Login / Signup

Quality assessment of colour fundus and fluorescein angiography images using deep learning.

Michael KönigPhilipp SeeböckBianca S GerendasGeorgios MylonasRudolf WinklhoferIoanna DimakopoulouUrsula Margarethe Schmidt-Erfurth
Published in: The British journal of ophthalmology (2022)
The presented method allows automated IQA in real time, demonstrating human-level performance for CF as well as FA. Such models can help to overcome the problem of human intergrader and intragrader variability by providing objective and reproducible IQA results. It has particular relevance for real-time feedback in multicentre clinical studies, when images are uploaded to central reading centre portals. Moreover, automated IQA as preprocessing step can support integrating automated approaches into clinical practice.
Keyphrases