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Associations between radiologist-defined semantic and automatically computed radiomic features in non-small cell lung cancer
Tumor phenotypes captured in computed tomography (CT) images can be described qualitatively and quantitatively using radiologist-defined “semantic” and computer-derived “radiomic” features, respectively. While both types of features have shown to be promising predictors of prognosis, the association...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2017
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5471260/ https://www.ncbi.nlm.nih.gov/pubmed/28615677 http://dx.doi.org/10.1038/s41598-017-02425-5 |