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Triple-View Feature Learning for Medical Image Segmentation

Triple-View Feature Learning for Medical Image Segmentation

Ziyang Wang
Irina Voiculescu
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Papers citing "Triple-View Feature Learning for Medical Image Segmentation"

4 / 4 papers shown
Title
Weak-Mamba-UNet: Visual Mamba Makes CNN and ViT Work Better for Scribble-based Medical Image Segmentation
Weak-Mamba-UNet: Visual Mamba Makes CNN and ViT Work Better for Scribble-based Medical Image Segmentation
Ziyang Wang
Chao Ma
Mamba
34
29
0
16 Feb 2024
When CNN Meet with ViT: Towards Semi-Supervised Learning for Multi-Class Medical Image Semantic Segmentation
When CNN Meet with ViT: Towards Semi-Supervised Learning for Multi-Class Medical Image Semantic Segmentation
Ziyang Wang
Tianze Li
Jian-Qing Zheng
Baoru Huang
25
33
0
12 Aug 2022
3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training
3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training
Yingda Xia
Fengze Liu
Ke Wang
Jinzheng Cai
Lequan Yu
Zhuotun Zhu
Daguang Xu
Alan Yuille
H. Roth
183
124
0
29 Nov 2018
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen
Harri Valpola
OOD
MoMe
270
1,275
0
06 Mar 2017