H-DenseFormer: An Efficient Hybrid Densely Connected Transformer for Multimodal Tumor Segmentation

Jun Shi 0007, Hongyu Kan, Shulan Ruan, Ziqi Zhu, Minfan Zhao, Liang Qiao, Zhaohui Wang, Hong An, Xudong Xue. H-DenseFormer: An Efficient Hybrid Densely Connected Transformer for Multimodal Tumor Segmentation. In Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu Salcudean, James Duncan 0001, Tanveer F. Syeda-Mahmood, Russell H. Taylor, editors, Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part IV. Volume 14223 of Lecture Notes in Computer Science, pages 692-702, Springer, 2023. [doi]

Authors

Jun Shi 0007

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Hongyu Kan

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Shulan Ruan

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Ziqi Zhu

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Minfan Zhao

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Liang Qiao

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Zhaohui Wang

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Hong An

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Xudong Xue

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