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| Presentation | 2020-10-02 14:55 Research and development of image interpretation platform of Trauma CT Image for supervised learning. Yasuo Yamao, Toshiya Nakaguchi, Taka-aki Nakada (Chiba Univ.)  IMQ2020-5 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | For the development of an AI for the diagnosis of CT trauma images, the supervised data read by a radiologist is necessary. Previously, the DICOM images were read and interpreted from the CT system on a network of the hospital by using specialized software for a specific terminal in the hospital. In order to create more supervised data, it is useful to eliminate the space and time constraints in reading the images. Therefore, we have developed a web application that enables us to create supervised data without time and place constraints and with the same usability (UI/UX and browsing speed) as the specialized software if there is an internet connection and a browser on a general-purpose PC or a tablet. We have confirmed that the web application we developed can be used to create supervised data by a radiologist as well as a specific terminal in the hospital. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | CT images / DICOM / mage processing / web applications / browser rendering / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 120, no. 178, IMQ2020-5, pp. 5-8, Oct. 2020. | |
| Paper # | IMQ2020-5 | |
| Date of Issue | 2020-09-25 (IMQ) | |
| 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 | IMQ2020-5 |
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| Conference Information | |
| Committee | IMQ |
| Conference Date | 2020-10-02 - 2020-10-02 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | IMQ |
| Conference Code | 2020-10-IMQ |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Research and development of image interpretation platform of Trauma CT Image for supervised learning. |
| Sub Title (in English) | |
| Keyword(1) | CT images |
| Keyword(2) | DICOM |
| Keyword(3) | mage processing |
| Keyword(4) | web applications |
| Keyword(5) | browser rendering |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Yasuo Yamao |
| 1st Author's Affiliation | Chiba University (Chiba Univ.) |
| 2nd Author's Name | Toshiya Nakaguchi |
| 2nd Author's Affiliation | Chiba University (Chiba Univ.) |
| 3rd Author's Name | Taka-aki Nakada |
| 3rd Author's Affiliation | Chiba University (Chiba Univ.) |
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| Speaker | Author-1 |
| Date Time | 2020-10-02 14:55:00 |
| Presentation Time | 25 minutes |
| Registration for | IMQ |
| Paper # | IMQ2020-5 |
| Volume (vol) | vol.120 |
| Number (no) | no.178 |
| Page | pp.5-8 |
| #Pages | 4 |
| Date of Issue | 2020-09-25 (IMQ) |
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