Automated Detection of Vascular Leakage in Fluorescein Angiography – A Proof of Concept

PURPOSE: The purpose of this paper was to develop a deep learning algorithm to detect retinal vascular leakage (leakage) in fluorescein angiography (FA) of patients with uveitis and use the trained algorithm to determine clinically notable leakage changes. METHODS: An algorithm was trained and teste...

Descripción completa

Detalles Bibliográficos
Autores principales: Young, LeAnne H., Kim, Jongwoo, Yakin, Mehmet, Lin, Henry, Dao, David T., Kodati, Shilpa, Sharma, Sumit, Lee, Aaron Y., Lee, Cecilia S., Sen, H. Nida
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2022
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9339697/
https://www.ncbi.nlm.nih.gov/pubmed/35877095
http://dx.doi.org/10.1167/tvst.11.7.19

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9339697/
https://www.ncbi.nlm.nih.gov/pubmed/35877095
http://dx.doi.org/10.1167/tvst.11.7.19

Ejemplares similares