{"created":"2024-10-25T01:10:55.782247+00:00","id":2001001,"links":{},"metadata":{"_buckets":{"deposit":"7ffba67b-ec35-456d-a5c4-02fd3193de18"},"_deposit":{"created_by":15,"id":"2001001","owner":"15","owners":[15],"pid":{"revision_id":0,"type":"depid","value":"2001001"},"status":"published"},"_oai":{"id":"oai:mie-u.repo.nii.ac.jp:02001001","sets":["366:680:1728958155548"]},"author_link":[],"control_number":"2001001","item_8_biblio_info_6":{"attribute_name":"bibliographic_information","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2023-05-22","bibliographicIssueDateType":"Issued"}}]},"item_8_description_14":{"attribute_name":"フォーマット","attribute_value_mlt":[{"subitem_description":"application/pdf","subitem_description_type":"Other"}]},"item_8_description_4":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"顎骨骨髄炎は骨髄に起こる感染症であり口腔外科領域における最も難治性の高い疾患の一つである．本研究では，手術精度の向上を目的として，術前CT画像と術後病理画像位置合わせによるアノテーション手法，術前CT画像から顎骨骨髄炎発症範囲を高精度に推定する手法を構築した．術前CT・術後病理画像の位置合わせは8名中5名について成功した．また，対照学習とSVMを組み合わせた骨髄炎発症範囲推定法は，9名の頭部3次元CT画像を用いた実験から，F値0.734の精度で骨髄炎発症範囲を推定できることを確認した．また，これらの成果を国内学会4件・国際会議3件で報告済み，論文誌1報を投稿済みである．","subitem_description_language":"ja","subitem_description_type":"Abstract"},{"subitem_description":"Osteomyelitis of the jaw (OMJ) is a serious bacterial infection, which is the one of the most intractable diseases in the oral surgery field. To improve the surgical outcome, this study proposed two methods; Automatic annotation of osteomyelitis region based on the post-operative pathological image to pre-operative CT image registration, and osteomyelitis region segmentation method using contrastive learning and support vector machine. The post-operative pathological image and pre-operative CT image registration was succeeded in 5 patients over 8 patients, and the osteomyelitis region segmentation was performed in F1 of 0.734 on 9 osteomyelitis patients' head CT images. Finally, we reported above achievements in 4 domestic conferences and 3 international conferences, and one journal paper is now under reviewing.","subitem_description_language":"en","subitem_description_type":"Abstract"}]},"item_8_description_5":{"attribute_name":"内容記述","attribute_value_mlt":[{"subitem_description":"2020年度～2022年度科学研究費補助金(若手研究)研究成果報告書","subitem_description_type":"Other"}]},"item_8_description_64":{"attribute_name":"科研費番号","attribute_value_mlt":[{"subitem_description":"20K20221","subitem_description_type":"Other"}]},"item_8_publisher_30":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"三重大学"}]},"item_8_text_31":{"attribute_name":"出版者（ヨミ）","attribute_value_mlt":[{"subitem_text_value":"ミエダイガク"}]},"item_8_text_65":{"attribute_name":"item_8_text_65","attribute_value_mlt":[{"subitem_text_value":"Kaken / 科研費報告書"}]},"item_8_version_type_15":{"attribute_name":"出版タイプ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"盛田, 健人","creatorNameLang":"ja"},{"creatorName":"Morita, Kento","creatorNameLang":"en"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2024-10-25"}],"filename":"2024RP0091.pdf","filesize":[{"value":"926 KB"}],"format":"application/pdf","mimetype":"application/pdf","url":{"label":"2024RP0091.pdf","url":"https://mie-u.repo.nii.ac.jp/record/2001001/files/2024RP0091.pdf"},"version_id":"c5334d72-1992-43c3-a28f-a9e2115ba480"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"医用画像処理","subitem_subject_scheme":"Other"},{"subitem_subject":"人工知能","subitem_subject_scheme":"Other"},{"subitem_subject":"機械学習","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_resource_type":{"attribute_name":"item_resource_type","attribute_value_mlt":[{"resourcetype":"research report","resourceuri":"http://purl.org/coar/resource_type/c_18ws"}]},"item_title":"人工知能を用いたRadiomics解析に基づく顎骨骨髄炎診断法の構築","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"人工知能を用いたRadiomics解析に基づく顎骨骨髄炎診断法の構築","subitem_title_language":"ja"},{"subitem_title":"Computer-aided Diagnosis for Osteonecrosis of the jaw using Artificial Intelligence and Radiomics Analysis","subitem_title_language":"en"}]},"item_type_id":"8","owner":"15","path":["1728958155548"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2024-10-25"},"publish_date":"2024-10-25","publish_status":"0","recid":"2001001","relation_version_is_last":true,"title":["人工知能を用いたRadiomics解析に基づく顎骨骨髄炎診断法の構築"],"weko_creator_id":"15","weko_shared_id":-1},"updated":"2024-10-25T01:15:38.810393+00:00"}