Interobserver variability between experienced and inexperienced observers in the histopathological analysis of Wilms tumors: a pilot study for future algorithmic approach

• Main Authors: Jikke J. Rutgers (Author), Tessa Bánki (Author), Ananda van der Kamp (Author), Tomas J. Waterlander (Author), Marijn A. Scheijde-Vermeulen (Author), Marry M. van den Heuvel-Eibrink (Author), Jeroen A. W. M. van der Laak (Author), Marta Fiocco (Author), Annelies M. C. Mavinkurve-Groothuis (Author), Ronald R. de Krijger (Author)
• Format: Book
• Published: BMC, 2021-08-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Abstract Background Histopathological classification of Wilms tumors determines treatment regimen. Machine learning has been shown to contribute to histopathological classification in various malignancies but requires large numbers of manually annotated images and thus specific pathological knowledg...