{"_buckets": {"deposit": "d719fe78-50e3-4e21-9369-cd2fb5a708eb"}, "_deposit": {"id": "21570", "owners": [], "pid": {"revision_id": 0, "type": "depid", "value": "21570"}, "status": "published"}, "_oai": {"id": "oai:nagoya.repo.nii.ac.jp:00021570"}, "item_10_alternative_title_19": {"attribute_name": "\u305d\u306e\u4ed6\u306e\u8a00\u8a9e\u306e\u30bf\u30a4\u30c8\u30eb", "attribute_value_mlt": [{"subitem_alternative_title": "Mediastinal Lymph Node Detection Method Based on Radial Structure Tensor and Machine Learning"}]}, "item_10_biblio_info_6": {"attribute_name": "\u66f8\u8a8c\u60c5\u5831", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2013-10", "bibliographicIssueDateType": "Issued"}, "bibliographicIssueNumber": "281", "bibliographicPageEnd": "56", "bibliographicPageStart": "51", "bibliographicVolumeNumber": "113", "bibliographic_titles": [{"bibliographic_title": "\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u7814\u7a76\u5831\u544a. MI, \u533b\u7528\u753b\u50cf"}]}]}, "item_10_description_4": {"attribute_name": "\u6284\u9332", "attribute_value_mlt": [{"subitem_description": "\u672c\u7a3f\u3067\u306f,\u80f8\u90e8CT\u50cf\u304b\u3089\u7e26\u9694\u30ea\u30f3\u30d1\u7bc0\u3092\u81ea\u52d5\u691c\u51fa\u3059\u308b\u624b\u6cd5\u3092\u63d0\u6848\u3059\u308b.\u7e26\u9694\u30ea\u30f3\u30d1\u7bc0\u306fCT\u50cf\u306b\u304a\u3044\u3066,\u5468\u56f2\u3088\u308a\u9ad8\u3044CT\u5024\u3092\u3082\u3064\u584a\u72b6\u306e\u7d44\u7e54\u3068\u3057\u3066\u89b3\u5bdf\u3055\u308c\u308b\u304c,\u4ed6\u306e\u7d44\u7e54\u306b\u96a3\u63a5\u3057\u3066\u3044\u308b\u30ea\u30f3\u30d1\u7bc0\u3084,\u30ea\u30f3\u30d1\u7bc0\u3068\u540c\u69d8\u306b\u5468\u56f2\u3088\u308a\u9ad8\u3044CT\u5024\u3092\u3082\u3064\u7d44\u7e54\u304c\u591a\u6570\u5b58\u5728\u3059\u308b.\u3053\u306e\u305f\u3081\u63d0\u6848\u624b\u6cd5\u3067\u306f,\u5165\u529bCT\u50cf\u306b\u5bfe\u3057,\u5468\u8fba\u7d44\u7e54\u306e\u5f71\u97ff\u3092\u53d7\u3051\u306b\u304f\u3044Radial Structure Tensor\u306b\u3088\u308b\u584a\u72b6\u69cb\u9020\u5f37\u8abf\u30d5\u30a3\u30eb\u30bf(R-BSE)\u3092\u9069\u7528\u3057,\u5404\u30ea\u30f3\u30d1\u7bc0\u5019\u88dc\u9818\u57df\u3092\u5f97\u308b.\u3055\u3089\u306b,\u30b5\u30dd\u30fc\u30c8\u30d9\u30af\u30bf\u30de\u30b7\u30f3\u306b\u3088\u308a\u5404\u5019\u88dc\u9818\u57df\u304c\u30ea\u30f3\u30d1\u7bc0\u3067\u3042\u308b\u304b\u5426\u304b\u3092\u5224\u5b9a\u3059\u308b.\u5224\u5b9a\u306b\u7528\u3044\u308b\u7279\u5fb4\u91cf\u3068\u3057\u3066,\u5019\u88dc\u9818\u57df\u306e\u5f62\u72b6,\u4f4d\u7f6e\u304a\u3088\u3073CT\u5024\u306e\u60c5\u5831\u3092\u7528\u3044\u308b.\u52d5\u8108\u76f8\u80f8\u90e8CT\u50cf46\u4f8b\u306b\u5bfe\u3059\u308b\u7e26\u9694\u30ea\u30f3\u30d1\u7bc0\u691c\u51fa\u5b9f\u9a13\u306e\u7d50\u679c,\u77ed\u5f845.0[mm]\u4ee5\u4e0a\u306e\u30ea\u30f3\u30d1\u7bc0\u309285.6%\u691c\u51fa\u3059\u308b\u3068\u304d,FP(False Positive)\u9818\u57df\u6570\u306f1\u75c7\u4f8b\u3042\u305f\u308a14.9\u500b\u3067\u3042\u3063\u305f.\u307e\u305f,\u77ed\u5f8410.0[mm]\u4ee5\u4e0a\u306e\u30ea\u30f3\u30d1\u7bc0\u309288.5%\u691c\u51fa\u3059\u308b\u3068\u304d,FP\u9818\u57df\u6570\u306f1\u75c7\u4f8b\u3042\u305f\u308a14.8\u500b\u3067\u3042\u3063\u305f. In this paper, we present a method for detecting mediastinal lymph nodes from 3D chest CT volumes. Meiastinal lymph nodes are observed as blob structures which have higher CT values than the surrounding regions. However, there are lymph nodes adhering other tissue and tissue which have as high CT value as lymph nodes. In the proposed method, a blobness structure enhancement filter based on Radial Structure Tensor (R-BSE) is utilized to obtain candidate regions because the R-BSE is robust for influence of neighboring tissues. The candidate regions are classified into lymph nodes and others by the support vector machine. Shape, location, and CT value of candidate regions are used as feature values. We applied the proposed method to 46 cases of arterial phase 3D CT volumes. The method detected 85.6% of lymph nodes whose minor asix is no less than 5.0[mm] with 14.9 FP (False Positive)s per patient. The method also detected 88.5% of lymph nodes whose minor axis is no less than 10.0[mm] with 14.8 FPs per patient.", "subitem_description_type": "Abstract"}]}, "item_10_identifier_60": {"attribute_name": "URI", "attribute_value_mlt": [{"subitem_identifier_type": "URI", "subitem_identifier_uri": "http://ci.nii.ac.jp/naid/110009886187/"}, {"subitem_identifier_type": "HDL", "subitem_identifier_uri": "http://hdl.handle.net/2237/23718"}]}, "item_10_publisher_32": {"attribute_name": "\u51fa\u7248\u8005", "attribute_value_mlt": [{"subitem_publisher": "\u4e00\u822c\u793e\u56e3\u6cd5\u4eba\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a"}]}, "item_10_relation_40": {"attribute_name": "\u30b7\u30ea\u30fc\u30ba", "attribute_value_mlt": [{"subitem_relation_name": [{"subitem_relation_name_text": "IEICE Technical Report;MI2013-55"}]}]}, "item_10_rights_12": {"attribute_name": "\u6a29\u5229", "attribute_value_mlt": [{"subitem_rights": "(c)\u4e00\u822c\u793e\u56e3\u6cd5\u4eba\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a \u672c\u6587\u30c7\u30fc\u30bf\u306f\u5b66\u5354\u4f1a\u306e\u8a31\u8afe\u306b\u57fa\u3065\u304dCiNii\u304b\u3089\u8907\u88fd\u3057\u305f\u3082\u306e\u3067\u3042\u308b"}]}, "item_10_select_15": {"attribute_name": "\u8457\u8005\u7248\u30d5\u30e9\u30b0", "attribute_value_mlt": [{"subitem_select_item": "publisher"}]}, "item_10_source_id_7": {"attribute_name": "ISSN", "attribute_value_mlt": [{"subitem_source_identifier": "0913-5685", "subitem_source_identifier_type": "ISSN"}]}, "item_creator": {"attribute_name": "\u8457\u8005", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "\u5c0f\u7530, \u7d18\u4e45"}], "nameIdentifiers": [{"nameIdentifier": "63306", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "\u7f85, \u96c4\u5f6a"}], "nameIdentifiers": [{"nameIdentifier": "63307", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "\u4e8c\u6751, \u5e78\u5b5d"}], "nameIdentifiers": [{"nameIdentifier": "63308", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "\u5c0f\u7530, \u660c\u5b8f"}], "nameIdentifiers": [{"nameIdentifier": "63309", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "\u5317\u5742, \u5b5d\u5e78"}], "nameIdentifiers": [{"nameIdentifier": "63310", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "\u5ca9\u91ce, \u4fe1\u543e"}], "nameIdentifiers": [{"nameIdentifier": "63311", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "\u672c\u9593, \u88d5\u654f"}], "nameIdentifiers": [{"nameIdentifier": "63312", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "\u9ad8\u7560, \u535a\u55e3"}], "nameIdentifiers": [{"nameIdentifier": "63313", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "\u68ee, \u96c5\u6a39"}], "nameIdentifiers": [{"nameIdentifier": "63314", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "\u540d\u53d6, \u535a"}], "nameIdentifiers": [{"nameIdentifier": "63315", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "\u68ee, \u5065\u7b56"}], "nameIdentifiers": [{"nameIdentifier": "63316", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "ODA, Hirohisa"}], "nameIdentifiers": [{"nameIdentifier": "63317", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "LUO, Xiongbiao"}], "nameIdentifiers": [{"nameIdentifier": "63318", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "NIMURA, Yukitaka"}], "nameIdentifiers": [{"nameIdentifier": "63319", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "ODA, Masahiro"}], "nameIdentifiers": [{"nameIdentifier": "63320", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "KITASAKA, Takayuki"}], "nameIdentifiers": [{"nameIdentifier": "63321", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "IWANO, Shingo"}], "nameIdentifiers": [{"nameIdentifier": "63322", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "HONMA, Hirotoshi"}], "nameIdentifiers": [{"nameIdentifier": "63323", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "TAKABATAKE, Hirotsugu"}], "nameIdentifiers": [{"nameIdentifier": "63324", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "MORI, Masaki"}], "nameIdentifiers": [{"nameIdentifier": "63325", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "NATORI, Hiroshi"}], "nameIdentifiers": [{"nameIdentifier": "63326", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "MORI, Kensaku"}], "nameIdentifiers": [{"nameIdentifier": "63327", "nameIdentifierScheme": "WEKO"}]}]}, "item_files": {"attribute_name": "\u30d5\u30a1\u30a4\u30eb\u60c5\u5831", "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": "110009886187.pdf", "filesize": [{"value": "1.0 MB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 1000000.0, "url": {"label": "110009886187.pdf", "url": "https://nagoya.repo.nii.ac.jp/record/21570/files/110009886187.pdf"}, "version_id": "08c81ff9-da21-47b2-86e3-611cae33517a"}]}, "item_keyword": {"attribute_name": "\u30ad\u30fc\u30ef\u30fc\u30c9", "attribute_value_mlt": [{"subitem_subject": "CAD", "subitem_subject_scheme": "Other"}, {"subitem_subject": "\u80ba\u304c\u3093", "subitem_subject_scheme": "Other"}, {"subitem_subject": "\u30b5\u30dd\u30fc\u30c8\u30d9\u30af\u30bf\u30de\u30b7\u30f3", "subitem_subject_scheme": "Other"}, {"subitem_subject": "Lung Cancer", "subitem_subject_scheme": "Other"}, {"subitem_subject": "Support Vector Machine", "subitem_subject_scheme": "Other"}]}, "item_language": {"attribute_name": "\u8a00\u8a9e", "attribute_value_mlt": [{"subitem_language": "jpn"}]}, "item_resource_type": {"attribute_name": "\u8cc7\u6e90\u30bf\u30a4\u30d7", "attribute_value_mlt": [{"resourcetype": "journal article", "resourceuri": "http://purl.org/coar/resource_type/c_6501"}]}, "item_title": "Radial Structure Tensor\u304a\u3088\u3073\u6a5f\u68b0\u5b66\u7fd2\u306b\u57fa\u3065\u304f\u7e26\u9694\u30ea\u30f3\u30d1\u7bc0\u691c\u51fa\u624b\u6cd5", "item_titles": {"attribute_name": "\u30bf\u30a4\u30c8\u30eb", "attribute_value_mlt": [{"subitem_title": "Radial Structure Tensor\u304a\u3088\u3073\u6a5f\u68b0\u5b66\u7fd2\u306b\u57fa\u3065\u304f\u7e26\u9694\u30ea\u30f3\u30d1\u7bc0\u691c\u51fa\u624b\u6cd5"}]}, "item_type_id": "10", "owner": "1", "path": ["312/313/314"], "permalink_uri": "http://hdl.handle.net/2237/23718", "pubdate": {"attribute_name": "\u516c\u958b\u65e5", "attribute_value": "2016-03-03"}, "publish_date": "2016-03-03", "publish_status": "0", "recid": "21570", "relation": {}, "relation_version_is_last": true, "title": ["Radial Structure Tensor\u304a\u3088\u3073\u6a5f\u68b0\u5b66\u7fd2\u306b\u57fa\u3065\u304f\u7e26\u9694\u30ea\u30f3\u30d1\u7bc0\u691c\u51fa\u624b\u6cd5"], "weko_shared_id": null}