SKIN CANCER CLASSIFICATION USING CONVOLUTIONAL NEURAL NETWORKS
Early assessment of suspicious skin lesions can improve access to care, but dermoscopic interpretation depends on specialist expertise and automated classifiers must be evaluated carefully under severe class imbalance. This paper presents a seven-class convolutional neural network pipeline and a cloud-connected desktop...