For serial images with linear structure, 3d coherence enhancing diffusion model is introduced.
在此基础上，针对线性结构图像序列，给出了三维一致增强性扩散模型。
Finally, the performance of information diffusion yield estimation model was compared with multiple linear regression model and BP neural network model.
然后针对模型的稳定性和精度进行交叉验证，并与多元线性回归模型和BP神经网络模型进行对比。
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