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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
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 |
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