Comparative Performance of Random Forest and Support Vector Machine Classifiers for Detection of Colorectal Lesions in CT Colonography.
Janne NäppiDaniele ReggeHiroyuki YoshidaPublished in: Abdominal Imaging (2011)
Keyphrases
- random forest
- ct colonography
- computer aided detection
- support vector machine classifiers
- polyp detection
- random forests
- decision trees
- breast cancer
- ct scans
- pulmonary nodules
- cad systems
- feature set
- ensemble methods
- multi label
- computer aided
- active shape model
- support vector machine
- image processing
- computer aided diagnosis
- ct data