Development and validation of a pixel wise deep learning model to detect cataract on swept-source optical coherence tomography images

PURPOSE: The diagnosis of cataract is mostly clinical and there is a lack of objective and specific tool to detect and grade it automatically. The goal of this study was to develop and validate a deep learning model to detect and localize cataract on Swept Source Optical Coherance Tomography (SS-OCT...

Descripción completa

Detalles Bibliográficos
Autores principales: Zéboulon, Pierre, Panthier, Christophe, Rouger, Hélène, Bijon, Jacques, Ghazal, Wassim, Gatinel, Damien
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9732477/
https://www.ncbi.nlm.nih.gov/pubmed/36229338
http://dx.doi.org/10.1016/j.optom.2022.08.003

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9732477/
https://www.ncbi.nlm.nih.gov/pubmed/36229338
http://dx.doi.org/10.1016/j.optom.2022.08.003

Ejemplares similares