Unsupervised Deep Anomaly Detection for Medical Images Using an Improved Adversarial Autoencoder.
Haibo ZhangWenping GuoShiqing ZhangHongsheng LuXiaoming ZhaoPublished in: J. Digit. Imaging (2022)
Keyphrases
- medical images
- anomaly detection
- unsupervised anomaly detection
- unsupervised learning
- intrusion detection
- medical image analysis
- medical imaging
- anatomical structures
- deformable models
- mr images
- anomalous behavior
- network intrusion detection
- medical image segmentation
- detecting anomalies
- magnetic resonance
- magnetic resonance images
- magnetic resonance imaging
- one class support vector machines
- biomedical images
- brain images
- network traffic
- restricted boltzmann machine
- segmentation of medical images
- detect anomalies
- imaging modalities
- intrusion detection system
- supervised learning
- network anomaly detection
- negative selection algorithm
- machine learning
- medical image retrieval
- deep learning
- semi supervised
- detecting anomalous
- multimodal medical images
- normal behavior
- high resolution
- learning algorithm