Biomedical image classification made easier thanks to transfer and semi-supervised learning.
Adrián InésCésar DomínguezJónathan HerasEloy MataVico PascualPublished in: Comput. Methods Programs Biomed. (2021)
Keyphrases
- semi supervised learning
- image classification
- transfer learning
- semi supervised
- labeled data
- unlabeled data
- machine learning
- supervised learning
- image representation
- unsupervised learning
- bag of words
- manifold regularization
- feature extraction
- active learning
- improve the classification accuracy
- text categorization
- image features
- training data
- knowledge transfer
- learning tasks
- visual words
- label propagation
- learning models
- semi supervised classification
- cross domain
- co training
- regularization framework
- graph based semi supervised learning
- sparse representation
- semi supervised learning algorithms
- multi label
- text mining
- data mining
- graph construction
- text classification
- multi view learning
- information extraction
- learning process
- opinion detection