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基于深度学习的减弱校正在99mTc-GSA SPECT/CT肝脏成像中的准确性

M Miyai1, R Fukui2, M Nakashima3

  • 1Department of Radiological Technology, Graduate School of Health Sciences, Okayama University, 2-5-1 Shikata-cho, Kita-ku, Okayama-Shi, Okayama 700-8558, Japan; Department of Radiology, Kawasaki Medical School General Medical Center, 2-6-1 Nakasange, Kita-ku, Okayama-shi, Okayama 700-8505, Japan.

Radiography (London, England : 1995)
|November 16, 2024
PubMed
概括

深度学习产生伪CT图像用于SPECT减弱校正,与传统CTAC准确度相匹配. 这种方法通过消除CT扫描来减少患者的辐射暴露.

关键词:
(99m) Tc-GSA SPECT/CT 测试 测试 测试 测试 测试 测试 测试减弱校正的纠正 减弱校正的纠正深度学习是一种深度学习.生成性的对抗性网络.伪CTCT是一种假的CT.

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