Melanoma CADe based on ABCD Rule and Haralick Texture Features

Abstract

Melanoma is a disease with elevated rates of apparition in the world and the dermoscopy procedures help the physicians to get a correct diagnose of this disease. In this paper, we propose a system CADe to extract features of such type of images, based on designed algorithm that uses ABCD Rule and Textural Features to get a final classification via Support Vector Machine.