[Retracted] Efficient COVID-19 CT Scan Image Segmentation by Automatic Clustering Algorithm

Table 6

Quantitative metrics by WOA.

Image	Accuracy	Sensitivity	Specificity	Precision	F_measure	Gmean	SSIM
SImg 1	0.9324	0.9006	0.9355	0.5687	0.6971	0.9178	0.8286
SImg 2	0.9149	0.9076	0.9169	0.7481	0.8201	0.9122	0.6945
SImg 3	0.8815	0.4835	0.9998	0.8627	0.6197	0.6953	0.9568
SImg 4	0.9862	0.6705	0.9926	0.6780	0.6742	0.8158	0.9120
SImg 5	0.8866	0.6069	0.9012	0.5425	0.5729	0.7395	0.7699
SImg 6	0.7578	0.7017	0.6026	0.5663	0.6268	0.6503	0.6104
SImg 7	0.9046	0.4396	0.9141	0.7950	0.5661	0.6339	0.7440
SImg 8	0.9693	0.8207	0.9903	0.3343	0.4751	0.9015	0.9582
SImg 9	0.9275	0.9231	0.9051	0.5976	0.7255	0.9140	0.7470
SImg 10	0.9628	0.7893	0.9696	0.5044	0.6154	0.8748	0.8359
SImg 11	0.9705	0.9246	1	1	0.9608	0.9615	0.7500
SImg 12	0.9905	0.9796	1	1	0.9897	0.9897	0.7900
SImg 13	0.9894	1	0.9715	0.9834	0.9916	0.9856	0.9037
SImg 14	0.9172	0.8627	1	1	0.9263	0.9288	0.8163
SImg 15	0.9720	1	0.9439	0.9471	0.9728	0.9715	0.6242
Avg,	0.9309	0.8007	0.9362	0.7419	0.7489	0.8595	0.7961

Bold entries represent the average value of 15 images.