|
モリ ミズホ
MORI Mizuho
森 瑞穂 所属 歯学部 歯科放射線学 職種 助教 |
|
| 言語種別 | 英語 |
| 発行・発表の年月 | 2021/10 |
| 形態種別 | 学術雑誌 |
| 査読 | 査読あり |
| 標題 | A deep transfer learning approach for the detection and diagnosis of maxillary sinusitis on panoramic radiographs |
| 執筆形態 | 共著 |
| 掲載誌名 | Odontology |
| 掲載区分 | 国外 |
| 出版社・発行元 | Official Journal of the Society of the Nippon Dental University |
| 巻・号・頁 | 109,pp.941-948 |
| 総ページ数 | 8 |
| 担当区分 | 筆頭著者 |
| 著者・共著者 | Mori M, Ariji Y, Katsumata A, Kawai T, Araki K, Kobayashi K, Ariji E. |
| 概要 | On panoramic radiographs, the maxillary sinus overlaps with various anatomical structures, potentially overlooking maxillary sinus disease. In a previous study, a model was created to distinguish between healthy and inflamed areas of the maxillary sinus on panoramic radiographs, creating a model that is highly accurate in detecting and diagnosing maxillary sinus. This model was created using data from one institution, but the current study used transfer learning, which transfers knowledge from one model to another, to evaluate how the model learns and how many data it has when evaluating data from other institutions. |