Imbalanced Breast Cancer Classification Using Transfer Learning.
Rishav SinghTanveer AhmedAbhinav KumarAmit Kumar SinghAnil Kumar PandeySanjay Kumar SinghPublished in: IEEE ACM Trans. Comput. Biol. Bioinform. (2021)
Keyphrases
- breast cancer
- transfer learning
- breast cancer diagnosis
- bladder cancer
- computer aided detection
- mammogram images
- machine learning
- microcalcification clusters
- cancer datasets
- text classification
- diagnosis of breast cancer
- machine learning algorithms
- benign and malignant
- logistic regression
- active learning
- breast tissue
- computer aided diagnosis
- cross domain
- cross domain learning
- labeled data
- support vector machine
- class imbalance
- breast cancer patients
- reinforcement learning
- semi supervised learning
- support vector
- transfer knowledge
- feature extraction
- decision trees
- feature selection
- training set
- supervised learning
- multi task
- mammographic images
- training data
- high dimensional
- classification accuracy
- semi supervised
- collaborative filtering
- dimensionality reduction
- feature set
- cancer patients
- model selection
- unlabeled data
- naive bayes
- lung nodules
- class labels
- computer aided
- cost sensitive