From: Deep learning-based prediction of osseointegration for dental implant using plain radiography
Specificity | Sensitivity | Accuracy | |||||||
---|---|---|---|---|---|---|---|---|---|
Model | Mean | Best | Worst | Mean | Best | Worst | Mean | Best | Worst |
ResNet18 | 0.802 | 0.892 | 0.646 | 0.811 | 0.874 | 0.690 | 0.806 | 0.882 | 0.702 |
ResNet-34 | 0.810 | 0.933 | 0.687 | 0.832 | 0.895 | 0.748 | 0.822 | 0.886 | 0.759 |
ResNet-50 | 0.857 | 0.925 | 0.779 | 0.817 | 0.903 | 0.595 | 0.836 | 0.896 | 0.734 |
DenseNet-121 | 0.823 | 0.899 | 0.739 | 0.813 | 0.879 | 0.730 | 0.818 | 0.870 | 0.734 |
DenseNet-201 | 0.809 | 0.915 | 0.680 | 0.827 | 0.942 | 0.690 | 0.816 | 0.854 | 0.760 |
MobileNet-V2 | 0.816 | 0.883 | 0.705 | 0.833 | 0.922 | 0.659 | 0.824 | 0.883 | 0.755 |
MobileNet-V3 | 0.780 | 0.883 | 0.704 | 0.819 | 0.890 | 0.750 | 0.799 | 0.853 | 0.772 |