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

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 knowledge. This...

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Detalles Bibliográficos
Autores principales: Rutgers, Jikke J., Bánki, Tessa, van der Kamp, Ananda, Waterlander, Tomas J., Scheijde-Vermeulen, Marijn A., van den Heuvel-Eibrink, Marry M., van der Laak, Jeroen A. W. M., Fiocco, Marta, Mavinkurve-Groothuis, Annelies M. C., de Krijger, Ronald R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8380406/
https://www.ncbi.nlm.nih.gov/pubmed/34419100
http://dx.doi.org/10.1186/s13000-021-01136-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8380406/
https://www.ncbi.nlm.nih.gov/pubmed/34419100
http://dx.doi.org/10.1186/s13000-021-01136-w

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