FSAUnet: Anisotropy-Aware Focal Modulation and Class-Aware MAC-Loss for 3-D Medical Image Segmentation
FSAUnet, a parameter-efficient three-dimensional segmentation framework built upon the self-configuring nnU-Net pipeline and featuring three innovations, obtains higher cross-validation mean Dice with fewer parameters under the evaluated settings, without establishing statistical significance, strict architecture-only...