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 |
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) |
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ITS2021-34 IE2021-43 |
Conference Information |
Committee |
IE ITS ITE-AIT ITE-ME ITE-MMS |
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) |
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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) |
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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 |
#Pages |
6 |
Date of Issue |
2022-02-14 (ITS, IE) |
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