Principal component analysis, classifier complexity, and robustness of sonographic breast lesion classification.
Karen DrukkerNicholas GruszauskasMaryellen L. GigerPublished in: Medical Imaging: Computer-Aided Diagnosis (2009)
Keyphrases
- classification method
- principal component analysis
- feature space
- classification algorithm
- classification scheme
- classification process
- classification rate
- feature selection
- support vector machine
- support vector
- feature set
- class labels
- svm classifier
- decision trees
- feature reduction
- breast cancer diagnosis
- classification accuracy
- learning vector quantization
- dimension reduction
- training samples
- multi category
- classification models
- bayesian classifier
- higher classification accuracy
- fisher linear discriminant
- final classification
- k nearest neighbour
- training set
- multiclass classification
- breast tissue
- roc curve
- binary classifiers
- machine learning
- feature extraction
- pattern recognition
- support vector machine svm
- neural classifier
- nearest neighbor classifier
- individual classifiers
- fold cross validation
- probabilistic classifiers
- text classification
- training procedure
- principal components
- classifier combination
- classifier ensemble
- learning phase
- pixel classification
- dimensionality reduction
- supervised learning
- training data
- cost sensitive
- binary decision tree