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Learning Multi-axis Representation in Frequency Domain for Medical Image
  Segmentation

Learning Multi-axis Representation in Frequency Domain for Medical Image Segmentation

28 December 2023
Jiacheng Ruan
Jingsheng Gao
Mingye Xie
Suncheng Xiang
ArXivPDFHTML

Papers citing "Learning Multi-axis Representation in Frequency Domain for Medical Image Segmentation"

4 / 4 papers shown
Title
UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise
  Perspective with Transformer
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
705
0
09 Sep 2021
Convolution-Free Medical Image Segmentation using Transformers
Convolution-Free Medical Image Segmentation using Transformers
Davood Karimi
Serge Vasylechko
Ali Gholipour
ViT
MedIm
84
121
0
26 Feb 2021
TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation
TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation
Yundong Zhang
Huiye Liu
Qiang Hu
ViT
MedIm
198
883
0
16 Feb 2021
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
232
75,445
0
18 May 2015
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