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| Presentation | 2019-01-22 13:20 [Short Paper] Differences of Segmentation Results by Three Training Data for Cartilage Extraction in Knee MR Images Using Deep Learning Ryoma Aoki, Takeshi Hara (Gifu Univ), Taiki Nozaki, Masaki Matsusako (Dept.of Radiol.,St.Luke's Hosp.), Xiangrong Zhou, Hiroshi Fujita (Gifu Univ)  MI2018-76 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Accurate grasp of cartilage area is important for diagnosis and treatment related to arthropathy diseases. In recent years, the importance of the quantitative evaluation index of the cartilage state has been noted in the diagnosis related to knee articular cartilage. The purpose of this research is to develop an automatic extraction method of cartilage region using deep learning. FCN-32s, FCN-16s and FCN-8s were used for learning from each teacher data of 20 normal MR images in which 2 doctors drew a cartilage area, and comparison was made by t-test with interobserver and intraobserver correspondence. As a result, it was suggested that there was a significant difference in learning result, and comparison of cartilage region extraction accuracy could be done. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Knee MR image / cartilage / segmentation / FCN / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 118, no. 412, MI2018-76, pp. 63-64, Jan. 2019. | |
| Paper # | MI2018-76 | |
| Date of Issue | 2019-01-15 (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 | MI2018-76 |
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| Conference Information | |
| Committee | MI |
| Conference Date | 2019-01-22 - 2019-01-23 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Medical Image Engineering, Analysis, Recognition, etc. |
| Paper Information | |
| Registration To | MI |
| Conference Code | 2019-01-MI |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Differences of Segmentation Results by Three Training Data for Cartilage Extraction in Knee MR Images Using Deep Learning |
| Sub Title (in English) | |
| Keyword(1) | Knee MR image |
| Keyword(2) | cartilage |
| Keyword(3) | segmentation |
| Keyword(4) | FCN |
| Keyword(5) | |
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| Keyword(8) | |
| 1st Author's Name | Ryoma Aoki |
| 1st Author's Affiliation | Gifu University (Gifu Univ) |
| 2nd Author's Name | Takeshi Hara |
| 2nd Author's Affiliation | Gifu University (Gifu Univ) |
| 3rd Author's Name | Taiki Nozaki |
| 3rd Author's Affiliation | Department of Radiology,St.Luke's International Hospitai (Dept.of Radiol.,St.Luke's Hosp.) |
| 4th Author's Name | Masaki Matsusako |
| 4th Author's Affiliation | Department of Radiology,St.Luke's International Hospitai (Dept.of Radiol.,St.Luke's Hosp.) |
| 5th Author's Name | Xiangrong Zhou |
| 5th Author's Affiliation | Gifu University (Gifu Univ) |
| 6th Author's Name | Hiroshi Fujita |
| 6th Author's Affiliation | Gifu University (Gifu Univ) |
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| Speaker | Author-1 |
| Date Time | 2019-01-22 13:20:00 |
| Presentation Time | 50 minutes |
| Registration for | MI |
| Paper # | MI2018-76 |
| Volume (vol) | vol.118 |
| Number (no) | no.412 |
| Page | pp.63-64 |
| #Pages | 2 |
| Date of Issue | 2019-01-15 (MI) |
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