カツマタ　アキトシ   KATSUMATA AKITOSHI   勝又　明敏    所属   朝日大学  大学 教育職員    職種   教授
言語種別	英語
発行・発表の年月	2022/11
形態種別	研究論文
査読	査読あり
標題	A preliminary deep learning study on automatic segmentation of contrast-enhanced bolus in videofluorography of swallowing.
執筆形態	共著
掲載誌名	Scientific Reports
掲載区分	国外
巻・号・頁	12(1),pp.18754
著者・共著者	Ariji Y, Gotoh M, Fukuda M, Watanabe S, Nagao T, Katsumata A, Ariji E.
概要	Although videofluorography (VFG) is an effective tool for evaluating swallowing functions, its accurate evaluation requires considerable time and effort. This study aimed to create a deep learning model for automated bolus segmentation on VFG images of patients with healthy swallowing and dysphagia using the artificial intelligence deep learning segmentation method, and to assess the performance of the method.