Automated Quality Assessment and Image Selection of Ultra-Widefield Fluorescein Angiography Images through Deep Learning

PURPOSE: Numerous angiographic images with high variability in quality are obtained during each ultra-widefield fluorescein angiography (UWFA) acquisition session. This study evaluated the feasibility of an automated system for image quality classification and selection using deep learning. METHODS:...

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Detalles Bibliográficos
Autores principales: Li, Henry H., Abraham, Joseph R., Sevgi, Duriye Damla, Srivastava, Sunil K., Hach, Jenna M., Whitney, Jon, Vasanji, Amit, Reese, Jamie L., Ehlers, Justis P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2020
Materias:
Special Issue
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7500112/
https://www.ncbi.nlm.nih.gov/pubmed/32995069
http://dx.doi.org/10.1167/tvst.9.2.52

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7500112/
https://www.ncbi.nlm.nih.gov/pubmed/32995069
http://dx.doi.org/10.1167/tvst.9.2.52

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