2022
DOI: 10.21203/rs.3.rs-1882889/v1
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Measurement of Retinal Nerve Fiber Layer Thickness with a Deep Learning Algorithm in Ischemic Optic Neuropathy and Optic Neuritis

Abstract: This work aims at determining the ability of a deep learning (DL) algorithm to measure retinal nerve fiber layer (RNFL) thickness from optical coherence tomography (OCT) scans in anterior ischemic optic neuropathy (NAION) and demyelinating optic neuritis (ON). The training/validation dataset included 750 RNFL OCT B-scans. Performance of our algorithm was evaluated on 194 OCT B-scans from 70 healthy eyes, 82 scans from 28 NAION eyes, and 84 scans of 29 ON eyes. Results were compared to manual segmentation as a … Show more

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