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. 2022 Jul 28;12(8):1822. doi: 10.3390/diagnostics12081822

Table 4.

Percent density (PD) and generalized energy distance (GED) for CM-YNet (mask).

Dataset #Images R1 vs. R2 PD-R1 PD-R2 %(R1 > R2) GED
GVA(train) 2496 0.76 ± 0.17 0.19 ± 0.13 * 0.16 ± 0.12 73.31 3.13 ± 0.44
GVA(test) 844 0.77 ± 0.15 0.19 ± 0.14 * 0.16 ± 0.13 68.36 3.16 ± 0.40
IMIM 381 0.72 ± 0.20 0.17 ± 0.15 0.14 ± 0.11 62.2 2.80 ± 0.56

The DICE score between R1 and R2, and the percent density (PD) for each annotator are shown as mean ± standard deviation. The percentage of samples in which PD-R1 was larger than PD-R2 is shown in the column %(R1 > R2). The last column shows the generalized energy distance (GED) between the annotator’s labels and the estimated segmentation for each annotator. * The difference between the percent density (PD) obtained by R1 and R2 was statistically significant (p < 0.00001)