Multi-Plexus Nonperfusion Area Segmentation in Widefield OCT Angiography Using a Deep Convolutional Neural Network.

Journal: Translational vision science & technology
Published Date:

Abstract

PURPOSE: To train and validate a convolutional neural network to segment nonperfusion areas (NPAs) in multiple retinal vascular plexuses on widefield optical coherence tomography angiography (OCTA).

Authors

  • Yukun Guo
    Casey Eye Institute, Oregon Health & Science University, Portland, OR, USA.
  • Tristan T Hormel
    Casey Eye Institute, Oregon Health & Science University, Portland, OR, USA.
  • Min Gao
    Department of Biliary Surgery, West China Hospital of Sichuan University, Chengdu, China.
  • Qisheng You
    Kresge Eye Institute, Wayne State University, Detroit, MI, USA.
  • Jie Wang
  • Christina J Flaxel
    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.