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| Presentation | 2018-03-13 11:15 Application of U-Net to spine image extraction in CT image Mikoto Kamata, Masayuki Kikuchi (Tokyo Univ.of Tech.), Hayaru Shouno (Univ. of Electro-Communications.), Isao Hayashi (Kansai Univ.), Kunihiko Fukushima (Fuzzy Logic Systems Inst.)  NC2017-81 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In this study, we aimed at automatic extraction of spinal parts in CT images using deep learning as a foothold for automatically generating 3D mesh model of spine from CT image of patient. We used 10 spinal data which were learned and tested on U-Net for the segmentation of spine region. The percentage of correct answers that the learned spine was tested was 98.5%, and the similarity between teacher image and segmented spine image measure by Dice coefficient of having tested the unedited spinal column was 82.7%. In order to improve this similarity value, it will be effective to adjust the parameters of U-Net and to conduct 3D learning as well. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | U-Net / Medical image processing / segmentation / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 117, no. 508, NC2017-81, pp. 81-84, March 2018. | |
| Paper # | NC2017-81 | |
| Date of Issue | 2018-03-06 (NC) | |
| ISSN | Print edition: ISSN 0913-5685 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 | NC2017-81 |
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| Conference Information | |
| Committee | MBE NC |
| Conference Date | 2018-03-13 - 2018-03-14 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kikai-Shinko-Kaikan Bldg. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | ME, general |
| Paper Information | |
| Registration To | NC |
| Conference Code | 2018-03-MBE-NC |
| Language | Japanese without English title) |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Application of U-Net to spine image extraction in CT image |
| Sub Title (in English) | |
| Keyword(1) | U-Net |
| Keyword(2) | Medical image processing |
| Keyword(3) | segmentation |
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| 1st Author's Name | Mikoto Kamata |
| 1st Author's Affiliation | Tokyo University of Technology (Tokyo Univ.of Tech.) |
| 2nd Author's Name | Masayuki Kikuchi |
| 2nd Author's Affiliation | Tokyo University of Technology (Tokyo Univ.of Tech.) |
| 3rd Author's Name | Hayaru Shouno |
| 3rd Author's Affiliation | University of Electro-Communications (Univ. of Electro-Communications.) |
| 4th Author's Name | Isao Hayashi |
| 4th Author's Affiliation | Kansai University (Kansai Univ.) |
| 5th Author's Name | Kunihiko Fukushima |
| 5th Author's Affiliation | Fuzzy Logic Systems Institute (Fuzzy Logic Systems Inst.) |
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| Speaker | Author-1 |
| Date Time | 2018-03-13 11:15:00 |
| Presentation Time | 25 minutes |
| Registration for | NC |
| Paper # | NC2017-81 |
| Volume (vol) | vol.117 |
| Number (no) | no.508 |
| Page | pp.81-84 |
| #Pages | 4 |
| Date of Issue | 2018-03-06 (NC) |
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