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The current computer-aided melanoma diagnostic technique employs the features that extracted from the surface level of skin, and any under-skin information is ignored. Since the colour formation of lesion is vastly influenced by the concentration of melanin, the quantitative features of spatial heterogeneity of melanin concentration was proposed. To quantify the spatial heterogeneity of eumelanin...
The current diagnostic technique for melanoma solely relies on the surface level of skin and under-skin information is neglected. Since physiological features of skin such as melanin are closely related to development of melanoma, the non-linear physiological feature extraction model based on random forest regression is proposed. The proposed model characterizes the concentration of eumelanin and...
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