FedCCE: A class-level contribution explainable federated learning based on comparable prototypes collaboration for multi-site medical image classification - researchr publication authors

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Bo Lin, Jing Wang, Yunfei Dou, Yuquan Zhang, Wei Yue, Gang Yu, Jianwei Yin. FedCCE: A class-level contribution explainable federated learning based on comparable prototypes collaboration for multi-site medical image classification. In Xingpeng Jiang, Haiying Wang, Reda Alhajj, Xiaohua Hu, Felix Engel 0003, Mufti Mahmud, Nadia Pisanti, Xuefeng Cui, Hong Song, editors, IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023, Istanbul, Turkiye, December 5-8, 2023. pages 2085-2090, IEEE, 2023. [doi]

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