A Method of Bubble Removal for Computer-Assisted Diagnosis of Capsule Endoscopic Images

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• 作者：Masato Suenaga (23)
  Yusuke Fujita (23)
  Shinichi Hashimoto (24)
  Terai Shuji (24)
  Isao Sakaida (24)
  Yoshihiko Hamamoto (23)
  
• 关键词：Capsule Endoscopy ; Computer ; aided Region Detection ; Filtering
• 刊名：Lecture Notes in Computer Science
• 出版年：2014
• 出版时间：2014
• 年：2014
• 卷：8482
• 期：1
• 页码：228-233
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• 作者单位：Masato Suenaga (23)
  Yusuke Fujita (23)
  Shinichi Hashimoto (24)
  Terai Shuji (24)
  Isao Sakaida (24)
  Yoshihiko Hamamoto (23)
  
  23. Graduate School of Medicine, Yamaguchi University, 2-16-1, Tokiwadai, Ube, Yamaguchi, Japan
  24. Graduate School of Medicine, Yamaguchi University, 1-1-1, Minamikogushi, Ube, Yamaguchi, Japan
  
• ISSN：1611-3349

文摘

Capsule endoscopy can take tens of thousands of pictures at one examination, and it is impossible for physicians to diagnose such huge number of pictures. Thus, studies of computer-assisted diagnosis of capsule endoscopic images have been conducted. Computer-assisted diagnosis includes detection of lesion areas. Besides lesion areas, capsule endoscopic images contain areas of residue, intestinal juice, and bubbles, which can be an obstacle to diagnosis of the intestinal wall. To improve the performance of diagnosis, we propose a method of removing bubbles in capsule endoscopic images. Experimental results show that the proposed method works well.