Automatic Visual Acuity Estimation by Means of Computational Vascularity Biomarkers Using Oct Angiographies
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- GI-VARPA - Artigos [69]
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Automatic Visual Acuity Estimation by Means of Computational Vascularity Biomarkers Using Oct AngiographiesAuthor(s)
Date
2019-10-31Citation
Díaz, M.; Díez-Sotelo, M.; Gómez-Ulla, F.; Novo, J.; Penedo, M.F.G.; Ortega, M. Automatic Visual Acuity Estimation by Means of Computational Vascularity Biomarkers Using Oct Angiographies. Sensors 2019, 19, 4732.
Abstract
[Abstract] Optical Coherence Tomography Angiography (OCTA) constitutes a new non-invasive ophthalmic image modality that allows the precise visualization of the micro-retinal vascularity that is commonly used to analyze the foveal region. Given that there are many systemic and eye diseases that affect the eye fundus and its vascularity, the analysis of that region is crucial to diagnose and estimate the vision loss. The Visual Acuity (VA) is typically measured manually, implying an exhaustive and time-consuming procedure. In this work, we propose a method that exploits the information of the OCTA images to automatically estimate the VA with an accurate error of 0.1713.
Keywords
Optical coherence tomography by angiography
Visual acuity
Retinal vein occlusion
Artificial vision
Biomarker
Visual acuity
Retinal vein occlusion
Artificial vision
Biomarker
Editor version
Rights
Atribución 3.0 España
ISSN
1424-8220