Survival prediction in triple negative breast cancer using multiple instance learning of histopathological images

Computational pathology is a rapidly expanding area for research due to the current global transformation of histopathology through the adoption of digital workflows. Survival prediction of breast cancer patients is an important task that currently depends on histopathology assessment of cancer morp...

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Detalles Bibliográficos
Autores principales: Sandarenu, Piumi, Millar, Ewan K. A., Song, Yang, Browne, Lois, Beretov, Julia, Lynch, Jodi, Graham, Peter H., Jonnagaddala, Jitendra, Hawkins, Nicholas, Huang, Junzhou, Meijering, Erik
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/PMC9411153/
https://www.ncbi.nlm.nih.gov/pubmed/36008541
http://dx.doi.org/10.1038/s41598-022-18647-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9411153/
https://www.ncbi.nlm.nih.gov/pubmed/36008541
http://dx.doi.org/10.1038/s41598-022-18647-1

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