• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

一种用于检测血样图像中克氏锥虫寄生虫的自动算法。

An automatic algorithm for the detection of Trypanosoma cruzi parasites in blood sample images.

机构信息

Facultad de Matemáticas, Universidad Autónoma de Yucatán, C.P. 97119, Mérida, Mexico.

出版信息

Comput Methods Programs Biomed. 2013 Dec;112(3):633-9. doi: 10.1016/j.cmpb.2013.07.013. Epub 2013 Sep 9.

DOI:10.1016/j.cmpb.2013.07.013
PMID:24028798
Abstract

Chagas disease is a tropical parasitic disease caused by the flagellate protozoan Trypanosoma cruzi (T. cruzi) and currently affecting large portions of the Americas. One of the standard laboratory methods to determine the presence of the parasite is by direct visualization in blood smears stained with some colorant. This method is time-consuming, requires trained microscopists and is prone to human mistakes. In this article we propose a novel algorithm for the automatic detection of T. cruzi parasites, in microscope digital images obtained from peripheral blood smears treated with Wright's stain. Our algorithm achieved a sensitivity of 0.98 and specificity of 0.85 when evaluated against a dataset of 120 test images. Experimental results show the versatility of the method for parasitemia determination.

摘要

恰加斯病是一种热带寄生虫病,由鞭毛原生动物克氏锥虫(Trypanosoma cruzi,T. cruzi)引起,目前影响着美洲的大部分地区。确定寄生虫存在的标准实验室方法之一是通过用某种染料染色的血涂片直接观察。这种方法既耗时,又需要经过训练的显微镜专家,而且容易出错。在本文中,我们提出了一种新的算法,用于自动检测用 Wright 染色处理的外周血涂片的显微镜数字图像中的 T. cruzi 寄生虫。我们的算法在评估 120 张测试图像的数据集时,灵敏度为 0.98,特异性为 0.85。实验结果表明该方法在寄生虫血症测定方面具有通用性。

相似文献

1
An automatic algorithm for the detection of Trypanosoma cruzi parasites in blood sample images.一种用于检测血样图像中克氏锥虫寄生虫的自动算法。
Comput Methods Programs Biomed. 2013 Dec;112(3):633-9. doi: 10.1016/j.cmpb.2013.07.013. Epub 2013 Sep 9.
2
Chagas parasite detection in blood images using AdaBoost.使用AdaBoost在血液图像中检测恰加斯寄生虫。
Comput Math Methods Med. 2015;2015:139681. doi: 10.1155/2015/139681. Epub 2015 Mar 11.
3
Trypanosoma cruzi: sensitivity of the polymerase chain reaction for detecting the parasite in the blood of mice infected with different clonal genotypes.克氏锥虫:聚合酶链反应检测不同克隆基因型感染小鼠血液中寄生虫的敏感性
Exp Parasitol. 2006 Mar;112(3):198-201. doi: 10.1016/j.exppara.2005.10.006. Epub 2005 Dec 22.
4
Trypanosoma cruzi: optimization of polymerase chain reaction for detection in human blood.克氏锥虫:用于检测人血液的聚合酶链反应的优化
Exp Parasitol. 1998 Jan;88(1):28-33. doi: 10.1006/expr.1998.4191.
5
[Estimation of the parasitemia in Trypanosoma cruzi human infection: high parasitemias are associated with severe and fatal congenital Chagas disease].[克氏锥虫人类感染中虫血症的估计:高虫血症与严重和致命的先天性恰加斯病相关]
Rev Soc Bras Med Trop. 2005;38 Suppl 2:58-61.
6
Automatic detection of the parasite in blood smears using a machine learning approach applied to mobile phone images.利用机器学习方法对手机图像进行分析,实现血液涂片寄生虫的自动检测。
PeerJ. 2022 May 27;10:e13470. doi: 10.7717/peerj.13470. eCollection 2022.
7
Evaluating pathogen reduction of Trypanosoma cruzi with riboflavin and ultraviolet light for whole blood.评估核黄素和紫外线对全血中克氏锥虫的病原体减少作用。
Transfusion. 2012 Feb;52(2):409-16. doi: 10.1111/j.1537-2995.2011.03285.x. Epub 2011 Aug 9.
8
Vertical transmission of Trypanosoma cruzi infection: quantification of parasite burden in mothers and their children by parasite DNA amplification.垂直传播的克氏锥虫感染:通过寄生虫 DNA 扩增定量检测母亲及其子女中的寄生虫负担。
Trans R Soc Trop Med Hyg. 2012 Oct;106(10):623-8. doi: 10.1016/j.trstmh.2012.03.015. Epub 2012 Jul 24.
9
Trypanosoma cruzi: specific detection of parasites by PCR in infected humans and vectors using a set of primers (BP1/BP2) targeted to a nuclear DNA sequence.克氏锥虫:使用一组靶向核DNA序列的引物(BP1/BP2),通过聚合酶链反应(PCR)在受感染的人类和病媒中特异性检测寄生虫。
Exp Parasitol. 1997 Mar;85(3):225-32. doi: 10.1006/expr.1996.4141.
10
PCR reveals significantly higher rates of Trypanosoma cruzi infection than microscopy in the Chagas vector, Triatoma infestans: high rates found in Chuquisaca, Bolivia.聚合酶链反应(PCR)显示,在恰加斯病传播媒介大劣按蚊中,克氏锥虫感染率比显微镜检查法显著更高:在玻利维亚丘基萨卡发现感染率很高。
BMC Infect Dis. 2007 Jun 27;7:66. doi: 10.1186/1471-2334-7-66.

引用本文的文献

1
Enhanced Detection of Leishmania Parasites in Microscopic Images Using Machine Learning Models.使用机器学习模型增强对显微镜图像中利什曼原虫寄生虫的检测
Sensors (Basel). 2024 Dec 21;24(24):8180. doi: 10.3390/s24248180.
2
Trajectory-driven computational analysis for element characterization in Trypanosoma cruzi video microscopy.基于轨迹的计算分析在锥虫视频显微镜中的元素特征化。
PLoS One. 2024 Jun 3;19(6):e0304716. doi: 10.1371/journal.pone.0304716. eCollection 2024.
3
Chagas parasite classification in blood sample images using different machine learning architectures.
基于不同机器学习架构的血液样本图像中克氏锥虫分类。
Med Biol Eng Comput. 2024 Jan;62(1):195-206. doi: 10.1007/s11517-023-02926-8. Epub 2023 Sep 28.
4
Automatic detection of the parasite in blood smears using a machine learning approach applied to mobile phone images.利用机器学习方法对手机图像进行分析,实现血液涂片寄生虫的自动检测。
PeerJ. 2022 May 27;10:e13470. doi: 10.7717/peerj.13470. eCollection 2022.
5
Effective residual convolutional neural network for Chagas disease parasite segmentation.有效残差卷积神经网络在恰加斯病寄生虫分割中的应用。
Med Biol Eng Comput. 2022 Apr;60(4):1099-1110. doi: 10.1007/s11517-022-02537-9. Epub 2022 Mar 1.
6
Chagas parasite detection in blood images using AdaBoost.使用AdaBoost在血液图像中检测恰加斯寄生虫。
Comput Math Methods Med. 2015;2015:139681. doi: 10.1155/2015/139681. Epub 2015 Mar 11.