Automated Segmentation of Retinal Fluid Volumes From Structural and Angiographic Optical Coherence Tomography Using Deep Learning.

Journal: Translational vision science & technology
Published Date: Oct 8, 2020

Abstract

PURPOSE: We proposed a deep convolutional neural network (CNN), named Retinal Fluid Segmentation Network (ReF-Net), to segment retinal fluid in diabetic macular edema (DME) in optical coherence tomography (OCT) volumes.

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.
  • Honglian Xiong
    Casey Eye Institute, Oregon Health & Science University, Portland, OR, USA.
  • Jie Wang
  • 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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