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Effect of machine learning methods on predicting NSCLC overall survival time based on Radiomics analysis
BACKGROUND: To investigate the effect of machine learning methods on predicting the Overall Survival (OS) for non-small cell lung cancer based on radiomics features analysis. METHODS: A total of 339 radiomic features were extracted from the segmented tumor volumes of pretreatment computed tomography...
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| Pubblicato in: | Radiat Oncol |
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| Autori principali: | , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
BioMed Central
2018
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6173915/ https://ncbi.nlm.nih.gov/pubmed/30290849 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13014-018-1140-9 |
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