Federated learning for enhanced dose-volume parameter prediction with decentralized data.

Journal: Medical physics
PMID: 39641909

Abstract

BACKGROUND: The widespread adoption of knowledge-based planning in radiation oncology clinics is hindered by the lack of data and the difficulty associated with sharing medical data.

Authors

  • Jiahan Zhang
    Department of Radiation Oncology, Duke University Medical Center, Durham, NC, United States.
  • Yang Lei
    Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA 30322.
  • Junyi Xia
    Department of Radiation Oncology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
  • Ming Chao
    Department of Radiation Oncology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
  • Tian Liu
    Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA 30322, USA.

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