FedMSRW: Federated MS Lesion Segmentation via Dynamic Re-Weighting Mechanisms

doi:doi:10.57702/34go12tf

FedMSRW: Federated MS Lesion Segmentation via Dynamic Re-Weighting Mechanisms

MS Lesion Segmentation: Revisiting Weighting Mechanisms for Federated Learning

BibTex:

@dataset{Zihao_Tang_and_Mariano_Cabezas_and_Dongang_Wang_and_Zihao_Tang_and_Lei_Bai_and_Geng_Zhan_and_Yuling_Luo_and_Kain_Kyle_and_Linda_Ly_and_James_Yu_and_Chun-Chien_Shieh_and_Aria_Nguyen_and_Ettikan_Kandasamy_Karuppiah_and_Ryan_Sullivan_and_Fernando_Calamante_and_Michael_Barnett_and_Wanli_Ouyang_and_Weidong_Cai_and_Chenyu_Wang_2024,
    abstract = {MS Lesion Segmentation: Revisiting Weighting Mechanisms for Federated Learning},
    author = {Zihao Tang and Mariano Cabezas and Dongang Wang and Zihao Tang and Lei Bai and Geng Zhan and Yuling Luo and Kain Kyle and Linda Ly and James Yu and Chun-Chien Shieh and Aria Nguyen and Ettikan Kandasamy Karuppiah and Ryan Sullivan and Fernando Calamante and Michael Barnett and Wanli Ouyang and Weidong Cai and Chenyu Wang},
    doi = {10.57702/34go12tf},
    institution = {No Organization},
    keyword = {'Federated Learning', 'Image Analysis', 'Lesion Segmentation', 'Multiple Sclerosis'},
    month = {dec},
    publisher = {TIB},
    title = {FedMSRW: Federated MS Lesion Segmentation via Dynamic Re-Weighting Mechanisms},
    url = {https://service.tib.eu/ldmservice/dataset/fedmsrw--federated-ms-lesion-segmentation-via-dynamic-re-weighting-mechanisms},
    year = {2024}
}