Oropharyngeal squamous cell carcinoma: radiomic machine-learning classifiers from multiparametric MR images for determination of HPV infection status

We investigated the ability of machine-learning classifiers on radiomics from pre-treatment multiparametric magnetic resonance imaging (MRI) to accurately predict human papillomavirus (HPV) status in patients with oropharyngeal squamous cell carcinoma (OPSCC). This retrospective study collected data...

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Detalles Bibliográficos
Autores principales: Suh, Chong Hyun, Lee, Kyung Hwa, Choi, Young Jun, Chung, Sae Rom, Baek, Jung Hwan, Lee, Jeong Hyun, Yun, Jihye, Ham, Sungwon, Kim, Namkug
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7568530/
https://www.ncbi.nlm.nih.gov/pubmed/33067484
http://dx.doi.org/10.1038/s41598-020-74479-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7568530/
https://www.ncbi.nlm.nih.gov/pubmed/33067484
http://dx.doi.org/10.1038/s41598-020-74479-x

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