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need","volume":"30","author":"Vaswani","year":"2017","journal-title":"Adv Neural Inf Process Syst"},{"key":"ref8","series-title":"International Conference on Medical Image Computing and Computer-Assisted Intervention","first-page":"405","article-title":"MedNeXt: transformer-driven scaling of ConvNets for medical image segmentation","author":"Roy","year":"2023"},{"key":"ref9","doi-asserted-by":"crossref","first-page":"119105","DOI":"10.1016\/j.eswa.2022.119105","article-title":"Context-aware network fusing Transformer and V-Net for semi-supervised segmentation of 3D left atrium","volume":"214","author":"Zhao","year":"2023","journal-title":"Expert Syst Appl"},{"key":"ref10","doi-asserted-by":"crossref","first-page":"4036","DOI":"10.1109\/TIP.2023.3293771","article-title":"nnFormer: volumetric medical image segmentation via a 3D Transformer","volume":"32","author":"Zhou","year":"2023","journal-title":"IEEE Trans Image Process"},{"key":"ref11","first-page":"118483","article-title":"E2ENet: 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LightM-Unet: mamba assists in lightweight UNet for medical image segmentation. arXiv:2403.05246. 2024. doi:10.48550\/arXiv.2403.05246."},{"key":"ref30","unstructured":"Gu A, Dao T. Mamba: linear-time sequence modeling with selective state spaces. arXiv:2312.00752. 2023. doi:10.48550\/arXiv.2312.00752."},{"key":"ref31","unstructured":"Zhu X, Su W, Lu L, Li B, Wang X, Dai J. Deformable DETR: deformable transformers for end-to-end object detection. arXiv:2010.04159. 2020. doi:10.48550\/arXiv.2010.04159."},{"key":"ref32","series-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","first-page":"2117","article-title":"Feature pyramid networks for object detection","author":"Lin","year":"2017"},{"key":"ref33","series-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","first-page":"1251","article-title":"Xception: deep learning with depthwise separable convolutions","author":"Chollet","year":"2017"},{"key":"ref34","series-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","first-page":"984","article-title":"Pointwise convolutional neural networks","author":"Hua","year":"2018"},{"key":"ref35","unstructured":"Tao A, Sapra K, Catanzaro B. 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