Ability of Radiomics in Differentiation of Anaplastic Oligodendroglioma From Atypical Low-Grade Oligodendroglioma Using Machine-Learning Approach

Objectives: To investigate the ability of radiomics features from MRI in differentiating anaplastic oligodendroglioma (AO) from atypical low-grade oligodendroglioma using machine-learning algorithms. Methods: A total number of 101 qualified patients (50 participants with AO and 51 with atypical low-...

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Detalles Bibliográficos
Autores principales: Zhang, Yang, Chen, Chaoyue, Cheng, Yangfan, Teng, Yuen, Guo, Wen, Xu, Hui, Ou, Xuejin, Wang, Jian, Li, Hui, Ma, Xuelei, Xu, Jianguo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6929242/
https://www.ncbi.nlm.nih.gov/pubmed/31921635
http://dx.doi.org/10.3389/fonc.2019.01371

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6929242/
https://www.ncbi.nlm.nih.gov/pubmed/31921635
http://dx.doi.org/10.3389/fonc.2019.01371

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