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| Paper Abstract and Keywords | ||
| Presentation | 2018-02-15 15:00 A Fundamental Study on Medical Image Diagnosis for Automatic Detection of Coded Defect Region Information Norifumi Kawabata, Toshiya Nakaguchi (Chiba Univ.)  ITS2017-74 IE2017-106 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | The coded defect and degradation in the medial imaging field is each differenced for characteristics, nature, and status of use, comparing to image in the engineering field. Therefore, the automatic diagnosis system by computer is needed in addition to judgement by human eyes previously. In the medical field, development of CT, MRI is enable to film and retrieve cross-sectional body image by about 10 seconds, and they are enable to detect lesions in early stage. Particularly, new medical image diagnosis based on image processing technology in the medical engineering is needed to assist laparoscopic surgery. In this paper, we used medical images as a frame still image cut from laparoscopic video filmed endoscope. First, we encoded and decoded for these images by H.265/HEVC, and then, we assessed objectively based on PSNR considering the coded image quality whether the automatic detection of coded defect region information is possible or not. Finally, we discussed for medical image diagnosis. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Laparoscopic Image / Image Region / H.265/HEVC / PSNR (Peak Signal to Noise Ratio) / Computer-Aided Diagnosis / Medical Image Diagnosis / / | |
| Reference Info. | IEICE Tech. Rep., vol. 117, no. 432, IE2017-106, pp. 77-82, Feb. 2018. | |
| Paper # | IE2017-106 | |
| Date of Issue | 2018-02-08 (ITS, IE) | |
| 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 | ITS2017-74 IE2017-106 |
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| Conference Information | |
| Committee | ITS IE ITE-MMS ITE-HI ITE-ME ITE-AIT |
| Conference Date | 2018-02-15 - 2018-02-16 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Hokkaido Univ. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Image Processing, etc. |
| Paper Information | |
| Registration To | IE |
| Conference Code | 2018-02-ITS-IE-MMS-HI-ME-AIT |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Fundamental Study on Medical Image Diagnosis for Automatic Detection of Coded Defect Region Information |
| Sub Title (in English) | |
| Keyword(1) | Laparoscopic Image |
| Keyword(2) | Image Region |
| Keyword(3) | H.265/HEVC |
| Keyword(4) | PSNR (Peak Signal to Noise Ratio) |
| Keyword(5) | Computer-Aided Diagnosis |
| Keyword(6) | Medical Image Diagnosis |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Norifumi Kawabata |
| 1st Author's Affiliation | Chiba University (Chiba Univ.) |
| 2nd Author's Name | Toshiya Nakaguchi |
| 2nd Author's Affiliation | Chiba University (Chiba Univ.) |
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| Speaker | Author-1 |
| Date Time | 2018-02-15 15:00:00 |
| Presentation Time | 15 minutes |
| Registration for | IE |
| Paper # | ITS2017-74, IE2017-106 |
| Volume (vol) | vol.117 |
| Number (no) | no.431(ITS), no.432(IE) |
| Page | pp.77-82 |
| #Pages | 6 |
| Date of Issue | 2018-02-08 (ITS, IE) |
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