Presentation | 2022-07-09 Development of a prognosis prediction for Covid-19 using deep learning Yuma Iwao, Naoko Kawata, Yuki Sekiguchi, Hideaki Haneishi, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Many studies have been reported on the prediction of COVID-19 severity using deep learning. However, most of them predicted severity based on CT images alone, and there have been few reports that took clinical information into account. We developed a system using deep learning to predict the severity of COVID-19 more accurately by adding clinical information to the image-based network. 385 cases were trained and 112 cases were evaluated.As a result, we confirmed 2-6% improvement in accuracy, sensitivity, and specificity. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Chest CT / COVID-19 / redict the severity / Deep Learning |
Paper # | MI2022-42 |
Date of Issue | 2022-07-01 (MI) |
Conference Information | |
Committee | MI |
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Conference Date | 2022/7/8(2days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | Medical imaging, recoginition, etc. |
Chair | Hidekata Hontani(Nagoya Inst. of Tech.) |
Vice Chair | Hideaki Haneishi(Chiba Univ.) / Takayuki Kitasaka(Aichi Inst. of Tech.) |
Secretary | Hideaki Haneishi(Yamaguchi Univ.) / Takayuki Kitasaka(Univ. of Hyogo) |
Assistant | Takeshi Hara(Gifu 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) | Development of a prognosis prediction for Covid-19 using deep learning |
Sub Title (in English) | |
Keyword(1) | Chest CT |
Keyword(2) | COVID-19 |
Keyword(3) | redict the severity |
Keyword(4) | Deep Learning |
1st Author's Name | Yuma Iwao |
1st Author's Affiliation | National Institutes for Quantum Science and Technology(QST) |
2nd Author's Name | Naoko Kawata |
2nd Author's Affiliation | Chiba University(Chiba Univ) |
3rd Author's Name | Yuki Sekiguchi |
3rd Author's Affiliation | Chiba University(Chiba Univ) |
4th Author's Name | Hideaki Haneishi |
4th Author's Affiliation | Chiba University(Chiba Univ) |
Date | 2022-07-09 |
Paper # | MI2022-42 |
Volume (vol) | vol.122 |
Number (no) | MI-98 |
Page | pp.pp.39-41(MI), |
#Pages | 3 |
Date of Issue | 2022-07-01 (MI) |