Table 10 Accuracy of our proposed model UNet-BiGRU in image segmentation using k-fold cross validation.

From: A machine learning approach for vocal fold segmentation and disorder classification based on ensemble method

Fold

Training accuracy (%)

Validation accuracy (%)

1

35.28

32.74

2

49.65

38.54

3

56.22

48.67

4

68.57

59.69

5

79.68

72.77

6

88.47

85.33

7

92.78

87.46

8

96.95

92.56

9

95.56

90.65

10

95.84

90.89

  1. Significant values are in bold.
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