Our new paper, “Domain Generalization with Fourier Transform and Soft Thresholding,” has been accepted at IEEE ICASSP 2024!

February 18, 2024

Our research advances domain generalization by integrating soft-thresholding with Fourier-transform techniques, reducing background interference in retinal fundus image segmentation. This method, proven on public datasets, markedly enhances model generalization and accuracy, surpassing current standards.

paper link: https://arxiv.org/html/2309.09866v3

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