most citedMachine learning and glioma imaging biomarkers

102 citations

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q-bio.QM2019★ 102 cited

Machine learning and glioma imaging biomarkers

Thomas Booth, Matthew Williams, Aysha Luis +3

Aim: To review how machine learning (ML) is applied to imaging biomarkers in neuro-oncology, in particular for diagnosis, prognosis, and treatment response monitoring. Materials an…