In this work, we propose a novel approach in the detection of a skin lesion among melanoma or nevus types, using handcraft features that depend on shape, color, and texture, which represent the ABCD rule (Asymmetry Borders-Colors-Dermatoscopic Structures), and combining them with deep learning...
Colours for melanin range from black and brown to grey and blue, depending on the location of the melanin within the skin layers, in terms of depth [3]. Even a hard-to-detect hue difference could make a significant difference in melanoma diagnosis [7]. Photographs are invaluable in ...