Uncertainty quantification in brain tumor segmentation using CRFs and random perturbation models.
Esther AlbertsMarkus RempflerGeorgina AlberThomas HuberJan KirschkeClaus ZimmerBjoern H. MenzePublished in: ISBI (2016)
Keyphrases
- pattern recognition
- hidden markov models
- model selection
- parameter estimation
- prior knowledge
- probabilistic model
- image data
- structured prediction
- conditional random fields
- brain tumor segmentation
- learning algorithm
- magnetic resonance images
- random fields
- statistical models
- experimental data
- generative model
- information extraction