Tumor delineation in FDG-PET images using a new evidential clustering algorithm with spatial regularization and adaptive distance metric

Keyphrases

• PET Image 100%
• Fluorodeoxyglucose Positron Emission Tomography (FDG-PET) 100%
• Tumor Delineation 100%
• Clustering Algorithm 100%
• Adaptive Distance Measure 100%
• Evidential Clustering 100%
• Spatial Regularization 100%
• Spatial Adaptive 100%
• In(III) 50%
• Image Quality 50%
• Imaging Systems 50%
• Patient Photographs 50%
• Distance Metric 50%
• Local Homogeneity 50%
• Imprecise Information 50%
• Feature Extracting 50%
• Real Patients 50%
• Challenging Work 50%
• Automated Segmentation Methods 50%
• Belief Function Theory 50%
• Neighborhood Similarity 50%

Engineering

• Metrics 100%
• Regularization 100%
• Clustering Algorithm 100%
• Similarities 50%
• Patient Image 50%
• Imaging Systems 50%
• Powerful Tool 50%
• Extracted Feature 50%
• Good Performance 50%
• Based Segmentation Method 50%

Computer Science

• Clustering Algorithm 100%
• Regularization 100%
• Distance Metric 100%
• Segmentation Method 50%
• Image Quality 50%
• Imaging Systems 50%
• Good Performance 50%
• Extracted Feature 50%
• Automatic Segmentation 50%
• Belief Function 50%