Cost-Sensitive Ensemble of Support Vector Machines for Effective Detection of Microcalcification in Breast Cancer Diagnosis.
Yonghong PengQian HuangPing JiangJianmin JiangPublished in: FSKD (2) (2005)
Keyphrases
- breast cancer diagnosis
- cost sensitive
- binary classification
- breast cancer
- support vector
- multi class
- cost sensitive learning
- misclassification costs
- cancer diagnosis
- naive bayes
- digital mammography
- cost sensitive classification
- class distribution
- support vector machine
- base classifiers
- multi class classification
- decision trees
- digital mammograms
- active learning
- class imbalance
- training data
- training set
- image segmentation
- feature selection
- learning algorithm
- machine learning