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    • Bidirectional feedback iterative optimization network for joint reconstruction and segmentation of photoacoustic tomographic images

    • In the field of photoacoustic tomography, experts have proposed a deep learning framework that combines image reconstruction and segmentation, effectively improving imaging quality and segmentation accuracy, and demonstrating good application prospects.
    • Vol. 30, Issue 11, Pages: 3583-3603(2025)   

      Received:12 December 2024

      Revised:2025-04-02

      Accepted:09 April 2025

      Published:16 November 2025

    • DOI: 10.11834/jig.240743     

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  • Ai B, Sun Z, Hou Y S and Sun M C. 2025. Bidirectional feedback iterative optimization network for joint reconstruction and segmentation of photoacoustic tomographic images. Journal of Image and Graphics, 30(11):3583-3603 DOI: 10.11834/jig.240743.
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Jun Shi 上海大学通信与信息工程学院
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Jialin Peng 华侨大学计算机科学与技术学院

相关机构

School of Communication and Information Engineering, Shanghai University
Paul C Lauterbur Research Center, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences
School of Biomedical Engineering, Shanghai Jiao Tong University
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College of Computer Science and Technology, Huaqiao University
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