| ADAM | Adaptive Learning Rate Optimization Algorithm |
| AI | Artificial intelligence |
| AUC | Area-under-the-curve |
| BA | Bland–Altman’s Plot |
| BP | Bacterial pneumonia |
| CAD | Computer-aided diagnosis |
| CC | Coefficient of Correlation |
| CDP | Cumulative Distribution Plot |
| CE-loss | Cross-Entropy Loss |
| CNN | Convolution neural network |
| COV | Coronavirus |
| CT | Computed tomography |
| CXR | Chest X-ray |
| DL | Deep learning |
| DNN | Deep neural network |
| ESD | Ensemble subspace discriminant |
| FC | Fully connected |
| GPU | Graphics processing unit |
| IoU | Intersection over union |
| JPEG | Joint photographic expert group |
| ML | Machine learning |
| NasNet | Neural search architecture network |
| PNG | Portable network graphics |
| RAM | Random-access memory |
| ReLU | Rectified linear unit |
| ResNet | Residual neural network |
| RF | Resolution Factor |
| ROC | Receiver operating characteristic |
| RT-LAMP | Reverse transcription loop-mediated isothermal amplification |
| RT-PCR | Reverse transcriptase polymerase chain reaction |
| SARS-CoV-2 | Severe acute respiratory syndrome coronavirus 2 |
| TB | Tuberculosis |
| TMA | Transcription-mediated amplification |
| VGG | Visual geometry group |
| VP | Viral pneumonia |
| WHO | World health organization |
| 2-D | 2-dimensional |