Improving classification with forced labeling of other related classes: application to prediction of upstaged ductal carcinoma in situ using mammographic features.
Rui HouBibo ShiLars J. GrimmMaciej A. MazurowskiJeffrey R. MarksLorraine M. KingCarlo C. MaleyEun-Sil Shelley HwangJoseph Y. LoPublished in: Medical Imaging: Computer-Aided Diagnosis (2018)
Keyphrases
- feature set
- feature vectors
- classification accuracy
- class labels
- feature extraction
- classification process
- classification method
- feature space
- benchmark datasets
- classification models
- pattern recognition
- decision trees
- extracted features
- image analysis
- svm classifier
- feature analysis
- extracting features
- support vector machine svm
- training samples
- unsupervised learning
- active learning
- discriminative features
- training set
- neural network
- prediction accuracy
- classification algorithm
- pattern classification
- text classification
- feature selection algorithms
- image features
- eeg signals
- binary classifiers
- ensemble classifier