Comparison of Pleomorphic and Structural Features Used for Breast Cancer Malignancy Classification.
Lukasz JelenAdam KrzyzakThomas FevensPublished in: Canadian Conference on AI (2008)
Keyphrases
- breast cancer
- structural features
- breast cancer diagnosis
- mammogram images
- bladder cancer
- benign and malignant
- diagnosis of breast cancer
- computer aided detection
- cancer datasets
- computer aided diagnosis
- microcalcification clusters
- logistic regression
- breast tissue
- breast cancer patients
- lung nodules
- cad systems
- feature set
- classification accuracy
- text classification
- machine learning
- image classification
- structural information
- image processing
- mammographic images
- active learning
- feature space
- decision trees
- computer aided
- feature selection