Automatic Clinical Image Segmentation Using Pathological Modelling, PCA and SVM.
Shuo LiThomas FevensAdam KrzyzakSong LiPublished in: MLDM (2005)
Keyphrases
- image segmentation
- principal component analysis
- support vector machine svm
- svm classifier
- support vector
- dimension reduction methods
- principal components analysis
- feature extraction
- principal components
- fully automatic
- image processing
- support vector machine
- feature space
- dimensionality reduction
- feature selection
- principle component analysis
- face recognition
- active contours
- computer vision
- deformable models
- machine learning
- hyperplane
- independent component analysis
- patient data
- kernel function
- training set
- clinical data
- svm classification
- spectral clustering
- region growing
- gray level
- feature vectors
- k means
- training data
- image analysis
- medical data
- covariance matrix
- support vectors
- multiple kernel learning
- classification method
- kernel pca
- multi class
- kernel principal component analysis
- features extraction