A graph-cut approach for pulmonary artery-vein segmentation in noncontrast CT images.
Daniel Jimenez-CarreteroDavid Bermejo-PeláezPietro NardelliPatricia FragaEduardo Fraile MorenoRaúl San José EstéparMaría J. Ledesma-CarbayoPublished in: Medical Image Anal. (2019)
Keyphrases
- ct images
- graph cuts
- lung parenchyma
- ct scans
- shape prior
- segmentation algorithm
- energy function
- medical images
- interactive segmentation
- image segmentation
- medical imaging
- object segmentation
- automatic segmentation
- computed tomography
- graph cut segmentation
- lymph nodes
- pet ct
- x ray
- markov random field
- energy minimization
- computer tomography
- fracture detection
- lung nodules
- foreground background segmentation
- lung cancer
- carotid artery
- deformable models
- labeling problems
- level set
- chronic obstructive pulmonary disease
- segmentation accuracy
- region of interest
- segmentation method
- accurate segmentation
- shape model
- ct data
- vessel segmentation
- segmentation result
- object boundaries
- ground glass opacity
- imaging modalities
- anatomical structures
- region growing
- computer vision
- robust segmentation
- cardiac ct
- pulmonary nodules
- active shape model
- active contour model
- medical diagnosis
- magnetic resonance imaging
- fully automated
- mr images
- active contours
- higher order
- high resolution
- image analysis