Fully Automated Detection and Quantification of Macular Fluid in OCT Using Deep Learning.

Abstract

Authors

• Thomas Schlegl
  Christian Doppler Laboratory for Ophthalmic Image Analysis, Vienna Reading Center, Department of Ophthalmology, 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.
• Hrvoje Bogunović
  Christian Doppler Laboratory for Ophthalmic Image Analysis (OPTIMA), Department of Ophthalmology, Medical University of Vienna, Spitalgasse 23, 1090 Vienna, Austria.
• Franz Endstraßer
  Christian Doppler Laboratory for Ophthalmic Image Analysis, Department of Ophthalmology, Medical University Vienna, Vienna, Austria.
• Amir Sadeghipour
  Christian Doppler Laboratory for Ophthalmic Image Analysis, Vienna Reading Center, Department of Ophthalmology, Medical University of Vienna, Vienna, Austria.
• Ana-Maria Philip
  Christian Doppler Laboratory for Ophthalmic Image Analysis Vienna Reading Center, Department of Ophthalmology, Medical University of Vienna Spitalgasse 23, AT-1090, Vienna, Austria.
• Dominika Podkowinski
  Christian Doppler Laboratory for Ophthalmic Image Analysis Vienna Reading Center, Department of Ophthalmology, Medical University of Vienna Spitalgasse 23, AT-1090, Vienna, Austria.
• Bianca S Gerendas
  Christian Doppler Laboratory for Ophthalmic Image Analysis (OPTIMA), Department of Ophthalmology, Medical University of Vienna, Spitalgasse 23, 1090 Vienna, Austria.
• Georg Langs
  Department of Biomedical Imaging and Image-guided Therapy Computational Imaging Research Lab, 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