Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT.
Philipp SeeböckJosé Ignacio OrlandoThomas SchleglSebastian M. WaldsteinHrvoje BogunovicSophie KlimschaGeorg LangsUrsula Schmidt-ErfurthPublished in: CoRR (2019)
Keyphrases
- anomaly detection
- optical coherence tomography
- oct images
- imaging modalities
- medical images
- intrusion detection
- network intrusion detection
- detecting anomalies
- anomalous behavior
- retinal images
- intrusion detection system
- network traffic
- detect anomalies
- fundus images
- unsupervised anomaly detection
- unsupervised learning
- network anomaly detection
- image segmentation
- network security
- computer security
- image analysis
- coronary artery
- behavior analysis
- blood vessels
- detecting anomalous
- malware detection
- cumulative sum
- principal component analysis
- negative selection algorithm
- connectionist systems
- machine learning