Control-group feature normalization for multivariate pattern analysis of structural MRI data using the support vector machine.
Kristin A. LinnBilwaj GaonkarTheodore D. SatterthwaiteJimit DoshiChristos DavatzikosRussell T. ShinoharaPublished in: NeuroImage (2016)
Keyphrases
- pattern analysis
- mri data
- control group
- support vector machine
- statistically significant
- experimental group
- magnetic resonance imaging
- fully automatic
- significantly higher
- pattern recognition
- feature vectors
- mr images
- synthetic data
- magnetic resonance images
- white matter
- image analysis
- dt mri
- computational intelligence
- pattern classification
- computer software
- medical images
- grade students
- randomly assigned
- statistical tests
- dce mri
- attitudes toward
- expert systems
- data analysis
- machine learning
- data sets
- computer assisted instruction
- concept mapping
- learning styles
- feature selection
- treatment group
- computer vision