AWSnet: An Auto-weighted Supervision Attention Network for Myocardial Scar and Edema Segmentation in Multi-sequence Cardiac Magnetic Resonance Images.
Kai-Ni WangXin YangJuzheng MiaoLei LiJing YaoPing ZhouWufeng XueGuang-Quan ZhouXiahai ZhuangDong NiPublished in: CoRR (2022)
Keyphrases
- magnetic resonance images
- myocardial motion
- brain mri
- medical images
- brain tumors
- cardiac mri
- mr images
- medical imaging
- intra subject
- mri images
- partial volume
- brain scans
- tissue segmentation
- multiple sclerosis lesions
- short axis
- brain structures
- magnetic resonance
- manual segmentation
- mr imaging
- accurate segmentation
- bias field
- magnetic resonance imaging
- white matter
- cardiac mr images
- brain tumor segmentation
- mri data
- cardiac motion
- left ventricular
- brain tissue
- gray matter
- myocardial infarction
- level set
- left ventricle
- tagged mri
- phase contrast
- diffusion tensor
- high resolution
- segmentation algorithm
- partial volume effects
- corpus callosum
- medical image analysis
- intensity distribution
- brain mr images
- anatomical structures
- image segmentation
- diffusion weighted
- image registration
- image analysis
- wall motion
- motion analysis
- x ray
- image processing