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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 Normalization

25 June 2022
Yiqing Shen
Yulin Luo
Dinggang Shen
Jing Ke
    OOD
ArXivPDFHTML

Papers citing "RandStainNA: Learning Stain-Agnostic Features from Histology Slides by Bridging Stain Augmentation and Normalization"

18 / 18 papers shown
Title
Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study
Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study
Ali Mammadov
Loic Le Folgoc
Julien Adam
Anne Buronfosse
Gilles Hayem
Guillaume Hocquet
Pietro Gori
SSL
45
0
0
02 May 2025
Pathology Image Restoration via Mixture of Prompts
Pathology Image Restoration via Mixture of Prompts
Jiangdong Cai
Yan Chen
Zhenrong Shen
Haotian Jiang
Honglin Xiong
Kai Xuan
Lichi Zhang
Qian Wang
MedIm
53
0
0
16 Mar 2025
LSA: Latent Style Augmentation Towards Stain-Agnostic Cervical Cancer Screening
Jiangdong Cai
Haotian Jiang
Zhenrong Shen
Yonghao Li
Honglin Xiong
Lichi Zhang
Qian Wang
50
0
0
09 Mar 2025
Are nuclear masks all you need for improved out-of-domain
  generalisation? A closer look at cancer classification in histopathology
Are nuclear masks all you need for improved out-of-domain generalisation? A closer look at cancer classification in histopathology
Dhananjay Tomar
Alexander Binder
Andreas Kleppe
39
0
0
14 Nov 2024
SRA: A Novel Method to Improve Feature Embedding in Self-supervised
  Learning for Histopathological Images
SRA: A Novel Method to Improve Feature Embedding in Self-supervised Learning for Histopathological Images
Hamid Manoochehri
Bodong Zhang
Beatrice Knudsen
Tolga Tasdizen
29
1
0
23 Oct 2024
Understanding Stain Separation Improves Cross-Scanner Adenocarcinoma
  Segmentation with Joint Multi-Task Learning
Understanding Stain Separation Improves Cross-Scanner Adenocarcinoma Segmentation with Joint Multi-Task Learning
Ho Heon Kim
Won Chan Jeong
Young Shin Ko
Young Jin Park
OOD
14
0
0
20 Sep 2024
Virchow2: Scaling Self-Supervised Mixed Magnification Models in
  Pathology
Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology
Eric Zimmermann
Eugene Vorontsov
Julian Viret
Adam Casson
Michal Zelechowski
...
Razik Yousfi
Thomas J. Fuchs
Nicolò Fusi
Siqi Liu
Kristen Severson
MedIm
41
30
0
01 Aug 2024
PathAlign: A vision-language model for whole slide images in
  histopathology
PathAlign: A vision-language model for whole slide images in histopathology
Faruk Ahmed
Andrew Sellergren
Lin Yang
Shawn Xu
Boris Babenko
...
S. Shetty
Daniel Golden
Yun-Hui Liu
David F. Steiner
Ellery Wulczyn
LM&MA
VLM
36
15
0
27 Jun 2024
Hibou: A Family of Foundational Vision Transformers for Pathology
Hibou: A Family of Foundational Vision Transformers for Pathology
Dmitry Nechaev
Alexey Pchelnikov
Ekaterina Ivanova
30
24
0
07 Jun 2024
Data-Centric Foundation Models in Computational Healthcare: A Survey
Data-Centric Foundation Models in Computational Healthcare: A Survey
Yunkun Zhang
Jin Gao
Zheling Tan
Lingfeng Zhou
Kexin Ding
Mu Zhou
Shaoting Zhang
Dequan Wang
AI4CE
39
22
0
04 Jan 2024
Data-Efficient Multimodal Fusion on a Single GPU
Data-Efficient Multimodal Fusion on a Single GPU
Noël Vouitsis
Zhaoyan Liu
S. Gorti
Valentin Villecroze
Jesse C. Cresswell
Guangwei Yu
G. Loaiza-Ganem
M. Volkovs
51
3
0
15 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
25
0
0
11 Nov 2023
Improving Performance in Colorectal Cancer Histology Decomposition using
  Deep and Ensemble Machine Learning
Improving Performance in Colorectal Cancer Histology Decomposition using Deep and Ensemble Machine Learning
Fabi Prezja
L. Annala
Sampsa Kiiskinen
Suvi Lahtinen
Timo Ojala
Pekka Ruusuvuori
Teijo Kuopio
16
12
0
25 Oct 2023
Domain-specific optimization and diverse evaluation of self-supervised
  models for histopathology
Domain-specific optimization and diverse evaluation of self-supervised models for histopathology
Jeremy Lai
Faruk Ahmed
Supriya Vijay
Tiam Jaroensri
Jessica Loo
...
Jonathan Krause
Yun-Hui Liu
Po-Hsuan Cameron Chen
Ellery Wulczyn
David F. Steiner
38
7
0
20 Oct 2023
Self-supervised Representation Learning From Random Data Projectors
Self-supervised Representation Learning From Random Data Projectors
Yi Sui
Tongzi Wu
Jesse C. Cresswell
Ga Wu
George Stein
Xiao Shi Huang
Xiaochen Zhang
M. Volkovs
32
10
0
11 Oct 2023
A Laplacian Pyramid Based Generative H&E Stain Augmentation Network
A Laplacian Pyramid Based Generative H&E Stain Augmentation Network
Fangda Li
Zhiqiang Hu
Wen Chen
A. Kak
MedIm
22
3
0
23 May 2023
Improving Stain Invariance of CNNs for Segmentation by Fusing Channel
  Attention and Domain-Adversarial Training
Improving Stain Invariance of CNNs for Segmentation by Fusing Channel Attention and Domain-Adversarial Training
Kudaibergen Abutalip
Numan Saeed
Mustaqeem Khan
Abdulmotaleb El Saddik
23
2
0
22 Apr 2023
Benchmarking Self-Supervised Learning on Diverse Pathology Datasets
Benchmarking Self-Supervised Learning on Diverse Pathology Datasets
Mingu Kang
Heon Song
Seonwook Park
Donggeun Yoo
Sérgio Pereira
13
129
0
09 Dec 2022
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