Hybrid Encoded Attention Networks for Accurate Pulmonary Artery-Vein Segmentation in Noncontrast CT Images.
Min WuHao QiHui-Qing ZengXiangxing ChenXinhui SuSunkui KeYinran ChenXiongbiao LuoPublished in: PRCV (13) (2023)
Keyphrases
- ct images
- lung parenchyma
- ct scans
- medical images
- computed tomography
- medical imaging
- liver segmentation
- automated segmentation
- pet ct
- lung nodules
- computer tomography
- fracture detection
- lymph nodes
- carotid artery
- x ray
- anatomical knowledge
- completely automated
- pet images
- medical image processing
- medical image segmentation
- bone segmentation
- cardiac ct
- computer aided diagnosis
- region of interest
- ct data
- pulmonary nodules
- chronic obstructive pulmonary disease
- treatment planning
- lung cancer
- ground glass opacity
- segmentation algorithm
- rigid registration
- image segmentation
- magnetic resonance
- fully automatic
- segmentation method
- imaging modalities
- ultrasound images
- ct imaging
- deformable models
- region growing
- magnetic resonance images
- x ray images
- patient specific
- pulmonary embolism
- shape prior
- level set
- blood flow