Unsupervised Brain Anomaly Detection and Segmentation with Transformers.
Walter Hugo Lopez PinayaPetru-Daniel TudosiuRobert GrayGeraint ReesParashkev NachevSébastien OurselinM. Jorge CardosoPublished in: MIDL (2021)
Keyphrases
- anomaly detection
- unsupervised anomaly detection
- intrusion detection
- unsupervised learning
- novelty detection
- network intrusion detection
- detecting anomalies
- intrusion detection system
- anomalous behavior
- brain tumors
- network traffic
- medical images
- one class support vector machines
- network security
- network anomaly detection
- behavior analysis
- malware detection
- detecting anomalous
- semi supervised
- image segmentation
- cumulative sum
- computer security
- training data
- network intrusion
- hidden markov models
- image processing
- negative selection algorithm
- supervised learning
- detect anomalies
- normal behavior
- learning algorithm
- brain images