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DeformUX-Net: Exploring a 3D Foundation Backbone for Medical Image
  Segmentation with Depthwise Deformable Convolution

DeformUX-Net: Exploring a 3D Foundation Backbone for Medical Image Segmentation with Depthwise Deformable Convolution

30 September 2023
Ho Hin Lee
Quan Liu
Qi Yang
Xin Yu
Shunxing Bao
Yuankai Huo
Bennett A. Landman
    MedIm
ArXivPDFHTML

Papers citing "DeformUX-Net: Exploring a 3D Foundation Backbone for Medical Image Segmentation with Depthwise Deformable Convolution"

3 / 3 papers shown
Title
SACNet: A Spatially Adaptive Convolution Network for 2D Multi-organ Medical Segmentation
SACNet: A Spatially Adaptive Convolution Network for 2D Multi-organ Medical Segmentation
Lin Zhang
Wenbo Gao
Jie Yi
Yunyun Yang
46
0
0
14 Jul 2024
BiomedParse: a biomedical foundation model for image parsing of
  everything everywhere all at once
BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once
Theodore Zhao
Yu Gu
Jianwei Yang
Naoto Usuyama
Ho Hin Lee
...
B. Piening
Carlo Bifulco
Mu-Hsin Wei
Hoifung Poon
Sheng Wang
MedIm
36
23
0
21 May 2024
3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical
  Transformer for Medical Image Segmentation
3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation
Ho Hin Lee
Shunxing Bao
Yuankai Huo
Bennett A. Landman
OOD
MedIm
59
133
0
29 Sep 2022
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