Discovering interobserver variability in the cytodiagnosis of breast cancer using decision trees and Bayesian networks.
Nicandro Cruz-RamírezHéctor-Gabriel Acosta-MesaHumberto Carrillo-CalvetRocío-Erandi Barrientos-MartínezPublished in: Appl. Soft Comput. (2009)
Keyphrases
- breast cancer
- decision trees
- bayesian networks
- logistic regression
- naive bayes
- diagnosis of breast cancer
- breast cancer diagnosis
- early detection
- computer aided diagnosis
- survival analysis
- mammogram images
- cad systems
- breast cancer detection
- computer aided detection
- random forest
- breast cancer patients
- bladder cancer
- ensemble methods
- dce mri
- digital mammography
- data mining methods
- training set
- data analysis
- data mining and statistical
- training data