A Hybrid Classifier for Mass Classification with Different Kinds of Features in Mammography.
Ping ZhangKuldeep KumarBrijesh K. VermaPublished in: FSKD (2) (2005)
Keyphrases
- feature set
- classification process
- classification method
- svm classifier
- feature space
- extracted features
- classification models
- class labels
- classification scheme
- classification accuracy
- feature vectors
- feature extraction
- feature extraction and classification
- feature selection
- multiple classifiers
- decision tree classifiers
- feature reduction
- decision trees
- classification rate
- support vector machine
- classification schemes
- final classification
- input features
- supervised classifiers
- bayesian classifier
- feature values
- feature selection algorithms
- support vector
- classification algorithm
- feature subset
- support vector machine classifier
- single feature
- bayes classifier
- svm classification
- discriminative classifiers
- image classification
- breast cancer diagnosis
- training set
- classifier combination
- roc curve
- learning vector quantization
- pixel classification
- classification decisions
- image features
- machine learning
- training data
- feature ranking
- naive bayes classifier
- classification performances
- digital mammograms
- boosted classifiers
- sufficient training data
- training samples
- multiple kernel learning
- feature histograms
- train a support vector machine
- highest accuracy
- input vectors
- knn
- decision forest
- multiple classifier systems
- individual classifiers
- weak classifiers