GraphMorph: Equilibrium adjustment regularized dual-stream GCN for 4D-CT lung imaging with sliding motion

Keyphrases

• Graph Convolutional Network 100%
• Streaming Graphs 100%
• Dual-stream 100%
• Four-dimensional Computed Tomography 100%
• Lung Imaging 100%
• Sliding Motion 100%
• Discontinuous Deformation 50%
• Regularization Method 25%
• Large Deformation 25%
• Transformer 25%
• Graph Structure 25%
• Topological Information 25%
• Motion Tracking 25%
• Source Code 25%
• Registration Accuracy 25%
• Contextual Information 25%
• Intensity Inhomogeneity 25%
• Target Registration Error 25%
• Radiation Therapy 25%
• Global Dependencies 25%
• Out-of-distribution Data 25%
• Graph Attention Network 25%
• Respiratory Phase 25%
• Image-guided Intervention 25%
• Local Deformation 25%
• Continuous and Discontinuous 25%
• Deformable Image Registration 25%
• Thoracic Tumor 25%
• Sliding Organs 25%
• Abdominal Tumor 25%
• Registration Algorithm 25%
• Contextual Aggregation 25%
• Lung Registration 25%
• Content Correlation 25%
• Sliding Interface 25%
• Regional Relationships 25%
• Local Intensity 25%
• Continuous Deformation 25%
• Lesion Localization 25%

Computer Science

• Graph Convolutional Network 100%
• Computer Assisted Tomography 100%
• Sliding Motion 100%
• Discretization 25%
• Data Distribution 25%
• Registration Error 25%
• Contextual Information 25%
• Regularization Method 25%
• Respiratory Phase 25%
• Intensity Inhomogeneity 25%
• Deformable Registration 25%

Engineering

• Graph Convolutional Network 100%
• Sliding Motion 100%
• Large Deformation 25%
• Discretization 25%
• Regularization Method 25%
• Biomechanics 25%
• Intensity Inhomogeneity 25%
• Radiotherapy 25%
• Scale Cross 25%
• Registration Accuracy 25%
• Sliding Interface 25%