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Updated: Jul 5, 2025

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
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[通过深度学习技术在束CT图像中减轻合金冠上的金属工件]

L H Jia1, H L Lin1, S W Zheng2

  • 1Department of Prosthodontics, School and Hospital of Stomatology, Fujian Medical University & Fujian Key Laboratory of Oral Diseases & Fujian Provincial Engineering Research Center of Oral Biomaterial & Stomatological Key Laboratory of Fujian College and University & Institute of Stomatology, Fujian Medical University & Research Center of Dental Esthetics and Biomechanics, Fujian Medical University, Fuzhou 350002, China.

Zhonghua kou qiang yi xue za zhi = Zhonghua kouqiang yixue zazhi = Chinese journal of stomatology
|January 16, 2024
PubMed
概括

深度学习模型,CNN-MARS和U-net-MARS,有效地减少圆束CT图像中的金属工件. 与U-net-MARS相比,CNN-MARS显示了文物周围组织细节的优越保存.

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