A Heavy Tailed Expectation Maximization Hidden Markov Random Field Model with Applications to Segmentation of MRI.
Diego Castillo-BarnesIgnacio PeisFrancisco Jesús Martínez-MurciaFermín SegoviaIgnacio A. IllánJuan Manuel GórrizJavier RamírezDiego Salas-GonzalezPublished in: Frontiers Neuroinformatics (2017)
Keyphrases
- markov random field model
- heavy tailed
- expectation maximization
- markov random field
- image segmentation
- em algorithm
- generalized gaussian
- sparse coding
- medical images
- random fields
- generative model
- magnetic resonance imaging
- high resolution
- mixture model
- maximum a posteriori
- mr images
- magnetic resonance images
- probabilistic model
- multiscale
- parameter estimation
- segmentation algorithm
- natural images
- energy function
- unsupervised learning
- graph cuts
- object recognition
- maximum likelihood
- pairwise
- least squares
- feature selection