The Application of a Deep Learning Algorithm for the Segmentation of Retinal Nerve Fiber Layer Across Different Optic Neuropathies

Key Points

• The central aim is to evaluate the effectiveness of a deep learning algorithm in segmenting retinal nerve fiber layer thickness in various optic neuropathies.
• Utilized a deep learning algorithm for analysis of retinal nerve fiber layer
• Conducted measurements of RNFL thickness
• Compared RNFL thickness results against ground truth data in cases of glaucoma and optic disc edema.
• RNFL thickness measurements using RNFL-Net matched the established ground truth
• Demonstrated accuracy in glaucoma and optic disc edema cases.