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Table 1 Precision, recall, and Intersection over Union (IoU) of the detections

From: Intra-oral scan segmentation using deep learning

Tooth

Precision

Recall

IoUBoundingBox

11

1.000

1.000

0.848

12

1.000

0.994

0.806

13

0.988

0.942

0.831

14

0.983

1.000

0.847

15

0.942

1.000

0.819

16

0.994

1.000

0.863

17

0.969

0.976

0.810

18

0.263

0.833

0.801

21

1.000

1.000

0.836

22

1.000

1.000

0.778

23

0.959

0.959

0.810

24

0.989

1.000

0.843

25

0.926

0.994

0.821

26

0.983

0.994

0.873

27

0.969

0.992

0.821

28

1.000

1.000

0.718

31

1.000

1.000

0.742

32

1.000

1.000

0.796

33

0.988

0.988

0.796

34

0.965

1.000

0.814

35

0.868

0.986

0.800

36

0.994

1.000

0.818

37

0.943

0.935

0.765

38

0.429

0.500

0.824

41

0.994

0.988

0.727

42

0.994

1.000

0.764

43

0.976

0.982

0.754

44

0.988

0.994

0.801

45

0.900

0.994

0.812

46

0.994

0.994

0.814

47

0.943

0.951

0.767

48

0.750

1.000

0.743