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Prediction of the human papillomavirus status in patients with oropharyngeal squamous cell carcinoma by FDG-PET imaging dataset using deep learning analysis: A hypothesis-generating study

Noriyuki Fujima, V. Carlota Andreu‐Arasa, Sara K. Meibom, Gustavo Mercier, Minh Tam Truong, Osamu Sakai

2020European Journal of Radiology23 citationsDOI

Topics & Concepts

MedicineHuman papillomavirusDeep learningRadiologyCohortDiagnostic accuracyPredictive valuePositron emission tomographyNuclear medicinePathologyArtificial intelligenceInternal medicineComputer scienceHead and Neck Cancer StudiesRadiomics and Machine Learning in Medical ImagingBrain Tumor Detection and Classification
Prediction of the human papillomavirus status in patients with oropharyngeal squamous cell carcinoma by FDG-PET imaging dataset using deep learning analysis: A hypothesis-generating study | Litcius