| US | Ultrasound |
| USG | Ultrasonography |
| CEUSG | Contrast-enhanced ultrasonography |
| CNN | Convolutional neural network |
| BLT | Benign liver tumor |
| LCY | Liver cyst |
| MLC | Metastatic liver cancer |
| PLC | Primary liver cancer |
| SV | Soft voting |
| WAV | Weighted average voting |
| WHV | Weighted hard voting |
| ST | Stacking |
| DL | Deep learning |
| HCC | Hepatocellular carcinoma |
| FNH | Focal nodular hyperplasia |
| AI | Artificial intelligence |
| CT | Computed tomography |
| CECT | Contrast-enhanced computed tomography |
| MRI | Magnetic Resonance Imaging |
| FLLs | Focal liver lesions |
| SVM | Support vector machine |
| Gd-EOB-DTPA | Gadoliniumethoxybenzyl-diethylenetriamine pentaacetic acid |
| AMED | Japan agency for medical research and development |
| COVID-19 | Coronavirus disease 2019 |
| RAM | Random access memory |
| TP | True positive |
| TN | True negative |
| FP | False positive |
| FN | False negative |
| ROC | Receiver operating characteristic |
| AUC | Area under the curve |
| CORR | Correlation coefficient |
| XGBoost | Extreme gradient boosting |
| LightGBM | Light gradient boosting machine |