Diagnosing Breast Masses in Digital Mammography Using Feature Selection and Ensemble Methods.
Shu-Ting LuoBor-Wen ChengPublished in: J. Medical Syst. (2012)
Keyphrases
- digital mammography
- ensemble methods
- computer aided diagnosis
- feature selection
- feature subset
- ensemble feature selection
- breast cancer
- ensemble learning
- computer aided
- prediction accuracy
- ensemble classification
- decision trees
- random forests
- machine learning methods
- digital mammograms
- medical images
- random forest
- benchmark datasets
- ensemble classifier
- mammogram images
- generalization ability
- imbalanced data
- base classifiers
- classification accuracy
- image analysis
- feature set
- feature selection algorithms
- medical imaging
- text categorization
- machine learning
- bootstrap sampling
- support vector machine
- naive bayes
- base learners
- multi class
- support vector
- neural network
- genetic algorithm ga
- k nearest neighbor
- model selection
- text classification
- feature space
- multi task
- image processing
- data sets
- knn
- pattern recognition
- image segmentation
- decision tree ensembles