Reducing bias and increasing utility by federated generative modeling of medical images using a centralized adversary.
Jean-François RajotteSumit MukherjeeCaleb RobinsonAnthony OrtizChristopher WestJuan M. Lavista FerresRaymond T. NgPublished in: GoodIT (2021)
Keyphrases
- medical images
- medical image analysis
- medical imaging
- anatomical structures
- image intensity
- mr images
- imaging modalities
- ct images
- medical image segmentation
- deformable models
- medical diagnosis
- computer aided diagnosis
- magnetic resonance imaging
- magnetic resonance images
- medical data
- brain images
- soft tissue
- computed tomography
- magnetic resonance
- x ray images
- multi modality
- medical image retrieval
- region of interest
- clinical applications
- mri images
- clinical practice
- ct data
- segmentation of medical images
- multimodal medical images
- biomedical images