Nature Communications (Aug 2021)

Automatic detection of 39 fundus diseases and conditions in retinal photographs using deep neural networks

  • Ling-Ping Cen,
  • Jie Ji,
  • Jian-Wei Lin,
  • Si-Tong Ju,
  • Hong-Jie Lin,
  • Tai-Ping Li,
  • Yun Wang,
  • Jian-Feng Yang,
  • Yu-Fen Liu,
  • Shaoying Tan,
  • Li Tan,
  • Dongjie Li,
  • Yifan Wang,
  • Dezhi Zheng,
  • Yongqun Xiong,
  • Hanfu Wu,
  • Jingjing Jiang,
  • Zhenggen Wu,
  • Dingguo Huang,
  • Tingkun Shi,
  • Binyao Chen,
  • Jianling Yang,
  • Xiaoling Zhang,
  • Li Luo,
  • Chukai Huang,
  • Guihua Zhang,
  • Yuqiang Huang,
  • Tsz Kin Ng,
  • Haoyu Chen,
  • Weiqi Chen,
  • Chi Pui Pang,
  • Mingzhi Zhang

DOI
https://doi.org/10.1038/s41467-021-25138-w
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 13

Abstract

Read online

Systems for automatic detection of a single disease may miss other important conditions. Here, the authors show a deep learning platform can detect 39 common retinal diseases and conditions.