Heterogeneous Domain Adaptation for IHC Classification of Breast Cancer Subtypes.
Firat IsmailogluRachel CavillEvgueni N. SmirnovShuang ZhouPieter CollinsRalf PeetersPublished in: IEEE ACM Trans. Comput. Biol. Bioinform. (2020)
Keyphrases
- breast cancer
- domain adaptation
- breast cancer diagnosis
- computer aided detection
- mammogram images
- bladder cancer
- diagnosis of breast cancer
- microcalcification clusters
- cancer datasets
- document classification
- logistic regression
- breast tissue
- classification accuracy
- sentiment classification
- text classification
- breast cancer patients
- data sets
- cross domain
- feature representation
- co training
- computer aided diagnosis
- labeled data
- supervised learning
- classification algorithm
- machine learning
- feature selection
- semi supervised
- support vector machine
- decision trees
- reinforcement learning
- feature space
- semi supervised learning
- k nearest neighbor
- cancer diagnosis
- test data
- training set
- unlabeled data
- training data
- text categorization
- class labels
- information retrieval
- multiple sources