Quantifying Predictive Uncertainty in Medical Image Analysis with Deep Kernel Learning.
Zhiliang WuYinchong YangJindong GuVolker TrespPublished in: CoRR (2021)
Keyphrases
- medical image analysis
- kernel learning
- medical images
- deformable models
- image registration
- kernel function
- medical imaging
- image analysis
- multiple kernel learning
- kernel matrix
- anatomical structures
- kernel methods
- support vector regression
- semi supervised
- dimensionality reduction
- learning tasks
- visual programming environment
- magnetic resonance images
- support vector
- pattern recognition
- pairwise constraints
- neural network
- binary classification
- model selection
- feature space