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Updated: May 6, 2026

3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography
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关于使用神经网络方法进行低剂量排放断层扫描后重建Denoising的审查

Alexandre Bousse1, Venkata Sai Sundar Kandarpa1, Kuangyu Shi2

  • 1Univ. Brest, LATIM, INSERM UMR 1101, 29238 Brest, France.

ArXiv
|February 5, 2024
PubMed
概括

低剂量排放断层扫描 (ET) 使用深度学习来减少噪音和提高图像质量. 本综述探讨了神经网络技术,以改善医疗成像,减少患者的辐射暴露.

关键词:
深度学习 (Deep Learning) 是一种深度学习.低剂量的低剂量在这里,PET是PET.斯佩克特 (Spectre) 是一个运动场.

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