Spatial evidential clustering with adaptive distance metric for tumor segmentation in FDG-PET images

Keyphrases

• Positron Emission Tomography 100%
• Tomography Image 100%
• Clustering Algorithm 100%
• FDG Positron Emission Tomography 100%
• Adaptive Distance Measure 100%
• Evidential Clustering 100%
• Tumor Segmentation 100%
• Dempster-Shafer Theory 66%
• Tumor Volume 33%
• Clinical Oncology 33%
• Imaging Systems 33%
• Textural Features 33%
• Feature Selection 33%
• Adaptation Procedure 33%
• Distance Metric 33%
• Local Homogeneity 33%
• Metric Adaptation 33%
• Intensity Value 33%
• Imprecise Information 33%
• Feature Extracting 33%
• Real Patients 33%
• Dempster-Shafer 33%
• Spatial Regularization 33%
• Segmentation Problem 33%
• Integrated Metrics 33%
• Challenging Work 33%

Computer Science

• Clustering Algorithm 100%
• Distance Metric 100%
• Tumor Segmentation 100%
• Extracted Feature 66%
• Dempster-Shafer Theory 66%
• Imaging Systems 33%
• Feature Selection 33%
• Regularization 33%
• Segmentation Task 33%
• Good Performance 33%
• dempste-shaf 33%
• Neighboring Voxels 33%
• Intensity Value 33%
• Feature Extraction 33%

Engineering

• Metrics 100%
• Clustering Algorithm 100%
• Extracted Feature 66%
• Similarities 33%
• Imaging Systems 33%
• Powerful Tool 33%
• Regularization 33%
• Good Performance 33%
• Intensity Value 33%
• Feature Extraction 33%