Improved Skin Lesion Segmentation and Classification using Hierarchical Deep Attention Architectures

The challenges posed by skin diseases, including cancers, have led to growing interest in automating dermatological diagnostics using machine vision and deep learning. Models such as UNet and its derivatives have shown their effectiveness in the segmentation of skin lesions. In this article, we introduce an automated deep learning system designed to hierarchically segment and classify skin lesions...