Table 6 Comparison of accuracy, precision, and recall with the state-of-art.

From: Transfer learning for accurate fetal organ classification from ultrasound images: a potential tool for maternal healthcare providers

Author

Number of images

Model

Accuracy (%)

Precision (%)

Recall (%)

Qu et al.19

15,314

CNN

93

93

92

Kong et al.20

22,715

DenseNet

98.26

98.14

98.15

Liang et al.21

17,840

SPRNet

99

–

96

Our work

16,085

DenseNet169

99.97

99.98

99.96

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