{"_buckets": {"deposit": "9ee005af-456e-42e0-936b-0ca4c1b28f5a"}, "_deposit": {"id": "21576", "owners": [], "pid": {"revision_id": 0, "type": "depid", "value": "21576"}, "status": "published"}, "_oai": {"id": "oai:nagoya.repo.nii.ac.jp:00021576", "sets": ["314"]}, "author_link": ["63390", "63391", "63392", "63393", "63394", "63395", "63396", "63397", "63398", "63399", "63400", "63401", "63402", "63403", "63404", "63405", "63406", "63407", "63408", "63409"], "item_10_alternative_title_19": {"attribute_name": "その他のタイトル", "attribute_value_mlt": [{"subitem_alternative_title": "An Improvement of Automated Lymph Node Detection Method from 3D Abdominal X-ray CT Images using Feature Selection Methods", "subitem_alternative_title_language": "en"}]}, "item_10_biblio_info_6": {"attribute_name": "書誌情報", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2014-01", "bibliographicIssueDateType": "Issued"}, "bibliographicIssueNumber": "410", "bibliographicPageEnd": "90", "bibliographicPageStart": "85", "bibliographicVolumeNumber": "113", "bibliographic_titles": [{"bibliographic_title": "電子情報通信学会技術研究報告. MI, 医用画像", "bibliographic_titleLang": "ja"}]}]}, "item_10_description_4": {"attribute_name": "抄録", "attribute_value_mlt": [{"subitem_description": "我々は,大腸がんや胃がんの術前診断支援を目的とした腹部リンパ節自動検出手法の開発を行っている.転移の可能性のある腫大リンパ節を自動的に検出することにより,切除範囲決定支援などの術前診断支援,ならびに検出したリンパ節の提示による術中支援の実現を目的とする.本論文では,従来手法の問題点であった過検出削減の改良として,特徴量選択手法による精度向上を試みた.腹部CT像28例に対する実験の結果,特徴量選択なしの場合でTP率70.5%のとき過検出数が13.3個/例を,特徴量選択手法の使用によりTP率71.6%のときの過検出数約12.5個/例まで精度向上が可能であった. ", "subitem_description_language": "ja", "subitem_description_type": "Abstract"}, {"subitem_description": "We have been developing automatical abdominal lymph node detection methods to aid pre-operating diagnosis for surgery of colorectal or stomach cancers. Our purpose is to achieve the aid for resection area decision in pre-operative diagnosis and the aid for intra-operation by displaying the detected lymph nodes. We have proposed methods for detecting lymph nodes based on estimation and classification of local intensity structure. In this paper, we improve false positive reduction process using the feature selection methods. By applying the proposed method to 28 abdominal 3D CT images, we can detect 68 of 95 lymph nodes with 12.5 false positive per case.", "subitem_description_language": "en", "subitem_description_type": "Abstract"}]}, "item_10_description_5": {"attribute_name": "内容記述", "attribute_value_mlt": [{"subitem_description": "IEICE Technical Report;MI2013-72", "subitem_description_language": "en", "subitem_description_type": "Other"}]}, "item_10_identifier_60": {"attribute_name": "URI", "attribute_value_mlt": [{"subitem_identifier_type": "URI", "subitem_identifier_uri": "http://ci.nii.ac.jp/naid/110009821243/"}, {"subitem_identifier_type": "HDL", "subitem_identifier_uri": "http://hdl.handle.net/2237/23724"}]}, "item_10_publisher_32": {"attribute_name": "出版者", "attribute_value_mlt": [{"subitem_publisher": "一般社団法人電子情報通信学会", "subitem_publisher_language": "ja"}]}, "item_10_relation_40": {"attribute_name": "シリーズ", "attribute_value_mlt": [{"subitem_relation_name": [{"subitem_relation_name_text": "IEICE 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Yukitaka", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "63401", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "MIZUNO, Shinji", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "63402", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "FURUKAWA, Kazuhiro", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "63403", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "GOTO, Hidemi", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "63404", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "FUJIWARA, Michitaka", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "63405", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "MISAWA, Kazunari", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "63406", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "ITO, Masaaki", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "63407", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "NAWANO, Shigeru", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "63408", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "MORI, Kensaku", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "63409", "nameIdentifierScheme": "WEKO"}]}]}, "item_files": {"attribute_name": "ファイル情報", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_date", "date": [{"dateType": "Available", "dateValue": "2018-02-21"}], "displaytype": "detail", "download_preview_message": "", "file_order": 0, "filename": "110009821243.pdf", "filesize": [{"value": "1.0 MB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_note", "mimetype": "application/pdf", "size": 1000000.0, "url": {"label": "110009821243.pdf", "objectType": "fulltext", "url": "https://nagoya.repo.nii.ac.jp/record/21576/files/110009821243.pdf"}, "version_id": "99a4462c-6663-4ebf-8160-69e2ad9d2b9d"}]}, "item_keyword": {"attribute_name": "キーワード", "attribute_value_mlt": [{"subitem_subject": "コンピュータ支援外科手術", "subitem_subject_scheme": "Other"}, {"subitem_subject": "リンパ節抽出", "subitem_subject_scheme": "Other"}, {"subitem_subject": "局所濃淡構造解析", "subitem_subject_scheme": "Other"}, {"subitem_subject": "特徴量選択", "subitem_subject_scheme": "Other"}, {"subitem_subject": "computer aided surgery", "subitem_subject_scheme": "Other"}, {"subitem_subject": "lymph node detection", "subitem_subject_scheme": "Other"}, {"subitem_subject": "local intensity structure analysis", "subitem_subject_scheme": "Other"}, {"subitem_subject": "feature selection", "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": "journal 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