A Feature Ranking and Selection Algorithm for Brain Tumor Segmentation in Multi-Spectral Magnetic Resonance Image Data.
Ágnes GyorfiLevente KovácsLászló SzilágyiPublished in: EMBC (2019)
Keyphrases
- selection algorithm
- magnetic resonance
- image data
- multispectral
- feature ranking
- brain tumor segmentation
- feature subset
- feature subset selection
- brain tumors
- mr images
- magnetic resonance images
- feature selection algorithms
- feature selection
- classification accuracy
- brain images
- soft tissue
- feature set
- classification models
- genetic algorithm ga
- selected features
- search algorithm
- missing values
- medical images
- high dimensionality
- logistic regression
- data sets
- fold cross validation
- genetic programming
- remote sensing
- semi supervised
- support vector machine
- image registration
- random forest
- multi layer perceptron
- change detection
- text classification
- image analysis
- graph cuts