-982	184	25	©	©	PROPN
ap-982	184	26	czech	czech	PROPN
ap-982	184	27	technical	technical	PROPN
ap-982	184	28	university	university	PROPN
ap-982	184	29	publishing	publishing	NOUN
ap-982	184	30	house	house	NOUN
ap-982	184	31	http://ctn.cvut.cz/ap/	http://ctn.cvut.cz/ap/	PROPN
ap-982	184	32	acta	acta	PROPN
ap-982	184	33	polytechnica	polytechnica	PROPN
ap-982	184	34	vol	vol	NOUN
ap-982	184	35	.	.	PUNCT
ap-982	185	1	47	47	NUM
ap-982	185	2	no	no	NOUN
ap-982	185	3	.	.	PUNCT
ap-982	186	1	4–5/2007	4–5/2007	NUM