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在CBCT图像中对下管道的2D,2.5D和3D细分网络进行比较:对公共和外部数据集的研究

Su Yang1, Jong Soo Jeong2, Dahyun Song3

  • 1Department of Applied Bioengineering, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, 08826, South Korea.

BMC oral health
|July 8, 2025
PubMed
概括

在CBCT扫描中,3D-UNet擅长细分下沟通道 (MCs),性能优于2D和2.5D网络. 图像裁剪和高级丢失功能进一步提高了MC细分的准确性和细节性.

关键词:
三维细分网络的3D细分网络.在CBCT图像中.深度学习是一种深度学习.图像细分 图像细分 图像细分部通道是指下部的通道.

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