Cardiac Chamber Segmentation Using Deep Learning on Magnetic Resonance Images from Patients Before and After Atrial Septal Occlusion Surgery.
Yu LuXianghua FuXiaoqing LiYingjian QiPublished in: EMBC (2020)
Keyphrases
- magnetic resonance images
- deep learning
- myocardial infarction
- brain mri
- cardiac mri
- medical images
- partial volume
- brain scans
- multiple sclerosis
- medical imaging
- brain tumors
- tissue segmentation
- mr images
- mr imaging
- physiological parameters
- magnetic resonance imaging
- brain structures
- myocardial motion
- unsupervised learning
- white matter
- beating heart
- image guided
- heart disease
- machine learning
- brain tissue
- mri data
- level set
- image segmentation
- diffusion tensor
- imaging modalities
- segmentation algorithm
- high resolution
- image analysis
- x ray
- accurate segmentation
- weakly supervised
- mental models
- intraoperative
- shape prior
- brain atlas
- minimally invasive
- fully automatic
- segmentation method
- image registration
- computer vision