Deep Active Learning for Glioblastoma Quantification.
Subhashis BanerjeeRobin StrandPublished in: SCIA (1) (2023)
Keyphrases
- active learning
- learning algorithm
- random sampling
- semi supervised
- machine learning
- magnetic resonance imaging
- learning strategies
- supervised learning
- selective sampling
- training set
- pool based active learning
- crowd sourced
- sample selection
- training examples
- learning process
- imbalanced data classification
- experimental design
- generalization error
- labeled data
- relevance feedback
- cost sensitive
- transfer learning
- decision trees
- data mining
- quantitative evaluation
- unlabeled data
- semi supervised learning
- unsupervised learning
- belief nets
- active learning strategies
- annotation effort
- batch mode active learning
- multi class