A Hybrid Model for Liver Shape Segmentation with Customized Fast Marching and Improved GMM-EM.
Weizhuo HuangYinwei ZhanRongqian YangPublished in: ICIG (2) (2019)
Keyphrases
- hybrid model
- gaussian mixture model
- shape prior
- variational framework
- region growing
- image segmentation
- expectation maximization
- maximum likelihood criterion
- level set
- liver segmentation
- mixture model
- segmentation method
- em algorithm
- ct images
- shape model
- artificial neural networks
- segmentation algorithm
- hybrid models
- object segmentation
- gaussian mixture
- seed points
- energy functional
- background subtraction
- back propagation neural network
- perceptual grouping
- shape analysis
- support vector machine svm
- medical images
- shape representation
- multiscale
- deformable models
- support vector regression
- statistical shape model
- shape variations
- arima model
- minimal path
- tubular structures
- feature vectors
- probabilistic model
- graph cuts
- medical imaging
- shape descriptors
- knn
- data points
- neural network
- generative model
- forecasting accuracy
- energy function
- machine learning