On the objectivity, reliability, and validity of deep learning enabled bioimage analyses

  1. Dennis Segebarth
  2. Matthias Griebel
  3. Nikolai Stein
  4. Cora R von Collenberg
  5. Corinna Martin
  6. Dominik Fiedler
  7. Lucas B Comeras
  8. Anupam Sah
  9. Victoria Schoeffler
  10. Teresa Lüffe
  11. Alexander Dürr
  12. Rohini Gupta
  13. Manju Sasi
  14. Christina Lillesaar
  15. Maren D Lange
  16. Ramon O Tasan
  17. Nicolas Singewald
  18. Hans-Christian Pape
  19. Christoph M Flath  Is a corresponding author
  20. Robert Blum  Is a corresponding author
  1. University Hospital Würzburg, Germany
  2. University of Würzburg, Germany
  3. Westfälische Wilhlems-Universität, Germany
  4. University of Innsbruck, Austria
  5. University of Inssbruck, Austria

Peer review process

This article was accepted for publication via eLife's original publishing model. eLife publishes the authors' accepted manuscript as a PDF only version before the full Version of Record is ready for publication. Peer reviews are published along with the Version of Record.

History

  1. Version of Record published
  2. Accepted Manuscript published
  3. Accepted
  4. Received

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https://doi.org/10.7554/eLife.59780