Leveraging the Mahalanobis Distance to enhance Unsupervised Brain MRI Anomaly Detection.
Finn BehrendtDebayan BhattacharyaRobin MielingLennart MaackJulia KrügerRoland OpferAlexander SchlaeferPublished in: CoRR (2024)
Keyphrases
- anomaly detection
- mahalanobis distance
- brain mri
- unsupervised anomaly detection
- unsupervised learning
- intrusion detection
- noise model
- anatomical structures
- euclidean distance
- magnetic resonance images
- covariance matrix
- anomalous behavior
- region growing
- detecting anomalies
- intrusion detection system
- metric learning
- semi supervised
- one class support vector machines
- distance metric
- neural network
- medical images
- medical imaging
- high dimensional
- multiscale
- similarity measure
- computer vision