Deep Learning-Based Automated Detection of Retinal Breaks and Detachments on Fundus Photography.

Journal: Translational vision science & technology
Published Date: Apr 2, 2024

Abstract

PURPOSE: The purpose of this study was to develop a deep learning algorithm, to detect retinal breaks and retinal detachments on ultra-widefield fundus (UWF) optos images using artificial intelligence (AI).

Authors

  • Merlin Christ
    Department of Ophthalmology, Inselspital, Bern University Hospital, Bern, Switzerland.
  • Oussama Habra
    Department of Ophthalmology, Inselspital, Bern University Hospital, Bern, Switzerland.
  • Killian Monnin
    ARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland.
  • Kevin Vallotton
    Department of Ophthalmology, Inselspital, Bern University Hospital, Bern, Switzerland.
  • Raphael Sznitman
    ARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland.
  • Sebastian Wolf
    Department for Ophthalmology, Inselspital, University Hospital, University of Bern, Bern, Switzerland.
  • Martin Zinkernagel
    Department of Ophthalmology, Inselspital, Bern, Switzerland.
  • Pablo Márquez Neila
    ARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland.

Keywords

External Resources

Popular Topics
Recent Journals