A Densely Connected Attention Spatiotemporal U-Net for Kidney and Renal Artery Segmentation in CT Images.
Bei LiGuanping XuDongfang ShenSong ZhengJianhui ChenYinran ChenXiongbiao LuoPublished in: ISBI (2023)
Keyphrases
- ct images
- medical images
- medical imaging
- lung nodules
- liver segmentation
- pet ct
- fracture detection
- computed tomography
- computer tomography
- ct scans
- anatomical knowledge
- pet images
- x ray
- bone segmentation
- lymph nodes
- vessel segmentation
- ground glass opacity
- lung parenchyma
- level set
- x ray images
- image segmentation
- segmentation algorithm
- region of interest
- automated segmentation
- region growing
- anatomical structures
- medical data
- deformable models
- treatment planning
- magnetic resonance images
- computer vision
- carotid artery
- medical image processing
- shape prior
- magnetic resonance
- pulmonary nodules
- ct data
- imaging modalities
- contrast enhanced
- lung disease
- computer aided diagnosis
- traumatic brain injury
- automatic segmentation
- medical image segmentation
- image processing
- image registration
- active contours
- densely connected
- segmentation method
- mr images