Effective extraction of ventricles and myocardium objects from cardiac magnetic resonance images with a multi-task learning U-Net.
Jinchang RenHe SunHuimin ZhaoHao GaoCalum MacLellanSophia ZhaoXiaoyu LuoPublished in: Pattern Recognit. Lett. (2022)
Keyphrases
- magnetic resonance images
- multi task learning
- manual segmentation
- myocardial motion
- magnetic resonance imaging
- mr images
- multi task
- medical images
- myocardial infarction
- partial volume effects
- mri data
- short axis
- cardiac mri
- white matter
- left ventricle
- left ventricular
- brain tissue
- automatic segmentation
- partial volume
- gaussian processes
- high resolution
- medical imaging
- mri images
- brain images
- learning problems
- three dimensional
- transfer learning
- anatomical structures
- machine learning
- learning tasks
- segmentation algorithm
- image data
- training data
- image segmentation