Embeddable Real Time Tool For Automatic Skin Lesions Characterization
Résumé
Skin cancer is one of the most diagnosed cancer in the world. This cancer is based on two kinds of lesions:
carcinomas and melanomas. Both are related to the degeneration of nevi. In this abstract, we aim to propose a tool to help people and physicians to determine automatically if a nevus
could be dangerous or not. To be accessible to the general public, such system must be embeddable at the
highest possible level, like a smartphone application.