Data Reduction for Supervised Learning in Medical Image Analysis.
Armin StollAndrea FränzleRolf BendlPublished in: Bildverarbeitung für die Medizin (2010)
Keyphrases
- medical image analysis
- data reduction
- supervised learning
- instance selection
- medical images
- data compression
- deformable models
- image registration
- medical imaging
- image analysis
- anatomical structures
- preprocessing
- data analysis
- magnetic resonance images
- classification accuracy
- knowledge discovery
- machine learning
- learning algorithm
- data mining
- training data
- active learning
- semi supervised
- feature selection
- rough set theory
- classification rules
- visual programming environment
- class labels
- labeled data
- high dimensionality
- training set
- image segmentation
- singular value decomposition
- model selection
- multiple instance learning
- dimensionality reduction
- high dimensional
- remote sensing
- clustering algorithm
- databases
- representative subset