Enhanced brain tumour segmentation using a hybrid dual encoder–decoder model in federated learning

Brain tumour segmentation is an important task in medical imaging, that requires accurate tumour localization for improved diagnostics and treatment planning. However, conventional segmentation models often struggle with boundary delineation and generalization across heterogeneous datasets. Furtherm...

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