Machine Learning-Based Analysis of Magnetic Resonance Radiomics for the Classification of Gliosarcoma and Glioblastoma

ObjectiveTo identify optimal machine-learning methods for the radiomics-based differentiation of gliosarcoma (GSM) from glioblastoma (GBM).Materials and MethodsThis retrospective study analyzed cerebral magnetic resonance imaging (MRI) data of 83 patients with pathologically diagnosed GSM (58 men, 2...

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主要な著者:	Zenghui Qian, Lingling Zhang, Jie Hu, Shuguang Chen, Hongyan Chen, Huicong Shen, Fei Zheng, Yuying Zang, Xuzhu Chen
フォーマット:	Artigo
言語:	Inglês
出版事項:	Frontiers Media S.A. 2021-08-01
シリーズ:	Frontiers in Oncology
主題:	gliosarcoma glioblastoma machine learning radiomics differentiation
オンライン･アクセス:	https://www.frontiersin.org/articles/10.3389/fonc.2021.699789/full
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