Classification of multiple sclerosis lesion evolution patterns a study based on unsupervised clustering of asynchronous time-series.
Simon MureThomas GrenierCharles R. G. GuttmannFrançois CottonHugues Benoit-CattinPublished in: ISBI (2016)
Keyphrases
- unsupervised clustering
- multiple sclerosis
- supervised classification
- data mining
- image segmentation
- text classification
- clustering algorithm
- decision trees
- clustering method
- k means
- brain mri
- white matter
- pattern classification
- loss function
- model selection
- feature vectors
- data analysis
- support vector
- feature extraction
- feature selection
- machine learning