High-Precision Computer-Assisted Segmentation of Multispectral MRI Data Sets in Patients with Multiple Sclerosis by a Flexible Machine Learning Image Analysis Approach.
Axel WismüllerJohannes BehrendsOliver LangeMiriana JukicKlaus HahnMaximilian F. ReiserDorothee AuerPublished in: Bildverarbeitung für die Medizin (2003)
Keyphrases
- multiple sclerosis
- multispectral
- computer assisted
- high precision
- brain mri
- image analysis
- machine learning
- computer aided
- magnetic resonance images
- gad enhancing
- lesion segmentation
- high recall
- remote sensing
- medical imaging
- anatomical structures
- white matter
- pattern recognition
- image segmentation
- clinical trials
- mr images
- region growing
- medical images
- corpus callosum
- magnetic resonance
- multispectral images
- image data
- intraoperative
- magnetic resonance imaging
- computer vision
- brain tissue
- high accuracy
- image processing
- segmentation algorithm
- medical image analysis
- image enhancement
- brain tumors
- mathematical morphology
- active learning
- segmentation method
- mri data
- decision support system
- feature selection
- image reconstruction
- manual segmentation
- level set
- neural network
- texture classification
- information extraction