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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

22 December 2020
Jelica Vasiljević
Friedrich Feuerhake
Cédric Wemmert
T. Lampert
    GAN
    OOD
    MedIm
ArXivPDFHTML

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

25 / 25 papers shown
Title
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
143
30,069
0
01 Mar 2022
Virtual staining for mitosis detection in Breast Histopathology
Virtual staining for mitosis detection in Breast Histopathology
Caner Mercan
Germonda Reijnen-Mooij
David Tellez Martin
J. Lotz
Nick Weiss
Marcel van Gerven
F. Ciompi
MedIm
14
37
0
17 Mar 2020
Cross-stained Segmentation from Renal Biopsy Images Using Multi-level
  Adversarial Learning
Cross-stained Segmentation from Renal Biopsy Images Using Multi-level Adversarial Learning
Ke Mei
Chuang Zhu
Lei Jiang
Jun Liu
Yuanyuan Qiao
GAN
MedIm
26
10
0
20 Feb 2020
Deep neural network models for computational histopathology: A survey
Deep neural network models for computational histopathology: A survey
C. Srinidhi
Ozan Ciga
Anne L. Martel
AI4CE
73
573
0
28 Dec 2019
StarGAN v2: Diverse Image Synthesis for Multiple Domains
StarGAN v2: Diverse Image Synthesis for Multiple Domains
Yunjey Choi
Youngjung Uh
Jaejun Yoo
Jung-Woo Ha
3DH
94
1,732
0
04 Dec 2019
Dual Adaptive Pyramid Network for Cross-Stain Histopathology Image
  Segmentation
Dual Adaptive Pyramid Network for Cross-Stain Histopathology Image Segmentation
Xianxu Hou
Jingxin Liu
Bolei Xu
Bozhi Liu
Xin Chen
M. Ilyas
I. Ellis
J. Garibaldi
Guoping Qiu
29
19
0
25 Sep 2019
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for
  Medical Image Segmentation
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation
Nima Tajbakhsh
Laura Jeyaseelan
Q. Li
J. Chiang
Zhihao Wu
Xiaowei Ding
90
759
0
27 Aug 2019
Adversarial Self-Defense for Cycle-Consistent GANs
Adversarial Self-Defense for Cycle-Consistent GANs
D. Bashkirova
Ben Usman
Kate Saenko
GAN
28
43
0
05 Aug 2019
Domain Adaptation-based Augmentation for Weakly Supervised Nuclei
  Detection
Domain Adaptation-based Augmentation for Weakly Supervised Nuclei Detection
N. Brieu
A. Meier
A. Kapil
Ralf Schoenmeyer
Christoc G Gavriel
P. Caie
G. Schmidt
38
23
0
10 Jul 2019
Quantifying the effects of data augmentation and stain color
  normalization in convolutional neural networks for computational pathology
Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology
David Tellez
G. Litjens
Péter Bándi
W. Bulten
J. Bokhorst
F. Ciompi
Jeroen van der Laak
MedIm
OOD
37
478
0
18 Feb 2019
GAN-based Virtual Re-Staining: A Promising Solution for Whole Slide
  Image Analysis
GAN-based Virtual Re-Staining: A Promising Solution for Whole Slide Image Analysis
Zhaoyang Xu
Xingru Huang
C. F. Moro
B. Bozóky
Qianni Zhang
36
82
0
13 Jan 2019
Computational Histological Staining and Destaining of Prostate Core
  Biopsy RGB Images with Generative Adversarial Neural Networks
Computational Histological Staining and Destaining of Prostate Core Biopsy RGB Images with Generative Adversarial Neural Networks
Zefang Zong
J. Feng
A. Lowe
Hongzhi Shi
MedIm
27
52
0
26 Oct 2018
Strategies for Training Stain Invariant CNNs
Strategies for Training Stain Invariant CNNs
T. Lampert
Odyssée Merveille
J. Schmitz
Germain Forestier
Friedrich Feuerhake
Cédric Wemmert
18
21
0
17 Oct 2018
Virtualization of tissue staining in digital pathology using an
  unsupervised deep learning approach
Virtualization of tissue staining in digital pathology using an unsupervised deep learning approach
Amal Lahiani
J. Gildenblat
I. Klaman
Shadi Albarqouni
Nassir Navab
Eldad Klaiman
35
25
0
15 Oct 2018
Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3 as a
  Reference to Train Distilled Stain-Invariant Convolutional Networks
Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3 as a Reference to Train Distilled Stain-Invariant Convolutional Networks
David Tellez
M. Balkenhol
I. Otte-Höller
Rob van de Loo
R. Vogels
...
S. Mol
N. Karssemeijer
G. Litjens
J. A. van der Laak
F. Ciompi
42
244
0
17 Aug 2018
StainGAN: Stain Style Transfer for Digital Histological Images
StainGAN: Stain Style Transfer for Digital Histological Images
M. Shaban
Christoph Baur
Nassir Navab
Shadi Albarqouni
MedIm
44
273
0
04 Apr 2018
Demystifying MMD GANs
Demystifying MMD GANs
Mikolaj Binkowski
Danica J. Sutherland
Michael Arbel
Arthur Gretton
EGVM
88
1,478
0
04 Jan 2018
CycleGAN, a Master of Steganography
CycleGAN, a Master of Steganography
Casey Chu
A. Zhmoginov
Mark Sandler
GAN
47
212
0
08 Dec 2017
StarGAN: Unified Generative Adversarial Networks for Multi-Domain
  Image-to-Image Translation
StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
Yunjey Choi
Min-Je Choi
M. Kim
Jung-Woo Ha
Sunghun Kim
Jaegul Choo
GAN
101
3,547
0
24 Nov 2017
GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash
  Equilibrium
GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
M. Heusel
Hubert Ramsauer
Thomas Unterthiner
Bernhard Nessler
Sepp Hochreiter
61
464
0
26 Jun 2017
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial
  Networks
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
Jun-Yan Zhu
Taesung Park
Phillip Isola
Alexei A. Efros
GAN
96
5,556
0
30 Mar 2017
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
553
10,726
0
19 Feb 2017
Learning from Simulated and Unsupervised Images through Adversarial
  Training
Learning from Simulated and Unsupervised Images through Adversarial Training
A. Shrivastava
Tomas Pfister
Oncel Tuzel
J. Susskind
Wenda Wang
Russ Webb
GAN
72
1,800
0
22 Dec 2016
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based
  Localization
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
FAtt
211
19,796
0
07 Oct 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.2K
76,547
0
18 May 2015
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