A Deformable Constraint Transport Network for Optimal Aortic Segmentation From CT Images.
Weiyuan LinZhifan GaoHui LiuHeye ZhangPublished in: IEEE Trans. Medical Imaging (2024)
Keyphrases
- ct images
- ct volume
- medical images
- medical imaging
- lung nodules
- liver segmentation
- computed tomography
- fracture detection
- pet ct
- deformable models
- computer tomography
- ct scans
- transport network
- anatomical knowledge
- pet images
- ct data
- lung parenchyma
- image segmentation
- level set
- lymph nodes
- ground glass opacity
- bone segmentation
- medical image processing
- fully automatic
- treatment planning
- segmentation algorithm
- magnetic resonance images
- automated segmentation
- x ray
- optimal solution
- medical image segmentation
- pulmonary nodules
- image analysis
- magnetic resonance
- mr images
- anatomical structures
- region of interest
- shape prior
- patient specific
- magnetic resonance imaging
- accurate segmentation
- region growing
- three dimensional
- imaging modalities