Dr-SAM: An End-to-End Framework for Vascular Segmentation, Diameter Estimation, and Anomaly Detection on Angiography Images.
Vazgen ZohranyanVagner NavasardyanHayk NavasardyanJan BorggrefeShant NavasardyanPublished in: CoRR (2024)
Keyphrases
- end to end
- anomaly detection
- angiography images
- intrusion detection
- detecting anomalies
- network traffic
- segmentation method
- segmentation algorithm
- computer vision
- one class support vector machines
- low contrast
- network security
- image segmentation
- medical imaging
- multiscale
- unsupervised learning
- intrusion detection system
- computer networks
- region growing
- detect anomalies
- image registration