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Towards Histopathological Stain Invariance by Unsupervised Domain
  Augmentation using Generative Adversarial Networks

Towards Histopathological Stain Invariance by Unsupervised Domain Augmentation using Generative Adversarial Networks

Neurocomputing (Neurocomputing), 2020
22 December 2020
Jelica Vasiljević
Friedrich Feuerhake
Cédric Wemmert
T. Lampert
    GANOODMedIm
ArXiv (abs)PDFHTML

Papers citing "Towards Histopathological Stain Invariance by Unsupervised Domain Augmentation using Generative Adversarial Networks"

13 / 13 papers shown
Resource Efficient Multi-stain Kidney Glomeruli Segmentation via Self-supervision
Resource Efficient Multi-stain Kidney Glomeruli Segmentation via Self-supervision
Zeeshan Nisar
Friedrich Feuerhake
T. Lampert
299
2
0
19 Dec 2024
CLASS-M: Adaptive stain separation-based contrastive learning with
  pseudo-labeling for histopathological image classification
CLASS-M: Adaptive stain separation-based contrastive learning with pseudo-labeling for histopathological image classification
Bodong Zhang
Hamid Manoochehri
M. M. Ho
Fahimeh Fooladgar
Yosep Chong
Beatrice Knudsen
Deepika Sirohi
Tolga Tasdizen
416
5
0
12 Dec 2023
Stain Consistency Learning: Handling Stain Variation for Automatic
  Digital Pathology Segmentation
Stain Consistency Learning: Handling Stain Variation for Automatic Digital Pathology Segmentation
Michael Yeung
Todd Watts
Sean YW Tan
Pedro F. Ferreira
Andrew D. Scott
S. Nielles-Vallespin
Guang Yang
179
1
0
11 Nov 2023
Domain Generalization in Computational Pathology: Survey and Guidelines
Domain Generalization in Computational Pathology: Survey and GuidelinesACM Computing Surveys (ACM Comput. Surv.), 2023
Mostafa Jahanifar
M. Raza
Kesi Xu
T. Vuong
R. Jewsbury
...
Neda Zamanitajeddin
Jin Tae Kwak
S. Raza
F. Minhas
Nasir M. Rajpoot
OOD
261
36
0
30 Oct 2023
A Laplacian Pyramid Based Generative H&E Stain Augmentation Network
A Laplacian Pyramid Based Generative H&E Stain Augmentation NetworkIEEE Transactions on Medical Imaging (TMI), 2023
Fangda Li
Zhiqiang Hu
Wen Chen
A. Kak
MedIm
212
7
0
23 May 2023
A comparative evaluation of image-to-image translation methods for stain
  transfer in histopathology
A comparative evaluation of image-to-image translation methods for stain transfer in histopathologyInternational Conference on Medical Imaging with Deep Learning (MIDL), 2023
I. Zingman
Sergio Frayle
Ivan Tankoyeu
Segrey Sukhanov
Fabian Heinemann
MedIm
157
18
0
29 Mar 2023
Standardized CycleGAN training for unsupervised stain adaptation in
  invasive carcinoma classification for breast histopathology
Standardized CycleGAN training for unsupervised stain adaptation in invasive carcinoma classification for breast histopathologyJournal of Medical Imaging (JMI), 2023
Nicolas Nerrienet
Rémy Peyret
Marie Sockeel
Stéphane Sockeel
MedIm
297
8
0
30 Jan 2023
HistoStarGAN: A Unified Approach to Stain Normalisation, Stain Transfer
  and Stain Invariant Segmentation in Renal Histopathology
HistoStarGAN: A Unified Approach to Stain Normalisation, Stain Transfer and Stain Invariant Segmentation in Renal Histopathology
Jelica Vasiljević
Friedrich Feuerhake
Cédric Wemmert
T. Lampert
MedIm
202
8
0
18 Oct 2022
Test-time image-to-image translation ensembling improves
  out-of-distribution generalization in histopathology
Test-time image-to-image translation ensembling improves out-of-distribution generalization in histopathologyInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
Marin Scalbert
Maria Vakalopoulou
Florent Couzinié-Devy
301
18
0
20 Jun 2022
Towards Measuring Domain Shift in Histopathological Stain Translation in
  an Unsupervised Manner
Towards Measuring Domain Shift in Histopathological Stain Translation in an Unsupervised MannerIEEE International Symposium on Biomedical Imaging (ISBI), 2022
Zeeshan Nisar
Jelica Vasiljević
P. Gançarski
T. Lampert
MedIm
133
6
0
09 May 2022
MultiPathGAN: Structure Preserving Stain Normalization using
  Unsupervised Multi-domain Adversarial Network with Perception Loss
MultiPathGAN: Structure Preserving Stain Normalization using Unsupervised Multi-domain Adversarial Network with Perception LossACM Symposium on Applied Computing (SAC), 2022
H. Nazki
Ognjen Arandjelovic
I. Um
David J. Harrison
MedImOOD
156
21
0
20 Apr 2022
H&E-adversarial network: a convolutional neural network to learn
  stain-invariant features through Hematoxylin & Eosin regression
H&E-adversarial network: a convolutional neural network to learn stain-invariant features through Hematoxylin & Eosin regression
Niccolo Marini
Manfredo Atzori
Sebastian Otalora
Stéphane Marchand-Maillet
Henning Muller
MedIm
217
14
0
17 Jan 2022
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
174
25
0
16 Dec 2021
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