基于改进自生成神经网络的肺部CT序列图像分割 (Segmentation of Lung CT Image Sequences Based on Improved Self-generating Neural Networks).
Xiaolei LiaoJuanjuan ZhaoPublished in: 计算机科学 (2017)
Keyphrases
- ct images
- computed tomography
- medical images
- lung parenchyma
- ct scans
- ground glass opacity
- ct data
- neural network
- medical imaging
- image sequences
- computer tomography
- ct volume
- image slices
- lung nodules
- three dimensional
- inter patient
- mri images
- automatic segmentation
- lung disease
- accurate segmentation
- mri brain
- segmentation algorithm
- lymph nodes
- thoracic ct images
- x ray
- lung cancer
- automated segmentation
- pulmonary nodules
- treatment planning
- pet ct
- low dose
- pulmonary embolism
- image segmentation
- contrast enhanced
- white blood
- image reconstruction
- brain mri
- image analysis
- imaging modalities
- image volumes
- magnetic resonance images
- magnetic resonance imaging
- ct and mr images
- magnetic resonance
- segmentation method
- mr images
- cardiac magnetic resonance
- motion segmentation
- motion analysis
- background subtraction
- intraoperative
- computed tomography images
- x ray images
- multislice
- deformable registration