Self-supervised learning and semi-supervised learning for multi-sequence medical image classification.
Yueyue WangDanjun SongWentao WangShengxiang RaoXiaoying WangManning WangPublished in: Neurocomputing (2022)
Keyphrases
- semi supervised learning
- supervised learning
- learning problems
- image classification
- unsupervised learning
- active learning
- semi supervised
- learning algorithm
- learning models
- unlabeled data
- labeled and unlabeled data
- domain adaptation
- machine learning
- graph transduction
- supervised learning algorithms
- labeled data
- prior knowledge
- learning process
- covariate shift
- manifold regularization
- co training
- multi view learning
- reinforcement learning
- semi supervised classification
- similarity measure
- boosting framework
- training data
- image representation
- feature extraction
- learning tasks
- transfer learning
- feature selection