Combining Deep Learning and Shape Priors for Bi-Ventricular Segmentation of Volumetric Cardiac Magnetic Resonance Images.
Jinming DuanJo SchlemperWenjia BaiTimothy J. W. DawesGhalib BelloCarlo BiffiGeorgia DoumouAntonio M. Simoes Monteiro de MarvaoDeclan P. O'ReganDaniel RueckertPublished in: ShapeMI@MICCAI (2018)
Keyphrases
- shape prior
- magnetic resonance images
- deep learning
- myocardial infarction
- medical images
- deformable models
- level set
- graph cuts
- object segmentation
- active contours
- image segmentation
- segmentation algorithm
- shape model
- level set based segmentation
- mr images
- segmentation method
- unsupervised learning
- medical imaging
- mri data
- shape variations
- energy function
- high resolution
- medical image analysis
- magnetic resonance imaging
- machine learning
- brain tissue
- white matter
- global optimization
- brain structures
- shape representation
- left ventricle
- user interaction
- three dimensional
- prior knowledge
- intensity information
- statistical models
- magnetic resonance
- energy functional
- image intensity
- automatic segmentation
- intensity distribution
- bayesian framework
- weakly supervised
- fully automatic
- image registration
- image processing