Table 3 Performances of the pre-trained DL models on the internal test dataset
From: Fully automated film mounting in dental radiography: a deep learning model
Network | Accuracy | Precision | Recall | F1-Score |
|---|---|---|---|---|
VGG-16 | 0.934 (0.912, 0.957) | 0.916 (0.895, 0.932) | 0.956 (0.933, 0.973) | 0.937 (0.917, 0.959) |
ResNet-18 | 0.963 (0.948, 0.978) | 0.952 (0.941, 0.963) | 0.977 (0.962, 0.989) | 0.965 (0.951, 0.979) |
ResNet-101 | 0.976 (0.968, 0.983) | 0.969 (0.951, 0.981) | 0.984 (0.969, 0.991) | 0.977 (0.969, 0.984) |