Anomaly Detection for Medical Images Using Self-Supervised and Translation-Consistent Features.
He ZhaoYuexiang LiNanjun HeKai MaLeyuan FangHuiqi LiYefeng ZhengPublished in: IEEE Trans. Medical Imaging (2021)
Keyphrases
- medical images
- anomaly detection
- intrusion detection
- medical imaging
- mr images
- medical image analysis
- anatomical structures
- detecting anomalies
- deformable models
- network traffic
- magnetic resonance
- network intrusion detection
- magnetic resonance images
- anomalous behavior
- biomedical images
- imaging modalities
- magnetic resonance imaging
- medical image segmentation
- computer aided diagnosis
- brain images
- medical image retrieval
- one class support vector machines
- segmentation of medical images
- intrusion detection system
- x ray images
- unsupervised learning
- computational intelligence
- co occurrence
- feature extraction
- network anomaly detection
- computer vision
- maximum likelihood
- malware detection
- feature vectors
- detect anomalies
- feature space
- negative selection algorithm