Differentiation of Low-Grade Astrocytoma From Anaplastic Astrocytoma Using Radiomics-Based Machine Learning Techniques

PURPOSE: To investigate the diagnostic ability of radiomics-based machine learning in differentiating atypical low-grade astrocytoma (LGA) from anaplastic astrocytoma (AA). METHODS: The current study involved 175 patients diagnosed with LGA (n = 95) or AA (n = 80) and treated in the Neurosurgery Dep...

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Detalles Bibliográficos
Autores principales: Chen, Boran, Chen, Chaoyue, Wang, Jian, Teng, Yuen, Ma, Xuelei, Xu, Jianguo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8204041/
https://www.ncbi.nlm.nih.gov/pubmed/34141605
http://dx.doi.org/10.3389/fonc.2021.521313

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8204041/
https://www.ncbi.nlm.nih.gov/pubmed/34141605
http://dx.doi.org/10.3389/fonc.2021.521313

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