Interpretable Deep Learning for the Remote Characterisation of Ambulation in Multiple Sclerosis using Smartphones.
Andrew P. CreaghFlorian LipsmeierMichael LindemannMaarten De VosPublished in: CoRR (2021)
Keyphrases
- deep learning
- multiple sclerosis
- brain mri
- white matter
- magnetic resonance images
- unsupervised learning
- clinical trials
- mr images
- lesion segmentation
- magnetic resonance
- machine learning
- medical images
- weakly supervised
- region growing
- corpus callosum
- mental models
- decision making
- human brain
- decision support system
- brain tissue
- semi supervised
- image data
- learning process
- pattern recognition
- multiscale