Uncertainty-aware prototypical learning for anomaly detection in medical images.
Chao HuangYushu ShiBob ZhangKe LyuPublished in: Neural Networks (2024)
Keyphrases
- medical images
- anomaly detection
- connectionist systems
- unsupervised learning
- learning process
- intrusion detection
- intrusion detection system
- medical imaging
- deformable models
- mr images
- learning algorithm
- magnetic resonance imaging
- anatomical structures
- medical image analysis
- magnetic resonance
- magnetic resonance images
- network intrusion detection
- medical image segmentation
- detecting anomalies
- anomalous behavior
- object recognition
- imaging modalities
- image segmentation