{"created":"2024-06-21T03:06:54.881588+00:00","id":2000041,"links":{},"metadata":{"_buckets":{"deposit":"c10f09c0-0798-4948-b761-3e73484f7bbf"},"_deposit":{"created_by":12,"id":"2000041","owner":"12","owners":[12],"pid":{"revision_id":0,"type":"depid","value":"2000041"},"status":"published"},"_oai":{"id":"oai:junshin.repo.nii.ac.jp:02000041","sets":[]},"author_link":[],"control_number":"2000041","item_10002_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2024-03-31"},"bibliographicIssueNumber":"14","bibliographicPageEnd":"33","bibliographicPageStart":"27"}]},"item_10002_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"AIは医療分野においても重要な役割を果たしており,放射線科医や診療放射線技師の働き方に変化をもたらしている.特に画像識別のブレークスルーとなった深層畳み込みニューラルネットワークの登場により,放射線診断や放射線治療への$I 活用が進展し,CTやMRIの画像解析や肺がん検出,治療計画の作成,画像品質の向上などに応用されている.一方で,データベースの精度や転移学習の問題など,医療画像特有の 課題も存在する.適切なAIの活用とこれに伴う変化へ柔軟に対応できる診療放射線技師が求められる.","subitem_description_language":"ja","subitem_description_type":"Abstract"}]},"item_10002_full_name_3":{"attribute_name":"著者(英)","attribute_value_mlt":[{"names":[{"name":"TAKAKI, Takeshi","nameLang":"en"}]}]},"item_10002_publisher_8":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"純真学園大学","subitem_publisher_language":"ja-Kana"}]},"item_10002_source_id_11":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA12581584","subitem_source_identifier_type":"NCID"}]},"item_10002_source_id_9":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2186-6481","subitem_source_identifier_type":"ISSN"}]},"item_1710308327429":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"【特集】放射線科領域における AI技術の活用と課題","subitem_title_language":"ja"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"髙木, 剛司","creatorNameLang":"ja"}],"nameIdentifiers":[{"nameIdentifier":"9000412111001","nameIdentifierScheme":"CiNii ID","nameIdentifierURI":"http://ci.nii.ac.jp/nrid/9000412111001"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2024-06-26"}],"displaytype":"detail","filename":"特集_放射線科領域におけるAI技術の活用と課題.pdf","filesize":[{"value":"6.6 MB"}],"format":"application/pdf","licensetype":"license_11","mimetype":"application/pdf","url":{"url":"https://junshin.repo.nii.ac.jp/record/2000041/files/特集_放射線科領域におけるAI技術の活用と課題.pdf"},"version_id":"65313e22-5dcb-4ac9-91d4-79a4a09452de"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"人工知能","subitem_subject_language":"ja","subitem_subject_scheme":"Other"},{"subitem_subject":"深層学習","subitem_subject_language":"ja","subitem_subject_scheme":"Other"},{"subitem_subject":"医療画像","subitem_subject_language":"ja","subitem_subject_scheme":"Other"},{"subitem_subject":"放射線","subitem_subject_language":"ja","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"departmental bulletin paper","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"【特集】放射線科領域における AI技術の活用と課題","item_type_id":"10002","owner":"12","path":["1714035455460"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2024-06-26"},"publish_date":"2024-06-26","publish_status":"0","recid":"2000041","relation_version_is_last":true,"title":["【特集】放射線科領域における AI技術の活用と課題"],"weko_creator_id":"12","weko_shared_id":-1},"updated":"2024-06-26T10:05:34.639411+00:00"}