Skip to main content

Table 1 The comparison results of state-of-the-art image segmentation algorithms

From: High throughput automatic muscle image segmentation using parallel framework

Method

F1-score (%)

Precision (%)

Recall (%)

 

mean

std

mean

std

mean

std

ISO [37]

80.50

0.0993

89.88

0.0589

74.29

0.1369

gPb [29]

79.04

0.0780

91.23

0.0515

70.11

0.0962

Proposed method

84.61

0.0134

85.99

0.0035

85.11

0.0181

  1. Our results reported here are computed by setting the score threshold of the selected candidate regions to 0.26 (see Fig. 6). Our proposed method shows significantly higher recall than others. These entries in boldface are means the best results
Back to article page

BMC Bioinformatics

ISSN: 1471-2105

Contact us