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Machine learning-based radiomic, clinical and semantic feature analysis for predicting overall survival and MGMT promoter methylation status in patients with glioblastoma

Yiping Lu, Markand Patel, K. Natarajan, Ismail Ughratdar, Paul Sanghera, Raj Jena, Colin Watts, Vijay Sawlani

2020Magnetic Resonance Imaging57 citationsDOI

Topics & Concepts

GlioblastomaProportional hazards modelMedicineMethylationRandom forestOncologyHistopathologyOverall survivalInternal medicineNuclear medicineRadiologyArtificial intelligencePathologyComputer scienceCancer researchBiologyGeneBiochemistryGlioma Diagnosis and TreatmentRadiomics and Machine Learning in Medical ImagingBrain Tumor Detection and Classification
Machine learning-based radiomic, clinical and semantic feature analysis for predicting overall survival and MGMT promoter methylation status in patients with glioblastoma | Litcius