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. 2022 Jul 7;12:869421. doi: 10.3389/fonc.2022.869421

Table 2.

The results of all combinations (Model_REZ) in internal test set.

Models AUC (95%CI) Sen (%) Spe (%) Acc (%)
Xception
 224×224 0.896 (0.880-0.913) 77.31 87.74 83.53
 320×320 0.883 (0.866-0.899) 81.22 81.08 81.14
 448×448 0.887 (0.869-0.904) 83.41 82.14 82.65
MobileNet
 224×224 0.877 (0.859-0.895) 80.75 81.40 81.14
 320×320 0.867 (0.849-0.886) 81.38 78.54 79.68
 448×448 0.886 (0.870-0.903) 80.59 80.97 80.59
EfficientNetB0
 224×224 0.878 (0.861-0.895) 79.34 81.92 80.88
 320×320 0.887 (0.870-0.904) 80.28 83.30 82.08
 448×448 0.875 (0.857-0.893) 74.49 89.01 83.15
ResNet50
 224×224 0.781 (0.758-0.804) 72.46 70.08 71.04
 320×320 0.847 (0.827-0.866) 77.93 76.96 77.35
 448×448 0.851 (0.832-0.870) 72.61 82.88 78.74
DenseNet121
 224×224 0.867 (0.849-0.885) 77.46 81.40 79.81
 320×320 0.849 (0.829-0.869) 79.34 78.54 78.86
 448×448 0.866 (0.848-0.884) 79.03 80.97 80.19

REZ, resolution; AUC, area under the curve; CI, confidence interval; Sen, sensitivity; Spe, specificity; Acc, accuracy.