Deep Learning for Medical Anomaly Detection - A Survey.
Tharindu FernandoHarshala GammulleSimon DenmanSridha SridharanClinton FookesPublished in: ACM Comput. Surv. (2022)
Keyphrases
- anomaly detection
- deep learning
- unsupervised learning
- intrusion detection
- machine learning
- network intrusion detection
- detecting anomalies
- anomalous behavior
- network traffic
- unsupervised feature learning
- intrusion detection system
- mental models
- one class support vector machines
- semi supervised
- detect anomalies
- negative selection algorithm
- data sets
- weakly supervised
- training data
- similarity measure
- image processing
- neural network
- network anomaly detection