| Paper Abstract and Keywords |
| Presentation |
2022-09-15 15:15
Learning of Squamous Cell Image Classification Model Using Preference Learning to Assist Cervical Cytology
Yuta Nambu (Future Univ. Hakodate), Tasuku Mariya, Syota Shinkai, Mina Umemoto, Hiroko Asanuma, Yoshihiko Hirohashi, Tsuyoshi Saito, Toshihiko Torigoe (Sapporo Medical Univ.), Ikuma Sato, Yuichi Fujino (Future Univ. Hakodate)  MI2022-62 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
To support cervical cell diagnosis, Various classification methods of cervical cell images using machine learning have been proposed. However, even methods with large amounts of data and large models have not been able to achieve classification with sufficient performance. One reason for this difficulty may be that label noise tends to occur due to the difficulty of making decisions. Therefore, we propose preference learning of a model that discriminates order relationships among cell images using pairwise data such that `Image B is more malignant than Image A' as labels. In this paper, we report the performance of a deep learning model with preference learning on cervical cell images, and compare the discriminative performance of the model with classification learning. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Cell image classification / Learning to rank / Deep learning / / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 122, no. 188, MI2022-62, pp. 53-58, Sept. 2022. |
| Paper # |
MI2022-62 |
| Date of Issue |
2022-09-08 (MI) |
| ISSN |
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) |
| Download PDF |
MI2022-62 |
| Conference Information |
| Committee |
MI |
| Conference Date |
2022-09-15 - 2022-09-15 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
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| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
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| Paper Information |
| Registration To |
MI |
| Conference Code |
2022-09-MI |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Learning of Squamous Cell Image Classification Model Using Preference Learning to Assist Cervical Cytology |
| Sub Title (in English) |
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| Keyword(1) |
Cell image classification |
| Keyword(2) |
Learning to rank |
| Keyword(3) |
Deep learning |
| Keyword(4) |
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| Keyword(6) |
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| Keyword(7) |
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| 1st Author's Name |
Yuta Nambu |
| 1st Author's Affiliation |
Graduate School of Media Architecture, Future University Hakodate, Hakodate, Japan. (Future Univ. Hakodate) |
| 2nd Author's Name |
Tasuku Mariya |
| 2nd Author's Affiliation |
Department of Obstetrics and Gynecology, Sapporo Medical University School of Medicine, Sapporo, Japan. (Sapporo Medical Univ.) |
| 3rd Author's Name |
Syota Shinkai |
| 3rd Author's Affiliation |
Department of Obstetrics and Gynecology, Sapporo Medical University School of Medicine, Sapporo, Japan. (Sapporo Medical Univ.) |
| 4th Author's Name |
Mina Umemoto |
| 4th Author's Affiliation |
Department of Obstetrics and Gynecology, Sapporo Medical University School of Medicine, Sapporo, Japan. (Sapporo Medical Univ.) |
| 5th Author's Name |
Hiroko Asanuma |
| 5th Author's Affiliation |
Department of Pathology 1st, Sapporo Medical University School of Medicine, Sapporo, Japan. (Sapporo Medical Univ.) |
| 6th Author's Name |
Yoshihiko Hirohashi |
| 6th Author's Affiliation |
Department of Pathology 1st, Sapporo Medical University School of Medicine, Sapporo, Japan. (Sapporo Medical Univ.) |
| 7th Author's Name |
Tsuyoshi Saito |
| 7th Author's Affiliation |
Department of Obstetrics and Gynecology, Sapporo Medical University School of Medicine, Sapporo, Japan. (Sapporo Medical Univ.) |
| 8th Author's Name |
Toshihiko Torigoe |
| 8th Author's Affiliation |
Department of Pathology 1st, Sapporo Medical University School of Medicine, Sapporo, Japan. (Sapporo Medical Univ.) |
| 9th Author's Name |
Ikuma Sato |
| 9th Author's Affiliation |
Department of Media Architecture, Future University Hakodate, Hakodate, Japan. (Future Univ. Hakodate) |
| 10th Author's Name |
Yuichi Fujino |
| 10th Author's Affiliation |
Department of Media Architecture, Future University Hakodate, Hakodate, Japan. (Future Univ. Hakodate) |
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| Speaker |
Author-1 |
| Date Time |
2022-09-15 15:15:00 |
| Presentation Time |
15 minutes |
| Registration for |
MI |
| Paper # |
MI2022-62 |
| Volume (vol) |
vol.122 |
| Number (no) |
no.188 |
| Page |
pp.53-58 |
| #Pages |
6 |
| Date of Issue |
2022-09-08 (MI) |
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