Breast Cancer Segmentation Using Bacterial Foraging Algorithm
Rash Bihari Dubey, Sujata Bhatia, Madasu Hanmandlu, Shantaram Vasikarla · 2013
A new multilevel thresholding technique using bacterial foraging is proposed for the first time for the segmentation of masses in digital mammograms. The optimal thresholds are found by maximizing Kapur's entropy and also Otsu's thresholding function using BF algorithm. The performance of the proposed algorithm has been evaluated on 20 malignant mammogram images and the results are promising.