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Updated: Jul 5, 2025

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
04:48

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Published on: July 5, 2024

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基于变压器多头自我注意机制和图形卷积网络的多omics数据集成的一种半监督方法

Jiahui Wang1, Nanqing Liao2, Xiaofei Du1

  • 1School of Computer and Information Security, Guilin University of Electronic Technology, No. 1 Jinji Road, Guilin City, 541004, Guangxi Zhuang Autonomous Region, China.

BMC genomics
|January 23, 2024
PubMed
概括

这项研究引入了MOSEGCN,这是一种用于多omics数据分析的新方法,可以提高复杂疾病分类的准确性. MOSEGCN有效地整合了各种各样的数据,有助于个性化医疗和生物标志物发现.

关键词:
图表 卷积网络 卷积网络多头自我注意力机制.多个omics的多个omics.半监督学习 半监督学习

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