Supervised classification of brain tissues through local multi-scale texture analysis by coupling DIR and FLAIR MR sequences.
Enea PolettiElisa VeroneseMassimiliano CalabreseAlessandra BertoldoEnrico GrisanPublished in: Medical Imaging: Image Processing (2012)
Keyphrases
- supervised classification
- texture analysis
- mr images
- brain tissue
- multiscale
- multiple sclerosis
- magnetic resonance
- local binary pattern
- magnetic resonance images
- texture discrimination
- white matter
- texture classification
- bias field
- multiresolution
- medical images
- gray matter
- supervised learning
- mri data
- texture features
- texture segmentation
- gray level
- rotation invariant
- image data
- image analysis
- unsupervised learning
- brain images
- texture images
- co occurrence
- feature extraction
- brain tumors
- brain mri
- gabor filters
- edge detection
- image segmentation
- active learning
- automatic segmentation
- image processing
- human brain
- diffusion tensor
- texture information
- data sets
- natural images
- learning algorithm
- machine learning