Training Deep Learning Models to Work on Multiple Devices by Cross-Domain Learning with No Additional Annotations.

Abstract

Authors

• Yue Wu
  Key Laboratory of Luminescence and Real-Time Analytical Chemistry (Ministry of Education), College of Pharmaceutical Sciences, Southwest University, Chongqing 400716, China.
• Abraham Olvera-Barrios
  Medical Retina, Moorfields Eye Hospital NHS Foundation Trust, London, UK a.olvera@nhs.net.
• Ryan Yanagihara
  Department of Ophthalmology, University of Washington, Seattle, Washington.
• Timothy-Paul H Kung
  Department of Ophthalmology, University of Washington, Seattle, Washington.
• Randy Lu
  From the Department of Ophthalmology, University of Washington, Seattle, Washington.
• Irene Leung
  Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom.
• Amit V Mishra
  Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom.
• Hanan Nussinovitch
  Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom.
• Gabriela Grimaldi
  Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom.
• Marian Blazes
  From the Department of Ophthalmology, University of Washington, Seattle, Washington.
• Cecilia S Lee
  Department of Ophthalmology, University of Washington, Seattle, Washington, USA.
• Catherine Egan
  NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology, London, UK.
• Adnan Tufail
  London, United Kingdom. Electronic address: Adnan.Tufail@moorfields.nhs.uk.
• Aaron Y Lee
  Department of Ophthalmology, University of Washington, Seattle, Washington.

Keywords

External Resources