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

18 February 2019

Jeroen van der Laak

Papers citing "Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology"

18 / 18 papers shown

Title
Pathological Prior-Guided Multiple Instance Learning For Mitigating Catastrophic Forgetting in Breast Cancer Whole Slide Image Classification Weixi Zheng Aoling Huang. Jingping Yuan Jingping Yuan Haoyu Zhao Zhou Zhao Yongchao Xu Thierry Géraud CLL 77 0 0 08 Mar 2025
Transfer Learning Strategies for Pathological Foundation Models: A Systematic Evaluation in Brain Tumor Classification Ken Enda Yoshitaka Oda Zen-ichi Tanei Wang Lei Masumi Tsuda ... Shinya Tanaka Takahiro Ogawa Wang Lei Masumi Tsuda Shinya Tanaka 74 0 0 19 Jan 2025
StainDiffuser: MultiTask Dual Diffusion Model for Virtual Staining Tushar Kataria Beatrice Knudsen Shireen Y. Elhabian DiffM MedIm 57 9 0 17 Mar 2024
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 36 243 0 17 Aug 2018
Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard W. Bulten Péter Bándi Jeffrey Hoven Rob van de Loo J. Lotz Nick Weiss Jeroen van der Laak Bram van Ginneken C. Hulsbergen–van de Kaa G. Litjens 27 149 0 17 Aug 2018
Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge M. Veta Y. Heng N. Stathonikos B. Bejnordi F. Beca ... E. Chang Yan Xu Andrew H. Beck P. Diest J. Pluim 37 262 0 22 Jul 2018
Neural Stain-Style Transfer Learning using GAN for Histopathological Images H. Cho Sungbin Lim Gunho Choi Hyun-Seok Min GAN MedIm 42 91 0 23 Oct 2017
Machine learning methods for histopathological image analysis D. Komura S. Ishikawa 34 695 0 04 Sep 2017
Context-based Normalization of Histological Stains using Deep Convolutional Features Daniel Bug Steffen Schneider A. Grote E. Oswald Friedrich Feuerhake J. Schüler Dorit Merhof MedIm 20 35 0 14 Aug 2017
Detecting Cancer Metastases on Gigapixel Pathology Images Yun-Hui Liu Krishna Gadepalli Mohammad Norouzi George E. Dahl Timo Kohlberger ... Phil Q. Nelson G. Corrado J. Hipp L. Peng Martin C. Stumpe MedIm LM&MA 55 638 0 03 Mar 2017
The importance of stain normalization in colorectal tissue classification with convolutional networks 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 31 201 0 20 Feb 2017
Gland Segmentation in Colon Histology Images: The GlaS Challenge Contest K. Sirinukunwattana J. Pluim Hao Chen Xiaojuan Qi Pheng-Ann Heng ... Philipp Kainz Michael Pfeiffer M. Urschler David R. J. Snead Nasir M. Rajpoot 51 792 0 01 Mar 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.0K 76,547 0 18 May 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 279 43,154 0 11 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 678 149,474 0 22 Dec 2014
Striving for Simplicity: The All Convolutional Net Jost Tobias Springenberg Alexey Dosovitskiy Thomas Brox Martin Riedmiller FAtt 159 4,653 0 21 Dec 2014
scikit-image: Image processing in Python Stéfan van der Walt Johannes L. Schonberger Juan Nunez-Iglesias François Boulogne Joshua D. Warner Neil Yager Emmanuelle Gouillart Tony Yu the scikit-image contributors SSeg GP VLM 104 4,351 0 23 Jul 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 344 16,972 0 20 Dec 2013