Predicting Age From Optical Coherence Tomography Scans With Deep Learning.

Journal: Translational vision science & technology
Published Date: Jan 7, 2021

Abstract

PURPOSE: To assess whether age can be predicted from deep learning analysis of peripapillary spectral-domain optical coherence tomography (SD-OCT) B-scans and to determine the importance of specific retinal areas on the predictions.

Authors

  • Leonardo S Shigueoka
    Vision, Imaging and Performance Laboratory (VIP), Duke Eye Center and Department of Ophthalmology, Duke University, Durham, NC, USA.
  • Eduardo B Mariottoni
    Vision, Imaging and Performance Laboratory (VIP), Duke Eye Center and Department of Ophthalmology, Duke University, Durham, North Carolina, USA.
  • Atalie C Thompson
    Vision, Imaging and Performance (VIP) Laboratory, Duke Eye Center and Department of Ophthalmology, Duke University, Durham, North Carolina.
  • Alessandro A Jammal
    Vision, Imaging and Performance (VIP) Laboratory, Duke Eye Center and Department of Ophthalmology, Duke University, Durham, North Carolina.
  • Vital P Costa
    Department of Ophthalmology, State University of Campinas, Campinas, Brazil.
  • Felipe A Medeiros
    Duke Eye Center, Department of Ophthalmology, Duke University, Durham, North Carolina, United States.

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