Table 9 Comprehensive performance evaluation of implemented models using key metrics.

From: Fine-tuned deep learning models for early detection and classification of kidney conditions in CT imaging

Model/metrics

Precision

Recall

F1-Score

ROC-AUC

CNN

36.83

40.22

58.34

64.93

VGG16

90.96

88.08

91.40

94.16

ResNet50

99.95

99.90

99.92

99.93

CNNAlexnet

99.90

99.79

99.88

99.92

InceptionV3

99.98

99.90

99.96

99.97

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