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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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| Publicat a: | Sci Rep |
|---|---|
| Autors principals: | , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Nature Publishing Group UK
2020
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7718925/ https://ncbi.nlm.nih.gov/pubmed/33277570 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-78338-7 |
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