An Open-Source Deep Learning Network for Reconstruction of High-Resolution OCT Angiograms of Retinal Intermediate and Deep Capillary Plexuses

PURPOSE: We propose a deep learning–based image reconstruction algorithm to produce high-resolution optical coherence tomographic angiograms (OCTA) of the intermediate capillary plexus (ICP) and deep capillary plexus (DCP). METHODS: In this study, 6-mm × 6-mm macular scans with a 400 × 400 A-line sa...

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Detalles Bibliográficos
Autores principales: Gao, Min, Hormel, Tristan T., Wang, Jie, Guo, Yukun, Bailey, Steven T., Hwang, Thomas S., Jia, Yali
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/PMC8590160/
https://www.ncbi.nlm.nih.gov/pubmed/34757393
http://dx.doi.org/10.1167/tvst.10.13.13

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8590160/
https://www.ncbi.nlm.nih.gov/pubmed/34757393
http://dx.doi.org/10.1167/tvst.10.13.13

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