ArticleBiomedical optics express2025
ROQUS: a retinal OCT quality and usability score.
Article in Biomedical optics express, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
4 authors.
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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, surpassing classical metrics, and effectively handling noise and brightness variations. The inter-human and human-ROQUS agreement level when ranking B-scan pairs of different qualities was similar. ROQUS enables objective quality assessment, improving the identification of poor-quality acquisitions, enhancing clinical research, and streamlining daily practice.
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Registered trials
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