Automated segmentation of multiple sclerosis lesion in intensity enhanced flair MRI using texture features and support vector machine.
Pallab Kanti RoyAlauddin BhuiyanKotagiri RamamohanaraoPublished in: ICIP (2013)
Keyphrases
- multiple sclerosis
- texture features
- automated segmentation
- manual segmentation
- mr images
- magnetic resonance images
- feature vectors
- magnetic resonance
- brain mri
- medical images
- lesion segmentation
- brain tissue
- white matter
- anatomical structures
- automatic segmentation
- intensity distribution
- gabor filters
- image intensity
- texture analysis
- mri data
- image features
- texture information
- magnetic resonance imaging
- texture images
- distance measure
- clinical trials
- local binary pattern
- ct scans
- segmentation method
- gray level
- feature selection
- statistical shape model
- feature extraction
- prostate cancer
- medical imaging
- feature set
- image data
- training data
- decision support system
- medical image analysis
- computer vision
- human brain
- imaging modalities
- feature space
- support vector
- corpus callosum
- disease progression