Table 6 Performance metrics across 5 folds.

From: PCSA-Net: pyramid channel and spatial attention network for multiclass renal disease diagnosis using CT images

Fold

Accuracy

Precision

Recall

F1-score

(a) Standard PCSA-ResNet integration

 1

99.8%

99.7%

99.8%

99.7%

 2

100%

100%

100%

100%

 3

99.9%

99.9%

100%

99.9%

 4

100%

100%

100%

100%

 5

99.9%

99.9%

99.8%

99.9%

 Mean

99.92%

99.9%

99.92%

99.9%

(b) Pre-PCSA integration

 1

96.3%

95.8%

96.2%

96.0%

 2

96.5%

96.2%

96.5%

96.3%

 3

95.9%

95.5%

96.0%

95.7%

 4

96.4%

96.0%

96.2%

96.1%

 5

96.1%

95.9%

96.3%

96.0%

 Mean

96.24%

95.88%

96.24%

96.02%

(c) Post-PCSA Integration

 1

97.1%

97.0%

96.8%

96.9%

 2

96.8%

96.7%

96.5%

96.6%

 3

96.9%

96.9%

97.0%

96.9%

 4

97.2%

97.1%

97.2%

97.1%

 5

96.7%

96.6%

96.8%

96.7%

 Mean

96.94%

96.86%

96.86%

96.84%