The utility of artificial intelligence in the assessment of prostate pathology.

Journal: Histopathology
Published Date: May 1, 2020

Abstract

No abstract available for this article.

Authors

  • Lars Egevad
    Department of Oncology and Pathology, Karolinska Institutet, Stockholm, Sweden.
  • Peter Ström
    Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
  • Kimmo Kartasalo
    BioMediTech and Faculty of Medicine and Life Sciences, University of Tampere, Tampere, Finland.
  • Henrik Olsson
    Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
  • Hemamali Samaratunga
    Aquesta Uropathology and University of Queensland, Brisbane, QLD, Australia.
  • Brett Delahunt
    Department of Pathology and Molecular Medicine, Wellington School of Medicine and Health Sciences, University of Otago, Wellington, New Zealand.
  • Martin Eklund
    Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden. Electronic address: martin.eklund@ki.se.

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