Medical imaging deep learning with differential privacy

The successful training of deep learning models for diagnostic deployment in medical imaging applications requires large volumes of data. Such data cannot be procured without consideration for patient privacy, mandated both by legal regulations and ethical requirements of the medical profession. Dif...

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Detalles Bibliográficos
Autores principales: Ziller, Alexander, Usynin, Dmitrii, Braren, Rickmer, Makowski, Marcus, Rueckert, Daniel, Kaissis, Georgios
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/PMC8242021/
https://www.ncbi.nlm.nih.gov/pubmed/34188157
http://dx.doi.org/10.1038/s41598-021-93030-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8242021/
https://www.ncbi.nlm.nih.gov/pubmed/34188157
http://dx.doi.org/10.1038/s41598-021-93030-0

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