Non invasive classification system of scoliosis curve types using least-squares support vector machines.
Mathias M. AdankonJean DansereauHubert LabelleFarida CherietPublished in: Artif. Intell. Medicine (2012)
Keyphrases
- least squares support vector machine
- ls svm
- pattern recognition
- model selection
- supervised classification
- roc curve
- cross validation
- data sets
- feature extraction
- least squares
- image classification
- training set
- support vector machine svm
- feature space
- support vector
- machine learning
- feature vectors
- regression model
- dimension reduction
- shape analysis
- decision trees
- statistical learning theory