title: [The research of mammography based on Bayesian classification].
abstract: 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.
authors.affiliation: Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China. ilin2@sina.com
authors.forename: Lin
authors.initials: L
authors.lastname: Ji
authors.forename: Bei
authors.initials: B
authors.lastname: Hui
authors.forename: Shuang
authors.initials: S
authors.lastname: Wu
mesh_terms: D001499:Bayes Theorem; D001943:Breast Neoplasms / Q000000981:diagnostic imaging*; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D055088:Early Detection of Cancer; D005260:Female; D006801:Humans; D008327:Mammography / Q000145:classification / Q000379:methods*; D015233:Models, Statistical