Abstract: CNNs have demonstrated superior performance in medical image segmentation. To overcome the limitation of only using local receptive field, previous work has attempted to integrate ...
1 AAU Energy, Aalborg University, Aalborg, Denmark 2 Center for Sustainable Energy Materials, Department of Chemistry, Aarhus University, Aarhus, Denmark The valorization of waste biomass into ...
Abstract: The success of deep learning in 3D medical image segmentation hinges on training with a large dataset of fully annotated 3D volumes, which are difficult and time-consuming to acquire.
Overview of VeloxSeg. VeloxSeg employs an encoder-decoder architecture with Paired Window Attention (PWA) and Johnson-Lindenstrauss lemma-guided convolution (JLC) on the left, using 1x1 convolution as ...
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