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Found 2 papers, 1 papers with code
PCCA-Model: an attention module for medical image segmentation
Based on the idea that the human visual cortex differs in terms of the size of the receptive field and can sense the stimulus location, we propose the pyramid channel coordinate attention (PCCA) module to fuse multiscale features in the channel direction, aggregate local and global channel information, combine them with the location information in the spatial direction, and then integrate them into the existing semantic segmentation network.
MA-Net: A Multi-Scale Attention Network for Liver and Tumor Segmentation
In recent years, a large number of variants of U-Net based on Multi-scale feature fusion are proposed to improve the segmentation performance for medical image segmentation.
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