Decentralized Distributed Multi-institutional PET Image Segmentation Using a Federated Deep Learning Framework.

Journal: Clinical nuclear medicine
Published Date: Apr 20, 2022

Abstract

PURPOSE: The generalizability and trustworthiness of deep learning (DL)-based algorithms depend on the size and heterogeneity of training datasets. However, because of patient privacy concerns and ethical and legal issues, sharing medical images between different centers is restricted. Our objective is to build a federated DL-based framework for PET image segmentation utilizing a multicentric dataset and to compare its performance with the centralized DL approach.

Authors

  • Isaac Shiri
    Biomedical and Health Informatics, Rajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran.
  • Alireza Vafaei Sadr
  • Mehdi Amini
    From the Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospital.
  • Yazdan Salimi
    Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, Geneva, Switzerland.
  • Amirhossein Sanaat
    Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, Geneva, Switzerland.
  • Azadeh Akhavanallaf
    Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, CH-1211, Geneva, Switzerland.
  • Behrooz Razeghi
    Department of Computer Science.
  • Sohrab Ferdowsi
    HES-SO University of Applied Sciences and Arts Western Switzerland, Geneva, Switzerland.
  • Abdollah Saberi
    Department of Computer Engineering, Islamic Azad University, Tehran, Iran.
  • Hossein Arabi
    Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, CH-1211, Geneva 4, Switzerland.
  • Minerva Becker
    Division of Radiology, Geneva University Hospital.
  • Slava Voloshynovskiy
    Department of Computer Science.
  • Deniz Gündüz
    Faculty of Engineering, Department of Electrical and Electronic Engineering, Imperial College London, London, United Kingdom.
  • Arman Rahmim
  • Habib Zaidi
    Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, CH-1211, Geneva 4, Switzerland. habib.zaidi@hcuge.ch.

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