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Paper Abstract and Keywords
Presentation 2014-05-22 14:40
Computer-aided detection system of early CT signs in acute cerebral infarction
Yuzuho Yamaguchi, Takeshi Hara (Gifu Univ.), Keiji Sakashita (Senshu TCCC), Xiangrong Zhou, Chisako Muramatsu, Hiroshi Fujita (Gifu Univ.) SIP2014-3 IE2014-3 PRMU2014-3 MI2014-3
Abstract (in Japanese) (See Japanese page) 
(in English) Acute cerebral infarctions (ACI) are typical fatal disorder in emergency medical care. Admission of recombinant tissue plasminogen activator (rt-PA) agent is the most effective treatment for ACI. The image diagnosis of early CT signs (ECS) are important to determine whether the agent is admit or not. The purpose of this study was clarify the effectiveness of computer-aided detection system of ECS for radiological technologists (RTs) and physicians. This computed approach was evaluated the by observer performance tests of three groups of physicians (6 board-certified radiologists/emergency medical care expert), radiological technologist A (5 expert RTs, > 5yrs. RT-A), and radiological technologist B (5 novice RTs, <=2 yrs. RT-B). Sixty cases of normal brain were used to construct the normal brain model to estimate the Z-scores of patients' CT images. Another 48 patients' cases were used to evaluate our scheme. After the observer performance test for the three groups, the average of area-under-the-curve (AUC) without/with computer outputs were 0.89/0.97 in the physician group, 0.89/0.97 in the RT-A, 0.75/0.91 in the RT-B. The DBM-MRMC results shows the statistical significance between all groups (P<0.05).
Keyword (in Japanese) (See Japanese page) 
(in English) Computer-aided Diagnosis / CT / ECS / / / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 42, MI2014-3, pp. 9-13, May 2014.
Paper # MI2014-3 
Date of Issue 2014-05-15 (SIP, IE, PRMU, MI) 
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 SIP2014-3 IE2014-3 PRMU2014-3 MI2014-3

Conference Information
Committee PRMU MI IE SIP  
Conference Date 2014-05-22 - 2014-05-23 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To MI 
Conference Code 2014-05-PRMU-MI-IE-SIP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Computer-aided detection system of early CT signs in acute cerebral infarction 
Sub Title (in English)  
Keyword(1) Computer-aided Diagnosis  
Keyword(2) CT  
Keyword(3) ECS  
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1st Author's Name Yuzuho Yamaguchi  
1st Author's Affiliation Gifu University (Gifu Univ.)
2nd Author's Name Takeshi Hara  
2nd Author's Affiliation Gifu University (Gifu Univ.)
3rd Author's Name Keiji Sakashita  
3rd Author's Affiliation Senshu Trauma and Critical Care Center (Senshu TCCC)
4th Author's Name Xiangrong Zhou  
4th Author's Affiliation Gifu University (Gifu Univ.)
5th Author's Name Chisako Muramatsu  
5th Author's Affiliation Gifu University (Gifu Univ.)
6th Author's Name Hiroshi Fujita  
6th Author's Affiliation Gifu University (Gifu Univ.)
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Speaker Author-1 
Date Time 2014-05-22 14:40:00 
Presentation Time 30 minutes 
Registration for MI 
Paper # SIP2014-3, IE2014-3, PRMU2014-3, MI2014-3 
Volume (vol) vol.114 
Number (no) no.39(SIP), no.40(IE), no.41(PRMU), no.42(MI) 
Page pp.9-13 
#Pages 5 
Date of Issue 2014-05-15 (SIP, IE, PRMU, MI) 

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