Deep Learning Approaches to Predict Geographic Atrophy Progression Using Three-Dimensional OCT Imaging.

Abstract

Authors

• Kenta Yoshida
  Department of Obstetrics and Gynecology, Mie University School of Medicine, 2-174 Edobashi, Tsu, Mie, Japan.
• Neha Anegondi
  Clinical Imaging Group, Genentech, Inc., South San Francisco, California; Roche Ophthalmology Personalized Healthcare, Genentech, Inc., South San Francisco, California.
• Adam Pely
  gRED Computational Science, Genentech, Inc., South San Francisco, CA, USA.
• Miao Zhang
  gRED Computational Science, Genentech, Inc., South San Francisco, California.
• Frederic Debraine
  Product Development Ophthalmology, Genentech, Inc., South San Francisco, CA, USA.
• Karthik Ramesh
  School of Medicine, University of California San Diego, San Diego, CA 92093, United States.
• Verena Steffen
  gRED Computational Science, Genentech, Inc., South San Francisco, California.
• Simon S Gao
  gRED Computational Science, Genentech, Inc., South San Francisco, California.
• Catherine Cukras
• Christina Rabe
  Roche Ophthalmology Personalized Healthcare, Genentech, Inc., South San Francisco, California; Biostatistics, Genentech, Inc., South San Francisco, California.
• Daniela Ferrara
  Genentech, Inc., South San Francisco, California.
• Richard F Spaide
  Vitreous Retina Macula Consultants of New York, New York, New York; and.
• SriniVas R Sadda
  Doheny Image Analysis Laboratory, Doheny Eye Institute, Los Angeles, CA, USA.
• Frank G Holz
  Department of Ophthalmology, University of Bonn, Bonn, Germany.
• Qi Yang
  Department of Radiology, The First Hospital of Jilin University, No.1, Xinmin Street, Changchun 130021, China (Y.W., M.L., Z.M., J.W., K.H., Q.Y., L.Z., L.M., H.Z.).

Keywords

External Resources