Encoding Structure-Texture Relation with P-Net for Anomaly Detection in Retinal Images.
Kang ZhouYuting XiaoJianlong YangJun ChengWen LiuWeixin LuoZaiwang GuJiang LiuShenghua GaoPublished in: CoRR (2020)
Keyphrases
- anomaly detection
- retinal images
- intrusion detection
- anomalous behavior
- network intrusion detection
- intrusion detection system
- unsupervised anomaly detection
- detecting anomalies
- vessel segmentation
- network traffic
- optic disc
- one class support vector machines
- unsupervised learning
- blood vessels
- network anomaly detection
- detect anomalies
- data mining
- vessel detection
- image structure
- feature vectors
- network intrusion
- learning algorithm
- diabetic retinopathy
- optic disk
- active learning
- negative selection algorithm
- support vector machine