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| Presentation | 2022-07-08 14:00 Cell type-specific tumor degree estimation in malignant lymphoma pathology images Hiroki Masuda (NITech), Noriaki Hashimoto (RIKEN), Yusuke Takagi (NITech), Hiroyuki Hanada (RIKEN), Hiroaki Miyoshi, Kensaku Sato, Koichi Oshima (Kurume Univ.), Hidekata Hontani (NITech), Ichiro Takeuchi (Nagoya Univ./RIKEN)  MI2022-32 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In the pathological diagnosis flow of malignant lymphoma, a type of blood cancer, it is important to identify the type of cancerous cells. In this study, we propose an extension of the multiple instance learning framework, which is an effective method in pathological image analysis, to quantify the tumor degree of each cell image. The results are visualized on a GUI as an extension of the image analysis software QuPath, and are provided in a form suitable for practical use. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | pathological image / malignant lymphoma / multiple instance learning / tumor degree estimation / hölder mean / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 98, MI2022-32, pp. 1-6, July 2022. | |
| Paper # | MI2022-32 | |
| Date of Issue | 2022-07-01 (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) | |
| Download PDF | MI2022-32 |
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| Conference Information | |
| Committee | MI |
| Conference Date | 2022-07-08 - 2022-07-09 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Medical imaging, recoginition, etc. |
| Paper Information | |
| Registration To | MI |
| Conference Code | 2022-07-MI |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Cell type-specific tumor degree estimation in malignant lymphoma pathology images |
| Sub Title (in English) | |
| Keyword(1) | pathological image |
| Keyword(2) | malignant lymphoma |
| Keyword(3) | multiple instance learning |
| Keyword(4) | tumor degree estimation |
| Keyword(5) | hölder mean |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Hiroki Masuda |
| 1st Author's Affiliation | Nagoya Institute of Technology (NITech) |
| 2nd Author's Name | Noriaki Hashimoto |
| 2nd Author's Affiliation | RIKEN (RIKEN) |
| 3rd Author's Name | Yusuke Takagi |
| 3rd Author's Affiliation | Nagoya Institute of Technology (NITech) |
| 4th Author's Name | Hiroyuki Hanada |
| 4th Author's Affiliation | RIKEN (RIKEN) |
| 5th Author's Name | Hiroaki Miyoshi |
| 5th Author's Affiliation | Kurume University (Kurume Univ.) |
| 6th Author's Name | Kensaku Sato |
| 6th Author's Affiliation | Kurume University (Kurume Univ.) |
| 7th Author's Name | Koichi Oshima |
| 7th Author's Affiliation | Kurume University (Kurume Univ.) |
| 8th Author's Name | Hidekata Hontani |
| 8th Author's Affiliation | Nagoya Institute of Technology (NITech) |
| 9th Author's Name | Ichiro Takeuchi |
| 9th Author's Affiliation | Nagoya University/RIKEN (Nagoya Univ./RIKEN) |
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| Speaker | Author-1 |
| Date Time | 2022-07-08 14:00:00 |
| Presentation Time | 20 minutes |
| Registration for | MI |
| Paper # | MI2022-32 |
| Volume (vol) | vol.122 |
| Number (no) | no.98 |
| Page | pp.1-6 |
| #Pages | 6 |
| Date of Issue | 2022-07-01 (MI) |
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