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English(EN) GMN4AD: Graph Matching Network for Alzheimer's Disease Diagnosis with Test-Time Domain Adaptation using Multi-centered Structure Magnetic Resonance Imaging

新型图网络利用MRI数据改进阿尔茨海默病诊断

作者 PulseAugur 编辑部 · [2 个来源] ·

研究人员开发了GMN4AD，这是一种新颖的图匹配网络，用于使用结构磁共振成像（sMRI）诊断阿尔茨海默病（AD）。该网络通过对脑图之间的交互进行建模，并采用对比学习的测试时域自适应策略来减轻推理过程中的域偏移，从而解决了不同站点之间数据异质性带来的挑战。在公共数据集上的实验表明，GMN4AD的性能优于现有的最先进方法，为早期AD诊断提供了更鲁棒和可泛化的解决方案。 AI

影响 该新模型提供了一种更鲁棒和可泛化的方法，利用MRI数据进行早期阿尔茨海默病诊断。

排序理由 该集群包含一篇详细介绍用于医疗诊断的新模型的学术论文。

在 arXiv cs.AI 阅读 →

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报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Chen Zhao, Huan Huang, Yixin Xie, Jiajing Huang, Weihua Zhou, Nandakumar Narayanan ·

    GMN4AD: Graph Matching Network for Alzheimer's Disease Diagnosis with Test-Time Domain Adaptation using Multi-centered Structure Magnetic Resonance Imaging

    arXiv:2606.13919v1 Announce Type: cross Abstract: Alzheimer's Disease (AD) is a progressive neurodegenerative disorder that affects millions of older adults, with prevalence expected to rise significantly in the coming years. Early diagnosis, particularly during the mild cognitiv…

  2. arXiv cs.CV TIER_1 English(EN) · Nandakumar Narayanan ·

    GMN4AD: Graph Matching Network for Alzheimer's Disease Diagnosis with Test-Time Domain Adaptation using Multi-centered Structure Magnetic Resonance Imaging

    Alzheimer's Disease (AD) is a progressive neurodegenerative disorder that affects millions of older adults, with prevalence expected to rise significantly in the coming years. Early diagnosis, particularly during the mild cognitive impairment (MCI) stage, is critical for timely i…

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