Research Article
Computer-Aided Grading of Gliomas Combining Automatic Segmentation and Radiomics
Table 5
The feature subset based on ground truth segmentation.
| Selected feature | Group | Modality |
| 90 Percentile | First-order | T1 | | GLCM | T1 | Maximum Probability (MP) | GLCM | T1 | 90 | First-order | T1c | Kurtosis | First-order | T1c | Mean | First-order | T1c | Mean Absolute | First-order | T1c | Root Mean | First-order | T1c | Skewness | First-order | T1c | Dependence Nonuniformity (DN) | GLDM | T1c | Small Dependence Emphasis | GLDM | T1c | Small Dependence Low Gray Level Emphasis | GLDM | T1c | High Gray Level Run Emphasis | GLRLM | T1c | Low Gray Level Run Emphasis | GLRLM | T1c | Run Length Nonuniformity (RLN) | GLRLM | T1c | Large Area High Gray Level Emphasis (LAHGLE) | GLSZM | T1c | Small Area High Gray Level Emphasis (SAHGLE) | GLSZM | T1c | | First-order | T2 | | GLCM | T2 | Informal Measure of Correlation 1 | GLCM | T2 | Informal Measure of Correlation 2 | GLCM | T2 | Dependence Nonuniformity Normalized (DNN) | GLDM | T2 | Low Gray Level Zone Emphasis (LGLZE) | GLSZM | T2 | Cluster Shade | GLCM | FLAIR | Large Area High Gray Level Emphasis (LAHGLE) | GLSZM | FLAIR |
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