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@ARTICLE{Reinke:288084,
      author       = {A. Reinke$^*$ and M. D. Tizabi$^*$ and M. Baumgartner$^*$
                      and M. Eisenmann$^*$ and D. Heckmann-Nötzel$^*$ and A. E.
                      Kavur$^*$ and T. Rädsch$^*$ and C. H. Sudre and L. Acion
                      and M. Antonelli and T. Arbel and S. Bakas and A. Benis and
                      F. Büttner$^*$ and M. J. Cardoso and V. Cheplygina and J.
                      Chen and E. Christodoulou$^*$ and B. A. Cimini and K.
                      Farahani and L. Ferrer and A. Galdran and B. van Ginneken
                      and B. Glocker and P. Godau$^*$ and D. A. Hashimoto and M.
                      M. Hoffman and M. Huisman and F. Isensee$^*$ and P. Jannin
                      and C. E. Kahn and D. Kainmueller and B. Kainz and A.
                      Karargyris and J. Kleesiek and F. Kofler and T. Kooi and A.
                      Kopp-Schneider$^*$ and M. Kozubek and A. Kreshuk and T. Kurc
                      and B. A. Landman and G. Litjens and A. Madani and K.
                      Maier-Hein$^*$ and A. L. Martel and E. Meijering and B.
                      Menze and K. G. M. Moons and H. Müller and B. Nichyporuk
                      and F. Nickel and J. Petersen and S. M. Rafelski and N.
                      Rajpoot and M. Reyes and M. A. Riegler and N. Rieke and J.
                      Saez-Rodriguez and C. I. Sánchez and S. Shetty and R. M.
                      Summers and A. A. Taha and A. Tiulpin and S. A. Tsaftaris
                      and B. Van Calster and G. Varoquaux and Z. R. Yaniv and P.
                      Jäger$^*$ and L. Maier-Hein$^*$},
      title        = {{U}nderstanding metric-related pitfalls in image analysis
                      validation.},
      journal      = {Nature methods},
      volume       = {21},
      number       = {2},
      issn         = {1548-7091},
      address      = {London [u.a.]},
      publisher    = {Nature Publishing Group},
      reportid     = {DKFZ-2024-00338},
      pages        = {182 - 194},
      year         = {2024},
      note         = {#EA:E130#LA:E130#LA:E290#},
      abstract     = {Validation metrics are key for tracking scientific progress
                      and bridging the current chasm between artificial
                      intelligence research and its translation into practice.
                      However, increasing evidence shows that, particularly in
                      image analysis, metrics are often chosen inadequately.
                      Although taking into account the individual strengths,
                      weaknesses and limitations of validation metrics is a
                      critical prerequisite to making educated choices, the
                      relevant knowledge is currently scattered and poorly
                      accessible to individual researchers. Based on a multistage
                      Delphi process conducted by a multidisciplinary expert
                      consortium as well as extensive community feedback, the
                      present work provides a reliable and comprehensive common
                      point of access to information on pitfalls related to
                      validation metrics in image analysis. Although focused on
                      biomedical image analysis, the addressed pitfalls generalize
                      across application domains and are categorized according to
                      a newly created, domain-agnostic taxonomy. The work serves
                      to enhance global comprehension of a key topic in image
                      analysis validation.},
      subtyp        = {Review Article},
      cin          = {E130 / E230 / C060 / E290 / FM01},
      ddc          = {610},
      cid          = {I:(DE-He78)E130-20160331 / I:(DE-He78)E230-20160331 /
                      I:(DE-He78)C060-20160331 / I:(DE-He78)E290-20160331 /
                      I:(DE-He78)FM01-20160331},
      pnm          = {315 - Bildgebung und Radioonkologie (POF4-315)},
      pid          = {G:(DE-HGF)POF4-315},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:38347140},
      doi          = {10.1038/s41592-023-02150-0},
      url          = {https://inrepo02.dkfz.de/record/288084},
}