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The project of anothor low-cost metapese finder (second report-application of artificial intelligence)
https://repo.qst.go.jp/records/74875
https://repo.qst.go.jp/records/74875904f45a7-dc41-436f-a605-ca11e4a8b34a
Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2019-03-20 | |||||
タイトル | ||||||
タイトル | The project of anothor low-cost metapese finder (second report-application of artificial intelligence) | |||||
言語 | ||||||
言語 | eng | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
資源タイプ | journal article | |||||
アクセス権 | ||||||
アクセス権 | metadata only access | |||||
アクセス権URI | http://purl.org/coar/access_right/c_14cb | |||||
著者 |
Furukawa, Akira
× Furukawa, Akira× Furukawa, Akira |
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抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | Biological dosimetry is used to estimate individual absorbed radiation dose by quantifying an appropriate biological marker. The most popular gold-standard marker is the appearance of dicentric chromosomes in metaphase. The metaphase finder is a tool for biological dosimetry that finds metaphase cells on glass slides. The author and a software company have designed a new system and are now preparing to produce the system commercially. The metaphase finder consists of an automated microscope, a camera, and a computer. To enhance the accuracy of the system, an artificial intelligence (AI) with deep learning was tested. A total of 1709 images of the metaphase finder detected as ‘metaphases’ were read into a nine-layer artificial neural network to detect true metaphases. A total of 456 images were used for training, and the rest of the images were used for validation. The accuracy of AI was 0.89 for metaphases and 0.90 for non-metaphases. | |||||
書誌情報 |
Radiation Protection Dosimetry 巻 186, 号 1, p. 37-41, 発行日 2019-12 |
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出版者 | ||||||
出版者 | Oxford University Press. | |||||
ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 0144-8420 | |||||
DOI | ||||||
識別子タイプ | DOI | |||||
関連識別子 | 10.1093/rpd/ncz012 | |||||
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識別子タイプ | URI | |||||
関連識別子 | https://academic.oup.com/rpd/advance-article/doi/10.1093/rpd/ncz012/5365227 |