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Updated: Jul 25, 2025

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在COVID-19时代,用于放射学和深度学习的基于补丁的循环一致的生成对抗网络 (Cycle-GAN) 的非对比CT合成

Reza Kalantar1, Sumeet Hindocha1,2,3,4, Benjamin Hunter3,4

  • 1Division of Radiotherapy and Imaging, the Institute of Cancer, London, SM2 5NG, UK.

Scientific reports
|June 29, 2023
PubMed
概括

生成对抗网络 (GAN) 可以为COVID-19研究创建现实的合成CT图像. 然而,在机器学习模型中使用这些GAN合成图像降低了性能,并警告不要在医学成像应用中使用它们.

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