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. 2020 Jul 2;21(8):987–997. doi: 10.3348/kjr.2020.0237

Table 4. Comparison of Segmentation Performance and Volumetric Measurement Results of Deep Learning Algorithm between Internal CT Data and External CT Data in Test Dataset-2.

Performance Statistics External CT Data Internal CT Data P*
Dice similarity score
 Liver 0.982 ± 0.011 (0.932–0.999) 0.983 ± 0.007 (0.954–0.998) 0.28
 Spleen 0.969 ± 0.011 (0.930–0.994) 0.968 ± 0.010 (0.936–0.993) 0.41
95% LOA of volumetric indices
 Liver volume -0.34 ± 2.67 -0.03 ± 3.47 NA
 Spleen volume -0.63 ± 4.34 -0.33 ± 3.70 NA
 Liver/spleen volume ratio 0.30 ± 5.22 0.50 ± 4.02 NA

Data are expressed as mean ± standard deviation; data in parentheses are range. *p values for comparison of dice similarity score between internal CT data and external CT data using Wilcoxon test, Data are expressed as mean ± standard deviation; data in parentheses are range, Data are Bland-Altman 95% LOA expressed in percentage as mean difference ± 1.96 × standard deviation of difference. NA = not applicable