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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
The Association for Research in Vision and Ophthalmology
2022
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| Materias: | |
| 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 |