Detection of Mammograms Using Honey Bees Mating Optimization Algorithm (M-HBMO)

Abstract

Mammography is the best available technique used by radiologists for screening early detection of breast cancer. In digital mammography the crisis of finding efficient and precise breast profile segmentation technique is time-consuming. In this research work, a novel hybrid method named M-HBMO (Mammogram based Honey Bees Mating Optimization) algorithm has been proposed to segment the lesion. The cancer profile segmentation is based on texture feature and extraction of the lesion. The M-HBMO is evaluated with conventional ROI (region of interest) Algorithm. The experiment is conducted with MRI images retrieved from the medical hospital database. The result proves that the M-HBMO method segments the breast region accurately correspond to respective MRI images.