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Compete to Win: Enhancing Pseudo Labels for Barely-supervised Medical
  Image Segmentation

Compete to Win: Enhancing Pseudo Labels for Barely-supervised Medical Image Segmentation

15 April 2023
Huimin Wu
Xiaomeng Li
Yiqun Lin
Kwang-Ting Cheng
ArXivPDFHTML

Papers citing "Compete to Win: Enhancing Pseudo Labels for Barely-supervised Medical Image Segmentation"

2 / 2 papers shown
Title
FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning
FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning
Yidong Wang
Hao Chen
Qiang Heng
Wenxin Hou
Yue Fan
...
Marios Savvides
T. Shinozaki
Bhiksha Raj
Bernt Schiele
Xing Xie
188
259
0
15 May 2022
Every Annotation Counts: Multi-label Deep Supervision for Medical Image
  Segmentation
Every Annotation Counts: Multi-label Deep Supervision for Medical Image Segmentation
Simon Reiß
C. Seibold
Alexander Freytag
E. Rodner
Rainer Stiefelhagen
89
61
0
27 Apr 2021
1