Deep Reinforcement Active Learning for Medical Image Classification.
Jingwen WangYuguang YanYubing ZhangGuiping CaoMing YangMichael K. NgPublished in: MICCAI (1) (2020)
Keyphrases
- image classification
- active learning
- reinforcement learning
- feature extraction
- image representation
- medical domain
- bag of words
- visual features
- random sampling
- learning algorithm
- multi label
- semi supervised
- learning strategies
- supervised learning
- medical experts
- machine learning
- relevance feedback
- selective sampling
- batch mode
- class specific
- medical diagnosis
- image features
- sparse coding
- medical imaging
- experimental design
- transfer learning
- learning process
- semi supervised learning
- sample selection
- crowd sourced
- active learning strategies
- visual words
- computer vision
- medical information
- sparse representation
- pool based active learning
- music emotion classification