Advances in machine learning to detect preventable causes of blindness.

Abstract

Authors

• Ethan Waisberg
  University College Dublin School of Medicine, Belfield, Dublin, Ireland. Electronic address: ethan.waisberg@ucdconnect.ie.
• Joshua Ong
• Phani Paladugu
  Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA.
• Sharif Amit Kamran
  Department of Computer Science and Engineering, University of Nevada School of Medicine, Reno, NV 89557, USA.
• Nasif Zaman
  Human-Machine Perception Laboratory, Department of Computer Science and Engineering, University of Nevada, Reno, Reno, Nevada, United States.
• Alireza Tavakkoli
  Department of Computer Science and Engineering, University of Nevada School of Medicine, Reno, NV 89557, USA.
• Andrew G Lee
  Center for Space Medicine, Baylor College of Medicine, Houston, Texas, United States; Department of Ophthalmology, Blanton Eye Institute, Houston Methodist Hospital, Houston, Texas, United States; The Houston Methodist Research Institute, Houston Methodist Hospital, Houston, Texas, United States; Departments of Ophthalmology, Neurology, and Neurosurgery, Weill Cornell Medicine, New York, New York, United States; Department of Ophthalmology, University of Texas Medical Branch, Galveston, Texas, United States; University of Texas MD Anderson Cancer Center, Houston, Texas, United States; Texas A&M College of Medicine, Texas, United States; Department of Ophthalmology, The University of Iowa Hospitals and Clinics, Iowa City, Iowa, United States.

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External Resources