ResearchTrend.AI
Reducing self-supervised learning complexity improves weakly-supervised classification performance in computational pathology

Reducing self-supervised learning complexity improves weakly-supervised classification performance in computational pathology

Tim Lenz
Omar S. M. El Nahhas
M. Ligero
Jakob Nikolas Kather
ArXivPDFHTML

Papers citing "Reducing self-supervised learning complexity improves weakly-supervised classification performance in computational pathology"

1 / 1 papers shown
Title
Computational Pathology at Health System Scale -- Self-Supervised Foundation Models from Three Billion Images
Computational Pathology at Health System Scale -- Self-Supervised Foundation Models from Three Billion Images
Gabriele Campanella
Ricky Kwan
Eugene Fluder
Jennifer Zeng
A. Stock
...
Adam J. Schoenfeld
Chad M. Vanderbilt
P. Kovatch
Carlos Cordon-Cardo
Thomas J. Fuchs
MedIm
58
25
0
10 Oct 2023