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Rethinking Generalization: The Impact of Annotation Style on Medical
  Image Segmentation

Rethinking Generalization: The Impact of Annotation Style on Medical Image Segmentation

31 October 2022
Brennan Nichyporuk
Jillian Cardinell
Justin Szeto
Raghav Mehta
J. Falet
Douglas L. Arnold
Sotirios A. Tsaftaris
Tal Arbel
ArXivPDFHTML

Papers citing "Rethinking Generalization: The Impact of Annotation Style on Medical Image Segmentation"

5 / 5 papers shown
Title
Reliability of deep learning models for anatomical landmark detection:
  The role of inter-rater variability
Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability
Soorena Salari
H. Rivaz
Yiming Xiao
66
1
0
26 Nov 2024
Expert-Adaptive Medical Image Segmentation
Expert-Adaptive Medical Image Segmentation
Binyan Hu
•. A. K. Qin
14
0
0
11 Feb 2024
Tyche: Stochastic In-Context Learning for Medical Image Segmentation
Tyche: Stochastic In-Context Learning for Medical Image Segmentation
Marianne Rakic
Hallee E. Wong
Jose Javier Gonzalez Ortiz
Beth Cimini
John Guttag
Adrian V. Dalca
28
11
0
24 Jan 2024
How inter-rater variability relates to aleatoric and epistemic
  uncertainty: a case study with deep learning-based paraspinal muscle
  segmentation
How inter-rater variability relates to aleatoric and epistemic uncertainty: a case study with deep learning-based paraspinal muscle segmentation
Parinaz Roshanzamir
H. Rivaz
Joshua Ahn
Hamza Mirza
Neda Naghdi
Meagan Anstruther
M. C. Battié
M. Fortin
Yiming Xiao
17
3
0
14 Aug 2023
A Learned Representation For Artistic Style
A Learned Representation For Artistic Style
Vincent Dumoulin
Jonathon Shlens
M. Kudlur
GAN
214
1,156
0
24 Oct 2016
1