Bulten, Wouter http://orcid.org/0000-0002-6129-5039
Balkenhol, Maschenka http://orcid.org/0000-0001-9457-618X
Belinga, Jean-Joël Awoumou
Brilhante, Américo
Çakır, Aslı
Egevad, Lars
Eklund, Martin
Farré, Xavier
Geronatsiou, Katerina
Molinié, Vincent
Pereira, Guilherme
Roy, Paromita
Saile, Günter
Salles, Paulo
Schaafsma, Ewout
Tschui, Joëlle
Vos, Anne-Marie
ISUP Pathology Imagebase Expert Panel,
van Boven, Hester
Vink, Robert
van der Laak, Jeroen
Hulsbergen-van der Kaa, Christina
Litjens, Geert
Delahunt, Brett
Samaratunga, Hemamali
Grignon, David J.
Evans, Andrew J.
M.Berney, Daniel
Pan, Chin-Chen
Kristiansen, Glen
Kench, James G.
Oxley, Jon
Leite, Katia R.M.
McKenney, Jesse K.
Humphrey, Peter A.
Fine, Samson W.
Tsuzuki, Toyonori
Varma, Murali
Zhou, Ming
Comperat, Eva
Bostwick, David G.
Iczkowski, Kenneth A.
Magi-Galluzzi, Cristina
Srigley, John R.
Takahashi, Hiroyuki
van der Kwast, Theo
Funding for this research was provided by:
KWF Kankerbestrijding (KUN 2015-7970, KUN 2015-7970)
This article is maintained by: Elsevier
Article Title: Artificial intelligence assistance significantly improves Gleason grading of prostate biopsies by pathologists
Journal Title: Modern Pathology
CrossRef DOI link to publisher maintained version: https://doi.org/10.1038/s41379-020-0640-y
Content Type: article
Copyright: © 2021 The Authors.