• 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

无线胶囊内镜视频中小肠息肉和溃疡的检测。

Detection of small bowel polyps and ulcers in wireless capsule endoscopy videos.

机构信息

National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA.

出版信息

IEEE Trans Biomed Eng. 2011 Oct;58(10):2777-86. doi: 10.1109/TBME.2011.2155064. Epub 2011 May 16.

DOI:10.1109/TBME.2011.2155064
PMID:21592915
Abstract

Over the last decade, wireless capsule endoscopy (WCE) technology has become a very useful tool for diagnosing diseases within the human digestive tract. Physicians using WCE can examine the digestive tract in a minimally invasive way searching for pathological abnormalities such as bleeding, polyps, ulcers, and Crohn's disease. To improve effectiveness of WCE, researchers have developed software methods to automatically detect these diseases at a high rate of success. This paper proposes a novel synergistic methodology for automatically discovering polyps (protrusions) and perforated ulcers in WCE video frames. Finally, results of the methodology are given and statistical comparisons are also presented relevant to other works.

摘要

在过去的十年中,无线胶囊内镜 (WCE) 技术已成为诊断人体消化道疾病的非常有用的工具。使用 WCE 的医生可以以微创的方式检查消化道,寻找出血、息肉、溃疡和克罗恩病等病理异常。为了提高 WCE 的有效性,研究人员已经开发了软件方法,以高成功率自动检测这些疾病。本文提出了一种新颖的协同方法,用于自动发现 WCE 视频帧中的息肉(突起)和穿孔性溃疡。最后,给出了该方法的结果,并与其他工作进行了相关的统计比较。

相似文献

1
Detection of small bowel polyps and ulcers in wireless capsule endoscopy videos.无线胶囊内镜视频中小肠息肉和溃疡的检测。
IEEE Trans Biomed Eng. 2011 Oct;58(10):2777-86. doi: 10.1109/TBME.2011.2155064. Epub 2011 May 16.
2
Three-dimensional reconstruction of the digestive wall in capsule endoscopy videos using elastic video interpolation.使用弹性视频插补技术对胶囊内镜视频中的消化道壁进行三维重建。
IEEE Trans Med Imaging. 2011 Apr;30(4):957-71. doi: 10.1109/TMI.2010.2098882. Epub 2010 Dec 10.
3
Automatic lesion detection in capsule endoscopy based on color saliency: closer to an essential adjunct for reviewing software.基于颜色显著性的胶囊内镜自动病变检测:更接近用于回顾软件的重要辅助手段。
Gastrointest Endosc. 2014 Nov;80(5):877-83. doi: 10.1016/j.gie.2014.06.026. Epub 2014 Aug 1.
4
Automatic detection of informative frames from wireless capsule endoscopy images.无线胶囊内窥镜图像中信息帧的自动检测。
Med Image Anal. 2010 Jun;14(3):449-70. doi: 10.1016/j.media.2009.12.001. Epub 2010 Jan 4.
5
Tumor recognition in wireless capsule endoscopy images using textural features and SVM-based feature selection.基于纹理特征和支持向量机特征选择的无线胶囊内镜图像肿瘤识别
IEEE Trans Inf Technol Biomed. 2012 May;16(3):323-9. doi: 10.1109/TITB.2012.2185807. Epub 2012 Jan 24.
6
Reduction of capsule endoscopy reading times by unsupervised image mining.无监督图像挖掘可减少胶囊内镜的阅读时间。
Comput Med Imaging Graph. 2010 Sep;34(6):471-8. doi: 10.1016/j.compmedimag.2009.11.005. Epub 2009 Dec 6.
7
BP neural network classification for bleeding detection in wireless capsule endoscopy.用于无线胶囊内镜出血检测的BP神经网络分类
J Med Eng Technol. 2009;33(7):575-81. doi: 10.1080/03091900903111974.
8
Saliency based ulcer detection for wireless capsule endoscopy diagnosis.基于显著性的无线胶囊内窥镜诊断溃疡检测。
IEEE Trans Med Imaging. 2015 Oct;34(10):2046-57. doi: 10.1109/TMI.2015.2418534. Epub 2015 Apr 2.
9
Wireless capsule endoscopy and endoscopic imaging: a survey on various methodologies presented.无线胶囊内镜与内镜成像:对所展示的各种方法的综述。
IEEE Eng Med Biol Mag. 2010 Jan-Feb;29(1):72-83. doi: 10.1109/MEMB.2009.935466.
10
A comparative study of shape features for polyp detection in wireless capsule endoscopy images.无线胶囊内镜图像中息肉检测形状特征的比较研究
Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:3731-4. doi: 10.1109/IEMBS.2009.5334875.

引用本文的文献

1
Utilizing Deep Convolutional Neural Networks and Hybrid Classification for Gastrointestinal Disease Diagnosis from Capsule Endoscopy Images.利用深度卷积神经网络和混合分类方法从胶囊内镜图像诊断胃肠疾病
J Biomed Phys Eng. 2025 Aug 1;15(4):369-384. doi: 10.31661/jbpe.v0i0.2301-1590. eCollection 2025 Aug.
2
Computer-Aided Bleeding Detection Algorithms for Capsule Endoscopy: A Systematic Review.计算机辅助胶囊内镜下出血检测算法:系统评价。
Sensors (Basel). 2023 Aug 14;23(16):7170. doi: 10.3390/s23167170.
3
Application Status and Prospects of Artificial Intelligence in Peptic Ulcers.
人工智能在消化性溃疡中的应用现状与前景
Front Surg. 2022 Jun 16;9:894775. doi: 10.3389/fsurg.2022.894775. eCollection 2022.
4
Video Capsule Endoscopy in Gastroenterology.胃肠病学中的视频胶囊内镜检查
Gastroenterology Res. 2022 Apr;15(2):47-55. doi: 10.14740/gr1487. Epub 2022 Apr 12.
5
Computer-Aided Diagnosis of Gastrointestinal Protruded Lesions Using Wireless Capsule Endoscopy: A Systematic Review and Diagnostic Test Accuracy Meta-Analysis.使用无线胶囊内镜对胃肠道突出性病变进行计算机辅助诊断:系统评价与诊断试验准确性的Meta分析
J Pers Med. 2022 Apr 17;12(4):644. doi: 10.3390/jpm12040644.
6
Computer-Aided Diagnosis of Gastrointestinal Ulcer and Hemorrhage Using Wireless Capsule Endoscopy: Systematic Review and Diagnostic Test Accuracy Meta-analysis.基于无线胶囊内镜的胃肠道溃疡及出血的计算机辅助诊断:系统评价和诊断试验准确性的 Meta 分析。
J Med Internet Res. 2021 Dec 14;23(12):e33267. doi: 10.2196/33267.
7
Artificial Intelligence in Capsule Endoscopy: A Practical Guide to Its Past and Future Challenges.胶囊内镜中的人工智能:应对其过往与未来挑战的实用指南
Diagnostics (Basel). 2021 Sep 20;11(9):1722. doi: 10.3390/diagnostics11091722.
8
Artificial intelligence in small intestinal diseases: Application and prospects.人工智能在小肠疾病中的应用及前景
World J Gastroenterol. 2021 Jul 7;27(25):3734-3747. doi: 10.3748/wjg.v27.i25.3734.
9
Kvasir-Capsule, a video capsule endoscopy dataset.卡瓦西胶囊内镜数据集
Sci Data. 2021 May 27;8(1):142. doi: 10.1038/s41597-021-00920-z.
10
GASTRO-CADx: a three stages framework for diagnosing gastrointestinal diseases.GASTRO-CADx:一种用于诊断胃肠道疾病的三阶段框架。
PeerJ Comput Sci. 2021 Mar 10;7:e423. doi: 10.7717/peerj-cs.423. eCollection 2021.