Comparison of Radiomics-Based Machine-Learning Classifiers in Diagnosis of Glioblastoma From Primary Central Nervous System Lymphoma

Purpose: The purpose of the current study was to evaluate the ability of magnetic resonance (MR) radiomics-based machine-learning algorithms in differentiating glioblastoma (GBM) from primary central nervous system lymphoma (PCNSL). Method: One-hundred and thirty-eight patients were enrolled in this...

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Detalles Bibliográficos
Autores principales: Chen, Chaoyue, Zheng, Aiping, Ou, Xuejin, Wang, Jian, Ma, Xuelei
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/PMC7522159/
https://www.ncbi.nlm.nih.gov/pubmed/33042784
http://dx.doi.org/10.3389/fonc.2020.01151

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7522159/
https://www.ncbi.nlm.nih.gov/pubmed/33042784
http://dx.doi.org/10.3389/fonc.2020.01151

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