Prompt-based three-dimensional tooth segmentation method based on pre-trained SAM(基于预训练SAM的提示式三维牙齿分割方法)

Currently, most studies employ supervised learning techniques to train networks on three-dimensional tooth data to perform annotation tasks. However, these methods often perform poorly on cases of missing teeth, severe misalignments, or incomplete jaw structures, exhibiting weak generalization capab...

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Bibliographic Details
Main Authors: 刘复昌(LIU Fuchang), 蔡煜晨(CAI Yuchen), 缪永伟(MIAO Yongwei), 范然(FAN Ran)
Format: Article
Language:zho
Published: Zhejiang University Press 2025-01-01
Series:Zhejiang Daxue xuebao. Lixue ban
Subjects:
Online Access:https://doi.org/10.3785/j.issn.1008-9497.2025.01.007
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