Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Automated Assessment of Peristomal Skin Discoloration and Leakage Area Using Artificial Intelligence
por: Andersen, Niels K., et al.
Publicado: (2020) -
Convolutional Neural Network–Based Automated Quality Assessment of OCT and OCT Angiography Image Maps in Individuals With Neurodegenerative Disease
por: Lee, Terry, et al.
Publicado: (2023) -
Application of Deep Learning for Automated Detection of Polypoidal Choroidal Vasculopathy in Spectral Domain Optical Coherence Tomography
por: Wongchaisuwat, Papis, et al.
Publicado: (2022) -
Automated quantification of penile curvature using artificial intelligence
por: Abbas, Tariq O., et al.
Publicado: (2022) -
Automated Page Turner for Musicians
por: Tabone, André, et al.
Publicado: (2020)