Comparison of Deep Learning and Support Vector Machine Learning for Subgroups of Multiple Sclerosis.
Yeliz KaracaCarlo CattaniMajaz MoonisPublished in: ICCSA (2) (2017)
Keyphrases
- deep learning
- machine learning
- multiple sclerosis
- support vector
- unsupervised learning
- support vector machine
- magnetic resonance images
- active learning
- brain mri
- data mining
- weakly supervised
- mental models
- lesion segmentation
- clinical trials
- mr images
- text classification
- pattern recognition
- feature selection
- magnetic resonance
- co occurrence
- segmentation method
- decision support system
- white matter
- principal component analysis
- supervised learning
- image data
- data analysis
- decision trees