A Dense CNN approach for skin lesion classification

07/17/2018

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by   Pierluigi Carcagnì, et al.

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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.