Anomaly guided segmentation: Introducing semantic context for lesion segmentation in retinal OCT using weak context supervision from anomaly detection.
Philipp SeeböckJosé Ignacio OrlandoMartin MichlJulia MaiUrsula Schmidt-ErfurthHrvoje BogunovicPublished in: Medical Image Anal. (2024)
Keyphrases
- anomaly detection
- semantic context
- optical coherence tomography
- lesion segmentation
- oct images
- detecting anomalies
- intrusion detection
- video annotation
- anomalous behavior
- intrusion detection system
- retinal images
- network intrusion detection
- network traffic
- visual information
- detect anomalies
- image segmentation
- segmentation method
- segmentation algorithm
- unsupervised learning
- magnetic resonance images
- multiple sclerosis
- level set
- medical images
- active learning
- image analysis
- data warehouse