Blockchain for Privacy Preserving and Trustworthy Distributed Machine Learning in Multicentric Medical Imaging (C-DistriM).
Fadila ZerkaVisara UroviAkshayaa VaidyanathanSamir BarakatRalph T. H. LeijenaarSean WalshHanif Gabrani-JumaBenjamin MiraglioHenry C. WoodruffMichel DumontierPhilippe LambinPublished in: IEEE Access (2020)
Keyphrases
- privacy preserving
- medical imaging
- machine learning
- horizontally partitioned data
- horizontally partitioned
- multi party
- partitioned data
- medical images
- privacy sensitive
- x ray
- privacy preserving data mining
- image segmentation
- computer vision
- privacy preservation
- secure multiparty computation
- image analysis
- image processing
- image registration
- medical image processing
- imaging modalities
- image processing and analysis
- vertically partitioned data
- shape analysis
- sensitive information
- privacy preserving classification
- image guided surgery
- distributed environment
- pattern recognition
- biomedical engineering
- record linkage
- scalar product
- private data
- volumetric data
- preserving privacy
- sensitive data
- data privacy
- privacy concerns
- privacy protection
- private information
- data perturbation
- data mining
- naive bayesian classification
- communication cost
- privacy issues
- privacy requirements
- differential privacy
- user privacy
- remote sensing
- peer to peer
- mobile devices
- decision trees
- signal processing
- neural network
- information systems