Quantifying Predictive Uncertainty in Medical Image Analysis with Deep Kernel Learning.
Zhiliang WuYinchong YangJindong GuVolker TrespPublished in: ICHI (2021)
Keyphrases
- medical image analysis
- kernel learning
- medical images
- deformable models
- kernel function
- medical imaging
- anatomical structures
- support vector regression
- image registration
- semi supervised
- multiple kernel learning
- image analysis
- kernel matrix
- learning tasks
- visual programming environment
- multi task learning
- kernel methods
- magnetic resonance images
- dimensionality reduction
- pairwise constraints
- computer vision
- mr images
- support vector
- magnetic resonance imaging
- learning problems
- semi supervised learning
- pairwise