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Machine Learning-Based Multiparametric Magnetic Resonance Imaging Radiomics for Prediction of H3K27M Mutation in Midline Gliomas

Sedat Giray Kandemirli, Burak Koçak, Shotaro Naganawa, Kerem Öztürk, Stephen Yip, Saurav Chopra, Luciano Rivetti, Amro Saad Aldine, Karra A. Jones, Zuzan Caycı, Toshio Moritani, T. Shawn Sato

2021World Neurosurgery32 citationsDOI

Topics & Concepts

MedicineMagnetic resonance imagingReceiver operating characteristicFluid-attenuated inversion recoveryNuclear medicineArea under the curveRadiologyInternal medicineGlioma Diagnosis and TreatmentRadiomics and Machine Learning in Medical ImagingChromatin Remodeling and Cancer
Machine Learning-Based Multiparametric Magnetic Resonance Imaging Radiomics for Prediction of H3K27M Mutation in Midline Gliomas | Litcius