Visual Field Inference From Optical Coherence Tomography Using Deep Learning Algorithms: A Comparison Between Devices

PURPOSE: To develop a deep learning model to estimate the visual field (VF) from spectral-domain optical coherence tomography (SD-OCT) and swept-source OCT (SS-OCT) and to compare the performance between them. METHODS: Two deep learning models based on Inception-ResNet-v2 were trained to estimate 24...

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Detalles Bibliográficos
Autores principales: Shin, Jonghoon, Kim, Sungjoon, Kim, Jinmi, Park, Keunheung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8185404/
https://www.ncbi.nlm.nih.gov/pubmed/34086043
http://dx.doi.org/10.1167/tvst.10.7.4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8185404/
https://www.ncbi.nlm.nih.gov/pubmed/34086043
http://dx.doi.org/10.1167/tvst.10.7.4

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