Multicenter privacy-preserving model training for deep learning brain metastases autosegmentation.

Journal: Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
PMID: 38969106

Abstract

OBJECTIVES: This work aims to explore the impact of multicenter data heterogeneity on deep learning brain metastases (BM) autosegmentation performance, and assess the efficacy of an incremental transfer learning technique, namely learning without forgetting (LWF), to improve model generalizability without sharing raw data.

Authors

  • Yixing Huang
    Pattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg, Martensstr. 3, 91058, Erlangen, Germany. yixing.yh.huang@fau.de.
  • Zahra Khodabakhshi
    Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
  • Ahmed Gomaa
    Department of Radiation Oncology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany; Comprehensive Cancer Center Erlangen-EMN (CCC ER-EMN), Erlangen, Germany; Bavarian Cancer Research Center (BZKF), Erlangen, Germany.
  • Manuel Schmidt
    Department of Neuroradiology, University of Erlangen-Nuremberg, Schwabachanlage 6, 91054, Erlangen, Germany.
  • Rainer Fietkau
    Department of Radiation Oncology, Universitätsklinikum Erlangen & Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.
  • Matthias Guckenberger
    Department of Radiation Oncology, University Hospital Zurich, Switzerland.
  • Nicolaus Andratschke
    Department of Radiation Oncology, University Medicine Rostock, Rostock, Germany. nicolaus.andratschke@usz.ch.
  • Christoph Bert
    Department of Radiation Oncology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
  • Stephanie Tanadini-Lang
    Department of Radiation Oncology, University Hospital Zurich, Zurich, Switzerland.
  • Florian Putz
    Department of Radiation Oncology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.

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