Renal cortex, medulla and pelvicaliceal system segmentation on arterial phase CT images with random patch-based networks.
Yucheng TangRiqiang GaoHo Hin LeeZhoubing XuBrent V. SavoieShunxing BaoYuankai HuoAgnes B. FogoRaymond HarrisMark P. de CaesteckerJeffrey M. SpragginsBennett A. LandmanPublished in: Medical Imaging: Image Processing (2021)
Keyphrases
- ct images
- medical images
- medical imaging
- liver segmentation
- pet ct
- fracture detection
- lung nodules
- computed tomography
- computer tomography
- medical data
- ct scans
- pet images
- lung parenchyma
- bone segmentation
- image segmentation
- anatomical knowledge
- fully automatic
- medical image segmentation
- treatment planning
- ground glass opacity
- ct imaging
- ct data
- level set
- carotid artery
- anatomical structures
- medical image processing
- magnetic resonance imaging
- image processing
- region of interest
- pulmonary nodules
- automated segmentation
- segmentation algorithm
- medical image analysis
- image analysis
- magnetic resonance images
- human brain
- deformable models
- x ray
- lung cancer
- positron emission tomography
- segmentation method
- image registration
- mr images
- magnetic resonance
- shape prior
- computer vision