Breast cancer: new mammography dual-view classification approach based on pre-processing and transfer learning techniques.
Saida Sarra BoudouhMustapha BouakkazPublished in: Multim. Tools Appl. (2024)
Keyphrases
- breast cancer
- transfer learning
- breast cancer diagnosis
- preprocessing
- bladder cancer
- mammogram images
- diagnosis of breast cancer
- computer aided detection
- benign and malignant
- text classification
- logistic regression
- computer aided diagnosis
- breast tissue
- cancer datasets
- machine learning
- early detection
- early detection of breast cancer
- cross domain
- feature extraction
- machine learning algorithms
- microcalcification clusters
- breast cancer patients
- support vector
- transfer knowledge
- labeled data
- decision trees
- breast cancer detection
- reinforcement learning
- cad systems
- active learning
- mammographic images
- classification accuracy
- semi supervised learning
- support vector machine
- target domain
- collaborative filtering
- cancer patients
- feature space
- cancer diagnosis
- unsupervised learning
- semi supervised
- supervised learning
- feature selection