Classification of malignant tumors using multiple sonographic features.
Subarna ChatterjeeAjoy Kumar RayRezaul KarimArindam BiswasPublished in: ReTIS (2011)
Keyphrases
- benign and malignant
- classification accuracy
- feature set
- breast cancer
- feature vectors
- classification process
- feature extraction
- digital mammograms
- lung nodules
- classification method
- feature space
- classification models
- benchmark datasets
- class labels
- extracted features
- decision trees
- svm classifier
- machine learning
- feature analysis
- feature values
- image classification
- roc analysis
- text classification
- high dimensionality
- extracting features
- training set
- feature representation
- support vector
- classification decisions
- textural features
- features extraction
- correspondence analysis
- feature selection
- feature subset
- image features
- pattern recognition
- eeg signals
- rich set
- feature selection algorithms
- texture analysis
- skin lesion
- machine learning algorithms
- supervised learning
- dce mri
- semi supervised
- training data
- breast cancer detection