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Learning from Partially Overlapping Labels: Image Segmentation under
  Annotation Shift

Learning from Partially Overlapping Labels: Image Segmentation under Annotation Shift

13 July 2021
Gregory Filbrandt
Konstantinos Kamnitsas
David Bernstein
Alexandra N. Taylor
Ben Glocker
ArXivPDFHTML

Papers citing "Learning from Partially Overlapping Labels: Image Segmentation under Annotation Shift"

3 / 3 papers shown
Title
MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation
MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation
Constantin Ulrich
Fabian Isensee
Tassilo Wald
M. Zenk
Michael Baumgartner
Klaus H. Maier-Hein
24
37
0
25 Mar 2023
Multi-center anatomical segmentation with heterogeneous labels via
  landmark-based models
Multi-center anatomical segmentation with heterogeneous labels via landmark-based models
Nicolás Gaggion
Maria Vakalopoulou
Diego H. Milone
Enzo Ferrante
14
5
0
14 Nov 2022
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
1