Pseudo-CT generation by conditional inference random forest for MRI-based radiotherapy treatment planning

Keyphrases

• Training Set 100%
• Random Forest 100%
• Conditional Inference 100%
• Dose Calculation 100%
• Radiotherapy Planning 100%
• SCT Generation 100%
• MRI-based Radiotherapy 100%
• CT-MRI 66%
• Texture Features 33%
• Spatial Data 33%
• Test Validity 33%
• Ionizing Radiation Effects 33%
• Machine Learning Techniques 33%
• Information Features 33%
• Planning System 33%
• Gradient Feature 33%
• Image Descriptors 33%
• Leave-one-out 33%
• Treatment System 33%
• Learning Scheme 33%
• Information Gradient 33%
• Linear Accelerator (LINAC) 33%
• CT Images 33%
• Spatial Gradient 33%
• Common Space 33%
• 3D gamma 33%
• Dose-volume Histogram 33%
• Electron Density 33%
• Gamma Passing Rate 33%
• Information Density 33%
• Organs at Risk 33%
• Voxel-wise 33%
• Spatial Texture 33%
• Gaussian Pyramid 33%
• Multi-scale Image 33%
• Prostate MR Image 33%
• Affine Registration 33%
• Soft-tissue Contrast 33%
• MRI Training 33%

Computer Science

• Random Decision Forest 100%
• Reference Image 100%
• Machine Learning 50%
• Learning System 50%
• Texture Feature 50%
• Spatial Information 50%
• Systems Planning 50%
• Learning Scheme 50%
• Carrier Concentration 50%
• Linear Accelerator 50%

Earth and Planetary Sciences

• Machine Learning 100%
• Histogram 100%
• Electron Density 100%