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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2021
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| Materias: | |
| 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 |