Three-stage segmentation of lung region from CT images using deep neural networks.
Michael OsadebeyHilde K. AndersenDag WaalerKristian FossaaAnne Catrine Trægde MartinsenMarius PedersenPublished in: BMC Medical Imaging (2021)
Keyphrases
- ct images
- medical images
- neural network
- pet ct
- region of interest
- lung parenchyma
- computed tomography
- medical imaging
- liver segmentation
- lung nodules
- fracture detection
- ct scans
- ground glass opacity
- computer tomography
- pet images
- anatomical knowledge
- segmentation method
- image segmentation
- pattern recognition
- nodule detection
- level set
- pulmonary nodules
- imaging modalities
- treatment planning
- medical image segmentation
- automated segmentation
- lymph nodes
- ct data
- segmentation result
- segmentation algorithm
- fully automatic
- lung cancer
- medical image processing
- magnetic resonance images
- anatomical structures
- contrast enhanced
- positron emission tomography
- x ray
- computer vision
- three dimensional
- mr images
- lung disease
- region growing
- low dose
- multislice
- magnetic resonance imaging