Use of imperfectly segmented nuclei in the classification of histopathology images of breast cancer.
Laura E. BoucheronB. S. ManjunathNeal R. HarveyPublished in: ICASSP (2010)
Keyphrases
- breast cancer
- breast cancer diagnosis
- breast tissue
- bladder cancer
- histopathology images
- mammogram images
- computer aided detection
- microcalcification clusters
- diagnosis of breast cancer
- cancer datasets
- benign and malignant
- roc analysis
- logistic regression
- early detection
- classification accuracy
- computer aided diagnosis
- outcome prediction
- disease progression
- cad systems
- pairwise
- training set
- decision trees
- tissue classification
- cancer patients
- mammographic images
- feature selection
- survival analysis
- text classification
- breast cancer patients
- support vector
- feature extraction