Volumetric Reconstruction of Prostatectomy Specimens from Histology

no code implementations • 29 Nov 2024 • Tom Bisson, Isil Dogan O, Iris Piwonski, Tim-Rasmus Kiehl, Georg Lukas Baumgärtner, Rita Carvalho, Peter Hufnagl, Tobias Penzkofer, Norman Zerbe, Sefer Elezkurtaj

Beyond these reports, the diagnostic process generates extensive and complex information that is difficult to represent in reports, although it is of significant interest to the other medical specialties involved.

3D Reconstruction

Joining Forces for Pathology Diagnostics with AI Assistance: The EMPAIA Initiative

no code implementations • 22 Dec 2023 • Norman Zerbe, Lars Ole Schwen, Christian Geißler, Katja Wiesemann, Tom Bisson, Peter Boor, Rita Carvalho, Michael Franz, Christoph Jansen, Tim-Rasmus Kiehl, Björn Lindequist, Nora Charlotte Pohlan, Sarah Schmell, Klaus Strohmenger, Falk Zakrzewski, Markus Plass, Michael Takla, Tobias Küster, André Homeyer, Peter Hufnagl

Over the past decade, artificial intelligence (AI) methods in pathology have advanced substantially.

Recommendations on test datasets for evaluating AI solutions in pathology

no code implementations • 21 Apr 2022 • André Homeyer, Christian Geißler, Lars Ole Schwen, Falk Zakrzewski, Theodore Evans, Klaus Strohmenger, Max Westphal, Roman David Bülow, Michaela Kargl, Aray Karjauv, Isidre Munné-Bertran, Carl Orge Retzlaff, Adrià Romero-López, Tomasz Sołtysiński, Markus Plass, Rita Carvalho, Peter Steinbach, Yu-Chia Lan, Nassim Bouteldja, David Haber, Mateo Rojas-Carulla, Alireza Vafaei Sadr, Matthias Kraft, Daniel Krüger, Rutger Fick, Tobias Lang, Peter Boor, Heimo Müller, Peter Hufnagl, Norman Zerbe

The recommendations are intended to help AI developers demonstrate the utility of their products and to help regulatory agencies and end users verify reported performance measures.