Reinforcement Learning in Medical Image Analysis: Concepts, Applications, Challenges, and Future Directions.
Mingzhe HuJiahan ZhangLuke MatkovicTian LiuXiaofeng YangPublished in: CoRR (2022)
Keyphrases
- future directions
- medical image analysis
- lessons learned
- current challenges
- reinforcement learning
- medical images
- open questions
- deformable models
- image registration
- medical imaging
- image analysis
- imaging modalities
- anatomical structures
- advanced technologies
- medical image segmentation
- medical image data
- current status
- computer vision and pattern recognition
- brain mr images
- visual programming environment
- current trends
- high resolution
- clinical applications
- image processing
- case study
- brain structures
- shape modeling
- real world
- digital image analysis
- software product line
- neural network
- machine learning
- computer vision
- face recognition
- image segmentation
- high quality
- higher order
- health sciences
- medical data
- magnetic resonance images