Understanding the Mechanisms of Deep Transfer Learning for Medical Images.
Hariharan RavishankarPrasad SudhakarRahul VenkataramaniSheshadri ThiruvenkadamPavan AnnangiNarayanan BabuVivek VaidyaPublished in: CoRR (2017)
Keyphrases
- medical images
- transfer learning
- anatomical structures
- knowledge transfer
- learning tasks
- deformable models
- medical image segmentation
- labeled data
- medical imaging
- reinforcement learning
- imaging modalities
- active learning
- cross domain
- medical image analysis
- collaborative filtering
- mr images
- machine learning
- text categorization
- machine learning algorithms
- magnetic resonance imaging
- domain adaptation
- biomedical images
- semi supervised learning
- multi task
- transfer knowledge
- target domain
- learning algorithm
- cross domain learning
- segmentation of medical images
- transferring knowledge
- semi supervised
- information retrieval
- data sets
- medical image retrieval
- computer vision
- image segmentation
- text classification
- multimodal medical images