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Paper Abstract and Keywords
Presentation 2007-11-30 11:45
The active artificial neural network by a neuro-fuzzy classification for speckle noise removal in medical ultrasound image
Hyungseok Oh, Toshihiro Nishimura (Waseda Univ.) IE2007-104
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 neuro-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 neuro-fuzzy model to select one neural network among three artificial neural networks. Then, auto-threshold method is adopted to control the threshold value in neuro-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 / Neuro-fuzzy Model / Auto-threshold method / / /  
Reference Info. IEICE Tech. Rep., vol. 107, no. 358, IE2007-104, pp. 79-82, Nov. 2007.
Paper # IE2007-104 
Date of Issue 2007-11-22 (IE) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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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 IE ITE-BCT ITE-ME ITE-AIT  
Conference Date 2007-11-29 - 2007-11-30 
Place (in Japanese) (See Japanese page) 
Place (in English) Saga University 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To IE 
Conference Code 2007-11-IE-ITE-BCT-ITE-ME-ITE-CG 
Language English (Japanese title is available) 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) The active artificial neural network by a neuro-fuzzy classification for speckle noise removal in medical ultrasound image 
Sub Title (in English)  
Keyword(1) Ultrasound image  
Keyword(2) Speckle noise  
Keyword(3) Artificial Neural Network  
Keyword(4) Neuro-fuzzy Model  
Keyword(5) 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  
2nd Author's Affiliation Waseda University (Waseda Univ.)
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Speaker Author-1 
Date Time 2007-11-30 11:45:00 
Presentation Time 25 minutes 
Registration for IE 
Paper # IE2007-104 
Volume (vol) vol.107 
Number (no) no.358 
Page pp.79-82 
#Pages
Date of Issue 2007-11-22 (IE) 


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