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Commercially available clinical decision support systems (CDSSs) for skincancer have been designed for the detection of melanoma only. Correct use ofthe systems requires expert knowledge, hampering their utility for nonexperts.Furthermore, there are no systems to detect other common skin cancer types,that is, nonmelanoma skin cancer (NMSC). As early diagnosis of skin cancer isessential, there is a need for a CDSS that is applicable to all types of skinlesions and is suitable for nonexperts. Nevus Doctor (ND) is a CDSS beingdeveloped by the authors. We here investigate ND's ability to detect bothmelanoma and NMSC and the opportunities for improvement. An independent testset of dermoscopic images of 870 skin lesions, including 44 melanomas and 101NMSCs, were analysed by ND. Its sensitivity to melanoma and NMSC was comparedto that of Mole Expert (ME), a commercially available CDSS, using the same setof lesions. ND and ME had similar sensitivity to melanoma. For ND at 95 percentmelanoma sensitivity, the NMSC sensitivity was 100 percent, and the specificitywas 12 percent. The melanomas misclassified by ND at 95 percent sensitivitywere correctly classified by ME, and vice versa. ND is able to detect NMSCwithout sacrificing melanoma sensitivity.

biomed research international

Computer-Aided Decision Support for Melanoma Detection Applied on  Melanocytic and Nonmelanocytic Skin Lesions: A Comparison of Two Systems  Based on Automatic Analysis of Dermoscopic Images