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)...

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Detalles Bibliográficos
Autores principales: Nunez do Rio, Joan M., Sen, Piyali, Rasheed, Rajna, Bagchi, Akanksha, Nicholson, Luke, Dubis, Adam M., Bergeles, Christos, Sivaprasad, Sobha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
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

Internet

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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