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Found 2 papers, 1 papers with code
A light-weight rectangular decomposition large kernel convolution network for deformable medical image registration.
The RD-LKA layer utilizes anisotropic depth-wise large kernel convolutions to capture large receptive fields with an extremely low parameter count while modeling long-range spatial relationships.
Ranked #1 on
Medical Image Registration
on IXI
Using Large Context for Kidney Multi-Structure Segmentation from CTA Images
This paper briefly presents the main technique details of the multi-structure seg-mentation method in MICCAI 2022 KIPA challenge.
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