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在CBCT上使用U-Net与频率注意的下膜神经通道细分使用U-Net

Zhiyang Liu1,2, Dong Yang1, Minghao Zhang1

  • 1College of Electronic Information and Optical Engineering, Nankai University, Tianjin 300350, China.

Bioengineering (Basel, Switzerland)
|April 27, 2024
PubMed
概括

这项研究介绍了FAUNet,这是一个改进的AI模型,用于在牙科扫描中对下膜神经 (IAN) 通道进行细分. FAUNet提高了识别IAN通道的准确性,这对于预防牙科手术期间神经损伤至关重要.

关键词:
注意力机制注意力机制卷积神经网络是一种卷积神经网络.频率域关注的注意力下层气泡神经的下层气泡神经.医疗图像细分 医疗图像细分

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