Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations

Niccolò Marini, Stefano Marchesin 0001, Sebastian Otálora, Marek Wodzinski, Alessandro Caputo, Mart van Rijthoven, Witali Aswolinskiy, John-Melle Bokhorst, Damian Podareanu, Edyta Petters, Svetla Boytcheva, Genziana Buttafuoco, Simona Vatrano, Filippo Fraggetta, Jeroen van der Laak, Maristella Agosti, Francesco Ciompi, Gianmaria Silvello, Henning Müller, Manfredo Atzori. Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations. npj Digit. Medicine, 5, 2022. [doi]

@article{Marini0OWCRABPP22,
  title = {Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations},
  author = {Niccolò Marini and Stefano Marchesin 0001 and Sebastian Otálora and Marek Wodzinski and Alessandro Caputo and Mart van Rijthoven and Witali Aswolinskiy and John-Melle Bokhorst and Damian Podareanu and Edyta Petters and Svetla Boytcheva and Genziana Buttafuoco and Simona Vatrano and Filippo Fraggetta and Jeroen van der Laak and Maristella Agosti and Francesco Ciompi and Gianmaria Silvello and Henning Müller and Manfredo Atzori},
  year = {2022},
  doi = {10.1038/s41746-022-00635-4},
  url = {https://doi.org/10.1038/s41746-022-00635-4},
  researchr = {https://researchr.org/publication/Marini0OWCRABPP22},
  cites = {0},
  citedby = {0},
  journal = {npj Digit. Medicine},
  volume = {5},
}