Graph-Based Segmentation and Markov Random Field for Covid-19 Infection in Lung CT Volumes.
Giulia IaconiFederica FerraroMarco BallettoDavid SolarnaMarco TrombiniGabriele MoserSilvana G. DellepianePublished in: SYSINT (2022)
Keyphrases
- markov random field
- mrf model
- image segmentation
- energy function
- ct images
- medical images
- iterated conditional modes
- computed tomography
- graph cuts
- lung parenchyma
- label field
- textured images
- mrf models
- prior model
- ground glass opacity
- markov random field model
- medical imaging
- maximum a posteriori
- ct scans
- higher order
- random fields
- belief propagation
- pairwise
- three dimensional
- shape prior
- image volumes
- energy minimization
- parameter estimation
- image restoration
- ct data
- segmentation algorithm
- conditional random fields
- image analysis
- object segmentation
- labeling problems
- spatial continuity
- lung disease
- segmentation method
- gibbs energy
- level set
- region growing
- map estimation
- discriminative random fields
- smoothness prior
- multiscale
- mrf optimization
- x ray
- lung cancer
- motion segmentation
- pulmonary nodules
- lung nodules
- simulated annealing
- probabilistic model
- texture segmentation
- image reconstruction
- bayesian framework