基于显微图像的乳腺癌细胞识别系统设计  

Breast Cancer Cell Recognition System Based on Microscopic Image

作　　者：刘国华 闫克丁 邢静[1] 马国军 刘静 陈艳丽 Liu Guohua;Yan Keding;Xing Jing;Ma Guojun;Liu Jing;Chen Yanli(School of Intelligent Science and Information Engineering,Xi’an Peihua University,Xi’an 710025,Shaanxi,China;School of Electronic Information Engineering,Xi’an Technological University,Xi’an 710021,Shaanxi,China)

机构地区：[1]西安培华学院智能科学与信息工程学院,陕西西安710025 [2]西安工业大学电子信息工程学院,陕西西安710021

出　　处：《激光与光电子学进展》2024年第8期268-274,共7页Laser & Optoelectronics Progress

摘　　要：目前,病理专家通过肉眼识别显微镜视场下乳腺癌病理切片图像中的乳腺癌细胞具有很强的主观性。因此,设计了一款基于显微图像的乳腺癌细胞识别系统,该系统包括显微图像采集模块和乳腺癌细胞识别算法实现模块。通过USAF 1951分辨率测试板验证设计的乳腺癌细胞识别系统显微图像采集模块,最终的成像分辨率可以达到2.19μm。通过多组乳腺癌病理图像验证所提乳腺癌细胞识别算法,结果表明设计的乳腺癌细胞识别系统识别乳腺癌细胞的平均准确率达到93.4%。At present,it is highly subjective for pathologists to identify breast cancer cells in pathological cut images of breast cancer under microscope field of view by naked eyes.Therefore,we design a microscopic image based breast cancer cell recognition system,which includes microscopic image acquisition module and breast cancer cell recognition algorithm implementation module.Through USAF 1951 resolution test board,the microscopic image acquisition module of designed breast cancer recognition system is verified,and the final imaging resolution can reach 2.19μm.In addition,the designed breast cancer cell recognition algorithm is verified by multiple sets of breast cancer pathological images,and the results show that the average accuracy of the designed breast cancer cell recognition system reaches 93.4%.

关 键 词：乳腺癌 图像采集 显微图像 细胞识别 

分 类 号：TH742.9[机械工程—光学工程] TP29[机械工程—仪器科学与技术]