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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MI2014-61 |
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) |
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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 |
Author-1 |
Date Time |
2015-03-02 10:54:00 |
Presentation Time |
12 minutes |
Registration for |
MI |
Paper # |
MI2014-61 |
Volume (vol) |
vol.114 |
Number (no) |
no.482 |
Page |
pp.45-48 |
#Pages |
4 |
Date of Issue |
2015-02-23 (MI) |
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