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Contrastive-Based Deep Embeddings for Label Noise-Resilient
  Histopathology Image Classification

Contrastive-Based Deep Embeddings for Label Noise-Resilient Histopathology Image Classification

11 April 2024
Lucas Dedieu
Nicolas Nerrienet
A. Nivaggioli
Clara Simmat
Marceau Clavel
Arnaud Gauthier
Stéphane Sockeel
Rémy Peyret
    NoLa
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Papers citing "Contrastive-Based Deep Embeddings for Label Noise-Resilient Histopathology Image Classification"

4 / 4 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
Co-learning: Learning from Noisy Labels with Self-supervision
Co-learning: Learning from Noisy Labels with Self-supervision
Cheng Tan
Jun-Xiong Xia
Lirong Wu
Stan Z. Li
NoLa
73
116
0
05 Aug 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
317
5,775
0
29 Apr 2021
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
267
3,369
0
09 Mar 2020
1