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ACROBAT -- a multi-stain breast cancer histological whole-slide-image
  data set from routine diagnostics for computational pathology

ACROBAT -- a multi-stain breast cancer histological whole-slide-image data set from routine diagnostics for computational pathology

24 November 2022
Philippe Weitz
Masi Valkonen
Leslie Solorzano
Circe Carr
K. Kartasalo
Constance Boissin
Sonja Koivukoski
Aino Kuusela
Dusan Rasic
Yanbo Feng
S. Pouplier
Abhinav Sharma
Kajsa Ledesma Eriksson
Leena Latonen
A. Laenkholm
J. Hartman
Pekka Ruusuvuori
M. Rantalainen
ArXiv (abs)PDFHTML

Papers citing "ACROBAT -- a multi-stain breast cancer histological whole-slide-image data set from routine diagnostics for computational pathology"

9 / 9 papers shown
Cross-Stain Contrastive Learning for Paired Immunohistochemistry and Histopathology Slide Representation Learning
Cross-Stain Contrastive Learning for Paired Immunohistochemistry and Histopathology Slide Representation LearningIEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025
Yizhi Zhang
Lei Fan
Zhulin Tao
Donglin Di
Yang Song
Sidong Liu
Cong Cong
153
0
0
03 Dec 2025
Content Generation Models in Computational Pathology: A Comprehensive Survey on Methods, Applications, and Challenges
Content Generation Models in Computational Pathology: A Comprehensive Survey on Methods, Applications, and Challenges
Yuan Zhang
Xinfeng Zhang
Xiaoming Qi Xinyu Wu
Xinyu Wu
Feng Chen
Guanyu Yang
Huazhu Fu
MedImLM&MAAI4CE
472
1
0
16 May 2025
UWarp: A Whole Slide Image Registration Pipeline to Characterize Scanner-Induced Local Domain Shift
UWarp: A Whole Slide Image Registration Pipeline to Characterize Scanner-Induced Local Domain Shift
Antoine Schieb
Bilal Hadjadji
Daniel Tshokola Mweze
Natalia Fernanda Valderrama
V. Derangère
...
Shrief Abdelazeez
Vincenzo Della Mea
Anna Korzynska
Nathan Vinçon
Louis-Oscar Morel
OOD
382
0
0
26 Mar 2025
Improving Quality Control of Whole Slide Images by Explicit Artifact
  Augmentation
Improving Quality Control of Whole Slide Images by Explicit Artifact Augmentation
Artur Jurgas
Marek Wodzinski
Marina DÁmato
Jeroen van der Laak
Manfredo Atzori
Henning Muller
139
7
0
17 Jun 2024
RegWSI: Whole Slide Image Registration using Combined Deep Feature- and
  Intensity-Based Methods: Winner of the ACROBAT 2023 Challenge
RegWSI: Whole Slide Image Registration using Combined Deep Feature- and Intensity-Based Methods: Winner of the ACROBAT 2023 Challenge
Marek Wodzinski
Niccolo Marini
Manfredo Atzori
Henning Muller
282
15
0
19 Apr 2024
DeeperHistReg: Robust Whole Slide Images Registration Framework
DeeperHistReg: Robust Whole Slide Images Registration Framework
Marek Wodzinski
Niccolo Marini
Manfredo Atzori
Henning Muller
139
11
0
19 Apr 2024
Quilt-1M: One Million Image-Text Pairs for Histopathology
Quilt-1M: One Million Image-Text Pairs for HistopathologyNeural Information Processing Systems (NeurIPS), 2023
Wisdom O. Ikezogwo
M. S. Seyfioglu
Fatemeh Ghezloo
Dylan Stefan Chan Geva
Fatwir Sheikh Mohammed
Pavan Kumar Anand
Ranjay Krishna
Linda G. Shapiro
CLIPVLM
784
205
0
20 Jun 2023
The ACROBAT 2022 Challenge: Automatic Registration Of Breast Cancer
  Tissue
The ACROBAT 2022 Challenge: Automatic Registration Of Breast Cancer Tissue
Philippe Weitz
Masi Valkonen
Leslie Solorzano
Circe Carr
K. Kartasalo
...
Leena Latonen
A. Laenkholm
Johan Hartman
Pekka Ruusuvuori
M. Rantalainen
OOD
144
22
0
29 May 2023
Increasing the usefulness of already existing annotations through WSI
  registration
Increasing the usefulness of already existing annotations through WSI registration
Philippe Weitz
Viktoria Sartor
B. Ács
S. Robertson
Daniel Budelmann
J. Hartman
M. Rantalainen
153
2
0
12 Mar 2023
1
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