Influence of feature set reduction on breast cancer malignancy classification of fine needle aspiration biopsies.
Lukasz JelenAdam KrzyzakThomas FevensMichal JelenPublished in: Comput. Biol. Medicine (2016)
Keyphrases
- breast cancer
- feature set
- breast cancer diagnosis
- classification accuracy
- feature reduction
- feature vectors
- feature selection
- mammogram images
- logistic regression
- bladder cancer
- computer aided diagnosis
- diagnosis of breast cancer
- feature space
- computer aided detection
- class labels
- benign and malignant
- early detection
- cancer datasets
- random forest
- feature extraction
- microcalcification clusters
- texture features
- feature selection algorithms
- breast tissue
- pattern recognition
- machine learning
- support vector
- extracted features
- feature subset
- feature extraction and selection
- cancer patients
- base classifiers
- decision trees
- naive bayes
- text classification
- cross validation
- training set