Automatic identification of benign pigmented skin lesions from clinical images using deep convolutional neural network.

Journal: BMC biotechnology
Published Date:

Abstract

OBJECTIVE: We aimed to develop a computer-aided detection (CAD) system for accurate identification of benign pigmented skin lesions (PSLs) from images captured using a digital camera or a smart phone.

Authors

  • Hui Ding
    Medical School, Huanghe Science & Technology University, Zhengzhou 450063, PR China.
  • Eejia Zhang
    Department of Cosmetic Laser Surgery, Hospital for Skin Disease and Institute of Dermatology, Peking Union Medical College and Chinese Academy of Medical Sciences (CAMS), Nanjing, 210042, China.
  • Fumin Fang
    Department of Cosmetic Laser Surgery, Hospital for Skin Disease and Institute of Dermatology, Peking Union Medical College and Chinese Academy of Medical Sciences (CAMS), Nanjing, 210042, China.
  • Xing Liu
    School of Food Science and Engineering, Hainan University 58 Renmin Avenue Haikou 570228 China zhangzeling@hainanu.edu.cn benchao312@hainanu.edu.cn xuhuan.hnu@foxmail.com qichen@hainanu.edu.cn sunzhichang11@163.com hmcao@hainanu.edu.cn.
  • Huiying Zheng
    Department of Cosmetic Laser Surgery, Hospital for Skin Disease and Institute of Dermatology, Peking Union Medical College and Chinese Academy of Medical Sciences (CAMS), Nanjing, 210042, China.
  • Hedan Yang
    Department of Cosmetic Laser Surgery, Hospital for Skin Disease and Institute of Dermatology, Peking Union Medical College and Chinese Academy of Medical Sciences (CAMS), Nanjing, 210042, 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.
  • 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.
  • Tong Lin
    The Key Laboratory of Machine Perception (Ministry of Education), School of EECS, Peking University, Beijing, China.