A Review of Causality for Learning Algorithms in Medical Image Analysis.
Athanasios VlontzosDaniel RueckertBernhard KainzPublished in: CoRR (2022)
Keyphrases
- medical image analysis
- learning algorithm
- medical images
- deformable models
- anatomical structures
- medical imaging
- image registration
- image analysis
- magnetic resonance images
- medical image data
- machine learning algorithms
- training data
- imaging modalities
- brain mr images
- computer vision and pattern recognition
- medical image segmentation
- visual programming environment
- brain structures
- clinical applications
- active learning
- learning problems
- surface registration
- shape modeling
- higher order
- causal models
- machine learning
- digital image analysis
- learning tasks
- causal relationships
- decision trees
- image data