ROQUS: a retinal OCT quality and usability score.

Guilherme Aresta¹, Teresa Araújo¹, Georg Faustmann¹, Hrvoje Bogunović¹

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

PubMed PMC DOI PDF

Abstract

A deep learning-based retinal OCT B-scan quality metric, ROQUS, assesses overall quality and clinical usability. The method uses a ranking strategy, producing an unbounded score where higher values indicate better quality. The model was evaluated on in-house and public datasets with real and simulated acquisition issues. ROQUS achieved 0.85 ROC-AUC in identifying B-scans with acquisition issues, s…

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