Texture-based features for classification of mammograms using decision tree.
Aswini Kumar MohantyManas Ranjan SenapatiSwapnasikta BebertaSaroj Kumar LenkaPublished in: Neural Comput. Appl. (2013)
Keyphrases
- decision trees
- classification models
- feature set
- feature vectors
- classification accuracy
- feature space
- feature extraction
- feature construction
- decision tree classifiers
- classification method
- feature analysis
- classification process
- extracted features
- svm classifier
- extracting features
- decision tree algorithm
- naive bayes
- support vector
- benchmark datasets
- random forest
- feature selection
- decision rules
- pattern recognition
- class labels
- image classification
- machine learning
- machine learning algorithms
- texture features
- training set
- training data
- active learning
- feature selection algorithms
- information gain
- multi class
- high dimensionality
- classification rules
- support vector machine svm
- digital mammograms
- fuzzy decision trees
- decision tree learning
- digitized mammograms
- feature weights
- bayes classifier
- classification trees
- knn
- image features
- text classification