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Orientation-Disentangled Unsupervised Representation Learning for
  Computational Pathology

Orientation-Disentangled Unsupervised Representation Learning for Computational Pathology

26 August 2020
Maxime W. Lafarge
J. Pluim
M. Veta
    DRL
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Papers citing "Orientation-Disentangled Unsupervised Representation Learning for Computational Pathology"

1 / 1 papers shown
Title
Mapping the landscape of histomorphological cancer phenotypes using
  self-supervised learning on unlabeled, unannotated pathology slides
Mapping the landscape of histomorphological cancer phenotypes using self-supervised learning on unlabeled, unannotated pathology slides
A. Quiros
N. Coudray
A. Yeaton
Xinyu Yang
Bojing Liu
...
H. Pass
A. Moreira
J. L. Quesne
A. Tsirigos
Ke-Fei Yuan
SSL
21
5
0
04 May 2022
1