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

BACKGROUND: The 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...

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Detalles Bibliográficos
Autores principales: Gao, Min, Huang, Siying, Pan, Xuequn, Liao, Xuan, Yang, Ru, Liu, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516282/
https://www.ncbi.nlm.nih.gov/pubmed/33014836
http://dx.doi.org/10.3389/fonc.2020.01676

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516282/
https://www.ncbi.nlm.nih.gov/pubmed/33014836
http://dx.doi.org/10.3389/fonc.2020.01676

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