Multiple sclerosis lesion segmentation: revisiting weighting mechanisms for federated learning

BACKGROUND AND INTRODUCTION: Federated 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 segmentatio...

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Detalles Bibliográficos
Autores principales: Liu, Dongnan, Cabezas, Mariano, Wang, Dongang, Tang, Zihao, Bai, Lei, Zhan, Geng, Luo, Yuling, Kyle, Kain, Ly, Linda, Yu, James, Shieh, Chun-Chien, Nguyen, Aria, Kandasamy Karuppiah, Ettikan, Sullivan, Ryan, Calamante, Fernando, Barnett, Michael, Ouyang, Wanli, Cai, Weidong, Wang, Chenyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10232857/
https://www.ncbi.nlm.nih.gov/pubmed/37274196
http://dx.doi.org/10.3389/fnins.2023.1167612

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10232857/
https://www.ncbi.nlm.nih.gov/pubmed/37274196
http://dx.doi.org/10.3389/fnins.2023.1167612

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