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Seiya Sato1, Atsushi Urikura2, Makoto Mimatsu1

  • 1Department of Radiological Technology, Radiological Diagnosis, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-Ku, Tokyo, 104-0045, Japan.

概括

基于深度学习的图像处理 (DLIP) 软件有效地降低了图像噪声,提高了低对比度的检测能力,保持了与基于模型的代重建 (MBIR) 和基于深度学习的重建 (DLR) 相比的分辨率. 这项技术显示出提高医学成像质量的前景.

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