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Paper Abstract and Keywords
Presentation 2015-03-02 10:54
Image Feature Extraction and Construction of a Classifier for Discriminating Pulmonary Nodules in X-CT Images
Ryuta Mori, Takumi Naito, Hidekata Hontani (NIT), Shingo Iwano (Nagoya Univ.) MI2014-61
Abstract (in Japanese) (See Japanese page) 
(in English) In this article, the authors report about a method for classifying pulmonary nodules in three-dimensional X-CT images and about image features used for the classification. The classification method firstly segments the nodules in given three-dimensional X-CT images and then extracts nine kinds of image features that are represented by a fifty-one vector, which is input to the classifier. Given 309 training images of pulmonary nodules with five-grade evaluations, the authors constructed the classifier using a kernel SVM. Its classification ratio was about 75%. The F-score of each of the image features was evaluated and was used for selecting ons that contributed the classification well. In this article, it is reported that which images features contributed to the classification and that how the classification performance changed with respect to the change of the number of the input image features.
Keyword (in Japanese) (See Japanese page) 
(in English) Computed Aided Diagnosis / CT images / lung nodules / classification / SVM / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 482, MI2014-61, pp. 45-48, March 2015.
Paper # MI2014-61 
Date of Issue 2015-02-23 (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)
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Conference Information
Committee MI  
Conference Date 2015-03-02 - 2015-03-03 
Place (in Japanese) (See Japanese page) 
Place (in English) Hotel Miyahira 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Creation of multidisciplinary computational anatomy, Forefront of medical image engineering, General topics in medical imaging 
Paper Information
Registration To MI 
Conference Code 2015-03-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Image Feature Extraction and Construction of a Classifier for Discriminating Pulmonary Nodules in X-CT Images 
Sub Title (in English)  
Keyword(1) Computed Aided Diagnosis  
Keyword(2) CT images  
Keyword(3) lung nodules  
Keyword(4) classification  
Keyword(5) SVM  
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1st Author's Name Ryuta Mori  
1st Author's Affiliation Nagoya Institute of Technology (NIT)
2nd Author's Name Takumi Naito  
2nd Author's Affiliation Nagoya Institute of Technology (NIT)
3rd Author's Name Hidekata Hontani  
3rd Author's Affiliation Nagoya Institute of Technology (NIT)
4th Author's Name Shingo Iwano  
4th Author's Affiliation Nagoya University (Nagoya Univ.)
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Speaker
Date Time 2015-03-02 10:54:00 
Presentation Time 12 
Registration for MI 
Paper # IEICE-MI2014-61 
Volume (vol) IEICE-114 
Number (no) no.482 
Page pp.45-48 
#Pages IEICE-4 
Date of Issue IEICE-MI-2015-02-23 


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