TH‐D‐213A‐04: Application of Supervised Spectral Clustering for PET Tumor Delineation: A Phantom Study

Keyphrases

• Anisotropic Filtering 14%
• Area Detection 14%
• Clustering Methods 28%
• CT Scanner 14%
• Cylindrical Container 14%
• Detection Area 14%
• Detection Error 14%
• Eigenvalues 14%
• Eigenvector 14%
• Filtered Images 14%
• Gaussian Smoothing Filter 14%
• Human Intervention 14%
• Image Segmentation 14%
• Matrix-based 14%
• Normalized Cut 14%
• Overlap Ratio 14%
• PET Image 14%
• Phantom 28%
• Phantom Study 100%
• Positron Emission Tomography-computed Tomography (PET-CT) 14%
• Segmentation Performance 28%
• Similarity Matrix 14%
• Six Sphere 14%
• Spectral Clustering 100%
• Spectral Clustering Algorithm 14%
• Tumor 14%
• Tumor Delineation 100%
• Tumor Segmentation 14%

Engineering

• Anisotropic 50%
• Clustering Algorithm 50%
• Eigenvalue 50%
• Eigenvector 50%
• Error Detection 50%
• Filtered Image 50%
• Gaussians 50%
• Human Intervention 50%
• Metrics 100%
• Similarities 50%

Computer Science

• Clustering Algorithm 12%
• Clustering Method 12%
• Clustering Technique 25%
• Eigenvalue 12%
• Eigenvector 12%
• Error Detection 12%
• Human Intervention 12%
• Image Segmentation 12%
• Segmentation Performance 25%
• Similarity Matrix 12%
• Spectral Clustering 100%
• Tumor Segmentation 12%