Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study

Data privacy mechanisms are essential for rapidly scaling medical training databases to capture the heterogeneity of patient data distributions toward robust and generalizable machine learning systems. In the current COVID-19 pandemic, a major focus of artificial intelligence (AI) is interpreting ch...

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Detalles Bibliográficos
Autores principales: Dou, Qi, So, Tiffany Y., Jiang, Meirui, Liu, Quande, Vardhanabhuti, Varut, Kaissis, Georgios, Li, Zeju, Si, Weixin, Lee, Heather H. C., Yu, Kevin, Feng, Zuxin, Dong, Li, Burian, Egon, Jungmann, Friederike, Braren, Rickmer, Makowski, Marcus, Kainz, Bernhard, Rueckert, Daniel, Glocker, Ben, Yu, Simon C. H., Heng, Pheng Ann
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8007806/
https://www.ncbi.nlm.nih.gov/pubmed/33782526
http://dx.doi.org/10.1038/s41746-021-00431-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8007806/
https://www.ncbi.nlm.nih.gov/pubmed/33782526
http://dx.doi.org/10.1038/s41746-021-00431-6

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