Anomaly Detection in Retinal OCT Images With Deep Learning-Based Knowledge Distillation.

Guilherme Aresta¹, Teresa Araújo¹, Ursula Schmidt-Erfurth², Hrvoje Bogunovic¹

¹Christian Doppler Lab for Artificial Intelligence in Retina, Institute of Artificial Intelligence, Center for Medical Data Science, Medical University of Vienna, Vienna, Austria.

²Department of Ophthalmology & Optometry, Medical University of Vienna, Vienna, Austria.

PubMed PMC DOI PDF

Abstract

PURPOSE: The purpose of this study was to develop a robust and general purpose artificial intelligence (AI) system that allows the identification of retinal optical coherence tomography (OCT) volumes with pathomorphological manifestations not present in normal eyes in screening programs and large retrospective studies. METHODS: An unsupervised anomaly detection deep learning approach for the scre…

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