中国医疗设备2018，Vol.33Issue(6)：6-11,6.DOI:10.3969/j.issn.1674-1633.2018.06.002
计算机图像识别在白血病形态学诊断中的应用
Application of Computer Aided Image Classification in Leukemia Morphology Diagnosis
摘要
Abstract
The classification and count of blood cells has a great value in the diagnosis and assessment of leukemia. Traditional manual microscopic examination of blood samples has drawbacks such as strenuous and time-consuming, with high dependence on the operator's skill. Blood cell analyzer and flow cytometer are fast and accurate, but they can not detect morphological abnormalities of cells. Computer aided image classification technology can provide cellular morphological information. This paper reviewed the basic process and related techniques in blood cell classification and their application in leukemia cytodiagnosis. Based on these information, we will improve the algorithm and extend it to the identification of bone marrow cells, thereby laying a foundation for further realization of automatic classification of bone marrow cells.关键词
图像识别/图像分割/计算机辅助诊断技术/白血病/白细胞分类Key words
image recognition/image segmentation/computer aided diagnosis/leukemia/classification of ceukocyte分类
医药卫生引用本文复制引用
顾桂颖,刘景鑫,石张镇,陈明欣,白元松..计算机图像识别在白血病形态学诊断中的应用[J].中国医疗设备,2018,33(6):6-11,6.基金项目
国家重点研发计划(2016YFC0103500) （2016YFC0103500）
吉林省省校共建项目(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）
吉林大学白求恩计划B项目(2012201).通讯作者:白元松,主任医师、教授、硕士生导师,主要研究方向为血液系统疾病及肿瘤的诊治. （2012201）
