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Radiomic Machine-Learning Classifiers for Prognostic Biomarkers of Head and Neck Cancer
INTRODUCTION: “Radiomics” extracts and mines a large number of medical imaging features in a non-invasive and cost-effective way. The underlying assumption of radiomics is that these imaging features quantify phenotypic characteristics of an entire tumor. In order to enhance applicability of radiomi...
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| Publicado no: | Front Oncol |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4668290/ https://ncbi.nlm.nih.gov/pubmed/26697407 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fonc.2015.00272 |
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