A dual-labeled dataset and fusion model for automatic teeth segmentation, numbering, and state assessment on panoramic radiographs

• 主要な著者: Wenbo Zhou (著者), Xin Lu (著者), Dan Zhao (著者), Meng Jiang (著者), Linlin Fan (著者), Weihang Zhang (著者), Fenglin Li (著者), Dezhou Wang (著者), Weihuang Yin (著者), Xin Liu (著者)
• フォーマット: 図書
• 出版事項: BMC, 2024-10-01T00:00:00Z.
• 主題: article
• オンライン･アクセス: Connect to this object online.

Abstract Background Recently, deep learning has been increasingly applied in the field of dentistry. The aim of this study is to develop a model for the automatic segmentation, numbering, and state assessment of teeth on panoramic radiographs. Methods We created a dual-labeled dataset on panoramic r...