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 |