Prostate Cancer Segmentation With Simultaneous Estimation of Markov Random Field Parameters and Class.
Xin LiuDeanna L. LangerMasoom A. HaiderYongyi YangMiles N. WernickImam Samil YetikPublished in: IEEE Trans. Medical Imaging (2009)
Keyphrases
- markov random field
- label field
- prostate cancer
- parameter estimation
- mrf models
- mrf model
- potential functions
- image segmentation
- maximum a posteriori
- energy function
- maximum a posteriori probability
- bayesian estimation
- graph cuts
- map estimation
- textured images
- random fields
- prior model
- conditional random fields
- pairwise
- markov random field model
- image restoration
- energy minimization
- shape prior
- higher order
- long range
- mr images
- gibbs energy
- medical image analysis
- computer aided
- segmentation method
- segmentation algorithm
- maximum likelihood
- image intensity
- dce mri
- labeling problems
- object segmentation
- level set
- medical images
- prostate segmentation
- image analysis
- multiscale