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Distilling effective supervision for robust medical image segmentation
  with noisy labels

Distilling effective supervision for robust medical image segmentation with noisy labels

21 June 2021
Jialin Shi
Ji Wu
    NoLa
ArXivPDFHTML

Papers citing "Distilling effective supervision for robust medical image segmentation with noisy labels"

3 / 3 papers shown
Title
Monitoring morphometric drift in lifelong learning segmentation of the spinal cord
Monitoring morphometric drift in lifelong learning segmentation of the spinal cord
E. Karthik
Sandrine Bédard
J. Valošek
Christoph S. Aigner
E. Bannier
...
Zachary Vavasour
Dimitri Van De Ville
Kenneth A. Weber II
Sarath Chandar
Julien Cohen-Adad
22
0
0
02 May 2025
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
261
1,275
0
06 Mar 2017
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
295
10,618
0
19 Feb 2017
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