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. 2020 Jul 18;30(12):6828–6837. doi: 10.1007/s00330-020-07042-x

Table 3.

The performance of deep learning framework

Sensitivity % Specificity % AUC p value
POI 92.41 (73 of 79) [84.85, 97.50] 90.49 (409 of 452) [87.60, 92.79] 0.97 [0.95, 0.98] < 0.001
iHU 91.14 (72 of 79) [82.44, 96.15] 41.59 (188 of 452) [36.95, 46.26] 0.69 [0.63, 0.74] < 0.001
POI + iHU 93.67 (74 of 79) [86.60, 97.73] 88.05 (398 of 452) [85.07, 90.81] 0.97 [0.94, 0.98] < 0.001

Note: Values in parentheses are the numbers for the percentage calculation. Values in brackets are 95% confidence intervals [95%CI, %]. AUC, area under the receiver operating characteristic curve; POI, portion of infection; iHU, average infection Hounsfield unit