Human expert grading versus automated quantification of fluid volumes in nAMD, DME and BRVO.

Felix Goldbach¹, Bianca S Gerendas¹, Oliver Leingang^1,2, Thomas Alten¹, Alexandros Bampoulidis¹, Jonas Brugger³, Hrvoje Bogunovic¹, Amir Sadeghipour², Ursula Schmidt-Erfurth⁴

¹Department of Ophthalmology and Optometry, Medical University of Vienna, Waehringer Guertel 18-20, Vienna, 1090, Austria.

²RetInSight, Vienna, Austria.

³Center for Medical Statistics, Informatics, and Intelligent Systems (CeMSIIS), Medical University of Vienna, Vienna, Austria.

⁴Department of Ophthalmology and Optometry, Medical University of Vienna, Waehringer Guertel 18-20, Vienna, 1090, Austria. ursula.schmidt-erfurth@meduniwien.ac.at.

PubMed PMC DOI PDF

Abstract

This study compared an automated deep learning algorithm with certified human graders from the Vienna Reading Center (VRC) in identifying intra- (IRF) and subretinal fluid (SRF) in OCT scans of patients treated for neovascular age-related macular degeneration (nAMD), diabetic macular edema (DME) and branch retinal vein occlusion (BRVO). Multicenter clinical trial data from the VRC imaging database…

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