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| Presentation | 2023-03-06 09:44 Machine learning models using CT images and clinical variable to classify tumors in testicular cancer Shota Nakagawa, Masanobu Gido (University of Tsukuba), Satoshi Nitta (University of Tsukuba Hospital), Takahiro Kojima (Aichi Cancer Center Hospital), Hideki Kakeya (University of Tsukuba)  MI2022-75 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | This paper presents machine learning methods to classify tumors in testicular cancer. The model combines CT images and clinical variables using two different machine learning models. Two machine learning methods, convolutional neural network (CNN) and logistic regression (LR) are combined and evaluated through a nested 3-fold cross validation. The results show that CNN using CT images achieves an AUC of 0.803, LR using clinical variables achieves an AUC of 0.872, and the proposed method combining CT images and clinical variables achieves an AUC of 0.902. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Testicular cancer / CT imaging / Clinical variables / CNN / Logistic Regression / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 417, MI2022-75, pp. 8-13, March 2023. | |
| Paper # | MI2022-75 | |
| Date of Issue | 2023-02-27 (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 | MI2022-75 |
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| Conference Information | |
| Committee | MI |
| Conference Date | 2023-03-06 - 2023-03-07 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | OKINAWA SEINENKAIKAN |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | MI |
| Conference Code | 2023-03-MI |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Machine learning models using CT images and clinical variable to classify tumors in testicular cancer |
| Sub Title (in English) | |
| Keyword(1) | Testicular cancer |
| Keyword(2) | CT imaging |
| Keyword(3) | Clinical variables |
| Keyword(4) | CNN |
| Keyword(5) | Logistic Regression |
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| 1st Author's Name | Shota Nakagawa |
| 1st Author's Affiliation | University of Tsukuba (University of Tsukuba) |
| 2nd Author's Name | Masanobu Gido |
| 2nd Author's Affiliation | University of Tsukuba (University of Tsukuba) |
| 3rd Author's Name | Satoshi Nitta |
| 3rd Author's Affiliation | University of Tsukuba Hospital (University of Tsukuba Hospital) |
| 4th Author's Name | Takahiro Kojima |
| 4th Author's Affiliation | Aichi Cancer Center Hospital (Aichi Cancer Center Hospital) |
| 5th Author's Name | Hideki Kakeya |
| 5th Author's Affiliation | University of Tsukuba (University of Tsukuba) |
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| Speaker | Author-1 |
| Date Time | 2023-03-06 09:44:00 |
| Presentation Time | 13 minutes |
| Registration for | MI |
| Paper # | MI2022-75 |
| Volume (vol) | vol.122 |
| Number (no) | no.417 |
| Page | pp.8-13 |
| #Pages | 6 |
| Date of Issue | 2023-02-27 (MI) |
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