| Presentation | 2020-11-04 Base-type identification model for next-generation DNA sequencer using CNN Daisuke Hayashi, Toru Yokoyama, Kiyohiro Obara, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Next-generation DNA sequencers are expected to grow in the market as their applications in the medical field such as cancer diagnosis and personalized medicine. In the conventional model, since the base types of DNA are identified only using a fluorescence intensity at each DNA colony position, their accuracies are easily affected by image defocus and bad registration. Generally, it is difficult to model crosstalk among fluorescent signals and phasing correction between cycles. In this study, we proposed a base discrimination model based on CNN, which improved performance by iterating CNN learning 5 times. As a result, we confirmed the effectiveness of CNN iterative learning and obtained the prospect of its device-independence, which means that it will not be necessary to optimize a model for each device. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Next-generation DNA sequencer / CNN / Iterative learning |
| Paper # | MICT2020-10,MI2020-36 |
| Date of Issue | 2020-10-28 (MICT, MI) |
| Conference Information | |
| Committee | MICT / MI |
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| Conference Date | 2020/11/4(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Virtual (TBD) |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Medical imaging technology, healthcare and medical information communication technology |
| Chair | Eisuke Hanada(Saga Univ.) / Yoshiki Kawata(Tokushima Univ.) |
| Vice Chair | Hirokazu Tanaka(Hiroshima City Univ.) / Daisuke Anzai(Nagoya Inst. of Tech.) / Takayuki Kitasaka(Aichi Inst. of Tech.) / Hidekata Hontani(Nagoya Inst. of Tech.) |
| Secretary | Hirokazu Tanaka(Kobe Univ.) / Daisuke Anzai(Yokohama National Univ.) / Takayuki Kitasaka(Yamaguchi Univ.) / Hidekata Hontani(Univ. of Hyogo) |
| Assistant | Keita Saku(Kyushu Univ.) / Kai Ishida(KISTEC) / Kento Takabayashi(Okayama Pref. Univ.) / Hotaka Takizawa(Tsukuba Univ.) / Yoshito Otake(NAIST) |
| Paper Information | |
| Registration To | Technical Committee on Healthcare and Medical Information Communication Technology / 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) | Base-type identification model for next-generation DNA sequencer using CNN |
| Sub Title (in English) | |
| Keyword(1) | Next-generation DNA sequencer |
| Keyword(2) | CNN |
| Keyword(3) | Iterative learning |
| 1st Author's Name | Daisuke Hayashi |
| 1st Author's Affiliation | Hitachi, Ltd., Research & Development Group, Center for Technology Innovation - Artificial Intelligence(Hitachi) |
| 2nd Author's Name | Toru Yokoyama |
| 2nd Author's Affiliation | Hitachi, Ltd., Research & Development Group, Center for Technology Innovation - Artificial Intelligence(Hitachi) |
| 3rd Author's Name | Kiyohiro Obara |
| 3rd Author's Affiliation | Hitachi, Ltd., Research & Development Group, Center for Technology Innovation - Artificial Intelligence(Hitachi) |
| Date | 2020-11-04 |
| Paper # | MICT2020-10,MI2020-36 |
| Volume (vol) | vol.120 |
| Number (no) | MICT-219,MI-220 |
| Page | pp.pp.15-20(MICT), pp.15-20(MI), |
| #Pages | 6 |
| Date of Issue | 2020-10-28 (MICT, MI) |