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Paper Abstract and Keywords
Presentation 2022-02-21 15:50
Statistical Analysis on Estimation of Laparoscopic Image Region of Interest Including Contrast Enhancement Based on Saliency Map
Norifumi Kawabata (Hokkaido Univ.), Toshiya Nakaguchi (Chiba Univ.) ITS2021-34 IE2021-43
Abstract (in Japanese) (See Japanese page) 
(in English) In the medical field such as hospital, there are many chance for medical workers to see medical images visually. Therefore, it is needed where body regions, where the importance information they gaze. Of course, medical workers judge from their knowledge as one of methods. However, if it is possible to present some clues for Region Of Interest (ROI) by using computer in advance, we consider that it is possible to carry out the computer aided diagnosis. In this paper, before and after processing of contrast enhancement for laparoscopic images, first we carried out experiments how estimation region for ROI is changed using saliency map. Next, for estimation of ROI, we measured area in an image, and then we visualized experimental result by calculating numerical value in detail. Finally, from experimental result and visualization obtained in this study, we analyzed statistically, and then discussed for overall.
Keyword (in Japanese) (See Japanese page) 
(in English) Laparoscopic Image / Contrast Enhancement / Region Of Interest (ROI) / Saliency Map / Visual Attention / Area / Statistical Analysis /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 374, IE2021-43, pp. 55-60, Feb. 2022.
Paper # IE2021-43 
Date of Issue 2022-02-14 (ITS, IE) 
ISSN Online edition: ISSN 2432-6380
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 ITS2021-34 IE2021-43

Conference Information
Conference Date 2022-02-21 - 2022-02-22 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Image Processing, etc. 
Paper Information
Registration To IE 
Conference Code 2022-02-IE-ITS-AIT-ME-MMS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Statistical Analysis on Estimation of Laparoscopic Image Region of Interest Including Contrast Enhancement Based on Saliency Map 
Sub Title (in English)  
Keyword(1) Laparoscopic Image  
Keyword(2) Contrast Enhancement  
Keyword(3) Region Of Interest (ROI)  
Keyword(4) Saliency Map  
Keyword(5) Visual Attention  
Keyword(6) Area  
Keyword(7) Statistical Analysis  
1st Author's Name Norifumi Kawabata  
1st Author's Affiliation Hokkaido University (Hokkaido Univ.)
2nd Author's Name Toshiya Nakaguchi  
2nd Author's Affiliation Chiba University (Chiba Univ.)
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Speaker Author-1 
Date Time 2022-02-21 15:50:00 
Presentation Time 15 minutes 
Registration for IE 
Paper # ITS2021-34, IE2021-43 
Volume (vol) vol.121 
Number (no) no.373(ITS), no.374(IE) 
Page pp.55-60 
Date of Issue 2022-02-14 (ITS, IE) 

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