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Reconstruction of Sparse CT Images via the Integration of Generative Adversarial Networks and Diffusion Models
Graphic and Image Processing | 更新时间：2025-02-26
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    • Reconstruction of Sparse CT Images via the Integration of Generative Adversarial Networks and Diffusion Models

    • “In the field of medical image reconstruction, researchers have proposed a residual refinement reconstruction network RRRNet that combines generative adversarial networks and diffusion models, effectively improving the quality of sparse CT image reconstruction.”
    • Software Guide   Vol. 24, Issue 2, Pages: 172-180(2025)

    • DOI：10.11907/rjdk.241064    

      CLC： TP399

    • Received：20 January 2024，

      Published：28 February 2025

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  • ZHONG Quan,WU Xi.Reconstruction of Sparse CT Images via the Integration of Generative Adversarial Networks and Diffusion Models[J].Software Guide,2025,24(02):172-180. DOI： 10.11907/rjdk.241064.

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