GNNs surpass transformers in tumor medical image segmentation

Abstract To assess the suitability of Transformer-based architectures for medical image segmentation and investigate the potential advantages of Graph Neural Networks (GNNs) in this domain. We analyze the limitations of the Transformer, which models medical images as sequences of image patches, limi...

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Bibliographic Details
Main Authors: Huimin Xiao, Guanghua Yang, Zhuocheng Li, Changhua Yi
Format: Article
Language:English
Published: Nature Portfolio 2025-06-01
Series:Scientific Reports
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Online Access:https://doi.org/10.1038/s41598-025-00002-9
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