Automated identification of glomeruli and synchronised review of special stains in renal biopsies by machine learning and slide registration: a cross-institutional study.

Journal: Histopathology
PMID:

Abstract

AIMS: Machine learning in digital pathology can improve efficiency and accuracy via prescreening with automated feature identification. Studies using uniform histological material have shown promise. Generalised application requires validation on slides from multiple institutions. We used machine learning to identify glomeruli on renal biopsies and compared performance between single and multiple institutions.

Authors

  • David C Wilbur
    Department of Pathology, Harvard Medical School, Boston, Massachusetts, USA.
  • Maxwell L Smith
    Department of Laboratory Medicine and Pathology, Mayo Clinic - Scottsdale, Phoenix, AZ, USA.
  • Lynn D Cornell
    Department of Laboratory Medicine and Pathology, Mayo Clinic - Rochester, Rochester, MN, USA.
  • Alexander Andryushkin
    Corista LLC, Concord, MA, USA.
  • Jason R Pettus
    Department of Pathology and Laboratory Medicine, Dartmouth-Hitchcock Medical Center, Lebanon, MH, USA.