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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.)
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. ITE Tech. Rep.
Paper #  
Date of Issue  
ISSN Print edition: ISSN 1342-6893  Online edition: ISSN 2424-1970
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Conference Information
Committee AIT ME MMS IEICE-IE IEICE-ITS  
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)  
Paper Information
Registration To IEICE-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  
Keyword(8)  
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
Date Time 2022-02-21 15:50:00 
Presentation Time 15 
Registration for IEICE-IE 
Paper #  
Volume (vol) ITE-46 
Number (no)  
Page  
#Pages ITE- 
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