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. 2023 Oct 6;10:1280714. doi: 10.3389/fmed.2023.1280714

Table 1.

Comparison of different segmentation methods.

Method DSC (%) IOU (%) Recall (%) Precision (%) F1 Score (%)
FCN 59.31 ± 9.30 44.60 ± 9.32 66.07 ± 7.93 57.69 ± 9.69 59.31 ± 9.30
U-Net 62.12 ± 8.91 47.84 ± 9.42 68.89 ± 8.44 60.44 ± 8.64 62.12 ± 8.91
U-Net++ 61.60 ± 9.26 47.48 ± 9.73 67.43 ± 6.60 60.37 ± 11.26 61.60 ± 9.26
Res U-Net 63.93 ± 8.82 50.32 ± 9.31 62.71 ± 9.20 71.37 ± 7.66 63.93 ± 8.82
3D U-Net 61.45 ± 8.64 49.41 ± 10.18 58.64 ± 12.91 65.58 ± 8.73 61.45 ± 8.64
SW-3DUNet 51.18 ± 9.87 36.26 ± 9.08 60.68 ± 12.10 47.62 ± 10.17 51.18 ± 9.87
SANet 64.33 ± 8.68 50.59 ± 9.31 63.09 ± 8.23 70.90 ± 8.40 64.33 ± 8.68
DBR-Net 51.14 ± 7.57 36.71 ± 6.77 48.88 ± 7.69 59.99 ± 6.03 51.14 ± 7.57
Proposed method 66.83 ± 9.06 56.33 ± 7.08 61.12 ± 11.9 82.31 ± 6.39 66.83 ± 9.06

1The variable was expressed as the mean ± standard deviation (SD). The bold value represents the optimal result for the column of indicators.