A shape-guided deep residual network for automated CT lung segmentation.
Lei YangYuge GuBenyan HuoYanhong LiuGui-Bin BianPublished in: Knowl. Based Syst. (2022)
Keyphrases
- ct images
- ct scans
- medical images
- automated segmentation
- computed tomography
- medical imaging
- lung parenchyma
- ground glass opacity
- shape prior
- ct data
- prostate segmentation
- statistical shape model
- computed tomography images
- x ray
- shape model
- level set
- multiscale
- segmentation algorithm
- image segmentation
- pet ct
- lung disease
- computer tomography
- accurate segmentation
- energy function
- fully automatic
- shape descriptors
- prior information
- energy functional
- shape analysis
- mri images
- region growing
- segmentation method
- lung cancer
- lymph nodes
- image analysis
- ct volume
- fully automated
- image slices
- object segmentation
- treatment planning
- lung nodules
- deformable registration
- image reconstruction
- image guided