RetOCTNet: Deep Learning-Based Segmentation of OCT Images Following Retinal Ganglion Cell Injury.

Journal: Translational vision science & technology
PMID: 39903165

Abstract

PURPOSE: We present RetOCTNet, a deep learning tool to segment the retinal nerve fiber layer (RNFL) and total retinal thickness automatically from optical coherence tomography (OCT) scans in rats following retinal ganglion cell (RGC) injury.

Authors

  • Gabriela Sanchez-Rodriguez
    Department of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
  • Linjiang Lou
    Department of Ophthalmology, Emory University, Atlanta, GA, USA.
  • Machelle T Pardue
    Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia, United States.
  • Andrew J Feola
    Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia, United States.

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