研究一种基于深度学习的模型,用于测量大西洋轴心关节的X射线成像参数

Yuhua Wu1,2, Yuwen Zheng3, Jinping Zhu4

  • 1Gansu University of Traditional Chinese Medicine, Lanzhou, China. 2687925983@qq.com.

概括

一个深度学习模型,SCNet,准确地从宫X射线测量大西洋轴突 (AAS) 参数. 该模型展示了稳定性和概括能力,在地标识别和参数测量方面显示出高精度.

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