中国医疗设备2018，Vol.33Issue(1)：20-23,33,5.DOI:10.3969/j.issn.1674-1633.2018.01.005
基于双层信息融合的乳腺切片癌细胞识别
Recognition of Breast Section Cancer Cells Based on Double-Layer Information Fusion
摘要
Abstract
The image of histological sections is important for cancer diagnosis and has been widely used in the medical work and scientific research. The traditional techniques of histological sections cancer diagnosis mainly rely on the personal experience of the doctor, which is time-consuming, and the results of the diagnosis are easy to be biased. In this paper, we proposed a recognition method of breast section cancer cells based on the computer pattern recognition technologies. This method can effectively fuse a variety of feature information of breast section cell image and combine the decision of the multiple classifiers to improve the accuracy of breast cancer cells recognition.关键词
癌细胞识别/特征层信息融合/决策层信息融合/计算机辅助诊断/人工智能Key words
cancer cell recognition/feature fusion/classifier fusion/computer aided diagnosis/artificial intelligence分类
医药卫生引用本文复制引用
刘景鑫,张同舟,郑彩侠,张磊超,徐慧,孔俊..基于双层信息融合的乳腺切片癌细胞识别[J].中国医疗设备,2018,33(1):20-23,33,5.基金项目
国家重点研发计划(2016YFC0103500) （2016YFC0103500）
国家自然科学基金(61702092 （）
61672150) （）
中央高校基本科研业务费(2412017QD029) （2412017QD029）
吉林省省校共建(SXGJXX2017-5) （SXGJXX2017-5）
吉林大学高层次科技创新团队建设项目(2017TD-27) （2017TD-27）
中国博士后科学基金(2017M621193). （2017M621193）
