Semi-supervised learning for medical image classification using imbalanced training data.
Tri HuynhAiden NibaliZhen HePublished in: Comput. Methods Programs Biomed. (2022)
Keyphrases
- semi supervised learning
- training data
- image classification
- labeled data
- unlabeled data
- supervised learning
- class distribution
- semi supervised
- labeled training data
- labeled examples
- semi supervised classification
- bag of words
- co training
- label propagation
- manifold regularization
- data sets
- learning algorithm
- image features
- feature extraction
- image representation
- training set
- test data
- machine learning
- graph based semi supervised learning
- text categorization
- decision trees
- learning problems
- prior knowledge
- labeled and unlabeled data
- classification accuracy
- training examples
- training samples
- domain adaptation
- learning models
- support vector machine
- training process
- class imbalance
- transfer learning
- active learning
- labeled instances
- training dataset
- sparse representation
- classification models
- unsupervised learning
- multi label
- semi supervised learning algorithms
- training and test data
- computer vision
- object recognition
- label information
- probabilistic model
- positive examples
- class labels
- naive bayes