Automated matching of supine and prone colonic polyps based on PCA and SVMs.
Shijun WangRobert L. Van Uitert Jr.Ronald M. SummersPublished in: Medical Imaging: Computer-Aided Diagnosis (2008)
Keyphrases
- principal component analysis
- support vector
- principal components analysis
- polyp detection
- dimension reduction methods
- ct colonography
- colonic polyps
- feature space
- kernel principal component analysis
- dimensionality reduction
- feature selection
- kernel function
- support vector machine
- multi class
- support vector machine svm
- principal components
- svm classifier
- feature extraction
- pattern recognition
- support vectors
- face recognition
- computer aided
- linear discriminant analysis
- high dimensional
- machine learning