Enhanced lung segmentation in chest CT images based on kernel graph cuts.
Xinyan LiShouting FengDaru PanPublished in: ICIMCS (2016)
Keyphrases
- ct images
- graph cuts
- computed tomography
- medical images
- lung nodules
- shape prior
- segmentation algorithm
- energy function
- medical imaging
- image segmentation
- object segmentation
- pet ct
- pulmonary nodules
- ct scans
- lung parenchyma
- energy minimization
- markov random field
- automatic segmentation
- lymph nodes
- ct data
- fracture detection
- computer tomography
- mean shift
- x ray
- ground glass opacity
- region of interest
- lung cancer
- anatomical structures
- deformable models
- medical image segmentation
- low dose
- pet images
- segmentation method
- segmentation accuracy
- object boundaries
- contrast enhanced
- region growing
- treatment planning
- computer aided diagnosis
- image analysis
- magnetic resonance imaging
- imaging modalities
- image processing
- accurate segmentation
- level set
- computer aided
- shape model
- shape variations
- active shape model
- mr images
- manual segmentation
- curve evolution
- superpixels
- active contours
- x ray images