Development and validation of two artificial intelligence models for diagnosing benign, pigmented facial skin lesions.

Journal: Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI)
Published Date: Aug 8, 2020

Abstract

OBJECTIVE: This study used deep learning for diagnosing common, benign hyperpigmentation.

Authors

  • Yin Yang
    Liver Surgery and NHC Key Lab of Transplant Engineering and Immunology, Regenerative Medical Research Center, Department of Clinical Research Management, West China Hospital, Sichuan University, Chengdu 610041, China.
  • Yiping Ge
    Department of Cosmetic Laser Surgery, Hospital of Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China.
  • Lifang Guo
    Department of Cosmetic Laser Surgery, Hospital of Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China.
  • Qiuju Wu
    Department of Cosmetic Laser Surgery, Hospital of Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China.
  • Lin Peng
    Department of dermatology, Tongji University Affiliated Tongji Hospital, Shanghai, China.
  • Erjia Zhang
    Department of Cosmetic Laser Surgery, Hospital of Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China.
  • Junxiang Xie
    Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
  • Yong Li
    Department of Surgical Sciences, Western Michigan University Homer Stryker M.D. School of Medicine, Kalamazoo, MI, United States.
  • Tong Lin
    The Key Laboratory of Machine Perception (Ministry of Education), School of EECS, Peking University, Beijing, China.

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