Contrastive learning meets transfer learning: a case study in medical image analysis.
Yuzhe LuAadarsh JhaRuining DengYuankai HuoPublished in: Medical Imaging: Computer-Aided Diagnosis (2022)
Keyphrases
- transfer learning
- medical image analysis
- learning tasks
- knowledge transfer
- reinforcement learning
- learning problems
- active learning
- learning algorithm
- multi task learning
- learning process
- transfer knowledge
- medical images
- labeled data
- graph transduction
- previously learned
- anatomical structures
- unsupervised learning
- domain specific
- text categorization
- medical imaging
- transferring knowledge
- multi task
- supervised learning
- image analysis
- machine learning
- data sets
- natural language
- data analysis
- prior knowledge
- semi supervised
- text classification
- shape model
- semi supervised learning