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