Paper Abstract and Keywords |
Presentation |
2008-01-25 16:25
[Poster Presentation]
The Artificial Neural Network by a Fuzzy Classification for Speckle Noise Removal in Medical Ultrasound Image Hyungseok Oh, Toshihiro Nishimura (Waseda Univ.) MBE2007-102 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Medical ultrasound image is one of the major diagnostic tool in medical image. However, ultrasound images are degraded by the random granular texture called speckle noise. Therefore, the speckle noise is considered dominant source of noise in ultrasound image. In this paper, we propose the active artificial neural network by a fuzzy classification for speckle noise removal in medical ultrasound image. The proposed method is based on the artificial neural network by back-propagation and utilized the fuzzy model to select one neural network among three artificial neural networks. Then, auto-threshold method is adopted to control the threshold value in fuzzy method. The proposed method is compared to other methods and evaluated the performance by prewitt edge detection. Finally, we verify the performance improvement in utilizing the new strategy. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Ultrasound image / Speckle noise / Artificial Neural Network / fuzzy Model / Auto-threshold method / / / |
Reference Info. |
IEICE Tech. Rep., vol. 107, no. 460, MBE2007-102, pp. 91-94, Jan. 2008. |
Paper # |
MBE2007-102 |
Date of Issue |
2008-01-18 (MBE) |
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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MBE2007-102 |
Conference Information |
Committee |
MBE |
Conference Date |
2008-01-25 - 2008-01-25 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Kyushu Univ. |
Topics (in Japanese) |
(See Japanese page) |
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Paper Information |
Registration To |
MBE |
Conference Code |
2008-01-MBE |
Language |
English (Japanese title is available) |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
The Artificial Neural Network by a Fuzzy Classification for Speckle Noise Removal in Medical Ultrasound Image |
Sub Title (in English) |
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Keyword(1) |
Ultrasound image |
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Speckle noise |
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Artificial Neural Network |
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fuzzy Model |
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Auto-threshold method |
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1st Author's Name |
Hyungseok Oh |
1st Author's Affiliation |
Waseda University (Waseda Univ.) |
2nd Author's Name |
Toshihiro Nishimura |
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Waseda University (Waseda Univ.) |
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Speaker |
Author-1 |
Date Time |
2008-01-25 16:25:00 |
Presentation Time |
5 minutes |
Registration for |
MBE |
Paper # |
MBE2007-102 |
Volume (vol) |
vol.107 |
Number (no) |
no.460 |
Page |
pp.91-94 |
#Pages |
4 |
Date of Issue |
2008-01-18 (MBE) |
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