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Updated: Jun 16, 2026

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合成数据生成是否有效地维持临床生物标志物? 在各种成像模式中调查扩散模型

Abdullah Hosseini1, Ahmed Serag1

  • 1AI Innovation Lab, Weill Cornell Medicine-Qatar, Doha, Qatar.

Frontiers in artificial intelligence
|February 17, 2025
PubMed
概括

最先进的扩散模型产生现实的合成医疗图像,保存重要的生物标志物. 这一突破解决了医疗保健,研究和教育领域的数据隐私和稀缺问题.

关键词:
在Swin变压器网络中,临床生物标志物 临床生物标志物无噪声的扩散模型.医学成像医学成像合成数据的生成.

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