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Publicly available datasets of breast histopathology H&E whole-slide images: A scoping review
2 June 2023
M. Tafavvoghi
L. A. Bongo
N. Shvetsov
Lill-ToveRasmussen Busund
Department of Computer Science
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Papers citing
"Publicly available datasets of breast histopathology H&E whole-slide images: A scoping review"
5 / 5 papers shown
Dataset creation for supervised deep learning-based analysis of microscopic images - review of important considerations and recommendations
C. Bertram
Viktoria Weiss
Jonas Ammeling
F. Maria Schabel
T. Donovan
Frauke Wilm
Christian Marzahl
Katharina Breininger
Marc Aubreville
63
0
0
04 Dec 2025
A Unified Low-level Foundation Model for Enhancing Pathology Image Quality
Ziyi Liu
Zhe Xu
Jiabo Ma
Wenqaing Li
Junlin Hou
Fuxiang Huang
Xi Wang
R. Chan
T. Wong
Hao Chen
DiffM
MedIm
168
0
0
01 Sep 2025
Open-source framework for detecting bias and overfitting for large pathology images
Anders Sildnes
N. Shvetsov
M. Tafavvoghi
Vi Ngoc-Nha Tran
Kajsa Møllersen
Lill-ToveRasmussen Busund
Thomas K. Kilvær
L. A. Bongo
VLM
269
2
0
03 Mar 2025
Deep learning-based classification of breast cancer molecular subtypes from H&E whole-slide images
Journal of Pathology Informatics (JPI), 2024
M. Tafavvoghi
Anders Sildnes
M. Rakaee
N. Shvetsov
L. A. Bongo
Lill-ToveRasmussen Busund
Kajsa Møllersen
191
21
0
30 Aug 2024
Advancing Histopathology-Based Breast Cancer Diagnosis: Insights into Multi-Modality and Explainability
F. Abdullakutty
Y. Akbari
S. Al-Maadeed
Ahmed Bouridane
R. Hamoudi
346
4
0
07 Jun 2024
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