{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00215559","sets":["6504:10735:10811"]},"path":["10811"],"owner":"44499","recid":"215559","title":["内視鏡手術映像内に現れる画像特徴点のニューラルネットワークによる判別"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-03-04"},"_buckets":{"deposit":"9df126ab-6c26-4ce1-8d26-f4c8c022cf20"},"_deposit":{"id":"215559","pid":{"type":"depid","value":"215559","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"内視鏡手術映像内に現れる画像特徴点のニューラルネットワークによる判別","author_link":["555056","555055","555057"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"内視鏡手術映像内に現れる画像特徴点のニューラルネットワークによる判別"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"コンピュータと人間社会","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2021-03-04","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":"岡山県大"},{"subitem_text_value":"岡山県大"},{"subitem_text_value":"岡山県大"}]},"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/215559/files/IPSJ-Z83-4ZC-01.pdf","label":"IPSJ-Z83-4ZC-01.pdf"},"date":[{"dateType":"Available","dateValue":"2021-12-29"}],"format":"application/pdf","filename":"IPSJ-Z83-4ZC-01.pdf","filesize":[{"value":"1.9 MB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"59a5d555-9fa3-4f86-90a9-9bdb11f77bfe","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2021 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"佐久間, 涼太"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"箱谷, 知輝"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"小枝, 正直"}],"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":"近年，ロボット支援下腎部分切除術が従来の腹腔鏡手術に打って変る存在になりつつある．しかし，視野の狭い中で安全に手術を行うためには十分な経験と高度な技術が要求される．これをサポートするため現在，ロボット支援下腎部分切除術の映像にAR を用いるシステムの開発が進められている[1]．本システムは，特徴点ベースのSLAM (Simultaneous Localizationand Mapping) の一つであるORB-SLAM により内視鏡カメラの位置・姿勢を推定し，手術の対象となる臓器の3DCG を内視鏡の映像にリアルタイムで重ねることで，目視できない腫瘍や血管の位置の把握を助けるというものである．しかし，内視鏡のカメラ映像内に手術器具が存在する場合，不必要な特徴点が増大することでカメラ位置・姿勢推定に大きな誤差が生じる場合があった．そこで本研究では，生体部分と手術器具部分の特徴点を判別し，本システムのカメラ位置・姿勢推定の安定化を目的とする．特徴点の判別には，ニューラルネットワーク（以降，NN）を利用し，その精度等を検証する．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"468","bibliographic_titles":[{"bibliographic_title":"第83回全国大会講演論文集"}],"bibliographicPageStart":"467","bibliographicIssueDates":{"bibliographicIssueDate":"2021-03-04","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2021"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":215559,"updated":"2025-01-19T16:06:15.311797+00:00","links":{},"created":"2025-01-19T01:16:19.501415+00:00"}