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: MILLanD@MICCAI (2023)
Keyphrases
- medical images
- anomaly detection
- intrusion detection
- anatomical structures
- medical image analysis
- mr images
- medical image segmentation
- anomalous behavior
- imaging modalities
- deformable models
- magnetic resonance imaging
- medical imaging
- detecting anomalies
- network intrusion detection
- network traffic
- magnetic resonance images
- magnetic resonance
- network anomaly detection
- x ray images
- brain images
- detecting anomalous
- medical image retrieval
- detect anomalies
- unsupervised learning
- intrusion detection system
- ct images
- biomedical images
- negative selection algorithm
- one class support vector machines
- pattern recognition
- segmentation of medical images
- cumulative sum
- multimodal medical images