Table 6.

Comparative analysis of experimental protocols employed by dental disease diagnosis approaches on UFBAUESC dental image data set.

Author, Year (Ref)	Architecture	Task	Dataset Size and Split			Data Augmentation	Hyperparameters
			Train Set	Valid Set	Test Set		Loss Function	Optimizer	Learning Rate
Yamanakkana et al., 2022 [125]	Two feature aggregation module	Tooth segmentation	1200	150	150	Affine transformation	-	-	-
Chen et al., 2021 [126]	Multiscale structural similarity	Tooth segmentation root boundary extraction	1200	150	150	-	Custom hybrid loss	Adam	0.0001
Zhao et al., 2020 [127]	Two stage attention segmentation network	Tooth segmentation	1200	150	150	-	Custom hybrid loss	Adam	0.001
Kosh et al., 2019 [128]	Ensemble U-Net	Tooth segmentation	1200	-	300	Affine transformation	Cross entropy	Adam	0.0001
Silva et al., 2018 [57]	Mask R-CNN	Tooth segmentation	753	452	295	-	-	-	-