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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...
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| Publicado no: | Transl Vis Sci Technol |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
The Association for Research in Vision and Ophthalmology
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8212432/ https://ncbi.nlm.nih.gov/pubmed/34137837 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1167/tvst.10.7.23 |
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