Application of DenseNets for Classification of Breast Cancer Mammograms.
Anita RybialekLukasz JelenPublished in: CISIM (2020)
Keyphrases
- breast cancer
- breast cancer diagnosis
- mammogram images
- clustered microcalcifications
- microcalcification clusters
- diagnosis of breast cancer
- computer aided diagnosis
- bladder cancer
- benign and malignant
- computer aided detection
- breast tissue
- roc analysis
- logistic regression
- early detection
- breast cancer patients
- cancer datasets
- classification accuracy
- early detection of breast cancer
- cad systems
- lung nodules
- digital mammograms
- digital mammography
- survival analysis
- breast cancer detection
- mammographic images
- text classification
- feature vectors
- support vector
- feature selection
- cancer patients
- outcome prediction
- machine learning
- data mining