{"_buckets": {"deposit": "7792457a-c0f0-4ad7-856d-7b3d4c161bd7"}, "_deposit": {"created_by": 17, "id": "2007479", "owner": "17", "owners": [17], "pid": {"revision_id": 0, "type": "depid", "value": "2007479"}, "status": "published"}, "_oai": {"id": "oai:nagoya.repo.nii.ac.jp:02007479", "sets": []}, "author_link": [], "control_number": "2007479", "item_1615768549627": {"attribute_name": "出版タイプ", "attribute_value_mlt": [{"subitem_version_resource": "http://purl.org/coar/version/c_ab4af688f83e57aa", "subitem_version_type": "AM"}]}, "item_1629683748249": {"attribute_name": "日付", "attribute_value_mlt": [{"subitem_date_issued_datetime": "2024-05-01", "subitem_date_issued_type": "Available"}]}, "item_9_biblio_info_6": {"attribute_name": "書誌情報", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2023-05", "bibliographicIssueDateType": "Issued"}, "bibliographicIssueNumber": "5", "bibliographicPageEnd": "454", "bibliographicPageStart": "448", "bibliographicVolumeNumber": "159", "bibliographic_titles": [{"bibliographic_title": "American Journal of Clinical Pathology", "bibliographic_titleLang": "en"}]}]}, "item_9_description_4": {"attribute_name": "内容記述", "attribute_value_mlt": [{"subitem_description": "Objectives: Cytomorphology is known to differ depending on the processing technique, and these differences pose a problem for automated diagnosis using deep learning. We examined the as-yet unclarified relationship between cell detection or classification using artificial intelligence (AI) and the AutoSmear (Sakura Finetek Japan) and liquid-based cytology (LBC) processing techniques. Methods: The “You Only Look Once” (YOLO), version 5x, algorithm was trained on the AutoSmear and LBC preparations of 4 cell lines: lung cancer (LC), cervical cancer (CC), malignant pleural mesothelioma (MM), and esophageal cancer (EC). Detection and classification rates were used to evaluate the accuracy of cell detection. Results: When preparations of the same processing technique were used for training and detection in the 1-cell (1C) model, the AutoSmear model had a higher detection rate than the LBC model. When different processing techniques were used for training and detection, detection rates of LC and CC were significantly lower in the 4-cell (4C) model than in the 1C model, and those of MM and EC were approximately 10% lower in the 4C model. Conclusions: In AI-based cell detection and classification, attention should be paid to cells whose morphologies change significantly depending on the processing technique, further suggesting the creation of a training model.", "subitem_description_language": "en", "subitem_description_type": "Abstract"}]}, "item_9_publisher_32": {"attribute_name": "出版者", "attribute_value_mlt": [{"subitem_publisher": "Oxford University Press", "subitem_publisher_language": "en"}]}, "item_9_relation_43": {"attribute_name": "関連情報", "attribute_value_mlt": [{"subitem_relation_type": "isVersionOf", "subitem_relation_type_id": {"subitem_relation_type_id_text": "https://doi.org/10.1093/ajcp/aqac178", "subitem_relation_type_select": "DOI"}}]}, "item_9_rights_12": {"attribute_name": "権利", "attribute_value_mlt": [{"subitem_rights": "This is a pre-copyedited, author-produced version of an article accepted for publication in [American Journal of Clinical Pathology] following peer review. The version of record [Sayumi Maruyama, Nanako Sakabe, Chihiro Ito, Yuka Shimoyama, Shouichi Sato, Katsuhide Ikeda, Effect of Specimen Processing Technique on Cell Detection and Classification by Artificial Intelligence, American Journal of Clinical Pathology, Volume 159, Issue 5, May 2023, Pages 448–454, https://doi.org/10.1093/ajcp/aqac178] is available online at: https://doi.org/10.1093/ajcp/aqac178.", "subitem_rights_language": "en"}]}, "item_9_source_id_7": {"attribute_name": "収録物識別子", "attribute_value_mlt": [{"subitem_source_identifier": "0002-9173", "subitem_source_identifier_type": "PISSN"}]}, "item_access_right": {"attribute_name": "アクセス権", "attribute_value_mlt": [{"subitem_access_right": "open access", "subitem_access_right_uri": "http://purl.org/coar/access_right/c_abf2"}]}, "item_creator": {"attribute_name": "著者", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "Maruyama, Sayumi", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Sakabe, Nanako", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Ito, Chihiro", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Shimoyama, Yuka", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Sato, Shouichi", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Ikeda, Katsuhide", "creatorNameLang": "en"}]}]}, "item_files": {"attribute_name": "ファイル情報", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_date", "date": [{"dateType": "Available", "dateValue": "2024-05-01"}], "displaytype": "detail", "download_preview_message": "", "file_order": 0, "filename": "AJCP_159_5_2023_448-454.pdf", "filesize": [{"value": "1.5 MB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "mimetype": "application/pdf", "size": 1500000.0, "url": {"objectType": "fulltext", "url": "https://nagoya.repo.nii.ac.jp/record/2007479/files/AJCP_159_5_2023_448-454.pdf"}, "version_id": "0749d369-510b-409b-a13f-04461920969c"}]}, "item_language": {"attribute_name": "言語", "attribute_value_mlt": [{"subitem_language": "eng"}]}, "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": "Effect of Specimen Processing Technique on Cell Detection and Classification by Artificial Intelligence", "item_titles": {"attribute_name": "タイトル", "attribute_value_mlt": [{"subitem_title": "Effect of Specimen Processing Technique on Cell Detection and Classification by Artificial Intelligence", "subitem_title_language": "en"}]}, "item_type_id": "40001", "owner": "17", "path": ["501"], "permalink_uri": "http://hdl.handle.net/2237/0002007479", "pubdate": {"attribute_name": "PubDate", "attribute_value": "2023-09-25"}, "publish_date": "2023-09-25", "publish_status": "0", "recid": "2007479", "relation": {}, "relation_version_is_last": true, "title": ["Effect of Specimen Processing Technique on Cell Detection and Classification by Artificial Intelligence"], "weko_shared_id": -1}
Effect of Specimen Processing Technique on Cell Detection and Classification by Artificial Intelligence
http://hdl.handle.net/2237/0002007479
http://hdl.handle.net/2237/0002007479