Segmentation of 3D Transesophageal Echocardiograms by Multi-cavity Active Shape Model and Gamma Mixture Model.
Alexander HaakGonzalo Vegas-Sánchez-FerreroHarriët H. MulderHortense A. KirisliNora BakaCoert MetzStefan KleinBen RenGerard van BurkenAnton F. W. van der SteenJosien P. W. PluimTheo van WalsumJohan G. BoschPublished in: AE-CAI (2013)
Keyphrases
- mixture model
- active shape model
- segmentation algorithm
- shape prior
- em algorithm
- gaussian mixture model
- probabilistic model
- image segmentation
- shape model
- generative model
- expectation maximization
- level set
- maximum likelihood
- segmentation method
- graph cuts
- model selection
- object boundaries
- unsupervised learning
- deformable models
- active contours
- language model
- coarse to fine
- facial features
- multiscale
- energy function
- medical images
- appearance model
- prior information
- input image
- machine learning
- random forest
- active appearance models
- data sets