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. 2021 Nov 15;11(11):2109. doi: 10.3390/diagnostics11112109
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