Development and international validation of custom-engineered and code-free deep-learning models for detection of plus disease in retinopathy of prematurity: a retrospective study

BACKGROUND: Retinopathy of prematurity (ROP), a leading cause of childhood blindness, is diagnosed through interval screening by paediatric ophthalmologists. However, improved survival of premature neonates coupled with a scarcity of available experts has raised concerns about the sustainability of...

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Detalles Bibliográficos
Autores principales: Wagner, Siegfried K, Liefers, Bart, Radia, Meera, Zhang, Gongyu, Struyven, Robbert, Faes, Livia, Than, Jonathan, Balal, Shafi, Hennings, Charlie, Kilduff, Caroline, Pooprasert, Pakinee, Glinton, Sophie, Arunakirinathan, Meena, Giannakis, Periklis, Braimah, Imoro Zeba, Ahmed, Islam S H, Al-Feky, Mariam, Khalid, Hagar, Ferraz, Daniel, Vieira, Juliana, Jorge, Rodrigo, Husain, Shahid, Ravelo, Janette, Hinds, Anne-Marie, Henderson, Robert, Patel, Himanshu I, Ostmo, Susan, Campbell, J Peter, Pontikos, Nikolas, Patel, Praveen J, Keane, Pearse A, Adams, Gill, Balaskas, Konstantinos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10279502/
https://www.ncbi.nlm.nih.gov/pubmed/37088692
http://dx.doi.org/10.1016/S2589-7500(23)00050-X

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10279502/
https://www.ncbi.nlm.nih.gov/pubmed/37088692
http://dx.doi.org/10.1016/S2589-7500(23)00050-X

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