Large-Kernel Attention for 3D Medical Image Segmentation

Large-Kernel Attention for 3D Medical Image Segmentation

19 July 2022

Hao Li

Guang Yang

Papers citing "Large-Kernel Attention for 3D Medical Image Segmentation"

7 / 7 papers shown

Title
MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation Saikat Roy Gregor Koehler Constantin Ulrich Michael Baumgartner Jens Petersen Fabian Isensee Paul F. Jaeger Klaus Maier-Hein ViT MedIm 8 133 0 17 Mar 2023
Optimized U-Net for Brain Tumor Segmentation Michal Futrega Alexandre Milesi Michal Marcinkiewicz Pablo Ribalta SSeg 19 89 0 07 Oct 2021
Efficient Context-Aware Network for Abdominal Multi-organ Segmentation Fan Zhang Yu Wang Hua Yang SSeg MedIm 21 22 0 22 Sep 2021
Adaptive Hierarchical Dual Consistency for Semi-Supervised Left Atrium Segmentation on Cross-Domain Data Jun Chen Heye Zhang R. Mohiaddin Tom Wong D. Firmin J. Keegan Guang Yang 33 35 0 17 Sep 2021
Unbox the Black-box for the Medical Explainable AI via Multi-modal and Multi-centre Data Fusion: A Mini-Review, Two Showcases and Beyond Guang Yang Qinghao Ye Jun Xia 83 478 0 03 Feb 2021
Modality-Pairing Learning for Brain Tumor Segmentation Yixin Wang Yao Zhang Feng Hou Yang Liu Jiang Tian Cheng Zhong Yang Zhang Zhiqiang He 44 62 0 19 Oct 2020
MRI Tumor Segmentation with Densely Connected 3D CNN Lele Chen Yue Wu Adora M. DSouza A. Abidin A. Wismüller Chenliang Xu 15 119 0 18 Jan 2018