Iterative learning to make the most of unlabeled and quickly obtained labeled data in histology.
Laxmi GuptaBarbara Mara KlinkhammerPeter BoorDorit MerhofMichael GadermayrPublished in: MIDL (2019)
Keyphrases
- labeled data
- unlabeled data
- semi supervised learning
- semi supervised
- iterative learning
- active learning
- text classification
- training data
- supervised learning
- data points
- labeled and unlabeled data
- semi supervised classification
- prior knowledge
- labeled examples
- domain adaptation
- class labels
- transfer learning
- co training
- labeled training set
- labeled training data
- unlabeled examples
- learning algorithm
- training examples
- label information
- error reduction
- incremental learning
- pairwise
- labeling effort
- machine learning
- class distribution
- text categorization
- significant improvement
- similarity measure
- e learning
- unlabeled instances