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Updated: Jun 30, 2026

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
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多视图深度学习用于下的地标定位

Zixiang Gao1, Jing Wang2, Zichong An3

  • 1Center of Digital Dentistry/Department of Prosthodontics, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Beijing Key Laboratory of Digital Stomatology & NHC Key Laboratory of Digital Stomatology, Beijing 100081, China.

Journal of dentistry
|December 11, 2025
PubMed
概括

一个新的深度学习框架准确地定位了来自束计算机断层扫描 (CBCT) 的3D模型上的19个下地标. 这种方法比面手术和正牙术的传统方法更快,更精确.

关键词:
人工智能的人工智能自动地标是自动地标.深度学习 (Deep Learning) 是一种深度学习.牙是面部形的一种形式.检测算法 检测算法图像,三维的成像.一个可以口的.

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