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Author Correction: Deep learning radiomics can predict axillary lymph node status in early-stage breast cancer

Author

Listed:
  • Xueyi Zheng

    (Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine)

  • Zhao Yao

    (Fudan University)

  • Yini Huang

    (Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine)

  • Yanyan Yu

    (Paul C. Lauterbur Research Center for Biomedical Imaging, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences)

  • Yun Wang

    (Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine)

  • Yubo Liu

    (Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine)

  • Rushuang Mao

    (Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine)

  • Fei Li

    (Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine)

  • Yang Xiao

    (Paul C. Lauterbur Research Center for Biomedical Imaging, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences)

  • Yuanyuan Wang

    (Fudan University
    The key laboratory of medical imaging computing and computer assisted intervention of Shanghai)

  • Yixin Hu

    (Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine)

  • Jinhua Yu

    (Fudan University
    The key laboratory of medical imaging computing and computer assisted intervention of Shanghai)

  • Jianhua Zhou

    (Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine)

Abstract

No abstract is available for this item.

Suggested Citation

  • Xueyi Zheng & Zhao Yao & Yini Huang & Yanyan Yu & Yun Wang & Yubo Liu & Rushuang Mao & Fei Li & Yang Xiao & Yuanyuan Wang & Yixin Hu & Jinhua Yu & Jianhua Zhou, 2021. "Author Correction: Deep learning radiomics can predict axillary lymph node status in early-stage breast cancer," Nature Communications, Nature, vol. 12(1), pages 1-1, December.
    • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-24605-8
    DOI: 10.1038/s41467-021-24605-8
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