Predicting prognosis and IDH mutation status for patients with lower-grade gliomas using whole slide images

We developed end-to-end deep learning models using whole slide images of adults diagnosed with diffusely infiltrating, World Health Organization (WHO) grade 2 gliomas to predict prognosis and the mutation status of a somatic biomarker, isocitrate dehydrogenase (IDH) 1/2. The models, which utilize Re...

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Detalles Bibliográficos
Autores principales: Jiang, Shuai, Zanazzi, George J., Hassanpour, Saeed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8377095/
https://www.ncbi.nlm.nih.gov/pubmed/34413349
http://dx.doi.org/10.1038/s41598-021-95948-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8377095/
https://www.ncbi.nlm.nih.gov/pubmed/34413349
http://dx.doi.org/10.1038/s41598-021-95948-x

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