会议专题

The Research on Diagnosis by Mammography basing on Bayesian Classification

Breast cancer is the womens common diseases in the world. How to improving the early diagnosis of breast cancer is very important At present, many methods are used in diagnosis of the breast cancer, for example, ultrasonography and CT. They have some advantage, but they also have some disadvantages. Mammography is the most effective method for breast cancer screening available today. In this paper, a computer aid diagnosis model is proposed basing on Bayesian Classification model because of its effective, good efficiency. At last, we find this system has more effective on diagnosis by mammography through experiment

bayesian diagnosis mammography

Bei Hui Lin Ji PengCheng Xie

School of Computer Science and Engineering, University of Electronic Science and Technology of China Department of radiology, West china hospital, SiChuan University, 37 Guo Xue Xiang, ChengDu, 610041

国际会议

The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

太原

英文

490-493

2010-10-22(万方平台首次上网日期,不代表论文的发表时间)