Mammogram is the widely accepted imaging method used for screening breast cancer. Computer aided detection (CAD) systems intend to provide assistance to the radiologists in detecting breast cancer. However the detection of masses by CAD system is prone to a high rate of false positives. Radiologists often use bilateral analysis ie, symmetry between left and right breast to improve detection performance. In this work, a computer aided bilateral image analysis based on eigen region of interest (ROI) approach is used in order to reduce the false positive rate. It has been found that the proposed method outperforms the conventional false positive reduction techniques.
Dr. Lavanya R., Sunith, G. N., Pradeep, S., DivyaBonagiri,, Anusha, A., and AbhipsaSamantra, “Computer Aided Detection and Diagnosis of Masses in Dense Tissue Breasts”, Proceedings of International Conference on Information Technology, Electronics & Communications. 2012.