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Sources of performance variability in deep learning-based polyp
  detection

Sources of performance variability in deep learning-based polyp detection

International Journal of Computer Assisted Radiology and Surgery (IJCARS), 2022
17 November 2022
T. Tran
T. Adler
Amine Yamlahi
E. Christodoulou
Patrick Godau
Annika Reinke
M. Tizabi
Peter Sauer
Tillmann Persicke
Jörg Gerhard Albert
Lena Maier-Hein
ArXiv (abs)PDFHTML

Papers citing "Sources of performance variability in deep learning-based polyp detection"

3 / 3 papers shown
Strategies to Improve Real-World Applicability of Laparoscopic Anatomy
  Segmentation Models
Strategies to Improve Real-World Applicability of Laparoscopic Anatomy Segmentation Models
Fiona R. Kolbinger
Jiangpeng He
Jinge Ma
Fengqing Zhu
215
5
0
25 Mar 2024
Understanding metric-related pitfalls in image analysis validation
Understanding metric-related pitfalls in image analysis validationNature Methods (Nat Methods), 2023
Annika Reinke
M. Tizabi
Michael Baumgartner
Matthias Eisenmann
Doreen Heckmann-Notzel
...
Gaël Varoquaux
Manuel Wiesenfarth
Ziv R. Yaniv
Paul F. Jäger
Lena Maier-Hein
245
145
0
03 Feb 2023
Metrics reloaded: Recommendations for image analysis validation
Metrics reloaded: Recommendations for image analysis validationNature Methods (Nat Methods), 2022
Lena Maier-Hein
Annika Reinke
Patrick Godau
M. Tizabi
Florian Buettner
...
Aleksei Tiulpin
Sotirios A. Tsaftaris
Ben Van Calster
Gaël Varoquaux
Paul F. Jäger
582
340
0
03 Jun 2022
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