3D Variational Brain Tumor Segmentation using a High Dimensional Feature Set.
Dana CobzasNeil BirkbeckMark SchmidtMartin JägersandAlbert MurthaPublished in: ICCV (2007)
Keyphrases
- feature set
- high dimensional
- brain tumor segmentation
- feature space
- feature selection
- magnetic resonance images
- low dimensional
- dimensionality reduction
- feature extraction
- kernel function
- random forest
- feature vectors
- classification accuracy
- image segmentation
- nearest neighbor
- high dimensional data
- data points
- texture features
- learning algorithm
- base classifiers
- class labels
- feature subset
- medical images
- feature representation
- set of real images
- feature extraction and selection
- extracted features
- text categorization
- data mining
- training data
- machine learning