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新しい低価格分裂中期細胞検出装置プロジェクト（第7報）
https://repo.qst.go.jp/records/85186
https://repo.qst.go.jp/records/851863ec48263-c3e9-441d-801f-083598e38ebe
| Item type | 会議発表用資料 / Presentation(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2022-03-11 | |||||
| タイトル | ||||||
| タイトル | 新しい低価格分裂中期細胞検出装置プロジェクト（第7報） | |||||
| 言語 | ||||||
| 言語 | jpn | |||||
| 資源タイプ | ||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_c94f | |||||
| 資源タイプ | conference object | |||||
| 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 |
古川, 章
× 古川, 章× Akira, Furukawa |
|||||
| 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 automation of 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. This system was capable of identifying not only normal chromosomes but also PCC cells. The metaphase finder consists of an automated microscope, an auto-focus system, an X-Y stage, a camera, and a computer. To enhance the accuracy of the system, an artificial intelligence (AI) with deep learning was tested. The pre-selection of metaphases using mathematical morphology before the AI process was enabled the AI classification of true metaphases or not. 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. This year, The computers for metaphase finding and for AI are connected by file sharing, then the metaphases found by the machine are immediately processed by the AI. | |||||
| 会議概要（会議名, 開催地, 会期, 主催者等） | ||||||
| 内容記述タイプ | Other | |||||
| 内容記述 | 日本放射線影響学会第64回大会 | |||||
| 発表年月日 | ||||||
| 日付 | 2021-09-22 | |||||
| 日付タイプ | Issued | |||||
