A U-Net-style model that jointly applies channel and pyramid attention improves multi-organ CT segmentation over the TransUNet baseline on the Synapse dataset.
Our approach demonstrates notable im- provements in segmentation accuracy and generalization, par- ticularly for challenging organs in abdominal CT scans
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J-CaPA : Joint Channel and Pyramid Attention Improves Medical Image Segmentation
A U-Net-style model that jointly applies channel and pyramid attention improves multi-organ CT segmentation over the TransUNet baseline on the Synapse dataset.