Table 7 Comparison evaluation metrics and score obtained by using different algorithms.

From: Semi-automatic liver segmentation based on probabilistic models and anatomical constraints

Method

Auto

Run Time (sec)

VOE [%]

RVD [%]

ASD [mm]

RMSD [mm]

MSD [mm]

Overall score

Peng27

Semi

120–180

4.6 ± 0.5

1.0 ± 0.8

0.7 ± 0.1

1.5 ± 0.4

16.9 ± 3.7

83.4

Kainmüller11

Yes

900

7.0 ± 2.3

 − 3.6 ± 3.3

1.1 ± 0.3

2.3 ± 0.7

20.9 ± 6.4

73.0

Wu20

Yes

27

7.9 ± 1.3

1.3 ± 3.1

1.3 ± 0.2

2.5 ± 0.7

23.6 ± 8.1

71.4

Heimann10

Yes

600

11.0 ± 6.9

 − 1.7 ± 8.4

2.4 ± 2.3

5.1 ± 4.9

35.2 ± 21.3

59.0

Proposed*

Semi

78

8.0 ± 1.1

 − 0.3 ± 2.7

1.3 ± 0.4

2.5 ± 1.0

24.9 ± 10.0

71.3

  1. *Our scores were evaluated on 7 images, while other works were on 10 images.
  2. The bold means the best values in each column.