Secure, privacy-preserving and federated machine learning in medical imaging.
Georgios KaissisMarcus R. MakowskiDaniel RueckertRickmer BrarenPublished in: Nat. Mach. Intell. (2020)
Keyphrases
- medical imaging
- privacy preserving
- vertically partitioned data
- machine learning
- scalar product
- secure multiparty computation
- sensitive data
- horizontally partitioned data
- medical images
- multi party
- x ray
- homomorphic encryption
- privacy preserving data mining
- medical image processing
- image analysis
- image registration
- computer vision
- privacy preservation
- user privacy
- image processing and analysis
- pattern recognition
- image segmentation
- data mining
- image guided surgery
- image processing
- horizontally partitioned
- remote sensing
- private information
- data privacy
- privacy preserving association rule mining
- secure multi party computation
- preserving privacy
- privacy protection
- volumetric data
- privacy sensitive
- privacy concerns
- partitioned data
- decision trees
- sensitive information
- knowledge discovery
- three dimensional
- naive bayesian classification
- databases
- information systems
- data perturbation
- privacy guarantees
- private data
- differential privacy
- distributed data