Comparison of fine-tuning strategies for transfer learning in medical image classification.
Ana DavilaJacinto ColanYasuhisa HasegawaPublished in: Image Vis. Comput. (2024)
Keyphrases
- transfer learning
- fine tuning
- image classification
- learning tasks
- knowledge transfer
- reinforcement learning
- labeled data
- active learning
- structure learning
- machine learning
- semi supervised learning
- domain adaptation
- collaborative filtering
- cross domain
- text classification
- multi task learning
- learning algorithm
- machine learning algorithms
- feature extraction
- multi task
- cross domain learning
- neural network
- artificial intelligence
- semi supervised
- image features
- transfer knowledge
- manifold alignment
- transferring knowledge
- text categorization
- text mining
- prior knowledge
- bayesian networks
- fine tuned
- data mining