id	sid	eid	entity	type
cana-5752	1	1	1074	CARDINAL
cana-5752	1	2	32	CARDINAL
cana-5752	2	1	3s	CARDINAL
cana-5752	2	2	2025	CARDINAL
cana-5752	2	3	759	CARDINAL
cana-5752	2	4	begum1	PERSON
cana-5752	2	5	khaja	PERSON
cana-5752	3	1	t.k.	PERSON
cana-5752	3	2	shaik shavali3 1	PERSON
cana-5752	3	3	hyderabad	GPE
cana-5752	3	4	telangana 2associate	ORG
cana-5752	3	5	hyderabad	GPE
cana-5752	3	6	telangana 3professor	ORG
cana-5752	3	7	hyderabad	GPE
cana-5752	3	8	telangana	GPE
cana-5752	3	9	12-01-2025	CARDINAL
cana-5752	3	10	15-02-2025	CARDINAL
cana-5752	3	11	01-03-2025	CARDINAL
cana-5752	13	1	1	CARDINAL
cana-5752	13	2	the show decade	DATE
cana-5752	13	3	1	CARDINAL
cana-5752	14	1	2	CARDINAL
cana-5752	15	1	two	CARDINAL
cana-5752	16	1	3	CARDINAL
cana-5752	18	1	american	NORP
cana-5752	18	2	1%	PERCENT
cana-5752	18	3	4	CARDINAL
cana-5752	22	1	1074	CARDINAL
cana-5752	22	2	32	CARDINAL
cana-5752	23	1	3s	CARDINAL
cana-5752	23	2	2025	CARDINAL
cana-5752	23	3	760	CARDINAL
cana-5752	23	4	5	CARDINAL
cana-5752	25	1	3	CARDINAL
cana-5752	26	1	bcc	ORG
cana-5752	27	1	bcc	ORG
cana-5752	27	2	sgc	ORG
cana-5752	30	1	6	CARDINAL
cana-5752	37	1	2	CARDINAL
cana-5752	37	2	cnn	ORG
cana-5752	37	3	vgg‑16	PRODUCT
cana-5752	38	1	cnn	ORG
cana-5752	38	2	≈ 	CARDINAL
cana-5752	38	3	5 %	PERCENT
cana-5752	38	4	90 %	PERCENT
cana-5752	39	1	1074	CARDINAL
cana-5752	39	2	32	CARDINAL
cana-5752	40	1	3s	CARDINAL
cana-5752	40	2	2025	CARDINAL
cana-5752	40	3	761	CARDINAL
cana-5752	40	4	3	CARDINAL
cana-5752	40	5	5.1	CARDINAL
cana-5752	40	6	5.1	CARDINAL
cana-5752	40	7	rgb	ORG
cana-5752	40	8	4	CARDINAL
cana-5752	41	1	1074	CARDINAL
cana-5752	41	2	32	CARDINAL
cana-5752	42	1	3s	CARDINAL
cana-5752	42	2	762	CARDINAL
cana-5752	43	1	7	CARDINAL
cana-5752	43	2	0 to 6	CARDINAL
cana-5752	45	1	•	CARDINAL
cana-5752	46	1	•	CARDINAL
cana-5752	48	1	1341	CARDINAL
cana-5752	49	1	1 0.98 1.00	MONEY
cana-5752	49	2	2 0.95 0.97 0.96	QUANTITY
cana-5752	49	3	3 1.00 1.00 1.00	CARDINAL
cana-5752	49	4	4 0.97 0.86 0.91	QUANTITY
cana-5752	49	5	5 1.00 1.00 1.00	CARDINAL
cana-5752	49	6	6 0.91 0.97 0.94	QUANTITY
cana-5752	49	7	•	CARDINAL
cana-5752	49	8	0.97	CARDINAL
cana-5752	49	9	97%	PERCENT
cana-5752	50	1	•	CARDINAL
cana-5752	50	2	0.97	CARDINAL
cana-5752	51	1	•	CARDINAL
cana-5752	51	2	0.97	CARDINAL
cana-5752	52	1	xgboost	PERSON
cana-5752	52	2	•	CARDINAL
cana-5752	52	3	97%	PERCENT
cana-5752	52	4	86%	PERCENT
cana-5752	52	5	•	CARDINAL
cana-5752	52	6	•	CARDINAL
cana-5752	52	7	3 and 5	CARDINAL
cana-5752	52	8	1074	CARDINAL
cana-5752	52	9	32	CARDINAL
cana-5752	53	1	3s	CARDINAL
cana-5752	53	2	2025	CARDINAL
cana-5752	53	3	763	CARDINAL
cana-5752	53	4	4	CARDINAL
cana-5752	53	5	xgboost	PERSON
cana-5752	54	1	• xgboost	PERSON
cana-5752	55	1	•	CARDINAL
cana-5752	56	1	4	CARDINAL
cana-5752	57	1	•	CARDINAL
cana-5752	59	1	7	CARDINAL
cana-5752	59	2	0	CARDINAL
cana-5752	59	3	6	CARDINAL
cana-5752	61	1	1074	CARDINAL
cana-5752	61	2	32	CARDINAL
cana-5752	62	1	3s	CARDINAL
cana-5752	62	2	2025	CARDINAL
cana-5752	62	3	764	CARDINAL
cana-5752	62	4	•	CARDINAL
cana-5752	63	1	•	CARDINAL
cana-5752	64	1	•	CARDINAL
cana-5752	65	1	•	CARDINAL
cana-5752	66	1	0 1337 / 1341 1 1336 / 1341 2 1307	QUANTITY
cana-5752	67	1	5	CARDINAL
cana-5752	67	2	zero	CARDINAL
cana-5752	67	3	0	CARDINAL
cana-5752	67	4	1	CARDINAL
cana-5752	67	5	3	CARDINAL
cana-5752	68	1	•	CARDINAL
cana-5752	68	2	4	CARDINAL
cana-5752	68	3	2	CARDINAL
cana-5752	68	4	60	CARDINAL
cana-5752	68	5	6	CARDINAL
cana-5752	68	6	105	CARDINAL
cana-5752	68	7	191 •	CARDINAL
cana-5752	68	8	2	CARDINAL
cana-5752	68	9	4	CARDINAL
cana-5752	68	10	12	CARDINAL
cana-5752	68	11	6	CARDINAL
cana-5752	68	12	15	CARDINAL
cana-5752	68	13	•	CARDINAL
cana-5752	68	14	6	CARDINAL
cana-5752	68	15	4	CARDINAL
cana-5752	68	16	24	CARDINAL
cana-5752	68	17	4	CARDINAL
cana-5752	68	18	0.86	CARDINAL
cana-5752	69	1	1074	CARDINAL
cana-5752	69	2	32	CARDINAL
cana-5752	70	1	3s	CARDINAL
cana-5752	70	2	2025	CARDINAL
cana-5752	70	3	765	CARDINAL
cana-5752	70	4	•	CARDINAL
cana-5752	71	1	•	CARDINAL
cana-5752	71	2	4	CARDINAL
cana-5752	71	3	2 and 6	DATE
cana-5752	72	1	•	CARDINAL
cana-5752	73	1	•	CARDINAL
cana-5752	73	2	4	DATE
cana-5752	73	3	2	DATE
cana-5752	73	4	6	CARDINAL
cana-5752	74	1	•	CARDINAL
cana-5752	75	1	•	CARDINAL
cana-5752	75	2	4	CARDINAL
cana-5752	76	1	xgboost	PERSON
cana-5752	78	1	roc	GPE
cana-5752	78	2	roc	GPE
cana-5752	78	3	xgboost	PERSON
cana-5752	78	4	7	CARDINAL
cana-5752	78	5	0 to 6	CARDINAL
cana-5752	79	1	1074	CARDINAL
cana-5752	79	2	32	CARDINAL
cana-5752	80	1	3s	CARDINAL
cana-5752	80	2	2025	CARDINAL
cana-5752	80	3	766	CARDINAL
cana-5752	80	4	roc	GPE
cana-5752	81	1	•	CARDINAL
cana-5752	81	2	roc	GPE
cana-5752	82	1	•	CARDINAL
cana-5752	83	1	1.00	CARDINAL
cana-5752	84	1	≈ 0.5	CARDINAL
cana-5752	84	2	roc	GPE
cana-5752	84	3	0 1.00	CARDINAL
cana-5752	84	4	1 1.00	CARDINAL
cana-5752	84	5	2 1.00	CARDINAL
cana-5752	84	6	3 1.00	CARDINAL
cana-5752	84	7	4 0.99	CARDINAL
cana-5752	84	8	5 1.00	CARDINAL
cana-5752	84	9	6 1.00	CARDINAL
cana-5752	84	10	•	CARDINAL
cana-5752	84	11	•	CARDINAL
cana-5752	84	12	•	CARDINAL
cana-5752	84	13	•	CARDINAL
cana-5752	85	1	•	CARDINAL
cana-5752	85	2	4	CARDINAL
cana-5752	85	3	0.99	CARDINAL
cana-5752	86	1	•	CARDINAL
cana-5752	86	2	1.00	CARDINAL
cana-5752	87	1	1074	CARDINAL
cana-5752	87	2	32	CARDINAL
cana-5752	88	1	3s	CARDINAL
cana-5752	88	2	2025	CARDINAL
cana-5752	88	3	767	CARDINAL
cana-5752	88	4	•	CARDINAL
cana-5752	88	5	xgboost	PERSON
cana-5752	89	1	•	CARDINAL
cana-5752	91	1	•	CARDINAL
cana-5752	92	1	roc	GPE
cana-5752	92	2	1.00	CARDINAL
cana-5752	92	3	xgboost	PERSON
cana-5752	94	1	5	CARDINAL
cana-5752	97	1	convnextv2	WORK_OF_ART
cana-5752	97	2	over 93%	PERCENT
cana-5752	98	1	.be	ORG
cana-5752	102	1	1074	CARDINAL
cana-5752	102	2	32	CARDINAL
cana-5752	103	1	3s	CARDINAL
cana-5752	103	2	2025	CARDINAL
cana-5752	103	3	768	CARDINAL
cana-5752	104	1	up to ~7%	PERCENT
cana-5752	105	1	3d	CARDINAL
cana-5752	108	1	1.ashraf	CARDINAL
cana-5752	108	2	r.	NORP
cana-5752	108	3	afzal s.	PERSON
cana-5752	108	4	rehman a.u.	PERSON
cana-5752	108	5	gul s.	PERSON
cana-5752	108	6	baber j.	PERSON
cana-5752	108	7	bakhtyar m.	PERSON
cana-5752	108	8	mehmood i.	PERSON
cana-5752	108	9	o.y.	GPE
cana-5752	108	10	maqsood m. region-of	PERSON
cana-5752	110	1	2020;8:147858–147871	CARDINAL
cana-5752	111	1	10.1109/access.2020.3014701	MONEY
cana-5752	112	1	2.byrd	CARDINAL
cana-5752	112	2	a.l.	GPE
cana-5752	112	3	belkaid y.	PERSON
cana-5752	116	1	2018;16:143–155	DATE
cana-5752	116	2	10.1038	CARDINAL
cana-5752	118	1	3.elgamal	CARDINAL
cana-5752	120	1	2013;4	CARDINAL
cana-5752	120	2	10.14569	CARDINAL
cana-5752	121	1	4.key	CARDINAL
cana-5752	122	1	8 february 2021)];am	DATE
cana-5752	125	1	5.khan	CARDINAL
cana-5752	125	2	m.q.	GPE
cana-5752	125	3	hussain a.	PERSON
cana-5752	125	4	rehman s.u.	PERSON
cana-5752	125	5	khan	GPE
cana-5752	125	6	maqsood m.	PERSON
cana-5752	125	7	mehmood k.	PERSON
cana-5752	126	1	khan m.a	PERSON
cana-5752	128	1	2019;7:90132–90144	ORDINAL
cana-5752	129	1	10.1109	CARDINAL
cana-5752	130	1	6.premier	CARDINAL
cana-5752	131	1	6	CARDINAL
cana-5752	131	2	https://scholar.google.com/scholar_lookup?journal=ijacsa&title=automatic%20skin%20cancer%20images%20classification&author=m.%20elgamal&volume=4&publication_year=2013&doi=10.14569/ijacsa.2013.040342& https://www.cancer.org/content/dam/crc/pdf/public/8823.00.pdf https://doi.org/10.1109/access.2019.2926837 https://scholar.google.com/scholar_lookup?journal=ieee%20access&title=classification%20of%20melanoma%20and%20nevus%20in%20digital%20images%20for%20diagnosis%20of%20skin%20cancer&author=m.q.%20khan&author=a.%20hussain&author=s.u.%20rehman&author=u.%20khan&author=m.%20maqsood&volume=7&publication_year=2019&pages=90132-90144&doi=10.1109/access.2019.2926837& communications	ORG
cana-5752	131	3	1074	CARDINAL
cana-5752	131	4	32	CARDINAL
cana-5752	132	1	3s	CARDINAL
cana-5752	132	2	2025	CARDINAL
cana-5752	132	3	769	CARDINAL
cana-5752	133	1	7.rashid h.	DATE
cana-5752	133	2	tanveer m.a.	PERSON
cana-5752	133	3	aqeel khan h.	PERSON
cana-5752	133	4	2019 41st	DATE
cana-5752	133	5	annual	DATE
cana-5752	133	6	berlin	GPE
cana-5752	133	7	germany	GPE
cana-5752	134	1	23	CARDINAL
cana-5752	134	2	27 july 2019	DATE
cana-5752	135	1	916–919	CARDINAL
cana-5752	137	1	8.bisla	CARDINAL
cana-5752	137	2	choromanska a.	PERSON
cana-5752	137	3	stein j.a.	PERSON
cana-5752	137	4	polsky d.	PERSON
cana-5752	137	5	berman r.	PERSON
cana-5752	138	1	10 february 2021)];arxiv	DATE
cana-5752	138	2	2019	CARDINAL
cana-5752	140	1	9.farag	CARDINAL
cana-5752	140	2	lu l.	PERSON
cana-5752	140	3	roth	PERSON
cana-5752	140	4	liu j.	PERSON
cana-5752	140	5	turkbey e.	PERSON
cana-5752	143	1	2017;26:386–399	CARDINAL
cana-5752	144	1	10.1109	CARDINAL
cana-5752	146	1	10.schlosser	CARDINAL
cana-5752	146	2	r.w.	GPE
cana-5752	148	1	2 february 2021)];focus	DATE
cana-5752	149	1	2006 15:1–4	DATE
cana-5752	151	1	https://ktdrr.org/ktlibrary/articles_pubs/ncddrwork/focus/focus15	CARDINAL
cana-5752	152	1	11.mallett	CARDINAL
cana-5752	152	2	r.	NORP
cana-5752	152	3	hagen-zanker j.	PERSON
cana-5752	152	4	slater r.	PERSON
cana-5752	152	5	duvendack m.	PERSON
cana-5752	153	1	j. dev	PERSON
cana-5752	155	1	2012;4:445–455	CARDINAL
cana-5752	157	1	12.milton	CARDINAL
cana-5752	158	1	isic 2018	ORG
cana-5752	159	1	22 january 2021)];arxiv	DATE
cana-5752	159	2	2019	CARDINAL
cana-5752	160	1	https://www.premiersurgical.com/01/whats-the-difference-between-melanoma-and-non-melanoma-skin-cancer/ https://www.premiersurgical.com/01/whats-the-difference-between-melanoma-and-non-melanoma-skin-cancer/ https://doi.org/10.1109/embc.2019.8857905	PERSON
cana-5752	161	1	https://scholar.google.com/scholar_lookup?journal=proceedings%20of%20the%202019%2041st%20annual%20international%20conference%20of%20the%20ieee%20engineering%20in%20medicine%20and%20biology%20society%20(embc)&title=skin%20lesion%20classification%20using%20gan%20based%20data%20augmentation&author=h.%20rashid&author=m.a.%20tanveer&author=h.%20aqeel%20khan&pages=916-919&pmid=31946043&doi=10.1109/embc.2019.8857905& http://arxiv.org/abs/1902.06061 https://scholar.google.com/scholar_lookup?journal=arxiv&title=towards%20automated%20melanoma%20detection%20with%20deep%20learning:%20data%20purification%20and%20augmentation&author=d.%20bisla&author=a.%20choromanska&author=j.a.%20stein&author=d.%20polsky&author=r.%20berman&publication_year=2019&	ORG
cana-5752	161	2	https://scholar.google.com/scholar_lookup?journal=ieee%20trans.%20image%20process.&title=a%20bottom-up%20approach%20for%20pancreas%20segmentation%20using%20cascaded%20superpixels%20and%20(deep)%20image%20patch%20labeling&author=a.%20farag&author=l.%20lu&author=h.r.%20roth&author=j.%20liu&author=e.%20turkbey&volume=26&publication_year=2017&pages=386-399&pmid=27831881&doi=10.1109/tip.2016.2624198& https://ktdrr.org/ktlibrary/articles_pubs/ncddrwork/focus/focus15	ORG
cana-5752	161	3	https://scholar.google.com/scholar_lookup?journal=focus&title=the%20role%20of%20systematic%20reviews%20in%20evidence-based%20practice,%20research%20and%20development&author=r.w.%20schlosser&volume=15&publication_year=2006&pages=1-4& https://scholar.google.com/scholar_lookup?journal=focus&title=the%20role%20of%20systematic%20reviews%20in%20evidence-based%20practice,%20research%20and%20development&author=r.w.%20schlosser&volume=15&publication_year=2006&pages=1-4& https://doi.org/10.1080/19439342.2012.711342 https://scholar.google.com/scholar_lookup?journal=j.%20dev.%20eff.&title=the%20benefits%20and%20challenges%20of%20using%20systematic%20reviews%20in%20international%20development%20research&author=r.%20mallett&author=j.%20hagen-zanker&author=r.%20slater&author=m.%20duvendack&volume=4&publication_year=2012&pages=445-455&doi=10.1080/19439342.2012.711342& http://arxiv.org/abs/1901.10802 https://scholar.google.com/scholar_lookup?journal=arxiv&title=automated%20skin%20lesion%20classification%20using%20ensemble%20of%20deep%20neural%20networks%20in%20isic%202018:%20skin%20lesion%20analysis%20towards%20melanoma%20detection%20challenge&author=m.a.a.%20milton&publication_year=2019&	ORG