Development and validation of a deep-learning algorithm for the detection of neovascular age-related macular degeneration from colour fundus photographs.

Abstract

Authors

• Stuart Keel
  Centre for Eye Research Australia; Departments of Ophthalmology and Surgery, University of Melbourne, Melbourne, Australia.
• Zhixi Li
  State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, China.
• Jane Scheetz
  Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, Melbourne.
• Liubov Robman
  Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, University of Melbourne, Melbourne, Victoria, Australia.
• James Phung
  Monash University Melbourne, Melbourne, Victoria, Australia.
• Galina Makeyeva
  Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, University of Melbourne, Melbourne, Victoria, Australia.
• KhinZaw Aung
  Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, University of Melbourne, Melbourne, Victoria, Australia.
• Chi Liu
• Xixi Yan
  Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, University of Melbourne, Melbourne, Victoria, Australia.
• Wei Meng
• Robyn Guymer
  Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, University of Melbourne, Melbourne, Victoria, Australia.
• Robert Chang
  Department of Ophthalmology, Byers Eye Institute at Stanford University, Palo Alto, California.
• Mingguang He
  State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, China; Centre for Eye Research Australia; Departments of Ophthalmology and Surgery, University of Melbourne, Melbourne, Australia. Electronic address: mingguang.he@unimelb.edu.au.

Keywords

External Resources