MI-UNet: Multi-Inputs UNet Incorporating Brain Parcellation for Stroke Lesion Segmentation From T1-Weighted Magnetic Resonance Images.
Yue ZhangJiong WuYilong LiuYifan ChenEd X. WuXiaoying TangPublished in: IEEE J. Biomed. Health Informatics (2021)
Keyphrases
- magnetic resonance images
- lesion segmentation
- multiple sclerosis
- white matter
- brain tissue
- tissue segmentation
- brain tumors
- mr images
- brain images
- diffusion weighted
- medical images
- gray matter
- brain mri
- brain structures
- magnetic resonance imaging
- corpus callosum
- medical imaging
- mri data
- diffusion tensor
- cortical thickness
- mutual information
- manual segmentation
- medical image analysis
- diffusion mri
- diffusion tensor images
- high resolution
- inter subject
- fiber bundles
- cerebral cortex
- human brain
- brain mr images
- partial volume
- magnetic resonance
- diffusion tensor imaging
- image intensity
- spatial normalization
- information processing
- high quality