2022
DOI: 10.21203/rs.3.rs-1841205/v1
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Prediction of HPV status in oropharyngeal squamous cell carcinoma based on radiomics and machine learning algorithms: a multi-cohort study

Abstract: Background: Human papillomavirus status has significant implications for prognostic evaluation and clinical decision-making for oropharyngeal squamous cell carcinoma patients. As a novel method, radiomics provides a possibility for non-invasive diagnosis. The aim of this study was to examine whether computed tomography radiomics and machine learning classifiers can effectively predict human papillomavirus types and be validated in external data in patients with oropharyngeal squamous cell carcinoma based on im… Show more

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Cited by 2 publications
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