Automated Renal Cell Carcinoma Subtype Classification Using Morphological, Textural and Wavelets Based Features.
Qaiser ChaudrySyed Hussain RazaAndrew N. YoungMay D. WangPublished in: J. Signal Process. Syst. (2009)
Keyphrases
- feature set
- feature extraction
- feature vectors
- classification accuracy
- textural features
- classification models
- classification method
- classification process
- extracted features
- svm classifier
- feature space
- rotational invariant
- benchmark datasets
- feature selection
- automated classification
- image processing
- feature values
- high dimensionality
- feature representation
- multiscale
- class labels
- support vector machine svm
- feature analysis
- extracting features
- wavelet features
- machine learning
- protein subcellular location
- face recognition
- classification algorithm
- support vector
- image compression
- pattern recognition
- feature subset
- image classification
- automated analysis
- decision trees
- pattern spectrum
- multiresolution
- signal processing
- discriminative features
- false positives
- mathematical morphology
- feature selection algorithms
- texture analysis