Table 4 The classification performance in terms of accuracy, sensitivity, specificity, and AUC by SinusC-Net.

From: SinusC-Net for automatic classification of surgical plans for maxillary sinus augmentation using a 3D distance-guided network

Class

Accuracy

Sensitivity

Specificity

AUC

A

1.00

1.00

1.00

1.00

B

0.98

0.92

1.00

0.96

B’

0.96

0.89

0.98

0.93

C

0.94

0.88

0.96

0.92

C’

0.96

0.92

0.98

0.95

Mean (SD)

0.97 \(\pm\) 0.02

0.92 \(\pm\) 0.04

0.98 \(\pm\) 0.01

0.95 \(\pm\) 0.03

  1. AUC area under the receiver operating characteristic curve.
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