Medical Imaging Lesion Detection Based on Unified Gravitational Fuzzy Clustering

Table 2

Performance criteria of the proposed method applied on low-grade/high-grade images from Kitware: Dice, Jaccard, sensitivity, and specificity score.

ID	Dice	Jaccard	Sensitivity	Specificity
KIT001	0.742	0.611	0.793	0.999
KIT002	0.843	0.703	0.852	1
KIT003	0.798	0.731	0.884	1
KIT004	0.738	0.601	0.785	0.993
KIT005	0.913	0.852	0.908	1
KIT006	0.822	0.765	0.925	1
KIT007	0.877	0.797	0.932	1
KIT008	0.932	0.868	0.958	1
KIT009	0.668	0.526	0.790	0.994
KIT010	0.880	0.798	0.912	1
KIT011	0.929	0.862	0.947	1
KIT012	0.757	0.630	0.818	0.999
KIT013	0.862	0.756	0.924	1
KIT014	0.893	0.828	0.939	1
KIT015	0.971	0.890	0.975	1
KIT016	0.778	0.661	0.792	1
KIT017	0.832	0.758	0.922	1
KIT018	0.840	0.748	0.852	1
KIT019	0.952	0.898	0.968	1
KIT020	0.722	0.665	0.825	0.996
KIT021	0.852	0.795	0.925	1
KIT022	0.902	0.838	0.928	1
KIT023	0.834	0.769	0.923	1
KIT024	0.898	0.841	0.944	1
KIT025	0.618	0.478	0.750	0.992
Mean	0.834	0.747	0.887	0.999
Standard deviation	0.088	0.112	0.067	0.002