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Table 4 The number of cases and evaluation matrices of segmentation results for clinical application in each category

From: An automated liver segmentation in liver iron concentration map using fuzzy c-means clustering combined with anatomical landmark data

Output categories

FCM combined with anatomical landmark data

FCM

Training cohort

Testing cohort

All data

All data

Output I

 No. cases

359 (81.41%)

87 (77.68%)

446 (80.65%)

349 (63.11%)

 %DSC

91.30 ± 3.05

91.70 ± 2.55

  

 %JC

84.13 ± 5.04

84.78 ± 4.30

  

 H (mm)

15.75 ± 9.66

15.38 ± 9.25

  

 %FP

8.83 ± 6.96

6.82 ± 5.33

  

 %FN-Type I

8.47 ± 7.20

10.02 ± 6.98

  

 %FN-Type II

0.00

0.00

  

Output II

 No. cases

51 (11.56%)

12 (10.71%)

63 (11.39%)

150 (27.12%)

 %DSC

86.43 ± 6.49

85.44 ± 7.14

  

 %JC

76.63 ± 9.45

75.18 ± 10.50

  

 H (mm)

32.50 ± 14.77

28.76 ± 14.68

  

 %FP

14.13 ± 12.94

18.00 ± 12.35

  

 %FN-Type I

11.84 ± 7.49

9.01 ± 5.55

  

 %FN-Type II

0.59 ± 0.81

1.09 ± 1.79

  

Output III

 No. cases

31 (7.03%)

13 (11.61%)

44 (7.96%)

54 (9.76%)

 %DSC

54.26 ± 30.74

47.31 ± 23.93

  

 %JC

42.87 ± 27.91

33.85 ± 20.02

  

 H (mm)

72.39 ± 45.58

96.26 ± 46.01

  

 %FP

53.12 ± 32.01

63.14 ± 25.31

  

 %FN-Type I

6.42 ± 6.81

5.28 ± 12.39

  

 %FN-Type II

0.65 ± 1.80

0.37 ± 1.32

  

Total

441

112

553

553