Macular Ischemia Quantification Using Deep-Learning Denoised Optical Coherence Tomography Angiography in Branch Retinal Vein Occlusion.

Journal: Translational vision science & technology
Published Date: Jun 1, 2021

Abstract

PURPOSE: To examine whether deep-learning denoised optical coherence tomography angiography (OCTA) images could enhance automated macular ischemia quantification in branch retinal vein occlusion (BRVO).

Authors

  • Ling Yeung
    Department of Ophthalmology, Chang Gung Memorial Hospital, Keelung, Taiwan.
  • Yih-Cherng Lee
    Graduate Institute of Communication Engineering, National Taiwan University, Taiwan.
  • Yu-Tze Lin
    Department of Ophthalmology, Chang Gung Memorial Hospital, Keelung, Taiwan.
  • Tay-Wey Lee
    Biostatistical Consultation Center, Chang Gung Memorial Hospital, Keelung, Taiwan.
  • Chi-Chun Lai
    Department of Ophthalmology, Chang Gung Memorial Hospital, Taoyuan, Taiwan, 333.

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