Normal Mammogram Detection Based on Local Probability Difference Transforms and Support Vector Machines.
Werapon ChiracharitYajie SunPinit KumhomKosin ChamnongthaiCharles F. BabbsEdward J. DelpPublished in: IEICE Trans. Inf. Syst. (2007)
Keyphrases
- genetic algorithm
- support vector
- learning machines
- false alarm rate
- digital mammography
- large margin classifiers
- detection accuracy
- false alarms
- automatic detection
- probability distribution
- abnormal behavior
- object detection
- detection method
- kernel function
- logistic regression
- false positives
- chi square test
- event detection
- image analysis
- breast cancer
- loss function
- target detection
- training examples
- multi class classification
- detection algorithm
- digitized mammograms
- kernel methods
- detection rate
- svm classifier
- cross entropy
- anomaly detection
- digital mammograms
- support vector machine
- classification accuracy