...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Endoscopy International Open >Development and validation of an automated algorithm to evaluate the abundance of bubbles in small bowel capsule endoscopy
【24h】

Development and validation of an automated algorithm to evaluate the abundance of bubbles in small bowel capsule endoscopy

机译：开发和验证用于评估小肠胶囊内窥镜检查中气泡丰富度的自动算法

获取原文
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Background and study aims Bubbles can impair visualization of the small bowel (SB) mucosa during capsule endoscopy (CE). We aimed to develop and validate a computed algorithm that would allow evaluation of the abundance of bubbles in SB-CE still frames. Patients and methods Two sets of 200 SB-CE normal still frames were created. Two experienced SB-CE readers analyzed both sets of images twice, in a random order. Each still frame was categorized as presenting with Results Both SURF and GLCM algorithms had high operating points (Se and Sp over 90?%) and a perfect reproducibility (κ?=?1). The validation step showed the GLCM detector strategy had the best diagnostic performances, with a Se of 95.79?%, a Sp of 95.19?%, and a calculation time of 0.037 seconds per frame. Conclusion A computed algorithm based on a GLCM detector strategy had high diagnostic performance allowing assessment of the abundance of bubbles in SB-CE still frames. This algorithm could be of interest for clinical use (quality reporting) and for research purposes (objective comparison tool of different preparations).
机译：背景和研究目的气泡会损害胶囊内窥镜检查（CE）期间小肠（SB）粘膜的可视化。我们旨在开发和验证一种计算算法，该算法可以评估SB-CE静止帧中的大量气泡。患者和方法创建了两套200 SB-CE正常静止框架。两位经验丰富的SB-CE读者以随机顺序分析了两组图像两次。每个静止帧都归类为呈现结果。SURF和GLCM算法均具有较高的工作点（Se和Sp均超过90％）和完美的可重复性（κ== 1）。验证步骤表明GLCM检测器策略具有最佳的诊断性能，Se为95.79％，Sp为95.19％，计算时间为每帧0.037秒。结论基于GLCM检测器策略的计算算法具有较高的诊断性能，可以评估SB-CE静止帧中的大量气泡。该算法可能对临床使用（质量报告）和研究目的（不同制剂的客观比较工具）很感兴趣。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号