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Geometric and dosimetric evaluation of deep learning-based organs at risk auto-segmentation for rectal cancer
RADIOBIOLOGY AND RADIOMEDICINE | 更新时间:2025-03-01
    • Geometric and dosimetric evaluation of deep learning-based organs at risk auto-segmentation for rectal cancer

    • A study by Fudan University Affiliated Cancer Hospital shows that deep learning automatic delineation of endangered organs is highly similar to manual delineation by doctors, with little impact on dose distribution and potential for clinical application.
    • Journal of Radiation Research and Radiation Processing   Vol. 40, Issue 2, Pages: 60-68(2022)
    • DOI:10.11889/j.1000-3436.2021-0208    

      CLC: R815
    • Received:31 August 2021

      Revised:26 September 2021

      Accepted:2021-09-26

      Published:20 April 2022

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  • GUO Hongbo,WANG Jiazhou,YANG Cui,et al.Geometric and dosimetric evaluation of deep learning-based organs at risk auto-segmentation for rectal cancer[J].Journal of Radiation Research and Radiation Processing,2022,40(02):60-68. DOI: 10.11889/j.1000-3436.2021-0208.

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