Image-based computer aided diagnosis systems have significant potential for screening and early detection of malignant melanoma.\r\nWe review the state of the art in these systems and examine current practices, problems, and prospects of image acquisition, preprocessing,\r\nsegmentation, feature extraction and selection, and classification of dermoscopic images. This paper reports statistics\r\nand results from the most important implementations reported to date. We compared the performance of several classifiers\r\nspecifically developed for skin lesion diagnosis and discussed the corresponding findings.Whenever available, indication of various\r\nconditions that affect the technique�s performance is reported.We suggest a framework for comparative assessment of skin cancer\r\ndiagnostic models and review the results based on these models. The deficiencies in some of the existing studies are highlighted\r\nand suggestions for future research are provided.
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