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The importance of stain normalization in colorectal tissue
  classification with convolutional networks
v1v2 (latest)

The importance of stain normalization in colorectal tissue classification with convolutional networks

IEEE International Symposium on Biomedical Imaging (ISBI), 2017
20 February 2017
F. Ciompi
Oscar G. F. Geessink
B. Bejnordi
Gabriel Silva de Souza
A. Baidoshvili
G. Litjens
Bram van Ginneken
Iris Nagtegaal
Jeroen van der Laak
    MedIm
ArXiv (abs)PDFHTML

Papers citing "The importance of stain normalization in colorectal tissue classification with convolutional networks"

44 / 44 papers shown
NMGrad: Advancing Histopathological Bladder Cancer Grading with Weakly
  Supervised Deep Learning
NMGrad: Advancing Histopathological Bladder Cancer Grading with Weakly Supervised Deep Learning
Saul Fuster
Umay Kiraz
T. Eftestøl
Emiel A. M. Janssen
K. Engan
190
8
0
24 May 2024
StainFuser: Controlling Diffusion for Faster Neural Style Transfer in
  Multi-Gigapixel Histology Images
StainFuser: Controlling Diffusion for Faster Neural Style Transfer in Multi-Gigapixel Histology Images
R. Jewsbury
Ruoyu Wang
A. Bhalerao
Nasir M. Rajpoot
Q. Vu
397
7
0
14 Mar 2024
Semi-supervised ViT knowledge distillation network with style transfer
  normalization for colorectal liver metastases survival prediction
Semi-supervised ViT knowledge distillation network with style transfer normalization for colorectal liver metastases survival prediction
Mohamed El Amine Elforaici
E. Montagnon
Francisco Perdigon Romero
W. Le
F. Azzi
Dominique Trudel
Bich Nguyen
Simon Turcotte
An Tang
Samuel Kadoury
MedIm
341
4
0
17 Nov 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
219
1
0
11 Nov 2023
Automatic Data Augmentation Learning using Bilevel Optimization for
  Histopathological Images
Automatic Data Augmentation Learning using Bilevel Optimization for Histopathological Images
Saypraseuth Mounsaveng
I. Laradji
David Vázquez
M. Pedersoli
Ismail Ben Ayed
OOD
222
1
0
21 Jul 2023
Physical Color Calibration of Digital Pathology Scanners for Robust
  Artificial Intelligence Assisted Cancer Diagnosis
Physical Color Calibration of Digital Pathology Scanners for Robust Artificial Intelligence Assisted Cancer DiagnosisModern Pathology (Mod Pathol), 2023
X. Ji
Richard Salmon
N. Mulliqi
U. Khan
Yinxi Wang
...
M. Rantalainen
L. Egevad
Pekka Ruusuvuori
M. Eklund
K. Kartasalo
161
17
0
07 Jul 2023
PseudoCell: Hard Negative Mining as Pseudo Labeling for Deep
  Learning-Based Centroblast Cell Detection
PseudoCell: Hard Negative Mining as Pseudo Labeling for Deep Learning-Based Centroblast Cell DetectionIEEE Open Journal of Engineering in Medicine and Biology (JOEMB), 2023
Narongrid Seesawad
Piyalitt Ittichaiwong
Thapanun Sudhawiyangkul
Phattarapong Sawangjai
P. Thuwajit
...
N. Angkathunyakul
Narit Hnoohom
Sumeth Yuenyong
C. Thuwajit
Theerawit Wilaiprasitporn
111
3
0
06 Jul 2023
ParamNet: A Dynamic Parameter Network for Fast Multi-to-One Stain
  Normalization
ParamNet: A Dynamic Parameter Network for Fast Multi-to-One Stain Normalization
Hongtao Kang
Die Luo
Li Chen
Junbo Hu
Tingwei Quan
Shaoqun Zeng
Shenghua Cheng
Xiuli Liu
MedIm
275
0
0
11 May 2023
Breast Cancer Histopathology Image based Gene Expression Prediction
  using Spatial Transcriptomics data and Deep Learning
Breast Cancer Histopathology Image based Gene Expression Prediction using Spatial Transcriptomics data and Deep LearningScientific Reports (Sci Rep), 2023
M. Rahaman
Ewan K. A. Millar
Erik H. W. Meijering
MedIm
192
47
0
17 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
331
10
0
30 Jan 2023
Multi-domain stain normalization for digital pathology: A
  cycle-consistent adversarial network for whole slide images
Multi-domain stain normalization for digital pathology: A cycle-consistent adversarial network for whole slide images
Martin J. Hetz
Tabea-Clara Bucher
T. Brinker
OODMedIm
266
29
0
23 Jan 2023
FedDAR: Federated Domain-Aware Representation Learning
FedDAR: Federated Domain-Aware Representation LearningInternational Conference on Learning Representations (ICLR), 2022
Aoxiao Zhong
Hao He
Tongzheng Ren
Na Li
Shijie Zhao
OODAI4CE
341
16
0
08 Sep 2022
RandStainNA: Learning Stain-Agnostic Features from Histology Slides by
  Bridging Stain Augmentation and Normalization
RandStainNA: Learning Stain-Agnostic Features from Histology Slides by Bridging Stain Augmentation and NormalizationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
Yiqing Shen
Yulin Luo
Hongtu Zhu
Jing Ke
OOD
222
72
0
25 Jun 2022
RestainNet: a self-supervised digital re-stainer for stain normalization
RestainNet: a self-supervised digital re-stainer for stain normalizationComputers & electrical engineering (CEE), 2022
Bingchao Zhao
Jiatai Lin
C. Liang
Zongjian Yi
Xin Chen
...
Weihao Qiu
Dan Li
Li Liang
Chu Han
Zaiyi Liu
245
38
0
28 Feb 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
307
15
0
17 Jan 2022
A Pathology Deep Learning System Capable of Triage of Melanoma Specimens
  Utilizing Dermatopathologist Consensus as Ground Truth
A Pathology Deep Learning System Capable of Triage of Melanoma Specimens Utilizing Dermatopathologist Consensus as Ground Truth
Sivaramakrishnan Sankarapandian
S. Kohn
Vaughn Spurrier
S. Grullon
R. Soans
...
K. Motaparthi
Jason B. Lee
W. Shon
Michael J. Bonham
Julianna D. Ianni
LM&MAMedIm
107
19
0
15 Sep 2021
Multi-Channel Auto-Encoders and a Novel Dataset for Learning Domain
  Invariant Representations of Histopathology Images
Multi-Channel Auto-Encoders and a Novel Dataset for Learning Domain Invariant Representations of Histopathology Images
A. Moyes
R. Gault
Kuncai Zhang
J. Ming
Danny Crookes
Jing Wang
OOD
143
0
0
15 Jul 2021
Machine Learning Methods for Histopathological Image Analysis: A Review
Machine Learning Methods for Histopathological Image Analysis: A Review
Jonathan de Matos
S. Ataky
A. Britto
L. S. Oliveira
Alessandro Lameiras Koerich
171
74
0
07 Feb 2021
StainNet: a fast and robust stain normalization network
StainNet: a fast and robust stain normalization networkFrontiers in Medicine (Front. Med.), 2020
Hongtao Kang
Die Luo
Weihua Feng
Junbo Hu
Shaoqun Zeng
Tingwei Quan
Xiuli Liu
OODMedIm
441
106
0
23 Dec 2020
Histopathological Stain Transfer using Style Transfer Network with
  Adversarial Loss
Histopathological Stain Transfer using Style Transfer Network with Adversarial LossInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2020
Harshal Nishar
Nikhil Chavanke
Nitin Singhal
OODMedIm
112
17
0
06 Oct 2020
Orientation-Disentangled Unsupervised Representation Learning for
  Computational Pathology
Orientation-Disentangled Unsupervised Representation Learning for Computational Pathology
Maxime W. Lafarge
J. Pluim
M. Veta
DRL
231
8
0
26 Aug 2020
Deep Transfer Learning for Texture Classification in Colorectal Cancer
  Histology
Deep Transfer Learning for Texture Classification in Colorectal Cancer HistologyIAPR International Workshop on Artificial Neural Networks in Pattern Recognition (ANNPR), 2020
Srinath Jayachandran
Ashlin Ghosh
MedIm
135
9
0
03 Apr 2020
Pix2Pix-based Stain-to-Stain Translation: A Solution for Robust Stain
  Normalization in Histopathology Images Analysis
Pix2Pix-based Stain-to-Stain Translation: A Solution for Robust Stain Normalization in Histopathology Images AnalysisIranian Conference on Machine Vision and Image Processing (IMVIP), 2020
Pegah Salehi
A. Chalechale
MedIm
149
100
0
03 Feb 2020
Data Augmentation for Histopathological Images Based on
  Gaussian-Laplacian Pyramid Blending
Data Augmentation for Histopathological Images Based on Gaussian-Laplacian Pyramid BlendingIEEE International Joint Conference on Neural Network (IJCNN), 2020
S. Ataky
Jonathan de Matos
A. Britto
L. S. Oliveira
Alessandro Lameiras Koerich
223
29
0
31 Jan 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
467
686
0
28 Dec 2019
Stain Style Transfer using Transitive Adversarial Networks
Stain Style Transfer using Transitive Adversarial Networks
Shaojin Cai
Yuyang Xue
Min Du
Gang Chen
Hejun Zhang
Tong Tong
MedIm
156
19
0
23 Oct 2019
Breast Cancer Diagnosis with Transfer Learning and Global Pooling
Breast Cancer Diagnosis with Transfer Learning and Global PoolingInformation and Communication Technology Convergence (ICTC), 2019
Sara Hosseinzadeh Kassani
P. H. Kassani
M. Wesolowski
Kevin A. Schneider
Ralph Deters
266
94
0
26 Sep 2019
A Closer Look at Domain Shift for Deep Learning in Histopathology
A Closer Look at Domain Shift for Deep Learning in Histopathology
Karin Stacke
Gabriel Eilertsen
Jonas Unger
Claes Lundström
OOD
233
74
0
25 Sep 2019
Augmenting the Pathology Lab: An Intelligent Whole Slide Image
  Classification System for the Real World
Augmenting the Pathology Lab: An Intelligent Whole Slide Image Classification System for the Real World
Julianna D. Ianni
R. Soans
Sivaramakrishnan Sankarapandian
R. V. Chamarthi
Devi Ayyagari
...
Coleman C. Stavish
K. Motaparthi
C. Cockerell
T. A. Feeser
Jason B. Lee
213
13
0
24 Sep 2019
Multi-stage domain adversarial style reconstruction for cytopathological
  image stain normalization
Multi-stage domain adversarial style reconstruction for cytopathological image stain normalization
Xihao Chen
Jingya Yu
Li Chen
Shaoqun Zeng
Xiuli Liu
Shenghua Cheng
MedImOOD
183
1
0
11 Sep 2019
Deep Weakly-Supervised Learning Methods for Classification and
  Localization in Histology Images: A Survey
Deep Weakly-Supervised Learning Methods for Classification and Localization in Histology Images: A SurveyMachine Learning for Biomedical Imaging (MLBI), 2019
Jérôme Rony
Soufiane Belharbi
Jose Dolz
Ismail Ben Ayed
Luke McCaffrey
Eric Granger
522
76
0
08 Sep 2019
Improving Malaria Parasite Detection from Red Blood Cell using Deep
  Convolutional Neural Networks
Improving Malaria Parasite Detection from Red Blood Cell using Deep Convolutional Neural Networks
Aimon Rahman
H. Zunair
Mohammad Sohel Rahman
Jesia Quader Yuki
S. Biswas
Md. Ashraful Alam
N. Alam
M. Mahdy
314
63
0
23 Jul 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
163
25
0
10 Jul 2019
DIVA: Domain Invariant Variational Autoencoders
DIVA: Domain Invariant Variational Autoencoders
Maximilian Ilse
Jakub M. Tomczak
Christos Louizos
Max Welling
DRLOOD
552
234
0
24 May 2019
Histopathologic Image Processing: A Review
Histopathologic Image Processing: A Review
Jonathan de Matos
A. Britto
L. S. Oliveira
Alessandro Lameiras Koerich
215
28
0
16 Apr 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
MedImOOD
306
605
0
18 Feb 2019
Neural Image Compression for Gigapixel Histopathology Image Analysis
Neural Image Compression for Gigapixel Histopathology Image AnalysisIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018
David Tellez
G. Litjens
Jeroen van der Laak
F. Ciompi
252
237
0
07 Nov 2018
Quantitative Phase Imaging and Artificial Intelligence: A Review
Quantitative Phase Imaging and Artificial Intelligence: A Review
YoungJu Jo
Hyungjoon Cho
Sang Yun Lee
Gunho Choi
Geon Kim
Hyun-Seok Min
Yongkeun Park
321
163
0
06 Jun 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
200
315
0
04 Apr 2018
Deep Learning Framework for Multi-class Breast Cancer Histology Image
  Classification
Deep Learning Framework for Multi-class Breast Cancer Histology Image Classification
Y. S. Vang
Zhen Chen
Xiaohui Xie
169
103
0
03 Feb 2018
Classification and Disease Localization in Histopathology Using Only
  Global Labels: A Weakly-Supervised Approach
Classification and Disease Localization in Histopathology Using Only Global Labels: A Weakly-Supervised Approach
P. Courtiol
Eric W. Tramel
Marc Sanselme
G. Wainrib
199
125
0
01 Feb 2018
Neural Stain-Style Transfer Learning using GAN for Histopathological
  Images
Neural Stain-Style Transfer Learning using GAN for Histopathological Images
H. Cho
Sungbin Lim
Gunho Choi
Hyun-Seok Min
GANMedIm
138
95
0
23 Oct 2017
Machine learning methods for histopathological image analysis
Machine learning methods for histopathological image analysis
D. Komura
S. Ishikawa
288
819
0
04 Sep 2017
Context-aware stacked convolutional neural networks for classification
  of breast carcinomas in whole-slide histopathology images
Context-aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images
B. Bejnordi
G. Zuidhof
M. Balkenhol
M. Hermsen
P. Bult
Bram van Ginneken
N. Karssemeijer
G. Litjens
Jeroen van der Laak
267
170
0
10 May 2017
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