A Machine Learning Based Approach to Fiber Tractography Using Classifier Voting.
Peter F. NeherMichael GötzTobias NorajitraChristian WeberKlaus H. Maier-HeinPublished in: MICCAI (1) (2015)
Keyphrases
- machine learning
- white matter
- decision trees
- support vector machine
- feature selection
- diffusion tensor imaging
- learning algorithm
- learning classifier systems
- diffusion tensor
- machine learning methods
- training data
- diffusion mri
- fiber bundles
- magnetic resonance images
- majority voting
- training set
- data mining
- training samples
- machine learning algorithms
- classification algorithm
- support vector
- supervised classification
- white matter fiber
- automatic segmentation
- pattern recognition
- feature space
- human brain
- computer vision
- ensemble learning
- dw mri
- high angular resolution diffusion imaging
- optical fiber
- brain connectivity
- fiber optic
- dt mri
- voting method
- active learning
- tensor field
- spam filters
- feature set
- medical images
- weak classifiers
- text classification
- classification method