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Towards Large-Scale Training of Pathology Foundation Models

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"

14 / 14 papers shown
Title
Virchow: A Million-Slide Digital Pathology Foundation Model
Virchow: A Million-Slide Digital Pathology Foundation Model
Eugene Vorontsov
Alican Bozkurt
Adam Casson
George Shaikovski
Michal Zelechowski
...
Razik Yousfi
Christopher Kanan
David Klimstra
B. Rothrock
Thomas J. Fuchs
MedIm
28
83
0
14 Sep 2023
Regression-based Deep-Learning predicts molecular biomarkers from
  pathology slides
Regression-based Deep-Learning predicts molecular biomarkers from pathology slides
Omar S. M. El Nahhas
C. Loeffler
Zunamys I Carrero
M. Treeck
Fiona Kolbinger
...
Michael Hoffmeister
Hermann Brenner
A. Brobeil
J. Reis-Filho
Jakob Nikolas Kather
37
49
0
11 Apr 2023
Scaling Vision Transformers to Gigapixel Images via Hierarchical
  Self-Supervised Learning
Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning
Richard J. Chen
Chengkuan Chen
Yicong Li
Tiffany Y. Chen
A. Trister
Rahul G. Krishnan
Faisal Mahmood
ViT
MedIm
61
414
0
06 Jun 2022
Vision Transformer Adapter for Dense Predictions
Vision Transformer Adapter for Dense Predictions
Zhe Chen
Yuchen Duan
Wenhai Wang
Junjun He
Tong Lu
Jifeng Dai
Yu Qiao
61
552
0
17 May 2022
Masked-attention Mask Transformer for Universal Image Segmentation
Masked-attention Mask Transformer for Universal Image Segmentation
Bowen Cheng
Ishan Misra
Alex Schwing
Alexander Kirillov
Rohit Girdhar
ISeg
178
2,315
0
02 Dec 2021
iBOT: Image BERT Pre-Training with Online Tokenizer
iBOT: Image BERT Pre-Training with Online Tokenizer
Jinghao Zhou
Chen Wei
Huiyu Wang
Wei Shen
Cihang Xie
Alan Yuille
Tao Kong
59
722
0
15 Nov 2021
Self supervised learning improves dMMR/MSI detection from histology
  slides across multiple cancers
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
47
39
0
13 Sep 2021
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
Jure Zbontar
Li Jing
Ishan Misra
Yann LeCun
Stéphane Deny
SSL
221
2,321
0
04 Mar 2021
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
418
3,397
0
09 Mar 2020
Deep Learning for Whole Slide Image Analysis: An Overview
Deep Learning for Whole Slide Image Analysis: An Overview
Dennis Núñez
Ognjen Arandjelović
Peter D Caie
MedIm
59
267
0
18 Oct 2019
Automated Gleason Grading of Prostate Biopsies using Deep Learning
Automated Gleason Grading of Prostate Biopsies using Deep Learning
W. Bulten
H. Pinckaers
H. V. van Boven
R. Vink
Thomas de Bel
Bram van Ginneken
J. A. van der Laak
C. Hulsbergen–van de Kaa
G. Litjens
82
449
0
18 Jul 2019
BACH: Grand Challenge on Breast Cancer Histology Images
BACH: Grand Challenge on Breast Cancer Histology Images
Guilherme Aresta
Teresa Araújo
S. Kwok
Sai Saketh Chennamsetty
P. MohammedSafwanK.
...
L. Boulmane
A. Campilho
C. Eloy
A. Polónia
Paulo Aguiar
186
563
0
13 Aug 2018
Reducing Overfitting in Deep Networks by Decorrelating Representations
Reducing Overfitting in Deep Networks by Decorrelating Representations
Michael Cogswell
Faruk Ahmed
Ross B. Girshick
C. L. Zitnick
Dhruv Batra
64
414
0
19 Nov 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
891
99,991
0
04 Sep 2014
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