Random Walk and Graph Cut for Co-Segmentation of Lung Tumor on PET-CT Images.
Wei JuDeihui XiangBin ZhangLirong WangIvica KoprivaXinjian ChenPublished in: IEEE Trans. Image Process. (2015)
Keyphrases
- random walk
- ct images
- graph cuts
- pet ct
- random walker
- treatment planning
- pet images
- shape prior
- computed tomography
- segmentation algorithm
- medical images
- energy function
- medical imaging
- image segmentation
- object segmentation
- ct scans
- markov random field
- energy minimization
- lung parenchyma
- lymph nodes
- positron emission tomography
- markov chain
- lung cancer
- fracture detection
- multi label
- lung nodules
- contrast enhanced
- breast cancer
- magnetic resonance imaging
- radiation therapy
- automated segmentation
- region of interest
- ct data
- ground glass opacity
- cancer diagnosis
- region growing
- min cut
- magnetic resonance
- image processing
- segmentation accuracy
- accurate segmentation
- segmentation method
- level set
- imaging modalities
- deformable models
- shape model
- superpixels
- pulmonary embolism
- pairwise
- pulmonary nodules
- medical image processing
- anatomical structures
- level set method
- image reconstruction
- image guided