Self-supervised anomaly detection, staging and segmentation for retinal images.
Yiyue LiQicheng LaoQingbo KangZekun JiangShiyi DuShaoting ZhangKang LiPublished in: Medical Image Anal. (2023)
Keyphrases
- anomaly detection
- retinal images
- vessel segmentation
- optic disk
- optic disc
- vessel detection
- retinal blood vessels
- intrusion detection
- blood vessels
- anomalous behavior
- network intrusion detection
- detecting anomalies
- network traffic
- optical coherence tomography
- fundus images
- network anomaly detection
- intrusion detection system
- detecting anomalous
- image segmentation
- detect anomalies
- diabetic retinopathy
- region growing
- one class support vector machines
- low contrast
- matched filters
- medical images
- negative selection algorithm
- segmentation algorithm
- unsupervised learning
- change detection
- multiscale
- retinal fundus images
- segmentation method
- machine learning
- region of interest
- video sequences