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 ...
This paper presents an AVSS approach using Swin Transformer-based generative adversarial network (GAN) framework. The Swin Transformer is incorporated into the discriminator of both the VC and AVS ...
Neuroblastoma (NB), the most prevalent extracranial solid tumor among children, is characterized by a high rate of metastasis ...
The researchers used a Swin-Transformer deep learning model to analyze 142 paraffin-embedded hematoxylin-eosin-stained tumor section images to predict NB-BBM occurrence, achieving a classification ...
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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BiXT is a novel bi-directional Transformer architecture which scales linearly with ... we used a total batch-size of 512 images for our finetuning experiments presented in the paper, as well as a ...
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