DR |
Digital radiography |
WHO |
World Health Organization |
CNN |
Convolutional neural network |
TB |
Tuberculosis |
AUC |
Area under the curve |
UM |
Unsharp masking |
CTD |
Computer-aided tuberculosis diagnosis |
TBNN |
Tuberculosis neural net |
ECA |
Efficient channel attention |
ResNet |
Deep residual network |
SENet |
Squeeze-and-excitation network |
TP
|
True positive |
TN
|
True negative |
FP
|
False positive |
FN
|
False negative |
PC |
Personal computer |
NLM |
National Library of Medicine |
CHN |
China dataset |
MC |
Montgomery dataset |
+LR
|
Positive likelihood ratio |
−LR
|
Negative likelihood ratio |
PPV
|
Positive predictive value |
NPV
|
Negative predictive value |
KDE |
Kernel density estimation |
FLOPS |
Floating-point operations |
TFLOPS |
Trillion floating-point operations per second |
SVM |
Support-vector machine |
KNN |
k-Nearest Neighbors |
GLCM |
Gray-level co-occurrence matrix |
GGCM |
Gray-level gradient co-occurrence matrix |
LBP |
Local binary pattern |
DICOM |
Digital Imaging and Communications in Medicine |