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Radiomic phenotype features predict pathological response in Non-Small Cell Lung Cancer
BACKGROUND AND PURPOSE: Radiomics can quantify tumor phenotype characteristics non-invasively by applying advanced imaging feature algorithms. In this study we assessed if pre-treatment radiomics data are able to predict pathological response after neoadjuvant chemoradiation in patients with locally...
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| I publikationen: | Radiother Oncol |
|---|---|
| Huvudupphovsmän: | , , , , , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
2016
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4930885/ https://ncbi.nlm.nih.gov/pubmed/27085484 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.radonc.2016.04.004 |
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