Mitral Annulus Segmentation Using Deep Learning in 3-D Transesophageal Echocardiography.
Børge Solli AndreassenFederico VeronesiOlivier GérardAnne H. Schistad SolbergEigil SamsetPublished in: IEEE J. Biomed. Health Informatics (2020)
Keyphrases
- mitral valve
- deep learning
- automatically segmented
- subject specific
- beating heart
- image segmentation
- unsupervised learning
- machine learning
- segmentation algorithm
- patient specific
- medical images
- level set
- segmentation method
- unsupervised feature learning
- cardiac cycle
- shape prior
- weakly supervised
- minimally invasive
- multiscale
- motion compensation
- energy function
- object recognition
- object segmentation
- automatic segmentation
- superpixels
- generative model
- semi supervised
- motion estimation
- data mining