SA2-Net: Scale-aware Attention Network for Microscopic Image
Segmentation

SA2-Net: Scale-aware Attention Network for Microscopic Image Segmentation

28 September 2023

Rao Muhammad Anwer

Hisham Cholakkal

Papers citing "SA2-Net: Scale-aware Attention Network for Microscopic Image Segmentation"

7 / 7 papers shown

Title
Enhancing Efficiency in Vision Transformer Networks: Design Techniques and Insights Moein Heidari Reza Azad Sina Ghorbani Kolahi René Arimond Leon Niggemeier ... Afshin Bozorgpour Ehsan Khodapanah Aghdam A. Kazerouni I. Hacihaliloglu Dorit Merhof 51 7 0 28 Mar 2024
DCSAU-Net: A Deeper and More Compact Split-Attention U-Net for Medical Image Segmentation Qing Xu Zhicheng Ma Nana He Wenting Duan SSeg OOD 54 228 0 02 Feb 2022
Transformers in Medical Imaging: A Survey Fahad Shamshad Salman Khan Syed Waqas Zamir Muhammad Haris Khan Munawar Hayat Fahad Shahbaz Khan Huazhu Fu ViT LM&MA MedIm 111 663 0 24 Jan 2022
MISSFormer: An Effective Medical Image Segmentation Transformer Xiaohong Huang Zhifang Deng Dandan Li Xueguang Yuan ViT MedIm 95 174 0 15 Sep 2021
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 129 708 0 09 Sep 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 301 3,623 0 24 Feb 2021
TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation Yundong Zhang Huiye Liu Qiang Hu ViT MedIm 206 891 0 16 Feb 2021