| Symbol | Abbreviation |
| Acc | Accuracy |
| AF | Amaurosis fugax |
| AI | Artificial intelligence |
| APSI | Atheromatic plaque separation index |
| Asym | Asymptomatic plaque |
| AUC | Area-under-the-curve |
| CAD | Computer-aided diagnostic |
| CT | Computed tomography |
| CV | Cross-validation |
| CVD | Cardiovascular disease |
| DCNN | Deep convolutional neural network |
| DL | Deep learning |
| DOR | Diagnostics odds ratio |
| DWT | Discrete wavelets transform |
| DY | Diagnostic yield |
| EAI | Enhanced activity index |
| ED | Euclidean distance |
| FC, FCN | Fully connected network |
| FD | Fractal dimension |
| FN | Fine-tune networks |
| GLDS | Gray level difference statistic |
| Grad-Cam | Gradient-weighted class activation map |
| GSM | Greyscale median |
| ICA | Internal carotid artery |
| IV3 | Inception V3 |
| k-NN | K-nearest neighbor |
| LOPO | Leave-one-participant-out |
| MFS | Mean feature strength |
| ML | Machine learning |
| MRI | Magnetic resonance imaging |
| MUV | M-mode ultrasound videos |
| PTC | Plaque tissue characterization |
| ReLu | Rectified linear unit |
| RMM | Rayleigh mixture model |
| ROC | Receiver operating characteristic curve |
| ROI | Region-of-interest |
| SACI | Symptomatic and asymptomatic carotid index |
| SGLD | Spatial gray level dependence matrices |
| SOM | Self-organizing map |
| SVM | Support vector machine |
| sym | Symptomatic plaque |
| TL | Transfer learning |
| US | Ultrasound |
| USA | United States of America |
| VGG | Visual geometric group |
| WHO | World Health Organization |