A transfer learning approach for classification of clinical significant prostate cancers from mpMRI scans.
Quan ChenXiang XuShiliang HuXiao LiQing ZouYunpeng LiPublished in: Medical Imaging: Computer-Aided Diagnosis (2017)
Keyphrases
- transfer learning
- text classification
- machine learning
- learning tasks
- cross domain learning
- machine learning algorithms
- prostate cancer
- text categorization
- knowledge transfer
- labeled data
- cross domain
- structure learning
- decision trees
- transfer knowledge
- document classification
- multi task learning
- label information
- cross domain text classification
- support vector
- active learning
- supervised learning
- feature selection
- decision boundary
- training set
- feature vectors
- domain adaptation
- support vector machine
- domain specific
- manifold alignment
- learning algorithm
- multi task
- semi supervised
- reinforcement learning
- transferring knowledge
- information retrieval