Classification of Skin Images Based on Deep Learning

With the advent of the big data era, deep learning has made remarkable breakthroughs compared with traditional pattern-recognition methods in many tasks, such as image classification and detection. In January 2017, the artificial intelligence laboratory of Stanford University applied deep learning to automatic classification of clinical skin images and dermoscopy images, and published the research results in Nature, which represents the latest research progress in the field of automatic analysis of skin images. Herein, we interpret this research from the aspects of database establishment, design of research methods and analysis of the experimental results; we also elaborate the current research status of computer-aided diagnosis of skin images in China, as well as the future developmental prospect of multi-source big data analysis of skin images and intelligent auxiliary diag-nosis, in order to promote the medical diagnostic level of skin diseases in China.