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 |
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言語種別 | 英語 |
発行・発表の年月 | 2023/02 |
形態種別 | 研究論文 |
査読 | 査読あり |
標題 | Detection of aspiration from images of a videofluoroscopic swallowing study adopting deep learning. |
執筆形態 | 共著 |
掲載誌名 | Oral Radiology |
掲載区分 | 国外 |
巻・号・頁 | 10.1007/s11282-023-00669-8. |
担当区分 | 責任著者 |
著者・共著者 | Iida Y, Näppi J, Kitano T, Hironaka T, Katsumata A, Yoshida H. |
概要 | A videofluoroscopic swallowing study (VFSS) is conducted to detect aspiration. However, aspiration occurs within a short time and is difficult to detect. If deep learning can detect aspirations with high accuracy, clinicians can focus on the diagnosis of the detected aspirations. Whether VFSS aspirations can be classified using rapid-prototyping deep-learning tools was studied. |