Predicting EGFR mutational status from pathology images using a real-world dataset

Treatment of non-small cell lung cancer is increasingly biomarker driven with multiple genomic alterations, including those in the epidermal growth factor receptor (EGFR) gene, that benefit from targeted therapies. We developed a set of algorithms to assess EGFR status and morphology using a real-wo...

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Detalles Bibliográficos
Autores principales: Pao, James J., Biggs, Mikayla, Duncan, Daniel, Lin, Douglas I., Davis, Richard, Huang, Richard S. P., Ferguson, Donna, Janovitz, Tyler, Hiemenz, Matthew C., Eddy, Nathanial R., Lehnert, Erik, Cabili, Moran N., Frampton, Garrett M., Hegde, Priti S., Albacker, Lee A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10020556/
https://www.ncbi.nlm.nih.gov/pubmed/36927889
http://dx.doi.org/10.1038/s41598-023-31284-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10020556/
https://www.ncbi.nlm.nih.gov/pubmed/36927889
http://dx.doi.org/10.1038/s41598-023-31284-6

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