Cargando…
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...
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: | |
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 |
Ejemplares similares
-
A Deep Learning Network for Classifying Arteries and Veins in Montaged Widefield OCT Angiograms
por: Gao, Min, et al.
Publicado: (2022) -
Quantification of Nonperfusion Area in Montaged Widefield OCT Angiography Using Deep Learning in Diabetic Retinopathy
por: Guo, Yukun, et al.
Publicado: (2021) -
Deep-Learning–Aided Diagnosis of Diabetic Retinopathy, Age-Related Macular Degeneration, and Glaucoma Based on Structural and Angiographic OCT
por: Zang, Pengxiao, et al.
Publicado: (2022) -
Automated Segmentation of Retinal Fluid Volumes From Structural and Angiographic Optical Coherence Tomography Using Deep Learning
por: Guo, Yukun, et al.
Publicado: (2020) -
A Diabetic Retinopathy Classification Framework Based on Deep-Learning Analysis of OCT Angiography
por: Zang, Pengxiao, et al.
Publicado: (2022)