Journals Proceedings

Abstract

Breast cancer has become one of the most dangerous carcinomas for middle-aged and older women in all over the world recently [2]. Early detection of breast cancer increases the survival rate and increases the treatment options. Mammography is the most reliable detection method used in the clinic, and computer-aided diagnosis (CAD) could assist the radiologists in reading the mammograms [4]. In this paper, a new algorithm based on adaptive thresholding for classification and detection of suspicious masses in mammograms is described. The related work was implemented using image processing tools, and using the MATLAB.