Research Article
Computer-Aided Grading of Gliomas Combining Automatic Segmentation and Radiomics
Table 3
The feature subset based on automated segmentation.
| | Selected feature | Group | Modality |
| | Cluster Shade | GLCM | T1 | | 90 Percentile | First-order | T1c | | Energy | First-order | T1c | | Mean Absolute Deviation | First-order | T1c | | Minimum | First-order | T1c | | Root Mean Squared | First-order | T1c | | Total Energy | First-order | T1c | | Small Dependence Emphasis (SDE) | GLDM | T1c | | Small Dependence Low Gray Level Emphasis (SDLGLE) | GLDM | T1c | | High Gray Level Run Emphasis (HGLRE) | GLRLM | T1c | | Low Gray Level Run Emphasis (LGLRE) | GLRLM | T1c | | Gray Level Variance (GLV) | GLSZM | T1c | | Large Area Emphasis (LAE) | GLSZM | T1c | | Maximum | First-order | T2 | | Correlation | GLCM | T2 | | Informal Measure of Correlation 1 (Imc1) | GLCM | T2 | | Informal Measure of Correlation 2 (Imc2) | GLCM | T2 | | Maximum | First-order | FLAIR | | Informal Measure of Correlation 1 (Imc1) | GLCM | FLAIR | | Large Area Emphasis (LAE) | GLSZM | FLAIR |
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