Overall Survival Prediction in Glioblastoma With Radiomic Features Using Machine Learning

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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Bibliographic Details
Main Authors: Ujjwal Baid, Swapnil U. Rane, Sanjay Talbar, Sudeep Gupta, Meenakshi H. Thakur, Aliasgar Moiyadi, Abhishek Mahajan
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-08-01
Series:Frontiers in Computational Neuroscience
Subjects:
brain tumor
glioblastoma
overall survival
radiomic
machine learning
Online Access:https://www.frontiersin.org/article/10.3389/fncom.2020.00061/full

Internet

https://www.frontiersin.org/article/10.3389/fncom.2020.00061/full

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