A Breast Cancer Risk Classification Model Based on the Features Selected by Novel F-Score Index for the Imbalanced Multi-Feature Dataset.
Xiaoli LinWei HuangfuFei WangLiyuan LiuKeping LongPublished in: CyberC (2016)
Keyphrases
- breast cancer
- benign and malignant
- mammogram images
- multi feature
- breast cancer diagnosis
- feature set
- bladder cancer
- single feature
- classification accuracy
- cancer datasets
- digital mammograms
- feature extraction
- feature vectors
- image classification
- feature space
- breast tissue
- feature fusion
- multiple features
- logistic regression
- classification method
- lung nodules
- computer aided diagnosis
- cad systems
- classification models
- multi class
- machine learning
- feature selection
- random forest
- image features
- high dimensionality
- support vector machine
- svm classifier
- text classification
- data mining
- similarity measure
- textural features
- feature selection algorithms
- class labels
- training set
- active learning