Machine Learning-Based Radiomics Predicting Tumor Grades and Expression of Multiple Pathologic Biomarkers in Gliomas

Machine Learning-Based Radiomics Predicting Tumor Grades and Expression of Multiple Pathologic Biomarkers in Gliomas

BackgroundThe grading and pathologic biomarkers of glioma has important guiding significance for the individual treatment. In clinical, it is often necessary to obtain tumor samples through invasive operation for pathological diagnosis. The present study aimed to use conventional machine learning al...

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Bibliographic Details
Main Authors: Min Gao, Siying Huang, Xuequn Pan, Xuan Liao, Ru Yang, Jun Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-09-01
Series:Frontiers in Oncology
Subjects:
glioma
biomarkers
machine learning
radiomics
MRI
Online Access:https://www.frontiersin.org/article/10.3389/fonc.2020.01676/full

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