Multi-class classification of central and non-central geographic atrophy using Optical Coherence Tomography.

Journal: medRxiv : the preprint server for health sciences
Published Date: May 28, 2025

Abstract

PURPOSE: To develop and validate deep learning (DL)-based models for classifying geographic atrophy (GA) subtypes using Optical Coherence Tomography (OCT) scans across four clinical classification tasks.

Authors

  • Sadia Siraz
  • Hindolo Kamanda
  • Sina Gholami
    University of North Carolina at Charlotte, United States.
  • Ahammed Sakir Nabil
  • Sally Shin Yee Ong
  • Minhaj Nur Alam

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