Machine Learning on Biomedical Images: Interactive Learning, Transfer Learning, Class Imbalance, and Beyond.
Naimul Mefraz KhanNabila AbrahamLing GuanPublished in: CoRR (2019)
Keyphrases
- transfer learning
- interactive learning
- class imbalance
- biomedical images
- active learning
- machine learning
- learning tasks
- labeled data
- medical images
- class distribution
- cost sensitive
- image analysis
- machine learning algorithms
- feature selection
- semi supervised learning
- multi task
- supervised learning
- reinforcement learning
- learning algorithm
- image search
- high dimensionality
- text mining
- text classification
- concept drift
- text categorization
- knowledge discovery
- computer vision
- prior knowledge
- unlabeled data
- semi supervised
- image collections
- databases
- neural network
- image data
- training examples
- collaborative filtering
- database systems
- support vector machine
- decision trees
- training data
- learning process
- data processing
- target domain
- bayesian networks
- image classification