Radiomics-Based Machine Learning to Predict Recurrence in Glioma Patients Using Magnetic Resonance Imaging.

Journal of computer assisted tomography(2023)

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摘要
Our algorithm that is generated by machine learning exhibits promising power and may predict recurrence noninvasively, thereby offering potential value for the early development of interventions to delay or prevent recurrence in glioma patients.
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关键词
glioma,machine learning,recurrence,tree-based pipeline optimization tool
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