Discrimination of Breast Tumors in Ultrasonic Images Using an Ensemble Classifier Based on the AdaBoost Algorithm With Feature Selection.
Atsushi TakemuraAkinobu ShimizuKazuhiko HamamotoPublished in: IEEE Trans. Medical Imaging (2010)
Keyphrases
- breast tumors
- ultrasonic images
- feature selection
- adaboost algorithm
- support vector machine
- automated detection
- spectrum analysis
- face detection
- weak classifiers
- training process
- numerical data
- ultrasound images
- feature subset
- text categorization
- multi class
- boosting algorithms
- text classification
- support vector
- automated analysis
- model selection
- digital mammograms
- feature space
- ensemble methods
- feature extraction
- fractal analysis
- training data
- face recognition
- frequency domain
- breast cancer
- machine learning
- training set
- learning algorithm
- lung cancer
- adaptive filter
- feature set
- classification accuracy
- pairwise