| Presentation | 2021-03-15 Automatic estimation of the extent of osteomyelitis of the jaw by anomaly detection Hideaki Hoshino, Kento Morita, Daisuke Takeda, Takumi Hasegawa, Tetsushi Wakabayashi, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In recent years, osteotomy has been used as a treatment for osteomyelitis of the jaw. However, the extent of osteomyelitis that can be determined from preoperative images is ambiguous, which causes problems such as lengthy surgery. Therefore, it is necessary to estimate the resection area with high accuracy. In this study, we proposed a method that combines deep metric learning and anomaly detection to estimate the area of osteomyelitis before surgery. As a result of experiments, we were able to estimate the presence or absence of osteomyelitis with F value of 0.85. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Osteomyelitis of the jaw / Computer-aided diagnosis / CT imaging / Anomaly detection / Deep learning |
| Paper # | MI2020-53 |
| Date of Issue | 2021-03-08 (MI) |
| Conference Information | |
| Committee | MI |
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| Conference Date | 2021/3/15(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Medical Imaging |
| Chair | Yoshiki Kawata(Tokushima Univ.) |
| Vice Chair | Takayuki Kitasaka(Aichi Inst. of Tech.) / Hidekata Hontani(Nagoya Inst. of Tech.) |
| Secretary | Takayuki Kitasaka(Yamaguchi Univ.) / Hidekata Hontani(Univ. of Hyogo) |
| Assistant | Hotaka Takizawa(Tsukuba Univ.) / Yoshito Otake(NAIST) |
| Paper Information | |
| Registration To | Technical Committee on Medical Imaging |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Automatic estimation of the extent of osteomyelitis of the jaw by anomaly detection |
| Sub Title (in English) | |
| Keyword(1) | Osteomyelitis of the jaw |
| Keyword(2) | Computer-aided diagnosis |
| Keyword(3) | CT imaging |
| Keyword(4) | Anomaly detection |
| Keyword(5) | Deep learning |
| 1st Author's Name | Hideaki Hoshino |
| 1st Author's Affiliation | Mie University(Mie Univ.) |
| 2nd Author's Name | Kento Morita |
| 2nd Author's Affiliation | Mie University(Mie Univ.) |
| 3rd Author's Name | Daisuke Takeda |
| 3rd Author's Affiliation | Kobe University(Kobe Univ.) |
| 4th Author's Name | Takumi Hasegawa |
| 4th Author's Affiliation | Kobe University(Kobe Univ.) |
| 5th Author's Name | Tetsushi Wakabayashi |
| 5th Author's Affiliation | Mie University(Mie Univ.) |
| Date | 2021-03-15 |
| Paper # | MI2020-53 |
| Volume (vol) | vol.120 |
| Number (no) | MI-431 |
| Page | pp.pp.25-28(MI), |
| #Pages | 4 |
| Date of Issue | 2021-03-08 (MI) |