FKD-Med: Privacy-Aware, Communication-Optimized Medical Image Segmentation via Federated Learning and Model Lightweighting Through Knowledge Distillation

Advances in deep learning have revolutionized medical image segmentation, facilitating the precise delineation of complex anatomical structures. The scarcity of annotated training samples remains a significant bottleneck. To tackle the data limitation, federated learning (FL) offers the promise of p...

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Principais autores:	Guanqun Sun, Han Shu, Feihe Shao, Teeradaj Racharak, Weikun Kong, Yizhi Pan, Jingjing Dong, Shuang Wang, Le-Minh Nguyen, Junyi Xin
格式:	Artigo
語言:	Inglês
出版:	IEEE 2024-01-01
叢編:	IEEE Access
主題:	Medical image segmentation federated learning knowledge distillation U-net
在線閱讀:	https://ieeexplore.ieee.org/document/10456909/
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