Macular Ischemia Quantification Using Deep-Learning Denoised Optical Coherence Tomography Angiography in Branch Retinal Vein Occlusion

PURPOSE: To examine whether deep-learning denoised optical coherence tomography angiography (OCTA) images could enhance automated macular ischemia quantification in branch retinal vein occlusion (BRVO). METHODS: This retrospective, single-center, cross-sectional study enrolled 74 patients with BRVO...

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Detalles Bibliográficos
Autores principales: Yeung, Ling, Lee, Yih-Cherng, Lin, Yu-Tze, Lee, Tay-Wey, Lai, Chi-Chun
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/PMC8212432/
https://www.ncbi.nlm.nih.gov/pubmed/34137837
http://dx.doi.org/10.1167/tvst.10.7.23

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8212432/
https://www.ncbi.nlm.nih.gov/pubmed/34137837
http://dx.doi.org/10.1167/tvst.10.7.23

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