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Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for
  Hepatic Vessel Segmentation

Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation

3 June 2021
Zhe Xu
Donghuan Lu
Yixin Wang
Jie Luo
J. Jagadeesan
Kai Ma
Yefeng Zheng
Xiu Li
ArXivPDFHTML

Papers citing "Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation"

3 / 3 papers shown
Title
Learning with Limited Annotations: A Survey on Deep Semi-Supervised
  Learning for Medical Image Segmentation
Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentation
Rushi Jiao
Yichi Zhang
Leiting Ding
Rong Cai
Jicong Zhang
19
151
0
28 Jul 2022
All-Around Real Label Supervision: Cyclic Prototype Consistency Learning
  for Semi-supervised Medical Image Segmentation
All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-supervised Medical Image Segmentation
Zhe Xu
Yixin Wang
Donghuan Lu
Lequan Yu
Jiangpeng Yan
Jie Luo
Kai Ma
Yefeng Zheng
R. Tong
35
54
0
28 Sep 2021
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
244
1,275
0
06 Mar 2017
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