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Paper Abstract and Keywords
Presentation 2016-01-19 16:41
Real time detection of bleeding region for building a hemostasis support system in laparoscopic surgery
Takayuki Okamoto, Takashi Ohnishi, Hiroshi Kawahira, Hideaki Haneishi (Chiba Univ.) MI2015-106
Abstract (in Japanese) (See Japanese page) 
(in English) Laparoscopic surgery can reduce the size of a surgical wound and lead to faster recovery. It is difficult, however, to find bleeding points because of lower visibility due to the bleeding and the narrow field of view in the laparoscope. We propose a method for hemostasis support in laparoscopic surgery using highlighting of blood regions and presenting bleeding frames in laparoscopic images. We aim to develop a hemostasis support system that can detect bleeding regions and present their laparoscopic image frames to surgeons. In this paper, we propose a bleeding detection method based on a machine learning technique. Three feature amounts are calculated from RGB value and HSV value at each pixel and the pixel is classified as either a bleeding pixel or a non-bleeding pixel by a support vector machine (SVM) in real time. When the proposed method was applied to the five laparoscopic motion pictures, more than 95% accuracy was achieved. Processing time was 5 - 10 ms/frame.
Keyword (in Japanese) (See Japanese page) 
(in English) Laparoscopic surgery / Bleeding detection / Machine learning / Support vector machine / / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 401, MI2015-106, pp. 157-160, Jan. 2016.
Paper # MI2015-106 
Date of Issue 2016-01-12 (MI) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF MI2015-106

Conference Information
Committee MI  
Conference Date 2016-01-19 - 2016-01-20 
Place (in Japanese) (See Japanese page) 
Place (in English) Bunka Tenbusu Kan 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General topics in medical imaging 
Paper Information
Registration To MI 
Conference Code 2016-01-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Real time detection of bleeding region for building a hemostasis support system in laparoscopic surgery 
Sub Title (in English)  
Keyword(1) Laparoscopic surgery  
Keyword(2) Bleeding detection  
Keyword(3) Machine learning  
Keyword(4) Support vector machine  
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1st Author's Name Takayuki Okamoto  
1st Author's Affiliation Chiba University (Chiba Univ.)
2nd Author's Name Takashi Ohnishi  
2nd Author's Affiliation Chiba University (Chiba Univ.)
3rd Author's Name Hiroshi Kawahira  
3rd Author's Affiliation Chiba University (Chiba Univ.)
4th Author's Name Hideaki Haneishi  
4th Author's Affiliation Chiba University (Chiba Univ.)
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Speaker Author-1 
Date Time 2016-01-19 16:41:00 
Presentation Time 12 minutes 
Registration for MI 
Paper # MI2015-106 
Volume (vol) vol.115 
Number (no) no.401 
Page pp.157-160 
#Pages 4 
Date of Issue 2016-01-12 (MI) 

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