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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
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
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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Conference Information
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  
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 
Date of Issue 2018-02-08 (ITS, IE) 

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