A chance-constrained programming level set method for longitudinal segmentation of lung tumors in CT.
Youssef RouchdyIsabelle BlochPublished in: EMBC (2011)
Keyphrases
- level set method
- level set
- lymph nodes
- image segmentation
- segmentation result
- ct images
- level set evolution
- medical images
- ct data
- computed tomography
- active contours
- lung cancer
- deformable models
- accurate segmentation
- geodesic active contours
- medical imaging
- energy functional
- piecewise constant
- topology preserving
- mumford shah
- ct scans
- shape prior
- automatic segmentation
- chance constrained programming
- narrow band
- curve evolution
- pet ct
- lung parenchyma
- image analysis
- partial differential equations
- ground glass opacity
- lung nodules
- x ray
- multiple objective linear programming
- lung cancer patients
- segmentation algorithm
- brain tumors
- energy function
- mumford shah functional
- multiscale
- lung disease
- pulmonary nodules
- parametric active contours
- region growing
- active contour model
- image processing
- chance constrained
- signed distance function
- statistical shape model
- computer vision
- pulmonary embolism
- waste management
- denoising
- multistage
- mr images
- prior information
- intraoperative