Deep Learning to Estimate Human Epidermal Growth Factor Receptor 2 Status from Hematoxylin and Eosin-Stained Breast Tissue Images

CONTEXT: Several therapeutically important mutations in cancers are economically detected using immunohistochemistry (IHC), which highlights the overexpression of specific antigens associated with the mutation. However, IHC panels can be imprecise and relatively expensive in low-income settings. On...

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Detalles Bibliográficos
Autores principales: Anand, Deepak, Kurian, Nikhil Cherian, Dhage, Shubham, Kumar, Neeraj, Rane, Swapnil, Gann, Peter H., Sethi, Amit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7513777/
https://www.ncbi.nlm.nih.gov/pubmed/33033656
http://dx.doi.org/10.4103/jpi.jpi_10_20

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7513777/
https://www.ncbi.nlm.nih.gov/pubmed/33033656
http://dx.doi.org/10.4103/jpi.jpi_10_20

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