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. 2021 Jun 16;48(13):4293–4306. doi: 10.1007/s00259-021-05432-x

Table 3.

Comparison of discriminant performance between 3D-ResNet and 3 radiologists in the test set

Performance 3D-ResNet Reader1-10y Reader2-5y Reader3-3y
AUC 0.86 0.69 0.65 0.63
Accuracy 0.83 0.80 0.77 0.75
Specificity 0.57 0.46 0.39 0.39
Sensitivity 0.92 0.92 0.91 0.87
NTM-LD_Precision 0.73 0.68 0.61 0.52
NTM-LD_F1 score 0.64 0.55 0.48 0.45
MTB-LD_Precision 0.86 0.83 0.81 0.80
MTB-LD_F1 score 0.89 0.87 0.86 0.83
sec/CT 0.04 ~ 0.06 58 62 71