Reviewing State of the Art AI Systems for Skin Cancer Diagnosis
作者： Charalampos Doukas , Ilias Maglogiannis
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摘要: In the recent years artificial intelligence and vision-based diagnostic systems for dermatology have demonstrated significant progress. this chapter, we review these by firstly presenting installation, visual features used skin lesion classification methods defining them. Then describe how to extract through digital image processing methods, i.e., segmentation, registration, border detection, color texture then present use extracted employing Discriminant Analysis, Neural Networks, Support Vector Machines, Wavelets. We finally list all existing found in literature that deal with specific problem.
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