Transfer learning for medical images analyses: A survey.
Xiang YuJian WangQingqi HongRaja TekuShui-Hua WangYu-Dong ZhangPublished in: Neurocomputing (2022)
Keyphrases
- medical images
- transfer learning
- learning tasks
- knowledge transfer
- anatomical structures
- medical imaging
- reinforcement learning
- mr images
- deformable models
- cross domain
- medical image analysis
- labeled data
- active learning
- magnetic resonance imaging
- transfer knowledge
- machine learning
- collaborative filtering
- machine learning algorithms
- multi task
- text mining
- medical image segmentation
- biomedical images
- semi supervised learning
- text classification
- domain adaptation
- transferring knowledge
- imaging modalities
- text categorization
- learning algorithm
- target domain
- supervised learning
- feature selection