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 |