Quantification of Retinal Nerve Fibre Layer Thickness on Optical Coherence Tomography with a Deep Learning Segmentation-Free Approach

This study describes a segmentation-free deep learning (DL) algorithm for measuring retinal nerve fibre layer (RNFL) thickness on spectral-domain optical coherence tomography (SDOCT). The study included 25,285 B-scans from 1,338 eyes of 706 subjects. Training was done to predict RNFL thickness from...

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Detalles Bibliográficos
Autores principales: Mariottoni, Eduardo B., Jammal, Alessandro A., Urata, Carla N., Berchuck, Samuel I., Thompson, Atalie C., Estrela, Tais, Medeiros, Felipe A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6962147/
https://www.ncbi.nlm.nih.gov/pubmed/31941958
http://dx.doi.org/10.1038/s41598-019-57196-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6962147/
https://www.ncbi.nlm.nih.gov/pubmed/31941958
http://dx.doi.org/10.1038/s41598-019-57196-y

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