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| Presentation | 2021-12-22 15:50 [Poster Presentation] Basic study about CNN classification of liver fibrosis stages of ultrasonic B-mode images including their amplitude-envelope statistics Akiho Isshiki, Yuki Ujihara (Chiba Univ.), Dar-In Tai, Po-Hsiang Tsui (Chang Gung Univ.), Kenji Yoshida, Tadashi Yamaguchi, Shinnosuke Hirata (Chiba Univ.)  US2021-52 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | The progression and therapeutic effect of diffuse liver disease can be quantitatively evaluated by the estimation of liver fibrosis. In this research, the classification of liver fibrosis stages based on convolutional neural network has been studied. In previous works, the classification accuracy of transfer learning using VGG-16 has been approximately 50 % in the case of ultrasound images whose amplitude probability density distributions become different from the Rayleigh distribution as the stages progress. In this paper, a method of inputting the modulated ultrasonic image (color image) by the moments of peripheral pixels instead of the conventional ultrasonic image (monochrome image) is proposed for further improving the classification accuracy. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | diffuse liver disease / liver fibrosis stage / echo amplitude statistics / convolutional neural network / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 310, US2021-52, pp. 26-30, Dec. 2021. | |
| Paper # | US2021-52 | |
| Date of Issue | 2021-12-15 (US) | |
| 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 | US2021-52 |
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| Conference Information | |
| Committee | EA US |
| Conference Date | 2021-12-22 - 2021-12-23 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Sojo University |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | [Joint Meeting on Acoustics and Ultrasonics Subsociety] Engineering/Electro Acoustics, Ultrasonics, etc. |
| Paper Information | |
| Registration To | US |
| Conference Code | 2021-12-EA-US |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Basic study about CNN classification of liver fibrosis stages of ultrasonic B-mode images including their amplitude-envelope statistics |
| Sub Title (in English) | |
| Keyword(1) | diffuse liver disease |
| Keyword(2) | liver fibrosis stage |
| Keyword(3) | echo amplitude statistics |
| Keyword(4) | convolutional neural network |
| Keyword(5) | |
| Keyword(6) | |
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| Keyword(8) | |
| 1st Author's Name | Akiho Isshiki |
| 1st Author's Affiliation | Chiba University (Chiba Univ.) |
| 2nd Author's Name | Yuki Ujihara |
| 2nd Author's Affiliation | Chiba University (Chiba Univ.) |
| 3rd Author's Name | Dar-In Tai |
| 3rd Author's Affiliation | Chang Gung University (Chang Gung Univ.) |
| 4th Author's Name | Po-Hsiang Tsui |
| 4th Author's Affiliation | Chang Gung University (Chang Gung Univ.) |
| 5th Author's Name | Kenji Yoshida |
| 5th Author's Affiliation | Chiba University (Chiba Univ.) |
| 6th Author's Name | Tadashi Yamaguchi |
| 6th Author's Affiliation | Chiba University (Chiba Univ.) |
| 7th Author's Name | Shinnosuke Hirata |
| 7th Author's Affiliation | Chiba University (Chiba Univ.) |
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| Speaker | Author-1 |
| Date Time | 2021-12-22 15:50:00 |
| Presentation Time | 120 minutes |
| Registration for | US |
| Paper # | US2021-52 |
| Volume (vol) | vol.121 |
| Number (no) | no.310 |
| Page | pp.26-30 |
| #Pages | 5 |
| Date of Issue | 2021-12-15 (US) |
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