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Towards Large-Scale Training of Pathology Foundation Models
24 March 2024
kaiko.ai
N. Aben
Edwin D. de Jong
Ioannis Gatopoulos
Nicolas Kanzig
Mikhail Karasikov
Axel Lagré
Roman Moser
J. Doorn
Fei Tang
MedIm
AI4CE
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Papers citing
"Towards Large-Scale Training of Pathology Foundation Models"
7 / 7 papers shown
Title
Evaluating Computational Pathology Foundation Models for Prostate Cancer Grading under Distribution Shifts
Fredrik K. Gustafsson
Mattias Rantalainen
OOD
MedIm
23
0
0
09 Oct 2024
A New Era in Computational Pathology: A Survey on Foundation and Vision-Language Models
Dibaloke Chanda
Milan Aryal
Nasim Yahya Soltani
Masoud Ganji
AI4CE
VLM
34
7
0
23 Aug 2024
RankMe: Assessing the downstream performance of pretrained self-supervised representations by their rank
Q. Garrido
Randall Balestriero
Laurent Najman
Yann LeCun
SSL
43
71
0
05 Oct 2022
Self supervised learning improves dMMR/MSI detection from histology slides across multiple cancers
C. Saillard
Olivier Dehaene
Tanguy Marchand
O. Moindrot
A. Kamoun
B. Schmauch
S. Jégou
30
38
0
13 Sep 2021
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
283
5,723
0
29 Apr 2021
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
238
3,359
0
09 Mar 2020
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
278
10,544
0
19 Feb 2017
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