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From Optimization to Generalization: Fair Federated Learning against Quality Shift via Inter-Client Sharpness Matching
In this study, we pioneer the identification and formulation of this new fairness challenge within the context of the imaging quality shift.
Skull-RCNN: A CNN-based network for the skull fracture detection
Guiding by the morphological features of the skull, a skeleton-based region proposal method is proposed to make candidate boxes more concentrated in key regions and reduce invalid boxes.
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