Self-Supervised Learning for Improved Optical Coherence Tomography Detection of Macular Telangiectasia Type 2.

Journal: JAMA ophthalmology
Published Date:

Abstract

IMPORTANCE: Deep learning image analysis often depends on large, labeled datasets, which are difficult to obtain for rare diseases.

Authors

  • Shahrzad Gholami
    AI for Good Research Lab, Microsoft, Redmond, WA, 98052, USA.
  • Lea Scheppke
    Lowy Medical Research Institute, La Jolla, California; The Scripps Research Institute, La Jolla, California.
  • Meghana Kshirsagar
    Computational and Systems Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Yue Wu
    Key Laboratory of Luminescence and Real-Time Analytical Chemistry (Ministry of Education), College of Pharmaceutical Sciences, Southwest University, Chongqing 400716, China.
  • Rahul Dodhia
    AI for Good Research Lab, Microsoft, Redmond, Washington 98052, USA.
  • Roberto Bonelli
    The Lowy Medical Research Institute, La Jolla, California.
  • Irene Leung
    Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom.
  • Ferenc B Sallo
    Hôpital Ophtalmique Jules-Gonin, Fondation Asile des Aveugles, University of Lausanne, Lausanne, Switzerland.
  • Alyson Muldrew
    Queen's University Belfast, Belfast, Northern Ireland.
  • Catherine Jamison
    Queen's University Belfast, Belfast, Northern Ireland.
  • Tunde Peto
    Centre for Public Health, Queen's University Belfast, Belfast, United Kingdom.
  • Juan Lavista Ferres
    AI for Good Research Lab, Microsoft, Redmond, Washington 98052, USA.
  • William B Weeks
    AI for Good Lab, Microsoft Corporation, Redmond, WA, United States.
  • Martin Friedlander
    Department of Molecular Medicine, The Scripps Research Institute, La Jolla, California, USA.
  • Aaron Y Lee
    Department of Ophthalmology, University of Washington, Seattle, Washington.