Optimizing Vision Transformers for Medical Image Segmentation

14 October 2022

Papers citing "Optimizing Vision Transformers for Medical Image Segmentation"

7 / 7 papers shown

Title
Vision Foundation Models in Medical Image Analysis: Advances and Challenges Pengchen Liang Bin Pu Haishan Huang Yiwei Li H. Wang Weibo Ma Qing Chang VLM MedIm 99 0 0 24 Feb 2025
MISSFormer: An Effective Medical Image Segmentation Transformer Xiaohong Huang Zhifang Deng Dandan Li Xueguang Yuan ViT MedIm 87 172 0 15 Sep 2021
TransAttUnet: Multi-level Attention-guided U-Net with Transformer for Medical Image Segmentation Bingzhi Chen Yishu Liu Zheng-Wei Zhang Guangming Lu A. W. Kong MedIm ViT 101 208 0 12 Jul 2021
Convolution-Free Medical Image Segmentation using Transformers Davood Karimi Serge Vasylechko Ali Gholipour ViT MedIm 84 121 0 26 Feb 2021
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions Wenhai Wang Enze Xie Xiang Li Deng-Ping Fan Kaitao Song Ding Liang Tong Lu Ping Luo Ling Shao ViT 263 3,622 0 24 Feb 2021
TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation Yundong Zhang Huiye Liu Qiang Hu ViT MedIm 198 890 0 16 Feb 2021
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 268 10,214 0 16 Nov 2016