SECODA: Segmentation- and Combination-Based Detection of Anomalies.
Ralph FoorthuisPublished in: DSAA (2017)
Keyphrases
- anomaly detection
- image segmentation
- low signal to noise ratio
- cell segmentation
- region growing
- segmentation algorithm
- detection algorithm
- segmentation accuracy
- level set
- image analysis
- detection method
- false positives
- boundary detection
- reliable detection
- fracture detection
- image regions
- object segmentation
- automatic detection
- features extraction
- event detection
- fully automatic
- medical imaging
- segmentation method
- object detection
- detect anomalies
- detection rate
- accurate localization
- rib cage
- false alarms
- medical images
- multiscale
- automated detection
- abnormal behavior
- automatic segmentation
- intrusion detection
- circular hough transform
- video sequences