Multi-View Deep Learning for Mandibular Landmark Localization

doi:10.1016/j.jdent.2025.106295

2025-12-10

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DOI：10.1016/j.jdent.2025.106295

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摘要

En 中文

• 开发了针对下颌骨标志点在3D表面模型上的深度学习方法 • 利用基于STL的CBCT重建而非传统体素数据 • 通过多视图学习实现准确、快速且鲁棒性的定位 • 在19个解剖标志点上的平均定位误差为1.13 mm • 处理时间从每侧下颌骨的356秒减少至19.65秒

期刊

Journal of Dentistry

IF:

5.5

论文数:

1.3K

被引数:

1.7W

机构

Beijing University of Post and Telecommunications

学者数:

论文数: 11

被引数: 0

nhc key laboratory of digital stomatology

学者数:

论文数: 5

被引数: 0

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