Medical Application of Geometric Deep Learning for the Diagnosis of Glaucoma.

Journal: Translational vision science & technology
Published Date: Feb 1, 2023

Abstract

PURPOSE: (1) To assess the performance of geometric deep learning in diagnosing glaucoma from a single optical coherence tomography (OCT) scan of the optic nerve head and (2) to compare its performance to that obtained with a three-dimensional (3D) convolutional neural network (CNN), and with a gold-standard parameter, namely, the retinal nerve fiber layer (RNFL) thickness.

Authors

  • Alexandre H Thiéry
    Department of Statistics and Applied Probability, National University of Singapore, Singapore.
  • Fabian Braeu
    Ophthalmic Engineering & Innovation Laboratory, Singapore Eye Research Institute, Singapore National Eye Centre, Singapore.
  • Tin A Tun
    Singapore Eye Research Institute, Singapore National Eye Centre, Singapore.
  • Tin Aung
    Singapore Eye Research Institute, Singapore National Eye Center, Singapore.
  • Michaël J A Girard
    Ophthalmic Engineering and Innovation Laboratory, Department of Biomedical Engineering, Faculty of Engineering, National University of Singapore, Singapore.

Keywords

External Resources

Popular Topics
Recent Journals