A Pixel-Based Machine-Learning Model For Three-Dimensional Reconstruction of Vitreous Anatomy

PURPOSE: To develop a machine-learning image processing model for three-dimensional (3D) reconstruction of vitreous anatomy visualized with swept-source optical coherence tomography (SS-OCT). METHODS: Healthy subjects were imaged with SS-OCT. Scans of sufficient quality were transferred into the Fij...

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Detalles Bibliográficos
Autores principales: Thi, Alan, Freund, K. Bailey, Engelbert, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2022
Materias:
Retina
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9279921/
https://www.ncbi.nlm.nih.gov/pubmed/35802368
http://dx.doi.org/10.1167/tvst.11.7.3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9279921/
https://www.ncbi.nlm.nih.gov/pubmed/35802368
http://dx.doi.org/10.1167/tvst.11.7.3

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