Enhancing Anomaly Detection in Melanoma Diagnosis Through Self-Supervised Training and Lesion Comparison.
Jules CollenneRabah IguernaissiSéverine DubuissonDjamal MeradPublished in: MLMI@MICCAI (2) (2023)
Keyphrases
- anomaly detection
- skin lesion
- pigmented skin lesions
- intrusion detection
- anomalous behavior
- network intrusion detection
- skin cancer
- detecting anomalies
- network traffic
- computer security
- intrusion detection system
- behavior analysis
- network anomaly detection
- one class support vector machines
- unsupervised anomaly detection
- negative selection algorithm
- early detection
- network security
- computer aided
- malignant melanoma
- dermoscopy images
- early diagnosis
- network intrusion
- unsupervised learning
- sparse pca
- knowledge discovery
- computer vision