A Deep-Learning Algorithm to Predict Short-Term Progression to Geographic Atrophy on Spectral-Domain Optical Coherence Tomography.

Abstract

Authors

• Eliot R Dow
  Department of Ophthalmology, Byers Eye Institute at Stanford, Palo Alto, CA, USA.
• Hyeon Ki Jeong
  School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, 30308, USA.
• Ella Arnon Katz
  Department of Ophthalmology, Duke University Medical Center, Durham, North Carolina.
• Cynthia A Toth
  Department of Biomedical Engineering, Duke University, Durham, North Carolina, USA; Department of Ophthalmology, Duke University School of Medicine, Durham, North Carolina, USA.
• Dong Wang
  Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, China.
• Terry Lee
  CIHR Canadian HIV Trials Network, Vancouver, British Columbia, Canada.
• David Kuo
  Department of Ophthalmology, Duke University Medical Center, Durham, North Carolina.
• Michael J Allingham
  Department of Ophthalmology, Duke University Medical Center, Durham, North Carolina.
• Majda Hadziahmetovic
  Department of Ophthalmology, Duke University, Durham, NC, USA.
• Priyatham S Mettu
  Department of Ophthalmology, Duke University Medical Center, Durham, North Carolina.
• Stefanie Schuman
  Department of Ophthalmology, Duke University Medical Center, Durham, North Carolina.
• Lawrence Carin
  Department of Electronic and Computer Engineering, Duke University, Durham, NC, 27705, USA.
• Pearse A Keane
  National Institute for Health Research Biomedical Research Centre for Ophthalmology, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK.
• Ricardo Henao
  Department of Electrical and Computer Engineering, Pratt School of Engineering, Duke University, Durham, North Carolina.
• Eleonora M Lad
  Department of Ophthalmology, Duke University Medical Center, Durham, North Carolina.

Keywords

External Resources