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. 2023 Jan 18;13:967. doi: 10.1038/s41598-022-25849-0

Table 3.

Comparison of performance according to models.

Performance ResNet152 ResNet50
Sn (95% CI) 0.833* (0.826–0.839) 0.831 (0.819–0.843)
FPPI (95% CI) 0.480* (0.456–0.503) 0.546 (0.483–0.608)
Precision (95% CI) 0.660* (0.650–0.670) 0.632 (0.610–0.654)
mAP (95% CI) 0.804* (0.802–0.806) 0.796 (0.784–0.807)

CI confidence interval, Sn sensitivity, FPPI false positive per image, mAP mean average precision.

*Highest values of comparison parameters.