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Are pathologist-defined labels reproducible? Comparison of the TUPAC16
  mitotic figure dataset with an alternative set of labels

Are pathologist-defined labels reproducible? Comparison of the TUPAC16 mitotic figure dataset with an alternative set of labels

10 July 2020
C. Bertram
M. Veta
Christian Marzahl
N. Stathonikos
Andreas Maier
R. Klopfleisch
Marc Aubreville
ArXiv (abs)PDFHTML

Papers citing "Are pathologist-defined labels reproducible? Comparison of the TUPAC16 mitotic figure dataset with an alternative set of labels"

10 / 10 papers shown
Title
Characterizing the Features of Mitotic Figures Using a Conditional
  Diffusion Probabilistic Model
Characterizing the Features of Mitotic Figures Using a Conditional Diffusion Probabilistic Model
C. D. Bahadir
B. Liechty
D.J. Pisapia
M. Sabuncu
DiffM
54
1
0
05 Oct 2023
Domain generalization across tumor types, laboratories, and species --
  insights from the 2022 edition of the Mitosis Domain Generalization Challenge
Domain generalization across tumor types, laboratories, and species -- insights from the 2022 edition of the Mitosis Domain Generalization Challenge
Marc Aubreville
N. Stathonikos
T. Donovan
R. Klopfleisch
J. Ganz
...
Yongbing Zhang
Sen Yang
Xiyue Wang
Katharina Breininger
C. Bertram
69
21
0
27 Sep 2023
Positive-unlabeled learning for binary and multi-class cell detection in
  histopathology images with incomplete annotations
Positive-unlabeled learning for binary and multi-class cell detection in histopathology images with incomplete annotations
Zipei Zhao
Fengqian Pang
Yao Liu
Zhiwen Liu
Chuyang Ye
40
2
0
16 Feb 2023
Mitosis Detection, Fast and Slow: Robust and Efficient Detection of
  Mitotic Figures
Mitosis Detection, Fast and Slow: Robust and Efficient Detection of Mitotic Figures
Mostafa Jahanifar
A. Shephard
Neda Zamanitajeddin
S. Graham
S. Raza
F. Minhas
Nasir M. Rajpoot
OOD
82
20
0
26 Aug 2022
Mitosis domain generalization in histopathology images -- The MIDOG
  challenge
Mitosis domain generalization in histopathology images -- The MIDOG challenge
Marc Aubreville
N. Stathonikos
C. Bertram
Robert Klopleisch
N. T. ter Hoeve
...
A. Khademi
Sen Yang
Xiyue Wang
M. Veta
Katharina Breininger
88
99
0
06 Apr 2022
Domain Adversarial RetinaNet as a Reference Algorithm for the MItosis
  DOmain Generalization Challenge
Domain Adversarial RetinaNet as a Reference Algorithm for the MItosis DOmain Generalization Challenge
Frauke Wilm
Christian Marzahl
Katharina Breininger
Marc Aubreville
49
14
0
25 Aug 2021
Automatic and explainable grading of meningiomas from histopathology
  images
Automatic and explainable grading of meningiomas from histopathology images
J. Ganz
Tobias Kirsch
Lucas Hoffmann
C. Bertram
Christoph Hoffmann
Andreas Maier
Katharina Breininger
I. Blümcke
Samir Jabari
Marc Aubreville
34
3
0
19 Jul 2021
An Efficient Cervical Whole Slide Image Analysis Framework Based on
  Multi-scale Semantic and Location Deep Features
An Efficient Cervical Whole Slide Image Analysis Framework Based on Multi-scale Semantic and Location Deep Features
Ziquan Wei
Shenghua Cheng
Junbo Hu
Li Chen
Shaoqun Zeng
Xiuli Liu
42
9
0
29 Jun 2021
How Many Annotators Do We Need? -- A Study on the Influence of
  Inter-Observer Variability on the Reliability of Automatic Mitotic Figure
  Assessment
How Many Annotators Do We Need? -- A Study on the Influence of Inter-Observer Variability on the Reliability of Automatic Mitotic Figure Assessment
Frauke Wilm
C. Bertram
Christian Marzahl
A. Bartel
T. Donovan
...
Katharina Breininger
M. Kiupel
Andreas Maier
R. Klopfleisch
Marc Aubreville
43
5
0
04 Dec 2020
A completely annotated whole slide image dataset of canine breast cancer
  to aid human breast cancer research
A completely annotated whole slide image dataset of canine breast cancer to aid human breast cancer research
Marc Aubreville
C. Bertram
T. Donovan
Christian Marzahl
Andreas Maier
R. Klopfleisch
10
1
0
24 Aug 2020
1