PAT-Unet: Paired Attention Transformer for Efficient and Accurate Segmentation of 3D Medical Images - researchr publication authors

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Qingzhi Zou, Jing Zhao, Ming Li, Lin Yuan. PAT-Unet: Paired Attention Transformer for Efficient and Accurate Segmentation of 3D Medical Images. In Qingshan Liu 0001, Hanzi Wang, Zhanyu Ma, Weishi Zheng 0001, Hongbin Zha, Xilin Chen 0001, Liang Wang, Rongrong Ji, editors, Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part XIII. Volume 14437 of Lecture Notes in Computer Science, pages 358-369, Springer, 2023. [doi]

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