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Generative adversarial DacFormer network for MRI brain tumor segmentation

Abstract Current brain tumor segmentation methods often utilize a U-Net architecture based on efficient convolutional neural networks. While effective, these architectures primarily model local dependencies, lacking the ability to capture global interactions like pure Transformer. However, using pur...

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Auteurs principaux: Muqing Zhang, Qiule Sun, Yutong Han, Mingli Zhang, Wei Wang, Jianxin Zhang
Format: Artigo
Langue:Inglês
Publié: Nature Portfolio 2025-05-01
Collection:Scientific Reports
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Accès en ligne:https://doi.org/10.1038/s41598-025-02714-4
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