Deep Learning–Based SD-OCT Layer Segmentation Quantifies Outer Retina Changes in Patients With Biallelic RPE65 Mutations Undergoing Gene Therapy
Investigative Ophthalmology & Visual Science2025Vol. 66(1), pp. 5–5
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German Pinedo-Diaz, Birgit Lorenz, Sandrine H. Künzel, Sarah Thiele, Susana Ortega Cisneros, Eduardo Bayro Corrochano, Frank G. Holz, Alexander Effland
Abstract
Automated quantitative analysis of biomarkers within EZ visualizes distinct structural differences in the outer retina of patients including treatment-related effects. The automated approach using deep learning strategies allows big data analysis for distinct forms of inherited retinal degeneration. Limitations include a small dataset and potential effects on OCT scans from myopia at least -5 diopters, the latter considered nonsignificant for outer retinal layers.
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