ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2403.04558
  4. Cited By
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

7 March 2024
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
63
25
0
10 Oct 2023
1