Deep learning-based grading of white matter hyperintensities enables identification of potential markers in multi-sequence MRI data.
Si MuWeizhao LuGuanghui YuLei ZhengJianfeng QiuPublished in: Comput. Methods Programs Biomed. (2024)
Keyphrases
- mri data
- white matter
- deep learning
- magnetic resonance images
- human brain
- dt mri
- diffusion tensor
- unsupervised learning
- fully automatic
- brain tissue
- magnetic resonance imaging
- mri scans
- gray matter
- diffusion tensor imaging
- brain images
- fiber tracts
- corpus callosum
- machine learning
- synthetic data
- mr images
- diffusion tensor images
- mri images
- tensor field
- medical images
- brain white matter
- partial volume
- information processing
- image analysis
- image segmentation