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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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Bibliografski detalji
Izdano u:Front Oncol
Glavni autori: Chen, Chaoyue, Zheng, Aiping, Ou, Xuejin, Wang, Jian, Ma, Xuelei
Format: Artigo
Jezik:Inglês
Izdano: Frontiers Media S.A. 2020
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC7522159/
https://ncbi.nlm.nih.gov/pubmed/33042784
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fonc.2020.01151
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