Skin Lesion Recognition Using Randomly Regularized Convolutional Networks

Deep learning architectures have become the leading instrument for image-based recognition in multiple fields, including dermatology. However, while the deep networks are data hungry, in medicine-related subjects the amount of annotated data is limited and often comes in imbalanced datasets, which can lead to memorization, and subsequent poor performance on the testing part. This paper proposes th...