Table 5.
Comparative analysis of experimental protocols employed by dental disease diagnosis approaches on Tufts multimodal panoramic X-ray.
Author, Year (Ref) | Architecture | Task | Dataset Size and Split | Data Augmentation | Hyperparameters | |||
---|---|---|---|---|---|---|---|---|
Train Set | Test Set | Loss Function | Optimizer | Learning Rate | ||||
Pannetta et al., 2022 [60] | UNet with three backbones | Tooth segmentation | 85– | 150 | - | Cross entropy | Adam | 0.0001 |
Nashold et al., 2022 [124] | Multi-objective model | Abnormality detection and localization | 900 | 100 | Affine transformation | Binary cross entropy | Adam | 0.0001 |
Karacan et al., 2022 [62] | Tooth segmentation | - | - | - | - | - | - | - |