Cost sensitive adaptive random subspace ensemble for computer-aided nodule detection.
Peng CaoDazhe ZhaoOsmar R. ZaïanePublished in: CBMS (2013)
Keyphrases
- computer aided
- cost sensitive
- base learners
- base classifiers
- multi class
- ensemble methods
- ensemble learning
- cad systems
- computer aided diagnosis
- binary classification
- class distribution
- naive bayes
- random forest
- image analysis
- computer aided design
- active learning
- class imbalance
- classifier ensemble
- lung nodules
- support vector machine
- decision trees
- pulmonary nodules
- classifier combination
- data mining
- benchmark datasets
- feature selection
- training data
- support vector