Correction of Retinal Nerve Fiber Layer Thickness Measurement on Spectral-Domain Optical Coherence Tomographic Images Using U-net Architecture

PURPOSE: In this study, an algorithm based on deep learning was presented to reduce the retinal nerve fiber layer (RNFL) segmentation errors in spectral domain optical coherence tomography (SD-OCT) scans using ophthalmologists' manual segmentation as a reference standard. METHODS: In this study...

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Detalles Bibliográficos
Autores principales: Razaghi, Ghazale, Aghsaei Fard, Masoud, Hejazi, Marjaneh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PUBLISHED BY KNOWLEDGE E 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10020786/
https://www.ncbi.nlm.nih.gov/pubmed/36937200
http://dx.doi.org/10.18502/jovr.v18i1.12724

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10020786/
https://www.ncbi.nlm.nih.gov/pubmed/36937200
http://dx.doi.org/10.18502/jovr.v18i1.12724

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