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

Table 5

Comparative study of existing and proposed model.

Methodology	Datasets	Sensitivity (%)	Specificity (%)	Accuracy (%)
U-Net [20]	DDSM	92.32	80.47	85.95
EML [24]	DDSM	—	—	91.07
	MIAS	—	—	85
Dense-U-Net with attention gates [25]	DDSM	77.89	84.69	78.38
Hybridization of GWO and rough set [27]	MIAS	—	—	96.4
Versatile Duck Traveler Optimization [28]	DDSM	—	—	93
	MIAS	—	—	86.7
Proposed multilevel multiobjective EML model	DDSM	92.39	99.21	98.68
	MIAS	92.11	99.45	98.93