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Image Search Results
Journal: EXCLI Journal
Article Title: A new assessment model for tumor heterogeneity analysis with [18]F-FDG PET images
doi: 10.17179/excli2015-723
Figure Lengend Snippet: GLCM parameters and H index obtained from the 3D spherical phantoms. (a): single spheres of different size parameter R, zero represents an invisible bar; (b): multi-sphere assembly with small spheres of variable number N; (c): two-sphere assembly with small sphere of variable distance D; (d): two-sphere assembly with small sphere of variable radius r s
Article Snippet: To validate the new heterogeneity assessment model, two types of phantoms with different distributions of gray levels assumed as SUV were created and analyzed using the
Techniques:
Journal: EXCLI Journal
Article Title: A new assessment model for tumor heterogeneity analysis with [18]F-FDG PET images
doi: 10.17179/excli2015-723
Figure Lengend Snippet: The GLCM parameters and H index obtained from the 2D phantoms shown in Figure 2, the H bar in (f) is marked with its negative value of -0.017
Article Snippet: To validate the new heterogeneity assessment model, two types of phantoms with different distributions of gray levels assumed as SUV were created and analyzed using the
Techniques:
Journal: EXCLI Journal
Article Title: A new assessment model for tumor heterogeneity analysis with [18]F-FDG PET images
doi: 10.17179/excli2015-723
Figure Lengend Snippet: The GLCM parameters and H index obtained from six lung cancer patients' tumors, three of them are shown in Figure 3
Article Snippet: To validate the new heterogeneity assessment model, two types of phantoms with different distributions of gray levels assumed as SUV were created and analyzed using the
Techniques: