A real use case of semi-supervised learning for mammogram classification in a local clinic of Costa Rica.
Saúl Calderón RamírezDiego Murillo-HernandezKevin Rojas-SalazarDavid A. ElizondoShengxiang YangArmaghan MoemeniMiguel A. Molina-CabelloPublished in: Medical Biol. Eng. Comput. (2022)
Keyphrases
- semi supervised learning
- supervised learning
- improve the classification accuracy
- semi supervised classification
- semi supervised
- co training
- unlabeled data
- labeled data
- unsupervised learning
- machine learning
- labeled and unlabeled data
- transductive support vector machine
- uci datasets
- semi supervised learning algorithms
- supervised learning algorithms
- classification accuracy
- unlabeled samples
- text classification
- pattern recognition
- text categorization
- manifold regularization
- class labels
- supervised classification
- instance selection
- decision trees
- image classification
- support vector
- active learning
- feature selection
- label propagation
- graph based semi supervised learning
- training data
- domain adaptation
- real world
- training set
- model selection
- labeled examples
- machine learning algorithms
- feature space
- e learning
- decision boundary
- graph construction
- dimension reduction
- transfer learning
- text mining
- learning algorithm
- labeled instances
- semi supervised learning methods
- learning process
- kernel function
- opinion detection
- training samples