One-Class SVM on siamese neural network latent space for Unsupervised Anomaly Detection on brain MRI White Matter Hyperintensities.
Nicolas PinonRobin TrombettaCarole LartizienPublished in: CoRR (2023)
Keyphrases
- brain mri
- white matter
- magnetic resonance images
- latent space
- neural network
- multiple sclerosis
- latent variables
- mr images
- diffusion tensor
- low dimensional
- medical images
- dimensionality reduction
- gaussian process
- parameter space
- corpus callosum
- anatomical structures
- magnetic resonance imaging
- brain tissue
- medical imaging
- diffusion tensor imaging
- generative model
- fiber bundles
- manifold learning
- partial volume
- feature space
- partial volume effects
- probabilistic latent semantic analysis
- human brain
- high dimensional
- high resolution
- pattern recognition
- feature selection
- gaussian mixture
- magnetic resonance
- region growing
- covariance matrix
- brain structures
- anomaly detection
- edge detection
- semi supervised