The Application of a Deep Learning Algorithm for the Segmentation of Retinal Nerve Fiber Layer Across Different Optic Neuropathies | Synapse
April 12, 2026Open Access
The Application of a Deep Learning Algorithm for the Segmentation of Retinal Nerve Fiber Layer Across Different Optic Neuropathies
Puntos clave
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.
Resumen
RNFL thickness measurements from RNFL-Net matched the ground truth in glaucoma and optic disc edema cases.