Automated multidimensional deep learning platform for referable diabetic retinopathy detection: a multicentre, retrospective study.

Journal: BMJ open
Published Date:

Abstract

OBJECTIVE: To develop and validate a real-world screening, guideline-based deep learning (DL) system for referable diabetic retinopathy (DR) detection.

Authors

  • Guihua Zhang
    Joint Shantou International Eye Center of Shantou University, the Chinese University of Hong Kong, Shantou, Guangdong, China.
  • Jian-Wei Lin
    Joint Shantou International Eye Center of Shantou University, the Chinese University of Hong Kong, Shantou, Guangdong, China.
  • Ji Wang
    Department of Toxicology and Hygienic Chemistry, School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, China.
  • Jie Ji
    Network and Information Center, Shantou University, Shantou, Guangdong, China.
  • Ling-Ping Cen
    Guangdong Provincial Key Laboratory of Medical Immunology and Molecular Diagnostics, School of Medical Technology, Guangdong Medical University, Zhanjiang, China. cenlp@hotmail.com.
  • Weiqi Chen
    School of Computer Science, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK.
  • Peiwen Xie
    Joint Shantou International Eye Center of Shantou University and The Chinese University of Hong Kong, Shantou, China.
  • Yi Zheng
    Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, 300211 Tianjin, China.
  • Yongqun Xiong
    Joint Shantou International Eye Centre of Shantou University and The Chinese University of Hong Kong, Shantou, Guangdong, China.
  • Hanfu Wu
    Joint Shantou International Eye Centre of Shantou University and The Chinese University of Hong Kong, Shantou, Guangdong, China.
  • Dongjie Li
    Joint Shantou International Eye Centre of Shantou University and The Chinese University of Hong Kong, Shantou, Guangdong, China.
  • Tsz Kin Ng
    Joint Shantou International Eye Center of Shantou University, the Chinese University of Hong Kong, Shantou, Guangdong, China.
  • Chi Pui Pang
    Department of Ophthalmology and Visual Sciences, Chinese University of Hong Kong, Hong Kong.
  • Mingzhi Zhang
    Joint Shantou International Eye Center, Shantou University & the Chinese University of Hong Kong, Shantou, China. Electronic address: zmz@jsiec.org.