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AgileFormer: Spatially Agile Transformer UNet for Medical Image Segmentation
April 2, 2024, 7:46 p.m. | Peijie Qiu, Jin Yang, Sayantan Kumar, Soumyendu Sekhar Ghosh, Aristeidis Sotiras
cs.CV updates on arXiv.org arxiv.org
Abstract: In the past decades, deep neural networks, particularly convolutional neural networks, have achieved state-of-the-art performance in a variety of medical image segmentation tasks. Recently, the introduction of the vision transformer (ViT) has significantly altered the landscape of deep segmentation models. There has been a growing focus on ViTs, driven by their excellent performance and scalability. However, we argue that the current design of the vision transformer-based UNet (ViT-UNet) segmentation models may not effectively handle the …
agile arxiv cs.cv eess.iv image medical segmentation transformer type unet
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