122 related articles for article (PubMed ID: 32770290)
21. Integration of morphological preprocessing and fractal based feature extraction with recursive feature elimination for skin lesion types classification.
Chatterjee S; Dey D; Munshi S
Comput Methods Programs Biomed; 2019 Sep; 178():201-218. PubMed ID: 31416550
[TBL] [Abstract][Full Text] [Related]
22. 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]
23. Computer-assisted diagnosis of melanoma.
Fuller C; Cellura AP; Hibler BP; Burris K
Semin Cutan Med Surg; 2016 Mar; 35(1):25-30. PubMed ID: 26963114
[TBL] [Abstract][Full Text] [Related]
24. Automated melanoma detection with a novel multispectral imaging system: results of a prospective study.
Tomatis S; Carrara M; Bono A; Bartoli C; Lualdi M; Tragni G; Colombo A; Marchesini R
Phys Med Biol; 2005 Apr; 50(8):1675-87. PubMed ID: 15815089
[TBL] [Abstract][Full Text] [Related]
25. Colour clusters for computer diagnosis of melanocytic lesions.
Seidenari S; Grana C; Pellacani G
Dermatology; 2007; 214(2):137-43. PubMed ID: 17341863
[TBL] [Abstract][Full Text] [Related]
26. Novel Approaches for Diagnosing Melanoma Skin Lesions Through Supervised and Deep Learning Algorithms.
Premaladha J; Ravichandran KS
J Med Syst; 2016 Apr; 40(4):96. PubMed ID: 26872778
[TBL] [Abstract][Full Text] [Related]
27. Electrical impedance spectroscopy as a potential adjunct diagnostic tool for cutaneous melanoma.
Mohr P; Birgersson U; Berking C; Henderson C; Trefzer U; Kemeny L; Sunderkötter C; Dirschka T; Motley R; Frohm-Nilsson M; Reinhold U; Loquai C; Braun R; Nyberg F; Paoli J
Skin Res Technol; 2013 May; 19(2):75-83. PubMed ID: 23350668
[TBL] [Abstract][Full Text] [Related]
28. Computer-based classification of dermoscopy images of melanocytic lesions on acral volar skin.
Iyatomi H; Oka H; Celebi ME; Ogawa K; Argenziano G; Soyer HP; Koga H; Saida T; Ohara K; Tanaka M
J Invest Dermatol; 2008 Aug; 128(8):2049-54. PubMed ID: 18323788
[TBL] [Abstract][Full Text] [Related]
29. Exploring robust diagnostic signatures for cutaneous melanoma utilizing genetic and imaging data.
Valavanis I; Maglogiannis I; Chatziioannou AA
IEEE J Biomed Health Inform; 2015 Jan; 19(1):190-8. PubMed ID: 25020182
[TBL] [Abstract][Full Text] [Related]
30. Validation of a Skin-Lesion Image-Matching Algorithm Based on Computer Vision Technology.
Chen RH; Snorrason M; Enger SM; Mostafa E; Ko JM; Aoki V; Bowling J
Telemed J E Health; 2016 Jan; 22(1):45-50. PubMed ID: 26218353
[TBL] [Abstract][Full Text] [Related]
31. Improving the diagnostic accuracy of dysplastic and melanoma lesions using the decision template combination method.
Faal M; Miran Baygi MH; Kabir E
Skin Res Technol; 2013 Feb; 19(1):e113-22. PubMed ID: 22672787
[TBL] [Abstract][Full Text] [Related]
32. Digital videomicroscopy improves diagnostic accuracy for melanoma.
Seidenari S; Pellacani G; Pepe P
J Am Acad Dermatol; 1998 Aug; 39(2 Pt 1):175-81. PubMed ID: 9704824
[TBL] [Abstract][Full Text] [Related]
33. Skin cancer identification using multifrequency electrical impedance--a potential screening tool.
Aberg P; Nicander I; Hansson J; Geladi P; Holmgren U; Ollmar S
IEEE Trans Biomed Eng; 2004 Dec; 51(12):2097-102. PubMed ID: 15605856
[TBL] [Abstract][Full Text] [Related]
34. Resolution invariant wavelet features of melanoma studied by SVM classifiers.
Surówka G; Ogorzalek M
PLoS One; 2019; 14(2):e0211318. PubMed ID: 30726260
[TBL] [Abstract][Full Text] [Related]
35. Melanoma computer-aided diagnosis: reliability and feasibility study.
Burroni M; Corona R; Dell'Eva G; Sera F; Bono R; Puddu P; Perotti R; Nobile F; Andreassi L; Rubegni P
Clin Cancer Res; 2004 Mar; 10(6):1881-6. PubMed ID: 15041702
[TBL] [Abstract][Full Text] [Related]
36. Rethinking Skin Lesion Segmentation in a Convolutional Classifier.
Burdick J; Marques O; Weinthal J; Furht B
J Digit Imaging; 2018 Aug; 31(4):435-440. PubMed ID: 29047032
[TBL] [Abstract][Full Text] [Related]
37. A multigene support vector machine predictor for metastasis of cutaneous melanoma.
Wei D
Mol Med Rep; 2018 Feb; 17(2):2907-2914. PubMed ID: 29257259
[TBL] [Abstract][Full Text] [Related]
38. 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]
39. An Efficient Melanoma Diagnosis Approach Using Integrated HMF Multi-Atlas Map Based Segmentation.
Roja Ramani D; Ranjani SS
J Med Syst; 2019 Jun; 43(7):225. PubMed ID: 31190229
[TBL] [Abstract][Full Text] [Related]
40. A novel SVM-ID3 hybrid feature selection method to build a disease model for melanoma using integrated genotyping and phenotype data from dbGaP.
Son YA; Yücebaş SC
Stud Health Technol Inform; 2014; 205():501-5. PubMed ID: 25160235
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]