id	sid	tid	token	lemma	pos
cana-2866	1	1	communications	communication	NOUN
cana-2866	1	2	on	on	ADP
cana-2866	1	3	applied	apply	VERB
cana-2866	1	4	nonlinear	nonlinear	ADJ
cana-2866	1	5	analysis	analysis	NOUN
cana-2866	1	6	issn	issn	NOUN
cana-2866	1	7	:	:	PUNCT
cana-2866	1	8	1074	1074	NUM
cana-2866	1	9	-	-	PUNCT
cana-2866	1	10	133x	133x	NUM
cana-2866	1	11	vol	vol	NOUN
cana-2866	1	12	32	32	NUM
cana-2866	1	13	no	no	NOUN
cana-2866	1	14	.	.	PUNCT
cana-2866	2	1	4s	4s	NUM
cana-2866	2	2	(	(	PUNCT
cana-2866	2	3	2025	2025	NUM
cana-2866	2	4	)	)	PUNCT
cana-2866	2	5	480	480	NUM
cana-2866	3	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-2866	3	2	enhanced	enhance	VERB
cana-2866	3	3	image	image	NOUN
cana-2866	3	4	segmentation	segmentation	NOUN
cana-2866	3	5	in	in	ADP
cana-2866	3	6	breast	breast	NOUN
cana-2866	3	7	cancer	cancer	NOUN
cana-2866	3	8	classification	classification	NOUN
cana-2866	3	9	leveraging	leverage	VERB
cana-2866	3	10	deep	deep	ADJ
cana-2866	3	11	learning	learning	NOUN
cana-2866	3	12	talari	talari	PROPN
cana-2866	3	13	swapna1	swapna1	PROPN
cana-2866	3	14	,	,	PUNCT
cana-2866	3	15	v.	v.	PROPN
cana-2866	3	16	vijaya	vijaya	PROPN
cana-2866	3	17	kumar2	kumar2	PROPN
cana-2866	4	1	1research	1research	NUM
cana-2866	4	2	scholar	scholar	NOUN
cana-2866	4	3	,	,	PUNCT
cana-2866	4	4	department	department	NOUN
cana-2866	4	5	of	of	ADP
cana-2866	4	6	computer	computer	NOUN
cana-2866	4	7	science	science	NOUN
cana-2866	4	8	and	and	CCONJ
cana-2866	4	9	engineering	engineering	NOUN
cana-2866	4	10	,	,	PUNCT
cana-2866	4	11	anurag	anurag	PROPN
cana-2866	4	12	university	university	PROPN
cana-2866	4	13	,	,	PUNCT
cana-2866	4	14	ts	ts	NOUN
cana-2866	4	15	,	,	PUNCT
cana-2866	4	16	india	india	PROPN
cana-2866	4	17	2professor	2professor	PROPN
cana-2866	4	18	,	,	PUNCT
cana-2866	4	19	department	department	NOUN
cana-2866	4	20	of	of	ADP
cana-2866	4	21	computer	computer	NOUN
cana-2866	4	22	science	science	NOUN
cana-2866	4	23	and	and	CCONJ
cana-2866	4	24	engineering	engineering	NOUN
cana-2866	4	25	,	,	PUNCT
cana-2866	4	26	anurag	anurag	PROPN
cana-2866	4	27	university	university	PROPN
cana-2866	4	28	,	,	PUNCT
cana-2866	4	29	india	india	PROPN
cana-2866	4	30	authors	author	NOUN
cana-2866	4	31	e	e	NOUN
cana-2866	4	32	-	-	PUNCT
cana-2866	4	33	mails	mail	NOUN
cana-2866	4	34	:	:	PUNCT
cana-2866	4	35	drvvk144@gmail.com2	drvvk144@gmail.com2	NOUN
cana-2866	4	36	,	,	PUNCT
cana-2866	4	37	talariswapna23@gmail.com1	talariswapna23@gmail.com1	PROPN
cana-2866	4	38	article	article	NOUN
cana-2866	4	39	history	history	NOUN
cana-2866	4	40	:	:	PUNCT
cana-2866	4	41	received	receive	VERB
cana-2866	4	42	:	:	PUNCT
cana-2866	4	43	29	29	NUM
cana-2866	4	44	-	-	SYM
cana-2866	4	45	09	09	NUM
cana-2866	4	46	-	-	PUNCT
cana-2866	4	47	2024	2024	NUM
cana-2866	4	48	revised	revise	VERB
cana-2866	4	49	:	:	PUNCT
cana-2866	4	50	27	27	NUM
cana-2866	4	51	-	-	SYM
cana-2866	4	52	11	11	NUM
cana-2866	4	53	-	-	PUNCT
cana-2866	4	54	2024	2024	NUM
cana-2866	4	55	accepted	accept	VERB
cana-2866	4	56	:	:	PUNCT
cana-2866	4	57	08	08	NUM
cana-2866	4	58	-	-	SYM
cana-2866	4	59	12	12	NUM
cana-2866	4	60	-	-	PUNCT
cana-2866	4	61	2024	2024	NUM
cana-2866	4	62	abstract	abstract	NOUN
cana-2866	4	63	:	:	PUNCT
cana-2866	4	64	in	in	ADP
cana-2866	4	65	the	the	DET
cana-2866	4	66	recent	recent	ADJ
cana-2866	4	67	years	year	NOUN
cana-2866	4	68	,	,	PUNCT
cana-2866	4	69	the	the	DET
cana-2866	4	70	field	field	NOUN
cana-2866	4	71	of	of	ADP
cana-2866	4	72	breast	breast	NOUN
cana-2866	4	73	cancer	cancer	NOUN
cana-2866	4	74	research	research	NOUN
cana-2866	4	75	is	be	AUX
cana-2866	4	76	using	use	VERB
cana-2866	4	77	deep	deep	ADJ
cana-2866	4	78	learning	learning	NOUN
cana-2866	4	79	techniques	technique	NOUN
cana-2866	4	80	to	to	PART
cana-2866	4	81	mitigate	mitigate	VERB
cana-2866	4	82	the	the	DET
cana-2866	4	83	problems	problem	NOUN
cana-2866	4	84	of	of	ADP
cana-2866	4	85	false	false	ADJ
cana-2866	4	86	positive	positive	ADJ
cana-2866	4	87	and	and	CCONJ
cana-2866	4	88	false	false	ADJ
cana-2866	4	89	negative	negative	ADJ
cana-2866	4	90	cases	case	NOUN
cana-2866	4	91	caused	cause	VERB
cana-2866	4	92	by	by	ADP
cana-2866	4	93	the	the	DET
cana-2866	4	94	breast	breast	NOUN
cana-2866	4	95	cancer	cancer	NOUN
cana-2866	4	96	diagnosis	diagnosis	NOUN
cana-2866	4	97	done	do	VERB
cana-2866	4	98	by	by	ADP
cana-2866	4	99	the	the	DET
cana-2866	4	100	radiologist	radiologist	NOUN
cana-2866	4	101	.	.	PUNCT
cana-2866	5	1	therefore	therefore	ADV
cana-2866	5	2	,	,	PUNCT
cana-2866	5	3	in	in	ADP
cana-2866	5	4	this	this	DET
cana-2866	5	5	research	research	NOUN
cana-2866	5	6	we	we	PRON
cana-2866	5	7	propose	propose	VERB
cana-2866	5	8	deep	deep	ADJ
cana-2866	5	9	cnn	cnn	PROPN
cana-2866	5	10	(	(	PUNCT
cana-2866	5	11	convolution	convolution	NOUN
cana-2866	5	12	neural	neural	ADJ
cana-2866	5	13	networks	network	NOUN
cana-2866	5	14	)	)	PUNCT
cana-2866	5	15	for	for	ADP
cana-2866	5	16	classifying	classify	VERB
cana-2866	5	17	the	the	DET
cana-2866	5	18	mammogram	mammogram	NOUN
cana-2866	5	19	image	image	NOUN
cana-2866	5	20	as	as	ADP
cana-2866	5	21	cancerous	cancerous	ADJ
cana-2866	5	22	or	or	CCONJ
cana-2866	5	23	non	non	ADJ
cana-2866	5	24	-	-	ADJ
cana-2866	5	25	cancerous	cancerous	ADJ
cana-2866	5	26	.	.	PUNCT
cana-2866	6	1	however	however	ADV
cana-2866	6	2	,	,	PUNCT
cana-2866	6	3	it	it	PRON
cana-2866	6	4	is	be	AUX
cana-2866	6	5	observed	observe	VERB
cana-2866	6	6	that	that	SCONJ
cana-2866	6	7	,	,	PUNCT
cana-2866	6	8	merely	merely	ADV
cana-2866	6	9	using	use	VERB
cana-2866	6	10	deep	deep	ADJ
cana-2866	6	11	learning	learning	NOUN
cana-2866	6	12	techniques	technique	NOUN
cana-2866	6	13	also	also	ADV
cana-2866	6	14	has	have	VERB
cana-2866	6	15	some	some	DET
cana-2866	6	16	limitations	limitation	NOUN
cana-2866	6	17	such	such	ADJ
cana-2866	6	18	as	as	ADP
cana-2866	6	19	,	,	PUNCT
cana-2866	6	20	uncertainty	uncertainty	NOUN
cana-2866	6	21	in	in	ADP
cana-2866	6	22	breast	breast	NOUN
cana-2866	6	23	mass	mass	NOUN
cana-2866	6	24	classification	classification	NOUN
cana-2866	6	25	on	on	ADP
cana-2866	6	26	the	the	DET
cana-2866	6	27	dense	dense	ADJ
cana-2866	6	28	breast	breast	NOUN
cana-2866	6	29	mammograms	mammogram	NOUN
cana-2866	6	30	.	.	PUNCT
cana-2866	7	1	thus	thus	ADV
cana-2866	7	2	,	,	PUNCT
cana-2866	7	3	in	in	ADP
cana-2866	7	4	this	this	DET
cana-2866	7	5	research	research	NOUN
cana-2866	7	6	the	the	DET
cana-2866	7	7	images	image	NOUN
cana-2866	7	8	are	be	AUX
cana-2866	7	9	preprocessed	preprocesse	VERB
cana-2866	7	10	and	and	CCONJ
cana-2866	7	11	segmented	segment	VERB
cana-2866	7	12	prior	prior	ADJ
cana-2866	7	13	classification	classification	NOUN
cana-2866	7	14	.	.	PUNCT
cana-2866	8	1	in	in	ADP
cana-2866	8	2	this	this	DET
cana-2866	8	3	research	research	NOUN
cana-2866	8	4	images	image	NOUN
cana-2866	8	5	are	be	AUX
cana-2866	8	6	preprocessed	preprocesse	VERB
cana-2866	8	7	using	use	VERB
cana-2866	8	8	rolling	roll	VERB
cana-2866	8	9	ball	ball	NOUN
cana-2866	8	10	algorithm	algorithm	NOUN
cana-2866	8	11	for	for	ADP
cana-2866	8	12	background	background	NOUN
cana-2866	8	13	removal	removal	NOUN
cana-2866	8	14	and	and	CCONJ
cana-2866	8	15	then	then	ADV
cana-2866	8	16	compared	compare	VERB
cana-2866	8	17	clahe	clahe	NOUN
cana-2866	8	18	and	and	CCONJ
cana-2866	8	19	unsharp	unsharp	ADJ
cana-2866	8	20	masking	masking	NOUN
cana-2866	8	21	for	for	ADP
cana-2866	8	22	improving	improve	VERB
cana-2866	8	23	image	image	NOUN
cana-2866	8	24	contrast	contrast	NOUN
cana-2866	8	25	and	and	CCONJ
cana-2866	8	26	visibility	visibility	NOUN
cana-2866	8	27	of	of	ADP
cana-2866	8	28	the	the	DET
cana-2866	8	29	images	image	NOUN
cana-2866	8	30	.	.	PUNCT
cana-2866	9	1	the	the	DET
cana-2866	9	2	proposed	propose	VERB
cana-2866	9	3	work	work	NOUN
cana-2866	9	4	segmented	segment	VERB
cana-2866	9	5	mias	mia	NOUN
cana-2866	9	6	preprocessed	preprocesse	VERB
cana-2866	9	7	images	image	NOUN
cana-2866	9	8	using	use	VERB
cana-2866	9	9	k	k	ADJ
cana-2866	9	10	-	-	PUNCT
cana-2866	9	11	means	means	NOUN
cana-2866	9	12	algorithm	algorithm	NOUN
cana-2866	9	13	.	.	PUNCT
cana-2866	10	1	these	these	DET
cana-2866	10	2	enhanced	enhance	VERB
cana-2866	10	3	images	image	NOUN
cana-2866	10	4	are	be	AUX
cana-2866	10	5	provided	provide	VERB
cana-2866	10	6	to	to	ADP
cana-2866	10	7	deep	deep	ADJ
cana-2866	10	8	cnn	cnn	PROPN
cana-2866	10	9	(	(	PUNCT
cana-2866	10	10	convolution	convolution	NOUN
cana-2866	10	11	neural	neural	ADJ
cana-2866	10	12	networks	network	NOUN
cana-2866	10	13	)	)	PUNCT
cana-2866	10	14	and	and	CCONJ
cana-2866	10	15	its	its	PRON
cana-2866	10	16	features	feature	NOUN
cana-2866	10	17	extracted	extract	VERB
cana-2866	10	18	for	for	ADP
cana-2866	10	19	classifying	classify	VERB
cana-2866	10	20	images	image	NOUN
cana-2866	10	21	as	as	ADP
cana-2866	10	22	benign	benign	ADJ
cana-2866	10	23	,	,	PUNCT
cana-2866	10	24	malignant	malignant	ADJ
cana-2866	10	25	or	or	CCONJ
cana-2866	10	26	normal	normal	ADJ
cana-2866	10	27	.	.	PUNCT
cana-2866	11	1	to	to	PART
cana-2866	11	2	improve	improve	VERB
cana-2866	11	3	the	the	DET
cana-2866	11	4	cnn	cnn	PROPN
cana-2866	11	5	's	's	PART
cana-2866	11	6	structure	structure	NOUN
cana-2866	11	7	and	and	CCONJ
cana-2866	11	8	lessen	lessen	VERB
cana-2866	11	9	overfitting	overfitte	VERB
cana-2866	11	10	,	,	PUNCT
cana-2866	11	11	dropout	dropout	NOUN
cana-2866	11	12	and	and	CCONJ
cana-2866	11	13	zero	zero	NUM
cana-2866	11	14	-	-	PUNCT
cana-2866	11	15	padding	padding	NOUN
cana-2866	11	16	are	be	AUX
cana-2866	11	17	employed	employ	VERB
cana-2866	11	18	.	.	PUNCT
cana-2866	12	1	the	the	DET
cana-2866	12	2	proposed	propose	VERB
cana-2866	12	3	work	work	NOUN
cana-2866	12	4	is	be	AUX
cana-2866	12	5	tested	test	VERB
cana-2866	12	6	on	on	ADP
cana-2866	12	7	mammography	mammography	NOUN
cana-2866	12	8	images	image	NOUN
cana-2866	12	9	from	from	ADP
cana-2866	12	10	the	the	DET
cana-2866	12	11	databases	database	NOUN
cana-2866	12	12	of	of	ADP
cana-2866	12	13	the	the	DET
cana-2866	12	14	mammographic	mammographic	ADJ
cana-2866	12	15	image	image	NOUN
cana-2866	12	16	analysis	analysis	NOUN
cana-2866	12	17	society	society	NOUN
cana-2866	12	18	(	(	PUNCT
cana-2866	12	19	mini	mini	NOUN
cana-2866	12	20	-	-	NOUN
cana-2866	12	21	mias	mia	NOUN
cana-2866	12	22	)	)	PUNCT
cana-2866	12	23	,	,	PUNCT
cana-2866	12	24	breast	breast	NOUN
cana-2866	12	25	cancer	cancer	NOUN
cana-2866	12	26	digital	digital	PROPN
cana-2866	12	27	repository	repository	NOUN
cana-2866	12	28	(	(	PUNCT
cana-2866	12	29	bcdr	bcdr	PROPN
cana-2866	12	30	)	)	PUNCT
cana-2866	12	31	.	.	PUNCT
cana-2866	13	1	the	the	DET
cana-2866	13	2	proposed	propose	VERB
cana-2866	13	3	system	system	NOUN
cana-2866	13	4	has	have	VERB
cana-2866	13	5	,	,	PUNCT
cana-2866	13	6	accuracy:0.89	accuracy:0.89	PROPN
cana-2866	13	7	%	%	NOUN
cana-2866	13	8	,	,	PUNCT
cana-2866	13	9	precision	precision	NOUN
cana-2866	13	10	:	:	PUNCT
cana-2866	13	11	0.91	0.91	NUM
cana-2866	13	12	%	%	NOUN
cana-2866	13	13	,	,	PUNCT
cana-2866	13	14	recall	recall	NOUN
cana-2866	13	15	:	:	PUNCT
cana-2866	13	16	0.90	0.90	NUM
cana-2866	13	17	%	%	NOUN
cana-2866	13	18	,	,	PUNCT
cana-2866	13	19	f1	f1	NOUN
cana-2866	13	20	-	-	PUNCT
cana-2866	13	21	score	score	NOUN
cana-2866	13	22	0.88	0.88	NUM
cana-2866	13	23	%	%	NOUN
cana-2866	13	24	and	and	CCONJ
cana-2866	13	25	for	for	ADP
cana-2866	13	26	the	the	DET
cana-2866	13	27	mias	mias	PROPN
cana-2866	13	28	dataset	dataset	PROPN
cana-2866	13	29	,	,	PUNCT
cana-2866	13	30	respectively	respectively	ADV
cana-2866	13	31	.	.	PUNCT
cana-2866	14	1	keywords	keyword	NOUN
cana-2866	14	2	:	:	PUNCT
cana-2866	14	3	deep	deep	ADJ
cana-2866	14	4	cnn	cnn	PROPN
cana-2866	14	5	,	,	PUNCT
cana-2866	14	6	background	background	NOUN
cana-2866	14	7	removal	removal	NOUN
cana-2866	14	8	,	,	PUNCT
cana-2866	14	9	rolling	rolling	NOUN
cana-2866	14	10	ball	ball	NOUN
cana-2866	14	11	,	,	PUNCT
cana-2866	14	12	segmentation	segmentation	NOUN
cana-2866	14	13	,	,	PUNCT
cana-2866	14	14	k	k	NOUN
cana-2866	14	15	-	-	PUNCT
cana-2866	14	16	means	means	ADJ
cana-2866	14	17	,	,	PUNCT
cana-2866	14	18	clahe	clahe	PROPN
cana-2866	14	19	,	,	PUNCT
cana-2866	14	20	unsharp	unsharp	ADJ
cana-2866	14	21	1	1	NUM
cana-2866	14	22	.	.	PUNCT
cana-2866	14	23	introduction	introduction	NOUN
cana-2866	14	24	according	accord	VERB
cana-2866	14	25	to	to	ADP
cana-2866	14	26	worldwide	worldwide	ADJ
cana-2866	14	27	research	research	NOUN
cana-2866	14	28	,	,	PUNCT
cana-2866	14	29	breast	breast	NOUN
cana-2866	14	30	cancer	cancer	NOUN
cana-2866	14	31	is	be	AUX
cana-2866	14	32	one	one	NUM
cana-2866	14	33	of	of	ADP
cana-2866	14	34	the	the	DET
cana-2866	14	35	deadliest	deadly	ADJ
cana-2866	14	36	diseases	disease	NOUN
cana-2866	14	37	.	.	PUNCT
cana-2866	15	1	it	it	PRON
cana-2866	15	2	is	be	AUX
cana-2866	15	3	the	the	DET
cana-2866	15	4	second	second	ADV
cana-2866	15	5	-	-	PUNCT
cana-2866	15	6	most	most	ADV
cana-2866	15	7	common	common	ADJ
cana-2866	15	8	cancer	cancer	NOUN
cana-2866	15	9	,	,	PUNCT
cana-2866	15	10	leading	lead	VERB
cana-2866	15	11	to	to	ADP
cana-2866	15	12	a	a	DET
cana-2866	15	13	high	high	ADJ
cana-2866	15	14	mortality	mortality	NOUN
cana-2866	15	15	rate	rate	NOUN
cana-2866	15	16	among	among	ADP
cana-2866	15	17	women	woman	NOUN
cana-2866	15	18	across	across	ADP
cana-2866	15	19	the	the	DET
cana-2866	15	20	world	world	NOUN
cana-2866	16	1	[	[	X
cana-2866	16	2	1	1	NUM
cana-2866	16	3	]	]	PUNCT
cana-2866	16	4	.	.	PUNCT
cana-2866	17	1	a	a	DET
cana-2866	17	2	study	study	NOUN
cana-2866	17	3	conducted	conduct	VERB
cana-2866	17	4	by	by	ADP
cana-2866	17	5	the	the	DET
cana-2866	17	6	chinese	chinese	PROPN
cana-2866	17	7	national	national	PROPN
cana-2866	17	8	institute	institute	PROPN
cana-2866	17	9	of	of	ADP
cana-2866	17	10	cancer	cancer	PROPN
cana-2866	17	11	(	(	PUNCT
cana-2866	17	12	nci	nci	PROPN
cana-2866	17	13	)	)	PUNCT
cana-2866	17	14	found	find	VERB
cana-2866	17	15	that	that	SCONJ
cana-2866	17	16	522,000	522,000	NUM
cana-2866	17	17	people	people	NOUN
cana-2866	17	18	died	die	VERB
cana-2866	17	19	and	and	CCONJ
cana-2866	17	20	1.67	1.67	NUM
cana-2866	17	21	million	million	NUM
cana-2866	17	22	incidences	incidence	NOUN
cana-2866	17	23	of	of	ADP
cana-2866	17	24	breast	breast	NOUN
cana-2866	17	25	cancer	cancer	NOUN
cana-2866	17	26	were	be	AUX
cana-2866	17	27	reported	report	VERB
cana-2866	17	28	between	between	ADP
cana-2866	17	29	2008	2008	NUM
cana-2866	17	30	and	and	CCONJ
cana-2866	17	31	2012	2012	NUM
cana-2866	17	32	[	[	X
cana-2866	17	33	2	2	NUM
cana-2866	17	34	]	]	PUNCT
cana-2866	17	35	.	.	PUNCT
cana-2866	18	1	thankfully	thankfully	ADV
cana-2866	18	2	,	,	PUNCT
cana-2866	18	3	research	research	NOUN
cana-2866	18	4	over	over	ADP
cana-2866	18	5	the	the	DET
cana-2866	18	6	previous	previous	ADJ
cana-2866	18	7	five	five	NUM
cana-2866	18	8	years	year	NOUN
cana-2866	18	9	has	have	AUX
cana-2866	18	10	also	also	ADV
cana-2866	18	11	shown	show	VERB
cana-2866	18	12	that	that	SCONJ
cana-2866	18	13	the	the	DET
cana-2866	18	14	survival	survival	NOUN
cana-2866	18	15	rate	rate	NOUN
cana-2866	18	16	for	for	ADP
cana-2866	18	17	breast	breast	NOUN
cana-2866	18	18	cancer	cancer	NOUN
cana-2866	18	19	may	may	AUX
cana-2866	18	20	exceed	exceed	VERB
cana-2866	18	21	90	90	NUM
cana-2866	18	22	%	%	NOUN
cana-2866	18	23	if	if	SCONJ
cana-2866	18	24	it	it	PRON
cana-2866	18	25	is	be	AUX
cana-2866	18	26	discovered	discover	VERB
cana-2866	18	27	in	in	ADP
cana-2866	18	28	its	its	PRON
cana-2866	18	29	early	early	ADJ
cana-2866	18	30	stages	stage	NOUN
cana-2866	18	31	[	[	X
cana-2866	18	32	3	3	NUM
cana-2866	18	33	]	]	PUNCT
cana-2866	18	34	.	.	PUNCT
cana-2866	19	1	diagnosis	diagnosis	NOUN
cana-2866	19	2	through	through	ADP
cana-2866	19	3	breast	breast	NOUN
cana-2866	19	4	screening	screening	NOUN
cana-2866	19	5	examinations	examination	NOUN
cana-2866	19	6	has	have	VERB
cana-2866	19	7	to	to	PART
cana-2866	19	8	be	be	AUX
cana-2866	19	9	encouraged	encourage	VERB
cana-2866	19	10	among	among	ADP
cana-2866	19	11	women	woman	NOUN
cana-2866	19	12	for	for	ADP
cana-2866	19	13	early	early	ADJ
cana-2866	19	14	detection	detection	NOUN
cana-2866	19	15	,	,	PUNCT
cana-2866	19	16	which	which	PRON
cana-2866	19	17	can	can	AUX
cana-2866	19	18	reduce	reduce	VERB
cana-2866	19	19	the	the	DET
cana-2866	19	20	death	death	NOUN
cana-2866	19	21	rate	rate	NOUN
cana-2866	20	1	[	[	X
cana-2866	20	2	4	4	NUM
cana-2866	20	3	]	]	PUNCT
cana-2866	20	4	.	.	PUNCT
cana-2866	21	1	however	however	ADV
cana-2866	21	2	,	,	PUNCT
cana-2866	21	3	if	if	SCONJ
cana-2866	21	4	it	it	PRON
cana-2866	21	5	is	be	AUX
cana-2866	21	6	diagnosed	diagnose	VERB
cana-2866	21	7	too	too	ADV
cana-2866	21	8	late	late	ADV
cana-2866	21	9	,	,	PUNCT
cana-2866	21	10	it	it	PRON
cana-2866	21	11	may	may	AUX
cana-2866	21	12	spread	spread	VERB
cana-2866	21	13	to	to	ADP
cana-2866	21	14	other	other	ADJ
cana-2866	21	15	body	body	NOUN
cana-2866	21	16	areas	area	NOUN
cana-2866	21	17	,	,	PUNCT
cana-2866	21	18	including	include	VERB
cana-2866	21	19	lymph	lymph	NOUN
cana-2866	21	20	nodes	node	NOUN
cana-2866	21	21	,	,	PUNCT
cana-2866	21	22	and	and	CCONJ
cana-2866	21	23	the	the	DET
cana-2866	21	24	survival	survival	NOUN
cana-2866	21	25	chance	chance	NOUN
cana-2866	21	26	would	would	AUX
cana-2866	21	27	be	be	AUX
cana-2866	21	28	reduced	reduce	VERB
cana-2866	21	29	by	by	ADP
cana-2866	21	30	27	27	NUM
cana-2866	21	31	%	%	NOUN
cana-2866	22	1	[	[	X
cana-2866	22	2	5	5	NUM
cana-2866	22	3	]	]	PUNCT
cana-2866	22	4	.	.	PUNCT
cana-2866	23	1	the	the	DET
cana-2866	23	2	breast	breast	NOUN
cana-2866	23	3	imaging	imaging	NOUN
cana-2866	23	4	-	-	PUNCT
cana-2866	23	5	reporting	reporting	NOUN
cana-2866	23	6	and	and	CCONJ
cana-2866	23	7	data	datum	NOUN
cana-2866	23	8	system	system	NOUN
cana-2866	23	9	(	(	PUNCT
cana-2866	23	10	bi	bi	NOUN
cana-2866	23	11	-	-	NOUN
cana-2866	23	12	rads	rad	NOUN
cana-2866	23	13	)	)	PUNCT
cana-2866	23	14	is	be	AUX
cana-2866	23	15	a	a	DET
cana-2866	23	16	common	common	ADJ
cana-2866	23	17	system	system	NOUN
cana-2866	23	18	used	use	VERB
cana-2866	23	19	to	to	PART
cana-2866	23	20	record	record	VERB
cana-2866	23	21	mammography	mammography	NOUN
cana-2866	23	22	data	datum	NOUN
cana-2866	23	23	.	.	PUNCT
cana-2866	24	1	due	due	ADP
cana-2866	24	2	to	to	ADP
cana-2866	24	3	the	the	DET
cana-2866	24	4	intricate	intricate	ADJ
cana-2866	24	5	structure	structure	NOUN
cana-2866	24	6	of	of	ADP
cana-2866	24	7	the	the	DET
cana-2866	24	8	breast	breast	NOUN
cana-2866	24	9	,	,	PUNCT
cana-2866	24	10	a	a	DET
cana-2866	24	11	specialist	specialist	NOUN
cana-2866	24	12	may	may	AUX
cana-2866	24	13	occasionally	occasionally	ADV
cana-2866	24	14	be	be	AUX
cana-2866	24	15	unable	unable	ADJ
cana-2866	24	16	to	to	PART
cana-2866	24	17	recognize	recognize	VERB
cana-2866	24	18	local	local	ADJ
cana-2866	24	19	lesions	lesion	NOUN
cana-2866	24	20	,	,	PUNCT
cana-2866	24	21	and	and	CCONJ
cana-2866	24	22	extensive	extensive	ADJ
cana-2866	24	23	reading	reading	NOUN
cana-2866	24	24	procedures	procedure	NOUN
cana-2866	24	25	may	may	AUX
cana-2866	24	26	also	also	ADV
cana-2866	24	27	cause	cause	VERB
cana-2866	24	28	a	a	DET
cana-2866	24	29	false	false	ADJ
cana-2866	24	30	diagnosis	diagnosis	NOUN
cana-2866	24	31	[	[	X
cana-2866	24	32	6	6	NUM
cana-2866	24	33	]	]	PUNCT
cana-2866	24	34	.	.	PUNCT
cana-2866	25	1	therefore	therefore	ADV
cana-2866	25	2	,	,	PUNCT
cana-2866	25	3	to	to	PART
cana-2866	25	4	overcome	overcome	VERB
cana-2866	25	5	these	these	DET
cana-2866	25	6	challenges	challenge	NOUN
cana-2866	25	7	,	,	PUNCT
cana-2866	25	8	automated	automate	VERB
cana-2866	25	9	techniques	technique	NOUN
cana-2866	25	10	are	be	AUX
cana-2866	25	11	communications	communication	NOUN
cana-2866	25	12	on	on	ADP
cana-2866	25	13	applied	apply	VERB
cana-2866	25	14	nonlinear	nonlinear	ADJ
cana-2866	25	15	analysis	analysis	NOUN
cana-2866	25	16	issn	issn	NOUN
cana-2866	25	17	:	:	PUNCT
cana-2866	25	18	1074	1074	NUM
cana-2866	25	19	-	-	PUNCT
cana-2866	25	20	133x	133x	NUM
cana-2866	25	21	vol	vol	NOUN
cana-2866	25	22	32	32	NUM
cana-2866	25	23	no	no	NOUN
cana-2866	25	24	.	.	PUNCT
cana-2866	26	1	4s	4s	NUM
cana-2866	26	2	(	(	PUNCT
cana-2866	26	3	2025	2025	NUM
cana-2866	26	4	)	)	PUNCT
cana-2866	27	1	481	481	NUM
cana-2866	27	2	https://internationalpubls.com	https://internationalpubls.com	X
cana-2866	27	3	used	use	VERB
cana-2866	27	4	to	to	PART
cana-2866	27	5	assist	assist	VERB
cana-2866	27	6	radiologists	radiologist	NOUN
cana-2866	27	7	in	in	ADP
cana-2866	27	8	determining	determine	VERB
cana-2866	27	9	tumor	tumor	NOUN
cana-2866	27	10	detection	detection	NOUN
cana-2866	27	11	with	with	ADP
cana-2866	27	12	greater	great	ADJ
cana-2866	27	13	accuracy	accuracy	NOUN
cana-2866	27	14	.	.	PUNCT
cana-2866	28	1	the	the	DET
cana-2866	28	2	automated	automate	VERB
cana-2866	28	3	techniques	technique	NOUN
cana-2866	28	4	are	be	AUX
cana-2866	28	5	mainly	mainly	ADV
cana-2866	28	6	performed	perform	VERB
cana-2866	28	7	in	in	ADP
cana-2866	28	8	four	four	NUM
cana-2866	28	9	stages	stage	NOUN
cana-2866	28	10	:	:	PUNCT
cana-2866	28	11	image	image	NOUN
cana-2866	28	12	preprocessing	preprocessing	NOUN
cana-2866	28	13	,	,	PUNCT
cana-2866	28	14	lesion	lesion	NOUN
cana-2866	28	15	segmentation	segmentation	NOUN
cana-2866	28	16	,	,	PUNCT
cana-2866	28	17	feature	feature	NOUN
cana-2866	28	18	extraction	extraction	NOUN
cana-2866	28	19	,	,	PUNCT
cana-2866	28	20	and	and	CCONJ
cana-2866	28	21	classification	classification	NOUN
cana-2866	28	22	.	.	PUNCT
cana-2866	29	1	the	the	DET
cana-2866	29	2	classification	classification	NOUN
cana-2866	29	3	can	can	AUX
cana-2866	29	4	be	be	AUX
cana-2866	29	5	performed	perform	VERB
cana-2866	29	6	using	use	VERB
cana-2866	29	7	machine	machine	NOUN
cana-2866	29	8	learning	learning	NOUN
cana-2866	29	9	approach	approach	NOUN
cana-2866	29	10	,	,	PUNCT
cana-2866	29	11	out	out	ADP
cana-2866	29	12	of	of	ADP
cana-2866	29	13	which	which	PRON
cana-2866	29	14	the	the	DET
cana-2866	29	15	k	k	NOUN
cana-2866	29	16	-	-	PUNCT
cana-2866	29	17	nearest	near	ADJ
cana-2866	29	18	neighbor	neighbor	NOUN
cana-2866	29	19	(	(	PUNCT
cana-2866	29	20	knn	knn	PROPN
cana-2866	29	21	)	)	PUNCT
cana-2866	29	22	,	,	PUNCT
cana-2866	29	23	support	support	NOUN
cana-2866	29	24	vector	vector	NOUN
cana-2866	29	25	machine	machine	NOUN
cana-2866	29	26	(	(	PUNCT
cana-2866	29	27	svm	svm	PROPN
cana-2866	29	28	)	)	PUNCT
cana-2866	29	29	,	,	PUNCT
cana-2866	29	30	and	and	CCONJ
cana-2866	29	31	sparse	sparse	ADJ
cana-2866	29	32	representation	representation	NOUN
cana-2866	29	33	[	[	X
cana-2866	29	34	7	7	NUM
cana-2866	29	35	]	]	PUNCT
cana-2866	29	36	are	be	AUX
cana-2866	29	37	popular	popular	ADJ
cana-2866	29	38	.	.	PUNCT
cana-2866	30	1	but	but	CCONJ
cana-2866	30	2	the	the	DET
cana-2866	30	3	typical	typical	ADJ
cana-2866	30	4	machine	machine	NOUN
cana-2866	30	5	learning	learn	VERB
cana-2866	30	6	algorithms	algorithm	NOUN
cana-2866	30	7	require	require	VERB
cana-2866	30	8	the	the	DET
cana-2866	30	9	feature	feature	NOUN
cana-2866	30	10	extraction	extraction	NOUN
cana-2866	30	11	method	method	NOUN
cana-2866	30	12	to	to	PART
cana-2866	30	13	be	be	AUX
cana-2866	30	14	manually	manually	ADV
cana-2866	30	15	built	build	VERB
cana-2866	30	16	,	,	PUNCT
cana-2866	30	17	it	it	PRON
cana-2866	30	18	is	be	AUX
cana-2866	30	19	challenging	challenge	VERB
cana-2866	30	20	to	to	PART
cana-2866	30	21	create	create	VERB
cana-2866	30	22	a	a	DET
cana-2866	30	23	highly	highly	ADV
cana-2866	30	24	effective	effective	ADJ
cana-2866	30	25	feature	feature	NOUN
cana-2866	30	26	extraction	extraction	NOUN
cana-2866	30	27	algorithm	algorithm	NOUN
cana-2866	30	28	because	because	SCONJ
cana-2866	30	29	of	of	ADP
cana-2866	30	30	the	the	DET
cana-2866	30	31	diversity	diversity	NOUN
cana-2866	30	32	of	of	ADP
cana-2866	30	33	the	the	DET
cana-2866	30	34	samples	sample	NOUN
cana-2866	30	35	[	[	X
cana-2866	30	36	8	8	NUM
cana-2866	30	37	]	]	PUNCT
cana-2866	30	38	.	.	PUNCT
cana-2866	31	1	deep	deep	ADJ
cana-2866	31	2	learning	learning	NOUN
cana-2866	31	3	has	have	AUX
cana-2866	31	4	garnered	garner	VERB
cana-2866	31	5	a	a	DET
cana-2866	31	6	lot	lot	NOUN
cana-2866	31	7	of	of	ADP
cana-2866	31	8	attention	attention	NOUN
cana-2866	31	9	in	in	ADP
cana-2866	31	10	the	the	DET
cana-2866	31	11	last	last	ADJ
cana-2866	31	12	few	few	ADJ
cana-2866	31	13	years	year	NOUN
cana-2866	32	1	[	[	X
cana-2866	32	2	9	9	NUM
cana-2866	32	3	]	]	PUNCT
cana-2866	32	4	.	.	PUNCT
cana-2866	33	1	the	the	DET
cana-2866	33	2	cnn	cnn	PROPN
cana-2866	33	3	has	have	AUX
cana-2866	33	4	been	be	AUX
cana-2866	33	5	widely	widely	ADV
cana-2866	33	6	employed	employ	VERB
cana-2866	33	7	in	in	ADP
cana-2866	33	8	the	the	DET
cana-2866	33	9	field	field	NOUN
cana-2866	33	10	of	of	ADP
cana-2866	33	11	mammography	mammography	NOUN
cana-2866	33	12	processing	processing	NOUN
cana-2866	33	13	because	because	SCONJ
cana-2866	33	14	of	of	ADP
cana-2866	33	15	its	its	PRON
cana-2866	33	16	strong	strong	ADJ
cana-2866	33	17	automatic	automatic	ADJ
cana-2866	33	18	image	image	NOUN
cana-2866	33	19	feature	feature	NOUN
cana-2866	33	20	extraction	extraction	NOUN
cana-2866	33	21	capacity	capacity	NOUN
cana-2866	33	22	.	.	PUNCT
cana-2866	34	1	jaffar	jaffar	PROPN
cana-2866	35	1	[	[	X
cana-2866	35	2	10	10	NUM
cana-2866	35	3	]	]	PUNCT
cana-2866	35	4	retrieved	retrieve	VERB
cana-2866	35	5	features	feature	NOUN
cana-2866	35	6	from	from	ADP
cana-2866	35	7	a	a	DET
cana-2866	35	8	whole	whole	ADJ
cana-2866	35	9	mammogram	mammogram	NOUN
cana-2866	35	10	using	use	VERB
cana-2866	35	11	cnn	cnn	PROPN
cana-2866	35	12	and	and	CCONJ
cana-2866	35	13	then	then	ADV
cana-2866	35	14	classified	classify	VERB
cana-2866	35	15	the	the	DET
cana-2866	35	16	features	feature	NOUN
cana-2866	35	17	using	use	VERB
cana-2866	35	18	svm	svm	PROPN
cana-2866	35	19	.	.	PROPN
cana-2866	36	1	gardezi	gardezi	PROPN
cana-2866	36	2	et	et	PROPN
cana-2866	36	3	al	al	PROPN
cana-2866	36	4	.	.	PUNCT
cana-2866	37	1	[	[	X
cana-2866	37	2	11	11	NUM
cana-2866	37	3	]	]	PUNCT
cana-2866	37	4	used	use	VERB
cana-2866	37	5	vgg-16	vgg-16	NOUN
cana-2866	37	6	to	to	PART
cana-2866	37	7	extract	extract	VERB
cana-2866	37	8	features	feature	NOUN
cana-2866	37	9	from	from	ADP
cana-2866	37	10	mammogram	mammogram	NOUN
cana-2866	37	11	images	image	NOUN
cana-2866	37	12	.	.	PUNCT
cana-2866	38	1	they	they	PRON
cana-2866	38	2	also	also	ADV
cana-2866	38	3	used	use	VERB
cana-2866	38	4	standard	standard	ADJ
cana-2866	38	5	machine	machine	NOUN
cana-2866	38	6	learning	learning	NOUN
cana-2866	38	7	algorithms	algorithm	NOUN
cana-2866	38	8	,	,	PUNCT
cana-2866	38	9	like	like	ADP
cana-2866	38	10	svm	svm	ADJ
cana-2866	38	11	,	,	PUNCT
cana-2866	38	12	logistic	logistic	ADJ
cana-2866	38	13	classifier	classifier	NOUN
cana-2866	38	14	,	,	PUNCT
cana-2866	38	15	and	and	CCONJ
cana-2866	38	16	knn	knn	PROPN
cana-2866	38	17	classifier	classifier	PROPN
cana-2866	38	18	,	,	PUNCT
cana-2866	38	19	to	to	PART
cana-2866	38	20	classify	classify	VERB
cana-2866	38	21	the	the	DET
cana-2866	38	22	features	feature	NOUN
cana-2866	38	23	as	as	ADP
cana-2866	38	24	benign	benign	ADJ
cana-2866	38	25	and	and	CCONJ
cana-2866	38	26	malignant	malignant	ADJ
cana-2866	38	27	breast	breast	NOUN
cana-2866	38	28	masses	masse	NOUN
cana-2866	38	29	.	.	PUNCT
cana-2866	39	1	a	a	DET
cana-2866	39	2	dataset	dataset	NOUN
cana-2866	39	3	of	of	ADP
cana-2866	39	4	mammography	mammography	NOUN
cana-2866	39	5	images	image	NOUN
cana-2866	39	6	was	be	AUX
cana-2866	39	7	enhanced	enhance	VERB
cana-2866	39	8	by	by	ADP
cana-2866	39	9	chougrad	chougrad	PROPN
cana-2866	39	10	et	et	PROPN
cana-2866	39	11	al	al	PROPN
cana-2866	39	12	.	.	PUNCT
cana-2866	40	1	[	[	X
cana-2866	40	2	12	12	NUM
cana-2866	40	3	]	]	PUNCT
cana-2866	40	4	by	by	ADP
cana-2866	40	5	randomly	randomly	ADV
cana-2866	40	6	rotating	rotate	VERB
cana-2866	40	7	and	and	CCONJ
cana-2866	40	8	warping	warp	VERB
cana-2866	40	9	the	the	DET
cana-2866	40	10	samples	sample	NOUN
cana-2866	40	11	.	.	PUNCT
cana-2866	41	1	when	when	SCONJ
cana-2866	41	2	it	it	PRON
cana-2866	41	3	comes	come	VERB
cana-2866	41	4	to	to	ADP
cana-2866	41	5	automatically	automatically	ADV
cana-2866	41	6	extracting	extract	VERB
cana-2866	41	7	features	feature	NOUN
cana-2866	41	8	from	from	ADP
cana-2866	41	9	images	image	NOUN
cana-2866	41	10	,	,	PUNCT
cana-2866	41	11	cnn	cnn	PROPN
cana-2866	41	12	performs	perform	VERB
cana-2866	41	13	admirably	admirably	ADV
cana-2866	41	14	[	[	X
cana-2866	41	15	13	13	NUM
cana-2866	41	16	]	]	PUNCT
cana-2866	42	1	[	[	X
cana-2866	42	2	14	14	NUM
cana-2866	42	3	]	]	PUNCT
cana-2866	42	4	.	.	PUNCT
cana-2866	43	1	multi	multi	ADJ
cana-2866	43	2	-	-	ADJ
cana-2866	43	3	view	view	ADJ
cana-2866	43	4	mammography	mammography	NOUN
cana-2866	43	5	and	and	CCONJ
cana-2866	43	6	cnn	cnn	PROPN
cana-2866	43	7	are	be	AUX
cana-2866	43	8	used	use	VERB
cana-2866	43	9	to	to	PART
cana-2866	43	10	classify	classify	VERB
cana-2866	43	11	breast	breast	NOUN
cana-2866	43	12	masses	masse	NOUN
cana-2866	43	13	in	in	ADP
cana-2866	43	14	order	order	NOUN
cana-2866	43	15	to	to	PART
cana-2866	43	16	solve	solve	VERB
cana-2866	43	17	the	the	DET
cana-2866	43	18	aforementioned	aforementioned	ADJ
cana-2866	43	19	issues	issue	NOUN
cana-2866	43	20	[	[	X
cana-2866	43	21	15	15	NUM
cana-2866	43	22	]	]	PUNCT
cana-2866	43	23	.	.	PUNCT
cana-2866	44	1	several	several	ADJ
cana-2866	44	2	biomedical	biomedical	ADJ
cana-2866	44	3	image	image	NOUN
cana-2866	44	4	processing	processing	NOUN
cana-2866	44	5	(	(	PUNCT
cana-2866	44	6	bip	bip	PROPN
cana-2866	44	7	)	)	PUNCT
cana-2866	44	8	issues	issue	NOUN
cana-2866	44	9	have	have	AUX
cana-2866	44	10	been	be	AUX
cana-2866	44	11	addressed	address	VERB
cana-2866	44	12	with	with	ADP
cana-2866	44	13	the	the	DET
cana-2866	44	14	cnn	cnn	PROPN
cana-2866	44	15	technique	technique	NOUN
cana-2866	44	16	,	,	PUNCT
cana-2866	44	17	with	with	ADP
cana-2866	44	18	one	one	NUM
cana-2866	44	19	of	of	ADP
cana-2866	44	20	them	they	PRON
cana-2866	44	21	including	include	VERB
cana-2866	44	22	the	the	DET
cana-2866	44	23	segmentation	segmentation	NOUN
cana-2866	44	24	of	of	ADP
cana-2866	44	25	medical	medical	ADJ
cana-2866	44	26	pictures	picture	NOUN
cana-2866	44	27	[	[	X
cana-2866	44	28	16	16	NUM
cana-2866	44	29	]	]	PUNCT
cana-2866	44	30	.	.	PUNCT
cana-2866	45	1	because	because	SCONJ
cana-2866	45	2	convolutional	convolutional	ADJ
cana-2866	45	3	calculations	calculation	NOUN
cana-2866	45	4	are	be	AUX
cana-2866	45	5	made	make	VERB
cana-2866	45	6	repeatedly	repeatedly	ADV
cana-2866	45	7	during	during	ADP
cana-2866	45	8	training	training	NOUN
cana-2866	45	9	and	and	CCONJ
cana-2866	45	10	prediction	prediction	NOUN
cana-2866	45	11	,	,	PUNCT
cana-2866	45	12	it	it	PRON
cana-2866	45	13	results	result	VERB
cana-2866	45	14	in	in	ADP
cana-2866	45	15	significant	significant	ADJ
cana-2866	45	16	capacity	capacity	NOUN
cana-2866	45	17	overhead	overhead	ADV
cana-2866	45	18	and	and	CCONJ
cana-2866	45	19	low	low	ADJ
cana-2866	45	20	estimate	estimate	NOUN
cana-2866	45	21	efficiency	efficiency	NOUN
cana-2866	45	22	[	[	X
cana-2866	45	23	17	17	NUM
cana-2866	45	24	]	]	PUNCT
cana-2866	45	25	.	.	PUNCT
cana-2866	46	1	the	the	DET
cana-2866	46	2	accuracy	accuracy	NOUN
cana-2866	46	3	of	of	ADP
cana-2866	46	4	segmentation	segmentation	NOUN
cana-2866	46	5	is	be	AUX
cana-2866	46	6	decreased	decrease	VERB
cana-2866	46	7	in	in	ADP
cana-2866	46	8	this	this	DET
cana-2866	46	9	approach	approach	NOUN
cana-2866	46	10	because	because	SCONJ
cana-2866	46	11	large	large	ADJ
cana-2866	46	12	image	image	NOUN
cana-2866	46	13	blocks	block	VERB
cana-2866	46	14	necessitate	necessitate	ADJ
cana-2866	46	15	several	several	ADJ
cana-2866	46	16	pooling	pool	VERB
cana-2866	46	17	layers	layer	NOUN
cana-2866	46	18	.	.	PUNCT
cana-2866	47	1	conversely	conversely	ADV
cana-2866	47	2	,	,	PUNCT
cana-2866	47	3	the	the	DET
cana-2866	47	4	use	use	NOUN
cana-2866	47	5	of	of	ADP
cana-2866	47	6	a	a	DET
cana-2866	47	7	small	small	ADJ
cana-2866	47	8	picture	picture	NOUN
cana-2866	47	9	block	block	NOUN
cana-2866	47	10	as	as	ADP
cana-2866	47	11	input	input	NOUN
cana-2866	47	12	results	result	NOUN
cana-2866	47	13	in	in	ADP
cana-2866	47	14	smaller	small	ADJ
cana-2866	47	15	receptive	receptive	ADJ
cana-2866	47	16	fields	field	NOUN
cana-2866	47	17	.	.	PUNCT
cana-2866	48	1	with	with	ADP
cana-2866	48	2	limited	limited	ADJ
cana-2866	48	3	segmentation	segmentation	NOUN
cana-2866	48	4	accuracy	accuracy	NOUN
cana-2866	48	5	,	,	PUNCT
cana-2866	48	6	these	these	DET
cana-2866	48	7	small	small	ADJ
cana-2866	48	8	-	-	PUNCT
cana-2866	48	9	sized	sized	ADJ
cana-2866	48	10	receptive	receptive	ADJ
cana-2866	48	11	fields	field	NOUN
cana-2866	48	12	only	only	ADV
cana-2866	48	13	extract	extract	VERB
cana-2866	48	14	the	the	DET
cana-2866	48	15	local	local	ADJ
cana-2866	48	16	characteristics	characteristic	NOUN
cana-2866	48	17	.	.	PUNCT
cana-2866	49	1	a	a	DET
cana-2866	49	2	number	number	NOUN
cana-2866	49	3	of	of	ADP
cana-2866	49	4	techniques	technique	NOUN
cana-2866	49	5	,	,	PUNCT
cana-2866	49	6	including	include	VERB
cana-2866	49	7	the	the	DET
cana-2866	49	8	removal	removal	NOUN
cana-2866	49	9	of	of	ADP
cana-2866	49	10	the	the	DET
cana-2866	49	11	pectoral	pectoral	ADJ
cana-2866	49	12	muscle	muscle	NOUN
cana-2866	49	13	and	and	CCONJ
cana-2866	49	14	the	the	DET
cana-2866	49	15	background	background	NOUN
cana-2866	49	16	from	from	ADP
cana-2866	49	17	images	image	NOUN
cana-2866	49	18	,	,	PUNCT
cana-2866	49	19	have	have	AUX
cana-2866	49	20	been	be	AUX
cana-2866	49	21	previously	previously	ADV
cana-2866	49	22	proposed	propose	VERB
cana-2866	49	23	by	by	ADP
cana-2866	49	24	researchers	researcher	NOUN
cana-2866	49	25	[	[	X
cana-2866	49	26	18	18	NUM
cana-2866	49	27	]	]	PUNCT
cana-2866	49	28	.	.	PUNCT
cana-2866	50	1	a	a	DET
cana-2866	50	2	critical	critical	ADJ
cana-2866	50	3	stage	stage	NOUN
cana-2866	50	4	in	in	ADP
cana-2866	50	5	medical	medical	ADJ
cana-2866	50	6	image	image	NOUN
cana-2866	50	7	processing	processing	NOUN
cana-2866	50	8	is	be	AUX
cana-2866	50	9	the	the	DET
cana-2866	50	10	extraction	extraction	NOUN
cana-2866	50	11	of	of	ADP
cana-2866	50	12	the	the	DET
cana-2866	50	13	region	region	NOUN
cana-2866	50	14	of	of	ADP
cana-2866	50	15	interest	interest	NOUN
cana-2866	50	16	(	(	PUNCT
cana-2866	50	17	roi	roi	NOUN
cana-2866	50	18	)	)	PUNCT
cana-2866	50	19	.	.	PUNCT
cana-2866	51	1	the	the	DET
cana-2866	51	2	important	important	ADJ
cana-2866	51	3	or	or	CCONJ
cana-2866	51	4	crucial	crucial	ADJ
cana-2866	51	5	areas	area	NOUN
cana-2866	51	6	of	of	ADP
cana-2866	51	7	the	the	DET
cana-2866	51	8	picture	picture	NOUN
cana-2866	51	9	are	be	AUX
cana-2866	51	10	typically	typically	ADV
cana-2866	51	11	where	where	SCONJ
cana-2866	51	12	roi	roi	NOUN
cana-2866	51	13	is	be	AUX
cana-2866	51	14	most	most	ADV
cana-2866	51	15	understood	understand	VERB
cana-2866	51	16	.	.	PUNCT
cana-2866	52	1	roi	roi	NOUN
cana-2866	52	2	can	can	AUX
cana-2866	52	3	typically	typically	ADV
cana-2866	52	4	be	be	AUX
cana-2866	52	5	used	use	VERB
cana-2866	52	6	to	to	PART
cana-2866	52	7	extract	extract	VERB
cana-2866	52	8	a	a	DET
cana-2866	52	9	quick	quick	ADJ
cana-2866	52	10	image	image	NOUN
cana-2866	52	11	processing	processing	NOUN
cana-2866	52	12	approach	approach	NOUN
cana-2866	52	13	and	and	CCONJ
cana-2866	52	14	to	to	PART
cana-2866	52	15	remove	remove	VERB
cana-2866	52	16	unnecessary	unnecessary	ADJ
cana-2866	52	17	portions	portion	NOUN
cana-2866	52	18	of	of	ADP
cana-2866	52	19	the	the	DET
cana-2866	52	20	image	image	NOUN
cana-2866	52	21	.	.	PUNCT
cana-2866	53	1	identifying	identify	VERB
cana-2866	53	2	the	the	DET
cana-2866	53	3	region	region	NOUN
cana-2866	53	4	of	of	ADP
cana-2866	53	5	interest	interest	NOUN
cana-2866	53	6	by	by	ADP
cana-2866	53	7	segmentation	segmentation	NOUN
cana-2866	53	8	is	be	AUX
cana-2866	53	9	found	find	VERB
cana-2866	53	10	to	to	PART
cana-2866	53	11	be	be	AUX
cana-2866	53	12	a	a	DET
cana-2866	53	13	challenging	challenging	ADJ
cana-2866	53	14	task	task	NOUN
cana-2866	53	15	[	[	X
cana-2866	53	16	19	19	NUM
cana-2866	53	17	]	]	PUNCT
cana-2866	53	18	.	.	PUNCT
cana-2866	54	1	therefore	therefore	ADV
cana-2866	54	2	,	,	PUNCT
cana-2866	54	3	a	a	DET
cana-2866	54	4	good	good	ADJ
cana-2866	54	5	segmentation	segmentation	NOUN
cana-2866	54	6	is	be	AUX
cana-2866	54	7	needed	need	VERB
cana-2866	54	8	for	for	ADP
cana-2866	54	9	mammographic	mammographic	ADJ
cana-2866	54	10	images	image	NOUN
cana-2866	54	11	for	for	ADP
cana-2866	54	12	accurate	accurate	ADJ
cana-2866	54	13	classification	classification	NOUN
cana-2866	54	14	.	.	PUNCT
cana-2866	55	1	this	this	DET
cana-2866	55	2	paper	paper	NOUN
cana-2866	55	3	utilized	utilize	VERB
cana-2866	55	4	k	k	X
cana-2866	55	5	-	-	PUNCT
cana-2866	55	6	means	mean	VERB
cana-2866	55	7	algorithm	algorithm	NOUN
cana-2866	55	8	for	for	ADP
cana-2866	55	9	segmentation	segmentation	NOUN
cana-2866	55	10	.	.	PUNCT
cana-2866	56	1	however	however	ADV
cana-2866	56	2	,	,	PUNCT
cana-2866	56	3	there	there	PRON
cana-2866	56	4	has	have	AUX
cana-2866	56	5	been	be	AUX
cana-2866	56	6	little	little	ADJ
cana-2866	56	7	research	research	NOUN
cana-2866	56	8	on	on	ADP
cana-2866	56	9	pre	pre	ADJ
cana-2866	56	10	-	-	ADJ
cana-2866	56	11	processing	processing	ADJ
cana-2866	56	12	image	image	NOUN
cana-2866	56	13	enhancing	enhance	VERB
cana-2866	56	14	methods	method	NOUN
cana-2866	56	15	.	.	PUNCT
cana-2866	57	1	this	this	DET
cana-2866	57	2	research	research	NOUN
cana-2866	57	3	aims	aim	VERB
cana-2866	57	4	to	to	PART
cana-2866	57	5	propose	propose	VERB
cana-2866	57	6	effective	effective	ADJ
cana-2866	57	7	approaches	approach	NOUN
cana-2866	57	8	for	for	ADP
cana-2866	57	9	image	image	NOUN
cana-2866	57	10	segmentation	segmentation	NOUN
cana-2866	57	11	and	and	CCONJ
cana-2866	57	12	enhancement	enhancement	NOUN
cana-2866	57	13	.	.	PUNCT
cana-2866	58	1	the	the	DET
cana-2866	58	2	processed	process	VERB
cana-2866	58	3	images	image	NOUN
cana-2866	58	4	are	be	AUX
cana-2866	58	5	examined	examine	VERB
cana-2866	58	6	to	to	PART
cana-2866	58	7	ensure	ensure	VERB
cana-2866	58	8	that	that	SCONJ
cana-2866	58	9	the	the	DET
cana-2866	58	10	suggested	suggest	VERB
cana-2866	58	11	approaches	approach	NOUN
cana-2866	58	12	do	do	AUX
cana-2866	58	13	not	not	PART
cana-2866	58	14	negatively	negatively	ADV
cana-2866	58	15	impact	impact	VERB
cana-2866	58	16	the	the	DET
cana-2866	58	17	region	region	NOUN
cana-2866	58	18	of	of	ADP
cana-2866	58	19	interest	interest	NOUN
cana-2866	58	20	(	(	PUNCT
cana-2866	58	21	roi	roi	NOUN
cana-2866	58	22	)	)	PUNCT
cana-2866	58	23	or	or	CCONJ
cana-2866	58	24	pixel	pixel	PROPN
cana-2866	58	25	quality	quality	NOUN
cana-2866	58	26	.	.	PUNCT
cana-2866	59	1	preprocessing	preprocesse	VERB
cana-2866	59	2	techniques	technique	NOUN
cana-2866	59	3	are	be	AUX
cana-2866	59	4	applied	apply	VERB
cana-2866	59	5	to	to	ADP
cana-2866	59	6	mammography	mammography	NOUN
cana-2866	59	7	pictures	picture	NOUN
cana-2866	59	8	in	in	ADP
cana-2866	59	9	order	order	NOUN
cana-2866	59	10	to	to	PART
cana-2866	59	11	minimize	minimize	VERB
cana-2866	59	12	undesired	undesired	ADJ
cana-2866	59	13	areas	area	NOUN
cana-2866	59	14	and	and	CCONJ
cana-2866	59	15	improve	improve	VERB
cana-2866	59	16	local	local	ADJ
cana-2866	59	17	details	detail	NOUN
cana-2866	59	18	,	,	PUNCT
cana-2866	59	19	hence	hence	ADV
cana-2866	59	20	facilitating	facilitate	VERB
cana-2866	59	21	the	the	DET
cana-2866	59	22	detection	detection	NOUN
cana-2866	59	23	of	of	ADP
cana-2866	59	24	rois	rois	PROPN
cana-2866	59	25	and	and	CCONJ
cana-2866	59	26	regions	region	NOUN
cana-2866	59	27	within	within	ADP
cana-2866	59	28	rois	rois	PROPN
cana-2866	59	29	.	.	PUNCT
cana-2866	60	1	thus	thus	ADV
cana-2866	60	2	,	,	PUNCT
cana-2866	60	3	in	in	ADP
cana-2866	60	4	this	this	DET
cana-2866	60	5	research	research	NOUN
cana-2866	60	6	images	image	NOUN
cana-2866	60	7	are	be	AUX
cana-2866	60	8	preprocessed	preprocesse	VERB
cana-2866	60	9	prior	prior	ADJ
cana-2866	60	10	segmentation	segmentation	NOUN
cana-2866	60	11	.	.	PUNCT
cana-2866	61	1	the	the	DET
cana-2866	61	2	proposed	propose	VERB
cana-2866	61	3	work	work	NOUN
cana-2866	61	4	used	use	VERB
cana-2866	61	5	rolling	roll	VERB
cana-2866	61	6	ball	ball	NOUN
cana-2866	61	7	algorithm	algorithm	NOUN
cana-2866	61	8	for	for	ADP
cana-2866	61	9	background	background	NOUN
cana-2866	61	10	removal	removal	NOUN
cana-2866	61	11	,	,	PUNCT
cana-2866	61	12	and	and	CCONJ
cana-2866	61	13	clahe	clahe	NOUN
cana-2866	61	14	for	for	ADP
cana-2866	61	15	improving	improve	VERB
cana-2866	61	16	the	the	DET
cana-2866	61	17	contrast	contrast	NOUN
cana-2866	61	18	.	.	PUNCT
cana-2866	62	1	further	far	ADV
cana-2866	62	2	the	the	DET
cana-2866	62	3	proposed	propose	VERB
cana-2866	62	4	system	system	NOUN
cana-2866	62	5	compares	compare	VERB
cana-2866	62	6	clahe	clahe	NOUN
cana-2866	62	7	and	and	CCONJ
cana-2866	62	8	unsharp	unsharp	ADJ
cana-2866	62	9	for	for	ADP
cana-2866	62	10	shading	shade	VERB
cana-2866	62	11	correction	correction	NOUN
cana-2866	62	12	on	on	ADP
cana-2866	62	13	mias	mias	PROPN
cana-2866	62	14	images	image	NOUN
cana-2866	62	15	.	.	PUNCT
cana-2866	63	1	2	2	X
cana-2866	63	2	.	.	X
cana-2866	63	3	parallel	parallel	ADJ
cana-2866	63	4	research	research	NOUN
cana-2866	63	5	work	work	NOUN
cana-2866	63	6	this	this	DET
cana-2866	63	7	work	work	NOUN
cana-2866	63	8	tries	try	VERB
cana-2866	63	9	to	to	PART
cana-2866	63	10	improve	improve	VERB
cana-2866	63	11	classification	classification	NOUN
cana-2866	63	12	performance	performance	NOUN
cana-2866	63	13	with	with	ADP
cana-2866	63	14	mammographic	mammographic	ADJ
cana-2866	63	15	imaging	imaging	NOUN
cana-2866	63	16	.	.	PUNCT
cana-2866	64	1	this	this	DET
cana-2866	64	2	section	section	NOUN
cana-2866	64	3	highlights	highlight	VERB
cana-2866	64	4	image	image	NOUN
cana-2866	64	5	preprocessing	preprocessing	NOUN
cana-2866	64	6	techniques	technique	NOUN
cana-2866	64	7	,	,	PUNCT
cana-2866	64	8	segmentation	segmentation	NOUN
cana-2866	64	9	techniques	technique	NOUN
cana-2866	64	10	and	and	CCONJ
cana-2866	64	11	deep	deep	ADJ
cana-2866	64	12	learning	learning	NOUN
cana-2866	64	13	works	work	NOUN
cana-2866	64	14	,	,	PUNCT
cana-2866	64	15	that	that	PRON
cana-2866	64	16	were	be	AUX
cana-2866	64	17	carried	carry	VERB
cana-2866	64	18	out	out	ADP
cana-2866	64	19	for	for	ADP
cana-2866	64	20	breast	breast	NOUN
cana-2866	64	21	mass	mass	NOUN
cana-2866	64	22	classification	classification	NOUN
cana-2866	64	23	,	,	PUNCT
cana-2866	64	24	in	in	ADP
cana-2866	64	25	the	the	DET
cana-2866	64	26	past	past	NOUN
cana-2866	64	27	.	.	PUNCT
cana-2866	65	1	the	the	PRON
cana-2866	65	2	,	,	PUNCT
cana-2866	65	3	preprocessing	preprocessing	NOUN
cana-2866	65	4	is	be	AUX
cana-2866	65	5	crucial	crucial	ADJ
cana-2866	65	6	for	for	ADP
cana-2866	65	7	improving	improve	VERB
cana-2866	65	8	communications	communication	NOUN
cana-2866	65	9	on	on	ADP
cana-2866	65	10	applied	apply	VERB
cana-2866	65	11	nonlinear	nonlinear	ADJ
cana-2866	65	12	analysis	analysis	NOUN
cana-2866	65	13	issn	issn	NOUN
cana-2866	65	14	:	:	PUNCT
cana-2866	65	15	1074	1074	NUM
cana-2866	65	16	-	-	PUNCT
cana-2866	65	17	133x	133x	NUM
cana-2866	65	18	vol	vol	NOUN
cana-2866	65	19	32	32	NUM
cana-2866	65	20	no	no	NOUN
cana-2866	65	21	.	.	PUNCT
cana-2866	66	1	4s	4s	NUM
cana-2866	66	2	(	(	PUNCT
cana-2866	66	3	2025	2025	NUM
cana-2866	66	4	)	)	PUNCT
cana-2866	66	5	482	482	NUM
cana-2866	66	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2866	66	7	the	the	DET
cana-2866	66	8	features	feature	NOUN
cana-2866	66	9	of	of	ADP
cana-2866	66	10	mammogram	mammogram	NOUN
cana-2866	66	11	images	image	NOUN
cana-2866	66	12	in	in	ADP
cana-2866	66	13	order	order	NOUN
cana-2866	66	14	to	to	PART
cana-2866	66	15	maximize	maximize	VERB
cana-2866	66	16	roi	roi	NOUN
cana-2866	66	17	extraction	extraction	NOUN
cana-2866	66	18	.	.	PUNCT
cana-2866	67	1	past	past	ADJ
cana-2866	67	2	researchers	researcher	NOUN
cana-2866	67	3	have	have	AUX
cana-2866	67	4	suggested	suggest	VERB
cana-2866	67	5	a	a	DET
cana-2866	67	6	number	number	NOUN
cana-2866	67	7	of	of	ADP
cana-2866	67	8	techniques	technique	NOUN
cana-2866	67	9	[	[	X
cana-2866	67	10	20	20	NUM
cana-2866	67	11	-	-	PUNCT
cana-2866	67	12	23],[24	23],[24	NUM
cana-2866	67	13	]	]	PUNCT
cana-2866	67	14	to	to	PART
cana-2866	67	15	eliminate	eliminate	VERB
cana-2866	67	16	the	the	DET
cana-2866	67	17	background	background	NOUN
cana-2866	67	18	from	from	ADP
cana-2866	67	19	mammograms	mammogram	NOUN
cana-2866	67	20	and	and	CCONJ
cana-2866	67	21	optimizing	optimize	VERB
cana-2866	67	22	contrast	contrast	NOUN
cana-2866	67	23	enhancement	enhancement	NOUN
cana-2866	67	24	in	in	ADP
cana-2866	67	25	order	order	NOUN
cana-2866	67	26	to	to	PART
cana-2866	67	27	prevent	prevent	VERB
cana-2866	67	28	artifacts	artifact	NOUN
cana-2866	67	29	and	and	CCONJ
cana-2866	67	30	noise	noise	NOUN
cana-2866	67	31	.	.	PUNCT
cana-2866	68	1	but	but	CCONJ
cana-2866	68	2	none	none	NOUN
cana-2866	68	3	of	of	ADP
cana-2866	68	4	these	these	DET
cana-2866	68	5	techniques	technique	NOUN
cana-2866	68	6	make	make	VERB
cana-2866	68	7	an	an	DET
cana-2866	68	8	effort	effort	NOUN
cana-2866	68	9	to	to	PART
cana-2866	68	10	provide	provide	VERB
cana-2866	68	11	an	an	DET
cana-2866	68	12	efficient	efficient	ADJ
cana-2866	68	13	image	image	NOUN
cana-2866	68	14	enhancement	enhancement	NOUN
cana-2866	68	15	.	.	PUNCT
cana-2866	69	1	for	for	ADP
cana-2866	69	2	background	background	NOUN
cana-2866	69	3	removal	removal	NOUN
cana-2866	69	4	,	,	PUNCT
cana-2866	69	5	this	this	DET
cana-2866	69	6	study	study	NOUN
cana-2866	69	7	used	use	VERB
cana-2866	69	8	"	"	PUNCT
cana-2866	69	9	rolling	roll	VERB
cana-2866	69	10	ball	ball	NOUN
cana-2866	69	11	algorithm	algorithm	NOUN
cana-2866	69	12	"	"	PUNCT
cana-2866	69	13	and	and	CCONJ
cana-2866	69	14	contrast	contrast	VERB
cana-2866	69	15	limited	limited	ADJ
cana-2866	69	16	histogram	histogram	NOUN
cana-2866	69	17	equalization	equalization	NOUN
cana-2866	69	18	(	(	PUNCT
cana-2866	69	19	clahe	clahe	PROPN
cana-2866	69	20	)	)	PUNCT
cana-2866	69	21	is	be	AUX
cana-2866	69	22	used	use	VERB
cana-2866	69	23	for	for	ADP
cana-2866	69	24	improving	improve	VERB
cana-2866	69	25	the	the	DET
cana-2866	69	26	contrast	contrast	NOUN
cana-2866	69	27	of	of	ADP
cana-2866	69	28	the	the	DET
cana-2866	69	29	image	image	NOUN
cana-2866	69	30	.	.	PUNCT
cana-2866	70	1	the	the	DET
cana-2866	70	2	rolling	rolling	ADJ
cana-2866	70	3	ball	ball	NOUN
cana-2866	70	4	technique	technique	NOUN
cana-2866	70	5	[	[	X
cana-2866	70	6	25	25	NUM
cana-2866	70	7	]	]	PUNCT
cana-2866	70	8	was	be	AUX
cana-2866	70	9	able	able	ADJ
cana-2866	70	10	to	to	PART
cana-2866	70	11	recreate	recreate	VERB
cana-2866	70	12	the	the	DET
cana-2866	70	13	lungs	lung	NOUN
cana-2866	70	14	during	during	ADP
cana-2866	70	15	the	the	DET
cana-2866	70	16	lung	lung	NOUN
cana-2866	70	17	image	image	NOUN
cana-2866	70	18	segmentation	segmentation	NOUN
cana-2866	70	19	stage	stage	NOUN
cana-2866	70	20	,	,	PUNCT
cana-2866	70	21	keeping	keep	VERB
cana-2866	70	22	the	the	DET
cana-2866	70	23	lung	lung	NOUN
cana-2866	70	24	wall	wall	NOUN
cana-2866	70	25	intact	intact	ADJ
cana-2866	70	26	.	.	PUNCT
cana-2866	71	1	they	they	PRON
cana-2866	71	2	outperformed	outperform	VERB
cana-2866	71	3	most	most	ADJ
cana-2866	71	4	of	of	ADP
cana-2866	71	5	the	the	DET
cana-2866	71	6	other	other	ADJ
cana-2866	71	7	models	model	NOUN
cana-2866	71	8	with	with	ADP
cana-2866	71	9	an	an	DET
cana-2866	71	10	accuracy	accuracy	NOUN
cana-2866	71	11	of	of	ADP
cana-2866	71	12	89.89	89.89	NUM
cana-2866	71	13	%	%	NOUN
cana-2866	71	14	using	use	VERB
cana-2866	71	15	their	their	PRON
cana-2866	71	16	convolutional	convolutional	ADJ
cana-2866	71	17	neural	neural	ADJ
cana-2866	71	18	network	network	NOUN
cana-2866	71	19	.	.	PUNCT
cana-2866	72	1	recently	recently	ADV
cana-2866	72	2	the	the	DET
cana-2866	72	3	rolling	rolling	ADJ
cana-2866	72	4	ball	ball	NOUN
cana-2866	72	5	approach	approach	NOUN
cana-2866	72	6	was	be	AUX
cana-2866	72	7	employed	employ	VERB
cana-2866	72	8	[	[	X
cana-2866	72	9	26	26	NUM
cana-2866	72	10	]	]	PUNCT
cana-2866	72	11	to	to	PART
cana-2866	72	12	identify	identify	VERB
cana-2866	72	13	led	lead	VERB
cana-2866	72	14	-	-	PUNCT
cana-2866	72	15	induced	induce	VERB
cana-2866	72	16	electromagnetic	electromagnetic	ADJ
cana-2866	72	17	interference	interference	NOUN
cana-2866	72	18	in	in	ADP
cana-2866	72	19	high	high	ADJ
cana-2866	72	20	-	-	PUNCT
cana-2866	72	21	frequency	frequency	NOUN
cana-2866	72	22	radar	radar	NOUN
cana-2866	72	23	range	range	NOUN
cana-2866	72	24	-	-	PUNCT
cana-2866	72	25	doppler	doppler	NOUN
cana-2866	72	26	images	image	NOUN
cana-2866	72	27	.	.	PUNCT
cana-2866	73	1	this	this	DET
cana-2866	73	2	approach	approach	NOUN
cana-2866	73	3	detected	detect	VERB
cana-2866	73	4	and	and	CCONJ
cana-2866	73	5	removed	remove	VERB
cana-2866	73	6	the	the	DET
cana-2866	73	7	background	background	NOUN
cana-2866	73	8	with	with	ADP
cana-2866	73	9	a	a	DET
cana-2866	73	10	91	91	NUM
cana-2866	73	11	%	%	NOUN
cana-2866	73	12	probability	probability	NOUN
cana-2866	73	13	when	when	SCONJ
cana-2866	73	14	they	they	PRON
cana-2866	73	15	employed	employ	VERB
cana-2866	73	16	a	a	DET
cana-2866	73	17	rolling	rolling	ADJ
cana-2866	73	18	ball	ball	NOUN
cana-2866	73	19	to	to	PART
cana-2866	73	20	erase	erase	VERB
cana-2866	73	21	uneven	uneven	ADJ
cana-2866	73	22	backgrounds	background	NOUN
cana-2866	73	23	from	from	ADP
cana-2866	73	24	photos	photo	NOUN
cana-2866	73	25	.	.	PUNCT
cana-2866	74	1	basile	basile	NOUN
cana-2866	74	2	et	et	PROPN
cana-2866	74	3	al	al	PROPN
cana-2866	74	4	.	.	PUNCT
cana-2866	75	1	[	[	X
cana-2866	75	2	27	27	NUM
cana-2866	75	3	]	]	PUNCT
cana-2866	75	4	made	make	VERB
cana-2866	75	5	use	use	NOUN
cana-2866	75	6	of	of	ADP
cana-2866	75	7	the	the	DET
cana-2866	75	8	rolling	rolling	ADJ
cana-2866	75	9	ball	ball	NOUN
cana-2866	75	10	algorithm	algorithm	NOUN
cana-2866	75	11	to	to	ADP
cana-2866	75	12	mammography	mammography	NOUN
cana-2866	75	13	,	,	PUNCT
cana-2866	75	14	to	to	PART
cana-2866	75	15	identify	identify	VERB
cana-2866	75	16	micro	micro	NOUN
cana-2866	75	17	-	-	NOUN
cana-2866	75	18	calcifications	calcification	NOUN
cana-2866	75	19	in	in	ADP
cana-2866	75	20	mammograms	mammogram	NOUN
cana-2866	75	21	,	,	PUNCT
cana-2866	75	22	and	and	CCONJ
cana-2866	75	23	to	to	PART
cana-2866	75	24	highlight	highlight	VERB
cana-2866	75	25	the	the	DET
cana-2866	75	26	main	main	ADJ
cana-2866	75	27	areas	area	NOUN
cana-2866	75	28	,	,	PUNCT
cana-2866	75	29	and	and	CCONJ
cana-2866	75	30	resulted	result	VERB
cana-2866	75	31	with	with	ADP
cana-2866	75	32	91.78	91.78	NUM
cana-2866	75	33	%	%	NOUN
cana-2866	75	34	true	true	ADJ
cana-2866	75	35	positive	positive	ADJ
cana-2866	75	36	rate	rate	NOUN
cana-2866	75	37	.	.	PUNCT
cana-2866	76	1	and	and	CCONJ
cana-2866	76	2	it	it	PRON
cana-2866	76	3	is	be	AUX
cana-2866	76	4	also	also	ADV
cana-2866	76	5	used	use	VERB
cana-2866	76	6	to	to	PART
cana-2866	76	7	eliminate	eliminate	VERB
cana-2866	76	8	noise	noise	NOUN
cana-2866	76	9	and	and	CCONJ
cana-2866	76	10	locate	locate	ADJ
cana-2866	76	11	intensity	intensity	NOUN
cana-2866	76	12	level	level	NOUN
cana-2866	76	13	artifacts	artifact	NOUN
cana-2866	76	14	in	in	ADP
cana-2866	76	15	the	the	DET
cana-2866	76	16	mammography	mammography	NOUN
cana-2866	76	17	image	image	NOUN
cana-2866	76	18	.	.	PUNCT
cana-2866	77	1	the	the	DET
cana-2866	77	2	overfitting	overfitte	VERB
cana-2866	77	3	problems	problem	NOUN
cana-2866	77	4	can	can	AUX
cana-2866	77	5	be	be	AUX
cana-2866	77	6	avoided	avoid	VERB
cana-2866	77	7	by	by	ADP
cana-2866	77	8	augmenting	augment	VERB
cana-2866	77	9	data	datum	NOUN
cana-2866	77	10	by	by	ADP
cana-2866	77	11	generating	generate	VERB
cana-2866	77	12	datasets	dataset	NOUN
cana-2866	77	13	by	by	ADP
cana-2866	77	14	applying	apply	VERB
cana-2866	77	15	different	different	ADJ
cana-2866	77	16	transformations	transformation	NOUN
cana-2866	77	17	.	.	PUNCT
cana-2866	78	1	the	the	DET
cana-2866	78	2	both	both	CCONJ
cana-2866	78	3	local	local	ADJ
cana-2866	78	4	and	and	CCONJ
cana-2866	78	5	global	global	ADJ
cana-2866	78	6	contrast	contrast	NOUN
cana-2866	78	7	normalization	normalization	NOUN
cana-2866	78	8	can	can	AUX
cana-2866	78	9	shorten	shorten	VERB
cana-2866	78	10	training	training	NOUN
cana-2866	78	11	times	time	NOUN
cana-2866	78	12	and	and	CCONJ
cana-2866	78	13	increase	increase	VERB
cana-2866	78	14	performance	performance	NOUN
cana-2866	78	15	[	[	X
cana-2866	78	16	28	28	NUM
cana-2866	78	17	]	]	PUNCT
cana-2866	78	18	,	,	PUNCT
cana-2866	78	19	and	and	CCONJ
cana-2866	78	20	it	it	PRON
cana-2866	78	21	has	have	AUX
cana-2866	78	22	resulted	result	VERB
cana-2866	78	23	an	an	DET
cana-2866	78	24	86	86	NUM
cana-2866	78	25	%	%	NOUN
cana-2866	78	26	auc	auc	NOUN
cana-2866	78	27	.	.	PUNCT
cana-2866	79	1	if	if	SCONJ
cana-2866	79	2	at	at	ADV
cana-2866	79	3	all	all	DET
cana-2866	79	4	a	a	DET
cana-2866	79	5	good	good	ADJ
cana-2866	79	6	preprocessing	preprocessing	NOUN
cana-2866	79	7	technique	technique	NOUN
cana-2866	79	8	might	might	AUX
cana-2866	79	9	have	have	AUX
cana-2866	79	10	employed	employ	VERB
cana-2866	79	11	,	,	PUNCT
cana-2866	79	12	the	the	DET
cana-2866	79	13	performance	performance	NOUN
cana-2866	79	14	might	might	AUX
cana-2866	79	15	have	have	AUX
cana-2866	79	16	increased	increase	VERB
cana-2866	79	17	.	.	PUNCT
cana-2866	80	1	the	the	DET
cana-2866	80	2	mathematical	mathematical	ADJ
cana-2866	80	3	grey	grey	ADJ
cana-2866	80	4	-	-	PUNCT
cana-2866	80	5	scale	scale	NOUN
cana-2866	80	6	morphology	morphology	NOUN
cana-2866	80	7	concepts	concept	NOUN
cana-2866	80	8	were	be	AUX
cana-2866	80	9	used	use	VERB
cana-2866	80	10	for	for	ADP
cana-2866	80	11	image	image	NOUN
cana-2866	80	12	segmentation	segmentation	NOUN
cana-2866	80	13	,	,	PUNCT
cana-2866	80	14	and	and	CCONJ
cana-2866	80	15	to	to	PART
cana-2866	80	16	eliminate	eliminate	VERB
cana-2866	80	17	noise	noise	NOUN
cana-2866	80	18	from	from	ADP
cana-2866	80	19	images	image	NOUN
cana-2866	80	20	.	.	PUNCT
cana-2866	81	1	a	a	DET
cana-2866	81	2	segmentation	segmentation	NOUN
cana-2866	81	3	technique	technique	NOUN
cana-2866	81	4	[	[	X
cana-2866	81	5	29	29	NUM
cana-2866	81	6	]	]	PUNCT
cana-2866	81	7	that	that	PRON
cana-2866	81	8	segments	segment	VERB
cana-2866	81	9	the	the	DET
cana-2866	81	10	image	image	NOUN
cana-2866	81	11	by	by	ADP
cana-2866	81	12	using	use	VERB
cana-2866	81	13	a	a	DET
cana-2866	81	14	convolutional	convolutional	ADJ
cana-2866	81	15	neural	neural	ADJ
cana-2866	81	16	network	network	NOUN
cana-2866	81	17	to	to	PART
cana-2866	81	18	identify	identify	VERB
cana-2866	81	19	the	the	DET
cana-2866	81	20	edges	edge	NOUN
cana-2866	81	21	and	and	CCONJ
cana-2866	81	22	the	the	DET
cana-2866	81	23	pectoral	pectoral	ADJ
cana-2866	81	24	muscle	muscle	NOUN
cana-2866	81	25	boundary	boundary	NOUN
cana-2866	81	26	was	be	AUX
cana-2866	81	27	proposed	propose	VERB
cana-2866	81	28	.	.	PUNCT
cana-2866	82	1	the	the	DET
cana-2866	82	2	disadvantage	disadvantage	NOUN
cana-2866	82	3	is	be	AUX
cana-2866	82	4	that	that	SCONJ
cana-2866	82	5	,	,	PUNCT
cana-2866	82	6	when	when	SCONJ
cana-2866	82	7	applied	apply	VERB
cana-2866	82	8	in	in	ADP
cana-2866	82	9	practice	practice	NOUN
cana-2866	82	10	,	,	PUNCT
cana-2866	82	11	creating	create	VERB
cana-2866	82	12	and	and	CCONJ
cana-2866	82	13	utilizing	utilize	VERB
cana-2866	82	14	one	one	NUM
cana-2866	82	15	cnn	cnn	NOUN
cana-2866	82	16	for	for	ADP
cana-2866	82	17	the	the	DET
cana-2866	82	18	purpose	purpose	NOUN
cana-2866	82	19	of	of	ADP
cana-2866	82	20	removing	remove	VERB
cana-2866	82	21	pectoral	pectoral	ADJ
cana-2866	82	22	muscle	muscle	NOUN
cana-2866	82	23	and	and	CCONJ
cana-2866	82	24	then	then	ADV
cana-2866	82	25	creating	create	VERB
cana-2866	82	26	a	a	DET
cana-2866	82	27	second	second	ADJ
cana-2866	82	28	cnn	cnn	NOUN
cana-2866	82	29	for	for	ADP
cana-2866	82	30	detection	detection	NOUN
cana-2866	82	31	and	and	CCONJ
cana-2866	82	32	diagnosis	diagnosis	NOUN
cana-2866	82	33	may	may	AUX
cana-2866	82	34	result	result	VERB
cana-2866	82	35	in	in	ADP
cana-2866	82	36	higher	high	ADJ
cana-2866	82	37	computational	computational	ADJ
cana-2866	82	38	expenses	expense	NOUN
cana-2866	82	39	and	and	CCONJ
cana-2866	82	40	times	time	NOUN
cana-2866	82	41	.	.	PUNCT
cana-2866	83	1	to	to	PART
cana-2866	83	2	address	address	VERB
cana-2866	83	3	this	this	PRON
cana-2866	83	4	,	,	PUNCT
cana-2866	83	5	this	this	DET
cana-2866	83	6	research	research	NOUN
cana-2866	83	7	suggests	suggest	VERB
cana-2866	83	8	that	that	SCONJ
cana-2866	83	9	segmentation	segmentation	NOUN
cana-2866	83	10	approach	approach	NOUN
cana-2866	83	11	after	after	ADP
cana-2866	83	12	the	the	DET
cana-2866	83	13	preprocessing	preprocessing	NOUN
cana-2866	83	14	stage	stage	NOUN
cana-2866	83	15	itself	itself	PRON
cana-2866	83	16	.	.	PUNCT
cana-2866	84	1	the	the	DET
cana-2866	84	2	local	local	ADJ
cana-2866	84	3	neighborhood	neighborhood	NOUN
cana-2866	84	4	approaches	approach	VERB
cana-2866	84	5	[	[	X
cana-2866	84	6	30,31,32,33,34,35	30,31,32,33,34,35	NUM
cana-2866	84	7	]	]	PUNCT
cana-2866	84	8	are	be	AUX
cana-2866	84	9	used	use	VERB
cana-2866	84	10	extensively	extensively	ADV
cana-2866	84	11	for	for	ADP
cana-2866	84	12	texture	texture	ADJ
cana-2866	84	13	and	and	CCONJ
cana-2866	84	14	feature	feature	NOUN
cana-2866	84	15	extraction	extraction	NOUN
cana-2866	84	16	.	.	PUNCT
cana-2866	85	1	these	these	DET
cana-2866	85	2	approaches	approach	NOUN
cana-2866	85	3	are	be	AUX
cana-2866	85	4	based	base	VERB
cana-2866	85	5	on	on	ADP
cana-2866	85	6	a	a	DET
cana-2866	85	7	3	3	NUM
cana-2866	85	8	×	×	NOUN
cana-2866	85	9	3	3	NUM
cana-2866	85	10	window	window	NOUN
cana-2866	85	11	.	.	PUNCT
cana-2866	86	1	the	the	DET
cana-2866	86	2	texton	texton	NOUN
cana-2866	86	3	approaches	approach	NOUN
cana-2866	86	4	are	be	AUX
cana-2866	86	5	also	also	ADV
cana-2866	86	6	used	use	VERB
cana-2866	86	7	for	for	ADP
cana-2866	86	8	the	the	DET
cana-2866	86	9	same	same	ADJ
cana-2866	86	10	[	[	X
cana-2866	86	11	36,37,38,39,40	36,37,38,39,40	NUM
cana-2866	86	12	]	]	X
cana-2866	86	13	.	.	PUNCT
cana-2866	87	1	these	these	DET
cana-2866	87	2	approaches	approach	NOUN
cana-2866	87	3	are	be	AUX
cana-2866	87	4	based	base	VERB
cana-2866	87	5	on	on	ADP
cana-2866	87	6	a	a	DET
cana-2866	87	7	2	2	NUM
cana-2866	87	8	×	×	NOUN
cana-2866	87	9	2	2	NUM
cana-2866	87	10	grid	grid	NOUN
cana-2866	87	11	.	.	PUNCT
cana-2866	88	1	for	for	ADP
cana-2866	88	2	classification	classification	NOUN
cana-2866	88	3	machine	machine	NOUN
cana-2866	88	4	learning	learn	VERB
cana-2866	88	5	algorithms	algorithm	NOUN
cana-2866	88	6	or	or	CCONJ
cana-2866	88	7	distance	distance	NOUN
cana-2866	88	8	functions	function	NOUN
cana-2866	88	9	are	be	AUX
cana-2866	88	10	used	use	VERB
cana-2866	88	11	[	[	PUNCT
cana-2866	88	12	41	41	NUM
cana-2866	88	13	]	]	PUNCT
cana-2866	88	14	.	.	PUNCT
cana-2866	89	1	by	by	ADP
cana-2866	89	2	adjusting	adjust	VERB
cana-2866	89	3	the	the	DET
cana-2866	89	4	magnification	magnification	NOUN
cana-2866	89	5	variables	variable	NOUN
cana-2866	89	6	,	,	PUNCT
cana-2866	89	7	a	a	DET
cana-2866	89	8	residual	residual	ADJ
cana-2866	89	9	neural	neural	ADJ
cana-2866	89	10	network	network	NOUN
cana-2866	89	11	model	model	NOUN
cana-2866	89	12	for	for	ADP
cana-2866	89	13	breast	breast	NOUN
cana-2866	89	14	cancer	cancer	NOUN
cana-2866	89	15	segmentation	segmentation	NOUN
cana-2866	89	16	is	be	AUX
cana-2866	89	17	proposed	propose	VERB
cana-2866	89	18	to	to	PART
cana-2866	89	19	compute	compute	VERB
cana-2866	89	20	the	the	DET
cana-2866	89	21	classification	classification	NOUN
cana-2866	89	22	accuracy	accuracy	NOUN
cana-2866	90	1	[	[	X
cana-2866	90	2	42	42	NUM
cana-2866	90	3	]	]	PUNCT
cana-2866	90	4	,	,	PUNCT
cana-2866	90	5	[	[	X
cana-2866	90	6	43	43	NUM
cana-2866	90	7	]	]	PUNCT
cana-2866	90	8	.	.	PUNCT
cana-2866	91	1	breast	breast	NOUN
cana-2866	91	2	ultrasound	ultrasound	NOUN
cana-2866	91	3	(	(	PUNCT
cana-2866	91	4	bus	bus	NOUN
cana-2866	91	5	)	)	PUNCT
cana-2866	91	6	imaging	imaging	NOUN
cana-2866	91	7	is	be	AUX
cana-2866	91	8	used	use	VERB
cana-2866	91	9	to	to	PART
cana-2866	91	10	find	find	VERB
cana-2866	91	11	abnormalities	abnormality	NOUN
cana-2866	91	12	in	in	ADP
cana-2866	91	13	the	the	DET
cana-2866	91	14	breast	breast	NOUN
cana-2866	91	15	using	use	VERB
cana-2866	91	16	diagnostic	diagnostic	ADJ
cana-2866	91	17	techniques	technique	NOUN
cana-2866	91	18	.	.	PUNCT
cana-2866	92	1	in	in	ADP
cana-2866	92	2	[	[	X
cana-2866	92	3	44	44	NUM
cana-2866	92	4	]	]	PUNCT
cana-2866	92	5	the	the	DET
cana-2866	92	6	breast	breast	NOUN
cana-2866	92	7	tissues	tissue	NOUN
cana-2866	92	8	are	be	AUX
cana-2866	92	9	categorized	categorize	VERB
cana-2866	92	10	into	into	ADP
cana-2866	92	11	two	two	NUM
cana-2866	92	12	groups	group	NOUN
cana-2866	92	13	:	:	PUNCT
cana-2866	92	14	dense	dense	ADJ
cana-2866	92	15	and	and	CCONJ
cana-2866	92	16	non	non	ADJ
cana-2866	92	17	-	-	ADJ
cana-2866	92	18	dense	dense	ADJ
cana-2866	92	19	,	,	PUNCT
cana-2866	92	20	and	and	CCONJ
cana-2866	92	21	mass	mass	ADJ
cana-2866	92	22	and	and	CCONJ
cana-2866	92	23	non	non	ADJ
cana-2866	92	24	-	-	ADJ
cana-2866	92	25	mass	mass	ADJ
cana-2866	92	26	.	.	PUNCT
cana-2866	93	1	the	the	DET
cana-2866	93	2	segmentation	segmentation	NOUN
cana-2866	93	3	and	and	CCONJ
cana-2866	93	4	preprocessing	preprocessing	NOUN
cana-2866	93	5	,	,	PUNCT
cana-2866	93	6	which	which	PRON
cana-2866	93	7	are	be	AUX
cana-2866	93	8	used	use	VERB
cana-2866	93	9	to	to	PART
cana-2866	93	10	categorize	categorize	VERB
cana-2866	93	11	the	the	DET
cana-2866	93	12	breast	breast	NOUN
cana-2866	93	13	region	region	NOUN
cana-2866	93	14	into	into	ADP
cana-2866	93	15	mass	mass	NOUN
cana-2866	93	16	and	and	CCONJ
cana-2866	93	17	non	non	ADJ
cana-2866	93	18	-	-	ADJ
cana-2866	93	19	mass	mass	ADJ
cana-2866	93	20	categories	category	NOUN
cana-2866	93	21	[	[	X
cana-2866	93	22	44	44	NUM
cana-2866	93	23	]	]	PUNCT
cana-2866	93	24	.	.	PUNCT
cana-2866	94	1	for	for	ADP
cana-2866	94	2	the	the	DET
cana-2866	94	3	non	non	ADJ
cana-2866	94	4	-	-	ADJ
cana-2866	94	5	dense	dense	ADJ
cana-2866	94	6	and	and	CCONJ
cana-2866	94	7	dense	dense	ADJ
cana-2866	94	8	classes	class	NOUN
cana-2866	94	9	,	,	PUNCT
cana-2866	94	10	the	the	DET
cana-2866	94	11	accuracy	accuracy	NOUN
cana-2866	94	12	of	of	ADP
cana-2866	94	13	the	the	DET
cana-2866	94	14	95.6	95.6	NUM
cana-2866	94	15	%	%	NOUN
cana-2866	94	16	and	and	CCONJ
cana-2866	94	17	97.72	97.72	NUM
cana-2866	94	18	%	%	NOUN
cana-2866	94	19	,	,	PUNCT
cana-2866	94	20	are	be	AUX
cana-2866	94	21	reported	report	VERB
cana-2866	94	22	respectively	respectively	ADV
cana-2866	94	23	.	.	PUNCT
cana-2866	95	1	in	in	ADP
cana-2866	95	2	this	this	DET
cana-2866	95	3	research	research	NOUN
cana-2866	95	4	we	we	PRON
cana-2866	95	5	have	have	AUX
cana-2866	95	6	used	use	VERB
cana-2866	95	7	cnn	cnn	PROPN
cana-2866	95	8	for	for	ADP
cana-2866	95	9	feature	feature	NOUN
cana-2866	95	10	extraction	extraction	NOUN
cana-2866	95	11	and	and	CCONJ
cana-2866	95	12	classification	classification	NOUN
cana-2866	95	13	of	of	ADP
cana-2866	95	14	images	image	NOUN
cana-2866	95	15	.	.	PUNCT
cana-2866	96	1	3	3	X
cana-2866	96	2	.	.	NUM
cana-2866	96	3	proposed	propose	VERB
cana-2866	96	4	method	method	NOUN
cana-2866	96	5	the	the	DET
cana-2866	96	6	proposed	propose	VERB
cana-2866	96	7	approach	approach	NOUN
cana-2866	96	8	of	of	ADP
cana-2866	96	9	this	this	DET
cana-2866	96	10	research	research	NOUN
cana-2866	96	11	is	be	AUX
cana-2866	96	12	based	base	VERB
cana-2866	96	13	on	on	ADP
cana-2866	96	14	i	i	PROPN
cana-2866	96	15	)	)	PUNCT
cana-2866	96	16	data	datum	NOUN
cana-2866	96	17	acquisition	acquisition	PROPN
cana-2866	96	18	,	,	PUNCT
cana-2866	96	19	ii	ii	NOUN
cana-2866	96	20	)	)	PUNCT
cana-2866	96	21	image	image	NOUN
cana-2866	96	22	preprocessing	preprocessing	NOUN
cana-2866	96	23	,	,	PUNCT
cana-2866	96	24	iii	iii	NOUN
cana-2866	96	25	)	)	PUNCT
cana-2866	96	26	breast	breast	NOUN
cana-2866	96	27	region	region	NOUN
cana-2866	96	28	segmentation	segmentation	NOUN
cana-2866	96	29	,	,	PUNCT
cana-2866	96	30	iv	iv	X
cana-2866	96	31	)	)	PUNCT
cana-2866	96	32	feature	feature	NOUN
cana-2866	96	33	extraction	extraction	NOUN
cana-2866	96	34	and	and	CCONJ
cana-2866	96	35	classification	classification	NOUN
cana-2866	96	36	of	of	ADP
cana-2866	96	37	images	image	NOUN
cana-2866	96	38	,	,	PUNCT
cana-2866	96	39	and	and	CCONJ
cana-2866	96	40	figure	figure	VERB
cana-2866	96	41	1	1	NUM
cana-2866	96	42	.	.	PUNCT
cana-2866	96	43	depicts	depict	VERB
cana-2866	96	44	the	the	DET
cana-2866	96	45	same	same	ADJ
cana-2866	96	46	.	.	PUNCT
cana-2866	97	1	communications	communication	NOUN
cana-2866	97	2	on	on	ADP
cana-2866	97	3	applied	apply	VERB
cana-2866	97	4	nonlinear	nonlinear	ADJ
cana-2866	97	5	analysis	analysis	NOUN
cana-2866	97	6	issn	issn	NOUN
cana-2866	97	7	:	:	PUNCT
cana-2866	97	8	1074	1074	NUM
cana-2866	97	9	-	-	PUNCT
cana-2866	97	10	133x	133x	NUM
cana-2866	97	11	vol	vol	NOUN
cana-2866	97	12	32	32	NUM
cana-2866	97	13	no	no	NOUN
cana-2866	97	14	.	.	PUNCT
cana-2866	98	1	4s	4s	NUM
cana-2866	98	2	(	(	PUNCT
cana-2866	98	3	2025	2025	NUM
cana-2866	98	4	)	)	PUNCT
cana-2866	98	5	483	483	NUM
cana-2866	98	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2866	98	7	figure	figure	NOUN
cana-2866	98	8	1	1	NUM
cana-2866	98	9	.	.	PUNCT
cana-2866	98	10	proposed	propose	VERB
cana-2866	98	11	systems	system	NOUN
cana-2866	98	12	frame	frame	NOUN
cana-2866	98	13	work	work	NOUN
cana-2866	98	14	a.	a.	NOUN
cana-2866	98	15	image	image	PROPN
cana-2866	98	16	acquisition	acquisition	NOUN
cana-2866	98	17	the	the	DET
cana-2866	98	18	proposed	propose	VERB
cana-2866	98	19	method	method	NOUN
cana-2866	98	20	has	have	AUX
cana-2866	98	21	collected	collect	VERB
cana-2866	98	22	mammogram	mammogram	NOUN
cana-2866	98	23	images	image	NOUN
cana-2866	98	24	from	from	ADP
cana-2866	98	25	the	the	DET
cana-2866	98	26	mias	mias	PROPN
cana-2866	98	27	[	[	X
cana-2866	98	28	45	45	NUM
cana-2866	98	29	]	]	PUNCT
cana-2866	98	30	and	and	CCONJ
cana-2866	98	31	bcdr	bcdr	NOUN
cana-2866	98	32	database	database	NOUN
cana-2866	99	1	[	[	X
cana-2866	99	2	46	46	NUM
cana-2866	99	3	]	]	PUNCT
cana-2866	99	4	to	to	PART
cana-2866	99	5	classify	classify	VERB
cana-2866	99	6	images	image	NOUN
cana-2866	99	7	as	as	ADP
cana-2866	99	8	benign	benign	ADJ
cana-2866	99	9	,	,	PUNCT
cana-2866	99	10	malignant	malignant	ADJ
cana-2866	99	11	or	or	CCONJ
cana-2866	99	12	normal	normal	ADJ
cana-2866	99	13	.	.	PUNCT
cana-2866	100	1	the	the	DET
cana-2866	100	2	mammographic	mammographic	ADJ
cana-2866	100	3	image	image	NOUN
cana-2866	100	4	analysis	analysis	NOUN
cana-2866	100	5	society	society	NOUN
cana-2866	100	6	(	(	PUNCT
cana-2866	100	7	mias	mias	PROPN
cana-2866	100	8	)	)	PUNCT
cana-2866	100	9	database	database	NOUN
cana-2866	100	10	is	be	AUX
cana-2866	100	11	a	a	DET
cana-2866	100	12	consortium	consortium	NOUN
cana-2866	100	13	of	of	ADP
cana-2866	100	14	uk	uk	PROPN
cana-2866	100	15	research	research	NOUN
cana-2866	100	16	organization	organization	NOUN
cana-2866	100	17	consisting	consist	VERB
cana-2866	100	18	of	of	ADP
cana-2866	100	19	322	322	NUM
cana-2866	100	20	digital	digital	ADJ
cana-2866	100	21	gray	gray	ADJ
cana-2866	100	22	scale	scale	NOUN
cana-2866	100	23	images	image	NOUN
cana-2866	100	24	of	of	ADP
cana-2866	100	25	size	size	NOUN
cana-2866	100	26	1024	1024	NUM
cana-2866	100	27	×	×	NOUN
cana-2866	100	28	1024	1024	NUM
cana-2866	100	29	pixels	pixel	NOUN
cana-2866	100	30	in	in	ADP
cana-2866	100	31	portable	portable	ADJ
cana-2866	100	32	gray	gray	ADJ
cana-2866	100	33	map	map	NOUN
cana-2866	100	34	(	(	PUNCT
cana-2866	100	35	pgm	pgm	NOUN
cana-2866	100	36	)	)	PUNCT
cana-2866	100	37	format	format	NOUN
cana-2866	100	38	[	[	X
cana-2866	100	39	45	45	NUM
cana-2866	100	40	]	]	PUNCT
cana-2866	100	41	.	.	PUNCT
cana-2866	101	1	it	it	PRON
cana-2866	101	2	includes	include	VERB
cana-2866	101	3	pictures	picture	NOUN
cana-2866	101	4	of	of	ADP
cana-2866	101	5	the	the	DET
cana-2866	101	6	patients	patient	NOUN
cana-2866	101	7	'	'	PART
cana-2866	101	8	breasts	breast	NOUN
cana-2866	101	9	,	,	PUNCT
cana-2866	101	10	both	both	CCONJ
cana-2866	101	11	normal	normal	ADJ
cana-2866	101	12	and	and	CCONJ
cana-2866	101	13	abnormal	abnormal	ADJ
cana-2866	101	14	.	.	PUNCT
cana-2866	102	1	the	the	DET
cana-2866	102	2	"	"	PUNCT
cana-2866	102	3	truth	truth	NOUN
cana-2866	102	4	"	"	PUNCT
cana-2866	102	5	markings	marking	NOUN
cana-2866	102	6	made	make	VERB
cana-2866	102	7	by	by	ADP
cana-2866	102	8	the	the	DET
cana-2866	102	9	radiologist	radiologist	NOUN
cana-2866	102	10	on	on	ADP
cana-2866	102	11	the	the	DET
cana-2866	102	12	locations	location	NOUN
cana-2866	102	13	of	of	ADP
cana-2866	102	14	any	any	DET
cana-2866	102	15	irregularities	irregularity	NOUN
cana-2866	102	16	could	could	AUX
cana-2866	102	17	be	be	AUX
cana-2866	102	18	included	include	VERB
cana-2866	102	19	.	.	PUNCT
cana-2866	103	1	mias	mias	PROPN
cana-2866	103	2	images	image	NOUN
cana-2866	103	3	can	can	AUX
cana-2866	103	4	be	be	AUX
cana-2866	103	5	obtained	obtain	VERB
cana-2866	103	6	at	at	ADP
cana-2866	103	7	the	the	DET
cana-2866	103	8	website	website	NOUN
cana-2866	103	9	,	,	PUNCT
cana-2866	103	10	and	and	CCONJ
cana-2866	103	11	the	the	DET
cana-2866	103	12	dataset	dataset	NOUN
cana-2866	103	13	is	be	AUX
cana-2866	103	14	available	available	ADJ
cana-2866	103	15	to	to	ADP
cana-2866	103	16	the	the	DET
cana-2866	103	17	public	public	NOUN
cana-2866	104	1	[	[	X
cana-2866	104	2	45	45	NUM
cana-2866	104	3	]	]	PUNCT
cana-2866	104	4	.	.	PUNCT
cana-2866	105	1	this	this	DET
cana-2866	105	2	research	research	NOUN
cana-2866	105	3	work	work	NOUN
cana-2866	105	4	has	have	AUX
cana-2866	105	5	used	use	VERB
cana-2866	105	6	18	18	NUM
cana-2866	105	7	normal	normal	ADJ
cana-2866	105	8	images	image	NOUN
cana-2866	105	9	,	,	PUNCT
cana-2866	105	10	27	27	NUM
cana-2866	105	11	clahe	clahe	NOUN
cana-2866	105	12	images	image	NOUN
cana-2866	105	13	and	and	CCONJ
cana-2866	105	14	20	20	NUM
cana-2866	105	15	malignant	malignant	ADJ
cana-2866	105	16	images	image	NOUN
cana-2866	105	17	of	of	ADP
cana-2866	105	18	totally	totally	ADV
cana-2866	105	19	65	65	NUM
cana-2866	105	20	mias	mia	NOUN
cana-2866	105	21	images	image	NOUN
cana-2866	105	22	of	of	ADP
cana-2866	105	23	patients	patient	NOUN
cana-2866	105	24	.	.	PUNCT
cana-2866	106	1	figure	figure	NOUN
cana-2866	106	2	1	1	NUM
cana-2866	106	3	shows	show	VERB
cana-2866	106	4	sample	sample	NOUN
cana-2866	106	5	images	image	NOUN
cana-2866	106	6	from	from	ADP
cana-2866	106	7	mias	mias	PROPN
cana-2866	106	8	dataset	dataset	PROPN
cana-2866	106	9	of	of	ADP
cana-2866	106	10	various	various	ADJ
cana-2866	106	11	categories	category	NOUN
cana-2866	106	12	of	of	ADP
cana-2866	106	13	input	input	NOUN
cana-2866	106	14	images	image	NOUN
cana-2866	106	15	such	such	ADJ
cana-2866	106	16	as	as	ADP
cana-2866	106	17	benign	benign	ADJ
cana-2866	106	18	,	,	PUNCT
cana-2866	106	19	malignant	malignant	ADJ
cana-2866	106	20	and	and	CCONJ
cana-2866	106	21	normal	normal	ADJ
cana-2866	106	22	.	.	PUNCT
cana-2866	107	1	the	the	DET
cana-2866	107	2	dataset	dataset	NOUN
cana-2866	107	3	also	also	ADV
cana-2866	107	4	consists	consist	VERB
cana-2866	107	5	of	of	ADP
cana-2866	107	6	details	detail	NOUN
cana-2866	107	7	of	of	ADP
cana-2866	107	8	categories	category	NOUN
cana-2866	107	9	including	include	VERB
cana-2866	107	10	glandular	glandular	ADJ
cana-2866	107	11	,	,	PUNCT
cana-2866	107	12	fatty	fatty	NOUN
cana-2866	107	13	and	and	CCONJ
cana-2866	107	14	dense	dense	ADJ
cana-2866	107	15	.	.	PUNCT
cana-2866	108	1	images	image	NOUN
cana-2866	108	2	collected	collect	VERB
cana-2866	108	3	from	from	ADP
cana-2866	108	4	database	database	NOUN
cana-2866	108	5	are	be	AUX
cana-2866	108	6	low	low	ADJ
cana-2866	108	7	in	in	ADP
cana-2866	108	8	resolution	resolution	NOUN
cana-2866	108	9	.	.	PUNCT
cana-2866	109	1	this	this	DET
cana-2866	109	2	work	work	NOUN
cana-2866	109	3	has	have	AUX
cana-2866	109	4	enhanced	enhance	VERB
cana-2866	109	5	the	the	DET
cana-2866	109	6	artifacts	artifact	NOUN
cana-2866	109	7	present	present	ADJ
cana-2866	109	8	in	in	ADP
cana-2866	109	9	the	the	DET
cana-2866	109	10	images	image	NOUN
cana-2866	109	11	,	,	PUNCT
cana-2866	109	12	smoothed	smooth	VERB
cana-2866	109	13	and	and	CCONJ
cana-2866	109	14	segmented	segment	VERB
cana-2866	109	15	by	by	ADP
cana-2866	109	16	eliminating	eliminate	VERB
cana-2866	109	17	the	the	DET
cana-2866	109	18	uneven	uneven	ADJ
cana-2866	109	19	background	background	NOUN
cana-2866	109	20	and	and	CCONJ
cana-2866	109	21	breast	breast	NOUN
cana-2866	109	22	tissue	tissue	NOUN
cana-2866	109	23	.	.	PUNCT
cana-2866	110	1	the	the	DET
cana-2866	110	2	bcdr	bcdr	PROPN
cana-2866	110	3	database	database	NOUN
cana-2866	110	4	include	include	VERB
cana-2866	110	5	3703	3703	NUM
cana-2866	110	6	mammography	mammography	NOUN
cana-2866	110	7	images	image	NOUN
cana-2866	110	8	from	from	ADP
cana-2866	110	9	both	both	CCONJ
cana-2866	110	10	the	the	DET
cana-2866	110	11	mediolateral	mediolateral	ADJ
cana-2866	110	12	oblique	oblique	NOUN
cana-2866	110	13	(	(	PUNCT
cana-2866	110	14	mlo	mlo	PROPN
cana-2866	110	15	)	)	PUNCT
cana-2866	110	16	and	and	CCONJ
cana-2866	110	17	craniocaudal	craniocaudal	PROPN
cana-2866	110	18	(	(	PUNCT
cana-2866	110	19	cc	cc	NOUN
cana-2866	110	20	)	)	PUNCT
cana-2866	110	21	view	view	NOUN
cana-2866	110	22	perspectives	perspective	NOUN
cana-2866	110	23	.	.	PUNCT
cana-2866	111	1	all	all	PRON
cana-2866	111	2	of	of	ADP
cana-2866	111	3	them	they	PRON
cana-2866	111	4	are	be	AUX
cana-2866	111	5	supplied	supply	VERB
cana-2866	111	6	as	as	ADP
cana-2866	111	7	720	720	NUM
cana-2866	111	8	x	x	SYM
cana-2866	111	9	1168	1168	NUM
cana-2866	111	10	-	-	PUNCT
cana-2866	111	11	pixel	pixel	NOUN
cana-2866	111	12	resolution	resolution	NOUN
cana-2866	111	13	,	,	PUNCT
cana-2866	111	14	8bit	8bit	PROPN
cana-2866	111	15	tiff	tiff	NOUN
cana-2866	111	16	files	file	NOUN
cana-2866	111	17	.	.	PUNCT
cana-2866	112	1	working	work	VERB
cana-2866	112	2	with	with	ADP
cana-2866	112	3	the	the	DET
cana-2866	112	4	mammogram	mammogram	NOUN
cana-2866	112	5	pictures	picture	NOUN
cana-2866	112	6	in	in	ADP
cana-2866	112	7	the	the	DET
cana-2866	112	8	bcdr	bcdr	NOUN
cana-2866	112	9	database	database	NOUN
cana-2866	112	10	,	,	PUNCT
cana-2866	112	11	which	which	PRON
cana-2866	112	12	are	be	AUX
cana-2866	112	13	in	in	ADP
cana-2866	112	14	8	8	NUM
cana-2866	112	15	-	-	PUNCT
cana-2866	112	16	bit	bit	NOUN
cana-2866	112	17	tiff	tiff	NOUN
cana-2866	112	18	format	format	NOUN
cana-2866	112	19	,	,	PUNCT
cana-2866	112	20	is	be	AUX
cana-2866	112	21	not	not	PART
cana-2866	112	22	too	too	ADV
cana-2866	112	23	difficult	difficult	ADJ
cana-2866	112	24	.	.	PUNCT
cana-2866	113	1	expert	expert	NOUN
cana-2866	113	2	radiologists	radiologist	NOUN
cana-2866	113	3	manually	manually	ADV
cana-2866	113	4	created	create	VERB
cana-2866	113	5	1517	1517	NUM
cana-2866	113	6	segmentations	segmentation	NOUN
cana-2866	113	7	and	and	CCONJ
cana-2866	113	8	classified	classify	VERB
cana-2866	113	9	them	they	PRON
cana-2866	113	10	using	use	VERB
cana-2866	113	11	breast	breast	NOUN
cana-2866	113	12	imaging	imaging	NOUN
cana-2866	113	13	-	-	PUNCT
cana-2866	113	14	reporting	reporting	NOUN
cana-2866	113	15	and	and	CCONJ
cana-2866	113	16	data	datum	NOUN
cana-2866	113	17	system	system	NOUN
cana-2866	113	18	(	(	PUNCT
cana-2866	113	19	bi	bi	NOUN
cana-2866	113	20	-	-	NOUN
cana-2866	113	21	rads	rad	NOUN
cana-2866	113	22	)	)	PUNCT
cana-2866	113	23	.	.	PUNCT
cana-2866	114	1	a	a	DET
cana-2866	114	2	selection	selection	NOUN
cana-2866	114	3	of	of	ADP
cana-2866	114	4	sample	sample	NOUN
cana-2866	114	5	mammography	mammography	NOUN
cana-2866	114	6	image	image	NOUN
cana-2866	114	7	from	from	ADP
cana-2866	114	8	bcdr	bcdr	NOUN
cana-2866	114	9	dataset	dataset	VERB
cana-2866	114	10	is	be	AUX
cana-2866	114	11	shown	show	VERB
cana-2866	114	12	in	in	ADP
cana-2866	114	13	figure	figure	NOUN
cana-2866	114	14	2	2	NUM
cana-2866	114	15	.	.	PUNCT
cana-2866	114	16	a	a	PRON
cana-2866	114	17	)	)	PUNCT
cana-2866	114	18	mini	mini	NOUN
cana-2866	114	19	mias	mias	PROPN
cana-2866	114	20	b	b	PROPN
cana-2866	114	21	)	)	PUNCT
cana-2866	114	22	bcdr	bcdr	NOUN
cana-2866	114	23	fig	fig	NOUN
cana-2866	114	24	2	2	NUM
cana-2866	114	25	:	:	PUNCT
cana-2866	114	26	sample	sample	NOUN
cana-2866	114	27	images	image	NOUN
cana-2866	114	28	from	from	ADP
cana-2866	114	29	the	the	DET
cana-2866	114	30	databases	database	NOUN
cana-2866	114	31	communications	communication	NOUN
cana-2866	114	32	on	on	ADP
cana-2866	114	33	applied	apply	VERB
cana-2866	114	34	nonlinear	nonlinear	ADJ
cana-2866	114	35	analysis	analysis	NOUN
cana-2866	114	36	issn	issn	NOUN
cana-2866	114	37	:	:	PUNCT
cana-2866	114	38	1074	1074	NUM
cana-2866	114	39	-	-	PUNCT
cana-2866	114	40	133x	133x	NUM
cana-2866	114	41	vol	vol	NOUN
cana-2866	114	42	32	32	NUM
cana-2866	114	43	no	no	NOUN
cana-2866	114	44	.	.	PUNCT
cana-2866	115	1	4s	4s	NUM
cana-2866	115	2	(	(	PUNCT
cana-2866	115	3	2025	2025	NUM
cana-2866	115	4	)	)	PUNCT
cana-2866	115	5	484	484	NUM
cana-2866	116	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-2866	116	2	b.	b.	NOUN
cana-2866	116	3	image	image	NOUN
cana-2866	116	4	preprocessing	preprocesse	VERB
cana-2866	116	5	image	image	NOUN
cana-2866	116	6	preprocessing	preprocessing	NOUN
cana-2866	116	7	plays	play	VERB
cana-2866	116	8	a	a	DET
cana-2866	116	9	critical	critical	ADJ
cana-2866	116	10	role	role	NOUN
cana-2866	116	11	in	in	ADP
cana-2866	116	12	medical	medical	ADJ
cana-2866	116	13	image	image	NOUN
cana-2866	116	14	classification	classification	NOUN
cana-2866	116	15	by	by	ADP
cana-2866	116	16	boosting	boost	VERB
cana-2866	116	17	feature	feature	NOUN
cana-2866	116	18	extraction	extraction	NOUN
cana-2866	116	19	,	,	PUNCT
cana-2866	116	20	standardizing	standardize	VERB
cana-2866	116	21	data	datum	NOUN
cana-2866	116	22	from	from	ADP
cana-2866	116	23	various	various	ADJ
cana-2866	116	24	sources	source	NOUN
cana-2866	116	25	,	,	PUNCT
cana-2866	116	26	and	and	CCONJ
cana-2866	116	27	guaranteeing	guarantee	VERB
cana-2866	116	28	accurate	accurate	ADJ
cana-2866	116	29	and	and	CCONJ
cana-2866	116	30	efficient	efficient	ADJ
cana-2866	116	31	operation	operation	NOUN
cana-2866	116	32	of	of	ADP
cana-2866	116	33	classification	classification	NOUN
cana-2866	116	34	algorithms	algorithm	NOUN
cana-2866	116	35	on	on	ADP
cana-2866	116	36	the	the	DET
cana-2866	116	37	data	datum	NOUN
cana-2866	116	38	.	.	PUNCT
cana-2866	117	1	it	it	PRON
cana-2866	117	2	establishes	establish	VERB
cana-2866	117	3	the	the	DET
cana-2866	117	4	framework	framework	NOUN
cana-2866	117	5	for	for	ADP
cana-2866	117	6	trustworthy	trustworthy	ADJ
cana-2866	117	7	diagnosis	diagnosis	NOUN
cana-2866	117	8	and	and	CCONJ
cana-2866	117	9	decision	decision	NOUN
cana-2866	117	10	-	-	PUNCT
cana-2866	117	11	making	make	VERB
cana-2866	117	12	procedures	procedure	NOUN
cana-2866	117	13	in	in	ADP
cana-2866	117	14	medical	medical	ADJ
cana-2866	117	15	applications	application	NOUN
cana-2866	117	16	.	.	PUNCT
cana-2866	118	1	this	this	DET
cana-2866	118	2	research	research	NOUN
cana-2866	118	3	has	have	AUX
cana-2866	118	4	used	use	VERB
cana-2866	118	5	rolling	roll	VERB
cana-2866	118	6	ball	ball	NOUN
cana-2866	118	7	algorithm	algorithm	NOUN
cana-2866	119	1	[	[	X
cana-2866	119	2	47	47	NUM
cana-2866	119	3	]	]	PUNCT
cana-2866	119	4	correcting	correct	VERB
cana-2866	119	5	non	non	ADJ
cana-2866	119	6	-	-	ADJ
cana-2866	119	7	uniform	uniform	ADJ
cana-2866	119	8	brightness	brightness	NOUN
cana-2866	119	9	,	,	PUNCT
cana-2866	119	10	particularly	particularly	ADV
cana-2866	119	11	in	in	ADP
cana-2866	119	12	medical	medical	ADJ
cana-2866	119	13	images	image	NOUN
cana-2866	119	14	.	.	PUNCT
cana-2866	120	1	in	in	ADP
cana-2866	120	2	the	the	DET
cana-2866	120	3	event	event	NOUN
cana-2866	120	4	of	of	ADP
cana-2866	120	5	uneven	uneven	ADJ
cana-2866	120	6	exposure	exposure	NOUN
cana-2866	120	7	,	,	PUNCT
cana-2866	120	8	this	this	DET
cana-2866	120	9	technique	technique	NOUN
cana-2866	120	10	calculates	calculate	VERB
cana-2866	120	11	the	the	DET
cana-2866	120	12	gray	gray	ADJ
cana-2866	120	13	scale	scale	NOUN
cana-2866	120	14	image	image	NOUN
cana-2866	120	15	's	's	PART
cana-2866	120	16	background	background	NOUN
cana-2866	120	17	intensity	intensity	NOUN
cana-2866	120	18	.	.	PUNCT
cana-2866	121	1	in	in	ADP
cana-2866	121	2	this	this	DET
cana-2866	121	3	research	research	NOUN
cana-2866	121	4	mias	mia	NOUN
cana-2866	121	5	and	and	CCONJ
cana-2866	121	6	bcdr	bcdr	NOUN
cana-2866	121	7	images	image	NOUN
cana-2866	121	8	plotted	plot	VERB
cana-2866	121	9	as	as	ADP
cana-2866	121	10	a	a	DET
cana-2866	121	11	3d	3d	NUM
cana-2866	121	12	surface	surface	NOUN
cana-2866	121	13	,	,	PUNCT
cana-2866	121	14	where	where	SCONJ
cana-2866	121	15	the	the	DET
cana-2866	121	16	surface	surface	NOUN
cana-2866	121	17	height	height	NOUN
cana-2866	121	18	is	be	AUX
cana-2866	121	19	represented	represent	VERB
cana-2866	121	20	by	by	ADP
cana-2866	121	21	the	the	DET
cana-2866	121	22	image	image	NOUN
cana-2866	121	23	's	's	PART
cana-2866	121	24	pixel	pixel	NOUN
cana-2866	121	25	value	value	NOUN
cana-2866	121	26	,	,	PUNCT
cana-2866	121	27	have	have	AUX
cana-2866	121	28	been	be	AUX
cana-2866	121	29	successfully	successfully	ADV
cana-2866	121	30	processed	process	VERB
cana-2866	121	31	using	use	VERB
cana-2866	121	32	this	this	DET
cana-2866	121	33	approach	approach	NOUN
cana-2866	121	34	.	.	PUNCT
cana-2866	122	1	the	the	DET
cana-2866	122	2	huge	huge	ADJ
cana-2866	122	3	spatial	spatial	ADJ
cana-2866	122	4	variations	variation	NOUN
cana-2866	122	5	in	in	ADP
cana-2866	122	6	the	the	DET
cana-2866	122	7	background	background	NOUN
cana-2866	122	8	intensities	intensity	NOUN
cana-2866	122	9	are	be	AUX
cana-2866	122	10	eliminated	eliminate	VERB
cana-2866	122	11	by	by	ADP
cana-2866	122	12	subtracting	subtract	VERB
cana-2866	122	13	the	the	DET
cana-2866	122	14	background	background	NOUN
cana-2866	122	15	surface	surface	NOUN
cana-2866	122	16	from	from	ADP
cana-2866	122	17	the	the	DET
cana-2866	122	18	original	original	ADJ
cana-2866	122	19	image	image	NOUN
cana-2866	122	20	,	,	PUNCT
cana-2866	122	21	which	which	PRON
cana-2866	122	22	is	be	AUX
cana-2866	122	23	created	create	VERB
cana-2866	122	24	by	by	ADP
cana-2866	122	25	rolling	roll	VERB
cana-2866	122	26	ball	ball	NOUN
cana-2866	122	27	(	(	PUNCT
cana-2866	122	28	rb	rb	PROPN
cana-2866	122	29	)	)	PUNCT
cana-2866	122	30	with	with	ADP
cana-2866	122	31	a	a	DET
cana-2866	122	32	user	user	NOUN
cana-2866	122	33	-	-	PUNCT
cana-2866	122	34	defined	define	VERB
cana-2866	122	35	radius	radius	NOUN
cana-2866	122	36	over	over	ADP
cana-2866	122	37	the	the	DET
cana-2866	122	38	rear	rear	NOUN
cana-2866	122	39	of	of	ADP
cana-2866	122	40	the	the	DET
cana-2866	122	41	surface	surface	NOUN
cana-2866	122	42	.	.	PUNCT
cana-2866	123	1	by	by	ADP
cana-2866	123	2	using	use	VERB
cana-2866	123	3	thirddimensional	thirddimensional	ADJ
cana-2866	123	4	coordinate	coordinate	NOUN
cana-2866	123	5	values	value	NOUN
cana-2866	123	6	for	for	ADP
cana-2866	123	7	the	the	DET
cana-2866	123	8	intensity	intensity	NOUN
cana-2866	123	9	,	,	PUNCT
cana-2866	123	10	the	the	DET
cana-2866	123	11	grayscale	grayscale	NOUN
cana-2866	123	12	image	image	NOUN
cana-2866	123	13	is	be	AUX
cana-2866	123	14	rendered	render	VERB
cana-2866	123	15	as	as	ADP
cana-2866	123	16	a	a	DET
cana-2866	123	17	three	three	NUM
cana-2866	123	18	-	-	PUNCT
cana-2866	123	19	dimensional	dimensional	ADJ
cana-2866	123	20	surface	surface	NOUN
cana-2866	123	21	using	use	VERB
cana-2866	123	22	this	this	DET
cana-2866	123	23	method	method	NOUN
cana-2866	123	24	.	.	PUNCT
cana-2866	124	1	next	next	ADV
cana-2866	124	2	,	,	PUNCT
cana-2866	124	3	a	a	DET
cana-2866	124	4	set	set	NOUN
cana-2866	124	5	of	of	ADP
cana-2866	124	6	tangent	tangent	ADJ
cana-2866	124	7	points	point	NOUN
cana-2866	124	8	is	be	AUX
cana-2866	124	9	formed	form	VERB
cana-2866	124	10	by	by	ADP
cana-2866	124	11	rolling	roll	VERB
cana-2866	124	12	a	a	DET
cana-2866	124	13	3d	3d	NUM
cana-2866	124	14	ball	ball	NOUN
cana-2866	124	15	with	with	ADP
cana-2866	124	16	a	a	DET
cana-2866	124	17	specific	specific	ADJ
cana-2866	124	18	radius	radius	NOUN
cana-2866	124	19	over	over	ADP
cana-2866	124	20	the	the	DET
cana-2866	124	21	3d	3d	PROPN
cana-2866	124	22	surface	surface	NOUN
cana-2866	124	23	;	;	PUNCT
cana-2866	124	24	these	these	DET
cana-2866	124	25	tangent	tangent	NOUN
cana-2866	124	26	points	point	NOUN
cana-2866	124	27	are	be	AUX
cana-2866	124	28	then	then	ADV
cana-2866	124	29	interpolated	interpolate	VERB
cana-2866	124	30	and	and	CCONJ
cana-2866	124	31	utilized	utilize	VERB
cana-2866	124	32	as	as	ADP
cana-2866	124	33	the	the	DET
cana-2866	124	34	backdrop	backdrop	NOUN
cana-2866	124	35	map	map	NOUN
cana-2866	124	36	.	.	PUNCT
cana-2866	125	1	following	follow	VERB
cana-2866	125	2	that	that	PRON
cana-2866	125	3	,	,	PUNCT
cana-2866	125	4	the	the	DET
cana-2866	125	5	original	original	ADJ
cana-2866	125	6	image	image	NOUN
cana-2866	125	7	can	can	AUX
cana-2866	125	8	have	have	VERB
cana-2866	125	9	background	background	NOUN
cana-2866	125	10	noise	noise	NOUN
cana-2866	125	11	removed	remove	VERB
cana-2866	125	12	.	.	PUNCT
cana-2866	126	1	let	let	VERB
cana-2866	126	2	𝑚(𝑎	𝑚(𝑎	NOUN
cana-2866	126	3	,	,	PUNCT
cana-2866	126	4	𝑏	𝑏	NOUN
cana-2866	126	5	)	)	PUNCT
cana-2866	126	6	stand	stand	NOUN
cana-2866	126	7	for	for	ADP
cana-2866	126	8	the	the	DET
cana-2866	126	9	original	original	ADJ
cana-2866	126	10	image	image	NOUN
cana-2866	126	11	and	and	CCONJ
cana-2866	126	12	n	n	DET
cana-2866	126	13	𝑛(𝑎′	𝑛(𝑎′	PROPN
cana-2866	126	14	,	,	PUNCT
cana-2866	126	15	𝑏′	𝑏′	NUM
cana-2866	126	16	)	)	PUNCT
cana-2866	126	17	for	for	ADP
cana-2866	126	18	the	the	DET
cana-2866	126	19	rolling	rolling	ADJ
cana-2866	126	20	ball	ball	NOUN
cana-2866	126	21	.	.	PUNCT
cana-2866	127	1	background	background	NOUN
cana-2866	127	2	noise	noise	NOUN
cana-2866	127	3	,	,	PUNCT
cana-2866	127	4	then	then	ADV
cana-2866	127	5	,	,	PUNCT
cana-2866	127	6	𝑝(𝑎ь	𝑝(𝑎ь	PROPN
cana-2866	127	7	,	,	PUNCT
cana-2866	127	8	𝑏ь	𝑏ь	PROPN
cana-2866	127	9	)	)	PUNCT
cana-2866	127	10	,	,	PUNCT
cana-2866	127	11	can	can	AUX
cana-2866	127	12	be	be	AUX
cana-2866	127	13	acquired	acquire	VERB
cana-2866	127	14	using	use	VERB
cana-2866	127	15	equations	equation	NOUN
cana-2866	127	16	(	(	PUNCT
cana-2866	127	17	1	1	NUM
cana-2866	127	18	)	)	PUNCT
cana-2866	127	19	,	,	PUNCT
cana-2866	127	20	(	(	PUNCT
cana-2866	127	21	2	2	NUM
cana-2866	127	22	)	)	PUNCT
cana-2866	127	23	,	,	PUNCT
cana-2866	127	24	(	(	PUNCT
cana-2866	127	25	3	3	X
cana-2866	127	26	)	)	PUNCT
cana-2866	127	27	𝑝	𝑝	NOUN
cana-2866	127	28	=	=	SYM
cana-2866	127	29	(	(	PUNCT
cana-2866	127	30	𝑚	𝑚	PROPN
cana-2866	127	31	⊖	⊖	NUM
cana-2866	127	32	𝑛	𝑛	NOUN
cana-2866	127	33	)	)	PUNCT
cana-2866	127	34	⊕	⊕	PROPN
cana-2866	127	35	𝑛	𝑛	PROPN
cana-2866	127	36	(	(	PUNCT
cana-2866	127	37	1	1	NUM
cana-2866	127	38	)	)	PUNCT
cana-2866	127	39	here	here	ADV
cana-2866	127	40	𝑚	𝑚	X
cana-2866	127	41	⊖	⊖	SYM
cana-2866	127	42	𝑛	𝑛	PROPN
cana-2866	127	43	=	=	SYM
cana-2866	127	44	𝑚𝑖𝑛	𝑚𝑖𝑛	PROPN
cana-2866	127	45	{	{	PUNCT
cana-2866	127	46	𝑚(𝑎	𝑚(𝑎	NOUN
cana-2866	127	47	+	+	SYM
cana-2866	127	48	𝑎′	𝑎′	NUM
cana-2866	127	49	,	,	PUNCT
cana-2866	127	50	𝑏	𝑏	PROPN
cana-2866	127	51	+	+	NOUN
cana-2866	127	52	𝑏′	𝑏′	NUM
cana-2866	127	53	)	)	PUNCT
cana-2866	128	1	−	−	PROPN
cana-2866	128	2	𝑛(𝑎′	𝑛(𝑎′	PROPN
cana-2866	128	3	,	,	PUNCT
cana-2866	128	4	𝑏′)|(𝑎′	𝑏′)|(𝑎′	PROPN
cana-2866	128	5	,	,	PUNCT
cana-2866	128	6	𝑏′)𝜖𝐷𝑚	𝑏′)𝜖𝐷𝑚	PROPN
cana-2866	128	7	}	}	PUNCT
cana-2866	128	8	(	(	PUNCT
cana-2866	128	9	2	2	X
cana-2866	128	10	)	)	PUNCT
cana-2866	128	11	𝑚	𝑚	ADP
cana-2866	128	12	⊕	⊕	NOUN
cana-2866	128	13	𝑛	𝑛	ADP
cana-2866	128	14	=	=	PUNCT
cana-2866	128	15	𝑚𝑎𝑥{𝑚(𝑎	𝑚𝑎𝑥{𝑚(𝑎	PROPN
cana-2866	128	16	−	−	NUM
cana-2866	128	17	𝑎′	𝑎′	NOUN
cana-2866	128	18	,	,	PUNCT
cana-2866	128	19	𝑏	𝑏	PRON
cana-2866	128	20	−	−	PROPN
cana-2866	128	21	𝑏′	𝑏′	NUM
cana-2866	128	22	)	)	PUNCT
cana-2866	129	1	+	+	CCONJ
cana-2866	129	2	𝑛(𝑎′	𝑛(𝑎′	PROPN
cana-2866	129	3	,	,	PUNCT
cana-2866	129	4	𝑏′)|(𝑎′	𝑏′)|(𝑎′	PROPN
cana-2866	129	5	,	,	PUNCT
cana-2866	129	6	𝑏′)𝜖𝐷𝑚	𝑏′)𝜖𝐷𝑚	PROPN
cana-2866	129	7	}	}	PUNCT
cana-2866	129	8	(	(	PUNCT
cana-2866	129	9	3	3	X
cana-2866	129	10	)	)	PUNCT
cana-2866	129	11	where	where	SCONJ
cana-2866	129	12	𝐷𝑚	𝐷𝑚	PROPN
cana-2866	129	13	is	be	AUX
cana-2866	129	14	the	the	DET
cana-2866	129	15	domain	domain	NOUN
cana-2866	129	16	of	of	ADP
cana-2866	129	17	the	the	DET
cana-2866	129	18	structuring	structuring	NOUN
cana-2866	129	19	element	element	NOUN
cana-2866	129	20	tm	tm	PROPN
cana-2866	129	21	.	.	PUNCT
cana-2866	130	1	we	we	PRON
cana-2866	130	2	can	can	AUX
cana-2866	130	3	get	get	VERB
cana-2866	130	4	the	the	DET
cana-2866	130	5	updated	update	VERB
cana-2866	130	6	image	image	NOUN
cana-2866	130	7	𝑡(𝑎ₜ	𝑡(𝑎ₜ	NOUN
cana-2866	130	8	,	,	PUNCT
cana-2866	130	9	𝑏ₜ	𝑏ₜ	ADP
cana-2866	130	10	)	)	PUNCT
cana-2866	130	11	using	use	VERB
cana-2866	130	12	equation	equation	NOUN
cana-2866	130	13	(	(	PUNCT
cana-2866	130	14	4	4	NUM
cana-2866	130	15	)	)	PUNCT
cana-2866	130	16	𝑡	𝑡	NOUN
cana-2866	130	17	=	=	PUNCT
cana-2866	130	18	𝑚	𝑚	PROPN
cana-2866	130	19	−	−	PROPN
cana-2866	130	20	𝑝	𝑝	PROPN
cana-2866	130	21	(	(	PUNCT
cana-2866	130	22	4	4	NUM
cana-2866	130	23	)	)	PUNCT
cana-2866	130	24	pre	pre	ADJ
cana-2866	130	25	-	-	ADJ
cana-2866	130	26	smoothing	smoothing	ADJ
cana-2866	130	27	increases	increase	NOUN
cana-2866	130	28	the	the	DET
cana-2866	130	29	accuracy	accuracy	NOUN
cana-2866	130	30	of	of	ADP
cana-2866	130	31	background	background	NOUN
cana-2866	130	32	subtraction	subtraction	NOUN
cana-2866	130	33	by	by	ADP
cana-2866	130	34	reducing	reduce	VERB
cana-2866	130	35	noise	noise	NOUN
cana-2866	130	36	and	and	CCONJ
cana-2866	130	37	homogenizing	homogenize	VERB
cana-2866	130	38	the	the	DET
cana-2866	130	39	background	background	NOUN
cana-2866	130	40	.	.	PUNCT
cana-2866	131	1	if	if	SCONJ
cana-2866	131	2	gaussian	gaussian	ADJ
cana-2866	131	3	smoothing	smoothing	NOUN
cana-2866	131	4	is	be	AUX
cana-2866	131	5	applied	apply	VERB
cana-2866	131	6	before	before	ADV
cana-2866	131	7	to	to	ADP
cana-2866	131	8	background	background	NOUN
cana-2866	131	9	subtraction	subtraction	NOUN
cana-2866	131	10	,	,	PUNCT
cana-2866	131	11	the	the	DET
cana-2866	131	12	parameter	parameter	NOUN
cana-2866	131	13	value	value	NOUN
cana-2866	131	14	is	be	AUX
cana-2866	131	15	true	true	ADJ
cana-2866	131	16	;	;	PUNCT
cana-2866	131	17	if	if	SCONJ
cana-2866	131	18	not	not	PART
cana-2866	131	19	,	,	PUNCT
cana-2866	131	20	it	it	PRON
cana-2866	131	21	is	be	AUX
cana-2866	131	22	false	false	ADJ
cana-2866	131	23	.	.	PUNCT
cana-2866	132	1	the	the	DET
cana-2866	132	2	scale	scale	NOUN
cana-2866	132	3	of	of	ADP
cana-2866	132	4	the	the	DET
cana-2866	132	5	background	background	NOUN
cana-2866	132	6	changes	change	NOUN
cana-2866	132	7	that	that	PRON
cana-2866	132	8	can	can	AUX
cana-2866	132	9	be	be	AUX
cana-2866	132	10	eliminated	eliminate	VERB
cana-2866	132	11	is	be	AUX
cana-2866	132	12	determined	determine	VERB
cana-2866	132	13	by	by	ADP
cana-2866	132	14	the	the	DET
cana-2866	132	15	parameter	parameter	NOUN
cana-2866	132	16	radius	radius	NOUN
cana-2866	132	17	.	.	PUNCT
cana-2866	133	1	a	a	DET
cana-2866	133	2	smoother	smooth	ADJ
cana-2866	133	3	background	background	NOUN
cana-2866	133	4	results	result	NOUN
cana-2866	133	5	from	from	ADP
cana-2866	133	6	a	a	DET
cana-2866	133	7	broader	broad	ADJ
cana-2866	133	8	radius	radius	NOUN
cana-2866	133	9	.	.	PUNCT
cana-2866	134	1	the	the	DET
cana-2866	134	2	figure	figure	NOUN
cana-2866	134	3	3	3	NUM
cana-2866	134	4	.	.	PUNCT
cana-2866	134	5	displays	display	VERB
cana-2866	134	6	the	the	DET
cana-2866	134	7	mammography	mammography	NOUN
cana-2866	134	8	images	image	NOUN
cana-2866	134	9	after	after	ADP
cana-2866	134	10	denoising	denoise	VERB
cana-2866	134	11	using	use	VERB
cana-2866	134	12	rb	rb	PRON
cana-2866	134	13	algorithm	algorithm	NOUN
cana-2866	134	14	.	.	PUNCT
cana-2866	135	1	fig	fig	NOUN
cana-2866	135	2	3	3	NUM
cana-2866	135	3	:	:	PUNCT
cana-2866	136	1	sample	sample	NOUN
cana-2866	136	2	images	image	NOUN
cana-2866	136	3	after	after	ADP
cana-2866	136	4	denoising	denoise	VERB
cana-2866	136	5	using	use	VERB
cana-2866	136	6	rolling	roll	VERB
cana-2866	136	7	ball	ball	NOUN
cana-2866	136	8	algorithm	algorithm	NOUN
cana-2866	136	9	communications	communication	NOUN
cana-2866	136	10	on	on	ADP
cana-2866	136	11	applied	apply	VERB
cana-2866	136	12	nonlinear	nonlinear	ADJ
cana-2866	136	13	analysis	analysis	NOUN
cana-2866	136	14	issn	issn	NOUN
cana-2866	136	15	:	:	PUNCT
cana-2866	136	16	1074	1074	NUM
cana-2866	136	17	-	-	PUNCT
cana-2866	136	18	133x	133x	NUM
cana-2866	136	19	vol	vol	NOUN
cana-2866	136	20	32	32	NUM
cana-2866	136	21	no	no	NOUN
cana-2866	136	22	.	.	PUNCT
cana-2866	137	1	4s	4s	NUM
cana-2866	137	2	(	(	PUNCT
cana-2866	137	3	2025	2025	NUM
cana-2866	137	4	)	)	PUNCT
cana-2866	137	5	485	485	NUM
cana-2866	137	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2866	137	7	c.	c.	NOUN
cana-2866	137	8	image	image	NOUN
cana-2866	137	9	enhancement	enhancement	NOUN
cana-2866	137	10	when	when	SCONJ
cana-2866	137	11	it	it	PRON
cana-2866	137	12	comes	come	VERB
cana-2866	137	13	to	to	ADP
cana-2866	137	14	improving	improve	VERB
cana-2866	137	15	the	the	DET
cana-2866	137	16	quality	quality	NOUN
cana-2866	137	17	of	of	ADP
cana-2866	137	18	diagnostic	diagnostic	ADJ
cana-2866	137	19	data	datum	NOUN
cana-2866	137	20	,	,	PUNCT
cana-2866	137	21	boosting	boost	VERB
cana-2866	137	22	automated	automate	VERB
cana-2866	137	23	classification	classification	NOUN
cana-2866	137	24	algorithm	algorithm	NOUN
cana-2866	137	25	performance	performance	NOUN
cana-2866	137	26	,	,	PUNCT
cana-2866	137	27	contrast	contrast	NOUN
cana-2866	137	28	enhancement	enhancement	NOUN
cana-2866	137	29	in	in	ADP
cana-2866	137	30	medical	medical	ADJ
cana-2866	137	31	image	image	NOUN
cana-2866	137	32	classification	classification	NOUN
cana-2866	137	33	is	be	AUX
cana-2866	137	34	essential	essential	ADJ
cana-2866	137	35	.	.	PUNCT
cana-2866	138	1	after	after	ADP
cana-2866	138	2	background	background	NOUN
cana-2866	138	3	removal	removal	NOUN
cana-2866	138	4	,	,	PUNCT
cana-2866	138	5	the	the	DET
cana-2866	138	6	brightness	brightness	NOUN
cana-2866	138	7	of	of	ADP
cana-2866	138	8	the	the	DET
cana-2866	138	9	image	image	NOUN
cana-2866	138	10	becomes	become	VERB
cana-2866	138	11	low	low	ADJ
cana-2866	138	12	.	.	PUNCT
cana-2866	139	1	therefore	therefore	ADV
cana-2866	139	2	,	,	PUNCT
cana-2866	139	3	identifying	identify	VERB
cana-2866	139	4	the	the	DET
cana-2866	139	5	breast	breast	NOUN
cana-2866	139	6	mass	mass	NOUN
cana-2866	139	7	in	in	ADP
cana-2866	139	8	low	low	ADJ
cana-2866	139	9	resolution	resolution	NOUN
cana-2866	139	10	images	image	NOUN
cana-2866	139	11	will	will	AUX
cana-2866	139	12	give	give	VERB
cana-2866	139	13	false	false	ADJ
cana-2866	139	14	positives	positive	NOUN
cana-2866	139	15	and	and	CCONJ
cana-2866	139	16	false	false	ADJ
cana-2866	139	17	negatives	negative	NOUN
cana-2866	139	18	.	.	PUNCT
cana-2866	140	1	the	the	DET
cana-2866	140	2	existing	exist	VERB
cana-2866	140	3	works	work	NOUN
cana-2866	140	4	have	have	AUX
cana-2866	140	5	used	use	VERB
cana-2866	140	6	adaptive	adaptive	ADJ
cana-2866	140	7	histogram	histogram	NOUN
cana-2866	140	8	equalization	equalization	NOUN
cana-2866	140	9	(	(	PUNCT
cana-2866	140	10	ahe	ahe	NOUN
cana-2866	140	11	)	)	PUNCT
cana-2866	140	12	to	to	PART
cana-2866	140	13	improve	improve	VERB
cana-2866	140	14	the	the	DET
cana-2866	140	15	brightness	brightness	NOUN
cana-2866	140	16	of	of	ADP
cana-2866	140	17	the	the	DET
cana-2866	140	18	image	image	NOUN
cana-2866	140	19	.	.	PUNCT
cana-2866	141	1	but	but	CCONJ
cana-2866	141	2	as	as	SCONJ
cana-2866	141	3	the	the	DET
cana-2866	141	4	histograms	histogram	NOUN
cana-2866	141	5	in	in	ADP
cana-2866	141	6	the	the	DET
cana-2866	141	7	near	near	ADJ
cana-2866	141	8	constant	constant	ADJ
cana-2866	141	9	regions	region	NOUN
cana-2866	141	10	are	be	AUX
cana-2866	141	11	highly	highly	ADV
cana-2866	141	12	concentrated	concentrated	ADJ
cana-2866	141	13	,	,	PUNCT
cana-2866	141	14	it	it	PRON
cana-2866	141	15	over	over	ADP
cana-2866	141	16	amplifies	amplify	VERB
cana-2866	141	17	the	the	DET
cana-2866	141	18	contrast	contrast	NOUN
cana-2866	141	19	in	in	ADP
cana-2866	141	20	those	those	DET
cana-2866	141	21	regions	region	NOUN
cana-2866	141	22	and	and	CCONJ
cana-2866	141	23	causes	cause	VERB
cana-2866	141	24	noise	noise	NOUN
cana-2866	141	25	to	to	ADP
cana-2866	141	26	the	the	DET
cana-2866	141	27	images	image	NOUN
cana-2866	141	28	.	.	PUNCT
cana-2866	142	1	for	for	ADP
cana-2866	142	2	this	this	PRON
cana-2866	142	3	,	,	PUNCT
cana-2866	142	4	clahe	clahe	NOUN
cana-2866	142	5	and	and	CCONJ
cana-2866	142	6	unsharp	unsharp	ADJ
cana-2866	142	7	masking	masking	NOUN
cana-2866	142	8	methods	method	NOUN
cana-2866	142	9	are	be	AUX
cana-2866	142	10	used	use	VERB
cana-2866	142	11	by	by	ADP
cana-2866	142	12	this	this	DET
cana-2866	142	13	paper	paper	NOUN
cana-2866	142	14	and	and	CCONJ
cana-2866	142	15	the	the	DET
cana-2866	142	16	results	result	NOUN
cana-2866	142	17	are	be	AUX
cana-2866	142	18	compared	compare	VERB
cana-2866	142	19	between	between	ADP
cana-2866	142	20	them	they	PRON
cana-2866	142	21	.	.	PUNCT
cana-2866	143	1	d.	d.	PROPN
cana-2866	143	2	image	image	NOUN
cana-2866	143	3	enhancement	enhancement	NOUN
cana-2866	143	4	using	use	VERB
cana-2866	143	5	clahe	clahe	PROPN
cana-2866	143	6	histogram	histogram	PROPN
cana-2866	143	7	equalization	equalization	NOUN
cana-2866	143	8	(	(	PUNCT
cana-2866	143	9	he	he	PRON
cana-2866	143	10	)	)	PUNCT
cana-2866	144	1	[	[	X
cana-2866	144	2	48	48	NUM
cana-2866	144	3	]	]	PUNCT
cana-2866	144	4	flattens	flatten	VERB
cana-2866	144	5	and	and	CCONJ
cana-2866	144	6	expands	expand	VERB
cana-2866	144	7	the	the	DET
cana-2866	144	8	dynamic	dynamic	ADJ
cana-2866	144	9	range	range	NOUN
cana-2866	144	10	of	of	ADP
cana-2866	144	11	the	the	DET
cana-2866	144	12	image	image	NOUN
cana-2866	144	13	's	's	PART
cana-2866	144	14	intensity	intensity	NOUN
cana-2866	144	15	levels	level	NOUN
cana-2866	144	16	,	,	PUNCT
cana-2866	144	17	producing	produce	VERB
cana-2866	144	18	an	an	DET
cana-2866	144	19	output	output	NOUN
cana-2866	144	20	image	image	NOUN
cana-2866	144	21	with	with	ADP
cana-2866	144	22	a	a	DET
cana-2866	144	23	uniform	uniform	ADJ
cana-2866	144	24	histogram	histogram	NOUN
cana-2866	144	25	that	that	PRON
cana-2866	144	26	is	be	AUX
cana-2866	144	27	effective	effective	ADJ
cana-2866	144	28	and	and	CCONJ
cana-2866	144	29	easier	easy	ADJ
cana-2866	144	30	to	to	PART
cana-2866	144	31	use	use	VERB
cana-2866	144	32	.	.	PUNCT
cana-2866	145	1	it	it	PRON
cana-2866	145	2	will	will	AUX
cana-2866	145	3	also	also	ADV
cana-2866	145	4	alter	alter	VERB
cana-2866	145	5	the	the	DET
cana-2866	145	6	brightness	brightness	NOUN
cana-2866	145	7	of	of	ADP
cana-2866	145	8	the	the	DET
cana-2866	145	9	image	image	NOUN
cana-2866	145	10	and	and	CCONJ
cana-2866	145	11	may	may	AUX
cana-2866	145	12	lead	lead	VERB
cana-2866	145	13	to	to	ADP
cana-2866	145	14	a	a	DET
cana-2866	145	15	rise	rise	NOUN
cana-2866	145	16	in	in	ADP
cana-2866	145	17	contrast	contrast	NOUN
cana-2866	145	18	.	.	PUNCT
cana-2866	146	1	equation	equation	NOUN
cana-2866	146	2	(	(	PUNCT
cana-2866	146	3	5	5	NUM
cana-2866	146	4	)	)	PUNCT
cana-2866	146	5	represents	represent	VERB
cana-2866	146	6	he	he	PRON
cana-2866	146	7	for	for	ADP
cana-2866	146	8	an	an	DET
cana-2866	146	9	image	image	NOUN
cana-2866	146	10	.	.	PUNCT
cana-2866	147	1	𝑇(𝑖	𝑇(𝑖	X
cana-2866	147	2	)	)	PUNCT
cana-2866	148	1	=	=	NOUN
cana-2866	148	2	(	(	PUNCT
cana-2866	148	3	𝐼	𝐼	PROPN
cana-2866	148	4	𝐿	𝐿	PROPN
cana-2866	148	5	)	)	PUNCT
cana-2866	148	6	∗	∗	NOUN
cana-2866	148	7	(	(	PUNCT
cana-2866	148	8	𝑃(𝑗	𝑃(𝑗	NUM
cana-2866	148	9	)	)	PUNCT
cana-2866	148	10	<	<	X
cana-2866	148	11	=	=	SYM
cana-2866	148	12	𝑖	𝑖	NOUN
cana-2866	148	13	)	)	PUNCT
cana-2866	148	14	(	(	PUNCT
cana-2866	148	15	5	5	X
cana-2866	148	16	)	)	PUNCT
cana-2866	148	17	it	it	PRON
cana-2866	148	18	determines	determine	VERB
cana-2866	148	19	the	the	DET
cana-2866	148	20	transfer	transfer	NOUN
cana-2866	148	21	function	function	NOUN
cana-2866	148	22	t	t	PROPN
cana-2866	148	23	,	,	PUNCT
cana-2866	148	24	that	that	PRON
cana-2866	148	25	converts	convert	VERB
cana-2866	148	26	the	the	DET
cana-2866	148	27	original	original	ADJ
cana-2866	148	28	intensity	intensity	NOUN
cana-2866	148	29	values	value	NOUN
cana-2866	148	30	to	to	ADP
cana-2866	148	31	the	the	DET
cana-2866	148	32	new	new	ADJ
cana-2866	148	33	intensity	intensity	NOUN
cana-2866	148	34	values	value	NOUN
cana-2866	148	35	.	.	PUNCT
cana-2866	149	1	i	i	PRON
cana-2866	149	2	is	be	AUX
cana-2866	149	3	an	an	DET
cana-2866	149	4	constant	constant	ADJ
cana-2866	149	5	that	that	PRON
cana-2866	149	6	regulates	regulate	VERB
cana-2866	149	7	image	image	NOUN
cana-2866	149	8	contrast	contrast	NOUN
cana-2866	149	9	,	,	PUNCT
cana-2866	149	10	l	l	NOUN
cana-2866	149	11	is	be	AUX
cana-2866	149	12	the	the	DET
cana-2866	149	13	number	number	NOUN
cana-2866	149	14	of	of	ADP
cana-2866	149	15	intensity	intensity	NOUN
cana-2866	149	16	levels	level	NOUN
cana-2866	149	17	,	,	PUNCT
cana-2866	149	18	i	i	PRON
cana-2866	149	19	is	be	AUX
cana-2866	149	20	the	the	DET
cana-2866	149	21	intensity	intensity	NOUN
cana-2866	149	22	value	value	NOUN
cana-2866	149	23	and	and	CCONJ
cana-2866	149	24	𝑝(𝑗	𝑝(𝑗	PROPN
cana-2866	149	25	)	)	PUNCT
cana-2866	149	26	is	be	AUX
cana-2866	149	27	the	the	DET
cana-2866	149	28	probability	probability	NOUN
cana-2866	149	29	density	density	NOUN
cana-2866	149	30	function	function	NOUN
cana-2866	149	31	of	of	ADP
cana-2866	149	32	image	image	NOUN
cana-2866	149	33	intensity	intensity	NOUN
cana-2866	149	34	values	value	NOUN
cana-2866	149	35	.	.	PUNCT
cana-2866	150	1	the	the	DET
cana-2866	150	2	he	he	PRON
cana-2866	150	3	might	might	AUX
cana-2866	150	4	not	not	PART
cana-2866	150	5	work	work	VERB
cana-2866	150	6	well	well	ADV
cana-2866	150	7	with	with	ADP
cana-2866	150	8	many	many	ADJ
cana-2866	150	9	kinds	kind	NOUN
cana-2866	150	10	of	of	ADP
cana-2866	150	11	images	image	NOUN
cana-2866	150	12	,	,	PUNCT
cana-2866	150	13	particularly	particularly	ADV
cana-2866	150	14	ones	one	NOUN
cana-2866	150	15	that	that	PRON
cana-2866	150	16	have	have	VERB
cana-2866	150	17	a	a	DET
cana-2866	150	18	limited	limited	ADJ
cana-2866	150	19	range	range	NOUN
cana-2866	150	20	of	of	ADP
cana-2866	150	21	pixel	pixel	ADJ
cana-2866	150	22	values	value	NOUN
cana-2866	150	23	or	or	CCONJ
cana-2866	150	24	sharp	sharp	ADJ
cana-2866	150	25	fluctuations	fluctuation	NOUN
cana-2866	150	26	in	in	ADP
cana-2866	150	27	brightness	brightness	NOUN
cana-2866	150	28	or	or	CCONJ
cana-2866	150	29	contrast	contrast	NOUN
cana-2866	150	30	.	.	PUNCT
cana-2866	151	1	to	to	PART
cana-2866	151	2	address	address	VERB
cana-2866	151	3	this	this	PRON
cana-2866	151	4	,	,	PUNCT
cana-2866	151	5	the	the	DET
cana-2866	151	6	present	present	ADJ
cana-2866	151	7	research	research	NOUN
cana-2866	151	8	used	use	VERB
cana-2866	151	9	clahe	clahe	NOUN
cana-2866	151	10	for	for	ADP
cana-2866	151	11	image	image	NOUN
cana-2866	151	12	enhancing	enhancing	NOUN
cana-2866	151	13	.	.	PUNCT
cana-2866	152	1	low	low	ADJ
cana-2866	152	2	contrast	contrast	NOUN
cana-2866	152	3	image	image	NOUN
cana-2866	152	4	enhancement	enhancement	NOUN
cana-2866	152	5	has	have	AUX
cana-2866	152	6	been	be	AUX
cana-2866	152	7	successfully	successfully	ADV
cana-2866	152	8	achieved	achieve	VERB
cana-2866	152	9	with	with	ADP
cana-2866	152	10	clahe	clahe	PROPN
cana-2866	152	11	,	,	PUNCT
cana-2866	152	12	which	which	PRON
cana-2866	152	13	was	be	AUX
cana-2866	152	14	initially	initially	ADV
cana-2866	152	15	developed	develop	VERB
cana-2866	152	16	for	for	ADP
cana-2866	152	17	medical	medical	ADJ
cana-2866	152	18	image	image	NOUN
cana-2866	152	19	analysis	analysis	NOUN
cana-2866	152	20	.	.	PUNCT
cana-2866	153	1	comparing	compare	VERB
cana-2866	153	2	with	with	ADP
cana-2866	153	3	the	the	DET
cana-2866	153	4	typical	typical	ADJ
cana-2866	153	5	equalization	equalization	NOUN
cana-2866	153	6	of	of	ADP
cana-2866	153	7	histograms	histogram	NOUN
cana-2866	153	8	techniques	technique	NOUN
cana-2866	153	9	,	,	PUNCT
cana-2866	153	10	clahe	clahe	PROPN
cana-2866	153	11	makes	make	VERB
cana-2866	153	12	two	two	NUM
cana-2866	153	13	significant	significant	ADJ
cana-2866	153	14	advances	advance	NOUN
cana-2866	153	15	.	.	PUNCT
cana-2866	154	1	i	i	PRON
cana-2866	154	2	)	)	PUNCT
cana-2866	154	3	clahe	clahe	PROPN
cana-2866	154	4	has	have	VERB
cana-2866	154	5	the	the	DET
cana-2866	154	6	potential	potential	NOUN
cana-2866	154	7	to	to	PART
cana-2866	154	8	more	more	ADV
cana-2866	154	9	evenly	evenly	ADV
cana-2866	154	10	improve	improve	VERB
cana-2866	154	11	each	each	DET
cana-2866	154	12	pixel	pixel	PROPN
cana-2866	154	13	's	's	PART
cana-2866	154	14	contrast	contrast	NOUN
cana-2866	154	15	.	.	PUNCT
cana-2866	155	1	ii	ii	X
cana-2866	155	2	)	)	PUNCT
cana-2866	155	3	the	the	DET
cana-2866	155	4	range	range	NOUN
cana-2866	155	5	of	of	ADP
cana-2866	155	6	the	the	DET
cana-2866	155	7	histogram	histogram	NOUN
cana-2866	155	8	widens	widen	VERB
cana-2866	155	9	and	and	CCONJ
cana-2866	155	10	the	the	DET
cana-2866	155	11	image	image	NOUN
cana-2866	155	12	's	's	PART
cana-2866	155	13	gray	gray	ADJ
cana-2866	155	14	value	value	NOUN
cana-2866	155	15	distribution	distribution	NOUN
cana-2866	155	16	becomes	become	VERB
cana-2866	155	17	more	more	ADJ
cana-2866	155	18	uniform	uniform	ADJ
cana-2866	155	19	in	in	ADP
cana-2866	155	20	the	the	DET
cana-2866	155	21	conventional	conventional	ADJ
cana-2866	155	22	histogram	histogram	NOUN
cana-2866	155	23	equalization	equalization	NOUN
cana-2866	155	24	methods	method	NOUN
cana-2866	155	25	after	after	SCONJ
cana-2866	155	26	the	the	DET
cana-2866	155	27	histogram	histogram	NOUN
cana-2866	155	28	is	be	AUX
cana-2866	155	29	equalized	equalize	VERB
cana-2866	155	30	.	.	PUNCT
cana-2866	156	1	the	the	DET
cana-2866	156	2	local	local	ADJ
cana-2866	156	3	mapping	mapping	NOUN
cana-2866	156	4	function	function	NOUN
cana-2866	156	5	of	of	ADP
cana-2866	156	6	clahe	clahe	NOUN
cana-2866	156	7	may	may	AUX
cana-2866	156	8	be	be	AUX
cana-2866	156	9	found	find	VERB
cana-2866	156	10	in	in	ADP
cana-2866	156	11	equation	equation	NOUN
cana-2866	156	12	(	(	PUNCT
cana-2866	156	13	6	6	NUM
cana-2866	156	14	)	)	PUNCT
cana-2866	156	15	,	,	PUNCT
cana-2866	156	16	where	where	SCONJ
cana-2866	156	17	the	the	DET
cana-2866	156	18	gray	gray	ADJ
cana-2866	156	19	values	value	NOUN
cana-2866	156	20	before	before	ADP
cana-2866	156	21	and	and	CCONJ
cana-2866	156	22	after	after	SCONJ
cana-2866	156	23	the	the	DET
cana-2866	156	24	conversion	conversion	NOUN
cana-2866	156	25	are	be	AUX
cana-2866	156	26	denoted	denote	VERB
cana-2866	156	27	by	by	ADP
cana-2866	156	28	𝐷𝑎	𝐷𝑎	PROPN
cana-2866	156	29	and	and	CCONJ
cana-2866	156	30	𝐷ь	𝐷ь	PROPN
cana-2866	156	31	,	,	PUNCT
cana-2866	156	32	respectively	respectively	ADV
cana-2866	156	33	,	,	PUNCT
cana-2866	156	34	and	and	CCONJ
cana-2866	156	35	the	the	DET
cana-2866	156	36	number	number	NOUN
cana-2866	156	37	of	of	ADP
cana-2866	156	38	pixels	pixel	NOUN
cana-2866	156	39	in	in	ADP
cana-2866	156	40	the	the	DET
cana-2866	156	41	ith	ith	PROPN
cana-2866	156	42	gray	gray	ADJ
cana-2866	156	43	level	level	NOUN
cana-2866	156	44	is	be	AUX
cana-2866	156	45	represented	represent	VERB
cana-2866	156	46	by	by	ADP
cana-2866	156	47	𝐻(𝑖	𝐻(𝑖	NOUN
cana-2866	156	48	)	)	PUNCT
cana-2866	156	49	.	.	PUNCT
cana-2866	157	1	every	every	DET
cana-2866	157	2	area	area	NOUN
cana-2866	157	3	of	of	ADP
cana-2866	157	4	the	the	DET
cana-2866	157	5	image	image	NOUN
cana-2866	157	6	has	have	VERB
cana-2866	157	7	its	its	PRON
cana-2866	157	8	contrast	contrast	NOUN
cana-2866	157	9	optimized	optimize	VERB
cana-2866	157	10	using	use	VERB
cana-2866	157	11	clahe	clahe	NOUN
cana-2866	157	12	,	,	PUNCT
cana-2866	157	13	which	which	PRON
cana-2866	157	14	raises	raise	VERB
cana-2866	157	15	contrast	contrast	NOUN
cana-2866	157	16	overall	overall	ADV
cana-2866	157	17	.	.	PUNCT
cana-2866	158	1	𝐷ь	𝐷ь	PROPN
cana-2866	158	2	=	=	NOUN
cana-2866	158	3	255	255	NUM
cana-2866	158	4	8×8	8×8	NUM
cana-2866	159	1	∑𝐷𝑎	∑𝐷𝑎	NOUN
cana-2866	159	2	𝑖=0	𝑖=0	SYM
cana-2866	159	3	𝐻	𝐻	PROPN
cana-2866	159	4	(	(	PUNCT
cana-2866	159	5	𝑖	𝑖	NOUN
cana-2866	159	6	)	)	PUNCT
cana-2866	159	7	(	(	PUNCT
cana-2866	159	8	6	6	NUM
cana-2866	159	9	)	)	PUNCT
cana-2866	159	10	by	by	ADP
cana-2866	159	11	minimizing	minimize	VERB
cana-2866	159	12	contrast	contrast	NOUN
cana-2866	159	13	enhancement	enhancement	NOUN
cana-2866	159	14	,	,	PUNCT
cana-2866	159	15	clahe	clahe	PROPN
cana-2866	159	16	could	could	AUX
cana-2866	159	17	also	also	ADV
cana-2866	159	18	lessen	lessen	VERB
cana-2866	159	19	the	the	DET
cana-2866	159	20	issue	issue	NOUN
cana-2866	159	21	of	of	ADP
cana-2866	159	22	noise	noise	NOUN
cana-2866	159	23	enhancement	enhancement	NOUN
cana-2866	159	24	.	.	PUNCT
cana-2866	160	1	most	most	ADJ
cana-2866	160	2	pixels	pixel	NOUN
cana-2866	160	3	will	will	AUX
cana-2866	160	4	peak	peak	VERB
cana-2866	160	5	in	in	ADP
cana-2866	160	6	these	these	DET
cana-2866	160	7	regions	region	NOUN
cana-2866	160	8	of	of	ADP
cana-2866	160	9	the	the	DET
cana-2866	160	10	histogram	histogram	NOUN
cana-2866	160	11	,	,	PUNCT
cana-2866	160	12	if	if	SCONJ
cana-2866	160	13	they	they	PRON
cana-2866	160	14	fall	fall	VERB
cana-2866	160	15	within	within	ADP
cana-2866	160	16	the	the	DET
cana-2866	160	17	same	same	ADJ
cana-2866	160	18	gray	gray	ADJ
cana-2866	160	19	range	range	NOUN
cana-2866	160	20	.	.	PUNCT
cana-2866	161	1	since	since	SCONJ
cana-2866	161	2	the	the	DET
cana-2866	161	3	slope	slope	NOUN
cana-2866	161	4	of	of	ADP
cana-2866	161	5	the	the	DET
cana-2866	161	6	local	local	ADJ
cana-2866	161	7	mapping	mapping	NOUN
cana-2866	161	8	function	function	NOUN
cana-2866	161	9	will	will	AUX
cana-2866	161	10	be	be	AUX
cana-2866	161	11	quite	quite	ADV
cana-2866	161	12	great	great	ADJ
cana-2866	161	13	,	,	PUNCT
cana-2866	161	14	the	the	DET
cana-2866	161	15	areas	area	NOUN
cana-2866	161	16	are	be	AUX
cana-2866	161	17	pretty	pretty	ADV
cana-2866	161	18	high	high	ADJ
cana-2866	161	19	.	.	PUNCT
cana-2866	162	1	high	high	ADJ
cana-2866	162	2	gray	gray	ADJ
cana-2866	162	3	values	value	NOUN
cana-2866	162	4	will	will	AUX
cana-2866	162	5	be	be	AUX
cana-2866	162	6	transferred	transfer	VERB
cana-2866	162	7	to	to	ADP
cana-2866	162	8	low	low	ADJ
cana-2866	162	9	gray	gray	ADJ
cana-2866	162	10	values	value	NOUN
cana-2866	162	11	in	in	ADP
cana-2866	162	12	this	this	DET
cana-2866	162	13	case	case	NOUN
cana-2866	162	14	,	,	PUNCT
cana-2866	162	15	such	such	ADJ
cana-2866	162	16	as	as	ADP
cana-2866	162	17	the	the	DET
cana-2866	162	18	original	original	ADJ
cana-2866	162	19	background	background	NOUN
cana-2866	162	20	or	or	CCONJ
cana-2866	162	21	noise	noise	NOUN
cana-2866	162	22	.	.	PUNCT
cana-2866	163	1	limiting	limit	VERB
cana-2866	163	2	contrast	contrast	NOUN
cana-2866	163	3	enhancement	enhancement	NOUN
cana-2866	163	4	is	be	AUX
cana-2866	163	5	how	how	SCONJ
cana-2866	163	6	clahe	clahe	NOUN
cana-2866	163	7	addresses	address	VERB
cana-2866	163	8	the	the	DET
cana-2866	163	9	noise	noise	NOUN
cana-2866	163	10	issue	issue	NOUN
cana-2866	163	11	.	.	PUNCT
cana-2866	164	1	a	a	DET
cana-2866	164	2	certain	certain	ADJ
cana-2866	164	3	gray	gray	ADJ
cana-2866	164	4	value	value	NOUN
cana-2866	164	5	is	be	AUX
cana-2866	164	6	used	use	VERB
cana-2866	164	7	communications	communication	NOUN
cana-2866	164	8	on	on	ADP
cana-2866	164	9	applied	apply	VERB
cana-2866	164	10	nonlinear	nonlinear	ADJ
cana-2866	164	11	analysis	analysis	NOUN
cana-2866	164	12	issn	issn	NOUN
cana-2866	164	13	:	:	PUNCT
cana-2866	164	14	1074	1074	NUM
cana-2866	164	15	-	-	PUNCT
cana-2866	164	16	133x	133x	NUM
cana-2866	164	17	vol	vol	NOUN
cana-2866	164	18	32	32	NUM
cana-2866	164	19	no	no	NOUN
cana-2866	164	20	.	.	PUNCT
cana-2866	165	1	4s	4s	NUM
cana-2866	165	2	(	(	PUNCT
cana-2866	165	3	2025	2025	NUM
cana-2866	165	4	)	)	PUNCT
cana-2866	165	5	486	486	NUM
cana-2866	165	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2866	165	7	to	to	PART
cana-2866	165	8	determine	determine	VERB
cana-2866	165	9	the	the	DET
cana-2866	165	10	maximum	maximum	ADJ
cana-2866	165	11	number	number	NOUN
cana-2866	165	12	of	of	ADP
cana-2866	165	13	pixels	pixel	NOUN
cana-2866	165	14	(	(	PUNCT
cana-2866	165	15	𝐻𝑚𝑎𝑥	𝐻𝑚𝑎𝑥	PROPN
cana-2866	165	16	)	)	PUNCT
cana-2866	165	17	.	.	PUNCT
cana-2866	166	1	if	if	SCONJ
cana-2866	166	2	more	more	ADJ
cana-2866	166	3	pixels	pixel	NOUN
cana-2866	166	4	are	be	AUX
cana-2866	166	5	used	use	VERB
cana-2866	166	6	than	than	ADP
cana-2866	166	7	(	(	PUNCT
cana-2866	166	8	𝐻𝑚𝑎𝑥	𝐻𝑚𝑎𝑥	PROPN
cana-2866	166	9	)	)	PUNCT
cana-2866	166	10	,	,	PUNCT
cana-2866	166	11	the	the	DET
cana-2866	166	12	extra	extra	ADJ
cana-2866	166	13	gray	gray	ADJ
cana-2866	166	14	values	value	NOUN
cana-2866	166	15	are	be	AUX
cana-2866	166	16	clipped	clip	VERB
cana-2866	166	17	.	.	PUNCT
cana-2866	167	1	after	after	SCONJ
cana-2866	167	2	the	the	DET
cana-2866	167	3	histogram	histogram	NOUN
cana-2866	167	4	is	be	AUX
cana-2866	167	5	clipped	clip	VERB
cana-2866	167	6	,	,	PUNCT
cana-2866	167	7	the	the	DET
cana-2866	167	8	distribution	distribution	NOUN
cana-2866	167	9	of	of	ADP
cana-2866	167	10	pixel	pixel	ADJ
cana-2866	167	11	values	value	NOUN
cana-2866	167	12	becomes	become	VERB
cana-2866	167	13	more	more	ADV
cana-2866	167	14	uniform	uniform	ADJ
cana-2866	167	15	as	as	ADP
cana-2866	167	16	in	in	ADP
cana-2866	167	17	(	(	PUNCT
cana-2866	167	18	7	7	NUM
cana-2866	167	19	)	)	PUNCT
cana-2866	167	20	.	.	PUNCT
cana-2866	168	1	𝐻(𝐼)ˈ	𝐻(𝐼)ˈ	PROPN
cana-2866	168	2	=	=	NOUN
cana-2866	168	3	{	{	PUNCT
cana-2866	168	4	𝐻(𝑖	𝐻(𝑖	ADJ
cana-2866	168	5	)	)	PUNCT
cana-2866	169	1	+	+	CCONJ
cana-2866	169	2	𝐿	𝐿	PROPN
cana-2866	169	3	,	,	PUNCT
cana-2866	169	4	𝐻(𝑖	𝐻(𝑖	ADJ
cana-2866	169	5	)	)	PUNCT
cana-2866	169	6	<	<	X
cana-2866	170	1	𝐻𝑚𝑎𝑥	𝐻𝑚𝑎𝑥	PROPN
cana-2866	170	2	𝐻𝑚𝑎𝑥	𝐻𝑚𝑎𝑥	PROPN
cana-2866	170	3	+	+	CCONJ
cana-2866	170	4	𝐿	𝐿	PROPN
cana-2866	170	5	𝐻(𝑖	𝐻(𝑖	NOUN
cana-2866	170	6	)	)	PUNCT
cana-2866	170	7	≥	≥	NOUN
cana-2866	170	8	𝐻𝑚𝑎𝑥	𝐻𝑚𝑎𝑥	PROPN
cana-2866	170	9	(	(	PUNCT
cana-2866	170	10	7	7	NUM
cana-2866	170	11	)	)	PUNCT
cana-2866	170	12	the	the	DET
cana-2866	170	13	clahe	clahe	NOUN
cana-2866	170	14	technique	technique	NOUN
cana-2866	170	15	includes	include	VERB
cana-2866	170	16	pixels	pixel	NOUN
cana-2866	170	17	-	-	PUNCT
cana-2866	170	18	based	base	VERB
cana-2866	170	19	division	division	NOUN
cana-2866	170	20	sub	sub	NOUN
cana-2866	170	21	-	-	NOUN
cana-2866	170	22	class	class	NOUN
cana-2866	170	23	.	.	PUNCT
cana-2866	171	1	the	the	DET
cana-2866	171	2	specific	specific	ADJ
cana-2866	171	3	purpose	purpose	NOUN
cana-2866	171	4	of	of	ADP
cana-2866	171	5	its	its	PRON
cana-2866	171	6	creation	creation	NOUN
cana-2866	171	7	was	be	AUX
cana-2866	171	8	to	to	PART
cana-2866	171	9	enhance	enhance	VERB
cana-2866	171	10	low	low	ADJ
cana-2866	171	11	-	-	PUNCT
cana-2866	171	12	contrast	contrast	NOUN
cana-2866	171	13	medical	medical	ADJ
cana-2866	171	14	images	image	NOUN
cana-2866	171	15	[	[	X
cana-2866	171	16	49	49	NUM
cana-2866	171	17	]	]	PUNCT
cana-2866	171	18	.	.	PUNCT
cana-2866	172	1	a	a	DET
cana-2866	172	2	stepwise	stepwise	ADJ
cana-2866	172	3	procedure	procedure	NOUN
cana-2866	172	4	used	use	VERB
cana-2866	172	5	for	for	ADP
cana-2866	172	6	image	image	NOUN
cana-2866	172	7	enhancement	enhancement	NOUN
cana-2866	172	8	using	use	VERB
cana-2866	172	9	clahe	clahe	NOUN
cana-2866	172	10	:	:	PUNCT
cana-2866	172	11	step-1	step-1	PROPN
cana-2866	172	12	1	1	X
cana-2866	172	13	)	)	PUNCT
cana-2866	172	14	the	the	DET
cana-2866	172	15	first	first	ADJ
cana-2866	172	16	step	step	NOUN
cana-2866	172	17	is	be	AUX
cana-2866	172	18	to	to	PART
cana-2866	172	19	gather	gather	VERB
cana-2866	172	20	previously	previously	ADV
cana-2866	172	21	processed	process	VERB
cana-2866	172	22	images	image	NOUN
cana-2866	172	23	that	that	PRON
cana-2866	172	24	have	have	AUX
cana-2866	172	25	had	have	VERB
cana-2866	172	26	the	the	DET
cana-2866	172	27	2	2	NUM
cana-2866	172	28	)	)	PUNCT
cana-2866	172	29	background	background	NOUN
cana-2866	172	30	elimination	elimination	NOUN
cana-2866	172	31	.	.	PUNCT
cana-2866	173	1	the	the	DET
cana-2866	173	2	images	image	NOUN
cana-2866	173	3	are	be	AUX
cana-2866	173	4	divided	divide	VERB
cana-2866	173	5	into	into	ADP
cana-2866	173	6	a	a	DET
cana-2866	173	7	number	number	NOUN
cana-2866	173	8	of	of	ADP
cana-2866	173	9	small	small	ADJ
cana-2866	173	10	non	non	ADJ
cana-2866	173	11	overlapping	overlap	VERB
cana-2866	173	12	contextual	contextual	ADJ
cana-2866	173	13	regions	region	NOUN
cana-2866	173	14	called	call	VERB
cana-2866	173	15	tiles	tile	NOUN
cana-2866	173	16	or	or	CCONJ
cana-2866	173	17	blocks	block	NOUN
cana-2866	173	18	.	.	PUNCT
cana-2866	174	1	step-2	step-2	PROPN
cana-2866	174	2	3	3	NUM
cana-2866	174	3	)	)	PUNCT
cana-2866	174	4	the	the	DET
cana-2866	174	5	contrast	contrast	NOUN
cana-2866	174	6	of	of	ADP
cana-2866	174	7	the	the	DET
cana-2866	174	8	images	image	NOUN
cana-2866	174	9	is	be	AUX
cana-2866	174	10	controlled	control	VERB
cana-2866	174	11	by	by	ADP
cana-2866	174	12	the	the	DET
cana-2866	174	13	two	two	NUM
cana-2866	174	14	main	main	ADJ
cana-2866	174	15	parameters	parameter	NOUN
cana-2866	174	16	of	of	ADP
cana-2866	174	17	this	this	DET
cana-2866	174	18	method	method	NOUN
cana-2866	174	19	,	,	PUNCT
cana-2866	174	20	tile	tile	NOUN
cana-2866	174	21	size	size	NOUN
cana-2866	174	22	(	(	PUNCT
cana-2866	174	23	ts	ts	NOUN
cana-2866	174	24	)	)	PUNCT
cana-2866	174	25	and	and	CCONJ
cana-2866	174	26	clip	clip	PROPN
cana-2866	174	27	limit	limit	NOUN
cana-2866	174	28	(	(	PUNCT
cana-2866	174	29	cl	cl	NOUN
cana-2866	174	30	)	)	PUNCT
cana-2866	174	31	.	.	PUNCT
cana-2866	175	1	this	this	DET
cana-2866	175	2	paper	paper	NOUN
cana-2866	175	3	has	have	AUX
cana-2866	175	4	used	use	VERB
cana-2866	175	5	8x8	8x8	NUM
cana-2866	175	6	sized	sized	ADJ
cana-2866	175	7	contextual	contextual	ADJ
cana-2866	175	8	regions	region	NOUN
cana-2866	175	9	(	(	PUNCT
cana-2866	175	10	tiles	tile	NOUN
cana-2866	175	11	)	)	PUNCT
cana-2866	175	12	and	and	CCONJ
cana-2866	175	13	applied	apply	VERB
cana-2866	175	14	histogram	histogram	NOUN
cana-2866	175	15	equalization	equalization	NOUN
cana-2866	175	16	with	with	ADP
cana-2866	175	17	a	a	DET
cana-2866	175	18	clip	clip	NOUN
cana-2866	175	19	limit	limit	NOUN
cana-2866	175	20	3	3	NUM
cana-2866	175	21	as	as	ADP
cana-2866	175	22	a	a	DET
cana-2866	175	23	threshold	threshold	NOUN
cana-2866	175	24	limit	limit	NOUN
cana-2866	175	25	to	to	PART
cana-2866	175	26	avoid	avoid	VERB
cana-2866	175	27	oversaturation	oversaturation	NOUN
cana-2866	175	28	of	of	ADP
cana-2866	175	29	images	image	NOUN
cana-2866	175	30	(	(	PUNCT
cana-2866	175	31	in	in	ADP
cana-2866	175	32	homogeneous	homogeneous	ADJ
cana-2866	175	33	regions	region	NOUN
cana-2866	175	34	)	)	PUNCT
cana-2866	175	35	.	.	PUNCT
cana-2866	176	1	step-3	step-3	NUM
cana-2866	176	2	4	4	X
cana-2866	176	3	)	)	PUNCT
cana-2866	176	4	the	the	DET
cana-2866	176	5	image	image	NOUN
cana-2866	176	6	histogram	histogram	NOUN
cana-2866	176	7	is	be	AUX
cana-2866	176	8	calculated	calculate	VERB
cana-2866	176	9	for	for	ADP
cana-2866	176	10	each	each	DET
cana-2866	176	11	sub	sub	NOUN
cana-2866	176	12	-	-	NOUN
cana-2866	176	13	image	image	NOUN
cana-2866	176	14	using	use	VERB
cana-2866	176	15	the	the	DET
cana-2866	176	16	clahe	clahe	PROPN
cana-2866	176	17	approach	approach	NOUN
cana-2866	176	18	.	.	PUNCT
cana-2866	177	1	the	the	DET
cana-2866	177	2	resulting	result	VERB
cana-2866	177	3	histograms	histogram	NOUN
cana-2866	177	4	are	be	AUX
cana-2866	177	5	then	then	ADV
cana-2866	177	6	clipped	clip	VERB
cana-2866	177	7	for	for	ADP
cana-2866	177	8	each	each	DET
cana-2866	177	9	contextual	contextual	ADJ
cana-2866	177	10	region	region	NOUN
cana-2866	177	11	,	,	PUNCT
cana-2866	177	12	distributing	distribute	VERB
cana-2866	177	13	the	the	DET
cana-2866	177	14	clipped	clip	VERB
cana-2866	177	15	pixels	pixel	NOUN
cana-2866	177	16	over	over	ADP
cana-2866	177	17	all	all	DET
cana-2866	177	18	gray	gray	ADJ
cana-2866	177	19	levels	level	NOUN
cana-2866	177	20	.	.	PUNCT
cana-2866	178	1	step-4	step-4	NUM
cana-2866	178	2	5	5	NUM
cana-2866	178	3	)	)	PUNCT
cana-2866	178	4	since	since	SCONJ
cana-2866	178	5	the	the	DET
cana-2866	178	6	intensity	intensity	NOUN
cana-2866	178	7	of	of	ADP
cana-2866	178	8	picture	picture	NOUN
cana-2866	178	9	pixels	pixel	NOUN
cana-2866	178	10	is	be	AUX
cana-2866	178	11	restricted	restrict	VERB
cana-2866	178	12	to	to	ADP
cana-2866	178	13	the	the	DET
cana-2866	178	14	value	value	NOUN
cana-2866	178	15	of	of	ADP
cana-2866	178	16	cl	cl	NOUN
cana-2866	178	17	for	for	ADP
cana-2866	178	18	all	all	DET
cana-2866	178	19	gray	gray	ADJ
cana-2866	178	20	levels	level	NOUN
cana-2866	178	21	,	,	PUNCT
cana-2866	178	22	the	the	DET
cana-2866	178	23	newly	newly	ADV
cana-2866	178	24	generated	generate	VERB
cana-2866	178	25	histograms	histogram	NOUN
cana-2866	178	26	are	be	AUX
cana-2866	178	27	different	different	ADJ
cana-2866	178	28	from	from	ADP
cana-2866	178	29	the	the	DET
cana-2866	178	30	original	original	ADJ
cana-2866	178	31	ones	one	NOUN
cana-2866	178	32	.	.	PUNCT
cana-2866	179	1	while	while	SCONJ
cana-2866	179	2	determining	determine	VERB
cana-2866	179	3	the	the	DET
cana-2866	179	4	normalized	normalized	ADJ
cana-2866	179	5	cl	cl	NOUN
cana-2866	179	6	,	,	PUNCT
cana-2866	179	7	the	the	DET
cana-2866	179	8	tile	tile	NOUN
cana-2866	179	9	histogram	histogram	NOUN
cana-2866	179	10	is	be	AUX
cana-2866	179	11	computed	compute	VERB
cana-2866	179	12	.	.	PUNCT
cana-2866	180	1	the	the	DET
cana-2866	180	2	normalized	normalize	VERB
cana-2866	180	3	cl	cl	NOUN
cana-2866	180	4	is	be	AUX
cana-2866	180	5	then	then	ADV
cana-2866	180	6	used	use	VERB
cana-2866	180	7	to	to	PART
cana-2866	180	8	get	get	VERB
cana-2866	180	9	the	the	DET
cana-2866	180	10	true	true	ADJ
cana-2866	180	11	cl	cl	NOUN
cana-2866	180	12	,	,	PUNCT
cana-2866	180	13	which	which	PRON
cana-2866	180	14	is	be	AUX
cana-2866	180	15	subsequently	subsequently	ADV
cana-2866	180	16	used	use	VERB
cana-2866	180	17	to	to	PART
cana-2866	180	18	assess	assess	VERB
cana-2866	180	19	the	the	DET
cana-2866	180	20	standard	standard	NOUN
cana-2866	180	21	for	for	ADP
cana-2866	180	22	the	the	DET
cana-2866	180	23	sub	sub	ADJ
cana-2866	180	24	-	-	ADJ
cana-2866	180	25	image	image	ADJ
cana-2866	180	26	’s	’s	PART
cana-2866	180	27	histogram	histogram	NOUN
cana-2866	180	28	clipping	clipping	NOUN
cana-2866	180	29	.	.	PUNCT
cana-2866	181	1	step-5	step-5	VERB
cana-2866	181	2	the	the	DET
cana-2866	181	3	clahe	clahe	NOUN
cana-2866	181	4	method	method	NOUN
cana-2866	181	5	determines	determine	VERB
cana-2866	181	6	how	how	SCONJ
cana-2866	181	7	many	many	ADJ
cana-2866	181	8	pixels	pixel	NOUN
cana-2866	181	9	each	each	DET
cana-2866	181	10	sub	sub	NOUN
cana-2866	181	11	-	-	NOUN
cana-2866	181	12	image	image	NOUN
cana-2866	181	13	has	have	VERB
cana-2866	181	14	for	for	ADP
cana-2866	181	15	its	its	PRON
cana-2866	181	16	intensity	intensity	NOUN
cana-2866	181	17	,	,	PUNCT
cana-2866	181	18	which	which	PRON
cana-2866	181	19	is	be	AUX
cana-2866	181	20	then	then	ADV
cana-2866	181	21	equated	equate	VERB
cana-2866	181	22	with	with	ADP
cana-2866	181	23	cl	cl	NOUN
cana-2866	181	24	.	.	PUNCT
cana-2866	182	1	the	the	DET
cana-2866	182	2	value	value	NOUN
cana-2866	182	3	of	of	ADP
cana-2866	182	4	cl	cl	NOUN
cana-2866	182	5	sets	set	VERB
cana-2866	182	6	a	a	DET
cana-2866	182	7	limit	limit	NOUN
cana-2866	182	8	on	on	ADP
cana-2866	182	9	the	the	DET
cana-2866	182	10	number	number	NOUN
cana-2866	182	11	of	of	ADP
cana-2866	182	12	pixels	pixel	NOUN
cana-2866	182	13	that	that	PRON
cana-2866	182	14	correspond	correspond	VERB
cana-2866	182	15	to	to	ADP
cana-2866	182	16	each	each	DET
cana-2866	182	17	intensity	intensity	NOUN
cana-2866	182	18	value	value	NOUN
cana-2866	182	19	.	.	PUNCT
cana-2866	183	1	the	the	DET
cana-2866	183	2	leftover	leftover	NOUN
cana-2866	183	3	pixels	pixel	NOUN
cana-2866	183	4	(	(	PUNCT
cana-2866	183	5	above	above	ADP
cana-2866	183	6	cl	cl	NOUN
cana-2866	183	7	value	value	NOUN
cana-2866	183	8	)	)	PUNCT
cana-2866	183	9	are	be	AUX
cana-2866	183	10	spread	spread	VERB
cana-2866	183	11	out	out	ADP
cana-2866	183	12	to	to	PART
cana-2866	183	13	cover	cover	VERB
cana-2866	183	14	the	the	DET
cana-2866	183	15	sub	sub	NOUN
cana-2866	183	16	-	-	NOUN
cana-2866	183	17	images	image	NOUN
cana-2866	183	18	.	.	PUNCT
cana-2866	184	1	the	the	DET
cana-2866	184	2	output	output	NOUN
cana-2866	184	3	is	be	AUX
cana-2866	184	4	then	then	ADV
cana-2866	184	5	subjected	subject	VERB
cana-2866	184	6	to	to	ADP
cana-2866	184	7	a	a	DET
cana-2866	184	8	transform	transform	NOUN
cana-2866	184	9	function	function	NOUN
cana-2866	184	10	to	to	PART
cana-2866	184	11	adjust	adjust	VERB
cana-2866	184	12	the	the	DET
cana-2866	184	13	resulting	result	VERB
cana-2866	184	14	image	image	NOUN
cana-2866	184	15	so	so	SCONJ
cana-2866	184	16	that	that	SCONJ
cana-2866	184	17	it	it	PRON
cana-2866	184	18	looks	look	VERB
cana-2866	184	19	more	more	ADV
cana-2866	184	20	realistic	realistic	ADJ
cana-2866	184	21	.	.	PUNCT
cana-2866	185	1	ultimately	ultimately	ADV
cana-2866	185	2	,	,	PUNCT
cana-2866	185	3	the	the	DET
cana-2866	185	4	combined	combined	ADJ
cana-2866	185	5	final	final	ADJ
cana-2866	185	6	image	image	NOUN
cana-2866	185	7	with	with	ADP
cana-2866	185	8	improved	improved	ADJ
cana-2866	185	9	quality	quality	NOUN
cana-2866	185	10	is	be	AUX
cana-2866	185	11	created	create	VERB
cana-2866	185	12	by	by	ADP
cana-2866	185	13	combining	combine	VERB
cana-2866	185	14	all	all	PRON
cana-2866	185	15	of	of	ADP
cana-2866	185	16	the	the	DET
cana-2866	185	17	improved	improved	ADJ
cana-2866	185	18	sub	sub	NOUN
cana-2866	185	19	-	-	NOUN
cana-2866	185	20	images	image	NOUN
cana-2866	185	21	.	.	PUNCT
cana-2866	186	1	6	6	NUM
cana-2866	186	2	)	)	PUNCT
cana-2866	186	3	figure4	figure4	PROPN
cana-2866	186	4	.	.	PUNCT
cana-2866	187	1	shows	show	VERB
cana-2866	187	2	sample	sample	NOUN
cana-2866	187	3	images	image	NOUN
cana-2866	187	4	after	after	ADP
cana-2866	187	5	image	image	NOUN
cana-2866	187	6	enhancement	enhancement	NOUN
cana-2866	187	7	using	use	VERB
cana-2866	187	8	clahe	clahe	PROPN
cana-2866	187	9	.	.	PUNCT
cana-2866	188	1	fig	fig	PROPN
cana-2866	188	2	4	4	NUM
cana-2866	188	3	:	:	PUNCT
cana-2866	188	4	sample	sample	NOUN
cana-2866	188	5	images	image	NOUN
cana-2866	188	6	after	after	SCONJ
cana-2866	188	7	enhancement	enhancement	NOUN
cana-2866	188	8	using	use	VERB
cana-2866	188	9	clahe	clahe	NOUN
cana-2866	188	10	communications	communication	NOUN
cana-2866	188	11	on	on	ADP
cana-2866	188	12	applied	apply	VERB
cana-2866	188	13	nonlinear	nonlinear	ADJ
cana-2866	188	14	analysis	analysis	NOUN
cana-2866	188	15	issn	issn	NOUN
cana-2866	188	16	:	:	PUNCT
cana-2866	188	17	1074	1074	NUM
cana-2866	188	18	-	-	PUNCT
cana-2866	188	19	133x	133x	NUM
cana-2866	188	20	vol	vol	NOUN
cana-2866	188	21	32	32	NUM
cana-2866	188	22	no	no	NOUN
cana-2866	188	23	.	.	PUNCT
cana-2866	189	1	4s	4s	NUM
cana-2866	189	2	(	(	PUNCT
cana-2866	189	3	2025	2025	NUM
cana-2866	189	4	)	)	PUNCT
cana-2866	189	5	487	487	NUM
cana-2866	189	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2866	189	7	e.	e.	PROPN
cana-2866	189	8	image	image	PROPN
cana-2866	189	9	enhancement	enhancement	NOUN
cana-2866	189	10	using	use	VERB
cana-2866	189	11	unsharp	unsharp	ADJ
cana-2866	189	12	masking	masking	NOUN
cana-2866	189	13	this	this	DET
cana-2866	189	14	paper	paper	NOUN
cana-2866	189	15	used	use	VERB
cana-2866	189	16	unsharp	unsharp	ADJ
cana-2866	189	17	masking	masking	NOUN
cana-2866	189	18	also	also	ADV
cana-2866	189	19	to	to	PART
cana-2866	189	20	improve	improve	VERB
cana-2866	189	21	the	the	DET
cana-2866	189	22	image	image	NOUN
cana-2866	189	23	's	's	PART
cana-2866	189	24	sharpness	sharpness	NOUN
cana-2866	189	25	.	.	PUNCT
cana-2866	190	1	by	by	ADP
cana-2866	190	2	suppressing	suppress	VERB
cana-2866	190	3	the	the	DET
cana-2866	190	4	lowfrequency	lowfrequency	ADJ
cana-2866	190	5	components	component	NOUN
cana-2866	190	6	while	while	SCONJ
cana-2866	190	7	high	high	ADJ
cana-2866	190	8	-	-	PUNCT
cana-2866	190	9	frequency	frequency	NOUN
cana-2866	190	10	components	component	NOUN
cana-2866	190	11	are	be	AUX
cana-2866	190	12	amplified	amplify	VERB
cana-2866	190	13	.	.	PUNCT
cana-2866	191	1	the	the	DET
cana-2866	191	2	unsharp	unsharp	ADJ
cana-2866	191	3	masking	masking	NOUN
cana-2866	191	4	algorithm	algorithm	NOUN
cana-2866	191	5	is	be	AUX
cana-2866	191	6	described	describe	VERB
cana-2866	191	7	in	in	ADP
cana-2866	191	8	detail	detail	NOUN
cana-2866	191	9	below	below	ADV
cana-2866	191	10	:	:	PUNCT
cana-2866	191	11	1	1	X
cana-2866	191	12	.	.	X
cana-2866	191	13	read	read	VERB
cana-2866	191	14	the	the	DET
cana-2866	191	15	image	image	NOUN
cana-2866	191	16	2	2	NUM
cana-2866	191	17	.	.	PUNCT
cana-2866	191	18	blur	blur	VERB
cana-2866	191	19	the	the	DET
cana-2866	191	20	image	image	NOUN
cana-2866	191	21	:	:	PUNCT
cana-2866	191	22	blur	blur	VERB
cana-2866	191	23	the	the	DET
cana-2866	191	24	image	image	NOUN
cana-2866	191	25	using	use	VERB
cana-2866	191	26	smoothing	smooth	VERB
cana-2866	191	27	filters	filter	NOUN
cana-2866	191	28	(	(	PUNCT
cana-2866	191	29	gaussian	gaussian	ADJ
cana-2866	191	30	noise	noise	NOUN
cana-2866	191	31	)	)	PUNCT
cana-2866	191	32	.	.	PUNCT
cana-2866	192	1	this	this	DET
cana-2866	192	2	stage	stage	NOUN
cana-2866	192	3	requires	require	VERB
cana-2866	192	4	convolution	convolution	NOUN
cana-2866	192	5	based	base	VERB
cana-2866	192	6	smoothing	smoothing	NOUN
cana-2866	192	7	filters	filter	NOUN
cana-2866	192	8	.	.	PUNCT
cana-2866	193	1	let	let	AUX
cana-2866	193	2	smooth	smooth	ADJ
cana-2866	193	3	or	or	CCONJ
cana-2866	193	4	blurred	blurred	ADJ
cana-2866	193	5	image	image	NOUN
cana-2866	193	6	taken	take	VERB
cana-2866	193	7	as	as	ADP
cana-2866	193	8	𝑓ꞌ(𝑥	𝑓ꞌ(𝑥	NOUN
cana-2866	193	9	,	,	PUNCT
cana-2866	193	10	𝑦	𝑦	NOUN
cana-2866	193	11	)	)	PUNCT
cana-2866	193	12	3	3	NUM
cana-2866	193	13	.	.	X
cana-2866	193	14	construct	construct	VERB
cana-2866	193	15	the	the	DET
cana-2866	193	16	mask	mask	NOUN
cana-2866	193	17	:	:	PUNCT
cana-2866	193	18	to	to	PART
cana-2866	193	19	get	get	VERB
cana-2866	193	20	the	the	DET
cana-2866	193	21	"	"	PUNCT
cana-2866	193	22	mask	mask	NOUN
cana-2866	193	23	"	"	PUNCT
cana-2866	193	24	,	,	PUNCT
cana-2866	193	25	subtract	subtract	VERB
cana-2866	193	26	the	the	DET
cana-2866	193	27	original	original	ADJ
cana-2866	193	28	image	image	NOUN
cana-2866	193	29	from	from	ADP
cana-2866	193	30	the	the	DET
cana-2866	193	31	blurred	blurred	ADJ
cana-2866	193	32	one	one	NUM
cana-2866	193	33	.	.	PUNCT
cana-2866	194	1	the	the	DET
cana-2866	194	2	high	high	ADJ
cana-2866	194	3	-	-	PUNCT
cana-2866	194	4	frequency	frequency	NOUN
cana-2866	194	5	elements	element	NOUN
cana-2866	194	6	(	(	PUNCT
cana-2866	194	7	edges	edge	NOUN
cana-2866	194	8	and	and	CCONJ
cana-2866	194	9	fine	fine	ADJ
cana-2866	194	10	features	feature	NOUN
cana-2866	194	11	)	)	PUNCT
cana-2866	194	12	that	that	PRON
cana-2866	194	13	are	be	AUX
cana-2866	194	14	present	present	ADJ
cana-2866	194	15	in	in	ADP
cana-2866	194	16	the	the	DET
cana-2866	194	17	original	original	ADJ
cana-2866	194	18	image	image	NOUN
cana-2866	194	19	but	but	CCONJ
cana-2866	194	20	not	not	PART
cana-2866	194	21	in	in	ADP
cana-2866	194	22	the	the	DET
cana-2866	194	23	blurred	blurred	ADJ
cana-2866	194	24	image	image	NOUN
cana-2866	194	25	are	be	AUX
cana-2866	194	26	represented	represent	VERB
cana-2866	194	27	by	by	ADP
cana-2866	194	28	this	this	DET
cana-2866	194	29	mask	mask	NOUN
cana-2866	194	30	.	.	PUNCT
cana-2866	195	1	i.e.	i.e.	X
cana-2866	195	2	,	,	PUNCT
cana-2866	195	3	original	original	ADJ
cana-2866	195	4	image	image	NOUN
cana-2866	195	5	𝑓(𝑥	𝑓(𝑥	NOUN
cana-2866	195	6	,	,	PUNCT
cana-2866	195	7	𝑦	𝑦	NOUN
cana-2866	195	8	)	)	PUNCT
cana-2866	195	9	is	be	AUX
cana-2866	195	10	subtracted	subtract	VERB
cana-2866	195	11	from	from	ADP
cana-2866	195	12	blurred	blurred	ADJ
cana-2866	195	13	image	image	NOUN
cana-2866	195	14	𝑓ꞌ(𝑥	𝑓ꞌ(𝑥	NOUN
cana-2866	195	15	,	,	PUNCT
cana-2866	195	16	𝑦	𝑦	X
cana-2866	195	17	)	)	PUNCT
cana-2866	195	18	the	the	DET
cana-2866	195	19	equation	equation	NOUN
cana-2866	195	20	(	(	PUNCT
cana-2866	195	21	8)	8)	NUM
cana-2866	195	22	is	be	AUX
cana-2866	195	23	sharper	sharp	ADJ
cana-2866	195	24	image	image	NOUN
cana-2866	195	25	𝑓ѕ	𝑓ѕ	ADP
cana-2866	195	26	𝑀𝑎𝑠𝑘	𝑀𝑎𝑠𝑘	PROPN
cana-2866	195	27	=	=	PUNCT
cana-2866	195	28	𝑓(𝑥	𝑓(𝑥	NOUN
cana-2866	195	29	,	,	PUNCT
cana-2866	195	30	𝑦	𝑦	NOUN
cana-2866	195	31	)	)	PUNCT
cana-2866	195	32	−	−	NOUN
cana-2866	195	33	𝑓ꞌ(𝑥	𝑓ꞌ(𝑥	NOUN
cana-2866	195	34	,	,	PUNCT
cana-2866	195	35	𝑦	𝑦	NOUN
cana-2866	195	36	)	)	PUNCT
cana-2866	195	37	.	.	PUNCT
cana-2866	196	1	(	(	PUNCT
cana-2866	196	2	8)	8)	NUM
cana-2866	196	3	4	4	NUM
cana-2866	196	4	.	.	PUNCT
cana-2866	196	5	to	to	ADP
cana-2866	196	6	the	the	DET
cana-2866	196	7	original	original	ADJ
cana-2866	196	8	image	image	NOUN
cana-2866	196	9	,	,	PUNCT
cana-2866	196	10	add	add	VERB
cana-2866	196	11	the	the	DET
cana-2866	196	12	mask	mask	NOUN
cana-2866	196	13	.	.	PUNCT
cana-2866	197	1	multiply	multiply	VERB
cana-2866	197	2	the	the	DET
cana-2866	197	3	mask	mask	NOUN
cana-2866	197	4	by	by	ADP
cana-2866	197	5	a	a	DET
cana-2866	197	6	gain	gain	NOUN
cana-2866	197	7	factor	factor	NOUN
cana-2866	197	8	(	(	PUNCT
cana-2866	197	9	usually	usually	ADV
cana-2866	197	10	represented	represent	VERB
cana-2866	197	11	by	by	ADP
cana-2866	197	12	the	the	DET
cana-2866	197	13	letter	letter	NOUN
cana-2866	197	14	k	k	PROPN
cana-2866	197	15	)	)	PUNCT
cana-2866	197	16	to	to	PART
cana-2866	197	17	make	make	VERB
cana-2866	197	18	it	it	PRON
cana-2866	197	19	more	more	ADV
cana-2866	197	20	amplified	amplify	VERB
cana-2866	197	21	.	.	PUNCT
cana-2866	198	1	to	to	PART
cana-2866	198	2	create	create	VERB
cana-2866	198	3	the	the	DET
cana-2866	198	4	sharper	sharp	ADJ
cana-2866	198	5	image	image	NOUN
cana-2866	198	6	g	g	NOUN
cana-2866	198	7	,	,	PUNCT
cana-2866	198	8	add	add	VERB
cana-2866	198	9	this	this	DET
cana-2866	198	10	amplified	amplify	VERB
cana-2866	198	11	mask	mask	NOUN
cana-2866	198	12	back	back	ADV
cana-2866	198	13	to	to	ADP
cana-2866	198	14	the	the	DET
cana-2866	198	15	original	original	ADJ
cana-2866	198	16	using	using	NOUN
cana-2866	198	17	equation	equation	NOUN
cana-2866	198	18	(	(	PUNCT
cana-2866	198	19	9	9	NUM
cana-2866	198	20	)	)	PUNCT
cana-2866	198	21	.	.	PUNCT
cana-2866	199	1	𝑔(𝑥	𝑔(𝑥	PROPN
cana-2866	199	2	,	,	PUNCT
cana-2866	199	3	𝑦	𝑦	NOUN
cana-2866	199	4	)	)	PUNCT
cana-2866	199	5	=	=	SYM
cana-2866	199	6	𝑓(𝑥	𝑓(𝑥	NOUN
cana-2866	199	7	,	,	PUNCT
cana-2866	199	8	𝑦	𝑦	NOUN
cana-2866	199	9	)	)	PUNCT
cana-2866	199	10	+	+	CCONJ
cana-2866	199	11	𝑘	𝑘	DET
cana-2866	199	12	∗	∗	NOUN
cana-2866	199	13	𝑀𝑎𝑠𝑘	𝑀𝑎𝑠𝑘	PROPN
cana-2866	199	14	(	(	PUNCT
cana-2866	199	15	9	9	NUM
cana-2866	199	16	)	)	PUNCT
cana-2866	199	17	the	the	DET
cana-2866	199	18	figure	figure	NOUN
cana-2866	199	19	5	5	NUM
cana-2866	199	20	.	.	PUNCT
cana-2866	199	21	shows	show	VERB
cana-2866	199	22	sample	sample	NOUN
cana-2866	199	23	images	image	NOUN
cana-2866	199	24	after	after	ADP
cana-2866	199	25	enhancement	enhancement	NOUN
cana-2866	199	26	using	use	VERB
cana-2866	199	27	clahe	clahe	NOUN
cana-2866	199	28	and	and	CCONJ
cana-2866	199	29	unsharp	unsharp	ADJ
cana-2866	199	30	masking	masking	NOUN
cana-2866	199	31	.	.	PUNCT
cana-2866	200	1	figure	figure	NOUN
cana-2866	200	2	5	5	NUM
cana-2866	200	3	.	.	PUNCT
cana-2866	200	4	shows	show	VERB
cana-2866	200	5	sample	sample	NOUN
cana-2866	200	6	images	image	NOUN
cana-2866	200	7	after	after	ADP
cana-2866	200	8	enhancement	enhancement	NOUN
cana-2866	200	9	using	use	VERB
cana-2866	200	10	unsharp	unsharp	NOUN
cana-2866	200	11	.	.	PUNCT
cana-2866	201	1	fig	fig	NOUN
cana-2866	201	2	5	5	NUM
cana-2866	201	3	:	:	PUNCT
cana-2866	201	4	sample	sample	NOUN
cana-2866	201	5	images	image	NOUN
cana-2866	201	6	after	after	ADP
cana-2866	201	7	enhancement	enhancement	NOUN
cana-2866	201	8	using	use	VERB
cana-2866	201	9	unsharp	unsharp	ADJ
cana-2866	201	10	when	when	SCONJ
cana-2866	201	11	working	work	VERB
cana-2866	201	12	with	with	ADP
cana-2866	201	13	images	image	NOUN
cana-2866	201	14	that	that	PRON
cana-2866	201	15	need	need	VERB
cana-2866	201	16	for	for	ADP
cana-2866	201	17	precise	precise	ADJ
cana-2866	201	18	local	local	ADJ
cana-2866	201	19	contrast	contrast	NOUN
cana-2866	201	20	enhancement	enhancement	NOUN
cana-2866	201	21	,	,	PUNCT
cana-2866	201	22	clahe	clahe	PROPN
cana-2866	201	23	is	be	AUX
cana-2866	201	24	quite	quite	ADV
cana-2866	201	25	helpful	helpful	ADJ
cana-2866	201	26	,	,	PUNCT
cana-2866	201	27	especially	especially	ADV
cana-2866	201	28	in	in	ADP
cana-2866	201	29	domains	domain	NOUN
cana-2866	201	30	such	such	ADJ
cana-2866	201	31	as	as	ADP
cana-2866	201	32	medical	medical	ADJ
cana-2866	201	33	imaging	imaging	NOUN
cana-2866	201	34	or	or	CCONJ
cana-2866	201	35	scenarios	scenario	NOUN
cana-2866	201	36	were	be	AUX
cana-2866	201	37	maintaining	maintain	VERB
cana-2866	201	38	natural	natural	ADJ
cana-2866	201	39	appearance	appearance	NOUN
cana-2866	201	40	and	and	CCONJ
cana-2866	201	41	minimizing	minimize	VERB
cana-2866	201	42	noise	noise	NOUN
cana-2866	201	43	enhancement	enhancement	NOUN
cana-2866	201	44	are	be	AUX
cana-2866	201	45	crucial	crucial	ADJ
cana-2866	201	46	.	.	PUNCT
cana-2866	202	1	conversely	conversely	ADV
cana-2866	202	2	,	,	PUNCT
cana-2866	202	3	unsharp	unsharp	ADJ
cana-2866	202	4	masking	masking	NOUN
cana-2866	202	5	is	be	AUX
cana-2866	202	6	better	well	ADV
cana-2866	202	7	suited	suit	VERB
cana-2866	202	8	for	for	ADP
cana-2866	202	9	broad	broad	ADJ
cana-2866	202	10	edge	edge	NOUN
cana-2866	202	11	enhancement	enhancement	NOUN
cana-2866	202	12	in	in	ADP
cana-2866	202	13	photography	photography	NOUN
cana-2866	202	14	but	but	CCONJ
cana-2866	202	15	does	do	AUX
cana-2866	202	16	not	not	PART
cana-2866	202	17	have	have	VERB
cana-2866	202	18	the	the	DET
cana-2866	202	19	contrast	contrast	NOUN
cana-2866	202	20	limiting	limit	VERB
cana-2866	202	21	features	feature	NOUN
cana-2866	202	22	and	and	CCONJ
cana-2866	202	23	adaptable	adaptable	ADJ
cana-2866	202	24	capabilities	capability	NOUN
cana-2866	202	25	of	of	ADP
cana-2866	202	26	clahe	clahe	NOUN
cana-2866	202	27	.	.	PUNCT
cana-2866	203	1	f.	f.	PROPN
cana-2866	203	2	image	image	PROPN
cana-2866	203	3	segmentation	segmentation	NOUN
cana-2866	203	4	to	to	PART
cana-2866	203	5	address	address	VERB
cana-2866	203	6	this	this	PRON
cana-2866	203	7	in	in	ADP
cana-2866	203	8	mammogram	mammogram	NOUN
cana-2866	203	9	images	image	NOUN
cana-2866	203	10	this	this	DET
cana-2866	203	11	present	present	ADJ
cana-2866	203	12	paper	paper	NOUN
cana-2866	203	13	employed	employ	VERB
cana-2866	203	14	a	a	DET
cana-2866	203	15	segmentation	segmentation	NOUN
cana-2866	203	16	process	process	NOUN
cana-2866	203	17	to	to	PART
cana-2866	203	18	identify	identify	VERB
cana-2866	203	19	and	and	CCONJ
cana-2866	203	20	extract	extract	VERB
cana-2866	203	21	particular	particular	ADJ
cana-2866	203	22	areas	area	NOUN
cana-2866	203	23	or	or	CCONJ
cana-2866	203	24	features	feature	NOUN
cana-2866	203	25	from	from	ADP
cana-2866	203	26	an	an	DET
cana-2866	203	27	image	image	NOUN
cana-2866	203	28	that	that	PRON
cana-2866	203	29	enhances	enhance	VERB
cana-2866	203	30	classification	classification	NOUN
cana-2866	203	31	accuracy	accuracy	NOUN
cana-2866	203	32	by	by	ADP
cana-2866	203	33	enabling	enable	VERB
cana-2866	203	34	classifiers	classifier	NOUN
cana-2866	203	35	to	to	PART
cana-2866	203	36	concentrate	concentrate	VERB
cana-2866	203	37	exclusively	exclusively	ADV
cana-2866	203	38	on	on	ADP
cana-2866	203	39	features	feature	NOUN
cana-2866	203	40	inside	inside	ADP
cana-2866	203	41	the	the	DET
cana-2866	203	42	tumor	tumor	NOUN
cana-2866	203	43	boundary	boundary	NOUN
cana-2866	203	44	in	in	ADP
cana-2866	203	45	the	the	DET
cana-2866	203	46	context	context	NOUN
cana-2866	203	47	of	of	ADP
cana-2866	203	48	tumor	tumor	NOUN
cana-2866	203	49	communications	communication	NOUN
cana-2866	203	50	on	on	ADP
cana-2866	203	51	applied	apply	VERB
cana-2866	203	52	nonlinear	nonlinear	ADJ
cana-2866	203	53	analysis	analysis	NOUN
cana-2866	203	54	issn	issn	NOUN
cana-2866	203	55	:	:	PUNCT
cana-2866	203	56	1074	1074	NUM
cana-2866	203	57	-	-	PUNCT
cana-2866	203	58	133x	133x	NUM
cana-2866	203	59	vol	vol	NOUN
cana-2866	203	60	32	32	NUM
cana-2866	203	61	no	no	NOUN
cana-2866	203	62	.	.	PUNCT
cana-2866	204	1	4s	4s	NUM
cana-2866	204	2	(	(	PUNCT
cana-2866	204	3	2025	2025	NUM
cana-2866	204	4	)	)	PUNCT
cana-2866	205	1	488	488	NUM
cana-2866	205	2	https://internationalpubls.com	https://internationalpubls.com	X
cana-2866	205	3	identification	identification	NOUN
cana-2866	205	4	.	.	PUNCT
cana-2866	206	1	the	the	DET
cana-2866	206	2	image	image	NOUN
cana-2866	206	3	is	be	AUX
cana-2866	206	4	segmented	segment	VERB
cana-2866	206	5	into	into	ADP
cana-2866	206	6	regions	region	NOUN
cana-2866	206	7	of	of	ADP
cana-2866	206	8	interest	interest	NOUN
cana-2866	206	9	(	(	PUNCT
cana-2866	206	10	roi	roi	NOUN
cana-2866	206	11	)	)	PUNCT
cana-2866	206	12	,	,	PUNCT
cana-2866	206	13	which	which	PRON
cana-2866	206	14	helps	help	VERB
cana-2866	206	15	to	to	PART
cana-2866	206	16	focus	focus	VERB
cana-2866	206	17	the	the	DET
cana-2866	206	18	subsequent	subsequent	ADJ
cana-2866	206	19	classification	classification	NOUN
cana-2866	206	20	effort	effort	NOUN
cana-2866	206	21	on	on	ADP
cana-2866	206	22	smaller	small	ADJ
cana-2866	206	23	,	,	PUNCT
cana-2866	206	24	easier	easy	ADJ
cana-2866	206	25	-	-	PUNCT
cana-2866	206	26	to	to	ADP
cana-2866	206	27	-	-	PUNCT
cana-2866	206	28	manage	manage	VERB
cana-2866	206	29	sections	section	NOUN
cana-2866	206	30	.	.	PUNCT
cana-2866	207	1	as	as	ADP
cana-2866	207	2	a	a	DET
cana-2866	207	3	result	result	NOUN
cana-2866	207	4	,	,	PUNCT
cana-2866	207	5	the	the	DET
cana-2866	207	6	classification	classification	NOUN
cana-2866	207	7	algorithms	algorithm	NOUN
cana-2866	207	8	analyze	analyze	VERB
cana-2866	207	9	the	the	DET
cana-2866	207	10	divided	divide	VERB
cana-2866	207	11	sections	section	NOUN
cana-2866	207	12	more	more	ADV
cana-2866	207	13	quickly	quickly	ADV
cana-2866	207	14	and	and	CCONJ
cana-2866	207	15	efficiently	efficiently	ADV
cana-2866	207	16	due	due	ADJ
cana-2866	207	17	to	to	ADP
cana-2866	207	18	a	a	DET
cana-2866	207	19	decrease	decrease	NOUN
cana-2866	207	20	in	in	ADP
cana-2866	207	21	computing	compute	VERB
cana-2866	207	22	complexity	complexity	NOUN
cana-2866	207	23	.	.	PUNCT
cana-2866	208	1	to	to	PART
cana-2866	208	2	implement	implement	VERB
cana-2866	208	3	the	the	DET
cana-2866	208	4	above	above	ADJ
cana-2866	208	5	precisely	precisely	ADV
cana-2866	208	6	and	and	CCONJ
cana-2866	208	7	accurately	accurately	ADV
cana-2866	208	8	,	,	PUNCT
cana-2866	208	9	this	this	DET
cana-2866	208	10	paper	paper	NOUN
cana-2866	208	11	used	use	VERB
cana-2866	208	12	k	k	ADJ
cana-2866	208	13	-	-	PUNCT
cana-2866	208	14	means	mean	VERB
cana-2866	208	15	algorithms	algorithm	NOUN
cana-2866	208	16	for	for	ADP
cana-2866	208	17	segmenting	segment	VERB
cana-2866	208	18	the	the	DET
cana-2866	208	19	images	image	NOUN
cana-2866	208	20	prior	prior	ADV
cana-2866	208	21	feature	feature	NOUN
cana-2866	208	22	extraction	extraction	NOUN
cana-2866	208	23	and	and	CCONJ
cana-2866	208	24	classification	classification	NOUN
cana-2866	208	25	of	of	ADP
cana-2866	208	26	images	image	NOUN
cana-2866	208	27	.	.	PUNCT
cana-2866	209	1	g.	g.	PROPN
cana-2866	209	2	segmentation	segmentation	PROPN
cana-2866	209	3	using	use	VERB
cana-2866	209	4	k	k	ADJ
cana-2866	209	5	-	-	PUNCT
cana-2866	209	6	means	means	NOUN
cana-2866	209	7	algorithm	algorithm	NOUN
cana-2866	209	8	to	to	PART
cana-2866	209	9	increase	increase	VERB
cana-2866	209	10	the	the	DET
cana-2866	209	11	classification	classification	NOUN
cana-2866	209	12	accuracy	accuracy	NOUN
cana-2866	209	13	the	the	DET
cana-2866	209	14	proposed	propose	VERB
cana-2866	209	15	work	work	NOUN
cana-2866	209	16	used	use	VERB
cana-2866	209	17	k	k	NOUN
cana-2866	209	18	-	-	PUNCT
cana-2866	209	19	means	means	NOUN
cana-2866	209	20	for	for	ADP
cana-2866	209	21	segmenting	segment	VERB
cana-2866	209	22	significant	significant	ADJ
cana-2866	209	23	regions	region	NOUN
cana-2866	209	24	(	(	PUNCT
cana-2866	209	25	disordered	disordered	ADJ
cana-2866	209	26	portions	portion	NOUN
cana-2866	209	27	)	)	PUNCT
cana-2866	209	28	in	in	ADP
cana-2866	209	29	an	an	DET
cana-2866	209	30	image	image	NOUN
cana-2866	209	31	.	.	PUNCT
cana-2866	210	1	k	k	X
cana-2866	210	2	-	-	PUNCT
cana-2866	210	3	means	mean	NOUN
cana-2866	210	4	used	use	VERB
cana-2866	210	5	to	to	PART
cana-2866	210	6	estimate	estimate	VERB
cana-2866	210	7	the	the	DET
cana-2866	210	8	number	number	NOUN
cana-2866	210	9	of	of	ADP
cana-2866	210	10	clusters	cluster	NOUN
cana-2866	210	11	that	that	PRON
cana-2866	210	12	depended	depend	VERB
cana-2866	210	13	on	on	ADP
cana-2866	210	14	the	the	DET
cana-2866	210	15	values	value	NOUN
cana-2866	210	16	of	of	ADP
cana-2866	210	17	pixels	pixel	NOUN
cana-2866	210	18	.	.	PUNCT
cana-2866	211	1	this	this	DET
cana-2866	211	2	work	work	NOUN
cana-2866	211	3	has	have	AUX
cana-2866	211	4	used	use	VERB
cana-2866	211	5	3	3	NUM
cana-2866	211	6	clusters	cluster	NOUN
cana-2866	211	7	and	and	CCONJ
cana-2866	211	8	divides	divide	VERB
cana-2866	211	9	pixels	pixel	NOUN
cana-2866	211	10	into	into	ADP
cana-2866	211	11	homogeneous	homogeneous	ADJ
cana-2866	211	12	clusters	cluster	NOUN
cana-2866	211	13	for	for	ADP
cana-2866	211	14	segregating	segregate	VERB
cana-2866	211	15	normal	normal	ADJ
cana-2866	211	16	and	and	CCONJ
cana-2866	211	17	abnormal	abnormal	ADJ
cana-2866	211	18	tissues	tissue	NOUN
cana-2866	211	19	.	.	PUNCT
cana-2866	212	1	the	the	DET
cana-2866	212	2	proposed	propose	VERB
cana-2866	212	3	k	k	NOUN
cana-2866	212	4	-	-	PUNCT
cana-2866	212	5	means	mean	VERB
cana-2866	212	6	algorithms	algorithms	NOUN
cana-2866	212	7	procedure	procedure	NOUN
cana-2866	212	8	is	be	AUX
cana-2866	212	9	described	describe	VERB
cana-2866	212	10	as	as	ADP
cana-2866	212	11	follows	follow	VERB
cana-2866	212	12	:	:	PUNCT
cana-2866	212	13	input	input	NOUN
cana-2866	212	14	:	:	PUNCT
cana-2866	212	15	preprocessed	preprocesse	VERB
cana-2866	212	16	mammogram	mammogram	NOUN
cana-2866	212	17	input	input	NOUN
cana-2866	212	18	images	image	NOUN
cana-2866	212	19	output	output	NOUN
cana-2866	212	20	:	:	PUNCT
cana-2866	212	21	segmented	segment	VERB
cana-2866	212	22	image	image	NOUN
cana-2866	212	23	begin	begin	VERB
cana-2866	212	24	step1	step1	PROPN
cana-2866	212	25	initialize	initialize	VERB
cana-2866	212	26	the	the	DET
cana-2866	212	27	k	k	ADJ
cana-2866	212	28	number	number	NOUN
cana-2866	212	29	of	of	ADP
cana-2866	212	30	clusters	cluster	NOUN
cana-2866	212	31	in	in	ADP
cana-2866	212	32	the	the	DET
cana-2866	212	33	given	give	VERB
cana-2866	212	34	data	datum	NOUN
cana-2866	212	35	.	.	PUNCT
cana-2866	213	1	(	(	PUNCT
cana-2866	213	2	k=3	k=3	PROPN
cana-2866	213	3	)	)	PUNCT
cana-2866	213	4	.	.	PUNCT
cana-2866	214	1	step2	step2	PROPN
cana-2866	214	2	select	select	VERB
cana-2866	214	3	the	the	DET
cana-2866	214	4	data	data	NOUN
cana-2866	214	5	points	point	NOUN
cana-2866	214	6	randomly	randomly	ADV
cana-2866	214	7	and	and	CCONJ
cana-2866	214	8	assign	assign	VERB
cana-2866	214	9	each	each	PRON
cana-2866	214	10	to	to	ADP
cana-2866	214	11	a	a	DET
cana-2866	214	12	cluster	cluster	NOUN
cana-2866	214	13	.	.	PUNCT
cana-2866	215	1	step3	step3	PROPN
cana-2866	215	2	compute	compute	PROPN
cana-2866	215	3	cluster	cluster	NOUN
cana-2866	215	4	centroids	centroid	NOUN
cana-2866	215	5	are	be	AUX
cana-2866	215	6	calculated	calculate	VERB
cana-2866	215	7	step4	step4	PROPN
cana-2866	215	8	repeat	repeat	VERB
cana-2866	215	9	the	the	DET
cana-2866	215	10	steps	step	NOUN
cana-2866	215	11	until	until	SCONJ
cana-2866	215	12	an	an	DET
cana-2866	215	13	optimal	optimal	ADJ
cana-2866	215	14	centroid	centroid	NOUN
cana-2866	215	15	is	be	AUX
cana-2866	215	16	found	find	VERB
cana-2866	215	17	which	which	PRON
cana-2866	215	18	remain	remain	VERB
cana-2866	215	19	unchanged	unchanged	ADJ
cana-2866	215	20	4.1	4.1	NUM
cana-2866	215	21	–	–	PUNCT
cana-2866	215	22	the	the	DET
cana-2866	215	23	distance	distance	NOUN
cana-2866	215	24	between	between	ADP
cana-2866	215	25	data	datum	NOUN
cana-2866	215	26	and	and	CCONJ
cana-2866	215	27	centroid	centroid	NOUN
cana-2866	215	28	with	with	ADP
cana-2866	215	29	a	a	DET
cana-2866	215	30	minimal	minimal	ADJ
cana-2866	215	31	distance	distance	NOUN
cana-2866	215	32	is	be	AUX
cana-2866	215	33	assigned	assign	VERB
cana-2866	215	34	to	to	ADP
cana-2866	215	35	nearest	near	ADJ
cana-2866	215	36	cluster	cluster	NOUN
cana-2866	215	37	centroid	centroid	NOUN
cana-2866	215	38	using	use	VERB
cana-2866	215	39	equation	equation	NOUN
cana-2866	215	40	(	(	PUNCT
cana-2866	215	41	10	10	NUM
cana-2866	215	42	)	)	PUNCT
cana-2866	215	43	4.2	4.2	NUM
cana-2866	215	44	−	−	NOUN
cana-2866	215	45	at	at	ADP
cana-2866	215	46	last	last	ADJ
cana-2866	215	47	compute	compute	NOUN
cana-2866	215	48	the	the	DET
cana-2866	215	49	centroids	centroid	NOUN
cana-2866	215	50	for	for	ADP
cana-2866	215	51	the	the	DET
cana-2866	215	52	clusters	cluster	NOUN
cana-2866	215	53	by	by	ADP
cana-2866	215	54	taking	take	VERB
cana-2866	215	55	the	the	DET
cana-2866	215	56	average	average	NOUN
cana-2866	215	57	of	of	ADP
cana-2866	215	58	all	all	DET
cana-2866	215	59	data	datum	NOUN
cana-2866	215	60	points	point	NOUN
cana-2866	215	61	of	of	ADP
cana-2866	215	62	that	that	DET
cana-2866	215	63	cluster	cluster	NOUN
cana-2866	215	64	.	.	PUNCT
cana-2866	216	1	𝐷	𝐷	NOUN
cana-2866	216	2	=	=	PUNCT
cana-2866	216	3	√(𝑚2	√(𝑚2	PROPN
cana-2866	216	4	−	−	PROPN
cana-2866	216	5	𝑚1	𝑚1	NOUN
cana-2866	216	6	)	)	PUNCT
cana-2866	216	7	2	2	NUM
cana-2866	217	1	+	+	CCONJ
cana-2866	217	2	(	(	PUNCT
cana-2866	217	3	𝑛2	𝑛2	NOUN
cana-2866	217	4	−	−	PROPN
cana-2866	217	5	𝑛1	𝑛1	PROPN
cana-2866	217	6	)	)	PUNCT
cana-2866	217	7	2	2	NUM
cana-2866	217	8	(	(	PUNCT
cana-2866	217	9	10	10	NUM
cana-2866	217	10	)	)	PUNCT
cana-2866	217	11	where	where	SCONJ
cana-2866	217	12	d	d	NOUN
cana-2866	217	13	is	be	AUX
cana-2866	217	14	the	the	DET
cana-2866	217	15	distance	distance	NOUN
cana-2866	217	16	.	.	PUNCT
cana-2866	218	1	𝑚1	𝑚1	PROPN
cana-2866	218	2	,	,	PUNCT
cana-2866	218	3	𝑚2	𝑚2	NOUN
cana-2866	218	4	,	,	PUNCT
cana-2866	218	5	𝑛1	𝑛1	NOUN
cana-2866	218	6	,	,	PUNCT
cana-2866	218	7	𝑛2	𝑛2	NOUN
cana-2866	218	8	are	be	AUX
cana-2866	218	9	coordinates	coordinate	NOUN
cana-2866	218	10	.	.	PUNCT
cana-2866	219	1	4.3	4.3	NUM
cana-2866	219	2	at	at	ADP
cana-2866	219	3	final	final	ADJ
cana-2866	219	4	step	step	NOUN
cana-2866	219	5	centroids	centroid	NOUN
cana-2866	219	6	are	be	AUX
cana-2866	219	7	calculated	calculate	VERB
cana-2866	219	8	by	by	ADP
cana-2866	219	9	taking	take	VERB
cana-2866	219	10	the	the	DET
cana-2866	219	11	average	average	NOUN
cana-2866	219	12	of	of	ADP
cana-2866	219	13	all	all	DET
cana-2866	219	14	data	datum	NOUN
cana-2866	219	15	points	point	NOUN
cana-2866	219	16	of	of	ADP
cana-2866	219	17	that	that	DET
cana-2866	219	18	cluster	cluster	NOUN
cana-2866	219	19	.	.	PUNCT
cana-2866	220	1	the	the	DET
cana-2866	220	2	figure	figure	NOUN
cana-2866	220	3	6	6	NUM
cana-2866	220	4	.	.	PUNCT
cana-2866	220	5	shows	show	VERB
cana-2866	220	6	images	image	NOUN
cana-2866	220	7	after	after	ADP
cana-2866	220	8	segmenting	segment	VERB
cana-2866	220	9	using	use	VERB
cana-2866	220	10	k	k	ADJ
cana-2866	220	11	-	-	PUNCT
cana-2866	220	12	means	mean	VERB
cana-2866	220	13	clustering	clustering	ADJ
cana-2866	220	14	algorithm	algorithm	NOUN
cana-2866	220	15	.	.	PUNCT
cana-2866	221	1	fig	fig	NOUN
cana-2866	221	2	6	6	NUM
cana-2866	221	3	:	:	PUNCT
cana-2866	221	4	segmented	segment	VERB
cana-2866	221	5	images	image	NOUN
cana-2866	221	6	using	use	VERB
cana-2866	221	7	k	k	ADJ
cana-2866	221	8	-	-	PUNCT
cana-2866	221	9	means	mean	VERB
cana-2866	221	10	communications	communication	NOUN
cana-2866	221	11	on	on	ADP
cana-2866	221	12	applied	apply	VERB
cana-2866	221	13	nonlinear	nonlinear	ADJ
cana-2866	221	14	analysis	analysis	NOUN
cana-2866	221	15	issn	issn	NOUN
cana-2866	221	16	:	:	PUNCT
cana-2866	221	17	1074	1074	NUM
cana-2866	221	18	-	-	PUNCT
cana-2866	221	19	133x	133x	NUM
cana-2866	221	20	vol	vol	NOUN
cana-2866	221	21	32	32	NUM
cana-2866	222	1	no	no	NOUN
cana-2866	222	2	.	.	PUNCT
cana-2866	223	1	4s	4s	NUM
cana-2866	223	2	(	(	PUNCT
cana-2866	223	3	2025	2025	NUM
cana-2866	223	4	)	)	PUNCT
cana-2866	223	5	489	489	NUM
cana-2866	224	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-2866	224	2	h.	h.	NOUN
cana-2866	224	3	image	image	NOUN
cana-2866	224	4	feature	feature	NOUN
cana-2866	224	5	extraction	extraction	NOUN
cana-2866	224	6	and	and	CCONJ
cana-2866	224	7	classification	classification	NOUN
cana-2866	224	8	technique	technique	NOUN
cana-2866	224	9	feature	feature	NOUN
cana-2866	224	10	extraction	extraction	NOUN
cana-2866	224	11	is	be	AUX
cana-2866	224	12	done	do	VERB
cana-2866	224	13	automatically	automatically	ADV
cana-2866	224	14	in	in	ADP
cana-2866	224	15	cnn	cnn	PROPN
cana-2866	224	16	.	.	PUNCT
cana-2866	225	1	however	however	ADV
cana-2866	225	2	,	,	PUNCT
cana-2866	225	3	to	to	PART
cana-2866	225	4	shorten	shorten	VERB
cana-2866	225	5	the	the	DET
cana-2866	225	6	feature	feature	NOUN
cana-2866	225	7	learning	learn	VERB
cana-2866	225	8	process	process	NOUN
cana-2866	225	9	in	in	ADP
cana-2866	225	10	this	this	DET
cana-2866	225	11	research	research	NOUN
cana-2866	225	12	we	we	PRON
cana-2866	225	13	have	have	AUX
cana-2866	225	14	used	use	VERB
cana-2866	225	15	a	a	DET
cana-2866	225	16	simple	simple	ADJ
cana-2866	225	17	cnn	cnn	NOUN
cana-2866	225	18	with	with	ADP
cana-2866	225	19	adequate	adequate	ADJ
cana-2866	225	20	layers	layer	NOUN
cana-2866	225	21	and	and	CCONJ
cana-2866	225	22	good	good	ADJ
cana-2866	225	23	kernels	kernel	NOUN
cana-2866	225	24	to	to	PART
cana-2866	225	25	accelerate	accelerate	VERB
cana-2866	225	26	convolution	convolution	NOUN
cana-2866	225	27	computation	computation	NOUN
cana-2866	225	28	.	.	PUNCT
cana-2866	226	1	unlike	unlike	ADP
cana-2866	226	2	neural	neural	ADJ
cana-2866	226	3	networks	network	NOUN
cana-2866	226	4	,	,	PUNCT
cana-2866	226	5	cnn	cnn	PROPN
cana-2866	226	6	is	be	AUX
cana-2866	226	7	not	not	PART
cana-2866	226	8	only	only	ADV
cana-2866	226	9	used	use	VERB
cana-2866	226	10	for	for	ADP
cana-2866	226	11	recognizing	recognize	VERB
cana-2866	226	12	and	and	CCONJ
cana-2866	226	13	detecting	detect	VERB
cana-2866	226	14	objects	object	NOUN
cana-2866	226	15	in	in	ADP
cana-2866	226	16	image	image	NOUN
cana-2866	226	17	input	input	NOUN
cana-2866	226	18	data	datum	NOUN
cana-2866	226	19	,	,	PUNCT
cana-2866	226	20	consisting	consist	VERB
cana-2866	226	21	of	of	ADP
cana-2866	226	22	weight	weight	NOUN
cana-2866	226	23	,	,	PUNCT
cana-2866	226	24	bias	bias	NOUN
cana-2866	226	25	,	,	PUNCT
cana-2866	226	26	and	and	CCONJ
cana-2866	226	27	the	the	DET
cana-2866	226	28	activation	activation	NOUN
cana-2866	226	29	function	function	VERB
cana-2866	226	30	when	when	SCONJ
cana-2866	226	31	processing	processing	NOUN
cana-2866	226	32	inputs	input	NOUN
cana-2866	226	33	but	but	CCONJ
cana-2866	226	34	also	also	ADV
cana-2866	226	35	enable	enable	VERB
cana-2866	226	36	feature	feature	NOUN
cana-2866	226	37	extraction	extraction	NOUN
cana-2866	226	38	to	to	PART
cana-2866	226	39	learn	learn	VERB
cana-2866	226	40	patterns	pattern	NOUN
cana-2866	226	41	from	from	ADP
cana-2866	226	42	high	high	ADJ
cana-2866	226	43	-	-	PUNCT
cana-2866	226	44	dimensional	dimensional	ADJ
cana-2866	226	45	inputs	input	NOUN
cana-2866	226	46	.	.	PUNCT
cana-2866	227	1	this	this	DET
cana-2866	227	2	process	process	NOUN
cana-2866	227	3	is	be	AUX
cana-2866	227	4	termed	term	VERB
cana-2866	227	5	convolution	convolution	NOUN
cana-2866	227	6	and	and	CCONJ
cana-2866	227	7	is	be	AUX
cana-2866	227	8	executed	execute	VERB
cana-2866	227	9	in	in	ADP
cana-2866	227	10	a	a	DET
cana-2866	227	11	convolutional	convolutional	ADJ
cana-2866	227	12	layer	layer	NOUN
cana-2866	227	13	(	(	PUNCT
cana-2866	227	14	feature	feature	NOUN
cana-2866	227	15	extraction	extraction	NOUN
cana-2866	227	16	layer	layer	NOUN
cana-2866	227	17	)	)	PUNCT
cana-2866	227	18	.	.	PUNCT
cana-2866	228	1	as	as	SCONJ
cana-2866	228	2	shown	show	VERB
cana-2866	228	3	in	in	ADP
cana-2866	228	4	figure	figure	NOUN
cana-2866	228	5	7	7	NUM
cana-2866	228	6	,	,	PUNCT
cana-2866	228	7	cnn	cnn	PROPN
cana-2866	228	8	has	have	VERB
cana-2866	228	9	two	two	NUM
cana-2866	228	10	major	major	ADJ
cana-2866	228	11	layers	layer	NOUN
cana-2866	228	12	:	:	PUNCT
cana-2866	228	13	feature	feature	NOUN
cana-2866	228	14	extraction	extraction	NOUN
cana-2866	228	15	and	and	CCONJ
cana-2866	228	16	fully	fully	ADV
cana-2866	228	17	connected	connect	VERB
cana-2866	228	18	.	.	PUNCT
cana-2866	229	1	this	this	DET
cana-2866	229	2	section	section	NOUN
cana-2866	229	3	describes	describe	VERB
cana-2866	229	4	the	the	DET
cana-2866	229	5	structure	structure	NOUN
cana-2866	229	6	of	of	ADP
cana-2866	229	7	the	the	DET
cana-2866	229	8	proposed	propose	VERB
cana-2866	229	9	cnn	cnn	PROPN
cana-2866	229	10	(	(	PUNCT
cana-2866	229	11	figure	figure	NOUN
cana-2866	229	12	4	4	NUM
cana-2866	229	13	)	)	PUNCT
cana-2866	229	14	.	.	PUNCT
cana-2866	230	1	the	the	DET
cana-2866	230	2	convolutional	convolutional	ADJ
cana-2866	230	3	neural	neural	ADJ
cana-2866	230	4	network	network	NOUN
cana-2866	230	5	classifies	classify	VERB
cana-2866	230	6	an	an	DET
cana-2866	230	7	input	input	NOUN
cana-2866	230	8	image	image	NOUN
cana-2866	230	9	into	into	ADP
cana-2866	230	10	categories	category	NOUN
cana-2866	230	11	:	:	PUNCT
cana-2866	230	12	benign	benign	ADJ
cana-2866	230	13	,	,	PUNCT
cana-2866	230	14	malignant	malignant	ADJ
cana-2866	230	15	and	and	CCONJ
cana-2866	230	16	normal	normal	ADJ
cana-2866	230	17	.	.	PUNCT
cana-2866	231	1	the	the	DET
cana-2866	231	2	details	detail	NOUN
cana-2866	231	3	of	of	ADP
cana-2866	231	4	the	the	DET
cana-2866	231	5	modified	modified	ADJ
cana-2866	231	6	cnn	cnn	PROPN
cana-2866	231	7	are	be	AUX
cana-2866	231	8	described	describe	VERB
cana-2866	231	9	below	below	ADP
cana-2866	231	10	:	:	PUNCT
cana-2866	231	11	input_shape	input_shape	PROPN
cana-2866	231	12	=	=	SYM
cana-2866	231	13	(	(	PUNCT
cana-2866	231	14	100,100,3	100,100,3	NUM
cana-2866	231	15	)	)	PUNCT
cana-2866	231	16	conv2d	conv2d	NOUN
cana-2866	231	17	(	(	PUNCT
cana-2866	231	18	128	128	NUM
cana-2866	231	19	,	,	PUNCT
cana-2866	231	20	kernel_size=	kernel_size=	X
cana-2866	231	21	(	(	PUNCT
cana-2866	231	22	5,5	5,5	NUM
cana-2866	231	23	)	)	PUNCT
cana-2866	231	24	,	,	PUNCT
cana-2866	231	25	activation	activation	NOUN
cana-2866	231	26	=	=	NOUN
cana-2866	231	27	relu	relu	NOUN
cana-2866	231	28	,	,	PUNCT
cana-2866	231	29	pool_size	pool_size	NOUN
cana-2866	231	30	=	=	SYM
cana-2866	231	31	(	(	PUNCT
cana-2866	231	32	2,2	2,2	NUM
cana-2866	231	33	)	)	PUNCT
cana-2866	231	34	,	,	PUNCT
cana-2866	231	35	padding=’same	padding=’same	X
cana-2866	231	36	’	'	PUNCT
cana-2866	231	37	,	,	PUNCT
cana-2866	231	38	batch	batch	VERB
cana-2866	231	39	normalization	normalization	NOUN
cana-2866	231	40	(	(	PUNCT
cana-2866	231	41	)	)	PUNCT
cana-2866	231	42	)	)	PUNCT
cana-2866	232	1	conv2d	conv2d	VERB
cana-2866	232	2	(	(	PUNCT
cana-2866	232	3	64	64	NUM
cana-2866	232	4	,	,	PUNCT
cana-2866	232	5	kernel_size=	kernel_size=	X
cana-2866	232	6	(	(	PUNCT
cana-2866	232	7	3,3	3,3	NUM
cana-2866	232	8	)	)	PUNCT
cana-2866	232	9	,	,	PUNCT
cana-2866	232	10	activation	activation	NOUN
cana-2866	232	11	=	=	NOUN
cana-2866	232	12	relu	relu	NOUN
cana-2866	232	13	,	,	PUNCT
cana-2866	232	14	pool_size	pool_size	NOUN
cana-2866	232	15	=	=	SYM
cana-2866	232	16	(	(	PUNCT
cana-2866	232	17	2,2	2,2	NUM
cana-2866	232	18	)	)	PUNCT
cana-2866	232	19	,	,	PUNCT
cana-2866	232	20	padding=’same	padding=’same	X
cana-2866	232	21	’	'	PUNCT
cana-2866	232	22	,	,	PUNCT
cana-2866	232	23	batch	batch	VERB
cana-2866	232	24	normalization	normalization	NOUN
cana-2866	232	25	(	(	PUNCT
cana-2866	232	26	)	)	PUNCT
cana-2866	232	27	)	)	PUNCT
cana-2866	233	1	conv2d	conv2d	VERB
cana-2866	233	2	(	(	PUNCT
cana-2866	233	3	32	32	NUM
cana-2866	233	4	,	,	PUNCT
cana-2866	233	5	kernel_size=	kernel_size=	X
cana-2866	233	6	(	(	PUNCT
cana-2866	233	7	3,3	3,3	NUM
cana-2866	233	8	)	)	PUNCT
cana-2866	233	9	,	,	PUNCT
cana-2866	233	10	activation	activation	NOUN
cana-2866	233	11	=	=	NOUN
cana-2866	233	12	relu	relu	NOUN
cana-2866	233	13	,	,	PUNCT
cana-2866	233	14	pool_size	pool_size	NOUN
cana-2866	233	15	=	=	SYM
cana-2866	233	16	(	(	PUNCT
cana-2866	233	17	2,2	2,2	NUM
cana-2866	233	18	)	)	PUNCT
cana-2866	233	19	,	,	PUNCT
cana-2866	233	20	padding=’same	padding=’same	X
cana-2866	233	21	’	'	PUNCT
cana-2866	233	22	,	,	PUNCT
cana-2866	233	23	batch	batch	VERB
cana-2866	233	24	normalization	normalization	NOUN
cana-2866	233	25	(	(	PUNCT
cana-2866	233	26	)	)	PUNCT
cana-2866	233	27	)	)	PUNCT
cana-2866	233	28	flatten	flatten	VERB
cana-2866	233	29	(	(	PUNCT
cana-2866	233	30	)	)	PUNCT
cana-2866	233	31	dense	dense	ADJ
cana-2866	233	32	(	(	PUNCT
cana-2866	233	33	units=256	units=256	ADJ
cana-2866	233	34	,	,	PUNCT
cana-2866	233	35	activation	activation	NOUN
cana-2866	233	36	=	=	NOUN
cana-2866	233	37	”	"	PUNCT
cana-2866	233	38	relu	relu	NOUN
cana-2866	233	39	”	"	PUNCT
cana-2866	233	40	)	)	PUNCT
cana-2866	233	41	dropout	dropout	NOUN
cana-2866	233	42	(	(	PUNCT
cana-2866	233	43	0.5	0.5	NUM
cana-2866	233	44	)	)	PUNCT
cana-2866	233	45	dense	dense	ADJ
cana-2866	233	46	(	(	PUNCT
cana-2866	233	47	units=3	units=3	INTJ
cana-2866	233	48	,	,	PUNCT
cana-2866	233	49	activation	activation	NOUN
cana-2866	233	50	=	=	SYM
cana-2866	233	51	“	"	PUNCT
cana-2866	233	52	softmax	softmax	NOUN
cana-2866	233	53	”	"	PUNCT
cana-2866	233	54	)	)	PUNCT
cana-2866	233	55	fig	fig	NOUN
cana-2866	233	56	:	:	PUNCT
cana-2866	233	57	7	7	NUM
cana-2866	233	58	the	the	DET
cana-2866	233	59	block	block	NOUN
cana-2866	233	60	diagram	diagram	NOUN
cana-2866	233	61	of	of	ADP
cana-2866	233	62	the	the	DET
cana-2866	233	63	modified	modify	VERB
cana-2866	233	64	convolutional	convolutional	ADJ
cana-2866	233	65	neural	neural	ADJ
cana-2866	233	66	network	network	NOUN
cana-2866	233	67	(	(	PUNCT
cana-2866	233	68	cnn	cnn	PROPN
cana-2866	233	69	)	)	PUNCT
cana-2866	233	70	.	.	PUNCT
cana-2866	234	1	convolution	convolution	NOUN
cana-2866	234	2	layer	layer	NOUN
cana-2866	234	3	,	,	PUNCT
cana-2866	234	4	rectified	rectify	VERB
cana-2866	234	5	linear	linear	ADJ
cana-2866	234	6	activation	activation	NOUN
cana-2866	234	7	function	function	NOUN
cana-2866	234	8	(	(	PUNCT
cana-2866	234	9	relu	relu	NOUN
cana-2866	234	10	)	)	PUNCT
cana-2866	234	11	layer	layer	NOUN
cana-2866	234	12	,	,	PUNCT
cana-2866	234	13	max	max	PROPN
cana-2866	234	14	pooling	pooling	NOUN
cana-2866	234	15	layer	layer	NOUN
cana-2866	234	16	,	,	PUNCT
cana-2866	234	17	fully	fully	ADV
cana-2866	234	18	connected	connected	ADJ
cana-2866	234	19	layer	layer	NOUN
cana-2866	234	20	,	,	PUNCT
cana-2866	234	21	and	and	CCONJ
cana-2866	234	22	dropout	dropout	NOUN
cana-2866	234	23	layer	layer	NOUN
cana-2866	234	24	are	be	AUX
cana-2866	234	25	the	the	DET
cana-2866	234	26	five	five	NUM
cana-2866	234	27	parts	part	NOUN
cana-2866	234	28	of	of	ADP
cana-2866	234	29	a	a	DET
cana-2866	234	30	cnn	cnn	PROPN
cana-2866	234	31	model	model	NOUN
cana-2866	234	32	.	.	PUNCT
cana-2866	235	1	the	the	DET
cana-2866	235	2	cnn	cnn	PROPN
cana-2866	235	3	consists	consist	VERB
cana-2866	235	4	of	of	ADP
cana-2866	235	5	trainable	trainable	ADJ
cana-2866	235	6	filters	filter	NOUN
cana-2866	235	7	and	and	CCONJ
cana-2866	235	8	updates	update	VERB
cana-2866	235	9	its	its	PRON
cana-2866	235	10	parameters	parameter	NOUN
cana-2866	235	11	at	at	ADP
cana-2866	235	12	each	each	DET
cana-2866	235	13	iteration	iteration	NOUN
cana-2866	235	14	.	.	PUNCT
cana-2866	236	1	relu	relu	NOUN
cana-2866	236	2	layer	layer	NOUN
cana-2866	236	3	is	be	AUX
cana-2866	236	4	the	the	DET
cana-2866	236	5	most	most	ADV
cana-2866	236	6	preferred	preferred	ADJ
cana-2866	236	7	layer	layer	NOUN
cana-2866	236	8	in	in	ADP
cana-2866	236	9	cnn	cnn	PROPN
cana-2866	236	10	architectures	architecture	NOUN
cana-2866	236	11	as	as	SCONJ
cana-2866	236	12	it	it	PRON
cana-2866	236	13	speeds	speed	VERB
cana-2866	236	14	up	up	ADP
cana-2866	236	15	the	the	DET
cana-2866	236	16	training	training	NOUN
cana-2866	236	17	process	process	NOUN
cana-2866	236	18	.	.	PUNCT
cana-2866	237	1	max	max	PROPN
cana-2866	237	2	pooling	pooling	NOUN
cana-2866	237	3	layer	layer	NOUN
cana-2866	237	4	is	be	AUX
cana-2866	237	5	used	use	VERB
cana-2866	237	6	to	to	PART
cana-2866	237	7	reduce	reduce	VERB
cana-2866	237	8	parameter	parameter	NOUN
cana-2866	237	9	size	size	NOUN
cana-2866	237	10	and	and	CCONJ
cana-2866	237	11	control	control	NOUN
cana-2866	237	12	overfitting	overfitting	NOUN
cana-2866	237	13	.	.	PUNCT
cana-2866	238	1	neurons	neuron	NOUN
cana-2866	238	2	in	in	ADP
cana-2866	238	3	fully	fully	ADV
cana-2866	238	4	connected	connect	VERB
cana-2866	238	5	layer	layer	NOUN
cana-2866	238	6	are	be	AUX
cana-2866	238	7	a	a	DET
cana-2866	238	8	regular	regular	ADJ
cana-2866	238	9	neural	neural	ADJ
cana-2866	238	10	network	network	NOUN
cana-2866	238	11	.	.	PUNCT
cana-2866	239	1	dropout	dropout	NOUN
cana-2866	239	2	layer	layer	NOUN
cana-2866	239	3	is	be	AUX
cana-2866	239	4	used	use	VERB
cana-2866	239	5	to	to	PART
cana-2866	239	6	prevent	prevent	VERB
cana-2866	239	7	overfitting	overfitting	NOUN
cana-2866	239	8	.	.	PUNCT
cana-2866	240	1	the	the	DET
cana-2866	240	2	step	step	NOUN
cana-2866	240	3	-	-	PUNCT
cana-2866	240	4	by	by	ADP
cana-2866	240	5	-	-	PUNCT
cana-2866	240	6	step	step	NOUN
cana-2866	240	7	process	process	NOUN
cana-2866	240	8	of	of	ADP
cana-2866	240	9	the	the	DET
cana-2866	240	10	proposed	propose	VERB
cana-2866	240	11	work	work	NOUN
cana-2866	240	12	is	be	AUX
cana-2866	240	13	described	describe	VERB
cana-2866	240	14	below	below	ADP
cana-2866	240	15	:	:	PUNCT
cana-2866	240	16	communications	communication	NOUN
cana-2866	240	17	on	on	ADP
cana-2866	240	18	applied	apply	VERB
cana-2866	240	19	nonlinear	nonlinear	ADJ
cana-2866	240	20	analysis	analysis	NOUN
cana-2866	240	21	issn	issn	NOUN
cana-2866	240	22	:	:	PUNCT
cana-2866	240	23	1074	1074	NUM
cana-2866	240	24	-	-	PUNCT
cana-2866	240	25	133x	133x	NUM
cana-2866	240	26	vol	vol	NOUN
cana-2866	240	27	32	32	NUM
cana-2866	240	28	no	no	NOUN
cana-2866	240	29	.	.	PUNCT
cana-2866	241	1	4s	4s	NUM
cana-2866	241	2	(	(	PUNCT
cana-2866	241	3	2025	2025	NUM
cana-2866	241	4	)	)	PUNCT
cana-2866	241	5	490	490	NUM
cana-2866	241	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2866	241	7	1	1	X
cana-2866	241	8	.	.	PUNCT
cana-2866	241	9	input	input	NOUN
cana-2866	241	10	images	image	NOUN
cana-2866	241	11	are	be	AUX
cana-2866	241	12	transformed	transform	VERB
cana-2866	241	13	into	into	ADP
cana-2866	241	14	vectors	vector	NOUN
cana-2866	241	15	.	.	PUNCT
cana-2866	242	1	2	2	X
cana-2866	242	2	.	.	X
cana-2866	242	3	the	the	DET
cana-2866	242	4	next	next	ADJ
cana-2866	242	5	layer	layer	NOUN
cana-2866	242	6	is	be	AUX
cana-2866	242	7	conv	conv	ADJ
cana-2866	242	8	2d	2d	PROPN
cana-2866	242	9	layer	layer	NOUN
cana-2866	242	10	.	.	PUNCT
cana-2866	243	1	it	it	PRON
cana-2866	243	2	consists	consist	VERB
cana-2866	243	3	of	of	ADP
cana-2866	243	4	128	128	NUM
cana-2866	243	5	feature	feature	NOUN
cana-2866	243	6	maps	map	NOUN
cana-2866	243	7	with	with	ADP
cana-2866	243	8	5	5	NUM
cana-2866	243	9	x	x	SYM
cana-2866	243	10	5	5	NUM
cana-2866	243	11	kernel	kernel	NOUN
cana-2866	243	12	dimension	dimension	NOUN
cana-2866	243	13	.	.	PUNCT
cana-2866	244	1	this	this	DET
cana-2866	244	2	layer	layer	NOUN
cana-2866	244	3	creates	create	VERB
cana-2866	244	4	a	a	DET
cana-2866	244	5	feature	feature	NOUN
cana-2866	244	6	map	map	NOUN
cana-2866	244	7	to	to	PART
cana-2866	244	8	predict	predict	VERB
cana-2866	244	9	the	the	DET
cana-2866	244	10	class	class	NOUN
cana-2866	244	11	probabilities	probability	NOUN
cana-2866	244	12	for	for	ADP
cana-2866	244	13	each	each	DET
cana-2866	244	14	feature	feature	NOUN
cana-2866	244	15	by	by	ADP
cana-2866	244	16	applying	apply	VERB
cana-2866	244	17	a	a	DET
cana-2866	244	18	filter(kernel	filter(kernel	PROPN
cana-2866	244	19	)	)	PUNCT
cana-2866	244	20	.	.	PUNCT
cana-2866	245	1	the	the	DET
cana-2866	245	2	activation	activation	NOUN
cana-2866	245	3	function	function	NOUN
cana-2866	245	4	uses	use	VERB
cana-2866	245	5	the	the	DET
cana-2866	245	6	rectified	rectified	ADJ
cana-2866	245	7	linear	linear	NOUN
cana-2866	245	8	unit	unit	NOUN
cana-2866	245	9	.	.	PUNCT
cana-2866	246	1	3	3	X
cana-2866	246	2	.	.	X
cana-2866	246	3	the	the	DET
cana-2866	246	4	proposed	propose	VERB
cana-2866	246	5	work	work	NOUN
cana-2866	246	6	used	use	VERB
cana-2866	246	7	,	,	PUNCT
cana-2866	246	8	max	max	PROPN
cana-2866	246	9	pooling	pooling	NOUN
cana-2866	246	10	layer	layer	NOUN
cana-2866	246	11	with	with	ADP
cana-2866	246	12	a	a	DET
cana-2866	246	13	size	size	NOUN
cana-2866	246	14	of	of	ADP
cana-2866	246	15	2	2	NUM
cana-2866	246	16	x2	x2	NOUN
cana-2866	246	17	was	be	AUX
cana-2866	246	18	used	use	VERB
cana-2866	246	19	.	.	PUNCT
cana-2866	247	1	these	these	DET
cana-2866	247	2	layers	layer	NOUN
cana-2866	247	3	are	be	AUX
cana-2866	247	4	inserted	insert	VERB
cana-2866	247	5	between	between	ADP
cana-2866	247	6	the	the	DET
cana-2866	247	7	individual	individual	ADJ
cana-2866	247	8	convolution	convolution	NOUN
cana-2866	247	9	layers	layer	NOUN
cana-2866	247	10	to	to	PART
cana-2866	247	11	reduce	reduce	VERB
cana-2866	247	12	the	the	DET
cana-2866	247	13	computation	computation	NOUN
cana-2866	247	14	time	time	NOUN
cana-2866	247	15	.	.	PUNCT
cana-2866	248	1	4	4	X
cana-2866	248	2	.	.	X
cana-2866	248	3	this	this	DET
cana-2866	248	4	block	block	NOUN
cana-2866	248	5	uses	use	VERB
cana-2866	248	6	the	the	DET
cana-2866	248	7	conv2d	conv2d	NOUN
cana-2866	248	8	with	with	ADP
cana-2866	248	9	the	the	DET
cana-2866	248	10	same	same	ADJ
cana-2866	248	11	parameters	parameter	NOUN
cana-2866	248	12	as	as	ADP
cana-2866	248	13	in	in	ADP
cana-2866	248	14	step	step	NOUN
cana-2866	248	15	2	2	NUM
cana-2866	248	16	,	,	PUNCT
cana-2866	248	17	but	but	CCONJ
cana-2866	248	18	the	the	DET
cana-2866	248	19	number	number	NOUN
cana-2866	248	20	of	of	ADP
cana-2866	248	21	feature	feature	NOUN
cana-2866	248	22	maps	map	NOUN
cana-2866	248	23	used	use	VERB
cana-2866	248	24	are	be	AUX
cana-2866	248	25	64	64	NUM
cana-2866	248	26	.	.	PUNCT
cana-2866	249	1	5	5	NUM
cana-2866	249	2	.	.	PUNCT
cana-2866	249	3	the	the	DET
cana-2866	249	4	max	max	PROPN
cana-2866	249	5	pooling	pool	VERB
cana-2866	249	6	layer	layer	NOUN
cana-2866	249	7	with	with	ADP
cana-2866	249	8	a	a	DET
cana-2866	249	9	size	size	NOUN
cana-2866	249	10	of	of	ADP
cana-2866	249	11	2x	2x	NUM
cana-2866	249	12	2	2	NUM
cana-2866	249	13	was	be	AUX
cana-2866	249	14	used	use	VERB
cana-2866	249	15	.	.	PUNCT
cana-2866	250	1	the	the	DET
cana-2866	250	2	output	output	NOUN
cana-2866	250	3	from	from	ADP
cana-2866	250	4	the	the	DET
cana-2866	250	5	feature	feature	NOUN
cana-2866	250	6	map	map	NOUN
cana-2866	250	7	of	of	ADP
cana-2866	250	8	the	the	DET
cana-2866	250	9	last	last	ADJ
cana-2866	250	10	convolution	convolution	NOUN
cana-2866	250	11	layer	layer	NOUN
cana-2866	250	12	or	or	CCONJ
cana-2866	250	13	subsampling	subsample	VERB
cana-2866	250	14	layer	layer	NOUN
cana-2866	250	15	(	(	PUNCT
cana-2866	250	16	max	max	NOUN
cana-2866	250	17	pooling	pooling	NOUN
cana-2866	250	18	layer	layer	NOUN
cana-2866	250	19	)	)	PUNCT
cana-2866	250	20	is	be	AUX
cana-2866	250	21	transformed	transform	VERB
cana-2866	250	22	into	into	ADP
cana-2866	250	23	a	a	DET
cana-2866	250	24	one	one	NUM
cana-2866	250	25	-	-	PUNCT
cana-2866	250	26	dimensional	dimensional	ADJ
cana-2866	250	27	vector	vector	NOUN
cana-2866	250	28	.	.	PUNCT
cana-2866	251	1	6	6	NUM
cana-2866	251	2	.	.	X
cana-2866	251	3	in	in	ADP
cana-2866	251	4	the	the	DET
cana-2866	251	5	block6	block6	NOUN
cana-2866	251	6	,	,	PUNCT
cana-2866	251	7	the	the	DET
cana-2866	251	8	conv2d	conv2d	PROPN
cana-2866	251	9	with	with	ADP
cana-2866	251	10	same	same	ADJ
cana-2866	251	11	32	32	NUM
cana-2866	251	12	parameters	parameter	NOUN
cana-2866	251	13	are	be	AUX
cana-2866	251	14	used	use	VERB
cana-2866	251	15	.	.	PUNCT
cana-2866	252	1	7	7	X
cana-2866	252	2	.	.	X
cana-2866	252	3	in	in	ADP
cana-2866	252	4	this	this	DET
cana-2866	252	5	step	step	NOUN
cana-2866	252	6	,	,	PUNCT
cana-2866	252	7	dense	dense	ADJ
cana-2866	252	8	layer	layer	NOUN
cana-2866	252	9	with	with	ADP
cana-2866	252	10	non	non	ADJ
cana-2866	252	11	-	-	ADJ
cana-2866	252	12	linearity	linearity	ADJ
cana-2866	252	13	activation	activation	NOUN
cana-2866	252	14	function	function	NOUN
cana-2866	252	15	(	(	PUNCT
cana-2866	252	16	relu	relu	NOUN
cana-2866	252	17	)	)	PUNCT
cana-2866	252	18	was	be	AUX
cana-2866	252	19	used	use	VERB
cana-2866	252	20	.	.	PUNCT
cana-2866	253	1	8	8	X
cana-2866	253	2	.	.	X
cana-2866	254	1	in	in	ADP
cana-2866	254	2	this	this	DET
cana-2866	254	3	step	step	NOUN
cana-2866	254	4	,	,	PUNCT
cana-2866	254	5	the	the	DET
cana-2866	254	6	drop	drop	NOUN
cana-2866	254	7	out	out	ADP
cana-2866	254	8	layer	layer	NOUN
cana-2866	254	9	with	with	ADP
cana-2866	254	10	a	a	DET
cana-2866	254	11	probability	probability	NOUN
cana-2866	254	12	of	of	ADP
cana-2866	254	13	0.5	0.5	NUM
cana-2866	254	14	was	be	AUX
cana-2866	254	15	added	add	VERB
cana-2866	254	16	to	to	PART
cana-2866	254	17	prevent	prevent	VERB
cana-2866	254	18	over	over	ADP
cana-2866	254	19	training	training	NOUN
cana-2866	254	20	.	.	PUNCT
cana-2866	255	1	9	9	X
cana-2866	255	2	.	.	X
cana-2866	255	3	the	the	DET
cana-2866	255	4	last	last	ADJ
cana-2866	255	5	layer	layer	NOUN
cana-2866	255	6	is	be	AUX
cana-2866	255	7	the	the	DET
cana-2866	255	8	softmax	softmax	NOUN
cana-2866	255	9	function	function	NOUN
cana-2866	255	10	.	.	PUNCT
cana-2866	256	1	the	the	DET
cana-2866	256	2	goal	goal	NOUN
cana-2866	256	3	of	of	ADP
cana-2866	256	4	this	this	DET
cana-2866	256	5	layer	layer	NOUN
cana-2866	256	6	is	be	AUX
cana-2866	256	7	to	to	PART
cana-2866	256	8	normalize	normalize	VERB
cana-2866	256	9	the	the	DET
cana-2866	256	10	output	output	NOUN
cana-2866	256	11	of	of	ADP
cana-2866	256	12	individual	individual	ADJ
cana-2866	256	13	neurons	neuron	NOUN
cana-2866	256	14	to	to	PART
cana-2866	256	15	match	match	VERB
cana-2866	256	16	the	the	DET
cana-2866	256	17	obtained	obtain	VERB
cana-2866	256	18	probabilities	probability	NOUN
cana-2866	256	19	(	(	PUNCT
cana-2866	256	20	validation	validation	NOUN
cana-2866	256	21	of	of	ADP
cana-2866	256	22	the	the	DET
cana-2866	256	23	training	training	NOUN
cana-2866	256	24	progress	progress	NOUN
cana-2866	256	25	)	)	PUNCT
cana-2866	256	26	.	.	PUNCT
cana-2866	257	1	drop	drop	VERB
cana-2866	257	2	out	out	ADP
cana-2866	257	3	the	the	DET
cana-2866	257	4	issue	issue	NOUN
cana-2866	257	5	of	of	ADP
cana-2866	257	6	overfitting	overfitting	NOUN
cana-2866	257	7	is	be	AUX
cana-2866	257	8	frequently	frequently	ADV
cana-2866	257	9	seen	see	VERB
cana-2866	257	10	in	in	ADP
cana-2866	257	11	cnn	cnn	PROPN
cana-2866	257	12	training	training	NOUN
cana-2866	257	13	.	.	PUNCT
cana-2866	258	1	in	in	ADP
cana-2866	258	2	order	order	NOUN
cana-2866	258	3	to	to	PART
cana-2866	258	4	enhance	enhance	VERB
cana-2866	258	5	the	the	DET
cana-2866	258	6	performance	performance	NOUN
cana-2866	258	7	of	of	ADP
cana-2866	258	8	a	a	DET
cana-2866	258	9	neural	neural	ADJ
cana-2866	258	10	network	network	NOUN
cana-2866	258	11	,	,	PUNCT
cana-2866	258	12	overfitting	overfitte	VERB
cana-2866	258	13	can	can	AUX
cana-2866	258	14	be	be	AUX
cana-2866	258	15	avoided	avoid	VERB
cana-2866	258	16	by	by	ADP
cana-2866	258	17	minimizing	minimize	VERB
cana-2866	258	18	the	the	DET
cana-2866	258	19	interaction	interaction	NOUN
cana-2866	258	20	between	between	ADP
cana-2866	258	21	feature	feature	NOUN
cana-2866	258	22	detectors	detector	NOUN
cana-2866	258	23	.	.	PUNCT
cana-2866	259	1	dropout	dropout	NOUN
cana-2866	259	2	is	be	AUX
cana-2866	259	3	a	a	DET
cana-2866	259	4	technique	technique	NOUN
cana-2866	259	5	for	for	ADP
cana-2866	259	6	training	train	VERB
cana-2866	259	7	deep	deep	ADJ
cana-2866	259	8	neural	neural	ADJ
cana-2866	259	9	networks	network	NOUN
cana-2866	259	10	in	in	ADP
cana-2866	259	11	which	which	PRON
cana-2866	259	12	the	the	DET
cana-2866	259	13	overfitting	overfitte	VERB
cana-2866	259	14	phenomena	phenomenon	NOUN
cana-2866	259	15	can	can	AUX
cana-2866	259	16	be	be	AUX
cana-2866	259	17	greatly	greatly	ADV
cana-2866	259	18	minimized	minimize	VERB
cana-2866	259	19	in	in	ADP
cana-2866	259	20	each	each	DET
cana-2866	259	21	training	training	NOUN
cana-2866	259	22	batch	batch	NOUN
cana-2866	259	23	by	by	ADP
cana-2866	259	24	disregarding	disregard	VERB
cana-2866	259	25	half	half	NOUN
cana-2866	259	26	of	of	ADP
cana-2866	259	27	the	the	DET
cana-2866	259	28	feature	feature	NOUN
cana-2866	259	29	detectors	detector	NOUN
cana-2866	259	30	,	,	PUNCT
cana-2866	259	31	meaning	mean	VERB
cana-2866	259	32	that	that	SCONJ
cana-2866	259	33	half	half	NOUN
cana-2866	259	34	of	of	ADP
cana-2866	259	35	the	the	DET
cana-2866	259	36	hidden	hide	VERB
cana-2866	259	37	layer	layer	NOUN
cana-2866	259	38	nodes	node	NOUN
cana-2866	259	39	'	'	PART
cana-2866	259	40	weights	weight	NOUN
cana-2866	259	41	are	be	AUX
cana-2866	259	42	set	set	VERB
cana-2866	259	43	to	to	ADP
cana-2866	259	44	0	0	NUM
cana-2866	259	45	during	during	ADP
cana-2866	259	46	dropout	dropout	NOUN
cana-2866	259	47	.	.	PUNCT
cana-2866	260	1	dropout	dropout	NOUN
cana-2866	260	2	is	be	AUX
cana-2866	260	3	a	a	DET
cana-2866	260	4	useful	useful	ADJ
cana-2866	260	5	tool	tool	NOUN
cana-2866	260	6	in	in	ADP
cana-2866	260	7	this	this	DET
cana-2866	260	8	study	study	NOUN
cana-2866	260	9	to	to	PART
cana-2866	260	10	effectively	effectively	ADV
cana-2866	260	11	prevent	prevent	VERB
cana-2866	260	12	overfitting	overfitting	NOUN
cana-2866	260	13	.	.	PUNCT
cana-2866	261	1	every	every	DET
cana-2866	261	2	neuron	neuron	NOUN
cana-2866	261	3	in	in	ADP
cana-2866	261	4	every	every	DET
cana-2866	261	5	layer	layer	NOUN
cana-2866	261	6	produced	produce	VERB
cana-2866	261	7	zero	zero	NUM
cana-2866	261	8	with	with	ADP
cana-2866	261	9	a	a	DET
cana-2866	261	10	probability	probability	NOUN
cana-2866	261	11	of	of	ADP
cana-2866	261	12	0.5	0.5	NUM
cana-2866	261	13	since	since	SCONJ
cana-2866	261	14	we	we	PRON
cana-2866	261	15	had	have	AUX
cana-2866	261	16	set	set	VERB
cana-2866	261	17	the	the	DET
cana-2866	261	18	retention	retention	NOUN
cana-2866	261	19	probability	probability	NOUN
cana-2866	261	20	for	for	ADP
cana-2866	261	21	dropout	dropout	NOUN
cana-2866	261	22	to	to	ADP
cana-2866	261	23	p	p	NOUN
cana-2866	261	24	=	=	PROPN
cana-2866	261	25	0.5	0.5	NUM
cana-2866	261	26	.	.	PUNCT
cana-2866	261	27	zero	zero	NUM
cana-2866	261	28	padding	padding	NOUN
cana-2866	261	29	when	when	SCONJ
cana-2866	261	30	employing	employ	VERB
cana-2866	261	31	a	a	DET
cana-2866	261	32	cnn	cnn	NOUN
cana-2866	261	33	to	to	PART
cana-2866	261	34	process	process	VERB
cana-2866	261	35	image	image	NOUN
cana-2866	261	36	data	datum	NOUN
cana-2866	261	37	,	,	PUNCT
cana-2866	261	38	the	the	DET
cana-2866	261	39	convolutional	convolutional	ADJ
cana-2866	261	40	kernel	kernel	NOUN
cana-2866	261	41	will	will	AUX
cana-2866	261	42	often	often	ADV
cana-2866	261	43	only	only	ADV
cana-2866	261	44	operate	operate	VERB
cana-2866	261	45	on	on	ADP
cana-2866	261	46	the	the	DET
cana-2866	261	47	majority	majority	NOUN
cana-2866	261	48	of	of	ADP
cana-2866	261	49	the	the	DET
cana-2866	261	50	edge	edge	NOUN
cana-2866	261	51	pixels	pixel	NOUN
cana-2866	261	52	in	in	ADP
cana-2866	261	53	the	the	DET
cana-2866	261	54	input	input	NOUN
cana-2866	261	55	image	image	NOUN
cana-2866	261	56	once	once	ADV
cana-2866	261	57	,	,	PUNCT
cana-2866	261	58	while	while	SCONJ
cana-2866	261	59	the	the	DET
cana-2866	261	60	middle	middle	ADJ
cana-2866	261	61	pixels	pixel	NOUN
cana-2866	261	62	will	will	AUX
cana-2866	261	63	be	be	AUX
cana-2866	261	64	scanned	scan	VERB
cana-2866	261	65	multiple	multiple	ADJ
cana-2866	261	66	times	time	NOUN
cana-2866	261	67	.	.	PUNCT
cana-2866	262	1	this	this	PRON
cana-2866	262	2	somewhat	somewhat	ADV
cana-2866	262	3	lowers	lower	VERB
cana-2866	262	4	the	the	DET
cana-2866	262	5	border	border	NOUN
cana-2866	262	6	information	information	NOUN
cana-2866	262	7	's	's	PART
cana-2866	262	8	reference	reference	NOUN
cana-2866	262	9	degree	degree	NOUN
cana-2866	262	10	.	.	PUNCT
cana-2866	263	1	however	however	ADV
cana-2866	263	2	,	,	PUNCT
cana-2866	263	3	following	follow	VERB
cana-2866	263	4	the	the	DET
cana-2866	263	5	use	use	NOUN
cana-2866	263	6	of	of	ADP
cana-2866	263	7	zero	zero	NUM
cana-2866	263	8	-	-	PUNCT
cana-2866	263	9	padding	padding	NOUN
cana-2866	263	10	,	,	PUNCT
cana-2866	263	11	the	the	DET
cana-2866	263	12	new	new	ADJ
cana-2866	263	13	boundary	boundary	NOUN
cana-2866	263	14	affects	affect	VERB
cana-2866	263	15	a	a	DET
cana-2866	263	16	specific	specific	ADJ
cana-2866	263	17	portion	portion	NOUN
cana-2866	263	18	of	of	ADP
cana-2866	263	19	the	the	DET
cana-2866	263	20	processing	processing	NOUN
cana-2866	263	21	itself	itself	PRON
cana-2866	263	22	.	.	PUNCT
cana-2866	264	1	to	to	ADP
cana-2866	264	2	some	some	DET
cana-2866	264	3	extent	extent	NOUN
cana-2866	264	4	,	,	PUNCT
cana-2866	264	5	this	this	DET
cana-2866	264	6	difficulty	difficulty	NOUN
cana-2866	264	7	can	can	AUX
cana-2866	264	8	be	be	AUX
cana-2866	264	9	resolved	resolve	VERB
cana-2866	264	10	by	by	ADP
cana-2866	264	11	introducing	introduce	VERB
cana-2866	264	12	zero	zero	NUM
cana-2866	264	13	padding	padding	NOUN
cana-2866	264	14	.	.	PUNCT
cana-2866	265	1	it	it	PRON
cana-2866	265	2	is	be	AUX
cana-2866	265	3	possible	possible	ADJ
cana-2866	265	4	to	to	PART
cana-2866	265	5	complement	complement	VERB
cana-2866	265	6	input	input	NOUN
cana-2866	265	7	images	image	NOUN
cana-2866	265	8	of	of	ADP
cana-2866	265	9	varied	varied	ADJ
cana-2866	265	10	sizes	size	NOUN
cana-2866	265	11	so	so	SCONJ
cana-2866	265	12	sizes	size	VERB
cana-2866	265	13	such	such	ADJ
cana-2866	265	14	that	that	SCONJ
cana-2866	265	15	they	they	PRON
cana-2866	265	16	are	be	AUX
cana-2866	265	17	the	the	DET
cana-2866	265	18	same	same	ADJ
cana-2866	265	19	size	size	NOUN
cana-2866	265	20	at	at	ADP
cana-2866	265	21	the	the	DET
cana-2866	265	22	same	same	ADJ
cana-2866	265	23	time	time	NOUN
cana-2866	265	24	.	.	PUNCT
cana-2866	266	1	consider	consider	VERB
cana-2866	266	2	the	the	DET
cana-2866	266	3	output	output	NOUN
cana-2866	266	4	size	size	NOUN
cana-2866	266	5	is(0𝑋	is(0𝑋	PROPN
cana-2866	266	6	,	,	PUNCT
cana-2866	266	7	𝑂𝑌	𝑂𝑌	PROPN
cana-2866	266	8	)	)	PUNCT
cana-2866	266	9	,	,	PUNCT
cana-2866	266	10	the	the	DET
cana-2866	266	11	input	input	NOUN
cana-2866	266	12	size	size	NOUN
cana-2866	266	13	is	be	AUX
cana-2866	266	14	(	(	PUNCT
cana-2866	266	15	𝑋	𝑋	PROPN
cana-2866	266	16	,	,	PUNCT
cana-2866	266	17	𝑌	𝑌	PROPN
cana-2866	266	18	)	)	PUNCT
cana-2866	266	19	,	,	PUNCT
cana-2866	266	20	the	the	DET
cana-2866	266	21	filter	filter	NOUN
cana-2866	266	22	size	size	NOUN
cana-2866	266	23	is(𝐹𝑋	is(𝐹𝑋	NOUN
cana-2866	266	24	,	,	PUNCT
cana-2866	266	25	𝐹𝑌	𝐹𝑌	PROPN
cana-2866	266	26	)	)	PUNCT
cana-2866	266	27	,	,	PUNCT
cana-2866	266	28	and	and	CCONJ
cana-2866	266	29	the	the	DET
cana-2866	266	30	stride	stride	NOUN
cana-2866	266	31	is	be	AUX
cana-2866	266	32	𝑆.	𝑆.	VERB
cana-2866	266	33	the	the	DET
cana-2866	266	34	output	output	NOUN
cana-2866	266	35	size	size	NOUN
cana-2866	266	36	formula	formula	NOUN
cana-2866	266	37	then	then	ADV
cana-2866	266	38	looks	look	VERB
cana-2866	266	39	like	like	ADP
cana-2866	266	40	this	this	PRON
cana-2866	266	41	:	:	PUNCT
cana-2866	266	42	𝑂𝑋	𝑂𝑋	NOUN
cana-2866	266	43	=	=	SYM
cana-2866	266	44	𝑋	𝑋	PROPN
cana-2866	266	45	+	+	CCONJ
cana-2866	266	46	2𝑃	2𝑃	ADJ
cana-2866	266	47	−	−	NOUN
cana-2866	266	48	𝐹𝑋	𝐹𝑋	PROPN
cana-2866	266	49	𝑆	𝑆	PROPN
cana-2866	266	50	+	+	CCONJ
cana-2866	266	51	1	1	NUM
cana-2866	266	52	communications	communication	NOUN
cana-2866	266	53	on	on	ADP
cana-2866	266	54	applied	apply	VERB
cana-2866	266	55	nonlinear	nonlinear	ADJ
cana-2866	266	56	analysis	analysis	NOUN
cana-2866	266	57	issn	issn	NOUN
cana-2866	266	58	:	:	PUNCT
cana-2866	266	59	1074	1074	NUM
cana-2866	266	60	-	-	PUNCT
cana-2866	266	61	133x	133x	NUM
cana-2866	266	62	vol	vol	NOUN
cana-2866	266	63	32	32	NUM
cana-2866	266	64	no	no	NOUN
cana-2866	266	65	.	.	PUNCT
cana-2866	267	1	4s	4s	NUM
cana-2866	267	2	(	(	PUNCT
cana-2866	267	3	2025	2025	NUM
cana-2866	267	4	)	)	PUNCT
cana-2866	267	5	491	491	NUM
cana-2866	268	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-2866	268	2	𝑂𝑌	𝑂𝑌	PROPN
cana-2866	268	3	=	=	SYM
cana-2866	268	4	𝑌	𝑌	PROPN
cana-2866	268	5	+	+	CCONJ
cana-2866	268	6	2𝑃	2𝑃	ADV
cana-2866	268	7	−	−	PROPN
cana-2866	268	8	𝐹𝑌	𝐹𝑌	PROPN
cana-2866	268	9	𝑆	𝑆	PROPN
cana-2866	268	10	+	+	CCONJ
cana-2866	268	11	1	1	NUM
cana-2866	268	12	i.	i.	NOUN
cana-2866	268	13	experiment	experiment	NOUN
cana-2866	268	14	results	result	NOUN
cana-2866	268	15	and	and	CCONJ
cana-2866	268	16	discussions	discussion	NOUN
cana-2866	268	17	the	the	DET
cana-2866	268	18	proposed	propose	VERB
cana-2866	268	19	work	work	NOUN
cana-2866	268	20	used	use	VERB
cana-2866	268	21	rolling	roll	VERB
cana-2866	268	22	ball	ball	NOUN
cana-2866	268	23	algorithm	algorithm	NOUN
cana-2866	268	24	for	for	ADP
cana-2866	268	25	background	background	NOUN
cana-2866	268	26	removal	removal	NOUN
cana-2866	268	27	on	on	ADP
cana-2866	268	28	mias	mias	PROPN
cana-2866	268	29	images	image	NOUN
cana-2866	268	30	in	in	ADP
cana-2866	268	31	initial	initial	ADJ
cana-2866	268	32	step	step	NOUN
cana-2866	268	33	.	.	PUNCT
cana-2866	269	1	then	then	ADV
cana-2866	269	2	clahe	clahe	PROPN
cana-2866	269	3	and	and	CCONJ
cana-2866	269	4	unsharp	unsharp	ADJ
cana-2866	269	5	methods	method	NOUN
cana-2866	269	6	are	be	AUX
cana-2866	269	7	applied	apply	VERB
cana-2866	269	8	on	on	ADP
cana-2866	269	9	the	the	DET
cana-2866	269	10	back	back	ADJ
cana-2866	269	11	ground	ground	NOUN
cana-2866	269	12	removed	remove	VERB
cana-2866	269	13	images	image	NOUN
cana-2866	269	14	for	for	ADP
cana-2866	269	15	optimizing	optimize	VERB
cana-2866	269	16	contrast	contrast	NOUN
cana-2866	269	17	enhancement	enhancement	NOUN
cana-2866	269	18	and	and	CCONJ
cana-2866	269	19	this	this	DET
cana-2866	269	20	research	research	NOUN
cana-2866	269	21	has	have	AUX
cana-2866	269	22	compared	compare	VERB
cana-2866	269	23	both	both	ADV
cana-2866	269	24	and	and	CCONJ
cana-2866	269	25	found	find	VERB
cana-2866	269	26	clahe	clahe	PROPN
cana-2866	269	27	has	have	AUX
cana-2866	269	28	provided	provide	VERB
cana-2866	269	29	effective	effective	ADJ
cana-2866	269	30	image	image	NOUN
cana-2866	269	31	enhancement	enhancement	NOUN
cana-2866	269	32	.	.	PUNCT
cana-2866	270	1	the	the	DET
cana-2866	270	2	proposed	propose	VERB
cana-2866	270	3	work	work	NOUN
cana-2866	270	4	has	have	AUX
cana-2866	270	5	performed	perform	VERB
cana-2866	270	6	image	image	NOUN
cana-2866	270	7	segmentation	segmentation	NOUN
cana-2866	270	8	using	use	VERB
cana-2866	270	9	k	k	NOUN
cana-2866	270	10	-	-	PUNCT
cana-2866	270	11	means	mean	VERB
cana-2866	270	12	algorithms	algorithm	NOUN
cana-2866	270	13	on	on	ADP
cana-2866	270	14	the	the	DET
cana-2866	270	15	enhanced	enhance	VERB
cana-2866	270	16	images	image	NOUN
cana-2866	270	17	generated	generate	VERB
cana-2866	270	18	by	by	ADP
cana-2866	270	19	clahe	clahe	NOUN
cana-2866	270	20	and	and	CCONJ
cana-2866	270	21	unsharp	unsharp	ADJ
cana-2866	270	22	.	.	PUNCT
cana-2866	271	1	after	after	ADP
cana-2866	271	2	preprocessing	preprocesse	VERB
cana-2866	271	3	the	the	DET
cana-2866	271	4	images	image	NOUN
cana-2866	271	5	using	use	VERB
cana-2866	271	6	proposed	propose	VERB
cana-2866	271	7	methods	method	NOUN
cana-2866	271	8	,	,	PUNCT
cana-2866	271	9	these	these	DET
cana-2866	271	10	preprocessed	preprocesse	VERB
cana-2866	271	11	images	image	NOUN
cana-2866	271	12	are	be	AUX
cana-2866	271	13	provided	provide	VERB
cana-2866	271	14	to	to	ADP
cana-2866	271	15	deep	deep	ADJ
cana-2866	271	16	cnn	cnn	PROPN
cana-2866	271	17	model	model	NOUN
cana-2866	271	18	for	for	ADP
cana-2866	271	19	feature	feature	NOUN
cana-2866	271	20	extraction	extraction	NOUN
cana-2866	271	21	and	and	CCONJ
cana-2866	271	22	classification	classification	NOUN
cana-2866	271	23	.	.	PUNCT
cana-2866	272	1	the	the	DET
cana-2866	272	2	experimental	experimental	ADJ
cana-2866	272	3	results	result	NOUN
cana-2866	272	4	of	of	ADP
cana-2866	272	5	the	the	DET
cana-2866	272	6	suggested	suggest	VERB
cana-2866	272	7	system	system	NOUN
cana-2866	272	8	are	be	AUX
cana-2866	272	9	described	describe	VERB
cana-2866	272	10	in	in	ADP
cana-2866	272	11	this	this	DET
cana-2866	272	12	section	section	NOUN
cana-2866	272	13	.	.	PUNCT
cana-2866	273	1	the	the	DET
cana-2866	273	2	suggested	suggest	VERB
cana-2866	273	3	approach	approach	NOUN
cana-2866	273	4	is	be	AUX
cana-2866	273	5	applied	apply	VERB
cana-2866	273	6	to	to	ADP
cana-2866	273	7	two	two	NUM
cana-2866	273	8	publicly	publicly	ADV
cana-2866	273	9	available	available	ADJ
cana-2866	273	10	datasets	dataset	NOUN
cana-2866	273	11	,	,	PUNCT
cana-2866	273	12	namely	namely	ADV
cana-2866	273	13	mias	mias	PROPN
cana-2866	273	14	and	and	CCONJ
cana-2866	273	15	bcdr	bcdr	NOUN
cana-2866	273	16	.	.	PUNCT
cana-2866	274	1	the	the	DET
cana-2866	274	2	proposed	propose	VERB
cana-2866	274	3	system	system	NOUN
cana-2866	274	4	performance	performance	NOUN
cana-2866	274	5	is	be	AUX
cana-2866	274	6	evaluated	evaluate	VERB
cana-2866	274	7	using	use	VERB
cana-2866	274	8	f	f	NOUN
cana-2866	274	9	-	-	PUNCT
cana-2866	274	10	metrics	metric	NOUN
cana-2866	274	11	,	,	PUNCT
cana-2866	274	12	recall	recall	NOUN
cana-2866	274	13	,	,	PUNCT
cana-2866	274	14	precision	precision	NOUN
cana-2866	274	15	,	,	PUNCT
cana-2866	274	16	and	and	CCONJ
cana-2866	274	17	accuracy	accuracy	NOUN
cana-2866	274	18	.	.	PUNCT
cana-2866	275	1	while	while	SCONJ
cana-2866	275	2	accuracy	accuracy	NOUN
cana-2866	275	3	is	be	AUX
cana-2866	275	4	a	a	DET
cana-2866	275	5	commonly	commonly	ADV
cana-2866	275	6	used	use	VERB
cana-2866	275	7	metric	metric	NOUN
cana-2866	275	8	to	to	PART
cana-2866	275	9	assess	assess	VERB
cana-2866	275	10	classifier	classifier	NOUN
cana-2866	275	11	performance	performance	NOUN
cana-2866	275	12	,	,	PUNCT
cana-2866	275	13	it	it	PRON
cana-2866	275	14	only	only	ADV
cana-2866	275	15	considers	consider	VERB
cana-2866	275	16	the	the	DET
cana-2866	275	17	impact	impact	NOUN
cana-2866	275	18	of	of	ADP
cana-2866	275	19	classes	class	NOUN
cana-2866	275	20	on	on	ADP
cana-2866	275	21	the	the	DET
cana-2866	275	22	total	total	ADJ
cana-2866	275	23	number	number	NOUN
cana-2866	275	24	of	of	ADP
cana-2866	275	25	instances	instance	NOUN
cana-2866	275	26	.	.	PUNCT
cana-2866	276	1	in	in	ADP
cana-2866	276	2	summary	summary	NOUN
cana-2866	276	3	,	,	PUNCT
cana-2866	276	4	in	in	ADP
cana-2866	276	5	an	an	DET
cana-2866	276	6	unbalanced	unbalanced	ADJ
cana-2866	276	7	dataset	dataset	NOUN
cana-2866	276	8	,	,	PUNCT
cana-2866	276	9	classifiers	classifier	NOUN
cana-2866	276	10	typically	typically	ADV
cana-2866	276	11	exhibit	exhibit	VERB
cana-2866	276	12	a	a	DET
cana-2866	276	13	bias	bias	NOUN
cana-2866	276	14	towards	towards	ADP
cana-2866	276	15	the	the	DET
cana-2866	276	16	majority	majority	NOUN
cana-2866	276	17	class	class	NOUN
cana-2866	276	18	.	.	PUNCT
cana-2866	277	1	therefore	therefore	ADV
cana-2866	277	2	,	,	PUNCT
cana-2866	277	3	other	other	ADJ
cana-2866	277	4	metrics	metric	NOUN
cana-2866	277	5	that	that	PRON
cana-2866	277	6	are	be	AUX
cana-2866	277	7	frequently	frequently	ADV
cana-2866	277	8	used	use	VERB
cana-2866	277	9	for	for	ADP
cana-2866	277	10	classification	classification	NOUN
cana-2866	277	11	with	with	ADP
cana-2866	277	12	imbalanced	imbalanced	ADJ
cana-2866	277	13	datasets	dataset	NOUN
cana-2866	277	14	will	will	AUX
cana-2866	277	15	also	also	ADV
cana-2866	277	16	be	be	AUX
cana-2866	277	17	taken	take	VERB
cana-2866	277	18	into	into	ADP
cana-2866	277	19	account	account	NOUN
cana-2866	277	20	for	for	ADP
cana-2866	277	21	a	a	DET
cana-2866	277	22	more	more	ADV
cana-2866	277	23	thorough	thorough	ADJ
cana-2866	277	24	analysis	analysis	NOUN
cana-2866	277	25	as	as	SCONJ
cana-2866	277	26	shown	show	VERB
cana-2866	277	27	in	in	ADP
cana-2866	277	28	table	table	NOUN
cana-2866	277	29	1	1	NUM
cana-2866	277	30	.	.	PUNCT
cana-2866	278	1	these	these	DET
cana-2866	278	2	metrics	metric	NOUN
cana-2866	278	3	include	include	VERB
cana-2866	278	4	specificity	specificity	NOUN
cana-2866	278	5	,	,	PUNCT
cana-2866	278	6	sensitivity	sensitivity	NOUN
cana-2866	278	7	,	,	PUNCT
cana-2866	278	8	precision	precision	NOUN
cana-2866	278	9	,	,	PUNCT
cana-2866	278	10	f1	f1	NOUN
cana-2866	278	11	-	-	PUNCT
cana-2866	278	12	score	score	NOUN
cana-2866	278	13	,	,	PUNCT
cana-2866	278	14	recall	recall	NOUN
cana-2866	278	15	.	.	PUNCT
cana-2866	279	1	table	table	NOUN
cana-2866	279	2	:	:	PUNCT
cana-2866	279	3	1	1	X
cana-2866	279	4	.	.	X
cana-2866	279	5	evaluation	evaluation	NOUN
cana-2866	279	6	metrics	metric	NOUN
cana-2866	279	7	description	description	NOUN
cana-2866	279	8	evaluation	evaluation	NOUN
cana-2866	279	9	metric	metric	ADJ
cana-2866	279	10	to	to	PART
cana-2866	279	11	determine	determine	VERB
cana-2866	279	12	formula	formula	NOUN
cana-2866	279	13	preferred	prefer	VERB
cana-2866	279	14	value	value	NOUN
cana-2866	279	15	accuracy	accuracy	NOUN
cana-2866	279	16	overall	overall	ADJ
cana-2866	279	17	,	,	PUNCT
cana-2866	279	18	how	how	SCONJ
cana-2866	279	19	often	often	ADV
cana-2866	279	20	result	result	VERB
cana-2866	279	21	is	be	AUX
cana-2866	279	22	true	true	ADJ
cana-2866	279	23	tp	tp	ADP
cana-2866	279	24	+	+	CCONJ
cana-2866	279	25	tn	tn	PROPN
cana-2866	279	26	/	/	SYM
cana-2866	279	27	t	t	PROPN
cana-2866	279	28	high	high	ADJ
cana-2866	279	29	(	(	PUNCT
cana-2866	279	30	͌1	͌1	ADJ
cana-2866	279	31	)	)	PUNCT
cana-2866	279	32	true	true	ADJ
cana-2866	279	33	positive	positive	ADJ
cana-2866	279	34	rate	rate	NOUN
cana-2866	279	35	(	(	PUNCT
cana-2866	279	36	tpr	tpr	NOUN
cana-2866	279	37	)	)	PUNCT
cana-2866	279	38	recall	recall	NOUN
cana-2866	279	39	or	or	CCONJ
cana-2866	279	40	sensitivity	sensitivity	NOUN
cana-2866	279	41	when	when	SCONJ
cana-2866	279	42	it	it	PRON
cana-2866	279	43	is	be	AUX
cana-2866	279	44	actually	actually	ADV
cana-2866	279	45	true	true	ADJ
cana-2866	279	46	,	,	PUNCT
cana-2866	279	47	how	how	SCONJ
cana-2866	279	48	often	often	ADV
cana-2866	279	49	does	do	AUX
cana-2866	279	50	it	it	PRON
cana-2866	279	51	predict	predict	VERB
cana-2866	279	52	true	true	ADJ
cana-2866	279	53	tp	tp	NOUN
cana-2866	279	54	/	/	SYM
cana-2866	279	55	fn	fn	PROPN
cana-2866	280	1	+	+	CCONJ
cana-2866	280	2	tp	tp	PART
cana-2866	280	3	high	high	ADJ
cana-2866	280	4	(	(	PUNCT
cana-2866	280	5	͌1	͌1	NOUN
cana-2866	280	6	)	)	PUNCT
cana-2866	280	7	precision	precision	NOUN
cana-2866	280	8	when	when	SCONJ
cana-2866	280	9	it	it	PRON
cana-2866	280	10	predicts	predict	VERB
cana-2866	280	11	true	true	ADJ
cana-2866	280	12	,	,	PUNCT
cana-2866	280	13	how	how	SCONJ
cana-2866	280	14	often	often	ADV
cana-2866	280	15	it	it	PRON
cana-2866	280	16	is	be	AUX
cana-2866	280	17	correct	correct	ADJ
cana-2866	280	18	tp	tp	ADP
cana-2866	280	19	/	/	SYM
cana-2866	280	20	fp	fp	PROPN
cana-2866	280	21	+	+	CCONJ
cana-2866	280	22	tn	tn	NOUN
cana-2866	280	23	high	high	ADJ
cana-2866	280	24	(	(	PUNCT
cana-2866	280	25	͌1	͌1	NOUN
cana-2866	280	26	)	)	PUNCT
cana-2866	280	27	f1	f1	NOUN
cana-2866	280	28	-	-	PUNCT
cana-2866	280	29	score	score	NOUN
cana-2866	280	30	harmonic	harmonic	ADJ
cana-2866	280	31	mean	mean	NOUN
cana-2866	280	32	of	of	ADP
cana-2866	280	33	precision	precision	NOUN
cana-2866	280	34	and	and	CCONJ
cana-2866	280	35	recall	recall	VERB
cana-2866	280	36	2	2	NUM
cana-2866	280	37	x	x	SYM
cana-2866	280	38	precision	precision	NOUN
cana-2866	280	39	x	x	SYM
cana-2866	280	40	tpr	tpr	PROPN
cana-2866	280	41	/	/	SYM
cana-2866	280	42	precision	precision	NOUN
cana-2866	280	43	+	+	CCONJ
cana-2866	280	44	tpr	tpr	PROPN
cana-2866	280	45	high	high	ADJ
cana-2866	280	46	(	(	PUNCT
cana-2866	280	47	͌1	͌1	PROPN
cana-2866	280	48	)	)	PUNCT
cana-2866	280	49	where	where	SCONJ
cana-2866	280	50	tp	tp	NOUN
cana-2866	280	51	,	,	PUNCT
cana-2866	280	52	tn	tn	PROPN
cana-2866	280	53	,	,	PUNCT
cana-2866	280	54	fp	fp	PROPN
cana-2866	280	55	and	and	CCONJ
cana-2866	280	56	fn	fn	PROPN
cana-2866	280	57	are	be	AUX
cana-2866	280	58	true	true	ADJ
cana-2866	280	59	positives	positive	NOUN
cana-2866	280	60	,	,	PUNCT
cana-2866	280	61	true	true	ADJ
cana-2866	280	62	negatives	negative	NOUN
cana-2866	280	63	,	,	PUNCT
cana-2866	280	64	false	false	ADJ
cana-2866	280	65	positives	positive	NOUN
cana-2866	280	66	and	and	CCONJ
cana-2866	280	67	false	false	ADJ
cana-2866	280	68	negatives	negative	NOUN
cana-2866	280	69	respectively	respectively	ADV
cana-2866	280	70	.	.	PUNCT
cana-2866	281	1	the	the	DET
cana-2866	281	2	harmonic	harmonic	ADJ
cana-2866	281	3	mean	mean	NOUN
cana-2866	281	4	of	of	ADP
cana-2866	281	5	the	the	DET
cana-2866	281	6	precision	precision	NOUN
cana-2866	281	7	and	and	CCONJ
cana-2866	281	8	recall	recall	NOUN
cana-2866	281	9	is	be	AUX
cana-2866	281	10	known	know	VERB
cana-2866	281	11	as	as	ADP
cana-2866	281	12	the	the	DET
cana-2866	281	13	f1	f1	NOUN
cana-2866	281	14	-	-	PUNCT
cana-2866	281	15	score	score	NOUN
cana-2866	281	16	among	among	ADP
cana-2866	281	17	those	those	DET
cana-2866	281	18	evaluation	evaluation	NOUN
cana-2866	281	19	measures	measure	NOUN
cana-2866	281	20	.	.	PUNCT
cana-2866	282	1	within	within	ADP
cana-2866	282	2	positive	positive	ADJ
cana-2866	282	3	predictions	prediction	NOUN
cana-2866	282	4	,	,	PUNCT
cana-2866	282	5	precision	precision	NOUN
cana-2866	282	6	is	be	AUX
cana-2866	282	7	defined	define	VERB
cana-2866	282	8	as	as	ADP
cana-2866	282	9	the	the	DET
cana-2866	282	10	percentage	percentage	NOUN
cana-2866	282	11	of	of	ADP
cana-2866	282	12	accurate	accurate	ADJ
cana-2866	282	13	positive	positive	ADJ
cana-2866	282	14	predictions	prediction	NOUN
cana-2866	282	15	.	.	PUNCT
cana-2866	283	1	sensitivity	sensitivity	NOUN
cana-2866	283	2	,	,	PUNCT
cana-2866	283	3	another	another	DET
cana-2866	283	4	name	name	NOUN
cana-2866	283	5	for	for	ADP
cana-2866	283	6	recall	recall	NOUN
cana-2866	283	7	,	,	PUNCT
cana-2866	283	8	is	be	AUX
cana-2866	283	9	the	the	DET
cana-2866	283	10	true	true	ADJ
cana-2866	283	11	positive	positive	ADJ
cana-2866	283	12	rate	rate	NOUN
cana-2866	283	13	among	among	ADP
cana-2866	283	14	the	the	DET
cana-2866	283	15	class	class	NOUN
cana-2866	283	16	instances	instance	NOUN
cana-2866	283	17	.	.	PUNCT
cana-2866	284	1	the	the	DET
cana-2866	284	2	term	term	NOUN
cana-2866	284	3	"	"	PUNCT
cana-2866	284	4	specificity	specificity	NOUN
cana-2866	284	5	"	"	PUNCT
cana-2866	284	6	refers	refer	VERB
cana-2866	284	7	to	to	ADP
cana-2866	284	8	the	the	DET
cana-2866	284	9	actual	actual	ADJ
cana-2866	284	10	negative	negative	ADJ
cana-2866	284	11	rate	rate	NOUN
cana-2866	284	12	,	,	PUNCT
cana-2866	284	13	which	which	PRON
cana-2866	284	14	can	can	AUX
cana-2866	284	15	be	be	AUX
cana-2866	284	16	seen	see	VERB
cana-2866	284	17	as	as	ADP
cana-2866	284	18	the	the	DET
cana-2866	284	19	classifier	classifier	NOUN
cana-2866	284	20	's	's	PART
cana-2866	284	21	capacity	capacity	NOUN
cana-2866	284	22	to	to	PART
cana-2866	284	23	appropriately	appropriately	ADV
cana-2866	284	24	reject	reject	VERB
cana-2866	284	25	individuals	individual	NOUN
cana-2866	284	26	who	who	PRON
cana-2866	284	27	are	be	AUX
cana-2866	284	28	healthy	healthy	ADJ
cana-2866	284	29	and	and	CCONJ
cana-2866	284	30	free	free	ADJ
cana-2866	284	31	of	of	ADP
cana-2866	284	32	conditions	condition	NOUN
cana-2866	284	33	.	.	PUNCT
cana-2866	285	1	the	the	DET
cana-2866	285	2	trade	trade	NOUN
cana-2866	285	3	-	-	PUNCT
cana-2866	285	4	off	off	NOUN
cana-2866	285	5	between	between	ADP
cana-2866	285	6	recall	recall	NOUN
cana-2866	285	7	and	and	CCONJ
cana-2866	285	8	precision	precision	NOUN
cana-2866	285	9	is	be	AUX
cana-2866	285	10	shown	show	VERB
cana-2866	285	11	by	by	ADP
cana-2866	285	12	the	the	DET
cana-2866	285	13	f1	f1	NOUN
cana-2866	285	14	-	-	PUNCT
cana-2866	285	15	score	score	NOUN
cana-2866	285	16	.	.	PUNCT
cana-2866	286	1	in	in	ADP
cana-2866	286	2	the	the	DET
cana-2866	286	3	case	case	NOUN
cana-2866	286	4	of	of	ADP
cana-2866	286	5	imbalanced	imbalanced	ADJ
cana-2866	286	6	dataset	dataset	NOUN
cana-2866	286	7	categorization	categorization	NOUN
cana-2866	286	8	,	,	PUNCT
cana-2866	286	9	the	the	DET
cana-2866	286	10	f1	f1	NOUN
cana-2866	286	11	-	-	PUNCT
cana-2866	286	12	score	score	NOUN
cana-2866	286	13	can	can	AUX
cana-2866	286	14	offer	offer	VERB
cana-2866	286	15	more	more	ADJ
cana-2866	286	16	insights	insight	NOUN
cana-2866	286	17	than	than	ADP
cana-2866	286	18	accuracy	accuracy	NOUN
cana-2866	286	19	.	.	PUNCT
cana-2866	287	1	this	this	DET
cana-2866	287	2	paper	paper	NOUN
cana-2866	287	3	compared	compare	VERB
cana-2866	287	4	the	the	DET
cana-2866	287	5	two	two	NUM
cana-2866	287	6	different	different	ADJ
cana-2866	287	7	image	image	NOUN
cana-2866	287	8	enhancement	enhancement	NOUN
cana-2866	287	9	methods	method	NOUN
cana-2866	287	10	with	with	ADP
cana-2866	287	11	k	k	PROPN
cana-2866	287	12	means	mean	VERB
cana-2866	287	13	segmentation	segmentation	NOUN
cana-2866	287	14	approach	approach	NOUN
cana-2866	287	15	for	for	ADP
cana-2866	287	16	classification	classification	NOUN
cana-2866	287	17	of	of	ADP
cana-2866	287	18	images	image	NOUN
cana-2866	287	19	and	and	CCONJ
cana-2866	287	20	the	the	DET
cana-2866	287	21	results	result	NOUN
cana-2866	287	22	are	be	AUX
cana-2866	287	23	presented	present	VERB
cana-2866	287	24	in	in	ADP
cana-2866	287	25	table	table	NOUN
cana-2866	287	26	2	2	NUM
cana-2866	287	27	.	.	PUNCT
cana-2866	288	1	the	the	DET
cana-2866	288	2	table	table	NOUN
cana-2866	288	3	2	2	NUM
cana-2866	288	4	summarizes	summarize	VERB
cana-2866	288	5	the	the	DET
cana-2866	288	6	preprocessing	preprocessing	NOUN
cana-2866	288	7	by	by	ADP
cana-2866	288	8	clahe	clahe	PROPN
cana-2866	288	9	exhibited	exhibit	VERB
cana-2866	288	10	better	well	ADJ
cana-2866	288	11	results	result	NOUN
cana-2866	288	12	than	than	ADP
cana-2866	288	13	unsharp	unsharp	ADJ
cana-2866	288	14	masking	masking	NOUN
cana-2866	288	15	.	.	PUNCT
cana-2866	289	1	communications	communication	NOUN
cana-2866	289	2	on	on	ADP
cana-2866	289	3	applied	apply	VERB
cana-2866	289	4	nonlinear	nonlinear	ADJ
cana-2866	289	5	analysis	analysis	NOUN
cana-2866	289	6	issn	issn	NOUN
cana-2866	289	7	:	:	PUNCT
cana-2866	289	8	1074	1074	NUM
cana-2866	289	9	-	-	PUNCT
cana-2866	289	10	133x	133x	NUM
cana-2866	289	11	vol	vol	NOUN
cana-2866	289	12	32	32	NUM
cana-2866	289	13	no	no	NOUN
cana-2866	289	14	.	.	PUNCT
cana-2866	290	1	4s	4s	NUM
cana-2866	290	2	(	(	PUNCT
cana-2866	290	3	2025	2025	NUM
cana-2866	290	4	)	)	PUNCT
cana-2866	290	5	492	492	NUM
cana-2866	291	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-2866	291	2	table	table	NOUN
cana-2866	291	3	2	2	NUM
cana-2866	291	4	.	.	PUNCT
cana-2866	292	1	classification	classification	NOUN
cana-2866	292	2	results	result	NOUN
cana-2866	292	3	of	of	ADP
cana-2866	292	4	cnn	cnn	PROPN
cana-2866	292	5	using	use	VERB
cana-2866	292	6	clahe	clahe	NOUN
cana-2866	292	7	for	for	ADP
cana-2866	292	8	image	image	NOUN
cana-2866	292	9	enhancement	enhancement	NOUN
cana-2866	292	10	and	and	CCONJ
cana-2866	292	11	k	k	NOUN
cana-2866	292	12	-	-	PUNCT
cana-2866	292	13	means	means	NOUN
cana-2866	292	14	for	for	ADP
cana-2866	292	15	segmentation	segmentation	NOUN
cana-2866	292	16	on	on	ADP
cana-2866	292	17	mias	mias	PROPN
cana-2866	292	18	dataset	dataset	PROPN
cana-2866	292	19	.	.	PUNCT
cana-2866	293	1	cnn	cnn	PROPN
cana-2866	293	2	classifier	classifier	NOUN
cana-2866	293	3	on	on	ADP
cana-2866	293	4	segmented	segment	VERB
cana-2866	293	5	images	image	NOUN
cana-2866	293	6	with	with	ADP
cana-2866	293	7	k	k	PROPN
cana-2866	293	8	means	mean	VERB
cana-2866	293	9	image	image	NOUN
cana-2866	293	10	enhancement	enhancement	NOUN
cana-2866	293	11	technique	technique	NOUN
cana-2866	293	12	used	use	VERB
cana-2866	293	13	clahe	clahe	PROPN
cana-2866	293	14	unsharp	unsharp	ADJ
cana-2866	293	15	precision	precision	NOUN
cana-2866	293	16	0.91	0.91	NUM
cana-2866	293	17	0.82	0.82	NUM
cana-2866	293	18	recall	recall	VERB
cana-2866	293	19	0.89	0.89	NUM
cana-2866	293	20	0.83	0.83	NUM
cana-2866	293	21	f1	f1	NOUN
cana-2866	293	22	score	score	NOUN
cana-2866	293	23	0.90	0.90	NUM
cana-2866	293	24	0.83	0.83	NUM
cana-2866	293	25	accuracy	accuracy	NOUN
cana-2866	293	26	88	88	NUM
cana-2866	293	27	82	82	NUM
cana-2866	293	28	4	4	NUM
cana-2866	293	29	.	.	PUNCT
cana-2866	293	30	comparative	comparative	ADJ
cana-2866	293	31	analysis	analysis	NOUN
cana-2866	293	32	the	the	DET
cana-2866	293	33	proposed	propose	VERB
cana-2866	293	34	method	method	NOUN
cana-2866	293	35	is	be	AUX
cana-2866	293	36	compared	compare	VERB
cana-2866	293	37	with	with	ADP
cana-2866	293	38	existing	exist	VERB
cana-2866	293	39	methods	method	NOUN
cana-2866	293	40	[	[	X
cana-2866	293	41	20,21,22,50,15	20,21,22,50,15	X
cana-2866	293	42	]	]	PUNCT
cana-2866	293	43	as	as	SCONJ
cana-2866	293	44	shown	show	VERB
cana-2866	293	45	in	in	ADP
cana-2866	293	46	table	table	NOUN
cana-2866	293	47	7	7	NUM
cana-2866	293	48	.	.	PUNCT
cana-2866	294	1	the	the	DET
cana-2866	294	2	s.	s.	PROPN
cana-2866	294	3	j.	j.	PROPN
cana-2866	294	4	malebary	malebary	PROPN
cana-2866	294	5	et	et	PROPN
cana-2866	294	6	al	al	PROPN
cana-2866	294	7	.	.	PUNCT
cana-2866	295	1	[	[	X
cana-2866	295	2	20	20	NUM
cana-2866	295	3	]	]	PUNCT
cana-2866	295	4	have	have	AUX
cana-2866	295	5	not	not	PART
cana-2866	295	6	used	use	VERB
cana-2866	295	7	any	any	DET
cana-2866	295	8	preprocessing	preprocessing	NOUN
cana-2866	295	9	and	and	CCONJ
cana-2866	295	10	used	use	VERB
cana-2866	295	11	k	k	NOUN
cana-2866	295	12	-	-	PUNCT
cana-2866	295	13	means	means	NOUN
cana-2866	295	14	for	for	ADP
cana-2866	295	15	segmentation	segmentation	NOUN
cana-2866	295	16	and	and	CCONJ
cana-2866	295	17	finally	finally	ADV
cana-2866	295	18	rnn	rnn	VERB
cana-2866	295	19	approach	approach	NOUN
cana-2866	295	20	for	for	ADP
cana-2866	295	21	classification	classification	NOUN
cana-2866	295	22	.	.	PUNCT
cana-2866	296	1	the	the	DET
cana-2866	296	2	wang	wang	PROPN
cana-2866	296	3	et	et	PROPN
cana-2866	296	4	al	al	PROPN
cana-2866	296	5	.	.	PUNCT
cana-2866	297	1	[	[	X
cana-2866	297	2	22	22	NUM
cana-2866	297	3	]	]	PUNCT
cana-2866	297	4	used	use	VERB
cana-2866	297	5	window	window	NOUN
cana-2866	297	6	sliding	slide	VERB
cana-2866	297	7	and	and	CCONJ
cana-2866	297	8	adaptive	adaptive	ADJ
cana-2866	297	9	mass	mass	NOUN
cana-2866	297	10	region	region	NOUN
cana-2866	297	11	techniques	technique	NOUN
cana-2866	297	12	for	for	ADP
cana-2866	297	13	preprocessing	preprocessing	NOUN
cana-2866	297	14	and	and	CCONJ
cana-2866	297	15	segmentation	segmentation	NOUN
cana-2866	297	16	respectively	respectively	ADV
cana-2866	297	17	and	and	CCONJ
cana-2866	297	18	finally	finally	ADV
cana-2866	297	19	used	use	VERB
cana-2866	297	20	cnn	cnn	PROPN
cana-2866	297	21	for	for	ADP
cana-2866	297	22	classification	classification	NOUN
cana-2866	297	23	.	.	PUNCT
cana-2866	298	1	r.	r.	PROPN
cana-2866	298	2	beeravolu[50	beeravolu[50	PROPN
cana-2866	298	3	]	]	PUNCT
cana-2866	298	4	used	use	VERB
cana-2866	298	5	rb	rb	NOUN
cana-2866	298	6	and	and	CCONJ
cana-2866	298	7	canny	canny	ADJ
cana-2866	298	8	edge	edge	NOUN
cana-2866	298	9	detection	detection	NOUN
cana-2866	298	10	by	by	ADP
cana-2866	298	11	employing	employ	VERB
cana-2866	298	12	cnn	cnn	PROPN
cana-2866	298	13	and	and	CCONJ
cana-2866	298	14	sun	sun	PROPN
cana-2866	298	15	et	et	PROPN
cana-2866	298	16	al	al	PROPN
cana-2866	298	17	.	.	PUNCT
cana-2866	299	1	[	[	X
cana-2866	299	2	15	15	NUM
cana-2866	299	3	]	]	PUNCT
cana-2866	299	4	interestingly	interestingly	ADV
cana-2866	299	5	not	not	PART
cana-2866	299	6	used	use	VERB
cana-2866	299	7	any	any	DET
cana-2866	299	8	preprocessing	preprocessing	NOUN
cana-2866	299	9	and	and	CCONJ
cana-2866	299	10	segmentation	segmentation	NOUN
cana-2866	299	11	and	and	CCONJ
cana-2866	299	12	directly	directly	ADV
cana-2866	299	13	given	give	VERB
cana-2866	299	14	images	image	NOUN
cana-2866	299	15	to	to	ADP
cana-2866	299	16	multiview	multiview	NOUN
cana-2866	299	17	convolution	convolution	NOUN
cana-2866	299	18	neural	neural	ADJ
cana-2866	299	19	networks	network	NOUN
cana-2866	299	20	.	.	PUNCT
cana-2866	300	1	communications	communication	NOUN
cana-2866	300	2	on	on	ADP
cana-2866	300	3	applied	apply	VERB
cana-2866	300	4	nonlinear	nonlinear	ADJ
cana-2866	300	5	analysis	analysis	NOUN
cana-2866	300	6	issn	issn	NOUN
cana-2866	300	7	:	:	PUNCT
cana-2866	300	8	1074	1074	NUM
cana-2866	300	9	-	-	PUNCT
cana-2866	300	10	133x	133x	NUM
cana-2866	300	11	vol	vol	NOUN
cana-2866	300	12	32	32	NUM
cana-2866	300	13	no	no	NOUN
cana-2866	300	14	.	.	PUNCT
cana-2866	301	1	4s	4s	NUM
cana-2866	301	2	(	(	PUNCT
cana-2866	301	3	2025	2025	NUM
cana-2866	301	4	)	)	PUNCT
cana-2866	301	5	493	493	NUM
cana-2866	302	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-2866	302	2	authors	author	NOUN
cana-2866	302	3	preprocessing	preprocesse	VERB
cana-2866	302	4	approach	approach	NOUN
cana-2866	302	5	segmentation	segmentation	NOUN
cana-2866	302	6	approach	approach	NOUN
cana-2866	302	7	breast	breast	NOUN
cana-2866	302	8	mass	mass	NOUN
cana-2866	302	9	classification	classification	NOUN
cana-2866	302	10	approach	approach	NOUN
cana-2866	302	11	dataset	dataset	VERB
cana-2866	302	12	used	use	VERB
cana-2866	302	13	total	total	ADJ
cana-2866	302	14	number	number	NOUN
cana-2866	302	15	of	of	ADP
cana-2866	302	16	images	image	NOUN
cana-2866	302	17	accuracy	accuracy	NOUN
cana-2866	302	18	sensitivity	sensitivity	NOUN
cana-2866	302	19	precision	precision	NOUN
cana-2866	302	20	fmeasure	fmeasure	PROPN
cana-2866	302	21	s.	s.	PROPN
cana-2866	302	22	j.	j.	PROPN
cana-2866	302	23	malebary	malebary	PROPN
cana-2866	302	24	et	et	PROPN
cana-2866	302	25	al	al	PROPN
cana-2866	302	26	.	.	PROPN
cana-2866	302	27	,	,	PUNCT
cana-2866	302	28	(	(	PUNCT
cana-2866	302	29	2021	2021	NUM
cana-2866	302	30	)	)	PUNCT
cana-2866	303	1	[	[	X
cana-2866	303	2	20	20	NUM
cana-2866	303	3	]	]	X
cana-2866	303	4	k	k	X
cana-2866	303	5	-	-	PUNCT
cana-2866	303	6	means	mean	VERB
cana-2866	303	7	long	long	ADJ
cana-2866	303	8	short	short	ADJ
cana-2866	303	9	-	-	PUNCT
cana-2866	303	10	term	term	NOUN
cana-2866	303	11	memory	memory	NOUN
cana-2866	303	12	network	network	NOUN
cana-2866	303	13	of	of	ADP
cana-2866	303	14	recurrent	recurrent	ADJ
cana-2866	303	15	neural	neural	ADJ
cana-2866	303	16	network	network	NOUN
cana-2866	303	17	(	(	PUNCT
cana-2866	303	18	rnn	rnn	PROPN
cana-2866	303	19	)	)	PUNCT
cana-2866	303	20	,	,	PUNCT
cana-2866	303	21	cnn	cnn	PROPN
cana-2866	303	22	,	,	PUNCT
cana-2866	303	23	boosting	boost	VERB
cana-2866	303	24	techniques	technique	NOUN
cana-2866	303	25	mias	mias	PROPN
cana-2866	303	26	ddsm	ddsm	VERB
cana-2866	303	27	322	322	NUM
cana-2866	303	28	digital	digital	ADJ
cana-2866	303	29	mammogram	mammogram	NOUN
cana-2866	303	30	images	image	NOUN
cana-2866	303	31	2620	2620	NUM
cana-2866	303	32	digital	digital	ADJ
cana-2866	303	33	mammogram	mammogram	NOUN
cana-2866	303	34	images	image	NOUN
cana-2866	303	35	0.95	0.95	NUM
cana-2866	303	36	0.96	0.96	NUM
cana-2866	303	37	0.97	0.97	NUM
cana-2866	303	38	0.97	0.97	NUM
cana-2866	303	39	0.98	0.98	NUM
cana-2866	303	40	0.97	0.97	NUM
cana-2866	303	41	z.	z.	PROPN
cana-2866	303	42	wang	wang	PROPN
cana-2866	303	43	et	et	PROPN
cana-2866	303	44	al	al	PROPN
cana-2866	303	45	.	.	PROPN
cana-2866	304	1	(	(	PUNCT
cana-2866	304	2	2019	2019	NUM
cana-2866	304	3	)	)	PUNCT
cana-2866	305	1	[	[	X
cana-2866	305	2	22	22	NUM
cana-2866	305	3	]	]	PUNCT
cana-2866	305	4	window	window	NOUN
cana-2866	305	5	sliding	slide	VERB
cana-2866	305	6	adaptive	adaptive	ADJ
cana-2866	305	7	mass	mass	NOUN
cana-2866	305	8	region	region	NOUN
cana-2866	305	9	detection	detection	NOUN
cana-2866	305	10	convolution	convolution	NOUN
cana-2866	305	11	neural	neural	ADJ
cana-2866	305	12	networks	network	NOUN
cana-2866	305	13	-	-	PUNCT
cana-2866	305	14	extreme	extreme	ADJ
cana-2866	305	15	learning	learning	NOUN
cana-2866	305	16	machine	machine	NOUN
cana-2866	305	17	image	image	NOUN
cana-2866	305	18	dataset	dataset	VERB
cana-2866	305	19	400	400	NUM
cana-2866	305	20	mammogram	mammogram	NOUN
cana-2866	305	21	images	image	NOUN
cana-2866	305	22	86.50	86.50	NUM
cana-2866	305	23	85.10	85.10	NUM
cana-2866	305	24	p.	p.	PROPN
cana-2866	305	25	e.	e.	PROPN
cana-2866	305	26	jebarani	jebarani	PROPN
cana-2866	305	27	et	et	PROPN
cana-2866	305	28	al	al	PROPN
cana-2866	305	29	.	.	PROPN
cana-2866	305	30	,	,	PUNCT
cana-2866	305	31	(	(	PUNCT
cana-2866	305	32	2021	2021	NUM
cana-2866	305	33	)	)	PUNCT
cana-2866	306	1	[	[	X
cana-2866	306	2	21	21	NUM
cana-2866	306	3	]	]	X
cana-2866	306	4	adaptive	adaptive	ADJ
cana-2866	306	5	median	median	ADJ
cana-2866	306	6	filter	filter	NOUN
cana-2866	306	7	k	k	NOUN
cana-2866	306	8	-	-	PUNCT
cana-2866	306	9	means	mean	NOUN
cana-2866	306	10	and	and	CCONJ
cana-2866	306	11	gmm	gmm	PROPN
cana-2866	306	12	mias	mias	PROPN
cana-2866	306	13	322	322	NUM
cana-2866	306	14	digital	digital	ADJ
cana-2866	306	15	mammogram	mammogram	NOUN
cana-2866	306	16	images	image	VERB
cana-2866	306	17	95.50	95.50	NUM
cana-2866	306	18	r.	r.	PROPN
cana-2866	306	19	beeravolu	beeravolu	PROPN
cana-2866	306	20	et	et	PROPN
cana-2866	306	21	al	al	PROPN
cana-2866	306	22	.	.	PROPN
cana-2866	306	23	,	,	PUNCT
cana-2866	306	24	(	(	PUNCT
cana-2866	306	25	2021	2021	NUM
cana-2866	306	26	)	)	PUNCT
cana-2866	307	1	[	[	X
cana-2866	307	2	50	50	NUM
cana-2866	307	3	]	]	PUNCT
cana-2866	307	4	rolling	roll	VERB
cana-2866	307	5	ball	ball	NOUN
cana-2866	307	6	algorithm	algorithm	NOUN
cana-2866	307	7	,	,	PUNCT
cana-2866	307	8	huang	huang	PROPN
cana-2866	307	9	's	's	PART
cana-2866	307	10	fuzzy	fuzzy	ADJ
cana-2866	307	11	thresholding	thresholde	VERB
cana-2866	307	12	canny	canny	ADJ
cana-2866	307	13	edge	edge	NOUN
cana-2866	307	14	detection	detection	NOUN
cana-2866	307	15	,	,	PUNCT
cana-2866	307	16	hough	hough	PROPN
cana-2866	307	17	's	's	PART
cana-2866	307	18	line	line	NOUN
cana-2866	307	19	transform	transform	NOUN
cana-2866	307	20	convolution	convolution	NOUN
cana-2866	307	21	neural	neural	ADJ
cana-2866	307	22	networks	network	NOUN
cana-2866	307	23	mias	mias	PROPN
cana-2866	307	24	322	322	NUM
cana-2866	307	25	digital	digital	ADJ
cana-2866	307	26	mammogram	mammogram	NOUN
cana-2866	307	27	images	image	NOUN
cana-2866	307	28	-	-	PUNCT
cana-2866	307	29	communications	communication	NOUN
cana-2866	307	30	on	on	ADP
cana-2866	307	31	applied	apply	VERB
cana-2866	307	32	nonlinear	nonlinear	ADJ
cana-2866	307	33	analysis	analysis	NOUN
cana-2866	307	34	issn	issn	NOUN
cana-2866	307	35	:	:	PUNCT
cana-2866	307	36	1074	1074	NUM
cana-2866	307	37	-	-	PUNCT
cana-2866	307	38	133x	133x	NUM
cana-2866	307	39	vol	vol	NOUN
cana-2866	307	40	32	32	NUM
cana-2866	307	41	no	no	NOUN
cana-2866	307	42	.	.	PUNCT
cana-2866	308	1	4s	4s	NUM
cana-2866	308	2	(	(	PUNCT
cana-2866	308	3	2025	2025	NUM
cana-2866	308	4	)	)	PUNCT
cana-2866	309	1	494	494	NUM
cana-2866	309	2	https://internationalpubls.com	https://internationalpubls.com	X
cana-2866	309	3	sun	sun	PROPN
cana-2866	309	4	et	et	PROPN
cana-2866	309	5	al	al	PROPN
cana-2866	309	6	.	.	PROPN
cana-2866	309	7	,	,	PUNCT
cana-2866	309	8	(	(	PUNCT
cana-2866	309	9	2019	2019	NUM
cana-2866	309	10	)	)	PUNCT
cana-2866	310	1	[	[	X
cana-2866	310	2	15	15	NUM
cana-2866	310	3	]	]	X
cana-2866	310	4	muti	muti	NOUN
cana-2866	310	5	view	view	NOUN
cana-2866	310	6	convolution	convolution	NOUN
cana-2866	310	7	neural	neural	ADJ
cana-2866	310	8	network	network	NOUN
cana-2866	310	9	mias	mias	PROPN
cana-2866	310	10	ddsm	ddsm	PROPN
cana-2866	310	11	322	322	NUM
cana-2866	310	12	digital	digital	ADJ
cana-2866	310	13	mammogram	mammogram	NOUN
cana-2866	310	14	images	image	NOUN
cana-2866	310	15	1445	1445	NUM
cana-2866	310	16	images	image	NOUN
cana-2866	310	17	0.63	0.63	NUM
cana-2866	310	18	proposed	propose	VERB
cana-2866	310	19	rolling	roll	VERB
cana-2866	310	20	ball	ball	NOUN
cana-2866	310	21	with	with	ADP
cana-2866	310	22	unsharp	unsharp	ADJ
cana-2866	310	23	k	k	ADJ
cana-2866	310	24	-	-	PUNCT
cana-2866	310	25	means	means	NOUN
cana-2866	310	26	convolution	convolution	NOUN
cana-2866	310	27	neural	neural	ADJ
cana-2866	310	28	networks	network	NOUN
cana-2866	310	29	mias	mias	PROPN
cana-2866	310	30	322	322	NUM
cana-2866	310	31	digital	digital	ADJ
cana-2866	310	32	mammogram	mammogram	NOUN
cana-2866	310	33	images	image	VERB
cana-2866	310	34	82	82	NUM
cana-2866	310	35	0.83	0.83	NUM
cana-2866	310	36	0.82	0.82	NUM
cana-2866	310	37	0.83	0.83	NUM
cana-2866	310	38	rolling	rolling	NOUN
cana-2866	310	39	ball	ball	NOUN
cana-2866	310	40	with	with	ADP
cana-2866	310	41	clahe	clahe	PROPN
cana-2866	310	42	k	k	PROPN
cana-2866	310	43	-	-	PUNCT
cana-2866	310	44	means	mean	VERB
cana-2866	310	45	convolution	convolution	NOUN
cana-2866	310	46	neural	neural	ADJ
cana-2866	310	47	networks	network	NOUN
cana-2866	310	48	mias	mias	PROPN
cana-2866	310	49	322	322	NUM
cana-2866	310	50	digital	digital	ADJ
cana-2866	310	51	mammogram	mammogram	NOUN
cana-2866	310	52	images	image	NOUN
cana-2866	310	53	88	88	NUM
cana-2866	310	54	0.89	0.89	NUM
cana-2866	310	55	0.91	0.91	NUM
cana-2866	310	56	0.90	0.90	NUM
cana-2866	310	57	table	table	NOUN
cana-2866	310	58	7	7	NUM
cana-2866	310	59	.	.	PUNCT
cana-2866	310	60	comparison	comparison	NOUN
cana-2866	310	61	of	of	ADP
cana-2866	310	62	breast	breast	NOUN
cana-2866	310	63	mass	mass	NOUN
cana-2866	310	64	classification	classification	NOUN
cana-2866	310	65	accuracy	accuracy	NOUN
cana-2866	310	66	(	(	PUNCT
cana-2866	310	67	in	in	ADP
cana-2866	310	68	%	%	NOUN
cana-2866	310	69	)	)	PUNCT
cana-2866	310	70	based	base	VERB
cana-2866	310	71	on	on	ADP
cana-2866	310	72	combination	combination	NOUN
cana-2866	310	73	of	of	ADP
cana-2866	310	74	preprocessing	preprocesse	VERB
cana-2866	310	75	approach	approach	NOUN
cana-2866	310	76	,	,	PUNCT
cana-2866	310	77	segmentation	segmentation	NOUN
cana-2866	310	78	approach	approach	NOUN
cana-2866	310	79	by	by	ADP
cana-2866	310	80	various	various	ADJ
cana-2866	310	81	classification	classification	NOUN
cana-2866	310	82	methods	method	NOUN
cana-2866	310	83	communications	communication	NOUN
cana-2866	310	84	on	on	ADP
cana-2866	310	85	applied	apply	VERB
cana-2866	310	86	nonlinear	nonlinear	ADJ
cana-2866	310	87	analysis	analysis	NOUN
cana-2866	310	88	issn	issn	NOUN
cana-2866	310	89	:	:	PUNCT
cana-2866	310	90	1074	1074	NUM
cana-2866	310	91	-	-	PUNCT
cana-2866	310	92	133x	133x	NUM
cana-2866	310	93	vol	vol	NOUN
cana-2866	310	94	32	32	NUM
cana-2866	311	1	no	no	NOUN
cana-2866	311	2	.	.	PUNCT
cana-2866	312	1	4s	4s	NUM
cana-2866	312	2	(	(	PUNCT
cana-2866	312	3	2025	2025	NUM
cana-2866	312	4	)	)	PUNCT
cana-2866	312	5	495	495	NUM
cana-2866	312	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2866	312	7	the	the	DET
cana-2866	312	8	graphical	graphical	ADJ
cana-2866	312	9	representation	representation	NOUN
cana-2866	312	10	of	of	ADP
cana-2866	312	11	the	the	DET
cana-2866	312	12	performance	performance	NOUN
cana-2866	312	13	metrics	metric	NOUN
cana-2866	312	14	of	of	ADP
cana-2866	312	15	existing	exist	VERB
cana-2866	312	16	and	and	CCONJ
cana-2866	312	17	proposed	propose	VERB
cana-2866	312	18	systems	system	NOUN
cana-2866	312	19	is	be	AUX
cana-2866	312	20	shown	show	VERB
cana-2866	312	21	in	in	ADP
cana-2866	312	22	figure	figure	NOUN
cana-2866	312	23	8	8	NUM
cana-2866	312	24	.	.	PUNCT
cana-2866	313	1	figure	figure	NOUN
cana-2866	313	2	8	8	NUM
cana-2866	313	3	.	.	PUNCT
cana-2866	314	1	performance	performance	NOUN
cana-2866	314	2	metrics	metric	NOUN
cana-2866	314	3	comparison	comparison	NOUN
cana-2866	314	4	of	of	ADP
cana-2866	314	5	proposed	propose	VERB
cana-2866	314	6	and	and	CCONJ
cana-2866	314	7	existing	exist	VERB
cana-2866	314	8	systems	system	NOUN
cana-2866	314	9	.	.	PUNCT
cana-2866	315	1	discussion	discussion	NOUN
cana-2866	315	2	the	the	DET
cana-2866	315	3	goal	goal	NOUN
cana-2866	315	4	of	of	ADP
cana-2866	315	5	this	this	DET
cana-2866	315	6	work	work	NOUN
cana-2866	315	7	is	be	AUX
cana-2866	315	8	to	to	PART
cana-2866	315	9	address	address	VERB
cana-2866	315	10	the	the	DET
cana-2866	315	11	classification	classification	NOUN
cana-2866	315	12	challenge	challenge	NOUN
cana-2866	315	13	on	on	ADP
cana-2866	315	14	breast	breast	NOUN
cana-2866	315	15	mammography	mammography	NOUN
cana-2866	315	16	image	image	NOUN
cana-2866	315	17	datasets	dataset	NOUN
cana-2866	315	18	by	by	ADP
cana-2866	315	19	investigating	investigate	VERB
cana-2866	315	20	ways	way	NOUN
cana-2866	315	21	to	to	PART
cana-2866	315	22	improve	improve	VERB
cana-2866	315	23	image	image	NOUN
cana-2866	315	24	quality	quality	NOUN
cana-2866	315	25	.	.	PUNCT
cana-2866	316	1	expanding	expand	VERB
cana-2866	316	2	upon	upon	SCONJ
cana-2866	316	3	research	research	NOUN
cana-2866	316	4	[	[	X
cana-2866	316	5	21	21	NUM
cana-2866	316	6	]	]	X
cana-2866	316	7	,	,	PUNCT
cana-2866	316	8	a	a	DET
cana-2866	316	9	k	k	NOUN
cana-2866	316	10	-	-	PUNCT
cana-2866	316	11	means	mean	NOUN
cana-2866	316	12	and	and	CCONJ
cana-2866	316	13	a	a	DET
cana-2866	316	14	gaussian	gaussian	ADJ
cana-2866	316	15	mixture	mixture	NOUN
cana-2866	316	16	model	model	NOUN
cana-2866	316	17	(	(	PUNCT
cana-2866	316	18	gmm	gmm	NOUN
cana-2866	316	19	)	)	PUNCT
cana-2866	316	20	are	be	AUX
cana-2866	316	21	suggested	suggest	VERB
cana-2866	316	22	to	to	PART
cana-2866	316	23	acquire	acquire	VERB
cana-2866	316	24	more	more	ADV
cana-2866	316	25	detailed	detailed	ADJ
cana-2866	316	26	image	image	NOUN
cana-2866	316	27	characteristics	characteristic	NOUN
cana-2866	316	28	,	,	PUNCT
cana-2866	316	29	hence	hence	ADV
cana-2866	316	30	exhibiting	exhibit	VERB
cana-2866	316	31	enhanced	enhanced	ADJ
cana-2866	316	32	efficacy	efficacy	NOUN
cana-2866	316	33	in	in	ADP
cana-2866	316	34	the	the	DET
cana-2866	316	35	classification	classification	NOUN
cana-2866	316	36	of	of	ADP
cana-2866	316	37	benign	benign	ADJ
cana-2866	316	38	,	,	PUNCT
cana-2866	316	39	normal	normal	ADJ
cana-2866	316	40	and	and	CCONJ
cana-2866	316	41	malignant	malignant	ADJ
cana-2866	316	42	tumors	tumor	NOUN
cana-2866	316	43	.	.	PUNCT
cana-2866	317	1	the	the	DET
cana-2866	317	2	mias	mias	PROPN
cana-2866	317	3	dataset	dataset	PROPN
cana-2866	317	4	was	be	AUX
cana-2866	317	5	used	use	VERB
cana-2866	317	6	to	to	PART
cana-2866	317	7	assess	assess	VERB
cana-2866	317	8	and	and	CCONJ
cana-2866	317	9	validate	validate	VERB
cana-2866	317	10	these	these	DET
cana-2866	317	11	benefits	benefit	NOUN
cana-2866	317	12	.	.	PUNCT
cana-2866	318	1	the	the	DET
cana-2866	318	2	impulse	impulse	ADJ
cana-2866	318	3	noise	noise	NOUN
cana-2866	318	4	and	and	CCONJ
cana-2866	318	5	speckle	speckle	NOUN
cana-2866	318	6	were	be	AUX
cana-2866	318	7	eliminated	eliminate	VERB
cana-2866	318	8	from	from	ADP
cana-2866	318	9	the	the	DET
cana-2866	318	10	images	image	NOUN
cana-2866	318	11	using	use	VERB
cana-2866	318	12	an	an	DET
cana-2866	318	13	adaptive	adaptive	ADJ
cana-2866	318	14	median	median	ADJ
cana-2866	318	15	filter	filter	NOUN
cana-2866	318	16	technique	technique	NOUN
cana-2866	318	17	.	.	PUNCT
cana-2866	319	1	the	the	DET
cana-2866	319	2	region	region	NOUN
cana-2866	319	3	or	or	CCONJ
cana-2866	319	4	seed	seed	NOUN
cana-2866	319	5	points	point	NOUN
cana-2866	319	6	are	be	AUX
cana-2866	319	7	effectively	effectively	ADV
cana-2866	319	8	divided	divide	VERB
cana-2866	319	9	into	into	ADP
cana-2866	319	10	several	several	ADJ
cana-2866	319	11	sub	sub	NOUN
cana-2866	319	12	-	-	NOUN
cana-2866	319	13	instances	instance	NOUN
cana-2866	319	14	using	use	VERB
cana-2866	319	15	the	the	DET
cana-2866	319	16	labeled	label	VERB
cana-2866	319	17	characteristics	characteristic	NOUN
cana-2866	319	18	of	of	ADP
cana-2866	319	19	both	both	CCONJ
cana-2866	319	20	k	k	NOUN
cana-2866	319	21	-	-	PUNCT
cana-2866	319	22	means	mean	NOUN
cana-2866	319	23	and	and	CCONJ
cana-2866	319	24	gmm	gmm	X
cana-2866	319	25	in	in	ADP
cana-2866	319	26	the	the	DET
cana-2866	319	27	suggested	suggest	VERB
cana-2866	319	28	hybrid	hybrid	ADJ
cana-2866	319	29	technique	technique	NOUN
cana-2866	319	30	.	.	PUNCT
cana-2866	320	1	breast	breast	NOUN
cana-2866	320	2	tumors	tumor	NOUN
cana-2866	320	3	are	be	AUX
cana-2866	320	4	segmented	segment	VERB
cana-2866	320	5	by	by	ADP
cana-2866	320	6	the	the	DET
cana-2866	320	7	k	k	NOUN
cana-2866	320	8	-	-	PUNCT
cana-2866	320	9	means	means	PROPN
cana-2866	320	10	and	and	CCONJ
cana-2866	320	11	gmm	gmm	PROPN
cana-2866	320	12	models	model	NOUN
cana-2866	320	13	,	,	PUNCT
cana-2866	320	14	which	which	PRON
cana-2866	320	15	also	also	ADV
cana-2866	320	16	classify	classify	VERB
cana-2866	320	17	the	the	DET
cana-2866	320	18	images	image	NOUN
cana-2866	320	19	into	into	ADP
cana-2866	320	20	benign	benign	ADJ
cana-2866	320	21	,	,	PUNCT
cana-2866	320	22	normal	normal	ADJ
cana-2866	320	23	,	,	PUNCT
cana-2866	320	24	and	and	CCONJ
cana-2866	320	25	malignant	malignant	ADJ
cana-2866	320	26	groups	group	NOUN
cana-2866	320	27	.	.	PUNCT
cana-2866	321	1	however	however	ADV
cana-2866	321	2	,	,	PUNCT
cana-2866	321	3	there	there	PRON
cana-2866	321	4	is	be	VERB
cana-2866	321	5	not	not	PART
cana-2866	321	6	as	as	ADV
cana-2866	321	7	much	much	ADJ
cana-2866	321	8	of	of	ADP
cana-2866	321	9	a	a	DET
cana-2866	321	10	performance	performance	NOUN
cana-2866	321	11	gain	gain	NOUN
cana-2866	321	12	in	in	ADP
cana-2866	321	13	the	the	DET
cana-2866	321	14	classification	classification	NOUN
cana-2866	321	15	accuracy	accuracy	NOUN
cana-2866	321	16	,	,	PUNCT
cana-2866	321	17	which	which	PRON
cana-2866	321	18	is	be	AUX
cana-2866	321	19	probably	probably	ADV
cana-2866	321	20	because	because	SCONJ
cana-2866	321	21	of	of	ADP
cana-2866	321	22	the	the	DET
cana-2866	321	23	low	low	ADJ
cana-2866	321	24	image	image	NOUN
cana-2866	321	25	quality	quality	NOUN
cana-2866	321	26	,	,	PUNCT
cana-2866	321	27	because	because	SCONJ
cana-2866	321	28	in	in	ADP
cana-2866	321	29	the	the	DET
cana-2866	321	30	adaptive	adaptive	ADJ
cana-2866	321	31	median	median	ADJ
cana-2866	321	32	filter	filter	NOUN
cana-2866	321	33	,	,	PUNCT
cana-2866	321	34	the	the	DET
cana-2866	321	35	median	median	ADJ
cana-2866	321	36	value	value	NOUN
cana-2866	321	37	within	within	ADP
cana-2866	321	38	variously	variously	ADV
cana-2866	321	39	sized	sized	ADJ
cana-2866	321	40	windows	window	NOUN
cana-2866	321	41	for	for	ADP
cana-2866	321	42	every	every	DET
cana-2866	321	43	pixel	pixel	NOUN
cana-2866	321	44	,	,	PUNCT
cana-2866	321	45	it	it	PRON
cana-2866	321	46	adjusts	adjust	VERB
cana-2866	321	47	to	to	ADP
cana-2866	321	48	the	the	DET
cana-2866	321	49	local	local	ADJ
cana-2866	321	50	noise	noise	NOUN
cana-2866	321	51	level	level	NOUN
cana-2866	321	52	.	.	PUNCT
cana-2866	322	1	particularly	particularly	ADV
cana-2866	322	2	when	when	SCONJ
cana-2866	322	3	working	work	VERB
cana-2866	322	4	with	with	ADP
cana-2866	322	5	large	large	ADJ
cana-2866	322	6	images	image	NOUN
cana-2866	322	7	,	,	PUNCT
cana-2866	322	8	this	this	PRON
cana-2866	322	9	can	can	AUX
cana-2866	322	10	take	take	VERB
cana-2866	322	11	a	a	DET
cana-2866	322	12	while	while	NOUN
cana-2866	322	13	and	and	CCONJ
cana-2866	322	14	to	to	PART
cana-2866	322	15	get	get	VERB
cana-2866	322	16	a	a	DET
cana-2866	322	17	suitable	suitable	ADJ
cana-2866	322	18	median	median	ADJ
cana-2866	322	19	value	value	NOUN
cana-2866	322	20	in	in	ADP
cana-2866	322	21	images	image	NOUN
cana-2866	322	22	with	with	ADP
cana-2866	322	23	extremely	extremely	ADV
cana-2866	322	24	high	high	ADJ
cana-2866	322	25	noise	noise	NOUN
cana-2866	322	26	density	density	NOUN
cana-2866	322	27	and	and	CCONJ
cana-2866	322	28	the	the	DET
cana-2866	322	29	filter	filter	NOUN
cana-2866	322	30	may	may	AUX
cana-2866	322	31	need	need	VERB
cana-2866	322	32	to	to	PART
cana-2866	322	33	greatly	greatly	ADV
cana-2866	322	34	enlarge	enlarge	VERB
cana-2866	322	35	the	the	DET
cana-2866	322	36	window	window	NOUN
cana-2866	322	37	size	size	NOUN
cana-2866	322	38	.	.	PUNCT
cana-2866	323	1	this	this	PRON
cana-2866	323	2	may	may	AUX
cana-2866	323	3	result	result	VERB
cana-2866	323	4	in	in	ADP
cana-2866	323	5	blurring	blurring	NOUN
cana-2866	323	6	that	that	PRON
cana-2866	323	7	resembles	resemble	VERB
cana-2866	323	8	the	the	DET
cana-2866	323	9	effect	effect	NOUN
cana-2866	323	10	of	of	ADP
cana-2866	323	11	a	a	DET
cana-2866	323	12	typical	typical	ADJ
cana-2866	323	13	median	median	ADJ
cana-2866	323	14	filter	filter	NOUN
cana-2866	323	15	with	with	ADP
cana-2866	323	16	a	a	DET
cana-2866	323	17	large	large	ADJ
cana-2866	323	18	window	window	NOUN
cana-2866	323	19	size	size	NOUN
cana-2866	323	20	,	,	PUNCT
cana-2866	323	21	decreasing	decrease	VERB
cana-2866	323	22	the	the	DET
cana-2866	323	23	filter	filter	NOUN
cana-2866	323	24	's	's	PART
cana-2866	323	25	ability	ability	NOUN
cana-2866	323	26	to	to	PART
cana-2866	323	27	preserve	preserve	VERB
cana-2866	323	28	edges	edge	NOUN
cana-2866	323	29	and	and	CCONJ
cana-2866	323	30	fine	fine	ADJ
cana-2866	323	31	details	detail	NOUN
cana-2866	323	32	.	.	PUNCT
cana-2866	324	1	therefore	therefore	ADV
cana-2866	324	2	,	,	PUNCT
cana-2866	324	3	to	to	PART
cana-2866	324	4	overcome	overcome	VERB
cana-2866	324	5	these	these	DET
cana-2866	324	6	problems	problem	NOUN
cana-2866	324	7	,	,	PUNCT
cana-2866	324	8	our	our	PRON
cana-2866	324	9	suggested	suggest	VERB
cana-2866	324	10	model	model	NOUN
cana-2866	324	11	is	be	AUX
cana-2866	324	12	purposefully	purposefully	ADV
cana-2866	324	13	made	make	VERB
cana-2866	324	14	to	to	PART
cana-2866	324	15	improve	improve	VERB
cana-2866	324	16	the	the	DET
cana-2866	324	17	quality	quality	NOUN
cana-2866	324	18	of	of	ADP
cana-2866	324	19	images	image	NOUN
cana-2866	324	20	on	on	ADP
cana-2866	324	21	two	two	NUM
cana-2866	324	22	distinct	distinct	ADJ
cana-2866	324	23	datasets	dataset	NOUN
cana-2866	324	24	of	of	ADP
cana-2866	324	25	mammography	mammography	NOUN
cana-2866	324	26	images	image	NOUN
cana-2866	324	27	.	.	PUNCT
cana-2866	325	1	the	the	DET
cana-2866	325	2	rolling	rolling	ADJ
cana-2866	325	3	ball	ball	NOUN
cana-2866	325	4	method	method	NOUN
cana-2866	325	5	was	be	AUX
cana-2866	325	6	utilized	utilize	VERB
cana-2866	325	7	to	to	PART
cana-2866	325	8	eliminate	eliminate	VERB
cana-2866	325	9	uneven	uneven	ADJ
cana-2866	325	10	lighting	lighting	NOUN
cana-2866	325	11	and	and	CCONJ
cana-2866	325	12	background	background	NOUN
cana-2866	325	13	noise	noise	NOUN
cana-2866	325	14	,	,	PUNCT
cana-2866	325	15	while	while	SCONJ
cana-2866	325	16	clahe	clahe	PROPN
cana-2866	325	17	was	be	AUX
cana-2866	325	18	employed	employ	VERB
cana-2866	325	19	to	to	PART
cana-2866	325	20	improve	improve	VERB
cana-2866	325	21	local	local	ADJ
cana-2866	325	22	contrast	contrast	NOUN
cana-2866	325	23	.	.	PUNCT
cana-2866	326	1	the	the	DET
cana-2866	326	2	resulting	result	VERB
cana-2866	326	3	design	design	NOUN
cana-2866	326	4	is	be	AUX
cana-2866	326	5	extremely	extremely	ADV
cana-2866	326	6	competitive	competitive	ADJ
cana-2866	326	7	,	,	PUNCT
cana-2866	326	8	outperforming	outperform	VERB
cana-2866	326	9	other	other	ADJ
cana-2866	326	10	classifiers	classifier	NOUN
cana-2866	326	11	on	on	ADP
cana-2866	326	12	various	various	ADJ
cana-2866	326	13	image	image	NOUN
cana-2866	326	14	enhancement	enhancement	NOUN
cana-2866	326	15	techniques	technique	NOUN
cana-2866	326	16	in	in	ADP
cana-2866	326	17	terms	term	NOUN
cana-2866	326	18	of	of	ADP
cana-2866	326	19	classification	classification	NOUN
cana-2866	326	20	performance	performance	NOUN
cana-2866	326	21	.	.	PUNCT
cana-2866	327	1	although	although	SCONJ
cana-2866	327	2	adaptive	adaptive	ADJ
cana-2866	327	3	median	median	ADJ
cana-2866	327	4	filtering	filtering	NOUN
cana-2866	327	5	works	work	VERB
cana-2866	327	6	well	well	ADV
cana-2866	327	7	for	for	ADP
cana-2866	327	8	reducing	reduce	VERB
cana-2866	327	9	noise	noise	NOUN
cana-2866	327	10	,	,	PUNCT
cana-2866	327	11	it	it	PRON
cana-2866	327	12	is	be	AUX
cana-2866	327	13	not	not	PART
cana-2866	327	14	as	as	ADV
cana-2866	327	15	effective	effective	ADJ
cana-2866	327	16	for	for	ADP
cana-2866	327	17	correcting	correct	VERB
cana-2866	327	18	illumination	illumination	NOUN
cana-2866	327	19	,	,	PUNCT
cana-2866	327	20	handling	handle	VERB
cana-2866	327	21	large	large	ADJ
cana-2866	327	22	-	-	PUNCT
cana-2866	327	23	scale	scale	NOUN
cana-2866	327	24	artifacts	artifact	NOUN
cana-2866	327	25	,	,	PUNCT
cana-2866	327	26	or	or	CCONJ
cana-2866	327	27	background	background	NOUN
cana-2866	327	28	subtraction	subtraction	NOUN
cana-2866	327	29	.	.	PUNCT
cana-2866	328	1	sensitivity	sensitivity	NOUN
cana-2866	328	2	and	and	CCONJ
cana-2866	328	3	precision	precision	NOUN
cana-2866	328	4	are	be	AUX
cana-2866	328	5	not	not	PART
cana-2866	328	6	considered	consider	VERB
cana-2866	328	7	which	which	PRON
cana-2866	328	8	is	be	AUX
cana-2866	328	9	significant	significant	ADJ
cana-2866	328	10	to	to	PART
cana-2866	328	11	reduce	reduce	VERB
cana-2866	328	12	false	false	ADJ
cana-2866	328	13	negative	negative	ADJ
cana-2866	328	14	and	and	CCONJ
cana-2866	328	15	false	false	ADJ
cana-2866	328	16	positive	positive	ADJ
cana-2866	328	17	.	.	PUNCT
cana-2866	329	1	communications	communication	NOUN
cana-2866	329	2	on	on	ADP
cana-2866	329	3	applied	apply	VERB
cana-2866	329	4	nonlinear	nonlinear	ADJ
cana-2866	329	5	analysis	analysis	NOUN
cana-2866	329	6	issn	issn	NOUN
cana-2866	329	7	:	:	PUNCT
cana-2866	329	8	1074	1074	NUM
cana-2866	329	9	-	-	PUNCT
cana-2866	329	10	133x	133x	NUM
cana-2866	329	11	vol	vol	NOUN
cana-2866	329	12	32	32	NUM
cana-2866	329	13	no	no	NOUN
cana-2866	329	14	.	.	PUNCT
cana-2866	330	1	4s	4s	NUM
cana-2866	330	2	(	(	PUNCT
cana-2866	330	3	2025	2025	NUM
cana-2866	330	4	)	)	PUNCT
cana-2866	330	5	496	496	NUM
cana-2866	330	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2866	330	7	as	as	ADP
cana-2866	330	8	fig	fig	NOUN
cana-2866	330	9	.	.	PUNCT
cana-2866	331	1	1	1	NUM
cana-2866	331	2	shows	show	NOUN
cana-2866	331	3	,	,	PUNCT
cana-2866	331	4	the	the	DET
cana-2866	331	5	original	original	ADJ
cana-2866	331	6	mammography	mammography	NOUN
cana-2866	331	7	images	image	NOUN
cana-2866	331	8	which	which	PRON
cana-2866	331	9	are	be	AUX
cana-2866	331	10	of	of	ADP
cana-2866	331	11	low	low	ADJ
cana-2866	331	12	resolution	resolution	NOUN
cana-2866	331	13	,	,	PUNCT
cana-2866	331	14	uneven	uneven	ADJ
cana-2866	331	15	illumination	illumination	NOUN
cana-2866	331	16	and	and	CCONJ
cana-2866	331	17	also	also	ADV
cana-2866	331	18	containing	contain	VERB
cana-2866	331	19	noise	noise	NOUN
cana-2866	331	20	.	.	PUNCT
cana-2866	332	1	the	the	DET
cana-2866	332	2	images	image	NOUN
cana-2866	332	3	denoised	denoise	VERB
cana-2866	332	4	with	with	ADP
cana-2866	332	5	rolling	rolling	ADJ
cana-2866	332	6	ball	ball	NOUN
cana-2866	332	7	algorithm	algorithm	NOUN
cana-2866	332	8	displayed	display	VERB
cana-2866	332	9	in	in	ADP
cana-2866	332	10	fig	fig	NOUN
cana-2866	332	11	.	.	PUNCT
cana-2866	333	1	2	2	NUM
cana-2866	333	2	,	,	PUNCT
cana-2866	333	3	shows	show	VERB
cana-2866	333	4	that	that	SCONJ
cana-2866	333	5	the	the	DET
cana-2866	333	6	situation	situation	NOUN
cana-2866	333	7	is	be	AUX
cana-2866	333	8	significantly	significantly	ADV
cana-2866	333	9	better	well	ADJ
cana-2866	333	10	.	.	PUNCT
cana-2866	334	1	we	we	PRON
cana-2866	334	2	also	also	ADV
cana-2866	334	3	compared	compare	VERB
cana-2866	334	4	and	and	CCONJ
cana-2866	334	5	assessed	assess	VERB
cana-2866	334	6	the	the	DET
cana-2866	334	7	contrast	contrast	NOUN
cana-2866	334	8	enhancement	enhancement	NOUN
cana-2866	334	9	performance	performance	NOUN
cana-2866	334	10	of	of	ADP
cana-2866	334	11	the	the	DET
cana-2866	334	12	clahe	clahe	NOUN
cana-2866	334	13	and	and	CCONJ
cana-2866	334	14	unsharp	unsharp	ADJ
cana-2866	334	15	methods	method	NOUN
cana-2866	334	16	.	.	PUNCT
cana-2866	335	1	this	this	DET
cana-2866	335	2	research	research	NOUN
cana-2866	335	3	found	find	VERB
cana-2866	335	4	clahe	clahe	PROPN
cana-2866	335	5	has	have	AUX
cana-2866	335	6	outperformed	outperform	VERB
cana-2866	335	7	unsharp	unsharp	ADJ
cana-2866	335	8	method	method	NOUN
cana-2866	335	9	.	.	PUNCT
cana-2866	336	1	the	the	DET
cana-2866	336	2	proposed	propose	VERB
cana-2866	336	3	work	work	NOUN
cana-2866	336	4	used	use	VERB
cana-2866	336	5	clahe	clahe	NOUN
cana-2866	336	6	with	with	ADP
cana-2866	336	7	the	the	DET
cana-2866	336	8	tile	tile	NOUN
cana-2866	336	9	size	size	NOUN
cana-2866	336	10	8	8	NUM
cana-2866	336	11	x	x	SYM
cana-2866	336	12	8	8	NUM
cana-2866	336	13	and	and	CCONJ
cana-2866	336	14	clip	clip	NOUN
cana-2866	336	15	limit	limit	NOUN
cana-2866	336	16	3	3	X
cana-2866	336	17	.	.	PUNCT
cana-2866	337	1	this	this	DET
cana-2866	337	2	research	research	NOUN
cana-2866	337	3	has	have	AUX
cana-2866	337	4	shown	show	VERB
cana-2866	337	5	sharp	sharp	ADJ
cana-2866	337	6	improvements	improvement	NOUN
cana-2866	337	7	in	in	ADP
cana-2866	337	8	the	the	DET
cana-2866	337	9	image	image	NOUN
cana-2866	337	10	contrast	contrast	NOUN
cana-2866	337	11	using	use	VERB
cana-2866	337	12	clahe	clahe	PROPN
cana-2866	337	13	on	on	ADP
cana-2866	337	14	denoised	denoise	VERB
cana-2866	337	15	images	image	NOUN
cana-2866	337	16	which	which	PRON
cana-2866	337	17	are	be	AUX
cana-2866	337	18	generated	generate	VERB
cana-2866	337	19	by	by	ADP
cana-2866	337	20	rolling	roll	VERB
cana-2866	337	21	ball	ball	NOUN
cana-2866	337	22	method	method	NOUN
cana-2866	337	23	and	and	CCONJ
cana-2866	337	24	quantitatively	quantitatively	ADV
cana-2866	337	25	demonstrate	demonstrate	VERB
cana-2866	337	26	the	the	DET
cana-2866	337	27	improvement	improvement	NOUN
cana-2866	337	28	in	in	ADP
cana-2866	337	29	contrast	contrast	NOUN
cana-2866	337	30	as	as	SCONJ
cana-2866	337	31	shown	show	VERB
cana-2866	337	32	in	in	ADP
cana-2866	337	33	fig	fig	NOUN
cana-2866	337	34	.	.	PUNCT
cana-2866	338	1	3	3	X
cana-2866	338	2	.	.	X
cana-2866	338	3	tables	table	NOUN
cana-2866	338	4	2	2	NUM
cana-2866	338	5	to	to	PART
cana-2866	338	6	6	6	NUM
cana-2866	338	7	further	far	ADV
cana-2866	338	8	demonstrate	demonstrate	VERB
cana-2866	338	9	that	that	SCONJ
cana-2866	338	10	the	the	DET
cana-2866	338	11	suggested	suggest	VERB
cana-2866	338	12	system	system	NOUN
cana-2866	338	13	performs	perform	VERB
cana-2866	338	14	better	well	ADV
cana-2866	338	15	on	on	ADP
cana-2866	338	16	both	both	DET
cana-2866	338	17	datasets	dataset	NOUN
cana-2866	338	18	in	in	ADP
cana-2866	338	19	terms	term	NOUN
cana-2866	338	20	of	of	ADP
cana-2866	338	21	accuracy	accuracy	NOUN
cana-2866	338	22	,	,	PUNCT
cana-2866	338	23	sensitivity	sensitivity	NOUN
cana-2866	338	24	,	,	PUNCT
cana-2866	338	25	precision	precision	NOUN
cana-2866	338	26	,	,	PUNCT
cana-2866	338	27	and	and	CCONJ
cana-2866	338	28	f	f	X
cana-2866	338	29	-	-	PUNCT
cana-2866	338	30	measure	measure	NOUN
cana-2866	338	31	.	.	PUNCT
cana-2866	339	1	sharaf	sharaf	PROPN
cana-2866	339	2	j.	j.	PROPN
cana-2866	339	3	malebary	malebary	PROPN
cana-2866	339	4	et	et	PROPN
cana-2866	339	5	al	al	PROPN
cana-2866	339	6	.	.	PUNCT
cana-2866	340	1	[	[	X
cana-2866	340	2	1	1	X
cana-2866	340	3	]	]	PUNCT
cana-2866	340	4	achieved	achieve	VERB
cana-2866	340	5	a	a	DET
cana-2866	340	6	performance	performance	NOUN
cana-2866	340	7	improvement	improvement	NOUN
cana-2866	340	8	of	of	ADP
cana-2866	340	9	on	on	ADP
cana-2866	340	10	their	their	PRON
cana-2866	340	11	cnn	cnn	NOUN
cana-2866	340	12	-	-	PUNCT
cana-2866	340	13	rnnlstm	rnnlstm	NOUN
cana-2866	340	14	model	model	NOUN
cana-2866	340	15	through	through	ADP
cana-2866	340	16	a	a	DET
cana-2866	340	17	k	k	NOUN
cana-2866	340	18	-	-	PUNCT
cana-2866	340	19	means	mean	VERB
cana-2866	340	20	data	datum	NOUN
cana-2866	340	21	segmentation	segmentation	NOUN
cana-2866	340	22	approach	approach	NOUN
cana-2866	340	23	to	to	PART
cana-2866	340	24	overcome	overcome	VERB
cana-2866	340	25	the	the	DET
cana-2866	340	26	drawbacks	drawback	NOUN
cana-2866	340	27	of	of	ADP
cana-2866	340	28	ignoring	ignore	VERB
cana-2866	340	29	semantic	semantic	ADJ
cana-2866	340	30	features	feature	NOUN
cana-2866	340	31	.	.	PUNCT
cana-2866	341	1	the	the	DET
cana-2866	341	2	model	model	NOUN
cana-2866	341	3	demonstrated	demonstrate	VERB
cana-2866	341	4	exceptional	exceptional	ADJ
cana-2866	341	5	classification	classification	NOUN
cana-2866	341	6	abilities	ability	NOUN
cana-2866	341	7	,	,	PUNCT
cana-2866	341	8	highlighting	highlight	VERB
cana-2866	341	9	the	the	DET
cana-2866	341	10	substantial	substantial	ADJ
cana-2866	341	11	influence	influence	NOUN
cana-2866	341	12	of	of	ADP
cana-2866	341	13	the	the	DET
cana-2866	341	14	bmc	bmc	NOUN
cana-2866	341	15	system	system	NOUN
cana-2866	341	16	's	's	PART
cana-2866	341	17	performance	performance	NOUN
cana-2866	341	18	.	.	PUNCT
cana-2866	342	1	however	however	ADV
cana-2866	342	2	,	,	PUNCT
cana-2866	342	3	there	there	PRON
cana-2866	342	4	are	be	VERB
cana-2866	342	5	certain	certain	ADJ
cana-2866	342	6	drawbacks	drawback	NOUN
cana-2866	342	7	in	in	ADP
cana-2866	342	8	using	use	VERB
cana-2866	342	9	data	datum	NOUN
cana-2866	342	10	segmentation	segmentation	NOUN
cana-2866	342	11	techniques	technique	NOUN
cana-2866	342	12	on	on	ADP
cana-2866	342	13	a	a	DET
cana-2866	342	14	dataset	dataset	NOUN
cana-2866	342	15	.	.	PUNCT
cana-2866	343	1	for	for	ADP
cana-2866	343	2	example	example	NOUN
cana-2866	343	3	,	,	PUNCT
cana-2866	343	4	better	well	ADJ
cana-2866	343	5	image	image	NOUN
cana-2866	343	6	enhancement	enhancement	NOUN
cana-2866	343	7	techniques	technique	NOUN
cana-2866	343	8	are	be	AUX
cana-2866	343	9	needed	need	VERB
cana-2866	343	10	to	to	PART
cana-2866	343	11	provide	provide	VERB
cana-2866	343	12	prior	prior	ADV
cana-2866	343	13	segmenting	segment	VERB
cana-2866	343	14	the	the	DET
cana-2866	343	15	images	image	NOUN
cana-2866	343	16	and	and	CCONJ
cana-2866	343	17	to	to	PART
cana-2866	343	18	improve	improve	VERB
cana-2866	343	19	the	the	DET
cana-2866	343	20	performance	performance	NOUN
cana-2866	343	21	.	.	PUNCT
cana-2866	344	1	auto	auto	NOUN
cana-2866	344	2	encoders	encoder	NOUN
cana-2866	344	3	are	be	AUX
cana-2866	344	4	used	use	VERB
cana-2866	344	5	to	to	PART
cana-2866	344	6	extract	extract	VERB
cana-2866	344	7	the	the	DET
cana-2866	344	8	features	feature	NOUN
cana-2866	344	9	which	which	PRON
cana-2866	344	10	prone	prone	ADJ
cana-2866	344	11	to	to	ADP
cana-2866	344	12	over	over	ADP
cana-2866	344	13	fitting	fitting	ADJ
cana-2866	344	14	.	.	PUNCT
cana-2866	345	1	convolution	convolution	NOUN
cana-2866	345	2	neural	neural	ADJ
cana-2866	345	3	network	network	NOUN
cana-2866	345	4	with	with	ADP
cana-2866	345	5	an	an	DET
cana-2866	345	6	extreme	extreme	ADJ
cana-2866	345	7	learning	learning	NOUN
cana-2866	345	8	machine	machine	NOUN
cana-2866	345	9	(	(	PUNCT
cana-2866	345	10	cnn	cnn	PROPN
cana-2866	345	11	-	-	PUNCT
cana-2866	345	12	elm	elm	PROPN
cana-2866	345	13	)	)	PUNCT
cana-2866	345	14	classifier	classifier	NOUN
cana-2866	345	15	has	have	AUX
cana-2866	345	16	been	be	AUX
cana-2866	345	17	employed	employ	VERB
cana-2866	345	18	by	by	ADP
cana-2866	345	19	the	the	DET
cana-2866	345	20	researchers	researcher	NOUN
cana-2866	345	21	and	and	CCONJ
cana-2866	345	22	window	window	NOUN
cana-2866	345	23	sliding	slide	VERB
cana-2866	345	24	method	method	NOUN
cana-2866	345	25	has	have	AUX
cana-2866	345	26	been	be	AUX
cana-2866	345	27	used	use	VERB
cana-2866	345	28	for	for	ADP
cana-2866	345	29	denoising	denoise	VERB
cana-2866	345	30	[	[	X
cana-2866	345	31	22	22	NUM
cana-2866	345	32	]	]	PUNCT
cana-2866	345	33	.	.	PUNCT
cana-2866	346	1	they	they	PRON
cana-2866	346	2	combined	combine	VERB
cana-2866	346	3	morphological	morphological	ADJ
cana-2866	346	4	,	,	PUNCT
cana-2866	346	5	texture	texture	ADJ
cana-2866	346	6	,	,	PUNCT
cana-2866	346	7	and	and	CCONJ
cana-2866	346	8	deep	deep	ADJ
cana-2866	346	9	characteristics	characteristic	NOUN
cana-2866	346	10	from	from	ADP
cana-2866	346	11	image	image	NOUN
cana-2866	346	12	datasets	dataset	NOUN
cana-2866	346	13	to	to	PART
cana-2866	346	14	strategically	strategically	ADV
cana-2866	346	15	design	design	VERB
cana-2866	346	16	.	.	PUNCT
cana-2866	347	1	but	but	CCONJ
cana-2866	347	2	combining	combine	VERB
cana-2866	347	3	multiple	multiple	ADJ
cana-2866	347	4	feature	feature	NOUN
cana-2866	347	5	types	type	NOUN
cana-2866	347	6	can	can	AUX
cana-2866	347	7	lead	lead	VERB
cana-2866	347	8	to	to	ADP
cana-2866	347	9	very	very	ADV
cana-2866	347	10	high	high	ADV
cana-2866	347	11	-	-	PUNCT
cana-2866	347	12	dimensional	dimensional	ADJ
cana-2866	347	13	data	datum	NOUN
cana-2866	347	14	,	,	PUNCT
cana-2866	347	15	making	make	VERB
cana-2866	347	16	the	the	DET
cana-2866	347	17	model	model	NOUN
cana-2866	347	18	more	more	ADV
cana-2866	347	19	complex	complex	ADJ
cana-2866	347	20	and	and	CCONJ
cana-2866	347	21	potentially	potentially	ADV
cana-2866	347	22	leading	lead	VERB
cana-2866	347	23	to	to	ADP
cana-2866	347	24	overfitting	overfitte	VERB
cana-2866	347	25	.	.	PUNCT
cana-2866	348	1	the	the	DET
cana-2866	348	2	suggested	suggest	VERB
cana-2866	348	3	method	method	NOUN
cana-2866	348	4	has	have	AUX
cana-2866	348	5	given	give	VERB
cana-2866	348	6	classification	classification	NOUN
cana-2866	348	7	accuracy	accuracy	NOUN
cana-2866	348	8	of	of	ADP
cana-2866	348	9	88	88	NUM
cana-2866	348	10	%	%	NOUN
cana-2866	348	11	which	which	PRON
cana-2866	348	12	can	can	AUX
cana-2866	348	13	be	be	AUX
cana-2866	348	14	further	far	ADV
cana-2866	348	15	improved	improve	VERB
cana-2866	348	16	by	by	ADP
cana-2866	348	17	cnn	cnn	PROPN
cana-2866	348	18	classifier	classifier	NOUN
cana-2866	348	19	which	which	PRON
cana-2866	348	20	is	be	AUX
cana-2866	348	21	proved	prove	VERB
cana-2866	348	22	in	in	ADP
cana-2866	348	23	our	our	PRON
cana-2866	348	24	work	work	NOUN
cana-2866	348	25	.	.	PUNCT
cana-2866	349	1	and	and	CCONJ
cana-2866	349	2	also	also	ADV
cana-2866	349	3	,	,	PUNCT
cana-2866	349	4	the	the	DET
cana-2866	349	5	image	image	NOUN
cana-2866	349	6	quality	quality	NOUN
cana-2866	349	7	can	can	AUX
cana-2866	349	8	be	be	AUX
cana-2866	349	9	improved	improve	VERB
cana-2866	349	10	further	far	ADV
cana-2866	349	11	,	,	PUNCT
cana-2866	349	12	because	because	SCONJ
cana-2866	349	13	the	the	DET
cana-2866	349	14	window	window	NOUN
cana-2866	349	15	sliding	slide	VERB
cana-2866	349	16	method	method	NOUN
cana-2866	349	17	used	use	VERB
cana-2866	349	18	in	in	ADP
cana-2866	349	19	the	the	DET
cana-2866	349	20	research	research	NOUN
cana-2866	349	21	,	,	PUNCT
cana-2866	349	22	applies	apply	VERB
cana-2866	349	23	the	the	DET
cana-2866	349	24	same	same	ADJ
cana-2866	349	25	processing	processing	NOUN
cana-2866	349	26	over	over	ADP
cana-2866	349	27	overlapping	overlap	VERB
cana-2866	349	28	regions	region	NOUN
cana-2866	349	29	,	,	PUNCT
cana-2866	349	30	it	it	PRON
cana-2866	349	31	induces	induce	VERB
cana-2866	349	32	edge	edge	NOUN
cana-2866	349	33	distortion	distortion	NOUN
cana-2866	349	34	or	or	CCONJ
cana-2866	349	35	blurriness	blurriness	NOUN
cana-2866	349	36	.	.	PUNCT
cana-2866	350	1	this	this	PRON
cana-2866	350	2	might	might	AUX
cana-2866	350	3	result	result	VERB
cana-2866	350	4	in	in	ADP
cana-2866	350	5	artifacts	artifact	NOUN
cana-2866	350	6	at	at	ADP
cana-2866	350	7	the	the	DET
cana-2866	350	8	edges	edge	NOUN
cana-2866	350	9	and	and	CCONJ
cana-2866	350	10	the	the	DET
cana-2866	350	11	constant	constant	ADJ
cana-2866	350	12	window	window	NOUN
cana-2866	350	13	size	size	NOUN
cana-2866	350	14	requirement	requirement	NOUN
cana-2866	350	15	may	may	AUX
cana-2866	350	16	hinder	hinder	VERB
cana-2866	350	17	its	its	PRON
cana-2866	350	18	ability	ability	NOUN
cana-2866	350	19	to	to	PART
cana-2866	350	20	accommodate	accommodate	VERB
cana-2866	350	21	different	different	ADJ
cana-2866	350	22	image	image	NOUN
cana-2866	350	23	scales	scale	NOUN
cana-2866	350	24	or	or	CCONJ
cana-2866	350	25	forms	form	NOUN
cana-2866	350	26	.	.	PUNCT
cana-2866	351	1	therefore	therefore	ADV
cana-2866	351	2	,	,	PUNCT
cana-2866	351	3	the	the	DET
cana-2866	351	4	proposed	propose	VERB
cana-2866	351	5	work	work	NOUN
cana-2866	351	6	has	have	AUX
cana-2866	351	7	used	use	VERB
cana-2866	351	8	the	the	DET
cana-2866	351	9	rolling	rolling	ADJ
cana-2866	351	10	ball	ball	NOUN
cana-2866	351	11	technique	technique	NOUN
cana-2866	351	12	which	which	PRON
cana-2866	351	13	is	be	AUX
cana-2866	351	14	specifically	specifically	ADV
cana-2866	351	15	made	make	VERB
cana-2866	351	16	to	to	PART
cana-2866	351	17	simulate	simulate	VERB
cana-2866	351	18	and	and	CCONJ
cana-2866	351	19	remove	remove	VERB
cana-2866	351	20	intricate	intricate	ADJ
cana-2866	351	21	backdrop	backdrop	ADJ
cana-2866	351	22	structures	structure	NOUN
cana-2866	351	23	,	,	PUNCT
cana-2866	351	24	whereas	whereas	SCONJ
cana-2866	351	25	the	the	DET
cana-2866	351	26	window	window	NOUN
cana-2866	351	27	sliding	slide	VERB
cana-2866	351	28	method	method	NOUN
cana-2866	351	29	might	might	AUX
cana-2866	351	30	not	not	PART
cana-2866	351	31	be	be	AUX
cana-2866	351	32	as	as	ADV
cana-2866	351	33	good	good	ADJ
cana-2866	351	34	at	at	ADP
cana-2866	351	35	capturing	capture	VERB
cana-2866	351	36	the	the	DET
cana-2866	351	37	subtle	subtle	ADJ
cana-2866	351	38	changes	change	NOUN
cana-2866	351	39	in	in	ADP
cana-2866	351	40	the	the	DET
cana-2866	351	41	background	background	NOUN
cana-2866	351	42	.	.	PUNCT
cana-2866	352	1	r.	r.	PROPN
cana-2866	352	2	beeravolu	beeravolu	PROPN
cana-2866	352	3	et	et	PROPN
cana-2866	352	4	al	al	PROPN
cana-2866	352	5	.	.	PUNCT
cana-2866	353	1	[	[	X
cana-2866	353	2	50	50	NUM
cana-2866	353	3	]	]	PUNCT
cana-2866	353	4	used	use	VERB
cana-2866	353	5	huang	huang	PROPN
cana-2866	353	6	’s	’s	PART
cana-2866	353	7	fuzzy	fuzzy	ADJ
cana-2866	353	8	thresholding	thresholding	NOUN
cana-2866	353	9	technique	technique	NOUN
cana-2866	353	10	and	and	CCONJ
cana-2866	353	11	the	the	DET
cana-2866	353	12	rolling	rolling	ADJ
cana-2866	353	13	ball	ball	NOUN
cana-2866	353	14	algorithm	algorithm	NOUN
cana-2866	353	15	are	be	AUX
cana-2866	353	16	to	to	PART
cana-2866	353	17	eliminate	eliminate	VERB
cana-2866	353	18	background	background	NOUN
cana-2866	353	19	from	from	ADP
cana-2866	353	20	images	image	NOUN
cana-2866	353	21	.	.	PUNCT
cana-2866	354	1	hough	hough	PROPN
cana-2866	354	2	's	's	PART
cana-2866	354	3	line	line	NOUN
cana-2866	354	4	transform	transform	NOUN
cana-2866	354	5	with	with	ADP
cana-2866	354	6	canny	canny	ADJ
cana-2866	354	7	edge	edge	NOUN
cana-2866	354	8	detection	detection	NOUN
cana-2866	354	9	is	be	AUX
cana-2866	354	10	used	use	VERB
cana-2866	354	11	to	to	PART
cana-2866	354	12	eliminate	eliminate	VERB
cana-2866	354	13	pectoral	pectoral	ADJ
cana-2866	354	14	muscle	muscle	NOUN
cana-2866	354	15	.	.	PUNCT
cana-2866	355	1	however	however	ADV
cana-2866	355	2	the	the	DET
cana-2866	355	3	cnn	cnn	PROPN
cana-2866	355	4	architecture	architecture	NOUN
cana-2866	355	5	has	have	AUX
cana-2866	355	6	not	not	PART
cana-2866	355	7	been	be	AUX
cana-2866	355	8	explicitly	explicitly	ADV
cana-2866	355	9	defined	define	VERB
cana-2866	355	10	.	.	PUNCT
cana-2866	356	1	sun	sun	PROPN
cana-2866	356	2	et	et	PROPN
cana-2866	356	3	al	al	PROPN
cana-2866	356	4	.	.	PUNCT
cana-2866	357	1	[	[	X
cana-2866	357	2	15	15	NUM
cana-2866	357	3	]	]	PUNCT
cana-2866	357	4	has	have	AUX
cana-2866	357	5	proposed	propose	VERB
cana-2866	357	6	multi	multi	ADJ
cana-2866	357	7	-	-	ADJ
cana-2866	357	8	dilated	dilated	ADJ
cana-2866	357	9	cnns	cnn	NOUN
cana-2866	357	10	with	with	ADP
cana-2866	357	11	varying	vary	VERB
cana-2866	357	12	dilation	dilation	NOUN
cana-2866	357	13	rates	rate	NOUN
cana-2866	357	14	to	to	PART
cana-2866	357	15	gather	gather	VERB
cana-2866	357	16	data	datum	NOUN
cana-2866	357	17	at	at	ADP
cana-2866	357	18	different	different	ADJ
cana-2866	357	19	scales	scale	NOUN
cana-2866	357	20	.	.	PUNCT
cana-2866	358	1	they	they	PRON
cana-2866	358	2	employed	employ	VERB
cana-2866	358	3	a	a	DET
cana-2866	358	4	multi	multi	ADJ
cana-2866	358	5	-	-	ADJ
cana-2866	358	6	dilated	dilated	ADJ
cana-2866	358	7	cnn	cnn	NOUN
cana-2866	358	8	to	to	PART
cana-2866	358	9	categorize	categorize	VERB
cana-2866	358	10	mammograms	mammogram	NOUN
cana-2866	358	11	using	use	VERB
cana-2866	358	12	features	feature	NOUN
cana-2866	358	13	taken	take	VERB
cana-2866	358	14	from	from	ADP
cana-2866	358	15	the	the	DET
cana-2866	358	16	craniocaudal	craniocaudal	NOUN
cana-2866	358	17	(	(	PUNCT
cana-2866	358	18	cc	cc	NOUN
cana-2866	358	19	)	)	PUNCT
cana-2866	358	20	and	and	CCONJ
cana-2866	358	21	mediolateral	mediolateral	ADJ
cana-2866	358	22	oblique	oblique	NOUN
cana-2866	358	23	(	(	PUNCT
cana-2866	358	24	mlo	mlo	NOUN
cana-2866	358	25	)	)	PUNCT
cana-2866	358	26	views	view	NOUN
cana-2866	358	27	.	.	PUNCT
cana-2866	359	1	although	although	SCONJ
cana-2866	359	2	this	this	PRON
cana-2866	359	3	can	can	AUX
cana-2866	359	4	aid	aid	VERB
cana-2866	359	5	in	in	ADP
cana-2866	359	6	the	the	DET
cana-2866	359	7	detection	detection	NOUN
cana-2866	359	8	of	of	ADP
cana-2866	359	9	more	more	ADV
cana-2866	359	10	extensive	extensive	ADJ
cana-2866	359	11	contextual	contextual	ADJ
cana-2866	359	12	features	feature	NOUN
cana-2866	359	13	,	,	PUNCT
cana-2866	359	14	it	it	PRON
cana-2866	359	15	also	also	ADV
cana-2866	359	16	makes	make	VERB
cana-2866	359	17	the	the	DET
cana-2866	359	18	model	model	NOUN
cana-2866	359	19	more	more	ADV
cana-2866	359	20	complex	complex	ADJ
cana-2866	359	21	,	,	PUNCT
cana-2866	359	22	which	which	PRON
cana-2866	359	23	raises	raise	VERB
cana-2866	359	24	the	the	DET
cana-2866	359	25	computing	computing	NOUN
cana-2866	359	26	costs	cost	NOUN
cana-2866	359	27	.	.	PUNCT
cana-2866	360	1	instead	instead	ADV
cana-2866	360	2	,	,	PUNCT
cana-2866	360	3	the	the	DET
cana-2866	360	4	process	process	NOUN
cana-2866	360	5	of	of	ADP
cana-2866	360	6	feature	feature	NOUN
cana-2866	360	7	extraction	extraction	NOUN
cana-2866	360	8	can	can	AUX
cana-2866	360	9	be	be	AUX
cana-2866	360	10	improved	improve	VERB
cana-2866	360	11	using	use	VERB
cana-2866	360	12	preprocessing	preprocesse	VERB
cana-2866	360	13	prior	prior	ADJ
cana-2866	360	14	classification	classification	NOUN
cana-2866	360	15	which	which	PRON
cana-2866	360	16	has	have	AUX
cana-2866	360	17	been	be	AUX
cana-2866	360	18	proved	prove	VERB
cana-2866	360	19	in	in	ADP
cana-2866	360	20	our	our	PRON
cana-2866	360	21	proposed	propose	VERB
cana-2866	360	22	model	model	NOUN
cana-2866	360	23	which	which	PRON
cana-2866	360	24	has	have	AUX
cana-2866	360	25	achieved	achieve	VERB
cana-2866	360	26	classification	classification	NOUN
cana-2866	360	27	communications	communication	NOUN
cana-2866	360	28	on	on	ADP
cana-2866	360	29	applied	apply	VERB
cana-2866	360	30	nonlinear	nonlinear	ADJ
cana-2866	360	31	analysis	analysis	NOUN
cana-2866	360	32	issn	issn	NOUN
cana-2866	360	33	:	:	PUNCT
cana-2866	360	34	1074	1074	NUM
cana-2866	360	35	-	-	PUNCT
cana-2866	360	36	133x	133x	NUM
cana-2866	360	37	vol	vol	NOUN
cana-2866	360	38	32	32	NUM
cana-2866	360	39	no	no	NOUN
cana-2866	360	40	.	.	PUNCT
cana-2866	361	1	4s	4s	NUM
cana-2866	361	2	(	(	PUNCT
cana-2866	361	3	2025	2025	NUM
cana-2866	361	4	)	)	PUNCT
cana-2866	361	5	497	497	NUM
cana-2866	361	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-2866	361	7	accuracy	accuracy	NOUN
cana-2866	361	8	,	,	PUNCT
cana-2866	361	9	precision	precision	NOUN
cana-2866	361	10	,	,	PUNCT
cana-2866	361	11	recall	recall	NOUN
cana-2866	361	12	and	and	CCONJ
cana-2866	361	13	f	f	NOUN
cana-2866	361	14	-	-	PUNCT
cana-2866	361	15	measure	measure	NOUN
cana-2866	361	16	for	for	ADP
cana-2866	361	17	mias	mias	PROPN
cana-2866	361	18	dataset	dataset	VERB
cana-2866	361	19	as	as	ADP
cana-2866	361	20	0.88	0.88	NUM
cana-2866	361	21	%	%	NOUN
cana-2866	361	22	,	,	PUNCT
cana-2866	361	23	0.91	0.91	NUM
cana-2866	361	24	%	%	NOUN
cana-2866	361	25	,	,	PUNCT
cana-2866	361	26	0.89	0.89	NUM
cana-2866	361	27	%	%	NOUN
cana-2866	361	28	and	and	CCONJ
cana-2866	361	29	0.90	0.90	NUM
cana-2866	361	30	%	%	NOUN
cana-2866	361	31	respectively	respectively	ADV
cana-2866	361	32	with	with	ADP
cana-2866	361	33	cnn	cnn	PROPN
cana-2866	361	34	for	for	ADP
cana-2866	361	35	bmc	bmc	NOUN
cana-2866	361	36	comparatively	comparatively	ADV
cana-2866	361	37	.	.	PUNCT
cana-2866	362	1	conclusion	conclusion	NOUN
cana-2866	362	2	in	in	ADP
cana-2866	362	3	this	this	DET
cana-2866	362	4	study	study	NOUN
cana-2866	362	5	,	,	PUNCT
cana-2866	362	6	the	the	DET
cana-2866	362	7	mammography	mammography	NOUN
cana-2866	362	8	pictures	picture	NOUN
cana-2866	362	9	are	be	AUX
cana-2866	362	10	classified	classify	VERB
cana-2866	362	11	as	as	ADP
cana-2866	362	12	normal	normal	ADJ
cana-2866	362	13	,	,	PUNCT
cana-2866	362	14	benign	benign	ADJ
cana-2866	362	15	,	,	PUNCT
cana-2866	362	16	or	or	CCONJ
cana-2866	362	17	malignant	malignant	ADJ
cana-2866	362	18	using	use	VERB
cana-2866	362	19	the	the	DET
cana-2866	362	20	cnn	cnn	PROPN
cana-2866	362	21	model	model	NOUN
cana-2866	362	22	.	.	PUNCT
cana-2866	363	1	the	the	DET
cana-2866	363	2	techniques	technique	NOUN
cana-2866	363	3	for	for	ADP
cana-2866	363	4	image	image	NOUN
cana-2866	363	5	segmentation	segmentation	NOUN
cana-2866	363	6	,	,	PUNCT
cana-2866	363	7	image	image	NOUN
cana-2866	363	8	enhancement	enhancement	NOUN
cana-2866	363	9	,	,	PUNCT
cana-2866	363	10	and	and	CCONJ
cana-2866	363	11	background	background	NOUN
cana-2866	363	12	removal	removal	NOUN
cana-2866	363	13	are	be	AUX
cana-2866	363	14	considered	consider	VERB
cana-2866	363	15	in	in	ADP
cana-2866	363	16	this	this	DET
cana-2866	363	17	approach	approach	NOUN
cana-2866	363	18	.	.	PUNCT
cana-2866	364	1	images	image	NOUN
cana-2866	364	2	with	with	ADP
cana-2866	364	3	noise	noise	NOUN
cana-2866	364	4	and	and	CCONJ
cana-2866	364	5	artifacts	artifact	NOUN
cana-2866	364	6	are	be	AUX
cana-2866	364	7	cleaned	clean	VERB
cana-2866	364	8	up	up	ADP
cana-2866	364	9	using	use	VERB
cana-2866	364	10	the	the	DET
cana-2866	364	11	"	"	PUNCT
cana-2866	364	12	rolling	rolling	ADJ
cana-2866	364	13	ball	ball	NOUN
cana-2866	364	14	algorithm	algorithm	NOUN
cana-2866	364	15	"	"	PUNCT
cana-2866	364	16	during	during	ADP
cana-2866	364	17	the	the	DET
cana-2866	364	18	background	background	NOUN
cana-2866	364	19	removal	removal	NOUN
cana-2866	364	20	phase	phase	NOUN
cana-2866	364	21	.	.	PUNCT
cana-2866	365	1	k	k	X
cana-2866	365	2	-	-	PUNCT
cana-2866	365	3	means	means	PROPN
cana-2866	365	4	is	be	AUX
cana-2866	365	5	the	the	DET
cana-2866	365	6	segmentation	segmentation	NOUN
cana-2866	365	7	method	method	NOUN
cana-2866	365	8	utilized	utilize	VERB
cana-2866	365	9	to	to	PART
cana-2866	365	10	segment	segment	VERB
cana-2866	365	11	the	the	DET
cana-2866	365	12	breast	breast	NOUN
cana-2866	365	13	region	region	NOUN
cana-2866	365	14	,	,	PUNCT
cana-2866	365	15	while	while	SCONJ
cana-2866	365	16	the	the	DET
cana-2866	365	17	"	"	PUNCT
cana-2866	365	18	clahe	clahe	NOUN
cana-2866	365	19	"	"	PUNCT
cana-2866	365	20	method	method	NOUN
cana-2866	365	21	is	be	AUX
cana-2866	365	22	used	use	VERB
cana-2866	365	23	for	for	ADP
cana-2866	365	24	image	image	NOUN
cana-2866	365	25	enhancement	enhancement	NOUN
cana-2866	365	26	by	by	ADP
cana-2866	365	27	raising	raise	VERB
cana-2866	365	28	the	the	DET
cana-2866	365	29	contrast	contrast	NOUN
cana-2866	365	30	level	level	NOUN
cana-2866	365	31	.	.	PUNCT
cana-2866	366	1	the	the	DET
cana-2866	366	2	performance	performance	NOUN
cana-2866	366	3	of	of	ADP
cana-2866	366	4	the	the	DET
cana-2866	366	5	classification	classification	NOUN
cana-2866	366	6	techniques	technique	NOUN
cana-2866	366	7	has	have	AUX
cana-2866	366	8	improved	improve	VERB
cana-2866	366	9	with	with	ADP
cana-2866	366	10	the	the	DET
cana-2866	366	11	clahe	clahe	NOUN
cana-2866	366	12	algorithm	algorithm	NOUN
cana-2866	366	13	by	by	ADP
cana-2866	366	14	improving	improve	VERB
cana-2866	366	15	image	image	NOUN
cana-2866	366	16	contrast	contrast	NOUN
cana-2866	366	17	.	.	PUNCT
cana-2866	367	1	the	the	DET
cana-2866	367	2	neural	neural	ADJ
cana-2866	367	3	network	network	NOUN
cana-2866	367	4	's	's	PART
cana-2866	367	5	performance	performance	NOUN
cana-2866	367	6	was	be	AUX
cana-2866	367	7	enhanced	enhance	VERB
cana-2866	367	8	by	by	ADP
cana-2866	367	9	these	these	DET
cana-2866	367	10	previously	previously	ADV
cana-2866	367	11	processed	process	VERB
cana-2866	367	12	images	image	NOUN
cana-2866	367	13	.	.	PUNCT
cana-2866	368	1	it	it	PRON
cana-2866	368	2	has	have	AUX
cana-2866	368	3	been	be	AUX
cana-2866	368	4	demonstrated	demonstrate	VERB
cana-2866	368	5	that	that	SCONJ
cana-2866	368	6	,	,	PUNCT
cana-2866	368	7	in	in	ADP
cana-2866	368	8	comparison	comparison	NOUN
cana-2866	368	9	to	to	ADP
cana-2866	368	10	other	other	ADJ
cana-2866	368	11	current	current	ADJ
cana-2866	368	12	methods	method	NOUN
cana-2866	368	13	,	,	PUNCT
cana-2866	368	14	the	the	DET
cana-2866	368	15	suggested	suggest	VERB
cana-2866	368	16	method	method	NOUN
cana-2866	368	17	performs	perform	VERB
cana-2866	368	18	better	well	ADV
cana-2866	368	19	on	on	ADP
cana-2866	368	20	performance	performance	NOUN
cana-2866	368	21	metrics	metric	NOUN
cana-2866	368	22	.	.	PUNCT
cana-2866	369	1	this	this	DET
cana-2866	369	2	intelligent	intelligent	ADJ
cana-2866	369	3	health	health	NOUN
cana-2866	369	4	care	care	NOUN
cana-2866	369	5	paradigm	paradigm	NOUN
cana-2866	369	6	,	,	PUNCT
cana-2866	369	7	which	which	PRON
cana-2866	369	8	solves	solve	VERB
cana-2866	369	9	social	social	ADJ
cana-2866	369	10	issues	issue	NOUN
cana-2866	369	11	and	and	CCONJ
cana-2866	369	12	helps	help	VERB
cana-2866	369	13	detect	detect	VERB
cana-2866	369	14	breast	breast	NOUN
cana-2866	369	15	cancer	cancer	NOUN
cana-2866	369	16	in	in	ADP
cana-2866	369	17	women	woman	NOUN
cana-2866	369	18	at	at	ADP
cana-2866	369	19	an	an	DET
cana-2866	369	20	early	early	ADJ
cana-2866	369	21	stage	stage	NOUN
cana-2866	369	22	,	,	PUNCT
cana-2866	369	23	will	will	AUX
cana-2866	369	24	revolutionize	revolutionize	VERB
cana-2866	369	25	the	the	DET
cana-2866	369	26	medical	medical	ADJ
cana-2866	369	27	field	field	NOUN
cana-2866	369	28	.	.	PUNCT
cana-2866	370	1	references	reference	NOUN
cana-2866	370	2	[	[	X
cana-2866	370	3	1	1	NUM
cana-2866	370	4	]	]	X
cana-2866	370	5	abdelhafiz	abdelhafiz	ADJ
cana-2866	370	6	,	,	PUNCT
cana-2866	370	7	et.al	et.al	PROPN
cana-2866	370	8	.	.	PROPN
cana-2866	370	9	,	,	PUNCT
cana-2866	370	10	“	"	PUNCT
cana-2866	370	11	deep	deep	ADJ
cana-2866	370	12	convolutional	convolutional	ADJ
cana-2866	370	13	neural	neural	ADJ
cana-2866	370	14	networks	network	NOUN
cana-2866	370	15	for	for	ADP
cana-2866	370	16	mammography	mammography	NOUN
cana-2866	370	17	:	:	PUNCT
cana-2866	370	18	advances	advance	NOUN
cana-2866	370	19	,	,	PUNCT
cana-2866	370	20	challenges	challenge	NOUN
cana-2866	370	21	and	and	CCONJ
cana-2866	370	22	applications	application	NOUN
cana-2866	370	23	,	,	PUNCT
cana-2866	370	24	”	"	PUNCT
cana-2866	370	25	in	in	ADP
cana-2866	370	26	bmc	bmc	PROPN
cana-2866	370	27	bioinf	bioinf	PROPN
cana-2866	370	28	.	.	PUNCT
cana-2866	371	1	,	,	PUNCT
cana-2866	371	2	vol	vol	NOUN
cana-2866	371	3	.	.	PROPN
cana-2866	371	4	20	20	NUM
cana-2866	371	5	,	,	PUNCT
cana-2866	371	6	no	no	INTJ
cana-2866	371	7	.	.	PUNCT
cana-2866	372	1	s11	s11	PROPN
cana-2866	372	2	,	,	PUNCT
cana-2866	372	3	jun	jun	PROPN
cana-2866	372	4	.	.	PROPN
cana-2866	372	5	2019	2019	NUM
cana-2866	372	6	,	,	PUNCT
cana-2866	372	7	pp	pp	ADJ
cana-2866	372	8	.	.	PUNCT
cana-2866	373	1	1–20	1–20	NOUN
cana-2866	373	2	.	.	PUNCT
cana-2866	374	1	[	[	X
cana-2866	374	2	2	2	NUM
cana-2866	374	3	]	]	X
cana-2866	374	4	yang	yang	PROPN
cana-2866	374	5	z	z	PROPN
cana-2866	374	6	,	,	PUNCT
cana-2866	374	7	et.al	et.al	PROPN
cana-2866	374	8	.	.	PROPN
cana-2866	374	9	,	,	PUNCT
cana-2866	374	10	“	"	PUNCT
cana-2866	374	11	cancer	cancer	NOUN
cana-2866	374	12	incidence	incidence	NOUN
cana-2866	374	13	and	and	CCONJ
cana-2866	374	14	mortality	mortality	NOUN
cana-2866	374	15	in	in	ADP
cana-2866	374	16	china	china	PROPN
cana-2866	374	17	in	in	ADP
cana-2866	374	18	2013	2013	NUM
cana-2866	374	19	:	:	PUNCT
cana-2866	374	20	an	an	DET
cana-2866	374	21	analysis	analysis	NOUN
cana-2866	374	22	based	base	VERB
cana-2866	374	23	on	on	ADP
cana-2866	374	24	urbanization	urbanization	NOUN
cana-2866	374	25	level	level	NOUN
cana-2866	374	26	”	"	PUNCT
cana-2866	374	27	l.	l.	PROPN
cana-2866	374	28	chin	chin	PROPN
cana-2866	374	29	j	j	PROPN
cana-2866	374	30	cancer	cancer	NOUN
cana-2866	374	31	res	re	NOUN
cana-2866	374	32	.	.	PUNCT
cana-2866	375	1	vol.29	vol.29	NOUN
cana-2866	375	2	,	,	PUNCT
cana-2866	375	3	(	(	PUNCT
cana-2866	375	4	1):1	1):1	NUM
cana-2866	375	5	-	-	SYM
cana-2866	375	6	10	10	NUM
cana-2866	375	7	.	.	PUNCT
cana-2866	376	1	doi	doi	NOUN
cana-2866	376	2	:	:	PUNCT
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cana-2866	376	4	/	/	SYM
cana-2866	376	5	j.issn.1000	j.issn.1000	NOUN
cana-2866	376	6	-	-	PUNCT
cana-2866	376	7	9604.2017.01.01	9604.2017.01.01	PROPN
cana-2866	376	8	.	.	PUNCT
cana-2866	377	1	[	[	X
cana-2866	377	2	3	3	X
cana-2866	377	3	]	]	X
cana-2866	377	4	r.	r.	PROPN
cana-2866	377	5	bie	bie	PROPN
cana-2866	377	6	,	,	PUNCT
cana-2866	377	7	et.al	et.al	PROPN
cana-2866	377	8	.	.	PROPN
cana-2866	377	9	,	,	PUNCT
cana-2866	377	10	‘	'	PUNCT
cana-2866	377	11	‘	'	PUNCT
cana-2866	377	12	cxnet	cxnet	NOUN
cana-2866	377	13	-	-	PUNCT
cana-2866	377	14	m1	m1	NOUN
cana-2866	377	15	:	:	PUNCT
cana-2866	377	16	anomaly	anomaly	NOUN
cana-2866	377	17	detection	detection	NOUN
cana-2866	377	18	on	on	ADP
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cana-2866	377	20	x	x	NOUN
cana-2866	377	21	-	-	NOUN
cana-2866	377	22	rays	ray	NOUN
cana-2866	377	23	with	with	ADP
cana-2866	377	24	image	image	NOUN
cana-2866	377	25	-	-	PUNCT
cana-2866	377	26	based	base	VERB
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cana-2866	377	29	,	,	PUNCT
cana-2866	377	30	’’	’'	PUNCT
cana-2866	377	31	in	in	ADP
cana-2866	377	32	ieee	ieee	NOUN
cana-2866	377	33	access	access	NOUN
cana-2866	377	34	,	,	PUNCT
cana-2866	377	35	vol	vol	NOUN
cana-2866	377	36	.	.	PROPN
cana-2866	377	37	7	7	NUM
cana-2866	377	38	,	,	PUNCT
cana-2866	377	39	pp	pp	ADJ
cana-2866	377	40	.	.	PUNCT
cana-2866	377	41	4466–4477	4466–4477	NUM
cana-2866	377	42	,	,	PUNCT
cana-2866	377	43	2019	2019	NUM
cana-2866	377	44	,	,	PUNCT
cana-2866	377	45	doi	doi	NOUN
cana-2866	377	46	:	:	PUNCT
cana-2866	377	47	10.1109	10.1109	NUM
cana-2866	377	48	/	/	SYM
cana-2866	377	49	access.2018.2885997	access.2018.2885997	NOUN
cana-2866	377	50	.	.	PUNCT
cana-2866	378	1	[	[	X
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cana-2866	378	3	]	]	PUNCT
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cana-2866	378	7	,	,	PUNCT
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cana-2866	378	9	.	.	PROPN
cana-2866	378	10	,	,	PUNCT
cana-2866	378	11	“	"	PUNCT
cana-2866	378	12	american	american	ADJ
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cana-2866	378	14	society	society	NOUN
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cana-2866	378	16	for	for	ADP
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cana-2866	378	18	screening	screening	NOUN
cana-2866	378	19	with	with	ADP
cana-2866	378	20	mri	mri	NOUN
cana-2866	378	21	as	as	ADP
cana-2866	378	22	an	an	DET
cana-2866	378	23	adjunct	adjunct	ADJ
cana-2866	378	24	to	to	ADP
cana-2866	378	25	mammography	mammography	NOUN
cana-2866	378	26	,	,	PUNCT
cana-2866	378	27	”	"	PUNCT
cana-2866	378	28	ca	can	AUX
cana-2866	378	29	a	a	PRON
cana-2866	378	30	,	,	PUNCT
cana-2866	378	31	cancer	cancer	NOUN
cana-2866	378	32	j.	j.	PROPN
cana-2866	378	33	clinicians	clinicians	PROPN
cana-2866	378	34	,	,	PUNCT
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cana-2866	378	36	,	,	PUNCT
cana-2866	378	37	vol	vol	NOUN
cana-2866	378	38	.	.	PROPN
cana-2866	378	39	57	57	NUM
cana-2866	378	40	,	,	PUNCT
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cana-2866	378	42	.	.	NOUN
cana-2866	378	43	2	2	NUM
cana-2866	378	44	,	,	PUNCT
cana-2866	378	45	pp	pp	ADJ
cana-2866	378	46	.	.	PUNCT
cana-2866	379	1	75–89	75–89	X
cana-2866	379	2	.	.	PUNCT
cana-2866	380	1	[	[	X
cana-2866	380	2	5	5	NUM
cana-2866	380	3	]	]	PUNCT
cana-2866	380	4	a.	a.	NOUN
cana-2866	380	5	jemal	jemal	PROPN
cana-2866	380	6	,	,	PUNCT
cana-2866	380	7	et.al	et.al	PROPN
cana-2866	380	8	.	.	PROPN
cana-2866	380	9	,	,	PUNCT
cana-2866	380	10	“	"	PUNCT
cana-2866	380	11	breast	breast	NOUN
cana-2866	380	12	cancer	cancer	NOUN
cana-2866	380	13	statistics	statistic	NOUN
cana-2866	380	14	,	,	PUNCT
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cana-2866	380	16	,	,	PUNCT
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cana-2866	380	19	in	in	ADP
cana-2866	380	20	mortality	mortality	NOUN
cana-2866	380	21	by	by	ADP
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cana-2866	380	23	,	,	PUNCT
cana-2866	380	24	”	"	PUNCT
cana-2866	380	25	ca	ca	NOUN
cana-2866	380	26	,	,	PUNCT
cana-2866	380	27	cancer	cancer	NOUN
cana-2866	380	28	j.	j.	PROPN
cana-2866	380	29	clinicians	clinicians	PROPN
cana-2866	380	30	,	,	PUNCT
cana-2866	380	31	vol	vol	NOUN
cana-2866	380	32	.	.	PROPN
cana-2866	380	33	67	67	NUM
cana-2866	380	34	,	,	PUNCT
cana-2866	380	35	pp	pp	ADJ
cana-2866	380	36	.	.	PUNCT
cana-2866	380	37	439–448	439–448	NUM
cana-2866	380	38	,	,	PUNCT
cana-2866	380	39	2017	2017	NUM
cana-2866	380	40	,	,	PUNCT
cana-2866	380	41	doi	doi	NOUN
cana-2866	380	42	:	:	PUNCT
cana-2866	380	43	10	10	NUM
cana-2866	380	44	.	.	X
cana-2866	380	45	3322	3322	NUM
cana-2866	380	46	/	/	SYM
cana-2866	381	1	caac.21412	caac.21412	NOUN
cana-2866	381	2	.	.	PUNCT
cana-2866	382	1	[	[	X
cana-2866	382	2	6	6	NUM
cana-2866	382	3	]	]	PUNCT
cana-2866	382	4	k.	k.	PROPN
cana-2866	382	5	wang	wang	PROPN
cana-2866	382	6	,	,	PUNCT
cana-2866	382	7	et.al	et.al	PROPN
cana-2866	382	8	.	.	PROPN
cana-2866	382	9	,	,	PUNCT
cana-2866	382	10	“	"	PUNCT
cana-2866	382	11	an	an	DET
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cana-2866	382	13	approach	approach	NOUN
cana-2866	382	14	for	for	ADP
cana-2866	382	15	automated	automate	VERB
cana-2866	382	16	mass	mass	NOUN
cana-2866	382	17	segmentation	segmentation	NOUN
cana-2866	382	18	and	and	CCONJ
cana-2866	382	19	classification	classification	NOUN
cana-2866	382	20	in	in	ADP
cana-2866	382	21	mammograms	mammogram	NOUN
cana-2866	382	22	,	,	PUNCT
cana-2866	382	23	”	"	PUNCT
cana-2866	382	24	j.	j.	PROPN
cana-2866	382	25	digit	digit	PROPN
cana-2866	382	26	.	.	PUNCT
cana-2866	383	1	imag	imag	PROPN
cana-2866	383	2	.	.	PROPN
cana-2866	383	3	,	,	PUNCT
cana-2866	383	4	vol	vol	NOUN
cana-2866	383	5	.	.	PROPN
cana-2866	383	6	28	28	NUM
cana-2866	383	7	,	,	PUNCT
cana-2866	383	8	no	no	INTJ
cana-2866	383	9	.	.	NOUN
cana-2866	383	10	5	5	NUM
cana-2866	383	11	,	,	PUNCT
cana-2866	383	12	pp	pp	ADJ
cana-2866	383	13	.	.	PUNCT
cana-2866	384	1	613–625,october	613–625,october	NUM
cana-2866	384	2	2015	2015	NUM
cana-2866	384	3	.	.	PUNCT
cana-2866	385	1	[	[	X
cana-2866	385	2	7	7	X
cana-2866	385	3	]	]	X
cana-2866	385	4	david	david	PROPN
cana-2866	385	5	zhang	zhang	PROPN
cana-2866	385	6	,	,	PUNCT
cana-2866	385	7	et.al	et.al	PROPN
cana-2866	385	8	.	.	PROPN
cana-2866	385	9	,	,	PUNCT
cana-2866	385	10	“	"	PUNCT
cana-2866	385	11	a	a	DET
cana-2866	385	12	survey	survey	NOUN
cana-2866	385	13	of	of	ADP
cana-2866	385	14	sparse	sparse	ADJ
cana-2866	385	15	representation	representation	NOUN
cana-2866	385	16	:	:	PUNCT
cana-2866	385	17	algorithms	algorithm	NOUN
cana-2866	385	18	and	and	CCONJ
cana-2866	385	19	applications	application	NOUN
cana-2866	385	20	”	"	PUNCT
cana-2866	385	21	ieee	ieee	NOUN
cana-2866	385	22	access	access	NOUN
cana-2866	385	23	,	,	PUNCT
cana-2866	385	24	3:490–530	3:490–530	NOUN
cana-2866	385	25	,	,	PUNCT
cana-2866	385	26	2015	2015	NUM
cana-2866	385	27	.	.	PUNCT
cana-2866	386	1	[	[	X
cana-2866	386	2	8	8	NUM
cana-2866	386	3	]	]	X
cana-2866	386	4	yong	yong	PROPN
cana-2866	386	5	xuet.al	xuet.al	PROPN
cana-2866	386	6	.	.	PROPN
cana-2866	386	7	,	,	PUNCT
cana-2866	386	8	“	"	PUNCT
cana-2866	386	9	robust	robust	ADJ
cana-2866	386	10	sparse	sparse	ADJ
cana-2866	386	11	linear	linear	ADJ
cana-2866	386	12	discriminant	discriminant	ADJ
cana-2866	386	13	analysis	analysis	NOUN
cana-2866	386	14	”	"	PUNCT
cana-2866	386	15	.	.	PUNCT
cana-2866	387	1	ieee	ieee	NOUN
cana-2866	387	2	transactions	transaction	NOUN
cana-2866	387	3	on	on	ADP
cana-2866	387	4	circuits	circuit	NOUN
cana-2866	387	5	and	and	CCONJ
cana-2866	387	6	systems	system	NOUN
cana-2866	387	7	for	for	ADP
cana-2866	387	8	video	video	NOUN
cana-2866	387	9	technology	technology	NOUN
cana-2866	387	10	,	,	PUNCT
cana-2866	387	11	29(2):390–403	29(2):390–403	NOUN
cana-2866	387	12	,	,	PUNCT
cana-2866	387	13	2018	2018	NUM
cana-2866	387	14	.	.	PUNCT
cana-2866	388	1	[	[	X
cana-2866	388	2	9	9	NUM
cana-2866	388	3	]	]	X
cana-2866	388	4	nan	nan	PROPN
cana-2866	388	5	luo	luo	PROPN
cana-2866	388	6	.	.	PUNCT
cana-2866	389	1	et.al	et.al	PROPN
cana-2866	389	2	.	.	PROPN
cana-2866	389	3	,	,	PUNCT
cana-2866	389	4	“	"	PUNCT
cana-2866	389	5	enhanced	enhance	VERB
cana-2866	389	6	cnn	cnn	PROPN
cana-2866	389	7	for	for	ADP
cana-2866	389	8	image	image	NOUN
cana-2866	389	9	denoising	denoising	NOUN
cana-2866	389	10	”	"	PUNCT
cana-2866	389	11	.	.	PUNCT
cana-2866	390	1	caai	caai	NOUN
cana-2866	390	2	transactions	transaction	NOUN
cana-2866	390	3	on	on	ADP
cana-2866	390	4	intelligence	intelligence	NOUN
cana-2866	390	5	technology	technology	NOUN
cana-2866	390	6	,	,	PUNCT
cana-2866	390	7	4(1):17–23	4(1):17–23	NUM
cana-2866	390	8	,	,	PUNCT
cana-2866	390	9	2019	2019	NUM
cana-2866	390	10	.	.	PUNCT
cana-2866	391	1	[	[	X
cana-2866	391	2	10	10	NUM
cana-2866	391	3	]	]	SYM
cana-2866	391	4	m	m	PROPN
cana-2866	391	5	arfan	arfan	PROPN
cana-2866	391	6	jaffar	jaffar	PROPN
cana-2866	391	7	,	,	PUNCT
cana-2866	391	8	et.al	et.al	PROPN
cana-2866	391	9	.	.	PROPN
cana-2866	391	10	,	,	PUNCT
cana-2866	391	11	“	"	PUNCT
cana-2866	391	12	deep	deep	ADJ
cana-2866	391	13	learning	learning	NOUN
cana-2866	391	14	-	-	PUNCT
cana-2866	391	15	based	base	VERB
cana-2866	391	16	computer	computer	NOUN
cana-2866	391	17	aided	aid	VERB
cana-2866	391	18	diagnosis	diagnosis	NOUN
cana-2866	391	19	system	system	NOUN
cana-2866	391	20	for	for	ADP
cana-2866	391	21	breast	breast	NOUN
cana-2866	391	22	mammograms	mammogram	NOUN
cana-2866	391	23	”	"	PUNCT
cana-2866	391	24	.	.	PUNCT
cana-2866	392	1	international	international	ADJ
cana-2866	392	2	journal	journal	NOUN
cana-2866	392	3	of	of	ADP
cana-2866	392	4	advanced	advanced	ADJ
cana-2866	392	5	computer	computer	NOUN
cana-2866	392	6	science	science	NOUN
cana-2866	392	7	and	and	CCONJ
cana-2866	392	8	applications	application	NOUN
cana-2866	392	9	,	,	PUNCT
cana-2866	392	10	8(7):286–290	8(7):286–290	NUM
cana-2866	392	11	,	,	PUNCT
cana-2866	392	12	2017	2017	NUM
cana-2866	392	13	.	.	PUNCT
cana-2866	393	1	[	[	X
cana-2866	393	2	11	11	NUM
cana-2866	393	3	]	]	X
cana-2866	393	4	fabrice	fabrice	PROPN
cana-2866	393	5	meriaudeau	meriaudeau	NOUN
cana-2866	393	6	.	.	PUNCT
cana-2866	394	1	et.al	et.al	PROPN
cana-2866	394	2	.	.	PUNCT
cana-2866	394	3	,	,	PUNCT
cana-2866	394	4	“	"	PUNCT
cana-2866	394	5	mammogram	mammogram	NOUN
cana-2866	394	6	classification	classification	NOUN
cana-2866	394	7	using	use	VERB
cana-2866	394	8	deep	deep	ADJ
cana-2866	394	9	learning	learning	NOUN
cana-2866	394	10	features	feature	NOUN
cana-2866	394	11	”	"	PUNCT
cana-2866	394	12	.	.	PUNCT
cana-2866	395	1	in	in	ADP
cana-2866	395	2	2017	2017	NUM
cana-2866	395	3	ieee	ieee	NOUN
cana-2866	395	4	international	international	ADJ
cana-2866	395	5	conference	conference	NOUN
cana-2866	395	6	on	on	ADP
cana-2866	395	7	signal	signal	NOUN
cana-2866	395	8	and	and	CCONJ
cana-2866	395	9	image	image	NOUN
cana-2866	395	10	processing	processing	NOUN
cana-2866	395	11	applications	application	NOUN
cana-2866	395	12	(	(	PUNCT
cana-2866	395	13	icsipa	icsipa	NOUN
cana-2866	395	14	)	)	PUNCT
cana-2866	395	15	,	,	PUNCT
cana-2866	395	16	pages	page	NOUN
cana-2866	395	17	485–488	485–488	NUM
cana-2866	395	18	.	.	PUNCT
cana-2866	396	1	ieee	ieee	NOUN
cana-2866	396	2	,	,	PUNCT
cana-2866	396	3	2017	2017	NUM
cana-2866	396	4	.	.	PUNCT
cana-2866	397	1	[	[	X
cana-2866	397	2	12	12	NUM
cana-2866	397	3	]	]	X
cana-2866	397	4	omar	omar	PROPN
cana-2866	397	5	alheyane	alheyane	NOUN
cana-2866	397	6	.	.	PUNCT
cana-2866	398	1	et.al	et.al	PROPN
cana-2866	398	2	.	.	PUNCT
cana-2866	398	3	,	,	PUNCT
cana-2866	398	4	“	"	PUNCT
cana-2866	398	5	deep	deep	ADJ
cana-2866	398	6	convolutional	convolutional	ADJ
cana-2866	398	7	neural	neural	ADJ
cana-2866	398	8	networks	network	NOUN
cana-2866	398	9	for	for	ADP
cana-2866	398	10	breast	breast	NOUN
cana-2866	398	11	cancer	cancer	NOUN
cana-2866	398	12	screening	screening	NOUN
cana-2866	398	13	”	"	PUNCT
cana-2866	398	14	.	.	PUNCT
cana-2866	399	1	computer	computer	NOUN
cana-2866	399	2	methods	method	NOUN
cana-2866	399	3	and	and	CCONJ
cana-2866	399	4	programs	program	NOUN
cana-2866	399	5	in	in	ADP
cana-2866	399	6	biomedicine	biomedicine	NOUN
cana-2866	399	7	,	,	PUNCT
cana-2866	399	8	157:19–30	157:19–30	NUM
cana-2866	399	9	,	,	PUNCT
cana-2866	399	10	2018	2018	NUM
cana-2866	399	11	.	.	PUNCT
cana-2866	400	1	[	[	X
cana-2866	400	2	13	13	NUM
cana-2866	400	3	]	]	PUNCT
cana-2866	400	4	xingming	xingme	VERB
cana-2866	400	5	sun	sun	PROPN
cana-2866	400	6	.	.	PUNCT
cana-2866	401	1	et.al	et.al	PROPN
cana-2866	401	2	.	.	PUNCT
cana-2866	402	1	,	,	PUNCT
cana-2866	402	2	“	"	PUNCT
cana-2866	402	3	fingerprint	fingerprint	NOUN
cana-2866	402	4	liveness	liveness	NOUN
cana-2866	402	5	detection	detection	NOUN
cana-2866	402	6	using	use	VERB
cana-2866	402	7	an	an	DET
cana-2866	402	8	improved	improved	ADJ
cana-2866	402	9	cnn	cnn	NOUN
cana-2866	402	10	with	with	ADP
cana-2866	402	11	image	image	NOUN
cana-2866	402	12	scale	scale	NOUN
cana-2866	402	13	equalization	equalization	NOUN
cana-2866	402	14	.	.	PUNCT
cana-2866	402	15	”	"	PUNCT
cana-2866	403	1	ieee	ieee	NOUN
cana-2866	403	2	access	access	NOUN
cana-2866	403	3	,	,	PUNCT
cana-2866	403	4	2019	2019	NUM
cana-2866	403	5	.	.	PUNCT
cana-2866	404	1	[	[	X
cana-2866	404	2	14	14	NUM
cana-2866	404	3	]	]	PUNCT
cana-2866	404	4	chunwei	chunwei	NOUN
cana-2866	404	5	tian	tian	PROPN
cana-2866	404	6	,	,	PUNCT
cana-2866	404	7	yong	yong	PROPN
cana-2866	404	8	xu	xu	PROPN
cana-2866	404	9	,	,	PUNCT
cana-2866	404	10	lunke	lunke	PROPN
cana-2866	404	11	fei	fei	PROPN
cana-2866	404	12	,	,	PUNCT
cana-2866	404	13	and	and	CCONJ
cana-2866	404	14	ke	ke	PROPN
cana-2866	404	15	yan	yan	PROPN
cana-2866	404	16	.	.	PUNCT
cana-2866	405	1	deep	deep	ADJ
cana-2866	405	2	learning	learning	NOUN
cana-2866	405	3	for	for	ADP
cana-2866	405	4	image	image	NOUN
cana-2866	405	5	denoising	denoising	NOUN
cana-2866	405	6	:	:	PUNCT
cana-2866	405	7	a	a	DET
cana-2866	405	8	survey	survey	NOUN
cana-2866	405	9	.	.	PUNCT
cana-2866	406	1	2018	2018	NUM
cana-2866	406	2	.	.	PUNCT
cana-2866	407	1	[	[	X
cana-2866	407	2	15	15	NUM
cana-2866	407	3	]	]	X
cana-2866	407	4	zhongwei	zhongwei	NOUN
cana-2866	407	5	.	.	PUNCT
cana-2866	408	1	et.al	et.al	PROPN
cana-2866	408	2	.	.	PUNCT
cana-2866	408	3	,	,	PUNCT
cana-2866	408	4	“	"	PUNCT
cana-2866	408	5	multi	multi	ADJ
cana-2866	408	6	-	-	ADJ
cana-2866	408	7	view	view	ADJ
cana-2866	408	8	convolutional	convolutional	ADJ
cana-2866	408	9	neural	neural	ADJ
cana-2866	408	10	networks	network	NOUN
cana-2866	408	11	for	for	ADP
cana-2866	408	12	mammographic	mammographic	ADJ
cana-2866	408	13	image	image	NOUN
cana-2866	408	14	classification	classification	NOUN
cana-2866	408	15	”	"	PUNCT
cana-2866	408	16	.	.	PUNCT
cana-2866	409	1	in	in	ADP
cana-2866	409	2	ieee	ieee	NOUN
cana-2866	409	3	access	access	NOUN
cana-2866	409	4	.	.	PUNCT
cana-2866	410	1	sep	sep	NOUN
cana-2866	410	2	2019	2019	NUM
cana-2866	410	3	10.1109	10.1109	NUM
cana-2866	410	4	/	/	SYM
cana-2866	410	5	access.2019.2939167	access.2019.2939167	NOUN
cana-2866	410	6	.	.	PUNCT
cana-2866	411	1	[	[	X
cana-2866	411	2	16	16	NUM
cana-2866	411	3	]	]	PUNCT
cana-2866	411	4	a.	a.	NOUN
cana-2866	411	5	zisserman	zisserman	PROPN
cana-2866	411	6	,	,	PUNCT
cana-2866	411	7	et.al	et.al	PROPN
cana-2866	411	8	.	.	PROPN
cana-2866	411	9	,	,	PUNCT
cana-2866	411	10	“	"	PUNCT
cana-2866	411	11	very	very	ADV
cana-2866	411	12	deep	deep	ADJ
cana-2866	411	13	convolutional	convolutional	ADJ
cana-2866	411	14	networks	network	NOUN
cana-2866	411	15	for	for	ADP
cana-2866	411	16	large	large	ADJ
cana-2866	411	17	-	-	PUNCT
cana-2866	411	18	scale	scale	NOUN
cana-2866	411	19	image	image	NOUN
cana-2866	411	20	recognition,”2014	recognition,”2014	NOUN
cana-2866	411	21	,	,	PUNCT
cana-2866	411	22	arxiv:1409.1556	arxiv:1409.1556	NOUN
cana-2866	411	23	.	.	PUNCT
cana-2866	412	1	http://arxiv.org/abs/1409.1556	http://arxiv.org/abs/1409.1556	NOUN
cana-2866	413	1	[	[	X
cana-2866	413	2	17	17	NUM
cana-2866	413	3	]	]	PUNCT
cana-2866	413	4	k.	k.	PROPN
cana-2866	413	5	yan	yan	PROPN
cana-2866	413	6	,	,	PUNCT
cana-2866	413	7	et.al	et.al	PROPN
cana-2866	413	8	.	.	PROPN
cana-2866	413	9	,	,	PUNCT
cana-2866	413	10	“	"	PUNCT
cana-2866	413	11	deep	deep	ADJ
cana-2866	413	12	learning	learning	NOUN
cana-2866	413	13	for	for	ADP
cana-2866	413	14	image	image	NOUN
cana-2866	413	15	denoising	denoising	NOUN
cana-2866	413	16	:	:	PUNCT
cana-2866	413	17	a	a	DET
cana-2866	413	18	survey	survey	NOUN
cana-2866	413	19	,	,	PUNCT
cana-2866	413	20	”	"	PUNCT
cana-2866	413	21	proc	proc	NOUN
cana-2866	413	22	.	.	PUNCT
cana-2866	414	1	int	int	NOUN
cana-2866	414	2	.	.	PUNCT
cana-2866	414	3	conf	conf	PROPN
cana-2866	414	4	.	.	PUNCT
cana-2866	415	1	genet	genet	NOUN
cana-2866	415	2	.	.	PUNCT
cana-2866	416	1	evol	evol	NOUN
cana-2866	416	2	.	.	PUNCT
cana-2866	417	1	comput	comput	NOUN
cana-2866	417	2	.	.	PUNCT
cana-2866	417	3	,	,	PUNCT
cana-2866	417	4	pp	pp	ADP
cana-2866	417	5	.	.	PUNCT
cana-2866	418	1	563–572	563–572	X
cana-2866	418	2	.	.	PUNCT
cana-2866	419	1	http://dx.doi.org/10.1109/access.2018.2885997	http://dx.doi.org/10.1109/access.2018.2885997	PROPN
cana-2866	419	2	http://dx.doi.org/10.3322/caac.21412	http://dx.doi.org/10.3322/caac.21412	PRON
cana-2866	419	3	http://dx.doi.org/10.3322/caac.21412	http://dx.doi.org/10.3322/caac.21412	X
cana-2866	419	4	http://arxiv.org/abs/1409.1556	http://arxiv.org/abs/1409.1556	NOUN
cana-2866	419	5	communications	communication	NOUN
cana-2866	419	6	on	on	ADP
cana-2866	419	7	applied	apply	VERB
cana-2866	419	8	nonlinear	nonlinear	ADJ
cana-2866	419	9	analysis	analysis	NOUN
cana-2866	419	10	issn	issn	NOUN
cana-2866	419	11	:	:	PUNCT
cana-2866	419	12	1074	1074	NUM
cana-2866	419	13	-	-	PUNCT
cana-2866	419	14	133x	133x	NUM
cana-2866	419	15	vol	vol	NOUN
cana-2866	419	16	32	32	NUM
cana-2866	419	17	no	no	NOUN
cana-2866	419	18	.	.	PUNCT
cana-2866	420	1	4s	4s	NUM
cana-2866	420	2	(	(	PUNCT
cana-2866	420	3	2025	2025	NUM
cana-2866	420	4	)	)	PUNCT
cana-2866	420	5	498	498	NUM
cana-2866	420	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2866	420	7	may	may	PROPN
cana-2866	420	8	2019	2019	NUM
cana-2866	420	9	.	.	PUNCT
cana-2866	421	1	[	[	X
cana-2866	421	2	18	18	NUM
cana-2866	421	3	]	]	PUNCT
cana-2866	421	4	azmi	azmi	PROPN
cana-2866	421	5	,	,	PUNCT
cana-2866	421	6	et.al	et.al	PROPN
cana-2866	421	7	.	.	PROPN
cana-2866	421	8	,	,	PUNCT
cana-2866	421	9	“	"	PUNCT
cana-2866	421	10	deep	deep	ADJ
cana-2866	421	11	learning	learning	NOUN
cana-2866	421	12	-	-	PUNCT
cana-2866	421	13	based	base	VERB
cana-2866	421	14	breast	breast	NOUN
cana-2866	421	15	cancer	cancer	NOUN
cana-2866	421	16	classification	classification	NOUN
cana-2866	421	17	through	through	ADP
cana-2866	421	18	medical	medical	ADJ
cana-2866	421	19	imaging	imaging	NOUN
cana-2866	421	20	modalities	modality	NOUN
cana-2866	421	21	:	:	PUNCT
cana-2866	421	22	state	state	NOUN
cana-2866	421	23	of	of	ADP
cana-2866	421	24	the	the	DET
cana-2866	421	25	art	art	NOUN
cana-2866	421	26	and	and	CCONJ
cana-2866	421	27	research	research	NOUN
cana-2866	421	28	challenges	challenge	NOUN
cana-2866	421	29	”	"	PUNCT
cana-2866	421	30	.	.	PUNCT
cana-2866	422	1	ai	ai	VERB
cana-2866	422	2	doi	doi	NOUN
cana-2866	422	3	:	:	PUNCT
cana-2866	422	4	10.1007	10.1007	NUM
cana-2866	422	5	/	/	SYM
cana-2866	422	6	s10462	s10462	NOUN
cana-2866	422	7	-	-	PUNCT
cana-2866	422	8	019	019	NUM
cana-2866	422	9	-	-	PUNCT
cana-2866	422	10	09716	09716	NUM
cana-2866	422	11	-	-	SYM
cana-2866	422	12	5	5	NUM
cana-2866	422	13	.	.	PUNCT
cana-2866	422	14	(	(	PUNCT
cana-2866	422	15	2020	2020	NUM
cana-2866	422	16	)	)	PUNCT
cana-2866	422	17	.	.	PUNCT
cana-2866	423	1	[	[	X
cana-2866	423	2	19	19	NUM
cana-2866	423	3	]	]	X
cana-2866	423	4	karacavus	karacavus	PROPN
cana-2866	423	5	,	,	PUNCT
cana-2866	423	6	et.al	et.al	PROPN
cana-2866	423	7	.	.	PROPN
cana-2866	423	8	,	,	PUNCT
cana-2866	423	9	“	"	PUNCT
cana-2866	423	10	detection	detection	NOUN
cana-2866	423	11	of	of	ADP
cana-2866	423	12	breast	breast	NOUN
cana-2866	423	13	cancer	cancer	NOUN
cana-2866	423	14	via	via	ADP
cana-2866	423	15	deep	deep	ADJ
cana-2866	423	16	convolution	convolution	NOUN
cana-2866	423	17	neural	neural	ADJ
cana-2866	423	18	networks	network	NOUN
cana-2866	423	19	using	use	VERB
cana-2866	423	20	mri	mri	NOUN
cana-2866	423	21	images	image	NOUN
cana-2866	423	22	,	,	PUNCT
cana-2866	423	23	”	"	PUNCT
cana-2866	423	24	in	in	ADP
cana-2866	423	25	multimedia	multimedia	NOUN
cana-2866	423	26	tools	tool	NOUN
cana-2866	423	27	appl	appl	NOUN
cana-2866	423	28	.	.	PUNCT
cana-2866	423	29	,	,	PUNCT
cana-2866	423	30	vol	vol	NOUN
cana-2866	423	31	.	.	PROPN
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cana-2866	423	33	,	,	PUNCT
cana-2866	423	34	pp	pp	ADJ
cana-2866	423	35	.	.	PUNCT
cana-2866	424	1	15555–15573	15555–15573	NUM
cana-2866	424	2	,	,	PUNCT
cana-2866	424	3	jun	jun	PROPN
cana-2866	424	4	2020	2020	NUM
cana-2866	424	5	.	.	PUNCT
cana-2866	425	1	[	[	X
cana-2866	425	2	20	20	NUM
cana-2866	425	3	]	]	PUNCT
cana-2866	425	4	arshad	arshad	PROPN
cana-2866	425	5	hashmi	hashmi	PROPN
cana-2866	425	6	,	,	PUNCT
cana-2866	425	7	et.al	et.al	PROPN
cana-2866	425	8	.	.	PROPN
cana-2866	425	9	,	,	PUNCT
cana-2866	425	10	“	"	PUNCT
cana-2866	425	11	automated	automate	VERB
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cana-2866	425	14	classification	classification	NOUN
cana-2866	425	15	system	system	NOUN
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cana-2866	425	17	deep	deep	ADJ
cana-2866	425	18	learning	learning	NOUN
cana-2866	425	19	and	and	CCONJ
cana-2866	425	20	ensemble	ensemble	ADJ
cana-2866	425	21	learning	learning	NOUN
cana-2866	425	22	in	in	ADP
cana-2866	425	23	digital	digital	ADJ
cana-2866	425	24	mammogram	mammogram	NOUN
cana-2866	425	25	,	,	PUNCT
cana-2866	425	26	”	"	PUNCT
cana-2866	425	27	ieee	ieee	NOUN
cana-2866	425	28	access	access	NOUN
cana-2866	425	29	,	,	PUNCT
cana-2866	425	30	vol	vol	NOUN
cana-2866	425	31	.	.	NOUN
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cana-2866	425	33	,	,	PUNCT
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cana-2866	425	35	.	.	PUNCT
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cana-2866	425	37	-	-	SYM
cana-2866	425	38	55328	55328	NUM
cana-2866	425	39	,	,	PUNCT
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cana-2866	425	41	,	,	PUNCT
cana-2866	425	42	doi	doi	NOUN
cana-2866	425	43	:	:	PUNCT
cana-2866	425	44	10.1109	10.1109	NUM
cana-2866	425	45	/	/	SYM
cana-2866	425	46	access.2021.3071297	access.2021.3071297	PROPN
cana-2866	425	47	[	[	X
cana-2866	425	48	21	21	NUM
cana-2866	425	49	]	]	PUNCT
cana-2866	425	50	m.	m.	NOUN
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cana-2866	425	52	,	,	PUNCT
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cana-2866	425	54	.	.	PROPN
cana-2866	425	55	,	,	PUNCT
cana-2866	425	56	“	"	PUNCT
cana-2866	425	57	a	a	DET
cana-2866	425	58	novel	novel	ADJ
cana-2866	425	59	hybrid	hybrid	ADJ
cana-2866	425	60	k	k	NOUN
cana-2866	425	61	-	-	PUNCT
cana-2866	425	62	means	means	PROPN
cana-2866	425	63	and	and	CCONJ
cana-2866	425	64	gmm	gmm	PROPN
cana-2866	425	65	machine	machine	NOUN
cana-2866	425	66	learning	learn	VERB
cana-2866	425	67	model	model	NOUN
cana-2866	425	68	for	for	ADP
cana-2866	425	69	breast	breast	NOUN
cana-2866	425	70	cancer	cancer	NOUN
cana-2866	425	71	detection	detection	NOUN
cana-2866	425	72	,	,	PUNCT
cana-2866	425	73	”	"	PUNCT
cana-2866	425	74	ieee	ieee	NOUN
cana-2866	425	75	access	access	NOUN
cana-2866	425	76	,	,	PUNCT
cana-2866	425	77	vol	vol	NOUN
cana-2866	425	78	.	.	NOUN
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cana-2866	425	80	,	,	PUNCT
cana-2866	425	81	pp	pp	ADJ
cana-2866	425	82	.	.	PUNCT
cana-2866	426	1	146153	146153	NUM
cana-2866	426	2	-	-	SYM
cana-2866	426	3	146162	146162	NUM
cana-2866	426	4	,	,	PUNCT
cana-2866	426	5	27	27	NUM
cana-2866	426	6	october	october	NOUN
cana-2866	426	7	2021	2021	NUM
cana-2866	426	8	,	,	PUNCT
cana-2866	426	9	doi	doi	NOUN
cana-2866	426	10	:	:	PUNCT
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cana-2866	426	12	/	/	SYM
cana-2866	426	13	access.2021.3123425	access.2021.3123425	NOUN
cana-2866	427	1	[	[	NOUN
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cana-2866	427	3	]	]	PUNCT
cana-2866	427	4	zhiqiong	zhiqiong	NOUN
cana-2866	427	5	wang	wang	PROPN
cana-2866	427	6	et	et	PROPN
cana-2866	427	7	al	al	PROPN
cana-2866	427	8	.	.	PROPN
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cana-2866	427	10	"	"	PUNCT
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cana-2866	427	12	cancer	cancer	NOUN
cana-2866	427	13	detection	detection	NOUN
cana-2866	427	14	using	use	VERB
cana-2866	427	15	extreme	extreme	ADJ
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cana-2866	427	17	machine	machine	NOUN
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cana-2866	427	19	on	on	ADP
cana-2866	427	20	feature	feature	NOUN
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cana-2866	427	26	,	,	PUNCT
cana-2866	427	27	"	"	PUNCT
cana-2866	427	28	in	in	ADP
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cana-2866	427	30	access	access	NOUN
cana-2866	427	31	,	,	PUNCT
cana-2866	427	32	vol	vol	NOUN
cana-2866	427	33	.	.	PROPN
cana-2866	427	34	7	7	NUM
cana-2866	427	35	,	,	PUNCT
cana-2866	427	36	pp	pp	ADJ
cana-2866	427	37	.	.	PUNCT
cana-2866	428	1	105146	105146	NUM
cana-2866	428	2	-	-	SYM
cana-2866	428	3	105158	105158	NUM
cana-2866	428	4	,	,	PUNCT
cana-2866	428	5	16	16	NUM
cana-2866	428	6	january	january	PROPN
cana-2866	428	7	2019	2019	NUM
cana-2866	428	8	,	,	PUNCT
cana-2866	428	9	doi	doi	NOUN
cana-2866	428	10	:	:	PUNCT
cana-2866	428	11	10.1109	10.1109	NUM
cana-2866	428	12	/	/	SYM
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cana-2866	429	1	[	[	X
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cana-2866	429	5	n.	n.	PROPN
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cana-2866	429	9	“	"	PUNCT
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cana-2866	429	18	for	for	ADP
cana-2866	429	19	breast	breast	NOUN
cana-2866	429	20	cancer	cancer	NOUN
cana-2866	429	21	boundary	boundary	NOUN
cana-2866	429	22	and	and	CCONJ
cana-2866	429	23	pectoral	pectoral	ADJ
cana-2866	429	24	muscle	muscle	NOUN
cana-2866	429	25	in	in	ADP
cana-2866	429	26	mammogram	mammogram	NOUN
cana-2866	429	27	images	image	NOUN
cana-2866	429	28	,	,	PUNCT
cana-2866	429	29	”	"	PUNCT
cana-2866	429	30	ieee	ieee	NOUN
cana-2866	429	31	access	access	NOUN
cana-2866	429	32	,	,	PUNCT
cana-2866	429	33	volume	volume	NOUN
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cana-2866	429	35	,	,	PUNCT
cana-2866	429	36	pp.203097	pp.203097	NOUN
cana-2866	429	37	-	-	SYM
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cana-2866	429	39	,	,	PUNCT
cana-2866	429	40	2020	2020	NUM
cana-2866	429	41	,	,	PUNCT
cana-2866	429	42	doi	doi	NOUN
cana-2866	429	43	:	:	PUNCT
cana-2866	429	44	10.1109	10.1109	NUM
cana-2866	429	45	/	/	SYM
cana-2866	429	46	access.2020.3036072	access.2020.3036072	NOUN
cana-2866	429	47	.	.	PUNCT
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cana-2866	430	2	24	24	NUM
cana-2866	430	3	]	]	PUNCT
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cana-2866	430	5	.	.	PUNCT
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cana-2866	430	7	.	.	PUNCT
cana-2866	430	8	,	,	PUNCT
cana-2866	430	9	“	"	PUNCT
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cana-2866	430	11	clip	clip	NOUN
cana-2866	430	12	limit	limit	NOUN
cana-2866	430	13	tile	tile	NOUN
cana-2866	430	14	size	size	NOUN
cana-2866	430	15	histogram	histogram	NOUN
cana-2866	430	16	equalization	equalization	NOUN
cana-2866	430	17	for	for	ADP
cana-2866	430	18	non	non	ADJ
cana-2866	430	19	-	-	ADJ
cana-2866	430	20	homogenized	homogenized	ADJ
cana-2866	430	21	intensity	intensity	NOUN
cana-2866	430	22	images	image	NOUN
cana-2866	430	23	”	"	PUNCT
cana-2866	430	24	in	in	ADP
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cana-2866	432	2	-	-	SYM
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cana-2866	432	4	.	.	PUNCT
cana-2866	432	5	doi	doi	NOUN
cana-2866	432	6	:	:	PUNCT
cana-2866	432	7	10.1109	10.1109	NUM
cana-2866	432	8	/	/	SYM
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cana-2866	432	14	]	]	PUNCT
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cana-2866	432	24	-	-	ADJ
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cana-2866	432	27	neural	neural	ADJ
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cana-2866	432	29	for	for	ADP
cana-2866	432	30	lung	lung	NOUN
cana-2866	432	31	nodule	nodule	NOUN
cana-2866	432	32	false	false	ADJ
cana-2866	432	33	positive	positive	ADJ
cana-2866	432	34	reduction	reduction	NOUN
cana-2866	432	35	,	,	PUNCT
cana-2866	432	36	”	"	PUNCT
cana-2866	432	37	in	in	ADP
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cana-2866	432	40	.	.	PUNCT
cana-2866	433	1	appl	appl	PROPN
cana-2866	433	2	.	.	PROPN
cana-2866	433	3	,	,	PUNCT
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cana-2866	433	5	.	.	PROPN
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cana-2866	433	7	,	,	PUNCT
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cana-2866	435	17	interference	interference	NOUN
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cana-2866	435	23	-	-	PUNCT
cana-2866	435	24	doppler	doppler	NOUN
cana-2866	435	25	images	image	NOUN
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cana-2866	435	27	by	by	ADP
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cana-2866	435	30	”	"	PUNCT
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cana-2866	435	32	access	access	NOUN
cana-2866	435	33	,	,	PUNCT
cana-2866	435	34	vol	vol	NOUN
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cana-2866	435	43	.	.	PUNCT
cana-2866	436	1	[	[	X
cana-2866	436	2	27	27	NUM
cana-2866	436	3	]	]	X
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cana-2866	436	10	,“microcalcification	,“microcalcification	PUNCT
cana-2866	436	11	detection	detection	NOUN
cana-2866	436	12	in	in	ADP
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cana-2866	436	14	-	-	PUNCT
cana-2866	436	15	field	field	NOUN
cana-2866	436	16	digital	digital	ADJ
cana-2866	436	17	mammograms	mammogram	NOUN
cana-2866	436	18	:	:	PUNCT
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cana-2866	436	20	fully	fully	ADV
cana-2866	436	21	automated	automate	VERB
cana-2866	436	22	computeraided	computeraide	VERB
cana-2866	436	23	system	system	NOUN
cana-2866	436	24	,	,	PUNCT
cana-2866	436	25	”	"	PUNCT
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cana-2866	436	27	in	in	ADP
cana-2866	436	28	phys	phy	NOUN
cana-2866	436	29	.	.	PUNCT
cana-2866	437	1	medica	medica	PROPN
cana-2866	437	2	,	,	PUNCT
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cana-2866	437	8	.	.	PUNCT
cana-2866	438	1	1–9	1–9	NOUN
cana-2866	438	2	.	.	PUNCT
cana-2866	439	1	[	[	X
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cana-2866	439	4	m.	m.	NOUN
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cana-2866	439	10	.	.	PROPN
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cana-2866	439	12	“	"	PUNCT
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cana-2866	439	16	mammography	mammography	NOUN
cana-2866	439	17	mass	mass	NOUN
cana-2866	439	18	lesion	lesion	NOUN
cana-2866	439	19	classification	classification	NOUN
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cana-2866	439	23	networks	network	NOUN
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cana-2866	439	25	”	"	PUNCT
cana-2866	439	26	comput	comput	NOUN
cana-2866	439	27	.	.	PUNCT
cana-2866	440	1	methods	method	NOUN
cana-2866	440	2	programs	program	NOUN
cana-2866	440	3	biomed	biome	VERB
cana-2866	440	4	.	.	PUNCT
cana-2866	441	1	,	,	PUNCT
cana-2866	441	2	vol	vol	NOUN
cana-2866	441	3	.	.	PUNCT
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cana-2866	442	2	,	,	PUNCT
cana-2866	442	3	pp	pp	ADJ
cana-2866	442	4	.	.	PUNCT
cana-2866	443	1	248–257	248–257	NUM
cana-2866	443	2	,	,	PUNCT
cana-2866	443	3	apr	apr	NOUN
cana-2866	443	4	.	.	PROPN
cana-2866	443	5	2016	2016	NUM
cana-2866	443	6	.	.	PUNCT
cana-2866	444	1	[	[	X
cana-2866	444	2	29	29	NUM
cana-2866	444	3	]	]	X
cana-2866	444	4	michailovich	michailovich	NOUN
cana-2866	444	5	ov	ov	PROPN
cana-2866	444	6	,	,	PUNCT
cana-2866	444	7	et.al	et.al	PROPN
cana-2866	444	8	.	.	PROPN
cana-2866	444	9	,	,	PUNCT
cana-2866	444	10	“	"	PUNCT
cana-2866	444	11	on	on	ADP
cana-2866	444	12	segmentation	segmentation	NOUN
cana-2866	444	13	of	of	ADP
cana-2866	444	14	pectoral	pectoral	ADJ
cana-2866	444	15	muscle	muscle	NOUN
cana-2866	444	16	in	in	ADP
cana-2866	444	17	digital	digital	ADJ
cana-2866	444	18	mammograms	mammogram	NOUN
cana-2866	444	19	by	by	ADP
cana-2866	444	20	means	mean	NOUN
cana-2866	444	21	of	of	ADP
cana-2866	444	22	deep	deep	ADJ
cana-2866	444	23	learning	learning	NOUN
cana-2866	444	24	,	,	PUNCT
cana-2866	444	25	”	"	PUNCT
cana-2866	444	26	in	in	ADP
cana-2866	444	27	ieee	ieee	NOUN
cana-2866	444	28	access	access	NOUN
cana-2866	444	29	,	,	PUNCT
cana-2866	444	30	vol	vol	NOUN
cana-2866	444	31	.	.	PROPN
cana-2866	444	32	8	8	NUM
cana-2866	444	33	,	,	PUNCT
cana-2866	444	34	pp	pp	ADJ
cana-2866	444	35	.	.	PUNCT
cana-2866	445	1	204173–204182	204173–204182	NUM
cana-2866	445	2	,	,	PUNCT
cana-2866	445	3	nov	nov	PROPN
cana-2866	445	4	.	.	PROPN
cana-2866	445	5	2020	2020	NUM
cana-2866	445	6	.	.	PUNCT
cana-2866	446	1	[	[	X
cana-2866	446	2	30	30	NUM
cana-2866	446	3	]	]	X
cana-2866	446	4	a.p	a.p	PROPN
cana-2866	446	5	.	.	PROPN
cana-2866	446	6	siva	siva	PROPN
cana-2866	446	7	kumar	kumar	PROPN
cana-2866	446	8	,	,	PUNCT
cana-2866	446	9	et.al	et.al	PROPN
cana-2866	446	10	.	.	PROPN
cana-2866	446	11	,	,	PUNCT
cana-2866	446	12	“	"	PUNCT
cana-2866	446	13	classification	classification	NOUN
cana-2866	446	14	of	of	ADP
cana-2866	446	15	textures	texture	NOUN
cana-2866	446	16	using	use	VERB
cana-2866	446	17	a	a	DET
cana-2866	446	18	new	new	ADJ
cana-2866	446	19	descriptor	descriptor	NOUN
cana-2866	446	20	circular	circular	ADJ
cana-2866	446	21	and	and	CCONJ
cana-2866	446	22	elliptical	elliptical	ADJ
cana-2866	446	23	-	-	PUNCT
cana-2866	446	24	lbp	lbp	NOUN
cana-2866	446	25	(	(	PUNCT
cana-2866	446	26	ce	ce	PROPN
cana-2866	446	27	-	-	NOUN
cana-2866	446	28	elbp	elbp	PROPN
cana-2866	446	29	)	)	PUNCT
cana-2866	446	30	”	"	PUNCT
cana-2866	446	31	,	,	PUNCT
cana-2866	446	32	international	international	ADJ
cana-2866	446	33	journal	journal	NOUN
cana-2866	446	34	of	of	ADP
cana-2866	446	35	applied	apply	VERB
cana-2866	446	36	engineering	engineering	NOUN
cana-2866	446	37	research	research	NOUN
cana-2866	446	38	,	,	PUNCT
cana-2866	446	39	issn	issn	PROPN
cana-2866	446	40	0973	0973	NUM
cana-2866	446	41	-	-	SYM
cana-2866	446	42	4562	4562	NUM
cana-2866	446	43	volume	volume	NOUN
cana-2866	446	44	12	12	NUM
cana-2866	446	45	,	,	PUNCT
cana-2866	446	46	number	number	NOUN
cana-2866	446	47	19	19	NUM
cana-2866	446	48	(	(	PUNCT
cana-2866	446	49	2017	2017	NUM
cana-2866	446	50	)	)	PUNCT
cana-2866	446	51	pp	pp	ADV
cana-2866	446	52	.	.	PUNCT
cana-2866	447	1	88448853	88448853	NUM
cana-2866	447	2	.	.	PUNCT
cana-2866	448	1	[	[	X
cana-2866	448	2	31	31	NUM
cana-2866	448	3	]	]	PUNCT
cana-2866	448	4	b.	b.	PROPN
cana-2866	448	5	sujatha	sujatha	PROPN
cana-2866	448	6	,	,	PUNCT
cana-2866	448	7	,	,	PUNCT
cana-2866	448	8	et.al	et.al	PROPN
cana-2866	448	9	.	.	PROPN
cana-2866	448	10	,	,	PUNCT
cana-2866	448	11	“	"	PUNCT
cana-2866	448	12	texture	texture	ADJ
cana-2866	448	13	classification	classification	NOUN
cana-2866	448	14	based	base	VERB
cana-2866	448	15	on	on	ADP
cana-2866	448	16	extraction	extraction	NOUN
cana-2866	448	17	of	of	ADP
cana-2866	448	18	skeleton	skeleton	NOUN
cana-2866	448	19	primitives	primitive	NOUN
cana-2866	448	20	using	use	VERB
cana-2866	448	21	wavelets	wavelet	NOUN
cana-2866	448	22	”	"	PUNCT
cana-2866	448	23	,	,	PUNCT
cana-2866	448	24	information	information	NOUN
cana-2866	448	25	technology	technology	NOUN
cana-2866	448	26	journal(itj	journal(itj	PROPN
cana-2866	448	27	)	)	PUNCT
cana-2866	448	28	,	,	PUNCT
cana-2866	448	29	vol.7	vol.7	PROPN
cana-2866	448	30	,	,	PUNCT
cana-2866	448	31	no.6	no.6	PROPN
cana-2866	448	32	,	,	PUNCT
cana-2866	448	33	2008	2008	NUM
cana-2866	448	34	,	,	PUNCT
cana-2866	448	35	pp.883	pp.883	NOUN
cana-2866	448	36	-	-	PUNCT
cana-2866	448	37	889	889	NUM
cana-2866	448	38	,	,	PUNCT
cana-2866	448	39	issn	issn	PROPN
cana-2866	448	40	:	:	PUNCT
cana-2866	448	41	1812	1812	NUM
cana-2866	448	42	-	-	SYM
cana-2866	448	43	5638	5638	NUM
cana-2866	448	44	.	.	PUNCT
cana-2866	449	1	[	[	X
cana-2866	449	2	32	32	NUM
cana-2866	449	3	]	]	SYM
cana-2866	449	4	a.suresh	a.suresh	ADJ
cana-2866	449	5	,	,	PUNCT
cana-2866	449	6	et.al	et.al	PROPN
cana-2866	449	7	.	.	PROPN
cana-2866	449	8	,	,	PUNCT
cana-2866	449	9	“	"	PUNCT
cana-2866	449	10	classification	classification	NOUN
cana-2866	449	11	of	of	ADP
cana-2866	449	12	textures	texture	NOUN
cana-2866	449	13	by	by	ADP
cana-2866	449	14	avoiding	avoid	VERB
cana-2866	449	15	complex	complex	ADJ
cana-2866	449	16	patterns	pattern	NOUN
cana-2866	449	17	”	"	PUNCT
cana-2866	449	18	,	,	PUNCT
cana-2866	449	19	journal	journal	NOUN
cana-2866	449	20	of	of	ADP
cana-2866	449	21	computer	computer	NOUN
cana-2866	449	22	science	science	NOUN
cana-2866	449	23	,	,	PUNCT
cana-2866	449	24	science	science	NOUN
cana-2866	449	25	publications	publication	NOUN
cana-2866	449	26	,	,	PUNCT
cana-2866	449	27	vol.4	vol.4	PROPN
cana-2866	449	28	,	,	PUNCT
cana-2866	449	29	iss.2	iss.2	PROPN
cana-2866	449	30	,	,	PUNCT
cana-2866	449	31	2008	2008	NUM
cana-2866	449	32	,	,	PUNCT
cana-2866	449	33	pp.133	pp.133	PROPN
cana-2866	449	34	-	-	ADJ
cana-2866	449	35	138	138	NUM
cana-2866	449	36	,	,	PUNCT
cana-2866	449	37	issn	issn	PROPN
cana-2866	449	38	:	:	PUNCT
cana-2866	449	39	1552	1552	NUM
cana-2866	449	40	-	-	SYM
cana-2866	449	41	6607	6607	NUM
cana-2866	449	42	.	.	PUNCT
cana-2866	450	1	[	[	X
cana-2866	450	2	33	33	NUM
cana-2866	450	3	]	]	PUNCT
cana-2866	450	4	l.	l.	PROPN
cana-2866	450	5	sumalatha	sumalatha	PROPN
cana-2866	450	6	,	,	PUNCT
cana-2866	450	7	et.al	et.al	PROPN
cana-2866	450	8	.	.	PROPN
cana-2866	450	9	,	,	PUNCT
cana-2866	450	10	“	"	PUNCT
cana-2866	450	11	cross	cross	VERB
cana-2866	450	12	diagonal	diagonal	ADJ
cana-2866	450	13	derivation	derivation	NOUN
cana-2866	450	14	direction	direction	NOUN
cana-2866	450	15	matrix	matrix	NOUN
cana-2866	450	16	for	for	ADP
cana-2866	450	17	efficient	efficient	ADJ
cana-2866	450	18	image	image	NOUN
cana-2866	450	19	retrieval	retrieval	NOUN
cana-2866	450	20	”	"	PUNCT
cana-2866	450	21	,	,	PUNCT
cana-2866	450	22	jour	jour	X
cana-2866	450	23	of	of	ADP
cana-2866	450	24	adv	adv	PROPN
cana-2866	450	25	research	research	NOUN
cana-2866	450	26	in	in	ADP
cana-2866	450	27	dynamical	dynamical	ADJ
cana-2866	450	28	&	&	CCONJ
cana-2866	450	29	control	control	PROPN
cana-2866	450	30	systems	systems	PROPN
cana-2866	450	31	vol	vol	NOUN
cana-2866	450	32	.	.	PUNCT
cana-2866	451	1	10	10	NUM
cana-2866	451	2	,	,	PUNCT
cana-2866	451	3	no	no	INTJ
cana-2866	451	4	.	.	NOUN
cana-2866	451	5	4	4	NUM
cana-2866	451	6	,	,	PUNCT
cana-2866	451	7	pg.284	pg.284	NOUN
cana-2866	451	8	-	-	SYM
cana-2866	451	9	295	295	NUM
cana-2866	451	10	,	,	PUNCT
cana-2866	451	11	2018	2018	NUM
cana-2866	452	1	[	[	SYM
cana-2866	452	2	34	34	NUM
cana-2866	452	3	]	]	X
cana-2866	452	4	l.	l.	PROPN
cana-2866	452	5	sumalatha	sumalatha	PROPN
cana-2866	452	6	,	,	PUNCT
cana-2866	452	7	et.al	et.al	PROPN
cana-2866	452	8	.	.	PROPN
cana-2866	452	9	,	,	PUNCT
cana-2866	452	10	“	"	PUNCT
cana-2866	452	11	image	image	NOUN
cana-2866	452	12	retrieval	retrieval	NOUN
cana-2866	452	13	based	base	VERB
cana-2866	452	14	local	local	ADJ
cana-2866	452	15	motif	motif	NOUN
cana-2866	452	16	patterns	pattern	NOUN
cana-2866	452	17	code	code	NOUN
cana-2866	452	18	”	"	PUNCT
cana-2866	452	19	i.j	i.j	PROPN
cana-2866	452	20	.	.	PROPN
cana-2866	452	21	image	image	NOUN
cana-2866	452	22	,	,	PUNCT
cana-2866	452	23	graphics	graphic	NOUN
cana-2866	452	24	and	and	CCONJ
cana-2866	452	25	signal	signal	PROPN
cana-2866	452	26	processing	processing	NOUN
cana-2866	452	27	,	,	PUNCT
cana-2866	452	28	2018	2018	NUM
cana-2866	452	29	,	,	PUNCT
cana-2866	452	30	6	6	NUM
cana-2866	452	31	,	,	PUNCT
cana-2866	452	32	68	68	NUM
cana-2866	452	33	-	-	SYM
cana-2866	452	34	78	78	NUM
cana-2866	452	35	.	.	PUNCT
cana-2866	452	36	,	,	PUNCT
cana-2866	452	37	2018	2018	NUM
cana-2866	452	38	,	,	PUNCT
cana-2866	452	39	6	6	NUM
cana-2866	452	40	,	,	PUNCT
cana-2866	452	41	68	68	NUM
cana-2866	452	42	-	-	SYM
cana-2866	452	43	78	78	NUM
cana-2866	452	44	.	.	PUNCT
cana-2866	453	1	[	[	X
cana-2866	453	2	35	35	NUM
cana-2866	453	3	]	]	X
cana-2866	453	4	l.	l.	PROPN
cana-2866	453	5	sumalatha	sumalatha	PROPN
cana-2866	453	6	,	,	PUNCT
cana-2866	453	7	et.al	et.al	PROPN
cana-2866	453	8	.	.	PROPN
cana-2866	453	9	,	,	PUNCT
cana-2866	453	10	“	"	PUNCT
cana-2866	453	11	content	content	NOUN
cana-2866	453	12	based	base	VERB
cana-2866	453	13	image	image	NOUN
cana-2866	453	14	retrieval	retrieval	NOUN
cana-2866	453	15	using	use	VERB
cana-2866	453	16	multi	multi	ADJ
cana-2866	453	17	motif	motif	NOUN
cana-2866	453	18	co	co	NOUN
cana-2866	453	19	-	-	NOUN
cana-2866	453	20	occurrence	occurrence	ADJ
cana-2866	453	21	matrix	matrix	NOUN
cana-2866	453	22	,	,	PUNCT
cana-2866	453	23	”	"	PUNCT
cana-2866	453	24	i.j	i.j	PROPN
cana-2866	453	25	.	.	PROPN
cana-2866	453	26	image	image	NOUN
cana-2866	453	27	,	,	PUNCT
cana-2866	453	28	graphics	graphic	NOUN
cana-2866	453	29	and	and	CCONJ
cana-2866	453	30	signal	signal	PROPN
cana-2866	453	31	processing	processing	NOUN
cana-2866	453	32	,	,	PUNCT
cana-2866	453	33	2018	2018	NUM
cana-2866	453	34	,	,	PUNCT
cana-2866	453	35	2018	2018	NUM
cana-2866	453	36	,	,	PUNCT
cana-2866	453	37	4	4	NUM
cana-2866	453	38	,	,	PUNCT
cana-2866	453	39	59	59	NUM
cana-2866	453	40	-	-	SYM
cana-2866	453	41	72	72	NUM
cana-2866	453	42	.	.	PUNCT
cana-2866	454	1	[	[	X
cana-2866	454	2	36	36	NUM
cana-2866	454	3	]	]	X
cana-2866	454	4	ch	ch	PROPN
cana-2866	454	5	.	.	PUNCT
cana-2866	454	6	satyanarayana	satyanarayana	PROPN
cana-2866	454	7	,	,	PUNCT
cana-2866	454	8	et.al	et.al	PROPN
cana-2866	454	9	.	.	PROPN
cana-2866	454	10	,	,	PUNCT
cana-2866	454	11	“	"	PUNCT
cana-2866	454	12	texture	texture	ADJ
cana-2866	454	13	classification	classification	NOUN
cana-2866	454	14	using	use	VERB
cana-2866	454	15	complete	complete	ADJ
cana-2866	454	16	texton	texton	PROPN
cana-2866	454	17	matrix	matrix	NOUN
cana-2866	454	18	”	"	PUNCT
cana-2866	454	19	,	,	PUNCT
cana-2866	454	20	i.j	i.j	PROPN
cana-2866	454	21	.	.	PROPN
cana-2866	454	22	image	image	NOUN
cana-2866	454	23	,	,	PUNCT
cana-2866	454	24	graphics	graphic	NOUN
cana-2866	454	25	and	and	CCONJ
cana-2866	454	26	signal	signal	NOUN
cana-2866	454	27	processing	processing	NOUN
cana-2866	454	28	,	,	PUNCT
cana-2866	454	29	2017	2017	NUM
cana-2866	454	30	,	,	PUNCT
cana-2866	454	31	10	10	NUM
cana-2866	454	32	,	,	PUNCT
cana-2866	454	33	60	60	NUM
cana-2866	454	34	-	-	SYM
cana-2866	454	35	68	68	NUM
cana-2866	454	36	[	[	X
cana-2866	454	37	37	37	NUM
cana-2866	454	38	]	]	X
cana-2866	454	39	v.	v.	PROPN
cana-2866	454	40	vijaya	vijaya	PROPN
cana-2866	454	41	kumar	kumar	PROPN
cana-2866	454	42	,	,	PUNCT
cana-2866	454	43	et.al	et.al	PROPN
cana-2866	454	44	.	.	PROPN
cana-2866	454	45	,	,	PUNCT
cana-2866	454	46	“	"	PUNCT
cana-2866	454	47	content	content	NOUN
cana-2866	454	48	based	base	VERB
cana-2866	454	49	image	image	NOUN
cana-2866	454	50	retrieval	retrieval	NOUN
cana-2866	454	51	using	use	VERB
cana-2866	454	52	color	color	NOUN
cana-2866	454	53	and	and	CCONJ
cana-2866	454	54	full	full	ADJ
cana-2866	454	55	texton	texton	PROPN
cana-2866	454	56	index	index	NOUN
cana-2866	454	57	cooccurance	cooccurance	NOUN
cana-2866	454	58	matrix(fticm	matrix(fticm	NOUN
cana-2866	454	59	)	)	PUNCT
cana-2866	454	60	features	feature	NOUN
cana-2866	454	61	”	"	PUNCT
cana-2866	454	62	,	,	PUNCT
cana-2866	454	63	,	,	PUNCT
cana-2866	454	64	i.j	i.j	PROPN
cana-2866	454	65	.	.	PROPN
cana-2866	454	66	research	research	NOUN
cana-2866	454	67	technology	technology	NOUN
cana-2866	454	68	and	and	CCONJ
cana-2866	454	69	engineering	engineering	NOUN
cana-2866	454	70	,	,	PUNCT
cana-2866	454	71	vol	vol	NOUN
cana-2866	454	72	.	.	NOUN
cana-2866	454	73	8	8	NUM
cana-2866	454	74	,	,	PUNCT
cana-2866	454	75	issue	issue	NOUN
cana-2866	454	76	1	1	NUM
cana-2866	454	77	,	,	PUNCT
cana-2866	454	78	1262	1262	NUM
cana-2866	454	79	-	-	SYM
cana-2866	454	80	1275	1275	NUM
cana-2866	454	81	[	[	X
cana-2866	454	82	38	38	NUM
cana-2866	454	83	]	]	PUNCT
cana-2866	454	84	g.	g.	PROPN
cana-2866	454	85	bindu	bindu	PROPN
cana-2866	454	86	madhavi	madhavi	PROPN
cana-2866	454	87	et.al	et.al	PROPN
cana-2866	454	88	.	.	PROPN
cana-2866	454	89	,	,	PUNCT
cana-2866	454	90	“	"	PUNCT
cana-2866	454	91	the	the	DET
cana-2866	454	92	complete	complete	ADJ
cana-2866	454	93	rank	rank	NOUN
cana-2866	454	94	position	position	NOUN
cana-2866	454	95	matrix	matrix	NOUN
cana-2866	454	96	for	for	ADP
cana-2866	454	97	content	content	NOUN
cana-2866	454	98	based	base	VERB
cana-2866	454	99	image	image	NOUN
cana-2866	454	100	retrieval	retrieval	NOUN
cana-2866	454	101	”	"	PUNCT
cana-2866	454	102	,	,	PUNCT
cana-2866	454	103	journal	journal	NOUN
cana-2866	454	104	of	of	ADP
cana-2866	454	105	critical	critical	ADJ
cana-2866	454	106	reviews	review	NOUN
cana-2866	454	107	,	,	PUNCT
cana-2866	454	108	vol	vol	NOUN
cana-2866	454	109	7	7	NUM
cana-2866	454	110	,	,	PUNCT
cana-2866	454	111	issue	issue	NOUN
cana-2866	454	112	18	18	NUM
cana-2866	454	113	,	,	PUNCT
cana-2866	454	114	august	august	PROPN
cana-2866	454	115	2020	2020	NUM
cana-2866	454	116	,	,	PUNCT
cana-2866	454	117	997	997	NUM
cana-2866	454	118	-	-	SYM
cana-2866	454	119	1015	1015	NUM
cana-2866	454	120	.	.	PUNCT
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cana-2866	456	23	)	)	PUNCT
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cana-2866	456	41	,	,	PUNCT
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cana-2866	456	43	-	-	SYM
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cana-2866	456	45	.	.	PUNCT
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cana-2866	457	9	:	:	PUNCT
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cana-2866	458	4	)	)	PUNCT
cana-2866	458	5	499	499	NUM
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cana-2866	459	3	]	]	PUNCT
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cana-2866	459	42	-	-	SYM
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cana-2866	459	47	-	-	SYM
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cana-2866	479	8	,	,	PUNCT
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cana-2866	479	12	/	/	SYM
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cana-2866	479	14	.	.	PUNCT
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