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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...
Autores principales: | Yeung, Ling, Lee, Yih-Cherng, Lin, Yu-Tze, Lee, Tay-Wey, Lai, Chi-Chun |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Association for Research in Vision and Ophthalmology
2021
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Materias: | |
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 |
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