Presents APRIL-MedSeg, a modular YAML-configurable toolbox for 2D medical image segmentation integrating semi-supervised, domain adaptation, distillation, weakly supervised, text-guided, and foundation model paradigms with unified dataset and deployment interfaces.
Mew- unet: Multi-axis representation learning in frequency domain for medical image segmentation
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DSVM-UNet improves VM-UNet by dual self-distillation, reaching state-of-the-art segmentation performance on ISIC2017, ISIC2018, and Synapse datasets.
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APRIL-MedSeg: A Modular Medical Image Segmentation Toolbox Embracing Modern Paradigms
Presents APRIL-MedSeg, a modular YAML-configurable toolbox for 2D medical image segmentation integrating semi-supervised, domain adaptation, distillation, weakly supervised, text-guided, and foundation model paradigms with unified dataset and deployment interfaces.
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DSVM-UNet : Enhancing VM-UNet with Dual Self-distillation for Medical Image Segmentation
DSVM-UNet improves VM-UNet by dual self-distillation, reaching state-of-the-art segmentation performance on ISIC2017, ISIC2018, and Synapse datasets.