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| Presentation | 2021-07-09 10:30 Applying Convolutional Network to Predict Pathology of Postchemotherapy Retroperitoneal Nodal Masses in Germ Cell tumors Yoshimasa Iwano, Satoshi Nitta (Univ. of Tsukuba), Takahiro Kojima (Aichi Cancer Center), Hideki Kakeya (Univ. of Tsukuba)  MI2021-15 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | The main treatment for advanced testicular cancer is chemotherapy and following surgical resection of residual masses. The significances of residual tumor resection are complete resection of teratoma or detection of viable germ cell cancer. Patients with necrosis who underwent residual tumor resection resulted in a considerable overtreatment, but it is difficult to predict pathological outcomes of residual masses before surgery. Therefore, this study aims to predict pathological outcomes by performing ensemble learning based on the direct results given by ResNet and the results given by SVM using the features obtained by ResNet. We extracted CT slices of 150 regions of interest from a total of 63 patients. Three-fold cross-validation was used to measure the generalization performance, and it was confirmed that the prediction accuracy was higher than that of ResNet alone. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | testicular tumor / ResNet / SVM / ensemble learning / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 98, MI2021-15, pp. 25-30, July 2021. | |
| Paper # | MI2021-15 | |
| Date of Issue | 2021-07-01 (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 | MI2021-15 |
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| Conference Information | |
| Committee | MI |
| Conference Date | 2021-07-08 - 2021-07-09 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Medical imaging, physics, and recognition |
| Paper Information | |
| Registration To | MI |
| Conference Code | 2021-07-MI |
| Language | English (Japanese title is available) |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Applying Convolutional Network to Predict Pathology of Postchemotherapy Retroperitoneal Nodal Masses in Germ Cell tumors |
| Sub Title (in English) | |
| Keyword(1) | testicular tumor |
| Keyword(2) | ResNet |
| Keyword(3) | SVM |
| Keyword(4) | ensemble learning |
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| 1st Author's Name | Yoshimasa Iwano |
| 1st Author's Affiliation | University of Tsukuba (Univ. of Tsukuba) |
| 2nd Author's Name | Satoshi Nitta |
| 2nd Author's Affiliation | University of Tsukuba (Univ. of Tsukuba) |
| 3rd Author's Name | Takahiro Kojima |
| 3rd Author's Affiliation | Aichi Cancer Center Hospital (Aichi Cancer Center) |
| 4th Author's Name | Hideki Kakeya |
| 4th Author's Affiliation | University of Tsukuba (Univ. of Tsukuba) |
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| Speaker | Author-1 |
| Date Time | 2021-07-09 10:30:00 |
| Presentation Time | 30 minutes |
| Registration for | MI |
| Paper # | MI2021-15 |
| Volume (vol) | vol.121 |
| Number (no) | no.98 |
| Page | pp.25-30 |
| #Pages | 6 |
| Date of Issue | 2021-07-01 (MI) |
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