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Discrepancy Matters: Learning from Inconsistent Decoder Features for
  Consistent Semi-supervised Medical Image Segmentation

Discrepancy Matters: Learning from Inconsistent Decoder Features for Consistent Semi-supervised Medical Image Segmentation

26 September 2023
Qingjie Zeng
Yutong Xie
Ziling Lu
Mengkang Lu
Yong-quan Xia
ArXivPDFHTML

Papers citing "Discrepancy Matters: Learning from Inconsistent Decoder Features for Consistent Semi-supervised Medical Image Segmentation"

4 / 4 papers shown
Title
Segment Together: A Versatile Paradigm for Semi-Supervised Medical Image
  Segmentation
Segment Together: A Versatile Paradigm for Semi-Supervised Medical Image Segmentation
Qingjie Zeng
Yutong Xie
Zilin Lu
Mengkang Lu
Yicheng Wu
Yong-quan Xia
12
3
0
20 Nov 2023
Bidirectional Copy-Paste for Semi-Supervised Medical Image Segmentation
Bidirectional Copy-Paste for Semi-Supervised Medical Image Segmentation
Yunhao Bai
Duowen Chen
Qingli Li
Wei Shen
Yan Wang
24
118
0
01 May 2023
Mutual Consistency Learning for Semi-supervised Medical Image
  Segmentation
Mutual Consistency Learning for Semi-supervised Medical Image Segmentation
Yicheng Wu
Z. Ge
Donghao Zhang
Minfeng Xu
Lei Zhang
Yong-quan Xia
Jianfei Cai
OOD
SSL
61
134
0
21 Sep 2021
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label
  Selection Framework for Semi-Supervised Learning
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning
Mamshad Nayeem Rizve
Kevin Duarte
Y. S. Rawat
M. Shah
194
501
0
15 Jan 2021
1