A Hybrid Approach to MR Imaging Segmentation Using Unsupervised Clustering and Approximate Reducts.
Sebastian WidzKenneth RevettDominik SlezakPublished in: RSFDGrC (2) (2005)
Keyphrases
- unsupervised clustering
- mr imaging
- image segmentation
- supervised classification
- mr images
- magnetic resonance
- motion tracking
- mri data
- clustering algorithm
- k means
- automated segmentation
- rough sets
- contrast enhanced
- clustering method
- medical images
- level set
- fully automatic
- magnetic resonance images
- fuzzy clustering
- spectral clustering
- fuzzy c means
- segmentation method
- region growing
- document clustering
- data sets
- segmentation algorithm
- image data
- image analysis
- brain tumors
- training set
- training data
- machine learning