Multiple sclerosis lesion segmentation: revisiting weighting mechanisms for federated learning

Background and introductionFederated learning (FL) has been widely employed for medical image analysis to facilitate multi-client collaborative learning without sharing raw data. Despite great success, FL's applications remain suboptimal in neuroimage analysis tasks such as lesion segmentation in mu...

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Detalhes bibliográficos

Principais autores:	Dongnan Liu, Mariano Cabezas, Dongang Wang, Zihao Tang, Lei Bai, Geng Zhan, Yuling Luo, Kain Kyle, Linda Ly, James Yu, Chun-Chien Shieh, Aria Nguyen, Ettikan Kandasamy Karuppiah, Ryan Sullivan, Fernando Calamante, Michael Barnett, Wanli Ouyang, Weidong Cai, Chenyu Wang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2023-05-01
coleção:	Frontiers in Neuroscience
Assuntos:	deep learning federated learning multiple sclerosis segmentation MRI
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/fnins.2023.1167612/full
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