Radiomic features based on Hessian index for prediction of prognosis in head-and-neck cancer patients

This study demonstrated the usefulness of radiomic features based on the Hessian index of differential topology for the prediction of prognosis prior to treatment in head-and-neck (HN) cancer patients. The Hessian index, which can indicate tumor heterogeneity with convex, concave, and other points (...

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Detalles Bibliográficos
Autores principales: Le, Quoc Cuong, Arimura, Hidetaka, Ninomiya, Kenta, Kabata, Yutaro
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/PMC7718925/
https://www.ncbi.nlm.nih.gov/pubmed/33277570
http://dx.doi.org/10.1038/s41598-020-78338-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7718925/
https://www.ncbi.nlm.nih.gov/pubmed/33277570
http://dx.doi.org/10.1038/s41598-020-78338-7

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