Tumor Segmentation from Multimodal MRI Using Random Forest with Superpixel and Tensor Based Feature Extraction.
Halandur Nagaraja BharathS. CollemanDiana Maria SimaSabine Van HuffelPublished in: BrainLes@MICCAI (2017)
Keyphrases
- random forest
- tumor segmentation
- brain tumors
- feature extraction
- feature set
- magnetic resonance images
- mr images
- feature vectors
- brain mr images
- magnetic resonance imaging
- decision trees
- medical images
- medical image analysis
- brain tissue
- face recognition
- image classification
- magnetic resonance
- feature selection
- multi label
- principal component analysis
- feature space
- support vector machine svm
- active contour model
- dimensionality reduction
- pattern recognition
- brain images
- mri data
- active shape model
- image analysis
- decision tree learning algorithms
- machine learning
- image processing
- similarity measure
- prior knowledge
- image data
- base classifiers
- input image
- face images
- text categorization