3D Shape-Weighted Level Set Method for Breast MRI 3D Tumor Segmentation

Table 4

Accuracy, specificity, and false alarm rate (%) of the different algorithms and noise densities in 7 × 7 mask blurred computer-simulated images.

Noise density		Methods
		ACM	LSM	SLSM	3D-LSM	3D-SLSM
5%	CCR	88.22	98.5	99.16	98.87	99.21
	SP	87.65	98.42	99.63	98.82	99.25
	FAR	12.48	1.59	0.89	1.2	0.84
10%	CCR	88.67	98.67	99.12	98.96	99.23
	SP	88.14	98.62	99.66	98.93	99.29
	FAR	11.99	1.4	0.93	1.11	0.81
15%	CCR	87.42	98.74	99.09	98.99	99.19
	SP	86.82	98.69	99.65	98.97	99.27
	FAR	13.32	1.33	0.96	1.06	0.85
20%	CCR	87.72	98.88	99.04	99.13	99.3
	SP	87.15	98.85	99.68	99.15	99.43
	FAR	13	1.19	1.02	0.92	0.74
25%	CCR	87.89	98.86	98.99	99.11	99.23
	SP	87.35	98.87	99.69	99.17	99.44
	FAR	12.83	1.2	1.07	0.94	0.81
30%	CCR	86.1	98.91	98.96	99.15	99.23
	SP	85.43	98.95	99.71	99.23	99.46
	FAR	14.72	1.16	1.11	0.9	0.82
35%	CCR	86.27	98.91	98.87	99.19	99.21
	SP	85.63	99.03	99.72	99.36	99.54
	FAR	14.54	1.15	1.2	0.86	0.84
40%	CCR	86.43	99	98.74	99.2	99.21
	SP	85.79	99.18	99.73	99.44	99.64
	FAR	14.37	1.05	1.34	0.84	0.84
45%	CCR	84.41	98.94	98.63	99.16	99.13
	SP	83.7	99.24	99.75	99.57	99.73
	FAR	16.51	1.12	1.45	0.89	0.92
50%	CCR	84.29	98.94	98.52	99.1	99.12
	SP	83.55	99.37	99.78	99.66	99.66
	FAR	16.63	1.12	1.57	0.95	0.93