Blockchain for Privacy Preserving and Trustworthy Distributed Machine Learning in Multicentric Medical Imaging (C-DistriM)

Blockchain for Privacy Preserving and Trustworthy Distributed Machine Learning in Multicentric Medical Imaging (C-DistriM)

The utility of Artificial Intelligence (AI) in healthcare strongly depends upon the quality of the data used to build models, and the confidence in the predictions they generate. Access to sufficient amounts of high-quality data to build accurate and reliable models remains problematic owing to subs...

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Bibliographic Details
Main Authors: Fadila Zerka, Visara Urovi, Akshayaa Vaidyanathan, Samir Barakat, Ralph T. H. Leijenaar, Sean Walsh, Hanif Gabrani-Juma, Benjamin Miraglio, Henry C. Woodruff, Michel Dumontier, Philippe Lambin
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Blockchain
data privacy
decentralized learning
distributed learning
Online Access:https://ieeexplore.ieee.org/document/9216036/

Internet

https://ieeexplore.ieee.org/document/9216036/

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