Decentralized collaborative multi-institutional PET attenuation and scatter correction using federated deep learning

被引：0
|
作者：
Isaac Shiri
Alireza Vafaei Sadr
Azadeh Akhavan
Yazdan Salimi
Amirhossein Sanaat
Mehdi Amini
Behrooz Razeghi
Abdollah Saberi
Hossein Arabi
Sohrab Ferdowsi
Slava Voloshynovskiy
Deniz Gündüz
Arman Rahmim
Habib Zaidi
机构：
[1] Geneva University Hospital,Division of Nuclear Medicine and Molecular Imaging
[2] University of Geneva,Department of Theoretical Physics and Center for Astroparticle Physics
[3] RWTH Aachen University Hospital,Institute of Pathology
[4] University of Geneva,Department of Computer Science
[5] HES-SO,Department of Electrical and Electronic Engineering
[6] University of Geneva,Departments of Radiology and Physics
[7] Imperial College London,Department of Integrative Oncology
[8] University of British Columbia,Department of Nuclear Medicine and Molecular Imaging
[9] BC Cancer Research Institute,Department of Nuclear Medicine
[10] Geneva University Neurocenter,undefined
[11] Geneva University,undefined
[12] University of Groningen,undefined
[13] University Medical Center Groningen,undefined
[14] University of Southern Denmark,undefined
来源：
European Journal of Nuclear Medicine and Molecular Imaging | 2023年 / 50卷
关键词：
PET; Attenuation correction; Deep learning; Federated learning; Distributed learning;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：1034 / 1050
页数：16
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