Private, fair and accurate: Training large-scale, privacy-preserving AI models in medical imaging

Fuente: arXiv

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Bibliographic Details
Main Authors:	Arasteh, Soroosh Tayebi, Ziller, Alexander, Kuhl, Christiane, Makowski, Marcus, Nebelung, Sven, Braren, Rickmer, Rueckert, Daniel, Truhn, Daniel, Kaissis, Georgios
Format:	Preprint
Published:	2023
Subjects:	Image and Video Processing Artificial Intelligence Cryptography and Security Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2302.01622