Prediction of Visual Impairment in Epiretinal Membrane and Feature Analysis: A Deep Learning Approach Using Optical Coherence Tomography.

Journal: Asia-Pacific journal of ophthalmology (Philadelphia, Pa.)
PMID: 36706331

Abstract

PURPOSE: The aim was to develop a deep learning model for predicting the extent of visual impairment in epiretinal membrane (ERM) using optical coherence tomography (OCT) images, and to analyze the associated features.

Authors

  • Yun Hsia
    National Taiwan University Biomedical Park Hospital, Hsin-Chu.
  • Yu-Yi Lin
  • Bo-Sin Wang
    Department of Biomedical Engineering, National Yang Ming Chiao Tung University, Taipei, Taiwan.
  • Chung-Yen Su
    Department of Electrical Engineering, National Taiwan Normal University, Taipei, Taiwan.
  • Ying-Hui Lai
  • Yi-Ting Hsieh
    Department of Ophthalmology, National Taiwan University Hospital, Taipei, Taiwan.

Keywords

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