Deep learning-based fully automated diagnosis of melanocytic lesions by using whole slide images.

Abstract

Authors

• Yongyang Bao
  Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China.
• Jiayi Zhang
  School of Basic Medical Sciences, Health Science Center, Ningbo University, Ningbo, China.
• Xingyu Zhao
  University of Science and Technology of China, Hefei, China; Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China.
• Henghua Zhou
  Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China.
• Ying Chen
  Department of Endocrinology and Metabolism, Fudan Institute of Metabolic Diseases, Zhongshan Hospital, Fudan University, Shanghai, China.
• Junming Jian
  University of Science and Technology of China, Hefei, Anhui, 230026, China.
• Tianlei Shi
  Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, Jiangsu, China.
• Xin Gao
  Department of Computer Science, New Jersey Institute of Technology, Newark, New Jersey, USA.

Keywords

External Resources