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Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
Published on: July 5, 2024
Ruixiang Wang1, Yuhu Wang1, Chunxia Zhang2
1National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, 100049, China.
本研究介绍了一种以树为导向的异构形图形卷积网络 (GCN),以改进图形表示学习. 这种新的方法增强了表达力和远程建模,以在复杂的图形数据上获得更好的性能.
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