Deep learning-based optical coherence tomography and retinal images for detection of diabetic retinopathy: a systematic and meta analysis.

Journal: Frontiers in endocrinology
PMID: 40171193

Abstract

OBJECTIVE: To systematically review and meta-analyze the effectiveness of deep learning algorithms applied to optical coherence tomography (OCT) and retinal images for the detection of diabetic retinopathy (DR).

Authors

  • Zheng Bi
    Department of Endocrinology, The First Affiliated Hospital of Anhui University of Traditional Chinese Medicine, Hefei, Anhui, China.
  • Jinju Li
    First Clinical Medical College, Anhui University of Traditional Chinese Medicine, Hefei, Anhui, China.
  • Qiongyi Liu
    First Clinical Medical College, Anhui University of Traditional Chinese Medicine, Hefei, Anhui, China.
  • Zhaohui Fang
    Department of Endocrinology, The First Affiliated Hospital of Anhui University of Traditional Chinese Medicine, Hefei, Anhui, China.

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