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大肠三维形状细化：基于点扩散模型的数字幻影生成

💡 原文中文，约600字，阅读约需2分钟。

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内容提要

本研究利用几何深度学习和去噪扩散概率模型改进大肠分割结果，通过分层变分自动编码器获得器官形状的全局和局部潜在表示，训练两个条件去噪扩散模型进行形状细化。实验结果表明，该方法可以有效地捕捉器官形状的全局分布和细节，为准确建模大肠表面提供了有希望的解决方案。

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