[Retracted] Segmentation of Breast Masses in Mammogram Image Using Multilevel Multiobjective Electromagnetism-Like Optimization Algorithm

Table 2

Experimental evaluation of proposed and existing models in terms of sensitivity, accuracy, and specificity on DDSM database.

DDSM	Methodology	Sensitivity (%)	Specificity (%)	Accuracy (%)
Benign	-means	81.32	88.15	88.82
	FCM	83.45	89.77	89.13
	EML OTSU	85.54	94.15	94.12
	EML Kapur	75.87	88.97	89.61
	Proposed multilevel multiobjective EML model	92.2	99.12	98.65
Malignant	-means	77.03	87.28	95.99
	FCM	69.98	84.33	95.08
	EML OTSU	76.57	87.26	87.68
	EML Kapur	68.91	82.67	85.34
	Proposed multilevel multiobjective EML model	92.58	99.31	98.72