Machine Learning Methods in Skin Disease Recognition

Skin diseases affect millions of people worldwide. They can be easily recognized as they often have a different texture and color but are difficult to diagnose because of the similar symptoms of some types of disease. The motivation for this study is to collect and analyze machine learning (ML) data in skin research, with the aim of supporting the development of technology for the diagnosis of skin diseases. To help dermatologists in their diagnosis, many skin photos are created and published online. These efforts have encouraged researchers and medical professionals to develop automated skin diagnosis techniques using image segmentation and classification techniques.