Robust Brain Tumor Segmentation With Incomplete MRI Modalities Using Hölder Divergence and Mutual Information-Enhanced Knowledge TransferOA
Robust Brain Tumor Segmentation With Incomplete MRI Modalities Using Hölder Divergence and Mutual Information-Enhanced Knowledge Transfer
Runze Cheng;Xihang Qiu;Ming Li;Ye Zhang;Fei Richard Yu;Chun Li
MSU-BIT-SMBU Joint Research Center of Applied Mathematics,Shenzhen MSU-BIT University,Shenzhen 518172,China||Institute of Control Theory and Control Engineering,School of Automation,Beijing Institute of Technology,Beijing 100081,ChinaMSU-BIT-SMBU Joint Research Center of Applied Mathematics,Shenzhen MSU-BIT University,Shenzhen 518172,China||Institute of Control Theory and Control Engineering,School of Automation,Beijing Institute of Technology,Beijing 100081,ChinaGuangdong Laboratory of Artificial Intelligence and Digital Economy(SZ),Shenzhen 518083,ChinaMSU-BIT-SMBU Joint Research Center of Applied Mathematics,Shenzhen MSU-BIT University,Shenzhen 518172,China||School of Mathematics and Statistics,Beijing Institute of Technology,Beijing 100081,ChinaGuangdong Laboratory of Artificial Intelligence and Digital Economy(SZ),Shenzhen 518083,ChinaMSU-BIT-SMBU Joint Research Center of Applied Mathematics,Shenzhen MSU-BIT University,Shenzhen 518172,China
Brain-tumor segmentationdivergence learningknowledge distillationmissing modality learning
Brain-tumor segmentationdivergence learningknowledge distillationmissing modality learning
《自动化学报（英文版）》 2026 (4)
939-954,16
This work was supported by the National Key Research and Development Program of China(2025YFE0113400,2022YFC3310300),Guangdong Basic and Applied Basic Research Foundation(2024A1515011774),the National Natural Science Foundation of China(12171036),Shenzhen Sci-Tech Fund(RCJC20231211090030059),and Beijing Natural Science Foundation(Z210001).
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