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Found 2 papers, 1 papers with code
FedGraph: an Aggregation Method from Graph Perspective
The FedGraph takes three factors into account from coarse to fine: the proportion of each local dataset size, the topology factor of model graphs, and the model weights.
MISSFormer: An Effective Medical Image Segmentation Transformer
The CNN-based methods have achieved impressive results in medical image segmentation, but it failed to capture the long-range dependencies due to the inherent locality of convolution operation.
Ranked #9 on
Medical Image Segmentation
on Synapse multi-organ CT
(using extra training data)
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