Automatic Ischemic Stroke Lesion Segmentation in Multi-spectral MRI Images Using Random Forests Classifier.
Qaiser MahmoodAbdul BasitPublished in: Brainles@MICCAI (2015)
Keyphrases
- lesion segmentation
- random forests
- mri images
- multispectral
- magnetic resonance imaging
- magnetic resonance images
- decision trees
- random forest
- multiple sclerosis
- medical images
- remote sensing
- mri data
- machine learning algorithms
- logistic regression
- mr images
- image analysis
- image data
- medical imaging
- brain tissue
- training data
- ensemble methods
- ischemic stroke
- feature set
- white matter
- high resolution
- training set
- support vector
- learning algorithm
- class labels
- imaging modalities
- brain tumors
- feature space
- region growing
- clinical trials
- feature selection