Paper Abstract and Keywords |
Presentation |
2011-05-20 15:10
Computer aided diagnosis scheme for histological classification of breast mass on ultrasonic images Akiyoshi Hizukuri, Ryohei Nakayama, Yumi Kashikura, Nobuo Nakako, Hiroharu Kawanaka, Haruhiko Takase, Tomoko Ogawa, Shinji Tsuruoka (Mie Univ.) IE2011-35 PRMU2011-27 MI2011-27 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
The purpose of this study is to develop a computer-aided diagnosis scheme for histological classifications of breast masses on ultrasonographic images in order to assist clinicians’ in determining a treatment plane as a “second opinion.” The mass region is then segmented by two steps. First, a Snakes technique is employed to extract roughly the mass region. Second, a region-growing technique is applied around the extracted mass region to segment the irregularity on the edge of the mass region. Nine objective features on the mass region are determined by taking into account image features that experienced clinicians commonly used for describing breast masses on ultrasonographic images. A Bays discriminant function with the nine objective features is employed for distinguishing among four different types of histological classifications on masses. Finally, the classification accuracies of this proposed method is evaluated by using 83 ultrasonographic images. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
histological classification / ultrasonographic image / mass / computer-aided diagnosis / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 111, no. 49, MI2011-27, pp. 153-158, May 2011. |
Paper # |
MI2011-27 |
Date of Issue |
2011-05-12 (IE, PRMU, 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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IE2011-35 PRMU2011-27 MI2011-27 |
Conference Information |
Committee |
PRMU MI IE |
Conference Date |
2011-05-19 - 2011-05-20 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
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Topics (in Japanese) |
(See Japanese page) |
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Paper Information |
Registration To |
MI |
Conference Code |
2011-05-PRMU-MI-IE |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Computer aided diagnosis scheme for histological classification of breast mass on ultrasonic images |
Sub Title (in English) |
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Keyword(1) |
histological classification |
Keyword(2) |
ultrasonographic image |
Keyword(3) |
mass |
Keyword(4) |
computer-aided diagnosis |
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1st Author's Name |
Akiyoshi Hizukuri |
1st Author's Affiliation |
Mie University (Mie Univ.) |
2nd Author's Name |
Ryohei Nakayama |
2nd Author's Affiliation |
Mie University (Mie Univ.) |
3rd Author's Name |
Yumi Kashikura |
3rd Author's Affiliation |
Mie University (Mie Univ.) |
4th Author's Name |
Nobuo Nakako |
4th Author's Affiliation |
Mie University (Mie Univ.) |
5th Author's Name |
Hiroharu Kawanaka |
5th Author's Affiliation |
Mie University (Mie Univ.) |
6th Author's Name |
Haruhiko Takase |
6th Author's Affiliation |
Mie University (Mie Univ.) |
7th Author's Name |
Tomoko Ogawa |
7th Author's Affiliation |
Mie University (Mie Univ.) |
8th Author's Name |
Shinji Tsuruoka |
8th Author's Affiliation |
Mie University (Mie Univ.) |
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Speaker |
Author-1 |
Date Time |
2011-05-20 15:10:00 |
Presentation Time |
30 minutes |
Registration for |
MI |
Paper # |
IE2011-35, PRMU2011-27, MI2011-27 |
Volume (vol) |
vol.111 |
Number (no) |
no.47(IE), no.48(PRMU), no.49(MI) |
Page |
pp.153-158 |
#Pages |
6 |
Date of Issue |
2011-05-12 (IE, PRMU, MI) |
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