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Poster title Closing the gap in the clinical adoption of computational pathology: a standardized, open-source framework to integrate deep-learning algorithms into the laboratory information system
Poster code P132
Authors
  1. Miriam Angeloni Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany Presenter
  2. Davide Rizzi TESI Group/GPI
  3. Simon Schoen Friedrich-Alexander University (FAU) Erlangen-Nürnberg
  4. Alessandro Caputo University Hospital of Salerno
  5. Francesco Merolla University of Molise
  6. Arndt Hartmann Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
  7. Fulvia Ferrazzi Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
  8. Filippo Fraggetta Gravina Hospital
Form of presentation Poster
Topics
  • 2_imaging