Robust cancer treatment outcome prediction dealing with small-sized and imbalanced data from FDG-PET images

Keyphrases

• PET Image 100%
• Fluorodeoxyglucose Positron Emission Tomography (FDG-PET) 100%
• Clinical Outcome Prediction 100%
• Cancer Outcomes 100%
• Radiomics 100%
• Selected Features 100%
• Feature Extracting 100%
• Imbalanced Data 100%
• Small-sized 100%
• Cancer Therapy 50%
• Treatment Planning 50%
• Clinical Characteristics 50%
• Prediction Accuracy 50%
• Clinical Datasets 50%
• Imprecise Information 50%
• Dempster-Shafer Theory 50%
• Feature Selection Methods 50%
• Multi-source 50%
• Prediction System 50%
• Subset Selection 50%
• Informative Features 50%
• Feature Subset 50%
• Medical Domain 50%
• Data Rebalancing 50%
• Feature Subspace 50%

Computer Science

• Treatment Outcome 100%
• Extracted Feature 100%
• Imbalanced Data 100%
• Feature Selection 50%
• Good Performance 50%
• Dempster-Shafer Theory 50%
• Prediction Accuracy 50%
• Feature Subset Selection 50%
• Medical Domain 50%