A flexible machine learning image analysis system for high-precision computer-assisted segmentation of multispectral MRI data sets in patients with multiple sclerosis.
Axel WismüllerAnke Meyer-BäseJohannes BehrendsOliver LangeMiriana JukicMaximilian F. ReiserDorothee AuerPublished in: ISBI (2006)
Keyphrases
- multiple sclerosis
- multispectral
- high precision
- computer assisted
- brain mri
- image analysis
- machine learning
- magnetic resonance images
- computer aided
- lesion segmentation
- medical imaging
- gad enhancing
- remote sensing
- high recall
- anatomical structures
- pattern recognition
- white matter
- mr images
- medical images
- image segmentation
- multispectral images
- intraoperative
- region growing
- clinical trials
- magnetic resonance
- image data
- brain tissue
- mathematical morphology
- magnetic resonance imaging
- computer vision
- brain tumors
- segmentation algorithm
- image enhancement
- high accuracy
- medical image analysis
- corpus callosum
- image registration
- image processing
- data mining
- brain structures
- texture classification
- texture analysis
- segmentation method
- diffusion tensor
- mri data
- morphological operations
- feature selection
- fully automatic
- deformable models
- disease progression
- gray level
- edge detection
- multiscale