| AdaBoost | adaptive boosting |
| AUROC | area under the receiver operating curve |
| CI | confidence interval |
| CNHU-HKM | Centre National Hospitalier Universitaire Hubert Koutoukou Maga |
| CT | computed tomography |
| FNH | focal nodular hyperplasia |
| GLCM | gray-level co-occurrence matrix |
| GLDM | gray-level dependence matrix |
| GLH | gray-level histogram |
| GLRLM | gray-level run length matrix |
| GLSZM | gray-level size zone matrix |
| H | high |
| HA | hepatocellular adenoma |
| HCC | hepatocellular carcinoma |
| HEM | hepatic hemangioma |
| HU | Hounsfield unit |
| L | low |
| LoG | Laplacian of Gaussian |
| LR | logistic regression |
| MCC | Matthews correlation coefficient |
| ML | machine learning |
| MRI | magnetic resonance imaging |
| NPV | negative prediction value |
| PNN | probabilistic neural network |
| PPV | positive prediction value |
| RCAD | radiomics-based computer-aided |
| RF | random forests |
| RIL-Contour | Radiology Informatics Laboratory Contour |
| ROI | region of interest |
| SVM | support vector machine |
| VIF | variance inflation factor |
| XGBoost | extreme gradient boosting |