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Development and Testing of a Machine Learning Model Using (18)F-Fluorodeoxyglucose PET/CT-Derived Metabolic Parameters to Classify Human Papillomavirus Status in Oropharyngeal Squamous Carcinoma

OBJECTIVE: To develop and test a machine learning model for classifying human papillomavirus (HPV) status of patients with oropharyngeal squamous cell carcinoma (OPSCC) using (18)F-fluorodeoxyglucose ((18)F-FDG) PET-derived parameters in derived parameters and an appropriate combination of machine l...

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Detalles Bibliográficos
Autores principales:	Woo, Changsoo, Jo, Kwan Hyeong, Sohn, Beomseok, Park, Kisung, Cho, Hojin, Kang, Won Jun, Kim, Jinna, Lee, Seung-Koo
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	The Korean Society of Radiology 2023
Materias:	Neuroimaging and Head & Neck
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9830147/ https://www.ncbi.nlm.nih.gov/pubmed/36606620 http://dx.doi.org/10.3348/kjr.2022.0397

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