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Deep Learning-Based Segmentation and Quantification of Retinal Capillary Non-Perfusion on Ultra-Wide-Field Retinal Fluorescein Angiography
Reliable outcome measures are required for clinical trials investigating novel agents for preventing progression of capillary non-perfusion (CNP) in retinal vascular diseases. Currently, accurate quantification of topographical distribution of CNP on ultrawide field fluorescein angiography (UWF-FA)...
Autores principales: | Nunez do Rio, Joan M., Sen, Piyali, Rasheed, Rajna, Bagchi, Akanksha, Nicholson, Luke, Dubis, Adam M., Bergeles, Christos, Sivaprasad, Sobha |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7464218/ https://www.ncbi.nlm.nih.gov/pubmed/32781564 http://dx.doi.org/10.3390/jcm9082537 |
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