Atlas: A Novel Pathology Foundation Model by Mayo Clinic, Charité, and Aignostics

Journal: arXiv
Published Date:

Abstract

Recent advances in digital pathology have demonstrated the effectiveness of foundation models across diverse applications. In this report, we present Atlas, a novel vision foundation model based on the RudolfV approach. Our model was trained on a dataset comprising 1.2 million histopathology whole slide images, collected from two medical institutions: Mayo Clinic and Charit\'e - Universt\"atsmedizin Berlin. Comprehensive evaluations show that Atlas achieves state-of-the-art performance across twenty-one public benchmark datasets, even though it is neither the largest model by parameter count nor by training dataset size.

Authors

  • Maximilian Alber
  • Stephan Tietz
  • Jonas Dippel
  • Timo Milbich
  • Timothée Lesort
  • Panos Korfiatis
  • Moritz Krügener
  • Beatriz Perez Cancer
  • Neelay Shah
  • Alexander Möllers
  • Philipp Seegerer
  • Alexandra Carpen-Amarie
  • Kai Standvoss
  • Gabriel Dernbach
  • Edwin de Jong
  • Simon Schallenberg
  • Andreas Kunft
  • Helmut Hoffer von Ankershoffen
  • Gavin Schaeferle
  • Patrick Duffy
  • Matt Redlon
  • Philipp Jurmeister
  • David Horst
  • Lukas Ruff
  • Klaus-Robert Müller
  • Frederick Klauschen
  • Andrew Norgan