RSU-Net: U-net based on residual and self-attention mechanism in the segmentation of cardiac magnetic resonance images.
Yuan-Zhe LiYi WangYin-Hui HuangPing XiangWen-Xi LiuQing-Quan LaiYi-Yuan GaoMao-Sheng XuYi-Fan GuoPublished in: Comput. Methods Programs Biomed. (2023)
Keyphrases
- magnetic resonance images
- brain mri
- medical images
- cardiac mri
- brain scans
- brain tumors
- medical imaging
- partial volume
- mr images
- myocardial infarction
- tissue segmentation
- mr imaging
- brain structures
- intra subject
- bias field
- mri images
- multiple sclerosis lesions
- magnetic resonance imaging
- attention mechanism
- brain tumor segmentation
- image analysis
- brain tissue
- white matter
- myocardial motion
- manual segmentation
- mri data
- anatomical structures
- edge detection
- image segmentation
- image processing
- partial volume effects
- segmentation algorithm