MADGAN: unsupervised Medical Anomaly Detection GAN using multiple adjacent brain MRI slice reconstruction.
Changhee HanLeonardo RundoKohei MuraoTomoyuki NoguchiYuki ShimaharaZoltán Ádám MilacskiSaori KoshinoEvis SalaHideki NakayamaShin'ichi SatohPublished in: CoRR (2020)
Keyphrases
- anomaly detection
- brain mri
- unsupervised anomaly detection
- intrusion detection
- unsupervised learning
- network traffic
- detecting anomalies
- one class support vector machines
- anatomical structures
- anomalous behavior
- network intrusion detection
- detecting anomalous
- intrusion detection system
- negative selection algorithm
- supervised learning
- detect anomalies
- region growing
- magnetic resonance images
- three dimensional
- semi supervised
- high resolution
- image analysis
- high dimensional
- training data