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| Presentation | 2022-10-21 16:25 Heart Detection Method in Non-Contrast Chest CT Image and Application to Calcium Scoring Yuki Sugimoto, Tetsuya Asakawa (TUT), Kazuki Shimizu, Takuyuki Komoda (THC), Masaki Aono (TUT)  PRMU2022-31 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Coronary artery disease, one of the major causes of death in Japan, is said to be related to coronary artery calcification. This calcification is quantified by the Agatston score, which is expected to be applied to health checkups. Currently, many methods have been proposed to automatically compute the Agaston score from CT images. Therefore, in this study, we propose a heart detection method using deep learning in order to improve the accuracy of calcium scoring. We conducted experiments using a dataset for heart detection from chest CT images and a dataset for calcium scoring from chest CT scans. The results show that the proposed method improves the accuracy of calcium scoring compared to the method without heart extraction. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Deep Learning / CNN / Object Detection / Carcium Scoring / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 223, PRMU2022-31, pp. 50-55, Oct. 2022. | |
| Paper # | PRMU2022-31 | |
| Date of Issue | 2022-10-14 (PRMU) | |
| 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 | PRMU2022-31 |
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| Conference Information | |
| Committee | PRMU |
| Conference Date | 2022-10-21 - 2022-10-22 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Miraikan - The National Museum of Emerging Science and Innovation |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Recognition and understanding related to people |
| Paper Information | |
| Registration To | PRMU |
| Conference Code | 2022-10-PRMU |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Heart Detection Method in Non-Contrast Chest CT Image and Application to Calcium Scoring |
| Sub Title (in English) | |
| Keyword(1) | Deep Learning |
| Keyword(2) | CNN |
| Keyword(3) | Object Detection |
| Keyword(4) | Carcium Scoring |
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| Keyword(8) | |
| 1st Author's Name | Yuki Sugimoto |
| 1st Author's Affiliation | Toyohashi University of Technology (TUT) |
| 2nd Author's Name | Tetsuya Asakawa |
| 2nd Author's Affiliation | Toyohashi University of Technology (TUT) |
| 3rd Author's Name | Kazuki Shimizu |
| 3rd Author's Affiliation | Toyohashi Heart Center (THC) |
| 4th Author's Name | Takuyuki Komoda |
| 4th Author's Affiliation | Toyohashi Heart Center (THC) |
| 5th Author's Name | Masaki Aono |
| 5th Author's Affiliation | Toyohashi University of Technology (TUT) |
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| Speaker | Author-1 |
| Date Time | 2022-10-21 16:25:00 |
| Presentation Time | 15 minutes |
| Registration for | PRMU |
| Paper # | PRMU2022-31 |
| Volume (vol) | vol.122 |
| Number (no) | no.223 |
| Page | pp.50-55 |
| #Pages | 6 |
| Date of Issue | 2022-10-14 (PRMU) |
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