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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 |
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| 言語種別 | 英語 |
| 発行・発表の年月 | 2022/12 |
| 形態種別 | 学術雑誌 |
| 査読 | 査読あり |
| 標題 | Automatic visualization of the mandibular canal in relation to an impacted mandibular third molar on panoramic radiographs using deep learning segmentation and transfer learning techniques |
| 執筆形態 | 共著 |
| 掲載区分 | 国外 |
| 巻・号・頁 | 134,pp.749-757 |
| 総ページ数 | 8 |
| 著者・共著者 | Ariji Y, Mori M, Fukuda M, Katsumata A, Ariji E |
| 概要 | The mandibular canal may be damaged during extraction of mandibular third molars. Therefore, it is of fundamental importance to evaluate the mandibular third molar for contact with the inferior alveolar nerve canal prior to extraction. We evaluated the learning method and the number of data to be transferred, which can automatically visualize the presence or absence of contact between a mandibular third molar and the mandibular canal from panoramic radiographs using Segmentation and Transfer Learning. Transition learning was shown to be useful in creating models with a relatively small number of data. |