Deep Learning of Brain Lesion Patterns for Predicting Future Disease Activity in Patients with Early Symptoms of Multiple Sclerosis.
Youngjin YooLisa Y. W. TangTom BroschDavid K. B. LiLuanne MetzAnthony TraboulseeRoger C. TamPublished in: LABELS/DLMIA@MICCAI (2016)
Keyphrases
- multiple sclerosis
- deep learning
- predicting future
- lesion segmentation
- magnetic resonance images
- white matter
- brain mri
- clinical trials
- brain tissue
- mr images
- magnetic resonance
- unsupervised learning
- disease progression
- machine learning
- brain images
- mental models
- weakly supervised
- corpus callosum
- brain activity
- region growing
- high resolution