Deep Learning-based Trichoscopic Image Analysis and Quantitative Model for Predicting Basic and Specific Classification in Male Androgenetic Alopecia

• Main Authors: Meng Gao (Author), Yue Wang (Author), Haipeng Xu (Author), Congcong Xu (Author), Xianhong Yang (Author), Jin Nie (Author), Ziye Zhang (Author), Zhixuan Li (Author), Wei Hou (Author), Yiqun Jiang (Author)
• Format: Book
• Published: Medical Journals Sweden, 2022-01-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Since the results of basic and specific classification in male androgenetic alopecia are subjective, and trichoscopic data, such as hair density and diameter distribution, are potential quantitative indicators, the aim of this study was to develop a deep learning framework for automatic trichoscopic...