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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2023
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Materias: | |
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 |
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