Learning From Multiple Expert Annotators for Enhancing Anomaly Detection in Medical Image Analysis.
Khiem H. LeTuan V. TranHieu H. PhamHieu T. NguyenTung T. LeHa Q. NguyenPublished in: IEEE Access (2023)
Keyphrases
- anomaly detection
- medical image analysis
- intrusion detection
- connectionist systems
- unsupervised learning
- supervised learning
- medical images
- learning process
- network intrusion detection
- anomalous behavior
- deformable models
- reinforcement learning
- image segmentation
- anatomical structures
- network anomaly detection
- detecting anomalies
- magnetic resonance images
- learning algorithm
- detecting anomalous
- negative selection algorithm
- image processing
- training data
- image registration
- hidden markov models