991 related articles for article (PubMed ID: 26872778)
21. Implementation of artificial intelligence algorithms for melanoma screening in a primary care setting.
Giavina-Bianchi M; de Sousa RM; Paciello VZA; Vitor WG; Okita AL; Prôa R; Severino GLDS; Schinaid AA; Espírito Santo R; Machado BS
PLoS One; 2021; 16(9):e0257006. PubMed ID: 34550970
[TBL] [Abstract][Full Text] [Related]
22. SVM-based texture classification and application to early melanoma detection.
Yuan X; Yang Z; Zouridakis G; Mullani N
Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():4775-8. PubMed ID: 17946649
[TBL] [Abstract][Full Text] [Related]
23. Melanoma recognition framework based on expert definition of ABCD for dermoscopic images.
Abbas Q; Emre Celebi M; Garcia IF; Ahmad W
Skin Res Technol; 2013 Feb; 19(1):e93-102. PubMed ID: 22672769
[TBL] [Abstract][Full Text] [Related]
24. 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]
25. Determination of border irregularity in dermoscopic color images of pigmented skin lesions.
Jaworek-Korjakowska J; Tadeusiewicz R
Annu Int Conf IEEE Eng Med Biol Soc; 2014; 2014():6459-62. PubMed ID: 25571475
[TBL] [Abstract][Full Text] [Related]
26. Efficient skin lesion segmentation using separable-Unet with stochastic weight averaging.
Tang P; Liang Q; Yan X; Xiang S; Sun W; Zhang D; Coppola G
Comput Methods Programs Biomed; 2019 Sep; 178():289-301. PubMed ID: 31416556
[TBL] [Abstract][Full Text] [Related]
27. Dermoscopic Image Segmentation via Multistage Fully Convolutional Networks.
Bi L; Kim J; Ahn E; Kumar A; Fulham M; Feng D
IEEE Trans Biomed Eng; 2017 Sep; 64(9):2065-2074. PubMed ID: 28600236
[TBL] [Abstract][Full Text] [Related]
28. Melanoma diagnosis using deep learning techniques on dermatoscopic images.
Jojoa Acosta MF; Caballero Tovar LY; Garcia-Zapirain MB; Percybrooks WS
BMC Med Imaging; 2021 Jan; 21(1):6. PubMed ID: 33407213
[TBL] [Abstract][Full Text] [Related]
29. Computer-Aided Diagnosis Algorithm for Classification of Malignant Melanoma Using Deep Neural Networks.
Kim CI; Hwang SM; Park EB; Won CH; Lee JH
Sensors (Basel); 2021 Aug; 21(16):. PubMed ID: 34450993
[TBL] [Abstract][Full Text] [Related]
30. A clinically oriented system for melanoma diagnosis using a color representation.
Barata C; Emre Celebi M; Marques JS
Annu Int Conf IEEE Eng Med Biol Soc; 2015; 2015():7462-5. PubMed ID: 26738017
[TBL] [Abstract][Full Text] [Related]
31. 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]
32. Melanoma Recognition in Dermoscopy Images via Aggregated Deep Convolutional Features.
Yu Z; Jiang X; Zhou F; Qin J; Ni D; Chen S; Lei B; Wang T
IEEE Trans Biomed Eng; 2019 Apr; 66(4):1006-1016. PubMed ID: 30130171
[TBL] [Abstract][Full Text] [Related]
33. 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]
34. Melanoma detection by analysis of clinical images using convolutional neural network.
Nasr-Esfahani E; Samavi S; Karimi N; Soroushmehr SM; Jafari MH; Ward K; Najarian K
Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():1373-1376. PubMed ID: 28268581
[TBL] [Abstract][Full Text] [Related]
35. Segmentation of skin lesions from digital images using joint statistical texture distinctiveness.
Glaister J; Wong A; Clausi DA
IEEE Trans Biomed Eng; 2014 Apr; 61(4):1220-30. PubMed ID: 24658246
[TBL] [Abstract][Full Text] [Related]
36. Automatic Classification of Specific Melanocytic Lesions Using Artificial Intelligence.
Jaworek-Korjakowska J; Kłeczek P
Biomed Res Int; 2016; 2016():8934242. PubMed ID: 26885520
[TBL] [Abstract][Full Text] [Related]
37. An improved strategy for skin lesion detection and classification using uniform segmentation and feature selection based approach.
Nasir M; Attique Khan M; Sharif M; Lali IU; Saba T; Iqbal T
Microsc Res Tech; 2018 Jun; 81(6):528-543. PubMed ID: 29464868
[TBL] [Abstract][Full Text] [Related]
38. Dermoscopy diagnosis of cancerous lesions utilizing dual deep learning algorithms via visual and audio (sonification) outputs: Laboratory and prospective observational studies.
Walker BN; Rehg JM; Kalra A; Winters RM; Drews P; Dascalu J; David EO; Dascalu A
EBioMedicine; 2019 Feb; 40():176-183. PubMed ID: 30674442
[TBL] [Abstract][Full Text] [Related]
39. Extraction of skin lesion texture features based on independent component analysis.
Tabatabaie K; Esteki A; Toossi P
Skin Res Technol; 2009 Nov; 15(4):433-9. PubMed ID: 19832954
[TBL] [Abstract][Full Text] [Related]
40. 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]
[Previous] [Next] [New Search]