Anomaly detection-inspired few-shot medical image segmentation through self-supervision with supervoxels.
Stine HansenSrishti GautamRobert JenssenMichael KampffmeyerPublished in: Medical Image Anal. (2022)
Keyphrases
- anomaly detection
- medical image segmentation
- medical images
- curve evolution
- intrusion detection
- anomalous behavior
- detecting anomalies
- medical image analysis
- network traffic
- network intrusion detection
- level set method
- image segmentation
- statistical shape model
- video sequences
- intrusion detection system
- medical imaging
- image registration
- active learning
- detect anomalies
- network anomaly detection
- one class support vector machines
- unsupervised learning
- pattern recognition
- bayesian networks
- data mining
- negative selection algorithm