Ji Lin, Hui Bei, Wu Shuang
Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2011 Jun;28(3):475-8.
Breast cancer is one of the most popular malignant diseases of women in contemporary times. How to improve the accuracy in diagnosis of breast cancer is currently a hot topic. Mammography has been widely used in screening of breast cancer and many computer aided diagnose (CAD) technologies have been developed to help radiologists to improve the diagnostic performance. We collected the data of 118 cases in the experiments in West China Hospital. Our experiment validaeeult of experiment showed that Bayesian classification model could classify mammography effectively.
乳腺癌是当代女性中最常见的恶性疾病之一。如何提高乳腺癌的诊断准确性是当前的一个热门话题。乳腺X线摄影已广泛应用于乳腺癌筛查，并且已经开发了许多计算机辅助诊断（CAD）技术来帮助放射科医生提高诊断性能。我们收集了华西医院118例实验数据。我们的实验结果表明，贝叶斯分类模型可以有效地对乳腺X线摄影进行分类。
