Acronyms
|
Description
|
AAN |
Artificial neural networks |
ADC |
Apparent diffusing coefficient |
AI |
Artificial intelligence |
anti-PSMA |
Prostate specific membrane antigen |
AUC |
Area under the curve |
B-mode |
Brightness mode |
CAD |
Computer aided diagnosis |
CDSSs |
Clinical decision support systems |
CEUS |
Contrast enhanced ultrasonography |
CEUS |
Contrast enhanced ultrasonography |
CHB-DWI |
Computed high-b value diffusion weighted imaging |
CNN |
Convolutional neural network |
CpG |
Cytosine and guanine on a genome |
CT |
Computed Tomography |
Dataset-FS |
First and strongest enhancement phase |
DCE |
Dynamic contrast-enhanced |
DCE-US |
Dynamic contrast-enhanced ultrasound |
DCNN |
Deep convolutional neural network |
DL |
Deep learning |
DNA |
Deoxyribonucleic acid |
DT |
Decision Tree |
DWI |
Diffusion weighted imaging |
EBRT |
External beam radiation therapy |
GA-AAN |
Genetic algorithm artificial neural network |
Hybrid 3D/2D U-Net CNN |
The Hybrid 3D/2D U-Net trained on 3D images and then completed object detection and segmentation on 2D images) |
KNN |
K-nearest neighbor |
LASSO |
Least absolute shrinkage and selection operator |
LWI |
Luminal water imaging |
ML |
Machine learning |
MRF |
MR fingerprinting |
MRI |
Magnetic resonance imaging |
PCa |
Prostate cancer |
PI-RADS |
Prostate Imaging-Reporting and Data system |
PSA |
Prostate Specific Antigen |
RF |
Random forest |
RFC |
Random forest classifiers |
RNA |
Ribonucleic acid |
RSI |
Restriction spectrum imaging |
SVM |
Support vector machines |
SVM-RBF |
SVM-Radial basis function kernel |
SWE |
Shear-wave elastography |
TMA |
Tissue microarrays |
TRUS |
Transrectal ultrasound |
TZ |
Tranzitional zone |
XGB |
Extreme gradient boosting |