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JINZE 2022年 研究業績一覧 (5件 / 34件)
著書
国際会議発表 (査読有り)
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Zhipeng Deng,
Yuqiao Yang,
Ze Jin,
Kenji Suzuki.
FedAL: An Federated Active Learning Framework for Efficient Labeling in Skin Lesion Analysis,
International Conference on Systems, Man, and Cybernetics (IEEE SMC 2022),
Oct. 2022.
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Yuqiao Yang,
Ze Jin,
Kenji Suzuki.
Federated Tumor Segmentation with Patch-wise Deep Learning Model,
25th International Conference on Medical Image Computing and Computer Assisted InterventionInternational (MICCAI) Workshop on machine learning in medical imaging (MLMI),
Sept. 2022.
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Yuqiao Yang,
Ze Jin,
Kenji Suzuki.
Federated Learning Coupled with Massive-Training Artificial Neural Networks in Tumor Segmentation in CT Images.,
The 44th International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2022),
July 2022.
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