Research Article
Differentiation of Pelvic Osteosarcoma and Ewing Sarcoma Using Radiomic Analysis Based on T2-Weighted Images and Contrast-Enhanced T1-Weighted Images
Table 3
Radiomic features used in the analysis.
| Radiomic feature type | References | Radiomic features |
| Histogram | Sutton [18] | Mean, variance, uniformity, skewness, kurtosis, energy, entropy | Form factor | / | Volume CC, surface, surface volume ratio, compactness, maximum 3D diameter | Haralick and GLCM | Haralick et al. [14] | Entropy, inertia, inverse difference moment | GLRLM | Galloway [15] | Short run emphasis, long run emphasis, gray-level nonuniformity, run-length nonuniformity, run percentage | Chu et al. [16] | Low gray-level run emphasis, high gray-level run emphasis | Dasarathy and Holder [17] | Short run low gray-level emphasis, short run high gray-level emphasis, long run low gray-level emphasis, long run high gray-level emphasis |
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Note: GLCM = gray-level cooccurrence matrix; GLRLM = gray-level run length matrix.
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