Balanced synthetic image augmentation via GANs and diffusion models raises average AUC from 0.9206 to 0.9362 for FedAvg and 0.9429 to 0.9574 for FedProx in federated breast ultrasound classification.
Feddg: Federated domain generalization on medical image segmentation via episodic learning in continuous frequency space
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Federated Breast Cancer Detection Enhanced by Synthetic Ultrasound Image Augmentation
Balanced synthetic image augmentation via GANs and diffusion models raises average AUC from 0.9206 to 0.9362 for FedAvg and 0.9429 to 0.9574 for FedProx in federated breast ultrasound classification.