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Radiomic Machine-Learning Classifiers for Prognostic Biomarkers of Head and Neck Cancer

Frontiers in Oncology · 2015 · Vol. 5 · pp. 272–272

Chintan Parmar✉(Maastro Clinic)Patrick Großmann(Dana-Farber Brigham Cancer Center)D. Rietveld(Amsterdam UMC Location VUmc)Michelle M. Rietbergen(Amsterdam UMC Location VUmc)Philippe Lambin(Maastro Clinic)Hugo J.W.L. Aerts✉(Dana-Farber Brigham Cancer Center)

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Abstract

Our study identified prognostic and reliable machine-learning methods for the prediction of overall survival of head and neck cancer patients. Identification of optimal machine-learning methods for radiomics-based prognostic analyses could broaden the scope of radiomics in precision oncology and cancer care.

Radiomics and Machine Learning in Medical Imaging Gastric Cancer Management and Outcomes Sarcoma Diagnosis and TreatmentRadiomicsFeature selectionArtificial intelligenceHead and neck cancerMachine learningMedicineFeature (linguistics)CancerComputer scienceInternal medicine