Deep learning for fully-automated nuclear pleomorphism scoring in breast cancer

To guide the choice of treatment, every new breast cancer is assessed for aggressiveness (i.e., graded) by an experienced histopathologist. Typically, this tumor grade consists of three components, one of which is the nuclear pleomorphism score (the extent of abnormalities in the overall appearance...

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Detalles Bibliográficos
Autores principales: Mercan, Caner, Balkenhol, Maschenka, Salgado, Roberto, Sherman, Mark, Vielh, Philippe, Vreuls, Willem, Polónia, António, Horlings, Hugo M., Weichert, Wilko, Carter, Jodi M., Bult, Peter, Christgen, Matthias, Denkert, Carsten, van de Vijver, Koen, Bokhorst, John-Melle, van der Laak, Jeroen, Ciompi, Francesco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9643392/
https://www.ncbi.nlm.nih.gov/pubmed/36347887
http://dx.doi.org/10.1038/s41523-022-00488-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9643392/
https://www.ncbi.nlm.nih.gov/pubmed/36347887
http://dx.doi.org/10.1038/s41523-022-00488-w

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