  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. In particular a 61 layers DenseNet, pre-trained on IMAGENET dataset,
has been fine-tuned on ISIC 2018 Task 3 Challenge Dataset exploiting a Center
Loss function.

Computer Vision and Pattern Recognition