An Open-Source Deep Learning Network for Reconstruction of High-Resolution OCT Angiograms of Retinal Intermediate and Deep Capillary Plexuses.

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

Abstract

PURPOSE: We propose a deep learning-based image reconstruction algorithm to produce high-resolution optical coherence tomographic angiograms (OCTA) of the intermediate capillary plexus (ICP) and deep capillary plexus (DCP).

Authors

  • Min Gao
    Department of Biliary Surgery, West China Hospital of Sichuan University, Chengdu, China.
  • Tristan T Hormel
    Casey Eye Institute, Oregon Health & Science University, Portland, OR, USA.
  • Jie Wang
  • Yukun Guo
    Casey Eye Institute, Oregon Health & Science University, Portland, OR, USA.
  • Steven T Bailey
    Casey Eye Institute, Oregon Health & Science University, Portland, OR, 97239, USA.
  • Thomas S Hwang
    Casey Eye Institute, Oregon Health & Science University, Portland, OR, USA.
  • Yali Jia
    Casey Eye Institute, Oregon Health and Science University, Portland, Oregon.

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