[1]何文军,李 曼,李 涛,等.基于血细胞形态识别的自动检测系统的研发[J].现代检验医学杂志,2019,34(02):104-108.[doi:10.3969/j.issn.1671-7414.2019.02.027]
　E Wen-jun,LI Man,LI Tao,et al.Study on Automatic Detection System Baseon Blood Cell Morphology Recognition[J].Journal of Modern Laboratory Medicine,2019,34(02):104-108.[doi:10.3969/j.issn.1671-7414.2019.02.027]
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基于血细胞形态识别的自动检测系统的研发()

《现代检验医学杂志》[ISSN:/CN:]

卷:
第34卷
期数:
2019年02期
页码:
104-108
栏目:
研究简报·实验技术
出版日期:
2019-05-11

文章信息/Info

Title:
Study on Automatic Detection System Baseon Blood Cell Morphology Recognition
文章编号:
1671-7414(2019)02-104-05
作者:
何文军,李 曼,李 涛,钟伟国,肖长周,钟彦晶,张云超,徐 宁
(广州中医药大学第二附属医院/广东省中医院,广州 510370)
Author(s):
E Wen-jun,LI Man,LI Tao,ZHONG Wei-guo,XIAO Chang-zhou,ZHONG Yan-jing,ZHANG Yun-chao,XU Ning
(the Second Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine/Guangdong Provincial Hospital of Traditional Chinese Medicine,Guangzhou 510370,China)
关键词:
血细胞形态;  自动化检测;  系统评价
分类号:
R446
DOI:
10.3969/j.issn.1671-7414.2019.02.027
文献标志码:
A
摘要:
目的 建立血细胞形态自动检测系统工作平台。方法 运用自动化控制、显微数字影像与人工智能神经网络技术,自动拍摄待检样品选定区域的显微镜放大图像,提取血细胞图像面积、边界和纹理等多种特征,对血细胞形态进行识别。结果 该系统识别白细胞的正确率95.1%,重复率0.1%,漏检率0.7%,稳定性97.7%和速度≤5min/片,该系统可估算有核红细胞、网织红细胞数量,在此基础上给出白细胞个数修正因子,同时可初步估算血小板数量,提示异常红细胞。结论 实验设计了一个完整的血细胞形态识别系统,减轻了临床的工作量,提高了检测效率。
Abstract:
Objective To establish a blood cell morphologyautomatic detection platform.Methods Using the techniques of automatic control,digital microscopic imaging and artificial intelligenceneural network, automatic shotting the selected area on the microscope magnified image of sample,then the area,boundary,texture and other characteristics were extracted to compare with blood cell in cell morphology.ResultsIn identifying WBC,the system accuracy was 95.1%,repetition rate was 0.1%,miss rate was 0.7%,the stability was 97.7%,and the read speed lessthe 5min/piece.The system could estimate reticulocyte and nucleated red bloodcell number.And then leukocyte number correction factor was given too.At the same time,he system could preliminary estimate platelet number and suggest abnormal red blood cells.Conclusion A complete blood cell morphological identification system was established wich could reduce the work load and improve the detection efficiency.

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备注/Memo

备注/Memo:
基金项目:广东省科技支撑计划资助项目(粤科规财字[2016]88号-25)。 作者简介:何文军(1967-),男,本科,副主任技师,主要从事医学检验工作,E-mail: hwj1967@163.com 。收稿日期:2017-08-09 修回日期:2019-03-03
更新日期/Last Update: 2019-04-30