Automatic airway segmentation from Computed Tomography using robust and efficient 3-D convolutional neural networks.
Antonio Garcia-Uceda JuarezRaghavendra SelvanZaigham SaghirHarm A. W. M. TiddensMarleen de BruijnePublished in: CoRR (2021)
Keyphrases
- computed tomography
- medical images
- ct images
- medical imaging
- ct data
- image reconstruction
- ct scans
- liver segmentation
- convolutional neural networks
- three dimensional
- computer tomography
- contrast enhanced
- image segmentation
- lung nodules
- fully automatic
- computed tomography scans
- pet ct
- image registration
- lymph nodes
- image analysis
- magnetic resonance
- magnetic resonance images
- region of interest
- pattern recognition
- mr images
- image processing
- pet images
- x ray
- medical image processing
- medical image segmentation
- anatomical structures
- segmentation method
- imaging modalities
- lung cancer
- computer aided diagnosis
- multiscale
- fracture detection
- segmentation algorithm
- volume rendering
- ct imaging
- inter observer variability
- computer aided