Combining multiple feature representations and AdaBoost ensemble learning for reducing false-positive detections in Computer-aided Detection of masses on mammograms.
Jae Young ChoiDae Hoe KimKonstantinos N. PlataniotisYong Man RoPublished in: EMBC (2012)
Keyphrases
- false positives
- ensemble learning
- combining multiple
- computer aided diagnosis
- breast cancer
- cad systems
- ensemble methods
- generalization ability
- medical images
- base classifiers
- ensemble classifier
- computer aided
- random forest
- image analysis
- classifier ensemble
- concept drift
- medical imaging
- learning algorithm
- logistic regression
- decision trees
- prediction accuracy
- face detection
- object detection
- feature selection
- graph cuts
- multi class
- object recognition
- computer vision