| Presentation | 2021-12-22 [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, Dar-In Tai, Po-Hsiang Tsui, Kenji Yoshida, Tadashi Yamaguchi, Shinnosuke Hirata, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(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) |
| Keyword(in English) | diffuse liver disease / liver fibrosis stage / echo amplitude statistics / convolutional neural network |
| Paper # | US2021-52 |
| Date of Issue | 2021-12-15 (US) |
| Conference Information | |
| Committee | EA / US |
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| Conference Date | 2021/12/22(2days) |
| 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. |
| Chair | Yoshinobu Kajikawa(Kansai Univ.) / Yoshikazu Koike(Shibaura Inst. of Tech.) |
| Vice Chair | Kenichi Furuya(Oita Univ.) / Shoichi Koyama(Univ. of Tokyo) / Hikaru Miura(Nihon Univ.) / Kentaro Nakamura(Tokyo Inst. of Tech.) |
| Secretary | Kenichi Furuya(NTT) / Shoichi Koyama(RitsumeikanUniv.) / Hikaru Miura(Tohoku Univ.) / Kentaro Nakamura(Chiba Univ.) |
| Assistant | Yukou Wakabayashi(Tokyo Metropolitan Univ.) / Tatsuya Komatsu(LINE) / Shin Yoshizawa(Tohoku Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Engineering Acoustics / Technical Committee on Ultrasonics |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | [Poster Presentation] 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 |
| 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.) |
| Date | 2021-12-22 |
| Paper # | US2021-52 |
| Volume (vol) | vol.121 |
| Number (no) | US-310 |
| Page | pp.pp.26-30(US), |
| #Pages | 5 |
| Date of Issue | 2021-12-15 (US) |