Table 2.
Model | Group | ACC | SEN | SPE | PPV | NPV |
---|---|---|---|---|---|---|
Radiomics | Training | 0.774 | 0.943 | 0.708 | 0.556 | 0.97 |
Test | 0.793 | 0.906 | 0.72 | 0.674 | 0.923 | |
ResNet101 | Training | 0.942 | 0.943 | 0.942 | 0.862 | 0.977 |
Test | 0.878 | 0.906 | 0.86 | 0.806 | 0.935 | |
DL+Radiomics | Training | 0.968 | 0.962 | 0.971 | 0.927 | 0.985 |
Test | 0.915 | 0.938 | 0.9 | 0.857 | 0.957 |
Abbreviations: DL, deep learning; ACC, Accuracy; SEN, sensitivity; SPE, specificity; PPV, positive predictive value; NPV, negative predictive value.