{"_buckets": {"deposit": "39d3e5cf-9b69-4d3a-a70d-161d371241a0"}, "_deposit": {"id": "21548", "owners": [], "pid": {"revision_id": 0, "type": "depid", "value": "21548"}, "status": "published"}, "_oai": {"id": "oai:nagoya.repo.nii.ac.jp:00021548", "sets": ["314"]}, "author_link": ["63008", "63009", "63010", "63011", "63012", "63013", "63014", "63015", "63016", "63017", "63018", "63019", "63020", "63021", "63022", "63023", "63024", "63025", "63026", "63027"], "item_10_alternative_title_19": {"attribute_name": "その他のタイトル", "attribute_value_mlt": [{"subitem_alternative_title": "A study of automatic lymph node detection method based on combining a number of detection techniques from 3D abdominal X-ray CT images", "subitem_alternative_title_language": "en"}]}, "item_10_biblio_info_6": {"attribute_name": "書誌情報", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2011-01", "bibliographicIssueDateType": "Issued"}, "bibliographicIssueNumber": "364", "bibliographicPageEnd": "152", "bibliographicPageStart": "147", "bibliographicVolumeNumber": "110", "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": "本論文では,大腸がんや胃がんの術前診断支援を目的とした,腹部リンパ節の自動検出手法について述べる.転移リンパ節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.今回,従来手法の問題点であった過検出の削減の改良として,最小方向差分フィルタを用いた過検出削減を行った.腹部CT像28例に対する実験の結果,腹部リンパ節を約70%の精度で検出としたときの過検出数は約156個/例であった. ", "subitem_description_language": "ja", "subitem_description_type": "Abstract"}, {"subitem_description": "We have been developing automatical abdominal lymph node detection methods to aid pre-operative diagnosis of the colon or the stomach cancer. Our purpose is to achieve the aid for resection area decision in pre-operative diagnosis and the aid for intra-operative by displaying 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 positve reduction process using the minimum directional difference filter. By applying the proposed method to 28 cases abdominal 3D CT images, it was possible to detect about 70 % lymph nodes with 156 FPs/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;MI2010-109", "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/110008675419/"}, {"subitem_identifier_type": "HDL", "subitem_identifier_uri": "http://hdl.handle.net/2237/23696"}]}, "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": 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Shinji", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "63020", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "FURUKAWA, Kazuhiro", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "63021", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "GOTO, Hidemi", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "63022", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "FUJIWARA, Michitaka", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "63023", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "MISAWA, Kazunari", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "63024", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "ITO, Masaaki", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "63025", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "NAWANO, Shigeru", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "63026", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "MORI, Kensaku", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "63027", "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": "110008675419.pdf", "filesize": [{"value": "1.5 MB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_note", "mimetype": "application/pdf", "size": 1500000.0, "url": {"label": "110008675419.pdf", "objectType": "fulltext", "url": "https://nagoya.repo.nii.ac.jp/record/21548/files/110008675419.pdf"}, "version_id": "b6c09802-cf5f-4cf7-bf34-dd427defeb02"}]}, "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": "最小方向差分フィルタ", "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": "minimum directional difference filter", "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 article", "resourceuri": "http://purl.org/coar/resource_type/c_6501"}]}, "item_title": "複数の検出手法の統合による3次元腹部X線CT像からのリンパ節自動検出に関する検討", "item_titles": 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