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Correction to: Development and validation of [18 F]-PSMA-1007 PET-based radiomics model to predict biochemical recurrence-free survival following radical prostatectomy.

This document is a correction notice for an article titled "Development and validation of [18 F]-PSMA-1007 PET-based radiomics model to predict biochemical recurrence-free survival following radical prostatectomy" published in the European Journal of Nuclear Medicine & Molecular Imaging. The correct...

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Published in:European Journal of Nuclear Medicine & Molecular Imaging Vol. 51; no. 9; pp. 2850 - 2853
Main Authors: Li, Tiancheng, Xu, Mimi, Yang, Shuye, Wang, Guolin, Liu, Yinuo, Liu, Kaifeng, Zhao, Kui, Su, Xinhui
Format: Journal Article
Published: Springer Nature Jul2024
Online Access:View this record in EBSCOhost
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      pub: Springer Nature
      place: New York, New York
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        atl: Correction to: Development and validation of [18 F]-PSMA-1007 PET-based radiomics model to predict biochemical recurrence-free survival following radical prostatectomy.
      aug:
        au:
          Li, Tiancheng
          Xu, Mimi
          Yang, Shuye
          Wang, Guolin
          Liu, Yinuo
          Liu, Kaifeng
          Zhao, Kui
          Su, Xinhui
        affil: Department of Nuclear Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Road, 310003, Hangzhou, People's Republic of China
      sug:
      ab: This document is a correction notice for an article titled "Development and validation of [18 F]-PSMA-1007 PET-based radiomics model to predict biochemical recurrence-free survival following radical prostatectomy" published in the European Journal of Nuclear Medicine & Molecular Imaging. The correction addresses an error in Figure 7 of the original article. The incorrect version of the figure is shown, followed by the correct version. The correction has been made by the authors. The publisher, Springer Nature, remains neutral in terms of jurisdictional claims and institutional affiliations. The authors of the article are Tiancheng Li, Mimi Xu, Shuye Yang, Guolin Wang, Yinuo Liu, Kaifeng Liu, Kui Zhao, and Xinhui Su.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Unknown
    language: English
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