Automated multimodal segmentation of an abnormal breast mass in mammogram.

A lot of computer-aided diagnosis systems have been attempted to segment automatically breast mass from a mammogram and to classify the mass as benign and malignant quantitatively. This study aimed to develop an automated computer-aided diagnosis system to evaluate the disease with high accuracy using the proposed multimodal segmentation algorithm when compared to an abnormal breast mass region outlined in mammogram by radiologists of American College of Radiology as "standard." In this study, a total number of 150 mammograms were downloaded from the DDSM database for screening mammography.