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| Presentation | 2019-09-19 13:45 Super Resolution for 8K Endoscopic Images Based on Deep Learning Ayumu Wada, Seiichi Gohshi (Kogakuin Univ)  LOIS2019-8 IE2019-21 EMM2019-65 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Endoscopic operation is performed by inserting a camera through 1 cm holes into the body, and it has a smaller incision and less burden on the patients than open surgeries. 2K/4K endoscope cameras are used in the medical field, and 8K endoscopes have recently been developed to obtain high resolution videos. 8K endoscopes can clearly shoot the condition of the organ surfaces. However, in putting 8K endoscopes into practical use, focusing became a new problem. Although the focus of the 8K endoscopes must be adjusted by a specialist, it is difficult to continue shooting clearly the organ surfaces since manual focusing is not easy. This paper proposes a signal processing method using deep learning to visualize 8K endoscopic videos with insufficient the focus. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | 8K / Endoscopic Videos / Deep Learning / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 119, no. 206, IE2019-21, pp. 7-12, Sept. 2019. | |
| Paper # | IE2019-21 | |
| Date of Issue | 2019-09-12 (LOIS, IE, EMM) | |
| 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 | LOIS2019-8 IE2019-21 EMM2019-65 |
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| Conference Information | |
| Committee | IE EMM LOIS IEE-CMN ITE-ME IPSJ-AVM |
| Conference Date | 2019-09-19 - 2019-09-20 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Tokimeito, Niigata University |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | IE |
| Conference Code | 2019-09-IE-EMM-LOIS-CMN-ME-AVM |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Super Resolution for 8K Endoscopic Images Based on Deep Learning |
| Sub Title (in English) | |
| Keyword(1) | 8K |
| Keyword(2) | Endoscopic Videos |
| Keyword(3) | Deep Learning |
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| 1st Author's Name | Ayumu Wada |
| 1st Author's Affiliation | Kogakuin University (Kogakuin Univ) |
| 2nd Author's Name | Seiichi Gohshi |
| 2nd Author's Affiliation | Kogakuin University (Kogakuin Univ) |
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| Speaker | Author-1 |
| Date Time | 2019-09-19 13:45:00 |
| Presentation Time | 25 minutes |
| Registration for | IE |
| Paper # | LOIS2019-8, IE2019-21, EMM2019-65 |
| Volume (vol) | vol.119 |
| Number (no) | no.205(LOIS), no.206(IE), no.207(EMM) |
| Page | pp.7-12 |
| #Pages | 6 |
| Date of Issue | 2019-09-12 (LOIS, IE, EMM) |
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