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2205.01931
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Mapping the landscape of histomorphological cancer phenotypes using self-supervised learning on unlabeled, unannotated pathology slides
4 May 2022
A. Quiros
N. Coudray
A. Yeaton
Xinyu Yang
Bojing Liu
Hortense Le
L. Chiriboga
A. Karimkhan
N. Narula
David A Moore
Christopher Y. Park
H. Pass
A. Moreira
J. L. Quesne
A. Tsirigos
Ke-Fei Yuan
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Papers citing
"Mapping the landscape of histomorphological cancer phenotypes using self-supervised learning on unlabeled, unannotated pathology slides"
4 / 4 papers shown
Title
Multimodal Prototyping for cancer survival prediction
Andrew H. Song
Richard J. Chen
Guillaume Jaume
Anurag J. Vaidya
Alexander S. Baras
Faisal Mahmood
24
12
0
28 Jun 2024
Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology
Andrew H. Song
Richard J. Chen
Tong Ding
Drew F. K. Williamson
Guillaume Jaume
Faisal Mahmood
MedIm
46
29
0
19 May 2024
StainFuser: Controlling Diffusion for Faster Neural Style Transfer in Multi-Gigapixel Histology Images
R. Jewsbury
Ruoyu Wang
A. Bhalerao
Nasir M. Rajpoot
Q. Vu
37
2
0
14 Mar 2024
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
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