Table 3.
Matrix of correlations of the features used for classifier building
| max3D | SVR | LA | JE | PI | |
|---|---|---|---|---|---|
| max3D | 1.000 | − 0.778 | 0.930 | 0.812 | 0.339 |
| SVR | − 0.778 | 1.000 | − 0.726 | − 0.824 | − 0.467 |
| LA | 0.930 | − 0.726 | 1.000 | 0.740 | 0.334 |
| JE | 0.812 | − 0.824 | 0.740 | 1.000 | 0.416 |
| PI | 0.339 | − 0.467 | 0.334 | 0.416 | 1.000 |
Multivariate measurements of correlations of the selected radiomic features and the clinical assessment category PI-RADS (Prostate Imaging Reporting and Data System) used for the generation of the prediction models. max3D, maximum 3D diameter; SVR, surface to volume ratio; LA, least axis; JE, joint entropy; PI, PI-RADS