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

Abstract 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 u...

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Autores principales: Shuai Jiang, George J. Zanazzi, Saeed Hassanpour
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/f7a305b6c0774af5b9b9e09e00f7d2d9
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