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从美国的很多研究结果显示:美国妇女的乳腺癌发病率和很多因素有关。这些因素包括妇女的年龄,乳腺癌的家史,个人乳腺癌病史,个人乳腺良性增生病史,以及第一次来月经的时间以及生产的年龄。同时研究还显示,反应在乳腺影像上的乳腺组织密度增加也会提高乳腺癌发病率的增长。本文使用计算机图像识别的方法研究乳腺组织结构,找出与乳腺癌发病率有关的X-光照片上影像的特征并用这些特征预测乳腺癌发病的几率。
Many studies from the United States show that: The incidence of breast cancer in U.S. women is related to many factors. These factors include the age of the woman, the family history of breast cancer, a history of personal breast cancer, a history of benign breast cancer, and the time of first menstruation and the age of birth. At the same time, research has also shown that increased breast tissue response to breast imaging also increases the incidence of breast cancer. In this paper, we use computer image recognition to study the structure of breast tissue to find the features of the images on radiographs related to the incidence of breast cancer and use these features to predict the incidence of breast cancer.