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Updated: Jan 8, 2026

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渐进式课程学习与规模增强的U-Net用于持续的气道细分.

Bingyu Yang1,2, Qingyao Tian1,2, Huai Liao3

  • 1State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.

BMC medical imaging
|December 17, 2025
PubMed
概括

这项研究引入了一种新的深度学习方法,用于CT扫描中精确的气道细分,提高连续性和准确性,特别是对于小型气道,这对于外科规划和导航至关重要.

关键词:
气道树是一种气道树.CT图像细分的部分化CT图像细分课程学习学习课程学习这就是U-Net.

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