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Table 7 The percent of each type of misclassification among all types of misclassification

From: A colonial serrated polyp classification model using white-light ordinary endoscopy images with an artificial intelligence model and TensorFlow chart

Deep learning dataset name

SSA and TA were misclassified as HP

HP misclassified as SSA or TA

SSA and TA self-misclassified

1234

2.56%

17.95%

79.49%

1243

15.00%

25.00%

60.00%

1324

13.64%

11.36%

75.00%

1342

22.50%

25.00%

52.50%

1423

17.07%

17.07%

65.85%

1432

22.00%

18.00%

60.00%

2314

11.11%

19.44%

69.44%

2341

24.14%

13.79%

62.07%

2413

15.69%

33.33%

50.98%

2431

15.38%

5.13%

79.49%

3412

21.57%

15.69%

62.75%

3421

11.76%

8.82%

79.41%

Average

16.04%

17.55%

66.42%

Standard Deviation

6.08

7.69

10.18

95% CI

± 3.86

± 4.89

± 6.47