ASC-Net: Unsupervised Medical Anomaly Segmentation Using an Adversarial-based Selective Cutting Network.
Raunak DeyWenbo SunHaibo XuYi HongPublished in: CoRR (2021)
Keyphrases
- network traffic
- medical imaging
- segmentation algorithm
- fully unsupervised
- medical images
- image segmentation
- fully automatic
- image analysis
- anomaly detection
- segmentation of natural images
- bayesian image segmentation
- intrusion detection
- level set
- supervised learning
- unsupervised learning
- computer networks
- abnormal events
- text segmentation
- unsupervised clustering
- segmentation accuracy
- network model
- region growing
- multiscale
- network structure
- wireless sensor networks
- peer to peer
- multi agent
- information systems
- energy function
- computer vision
- data mining