264 related articles for article (PubMed ID: 29993590)
1. Biologically Inspired QuadTree Color Detection in Dermoscopy Images of Melanoma.
Sabbaghi Mahmouei S; Aldeen M; Stoecker WV; Garnavi R
IEEE J Biomed Health Inform; 2019 Mar; 23(2):570-577. PubMed ID: 29993590
[TBL] [Abstract][Full Text] [Related]
2. Real-time supervised detection of pink areas in dermoscopic images of melanoma: importance of color shades, texture and location.
Kaur R; Albano PP; Cole JG; Hagerty J; LeAnder RW; Moss RH; Stoecker WV
Skin Res Technol; 2015 Nov; 21(4):466-73. PubMed ID: 25809473
[TBL] [Abstract][Full Text] [Related]
3. Statistical Detection of Colors in Dermoscopic Images With a Texton-Based Estimation of Probabilities.
Saez A; Acha B; Serrano A; Serrano C
IEEE J Biomed Health Inform; 2019 Mar; 23(2):560-569. PubMed ID: 29993674
[TBL] [Abstract][Full Text] [Related]
4. Automatic lesion border selection in dermoscopy images using morphology and color features.
Mishra NK; Kaur R; Kasmi R; Hagerty JR; LeAnder R; Stanley RJ; Moss RH; Stoecker WV
Skin Res Technol; 2019 Jul; 25(4):544-552. PubMed ID: 30868667
[TBL] [Abstract][Full Text] [Related]
5. Abrupt skin lesion border cutoff measurement for malignancy detection in dermoscopy images.
Kaya S; Bayraktar M; Kockara S; Mete M; Halic T; Field HE; Wong HK
BMC Bioinformatics; 2016 Oct; 17(Suppl 13):367. PubMed ID: 27766942
[TBL] [Abstract][Full Text] [Related]
6. Detection of granularity in dermoscopy images of malignant melanoma using color and texture features.
Stoecker WV; Wronkiewiecz M; Chowdhury R; Stanley RJ; Xu J; Bangert A; Shrestha B; Calcara DA; Rabinovitz HS; Oliviero M; Ahmed F; Perry LA; Drugge R
Comput Med Imaging Graph; 2011 Mar; 35(2):144-7. PubMed ID: 21036538
[TBL] [Abstract][Full Text] [Related]
7. A basis function feature-based approach for skin lesion discrimination in dermatology dermoscopy images.
Stanley RJ; Stoecker WV; Moss RH; Rabinovitz HS; Cognetta AB; Argenziano G; Soyer HP
Skin Res Technol; 2008 Nov; 14(4):425-35. PubMed ID: 18937777
[TBL] [Abstract][Full Text] [Related]
8. Computer algorithms show potential for improving dermatologists' accuracy to diagnose cutaneous melanoma: Results of the International Skin Imaging Collaboration 2017.
Marchetti MA; Liopyris K; Dusza SW; Codella NCF; Gutman DA; Helba B; Kalloo A; Halpern AC;
J Am Acad Dermatol; 2020 Mar; 82(3):622-627. PubMed ID: 31306724
[TBL] [Abstract][Full Text] [Related]
9. Development of new descriptor for melanoma detection on dermoscopic images.
Akan H; Yıldız MZ
Med Biol Eng Comput; 2020 Nov; 58(11):2711-2723. PubMed ID: 32865764
[TBL] [Abstract][Full Text] [Related]
10. Biologically inspired skin lesion segmentation using a geodesic active contour technique.
Kasmi R; Mokrani K; Rader RK; Cole JG; Stoecker WV
Skin Res Technol; 2016 May; 22(2):208-22. PubMed ID: 26403797
[TBL] [Abstract][Full Text] [Related]
11. Melanoma recognition in dermoscopy images using lesion's peripheral region information.
Tajeddin NZ; Asl BM
Comput Methods Programs Biomed; 2018 Sep; 163():143-153. PubMed ID: 30119849
[TBL] [Abstract][Full Text] [Related]
12. A perceptually oriented method for contrast enhancement and segmentation of dermoscopy images.
Abbas Q; Garcia IF; Emre Celebi M; Ahmad W; Mushtaq Q
Skin Res Technol; 2013 Feb; 19(1):e490-7. PubMed ID: 22882675
[TBL] [Abstract][Full Text] [Related]
13. A novel cumulative level difference mean based GLDM and modified ABCD features ranked using eigenvector centrality approach for four skin lesion types classification.
Wahba MA; Ashour AS; Guo Y; Napoleon SA; Elnaby MMA
Comput Methods Programs Biomed; 2018 Oct; 165():163-174. PubMed ID: 30337071
[TBL] [Abstract][Full Text] [Related]
14. Quantitative color assessment of dermoscopy images using perceptible color regions.
Lee G; Lee O; Park S; Moon J; Oh C
Skin Res Technol; 2012 Nov; 18(4):462-70. PubMed ID: 22272727
[TBL] [Abstract][Full Text] [Related]
15. Adaptable texture-based segmentation by variance and intensity for automatic detection of semitranslucent and pink blush areas in basal cell carcinoma.
Kefel S; Pelin Kefel S; LeAnder RW; Kaur R; Kasmi R; Mishra NK; Rader RK; Cole JG; Woolsey ZT; Stoecker WV
Skin Res Technol; 2016 Nov; 22(4):412-422. PubMed ID: 26991418
[TBL] [Abstract][Full Text] [Related]
16. Dermoscopy of cutaneous melanoma metastases: A color-based pattern classification.
Avilés-Izquierdo JA; Ciudad-Blanco C; Sánchez-Herrero A; Mateos-Mayo A; Nieto-Benito LM; Rodríguez-Lomba E
J Dermatol; 2019 Jul; 46(7):564-569. PubMed ID: 31120139
[TBL] [Abstract][Full Text] [Related]
17. Density-based parallel skin lesion border detection with webCL.
Lemon J; Kockara S; Halic T; Mete M
BMC Bioinformatics; 2015; 16 Suppl 13(Suppl 13):S5. PubMed ID: 26423836
[TBL] [Abstract][Full Text] [Related]
18. Automatic lesion boundary detection in dermoscopy images using gradient vector flow snakes.
Erkol B; Moss RH; Stanley RJ; Stoecker WV; Hvatum E
Skin Res Technol; 2005 Feb; 11(1):17-26. PubMed ID: 15691255
[TBL] [Abstract][Full Text] [Related]
19. Skin lesion image segmentation using Delaunay Triangulation for melanoma detection.
Pennisi A; Bloisi DD; Nardi D; Giampetruzzi AR; Mondino C; Facchiano A
Comput Med Imaging Graph; 2016 Sep; 52():89-103. PubMed ID: 27215953
[TBL] [Abstract][Full Text] [Related]
20. A methodological approach to the classification of dermoscopy images.
Celebi ME; Kingravi HA; Uddin B; Iyatomi H; Aslandogan YA; Stoecker WV; Moss RH
Comput Med Imaging Graph; 2007 Sep; 31(6):362-73. PubMed ID: 17387001
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]