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A Deep Learning Network for Classifying Arteries and Veins in Montaged Widefield OCT Angiograms
PURPOSE: To propose a deep-learning−based method to differentiate arteries from veins in montaged widefield OCT angiography (OCTA). DESIGN: Cross-sectional study. PARTICIPANTS: A total of 232 participants, including 109 participants with diabetic retinopathy (DR), 64 participants with branch retinal...
| Autores principales: | , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9562370/ https://www.ncbi.nlm.nih.gov/pubmed/36278031 http://dx.doi.org/10.1016/j.xops.2022.100149 |