{"links":{},"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00224108","sets":["6201:6202:9108:11187"]},"path":["11187"],"owner":"44499","recid":"224108","title":["CNNを用いた体位が様々なX線画像からの椎骨検出"],"pubdate":{"attribute_name":"公開日","attribute_value":"2022-09-18"},"_buckets":{"deposit":"adc501ea-2ced-4d03-935e-c80783b6edee"},"_deposit":{"id":"224108","pid":{"type":"depid","value":"224108","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"CNNを用いた体位が様々なX線画像からの椎骨検出","author_link":["590354","590353","590352"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"CNNを用いた体位が様々なX線画像からの椎骨検出"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"CNN,U-Net,セマンティックセグメンテーション,物体検出,X線画像","subitem_subject_scheme":"Other"}]},"item_type_id":"19","publish_date":"2022-09-18","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_19_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"和歌山大学"},{"subitem_text_value":"和歌山県立医科大学"}]},"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/224108/files/IPSJ-Kansai2022(71).pdf","label":"IPSJ-Kansai2022(71).pdf"},"date":[{"dateType":"Available","dateValue":"2022-09-18"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-Kansai2022(71).pdf","filesize":[{"value":"1.0 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"5"},{"tax":["include_tax"],"price":"0","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"8"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"1ec3463b-0607-4997-a403-f9e52a43735b","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2022 by the Information Processing Society of Japan"}]},"item_19_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"森川, 大翔"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"吉野, 孝"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"寺口, 真年"}],"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_19_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1884-197X","subitem_source_identifier_type":"ISSN"}]},"item_19_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"CT画像やMRI画像と比較してX線画像は不明瞭な場合が多く,医師による読影が困難である場合がある.そこで本研究では,CNNを用いて機械学習を行いX線画像から脊椎領域を検出することで,深層学習による椎骨の読影を目指す.","subitem_description_type":"Other"}]},"item_19_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographic_titles":[{"bibliographic_title":"2022年度 情報処理学会関西支部 支部大会 講演論文集"}],"bibliographicIssueDates":{"bibliographicIssueDate":"2022-09-18","bibliographicIssueDateType":"Issued"},"bibliographicVolumeNumber":"2022"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"created":"2025-01-19T01:23:42.749177+00:00","updated":"2025-01-19T13:15:50.680870+00:00","id":224108}