Paper Abstract and Keywords |
Presentation |
2020-11-04 10:40
Base-type identification model for next-generation DNA sequencer using CNN Daisuke Hayashi, Toru Yokoyama, Kiyohiro Obara (Hitachi) MICT2020-10 MI2020-36 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Next-generation DNA sequencers are expected to grow in the market as their applications in the medical field such as cancer diagnosis and personalized medicine. In the conventional model, since the base types of DNA are identified only using a fluorescence intensity at each DNA colony position, their accuracies are easily affected by image defocus and bad registration. Generally, it is difficult to model crosstalk among fluorescent signals and phasing correction between cycles. In this study, we proposed a base discrimination model based on CNN, which improved performance by iterating CNN learning 5 times. As a result, we confirmed the effectiveness of CNN iterative learning and obtained the prospect of its device-independence, which means that it will not be necessary to optimize a model for each device. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Next-generation DNA sequencer / CNN / Iterative learning / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 120, no. 220, MI2020-36, pp. 15-20, Nov. 2020. |
Paper # |
MI2020-36 |
Date of Issue |
2020-10-28 (MICT, MI) |
ISSN |
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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MICT2020-10 MI2020-36 |
Conference Information |
Committee |
MICT MI |
Conference Date |
2020-11-04 - 2020-11-04 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Medical imaging technology, healthcare and medical information communication technology |
Paper Information |
Registration To |
MI |
Conference Code |
2020-11-MICT-MI |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Base-type identification model for next-generation DNA sequencer using CNN |
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Next-generation DNA sequencer |
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CNN |
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Iterative learning |
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1st Author's Name |
Daisuke Hayashi |
1st Author's Affiliation |
Hitachi, Ltd., Research & Development Group, Center for Technology Innovation - Artificial Intelligence (Hitachi) |
2nd Author's Name |
Toru Yokoyama |
2nd Author's Affiliation |
Hitachi, Ltd., Research & Development Group, Center for Technology Innovation - Artificial Intelligence (Hitachi) |
3rd Author's Name |
Kiyohiro Obara |
3rd Author's Affiliation |
Hitachi, Ltd., Research & Development Group, Center for Technology Innovation - Artificial Intelligence (Hitachi) |
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Speaker |
Author-1 |
Date Time |
2020-11-04 10:40:00 |
Presentation Time |
20 minutes |
Registration for |
MI |
Paper # |
MICT2020-10, MI2020-36 |
Volume (vol) |
vol.120 |
Number (no) |
no.219(MICT), no.220(MI) |
Page |
pp.15-20 |
#Pages |
6 |
Date of Issue |
2020-10-28 (MICT, MI) |
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