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Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities
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基于多模式成像的可解释深度学习框架,用于区分布鲁塞拉和结核性脊髓炎:双中心研究

Mayidili Nijiati1,2,3, Mei Zhang2, Chencui Huang4

  • 1Department of Radiology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi 830002, China.

Diagnostics (Basel, Switzerland)
|December 11, 2025
PubMed
概括

使用CT和MRI数据的深度学习模型有效地区分布鲁塞拉脊髓炎 (BS) 和结核脊髓炎 (TS). 与人类放射科医生相比,这种AI方法显示出更高的诊断准确性和速度,有助于临床实践.

关键词:
布鲁塞拉脊椎炎是一种疾病.深度学习是一种深度学习.多模式成像技术多模式成像技术结核病脊椎炎是一种疾病.

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