{"created":"2025-01-19T01:29:20.110644+00:00","updated":"2025-01-19T11:22:20.513968+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00229897","sets":["6504:11436:11440"]},"path":["11440"],"owner":"44499","recid":"229897","title":["Vision TransformerとFocal Lossを用いたMRI画像における卵巣がんの診断"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-02-16"},"_buckets":{"deposit":"99a47be7-d8bf-44e2-8a99-f28a146a48b0"},"_deposit":{"id":"229897","pid":{"type":"depid","value":"229897","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"Vision TransformerとFocal Lossを用いたMRI画像における卵巣がんの診断","author_link":["618435","618436","618438","618439","618437"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Vision TransformerとFocal Lossを用いたMRI画像における卵巣がんの診断"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"人工知能と認知科学","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2023-02-16","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"横浜国大"},{"subitem_text_value":"横浜国大"},{"subitem_text_value":"横浜市大"},{"subitem_text_value":"横浜市大"},{"subitem_text_value":"横浜市大"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/229897/files/IPSJ-Z85-2Q-01.pdf","label":"IPSJ-Z85-2Q-01.pdf"},"date":[{"dateType":"Available","dateValue":"2023-11-17"}],"format":"application/pdf","filename":"IPSJ-Z85-2Q-01.pdf","filesize":[{"value":"412.7 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"60c359e2-2af4-49b2-99b9-3195d009f75d","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2023 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"王, 夢雨"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"濱上, 知樹"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"宮城, 悦子"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"長内, 奈々"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"宇都宮, 大輔"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_22_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00349328","subitem_source_identifier_type":"NCID"}]},"item_22_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"卵巣がんは初期に症状が出にくいがんであり、さらに患者数は増加し、大きな社会問題になっている。 現状、医師がMRI検査の画像を用いてがんの種類と性質を推測する。そして、患者が適切な治療を受けられるよう、卵巣がんの種類に応じて、治療方針が選択される。しかし、画像分析医師の人手不足うえに,診断に専門知識と経験が必要なために,医師の経験差により、診断結果に違いが出てしまうという問題がある。これを解決するために人工知能を用いたMRI画像の分類による卵巣がん診断の支援が必要である。本研究は、Vision Transformerとfocal lossを用いてMRI画像の診断を支援することにより、卵巣がんの補助診断の実現と画像分析医師のストレス軽減が期待される。","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"198","bibliographic_titles":[{"bibliographic_title":"第85回全国大会講演論文集"}],"bibliographicPageStart":"197","bibliographicIssueDates":{"bibliographicIssueDate":"2023-02-16","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2023"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":229897,"links":{}}