Magnetic Resonance Image Selection for Multi-Atlas Segmentation Using Mixture Models.
Mauricio Orbes-ArteagaDavid Cárdenas-PeñaMauricio A. ÁlvarezÁlvaro Á. OrozcoGermán Castellanos-DomínguezPublished in: CIARP (2015)
Keyphrases
- mixture model
- magnetic resonance images
- gaussian mixture model
- multi atlas segmentation
- generative model
- em algorithm
- density estimation
- probabilistic model
- model selection
- unsupervised learning
- expectation maximization
- medical images
- maximum likelihood
- mr images
- label fusion
- medical imaging
- language model
- magnetic resonance imaging
- active learning
- white matter
- medical image analysis
- high resolution