Overall Survival Prediction in Glioblastoma With Radiomic Features Using Machine Learning

Glioblastoma is a WHO grade IV brain tumor, which leads to poor overall survival (OS) of patients. For precise surgical and treatment planning, OS prediction of glioblastoma (GBM) patients is highly desired by clinicians and oncologists. Radiomic research attempts at predicting disease prognosis, th...

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Detalles Bibliográficos
Autores principales: Baid, Ujjwal, Rane, Swapnil U., Talbar, Sanjay, Gupta, Sudeep, Thakur, Meenakshi H., Moiyadi, Aliasgar, Mahajan, Abhishek
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7417437/
https://www.ncbi.nlm.nih.gov/pubmed/32848682
http://dx.doi.org/10.3389/fncom.2020.00061

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7417437/
https://www.ncbi.nlm.nih.gov/pubmed/32848682
http://dx.doi.org/10.3389/fncom.2020.00061

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