{"created":"2025-01-19T01:38:02.893902+00:00","updated":"2025-01-19T09:22:18.001206+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00236153","sets":["6504:11678:11689"]},"path":["11689"],"owner":"44499","recid":"236153","title":["物体検出モデルによる造影・非造影CT画像からの腎腫瘍の検出"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-03-01"},"_buckets":{"deposit":"129b05af-74c9-4ddc-ba19-8c454bba26bc"},"_deposit":{"id":"236153","pid":{"type":"depid","value":"236153","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"物体検出モデルによる造影・非造影CT画像からの腎腫瘍の検出","author_link":["645432","645433","645441","645435","645440","645437","645439","645438","645436","645434"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"物体検出モデルによる造影・非造影CT画像からの腎腫瘍の検出"}]},"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":"2024-03-01","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":"名城大"},{"subitem_text_value":"名城大"},{"subitem_text_value":"名城大"},{"subitem_text_value":"名城大"},{"subitem_text_value":"名城大"},{"subitem_text_value":"Meis Technology Inc."},{"subitem_text_value":"愛知医科大"},{"subitem_text_value":"名大"},{"subitem_text_value":"名大"},{"subitem_text_value":"名大"}]},"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/236153/files/IPSJ-Z86-6T-04.pdf","label":"IPSJ-Z86-6T-04.pdf"},"date":[{"dateType":"Available","dateValue":"2024-07-03"}],"format":"application/pdf","filename":"IPSJ-Z86-6T-04.pdf","filesize":[{"value":"859.6 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"92d04c93-1540-4dc2-9547-748674206789","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"深沢, 貴希"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"小川, 悠太"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"亀谷, 由隆"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"山田, 啓一"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"堀田, 一弘"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"高橋, 友一"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"佐々, 直人"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"松川, 宜久"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"岩野, 信吾"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"山本, 徳則"}],"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":"画像分類モデルで腹部CT画像から腎腫瘍を検出する場合，腎領域をあらかじめ切り出したマスク画像を使用すると検出精度が向上すると分かっている．しかしこの場合，新規患者に対する診断でも何らかのマスク処理が必要となる点が問題である．一方，腎腫瘍の検出に物体検出モデルを用いる場合は，腎領域のアノテーションが必要なのは学習時のみであり，新規患者に対する診断時のコストを削減できる．本研究では CNN に基づく SSD や RetinaNet, Transformer に基づく DETR などの物体検出モデルを用いて造影・非造影のCT画像から腎腫瘍の検出を行い，画像単位と患者単位それぞれの検出精度を比較する．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"632","bibliographic_titles":[{"bibliographic_title":"第86回全国大会講演論文集"}],"bibliographicPageStart":"631","bibliographicIssueDates":{"bibliographicIssueDate":"2024-03-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2024"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":236153,"links":{}}