Optimizing feature selection across a multimodality database in computerized classification of breast lesions.
Karla HorschAlfredo Fredy CeballosMaryellen Lissak GigerIoana R. BontaZhimin HuoCarl J. VybornyR. Edward HendrickLi LanPublished in: Medical Imaging: Image Processing (2002)
Keyphrases
- feature selection
- database
- computer aided detection
- digital mammograms
- classification accuracy
- text classification
- classification models
- feature set
- feature extraction
- databases
- support vector
- feature space
- breast tissue
- computer aided diagnosis
- computer aided
- feature selection algorithms
- machine learning
- classification performances
- high dimensionality
- database systems
- unsupervised learning
- discriminative features
- model selection
- feature ranking
- method for feature selection
- classification method
- image classification
- supervised learning
- support vector machine svm
- text categorization
- mutual information
- breast mri
- breast cancer diagnosis
- decision trees
- knn
- lung nodules
- feature vectors
- relational databases
- data sets
- classification algorithm
- training data
- support vector machine
- selected features
- multi class
- feature subset