{"id":209822,"created":"2025-01-19T01:11:06.434965+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00209822","sets":["1164:4619:10416:10532"]},"path":["10532"],"owner":"44499","recid":"209822","title":["Quantifying Detection Quality in Presence of Adversarial Inputs in Dermatological Images"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-02-25"},"_buckets":{"deposit":"9de87cc3-4368-4e97-bce7-adba12670d37"},"_deposit":{"id":"209822","pid":{"type":"depid","value":"209822","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"Quantifying Detection Quality in Presence of Adversarial Inputs in Dermatological Images","author_link":["530006","530003","530005","530004","530001","530002"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Quantifying Detection Quality in Presence of Adversarial Inputs in Dermatological Images"},{"subitem_title":"Quantifying Detection Quality in Presence of Adversarial Inputs in Dermatological Images","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"セッション3-2","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2021-02-25","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"Department of Information & Communication Engineering, The University of Tokyo"},{"subitem_text_value":"exMedio Inc."},{"subitem_text_value":"Department of Information & Communication Engineering, The University of Tokyo"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Department of Information & Communication Engineering, The University of Tokyo","subitem_text_language":"en"},{"subitem_text_value":"exMedio Inc.","subitem_text_language":"en"},{"subitem_text_value":"Department of Information & Communication Engineering, The University of Tokyo","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/209822/files/IPSJ-CVIM21225024.pdf","label":"IPSJ-CVIM21225024.pdf"},"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-CVIM21225024.pdf","filesize":[{"value":"1.3 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"20"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_login","version_id":"1606a82e-ddbc-4cb6-9d31-a71bb557bd7c","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2021 by the Institute of Electronics, Information and Communication Engineers This SIG report is only available to those in membership of the SIG."}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Sourav, Mishra"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Hideaki, Imaizumi"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Toshihiko, Yamasaki"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Sourav, Mishra","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Hideaki, Imaizumi","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Toshihiko, Yamasaki","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11131797","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8701","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"We have tested deep learning based detection on dermatological conditions commonly encountered in clinical settings. Despite successes in diagnosing critical and morbid conditions such as Melanoma, it is not well understood if such models can reduce the patient burden on doctors by screening benign diseases. Most projects traditionally use pristine data acquired in controlled conditions. This may not reflect regular clinical workflows where image quality is non-ideal. We test the performance of deep learning methods on such data by simulating imperfections on user-submitted images of common disease labels. In our study, we have found the overall predictions change significantly despite robust training, contraindicating the maturity to enter mainstream medical diagnostics.","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"We have tested deep learning based detection on dermatological conditions commonly encountered in clinical settings. Despite successes in diagnosing critical and morbid conditions such as Melanoma, it is not well understood if such models can reduce the patient burden on doctors by screening benign diseases. Most projects traditionally use pristine data acquired in controlled conditions. This may not reflect regular clinical workflows where image quality is non-ideal. We test the performance of deep learning methods on such data by simulating imperfections on user-submitted images of common disease labels. In our study, we have found the overall predictions change significantly despite robust training, contraindicating the maturity to enter mainstream medical diagnostics.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"研究報告コンピュータビジョンとイメージメディア（CVIM）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2021-02-25","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"24","bibliographicVolumeNumber":"2021-CVIM-225"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"updated":"2025-01-19T18:22:45.417815+00:00","links":{}}