id	sid	tid	token	lemma	pos
cana-3110	1	1	communications	communication	NOUN
cana-3110	1	2	on	on	ADP
cana-3110	1	3	applied	apply	VERB
cana-3110	1	4	nonlinear	nonlinear	ADJ
cana-3110	1	5	analysis	analysis	NOUN
cana-3110	1	6	issn	issn	NOUN
cana-3110	1	7	:	:	PUNCT
cana-3110	1	8	1074	1074	NUM
cana-3110	1	9	-	-	PUNCT
cana-3110	1	10	133x	133x	NUM
cana-3110	1	11	vol	vol	NOUN
cana-3110	1	12	32	32	NUM
cana-3110	1	13	no	no	NOUN
cana-3110	1	14	.	.	PUNCT
cana-3110	2	1	5s	5s	NUM
cana-3110	2	2	(	(	PUNCT
cana-3110	2	3	2025	2025	NUM
cana-3110	2	4	)	)	PUNCT
cana-3110	2	5	401	401	NUM
cana-3110	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3110	2	7	a	a	DET
cana-3110	2	8	robust	robust	ADJ
cana-3110	2	9	pre	pre	ADJ
cana-3110	2	10	-	-	ADJ
cana-3110	2	11	processing	processing	ADJ
cana-3110	2	12	framework	framework	NOUN
cana-3110	2	13	for	for	ADP
cana-3110	2	14	roi	roi	NOUN
cana-3110	2	15	extraction	extraction	NOUN
cana-3110	2	16	in	in	ADP
cana-3110	2	17	knee	knee	NOUN
cana-3110	2	18	osteoarthritis	osteoarthritis	NOUN
cana-3110	2	19	x	x	PROPN
cana-3110	2	20	-	-	NOUN
cana-3110	2	21	ray	ray	NOUN
cana-3110	2	22	analysis	analysis	NOUN
cana-3110	2	23	ravindra	ravindra	PROPN
cana-3110	2	24	d.	d.	PROPN
cana-3110	2	25	kale1	kale1	PROPN
cana-3110	2	26	,	,	PUNCT
cana-3110	2	27	dr	dr	PROPN
cana-3110	2	28	.	.	PROPN
cana-3110	2	29	sarika	sarika	PROPN
cana-3110	2	30	khandelwal	khandelwal	PROPN
cana-3110	2	31	2	2	NUM
cana-3110	2	32	1	1	NUM
cana-3110	2	33	ph.d	ph.d	PROPN
cana-3110	2	34	.	.	PUNCT
cana-3110	3	1	scholar	scholar	NOUN
cana-3110	3	2	,	,	PUNCT
cana-3110	3	3	computer	computer	NOUN
cana-3110	3	4	science	science	NOUN
cana-3110	3	5	&	&	CCONJ
cana-3110	3	6	engineering	engineering	PROPN
cana-3110	3	7	,	,	PUNCT
cana-3110	3	8	g	g	PROPN
cana-3110	3	9	h	h	PROPN
cana-3110	3	10	raisoni	raisoni	PROPN
cana-3110	3	11	university	university	PROPN
cana-3110	3	12	,	,	PUNCT
cana-3110	3	13	amravati	amravati	PROPN
cana-3110	3	14	,	,	PUNCT
cana-3110	3	15	india	india	PROPN
cana-3110	3	16	2	2	NUM
cana-3110	3	17	associate	associate	NOUN
cana-3110	3	18	professor	professor	NOUN
cana-3110	3	19	,	,	PUNCT
cana-3110	3	20	department	department	NOUN
cana-3110	3	21	of	of	ADP
cana-3110	3	22	computer	computer	NOUN
cana-3110	3	23	science	science	PROPN
cana-3110	3	24	&	&	CCONJ
cana-3110	3	25	engineering	engineering	PROPN
cana-3110	3	26	,	,	PUNCT
cana-3110	3	27	g	g	PROPN
cana-3110	3	28	h	h	PROPN
cana-3110	3	29	raisoni	raisoni	PROPN
cana-3110	3	30	college	college	PROPN
cana-3110	3	31	of	of	ADP
cana-3110	3	32	engineering	engineering	PROPN
cana-3110	3	33	,	,	PUNCT
cana-3110	3	34	nagpur	nagpur	PROPN
cana-3110	3	35	,	,	PUNCT
cana-3110	3	36	india	india	PROPN
cana-3110	3	37	ravindra.swati2012@gmail.com,sarikakhandelwal@gmail.com	ravindra.swati2012@gmail.com,sarikakhandelwal@gmail.com	PROPN
cana-3110	3	38	article	article	NOUN
cana-3110	3	39	history	history	NOUN
cana-3110	3	40	:	:	PUNCT
cana-3110	3	41	received	receive	VERB
cana-3110	3	42	:	:	PUNCT
cana-3110	3	43	10	10	NUM
cana-3110	3	44	-	-	SYM
cana-3110	3	45	10	10	NUM
cana-3110	3	46	-	-	PUNCT
cana-3110	3	47	2024	2024	NUM
cana-3110	3	48	revised	revise	VERB
cana-3110	3	49	:	:	PUNCT
cana-3110	3	50	27	27	NUM
cana-3110	3	51	-	-	SYM
cana-3110	3	52	11	11	NUM
cana-3110	3	53	-	-	PUNCT
cana-3110	3	54	2024	2024	NUM
cana-3110	3	55	accepted	accept	VERB
cana-3110	3	56	:	:	PUNCT
cana-3110	3	57	08	08	NUM
cana-3110	3	58	-	-	SYM
cana-3110	3	59	12	12	NUM
cana-3110	3	60	-	-	PUNCT
cana-3110	3	61	2024	2024	NUM
cana-3110	3	62	abstract	abstract	NOUN
cana-3110	3	63	:	:	PUNCT
cana-3110	3	64	medical	medical	ADJ
cana-3110	3	65	image	image	NOUN
cana-3110	3	66	processing	processing	NOUN
cana-3110	3	67	depends	depend	VERB
cana-3110	3	68	much	much	ADV
cana-3110	3	69	on	on	ADP
cana-3110	3	70	pre	pre	ADJ
cana-3110	3	71	-	-	ADJ
cana-3110	3	72	processing	processing	ADJ
cana-3110	3	73	,	,	PUNCT
cana-3110	3	74	particularly	particularly	ADV
cana-3110	3	75	in	in	ADP
cana-3110	3	76	cases	case	NOUN
cana-3110	3	77	of	of	ADP
cana-3110	3	78	precise	precise	ADJ
cana-3110	3	79	categorisation	categorisation	NOUN
cana-3110	3	80	and	and	CCONJ
cana-3110	3	81	prediction	prediction	NOUN
cana-3110	3	82	—	—	PUNCT
cana-3110	3	83	like	like	ADP
cana-3110	3	84	those	those	PRON
cana-3110	3	85	involving	involve	VERB
cana-3110	3	86	the	the	DET
cana-3110	3	87	diagnosis	diagnosis	NOUN
cana-3110	3	88	of	of	ADP
cana-3110	3	89	osteoarthritis	osteoarthritis	NOUN
cana-3110	3	90	(	(	PUNCT
cana-3110	3	91	oa	oa	INTJ
cana-3110	3	92	)	)	PUNCT
cana-3110	3	93	in	in	ADP
cana-3110	3	94	the	the	DET
cana-3110	3	95	knee	knee	NOUN
cana-3110	3	96	.	.	PUNCT
cana-3110	4	1	this	this	DET
cana-3110	4	2	work	work	NOUN
cana-3110	4	3	presents	present	VERB
cana-3110	4	4	a	a	DET
cana-3110	4	5	rapid	rapid	ADJ
cana-3110	4	6	and	and	CCONJ
cana-3110	4	7	simple	simple	ADJ
cana-3110	4	8	approach	approach	NOUN
cana-3110	4	9	to	to	PART
cana-3110	4	10	get	get	VERB
cana-3110	4	11	the	the	DET
cana-3110	4	12	area	area	NOUN
cana-3110	4	13	of	of	ADP
cana-3110	4	14	interest	interest	NOUN
cana-3110	4	15	(	(	PUNCT
cana-3110	4	16	roi	roi	NOUN
cana-3110	4	17	)	)	PUNCT
cana-3110	4	18	from	from	ADP
cana-3110	4	19	knee	knee	NOUN
cana-3110	4	20	x	x	NOUN
cana-3110	4	21	-	-	NOUN
cana-3110	4	22	ray	ray	NOUN
cana-3110	4	23	images	image	NOUN
cana-3110	4	24	such	such	ADJ
cana-3110	4	25	that	that	SCONJ
cana-3110	4	26	the	the	DET
cana-3110	4	27	kellgren	kellgren	NOUN
cana-3110	4	28	and	and	CCONJ
cana-3110	4	29	lawrence	lawrence	PROPN
cana-3110	4	30	(	(	PUNCT
cana-3110	4	31	kl	kl	NOUN
cana-3110	4	32	)	)	PUNCT
cana-3110	4	33	technique	technique	NOUN
cana-3110	4	34	may	may	AUX
cana-3110	4	35	be	be	AUX
cana-3110	4	36	used	use	VERB
cana-3110	4	37	for	for	ADP
cana-3110	4	38	accurate	accurate	ADJ
cana-3110	4	39	grading	grading	NOUN
cana-3110	4	40	.	.	PUNCT
cana-3110	5	1	by	by	ADP
cana-3110	5	2	means	mean	NOUN
cana-3110	5	3	of	of	ADP
cana-3110	5	4	a	a	DET
cana-3110	5	5	planned	plan	VERB
cana-3110	5	6	approach	approach	NOUN
cana-3110	5	7	including	include	VERB
cana-3110	5	8	gaussian	gaussian	ADJ
cana-3110	5	9	blurring	blurring	NOUN
cana-3110	5	10	,	,	PUNCT
cana-3110	5	11	thresholding	thresholding	NOUN
cana-3110	5	12	,	,	PUNCT
cana-3110	5	13	and	and	CCONJ
cana-3110	5	14	sophisticated	sophisticated	ADJ
cana-3110	5	15	statistical	statistical	ADJ
cana-3110	5	16	and	and	CCONJ
cana-3110	5	17	wavelet	wavelet	NOUN
cana-3110	5	18	-	-	PUNCT
cana-3110	5	19	based	base	VERB
cana-3110	5	20	algorithms	algorithm	NOUN
cana-3110	5	21	for	for	ADP
cana-3110	5	22	finetuning	finetune	VERB
cana-3110	5	23	characteristics	characteristic	NOUN
cana-3110	5	24	,	,	PUNCT
cana-3110	5	25	the	the	DET
cana-3110	5	26	system	system	NOUN
cana-3110	5	27	addresses	address	VERB
cana-3110	5	28	issues	issue	NOUN
cana-3110	5	29	like	like	ADP
cana-3110	5	30	noise	noise	NOUN
cana-3110	5	31	,	,	PUNCT
cana-3110	5	32	poor	poor	ADJ
cana-3110	5	33	contrast	contrast	NOUN
cana-3110	5	34	,	,	PUNCT
cana-3110	5	35	and	and	CCONJ
cana-3110	5	36	uneven	uneven	ADJ
cana-3110	5	37	illumination	illumination	NOUN
cana-3110	5	38	.	.	PUNCT
cana-3110	6	1	the	the	DET
cana-3110	6	2	recommended	recommend	VERB
cana-3110	6	3	approach	approach	NOUN
cana-3110	6	4	divides	divide	VERB
cana-3110	6	5	the	the	DET
cana-3110	6	6	knee	knee	NOUN
cana-3110	6	7	joint	joint	NOUN
cana-3110	6	8	,	,	PUNCT
cana-3110	6	9	eliminates	eliminate	VERB
cana-3110	6	10	regions	region	NOUN
cana-3110	6	11	not	not	PART
cana-3110	6	12	required	require	VERB
cana-3110	6	13	,	,	PUNCT
cana-3110	6	14	and	and	CCONJ
cana-3110	6	15	enhances	enhance	VERB
cana-3110	6	16	the	the	DET
cana-3110	6	17	view	view	NOUN
cana-3110	6	18	of	of	ADP
cana-3110	6	19	crucial	crucial	ADJ
cana-3110	6	20	diagnostic	diagnostic	ADJ
cana-3110	6	21	elements	element	NOUN
cana-3110	6	22	like	like	ADP
cana-3110	6	23	the	the	DET
cana-3110	6	24	gap	gap	NOUN
cana-3110	6	25	between	between	ADP
cana-3110	6	26	the	the	DET
cana-3110	6	27	upper	upper	ADJ
cana-3110	6	28	and	and	CCONJ
cana-3110	6	29	lower	low	ADJ
cana-3110	6	30	knee	knee	NOUN
cana-3110	6	31	bones	bone	NOUN
cana-3110	6	32	.	.	PUNCT
cana-3110	7	1	it	it	PRON
cana-3110	7	2	makes	make	VERB
cana-3110	7	3	separating	separate	VERB
cana-3110	7	4	rois	rois	NOUN
cana-3110	7	5	for	for	ADP
cana-3110	7	6	all	all	DET
cana-3110	7	7	five	five	NUM
cana-3110	7	8	kl	kl	NOUN
cana-3110	7	9	grades	grade	NOUN
cana-3110	7	10	—	—	PUNCT
cana-3110	7	11	from	from	ADP
cana-3110	7	12	healthy	healthy	ADJ
cana-3110	7	13	knees	knee	NOUN
cana-3110	7	14	to	to	PART
cana-3110	7	15	severe	severe	ADJ
cana-3110	7	16	oa	oa	NOUN
cana-3110	7	17	cases	case	NOUN
cana-3110	7	18	—	—	PUNCT
cana-3110	7	19	simple	simple	ADJ
cana-3110	7	20	.	.	PUNCT
cana-3110	8	1	with	with	ADP
cana-3110	8	2	more	more	ADJ
cana-3110	8	3	than	than	ADP
cana-3110	8	4	8,000	8,000	NUM
cana-3110	8	5	x	x	NOUN
cana-3110	8	6	-	-	NOUN
cana-3110	8	7	ray	ray	NOUN
cana-3110	8	8	images	image	NOUN
cana-3110	8	9	in	in	ADP
cana-3110	8	10	the	the	DET
cana-3110	8	11	kaggle	kaggle	ADJ
cana-3110	8	12	knee	knee	NOUN
cana-3110	8	13	oa	oa	PROPN
cana-3110	8	14	dataset	dataset	PROPN
cana-3110	8	15	,	,	PUNCT
cana-3110	8	16	the	the	DET
cana-3110	8	17	research	research	NOUN
cana-3110	8	18	ensures	ensure	VERB
cana-3110	8	19	system	system	NOUN
cana-3110	8	20	dependability	dependability	NOUN
cana-3110	8	21	and	and	CCONJ
cana-3110	8	22	applicability	applicability	NOUN
cana-3110	8	23	in	in	ADP
cana-3110	8	24	various	various	ADJ
cana-3110	8	25	contexts	contexts	NOUN
cana-3110	8	26	.	.	PUNCT
cana-3110	9	1	the	the	DET
cana-3110	9	2	method	method	NOUN
cana-3110	9	3	significantly	significantly	ADV
cana-3110	9	4	increases	increase	VERB
cana-3110	9	5	the	the	DET
cana-3110	9	6	precision	precision	NOUN
cana-3110	9	7	of	of	ADP
cana-3110	9	8	roi	roi	NOUN
cana-3110	9	9	segmentation	segmentation	NOUN
cana-3110	9	10	,	,	PUNCT
cana-3110	9	11	thereby	thereby	ADV
cana-3110	9	12	enhancing	enhance	VERB
cana-3110	9	13	the	the	DET
cana-3110	9	14	feature	feature	NOUN
cana-3110	9	15	extraction	extraction	NOUN
cana-3110	9	16	for	for	ADP
cana-3110	9	17	next	next	ADJ
cana-3110	9	18	classification	classification	NOUN
cana-3110	9	19	projects	project	NOUN
cana-3110	9	20	.	.	PUNCT
cana-3110	10	1	while	while	SCONJ
cana-3110	10	2	eliminating	eliminate	VERB
cana-3110	10	3	uncertainty	uncertainty	NOUN
cana-3110	10	4	,	,	PUNCT
cana-3110	10	5	the	the	DET
cana-3110	10	6	separated	separated	ADJ
cana-3110	10	7	rois	rois	NOUN
cana-3110	10	8	maintain	maintain	VERB
cana-3110	10	9	crucial	crucial	ADJ
cana-3110	10	10	characteristics	characteristic	NOUN
cana-3110	10	11	and	and	CCONJ
cana-3110	10	12	help	help	VERB
cana-3110	10	13	to	to	PART
cana-3110	10	14	distinctly	distinctly	ADV
cana-3110	10	15	differentiate	differentiate	VERB
cana-3110	10	16	kl	kl	NOUN
cana-3110	10	17	grades	grade	NOUN
cana-3110	10	18	.	.	PUNCT
cana-3110	11	1	though	though	SCONJ
cana-3110	11	2	it	it	PRON
cana-3110	11	3	might	might	AUX
cana-3110	11	4	function	function	VERB
cana-3110	11	5	even	even	ADV
cana-3110	11	6	better	well	ADV
cana-3110	11	7	with	with	ADP
cana-3110	11	8	future	future	ADJ
cana-3110	11	9	developments	development	NOUN
cana-3110	11	10	like	like	ADP
cana-3110	11	11	adding	add	VERB
cana-3110	11	12	more	more	ADV
cana-3110	11	13	sophisticated	sophisticated	ADJ
cana-3110	11	14	brightness	brightness	NOUN
cana-3110	11	15	control	control	NOUN
cana-3110	11	16	and	and	CCONJ
cana-3110	11	17	noise	noise	NOUN
cana-3110	11	18	reduction	reduction	NOUN
cana-3110	11	19	techniques	technique	NOUN
cana-3110	11	20	,	,	PUNCT
cana-3110	11	21	the	the	DET
cana-3110	11	22	framework	framework	NOUN
cana-3110	11	23	performs	perform	VERB
cana-3110	11	24	effectively	effectively	ADV
cana-3110	11	25	in	in	ADP
cana-3110	11	26	many	many	ADJ
cana-3110	11	27	different	different	ADJ
cana-3110	11	28	image	image	NOUN
cana-3110	11	29	settings	setting	NOUN
cana-3110	11	30	.	.	PUNCT
cana-3110	12	1	the	the	DET
cana-3110	12	2	foundation	foundation	NOUN
cana-3110	12	3	for	for	ADP
cana-3110	12	4	automated	automate	VERB
cana-3110	12	5	oa	oa	PROPN
cana-3110	12	6	detection	detection	NOUN
cana-3110	12	7	is	be	AUX
cana-3110	12	8	laid	lay	VERB
cana-3110	12	9	by	by	ADP
cana-3110	12	10	this	this	DET
cana-3110	12	11	study	study	NOUN
cana-3110	12	12	.	.	PUNCT
cana-3110	13	1	it	it	PRON
cana-3110	13	2	closes	close	VERB
cana-3110	13	3	the	the	DET
cana-3110	13	4	distance	distance	NOUN
cana-3110	13	5	between	between	ADP
cana-3110	13	6	the	the	DET
cana-3110	13	7	limitations	limitation	NOUN
cana-3110	13	8	of	of	ADP
cana-3110	13	9	imaging	imaging	NOUN
cana-3110	13	10	and	and	CCONJ
cana-3110	13	11	clinical	clinical	ADJ
cana-3110	13	12	requirements	requirement	NOUN
cana-3110	13	13	.	.	PUNCT
cana-3110	14	1	it	it	PRON
cana-3110	14	2	also	also	ADV
cana-3110	14	3	guides	guide	VERB
cana-3110	14	4	the	the	DET
cana-3110	14	5	direction	direction	NOUN
cana-3110	14	6	of	of	ADP
cana-3110	14	7	medical	medical	ADJ
cana-3110	14	8	image	image	NOUN
cana-3110	14	9	processing	process	VERB
cana-3110	14	10	forward	forward	ADV
cana-3110	14	11	.	.	PUNCT
cana-3110	15	1	keywords	keyword	NOUN
cana-3110	15	2	:	:	PUNCT
cana-3110	15	3	pre	pre	ADJ
cana-3110	15	4	-	-	ADJ
cana-3110	15	5	processing	processing	ADJ
cana-3110	15	6	,	,	PUNCT
cana-3110	15	7	image	image	NOUN
cana-3110	15	8	processing	processing	NOUN
cana-3110	15	9	,	,	PUNCT
cana-3110	15	10	knee	knee	NOUN
cana-3110	15	11	osteoarthritis	osteoarthritis	NOUN
cana-3110	15	12	,	,	PUNCT
cana-3110	15	13	region	region	NOUN
cana-3110	15	14	of	of	ADP
cana-3110	15	15	interest	interest	NOUN
cana-3110	15	16	,	,	PUNCT
cana-3110	15	17	kellgren	kellgren	PROPN
cana-3110	15	18	and	and	CCONJ
cana-3110	15	19	lawrence	lawrence	PROPN
cana-3110	15	20	grade	grade	NOUN
cana-3110	15	21	,	,	PUNCT
cana-3110	15	22	knee	knee	NOUN
cana-3110	15	23	x	x	NOUN
cana-3110	15	24	-	-	NOUN
cana-3110	15	25	ray	ray	NOUN
cana-3110	15	26	images	image	NOUN
cana-3110	15	27	,	,	PUNCT
cana-3110	15	28	noise	noise	NOUN
cana-3110	15	29	reduction	reduction	NOUN
cana-3110	15	30	,	,	PUNCT
cana-3110	15	31	contrast	contrast	NOUN
cana-3110	15	32	enhancement	enhancement	NOUN
cana-3110	15	33	,	,	PUNCT
cana-3110	15	34	segmentation	segmentation	NOUN
cana-3110	15	35	,	,	PUNCT
cana-3110	15	36	feature	feature	NOUN
cana-3110	15	37	extraction	extraction	NOUN
cana-3110	15	38	,	,	PUNCT
cana-3110	15	39	medical	medical	ADJ
cana-3110	15	40	image	image	NOUN
cana-3110	15	41	analysis	analysis	NOUN
cana-3110	15	42	,	,	PUNCT
cana-3110	15	43	gaussian	gaussian	ADJ
cana-3110	15	44	blurring	blurring	NOUN
cana-3110	15	45	,	,	PUNCT
cana-3110	15	46	wavelet	wavelet	NOUN
cana-3110	15	47	analysis	analysis	NOUN
cana-3110	15	48	,	,	PUNCT
cana-3110	15	49	classification	classification	NOUN
cana-3110	15	50	accuracy	accuracy	NOUN
cana-3110	15	51	.	.	PUNCT
cana-3110	16	1	1	1	X
cana-3110	16	2	.	.	X
cana-3110	16	3	introduction	introduction	NOUN
cana-3110	16	4	affecting	affect	VERB
cana-3110	16	5	around	around	ADP
cana-3110	16	6	one	one	NUM
cana-3110	16	7	in	in	ADP
cana-3110	16	8	five	five	NUM
cana-3110	16	9	persons	person	NOUN
cana-3110	16	10	worldwide	worldwide	ADV
cana-3110	16	11	,	,	PUNCT
cana-3110	16	12	osteoarthritis	osteoarthritis	NOUN
cana-3110	16	13	(	(	PUNCT
cana-3110	16	14	oa	oa	NOUN
cana-3110	16	15	)	)	PUNCT
cana-3110	16	16	of	of	ADP
cana-3110	16	17	the	the	DET
cana-3110	16	18	knee	knee	NOUN
cana-3110	16	19	is	be	AUX
cana-3110	16	20	one	one	NUM
cana-3110	16	21	of	of	ADP
cana-3110	16	22	the	the	DET
cana-3110	16	23	most	most	ADV
cana-3110	16	24	often	often	ADV
cana-3110	16	25	occurring	occur	VERB
cana-3110	16	26	degenerative	degenerative	ADJ
cana-3110	16	27	joint	joint	ADJ
cana-3110	16	28	illnesses	illness	NOUN
cana-3110	16	29	.	.	PUNCT
cana-3110	17	1	it	it	PRON
cana-3110	17	2	is	be	AUX
cana-3110	17	3	characterised	characterise	VERB
cana-3110	17	4	by	by	ADP
cana-3110	17	5	progressive	progressive	ADJ
cana-3110	17	6	disintegration	disintegration	NOUN
cana-3110	17	7	of	of	ADP
cana-3110	17	8	articular	articular	ADJ
cana-3110	17	9	cartilage	cartilage	NOUN
cana-3110	17	10	,	,	PUNCT
cana-3110	17	11	which	which	PRON
cana-3110	17	12	brings	bring	VERB
cana-3110	17	13	joints	joint	NOUN
cana-3110	17	14	closer	close	ADV
cana-3110	17	15	together	together	ADV
cana-3110	17	16	,	,	PUNCT
cana-3110	17	17	inflammation	inflammation	NOUN
cana-3110	17	18	,	,	PUNCT
cana-3110	17	19	osteophyte	osteophyte	PROPN
cana-3110	17	20	development	development	NOUN
cana-3110	17	21	,	,	PUNCT
cana-3110	17	22	and	and	CCONJ
cana-3110	17	23	,	,	PUNCT
cana-3110	17	24	in	in	ADP
cana-3110	17	25	severe	severe	ADJ
cana-3110	17	26	instances	instance	NOUN
cana-3110	17	27	,	,	PUNCT
cana-3110	17	28	intolerable	intolerable	ADJ
cana-3110	17	29	pain	pain	NOUN
cana-3110	17	30	typically	typically	ADV
cana-3110	17	31	requiring	require	VERB
cana-3110	17	32	a	a	DET
cana-3110	17	33	complete	complete	ADJ
cana-3110	17	34	joint	joint	ADJ
cana-3110	17	35	replacement	replacement	NOUN
cana-3110	17	36	.	.	PUNCT
cana-3110	18	1	you	you	PRON
cana-3110	18	2	run	run	VERB
cana-3110	18	3	a	a	DET
cana-3110	18	4	risk	risk	NOUN
cana-3110	18	5	for	for	ADP
cana-3110	18	6	knee	knee	NOUN
cana-3110	18	7	oa	oa	NOUN
cana-3110	18	8	from	from	ADP
cana-3110	18	9	age	age	NOUN
cana-3110	18	10	,	,	PUNCT
cana-3110	18	11	weight	weight	NOUN
cana-3110	18	12	,	,	PUNCT
cana-3110	18	13	and	and	CCONJ
cana-3110	18	14	a	a	DET
cana-3110	18	15	lazy	lazy	ADJ
cana-3110	18	16	lifestyle	lifestyle	NOUN
cana-3110	18	17	as	as	ADV
cana-3110	18	18	well	well	ADV
cana-3110	18	19	as	as	ADP
cana-3110	18	20	from	from	ADP
cana-3110	18	21	other	other	ADJ
cana-3110	18	22	factors	factor	NOUN
cana-3110	18	23	.	.	PUNCT
cana-3110	19	1	adults	adult	NOUN
cana-3110	19	2	more	more	ADJ
cana-3110	19	3	than	than	ADP
cana-3110	19	4	children	child	NOUN
cana-3110	19	5	are	be	AUX
cana-3110	19	6	affected	affect	VERB
cana-3110	19	7	by	by	ADP
cana-3110	19	8	the	the	DET
cana-3110	19	9	illness	illness	NOUN
cana-3110	19	10	.	.	PUNCT
cana-3110	20	1	receiving	receive	VERB
cana-3110	20	2	a	a	DET
cana-3110	20	3	proper	proper	ADJ
cana-3110	20	4	diagnosis	diagnosis	NOUN
cana-3110	20	5	early	early	ADV
cana-3110	20	6	on	on	ADV
cana-3110	20	7	is	be	AUX
cana-3110	20	8	very	very	ADV
cana-3110	20	9	crucial	crucial	ADJ
cana-3110	20	10	so	so	SCONJ
cana-3110	20	11	that	that	SCONJ
cana-3110	20	12	communications	communication	NOUN
cana-3110	20	13	on	on	ADP
cana-3110	20	14	applied	apply	VERB
cana-3110	20	15	nonlinear	nonlinear	ADJ
cana-3110	20	16	analysis	analysis	NOUN
cana-3110	20	17	issn	issn	NOUN
cana-3110	20	18	:	:	PUNCT
cana-3110	20	19	1074	1074	NUM
cana-3110	20	20	-	-	PUNCT
cana-3110	20	21	133x	133x	NUM
cana-3110	20	22	vol	vol	NOUN
cana-3110	20	23	32	32	NUM
cana-3110	20	24	no	no	NOUN
cana-3110	20	25	.	.	PUNCT
cana-3110	21	1	5s	5s	NUM
cana-3110	21	2	(	(	PUNCT
cana-3110	21	3	2025	2025	NUM
cana-3110	21	4	)	)	PUNCT
cana-3110	21	5	402	402	NUM
cana-3110	21	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3110	21	7	patients	patient	NOUN
cana-3110	21	8	may	may	AUX
cana-3110	21	9	get	get	VERB
cana-3110	21	10	the	the	DET
cana-3110	21	11	required	required	ADJ
cana-3110	21	12	treatment	treatment	NOUN
cana-3110	21	13	and	and	CCONJ
cana-3110	21	14	improve	improve	VERB
cana-3110	21	15	their	their	PRON
cana-3110	21	16	quality	quality	NOUN
cana-3110	21	17	of	of	ADP
cana-3110	21	18	life	life	NOUN
cana-3110	21	19	.	.	PUNCT
cana-3110	22	1	identification	identification	NOUN
cana-3110	22	2	of	of	ADP
cana-3110	22	3	knee	knee	NOUN
cana-3110	22	4	oa	oa	PROPN
cana-3110	22	5	depends	depend	VERB
cana-3110	22	6	much	much	ADV
cana-3110	22	7	on	on	ADP
cana-3110	22	8	imaging	image	VERB
cana-3110	22	9	studies	study	NOUN
cana-3110	22	10	.	.	PUNCT
cana-3110	23	1	the	the	DET
cana-3110	23	2	best	good	ADJ
cana-3110	23	3	methods	method	NOUN
cana-3110	23	4	to	to	PART
cana-3110	23	5	look	look	VERB
cana-3110	23	6	for	for	ADP
cana-3110	23	7	joint	joint	ADJ
cana-3110	23	8	degeneration	degeneration	NOUN
cana-3110	23	9	include	include	VERB
cana-3110	23	10	standard	standard	ADJ
cana-3110	23	11	imaging	imaging	NOUN
cana-3110	23	12	modalities	modality	NOUN
cana-3110	23	13	including	include	VERB
cana-3110	23	14	x	x	NOUN
cana-3110	23	15	-	-	NOUN
cana-3110	23	16	rays	ray	NOUN
cana-3110	23	17	,	,	PUNCT
cana-3110	23	18	ultrasonic	ultrasonic	ADJ
cana-3110	23	19	waves	wave	NOUN
cana-3110	23	20	,	,	PUNCT
cana-3110	23	21	optical	optical	ADJ
cana-3110	23	22	coherence	coherence	NOUN
cana-3110	23	23	tomography	tomography	NOUN
cana-3110	23	24	,	,	PUNCT
cana-3110	23	25	magnetic	magnetic	ADJ
cana-3110	23	26	resonance	resonance	NOUN
cana-3110	23	27	imaging	imaging	NOUN
cana-3110	23	28	(	(	PUNCT
cana-3110	23	29	mri	mri	NOUN
cana-3110	23	30	)	)	PUNCT
cana-3110	23	31	,	,	PUNCT
cana-3110	23	32	and	and	CCONJ
cana-3110	23	33	x	x	X
cana-3110	23	34	-	-	NOUN
cana-3110	23	35	ray	ray	NOUN
cana-3110	23	36	alignment	alignment	NOUN
cana-3110	23	37	[	[	X
cana-3110	23	38	1][2	1][2	NUM
cana-3110	23	39	]	]	PUNCT
cana-3110	23	40	.	.	PUNCT
cana-3110	24	1	the	the	DET
cana-3110	24	2	knee	knee	NOUN
cana-3110	24	3	is	be	AUX
cana-3110	24	4	so	so	ADV
cana-3110	24	5	complex	complex	ADJ
cana-3110	24	6	,	,	PUNCT
cana-3110	24	7	hence	hence	ADV
cana-3110	24	8	even	even	ADV
cana-3110	24	9	if	if	SCONJ
cana-3110	24	10	medical	medical	ADJ
cana-3110	24	11	imaging	imaging	NOUN
cana-3110	24	12	technology	technology	NOUN
cana-3110	24	13	have	have	AUX
cana-3110	24	14	advanced	advance	VERB
cana-3110	24	15	,	,	PUNCT
cana-3110	24	16	diagnosis	diagnosis	NOUN
cana-3110	24	17	of	of	ADP
cana-3110	24	18	knee	knee	NOUN
cana-3110	24	19	oa	oa	PROPN
cana-3110	24	20	is	be	AUX
cana-3110	24	21	still	still	ADV
cana-3110	24	22	difficult	difficult	ADJ
cana-3110	24	23	as	as	SCONJ
cana-3110	24	24	imaging	imaging	NOUN
cana-3110	24	25	methods	method	NOUN
cana-3110	24	26	have	have	VERB
cana-3110	24	27	many	many	ADJ
cana-3110	24	28	shortcomings	shortcoming	NOUN
cana-3110	24	29	.	.	PUNCT
cana-3110	25	1	among	among	ADP
cana-3110	25	2	these	these	DET
cana-3110	25	3	concerns	concern	NOUN
cana-3110	25	4	include	include	VERB
cana-3110	25	5	poor	poor	ADJ
cana-3110	25	6	contrast	contrast	NOUN
cana-3110	25	7	between	between	ADP
cana-3110	25	8	soft	soft	ADJ
cana-3110	25	9	and	and	CCONJ
cana-3110	25	10	hard	hard	ADJ
cana-3110	25	11	tissues	tissue	NOUN
cana-3110	25	12	,	,	PUNCT
cana-3110	25	13	noise	noise	NOUN
cana-3110	25	14	,	,	PUNCT
cana-3110	25	15	and	and	CCONJ
cana-3110	25	16	image	image	NOUN
cana-3110	25	17	quality	quality	NOUN
cana-3110	25	18	changes	change	NOUN
cana-3110	25	19	resulting	result	VERB
cana-3110	25	20	from	from	ADP
cana-3110	25	21	different	different	ADJ
cana-3110	25	22	clinical	clinical	ADJ
cana-3110	25	23	recording	recording	NOUN
cana-3110	25	24	techniques	technique	NOUN
cana-3110	25	25	.	.	PUNCT
cana-3110	26	1	accurate	accurate	ADJ
cana-3110	26	2	diagnosis	diagnosis	NOUN
cana-3110	26	3	and	and	CCONJ
cana-3110	26	4	evaluation	evaluation	NOUN
cana-3110	26	5	of	of	ADP
cana-3110	26	6	knee	knee	NOUN
cana-3110	26	7	oa	oa	NOUN
cana-3110	26	8	are	be	AUX
cana-3110	26	9	usually	usually	ADV
cana-3110	26	10	accomplished	accomplish	VERB
cana-3110	26	11	using	use	VERB
cana-3110	26	12	the	the	DET
cana-3110	26	13	kellgren	kellgren	NOUN
cana-3110	26	14	and	and	CCONJ
cana-3110	26	15	lawrence	lawrence	PROPN
cana-3110	26	16	(	(	PUNCT
cana-3110	26	17	kl	kl	NOUN
cana-3110	26	18	)	)	PUNCT
cana-3110	26	19	rating	rating	NOUN
cana-3110	26	20	method	method	NOUN
cana-3110	26	21	.	.	PUNCT
cana-3110	27	1	it	it	PRON
cana-3110	27	2	scales	scale	VERB
cana-3110	27	3	the	the	DET
cana-3110	27	4	severity	severity	NOUN
cana-3110	27	5	into	into	ADP
cana-3110	27	6	five	five	NUM
cana-3110	27	7	levels	level	NOUN
cana-3110	27	8	:	:	PUNCT
cana-3110	27	9	0	0	NUM
cana-3110	27	10	is	be	AUX
cana-3110	27	11	"	"	PUNCT
cana-3110	27	12	healthy	healthy	ADJ
cana-3110	27	13	,	,	PUNCT
cana-3110	27	14	"	"	PUNCT
cana-3110	27	15	4	4	NUM
cana-3110	27	16	is	be	AUX
cana-3110	27	17	"	"	PUNCT
cana-3110	27	18	severe	severe	ADJ
cana-3110	27	19	osteoarthritis	osteoarthritis	NOUN
cana-3110	27	20	.	.	PUNCT
cana-3110	27	21	"	"	PUNCT
cana-3110	28	1	clearly	clearly	ADV
cana-3110	28	2	separating	separate	VERB
cana-3110	28	3	the	the	DET
cana-3110	28	4	area	area	NOUN
cana-3110	28	5	of	of	ADP
cana-3110	28	6	interest	interest	NOUN
cana-3110	28	7	(	(	PUNCT
cana-3110	28	8	roi	roi	NOUN
cana-3110	28	9	)	)	PUNCT
cana-3110	28	10	,	,	PUNCT
cana-3110	28	11	in	in	ADP
cana-3110	28	12	this	this	DET
cana-3110	28	13	example	example	NOUN
cana-3110	28	14	the	the	DET
cana-3110	28	15	knee	knee	NOUN
cana-3110	28	16	joint	joint	ADJ
cana-3110	28	17	area	area	NOUN
cana-3110	28	18	,	,	PUNCT
cana-3110	28	19	can	can	AUX
cana-3110	28	20	help	help	VERB
cana-3110	28	21	one	one	NOUN
cana-3110	28	22	to	to	PART
cana-3110	28	23	determine	determine	VERB
cana-3110	28	24	the	the	DET
cana-3110	28	25	distance	distance	NOUN
cana-3110	28	26	between	between	ADP
cana-3110	28	27	the	the	DET
cana-3110	28	28	upper	upper	ADJ
cana-3110	28	29	and	and	CCONJ
cana-3110	28	30	lower	low	ADJ
cana-3110	28	31	knee	knee	NOUN
cana-3110	28	32	bones	bone	NOUN
cana-3110	28	33	.	.	PUNCT
cana-3110	29	1	correcting	correct	VERB
cana-3110	29	2	the	the	DET
cana-3110	29	3	roi	roi	NOUN
cana-3110	29	4	extraction	extraction	NOUN
cana-3110	29	5	will	will	AUX
cana-3110	29	6	help	help	VERB
cana-3110	29	7	one	one	NUM
cana-3110	29	8	distinguish	distinguish	VERB
cana-3110	29	9	the	the	DET
cana-3110	29	10	kl	kl	NOUN
cana-3110	29	11	grades	grade	NOUN
cana-3110	29	12	as	as	SCONJ
cana-3110	29	13	even	even	ADV
cana-3110	29	14	little	little	ADJ
cana-3110	29	15	errors	error	NOUN
cana-3110	29	16	could	could	AUX
cana-3110	29	17	result	result	VERB
cana-3110	29	18	in	in	ADP
cana-3110	29	19	erroneous	erroneous	ADJ
cana-3110	29	20	diagnosis	diagnosis	NOUN
cana-3110	29	21	.	.	PUNCT
cana-3110	30	1	for	for	ADP
cana-3110	30	2	example	example	NOUN
cana-3110	30	3	,	,	PUNCT
cana-3110	30	4	computer	computer	NOUN
cana-3110	30	5	classification	classification	NOUN
cana-3110	30	6	algorithms	algorithm	NOUN
cana-3110	30	7	struggle	struggle	VERB
cana-3110	30	8	when	when	SCONJ
cana-3110	30	9	x	x	X
cana-3110	30	10	-	-	NOUN
cana-3110	30	11	ray	ray	NOUN
cana-3110	30	12	features	feature	NOUN
cana-3110	30	13	from	from	ADP
cana-3110	30	14	grades	grade	NOUN
cana-3110	30	15	0	0	NUM
cana-3110	30	16	and	and	CCONJ
cana-3110	30	17	1	1	NUM
cana-3110	30	18	or	or	CCONJ
cana-3110	30	19	grades	grade	NOUN
cana-3110	30	20	1	1	NUM
cana-3110	30	21	and	and	CCONJ
cana-3110	30	22	2	2	NUM
cana-3110	30	23	seem	seem	VERB
cana-3110	30	24	to	to	PART
cana-3110	30	25	be	be	AUX
cana-3110	30	26	somewhat	somewhat	ADV
cana-3110	30	27	similar	similar	ADJ
cana-3110	30	28	.	.	PUNCT
cana-3110	31	1	the	the	DET
cana-3110	31	2	human	human	ADJ
cana-3110	31	3	knee	knee	NOUN
cana-3110	31	4	anatomy	anatomy	NOUN
cana-3110	31	5	is	be	AUX
cana-3110	31	6	complex	complex	ADJ
cana-3110	31	7	and	and	CCONJ
cana-3110	31	8	many	many	ADJ
cana-3110	31	9	x	x	ADJ
cana-3110	31	10	-	-	NOUN
cana-3110	31	11	ray	ray	NOUN
cana-3110	31	12	images	image	NOUN
cana-3110	31	13	are	be	AUX
cana-3110	31	14	not	not	PART
cana-3110	31	15	particularly	particularly	ADV
cana-3110	31	16	good	good	ADJ
cana-3110	31	17	,	,	PUNCT
cana-3110	31	18	hence	hence	ADV
cana-3110	31	19	strong	strong	ADJ
cana-3110	31	20	pre	pre	ADJ
cana-3110	31	21	-	-	ADJ
cana-3110	31	22	processing	processing	ADJ
cana-3110	31	23	techniques	technique	NOUN
cana-3110	31	24	are	be	AUX
cana-3110	31	25	required	require	VERB
cana-3110	31	26	.	.	PUNCT
cana-3110	32	1	some	some	PRON
cana-3110	32	2	of	of	ADP
cana-3110	32	3	the	the	DET
cana-3110	32	4	issues	issue	NOUN
cana-3110	32	5	that	that	PRON
cana-3110	32	6	make	make	VERB
cana-3110	32	7	accurate	accurate	ADJ
cana-3110	32	8	roi	roi	NOUN
cana-3110	32	9	extraction	extraction	NOUN
cana-3110	32	10	more	more	ADV
cana-3110	32	11	difficult	difficult	ADJ
cana-3110	32	12	include	include	VERB
cana-3110	32	13	noise	noise	NOUN
cana-3110	32	14	,	,	PUNCT
cana-3110	32	15	poor	poor	ADJ
cana-3110	32	16	lighting	lighting	NOUN
cana-3110	32	17	,	,	PUNCT
cana-3110	32	18	low	low	ADJ
cana-3110	32	19	contrast	contrast	NOUN
cana-3110	32	20	.	.	PUNCT
cana-3110	33	1	normal	normal	ADJ
cana-3110	33	2	methods	method	NOUN
cana-3110	33	3	of	of	ADP
cana-3110	33	4	enhancing	enhance	VERB
cana-3110	33	5	photos	photo	NOUN
cana-3110	33	6	,	,	PUNCT
cana-3110	33	7	such	such	ADJ
cana-3110	33	8	as	as	ADP
cana-3110	33	9	histogram	histogram	NOUN
cana-3110	33	10	equalisation	equalisation	NOUN
cana-3110	33	11	,	,	PUNCT
cana-3110	33	12	do	do	AUX
cana-3110	33	13	n't	not	PART
cana-3110	33	14	always	always	ADV
cana-3110	33	15	work	work	VERB
cana-3110	33	16	well	well	ADV
cana-3110	33	17	with	with	ADP
cana-3110	33	18	these	these	DET
cana-3110	33	19	issues	issue	NOUN
cana-3110	33	20	as	as	SCONJ
cana-3110	33	21	they	they	PRON
cana-3110	33	22	could	could	AUX
cana-3110	33	23	either	either	CCONJ
cana-3110	33	24	remove	remove	VERB
cana-3110	33	25	vital	vital	ADJ
cana-3110	33	26	elements	element	NOUN
cana-3110	33	27	or	or	CCONJ
cana-3110	33	28	make	make	VERB
cana-3110	33	29	the	the	DET
cana-3110	33	30	picture	picture	NOUN
cana-3110	33	31	too	too	ADV
cana-3110	33	32	perfect	perfect	ADJ
cana-3110	33	33	.	.	PUNCT
cana-3110	34	1	thus	thus	ADV
cana-3110	34	2	,	,	PUNCT
cana-3110	34	3	a	a	DET
cana-3110	34	4	particular	particular	ADJ
cana-3110	34	5	pre	pre	ADJ
cana-3110	34	6	-	-	ADJ
cana-3110	34	7	processing	processing	ADJ
cana-3110	34	8	system	system	NOUN
cana-3110	34	9	must	must	AUX
cana-3110	34	10	be	be	AUX
cana-3110	34	11	able	able	ADJ
cana-3110	34	12	to	to	PART
cana-3110	34	13	handle	handle	VERB
cana-3110	34	14	various	various	ADJ
cana-3110	34	15	image	image	NOUN
cana-3110	34	16	kinds	kind	NOUN
cana-3110	34	17	while	while	SCONJ
cana-3110	34	18	maintaining	maintain	VERB
cana-3110	34	19	relevant	relevant	ADJ
cana-3110	34	20	characteristics	characteristic	NOUN
cana-3110	34	21	required	require	VERB
cana-3110	34	22	for	for	ADP
cana-3110	34	23	analysis	analysis	NOUN
cana-3110	34	24	[	[	X
cana-3110	34	25	3	3	NUM
cana-3110	34	26	]	]	PUNCT
cana-3110	34	27	.	.	PUNCT
cana-3110	35	1	this	this	DET
cana-3110	35	2	work	work	NOUN
cana-3110	35	3	proposes	propose	VERB
cana-3110	35	4	a	a	DET
cana-3110	35	5	novel	novel	ADJ
cana-3110	35	6	pre	pre	ADJ
cana-3110	35	7	-	-	ADJ
cana-3110	35	8	processing	processing	ADJ
cana-3110	35	9	technique	technique	NOUN
cana-3110	35	10	aimed	aim	VERB
cana-3110	35	11	at	at	ADP
cana-3110	35	12	addressing	address	VERB
cana-3110	35	13	certain	certain	ADJ
cana-3110	35	14	issues	issue	NOUN
cana-3110	35	15	.	.	PUNCT
cana-3110	36	1	this	this	DET
cana-3110	36	2	method	method	NOUN
cana-3110	36	3	precisely	precisely	ADV
cana-3110	36	4	splits	split	VERB
cana-3110	36	5	the	the	DET
cana-3110	36	6	roi	roi	NOUN
cana-3110	36	7	,	,	PUNCT
cana-3110	36	8	increases	increase	VERB
cana-3110	36	9	contrast	contrast	NOUN
cana-3110	36	10	,	,	PUNCT
cana-3110	36	11	and	and	CCONJ
cana-3110	36	12	eliminates	eliminate	VERB
cana-3110	36	13	regions	region	NOUN
cana-3110	36	14	not	not	PART
cana-3110	36	15	worth	worth	ADJ
cana-3110	36	16	considering	consider	VERB
cana-3110	36	17	.	.	PUNCT
cana-3110	37	1	focussing	focusse	VERB
cana-3110	37	2	on	on	ADP
cana-3110	37	3	removing	remove	VERB
cana-3110	37	4	uncertainty	uncertainty	NOUN
cana-3110	37	5	and	and	CCONJ
cana-3110	37	6	simplifying	simplify	VERB
cana-3110	37	7	things	thing	NOUN
cana-3110	37	8	helps	help	VERB
cana-3110	37	9	the	the	DET
cana-3110	37	10	framework	framework	NOUN
cana-3110	37	11	make	make	VERB
cana-3110	37	12	x	x	ADJ
cana-3110	37	13	-	-	NOUN
cana-3110	37	14	ray	ray	NOUN
cana-3110	37	15	images	image	NOUN
cana-3110	37	16	suitable	suitable	ADJ
cana-3110	37	17	for	for	ADP
cana-3110	37	18	categorisation	categorisation	NOUN
cana-3110	37	19	chores	chore	NOUN
cana-3110	37	20	.	.	PUNCT
cana-3110	38	1	gaussian	gaussian	ADJ
cana-3110	38	2	blurring	blurring	NOUN
cana-3110	38	3	,	,	PUNCT
cana-3110	38	4	thresholding	thresholding	NOUN
cana-3110	38	5	,	,	PUNCT
cana-3110	38	6	and	and	CCONJ
cana-3110	38	7	cutting	cut	VERB
cana-3110	38	8	help	help	NOUN
cana-3110	38	9	to	to	ADP
cana-3110	38	10	fine	fine	ADJ
cana-3110	38	11	-	-	PUNCT
cana-3110	38	12	tune	tune	NOUN
cana-3110	38	13	the	the	DET
cana-3110	38	14	region	region	NOUN
cana-3110	38	15	of	of	ADP
cana-3110	38	16	the	the	DET
cana-3110	38	17	knee	knee	NOUN
cana-3110	38	18	joint	joint	NOUN
cana-3110	38	19	under	under	ADP
cana-3110	38	20	segmentation	segmentation	NOUN
cana-3110	38	21	.	.	PUNCT
cana-3110	39	1	one	one	NUM
cana-3110	39	2	of	of	ADP
cana-3110	39	3	the	the	DET
cana-3110	39	4	most	most	ADV
cana-3110	39	5	crucial	crucial	ADJ
cana-3110	39	6	diagnostic	diagnostic	ADJ
cana-3110	39	7	aspects	aspect	NOUN
cana-3110	39	8	for	for	ADP
cana-3110	39	9	kl	kl	NOUN
cana-3110	39	10	grades	grade	NOUN
cana-3110	39	11	,	,	PUNCT
cana-3110	39	12	the	the	DET
cana-3110	39	13	gap	gap	NOUN
cana-3110	39	14	area	area	NOUN
cana-3110	39	15	between	between	ADP
cana-3110	39	16	the	the	DET
cana-3110	39	17	knee	knee	NOUN
cana-3110	39	18	joints	joint	NOUN
cana-3110	39	19	is	be	AUX
cana-3110	39	20	also	also	ADV
cana-3110	39	21	found	find	VERB
cana-3110	39	22	and	and	CCONJ
cana-3110	39	23	measured	measure	VERB
cana-3110	39	24	using	use	VERB
cana-3110	39	25	sophisticated	sophisticated	ADJ
cana-3110	39	26	statistics	statistic	NOUN
cana-3110	39	27	and	and	CCONJ
cana-3110	39	28	waveletbased	waveletbase	VERB
cana-3110	39	29	techniques	technique	NOUN
cana-3110	39	30	[	[	X
cana-3110	39	31	4	4	NUM
cana-3110	39	32	]	]	PUNCT
cana-3110	39	33	.	.	PUNCT
cana-3110	40	1	with	with	ADP
cana-3110	40	2	more	more	ADJ
cana-3110	40	3	than	than	ADP
cana-3110	40	4	8,000	8,000	NUM
cana-3110	40	5	x	x	NOUN
cana-3110	40	6	-	-	NOUN
cana-3110	40	7	ray	ray	NOUN
cana-3110	40	8	images	image	NOUN
cana-3110	40	9	categorised	categorise	VERB
cana-3110	40	10	into	into	ADP
cana-3110	40	11	five	five	NUM
cana-3110	40	12	kl	kl	NOUN
cana-3110	40	13	classes	class	NOUN
cana-3110	40	14	,	,	PUNCT
cana-3110	40	15	the	the	DET
cana-3110	40	16	research	research	NOUN
cana-3110	40	17	makes	make	VERB
cana-3110	40	18	advantage	advantage	NOUN
cana-3110	40	19	of	of	ADP
cana-3110	40	20	a	a	DET
cana-3110	40	21	high	high	ADJ
cana-3110	40	22	-	-	PUNCT
cana-3110	40	23	quality	quality	NOUN
cana-3110	40	24	publically	publically	ADV
cana-3110	40	25	available	available	ADJ
cana-3110	40	26	kaggle	kaggle	ADJ
cana-3110	40	27	dataset	dataset	NOUN
cana-3110	40	28	.	.	PUNCT
cana-3110	41	1	these	these	DET
cana-3110	41	2	images	image	NOUN
cana-3110	41	3	undergo	undergo	VERB
cana-3110	41	4	extensive	extensive	ADJ
cana-3110	41	5	pre	pre	NOUN
cana-3110	41	6	-	-	ADJ
cana-3110	41	7	processing	processing	NOUN
cana-3110	41	8	to	to	PART
cana-3110	41	9	address	address	VERB
cana-3110	41	10	issues	issue	NOUN
cana-3110	41	11	with	with	ADP
cana-3110	41	12	image	image	NOUN
cana-3110	41	13	quality	quality	NOUN
cana-3110	41	14	and	and	CCONJ
cana-3110	41	15	changing	change	VERB
cana-3110	41	16	over	over	ADP
cana-3110	41	17	time	time	NOUN
cana-3110	41	18	illumination	illumination	NOUN
cana-3110	41	19	.	.	PUNCT
cana-3110	42	1	the	the	DET
cana-3110	42	2	three	three	NUM
cana-3110	42	3	-	-	PUNCT
cana-3110	42	4	stage	stage	NOUN
cana-3110	42	5	approach	approach	NOUN
cana-3110	42	6	of	of	ADP
cana-3110	42	7	the	the	DET
cana-3110	42	8	framework	framework	NOUN
cana-3110	42	9	is	be	AUX
cana-3110	42	10	intended	intend	VERB
cana-3110	42	11	to	to	PART
cana-3110	42	12	eliminate	eliminate	VERB
cana-3110	42	13	noise	noise	NOUN
cana-3110	42	14	and	and	CCONJ
cana-3110	42	15	regions	region	NOUN
cana-3110	42	16	not	not	PART
cana-3110	42	17	vital	vital	ADJ
cana-3110	42	18	while	while	SCONJ
cana-3110	42	19	clearly	clearly	ADV
cana-3110	42	20	segmenting	segment	VERB
cana-3110	42	21	the	the	DET
cana-3110	42	22	knee	knee	NOUN
cana-3110	42	23	joint	joint	NOUN
cana-3110	42	24	.	.	PUNCT
cana-3110	43	1	the	the	DET
cana-3110	43	2	initial	initial	ADJ
cana-3110	43	3	findings	finding	NOUN
cana-3110	43	4	indicate	indicate	VERB
cana-3110	43	5	that	that	SCONJ
cana-3110	43	6	the	the	DET
cana-3110	43	7	framework	framework	NOUN
cana-3110	43	8	significantly	significantly	ADV
cana-3110	43	9	increases	increase	VERB
cana-3110	43	10	roi	roi	NOUN
cana-3110	43	11	extraction	extraction	NOUN
cana-3110	43	12	,	,	PUNCT
cana-3110	43	13	therefore	therefore	ADV
cana-3110	43	14	it	it	PRON
cana-3110	43	15	may	may	AUX
cana-3110	43	16	be	be	AUX
cana-3110	43	17	used	use	VERB
cana-3110	43	18	for	for	ADP
cana-3110	43	19	further	further	ADJ
cana-3110	43	20	classification	classification	NOUN
cana-3110	43	21	projects	project	NOUN
cana-3110	43	22	using	use	VERB
cana-3110	43	23	models	model	NOUN
cana-3110	43	24	of	of	ADP
cana-3110	43	25	machine	machine	NOUN
cana-3110	43	26	learning	learning	NOUN
cana-3110	43	27	and	and	CCONJ
cana-3110	43	28	deep	deep	ADJ
cana-3110	43	29	learning	learning	NOUN
cana-3110	43	30	.	.	PUNCT
cana-3110	44	1	the	the	DET
cana-3110	44	2	framework	framework	NOUN
cana-3110	44	3	recognises	recognise	VERB
cana-3110	44	4	it	it	PRON
cana-3110	44	5	can	can	AUX
cana-3110	44	6	not	not	PART
cana-3110	44	7	manage	manage	VERB
cana-3110	44	8	severe	severe	ADJ
cana-3110	44	9	circumstances	circumstance	NOUN
cana-3110	44	10	of	of	ADP
cana-3110	44	11	low	low	ADJ
cana-3110	44	12	contrast	contrast	NOUN
cana-3110	44	13	and	and	CCONJ
cana-3110	44	14	irregular	irregular	ADJ
cana-3110	44	15	illumination	illumination	NOUN
cana-3110	44	16	,	,	PUNCT
cana-3110	44	17	even	even	ADV
cana-3110	44	18	if	if	SCONJ
cana-3110	44	19	it	it	PRON
cana-3110	44	20	functions	function	VERB
cana-3110	44	21	otherwise	otherwise	ADV
cana-3110	44	22	.	.	PUNCT
cana-3110	45	1	more	more	ADJ
cana-3110	45	2	optimisation	optimisation	NOUN
cana-3110	45	3	is	be	AUX
cana-3110	45	4	required	require	VERB
cana-3110	45	5	if	if	SCONJ
cana-3110	45	6	we	we	PRON
cana-3110	45	7	are	be	AUX
cana-3110	45	8	to	to	PART
cana-3110	45	9	handle	handle	VERB
cana-3110	45	10	these	these	DET
cana-3110	45	11	issues	issue	NOUN
cana-3110	45	12	.	.	PUNCT
cana-3110	46	1	for	for	ADP
cana-3110	46	2	instance	instance	NOUN
cana-3110	46	3	,	,	PUNCT
cana-3110	46	4	enhanced	enhance	VERB
cana-3110	46	5	techniques	technique	NOUN
cana-3110	46	6	of	of	ADP
cana-3110	46	7	contrast	contrast	NOUN
cana-3110	46	8	enhancement	enhancement	NOUN
cana-3110	46	9	and	and	CCONJ
cana-3110	46	10	noise	noise	NOUN
cana-3110	46	11	reduction	reduction	NOUN
cana-3110	46	12	filters	filter	NOUN
cana-3110	46	13	will	will	AUX
cana-3110	46	14	have	have	VERB
cana-3110	46	15	to	to	PART
cana-3110	46	16	be	be	AUX
cana-3110	46	17	included	include	VERB
cana-3110	46	18	.	.	PUNCT
cana-3110	47	1	still	still	ADV
cana-3110	47	2	,	,	PUNCT
cana-3110	47	3	the	the	DET
cana-3110	47	4	proposed	propose	VERB
cana-3110	47	5	approach	approach	NOUN
cana-3110	47	6	creates	create	VERB
cana-3110	47	7	a	a	DET
cana-3110	47	8	good	good	ADJ
cana-3110	47	9	basis	basis	NOUN
cana-3110	47	10	for	for	ADP
cana-3110	47	11	automated	automate	VERB
cana-3110	47	12	diagnosis	diagnosis	NOUN
cana-3110	47	13	of	of	ADP
cana-3110	47	14	knee	knee	NOUN
cana-3110	47	15	oa	oa	INTJ
cana-3110	47	16	,	,	PUNCT
cana-3110	47	17	which	which	PRON
cana-3110	47	18	will	will	AUX
cana-3110	47	19	result	result	VERB
cana-3110	47	20	in	in	ADP
cana-3110	47	21	improved	improved	ADJ
cana-3110	47	22	feature	feature	NOUN
cana-3110	47	23	extraction	extraction	NOUN
cana-3110	47	24	,	,	PUNCT
cana-3110	47	25	greater	great	ADJ
cana-3110	47	26	classification	classification	NOUN
cana-3110	47	27	accuracy	accuracy	NOUN
cana-3110	47	28	,	,	PUNCT
cana-3110	47	29	and	and	CCONJ
cana-3110	47	30	better	well	ADJ
cana-3110	47	31	clinical	clinical	ADJ
cana-3110	47	32	decision	decision	NOUN
cana-3110	47	33	-	-	PUNCT
cana-3110	47	34	making	making	NOUN
cana-3110	47	35	ultimately	ultimately	ADV
cana-3110	47	36	.	.	PUNCT
cana-3110	48	1	particularly	particularly	ADV
cana-3110	48	2	in	in	ADP
cana-3110	48	3	terms	term	NOUN
cana-3110	48	4	of	of	ADP
cana-3110	48	5	duties	duty	NOUN
cana-3110	48	6	like	like	ADP
cana-3110	48	7	prediction	prediction	NOUN
cana-3110	48	8	and	and	CCONJ
cana-3110	48	9	classification	classification	NOUN
cana-3110	48	10	,	,	PUNCT
cana-3110	48	11	this	this	DET
cana-3110	48	12	study	study	NOUN
cana-3110	48	13	demonstrates	demonstrate	VERB
cana-3110	48	14	the	the	DET
cana-3110	48	15	significance	significance	NOUN
cana-3110	48	16	of	of	ADP
cana-3110	48	17	pre	pre	ADJ
cana-3110	48	18	-	-	ADJ
cana-3110	48	19	processing	processing	NOUN
cana-3110	48	20	in	in	ADP
cana-3110	48	21	medical	medical	ADJ
cana-3110	48	22	imaging	imaging	NOUN
cana-3110	48	23	.	.	PUNCT
cana-3110	49	1	apart	apart	ADV
cana-3110	49	2	from	from	ADP
cana-3110	49	3	increasing	increase	VERB
cana-3110	49	4	the	the	DET
cana-3110	49	5	accuracy	accuracy	NOUN
cana-3110	49	6	of	of	ADP
cana-3110	49	7	knee	knee	NOUN
cana-3110	49	8	oa	oa	ADP
cana-3110	49	9	diagnosis	diagnosis	NOUN
cana-3110	49	10	,	,	PUNCT
cana-3110	49	11	the	the	DET
cana-3110	49	12	proposed	propose	VERB
cana-3110	49	13	method	method	NOUN
cana-3110	49	14	advances	advance	NOUN
cana-3110	49	15	communications	communication	NOUN
cana-3110	49	16	on	on	ADP
cana-3110	49	17	applied	apply	VERB
cana-3110	49	18	nonlinear	nonlinear	ADJ
cana-3110	49	19	analysis	analysis	NOUN
cana-3110	49	20	issn	issn	NOUN
cana-3110	49	21	:	:	PUNCT
cana-3110	49	22	1074	1074	NUM
cana-3110	49	23	-	-	PUNCT
cana-3110	49	24	133x	133x	NUM
cana-3110	49	25	vol	vol	NOUN
cana-3110	49	26	32	32	NUM
cana-3110	49	27	no	no	NOUN
cana-3110	49	28	.	.	PUNCT
cana-3110	50	1	5s	5s	NUM
cana-3110	50	2	(	(	PUNCT
cana-3110	50	3	2025	2025	NUM
cana-3110	50	4	)	)	PUNCT
cana-3110	50	5	403	403	NUM
cana-3110	50	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3110	50	7	the	the	DET
cana-3110	50	8	area	area	NOUN
cana-3110	50	9	of	of	ADP
cana-3110	50	10	medical	medical	ADJ
cana-3110	50	11	image	image	NOUN
cana-3110	50	12	processing	processing	NOUN
cana-3110	50	13	by	by	ADP
cana-3110	50	14	offering	offer	VERB
cana-3110	50	15	a	a	DET
cana-3110	50	16	broad	broad	ADJ
cana-3110	50	17	response	response	NOUN
cana-3110	50	18	applicable	applicable	ADJ
cana-3110	50	19	for	for	ADP
cana-3110	50	20	many	many	ADJ
cana-3110	50	21	datasets	dataset	NOUN
cana-3110	50	22	and	and	CCONJ
cana-3110	50	23	imaging	imaging	NOUN
cana-3110	50	24	scenarios	scenario	NOUN
cana-3110	50	25	.	.	PUNCT
cana-3110	51	1	by	by	ADP
cana-3110	51	2	bridging	bridge	VERB
cana-3110	51	3	the	the	DET
cana-3110	51	4	gap	gap	NOUN
cana-3110	51	5	between	between	ADP
cana-3110	51	6	the	the	DET
cana-3110	51	7	restrictions	restriction	NOUN
cana-3110	51	8	of	of	ADP
cana-3110	51	9	pictures	picture	NOUN
cana-3110	51	10	and	and	CCONJ
cana-3110	51	11	clinical	clinical	ADJ
cana-3110	51	12	demands	demand	NOUN
cana-3110	51	13	,	,	PUNCT
cana-3110	51	14	the	the	DET
cana-3110	51	15	research	research	NOUN
cana-3110	51	16	paves	pave	VERB
cana-3110	51	17	the	the	DET
cana-3110	51	18	path	path	NOUN
cana-3110	51	19	for	for	ADP
cana-3110	51	20	further	further	ADJ
cana-3110	51	21	developments	development	NOUN
cana-3110	51	22	in	in	ADP
cana-3110	51	23	autonomous	autonomous	ADJ
cana-3110	51	24	medical	medical	ADJ
cana-3110	51	25	examinations	examination	NOUN
cana-3110	51	26	.	.	PUNCT
cana-3110	52	1	2	2	X
cana-3110	52	2	.	.	X
cana-3110	52	3	related	relate	VERB
cana-3110	52	4	work	work	NOUN
cana-3110	52	5	using	use	VERB
cana-3110	52	6	image	image	NOUN
cana-3110	52	7	processing	processing	NOUN
cana-3110	52	8	and	and	CCONJ
cana-3110	52	9	machine	machine	NOUN
cana-3110	52	10	learning	learn	VERB
cana-3110	52	11	to	to	PART
cana-3110	52	12	assist	assist	VERB
cana-3110	52	13	individuals	individual	NOUN
cana-3110	52	14	diagnosed	diagnose	VERB
cana-3110	52	15	with	with	ADP
cana-3110	52	16	osteoarthritis	osteoarthritis	NOUN
cana-3110	52	17	(	(	PUNCT
cana-3110	52	18	oa	oa	NOUN
cana-3110	52	19	)	)	PUNCT
cana-3110	52	20	of	of	ADP
cana-3110	52	21	the	the	DET
cana-3110	52	22	knee	knee	NOUN
cana-3110	52	23	piques	pique	VERB
cana-3110	52	24	more	more	ADJ
cana-3110	52	25	and	and	CCONJ
cana-3110	52	26	more	more	ADJ
cana-3110	52	27	interest	interest	NOUN
cana-3110	52	28	among	among	ADP
cana-3110	52	29	people	people	NOUN
cana-3110	52	30	.	.	PUNCT
cana-3110	53	1	these	these	DET
cana-3110	53	2	techniques	technique	NOUN
cana-3110	53	3	seek	seek	VERB
cana-3110	53	4	to	to	PART
cana-3110	53	5	solve	solve	VERB
cana-3110	53	6	issues	issue	NOUN
cana-3110	53	7	with	with	ADP
cana-3110	53	8	clinical	clinical	ADJ
cana-3110	53	9	imaging	imaging	NOUN
cana-3110	53	10	systems	system	NOUN
cana-3110	53	11	such	such	ADJ
cana-3110	53	12	image	image	NOUN
cana-3110	53	13	noise	noise	NOUN
cana-3110	53	14	,	,	PUNCT
cana-3110	53	15	poor	poor	ADJ
cana-3110	53	16	sharpness	sharpness	NOUN
cana-3110	53	17	,	,	PUNCT
cana-3110	53	18	and	and	CCONJ
cana-3110	53	19	variability	variability	NOUN
cana-3110	53	20	while	while	SCONJ
cana-3110	53	21	simultaneously	simultaneously	ADV
cana-3110	53	22	enhancing	enhance	VERB
cana-3110	53	23	the	the	DET
cana-3110	53	24	accuracy	accuracy	NOUN
cana-3110	53	25	of	of	ADP
cana-3110	53	26	diagnosis	diagnosis	NOUN
cana-3110	53	27	.	.	PUNCT
cana-3110	54	1	especially	especially	ADV
cana-3110	54	2	when	when	SCONJ
cana-3110	54	3	using	use	VERB
cana-3110	54	4	the	the	DET
cana-3110	54	5	kellgren	kellgren	NOUN
cana-3110	54	6	and	and	CCONJ
cana-3110	54	7	lawrence	lawrence	PROPN
cana-3110	54	8	(	(	PUNCT
cana-3110	54	9	kl	kl	PROPN
cana-3110	54	10	)	)	PUNCT
cana-3110	54	11	grading	grading	NOUN
cana-3110	54	12	method	method	NOUN
cana-3110	54	13	,	,	PUNCT
cana-3110	54	14	there	there	PRON
cana-3110	54	15	are	be	VERB
cana-3110	54	16	many	many	ADJ
cana-3110	54	17	approaches	approach	NOUN
cana-3110	54	18	to	to	PART
cana-3110	54	19	prepare	prepare	VERB
cana-3110	54	20	knee	knee	NOUN
cana-3110	54	21	x	x	NOUN
cana-3110	54	22	-	-	NOUN
cana-3110	54	23	ray	ray	NOUN
cana-3110	54	24	images	image	NOUN
cana-3110	54	25	so	so	SCONJ
cana-3110	54	26	that	that	SCONJ
cana-3110	54	27	they	they	PRON
cana-3110	54	28	may	may	AUX
cana-3110	54	29	be	be	AUX
cana-3110	54	30	precisely	precisely	ADV
cana-3110	54	31	segmented	segment	VERB
cana-3110	54	32	and	and	CCONJ
cana-3110	54	33	classified	classify	VERB
cana-3110	54	34	to	to	PART
cana-3110	54	35	reflect	reflect	VERB
cana-3110	54	36	the	the	DET
cana-3110	54	37	degree	degree	NOUN
cana-3110	54	38	of	of	ADP
cana-3110	54	39	osteoarthritis	osteoarthritis	NOUN
cana-3110	54	40	.	.	PUNCT
cana-3110	55	1	researchers	researcher	NOUN
cana-3110	55	2	have	have	AUX
cana-3110	55	3	used	use	VERB
cana-3110	55	4	many	many	ADJ
cana-3110	55	5	pre	pre	ADJ
cana-3110	55	6	-	-	ADJ
cana-3110	55	7	processing	processing	ADJ
cana-3110	55	8	techniques	technique	NOUN
cana-3110	55	9	to	to	PART
cana-3110	55	10	enhance	enhance	VERB
cana-3110	55	11	image	image	NOUN
cana-3110	55	12	quality	quality	NOUN
cana-3110	55	13	and	and	CCONJ
cana-3110	55	14	extract	extract	VERB
cana-3110	55	15	pertinent	pertinent	ADJ
cana-3110	55	16	characteristics	characteristic	NOUN
cana-3110	55	17	.	.	PUNCT
cana-3110	56	1	in	in	ADP
cana-3110	56	2	a	a	DET
cana-3110	56	3	mohammed	mohammed	PROPN
cana-3110	56	4	et	et	PROPN
cana-3110	56	5	al	al	PROPN
cana-3110	56	6	.	.	PROPN
cana-3110	56	7	(	(	PUNCT
cana-3110	56	8	2023	2023	NUM
cana-3110	56	9	)	)	PUNCT
cana-3110	56	10	x	x	X
cana-3110	56	11	-	-	NOUN
cana-3110	56	12	ray	ray	NOUN
cana-3110	56	13	of	of	ADP
cana-3110	56	14	the	the	DET
cana-3110	56	15	knee	knee	NOUN
cana-3110	56	16	was	be	AUX
cana-3110	56	17	pre	pre	VERB
cana-3110	56	18	-	-	VERB
cana-3110	56	19	processed	process	VERB
cana-3110	56	20	in	in	ADP
cana-3110	56	21	two	two	NUM
cana-3110	56	22	stages	stage	NOUN
cana-3110	56	23	twice	twice	ADV
cana-3110	56	24	.	.	PUNCT
cana-3110	57	1	each	each	DET
cana-3110	57	2	picture	picture	NOUN
cana-3110	57	3	's	's	PART
cana-3110	57	4	top	top	ADJ
cana-3110	57	5	and	and	CCONJ
cana-3110	57	6	bottom	bottom	NOUN
cana-3110	57	7	were	be	AUX
cana-3110	57	8	clipped	clip	VERB
cana-3110	57	9	off	off	ADP
cana-3110	57	10	sixty	sixty	NUM
cana-3110	57	11	pixels	pixel	NOUN
cana-3110	57	12	each	each	PRON
cana-3110	57	13	,	,	PUNCT
cana-3110	57	14	then	then	ADV
cana-3110	57	15	histogram	histogram	NOUN
cana-3110	57	16	equalisation	equalisation	NOUN
cana-3110	57	17	was	be	AUX
cana-3110	57	18	used	use	VERB
cana-3110	57	19	to	to	PART
cana-3110	57	20	alter	alter	VERB
cana-3110	57	21	the	the	DET
cana-3110	57	22	distribution	distribution	NOUN
cana-3110	57	23	of	of	ADP
cana-3110	57	24	the	the	DET
cana-3110	57	25	pixel	pixel	PROPN
cana-3110	57	26	intensities	intensity	NOUN
cana-3110	57	27	.	.	PUNCT
cana-3110	58	1	this	this	DET
cana-3110	58	2	technique	technique	NOUN
cana-3110	58	3	raised	raise	VERB
cana-3110	58	4	the	the	DET
cana-3110	58	5	dynamic	dynamic	ADJ
cana-3110	58	6	range	range	NOUN
cana-3110	58	7	of	of	ADP
cana-3110	58	8	pixel	pixel	PROPN
cana-3110	58	9	values	value	NOUN
cana-3110	58	10	,	,	PUNCT
cana-3110	58	11	but	but	CCONJ
cana-3110	58	12	it	it	PRON
cana-3110	58	13	might	might	AUX
cana-3110	58	14	also	also	ADV
cana-3110	58	15	lead	lead	VERB
cana-3110	58	16	to	to	ADP
cana-3110	58	17	over	over	ADP
cana-3110	58	18	-	-	PUNCT
cana-3110	58	19	enhancement	enhancement	NOUN
cana-3110	58	20	,	,	PUNCT
cana-3110	58	21	which	which	PRON
cana-3110	58	22	distorted	distort	VERB
cana-3110	58	23	illumination	illumination	NOUN
cana-3110	58	24	levels	level	NOUN
cana-3110	58	25	and	and	CCONJ
cana-3110	58	26	changed	change	VERB
cana-3110	58	27	significant	significant	ADJ
cana-3110	58	28	features	feature	NOUN
cana-3110	58	29	.	.	PUNCT
cana-3110	59	1	khalid	khalid	PROPN
cana-3110	59	2	et	et	PROPN
cana-3110	59	3	al	al	PROPN
cana-3110	59	4	.	.	PROPN
cana-3110	59	5	(	(	PUNCT
cana-3110	59	6	2023	2023	NUM
cana-3110	59	7	)	)	PUNCT
cana-3110	59	8	likewise	likewise	ADV
cana-3110	59	9	improved	improve	VERB
cana-3110	59	10	x	x	ADJ
cana-3110	59	11	-	-	NOUN
cana-3110	59	12	ray	ray	NOUN
cana-3110	59	13	images	image	NOUN
cana-3110	59	14	from	from	ADP
cana-3110	59	15	the	the	DET
cana-3110	59	16	osteoarthritis	osteoarthritis	NOUN
cana-3110	59	17	initiative	initiative	NOUN
cana-3110	59	18	(	(	PUNCT
cana-3110	59	19	oai	oai	NOUN
cana-3110	59	20	)	)	PUNCT
cana-3110	59	21	collection	collection	NOUN
cana-3110	59	22	by	by	ADP
cana-3110	59	23	means	mean	NOUN
cana-3110	59	24	of	of	ADP
cana-3110	59	25	contrast	contrast	NOUN
cana-3110	59	26	-	-	PUNCT
cana-3110	59	27	limited	limit	VERB
cana-3110	59	28	adaptive	adaptive	ADJ
cana-3110	59	29	histogram	histogram	NOUN
cana-3110	59	30	equalisation	equalisation	NOUN
cana-3110	59	31	(	(	PUNCT
cana-3110	59	32	clahe	clahe	PROPN
cana-3110	59	33	)	)	PUNCT
cana-3110	59	34	.	.	PUNCT
cana-3110	60	1	through	through	ADP
cana-3110	60	2	averaging	average	VERB
cana-3110	60	3	the	the	DET
cana-3110	60	4	values	value	NOUN
cana-3110	60	5	of	of	ADP
cana-3110	60	6	pixels	pixel	NOUN
cana-3110	60	7	next	next	ADV
cana-3110	60	8	to	to	ADP
cana-3110	60	9	one	one	NUM
cana-3110	60	10	another	another	DET
cana-3110	60	11	,	,	PUNCT
cana-3110	60	12	the	the	DET
cana-3110	60	13	averaging	average	VERB
cana-3110	60	14	filter	filter	NOUN
cana-3110	60	15	reduces	reduce	VERB
cana-3110	60	16	noise	noise	NOUN
cana-3110	60	17	.	.	PUNCT
cana-3110	61	1	conversely	conversely	ADV
cana-3110	61	2	,	,	PUNCT
cana-3110	61	3	clahe	clahe	PROPN
cana-3110	61	4	improved	improve	VERB
cana-3110	61	5	local	local	ADJ
cana-3110	61	6	contrast	contrast	NOUN
cana-3110	61	7	,	,	PUNCT
cana-3110	61	8	which	which	PRON
cana-3110	61	9	helped	help	VERB
cana-3110	61	10	one	one	NUM
cana-3110	61	11	to	to	PART
cana-3110	61	12	see	see	VERB
cana-3110	61	13	the	the	DET
cana-3110	61	14	knee	knee	NOUN
cana-3110	61	15	joint	joint	NOUN
cana-3110	61	16	's	's	PART
cana-3110	61	17	components	component	NOUN
cana-3110	61	18	more	more	ADV
cana-3110	61	19	easily	easily	ADV
cana-3110	61	20	.	.	PUNCT
cana-3110	62	1	zhong	zhong	PROPN
cana-3110	62	2	et	et	PROPN
cana-3110	62	3	al	al	PROPN
cana-3110	62	4	.	.	PROPN
cana-3110	62	5	(	(	PUNCT
cana-3110	62	6	2023	2023	NUM
cana-3110	62	7	)	)	PUNCT
cana-3110	62	8	developed	develop	VERB
cana-3110	62	9	yet	yet	ADV
cana-3110	62	10	another	another	DET
cana-3110	62	11	fascinating	fascinating	ADJ
cana-3110	62	12	technique	technique	NOUN
cana-3110	62	13	.	.	PUNCT
cana-3110	63	1	to	to	PART
cana-3110	63	2	determine	determine	VERB
cana-3110	63	3	the	the	DET
cana-3110	63	4	area	area	NOUN
cana-3110	63	5	of	of	ADP
cana-3110	63	6	interest	interest	NOUN
cana-3110	63	7	(	(	PUNCT
cana-3110	63	8	roi	roi	NOUN
cana-3110	63	9	)	)	PUNCT
cana-3110	63	10	for	for	ADP
cana-3110	63	11	knee	knee	NOUN
cana-3110	63	12	oa	oa	NOUN
cana-3110	63	13	categorisation	categorisation	NOUN
cana-3110	63	14	,	,	PUNCT
cana-3110	63	15	they	they	PRON
cana-3110	63	16	used	use	VERB
cana-3110	63	17	an	an	DET
cana-3110	63	18	automated	automate	VERB
cana-3110	63	19	cutting	cut	VERB
cana-3110	63	20	tool	tool	NOUN
cana-3110	63	21	.	.	PUNCT
cana-3110	64	1	the	the	DET
cana-3110	64	2	technique	technique	NOUN
cana-3110	64	3	computed	compute	VERB
cana-3110	64	4	bounding	bounding	NOUN
cana-3110	64	5	boxes	box	NOUN
cana-3110	64	6	for	for	ADP
cana-3110	64	7	significant	significant	ADJ
cana-3110	64	8	sections	section	NOUN
cana-3110	64	9	including	include	VERB
cana-3110	64	10	the	the	DET
cana-3110	64	11	meniscus	meniscus	NOUN
cana-3110	64	12	,	,	PUNCT
cana-3110	64	13	femoral	femoral	ADJ
cana-3110	64	14	,	,	PUNCT
cana-3110	64	15	patellar	patellar	ADJ
cana-3110	64	16	cartilage	cartilage	NOUN
cana-3110	64	17	,	,	PUNCT
cana-3110	64	18	and	and	CCONJ
cana-3110	64	19	tibial	tibial	ADJ
cana-3110	64	20	regions	region	NOUN
cana-3110	64	21	,	,	PUNCT
cana-3110	64	22	applied	apply	VERB
cana-3110	64	23	segmentation	segmentation	NOUN
cana-3110	64	24	masks	mask	NOUN
cana-3110	64	25	,	,	PUNCT
cana-3110	64	26	and	and	CCONJ
cana-3110	64	27	altered	alter	VERB
cana-3110	64	28	the	the	DET
cana-3110	64	29	picture	picture	NOUN
cana-3110	64	30	scale	scale	NOUN
cana-3110	64	31	.	.	PUNCT
cana-3110	65	1	though	though	SCONJ
cana-3110	65	2	it	it	PRON
cana-3110	65	3	succeeded	succeed	VERB
cana-3110	65	4	,	,	PUNCT
cana-3110	65	5	this	this	DET
cana-3110	65	6	approach	approach	NOUN
cana-3110	65	7	required	require	VERB
cana-3110	65	8	segmentation	segmentation	NOUN
cana-3110	65	9	masks	mask	NOUN
cana-3110	65	10	and	and	CCONJ
cana-3110	65	11	bounding	bound	VERB
cana-3110	65	12	box	box	NOUN
cana-3110	65	13	placements	placement	NOUN
cana-3110	65	14	to	to	PART
cana-3110	65	15	be	be	AUX
cana-3110	65	16	fine	fine	ADV
cana-3110	65	17	-	-	PUNCT
cana-3110	65	18	tuned	tune	VERB
cana-3110	65	19	,	,	PUNCT
cana-3110	65	20	which	which	PRON
cana-3110	65	21	may	may	AUX
cana-3110	65	22	not	not	PART
cana-3110	65	23	be	be	AUX
cana-3110	65	24	appropriate	appropriate	ADJ
cana-3110	65	25	for	for	ADP
cana-3110	65	26	other	other	ADJ
cana-3110	65	27	datasets	dataset	NOUN
cana-3110	65	28	.	.	PUNCT
cana-3110	66	1	zhong	zhong	PROPN
cana-3110	66	2	et	et	PROPN
cana-3110	66	3	al	al	PROPN
cana-3110	66	4	.	.	PROPN
cana-3110	66	5	used	use	VERB
cana-3110	66	6	random	random	ADJ
cana-3110	66	7	spinning	spinning	NOUN
cana-3110	66	8	,	,	PUNCT
cana-3110	66	9	flipping	flipping	NOUN
cana-3110	66	10	,	,	PUNCT
cana-3110	66	11	and	and	CCONJ
cana-3110	66	12	contrast	contrast	NOUN
cana-3110	66	13	and	and	CCONJ
cana-3110	66	14	illumination	illumination	NOUN
cana-3110	66	15	modification	modification	NOUN
cana-3110	66	16	techniques	technique	NOUN
cana-3110	66	17	to	to	PART
cana-3110	66	18	add	add	VERB
cana-3110	66	19	to	to	ADP
cana-3110	66	20	the	the	DET
cana-3110	66	21	data	datum	NOUN
cana-3110	66	22	and	and	CCONJ
cana-3110	66	23	address	address	NOUN
cana-3110	66	24	class	class	NOUN
cana-3110	66	25	mismatch	mismatch	NOUN
cana-3110	66	26	.	.	PUNCT
cana-3110	67	1	this	this	DET
cana-3110	67	2	approach	approach	NOUN
cana-3110	67	3	struggled	struggle	VERB
cana-3110	67	4	,	,	PUNCT
cana-3110	67	5	however	however	ADV
cana-3110	67	6	,	,	PUNCT
cana-3110	67	7	with	with	ADP
cana-3110	67	8	images	image	NOUN
cana-3110	67	9	that	that	PRON
cana-3110	67	10	were	be	AUX
cana-3110	67	11	noisy	noisy	ADJ
cana-3110	67	12	or	or	CCONJ
cana-3110	67	13	lacked	lack	VERB
cana-3110	67	14	even	even	ADV
cana-3110	67	15	illumination	illumination	NOUN
cana-3110	67	16	,	,	PUNCT
cana-3110	67	17	which	which	PRON
cana-3110	67	18	produced	produce	VERB
cana-3110	67	19	lessthan	lessthan	NOUN
cana-3110	67	20	-	-	PUNCT
cana-3110	67	21	perfect	perfect	ADJ
cana-3110	67	22	sorting	sort	VERB
cana-3110	67	23	outcomes	outcome	NOUN
cana-3110	67	24	.	.	PUNCT
cana-3110	68	1	knee	knee	NOUN
cana-3110	68	2	oa	oa	PROPN
cana-3110	68	3	is	be	AUX
cana-3110	68	4	also	also	ADV
cana-3110	68	5	being	be	AUX
cana-3110	68	6	diagnosed	diagnose	VERB
cana-3110	68	7	using	use	VERB
cana-3110	68	8	more	more	ADV
cana-3110	68	9	often	often	ADV
cana-3110	68	10	deep	deep	ADV
cana-3110	68	11	learningbased	learningbase	VERB
cana-3110	68	12	approaches	approach	NOUN
cana-3110	68	13	.	.	PUNCT
cana-3110	69	1	combining	combine	VERB
cana-3110	69	2	more	more	ADJ
cana-3110	69	3	conventional	conventional	ADJ
cana-3110	69	4	pre	pre	ADJ
cana-3110	69	5	-	-	ADJ
cana-3110	69	6	processing	processing	ADJ
cana-3110	69	7	methods	method	NOUN
cana-3110	69	8	with	with	ADP
cana-3110	69	9	deep	deep	ADJ
cana-3110	69	10	neural	neural	ADJ
cana-3110	69	11	networks	network	NOUN
cana-3110	69	12	for	for	ADP
cana-3110	69	13	feature	feature	NOUN
cana-3110	69	14	extraction	extraction	NOUN
cana-3110	69	15	,	,	PUNCT
cana-3110	69	16	karim	karim	PROPN
cana-3110	69	17	et	et	PROPN
cana-3110	69	18	al	al	PROPN
cana-3110	69	19	.	.	PROPN
cana-3110	70	1	(	(	PUNCT
cana-3110	70	2	2021	2021	NUM
cana-3110	70	3	)	)	PUNCT
cana-3110	70	4	proposed	propose	VERB
cana-3110	70	5	using	use	VERB
cana-3110	70	6	switching	switching	NOUN
cana-3110	70	7	,	,	PUNCT
cana-3110	70	8	noise	noise	NOUN
cana-3110	70	9	addition	addition	NOUN
cana-3110	70	10	,	,	PUNCT
cana-3110	70	11	and	and	CCONJ
cana-3110	70	12	strength	strength	NOUN
cana-3110	70	13	control	control	NOUN
cana-3110	70	14	,	,	PUNCT
cana-3110	70	15	this	this	DET
cana-3110	70	16	approach	approach	NOUN
cana-3110	70	17	enhanced	enhance	VERB
cana-3110	70	18	x	x	NOUN
cana-3110	70	19	-	-	NOUN
cana-3110	70	20	ray	ray	NOUN
cana-3110	70	21	and	and	CCONJ
cana-3110	70	22	mri	mri	NOUN
cana-3110	70	23	images	image	NOUN
cana-3110	70	24	.	.	PUNCT
cana-3110	71	1	then	then	ADV
cana-3110	71	2	it	it	PRON
cana-3110	71	3	improved	improve	VERB
cana-3110	71	4	the	the	DET
cana-3110	71	5	contrast	contrast	NOUN
cana-3110	71	6	by	by	ADP
cana-3110	71	7	means	mean	NOUN
cana-3110	71	8	of	of	ADP
cana-3110	71	9	histogram	histogram	NOUN
cana-3110	71	10	equalisation	equalisation	NOUN
cana-3110	71	11	.	.	PUNCT
cana-3110	72	1	while	while	SCONJ
cana-3110	72	2	adding	add	VERB
cana-3110	72	3	more	more	ADJ
cana-3110	72	4	computer	computer	NOUN
cana-3110	72	5	effort	effort	NOUN
cana-3110	72	6	,	,	PUNCT
cana-3110	72	7	pre	pre	ADJ
cana-3110	72	8	-	-	ADJ
cana-3110	72	9	processing	processing	ADJ
cana-3110	72	10	tasks	task	NOUN
cana-3110	72	11	tailored	tailor	VERB
cana-3110	72	12	to	to	ADP
cana-3110	72	13	a	a	DET
cana-3110	72	14	mode	mode	NOUN
cana-3110	72	15	improved	improve	VERB
cana-3110	72	16	classification	classification	NOUN
cana-3110	72	17	outcomes	outcome	NOUN
cana-3110	72	18	.	.	PUNCT
cana-3110	73	1	cueva	cueva	PROPN
cana-3110	73	2	et	et	PROPN
cana-3110	73	3	al	al	PROPN
cana-3110	73	4	.	.	PROPN
cana-3110	73	5	(	(	PUNCT
cana-3110	73	6	2022	2022	NUM
cana-3110	73	7	)	)	PUNCT
cana-3110	73	8	used	use	VERB
cana-3110	73	9	laplacian	laplacian	ADJ
cana-3110	73	10	variance	variance	NOUN
cana-3110	73	11	-	-	PUNCT
cana-3110	73	12	based	base	VERB
cana-3110	73	13	thresholding	thresholding	NOUN
cana-3110	73	14	to	to	ADP
cana-3110	73	15	lower	low	ADJ
cana-3110	73	16	blur	blur	NOUN
cana-3110	73	17	effects	effect	NOUN
cana-3110	73	18	and	and	CCONJ
cana-3110	73	19	improve	improve	VERB
cana-3110	73	20	xray	xray	ADJ
cana-3110	73	21	image	image	NOUN
cana-3110	73	22	texture	texture	NOUN
cana-3110	73	23	quality	quality	NOUN
cana-3110	73	24	.	.	PUNCT
cana-3110	74	1	this	this	PRON
cana-3110	74	2	was	be	AUX
cana-3110	74	3	another	another	DET
cana-3110	74	4	artistic	artistic	ADJ
cana-3110	74	5	approach	approach	NOUN
cana-3110	74	6	.	.	PUNCT
cana-3110	75	1	the	the	DET
cana-3110	75	2	authors	author	NOUN
cana-3110	75	3	underlined	underline	VERB
cana-3110	75	4	the	the	DET
cana-3110	75	5	need	need	NOUN
cana-3110	75	6	of	of	ADP
cana-3110	75	7	consistency	consistency	NOUN
cana-3110	75	8	in	in	ADP
cana-3110	75	9	characteristics	characteristic	NOUN
cana-3110	75	10	,	,	PUNCT
cana-3110	75	11	particularly	particularly	ADV
cana-3110	75	12	in	in	ADP
cana-3110	75	13	grades	grade	NOUN
cana-3110	75	14	where	where	SCONJ
cana-3110	75	15	face	face	NOUN
cana-3110	75	16	features	feature	NOUN
cana-3110	75	17	interact	interact	VERB
cana-3110	75	18	.	.	PUNCT
cana-3110	76	1	using	use	VERB
cana-3110	76	2	generative	generative	ADJ
cana-3110	76	3	adversarial	adversarial	ADJ
cana-3110	76	4	networks	network	NOUN
cana-3110	76	5	(	(	PUNCT
cana-3110	76	6	gans	gan	NOUN
cana-3110	76	7	)	)	PUNCT
cana-3110	76	8	to	to	PART
cana-3110	76	9	add	add	VERB
cana-3110	76	10	to	to	ADP
cana-3110	76	11	data	datum	NOUN
cana-3110	76	12	shows	show	NOUN
cana-3110	76	13	promise	promise	NOUN
cana-3110	76	14	in	in	ADP
cana-3110	76	15	overcoming	overcome	VERB
cana-3110	76	16	the	the	DET
cana-3110	76	17	shortage	shortage	NOUN
cana-3110	76	18	of	of	ADP
cana-3110	76	19	data	datum	NOUN
cana-3110	76	20	and	and	CCONJ
cana-3110	76	21	making	make	VERB
cana-3110	76	22	models	model	NOUN
cana-3110	76	23	more	more	ADV
cana-3110	76	24	generic	generic	ADJ
cana-3110	76	25	,	,	PUNCT
cana-3110	76	26	as	as	SCONJ
cana-3110	76	27	demonstrated	demonstrate	VERB
cana-3110	76	28	by	by	ADP
cana-3110	76	29	prezja	prezja	PROPN
cana-3110	76	30	et	et	PROPN
cana-3110	76	31	al	al	PROPN
cana-3110	76	32	.	.	PROPN
cana-3110	77	1	(	(	PUNCT
cana-3110	77	2	2022	2022	NUM
cana-3110	77	3	)	)	PUNCT
cana-3110	77	4	.	.	PUNCT
cana-3110	78	1	many	many	ADJ
cana-3110	78	2	of	of	ADP
cana-3110	78	3	these	these	DET
cana-3110	78	4	approaches	approach	NOUN
cana-3110	78	5	,	,	PUNCT
cana-3110	78	6	nevertheless	nevertheless	ADV
cana-3110	78	7	,	,	PUNCT
cana-3110	78	8	have	have	VERB
cana-3110	78	9	issues	issue	NOUN
cana-3110	78	10	as	as	ADP
cana-3110	78	11	the	the	DET
cana-3110	78	12	x	x	NOUN
cana-3110	78	13	-	-	NOUN
cana-3110	78	14	ray	ray	NOUN
cana-3110	78	15	images	image	NOUN
cana-3110	78	16	have	have	VERB
cana-3110	78	17	artefacts	artefact	NOUN
cana-3110	78	18	,	,	PUNCT
cana-3110	78	19	the	the	DET
cana-3110	78	20	illumination	illumination	NOUN
cana-3110	78	21	is	be	AUX
cana-3110	78	22	n't	not	PART
cana-3110	78	23	even	even	ADV
cana-3110	78	24	,	,	PUNCT
cana-3110	78	25	and	and	CCONJ
cana-3110	78	26	the	the	DET
cana-3110	78	27	brightness	brightness	NOUN
cana-3110	78	28	is	be	AUX
cana-3110	78	29	poor	poor	ADJ
cana-3110	78	30	.	.	PUNCT
cana-3110	79	1	ahmed	ahmed	PROPN
cana-3110	79	2	and	and	CCONJ
cana-3110	79	3	mustafa	mustafa	PROPN
cana-3110	79	4	(	(	PUNCT
cana-3110	79	5	2022	2022	NUM
cana-3110	79	6	)	)	PUNCT
cana-3110	79	7	,	,	PUNCT
cana-3110	79	8	for	for	ADP
cana-3110	79	9	instance	instance	NOUN
cana-3110	79	10	,	,	PUNCT
cana-3110	79	11	noted	note	VERB
cana-3110	79	12	that	that	SCONJ
cana-3110	79	13	conventional	conventional	ADJ
cana-3110	79	14	pre	pre	ADJ
cana-3110	79	15	-	-	ADJ
cana-3110	79	16	processing	processing	ADJ
cana-3110	79	17	techniques	technique	NOUN
cana-3110	79	18	can	can	AUX
cana-3110	79	19	overlook	overlook	VERB
cana-3110	79	20	picture	picture	NOUN
cana-3110	79	21	circumstances	circumstance	NOUN
cana-3110	79	22	,	,	PUNCT
cana-3110	79	23	hence	hence	ADV
cana-3110	79	24	leading	lead	VERB
cana-3110	79	25	to	to	ADP
cana-3110	79	26	uneven	uneven	ADJ
cana-3110	79	27	roi	roi	NOUN
cana-3110	79	28	segmentation	segmentation	NOUN
cana-3110	79	29	.	.	PUNCT
cana-3110	80	1	their	their	PRON
cana-3110	80	2	communications	communication	NOUN
cana-3110	80	3	on	on	ADP
cana-3110	80	4	applied	apply	VERB
cana-3110	80	5	nonlinear	nonlinear	ADJ
cana-3110	80	6	analysis	analysis	NOUN
cana-3110	80	7	issn	issn	NOUN
cana-3110	80	8	:	:	PUNCT
cana-3110	80	9	1074	1074	NUM
cana-3110	80	10	-	-	PUNCT
cana-3110	80	11	133x	133x	NUM
cana-3110	80	12	vol	vol	NOUN
cana-3110	80	13	32	32	NUM
cana-3110	80	14	no	no	NOUN
cana-3110	80	15	.	.	PUNCT
cana-3110	81	1	5s	5s	NUM
cana-3110	81	2	(	(	PUNCT
cana-3110	81	3	2025	2025	NUM
cana-3110	81	4	)	)	PUNCT
cana-3110	81	5	404	404	NUM
cana-3110	81	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3110	82	1	studies	study	NOUN
cana-3110	82	2	demonstrated	demonstrate	VERB
cana-3110	82	3	the	the	DET
cana-3110	82	4	need	need	NOUN
cana-3110	82	5	of	of	ADP
cana-3110	82	6	flexible	flexible	ADJ
cana-3110	82	7	frames	frame	NOUN
cana-3110	82	8	able	able	ADJ
cana-3110	82	9	to	to	PART
cana-3110	82	10	accommodate	accommodate	VERB
cana-3110	82	11	various	various	ADJ
cana-3110	82	12	visual	visual	ADJ
cana-3110	82	13	characteristics	characteristic	NOUN
cana-3110	82	14	while	while	SCONJ
cana-3110	82	15	maintaining	maintain	VERB
cana-3110	82	16	diagnostic	diagnostic	ADJ
cana-3110	82	17	elements	element	NOUN
cana-3110	82	18	in	in	ADP
cana-3110	82	19	order	order	NOUN
cana-3110	82	20	to	to	PART
cana-3110	82	21	handle	handle	VERB
cana-3110	82	22	them	they	PRON
cana-3110	82	23	.	.	PUNCT
cana-3110	83	1	this	this	DET
cana-3110	83	2	work	work	NOUN
cana-3110	83	3	expands	expand	VERB
cana-3110	83	4	on	on	ADP
cana-3110	83	5	these	these	DET
cana-3110	83	6	concepts	concept	NOUN
cana-3110	83	7	by	by	ADP
cana-3110	83	8	offering	offer	VERB
cana-3110	83	9	a	a	DET
cana-3110	83	10	powerful	powerful	ADJ
cana-3110	83	11	pre	pre	ADJ
cana-3110	83	12	-	-	ADJ
cana-3110	83	13	processing	processing	ADJ
cana-3110	83	14	framework	framework	NOUN
cana-3110	83	15	that	that	PRON
cana-3110	83	16	solves	solve	VERB
cana-3110	83	17	issues	issue	NOUN
cana-3110	83	18	with	with	ADP
cana-3110	83	19	contemporary	contemporary	ADJ
cana-3110	83	20	techniques	technique	NOUN
cana-3110	83	21	.	.	PUNCT
cana-3110	84	1	the	the	DET
cana-3110	84	2	proposed	propose	VERB
cana-3110	84	3	system	system	NOUN
cana-3110	84	4	makes	make	VERB
cana-3110	84	5	the	the	DET
cana-3110	84	6	roi	roi	NOUN
cana-3110	84	7	more	more	ADV
cana-3110	84	8	precise	precise	ADJ
cana-3110	84	9	by	by	ADP
cana-3110	84	10	means	mean	NOUN
cana-3110	84	11	of	of	ADP
cana-3110	84	12	gaussian	gaussian	ADJ
cana-3110	84	13	blurring	blurring	NOUN
cana-3110	84	14	,	,	PUNCT
cana-3110	84	15	thresholding	thresholding	NOUN
cana-3110	84	16	,	,	PUNCT
cana-3110	84	17	and	and	CCONJ
cana-3110	84	18	sophisticated	sophisticated	ADJ
cana-3110	84	19	cutting	cutting	NOUN
cana-3110	84	20	algorithms	algorithm	NOUN
cana-3110	84	21	,	,	PUNCT
cana-3110	84	22	so	so	ADV
cana-3110	84	23	distinct	distinct	ADJ
cana-3110	84	24	from	from	ADP
cana-3110	84	25	prior	prior	ADJ
cana-3110	84	26	approaches	approach	NOUN
cana-3110	84	27	.	.	PUNCT
cana-3110	85	1	it	it	PRON
cana-3110	85	2	also	also	ADV
cana-3110	85	3	employs	employ	VERB
cana-3110	85	4	wavelet	wavelet	NOUN
cana-3110	85	5	-	-	PUNCT
cana-3110	85	6	based	base	VERB
cana-3110	85	7	segmentation	segmentation	NOUN
cana-3110	85	8	to	to	PART
cana-3110	85	9	enhance	enhance	VERB
cana-3110	85	10	feature	feature	NOUN
cana-3110	85	11	extraction	extraction	NOUN
cana-3110	85	12	,	,	PUNCT
cana-3110	85	13	therefore	therefore	ADV
cana-3110	85	14	guaranteeing	guarantee	VERB
cana-3110	85	15	correct	correct	ADJ
cana-3110	85	16	distinction	distinction	NOUN
cana-3110	85	17	of	of	ADP
cana-3110	85	18	kl	kl	PROPN
cana-3110	85	19	grades	grade	NOUN
cana-3110	85	20	.	.	PUNCT
cana-3110	86	1	when	when	SCONJ
cana-3110	86	2	there	there	PRON
cana-3110	86	3	is	be	VERB
cana-3110	86	4	noise	noise	NOUN
cana-3110	86	5	,	,	PUNCT
cana-3110	86	6	poor	poor	ADJ
cana-3110	86	7	contrast	contrast	NOUN
cana-3110	86	8	,	,	PUNCT
cana-3110	86	9	or	or	CCONJ
cana-3110	86	10	uncertainty	uncertainty	NOUN
cana-3110	86	11	on	on	ADP
cana-3110	86	12	how	how	SCONJ
cana-3110	86	13	to	to	PART
cana-3110	86	14	distinguish	distinguish	VERB
cana-3110	86	15	between	between	ADP
cana-3110	86	16	grades	grade	NOUN
cana-3110	86	17	that	that	PRON
cana-3110	86	18	seem	seem	VERB
cana-3110	86	19	the	the	DET
cana-3110	86	20	same	same	ADJ
cana-3110	86	21	,	,	PUNCT
cana-3110	86	22	this	this	DET
cana-3110	86	23	approach	approach	NOUN
cana-3110	86	24	performs	perform	VERB
cana-3110	86	25	extremely	extremely	ADV
cana-3110	86	26	well	well	ADV
cana-3110	86	27	.	.	PUNCT
cana-3110	87	1	all	all	DET
cana-3110	87	2	things	thing	NOUN
cana-3110	87	3	considered	consider	VERB
cana-3110	87	4	,	,	PUNCT
cana-3110	87	5	pre	pre	ADJ
cana-3110	87	6	-	-	ADJ
cana-3110	87	7	processing	processing	ADJ
cana-3110	87	8	knee	knee	NOUN
cana-3110	87	9	x	x	NOUN
cana-3110	87	10	-	-	NOUN
cana-3110	87	11	ray	ray	NOUN
cana-3110	87	12	images	image	NOUN
cana-3110	87	13	has	have	AUX
cana-3110	87	14	come	come	VERB
cana-3110	87	15	a	a	DET
cana-3110	87	16	long	long	ADJ
cana-3110	87	17	way	way	NOUN
cana-3110	87	18	;	;	PUNCT
cana-3110	87	19	nonetheless	nonetheless	ADV
cana-3110	87	20	,	,	PUNCT
cana-3110	87	21	issues	issue	NOUN
cana-3110	87	22	with	with	ADP
cana-3110	87	23	generalisation	generalisation	NOUN
cana-3110	87	24	,	,	PUNCT
cana-3110	87	25	noise	noise	NOUN
cana-3110	87	26	reduction	reduction	NOUN
cana-3110	87	27	,	,	PUNCT
cana-3110	87	28	and	and	CCONJ
cana-3110	87	29	roi	roi	NOUN
cana-3110	87	30	segmentation	segmentation	NOUN
cana-3110	87	31	remain	remain	VERB
cana-3110	87	32	present	present	ADJ
cana-3110	87	33	.	.	PUNCT
cana-3110	88	1	by	by	ADP
cana-3110	88	2	offering	offer	VERB
cana-3110	88	3	a	a	DET
cana-3110	88	4	whole	whole	ADJ
cana-3110	88	5	response	response	NOUN
cana-3110	88	6	that	that	PRON
cana-3110	88	7	enhances	enhance	VERB
cana-3110	88	8	image	image	NOUN
cana-3110	88	9	quality	quality	NOUN
cana-3110	88	10	and	and	CCONJ
cana-3110	88	11	gets	get	VERB
cana-3110	88	12	data	datum	NOUN
cana-3110	88	13	ready	ready	ADJ
cana-3110	88	14	for	for	ADP
cana-3110	88	15	accurate	accurate	ADJ
cana-3110	88	16	categorisation	categorisation	NOUN
cana-3110	88	17	,	,	PUNCT
cana-3110	88	18	the	the	DET
cana-3110	88	19	proposed	propose	VERB
cana-3110	88	20	framework	framework	NOUN
cana-3110	88	21	seeks	seek	VERB
cana-3110	88	22	to	to	PART
cana-3110	88	23	close	close	VERB
cana-3110	88	24	up	up	ADP
cana-3110	88	25	these	these	DET
cana-3110	88	26	gaps	gap	NOUN
cana-3110	88	27	.	.	PUNCT
cana-3110	89	1	using	use	VERB
cana-3110	89	2	what	what	PRON
cana-3110	89	3	's	be	AUX
cana-3110	89	4	previously	previously	ADV
cana-3110	89	5	been	be	AUX
cana-3110	89	6	written	write	VERB
cana-3110	89	7	and	and	CCONJ
cana-3110	89	8	resolving	resolve	VERB
cana-3110	89	9	some	some	PRON
cana-3110	89	10	of	of	ADP
cana-3110	89	11	its	its	PRON
cana-3110	89	12	issues	issue	NOUN
cana-3110	89	13	,	,	PUNCT
cana-3110	89	14	the	the	DET
cana-3110	89	15	research	research	NOUN
cana-3110	89	16	contributes	contribute	VERB
cana-3110	89	17	to	to	ADP
cana-3110	89	18	the	the	DET
cana-3110	89	19	expanding	expand	VERB
cana-3110	89	20	area	area	NOUN
cana-3110	89	21	of	of	ADP
cana-3110	89	22	automated	automate	VERB
cana-3110	89	23	medical	medical	ADJ
cana-3110	89	24	image	image	NOUN
cana-3110	89	25	interpretation	interpretation	NOUN
cana-3110	89	26	.	.	PUNCT
cana-3110	90	1	consequently	consequently	ADV
cana-3110	90	2	,	,	PUNCT
cana-3110	90	3	knee	knee	NOUN
cana-3110	90	4	osteoarthritis	osteoarthritis	NOUN
cana-3110	90	5	diagnosis	diagnosis	NOUN
cana-3110	90	6	will	will	AUX
cana-3110	90	7	be	be	AUX
cana-3110	90	8	more	more	ADV
cana-3110	90	9	accurate	accurate	ADJ
cana-3110	90	10	.	.	PUNCT
cana-3110	91	1	table	table	NOUN
cana-3110	91	2	1	1	NUM
cana-3110	91	3	.	.	PUNCT
cana-3110	92	1	summary	summary	NOUN
cana-3110	92	2	of	of	ADP
cana-3110	92	3	literature	literature	NOUN
cana-3110	92	4	study	study	NOUN
cana-3110	92	5	dataset	dataset	NOUN
cana-3110	92	6	technique	technique	NOUN
cana-3110	92	7	challenges	challenge	NOUN
cana-3110	92	8	outcome	outcome	NOUN
cana-3110	92	9	reference	reference	NOUN
cana-3110	92	10	mohammed	mohammed	PROPN
cana-3110	92	11	et	et	PROPN
cana-3110	92	12	al	al	PROPN
cana-3110	92	13	.	.	PROPN
cana-3110	92	14	oai	oai	PROPN
cana-3110	92	15	,	,	PUNCT
cana-3110	92	16	rcu	rcu	PROPN
cana-3110	92	17	histogram	histogram	PROPN
cana-3110	92	18	equalization	equalization	NOUN
cana-3110	92	19	overenhancement	overenhancement	NOUN
cana-3110	92	20	improved	improve	VERB
cana-3110	92	21	contrast	contrast	NOUN
cana-3110	92	22	[	[	X
cana-3110	92	23	10	10	NUM
cana-3110	92	24	]	]	X
cana-3110	92	25	khalid	khalid	PROPN
cana-3110	92	26	et	et	PROPN
cana-3110	92	27	al	al	PROPN
cana-3110	92	28	.	.	PROPN
cana-3110	92	29	oai	oai	PROPN
cana-3110	92	30	,	,	PUNCT
cana-3110	92	31	rcu	rcu	PROPN
cana-3110	92	32	clahe	clahe	PROPN
cana-3110	92	33	,	,	PUNCT
cana-3110	92	34	averaging	average	VERB
cana-3110	92	35	noise	noise	NOUN
cana-3110	92	36	enhanced	enhance	VERB
cana-3110	92	37	visibility	visibility	NOUN
cana-3110	92	38	[	[	X
cana-3110	92	39	11	11	NUM
cana-3110	92	40	]	]	X
cana-3110	92	41	zhong	zhong	PROPN
cana-3110	92	42	et	et	PROPN
cana-3110	92	43	al	al	PROPN
cana-3110	92	44	.	.	PUNCT
cana-3110	92	45	custom	custom	PROPN
cana-3110	92	46	cropping	cropping	NOUN
cana-3110	92	47	,	,	PUNCT
cana-3110	92	48	augmentation	augmentation	NOUN
cana-3110	92	49	generalization	generalization	NOUN
cana-3110	92	50	roi	roi	NOUN
cana-3110	92	51	improvement	improvement	NOUN
cana-3110	92	52	[	[	X
cana-3110	92	53	13	13	NUM
cana-3110	92	54	]	]	X
cana-3110	92	55	karim	karim	PROPN
cana-3110	92	56	et	et	PROPN
cana-3110	92	57	al	al	PROPN
cana-3110	92	58	.	.	PUNCT
cana-3110	93	1	oai	oai	PROPN
cana-3110	93	2	flipping	flipping	NOUN
cana-3110	93	3	,	,	PUNCT
cana-3110	93	4	histogram	histogram	NOUN
cana-3110	93	5	computation	computation	NOUN
cana-3110	93	6	high	high	ADJ
cana-3110	93	7	accuracy	accuracy	NOUN
cana-3110	94	1	[	[	X
cana-3110	94	2	15	15	NUM
cana-3110	94	3	]	]	X
cana-3110	94	4	cueva	cueva	PROPN
cana-3110	94	5	et	et	PROPN
cana-3110	94	6	al	al	PROPN
cana-3110	94	7	.	.	PUNCT
cana-3110	95	1	oai	oai	PROPN
cana-3110	95	2	laplacian	laplacian	ADJ
cana-3110	95	3	variance	variance	NOUN
cana-3110	95	4	blur	blur	NOUN
cana-3110	95	5	texture	texture	ADJ
cana-3110	95	6	improvement	improvement	NOUN
cana-3110	95	7	[	[	X
cana-3110	95	8	16	16	NUM
cana-3110	95	9	]	]	PUNCT
cana-3110	95	10	prezja	prezja	VERB
cana-3110	95	11	et	et	PROPN
cana-3110	95	12	al	al	PROPN
cana-3110	95	13	.	.	PUNCT
cana-3110	96	1	oai	oai	PROPN
cana-3110	96	2	gan	gan	PROPN
cana-3110	96	3	augmentation	augmentation	NOUN
cana-3110	96	4	noise	noise	NOUN
cana-3110	96	5	data	datum	NOUN
cana-3110	96	6	expansion	expansion	NOUN
cana-3110	97	1	[	[	X
cana-3110	97	2	17	17	NUM
cana-3110	97	3	]	]	X
cana-3110	97	4	ahmed	ahmed	PROPN
cana-3110	97	5	&	&	CCONJ
cana-3110	97	6	mustafa	mustafa	PROPN
cana-3110	97	7	oai	oai	PROPN
cana-3110	97	8	adaptive	adaptive	ADJ
cana-3110	97	9	framework	framework	NOUN
cana-3110	97	10	variability	variability	NOUN
cana-3110	97	11	consistent	consistent	ADJ
cana-3110	97	12	roi	roi	NOUN
cana-3110	97	13	[	[	X
cana-3110	97	14	12	12	NUM
cana-3110	97	15	]	]	SYM
cana-3110	97	16	3	3	NUM
cana-3110	97	17	.	.	PUNCT
cana-3110	97	18	proposed	propose	VERB
cana-3110	97	19	framework	framework	NOUN
cana-3110	97	20	the	the	DET
cana-3110	97	21	proposed	propose	VERB
cana-3110	97	22	framework	framework	NOUN
cana-3110	97	23	for	for	ADP
cana-3110	97	24	pre	pre	ADJ
cana-3110	97	25	-	-	ADJ
cana-3110	97	26	processing	processing	ADJ
cana-3110	97	27	knee	knee	NOUN
cana-3110	97	28	x	x	NOUN
cana-3110	97	29	-	-	NOUN
cana-3110	97	30	ray	ray	NOUN
cana-3110	97	31	images	image	NOUN
cana-3110	97	32	focuses	focus	VERB
cana-3110	97	33	on	on	ADP
cana-3110	97	34	segmenting	segment	VERB
cana-3110	97	35	the	the	DET
cana-3110	97	36	region	region	NOUN
cana-3110	97	37	of	of	ADP
cana-3110	97	38	interest	interest	NOUN
cana-3110	97	39	(	(	PUNCT
cana-3110	97	40	roi	roi	NOUN
cana-3110	97	41	)	)	PUNCT
cana-3110	97	42	for	for	ADP
cana-3110	97	43	enhanced	enhanced	ADJ
cana-3110	97	44	classification	classification	NOUN
cana-3110	97	45	accuracy	accuracy	NOUN
cana-3110	97	46	in	in	ADP
cana-3110	97	47	diagnosing	diagnose	VERB
cana-3110	97	48	knee	knee	NOUN
cana-3110	97	49	osteoarthritis	osteoarthritis	NOUN
cana-3110	97	50	(	(	PUNCT
cana-3110	97	51	oa	oa	INTJ
cana-3110	97	52	)	)	PUNCT
cana-3110	97	53	using	use	VERB
cana-3110	97	54	the	the	DET
cana-3110	97	55	kellgren	kellgren	NOUN
cana-3110	97	56	and	and	CCONJ
cana-3110	97	57	lawrence	lawrence	NOUN
cana-3110	97	58	grading	grade	VERB
cana-3110	97	59	system	system	NOUN
cana-3110	97	60	.	.	PUNCT
cana-3110	98	1	this	this	DET
cana-3110	98	2	framework	framework	NOUN
cana-3110	98	3	addresses	address	VERB
cana-3110	98	4	key	key	ADJ
cana-3110	98	5	challenges	challenge	NOUN
cana-3110	98	6	such	such	ADJ
cana-3110	98	7	as	as	ADP
cana-3110	98	8	noise	noise	NOUN
cana-3110	98	9	,	,	PUNCT
cana-3110	98	10	poor	poor	ADJ
cana-3110	98	11	contrast	contrast	NOUN
cana-3110	98	12	,	,	PUNCT
cana-3110	98	13	and	and	CCONJ
cana-3110	98	14	uneven	uneven	ADJ
cana-3110	98	15	illumination	illumination	NOUN
cana-3110	98	16	,	,	PUNCT
cana-3110	98	17	ensuring	ensure	VERB
cana-3110	98	18	effective	effective	ADJ
cana-3110	98	19	extraction	extraction	NOUN
cana-3110	98	20	of	of	ADP
cana-3110	98	21	relevant	relevant	ADJ
cana-3110	98	22	features	feature	NOUN
cana-3110	98	23	.	.	PUNCT
cana-3110	99	1	the	the	DET
cana-3110	99	2	framework	framework	NOUN
cana-3110	99	3	consists	consist	VERB
cana-3110	99	4	of	of	ADP
cana-3110	99	5	three	three	NUM
cana-3110	99	6	primary	primary	ADJ
cana-3110	99	7	stages	stage	NOUN
cana-3110	99	8	:	:	PUNCT
cana-3110	99	9	1	1	X
cana-3110	99	10	.	.	X
cana-3110	99	11	input	input	NOUN
cana-3110	99	12	pre	pre	ADJ
cana-3110	99	13	-	-	ADJ
cana-3110	99	14	processing	processing	ADJ
cana-3110	99	15	:	:	PUNCT
cana-3110	99	16	•	•	NUM
cana-3110	99	17	objective	objective	NOUN
cana-3110	99	18	:	:	PUNCT
cana-3110	99	19	remove	remove	VERB
cana-3110	99	20	noise	noise	NOUN
cana-3110	99	21	and	and	CCONJ
cana-3110	99	22	improve	improve	VERB
cana-3110	99	23	image	image	NOUN
cana-3110	99	24	clarity	clarity	NOUN
cana-3110	99	25	.	.	PUNCT
cana-3110	100	1	communications	communication	NOUN
cana-3110	100	2	on	on	ADP
cana-3110	100	3	applied	apply	VERB
cana-3110	100	4	nonlinear	nonlinear	ADJ
cana-3110	100	5	analysis	analysis	NOUN
cana-3110	100	6	issn	issn	NOUN
cana-3110	100	7	:	:	PUNCT
cana-3110	100	8	1074	1074	NUM
cana-3110	100	9	-	-	PUNCT
cana-3110	100	10	133x	133x	NUM
cana-3110	100	11	vol	vol	NOUN
cana-3110	100	12	32	32	NUM
cana-3110	100	13	no	no	NOUN
cana-3110	100	14	.	.	PUNCT
cana-3110	101	1	5s	5s	NUM
cana-3110	101	2	(	(	PUNCT
cana-3110	101	3	2025	2025	NUM
cana-3110	101	4	)	)	PUNCT
cana-3110	101	5	405	405	NUM
cana-3110	101	6	https://internationalpubls.com	https://internationalpubls.com	SYM
cana-3110	101	7	•	•	NUM
cana-3110	101	8	steps	step	NOUN
cana-3110	101	9	:	:	PUNCT
cana-3110	101	10	o	o	NOUN
cana-3110	101	11	gaussian	gaussian	ADJ
cana-3110	101	12	blurring	blurring	NOUN
cana-3110	101	13	:	:	PUNCT
cana-3110	101	14	▪	▪	X
cana-3110	101	15	apply	apply	VERB
cana-3110	101	16	a	a	DET
cana-3110	101	17	gaussian	gaussian	ADJ
cana-3110	101	18	kernel	kernel	NOUN
cana-3110	101	19	(	(	PUNCT
cana-3110	101	20	3x3	3x3	NUM
cana-3110	101	21	)	)	PUNCT
cana-3110	101	22	to	to	PART
cana-3110	101	23	smooth	smooth	VERB
cana-3110	101	24	the	the	DET
cana-3110	101	25	image	image	NOUN
cana-3110	101	26	and	and	CCONJ
cana-3110	101	27	reduce	reduce	VERB
cana-3110	101	28	noise	noise	NOUN
cana-3110	101	29	artifacts	artifact	NOUN
cana-3110	101	30	.	.	PUNCT
cana-3110	102	1	▪	▪	ADJ
cana-3110	102	2	parameters	parameter	NOUN
cana-3110	102	3	:	:	PUNCT
cana-3110	102	4	σx=0,σy=0\sigma_x	σx=0,σy=0\sigma_x	VERB
cana-3110	102	5	=	=	SYM
cana-3110	102	6	0	0	NUM
cana-3110	102	7	,	,	PUNCT
cana-3110	102	8	\sigma_y	\sigma_y	VERB
cana-3110	102	9	=	=	PUNCT
cana-3110	102	10	0σx=0,σy=0	0σx=0,σy=0	NOUN
cana-3110	102	11	.	.	PUNCT
cana-3110	103	1	o	o	X
cana-3110	103	2	thresholding	thresholding	NOUN
cana-3110	103	3	:	:	PUNCT
cana-3110	103	4	▪	▪	ADJ
cana-3110	103	5	threshold	threshold	NOUN
cana-3110	103	6	the	the	DET
cana-3110	103	7	blurred	blurred	ADJ
cana-3110	103	8	image	image	NOUN
cana-3110	103	9	using	use	VERB
cana-3110	103	10	a	a	DET
cana-3110	103	11	fixed	fix	VERB
cana-3110	103	12	value	value	NOUN
cana-3110	103	13	(	(	PUNCT
cana-3110	103	14	threshold=80\text{threshold	threshold=80\text{threshold	ADJ
cana-3110	103	15	}	}	PUNCT
cana-3110	103	16	=	=	SYM
cana-3110	103	17	80threshold=80	80threshold=80	NUM
cana-3110	103	18	)	)	PUNCT
cana-3110	103	19	.	.	PUNCT
cana-3110	104	1	▪	▪	ADJ
cana-3110	104	2	output	output	NOUN
cana-3110	104	3	:	:	PUNCT
cana-3110	104	4	a	a	DET
cana-3110	104	5	binary	binary	ADJ
cana-3110	104	6	image	image	NOUN
cana-3110	104	7	with	with	ADP
cana-3110	104	8	distinct	distinct	ADJ
cana-3110	104	9	foreground	foreground	NOUN
cana-3110	104	10	(	(	PUNCT
cana-3110	104	11	hard	hard	ADJ
cana-3110	104	12	tissues	tissue	NOUN
cana-3110	104	13	)	)	PUNCT
cana-3110	104	14	and	and	CCONJ
cana-3110	104	15	background	background	NOUN
cana-3110	104	16	regions	region	NOUN
cana-3110	104	17	.	.	PUNCT
cana-3110	105	1	2	2	X
cana-3110	105	2	.	.	X
cana-3110	105	3	roi	roi	NOUN
cana-3110	105	4	extraction	extraction	NOUN
cana-3110	105	5	:	:	PUNCT
cana-3110	105	6	•	•	NOUN
cana-3110	105	7	objective	objective	NOUN
cana-3110	105	8	:	:	PUNCT
cana-3110	105	9	focus	focus	VERB
cana-3110	105	10	on	on	ADP
cana-3110	105	11	the	the	DET
cana-3110	105	12	knee	knee	NOUN
cana-3110	105	13	joint	joint	NOUN
cana-3110	105	14	by	by	ADP
cana-3110	105	15	eliminating	eliminate	VERB
cana-3110	105	16	irrelevant	irrelevant	ADJ
cana-3110	105	17	regions	region	NOUN
cana-3110	105	18	.	.	PUNCT
cana-3110	106	1	•	•	NUM
cana-3110	106	2	steps	step	NOUN
cana-3110	106	3	:	:	PUNCT
cana-3110	106	4	o	o	NOUN
cana-3110	106	5	vertical	vertical	ADJ
cana-3110	106	6	cropping	cropping	NOUN
cana-3110	106	7	:	:	PUNCT
cana-3110	106	8	▪	▪	X
cana-3110	106	9	remove	remove	VERB
cana-3110	106	10	50	50	NUM
cana-3110	106	11	rows	row	NOUN
cana-3110	106	12	from	from	ADP
cana-3110	106	13	the	the	DET
cana-3110	106	14	top	top	NOUN
cana-3110	106	15	and	and	CCONJ
cana-3110	106	16	bottom	bottom	NOUN
cana-3110	106	17	of	of	ADP
cana-3110	106	18	the	the	DET
cana-3110	106	19	image	image	NOUN
cana-3110	106	20	to	to	PART
cana-3110	106	21	eliminate	eliminate	VERB
cana-3110	106	22	nonrelevant	nonrelevant	ADJ
cana-3110	106	23	upper	upper	ADJ
cana-3110	106	24	and	and	CCONJ
cana-3110	106	25	lower	low	ADJ
cana-3110	106	26	regions	region	NOUN
cana-3110	106	27	.	.	PUNCT
cana-3110	107	1	o	o	X
cana-3110	107	2	horizontal	horizontal	ADJ
cana-3110	107	3	cropping	cropping	NOUN
cana-3110	107	4	:	:	PUNCT
cana-3110	107	5	▪	▪	NOUN
cana-3110	107	6	identify	identify	VERB
cana-3110	107	7	the	the	DET
cana-3110	107	8	first	first	ADJ
cana-3110	107	9	and	and	CCONJ
cana-3110	107	10	last	last	ADJ
cana-3110	107	11	non	non	ADJ
cana-3110	107	12	-	-	ADJ
cana-3110	107	13	zero	zero	ADJ
cana-3110	107	14	pixel	pixel	ADJ
cana-3110	107	15	columns	column	NOUN
cana-3110	107	16	for	for	ADP
cana-3110	107	17	each	each	DET
cana-3110	107	18	row	row	NOUN
cana-3110	107	19	.	.	PUNCT
cana-3110	108	1	▪	▪	ADJ
cana-3110	108	2	crop	crop	NOUN
cana-3110	108	3	the	the	DET
cana-3110	108	4	image	image	NOUN
cana-3110	108	5	horizontally	horizontally	ADV
cana-3110	108	6	to	to	PART
cana-3110	108	7	retain	retain	VERB
cana-3110	108	8	only	only	ADV
cana-3110	108	9	the	the	DET
cana-3110	108	10	most	most	ADV
cana-3110	108	11	relevant	relevant	ADJ
cana-3110	108	12	knee	knee	NOUN
cana-3110	108	13	region	region	NOUN
cana-3110	108	14	.	.	PUNCT
cana-3110	109	1	o	o	NOUN
cana-3110	109	2	resizing	resizing	NOUN
cana-3110	109	3	:	:	PUNCT
cana-3110	109	4	▪	▪	X
cana-3110	109	5	standardize	standardize	VERB
cana-3110	109	6	the	the	DET
cana-3110	109	7	image	image	NOUN
cana-3110	109	8	dimensions	dimension	NOUN
cana-3110	109	9	to	to	ADP
cana-3110	109	10	128×128128	128×128128	NUM
cana-3110	109	11	\times	\time	NOUN
cana-3110	109	12	128128×128	128128×128	NUM
cana-3110	109	13	pixels	pixel	NOUN
cana-3110	109	14	for	for	ADP
cana-3110	109	15	uniformity	uniformity	NOUN
cana-3110	109	16	.	.	PUNCT
cana-3110	110	1	3	3	X
cana-3110	110	2	.	.	NUM
cana-3110	110	3	enhanced	enhance	VERB
cana-3110	110	4	roi	roi	NOUN
cana-3110	110	5	refinement	refinement	NOUN
cana-3110	110	6	:	:	PUNCT
cana-3110	110	7	•	•	NOUN
cana-3110	110	8	objective	objective	NOUN
cana-3110	110	9	:	:	PUNCT
cana-3110	110	10	extract	extract	VERB
cana-3110	110	11	the	the	DET
cana-3110	110	12	precise	precise	ADJ
cana-3110	110	13	gap	gap	NOUN
cana-3110	110	14	between	between	ADP
cana-3110	110	15	knee	knee	NOUN
cana-3110	110	16	joints	joint	NOUN
cana-3110	110	17	for	for	ADP
cana-3110	110	18	accurate	accurate	ADJ
cana-3110	110	19	grading	grading	NOUN
cana-3110	110	20	.	.	PUNCT
cana-3110	111	1	•	•	NUM
cana-3110	111	2	steps	step	NOUN
cana-3110	111	3	:	:	PUNCT
cana-3110	111	4	o	o	NOUN
cana-3110	111	5	feature	feature	NOUN
cana-3110	111	6	detection	detection	NOUN
cana-3110	111	7	:	:	PUNCT
cana-3110	111	8	▪	▪	NOUN
cana-3110	111	9	locate	locate	VERB
cana-3110	111	10	the	the	DET
cana-3110	111	11	following	follow	VERB
cana-3110	111	12	key	key	ADJ
cana-3110	111	13	points	point	NOUN
cana-3110	111	14	:	:	PUNCT
cana-3110	111	15	▪	▪	X
cana-3110	111	16	strong	strong	ADJ
cana-3110	111	17	valley	valley	NOUN
cana-3110	111	18	(	(	PUNCT
cana-3110	111	19	sv	sv	INTJ
cana-3110	111	20	):	):	PUNCT
cana-3110	111	21	region	region	NOUN
cana-3110	111	22	with	with	ADP
cana-3110	111	23	the	the	DET
cana-3110	111	24	lowest	low	ADJ
cana-3110	111	25	mean	mean	ADJ
cana-3110	111	26	intensity	intensity	NOUN
cana-3110	111	27	,	,	PUNCT
cana-3110	111	28	indicating	indicate	VERB
cana-3110	111	29	the	the	DET
cana-3110	111	30	gap	gap	NOUN
cana-3110	111	31	.	.	PUNCT
cana-3110	112	1	▪	▪	ADJ
cana-3110	112	2	local	local	ADJ
cana-3110	112	3	maxima	maxima	NOUN
cana-3110	112	4	(	(	PUNCT
cana-3110	112	5	lm	lm	INTJ
cana-3110	112	6	):	):	PUNCT
cana-3110	112	7	first	first	ADJ
cana-3110	112	8	peak	peak	NOUN
cana-3110	112	9	after	after	ADP
cana-3110	112	10	the	the	DET
cana-3110	112	11	strong	strong	ADJ
cana-3110	112	12	valley	valley	NOUN
cana-3110	112	13	.	.	PUNCT
cana-3110	113	1	▪	▪	ADJ
cana-3110	113	2	global	global	ADJ
cana-3110	113	3	peak	peak	NOUN
cana-3110	113	4	(	(	PUNCT
cana-3110	113	5	gp	gp	NOUN
cana-3110	113	6	):	):	PUNCT
cana-3110	113	7	highest	high	ADJ
cana-3110	113	8	intensity	intensity	NOUN
cana-3110	113	9	point	point	NOUN
cana-3110	113	10	after	after	ADP
cana-3110	113	11	the	the	DET
cana-3110	113	12	strong	strong	ADJ
cana-3110	113	13	valley	valley	NOUN
cana-3110	113	14	.	.	PUNCT
cana-3110	114	1	o	o	NOUN
cana-3110	114	2	wavelet	wavelet	NOUN
cana-3110	114	3	analysis	analysis	NOUN
cana-3110	114	4	:	:	PUNCT
cana-3110	114	5	▪	▪	X
cana-3110	114	6	decompose	decompose	VERB
cana-3110	114	7	the	the	DET
cana-3110	114	8	image	image	NOUN
cana-3110	114	9	using	use	VERB
cana-3110	114	10	'	'	PUNCT
cana-3110	114	11	db6	db6	NOUN
cana-3110	114	12	'	'	PUNCT
cana-3110	114	13	wavelets	wavelet	NOUN
cana-3110	114	14	up	up	ADP
cana-3110	114	15	to	to	PART
cana-3110	114	16	level	level	VERB
cana-3110	114	17	3	3	NUM
cana-3110	114	18	to	to	PART
cana-3110	114	19	refine	refine	VERB
cana-3110	114	20	features	feature	NOUN
cana-3110	114	21	.	.	PUNCT
cana-3110	115	1	communications	communication	NOUN
cana-3110	115	2	on	on	ADP
cana-3110	115	3	applied	apply	VERB
cana-3110	115	4	nonlinear	nonlinear	ADJ
cana-3110	115	5	analysis	analysis	NOUN
cana-3110	115	6	issn	issn	NOUN
cana-3110	115	7	:	:	PUNCT
cana-3110	115	8	1074	1074	NUM
cana-3110	115	9	-	-	PUNCT
cana-3110	115	10	133x	133x	NUM
cana-3110	115	11	vol	vol	NOUN
cana-3110	115	12	32	32	NUM
cana-3110	115	13	no	no	NOUN
cana-3110	115	14	.	.	PUNCT
cana-3110	116	1	5s	5s	NUM
cana-3110	116	2	(	(	PUNCT
cana-3110	116	3	2025	2025	NUM
cana-3110	116	4	)	)	PUNCT
cana-3110	116	5	406	406	NUM
cana-3110	116	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3110	116	7	▪	▪	X
cana-3110	116	8	use	use	VERB
cana-3110	116	9	wavelet	wavelet	NOUN
cana-3110	116	10	coefficients	coefficient	NOUN
cana-3110	116	11	to	to	PART
cana-3110	116	12	adjust	adjust	VERB
cana-3110	116	13	cropping	cropping	NOUN
cana-3110	116	14	points	point	NOUN
cana-3110	116	15	.	.	PUNCT
cana-3110	117	1	o	o	X
cana-3110	117	2	final	final	ADJ
cana-3110	117	3	cropping	cropping	NOUN
cana-3110	117	4	:	:	PUNCT
cana-3110	117	5	▪	▪	ADJ
cana-3110	117	6	crop	crop	NOUN
cana-3110	117	7	based	base	VERB
cana-3110	117	8	on	on	ADP
cana-3110	117	9	the	the	DET
cana-3110	117	10	detected	detect	VERB
cana-3110	117	11	points	point	NOUN
cana-3110	117	12	using	use	VERB
cana-3110	117	13	:	:	PUNCT
cana-3110	117	14	▪	▪	ADJ
cana-3110	117	15	case	case	NOUN
cana-3110	117	16	1	1	NUM
cana-3110	117	17	:	:	PUNCT
cana-3110	117	18	start	start	VERB
cana-3110	117	19	row	row	NOUN
cana-3110	117	20	=	=	SYM
cana-3110	117	21	sv−15\text{start	sv−15\text{start	NOUN
cana-3110	117	22	row	row	NOUN
cana-3110	117	23	}	}	PUNCT
cana-3110	117	24	=	=	SYM
cana-3110	117	25	sv	sv	PROPN
cana-3110	117	26	15start	15start	NUM
cana-3110	117	27	row	row	NOUN
cana-3110	117	28	=	=	SYM
cana-3110	117	29	sv−15	sv−15	PROPN
cana-3110	117	30	,	,	PUNCT
cana-3110	117	31	end	end	VERB
cana-3110	117	32	row	row	NOUN
cana-3110	117	33	=	=	NOUN
cana-3110	117	34	gp+5\text{end	gp+5\text{end	NOUN
cana-3110	117	35	row	row	NOUN
cana-3110	117	36	}	}	PUNCT
cana-3110	117	37	=	=	PUNCT
cana-3110	117	38	gp	gp	NOUN
cana-3110	117	39	+	+	CCONJ
cana-3110	117	40	5end	5end	VERB
cana-3110	117	41	row	row	NOUN
cana-3110	117	42	=	=	NOUN
cana-3110	117	43	gp+5	gp+5	NOUN
cana-3110	117	44	.	.	PUNCT
cana-3110	118	1	▪	▪	ADJ
cana-3110	118	2	case	case	NOUN
cana-3110	118	3	2	2	NUM
cana-3110	118	4	:	:	PUNCT
cana-3110	118	5	start	start	VERB
cana-3110	118	6	row=40\text{start	row=40\text{start	NOUN
cana-3110	118	7	row	row	NOUN
cana-3110	118	8	}	}	PUNCT
cana-3110	118	9	=	=	SYM
cana-3110	119	1	40start	40start	NUM
cana-3110	119	2	row=40	row=40	NOUN
cana-3110	119	3	,	,	PUNCT
cana-3110	119	4	end	end	NOUN
cana-3110	119	5	row=110\text{end	row=110\text{end	NOUN
cana-3110	119	6	row	row	NOUN
cana-3110	119	7	}	}	PUNCT
cana-3110	119	8	=	=	PUNCT
cana-3110	119	9	110end	110end	NUM
cana-3110	119	10	row=110	row=110	PROPN
cana-3110	119	11	(	(	PUNCT
cana-3110	119	12	for	for	ADP
cana-3110	119	13	poor	poor	ADJ
cana-3110	119	14	contrast	contrast	NOUN
cana-3110	119	15	images	image	NOUN
cana-3110	119	16	)	)	PUNCT
cana-3110	119	17	.	.	PUNCT
cana-3110	120	1	4	4	X
cana-3110	120	2	.	.	X
cana-3110	120	3	binarization	binarization	NOUN
cana-3110	120	4	and	and	CCONJ
cana-3110	120	5	segmentation	segmentation	NOUN
cana-3110	120	6	:	:	PUNCT
cana-3110	120	7	•	•	NOUN
cana-3110	120	8	objective	objective	NOUN
cana-3110	120	9	:	:	PUNCT
cana-3110	120	10	highlight	highlight	VERB
cana-3110	120	11	the	the	DET
cana-3110	120	12	gap	gap	NOUN
cana-3110	120	13	between	between	ADP
cana-3110	120	14	knee	knee	NOUN
cana-3110	120	15	joints	joint	NOUN
cana-3110	120	16	and	and	CCONJ
cana-3110	120	17	refine	refine	VERB
cana-3110	120	18	the	the	DET
cana-3110	120	19	roi	roi	NOUN
cana-3110	120	20	.	.	PUNCT
cana-3110	121	1	•	•	NUM
cana-3110	121	2	steps	step	NOUN
cana-3110	121	3	:	:	PUNCT
cana-3110	121	4	o	o	NOUN
cana-3110	121	5	apply	apply	VERB
cana-3110	121	6	a	a	DET
cana-3110	121	7	median	median	ADJ
cana-3110	121	8	filter	filter	NOUN
cana-3110	121	9	to	to	PART
cana-3110	121	10	smooth	smooth	VERB
cana-3110	121	11	the	the	DET
cana-3110	121	12	roi	roi	NOUN
cana-3110	121	13	.	.	PUNCT
cana-3110	122	1	o	o	NOUN
cana-3110	122	2	use	use	VERB
cana-3110	122	3	adaptive	adaptive	ADJ
cana-3110	122	4	thresholding	thresholding	NOUN
cana-3110	122	5	based	base	VERB
cana-3110	122	6	on	on	ADP
cana-3110	122	7	the	the	DET
cana-3110	122	8	mean	mean	ADJ
cana-3110	122	9	intensity	intensity	NOUN
cana-3110	122	10	to	to	PART
cana-3110	122	11	create	create	VERB
cana-3110	122	12	a	a	DET
cana-3110	122	13	binary	binary	ADJ
cana-3110	122	14	mask	mask	NOUN
cana-3110	122	15	.	.	PUNCT
cana-3110	123	1	o	o	PROPN
cana-3110	123	2	output	output	NOUN
cana-3110	123	3	:	:	PUNCT
cana-3110	123	4	a	a	DET
cana-3110	123	5	binarized	binarized	ADJ
cana-3110	123	6	roi	roi	NOUN
cana-3110	123	7	with	with	ADP
cana-3110	123	8	clearly	clearly	ADV
cana-3110	123	9	distinguishable	distinguishable	ADJ
cana-3110	123	10	joint	joint	ADJ
cana-3110	123	11	gaps	gap	NOUN
cana-3110	123	12	.	.	PUNCT
cana-3110	124	1	algorithm	algorithm	NOUN
cana-3110	124	2	:	:	PUNCT
cana-3110	124	3	the	the	DET
cana-3110	124	4	framework	framework	NOUN
cana-3110	124	5	is	be	AUX
cana-3110	124	6	summarized	summarize	VERB
cana-3110	124	7	as	as	SCONJ
cana-3110	124	8	follows	follow	VERB
cana-3110	124	9	:	:	PUNCT
cana-3110	125	1	1	1	X
cana-3110	125	2	.	.	X
cana-3110	125	3	input	input	NOUN
cana-3110	125	4	:	:	PUNCT
cana-3110	125	5	original	original	ADJ
cana-3110	125	6	knee	knee	NOUN
cana-3110	125	7	x	x	NOUN
cana-3110	125	8	-	-	NOUN
cana-3110	125	9	ray	ray	NOUN
cana-3110	125	10	image	image	NOUN
cana-3110	125	11	.	.	PUNCT
cana-3110	126	1	2	2	X
cana-3110	126	2	.	.	X
cana-3110	126	3	apply	apply	VERB
cana-3110	126	4	gaussian	gaussian	ADJ
cana-3110	126	5	blurring	blurring	NOUN
cana-3110	126	6	.	.	PUNCT
cana-3110	127	1	3	3	X
cana-3110	127	2	.	.	X
cana-3110	127	3	perform	perform	VERB
cana-3110	127	4	thresholding	thresholde	VERB
cana-3110	127	5	to	to	PART
cana-3110	127	6	create	create	VERB
cana-3110	127	7	a	a	DET
cana-3110	127	8	binary	binary	ADJ
cana-3110	127	9	mask	mask	NOUN
cana-3110	127	10	.	.	PUNCT
cana-3110	128	1	4	4	X
cana-3110	128	2	.	.	X
cana-3110	128	3	crop	crop	VERB
cana-3110	128	4	the	the	DET
cana-3110	128	5	image	image	NOUN
cana-3110	128	6	vertically	vertically	ADV
cana-3110	128	7	(	(	PUNCT
cana-3110	128	8	50	50	NUM
cana-3110	128	9	rows	row	NOUN
cana-3110	128	10	each	each	PRON
cana-3110	128	11	from	from	ADP
cana-3110	128	12	top	top	ADJ
cana-3110	128	13	and	and	CCONJ
cana-3110	128	14	bottom	bottom	NOUN
cana-3110	128	15	)	)	PUNCT
cana-3110	128	16	.	.	PUNCT
cana-3110	129	1	5	5	X
cana-3110	129	2	.	.	X
cana-3110	129	3	crop	crop	NOUN
cana-3110	129	4	horizontally	horizontally	ADV
cana-3110	129	5	using	use	VERB
cana-3110	129	6	extreme	extreme	ADJ
cana-3110	129	7	non	non	ADJ
cana-3110	129	8	-	-	ADJ
cana-3110	129	9	zero	zero	ADJ
cana-3110	129	10	pixel	pixel	NOUN
cana-3110	129	11	positions	position	NOUN
cana-3110	129	12	.	.	PUNCT
cana-3110	130	1	6	6	X
cana-3110	130	2	.	.	X
cana-3110	130	3	resize	resize	VERB
cana-3110	130	4	the	the	DET
cana-3110	130	5	image	image	NOUN
cana-3110	130	6	to	to	ADP
cana-3110	130	7	128×128128	128×128128	NUM
cana-3110	130	8	\times	\time	NOUN
cana-3110	130	9	128128×128	128128×128	NUM
cana-3110	130	10	.	.	PUNCT
cana-3110	131	1	7	7	X
cana-3110	131	2	.	.	X
cana-3110	131	3	identify	identify	VERB
cana-3110	131	4	sv	sv	PROPN
cana-3110	131	5	,	,	PUNCT
cana-3110	131	6	lm	lm	PROPN
cana-3110	131	7	,	,	PUNCT
cana-3110	131	8	and	and	CCONJ
cana-3110	131	9	gp	gp	NOUN
cana-3110	131	10	using	use	VERB
cana-3110	131	11	wavelet	wavelet	NOUN
cana-3110	131	12	and	and	CCONJ
cana-3110	131	13	statistical	statistical	ADJ
cana-3110	131	14	analysis	analysis	NOUN
cana-3110	131	15	.	.	PUNCT
cana-3110	132	1	8	8	X
cana-3110	132	2	.	.	X
cana-3110	132	3	apply	apply	VERB
cana-3110	132	4	final	final	ADJ
cana-3110	132	5	cropping	cropping	NOUN
cana-3110	132	6	using	use	VERB
cana-3110	132	7	identified	identify	VERB
cana-3110	132	8	points	point	NOUN
cana-3110	132	9	or	or	CCONJ
cana-3110	132	10	default	default	NOUN
cana-3110	132	11	bounds	bound	NOUN
cana-3110	132	12	.	.	PUNCT
cana-3110	133	1	9	9	X
cana-3110	133	2	.	.	X
cana-3110	133	3	filter	filter	NOUN
cana-3110	133	4	and	and	CCONJ
cana-3110	133	5	threshold	threshold	VERB
cana-3110	133	6	the	the	DET
cana-3110	133	7	roi	roi	NOUN
cana-3110	133	8	for	for	ADP
cana-3110	133	9	binarization	binarization	NOUN
cana-3110	133	10	.	.	PUNCT
cana-3110	134	1	10	10	NUM
cana-3110	134	2	.	.	X
cana-3110	135	1	output	output	NOUN
cana-3110	135	2	:	:	PUNCT
cana-3110	135	3	segmented	segment	VERB
cana-3110	135	4	roi	roi	NOUN
cana-3110	135	5	for	for	ADP
cana-3110	135	6	further	further	ADJ
cana-3110	135	7	analysis	analysis	NOUN
cana-3110	135	8	.	.	PUNCT
cana-3110	136	1	4	4	X
cana-3110	136	2	.	.	X
cana-3110	136	3	methodology	methodology	NOUN
cana-3110	136	4	the	the	DET
cana-3110	136	5	proposed	propose	VERB
cana-3110	136	6	methodology	methodology	NOUN
cana-3110	136	7	outlines	outline	VERB
cana-3110	136	8	the	the	DET
cana-3110	136	9	step	step	NOUN
cana-3110	136	10	-	-	PUNCT
cana-3110	136	11	by	by	ADP
cana-3110	136	12	-	-	PUNCT
cana-3110	136	13	step	step	NOUN
cana-3110	136	14	process	process	NOUN
cana-3110	136	15	for	for	ADP
cana-3110	136	16	pre	pre	ADJ
cana-3110	136	17	-	-	ADJ
cana-3110	136	18	processing	processing	ADJ
cana-3110	136	19	knee	knee	NOUN
cana-3110	136	20	x	x	NOUN
cana-3110	136	21	-	-	NOUN
cana-3110	136	22	ray	ray	NOUN
cana-3110	136	23	images	image	NOUN
cana-3110	136	24	to	to	PART
cana-3110	136	25	extract	extract	VERB
cana-3110	136	26	the	the	DET
cana-3110	136	27	region	region	NOUN
cana-3110	136	28	of	of	ADP
cana-3110	136	29	interest	interest	NOUN
cana-3110	136	30	(	(	PUNCT
cana-3110	136	31	roi	roi	NOUN
cana-3110	136	32	)	)	PUNCT
cana-3110	136	33	,	,	PUNCT
cana-3110	136	34	enhance	enhance	VERB
cana-3110	136	35	the	the	DET
cana-3110	136	36	visibility	visibility	NOUN
cana-3110	136	37	of	of	ADP
cana-3110	136	38	critical	critical	ADJ
cana-3110	136	39	features	feature	NOUN
cana-3110	136	40	,	,	PUNCT
cana-3110	136	41	and	and	CCONJ
cana-3110	136	42	improve	improve	VERB
cana-3110	136	43	classification	classification	NOUN
cana-3110	136	44	accuracy	accuracy	NOUN
cana-3110	136	45	for	for	ADP
cana-3110	136	46	diagnosing	diagnose	VERB
cana-3110	136	47	knee	knee	NOUN
cana-3110	136	48	osteoarthritis	osteoarthritis	NOUN
cana-3110	136	49	(	(	PUNCT
cana-3110	136	50	oa	oa	NOUN
cana-3110	136	51	)	)	PUNCT
cana-3110	136	52	severity	severity	NOUN
cana-3110	136	53	based	base	VERB
cana-3110	136	54	on	on	ADP
cana-3110	136	55	the	the	DET
cana-3110	136	56	kellgren	kellgren	NOUN
cana-3110	136	57	and	and	CCONJ
cana-3110	136	58	lawrence	lawrence	PROPN
cana-3110	136	59	(	(	PUNCT
cana-3110	136	60	kl	kl	PROPN
cana-3110	136	61	)	)	PUNCT
cana-3110	136	62	grading	grade	VERB
cana-3110	136	63	system	system	NOUN
cana-3110	136	64	.	.	PUNCT
cana-3110	137	1	communications	communication	NOUN
cana-3110	137	2	on	on	ADP
cana-3110	137	3	applied	apply	VERB
cana-3110	137	4	nonlinear	nonlinear	ADJ
cana-3110	137	5	analysis	analysis	NOUN
cana-3110	137	6	issn	issn	NOUN
cana-3110	137	7	:	:	PUNCT
cana-3110	137	8	1074	1074	NUM
cana-3110	137	9	-	-	PUNCT
cana-3110	137	10	133x	133x	NUM
cana-3110	137	11	vol	vol	NOUN
cana-3110	137	12	32	32	NUM
cana-3110	137	13	no	no	NOUN
cana-3110	137	14	.	.	PUNCT
cana-3110	138	1	5s	5s	NUM
cana-3110	138	2	(	(	PUNCT
cana-3110	138	3	2025	2025	NUM
cana-3110	138	4	)	)	PUNCT
cana-3110	138	5	407	407	NUM
cana-3110	139	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-3110	139	2	1	1	X
cana-3110	139	3	.	.	PUNCT
cana-3110	139	4	dataset	dataset	ADJ
cana-3110	139	5	preparation	preparation	NOUN
cana-3110	139	6	:	:	PUNCT
cana-3110	139	7	•	•	NOUN
cana-3110	139	8	dataset	dataset	NOUN
cana-3110	139	9	:	:	PUNCT
cana-3110	139	10	kaggle	kaggle	PROPN
cana-3110	139	11	knee	knee	NOUN
cana-3110	139	12	osteoarthritis	osteoarthritis	NOUN
cana-3110	139	13	dataset	dataset	VERB
cana-3110	139	14	with	with	ADP
cana-3110	139	15	over	over	ADP
cana-3110	139	16	8000	8000	NUM
cana-3110	139	17	images	image	NOUN
cana-3110	139	18	.	.	PUNCT
cana-3110	140	1	•	•	NUM
cana-3110	140	2	grading	grade	VERB
cana-3110	140	3	classes	class	NOUN
cana-3110	140	4	:	:	PUNCT
cana-3110	140	5	o	o	NOUN
cana-3110	140	6	class	class	NOUN
cana-3110	140	7	0	0	NUM
cana-3110	140	8	:	:	PUNCT
cana-3110	140	9	normal	normal	ADJ
cana-3110	140	10	or	or	CCONJ
cana-3110	140	11	healthy	healthy	ADJ
cana-3110	140	12	.	.	PUNCT
cana-3110	141	1	o	o	X
cana-3110	141	2	class	class	NOUN
cana-3110	141	3	1	1	NUM
cana-3110	141	4	:	:	PUNCT
cana-3110	141	5	doubtful	doubtful	ADJ
cana-3110	141	6	oa	oa	INTJ
cana-3110	141	7	.	.	PUNCT
cana-3110	141	8	o	o	PROPN
cana-3110	141	9	class	class	NOUN
cana-3110	141	10	2	2	NUM
cana-3110	141	11	:	:	PUNCT
cana-3110	141	12	minimal	minimal	ADJ
cana-3110	141	13	oa	oa	INTJ
cana-3110	141	14	.	.	PUNCT
cana-3110	141	15	o	o	PROPN
cana-3110	141	16	class	class	NOUN
cana-3110	141	17	3	3	NUM
cana-3110	141	18	:	:	PUNCT
cana-3110	141	19	moderate	moderate	ADJ
cana-3110	141	20	oa	oa	INTJ
cana-3110	141	21	.	.	PUNCT
cana-3110	142	1	o	o	PROPN
cana-3110	142	2	class	class	NOUN
cana-3110	142	3	4	4	NUM
cana-3110	142	4	:	:	PUNCT
cana-3110	142	5	severe	severe	ADJ
cana-3110	142	6	oa	oa	INTJ
cana-3110	142	7	.	.	PROPN
cana-3110	142	8	•	•	NOUN
cana-3110	142	9	partitioning	partition	VERB
cana-3110	142	10	:	:	PUNCT
cana-3110	142	11	o	o	NOUN
cana-3110	142	12	images	image	NOUN
cana-3110	142	13	divided	divide	VERB
cana-3110	142	14	into	into	ADP
cana-3110	142	15	training	training	NOUN
cana-3110	142	16	,	,	PUNCT
cana-3110	142	17	testing	testing	NOUN
cana-3110	142	18	,	,	PUNCT
cana-3110	142	19	and	and	CCONJ
cana-3110	142	20	validation	validation	NOUN
cana-3110	142	21	sets	set	NOUN
cana-3110	142	22	.	.	PUNCT
cana-3110	143	1	o	o	NOUN
cana-3110	143	2	further	far	ADV
cana-3110	143	3	categorized	categorize	VERB
cana-3110	143	4	into	into	ADP
cana-3110	143	5	five	five	NUM
cana-3110	143	6	subfolders	subfolder	NOUN
cana-3110	143	7	based	base	VERB
cana-3110	143	8	on	on	ADP
cana-3110	143	9	severity	severity	NOUN
cana-3110	143	10	grades	grade	NOUN
cana-3110	143	11	.	.	PUNCT
cana-3110	144	1	2	2	X
cana-3110	144	2	.	.	X
cana-3110	144	3	pre	pre	ADJ
cana-3110	144	4	-	-	ADJ
cana-3110	144	5	processing	processing	ADJ
cana-3110	144	6	steps	step	NOUN
cana-3110	144	7	:	:	PUNCT
cana-3110	144	8	2.1	2.1	NUM
cana-3110	144	9	noise	noise	NOUN
cana-3110	144	10	removal	removal	NOUN
cana-3110	144	11	:	:	PUNCT
cana-3110	144	12	•	•	NUM
cana-3110	144	13	gaussian	gaussian	ADJ
cana-3110	144	14	blurring	blurring	NOUN
cana-3110	144	15	:	:	PUNCT
cana-3110	144	16	o	o	PROPN
cana-3110	144	17	kernel	kernel	PROPN
cana-3110	144	18	size	size	NOUN
cana-3110	144	19	:	:	PUNCT
cana-3110	144	20	3×33	3×33	NUM
cana-3110	144	21	\times	\time	VERB
cana-3110	144	22	33×3	33×3	PROPN
cana-3110	144	23	.	.	PUNCT
cana-3110	145	1	o	o	PROPN
cana-3110	145	2	parameters	parameter	NOUN
cana-3110	145	3	:	:	PUNCT
cana-3110	145	4	σx=0,σy=0\sigma_x	σx=0,σy=0\sigma_x	VERB
cana-3110	145	5	=	=	SYM
cana-3110	145	6	0	0	NUM
cana-3110	145	7	,	,	PUNCT
cana-3110	145	8	\sigma_y	\sigma_y	VERB
cana-3110	145	9	=	=	PUNCT
cana-3110	145	10	0σx=0,σy=0	0σx=0,σy=0	NUM
cana-3110	145	11	.	.	PUNCT
cana-3110	146	1	o	o	X
cana-3110	146	2	purpose	purpose	NOUN
cana-3110	146	3	:	:	PUNCT
cana-3110	146	4	smooth	smooth	VERB
cana-3110	146	5	the	the	DET
cana-3110	146	6	image	image	NOUN
cana-3110	146	7	and	and	CCONJ
cana-3110	146	8	reduce	reduce	VERB
cana-3110	146	9	noise	noise	NOUN
cana-3110	146	10	while	while	SCONJ
cana-3110	146	11	preserving	preserve	VERB
cana-3110	146	12	edges	edge	NOUN
cana-3110	146	13	.	.	PUNCT
cana-3110	147	1	2.2	2.2	NUM
cana-3110	147	2	thresholding	thresholding	NOUN
cana-3110	147	3	:	:	PUNCT
cana-3110	147	4	•	•	NUM
cana-3110	147	5	binary	binary	PROPN
cana-3110	147	6	conversion	conversion	NOUN
cana-3110	147	7	:	:	PUNCT
cana-3110	147	8	o	o	NOUN
cana-3110	147	9	threshold	threshold	NOUN
cana-3110	147	10	value	value	NOUN
cana-3110	147	11	:	:	PUNCT
cana-3110	147	12	80	80	NUM
cana-3110	147	13	.	.	PUNCT
cana-3110	148	1	o	o	NOUN
cana-3110	148	2	output	output	NOUN
cana-3110	148	3	:	:	PUNCT
cana-3110	148	4	binary	binary	PROPN
cana-3110	148	5	mask	mask	NOUN
cana-3110	148	6	distinguishing	distinguish	VERB
cana-3110	148	7	hard	hard	ADJ
cana-3110	148	8	tissues	tissue	NOUN
cana-3110	148	9	(	(	PUNCT
cana-3110	148	10	foreground	foreground	VERB
cana-3110	148	11	)	)	PUNCT
cana-3110	148	12	from	from	ADP
cana-3110	148	13	soft	soft	ADJ
cana-3110	148	14	tissues	tissue	NOUN
cana-3110	148	15	(	(	PUNCT
cana-3110	148	16	background	background	NOUN
cana-3110	148	17	)	)	PUNCT
cana-3110	148	18	.	.	PUNCT
cana-3110	149	1	3	3	X
cana-3110	149	2	.	.	X
cana-3110	149	3	region	region	NOUN
cana-3110	149	4	of	of	ADP
cana-3110	149	5	interest	interest	NOUN
cana-3110	149	6	(	(	PUNCT
cana-3110	149	7	roi	roi	NOUN
cana-3110	149	8	)	)	PUNCT
cana-3110	149	9	segmentation	segmentation	NOUN
cana-3110	149	10	:	:	PUNCT
cana-3110	149	11	3.1	3.1	NUM
cana-3110	149	12	vertical	vertical	ADJ
cana-3110	149	13	cropping	cropping	NOUN
cana-3110	149	14	:	:	PUNCT
cana-3110	149	15	•	•	NUM
cana-3110	149	16	process	process	NOUN
cana-3110	149	17	:	:	PUNCT
cana-3110	149	18	o	o	NOUN
cana-3110	149	19	remove	remove	VERB
cana-3110	149	20	50	50	NUM
cana-3110	149	21	rows	row	NOUN
cana-3110	149	22	from	from	ADP
cana-3110	149	23	the	the	DET
cana-3110	149	24	top	top	NOUN
cana-3110	149	25	and	and	CCONJ
cana-3110	149	26	bottom	bottom	NOUN
cana-3110	149	27	of	of	ADP
cana-3110	149	28	the	the	DET
cana-3110	149	29	binary	binary	ADJ
cana-3110	149	30	image	image	NOUN
cana-3110	149	31	.	.	PUNCT
cana-3110	150	1	•	•	NUM
cana-3110	150	2	purpose	purpose	NOUN
cana-3110	150	3	:	:	PUNCT
cana-3110	150	4	o	o	NOUN
cana-3110	150	5	exclude	exclude	VERB
cana-3110	150	6	non	non	ADJ
cana-3110	150	7	-	-	ADJ
cana-3110	150	8	relevant	relevant	ADJ
cana-3110	150	9	upper	upper	ADJ
cana-3110	150	10	and	and	CCONJ
cana-3110	150	11	lower	low	ADJ
cana-3110	150	12	areas	area	NOUN
cana-3110	150	13	to	to	PART
cana-3110	150	14	focus	focus	VERB
cana-3110	150	15	on	on	ADP
cana-3110	150	16	the	the	DET
cana-3110	150	17	knee	knee	NOUN
cana-3110	150	18	joint	joint	NOUN
cana-3110	150	19	.	.	PUNCT
cana-3110	151	1	3.2	3.2	NUM
cana-3110	151	2	horizontal	horizontal	ADJ
cana-3110	151	3	cropping	cropping	NOUN
cana-3110	151	4	:	:	PUNCT
cana-3110	151	5	•	•	NUM
cana-3110	151	6	process	process	NOUN
cana-3110	151	7	:	:	PUNCT
cana-3110	151	8	o	o	NOUN
cana-3110	151	9	analyze	analyze	VERB
cana-3110	151	10	each	each	DET
cana-3110	151	11	row	row	NOUN
cana-3110	151	12	for	for	ADP
cana-3110	151	13	the	the	DET
cana-3110	151	14	first	first	ADJ
cana-3110	151	15	and	and	CCONJ
cana-3110	151	16	last	last	ADJ
cana-3110	151	17	non	non	ADJ
cana-3110	151	18	-	-	ADJ
cana-3110	151	19	zero	zero	ADJ
cana-3110	151	20	pixel	pixel	NOUN
cana-3110	151	21	columns	column	NOUN
cana-3110	151	22	.	.	PUNCT
cana-3110	152	1	communications	communication	NOUN
cana-3110	152	2	on	on	ADP
cana-3110	152	3	applied	apply	VERB
cana-3110	152	4	nonlinear	nonlinear	ADJ
cana-3110	152	5	analysis	analysis	NOUN
cana-3110	152	6	issn	issn	NOUN
cana-3110	152	7	:	:	PUNCT
cana-3110	152	8	1074	1074	NUM
cana-3110	152	9	-	-	PUNCT
cana-3110	152	10	133x	133x	NUM
cana-3110	152	11	vol	vol	NOUN
cana-3110	152	12	32	32	NUM
cana-3110	152	13	no	no	NOUN
cana-3110	152	14	.	.	PUNCT
cana-3110	153	1	5s	5s	NUM
cana-3110	153	2	(	(	PUNCT
cana-3110	153	3	2025	2025	NUM
cana-3110	153	4	)	)	PUNCT
cana-3110	153	5	408	408	NUM
cana-3110	153	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3110	153	7	o	o	NOUN
cana-3110	153	8	crop	crop	NOUN
cana-3110	153	9	the	the	DET
cana-3110	153	10	image	image	NOUN
cana-3110	153	11	horizontally	horizontally	ADV
cana-3110	153	12	to	to	PART
cana-3110	153	13	retain	retain	VERB
cana-3110	153	14	only	only	ADV
cana-3110	153	15	the	the	DET
cana-3110	153	16	knee	knee	NOUN
cana-3110	153	17	joint	joint	ADJ
cana-3110	153	18	region	region	NOUN
cana-3110	153	19	.	.	PUNCT
cana-3110	154	1	•	•	NUM
cana-3110	154	2	purpose	purpose	NOUN
cana-3110	154	3	:	:	PUNCT
cana-3110	154	4	o	o	NOUN
cana-3110	154	5	eliminate	eliminate	VERB
cana-3110	154	6	irrelevant	irrelevant	ADJ
cana-3110	154	7	regions	region	NOUN
cana-3110	154	8	on	on	ADP
cana-3110	154	9	the	the	DET
cana-3110	154	10	left	left	NOUN
cana-3110	154	11	and	and	CCONJ
cana-3110	154	12	right	right	ADJ
cana-3110	154	13	.	.	PUNCT
cana-3110	155	1	3.3	3.3	NUM
cana-3110	155	2	resizing	resizing	NOUN
cana-3110	155	3	:	:	PUNCT
cana-3110	155	4	•	•	NUM
cana-3110	155	5	standard	standard	ADJ
cana-3110	155	6	dimensions	dimension	NOUN
cana-3110	155	7	:	:	PUNCT
cana-3110	155	8	128×128128	128×128128	NUM
cana-3110	155	9	\times	\time	VERB
cana-3110	155	10	128128×128	128128×128	NUM
cana-3110	155	11	pixels	pixel	NOUN
cana-3110	155	12	.	.	PUNCT
cana-3110	155	13	•	•	NUM
cana-3110	155	14	purpose	purpose	NOUN
cana-3110	155	15	:	:	PUNCT
cana-3110	155	16	o	o	NOUN
cana-3110	155	17	normalize	normalize	VERB
cana-3110	155	18	the	the	DET
cana-3110	155	19	image	image	NOUN
cana-3110	155	20	size	size	NOUN
cana-3110	155	21	for	for	ADP
cana-3110	155	22	consistent	consistent	ADJ
cana-3110	155	23	processing	processing	NOUN
cana-3110	155	24	and	and	CCONJ
cana-3110	155	25	classification	classification	NOUN
cana-3110	155	26	.	.	PUNCT
cana-3110	156	1	4	4	X
cana-3110	156	2	.	.	X
cana-3110	156	3	feature	feature	NOUN
cana-3110	156	4	enhancement	enhancement	NOUN
cana-3110	156	5	:	:	PUNCT
cana-3110	156	6	4.1	4.1	NUM
cana-3110	156	7	statistical	statistical	ADJ
cana-3110	156	8	analysis	analysis	NOUN
cana-3110	156	9	:	:	PUNCT
cana-3110	156	10	•	•	NUM
cana-3110	156	11	identify	identify	VERB
cana-3110	156	12	three	three	NUM
cana-3110	156	13	key	key	ADJ
cana-3110	156	14	points	point	NOUN
cana-3110	156	15	:	:	PUNCT
cana-3110	156	16	o	o	X
cana-3110	156	17	strong	strong	ADJ
cana-3110	156	18	valley	valley	NOUN
cana-3110	156	19	(	(	PUNCT
cana-3110	156	20	sv	sv	INTJ
cana-3110	156	21	):	):	PUNCT
cana-3110	156	22	lowest	low	ADJ
cana-3110	156	23	intensity	intensity	NOUN
cana-3110	156	24	region	region	NOUN
cana-3110	156	25	in	in	ADP
cana-3110	156	26	the	the	DET
cana-3110	156	27	knee	knee	NOUN
cana-3110	156	28	joint	joint	ADJ
cana-3110	156	29	gap	gap	NOUN
cana-3110	156	30	.	.	PUNCT
cana-3110	157	1	o	o	X
cana-3110	157	2	local	local	ADJ
cana-3110	157	3	maxima	maxima	NOUN
cana-3110	157	4	(	(	PUNCT
cana-3110	157	5	lm	lm	INTJ
cana-3110	157	6	):	):	PUNCT
cana-3110	157	7	first	first	ADJ
cana-3110	157	8	intensity	intensity	NOUN
cana-3110	157	9	peak	peak	NOUN
cana-3110	157	10	after	after	ADP
cana-3110	157	11	sv	sv	PROPN
cana-3110	157	12	.	.	PUNCT
cana-3110	158	1	o	o	PROPN
cana-3110	158	2	global	global	ADJ
cana-3110	158	3	peak	peak	NOUN
cana-3110	158	4	(	(	PUNCT
cana-3110	158	5	gp	gp	NOUN
cana-3110	158	6	):	):	PUNCT
cana-3110	158	7	highest	high	ADJ
cana-3110	158	8	intensity	intensity	NOUN
cana-3110	158	9	point	point	NOUN
cana-3110	158	10	beyond	beyond	ADP
cana-3110	158	11	sv	sv	PROPN
cana-3110	158	12	.	.	PROPN
cana-3110	158	13	•	•	NOUN
cana-3110	158	14	use	use	VERB
cana-3110	158	15	these	these	DET
cana-3110	158	16	points	point	NOUN
cana-3110	158	17	to	to	PART
cana-3110	158	18	refine	refine	VERB
cana-3110	158	19	the	the	DET
cana-3110	158	20	segmentation	segmentation	NOUN
cana-3110	158	21	boundaries	boundary	NOUN
cana-3110	158	22	.	.	PUNCT
cana-3110	159	1	4.2	4.2	NUM
cana-3110	159	2	wavelet	wavelet	NOUN
cana-3110	159	3	decomposition	decomposition	NOUN
cana-3110	159	4	:	:	PUNCT
cana-3110	159	5	•	•	NOUN
cana-3110	159	6	technique	technique	NOUN
cana-3110	159	7	:	:	PUNCT
cana-3110	159	8	'	'	PUNCT
cana-3110	159	9	db6	db6	NOUN
cana-3110	159	10	'	'	PUNCT
cana-3110	159	11	mother	mother	NOUN
cana-3110	159	12	wavelet	wavelet	NOUN
cana-3110	159	13	.	.	PUNCT
cana-3110	160	1	•	•	NUM
cana-3110	160	2	levels	level	NOUN
cana-3110	160	3	:	:	PUNCT
cana-3110	160	4	decompose	decompose	NOUN
cana-3110	160	5	image	image	NOUN
cana-3110	160	6	up	up	ADP
cana-3110	160	7	to	to	PART
cana-3110	160	8	level	level	VERB
cana-3110	160	9	3	3	NUM
cana-3110	160	10	.	.	NOUN
cana-3110	160	11	•	•	NUM
cana-3110	161	1	purpose	purpose	NOUN
cana-3110	161	2	:	:	PUNCT
cana-3110	161	3	o	o	X
cana-3110	161	4	highlight	highlight	VERB
cana-3110	161	5	critical	critical	ADJ
cana-3110	161	6	intensity	intensity	NOUN
cana-3110	161	7	changes	change	NOUN
cana-3110	161	8	.	.	PUNCT
cana-3110	162	1	o	o	X
cana-3110	162	2	locate	locate	ADJ
cana-3110	162	3	precise	precise	ADJ
cana-3110	162	4	gap	gap	NOUN
cana-3110	162	5	regions	region	NOUN
cana-3110	162	6	between	between	ADP
cana-3110	162	7	knee	knee	NOUN
cana-3110	162	8	joints	joint	NOUN
cana-3110	162	9	.	.	PUNCT
cana-3110	163	1	5	5	X
cana-3110	163	2	.	.	X
cana-3110	163	3	final	final	ADJ
cana-3110	163	4	roi	roi	NOUN
cana-3110	163	5	extraction	extraction	NOUN
cana-3110	163	6	:	:	PUNCT
cana-3110	163	7	5.1	5.1	NUM
cana-3110	163	8	cropping	cropping	NOUN
cana-3110	163	9	rules	rule	NOUN
cana-3110	163	10	:	:	PUNCT
cana-3110	163	11	•	•	NUM
cana-3110	163	12	condition	condition	NOUN
cana-3110	163	13	1	1	NUM
cana-3110	163	14	(	(	PUNCT
cana-3110	163	15	normal	normal	ADJ
cana-3110	163	16	cases	case	NOUN
cana-3110	163	17	):	):	PUNCT
cana-3110	163	18	o	o	PROPN
cana-3110	163	19	start	start	NOUN
cana-3110	163	20	row	row	NOUN
cana-3110	163	21	:	:	PUNCT
cana-3110	163	22	sv−15sv	sv−15sv	PROPN
cana-3110	163	23	15sv−15	15sv−15	PROPN
cana-3110	163	24	.	.	PUNCT
cana-3110	164	1	o	o	PROPN
cana-3110	164	2	end	end	NOUN
cana-3110	164	3	row	row	NOUN
cana-3110	164	4	:	:	PUNCT
cana-3110	164	5	gp+5gp	gp+5gp	ADJ
cana-3110	164	6	+	+	NOUN
cana-3110	164	7	5gp+5	5gp+5	NUM
cana-3110	164	8	.	.	PUNCT
cana-3110	164	9	•	•	NUM
cana-3110	164	10	condition	condition	NOUN
cana-3110	164	11	2	2	NUM
cana-3110	164	12	(	(	PUNCT
cana-3110	164	13	poor	poor	ADJ
cana-3110	164	14	contrast	contrast	NOUN
cana-3110	164	15	):	):	PUNCT
cana-3110	164	16	o	o	NOUN
cana-3110	164	17	start	start	NOUN
cana-3110	164	18	row	row	NOUN
cana-3110	164	19	:	:	PUNCT
cana-3110	165	1	40	40	NUM
cana-3110	165	2	.	.	PUNCT
cana-3110	166	1	o	o	NOUN
cana-3110	166	2	end	end	NOUN
cana-3110	166	3	row	row	NOUN
cana-3110	166	4	:	:	PUNCT
cana-3110	167	1	110	110	NUM
cana-3110	167	2	.	.	X
cana-3110	167	3	5.2	5.2	NUM
cana-3110	167	4	median	median	ADJ
cana-3110	167	5	filtering	filtering	NOUN
cana-3110	167	6	:	:	PUNCT
cana-3110	167	7	•	•	NUM
cana-3110	167	8	purpose	purpose	NOUN
cana-3110	167	9	:	:	PUNCT
cana-3110	167	10	reduce	reduce	VERB
cana-3110	167	11	noise	noise	NOUN
cana-3110	167	12	while	while	SCONJ
cana-3110	167	13	preserving	preserve	VERB
cana-3110	167	14	edges	edge	NOUN
cana-3110	167	15	within	within	ADP
cana-3110	167	16	the	the	DET
cana-3110	167	17	roi	roi	NOUN
cana-3110	167	18	.	.	PUNCT
cana-3110	168	1	communications	communication	NOUN
cana-3110	168	2	on	on	ADP
cana-3110	168	3	applied	apply	VERB
cana-3110	168	4	nonlinear	nonlinear	ADJ
cana-3110	168	5	analysis	analysis	NOUN
cana-3110	168	6	issn	issn	NOUN
cana-3110	168	7	:	:	PUNCT
cana-3110	168	8	1074	1074	NUM
cana-3110	168	9	-	-	PUNCT
cana-3110	168	10	133x	133x	NUM
cana-3110	168	11	vol	vol	NOUN
cana-3110	168	12	32	32	NUM
cana-3110	168	13	no	no	NOUN
cana-3110	168	14	.	.	PUNCT
cana-3110	169	1	5s	5s	NUM
cana-3110	169	2	(	(	PUNCT
cana-3110	169	3	2025	2025	NUM
cana-3110	169	4	)	)	PUNCT
cana-3110	169	5	409	409	NUM
cana-3110	169	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3110	169	7	5.3	5.3	NUM
cana-3110	169	8	binarization	binarization	NOUN
cana-3110	169	9	:	:	PUNCT
cana-3110	169	10	•	•	NUM
cana-3110	169	11	threshold	threshold	NOUN
cana-3110	169	12	:	:	PUNCT
cana-3110	169	13	adaptive	adaptive	ADJ
cana-3110	169	14	threshold	threshold	NOUN
cana-3110	169	15	based	base	VERB
cana-3110	169	16	on	on	ADP
cana-3110	169	17	roi	roi	NOUN
cana-3110	169	18	mean	mean	NOUN
cana-3110	169	19	intensity	intensity	NOUN
cana-3110	169	20	.	.	PUNCT
cana-3110	170	1	•	•	NUM
cana-3110	170	2	output	output	NOUN
cana-3110	170	3	:	:	PUNCT
cana-3110	170	4	binary	binary	ADJ
cana-3110	170	5	image	image	NOUN
cana-3110	170	6	with	with	ADP
cana-3110	170	7	clearly	clearly	ADV
cana-3110	170	8	distinguishable	distinguishable	ADJ
cana-3110	170	9	knee	knee	NOUN
cana-3110	170	10	joint	joint	ADJ
cana-3110	170	11	gaps	gap	NOUN
cana-3110	170	12	.	.	PUNCT
cana-3110	171	1	6	6	X
cana-3110	171	2	.	.	X
cana-3110	171	3	post	post	ADJ
cana-3110	171	4	-	-	ADJ
cana-3110	171	5	processing	processing	NOUN
cana-3110	171	6	and	and	CCONJ
cana-3110	171	7	output	output	NOUN
cana-3110	171	8	:	:	PUNCT
cana-3110	171	9	•	•	NUM
cana-3110	171	10	extracted	extract	VERB
cana-3110	171	11	roi	roi	NOUN
cana-3110	171	12	is	be	AUX
cana-3110	171	13	analyzed	analyze	VERB
cana-3110	171	14	to	to	PART
cana-3110	171	15	measure	measure	VERB
cana-3110	171	16	joint	joint	ADJ
cana-3110	171	17	gap	gap	NOUN
cana-3110	171	18	and	and	CCONJ
cana-3110	171	19	texture	texture	NOUN
cana-3110	171	20	features	feature	NOUN
cana-3110	171	21	.	.	PUNCT
cana-3110	172	1	•	•	NUM
cana-3110	172	2	prepared	prepared	ADJ
cana-3110	172	3	roi	roi	NOUN
cana-3110	172	4	is	be	AUX
cana-3110	172	5	used	use	VERB
cana-3110	172	6	for	for	ADP
cana-3110	172	7	classification	classification	NOUN
cana-3110	172	8	into	into	ADP
cana-3110	172	9	kl	kl	PROPN
cana-3110	172	10	grades	grade	NOUN
cana-3110	172	11	using	use	VERB
cana-3110	172	12	machine	machine	NOUN
cana-3110	172	13	learning	learning	NOUN
cana-3110	172	14	models	model	NOUN
cana-3110	172	15	.	.	PUNCT
cana-3110	173	1	•	•	NUM
cana-3110	173	2	the	the	DET
cana-3110	173	3	segmented	segment	VERB
cana-3110	173	4	roi	roi	NOUN
cana-3110	173	5	ensures	ensure	VERB
cana-3110	173	6	minimal	minimal	ADJ
cana-3110	173	7	ambiguity	ambiguity	NOUN
cana-3110	173	8	and	and	CCONJ
cana-3110	173	9	preserves	preserve	VERB
cana-3110	173	10	essential	essential	ADJ
cana-3110	173	11	diagnostic	diagnostic	ADJ
cana-3110	173	12	features	feature	NOUN
cana-3110	173	13	.	.	PUNCT
cana-3110	174	1	5	5	X
cana-3110	174	2	.	.	X
cana-3110	174	3	materials	material	NOUN
cana-3110	174	4	and	and	CCONJ
cana-3110	174	5	method	method	NOUN
cana-3110	174	6	figure	figure	NOUN
cana-3110	174	7	1	1	NUM
cana-3110	174	8	exhibits	exhibit	VERB
cana-3110	174	9	several	several	ADJ
cana-3110	174	10	grade	grade	NOUN
cana-3110	174	11	0	0	NUM
cana-3110	175	1	(	(	PUNCT
cana-3110	175	2	normal	normal	ADJ
cana-3110	175	3	)	)	PUNCT
cana-3110	175	4	knee	knee	NOUN
cana-3110	175	5	x	x	NOUN
cana-3110	175	6	-	-	NOUN
cana-3110	175	7	rays	ray	NOUN
cana-3110	175	8	from	from	ADP
cana-3110	175	9	the	the	DET
cana-3110	175	10	kaggle	kaggle	ADJ
cana-3110	175	11	collection	collection	NOUN
cana-3110	175	12	.	.	PUNCT
cana-3110	176	1	photos	photo	NOUN
cana-3110	176	2	that	that	PRON
cana-3110	176	3	are	be	AUX
cana-3110	176	4	clearly	clearly	ADV
cana-3110	176	5	and	and	CCONJ
cana-3110	176	6	with	with	ADP
cana-3110	176	7	excellent	excellent	ADJ
cana-3110	176	8	contrast	contrast	NOUN
cana-3110	176	9	,	,	PUNCT
cana-3110	176	10	photos	photo	NOUN
cana-3110	176	11	that	that	PRON
cana-3110	176	12	are	be	AUX
cana-3110	176	13	poorly	poorly	ADV
cana-3110	176	14	lighted	light	VERB
cana-3110	176	15	,	,	PUNCT
cana-3110	176	16	images	image	NOUN
cana-3110	176	17	that	that	PRON
cana-3110	176	18	are	be	AUX
cana-3110	176	19	excessively	excessively	ADV
cana-3110	176	20	bright	bright	ADJ
cana-3110	176	21	,	,	PUNCT
cana-3110	176	22	images	image	NOUN
cana-3110	176	23	that	that	PRON
cana-3110	176	24	seem	seem	VERB
cana-3110	176	25	like	like	ADP
cana-3110	176	26	negatives	negative	NOUN
cana-3110	176	27	—	—	PUNCT
cana-3110	176	28	all	all	PRON
cana-3110	176	29	of	of	ADP
cana-3110	176	30	which	which	PRON
cana-3110	176	31	highlight	highlight	VERB
cana-3110	176	32	how	how	SCONJ
cana-3110	176	33	varied	varied	ADJ
cana-3110	176	34	picture	picture	NOUN
cana-3110	176	35	quality	quality	NOUN
cana-3110	176	36	is	be	AUX
cana-3110	176	37	throughout	throughout	ADP
cana-3110	176	38	five	five	NUM
cana-3110	176	39	columns	column	NOUN
cana-3110	176	40	.	.	PUNCT
cana-3110	177	1	these	these	DET
cana-3110	177	2	variations	variation	NOUN
cana-3110	177	3	highlight	highlight	VERB
cana-3110	177	4	the	the	DET
cana-3110	177	5	need	need	NOUN
cana-3110	177	6	of	of	ADP
cana-3110	177	7	robust	robust	ADJ
cana-3110	177	8	pre	pre	ADJ
cana-3110	177	9	-	-	ADJ
cana-3110	177	10	processing	processing	ADJ
cana-3110	177	11	techniques	technique	NOUN
cana-3110	177	12	in	in	ADP
cana-3110	177	13	ensuring	ensure	VERB
cana-3110	177	14	constant	constant	ADJ
cana-3110	177	15	accuracy	accuracy	NOUN
cana-3110	177	16	of	of	ADP
cana-3110	177	17	roi	roi	NOUN
cana-3110	177	18	extraction	extraction	NOUN
cana-3110	177	19	and	and	CCONJ
cana-3110	177	20	effective	effective	ADJ
cana-3110	177	21	categorisation	categorisation	NOUN
cana-3110	177	22	.	.	PUNCT
cana-3110	178	1	figure	figure	NOUN
cana-3110	178	2	1	1	NUM
cana-3110	178	3	–	–	PUNCT
cana-3110	178	4	grade	grade	NOUN
cana-3110	178	5	0	0	NUM
cana-3110	178	6	(	(	PUNCT
cana-3110	178	7	normal	normal	ADJ
cana-3110	178	8	)	)	PUNCT
cana-3110	178	9	knee	knee	NOUN
cana-3110	178	10	x	x	X
cana-3110	178	11	-	-	NOUN
cana-3110	178	12	ray	ray	NOUN
cana-3110	178	13	pictures	picture	NOUN
cana-3110	178	14	.	.	PUNCT
cana-3110	179	1	samples	sample	NOUN
cana-3110	179	2	from	from	ADP
cana-3110	179	3	the	the	DET
cana-3110	179	4	following	follow	VERB
cana-3110	179	5	categories	category	NOUN
cana-3110	179	6	:	:	PUNCT
cana-3110	179	7	negativelike	negativelike	ADJ
cana-3110	179	8	photos	photo	NOUN
cana-3110	179	9	,	,	PUNCT
cana-3110	179	10	brightly	brightly	ADV
cana-3110	179	11	and	and	CCONJ
cana-3110	179	12	weakly	weakly	ADJ
cana-3110	179	13	lighted	light	VERB
cana-3110	179	14	images	image	NOUN
cana-3110	179	15	,	,	PUNCT
cana-3110	179	16	and	and	CCONJ
cana-3110	179	17	images	image	NOUN
cana-3110	179	18	with	with	ADP
cana-3110	179	19	excellent	excellent	ADJ
cana-3110	179	20	and	and	CCONJ
cana-3110	179	21	poor	poor	ADJ
cana-3110	179	22	contrast	contrast	NOUN
cana-3110	179	23	.	.	PUNCT
cana-3110	180	1	for	for	ADP
cana-3110	180	2	an	an	DET
cana-3110	180	3	example	example	NOUN
cana-3110	180	4	x	x	NOUN
cana-3110	180	5	-	-	NOUN
cana-3110	180	6	ray	ray	NOUN
cana-3110	180	7	image	image	NOUN
cana-3110	180	8	of	of	ADP
cana-3110	180	9	the	the	DET
cana-3110	180	10	knee	knee	NOUN
cana-3110	180	11	,	,	PUNCT
cana-3110	180	12	figure	figure	NOUN
cana-3110	180	13	2	2	NUM
cana-3110	180	14	displays	display	VERB
cana-3110	180	15	the	the	DET
cana-3110	180	16	initial	initial	ADJ
cana-3110	180	17	pre	pre	ADJ
cana-3110	180	18	-	-	ADJ
cana-3110	180	19	processing	processing	ADJ
cana-3110	180	20	stages	stage	NOUN
cana-3110	180	21	.	.	PUNCT
cana-3110	181	1	it	it	PRON
cana-3110	181	2	depicts	depict	VERB
cana-3110	181	3	how	how	SCONJ
cana-3110	181	4	the	the	DET
cana-3110	181	5	image	image	NOUN
cana-3110	181	6	evolved	evolve	VERB
cana-3110	181	7	from	from	ADP
cana-3110	181	8	noisy	noisy	ADJ
cana-3110	181	9	to	to	ADP
cana-3110	181	10	being	be	AUX
cana-3110	181	11	smoothed	smooth	VERB
cana-3110	181	12	using	use	VERB
cana-3110	181	13	gaussian	gaussian	ADJ
cana-3110	181	14	blurring	blurring	NOUN
cana-3110	181	15	then	then	ADV
cana-3110	181	16	to	to	ADP
cana-3110	181	17	a	a	DET
cana-3110	181	18	thresholded	thresholde	VERB
cana-3110	181	19	binary	binary	ADJ
cana-3110	181	20	image	image	NOUN
cana-3110	181	21	.	.	PUNCT
cana-3110	182	1	the	the	DET
cana-3110	182	2	binary	binary	ADJ
cana-3110	182	3	image	image	NOUN
cana-3110	182	4	separates	separate	VERB
cana-3110	182	5	the	the	DET
cana-3110	182	6	backdrop	backdrop	NOUN
cana-3110	182	7	from	from	ADP
cana-3110	182	8	soft	soft	ADJ
cana-3110	182	9	tissues	tissue	NOUN
cana-3110	182	10	and	and	CCONJ
cana-3110	182	11	the	the	DET
cana-3110	182	12	central	central	ADJ
cana-3110	182	13	from	from	ADP
cana-3110	182	14	hard	hard	ADJ
cana-3110	182	15	tissues	tissue	NOUN
cana-3110	182	16	.	.	PUNCT
cana-3110	183	1	roi	roi	NOUN
cana-3110	183	2	extraction	extraction	NOUN
cana-3110	183	3	is	be	AUX
cana-3110	183	4	therefore	therefore	ADV
cana-3110	183	5	feasible	feasible	ADJ
cana-3110	183	6	.	.	PUNCT
cana-3110	184	1	figure	figure	NOUN
cana-3110	184	2	2	2	NUM
cana-3110	184	3	–	–	PUNCT
cana-3110	184	4	comparable	comparable	ADJ
cana-3110	184	5	knee	knee	NOUN
cana-3110	184	6	x	x	NOUN
cana-3110	184	7	-	-	NOUN
cana-3110	184	8	ray	ray	NOUN
cana-3110	184	9	pictures	picture	NOUN
cana-3110	184	10	that	that	PRON
cana-3110	184	11	match	match	VERB
cana-3110	184	12	grade	grade	NOUN
cana-3110	184	13	1	1	NUM
cana-3110	184	14	(	(	PUNCT
cana-3110	184	15	doubtful	doubtful	ADJ
cana-3110	184	16	)	)	PUNCT
cana-3110	184	17	.	.	PUNCT
cana-3110	185	1	figure	figure	NOUN
cana-3110	185	2	3	3	NUM
cana-3110	185	3	shows	show	VERB
cana-3110	185	4	the	the	DET
cana-3110	185	5	cover	cover	NOUN
cana-3110	185	6	image	image	NOUN
cana-3110	185	7	created	create	VERB
cana-3110	185	8	by	by	ADP
cana-3110	185	9	raising	raise	VERB
cana-3110	185	10	the	the	DET
cana-3110	185	11	thresholded	thresholde	VERB
cana-3110	185	12	binary	binary	ADJ
cana-3110	185	13	image	image	NOUN
cana-3110	185	14	by	by	ADP
cana-3110	185	15	the	the	DET
cana-3110	185	16	source	source	NOUN
cana-3110	185	17	image	image	NOUN
cana-3110	185	18	.	.	PUNCT
cana-3110	186	1	this	this	DET
cana-3110	186	2	procedure	procedure	NOUN
cana-3110	186	3	divides	divide	VERB
cana-3110	186	4	the	the	DET
cana-3110	186	5	knee	knee	NOUN
cana-3110	186	6	joint	joint	ADJ
cana-3110	186	7	region	region	NOUN
cana-3110	186	8	,	,	PUNCT
cana-3110	186	9	so	so	ADV
cana-3110	186	10	the	the	DET
cana-3110	186	11	roi	roi	NOUN
cana-3110	186	12	stands	stand	VERB
cana-3110	186	13	out	out	ADP
cana-3110	186	14	and	and	CCONJ
cana-3110	186	15	eliminates	eliminate	VERB
cana-3110	186	16	useless	useless	ADJ
cana-3110	186	17	portions	portion	NOUN
cana-3110	186	18	.	.	PUNCT
cana-3110	187	1	the	the	DET
cana-3110	187	2	roi	roi	NOUN
cana-3110	187	3	is	be	AUX
cana-3110	187	4	ready	ready	ADJ
cana-3110	187	5	for	for	ADP
cana-3110	187	6	extra	extra	ADJ
cana-3110	187	7	treatment	treatment	NOUN
cana-3110	187	8	as	as	ADP
cana-3110	187	9	the	the	DET
cana-3110	187	10	core	core	NOUN
cana-3110	187	11	and	and	CCONJ
cana-3110	187	12	backdrop	backdrop	NOUN
cana-3110	187	13	are	be	AUX
cana-3110	187	14	clearly	clearly	ADV
cana-3110	187	15	separated	separate	VERB
cana-3110	187	16	now	now	ADV
cana-3110	187	17	.	.	PUNCT
cana-3110	188	1	communications	communication	NOUN
cana-3110	188	2	on	on	ADP
cana-3110	188	3	applied	apply	VERB
cana-3110	188	4	nonlinear	nonlinear	ADJ
cana-3110	188	5	analysis	analysis	NOUN
cana-3110	188	6	issn	issn	NOUN
cana-3110	188	7	:	:	PUNCT
cana-3110	188	8	1074	1074	NUM
cana-3110	188	9	-	-	PUNCT
cana-3110	188	10	133x	133x	NUM
cana-3110	188	11	vol	vol	NOUN
cana-3110	188	12	32	32	NUM
cana-3110	188	13	no	no	NOUN
cana-3110	188	14	.	.	PUNCT
cana-3110	189	1	5s	5s	NUM
cana-3110	189	2	(	(	PUNCT
cana-3110	189	3	2025	2025	NUM
cana-3110	189	4	)	)	PUNCT
cana-3110	189	5	410	410	NUM
cana-3110	189	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3110	189	7	figure	figure	NOUN
cana-3110	189	8	3	3	NUM
cana-3110	189	9	–	–	PUNCT
cana-3110	189	10	comparable	comparable	ADJ
cana-3110	189	11	knee	knee	NOUN
cana-3110	189	12	x	x	NOUN
cana-3110	189	13	-	-	NOUN
cana-3110	189	14	ray	ray	NOUN
cana-3110	189	15	pictures	picture	NOUN
cana-3110	189	16	that	that	PRON
cana-3110	189	17	show	show	VERB
cana-3110	189	18	minimal	minimal	ADJ
cana-3110	189	19	knee	knee	NOUN
cana-3110	189	20	osteoarthritis	osteoarthritis	NOUN
cana-3110	189	21	(	(	PUNCT
cana-3110	189	22	grade	grade	NOUN
cana-3110	189	23	2	2	NUM
cana-3110	189	24	)	)	PUNCT
cana-3110	189	25	.	.	PUNCT
cana-3110	190	1	figure	figure	NOUN
cana-3110	190	2	4	4	NUM
cana-3110	190	3	illustrates	illustrate	VERB
cana-3110	190	4	the	the	DET
cana-3110	190	5	effects	effect	NOUN
cana-3110	190	6	of	of	ADP
cana-3110	190	7	cutting	cut	VERB
cana-3110	190	8	off	off	ADP
cana-3110	190	9	the	the	DET
cana-3110	190	10	top	top	NOUN
cana-3110	190	11	and	and	CCONJ
cana-3110	190	12	bottom	bottom	NOUN
cana-3110	190	13	of	of	ADP
cana-3110	190	14	an	an	DET
cana-3110	190	15	image	image	NOUN
cana-3110	190	16	fifty	fifty	NUM
cana-3110	190	17	rows	row	NOUN
cana-3110	190	18	from	from	ADP
cana-3110	190	19	each	each	DET
cana-3110	190	20	side	side	NOUN
cana-3110	190	21	.	.	PUNCT
cana-3110	191	1	we	we	PRON
cana-3110	191	2	call	call	VERB
cana-3110	191	3	this	this	DET
cana-3110	191	4	vertical	vertical	ADJ
cana-3110	191	5	farming	farming	NOUN
cana-3110	191	6	.	.	PUNCT
cana-3110	192	1	while	while	SCONJ
cana-3110	192	2	maintaining	maintain	VERB
cana-3110	192	3	the	the	DET
cana-3110	192	4	knee	knee	NOUN
cana-3110	192	5	joint	joint	ADJ
cana-3110	192	6	region	region	NOUN
cana-3110	192	7	,	,	PUNCT
cana-3110	192	8	this	this	DET
cana-3110	192	9	stage	stage	NOUN
cana-3110	192	10	eliminates	eliminate	VERB
cana-3110	192	11	irrelevant	irrelevant	ADJ
cana-3110	192	12	portions	portion	NOUN
cana-3110	192	13	.	.	PUNCT
cana-3110	193	1	images	image	NOUN
cana-3110	193	2	from	from	ADP
cana-3110	193	3	all	all	DET
cana-3110	193	4	five	five	NUM
cana-3110	193	5	kl	kl	NOUN
cana-3110	193	6	classes	class	NOUN
cana-3110	193	7	show	show	VERB
cana-3110	193	8	that	that	SCONJ
cana-3110	193	9	the	the	DET
cana-3110	193	10	vertical	vertical	ADJ
cana-3110	193	11	cropping	cropping	NOUN
cana-3110	193	12	preserves	preserve	VERB
cana-3110	193	13	the	the	DET
cana-3110	193	14	salient	salient	NOUN
cana-3110	193	15	features	feature	NOUN
cana-3110	193	16	of	of	ADP
cana-3110	193	17	the	the	DET
cana-3110	193	18	roi	roi	NOUN
cana-3110	193	19	without	without	ADP
cana-3110	193	20	distortion	distortion	NOUN
cana-3110	193	21	.	.	PUNCT
cana-3110	194	1	figure	figure	NOUN
cana-3110	194	2	4	4	NUM
cana-3110	194	3	–	–	PUNCT
cana-3110	194	4	comparable	comparable	ADJ
cana-3110	194	5	knee	knee	NOUN
cana-3110	194	6	x	x	NOUN
cana-3110	194	7	-	-	NOUN
cana-3110	194	8	ray	ray	NOUN
cana-3110	194	9	pictures	picture	NOUN
cana-3110	194	10	that	that	PRON
cana-3110	194	11	match	match	VERB
cana-3110	194	12	grade	grade	NOUN
cana-3110	194	13	3	3	NUM
cana-3110	194	14	(	(	PUNCT
cana-3110	194	15	moderate	moderate	ADJ
cana-3110	194	16	class	class	NOUN
cana-3110	194	17	)	)	PUNCT
cana-3110	194	18	.	.	PUNCT
cana-3110	195	1	based	base	VERB
cana-3110	195	2	on	on	ADP
cana-3110	195	3	the	the	DET
cana-3110	195	4	most	most	ADV
cana-3110	195	5	extreme	extreme	ADJ
cana-3110	195	6	non	non	ADJ
cana-3110	195	7	-	-	ADJ
cana-3110	195	8	zero	zero	NUM
cana-3110	195	9	pixels	pixel	NOUN
cana-3110	195	10	in	in	ADP
cana-3110	195	11	the	the	DET
cana-3110	195	12	rows	row	NOUN
cana-3110	195	13	,	,	PUNCT
cana-3110	195	14	figure	figure	VERB
cana-3110	195	15	five	five	NUM
cana-3110	195	16	demonstrates	demonstrate	VERB
cana-3110	195	17	how	how	SCONJ
cana-3110	195	18	to	to	PART
cana-3110	195	19	crop	crop	VERB
cana-3110	195	20	horizontally	horizontally	ADV
cana-3110	195	21	.	.	PUNCT
cana-3110	196	1	this	this	DET
cana-3110	196	2	procedure	procedure	NOUN
cana-3110	196	3	eliminates	eliminate	VERB
cana-3110	196	4	unnecessary	unnecessary	ADJ
cana-3110	196	5	elements	element	NOUN
cana-3110	196	6	on	on	ADP
cana-3110	196	7	the	the	DET
cana-3110	196	8	left	left	ADJ
cana-3110	196	9	and	and	CCONJ
cana-3110	196	10	right	right	ADJ
cana-3110	196	11	sides	side	NOUN
cana-3110	196	12	,	,	PUNCT
cana-3110	196	13	therefore	therefore	ADV
cana-3110	196	14	optimising	optimise	VERB
cana-3110	196	15	the	the	DET
cana-3110	196	16	roi	roi	NOUN
cana-3110	196	17	.	.	PUNCT
cana-3110	197	1	this	this	DET
cana-3110	197	2	one	one	NOUN
cana-3110	197	3	reveals	reveal	VERB
cana-3110	197	4	a	a	DET
cana-3110	197	5	more	more	ADV
cana-3110	197	6	concentrated	concentrated	ADJ
cana-3110	197	7	knee	knee	NOUN
cana-3110	197	8	joint	joint	ADJ
cana-3110	197	9	region	region	NOUN
cana-3110	197	10	than	than	ADP
cana-3110	197	11	the	the	DET
cana-3110	197	12	images	image	NOUN
cana-3110	197	13	cropped	crop	VERB
cana-3110	197	14	vertically	vertically	ADV
cana-3110	197	15	,	,	PUNCT
cana-3110	197	16	so	so	ADV
cana-3110	197	17	improved	improved	ADJ
cana-3110	197	18	feature	feature	NOUN
cana-3110	197	19	extraction	extraction	NOUN
cana-3110	197	20	may	may	AUX
cana-3110	197	21	result	result	VERB
cana-3110	197	22	.	.	PUNCT
cana-3110	198	1	figure	figure	VERB
cana-3110	198	2	5	5	NUM
cana-3110	198	3	–	–	PUNCT
cana-3110	198	4	comparable	comparable	ADJ
cana-3110	198	5	knee	knee	NOUN
cana-3110	198	6	x	x	NOUN
cana-3110	198	7	-	-	NOUN
cana-3110	198	8	ray	ray	NOUN
cana-3110	198	9	pictures	picture	NOUN
cana-3110	198	10	that	that	PRON
cana-3110	198	11	fit	fit	VERB
cana-3110	198	12	the	the	DET
cana-3110	198	13	grade	grade	NOUN
cana-3110	198	14	4	4	NUM
cana-3110	198	15	(	(	PUNCT
cana-3110	198	16	severe	severe	ADJ
cana-3110	198	17	osteoarthritis	osteoarthritis	NOUN
cana-3110	198	18	class	class	NOUN
cana-3110	198	19	)	)	PUNCT
cana-3110	198	20	classification	classification	NOUN
cana-3110	198	21	.	.	PUNCT
cana-3110	199	1	table	table	NOUN
cana-3110	199	2	1	1	NUM
cana-3110	199	3	–	–	PUNCT
cana-3110	199	4	proportion	proportion	NOUN
cana-3110	199	5	of	of	ADP
cana-3110	199	6	the	the	DET
cana-3110	199	7	dataset	dataset	NOUN
cana-3110	199	8	's	's	PART
cana-3110	199	9	kl	kl	NOUN
cana-3110	199	10	-	-	PUNCT
cana-3110	199	11	grade	grade	NOUN
cana-3110	199	12	photos	photo	NOUN
cana-3110	199	13	kl	kl	NOUN
cana-3110	199	14	-	-	ADJ
cana-3110	199	15	grade	grade	NOUN
cana-3110	199	16	osteoarthritis	osteoarthritis	NOUN
cana-3110	199	17	severity	severity	NOUN
cana-3110	199	18	number	number	NOUN
cana-3110	199	19	of	of	ADP
cana-3110	199	20	images	image	NOUN
cana-3110	199	21	(	(	PUNCT
cana-3110	199	22	9786	9786	NUM
cana-3110	199	23	)	)	PUNCT
cana-3110	199	24	%	%	NOUN
cana-3110	199	25	of	of	ADP
cana-3110	199	26	images	image	NOUN
cana-3110	200	1	0	0	NUM
cana-3110	200	2	normal	normal	ADJ
cana-3110	200	3	or	or	CCONJ
cana-3110	200	4	healthy	healthy	ADJ
cana-3110	200	5	3857	3857	NUM
cana-3110	200	6	40	40	NUM
cana-3110	200	7	1	1	NUM
cana-3110	200	8	doubtful	doubtful	ADJ
cana-3110	200	9	1770	1770	NUM
cana-3110	200	10	18	18	NUM
cana-3110	200	11	2	2	NUM
cana-3110	200	12	minimal	minimal	ADJ
cana-3110	200	13	2578	2578	NUM
cana-3110	200	14	26	26	NUM
cana-3110	200	15	3	3	NUM
cana-3110	200	16	moderate	moderate	ADJ
cana-3110	200	17	1286	1286	NUM
cana-3110	200	18	13	13	NUM
cana-3110	200	19	4	4	NUM
cana-3110	200	20	severe	severe	ADJ
cana-3110	200	21	295	295	NUM
cana-3110	200	22	3	3	NUM
cana-3110	200	23	figure	figure	NOUN
cana-3110	200	24	6	6	NUM
cana-3110	200	25	displays	display	NOUN
cana-3110	200	26	the	the	DET
cana-3110	200	27	first	first	ADJ
cana-3110	200	28	methods	method	NOUN
cana-3110	200	29	used	use	VERB
cana-3110	200	30	in	in	ADP
cana-3110	200	31	preparation	preparation	NOUN
cana-3110	200	32	of	of	ADP
cana-3110	200	33	knee	knee	NOUN
cana-3110	200	34	x	x	NOUN
cana-3110	200	35	-	-	NOUN
cana-3110	200	36	ray	ray	NOUN
cana-3110	200	37	images	image	NOUN
cana-3110	200	38	.	.	PUNCT
cana-3110	201	1	it	it	PRON
cana-3110	201	2	demonstrates	demonstrate	VERB
cana-3110	201	3	how	how	SCONJ
cana-3110	201	4	a	a	DET
cana-3110	201	5	split	split	ADJ
cana-3110	201	6	binary	binary	ADJ
cana-3110	201	7	representation	representation	NOUN
cana-3110	201	8	was	be	AUX
cana-3110	201	9	produced	produce	VERB
cana-3110	201	10	from	from	ADP
cana-3110	201	11	the	the	DET
cana-3110	201	12	unprocessed	unprocessed	ADJ
cana-3110	201	13	data	datum	NOUN
cana-3110	201	14	.	.	PUNCT
cana-3110	202	1	called	call	VERB
cana-3110	202	2	the	the	DET
cana-3110	202	3	"	"	PUNCT
cana-3110	202	4	original	original	ADJ
cana-3110	202	5	knee	knee	NOUN
cana-3110	202	6	image	image	NOUN
cana-3110	202	7	,	,	PUNCT
cana-3110	202	8	"	"	PUNCT
cana-3110	202	9	the	the	DET
cana-3110	202	10	first	first	ADJ
cana-3110	202	11	image	image	NOUN
cana-3110	202	12	depicts	depict	VERB
cana-3110	202	13	some	some	PRON
cana-3110	202	14	of	of	ADP
cana-3110	202	15	the	the	DET
cana-3110	202	16	common	common	ADJ
cana-3110	202	17	issues	issue	NOUN
cana-3110	202	18	in	in	ADP
cana-3110	202	19	medical	medical	ADJ
cana-3110	202	20	imaging	imaging	NOUN
cana-3110	202	21	including	include	VERB
cana-3110	202	22	noise	noise	NOUN
cana-3110	202	23	,	,	PUNCT
cana-3110	202	24	poor	poor	ADJ
cana-3110	202	25	communications	communication	NOUN
cana-3110	202	26	on	on	ADP
cana-3110	202	27	applied	apply	VERB
cana-3110	202	28	nonlinear	nonlinear	ADJ
cana-3110	202	29	analysis	analysis	NOUN
cana-3110	202	30	issn	issn	NOUN
cana-3110	202	31	:	:	PUNCT
cana-3110	202	32	1074	1074	NUM
cana-3110	202	33	-	-	PUNCT
cana-3110	202	34	133x	133x	NUM
cana-3110	202	35	vol	vol	NOUN
cana-3110	202	36	32	32	NUM
cana-3110	202	37	no	no	NOUN
cana-3110	202	38	.	.	PUNCT
cana-3110	203	1	5s	5s	NUM
cana-3110	203	2	(	(	PUNCT
cana-3110	203	3	2025	2025	NUM
cana-3110	203	4	)	)	PUNCT
cana-3110	203	5	411	411	NUM
cana-3110	204	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-3110	204	2	contrast	contrast	NOUN
cana-3110	204	3	,	,	PUNCT
cana-3110	204	4	and	and	CCONJ
cana-3110	204	5	unequal	unequal	ADJ
cana-3110	204	6	illumination	illumination	NOUN
cana-3110	204	7	.	.	PUNCT
cana-3110	205	1	these	these	DET
cana-3110	205	2	issues	issue	NOUN
cana-3110	205	3	make	make	VERB
cana-3110	205	4	it	it	PRON
cana-3110	205	5	difficult	difficult	ADJ
cana-3110	205	6	to	to	PART
cana-3110	205	7	locate	locate	VERB
cana-3110	205	8	and	and	CCONJ
cana-3110	205	9	investigate	investigate	VERB
cana-3110	205	10	significant	significant	ADJ
cana-3110	205	11	sites	site	NOUN
cana-3110	205	12	like	like	ADP
cana-3110	205	13	the	the	DET
cana-3110	205	14	knee	knee	NOUN
cana-3110	205	15	joint	joint	ADJ
cana-3110	205	16	gap	gap	NOUN
cana-3110	205	17	.	.	PUNCT
cana-3110	206	1	the	the	DET
cana-3110	206	2	second	second	ADJ
cana-3110	206	3	image	image	NOUN
cana-3110	206	4	,	,	PUNCT
cana-3110	206	5	also	also	ADV
cana-3110	206	6	known	know	VERB
cana-3110	206	7	as	as	ADP
cana-3110	206	8	the	the	DET
cana-3110	206	9	gaussian	gaussian	ADJ
cana-3110	206	10	blurred	blur	VERB
cana-3110	206	11	image	image	NOUN
cana-3110	206	12	,	,	PUNCT
cana-3110	206	13	displays	display	VERB
cana-3110	206	14	the	the	DET
cana-3110	206	15	usage	usage	NOUN
cana-3110	206	16	of	of	ADP
cana-3110	206	17	a	a	DET
cana-3110	206	18	3x3x3	3x3x3	NUM
cana-3110	206	19	kernel	kernel	NOUN
cana-3110	206	20	gaussian	gaussian	NOUN
cana-3110	206	21	smoothing	smooth	VERB
cana-3110	206	22	filter	filter	NOUN
cana-3110	206	23	.	.	PUNCT
cana-3110	207	1	this	this	DET
cana-3110	207	2	stage	stage	NOUN
cana-3110	207	3	removes	remove	VERB
cana-3110	207	4	noise	noise	NOUN
cana-3110	207	5	while	while	SCONJ
cana-3110	207	6	maintaining	maintain	VERB
cana-3110	207	7	the	the	DET
cana-3110	207	8	knee	knee	NOUN
cana-3110	207	9	's	's	PART
cana-3110	207	10	key	key	ADJ
cana-3110	207	11	structure	structure	NOUN
cana-3110	207	12	's	's	PART
cana-3110	207	13	margins	margin	NOUN
cana-3110	207	14	intact	intact	ADJ
cana-3110	207	15	.	.	PUNCT
cana-3110	208	1	this	this	PRON
cana-3110	208	2	prepares	prepare	VERB
cana-3110	208	3	the	the	DET
cana-3110	208	4	image	image	NOUN
cana-3110	208	5	for	for	ADP
cana-3110	208	6	further	further	ADJ
cana-3110	208	7	development	development	NOUN
cana-3110	208	8	.	.	PUNCT
cana-3110	209	1	when	when	SCONJ
cana-3110	209	2	it	it	PRON
cana-3110	209	3	comes	come	VERB
cana-3110	209	4	to	to	ADP
cana-3110	209	5	medical	medical	ADJ
cana-3110	209	6	images	image	NOUN
cana-3110	209	7	,	,	PUNCT
cana-3110	209	8	where	where	SCONJ
cana-3110	209	9	noise	noise	NOUN
cana-3110	209	10	might	might	AUX
cana-3110	209	11	obscure	obscure	VERB
cana-3110	209	12	crucial	crucial	ADJ
cana-3110	209	13	diagnostic	diagnostic	ADJ
cana-3110	209	14	features	feature	NOUN
cana-3110	209	15	,	,	PUNCT
cana-3110	209	16	smoothing	smooth	VERB
cana-3110	209	17	performs	perform	VERB
cana-3110	209	18	exceptionally	exceptionally	ADV
cana-3110	209	19	well	well	ADV
cana-3110	209	20	.	.	PUNCT
cana-3110	210	1	comprising	comprise	VERB
cana-3110	210	2	the	the	DET
cana-3110	210	3	smoothed	smooth	VERB
cana-3110	210	4	image	image	NOUN
cana-3110	210	5	,	,	PUNCT
cana-3110	210	6	the	the	DET
cana-3110	210	7	binary	binary	ADJ
cana-3110	210	8	thresholded	thresholde	VERB
cana-3110	210	9	image	image	NOUN
cana-3110	210	10	in	in	ADP
cana-3110	210	11	this	this	DET
cana-3110	210	12	collection	collection	NOUN
cana-3110	210	13	converts	convert	VERB
cana-3110	210	14	it	it	PRON
cana-3110	210	15	into	into	ADP
cana-3110	210	16	a	a	DET
cana-3110	210	17	binary	binary	ADJ
cana-3110	210	18	form	form	NOUN
cana-3110	210	19	.	.	PUNCT
cana-3110	211	1	the	the	DET
cana-3110	211	2	specified	specify	VERB
cana-3110	211	3	cutoff	cutoff	NOUN
cana-3110	211	4	number	number	NOUN
cana-3110	211	5	of	of	ADP
cana-3110	211	6	80	80	NUM
cana-3110	211	7	is	be	AUX
cana-3110	211	8	between	between	ADP
cana-3110	211	9	the	the	DET
cana-3110	211	10	background	background	NOUN
cana-3110	211	11	(	(	PUNCT
cana-3110	211	12	soft	soft	ADJ
cana-3110	211	13	tissues	tissue	NOUN
cana-3110	211	14	,	,	PUNCT
cana-3110	211	15	depicted	depict	VERB
cana-3110	211	16	in	in	ADP
cana-3110	211	17	black	black	NOUN
cana-3110	211	18	)	)	PUNCT
cana-3110	211	19	and	and	CCONJ
cana-3110	211	20	the	the	DET
cana-3110	211	21	middle	middle	ADJ
cana-3110	211	22	(	(	PUNCT
cana-3110	211	23	hard	hard	ADJ
cana-3110	211	24	tissues	tissue	NOUN
cana-3110	211	25	,	,	PUNCT
cana-3110	211	26	shown	show	VERB
cana-3110	211	27	in	in	ADP
cana-3110	211	28	white	white	ADJ
cana-3110	211	29	)	)	PUNCT
cana-3110	211	30	.	.	PUNCT
cana-3110	212	1	separating	separate	VERB
cana-3110	212	2	the	the	DET
cana-3110	212	3	area	area	NOUN
cana-3110	212	4	of	of	ADP
cana-3110	212	5	interest	interest	NOUN
cana-3110	212	6	(	(	PUNCT
cana-3110	212	7	roi	roi	NOUN
cana-3110	212	8	)	)	PUNCT
cana-3110	212	9	from	from	ADP
cana-3110	212	10	irrelevant	irrelevant	ADJ
cana-3110	212	11	portions	portion	NOUN
cana-3110	212	12	of	of	ADP
cana-3110	212	13	the	the	DET
cana-3110	212	14	image	image	NOUN
cana-3110	212	15	depends	depend	VERB
cana-3110	212	16	critically	critically	ADV
cana-3110	212	17	on	on	ADP
cana-3110	212	18	this	this	DET
cana-3110	212	19	stage	stage	NOUN
cana-3110	212	20	.	.	PUNCT
cana-3110	213	1	this	this	DET
cana-3110	213	2	stage	stage	NOUN
cana-3110	213	3	allows	allow	VERB
cana-3110	213	4	accurate	accurate	ADJ
cana-3110	213	5	roi	roi	NOUN
cana-3110	213	6	extraction	extraction	NOUN
cana-3110	213	7	and	and	CCONJ
cana-3110	213	8	classification	classification	NOUN
cana-3110	213	9	to	to	PART
cana-3110	213	10	follow	follow	VERB
cana-3110	213	11	by	by	ADP
cana-3110	213	12	separating	separate	VERB
cana-3110	213	13	the	the	DET
cana-3110	213	14	image	image	NOUN
cana-3110	213	15	into	into	ADP
cana-3110	213	16	logical	logical	ADJ
cana-3110	213	17	sections	section	NOUN
cana-3110	213	18	.	.	PUNCT
cana-3110	214	1	figure	figure	VERB
cana-3110	214	2	6	6	NUM
cana-3110	214	3	–	–	PUNCT
cana-3110	214	4	the	the	DET
cana-3110	214	5	gaussian	gaussian	ADJ
cana-3110	214	6	blurred	blurred	ADJ
cana-3110	214	7	result	result	NOUN
cana-3110	214	8	,	,	PUNCT
cana-3110	214	9	the	the	DET
cana-3110	214	10	thresholded	thresholde	VERB
cana-3110	214	11	image	image	NOUN
cana-3110	214	12	,	,	PUNCT
cana-3110	214	13	and	and	CCONJ
cana-3110	214	14	the	the	DET
cana-3110	214	15	original	original	ADJ
cana-3110	214	16	knee	knee	NOUN
cana-3110	214	17	image	image	NOUN
cana-3110	214	18	.	.	PUNCT
cana-3110	215	1	an	an	DET
cana-3110	215	2	essential	essential	ADJ
cana-3110	215	3	first	first	ADJ
cana-3110	215	4	step	step	NOUN
cana-3110	215	5	in	in	ADP
cana-3110	215	6	isolating	isolate	VERB
cana-3110	215	7	the	the	DET
cana-3110	215	8	area	area	NOUN
cana-3110	215	9	of	of	ADP
cana-3110	215	10	interest	interest	NOUN
cana-3110	215	11	(	(	PUNCT
cana-3110	215	12	roi	roi	NOUN
cana-3110	215	13	)	)	PUNCT
cana-3110	215	14	from	from	ADP
cana-3110	215	15	the	the	DET
cana-3110	215	16	knee	knee	NOUN
cana-3110	215	17	x	x	NOUN
cana-3110	215	18	-	-	NOUN
cana-3110	215	19	ray	ray	NOUN
cana-3110	215	20	is	be	AUX
cana-3110	215	21	shown	show	VERB
cana-3110	215	22	in	in	ADP
cana-3110	215	23	figure	figure	NOUN
cana-3110	215	24	7	7	NUM
cana-3110	215	25	on	on	ADP
cana-3110	215	26	the	the	DET
cana-3110	215	27	mask	mask	NOUN
cana-3110	215	28	image	image	NOUN
cana-3110	215	29	creation	creation	NOUN
cana-3110	215	30	.	.	PUNCT
cana-3110	216	1	the	the	DET
cana-3110	216	2	mask	mask	NOUN
cana-3110	216	3	arises	arise	VERB
cana-3110	216	4	from	from	ADP
cana-3110	216	5	multiplying	multiply	VERB
cana-3110	216	6	the	the	DET
cana-3110	216	7	binary	binary	ADJ
cana-3110	216	8	thresholded	thresholde	VERB
cana-3110	216	9	picture	picture	NOUN
cana-3110	216	10	(	(	PUNCT
cana-3110	216	11	from	from	ADP
cana-3110	216	12	figure	figure	NOUN
cana-3110	216	13	2	2	NUM
cana-3110	216	14	)	)	PUNCT
cana-3110	216	15	by	by	ADP
cana-3110	216	16	the	the	DET
cana-3110	216	17	original	original	ADJ
cana-3110	216	18	knee	knee	NOUN
cana-3110	216	19	x	x	NOUN
cana-3110	216	20	-	-	NOUN
cana-3110	216	21	ray	ray	NOUN
cana-3110	216	22	image	image	NOUN
cana-3110	216	23	.	.	PUNCT
cana-3110	217	1	this	this	DET
cana-3110	217	2	mechanism	mechanism	NOUN
cana-3110	217	3	guarantees	guarantee	VERB
cana-3110	217	4	that	that	SCONJ
cana-3110	217	5	any	any	DET
cana-3110	217	6	background	background	NOUN
cana-3110	217	7	regions	region	NOUN
cana-3110	217	8	not	not	PART
cana-3110	217	9	required	require	VERB
cana-3110	217	10	are	be	AUX
cana-3110	217	11	eliminated	eliminate	VERB
cana-3110	217	12	and	and	CCONJ
cana-3110	217	13	that	that	SCONJ
cana-3110	217	14	just	just	ADV
cana-3110	217	15	the	the	DET
cana-3110	217	16	knee	knee	NOUN
cana-3110	217	17	joint	joint	ADJ
cana-3110	217	18	area	area	NOUN
cana-3110	217	19	is	be	AUX
cana-3110	217	20	maintained	maintain	VERB
cana-3110	217	21	.	.	PUNCT
cana-3110	218	1	while	while	SCONJ
cana-3110	218	2	eliminating	eliminate	VERB
cana-3110	218	3	noise	noise	NOUN
cana-3110	218	4	and	and	CCONJ
cana-3110	218	5	soft	soft	ADJ
cana-3110	218	6	tissues	tissue	NOUN
cana-3110	218	7	not	not	PART
cana-3110	218	8	required	require	VERB
cana-3110	218	9	for	for	ADP
cana-3110	218	10	diagnosis	diagnosis	NOUN
cana-3110	218	11	,	,	PUNCT
cana-3110	218	12	the	the	DET
cana-3110	218	13	last	last	ADJ
cana-3110	218	14	image	image	NOUN
cana-3110	218	15	clearly	clearly	ADV
cana-3110	218	16	exposes	expose	VERB
cana-3110	218	17	the	the	DET
cana-3110	218	18	hard	hard	ADJ
cana-3110	218	19	components	component	NOUN
cana-3110	218	20	of	of	ADP
cana-3110	218	21	the	the	DET
cana-3110	218	22	knee	knee	NOUN
cana-3110	218	23	—	—	PUNCT
cana-3110	218	24	that	that	PRON
cana-3110	218	25	of	of	ADP
cana-3110	218	26	the	the	DET
cana-3110	218	27	upper	upper	ADJ
cana-3110	218	28	and	and	CCONJ
cana-3110	218	29	lower	low	ADJ
cana-3110	218	30	bones	bone	NOUN
cana-3110	218	31	.	.	PUNCT
cana-3110	219	1	protecting	protect	VERB
cana-3110	219	2	crucial	crucial	ADJ
cana-3110	219	3	diagnostic	diagnostic	ADJ
cana-3110	219	4	characteristics	characteristic	NOUN
cana-3110	219	5	such	such	DET
cana-3110	219	6	the	the	DET
cana-3110	219	7	joint	joint	ADJ
cana-3110	219	8	gap	gap	NOUN
cana-3110	219	9	and	and	CCONJ
cana-3110	219	10	hard	hard	ADJ
cana-3110	219	11	tissues	tissue	NOUN
cana-3110	219	12	surrounding	surround	VERB
cana-3110	219	13	the	the	DET
cana-3110	219	14	knee	knee	NOUN
cana-3110	219	15	joint	joint	NOUN
cana-3110	219	16	,	,	PUNCT
cana-3110	219	17	the	the	DET
cana-3110	219	18	mask	mask	NOUN
cana-3110	219	19	narrows	narrow	VERB
cana-3110	219	20	the	the	DET
cana-3110	219	21	view	view	NOUN
cana-3110	219	22	to	to	ADP
cana-3110	219	23	just	just	ADV
cana-3110	219	24	that	that	PRON
cana-3110	219	25	.	.	PUNCT
cana-3110	220	1	the	the	DET
cana-3110	220	2	following	follow	VERB
cana-3110	220	3	duties	duty	NOUN
cana-3110	220	4	of	of	ADP
cana-3110	220	5	feature	feature	NOUN
cana-3110	220	6	extraction	extraction	NOUN
cana-3110	220	7	and	and	CCONJ
cana-3110	220	8	categorisation	categorisation	NOUN
cana-3110	220	9	depend	depend	VERB
cana-3110	220	10	much	much	ADV
cana-3110	220	11	on	on	ADP
cana-3110	220	12	this	this	DET
cana-3110	220	13	stage	stage	NOUN
cana-3110	220	14	.	.	PUNCT
cana-3110	221	1	focussing	focusse	VERB
cana-3110	221	2	only	only	ADV
cana-3110	221	3	on	on	ADP
cana-3110	221	4	the	the	DET
cana-3110	221	5	knee	knee	NOUN
cana-3110	221	6	joint	joint	ADJ
cana-3110	221	7	region	region	NOUN
cana-3110	221	8	helps	help	VERB
cana-3110	221	9	the	the	DET
cana-3110	221	10	x	x	NOUN
cana-3110	221	11	-	-	NOUN
cana-3110	221	12	ray	ray	NOUN
cana-3110	221	13	to	to	PART
cana-3110	221	14	be	be	AUX
cana-3110	221	15	less	less	ADV
cana-3110	221	16	complex	complex	ADJ
cana-3110	221	17	by	by	ADP
cana-3110	221	18	the	the	DET
cana-3110	221	19	mask	mask	NOUN
cana-3110	221	20	image	image	NOUN
cana-3110	221	21	.	.	PUNCT
cana-3110	222	1	this	this	PRON
cana-3110	222	2	helps	help	VERB
cana-3110	222	3	one	one	NUM
cana-3110	222	4	to	to	PART
cana-3110	222	5	clearly	clearly	ADV
cana-3110	222	6	perceive	perceive	VERB
cana-3110	222	7	significant	significant	ADJ
cana-3110	222	8	elements	element	NOUN
cana-3110	222	9	.	.	PUNCT
cana-3110	223	1	this	this	DET
cana-3110	223	2	level	level	NOUN
cana-3110	223	3	of	of	ADP
cana-3110	223	4	precision	precision	NOUN
cana-3110	223	5	is	be	AUX
cana-3110	223	6	really	really	ADV
cana-3110	223	7	crucial	crucial	ADJ
cana-3110	223	8	when	when	SCONJ
cana-3110	223	9	grading	grade	VERB
cana-3110	223	10	osteoarthritis	osteoarthritis	NOUN
cana-3110	223	11	using	use	VERB
cana-3110	223	12	the	the	DET
cana-3110	223	13	kellgren	kellgren	NOUN
cana-3110	223	14	and	and	CCONJ
cana-3110	223	15	lawrence	lawrence	PROPN
cana-3110	223	16	approach	approach	NOUN
cana-3110	223	17	.	.	PUNCT
cana-3110	224	1	figure	figure	NOUN
cana-3110	224	2	3	3	NUM
cana-3110	224	3	demonstrates	demonstrate	VERB
cana-3110	224	4	how	how	SCONJ
cana-3110	224	5	the	the	DET
cana-3110	224	6	proposed	propose	VERB
cana-3110	224	7	framework	framework	NOUN
cana-3110	224	8	ensures	ensure	VERB
cana-3110	224	9	that	that	SCONJ
cana-3110	224	10	the	the	DET
cana-3110	224	11	recovered	recovered	ADJ
cana-3110	224	12	roi	roi	NOUN
cana-3110	224	13	is	be	AUX
cana-3110	224	14	accurate	accurate	ADJ
cana-3110	224	15	and	and	CCONJ
cana-3110	224	16	valuable	valuable	ADJ
cana-3110	224	17	for	for	ADP
cana-3110	224	18	diagnosis	diagnosis	NOUN
cana-3110	224	19	as	as	ADV
cana-3110	224	20	well	well	ADV
cana-3110	224	21	as	as	ADP
cana-3110	224	22	getting	get	VERB
cana-3110	224	23	the	the	DET
cana-3110	224	24	image	image	NOUN
cana-3110	224	25	ready	ready	ADJ
cana-3110	224	26	for	for	ADP
cana-3110	224	27	further	further	ADJ
cana-3110	224	28	segmentation	segmentation	NOUN
cana-3110	224	29	.	.	PUNCT
cana-3110	225	1	figure	figure	VERB
cana-3110	225	2	7	7	NUM
cana-3110	225	3	–	–	PUNCT
cana-3110	225	4	the	the	DET
cana-3110	225	5	region	region	NOUN
cana-3110	225	6	of	of	ADP
cana-3110	225	7	interest	interest	NOUN
cana-3110	225	8	around	around	ADP
cana-3110	225	9	the	the	DET
cana-3110	225	10	knee	knee	NOUN
cana-3110	225	11	or	or	CCONJ
cana-3110	225	12	the	the	DET
cana-3110	225	13	mask	mask	NOUN
cana-3110	225	14	picture	picture	NOUN
cana-3110	225	15	.	.	PUNCT
cana-3110	226	1	communications	communication	NOUN
cana-3110	226	2	on	on	ADP
cana-3110	226	3	applied	apply	VERB
cana-3110	226	4	nonlinear	nonlinear	ADJ
cana-3110	226	5	analysis	analysis	NOUN
cana-3110	226	6	issn	issn	NOUN
cana-3110	226	7	:	:	PUNCT
cana-3110	226	8	1074	1074	NUM
cana-3110	226	9	-	-	PUNCT
cana-3110	226	10	133x	133x	NUM
cana-3110	226	11	vol	vol	NOUN
cana-3110	226	12	32	32	NUM
cana-3110	226	13	no	no	NOUN
cana-3110	226	14	.	.	PUNCT
cana-3110	227	1	5s	5s	NUM
cana-3110	227	2	(	(	PUNCT
cana-3110	227	3	2025	2025	NUM
cana-3110	227	4	)	)	PUNCT
cana-3110	227	5	412	412	NUM
cana-3110	227	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3110	228	1	the	the	DET
cana-3110	228	2	vertical	vertical	ADJ
cana-3110	228	3	cropping	cropping	NOUN
cana-3110	228	4	operation	operation	NOUN
cana-3110	228	5	removes	remove	VERB
cana-3110	228	6	extraneous	extraneous	ADJ
cana-3110	228	7	elements	element	NOUN
cana-3110	228	8	of	of	ADP
cana-3110	228	9	knee	knee	NOUN
cana-3110	228	10	x	x	NOUN
cana-3110	228	11	-	-	NOUN
cana-3110	228	12	ray	ray	NOUN
cana-3110	228	13	images	image	NOUN
cana-3110	228	14	to	to	PART
cana-3110	228	15	provide	provide	VERB
cana-3110	228	16	a	a	DET
cana-3110	228	17	more	more	ADV
cana-3110	228	18	exact	exact	ADJ
cana-3110	228	19	area	area	NOUN
cana-3110	228	20	of	of	ADP
cana-3110	228	21	interest	interest	NOUN
cana-3110	228	22	(	(	PUNCT
cana-3110	228	23	roi	roi	NOUN
cana-3110	228	24	)	)	PUNCT
cana-3110	228	25	,	,	PUNCT
cana-3110	228	26	shown	show	VERB
cana-3110	228	27	in	in	ADP
cana-3110	228	28	figure	figure	NOUN
cana-3110	228	29	8	8	NUM
cana-3110	228	30	.	.	PUNCT
cana-3110	228	31	from	from	ADP
cana-3110	228	32	class	class	NOUN
cana-3110	228	33	0	0	NUM
cana-3110	228	34	to	to	ADP
cana-3110	228	35	class	class	NOUN
cana-3110	228	36	4	4	NUM
cana-3110	228	37	,	,	PUNCT
cana-3110	228	38	every	every	DET
cana-3110	228	39	row	row	NOUN
cana-3110	228	40	in	in	ADP
cana-3110	228	41	the	the	DET
cana-3110	228	42	illustration	illustration	NOUN
cana-3110	228	43	displays	display	VERB
cana-3110	228	44	images	image	NOUN
cana-3110	228	45	complementing	complement	VERB
cana-3110	228	46	one	one	NUM
cana-3110	228	47	of	of	ADP
cana-3110	228	48	the	the	DET
cana-3110	228	49	five	five	NUM
cana-3110	228	50	kellgren	kellgren	NOUN
cana-3110	228	51	and	and	CCONJ
cana-3110	228	52	lawrence	lawrence	PROPN
cana-3110	228	53	grades	grade	NOUN
cana-3110	228	54	from	from	ADP
cana-3110	228	55	left	left	ADJ
cana-3110	228	56	to	to	ADP
cana-3110	228	57	right	right	NOUN
cana-3110	228	58	.	.	PUNCT
cana-3110	229	1	the	the	DET
cana-3110	229	2	top	top	ADJ
cana-3110	229	3	and	and	CCONJ
cana-3110	229	4	bottom	bottom	ADJ
cana-3110	229	5	50	50	NUM
cana-3110	229	6	rows	row	NOUN
cana-3110	229	7	of	of	ADP
cana-3110	229	8	every	every	DET
cana-3110	229	9	picture	picture	NOUN
cana-3110	229	10	are	be	AUX
cana-3110	229	11	cropped	crop	VERB
cana-3110	229	12	to	to	PART
cana-3110	229	13	exclude	exclude	VERB
cana-3110	229	14	elements	element	NOUN
cana-3110	229	15	like	like	ADP
cana-3110	229	16	the	the	DET
cana-3110	229	17	upper	upper	ADJ
cana-3110	229	18	thigh	thigh	NOUN
cana-3110	229	19	and	and	CCONJ
cana-3110	229	20	lower	low	ADJ
cana-3110	229	21	shin	shin	NOUN
cana-3110	229	22	that	that	PRON
cana-3110	229	23	would	would	AUX
cana-3110	229	24	not	not	PART
cana-3110	229	25	display	display	VERB
cana-3110	229	26	anything	anything	PRON
cana-3110	229	27	significant	significant	ADJ
cana-3110	229	28	for	for	ADP
cana-3110	229	29	diagnosis	diagnosis	NOUN
cana-3110	229	30	.	.	PUNCT
cana-3110	230	1	correctly	correctly	ADV
cana-3110	230	2	assessing	assess	VERB
cana-3110	230	3	the	the	DET
cana-3110	230	4	severity	severity	NOUN
cana-3110	230	5	of	of	ADP
cana-3110	230	6	osteoarthritis	osteoarthritis	NOUN
cana-3110	230	7	depends	depend	VERB
cana-3110	230	8	on	on	ADP
cana-3110	230	9	the	the	DET
cana-3110	230	10	photo	photo	NOUN
cana-3110	230	11	showing	show	VERB
cana-3110	230	12	the	the	DET
cana-3110	230	13	middle	middle	ADJ
cana-3110	230	14	section	section	NOUN
cana-3110	230	15	of	of	ADP
cana-3110	230	16	the	the	DET
cana-3110	230	17	knee	knee	NOUN
cana-3110	230	18	joint	joint	NOUN
cana-3110	230	19	,	,	PUNCT
cana-3110	230	20	which	which	PRON
cana-3110	230	21	this	this	DET
cana-3110	230	22	cropping	cropping	NOUN
cana-3110	230	23	technique	technique	NOUN
cana-3110	230	24	guarantees	guarantee	NOUN
cana-3110	230	25	.	.	PUNCT
cana-3110	231	1	eliminating	eliminate	VERB
cana-3110	231	2	unnecessary	unnecessary	ADJ
cana-3110	231	3	elements	element	NOUN
cana-3110	231	4	helps	help	VERB
cana-3110	231	5	the	the	DET
cana-3110	231	6	cropped	crop	VERB
cana-3110	231	7	images	image	NOUN
cana-3110	231	8	highlight	highlight	VERB
cana-3110	231	9	the	the	DET
cana-3110	231	10	variations	variation	NOUN
cana-3110	231	11	between	between	ADP
cana-3110	231	12	the	the	DET
cana-3110	231	13	upper	upper	ADJ
cana-3110	231	14	and	and	CCONJ
cana-3110	231	15	lower	low	ADJ
cana-3110	231	16	knee	knee	NOUN
cana-3110	231	17	bones	bone	NOUN
cana-3110	231	18	as	as	ADV
cana-3110	231	19	well	well	ADV
cana-3110	231	20	as	as	ADP
cana-3110	231	21	other	other	ADJ
cana-3110	231	22	crucial	crucial	ADJ
cana-3110	231	23	elements	element	NOUN
cana-3110	231	24	such	such	DET
cana-3110	231	25	the	the	DET
cana-3110	231	26	bone	bone	NOUN
cana-3110	231	27	structure	structure	NOUN
cana-3110	231	28	and	and	CCONJ
cana-3110	231	29	feel	feel	VERB
cana-3110	231	30	.	.	PUNCT
cana-3110	232	1	this	this	DET
cana-3110	232	2	development	development	NOUN
cana-3110	232	3	simplifies	simplify	VERB
cana-3110	232	4	the	the	DET
cana-3110	232	5	computation	computation	NOUN
cana-3110	232	6	of	of	ADP
cana-3110	232	7	the	the	DET
cana-3110	232	8	future	future	ADJ
cana-3110	232	9	phases	phase	NOUN
cana-3110	232	10	of	of	ADP
cana-3110	232	11	the	the	DET
cana-3110	232	12	study	study	NOUN
cana-3110	232	13	and	and	CCONJ
cana-3110	232	14	increases	increase	VERB
cana-3110	232	15	the	the	DET
cana-3110	232	16	accuracy	accuracy	NOUN
cana-3110	232	17	of	of	ADP
cana-3110	232	18	feature	feature	NOUN
cana-3110	232	19	extraction	extraction	NOUN
cana-3110	232	20	.	.	PUNCT
cana-3110	233	1	figure	figure	NOUN
cana-3110	233	2	4	4	NUM
cana-3110	233	3	indicates	indicate	VERB
cana-3110	233	4	that	that	SCONJ
cana-3110	233	5	,	,	PUNCT
cana-3110	233	6	over	over	ADP
cana-3110	233	7	all	all	DET
cana-3110	233	8	degrees	degree	NOUN
cana-3110	233	9	of	of	ADP
cana-3110	233	10	osteoarthritis	osteoarthritis	NOUN
cana-3110	233	11	severity	severity	NOUN
cana-3110	233	12	,	,	PUNCT
cana-3110	233	13	the	the	DET
cana-3110	233	14	cutting	cut	VERB
cana-3110	233	15	procedure	procedure	NOUN
cana-3110	233	16	performs	perform	VERB
cana-3110	233	17	regularly	regularly	ADV
cana-3110	233	18	and	and	CCONJ
cana-3110	233	19	effectively	effectively	ADV
cana-3110	233	20	,	,	PUNCT
cana-3110	233	21	maintaining	maintain	VERB
cana-3110	233	22	the	the	DET
cana-3110	233	23	complete	complete	ADJ
cana-3110	233	24	roi	roi	NOUN
cana-3110	233	25	while	while	SCONJ
cana-3110	233	26	eliminating	eliminate	VERB
cana-3110	233	27	noise	noise	NOUN
cana-3110	233	28	and	and	CCONJ
cana-3110	233	29	pointless	pointless	ADJ
cana-3110	233	30	regions	region	NOUN
cana-3110	233	31	.	.	PUNCT
cana-3110	234	1	the	the	DET
cana-3110	234	2	proposed	propose	VERB
cana-3110	234	3	system	system	NOUN
cana-3110	234	4	depends	depend	VERB
cana-3110	234	5	on	on	ADP
cana-3110	234	6	this	this	DET
cana-3110	234	7	stage	stage	NOUN
cana-3110	234	8	to	to	PART
cana-3110	234	9	be	be	AUX
cana-3110	234	10	able	able	ADJ
cana-3110	234	11	to	to	PART
cana-3110	234	12	provide	provide	VERB
cana-3110	234	13	x	x	NOUN
cana-3110	234	14	-	-	NOUN
cana-3110	234	15	ray	ray	NOUN
cana-3110	234	16	images	image	NOUN
cana-3110	234	17	suited	suit	VERB
cana-3110	234	18	for	for	ADP
cana-3110	234	19	uses	use	NOUN
cana-3110	234	20	like	like	ADP
cana-3110	234	21	diagnosis	diagnosis	NOUN
cana-3110	234	22	and	and	CCONJ
cana-3110	234	23	classification	classification	NOUN
cana-3110	234	24	.	.	PUNCT
cana-3110	235	1	figure	figure	NOUN
cana-3110	235	2	8	8	NUM
cana-3110	235	3	–	–	PUNCT
cana-3110	235	4	the	the	DET
cana-3110	235	5	outcome	outcome	NOUN
cana-3110	235	6	of	of	ADP
cana-3110	235	7	the	the	DET
cana-3110	235	8	cropping	cropping	NOUN
cana-3110	235	9	process	process	NOUN
cana-3110	235	10	.	.	PUNCT
cana-3110	236	1	the	the	DET
cana-3110	236	2	area	area	NOUN
cana-3110	236	3	of	of	ADP
cana-3110	236	4	interest	interest	NOUN
cana-3110	236	5	is	be	AUX
cana-3110	236	6	visible	visible	ADJ
cana-3110	236	7	in	in	ADP
cana-3110	236	8	every	every	DET
cana-3110	236	9	photograph	photograph	NOUN
cana-3110	236	10	.	.	PUNCT
cana-3110	237	1	from	from	ADP
cana-3110	237	2	left	left	ADJ
cana-3110	237	3	to	to	ADP
cana-3110	237	4	right	right	NOUN
cana-3110	237	5	,	,	PUNCT
cana-3110	237	6	images	image	NOUN
cana-3110	237	7	are	be	AUX
cana-3110	237	8	chosen	choose	VERB
cana-3110	237	9	from	from	ADP
cana-3110	237	10	each	each	DET
cana-3110	237	11	class	class	NOUN
cana-3110	237	12	(	(	PUNCT
cana-3110	237	13	class	class	NOUN
cana-3110	237	14	0	0	NUM
cana-3110	237	15	to	to	ADP
cana-3110	237	16	class	class	NOUN
cana-3110	237	17	4	4	NUM
cana-3110	237	18	)	)	PUNCT
cana-3110	237	19	in	in	ADP
cana-3110	237	20	order	order	NOUN
cana-3110	237	21	.	.	PUNCT
cana-3110	238	1	figure	figure	NOUN
cana-3110	238	2	9	9	NUM
cana-3110	238	3	–	–	PUNCT
cana-3110	238	4	the	the	DET
cana-3110	238	5	most	most	ADV
cana-3110	238	6	extreme	extreme	ADJ
cana-3110	238	7	locations	location	NOUN
cana-3110	238	8	were	be	AUX
cana-3110	238	9	used	use	VERB
cana-3110	238	10	to	to	PART
cana-3110	238	11	crop	crop	VERB
cana-3110	238	12	the	the	DET
cana-3110	238	13	image	image	NOUN
cana-3110	238	14	horizontally	horizontally	ADV
cana-3110	238	15	.	.	PUNCT
cana-3110	239	1	image	image	NOUN
cana-3110	239	2	resized	resize	VERB
cana-3110	239	3	(	(	PUNCT
cana-3110	239	4	128x128	128x128	NUM
cana-3110	239	5	)	)	PUNCT
cana-3110	239	6	.	.	PUNCT
cana-3110	240	1	figure	figure	NOUN
cana-3110	240	2	9	9	NUM
cana-3110	240	3	illustrates	illustrate	VERB
cana-3110	240	4	the	the	DET
cana-3110	240	5	crucial	crucial	ADJ
cana-3110	240	6	area	area	NOUN
cana-3110	240	7	separating	separate	VERB
cana-3110	240	8	the	the	DET
cana-3110	240	9	lower	low	ADJ
cana-3110	240	10	from	from	ADP
cana-3110	240	11	the	the	DET
cana-3110	240	12	higher	high	ADJ
cana-3110	240	13	knee	knee	NOUN
cana-3110	240	14	bones	bone	NOUN
cana-3110	240	15	.	.	PUNCT
cana-3110	241	1	very	very	ADV
cana-3110	241	2	crucial	crucial	ADJ
cana-3110	241	3	for	for	ADP
cana-3110	241	4	kl	kl	NOUN
cana-3110	241	5	grades	grade	NOUN
cana-3110	241	6	,	,	PUNCT
cana-3110	241	7	a	a	DET
cana-3110	241	8	circle	circle	NOUN
cana-3110	241	9	around	around	ADP
cana-3110	241	10	the	the	DET
cana-3110	241	11	strong	strong	ADJ
cana-3110	241	12	valley	valley	NOUN
cana-3110	241	13	(	(	PUNCT
cana-3110	241	14	sv	sv	PROPN
cana-3110	241	15	)	)	PUNCT
cana-3110	241	16	indicates	indicate	VERB
cana-3110	241	17	where	where	SCONJ
cana-3110	241	18	the	the	DET
cana-3110	241	19	strength	strength	NOUN
cana-3110	241	20	is	be	AUX
cana-3110	241	21	lowest	low	ADJ
cana-3110	241	22	in	in	ADP
cana-3110	241	23	the	the	DET
cana-3110	241	24	gap	gap	NOUN
cana-3110	241	25	.	.	PUNCT
cana-3110	242	1	this	this	DET
cana-3110	242	2	graph	graph	NOUN
cana-3110	242	3	illustrates	illustrate	VERB
cana-3110	242	4	how	how	SCONJ
cana-3110	242	5	effectively	effectively	ADV
cana-3110	242	6	statistical	statistical	ADJ
cana-3110	242	7	analysis	analysis	NOUN
cana-3110	242	8	finds	find	VERB
cana-3110	242	9	significant	significant	ADJ
cana-3110	242	10	roi	roi	NOUN
cana-3110	242	11	characteristics	characteristic	NOUN
cana-3110	242	12	.	.	PUNCT
cana-3110	243	1	communications	communication	NOUN
cana-3110	243	2	on	on	ADP
cana-3110	243	3	applied	apply	VERB
cana-3110	243	4	nonlinear	nonlinear	ADJ
cana-3110	243	5	analysis	analysis	NOUN
cana-3110	243	6	issn	issn	NOUN
cana-3110	243	7	:	:	PUNCT
cana-3110	243	8	1074	1074	NUM
cana-3110	243	9	-	-	PUNCT
cana-3110	243	10	133x	133x	NUM
cana-3110	243	11	vol	vol	NOUN
cana-3110	243	12	32	32	NUM
cana-3110	243	13	no	no	NOUN
cana-3110	243	14	.	.	PUNCT
cana-3110	244	1	5s	5s	NUM
cana-3110	244	2	(	(	PUNCT
cana-3110	244	3	2025	2025	NUM
cana-3110	244	4	)	)	PUNCT
cana-3110	244	5	413	413	NUM
cana-3110	244	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3110	244	7	figure	figure	NOUN
cana-3110	244	8	10	10	NUM
cana-3110	244	9	–	–	PUNCT
cana-3110	244	10	the	the	DET
cana-3110	244	11	circle	circle	NOUN
cana-3110	244	12	denotes	denote	VERB
cana-3110	244	13	the	the	DET
cana-3110	244	14	gap	gap	NOUN
cana-3110	244	15	area	area	NOUN
cana-3110	244	16	and	and	CCONJ
cana-3110	244	17	the	the	DET
cana-3110	244	18	strong	strong	ADJ
cana-3110	244	19	valley	valley	NOUN
cana-3110	244	20	.	.	PUNCT
cana-3110	245	1	figure	figure	VERB
cana-3110	245	2	10	10	NUM
cana-3110	245	3	shows	show	NOUN
cana-3110	245	4	as	as	ADP
cana-3110	245	5	a	a	DET
cana-3110	245	6	graph	graph	NOUN
cana-3110	245	7	the	the	DET
cana-3110	245	8	column	column	NOUN
cana-3110	245	9	means	mean	VERB
cana-3110	245	10	for	for	ADP
cana-3110	245	11	the	the	DET
cana-3110	245	12	two	two	NUM
cana-3110	245	13	identical	identical	ADJ
cana-3110	245	14	portions	portion	NOUN
cana-3110	245	15	of	of	ADP
cana-3110	245	16	the	the	DET
cana-3110	245	17	picture	picture	NOUN
cana-3110	245	18	—	—	PUNCT
cana-3110	245	19	left	left	ADJ
cana-3110	245	20	and	and	CCONJ
cana-3110	245	21	right	right	ADJ
cana-3110	245	22	.	.	PUNCT
cana-3110	246	1	it	it	PRON
cana-3110	246	2	reveals	reveal	VERB
cana-3110	246	3	the	the	DET
cana-3110	246	4	located	locate	VERB
cana-3110	246	5	points	point	NOUN
cana-3110	246	6	of	of	ADP
cana-3110	246	7	the	the	DET
cana-3110	246	8	strong	strong	ADJ
cana-3110	246	9	valley	valley	NOUN
cana-3110	246	10	(	(	PUNCT
cana-3110	246	11	sv	sv	NOUN
cana-3110	246	12	)	)	PUNCT
cana-3110	246	13	and	and	CCONJ
cana-3110	246	14	global	global	ADJ
cana-3110	246	15	peak	peak	NOUN
cana-3110	246	16	(	(	PUNCT
cana-3110	246	17	gp	gp	NOUN
cana-3110	246	18	)	)	PUNCT
cana-3110	246	19	.	.	PUNCT
cana-3110	247	1	these	these	DET
cana-3110	247	2	points	point	VERB
cana-3110	247	3	depict	depict	ADJ
cana-3110	247	4	variations	variation	NOUN
cana-3110	247	5	in	in	ADP
cana-3110	247	6	the	the	DET
cana-3110	247	7	strength	strength	NOUN
cana-3110	247	8	of	of	ADP
cana-3110	247	9	the	the	DET
cana-3110	247	10	roi	roi	NOUN
cana-3110	247	11	.	.	PUNCT
cana-3110	248	1	important	important	ADJ
cana-3110	248	2	for	for	ADP
cana-3110	248	3	categorisation	categorisation	NOUN
cana-3110	248	4	,	,	PUNCT
cana-3110	248	5	this	this	DET
cana-3110	248	6	statistical	statistical	ADJ
cana-3110	248	7	approach	approach	NOUN
cana-3110	248	8	guarantees	guarantee	VERB
cana-3110	248	9	precise	precise	ADJ
cana-3110	248	10	identification	identification	NOUN
cana-3110	248	11	of	of	ADP
cana-3110	248	12	the	the	DET
cana-3110	248	13	knee	knee	NOUN
cana-3110	248	14	joint	joint	ADJ
cana-3110	248	15	gap	gap	NOUN
cana-3110	248	16	.	.	PUNCT
cana-3110	249	1	figure	figure	NOUN
cana-3110	249	2	11	11	NUM
cana-3110	249	3	–	–	PUNCT
cana-3110	249	4	column	column	NOUN
cana-3110	249	5	plotting	plot	VERB
cana-3110	249	6	the	the	DET
cana-3110	249	7	mean	mean	ADJ
cana-3110	249	8	values	value	NOUN
cana-3110	249	9	of	of	ADP
cana-3110	249	10	the	the	DET
cana-3110	249	11	partitioned	partition	VERB
cana-3110	249	12	pictures	picture	NOUN
cana-3110	249	13	allowed	allow	VERB
cana-3110	249	14	figure	figure	NOUN
cana-3110	249	15	10	10	NUM
cana-3110	249	16	to	to	PART
cana-3110	249	17	identify	identify	VERB
cana-3110	249	18	the	the	DET
cana-3110	249	19	maximum	maximum	ADJ
cana-3110	249	20	points	point	NOUN
cana-3110	249	21	after	after	ADP
cana-3110	249	22	the	the	DET
cana-3110	249	23	valley	valley	NOUN
cana-3110	249	24	point	point	NOUN
cana-3110	249	25	.	.	PUNCT
cana-3110	250	1	level	level	NOUN
cana-3110	250	2	3	3	NUM
cana-3110	250	3	wavelet	wavelet	NOUN
cana-3110	250	4	coefficients	coefficient	NOUN
cana-3110	250	5	are	be	AUX
cana-3110	250	6	shown	show	VERB
cana-3110	250	7	using	use	VERB
cana-3110	250	8	the	the	DET
cana-3110	250	9	"	"	PUNCT
cana-3110	250	10	db6	db6	NOUN
cana-3110	250	11	"	"	PUNCT
cana-3110	250	12	mother	mother	NOUN
cana-3110	250	13	wavelet	wavelet	NOUN
cana-3110	250	14	.	.	PUNCT
cana-3110	251	1	the	the	DET
cana-3110	251	2	map	map	NOUN
cana-3110	251	3	indicates	indicate	VERB
cana-3110	251	4	the	the	DET
cana-3110	251	5	local	local	ADJ
cana-3110	251	6	maxima	maxima	NOUN
cana-3110	251	7	(	(	PUNCT
cana-3110	251	8	lm	lm	INTJ
cana-3110	251	9	)	)	PUNCT
cana-3110	251	10	and	and	CCONJ
cana-3110	251	11	the	the	DET
cana-3110	251	12	strong	strong	ADJ
cana-3110	251	13	valley	valley	NOUN
cana-3110	251	14	(	(	PUNCT
cana-3110	251	15	sv	sv	NOUN
cana-3110	251	16	)	)	PUNCT
cana-3110	251	17	to	to	PART
cana-3110	251	18	help	help	VERB
cana-3110	251	19	one	one	NUM
cana-3110	251	20	better	well	ADV
cana-3110	251	21	understand	understand	VERB
cana-3110	251	22	where	where	SCONJ
cana-3110	251	23	the	the	DET
cana-3110	251	24	roi	roi	NOUN
cana-3110	251	25	limits	limit	NOUN
cana-3110	251	26	are	be	AUX
cana-3110	251	27	.	.	PUNCT
cana-3110	252	1	this	this	DET
cana-3110	252	2	wavelet	wavelet	NOUN
cana-3110	252	3	-	-	PUNCT
cana-3110	252	4	based	base	VERB
cana-3110	252	5	study	study	NOUN
cana-3110	252	6	considers	consider	VERB
cana-3110	252	7	variations	variation	NOUN
cana-3110	252	8	in	in	ADP
cana-3110	252	9	illumination	illumination	NOUN
cana-3110	252	10	and	and	CCONJ
cana-3110	252	11	contrast	contrast	NOUN
cana-3110	252	12	,	,	PUNCT
cana-3110	252	13	therefore	therefore	ADV
cana-3110	252	14	enhancing	enhance	VERB
cana-3110	252	15	feature	feature	NOUN
cana-3110	252	16	extraction	extraction	NOUN
cana-3110	252	17	.	.	PUNCT
cana-3110	253	1	figure	figure	NOUN
cana-3110	253	2	12	12	NUM
cana-3110	253	3	–	–	PUNCT
cana-3110	253	4	level	level	NOUN
cana-3110	253	5	3	3	NUM
cana-3110	253	6	wavelet	wavelet	NOUN
cana-3110	253	7	coefficients	coefficient	NOUN
cana-3110	253	8	utilising	utilise	VERB
cana-3110	253	9	the	the	DET
cana-3110	253	10	"	"	PUNCT
cana-3110	253	11	db6	db6	NOUN
cana-3110	253	12	"	"	PUNCT
cana-3110	253	13	mother	mother	NOUN
cana-3110	253	14	wavelet	wavelet	NOUN
cana-3110	253	15	.	.	PUNCT
cana-3110	254	1	communications	communication	NOUN
cana-3110	254	2	on	on	ADP
cana-3110	254	3	applied	apply	VERB
cana-3110	254	4	nonlinear	nonlinear	ADJ
cana-3110	254	5	analysis	analysis	NOUN
cana-3110	254	6	issn	issn	NOUN
cana-3110	254	7	:	:	PUNCT
cana-3110	254	8	1074	1074	NUM
cana-3110	254	9	-	-	PUNCT
cana-3110	254	10	133x	133x	NUM
cana-3110	254	11	vol	vol	NOUN
cana-3110	254	12	32	32	NUM
cana-3110	254	13	no	no	NOUN
cana-3110	254	14	.	.	PUNCT
cana-3110	255	1	5s	5s	NUM
cana-3110	255	2	(	(	PUNCT
cana-3110	255	3	2025	2025	NUM
cana-3110	255	4	)	)	PUNCT
cana-3110	255	5	414	414	NUM
cana-3110	255	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3110	255	7	figure	figure	NOUN
cana-3110	255	8	13	13	NUM
cana-3110	255	9	displays	display	NOUN
cana-3110	255	10	the	the	DET
cana-3110	255	11	last	last	ADJ
cana-3110	255	12	roi	roi	NOUN
cana-3110	255	13	obtained	obtain	VERB
cana-3110	255	14	using	use	VERB
cana-3110	255	15	wavelet	wavelet	NOUN
cana-3110	255	16	-	-	PUNCT
cana-3110	255	17	based	base	VERB
cana-3110	255	18	transformations	transformation	NOUN
cana-3110	255	19	and	and	CCONJ
cana-3110	255	20	scaling	scale	VERB
cana-3110	255	21	guidelines	guideline	NOUN
cana-3110	255	22	.	.	PUNCT
cana-3110	256	1	focused	focus	VERB
cana-3110	256	2	on	on	ADP
cana-3110	256	3	the	the	DET
cana-3110	256	4	space	space	NOUN
cana-3110	256	5	between	between	ADP
cana-3110	256	6	the	the	DET
cana-3110	256	7	knee	knee	NOUN
cana-3110	256	8	joints	joint	NOUN
cana-3110	256	9	,	,	PUNCT
cana-3110	256	10	the	the	DET
cana-3110	256	11	median	median	NOUN
cana-3110	256	12	-	-	PUNCT
cana-3110	256	13	filtered	filter	VERB
cana-3110	256	14	image	image	NOUN
cana-3110	256	15	is	be	AUX
cana-3110	256	16	neat	neat	ADJ
cana-3110	256	17	,	,	PUNCT
cana-3110	256	18	clear	clear	ADJ
cana-3110	256	19	.	.	PUNCT
cana-3110	257	1	the	the	DET
cana-3110	257	2	roi	roi	NOUN
cana-3110	257	3	gets	get	AUX
cana-3110	257	4	rid	rid	VERB
cana-3110	257	5	of	of	ADP
cana-3110	257	6	the	the	DET
cana-3110	257	7	unnecessary	unnecessary	ADJ
cana-3110	257	8	components	component	NOUN
cana-3110	257	9	and	and	CCONJ
cana-3110	257	10	maintains	maintain	VERB
cana-3110	257	11	the	the	DET
cana-3110	257	12	key	key	ADJ
cana-3110	257	13	elements	element	NOUN
cana-3110	257	14	required	require	VERB
cana-3110	257	15	for	for	ADP
cana-3110	257	16	kl	kl	NOUN
cana-3110	257	17	grading	grade	VERB
cana-3110	257	18	.	.	PUNCT
cana-3110	258	1	figure	figure	NOUN
cana-3110	258	2	13	13	NUM
cana-3110	258	3	–	–	PUNCT
cana-3110	258	4	region	region	NOUN
cana-3110	258	5	of	of	ADP
cana-3110	258	6	interest	interest	NOUN
cana-3110	258	7	(	(	PUNCT
cana-3110	258	8	roi	roi	NOUN
cana-3110	258	9	)	)	PUNCT
cana-3110	258	10	extracted	extract	VERB
cana-3110	258	11	following	follow	VERB
cana-3110	258	12	the	the	DET
cana-3110	258	13	last	last	ADJ
cana-3110	258	14	crop	crop	NOUN
cana-3110	258	15	operation	operation	NOUN
cana-3110	258	16	.	.	PUNCT
cana-3110	259	1	picture	picture	NOUN
cana-3110	259	2	using	use	VERB
cana-3110	259	3	a	a	DET
cana-3110	259	4	median	median	ADJ
cana-3110	259	5	filter	filter	NOUN
cana-3110	259	6	after	after	ADP
cana-3110	259	7	roi	roi	NOUN
cana-3110	259	8	.	.	PUNCT
cana-3110	260	1	figure	figure	NOUN
cana-3110	260	2	14	14	NUM
cana-3110	260	3	shows	show	VERB
cana-3110	260	4	the	the	DET
cana-3110	260	5	binarized	binarized	ADJ
cana-3110	260	6	image	image	NOUN
cana-3110	260	7	of	of	ADP
cana-3110	260	8	the	the	DET
cana-3110	260	9	roi	roi	NOUN
cana-3110	260	10	,	,	PUNCT
cana-3110	260	11	therefore	therefore	ADV
cana-3110	260	12	illustrating	illustrate	VERB
cana-3110	260	13	the	the	DET
cana-3110	260	14	difference	difference	NOUN
cana-3110	260	15	between	between	ADP
cana-3110	260	16	the	the	DET
cana-3110	260	17	knees	knee	NOUN
cana-3110	260	18	.	.	PUNCT
cana-3110	261	1	accurate	accurate	ADJ
cana-3110	261	2	measurement	measurement	NOUN
cana-3110	261	3	of	of	ADP
cana-3110	261	4	the	the	DET
cana-3110	261	5	joint	joint	ADJ
cana-3110	261	6	gap	gap	NOUN
cana-3110	261	7	made	make	VERB
cana-3110	261	8	possible	possible	ADJ
cana-3110	261	9	by	by	ADP
cana-3110	261	10	the	the	DET
cana-3110	261	11	distinct	distinct	ADJ
cana-3110	261	12	separation	separation	NOUN
cana-3110	261	13	of	of	ADP
cana-3110	261	14	black	black	ADJ
cana-3110	261	15	and	and	CCONJ
cana-3110	261	16	white	white	ADJ
cana-3110	261	17	sections	section	NOUN
cana-3110	261	18	prepares	prepare	VERB
cana-3110	261	19	the	the	DET
cana-3110	261	20	image	image	NOUN
cana-3110	261	21	for	for	ADP
cana-3110	261	22	feature	feature	NOUN
cana-3110	261	23	extraction	extraction	NOUN
cana-3110	261	24	and	and	CCONJ
cana-3110	261	25	categorisation	categorisation	NOUN
cana-3110	261	26	.	.	PUNCT
cana-3110	262	1	it	it	PRON
cana-3110	262	2	is	be	AUX
cana-3110	262	3	abundantly	abundantly	ADV
cana-3110	262	4	evident	evident	ADJ
cana-3110	262	5	from	from	ADP
cana-3110	262	6	the	the	DET
cana-3110	262	7	binarized	binarized	ADJ
cana-3110	262	8	output	output	NOUN
cana-3110	262	9	how	how	SCONJ
cana-3110	262	10	crucial	crucial	ADJ
cana-3110	262	11	correct	correct	ADJ
cana-3110	262	12	segmentation	segmentation	NOUN
cana-3110	262	13	is	be	AUX
cana-3110	262	14	for	for	ADP
cana-3110	262	15	obtaining	obtain	VERB
cana-3110	262	16	decent	decent	ADJ
cana-3110	262	17	classification	classification	NOUN
cana-3110	262	18	accuracy	accuracy	NOUN
cana-3110	262	19	.	.	PUNCT
cana-3110	263	1	figure	figure	NOUN
cana-3110	263	2	14	14	NUM
cana-3110	263	3	–	–	PUNCT
cana-3110	263	4	the	the	DET
cana-3110	263	5	distance	distance	NOUN
cana-3110	263	6	between	between	ADP
cana-3110	263	7	the	the	DET
cana-3110	263	8	knees	knee	NOUN
cana-3110	263	9	is	be	AUX
cana-3110	263	10	plainly	plainly	ADV
cana-3110	263	11	visible	visible	ADJ
cana-3110	263	12	in	in	ADP
cana-3110	263	13	this	this	DET
cana-3110	263	14	binarized	binarized	ADJ
cana-3110	263	15	picture	picture	NOUN
cana-3110	263	16	.	.	PUNCT
cana-3110	264	1	6	6	X
cana-3110	264	2	.	.	X
cana-3110	264	3	results	result	NOUN
cana-3110	264	4	and	and	CCONJ
cana-3110	264	5	discussion	discussion	NOUN
cana-3110	264	6	figure	figure	NOUN
cana-3110	264	7	15	15	NUM
cana-3110	264	8	shows	show	VERB
cana-3110	264	9	the	the	DET
cana-3110	264	10	original	original	ADJ
cana-3110	264	11	knee	knee	NOUN
cana-3110	264	12	x	x	NOUN
cana-3110	264	13	-	-	NOUN
cana-3110	264	14	rays	ray	NOUN
cana-3110	264	15	along	along	ADP
cana-3110	264	16	with	with	ADP
cana-3110	264	17	their	their	PRON
cana-3110	264	18	associated	associated	ADJ
cana-3110	264	19	split	split	NOUN
cana-3110	264	20	areas	area	NOUN
cana-3110	264	21	of	of	ADP
cana-3110	264	22	interest	interest	NOUN
cana-3110	264	23	(	(	PUNCT
cana-3110	264	24	rois	rois	PROPN
cana-3110	264	25	)	)	PUNCT
cana-3110	264	26	.	.	PUNCT
cana-3110	265	1	for	for	ADP
cana-3110	265	2	each	each	DET
cana-3110	265	3	kellgren	kellgren	NOUN
cana-3110	265	4	and	and	CCONJ
cana-3110	265	5	lawrence	lawrence	PROPN
cana-3110	265	6	(	(	PUNCT
cana-3110	265	7	kl	kl	NOUN
cana-3110	265	8	)	)	PUNCT
cana-3110	265	9	grade	grade	NOUN
cana-3110	265	10	—	—	PUNCT
cana-3110	265	11	from	from	ADP
cana-3110	265	12	grade	grade	NOUN
cana-3110	265	13	0	0	NUM
cana-3110	265	14	(	(	PUNCT
cana-3110	265	15	normal	normal	ADJ
cana-3110	265	16	)	)	PUNCT
cana-3110	265	17	to	to	PART
cana-3110	265	18	grade	grade	VERB
cana-3110	265	19	4	4	NUM
cana-3110	265	20	(	(	PUNCT
cana-3110	265	21	severe	severe	ADJ
cana-3110	265	22	osteoarthritis)—there	osteoarthritis)—there	PRON
cana-3110	265	23	is	be	AUX
cana-3110	265	24	one	one	NUM
cana-3110	265	25	.	.	PUNCT
cana-3110	266	1	using	use	VERB
cana-3110	266	2	noisy	noisy	ADJ
cana-3110	266	3	,	,	PUNCT
cana-3110	266	4	non	non	ADJ
cana-3110	266	5	-	-	ADJ
cana-3110	266	6	looking	looking	ADJ
cana-3110	266	7	-	-	PUNCT
cana-3110	266	8	like	like	ADJ
cana-3110	266	9	x	x	NOUN
cana-3110	266	10	-	-	NOUN
cana-3110	266	11	ray	ray	NOUN
cana-3110	266	12	images	image	NOUN
cana-3110	266	13	,	,	PUNCT
cana-3110	266	14	this	this	DET
cana-3110	266	15	image	image	NOUN
cana-3110	266	16	illustrates	illustrate	VERB
cana-3110	266	17	how	how	SCONJ
cana-3110	266	18	well	well	ADV
cana-3110	266	19	the	the	DET
cana-3110	266	20	proposed	propose	VERB
cana-3110	266	21	system	system	NOUN
cana-3110	266	22	performs	perform	VERB
cana-3110	266	23	in	in	ADP
cana-3110	266	24	producing	produce	VERB
cana-3110	266	25	meaningful	meaningful	ADJ
cana-3110	266	26	rois	rois	NOUN
cana-3110	266	27	.	.	PUNCT
cana-3110	267	1	the	the	DET
cana-3110	267	2	top	top	ADJ
cana-3110	267	3	row	row	NOUN
cana-3110	267	4	displays	display	VERB
cana-3110	267	5	the	the	DET
cana-3110	267	6	original	original	ADJ
cana-3110	267	7	photos	photo	NOUN
cana-3110	267	8	,	,	PUNCT
cana-3110	267	9	therefore	therefore	ADV
cana-3110	267	10	illustrating	illustrate	VERB
cana-3110	267	11	the	the	DET
cana-3110	267	12	range	range	NOUN
cana-3110	267	13	of	of	ADP
cana-3110	267	14	quality	quality	NOUN
cana-3110	267	15	in	in	ADP
cana-3110	267	16	the	the	DET
cana-3110	267	17	collection	collection	NOUN
cana-3110	267	18	.	.	PUNCT
cana-3110	268	1	accurate	accurate	ADJ
cana-3110	268	2	tagging	tagging	NOUN
cana-3110	268	3	is	be	AUX
cana-3110	268	4	very	very	ADV
cana-3110	268	5	difficult	difficult	ADJ
cana-3110	268	6	when	when	SCONJ
cana-3110	268	7	photos	photo	NOUN
cana-3110	268	8	have	have	VERB
cana-3110	268	9	poor	poor	ADJ
cana-3110	268	10	contrast	contrast	NOUN
cana-3110	268	11	,	,	PUNCT
cana-3110	268	12	uneven	uneven	ADJ
cana-3110	268	13	illumination	illumination	NOUN
cana-3110	268	14	,	,	PUNCT
cana-3110	268	15	or	or	CCONJ
cana-3110	268	16	noise	noise	NOUN
cana-3110	268	17	.	.	PUNCT
cana-3110	269	1	the	the	DET
cana-3110	269	2	rois	rois	PROPN
cana-3110	269	3	split	split	PROPN
cana-3110	269	4	according	accord	VERB
cana-3110	269	5	to	to	ADP
cana-3110	269	6	the	the	DET
cana-3110	269	7	preprocessing	preprocessing	NOUN
cana-3110	269	8	phase	phase	NOUN
cana-3110	269	9	of	of	ADP
cana-3110	269	10	the	the	DET
cana-3110	269	11	framework	framework	NOUN
cana-3110	269	12	shown	show	VERB
cana-3110	269	13	in	in	ADP
cana-3110	269	14	the	the	DET
cana-3110	269	15	following	follow	VERB
cana-3110	269	16	rows	row	NOUN
cana-3110	269	17	.	.	PUNCT
cana-3110	270	1	these	these	DET
cana-3110	270	2	split	split	VERB
cana-3110	270	3	images	image	NOUN
cana-3110	270	4	help	help	VERB
cana-3110	270	5	one	one	NOUN
cana-3110	270	6	to	to	PART
cana-3110	270	7	clearly	clearly	ADV
cana-3110	270	8	distinguish	distinguish	VERB
cana-3110	270	9	the	the	DET
cana-3110	270	10	knee	knee	NOUN
cana-3110	270	11	joint	joint	ADJ
cana-3110	270	12	region	region	NOUN
cana-3110	270	13	from	from	ADP
cana-3110	270	14	other	other	ADJ
cana-3110	270	15	areas	area	NOUN
cana-3110	270	16	not	not	PART
cana-3110	270	17	required	require	VERB
cana-3110	270	18	,	,	PUNCT
cana-3110	270	19	therefore	therefore	ADV
cana-3110	270	20	facilitating	facilitate	VERB
cana-3110	270	21	the	the	DET
cana-3110	270	22	identification	identification	NOUN
cana-3110	270	23	of	of	ADP
cana-3110	270	24	crucial	crucial	ADJ
cana-3110	270	25	diagnostic	diagnostic	ADJ
cana-3110	270	26	elements	element	NOUN
cana-3110	270	27	.	.	PUNCT
cana-3110	271	1	the	the	DET
cana-3110	271	2	separated	separate	VERB
cana-3110	271	3	rois	rois	NOUN
cana-3110	271	4	grow	grow	VERB
cana-3110	271	5	smaller	small	ADJ
cana-3110	271	6	when	when	SCONJ
cana-3110	271	7	the	the	DET
cana-3110	271	8	kl	kl	PROPN
cana-3110	271	9	grade	grade	NOUN
cana-3110	271	10	increases	increase	NOUN
cana-3110	271	11	between	between	ADP
cana-3110	271	12	the	the	DET
cana-3110	271	13	upper	upper	ADJ
cana-3110	271	14	and	and	CCONJ
cana-3110	271	15	lower	low	ADJ
cana-3110	271	16	knee	knee	NOUN
cana-3110	271	17	bones	bone	NOUN
cana-3110	271	18	.	.	PUNCT
cana-3110	272	1	the	the	DET
cana-3110	272	2	knee	knee	NOUN
cana-3110	272	3	is	be	AUX
cana-3110	272	4	healthy	healthy	ADJ
cana-3110	272	5	for	for	ADP
cana-3110	272	6	grade	grade	NOUN
cana-3110	272	7	0	0	PUNCT
cana-3110	272	8	as	as	SCONJ
cana-3110	272	9	the	the	DET
cana-3110	272	10	joint	joint	ADJ
cana-3110	272	11	gap	gap	NOUN
cana-3110	272	12	is	be	AUX
cana-3110	272	13	large	large	ADJ
cana-3110	272	14	and	and	CCONJ
cana-3110	272	15	readily	readily	ADV
cana-3110	272	16	evident	evident	ADJ
cana-3110	272	17	.	.	PUNCT
cana-3110	273	1	given	give	VERB
cana-3110	273	2	the	the	DET
cana-3110	273	3	shrinking	shrink	VERB
cana-3110	273	4	difference	difference	NOUN
cana-3110	273	5	for	for	ADP
cana-3110	273	6	grade	grade	NOUN
cana-3110	273	7	1	1	NUM
cana-3110	273	8	,	,	PUNCT
cana-3110	273	9	osteoarthritis	osteoarthritis	NOUN
cana-3110	273	10	is	be	AUX
cana-3110	273	11	most	most	ADV
cana-3110	273	12	probable	probable	ADJ
cana-3110	273	13	.	.	PUNCT
cana-3110	274	1	the	the	DET
cana-3110	274	2	gaps	gap	NOUN
cana-3110	274	3	narrow	narrow	ADJ
cana-3110	274	4	and	and	CCONJ
cana-3110	274	5	the	the	DET
cana-3110	274	6	hard	hard	ADJ
cana-3110	274	7	tissues	tissue	NOUN
cana-3110	274	8	surrounding	surround	VERB
cana-3110	274	9	grades	grade	NOUN
cana-3110	274	10	2	2	NUM
cana-3110	274	11	and	and	CCONJ
cana-3110	274	12	3	3	NUM
cana-3110	274	13	change	change	NOUN
cana-3110	274	14	texture	texture	NOUN
cana-3110	274	15	in	in	ADP
cana-3110	274	16	a	a	DET
cana-3110	274	17	manner	manner	NOUN
cana-3110	274	18	you	you	PRON
cana-3110	274	19	can	can	AUX
cana-3110	274	20	perceive	perceive	VERB
cana-3110	274	21	.	.	PUNCT
cana-3110	275	1	by	by	ADP
cana-3110	275	2	grade	grade	NOUN
cana-3110	275	3	4	4	NUM
cana-3110	275	4	,	,	PUNCT
cana-3110	275	5	the	the	DET
cana-3110	275	6	difference	difference	NOUN
cana-3110	275	7	is	be	AUX
cana-3110	275	8	almost	almost	ADV
cana-3110	275	9	closed	closed	ADJ
cana-3110	275	10	and	and	CCONJ
cana-3110	275	11	osteophyte	osteophyte	ADJ
cana-3110	275	12	development	development	NOUN
cana-3110	275	13	and	and	CCONJ
cana-3110	275	14	inflammation	inflammation	NOUN
cana-3110	275	15	abound	abound	NOUN
cana-3110	275	16	.	.	PUNCT
cana-3110	276	1	this	this	DET
cana-3110	276	2	image	image	NOUN
cana-3110	276	3	illustrates	illustrate	VERB
cana-3110	276	4	how	how	SCONJ
cana-3110	276	5	the	the	DET
cana-3110	276	6	framework	framework	NOUN
cana-3110	276	7	can	can	AUX
cana-3110	276	8	extract	extract	VERB
cana-3110	276	9	rois	rois	NOUN
cana-3110	276	10	displaying	display	VERB
cana-3110	276	11	significant	significant	ADJ
cana-3110	276	12	communications	communication	NOUN
cana-3110	276	13	on	on	ADP
cana-3110	276	14	applied	apply	VERB
cana-3110	276	15	nonlinear	nonlinear	ADJ
cana-3110	276	16	analysis	analysis	NOUN
cana-3110	276	17	issn	issn	NOUN
cana-3110	276	18	:	:	PUNCT
cana-3110	276	19	1074	1074	NUM
cana-3110	276	20	-	-	PUNCT
cana-3110	276	21	133x	133x	NUM
cana-3110	276	22	vol	vol	NOUN
cana-3110	276	23	32	32	NUM
cana-3110	276	24	no	no	NOUN
cana-3110	276	25	.	.	PUNCT
cana-3110	277	1	5s	5s	NUM
cana-3110	277	2	(	(	PUNCT
cana-3110	277	3	2025	2025	NUM
cana-3110	277	4	)	)	PUNCT
cana-3110	278	1	415	415	NUM
cana-3110	278	2	https://internationalpubls.com	https://internationalpubls.com	X
cana-3110	278	3	information	information	NOUN
cana-3110	278	4	for	for	ADP
cana-3110	278	5	grading	grade	VERB
cana-3110	278	6	oa	oa	PRON
cana-3110	278	7	,	,	PUNCT
cana-3110	278	8	including	include	VERB
cana-3110	278	9	the	the	DET
cana-3110	278	10	diameter	diameter	NOUN
cana-3110	278	11	of	of	ADP
cana-3110	278	12	the	the	DET
cana-3110	278	13	joint	joint	ADJ
cana-3110	278	14	gap	gap	NOUN
cana-3110	278	15	and	and	CCONJ
cana-3110	278	16	the	the	DET
cana-3110	278	17	appearance	appearance	NOUN
cana-3110	278	18	of	of	ADP
cana-3110	278	19	the	the	DET
cana-3110	278	20	tissue	tissue	NOUN
cana-3110	278	21	.	.	PUNCT
cana-3110	279	1	more	more	ADV
cana-3110	279	2	accurate	accurate	ADJ
cana-3110	279	3	feature	feature	NOUN
cana-3110	279	4	extraction	extraction	NOUN
cana-3110	279	5	and	and	CCONJ
cana-3110	279	6	classification	classification	NOUN
cana-3110	279	7	are	be	AUX
cana-3110	279	8	opened	open	VERB
cana-3110	279	9	by	by	ADP
cana-3110	279	10	the	the	DET
cana-3110	279	11	obvious	obvious	ADJ
cana-3110	279	12	variation	variation	NOUN
cana-3110	279	13	in	in	ADP
cana-3110	279	14	split	split	ADJ
cana-3110	279	15	rois	rois	NOUN
cana-3110	279	16	between	between	ADP
cana-3110	279	17	grades	grade	NOUN
cana-3110	279	18	,	,	PUNCT
cana-3110	279	19	which	which	PRON
cana-3110	279	20	also	also	ADV
cana-3110	279	21	reveals	reveal	VERB
cana-3110	279	22	the	the	DET
cana-3110	279	23	dependability	dependability	NOUN
cana-3110	279	24	of	of	ADP
cana-3110	279	25	the	the	DET
cana-3110	279	26	technique	technique	NOUN
cana-3110	279	27	.	.	PUNCT
cana-3110	280	1	figure	figure	NOUN
cana-3110	280	2	15	15	NUM
cana-3110	280	3	–	–	PUNCT
cana-3110	280	4	the	the	DET
cana-3110	280	5	original	original	ADJ
cana-3110	280	6	picture	picture	NOUN
cana-3110	280	7	together	together	ADV
cana-3110	280	8	with	with	ADP
cana-3110	280	9	their	their	PRON
cana-3110	280	10	roi	roi	NOUN
cana-3110	280	11	segments	segment	NOUN
cana-3110	280	12	.	.	PUNCT
cana-3110	281	1	7	7	X
cana-3110	281	2	.	.	X
cana-3110	281	3	conclusion	conclusion	NOUN
cana-3110	281	4	typical	typical	ADJ
cana-3110	281	5	issues	issue	NOUN
cana-3110	281	6	in	in	ADP
cana-3110	281	7	medical	medical	ADJ
cana-3110	281	8	imaging	imaging	NOUN
cana-3110	281	9	include	include	VERB
cana-3110	281	10	noise	noise	NOUN
cana-3110	281	11	,	,	PUNCT
cana-3110	281	12	poor	poor	ADJ
cana-3110	281	13	contrast	contrast	NOUN
cana-3110	281	14	,	,	PUNCT
cana-3110	281	15	and	and	CCONJ
cana-3110	281	16	unequal	unequal	ADJ
cana-3110	281	17	illumination	illumination	NOUN
cana-3110	281	18	.	.	PUNCT
cana-3110	282	1	the	the	DET
cana-3110	282	2	proposed	propose	VERB
cana-3110	282	3	approach	approach	NOUN
cana-3110	282	4	for	for	ADP
cana-3110	282	5	pre	pre	ADJ
cana-3110	282	6	-	-	ADJ
cana-3110	282	7	processing	processing	ADJ
cana-3110	282	8	knee	knee	NOUN
cana-3110	282	9	x	x	NOUN
cana-3110	282	10	-	-	NOUN
cana-3110	282	11	ray	ray	NOUN
cana-3110	282	12	images	image	NOUN
cana-3110	282	13	performs	perform	VERB
cana-3110	282	14	really	really	ADV
cana-3110	282	15	well	well	ADV
cana-3110	282	16	in	in	ADP
cana-3110	282	17	addressing	address	VERB
cana-3110	282	18	these	these	DET
cana-3110	282	19	issues	issue	NOUN
cana-3110	282	20	.	.	PUNCT
cana-3110	283	1	the	the	DET
cana-3110	283	2	system	system	NOUN
cana-3110	283	3	finds	find	VERB
cana-3110	283	4	the	the	DET
cana-3110	283	5	area	area	NOUN
cana-3110	283	6	of	of	ADP
cana-3110	283	7	interest	interest	NOUN
cana-3110	283	8	(	(	PUNCT
cana-3110	283	9	roi	roi	NOUN
cana-3110	283	10	)	)	PUNCT
cana-3110	283	11	for	for	ADP
cana-3110	283	12	evaluating	evaluate	VERB
cana-3110	283	13	knee	knee	NOUN
cana-3110	283	14	osteoarthritis	osteoarthritis	NOUN
cana-3110	283	15	(	(	PUNCT
cana-3110	283	16	oa	oa	INTJ
cana-3110	283	17	)	)	PUNCT
cana-3110	283	18	by	by	ADP
cana-3110	283	19	means	mean	NOUN
cana-3110	283	20	of	of	ADP
cana-3110	283	21	a	a	DET
cana-3110	283	22	planned	plan	VERB
cana-3110	283	23	approach	approach	NOUN
cana-3110	283	24	including	include	VERB
cana-3110	283	25	gaussian	gaussian	ADJ
cana-3110	283	26	blurring	blurring	NOUN
cana-3110	283	27	,	,	PUNCT
cana-3110	283	28	thresholding	thresholding	NOUN
cana-3110	283	29	,	,	PUNCT
cana-3110	283	30	cropping	crop	VERB
cana-3110	283	31	(	(	PUNCT
cana-3110	283	32	both	both	CCONJ
cana-3110	283	33	vertically	vertically	ADV
cana-3110	283	34	and	and	CCONJ
cana-3110	283	35	communications	communication	NOUN
cana-3110	283	36	on	on	ADP
cana-3110	283	37	applied	apply	VERB
cana-3110	283	38	nonlinear	nonlinear	ADJ
cana-3110	283	39	analysis	analysis	NOUN
cana-3110	283	40	issn	issn	NOUN
cana-3110	283	41	:	:	PUNCT
cana-3110	283	42	1074	1074	NUM
cana-3110	283	43	-	-	PUNCT
cana-3110	283	44	133x	133x	NUM
cana-3110	283	45	vol	vol	NOUN
cana-3110	283	46	32	32	NUM
cana-3110	283	47	no	no	NOUN
cana-3110	283	48	.	.	PUNCT
cana-3110	284	1	5s	5s	NUM
cana-3110	284	2	(	(	PUNCT
cana-3110	284	3	2025	2025	NUM
cana-3110	284	4	)	)	PUNCT
cana-3110	284	5	416	416	NUM
cana-3110	284	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3110	284	7	horizontally	horizontally	ADV
cana-3110	284	8	)	)	PUNCT
cana-3110	284	9	,	,	PUNCT
cana-3110	284	10	downsizing	downsize	VERB
cana-3110	284	11	,	,	PUNCT
cana-3110	284	12	and	and	CCONJ
cana-3110	284	13	sophisticated	sophisticated	ADJ
cana-3110	284	14	statistical	statistical	ADJ
cana-3110	284	15	and	and	CCONJ
cana-3110	284	16	wavelet	wavelet	NOUN
cana-3110	284	17	-	-	PUNCT
cana-3110	284	18	based	base	VERB
cana-3110	284	19	feature	feature	NOUN
cana-3110	284	20	tuning	tuning	NOUN
cana-3110	284	21	.	.	PUNCT
cana-3110	285	1	this	this	PRON
cana-3110	285	2	makes	make	VERB
cana-3110	285	3	it	it	PRON
cana-3110	285	4	simple	simple	ADJ
cana-3110	285	5	to	to	PART
cana-3110	285	6	split	split	VERB
cana-3110	285	7	the	the	DET
cana-3110	285	8	knee	knee	NOUN
cana-3110	285	9	joint	joint	ADJ
cana-3110	285	10	region	region	NOUN
cana-3110	285	11	into	into	ADP
cana-3110	285	12	unambiguous	unambiguous	ADJ
cana-3110	285	13	portions	portion	NOUN
cana-3110	285	14	displaying	display	VERB
cana-3110	285	15	significant	significant	ADJ
cana-3110	285	16	information	information	NOUN
cana-3110	285	17	like	like	ADP
cana-3110	285	18	the	the	DET
cana-3110	285	19	joint	joint	ADJ
cana-3110	285	20	gap	gap	NOUN
cana-3110	285	21	and	and	CCONJ
cana-3110	285	22	hard	hard	ADJ
cana-3110	285	23	tissues	tissue	NOUN
cana-3110	285	24	surrounding	surround	VERB
cana-3110	285	25	it	it	PRON
cana-3110	285	26	,	,	PUNCT
cana-3110	285	27	which	which	PRON
cana-3110	285	28	are	be	AUX
cana-3110	285	29	required	require	VERB
cana-3110	285	30	for	for	ADP
cana-3110	285	31	proper	proper	ADJ
cana-3110	285	32	scoring	scoring	NOUN
cana-3110	285	33	using	use	VERB
cana-3110	285	34	the	the	DET
cana-3110	285	35	kellgren	kellgren	NOUN
cana-3110	285	36	and	and	CCONJ
cana-3110	285	37	lawrence	lawrence	PROPN
cana-3110	285	38	(	(	PUNCT
cana-3110	285	39	kl	kl	NOUN
cana-3110	285	40	)	)	PUNCT
cana-3110	285	41	approach	approach	NOUN
cana-3110	285	42	.	.	PUNCT
cana-3110	286	1	from	from	ADP
cana-3110	286	2	grade	grade	NOUN
cana-3110	286	3	0	0	NUM
cana-3110	286	4	(	(	PUNCT
cana-3110	286	5	healthy	healthy	ADJ
cana-3110	286	6	knees	knee	NOUN
cana-3110	286	7	)	)	PUNCT
cana-3110	286	8	to	to	PART
cana-3110	286	9	grade	grade	VERB
cana-3110	286	10	4	4	NUM
cana-3110	286	11	(	(	PUNCT
cana-3110	286	12	severe	severe	ADJ
cana-3110	286	13	osteoarthritis	osteoarthritis	NOUN
cana-3110	286	14	)	)	PUNCT
cana-3110	286	15	,	,	PUNCT
cana-3110	286	16	the	the	DET
cana-3110	286	17	test	test	NOUN
cana-3110	286	18	findings	finding	NOUN
cana-3110	286	19	demonstrate	demonstrate	VERB
cana-3110	286	20	the	the	DET
cana-3110	286	21	framework	framework	NOUN
cana-3110	286	22	can	can	AUX
cana-3110	286	23	manage	manage	VERB
cana-3110	286	24	variations	variation	NOUN
cana-3110	286	25	in	in	ADP
cana-3110	286	26	image	image	NOUN
cana-3110	286	27	quality	quality	NOUN
cana-3110	286	28	across	across	ADP
cana-3110	286	29	all	all	DET
cana-3110	286	30	five	five	NUM
cana-3110	286	31	kl	kl	NOUN
cana-3110	286	32	classes	class	NOUN
cana-3110	286	33	.	.	PUNCT
cana-3110	287	1	the	the	DET
cana-3110	287	2	segmented	segment	VERB
cana-3110	287	3	roi	roi	NOUN
cana-3110	287	4	removes	remove	VERB
cana-3110	287	5	non	non	ADJ
cana-3110	287	6	-	-	ADJ
cana-3110	287	7	essential	essential	ADJ
cana-3110	287	8	regions	region	NOUN
cana-3110	287	9	and	and	CCONJ
cana-3110	287	10	preserves	preserve	VERB
cana-3110	287	11	significant	significant	ADJ
cana-3110	287	12	diagnostic	diagnostic	ADJ
cana-3110	287	13	traits	trait	NOUN
cana-3110	287	14	,	,	PUNCT
cana-3110	287	15	hence	hence	ADV
cana-3110	287	16	clarifying	clarify	VERB
cana-3110	287	17	categorisation	categorisation	NOUN
cana-3110	287	18	.	.	PUNCT
cana-3110	288	1	for	for	ADP
cana-3110	288	2	automated	automate	VERB
cana-3110	288	3	oa	oa	PROPN
cana-3110	288	4	recognition	recognition	NOUN
cana-3110	288	5	,	,	PUNCT
cana-3110	288	6	the	the	DET
cana-3110	288	7	framework	framework	NOUN
cana-3110	288	8	's	's	PART
cana-3110	288	9	flexibility	flexibility	NOUN
cana-3110	288	10	in	in	ADP
cana-3110	288	11	changing	change	VERB
cana-3110	288	12	to	to	ADP
cana-3110	288	13	various	various	ADJ
cana-3110	288	14	image	image	NOUN
cana-3110	288	15	scenarios	scenario	NOUN
cana-3110	288	16	increases	increase	VERB
cana-3110	288	17	its	its	PRON
cana-3110	288	18	generalisable	generalisable	ADJ
cana-3110	288	19	value	value	NOUN
cana-3110	288	20	.	.	PUNCT
cana-3110	289	1	the	the	DET
cana-3110	289	2	framework	framework	NOUN
cana-3110	289	3	improves	improve	VERB
cana-3110	289	4	the	the	DET
cana-3110	289	5	classification	classification	NOUN
cana-3110	289	6	characteristics	characteristic	NOUN
cana-3110	289	7	and	and	CCONJ
cana-3110	289	8	divides	divide	VERB
cana-3110	289	9	the	the	DET
cana-3110	289	10	roi	roi	NOUN
cana-3110	289	11	very	very	ADV
cana-3110	289	12	well	well	ADV
cana-3110	289	13	.	.	PUNCT
cana-3110	290	1	work	work	NOUN
cana-3110	290	2	in	in	ADP
cana-3110	290	3	the	the	DET
cana-3110	290	4	future	future	NOUN
cana-3110	290	5	may	may	AUX
cana-3110	290	6	concentrate	concentrate	VERB
cana-3110	290	7	on	on	ADP
cana-3110	290	8	introducing	introduce	VERB
cana-3110	290	9	contrast	contrast	NOUN
cana-3110	290	10	enhancement	enhancement	NOUN
cana-3110	290	11	techniques	technique	NOUN
cana-3110	290	12	to	to	PART
cana-3110	290	13	better	well	ADV
cana-3110	290	14	manage	manage	VERB
cana-3110	290	15	conditions	condition	NOUN
cana-3110	290	16	with	with	ADP
cana-3110	290	17	very	very	ADV
cana-3110	290	18	little	little	ADJ
cana-3110	290	19	light	light	NOUN
cana-3110	290	20	.	.	PUNCT
cana-3110	291	1	investigating	investigate	VERB
cana-3110	291	2	more	more	ADV
cana-3110	291	3	sophisticated	sophisticated	ADJ
cana-3110	291	4	noise	noise	NOUN
cana-3110	291	5	removing	remove	VERB
cana-3110	291	6	filters	filter	NOUN
cana-3110	291	7	that	that	PRON
cana-3110	291	8	maintain	maintain	VERB
cana-3110	291	9	edge	edge	NOUN
cana-3110	291	10	information	information	NOUN
cana-3110	291	11	might	might	AUX
cana-3110	291	12	also	also	ADV
cana-3110	291	13	help	help	VERB
cana-3110	291	14	to	to	PART
cana-3110	291	15	increase	increase	VERB
cana-3110	291	16	segmentation	segmentation	NOUN
cana-3110	291	17	accuracy	accuracy	NOUN
cana-3110	291	18	.	.	PUNCT
cana-3110	292	1	at	at	ADP
cana-3110	292	2	last	last	ADV
cana-3110	292	3	,	,	PUNCT
cana-3110	292	4	by	by	ADP
cana-3110	292	5	ensuring	ensure	VERB
cana-3110	292	6	first	first	ADJ
cana-3110	292	7	-	-	PUNCT
cana-3110	292	8	rate	rate	NOUN
cana-3110	292	9	preprocessing	preprocessing	NOUN
cana-3110	292	10	and	and	CCONJ
cana-3110	292	11	segmentation	segmentation	NOUN
cana-3110	292	12	,	,	PUNCT
cana-3110	292	13	the	the	DET
cana-3110	292	14	recommended	recommend	VERB
cana-3110	292	15	method	method	NOUN
cana-3110	292	16	lays	lay	VERB
cana-3110	292	17	a	a	DET
cana-3110	292	18	solid	solid	ADJ
cana-3110	292	19	basis	basis	NOUN
cana-3110	292	20	for	for	ADP
cana-3110	292	21	automated	automate	VERB
cana-3110	292	22	oa	oa	NOUN
cana-3110	292	23	identification	identification	NOUN
cana-3110	292	24	.	.	PUNCT
cana-3110	293	1	it	it	PRON
cana-3110	293	2	is	be	AUX
cana-3110	293	3	thus	thus	ADV
cana-3110	293	4	a	a	DET
cana-3110	293	5	significant	significant	ADJ
cana-3110	293	6	contribution	contribution	NOUN
cana-3110	293	7	to	to	ADP
cana-3110	293	8	the	the	DET
cana-3110	293	9	area	area	NOUN
cana-3110	293	10	of	of	ADP
cana-3110	293	11	medical	medical	ADJ
cana-3110	293	12	image	image	NOUN
cana-3110	293	13	processing	processing	NOUN
cana-3110	293	14	as	as	SCONJ
cana-3110	293	15	it	it	PRON
cana-3110	293	16	makes	make	VERB
cana-3110	293	17	subsequent	subsequent	ADJ
cana-3110	293	18	operations	operation	NOUN
cana-3110	293	19	like	like	ADP
cana-3110	293	20	feature	feature	NOUN
cana-3110	293	21	extraction	extraction	NOUN
cana-3110	293	22	and	and	CCONJ
cana-3110	293	23	classification	classification	NOUN
cana-3110	293	24	more	more	ADV
cana-3110	293	25	understandable	understandable	ADJ
cana-3110	293	26	and	and	CCONJ
cana-3110	293	27	more	more	ADV
cana-3110	293	28	accurate	accurate	ADJ
cana-3110	293	29	.	.	PUNCT
cana-3110	294	1	declaration	declaration	NOUN
cana-3110	294	2	of	of	ADP
cana-3110	294	3	interests	interest	NOUN
cana-3110	294	4	:	:	PUNCT
cana-3110	294	5	authors	author	NOUN
cana-3110	294	6	have	have	VERB
cana-3110	294	7	no	no	DET
cana-3110	294	8	conflicts	conflict	NOUN
cana-3110	294	9	of	of	ADP
cana-3110	294	10	interest	interest	NOUN
cana-3110	294	11	.	.	PUNCT
cana-3110	295	1	references	reference	NOUN
cana-3110	295	2	[	[	X
cana-3110	295	3	1	1	NUM
cana-3110	295	4	]	]	X
cana-3110	295	5	oka	oka	NOUN
cana-3110	295	6	,	,	PUNCT
cana-3110	295	7	h.	h.	PROPN
cana-3110	295	8	,	,	PUNCT
cana-3110	295	9	muraki	muraki	PROPN
cana-3110	295	10	,	,	PUNCT
cana-3110	295	11	s.	s.	PROPN
cana-3110	295	12	,	,	PUNCT
cana-3110	295	13	akune	akune	PROPN
cana-3110	295	14	,	,	PUNCT
cana-3110	295	15	t.	t.	PROPN
cana-3110	295	16	,	,	PUNCT
cana-3110	295	17	mabuchi	mabuchi	PROPN
cana-3110	295	18	,	,	PUNCT
cana-3110	295	19	a.	a.	PROPN
cana-3110	295	20	,	,	PUNCT
cana-3110	295	21	suzuki	suzuki	PROPN
cana-3110	295	22	,	,	PUNCT
cana-3110	295	23	t.	t.	PROPN
cana-3110	295	24	,	,	PUNCT
cana-3110	295	25	yoshida	yoshida	PROPN
cana-3110	295	26	,	,	PUNCT
cana-3110	295	27	h.	h.	PROPN
cana-3110	295	28	,	,	PUNCT
cana-3110	295	29	yamamoto	yamamoto	PROPN
cana-3110	295	30	,	,	PUNCT
cana-3110	295	31	s.	s.	PROPN
cana-3110	295	32	,	,	PUNCT
cana-3110	295	33	nakamura	nakamura	PROPN
cana-3110	295	34	,	,	PUNCT
cana-3110	295	35	k.	k.	PROPN
cana-3110	295	36	,	,	PUNCT
cana-3110	295	37	yoshimura	yoshimura	PROPN
cana-3110	295	38	,	,	PUNCT
cana-3110	295	39	n.	n.	NOUN
cana-3110	295	40	,	,	PUNCT
cana-3110	295	41	kawaguchi	kawaguchi	PROPN
cana-3110	295	42	,	,	PUNCT
cana-3110	295	43	h.	h.	PROPN
cana-3110	295	44	:	:	PUNCT
cana-3110	295	45	fully	fully	ADV
cana-3110	295	46	automatic	automatic	ADJ
cana-3110	295	47	quantification	quantification	NOUN
cana-3110	295	48	of	of	ADP
cana-3110	295	49	knee	knee	NOUN
cana-3110	295	50	osteoarthritis	osteoarthritis	NOUN
cana-3110	295	51	severity	severity	NOUN
cana-3110	295	52	on	on	ADP
cana-3110	295	53	plain	plain	ADJ
cana-3110	295	54	radiographs	radiograph	NOUN
cana-3110	295	55	.	.	PUNCT
cana-3110	296	1	osteoarthritis	osteoarthritis	NOUN
cana-3110	296	2	and	and	CCONJ
cana-3110	296	3	cartilage	cartilage	NOUN
cana-3110	296	4	16(11	16(11	NUM
cana-3110	296	5	)	)	PUNCT
cana-3110	296	6	,	,	PUNCT
cana-3110	296	7	1300{1306	1300{1306	NUM
cana-3110	296	8	(	(	PUNCT
cana-3110	296	9	2008	2008	NUM
cana-3110	296	10	)	)	PUNCT
cana-3110	297	1	[	[	X
cana-3110	297	2	2	2	NUM
cana-3110	297	3	]	]	PUNCT
cana-3110	297	4	shamir	shamir	PROPN
cana-3110	297	5	,	,	PUNCT
cana-3110	297	6	l.	l.	PROPN
cana-3110	297	7	,	,	PUNCT
cana-3110	297	8	ling	ling	PROPN
cana-3110	297	9	,	,	PUNCT
cana-3110	297	10	s.m	s.m	PROPN
cana-3110	297	11	.	.	PROPN
cana-3110	297	12	,	,	PUNCT
cana-3110	297	13	scott	scott	PROPN
cana-3110	297	14	,	,	PUNCT
cana-3110	297	15	w.	w.	PROPN
cana-3110	297	16	,	,	PUNCT
cana-3110	297	17	hochberg	hochberg	PROPN
cana-3110	297	18	,	,	PUNCT
cana-3110	297	19	m.	m.	NOUN
cana-3110	297	20	,	,	PUNCT
cana-3110	297	21	ferrucci	ferrucci	NOUN
cana-3110	297	22	,	,	PUNCT
cana-3110	297	23	l.	l.	PROPN
cana-3110	297	24	,	,	PUNCT
cana-3110	297	25	goldberg	goldberg	PROPN
cana-3110	297	26	,	,	PUNCT
cana-3110	297	27	i.g	i.g	PROPN
cana-3110	297	28	.	.	PROPN
cana-3110	297	29	:	:	PUNCT
cana-3110	297	30	early	early	ADJ
cana-3110	297	31	detection	detection	NOUN
cana-3110	297	32	of	of	ADP
cana-3110	297	33	radiographic	radiographic	ADJ
cana-3110	297	34	knee	knee	NOUN
cana-3110	297	35	osteoarthritis	osteoarthritis	NOUN
cana-3110	297	36	using	use	VERB
cana-3110	297	37	computer	computer	NOUN
cana-3110	297	38	-	-	PUNCT
cana-3110	297	39	aided	aid	VERB
cana-3110	297	40	analysis	analysis	NOUN
cana-3110	297	41	.	.	PUNCT
cana-3110	298	1	osteoarthritis	osteoarthritis	NOUN
cana-3110	298	2	and	and	CCONJ
cana-3110	298	3	cartilage	cartilage	NOUN
cana-3110	298	4	17(10	17(10	NUM
cana-3110	298	5	)	)	PUNCT
cana-3110	298	6	,	,	PUNCT
cana-3110	298	7	1307{1312	1307{1312	NUM
cana-3110	298	8	(	(	PUNCT
cana-3110	298	9	2009	2009	NUM
cana-3110	298	10	)	)	PUNCT
cana-3110	299	1	[	[	X
cana-3110	299	2	3	3	NUM
cana-3110	299	3	]	]	PUNCT
cana-3110	299	4	shamir	shamir	PROPN
cana-3110	299	5	,	,	PUNCT
cana-3110	299	6	l.	l.	PROPN
cana-3110	299	7	,	,	PUNCT
cana-3110	299	8	ling	ling	PROPN
cana-3110	299	9	,	,	PUNCT
cana-3110	299	10	s.m	s.m	PROPN
cana-3110	299	11	.	.	PROPN
cana-3110	299	12	,	,	PUNCT
cana-3110	299	13	scott	scott	PROPN
cana-3110	299	14	jr	jr	PROPN
cana-3110	299	15	,	,	PUNCT
cana-3110	299	16	w.w	w.w	PROPN
cana-3110	299	17	.	.	PROPN
cana-3110	299	18	,	,	PUNCT
cana-3110	299	19	bos	bos	PROPN
cana-3110	299	20	,	,	PUNCT
cana-3110	299	21	a.	a.	NOUN
cana-3110	299	22	,	,	PUNCT
cana-3110	299	23	orlov	orlov	PROPN
cana-3110	299	24	,	,	PUNCT
cana-3110	299	25	n.	n.	NOUN
cana-3110	299	26	,	,	PUNCT
cana-3110	299	27	macura	macura	NOUN
cana-3110	299	28	,	,	PUNCT
cana-3110	299	29	t.j	t.j	PROPN
cana-3110	299	30	.	.	PROPN
cana-3110	299	31	,	,	PUNCT
cana-3110	299	32	eckley	eckley	PROPN
cana-3110	299	33	,	,	PUNCT
cana-3110	299	34	d.m	d.m	PROPN
cana-3110	299	35	.	.	PROPN
cana-3110	299	36	,	,	PUNCT
cana-3110	299	37	ferrucci	ferrucci	PROPN
cana-3110	299	38	,	,	PUNCT
cana-3110	299	39	l.	l.	PROPN
cana-3110	299	40	,	,	PUNCT
cana-3110	299	41	goldberg	goldberg	PROPN
cana-3110	299	42	,	,	PUNCT
cana-3110	299	43	i.g	i.g	PROPN
cana-3110	299	44	.	.	PROPN
cana-3110	299	45	:	:	PUNCT
cana-3110	300	1	knee	knee	NOUN
cana-3110	300	2	x	x	X
cana-3110	300	3	-	-	NOUN
cana-3110	300	4	ray	ray	NOUN
cana-3110	300	5	image	image	NOUN
cana-3110	300	6	analysis	analysis	NOUN
cana-3110	300	7	method	method	NOUN
cana-3110	300	8	for	for	ADP
cana-3110	300	9	automated	automate	VERB
cana-3110	300	10	detection	detection	NOUN
cana-3110	300	11	of	of	ADP
cana-3110	300	12	osteoarthritis	osteoarthritis	NOUN
cana-3110	300	13	.	.	PUNCT
cana-3110	301	1	ieee	ieee	NOUN
cana-3110	301	2	transactions	transaction	NOUN
cana-3110	301	3	on	on	ADP
cana-3110	301	4	biomedical	biomedical	ADJ
cana-3110	301	5	engineering	engineering	NOUN
cana-3110	301	6	56(2	56(2	NOUN
cana-3110	301	7	)	)	PUNCT
cana-3110	301	8	,	,	PUNCT
cana-3110	301	9	407{415	407{415	PROPN
cana-3110	301	10	(	(	PUNCT
cana-3110	301	11	2009	2009	NUM
cana-3110	301	12	)	)	PUNCT
cana-3110	302	1	[	[	X
cana-3110	302	2	4	4	NUM
cana-3110	302	3	]	]	X
cana-3110	302	4	shamir	shamir	PROPN
cana-3110	302	5	,	,	PUNCT
cana-3110	302	6	l.	l.	PROPN
cana-3110	302	7	,	,	PUNCT
cana-3110	302	8	orlov	orlov	PROPN
cana-3110	302	9	,	,	PUNCT
cana-3110	302	10	n.	n.	NOUN
cana-3110	302	11	,	,	PUNCT
cana-3110	302	12	eckley	eckley	PROPN
cana-3110	302	13	,	,	PUNCT
cana-3110	302	14	d.m	d.m	PROPN
cana-3110	302	15	.	.	PROPN
cana-3110	302	16	,	,	PUNCT
cana-3110	302	17	macura	macura	NOUN
cana-3110	302	18	,	,	PUNCT
cana-3110	302	19	t.	t.	PROPN
cana-3110	302	20	,	,	PUNCT
cana-3110	302	21	johnston	johnston	PROPN
cana-3110	302	22	,	,	PUNCT
cana-3110	302	23	j.	j.	PROPN
cana-3110	302	24	,	,	PUNCT
cana-3110	302	25	goldberg	goldberg	PROPN
cana-3110	302	26	,	,	PUNCT
cana-3110	302	27	i.g	i.g	PROPN
cana-3110	302	28	.	.	PROPN
cana-3110	302	29	:	:	PUNCT
cana-3110	302	30	wndchrm{an	wndchrm{an	PROPN
cana-3110	302	31	open	open	ADJ
cana-3110	302	32	source	source	NOUN
cana-3110	302	33	utility	utility	NOUN
cana-3110	302	34	for	for	ADP
cana-3110	302	35	biological	biological	ADJ
cana-3110	302	36	image	image	NOUN
cana-3110	302	37	analysis	analysis	NOUN
cana-3110	302	38	.	.	PUNCT
cana-3110	303	1	source	source	NOUN
cana-3110	303	2	code	code	NOUN
cana-3110	303	3	for	for	ADP
cana-3110	303	4	biology	biology	NOUN
cana-3110	303	5	and	and	CCONJ
cana-3110	303	6	medicine	medicine	NOUN
cana-3110	303	7	3(1	3(1	NUM
cana-3110	303	8	)	)	PUNCT
cana-3110	303	9	,	,	PUNCT
cana-3110	303	10	13	13	NUM
cana-3110	303	11	(	(	PUNCT
cana-3110	303	12	2008	2008	NUM
cana-3110	303	13	)	)	PUNCT
cana-3110	303	14	.	.	PUNCT
cana-3110	304	1	[	[	X
cana-3110	304	2	5	5	NUM
cana-3110	304	3	]	]	X
cana-3110	304	4	kellgren	kellgren	PROPN
cana-3110	304	5	,	,	PUNCT
cana-3110	304	6	j.h	j.h	PROPN
cana-3110	304	7	.	.	PROPN
cana-3110	304	8	;	;	PUNCT
cana-3110	304	9	lawrance	lawrance	PROPN
cana-3110	304	10	,	,	PUNCT
cana-3110	304	11	j.s	j.s	PROPN
cana-3110	304	12	.	.	PROPN
cana-3110	304	13	radiological	radiological	ADJ
cana-3110	304	14	assessment	assessment	NOUN
cana-3110	304	15	of	of	ADP
cana-3110	304	16	osteo	osteo	NOUN
cana-3110	304	17	-	-	PUNCT
cana-3110	304	18	arthrosis	arthrosis	NOUN
cana-3110	304	19	.	.	PUNCT
cana-3110	305	1	ann	ann	PROPN
cana-3110	305	2	.	.	PUNCT
cana-3110	305	3	rheum	rheum	PROPN
cana-3110	305	4	.	.	PUNCT
cana-3110	306	1	dis	dis	PROPN
cana-3110	306	2	.	.	PUNCT
cana-3110	307	1	1957	1957	NUM
cana-3110	307	2	,	,	PUNCT
cana-3110	307	3	16	16	NUM
cana-3110	307	4	,	,	PUNCT
cana-3110	307	5	494–502	494–502	NUM
cana-3110	307	6	.	.	PUNCT
cana-3110	308	1	[	[	X
cana-3110	308	2	6	6	NUM
cana-3110	308	3	]	]	X
cana-3110	308	4	gan	gan	PROPN
cana-3110	308	5	,	,	PUNCT
cana-3110	308	6	h.	h.	PROPN
cana-3110	308	7	s.	s.	PROPN
cana-3110	308	8	,	,	PUNCT
cana-3110	308	9	tan	tan	PROPN
cana-3110	308	10	,	,	PUNCT
cana-3110	308	11	t.	t.	PROPN
cana-3110	308	12	s.	s.	PROPN
cana-3110	308	13	,	,	PUNCT
cana-3110	308	14	abdul	abdul	PROPN
cana-3110	308	15	,	,	PUNCT
cana-3110	308	16	k.	k.	PROPN
cana-3110	308	17	,	,	PUNCT
cana-3110	308	18	ahmad	ahmad	PROPN
cana-3110	308	19	,	,	PUNCT
cana-3110	308	20	h.	h.	PROPN
cana-3110	308	21	,	,	PUNCT
cana-3110	308	22	khairil	khairil	PROPN
cana-3110	308	23	,	,	PUNCT
cana-3110	308	24	a.	a.	PROPN
cana-3110	308	25	s.	s.	PROPN
cana-3110	308	26	,	,	PUNCT
cana-3110	308	27	abdul	abdul	PROPN
cana-3110	308	28	,	,	PUNCT
cana-3110	308	29	k.	k.	PROPN
cana-3110	308	30	r.	r.	PROPN
cana-3110	308	31	,	,	PUNCT
cana-3110	308	32	weng	weng	PROPN
cana-3110	308	33	,	,	PUNCT
cana-3110	308	34	k.	k.	PROPN
cana-3110	308	35	t.	t.	PROPN
cana-3110	308	36	,	,	PUNCT
cana-3110	308	37	liang	liang	PROPN
cana-3110	308	38	,	,	PUNCT
cana-3110	308	39	x.	x.	PROPN
cana-3110	308	40	w.	w.	PROPN
cana-3110	308	41	&	&	CCONJ
cana-3110	308	42	kashif	kashif	PROPN
cana-3110	308	43	,	,	PUNCT
cana-3110	308	44	t.	t.	PROPN
cana-3110	308	45	c.	c.	PROPN
cana-3110	308	46	2014	2014	NUM
cana-3110	308	47	.	.	PUNCT
cana-3110	309	1	medical	medical	ADJ
cana-3110	309	2	image	image	PROPN
cana-3110	309	3	visual	visual	ADJ
cana-3110	309	4	appearance	appearance	NOUN
cana-3110	309	5	improvement	improvement	NOUN
cana-3110	309	6	using	use	VERB
cana-3110	309	7	bihistogrambezier	bihistogrambezier	NOUN
cana-3110	309	8	curve	curve	NOUN
cana-3110	309	9	contrast	contrast	NOUN
cana-3110	309	10	enhancement	enhancement	NOUN
cana-3110	309	11	:	:	PUNCT
cana-3110	309	12	data	datum	NOUN
cana-3110	309	13	from	from	ADP
cana-3110	309	14	the	the	DET
cana-3110	309	15	osteoarthritis	osteoarthritis	NOUN
cana-3110	309	16	initiative	initiative	NOUN
cana-3110	309	17	.	.	PUNCT
cana-3110	310	1	the	the	DET
cana-3110	310	2	scientific	scientific	ADJ
cana-3110	310	3	world	world	NOUN
cana-3110	310	4	journal	journal	NOUN
cana-3110	310	5	.	.	PUNCT
cana-3110	311	1	[	[	X
cana-3110	311	2	7	7	NUM
cana-3110	311	3	]	]	X
cana-3110	311	4	dougherty	dougherty	PROPN
cana-3110	311	5	,	,	PUNCT
cana-3110	311	6	geoff	geoff	PROPN
cana-3110	311	7	.	.	PUNCT
cana-3110	311	8	2009	2009	NUM
cana-3110	311	9	.	.	PUNCT
cana-3110	312	1	digital	digital	ADJ
cana-3110	312	2	image	image	NOUN
cana-3110	312	3	processing	processing	NOUN
cana-3110	312	4	for	for	ADP
cana-3110	312	5	medical	medical	ADJ
cana-3110	312	6	applications	application	NOUN
cana-3110	312	7	.	.	PUNCT
cana-3110	313	1	cambridge	cambridge	PROPN
cana-3110	313	2	university	university	PROPN
cana-3110	313	3	press	press	NOUN
cana-3110	313	4	.	.	PUNCT
cana-3110	314	1	[	[	X
cana-3110	314	2	8	8	NUM
cana-3110	314	3	]	]	X
cana-3110	314	4	dar	dar	NOUN
cana-3110	314	5	,	,	PUNCT
cana-3110	314	6	s.	s.	PROPN
cana-3110	314	7	u.	u.	PROPN
cana-3110	314	8	,	,	PUNCT
cana-3110	314	9	yurt	yurt	PROPN
cana-3110	314	10	,	,	PUNCT
cana-3110	314	11	m.	m.	NOUN
cana-3110	314	12	,	,	PUNCT
cana-3110	314	13	karacan	karacan	PROPN
cana-3110	314	14	,	,	PUNCT
cana-3110	314	15	l.	l.	PROPN
cana-3110	314	16	,	,	PUNCT
cana-3110	314	17	erdem	erdem	PROPN
cana-3110	314	18	,	,	PUNCT
cana-3110	314	19	a.	a.	NOUN
cana-3110	314	20	,	,	PUNCT
cana-3110	314	21	erdem	erdem	PROPN
cana-3110	314	22	,	,	PUNCT
cana-3110	314	23	e.	e.	PROPN
cana-3110	314	24	,	,	PUNCT
cana-3110	314	25	&	&	CCONJ
cana-3110	314	26	çukur	çukur	NOUN
cana-3110	314	27	,	,	PUNCT
cana-3110	314	28	t.	t.	NOUN
cana-3110	314	29	2019	2019	NUM
cana-3110	314	30	.	.	PUNCT
cana-3110	314	31	image	image	NOUN
cana-3110	314	32	synthesis	synthesis	NOUN
cana-3110	314	33	in	in	ADP
cana-3110	314	34	multi	multi	ADJ
cana-3110	314	35	-	-	ADJ
cana-3110	314	36	contrast	contrast	ADJ
cana-3110	314	37	mri	mri	NOUN
cana-3110	314	38	with	with	ADP
cana-3110	314	39	conditional	conditional	ADJ
cana-3110	314	40	generative	generative	ADJ
cana-3110	314	41	adversarial	adversarial	ADJ
cana-3110	314	42	networks	network	NOUN
cana-3110	314	43	.	.	PUNCT
cana-3110	315	1	ieee	ieee	NOUN
cana-3110	315	2	transactions	transaction	NOUN
cana-3110	315	3	on	on	ADP
cana-3110	315	4	medical	medical	ADJ
cana-3110	315	5	imaging	imaging	NOUN
cana-3110	315	6	38(10	38(10	PROPN
cana-3110	315	7	):	):	PUNCT
cana-3110	315	8	2375	2375	NUM
cana-3110	315	9	-	-	SYM
cana-3110	315	10	2388	2388	NUM
cana-3110	315	11	.	.	PUNCT
cana-3110	316	1	[	[	X
cana-3110	316	2	9	9	NUM
cana-3110	316	3	]	]	X
cana-3110	316	4	gan	gan	PROPN
cana-3110	316	5	,	,	PUNCT
cana-3110	316	6	h.	h.	PROPN
cana-3110	316	7	s.	s.	PROPN
cana-3110	316	8	,	,	PUNCT
cana-3110	316	9	tan	tan	PROPN
cana-3110	316	10	,	,	PUNCT
cana-3110	316	11	t.	t.	PROPN
cana-3110	316	12	s	s	PROPN
cana-3110	316	13	,	,	PUNCT
cana-3110	316	14	abdul	abdul	PROPN
cana-3110	316	15	,	,	PUNCT
cana-3110	316	16	k.	k.	PROPN
cana-3110	316	17	r.	r.	PROPN
cana-3110	316	18	,	,	PUNCT
cana-3110	316	19	abdul	abdul	PROPN
cana-3110	316	20	,	,	PUNCT
cana-3110	316	21	k.	k.	PROPN
cana-3110	316	22	,	,	PUNCT
cana-3110	316	23	ahmad	ahmad	PROPN
cana-3110	316	24	,	,	PUNCT
cana-3110	316	25	h.	h.	PROPN
cana-3110	316	26	,	,	PUNCT
cana-3110	316	27	khairil	khairil	PROPN
cana-3110	316	28	,	,	PUNCT
cana-3110	316	29	a.	a.	PROPN
cana-3110	316	30	s.	s.	PROPN
cana-3110	316	31	,	,	PUNCT
cana-3110	316	32	liang	liang	PROPN
cana-3110	316	33	,	,	PUNCT
cana-3110	316	34	x.	x.	PROPN
cana-3110	316	35	w.	w.	PROPN
cana-3110	316	36	&	&	CCONJ
cana-3110	316	37	weng	weng	PROPN
cana-3110	316	38	,	,	PUNCT
cana-3110	316	39	k.	k.	PROPN
cana-3110	316	40	t.	t.	PROPN
cana-3110	316	41	2014	2014	NUM
cana-3110	316	42	.	.	PUNCT
cana-3110	317	1	medical	medical	ADJ
cana-3110	317	2	image	image	NOUN
cana-3110	317	3	contrast	contrast	NOUN
cana-3110	317	4	enhancement	enhancement	NOUN
cana-3110	317	5	using	use	VERB
cana-3110	317	6	spline	spline	NOUN
cana-3110	317	7	concept	concept	NOUN
cana-3110	317	8	:	:	PUNCT
cana-3110	317	9	data	datum	NOUN
cana-3110	317	10	from	from	ADP
cana-3110	317	11	the	the	DET
cana-3110	317	12	osteoarthritis	osteoarthritis	NOUN
cana-3110	317	13	initiative	initiative	NOUN
cana-3110	317	14	.	.	PUNCT
cana-3110	318	1	journal	journal	PROPN
cana-3110	318	2	of	of	ADP
cana-3110	318	3	medical	medical	ADJ
cana-3110	318	4	imaging	imaging	NOUN
cana-3110	318	5	and	and	CCONJ
cana-3110	318	6	health	health	NOUN
cana-3110	318	7	informatics4	informatics4	PROPN
cana-3110	318	8	:	:	PUNCT
cana-3110	318	9	511	511	NUM
cana-3110	318	10	-	-	SYM
cana-3110	318	11	20	20	NUM
cana-3110	318	12	.	.	PUNCT
cana-3110	319	1	[	[	X
cana-3110	319	2	10	10	NUM
cana-3110	319	3	]	]	PUNCT
cana-3110	319	4	mohammed	mohammed	PROPN
cana-3110	319	5	,	,	PUNCT
cana-3110	319	6	a.s	a.s	PROPN
cana-3110	319	7	.	.	PROPN
cana-3110	319	8	;	;	PUNCT
cana-3110	319	9	hasanaath	hasanaath	PROPN
cana-3110	319	10	,	,	PUNCT
cana-3110	319	11	a.a	a.a	PROPN
cana-3110	319	12	.	.	PROPN
cana-3110	319	13	;	;	PUNCT
cana-3110	319	14	latif	latif	PROPN
cana-3110	319	15	,	,	PUNCT
cana-3110	319	16	g.	g.	PROPN
cana-3110	319	17	;	;	PUNCT
cana-3110	319	18	bashar	bashar	PROPN
cana-3110	319	19	,	,	PUNCT
cana-3110	319	20	a.	a.	NOUN
cana-3110	319	21	knee	knee	NOUN
cana-3110	319	22	osteoarthritis	osteoarthritis	NOUN
cana-3110	319	23	detection	detection	NOUN
cana-3110	319	24	and	and	CCONJ
cana-3110	319	25	severity	severity	NOUN
cana-3110	319	26	classification	classification	NOUN
cana-3110	319	27	using	use	VERB
cana-3110	319	28	residual	residual	ADJ
cana-3110	319	29	neural	neural	ADJ
cana-3110	319	30	networks	network	NOUN
cana-3110	319	31	on	on	ADP
cana-3110	319	32	preprocessed	preprocesse	VERB
cana-3110	319	33	x	x	NOUN
cana-3110	319	34	-	-	NOUN
cana-3110	319	35	ray	ray	NOUN
cana-3110	319	36	images	image	NOUN
cana-3110	319	37	.	.	PUNCT
cana-3110	319	38	diagnostics	diagnostic	NOUN
cana-3110	319	39	2023	2023	NUM
cana-3110	319	40	,	,	PUNCT
cana-3110	319	41	13	13	NUM
cana-3110	319	42	,	,	PUNCT
cana-3110	319	43	1380	1380	NUM
cana-3110	319	44	.	.	PUNCT
cana-3110	320	1	[	[	X
cana-3110	320	2	11	11	NUM
cana-3110	320	3	]	]	X
cana-3110	320	4	khalid	khalid	PROPN
cana-3110	320	5	,	,	PUNCT
cana-3110	320	6	a.	a.	NOUN
cana-3110	320	7	;	;	PUNCT
cana-3110	320	8	senan	senan	PROPN
cana-3110	320	9	,	,	PUNCT
cana-3110	320	10	e.m	e.m	PROPN
cana-3110	320	11	.	.	PROPN
cana-3110	320	12	;	;	PUNCT
cana-3110	320	13	al	al	PROPN
cana-3110	320	14	-	-	PUNCT
cana-3110	320	15	wagih	wagih	PROPN
cana-3110	320	16	,	,	PUNCT
cana-3110	320	17	k.	k.	PROPN
cana-3110	320	18	;	;	PUNCT
cana-3110	320	19	ali	ali	PROPN
cana-3110	320	20	al	al	PROPN
cana-3110	320	21	-	-	PUNCT
cana-3110	320	22	azzam	azzam	PROPN
cana-3110	320	23	,	,	PUNCT
cana-3110	320	24	m.m	m.m	PROPN
cana-3110	320	25	.	.	PROPN
cana-3110	320	26	;	;	PUNCT
cana-3110	320	27	alkhraisha	alkhraisha	PROPN
cana-3110	320	28	,	,	PUNCT
cana-3110	320	29	z.m	z.m	PROPN
cana-3110	320	30	.	.	PROPN
cana-3110	320	31	hybrid	hybrid	ADJ
cana-3110	320	32	techniques	technique	NOUN
cana-3110	320	33	of	of	ADP
cana-3110	320	34	x	x	NOUN
cana-3110	320	35	-	-	NOUN
cana-3110	320	36	ray	ray	NOUN
cana-3110	320	37	analysis	analysis	NOUN
cana-3110	320	38	to	to	PART
cana-3110	320	39	predict	predict	VERB
cana-3110	320	40	knee	knee	NOUN
cana-3110	320	41	osteoarthritis	osteoarthritis	NOUN
cana-3110	320	42	grades	grade	NOUN
cana-3110	320	43	based	base	VERB
cana-3110	320	44	on	on	ADP
cana-3110	320	45	fusion	fusion	NOUN
cana-3110	320	46	features	feature	NOUN
cana-3110	320	47	of	of	ADP
cana-3110	320	48	cnn	cnn	PROPN
cana-3110	320	49	and	and	CCONJ
cana-3110	320	50	handcrafted	handcraft	VERB
cana-3110	320	51	.	.	PUNCT
cana-3110	320	52	diagnostics	diagnostic	NOUN
cana-3110	320	53	2023	2023	NUM
cana-3110	320	54	,	,	PUNCT
cana-3110	320	55	13	13	NUM
cana-3110	320	56	,	,	PUNCT
cana-3110	320	57	1609	1609	NUM
cana-3110	320	58	.	.	PUNCT
cana-3110	321	1	[	[	X
cana-3110	321	2	12	12	NUM
cana-3110	321	3	]	]	PUNCT
cana-3110	321	4	ahmed	ahmed	PROPN
cana-3110	321	5	,	,	PUNCT
cana-3110	321	6	s.m	s.m	PROPN
cana-3110	321	7	.	.	PROPN
cana-3110	321	8	;	;	PUNCT
cana-3110	321	9	mstafa	mstafa	PROPN
cana-3110	321	10	,	,	PUNCT
cana-3110	321	11	r.j	r.j	PROPN
cana-3110	321	12	.	.	NOUN
cana-3110	321	13	identifying	identify	VERB
cana-3110	321	14	severity	severity	NOUN
cana-3110	321	15	grading	grading	NOUN
cana-3110	321	16	of	of	ADP
cana-3110	321	17	knee	knee	NOUN
cana-3110	321	18	osteoarthritis	osteoarthritis	NOUN
cana-3110	321	19	from	from	ADP
cana-3110	321	20	x	x	ADJ
cana-3110	321	21	-	-	NOUN
cana-3110	321	22	ray	ray	NOUN
cana-3110	321	23	images	image	NOUN
cana-3110	321	24	using	use	VERB
cana-3110	321	25	an	an	DET
cana-3110	321	26	efficient	efficient	ADJ
cana-3110	321	27	mixture	mixture	NOUN
cana-3110	321	28	of	of	ADP
cana-3110	321	29	deep	deep	ADJ
cana-3110	321	30	learning	learning	NOUN
cana-3110	321	31	and	and	CCONJ
cana-3110	321	32	machine	machine	NOUN
cana-3110	321	33	learning	learning	NOUN
cana-3110	321	34	models	model	NOUN
cana-3110	321	35	.	.	PUNCT
cana-3110	322	1	diagnostics	diagnostic	NOUN
cana-3110	322	2	2022	2022	NUM
cana-3110	322	3	,	,	PUNCT
cana-3110	322	4	12	12	NUM
cana-3110	322	5	,	,	PUNCT
cana-3110	322	6	2939	2939	NUM
cana-3110	322	7	.	.	PUNCT
cana-3110	323	1	communications	communication	NOUN
cana-3110	323	2	on	on	ADP
cana-3110	323	3	applied	apply	VERB
cana-3110	323	4	nonlinear	nonlinear	ADJ
cana-3110	323	5	analysis	analysis	NOUN
cana-3110	323	6	issn	issn	NOUN
cana-3110	323	7	:	:	PUNCT
cana-3110	323	8	1074	1074	NUM
cana-3110	323	9	-	-	PUNCT
cana-3110	323	10	133x	133x	NUM
cana-3110	323	11	vol	vol	NOUN
cana-3110	323	12	32	32	NUM
cana-3110	323	13	no	no	NOUN
cana-3110	323	14	.	.	PUNCT
cana-3110	324	1	5s	5s	NUM
cana-3110	324	2	(	(	PUNCT
cana-3110	324	3	2025	2025	NUM
cana-3110	324	4	)	)	PUNCT
cana-3110	324	5	417	417	NUM
cana-3110	324	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3110	325	1	[	[	X
cana-3110	325	2	13	13	NUM
cana-3110	325	3	]	]	X
cana-3110	325	4	junru	junru	NOUN
cana-3110	325	5	zhong	zhong	PROPN
cana-3110	325	6	,	,	PUNCT
cana-3110	325	7	yongcheng	yongcheng	PROPN
cana-3110	325	8	yao	yao	PROPN
cana-3110	325	9	,	,	PUNCT
cana-3110	325	10	donal	donal	PROPN
cana-3110	325	11	cahill	cahill	PROPN
cana-3110	325	12	,	,	PUNCT
cana-3110	325	13	fan	fan	PROPN
cana-3110	325	14	xiao	xiao	PROPN
cana-3110	325	15	,	,	PUNCT
cana-3110	325	16	siyue	siyue	PROPN
cana-3110	325	17	li	li	PROPN
cana-3110	325	18	,	,	PUNCT
cana-3110	325	19	jack	jack	PROPN
cana-3110	325	20	lee	lee	PROPN
cana-3110	325	21	,	,	PUNCT
cana-3110	325	22	kevin	kevin	PROPN
cana-3110	325	23	ki	ki	PROPN
cana-3110	325	24	-	-	PUNCT
cana-3110	325	25	wai	wai	PROPN
cana-3110	325	26	ho	ho	PROPN
cana-3110	325	27	,	,	PUNCT
cana-3110	325	28	michael	michael	PROPN
cana-3110	325	29	tim	tim	PROPN
cana-3110	325	30	-	-	PUNCT
cana-3110	325	31	yun	yun	PROPN
cana-3110	325	32	ong	ong	PROPN
cana-3110	325	33	,	,	PUNCT
cana-3110	325	34	james	james	PROPN
cana-3110	325	35	griffith	griffith	PROPN
cana-3110	325	36	and	and	CCONJ
cana-3110	325	37	weitian	weitian	ADJ
cana-3110	325	38	,	,	PUNCT
cana-3110	325	39	“	"	PUNCT
cana-3110	325	40	unsupervised	unsupervised	ADJ
cana-3110	325	41	domain	domain	NOUN
cana-3110	325	42	adaptation	adaptation	NOUN
cana-3110	325	43	for	for	ADP
cana-3110	325	44	automated	automate	VERB
cana-3110	325	45	knee	knee	NOUN
cana-3110	325	46	osteoarthritis	osteoarthritis	NOUN
cana-3110	325	47	phenotype	phenotype	NOUN
cana-3110	325	48	classification	classification	NOUN
cana-3110	325	49	,	,	PUNCT
cana-3110	325	50	”	"	PUNCT
cana-3110	325	51	quantitative	quantitative	ADJ
cana-3110	325	52	imaging	imaging	NOUN
cana-3110	325	53	in	in	ADP
cana-3110	325	54	medicine	medicine	NOUN
cana-3110	325	55	and	and	CCONJ
cana-3110	325	56	surgery	surgery	NOUN
cana-3110	325	57	,	,	PUNCT
cana-3110	325	58	2023	2023	NUM
cana-3110	325	59	,	,	PUNCT
cana-3110	325	60	13(11	13(11	NUM
cana-3110	325	61	)	)	PUNCT
cana-3110	325	62	,	,	PUNCT
cana-3110	325	63	7444	7444	NUM
cana-3110	325	64	-	-	SYM
cana-3110	325	65	7458	7458	NUM
cana-3110	325	66	.	.	PUNCT
cana-3110	326	1	[	[	X
cana-3110	326	2	14	14	NUM
cana-3110	326	3	]	]	X
cana-3110	326	4	cueva	cueva	PROPN
cana-3110	326	5	,	,	PUNCT
cana-3110	326	6	j.h	j.h	PROPN
cana-3110	326	7	.	.	PROPN
cana-3110	326	8	;	;	PUNCT
cana-3110	326	9	castillo	castillo	PROPN
cana-3110	326	10	,	,	PUNCT
cana-3110	326	11	d.	d.	PROPN
cana-3110	326	12	;	;	PUNCT
cana-3110	326	13	espinós	espinós	PROPN
cana-3110	326	14	-	-	PUNCT
cana-3110	326	15	morató	morató	PROPN
cana-3110	326	16	,	,	PUNCT
cana-3110	326	17	h.	h.	PROPN
cana-3110	326	18	;	;	PUNCT
cana-3110	326	19	durán	durán	NOUN
cana-3110	326	20	,	,	PUNCT
cana-3110	326	21	d.	d.	PROPN
cana-3110	326	22	;	;	PUNCT
cana-3110	326	23	díaz	díaz	NOUN
cana-3110	326	24	,	,	PUNCT
cana-3110	326	25	p.	p.	NOUN
cana-3110	326	26	;	;	PUNCT
cana-3110	326	27	lakshminarayanan	lakshminarayanan	PROPN
cana-3110	326	28	,	,	PUNCT
cana-3110	326	29	v.	v.	ADP
cana-3110	326	30	detection	detection	NOUN
cana-3110	326	31	and	and	CCONJ
cana-3110	326	32	classification	classification	NOUN
cana-3110	326	33	of	of	ADP
cana-3110	326	34	knee	knee	NOUN
cana-3110	326	35	osteoarthritis	osteoarthritis	NOUN
cana-3110	326	36	.	.	PUNCT
cana-3110	327	1	diagnostics	diagnostic	NOUN
cana-3110	327	2	2022	2022	NUM
cana-3110	327	3	,	,	PUNCT
cana-3110	327	4	12	12	NUM
cana-3110	327	5	,	,	PUNCT
cana-3110	327	6	2362	2362	NUM
cana-3110	327	7	.	.	PUNCT
cana-3110	328	1	[	[	X
cana-3110	328	2	15	15	NUM
cana-3110	328	3	]	]	X
cana-3110	328	4	md	md	PROPN
cana-3110	328	5	.	.	PROPN
cana-3110	329	1	rezaul	rezaul	PROPN
cana-3110	329	2	karim	karim	PROPN
cana-3110	329	3	,	,	PUNCT
cana-3110	329	4	jiao	jiao	PROPN
cana-3110	329	5	jiao	jiao	PROPN
cana-3110	329	6	,	,	PUNCT
cana-3110	329	7	till	till	SCONJ
cana-3110	329	8	dohmen	dohman	NOUN
cana-3110	329	9	,	,	PUNCT
cana-3110	329	10	michael	michael	PROPN
cana-3110	329	11	cochez	cochez	PROPN
cana-3110	329	12	,	,	PUNCT
cana-3110	329	13	oya	oya	PROPN
cana-3110	329	14	bayan	bayan	PROPN
cana-3110	329	15	,	,	PUNCT
cana-3110	329	16	dietrich	dietrich	PROPN
cana-3110	329	17	rebholz	rebholz	PROPN
cana-3110	329	18	-	-	PUNCT
cana-3110	329	19	schuhmann	schuhmann	PROPN
cana-3110	329	20	and	and	CCONJ
cana-3110	329	21	stefen	stefen	PROPN
cana-3110	329	22	decker	decker	PROPN
cana-3110	329	23	,	,	PUNCT
cana-3110	329	24	“	"	PUNCT
cana-3110	329	25	deepkneeexplainer	deepkneeexplainer	NOUN
cana-3110	329	26	:	:	PUNCT
cana-3110	329	27	explainable	explainable	ADJ
cana-3110	329	28	knee	knee	NOUN
cana-3110	329	29	osteoarthritis	osteoarthritis	NOUN
cana-3110	329	30	diagnosis	diagnosis	NOUN
cana-3110	329	31	from	from	ADP
cana-3110	329	32	radiographs	radiograph	NOUN
cana-3110	329	33	and	and	CCONJ
cana-3110	329	34	magnetic	magnetic	ADJ
cana-3110	329	35	resonance	resonance	NOUN
cana-3110	329	36	imaging	imaging	NOUN
cana-3110	329	37	,	,	PUNCT
cana-3110	329	38	”	"	PUNCT
cana-3110	329	39	ieee	ieee	NOUN
cana-3110	329	40	access	access	NOUN
cana-3110	329	41	,	,	PUNCT
cana-3110	329	42	vol	vol	NOUN
cana-3110	329	43	.	.	NOUN
cana-3110	329	44	9	9	NUM
cana-3110	329	45	,	,	PUNCT
cana-3110	329	46	2021	2021	NUM
cana-3110	329	47	,	,	PUNCT
cana-3110	329	48	pp	pp	ADV
cana-3110	329	49	.	.	PUNCT
cana-3110	330	1	39757	39757	NUM
cana-3110	330	2	-	-	SYM
cana-3110	330	3	39780	39780	NUM
cana-3110	330	4	.	.	PUNCT
cana-3110	331	1	[	[	X
cana-3110	331	2	16	16	NUM
cana-3110	331	3	]	]	X
cana-3110	331	4	kevin	kevin	PROPN
cana-3110	331	5	thomas	thomas	PROPN
cana-3110	331	6	,	,	PUNCT
cana-3110	331	7	lukasz	lukasz	PROPN
cana-3110	331	8	kidzinski	kidzinski	PROPN
cana-3110	331	9	,	,	PUNCT
cana-3110	331	10	eni	eni	NOUN
cana-3110	331	11	halilaj	halilaj	PROPN
cana-3110	331	12	,	,	PUNCT
cana-3110	331	13	scott	scott	PROPN
cana-3110	331	14	flemming	flemming	PROPN
cana-3110	331	15	,	,	PUNCT
cana-3110	331	16	guhan	guhan	NOUN
cana-3110	331	17	venkatraman	venkatraman	NOUN
cana-3110	331	18	,	,	PUNCT
cana-3110	331	19	edwin	edwin	PROPN
cana-3110	331	20	h.	h.	PROPN
cana-3110	331	21	g.	g.	PROPN
cana-3110	331	22	oei	oei	PROPN
cana-3110	331	23	,	,	PUNCT
cana-3110	331	24	garry	garry	PROPN
cana-3110	331	25	gold	gold	PROPN
cana-3110	331	26	and	and	CCONJ
cana-3110	331	27	scott	scott	PROPN
cana-3110	331	28	delp	delp	PROPN
cana-3110	331	29	,	,	PUNCT
cana-3110	331	30	“	"	PUNCT
cana-3110	331	31	automated	automate	VERB
cana-3110	331	32	classification	classification	NOUN
cana-3110	331	33	of	of	ADP
cana-3110	331	34	radiographic	radiographic	ADJ
cana-3110	331	35	knee	knee	NOUN
cana-3110	331	36	osteoarthritis	osteoarthritis	NOUN
cana-3110	331	37	severity	severity	NOUN
cana-3110	331	38	using	use	VERB
cana-3110	331	39	deep	deep	ADJ
cana-3110	331	40	neural	neural	ADJ
cana-3110	331	41	networks	network	NOUN
cana-3110	331	42	,	,	PUNCT
cana-3110	331	43	”	"	PUNCT
cana-3110	331	44	radiology	radiology	NOUN
cana-3110	331	45	,	,	PUNCT
cana-3110	331	46	artificial	artificial	ADJ
cana-3110	331	47	intelligence	intelligence	NOUN
cana-3110	331	48	,	,	PUNCT
cana-3110	331	49	2020	2020	NUM
cana-3110	331	50	,	,	PUNCT
cana-3110	331	51	vol	vol	NOUN
cana-3110	331	52	.	.	PUNCT
cana-3110	332	1	2(2):e190065	2(2):e190065	NUM
cana-3110	332	2	.	.	PUNCT
cana-3110	333	1	[	[	X
cana-3110	333	2	17	17	NUM
cana-3110	333	3	]	]	PUNCT
cana-3110	333	4	fabi	fabi	PROPN
cana-3110	333	5	prezja	prezja	PROPN
cana-3110	333	6	,	,	PUNCT
cana-3110	333	7	juha	juha	PROPN
cana-3110	333	8	paloneva	paloneva	PROPN
cana-3110	333	9	,	,	PUNCT
cana-3110	333	10	ilkka	ilkka	NOUN
cana-3110	333	11	polonen	polonen	NOUN
cana-3110	333	12	,	,	PUNCT
cana-3110	333	13	esko	esko	PROPN
cana-3110	333	14	niinimaki	niinimaki	PROPN
cana-3110	333	15	and	and	CCONJ
cana-3110	333	16	sami	sami	PROPN
cana-3110	333	17	ayramo	ayramo	PROPN
cana-3110	333	18	,	,	PUNCT
cana-3110	333	19	“	"	PUNCT
cana-3110	333	20	deepfake	deepfake	VERB
cana-3110	333	21	knee	knee	NOUN
cana-3110	333	22	osteoarthritis	osteoarthritis	NOUN
cana-3110	333	23	xrays	xray	NOUN
cana-3110	333	24	from	from	ADP
cana-3110	333	25	generative	generative	ADJ
cana-3110	333	26	adversial	adversial	ADJ
cana-3110	333	27	neural	neural	ADJ
cana-3110	333	28	networks	network	NOUN
cana-3110	333	29	deceive	deceive	VERB
cana-3110	333	30	medical	medical	ADJ
cana-3110	333	31	experts	expert	NOUN
cana-3110	333	32	and	and	CCONJ
cana-3110	333	33	offer	offer	VERB
cana-3110	333	34	augmentation	augmentation	NOUN
cana-3110	333	35	potential	potential	NOUN
cana-3110	333	36	to	to	ADP
cana-3110	333	37	automatic	automatic	ADJ
cana-3110	333	38	classification	classification	NOUN
cana-3110	333	39	,	,	PUNCT
cana-3110	333	40	scientific	scientific	ADJ
cana-3110	333	41	reports	report	NOUN
cana-3110	333	42	,	,	PUNCT
cana-3110	333	43	2022	2022	NUM
cana-3110	333	44	,	,	PUNCT
cana-3110	333	45	12:18573	12:18573	NUM
cana-3110	333	46	.	.	PUNCT
cana-3110	334	1	[	[	X
cana-3110	334	2	18	18	NUM
cana-3110	334	3	]	]	X
cana-3110	334	4	kellgren	kellgren	PROPN
cana-3110	334	5	,	,	PUNCT
cana-3110	334	6	j.	j.	PROPN
cana-3110	334	7	h.	h.	PROPN
cana-3110	334	8	&	&	CCONJ
cana-3110	334	9	lawrence	lawrence	PROPN
cana-3110	334	10	,	,	PUNCT
cana-3110	334	11	j.	j.	PROPN
cana-3110	334	12	radiological	radiological	ADJ
cana-3110	334	13	assessment	assessment	NOUN
cana-3110	334	14	of	of	ADP
cana-3110	334	15	osteo	osteo	NOUN
cana-3110	334	16	-	-	PUNCT
cana-3110	334	17	arthrosis	arthrosis	NOUN
cana-3110	334	18	.	.	PUNCT
cana-3110	335	1	ann	ann	PROPN
cana-3110	335	2	.	.	PUNCT
cana-3110	335	3	rheum	rheum	PROPN
cana-3110	335	4	.	.	PUNCT
cana-3110	336	1	dis	dis	PROPN
cana-3110	336	2	.	.	PUNCT
cana-3110	337	1	16	16	NUM
cana-3110	337	2	,	,	PUNCT
cana-3110	337	3	494	494	NUM
cana-3110	337	4	(	(	PUNCT
cana-3110	337	5	1957	1957	NUM
cana-3110	337	6	)	)	PUNCT
cana-3110	337	7	.	.	PUNCT
cana-3110	338	1	[	[	X
cana-3110	338	2	19	19	NUM
cana-3110	338	3	]	]	SYM
cana-3110	338	4	tiwari	tiwari	PROPN
cana-3110	338	5	,	,	PUNCT
cana-3110	338	6	s.	s.	PROPN
cana-3110	338	7	knee	knee	PROPN
cana-3110	338	8	osteoarthritis	osteoarthritis	PROPN
cana-3110	338	9	dataset	dataset	VERB
cana-3110	338	10	with	with	ADP
cana-3110	338	11	severity	severity	NOUN
cana-3110	338	12	grading	grade	VERB
cana-3110	338	13	.	.	PUNCT
cana-3110	339	1	kaggle	kaggle	PROPN
cana-3110	339	2	.	.	PUNCT
cana-3110	340	1	available	available	ADJ
cana-3110	340	2	online	online	ADV
cana-3110	340	3	:	:	PUNCT
cana-3110	340	4	https://www.kaggle.com/datasets/shashwatwork/knee-osteoarthritis-dataset-withseverity?resource=download&select=auto_test	https://www.kaggle.com/datasets/shashwatwork/knee-osteoarthritis-dataset-withseverity?resource=download&select=auto_t	ADJ
cana-3110	341	1	[	[	X
cana-3110	341	2	20	20	NUM
cana-3110	341	3	]	]	X
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cana-3110	341	5	,	,	PUNCT
cana-3110	341	6	a.	a.	NOUN
cana-3110	341	7	,	,	PUNCT
cana-3110	341	8	&	&	CCONJ
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cana-3110	341	15	.	.	PUNCT
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cana-3110	342	2	pneumonia	pneumonia	NOUN
cana-3110	342	3	diagnosis	diagnosis	NOUN
cana-3110	342	4	and	and	CCONJ
cana-3110	342	5	prediction	prediction	NOUN
cana-3110	342	6	through	through	ADP
cana-3110	342	7	deep	deep	ADJ
cana-3110	342	8	neural	neural	ADJ
cana-3110	342	9	networks	network	NOUN
cana-3110	342	10	.	.	PUNCT
cana-3110	343	1	optimized	optimize	VERB
cana-3110	343	2	predictive	predictive	ADJ
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cana-3110	343	4	in	in	ADP
cana-3110	343	5	healthcare	healthcare	NOUN
cana-3110	343	6	using	use	VERB
cana-3110	343	7	machine	machine	NOUN
cana-3110	343	8	learning	learning	NOUN
cana-3110	343	9	,	,	PUNCT
cana-3110	343	10	135	135	NUM
cana-3110	343	11	-	-	SYM
cana-3110	343	12	149	149	NUM
cana-3110	343	13	.	.	PUNCT
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cana-3110	344	2	21	21	NUM
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cana-3110	344	5	tariq	tariq	PROPN
cana-3110	344	6	,	,	PUNCT
cana-3110	344	7	z.	z.	PROPN
cana-3110	344	8	suhail	suhail	PROPN
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cana-3110	344	10	z.	z.	PROPN
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cana-3110	344	21	-	-	NOUN
cana-3110	344	22	rays	ray	NOUN
cana-3110	344	23	,	,	PUNCT
cana-3110	344	24	"	"	PUNCT
cana-3110	344	25	in	in	ADP
cana-3110	344	26	ieee	ieee	NOUN
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cana-3110	344	28	,	,	PUNCT
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cana-3110	344	30	.	.	PROPN
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cana-3110	344	32	,	,	PUNCT
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cana-3110	344	34	.	.	PUNCT
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cana-3110	344	36	-	-	SYM
cana-3110	344	37	48303	48303	NUM
cana-3110	344	38	,	,	PUNCT
cana-3110	344	39	2023	2023	NUM
cana-3110	344	40	,	,	PUNCT
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cana-3110	344	42	:	:	PUNCT
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cana-3110	344	44	/	/	SYM
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cana-3110	344	46	.	.	PUNCT
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cana-3110	345	2	22	22	NUM
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cana-3110	345	5	,	,	PUNCT
cana-3110	345	6	s.	s.	PROPN
cana-3110	345	7	,	,	PUNCT
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cana-3110	345	9	,	,	PUNCT
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cana-3110	345	11	,	,	PUNCT
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cana-3110	345	13	,	,	PUNCT
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cana-3110	345	15	,	,	PUNCT
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cana-3110	345	17	,	,	PUNCT
cana-3110	345	18	n.	n.	NOUN
cana-3110	345	19	,	,	PUNCT
cana-3110	345	20	maurya	maurya	PROPN
cana-3110	345	21	,	,	PUNCT
cana-3110	345	22	s.	s.	PROPN
cana-3110	345	23	,	,	PUNCT
cana-3110	345	24	&	&	CCONJ
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cana-3110	345	26	,	,	PUNCT
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cana-3110	345	28	(	(	PUNCT
cana-3110	345	29	2025	2025	NUM
cana-3110	345	30	)	)	PUNCT
cana-3110	345	31	.	.	PUNCT
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cana-3110	346	2	machine	machine	NOUN
cana-3110	346	3	learning	learning	NOUN
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cana-3110	346	7	stone	stone	NOUN
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cana-3110	346	10	:	:	PUNCT
cana-3110	346	11	a	a	DET
cana-3110	346	12	prospective	prospective	ADJ
cana-3110	346	13	validation	validation	NOUN
cana-3110	346	14	using	use	VERB
cana-3110	346	15	cldn11	cldn11	PROPN
cana-3110	346	16	genetic	genetic	ADJ
cana-3110	346	17	data	datum	NOUN
cana-3110	346	18	and	and	CCONJ
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cana-3110	346	21	.	.	PUNCT
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cana-3110	347	6	ai	ai	PROPN
cana-3110	347	7	,	,	PUNCT
cana-3110	347	8	computer	computer	NOUN
cana-3110	347	9	vision	vision	NOUN
cana-3110	347	10	,	,	PUNCT
cana-3110	347	11	and	and	CCONJ
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cana-3110	347	18	.	.	PUNCT
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cana-3110	348	2	23	23	NUM
cana-3110	348	3	]	]	PUNCT
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cana-3110	348	5	,	,	PUNCT
cana-3110	348	6	s.	s.	PROPN
cana-3110	348	7	s.	s.	PROPN
cana-3110	348	8	,	,	PUNCT
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cana-3110	348	10	,	,	PUNCT
cana-3110	348	11	p.	p.	NOUN
cana-3110	348	12	u.	u.	PROPN
cana-3110	348	13	,	,	PUNCT
cana-3110	348	14	&	&	CCONJ
cana-3110	348	15	manza	manza	PROPN
cana-3110	348	16	,	,	PUNCT
cana-3110	348	17	r.	r.	PROPN
cana-3110	348	18	r.	r.	PROPN
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cana-3110	348	21	)	)	PUNCT
cana-3110	348	22	.	.	PUNCT
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cana-3110	349	4	using	use	VERB
cana-3110	349	5	knee	knee	NOUN
cana-3110	349	6	x	x	NOUN
cana-3110	349	7	-	-	NOUN
cana-3110	349	8	ray	ray	NOUN
cana-3110	349	9	image	image	NOUN
cana-3110	349	10	analyses	analyse	VERB
cana-3110	349	11	:	:	PUNCT
cana-3110	349	12	a	a	DET
cana-3110	349	13	machine	machine	NOUN
cana-3110	349	14	vision	vision	NOUN
cana-3110	349	15	based	base	VERB
cana-3110	349	16	approach	approach	NOUN
cana-3110	349	17	.	.	PUNCT
cana-3110	350	1	int	int	NOUN
cana-3110	350	2	.	.	PUNCT
cana-3110	351	1	j.	j.	PROPN
cana-3110	351	2	comput	comput	PROPN
cana-3110	351	3	.	.	PUNCT
cana-3110	352	1	appl	appl	PROPN
cana-3110	352	2	,	,	PUNCT
cana-3110	352	3	145(1	145(1	NUM
cana-3110	352	4	)	)	PUNCT
cana-3110	352	5	,	,	PUNCT
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cana-3110	352	7	-	-	SYM
cana-3110	352	8	26	26	NUM
cana-3110	352	9	.	.	PUNCT
cana-3110	353	1	[	[	X
cana-3110	353	2	24	24	NUM
cana-3110	353	3	]	]	SYM
cana-3110	353	4	zhang	zhang	PROPN
cana-3110	353	5	,	,	PUNCT
cana-3110	353	6	c.	c.	PROPN
cana-3110	353	7	,	,	PUNCT
cana-3110	353	8	zhu	zhu	PROPN
cana-3110	353	9	,	,	PUNCT
cana-3110	353	10	c.	c.	PROPN
cana-3110	353	11	,	,	PUNCT
cana-3110	353	12	xiao	xiao	PROPN
cana-3110	353	13	,	,	PUNCT
cana-3110	353	14	j.	j.	PROPN
cana-3110	353	15	,	,	PUNCT
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cana-3110	353	17	,	,	PUNCT
cana-3110	353	18	x.	x.	PROPN
cana-3110	353	19	,	,	PUNCT
cana-3110	353	20	&	&	CCONJ
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cana-3110	353	22	,	,	PUNCT
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cana-3110	353	29	.	.	PUNCT
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cana-3110	354	3	classification	classification	NOUN
cana-3110	354	4	and	and	CCONJ
cana-3110	354	5	understanding	understanding	NOUN
cana-3110	354	6	:	:	PUNCT
cana-3110	354	7	grid	grid	NOUN
cana-3110	354	8	dropout	dropout	NOUN
cana-3110	354	9	with	with	ADP
cana-3110	354	10	masking	masking	NOUN
cana-3110	354	11	label	label	NOUN
cana-3110	354	12	.	.	PUNCT
cana-3110	355	1	in	in	ADP
cana-3110	355	2	2018	2018	NUM
cana-3110	355	3	ieee	ieee	NOUN
cana-3110	355	4	international	international	ADJ
cana-3110	355	5	conference	conference	NOUN
cana-3110	355	6	on	on	ADP
cana-3110	355	7	multimedia	multimedia	NOUN
cana-3110	355	8	and	and	CCONJ
cana-3110	355	9	expo	expo	NOUN
cana-3110	355	10	(	(	PUNCT
cana-3110	355	11	icme	icme	PROPN
cana-3110	355	12	)	)	PUNCT
cana-3110	355	13	(	(	PUNCT
cana-3110	355	14	pp	pp	X
cana-3110	355	15	.	.	PUNCT
cana-3110	356	1	1	1	NUM
cana-3110	356	2	-	-	SYM
cana-3110	356	3	6	6	NUM
cana-3110	356	4	)	)	PUNCT
cana-3110	356	5	.	.	PUNCT
cana-3110	357	1	ieee	ieee	PROPN
cana-3110	357	2	.	.	PUNCT
cana-3110	358	1	https://www.kaggle.com/datasets/shashwatwork/knee-osteoarthritis-dataset-with-severity?resource=download&select=auto_test	https://www.kaggle.com/datasets/shashwatwork/knee-osteoarthritis-dataset-with-severity?resource=download&select=auto_t	ADJ
cana-3110	358	2	https://www.kaggle.com/datasets/shashwatwork/knee-osteoarthritis-dataset-with-severity?resource=download&select=auto_test	https://www.kaggle.com/datasets/shashwatwork/knee-osteoarthritis-dataset-with-severity?resource=download&select=auto_t	ADJ