Design of Metaheuristic Optimization-Based Vascular Segmentation Techniques for Photoacoustic Images

Table 2

Result analysis of MLOT with three optimization algorithms.

No. of runs	Dice coefficient	IoU	Sensitivity	Accuracy
MLOT-CS
Run-1	85.31	72.25	95.80	98.25
Run-2	86.01	72.93	96.70	98.45
Run-3	86.51	73.82	97.60	98.55
Run-4	87.11	74.81	98.20	98.95
Run-5	87.81	75.35	98.90	99.16
Average	86.55	73.83	97.44	98.67
MLOT-EO
Run-1	85.31	72.25	96.15	98.00
Run-2	86.21	73.25	96.95	98.18
Run-3	87.21	73.85	97.65	98.78
Run-4	87.91	74.85	98.45	99.10
Run-5	88.71	75.65	98.96	99.14
Average	87.07	73.97	97.63	98.64
MLOT-HS
Run-1	85.41	72.60	96.97	98.01
Run-2	86.41	73.50	97.73	98.54
Run-3	86.91	74.30	98.12	98.90
Run-4	87.91	75.30	99.05	98.97
Run-5	88.81	75.80	99.25	99.13
Average	87.09	74.30	98.22	98.71