{"created":"2025-02-21T03:35:48.610262+00:00","id":2006916,"links":{},"metadata":{"_buckets":{"deposit":"bf55506e-175f-4fc1-8662-a187afefd12e"},"_deposit":{"created_by":41,"id":"2006916","owners":[41],"pid":{"revision_id":0,"type":"depid","value":"2006916"},"status":"published"},"_oai":{"id":"oai:hiroshima.repo.nii.ac.jp:02006916","sets":["1730444907710"]},"author_link":[],"item_1617186331708":{"attribute_name":"Title","attribute_value_mlt":[{"subitem_title":"Quantitative analysis and development of a computer-aided system for identification of regular pit patterns of colorectal lesions","subitem_title_language":"en"}]},"item_1617186419668":{"attribute_name":"Creator","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Takemura, Yoshito","creatorNameLang":"en"}],"familyNames":[{"familyName":"Takemura","familyNameLang":"en"}],"givenNames":[{"givenName":"Yoshito","givenNameLang":"en"}]},{"creatorNames":[{"creatorName":"Yoshida, Shigeto","creatorNameLang":"en"}],"familyNames":[{"familyName":"Yoshida","familyNameLang":"en"}],"givenNames":[{"givenName":"Shigeto","givenNameLang":"en"}]},{"creatorNames":[{"creatorName":"Tanaka, Shinji","creatorNameLang":"en"}],"familyNames":[{"familyName":"Tanaka","familyNameLang":"en"}],"givenNames":[{"givenName":"Shinji","givenNameLang":"en"}]},{"creatorNames":[{"creatorName":"Onji, Keiichi","creatorNameLang":"en"}],"familyNames":[{"familyName":"Onji","familyNameLang":"en"}],"givenNames":[{"givenName":"Keiichi","givenNameLang":"en"}]},{"creatorNames":[{"creatorName":"Oka, Shiro","creatorNameLang":"en"}],"familyNames":[{"familyName":"Oka","familyNameLang":"en"}],"givenNames":[{"givenName":"Shiro","givenNameLang":"en"}]},{"creatorNames":[{"creatorName":"Tamaki, Toru","creatorNameLang":"en"}],"familyNames":[{"familyName":"Tamaki","familyNameLang":"en"}],"givenNames":[{"givenName":"Toru","givenNameLang":"en"}]},{"creatorNames":[{"creatorName":"Kaneda, Kazufumi","creatorNameLang":"en"}],"familyNames":[{"familyName":"Kaneda","familyNameLang":"en"}],"givenNames":[{"givenName":"Kazufumi","givenNameLang":"en"}]},{"creatorNames":[{"creatorName":"Yoshihara, Masaharu","creatorNameLang":"en"}],"familyNames":[{"familyName":"Yoshihara","familyNameLang":"en"}],"givenNames":[{"givenName":"Masaharu","givenNameLang":"en"}]},{"creatorNames":[{"creatorName":"Chayama, Kazuaki","creatorNameLang":"en"}],"familyNames":[{"familyName":"Chayama","familyNameLang":"en"}],"givenNames":[{"givenName":"Kazuaki","givenNameLang":"en"}]}]},"item_1617186476635":{"attribute_name":"Access Rights","attribute_value_mlt":[{"subitem_access_right":"open access","subitem_access_right_uri":"http://purl.org/coar/access_right/c_abf2"}]},"item_1617186499011":{"attribute_name":"Rights","attribute_value_mlt":[{"subitem_rights":"Copyright (c) 2010 American Society for Gastrointestinal Endoscopy Published by Mosby, Inc."}]},"item_1617186609386":{"attribute_name":"Subject","attribute_value_mlt":[{"subitem_subject":"490","subitem_subject_scheme":"NDC"}]},"item_1617186626617":{"attribute_name":"Description","attribute_value_mlt":[{"subitem_description":"Background: Because pit pattern classification of colorectal lesions is clinically useful in determining treatment options for colorectal tumors but requires extensive training, we developed a computerized system to automatically quantify and thus classify pit patterns depicted on magnifying endoscopy images.    Objective: To evaluate the utility and limitations of our automated pit pattern classification system.    Design: Retrospective study.    Setting: Department of endoscopy at a university hospital.    Main Outcome Measurements: Performance of our automated computer-based system for classification of pit patterns on magnifying endoscopic images in comparison to classification by diagnosis of the 134 regular pit pattern images by an endoscopist.    Results: For type I and II pit patterns, the results of discriminant analysis were in complete agreement with the endoscopic diagnoses. Type IIIL was diagnosed in 29 of 30 cases (96.7%) and type IV was diagnosed in 1 case. Twenty-nine of 30 cases (96.7%) were diagnosed as type IV pit pattern. The overall accuracy of our computerized recognition system was 132 of 134 (98.5%).    Conclusions: Our system is best characterized as semiautomated but is a step toward the development of a fully automated system to assist in the diagnosis of colorectal lesions based on classification of pit patterns.","subitem_description_language":"en"}]},"item_1617186643794":{"attribute_name":"Publisher","attribute_value_mlt":[{"subitem_publisher":"Mosby Elsevier"}]},"item_1617186702042":{"attribute_name":"Language","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_1617186920753":{"attribute_name":"Source Identifier","attribute_value_mlt":[{"subitem_source_identifier":"0016-5107","subitem_source_identifier_type":"ISSN"},{"subitem_source_identifier":"AA00653961","subitem_source_identifier_type":"NCID"}]},"item_1617187024783":{"attribute_name":"Page Start","attribute_value_mlt":[{"subitem_start_page":"1047"}]},"item_1617187056579":{"attribute_name":"Bibliographic Information","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2010-11","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"5","bibliographicPageEnd":"1051","bibliographicPageStart":"1047","bibliographicVolumeNumber":"72","bibliographic_titles":[{"bibliographic_title":"Gastrointestinal Endoscopy"},{"bibliographic_title":"Gastrointestinal Endoscopy"}]}]},"item_1617258105262":{"attribute_name":"Resource Type","attribute_value_mlt":[{"resourcetype":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_1617265215918":{"attribute_name":"Version Type","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_b1a7d7d4d402bcce","subitem_version_type":"AO"}]},"item_1617353299429":{"attribute_name":"Relation","attribute_value_mlt":[{"subitem_relation_type_id":{"subitem_relation_type_id_text":"10.1016/j.gie.2010.07.037","subitem_relation_type_select":"DOI"}},{"subitem_relation_type_id":{"subitem_relation_type_id_text":"http://dx.doi.org/10.1016/j.gie.2010.07.037","subitem_relation_type_select":"DOI"}}]},"item_1617605131499":{"attribute_name":"File","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2023-03-18"}],"displaytype":"simple","filename":"GastrointestEndosc_72_1047.pdf","filesize":[{"value":"739.0 KB"}],"mimetype":"application/pdf","url":{"objectType":"fulltext","url":"https://hiroshima.repo.nii.ac.jp/record/2006916/files/GastrointestEndosc_72_1047.pdf"},"version_id":"61654f17-394b-4c8a-b552-153840cefeb4"}]},"item_1732771732025":{"attribute_name":"旧ID","attribute_value":"30870"},"item_title":"Quantitative analysis and development of a computer-aided system for identification of regular pit patterns of colorectal lesions","item_type_id":"40003","owner":"41","path":["1730444907710"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2023-03-18"},"publish_date":"2023-03-18","publish_status":"0","recid":"2006916","relation_version_is_last":true,"title":["Quantitative analysis and development of a computer-aided system for identification of regular pit patterns of colorectal lesions"],"weko_creator_id":"41","weko_shared_id":-1},"updated":"2025-02-21T08:44:22.700308+00:00"}