Deep learning detection of retinal detachment: Optical coherence tomography staging and estimation of duration of macular detachment.

Journal: PloS one
Published Date: Sep 2, 2025

Abstract

OBJECTIVE: To test the applicability of deep learning models for detecting and staging rhegmatogenous retinal detachment (RRD) based on morphological features using two- and three-dimensional optical coherence tomography (OCT) scans.

Authors

  • Ansgar Beuse
    Department of Ophthalmology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
  • Inês V Lopes
    Department of Ophthalmology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
  • Martin S Spitzer
    Department of Ophthalmology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
  • Vasyl Druchkiv
    Department of Ophthalmology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
  • Carsten Grohmann
    Department of Ophthalmology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
  • Christos Skevas
    Department of Ophthalmology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.

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