WEKO3
アイテム
{"_buckets": {"deposit": "9dd342ad-ae12-463d-b02c-da358cac31d2"}, "_deposit": {"created_by": 1, "id": "74875", "owners": [1], "pid": {"revision_id": 0, "type": "depid", "value": "74875"}, "status": "published"}, "_oai": {"id": "oai:repo.qst.go.jp:00074875", "sets": ["1"]}, "author_link": ["858395", "858396"], "item_8_biblio_info_7": {"attribute_name": "書誌情報", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2019-12", "bibliographicIssueDateType": "Issued"}, "bibliographicIssueNumber": "1", "bibliographicPageEnd": "41", "bibliographicPageStart": "37", "bibliographicVolumeNumber": "186", "bibliographic_titles": [{"bibliographic_title": "Radiation Protection Dosimetry"}]}]}, "item_8_description_5": {"attribute_name": "抄録", "attribute_value_mlt": [{"subitem_description": "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.", "subitem_description_type": "Abstract"}]}, "item_8_publisher_8": {"attribute_name": "出版者", "attribute_value_mlt": [{"subitem_publisher": "Oxford University Press."}]}, "item_8_relation_14": {"attribute_name": "DOI", "attribute_value_mlt": [{"subitem_relation_type_id": {"subitem_relation_type_id_text": "10.1093/rpd/ncz012", "subitem_relation_type_select": "DOI"}}]}, "item_8_relation_17": {"attribute_name": "関連サイト", "attribute_value_mlt": [{"subitem_relation_type_id": {"subitem_relation_type_id_text": "https://academic.oup.com/rpd/advance-article/doi/10.1093/rpd/ncz012/5365227", "subitem_relation_type_select": "URI"}}]}, "item_8_source_id_9": {"attribute_name": "ISSN", "attribute_value_mlt": [{"subitem_source_identifier": "0144-8420", "subitem_source_identifier_type": "ISSN"}]}, "item_access_right": {"attribute_name": "アクセス権", "attribute_value_mlt": [{"subitem_access_right": "metadata only access", "subitem_access_right_uri": "http://purl.org/coar/access_right/c_14cb"}]}, "item_creator": {"attribute_name": "著者", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "Furukawa, Akira"}], "nameIdentifiers": [{"nameIdentifier": "858395", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "Furukawa, Akira", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "858396", "nameIdentifierScheme": "WEKO"}]}]}, "item_language": {"attribute_name": "言語", "attribute_value_mlt": [{"subitem_language": "eng"}]}, "item_resource_type": {"attribute_name": "資源タイプ", "attribute_value_mlt": [{"resourcetype": "journal article", "resourceuri": "http://purl.org/coar/resource_type/c_6501"}]}, "item_title": "The project of anothor low-cost metapese finder (second report-application of artificial intelligence) ", "item_titles": {"attribute_name": "タイトル", "attribute_value_mlt": [{"subitem_title": "The project of anothor low-cost metapese finder (second report-application of artificial intelligence) "}]}, "item_type_id": "8", "owner": "1", "path": ["1"], "permalink_uri": "https://repo.qst.go.jp/records/74875", "pubdate": {"attribute_name": "公開日", "attribute_value": "2019-03-20"}, "publish_date": "2019-03-20", "publish_status": "0", "recid": "74875", "relation": {}, "relation_version_is_last": true, "title": ["The project of anothor low-cost metapese finder (second report-application of artificial intelligence) "], "weko_shared_id": -1}
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) | |||||
---|---|---|---|---|---|---|
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 |
|||||
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 |
|||||
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 | |||||
関連サイト | ||||||
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 |