Deep learning for detection of age-related macular degeneration: A systematic review and meta-analysis of diagnostic test accuracy studies.

Journal: PloS one
PMID: 37023082

Abstract

OBJECTIVE: To evaluate the diagnostic accuracy of deep learning algorithms to identify age-related macular degeneration and to explore factors impacting the results for future model training.

Authors

  • Xiangjie Leng
    Eye College, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China.
  • Ruijie Shi
    Eye College, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China.
  • YanXia Wu
    College of Computer Science and Technology, Harbin Engineering University, Harbin, HeiLongJiang, China.
  • Shiyin Zhu
    Eye College, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China.
  • Xingcan Cai
    Eye College, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China.
  • Xuejing Lu
    Eye College, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China.
  • Ruobing Liu
    Faculty of Technology, Policy and Management, Delft University of Technology, Delft, South Holland, Netherlands.

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