Research Article
Design of Metaheuristic Optimization-Based Vascular Segmentation Techniques for Photoacoustic Images
Table 1
Result analysis of SEF with three optimization algorithms
| No. of runs | Dice coefficient | IoU | Sensitivity | Accuracy |
| SEF-CS | Run-1 | 83.52 | 72.32 | 95.26 | 98.07 | Run-2 | 84.37 | 72.92 | 96.26 | 98.28 | Run-3 | 84.89 | 73.92 | 96.76 | 98.38 | Run-4 | 85.54 | 74.52 | 97.26 | 98.68 | Run-5 | 86.29 | 75.42 | 97.76 | 98.89 | Average | 84.92 | 73.82 | 96.66 | 98.46 |
| SEF-EO | Run-1 | 83.77 | 71.75 | 95.26 | 98.09 | Run-2 | 84.34 | 72.65 | 96.04 | 98.15 | Run-3 | 84.93 | 73.55 | 96.87 | 98.49 | Run-4 | 85.72 | 74.15 | 97.41 | 98.88 | Run-5 | 86.44 | 74.85 | 98.20 | 99.15 | Average | 85.04 | 73.39 | 96.76 | 98.55 |
| SEF-HS | Run-1 | 83.59 | 72.25 | 95.65 | 98.18 | Run-2 | 84.52 | 72.85 | 96.85 | 98.35 | Run-3 | 85.45 | 73.55 | 97.55 | 98.69 | Run-4 | 86.17 | 74.45 | 97.95 | 98.88 | Run-5 | 86.64 | 75.35 | 98.15 | 99.02 | Average | 85.27 | 73.69 | 97.23 | 98.62 |
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