Skull Segmentation in MRI by a Support Vector Machine Combining Local and Global Features.
Jens SjölundAndreas Eriksson JarlideniMats T. AnderssonHans KnutssonHakan NordstromPublished in: ICPR (2014)
Keyphrases
- mri images
- global features
- support vector machine
- medical images
- brain scans
- magnetic resonance imaging
- feature vectors
- region segmentation
- magnetic resonance images
- medical imaging
- visual features
- brain tumors
- ct images
- classification method
- image features
- cerebrospinal fluid
- mr images
- carotid artery
- brain images
- keypoints
- image segmentation
- brain structures
- partial volume
- white matter
- mri data
- skull stripping
- kernel methods
- brain tissue
- bias field
- segmentation algorithm
- magnetic resonance
- machine learning
- training data
- classification algorithm
- k nearest neighbor
- knn
- training set
- brain mr images
- pattern recognition
- computer tomography
- support vector
- multiscale
- random walker
- image processing