Article info

Digital ray: enhancing cataractous fundus images using style transfer generative adversarial networks to improve retinopathy detection

Authors

  1. Correspondence to Dr Xiaohang Wu, Sun Yat-Sen University, Guangzhou, Guangdong, China; wxhang{at}mail2.sysu.edu.cn; Dr Haotian Lin; linht5{at}mail.sysu.edu.cn
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Citation

Liu L, Hong J, Wu Y, et al
Digital ray: enhancing cataractous fundus images using style transfer generative adversarial networks to improve retinopathy detection

Publication history

  • Received February 19, 2024
  • Accepted May 15, 2024
  • First published June 5, 2024.
  • Supplementary Data

    This web only file has been produced by the BMJ Publishing Group from an electronic file supplied by the author(s) and has not been edited for content.

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