We introduce a novel dual branch network called Swin Vision Transformer Net (SVTNet), where the Swin Transformer and Vision Transformer are combined to learn features with global and local information ...
This paper proposed a 3D swin transformer with multi-task joint learning framework, to simultaneously learn multiple tasks for hyperspectral tongue images. Based on the 3D swin transformer model, the ...
Ce projet combine Swin U-Net et GANs pour améliorer la segmentation des organes et des tissus sur des images médicales, tout en générant des données synthétiques pour équilibrer le dataset.
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The dataset includes fractured and non-fractured X-ray images covering all anatomical body regions, including the lower limb, upper limb, lumbar region, hips, knees, etc. The dataset is divided into ...
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