Unsupervised classification of multi-contrast magnetic resonance histology of peripheral arterial disease lesions using a convolutional variational autoencoder with a Gaussian mixture model in latent space: A technical feasibility study.
Judit CsoreTrisha L. RoyGraham WrightChristof KarmonikPublished in: Comput. Medical Imaging Graph. (2024)
Keyphrases
- gaussian mixture model
- magnetic resonance
- multiple sclerosis
- unsupervised classification
- mr images
- medical images
- mixture model
- gaussian mixture
- image data
- latent space
- image analysis
- image registration
- decision trees
- dimensionality reduction
- white matter
- low dimensional
- computer vision
- active learning
- learning process
- feature vectors
- feature space
- pattern recognition
- clustering algorithm