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Generative Adversarial Networks in Digital Pathology: A Survey on Trends
  and Future Potential

Generative Adversarial Networks in Digital Pathology: A Survey on Trends and Future Potential

30 April 2020
M. Tschuchnig
G. Oostingh
M. Gadermayr
    MedIm
    AI4CE
    GAN
ArXivPDFHTML

Papers citing "Generative Adversarial Networks in Digital Pathology: A Survey on Trends and Future Potential"

3 / 3 papers shown
Title
Improving Unsupervised Stain-To-Stain Translation using Self-Supervision
  and Meta-Learning
Improving Unsupervised Stain-To-Stain Translation using Self-Supervision and Meta-Learning
Nassim Bouteldja
B. Klinkhammer
Tarek Schlaich
P. Boor
Dorit Merhof
MedIm
29
20
0
16 Dec 2021
Objective Diagnosis for Histopathological Images Based on Machine
  Learning Techniques: Classical Approaches and New Trends
Objective Diagnosis for Histopathological Images Based on Machine Learning Techniques: Classical Approaches and New Trends
Naira Elazab
Hassan H. Soliman
Shaker El-Sappagh
S. Islam
Mohammed M Elmogy
17
20
0
10 Nov 2020
A Survey on Deep Learning in Medical Image Analysis
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
283
10,613
0
19 Feb 2017
1