{"id":236167,"updated":"2025-01-19T09:22:00.173708+00:00","links":{},"created":"2025-01-19T01:38:04.222888+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00236167","sets":["6504:11678:11689"]},"path":["11689"],"owner":"44499","recid":"236167","title":["グレースケール,カラー画像を用いた舌領域抽出の精度向上手法の提案"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-03-01"},"_buckets":{"deposit":"f2d7ea06-964f-4b0f-8c33-ef2ba2695f5b"},"_deposit":{"id":"236167","pid":{"type":"depid","value":"236167","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"グレースケール,カラー画像を用いた舌領域抽出の精度向上手法の提案","author_link":["645499","645501","645497","645500","645498","645502"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"グレースケール,カラー画像を用いた舌領域抽出の精度向上手法の提案"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"人工知能と認知科学","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2024-03-01","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"徳山高専"},{"subitem_text_value":"徳山高専"},{"subitem_text_value":"山口大"},{"subitem_text_value":"山口大"},{"subitem_text_value":"山口大"},{"subitem_text_value":"山口総合健診センター"}]},"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/236167/files/IPSJ-Z86-1U-02.pdf","label":"IPSJ-Z86-1U-02.pdf"},"date":[{"dateType":"Available","dateValue":"2024-07-03"}],"format":"application/pdf","filename":"IPSJ-Z86-1U-02.pdf","filesize":[{"value":"515.9 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"05267931-63c9-4d2d-810a-f5d2b2ee7b59","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"久家, 健斗"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"荻原, 宏是"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"藤田, 悠介"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"瀬川, 誠"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"浜本, 義彦"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"飯塚, 徳男"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_22_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00349328","subitem_source_identifier_type":"NCID"}]},"item_22_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"舌診とは、舌の色、大きさ、厚さ、形、舌苔の状態を診ることで健康状況を知り、疫病情報を獲得する方法である。この診断は、医師の知識や経験に依存するため、定量的な評価の確立が期待されている。また、舌診を行うには画像内から舌の領域を正確に切り取る必要がある。本研究では、患者の画像から舌領域を抽出することを目的とし、セマンティックセグメンテーション用のモデルであるU-Netを用いて、グレースケール画像とカラー画像の2種類を入力し学習する手法を提案した。実験により、グレースケール画像、カラー画像単体での学習よりも精度が向上したことを確認した。","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"660","bibliographic_titles":[{"bibliographic_title":"第86回全国大会講演論文集"}],"bibliographicPageStart":"659","bibliographicIssueDates":{"bibliographicIssueDate":"2024-03-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2024"}]},"relation_version_is_last":true,"weko_creator_id":"44499"}}