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.

Digitization of Pathology Labs: A Review of Lessons Learned

no code implementations • 6 Jun 2023 • Lars Ole Schwen, Tim-Rasmus Kiehl, Rita Carvalho, Norman Zerbe, André Homeyer

Pathology laboratories are increasingly using digital workflows.

Management

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.

Evaluating Generic Auto-ML Tools for Computational Pathology

no code implementations • 7 Dec 2021 • Lars Ole Schwen, Daniela Schacherer, Christian Geißler, André Homeyer

The goal of this article is to evaluate how generic tools for neural network architecture search and hyperparameter optimization perform for common use cases in computational pathology.

Classification Hyperparameter Optimization