Feasibility of Universal Anomaly Detection without Knowing the Abnormality in Medical Images.
Can CuiYaohong WangShunxing BaoYucheng TangRuining DengLucas W. RemediosZuhayr AsadJoseph T. RolandKen S. LauQi LiuLori A. CoburnKeith T. WilsonBennett A. LandmanYuankai HuoPublished in: CoRR (2023)
Keyphrases
- medical images
- anomaly detection
- intrusion detection
- medical imaging
- anomalous behavior
- detecting anomalies
- anatomical structures
- medical image analysis
- deformable models
- ct images
- medical image segmentation
- magnetic resonance imaging
- network intrusion detection
- imaging modalities
- magnetic resonance images
- intrusion detection system
- magnetic resonance
- detect anomalies
- mr images
- network anomaly detection
- network traffic
- negative selection algorithm
- medical image retrieval
- cumulative sum
- segmentation of medical images
- one class support vector machines
- x ray images
- unsupervised learning
- biomedical images
- human brain
- brain images
- pattern recognition