Automated Ventricular System Segmentation in CT Images of Deformed Brains Due to Ischemic and Subarachnoid Hemorrhagic Stroke.
Edward FerdianAnna M. M. BoersLudo F. M. BeenenB. M. CornelissenIvo G. H. JansenK. M. TreurnietJordi BorstCharles B. L. M. MajoieHenk A. MarqueringPublished in: CMMI/RAMBO/SWITCH@MICCAI (2017)
Keyphrases
- ct images
- medical images
- medical imaging
- liver segmentation
- fracture detection
- pet ct
- lung nodules
- computer tomography
- computed tomography
- ct scans
- anatomical knowledge
- automated segmentation
- brain images
- lung parenchyma
- left ventricle
- pet images
- bone segmentation
- fully automatic
- medical image processing
- traumatic pelvic
- image segmentation
- segmentation algorithm
- ground glass opacity
- medical image segmentation
- magnetic resonance imaging
- fully automated
- treatment planning
- lymph nodes
- region of interest
- segmentation method
- mr images
- computer vision
- ct imaging
- imaging modalities
- x ray images
- magnetic resonance
- mri data
- pulmonary nodules
- positron emission tomography
- human brain
- x ray
- medical image analysis
- image processing
- magnetic resonance images
- semi automatic
- remote sensing
- lung cancer
- image registration
- image analysis
- anatomical structures
- heart disease