Table 6 Performance of super-resolution models for image classification across multiple countries (super-resolved and original).

From: Enhancing fetal ultrasound image quality and anatomical plane recognition in low-resource settings using super-resolution models

 

Algeria

Egypt

Ghana

Malawi

Uganda

SR models

Accuracy

F1 score

Kappa

Accuracy

F1 score

Kappa

Accuracy

F1 score

Kappa

Accuracy

F1 score

Kappa

Accuracy

F1 score

Kappa

DBPISR

69%

51.40%

44.45%

71%

64.56%

56.28%

48%

38.25%

34.1%

57%

42.64%

32.2%

53.34%

34.5%

31.16%

BSRGAN

85%

72.64%

79.87%

51%

50.22%

58.4%

4%

5.77%

11.76%

60%

58.17%

58.84%

5.33%

6.89%

0%

Real-ESRGAN

96%

78.31%

92.33%

68%

62.94%

64.5%

18.67%

22.05%

17.10%

79%

68.91%

71%

18.67%

21.8%

15.9%

SwinIR

94%

77.09%

88.04%

64%

60.42%

64.09%

12%

15.61%

7.45%

84%

72.52%

75%

10.67%

13.69%

5.6%

SwinIR_large

84%

72.39%

80%

63%

59.75%

66.6%

5.33%

7.28%

4.73%

59%

56.8%

64.13%

17.33%

20.45%

15.68%

Original

85%

72.74%

80.67%

62%

59.5%

62.33%

5.33%

7.54%

2.96%

66%

62.37%

62.8%

18.67%

21.87%

13.95%