BMC Oral Health

Table 2 Segmentation performances (Mean (SD)) of intersection over union (IoU), Dice similarity coefficient score (DSC), precision (PR), recall (RC), relative volume difference (RVD), and volume of error (VOE) by Dense121 U-Net, Attention U-Net, simple U-Net, and SegNet for the mandibular third molar and the mandibular canal

From: Automatic classification of 3D positional relationship between mandibular third molar and inferior alveolar canal using a distance-aware network

Mandibular third molar
Segmentation models	IoU	DSC	Precision	Recall	RVD	VOE
SegNet	0.841 ± 0.183	0.898 ± 0.156	0.939 ± 0.093	0.888 ± 0.176	0.049 ± 0.031	0.111 ± 0.027
simple U-Net	0.846 ± 0.181	0.902 ± 0.147	0.944 ± 0.092	0.889 ± 0.177	0.056 ± 0.034	0.105 ± 0.034
Attention U-Net	0.863 ± 0.161	0.916 ± 0.125	0.940 ± 0.086	0.911 ± 0.151	0.038 ± 0.021	0.093 ± 0.027
Dense121 U-Net	0.872 ± 0.161	0.920 ± 0.131	0.946 ± 0.091	0.918 ± 0.148	0.038 ± 0.025	0.088 ± 0.024
Mandibular canal
Segmentation models	IoU	DSC	Precision	Recall	RVD	VOE
SegNet	0.659 ± 0.212	0.770 ± 0.194	0.837 ± 0.171	0.741 ± 0.226	0.162 ± 0.104	0.357 ± 0.146
simple U-Net	0.721 ± 0.162	0.825 ± 0.133	0.899 ± 0.106	0.785 ± 0.176	0.192 ± 0.106	0.303 ± 0.114
Attention U-Net	0.770 ± 0.132	0.863 ± 0.102	0.898 ± 0.093	0.846 ± 0.143	0.131 ± 0.074	0.249 ± 0.077
Dense121 U-Net	0.766 ± 0.125	0.861 ± 0.096	0.911 ± 0.085	0.830 ± 0.136	0.135 ± 0.071	0.248 ± 0.075

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