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Updated: Feb 14, 2026

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data
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From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data

Published on: August 13, 2014

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由图形引导的频率增强状态空间网络,用于从MR图像中进行3D脊柱细分

Linghui Hong1,2,3, Zhengchao Zhou1,2,3, Wanbo Xu4,5

  • 1Center for Medical Artificial Intelligence, Shandong University of Traditional Chinese Medicine, Qingdao, China.

Journal of applied clinical medical physics
|February 12, 2026
PubMed
概括

一个新的图形引导频率增强状态空间网络 (GF-SSNet) 实现了精确的3D多模态脊柱MRI细分. 这种方法改善了全球建模和边界划分,以更好地通过计算机辅助诊断脊髓疾病.

关键词:
频率动态卷积的频率动态卷积图表 卷积网络 卷积网络脊柱MRI细分的部分化国家空间模型国家空间模型

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