Table 4 Statistical significance of each criterion for the modified VGG16 model.

From: Identification of kidney stones in KUB X-ray images using VGG16 empowered with explainable artificial intelligence

Performance parameters

Testing

Accuracy

97.41%

Misclassification rate

2.59%

Precision

97.39%

Sensitivity

98.45%

Specificity

95.70%

FPR

4.30%

FNR

1.55%

F1 Score

0.98

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