A Dense CNN approach for skin lesion classification

no code implementations • 17 Jul 2018 • Pierluigi Carcagnì, Andrea Cuna, Cosimo Distante

This article presents a Deep CNN, based on the DenseNet architecture jointly with a highly discriminating learning methodology, in order to classify seven kinds of skin lesions: Melanoma, Melanocytic nevus, Basal cell carcinoma, Actinic keratosis / Bowen's disease, Benign keratosis, Dermatofibroma, Vascular lesion.

Classification General Classification +2