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Table 2 Tendon segmentation results of Chuang’s dataset (mean ± standard deviation)

From: Segmentation of finger tendon and synovial sheath in ultrasound image using deep convolutional neural network

Methods

Clear

Fuzzy

DSC

MAD

HD

Yasnoff

CHD

DSC

MAD

HD

Yasnoff

CHD

ATASM [16]

0.91 ± 0.03

3.14 ± 1.14

–

–

–

0.90 ± 0.03

3.34 ± 0.99

–

–

–

U-Net

0.87 ± 0.14

7.93 ± 7.84

22.42 ± 33.76

0.55 ± 0.66

9.10 ± 13.17

0.87 ± 0.08

10.14 ± 8.95

28.29 ± 36.36

0.72 ± 0.71

11.88 ± 13.56

FC-DenseNet

0.91 ± 0.05

5.70 ± 6.69

18.62 ± 34.02

0.35 ± 0.54

6.73 ± 12.37

0.90 ± 0.05

4.80 ± 5.53

14.27 ± 22.77

0.26 ± 0.46

5.37 ± 10.61

DFC-DN

0.92 ± 0.03

2.74 ± 1.43

7.52 ± 3.72

0.09 ± 0.13

2.13 ± 2.60

0.92 ± 0.04

2.79 ± 1.58

7.41 ± 3.63

0.09 ± 0.09

1.81 ± 1.03

D2FC-DN

0.93 ± 0.03

2.51 ± 1.02

7.45 ± 2.82

0.07 ± 0.03

2.02 ± 2.79

0.92 ± 0.04

2.74 ± 1.36

7.36 ± 3.70

0.07 ± 0.05

1.39 ± 0.79