Correction to "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: IEEE Trans. Medical Imaging (2020)
Keyphrases
- anomaly detection
- optical coherence tomography
- oct images
- imaging modalities
- medical images
- intrusion detection
- detecting anomalies
- network intrusion detection
- anomalous behavior
- unsupervised anomaly detection
- retinal images
- fundus images
- network anomaly detection
- image analysis
- medical imaging
- network traffic
- detecting anomalous
- low contrast
- one class support vector machines
- intrusion detection system
- computer security
- detect anomalies
- blood vessels
- image segmentation
- network intrusion
- unsupervised learning
- behavior analysis
- coronary artery
- maximum entropy
- optic disc
- brain images
- negative selection algorithm
- anatomical structures
- connectionist systems
- learning algorithm