Improvement of mass detection in mammogram using multi-view information
Xiaoming Liu, Ting Zhu, Leilei Zhai, Jun Liu · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2016
Computer-aided diagnosis (CAD) system is helpful for lesion detection. In this study, we proposed a new mass detection method with analysis of bilateral mammograms. First of all, the mass candidates were detected in single view. To utilize the information in dual view, we match corresponding regions in mediolateral oblique (MLO) and craniocaudally (CC) views of the breast. In this paper, we introduced twin support vector machines (TWSVM) as classifier for mass detection, and proposed a new method for feature selection called multiple twin support vector machines (MTWSVM-RFE) to improve the accuracy of detection.