Automated Detection of Leakage in Fluorescein Angiography Images with Application to Malarial Retinopathy

The detection and assessment of leakage in retinal fluorescein angiogram images is important for the management of a wide range of retinal diseases. We have developed a framework that can automatically detect three types of leakage (large focal, punctate focal, and vessel segment leakage) and valida...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhao, Yitian, J. C. MacCormick, Ian, G. Parry, David, Leach, Sophie, A. V. Beare, Nicholas, P. Harding, Simon, Zheng, Yalin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4450752/
https://www.ncbi.nlm.nih.gov/pubmed/26030010
http://dx.doi.org/10.1038/srep10425

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4450752/
https://www.ncbi.nlm.nih.gov/pubmed/26030010
http://dx.doi.org/10.1038/srep10425

Ejemplares similares