A two-level classifier for automatic medical objects classification.
Przemyslaw Wiktor PardelJan G. BazanJacek ZarychtaStanislawa Bazan-SochaPublished in: FedCSIS (2015)
Keyphrases
- classification scheme
- classification process
- classification method
- support vector machine
- classification algorithm
- classification rate
- class labels
- feature space
- support vector
- feature set
- bayesian classifier
- svm classifier
- nearest neighbor classifier
- binary classifiers
- accurate classification
- feature selection
- training samples
- rule based classifier
- classification accuracy
- classification schemes
- final classification
- pattern recognition
- decision trees
- k nearest neighbour
- supervised learning
- hierarchical classification
- classification models
- feature values
- training set
- decision tree classifiers
- fold cross validation
- learning vector quantization
- decision boundary
- text classification
- high classification accuracy
- nearest neighbor rule
- probabilistic classifiers
- classifier combination
- support vector machine svm
- pixel classification
- classifier ensemble
- feature extraction and classification
- classification decisions
- feature vectors
- multi category
- machine learning
- multi class classifier
- multiple classifiers
- individual classifiers
- multiclass classification
- pattern classification
- d objects
- training data
- fuzzy classifier
- discriminative classifiers
- unseen data
- naive bayes classifier
- nearest neighbour
- extracted features
- roc curve
- image classification
- multi class