Machine Learning of the Progression of Intermediate Age-Related Macular Degeneration Based on OCT Imaging.

Journal: Investigative ophthalmology & visual science
Published Date: May 1, 2017

Abstract

PURPOSE: To develop a data-driven interpretable predictive model of incoming drusen regression as a sign of disease activity and identify optical coherence tomography (OCT) biomarkers associated with its risk in intermediate age-related macular degeneration (AMD).

Authors

  • Hrvoje Bogunović
    Christian Doppler Laboratory for Ophthalmic Image Analysis (OPTIMA), Department of Ophthalmology, Medical University of Vienna, Spitalgasse 23, 1090 Vienna, Austria.
  • Alessio Montuoro
    Department of Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria.
  • Magdalena Baratsits
    Department of Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria.
  • Maria G Karantonis
    Department of Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria.
  • Sebastian M Waldstein
    Christian Doppler Laboratory for Ophthalmic Image Analysis (OPTIMA), Department of Ophthalmology, Medical University of Vienna, Spitalgasse 23, 1090 Vienna, Austria.
  • Ferdinand Schlanitz
    Department of Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria.
  • Ursula Schmidt-Erfurth
    Christian Doppler Laboratory for Ophthalmic Image Analysis (OPTIMA), Department of Ophthalmology, Medical University of Vienna, Spitalgasse 23, 1090 Vienna, Austria.

Keywords

External Resources

Popular Topics
Recent Journals