DuAT: Dual-Aggregation Transformer Network for Medical Image
Segmentation

DuAT: Dual-Aggregation Transformer Network for Medical Image Segmentation

21 December 2022

Jionglong Su

Papers citing "DuAT: Dual-Aggregation Transformer Network for Medical Image Segmentation"

7 / 7 papers shown

Title
A Survey on Deep Learning for Polyp Segmentation: Techniques, Challenges and Future Trends Jiaxin Mei Tao Zhou Kaiwen Huang Yizhe Zhang Yi Zhou Ye Wu Huazhu Fu 149 12 0 20 Jan 2025
Learning to utilize image second-order derivative information for crisp edge detection Changsong Liu Wei Zhang Mingyang Li Yimeng Fan Yanyan Liu Y. Li W. Li L. Zhang 14 0 0 09 Jun 2024
SSG2: A new modelling paradigm for semantic segmentation F. Diakogiannis S. Furby P. Caccetta Xiaoliang Wu Rodrigo Ibata O. Hlinka John Taylor VLM 17 0 0 12 Oct 2023
UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with Transformer Haonan Wang Peng Cao Jiaqi Wang Osmar R. Zaiane MedIm ViT 121 692 0 09 Sep 2021
CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical Objects Ange Lou Shuyue Guan Hanseok Ko Murray H. Loew 136 188 0 16 Aug 2021
Transformer in Transformer Kai Han An Xiao Enhua Wu Jianyuan Guo Chunjing Xu Yunhe Wang ViT 282 1,518 0 27 Feb 2021
TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation Yundong Zhang Huiye Liu Qiang Hu ViT MedIm 198 869 0 16 Feb 2021