Mitosis domain generalization in histopathology images — The MIDOG challenge

Aubreville, M, Stathonikos, N, Bertram, CA et al. (38 more authors) (2023) Mitosis domain generalization in histopathology images — The MIDOG challenge. Medical Image Analysis, 84. 102699. ISSN 1361-8415

Abstract

Metadata

Authors/Creators:
  • Aubreville, M
  • Stathonikos, N
  • Bertram, CA
  • Klopfleisch, R
  • ter Hoeve, N
  • Ciompi, F
  • Wilm, F
  • Marzahl, C
  • Donovan, TA
  • Maier, A
  • Breen, J ORCID logo https://orcid.org/0000-0002-9020-3383
  • Ravikumar, N ORCID logo https://orcid.org/0000-0003-0134-107X
  • Chung, Y
  • Park, J
  • Nateghi, R
  • Pourakpour, F
  • Fick, RHJ
  • Ben Hadj, S
  • Jahanifar, M
  • Shephard, A
  • Dexl, J
  • Wittenberg, T
  • Kondo, S
  • Lafarge, MW
  • Koelzer, VH
  • Liang, J
  • Wang, Y
  • Long, X
  • Liu, J
  • Razavi, S
  • Khademi, A
  • Yang, S
  • Wang, X
  • Erber, R
  • Klang, A
  • Lipnik, K
  • Bolfa, P
  • Dark, MJ
  • Wasinger, G
  • Veta, M
  • Breininger, K
Copyright, Publisher and Additional Information: © 2022 Elsevier B.V. All rights reserved. This is an author-accepted version of an article published in Medical Image Analysis.
Keywords: Domain generalization; Histopathology; Challenge; Deep Learning; Mitosis
Dates:
  • Accepted: 17 November 2022
  • Published (online): 23 November 2022
  • Published: February 2023
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 18 Jan 2023 14:25
Last Modified: 23 Nov 2023 01:13
Status: Published
Publisher: Elsevier
Identification Number: https://doi.org/10.1016/j.media.2022.102699

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