Skin cancer is nothing but the increasing growth of abnormal skin cells. It occurs when unrepaired DNA damage to skin cells begins the mutations, or genetic defects, that lead the skin cells to multiply rapidly and form malignant tumors. Malignant melanoma is considered as one of the most dangerous skin cancers as it increases the mortality rate. Computer-aided diagnosis systems can helps to detect melanoma early. In the last decades, skin cancer increased and its incidence becoming a public health problem. Technological advances have allowed the development of applications that helps the early detection of melanoma. In this context, an Image Processing was developed to obtain Asymmetry, Border, Color, and Diameter (ABCD of melanoma). Using neural networks and NB which are used perform a classification of the different kinds of moles.

Melanoma; Image Processing; Artificial Intelligence; Convolutional Neural Networks; Naïve Bayes

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