DeepLensNet: Deep Learning Automated Diagnosis and Quantitative Classification of Cataract Type and Severity.

Abstract

Authors

• Tiarnan D L Keenan
  Division of Epidemiology and Clinical Applications, National Eye Institute, National Institutes of Health, Bethesda, Maryland.
• Qingyu Chen
  Department of Biomedical Informatics and Data Science, Yale School of Medicine, Yale University, New Haven, CT, USA.
• Elvira Agrón
  National Eye Institute, National Institutes of Health, Bethesda, Maryland.
• Yih-Chung Tham
  Singapore Eye Research Institute, Singapore National Eye Centre, Singapore; Ophthalmology and Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore.
• Jocelyn Hui Lin Goh
  Centre for Innovation and Precision Eye Health, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore.
• Xiaofeng Lei
  Institute of High Performance Computing, Agency for Science, Technology and Research (A*STAR), Singapore.
• Yi Pin Ng
  Institute of High Performance Computing, A∗STAR, Singapore.
• Yong Liu
  Department of Critical care medicine, Shenzhen Hospital, Southern Medical University, Guangdong, Shenzhen, China.
• Xinxing Xu
  A*STAR, Singapore, Singapore.
• Ching-Yu Cheng
  Singapore National Eye Centre, Singapore Eye Research Institute, Singapore, Singapore.
• Mukharram M Bikbov
  Ufa Eye Research Institute, Ufa, Bashkortostan, Russia.
• Jost B Jonas
  Department of Ophthalmology, Ruprecht-Karls University of Heidelberg, Heidelberg, Germany.
• Sanjeeb Bhandari
  Division of Epidemiology and Clinical Applications, National Eye Institute, National Institutes of Health, Bethesda, Maryland.
• Geoffrey K Broadhead
  Division of Epidemiology and Clinical Applications, National Eye Institute, National Institutes of Health, Bethesda, Maryland.
• Marcus H Colyer
  Department of Surgery, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA.
• Jonathan Corsini
  Warfighter Eye Center, Malcolm Grow Medical Clinics and Surgery Center, Joint Base Andrews, Maryland.
• Chantal Cousineau-Krieger
  Division of Epidemiology and Clinical Applications, National Eye Institute, National Institutes of Health, Bethesda, Maryland, USA.
• William Gensheimer
  White River Junction Veterans Affairs Medical Center, White River Junction, Vermont; Geisel School of Medicine, Dartmouth, New Hampshire.
• David Grasic
  Division of Epidemiology and Clinical Applications, National Eye Institute, National Institutes of Health, Bethesda, Maryland.
• Tania Lamba
  Washington DC Veterans Affairs Medical Center, Washington, D.C.
• M Teresa Magone
  Division of Epidemiology and Clinical Applications, National Eye Institute, National Institutes of Health, Bethesda, Maryland.
• Michele Maiberger
  Washington DC Veterans Affairs Medical Center, Washington, D.C.
• Arnold Oshinsky
  Washington DC Veterans Affairs Medical Center, Washington, D.C.
• Boonkit Purt
  Department of Surgery, Uniformed Services University of the Health Sciences, Bethesda, Maryland; Department of Ophthalmology, Walter Reed National Military Medical Center, Bethesda, Maryland.
• Soo Y Shin
  Washington DC Veterans Affairs Medical Center, Washington, D.C.
• Alisa T Thavikulwat
  Division of Epidemiology and Clinical Applications, National Eye Institute, National Institutes of Health, Bethesda, Maryland.
• Zhiyong Lu
  National Center for Biotechnology Information, Bethesda, MD 20894 USA.
• Emily Y Chew
  National Eye Institute, National Institutes of Health, Bethesda, Maryland. Electronic address: echew@nei.nih.gov.

Keywords

External Resources