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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9314968 | PMC |
| http://dx.doi.org/10.1111/dme.14834 | DOI Listing |
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Shandong University, No. 72, Binhai Road, Jimo, Qingdao City, Shandong Province, Qingdao, 266200, CHINA.
U-Net is widely used in medical image segmentation due to its simple and flexible architecture design. To address the challenges of scale and complexity in medical tasks, several variants of U-Net have been proposed. In particular, methods based on Vision Transformer (ViT), represented by Swin UNETR, have gained widespread attention in recent years.
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