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UNICORN: A Deep Learning Model for Integrating Multi-Stain Data in
  Histopathology

UNICORN: A Deep Learning Model for Integrating Multi-Stain Data in Histopathology

26 September 2024
Valentin Koch
Sabine Bauer
Valerio Luppberger
Michael Joner
Heribert Schunkert
Julia A. Schnabel
Moritz von Scheidt
Carsten Marr
    MedImViT
ArXiv (abs)PDFHTML

Papers citing "UNICORN: A Deep Learning Model for Integrating Multi-Stain Data in Histopathology"

6 / 6 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
102
26
0
10 Oct 2023
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
89
91
0
14 Sep 2023
TransMIL: Transformer based Correlated Multiple Instance Learning for
  Whole Slide Image Classification
TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification
Zhucheng Shao
Hao Bian
Yang Chen
Yifeng Wang
Jian Zhang
Xiangyang Ji
Yongbing Zhang
ViTMedIm
98
676
0
02 Jun 2021
Perceiver: General Perception with Iterative Attention
Perceiver: General Perception with Iterative Attention
Andrew Jaegle
Felix Gimeno
Andrew Brock
Andrew Zisserman
Oriol Vinyals
João Carreira
VLMViTMDE
207
1,022
0
04 Mar 2021
Quantifying Attention Flow in Transformers
Quantifying Attention Flow in Transformers
Samira Abnar
Willem H. Zuidema
169
802
0
02 May 2020
Attention-based Deep Multiple Instance Learning
Attention-based Deep Multiple Instance Learning
Maximilian Ilse
Jakub M. Tomczak
Max Welling
180
1,823
0
13 Feb 2018
1