Improving airway segmentation in computed tomography using leak detection with convolutional networks.
Jean-Paul CharbonnierEva M. van RikxoortArnaud A. A. SetioCornelia Schaefer-ProkopBram van GinnekenFrancesco CiompiPublished in: Medical Image Anal. (2017)
Keyphrases
- computed tomography
- medical images
- medical imaging
- ct images
- leak detection
- liver segmentation
- ct scans
- ct data
- image reconstruction
- contrast enhanced
- three dimensional
- image segmentation
- lung nodules
- computed tomography scans
- image analysis
- x ray
- medical image segmentation
- computer tomography
- pet ct
- anatomical structures
- lymph nodes
- magnetic resonance imaging
- inter observer variability
- magnetic resonance images
- imaging modalities
- mr images
- neural network
- pet images
- segmentation algorithm
- ct imaging
- region of interest
- remote sensing
- fracture detection
- x ray images
- medical image processing
- treatment planning
- computer aided diagnosis
- segmentation method
- level set
- image processing
- magnetic resonance
- image registration
- image guided
- automatic segmentation
- region growing
- computer vision