Effect of case mix on feature selection in the computerized classification of mammographic lesions.
Zhimin HuoMaryellen Lissak GigerPublished in: Medical Imaging: Image Processing (2002)
Keyphrases
- feature selection
- computer aided detection
- classification accuracy
- text classification
- computer aided diagnosis
- feature space
- support vector
- image analysis
- digital mammograms
- classification models
- support vector machine
- feature set
- model selection
- text categorization
- classification method
- pattern recognition
- computer aided
- feature extraction
- irrelevant features
- binary classification problems
- machine learning
- high dimensionality
- breast cancer
- feature selection and classification
- breast tissue
- decision trees
- medical imaging
- class imbalance
- dimensionality reduction
- pulmonary nodules
- accurate classification
- feature selection algorithms
- image classification
- lung nodules
- naive bayes
- redundant features
- small sample
- multi class
- classification performances
- knn
- mammographic images
- method for feature selection