Deep DenseNet Architectures for Multi-Class Skin Cancer Classification Using Dermoscopic Images
A comparative analysis with some of the most recent state-of-the-art methods shows that the proposed DenseNet-based approach offers competitive performance while keeping the architecture simple, and points to the potential of deep convolutional neural networks (CNN) as effective tools for helping dermatologists with au...