Automated detection of exudative age-related macular degeneration in spectral domain optical coherence tomography using deep learning.

Journal: Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie

Published Date: Feb 1, 2018

Abstract

PURPOSE: Our purpose was to use deep learning for the automated detection of age-related macular degeneration (AMD) in spectral domain optical coherence tomography (SD-OCT).

Authors

Maximilian Treder

Department of Ophthalmology, University of Muenster Medical Center, Domagkstraße 15, 48149, Muenster, Germany. maximilian.treder@ukmuenster.de.
Jost Lennart Lauermann

Department of Ophthalmology, University of Muenster Medical Center, Domagkstraße 15, 48149, Muenster, Germany.
Nicole Eter

Department of Ophthalmology, University of Muenster Medical Center, Domagkstraße 15, 48149, Muenster, Germany.

Keywords

Humans Machine Learning Macula Lutea Neural Networks, Computer Reproducibility of Results Tomography, Optical Coherence Wet Macular Degeneration

External Resources

View on PubMed Access via DOI PubMed (29159541)

Automated detection of exudative age-related macular degeneration in spectral domain optical coherence tomography using deep learning.

Abstract

Authors

Keywords

External Resources

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