Validation of a deep learning model for automatic detection and quantification of five OCT critical retinal features associated with neovascular age-related macular degeneration.

Abstract

Authors

• Federico Ricardi
  Department of Ophthalmology, University of Turin, Via Cherasco 23, 10126 Turin, Italy.
• Jonathan Oakley
  Voxeleron LLC, Pleasanton, California, United States of America.
• Daniel Russakoff
  Voxeleron LLC, Pleasanton, California, United States of America.
• Giacomo Boscia
  Department of Ophthalmology, University of Turin, Via Cherasco 23, 10126 Turin, Italy.
• Paolo Caselgrandi
  Department of Surgical Sciences, University of Turin, Turin, Italy.
• Francesco Gelormini
  Department of Surgical Sciences, University of Turin, Turin, Italy.
• Andrea Ghilardi
  Department of Surgical Sciences, University of Turin, Turin, Italy.
• Giulia Pintore
  Department of Surgical Sciences, University of Turin, Turin, Italy.
• Tommaso Tibaldi
  Department of Surgical Sciences, University of Turin, Turin, Italy.
• Paola Marolo
  Division of Ophthalmology, Department of Surgical Sciences, University of Turin, Via Verdi, 8, 10124 Turin, Italy.
• Francesco Bandello
  Department of Ophthalmology, IRCCS San Raffaele Scientific Institute, via Olgettina 60, 20132, Milan, Italy.
• Michele Reibaldi
  Division of Ophthalmology, Department of Surgical Sciences, University of Turin, Via Verdi, 8, 10124 Turin, Italy.
• Enrico Borrelli
  Department of Surgical Sciences, University of Turin, Turin, Italy.

Keywords

External Resources