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Table 3 Comparison under the Wilcoxon rank-sum test

From: CNN-IKOA: convolutional neural network with improved Kepler optimization algorithm for image segmentation: experimental validation and numerical exploration

T

KOA

TLBO

NOA

CPSOGSA

EO

MSSA

SSA

DE

T-5

3.6200E−06

5.2220E−05

8.4343E−06

3.8736E−04

4.1029E−02

2.2191E−07

1.2741E−07

1.3005E−07

T-7

2.1215E−07

8.9050E−04

7.9429E−07

3.7258E−04

1.1743E−04

9.6443E−08

8.3322E−08

1.4566E−07

T-8

2.5814E−06

2.9497E−04

6.0420E−06

1.7131E−04

8.0209E−04

9.1517E−08

8.3131E−08

7.2440E−07

T-10

4.5105E−07

5.4989E−05

2.3633E−06

9.6592E−06

1.9652E−03

7.7866E−08

7.4895E−08

7.4895E−08

T-12

1.4414E−07

2.1812E−04

2.2236E−07

1.3448E−04

1.2130E−03

7.7866E−08

7.7651E−08

6.7956E−08

T-15

3.5561E−07

1.3538E−04

2.7791E−06

2.4001E−03

2.4755E−02

9.0155E−08

1.1547E−07

6.7956E−08

T-18

1.8121E−07

9.4566E−05

1.4353E−07

5.6731E−04

2.6634E−03

7.0712E−08

6.9334E−08

6.7956E−08

T-20

1.4112E−07

1.3532E−05

5.9447E−07

2.3398E−05

1.5431E−03

8.2679E−08

1.0094E−07

6.7956E−08

T-25

1.3809E−07

1.6307E−06

1.0637E−07

1.5352E−04

1.4737E−02

1.1076E−07

1.0870E−07

6.7956E−08

T-30

7.8959E−08

9.1363E−07

1.0340E−07

1.3306E−04

6.2798E−03

1.3264E−07

1.0488E−07

6.7956E−08

  1. Bold values show that there is a difference