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From Whole-slide Image to Biomarker Prediction: A Protocol for
  End-to-End Deep Learning in Computational Pathology

From Whole-slide Image to Biomarker Prediction: A Protocol for End-to-End Deep Learning in Computational Pathology

18 December 2023
Omar S. M. El Nahhas
M. Treeck
Georg Wolflein
Michaela Unger
M. Ligero
Tim Lenz
S. J. Wagner
K. J. Hewitt
Firas Khader
S. Foersch
Daniel Truhn
Jakob Nikolas Kather
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Papers citing "From Whole-slide Image to Biomarker Prediction: A Protocol for End-to-End Deep Learning in Computational Pathology"

4 / 4 papers shown
Title
INSIGHT: Explainable Weakly-Supervised Medical Image Analysis
INSIGHT: Explainable Weakly-Supervised Medical Image Analysis
Wenbo Zhang
Junyu Chen
Christopher Kanan
79
0
0
02 Dec 2024
In-context learning enables multimodal large language models to classify
  cancer pathology images
In-context learning enables multimodal large language models to classify cancer pathology images
Dyke Ferber
Georg Wolflein
Isabella C. Wiest
M. Ligero
Srividhya Sainath
...
Omar S. M. El Nahhas
Gustav Muller-Franzes
Dirk Jager
Daniel Truhn
Jakob Nikolas Kather
VLM
MedIm
19
28
0
12 Mar 2024
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
Tim Lenz
Omar S. M. El Nahhas
M. Ligero
Jakob Nikolas Kather
24
0
0
07 Mar 2024
Joint multi-task learning improves weakly-supervised biomarker
  prediction in computational pathology
Joint multi-task learning improves weakly-supervised biomarker prediction in computational pathology
Omar S. M. El Nahhas
Georg Wolflein
M. Ligero
Tim Lenz
M. Treeck
Firas Khader
Daniel Truhn
Jakob Nikolas Kather
29
1
0
06 Mar 2024
1