Principal-Component Massive-Training Machine-Learning Regression for False-Positive Reduction in Computer-Aided Detection of Polyps in CT Colonography.
Kenji SuzukiJianwu XuJun ZhangIvan SheuPublished in: MLMI (2010)
Keyphrases
- ct colonography
- false positives
- principal components
- computer aided detection
- principal component regression
- machine learning
- false negative
- polyp detection
- breast cancer
- false positive rate
- principal component analysis
- partial least squares
- model selection
- ct scans
- data mining
- pulmonary nodules
- pattern recognition
- training data
- cad systems
- decision trees
- learning algorithm
- feature extraction
- covariance matrix
- lung nodules
- object oriented