{"_buckets": {"deposit": "b0c162fd-b1a8-4ab5-be36-d7856e01cc53"}, "_deposit": {"created_by": 17, "id": "2001718", "owner": "17", "owners": [17], "owners_ext": {"displayname": "\u56f3\u66f8\u60c5\u5831\u4fc2", "username": "repository"}, "pid": {"revision_id": 0, "type": "depid", "value": "2001718"}, "status": "published"}, "_oai": {"id": "oai:nagoya.repo.nii.ac.jp:02001718", "sets": []}, "author_link": [], "control_number": "2001718", "item_1615768549627": {"attribute_name": "\u51fa\u7248\u30bf\u30a4\u30d7", "attribute_value_mlt": [{"subitem_version_resource": "http://purl.org/coar/version/c_ab4af688f83e57aa", "subitem_version_type": "AM"}]}, "item_1629683748249": {"attribute_name": "\u65e5\u4ed8", "attribute_value_mlt": [{"subitem_date_issued_datetime": "2022-11-01", "subitem_date_issued_type": "Available"}]}, "item_9_biblio_info_6": {"attribute_name": "\u66f8\u8a8c\u60c5\u5831", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2021-10", "bibliographicIssueDateType": "Issued"}, "bibliographicIssueNumber": "10", "bibliographicPageEnd": "1828", "bibliographicPageStart": "1817", "bibliographicVolumeNumber": "16", "bibliographic_titles": [{"bibliographic_title": "International Journal of Computer Assisted Radiology and Surgery", "bibliographic_titleLang": "en"}]}]}, "item_9_description_4": {"attribute_name": "\u5185\u5bb9\u8a18\u8ff0", "attribute_value_mlt": [{"subitem_description": "Purpose: The size information of detected polyps is an essential factor for diagnosis in colon cancer screening. For example, adenomas and sessile serrated polyps that are \u226510 mm are considered advanced, and shorter surveillance intervals are recommended for smaller polyps. However, sometimes the subjective estimations of endoscopists are incorrect and overestimate the sizes. To circumvent these difficulties, we developed a method for automatic binary polyp-size classification between two polyp sizes: from 1 to 9 mm and \u226510 mm. Method: We introduce a binary polyp-size classification method that estimates a polyp\u2019s three-dimensional spatial information. This estimation is comprised of polyp localisation and depth estimation. The combination of location and depth information expresses a polyp\u2019s three-dimensional shape. In experiments, we quantitatively and qualitatively evaluate the proposed method using 787 polyps of both protruded and flat types. Results: The proposed method\u2019s best classification accuracy outperformed the fine-tuned state-of-the-art image classification methods. Post-processing of sequential voting increased the classification accuracy and achieved classification accuracy of 0.81 and 0.88 for polyps ranging from 1 to 9 mm and others that are \u226510 mm. Qualitative analysis revealed the importance of polyp localisation even in polyp-size classification. Conclusions: We developed a binary polyp-size classification method by utilising the estimated three-dimensional shape of a polyp. Experiments demonstrated accurate classification for both protruded- and flat-type polyps, even though the flat type have ambiguous boundary between a polyp and colon wall.", "subitem_description_language": "en", "subitem_description_type": "Abstract"}]}, "item_9_publisher_32": {"attribute_name": "\u51fa\u7248\u8005", "attribute_value_mlt": [{"subitem_publisher": "Springer", "subitem_publisher_language": "en"}]}, "item_9_relation_43": {"attribute_name": "\u95a2\u9023\u60c5\u5831", "attribute_value_mlt": [{"subitem_relation_type": "isVersionOf", "subitem_relation_type_id": {"subitem_relation_type_id_text": "https://doi.org/10.1007/s11548-021-02477-z", "subitem_relation_type_select": "DOI"}}]}, "item_9_rights_12": {"attribute_name": "\u6a29\u5229", "attribute_value_mlt": [{"subitem_rights": "This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature\u2019s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/s11548-021-02477-z", "subitem_rights_language": "en"}]}, "item_9_source_id_7": {"attribute_name": "\u53ce\u9332\u7269\u8b58\u5225\u5b50", "attribute_value_mlt": [{"subitem_source_identifier": "1861-6410", "subitem_source_identifier_type": "PISSN"}]}, "item_access_right": {"attribute_name": "\u30a2\u30af\u30bb\u30b9\u6a29", "attribute_value_mlt": [{"subitem_access_right": "embargoed access", "subitem_access_right_uri": "http://purl.org/coar/access_right/c_f1cf"}]}, "item_creator": {"attribute_name": "\u8457\u8005", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "Itoh, Hayato", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Oda, Masahiro", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Jiang, Kai", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Mori, Yuichi", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Misawa, Masashi", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Kudo, Shin-Ei", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Imai, Kenichiro", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Ito, Sayo", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Hotta, Kinichi", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Mori, Kensaku", "creatorNameLang": "en"}]}]}, "item_files": {"attribute_name": "\u30d5\u30a1\u30a4\u30eb\u60c5\u5831", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_date", "date": [{"dateType": "Available", "dateValue": "2022-11-01"}], "displaytype": "detail", "download_preview_message": "Download / Preview is available from 2022/10/31.", "file_order": 0, "filename": "IJCARS2021_SizeEst_hitoh_NUrepository.pdf", "filesize": [{"value": "2.1 MB"}], "format": "application/pdf", "future_date_message": "Download is available from 2022/10/31.", "is_thumbnail": false, "mimetype": "application/pdf", "size": 2100000.0, "url": {"objectType": "fulltext", "url": "https://nagoya.repo.nii.ac.jp/record/2001718/files/IJCARS2021_SizeEst_hitoh_NUrepository.pdf"}, "version_id": "4c68d466-092e-470b-8117-4a4d443ef0df"}]}, "item_keyword": {"attribute_name": "\u30ad\u30fc\u30ef\u30fc\u30c9", "attribute_value_mlt": [{"subitem_subject": "Colonoscopy", "subitem_subject_scheme": "Other"}, {"subitem_subject": "Polyp-size classification", "subitem_subject_scheme": "Other"}, {"subitem_subject": "Depth estimation", "subitem_subject_scheme": "Other"}, {"subitem_subject": "Polyp localisation", "subitem_subject_scheme": "Other"}, {"subitem_subject": "Computer-aided diagnosis", "subitem_subject_scheme": "Other"}, {"subitem_subject": "Deep learning", "subitem_subject_scheme": "Other"}]}, "item_language": {"attribute_name": "\u8a00\u8a9e", "attribute_value_mlt": [{"subitem_language": "eng"}]}, "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": "Binary polyp-size classification based on deep-learned spatial information", "item_titles": {"attribute_name": "\u30bf\u30a4\u30c8\u30eb", "attribute_value_mlt": [{"subitem_title": "Binary polyp-size classification based on deep-learned spatial information", "subitem_title_language": "en"}]}, "item_type_id": "40001", "owner": "17", "path": ["312/313/314"], "permalink_uri": "http://hdl.handle.net/2237/0002001718", "pubdate": {"attribute_name": "PubDate", "attribute_value": "2021-12-13"}, "publish_date": "2021-12-13", "publish_status": "0", "recid": "2001718", "relation": {}, "relation_version_is_last": true, "title": ["Binary polyp-size classification based on deep-learned spatial information"], "weko_shared_id": -1}