A new segmentation architecture combining Fourier-based KAN convolution and a gated recurrent patch-sequence module improves hepatic vessel CT segmentation Dice by 1.78 points over TransUNet on one benchmark.
Computational methods for liver vessel segmentation in medical imaging: A review,
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SegKAN: High-Resolution Medical Image Segmentation with Long-Distance Dependencies
A new segmentation architecture combining Fourier-based KAN convolution and a gated recurrent patch-sequence module improves hepatic vessel CT segmentation Dice by 1.78 points over TransUNet on one benchmark.