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. 2020 Sep 21;27(12):1665–1678. doi: 10.1016/j.acra.2020.09.004

Table 3.

Performance of U-Net Models for Segmentation of Lung and Lesions

Lung Segmentation DSC Jaccard RVD
Overall 0.981 0.965 −0.46%
Moderate 0.990 0.980 0.63%
Severe 0.987 0.975 0.16%
Critical 0.961 0.935 −2.56%
(Lesion Segmentation, DSC, Jaccard, RVD)
Overall 0.778 0.663 2.1%
Moderate 0.746 0.619 3.1%
Severe 0.790 0.671 2.6%
Critical 0.826 0.723 −3.3%

Note:

• Dice similarity coefficient (DSC): 2*TP / ( 2*TP + FP + FN ).

• Jaccard index: TP / ( TP + FP + FN ).

• Relative volume difference (RVD): (Vol(res) / Vol(ref) -1) *100%.

res: automated segmentation results exported by U-Net.

ref: reference segmentation results contoured by radiologists.