Classification of phosphorus magnetic resonance spectroscopic imaging of brain tumors using support vector machine and logistic regression at 3T.
Fusun Citak ErGokce Hale HatayEmre OkeerMuhammed YildirimBahattin HakyemezEsin Ozturk-IsikPublished in: EMBC (2014)
Keyphrases
- magnetic resonance
- logistic regression
- brain tumors
- support vector
- support vector machine
- mr images
- linear support vector machines
- decision trees
- medical images
- logistic regression models
- svm classifier
- image data
- brain images
- classification accuracy
- magnetic resonance images
- image registration
- support vector machine svm
- loss function
- soft tissue
- mr imaging
- class membership probabilities
- feature selection
- linear svm
- naive bayes
- feature space
- deformable registration
- feature vectors
- cardiac motion
- pattern recognition
- breast cancer
- training set
- magnetic resonance spectroscopy
- classification trees
- medical image analysis
- hyperplane
- feature extraction
- brain mr images
- neural network
- training data
- brain tissue
- bayesian networks
- decision boundary
- anatomical structures