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Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
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气道管状特征增强网络的方向感知卷积.

Qibiao Wu1, Yagang Wang1, Qian Zhang2

  • 1School of Optical-electrical and Computer Engineering, University of shanghai for science and technology, Shanghai, 200093, China.

Medical image analysis
|November 26, 2025
PubMed
概括

本研究介绍了TfeNet,这是一个新的深度学习模型,用于CT扫描中的自动气道细分. TfeNet提高了细分复杂的气道结构的准确性和连续性,这对于支气管镜导航至关重要.

关键词:
气道细分是指空气道的细分阶级不平衡造成的不平衡可变形卷积的可变形卷积.功能融合的特点是:

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