Our new paper, “Domain Generalization with Fourier Transform and Soft Thresholding,” has been accepted at IEEE ICASSP 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: arxiv.org
