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Table 5 Qualitative results from visual scoring of automatic inferior alveolar nerve segmentation on cone beam computed tomography from 53 randomly selected data (Internal: A, External: B and C)

From: Deep semi-supervised learning for automatic segmentation of inferior alveolar nerve using a convolutional neural network

Grade

Manual

nnU-net

(Last step of active learning)

A

B

C

A

B

C

Rt

Lt

Rt

Lt

Rt

Lt

Rt

Lt

Rt

Lt

Rt

Lt

4 (very accurate)

14.3

14.3

19

19

19

19

11

9.7

10.7

12.3

5.3

4.7

3 (accurate)

0.7

0.7

0

0

0

0

2.7

3

7.3

5

8.7

7

2 (mostly accurate)

0

0

0

0

0

0

1.3

2

1

1.4

3.3

6.3

1 (inaccurate)

0

0

0

0

0

0

0

0.3

0

0.3

1.7

1

  1. A, Korea University Anam Hospital; B, Korea University Ansan Hospital; C, Korea University Guro Hospital; Rt, right; Lt, left