An effective approach for CT lung segmentation using mask region-based convolutional neural networks.
Qinhua HuLuís Fabrício de F. SouzaGabriel Bandeira HolandaShara S. A. AlvesFrancisco Hércules dos S. SilvaTao HanPedro Pedrosa Rebouças FilhoPublished in: Artif. Intell. Medicine (2020)
Keyphrases
- convolutional neural networks
- ct images
- medical images
- computed tomography
- image segmentation
- lung parenchyma
- medical imaging
- ground glass opacity
- ct scans
- ct data
- computer tomography
- pet ct
- image slices
- ct volume
- computed tomography images
- lymph nodes
- accurate segmentation
- lung nodules
- mri images
- region matching
- multiscale
- image analysis
- segmentation algorithm
- pulmonary nodules
- segmentation method
- lung cancer
- level set
- x ray images
- contrast enhanced
- ct and mr images
- convolutional network
- lung disease
- region growing
- inter patient
- energy function
- automatic segmentation
- bounding box
- region merging
- x ray
- low dose
- magnetic resonance images
- clinical applications