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1808.05883
Cited By

Epithelium segmentation using deep learning in H&E-stained prostate
specimens with immunohistochemistry as reference standard

v1v2 (latest)

Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard

17 August 2018

Jeroen van der Laak

Bram van Ginneken

C. Hulsbergen–van de Kaa

ArXiv (abs)PDF HTML

Papers citing "Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard"

33 / 33 papers shown

OctreeNCA: Single-Pass 184 MP Segmentation on Consumer Hardware

OctreeNCA: Single-Pass 184 MP Segmentation on Consumer Hardware

Niklas Babendererde

Anirban Mukhopadhyay

114

0

0

09 Aug 2025

Artificial Intelligence-Assisted Prostate Cancer Diagnosis for Reduced Use of Immunohistochemistry

Artificial Intelligence-Assisted Prostate Cancer Diagnosis for Reduced Use of ImmunohistochemistryCommunications Medicine (Commun. Med.), 2025

Kelvin Szolnoky

Sol Erika Boman

...

362

5

0

31 Mar 2025

Tissue Concepts: supervised foundation models in computational pathology

Tissue Concepts: supervised foundation models in computational pathology

Jan Raphael Schaefer

Henning Hoefener

Friedrich Feuerhake

Fabian Kiessling

261

6

0

05 Sep 2024

Artificial Intelligence for Digital and Computational Pathology

Artificial Intelligence for Digital and Computational PathologyNature Reviews Bioengineering (Nat Rev Bioeng), 2023

Guillaume Jaume

Drew F. K. Williamson

Anurag J. Vaidya

Tiffany R. Miller

309

295

0

13 Dec 2023

Immunohistochemistry guided segmentation of benign epithelial cells, in
situ lesions, and invasive epithelial cells in breast cancer slides

Immunohistochemistry guided segmentation of benign epithelial cells, in situ lesions, and invasive epithelial cells in breast cancer slidesPLoS ONE (PLoS ONE), 2023

André Pedersen

...

Ingerid Reinertsen

139

1

0

22 Nov 2023

Automated Volume Corrected Mitotic Index Calculation Through
Annotation-Free Deep Learning using Immunohistochemistry as Reference
Standard

Automated Volume Corrected Mitotic Index Calculation Through Annotation-Free Deep Learning using Immunohistochemistry as Reference Standard

Katharina Breininger

Marc Aubreville

201

0

0

15 Nov 2023

Jointly Exploring Client Drift and Catastrophic Forgetting in Dynamic
Learning

Jointly Exploring Client Drift and Catastrophic Forgetting in Dynamic LearningScientific Reports (Sci Rep), 2023

Niklas Babendererde

Camila González

Anirban Mukhopadhyay

240

6

0

01 Sep 2023

A Fully Automated and Explainable Algorithm for the Prediction of
Malignant Transformation in Oral Epithelial Dysplasia

A Fully Automated and Explainable Algorithm for the Prediction of Malignant Transformation in Oral Epithelial Dysplasia

R. M. S. Bashir

Mostafa Jahanifar

...

Nasir M. Rajpoot

260

6

0

06 Jul 2023

Federated Learning for Medical Image Analysis: A Survey

Federated Learning for Medical Image Analysis: A SurveyPattern Recognition (Pattern Recogn.), 2023

651

357

0

09 Jun 2023

Composite Biomarker Image for Advanced Visualization in Histopathology

Composite Biomarker Image for Advanced Visualization in HistopathologyAnnual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2023

H. R. Tizhoosh

79

0

0

24 Apr 2023

Digital staining in optical microscopy using deep learning -- a review

Digital staining in optical microscopy using deep learning -- a review

Xiang Li

...

278

32

0

14 Mar 2023

Leveraging weak complementary labels to improve semantic segmentation of
hepatocellular carcinoma and cholangiocarcinoma in H&E-stained slides

Leveraging weak complementary labels to improve semantic segmentation of hepatocellular carcinoma and cholangiocarcinoma in H&E-stained slides

Johannes Eschrich

Maximilian Alber

S. Schallenberg

Frederick Klauschen

182

0

0

03 Feb 2023

Learning Melanocytic Cell Masks from Adjacent Stained Tissue

Learning Melanocytic Cell Masks from Adjacent Stained Tissue

Elizabeth S. Keiser

Michael J. Keiser

122

2

0

01 Nov 2022

Federated Stain Normalization for Computational Pathology

Federated Stain Normalization for Computational PathologyInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022

Anirban Mukhopadhyay

OOD FedML MedIm

286

20

0

29 Sep 2022

A Pathologist-Informed Workflow for Classification of Prostate Glands in
Histopathology

A Pathologist-Informed Workflow for Classification of Prostate Glands in Histopathology

Alessandro Ferrero

Beatrice Knudsen

Ross T. Whitaker

297

0

0

27 Sep 2022

Deepfake histological images for enhancing digital pathology

Deepfake histological images for enhancing digital pathology

Kianoush Falahkheirkhah

L. Herrera-Hernandez

Michael R. McCarthy

Rafael E. Jimenez

221

3

0

16 Jun 2022

A review of machine learning approaches, challenges and prospects for
computational tumor pathology

A review of machine learning approaches, challenges and prospects for computational tumor pathology

273

9

0

31 May 2022

A SSIM Guided cGAN Architecture For Clinically Driven Generative Image
Synthesis of Multiplexed Spatial Proteomics Channels

A SSIM Guided cGAN Architecture For Clinically Driven Generative Image Synthesis of Multiplexed Spatial Proteomics ChannelsIEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2022

Jillur Rahman Saurav

286

9

0

20 May 2022

Simultaneous Nuclear Instance and Layer Segmentation in Oral Epithelial
Dysplasia

Simultaneous Nuclear Instance and Layer Segmentation in Oral Epithelial Dysplasia

R. M. S. Bashir

Mostafa Jahanifar

Nasir M. Rajpoot

235

31

0

31 Aug 2021

Comparison of Consecutive and Re-stained Sections for Image Registration
in Histopathology

Comparison of Consecutive and Re-stained Sections for Image Registration in Histopathology

Jeroen van der Laak

Stefan Heldmann

266

14

0

24 Jun 2021

Spectral decoupling allows training transferable neural networks in
medical imaging

Spectral decoupling allows training transferable neural networks in medical imagingiScience (iScience), 2021

Carolin Sturenberg

Antti Rannikkoy

366

12

0

31 Mar 2021

Automated Prostate Cancer Diagnosis Based on Gleason Grading Using Convolutional Neural Network

129

2

0

29 Nov 2020

Deep Learning in Computer-Aided Diagnosis and Treatment of Tumors: A
Survey

Deep Learning in Computer-Aided Diagnosis and Treatment of Tumors: A Survey

Thomas Lukasiewicz

386

4

0

02 Nov 2020

Deep Learning Methods for Lung Cancer Segmentation in Whole-slide
Histopathology Images -- the ACDC@LungHP Challenge 2019

Deep Learning Methods for Lung Cancer Segmentation in Whole-slide Histopathology Images -- the ACDC@LungHP Challenge 2019

Zhang Li

...

252

120

0

21 Aug 2020

C2G-Net: Exploiting Morphological Properties for Image Classification

C2G-Net: Exploiting Morphological Properties for Image Classification

Thomas W. Pieber

P. López-García

140

1

0

07 Jul 2020

Deep neural network models for computational histopathology: A survey

Deep neural network models for computational histopathology: A survey

467

686

0

28 Dec 2019

Multi-scale fully convolutional neural networks for histopathology image
segmentation: from nuclear aberrations to the global tissue architecture

Multi-scale fully convolutional neural networks for histopathology image segmentation: from nuclear aberrations to the global tissue architecture

Rüdiger Schmitz

266

107

0

24 Sep 2019

Plexus Convolutional Neural Network (PlexusNet): A novel neural network
architecture for histologic image analysis

Plexus Convolutional Neural Network (PlexusNet): A novel neural network architecture for histologic image analysis

336

3

0

24 Aug 2019

Automated Gleason Grading of Prostate Biopsies using Deep Learning

Automated Gleason Grading of Prostate Biopsies using Deep LearningThe Lancet Oncology (Lancet Oncol.), 2019

H. V. van Boven

Bram van Ginneken

J. A. van der Laak

C. Hulsbergen–van de Kaa

200

542

0

18 Jul 2019

Dealing with Label Scarcity in Computational Pathology: A Use Case in
Prostate Cancer Classification

Dealing with Label Scarcity in Computational Pathology: A Use Case in Prostate Cancer Classification

124

8

0

16 May 2019

Advanced Deep Convolutional Neural Network Approaches for Digital
Pathology Image Analysis: a comprehensive evaluation with different use cases

Advanced Deep Convolutional Neural Network Approaches for Digital Pathology Image Analysis: a comprehensive evaluation with different use cases

Md. Zahangir Alom

Theus H. Aspiras

209

35

0

19 Apr 2019

Robust, fast and accurate: a 3-step method for automatic histological
image registration

Robust, fast and accurate: a 3-step method for automatic histological image registration

Stefan Heldmann

118

25

0

28 Mar 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

Jeroen van der Laak

307

605

0

18 Feb 2019

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