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| Presentation | 2019-09-04 16:20 Domain-adversarial multiple instance learning for subtype classification of malignant lymphoma Daisuke Fukushima, Ryoichi Koga, Noriaki Hashimoto, Kaho Ko (Nagoya Inst. of Tech), Masato Nakaguro, Kei Kohno, Shigeo Nakamura (Nagoya Univ. Hospital), Hidekata Hontani (Nagoya Inst of Tech), Ichiro Takeuchi (Nagoya Inst. of Tech/RIKEN/NIMS)  PRMU2019-15 MI2019-34 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | We classify subtypes of malignant lymphoma using convolutional neural network with digital pathological images as input for computer-aided diagnosis. Generally, when the input image is large, the patch image is extracted from the entire sample. However, when we have no information for tumor regions in the sample, it is difficult that correct labels are apprppriately given to each patch image. We address such a problem using multiple instance learning. In addition, it is known that the variety of staining condition of the input pathological image affects the performance of image analysis. We confirmed that the classification accuracy was improved using domain-adversarial learning. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | pathological image / malignant lymphoma / onvolutional neural network / multiple instance learning / domain-adversarial learning / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 119, no. 193, MI2019-34, pp. 19-24, Sept. 2019. | |
| Paper # | MI2019-34 | |
| Date of Issue | 2019-08-28 (PRMU, 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 | PRMU2019-15 MI2019-34 |
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| Conference Information | |
| Committee | PRMU MI IPSJ-CVIM |
| Conference Date | 2019-09-04 - 2019-09-05 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | MI |
| Conference Code | 2019-09-PRMU-MI-CVIM |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Domain-adversarial multiple instance learning for subtype classification of malignant lymphoma |
| Sub Title (in English) | |
| Keyword(1) | pathological image |
| Keyword(2) | malignant lymphoma |
| Keyword(3) | onvolutional neural network |
| Keyword(4) | multiple instance learning |
| Keyword(5) | domain-adversarial learning |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Daisuke Fukushima |
| 1st Author's Affiliation | Nagoya Institute of Technology (Nagoya Inst. of Tech) |
| 2nd Author's Name | Ryoichi Koga |
| 2nd Author's Affiliation | Nagoya Institute of Technology (Nagoya Inst. of Tech) |
| 3rd Author's Name | Noriaki Hashimoto |
| 3rd Author's Affiliation | Nagoya Institute of Technology (Nagoya Inst. of Tech) |
| 4th Author's Name | Kaho Ko |
| 4th Author's Affiliation | Nagoya Institute of Technology (Nagoya Inst. of Tech) |
| 5th Author's Name | Masato Nakaguro |
| 5th Author's Affiliation | Nagoya University Hospital (Nagoya Univ. Hospital) |
| 6th Author's Name | Kei Kohno |
| 6th Author's Affiliation | Nagoya University Hospital (Nagoya Univ. Hospital) |
| 7th Author's Name | Shigeo Nakamura |
| 7th Author's Affiliation | Nagoya University Hospital (Nagoya Univ. Hospital) |
| 8th Author's Name | Hidekata Hontani |
| 8th Author's Affiliation | Nagoya Institute of Technology (Nagoya Inst of Tech) |
| 9th Author's Name | Ichiro Takeuchi |
| 9th Author's Affiliation | Nagoya Institute of Technology/RIKEN/National Institute for Materials Science (Nagoya Inst. of Tech/RIKEN/NIMS) |
| Speaker | Author-1 |
| Date Time | 2019-09-04 16:20:00 |
| Presentation Time | 15 minutes |
| Registration for | MI |
| Paper # | PRMU2019-15, MI2019-34 |
| Volume (vol) | vol.119 |
| Number (no) | no.192(PRMU), no.193(MI) |
| Page | pp.19-24 |
| #Pages | 6 |
| Date of Issue | 2019-08-28 (PRMU, MI) |
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