Highly reliable breast cancer diagnosis with cascaded ensemble classifiers.
Yungang ZhangBailing ZhangFrans CoenenWenjin LuPublished in: IJCNN (2012)
Keyphrases
- highly reliable
- breast cancer diagnosis
- ensemble classifier
- breast cancer
- ensemble learning
- concept drift
- random forest
- ensemble methods
- cancer diagnosis
- base classifiers
- classification models
- support vector machine
- decision trees
- fusion method
- feature selection
- preprocessing step
- weak classifiers
- learning algorithm
- neural network
- data sets
- preprocessing
- image segmentation
- knn
- machine learning
- benchmark datasets