Semi-supervised learning for medical image classification using imbalanced training data.
Tri HuynhAiden NibaliZhen HePublished in: CoRR (2021)
Keyphrases
- semi supervised learning
- training data
- image classification
- labeled data
- unlabeled data
- supervised learning
- class distribution
- semi supervised classification
- semi supervised
- labeled training data
- bag of words
- label propagation
- data sets
- text categorization
- learning problems
- image features
- image representation
- learning algorithm
- labeled examples
- classification accuracy
- class labels
- decision trees
- class imbalance
- test data
- co training
- multi label
- training instances
- learning models
- training examples
- training set
- feature extraction
- manifold regularization
- domain adaptation
- labeled and unlabeled data
- transfer learning
- test set
- active learning
- training process
- training dataset
- positive examples
- unsupervised learning
- support vector machine
- classification models
- training samples
- prior knowledge
- computer vision
- machine learning