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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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Furkejuvvon:
Váldodahkkit: 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
Materiálatiipa: Artigo
Giella:Inglês
Almmustuhtton: Frontiers Media S.A. 2023-05-01
Ráidu:Frontiers in Neuroscience
Fáttát:
deep learning
federated learning
multiple sclerosis
segmentation
MRI
Liŋkkat:https://www.frontiersin.org/articles/10.3389/fnins.2023.1167612/full
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