Convolutional Neural Network Based on Fluorescein Angiography Images for Retinopathy of Prematurity Management

PURPOSE: The purpose of this study was to explore the use of fluorescein angiography (FA) images in a convolutional neural network (CNN) in the management of retinopathy of prematurity (ROP). METHODS: The dataset involved a total of 835 FA images of 149 eyes (90 patients), where each eye was associa...

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Detalles Bibliográficos
Autores principales: Lepore, Domenico, Ji, Marco H., Pagliara, Monica M., Lenkowicz, Jacopo, Capocchiano, Nikola D., Tagliaferri, Luca, Boldrini, Luca, Valentini, Vincenzo, Damiani, Andrea
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/PMC7424905/
https://www.ncbi.nlm.nih.gov/pubmed/32855841
http://dx.doi.org/10.1167/tvst.9.2.37

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7424905/
https://www.ncbi.nlm.nih.gov/pubmed/32855841
http://dx.doi.org/10.1167/tvst.9.2.37

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