Investigation of radiomic signatures for local recurrence using primary tumor texture analysis in oropharyngeal head and neck cancer patients

Radiomics is one such “big data” approach that applies advanced image refining/data characterization algorithms to generate imaging features that can quantitatively classify tumor phenotypes in a non-invasive manner. We hypothesize that certain textural features of oropharyngeal cancer (OPC) primary...

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Detalles Bibliográficos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5784146/
https://www.ncbi.nlm.nih.gov/pubmed/29367653
http://dx.doi.org/10.1038/s41598-017-14687-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5784146/
https://www.ncbi.nlm.nih.gov/pubmed/29367653
http://dx.doi.org/10.1038/s41598-017-14687-0

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