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Development and evaluation of a deep learning model for the detection of multiple fundus diseases based on colour fundus photography.

Bing LiHuan ChenBilei ZhangMingzhen YuanXuemin JinBo LeiJie XuWei GuDavid Chuen Soong WongXixi HeHao WangDayong DingXirong LiYou-Xin ChenWeihong Yu
Published in: The British journal of ophthalmology (2021)
The proposed DLS is effective in diagnosing normal fundus and 12 major fundus diseases, and thus has much potential for fundus diseases screening in the real world.
Keyphrases
  • diabetic retinopathy
  • deep learning
  • optical coherence tomography
  • artificial intelligence
  • human health
  • loop mediated isothermal amplification