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| Presentation | 2021-07-08 14:30 Extraction of Calcified Regions from OCT Images Using Deep Learning Ryo Oikawa, Toru Kato, Akio Doi, Basabi Chakraborty (Iwate Prefectural Univ.), Masaru Ishida (Iwate Medical Univ.)  MI2021-12 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Stenosis or occlusion of coronary arteries leads to angina attacks and myocardial infarctions, and coronary artery disease is a leading cause of death. Coronary artery disease is a leading cause of death. Calcified lesions are particularly difficult to treat, and their evaluation is considered to be important. In the last decade, optical coherence tomography (OCT) has become widely used to diagnose calcified areas in coronary arteries. Although OCT can automatically extract coronary stents, evaluate lumen, and output 3D images, it is currently unable to automatically extract and diagnose disease states such as calcification. In this study, we proposed and evaluated a segmentation method for calcification images from coronary OCT images. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Deep Learning / OCT Image / Semantic Segmentation / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 98, MI2021-12, pp. 15-19, July 2021. | |
| Paper # | MI2021-12 | |
| 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 | MI2021-12 |
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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 | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Extraction of Calcified Regions from OCT Images Using Deep Learning |
| Sub Title (in English) | |
| Keyword(1) | Deep Learning |
| Keyword(2) | OCT Image |
| Keyword(3) | Semantic Segmentation |
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| 1st Author's Name | Ryo Oikawa |
| 1st Author's Affiliation | Iwate Prefectural University (Iwate Prefectural Univ.) |
| 2nd Author's Name | Toru Kato |
| 2nd Author's Affiliation | Iwate Prefectural University (Iwate Prefectural Univ.) |
| 3rd Author's Name | Akio Doi |
| 3rd Author's Affiliation | Iwate Prefectural University (Iwate Prefectural Univ.) |
| 4th Author's Name | Basabi Chakraborty |
| 4th Author's Affiliation | Iwate Prefectural University (Iwate Prefectural Univ.) |
| 5th Author's Name | Masaru Ishida |
| 5th Author's Affiliation | Iwate Medical University (Iwate Medical Univ.) |
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| Speaker | Author-1 |
| Date Time | 2021-07-08 14:30:00 |
| Presentation Time | 30 minutes |
| Registration for | MI |
| Paper # | MI2021-12 |
| Volume (vol) | vol.121 |
| Number (no) | no.98 |
| Page | pp.15-19 |
| #Pages | 5 |
| Date of Issue | 2021-07-01 (MI) |
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