Improving myocardial pathology segmentation with U-Net++ and EfficientSeg from multi-sequence cardiac magnetic resonance images.
Hengfei CuiYan LiLei JiangYifan WangYong XiaYanning ZhangPublished in: Comput. Biol. Medicine (2022)
Keyphrases
- magnetic resonance images
- myocardial motion
- brain mri
- medical images
- partial volume
- mr images
- brain scans
- cardiac mri
- brain tumors
- mri images
- intra subject
- tissue segmentation
- multiple sclerosis lesions
- medical imaging
- short axis
- mri data
- brain structures
- bias field
- cardiac mr images
- magnetic resonance imaging
- magnetic resonance
- accurate segmentation
- left ventricular
- manual segmentation
- mr imaging
- myocardial infarction
- tagged mri
- white matter
- intensity distribution
- brain tissue
- high resolution
- brain mr images
- brain tumor segmentation
- gray matter
- cardiac motion
- segmentation algorithm
- partial volume effects
- diffusion tensor
- corpus callosum
- image segmentation
- medical image analysis
- left ventricle
- region growing
- diffusion weighted
- heart motion
- image processing
- phase contrast
- coronary artery
- imaging modalities
- segmentation result
- anatomical structures
- pattern recognition
- graph cuts
- motion analysis