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  • 标题:Empirical Comparison of Visual Descriptors for Ulcer Recognition in Wireless Capsule Endoscopy Video
  • 本地全文:下载
  • 作者:Ouiem Bchir ; Mohamed Maher Ben Ismail ; Nourah AL_Aseem
  • 期刊名称:Computer Science & Information Technology
  • 电子版ISSN:2231-5403
  • 出版年度:2018
  • 卷号:8
  • 期号:5
  • 页码:01-09
  • DOI:10.5121/csit.2018.80501
  • 出版社:Academy & Industry Research Collaboration Center (AIRCC)
  • 摘要:In this work, we empirically compare the performance of various visual descriptors for ulcerdetection using real Wireless Capsule Endoscopy WCE video frames. This comparison isintended to determine which visual descriptor represents better WCE frames, and yields moreaccurate gastrointestinal ulcer detection. The extracted visual descriptors are fed to the ulcerrecognition system which relies on Support Vector Machine (SVM) classification to categorizeWCE frames as “ulcer” or “non-ulcer”.
  • 关键词:Visual descriptors; Ulcer detection; Wireless Capsule Endoscopy.
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