Visualization of Optic Nerve Structural Patterns in Papilledema Using Deep Learning Variational Autoencoders.

Journal: Translational vision science & technology
PMID: 38231498

Abstract

PURPOSE: To visualize and quantify structural patterns of optic nerve edema encountered in papilledema during treatment.

Authors

  • Jui-Kai Ray Wang
    Center for the Prevention and Treatment of Visual Loss, Iowa City VA Health Care System, Iowa City, IA, USA.
  • Edward F Linton
    Center for the Prevention and Treatment of Visual Loss, Iowa City VA Health Care System, Iowa City, IA, USA.
  • Brett A Johnson
    Department of Ophthalmology and Visual Sciences, The University of Iowa Hospitals & Clinics, Iowa City, IA, USA.
  • Mark J Kupersmith
    Departments of Neurology, Neurosurgery and Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Mona K Garvin
    Department of Electrical and Computer Engineering, The University of Iowa, Iowa City, IA, 52242, United States; Iowa City VA Health Care System, Iowa City, IA, 52246, United States. Electronic address: mona-garvin@uiowa.edu.
  • Randy H Kardon
    Iowa City VA Health Care System and Iowa City VA Center for the Prevention and Treatment of Visual Loss, Iowa City, IA, USA.

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