A new convolution layer uses persistent homology on feature maps to guide adaptive kernel offsets, improving topological consistency in medical image segmentation.
Deu-net 2.0: Enhanced deformable u-net for 3d cardiac cine mri segmen- tation
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Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures
A new convolution layer uses persistent homology on feature maps to guide adaptive kernel offsets, improving topological consistency in medical image segmentation.