Paper Abstract and Keywords |
Presentation |
2018-03-19 15:25
Feature-selection method based on Grassmann distance for the classification of neoplastic polyps on endocytoscopic images Hayato Itoh (Nagoya Univ.), Yuichi Mori, Masashi Misawa (Showa Univ.), Masahiro Oda (Nagoya Univ.), Shin-ei Kudo (Showa Univ.), Kensaku Mori (Nagoya Univ.) MI2017-81 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
An endocytoscope provides ultramagnified observation that enable physicians to achieve minimally invasive and real-time diagnosis in colonoscopy. However, much pathological knowledge and clinical experiences are required for this diagnosis. The computer-aided diagnosis (CAD) system that decreases overlooking of neoplastic polyps in endocytoscopy is required. Texture-feature-based classification between neoplastic and non-neoplastic images of polyps has been proposed towards the construction of the CAD system. Extracted texture feature includes worthless elements that do not contribute to classification. This worthless elements can lead classification errors. We propose feature-selection method that selects discriminative feature for two-categories classification by omitting worthless feature of texture features. We experimentally evaluated the proposed method by comparing the classification accuracy between before and after feature selection with about 19,000 endocytoscopic images. The experimental results show that our proposed method gives 2.4% higher accuracy than original texture feature. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
endocytoscopy / automated pathological diagnosis / feature selection / texture feature / manifold learning / / / |
Reference Info. |
IEICE Tech. Rep., vol. 117, no. 518, MI2017-81, pp. 51-56, March 2018. |
Paper # |
MI2017-81 |
Date of Issue |
2018-03-12 (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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MI2017-81 |
Conference Information |
Committee |
SIP EA SP MI |
Conference Date |
2018-03-19 - 2018-03-20 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
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Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Speech, Engineering/Electro Acoustics, Signal Processing, and Related Topics [SIP, EA, SP]/ Medical Image Engineering, Analysis, Recognition, etc. [MI] |
Paper Information |
Registration To |
MI |
Conference Code |
2018-03-SIP-EA-SP-MI |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Feature-selection method based on Grassmann distance for the classification of neoplastic polyps on endocytoscopic images |
Sub Title (in English) |
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Keyword(1) |
endocytoscopy |
Keyword(2) |
automated pathological diagnosis |
Keyword(3) |
feature selection |
Keyword(4) |
texture feature |
Keyword(5) |
manifold learning |
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1st Author's Name |
Hayato Itoh |
1st Author's Affiliation |
Nagoya University (Nagoya Univ.) |
2nd Author's Name |
Yuichi Mori |
2nd Author's Affiliation |
Showa University Northern Yokohama Hospital (Showa Univ.) |
3rd Author's Name |
Masashi Misawa |
3rd Author's Affiliation |
Showa University Northern Yokohama Hospital (Showa Univ.) |
4th Author's Name |
Masahiro Oda |
4th Author's Affiliation |
Nagoya University (Nagoya Univ.) |
5th Author's Name |
Shin-ei Kudo |
5th Author's Affiliation |
Showa University Northern Yokohama Hospital (Showa Univ.) |
6th Author's Name |
Kensaku Mori |
6th Author's Affiliation |
Nagoya University (Nagoya Univ.) |
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Speaker |
Author-1 |
Date Time |
2018-03-19 15:25:00 |
Presentation Time |
15 minutes |
Registration for |
MI |
Paper # |
MI2017-81 |
Volume (vol) |
vol.117 |
Number (no) |
no.518 |
Page |
pp.51-56 |
#Pages |
6 |
Date of Issue |
2018-03-12 (MI) |
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